From f81f5973ec1a8376b0d4dcea5ff17e1e41da609d Mon Sep 17 00:00:00 2001 From: Moshu <1709219+DatMoshu@users.noreply.github.com> Date: Tue, 6 Oct 2026 17:12:29 -0500 Subject: [PATCH] Add UO_Model3D v13 by Levy, shared with the artist's permission The canonical body (model/, pipeline/, vdtool/, READMEs) under third_party/UO_Model3D_v13, with .blend/.fbx/.glb in git LFS. Nothing extracted from the UO client is included: no client/, no .vd files, no original-frame atlas (the .blend is the stripped copy). The repository test checks the model files against provenance.json hashes. Co-Authored-By: Claude Opus 5.5 --- .gitattributes | 3 + THIRD_PARTY_NOTICES.md | 12 +- tests/integration/test_repository.py | 10 + third_party/UO_Model3D_v13/NOTICE.md | 32 + third_party/UO_Model3D_v13/README.md | 497 + third_party/UO_Model3D_v13/README_EN.md | 558 + .../UO_Model3D_v13/model/UO_Body_0x190.blend | 3 + .../UO_Model3D_v13/model/UO_Body_0x190.fbx | 3 + .../UO_Model3D_v13/model/UO_Body_0x190.glb | 3 + .../model/UO_Body_Albedo_dir0.png | Bin 0 -> 438095 bytes .../model/UO_Body_Albedo_dir1.png | Bin 0 -> 408853 bytes .../model/UO_Body_Albedo_dir2.png | Bin 0 -> 390574 bytes .../model/UO_Body_Albedo_dir3.png | Bin 0 -> 406908 bytes .../model/UO_Body_Albedo_dir4.png | Bin 0 -> 408786 bytes .../UO_Model3D_v13/model/UO_Body_Texture.png | Bin 0 -> 432648 bytes .../UO_Model3D_v13/pipeline/add_exact.py | 185 + .../pipeline/add_horse_proxy.py | 70 + .../UO_Model3D_v13/pipeline/bake_all.py | 120 + .../UO_Model3D_v13/pipeline/basemesh.py | 221 + third_party/UO_Model3D_v13/pipeline/below.py | 13 + third_party/UO_Model3D_v13/pipeline/body.py | 188 + .../UO_Model3D_v13/pipeline/body13/bake13.py | 166 + .../pipeline/body13/build_v13.py | 189 + .../UO_Model3D_v13/pipeline/body13/cloth13.py | 207 + .../pipeline/body13/cloth_449all.json | 1 + .../pipeline/body13/cloth_468all.json | 1 + .../pipeline/body13/cloth_view.py | 35 + .../pipeline/body13/clothfit.py | 140 + .../UO_Model3D_v13/pipeline/body13/compose.py | 26 + .../pipeline/body13/dump_horse.py | 14 + .../pipeline/body13/dump_poses.py | 22 + .../pipeline/body13/dump_v12.py | 15 + .../UO_Model3D_v13/pipeline/body13/eval13.py | 26 + .../pipeline/body13/eval_iou.py | 79 + .../UO_Model3D_v13/pipeline/body13/fastr.py | 98 + .../pipeline/body13/fit_shape2.py | 90 + .../UO_Model3D_v13/pipeline/body13/fk.py | 29 + .../pipeline/body13/gen_items.py | 196 + .../pipeline/body13/grip_katana2.json | 16 + .../UO_Model3D_v13/pipeline/body13/handfit.py | 90 + .../pipeline/body13/horse_sdf.py | 103 + .../pipeline/body13/itemframes.py | 25 + .../UO_Model3D_v13/pipeline/body13/itemval.py | 136 + .../pipeline/body13/make_gif.py | 43 + .../pipeline/body13/mh/base.obj | 59167 ++++++++++++++++ .../pipeline/body13/mh/default.mhskel | 4835 ++ .../pipeline/body13/mh/default_weights.mhw | 14613 ++++ .../pipeline/body13/mh/male.target | 19168 +++++ ...-male-young-maxmuscle-averageweight.target | 6843 ++ .../UO_Model3D_v13/pipeline/body13/mhlib.py | 23 + .../UO_Model3D_v13/pipeline/body13/mounted.py | 79 + .../UO_Model3D_v13/pipeline/body13/posefit.py | 106 + .../pipeline/body13/posefit13.py | 99 + .../pipeline/body13/poses13_m3.json | 1 + .../pipeline/body13/poses13_r5.json | 1 + .../pipeline/body13/prep_views.py | 43 + .../pipeline/body13/rig_poses.npz | Bin 0 -> 328050 bytes .../pipeline/body13/run_cloth.py | 55 + .../pipeline/body13/run_cloth_mounted.py | 86 + .../pipeline/body13/run_mounted13.py | 48 + .../pipeline/body13/run_poses.py | 43 + .../pipeline/body13/run_poses13.py | 53 + .../UO_Model3D_v13/pipeline/body13/shape13.py | 242 + .../pipeline/body13/shape_r2.json | 83 + .../pipeline/body13/shield_heater.json | 17 + .../pipeline/body13/shieldfit.py | 77 + .../UO_Model3D_v13/pipeline/body13/skel13.py | 115 + .../pipeline/body13/v12_mesh.npz | Bin 0 -> 641506 bytes .../pipeline/body13/views_from_poses.py | 19 + .../pipeline/body13/views_from_poses13.py | 19 + .../pipeline/body13/weaponfit.py | 102 + .../UO_Model3D_v13/pipeline/body_part_qa.py | 65 + .../pipeline/body_part_raster.py | 134 + .../pipeline/body_pose_apply.py | 49 + .../pipeline/body_pose_export.py | 101 + .../UO_Model3D_v13/pipeline/body_pose_fit.py | 171 + .../pipeline/body_pose_fk_export.py | 45 + .../UO_Model3D_v13/pipeline/body_pose_lib.py | 78 + .../pipeline/body_shape_apply.py | 23 + .../pipeline/body_shape_delta.npz | Bin 0 -> 307675 bytes .../UO_Model3D_v13/pipeline/body_shape_fit.py | 155 + .../UO_Model3D_v13/pipeline/body_shape_lib.py | 115 + .../pipeline/body_shape_overlay.py | 21 + .../pipeline/body_silhouette_qa.py | 58 + .../UO_Model3D_v13/pipeline/bpy_compat.py | 61 + third_party/UO_Model3D_v13/pipeline/build.py | 231 + .../pipeline/build_originals.py | 26 + .../UO_Model3D_v13/pipeline/check_clav.py | 17 + .../UO_Model3D_v13/pipeline/clav_test.py | 73 + .../UO_Model3D_v13/pipeline/compare.py | 91 + .../UO_Model3D_v13/pipeline/compare2.py | 56 + .../UO_Model3D_v13/pipeline/corr_fit.py | 163 + .../UO_Model3D_v13/pipeline/corr_fit3.py | 130 + .../UO_Model3D_v13/pipeline/corr_fit34.py | 96 + .../UO_Model3D_v13/pipeline/corr_fit_core.py | 193 + .../UO_Model3D_v13/pipeline/delight_bake.py | 125 + .../UO_Model3D_v13/pipeline/diag_offset.py | 28 + .../UO_Model3D_v13/pipeline/err_parts.py | 65 + third_party/UO_Model3D_v13/pipeline/export.py | 34 + .../pipeline/extract_tiledata.py | 85 + .../UO_Model3D_v13/pipeline/finalize_v10.py | 18 + .../UO_Model3D_v13/pipeline/finalize_v6.py | 18 + .../UO_Model3D_v13/pipeline/finalize_v7.py | 18 + .../UO_Model3D_v13/pipeline/finalize_v8.py | 18 + .../UO_Model3D_v13/pipeline/finalize_v8b.py | 18 + .../UO_Model3D_v13/pipeline/finalize_v9.py | 18 + third_party/UO_Model3D_v13/pipeline/fit.py | 152 + third_party/UO_Model3D_v13/pipeline/foot_z.py | 16 + third_party/UO_Model3D_v13/pipeline/gross.py | 24 + .../UO_Model3D_v13/pipeline/horse_hull.py | 161 + .../UO_Model3D_v13/pipeline/identity.py | 43 + .../UO_Model3D_v13/pipeline/inflate_test.py | 40 + .../UO_Model3D_v13/pipeline/iou_stats.py | 21 + third_party/UO_Model3D_v13/pipeline/jitter.py | 24 + .../UO_Model3D_v13/pipeline/jitter_fix.py | 91 + .../UO_Model3D_v13/pipeline/layer_analysis.py | 157 + .../pipeline/layer_analysis_report.py | 34 + .../UO_Model3D_v13/pipeline/lean_probe.py | 25 + .../UO_Model3D_v13/pipeline/light_data.py | 48 + .../UO_Model3D_v13/pipeline/light_fit.py | 116 + .../UO_Model3D_v13/pipeline/light_items.py | 167 + .../UO_Model3D_v13/pipeline/light_raster.py | 157 + .../pipeline/measure_equipment_extent.py | 91 + .../UO_Model3D_v13/pipeline/merge_anims.py | 32 + .../UO_Model3D_v13/pipeline/merge_posefit.py | 42 + .../UO_Model3D_v13/pipeline/merge_v6.py | 32 + .../pipeline/metal_highlight_fit.py | 37 + .../UO_Model3D_v13/pipeline/overlay_eval.py | 24 + .../UO_Model3D_v13/pipeline/pack_originals.py | 18 + .../UO_Model3D_v13/pipeline/param_shape.py | 104 + .../UO_Model3D_v13/pipeline/patch_final.py | 191 + .../UO_Model3D_v13/pipeline/perdir_bake.py | 29 + .../UO_Model3D_v13/pipeline/posefit_mesh.py | 286 + .../UO_Model3D_v13/pipeline/posefit_polish.py | 25 + .../UO_Model3D_v13/pipeline/posefit_search.py | 138 + .../UO_Model3D_v13/pipeline/posefit_seq.py | 111 + .../UO_Model3D_v13/pipeline/preview.py | 33 + .../UO_Model3D_v13/pipeline/preview_fix.py | 36 + third_party/UO_Model3D_v13/pipeline/reeval.py | 10 + .../UO_Model3D_v13/pipeline/refine_mesh.py | 207 + .../UO_Model3D_v13/pipeline/refine_shape2.py | 79 + .../UO_Model3D_v13/pipeline/refine_shape3.py | 106 + .../UO_Model3D_v13/pipeline/render3d_gif.py | 79 + .../UO_Model3D_v13/pipeline/render_body_vd.py | 17 + .../UO_Model3D_v13/pipeline/render_check.py | 36 + .../UO_Model3D_v13/pipeline/render_overlay.py | 23 + .../pipeline/render_uo_layer.py | 823 + third_party/UO_Model3D_v13/pipeline/rig.py | 87 + .../UO_Model3D_v13/pipeline/run_anims.py | 115 + .../UO_Model3D_v13/pipeline/run_anims2.py | 233 + .../pipeline/run_render_headless.py | 40 + .../pipeline/run_script_in_blend.py | 10 + .../UO_Model3D_v13/pipeline/run_shape.py | 54 + .../UO_Model3D_v13/pipeline/sdfmesh.py | 150 + .../UO_Model3D_v13/pipeline/shift_test.py | 27 + .../pipeline/strip_originals.py | 17 + .../pipeline/sync_blend_scripts.py | 32 + .../UO_Model3D_v13/pipeline/targets.py | 33 + .../UO_Model3D_v13/pipeline/test_canvas.py | 94 + .../UO_Model3D_v13/pipeline/test_exact.py | 23 + .../pipeline/test_import_item.py | 76 + .../UO_Model3D_v13/pipeline/test_items.py | 134 + .../UO_Model3D_v13/pipeline/test_items_pre.py | 99 + .../UO_Model3D_v13/pipeline/test_materials.py | 101 + .../UO_Model3D_v13/pipeline/test_real_item.py | 42 + .../UO_Model3D_v13/pipeline/test_tall_item.py | 50 + .../pipeline/test_weapon_roll.py | 95 + .../pipeline/test_weapon_roll_pre.py | 62 + .../UO_Model3D_v13/pipeline/test_weapons.py | 79 + .../pipeline/test_weapons_pre.py | 31 + .../UO_Model3D_v13/pipeline/texbake.py | 154 + .../UO_Model3D_v13/pipeline/uo_bind_item.py | 298 + .../UO_Model3D_v13/pipeline/uo_cloth_bake.py | 612 + .../UO_Model3D_v13/pipeline/uo_fit_item.py | 339 + .../UO_Model3D_v13/pipeline/uo_import_item.py | 153 + third_party/UO_Model3D_v13/pipeline/uo_job.py | 125 + .../pipeline/uo_layers_setup.py | 127 + .../UO_Model3D_v13/pipeline/uo_materials.py | 192 + .../pipeline/uo_place_shield.py | 89 + .../pipeline/uo_place_weapon.py | 41 + .../UO_Model3D_v13/pipeline/uo_shield_keys.py | 31 + .../pipeline/uo_transfer_corrections.py | 73 + .../UO_Model3D_v13/pipeline/uo_vd_writer.py | 129 + .../pipeline/uo_weapon_bones.py | 54 + third_party/UO_Model3D_v13/pipeline/vd.py | 46 + third_party/UO_Model3D_v13/pipeline/view3d.py | 39 + third_party/UO_Model3D_v13/pipeline/viz.py | 18 + .../pipeline/weapon_classify.py | 43 + .../UO_Model3D_v13/pipeline/weapon_fit.py | 234 + .../pipeline/weapon_motion.json | 1 + .../pipeline/weapon_motion_add.py | 21 + .../pipeline/weapon_pose_export.py | 65 + .../pipeline/weapon_roll_apply.py | 48 + .../pipeline/weapon_roll_fit.py | 150 + .../pipeline/weapon_roll_lib.py | 369 + third_party/UO_Model3D_v13/pipeline/zoom.py | 22 + third_party/UO_Model3D_v13/provenance.json | 11 + third_party/UO_Model3D_v13/vdtool/mul2vd.py | 37 + third_party/UO_Model3D_v13/vdtool/vdtool.py | 350 + 199 files changed, 121637 insertions(+), 2 deletions(-) create mode 100644 .gitattributes create mode 100644 third_party/UO_Model3D_v13/NOTICE.md create mode 100644 third_party/UO_Model3D_v13/README.md create mode 100644 third_party/UO_Model3D_v13/README_EN.md create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_0x190.blend create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_0x190.fbx create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_0x190.glb create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir0.png create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir1.png create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir2.png create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir3.png create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir4.png create mode 100644 third_party/UO_Model3D_v13/model/UO_Body_Texture.png create mode 100644 third_party/UO_Model3D_v13/pipeline/add_exact.py create mode 100644 third_party/UO_Model3D_v13/pipeline/add_horse_proxy.py create mode 100644 third_party/UO_Model3D_v13/pipeline/bake_all.py create mode 100644 third_party/UO_Model3D_v13/pipeline/basemesh.py create mode 100644 third_party/UO_Model3D_v13/pipeline/below.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/bake13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/build_v13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/cloth13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/cloth_449all.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/cloth_468all.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/cloth_view.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/clothfit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/compose.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/dump_horse.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/dump_poses.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/dump_v12.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/eval13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/eval_iou.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/fastr.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/fit_shape2.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/fk.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/gen_items.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/grip_katana2.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/handfit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/horse_sdf.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/itemframes.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/itemval.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/make_gif.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mh/base.obj create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mh/default.mhskel create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mh/default_weights.mhw create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mh/male.target create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mh/universal-male-young-maxmuscle-averageweight.target create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mhlib.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/mounted.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/posefit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/posefit13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/poses13_m3.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/poses13_r5.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/prep_views.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/rig_poses.npz create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/run_cloth.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/run_cloth_mounted.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/run_mounted13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/run_poses.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/run_poses13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/shape13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/shape_r2.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/shield_heater.json create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/shieldfit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/skel13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/v12_mesh.npz create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/views_from_poses.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/views_from_poses13.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body13/weaponfit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_part_qa.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_part_raster.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_pose_apply.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_pose_export.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_pose_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_pose_fk_export.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_pose_lib.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_shape_apply.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_shape_delta.npz create mode 100644 third_party/UO_Model3D_v13/pipeline/body_shape_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_shape_lib.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_shape_overlay.py create mode 100644 third_party/UO_Model3D_v13/pipeline/body_silhouette_qa.py create mode 100644 third_party/UO_Model3D_v13/pipeline/bpy_compat.py create mode 100644 third_party/UO_Model3D_v13/pipeline/build.py create mode 100644 third_party/UO_Model3D_v13/pipeline/build_originals.py create mode 100644 third_party/UO_Model3D_v13/pipeline/check_clav.py create mode 100644 third_party/UO_Model3D_v13/pipeline/clav_test.py create mode 100644 third_party/UO_Model3D_v13/pipeline/compare.py create mode 100644 third_party/UO_Model3D_v13/pipeline/compare2.py create mode 100644 third_party/UO_Model3D_v13/pipeline/corr_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/corr_fit3.py create mode 100644 third_party/UO_Model3D_v13/pipeline/corr_fit34.py create mode 100644 third_party/UO_Model3D_v13/pipeline/corr_fit_core.py create mode 100644 third_party/UO_Model3D_v13/pipeline/delight_bake.py create mode 100644 third_party/UO_Model3D_v13/pipeline/diag_offset.py create mode 100644 third_party/UO_Model3D_v13/pipeline/err_parts.py create mode 100644 third_party/UO_Model3D_v13/pipeline/export.py create mode 100644 third_party/UO_Model3D_v13/pipeline/extract_tiledata.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v10.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v6.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v7.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v8.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v8b.py create mode 100644 third_party/UO_Model3D_v13/pipeline/finalize_v9.py create mode 100644 third_party/UO_Model3D_v13/pipeline/fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/foot_z.py create mode 100644 third_party/UO_Model3D_v13/pipeline/gross.py create mode 100644 third_party/UO_Model3D_v13/pipeline/horse_hull.py create mode 100644 third_party/UO_Model3D_v13/pipeline/identity.py create mode 100644 third_party/UO_Model3D_v13/pipeline/inflate_test.py create mode 100644 third_party/UO_Model3D_v13/pipeline/iou_stats.py create mode 100644 third_party/UO_Model3D_v13/pipeline/jitter.py create mode 100644 third_party/UO_Model3D_v13/pipeline/jitter_fix.py create mode 100644 third_party/UO_Model3D_v13/pipeline/layer_analysis.py create mode 100644 third_party/UO_Model3D_v13/pipeline/layer_analysis_report.py create mode 100644 third_party/UO_Model3D_v13/pipeline/lean_probe.py create mode 100644 third_party/UO_Model3D_v13/pipeline/light_data.py create mode 100644 third_party/UO_Model3D_v13/pipeline/light_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/light_items.py create mode 100644 third_party/UO_Model3D_v13/pipeline/light_raster.py create mode 100644 third_party/UO_Model3D_v13/pipeline/measure_equipment_extent.py create mode 100644 third_party/UO_Model3D_v13/pipeline/merge_anims.py create mode 100644 third_party/UO_Model3D_v13/pipeline/merge_posefit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/merge_v6.py create mode 100644 third_party/UO_Model3D_v13/pipeline/metal_highlight_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/overlay_eval.py create mode 100644 third_party/UO_Model3D_v13/pipeline/pack_originals.py create mode 100644 third_party/UO_Model3D_v13/pipeline/param_shape.py create mode 100644 third_party/UO_Model3D_v13/pipeline/patch_final.py create mode 100644 third_party/UO_Model3D_v13/pipeline/perdir_bake.py create mode 100644 third_party/UO_Model3D_v13/pipeline/posefit_mesh.py create mode 100644 third_party/UO_Model3D_v13/pipeline/posefit_polish.py create mode 100644 third_party/UO_Model3D_v13/pipeline/posefit_search.py create mode 100644 third_party/UO_Model3D_v13/pipeline/posefit_seq.py create mode 100644 third_party/UO_Model3D_v13/pipeline/preview.py create mode 100644 third_party/UO_Model3D_v13/pipeline/preview_fix.py create mode 100644 third_party/UO_Model3D_v13/pipeline/reeval.py create mode 100644 third_party/UO_Model3D_v13/pipeline/refine_mesh.py create mode 100644 third_party/UO_Model3D_v13/pipeline/refine_shape2.py create mode 100644 third_party/UO_Model3D_v13/pipeline/refine_shape3.py create mode 100644 third_party/UO_Model3D_v13/pipeline/render3d_gif.py create mode 100644 third_party/UO_Model3D_v13/pipeline/render_body_vd.py create mode 100644 third_party/UO_Model3D_v13/pipeline/render_check.py create mode 100644 third_party/UO_Model3D_v13/pipeline/render_overlay.py create mode 100644 third_party/UO_Model3D_v13/pipeline/render_uo_layer.py create mode 100644 third_party/UO_Model3D_v13/pipeline/rig.py create mode 100644 third_party/UO_Model3D_v13/pipeline/run_anims.py create mode 100644 third_party/UO_Model3D_v13/pipeline/run_anims2.py create mode 100644 third_party/UO_Model3D_v13/pipeline/run_render_headless.py create mode 100644 third_party/UO_Model3D_v13/pipeline/run_script_in_blend.py create mode 100644 third_party/UO_Model3D_v13/pipeline/run_shape.py create mode 100644 third_party/UO_Model3D_v13/pipeline/sdfmesh.py create mode 100644 third_party/UO_Model3D_v13/pipeline/shift_test.py create mode 100644 third_party/UO_Model3D_v13/pipeline/strip_originals.py create mode 100644 third_party/UO_Model3D_v13/pipeline/sync_blend_scripts.py create mode 100644 third_party/UO_Model3D_v13/pipeline/targets.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_canvas.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_exact.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_import_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_items.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_items_pre.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_materials.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_real_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_tall_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_weapon_roll.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_weapon_roll_pre.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_weapons.py create mode 100644 third_party/UO_Model3D_v13/pipeline/test_weapons_pre.py create mode 100644 third_party/UO_Model3D_v13/pipeline/texbake.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_bind_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_cloth_bake.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_fit_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_import_item.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_job.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_layers_setup.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_materials.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_place_shield.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_place_weapon.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_shield_keys.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_transfer_corrections.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_vd_writer.py create mode 100644 third_party/UO_Model3D_v13/pipeline/uo_weapon_bones.py create mode 100644 third_party/UO_Model3D_v13/pipeline/vd.py create mode 100644 third_party/UO_Model3D_v13/pipeline/view3d.py create mode 100644 third_party/UO_Model3D_v13/pipeline/viz.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_classify.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_motion.json create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_motion_add.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_pose_export.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_roll_apply.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_roll_fit.py create mode 100644 third_party/UO_Model3D_v13/pipeline/weapon_roll_lib.py create mode 100644 third_party/UO_Model3D_v13/pipeline/zoom.py create mode 100644 third_party/UO_Model3D_v13/provenance.json create mode 100644 third_party/UO_Model3D_v13/vdtool/mul2vd.py create mode 100644 third_party/UO_Model3D_v13/vdtool/vdtool.py diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..9832387 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +third_party/UO_Model3D_v13/model/*.blend filter=lfs diff=lfs merge=lfs -text +third_party/UO_Model3D_v13/model/*.fbx filter=lfs diff=lfs merge=lfs -text +third_party/UO_Model3D_v13/model/*.glb filter=lfs diff=lfs merge=lfs -text diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md index d986475..962c833 100644 --- a/THIRD_PARTY_NOTICES.md +++ b/THIRD_PARTY_NOTICES.md @@ -1,8 +1,9 @@ # Third-party notices SpriteMotion's own code, schemas, documentation and annotations are under the -MIT license in [LICENSE](LICENSE). The repository does not bundle any -third-party software or content. The items below are dependencies you install +MIT license in [LICENSE](LICENSE). The one exception is the UO_Model3D v13 body +described below; apart from it the repository does not bundle third-party +software or content. The items below are dependencies you install yourself, or software the tools talk to. ## Contributed code @@ -14,6 +15,13 @@ scripts in `games/ultima-online/outfit-lab/` (`atlas_to_vd.py`, `uo_vd_writer.py`, `vd.py`) and `tools/vd/` were contributed by Levy and are included with his permission. +## UO_Model3D v13 + +`third_party/UO_Model3D_v13/` holds UO_Model3D v13 by Levy, shared with the +artist's permission (the model, its fitting pipeline and `vdtool`). It is not +under the MIT license. It contains no data extracted from the Ultima Online +client; see its [NOTICE](third_party/UO_Model3D_v13/NOTICE.md). + ## Runtime dependencies (installed by pip) | Package | Use | License | diff --git a/tests/integration/test_repository.py b/tests/integration/test_repository.py index 2f3e137..9068153 100644 --- a/tests/integration/test_repository.py +++ b/tests/integration/test_repository.py @@ -49,14 +49,24 @@ def test_no_game_assets_or_local_paths_are_published(): files = tracked_files() starter = REPO / 'examples/cc0-starter' approved = json.loads((starter / 'provenance.json').read_text())['files'] + model = REPO / 'third_party/UO_Model3D_v13' + model_approved = json.loads((model / 'provenance.json').read_text())['files'] for path in files: rel = path.relative_to(REPO).as_posix() assert not rel.startswith("workspace/") or rel == "workspace/README.md", rel if path.parent == starter and path.name in approved: assert path.suffix == '.glb' assert hashlib.sha256(path.read_bytes()).hexdigest() == approved[path.name]['sha256'], rel + elif rel.startswith('third_party/UO_Model3D_v13/') and rel.removeprefix('third_party/UO_Model3D_v13/') in model_approved: + data = path.read_bytes() # a git-lfs pointer carries the sha256 of the real file + pointer = re.search(rb'^oid sha256:([0-9a-f]{64})$', data, re.MULTILINE) if data.startswith(b'version https://git-lfs') else None + digest = pointer.group(1).decode() if pointer else hashlib.sha256(data).hexdigest() + assert digest == model_approved[rel.removeprefix('third_party/UO_Model3D_v13/')], rel else: assert path.suffix.lower() not in {".mul", ".uop", ".idx", ".blend", ".fbx", ".glb"}, rel + if rel.startswith('third_party/UO_Model3D_v13/'): + assert path.suffix.lower() not in {".vd", ".mul", ".uop", ".idx", ".pkl"}, f"client-derived or unsafe file: {rel}" + assert not {'client', 'extract'} & set(path.parts), rel if rel.startswith("games/") and path.suffix.lower() in {".png", ".bmp", ".gif"}: pytest.fail(f"image under games/ (game art must never be committed): {rel}") if path.suffix.lower() in {".py", ".gd", ".json", ".md", ".bat", ".toml", ".cfg", ".godot", ".tscn", diff --git a/third_party/UO_Model3D_v13/NOTICE.md b/third_party/UO_Model3D_v13/NOTICE.md new file mode 100644 index 0000000..7dda9d4 --- /dev/null +++ b/third_party/UO_Model3D_v13/NOTICE.md @@ -0,0 +1,32 @@ +# UO_Model3D v13 + +UO_Model3D v13 by Levy, shared with the artist's permission. + +A rigged 3D rebuild of the Ultima Online male body (body 0x190) with its fitting pipeline. SpriteMotion uses it as the +canonical body (rig `UO_Rig`, 112 bones after the 2026-10 weapon-bone update). Start with `README_EN.md` (English) or +`README.md` (Polish). + +## What is here + +`model/` (`.blend`, `.fbx`, `.glb`, albedo PNGs), `pipeline/`, `vdtool/`, and the two READMEs. The three model files are +stored with git LFS (`git lfs pull` after cloning). + +## What is deliberately not here + +Everything extracted from the Ultima Online client is EA data and is not published: + +- `client/` (original body and horse frames, extraction output). +- All `.vd` files (`body400.vd`, `horse200.vd`, `pipeline/body13/mul/`, the example shirt layer), the original-frame atlas + (`UO_Original_Atlas.png`, `uo_original_frames.json`), the compare GIFs and shirt preview, and fit targets built from + original silhouettes (`views_*.npz`, `horse.npz`). +- All `*.pkl` result caches (also unsafe to load from a stranger). +- The packed original-frame atlas inside the `.blend`: `model/UO_Body_0x190.blend` is the stripped copy. + +The READMEs still describe those files and the "exact modes" that need them. To use them, supply your own client: +copy your `anim1_0x0190.vd` to `pipeline/body400.vd`, then run `build_originals.py` and `pack_originals.py` as the +README says. The scripts that rebuild them stay in `pipeline/`. + +## License + +Shared with permission of the artist (Levy). `pipeline/body13/mh/` holds MakeHuman base data, which the MakeHuman +project publishes under CC0. diff --git a/third_party/UO_Model3D_v13/README.md b/third_party/UO_Model3D_v13/README.md new file mode 100644 index 0000000..b2c904c --- /dev/null +++ b/third_party/UO_Model3D_v13/README.md @@ -0,0 +1,497 @@ +# UO Body 0x190: model 3D z animacji Ultima Online + +Nagi mężczyzna (body 0x190 / 400) odtworzony w 3D z pliku animacji klienta UO `anim1_0x0190.vd`: +35 akcji × 5 kierunków, 210 klatek na kierunek, razem 1050 obrazków. Realistyczne ciało (MakeHuman, CC0) w proporcjach +postaci UO, szkielet 55 kości z palcami i łańcuchami materiału, wszystkie 35 animacji dopasowane do oryginalnych klatek. +Służy do projektowania nowych warstw ubrań, zbroi, włosów, płaszczy i broni: plik `.blend` renderuje nowe klatki UO +i od razu zapisuje je do `.vd`. + +English version: [`README_EN.md`](README_EN.md). + +**Spis treści** +1. [Zawartość](#1-zawartość) +2. [Jak działa model](#2-jak-działa-model) +3. [Modelowanie przedmiotu](#3-modelowanie-przedmiotu) +4. [Render do klatek i pliku `.vd`](#4-render-do-klatek-i-pliku-vd) +5. [Docinanie](#5-docinanie) +6. [Narzędzie `vdtool`](#6-narzędzie-vdtool) +7. [Import do gry](#7-import-do-gry) +8. [Dokładność](#8-dokładność) +9. [Jak powstał model](#9-jak-powstał-model) +10. [Odtworzenie modelu (pipeline)](#10-odtworzenie-modelu-pipeline) +11. [Ograniczenia i częste problemy](#11-ograniczenia-i-częste-problemy) + +--- + +## 1. Zawartość + +| Plik / folder | Co to jest | +|---|---| +| `UO_Body_0x190.blend` | Główny plik (Blender 4.2 – 5.2): ciało, szkielet, 35 akcji, szablony płaszcza i spódnicy, kamera UO, scena warstw ubrań, bryły konia, skrypty. | +| `UO_Body_0x190.glb` | glTF 2.0: siatka + szkielet + animacje + tekstura (Unity, Godot, three.js, Blender). | +| `UO_Body_0x190.fbx` | FBX: siatka + szkielet + animacje (Maya, 3ds Max, Unreal, Unity). | +| `UO_Body_Texture.png`, `UO_Body_Albedo_dir0..4.png` | Tekstura albedo (szara jak skóra w UO, bez światła) i jej warianty dla 5 kierunków UO. | +| `compare/*.gif` | U góry oryginalny sprite, pod spodem model wyrenderowany kamerą UO (5 kierunków). | +| `example_clothing/` | Przykładowa warstwa (koszula) w `Example_Shirt_layer.vd` i jej podgląd na oryginalnym ciele. | +| `vdtool/vdtool.py` | Narzędzie do rozpakowywania i pakowania `.vd` (rozdział 6). | +| `pipeline/` | Skrypty i dane, którymi zrekonstruowano model (rozdział 10). | +| `pipeline/body400.vd`, `pipeline/horse200.vd` | Oryginalne pliki klienta: ciało 0x190 (`anim1_0x0190.vd`) i koń 0xC8. | +| `client/body_0x190_frames/`, `client/horse_0xC8_frames/` | Oryginalne klatki ciała (1050) i konia (300) jako PNG + `meta.json` (`vdtool extract`). | + +**Oryginalne klatki.** Plik `.blend` zawiera oryginalne klatki ciała z klienta UO (do trybów dokładnych, rozdział 2). +Jest tylko do własnego użytku. Nie udostępniaj go publicznie. Kopia bez oryginałów (`strip_originals.py`) ich nie ma. Żeby je dodać +z własnego klienta: skopiuj `anim1_0x0190.vd` jako `pipeline/body400.vd`, a w `pipeline/` uruchom +`python build_originals.py` oraz `python pack_originals.py --blend ../model/UO_Body_0x190.blend`. + +## 2. Jak działa model + +**Siatka `UO_Body`** +- Realistyczne ciało na bazie MakeHuman (CC0): 13 380 wierzchołków, UV, palce, stopy z palcami, twarz. + Proporcje (grubość rąk, nóg, tułowia, głowa) dopasowane do oryginalnych klatek z ograniczeniami anatomicznymi. +- Pozycja spoczynkowa to A-pose. Jednostki to metry, postać patrzy w −Y, oś Z w górę. **Podłoga to z = 0.** +- Nie ma korekt kształtu (shape keys): sylwetkę w każdej klatce ustawiają same kości, więc przedmiot po prostu idzie + za kośćmi. + +**Szkielet `UO_Rig`** (55 kości ciała + łańcuchy materiału, sufiksy `.L`/`.R`): +- 19 kości UO: `pelvis → spine → chest → neck → head`, `chest → clavicle → upper_arm → forearm → hand`, + `pelvis → thigh → shin → foot`. `pelvis` jest korzeniem i niesie przesunięcie postaci. Obojczyki unoszą bark. +- `upper_arm_twist`, `forearm_twist` (skręt ramienia i przedramienia), 15 kości palców na dłoń (`finger1-1` … + `finger5-3`, `finger1` to kciuk), `toe` (palce stóp). Kolekcje kości: *Fingers*, *Twist*, *Toes*, *Cloth*. +- Wagi pochodzą z MakeHuman (gładkie stawy, bez „cukierków” w łokciach i barkach). +- **Grubość w klatce:** skala X/Z kości `upper_arm`, `forearm`, `hand`, `thigh`, `shin`, `foot`, `head` (Y = 1) lekko + pogrubia lub wyszczupla kończynę tam, gdzie oryginał tego wymaga. Następna kość łańcucha tej skali nie dziedziczy + (Inherit Scale = None), więc długość kończyn się nie zmienia. Przedmiot przypięty do tych kości pogrubia się razem ze skórą. +- **Palce:** w każdej klatce dłoń jest zaciśnięta tak jak na oryginale (zgięcie palców i kciuka dopasowane do klatek). +- **Łańcuchy materiału:** `skirt_K_S` (8 łańcuchów × 3 kości wokół miednicy) i `cloak_K_S` (7 × 4, z tyłu od barków). + Ich ruch dopasowano do oryginalnych klatek spódnicy (anim 449) i płaszcza (anim 468) z `anim.mul`, także na koniu. + +**Dopasowanie do klatek.** Poza każdej z 210 klatek jest dopasowana do 5 kierunków oryginału naraz (1050 obrazków), +bez żadnych korekt kształtu. Obrót prawej dłoni dopasowano dodatkowo do oryginalnych klatek katany (anim 627), więc +broń w dłoni leży jak w grze (klinga średnio co do 0,8 px). + +**Animacje.** Każda akcja UO to akcja Blendera `NN_nazwa` (z fake userem). 1 klatka UO = 3 klatki sceny (24 fps), +z płynną interpolacją. Chód i bieg są zapętlone. Właściwości akcji: `uo_action` (numer) i `uo_frames` (liczba klatek). + +| # | akcja | # | akcja | # | akcja | +|---|---|---|---|---|---| +| 0 | walk_unarmed | 12 | attack_2h_bash | 24 | mounted_run | +| 1 | walk_armed | 13 | attack_2h_slash | 25 | mounted_stand | +| 2 | run_unarmed | 14 | attack_2h_pierce | 26 | mounted_attack_1h | +| 3 | run_armed | 15 | combat_advance | 27 | mounted_attack_bow | +| 4 | stand | 16 | spell_directed | 28 | mounted_attack_crossbow | +| 5 | fidget_1 | 17 | spell_area | 29 | mounted_attack_2h | +| 6 | fidget_2 | 18 | attack_bow | 30 | block | +| 7 | combat_idle_1h | 19 | attack_crossbow | 31 | punch | +| 8 | combat_idle_2h | 20 | get_hit | 32 | bow | +| 9 | attack_1h_slash | 21 | die_forward | 33 | salute | +| 10 | attack_1h_pierce | 22 | die_backward | 34 | eat | +| 11 | attack_1h_bash | 23 | mounted_walk | | | + +Lewa i prawa strona zgadza się z oryginałem (kończyn nigdy nie zamieniano). W akcjach konnych postać siedzi w powietrzu, +bo koń jest w UO osobną animacją. + +**Kamera `UO_Camera`** patrzy dokładnie jak kamera gry. +- Rzut ortograficzny, elewacja 28,45°, 36 px/m, obraz 136×120, punkt zaczepienia w środku piksela (68, 86). Tak są zapisane oryginalne + klatki ciała. `render_uo_layer.py` renderuje na większym płótnie (`CANVAS`, domyślnie 256×256 z zaczepem (128, 192), 36 px/m bez zmian), + bo 136×120 ucina broń dwuręczną, włócznie i wysokie nakrycia głowy (rozdział 4). +- Punkt zaczepienia jest 7 cm nad podłogą (`uo_anchor_height`), bo tak wynika ze wszystkich klatek. +- Kierunek UO ustawia właściwość `uo_direction` (0–4) na `UO_Rig`: 0 przodem, 2 profilem w lewo, 4 tyłem. + Kierunki 5–7 to lustra 3–1, które robi klient. + +**Materiał i światło UO.** Światło UO (jedno, przy kamerze, prawie od przodu) wyznaczyłem z klatek i oddzieliłem od koloru ciała. +- `uo_look = 1` (domyślnie): „wygląd UO”, albedo × (0,08 otoczenia + 0,92 światła UO). Render wygląda jak klatki z gry. +- `uo_look = 0`: zwykłe PBR (Principled BSDF), do edycji i silników gier. Tej wersji używają `.glb`/`.fbx`. +- Grupa węzłów **`UO_Look`** daje to samo światło przedmiotom. Węzeł „Skin hue” opcjonalnie barwi skórę. +- **Tryby dokładne** (wymagają oryginalnych klatek w pliku i silnika Cycles): + - `EXACT_COLORS`: ciało jest „pomalowane” oryginalną klatką UO rzutowaną z kamery, więc ma dokładnie oryginalne kolory. + - `EXACT_BODY`: warstwa ciała jest identyczna z oryginałem, a w warstwie ubrania ciało zasłania przedmiot dokładnie + po oryginalnym obrysie. + +**Koń (akcje 23–29).** Kolekcja `Horse_Proxy` zawiera przybliżoną bryłę konia (body 0xC8) dla każdej klatki konnej. +Bryła decyduje, **co** jest za koniem, a **gdzie** koń jest, wyznacza dokładny obrys z jego klatek (tekst +`uo_horse_masks.json`). Dzięki temu koń zasłania jeźdźca i przedmioty co do piksela. + +**Skrypty w pliku `.blend`** (Text Editor; wybierz je z listy tekstów w nagłówku edytora): + +| Tekst | Rola | +|---|---| +| `render_uo_layer.py` | Render warstwy do klatek i `.vd` (uruchamiasz Alt+P). | +| `light_raster.py`, `light_data.py`, `light_fit.py`, `light_items.py` | Analiza światła i cieni sprite'ów UO (geometria ciała 3D na piksel, promienie do światła, dopasowania, statystyka wszystkich animacji ubieralnych). Wyniki: `docs/qa/light_shadow.md`. | +| `uo_materials.py` | Materiały obcego modelu (PBR, tekstury) → „UO look”: podpina kolor (tekstura, kolor, atrybut koloru) pod węzeł `UO_Look`, zachowuje przezroczystość (alpha ≥ 0,5 = piksel w sprite'cie), wyrzuca parametry PBR (roughness, mapy normalnych, odbicia otoczenia), ale **metal dostaje odblask w stylu UO** (zmierzony na sprite'ach napierśnika i hełmu: `SPEC_STRENGTH` 1,0 × albedo, `SPEC_POWER` 16; płyta 2,0/19, kolczuga 0,7/11, patrz `docs/qa/light_shadow.md`); `SATURATION = 0` daje szary przedmiot do farbowania w grze. Uruchom po `uo_import_item.py`. | +| `uo_import_item.py` | Wprowadza obcy model (darmowy, `.glb` `.fbx` `.obj` `.dae`…) na ciało: wypieka siatkę bez obcego szkieletu i wag, skaluje i ustawia na wysokości oryginalnego przedmiotu UO danego typu (`KIND`), wrzuca do `Clothing` (przed `uo_fit_item.py`, rozdział 3). | +| `uo_fit_item.py` | Obraca rękawy zaznaczonego przedmiotu na ręce i wypycha go ze skóry (przed `uo_bind_item.py`, rozdział 3). | +| `uo_bind_item.py` | Podpina zaznaczony przedmiot do ciała jednym uruchomieniem: parent, Armature i wagi (rozdział 3). | +| `uo_cloth_bake.py` | Symulacja tkaniny dla szat, sukni, spódnic i płaszczy, po `uo_bind_item.py` (rozdział 3). | +| `uo_shield_keys.py` | Podmienia ruch kości tarczy `shield.L` w starszym pliku na najnowszy (tarcza i jej podpięcie zostają). | +| `uo_weapon_bones.py` | Dodaje kości broni (lewa dłoń: `polearm.L`, `axe2h.L`, `bow.L`; prawa: `weapon1h.R`) i klucze ich ruchu z `weapon_motion.json` (uruchamiane już w pliku; do ponownego wgrania ruchu). | +| `uo_place_weapon.py` | Stawia zaznaczoną broń (trzon po osi +Z, czubek w górę) na linii chwytu jej klasy, przed `uo_bind_item.py`. Głowicę (ostrze, topór) modeluj jako płaską płytkę w płaszczyźnie XZ, szeroką stroną na +X; skrypt obraca broń wokół trzonu tak jak w oryginalnej broni `REF_ANIM` (np. 624 halabarda, 613 topór kata, 623 szabla), a kość kręci nią dalej wg zmierzonego rollu (`weapon_motion.json`, pole `roll`). Łuki: roll nieokreślony. | +| `weapon_roll_fit.py`, `weapon_roll_lib.py`, `weapon_roll_apply.py`, `weapon_classify.py`, `test_weapon_roll.py` | Pomiar rollu (obrotu wokół własnej osi) wszystkich oryginalnych broni z `anim`..`anim5`, klasyfikacja broni do kości, zapis do `weapon_motion.json`, test renderu płytki ze sprite'em. Wyniki: `docs/qa/weapon_roll.md`. | +| `weapon_motion.json` | Dane: chwyt (punkt, kierunek, położenie dolnego końca) i ruch 4 klas broni (3 w lewej dłoni, 1H w prawej), 210 póz każda. | +| `uo_place_shield.py` | Stawia zaznaczoną tarczę na lewym przedramieniu jak w UO i dosuwa ją do ręki (przed `uo_bind_item.py`, rozdział 3). | +| `uo_vd_writer.py` | Zapis `.vd`, używany przez render (nie uruchamiaj go ręcznie). | +| `uo_job.py` | Uruchamia długie skrypty (render, symulacja tkaniny) krok po kroku z modalnego operatora: okno Blendera nie „wiesza się” (pasek postępu na dole, ESC przerywa). Używany przez `render_uo_layer.py` i `uo_cloth_bake.py` (nie uruchamiaj go ręcznie). | +| `uo_horse_masks.json`, `uo_original_frames.json` | Dane: obrysy konia i oryginalne klatki. | + +Skrypty są w pliku `.blend`, nie w obiektach. Pracuj więc zawsze w `UO_Body_0x190.blend` (File → Open) i dołączaj +do niego swoje przedmioty, a nie odwrotnie. + +## 3. Modelowanie przedmiotu + +1. **Otwórz `UO_Body_0x190.blend`** i zezwól na skrypty: Preferences → Save & Load → *Auto Run Python Scripts* + albo „Allow Execution” w żółtym pasku. +2. **Pozycja spoczynkowa:** zaznacz `UO_Rig` → Object Data Properties (ikona ludzika) → Pose → *Rest Position*. + Modeluj na ciele w A-pose, a na koniec wróć do *Pose Position*. +3. **Dodaj przedmiot:** wymodeluj go albo zaimportuj (File → Import / Append) i wrzuć do kolekcji **`Clothing`**. + **Model z zewnątrz (np. darmowy):** ustaw w tekście **`uo_import_item.py`** `FILE` (ścieżka do `.glb`, `.fbx`, `.obj`, `.dae`…) + i `KIND` (`shirt`, `plate`, `arms`, `pants`, `legs`, `boots`, `gloves`, `helm`, `skirt`, `cloak`) i uruchom (Alt+P). Skrypt + wypieka siatkę (bez szkieletu i wag z pliku), wyrzuca z pliku wszystko poza siatką, skaluje i ustawia przedmiot tak, żeby + jego wysokość pokryła się z oryginalnym przedmiotem UO tego typu na ciele (zakresy z oryginalnych sprite'ów), i wypisuje + `PART` do `uo_bind_item.py`. Siatki w pliku są wylistowane: oczy, ciało modelu i kształty pomocnicze wyłącz przez `SKIP`. + Jeśli przedmiot patrzy tyłem, ustaw `TURN = 180`. Potem **`uo_materials.py`** (materiały obcego modelu w „UO look”; bez tego błyszczący metal + z modelu wyjdzie w renderze o ok. 55/255 inny niż światło UO; metal dostaje odblask jak w UO), `uo_fit_item.py` i `uo_bind_item.py` (punkty niżej). Sprawdź licencję + modelu. Testy: `pipeline/test_import_item.py` (obcy plik), `pipeline/test_materials.py` (materiały). + Wszystko w tej kolekcji trafia do renderowanej warstwy. `Example_Shirt` usuń albo wyłącz w renderze. +4. **Ubranie, zbroja, hełm, buty, rękawice** (rzeczy, które się uginają): skrypt **`uo_bind_item.py`**. + 1. Każdy przedmiot, który w grze jest osobny (napierśnik, naramienniki, rękawice, buty, hełm), rób jako osobny + obiekt. W klatce 136×120 px widać niewiele szczegółów, więc siatka do ok. 20 tys. wierzchołków w zupełności + wystarczy (za gęstą zmniejsz modyfikatorem *Decimate*). + 2. **Dopasowanie do ciała** (opcjonalnie, w pozycji spoczynkowej): zaznacz przedmiot i uruchom **`uo_fit_item.py`**. + Najpierw rękawy (`MATCH_ARMS`): jeśli przedmiot był robiony pod ręce ustawione inaczej (niżej, bardziej do + przodu, zgięte w łokciu), skrypt sam znajduje ten kąt i obraca rękawy na ręce postaci. Przedmioty bez rękawów + zostają bez zmian. Potem części bliżej skóry niż `MIN_GAP` (15 mm) albo w ciele zostają wypchnięte. Pchnięcie + przesuwa cały obszar wokół w jedną stronę i wygasa płynnie na max(`RADIUS` = 4 cm, `SPREAD` × pchnięcie), więc + zamiast guzów rękaw poszerza się albo przesuwa w całości, a fałdy, nity i wzory idą razem z nim. Duże ściany + podziel wcześniej (Tryb edycji, A, PPM → Pod podziel, Liczba cięć 2), bo mogą przecinać ciało między + wierzchołkami. Ponowne uruchomienie nic już nie zmienia. `MAX_GAP > 0` dodatkowo dociąga odstające miejsca + (zmienia wygląd, domyślnie wyłączone). Położenie i rozmiar ustaw sam. + 3. Zaznacz przedmiot, otwórz tekst **`uo_bind_item.py`**, ustaw `PART` (typ przedmiotu) i uruchom (Alt+P). + Każdy wierzchołek przedmiotu idzie za skórą, która leży **pod nim** (wzdłuż normalnej, `MAP = "under"`), + a wagi są wygładzane na przedmiocie (`SMOOTH = 4`). + + | `PART` | Przedmiot | Za czym idzie | + |---|---|---| + | `"chest"` | napierśnik, kamizelka, tunika | skóra pod spodem; naramiennik na barku w 80% na obojczyku, rękaw niżej na ramieniu za ręką (płynne przejście), dół w 70% za miednicą | + | `"torso"` | coś tylko na tułowiu | pelvis, spine, chest, neck | + | `"shoulders"` | naramienniki | chest, upper_arm | + | `"arms"` | rękawy, osłony ramion | upper_arm, forearm | + | `"gloves"` | rękawice, karwasze | forearm, hand | + | `"legs"` | spodnie, nagolenniki do pasa | pelvis, thigh, shin | + | `"boots"` | buty, nagolenniki | shin, foot | + | `"helm"` | hełm, kaptur, maska | head | + | `"neck"` | obojczyk zbroi, kołnierz | neck, chest, head | + | `"all"` | cała zbroja w jednym obiekcie | skóra pod spodem, wszystkie kości | + | `"robe"` | szata, suknia | góra jak skóra, od pasa w dół łańcuchy spódnicy (płynne przejście 35 cm); rękawy zawsze za rękami | + | `"skirt"` | spódnica, kilt | łańcuchy `skirt_*` (szablon `UO_Template_Skirt`) | + | `"cloak"` | płaszcz, peleryna | łańcuchy `cloak_*` + karczek na barkach (szablon `UO_Template_Cloak`) | + | `"hair"`, `"beard"`, `"hat"` | włosy, broda, czapka | sztywno na `head` (w UO włosy i brody są sztywne) | + | `"weapon1h"` | miecz, maczuga, młot, topór 1H, kryss, kilof | kość `weapon1h.R` na prawej dłoni, ruch dopasowany do 13 oryginalnych broni (0,7–1,3 px zamiast 1,4–2,1 px); najpierw `uo_place_weapon.py` z `PART = "weapon1h"` | + | `"weapon"` / `"weapon.L"` | broń bez kalibracji | sztywno na `hand.R` / `hand.L` | + | `"polearm"` (`"staff"`, `"weapon2h"`) | kij, włócznia, oszczep, widły, halabarda, berdysz, laska, kostur | kość `polearm.L` na lewej dłoni, ruch dopasowany do oryginalnych broni (0,6–1,1 px zamiast 5–6 px); najpierw `uo_place_weapon.py` | + | `"axe2h"` | topór dwuręczny, siekiera i młot w lewej dłoni | kość `axe2h.L` (jak wyżej, błąd 1,2–1,7 px) | + | `"shield"` | tarcza | sztywno na `shield.L` (kość tarczy na przedramieniu, ruch jak tarcza z UO) | + | `"bow"` / `"crossbow"` | łuk / kusza | kość `bow.L` na lewej dłoni (błąd 1,6–2,1 px zamiast 3 px) | + | `"quiver"` | kołczan | sztywno na `chest` | + + Rękawice (`"gloves"`) idą też za palcami, rękawy (`"arms"`) za kośćmi skrętu, buty (`"boots"`) za palcami stóp. + Szablony materiału (kolekcja *Templates*, niewidoczne w renderze) możesz skopiować jako bazę własnego płaszcza + albo spódnicy: kształt zmieniaj w pozycji spoczynkowej, potem `uo_bind_item.py` z `PART = "cloak"` / `"skirt"`. + + Dla `"chest"` bark ustawiasz w linii tego typu: `"upper_arm": (0.2, 0.15, 0.45)` = przy stawie 20% za ręką, + od 45% długości ramienia 100% (rękaw), pomiędzy płynnie. `"thigh": (0.3, 0.1, 0.4)` tak samo dla ud i poł. + + 4. Skrypt robi parent do `UO_Rig`, modyfikator *Armature* i wagi, więc przedmiot rusza się razem ze skórą pod nim. + Uruchom go ponownie po każdej zmianie kształtu przedmiotu (stare wagi zostaną zastąpione). + 5. Wersja ręczna (gdy chcesz własne wagi): Ctrl+P → *Armature Deform → With Empty Groups*, wagi pomaluj + albo skopiuj modyfikatorem *Data Transfer* (Vertex Groups, *Nearest Face Interpolated*) i usuń grupy kości, + których przedmiot nie zakrywa. + 6. Skóra przebijająca przedmiot o kilka mm (w podglądzie 3D) nie robi dziur w klatkach: przy renderze ciało zasłania + przedmiot dopiero wtedy, gdy jest przed nim o więcej niż `HOLDOUT_MARGIN` (1 cm, rozdział 4). + 7. **Tkanina** (opcjonalnie: szata, suknia, spódnica, płaszcz). Zaznacz podpięty przedmiot, zapisz plik i uruchom + **`uo_cloth_bake.py`**. Dół przedmiotu (to, co `uo_bind_item.py` dało na łańcuchy materiału) staje się tkaniną + Blendera: opada, buja się i odbija od ciała. Barki, pierś i rękawy zostają przypięte do szkieletu. + - `GOAL` (0,5): jak mocno materiał ciągnie do kształtu łańcuchów dopasowanych do oryginalnych klatek UO + (0 = czysta tkanina, 1 = bez tkaniny). `MATERIAL`: `silk`, `cotton`, `wool` albo `leather`. + - Każda akcja jest liczona osobno. Najpierw materiał układa się przez `PREROLL` klatek w pierwszej pozie. + Akcje zapętlone w grze (chód, bieg, stanie) są liczone `LOOP_CYCLES` razy i brany jest ostatni cykl, więc + pętla nie skacze. W akcjach konnych przeszkodą jest też koń z danej klatki (kolekcja `Horse_Proxy`). + - `CHAIN_SWING` (0,5): jak bardzo materiał idzie za rozkołysem łańcuchów z UO; mniej = spokojniejszy w szybkich + akcjach (chód bojowy, bieg). + - Po symulacji każda klatka jest sprawdzana z prawdziwym ciałem: miejsca, które weszły w skórę albo są bliżej + niż `FIX_GAP` (4 mm), są płynnie wypychane, więc skóra nie przebija przez materiał. + - Wynik trafia do `uo_cloth/.npz` obok pliku `.blend`. `render_uo_layer.py` używa go sam, a po + bake'u odtwarzanie akcji w podglądzie 3D też pokazuje tkaninę (po ponownym otwarciu pliku uruchom skrypt + z `BAKE = False`, żeby wrócił podgląd). + - Warstwy przedmiotu (płaszcz na tunice) zderzają się ze sobą (`SELF_COLLISION`), więc spodnia nie wychodzi + przez wierzchnią. + - Trwa to 30–60 minut dla wszystkich akcji (mniej: niższe `SIM_VERTS`, `QUALITY` albo tylko wybrane + `ACTIONS`). Po zmianie przedmiotu (kształt, dopasowanie, wagi) uruchom go ponownie; nieaktualny wynik jest + pomijany. `REMOVE = True` wraca do samego podpięcia. +5. **Broń, tarcza, włosy** (rzeczy sztywne): `uo_bind_item.py` z `PART = "weapon"`, `"shield"`, `"hair"` itd. + (tabela wyżej). Miecz ustaw w pozycji spoczynkowej tak, żeby rękojeść była w zaciśniętej prawej dłoni, a klinga + wychodziła po stronie kciuka: tak leży broń na oryginalnych klatkach UO. Tarczę postaw pionowo, licem do widoku z + przodu (Numpad 1), zaznacz i uruchom **`uo_place_shield.py`**: sama stanie na zewnętrznej stronie lewego + przedramienia (jak tarcza heater z UO) i dosunie się do ręki na `GAP` = 1 cm; potem `PART = "shield"`. W + renderze tarczy ustaw `BODY_GAP = 0`, żeby się nie wyginała. +6. **Materiał:** Add → Group → **`UO_Look`**, kolor lub teksturę podepnij na wejście *Albedo*. Rzeczy, które w grze mają + przyjmować kolor (hue), rób w odcieniach szarości. +7. **Sprawdź ruch:** Dope Sheet → Action Editor → wybieraj akcje `NN_nazwa` i odtwarzaj (Spacja). Widok z kamery gry: + Numpad 0, kierunek zmieniasz `uo_direction`. +8. **Wskazówki:** + - Ubranie rób ok. 1–2 cm nad skórą. + - Sprawdzaj zwłaszcza ataki, czary i upadki. + - Spódnice, szaty i płaszcze bindujesz presetami `"skirt"`, `"robe"`, `"cloak"` (idą za łańcuchami materiału), + a naturalny ruch materiału daje potem `uo_cloth_bake.py` (krok 4.7). + +## 4. Render do klatek i pliku `.vd` + +1. Silnik renderowania: **Cycles** (skrypt i tak sam go ustawi, razem z 1 próbką na piksel). +2. Otwórz tekst **`render_uo_layer.py`** i ustaw opcje na początku: + ```python + LAYER = "clothing" # "clothing" = warstwa przedmiotu, "body" = ciało, "all" = podgląd razem + CANVAS = (256, 256) # rozmiar renderu w px (szer., wys.); .vd i tak przycina każdą klatkę do zawartości + ANCHOR = (128, 192) # punkt zaczepienia w płótnie. 256×256 / (128, 192) mieści 444 z 449 animacji ludzi i ekwipunku + # klienta Nelderim (poza nim: latarnia, epolety z papugą). Stary rozmiar: (136, 120) i (68, 86) + ONLY = ["04_stand"] # test jednej akcji; [] = wszystkie 35 akcji + OUTLINE = 0.38 # ciemny kontur 1 px jak w UO (1.0 = bez konturu) + OUT_DIR = "//uo_render/" # folder obok pliku .blend + WRITE_VD = True + VD_FILE = "//uo_render/%s.vd" + HORSE_HOLDOUT = True # akcje konne: koń zasłania przedmiot + EXACT_BODY = True # docinanie po obrysie oryginalnego ciała + EXACT_COLORS = True # kolory ciała z oryginału (LAYER = "body" / "all") + HOLDOUT_MARGIN = 0.01 # ciało zasłania przedmiot, gdy jest przed nim o > 1 cm (płytkie przebicia skóry + # nie robią dziur); 0 = zwykły holdout Cycles + OCCLUDERS = [...] # części ciała, które mogą zasłaniać przedmiot: ręce, dłonie, głowa, nogi; + # tułów nigdy (przedmioty leżą na nim) + OWN_PARTS_NEVER_HIDE = True # części ciała, do których przedmiot jest oskórowany (spodnie: uda, golenie), nigdy go nie + # zasłaniają: przedmiot je okrywa, a ich skóra przed powłoką obcinała paski po bokach + TORSO_HIDE_MARGIN = 0.12 # tylko gdy noszony jest płaszcz: tułów zasłania przedmiot, gdy ten jest za nim o > 12 cm + # (płaszcz wisi za plecami, a z przodu widać tylko jego boki) + DESPECKLE = 28 # pojedyncze ciemne kropki w środku przedmiotu (głębokie detale, nity) dostają kolor + # otoczenia (0 = wył.) + FILL_HOLES = 4 # dziurki do 4 px otoczone przedmiotem są wypełniane (0 = wył.) + BODY_GAP = 0.006 # w każdej klatce części ubrania bliżej niż 6 mm rąk, dłoni, nóg lub głowy są wypychane + # na zewnątrz - ręka przebijająca rękaw w ruchu nie robi dziury (0 = wył.) + MIN_PIECE = 8 # oderwane kawałki przedmiotu mniejsze niż 8 px (brzeg kołnierza / mankietu uciętego + # przez głowę lub dłoń) są usuwane; największy kawałek zostaje zawsze (0 = wył.) + ``` +3. Uruchom **Run Script** (Alt+P). Pełna warstwa to 1050 klatek, ok. 15–30 min na CPU. Warstwa ubrania renderuje się + bez ciała, a to, co ciało zasłania, skrypt liczy z głębokości (z `HOLDOUT_MARGIN = 0` każda klatka renderuje się + dwa razy: z ciałem i bez). +4. Wynik w `uo_render/`: + - `clothing/frames/NN_akcja/dirK/NN.png`: klatki na płótnie `CANVAS` (domyślnie 256×256), + - `clothing/meta.json`: kolejność i punkt zaczepienia, + - **`clothing.vd`**: gotowy plik. + +**Render w częściach.** Kolejne przebiegi do tego samego `OUT_DIR` się sumują. Możesz np. ustawić broń pod ataki +i wyrenderować `ONLY = ["09_attack_1h_slash", ...]`, potem zmienić ułożenie i wyrenderować pozostałe akcje. Każdy przebieg +zapisuje `.vd` ze wszystkimi akcjami wyrenderowanymi do tej pory. Żeby zacząć od zera, usuń folder `uo_render/`. + +**Przerwanie renderu:** w oknie Blendera naciśnij **ESC** (postęp widać w pasku stanu na dole; okno nie zawiesza się, ale na czas +renderu blokuje inne akcje). W trybie tła (`blender -b`, moduł `bpy`) utwórz pusty plik `STOP` w folderze wyjściowym +(np. `uo_render/clothing/STOP`) albo naciśnij Ctrl+C. Gotowe klatki PNG zostają. + +**Kilka przedmiotów:** każdy renderuj osobno. W `Clothing` zostaw jeden przedmiot i zmień `VD_FILE`, np. +`"//uo_render/helm.vd"`. + +## 5. Docinanie + +- **Zasłanianie przez ciało:** warstwa ubrania zawiera tylko to, czego ciało nie zasłania, tak jak w UO. + Z `EXACT_BODY = True` granica biegnie dokładnie po obrysie oryginalnego ciała. Model 3D decyduje tylko, co jest przed, + a co za ciałem, więc przedmiot pasuje do oryginalnego ciała co do piksela. +- **Koń:** w akcjach konnych przedmiot zasłania koń, dokładnie po obrysie z jego klatek. +- **Wygląd UO:** czarne tło pod krawędziami, przezroczystość 0/1 (UO nie obsługuje półprzezroczystości) i ciemny kontur + 1 px (`OUTLINE`). +- **Przycinanie klatek:** `.vd` zapisuje każdą klatkę przyciętą do zawartości, razem z punktem zaczepienia. PNG-i mają + celowo pełne płótno, żeby klatki się pokrywały. Przycięte PNG da `vdtool extract --raw`. +- **`LAYER = "body"`:** z `EXACT_BODY = True` ciało jest identyczne z oryginałem, a z `False` to czysty model 3D + (~98% zgodności). + +## 6. Narzędzie `vdtool` + +`vdtool/vdtool.py` (Python 3.8+, `pip install pillow numpy`) rozpakowuje `.vd` do PNG i pakuje z powrotem w tej samej +kolejności (akcja → kierunek → klatka). Rozpakowanie i spakowanie bez zmian daje plik identyczny bajt w bajt. + +```bash +python vdtool.py info plik.vd # typ, akcje, liczba klatek +python vdtool.py extract plik.vd praca # -> praca/meta.json + praca/frames/NN_akcja/dirK/NN.png +python vdtool.py extract plik.vd praca --raw # klatki przycięte do zawartości +python vdtool.py pack praca nowy.vd # PNG + meta.json -> .vd +python vdtool.py verify plik.vd nowy.vd # co się zmieniło +python mul2vd.py anim.idx anim.mul wynik 701 468 # animacje z plików klienta (np. włosy 701, peleryna 468) -> .vd +``` + +- **Tryb płótna (domyślny):** wszystkie klatki mają ten sam rozmiar i wspólny punkt zaczepienia (`meta.json → anchor`). + Przy pakowaniu każda klatka jest sama przycinana, a środek wyliczany. Najlepszy do edycji i dorysowywania. +- **`--raw`:** oryginalne, przycięte rozmiary. Nie zmieniaj wymiarów ani liczby klatek, nadaje się tylko do retuszu pikseli. + +**Zasady edycji:** +1. Nie przesuwaj rysunku względem płótna: 1 px na płótnie to 1 px w grze. +2. Przezroczystość jest 0/1: alfa ≥ 128 to piksel widoczny, poniżej to przezroczysty. +3. Każdy blok (akcja + kierunek) ma jedną paletę 256 kolorów 15-bit. Przy > 256 kolorach narzędzie redukuje paletę + (median cut) i ostrzega. Czysta czerń jest zamieniana na prawie czarną, bo `0x0000` to przezroczystość. +4. Elementy barwione hue rysuj w szarości (R = G = B). +5. Klatki możesz dodawać (kolejny numer) i usuwać (od końca). Każdy z 5 kierunków akcji powinien mieć tyle samo klatek. +6. Nie zmieniaj nazw folderów ani `meta.json`. Pusta klatka jest dozwolona. + +**Format `.vd`** (little-endian): +``` +int16 magic = 6, int16 animType = 0 (high, 22 akcje) | 1 (low, 13) | 2 (people, 35) +indeks: liczba_akcji*5 wpisów {int32 lookup, int32 length, int32 extra} (-1 = brak); blok = akcja*5 + kierunek +blok: uint16 palette[256] (RGB555), int32 frameCount, int32 frameOffset[frameCount] (od pozycji frameCount) +klatka: int16 centerX, centerY; uint16 width, height; serie {uint32 header, byte pixel[header & 0xFFF]}; 0x7FFF7FFF +header: bity 22..31 = (x - centerX) & 0x3FF, bity 12..21 = (y - centerY - height) & 0x3FF, bity 0..11 = długość serii +punkt zaczepienia w klatce = (centerX, centerY + height) +``` + +## 7. Import do gry + +UOFiddler → **Animations → Animation Edit** → wybierz plik animacji i ID ciała lub przedmiotu → **Import from VD** → +wskaż plik `.vd` → zapisz (Save). Plik `.vd` musi mieć ten sam typ co cel (ciała ludzkie i ich przedmioty mają typ 2, +people). Każdy przedmiot ma osobne ID animacji. + +## 8. Dokładność + +- **Tryb dokładny (`EXACT_BODY = True`):** wyrenderowana warstwa ciała jest identyczna z oryginałem (wszystkie 1050 klatek, + sprawdzone `vdtool verify`). +- **Sam model 3D (`EXACT_BODY = False`):** średnia zgodność obrysu (IoU) **0,879** na 1050 klatkach, **bez żadnych + korekt kształtu** (same kości). Wg kierunku: 0,876–0,893. Kolory na wspólnych pikselach są dokładne z `EXACT_COLORS`. + +| # | akcja | IoU | # | akcja | IoU | # | akcja | IoU | +|---|---|---|---|---|---|---|---|---| +| 0 | walk_unarmed | 0.905 | 12 | attack_2h_bash | 0.882 | 24 | mounted_run | 0.858 | +| 1 | walk_armed | 0.901 | 13 | attack_2h_slash | 0.887 | 25 | mounted_stand | 0.853 | +| 2 | run_unarmed | 0.896 | 14 | attack_2h_pierce | 0.872 | 26 | mounted_attack_1h | 0.853 | +| 3 | run_armed | 0.896 | 15 | combat_advance | 0.881 | 27 | mounted_attack_bow | 0.865 | +| 4 | stand | 0.912 | 16 | spell_directed | 0.879 | 28 | mounted_attack_crossbow | 0.852 | +| 5 | fidget_1 | 0.909 | 17 | spell_area | 0.851 | 29 | mounted_attack_2h | 0.830 | +| 6 | fidget_2 | 0.896 | 18 | attack_bow | 0.868 | 30 | block | 0.884 | +| 7 | combat_idle_1h | 0.882 | 19 | attack_crossbow | 0.887 | 31 | punch | 0.884 | +| 8 | combat_idle_2h | 0.878 | 20 | get_hit | 0.896 | 32 | bow | 0.892 | +| 9 | attack_1h_slash | 0.860 | 21 | die_forward | 0.855 | 33 | salute | 0.902 | +| 10 | attack_1h_pierce | 0.879 | 22 | die_backward | 0.857 | 34 | eat | 0.893 | +| 11 | attack_1h_bash | 0.882 | 23 | mounted_walk | 0.859 | | | | + +Różnice to prawie wyłącznie 1-pikselowe paski wzdłuż krawędzi (oryginał rysowano innym modelem 3D). Dużych błędów, np. +ręki w innym miejscu niż na oryginale, nie ma, więc wycięcia w przedmiotach trafiają w rękę. Dla porównania: poprzedni +model bez swoich 1254 korekt miał 0,880, a z nimi 0,979 (ale przedmioty musiały kopiować te korekty). + +**Przedmioty UO.** Test na prawdziwych przedmiotach z `anim.mul` (koszula, spodnie, buty, rękawice, hełm, zbroja +płytowa): przylegające do ciała przedmioty wyrenderowane na tym modelu odtwarzają oryginalne klatki (razem z wycięciami +na ręce) tak samo dobrze jak poprzedni model z korektami. **Materiał:** spódnica IoU 0,83 (konno 0,62), płaszcz 0,73 +(konno 0,67) względem oryginalnych klatek spódnicy i płaszcza. **Broń:** klinga w dłoni średnio 0,8 px od klingi katany z UO. + +## 9. Jak powstał model + +**Obecne ciało (MakeHuman).** +1. **Kształt:** siatka MakeHuman (CC0, mężczyzna, umięśnienie 0,6) przeniesiona na szkielet UO: każda kończyna na swoją + kość (długość i obwód), tułów mapą wysokości (szerokość, głębokość na 7 poziomach), szyja i głowa osobno, przejścia + wagami MakeHuman. Grubości dopasowane do oryginalnych klatek z karą za nienaturalne kształty. +2. **Szkielet:** 19 kości UO bez zmian + skręt ramion, 15 kości palców na dłoń, palce stóp; wagi z MakeHuman. +3. **Pozy:** każda klatka dopasowana do 5 kierunków naraz (własny szybki rasteryzer + LBS jak w Blenderze), naprzemiennie + z kształtem; grubość kończyn (skala X/Z kości) i zaciśnięcie dłoni też dopasowane w każdej klatce. +4. **Dłoń i broń:** chwyt miecza skalibrowany na oryginalnych klatkach katany (anim 627), potem obrót dłoni w każdej + klatce tak, żeby klinga pokrywała się z oryginałem. Tarcza: kość `shield.L` (dziecko `forearm.L`), jej + obrót i przesunięcie dopasowane w każdej klatce do oryginalnej tarczy (anim 582) we wszystkich 5 kierunkach naraz + (IoU z oryginałem średnio 0,48 → 0,76); lico tarczy od ciała, góra do góry (dwie kary w dopasowaniu), tarcza może + odsunąć się od przedramienia, gdy ręka modelu rusza się inaczej niż tarcza UO. +5. **Konno:** jeździec widoczny tylko tam, gdzie jest przed koniem, i nie może wchodzić w bryłę konia. +6. **Materiał:** łańcuchy kości spódnicy i płaszcza dopasowane klatka po klatce do oryginalnych klatek spódnicy (449) + i płaszcza (468), z zasłanianiem przez ciało, bez przenikania nóg i konia. +7. **Tekstura:** kolory z oryginalnych klatek rzutowane na UV MakeHuman, światło UO usunięte (albedo), osobno dla + 5 kierunków. + +**Pierwsza wersja modelu** (proporcje i kamera UO wyznaczone z klatek, na nich opiera się obecne ciało): +1. **Dekodowanie `.vd`:** paleta RGB555, klatki RLE, punkt zaczepienia. +2. **Kamera UO z samych klatek:** wspólne dopasowanie proporcji ciała i kamery do obrysów z 5 kierunków dało rzut + ortograficzny, elewację 28,45°, 36 px/m, zaczepienie w środku piksela i podłogę 7 cm pod nim. +3. **Kształt:** parametryczne ciało zamienione na siatkę z czworokątów. Wierzchołki dopasowane do obrysów wszystkich klatek + (symetria, gładkość), plus „napompowanie” o 6,5 mm kompensujące bias dopasowania. +4. **Szkielet:** kości w dopasowanych stawach, wagi bone heat, obojczyki. +5. **Pozy (gradientowo, JAX):** każda klatka dopasowana na siatce ze skinningiem (LBS jak w Blenderze) w 5 kierunkach naraz. + Człony celu: + - wierzchołki w obrysie, + - każdy piksel krawędzi osiągnięty, + - limity anatomiczne (zgięcie i skręt osobno, zawiasy łokci i kolan), + - gładkość w czasie, + - kara za wejście pod podłogę. + Start jest od klatki najbliższej znanej pozie, więc bez zamiany L/P. +6. **Wyjście z minimów lokalnych:** przeszukanie wielostartowe (skręt i przechył tułowia, warianty rąk, nóg i orientacji + ciała). Wybór zawsze po prawdziwym IoU zrasteryzowanej siatki, potem wygładzenie drgań A→B→A. +7. **Koń:** bryła wizualna z 5 widoków klatek konia, bez objętości jeźdźca, przycinana dokładnym obrysem konia. +8. **Korekty na klatkę:** przesunięcia wierzchołków dopasowane regułą renderera (piksel liczy się, gdy jego środek jest + w trójkącie). Potem każdy błędny piksel przypisany do odpowiedzialnego trójkąta i korekta na kierunek. + Wszystko zapisane jako shape keys sterowane driverami. +9. **Tekstura i wygląd UO:** światło UO wyznaczone z klatek i usunięte z koloru, dające albedo. Obróbka UO + (czarne tło, alfa 0/1, kontur 0,38) zmierzona na oryginale. +10. **Tryby dokładne:** oryginalne klatki spakowane jako atlas; materiał rzutuje je z kamery UO, a skrypt renderu używa + ich obrysu przy ciele i zasłanianiu ubrań. +11. **Weryfikacja:** rig w Blenderze odtwarza dopasowaną siatkę co do < 0,1 mm, a rasteryzer zgadza się z Cycles + co do 1 piksela. + +## 10. Odtworzenie modelu (pipeline) + +**Obecne ciało** (folder `pipeline/body13/`, uruchamiane z tego folderu; wymagania: `numpy scipy numba pillow "bpy==4.2.*"`). +Zapisane wyniki (`*.json`, `*.npz`) pozwalają powtórzyć dowolny krok. Dane MakeHuman (CC0) są w `mh/`, klatki przedmiotów +UO z `anim.mul` (spódnica, płaszcz, katana, tarcza, koszula, spodnie, buty, zbroja, hełm) w `mul/`. + +| Etap | Skrypty | Wynik | +|---|---|---| +| Dane z pierwszej wersji | `prep_views.py`, `dump_poses.py`, `dump_horse.py`, `dump_v12.py` | `views_*.npz`, `rig_poses.npz`, `horse.npz` | +| Kształt | `shape13.py`, `fit_shape2.py` | `shape_r2.json` | +| Szkielet 55 kości | `skel13.py` | (w pamięci, `build_v13.py`) | +| Pozy | `run_poses13.py`, `views_from_poses13.py`, `run_mounted13.py` (+ `horse_sdf.py`) | `poses13_*.json` | +| Broń i dłoń | `weaponfit.py`, `handfit.py`, `shieldfit.py` | `grip_katana2.json`, `poses13_r5.json`, `shield_heater.json` | +| Materiał | `cloth13.py`, `clothfit.py`, `run_cloth.py`, `run_cloth_mounted.py` | `cloth_449all.json`, `cloth_468all.json` | +| Tekstura | `bake13.py` | albedo 5 kierunków | +| Budowa pliku | `build_v13.py`, potem `../export.py` | `.blend`, `.glb`, `.fbx` | +| Pomiary i podglądy | `eval13.py`, `itemval.py`, `gen_items.py`, `make_gif.py` | IoU, losowe zestawy, GIF-y | + +**Pierwsza wersja modelu** (skrypty w `pipeline/`): + +Skrypty są w `pipeline/`, uruchamia się je z tego folderu. Wymagania: Python 3.11, +`pip install numpy pillow scipy scikit-image jax optax "bpy==4.2.*"`. Pliki klienta są już w `pipeline/`: ciało +`body400.vd` i koń (0xC8) `horse200.vd`. Pliki `*.pkl` to zapisane wyniki, więc kroki można wznawiać. + +| Etap | Skrypty | Wynik | +|---|---|---| +| Proporcje i kamera | `run_shape.py` | `shape_fit.pkl` | +| Siatka, szkielet, scena | `build.py` (`basemesh.py`, `sdfmesh.py`, `rig.py`, `texbake.py`) | `.blend` | +| Kształt z klatek | `refine_mesh.py`, `inflate_test.py` | `refine_mesh.pkl`, `refine_infl.pkl` | +| Światło i tekstura | `delight_bake.py`, `perdir_bake.py` | albedo, `uo_light.pkl` | +| Pozy na siatce | `posefit_seq.py`, `posefit_search.py`, `posefit_polish.py`, `jitter_fix.py`, `reeval.py` | `final_poses_v10.pkl` | +| Koń | `horse_hull.py`, `add_horse_proxy.py` | bryły i obrysy konia | +| Budowa wersji | `patch_final.py` → `uo_layers_setup.py` → `add_horse_proxy.py` → `export.py` | `.blend`, `.glb`, `.fbx` | +| Korekty kształtu | `corr_fit.py` (etap 1), `corr_fit34.py` (piksele + kierunki), `add_exact.py` | shape keys w `.blend` | +| Tryby dokładne | `build_originals.py`, `add_exact.py`, `pack_originals.py`, `strip_originals.py` | wersja finalna | +| Pomiary | `render_body_vd.py --pure`, `compare2.py`, `err_parts.py`, `gross.py`, `zoom.py` | IoU, GIF-y | + +Ważne ustawienia: `UO_DELTA=refine_mesh.pkl` przy dopasowaniu póz, `refine_infl.pkl` przy ocenie i budowie; +`UO_CLAV=1` włącza obojczyki. + +## 11. Ograniczenia i częste problemy + +**Ograniczenia** +- Rysunek mięśni jest bardziej miękki niż na sprite'ach, bo tekstura uśrednia wiele klatek. +- Palce i twarz pochodzą z MakeHuman (na klatkach ~60 px ich nie widać). +- Sam model 3D różni się od oryginału głównie 1-pikselowymi paskami na krawędziach (ok. 12% pikseli sylwetki). + Tryby dokładne (`EXACT_BODY`) usuwają to z renderów: ciało jest zawsze oryginalne, model decyduje tylko, co jest + przed, a co za nim. +- Na koniu dolna część spódnicy i płaszcza może wchodzić w konia: przy renderze koń ją zasłania (jak w UO). +- Koń to przybliżona bryła do zasłaniania, a nie model do edycji. + +**Częste problemy** + +| Problem | Rozwiązanie | +|---|---| +| Text Editor jest pusty | Wybierz tekst z listy w nagłówku edytora. Jeśli lista jest pusta, otwórz `UO_Body_0x190.blend` przez File → Open (nie importuj `.glb`/`.fbx` i nie dołączaj ciała do innej sceny). | +| Czarne albo dziwne ciało na renderze | Włącz *Auto Run Python Scripts* i otwórz plik ponownie. Ustaw Cycles. Sprawdź `LAYER`. | +| Tryby dokładne nic nie zmieniają | W pliku nie ma oryginalnych klatek: użyj `.blend` z tego repozytorium albo `pack_originals.py`. | +| Przedmiot przebija się przez ciało | Uruchom `uo_bind_item.py` z właściwym `PART` i zrób przedmiot odrobinę większy. | +| Przedmiot rozciąga się za ręką lub nogą | Ma wagi kości, których nie zakrywa. Uruchom `uo_bind_item.py` z właściwym `PART`. | +| Blender „wisi” przy skrypcie | Przedmiot ma za dużo wierzchołków. Zmniejsz go (*Decimate*). | +| Przedmiot stoi w miejscu | Brak modyfikatora *Armature* albo wag (rozdział 3). | +| Postać „skacze” w `vdtool` | Rysunek przesunięty względem punktu zaczepienia. | +| Poszarpane krawędzie po imporcie | Półprzezroczyste piksele: ustaw alfę 0 albo 255. | +| UOFiddler odrzuca plik | Inny typ animacji niż cel (ciała ludzkie: typ 2). | +| Render trwa długo | Testuj z `ONLY = ["04_stand"]`, pełny render zrób na końcu. | diff --git a/third_party/UO_Model3D_v13/README_EN.md b/third_party/UO_Model3D_v13/README_EN.md new file mode 100644 index 0000000..89efdc7 --- /dev/null +++ b/third_party/UO_Model3D_v13/README_EN.md @@ -0,0 +1,558 @@ +# UO Body 0x190: a 3D model from Ultima Online animations + +A naked male body (body 0x190 / 400) rebuilt in 3D from the UO client animation file `anim1_0x0190.vd`: +35 actions × 5 directions, 210 frames per direction, 1050 images in total. A realistic body (MakeHuman, CC0) in the +UO character's proportions, a 55-bone rig with fingers and cloth bone chains, and all 35 animations fitted to the +original frames. It is meant for designing new clothing, armour, hair, cloak and weapon layers: the `.blend` renders +new UO frames and writes them straight into a `.vd` file. + +Polish version: [`README.md`](README.md). + +**Contents** +1. [What's included](#1-whats-included) +2. [How the model works](#2-how-the-model-works) +3. [Modelling an item](#3-modelling-an-item) +4. [Rendering frames and the `.vd` file](#4-rendering-frames-and-the-vd-file) +5. [Cutting](#5-cutting) +6. [The `vdtool` tool](#6-the-vdtool-tool) +7. [Importing into the game](#7-importing-into-the-game) +8. [Accuracy](#8-accuracy) +9. [How the model was built](#9-how-the-model-was-built) +10. [Rebuilding the model (pipeline)](#10-rebuilding-the-model-pipeline) +11. [Limitations and common problems](#11-limitations-and-common-problems) +12. [Notes for AI assistants](#12-notes-for-ai-assistants) + +--- + +## 1. What's included + +| File / folder | What it is | +|---|---| +| `UO_Body_0x190.blend` | Main file (Blender 4.2 – 5.2): body, rig, 35 actions, cloak and skirt templates, UO camera, clothing-layer scene, horse proxies, scripts. | +| `UO_Body_0x190.glb` | glTF 2.0: mesh + rig + animations + texture (Unity, Godot, three.js, Blender). | +| `UO_Body_0x190.fbx` | FBX: mesh + rig + animations (Maya, 3ds Max, Unreal, Unity). | +| `UO_Body_Texture.png`, `UO_Body_Albedo_dir0..4.png` | Albedo texture (grey like UO skin, lighting removed) and its variants for the 5 UO directions. | +| `compare/*.gif` | Top: original sprite; bottom: the model rendered through the UO camera (5 directions). | +| `example_clothing/` | Example layer (a shirt) in `Example_Shirt_layer.vd`, with a preview over the original body. | +| `vdtool/vdtool.py` | Tool to unpack and repack `.vd` files (section 6). | +| `pipeline/` | Scripts and data used to rebuild the model (section 10). | +| `pipeline/body400.vd`, `pipeline/horse200.vd` | Original client files: body 0x190 (`anim1_0x0190.vd`) and horse 0xC8. | +| `client/body_0x190_frames/`, `client/horse_0xC8_frames/` | Original body (1050) and horse (300) frames as PNG + `meta.json` (`vdtool extract`). | + +**Original frames.** The `.blend` contains the original UO client body frames (for the exact modes, +section 2). It is for your own use only; do not share it publicly. A stripped copy (`strip_originals.py`) does not contain them. +To add them from your own client: copy `anim1_0x0190.vd` to `pipeline/body400.vd`, then run +`python build_originals.py` and `python pack_originals.py --blend ../model/UO_Body_0x190.blend` in `pipeline/`. + +## 2. How the model works + +**Mesh `UO_Body`** +- A realistic body based on MakeHuman (CC0): 13,380 vertices, UVs, fingers, toes, a face. Its proportions (arm, leg and + torso girth, the head) are fitted to the original frames with anatomical constraints. +- Rest pose: A-pose. Units are metres, the character faces −Y, Z is up. **The floor is z = 0.** +- There are no shape corrections (shape keys): the bones alone set the silhouette in every frame, so an item simply + follows the bones. + +**Rig `UO_Rig`** (55 body bones + cloth chains, `.L`/`.R` suffixes): +- 19 UO bones: `pelvis → spine → chest → neck → head`, `chest → clavicle → upper_arm → forearm → hand`, + `pelvis → thigh → shin → foot`. `pelvis` is the root and carries the character's translation. Clavicles raise the shoulder. +- `upper_arm_twist`, `forearm_twist` (arm twist), 15 finger bones per hand (`finger1-1` … `finger5-3`, `finger1` is the + thumb), `toe`. Bone collections: *Fingers*, *Twist*, *Toes*, *Cloth*. +- Weights come from MakeHuman (smooth joints, no candy-wrapper elbows or shoulders). +- **Girth per frame:** the X/Z scale of `upper_arm`, `forearm`, `hand`, `thigh`, `shin`, `foot`, `head` (Y = 1) makes a + limb slightly thicker or thinner where the original needs it. The next bone of the chain does not inherit it + (Inherit Scale = None), so limb lengths do not change. Items bound to these bones get thicker with the skin. +- **Fingers:** in every frame the hand is clenched like on the original (finger and thumb curl fitted to the frames). +- **Cloth chains:** `skirt_K_S` (8 chains × 3 bones around the pelvis) and `cloak_K_S` (7 × 4, down the back from the + shoulders). Their motion is fitted to the original skirt (anim 449) and cloak (anim 468) frames from `anim.mul`, + mounted actions included. + +**Fitted to the frames.** The pose of each of the 210 frames is fitted to all 5 directions of the original at once +(1050 images), with no shape corrections. The right hand's rotation is also fitted to the original katana frames +(anim 627), so a weapon sits in the hand like in the game (the blade within 0.8 px on average). + +**Animations.** Each UO action is a Blender action `NN_name` (with a fake user). 1 UO frame = 3 scene frames (24 fps), +with smooth interpolation. Walk and run loop. Action properties: `uo_action` (number) and `uo_frames` (frame count). + +| # | action | # | action | # | action | +|---|---|---|---|---|---| +| 0 | walk_unarmed | 12 | attack_2h_bash | 24 | mounted_run | +| 1 | walk_armed | 13 | attack_2h_slash | 25 | mounted_stand | +| 2 | run_unarmed | 14 | attack_2h_pierce | 26 | mounted_attack_1h | +| 3 | run_armed | 15 | combat_advance | 27 | mounted_attack_bow | +| 4 | stand | 16 | spell_directed | 28 | mounted_attack_crossbow | +| 5 | fidget_1 | 17 | spell_area | 29 | mounted_attack_2h | +| 6 | fidget_2 | 18 | attack_bow | 30 | block | +| 7 | combat_idle_1h | 19 | attack_crossbow | 31 | punch | +| 8 | combat_idle_2h | 20 | get_hit | 32 | bow | +| 9 | attack_1h_slash | 21 | die_forward | 33 | salute | +| 10 | attack_1h_pierce | 22 | die_backward | 34 | eat | +| 11 | attack_1h_bash | 23 | mounted_walk | | | + +Left and right match the original (limbs were never swapped). In the mounted actions the rider sits in the air, +because in UO the horse is a separate animation. + +**The `UO_Camera`** sees exactly like the game camera. +- Orthographic, elevation 28.45°, 36 px/m, 136×120 image, anchor on the centre of pixel (68, 86). This is how the original body frames + are stored. `render_uo_layer.py` renders on a bigger canvas (`CANVAS`, default 256×256 with anchor (128, 192), still 36 px/m), + because 136×120 cuts off two-handed weapons, spears and tall headgear (chapter 4). +- The anchor is 7 cm above the floor (`uo_anchor_height`); all frames agree on this. +- The UO direction is the property `uo_direction` (0–4) on `UO_Rig`: 0 faces the camera, 2 is a profile facing left, + 4 faces away. Directions 5–7 are mirrors of 3–1, made by the client. + +**Material and UO lighting.** The UO light (one light at the camera, almost frontal) was estimated from the frames and +separated from the body colour. +- `uo_look = 1` (default): the "UO look", albedo × (0.08 ambient + 0.92 UO light). Renders look like the game frames. +- `uo_look = 0`: plain PBR (Principled BSDF) for editing and game engines. The `.glb`/`.fbx` use this. +- The node group **`UO_Look`** gives items the same lighting. The "Skin hue" node optionally tints the skin. +- **Exact modes** (need the original frames in the file and the Cycles engine): + - `EXACT_COLORS`: the body is painted with the original UO frame projected from the camera, so it has exactly the + original colours. + - `EXACT_BODY`: the body layer is identical to the original, and in a clothing layer the body hides the item exactly + along the original outline. + +**Horse (actions 23–29).** The `Horse_Proxy` collection holds an approximate horse volume (body 0xC8) for every mounted +frame. The volume decides **what** is behind the horse; **where** the horse is comes from the exact outline of its +frames (text `uo_horse_masks.json`). The horse therefore hides the rider and items to the pixel. + +**Scripts inside the `.blend`** (Text Editor; pick them from the text list in the editor header): + +| Text | Purpose | +|---|---| +| `render_uo_layer.py` | Renders a layer to frames and `.vd` (run with Alt+P). | +| `light_raster.py`, `light_data.py`, `light_fit.py`, `light_items.py` | Light and shadow analysis of the UO sprites (per-pixel geometry of the 3D body, rays to the light, fits, statistics of all wearable animations). Results: `docs/qa/light_shadow.md` (Polish). | +| `uo_materials.py` | Puts the materials of a foreign model (PBR, textures) into the UO look: wires the colour (texture, colour, colour attribute) into the `UO_Look` node, keeps transparency (alpha >= 0.5 = pixel in the sprite), drops PBR parameters (roughness, normal maps, environment reflections), but **metal gets a UO-style highlight** (measured on the plate and helm sprites: `SPEC_STRENGTH` 1.0 × albedo, `SPEC_POWER` 16; plate 2.0/19, mail 0.7/11, see `docs/qa/light_shadow.md`); `SATURATION = 0` gives a grey item for in-game dyeing. Run it after `uo_import_item.py`. | +| `uo_import_item.py` | Brings a foreign (e.g. free) model (`.glb` `.fbx` `.obj` `.dae`…) onto the body: bakes the mesh without the file's skeleton and weights, scales it and puts it at the height of the original UO item of that kind (`KIND`), in `Clothing` (before `uo_fit_item.py`, section 3). | +| `uo_fit_item.py` | Turns the selected item's sleeves onto the arms and pushes it out of the skin (before `uo_bind_item.py`, section 3). | +| `uo_bind_item.py` | Binds the selected item to the body in one run: parent, Armature and weights (section 3). | +| `uo_cloth_bake.py` | Cloth simulation for robes, dresses, skirts and cloaks, after `uo_bind_item.py` (section 3). | +| `uo_shield_keys.py` | Replaces the motion of the shield bone `shield.L` in an older file with the latest one (the shield and its binding stay). | +| `uo_weapon_bones.py` | Adds the weapon bones (left hand: `polearm.L`, `axe2h.L`, `bow.L`; right hand: `weapon1h.R`) and keys their motion from `weapon_motion.json` (already run in the file; to load the motion again). | +| `uo_place_weapon.py` | Puts the selected weapon (shaft along +Z, tip up) on the grip line of its class, before `uo_bind_item.py`. Model the head (blade, axe) as a flat plate in the XZ plane, wide side on +X; the script turns the weapon about its shaft like the original weapon `REF_ANIM` (e.g. 624 halberd, 613 executioner's axe, 623 cutlass) and the bone then turns it by the measured roll (`weapon_motion.json`, field `roll`). Bows: roll undetermined. | +| `weapon_roll_fit.py`, `weapon_roll_lib.py`, `weapon_roll_apply.py`, `weapon_classify.py`, `test_weapon_roll.py` | Measure the roll (turn about the weapon's own axis) of all original weapons of `anim`..`anim5`, classify weapons to bones, write into `weapon_motion.json`, render test of a plate against the sprite. Results: `docs/qa/weapon_roll.md`. | +| `weapon_motion.json` | Data: grip (point, direction, butt position) and motion of the 4 weapon classes (3 in the left hand, 1H in the right), 210 poses each. | +| `uo_place_shield.py` | Puts the selected shield on the left forearm as UO holds it and slides it onto the arm (before `uo_bind_item.py`, section 3). | +| `uo_vd_writer.py` | `.vd` writer used by the renderer (don't run it directly). | +| `uo_job.py` | Runs long scripts (render, cloth bake) step by step from a modal operator, so Blender's window does not freeze (progress in the status bar, ESC cancels). Used by `render_uo_layer.py` and `uo_cloth_bake.py` (don't run it directly). | +| `uo_horse_masks.json`, `uo_original_frames.json` | Data: horse outlines and original frames. | + +The scripts live in the `.blend` file, not in objects. Always work in `UO_Body_0x190.blend` (File → Open) and bring your +items into it, not the other way round. + +## 3. Modelling an item + +1. **Open `UO_Body_0x190.blend`** and allow scripts: Preferences → Save & Load → *Auto Run Python Scripts*, or + "Allow Execution" in the yellow bar. +2. **Rest pose:** select `UO_Rig` → Object Data Properties (stick-figure icon) → Pose → *Rest Position*. Model on the + body in the A-pose, then switch back to *Pose Position*. +3. **Add the item:** model it or import it (File → Import / Append) and put it into the **`Clothing`** collection. + **A model from outside (e.g. a free one):** in the text **`uo_import_item.py`** set `FILE` (path to a `.glb`, `.fbx`, `.obj`, + `.dae`…) and `KIND` (`shirt`, `plate`, `arms`, `pants`, `legs`, `boots`, `gloves`, `helm`, `skirt`, `cloak`) and run it + (Alt+P). It bakes the mesh (without the file's skeleton and weights), throws away everything but the mesh, scales and + places the item so that its height matches the original UO item of that kind on the body (ranges from the original + sprites), and prints the `PART` for `uo_bind_item.py`. The meshes in the file are listed: leave out eyes, the model's body + and helper shapes with `SKIP`. If the item faces backwards set `TURN = 180`. Then **`uo_materials.py`** (the foreign materials into the UO look; without it the model's shiny metal renders about 55/255 off the UO light; metal gets a UO-style highlight), `uo_fit_item.py` and `uo_bind_item.py` + (below). Check the model's licence. Tests: `pipeline/test_import_item.py` (foreign file), `pipeline/test_materials.py` (materials). + Everything in this collection goes into the rendered layer. Delete `Example_Shirt` or disable it in renders. +4. **Clothing, armour, helmet, boots, gloves** (things that bend): the script **`uo_bind_item.py`**. + 1. Make every piece that is a separate item in the game (breastplate, pauldrons, gloves, boots, helmet) a separate + object. A 136×120 px frame shows little detail, so up to about 20k vertices is plenty (reduce a dense mesh + with a *Decimate* modifier). + 2. **Fit to the body** (optional, in Rest Position): select the item and run **`uo_fit_item.py`**. First the + sleeves (`MATCH_ARMS`): if the item was made for arms held differently (lower, more forward, bent at the + elbow), the script finds that pose and turns the sleeves onto the body's arms. Items without sleeves are left + alone. Then parts closer to the skin than `MIN_GAP` (15 mm) or inside the body are pushed out. A push moves the + whole area around it the same way and fades out smoothly over max(`RADIUS` = 4 cm, `SPREAD` × the push), so a + sleeve widens or moves as a whole instead of getting bumps, and folds, rivets and reliefs go with it. Subdivide + big faces first (Edit Mode, A, right click → Subdivide, Number of Cuts 2), as they can cut through the body + between their corners. Running it again changes nothing. `MAX_GAP > 0` also pulls standing-off parts in + (changes the look, off by default). Place and size the item yourself. + 3. Select the item, open the text **`uo_bind_item.py`**, set `PART` (the kind of item) and run it (Alt+P). + Every item vertex follows the skin **right under it** (along its normal, `MAP = "under"`), and the weights + are smoothed over the item (`SMOOTH = 4`). + + | `PART` | Item | What it follows | + |---|---|---| + | `"chest"` | breastplate, vest, tunic | skin under it; pauldron on the shoulder 80% on the collarbone, sleeve further down the arm follows the arm (smooth transition), bottom 70% on the pelvis | + | `"torso"` | something on the torso only | pelvis, spine, chest, neck | + | `"shoulders"` | pauldrons | chest, upper_arm | + | `"arms"` | sleeves, arm armour | upper_arm, forearm | + | `"gloves"` | gloves, gauntlets, bracers | forearm, hand | + | `"legs"` | trousers, leg armour up to the waist | pelvis, thigh, shin | + | `"boots"` | boots, greaves | shin, foot | + | `"helm"` | helmet, hood, mask | head | + | `"neck"` | gorget, collar | neck, chest, head | + | `"all"` | full suit in one object | skin under it, every bone | + | `"robe"` | robe, dress | top like the skin, from the waist down the skirt chains (35 cm smooth transition); sleeves always follow the arms | + | `"skirt"` | skirt, kilt | the `skirt_*` chains (template `UO_Template_Skirt`) | + | `"cloak"` | cloak, cape | the `cloak_*` chains + a yoke over the shoulders (template `UO_Template_Cloak`) | + | `"hair"`, `"beard"`, `"hat"` | hair, beard, cap | rigid on `head` (UO hair and beards are rigid) | + | `"weapon1h"` | sword, mace, hammer, 1H axe, kryss, pickaxe | bone `weapon1h.R` on the right hand, motion fitted to 13 original weapons (0.7-1.3 px instead of 1.4-2.1 px); run `uo_place_weapon.py` with `PART = "weapon1h"` first | + | `"weapon"` / `"weapon.L"` | uncalibrated weapon | rigid on `hand.R` / `hand.L` | + | `"polearm"` (`"staff"`, `"weapon2h"`) | staff, spear, javelin, pitchfork, halberd, bardiche, crook | bone `polearm.L` on the left hand, motion fitted to the original weapons (0.6-1.1 px instead of 5-6 px); run `uo_place_weapon.py` first | + | `"axe2h"` | two-handed axe, hatchet / hammer in the left hand | bone `axe2h.L` (same, 1.2-1.7 px error) | + | `"shield"` | shield | rigid on `shield.L` (shield bone on the forearm, moves like the UO shield) | + | `"bow"` / `"crossbow"` | bow / crossbow | bone `bow.L` on the left hand (1.6-2.1 px error instead of 3 px) | + | `"quiver"` | quiver | rigid on `chest` | + + Gloves (`"gloves"`) also follow the fingers, sleeves (`"arms"`) the twist bones, boots (`"boots"`) the toes. + The cloth templates (collection *Templates*, hidden in renders) can be copied as a base for your own cloak or + skirt: reshape them in Rest Position, then run `uo_bind_item.py` with `PART = "cloak"` / `"skirt"`. + + For `"chest"` the shoulder is set in that type's line: `"upper_arm": (0.2, 0.15, 0.45)` = 20% on the arm at the + joint, 100% from 45% of the arm's length (the sleeve), smooth in between. `"thigh": (0.3, 0.1, 0.4)` likewise for the thighs. + + 4. The script parents the item to `UO_Rig`, adds the *Armature* modifier and sets the weights, so the item moves + with the skin under it. Run it again after every change to the item's shape (old weights are replaced). + 5. Manual way (your own weights): Ctrl+P → *Armature Deform → With Empty Groups*, paint the weights or copy them with + a *Data Transfer* modifier (Vertex Groups, *Nearest Face Interpolated*) and delete the groups of bones the item + does not cover. + 6. Skin poking a few mm through the item (in the 3D view) does not cut holes in the frames: when rendering, the body + hides the item only where it is more than `HOLDOUT_MARGIN` (1 cm, section 4) in front of it. + 7. **Cloth** (optional: robe, dress, skirt, cloak). Select the bound item, save the file and run + **`uo_cloth_bake.py`**. The lower part of the item (what `uo_bind_item.py` put on the cloth chains) becomes + Blender cloth: it falls, swings and collides with the body. Shoulders, chest and sleeves stay pinned to the + skeleton. + - `GOAL` (0.5): how strongly the cloth is pulled towards the shape of the chains fitted to the original UO + frames (0 = pure cloth, 1 = no cloth). `MATERIAL`: `silk`, `cotton`, `wool` or `leather`. + - Every action is simulated on its own. The cloth first settles for `PREROLL` frames in the first pose. + Actions the game loops (walk, run, stand) run `LOOP_CYCLES` times and the last cycle is kept, so the loop + has no jump. In the mounted actions the horse of each frame (collection `Horse_Proxy`) is an obstacle too. + - `CHAIN_SWING` (0.5): how much of the UO chains' swing the cloth follows; lower = calmer in fast actions + (war walk, run). + - After the simulation every frame is checked against the real body: parts inside the skin or closer + than `FIX_GAP` (4 mm) are pushed out smoothly, so the skin never shows through the cloth. + - The result goes to `uo_cloth/.npz` next to the `.blend`. `render_uo_layer.py` uses it automatically, + and after the bake playing an action in the 3D viewport shows the cloth too (after reopening the file run + the script with `BAKE = False` to get that preview back). + - Layers of the item (a coat over a tunic) collide with each other (`SELF_COLLISION`), so the inner one never + shows through the outer one. + - All actions take 30-60 minutes (less: lower `SIM_VERTS`, `QUALITY` or only some `ACTIONS`). Run it + again after changing the item (shape, fit, weights); an outdated bake is skipped. `REMOVE = True` goes back + to the plain bound item. +5. **Weapon, shield, hair** (rigid things): `uo_bind_item.py` with `PART = "weapon"`, `"shield"`, `"hair"` etc. (table + above). Place a sword in Rest Position with the grip inside the clenched right hand and the blade on the thumb side: + that is how weapons sit on the original UO frames. Stand a shield upright with its face towards the front view + (Numpad 1), select it and run **`uo_place_shield.py`**: it goes onto the outside of the left forearm (like the UO + heater shield) and slides onto the arm, `GAP` = 1 cm; then `PART = "shield"`. Render a shield with + `BODY_GAP = 0` so it does not bend. +6. **Material:** Add → Group → **`UO_Look`**, and plug your colour or texture into its *Albedo* input. Make anything that + should take a hue in-game in greyscale. +7. **Check the motion:** Dope Sheet → Action Editor → pick the `NN_name` actions and play (Space). Game-camera view: + Numpad 0; change the direction with `uo_direction`. +8. **Tips:** + - Make clothing about 1–2 cm above the skin. + - Check attacks, spells and deaths in particular. + - Bind skirts, robes and cloaks with the `"skirt"`, `"robe"`, `"cloak"` presets (they follow the cloth chains); + `uo_cloth_bake.py` then gives the cloth natural motion (step 4.7). + +## 4. Rendering frames and the `.vd` file + +1. Render engine: **Cycles** (the script sets it itself, with 1 sample per pixel). +2. Open the text **`render_uo_layer.py`** and set the options at the top: + ```python + LAYER = "clothing" # "clothing" = item layer, "body" = body, "all" = preview of both + CANVAS = (256, 256) # render size in px (width, height); the .vd crops every frame to its content anyway + ANCHOR = (128, 192) # anchor pixel inside the canvas. 256x256 / (128, 192) holds 444 of the 449 people and equipment + # animations of the Nelderim client (outside: a lantern, a parrot epaulet). Old size: (136, 120), (68, 86) + ONLY = ["04_stand"] # test one action; [] = all 35 actions + OUTLINE = 0.38 # dark 1-px outline like UO art (1.0 = none) + OUT_DIR = "//uo_render/" # folder next to the .blend + WRITE_VD = True + VD_FILE = "//uo_render/%s.vd" + HORSE_HOLDOUT = True # mounted actions: the horse hides the item + EXACT_BODY = True # cut along the original body outline + EXACT_COLORS = True # body colours from the original (LAYER = "body" / "all") + HOLDOUT_MARGIN = 0.01 # the body hides the item where it is > 1 cm in front of it (shallow skin pokes cut + # no holes); 0 = plain Cycles holdout + OCCLUDERS = [...] # body parts that may hide the item: arms, hands, head, legs; never the torso + # (items are worn over it) + OWN_PARTS_NEVER_HIDE = True # body parts the item is skinned to (trousers: thighs, shins) never hide it: the item wraps + # them, and their skin in front of the shell cut 1-px strips off the sides + TORSO_HIDE_MARGIN = 0.12 # only when a cloak is worn: the torso hides the item where it is > 12 cm behind it + # (a cloak hangs behind the back; from the front only its sides show) + DESPECKLE = 28 # single dark dots inside the item (deep details, rivets) take the colour around + # them (0 = off) + FILL_HOLES = 4 # holes up to 4 px fully surrounded by the item are filled (0 = off) + BODY_GAP = 0.006 # every frame, parts of the items closer than 6 mm to the arms, hands, legs or head are + # pushed out - an arm poking through a sleeve in motion cuts no hole (0 = off) + MIN_PIECE = 8 # detached bits of the item under 8 px (a collar / cuff rim cut off by the head or a + # hand) are removed; the biggest piece always stays (0 = off) + ``` +3. Run **Run Script** (Alt+P). A full layer is 1050 frames, about 15–30 minutes on a CPU. A clothing layer is rendered + without the body, and the script works out from depth what the body hides (with `HOLDOUT_MARGIN = 0` every frame + is rendered twice: with and without the body). +4. Output in `uo_render/`: + - `clothing/frames/NN_action/dirK/NN.png`: frames on a `CANVAS` canvas (256×256 by default), + - `clothing/meta.json`: frame order and anchor, + - **`clothing.vd`**: the finished file. + +**Rendering in parts.** Runs into the same `OUT_DIR` add up. For example, set the weapon up for attacks and render +`ONLY = ["09_attack_1h_slash", ...]`, then change the placement and render the other actions. Every run writes a `.vd` +with all actions rendered so far. Delete the `uo_render/` folder to start from scratch. + +**Cancelling a render:** press **ESC** in Blender's window (progress is in the status bar at the bottom; the window does not freeze, +but other input is blocked while it renders). In background mode (`blender -b`, the `bpy` module) create an empty file named `STOP` +in the output folder (e.g. `uo_render/clothing/STOP`) or press Ctrl+C. Finished PNG frames are kept. + +**Several items:** render each one separately. Keep one item in `Clothing` and change `VD_FILE`, e.g. +`"//uo_render/helm.vd"`. + +## 5. Cutting + +- **Hidden by the body:** a clothing layer contains only what the body does not hide, as in UO. With `EXACT_BODY = True` + the cut follows the outline of the original body exactly. The 3D model only decides what is in front of or behind the + body, so the item fits the original body to the pixel. +- **Horse:** in the mounted actions the horse hides the item, exactly along the outline from its frames. +- **UO look:** black under edges, 0/1 transparency (UO has no semi-transparency) and a dark 1-px outline (`OUTLINE`). +- **Cropping:** the `.vd` stores every frame cropped to its content, together with the anchor. The PNGs keep the full + canvas on purpose so frames line up. `vdtool extract --raw` gives cropped PNGs. +- **`LAYER = "body"`:** with `EXACT_BODY = True` the body is identical to the original; with `False` it is the pure + 3D model (~98% agreement). + +## 6. The `vdtool` tool + +`vdtool/vdtool.py` (Python 3.8+, `pip install pillow numpy`) unpacks a `.vd` into PNGs and packs them back in the same +order (action → direction → frame). Unpacking and repacking without changes gives a byte-identical file. Its messages +are in Polish. + +```bash +python vdtool.py info file.vd # type, actions, frame counts +python vdtool.py extract file.vd work # -> work/meta.json + work/frames/NN_action/dirK/NN.png +python vdtool.py extract file.vd work --raw # frames cropped to their content +python vdtool.py pack work new.vd # PNG + meta.json -> .vd +python vdtool.py verify file.vd new.vd # what changed +python mul2vd.py anim.idx anim.mul out 701 468 # animations from the client files (e.g. hair 701, cloak 468) -> .vd +``` + +- **Canvas mode (default):** all frames have the same size and share the anchor (`meta.json → anchor`). When packing, + each frame is cropped and its centre computed. Best for editing and drawing. +- **`--raw`:** original cropped sizes. Don't change sizes or frame counts; only for retouching pixels. + +**Editing rules:** +1. Don't move the drawing relative to the canvas: 1 px on the canvas is 1 px in the game. +2. Transparency is 0/1: alpha ≥ 128 is visible, below that it is transparent. +3. Every block (action + direction) has one palette of 256 15-bit colours. With more than 256 colours the tool reduces the + palette (median cut) and warns. Pure black becomes near-black, because `0x0000` means transparent. +4. Draw hue-able parts in grey (R = G = B). +5. You can add frames (next number) and remove them (from the end). All 5 directions of an action should have the same + number of frames. +6. Don't rename folders or edit `meta.json`. An empty frame is allowed. + +**`.vd` format** (little-endian): +``` +int16 magic = 6, int16 animType = 0 (high, 22 actions) | 1 (low, 13) | 2 (people, 35) +index: actions*5 entries {int32 lookup, int32 length, int32 extra} (-1 = empty); block = action*5 + direction +block: uint16 palette[256] (RGB555), int32 frameCount, int32 frameOffset[frameCount] (from the frameCount position) +frame: int16 centerX, centerY; uint16 width, height; runs {uint32 header, byte pixel[header & 0xFFF]}; 0x7FFF7FFF +header: bits 22..31 = (x - centerX) & 0x3FF, bits 12..21 = (y - centerY - height) & 0x3FF, bits 0..11 = run length +anchor inside the frame = (centerX, centerY + height) +``` + +## 7. Importing into the game + +UOFiddler → **Animations → Animation Edit** → pick the animation file and the body or item ID → **Import from VD** → +choose the `.vd` → Save. The `.vd` must have the same type as the target (human bodies and their items are type 2, +people). Each item has its own animation ID. + +## 8. Accuracy + +- **Exact mode (`EXACT_BODY = True`):** the rendered body layer is identical to the original (all 1050 frames, checked + with `vdtool verify`). +- **Pure 3D model (`EXACT_BODY = False`):** mean silhouette IoU **0.879** over 1050 frames, **with no shape + corrections** (bones only). By direction: 0.876–0.893. Colours on overlapping pixels are exact with `EXACT_COLORS`. + +| # | action | IoU | # | action | IoU | # | action | IoU | +|---|---|---|---|---|---|---|---|---| +| 0 | walk_unarmed | 0.905 | 12 | attack_2h_bash | 0.882 | 24 | mounted_run | 0.858 | +| 1 | walk_armed | 0.901 | 13 | attack_2h_slash | 0.887 | 25 | mounted_stand | 0.853 | +| 2 | run_unarmed | 0.896 | 14 | attack_2h_pierce | 0.872 | 26 | mounted_attack_1h | 0.853 | +| 3 | run_armed | 0.896 | 15 | combat_advance | 0.881 | 27 | mounted_attack_bow | 0.865 | +| 4 | stand | 0.912 | 16 | spell_directed | 0.879 | 28 | mounted_attack_crossbow | 0.852 | +| 5 | fidget_1 | 0.909 | 17 | spell_area | 0.851 | 29 | mounted_attack_2h | 0.830 | +| 6 | fidget_2 | 0.896 | 18 | attack_bow | 0.868 | 30 | block | 0.884 | +| 7 | combat_idle_1h | 0.882 | 19 | attack_crossbow | 0.887 | 31 | punch | 0.884 | +| 8 | combat_idle_2h | 0.878 | 20 | get_hit | 0.896 | 32 | bow | 0.892 | +| 9 | attack_1h_slash | 0.860 | 21 | die_forward | 0.855 | 33 | salute | 0.902 | +| 10 | attack_1h_pierce | 0.879 | 22 | die_backward | 0.857 | 34 | eat | 0.893 | +| 11 | attack_1h_bash | 0.882 | 23 | mounted_walk | 0.859 | | | | + +The differences are almost only 1-pixel bands along the edges (the original was drawn from a different 3D model). +There are no large errors such as an arm in a different place than on the original, so the cut-outs in items hit the +arm. For comparison: the previous model scored 0.880 without its 1254 corrections and 0.979 with them (but items had +to copy those corrections). + +**UO items.** A test on real items from `anim.mul` (shirt, trousers, boots, gloves, helmet, plate armour): body-hugging +items rendered on this model reproduce the original frames (cut-outs for the arms included) as well as the previous +model with its corrections. **Cloth:** skirt IoU 0.83 (mounted 0.62), cloak 0.73 (mounted 0.67) against the original skirt and cloak frames. +**Weapons:** the blade in the hand is 0.8 px from the UO katana blade on average. + +## 9. How the model was built + +**The current body (MakeHuman).** +1. **Shape:** the MakeHuman mesh (CC0, male, muscle 0.6) moved onto the UO skeleton: every limb onto its bone (length and + girth), the torso with a height map (width and depth at 7 levels), neck and head separately, blended with the + MakeHuman weights. Girths fitted to the original frames with a penalty on unnatural shapes. +2. **Rig:** the 19 UO bones unchanged + arm twist, 15 finger bones per hand, toes; MakeHuman weights. +3. **Poses:** every frame fitted to all 5 directions at once (own fast rasteriser + LBS like Blender's), alternating with + the shape; limb girth (bone X/Z scale) and the clench of the hands are fitted per frame too. +4. **Hand and weapon:** the sword grip calibrated on the original katana frames (anim 627), then the hand's rotation in + every frame so that the blade covers the original. The shield: bone `shield.L` (child of `forearm.L`), + its turn and shift fitted in every frame to the original shield (anim 582) in all 5 directions at once (IoU with + the original 0.48 -> 0.76 on average); its face away from the body and its top up (two penalties in the fit), + and it may move off the forearm where the model's arm moves differently from the UO shield. +5. **Mounted:** the rider is seen only where it is in front of the horse and must not enter the horse volume. +6. **Cloth:** the skirt and cloak bone chains fitted frame by frame to the original skirt (449) and cloak (468) frames, + hidden by the body, without entering the legs or the horse. +7. **Texture:** colours from the original frames projected onto the MakeHuman UVs, the UO light removed (albedo), + separately for the 5 directions. + +**The first version of the model** (UO proportions and camera found from the frames; the current body builds on them): +1. **Decoding the `.vd`:** RGB555 palette, RLE frames, anchor point. +2. **The UO camera from the frames alone:** a joint fit of body proportions and camera to the silhouettes of all + 5 directions gave an orthographic projection, elevation 28.45°, 36 px/m, the anchor on the pixel centre and the + floor 7 cm below it. +3. **Shape:** a parametric body turned into a quad mesh. Vertices fitted to the silhouettes of all frames (symmetry, + smoothness), plus a 6.5 mm inflation that compensates the fitting bias. +4. **Rig:** bones at the fitted joints, bone-heat weights, clavicles. +5. **Poses (gradient-based, JAX):** every frame fitted on the skinned mesh (LBS like Blender's) in all 5 directions at + once. Loss terms: + - vertices inside the silhouette, + - every edge pixel reached, + - anatomical limits (swing and twist separately, hinge elbows and knees), + - temporal smoothness, + - a penalty for going below the floor. + Fitting starts from the frame closest to a known pose, so limbs are never swapped. +6. **Escaping local minima:** a multi-start search (torso twist and lean, variants of arms, legs and body orientation). + Candidates are always chosen by the true IoU of the rasterised mesh, then A→B→A jitter is smoothed out. +7. **Horse:** a visual hull from the 5 views of the horse frames, without the rider's volume, clipped by the exact + horse outline. +8. **Per-frame corrections:** vertex offsets fitted with the renderer's own rule (a pixel counts when its centre is + inside a triangle). Then every wrong pixel was attached to the triangle responsible, and a per-direction correction + was added. Everything is stored as driven shape keys. +9. **Texture and UO look:** the UO light was estimated from the frames and divided out of the colour, giving the albedo. + The UO post-process (black under edges, 0/1 alpha, 0.38 outline) was measured on the original. +10. **Exact modes:** the original frames are packed as an atlas; the material projects them from the UO camera, and the + render script uses their outline for the body and for hiding clothing. +11. **Verification:** the Blender rig reproduces the fitted mesh to < 0.1 mm, and the rasteriser agrees with Cycles to + within 1 pixel. + +## 10. Rebuilding the model (pipeline) + +**The current body** (folder `pipeline/body13/`, run from that folder; requirements: `numpy scipy numba pillow "bpy==4.2.*"`). +The saved results (`*.json`, `*.npz`) let you repeat any step. The MakeHuman data (CC0) is in `mh/`, the UO item frames +from `anim.mul` (skirt, cloak, katana, shield, shirt, trousers, boots, armour, helmet) in `mul/`. + +| Stage | Scripts | Result | +|---|---|---| +| Data from the first version | `prep_views.py`, `dump_poses.py`, `dump_horse.py`, `dump_v12.py` | `views_*.npz`, `rig_poses.npz`, `horse.npz` | +| Shape | `shape13.py`, `fit_shape2.py` | `shape_r2.json` | +| 55-bone rig | `skel13.py` | (in memory, `build_v13.py`) | +| Poses | `run_poses13.py`, `views_from_poses13.py`, `run_mounted13.py` (+ `horse_sdf.py`) | `poses13_*.json` | +| Weapon and hand | `weaponfit.py`, `handfit.py`, `shieldfit.py` | `grip_katana2.json`, `poses13_r5.json`, `shield_heater.json` | +| Cloth | `cloth13.py`, `clothfit.py`, `run_cloth.py`, `run_cloth_mounted.py` | `cloth_449all.json`, `cloth_468all.json` | +| Texture | `bake13.py` | albedo for 5 directions | +| Building the file | `build_v13.py`, then `../export.py` | `.blend`, `.glb`, `.fbx` | +| Measurements and previews | `eval13.py`, `itemval.py`, `gen_items.py`, `make_gif.py` | IoU, random outfits, GIFs | + +**The first version of the model** (scripts in `pipeline/`): + +The scripts are in `pipeline/` and run from that folder. Requirements: Python 3.11, +`pip install numpy pillow scipy scikit-image jax optax "bpy==4.2.*"`. The client files are already in `pipeline/`: the +body `body400.vd` and the horse (0xC8) `horse200.vd`. The `*.pkl` files are saved results, so steps can be resumed. + +| Stage | Scripts | Result | +|---|---|---| +| Proportions and camera | `run_shape.py` | `shape_fit.pkl` | +| Mesh, rig, scene | `build.py` (`basemesh.py`, `sdfmesh.py`, `rig.py`, `texbake.py`) | `.blend` | +| Shape from the frames | `refine_mesh.py`, `inflate_test.py` | `refine_mesh.pkl`, `refine_infl.pkl` | +| Lighting and texture | `delight_bake.py`, `perdir_bake.py` | albedo, `uo_light.pkl` | +| Poses on the mesh | `posefit_seq.py`, `posefit_search.py`, `posefit_polish.py`, `jitter_fix.py`, `reeval.py` | `final_poses_v10.pkl` | +| Horse | `horse_hull.py`, `add_horse_proxy.py` | horse volumes and outlines | +| Building a version | `patch_final.py` → `uo_layers_setup.py` → `add_horse_proxy.py` → `export.py` | `.blend`, `.glb`, `.fbx` | +| Shape corrections | `corr_fit.py` (stage 1), `corr_fit34.py` (pixels + directions), `add_exact.py` | shape keys in the `.blend` | +| Exact modes | `build_originals.py`, `add_exact.py`, `pack_originals.py`, `strip_originals.py` | final version | +| Measurements | `render_body_vd.py --pure`, `compare2.py`, `err_parts.py`, `gross.py`, `zoom.py` | IoU, GIFs | + +Key settings: `UO_DELTA=refine_mesh.pkl` when fitting poses and `refine_infl.pkl` when evaluating and building; +`UO_CLAV=1` enables the clavicles. + +## 11. Limitations and common problems + +**Limitations** +- Muscle drawing is softer than on the sprites, because the texture averages many frames. +- Fingers and the face come from MakeHuman (they cannot be seen on ~60 px frames). +- The pure 3D model differs from the original mostly by 1-pixel bands along the edges (about 12% of the silhouette + pixels). The exact modes (`EXACT_BODY`) remove this from renders: the body is always the original, the model only + decides what is in front of it and what is behind. +- On horseback the lower part of a skirt or cloak may go into the horse: the horse hides it when rendering (like in UO). +- The horse is an approximate occluder, not a model for editing. + +**Common problems** + +| Problem | Fix | +|---|---| +| The Text Editor is empty | Pick a text from the list in the editor header. If the list is empty, open `UO_Body_0x190.blend` with File → Open (don't import the `.glb`/`.fbx` and don't append the body into another scene). | +| The body renders black or wrong | Enable *Auto Run Python Scripts* and reopen the file. Use Cycles. Check `LAYER`. | +| Exact modes change nothing | The file has no original frames: use the `.blend` from this repository or `pack_originals.py`. | +| The item cuts into the body | Run `uo_bind_item.py` with the right `PART`, and make the item slightly larger. | +| The item stretches after an arm or leg | It has weights of bones it does not cover. Run `uo_bind_item.py` with the right `PART`. | +| Blender freezes while the script runs | The item has too many vertices. Reduce it (*Decimate*). | +| The item stays in place | The *Armature* modifier or the weights are missing (section 3). | +| The character "jumps" in `vdtool` | The drawing moved relative to the anchor. | +| Jagged edges after import | Semi-transparent pixels: set alpha to 0 or 255. | +| UOFiddler rejects the file | Different animation type than the target (human bodies: type 2). | +| Rendering takes long | Test with `ONLY = ["04_stand"]`, and do the full render at the end. | + +## 12. Notes for AI assistants + +``` +PURPOSE : 3D model of UO body 0x190 (male, naked) rebuilt from anim1_0x0190.vd; used to author clothing layers (.vd). +VD FORMAT : see section 6. Colour 0x0000 = transparent (remap real black to 1). +SPACE : metres, Z up, character faces -Y, floor z = 0, UO anchor point = world (0, 0, 0.07). +CAMERA : "UO_Camera", orthographic, elevation 28.45 deg, 36 px/m, 136x120 px, anchor on pixel (68, 86), +0.5 px in x. +DIRECTIONS : UO_Rig["uo_direction"] = d (0..4) rotates the rig by -45 deg * d; 0 = facing camera, 2 = profile facing + left, 4 = facing away; 5..7 are mirrors of 3..1 made by the client. +RIG : 55 bones: pelvis (root) spine chest neck head; clavicle/upper_arm/forearm/hand .L/.R; thigh/shin/foot .L/.R; + upper_arm_twist/forearm_twist .L/.R; finger1-1..finger5-3 .L/.R (finger1 = thumb, local X = curl axis, + Z to the palm); toe.L/R. Cloth chains skirt_K_S (8x3, parent pelvis), cloak_K_S (7x4, parent chest). + Quaternion rotations, MakeHuman weights. Per-frame girth = pose-bone scale (x, 1, z) on upper_arm, + forearm, hand, thigh, shin, foot, head; forearm/hand/shin/foot have Inherit Scale = None. +ACTIONS : 35 Blender actions "NN_name", props uo_action (0..34) and uo_frames; UO frame i -> scene frame 1 + 3*i. + Every action keys UO_Rig["uo_action_id"]. +BODY : UO_Body = MakeHuman mesh (13380 verts, UVs), no shape keys. Items: text "uo_bind_item.py" (PART preset -> + allowed bones): nearest skin point restricted to body triangles whose dominant bone is allowed; MAP "under": + skin hit along the item vertex normal (else nearest); weights = body weights there (allowed bones only, + renormalised); SMOOTH passes of neighbour averaging over the item. Finger/twist/toe groups count as hand/ + arm/foot. RIGID presets (hair, beard, hat, weapon, shield, bow, crossbow, quiver): 100 % on one bone. + CLOTH presets (skirt, cloak, robe): weights of the nearest point of UO_Template_Skirt / UO_Template_Cloak + (robe: blended with the skin weights over 0.15 m below the template top). +HOLDOUT : clothing layer = Cycles render without the body; own z-buffer raster of body and items; the body hides a + pixel where depth_body < depth_item - HOLDOUT_MARGIN (0.01 m), using only body triangles whose dominant bone is + in OCCLUDERS (no torso); transparent patches <= FILL_HOLES px fully + surrounded by the item are filled (from the render without the body, else the neighbours' colour); + 8-connected pieces < MIN_PIECE px other than the biggest are cleared after the UO post-process. +BODY GAP : per UO frame (once for all 5 directions) the posed bound items (welded nodes) are pushed BODY_GAP out of + the posed OCCLUDERS triangles (BVH nearest, 12 rounds, displacement smoothed over the item edges) and shown + through shape key 'uo_fix' with the Armature modifier off; removed again after the run (also on STOP). +BIND FOLD : uo_bind_item PARTS[...][1] = share of a limb bone's weight kept; the rest moves to the parent bone + (hand>forearm>upper_arm>clavicle, foot>shin>thigh>pelvis, head>neck); a tuple (share, t0, t1) ramps the share along the bone; "chest" = + upper_arm (0.2, 0.15, 0.45), thigh (0.3, 0.1, 0.4). +MOUNTED : horse = body 0xC8; rider->horse action pairing 23->0, 24->1, 25..29->2. Objects Horse_a{action}_f{frame} + (holdout proxies, parented to UO_Rig) + text "uo_horse_masks.json" (key "action,frame,dir" -> + base64(zlib(packbits(120x136 bool)))). Hiding happens only inside the horse silhouette. +EXACT : image "UO_Original_Atlas" (1050 original frames, 35 cols x 30 rows of 136x120) + text + "uo_original_frames.json" (tiles; base64(zlib(RGBA)) per "action,frame,dir"); scene props uo_tile_col, + uo_tile_row, uo_exact drive the projection. Present in this repository's .blend; strip_originals.py removes them. +MATERIAL : scene["uo_look"]: 1 = albedo * (0.08 + 0.92 * max(0, N.L)), light fixed to the camera; 0 = plain PBR. +RENDERING : text "render_uo_layer.py": LAYER ("clothing" | "body" | "all"), ONLY, OUTLINE = 0.38, WRITE_VD, OUT_DIR, + VD_FILE, HORSE_HOLDOUT, EXACT_BODY, EXACT_COLORS. Cycles, 1 sample, box filter 0.01. Post-process: + premultiply over black, alpha threshold 0.5 -> 0/1, 1-px boundary outline * 0.38. Runs into the same + OUT_DIR accumulate; a file named STOP in the output folder cancels. + Output: frames/NN_action/dirK/NN.png + meta.json (vdtool layout) + .vd (anim_type 2, anchor 68,86). +QUALITY : exact mode: identical to the original body; pure model (bones only): mean silhouette IoU 0.879. +RULES : never swap left/right limbs relative to the original frames; new layers must keep the same 35 actions, + 5 directions and frame counts as the body; do not redistribute UO client files or this repository's .blend. +REBUILD : Tools/UOModel3D/pipeline (section 10); the client .vd must be copied in as body400.vd, the horse as + horse200.vd. +``` diff --git a/third_party/UO_Model3D_v13/model/UO_Body_0x190.blend b/third_party/UO_Model3D_v13/model/UO_Body_0x190.blend new file mode 100644 index 0000000..ed8579d --- /dev/null +++ b/third_party/UO_Model3D_v13/model/UO_Body_0x190.blend @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ff8c601431157943d735b358c9a1fbcb42c713c5b618c8cb01f7ff46a8a63f4 +size 11900963 diff --git a/third_party/UO_Model3D_v13/model/UO_Body_0x190.fbx b/third_party/UO_Model3D_v13/model/UO_Body_0x190.fbx new file mode 100644 index 0000000..0aca08d --- /dev/null +++ b/third_party/UO_Model3D_v13/model/UO_Body_0x190.fbx @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ae555aba7ce45cb52c6e37e602998a4a82ca496e224464dbfc7b348233dc9af +size 21020956 diff --git a/third_party/UO_Model3D_v13/model/UO_Body_0x190.glb b/third_party/UO_Model3D_v13/model/UO_Body_0x190.glb new file mode 100644 index 0000000..422062f --- /dev/null +++ b/third_party/UO_Model3D_v13/model/UO_Body_0x190.glb @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:802ab9f1fefbdfba135b8d69f6c756a632d4e87f25b5a8462f9274c56a6189d2 +size 6387344 diff --git a/third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir0.png b/third_party/UO_Model3D_v13/model/UO_Body_Albedo_dir0.png new file mode 100644 index 0000000000000000000000000000000000000000..0afddcb26f7d462be1f3c926f96aee16f004cf05 GIT binary patch literal 438095 zcmdpd^;?u}wDr*464KouB{6h|bcb|GH%NC$mvncCbV+xElyrADlIKz1b6w~A7ryxc zn1^{{?t91DYp)%yC@+bEh>r*Yfl#ES#FRlGXy8w15IiLC>)iLp3IxX!`{rzmc z4$AAM{u5I9^{oX5e%lGP7lk(SSG!h(wXl~5{nsPAx|h3E&$FnxS4rP%N#GrqT(v(NQKbM~lghN|(#iCd9 zu$uXC0;^i4TB=+qlSHpprh3qtPY?P(2d+_-ut9(R@!uyrLQ4=qe?R%}K%1y4jNiXg z{~lN+D}xmJ?^=HjoS~~h9 zPGzis&3NPXmaI)#sLsA7wG$U6mQ8B@wS#|8ZYLH)%HN0u~VPsk}_%dRE*2 z@~+*z@^bC<D1Drpy^N-R8iXpT=9H znCJTC-6nrG+r#^>->gBFk_bLOs>s;S+pjV@n&Do zpMK-NSM_kCHK{pfDZ<<`VWTS+8}1cc5&!4!&S7ORIX~TG=I7@F?{e3Ju6l-s!ck1; zGz1@&$q*M$Tm$cv%%wvwPhZ#J1o3{n-d`BI?VYZ)LYt2sq3QcRjr>}hwG{6y@>yDZ zmtpMpm_BCq9c3-3VTq~gJoylmn$N;Xb#~#v)l8H9`XEr1$KKI|Rc7`MLKip<9rk?MqwTb1d|~XqTmr2_W;Ad( z^l;kO#bxK))Z*ja*;Q$Ne*TH;mnyX=ye6ovRkKN8#^=g{8(O7ZJA!cl;KXSQMM-vi%y7RRYeNn-qE%gfGva_|djlr^4@YbOwok>vM z?DJ?_wQXD+NW>J-Sq?IB@&5Cw#C)tu&#m|qk$gr(ol)3fR$z6Q6%c`U5h!dW+M zp;)Ewx!1g;YqWps!nJkhx#&~>R<%m`S4~Uw?Jl*Rm7vfV>>R|!Wzn0jK{BvPnO27k z>i60O?mhN9nX!g z4W0OVZgk8R`cfP*oFOJQGKdJq=?YhD z?|MjHV)@q2?o#|?_lu_K_OP`J4?fPKy`VcVE7@m`nT62|g57WgNMGX~H(e4#BeY!Q-s$PH*`2AMjKL5Nexgz#sP3Br2O2o}WMvsKbl)#sAZKg5P3VQL23LV9n14rt8ek>%kFeK_7Oj zG&9b0h@(V$`(jI~Q4wD3*yhVxbj~Ro`?=QB5QQB^lxJgt8CohFh)Q9v3EjV2N&zz#l-> zT@&dqlwR+*5yRAw8{x?aNk}ModEabT-Sq2|7htz0ou&ffESl&rmr8I zB!50s*-MXq&C<7X|gjf3PA6zEfAsZ%z%xVV~L`*8IO6355KHPr?$piD5j?NlcN zD)gLY{zilJ9Kee_9>tbHvDJE2=CyBC11C43;-HdqDZ6188;D{CXr-T~IL0jN)5gs1 z6H>i^z+k}<@CL(p*_!j3QveJmpEK0+N|asbSR+zI6l>RHtT=C!;BQ?)6`+h55`hi@Qi4}y=wp;o-D0*^{8Fwdr;Q?wdCtzd6memMJUD)WqY#1 zMovrBMN5NCoG4C3U?`dyh3a|=ncL~IFgM$3^lx^}4W>h1f;8=&t(nu>2H}iKHv8Y@ zE#HJ01$lV7%#$3WD|Q?aaP#rD9GgE@&0oXkwZWV!z*C1*ytEkE`~!%(e*mKXJ91|K z@|e`AgwWy#SFzvDg-`B%K#4;-xfp@0waq(nvk zV6V-e;)kPTyYp2abB8zV=@1)okCn2e4(hxp{43`eMF*X< z_Ai)WyUr$?C1#v2Hy$YUb*Wu7VigLgJ!Ei#@8v}GZ#C>d3RvuKt3-XoQu={i_Ycdv z)2&bAk)+8@hsD<~-$Ek&#!Ae*u}gN4=PbQ>bWRl?rQJVjR=e=d=K^WO;$o+aRLJA|X-fen4Z-F0B{ItWN z`msj1n=vc4#h*}!RJ*go`b;dn__64(y$3F6x^c7+e92h?#_^i4_Vu3=>sZx=7-nlP zix#2RMIFyp`Q0^mg?DhW@>#qRhL1%-51`?ro3z8*k&zJ~L7!XjA4e+tw-re_@s`?~ zdXGq?R$ot+e;uKEgeQ$YfUY*@z^{Jfv+Wkcu!XGWX&Rr~4!ghxi_YW@Qr25UIy5fj zvcNM5yZ3tuC_LLEaf#YigOFtcQ#|onM@BwmfI72DLHqODjxSA!bl|kNHI&t5nDzO; zo*(ZH)}aMRx7`G?DM$@F)~sZ*fpDWj*WUM8?JpRW`V$tDhYH!}rG%|tRfj{+)yuIz zQmm7qn2?CzMM(%Dhiy4m<>+)6@pcnI8s%8}acU!2!`lfP8Kyw^$~<$t3saq&G?XmN z_3InfTv8Bxu8TzB7Zj9qm4{11!@y!l%~5W@+uVeFn#VAlq|Xv@E&AHNpB}qqspSX0 z(U~OkcK3VlpqwPnc{tV8!UlihZ}s{q5(x%JQ9qe_^olG;@~&etKTa@#oB>C-31$7dW!9(IB9o>pZ88^i+l%fZJ7 zm76zv!arrr^Ne2zE{9|j(+@!ejAaryEXN2nQ=@V>!F%|q*UgJ1D^c6;+8W%h)s~9( zSw#`6swN`U`*y(`HC78%8%Wy$T%0$X++(0myJN>!6M~J5N;y>f6!`}ARHx%W^}L{3 z5@kr-+}=*@+nI2wb+Sd)_j_lDstP;sWnWUzXl(;c^bvOUP^f>Ko<}w{HuQrvCjmH; zCpDC*7>97o>=)ObpQ#}>8zv*HluhZ>Y9ftRy5(Gwc+kpm07D>B7)1J5h)bGghRE%d zxk2OBcP#AK7C3U|c8Xiw+6AKqXI)^SSlSyI7F8eey%LDbiyf}g_FEpt4i5H=J9D~5##QS^X++w!=5znP|%KUybq#rMj=pQ z#g-1c#tWu+CiZ@mt~23GSHf5NmR!vGonP21fx|t}w2pWHk!v{C26c>N++K>e^KNu# zr29d69!cX0z*d&=2K1(({P3X2RaZ6;31P<2ztWcAFCcm!5c4i}((|kh?mdk>W^kFn zb`bky?d7gDXMQ=Fw~L>;QmrVNAMbg8SForVDm%~2saM1s+E%zvvXho^0U;hoY;LiK z-t|cCh%906T=q%aPFLH$h%t~sXY_qRC76+?@Y#QDu$58 z&~Wo)PaL${X?=-VNU70L8qPA{Q|f9Pd8nSJ{8hgk7W;8gk=H=ut=Me^3g(nM->y=t zHE}I{VYgct@;n#0vfz$A(FuMPtLKUWt(TYA@ii3GcdW9XK#Ep>9ypiATgctMsjQnd$qGMv- zj-)>*QSE#=N4$*_MNWVeLmlaAm-3AHWh9HedneXE(Y4W2;3C|UY>vvVpG4UCG%v6T z84`RcP6(q{vR_iYE+brl61WL%{kyv%G6M_NAq8N*);gOdAQSW%VLa$9 z0!u?zI6bXmz}EQ&tYP8&ZZLN!c4fKrUV-Ob#BKohJ<&E4H~RsDG)}B|^>MMd?4itRTEh z6Q6e8`F`Tz9dib+oVWtch5RZcNeh}>qYnDMbix6}-vnnnvFG&E`^4jg9=Fd|wTNO$ zr#6RO_Cd|Zfe#v`i+L`K0M{1poZJf*MkCyX4d4@i!RU{|X`nXI`(5yJ1>&`o% ztEF^F>FVnnBN}qh+2wFT6Q7Sbnj`(=%?Vmh7c~xr)C4e*K z58|T-5Rgg=%(wGWbw7SgDZr!m_8~;qa2CjvCwkcHNL02*xx@6%_=O+F9=;UrS|yw!99)%+<@QB1bW`^UIi-sCn6mYwLpb`UPY?*TeX*LuFOY ztSNdksw+fLZcM6s3;T=n4`o50VfN_4^4Y_MTJyEX)w^H3!*+Q3yUW(wkvtxVeRx0$ z83$_3@o{+t1>?x08~lykZ*hmjqDE91Ow}ZgQ9*o(_1DE+GhE=NWU5f*V`zd8rJ^yp z@H{y?lT9UGG2X@h8n)M`5EX$>iJ&DkHu*V0+N|gRr?irouN*Bhm&}f`UtXa5kEgEs z0MO9~l^7W$AjUTmq9<@c9O+~0-R;_yz|G^xR~#*g*pbNA_t$`Y)`>5I80h6o>3L!~lgIvbktoqpX%4AStkLk`^4 zF%o#EHPt+X01Mbc1Y|gGrmDf)eJ6|cr=DK!WVDG0OagmX*M7FJ#J1+pMB6)SY9ao%n0C3QD<{FXeqfJbL)-`q?MMJ6WkMY^jk>Fr*LH$6LAzld+Rlv z^gl3^a*D8DJX~Fi+VGAA(l>(0JD&loyQ#f;GUKOrK^G`WL|;NQsGNno1^{=r#~Vd^ zg)?gQ9EEKGBBm#-af&l?NaC!tC*QQ5x#dOO&+M9@ z3719sIcSHEGRXC#ny@}L&}O)+hS9)2%K}H0J+Rk;t?e_0h~JT51)O#8vFEA&N$7y1m&%*xL81prj? zvrZ>N(|G<)>k4z>^;PyOUtyhIm5O>b6zV256<5|$AC3{eEH&0Rv^*ZEc**(aXf|}7 z_4kly_T9{=2n~@bQ}k?;qv#jM1=J5sK!uj=P;P=WZJH)UhiZOAk<5pP3^b zdza%=r1Yt3ubxVnWf~Clfd|nw=fFBjA4jcQsLQeWIpj zWEG^9jo~y0`Ya>KnGjXmT&Y+{EvI{)%CCE%|LN=fbTQziI|{Kwo$92>X5v3xgW(sL zRHIGA?*WwT)|{dP8!16D=T+JX_jaS^cEMib99aNe-i^kjEB5-ZDyl-YqlohSzR=mp zX)7;P&IAgzWL!;y{W~{ao^Z>PtMjD}$)^6tkDW260IO+s3y=|$Y)&pN*foOK)C56r zGM9W#LQb?O#Ht_v*&qVY;ryvX3K^GJ8vx2A#f{yJC;j#&+3ApdColXq?)_CMH3=K~ zgFLD`4sB2=0aJE-xq2AK8{LSl(8@DO;cNYFhrTNJ51%Kiq*ELtFMy5+SvI)hhhtb} zs^i7Q+96SXbH#kxrUCey1m_g2um&z13YN`V|uoE-g1Q!yPeUxaKLg z#ywRz&lf30G(Q5-m<%rHJL`9zNw*K?FhM9mtfbbUdBS(dIL5A-0c&H-PY7Qrla($; zhmh~3r;{w}wVP!^Vm0^WixeC#8SHdbJK;#Y&_(V6R;j31Ku5qT)r>18$pF2xlQkHZ ziLx+9`QM@u|5>ypGIGu%^IWo1guMG=!H_@ZWFakQz)W|G<(&)~gaNVSfjTaKDK&)p z5T)(JCaE}nColMQlW4zi;8rg(lBO}X(9OJ$p>(MA?VZRSz(f$^AaVEoc%kE6rpO66 zumTP4?_!96z%*sMxduO^iCzITEGgH~0IXZfr?lEyc5O<$+%L;d3R!#`3U732Z{(=4 zETR`2-xTEv(SYD^x#Bj=>$Uqb%=>qil*nY-j5>wDc_n@jeXl@?{vM&v9v`1Pg>GBu z$!~p1Dult}0sH8vx9D4DiFW23cN`1$$|wz%2t2?jx9J@j_AH$=*ys!*3zBtfQLE^p8p$+v$s@OSBGNl1hdQ7Vc*(CDy^!LqS(>sO zX5M1sGV=2B_N$QE?=$5$OwhiOzoG?N0HuFSD>*TY$IE&kn!xLmQvuDx=9hQyy$e3Q zpRZ05NfJLvXH=M#Nw;uU5)zUSm@!<#?;#&3ll^Zzo_Ra2c!A2~r_hxY9evPoIjnjoYDhu~S*B%j?!Ps>`Ll+r zkcAoVf_>?=1hj0EYukzu#s@d87N{u|E{w<<{79;Xo z#OtVJm%2cK$#3b>Z`tpS^Q)~&mth7lusBq~Ib}`#5eo9adpw^=Z zVR|IWjqBVOY9Si{DX!*-c1+i+s0zJp2$dEYizI%nLrc+GYM4HF^Ufy3@u@ZwH9wS) z_sER*cclNW0$nx=E+wfy4aw0F>GnEC+RCpGpdrvXn#J#F_Io5i2vuqFp@#WjD@M@g z>HcDNHtELHfXG?i0FkdSHSb^N8|x3j*eLXCJ#IQvM?g5mG*&pqDG4#By5YFju1_hy zDaQxk$JVL;$h^VF zo+^t6U12y(;&ZwaTW zC?n?<--|jWn#Y1H+$nK-+DS|{PasE2W8KP|#GA@K03fuiP~0EtFT_(Ueg&K*o>-0WzDaPxyqhxDUMz7d@e+_5#^l zaw;ybe^A)8D^UI(YL_1Ew`;#F``MUJ$NUUyZ=Q7&P}! zT`*xYGzh%aeyiL9ixMx7jE}>eh<@IQvcDDg13t;g9^(0PrKKl6it32%!btX@j_D6l zGV(W$Dfu{+RK{`z`bI|M{4`KGEXyV5#bzrG>?}7ZDnQZY;*10A6*}K_+XFnNGuw}) z2Y)V`rPXF9xPdl*3wEWAAjZl+x(T4Nbo~Px+EoI25U{HOPQ8?eNU=Y=@GL6u22_zS zM2Rz`9EO)u848=WpgoFg@jhHsoc7H(RIQ@KUyF(*+aEr6zNa(Q@WJ|S`V0@Z_oTvk zjQ;SB)m8@R{vGkiMX0O1eq`ZaBMpaBT56Drs3L;s%Bay~v{whQosw7cYeam1P9=7RU^K}j? z=vAH?ix{T!-rz@~9zR{-iEH^@6YD~ulL(Yj800mL;v99Vm=u-}oCD>Dg+ReVXP^-> zvX(R6mM90_IW}dj=dtJ%qO&V$O~ZmBl?%>5xCSIBKxUx}ruq(}?d$%^e%tAYGyi`h zy49j>W6+eV<}+HIr1i#&%Q*}>iTqx&E^fwZTo7B(I%_{bU-Nf+*gzKo zXoGS{f`W~dA5|r!F7L+9v4C+n6g?#&OMu>ss1UO0 zYiE6+S59Idx{jL{HiWHAc1`4NSS>sZv+^lfx0Zra|Rb7&O`znbVXe98#IScv_-Kz-x56!;G11z#_($YqsL zx9jz;K)|{~tnZbP{J?Z^Cl9~>71LF6f9RS_%-SrSkb%kCVWOS}ITv8$bt(U|uJa%*aM$}AVTDbJNA zK)nHd^c%3?0D9*y0GYE+XUI&2F0t(R0~Q7}HxbyTnBMZeID>VlCWO~S^37O7Q0K=S zdkOY(E5x#Z7!>o0ML62wGK$z}w(`T4(}xHAZtNOYaz>qrg`MkN#Z6%xc}G{ake?Bn zxL*%Sp3r|iCz@)&Y|ee<8vIFW)I9FW&MPSRx7pONsFa7qL%Tr9iQk;Qj!-mxfHPF^ zH+Hw-{DD($GC-eOT$)=^8VMayF;n^@WJQBs)#v4^ZVVU()V1YiCrN%$p-8np3IG)N zIfVX1(IR=an*V4YKyJLO1y5n~~7bL&hbV>!M^1D)KWj)^ld! zhBXV?uT3ot>y#|E{wXB^ZYpMl6-2V-<>l{gv6ymvCPMal^PL}e)DDqA(Hb7YJa7lx z?;F%sE_m(?p#75kthWzz4d7EHvPq~PWCI32Z$v-H{Km6RQ=fDrrpt+T+GctUK0z`h z08|WM8;N|3G1P)smFQ$PO)a)v6?_i97O~$RVg8Rpqnznu2L}hhUQDAXse7HTca4pW zxwfhyftWvDmUo@~m(WoDB($?I5X_%eGD}pt-}gbx{MhJ{FgCxeC{sxL(xD==xU#ve zE#nNdoM;lSsxm1I@%2L*0Ubu1#kgMzii6#V`zj4&=Pq-&;@9G_=##=}MDD1dq4#L? z<}mi1zR^5~Z^j?L!+!4?*9Za|zgRv`gFwrr;f?J}T&9t~6lAp?c$3yF;627@W|g+x(*t98KDgoPkVc&j=d(>}nV5EaX*SqeJ-+Ann7ql!S?uCVf=(v zTI6>h#`W~Y5G9y=8w+$VEdrZ^gx*`WwYBAWclx}E+u^s4E8+*U4v0VoW|R2p{>7xf zs=sy>89IK?+hZVhA zd=Snrp!a(kh>e`AXt`Qo8-F|8Sp04Ip$z?lq=xP?_v8 z2%yg2DJKc0>!SL%uZ*r=L6tlJqSng!qXru?tTN#qhyEJ4#4iM{x}dP2NyyL2aN=Kt zk0uaD*o(2Z(t--GNVwzz`-?NIu+as#GX!Vs)1}m7A-Jp3GR~Bv5a?)nP1e%AEbvib zDBvuxI$>aOLxMR>G92>K)brfp;n5x#&tmPQmxIpv9p{44W05&_eiW+S0#wub=4OC^ zYVO$wvtaxGDwV(Gotv0+;-s36oucs{4APrgOau@ju0(TXiHaaw*ui1Q`)_Gd z0hDGI{sTz*$cW&heB;%IorHu7l#TD7_(M z^g=74BDbXEA5>(xsd{Qg1St7~ELnU@j00}uSgi}B3;gq(jwCZ$;p$oG_sN;x>c73d z#*-8fX_j&-PV))@S}6cNvd>uI5fA|CPe6|J=`t7VxM)0^lI_)CO zVv}IG_dvUF^jvwoAo1I`Z*>rbdYq<90V2$t@yG}Zt-86&=qjLeIYF1Q!dX`8Z7ip^ zSj#S%9?hB($tGX0cvSf&hsn%XmXq&tvtn2QMdglGc8YqOum_O_foNrI+%WUi2N!%q1mgrx1AhZ@#+0Qu zs(9~@sDH?FW(u-OP`*0E*z56RH4S}QkiogUFh@Lc7zfGPS7e0e)~Wpv0+V8K2|fjF zaVstve9+sm`bT}f`@^_DNI3tMCLSI}%pZ=(2U*4suGQ!uoxk-D1M7BnEspLposf0| zX>>6*5i>qRQ-TK3QW%lqO#}IILKr#>&KL2|&`G9#C8Rnlr8i9Uu|dZvUEIba<4lSb zmNiP=L_KN;BXJMm&LX+@aGWrSCN|Q}C5jQXxTotdQFX9`yAGcsaEa_?gKM(wW;As? z8bHfiG(oIF8*(+)UxZY0iOphuNoiZpX!Z`gU)H)(jI$%ecf-O$Q<&;Pj^)}G18=jp z4)w2xfyPb1kkujv`h4Bl+-gSSp-2zMCG^nv)9Q3Fw*p0s_pLtrZG^m?Hml4&wi!wx2FumK7v* zQ>!R;gw?Y1>4DcUqO6~>2eu{p9dcRW6l_0E=nH}*>6~a?6rz9VeqJo4d!raVRd5EH zp5fbIxJpU=VT~=wZjhBC$nsfMAkZZQ9T2m%t#%<2N1JJh3ENB_|5R8ZB0qBfq9GZM z;$oWSb&Z`ipb~mv6^U_HXfB_S(8!jL5d^(^7Amz49zl9v2C`AXl)_XM@3PAd*-G2vm{uuK-E(^Aiuc>s8iGqq_TZ^!yXED`zJ><84N zrlEcF*xgj&5nVkZaWllrk8fea1768Ux{z#I$|HitMLy>4Mdqn#WIecJk+|98g^L~7 zcf(qhsoStXQqD9+c;!>XrXFZ@lw@mWdz)Ov54NrI2!B4_n+T7mE3whp9+jrE;Uvfi zNp~ETh@DBz$beVs%tj|(uGre!y%Z>AG+Ypup|Oe0!Cw}$INRAN?70woJrxCsP97~- z_uEB8>m@&TIm-l+F^}i|D_j3%`2asq&bDhuh7i&B1iRYQxxz_l zIP5utVXVc28Xr1^V8eLsQ1e|@gxKZ%_{ptzTH`5i&@i#A^BUzBP7ByTP}q|yCFcPK#X)ykMvTpF5K z$B1mi&#FfBP^?9;zy?>^U${jJdBihQBd=u8ifOqn$NbKzqcry+%ljH%d7F0N2VXOF zM_r7fHbB{qw8yhwOEw_29)~51lr&wUbbz# zrZhy6&JcBn18d*4DDFQFNe9^VFJcx!DKqH6laSdp!4_A1m`jw?mW?aF>1j_Q5Q`;y z+%urnB~av+Nv1i8_Sl;A0F8jCxCEpO{dm6Q6c({dhqI}XkX&_{dz3+a$h$y>58(;R zy6Y_^^Q^*n#zK_jQCz52N>HH!zUDwW>5F(&21^bmMGxA{#=ww^1uTlQjlk|G3PYff zY!KHE3_9Udf(QugMlU25^G`CdI}U=<9sn_vDTpmX8Kpp7-nc&7U~$?&+(KTU zfY1l!j+2c9#cWj>5h@xgHuXJ0>B~rNIA&wdv4qF>exqt`Uf#zc1)n@rGh4RfJ5PAz z))m{<6##F@OO02fcMlB>xwi82@*2Op=H;i<_*ctn zS8xe^D(!XRfMmo$N~p+zPII<^NG=TIPU!zpS1-ge`3%)~F~hW}8?5h&mq_WrP=o9o z+ZSABw5pK{kFG*ti|`0Pa;+6$EbjTE3g74ia;jE3gNl{wQQXayK797In2`Gt)Of*3qOv}w1LtTa!Teh)O5Tw6^$>xOc>3Dq?z-9xI!Nto3CwE$E}#bQHB#*iLB(Kug~pZL?V-cc~PeQsg20n^ zCs~);p2*niavOmXOPq$XMfzOJCbG4sy*9nqX%VlRyG?Pu@6x?h1q_NZK{KtWwQ5aDtr(Xk<{r3T>89Cs6B zsU6T7ERy~L;k!xPkzb+h?s*AF&Z(w|4SJnNb!PU+DGgB4!?H;*>_KqFH`1GK`5|`F zSv|nf6d-zTU8K+`TjA1fmzYLo6z>Q-F_&)Y4{+>aLB%?RtzDw|oCglXkc3)Kke!BB zz0vCW-48;`WQx^Mq>1$RaOR?Psz;bP{yTGY{m<=^m1Po!f=>H{Q~@pG*AHJuLvee# zo>Z*1Tp}-kitRj)&KFUuTyDJ^5tt)eSV&FQ$fW9G@DWj#x3DLgbK6&EpyM~x#N;_s zdF6l#O~JksC9v^cBgP_t>B{@Eyp!FVNJm9m`9aVz!Ps;GGs2w3k6X9>#@kbQ&5kns zEaJ#|dSX0??fb9wsC~9y8N5(FHTBY?9<6}$mLJH2cw)1vAZ0YupyAGbF=iHmRk(_k|9s}7@0{0 z{nrlu+f^c<%xM9pJQl1Qv@1ar>jXrO<94AvLd%c9=mlVlIktB7+7~U*qUgvRulc*E zo25F}yhf~>24nU{;*Jx)?keY#;mDF{Ea4KBIEr#q96Bs(4$8V3&&8AZx#DA0&{Vpz zdk4~ps@tJOW?Nmw>idM3`4T;)KgOu)9AAoHQYDZP@?wjq60PoFb*1^7;wORc;kCq8 zc>H*q#`;y5T`OFHHE# zv7j$(zSKn)*N;oY@5PcGo4wIz^cEk58`IWDjCeNC3O1!8n8MSj#18jM47H*DAr6%| zVvIw$?wT>5nqTtu63TfLNCBqfQ<}4saAMy_EMTwb4&GW0JGG4Ep!6>6>kjgO$y^;P z7Kqr7TB7X?q4F{wMqhrC_8|CW|0+-wG9SlEQr?e(eWAS@L>znRg$*LSkku>w?Ef@l zhvj=o3Fq^2^*ci{y}A9U9%-)X@7SV#dKoaNMvw~tz>(^#h(K&Cp~nxt7B64)XOp@S zuhEp}QQJtU@Zaw~QF^(clVGdy@R~#pr)PxHZ1-M;evFqzr-uN)!kjw050aJ5%x9vN zi8C>LBx3mqS#57AIdbDOIIva|6X=d{FN>xtv+0}|GQR0@=*xvJBU?XomlrqcV*J~g zWlpG~!e%lR>x)HDEY?*5T83)pCRmS-3Ou2xFCW6rg>ja0KNMt*n>UY+8znx3fJ69pL?(!8-`* zbb$7dCslT_LAPq&nfYgN*yShYoEk!3a%#;LpI>qf*~{x3ySXk+Qal8hR_aeS!J(M! zzf**^Nt?YtesCYVP{zTSrZ|clV#T1(_->O-)d>)34NRy8ump6g`N4+^eZ}`cm=8tD zP8YOUk}p;XLs@i8_))S?M-ldSD2u*L;BVq0^MfT7q?V(pp!6zW_}&9SYVj5U1&)=u zmR37Nl2OP$C)_(MNkyNhEWqDLW`t*^63wy_?e3uT3`F}-vY*Z5V9&Hmd7V6kX-ria z2DWed=wGxbI=CSrAO5qOI>29D{B58JJkPFT&C%Ck`kAIHd7fc(m&DNId^@>yB37<) z$1|f^G$QE8a{EaSq&_A*;nTEKJnE!&yWJG7013wK}0+{STF8nuXI-iRVrFam9 zo-2w+UgVAzoa6_+{>vqkS|6^k-R{D%8M@mxB;G}vq=~&T$CEBsAzX4w-jXCe0OXxg zMcv=DcD6ClicBR5cYYM8*ON>Vl3oG(1U?B3z<30){uh3%MU&nKK z4um9B7&fF2e^%qH5g|41bZICLWh1q)m~Xt{p&gA12T#+hHC|s8uW)Gf@cx@nsY z>p?$EyXk7}qFEF32v`u`XWaR0mt5<$S^ElhBFX8B!G@P4-2$8f*Fn;d;tf;2ffxG zq$_l;N%QFZwovWJ+u-9D!`MKcQOBvI4?o^NQ_!hGN*05q1wP=7L6R-utTXhjpHX&8 zL}EZznli|ZN?>voz5}#%4W9PlpylG$L?Uzym-gUxJL0qR{6C;t1ocS!dLxu%5xsK0 z9GFDg9}s+bo~M6pDPZ&c!w-3X{a1gy8B6&E?dKxdPWTa?9s2{@}TlQ4E!whOa=tPJJr4RQe$z`V5pE>&V4kqRO%z-r=2Bw+Ag~^tr$6e;N19YW5DP&5U-=qr$Tm~(`ooIx>Cdl*(R~t zp|!CMf&vR7UQ}e@B`6m~$7&ZMiKua~@7JBJ3?@%nvN{9K^uj~{4=E?-z|zS6 zE14^|+HWk%C^N>VAD?7tKYx(SiM_dymH4Ff{IUIuud=s%L%B$%aCr#?Z7L6V#V>@g zPtUP5VH)#Se$gjC+k<}N&C&kFUzje78%u$B5&+n95-m>NaT?ywIg{X%(wh>t3?2D=o zybo~!XMUTvl4ATHmd+}ms;=F_bV*4mNGeEocMH-f-QC^Irlm{i?gpj1Q@W))MM|18 z`TpaTm%!d@u6K@ijAxkq`Jcc+R{GVnfK#M2YK~1H=g)1niT}kJr95P_!`Tt)P9AGn zDh%OOr*B6`bF+vc=Gdehr&Y2)+1 zYG606u~vUzZ!HQMZev+&Hrn+4($dVgxj@43bs?=qKJf;{^lpuq_s5Ang|e~EvArzm z+)?DHvkgb@GD0$EEfEi*4K+Liw(%WNIX$I}RIs|Jk*Eh|Y^&G)P$mpbPQHfv;h1K$ zvHe;6fyarfO;t-?rmFB=V(5%;T=uSq?(Wrn*aDc-|Ngj{&@zTVCeBzUOSjSXJ(Xpr7V=lr#N**l8bN9S>v;8MsNC7D67^D zC(o!wSmEdLS0u}QtW;joJJT?VLncWv&nkosF0I605@DeUlgrTgn5$~SF(yS#frgv? z?<@lw{j2n9*kU1R6K=13ANlyAB*ypHH`p2(y;%a65EQB@w%c_BT5?Vz z&yjQ7QKW5*Nx=ky5~TbGgI=e^gnQ@BjI1nReN;z>AUH``DIpnfq=A*(j^hD>j!#=W z)oUTHFrgml|9y3&|Fef8B?*nel`BjV*CN(mbiFOFKH?!{BD@#%As*ZdcyFH+~V;>(#>}KQhRx{B0O211!BYm}iG!sK9t!%~k9`Uw3hW6;Yi|#Vy zh=n*&U&X5kI(1HvB}JA#RMe%-#Pwm}AG(xJQqvXLc}}J#$;!FhaTY>0{WiJ7_p~98 z{U&4ly7R=cnQyg9t`M@2k34FWcvqv74B2ltSSXqB;T@es&5#&llLpC&@G`#PU?bK@ z?!ya;BJ|dIBu=Z?e%>@ptfdG_#x{OZeCGT?Qvk=92gn3`9_K;q=8oj7yaEEc4BzG` zGhnGaoSlsqga7RBQ|&aGRnq@YUB&xvbCHO|+xR&vJ-u^BbR`%uD|kF4bG}Sp@hZBQ zDF}*^gt#f9J10v=V7n(xX`{;!#!T_;e(c*Y_b_$YHi(Lvrei0Hpl>pnz4M`&nmROp z9O3IGuQ-mL0Kpy9XO$d^Fh`wNT5ITeGZZJwq`amU^Gml?^R~Ay3Bn zp01NDZ_MmP1gyLD_H}X+E&F;^Fef}@S)&fz5kh>^_=Du)$>PBz59^5F^$YBPrU=Sp zBXuQNKK1nm1YdYwRKh7c+Lu2dCq<^emlt#J7ujjxo#)S(dC7^I*44l~#tayFJ{Kik znv=~Pui`rHTfVrWV6n49SehtjQzi^)^xu<>7+@uF&?+i?{hf7bkz<#@AzUfiER_=PEKu;S0he1G066Q;3yIX736=z6g}C>xHvfRT2tj|nd2 zQTUsp9Ou=42^~hb3)9{6=na-do`cx&rZKhZQEs%h;Ld2RlqpjZWih>98#qu+K{FF) z6AEzFQd6jt$!Kp4VzR}bipqqdNMt9#O{HcT>YJcHMb zfss)ZDR0u8C!>2@A_kx1_Px;8zCe5t$^>L|8dr)*Q`udu|KvhlsTV^~)c%W`4$kjR zG~ajI|Ay)hsm@{6U$J@1WJUGS6FpJ-ThdH|s854Jjt&mYX=7l3!j+(Lho6i|sUp2& zZ1YJ^6#3@X9LIH&X*;WR)KQs6SKj8@Iq#xJ;xG?q2A61yWKFf}s9-)>^y7nKpfI(x z!oiW|Q6&9vkZ}Ee9Yl6&;3t2?_bV5^v4}(aH)vRnhVLyme?luNiO1o{JMq+f7AEXr zV+bVLph~2c9b(IPD0Op#q!h~TVl&e9bZi!cw4jF^wyi#(I=$dSF#6zW@xegMv zrMoeOl!mrEx57pj1QECmc6>Xs#`g}-C9FEFIkXtQ;b=O0Urp2$TI^mlVLPtB$roM6 zi~Vl^6ni;(?8N>Tv`%qCeoH?4iidoRW%@wHh{0p}ZdmTdMvElMB7pQ(-d@OJxDx#` zR*svSCrAB2KTm*0Ob6=cXQX`+cz39TI%%q0m!}=b`l`-;-JIK&0YrMj+NWBY?sVal zuPU9t2(El?pxhh&NX06A`s;--ZdtKJk!h-(+U58zcNPT^Q4xU};=7{!J!Nk=lk^JG zU8fyuNucTll$2?Ei0tqbVaJHS64g~t{FZK%ge^c;r8FhUjrHjWRm2p*N6;61a(ta% z_p`=24G1iop|P7QKa}rLyEvyqrlWno0HqylzpR69z0r$EWqV5PK4bmZg5!=p7#l+y z_2lVskvcl2w|n6PDE$|3qfiQaHuJkSGrgXaAR+tp2VkNe9@1NWjyxKgf_&)QzYlJn zYotwYa#rh(uN0S1_7ghcf|uleK6RzbDrB98@Pl?R=AnS*0N#=4b)TcqK zV8-NdSf9l20V-n1PL`91;obhoEMIES-azfk-1I;p^NCx83Z>h~X#|CgW+VBs5p48C zGK&nzLnGMoUG7FOZxZU&7843{TH>IdF>WVg!oUPGD*^8phq2Yv@D=|o#|!kvE#>9z z@bhyG-QNLHB&UfeD%Pu#xN=^A&1%zauqpF>hRmkktd+swVoXT~EJ~`t1Y`)4;Sf`1 zH@pvz_;_k;AmaC4L_8pZK*Nk?rswlz3tYyXC3aW|qhr2I!~d`16S%XawV)%HSu=ewL8=LDG-bPaQB)r#6XaV+824qRk=Ye9c}_p@mHnI6CA z83J;^TPW|dC487ph0=gM z&?{>kiS;i{Un0;BTfJO+C#zgS^}ZzLcu}@p@!g!{LM6;ZSIui!Dd{wjzF&UhTacipE>BoES* zkh0qH^4LI8CN`BX(KD-t);uCWW*0Q!Ag&n*Aq&g3(dzVM$1X?&=(#ORk!Y-tQK)?k zi4PIX!vP;DEp{-22=fR<+(E3y9l&Y?&>w%~AJ!JwhBlc#XcYv4lc(+I4cmqO_ORlBC01tzxO|iUo8z(tIHi=h3J+&#P~gIb=}Vd^YY+i-naeniJ2cPK$~K9 zj;%qw1TiD^Rmfk48}S7NP0{c75V5NqtWGgQqEK6xH;7-HNQHa?(+U;;Y-7Tlzuv&@ zH5NlwG1znnE>#p!OcIwNIaPYv`nZvSEar+-b*VF%nd;9fPE&%hcx8xrc|=Qi`WdEN zhvaG&Ww-o~d_k}dMX%N|^+=gj>`@rcvUxB{BCU_dXU%kBCR)wg7*Nii&> zMY>L?FFT)yeQk%mXUYdxRf{irspp5hRf}ou7B!QM)j!qnu8HXQTKuVPU(na+oZu$8 z>w=|;VQ!*iu*VTXf-dpW5cGon=`+}cJ2(z8*N?7EdErrJ`QB0MPD&f zO&PNUKy`i&)XsI6`hX8q`z$9c%Q^i=D2riM)^u9bsp#i{=Nl4_$56kU(AH0_!k=SE z1c_Vy!n8mA2S>R3W$un$aT%SEi%79TP&7^L#^|z%Sa5uG1a<1zB(s^GSMMbeRDUy_ z0TZG|d)Ls~av}2th6qM`m?k-nsxF({!BXVTNuYbT25KZhC&)z8i6HR25;BKKVXTAY zcz7*JXK3`pKg819sJ!#YgkSh_O)ip5>xVDJ3BkhPQ0F}#(t9cMAS0C$Lq_pJ;d*tw zb85uNyFhFRo1viG2Px7j+$;oIH-9a}uXQ5Qht>fqqio*>W41jHbuF=yY#*D918-K+ zH}q?KlcLkPHg+MN*F{fV20N$*q!B3e)d-Dh=@}UXbbG}%n0z^dQ4@ia=G$-`T^eSO zDsYSiT|X=TV}-Spl#;Akyoakve=C+0oKyAZM$0&}=VY#!vfFD`Dgo zyROLlFo(-K+|}&JW#-f=OCfU~BSJTXGh!|c8D3f&sG8isc@$TtJ+nxLpbMfWYCZSJ z7?Svt%c%KgFbP}Z&{=D^bKFWo77T_Dj32pD$eCefHu~a!xS!2#*VR3*59(5#FaG=M z?(OP|AVFFI9mU7Zy=dEDxx9_|R>a@ZUjpS^!{wIt4{C^|`imCyc>Nz70g9?1^ly#? z)E4^VVZF^rkte$>YuZ?G>wLqv>_x}ztoOJ`#ANq^U@bqA-E|lHP2rPI#_fCAI<5uf z_eJCgaM+|}{&c&_om0?J$NG;CLmL(pvv5bs!<+-IKH5pAJ7dnBNIiO2E-FD*@&%ZL!Z-68D6DsuaysyhD8UI_&-0Li1O z;PU9~8`uq$7ed069W%(&HU#0^mXJJK{;X~7f^7t@ampa56N1*;4UJbAaQ)rQcUQms z?(Lq(Y7tL5p5~vI?iN{v!ISxHl)sTB^AW(j0QM_upi~hLY$&|K`BAI~uYheHBduPc+B`{TrSAT(1v*PHinY>;f<3 zn~f1C^7r@~mvuGSmV7h?nL;l4w2BI;$MhsAlVzp3yU=tfsjpoPQoa1NXvJ> zOs$(DpriLfO=|_pFmjnwi`jN#&7-DOeKkowX=NghvTDge4eXI4KV4NbMN1DQ7y6m2 zC33-W?t7l-TKaT6i)v3b!nh{XlV-w)ocSlhlh5mmox%)%aF{Ty6Hc83yXCSn+Ijuz zO~A4^KW8ZjiiO<~ENoywF{DiW2f&3pj<$*C4kn$1uYuYGSU)j|ZDtaQ1Ai{XsXnRzd@4fSmNBlx}J5Nv3duS&>I znTJ=wqGdzqmZt>aC}#631`49{_He9YZnGZnHGDa`T)fk*NVtiYXTMd@qCbXeo-60M zaWwz!T^K+irw!q=@bo`K}t z#*{0NbQsxz2IAmIOhmNu`}di%&8OM4MR41x_;M%AZ8QS#YH9QYX_-Z3!Lg$-wh}{i z+sBSbquGc!?5}Je|3j><;grI3+Tp(5OTo`(b=HBJ=)Al6ru$20o_QszE%oHxm7cC{ z>FQ+CZ6Bkr!OPT77SwU?_G~-v0{)sYz{WKZ8OSv6`@3sH*qqY4cD6O!UV?d%e(<|s zO&Xl*=h~9*`pT5JLEQrx!5$SmMA>xDbY%n&YJT)YQh-Z&f$Prq7Q6bd^d{Ph-S(93J#)8ZOpJgMl0>^c|+Vqf8e*6^&pbM=^EGcjTt`H^ZgAva0)JzPEZ8>imEo?C zODYi}PoWC77J9~b1SsWfe+k7i9Q!^EO)W+Gg~=g&<59hr0L!;&So)##YU`u0`fZr# zD!OW&H;$j19O{on7p4e#!2#)a*-}2qoB>aVXbKYMKt>&%VLK)wS&DAIiphh>E1Q^89(KA`9oliobANLt}V{kuGpnT0t^M%Hka;^F0e*Xj$hx>o@> zzQLU6*E;J)=8riC1CyH7U$zzj_G%8Us9uG;(GoH5k$vn6_rj0^o!% zxksS40hR0@i0Q&|16W8gRvg2MyFD8LSw_cuEay;(0GiART~<$M7f)U>=Tg9g_% zaeSGHRO#}m@9k{f;+|NmF1iyrbB5k34|%9%&JT0Cw#IF9!}T6Z9=BW{Ko!ub)P(>J zVeeIQj>Yozi>%>ug^Ny(j)h#UPN(n^dlqGVK@ggH5GiPEg1|jlP}cLq9yMTGQ|*Lc zCXbkh)Pym+nr=Mb`aSv8Egnk<-Z|w>?mypk_!4eIMUX3{xZ+v;T4{01;`iz|&|&z- z{E0sUiniJl?ckRFPKVUBEdS8qMGmn0S_*ZRCLt_yLI!u7IwAc!>G1UHTfM%YYv~AG z$}jZ9_v7Oryv~#%_uQ>_^Xi2`D@t2k>l$hUd$%XQj~)rtd8he(C8rQCSA>$Xz7XaU zt+!%v4pq_d$1ED!8W~}$XT5E`u#LAu1=;D+Pfu)wXst%jMIA_4my-`1!6rQZfJIzX(&La}4k7HAw z8)ykd_}Y`RdLk^Ax*+)YZ{paog8#D2s6FlZ&UIb|yNCssBexghtfbIS_Z^9%k@Vn` zT(XK>ALQPEq%AMyxV`fq~N> zc#lSpAOEd!))iWSrCqCD^;Ptz4^Vohqd})6^Rm;Qs&Zv=zU|aXVF^~m; zC=xJX#|YdN+bsLtU_1lh0|4})X)J<#vJt`Wg91?>T_l4Vb@EAJ8gdXQ7<>nO0Ul7* z*W!6t(4-4A?0q+m8gDDSO8v^cyb0$TAtigtbh!S* zud>1{tuH4uw$2M2w23<(ZM}M@?OCYrcRt3~y+yqir+9xf{@M2z9qWQ=2Gn-GRX8i8 zS}yE!Io#Kz>lNyGdJ>+(zue#vUIp8;_IA@&;bW5Ss3PF_Bk?{TqLiJc`zHOJYA9mS z`bC*~JT?;qWY&$P+O5z{&tYKGfw|+9ty}w(BV$S4 zMClUiE%xuqE>5@Ym$MM9MsCAjchuLx^1+0R=B6(RAM_i@Ui_{&+2x*cP~ETa*50Zm ztl;mJk)qO{!(z_l`()5Vnh_H9e>r^iqqm}+^uy#Yv+{>P$Xmtvmx$I~=S}_)W+h2e z6tWHN(rfVV#+Hu5xd10v=Q^`)AxqwJ7hn5<0^e&jNo=iBF9U5Q0OsSEHBfOxN+{au~ z7X=@So@Z(?7@pt_MrOS8CIVJE`~;0+0$-!ABlPgA@}JlM?f5+Pt2nT(T&pr6sihAOEE>bOGuk!@QpCrK@f_#shstMRmDI+J!yXexvt03 zhk2EArk!f*zB}*OEDk9i&Uc}Ih_Y6e=^-kV_{~MXRR)$<;3jxh$T02_&a?asO(0c# zAx0c&lLsVQa&P=pe4U-eb~{i1bs>^`Uwi=$Yot|P^S3+jWISz3}sD(Vj>ZH zCID=?r>CVUkm8OIa4>C_>rc#U)V1~Wz}Ppo2S_ISb>jlBx|Xi{7K7El=?^Sea}bt; zXJdN^+x7ZQ#|`{ybUa}8G=X6Wd9&RYFqTsmLC}}(l_X|p``sZeVX{cbk*226OI5{x z(R|-1@Xd%S@7o0fx#(3pn#NFt+2%Q=IIEpvS^iR2B36$RZgPRIr!O(1r74qx&`yl| zTw+qN*v z1ML*!`cY=~S4FHfSrTv$%WwlqZpBIFcS{6x)Al}fMOc*YXb58L(6MtodZ<7Rb>z_p12mXhBWfuAUKcYAwgG&(wZ>^tsy-?lM|;x)k(yfr+J{KTt4 zRp1uE_^i<%ar^l=Zv<)98CrI@?m}4wELB29)h@Ft6Q7@p0fa1+g@_A>*G%Gpj3W0Dz_;->9h>fdZAUL6_7sz4HnF!k z)QVN0?4X1Bsnq>hymB-)3RdhI1>a-MA<{{7`OE5tKDW^~G_*D&kz)zmqbjzp6gbxe zyXc|0f4`J&&CVc}=N7|<$q)=bK4KCQ5H1S!;pH@sivhQO>S z^K>cyj8j>FLJA&>ivso4d+0~iyxr=RWs0JQI)Nz@h(q-}*o?UHy5HzClEe&vn|ZM8 zZ<{9JhcP6z)8XvwJ+f|3(VT_`!vWS3P?zl1&L?FR!S6!W|$bYjVNWYw0l#WpIX zh5Puw-)TIre1I(QNJ$p3%*|?CC!UzyDo|C7aA1#9+rBgYTEDpA)uti9ds7Cvr+yc$ zt~*)u3f8{;bET;Z%6ySzq%OPgH4WLm{1>6ynQ!WZ(uiJ~&1H)UXO(k!6d}SA0|r*} z`kY=@J#K~wID}`Wz2Ta&(?V|OM0`-pzrEsvIQK&%vu?QN#%D0TIADj2L2Ng{Tr$y= z-J!1O)s_y?ro4u_m8(2j?uF=;l`5o9 ziqz#^>vA4z$RePtA6uN;HyLfK>U+bXuA$FF4{xU`;JW%%qhHzDBS~da$;tZ2XtR7t zy3;KB!ajIio59m1HBK@oGlig~M@-dHSTzB&^mgFEvHC_o5%ZSx4t`FQxS5%ryM)N$ z8tqXvEx>Kel$F2j9X2e?l(zsllm=b>c|h{EuVl7yw|g*3W;wQYCVvCJ5oGXk^n}Eq zNdYW<(zXFIzhm2wN0AU?bc;g9=Y4}|HE-K+51f&H@h*b5L-OE51u5bDw7_53l}3%> z?5w-aT2!cuA3xi31O+5c?Pd89JKa&229;O&O{z0SO^U$5Oa5c0Sb39ZpQ-sd^j8hF z8L8wrzdLTk!FqTC#M#sFPICtXR3Lp_b$+Z?c-+OJbL?mea!T=aD$#^m#p&~vLaV%a z-Vl61%*3~-<-}AqT6ylm@a@!NS6C2^{Zr1{Fma-P2@uWI4x(ll*%+ZDGV7iw>`FV~rvDf0aN{9huUzAu=QToFJjMG3s_MMJqz=)b zSj4!kr`vOo;Yd+iJU^Gm6cO(#PRlgxs-PUJwy2#iAtGIzif`Y8B}@X>m6AEB@te}h zX|@f`HZ})p-H#)lC>heo>G~4#?0*_f^%1@owuB>y+!s0*5X&>k$`O^VHpM9S;;OpT9y^LO)8wTEA$oD*(TGlL|LP?22&wFU#i| zpVO{_NzI z8oF(AwPP%OB}KzSKKyV)8kB%d%=;NpI|q7aiV=xRdXoWq)+i%3^|X2ovRAuMF-Ftf zK|T~5^cv2uC|B$;=Caq~HfOZpVByO()2^dU21#}-X~fulyfEhl=6RFg)Nzj#aiqyl zEGO`ilfF#_t|~g8(%}E_tU=g`bWD>DXs1PrYvaS~+*TI9r027*78o^Ubsv{NzUtD9 zAcV5LT&{;toTtm>6V1>OIwWhw@qc=FcsM+?NljYxp;5+eT z^uMhUkpGwf0(Dhj`nkK~DVT9t0hc`;$QfN}AcMAqaHwh#ZTu_XhOANlVe^U^VKjgq zo(1(uwf_(4Di(F1sa7M824u(`YLKwDHzi%}jR1sz@8 zfyY>-74)_U(_}Y)9fZUNe@{{ff6EreFc#9;07DS!j-aR*KA*8ynM{{O5h`uGn~zTP zyGs~ftPQ;~34=$~M?>%`)jBd&V^9@w7b-HnCu!3ZZIS_kf^c6Fxg-iu zm*gs}D;`4jrh{1g@aD+?G_nU2FL*Kd^!n)P6-=1-X=A8nxof|F=hL;F8N+&W0jWb3 zD-Z7r)77l70-SI6I|C{4g#8?2k1bNCw^E8PmKMn6J4UE|f>72s!swsWuOoYXN27Sst!ADL85)|nC$>b7}#hQ zGQn+6Q?Owiyz%3xHu3yvFyF?8SU*DYYcR(%`RfEcsmRLj{*?)uTljT;cs^ZwY)PCl ztO1Xz-D5>Zl2SMFH$Vsm0E`ujWjtg*kzWpM1X236h%0SgZ)^)A4rk`7#=Z!ej>PJ` zF3r8bDu)x^XqD&Ncv4lcViYws$vB-q7a0oprKRg|?}b=4YZy9FJyfJ9Vuq#`#jVYS z1D#3;Z&KoEObs)~!TYuXRgu2YNO91tzv;7*C&~(oYs927St}aeT)X*Ncqbw3Pq)g) z%E76r=lz(UDmn6?JIr0CI?y0gyhasjEC9YTY z^Z_9K1}VMoO{2V7cOq6Kvbw!9y1Ib(nBxqdsLQP#7Rq96S0}D9y6ob-Ro$WxJLDsD zMrisH5{=&t&-;|+*;!mMg7O|o>q9Yfwm;xja(~u?VH7#&5cD17XdHL~Qotjr{14jW z0Q8Jezd|;yB_2pt3hZF{4p~90IBd2B9WLsD>B^Pvd|sKqAwF6Xx2o4K*{jF93AFH$!oFW-Uh}rF-Ib;1e_S#MS4~9kzL*LFY*}ca`hR&s0(!{A-}@;mN>C- zG)Wscxop8k0Nn*RtH*IOy;`oJ;QGTrQCw)D-&&aUV+i3l+ZZ?iZmI};5Z~7zAE3+H z+83D>L!}*JmR>ivS_EgozG`HNc-GB8(0Eij=*IO*;`#Yu2|jcq40nb$?;x}vUF37{ zE?nHl_Q5+PlPi5lMuu7S$WHdRsL!H~Usrf$lPEP~t_H;S>anqY#6`#|%UM+E+0x_# zCyf1c1BUN8`1s|~J-OCv|0pyLaVpiyHL0M-(roE?{r)gRzyu`(A~*^^w?2k?Z)v3C z3OzpRL;lhwc!{7@K_o-=n}T*QtK%kwClJzVBM_}#KLw8~jRv#=URZylW(8(8s(&TdlA8-LpLz^N`8Tgpoyl<1!n%Q>=^4#ryfz+aOu2?-g`FGdM!bMY zZUw|^EmAITA!VuObG@gLw_CTj9>d)Bz|I)EpZbniAKGS^NlR<(4xS~W3GD6Np2n>(QLEAJ0w zlgX)!yXNhgfyU!ECXrp4@nj~@w!W4AUSiTbTN05V=*cv?o_Z|_XWuPThA`?+CPes)~$lB!uFe!&msTU; zR3ej53@yJeLKRx{}=bELfxJFPMt3ceDG@&=&8XUfcrqExn5j&6WH;*x}M!)NtS-E@9nt$6rzejwg@BC%6+RG+KQEpPa4%hOVo4srnMLT1B z4=GjwDR>y{iGINq?BTlc77x?4q?#iUIpF#l{*2mw8~(^zaqRy-Yd&;6<9&C$-5tt+ zjM^+&Jud;A&5kmJJ+Z}Z)PjGOvnT4q?G{rr?ldIBW!Kl&j7k~IoJ2i|{jc6)XA$8)A3yh&p5IRmX|N1ODIR8V?UvR) zso+~jT6N&9XYb2bhByY+s1M(~n=hsL_%)ku?~SGDCHIED#W17qjP(P6qW}2^j(5=L z*6crI3{$}!1UF*P0yLFFdxk-(QEaG*b>K-{KEavJ3!Z?Z7+M>bnvkV)qqbW7Ye{Fa zy$vGVZtLqa+uw`9TSiw$hm7pN@~4!BOGcK9{FD8k*qX1?cLnCx9JM{+_4p0x`FrK z&*KaX2wm)7aFVWTiVB>$>$e{z$P3h1CrWPx~=XVau>f{xkSt(xSE&#@E3NrAIs}yu>kGLct1e*`a*e6M00U zrWM|ve9DR2@4@0rV$wl-O+g|e`0@KQ`nhpzROo3d&Ovgc-&q%y7`kKsPd)aDXi8E| zi^K%YPmdH_(X9f`uHU;0YyZw6=4qageQE4!Ga=OIhn}uwN-O%VO3Rp2|McoitzImx zlmicOPBoUwgGD{(y!5!ymxV&ft#4QmvFou+Mvfk~b4;VC5xCquH z!lU?s?A^LBT#f-5Sh#?HAXXFw3Piv5!6c)kR>hg`gR+n!L{n~^N%&(VzE5p@)|5f^ zd%rRgv8g8k>R!m|JqvJSKge0kG#D`AyAH@wo&lWmV_lb;AK>tsgN zHm6;}sBj{~lcIqdSZ}<=X}0Tk|B+^7WC(i!P&DjQ4?m|#22jsFl@lx9Q-93H{uYi6 z&#CDe>s5dCH=TtNPj^=?R-r!8?YBH5MMgo@&EUx&ng&<3{ta&01;>4jqG?q-{LuWX zF7kf3=&*X>icd9?JBcXAzm{&yZgW<;-w$MoX3w?pTxQrCu4$#hBOof0aRroY#s8`i zmWIc#EK3&9t;x^AsV!7LA7<164*EHa9U?CLL2 z!(W^^PM+-%ZPcGEIDf||Vj>Lhe)&fbIZ5jC+S-D^<$(=CKl5(Z=O`Sz52r|NN z(ipAF?;m?Gz0dHrckQ+2@VdLChWierTL4RObc8{7)@jhJXe=^^Vy?iCWuV(D>(dyi zzU%J73bDP0At;+P$LYQ>nq*+Cs>Q$VlbK}i9qrF!UX)y$IdOfbEJF>1-WA(r7b1}c zMeCN8%=C29VO#sVmok=$iK?GaohK=FlpV!Z| zNi}WLHJa>2`AU9?!~zL9AbHI5GdAtG>0<;%a%$s~=5QYCmzRlXJzCY=kEeg0PAz}l zAwI8@02j}`;6&?-G%72wiPG}sf%moX7ZfPSbwaG@wA900ncm|ty4}Ts%X&SW^3dAz zyc^X=?RBZc1HMr4IF?b+|^jdTht z1~V9P{8#)ZzX$q)R9mg4V|B5}YBmqa*J@9^4Vb>{5AyLpaO5W$CI=6?AM8^L4bBbS zH4$na?5Vfz#vz7-JaoS%Fooj{e%MNt95sXQN;(lj8MSAFI$f+@u|+CyW8(_AT#&)h ze8=R9OG&qftM$#lYdiC-(*UP!@9638Ch26QOPH?{AC8^DRpb>}V4KdrP10{e#*RQs zK6ZUedg?zX81+)YyN33diUJj(hB+84zPGuVJ5-bsgz4HsG$$nqW6F^=UZa{{?iA=t z(Qh8YUfI^z$fVe?HA7SGFClU9=qq9Vu2!`4?wO5yoUOd=^4E_iT>ys#7KQSKYGgAV zPCZ55?#F&OCbTE+8#;!kCB1tqu=TnNOX2svIg@|Blpir0dDLCTbRs2)x<9)QokL5* zv_3KonOLnn0)Tpq(|}o~V8}+SO{0zaYJ}nS;%s}OwS2A}@%A$5*FY+P>55LBwLU+L zoC_?8mYwW+b!}UV4{i>~6T_Lu8-u*rU0iyAux4Bw8JB>LpiPn?% zUm~NAqD3!0W7S;r%%{!Nv5#0n=li{gye&CfrpyJ|rdUYMq`nkE=cWBs4jw|Xjo9L5Bu+Di zu#`sCykr&XSLh}GZ|`w#z}>!O<#cn?uw(5*P^#>3yJ~X$D_wb0#==d{Hg0}dQ?R%( zvhO?ZvLRbAt+P$t`{h!tqum6E19@Bs9pfwz8O4B&S^6KWU|eA*HO zt*b94)Kvbg@wj!R*{sG8cY9FvKrV-4ieM##)$K!9zJrX=>{*HvfQ!d)1GKG|mp;^* zhPdxK-#_VY(iwkL!HZkIAOM=0$N&J_O=DQrmey8nI=s9|q~@$k?J%CekpvSGy_-xB z7bow#2fXwN4zVrf0g^tNW+ijePV$HctYIqHA^zr7o+*#wWqBI^@_2~CX;Ig`3BKAh z*}}J8#T-H_dO;+7L|(^Nt}6A7X2_nlel+Mrt(~4z3KRB==bzrQuY8qJcY9^1pt6DK z@gb*qIF|gT-8hcc8u9$L_)z7@;l#lW;obNr%YgI0%Po5KYmdVXiPN=&?aO=dM%kh+ z>dh<4HGa0RbN1Os`Z{;Ed%(h)hlhuszwe;K`~-9|P!R-S z?&q(g0R0Gazg3$dg%tNUYaLiGeW1SrFPii18k2z1qvpxts5oV2gSxywCQ{54Rs@5{ zXBW(@J;-RuCuADz)4ZBoW!rNP$;whU&wu~EFW^d(O)CT)K#|18Ki>_5NiKzYBTxW0BiV+g9XX?So@Fht^%>Y4jB!#c_sM)K4-_{SeJ`xxNI2Zh;$ z7D^jA3N9DTvbclTkdiLPJO2H9(v?Cs{ct3H!F}`n2BW&sxVgpEF44 z7`I#U!3-#)Vq;t?4v>*csz&}gNpL-3AYm+M<`LNG#9JQqBl?GMfEjBj@xzoBb1KKu zu4JsO0ZtW^S9BzA>*sn6>+tR$_x3#v#1CgF>Ak7!2>kKa8r6^H*_m(hp6oK-Wp(NZ zI8gJl7w?R6=$$L*_1=hu+5}5rDpmo&#xTzck>NnsDv{+oFP$$ttGTj7sOil)~5UHbL#4__UW78RyNqA0H{T_4ZQsPJt=y5lYkajH{s${xr!8Jq)HuJctG?% zAUve+yDOAVn+uA=h(21&ia^1SMZOf7{qHru)|~j^g4v0M?%PQ0#T`A~*ICO&wlN^GuvT@A#4^OcSX6%OnW-s?C+hzr=d!1Q zBQpoJL3-YQgRgK$nJPBBvYsxBfM%^RSdwjFg1&g=%}4BaHLIq+Lx0q4|FQ^5!*3PG zHR3MrJ$n0Ls~D#&r>Nt;rQ@B*%~!v_jE?s;k-0Nm(P$rbP~SC*e(?hxCW4O#^7L8= zPyK5*?~d7L9+>;}9yZ?))JCEThS35~0uWZKV~S9FRimQVBo-=+=}C`#8fYd!k1%+A_`;a<-egQbRJVa8?LCK`@*6A%r`?^ zQRiLKV{a=*W6nFXTl?x%&D9UnnV3M>2DM6cag@i-;MLd3u~Br?P^)@KQw}DUHuC_Q zjoG54np1cUq1s5=Y1`6G7xI>EGXqAg$n!SL;6}9w@%oLW(OamAoe$cE0tU?od+;JQ z(+AE?+T8>xjtp|^gC9u<(K`rCv6WPPMqeZ0U=)+nP&$36F>@zUy|Qk-j*i+!31OGr ziZqZd5Ppj|)H5MlgIEjAkqs6N##^o+aN~c2uk;7+E4(8uBnn(F-t__uH)s-bmIqyl z#_%k=H6vSp%~=9$T-$WrWT&ADfhs;(Jht~!UP)>YGx=7Zx~uSYPAQ|{kIUa_WjmW$ zeso`xTLVz&G-E`YEQ#@79q8eB5Qmz zewD+#IzFnu^Z_SCik$t*(vQuY%g2 z8sn_>?^f93F%oyAYkJumgKk1mVIbK4NrVJ{yY3k?l833zTZ3Ac^y$6BdhXZ{zACxe zeqNLnm%tR>S7&?(;zLm|#jX-X$VL~Ly>$hBckxvy*t<&Ww0e##V!O6<2i3a2d57MTK`Sx%xLFu*qS^KHX zNq}%!AvCbHMbv_r$SA8x-J1VxqBF?o4Y-^!TwlC z_L{+Dm?J^iaqPwTU2_GGTvvW4q)LP%PG;M&hpA85V`{k4a3EG#u|?nJs*y4 z5RWQwU&kSddL4Eah{!*c?nwXST<$+opvsiKwzML$T~}u8vp-csjK@)HLikoe@Sv=r z_*6pVCg0Q@v>r;#*GqyJI0Dmf)+;=8?h=${GK4kMbky~)mP4)L>A*HQLpB&H+r{$T z@5Bk1%JXlzuJeyd3Y05TkF}Asqg6fUo?gX}9J_Z85A%M?UrO}5<}vt86tNLxSX-K! z0ytJ`k)&u9JS$g;DdT8w-kV*`x)!4Hb6fJ9H1!|y^i%{SV75Tv;+xZBeRoWUi`wO3^T|+xkrzaz&Cppm;kw%5oW0LnD)&xN^Z( zyo;d(8RV9g=mC1UB4iB**b$-W*0U|}{V7Bq*>Pm)(%>I=yC}3+s%P#Q?vNRe3G(YI zOT?;u$1cnAuFKyp*)S4ZZ2;`OEpf`W!Dcy54!JQ2+zlDjMuyyLS8O?t#*A6Id`lNE z*uG|DQmc$1CD9~Z_R~W#LHg4#xGu+|_EJZP;EN0mT(;t(Os|g@>kgcU``kL#oZx$v zHSq0{*?-$CyRNL#<-g!f_MyYQEzMU!QLbpnadXv0m_+J_>ei>7j)!kee%X5JKWpru z(fmMXJ6YBTqsI)>j7`m*^xAl&%7I9Q=g(AvhAx6ye@wI56csas=9M z?JKqO*nP5H>`x`Ib?prQ$I&@Bu+L)J^iNj@XT5#`T)&|(}p9H47dw~u!(VtAY4?8$PC#G@U%AZj(`c1gQFs~&~=c+)2&5Dm$5~U`5*#l+WpUr2plv= zfVUx>B)cB(;HLm0c_zDh7C5$`ZLgvnVc#H@y@J}Wk2?Y#fF_u_*yD6Le#ugpA>)Z{ z+nV(f8meqWqA$Y}G*a#cyejYo63svzqjggq5XrGyY-fT<4TP|x#{Rp2Vpj+2-zzhY zVEZ2v>gu^WHJ`Qc;RadvA_T@oq#$AZXtC1o;q-I%?d9e&`hPCwe+8)+50Jnkl%3+w zcY&XF696>S_FSR(KyHhx&uG1B^+kXM7k(Nu8*&6~-peC^ivZYfNtg{@|NYOA(f8*N z=$ZTtSX3bg(SntpSy62d+6MnHGhIwQu~c-NY);ZshXw>?8LpFipdTt(MH7Ixvb28DFMRbXksY6q3xfLpQIfQ20qn5}NpD0GzZ2VH3?zem25u8Pg$ zSd^b*Y2zc$}W7#(FTRg{6d#R_#^A*q%eIeY;FjF%?MQ4$|Mb%`NC*V19gX;L&uUv zc{7(t()>7s@@oaO9aVn>-S|8{`UNercGEiPWs&~8Q zveCttL5{q$NS~bK&R$=oTvbhSUHoqWi8>qhdhj&9ER+q5fO;;b0pS}0+*Y@^P>v|X z;e{SwG|Sz}7<_;1x% zC`p)@j~sLIcGI80jU;WY%hPX~Gf2!dwf1FY?EhbygfAa>g3!bl?oJIK<)#t@YnfH1Y~?y5XcDoi#FT&fPv20#l^+V4I0NK zq2iz8azgR2^41j&$EPq+NB6%O-DI4D{1r{9%A)AZvt@Q5mG{ev@mu<|Vj%TRx_9Xi7Q7y9V59r*v1(5;-Y9;5)$8l&dSN5^Qmkznq3V_QGSPx+EJp!G4N<(@Oi*F z_W47{)R#@6}VDBA`0 zT(;dT*B)gp4Hu9 z0yvA%gJvx=#vJYKRaVmI6CQ$l5R;PxPCk*+1!Z2k&S4bi6l>}C$&)U=os*TC+@Yts zIH9#i!-b5zw*FihM+9>@JGt;Zs+dhdMf@~_A<;}nZ5uf-yNdA{=@lkQ6mC)2%mW#? znYXe}eM|X!T?Mq?1caD#y7k+7zq==*U5oe5q(%HCK|_)AHtxrLPH#G94j?JkCs3af zdWFwGN_SCQy8yLEY>mYOI>GKfxxOvGx^q1t60%j0K1DGOz7!nhG9Sg7Uf!( zzUt7o4TcsfMJ}Y5KPLY5b@nInPksq_9cIntAX9@bMSFUCS&VOiMQ)1mY*LMF4q5ih zQ;;z5HS+v#JR=aC61(JlKo3Km;(VG4&_!r7WDWQ`q{ugb!gHFn)Smz{mMgehY2DrO zn-B?iQR9iXZ-;1*V8vQbF*0B(MB$ZSgN2v z(b#0%T2azh0LJ54WH?i;>IcWA8ad$e0MU{7$PS#SKaFe23{JXye=_1ynz(HLy=z7+=o95*V%GKEKAAq?a$h z09U}C9ssC56X3KdvcaVoyW`P4EHB|jLi-;%(2<9*Ltez|79!BU*GRcSeU`Cee^=LR z5TAL#A<)uzbq*9UP=LC3s0sDvCo1XBnV!?^kPMQr*?Lt!YnvKxcK%hEcr5w;|l#X!4DU! z_oRP&h&bLY?2-N=q*ScM4L*gKVmw+R!ETt(m5A4|0wcY1E*(1@D!5tnOv6>i#QCZ} zZzA;mg3d>eLe)XxeAp4DFnZWNvb`wqBxIdh4f*iy&}b^)K^{A)@b}} z>b{O152&GZvNBEL#xmw3OA^jSp7KQ_N4ZFi#ie!8R`EgZ7@#j+ zQp@m{#NMRJo6>LhDM$zd?9G_WkY$D1Cb3}5 zI^L-vlT2?h6OXzt*{GK!$ z>8V@T7I?vb>|XKcUfN{F##5%j2?N(7pf`IovRTmB{3dYw9=Lo1cU!3E3%KbZ6CIE5 zB<0&n@xaK_tx!(|QLDx1g$|H@7A&DgxGI4LvE90kk3 z4;3oWi!TImnZg2PII^=dOl4kfZoa_Ma6&`;7fl39;p{C8;-(^IFNBuky>8lmTHTyM zNoQ8o*w3pl^Qy;13|#ADgHHvG9+V0901+a0n9CN?1-|}URu~6~9j{*e&%{&CGB==q z{w;R$uCD0Dse~}!0$mx5XcX<{ZjTnyWi7SPn|{%H9Zd6+<3sYPT;cm3A}$%=cDIOc z(u3gy_n;KvTpSf?h)OVPXV!d}NK>$ZUcK?wB8u*Q!RRXwuxXYaw3kPAUBflks5#)aXqc?ks-8 z(iY_`S>Rh_KMnP^Up8rtPPy|%M!9D<4l?04u?R)WBS$V*rJ`t91X5>9bLq_~1b#{S zfb644=Oim(hu3H}RTMSL&YcWotY$gUfvCzW8W=#W&i+*I8bi3L^exS)2qpA9pa-hn z4umL(v$m>Sf!I*rm+faI88jK8fPm=OXzrdti4W4b{Y`0*UCu6FvPkt`Q~TP5;&SMj z+nA6Sd1xxKQnNx3;56)IK33!e$Dt99zr4HvI4sA{p=*cs1v`$Opr+HVjjLzg7Zpz8 z5g?oJ{W~K3Ag(UYcTzol07)i&ng$K{9e{!7+cak9-xprkSuPyh&=e7$CuEhrY4Wy- zmrS*;zP_;`$eYg)VxfuUsrzIiBnhNIY8FUTx%2zwWR*P#No)fbEvshwozQ#{Khvk4 z0U(@3UWh`o<$z(8oOpqbm(YXkN~NsQA!yYzVpK6X1On7w+X;&Db}GP#liQK~TZnr{+Dycm`B-Q< z)^_2&N)o|Dd#mjSQFN3)`@cMk3`Iw!uDGOm`-(>}N-vp8Vecs7RiFME8uOj1Z;Qc; zm_{j#IH^KLS~q`6I0S|Kn14s)hnxJ{i~WllMfKoG+G=>85Zj-zL4--WA$YLD%LI8> z?+lr%T2Qq*=}LOw2BQ5riO_>l-V1^E0XXH9!gK!y~;Ibr`D7`#k>K&!;Fi@yQ=_P~nz_bHITsnx1+?BDxE zNj?k2l^@Kv*-S4xx`{|x-5TwF-$kUq|5b}lnZ#dXvL5WN8x}YD+BebWpscLCe!*=d zJ<6lyOcHF@R5mCBNb#^vK55j+nYu5Cj&Yaq7NR#eG?hAqVnLdryCMp)d9QLbeUV#e z_RH*VrMB<;Y}x^}i;Bx^SoY`=4M|wcS~b`n+o|f_0Aeox3A<@0H{8keH4z0&&BkE7 zBdg_fT{6YEF4Nu|KGZ$nGP6SuY1*l|rzXo!5yGY_cFsKCb+G`qU4#aPg9Mu#p*?=h zQt_z%jBCEmMvS{&Ep~!F(ji4+oBY(SQJK-ZM$IyU(FIG-p>x>DEqbBe#jvxVW= zXr0)o1OL#gu0*A8F3s)P>EL(K=f$MefFECGYySx|#IChhAkY5z(&`3A;}7YxXcg9` z-Iu>e=(9+J+}T?#h8Y?QeMFZ@4f>(;X>%oW$5M}9J5y7&4xZvR^OF8pHbcUR8!i6> zAMuBD>L18!f*EJh5wX-mIP51HqnjdU^TVHW#BiwZSYrdfGBLe}k9WCBHZQ%i;nIvw zW3#ii3mJ~D0;LfCc^L8*%x^t;8#rz87~*D4bC<2O&D!(WWkblCaS{A_C_F01cPEDR z-E#-NOQM(=>yWZ;ipkjs zkpR|gWS6eL)nfla-vL)ew@z*cO0pm#7NO!Y7ynIw=KcTXJCb1zOpb09J(^u2F);T!G_mxLbHWb{+Yx)-d z^%Y(vW=+(H*f#$tp*nG=GHl3l$n+IbkKLngx-MaAw<)a7|6-oB-7Qg0cK6kFgL|XZ zw_(sCEJDu+wam`rGuhPD#G z-;+g8t5J5`Ja5FJA^xp(B&I{!4TE8pH`u8KqFZ(-;7oS}YT=zTe!6LmJ~9DtBr=d+ z_dMVZe8gA(Y`g06lLLwS70%Rwb__PQd;>nVPb&`S2KVEzY*h?VKzP)?01DMj-M@veM-u(l7 z{~mIQou=KLiAVDRSTAzl7cg##Dxnz#pOhdm4g$!CwL8i^lxN}HzklnhuzjEo*m3`C zv&l|}gC$H-Y%rOhw?p0>sFrt5K}&R^Hg-oq6(_yA(@XJLDhdD9WBt>gW=@`;5lAt| z!fFu{#;ZyMWcdn!15rlKKqbU0Rlm2nI7@C+CN>Qv(jCO%(M>8NDGW;LCSFf)jZz0J zZu^LpZm!UOk)_A^VfM_W+<(S=7``SIZ?FH_PS!7R^(*9OvILz9DOwo3s?z8^cJ3}X zm2ag~pN})rkJyP=;lRC0#shEKr4V|s!7pY@gbno$< z-hW)DwCKB+wDaf@;40aMt30%;Q4n^)z zOjWrQv0c#Mr)kU3(3#mjYAG|>lB4L)nrPwQQVs@19EIhuXAJ0iamtR;A$Qt~vzbfpx+DM-?&?Z>^gF&C#iRG# zpEL(OP`oQQt#nehcR`7S%AjgVP@c6N0>FTfW1_B+bzB3P+lo~9Bwf64C?E4lL7SBJ{p~KX$P*AWpIGRGM zyno1_Gdnjohqr5MN@M~BowDlNy;Eww-9Zi;YO-~OdKUPzEl-Jd`>ex_V-PhI@}lHv z<@vkvA(|P+E-pv-Nr;#VD~|4;wQe?Ws{8Q<`7POsnF%OE{Y^bdijzxRP`oW@pur3S z=^zj$uCyb;jL7<8zfY;v0R7ouW$Y?cpJqjdiPRNqkj&T3D}DxFva9Ee1vTgq1L<7( z`t@n39)1Egs7j4);I(L|hm)?wItzm_LxCg|$zm7_5{>5(y{GNtfu?8Sj=3M^M^P#y zEW6z%!(5gGUdC_TNmS&-zSHzC{Qt0t@0lF~4TiVt>y<3LEiQ|UAMZd78z#I8m)hzb zMG?ra%=LPzx#k@Z*}glW_t(1Td=C^B>=0=+5~zWcgtZrJxGXeHM~5@MXln)9j`)qa zW^n5a^BrY0U`nizKiB$mN)qAA6EmHPpXpAhD#V1!gW*-X6dOV=2`oxMM4D4gxz+kx zg~D6rNDxlj)YE2wL76E zS5l(dWIjo7Vezo6$!)&*>CuUYuvP@Qotlx3+huaBDo$4IbYMSG&6L2ODd77QUNV+$ zx>QG;>RsoKBRwa;)J>H_;K~swO6~pLF(`p|L{gO*`(%9&=^9l{ITx4e(jSv;La2bc z#~xHcL-?acJ*q^-$oiAl4_w4iA|X(HgZ7wJm8ehCD)EY~9WOSh4C>q767rA49s=Jp zW?|66pztB!zz;bJ?316)kWev74N>!`ATqd^r(kx4Cql!hc-}vX@S2dGAcYyE?$jpg z(gh8_d%qEhtO$+95aqQqZsC*T13Bph8MYV$9)YyV z+JZb2gj;#&HKcCPON}^7@zV3IPeM$vI!P(kmd6Nqaz-s$rOTCA8C1;NiUh#ENcn$< zhNC;{L}eRvR^9&n39Rq|=-B7k%lrE#8}TiXb|q`pTh?67jeVenT_d;Ie6)ks42b<*fw*nL`=b#*ptv=6bIXqn1w##w;sge{i!G(czNjruj(eO zxAr81nh#K`=fv@Jr}c8_q|Sl8)r%zW7fJtNB*q8fDmPY*n9eNnhbc+a*u&?WHe2Ea z5Ji^G3<6f_uMj%vX=K~8OKh^0t3OpE*^biQ?uBOrYz*~O$)qJD*w|GJ!LD5pT-;!^ODNMAN<`AMiE zX^?J=jJnqU)+ZLE#^k!w;LoG)!jPie0M2DDVnq|IOJA-{ku0uOQKtAD<}aj^eEj^q zlwDwyzv`2uK~584b=Eh=afJN8#j4~1n*S)K1?6X?Ya2)a)zSE zWe764j7UT zt(*VDqKTlf0xezm8JrCLW=dJHuz>3G=kgNS#<%0NH1}934cKbC))s8Wi7Rcjv5i*N zf6iD*_0uOrXm@XjlK7MreUzpa>^8U)lV1o--!G+;?5>E2s(tiBZ>Ja7&75^VTYuDN zR-{L6!CrU@GCs>=`jH2;lK-{BUq3ImgE@U6D0TA176|=oz$rHYHu{bf?3RYEuLB8< zCS10!V3qV3ajBxNseW1*b@6p`Z%cZlNNPPv%(8E4;q)k%$B|DVF)mmyh-p~!ZoP@R zUeLkFuWnalAtc2ET`n6>LG3^?9?20UyKU*Up!zpb6Vy|u=T{eDE0l8q{dT@WpQBr@oN!-Q+JZIOXK`HLcuNKae8*Ae8p+EyzeTd62M&S3F2@W~ zWb%FIK%TOeJx^)rM zpR}?Tty^|$rLW+#)D$)TY?MvR16T?xlQORopYRX-QFzqRa74Dq4zd&*t_CJpu6Ng| zg>j`hq?k?O$fd88s>b_xe+Su4_X+a?G#piFi|JT|YtcOd$>us}(1QpkO>mGL8LEAj zuhdzw>N{R8r}TqTV1bvJSxl$Xsne9`bTGTs|HpW%WKcQan3OA8Wo*kLjoCH-miz|s zI0Q-T7h_l2l+8OWXTS?rFYk!lW_;sJw%t7?EwdupO)$l-slvCh-?ZLSZ*rGj=jT9> zoBlJfsfRe<dfu zyD-(pYx(!IXd8Q(tna1#f zEj&C1?S)7p7DhI}+a;{=jJsED4uZh~EY#{}pCy1j^?B7m+O94EWL3t9GGOjfqldCU zFg^c_17r>XSCWg;iB+8$^N4FGn{6M3(L^f`T#p zRsGjiGz>WHnyG~0lT-2SDP>H7GS*&A)$M4{w2toZK(mhpea$ajDR0NkHzZwxY$8Dz z?-2a2o%y!Lg<1#Er1zisS9s2zs(d<4#nKp)turTZ{C3Eqn?#(yL54ATKp;2vP_}>R zoN8@r(u+7p9psA;Q-|#IN_h+w31=bK)0Mas#Ob~V6KgXe7d_o;dyZqDXb@fY@hFqJ zu`+afTVGCDQmI;^wJAFBd<~6FXY#2~1UdMpK`vRLDQ0Fot!r}gt)i_S!K%Jh%G1fx zB8+Qn=5UM=A0vEg!Cb`lbv>ZCOG+gt&JdgaNn~Oy+@I_eaXr?Akv#@E+GHseq2>`$ z&iuEki>gg)&<=gJog?(BA}RMvV>RehLTY!$<=7HF8KzNbB&Sj7Pwz1*?3i+mW%T0Y zu~7!66~xH0jGZNW`MW=o|I&4aE>~gsK|eUvb$Nz4lYH7<<9FP6$^zG$A8%HR;&O3^ zt{Kiu2c$bZIhlMbBz+Cd4`oL~icZ6(CEikAWb&idfC+v{rpNiIBsFQSG~4UO*HT z4s;j-J_$z7Xnr4mu}pW z9bDTXx_1GB$?^KV+MM28Z2@65kzQ#1kZ4GqL$9PJc`EAA)KyZIznmM$+{+WSC}YXf zX*`iqd&kWndpFmy*~(P2r0LNw7VXMAM{Y%&lg1;@9NpoF8r4{?@#XYD04_oxA^bHJ z;}eOsgCmHj5d1#<8lLyyJG>*5=;PvO3C}|imnIJ! z-41f|amXE=dpCF0WNP?t(_}68-IW?=?fFLeuqz{F$)4Heot>R8fU6xK)QA>Ma-c|m z_8&{XDg}(Imat9~UlD-j#XUCnF)vjkZX-OLkP-LJvNoHB^3b|1&zG4|ki!)SHs{Vu zq5lbB!JXx=oN%SWZ?)E*MDbH)*DxSAVYBJfrldgE_V9y>cX3<2k+CVm9^C_cn|t_J% zeJmuW{#@@W`f`H9e!=?FamvN-x(h3q{Au2t5d3{EX=;bpYv0zP>yI6T8$A|apub*_ zhYsAd5AQ*geHeH4M`K0k9?Vdi$oEQauqq3_mq&Ynrr>k(B=%sWxclh4F2GV2cAWHlD^U2qGCG|h_Fx~?oId#c1`+AWkiCYLPf3zT+WBe%XoO6?AdkMv+3GWNeN{FbP+lL)#AGldDF9o8|A$*G*5A$>b z>J#Il61+dG2x`-s?kCLky7Cz!%-Uu-;t~j<)|D(oZW-t72j{~4Rg>zwuu;=FU+K{n zH}K5XzY28lD25D<%QDAF8ig@AopL1S;Hrz`s=;%iN^%yz;2Qm**UxcZz|M9xR{20i zlmYu^9}|I7sf#nwyk%fS?u_MuVIP7R3&Jb)(wsy0ht`Zt$juc1VflVtI&PA6mjcVp zp9X@5O!`DWJk@5ipSe5P8S8~e;zJJ2cYB(gv|hW?Hs3m@^RwX==O$+tniY+oiR00w&cy^`4^GOqwXe-t5r?^} zK;!2@@;ywBb5rQzy@+Ba4+VT!^kMpoWbo>55STTMb_TL8aM@Ju-G?X9ei_kp*|F}z zilA+p&Tqxlzr<@tV4dfj&DIDu@L-4}pK^Vsf;0;8xwk8zsKTH~&I;OZh*)>Dr=SiX z9Q(=?2%yZ<+ilmq;2O3mX*}>Q1cz+#Maqy5)c-ECPt8g>BwWaE&LzvWm5Lm$SnY(m z{m^XeF_%vk+r8i3Bf#&A(H{jEWDM#pIXey5)8WW3D@*Ax>`!;?+@f#b=(E`a;B&QtLdt?lr`ZDyb=unq9e9Le@9+I3K z8){}&ddn|8SU0%4L6pUSkH@b#WVCuZMfFjm{H6>pizg~`Ea}n?Lb)2?h!x(6ez(p# z;6#r#%7>YlaYo0E--hY|a#0UkL9j3d=nYP(DXV6&w?StX!Sk<~8}4s)b~!X`VY&dk zl6OHgR*EwBpH;Fk$5`E@n4!ZK5DEthXszb+$%*|Z`h+7T*cNp%b>$Fr`Isra%=?RO z5FbuOmke?MevAcbW=z=I{r&yJL(8=E6$M%5-KULVuYLF}6L0Pack1Y%9P5yOu#<3b zhFFTL0I*0WOGF;Jud#qL!l&r`Mln>Ndbia)MOl%T6P~}z_hL<{Rrt}W7GIEVv{b66 zlVFn1Jo%OK>1d{d+2vUgMi)}yM}j5M30c}{=rdd+(j>X~^JUSxi#UmRP5nIuhZy6^ zj;j1Q4DYBE5fCWx&GRukA0BM-{(jJPB;e&^wG$E&kp7s#%HYJX#ZL`utct3#nJ=*{ zv6mKJ%F)|l@sYYi%5*}Ya=+I)epl){)%)F9A&={tMv9>)P)@x7a$*eb9iB73}k;^UR(sijnta;zgV; zYS0&($I&7961NFjQq~N4N6jt+JL(qj*yX3;BOi6SxA%C#4qdj~#VjUh^@O!abAsSF zsiREwhZct|ck30viekq896x7FPvkX|ZTIqk$x(YtId$sv}@ z-brZx#nB$MkMLB?Co?|eYFfC1BF2m!*Ls+l#0RRmq^T)fAX4xCcRx< zi_on*2IM_Nx;hXH?Azfni`I}b<>TUyHg%t?-RW7chTEdIb``orFd3YiXlLFO4zk_{(lsEO-5<^ue@~r^)0r?Tr zFg6*TN1`v?m1An<^hqOX8P*=?M8dy`uhDSvlU9PmlGY#`zMV6Yosuaf;Pz?M?}Yig z{pIqC$P|n$FVD3Ufd0$Y`HN<7*>D{|rvr;z2DyfQHoOGZ)%uW2u1o?WU?${i3^5#a4$$OIFHE|rw)lxU z@A%c1T(}xp3Wc~E|1I6>9>;Y!%M;L$D^9_*kgkR~N)-UE_bUi*yA)S379f5a85kVb zKfJ61=?4K>Ss+~nASWDo#O7nXi@r52dO^Db-6?pGTrW4 zoUM|@qZ{y0b5Bx^7!CXh{Qa+kh)dBGP%1@r)+QgtTcwX7NRRbmJxB2X27?R40jN{b zq=ltJvCU~N!Of@IyCdseruUpiw+@ktaPTvdE*=nq{Q$N2v$KoQi$L-x( z-c24sh&HvLM|INUvx`fJwE$)Y(iN7T@2z5y2^At64kN5Xy*0<-Lp0i64dEG2>j#OHmep~QFw5tgV8%gbaJj^7F?e=?}^ zP@KW(+*{oa`5A+8D`t=GFZ$je3^upv$>P~5nk#;OalZo1dYtZ!Fb#CFCI;yL;0Nd}YRr)24d8pJy2$M?CixjX1hDCJp4 z!bMrgM@49n+@9XvjZ*%V_Nj};zSYHuzBt6>Ajoy~1cU)7E0o&$mMKDu*v}H^TOKQ1 ztWT(Y8rme&=WIMV0!;0ZqXa-@)J}N_)PQLtTQfk*$xO%rq&;BStm1Ux9YH@00mNkk ztHqE@{^WnAoTg?CUATI7z?_*0ZgmjMSGXk;4Or%~vijvPXTwR*3!j(<7R-#xE=MS0 zmj{+zmax4rMQjUHdcoTzIs%)>C>W8+>~YnpRAQ)NYD9&28HA2_Ko+bvL=auI*20D% zN^6n>QJSWV>NA$@@ThX=5V?c{P-Bw22%kVXg-4`vrFuGU^c&S@Bo3YTtdW4qFofoF zv>z`?dJ(*2n*NN3P6S9?tGRLT2USkYA%`S z$Lf|IE^TUDKKFYiq~kL|ZBeLOG;<5+hwW`#MD{O&qre>#l=c-TIK0YB_u*rbZ=6$b zSAj!Y<|i4-ou0Y@`KMua112?Cp0+hpEEzk#^e%pQwX=rZf{q`F@&ZN%qRAsrHmq&} zFzl$%gM0Sm-WQjuHWPx==9e4D4zi5nJ?P);(vLxijVSaL-V4`s61mp~J_OB3)VM?x zKI7hTh-UbjR}p>~f5(`8IM$K0Yl#ch>X!v-`k;KGi=}Vcs;OMA>bR z>32}8-T?vgpto&0u3Kdc{Og?uTNXuPTlAGZ2m&HPtsQcj2RgPqL}c5K|6w~zLxM7A z5NQSb%?NtCs3es7bhqlFkKr%u*Uu?Guu3If7$BySJUbz;HqVF)dd&aI>W+e z31Vfdetm=%bfFSbc4#TH>5zLOW1xPV94& z2*N}@3sre4w9)KPWiT!@Ss{6O zq+?t~u4qPLb8JLx@4yGnCD|k|bM|>#OLJ!7iW!?tiS>bg9S;$<;|n~yJ9KO7cTVEK zgi90MfT*pB842b^8UUZF-H&K9+y1;0-gWaNZxL1__QI+2A|KH8j+!-=#Rf22?7j04 z7pl0CcNcAHdA)x;ztpmz@*HbwK3$_{Oy&H{ZwmaVR*&Dqiarz7ze`HLVu}!f4_+}< z4gQmMP!~2ulu{N*>NJDOvkgNONOGxnS|Rr78%&I8tMhB{!aDUufh-e7Wks$J7)wp9 z9y?nUzu1IBSVO*yfQX~bVe3CUVZPsS$ab4Y_l{}f#+Ap0t|2F5z_LuuqHs239Oa&9Z|b5q#@`r%AW_F0>Q+V?)&3fySwT*7;yF$j6hiTp3Gd>J+j z2zb{DZiM&rYy`JcJg)u6P*fhVzsPopXXS;XuW^I`fU8JHq62Zuxf%wUBMZ<1GCWs| zB)f!vHdpjU>KRG1921qySR@s#>5d^$`&e_KaY`zhGO|zN$_HAX50iG!78wN#B6uA1 zWj6U1=Xg>=4qnC|wsApEt3jTr8Dn&WVQJW?{}>RC*md;tRbM;W1(VQUxbd-KU#;+8@#t;b-!0g9K&9x6A=A^V_ZZE?!;KqHFi86aecg1T7G6L3fJ_RO|DDk z25>zYP!1I$qv@#@Q)0iG>SOY8NOH&iiVMmbEI$}JRtCGIh1NPC_`&q3&nB*rO#gJ# zabG}S4}r(iscP}2FHqZyEK4OCj^2^|z-P%x_bgUBQbHm4T9pVBp6bG%fUZ=$B;Fb; zG5i4)0+Bz;^HWwXJn;%vWtBgLTYpp-e%@4iz%jF3e#^d%ezXlmw>`{7+H@h`J*?-e zUQszh$s%7fF^J3*xuM9-l2yy(5b>I<0r{A_UpA_({MQ}C)C;KXzu}*%mkJhwv`s3B zBYq7Oi7nE9=7y+Fi6dC62w!t`4@sT=trGil@rs)B7bSek>`RLC*xfeD(bUcZ$b!zg zaC*VNsVYnNYIc6g7(!pI=OQV%qVn&$dR4`~{-ZNo>s((7N52m`Ccn5RblEeX;Mf`_ zW4$HJ39$ZVGJqdpI@ctv}l zsJj*weLUt}GyS~A@TIO`rxMyZ1W&a+lq<9si{2I`q!q=e2QiKNLWs3S4X2ainvlMm zf1?2u_^{b@e5H|&P*0=SsjWW<7azvRKT$k*|5_-r^?)M%*Jw)nbOp42?H=)S3!2!UVsrWktk#c%zC%Itf(P zT7*#R2_GYGqU4_qK4vQMFyhR=A9Bs9EXR?I+}rsS75_cUp6=j zk6E%$)o*xk^*tkD!KLzycB%1WdqJ2H{Qf!2s+nd>fGL#bMp3XCSN{8(khdK#0U#x6 zJEh;s^r5ngBoL1Ae=1p&8Bc+XxIIRI>~^gIfG9)2piNLT8^ydXb}-Wj)O1jP?}Ql` zd4}CkRfle%nxBn(soeknqfJRVP)8;&#acxr1$T@~^|%G+eu6nxq!gWqr~9k!kkN%1 zdTCo=q=WF?zqtCRaQxmD_#d>K<;UOK~a2WR|teDl=1YWyQEL@~Y%m}hn!3hCv2wP(;qs}1V9zol=J z(;dv9+05Or9A}&(D)l+>tDET({d)J;ZJO9KdLe_~hTZ!0#30{K_Q|$hoySFGa<(rN zJ#)zTjj-w4AP5RU%lh57L;y!tl1Z~}(1Hxuy52~a{QAWxeS>D%Sw`8s(xwPM-|I%z z!OyK|m!9~{**vWl9L$={t)ZBGO3j;tA`HKw5elD-ZTLKtSZ54S;BN?k19`zAgbdl( z1_Q-z%9hZ4^Oqb7SOCPSZ?yAY(tVuBvpZhPYdSl&?gH;@PxjE8CtOROMWV|?zvx=d z@9zj~^EVxsQz$G~kqEL6D)Y!?(dEUkiJTv0xuQDt)t>O2RROOhde}3_Nqy{AFq(eY zf?MYQ@a1$*S+Q?5Haf1 z3tGT*4}aV%@6ylS(GX%=eI*d^nlNXzQlEYwP-GAxdDV&DSyTi+?NIk32W8Fd>R;ck z{^WjtQ~?{8$iCVdl1}m7mvh{fac#72O$+9eR!hF1kId-cxTaY<%rWizgV+5k2gryC z@+8nm2yi|7b649HKD|>oRyEi1Ka!XDm&WoH?+RE3^e=U(*|zS$tv(z%POpZb>|>a} zcaB%A@C}TLX`|tsNbPr(Ggc38R^6CGZT!HTSIne&tG5fpCsox%%2EK_%Q%ZyBVIx;TzPxwk&>s^`9(yUV5$I=tPRZ3%D`L& zzl~3BZaQdxY~s)nL!}xNYR?GtL-q=R+3z4wrSDx-Tv%t5yv#{k~fyH>CldQ_H8W&eY#hgchKxXzp* z{}Zw!#`&UniOzzQ0i@q<8&?Q6ib0k+P5^&G(Mk3*KT4U9F%VTZ7TU*{SHxmn9iq3Z zXv%y3>Z_0Cqk6i9($RX6kZ1naMBo9MxVck0Dq%!Nqnf4gfd`_UhiMj-F*{P<>EqsX3 z(y%<6H`N%P-3P$mxV#ntnhHU^A%{bHOka;l=j1vvM01iB%f+0G|#Swt%JO=xL7Y>deWM=rTTQLrQWD<36z&7SMGqKnN> z8b4si#++llFiJ6<|{_II9?J@KdSySy_&FhA62|Cw?TgG(X(Kp#r zUG2*!PvUd3f6Q=(0UVPwHWCuG>mkhe_Al}|=i&3=<#GfVyMH2CpnPr7NjeFL2((&T z`q(YFA$_E!KI?k~;;nOI=z_ z@um!aqeH7KM(Igrm*Zn3JJuk@QoSc1B+y_(984Tx9h+myRDCvAToykR#Tk6}PZ)PW z#&4sk7%MJs^2^r|BGa}hk1SI1>)onhk_0ldtjxeQ$qBLdZwnHOT9O#lyF95 zgBZIs?eDlLxVrmvu`i82v=QDmyqXu5o0Aa~kekzrsU=cpNj_*Uz8JStA5D~93a<5t zU*XBxiFVq&fA9tREw;f7qD229LfLH*(V{~FJWrbv*yp1rvjX6jf&KLI6xW8kkkQ~k zX5QhQkcjK;kK*-Wv3QjGMCzUTE@yf(r~Vr~pXp|;*vBGz7av}@?xX9|_FA;`zn;r| zJzw}Xr;2xY^lc;hSxKMWdV{8vo8up7i2-6=iCgX?&Eoqq92%etl)lP!p;&PI^gk_{m-O2sURj1yH4h3 zrwYSx25&|W;V3){;HhB(urvZJ#p4( zSpjY7BYvS`6Nr}$<&{elR53K{l~vZiO-0llcC`wx3RHVf5aZ!*&N=3ab$*MfJBwMyiir_V{i?1^823~122NT2Vz5OF?j4Zi2rA1CB^fRJuzIh-ailj`z9crzuKqy*?~~2w-z0{Vfgs8#4UB@t{o}C3Rx0b!U#Q@9 zWU4GOCi_Hw7{GI*fLYu#ZW`;#oe$|x;NW+*ecp!0F<%^-tH2zdSeu|vJx7iEfz}Xn zdY4y1zt8p=0@K#r;J_bofTq5we@vXEX7o9wHvj%{v?F6x`)*;3Cq{h4p8@%m4iVVl z+VTNnU=fql8kYxCr^e)}ab(xTZKs+PQEsoA%%N%hNbT>Q8;3XzxiZH|HFY%Jg2=Wy zk%n|7`7JW;efmswB7H%Lav)Oe&aB(5XB1FP#n{O&&JV#wxDC-JcYh7TvOy4nSGZ}R zg+FRrW{IgdtnPgLW;1c2fUjFhDwM=k4?ViwVcxu6v%U^%5@R@rP72T2z2zH0L&2QQn#3$$78dIx0>E@OSc;V zOh;OYuv_E1_WHlv?k{=`2fPg-CUG0CF{Lwsk!FpV=B-5~Z?+j!3o%pX9Gl0o_&!Bf zTzBXkLP2Dr%eKwszi|2yL^1maZGZond1A#gH7WMpui=M6+D3CxNlg*pK!`)i-4uuO z^*8cgZp20`@9p46;aSmzqiHRRowzTX+<`hUo=0@>Byl6A`?&Xe=(qcyp>Kbk++QE* zU1BvNT&QkVZ^d)+7?P8t-KRSYikkYWX`++X4P+;%XcTrar>%@P&9eoE`B{gVCyp8O z$;s6&z6%SW3x`Gb&DM5ELGqeQ&K9K6%Js{GBMh|rm&_M}#PXjAVkD!73v3|wKGRib zG~Cdt;uSnvr7_4JujY{Aav5iB51+;9@fiS%i!dn;2Da?%u+R>MIRC56v|Qs7h@L);ovX zurem4^X={nuY}u93w(6jZ1(5jUa2LcHmF)n_WkG^xwPw6Wk(!Yeb9HNrDrymvf0S* z(zo23_p&0brOAg&CY~fw+oI`zsdxEwmczc)*fty$?@9S1aIG=p>RdX2BG#QZEBkbg zTlAf`w{R}vP&vshNkQhLR0^CQ#}apO2y_oX5rDXmyX#0wpiW?B+9PY|E|}*1QI!OS zmQPB1>0;VMRo`toQeCsr8O%bn7J-c?4(c@2u9o%c&V`YV+YmjMVha?M>~H$4AlaG( zkQ+K~1Lh!-D?8~i+)@pQJ+MdRR3yHGbhX9dX1`xIpd76L)|s*&BDL$wI%6ctS^@Noa!@bkK5dPkjzU@b zG#UB3yvmr$TdrVu1tnIQ{$b@C?g{`u53MDq5OeLVkb#?5@4s)Cjx&;0n1a1%x{vBt znB~u0ny468;|?=++eozQ4~;0P5sdd)rRk9gQUd=QaoRib<*#@cPLU1z=kX&rlk#Ql zPvtv~Z`H#vM2ELdfHv`EIPlHiKdiucnYl=y|IJ*8@mP2Td+srR!2G9Jp}EOiMWb^% z-?y`z6p2`ca&Z1y@=HZ6Jy~n^e)7IATUeJ!yhvap%9~8pC)ME#8pN&8)|o_5ObGc| zMidcabdc^`1jU~c{b6eZ3y;(vLW`4hEiTa#uZ7zb50+t6BpwWwKY^XKWM3y$o;Qdr zOp%5Cth-5A@Dcr<5P_q zo30O-)Xm0}JQBgWdNdlg!x*Oy-g>{Mz~NAN>1p3Ccvak#=}GiPCC~jjNk3Fh949ce zZhF-&F3sBzN+Vc&n+%Zgb$eC+oVo2^5J#2fp+j!wu#P@qaiXqiBSYC&3qxtc)XSg=Ml!KQH`VuMKL-)$H- zYQ~7K7p%*s5r+G^-r_K0r0)_RMNs}X7MvEMwb_e|JI8kjcE|#eW5<4F)Q-t_A)a!W zTy_75>~dw6>3e!!n`O(?xs(h5RF9MIwNF5u{3zInB>uU!UE7nX(s2fpF710-o~mw$ zKaqY*W%VH#kXb%Af6gw5CM*o*6 zdbDwqKT=_l@3K5RvY*JlRkEMlXbQ=hw&XiH0FVFR?@WC7AY|JG%_UVPL&;{2;1#-S zWWeRW-1IDazR{A;9iv;c$c27(SBY2(#dmZb31NxZrB0<{C%;TmN85HZ?5NLZ*!}On zw+e2B@9RJ|C-}VI^wqB%G3B_Ae1S>VuwaFW-(Je6`pie~0QPRHjMjs>Zq`|pUy7vq ztKFwGG^j?Aoq9$cURM(h#1Lq0KgPE8&@bFKEi0jX-;baz;Xlx_N{6u*ah zoM&9b5|H%ep#)cd&OSohE|JKOX|~*-q#qnR55Weckaii1`{ztRG%tv&Jn6!w@m;1p zAU5gtJ95lV2~Zu2gJot1?A~C`(UT1N#?rgw?)%jXRSStp!QkqGF&-Ib&m7s~U4egb zUqy$<0~)<%ENlyu&?fQH1d4VkW^g@SlGs+%$Gb?;dvgTzFYh4&h$h05S((uXBk8h~;3`ti#Y^_cdN;(+Lks>Xd( zMr1%DRlT#U#qd!Sv%9gnK|*9{F-4>gS%3dEDrt;lo0U+CvHncLpdvkccD6@2+ME~c z=-j=JLaP@%dicb0T@@8x`>~z8{N+sWR~ebO9Mku=kukT^9$2U6>qatAKr(mP?c6+T^J+l&x%U z?9DGOjMEEi-ze+#E3!>dP;D#viVkbIqc0elJ(nX(HkKs3IOZ@pIb(QbPljwTwU9Uu zc9|ijbJ4*m8g3vD|M zTc}!5oMQ>I8R}JnikMB1J6bpKmRxM-V(_kg5==)1;@~bDgHqiJnwzf;Nfg&`|~CiHqg20jkW& zh|)%{iukmNkq2SBvP6H|B)L z6BEWrN|&d0Ot_m{=CQzqs4HoLGa!7Tg*b`k6m~-_8{b!TXl9Mcjmu?rn>pyrZ`6#X zNCY+h6;WW5WBxQ>Z;@6k-RE}K!3M!Xlo#>GI{tdAHxDjNQA^8dElf+d!W|AYDY~G< z_H}lDt)nwirIvebjk2KVyQgja^Vmv4z7@Wr?Y0c8-SRx1J{NHAvg#EtFeG%ivjt0eBcat#)8kLEr&k6%LAlQum#?XBl}6t0LN9ZI}r=U+z8ghDh#Vm z?Brh8?$1_`NUun+fWQ@(43vYh~0?0*8tir(sR?lirtoNANBq5q2ee zS?{bNMK>sh_vu)b#w5RCmEVo>t zjqr{){V?q@Myj3SHV>M-1%=y~zYZIYn~L4}P=!f;Z?#|u|<8IiSL>OOdR zny>_F_~W!DclE*N>KD=|aA$n7|6P&alYNn)ED<&)0wNC~yKZG@a0%Z|PY0?;zEGR= zCOSX(6%IOkeRaXy8nSwv-?3idShtUk`-JnQ4A2;j?A0%r{9#lKdJ5}@a##m=WJ|X0 z&dz-%oYe79mO9^1kuVToZNKyC3L8tq`BMJQMX@?~cMq=b;_2Lg-VuFTRsm8CLP%43%9?25V~}PA%=DyZouX)Yv>) z$~6`6U#gOWseF~HU_V$&tBH56D6fzuLWaI2DW}0bPIezW=8G9rIHKxDd>}@qI53fTw#IB(1YwI%P~pynbF+xr9%8q&{uNXIQi|uxaX>B)EPx#bg~Y2 zs>T8c7c1%baa-1>QYS4IIO`b9j4wL|fhkeLTA;8c4V9%K5~e0Qgs|C z&}5X3Ebrb+-%4#gh+%jHL1|W|eD63+oG0t$DE%;annG@NTtUI4k*c@Caz3WIZ%pFf zAkzKBf!~U~1c@h$uU9k>s#i^5^1K6I-%aiZ;tr>8ljf-#YnLS$XB6KXH|r)?Xk`@# zO6-N=G7hq3ORP$RD&S}IOa{vNqNGu#Z<2J62M+QgkIWTTarph4chQF~cIciJFU>_& za@jY@m#2Hya7uA#Bfu0SN{N-h?q--jLhI0%I?yP-$Qz7=UGNeWV(5~4dP_ZSN3E-r zPqL1vVNPZ<<;@KAj{@_WfEMz8g+bt0xE977gJgpkG0E2dF-f3e$*OhNg*ct zrqKK{8}jWx$}?kY-qH?x!4X9S^Hb7CByYmSDe{)_XFP?^Di22u1UZ0Q`u~KNK%o(2 z2>}sGA(q&;Ow(6+>Oqd3DVL9K4u%R~1Xt;gCDY1+N45g?d->)n+RSx>m|$8S`^UEH3p3!ukF;a^{=q zOyx^E=)P`adHq6OiN6N6E?}N!K|agT5K#Ux;Y@*%%hwryg2)2oOU*9%8C8|fHx03} zH+dj35CaiEGRE@qqJ{6}Zc>sGA84g``p;=wmq+CO_fyIVruHlG9$;p7J9Wlpz z*+7^Jd%ny(GjKP=wq4yEEcg-HF02hAEu7`V(186&Fsd|HPoL^SEkP7j?Qj|lF6HW1 zyg>OfZeR$|c$_MhDx5ZyJbOHyD8j7@O5N@sDR~WMNxU9UyP9CWoP?yXEaaG|myTn& zFPBfsToLBi^a!8RFB@#E%IV+rI4FlzfTbN-o=2v`7L>T?2kuu9Im3RWmYj7|2fM-9 zYq5YikEef?RMAdijaU5BSh{( zqi>8X5dfQ)d31z5sjPizC1kw3zhWxhdd3lu6Bi<@o3RmedELNxVI)9Vhwq0JT6_v} zcZyRnccccV=@Oj3YToMAp?){cr_a-2DHhOg_j0QEY87naW}u5Ktt?o`<$0h=%6K;% zq{5S*s2IzKT)r#kt7kYmAC9Z@o25GyxJX5gD>jxEW~{myhb9O$k?mKyF#|W8Dc}3g z2VBr5OuojBb{tdUQUnGEaAJ>iP~>b(Utnb+8)KT z^kq=h$KiBTv!Ll4&ctkFBOC4Z35H}4A+f`zmvFMQG0>KeSW+k!(D}E-(>`*gxn9n_ zOIPMDXVloizMuuOB?GKz&fM4h*%>O)(xaZNe7L@EwH{I|DuU*^7N$#)Cjt73_E?4@woMzPFe7rx@&g|LgO#IV3!FITAm{SXBs} zSTUtMq72QQkR{5$+-XZ-GIjvBy{88lxYS&=&e6wlzY5G|uRm3%TaiH-e)g5U)8D;BZwn=(IRv0_T5H`Z`!GL>{Lo{Q7 zjnJw+ch`cNnnf3Lt=-(`nn%`Qqphi1kd^T#WIASR$#EqCP-jw?y&`oUitz#8D$%dP zrwzBHn3BFhE|ABe+cgy}T@jvQtw@!ExzzcT4le=={v>6vKQhV>IL+ji%wPpVq$GWm zC~^0mEE+6!rbU$f#Sb0Lj%2ics5T0b3dv_~Cv&yG4Md(kC1s<>SsQeIlCfLI6SZMc zgn-b~WXd7)DoF&FV-4x?@g;VNvcoRGzyndXaBnq?Xggu+2VQ|nb|HTM>Jtx@`^pVm zooc;1+PAvr?;mvOVt1ms+*e-`EKes8WZcI6Kl0;EcSiZi7K32Z(6QoheYwP1b zVg^*e(4sfVKUn?vWnV+Ek@fr{&Li?V+ zY0g1TI+yM2>s!e={5y4}z}b$zCDLL=;khX{s+-ROup3l-`MSj$(?S(8y!RmiQbvU@ z$Jjlekry-id*}mJK3^0?3MnnM^$>~uE_l$y8TC|AY04>Hdw zgsL1+Vg*N5-G*vmxt%9DZ5|zTvN?QG_Gm)gI)cLOJkqSh^-KZZm{1YW^WjS!= zO4(dw*^t%nl-^%OLeW}?QCJceR4~6>uUYxVunPK3>ZMeSOzqmxyGGf(W{L1B*^SIj z{1=Qp6L`TmK}}EoZX)f%m@1Dg+dqLK^S=L}&G?tI+RHxiYE)^v^oA9avd)oZrO z{~7}Y9$L2P2*NQ6xn$A*x z(#B&Iz&RugFH;pS{Qge!oD z?$fO}(AeUDDg=l1AwHP}lpx?ic6-ZxVC%9RsjfWN>Ynk=)BybtgqlwGJ^$Y<2G=W& zUeevT2_rZus#p3dKgc;&Y2p{7hNhK*RF=mPD1IKu8&6Y0+(%#HngIW_o2gLlMEluLgqMgbD#$01J)`ClHQZG5RJ|UhFGF zDIa7FbTe9>@@CU&)ra89jL=Hg^sx*1(Pi)VZ(R)>9EKRH@zM=dP@(iZY>(w z%C`w-&CtMxJ@j|$p#R?b8Cvcp8yNSWVJ0#3Eib4a&u zY2tV4RoU0I{znb!iSAhFb~tx!+UCAU*)Xk1iO1fgjXWCj zk$i9y2G&4_;|&cs7@p|lyOmhXY*>Z)oslXG$5zxwg{~A{bz#QGJX_{r>k5ID43HDZ zZFxFoAz8mtc`Cl^w#{3 zmNSJ6FLMoifAQyCVpWSNg8&V$3cTA(hOK^Q&yF-Nn{URhX7!puGhG3o%p0)W zM)HO{<56%Q5JgU2a4Rk3{{8xKqvAvy_d`d28{Y1sIuWhXh%E{oA}7i|4H`cNC3{iS zT}a|lIB$4w;<}>2qab$l4KSVqD-->TCirdwRtis)r|Q|Czy{PKYEI@ zUv8b_BUk}l1(c@;X`7qs%Lg8JA4`@rIXVTvk^~sF-e{F_`~bfL34&FE+-}~cqtvAl zbmrIbl<18xl%YPIs6#4^t_ij;Gs%YXG#T2*&?!+jS(xH4j?W4U`x}s7;PybGYKQgy zJa#!K_|0#S5rmL_H-5Wy58+;e>ScgG*1CR}B~@7e%Mn0Kk&rYE-=r``*eI5&F@lE4 zYHl3r!2rfaBaFH_oMh&dZ?@`ne){<&=y!kpFC*z zxqRaTs6wH(_t7R&s70uq9rL9S!Nhy>j0!j+8a2qm8V|u_@pTC4bzP1Gv55&TN0zEE z=c&2+Tpm^n8Zl-VqB;^ipHUa$M8Qz@`Wm135g4URmBB>?Mx5|>MVFi+J$Jnn$65Q^ zydWXi*Oc!#iQVeF=bHL)$ytST6Pl1xwAMoES4?C5YR$THM(yhbMaN1LyO7IlyQ2P~ zxkaxVEkC(UvhdP7nQ?iR66E`5>IvhkuXGA=zjIgMQCZkQO;n9l4ZmNv+I#nQ)k-ddNLh+%|0&A8ITY6zZW^Xg~XnHt2f# zTbq5f)j$r19phgj^g*xYY&Pj<~~^3nB(0m~^7Ua+_{>*}6& zuT*YO3(TW8Y+kB1Y|gBuS}g-3=|0_nK@Hf^84GA#zw}t2v$j8QGt=2w&zf*grIKV| z>0#b79yeY61q>(+!|dV(z*`Y~*#KziQ%jJTeW@KRHOi%TkG{n2i~~cMzzIn{t8^mZ z)cbVzba#gl7o@oHSbBJQA;H1zL8bG>kk1^{Y%s}prC0#rugvSo(x*N#>_!TUv)|0K zQJ-ZP4aGIbV3)?dpbTM`3oBrGfxAw`<}9#)IvN)3Wz(J;(>u}vv%}5BCCE&~1Mfbe z1txcWOi9RVpVkrZQP#em)sfukVAnhGU3b zslMWQF;-Z2j=UpOHj`9M-dJK%s1OJqO?C~lINH`XQmtkHXpsty?hp4?Rb32OlFF}& zZCz7{mt46Tk0#ZT)|A`6I11{td90|Pg85{czWZ<9?>x6Lnuhg2mYg12@$kz!E`4=f z8)K{6A?=KNC;Y15*oz_H3319Qp^U`IpWNBrf>R>LUedip!O&H!ujJ;9?=qZ%h>$kI z$L0?A=hEpul4E`PeGEIAF+>uTw&-@DZ1JMonaluf@;Z0x1-{^jW9z292Okhe9PaP;TXPP*x}^|;-}qC67uTc$)tfX8 zLUb$ZrpKTq1&xEWwSQf=jS>at5?qj#Z& znxIGk5PA3@`EFCgwX4I*o1_Ns{$7gYEp#sfn3kVL$Nic%!EX2^33DXbRm)fQCUSA{ zy<(ihV!hDoh^npL0rv+OsB@}3OoTcBd2%`**7=#Jkn`Jsq>5Be4 zmE%Fpj(wRpS=*~Ai|wy&$cg1Gr1B&lUak-t32=w_FKt}o6lYcIR3 zxjEWYG}+KNMDZwsJmR%UuO72JQE!p|TGl11IIA)ZO&D|59}8}xi1YYwmN`Tic%+j@ zON-bKW(SsVigMrBCh9ws=h1K?S)h;s@b0{#CE5}pAtC?wS8qMPEOd1A?YG=e`B^rx zUBK4bwlO=+NIphg3gFDVm>&+oS#i36&zf->V9sjjj)lA8G8~P zZV)KWcsoCJXCGov(ttw*sRauoryMK z%ob>%VN%ejHfv#m^4Cf2c0xzXsO;!7VzDreN|O|0%>H1_P?Acs692UCv}*k|uv|9o z)30OQm|y}v6}i{3m778~Ij9SCZ!pNwc-^9}^vcCZg5q035&+ILQVD;FdJ4T?uYt$CTGAOVKe{i$k%0G$ zTo%E~TF&LNVVtF}6cqU*mRd%e#LGy5@~t3*$})D_eKiH!KKdgiAu0slgSu7`Pe}`A zK|zXGzMpV@pRBSaOtaHhxL}t^n)8O7-2Fl z#E=q)-lnX~1RCy61Jn$1YCA~3Pq!>Gi#T!+_TUbXfsv4r6({3G|8-nJM`%;M$jU)= zQjFvruqEJ)mPb_zXP7ruSPiB?A7T%cT0S|U|3YpBraf&5EO=ZQjUArvh0}-0@pGN% zhJ$k7hZ+$*%q=V|1oX*$=n4GS1wo6_GpwF!yk>}HFO(GtAZM%iNvoRggM;G!EEqH7M^_x)%fQEN_d;9d1A#Ih3qw1?)otWu< zlaQ!D@FR&J^w>rkRaud@p!!^XE;aS!uLuuZO?7!yd*>*gihh*jp1US;5TW#?;PX1> z8Udf{z{tKDnc#Jbrer-WMC+ z|AyrHIQzKtu4sne5u`@9MBe_UmaVmwZr1#wtZYE^elXdlO)m|@FTh=?Pid6+vgi*Y z4-_lKugD<8O!?|z!Q?cP(UWjTCQAB&h3fQhTZSf!?h>ltSP@zdEj3Cf^CipH>0$=g zmM+33vI*7m#p2Skm{&8H@bJ&yxjC#?I$am)U@VchfRR1+b0|PavTeJLH>C{X2p`$mQ1FBKf%nKnR1DJBCA#=Tc+uY zmu$H*ey9;O1G>R=F$WB>Wlq?teaBX=Mj#k6taYJZbxx;Aa#`RE>1U(vY|qHe&BX{G zOiEfvo;POGWlCLC>Sd;riDw5l9wP^a-}x-hF@YQVR9fjDPkbdIP8mu52YWfYtRzOw^fOg;ytmX zXoShAB_d5v z?Ta=NG%mM%L^lO}c8Pm?&Bp!up)UoFg-g|>kae%_D3`{?oQb3sPPeY{iF`cG&QD7< z<1?MDd%d?JjJ;9O4%=9UA%w>%E%HJP&*iEX!hcKm?sA8xr4YB$e-%CLYl>UJxA{&d zd%A51uEu(}jVHF3LEq2BsD&UWVx0f_#48j>rKUW~g`|*}DE%IPOsoRO) z?t5wCG|6jb67-qB@aY%DSlz@IA#-|e(&Nh5uIRO^rqQWK+JGF}m~}Y8GeFaL`w4g! z^4uXmkJKBWehK?MVbZUvMYi>AxX4`FbBEZo(Pap!k$+U5(jm_-->98WE|R1%51yzU zHf7I{2fU^lHfR~*im2@4hntS;EjFE-Nb(4LJbZdH3JJSC$~!y&gct1S*?D2v7$*6# z+o@GrteX_=)|!(9T}qpW|2dR6>3jxu?Jyf3kHdVTV~m zc<@~c1ALHPcm?a#!a%0JAqy(z&sT7}ATMtpV0I4a1}R<`Z-Zz0gxlF55!hp<%HQ$d z?YUtm3X3_SA59o^5eu|T*+(t0sOb?(?;>L&u1(LSC63MU5J72K5~pS)O=_~v$-#8RoJ!>h^K55^z$y{fT3QMQ+uVczOv`$+ zC9~*h;FMy@1UEHClUh?{WbWG~l`~((I3L5T;QQB4%9eY#2@M6aLdoh1z>R){_moK$ zX5*|I4~v$D@bwjNJ??aHO`(PE){`(wXqGtqbQv?qgC zr)-twohdk%7{<5Hk=R>RHm$28c+97roSYCt`ge9r7C5iRf#ACFm;90j4-e0=1$X9- z>jo?!N(Q-zetUOv;=tYXrEOCxcNfxpv`nEVkbAKNs=brTFG;rch{o_1VOVqg0;@!HAj$o7pWcE$J z?5!Hd!R=&dkYoT5Ik@tL+D=c81%KhB$-#40kCc>@O9Ao|pPs9YfMAdSJ$&y54jK53 ztSnRpwJR(i7AsYII1ploPhOahKRr7a=9Dm$gEMpO$>X%wop>6_Opm@51lkVAP~b1K zw;Wm@Pa3v8bfgNv1vWM|_8U6`{LwZRucp#u!2E-@*9T}fB4(T?5nK>;p}LFmodIT; zPEEcTpOwCCMEVc)Tj`pWGXO!IA)kk&M4ci^iTt#_Tjey+fQ|iOVz`@NO2m2PmN>=2cD|D=-jyU6`QW4wVc-gTTcF4l)W)F-o*{ zl<_dun-j=cmE_>P%s4Odo0jfHTFRz$OfRbrs z?*;%ueS2QWO|0f|Q7w4*$}Y*En>l9OA3dx1afi>_jqojlJP@K^5h%Y{>b z-44Q*Ks{k=LBqR$8&CL|KZ)*a8v0Utdao*=kXl(SXkR_6;1EfP(ooWTg~I@F!cR}U zGZK>*7Y=@ZErD|ib$!-#E-rMGR}lEIOD2(I2uj3T+1_NieM$ zCvH*AL5XBU(SU2Zn2;_iqV>R0Y+KX4g?!I$^Un1ya3iJ9h@aA8Zow{bk7|PKH&ePS zLeY+ML{ZuHUm$z|@T%A`o4-OOIb-?UtBk4p|#5yc8OprSmAf!B?dScE`9%|b`SI2wMy0QQ2 z5No4`&Wb#kCXsVeSst<&i$r4Jzw)huJ*~cc?0BQJ4T6#-9Yqltb?r&%7GTDz->lt; z<>}EngyOKGXkWo!aVlP==3m~)zwB~0spLjq?W+?-7S2@8?QOg05&8^D`1OlhLFT3K z->p|-^;|BPhgnq(B`5#0s*^7l&QVPqChg^v55tb~HV@yNfJ~ibL+6Ie;F0EUN-uJhB244_NgDRBjfH}Sf|B_vs?LIkYWs#H z9t=S4y>9XxJO{zJD;}L;QtuZRyRWZZgq(x@&YVOU4r;dF2kSGcH5t2AT-l@x=P+j^ zlE!gVMRkBvh~E;tQ^&{8ufufMx#`G}abVwuM(}M6@ab84czAGU{D6)(Xg9}xJ@ylh zyWRKHxQyeQJ_lI3>7;VFPHnqIZwwjEp~m&vB6KnSCr9XJjOsUMHN@V>6WOj?Mxq%} z($&9Hdw^ikxf#H_moA*t>3@Qs5BP6kL zyk!nD_<$GE+si8*RXomvz)D^>IQLV$a$zp&Rc41Ew)iv=vH+#%Kv$bZMk@iKV18uK z_ixR*{R{;g+)gQG_-FUe0KHNEOF{9Du-mt9@B8D}iiBDO9R03pOtkvR>S!=f9LB%# z9*NO&s8ShtOg)n1Hu*$N{XDHn0iVL}A$Zl#VP;6+1l0(lbV6?YBRQm~b~r8P*z&S$ zw`#1d67{TCIEUy8VJZa*84u|oy!*u%X1!`ctmemuChaApH_)#1K}FpEWC)$sDYo8h3|9#!<{8 zOf0u(9R?kO=ubUC$Lt0aA$9R}!=oU04#)NWC=;wRz0Q z1mC0%L$c)*=v`@5*@&2p6guIzi3iot7aWC#;NRoH-2Jq{CZCOZw^s5t7!d-;P$OB# z$H`&RnMjxTs=d;;7ultuW};Wk|C4QJ1a^0Ijy9eP3xS4u4w&T0Hu z4cRqUmu47}#W$AdnzSnL$lzrDnY@?2iV$`yvI#~nSq;$}x)&HN-2k>h4Ky|l8AM_V$wvWo>NLPUs*f<|=a;yXWo z^Xb|>v!{{T5+pQp7yBD3Bg@jNAny!(M14NV=ihAZ;Pv}eQA#%0c?VDy9i0%5py6Rn zXgR-4b{GpCeBxqr_%WQCi`8z6O0VX_0k=GQ3(_#Iy2k8H3h9U5wv`9DM~NtH^K_sz zXMJ0|@?k-z$LnSnICenVOytuvrTl@Q7%)_0%Ky+2se~Z_A}^qct&YYDd@f1K4R*9Q z94BI^%`C-InXG9*@v1H{)&$_>U4cFW09I4w=i`$}w5BWeX#8vHBqF$KzkGo|2Qzk+ z0V(0*<>joW$)IlRT5skH*y-)rbOeBJb1y#Kz_iN<>ms$VV($fP@vBObCEoZ5?$ zfhY0cpxBg(?MsW+uOJ8j9xI$X2INSZ&LwPT{a>&?bkshPU_}eC)~GGZ4388m_SScv z!a1-_7z}5kx?k?N|E!n8&f6R(S$N~+2L{7@ z4YBPznezV8i#9zzECE-;3pg(vCBCYbm6XUka`_}MoD@gEyk|0)pV4FUzm#MWunvguBGT}B?Aq@^3leXQ|x#z%A3UvsI^(h0S^ zuchH-oJ367*Qj=80+GEfWR+u{A_U0fs42wc%ei`0{nO{QuywN5A|y>QGZTM7aM{?N zT@s?smM(qr;cR*bG?Ck9qE!)(#&oE#UauK-NU%98?s2X8>Pj^Wd9Z}2O%5rvN`Gjf zC_ZTH{|?vt6;`>|L6doKdi>|xUA1@=XQ9(&{S8v(m^&6n%|MQ%{L^rcQRK2)*`*T+ zZj=DiYnKzP`udNhhgX~xx1U|REb}Pn)||wu_knl_iLDB>Wk+F75fs-+9SfM6Y)LI3 zdej1O{7<^D>W$cZUfI#`ib%Y(L18dx>oy%}Ai9+N%p_Cf6mz#|-LbL}m-&iuef-YE zr*uzW7sM871xyz+y&6b=k?{M|-o^*qm%l#)-v8wOdkuL1`S0)b&LCinFyIF+hI}2tLXDpLW7|Me&fbJlt}z_|@@L zG%q;_zS6g+QjSdl^{30w;YRTaUxdO7y}o+?k1f>bYQ*^;qn50dvko(r4JlBSnF3e5 z1Zjlf_aw4;9$1{=GKPWVMBvaW*Z;fiwX7fjVNTip`{ziVt!m}$#BHsGnIdbODfDNx zv)E8NQQ>kbPF57AUL^GxH6?9alv!RTC|fd|;uC(;cN8?cm!F6w*h2QKZ%aM|$ z_U0sZw3zt?Y%ee#RgETOf%YSGR6aqS0j0%220vcbRt5KS)fmI+zO3m~0veTk#)3-a za9&Z@w&{ls=-nvWUmWd(XB5$kxH0m{B|fSTBox>l3*Cz~o0F@_%bslw814)h*>*ju zH?Er7BWEu|Z)=Z|0kT~08b6aW8{GRV_ZEj$p-vg>;wnx(Qm%R-m*S5N&)yrBODKHO z0*)&BtO;Ck#_CAQM59U*Gw5Q5h^7e54F!kFHCjCNP*CU&?W$4Fs5zQ+IYIN~FSHA_ zgh6e<3cj*-LbtJida{O#iP^%aPGfYf5rh=S{5&)eHo0N}uwvggQ{t#EdChi8Jwp;IvaeR1*E zX3_Lt#q2v1kAW9{0Rp-oi?$F17x?r^pYHEX@ln|4j;-SS_GL9wW$LFz8oa!`(&a$6 zENR??;Sg1ScfIApqjTLJ^VVe0#4NRRVcfQT0D3{&+?n*#G_ZWP@J~2d$ZPxVZt?G( z+FeJZvE1NSSkJtkOPm1BEp_Bsa68pPvlSZFQ5%+~9LY$|!(Pat#+H#Y`Hc``FS*5P z8lu+LS*lnlR}}wu?as{1yzoG+W%9BDX54}B0wagv7@zN+ zCvzG&@^!&PzkdPxvE+7Xu5slVcE&FF;5kINOl^ zMCuF-gpc9bhQ-lp@CpbFK4|!ZUQe1F@tSG9FB)cz2Qs@!P71r-<7 zCxpH&yFYBE*!wRoVLj=)G1NTq83>VG3DT>aFGLUbd}xmsG9jEoP?oyE079u>VK&#Jl1?yv;=O@yga4IXGA>}Nn*;Fcb1sS8%s9X#>MTQ|HeCC71Ss0-K*Ag2dItAi( zt{k`v?8~tE7F{D0 zG)2DlVU6*#03RPTy{L$>S^>TES!SXdU2*8-Wa3bO_;?sJj{>({eB0;ZPz$M*z%zU9 z!P0f+8vY!v>FwLw2~s#V7@A6qlZYtV13gSO(#e3=xPSG}J*?a!_}#UNTL~+VHHtHY zzmzw)M2qsVew`kUIs!hh$c*ln%TCJ&4B!u{DH#MUE$=EhPDRyHcucEqC?#X$&vRjA zK5}Z4+LCB9MX^+MV)y9&+S;tt>q&(dk<-)v({4mbDcvosF%WUNdEo&(x3=KxLWKq3 z#zVv)({@QiBvxQr@c7&_hfPY5G**vWOGa1VK^;<*Vy(+jo~&v;K_&4&j;=AT?zfGf zY-8EBZQHh8%UE1kb}idBPAzLK+sk&VrB%=G|Ma#ueNOke@9X-Ki?b5T>}41Q768Wd z)qu>|B&_ktq?xgpK|{$kB|Rlh$&^T7JD&(kwaYi#nBre>fMuFAbWg7!jhFdB`a4ey z9#bj`{FHz83=x(2OFj$l?5vh9HycwRj=h9{fGUVqF*$Yyguv`0ZRi57K$p(%SHLFN zDLfsm@^b91mkn?|;b^|NSn0xxG^YDVj;#z4xYBRZwvt+PI?#1D%cH!i;lK|MK{X7% zl+;*aX@waJABlu#S^1o6aN+WSS4|Dcz;kj&7uz7Jt^c7FBjOnCRoi{|w^cK*ySJe? zjvDfI+>KU{EvF=M3ua`LL-FFHrdHaGfa_) zMj0_6RivWmey6V$ZtlGszXibtb9t=gcoZsjF^P`bDfY5D{=$n}h8i|mY zvJGM}DpGz=ERZ6tmz$SYmIg@FAPga@)o~$xHn>dB8u`qkNUQuaTo+2q@tt|jM=bu^ zJOctYxA4BF08NLY|8~)a=5Bg?w)cOZYf1!nP`lvu&hYPlD;6XKr`}o*c%ksS-UQNa z5!*fzVGtlHz5L6N^+MBVcCjjP*u3Io{mwwQikhpSgeoZ1WI4tABOnzrBz=mD4h&zL zBQ)2A_*8D+FAq3#jyR8Wqu9QoAtzBvSurlc!;vWQ1PzM+zm^P-pE|2ze)1=mp}L6v zzZ;mw0?NvZ8+zbyf>Y-gUZVqM*NFKxm z!qvX;A3TWFW?Jd1u|?{_OFKZWvbvU0HxbQdbwz9WXE(AliZmAwPA)=;R}P0^7BRP{+vx+ z>^aT^A4x>|mM2Ba9tlyw<+}V}(ka<94a^Kno{H1(ltg5;D!5{=$HGGIiOuK zg>D3Xrm*kb9MEN(SBFUWy;}cEV zXC=@HFDKrr&#(hN*e>wc1haSwxhLs7817PFYk#D$fD$v1iWF8{gK z$XLELGv;q7L7~i5mOB?7^|261A|MYRe>t|;7L)myvjdv^AoV#j2vvRAX5p^GgLIL9m(ii_Pbnf#H*T-y#UETI@ix}v=zG#jHOUZK3gwXz(C zG`IDql*(gyZXarYG`LMqV@v$eyjXFlouwP(h$5J@G0aqCK8VEaGev8c)mVX#0|G%g zzH_$P3HnhqoTfX;$6C4BE`0@yJU(|~@+$7878U*5a+V%Kv~4=SO4OmLsP3kQqde*E zn(4WCwOFXO4N>hRo%7*aE(^Qr(23;HUK{qHNQc&B20En>{fOuqQht>y#C!|bA{}t> z8Dx|Va}=-qyd>vVJgO>V2X#Jz-&7+a-G_rRML6yc~d-x&^A^hQKEufx67Rx zaW#)zwsl(zx^B!qwALx2^+=3kgj>aFSk-cl`z6Z-;SPKi=e(bO2Y{OZT>BTngIsc< z(&86j!vwky3IguNyRUm=>$BGTnAQK2r(Fm}5y#ztjbOx%>1MY9Ii2x%TAoIz@W;hP zTuoLNg1M#wK*JO$q4MNh0>oT=<`Kv4d%>;mCRbRlPuKuJRIp?)%ISC#g`};vUjlW$ zkwfO)uf0b5UNd{H(zsXKlZ8{^4FkMO`?t5Z7EP|v9BYEA;Ur(9Dm4{4GY6rq-2?!y zK`YF~fk6D{-ewH4`qzA1F0GVw%eDrYB9qg*cmxneA^0Rjzlgp!t~ySAY_{A!gw!ya z0nlWEyhD(Ikt>8T9e7;jt4=lbXfwqAU88aZ-k z&8ZzIwjnA9qQ@*=;(;^*LA9Ln=a2WkkIy|OKwr00$Hv>gV^LN5-FZf{mi_(xi3vrz z{W?5EJBCOkMx`}?GUzdB&|#!|;s-@h_-4i6g`p+OwMsD@w@=yN=bSzNv9;kLNn~?7 zc;{6tnY;P>7ZwO=)I|s7*o5#wv%Sfk_<4A6;vw&7JOCQcjwrolK}+pE8~f0}8T^I6 zME^R?(_VFdxVgH5T*4iDNV6O#Dx+&<>5>pWp2kGGWPE*zPZROF*9FUieSM>Lup+mV2%*pffsO8r)S*hbQqEjC2AntcT5nX08sEFzqC*zH1`sJCAwbs zs@dY@+ZIOSG%+1d{kc2odP&b%`Fg!+TTU7fB2l;>hnM0sg-@ACY%pE`D zrqQI_A#Vi3d*10C=+WBf9Z+Igwf?&f`=fdw{=`#_rDhL7nsQSDx*6B&&OZBFEt|<* zmRzAQ+zOJA_5Co{ew81{2HT%1}a}dPWH#De2JO%UQ+-?IDohHz>>bFojF@f}x z+y-T`iN5U5pHFh{P-Z!YX#~Dp#z3WX_lX(En_bC|f|YpzFJQ%7w-wi?9cJ zxYRk1!4V83l}(s?yqKW|zMi@Q24zlX=mAANvI0713IX{x+afJMt!xg%?^^rB`yS+U zPTrxY!taIgv;O@ZH4@SqPMr~(R988VKVug0K#M|yI@mY6eZ%C;lam?RLLZ&(KArSb zGxnM6IaVV%*xP-4T?O!a9l8wDg?o#M=cHUFBv}z3GCUzfmion)&7eWgTsR(C;c_Cw2Hss=OZV z?>oI&Ij&k`v(CC#Zm0hhB~)(hyP>m?S8Q(_v!MG(w)4;R-6(w=CRF%(*+B-0{sFbf zQWJLE=KN!gdyl)fv=}h&sxj^uxdD8%uC@Wqcgs>TUc;*{VxGOy$d`>vTpEQ0*}4Wb zloMY*N0_`~Y}#ExzVmv`mYnFMapr^NP^cDGSErm5a?H3hSZO5vMQy9VS(+p6EF}QS zO(J3A#GGw&jukxmDgmK!#T$Zjv1R&xXqvso8gz?<{CaX?*Q9sheR+5Y6#so3vi8Xp zu@}sc3i*PFR@<2m5IF@!L@cIp9b&V~2e?JTnc<;}=hoYMIy>>=zmd_Yfk=soCEpS^ zL^Ty`)X)yodRMjnJO}UyvbCIgwy)I!8(c!7DnM!F?1c^20pt|~7hiGb+rPT>C^OCR zDQEM~dMHaf5M3X=rkV;1r`XSEuWB#v>TZh1d$s=F-ZnPJ$Hxp%d)v;6Gm&PCaw7Jy7fyG3b`--)(y~;lWh(HxHaJ-G!c*-M#V1G&u zFqZT%VhzK*7Hqvi^{|bqastoNK|DNTM2J_$5OaJOvZ(zqSH(?LP);{Rs+V|mNpt>E zM^feV6!m*rmw^5E&aZ84@RNL)NYA0obaiWj9T1XXN=)@J+l#F=FWFiy;Np!$NBsDG z9Vs%nP3+SEa$mYy|K;p@B#JM?s>7ggJZ9vsnNzf?8kx-#S5z?dG85t_$5=(-v1ssE z5|oLp{YVC;mL~+U{{I|M8UjK>0e>&_7xVzs z_I0nB06h(WgokuXnWsf7Dk{)OMW~3_Fw$#~nA?$HvBh(Tx-pE@x_#2_@1r zX=KDA$ki48F@L};Go{U$r7wuQm1_#r*<(NN%J(1j1>B&`r582%dDrG(EVxn3WElp( z`WsgG?G^l`pn#1?V`6Z0!HMJ~_i%92$E%#P)KRjMmO8FTRr!bRz4jZ9tdb?o_RSsb zC(z64m@lOygUU15S4IM2vz^(gaECG{Tio=NsLz^MPqAtTZbi`>Oi!<%IW8;z+~#Z; z@N)yVsUmt9h)&=rCtna9tOlI;N~=_u;FGT>FpF|Qc4dsME{?2~VxN8AtwsQ>Abp`6P&()s{%U~3C!~<-W7Da>8LBo5_Jdauqo&9&sLj_1-46H2He7x{ zRH8!i7+KF->Xb)(Jwhc;^gi}ZrXU-WKN-eBIO70MZASiVWp!4j%~zZY8jreBHp*at z^{iFOg*mTj8xG8I_%x=Y?i^mH!m#YK-BrJ3W)!`@XkT9cvfVY%&E#L1chz(jL^oqf z$6d!rLf4AJ;nKREt#u;CxWeb_vrMG4Ieomnny^us8!BKsk0)o7J?lykPgM>&inFyQ z!*$M5fRK8dU#ei{C$Fu{t$VV~_C=m2IX_B|*%9aC8_R(Y=yA;>z!!$>x+QS4g+xCf z@ExiEL1s}YvpHKB9^Hx0C3p&)KM?$0lIQqj$g2ze>3kq;Vb}GkBlxugps=5w>^QOj z^dXo|QhEQj(|H3>ZG?aP2ILnOtCN5l<4aG_-GTh{^X>jvRgNr#Fkp@XnAZR{JTb@D z64Ez#P8jLl&d!kdc6)*rR&EUb4exGzR9OIY?*OtvG$-A9OweE#69dR)ve$sM)J`}N zO?X26KKF0l+E^mszWe}&#D-qodg5EC>5B%W)?-5^F5ZeEwyuc6yhYxZ{xXm)~tp@xA1x=%QBtakPe9il?)JCBhUY``4Vuph%%G-&!JFNrn>cnu{6R?%b_zzs z(Q?_pT z-b?7+W@z4d;(g&~yCh2c(V7rT1MZ27&k|fI&r@R|4X5Z0Ql4m%nRiS@(0?dgKaWCx z?s`NNbJh>E>}=L{BDu{wZ>{E6As(IkAb_j-ILelj92i$-URhOJQQTI2qz{Z|)Y>=t z+iGK+*?Fpm;`vg8W7k=}SxI3Y>o3-!Y4mdD2j^cZ{iw>cPB7M9!CE&Nwm+KH)hi}& zUTzq&_w6vneUF-~2Owf{qj%^SvqEbNxt;i-iRYl=HD{AU>W-J<1sFP(m80VZ6{Vjr zP-}_ zvWKy+JtISRw)5fg@^jH9Tv?;*Cvd|_#D?x)j}MxT&}=}a;J>C=TixA-_S{0}a%@7~ zb9EkjwiTseVR}{Om1;VYoVioKn()36zJorvaHwgq|09Go=s_m^x(d|aZ8lDm;wGEK z_-=DsL1nH6(|*?`N8?1^E>IiP|E`b&jz7)hMcHar9} zo&gpwR}+KBb52uXR=%l3hb2h8oe;DuAvT0UU@rYQ@M~wH$U#_0NQ#7tDx)OcAToZ~ zP3o?H>Cj>K2vC6lQc-}?`z`u${2_E40NDRFE&)Ma_TGY=wZ}$#=LBYNHsTUcsowZ{ zHs|T*H~u-fc@X)5xy*)(;3yXuv*`8#w~Qgs*#ykZspEL?LeWQ2)0In89~F$Zdg45i zcwx(P#Uvl7XmMlzc?s?7CElT9aX;!(ke#uD0nQ$1EeKqDoRpAva8iCP{yhcBkvR4P zW%s(O=CxrSGJ+XHi;+B{b_lv8kXV{-1hZ;`wjiLn;wW%E0PEMI3aApd3v^igqzgyl zMDQE4QI83L-^Rxgu;fxp#RVb}v_CI7$GrANi^QD};^E@U4OoS31;76TM`xuxC1V)a zg_mM@m`^M(IkAtDIjq;Z-VkZ9JQnIlm#Iio6|N%;Ou5C5g;n43I&ejH$(^U_FOsPX zw`w)AzsTZaTW2d)cd{mbf(bKnq7hnJq->@i9xr13#(3aff^Si%?27mX4G#?y!69&w zOt$y#W_AF1%AqgDo*cxrmx+y$YiYOYzUaaCFDJat>Q$ghSaMHQdG<|`o#=Rko$k)d zmwokq zdM-BSE@PU^Liu^x!Fh|tiR3G1DSRkRi_pBrCTNelPc8ea2&Ut=H z3oa-qH2LyS21(iv_b^9Kk`7F~e)B8;iM#Mf+|e6?{8gZzTjGsZ4aFJLr%0q;?1%|F z*&X+1F??d)fZ5IcsV2p<>HA%VSsn%$Da0{{-`1+!<_0fE+tF3w^zYxl0CgF~tb>E| zYh(mQY16ZiI(?Y-=c~QD2H7c4Mi@6nNj3hHzrw0y?rCq&f(@^KsHV$%JLq%>;8o!P zc&t(ES14JLBf)}>f%4sl0|@M)wWRtoYk!ptF^OylLn67_y z=$5CZ;_nU@WsY+(3{zvT>C;VqWotI&MNrBL^}F&xYe-&~%)!eqs5uMdO&@y%LGp)N zH8T%5NM%nZic3@`4_k$@EC08j#W_+bq*uV`YidS60{MjxUn+m@Rvi)t%ZJH>_(G^~ z{mz;y`7J5Ij=Z|c4C_>N&W7vBeN6Ic&91e@T{Renh-oH2wJTC~#oXi2iyEz^J+u?V zgXjAc{%jIrP3lQE)C z;ydg2iM()(G*R2ZmAf9hZmFH`Q2dON|A5NfT;D|0PwDZH4=jqboL1A{;4b-6fl1=+F5Pd& z2I^cse*i$tsVS5}KZLH}mx^GA7%yO;dIBbdWfi00*k?#D%FiU7X8 zLAibJ=Y2AXKj=U(7DGdkXya7Q9fmLF2GPx$b^0vi_%}%FE*;J}0MER(1{?-cruwM( z*T1{KPHU;ErYtJ73^E^Hw8tFO+a@Q{J>E|gB|(PmOwRCvO~L%tbzFn?VU;Xu{;1>m zOReXuvXxKZkPbe03GS`q^2<`nN^{Su;Bj1Lkdis=IH4C1Qsasj$Jv$ot5EIy@nWq7 z9_y{cIS`j@WQcX?l+n1?2eSV?)EJQV?3_dD=B8n`K+(TbcOb^2hPil5!^4K?qhx;i zf_;+H_qMMM9)2-ony2~&0Kd7-oM@a2~{((IkW$_y{c z#gQ||QiIL+Idi&?#WX85mr9octqtBHf%?Nv;mwc-T8ZD>ODhcvtTgn$-W&y&Zn=aZ zKmu(gh1GgR&=7?fmc&!h z$_qOt8RERHb6?L-PNMh`wYTRwruOJv8Am8(4l!hFfJg5yMJS#85rqStCOP8bH#Qo~ z%@zWA?Bg(cUIezX{8)(W6C?(YB(x|LV11q%Ok?}XVKP_*{}s!5g9MnR6eU1GfD74( zjLZRL?B%2+F(ENAS^FBema2Yw%_iQ($TK#N)f=5BJi2;?Qw|;&0Gev+RDo|L^$5?61eu z#ga>aQLAjFWA1i?_)>&nyy5Tt#v@KoqF#07J2y*19H_9C+~Z_V0;_XB?06!=F*22! z^4l(>y-oj0|C|yVBC8CUHJ6-l49+Om@ehMKI`@NI^K<7+*w|cn9+L z_T(d1zM6VQm%Ow`G^xwwp3LnE&_GQA zZQCZdwhaHmQkZ-*la`$rt!kT#C}|t0s}h9&@j2=fAvJi12p&;EZ8Hot5YCNWZQD~o z8s@A;Ljf3jz^hqxcFBuZ;tG+9egpRnIyI^y&sH59fk0RWVr1V-O&YH!lT8O8e4olP=&{^nQF9Y(qEv<{2*R?d8Qy5dYJf;fvKIdDp__G3+RB z<8eO=#Dg^{?xlaj7ovY-JJjgw#;ua;5PUC zRQvGS?6XPW_^(vE=g+iY{g@0S#=h#S`u(|<2|h%jL4Q$oj_gKzYX{GW5Bvbg(`dgp zk{)-Zw$z<7BHAB>Gv2?SFlSFy^zi)rY{tgN&%euVc765l-WwtH3<6@6Pg;L2K?LU93AZZ|zSe?N=%ulihcp_#g}a;$n8+ zBJi#HY`%sbpMN4DJafkj{g$Wj(gcKZtCI~WKb!T{KA87OEWW|OZ>qv zuTs8n3g~I82Ub-W?VZ(fn~7i%k8st#ARHpLF)6(dVe?`KZ|o(L%EqQh9mLyepSKX~ zgbjpsTKK|;@9?Xm^FypBTVW9vSUNPh?%(3MfCPL+3f<%aU*@IwWepP0jDMqfA9Kah zbjs+XFR7DZYvlkFVZYaKkkh)@&_6SVQ?~9iZ8CH&Ek1rhH_CfkxCoQn zP_7`B??sibu-S5+f%Q4W9Vs{3tU-}@+fJif1q=!Ii;;IQ>sSxLu4vuv;&{Fa+LInl z)kBn^t@5_35qh0WhTk=n4nLWG=hya~n~;v<;HSC%HU|G{q(|jEQPJdR3`ACCO{QWq z9}lmBo}9Ad0tm1jm?%Ks|C3ubaKXF#P+2Bt%BD$=OzTr$ety2h`M)vIcMK!G;zjpq zKqv#EmkLY+1f%-w@cYV!78{+6J3Byjgt$4oV5i0V5pUnzp_~L$t)#-T4PXnn?AvT9 zu#C2+P=C>IK5MR4*#ev1=?f#FcZJ*mW(yY;U-KfGT4B4jGH{D~tt&dHxTJ)#eVloC zK^7exul!=c{l(k{{r8UWXN&I2>0}p6RGJtE?9Y0i=D;OzHPd3DTU!^KF?6zXa?@gU zAvX93Nim2G0-1vLzm5xnuY$e+f*$~CO_OOEv}l?YE=MY=nWc3P;Qm~Bt?JhXU`Mmm z$-j2Aeu%r@Lco|%))iCGjtd(th9~bUrMzU~OtxKQDz}hvl}ptd3jgQPvzQolUP&)b)Vt#^tsM_tlFAu{=zi|5 zt0GPC>@_ykifLT~-T#H|E2Bc>YVQK=!|l~YJq9ZcrX1vy^0Kn%`$1RbJ3+;c0%^@9 z!+kW+_QCH?n4`^4?tWZb+c#QpQ%lj|Xe-K9y))lqB|Jb*6KU+PBypGH5)wYH)8x+O zYk;sJqd^FjhYAZ-sOeh|rR>%RA)W;-c!)Xo)4bzQ1+)`iZUlm~={OZw%p#I}M@n;) zW*%hD9;Ogq5pRCi&kQOSX;1AQg!QKtq3!hDr%GKsUDQAzX9N4=@&AgN#RJQAU?pK< zV&D7v`ztCl<1~4q^nt-yQ#L1zWzfQlg4aKwt^-OTMk;}5u%GrQ3J{e8U;}e=^#b3N z>6(qp(TiBUPScN<6(h$o;@7#w4x=ln9Jk59g8MZHBc#;vgQKHw{v|QgFEV(qUcz^| z5|Gh;nns5i2C;9M0U`yK-Dh5K34gV_HDycmXpb+hper@3&UK9p9#{WrpXAi`2o(Zq zdIKN_G*)>5fCrufP-hhN+yUJF=K$!&AM)x#LuK{}0P6!zL!Oi|mW zIWSSg9)YBV>5S;5FyH2bNL%Hauhu!M(3QKuWx;enph)8?0!aB>cp zDUR6JEaQf!sM9^pVq}!vt|~6MG8m8TH^NP}CzsE?7PvZj@D%9!BXt|!4roOI=^i~b zW2J6ouP|W7peO%>=~iNr6#fhtlHz*z`Hv&fNG%-to~J%Xxo^3>ihLqAH?qb)+Vil2 z7c>pi*{V{a7pEFcDNY;4pCvh->KX^znZh zrN(x`VL2C0z~RIW#Z>7bMXOeujlFx`VkVsFe`?XbbxrTRcUF{s#h7jg^s9pgF*|Pn zS0x2KZ36qVFNL+uAAot;_3j2p!kuv?dcdd)Xz(uxhY@z(e1&?!;IH`DtW`*=(t$wi z!l&2~;D(aZG~ZRAM*r@gadiT!M##w|T1) zft8$$^L=i(BV4H+&?q>F)W%Bb8H{stB?YWj@j<%bnksW#IrS((UF3#Ys)vG z&W=*LvV9-xC{D@=1Lx!t)ZrlDtgvYO$yPw8i=K7+9QMlDr4*+z7Y3BD6eHF#-o}E6 zDDS`6JIF1w2`gT!6y}XS8SwK2sbWv^cR6p=62cgIR3qFy7f2Q#4vzhKx0flTU^-HX| zaRxs}_#btk-xcN2e>r6RXQ(l!B&lEGlsfKxSn27l431fqulV(FW?njUoNrAnQ`|+4 zlxS^JvxJD37#fdwoF)cRRgleo58%kM3$;v`Lj0l%GZgl)^84!*K-vmNUwrbr4ElK8 zp0VMqMV02(vCB?~G+f}~N;I5Xe+PIIpqNY-a9*69#h829z@nA;lWbgZK#eji~%fG+*lwp4{#4j_QZFG`{_3z;J_uc*Z1Nt$kX4h?{6xj z0V%pwe!rx3A@B(T$)iv%59#k}1rf_#06gIxe~!?o=@X z?7?wuR@WM4ZLIub5_+Eh5(oMik)em2s28O+P#ibR)49B9WvuS5M=Z0=^?)TC(=6xW zMCFB)h1V?j;^_6yKYzdRLG5v1ATNq)J|nDUL*?c7Wh%Tw@4!UnN!WRmz?l;i)sUL; zQpmhDOqV2I!}jmrg8>B-!ksN^7l3cCQ=RyBmrRN$G$!CDnh?{$)+tsd)iFe*R1Xw> zTjwy?^+UiBw-AHzFGRmi!=puF>y$gj9ELGVs*#i&_L!tphBN_s5*ESs(H}p?3{eXTKx44-HSm5;mgrx>+gd@B8`bmkKIsQAbS6nY1B$5_s#)US zf6DmK^+U)m&9t;#o>UF?TvVk~ryi4eXZPp|Ums2vDgtygF?EQ72iVl8rH}!iBG^?W zX4bhXXShqhbhC0#^5G3F=q9Y)8A!D=x9NMk{QNkX2m5zX8*9fJIAi7jp0(6|38V(p z+R<+8rKfc%$dorVOYD`%6CDD6-%s{6noYRe53)kwNGTmdNp%`3o$geUp83P{PoOK! z#$8|k+${1r2stelU48RyN-{iIj0Bf%ci=vD=KYz8nJ+^z3Va(bX`|wySdoT*F-F?& z0;va$Y&$*KONC0sDI34M0Zm<_Q(?2p@T4o&ny*m45)D8I6T(Dm5<(`*6)2&9Vd38) zF5elTytJYul4r=;U*&#>#9qdMWs@j(9_av($r_uH@k|0A6aQ$HrK7_0^pVJc0}_P8 zG9tKgD_^q5cE0=&FCtt@3ylOY;vc5aNDCI(jkKPV8vR51edxAkO2vQSpFO>s9P=U~ z=H*!Y>aIaJ$-Zry(V_eXb=y(kZ*ZIvChC1TwUD#iBoKR@D3GZ=j{8k-d{x4VHV{u; z_cUXvoYba21-STT3nR&s4X5^|KEq6qOQWIEYlIK%W9VAkIsxvhfcNL)dYH6wsvSd? zj5GD4F_%M6RQbmpjvk|M}IM)F2^X{Mff^FI-0Mgpn!H7!qQrJ`3HAWz)45>f%dZNcp!pyd}K zIcO)KIwp@lYG(~iTJHPsN6k{qsM_7ORfMMbPdTQl$x#&n5s_(rfZ;2##zLC_qfW4E-nsvuFcx^`(GenYv=88Ta`Ng&5o-J z3|2pc!I!;cS8UgZ6G+Iix5f53_4WeNxM;}*mxR%-wh^}*unu&Uu1lgq(ZeA5Sl}2q zm1!|BGX3#vJer30UQ9S8-8CxS0Q*NFOt=zuH7lU}Nr6Fyg!TMW`R`ynHJ7t_1Zw){ z?dK8wR{Lz=lTS@e1?+IYBGl}56NCRzwlU1wvf?701nxe!9QOy&9=`9pJuw8;jAgM} z%7NOyeygX5X4Z_>Ls=7Wx|S(^y9&mVjcOuSodco(I^k%(WVaq_VQVK8a-MhKSbXIy z>i`{EIJLUelM_3z$S_+lY~9%5|G?+eJgvO17FiMb-T#8oE%To*0)VlNHzgPXFnVfV z`(F*d^GbkRsbd-7pKfn%Zh$Ko{!5b{m&I?G92e_X$j_nQ$nkOGN_XDL(fS`ohJ}f@ zZreFH1%-usz+m%fL`w&I|a{te5 z^BwX}HK7)w>r)gor)k8owGmWxiSBm$2AoK-7hgQ@Gy<}uCHC3qCb!2MS}`96`W#Z+ zJ))hYu!Pz+p&mICMe87H!z8$1&}7UQ#<*s`g+LC=S=B&_63CW*^-BN5Z(EAutWYj3 zqa+7P#zAue`7t0-8w+wQp)3uF9oD*L_(uy=iXFojRd-rF@jkXdP=ko?O^D605jKn2 zJzUsVhX&wA@st1a9{5_9em!nxFzzdUs3qjGq>(o$O#7fbCA=4J6hKkS$j~_35+YN# zTF!HlPn<;ww>LVwV$jwQ^-+_?f}8I+$w{)lJBU&Ct$OdNo!4e+%5 zcPshq-}M25@li#|iVXuQ@F2%^P(kvaP0@oh-7+Sq>pK;K7h(6~E~fipL%@N)_tF&ihEyd~x5`7gOh` z_DZ|IFA`sJ;0)O8`Uf=%8_%sVZx2abA?4FDt3u2$>ww{SX|L&b3rKwa=wG`O=U&K# zwdh(Ez5WAaLCm;FH<&;9!lCL@$nQ_&y71<(y%>cC?@gvL+j2cjm~i294mz|{>1MHS zWhQYU4vDyNESxv0w<9U(0&AYDGjvTrPuUUOe}U1e!&{QKAeNQ>T0(a#Q{eVE#e$bD_Lhjwpv zcEqR|g}a14@bX(Oa(3L1DSaq^*qgAC|E=tw6@$Uv=GwE7#A{9%RIY$x$mwRXv|8Wn z;E#f%sV*nN3xupr92}Wf$mY5HROT={tFmRvi+Q<)vNUBdk^i_%Z5b$fh;El$dP3VJ zqvA#q9WPNRaNEgFgfLfEzx1SydrVqaMQN*EBVCJbUW_I{`BS4Um_MMg|$#F-8=*UHTvCE`u_mv$P>Mv{Nd)QP%cuq)hn z0%V$%ggwIhYU8SPpkIwe>=7AZScMR|AWT{`YVPtr5H0Hp?#KNo=D2+Z_|B*OM2HwbQByD@`gXqnoPtMd|9_~ldr1s2mEYgs zZ{EEuApEP5&sXSUynCmL;fJG5VrKXob#k5d8|qJ3ruI~FyXNJ#k2@LZedzN_a!`Fn zWB?f~sc6s-xJJ~w?RU(8i9>&%#=a>DhS*@Yj!#0Y(Gf+~&m*is=9tXCzpHun)T9Ve zlL7=S;N;~km;vG&TyqNadb^%7GRk8GZDWw7jm5U$&_Rz_ z`+HnJSg(f&<4p49pA=jn2EB`%i}7Mvq}f`8)c0j>vU}xroC@bN8jW2$4_zHMD~(;X zB`0b(`hfv;Rq5Q}OK<+@&vPGq7-gvSbi2kbdyJXZ7= z?Vi>4-TA+`6ub2G2D&^)#3vSM^uYDnYmQgYo3|D=0GZ`tdD2%3BlhzI*aXQbI9W(n zELzq;`0k36$A8l1fz;&w6F}a7`|sIPGpJmrD%>zRhZ zTtE#_pRrOjY(y38Y#!_r*mw0TZ(FA{k&jFCuD(~9X=Gb!pe_O21zelgy|4A@+OyAl ztn>bM-&mv<<#6MS66gr%eh#vK<{`|WscBI2bs3gSv2HV92Vasj0$go8E~r)PQ|Nga zkj3^xk7>PKSX2~l;OU_uSeOX)V~_P+qADS#?@Nki(+XwJ5a0?O8Hw;>54~d6Gu}w4 z`X)f`dks1Ts#cxWjK?4Bsp$z9?Um&v;L_70#E6KG?YKgf&3JP7Hws96t)H-?Py9=7 zN+yTwjIoSqmOiTG2OIJIQWd+%b;yEkY<{wbKDO?3LkjCN-d4q^MNNxA5?fG7;iO$kl7$iR}-Hdb3;MO&ld`$fH zUEooe+FMp)5YeTnm7oB}&Q1Sed$qe=ZajW8joIB%5vbQ4Dk<09AKN&!_r6ZC$z zEN5Q)rUNmUeGrG>eL2zo)Djk)_7jocaoW8Xp*dKz%LTjLg>Gyqlekl&o}Ta?sFquu}9?Fd)a5w-o@dX&C9&Ev&_f1 z?Vh<_?=8<=Q|G2?+bI+=L*OZj#QE0^??i)eYwTicebT}hX0}=2e);qw&@yow+Rv%nPQwDey-Mze|IpRv4 z=*u=X4716S^0OEy8vD$;*I0!w>im82JSXPLixGzUX3H0{WWkI)c;<&JA}yhY<^%n{ zWC#~j(j8t{$f^7yfWt_oLh138K!~3o9~t(~GZD#Ga3&M>1>c91u-46a!;aI>?Q<11 z+3c?eVoqJ=$cWI=EOQ?N_C{%n3o;a6G;9?0%iiEwc&>CJa|`_UJLNCuhB4$;*jH9P z#};nHzwV#i$MY{AVAAnV8qcZdsue{})&9j_%I4j>xH=IhJ-_anrC#Mkau(n2HaEQHfpnPL_BP0f}werz_&d@I$zb3kZBi}J$e=H|aM-980+awHf+h$g(mF(6n9 z5WWM}GJ!k^Pw`$AVR$Y#*K~GSHCz+l(he4;3?TGVv9xuDJNIJ?mpD-%?{{Rkwmh;o z?O?dqNtlcATkBaq4*!nundN8QWW4hvlXKN%@FYKgq>Wg7oqTx(e~A3n+8(mUe`{9e z1j12fl#=wE_%#@9q*vwyB>Ev7Lu-M5_V9uSi;D*C4OKGFKBH@Mzh;}escd?o)&S!T&?I-hxFKN6gpiWi!!+9wa!44x9;DM_h)@u?P$Jw${&vsux;jQVG z5c=;pLB=3Cz{%>RJn!#YLQ?^5Vl}57_%){mE;7Pj8nY0(vETBF`rq>vLraXfW^Zj2 zu#ajIYSD5{Z;=y)89hI-F11IUUVC=~p~^EzoU8tRIxylVt&+bGTz%pYl`g!4^RLe*|K>2!)=dD@4TZWhxa zke>manj!dld*93>q~(l9I~dNW#=}Z?G%~Np)(!N@lS&&gcn-6@94k=Hc{C5T4rM>7jblE$P$?3uaq${CvjNeFH$^;T)JU*9vGx+F+& zSXfvR5)$y_Vm{*&51+D)Vyh(TP*EtG4uPe3J&mT})un80VJ0pWUUsM+W5XVJ`4zhG zHO!Y01Yl7BpS4|^K~+bXjpOW}Rk`_HY&!((nTZ#6bP&_!TJ9 zgysV-vS46)F8FvZIL`ggs0|!5n&FBRE)obWg&W!>LO($jY7*5$m)u}NB4+3sg)s+*b9 zH(Y@TaeIgrMqf4a9+Uk$;L^ltVmU@sMEWguU8!Iyjlc5_mtwudZVpXZR2s)rQ}r(5 z1vb}>{J}jSJsroG--Q{4AZcT)g}2uB^TL60*aeaOjk~_kQ2)@#i^9m|lGkU7!-WcC z$E}|#Xeqgqw@bt2*E&riGNBKF=~hj>qjkwvOlNO(rpEX5e(OtJSN+>L&$*xb{@t<0j=@X}VsQa~qS$m@?zVnJMMWW( z=zU55H6lsfMz_~MMb!IPV$f@9cJXat6eI8wgG4?FRu8TsUnXxk4~e(eQ;2ky2;M}T zd%TM$UZJoox(W*hSs=(WWKW!F3+NV?z%24tn#}jQpX>!l75~6C>)pV8(x|=($>1a0 z*?xVg?eMAv8Sg_3ZBN`yK-hX7q%*$u9fRRgUXT5aZ~C9 zx0?$0pT!iYahF}sxqHyVO}GC=sV+9eDK8Q2jNYI)Od1*exYB|+U>;Z%d#<>*S-yRE z@M<%70g+ZXxz9g`f88LecD^%%dSYMn;@g}ehrH%+Pq9**?R{@;)>#5!4vp}+&47X< z?#8@<5Gp7;9m{~5b-DhG|5K2XaJ*2#4scGzMgduIajZok^_}4ojIfYNCeh$#dZ&#~fRib(*D~m6Df)C6)WxS~LQEjPJ8lci)V=%^m*u+NKP;+)BD}!%9Pffjs=yh-n=Jk%?h3`rU^RM5jFe z6vxq_xrTs3&E#$}(L3(UcU~;oG0h{jJTKY>|JFb^IH&XsbC#aqu&OxUEF2E8>oh?x zBj(Qp3D=&dv{yCD>O`x?BsC~W@CFk*_rJhA_0{b`Ta z{}SInVbr#D=qg?QjKAxVgeD4naNze8!ftrJAW%Qr;G3?JXA9#cz!i#en#R{lgF4-$ zpK~W;J*4=d;Q}l|?zrH1Ewf#oot+&w3zp&DPY<>VFhBFEHFaw=G0|wm!hp@hkf|5U z3flfQ%#e_@%`7QkJXn1BdCY4*vL|(`3PJcTe?p?I?B1vvwd&`Hrq*&hlj>Q?Y@OaF z!m!AZH{Py6N{pkF$ z5MJ&sm!j?9%YXefxJxi<5g;Ly$rdF4PGtQ7rh6!J-;rT3B(z>Hj5(xUrnQN{2SXYl zm^2QEJKULX68GgGs%~CfsCXhXhGis@qT^g&1AIj%l`5g{mnVt4{ADKBq$G^Dy*op9 zxoW>{cs?Zrnx%(V+3HuA0Vmrt#&5MoMMH!Gd>t~3ciBLmO`h2vjH@G_ABPxaLrkjT zrl*dc7guP>6{J^eGd|hdlbS84SlS{tdy}qo25Y@)P0YX>|6UVa{5E1j6 z^HWd<;gr%n;`DhG>5|gP?OeIu{4*a~;K9<~{+Sf@zrV3@y{FoW%iRu4Hs37n0TP^lp&rWPdj95{n%MGnnay|)R@6j zaKi0>y8UJ;bpDsIKH~V!#c#Vc@@L)x4Q8Yet8p2V6@^M$2Kghr%HJjJpT07sYpExN z-xj~u=+J5qBa@x_>@?ek&b5Nzy1MK{i%(_%yXu-?X(1P0@m*y$-$`4nZ3>S}$ONV0 zbrUhZ-GJM9l<)o`*-^%$A?f`~d)Km4hp9e?CC{!D8&^%qt46Djp3s;LPbU4ObWU(| zhCbi!3$8bWB&g;wyLCB+je*w4+Pc z*g3F{o{2qa)vcS>_2MR3IMnInxxYs!N(N~cu4Vej4F8@m$vQmaqc@UK^Ngww@tL?% z&4_jf>)(mbgXeU63%(Bhz59zK>)QSMBEYTtcZ(J$!g_9S9JjIP+4>q11gj?agOXW! z#TBA{Z1tmyj`5R`lD?dni+;RVv1{r75oy+}SM4zCfYpOWOl9JXvG?z`Mq$U`<@%sS zhxY*5lK=dD3KM-Ihw(KU42P%d-_RPh$wUbbP7|8@>jAeL00}9LX7%mT1Ld8NVO$j- zQgCBDMCEx*36x5Q=+}l4OOpq&3&LyVp)l0Lt&59qmTx?2|Cu9rt>q9CrnsPrOtCkb zcJQvW6I;H}Lcn(-)92z!Tj0;ng*L>FK(H)fhV@BN7@rNG2bCcnE)z@ss`=YrxHM>soi1cy(|lf5>;mZMW{Fnpf##?%7&1#cl}~D5(_~^#R_yb zhG-G~WWrt{2sH*{r6%3gw5z2wf;3#~#?UK9SbW&X7<~fo!Z_>&mroEEr+Z!Esw3j(^*4A8Eio+Ph`3YWAT2ddSIX z!6bi@9sKg(Wv+w^d1Y*Iuo}=NGYRU>ch_H^*I$=%p9$??{lG~3 ze|the30WrM5-G?k2P%WzH5nImc|$rt>S9!Pfkx&h;ch_N1xK+3yoFtzPA|lBFxk@v zI56N>N#X{vVOM6=x8JN`Ak zo{}p=zzSU=w9yR|G}(3-)pDO>v{8KJIDj(=n)fWnuo8F{*AH48A}+!T=v$lXfbi)7 z#zI^zktj~JBY~%BC<`nq+wW%dJt=Y=WP{6&BMP`d~&tuK5wT~&RAXB*KPrCn=?8q^|N>Sin4f0cG*;V9PirU^|@PO_qoMOqz!C@IE+s-oE|d7Bm>|(aI5Qo)LxiT@e1jh=oyzNgdNfZxV6x%& z!QzdE!X}v}i+HEWTdFaZ>0x$t58&_?hBzG0-+tzanC7+VZxkzz(iT>pM_)bRMNWje z%vwHk%j*|4%dP}gv_^easi`b<5}yBMZctLf+~L}}-`QwJ-1ai(DCP1dLBYnjJO|H) zJgeJ6?I(0E8qzX8(eP|FxvgayDp@ZT9Z~(Num;8xNa#`Qu_PtUQTte$Q3QNH==)sl@)BDfan8U#~qxW+#2`){wMjrUWAD@+9LCl??+<@ z8!d{nQpRHpzOn@mz`obE;vQ_sn$3pr|PM6__(Z*?ISwc zyX9`s@oss3d>r(Nk_eQ``_RM641^GWYbBh}@qyg186TMma~!{`X1DhIX%o#;E1ZbQ zJ$?I#7O715US8i>T`5q}WonAPk^HB2ezk8KIeqgS%S!M4hD!~d?eMo>E}Z+VEDr&B z4#(cLlnbg&s}`2-boZLeF`_i5jLIP~Ti@bQeaHyDFP3bq>IPY(1SdPAbpIPMLfb!zn!kmxT4>)kN&X$8j zS@eJ}Jd6W4G^UX?P#5?hrD_k-(2tyjP| zUo(34%L;Qv3%c}EoEc;(v{ASBrQi9f?lz^vN`o}Za2N@lCpnFD>z&T>reN%B za%3gSL`ORL=Au&@Or@`fN7-gGAM2F+TY2<&G4(S(>9O9^(^Jzr&^{B6P;itH7PJLl z;_U668M?e?!{d+_)}3n%)~jWUfwgq$=p#Qq(HDc55h7&l6_S62W&QmLyEgh9;U!%l zrnE{3OMF37bBI1l*t>h2OIpS^T1Xn;hY{%O#H8%E0LM(Cs$jZ~uK4O38QFxnUA`tj zD&@EPQXyraO|?bgZl=ieA+7fON!hm`q5Hvmsuq|1>zs-GAkhhX%+989 z4yyo^q~=H0`5}Fsx%$CCNN+m+!X`)_)E(@PYY7Z6#8RihwBL||(iBt}^$(W4Yo$FI zA$-n}cve1fh>P%Xf;2%Mo$d0=w&+WtD>@bTofYgCX!PvuZ0t3!E)hXN=*yhReJ|08 zD16rD<zcI{Is#6~|bq!jX zC-BNjJM#C_a~WCGJWOyjg1%s(y!)HOP})nPnfmWsjX`ww zk4+sy#nrLKYv4I)6}aI0BfN)Jw{vxM1v~~`3f+_RUfoMjgQLQ@53!Tkxz`^`AAOFM z=H-1~<{qAARFDcZKzG%tBeuLgGj;DNgfp zT=V=}H1XUarRNf8SgnO8nFPSsY|k4_B!7k%(PFW0lmm97Wrl3^Ow|k=o**j(dX(Fva#1SvlEvpu+ zKdc>)eU z)WZ_#SA2S0qPE6G@gBIXK2=H*{o<|h{cesBvqjK|;oETHIR-Owft1KkuX%JZ50FE$_t zAPDf(-7!2kSa{O`&bh}9T$^Mg90Qvsv@|!lY zJ0BuI)qSC|mke0QBD6`@H`KM=ACZ6a{+qKTgk}{}V=7vlE`FaDEx~KkS>%D2rn@1Y z`@ljT7&48DB^Z!dvb>n+hBrtvMvD!FB!_hKne*7{nei9iBq1BOjso4(%1k*&h+kB6 z5Ckh~_|11D=bU4Uu+OG4s0cM?VmVPJh(tQ>apxfjmekqpR3I$cBR0ctvbJNOVirT* z<5wucEe7HSNL5(A*=+QHMKt;em+Feks$;cO3Y0}b*?Eu@Bq<%T+=t7+_N^;#;jI3jp3cbxO+0zQYdAa07-Yg!f2QDRNvJLXgLEQMbLj(U2dX{7xve`Vdu+M zeqm)mL^U*GC_!O4be_q2^C|E+l>UUzu-K?eicCRKgM8zEeSpbEfXi;+h2tegLQMSj z2O(72+_K!DP`n_ui!Uye!w<+1?w#KD-yxt{%Ee`;#>_tn8CK$pt5q9z%!;lN(nJ-p z>NumuZ5~sqg(<~a0Qb3wtapZ8j)kpU3+yIbe*4~rVExU*)B#qCn@Hn#x8qMJrKJSA#gG}BeTyN-1b zMkNC@+-M0-&JfH&bjrc`?d8b`F}@J<#gc%1u`@%a%Nao{kBz^JR#o+zSRTDMz{O1Bl$Z%@?=F+9*Kw!vDJppZT()yoBtgpXg5HG{ca%Bb?hdJB4O;TC~%XhE$Ou}ppe zI9JT*1Uz=!eZJ=3lq{f(rI;FRM|&Y!l95nNriUJ|OP@F3MLiy_E#(mZX0VU{Ds=S0 zMrx^{vEszUv<&sr9U5?!tE#lGShp$(>vnbgs-^5jEZbD5^GC$P-aq1FFHu^|!VVr< zcOcKIWk=P?hod55yUEb4{VkHPt6|z)piGo^i2o|Fm#eF(4GE$+Px)ZMu)?~(lac;B z;SYkMgbBIt%GRuP!GvCGwaG88WYYZX&pBQ__yU_WrdM?~U zC~|e(?~Kj}h>DW1LlAPGn;(RN?pYhC%@VNdaU{Ol3Ybl(RvFl&m6vRdP=wJDOw+6j zM((yd8G@fcKUP?hS#b%CHPhL1jXMxKa>*9ypV23#3oCOl2Toe;O&PR zOY+h1zMQd!f8iw;29ar%0&5L1G?cEFhk96DL3K>pZYRMz(G8!3_U4RV70A?GeCM?Tfzh>rzvD|7(>)v8Q;LRFNKH zr=2!$aMZrwZ}q2plrF?|cTW2nTxV_b!aMl%LcttDFNy z3@xRdH;O1cx2Ug=hqR(M^mbsf6li7-HOg6IA-W|MFEH8&h+VXw8vJi3t2%;o)pi*^ z_8ACp!HSvnZlwFcFj4B|{Z;y#Y4DvWo_;8jS3+McPa=kcH11G)gQt`Q(%#nn0NFnQ zY7=Z6)q89W@9fh%o|Pg6KhGtVb#G*(5h9wWZ->ecllbM5RP_Mf(XAUA(e@iyzKn!t4Y3#Mus zJMWrq&fL93mM0*r3JC}R`Zs2m??vTr#C(+ij!RJ8(!>G)_xuJ;72Wkngs!K{abqAq zvIjTBoG25k_=mFVXtx^T;vqR1i`dL#$D^QLXE)yN9ISKL2!OQ#EE~Z3_~Z~w3mS#m zj4v-B_@-N}<<%4CM4-jeB)c1H1czFh*wH@{NNySvqTci}beP{G;MTV@C8ec6tF$Hl zHb8OuLEwIPTJ3qa2Xy!n<5?B8b8Hw?f(QnHy zvM}bg9u0RUwnDQ!Ify#eSUd8_vvnww&|s|^ra7qir|^2Y$8e$UjA)I=glEU9k%0lY z1jo(#cTyZtR#IsqHOG8~NP9pfhr_5NnqIr+5K$oV&K@yZ*uPd6AuLB~wihQnz_O!X z3PD3h_k_gDfWotq@2&GX$wPJsv@^0@4)Wjf9yhN*h}Oiq3$8IDLJL}MMweFzd(@66 zW&elSWUMUH4?3?PE@Y9YA23XP{{b(X7ZnYSuZs$f5;mU**x zf2EaZa#38uJAe2d|1AlYziW>6!<6*ClXj}g#Zgh2=&act=h8^^n(pkU!uH%o*zfZ} zN8!ZHS4$6-);<>Nt`@3*#;4 zb&GA($(Z8o|3wS&{SfTksw2L$k=y+%FZ**Rbc@Vh%X-FrL3-0<>TTN<2@fZ3f+t~* z7Aq0N4;}+Djw=DHU)mZ5yX(me*Ly<2a3!z-DW}Lg7nbtYCJTy$(?Yn4!j4<_0s!#2 zYmkQdp(p?8On@}^^UVj{WxE%2MwTEsRNQ-2gCa@Qo*-!omr&n4mHl3CmXVvAn@=2$ z0#Lm%Zbb`)|3=lxMCUJBDCTOo3`IVCf2$z0h{8ZaZ6L)Kql!u%7Q>#R4m-^fjO?E0 zJ2Sh3Be8%-Yk+=D-y=?Z{Q(CY8@zH?)$vLJeBE?;DhAePc)tbn5fuVzN$XB4_7 z&ElrYkZ5e+-u}o}1|w)T@h(2n8$+$yUE&p|@TwGF_f<<+ydTz8C!NK((ZBSyQy$Q~ zVyNosRERChoo0x6@Ric~y@VKv<12sbQqv+)XgA2o(4kLxcPE6XYMSnOcoj#rldlr- zJ~KrKs&LA^l?@?VrLvp-E()j+Vs`NFCPzy#sv?w@n_>07v2Yf_kBFmh6DNCnE;oa0 z7#k&K4}F|g&R zf(Jy(+gmM?zZQj*Hjbo-{i}BF-rkQ5xzAuwl2OdiyR;Qw>bIw_cg@|Yc{FXpT zAQ_OIwGP-1n21K9m{VRoq1S8N_vj3@0_(+a@A~o zSv*C-@&qU+z|it9AK=+$KuStl@HtD+=0{QzwgEpB&u=-U%aZqay8J2rH`@L`E|Xe@ z`2B(S7LGcUn1-?oF0z5I;26urx^mG_iGbRDdRp1pFwwY{G7*C49M-PH<;DRSshu4d zg6;czf`iW->0%<{+>wNBpO~f;Mv{g++`|H@xxTL14evaDf{d@Sl2+AYRKM!|QG<#_b1+70h zhD44Ej;2onm?Z#EhiyDi-G0=T$V7hee2~n4tUE`@({vREB9;T-TqrJCgM^9ufUq-& z&ZdaK2S|oo4hvmW`RARjqry68*A)+`qx#6b#|BQ*(cdj{Mio;(z1O%w*w^EmWB-C~ z?h5=j?PSu(Y1WCVW;FKZ@jop4=wX%Psyv4p=aPeR!F{FP^7WhGLzR#Pr7Ssup$Doj1JxI=gKN(xZWv+{R4Z**``%f$ik-8jiMuEpY)DY_#^Iy zAjQ4P567R(O+&m~2!<`oGw&v9jlOI#nB1U$=45CrA_VM8x4;rwA@?F*JJW3zklp`0~oP7tYEV#Qh>cM_&m}{5^<{ zY}bD$r~m7J1D_e7KG+{zMV#zP+6{@?+=5e;L+4EE_=JRhaUp79#YwQ4=s2iTxCLaa zL;!&U@QHnZNKs8~FW!u zz+6+$e!sB9$7D#R#VpTO;6CW%IdHi}sfrVl00xYYho-?xu-|AW%gM~xJ z*|;uUyh}DUxzpc~hX!8<#3|{SJbOvb!FNONln%47&8>bJbYhjmxUQFM-K~T<5Xs^d zU9UOXKZv9-;tb6NqMY=}wN>7@Gnp70KO}MF>E-60Y_hJl#9GGs2^t&=e>LQ%eF=#* zU<;0&_axL6r9Ast&bpNCw05SL)pXlxUQFz8O?$UdgvL8@KZAs*LEgu$pIr;hi?*SBb!b;-6A{Azt&OR70b${SQ1D6Yk#3P9!K!CkuC6N=*D)XI`F>}tcS^Edt8U3OTyAu3P?(UI*E&QsM5)imR8*I{#|L+cY(yH* zm=Fs%pik)r5l|jR?oH1|OgVzqUzUm-byB2<+dL>|FO!g`g)!hmQx_~Iz~yiPALWN{mizA>N)+w1aK{@-QBuY zQ!TegMGcTUwgu)@;pzLlV*SAws7qhr5j*IrI=J^`v4;&<`1YO$fmpQO=erJ^zc`g< zz$hyLRF<=f$U#fI#rejD3E)P@y2pSiHjCQeDlL+-gedOFFmI-R8uV9+k+pqYO>kHC z#jaG}?%DBP@s34e?yrsb(1&7f(>_eLh$bESfP+O`sEk@!-=Hgm(M!tTy)Fj_?WOTY zTS=PV?C#=604%pTy%ysz6TDkb+}3SV;aj;M=EE_}%@7C&DvvO@+A^RV^u%zz0m9TyoQ50ve)VlnpzTzhMDbGi|vkiGRqHJtq^-Oa>}ToV}XiPJnk${>XN zsQY0zAd(BpbcSK@eE6n|w@k(7jaNAxqz+OBrW5`4v4))iepasWHR zUjwaxJwT%%Q5Q;Z2lRa&%DCDNCDO|WGcSlD^ z=Yh%x+5pL};S_)L&xTU;R?BAZF*{)l#r@8#tueVA;SPs)Ttfp<^Af9QC0~~}`dQ=T z(Ez+_>{W)Tz2Ca~=+8Wz_NcNJha78EeJK$i`j^_UGzpBy{$br~_peiwyZ~Y>%#5)j z_H`onmdr29?E=GrZma3@yzt`KmrsF#y$v+#PPku1*~3QNhtU!rX(t!lu;UI4C}N%@ zF6bVt22+0Gp{)3$sv;>|cqI54k7{vE?-1}FC>SWW?rB{h z``=O|V!rlEe2oC<|VF7&oFNm_0vp)J2KWtIz@ zj30;xjCojPn0)o^l*NvC(NcwrbS=ZWca*`&>lR=|f>$~O_(p+3d3?;NKymQkn^nwp z2wyHl_fCQ*NFE(+lwdpzU@{y zVfj7x7x{*FRf>jC1BmzcTfzvoEc7HH5z+3W zP8&7qh=c_s0$mw8xZOb!F%~LnSpV_yvFOWXoWk+t+!LzN!i+n`*=rk%O0JMfF`p{d zhRL`3I{GlKZYNc*5Uj3#M~bgCBTWI&$evA+#g)QW`iwc(9?+|=&+a7!q1}Xsk3)FJ z<;JxO4q3tG;%7#%L$&`p0Iion1m+`k68aw0SiEz|N9I_fEBDL2+#{y&%U{(!_LJ9; zAvdz&B(Mv_eVrVk*gmeifxudosdEron?-mIzw4MWZf48Npc=KU0SZYL?}CG&OaG|6 zBgHD9zsvg~narT-Xk$<{xsTHbtH?_zs`h1@b^kk3>shIQ^lr@x(e0Ydg!*m-q#Dij z4lM&>87sD^#`eclF7e2qCJClkRjpsdmwq8RP`b1=)&u^l9u%=|s1>hj22%#=f6xE& zZkfUp@{%&oO|C9h%n{RVA*@<7P+gQOk;jVGe;2@d9z{Q-JT?o=hHlVjVYxy|GJZbN z<~PS!J#=|ES>hC!`-a@)b@8D?o<4@>LUUWz0pukO^;y5IsVMHguRm-(tPZL%+(+foqlAf9|p8 zY)7jy>{6uIiyWGFN893pG3{Bl0Ee(!BZACNFux2FSvM`nx{igR{}13Iuc71>$GL}v zlj6tf@D>B=+@=A{NuWo5T6Xp^{`>j%yV>G`0j@reT9!Nee>Yjl^%B`!4+e_Bi-fs} zAs+Mo)A`G4PeVac=Hxz~(%g!bulWpEP7;2C(A!Z~R-S$V5Csd^Q1Kp_K%zomgv7w= z4HCnSu*a;#uxE}4(e-8L7cXI(dUAdavGou25 z_%R1@0=|ZA%%8dZ6|7JSlDPVBnlRP44?}7=e#CUdT*SBT$?vG)X*cOaPXkU2R7|B~ z@wKH3`8>L($uIelwG~&}c(zP(Iu1ov)k?O~$l%LkicAG(@UBDjlnJ<^A*!I0GD3TC z1Kt>1*|p5Bbep+3IP^Mnt=hFL*?^xK1J`Pz#ei-u_JC&P!SBgfOnyQU#QYw1W1)V* zvh`-ulq_dfu)l#%BeMh?c_Gn|tl8kR5nIW;Md*W3@_xE^)OW(0jTL`K2T%f^3AdkG zK(QexkcUur_O>Rycrn9mXk$cQ+LWe1D%@96R;n!r2L+rd0XF7#Y z`Jr%2M#8wJ?Mc(U#2tgZ8W!rbN~I-j?pfM~aD5<1J%aGk%$V^v;}{gu`$Z!RULDwT z5IbHy_ZuXV0Pl(+?{M-qK+bBmy>T)oHrg*fnc4v3U0l@x^`XBD9;@k_;YTY1Kw8`^6iF;m8DGySYR&n*kLGz5UQJ7j2Dlmq%8_!&d|B zdfv1b!Fs^RBGS8_jF43B{H!VgaxGm{x$Dq-C{J=40zMf}<14F?I|#G{NjHUR+&EcH zb1C9{v67uUDF~+bcu_~$#c{%lt2>zwN%ih};`)?4ahy#oANK`Z=WtBv31C);D}8rs zLNJ!yIiR)4VP%I=JJ55qw0cg>_M;iMY^El{{)rtpx+|7hIDr{EhlSA}%%=P<<+`b^ z;?hBn6R2l1s&(Y#9q^bymW5Jr?lLkqG^F>OmDSW9L8?*tO-vpznUAt|>K4vJ)1lmL z;2Uyl|I%!`|K~4g!!1G}+gtnL@%AD&7vz%suM5c_1&fpY9+%fkl0hOi>jzyQiA0Fo zB=mi=MwFn1Zy3w@=d-)l%JZH;On>L%NI1&aF7(l|R*BkUuX0GA-4QQ>Rb%EUe_tRR z02`wnt}5G-#gP}MsoR**1_6W@d_LE6M1+O0t6P9DQLy(gKd+OC0u9_Myk0E5oN?Q~ zCC58tem_Qi;xEiuvKaF9j~5s6yWih-R*}-~{A&5m7;x_Ybbkrrr5?H#+rLD`mq;w^ z@&rLQPI~(Db*ZRiBSeQq`=K0tSG?w~@et<}wTS?W1jKfrAVwSS&26wvZ_OrEUVFdr zfuQ@J_??<_k$o&*Gd0;YEM2$3yyKSG)A>1B3hu-G8u1_QbsX^9I-5)eH`&QFS7*L5 z{1S7%nH_ytn(0($bHc%6&q9o(t)453P8*|@>Xg?A{S^wuf9k)vRhg`AEEsGVtIHw` zNofoTfyT{~7~$L}%}EJ27r$cRp#kG@95^qq-#@;c9Rd!yh2tBbOC@`n-Gbb8)-l-R z`$RD&L9PiV&G!Tr1551q`H{+3A9_EHD68Z<87QEVAHja&Ry^gssRG%ct$|_7l<9n%0 zq_43bemj3~b?qpvd2Po%+W}Ms!uQA`>%R9c%2Gaei88dVb7kc_Fd9lqhtgR7BJU|d zm;1i#?g3IR`P;S#y8RD^18-<66VRU+w6xBoBN*4GMkO~-JZOA*9Ip;5^B4;nqUbnY zj^~FQ`yG+$q+5)X;1*{~x__0J!oq4WNWxN!dE7T?qq{Bwpvz+5IT$CVg6Pq< z?r|8xms)Gcn>x(9Im`LW`2lcw`Qn`^o)oBn|4Tx~<>&C`L?#p5B*a=`Bn8CG}3>I0*7GO0y%^c)gm;sNb zMVsw1pi0BcIU$&QM*f6Zbr9pQ@bzeq{FpMzSwF}%xlDgSF+NAs2ihvoDDNBO8&jVm z+#gh5Q-;1(Z2TGw-F8lkT}7>DrWaprvE?mA%B57ULLSJ~S#K(->U@bIxp}50Na2iH zX{(QT;?A&3k)1mQblsxBX#xi@I zFeovWmQNR5enE`Ks*Q?%;m*~vy-w`-Vt2JlULmxlZeCs$EV5Hu+b)zzwGT@j-(Ir* z0RJ2c+|(_%A}48__#u1tk`3IrFua40&sYkWNa*)cis|xjie#8MGRHBRqy9vFfQANv z+c7iFaNeU@S3f_{nFRoCz)b_donigtPGr8%#Id#3<)oF}NYlDo6O)y5x3AV_012jF zt);`gN*mdo;WTJ_me_D4+p}Lw2bO_8vVAEZr)sz6ceQ`%ORFJ|!qIUMn6j0dNEHfV zG-=eZhK;$#$Ew2R24JIRc1A3UzKJ;)s;~_*V0c-7R}>$^i#sXyb=zXRw@DJm6^EO@ z_y2aKYzS40kxD6Mt7**J)v?};$NmoE{C~%1VN{O7=bVdxS&Q#Bx){ls7>Nh>6)Udy zoAOB?t4=UQf9bp=&zJz1n~>1(5vnYE9&-dAKfM`N-pgB8NhJ{>SV95>-Bm!zf@+gJa^@fY>v+8f^I}a z3wfoS67S96qkv?_0CKx7qsqE$A&7V#T=a8Rp`qz62E1@1_vZ3nf%a$oIp>=H+%VIh z8}9RJBqV&d1Z! z(hO+QKwJe)gJ3i!CDogLQ^AQ&koUiDCuDhKN~Gy(2YraAdck@Gf(_vy9zl3lWqXBx zsX2r?&zg>2{o>S3tnf$h4@6vkoa2Ix@Z-z+loh_;PV2@C;U8NKVR`R_cRxpb#+%Qj zWJgq)x6qJwsY1SJo}ooPgLuK*Xm@^LYcP!Fc-cyE;(f?u9&aawrg4 z`f8Z@v`L6A#Ti4BawR^Dcx+iX2oNem!4$5xeSOxW_-k3 zYTvW|cy;}>;D$B7`9oI>fND-qAwrzk-?*P6FU;K^@8A}uBi_}T{{KxwZw2Qyb95^& zJ@Y?&cUV`0jvAbLeQWA`ucWFDd6Z#fQvSxiJE}Zfyc3j9)o;1(FDrBIkP(eA56lcZ zRkXke99gw7BXHR=WK}_|*S**VHc^Ryx@Ax%3nT@M09$p`l zkD&6ogwtm7eAHj`?miu!sWWfEFblzI28J~De(vd$Ps5vyguvLo+j2a39R6N(%hy`C zXV#EkE2NrQ2t_sGU4tE~#62+)hjgj2HmkN@!EYT$EBWyd1V7`TTF+LO+FW)(U1F_`LD%UaYN zgA}PtdDJY+eIe=~hdvbl^}N8%5m#>bnsFKZ=*9*&q`J8IMl$b)-6<~|45>5o8Yn4| zAq_(iTK6zX0O}3)$9zM?4Gi>Uuxx!v5B%aWy{5D_t;%IfRV9c{2&t^DffXny#%HQd zn(O}B|7J-ke9c$r(y8IEclOSsKbJ%Aty63xC6#4_Tq7xO|CHBpDLVW3pq!I@M(q>Q zEPvZ!L7jlM#`)pEtN}Ek@14qwG!-gBeM?BDB*rRCUv`2dyc97M4}Tth7TgYi>Lb*_ z{U*SwEq=%{c+T)Go9ZfhwJ8G+&#0@PR*(@eB`~o z>v9MBM`XPo0S1rrgUnWzgHUbrJhbOkMJ3`cljUZ~W<_KaUZlgCKh+Z1n-1ZXeQ)Cr zB&Mc%R_y>AZx)9l#czV1BT z`(OElHePnwJcOJlKu63Hkf{oDrLk&b42+F)v$9kioaU8q-XGkc#z6o(J%*(LNpnfe zO531Lel@kcX7u$)%D-9C5M;Dgld-PgBs#w!#6GR?&BPZ0g)MOf$IK~OeHzoM5h7=r zV@)OB!tkhOtncsNw)E`m>`S?-a6;W&N>70C2i1R79^gN9osNl6{8ixZ_|_yJbXA?R z-;f97V&xEN@L=4}LqQVN#Yx|}aSgGN_GQ3H$@^a8{U>}v@Ab#qY$Nef6SRaI>u*^? zD!cbR11bFbex6JeBH8kIn5vKy8TZSBsr2R>7af(o{;pO^1REYJ`wTqq>&NM@*&i+| ziLv|`O{!bj2Q)`R-R(ydeX3B_U99db7v!kbjac}D3>L|JTy^@!z6MISz2ek+3jBo( zm4Zf5zBvwoZm|8A-3Ds!lE=zVt$U5tKm@68aW#~TPkr|OkDy7jq33C|XKa@S`{0I~ z9b%X#F4Ht$JK4z}eKcE_HJgG4mwPs6=6d~Z2kAYq&`#j20BPKu3wr&iV3Yx}?Hz;EF&5@V2pz!*p^*V{ z*bya_arOVR;;0E5XsQA$IwdF?{FIKEiMLeLx$|9kVv02~81pX9JsQgR>>B{Yj**4z zL4j57WN+pMk}A@U0@*VVa>+1zenO<$*fW=q-H-E4_HU^m?%)$LX_XOEN{^I?-zkry z)`rpwP@3mPrf|9jLux=cBvXREA#b&jCY|DNuFCQMI6B9;y4yI6XWK0-t{)x*w^ZyqB31+QZdIj{feJ@@jD2 z>p_;AACiDAGvnLZORC_C>6ouM2}+MvU9R?tx~&fpc%e5?suq)w9hoJ-E(hF-pNY|c z!M>X<+lj}**JyaHK?rv_RhTJn$(mSr_BUWq{PoZkGi0G>#I`g1H7Zm9NpN179#A3! z3-1HKaf(dX&l7))H9T=~JbUicxJOP}sDay#Ij8m250(4~8!n>@pPkOO%lg4~hQtTs zJR5YjlJw0>cX7{ZNYLO?e7#QeCmi+UwGgE*eYcj&yl{-S-rrIb!u5#DQnf=(zpGXhi4V0O(!>zRE?;3@_N?O2T*qCzc2Xq=AEo z;eE)%e2*y=n;4dbg31UnIPDF=$YsV7F`nVdnb%SnH1gb>>>g>8J7)4vUj?F(zFE7i zAWbi<+U>}^+9+)YMW;3Ln^weCf2LzuJvt`dyQB%dn};l$YJ-}A;@bm$Q?_FCHyQM~mpKZ3k^c(&{fm_81s z`+bD*D)h}?3p?{;^816ZF{-(xv-G@=fRTG-t(;7pbO%0!vawyPHMxETxK6HCC} zy@N(Zv!Pe5HL_gD1(S{Jv{vV8UDr68xdIHWnU*2L%kxN_@kWGn$~9`u9voZE+k}_V zVc;;3G0}XAc$%Sm%k%jlNW?+*dh47}end1I{Zkh{?*>OF_w5%g2QXpNj|Dek9lQfP zyj0vYvZ0b4Wk8x}XZ^GQ*|EK!RsK3GakvNcs6S6yH*f@_27?ET>bYo><%h&~?EYy^ zcLPmn;8STkj(tjjl{2owcYrvKVJuoR84m+G|7fx?Qix7xUHzQ+n(@nZ0t!Q$7Z*F! zj*2CB7vByf;JtuLdm{UL29e=$0dQyo+I`v44-at2Yg5g;zZ|2znm-+9N+6I<>{`+-ffZY(4xsKr9nLZ;Dfpq3W6$-^a z`#6&;?VFHua}G`J!l|;W`%ClxX1tWY!i{PHz!p7x7fM@U?eR1yAy{0(dNN3xm-w;28)%@ zp$e%H!C1FtK5T z8XHe9LT^$>d-{ZZ;|jTQ>Mm*1aMtGyUax@gkc1NcqC%5ny)WccWnJ~?f6BuT7X^{Q zBLW`i=eJ7@dj$>~WLfP!y$RTx=K-VeH<(cPhw~I#u5Z!`hm&~=K=jAf)N$rZPfNnk zgyl+mBdnieR3SZzR`g#$OFPpx3rnoLH}a1BoIvq_uuZz%@@@Vs{Uab;2auGg(ACAa z5Gh(06!*Q?-OI=4>duissg95uszK!|aDiGS;W$QmW2FN%cnlG7aPUElrq#Qp28 z4p2}2UN1m~ z-qvVzg5QJ~DzLNS{jc1E-`%7$d zo%f}T?V+RRsUzU>(<|)4n;(1&b57*sCu7WifRZCCwMjy+(>k4)$u!JUg9;${#WLio+zo&{It%rFfI+aKLAhqSGc<{|BVr4V4s8YQig7~h=@KhW?!hP;VGZ`+B zWxg|7UtF{4AxH0-EP~c*`y*aIW}#{=V~w@matvh;R<^#0WQpgE228K6-zXyaNN_D= z^&<4Cd6SOR2EUv!lR7>&=?~a;@(B4NzfNu!*Mpw(62V^+7FWQ+hTCTRFC-1(w}b(r z!w)W?s`ZasO@4USwLGGHq$-Z6OQVAl-wlf6Z(6aw6hXqMsCw6X09mL=Ga(dLn zheBEmZ1#N#uIi3HA4f|SR;VjJSDb5C@7DA-nlW0vgrhEVD(~lXyJrE2rR^TS5j-RD zdnBtSU=@ClC3*)*rt<`_jjyShLtg){T^T$INj#l`K{zIUec1p=fe0L|{+s>5`6`NQ}4mmVsR0SmeL zBg@WfR9<#OI~{|_V|X25(bAjai54C_Jl9*Vcm|H_qYx)M88GID64xFk<8NTeKB+8G zXmpJeIeDxmLY$$i){KXxU0WJX?MSU(%{dV4e9cB}zf(d{DNn;?Vq!a+9+Z!B{(WjE z8M#>I;yf$!B%aDE)$vcsn3fA;-kr~ExgB&@ogj|d-7402`Q5%N9cbQTr6^0j&2S|@ z$W{o#HN`*(I)-Sn9v&2;d1ZMLquV2)(|BdId~``+y)Ok>fphJ95J^$GdxmiA%dSc{v3g9k>(V z4STQP7s`sFVl>19bv{dBuJcYZ-TJPLKQbhZkUA_;uIifKvc~O<`>dyA4gkQVIF@qVhNKTopu9@&>p| z7Ohd5Tyduh53}Q0Ng#YEZ>359-OEYF!`B^tCr{&N3o7 zaf`HMvO`KUezeWa4=xUD8v5NWWFG{Y=*w-Ic8WZbD4q2bJrR&bE!ZwspR-OIVTr$NVwf zvj^M`%&>1h-$^z$t*chgN%OuK$l-lU?N476+#nz*_~UF1^(yv!cEWN@ui|y#;FPoY z^hr<^piCNE)YCjKJUTF=_GU}cYiu$|7+JnuRemFTug=DE>wNe7dqcvU^#y-V*2!1_ z^u;;u412*c9@oU(M^DR3WhJGpme6o1t84Ce+)DDB1$$6KE`EjhTsfgCF`4pXQpfA2 zg}83m$Wpzxy`r)0r_+Kl?2bp8Q7KC4%4w}QzQwx8{lZ?A;@bFD$Gw{S`DW6(jNK*m zrAv_&%j!|`pnI^-E}!eCyJ!n#5_myvRLPg0Jg}hn1GG`IrLhG5@P(uf*xIRdh90Fi z4%a;|ADzUx;nukh)i7OFdmV4QpPz9T{lDML87(Kq#P5RrfM zr)$GYN1p5HrnB6D)J*0wkv?<~E`^7dkPzBXJI*(8Gk%zFN|FD>8Q3&q46OD4esj?J z>OMRQM$)ViY*}3LvS-%v;52lxK$i^KvOUIXEw(Y!?N!OPaMh*?T+Awpr^p>YO{elK zjijI|&<$lnLUH6frjE|dyK$nnB>m3uAqLo101|vaPSG51pyMl0%5paq2+3$P{W3gayX$J_ti2qxZD5-?t;>F(%L-YN}JT zIZ|3^Va@>kVE*?@+HRN9qkuO6V7Cy6{0Ysy7vU$B=FSVP9rrfNKzz&gWzVZaMuJWQaM^9o>Ct=)`12%53b-)8ls=jd|sBy<-6KSrx86Dl~SVgk5Tqb z3#>_%=NLBY46%D{cR;X(wuy;dQzX^)let}dvS$#ZX174H+DrL)45DbY{|Kb?NZX~` z7;l=QhbuQRul6vW_8nXsakpw?U@T;)id{oDQG`E2K)x3HGEIcm(pi=B!I-bf+tp@^ z#GhsdznUKilocB6mkrnIhSS-vht$jIdF>ljZqtvV5?l8_M^wdrY$T_uD9df|J<; z*hxEaL)vsUKk18ZH5TI;KfH&-xpCfL3ppSnEbiB|xaH=zXUJl`4&avWC?nHR+!&}_ zyf6V;Chp3jq~0g?m>OI^(%L6kdPvXK{mB`pB4a^S%&X&a^$`Bw;>rQOzE#^lbcw^= zCV`bN*h_+(J;5_Jfj;zKj>2a`{IaXel6;D}$QQN)f!ryV@(SEm7#YlqSNI$t+gOpi z+E$_@c47Lc^<$%TGwewN{TRlvhbLEo8dBB$G686EX*_2&{VkBWF3peg=AP7CUUwbj+i|)$N z40y`AG2IPvA+Z78z(+?`vQZB8+`f?>?1$(uc(A~d*Wc%I|Mv2>;?qbipRg;iOgUww z*`;`A5=aOEBibhukwmu=AfA2(?5fihyb-#he_e~UQz>$D?0(~-q{gHYL9q%=Vli2v0ca43H!ZB|RHW`B4m>X|K zUeS0eFTxqO=1=k@wKI>Y{8hH-c~1KaTFs9Y>gDT@*n}cQBUPdfYtJfV_oa)( z{971AM3LDpo9!hl)Uk%z=5t-}BD8wiOom^w3x%;|XM|%mpli)?oKln%)cT7TXEH8n znQSKqH|ePe=%L|k!l2vgw*X_Qo2zSIHmphdyM1;Vm_l8Jed>9}T7w^cS^n-#7#_PS z!8$wsTE)Ycv9kF*vB{JwPx|;?cUzCdoZ(Y!1IFsFa!0fPp~y?%btmeR*P*sy%sJ^{ zi)$ty%LaoDdwN^#ovWZ0*|lm20&qmTpe(Iq?ZaLm2~W&V!f@25J=D2JPd^G#d8E~O zg~P{I{=LyU0<0Rn)}%jQt^!`CR1X54fHd4*?}nn|cHGDI47WwMz`q{jcKN%nAZw_{ zIpBRz&k1CSr_teQhLGUq;+C#$lKE{R^R^GrV4XV9H@_TSHJ*obp9=05!myXaF zH{Y#+?+|eJY1mQ+gdAj1CAM>_kaq!=phEhAibUsN4l7w1X@`sA@jnl@B)2~s+mkZj zPpy#7v|{@-FOcfP1jgOI<@yka-L8myou22UREW(#D{YFozcC6v0MiXXRa|FhLo0>m zRf6->FZ|q}b@lcj{5JgS_3rI;)5ZD{72|0;jBL`Xv9Pf4ugCk(dY7NHGk1ct)cS-U zXy5jd$9fp9FOdzy=69;(E1wSGminFNiV7mhYWR@lXa4F|9^F3U&y!ANgh{WpcXqDZ za~;B2RiG2e`EM*6I)RZ5gelu8B6<@hVXHRZ6yMg*?*KZ0Un_B)f9uL6DfjK6LJ)TT zM$bcLk7+=ie)`BssqjmA#|YEABlqpG_DxUu*(~+GH|9%0qI7su2KqZw%j*~|GHBHD zt3vxOevRw3G%f_TEV)?9R#7ruLrMR7SXwD7P)%S?PPKhq$6W4Hb|s=P%4=t$GD%okfYGNmD(cvGvD&f^g2ZX5 zN~0rxv=N~28MG+W!iK4w-wa9&td{?(>G1<97Zz5$yxNWh;7>rv=KK?5E-X>sucDdk zp!vlfb*ayP?v?4UhKokgcEsTd}9T3bH42`FLy2&s# zgYGzgeR%@>M%;~nZ%BG{3nMT!sU4jST4#hzspCYqcIL)y_Ny@l&t1==KACaCHWV1#|%748#skSbZ|?7U(pGPa&>>dG*qw ziQiq=I7WjsD!h>ybG!)*S7a4@)X#_Rq@+4ULknWkg4aMR zY43QV*Dy;qeE0oAtygWX^w;Dc*(>4TrEN!ryviOZe0I@1)l7di(u`c_z=X3(Yag$r zAT=tiY`4e4Y2FGva*5mT5dU>fF{K9S?}ZV|SxjNxpAu`Hrbtu4gDg{nUmJ6ujc$_N z{=k}+A1;8Gw{(ZHDMhydBR@0Ni*wQ( zJiiZWCS2DcLE(;8c@Sw(?&j|uk$e${=rG2PW zb3A9!YuQ|hg`TAwIg}%0}5`dti{3jm(ZG{#Jig=jp4KzPA z<64k0YSNbwpU!9SmuPE}HUig9Vm924#529sTa|8Q*tp)-$!U%LWou zN54^g9twB%!S8w83PHyh{;@Gegm{6d^sEMuF*82$fr(LEk#s(mPXG-1NsQ8`zfhdD z61^0jNyj%IDiZJwzhKst?I^($yAoPrjk_Gvu!d7t$~dc;P}wZ7k)p-7>pAf4#QGF3 zKFoOu_ye|6LGv(u)x2?I7Dv$C*~Tv9I7Au#E2{=Cnkis{CLsy>ZX&jjXSKgm7d~YR zU*POysBN7Fy_%yz*NPj6u+3UP=80hJe%IYgO>HsP-hW7kG z?>A}3BF&q6#{H5c1jCN8(#qUn;gw1{Lc6b}&;yT+HWDAe`LlsSZ3nj53-u?t)uBv{ zR~5%Lr~{g04DRG-T|3g$PIn3Liq{LWu1hdAU4^>nNP90qj0-4?>idYKN{d}eZ4&;oIEUJ zFIQRPKyAR%)y-0Y(CCKO{HY3e_zS?huC=hC9Z!T26nLL}C&9=@hirY_Aj;t_dqaG6 zuOBq_e<)7>nU2l4z7MK*p0?e8l-Y<#ilZCMuHd$O03hw6{efHF_Q7$mpq=O^H68h#%jIL`B0+id+p zmVgulRTI=3?j*vNK@VJ(PzcmPdk;Lyc@ZsZZSwgt^BSFPp$3U-=`(N%e@_qY*Obl2 zr8kgd`K-@`$M6!M>5O2yuUxrse0)4Ma9evLVlT$J9Qs4)qln$U<{beohu!GC>5VeH`=|-` zPS|AaDk|0Ds0(=202{9W5k0gUw4mK^-p>OJI&_2mcAqPj9Sk$o^(j0E`cu`+y!g-y z^$`!ulzUV9Tsnp+{6jqaX>tG`jTa6__#VcQ3&7ZjISWG$A!Ilu4(wsX z9IwW^2?+{H%I;wRw0Ks&i*;pu6m!|_J@aj;QjKejY{z3(P0F1$Cir!4mJc{seKT|W{`|Rs@Ks4AI~+{ z{@Ou-#UbRdy@b)XE^tIJ;SdUO)hWL+(&O^0D|X|2QEEQw9#GU0fX!+r_?gZCx9Tmv zbq2FV0$+9HWhce*`k99?tQQF}B!Q6U1h~QX7ax@usu7weTO149dN<31!XmL>_kJ-adT#?J?(9iys$EqDbA=8Hg$Qw-o4y=DuXAk{|GALUfSM3tsk zAhzJO=H%A<2+#CulK-@PDk0*_A`*JdhYCs|%7wXF98i4%!~Sev4f9LnZ>>E+KJ_G( zLV>@pAauv}4I&cEfrb*F8_fYVyzw}+1Cc7*O=6{{J_cd)up8|IlnpsA*_2R$V>e|1 z8wiDzt1PB3!MFSE2H77H|H>++krY;*a*jhFevVPbC25#(Dv3|jNOV^117-q@4&~^w zS-nZB3JMn#F?;8B)~iT3hi<-;GKr2Rn$~Z~UNK87R%|zWxro@U1tdzgh&M6e`RvO2 z>I}9YjKt3~4p&+Qo=I~2vtzZ_tT8td61po1GygBH9kRC$VLqeB1&)=Yic@BHKz+*N* zY}y3bP!3>)5me9WCoPjZS8|kak|`Y;BWBs?Z0x;rb&>~ZY^{Jq^}#5744d1hu8u$0 z=b9eC9EkeZ3$3?T8pKD~VMCrG3KZF%~}r7dH)N-IuZS*=nwH zKMZB)tn|&7fw4xfS$Mv{Q{sWaT|r~RV_P)QvFh|Q>Lk=O^J`PmkgM3beR5Jfmw(S-*9@$o*Tsk zC)MvlFWl_)I_opB zcO^%tuPFWZ6SZS23?;)qWxcRPtR9VZj(Im!a!ZsuBzg-)#cqk;MZlOE(SFx>Chf9p9u>JR+-%me-k5~ zvFK84gY*Q50B@x0B%2g@7eJDZmbe$B>HV?$&-z~3r0g#laHMaF;K;0)9c4jy88ex{ zq<;G%k#CW5Os57RbB8TaL8fo`tU+f=Wsp&3nh`E;{nlO}q>m^lPf~sP{bEIZTF@+#zUnbhM zPADVRfOF;Ln8W*;v^PX*=%;}d`LhGZZYPgtcbQ(HtoTqZI-fNAjE8?2>>B_KM!2`m zdP9B_VT1`}POJjziBJZwu&dC$`};Ircu1gN=xA%R$@p`*J8bnm3gM$$l@=p0lQW)? zzL0+uxzgf^rmGj5iXn0Tza8t~1lXIUrGP?A(H_{XP6XjE$B&=7@67~A`yXK9I)>F9 z$=D=AWskiX?HZUN1>xXFb4#cklx)-~&Vq=#S=BFR;DSI6E%%^gjM__XTL->#WnT``h{9Tdn}Z=HW~sKw7oI)}^4x2G$>Dc^4Gmv|lDZ*W)xNDp!sMG55wVvgTLIQF@;az2Ym zIgM|W#Yj-*J7Hj!31IZws>RGQTu#d{aMM!gdvaA{w9yTt*TTFWU6&m**orYFop|_` z-{{vTf^&vjk`}QeB}@C4vMn>dRYH4056EYDtj{X8j-J)%!TVM7gr*VB-l*g#4dzX1 zc75W`q`3?a)VDpZPF%7-Wf~W_MO#(qV5BKLmUYwMpkv4`mgE_m>*t3npSv?rUe%-NUm_IurVKQQ zH6ott5}xt>)D^8HZ9Q;f7emQQj(rxN^f4J-Ff$pYcq}Tr8M3mn07C(=qS$vWzcb1E zGLn6UT@&DnijNl5e2hYk1{eP0%naG?y!mM1;{|QNKiW3Y(`1H#hkwP#8h&bC2CT7+ zM+HEj42wDZg77{<%s}n1m(9s`h2~<3rA*uM;sxPRCL+)l@WWE^#bH&1LSzQ{Kl30h ztufLCOw+IYibDjTa{#wd3HNd)U7(sV<*2o0>KT7X=AcjF;kzprT^}$l z5+ebOtL(uu2VP(UF_gY9^uM0lFaovH69yW6^5~V|O|-L3Y2?{OsWEh2qv?({wB(y@ z!WjN~jA#!zGYZRynua%SNw~dq#v^wwi(A9&_%tgp?(c^jlg^i@ar+V~)=O&3RvA?O zwNtt@Sa7~xS@;}i+HidMH0eQq$i30~!vH1nKH?J&RJL99Nb>7#l?N<#ImjEnrGK`E{&dD$KS2D9qUEd7{I* z2h8jK0j;}t_%OVR*g8@$H$FZ-kGdqciLON1rLWMiY;c!Z^l2;9H5s67KlZFrNsWwj zoFNO@f5-}HaS9sI_<~m0lv%TD337A!!b@_l5I%fME4iMJrX#dd9&tjQA7XlB`$;&+scJ6gY59p7|z5D zPFeOEny|#I-^T!<9EC`NUY%U?(yIz*+kBx`;7R_~B0lc+iX8-M2A$2B;s;-U4-YtF zWsv+9T2Fg>pEinXZ;VL>X_14z!F@5G2&Y5cm>^gJ;(R>0SI#c0SU3vI5%m{n$i^`x zs4`qw)OsBHM*|iTYDiyk&3c1*ctHljkvu7mkf4lX}vZ zQHOxCnEsLT$m>TfYlwZUb_5W3)m?j?v;?CdyauK+XC16zWRdJ~m)A`v>t z9_dvgDUb`tjiI(LD(AZx)?7tsNFO&-K$q^>}17A~sTr+l9a3am)Q zU+qA}5Zt=jV#t!Jai||rO+`cyBL&o?Ws0>liaQ4Ro*WccKRytxCip_|K^*5d%*b67 zkGjAp3+F)(6rv+dlzRoL#AzziQp_Q)@XEaD@$Qe)JxT}jvu4@{-)DLLUv-wGbYg9%qR{vu3b~uHGk_+v2{XUSe>$f&mi z7qgM~$7yJTn5y9K7p}g>(9YkTnG#&TA|+zaa2ud{74mz+*CHwXaTdnZ`0hciU75W4 zPgG&SO=&Z+uiN(lOFIZ1QL*i0KctbwJ22=FWu0;b8-hLcdVj@)iLZY-VmAdQd_{5VB zG_D=tw#-$2(*ckQ(&F&A9??!sTsP(}iW=~JskTS8pj!1FuId;r654{_K|OGX;Z=+} zdyZLT@@Am)G6!&5=p`{Pel7?0=VYYCsu*!`!Cz}3&Bsy7?)Jg`+7gscqawD)oSx5oXTtu42(Fl2(u2f2prqLeR3tes3F7f7GSNVC=T|?gPtmT0vLdwG(2V zB$u*5lzPSIs!76rUUg`v_qGQ|EX3=+L1bi7v1d11VOq9Gm?;lwhWa72nw1!R#1+0-cI%qvLdRQVpG~07sSOg#3Szx>fF{pOB{>sqtYs6O~AkdafdaL zwPvL`9%*)f=>ve*n<97$d}FgAHw>+A>HC5vVjIB1yg++7YR|PB97^Er;!?k2k5RBX zZ#LHhI;0#ic6gb@zg|Qm7Zoe|Qc+_a0kzY;RZCU0Do6DLjRLl;+ns2|;kS&5+oWw= ztQt>h*@fM;KEjQjs`21+Nda-o7gqCW|~ zF*=ewiJ(abuQ#2B+T@;$e>fQ@YiYX&nL7vi=ild+ObV&;d?6k_%Yy!1{fzIB3ECH5 zTw_bVsC*YoBVB8D;7?b`ddwL|q#Ss;@vg?#RO?jvse#(1^e2#CW$va}b<=F{2L*%Y zH=pd__2k#;u&}{L%E`*A`K~Ihg_JTa5-*kv{Wa9E;`=m-Gfxo|{di+~b4=(xiq(|< zeu$39d9d8w)Ay=0PlSWo$NWb`h>Vh;;;$P2e9b%9JQ6jJNMXua^6IOZLL^~XmczND z8jNle?GTMQ_h(NSIIvJpt%!~HYtZ7N1e-r39I~Q|uD9nbW<5&(Af16kCpc7x295$? zs-Tjjl__@Zlie8-DoO&F+Q0c_3`Zj{!k!JGTT>`VuTwUc$~qY$n_CUl2VXV#k21D= zq+)qJ3N3f!VPgiw4?xr%C6zTTk^MZ+$FDJiXo$aJPWwUq3%S8)dD_u86B=YZ{|>(w zqMs>4`36x~2YoL`*L(QL_1fJ{Pt5-NaQ(izA7~Yr|9?Qc)E<&OaN8&6RURHEg>N?R?KnC7kYUG_9X=V@rUL(L?CBBy(QaVLhx-q6gRo zjnH-3TO&sFdHkjF)URp5dAJP-Ujh%{0BRBSPi7fu*GXW+%l7I%u4I^MR~$GEsi5#Z zu4W!gMjcdd(1{)|VW43^P=*)wj<7}pwdL| zQH6gd@b>8%6uCx}n-I&eNNZ|xIc;R`=%nuIL(dyr64n z63C!P!fb=epT^IF#u}SP^Wi4 zBV!Z0XT1}&VGPXng_9<{399cRNswlR(|X$l?o<`Rmdkn(P>kLw)nOIeFVryn-N|ib z5vEpO-98*j47sm#AHozVF0PmS>r5hl=Cm!Pv)TH&!SE*=hG{* zCSA|EZkgF|9PR*Y#vD)4j0|p*l?#zenvPsVaENt*q;C$b`fcc{eRX2avP<)0WhIVv z;>ppOHPYSY?OB*8R7g6C7c)z2Lx_ry8CWTK4&^-(_VX{g4&lpNZCOw1ltM4BAGfZ^ z}R~6Ao_)ob4FYha(|6cfpvJkmSo!s(B^?A zAvX&%{6eZD;uk^R00b)oLBDEZGBUt+*XyllwAHXj9bd5_cSgh%G+ITWVK>K(hR)Q> za`~0aktjM)L=^e-JFCf$Dai!FGGTcu2YAJa`0`rkPXGCvmUfvYh0Uu>I8Ry#C$=&k zs3~mAH!5nTm82@)lba7Le0h@=zdnc!z`QF0Y1qO?k}Bs((yO-`r2Ha6h1(<=(Ongf z;Ay4&Kd!q~>2{U1+Jw<#{;BCKCej?m!}ctIfE)Q`?95oS@quGJ8!-=#1N8{iRk$j7 zRS=gv&<(Vf2WIqi(>)ev;POZ2pjMK`S}HU+9jNI$4yhq5KEM1J1)avgD~C-Yy7cu6 z)qXsPH_N|(vr<8->KJ1_q>^5=DH3M52Nb=!Ky0si7Szm}&U3q74XM?)QWOxtf+fsX zeqhh>c2!zpAafAcU&0HMji%SaYFQCrwq}M}$UvOBUjWVFnpw_(MF$A44)Md{#iR~i z`$Q?i5cP$OhH%Xq5Wc>!;`fx?4gFmOr%XWvn5m!NJptkF<2`Kc>s{UAcWByZa>0+B zif%40mlxaOa0NQ`OlBNxTWNid?sv&$EE;e7>y{jdet}i|F`v6_dCx&H-M$s zO2ZQ?rN6dvefarTwD`(CSdM&CL%%%M#w(2vnjwT^ya#` z-Im9nkQ0WDSqj{S9Np=B$)@M$17S}b{w2pI_ssp|k`6u>AY|$Yh!3}*m~B&+PURc` zwuV1Tm2=;n5oNL7TL?RGjy<=nn|SN=5Ke@EI(2%?3}9`IfW#AVCE(i&buK>*wBr19 zn~WNSI%5ARq)9ake`b9Mv51?IEu*+ozz1=@wxcRC`2bAAlMHtVG?PRN-*p>Wl?$H& z9>$Zf*abIx0(ub;`WBKgxG0x0TZHuQri{Mg$3WHo~K<9#xi`rdlj7$ z=P{)tM_}<@09h|dlgFwM6T+$-+wn<}X1Z!z^+XJ8Cy0U2+0tQU%negK3mt~W+x1x(e z&6@QDzy1rA_NAw$;tS~zR-feFIOWj1l-%@94DLH$*1B=C9{&+iJW5|;;eaMzO(2^a zfiTWJ524%39I;M0Xv+vqrMf^QjRk5Pt~t(JZtvcms~{BJ+wm3+X6cj6SYHM@sc16i)yeraDqz6Cb--?#47 zz!6=9DetRd=I`%W&{+32Yb^j5oF~|V)%c7Qd6obI@#uX_egGWsN)L@ZYevoTnK7e+ z_0!0hv2PMU4Dv)85t=PT&X3qwH94N^CQ>^jM7~7d^l+XeFLG}Ec!GwJ6S+1`(v4J< z9UPGvYh3tru2A;4LQe}g2bU$saZq)VMEV-XK{Qe7sCI^H?qN5T{RHpls|e61hB47@ zPs&+BS}VHd&qlmT)Rhf=pO=x!>sEhk#6wA8`msKy4g2?$_LcN#WhY&WD}@#WQ`2Yi z5%s`LHE+=2SAVYgs^nNvE*l#)% z(Gdr^M*&f;Ykzfw7q@}RIDV4@6_wDc#el`U{muZJ=eL51wsf;RDg2h^hF94!qZP1X z;paL%DS{Pu#m#Wuu*ZWOAGES@D8jn5JVn8`J+;`(UFehh(u|_1F3HaLi&q_6WH0AQ zb2JvWGyd=GO%I>cQWNEF`M8ccH`b#Tfeakqda;2$Mmv=&ua~C|?7)?#pKRk`^+tH~ zFN;f!D9NJqx&+&An@I0hn++hs0wAwoBLhRjce@i1D$+>tV+dDjtYPzDEb}T2!uMP6kz8vc@wAW( z5@+q2fePf2OQwO}8pEIDbdxC6ywqH#p)?x`7<5b}Iri+L0Ceabhxp>mOnFl(HMMHW zlY3LNP??)*!j`;*M~UNfaE4Pd3a^A@D||NQ<8oa~1)Pmx3(S`veRf%?$C*rME4mat zxaenY%py4SrBhJVMJAEI05JhQOGo)kUyRqV>AX9!r-$7OgS;bg4I4>Ya@swU=>X0m z-yA@|towQA8Vy9EcvyL@>_i;chQODVA4#g?~Eg0&rI`pok%*F58w zn`NLo(ao`WrGiPoiyv?w7O<5|Khkme^09ijZ*N4^_iZmx*&pEBfpfE@<3J(VJ6N`B zx7I@!8z^)E)|xRCFlGQ2 zXv4ysrg+`6*es>cb)=Q?fmA=E78f7^CB(mf`|@p{(^t&uw|IM56-w0&IxQuqwf}Bf z3@eqYmqEr3*r0EW(noxo^Sz~J6D|+QgzDC2?yIL@MIlx(!2w#MY~V%3VJ1~?_kq*N z5j5=plp%KnzYeZuY(f>n_iS-?ac~#iXyOK^#}mfL>4i0|QHArZCR%W!bkR{QqX;^b zRQ4LcbV}d>BfF@IJJ(a)swFM+J>MbGG2ri?WK-kq8imwB2ce|;%_?^75C_?)*HGb{X5#gz4Xugy?CdtCDe z$w*h>D=nX2EYw!aAC>mDwyj6iqwT#tAWd*q_O1Tr_zB21IW66VUGO$w(~>_DM(U=5 zotGiecVS%NoR_wSP)!Cc+`iZfrmuoc3<4^WN^1vgrwqScVic~*c4ti;%xga+pdM|I zv`*fz$|+h6)O$J7Y4hCKL4}b)(XqKRYNf+|EzbDVYynbwK>19)N4)PHb{+THrRR1Q zkNsPuO&#Jl)U+ke%}nYi<5dT4zqrDabfGPPJzn*)wfE=*;Lc^R~*bFp3}fxt)Oc7vEC7OUv1u6Zez)!6u47b)34+Usi>&Kkp)R67L-JI|Hzp!7h&}QNvntv@0y1kbc1LA!ZK0T7GitAhwd>@2 zzVthua&RzikYvPfU#Xyt@Ml$epeFdQ2raK7%!_PkZ@b$uYvH^JNTq@JBv)AhGJ3EK8Xha3%cEe;l1t$PV2h7T1*u(=dh z@v9NBG|p@e@8xI`&#s1h4j9?g>*z^5!B1%N+`rRTkCZ1_Nb7|quq1P0d^)VnI4P1f8uX=8hdEl5b#iB_>98Vvl!> zel5`ycfaXBI=(~K>8jQBUo3#=0sGLoE`2PbYhamYLT+;{H z0N2yJsDtDz1j^Tf)9gPTUU`X@@Qyu2a&GYsWJXR1P9=(d)2&fQ~qz$7(7fxk~UEUXz?8p$-P*M;|PBdr(MnCLg2f zyj8#=xxo1&A8PQ|2;?J_s$S;vxggu|$HhuIPA((gZVHRphq9b1-Nne?(~WCsn3{uW z`d)c(B-^k$OO=%nUss4{l4^4KM_tPv79x>k+7?z@hM&3t=CexjrAV^m&Nn3t<^8T1 z&cDe{&OC8aJbq1FUR?y0I>8w%%^;4cAGvE7Z2DTy_#?eQ9A`Y7WgT(6z()KYx0t1y2EWuR#eJ|qs}Hfb1r}lbQD}vn|b=TPXo#HffAwvq{NBTrA98tiQOH8Hr@N+%nt$U3dUkj$kV=ue>yE;Iw-w(`w8Q&!qoIpF8~!}-1=fE$T*+d zne#?1jPsz@(P){R5y(#9ofj*Wo90UnAyf=FlDna~y)P~ts3v7XkzV+4jL0z?|L)Jn zlSSk7BC=tl_(l8E(%2elN86LjWg=xGv2+HKHVF&OsWek+RJXKf%ho-qB6oUj;%_Uv z9&uqZ`*5QZiIhLYeKoH1AKKjnSzktt94Om@zTl}c-Yf!v~8k`MhC^8M% z_5Ox6Hv$=`A+q-@ltnuPfH3s;V%w*qq*(0W8y8dL%I>A^B!X)hsw|o?@JgKD`X+q_ z9NS)P(vi+K+?KN!h6fi^6x#35Tryshf*mw)ybLRYAjkWiMVQDb?aj^IDgv{r(^58l zRG#)OT7(XauwrnSGaGDzQ83AN53b`WS(vLNKs;SARuW$^{Au{~i2O6`dAV0%+U!k) zuZV9#B$2F`ywPrXZ;LXS6*LmA$0Ky(N;osNZ>ri<)$*UWN{iZaG_20A2g}_Bh=Rf!*Yr83)DM1!De}5Ltuokpya{A$(vMnbd zaV9Y86tNwiu-mOxDhiW(VZiZN{Pg424X8+UrYb5BWDu;3EY~@SfczFzW)H-y)=%~& zIMQ7sfxGLVe!yD!tVCC&6#R!to|rPz!{x6a_cwNusffDT74Ln%%cWj6Rsl+PE+kgy z=nf$q3f)x}8LGJ|@9Wvh<)$-K@bm$H5;yAUMX<{4=pnwY#Ak50YW(rL|L)p7f^k&5ELpw#t}>sxbL5czLif zdvEW)WZbSo@ZFJi1rAq;qZ(EZ5l_5z!-D zE$4?1?RDY3kMx38BMx^Osv=q0&3P!u^r=9CSjQRa86*C5Q{ORdDxd4U^1h2 zeeVm4i5XEOzD+njc2|&&FTt%*WFyD9nrzHW9T-P^2(?LCoTa$oh{9Dlm0bI1&#y!` zk{HF~jxK&mUEY5M2pV*P`j!p&;5#LGxoV_2N!Mp&JZ&;A-%JO#kHoHB$A`KR26C#@ zWk{}QkY(wdb9qpK;%P{dBT2~}6ch=2&7g29`4 z3%OR!a}TvUnS`a(dn_YufyI`WiQg`yn%iAO@B%G1Ym!G;m;LcUkWkCOn!h(AnH=Am z2qrS^7m6<^+Ggm}EBKhWizSmQ*s{wYQ=7MW3O)I)ksdlW6Y0ymYt=2X)uhRz#8-iM zMUobKX+^fe)Gr(7Pt<-?)7t2YCO|{%uAe_g%zY`GF3ULJY24S%PtYT}O-9_y2))4mr#F^JvTfh^1p`evF@8s% zZYm9Wc=KKE4{6-D|MJ_2 zxr(u+aSYOoexy;~#1^26KTb>Q(?=^!^PC=uomrZ~P(rw$j{=zVri#P9U^b9fw%~Pn zB+wG6K!^n}e%eLw8BLJP-n89AhO}&O-*7~^_!!i3+G<65k=Rt!4RB7I?p8eO39B!$ zuMFL;`x1Tfi3+%7w2GdW3NwtM3T?s{fz=`tvwt{g?~0$+9Sw%RS+)9mW8)y z#vH(ssn+ry;*p~&pgo=&eJsA_WcZksv+w#m-H?x|m8y!@JFJXM&94NAzxv{p^{ z(vya0b2}d)C!O7`Uc^iUnv*FGIJ*SK7=Y!HH~VJz^*kaQ#XbmWXJ`?_)3V1;`sqFX zux^CL4ZPy(`(gt{wIX|XCynl^)>c1amGa4NSt!gW>MS)#+taF5FXnoX`%z=^YDY&4 z{9%e1WRnSnhI@R>`%ZnL$O?>8i>iSFz(hbqk8GNWwBcBytE&t^H&&|aAtM2Ww7EpyilBy}2n2{X3gXmbd* z2{s6r%!^A)npkh@;NN1*3*9xieV4#x#YClfjZW$Ru^hCoJ0G>hlBYeepdM|u^2NR- zM#J=56nSGIPh(WLw_-E2H>F5g=`ew3-sHbV!7Op~UW2l>$lyhJrw@N*T~~yN;I5L| z^29fLWKKk0h3+V$XsA!c2h^WBr)X$Hjt;afG4SlX{45a z*D+#1W?(J2I)958*(8wpt{dey|Kw(b3W?#zYA6x!k~u@5Qp>L>QVUNo8wThg0|ONP z3uqx+*E7%lVlPq8CwM5aPcj*9)k+~lUQjaPmP>^$fw(2K3J!`AX~y@rxz}j z&&z(n+~+lr&6_vl$LLxLG;hR>xb69gs`QgE9*jw0!$EslW-nXH7I3L25=yxMs~N-R zD8(0LN;hbfUa>}v$#EtEGr&qcsC}{xVOxuPR}P^u|54`K1uOZ!h2pX84D+gqUo9tm zeaDUwJEBwto|tp5F57yo?nWQ_U75x~j@s!`)H~Xpkd^To6Wm`M^k`SNJQc9sn!YX= zTjN3=q{%4ae2OfqcrCb6zY@10+Bh?mtr{QPYPZ8ZJ1^lg@&|$W6+DHt^F?6Zym=YW3`lOWIaw;l5# z-j)$5tsx^d`SG&*%46vj_N^e*u%rC%O@YO^_z`Qd0~&yt%47kc%Xr z1D0X}W7Z-kLQgtTXE5=5?^5tM;TX<315_*gWx#I@I3i!mmf8nq9vW&qdK$)zHeVJfph@lw zbG1QF=wb(tE(v4{E=y-6JIVe{-Bd|q2b&XTBF8cmk~)ao*CNja6y2B#RIagr3zdC+ zV4?*YQiXEMhp${xn*)D+Zf(}WR)2X3Qv=$T$&+fsk!BCg52%?!;jAV2==d0JmoabO zu=)!iRi6uU<6#)cQ&!DrXy@(%Tc-1XR_TQ{cO^n5!j~?Y;6I6SH_RT7;!LE7rhg($g}yJiUfYlVT}9NjsT-ADxH?HoC+HEfFVok|co=#QWs(^m%neji1MI zl?8||5}x!gL+gcHO|&GhgpNQm$ER?+cP5 zH&1vRw0{r*8!^F@@6`O(( z;`&+dOV6_YpVq_VAD;l_JbMs53|t2KD25|CccC{s}nmiwFr7B&vhaC%Uy2h_)0@ zN31ki)IlhGnMzumUG442INNo|-4vWf2w3dTT@o0s0>GSgle^DCHFPJ46d=@~#Q;^6 z+69Pj-bhS@+6(~?>04cv%hx2tjkc@ff_amB*)_eNhJ8VCglL<H35lna#Wjh;?JM%?czx7y^3Hvh9;<+=UjcmbMve3 z*S1>+W#ysj`)9~f&3wF@KAMM)1Cj5t1+opZm11z%<3uby`UH)>rQJ!%CbeP&kD@4; z_Y2WyA0g=^w2D08w-7`~GJ+o|@mH%1Q@+8rg=_uTQl+O%RjA%XAzlE0H=Ca-J0AV< zzni-wcc*}A+suSyqB-37sl3&(jg(+?u7ZO5pRdcRc*K*o;a{O!iJ~%7O|oy%Mtsm- z`x+BH>rRR{tORv_BLs`+F5RWET9H=uwGx!_>U2fY(}_!Mgkh2yIw2{2_qRlzHVCBD zB-?b2sv-U6>AcQ%qFI1ILjLVtvSgsW4UWl${LEE!tB&Hay!6=HofIV^&j0=c90W*j zZy9N6`M75g#;xn%+Ah{Zp_bO|irqcD7i-Ut;6J)cO>PwbG_!#pqK1U$j;)3wfJ%Ay zH;i2q1IS4qJ-$|ojaNNR@yfde6(z+{PePO$DGCEq~Bt{Ck>Dq0g@ znDRmP&ADxBBl+N~LaP8m9XEduoo8jESVE%3wfI-rGHb_H*oL@S^wKa2w6KAYk)I&v z!Aq6sL@##jcLeh}P>x`(T!3d#3Z4;9b*A~1xj_^5)3BY%@=UG8IcuWrFO2of6%Nvk z{|QvaU6*#Ofhzyo46Wsq0#w7`aT0gao8wJoAl>4!x$2etcvq1!i8S`-&9ueir3n|x@M||lnn2H z5sdo}YD9&1!|Fuu)4=P2Ma6ytxr2j)MM#@|pulxNL?N`qqj77-;wx!1lj8s~irnd2 zbMn_lRytSu!-8V}cx-zG)Ci$0`fwf0^xZixb@t1wW z&NdaJgcG@&*z2C|^N)l>5#y)F$B{W}K1G=x1FSi_PLz50^iPRJkrY~k3Ln=ZOtcDP z=rlG>i{_94@2w5o`q8nKI`VL=)3;oI;_meHTW={1>!Yr0r88i<)1v7MQ*o_Tp*bI#bW#5gZd!iTtXhwqEY$dt)JQDLm z<*|Yb*Nw_0w7CYV{m)lFcr_qVJCa&fT7$M!8ThEF>&5yTL90+@$@h8?KyY}3bQmW- zY1F!mCX*|*2*f5A;VXP!{WVmlb!B6qGz)|z68=Na9Jj8~<=NTHZT$hdx|R((@{E+6 z05W$hnX#mKCNxbmK`oQG2O;1NI)@E!$|N5Qj{z*$=*ye`va=lr8O|s~_mo>%vuoCIj!+ zxxvv5NR<9_>=xoi?b7Z}1h}C*Qf7v7;3KcQN!-jpkO$wd;qG91%=!LDr5@n5MM03~ z>S4^bd9_#&+NzB}f%QRK$@A)?_t(JW56ktfQ^{kO1P3>}e6(M=ywN~|eT|v$+#Kl@ z;vf5QT9_$dd0kM{|ey=+ld;{JMu7@}x zB$X?TT5*RmGJC&Q=!PjBHDo#dMWwzvEwzZCo@_G5-1HXbjMoJD|RR^ zRdU{g%JpI}-T8OO@{U9a!*J{>83-c{$Ct@7@kx^qNdk6D8Ge#nu z44a$vezprj927HpI=lBmb<@JidT1FpmUc9>&^oq%YFj0WvW_wfuV?W>&wHYY9TceB zzpvLnwCVfSX(q{LfFyS@FR(Pox)wtndK^8C6IO)|@(fH9zR;F4`XjcUk90q3k1C-;mY!u+YA+SxiHM^j^{b z=PAIfs(4h$+d?`$uLHoWjcF@pxbj#(MuVp=6|b?_8KUF`z}?z(oE1z_wn7<(RXnJ+ zPB=uac|6p-fimPC;3#!v7q{IeU7Zr217TDD-}xhOBIygaJf{C3Ljj)zf;kf5*{2FJYN*#{%kpa*^QI!K??J8o!Ci2P; z(@MiDKk{p^V1|%)d00*D)IajyAKSNYo&yz#%gbb7_qO6B+rKV-=bL>?vFPRkqE+a- zv>?@J5ghJj$N32dD;3Um1;yDSn%wSm8vG;A5Ak&?e)iVjn_5bI*a^xj&;6jc&b(%= zoe%yP`%0B)4+#aSuO@R!s`d9l)r?gLR6P>1Q*n>J1pr#+m!&)+_uv(I4l;>l`r+?h zo%%YvO$ti#AJ*-t>d&V}5?hr`5a&pxd6j<|Q+IGyU=qM+lb2FCNiZ5}uCeCOriv$4 zaF+_pHI8O)CXTY6N-=C|nIdvaPSSrWo@*+Tw@7D-9bwEZ zM=Yt5OY@5V;9#3*OFpToh+`e+m&g{IP%z-8*P~4vOO1=nkPUq6@8grv}SpW$_fxgo6dM_Y9t=Lt^*qNb8E@s%vW zdj^-6(>Epz)_Z*(sQT74>$FY^yydy>{5y=6g_wR$pB_kbk1cer~7oo~xljRgzrJurwauw|vk z2^W(%EkZY=SJa4^eWxF*JuQW)%MT)OXhV%zt|LxUkkwASk5=dP$5g)W<-L?$^W$i| zvlhu~w+!TUe^aI^Jx?eVfP-P=)VjT*jAn7LTl-axKXd%5%D25jNZ)qWPdlFO0E@oN zE19Y=FI`&4Q@4krVx#0F&YF7~R@T-RD*?~eJK~<|geAm9^3E|tyuN1V_g22#qFitD z{tu${v62#3*eq?_+MdZKf#;-(68xg6%3AG!5(}(eLVpB~XkL1<5cCK{!vK8z%(17C zl^F{cU{V8G)~Kk8-3!+MwCYn5{)`8plU8-Zt;5;JDp7p=1-^SzHXE6Qh_ylw^8Z}eY97%HCMf7ZJ9t{-|TXAfQ%#&OmPt znAfqGgY`O##M!aG#)A7*D{eD;=wH_p>YB4!G69bV?JZ@5zY8ErMARtxz9-EYLhWqU zVKH0U-7`o51?{VOVN_`L`HxR;xcVI~P%OFU5fu3%m?j5uk<_GMEJ(1mC4DM9;~rn# zK?z6AuyZ+k-WUC|j18*LWQ^IPO{yMuHu(>#X$Yk83-#`!2+{>I!b7Zo_T6!|+_h_U z@QVGksY2^F?9wvka~L1~(yen*9++aYX(7=HDOD^-M7Tj)`R7DDh1TFm22SAcx|4Qw zSLkH&kz=%$_O@v3pMxg(Cp=*7^H%3 zvS-@W+3)ko!I#DjR$lUTyk$ZMUhk+6V^h_8o;aAK#Jd`(&rE|z_Nu6<4fypot~xAJ z;a-%oUU1}=6_GW*@pu_^Rp}Ut2OyYe?FxkftsCCIIEXQGo@9nxU`yO9p8 zkz}WHq~T33J= z39f(f;+S=``Gm*H*D|$f=A&(uc&E%$MP`K-^Sb4VBc`9DAM4=~MQHbxKD+w~_ZpLA zs-%J;fXIyyk`Zk2#~LMn+vIsPAl>7+yz9Pv+`1Pt!eb(QdM-=CvNs7I?yR6Sh;%Y@ z&(P$(Usd>7LxO&Y>P{m!ZS+-l4$n@~8ZqiwqahKNErSw5CuBxFS*B^nIVp;GFV2(~ z2QOfUMPL5?aVJDrcQi9@sM&oj7;qc#WH zDemLX2$dU3>+4@$9}+ME6+JRaI30 zJZCx}?k(2Ea3VA8Brl}h(ve@G2P7PD@dGu3{u;1@2>+?DcGs{S>9DwDuEJ;{Usv}w zcmt6ZF_J@CFKa9#ITzGV>6@6PIw$cO`AU-r3dstfR zdG-2#WpYPK)x-~a)=tQ7o#}$W*kW3=#^?K-{zkfW%->sxsy?Bw;u_BZ+_1C@T=vG7 z61%ud4-gUPSPuBVJaYB&c){v+$^12&yBTi9Tak=SVaZzq4@#Oo^kTc8^q3>Ji`y>d zTcuR9e|QoSGyH8fUF#M17dOH}`np;vlAv(XB_=1fxL+#adYS-0;6~rkRzD`rCP{4; z_Um-H7dou+SvO6YWM5XtiUe!fBHDSYe2Q;4UK2Mm0=AU%KvDv=e4wr3_OD z&dKZ1JbmK%MWE)2I2YjzCNE&&xr)G{eAOfaapT)L?0?;zHvX0*Dz*b-ud03YnVl@+ zNh~h-ipUEnL4vKY#N#G+C+GWXX-#Aom3JMBy3Z|L3(7C>>fmnJ-rOF)Ha~IO(k>j( zf8#A}znHZ{9JL2TF)At}5f)^`WRBD4zpvhcf$%eW1PvNWXpWZ4?0MID~sXV}}8Ix&hJ@m8(Wp_>a_V z9`eR_>?a9>eGJul1&E;bADsBF2v|Q3V>i81wjSKQ1okE9Ld03R)VNS>L9*o7ulE{e z8g{Kj>$I<*exL-#0sRaB$#%`HTuSxj)vgrE8KC1$zaj-n2YQG$DL?q{yLt}plr|2! zEq@7#DARV)X{fZHOzeA@xf;5sMOSNfqZ(q|3;Z)-a-B9b{%LRcKyeO)00PNNebg*j znB0S#^fM;y#r35p4GkqD6q#FiG1U)g{ynvZkCbOAy3~HF9CcjV<1@PTSuAH`A5Ykr zgRn+9yw!RmRNZC_B-iyUKX4L-9lxcEnh576HNuBVYPZ*rcJ-``_J0oi{d%B31e;y7 zk&EqP;M=c`{K>HJIkaC^Cs%!p63v(_L2e=^U|R?IEKf5{52T#>tjGm=&mr z1O9;SqI0lv$-c{-Ok9%=e`jyo3|Y)Sp$>~{W7EdKzj27da~7*r4&!ffgh$`x>-#=~ zjiiM`8~druY7Lib7~C_}Kj~oM=gcq~-LxQ&0H_j<`NX?wA-`VXY7as@X$Eoiih?gz zS^S?lOJ6%>VWM8*HqeY`gK_X)`9Y{)FTX1fVO@ zesXtr-*O@)7vE{UI$iz;7(G!CE!(O&--sj__4r#fFUTc@VmyGoF~oS{BKrT;o~2)r z6*!B)qU4gj1XkNumDk*xV-{P>iKj+*#gR@nh~yZz)JMxIjYwLZQIh-ba%zIh;`Cm! zFLUNOQ%3;`E$QmzRKw%AYgTNtvt@evzbK|P}IrRp;%SU3Rr4hAxTb_b-Wv6oT`MOk!1|?43 zsCYrA)gHp0{z;CX%4(j*%}`)HCm+5DrWW$0#b;~_|047FeBGR2Md*HualrEK(C525 zr0GGP=Du+Zba=m*3fI#!))8; z86&sL^9P-B*=+gKl5=T#2#EgEDc71$Hk1sqh}!$OCw2AAOjaWfF>(SmPr%7l`^8Kf z^grfCFv!_}ZyYQ4w%R>V(y78kKwW*{E=zi4ik4~`79I`|m-MRkE%L)X z&NoELf0;pDY53g#+|ZIvJ*Fvt`KFW7O{O{e<{>AU^aXhD0b!1OsB+4dF+3buKul~> z@MYiR*(y1_Y`U1^xsQn)$GG6nePyk@XyW+k=(u^|8RN%Ojuq)z#NrQ5{2dlW{agvt zoC+IjayelPOq8A!_G7dg8Y@)KmZ2tz7D=T;IGsKhC3fPz z3Qn&uokMF7XN%=!uRK-t{!Rw+2OYKMBWuQ=d1Zz*2Q4fv_Bpa-k+Lye$HodqKSYY9 zg2M~4ofWJ@`$Xjt1N10dK(-kGBdy-)VVCAbpxD#T575b#sm$C<-iKy-HaV_2?=Q!5 zk`}B}@ln@m;A|>+t%mMD95>+=FBny|i)shuP{5GoqyiY4k_m%q6qEn~W`^n%Zn}W+KpY{2Y+nt4z)-0Id*|LI492r* zU!Lm!aD^l5y?DBqs{F9-LkKBQ&bBUJl&j;5WYJo%Fnd=%ng0;c*}z~3wF_V3VU=k( zs9Fz#cYgl&MDV(v{Fgl20W96uVMh;!`=skA&cWAsxAq}_7X`cfMFyO2=dobx9h!Pl z@5kRKyD(HQafJ6;6hfb3BMK6S4$q2Xa7sSttI#e*@3GM_7wd8DaQkE?e+a^&ef_rx zoAb!|4PkH@hq&c*LbM^C755_6YMDD`vVvk7xG1yg{pB)Z!~p}`ulxD-n$|1UHbOWS zu{aT*@K;5yQn^VO^(ow`Em@V4*;UsY_J@!i!Vv;>5P-~6OMfD20_ZAJRsP9o8tBB; zU}Z2J=@lX*sTH~!O=)_YuvfP;)-(LtHxl-#V(G}Paw?H0Q7a>IK6ug5&1^8iT85;s zG4ojjtzVZd(Qr`CTZ&n?6qd25Iu z4PX)|e>LRzz2HquOys4vZIryp%UoO8KEqlF3#ue>`_1=nSn7nx@~YVpd^BAs3n1|Y zzqn5T_3sX=#Eni*Ttw52P6m#ejMyx*O;64tZ>Po12wpGW`JJ7Sd~;HNcMz`L&bOYj$@d7Hh1wsuo#@ibHPr{%l_=Y z{QD?YDVqKjEIXj`o|FgS=M@y42}5%(L&lmT!FI?A^d^A@wLz{dP8&v; zG=2bElM9%)ziX%^FK<-g6Ue5BaWvjmO1Lpo+&U?6efn{*^BKJZu zRt?4cnIKtHD}e>7KrAP+AOst^H@SI2ssPp1SR7}v2wm%#Br_^+KuXgeSVhB$SG2)) zU7NvO2U$S=QsDkrmdHGg4h#~f%io>btF=^{3~eytGG(PrI8uZI zrtUkEob2rVEMTKQq`SWP_rr4_-4TOO8sC!8;1FCHCfxT!t*ZNRKcRA^nPUla)ipZN zI*Iw-V7-0)Qj+BAl@Ek@9H(heb~*`$vZA~w^@)i5sv67w%XCFO_UX`0?;bN9%e#$N zM_^72aw-JvQQQdaos9HzVH-ofi`Q zh)0a3*5QyRrscR-mB4k8%pFMh<&kFFkSDAdTy*Qzp`>M>GZ=L zK3&P@huc?-94;~s_r@AYu z*?x?$ACM#Q!_{_F3CEcD3MnJch!_^Cfg;Xb-N2KDR_~2|LG>9tc5gU&Ky<_n71VWn zJyP8HAnkCWl|>7_&#m3dex&WQgsM-?`GXTZmZDI!Z~Kp+IyHN`LYf@UGsX7bzocQH zGMbqH8peq1&v(D~0Z`$(Vc_X)v5yCtL`zmh*3WkkvnnI9JMI4yPLOV0!RX+N&NYn> z)Ug2mV(bYig3q5YuLi(Sf5Q>x!`kLVWvz0!7Y2R=pHrmRhpoGeltqJ^#eszPq54@<|$ z;H(kJQcxs(rmM=e$!7jJ(%y}^H72PcfBKMXotfZ`D_X9`*i4V6V>9)VC%vBe1?WA) z-ZQgG4i6()uzjqj`p(>IW?+;iXbD&75c=BeeJ@pPfcG2zI`fPj)>|#)=Jo~-Z?T71 z97}H2;phIX2;rspN)Ntw(NggkU(VZX%=lW-#)$g*kjZmPw4xK{-Sz;K8eRS~zv)Cs zK!(@50%&THGum2PBUvC%5ot8GcywPke185_nE2dcIFm6ExMh!15Y(9T6t7G5x00Ta zLDV`Fq>w_1gZ`;)YrYn9^T#4`Yj)PI>~RUlds<_*5KFf%Uu@;q-rTS>i;lkiYZhhb|{+oGDC(_@^lI*E9Nl9lL9fH3v!?vPS$3|dAJ4%^Q6^B)b)=4=WGb3I1C zk~4XYI%-zu?<#R-wGMSV%PW(MPMvK>ICc&_8=9>OD_KZ>bg?Pv$5u`k7Y)%)n3=|e z_cl`0q%w$0XaBv9qdgE#aB$Av`HJy*UMJzi-H6|_eWhlNNF(7e(r>t?JeV>w@J?*Q zH=7YGTlyw>uj_tb95(+At;)|(&Uxtm)H!oNGIy@5YF;Z(=$-1%kGwZJ8~9@Lih7z`MFO9oc31OG0%NAC(4X%*y~tMHGULdcHmNWTOx}uv?1sj zO}lZwk+|Zt`?L%gV~M{XjO2mLZ`8qZgGa={^vS)D8wB&Ob2+3mXi@!ittQlHuG2s2 zGVoAEk1&U-a;7^JT)lyXRFZg?CNN@h43Lu*OJ{*Fb)(b6FmrAi*$wj*;FvQuw9# zy&)|vv*;jRiTgYtbac-OAm=&Fm#V$DK>}gHwmC_@myYQ zI;o5HT`9Q|n8#4@B}HFfR09ih{Xb?O>+~f%k zDn;%2-uGuE*GA1neJXuD7+uK&^%c$<5$D3SD8z)7DZ&+~)$Z}o!Q0Qh|9q-)UHrg` z8tqAH!6fSk?PLL_McF^;@yAYq=|}vR^%a8-kHoF;rKg8mF`!dIMk2wzW{38^_}rkA z)*Mya1sstYWoJ%vJ8a(or0ELycI3R1=~;Yvm!-Iph3H4OL3O)rme)F;2Cp-laIzA4 zK!Z~-(r2O-PFvB=#X!L3^dAQCAyOjs7l!y`Aw7?-&9?7pK&c9VsQaxlh?M0Jsc=1? zGM8ly1T(XmO{M)Jc5u4UEwydGO1@!K!w?s4(4n^OaRjQutn2cc2YSZ&*IC zMpu3aqW98r@WAa(hDeKl2`OY-R89VmZ+jxF@e`R~*Bw(|K~WX;*^Lfm_Hb?e%4L$M zZIg#!J~`2w(3ZeV=QYICXfFYM7K0XyUb9dEH3cqA;0Xs#`t93CT^`u(pB7RDI?IK4 z?Pgb0*qJ^rieM&zOS_dKiSF`R>3LQS*!*)^2f|;LdR?&Ky%i~rZHv|?S6b{0(dsGN z$DXJ|EkjNqLxlXiBrgA<>%%QI{nI)^T}qE&_yC;BsAA2fErqWi@)Y`y=sQ_n$%{JpOZ0={x{Us)WhY!wQN94 z%!3{7*!N}v(cjXft&rcNCeJgGij=n$UP;!Yw51G6$g`EyUkKgTY%6^#B`1L%)@3m%A*2RD&edaAI#j$|;>6EKwo;osc;m zQHukqMndKO1DZL_0d+|Zj$l=zJ?beRUrO-xdh5?SdtCZsI5RErYpbWisz}k6@}<2k z)JdUvH_A;oRH(7sT-GF@zL$+*KVwT-PjIAjp_sICZwSmdwLCI!+ESj_=3J*HLTDa# zdAbweiW9g5Dw@_z5@L9NS+?;mK^@rl=M^L`nGM-j;|fvc)p2?1{M+VdIT)Y8e}aGSpYEEOm6!-d>BTpC`=#ha5fhDlEjuzrbb* zq@km2*3qEJZKAo^*=C=E=j}1p+44UWp(lPmrC|E4ed5V}XC5>sGBC`GFu+URwz6oT zIWhVSZ)g#)`xRiqzk%_8vu-%Wz%VLa!V*ql63~q$q3>62W01UX;3_Sys4uJgmUwg@ z*lvx0x((IbXHlWrRLl=(Tv@l5(y2r>cH}m-?oJH}%3qOGST7a3h-``&?vDNuzA(@c zK96B{$T=~$q`b%)=v13v(6mr$b176n60U+jCPoNTi}BK;c0ulzY1Jph(`_Fc&&)Iv2x1$Xr^;NQ4YY$KsQ0@I0hU#7 zQ4)5pWb7-|%ehjz5u* zQs&-)Cc^ZWo*c|pWzc#5wcKTEHM5DCnKbQ_^D^hPC&Yd-ODjlS+a(9jmx+Y)U8u)rFxg+jw>(QMK zw|m1Ps{pRvRd;W|qJa)*wEZd|=6+yY-97_PqgoTdb<5cBrDxsztib4Ms+ z)^&%4H2irGW<+m9o`yCiXXzntR3Kr&kCqh4suLbr4Ed#i;1Z}jQt|eE7G{ArE z+F6$`WeVdr+)m_}spEvpSKdKs&^bF+vymo&k92R~dG9b*o36LosEA!e{2@8EW_7i( zKRWY_jpujrwT}pOtXX1Av(DyF)Tu1`#*~FFVQz zv!E+W8`y%?1FS_E{$)lvm9V zcDmsacAVS9XK$T2{MEbbut&Ss%kdp9cpfTQ9>X5xvn;Dz&O5s}1Ti+6*kOuZU*HZi zsQ5vTfe`dEkCi}NCAbNy6! z(&dE`gZ@pxh9)aoJm?Hvsf9%(#VyYc)J6Y)Uvzgzr86IEvBRhjD7yZH0E*+d2wiOo z+nrw%_UI}}(?*B!)cyJM=a^&dlh@}@D0%-Sf!RI7sMWR#SyC7n#U!lN96OB5>El9Q zej|(!;Ua9MOak!ENS9u^$SsVn)vE{ zNMQXBStfldYeIAL+bh9^!r*xyfxXVP$Yh*j{$uam8RPfNV)#2XUtlTV!3 z5=4$mxiTWtm%l1mPrFo}gh(9lHx_j9ZObr>^W+6bdo zMcX(izkM^I$3c_zq0_76+yv^1s0y*auTtY5j-@n+4e7#}3K>tunG_6PhuUb={AM7B zIm9~wthchph+Gu%$W?}$g-V3=buj0Z3EzR2?8F_AU8uMd11`~1-f01GX|^qf8JfgTzvkwd5BQ3$JB;}mPxw4@u6;Vzoy`*e&R6?eF%tdk zdR}~4+2aG9kmIRwoFRbjbSt%EZp-qz1?t%Fv*a?O#uHG1{$SmT?{tvN1p<@>SVDRt zSG^H|adF~)vxOG-Yyg6O@_fn0a0Z^C(>;^B$>IntFFRZ4aw&oHUmI_ubx)Yk*C6AT z9L)y}tGlcJk#v?(Rdrnyrn_6ZJEXh2yE_D=yHk*q4r!2vOGu}Lba!5mmhSHF_>kM*BR&Wq9*j0># zx5``S9Tdleo;Uf}4gxVf%v_#)iPup2Gv&NRHl7lWqX9ked7C~*7r2S5lqrvt-#uJf zGBxVPA=qy3?pn1OX}G8>wKt_ogO>VYLQC|%9>I~p$vT=q`-H5tT(O|=cn*9jF*YcB zmLeh~i1)lNT1;$jYasTc5_U!B+LrQYn|cnK{a)$gj`RezkAtSwPT7-7TLNR9I`(>_ z9RTRXuZjO873FZgAZ(^%zXmsUe(BoUDtWrg& zzn!)!=bnxnTF{{>sB^wRTy!|V98n`!rcr@`e#4;tx#BQimwgzb#aCo4p~w;($Ht;p zv7`EeYph+z7OTHxE;%4;(U)WmfA;Hb1fBi4&mzt+Gw}9Uu_bRkTZF6KoOBX}IG>7Z zomjjkA5RKq5@+Vi_X=9yhRA>#l}|)i3G}Ltit`SW9}YE%O_%WWqifoSciee3Swf&( z8QFW=q9&(D7F4E6HAhZ9ufME0KwSx=udH?MQf{eZl-)SH}3 zdaBPX>}`1&8KnpE4>ZuL*s^2Q)FPtkzqBW;xhCT7%5J4;lHu=HO9*9tHJlBc;>Q4W zWx10pKmDKztjPdpU-m8>+C?o0G!i2~Tf%6~#Cp~^WQnt3&Lg(~q>!O*K<2$4gj4~q zbeA-%sxdQQ@k0ZWG~-?J`n^>JU>+&s*K|t|e9R;fP}H?KMf-<%R@?L|DMCK$?{#~h z6MY5p<*&QnpSx{*V+i?e)>=cAp$s7K1@=-E{toW2zg(fidt>cOh38zmEl{woTy5LB z`npDc-&~vAm>hVn(a}A={R^A`%5w)KBLz|b2>K7;JV6D7$3PY&VEI+%HHANdgj2)1 z?X!XS0!4+X&WAgM*iZ2@dBU1ASLM>0%t@$Z8cx*$o4<$wvg-v#w8;$@!Zo8`N6LD9 zs}uj4Zn{OKjw$8Ko{4m(-jC+I4jI9YIMogv;>z18JND7kHaYO+ zJk4EkQpge`sRwzRHJZoHo?@;((;E=;b-Jb^Ftakx>(rU}i-37jmDqawV!iV~;D=R2 zlLB2(A~I!qAsjN_w?k_y0u8+HMw{^M9&=o*&!`Dv>x>Evz1{id_YW{gaMZX=h!AUw zoa|P7A87E&^5#8FW;3lii-BU$e?aiRNm zhtc?8%CP|U0~aCtG%-Sdr;(8n5Q_R2Yu>mg6tLJ*N7IW<0MEcJ5Q_pccwsbl=+>@W zB`B_xZEha7mjl?;Py$*d=Hs%8=87P0atJifgRLlnfj}_`+U~J`b#F#YpCU#dXJzEu zrHz%bf+m_d0WHzn;??dRK*NF(&xYO`wI2ERKBK9@m(LERs`XUSo&P9(qt=rDn76)6 z0*<04ny0?9{=WK!mqy(qq_T$zO35Q+EpE_@u7Q6))hW78u`tNRD8L$9NPcN%fc*#u znm}hT?bMDP%jPw8% z{yq9$luiTp;5}wv-E|Ik5JE*`5(>eYyAxQ)!jW5uy!q@8XKZ{5e-)DnG&(@-s$;LA zt5~~_%b%fq2!USVf?O|nolKJLs=6`~UU#GhNpTkf?1n$Ge^(by zd$J|9M-vD!?RNAQkGYGXXnr2>a6pkn6`tb&3u#mKHNwoJf^!7DL;PwT2AYGt;rH7W zn|xzqP6d8EBq|{l>V*M6$pE&Wb%mR6ru?VepAjwwJvbE&iev_F0h=+nqRtjM~qzMvm+aMYiJTqxUSj{dK{)s@m;W|DPMadXCVPU*PX6c2eOBum)BH>s%I0dz?QXgNHGJY67jN8|m$_U_L&+c>E8`{CknPv49kv zR0yD1yX}mth2~|~(iQr0t9S7p zJzWM{oxUXN9{|`wDp?z{CnoY7vaGDXf5%^}Wy@Ut3or2Zz<~)ei*W=K6cEiz?89^q zpDkCOi1;tGJ9An>1{0$mjWiYN@7m=c+|O?fNXKGpp(6P5R-Ezj2mY_z93S_X3<}PF zftp9t*S@u$NynFWx3gdj@U@`mwSmR;i+h%Nbq3nXYig)B|EM7)kf=G#rAWmNBsF8H z{x@kdkFFv9;2z`_)tktfxmrVD_={em4X0wUHd@mcu(&`jv9H4stwn)rks-Z$m8 zt{c#$T~#H)$d6T--=Nr!BLAxhC2#{v{peFo{z<6YYdY0y`d1% z^&jTde%rGpAA=^ExtC{{{TM^p+Tp#-byip!l>?RWA^v!UNkgR_q6zD3+HSuYN9I8b zT9%VT+Syv_tXo^SV#94D`E0~6$p50u@FEJ{Cob+9t#2K%hX}Pzuax8->eYZ5uV@B% zL#Q}yDH13v*F|w*EC|A*nw~MOd#y#~r8U|p8wlL2)^8+l?qWoef zIIP)EYm!{q6Vqe}V)EY%^(mz$>eE_n{=DqHuq*jc|IwV^@t5|&D_VjWY7)cH)Rl_g zyH(xOhOfcnrDT~ZH5Qh42w$YSw1-TeIn(Yq&F~|x0%_VWI&rO|h^{Iixsg`iPLlOR zvjs@{#W z$qQ4Zy5mzm*SX6@vuiS7=lWp0jVarxK-m{JRwjmswn^-9i9kWs<2pwiF4 z-5`^(pq&Q|rg{-@1e&TY)=K2lfKNs4XN51y?6CFYvz73yJb5p5<6K;BJMeDB?Rykm zXk@2AyTk3p93uA<9Q2(krXF!SB-fYM2o>26a@`Uc#NjYFL07xcH37Qs{|`09aZ}=g z@!nl~e%*Kv4Ek!CIrruL3(>Z&-cXwH_7b4*0ES5G;k?yGf*J0EkE9Dkf2od;Yg-DT ze?rh{C8z;F0Ki`PGzr<2{jZLaY|2$5@{%m$hI7&9_ewJ))~`Q zU?|IRt9NTb)4BsXE@0?7Rl$0|mmeP=PfVqmUPR43n)){|SCef1ot{(qG zik@gO`GIVXU}y*#RwY$jzLxsdE*4!YF=dx6yiufn+L$J$y?sY7v_XB^xF2KO%u(s; z7lp>NkXR^TU7T+RyIIUA`kDg_@kuq&jw}gk3ZFSLKWf)yvkB)G;Kxr%+q*(%tYw1LZ17auvj9nSedaW_RG*k=jWq{jFP7TH& zoFP%F=X16iw4PxT(S>=uD1(6skT}juA3XGrgd-`=OCc5T@kjS7xVx!FBrX{U1!ACy ztA!5$6spX%cvY$*kKqm|vM+txBm>_KUxO+$a^lCw%>GROwgUy*j53SCJz19UqRwAyo*WT~^kP;1`w@JU)$x zU&J7TtzL;|@ureA5Nj)Wtk$D-+$Gnl*#Zo9+3C(qknen2Rq{N*b1yK&SChBhXqhDY(NG)l95o>&Z-bQU5;rSTb4g&`lS_i}|Dtu@|Y6-Si;S z#_V6n7!J!x%0}Q;G`%w7rXjvJ#Qno46Meb`T+@g3$$J0-orb*WW@U2))rUfM_x=M; z?n6mA(H}HCjjDe845y~AWKe*Ect*U>=TsIZC6i72(~-wMpcB1bRW?BUWERJ`9L4on2Xb z0iqA#(GcZ8AyQLgV^=A}dpD$G?_A!QFY~`5i^m^Vfb^ih^tk#$V`;&d6vfMN)Z=PT zaHhSGBt0=*yB-kVQ|BYE}EsW1z@_)Iy(hKvV{hG5; zLECk$%j(%eI6{5%DHU<8{MLOSW5mLmCT371T;mD_+5!qJ71rosSfIC7w3NkMZYMDH5~0?N1>i?Cal^@K3Hji8SSsgoMqji4 zgx!1^)Gd3bil*$qV6cM+o1aHIq;^h3hM(Lzt-~$?w2#P7RhH3S7c9! zwI>e~u~o4LraD=F?Fb}D@kkwVUN$}|%FydzN)ywty@8gaY z=WUReQqiv8QjBwV6DvK~Z8ncD311jbyvoP*IvPSBQ4spsdmup)VwtH_`usXOJ{`C~ zltml*e3NTRRx@|6zPn&Iz$HR!@+_ZI;MGAgoBY=)C}ZuGp61sgfvg|ZW_YOl=*oKz z=T<_F@$*u_Vc6RT9nhr;XkA+nvz>n(f$8lU3fdOrv9!c-M88Zke3cP$}2m+v*rz zo>QM{p6aw#*0u;ECVf^;o=mFK%Edlsu+wns-A7i$fsn;b7>1uNawvXv@u2GVU7XOy z_CvYLvXnP<+`uQ_6ntL%c%;M5{$OBAR+%n@fX&EqiNu+Ld*FB09BueffDIUfR+1j* zs>}2@_@TV9eq>f)Y$j@Zj763#ai^2lT~fl$x!cp}7%6mnD+xSKLGB|_!sHths^ZB+ zmExp;Q$r>*xa%=Zp?>86cz?MnR5YT-Dpp{h*3#Gi-sKhB5o7CQ_ zq~i{4MwHXtweK6S|8`hV(?#uo#@h0Db_VZ{C-4ij*)BA?>5l|EQ+gMU{{#0kd0(09 z1_Rpd;fyh7s@&NkF9+k)rQ?`fId5Ojm9sFZKWhgNA&&uFE5Hunc0b=V;Qd+jXSP;0 zLzwC;mm78HLzCBieG0y_#5b_KF>sa&~y3>(95GJ$P<^S<0zr9a<)iB7<(3 z2DvoLvKg3kyzb?j-WNnJ0vK>NypiDPOQ-7I16(HMbhr$0v#Vg>dXCO(?zhc+&zxy| zzTeaLz7wPglJsB_Yv(tP`v~d$E~n-yxdDEYA%+q_Nlr~s%n#v3BNe>vaiL~Y1oP(W z>Y5bmcnkVsei;ewv19H`+3J3j%e{@%)kQXt!=hbWBeE(iaJ-)r{CaHKG4%rr zv@fjl3|y2}n+M<^$r>#lTI$1tE@Msgwu;~H-``9Zqj4lN`h%~X-{P`yULM29UP2sy z_?JI+1K)L$NUAqdv)yJYk4!{408-z6|0>ji_DH7y6}#Ec|Mk|YQQX&-a0H|Av2AneQc=;?;Rq3t5FS6UeR6`OZ)R zB#&;7q?~K7ppSID_(Q8RH$X4%y0uBE^4VEn0U;4D9)QO(f9fzD5PFK^B8wZuS%qs^ zMn@owt!>qWy!r^OoC}`x%LfIX%)RmpS*3fgaZMI=MKgESe)G~UL5=YUtac$Gt#{Ji zbbob~_+ekp2-hZ~iLtk1woYIy?25xEe=)@jNxe!#C-J$(^K;!#`!8fVHjMc1lxaj7 zm*lg_$|I-BykRmN`fX3jXz(6VjCKbXhoee;p(*=~Dg$A#({s@}Uw*K&#<*sgamBjw zqRGAnd+>$qxgn~X?2pBuVN^d;PXgjM0GW&7`+5vvMinWC1scFQP+DI#&oi-`aO92Y zlYro5^2YAX1sO)VVxvuTxxoDeet{xs9 zo}Rea&-8>_S0Up&dTtw^^2y+VwTvO$F1?P5M3VBq5LibrP>0!~gH4VS+?RwQm?o__ z9xwXP0T(4;!tF9*?JcXG*2!qEW}>wHUh~$`0VWsFc+x_?}?C$jb8HnzX+F>Y(jg39@ zsAQizsz%5zQP65cyLw5r?WZep8=xgI=?E9(ow&ttTbj3%E}q*`>#w-t5A+H)i2HIc z+-iYVr?BlQrOb<-Y9 zOwfmsG1$1t+mVZ&HZ6s-oZMydOV$T zzPGF+4D;>S(X-c`WGx?x+vExR^W;w@BqY?yD@zro&H}N(Nq8hd4-os7Df(Tlt;MpnBS^3s1V1bI)8{ynU|z`;qLpJ{;&Cpicc1v&Z|yh z?nDyBRm^!>+wecbTa&f7i}hvIliaKy!Wpr4Wo*iu@@lcEyq^64i zsT$3W!M7mOLtU4)IXw5ti}#sHwbpK)_cANDGq3Bmk{rh5xgh6FWHu9_=glxOId{C% zS37l53}s55hlq2`bt2Ka-?;RxMauv~I2beeh2Afd&q(-|Uoa8QXZYvF`Q0<76#KrW zqWz+kThZ91WJ$CNM19SNWfnxb-*&Oou`$GSI)hDIn=(~Ka|@Qn*Bbdbn5K8)XzglM z)T2XnX;G|YPdZEqlE;#@*bPb-zEE#Pninp9Z?DQ?DGU;~K};qn=RPAxf7P4T~QlVg_Ypkd@H8HN2u|kQxe! zsxCNcr*r|48li@tBF>@yeU2ZdYbVDyJ3$YB5Ipcz6Kk= zzSZx!L6dC8vWW=tw~1yePbB9-G&-svVum)aJ5?Q17u*F+NEC=b96?5dk+udNT7sWj zt>>1K}6vD^M3=Rb7$0blm@PH(f5GFNN`>ai3huY>F7&5!oN z$y@l(g*CSjCBY{7&_+f%Q`V{yMFd5??1SEad19T(Rwf2&Hv5@Z8O+;ku!m1pntdBq zfNMRFQb{$~g7QQ9E6xuePYABi*C5gSsXgLNf$|>t6h2><%Ori3p4^A>sicY4I^En4 zPt@z7-=Pa~vrbYDg)l`-9NnJ$=6BD#@`sgnGKq_5DRnV0`F|Y7H zgqb26{-(Y4tq_;&p(=>YK^HoBMYX=qr&3c|LOYQ|Jz76{l(MpJpE4HI8gl)#=Qh&7 zaiep30LZO=WMxaNUtgRQI%^A*5r=j3XeeY)M9jSRTX}jHym#uK7={|9OzzANnYLXh zG1s4!FSZ-FE}#>IFyAhiwxx?fTVk&=#fB za6AJ$`zdSARZfIuEf;rQ3U{ZS%e!>4w~K!qhDVt3Z+|#=8+(#7S!&Zir)ntp=7Ut; zmcm<`9NO$)8;QO+DcJ%U(+vX_t^wbKpsmvZiDyuEwu(*B44=jkq{*-ihQ)rq<$wY_ zu|&d``)*RlzNe_GOZpHcEs!HP-APo*IY+}nM2D1_Ydz;aH9a}}gPyK$Y^M?I=x`q; z57d?57nLL3%qO*K4eOKSAdr?xN9C2yNr=u^7JP*M>BkNO5(5YN#hi95QNf+Wf_y8; z7;>$3&-pW^*CqpvG#KepR=0hT?3llwDapzYHt5RRwz3bX@fsD@scsHclRrl)GjaD> zhaMqw3^e#p^Llct41BFU`V+CG1+Jg%Q?Xg&cN{b?r;^Mp+(@={RIDU9gJpZ-*h)wjp?@({hcCq0{F>IK6dlw#` zSbMy6Z+&fgs@LbgcGb?O{~gW&p`xqit?6y|56234yR*GLkkxNFY4G^X*~&A|Fn@5>8a zNa!E@O=A~UDGMKD%0i~_@DhS1>!iYmnxFg>bxsQloBSWrGzjxtnbdFuD^u)+p<-?` z-a%Oqp$1M0h-ipsL9S5!9##x4=iGs1tlc&9$(rpZIYsK6*~)2JvwILEqd$88ZQykgO(y^u;-6L*THocw;9eR#`!g`IXi%$ zT|gE?>RyP!KLF>kCNF+uNp|G%lkA9rprBw! zP*`00cuWW=XfS?x1+{^_!M?o{>{z{{U1bM%ijC%j}k!l&;c)( zL%@aM>I%>Yye^o&YBQRf3yloa(qiE*!_^0bxBwk>!%Do&5)WcAiyPgTz6IT?+dwoH z6_#mMC^t$79l8g`?<$7c+0T^E4m4jF-MCw<*W9(U>cG@QbWFuHEn;V+3OBbDG59qZ z+bmvsD^`=4gqCE*^I)#a=v9M}*zdJ8q*bbH6N294ONP}_W#2X!(=B|lpYwyZ4Lo!N zP7%|E2s@upknRKGmE4FrpasjDn9kXQV&}ys2!ZgrxQBAz`9z zCkVU#?&Zvi1Nq{z%5%VI{+XfVwaXFgC6u>~3ll+hNVC6r* znL#n~4jh{pg_snzVRZblOo7ho z-|l^>`;9vamw0!ZLW~uWMWzVIRl%Ld1-Wi@{WW`#JTaoCeSZ{vw-I3qdV5HCZ#B5? ze)fKkr%6%_6Y(#ak(+{XyUd#qHrG8sVKk3SdcwvOsUV^x@YP{uFom?E4g^S?WNv@# zS_L6}@IwUGl5Rs;jA84Qj_dUTp}Eakz?UL8oQ5VW6Ybw2zRg+*)ZH084Ylx{YJjQHBp_M*3Uk7H&L!2(K))VB%X2&w=z;%$T4GTmNMLQzR%RgBYLSLE+u%fbe$YF(6MPYr^`c-kw{=IPza$ zwp9{bJ+}Y^3c_0)YMcAWA1ji=>gmQ(@$b?3^q3ht5+jJbXTjY@{M+*iLMf0z4l`$l z;d8T~x`JG&Dvr@!?3-QyZm8({i@PMwywke%@Zn%^_I#?L^Bse6E&IWCxj9dETVu8( zIHJ7E%GxnIi?&(^1Wc#{0+N&0yWfYA52&7_o;!}37> z9>@tyN#_o4VNF~}#pKenaRk_Hxso%vvO}&!xOG(X0VQ{yh@);g5A*T-nF;n)m-N$y8I~b3PVZ;*2*8* z@IxBFpD>+>4WevnkVpXQspFEeY1`-9C&p7EX;xm=PLJmOsPU-%dF}$Y4t7RNI{=mJ z2al~X+nB6{hFaB;W)#c3(tK)BXPX7r_J`tre=Tdpsl_e}HXhRjnwL?^O0@I#?)evu zy~h3%!1XKW`6*HP|*}qp=6>o{iNd zWE?xn^fu5URI)z&-sFM;{(fRf`3&dkGc56SqciY93mi|iRHK0hF=@7vb+|1tjXcQL zK?sP8dxR^Fru!wgl5y@a#K-E1aMLyJmA`-W@jtR}=uRQ&xihhExAQKbMkiBFTYm_!&=DWWoU!F0}66c;vxklKA2 z;N?~N3%BP3mCGl7uwNiIsp>XqD8+mGp+j|3B{W2yXs}4_Qgjbhq5v9J1i(sA~-Ph=VLU9+dw@l&wP^Jn1xZ-PtAS-0Re* z0gJ?lCvEv|&qMMClIw}@ra_;rTZ3(Qa&z;6N!ptg{yskMCB(>`zutg=&e4iP>4(-- zsUy01_Nyc7)NLf?_0mLs| z4qPgWis`D42AjZ!I6pt13XNfm+eBf*_dAr}NTY;*8?_$4DdS(&Ju($IZT7k(;v^>n zXIu@-P@H0~AvRAHma3BZ1@o$?v>Oz!-;hj)mRmIg(9uot(k6?p+r=)g6;Ccc@LH++ z4FdKwBa|ft5)H>TC*LGnkLkYG5pHI?jl>tyXJslgyBM(OT2npBWa@Vc$S%8LFkHY{ zOY0IK1}9tH^`njQAIF*X=?}EJX(#|n&4v|^x(5@?Jhc-)4OUi_g!nV=351B?_&Uqr z39sBSzI`Cp&C}Bp!1?W_+w+{(a7V2_3-px89D-#rSDpOyk$FzE(1dRS5}LLG4OtCC zykrv?xMMd_&)s5}`cHLu3-tyu2lbRf)oI|f-ko8~keeu^4a4PxOrZA=!_UuI08Eb5&+LRO;372bvqTkg(7-~c z&mu{&pY*rTDkCDoaq|iy%ZM?r%JFi6G)HjFlKl~c{J2*Z(@7fr%YQpyL8y2d!_(gb zj2g{@iwrOtZz?TWxJ07MVbZ-lh*o(0qPCx*#b7*(N! z2k$A#Wt&1UF8L{;;{9|C;cHXZm$Q$HRhGWmq2F%iFFOxvCT=&Q3W^?RIX+oMs)QU% z#n76DI_QoRKVoeva#hRIm=bf3aA~z zo)$xoZ9)Q2Q&!~IZ&1giQvcR0+EF4%@PP!1WGZp}XO~n_nZ15B{nYWqd8+oD%NU&5 zBgfWdmkFV)Ok+x~w5(X%$)buLe6n%0dz<11p7c4A1Az2?KMvH<-sZ24K0tpwc5Bp= zaBMTjHFszwl(*L5eSWz!gutT5`W=PJ)wC^W6{Kf_22Zyrh*Ke|;fZ`e=Li-FetS7M zK=7UIzN+bB`L`?3#8?vkLmoRBB+A1{{S3moVYF{Kla??IdZamA{c|^;A%9Ch;k?9D z0T1t`xBv{dfRHjkPk<_ISmI=ymAAT>m@6p>s}xSbdsInZYARjF7L6K$6%jF^KDy%M zJ^6a6)0UEd-5L_0zSr5@RQg$yP(Hs_Ilk?f3K2Fhn=43)9e7Y3&hAa@GjG z@YYvNU7C-Xn&gloh5R;uf`1eGC{29urv8njT_$rBk@!U-*$71}GA16%8K5&vA1jerem}7heI8K_ zn&p}RMu2rjtn6v;=kKqg;b>ub%y_ZDT#WjBpTw$jF9Zipf&916bU)K4a8~bDU!V^T%^EEol<~zFt}Z2Z1twxXS|%v^~3jMg|@S znr2uZr^cYi*vjUpx@0ZlL=>a#lW=}A`nM5wC9jX+Np83)EL9{9?zn=j8`hdx4j7E0 z8zYPVYBR9JcB?6*Ur!j*S*Krf-x-W3mKTe9?w!cgpb%{a$NZxA5D0Y^3;D@96>Cw# zp-Z=1F+UrwmHebcA+}G$A(v*XV8|O-j@CI!kW;;C*Fvk?U5%s~I5odwFoL;jMIxPa z&8oJ7z^09;w2th3iE$nCF}XGgRGLEFYlW(RqiQ_v8iZJ3kLoBX#uy1rk>?9FUlPf^ z^NE##gdzzLZOf55O>C+XP_@!(Dm(`QcmyLM_I)WjyY7uWhxFR_2CJ2;vi!jIKQ-%@ zw9erZ{8YbsdC3JD*ZH2a**$QV9)!p}NYUbdx};J5;Yu@0kjtv-_`ZNC*AY{DfP3hp z#;VT5iUqO3IPh~dPhnduc~4C2US%UcW)@PZ9cm3$1xmy!x3y9u@eTJ~pAzzcE?1>& z?$D{lkQpy~;_tzMoU%Fq+z!5?3wHDHxOv>q?+yTH4`biQ&0#l$c45W80_mGvkU&22 zp~pX@lI4mlJn1-_>ZB?9$1oDvFv6=gvvHIg@iOLQ9D>aP@=LVP|K!ciAC$@hx1Uk@ z7h&3;U;ms4c;9;Y=Ynm34aip08U3%JVn;9#zXU8p<*Xhl6!O*t+d5mhIE&|**4qv< zJiShud^c?a(9)rv@$Wu;ql%kRf3yAIY<`J(u1 zDgdfUjj8zOfr)SW=(~eJZhDYJI0^TJXZxj2y=k@@S$rXbZv|0)8eSxy z8TZefyo~0w7fU)<+Shou6&`=VGBF2huglP}D>TX%td>K`F6oNK-n#BBXLjL%`p%ii zXc*Jf8^57-)>aqNY?z4fu0AiHVRsX%=vL|y*1eYH+@c&+@L zY&J&FlJOI5zc!15k0+(^LTb^_U(DYCy!r)#gv1{}S8YxQ5YT{6tMoGf?U}yu5CB3f z{B8~~(e^e4g1x-pOsQ@F6XTU`_tOFZm=MZT0!U8xz;V&N0pK~T9)M|B(vtmuGOyBL zZHazp7$%!@M_$YNLiGyqji-5T9hRcu@ja(dVCx4cCjkhC*>z!r>Fbg13(`Glr~kkD z5H?LSx-#w@)`zXdS&SQe6dyAM2ylVtlvhAZzTq^+u?2K^W81O5eU$T0+b$v?P|xb^ zJF0lTazBDT-)GE zD~GTpB=~$2HPLIrJwBf%D?ri2*dXv$9iXx&dd%S?8(>UUS!m*Us_$LXAh%2#AmJOl zF-wvtN~~hEbp&BN)ucQ5N%8nlQaAm=lqECFOMT!QPbJ?HJgbAv+rDDUm0|Ri)hr`^ zVgX^S;6`8Mc*6+$QQ^dZv($c)4V0fl;m#=~MdpV_gnRoH$DE>UXP)dm?yv0rK~E*0 zo=>h-MSR`?wD2BXcPe6o!xCS&kx3qLem}|mgxE$_g+R_tpuMrUj%mB&w#@#GSdA}r zWKVw7R)jQFp6p&B$AFd)z1V=plz@lfCAKlkLee0MD*w68^*aTppqPxseIeoIDoJ^> z>Qm%A8btf%m#;K&iKNSE7i=(l|Aqegd3eBZib@1s+D!U(tk*0ZPl>)0`+JE1fil;C z34Ikvj5o3!Zom)(q{?Pa*(znkJ52oVjmfW7&e`Z@h*TtrZ`HfoRKMBBT6aA-GKGR( z9xncLE&TTh_w;k5Vx~y~A`+nL?E((NBu{B1T;@s+<;h1t&O+M}we?#E4Kfj27U1>@ zkOqv+SbpS1{Ul}_`8kgkjR-Xg)Uu|N<}Q4GOU)4f0#SY%%e<;9yj4Ll5kCxqf;)vHmEXUi-USm7B zuZFK)lwVens}8EM@T-Jv7GS4wJBR`u`K&{?#bQU{vS=p_3tz{@&yTDaq_O%eDcp*S z%kB!0VS*ld=Ua)njriq@?M_1^n-*1tdnxE@QgkShl$;2g>*w7k`OJY3a7q!TCByMU z!qm|p;*7qc>y=buSu-mi;$)Ol{$8(Gu&eUoV?wm}HneRAuq=Uc+?$j1C)3{n1Wr)P z#sEe3%F4>vbwk5Fu*iYfdx0ZQv+N0lx{C=Mdrh|W)UBtOB(#Zq@HXFr84TFp2B+-W zYL)EEZD;&sZ-0veH>{5?HkO$z`O9kIs_RL6)F2WbLOO?-qzfZ1ky`Pd*vSit<4e-iYh|a576=5wONQKlq zC?+P}i&&2N5`z;TJ0!Cnc_!}q`>kKbSl9A6)GC6X-QYBi*LHkHnS21iycwB?jBkK2w`n%SCRBF{#rP zUbSVGl&U{owO?2_Y-6M!d&(%ejM}hGvFVDQqsYpcG=5+V}Tnm0N>D*WJ5Ej1uEiIQoN~sUX0%%w8|ik^FN=ok@$$AqFldyAUHSg`$9Xd zP~Zh_26_kJJ_j7ZFE1}QH#i?SH5GuM!Or$}V3d0w6OuH3a&Yj^oB#YuD!?!FwLp6F z&#%5m&yDFDRZz7F?=34tk9IlwXq7vr8xTICaNW_*(usQ!4`d8LE4w!=vawFe6paLQ z{iHm`k9V>LM4oom@7KX^O_{GF`7g)~$7&f1cCayK>yiPo&q}-|SI&SHryN29qRG); zQ^zBudBQO}Az^=PFG6`5Q;y}UjspZk3A*SD5Ieom;hhi^MDPCo7MP6Kvi}St*b7E& znNxxVcBR&zf0+Oxlv~0}Re*@CVW*+6bGfWAyy?_}PeIk>*a1GpL{e&rIrWOQ%%o0V zn*X)@mAm|BxoAas<)>ArpSfYfHRc~(#{`4j`o2rn#=tuLWPRbK>_^2D;_%{A(VUxL zm3ARjR?(VWY|?$fwGWelN4R0{u>^*z6ryQkc^)TOPtZPLhERfGSAZ!_LKG^#0s;b5 z5IS}{T9fc_wX)*dJf1B!`px9|-GMjz)GoUt^G)+diObH)sa!KlNPS5EaCQ=!-KETdQ9KcI#Z%CMB2!2 zuk7Q+!!xSDU01#G1s|f<=JPL%Dln3Slrv$!qU!=2UT*pA z_~Q9X;f~PPfM*zZgdQ)WjD&9p zmBaVRSY)PjaeR$JOyP5#UU6#kvG$~6J5MO+R5Wwt@DLd}2~oa=d!h94+(&3Jd(uL* z+YTaH-iu@>`|cSJrNyy!XBN0~C@c*t@mil8pS8`oVDMoyH9G?GPM;qfpA${2E6gDT zWQHh+{WUS?q7&9FmSTGmVGP^@HhNX27?jVl9xcDFD&&lcjEIeO4}KHWmu1@bAF|H5 zuo7-1^x?^bI_=h}S@d{~2LBL6VN=0>Mp!Gh~tn3$K3$^ zMXtLEvy85;Ao$#oYc$>XZ~m#BB$7^N@=11h>rl0OV?r3TU!Rs%7n3E#_!gzRV8mkDi8lNsF?M^LJLl`zee0dyAn(B?4Ay9&H)7 z#H1U8$RVIp8384^Ljh`tCC;)`!0R-)a|tN1p#WR=&n3Y5L)ENVcf&b`{WlhAd|+U} zqOR2&2#IlEjmggh9)wGu@eWyZm=>p<)=3)KQn5B&(h7=5|`*dLof=C)8< zL(d=@%$aZ33=wLqaNpog(i_rIaT$oeWfVE{6`~%Ef$tl8$2yt~NxAqb2IHgtci+^R zy&UIaZOS2%RzaiA&Y+ z{PEHQP|&zK@EHRlOA))Gi39{5@fJAM#8|6N7%V1ksJ1;Qm>QwqB-_>3g zsS&jq|DtT`i<%2(XyQ>FIsqOOgEmiLI}P699}1G&5Sr5%jY8mRENtCxqYa=ogVP>= z$H}x}wixQ~9gCqAvifnU492j80O%1Tl(sqK_$8=q4G$P+{Rw^#%vrYdmfbZ zr?4y7pQq8iv$L~cx8ObY&;j{hx$UQ!daKF)=4jThJ8jS~G0=nwswq@_ z)&Tz*=4y1Uhr?D-W};Q;6F+On5pU?^gxJ}5?Q$dB^cnexT^Y}wevWb*a^I(=VRLj* zYawdsdzBq3v*X`l-H1hZ&-X!E8p+XnGqqFz<20J7c020p=Qyt+;?DP8+l8VC8xG~U zY0hOkUfa6~t<>`-h(@EkiS^tvFVj2sj&+Ofs-@!`PUn|TO_d+@cw^?(!)jbyuA|Mw zf|ZY4A(7fPPHBs*f7yFKH)XE9rp5Wr1M>UZLFGLww_MGEE?1YgCm#9^K?1$0zz&q- zGR6ou0X?E&@(G#(&+$9U^=z5>cuQ`#VpD$SmLsv89%GVRv=pY4dNbmpybx{2_dqSJ zwzOlVsvj)+&C_J%9n9xkCMnS>Zb78}CD<^^Kv5D7ddZM=iTQPX?Y?ioLl_76%5l~K z9}jsfy$X5=dk)0rIJ_rEa6t^l&*00^pN##V#QsOpIflp8wp}B(J-jgC8qVXo-%WRd@3kEH?xyVuk8^yuauaN+HL zP|WhR4TOU<+PRt??KjHA_{rTJVMLcdWgd}j=Ki>e0DFxi6CcicXemIl<4BGvt?+~< zf{!en7$>}EBePE)O6mKYlJp|e>`VHfl8$;Q>T3O?efHcUwS7JpVyh*gWxG9UC`7Ix!&w1kZwjT*3N%ukdN){51t!u`ZI!lPl<_qyREmUNNBetV3EZGi=; z>VO=w!alUu>rfykhnf(q!mZsYUUtDpbo@*@W*T2$alXdC^}cMKG%i%LQ7%6Y5rvam zN;UqqHdRkRn1T~DQE2MwEx=vN(*B6OKQM|DuGwTd^;6J41!0y7eZtS#<&McwvsS@M zy)q>61S}CV!z`_a;;w*C6rTS!{|Rs&#tx} zaEij(%WR3pMH4cJV5{t*vTw%M8aFP06qGfW(}OYa@H_%DBbq&cb5dOmo=ecV2a1u? z3ZAB-eG{DCPirTD_eXS86hNt-DO8*oAGaU$FY$Nky_uW?^asa|4YALgdcT@n;Jt}* zRohW93B{u{D%b-)K|*c+gL*t;l{M@Q^imZ6ZaDrhsRvXBK83F5%qB0Ep#G#IF2N>^ z1X{KMdWP2G1rTp$2Iw;VjH&hVPE6(W<;p@L%K*Wtdgk!P&BJ490Zsfp{3e`|&tHpe zq>sRC7Sgf(eZi9c?={|=bYn#gemfEMUJon^FYjP;JZ76QK|B6;8N`p%2b&1vFK9ii zCcrlMA&@T$jlUSXR zjv9yfT#{U1_p{NKZ6vw5+{M0=qR+s8?w)^E&sL06LwCvuKig;yoTQnNu9Mj#7+O-H z`r^Hjrvuye1bNQIt(`i7DS5>+jx z)AQGbk)Tw?XEV{1740Fodq7;=@r6iP2fktlV!R)Cbx7tY$8|=gXoSEsU{BL1W|X+h z-<|Rz;xHoY@unc&PLcR*z1C;+Pl#;zNr!j)1rF%!aW^vnuhpHk+dPg*sxmC)~aPYbrKRbr`IPte+Mt~OQX05VjV=~lm@)OotsAI75{Co+m2+?2{ zHR|OkZ>_Z>dzIg-AZ+2*nyVVtU1zlV-@(FNqpOwBMs9CY>;2s&7MdP}!fFlWfqL9^ zdP1czJ#35ex?V)MiXVr;8pOX66H&0n_f(MLeIWVullU1NLrDXbNrMpkLscS_0`QFy zkQzmjZBl?N+LgABB3bziXW}Ia_-bHl&4jGzjC%myJz#m zIerN^9m^}{iyjZnxj>PixL0nUw^TnYBI2s-F!0%ER~WC<%DNWZ$DocDDQKpc?==Sja5S`{tBbX?lrjvC^6e9x zv2D=?d+A4RWMLpK`%SEN=@bAMONi-GNvuZ(19yZU_$fw8+?C8~ zGbSwKCVr(y`uaL2m$p<;l_|qu!`-rEEb6k>kUJZ?`>{ zj{(#WZP&(yFjtgKt4FHkOt5x#Z;DMp%d0;Qq-4iUX9}cCMi)6ln=7iAG;4MSsa(3G ze|sx+g_N}+a{u{UC3w;(tp1eL)BI9<_R|LEWVZ5l>{~KX@czi4jB0cg`b#nA05hlH zgF)Z#-ih4Tt(Ls3qKNa7{IUY?isd?2h=?(1qvFHAQ=u9TnKE%W12RSo&}c|iTqzJd zMG{bcPdP~bkl(gNAoHkL9RkkBFYff4C1Lk&%o9ef!E2ENL!&;m>pV)Qu zr=~c@OhX1aB+=TX4_6W)8b#G6PcfynKoy@7ZSR~CV+iRjBk#+=Uq?^6jT0* zV3YmMk3*E?-wXk{>d=uqB;ZsL>^V>t$)xGNISg{)k^Oqp37uopG^IDV9gWHt;^MPv z!M)r9`nWH`472|;2-s;~0e50#FD~ulzXCDf27h^aifl>;vk&ZVvMRx2|GNf!2_V02 z)3~Dl@w{L^pD}U3vt^(LA*0cE5@N&DQypV?C{VLc4;hW;TFQ-G8ZVZ{FbZpGiudB! zTxOfvNDN^A+;F~7kW*=n>#$oP@zBW}v2jh?Hgb>DF2w>m5-@ru?_4=IuIyVc=-74C zPyO9~?|TYdk{4AX8$`M>7lNxUCN&izfiQ zHb2+%TsSl2F7T6)V0AI056OX}g$#Y>h{r78)v-RQHk+#v+?GmAJhp#>s6a^jc5s?} z$c+q5lhs39s!(V2dCs#2CPPOvui@NNioD-pDoTQaZ`6M72ojc8l$qC94ngRB*Qbv9 zZ|vU$ntyy8G;A#o>f5IEZKv;NVgMoIby%w=+x&@FjY;-xb*YRe1ZCt<{Zz_A6LTr=^yuYANM=a!a~48AyY@pDWG2FN=BFI z&R73nRO)%T==cEMLmxm-w-1nu2H=(vzqfVKg)$VHm2yUnL>;I*oqPw{LrZl>6KpZo zZh7tM+KXoo1CJR&mk6^@0G1Ts(CIQ~xLn)(S3|@PQ#oD~r)8Tq^!9Rt%hJw>^K6BY zzFeNVbQpwj)&N%XeoG!|*o=a1m{~Q+hY<$fq6gQvl3bn_x{s4!KUG zM7b)#Z0kQFWNUVkxg_JJ z6I!e1<+=0Z?IWHGfLz)EHhWYi?YkaiIlHZs&!n2B&l;pgF)7t-*+Wc;FN!#47ptiln zpZ;SNYzzE{EqyvYw8WMTOVUk{V4ZB5CL*h6ZtA9nnGv+|sG%?C%`|O={?ESH$!2in zAmCn;{o`0YapgOf&Ymaj4RT6TFazQap0~TFr{BjLHrxc*RKaU!)4nGHPEyJ7T9#>7 zS67J0UU7Zb+6bxv+=ijq*#YM}*XXwm#;Xqr+Aq)*_DyLOh$Z1tkQVE9t|?DbesNH7 zG?dMRk^MGaPJ5B5mBkGqdC)+gR{k3f^p-_q@ z!p!B&`u!i%BIoEc5BmFfkhcVK-Z@Ep{#ILZMWM7nU(Lxtx2-clK>>&i2Y ztUd-WpMxcB{dw;Z&A1OBvzN!VR7a$HCSq)}B9ibB&A#(rsuvbcK6*&g6dd)JKq1bk3J@sS~ZjL@zB9{saC^}t;N(eK7WWq4c zO|iX{!N`CWFyLc4a}jgM*ZyDx*j$dwqo(ZXz8_truU)`NankXAa^?OSpY@t&qceMd z3vdD@zwprK!w9}E)tWVJa38$(kiJ*h0GsYlz!uJbg0W{L&u^f5x@w{ck!OS~npt2r zf-PM&oic`V2a^^L=rG|~fXOIc{lr#v45wlA%ITtoS4X`oO0=k9M+|6}8)Ti>zcgwY zkF!?FgG9B*nK*vGJZyMfZ6i@TbzYb@EHP%VqML*#OkZ6MdA^C#wSGST2MM{y@Rt^g z*cM&LgKJV?!TrZH#4fxDJ=*KNl`B7T(h%`c8VlO|qSW|HBH=vf*yyam+|r9Ys{|tN0kozIw@8;ZAz&LUGy0>S7 z(Wwlf;w9F~RSOId0N8+pm>A%cYy=nr92nW-gGIL#&zeF25d?HP8*gUPEtY758zmkLBp+Bkp~ETbt_xEXRaV;BSbESLP((T zW`Z|axKfa#DOV--EG_PWbmax8TP%yj$w-JZeNowf*u5TT48egobn5!SRXZWbi2|yv%`!kXKuiI0Kgf+bZX3!!T#X`LKth zUh05ya?NzYMsLbEwv<*tK7SLx8v6AxKd88XkTw93r?r}N;GG6tT94seAEhL5({vAV z?$g}OoQq;InpaT`0>3`7W3N9U8~@Qd!(^OHh`M@gs`&4z7>M`X%sEm5VRfHeBeOc? z#yi?`ip^+2J1`<&89yDL3B-O!_i!-B4h-Ee(Cdh&f!HXjA~Ps@c>68M<8o7qOPLFt zN+1p`DHT`ZE`)zJJ!`GU@e1k>4~n*fD>%1;=eB?N87kpo($a=FS-v~0<3^#A>gi&6 zz&5zoI#@s0?MYrP+t-~oq}L&$Tm7e(jn@n>y4trW%O6x%&-krzTfSJn-b?)#gTmD$ z%At@;R-@xs>UuZgFKYSMAxbU>g|SnB@WllZ^tvx&qH|6w0D^?96F0lH7HJ#r_l>|- z#_g>$2Z7K1l3BCv5d7GuIxGusCFJBCQL${(rX_1B7s=cyFTf826sRZf@w?n4gw_G% z?hkvRtU^by2ZNTsO7#i5Y)XaMAz=iDff#yY5666)8)iAf*4x9z1n+;I>3o|5RX6ue z%PaW5niV~NLQ9g6?;qSp&l}{2`kHJR3Q4lVm@DLk%f^PkHt6!t?x`){tQZK3IoZvL z={u`~mxD`aCaQ{V>!BPleq$KR00tL3SXA{~Xf$bzQ9oAz1n{aa+xBxB5W}gQ=585f z-ig@vy@YrS)I3rO460X@({h%Z*f8JtJ@*=U3x23sZ!6c9<(bZ&)2(%ReSm^#c(Ro79?C+(HWQsu*- zLN zsRbQKqCxPe``|UJOiW+-7`XbGk|w7?6c=ZSg9>dkN|BZpISjgz{o?W_!NVkST#RJ+ zQW?4_Bg!ErwbNb8dKKkNv4R*IQApkJ`8EILIr`#R0u`RC$sCIlTb$(vDkP~sZt75i z)8`0%bY$Y@Z!(BO>h7=qe4`}SEll&)u z`~+V6C%m|9S=U_+LG$+C&fYD1_!B@sMT003MLYPUZjEV&Od&D;?>AzL3k!1c)PcFQ zcj=oOON2kIfx&F(Ku8xsCOD+)L-i)SkpN0?`GJ2foPEX zC#!%8Hk)Q|LG16{oV%VCptjf-h6KLm--m>mVLYRfm6XIa1gEM);ls%-GfOx(`PyUt zK+$B)#{V)0`U@)_7XI9|K%@7XEekU~(&oeP3$j<&V6QX(Y3{s(;+ra7%?Ssb zSoi850K7HNF*Ew<&v<|#&uFO7-w-m_Lv@9}J(2WlQGOaUZ7nQBZNt12ga$5tZTY|u z>5ZFnwExS&!JYo9@vMD>xYBLdnQz6G+h#>(i-RD4YH;2vTuEw93FkwzS{k+M;`(eW z@~;Hb!ED3A5f;Fxbmp>pchX^5k*vq+oGTY7!YydU(;t-?DDJ7Np%*mQRIQTZ?}}n&ga1C2y#qv$!1^evpg%@T(s@?iBf&sY+V>mfi&N1}W- zm7P^Qflh!AA*Q2BVd9)K(p8(qxkS>%9GiCLBZ+nh>1xma*RP*z#z7F;6PpEz|0i|n z>T3Jga*l(d{b|0-#%8T=K8vs}n(NpSC}_)u#?k$-A7ul~oEy;W=VXDX%Lt4VbOTCYm3WoBe~M47J!V*Wo>c zkfFlkDFsvKI|Hgwk^ho4+?Fp8e&r&}yXY0+xPaTgqEpZ;`hCf4kdAs7VYE`x;X96R zhHwZm%SuI8{DVkE8POe5)P?GY+gRatNRe%ft}k+4RQ(;(>0?|0{C4UOm%6vJK;RBY z96Yu^ZA)3=H9r&|Z@@HD2K9vl=2YW7)d}RJ6XBYBfkZH$p)m7ov?DPj3l#^6H)wO-6Dc8MGj=VCut5a(mcH&O?#KNjj(+dw zGs{TK8*O|ovq{;tu&Z?F3q-fx$!QN+e4kxCFZtM60IZGtziAy%NRr1~3(N zd_>&eOvoI#&P*p<-J^|OUq3}CsqX#I%#A803}q(S2772i$|@r4=r(1=4Q8JTuyDIz z2K%88mQGVfEywajY*JO8F$}m9nK{^(%BgeEIscpWFpZeQCl* z5^y~(O9%9A#mgo=-m1S34$sXMRdD{$jNw%6KU?x|jKy-*EB;@hWT#R6rS8QzVs6 z&`C^K=&Sfq@ipQeY1B<@W3hp>Y@9v+JC@`M&BA(i?u+Wz0auN*ljf6S|K3W@rgwg_ zZ{c@76&cF5+AgA-ml=%z*x4ri9)6nTEOTp|;Kl8L>C3DJ{%vl5qHS5Wo&SEX@inHU zze56w>rg*dT*U#}AVbcgTWBXI(OcXBGFMxQ21ugNA=Fb|AkC1~*?2kDq{wZO8qxvQ z96>ZFVcLAwx>3hi6eQOV&JZq^quaBla}kd`FR`VLH%@wZv75P04wr9J6mRHp{i{=F z+XJ<%EwoMFWJj0cs0TC?OV}JA*H?5Dy$sdM`nlzMH9xMZ!XFZ{35$m?oh<=nX(>-R z8l_WT#0T|<^%&iMUEM}8ax%5uSLk*4n0 z&%^{2GT5@kRfGeHN(P+k(YaO3eN~PWc!qyNJ`Fr)++N_&L}7|>>k8N=4uTyl%#?Ur z^VS6cy|^8->ZiU<<4Jt{!>Om1QzH);Wka`PpXE__@dZSkss*}XzK~oaSaywG{Q%Z* zI_#21$^j>W8(;QtFD~pykE$pG7esza9`)*$GJHt-(A4<`dV($%?2-22M5-G;Io{?n zz5Up3+Mjf5AWW@75SiBfZ;UZg1Qd7X=H)I|QZ2Jo$baapJMek6*ZbrVpA45mM%B^u z#$>jONLJ~bFw}y%IQSV0ZsBvHb~={MSp%k}Rv9XG1>T2C&nf0%X*gQbY7sMF z+4>$vh~FeEsRJ|eG4J8tf11P+C`@wkMy$E;Bd4vohIltRI;802sVQpz{uSmuNMD&c zl;|Ah<&G@o$co!b?{#+&Lmml;9LOE&9iKSUfussLHrU1~@9tFefwcs+um{-UrwkU) z>qXLc(g_|M?}^Uob$)U|;%UTe%xlJQK4})Q7yvAc)`P^HNsxlWKYryQ7UW|Tqh;;| z&#b$!_mg7xc87tZ)S!kFiM1e@;aAmwPnV_wBor{B(IT^#r~+1uN~E0qS+igctS*r_ zx%MB3S0vmvMHXoQMT>BNgN&s3GyB^2bSt~!V}F0O!v4>}QUM%L9pZ^9w;Nj-cl-Yv z&VLUX?`!zZSy~X|bFV0cffH1g>(3Tn&h_nLrp%2SzW*Gj-?E>8Hk52!X*1mGTz^0Q zvUFDuZl}THEIO+XqHVMxs#yM%*M+L!Wmdu&HL62iA~Dy^XXI) zKLrz0EA*Oo4wLAh7A?6fZ}M(n$ODHuU*_vljMZAVGkAEZ#g#6U(CR#Fc6fvk@s#2p zQD}5}A~7U+y`5#uexq{4P+v)D zdTuT^J1VJe){c9*G3stFz!v%+CsCU`(s;ex0{9W1x_W8!(?58@+^x4jJ?%e#TzPv7 zj4g42*4%X!zh9PryKAkZM?#60XTl7x7G?fbF8}ZaSAb4pyjhpbj{04=1upDHb& zqV$Cp<6nWrVUm$3#+{SxTmhw%oE|ENq{Y)Wblq?*x0hZC7iZf)314ktLRUgV|G)pH!snm>ex3f&}@k83=;j*PE=5^ocZOW4%au zu9q9(kL0fu%YuFy_NZ@5wK7->A~y}w)qf{;(T9ILeXQea zyevGP;_8Uh=$RFqUzjhA-wryJt3B5zb|;+)bJR)jdL)rtrmKj;$^1vIOLC2bUhUDBopiu8(aA7KvO?u#VsNc4#vblY{{0i-EyGDd>83;t`KJJ{@uk;U zWK~5Q9dt0XC38cN0V_@6rC_ar-s5kiXlt^#XpHUi47XoS7ZkXQ$hO8lCJvA9x=0P zm@sH`q)fURm%HpfQSp*TBett#-^5y)j!J56-Y<3h1OL(=IU^8KZ_rg}F&g22!4kgHC7?k>>@0>*Hdj=(Kg(z&Vk`#5 zvpY6qd*KaW5vDys%n__G*r&XqURFWm&yFk1%!+)V>3o9;?)g>Yub7Az*+*pFIeA`m zRVjG6y;QGb5&s*~e5Pu$bSto@JnZC)b+R#Z$jexjKI7}p^fqLR2WE#q2+9`T7-tun zwqg~TLg4Z+v++q}{Toc#2i}1C-cdW`%2N83eh#VukVF*bQxCi1;du}4uZW}no-X&p zmytZBIbgn_V8-gr#;j^*vUD&10&TGFbIyMG z^X+0oXk+;fE0_$?rIOl8+L>e)g2CJ)Y#XaYN%@P#Ln}U~;&8At|DFYvs^g4cWPHA3Hqa$gn=(3Shw&Y{>0ReI?3nOA z(rL#(pj)Ub5jJVQ(#7gH-6BYyFP-F|+(rd8a9a1DH%2~|d+g(IVbYOUi%K9aWtu7u_WXj~ogB;wGqH?Oo zLnP6;T#HymfZvj;0{X@H7eVEZ9#jY=*Xrw6%*NJ@w~8;1)b$yypX|MqP%t(+B^RAw2l8Qhbz1^ImThr*q*@i~%d z(7DrDQL8S;{xwZt7NS7}qtL>VD6Mbb=;-cbL7rD&_{!S4^X#ky5`8V&jGeHG07yam zFbbVQ3%#mMV?tjhC#pFJZ9F(Rr;X1z6AW+->mf{R!`_pS(QnZ#-b*QKTI6Dr8Wb@%#Q{ z(KGG+zVM4z;K9x4b(Q}-3C}phg~Kb_gp6ged1!~njPPc+!Rl?ubcB5!Jc^--+(4R6uGkSPV^u^6G96gbu4oW97t;oYM`f9f!3%12c0>F&<@ASCEO;7w}TFTVlm zZ*_7IY`E=(c>OyQJl`d$U~jp@1dXq)Ww_g4m`!9l1i9}! zalaB7SwVMp54vRrYQ`zL68j1N`ne z``+r{c(dizFOIJ?&C=fY_C2Q=*h{Tu0#ihKJ|iMMWO?>;SR>r@a^CY{&EgDRzZkLQ zEsrhvpweDN>4Lz`f@VV+x*HcLs@}GOh5?Y{q=sDlR%2sobz~)6W8Bt-_-^q72=j}+_mv6^uPpNNRt&MGmIYK%qrP|@mPq7C^>qJA^DtYm0Yonh zQ5OB(G79*nRuOD9)rRnUoYn?s- z6AfyZ90UJfY*4w!N41QRPOWkko~68BUjU4bj4>h_xxcKJUhT(&F~>swmDvwE@r|v= zEs$M%=*gdUj)LYmWO4)(<1MDIuH8KPjIKFkpHCby9S}&whK3Df0|wGF@%%f=>KL8I zr6~&;^BHem{auO?{5>)uh)}$l5Y+iODTdbGEKhKxjzlv`5pLpkBa&%_(yO18<6uy~ zoDyB8KO9?3KNZWf2%`wRr3 zHK-!PC2Vpxn!N5(_E|&z+M>BdUz)By6~3=*dZ-lcP1rr7HhcU?*Y!%4h#il?C%5Q7^=oDgw*slvs{DoZrG1cs}46xWk1GTL8YMk9fQFeffXFLAwoL8 zcRbeu--g?m#?+_7=RaqLt8eulLt;Zzw^C7NoE>W1(g)p7+WxqDtcb1IX*gUNYp}_O z^C*?8?+xX4uHM*PIiB!oQ$d+xR)?b>j%P_s2_FAGC-th|gEIc=bYlu7=!~LLqmtVZ z-&e-+8B+Z9w29$vYEl9W3PM8dOUG7hc4AvQJNd+-jV(~@cKeFgeIl-d?8HHBNxScx zr`thqQr~jM=#&Trm>2(qJ)AV-5btR1=^j%?5xG-Q= z6-mI+o=#R~hjn#XvxL?}r5wJKLs3?XGIVzNyZ9F=Ua>E-klFdm(7mP(JQ3t61##11 zJr(Ixv!}%Uo2pC#cCAI-hlddmvdYK9{#ux$2?|DKK>9+a z^Et-2{sx~2YL*B2@r!j8wQTMV3S`9x=A)vtXlppn)R6fORaOFc<09g#`XUTC57J9Wh zFEX!LE@B8fu5DgOk!W7(8H8M6Q9&nP)@#)TAzFD$-r=0zira369%gq&c1CcaGkaR( zO;S6)3?GR+HuwaJcxFX6p3T+nnULQMYh~2fmiJJ~a^GHN$oZK3^e7T^rC`l%7Q7(?JZMneD z1^k0`Je_#$vh#|_yr36ocsakg@S^9GR^QPO_U5?rP`f)@Y4nyK4y|vl%D|{e41iI; zI6ntyILtanzN)6Hh_|9RGb7Jx^CBB8f?py0v_g|X%p+_Q9(XDkHe{OgCQ!CdrDxjM zTCnT(m0a)P8f3b?5K*G1o%c8H2j0tT=<76nQTG8^lQrtgQM+9omdw`ZIWf~}<62?6 z39@u-VI|t;&JH5sux4BLni%SnHDCX3(|;Q*mNdPeOy^FLG5a&`w-}!w87#aMXXOXu zHem8l7w-6PVU;rX_^zkG&orS5q}mX=C+0AGKCVbDr2E#!yNkEs|5qBk1Dhu0ZPF`l zo(bI*j7bxO^6@fMk)97tw>orh7V7>z!J+A*f-!Y#hk2A zD*rdOX$o0~86g*=UY|jD!9FMK(E_y%!tY*e`?!2wKJ5tm=bp)p8Tz~64Zn%rWAo>G zL(GivzVY)}2>(c%)nit{+m(l$nk(lFC0WpK{d;(vRW4i|vl&75{_;q>r;SFt4K{Bz z_1dd?rS^tMm{VKhr&Z4O#kyniZM#~jRPj~Sv%fs|2Y~+;03S2%Swi-uA)HnQ$57an z#{PDSz}nW&khGRVe#VU?vNDx@H1_;_QRY<3Y0TUJXS)P`O{i*Rsr~g~=pJwSJDmSr z2`?wXzgXtGr?~k6D&gYfYrhibP~6trcd?oLrcXFE?TT_{KfPL`?fJ4cIG)tiduxts zMom(K%_gRKWLh9u1?Bt|W^^D>QOzK@xmh666%I_aAP9Y6y=SD!{SBniAt@tK3jGr> z{d@YSB){cHQn##i5GrijB#7DHq<@v%tUl`>ZarT=c~iwhH}o3RT8RvDcq<75QjEz( z)leMyWhEUz1vRkB2}~cg4qnLEgTOy7)?(qM3j+})Q(7v5VKZnlB!1e^DtrIPGAoVL zY_A+g!wIsk72)Sv9}vS3w(D3Egl$%blqaBu_bQZ9O`FW{ZwvM9YkbpKhkz2I-1elr zbeNrM^Yel!(c0V_tT4X*Xre!1U zg#heRM6^yBPhR4mgg%-sdeE~wEvV0-CkmEnZFQA##2SZZz7`CQZxYS$IAL=LXnrCM zI%RgV557m40%K!3>9yLL7HQ?%yVDOU3;0}Xrxpg!If6jK9@&ec>miHm>D4Q7d7iwc;;}lpn4xJ>* z)M@36`hix#`)*K}ES#4lS|aA=>2-gM@Lfi?t$}7LaZT=xOy+Y#cseLsYPomTod7Nf)KC{BWzoKNr9% z!myMbsku~XD6iY7ul}^_e}?nX<8rlAu$J`vj+D%)u{IoIJ3oVR(rn%&+`6x|O+nV6 z;2?M^aZE8T%8}%%EF>%*w0%zecNW~tv0fH-N;TlZ3Dhq!+hH>S2DsM7O}xBMq!O3gCaXe9&%m{tNKGQOwiKJ^9Fe<)Q!q1 zVSZH6y3xeE@+6Pd%6)f+R=>gBjw72XFU24vO$xznK{x?W=Q;fHLqu@ zlN%aF0fJw z-2I=%#>PrDS!Ac|+Mj}ifxYWXzLzxdwVl~)5_7EAUrOrbpG26E?<+es4=ypO6!Z(^ z$gE~1N@hyk?aI|NF-mDDU9dri*amSvvPP_X!*zeJvH@>01LTECezR9P2|peTfx-ReMYjaG`Ei~+-AavF5&wg*W7sFvDL2o7otl1KUA67n^dhiTS0<3 zN3e~QJU9EzTD3lAgfO~;NAFZsi`=0-#2m70&nhyAX!sSkAiX*}SFs`~Z~1{-qVIR! zE&`q`9BxI)Ff#1v*OVn=XS5efNB%r$7+{6l|RB zexVyvtimt;vMGIPBwfwI1U6)`Rp`+hYd-8%*2yg<9dlY|{R^hmRkd4+xk>vKDW^Uw z|MqLHDU-VOp%g`(CmSmQ2y|@eG5T0~4v)N0M62*N{pIv+`482O3Xt+9Vp)c;;c0m> zT+&j<@Axzx$}drd3+OS<*{R%(kE#u{_-nr1?5y(?3?&W?z69_;txr9kGnUptcT7?q zF5u333o~oRErL?gc2nIZkI&6bUn7yGO!d#qpf)P(*+~3B!*?~dwQY!3e&*_Z9V0b( z0ka5+1aT4z+yDHXxR6zpQtYB%-nl?#Gj8nY9tT^~G0$Srd5S6P;gBJrP=>}=zGz7_ z@F${IHx=j)6mkOmOA_00dN4HeOD3No-(B(M*#!5Ql}twYL-qWx?meYBtTMmOD;xPF zl+3WK7%4!eE4V?(p=)tMy8F1XkPol^X)%-5(zMVT<}rO7vY1OUbcQHtf0xLuxL7zR zn{9o_&BO@ZXeP}uMD%`}_gv?l+FD6(Y= z-!ZEug!_cB^p=F$?VeIVM}+AxzDNps)v!UHq=M=6a@c@N5;Q_JU`Mkec}5-s6||7R z`$LQ|2SSJc8p&c638O)~H0hnW4VlU;ky3&EjSXXxJN_zcgVFHJ#RyA>wfXlqZ1g6#OLB5(8t8>Ga~Xz0??jz4#Z4D|T3`WGa1H!o#>>W`gi-8|hAkn*95GnB-kY zlaEF7LM8b=MfozbJ)#{1Om&WJt-n`5lP(qsey*C#9d)Q4kk<#Ulv*306vK4(pN_q@ zd-XoZFcSDN&{X3vE8DZU!$Ny0-3+7vdI;DpY{cu z>H3!0LS+UhBn%#xB{F&TQ6`_${dmLgArn(=mNOJs>NxAtCB2Ay2c+hd&`)z^b*l(=h zbOe=QE;3B~O}Ol@W*cCvB&0Mw!MMv7m|hD?nQeOYZF)0#?AYId6t5SW`aW~0IG>pX zv^U;ia;-&C4f}MMpIyY%%mzIyg!^quNLhY{UeqR}_5HC8;y&S{ZPk%|?d7HDOW0>( zc;6-1x!J7n07KJhCzLlzS`!y=BIS{ZI%G9(kA~XbozA`0E_KLDT?EMxC8K5hDA`zo z0FKkwKA<+}XKR%(H0S-E{&J10s@RjM(htrKUb<&&tPU<$Buz`Z;g0DBkIW?ob0?7J zkz93h4=c}n~bvyZdX~NC>!n`ep%o2BWN{$chLHp%zCP|zx+I*o6SaU zx?-X`_mLfI#Z0eneSKH;;c4X1ep^y~MarV4Hbz*jd&g69TqjJUYZcvY30os}suNo^ zlK)LB{YUC2rJ587u9R&}Bq%T!9$a|7+2x?U+#jcjk(vv(z@vMM1$94P_tI?ofgO># zS-6tbKGR3HjW*_dZ=f`|#MABJ{{7t`^FYOP=2LyTEtPeZHCK$m`u7a#VQT`?={M8f z7wVS$VQu`fZE{>n9eJj)^U90_?)Jp;be?@nr+#}17Cntiji@u@!;N2H*GDny!WdVX zMtQI2Bq!Old2K^BE`;JE6k!hBFPi(!A&*Q%vb7xfL>0p23Ms`Qw)Zd>u;Mb}W61t< zqrpLsV7=@hs$V;^v@JMP48jd21zocV+z&W})iH(uFz{ z;*OB~l5s@I%n;suo%kzXuP#@okoW#7u4J-TGEgiB4aEhC{iZE@ZHzLTH=(t8H*E;< z`?YC`K(CD0uCMrZBNPoL9d=I)O<=`A5-I~ z+G+Eu5wc#XT#R)IMUeT;l>gSR7P4%Ko+HDIZv?4F6nO&ky1DN2igl*G7K&&{7xVd7 zm!UIWjdYrdOnzC^sQlKPEwumdL8@fF^P8%MzXr54c6ryYgdGgb)i}?6L4>Fb>4XiXCq!fHVOp$uxH%0wCR8a!6V%OdVWQ%lRqh_! z4Gob@znr_@BhmC$-iFshq{Jeh`+o}&96xJ*x!u4xi?tE%RR1+~Q8e~y?A<@1Sz;AL z;zdoX8`2VnGLi1S87}#=N&|KyErJ@2BdQ zPYt;U490K|zu#HDFPmPUmpF2sS(B6nwhfRu1Yy>--I%TreRGd~BIR;?Q+)L{F%W9t z&<)d>&mzjcv)DavW?sKKTl&L!$=d39M}P1N+ITg^gHsLOqWma5utsF`)P~;0F!MLOJK%=~VZ&5Qgi%KifR_ta_Iz>^9m3iBR0!+_nN<-HG0M#8zSP z6CAd>_Vae%?`h*7(drFqgh%F82l9`IFPJ*c-gDfSZDJWphu~eEvL!MLn2)M<65lem zpf1L}tuN-g>$#~Q_;mzGg{MxW+>^0rt}kgmFM%Ge?EHS*@65?TcvY{(XjSq-oDcuD z&o6#1{$b-M_KMg7ij4i!Los=I^^j}v2 zpm_!g8aBUdvF@iM7i1}*Zln7}nmyiC3JViS)bg`cbP{+wIZ4qi$>%b~q=*+WNI^Yw z@2tS8-EU3$s6EtbHUeh*=&W3oERv0z9>>PLaDKUuw-MPex3=i1t@rE{Pa)WDtOBZlOuexm7)U@D~2T*ClftlZ^#^wkniU?Wthc{EiA56wrp$-_t|}5UOX#RORS(NgWTkr#AqnwDpJ4l9iHBAF z5GW&HJ3jG{XB2`xAo0|h)?B65}M%)^eZK);d z+(ZXc(u+nd?XSy~3Z*wkKD*qJhuZgaU(`AeQ!qL*cdm4TKrhzQPB7(b?+T3Bjexo& zI`#01yKm8f8d_S43ZdGdiAsjUW@nY{X0n$*r_URt^?~+JN&C12!wP@aGGoToLwJ{1 z_^;>Mz7caJqovHJE_Ej6>t-0V|55_HLdO9KK9UKhd7eM>$yH^VBob3Oo8l zet0x-bwc#CxckO?N2LX9CSTF9AX%HpE3<8o;rfe@g~Ri&Iz9nuH8jF4s_)lV4~OoC zj&w^?S^xXrg1Bp5Wi2Ad4#QDuw%JEt^Gd!DTpx{LePnzB)Hy2I|1%!(w|V+q1k&~K zIGy9TJB1|1d0&01Pwc-2E^qOujHVJs$ix8+$V-h~m5pI9S6@xj^5`W)h1-ch zUHcMV50N%h*P6;tLrRF0P99r6);lp16M@;KhM>7kMDX!96X*1q0Dt+}e9&mO-_x?u zpqv!7E_>OgS12K^R!DWYjRY<%pBc89c<6LSd1}tQdF)9 zhkwA|ft+Kv>}$kZhdUiIK$2JU4M3mLee@CX*Ds;5e|N`0YP1hKeLv2QzG0c+v87Eo zQ(uy=Y@A2L-D*kd(#!SYzNDjlFjr-;h~G>~%_m6@ZB5;j?*>M|9tpKf(b4N;&g(U= zdDV8zO@8f`v-~2>CyBYMmbD$5b)m&LFNL%ec9T|Sxv@Y($VI_2^ieke^=nm8>QB3@ zQg;P@>da&JDaPYa%}aq!Uv5^#tmBv5`SFZafY^ILTFp~tWo5R^^OMNDzi@Ry%*%_$ z%z)S>xi+GKXE3MO&w<#%t((p@L-aOEbenWlu$HqMJ{ar=6its|loH-O)a`NDX=v0B|NT0%wMilI%Y8-uiq? zA7u00&twFyyfCNS$*SnkTfWDQtB1Ly8Mct?Tp(`H8bMzV@v&~qF@`0EmA7N#%%hxP z7sl|PxnXYKytR}w@WEHx#LQVJPkHy-8GNyczXE)9{=r?Sh6XX1g#sK+8MU;SUg+rL zZFSRush-F{Vv1hm=%1l_Ya819(fl4kJB?W{(qv5&2qVfhm-QvRgYh}uqgKOl`|0mt z#mG~nO=tXiN&Q(-K7*Y^EoFmF!6a^jS+oAd8p8w0Xj6l{{}x1fwv)P`KN(K#HNL0; zwOPcge%6=z#h7l~#qasb2+1Tkr5$J9ClL$noK#ESnOz!`GthvioxoHj0fOS8xGy&F z(5PY45r+d46Ei}$sXgt`qv`@`f1R|Z@&Kwo&dadMh*)YlQYw;N?L<8V~g;N)S8+>BPUda~W2eaZG$FnE!@x#Ld%;ai5GTE<7 zpFaKx#E9Dg8+<`vadr8B!3LGjQ1BV51jxeqroqCUtb4LA6NQGwS&_L&ek)bCsVvaa z3v5!802rLtxPV=9#?{jsD}=)OoJ9>;4}pNk)l1Wn(+qKc1o6=K>FprAP$d%OBPGADJ74e2s!cSU1ix&*9k~#G+;E<|yv%fe zyI<#Lq>IIXIzRh{(E&%ktl zp5sIO7u5+-vD0iXs7=u$#6V<*_kAn_DAMmaPR1+hsG`0^7)^gS85^uePU_2c>5SI5 z$ou1K*>)XEY&a4Ux5Vi;FSi#-6~AztsG%@GUS#R2c#fL={rx6QY5Tu6o<6gk3sn-( z&>&{ZW2J3o2Zd=jbAlST88Pktj_d7)hoer@!t!_u)o0?6oBdDJRo&$Yh+2yda2N4t zm?+9DhS+M5%+tt>W`lf5Ius8z^iSuzE{~Aw;CHCM75vjk#LTOp$claC7g2f*OCv># zEa*B%t54XF(K5Rf8tU7b`WI@OpGz2m9{nq?ZSC#Q+FeE<2n6cib#Zr3*|5*El>t_I zcCA+WsYG@J{>zLZC*H?9uw#%Il5vNz~Jr9FU zbnE3^3Qnd_fsZ_-zJ5LPasKmXx9g-mC+6(_Zf6%a3b2~9B#u*@^Io0&hH-_dszX4u z8H^oJb3EpDF#fJA(i*PE)x=!;Y$uDFTTg7&sOkbM>ELJI}p>IvrqOr#3u zVFQbtU>F~;^XKi0l!9K>4o66=g~7H!f>6`abU?wp(i|kb97Wt zsibCwxRN|OIXT0kRYB?SN4v>GfV4Pt*8de(eT_JA_eWjJ=)4He2egb{aEf%JGMvv} z7sLCXt2;p-y}>P(apOxj%WoT(a*cTZ=*&SAFMR*N@mcGeu=R$U8BwS|u1jx)6N-I@ z-=Ne*wu?R_bkQt@Z!CI8@YlLp>>r;h2I6@dgQmIM(8u&pd=;+kiu z&U%K|1GRrkxrK7Z6VEPgse*Fwi{S(I7e6-$?mWf>AS{4CL59Q!uEFJ2RpIpheyJ&B ztJ4>JbCab048=Q5vkM~occIXa;4yUVRv!z7wg8AW?fPF9c(Zk0C;Lpt%m+TKmbU3} z>GCUwZZ`#9K;9oI-uEfqZz^dd|hkTEXKhjrlwr7YqR14ns^w$YxZ5qIwlM1GBl;uvTyqj-CisW2V|7(V|U z)L8kf}&qEs{w8Ks1ONj{kG-aIO&ykm@H9q-*JTyyaT?NlrA-nmmIBA3R9p zb?ly-fGUtJx%R$EYTFH8w5;T?d!RU4`rFOWAPYkM(@h1o#1XT8X7P*k`_TrOS^?Ps zFg5qX(peLYV2Ot-1JB99?rxu#;N;on;yBznCA^xlSC_o-lL z6pruR+5Hok(FKTKP6YN}nOp)Bt$#>c*VpP{)mC|X@0khy5CBCYy^kX`J^)`K_8tNgxKsoqaC z2+)Pi6YXz5B{j9=9_>J?d*!4{t8Cwd7jmaIFgXmx$B?@(0_UG;_pw>=8NH1r+4uc zwa?}r$8#?$3d9I__V3Ha!4T-c!tUOh09RD1%>TPsh1#^yBm1GG`7UCg>u0x(8H!E~ zdtqiK*{OI`NyxT6_hNUQJ3m&8pLdsGjiLP9zTT&6rBYThcX8_KHN{ZlCE1)Cs>^$4 zspb+|phJmvB_F)n2)%2IqV+3qoqG%U*Rp|Yh~2r|LJ6;t4@5y5gXtwy%W}~`&%6=N zjiwz%DPPgwX+F6-RGFVdJCajDvMXW@$bIR!M*4m)=)Jzwxr@W|RqkKMXsy4}4~V6L z<;6+L8X}3Mu<@{KlRU{--$f}$v`OCn4L4CRs?=0}L#lerrG7xoaqa>g<=z-MFm))L z4?}N6A=_0+egbsTkZQ?T+7)`ak?tpMbqLQH`t{C~@DGd*IHl4p2!TV{8qV}AFPKfK ze)wnh;sSuz;duJ$&nW>E$zWqsvXCL#<^v?NW8~nw+49wzDM$adgSW9SAQ{IeL8uNA zj(M15+J6N#naNNCzNuOq4YZLO^@xCdXQgALaVuF$xo)8UaP=|h*Wjq%2Li{qh|~k`bkFHfdy!3lsUVTH;8myp z5zTn`tJu~}YX4Tz3f*{`@pe}CLnH-_p#^|#z|>ck@}t-*OY%&4<>yr|an#U{caGSE zpG;cFpgBI!;c~=r=OgmgFa9dYc-Yzlsjj|HRewy!UhX@a2Ljy~??}F}RQgOC89MH* zDR5WxcwRyo1cZ?HfBA1XA>wbhiC~c)U+@sIIRvexE!9nc6gmps1xTyl#lQUC8fjoD zC0g`Z*>rrT8$Vq(4s5<3hrNm`j*7zs>}RG>S|fPqIrPZrEm&B)n#D+dWzbwo(ZJgd z@cyuKm*WqZc1i@4`XU~Hu8o8_iGtzLsHmZnsotsQ_3wkr#KYd;abM2LBUe$ws};!% zd&!X4!LMips@Dm+$gW{8nMHz1X)RdAK*$~c(h(-e@9K`bZ7IwFmvgb}@p?z}8|F`G z`oEJp;PhVNKQn6{Qs$OcNn3X7$hNAy%$F})+dQxQ>&Ryc zpfnT|%Lx{ApK(n5L(<_|k(~07(v8N68OM|@8HHk-1fP3;^NN7kldq>Chodd}yNg@S z;um0QzS4;my-U;u@1&#EV7Ii~98r3nhd{?ZP7x11-+~ni;+hUzT!k)y_AD6%%Uns_ zRQUPL8J}~u;{X#(JMWL;Zxpk2FE8__JUxN_Zp3>&q)=6?ZJwtd?Fr`TACtYeHyDgE z4}pVyrn~%75anIj+?FH0VyDAY?WQ39>a%0x>SwR>O9C|wEEHE*)SClY{_i<>#6wi^ z#2mGQa6TlLC=ypEUTlnI(w zs7n0i*p5Hx_5=S6t#veUbHfiEfHr9BMVXQ>w_B@$SV(8GUR|>!ssMMu z?BNH1QXcsiv*98y%)XQ~3zv?Ht=IH+U9k$sFCF8fqscm(`h3*xm+H^V1e#jz(N=j% zQU@MF^|_1JXkjlo?o7Zf0HJ89t%`h}__oxh`rs}{XW&c7-5e@E|2{p+N16_`YH?s# zs#I)c>?cTyYzM+F7vEv@7-H&V?RD_dz_Xdn76Fj9$GOgYBC=G;Qxp@Qn9n8Ndm*GO z{?z0j+gJ0ZI=w$=4VxfFt zTVpF~-1ip$Bj|R+GS(C;kkSWEGJIa<(3Q+zSQT||WcMTukr!;AOy92FuSqjW?CG$Tm*7WvC3@r(0Tz)Z|b`DvsDAiJwzmFB{jL^}4} z?464>j`IWY=vw z^+6+)ts?U`;Z_!X1-iQ1+fUj1+^3+@@Ys)jws6lgJfb3UWBURdTjUW~Yq2VLpX-~iT5N$}lh-OY%n4h2C7ueKiL6nuHp(uwPnoHLi zVm}AC&rb^_=w>g!pI%o_WGjnsd1olD^&sXM9-{h#-S}@RF*vQZbxyoqH9Er#DG&c5 z(AREh8@!zv{ZXwQ%rb~ki(J6%SohCg{_H!k6Gwb^!ANZ5_1~nkC}sgIS;l>jidvVH zeQ4JLi^ZZ~+l;N4{L`J#xIS z%JNVV{_q#(W0TjqsFCfr%i6@@&X`*sfJ<=j^V#of z*oWanAT6Nr?CaRyd-M=OKe>;OZ9-Yw!o2q1^Szhp-^Yk*SXzCy3=xtuQ=G>RhDPv% zKNv83FcMda6{Ml)zYQ*0!pSkz6DfnAfn<<9dl|OKX}=}ey{)@gKmP=WAhTLAWyGyi zfnf6|Lz@?wYZ9?<4pF%i%45WfegVci`M?R3jmrZ>%D z8wa6!4*8wWtFW8RD$WFHy5|@yS+oL6fzcme^UUC%CB#f2no+%+z@eK} z%GjVh?;-SyoSa-~d9qEF8@JnIBj}G*HmC8fABiceU`BQ||VA#r8a&L0555&bXj2yaryunXzUtBjS;gBj;i61iQb2 znF7`XTtNf;5y0`n^u#XxD999 z#m%el`)$95C&TpfYbAl^!G4N>dQO5|ijWEv6inQ$HA6K=?k6F@q={{IiXCc{Il_iKSyCy@vz-AlTQS;od>6i0GS zZJVRlSEJQjZyXFd5T>Kuf}@3T+m*c3I{YY25&S;0kNPE>d#Km->W+6Qg$2?0y z495bwqG-aL$zG@=Z+w?+wv&_7kAHkBh{2N*J6Bgz2_FnJ|BF>b6z`fCuB2OH1(oze z%1U&_C;fBy@%su=|I|S9OB;N14J|Y6=6RG&9~`8^V+?X7cCCbKP`29TyHuIx*W}J; zeFUOLIy=s}=-!#gWxC`EOv6oEvwlaqsv(v7*6UOXDNDmcd1KU>n;RDjlmV#C9TPq?n|JcWXnBmdv^)H|`9_#JNrXuJ&^-x)9Qum+X@ZI<)J|UWGjD`Wl*DfT;^A8N>L% zoY%1x{Kp)B2RJJ8##eqxOlYjCWKBMO=Qt-;cJPy`A{IL7wJ2VWh!G8 zz|2%dh(Uzl<d8nMDV)YDHd0_!G6i@m7WtpPNpL%K;U` zmL@j8OXN%-7{V%8oZ%Gywi5r4s3*@a6&A%!WW7+X*Lxd9tTHQ0Q|zpU%u`{2>hETb**HPeP(7?>2GV&>q>)Nk-rkw}co@vMr`Ug}cZBe+S&e^tk`JEX$ss&R286aE7|2~t4CF`2UTwoUMF^Tk-pYbR| z1?1PMi9w0D%-`TUa;cJ1rO@|xDSt?cnWslK{z22glV&PdU`pG-ZS_q}9aG2UkWTO4 zMeLoNY+?aJAS8fF-naZ&U0SllR+~-iR*v%Pw>$3rNCoN{Q5q{6(Mhp0(WtuB z@-jvv)Fl=st_Pj@$8xZ-=tj`TB(z_ZH65mU>wO=V<1YSVG_+i?^Cg*8au)mS#qzE) z%S~a3mXSxMCbdXkGQt1=09fixJoHeNP!d!2bL5h%sE0rM5=L;q^Gpe@SqV9R=VXc7 z;ot7$W&ApI`UHlf>`#g?#r%0?uz+R6f~r`x9b{m(s%fZk;zRoWTpRqhz8xfg(EKA- z4qL91`=Q5l7=Pe`o;y)^#x z_d_3RwBEHB((=HVEt0G4I_xlAk+_;0$c7`eIVgO=T{Q4jXghK8jh7YY9b2Hyq-xkUl8q?@zFOTktHB^-~&aufw-<;@Xtm)RU3R_ zYEDit^bsZtXRsMxx%h*tzGbZ`-1oKphj&wzxOR4)7DIQM!F8a`@iuborJz&~CCaHy zq1k5k{y_6pW|#o5$!qdba^-WmoD&BQWDccQJ4@r1+9KN+0=wu82kY6 zcMBFEH}5>BlxSA>7=W#}S*$^~$^UQqefRlzY3}u#jQ^zUs zH%|e7kyB3JS9Hc3a?2Vkr@&mQU?$gEA%{D=L7x!yF|O%SV8PcE_^gn39}%|k*NfFl z=-{q8fNq-__AM}cRr$mh)TTWb?$cxxI###ZCg*z zJG6($Zt?EF>Q(mfzl%D?M3!jR*@=oYe&r8HzFBCY4>KXH_2Q)H^{7kk;~I&Sg4X%n zuYboe&aS6}-@v78%=yYG@xS5~dsF8&Hw_g|8>hv%ku&*lo#lb4uB5CMZkV5HMkYxm zzCE#%D!@K22Sb)I?A~jkC~|^zO4uM`DASY@Jzq|l*(XC-x4B$(M#4zbiB(Uno5`n6 ztb=FR`u8Ii`2$U3+*o>e&8OAL$y%5R@W-T_9GVcF+8})6-!%_q(Ej$%?mjFDi!1DZ z#KU7(((!+--@aKu`P4tjR{{y$+)np1^QWZ7QB`d3FeyUI-9C8dmnE9Yex5uZwV?27 z6?Whyt&q-r!DU5z<0vBGVVBA%M5XZ2c!e}l>=U5vDnA;lfarmJdi<~J^@o~m@eyr?Alo2h`HI>d zKBJyV#fvZMZ0ST(R+s$E4?BqlLAIA*tV=ZS;_J5@XTeh;2X_%Z+zO>H-eunD&IWfojh`A5$93hJ&RFQdSVVAP<5cRd-rR@ zX!pRYQ>2(dt$)DBwj+!HKXoqt*<_Ej#T%~i`__`AAZzi_b!njk(?~CL$_k@bqIa{K z#{vr$kj^&9&J|os!5)ZZ#aqUsL~E{6M_?-2F(6%DAT z@^T5(R=c-TIoQ|L7n}5%u$09>xP*d_@vHXx5^TBL+Gky9#>UU+{nF7H-+YXWV=`M* zQ`CvWB%%#he?nPSMdfGLpH=9~PY!^(zFRyFxsIOTIugl9S6|cm59WZRgP&MHdGUxV&wPLbZJeglpDmi~v38L*- zHOy3f^^ieXDSAIaT9!UA1b(5yq5iw}i6zKD+V~5ymgmSyOqQe3h4OMpW-_0wgL?v3 zMOsPbx`K|81Z_Lvv>Sdh5A;VjC6F+??whClE~{0j3msO9Q_#B%Ts4#WcaUAXo@v0P zB;v+A5F(wZ6Kl)x{EP(ATsz2pHL4+r7xG_5K=Q>*07VGgyP?;2=jhS3d-L z`f%-sfQ%*Y(Tp4ailRO2338xXMbPC2Yv;E0qpH6EDY~|8=8HEvE8k2Dzu6Y+67~oF zsJh0C@>%D*qtKP9Z|eqeI|hb(-n5ANrX$wBxK#gTh`oOGX%X!tS9@ka4G9PN-JPWk z_8pEAD>(*x+7SFh45pFe$X^A`pUmYXCO-qyMxKSMuHjTCz@$qPUg9RCSkAgoRNVF2 zs(kza(sIu>X!!Qs&lIBzvpgFyFQXC3tpn!k<*U+=Vpi5w1WG5zdiSi-ODY#-%ax|J zmWcnoo!;2f#=VC(&MOw;n!dkn1($}M`N9OUmUc4%0IIm*b^L?LM^fYt4~P94QrHZU z4~MHR*KOrB{_{-2=)ApeMOcjg(y|=@Q8PTapsXsFP+)|UYL2o1>@iW_<*=IFhiZqh zP;7-lP_&PWIDVq+;xth;Iq}}+PH~bmE1Dn)r`o-)w-F?$&6hJ7DI9*plbemUV!NJe z7cboZ)UEjshyRvQ7w&cOqn<otMN;j4u|M?pBHXny9)*W&Mp)^&&q{!BS zuL{xQ#;z0nU;Bk)hmtj&gz9r~-hQkwCMP!<1FvyEkKkbE*^_O(L8s-Smkh7MH=yVT z6LY_aAoTrK^7$V3X^i+2hJaR6nWv*Azg7s^=76sRSkiojrDRTdpMCZ~As*EAa&T%c z4U66>oUqSdJ1F4Fg)G5^v!0=T|-$)DMXQU0B3UyH5xPSZFQ+ID^8-CQnEepg~DHEs-j>8X=P6WA3 z6c8%3>Er_1hI$EI*nupTU((tzy2<+R@Dv5MJt9dMq|0m*4E`P@V2NV3MbTF9IWcO^eaH~VBNwOH_*`O+FM`^~|!bDa0y z(T2Ejo!m&EYI+_Qo8Sm_xsI*8S%c;J*o^2W8#za&9{M(jDIw7bapNGeGzKwRA8$h9 z#>It?Eha0s)KqEo5eyB@sL#L(#IAXmjz2CueV7Ou$;L|jj$+ILDkfFl3}?oIAJr#Z zDRowobX1AwwBVLk@~^Ws*wFdc%=2P*A%VE4i#Obs(M0fmuHZNEBAG9S42M~uEoIal zVC&9LyHU8VAp)T7khVuzG+GdZu?M86?FH?tY69%oyqtqRuZs4C`wPw z&0laYp^l!rpZe{0-9A*NB@6&p2_8cQ?C*dF)ECe;gl(kzD`tA#hh7W<0^b~;jMdkV z6!s)o+U6R^hO9Y`)Dc;vL8txwq2XZ~*i6FU##?4;Ezd7B$5&NWeM#nH@$jks2O$;d z6w+fy9VTgRLnF^Ijp{<#UCo*Y0JaONd8=S*p1H9{>LWqxx@ju)|$nJg6)5-j|VEar*7GmEr zX_er!%N)}{HkA3Evmc+PH)eKGj^-a_qM)Zf24o3A2>5EPp~z@2N3#wjQj`B_sdscJ zqAj{+s&|y?rcn4dCxh)lB`j5F8Z9J z&$sF|I%T-u*BnnhHO9fTBE1MLP|Q4-JM;O!jzM>ClKPmGD&<0_-zy%?M?9(H&iWx!gZq7}JCI~t)vyE~wow;o zdyc;&YeT2g6xgN zVZ^sFCX5!sUbLS)BKk3oM&Hes_7)Ki)*}oZz~nQ>stbK)xdb;yR8k|eikteVAC67L zV{FrGzAyczPeEq(&-I4iAk_?M_c2zE&|Lf>nO2QMLhS{@0-uI=P4aJH!j|_^BaPRD z#-TAtk2i1<-dyX?YW54AEskeB9w_7im_a9DC!;50My+deW(52-1_B8*P&o95C!p@8 zYwuf;VdQ7aY?VG9m3hJT@ip}r+R>lVN$PpW(#@YamEEUCp;;bCs!~ul0@EO0UWi-^ z@%F~%ajxc1#Z%7dLm$#j>+&e+PdAJf?+A4)+1QU9wgmy59u)KE&(!2qyZQVSMyuo$ z^2kk1t-4;=G|re`*CzuiCKOGe{G;TP0NRtgOvmUiPX&TGl=Z_6#dE<>C%tUM%pWXh zMKwq6Ggg0meWrI&19K_Z%7{`USSI~f8;jV0na-|BF|*LH1@Pa)@zgm81d=wJobX|V zj4Q}I;Ej%E(=egvX&wpt*u{dyE)jU>)NO@AOC$^!!c=Oxs5n-hSWKc$@O;;g#LmZ zxPtasfVaV6Hn146VpO|YOfm+a{wea1?DBK-@2Aa0GipU>UZo>NI?e_nC7DQUkFS?| z$ljYsAHpCbFqiHSrq`3hd2x*giNxkn&_WpMnKD3{)-vbu32Pj?uA*nHEMmdFxe$D4HMbmjL?_GO3Sbp}JcY83$G>=W zs5686KsB9MU~48a#b@sot=fiQ&9sE5@UISpWUI-$kAZzoW^}S_^3UL3)y_}MyKjc- z1II4Mx5?t@X7uPdR0~%*B(_wC)TMC_WH_$BeNZ|)VmQOK7Dcvb6Fmugf}o21TB9zz z7)PXaT5_5^z%Bhf8bI)P=F5rv^VHdeKqoCG&yye6H1y5e^2d0C6s-woN1Q z80RlZ@?iqyK~~8sf{2-k)?FuCkcUt1>HZc#m+MCdMfBn>gaZ`=1EWfLHrR6dnnvX< z8Rwc2WFO*B1$er!uJsAN&j%FXvK(rTvB0uc^fBRS&h3##qVDt& zgcbe$Q{wI-U^<1Ae_xfT(niV& zyOHkL4_j@Q-^b93_qzN5pSe`@^<($mBWCxI2j6TJ0Iwz1;$Ttx+fvor*K;j`4#IW9 z*da5GOc?te{nF0b+7nG033HAQRWN4E>|e&X2YWOe^Ilc^OO+&F`hs*0eSfQPniQut zQ#o*$q&l*KcF~^cc^S%nR#{b9b-PALXA+F(xU&sXZ+&8|oS|jJ=;xX)r;gU7!m_BK zgabl}z0}4i2^Yd)-)uM{!a$|Tp#@<`hsYCtYXjX8sbG4vX{jq|RV=tu37qTJ@btL% zGzmFw;AV1-geKrpP@*&weKlvw|L`7P+Jn%<4XB(5xeA+ftU@uuPQKSnML#P z3+td#>I0HASNJ-b`;!M|)BC;0es!rW9J{Z3X+zc33!gbIv*O0Ob4sD@)>WI-S($RJ z#kNKpBW-8UCAxCH(gR{I2Pzil&6qyQW{KiX-7(C}5Q!tGpS6dFx$R~cApJJ*uYMzB z2ps%~@eZS6Mxtr(T8ioXE!8$?9Vx3zE*Db`{bm37ALr|V3s-24SQeW=E#3KluRgNr zC5;@_C0TrIT5mL5x|PPe6O7=;ey1*qgG1!r-_zo;$1kl`VM(eO;N2sW971dSWZ;A% zqcj17I@8xtJ-~7R9>B*RYNn4(w`6?3ALgz3bDSRxV?s(rJuI?US&~ATymnaHHW@m~ z4P~fpeYRI0?{)`S_VS^6<4j{OCY^cb1{H2n4Pc|OS z6F`sXO+Y!lmpbhZ<7KlJnf7yXuG}QY>8J;NPD$};f8^R)|AhAb75q1w$+BKmVV6cw z?K&>Hl3`Na*T_yrO!|RREG+Ouou>nHC9xVk3TMWoH+@iO>rX0W@pbEM zH~EQ_!KC1%eHSlD$bYOL`!FZupd#`@w95Hr8;@bW|911kRDWh-F!Dqy-#rwAm6;lG z;QkbJcUpbhyGFc0c;%nyDmj9UYIgxpR>bzj-&1jgD|%J*JKhLE#OIH9zE6Mo@8iD? z*Dm}D-HL)xcAy|)<3qguU0M^$;U$$XPkqRgzqXdW-H=dTd?mYacNpl>nG)2&(??Fd z=JXj91WTe1;H+5|9xTTB^yb99r%i?aZ>BxQws#jRlYS#kwq}&{bhr&BYJj;gatgBc zGD>$P2NvTiRzy8aobA@vf@YHbNaYc^DG}Z0bJ7u+LZl=$3P|LGhOkDAc!zgh26Zg# z)y-UT!d?aK$)qsLXISRZBUogYLQ%-?c>?T2Yfe^Jmu7d{Mu-bMbMhc=3g)~yWw8Za z%zLydh<@Q!3=OM3H4}!(WnsBNNL0yKtD=HgZ?&Zy@PklwGfjI0k-;1nu~;ZizNBg!2^*C14(f)iLuId*FIB2 zo;Ms|ud`o>?c3jNFI5+}@v-FbgT|}A zE0X^eVILYm?-xkG?-V(7utJQDLaLlf9E4>D5(-6A7KE&gM}qaFj(mxRcaM&c!b`}u zX{bSp1#^i(9Syvz2b^QS#qDPT8c!F+Gc8{}mXI3{y;x-@*DJ4!4s9q$98Du;@?94v zJ@PA<#C5M@-;peQK5jT<&PI>W=zDAyl&xZ~+QXK`$f4yG0m%6bv-|&u+b2Ztdm3<7 z38urM@@^kB(H}@|tRLlTaM>yFM)&3x%Kh@HUh~9A+8Wk@jzQfKA8U&(y$XgFRG9k* zgO8LyzrGdl^Mw=>@p+&hi|as>aaWiMMmOXj6RO0CBUfB7tgV~fB1ivdH~}JR)Ct4^ zgkE>1L2ea#b1Q7lS7hSglBbnGaneLfJ%uz~&E&jln=12qz$nnEr59UCS~8>EuREPl*iK| z_K3eFgjC;ZahKuZF;d$y#-3UNb2ol#K;DahxRZiqnv%_WpFDu=sp>mHw@mf13FdeU zli*I4CEi#u`qozdy=1P{?BBS&i-I6xF2&FeEqrA`L6Fvqhxa>Fmpi)>;i{w`YN~T3 zL>OlBdxLv1X0?@rj!=%%;NW=LdFps|FA1J#m&N9%l+!GHFNfGY33M(Pf3cnT#B<|E zFvEX%bF8M5Po*GveDrJ8@gDg4tL=t3z3M`UpbIuM`=~Z7v%WyaysJaFRGF|ATJ4P_ z?J5I~j2m3Md@#cmdw+Gm->3dhAq%Cwpa~$FfqvX@K2gU0=*`S13G34n-Nu12s6+ZZ zJ$%Xg6LH*9czZg`>l|m|m;Z{l06eE#2)2inI?i@w_g%oN20c6Z#0d^w+A?!f!(D z5JW=YkV(w*o(>q^qQv0W00}Wh3vGh!LWrxq^mnIFdaAfGc|9VIs&Vc$oA*`SZ;zk) z6m>I5_)s~F=)S={>1YNCOH#}7NLqj$%yC&_()J$|mt<|9v8z4PWz3xf9-U-G+CK%c zGRaroMprVTq-ARxnC4;2J0Pb;-GullEjh69SC{uc4p~-oxb}09CJxV^evvAL%Dan8 zQ6eixLtRCb=6$ncJsIf)$%orhIY&8;gbZ@IfF}Z0WFb_W=9joT(k%bsi zx`|Jkljuv(73j82V~5bwsN?%l@&_`cgkYk2UWQJ+m$*)-nII(ZJzkaYT=pq0uy_a& z*jG;p2MO6chtNXS#y7{84$(8_Jy_O!dq4Xh8AJ|NyPk2xBdP6qqO1Na@u%-X zC9}y-P&GF+C~MUTuBL~PfRyz=#vRR(B-`aAbZF!g63Ha`^5+h;O_Q~q_+fWC!-6`; zI{HDCJF$WuB0Ya6>JQ+ms9a7XQP(%r8Sx+s#E^{0NhTV$p6xrqJ0u)-lk{isW)W~@ z=cdN70W${rOyLde_O8D<6RGOmbI;o*2P$-x%7CiM z179eAg*L?k}`?m6V+Ku#vqRvuA(r%Tu9QV?d`x zQuy`KW7*qe8h32#E#m9lpv+NT@Ciw;fsp+!Kb|z7XApgn1}Aqfm!XWqcV%UdUmMYm z8q#{dY#fPKoA_o}ADXb@o#}*`iFQ{ETVz78=Ef6G1Y|UjF>~Kw#@gX@! zZ*02DOWtAy0U)FGvRw2WhW5FUA?VDZ_Y(-_#2Z-luRaAX!G1=s#MCQXEKI(wUQqAw zk4enPlu`d_85cr}Y%v6MfBxTWsh`UB0Q*b;RLZ2`j~+Kx%94Je_8;w$cuH2Vx7Dyl z!-5EF2JznmY zxu0zonpI%f5WxJ@P%F14|33g{L72W*83{+p0n1im($E;l=AN!#H{iYjafkjqESnR~ zt${b>rS3oxg&>$KuUfVbz=lz&qtL7s@4f;`cp~y6jz95>kx~|sq|mYyK-JYOT`X52 zJzNh=q=xJ;1t&Ye%`a0?6{Mx!3>5SARBCW&0aQeas%vP4hpX&UC9FIJK+YAiJb(U7 zL_F+3g^~?aLU^SbHn(CBPZklHEn_Vbx&jwF9%4B?K zTJ?b`qhVZl$hMm%h5Wmxf5Q^&<}q~_#_N$Y?(szAbULZ(IF70s=CGVjr&AvUw@>zA zgZ}#o6C^^XCC@vgIPYW|PH-&GpFe+icrf(e3|TWYOq1jBXcP-hAPAT|UTSCu?M@PO zN=^2!@f#s@HX`$AhK@Shc4NCn{%q2Z$^bM>+mBiGkB~ly7yKlQV@eX@LnV<(U@QRV z^8;M})xTN~jPJgCkg9MjDe>9>fKVg=@bGY-a~j86FF$rzh?~!bRTa7|yGcJLxh~C2 zdvAit<8f4lg%14L&%T)F`TzRA{#8WWt+Z1_~d9{-L$D7HIAuH{ByGaFLalP`AgmyAA83n;{hEF#_uc z`uDiMl}XrYxCvY*hzad1j~i8k3^p8#uRIKy^Tsi${wJ{N9;~Xg-j{V*r6fglnV0a? z1YnvbJCci*BvQ&?+Gr`sJQqmyCX`b$m|sdUH$h0HEHJZyd7gr4X|x55HaUl{r*&56 zT;u)@L$ct$B9ilPI2I*sIBR{-$cT4fa_HZQ)8TMn z^dEhk=Q$>S*rxYY{Djh{v;lZZKXMA#VQX1EC>T~TKe`iPeYXERJgiWlNuHb6ut6No zFa4G%@{TLHN1ldZ7{|fT|1jhV6;+pIxw$z`)1r!L!m@;qBT1>+FOtAg0Cm^qx_!U? zHy}=BH4YF( zi>hcb{c6DF{%XL~3$)|GMBp_T7Iy(2pO|J8Ge6tjwn_b@R~`bJwu}klRIPErD28`Y zTSOjCxTyfu5s-6PM&Nbutnjc{<-rrDWKe^lYEiQ@UU7g34BQ(hs``vdfc{QqHyn)N;Ih`B~2S?*2`g zCV^nc0FKAw{r&xT7yz8kQ%Wi4bu7=*JPrqDr8qTvSD)c~Cu7Bfll%co{&?vU(C?qQ zN4rp_!H9wQ-{;%-iQyfy5WAW%TzFG#gBJs+MSs~8Eh-iFDjq*=728%6%WYtm#$K{9 zE7MtBH;Jo@oW0!wqiS(4;o+JlaJd=0-re0b+>5H3R*YfdtJSaxtX_{_tZ_O4iqV`^zC(`jtOu!c}UNlNXmO_@_gb!nuqpypn z7V}yU4-YS1ykLqoq_aN$6j91<8a}iqAFBKKKmX_djORdj>UQFN`q1t5%P+rtccvdP z@tnIt+n7>+^EY3>k1m#}UtT01)}CoO$Md(}eswuxE%&p}*7$ZIeg^R7%?ZHUx2I`Z zVuu6}qG!1H&eF@5Uo6Xfb8`d04eZRR@G3sxd)3cB|2(B+i<-i?^r-~JdOZFMpe9g`CJvRU%!DHMdiF+Qm2#-hrztV4Z~=n(3Fa50^vTX z+sz949W+9!%$qGwgZ^T;kLjW=8IE1G!gqK%8Ukj++3{Iz1{{V57ZJEw-F}OtAjz49 z$}I#jo3r1#U_NSG{>=jzO|2#Q@l#!G?qPyfzAMt4BAe?DFCaO?Acj!=^ny1jXrQGm zbhb$?gbuuRX4K|a@%aj>iT+I|WX-nnFVUox%^+#30>y4x$~v5JTEhi|HagLtV%ESS zfaaX1>1=$Lcu=-F{d^L}SAdF$xdaThgiTq3Ucl0So?ZdXKUDq(Om7z3yG~oqe~F#wGc;2|NcL}uh3Gxb zZV-9j@_1+rHye>Zm)U&F0)B(4ef%sgB#c(MJQ-Pe#7L7N~2^Ok%(W}la!y;xtbVC5ivG^N!=jq zO9k4nzJC4sa5!+-;D$ujM`Hu5c2(WQ13b`Hpeg*AVd^~3r4+kf;6}n(1&dH*_Xb~m z^;M9L8~?lC{jRSUK(J@;nT!MccSsveqfV%P}g6h?XLDwc@4}VH-zBX%R8ygkndhy^qU%cgUg3;$g*> zqT1Y5NH8^)%+FOyM!>R^HA+tS1hiHR!yuAO%c#ywNp`WbEb~%|hzxm1DgW~4e|7ip zR&@q&b8~Y#pKI{JAS?jLQWkR=bhAslm40>Lej@VvkCGa=$uDt%CE%YzK=aN|8W7(+ zG$k`e+^xEq!(2X>$+e^!Pp}PE6-b(eM_e*{t!e7z@^u@wEM6w^{uy;$IYa_SM)_rp zAX(Gh-JOUm%VLO`eGP$zuYv4byNKN1-!s;11|ppHTxsO)hy)zx_dG7v9aeBEv^QE$ zgA-VmB?1OBLAby6=QrPc!_GIaKm}7hsu9iI%)@?S7p@IW)cueK(az_y@lJiZGQEFt z=@T#jz0CD5E%Chhai>sQS=1g&{?aYP{rwcD>2}_4KwgwN3?qQ!@fN`GXeHdMqLg!# zz~%Iu`tCCOs7vmB(Ek=v7}z_hrrX=wX_{2;9PF*?DDjoq0GRKTQmROsah^gG#PD3a zS}P0rF@jq#Y%41O?szSYd|mJ4(w}udMk$L$_~orXB>@sac2!kDT>oq*hYwgMTw6Qm zs4|ATDvy;?QbH-=SXP7h4uV&{qMMU}=2uuBv$sbWSevuM=coqHAV4T1dEbR_eb>oN z!>p-(EfBD3GZd>q2+>Fw z$6>f#%94`a9G{JcvMfves*qdX2^$?f2n$!}hq%Ph3J2(gWG}b(f21%8AeUR-tK3d=+RltsaM4S%#&MZ8wb%RJu#I zK>rP$;d~dv-)OeFBF*V^vd(unP$I=s|FqyR*14Ub_u}jQ=_(ifI-Q!> z$tk4>L2z?(6TRcUupg?%{nYyaiAR$DOf;Due|m(>;?))fsHtgL$~>1x2IU z5!c^fxEY16bwtO!4;4wHqD|ZE2t0U~Bipvca9}6^Gd6)1>x0xPtD$O~DJ4>XG?OkvqfO`Bda0~0V>q`Z~CDVp%>)6T0 zovSx5i8uwyYOh>J*=~Ytq!pTcvdyyvnpm$a+>%dS?FTvMVaRr!ZQaNz+eER70F<&h zN}aPc`b*A<2f}oOa?UB`VaTplR2_FX8(XKx@h}2dO0m{X^Q5Xn9+Hg5!x8R_vrDp+ z(1}{vv#0bvDFEm$QiXrIU8a5ywtH^JL{ z_uY5gFVho_fxCnXL}VBS7A!KAjJYxpZ@XX4c^pS`nP6Qy59Bst!Z; z2u)%}0jfLBAa#Y*QsuQ+h2*QSwH6FnHApHPgRBF(g2-AJ1R;6z`qZsdgG+$~+*kGD zJ*I4}!3F<9DX8ZV)Ez|`PLTD_XrG-3Rh8W_akM`MLe*SL#R=lXSZU=&3bnbuiG~SW zcWNE$Ro)+=3CK!;a#|PHHyvbJiAQhRs|ise6_2I&hd7Sthg1XHAeYrsPe*kQ4eDH+ zGNqI_DDw+chGFm}Zd1{1nnf&HLrPhbiV6hDy)Z#Up+!p)!+fjf0NcK-Sa=&CIvx&6 zW|0Q1;s(i~kEWDIk@LJ9ZmQ|g`FxU;ZjLvqc=7DTG)?0$lv45lK<2WD$eXuk5&Y9X ze*@r)&u(MpFcNs;2Ld7SpYbePIX%CRubL79p!bQ7Hb&n4d;X-c1Zawqt;oMQ2zo1m z-~pO*wozH(E|k*PwX19$*kil(a87PauojV;68IB!X?HA*;;wbz9y~)ahKJ9|;*N zLTZwHfKIJ!&*N)c(4RrFeQci1D6_a6y}BAqk`%57UDa~naJ>H4K}>~p$p{tvA;DjQ zm+KE2FfyQ}2EcFday1$#x)~&OlaVDQitWe;)w^lGPpvfvRzOdG)Q%dg7y4SFUnJyS%N7yCw-%DtvzhIL zu2vd8#4#@lVCF`AzS|g-s_*O$Y2D!d5rRM_3vMhXKP}H3KtcUBeEc3jKW3H}F zq1j>pi%6=*#P%PP z&Cr0<=Dlqw0S9|II=8b&wA^eKGsi*9$}@aAlX}~Vs%>WWCbNA9Wy`T}1|^Qmz&-zD z^@bTwNYDY?+}zyX-zV}hYMBktCy!{xL^z+%$K%mj9yt4OIK<5l01G8%-3(U&ml|w- zJgbTzxfWpTZr?_k@iK_qb1ZBaojh(p3`E>-eDlpW4ScfFa?U{$b@r*5lRS|ugN4^dOF;cU0{Ta-gNPDta-ksYwrUTRafC|cdLgKt% z)vAhRDdRX;_GLK%n5H~U)A4wi=lOJ+Dy%9xq&$w}G|#G%By06Dsi7xh9$HYn@u1>l zV+<-tcd7bT@!$T@IFwZb&lxKL0_@&&hv}%8IE;=(2vZ4CRh-{I0cShnWkCJypgRg) zQ97{s(wpP|1md?l0lsVj?YD3?KoBHZ8LCwbwtnN7-mt!^#lV$qw^km;*$=VarzEJ( zMiG{2(OPFq2)-9*GB#Q~jO@jaD6Ng-<0@D~Op)XNT-@<}taKfM_vraj zX3oIJSzrEcjeX(bJU~Ft9*)~_z}uo@YZv(2sv@}rPp7~+CDI0WM{47@JO^6c3&Zg3RH$k+h{y8(}~rb0(^%uecZI{4(O$MBE;#Lb`$IFa|`25qnXBqFpt!XK0ASp4AFPyKvGI? z-@Y|HtMCzIoqF@;4S-j#USS({ntSxqN>2>HkCbA%f9i((P)S%kyr1K8Uw2QAEAJn9 zQpK{EYqPr791deylBSY9#O^u)oN}?JmlD6C3W>#GV_Fep{3FH)m>fF-0IdFQwm3Uv z-w7yd5qADo@j3trua#ikUWf5Wc~w?xz`R6@E%$2PAjv$%bRry7xG#l5R>7}90GQuT z)U$K_FxsW6;dNGAe(zTZ2zo)e>J7VE!-ok{5ta40ic+Fp$Iw1H)RnbEg31!C>P1Rb z#(fL|{ew8TP0NW#u`(f&pb)7<5hRh4)Te|FDbLjte^P~_h>C~>Fs>9fZ8WuPnw`k2 ze3W}vTUCnWyfU27obs|1BX&{Plv-4W>Z`OK<#n*E*itl$&w1oL%yYQr(3`6KBeyr> z>3k-4QUFj?WxJF7xH^-64v7(S^AkfT-g_H7-AGm8a8p(W6_M?I&NzneTwveep6lq_ z!}*&+(i)L^(|#`5?`&)S`1X4H1JiS_Sy|K)DM2iHU1N{{NTuv_{Uw{2|{KVboY1zyW zaW|bH4@-?Tuw8&8k6UcbHXoo?j$JQA-?24o2_{6gEbHzPd*tb(GXVXJ{L4%{GcG;< zxM_cb`)~j4w^#D3BUb>eJlB)`I*y}Vr~<+v35|QU=U@HmSMgP|Q^YgJo!~|Iq5l3a zB{rq%&lnaS*z?bS{xbkKH-~Y|?zkoc7)M!_`R3-Rig}&|>QYpb<679`difX%tbQ8V z&Xr0jrYx?A%W*X=2nof1hm}e?Cze*sxc%Fd`x8=;h+5@ZNE*dPDH4)?akEqrNn6P} zSpXVBMGmowVZbCQi8x%d?_!S@G0&FaJgz#ZVfxcqQl;kB2t}yR2p}m1?}50xSYreG z<_s7EBu+q4O{yhH(o{qf5Gnyd3Ams8&C#_Ulg{!vysu;}yN77)mm_1p1**euC3r95 z0z>Nk27w!AA+;1p>+{48XeVJU0SN#7i}?Jgg{v_YewjdPTEv;oHI%ZLW2ls}Is@hc zJpZJqYQZq@ZO9fRnNdew5p^~tndh^!D8>EI0?=umODRA5;<LEzBPOjyhJqPk_*wtmY!|^p3+B2KR930 z?@ga7#ZhAaF+~v()B7*x%>~e8fxZNJ80JM&3d1$qo2qU`KqCbtg$hViU=Bn#a9^rZ zQEQ9{OcrZyGVODLYsH|V(i%0u%RuvF2-!roj@mZ?se(^fQMttRfOV=CXwGijbU0#! zvC(-eDcPMZ!~oQa^A_&KNe0$Ua#~jWT3II9{<{uby&XwX3LhkjwNtec?xS&ZfC=!| z5DGz4S+4@NaR9>H*EPCqj6>C)Y2l)GR|$g}msAisxJ83qtCMF%PP#Q@m&j&Zp4R9J zNfJEF!ZI&8CkS%o-fIXp!(OU7b5>xUr<{kl3MtE?s%boEWviB) z2N#7_RuGV9H^bZeIgA~f`EWQ40P@ofz=x*>yI=Z=|7;$5pvI`T*XG|Xd^hcWsGWw7 zs+!;y+lY{iUjzB^{0V^AAYDeE@kt}uZ9sV=xM8>-ZyG>sKQ$q2W8-2@CYlr#84tjW z)+I3+NEOHaG%dSk2y|-$-Pk-Z&F}8+;$nmy{(xKnvG_j<4^{iX{fT`4^AJQgb<0~a z_r*U&V}hNCLQ>~$6)wo@t5y`g8XoX*rQbnZ6Y=vFY?8+p8T@A`AtM)h&6_eMy zR=m0(T0=73AYTPMbXav7V^Fm}pV(ieZ`z``vksLM0{7#oYb`aRS>?*2{OGtJNVQZEkpz?#F_dCT z@N`0p6PdJqq9MY(6xQn(1Hr;E8?=t*X4Pq_-4*}JWd2$oz0JD#p;$^0(NLaYzy1&@ zS^#9Xc2M$~WUVNr41=AHvXmlP?AGgW80$Tc-`=DoMb&&rs@g$oGuke>peT?5s5c2x zV?LNAB2@9>+2Q_S&O;WFd6`OCmSuv-|Ls>_K(_inPmI6^rUtEAVxY_$c=OPRS_7pu z?SXHM8^qb{y3uiVmd{XITCL(SeBFkTX`)Ns6d=b_#KfmD*Is@lvc&P~A^Q-{1N zHC3W%QI#TFz1WnJ7L^RUg2;Irjex~_8r_t6Ufh4{swrXfG^bP);u={ZNULpkDPE#zON<5D;?>vlJ#v4#v=l*Xjxa=3~f^qU#3<(cQ1F>Vj98-hg1Azu%~IZadC z30$J2`N(gucw}ZpDeg-&-fFzRzYnRu@gc!Nlu|e{aeNYY7d&2kVKUFNso5BFWmvf( zLQt<^a+*=lEsq!D$Tjk0U>=|$RFr%;9NxZt8`)yGRn^GeOwKp~xuPrM@@Uf&1MrmI zD>XNaO|m&}tJ=5PB-Jjk>RNC)mU^{Ibk}OJk-g99@+T(VYhot_@DKm+zra-z|3Cll z{{&zuMT>s@^>?t?y(yii36NnJfysOXoz9a5{awvi1?C%3AZFdG)o>Hl7f`kK^t%96 zT^&D)m`x<{T3V&FLbjx8B6YGBFs5Kd|MfeU@NOK|X#Gz@GNEm%A%R@|#<#bWYPd03 z|E&O&RF41`^E=$FWyF{|v=%L!dE(weQMBlKx-gmZLIIgOlT*#h&4l%*6c$-@H+bU{gZ$Vn7ZmW@%l zq%lDm zy%x=Dj*nqV9TAYz+&@9x0^+L}XByy=h9x;zlt&HxQ&=LHH(~Bvg__gjq+;X`|&2hRXGZ z0kqdkP)dU*QIdsMazxwG))%2uVgAQO zKhY9nQ^z3zIxh=Q?;Qlyd#O#ZBq{Eda>^n#euCH zdP3Qc=W}bj`IO!>1$e!bVRx@%l-9i5EwDEizTO@#r~i=uWI)d{+NSYW&Wk{M{AZLI z&wamG1BZp^LUQrGYIeg9k{L%kcUctdDcHozaU2Vo;YLSHL|wKvwZS$p8nzTZaInS; zhp`ZE-n=o~Z`lIkM}N8F(U(T_9_{CjaKHLdODUaBrzrXD+qXP4AWOe80 zEC`8xWy}u?E2Gk|6>gXu+451n1$mR+XZ}Bu^uz!>r4L9xvu)YzW>|AJ8Te1aQ#JLw zeEK6BRK@GMV(sUEI*X@2<7BQ_7Q313-Qnedh z<>FG6Ns@n7OgW|q+(1*eqF9m@D-x=7*mJ1siokJO#m|Oe)oceuJ!-F3Q_fJ*uT@9| zWcH1OyM6yD(q^P&Eu@uotuIk)lM44EfEoZb-##|}a9W`P!L=4X+o=3tV79151RHnJ zVrI$!Qc6Qk)raOPN;G7<9^$p*1prb`6(4&9Ws$J0SV_n&wIO78JMHwQI{ zy-#FzmPw;7ajhz1b;8;Y#c$ZtVCp`o#^=fA9h~emg#fYZo+MhF+o=;E4X_Xd8#a@M z!?cq$B{7{JLn`yMSl0kd(>xxMXqo0ECDBsy;V=v-r}V3zJyVrDWD&f6eLv3@7!HTy z7+rfx@1JB3WMgkPw#1p6Rm`|{o!eAeQ)yFI^QOVvS2ldvTI=@cxo>dv;!9#isFnAgcd@OUXQ^eHcikgQ)*0<^*ge_EX6v7^U7_&yiuGl9Vg0Pa0y*!`K zrn3}008^mpuk|h*G;ueTZU$Jg&fhYxD9&uCJ4@v}(bOPvGe%76PMWj%)z|<-|7`yd zgfdBg-0JXTE2SJfzM?AiY|~9K_=M)?B-Nb+Y}diTb-SHOU)8W z++wacr7BIV4nW1rah^_0VlH53JFWth!(oI1Ns>wVP1rA#0uV@*!}|sp+A|fWM#Uki zf=Di%l-V=Fq|%JkI$-1Ixb8q`&0}QCm7@5MTqI!Ljam7}^xy*x_t2lgeb@;^+d^Lmq@@%3NO8}= zG>lG#8SWLL#WN3jlP7Y_Nx!dKTZ4kYCSXE|0;x5Z*FdL9>(#2^|}oJ4u?bJ=k3ofOl^-aCkA#^ zcRc=Jmc+a1KmNzR*?s@FfBQ?Iw(j=!Hc-T8I0=SK>Ds&hlB$L(bL2YaGY$}NWWG0xle2(RH6{r^}tG#bPx|MUNMW{vuT~uc~ zNsLPg6`~cd*G44|0$?3o8y56h&ttf-TfIAxOPrCh{ny*H3L`73mOTlja~G@GKw$Sk zHQUVARdt6wDiCv~lL|B?^)R`WTaY**)Z$X5tq;DK4}hjDsue|RQozDDR{#t^l4-+- zaA<8)^s2gQjongJ#LoVrYxc4%rIb<;zE%OAtVficTWcHwJE^Pkj}2N9RLhfZs>6_$qIOH5(0N(LaY)|Ls#c~*)$wN;4};&8 zNGWBWOG<|V%=2>pa3|2?aR6`_u`D>B%_(>S@YPq}#)yCU$2D%r<`nOlVgSH@{?Grg z`~J^0?b=y^*3@-`9Us1v2j~%-kTkS!Kwmg~Ch(tq{-(4Z0&>nv7_otg%sepu<61(L ze!V&+fpIjCo60+6Q$oB<6fIcD)1|5I1cbf0xe57wPg^B{eSE@wv2X43K)SZ27-(h& zfQw}wfawqv;NWFKszixgi<;U!6G2tYO8EZ%zUf7yV$^)q{FErNn>8SL#5A~^J{YH< zN$C9>U!)h$x5h*FlkW&edjjD=NPz0jp(?+4C z!dZ1knYP!dUmJKNFKYs%NU4FDj2j^#mYMGYA}A)}_1l32ux?OA^+1U0w*r2|f8v{z z4BywIZT%Z>q#1%z!vc%E*xAfODGI71c40f zQ6VBpq|{G37Q!&GnA%D(Mx~&Xvhr1;T1-q|-wF#9^6rhM?K&I)O#N_=*Ipyl%WPxCsrkmqYwP?XKFT;?=@uH8vr}X_&Ozhr& zVgR_^?YD=R4QTGG=rQh<(zu-W+5ZFK?Sg6M6LyOY;K&%gX?#F82CoeoW}cz6>){2EhTWO-yEj=dcLk(n9pE9W!QcSp2W5cXxNp!*F$=p^T>T4M1!- zT(!E>Rdu&N=oD|ba3)vqIRX9q@#TTzA&&Ojh?w4vxF;e2x3{-_X?$xGBn|Z{&L7+n z-XkFC<3TdJ>4^b&N`F$iG{0|dZXKDy|LuX=jx!m*K=o=RyN;~dSX5LGm*m$t45mse%OX|%#`qS~^-q!@ zBFRIZRghmfKmcZU3%FxbG4gQCfgr&~c+LN+DoPS@v42sfkq?cC+X3&L$CW*m%~xW+}<^`zsx^-nDqp=ybd} z%=3~{T9z4DPNyYFx|ec3L7%_$UesaDc~n)^CxhS*OYg+im%#d!p8{WU74g77MG4xO z4P0q(&tUY`^*lg>hMVg8CdJFRe_)Yw1BIh5WumVoLe&YyTii5R)m>bS*N+ zl}n)irsejN$^J#;bUN8j7M?6}hFOA9)fli)AL8bfQeM7%2{$TeXu_25iT0?{69e#+ zK4K!A_n!G5FS{I@XZ>^i0glpul~`Hq>IoHADDZGSPp^sRG@~97uC|xlzGdythFe zp$kN-q`q(SKK#FWDfavTp-v249i+p?`hC> z0D2|2GpvZBE*&@5x>0W^3kAXspEivWd^C@#WWN7{s|nqn-s+eCjea#F80Exs&e<+2 z_)0m5Y!9q8)ZZ=aCd(W{#tpDS#&HanN1+H5C7UgEs2MktA?y>HUfZvwl$)EIOAY&} zq$dX8DZN*^bYN_-AT8A6(bk5onN9fdriA`5_*85_AWop_99z@o`CEsium{s~NJt{d zB)&^opcU>;(^QIz$iwM;JRED}D0i=!(y)}0az-goHNXF&Vm|&ANVcUWXwf9*H`L|D zc0{29$BN_?3MoJ;4*eC5bZgp(z@3dSl;*ldknnjF_)#Q@-tX; zRXL-f6}+zujrhdaNUXhnWgQv&(a~p>=LZHb1^tbXdhKrfSLu{hpg4z7h5i0zmG_sT zC`>RLio6U#TPJKuT#@G^GSlQwS;r&tJSqDc#?_PHA|!KQD7p8Ledi zY>5B~)gcp&_*1%^cK6;(o9&gKILQUcbU?sBncIo_ZrOk2Y;b?yyr$&lNa`Uz9JTM3 z!;U_=@TS0q6X4R~#sKc{z7f&~O{}PJ*V7bbI{K!yayp%ur1l{@%n59*s^-}a2T7x^PzaSU(?lz z00>;j`FsxkfhU8}GyFb9nUTRwP+(6pFhH4PA1+HVKK^#^VtBqgEl2RU|o{QPfdkIkGUY=m=vY@Dr<2cWY zadXR3h9T#i@9*B`JUpCE&!3HTnJ44`v6+0uaPjl!d0mKv>e-8%dUSRcj% zVelGxm>?_>$Cm#I!viH=Zg*~k@Lt{6H!5P0f7BSo>h{9HJ~59VJP-~28+aYcDsa5jh@@O}%l=!qugerfE7Jj}3X7_B{Ud!~i^{kCfUq&@YO|%pa@9 z&I^$UN@Y7;ZTY!ODP^TS+QR!*$mLuAJk2604+BaO$9(F#;0n|AFkV7dP>L$-H#=SB zo!3AZ18ETv7w}h<)@(y&PT-!14CDqzwOGX!_1Olxg7=6ZxuSO$B-j7d?iTSV#D;kl z3WPhN;)*T?MB@~X<^i>Jn;(KzFp0QV?u{pW5cJt%236G{jk6_j8&HX5*19g|Hj{{z z&oPpipBz9_PFRWxGLouRcS@@r8ysvqU5Xtus2cF8y4PI!46PxwYR5&)ji-;S*vv7; zjSu5!pqMXzYfbH@MEK7=4 zPG=EOEl|lh+b~#-K7p_-OG?!(QmXQ~p-!IaHn)~I4A~yO`R1#6UT$ul3*>n796+iO zJsVE)DSe;RK*?ReeI@ZHjF5PiHh-eq`5VlAshzz!=B1oX6-@*9C$@HN`qf}%c9+={ zqON7m?PpvYgzCN7U~dQ-?IZ35mlLT`QWx@R6YePkh^t!wN6t5I-k2~u7!2L|`Dtj< zVCeX>f2oAytw2_(2L;)UD~ny+-w#~#Q|wT|z(fbd-6+Kk36E4m%uosvV%UV3v>@8) zbh5As<2b%}@dDkHrKfZ;tXd>xZfwk7E*9 z7DYHoNl^3e?s9B{F;#OKNmYxQmmu@o?gK7~`k4Egol(n&!F`{P$3ZKCL4l*8yh2peBnv$+{e#b-}#j|I}oYUu@KS$_y>N$ywa!}QI4!g{% z%27&D=*{t94iH69L#FB~-6?$fRt0zzF&-hAJI9%3GB8#b_h-8Qel9qz9 zZj?|d2E*V=8&HIrdEH1;1@}Pck|L#)lcWq0B-iZ`htwhvsR}b9Dpf_wEs4!v4&X?g zB>EMtu5T(IRQF#i$9{-mfrIt+Mf7OPHmo-Q0Wh#KQMzqUa0u4&>Y8bRMgD^O2m)~+ z>m;$(nl#=fsQtBB+z1qj>Pb@o*vtXC#huZT#JtYV&^04WMB#ZJSbn#@6x zU*bshOuJIU+8}}?$-D{Gix@{WYp3eSs+xY&kVtn6DP^;PUag$9RK8U<_8CQsE;09YhE_+t|_Dke@zt);EM-_ee7R9RMkUi1bbHm@f<`h zp3teI1Xynx)^jyV2`(Cs8k<76SfO~j(WIR7;czhJ_{O!Rb@TP>*WtDwWTg;&*{wHT z_M_9#pOyZDhCC3xx)gug6N>LTxNVKKw7rZyffR>hGynGs`SJFJf)}fK}kckLko~F&uf4~i>+?Y%d!kZw(WFC zI8Te1@U=?hRjLhu3#dcy$9agH#mn^bK%uB_>W4*(XwE6(umUJ$WnY=tnNRU$0{JItt@tcz>%y%Z&ik!c z)yl`fE?7hiyPMHO^%j+CkX{WTubVX^=EhRyoJT~bspuj_ zOGyF?s|PsuwwX=}zh{ZRuZf4B()UX}JmsGl%YIOqjNAApC8Z1O-A?c)k%!+XakI_) zrnIJt$iU#6QDdVkALX#}Ph;xJ_5<8nra)75-y;hM(6^I`7PWBb007IfnAxjg+}qn* zV+>63#!7zs_N~dV*$O#s02+H=?VOx8l-#`>z}A%~mlIbOfv5Yy;%@fT;|xq9{?&-U zeQ7|yISY#J&;cjh@^Ku^muO=N%@0ASD{JTRq$dX8Dg8)kZ&5$qsw@f=HQQWOges1MJQwX$-$8-< zwOXmdR9rM^s@D{Da00-xV5v+%_2E)?G_n;7H3;#rFG3C=~>e^hm& zl_a$rx&R3%!;k>;)M4Ulx7e-c8FLie3^-f|9VpvV!P^=443eanywI9f{FX@7>_cjN zuzFun3lHE;{nGV?nSa|LOJzQtb2DMNO(HC%435B@D%QPH<1mOoq%0PWfUNN{FP z+01jmc(7mv@va&BY10z}@RUAcB0l)hE`fKZitJSpQg)X#LsccEvP`yFl%gK3y#VPv zFGwk8ndf<$re!fRS+k1`&G9PS4(w_OH(B7-s>`op7X}^`Sc|SWM*&k?w-<^eDU?DC z?Tesj^*_`IV*r@T$W=s*DAiv`?0zfIOj7M~LkR71d9AK%sv)f@b%#Kxp9&jR!Ofu8 z_cf#dWhR6zn^GEdEmF~`vkGyruHQIwVtfYOQ=mHj)U+(6as;}zev1dh=gL~RZf`c6 z_b@tF-V&=@pW2uRr?qGdQ!T-Oa85}@OR>|d8k4w5Ky@MI!&+<90yTHFK5yerz<3=% zYH&J(-l1@o0GRVr5h^g}q(G?`_r;h#v&JZDkunE}0v7oz3AB_YrIfRnsl14kMe`7m zgA*V*B`pORP%ZPKbqWTvM~vY*g)YhdZB%};yUwRh??nIa+|U^@H(;)ZO^o=t3Wl&B z+6IP+ocTJJ5-&qhgc}@rSe2ZckvxD@u`j3_ecwzva(nm?YrvMPubwhld%fONg zzkw?IuiAU3(hSpD`JVx@t)+7HhVxG##rwbR`b& z`xWEzyEt8}dFtZ&3iVh2K(0$;Hxfxul*1`Rb-EQYc^kCKzp-{CMC?w8;6SK-E{|WC z3WcgJ#W+C7fMwal#1R)kRosv;8w7zShQ+R&KsCP05F@u31$DabT{G?l?4 zj@8;F&C8OrwLws$3;Dzb%pO?8*x4dt4*pBgB}+~@CjwHXETtglp_FA9hLjSJ&Zh@0 zORh|&)X5`7M27Jo7^mqj2Hh45UsCz$?p)PVdcV|Qx~Q#YbDHK7K=S~7*7 zXj0Dkcs#1=-Q8VSEr%HZ-)zWMcVGRsgpPxKE|IajZaJ$cS&6&j5Bt9N1c{P^m~qb# z8AAL2a5zL`;@{XsS@s{lHa90Cl0CthL#x;P1(}M`!@~odb+KT>R?gvY*rn2ANKXvF zQ~KEHr+fPHS-27QVdYa~8$Rd(cN@*}*jYUqa8)%Z00?h%{KDTQ7 zRB^co><%$}{+LT3tQpQHA%>^Hha4=O1w&h1)2@TN1h?W)+`UlT9TJMW7uN#C-MzSb zaCdiiEl{jbptu%2d7tn6h3vgoX3gAlU8EA#)hccI) zuQEBOqihW^kD)`oSo}GY+Xf zt-kfE{=TC51hc>v=g4&{*M!vhWt;oEUDQVNm-EN77N?o@rW@2UAi}+6(M*a1*$zC< zriHK=kq8mGA4RWAODQ%c>69SccUQ}bPm-t>ZqH0RK7|7M`l}r1`vNlGH`~OlburD%}Bee=T|E%RG0(1B~2;T1@&^q0@Y)_d=^?kZlxlAlhvmJb8b#-aNc}|~> zT#vRGD=6f)__mAxfQMtDky_^f$ zA-dS&Q#TsW6*_b{5a%r2QIxCeL}jr)xPU;$UBp_y)X?B4J=wPt9=T2jm_L4*9PyJ) zAO+9AX3I^d_cdc`so4RH^OT9=F<=M(Q4EX*lK^piE=Q`F8gdZY!dLU9uOlBYE$gY* zz%Q@;Bg&_VwEsp0aDmfBE2D@N^Q%_-HL_dG!cyxPu=hReMhqW3strP_NKn9#KZ(hY zHx-#|(PXZ(wfMtl$VCuVd z?XH!YQUE>nn_09THGUksk%V12b?F?o8#d9QF*2R1jQ}0}AG6nITFP!=j&bz&(J%fb z`J;~cl)M<+`bReJq`h3u&^s%_&JcKREIJ`nIglIITUllzlE$^FY9Gq9KRP7 zp&vEiL*V!-KWir3@_+R^UPa&p?>Zm8PrcUrDOG_w4Ec;JWu1+#2F|jk!apY>V^0Kk zp9ZYmD~o8ky9q}zTvT~A-pT!>B(bE^>#DKv2e~7_3b`G29t8n2EtWx^cW}NX-wwsl zDAi*bm%(k%8$VtkEWaKQrwVaXjB+i+T86Gwa=9%s!kZbZ4s%#bpEXG?`r{g!4mkeg zL*T-WONQGfsFAUhAc1=%$ez>=cbAcrG} z0YMv5!j0O}D-k}(#v86pz+1Lmx0|QKuo?5pv>Fd!L1~7$abtpblwuBAe=bjIE4?lv zguE7OV!76qk+1L@SBiItkZ**BUD%n!z118XUzsl9XeU57hWR+0tkf!VpAgqJVx&nn zc-?{+zN`jsl|!xY30I@FF*9e~FwV*T{6ca+riv!R5Wv& zqV?5t^`aM7>YbX<%eirk1lc&?OLxE4O|0beMYMl1@T@!(ZD+VzGH<~QJ4t!{y3|-Z z)edo%75?)mUlKn9csXFWrYRfsNdJIIamfF)yZaWr{r=qh{uVsJPS^Vhw*)K4vG?V- z5&y3Z@6UOsY%MI4|AhO8$x9P_Kj(ot(F;+>U2>Iu7O0EULu5udNx2jmS%WMXD@aU# zSoAkk>E)oMp3O#WZ&CvS+6k^PwgNg~tb^O`XhvSa9QvX9%~X08TD)mo9ND8n63ri+ zK2zN*qofv`;LyLk+YtkZk_f^tG0aNfwN0KhPiMtZ)mf*XoRo<%JVp%qtCRw9;isN3*No)-+7r8j5FjvcyD$_((h4xu{*cO|atgnpCBPNTMT(9^5M?o_Kd z_WA?SPZ6DyJiQtEEF@GN_5z|EcWPc~5VO-@j<~&kXNSnQT`O6kl`u-A3*C zZr0O8v+ws~>w9s(eM}#l?{z`>f2}gztN~=~{v^K95?4o@O#?QXu zs9#?~PPBh{j5A%v`Ko}GM<6p^@aL*tBIzRh+8-JE?zgGBuZfWBy6*>!IK{SvkT)jk z1{}bx&5XX?)gL^ba6+57l+fASr^!>R_x!mLoqmKhtQ>-cZEMf+)k6v1L1Kgm%}j(1 z;g7Z@gf9tjuPHbRoQ>vYH!;~fv>v`mv{%(p%Ta1s6{c_bxk$T7ZTTF=1=5-d<=%F5 zWuRjz3^v_T3qCVL2HKB0JV#X)^5+6_?&{O{r$1TMl5RjlwK}ws1e_Q`MSUElv?xRq z8cuOAaX^ro7+{MiRJeqKg%fe_2+Q% zL!k%Ru_Eb5UIoR)f`ckisQ-G*&GyPmsN}eLVEWq$S6-c#2H{Ai0z|@L0_qt$cq1JG zKK~&XlY1{CHVwWjogOZ7^6?=ht~waO*(posZ& zB%}7H%xanDQHI(gxjA6l+67B#p>%8{kkK3BVkMDHjf>`@SUAk|ol2iYFV!vG*jJ~O z2W0_>Ay(?0YN&jJjusLqokb(QzB*lsfpi^xsfyXmSd42sgkZ)tPYr01fUfn;)AB;v#vi)0|zRgBtH2m9J8+F0O>Os z)J_AGEEsTiXXmM+Pso4epK672=SNLDF+nRa=wv6S)OiX@5#v!>TyF`^Ze$vn-^`-D ziP)nHnQCB(-cs4H1W8|(>YFJ^D~was)+C)yphS>Z@`*#h1rQuoU&t8mJYArmoIkrwwd^V;t~J`kfP8wcDYKbD7JY6vU$aJGA-UTNHxut`*A;bW75UyOAY8RI^+OIrF1kOsFmV3WM&$mWBbsBU_X%u*%oq1-ih-FuGE1HA{e{V^EA|D* zF~e{ERYCRzI`HfO#w5Ix4N8mVCidxqyZ-i$k;cgL9Egk4*gUS|d#k18ln8m+ zC;Y4|#c8aSeZ3GpO>Odh)R4C3wq%soyqTFlUlgQ#F6~@Uh7!#5Qnr|n z>W-+o_hJ$Uy<11m3f&n_ug@@8>KRzZ`vT=_)L^I&tGZDrT}^{93?MHDezVF-iZU+*ZYl zx&Hd)G!@Nd0-IR*=}*f#IAao=4S-R=VYFTP3a(7vnBI472awboJrq?Te9LlVwO3?gsP41 z-pX;;_B%A}23^?N(-omMjS}&H*{7Ih5y1NeWqxv?FY*w3nw07N=}@w)y|~YBX1r+5UB?0D^$fZh{0}OD%Whl;T7j8U|@hgzN6?qsinj-Yu(Jlo$d6KH)STt9yAg|?G(x}Pe!SwI zP&)V4^KpjUI~~bWowinYT94waeF$P8)3>ddxbJC4%IYth(`|#@(}JH<2~GQ3xIBte zDOswUsSWsZ$0s?oY03s6jauHsavy>dzDbm1bPrx3?TZw5-prQ*73LZeW+r;T|%5?Ar zEkf%>bTk$;DAjH(n8v(duyd8dVW`Q*pP|q#RpqqH*Sw(TEF5n`F5B13p(c;jq)izW_xNq7t8}InmuiqQGwsgL^pM$ zq2xm7OF&=G$MXDi_Z0voyXBT1zrDRhv-do9_C9|ygM;e-1d#(Gpy&u_6#$hALm<05 z0y4qGJN%nybjoGl{?jK|=+^(u7@VD(jum$_6Pa}t5FTEUlWajm?hgwE8)*GE)55YC*<^1`hSW)& zef0b7O&A@_TA1REQpZy8N};Fiyl$TeU-3jbSIFk@P*l#aQU_pzMfq1%=}1~N>6I!` zQeD0&^!xf4)qL2w6}}GDIcYoyjH^|`2t+C#l0=~_w2URz$6(sV1G#lwQ){oIIH~5u z9;==OJdk|ogS==)W3ww@g!^Q(e^GHh_GGP7>mHFnXhRwbtW8&i;>x*D49jlJjLEG^ zTEE!&4*}J7Yw6`}UknG8zdZy!sDVQj2Dp57ta?AVRP;p1sf>ru!FJQJ_8A}PykL=> zw0!o;kD@&xn7E5sDjcQ{7=PQ(r#+)*J-m@^7Na|YFZR+AUTH3TQckj9Y|*x4-4_T; zqm^$+DRF5w#dLxJGN8}*ne=%KfN(wcqVg7GRnsUR@0y}R%vDV%9heIJZ

r#ld1=Jy~hYe<6B#h80H8$6Nt9}nM&Cr)GXmEK=$@_@xHCnttLY<%K6sA)W7 zU%(snzMVJD8p0L|k(R5V9Np}VBrwOwgcPy_R2lhE0VLmOGD`Cn|U}F19ytx6?KMm zXetb2vN;TM07(tetkO6`198Lf;`XU2sjggAnyApthMA;frJJto*#rxr*(8@Fc!uIO zgzyZCbd^Me_VQyVqTNaXXuE4cRzZXy9NHbQv1__Q!tJb1Ypz~aeN

g%bCQk_ck0LTB#Hz%}r;N8&#Jgh`3G*-BQIH__SB5`lM%BH8x0%iGo$C;L(z;9rx)dL_#0vf4} zmKoGuJpGB7N@Ot6DWvuc+T?k2GZwPW_~Cf~KC-+Bm@oq~G6BkRY@!U`qSwDN7=PLh@%=$Q8W>*qlvl>B$( zJEg+epq$zzt7>K!Qi|8PWwxV6>F3aplNJfbnn*YwRB-SnBEF_! zA(oo#%|0LFVwpX(w-YaurY<^~5pG8SjvC_M^07b72vgg7jH;92=MtxchlJ zZlxb;Gb9O~-W}TFHF1@wES|u~!^5@VCShF>@w>FPw(nwL5&dEy44&*eE5IsGbn71r zj^$pd!4%gDyYtal(gNvZPx7Q%0=Au;^%j<<4vNr8E6z;Ci9)>(Vq*YC2FOu`4-s1% zdVTF`i32D#@h3?f$qQf@Y5)>K0j)`z#0eMI01Q36eQ4oLn)Lx*Af8TKPyUB#vJ6sq zKczVb9-@Io>gSzBp8xo8I{@J4u_jj$0vqfMLiD8kDryH4A;P>-90OrE`8Ju5m`0+* zFI7J^@AvDj#%ZJ7jV{y~Sf1s*zZ^w=4D~+(E{#y`=W691Tlh8Sm8u6ILAZ!3>h(_ zp1~uE9rW&lRnhydh8cAIt><$7MYfuOS;^yK?_Ny2R_kF3{e>Wo3&Pjw)Q%V$RoCv* zyxQsUHKNZ4aJwa)1GT6(4;`~-KOsRGp|5drk{7XyirN~&ri|?7Zo#N{M>1IPk}hFp z61cYri7}0McHC3=VbnXN-_zo&wKGDbK!%vnl>KH{j1V)o3=!V?gy1L9Z@p8!A)L(f zZ!@IRXmjAZ7c$BKG6XkI|N>fH1|(a(apd`5|6usnqiZrThAvCb>BDgZy?cKR&awpuz?K6(#Hl-0L4ablqp(n@k+VJmw)nD2` z&}T@0?XM|d>$YNi{v8Jr+xL-c_Vwl4@_p+5RO{TU?lO$stTX!4HR<6}ISp*Q>fs1( zF?;@fM{t1t*`xH~g`hx{jn0{nJPhk*sap@{DLPk`6{5FzpyB2pJB`!*Nw ztkSrmnDfb{8R7W*`{Vb3yDDR#^jMnMK113Q$3yf71~4w_elMYXJb`_6Nf;Ed!{(j6 zNzwy81n2@qxTK71TA_=dORMs$eLERCR32@RayizEGrMl4zGO}8yCbZbpVUG*OupZB zzb#?*-JLBxiA2MH*3??C;Ar=}SOqjFpQ~xIJ*2O9pq+u1{qilJ(Yvf(^7gw!+bax( zLK*WcQ^&0D71fPXz`wQfh2H^hZc7;Q?n~$(tQ;D`1)r`%If?yAq8#W&^9IN7lndF4 zv;)PaYtOVxjBk>MzTctYXN2`T|!@aMq&EZ$V6f$ zQcCZU2V{nsmJG==M?7FLNH^k#sN!zG5~lWOD8lx(09HkaA=t|7NcO0E3VN~bBe8w| zjbL*<`sKa=FV1}GQbLt3##g+#a8}zI!#l$QVqE_}*Dilp3~0UIp4@VUoxbII|N7jX zzDn_=BOv-inR<$~rPV7xswEL%?v~5X%^prbv=~$~kcz5`dKz?vmXNQn45td1+^yRo z&zdEoG`UP!gK81^bIUa@ycX3+sYJ>p(uI#j*sv4|oPr07;i`A{K*(kl76cV)d;uix zs~(}gHcrzIrf`>{$gf0>tTVAq*5PJ;Q0Z~}Dlgj9o$>oj3>0R!#?`-*Z=2hcPW+MP z3viuueh9;p7E4%>z#nZ#Fd#42ULX2;vD(}M4!Cd3`|$UhmDrW~Tt3xjaf+Tgw9k>- zIFENFfbGKIa|d!>jOVBvV8c-S1m!%t-dw+Au$peV2`bTL0~Nu3@XAD^uJViXM%*~p{Plq|4OEB|x-Sbhi(*G{=65SBB4``5D z`~at4zvJA^zZq~Eead~X|5o>^q>CYR?3R-A_5C{bPbc08?I8fqzQsbis3_OwI1Fgpc;KS z)+WZVNZZ*O@9OLlUvb6QK7J92kF55C%lq_pay5bD)YPoOLPd=!O6KyH%9T*BXsnpvoVVX9Jt8tu)VX~@dB7>`sq-@M=A80$EhV{Y*4yEz^S4L9sW+%3Pw?IC)byK{b|^K4O~dSfLlqe z7`ON(V;CLgP7 z6V%EUQC??!y9-t3r~3R~uLY^?e(3rWhKYG&Eu7a1{`a4cD2{y-;&BG(#&{jq>)^KW zV+MhUINcXOovK=!3B4$z&EKo|V7U9gZ4{8nz%3FB z+65NI@4qs8#}_A#E&l;;8^Y_=P2Rg;C{zVfy}1#z;Te81sY$(VkKr2trnCi;O>7ZE zAEf{XjG8Qi>a0B7g6#7ilGy1ND^Bv6BnG_!6sCMyo6^3-OWzE zDvQYmA{`$jkaV6|myEBvl4g3jL9s`lfwr7_Hq!D(F%0^6PqJrqHW7ODF?I_{F{iwU z*PRQ}awe|akTCHNbF);Mj;wtl2SO;D^PbPTanhg?onmk~YCBSW+W?hc zEtZg;`pSw`yxJ>~weAK6%5Ae+UNyPrTk64tF#DsHS011x56&FrwU!mfyjXIl???ro zP~n?k07ZA_6AFVj@57 zeE4;=+y@lR3_cKez{CN3iPDCPYw?;kcD5)jmnVh3adttO6AUyp<1Ef9yqvmkC#Byb zyOrtk^CL3bDBXMQ$4YGj2cM1(7;`hIC7iln?*Tt5@j5gxBlg<#M!5Re-YbB!sY(C5 zzrPQNrGdsykQ2}$|Jmx!^FllexH(kf{I>{TTmYq`J&Y23p(QT$^M3{Pmwq;`|1x`2 zg@pQS3Bv{uKaBfAnWZ1htzHW*enFrY2Xy*HMOQ#iAc1JYVIB*VS_d`gCPSJrpUgvH zC`xtlfr7h<3yr}wKG!G>Dk!8oZ70`Hm`S<5CW4CF-fh&oC-P7X@DbTBjxGNz`_ z?kSbw)&YXaZ3@s1RhfsWb|oBnME>B(d#!H{427&a)x{==bGXDQ`FAZVSGjY+VVqft z6DZwYG9!|GNLL3B7ltBK<0rO$< z=>Fe598UWzV8+LR!bS-JxKw8K%UfH2HuO;dG`CF|M$dn2X}#;RCtwdu0NEb0$mSCk z=2>wUM|{5`dy`PG&u#t2#Xt|O=xW4T{lPh|o#wfFS;u%#1&#fU&5 z^7ubF8GsG$0F-{Wcu+BHonmO+uNO`RI#U0N?Wr-j2S!f|#y3Zt*eza(qE_L9wO*f| zp2}b`f#nhq+1gDc4%K?b>P6J?6BNFEJ+qPK?&V1|O(zRQSprr}nn$b>AVvpVEplu# zTxhgN!D4!5Jj`LryL|c&>imj~n`}_3FgbyZ?`l7hI5KP6^z0u5*xg1%{b+=XY98U8 z&9bjJ1?IS<5dsQ-b9HPy{mz(})xKm!G_xNTp83fKeJi-AVLZ%ri5c-l6&o_W6~uVv zN>zL9K%2MXK`UG0#dt~-AH2x_o6bF~q1J=hCOtFsaC$ARv&H+(+s(7YrK{;oC!OQI z;AnIAI!ACgz$Jnx76}L~-et?$vZ+atqYXS%0F9@asxI)DgjZ3fhZOc9N>%BjA$Z^E zWX(Bq*mqoGxqy#!ASsOO$}zj$Rm8p%)o3AgOi#YrJz}Q*MF#lM?u%6>HcIS`bCY3|;! zfgTZpSxKd*9z@tanAPBd0{*wZRf&b7y=X1g>3yu| z;9A^BEI3>8&D#F8!iARcwG(08y}{t^Cq1Kl!jBg4Pf!PZGKK0K7a*2ov-r+VN@*^{b4dwb@FS&QPbt@BWKsnUX&Eu@=9!(e~{3} zy}m>+TAy8P@gCxqW2qJE_&Ts6xQ_IZtTzC?xGric25=fOn0!QNw?E#L>w%1#8& z#FnMk+j*xvnzi3QQZIQHN%WNR|9KikzZEml$gcaGF(Nem&MaV}^rT?cGghj`3HNSb zQG(zURWdRo@D$7a1p}(u$0YQfY0fxS1I&;k=lBY}MD5QJb%szn$lRn=zgx}!n(sa+s62q{ zKX|abF|@}XwiRj&%;$cdeNwj;GVJYuU4gQeC`a0l`{F<85D<_T7`RB)siS}a?aBS_ql$?5q4d984^v!oM{4J6 zTBTymD`IgVED9*NpZ$d2fpdfTn}Cm?KEzdFV8{6pa9H+@3{N(`e~SQsD}e2&Vr(JfW2a1uL-(s;A}P96GMUhTHGO;c@P>aFUED_& z*=6Blq6-c0Kg!<=cHG41QP+w5!VyX^ge)1FCwlgMWCHWzd}b?HvYG{X`^R&4Ni+u@ zfBZ~n!Mwux+98?rTsskf%@%FmA*uwoTx$cdcs270)8M1;AgjsjPqXmO8%4##3;>jZ zqpd6Qoe+2YZyFL8dsKCyO+)Iq1~+d_z|KzetM5Pta*@5uUxJco+&Hr=idq(7zCG9S7tTYVlghx zXgB)2P#a?@!s^;~q%Y7ANu};0xPRH25WZNT!$4{S1fc8RJ10Ar`$EIu+tEVbTfs3t zdRu}^y!vj3LoV~XtSjov#Nn%M8>y|77BC-kSinTRumc1Vbr&rz9}%~4mi_f0<-!|2 zPbap@HO#eK!XhHZ%=mo8fYg2Am;trNna{9Bo9$ZcoTXZBTWVxxZJ)?wv~%|2ToE%2 zQ~nt6MFkxG{Zn7;9iW}MaVl?3?nQ)1iBdrv*^!!Mp{p}(KROlaDFf-K_*-?k?TCRU z_e6l*Fn_}l>I{sRZ7%^m9mAZ*zvh+?7=M2KW9_WX`62hn8V1i#x*?K32|SrVa7e9UJI`u6+7+T?=~0Qfi%4&z>8HTig7R_}V8@=X5OWt+ zLcSqRW~z&hcc)Aw-rLVF5WWhKB69S(QRzdOU~gc0G!D^d1{qsZ>YzsxQKbP#<&FbQ zJ5VvqGRF) znHY^K_b}t*Q|S3D8bq0b1)iCuX0y?v#?@J#+L!mn34>(rH3PS$uG)8R{5n{V@2B$X z=7@_e;3hgpZ17sRY5`@_&JOGs#-HDD7TLN+`4`p%crTi}*7={>9T}c>qd_#`$}`Ig ztNgZM92Ygmk;@aMPwtUXa?5_2ZOZBKTDylRy~GnCy`|TrsX%2a_Q~)4-`1bkovw#X zP8S{ZQA^n|?Uw*QKfzCNfQ;@G0*ouxF79`CgUJ?Mi;^?LES8lf^W|jWypo#1C^5ei zEKb><0wF}Y3y&&$)!Bp=JRYDT!+Gy!eG2QL6cbgpMSQDc2VpO!K=Iqew345)T^l=K$f6ibH)Fxx&q}%}Q z6{Ow2!19~zwxE^1ymrGhe>bg$M`rHa4&YXV7F zXUsK$0WLA1Q&MW2t`cyz@&p{y9sQ1*o$aly2+)FU4gUd6Fo!-mgfMzzBEra$98iYC zrf>qEzY~j)7nqVl(x7rn4+cOIK9uP2uy$>4YXQ%0vmt!)MI1xu&_zh8F!# zqf<+Y?p$}b(Q@BPjrAUS%x|J8wL#)%>(7)E_TvLjQ+vOfk0@AbKk5i6gnR#l@Mhs5XfC0@ zqk@Jq`gc|xVLVgO7DbfO;NOaa+7{dK{&2ynve%Iqkb!4duO%5CwjLSm8|OeZaJaAKs_Tu3%vYiYhJhFyVF z))IW_owbZH`~p_5u18;uz^(5fJR3T5b-mHZ?$2w|VF*afmxSQjj}h=71P zC&pr&T`~a0rG&vgLnSLsaFmw`)i@*7yh`uMLp0*~6la4{>$=+l9?i_3!o>roH)&D& zzz!WT``ejOI}{a;CpnD!?hddV`1;HBKwfsnDqmBKo=!hv9zg z_gECRY(MKlbJ)^a+u^#ww2&#!(uW$23tWWgzQ~xe z=xXO&wl=VSn$s&5k*fdWWz7N|iZh?Njj)a*zP4pxQdLgW$#yMti z^t$=FVEpMQJJ1qG%Q{i-dw6Kx)w{M?4MYg~OR*!z7*s~+V391-5TX+d$*<|Vzk#d7 zlWKB$vY&JoHJ+eBgAfs$4&s2qvs$lajx~@$PQWayh$=3r;a>CtNBcaL~+uA z+bJrVdc~gFq@?xb&e_Z~fyF8+Dr!uQ2R-?Ua>qkxiC<{_vjGL9JFxF-oncy4T?t4H zK4=~VH-Xn;VqyT`GF)~rirF8aaHT%9Y(2kEPR6;*84Q83_auq7n!63R!n{QVct*!$ z)A++I*U;L6k2KAJ`#i0p>Cv&)ugE{8M{s2{gUTkOY2%i% zidZUQ9AA&s4``aqy-oHJ`Htv7=&1x-2Jnr`Tcol79`^8%gPyACR{>0<^j6ZZ@ zF$c7apqnIke8w(MGdHCVBr=y|V)p1*BRcu@e@t;{e;JN>8NI7x+ISwJ88Jv%T3-;k zH67dZyVZH{c6!UY*0VbhcEL$XmYf?7_1{oI_jk3cz`%PDU7LBT4DXwg2<)(D;hRiV z*4co7px*o_^}Gg}5fn>>6h^a?y%09&JUA&5lyESK>VMG$ya2I*s`* zQu+#|I8n50vgwfRa)^{cd(_A4)6BO1gsc_VoYZCdGv@j-V;rt1$u)}@UM`l^2FF>+ zVOIlgfeVZ5lTSlHN$_EH6v}xI3Jxy*$D~!8R%K$$mZ|K~)RY3xVuGfJm8Xx7z^6E1 z#p@?5!pGOU#g^<+Wz&d>?W2g0bv4;thxkj@*Xf$%E;>e40(^n^$Lqnh26 zZ|wJm@YFA<1K@v6oDLL)+0 zTqJ%Tnoc7D;_Xt~X(GsmTc^qH2MKR2dEi)-Tb8#4o`w(!J+ZC}nlSV^FiBSlFnu+t zE9uy7{$gK*ct_MuC8t7u7X6d&vcR5lJ%)dI6xj>c6z=c78&cET6FXrCW-k0q|wZJ6hfh$#_Zm@Xt-I7qUxI=@e@@1kLQEv zCBT@{lQhnpI4$)yODk1G4Djfb2Oa=KAt_kruU`=@+E*L^ccHcxo@5PUuSYi315E1& za_G9Zlamv(dSG4^zVZqLE*bFx5aRHh@ePj;!oXJou=DzP$!UY?`z;bA%;{!*k=g7;Z)}&vV#i=-x#1Yv_E9XG`&vSr{0rLsa#REitxEADS zlrdjsLcqM&tY32pOwkX(^9B(v_c3aB~q&WoB&>w~UHF_6M z3B87|3lp&U8PJwB2Ewcz(auWCT5+8}eK^0HJ(_Ol?eypgAG6lex}9uX-7Pk@zIEY# zctr?mG(~vEAe>%G@5($wR<}tFsM3hxTex^JOsb}K5#f%WP<^o5(C6Q2SDz<}dv7%> zo{}m9yLc>~ByzqyjkzjNrMuk5H_PYW2p>i0XQuEC9rL1%(=tv)W-z-c9$GU!TW>6C zl441D&2UXxb7InuWiR=cL~&P60RsFhXI_ZEi>C!N)j_yQKwla~hEz^&fjwKJqbB2SD)^!|+OI zVP^`2`^r#elR1j_}@LeK^wPXH^mpyq1NZFU~fN+QE&CwAY z#&`gz)fZ{gWz^4}pZZU=NkM{RB|-k z`hb>sgm|VfxZLJ1%ZDdMkD(J7A&dxYrFizf*N-9NJo@4kjO?=-GFxyIN_&tIZXU#V zE`DFT_5q!!r#31>_6U#fPi?Sp_Jd|01Ft)mj6F)FdShyqaT@atL&!SXlDS9ARO4L@ zUo)e45*C&hIFXkO!}V1s^6OwU-UeugS%ck6j<|m_P5-;7B{s|(II0&Ish^_38~G=e zm#L00KPmAxP*BgRGV)Sn^4T3-hl@@nHj!d#wZ$B4wn1*iMY|)9Am&us?26v&fU8Vq zopd=b%n0S_)_)g8^qCi*wyOCetB8Joq28_8gT~CYnZ@Y2;_?*Vf~lp+Lu19>ztH8E zg>_O{^eD6HGr^;JAXzeEHV%bpBKPRg)xa@p zsM-x5Vdvnws|uJT1?BcZX=-@@iXGm~uOZrxX;(C@7~6;I)qcWx7!eZdvmOAu;F1Kg z262vnT$D=vvv~ay`I9bmlcV$>dP5k%nD2UntT@=rpu4$wCE~O?!Ta_)jzrhvDqLl) zWjg+JoEx}@6G7NGZZ}|OTmit%e}FxBo!#0!P}!OE0~@^z<{`u&0nU9qWOjBI818Mc$r(cf^$*7>b?yW++xzd}1pzCPvIdrxdCS1)ETf^q{e}Ptwa%G)9*k42uE3?Bo{~P<2-Ta9}+gea9ZrwB3+HlrDeM zhU*!a;+a8kQEkm)A)k~M+j9{{@=(;f;;*WbftY}4Kz-uvAF>VrhePNyG1JIB_mksg zgA9FwuzXB7GBIl?B{)z4tzzQ}F&WvCN0%e`{s5OfaZ)7usQz^P?NHm zY*#dmPNS03R%8N_6vU}|CypNh$&L)@48^c;vgIMjH`8?UCG@A1ikgj63%L<;BH}4#j7Rlt+WGxVBRUul=285ceAxS+X(yt_ z1(Cl^eko{01cTm8f;n*$_uo6jec!(mZf`EI04q(rdW^H9?t9PRs`i$2*h>1k)=GAy zLr}|8%OMA9@P39!|I;3h$Kuk@TRj#ei6ri0l77t(ZDVd?^|?wAZbOn*ciXnrQ`x)H zrQF|JoH)qLTn4VO=reGtvUy_`opG^^pM*25~dKM3QbS~&J!KsdJdoJ64n~DUm zj@@ZIqR+kwLGzhKJ_KjV9u0P>hHrrg%2Kq4#Liac4n;hIo+U(LnwTAnwguu_4nEQF zP)kr$SznyHGiQ|H50`*7A$#bg*X4TezflY9Bt#&03NYGc$jTz%#=IsH33*A>s)WIC z8Sl6b78G8o{mx#F6NWZ@_v`?i#y3xfc%|&pa4Y*n8%1i?eC^^5eY!vF4*x%x4KS$I z5;&~k_X?TPL42mR-<+YkPP17VQ=W#Q0`}z47nYby@^&g|t^7#l{Zj`EJPFLqRqRO%uCA z@KcyTont2#xjP!t6@?IVCGMjh)fRte-yQ|+^zX*GoLzp&aWPW2qD1ViBRb<;qBDF? zD2+~+>I&cOMh~?ZST6kpSe0m#43^(tU!xWlYq#B)kbnY)?i?AGxA0q4|5D>(4>2nLH5vZl84;i$lwkdaFk^* zyt1se`Uj>#SnEkKZ zw6D24OnF@tzkAN5IHF3dHzPa7oY4gcF>9jhv*s~gF(8OwOIlf5BlP4NxFAx*9n{17qSOKI#l!Hd_iZocO_i z!w9eo4Cs1^nH;4_C!U<{k`O(J|6%Ln39%NY=a~LBj+1=tu!l}Cc}p>u!5_L|0LQT8 zd#uC1ZMDW=?CyPE7@bhhddcLU>D90}$vqq=wdvG_biKPizS&^d@;qD6<7WrDP6)_Q ziS2};CFx-LTdT4jQU%1E4j(oqUa{v*IJVAAEIbO+V!^LKfePTjn5YcFk{qIPmUQbO zG?!iSR=YKDB_r*N34zQ)+BGOE%^0ca+bSK>b1Z0}Vtwc{l*LibsW?qc1%GW7d&>q* zP}Gy&P_LPo*w^osMEhj`fJ-(;;{du`s+YDJhl*B6U_wn2Rd zQ8wWvt87QBR%+{kd0qm8y0D}QnNqd=e>%K4;8h2L(Sbh8)3fxLj2W6lK*>G8&?NG& znN=G%z5%M5ur{p;*RO+|26pL3qEJlodtf>YUQ>UEa^cfL@QL!GNzWCvFCe;f;Mu!_ znO9JzO$H`BC&He!f4@#hj3nuPFo`g z16@(?*+%H|JLx1}B#F5)_u~(Y)fncD&ZTGbb)g@_$4T(&Aa^86$#=yP_D35NE|=Aw ztvKL|2OfE8X#t`Hc2Jtbi3t#z>0Pi|W$`VgC`OK;VwgudvoRimh!&lN^5xFq5c+!r zkCdWonZmbqeQBTCeOog!sAgfe4`;b{?6A&V0tw{NxRYs0i_iASHzCstBKKnIOZS^N z^Fahw9cOJGe6hw1ci+w+0)G_Ik-v;J_!bfKjWlv+B3ZSJY@76b=!QR zr7HIaqH5!#(56pJL1Moa6A-ml;LpSj(yFG3k6;d7mucqjiT!DabBO3YG3yW#2+1P^K&ev7)4SV zPsgqr0VpjZ;#lu#JlWX8{>>8rLIj9Rd>^kUKEbe~nxmmbNJPFHv`>K^81wAGtw8shUnbqW^5Wz3aW&#H1>aGzk z$Ks}GC0}iH=xmNU#_Ha0YT5px&ZH=ppPyC_9whfdI4PVQ-i{6!yzW$-b~6gR$IBnO z*4!S|new}5!!hYcqo+M4my=8I#c)63D2mUDgh}UE%4zN`oPV!qPUXkjDVaJSV$~*RvK~Xhk zMi1gpke2#azR& z_y2{X*H2jNgnbn~ycn&BRvj0S1>csdj$Pj;;@+zUp4Y~5Sho!4gJ+%utoP(+L0{LQr_UPb}6@^2ZU0%=dsgjCDZng zx-`s|bm3fLT}S|`@^Y8UV5V%l)`Y+MmqjpQf}^uvLmE?!sG7<~zlTBN#C-)`S3-6u`w-^KfmwCCrz{Mt)naB><*n*Py#U>D z%J|bea0EzvkYPpnh2G|ixQ5#FYc%n(lj+lI`4h-6;9+~r#!(gOyl}v(pWxcL=lHbp zFJ<7oUy!DM{KF;2CjX8hCyMfyvjnCt^=Na6){?9LBoq_4=Oz9+hg50Y%GF7<@z&Iy z0jWxB6V91`0R?tZ2%BKPi5hC(@E#(qhGO{@N#(4b7A-JGel^dr!G za;8i!DI1niRr8*KHWlVeG;=cGVUF%~70oxs62-)%$L8SwAeSy0@yOMA%&}y3x;o*u zctqYAXP-rSUkzSc5IcY|dFB2Yawd^JYsy?pyQsQF&vSZ__M&udrtxbA;A79BRkl`k zMEjl||Ecu+v&_)$vXUBdh{F+Biy|L`Vir=+Gmcjif}PynUg~tfQJOLDqSer0qLUZC<&CT3Pjw>Gc#-K(!o^0-uMVMfx%XW6q!B-&BXJlRtVRfjEvw3|v zO!WmbO&Rrd2rWm+{AT0vR1T>ftL^hT0;=}d3iDvCrKgsb&6kP49txIVes!BqUl~a_ z;yLUUkdm|Y9UG@u!fqY*e5dm0^CS2pYAbsoil0|V!#;>9s!2#M3OPNh`>Ld8Snj6) z{|K6_c1qXe5FWZ3f}2=Sp!%JZq7%f$#L&Q#ySG6iodyCH3(z9Qgmf;}N=u13ITjwm z76&xI)_ehyTxkyOg>PG0c_S1WR#Ry`UF_acr)oRTSSyHHQIw>iWpFnQ+NpL~TEmif zO{&?FZO=8+1<1^<++e;!sp{vaLdovv)yJ0DfJQ?VI@hma)0;E`vOF}$y<^_lSjB(E9(sQ76t zBZdlwTQU-YS6!>D+*T_1g|mKLSt)+3brw>VraYFwZ0bBkLQH&|bESk|${E?Kl5FM=(oIYSvX)00XC z>S^DtQ%5+_BV5vsHdTJPVXZ8J_UkV3Livele$JH=$LLe)d1J4FXrmtm!_G9Hkd*Pp zJBgH>QFSbxrp~#9K6*q+^@cgR7xpy2Ja)ctS&Dgc#49vQNE8a4_%OV0L5ft&+;DGY zT>g2M?9&`h&cJzZ_$1%8Y#jV}Z@13^T^D#nEJHXYllgyba2tC0dVEBJ>6L(K{*l&G zbld3K3{$;SP5)4^t`oMq>_n&=e!`GROIBz`%et@4OjqO7GQesz`SI)L>Uqav{Xl*j zZLntqyUc*nJgqlRV+09~GLt+W&a`l&{3Q<5fS9MqHPl2Je#;_Sb@3dk-d`rXC#k57 zGBQS<>8bfi?d+`@6N3?n#{ff|fx+Ki7D-YfPwo zCH8N2<0;7EZr9$YCrKqb$DEjZ4T4lVmlfj1xWKGGkQ;+AWX(VV$g!ck@5vKW{oti_ ze*Sboo<{DQA`5;p8VwHoXZu9*;e%O4zd#9I6_JAh+bc$}Fu2WOp~YM6ll_lf0hRfi=$Yjnx{X{ZirfrxB)TSqh@qgT9lU z&;&h32S?FbZRn_9+fP%QJM}LCMY8?l*(zh3$3XO5%Q#$$jc}-{cdkG~Eo?JK7T+K1 zUtVqNkn%|M*IEyK8gOLVnUCnZ7i=*>xtF95r^_FblXbV|v77T(4U}2Zxy`8vY0e6c zwb;#t9Y$$swHX$9uX_Tp6&`FM6J6Y8BudV8dRUoOaD)Vn+JiKNwWU{~Rbwg_86MxoCaAjBhivI^9>hRo$;Wm&f1*7Of8 zaiQ(+(qoxQ5OU(0Iy;Z+&T-WR2JFT0>UxKjapjb)VE6*5mEtDwjZ-r=a2DPAHO_-S zN%MfcAXY1nmAxxLa&|N*?B|$?DuOE(pDPgc2)5&Q#{D8jr%FTTu*!V$7ylo*)iI+0 z8@N2q1p%+IgeEoo{b;4yvORfu;6_CQ0;$I_`zXRr_}wV^D$#G$d-u>{6C*l7oO03h zW9P_LU}TI)Q(7h|1EeP@WdAh`1WRNwQBk`2o|6E*-#Blrv%3mgKD0Vk2&zzpa z{f%P*rE&0}kzPk+Odq!(S&+~^zg@>Os4pwo@4NG6aZx5*V;Q@MwhAYrYfrYX(ld2@tXHVE zrfRMHt3#?aAJiD9#`O+f5{VNhw6o-&UN36OJ&&Vvnpm|tL1QHRPY=i*L!oKK1|4mi zQt(tUhd6|pJAiAuMjHwsx)p>id1f6jtiJtO?dk*~N@?fj{Gr@G?>)_wj>EJUz`jZ_ z2Pt({GKyX>hJ}Yx6B)2ETZm)BV@iZN#(Hmv{pe@+vdDVYT~%~ZRhxAkd=`7fyYTGV6)X?22ox>2)CEeYrbmx$QA}Nh@ zcXv04)X?4CjUWg}DEjW_`{p0aKK8!vE7m$!`^Px>;yHUS0JLe+?pl}$Y<#A3Mg2?Z zcX_iVD?cyFxTm1yith=#yGHRHu@eS zMs{hKBtwXIeOM+tG6cu24I;+V;g#_U7gauMERQTCCUyCxherKc=VBOoh!tff-1u9M zW4H_d)nQ4R%2kX0U9#P@QXQL8Y6X#@-NicdQ3>|g`yi^lBe@|cV)r3O>&xs1FQK1U zYS!oP^RG1wBDROJ%BxE#H6LoLt87oZ%$k?f#%xM6zq6~CA2EIH;!ty&)}YpTDAZ5V zsq;lY4Oyx&jjNZDd9IgS;PafGA*)=A} zo%W}&Obw3b_lpA2D_l-EOM?7gD?qhT5Ner2Q2w1pgE^g-27-?+(KTKOLd^wLz`SF# z3zDyU1FDAglipI9&Tn*Z#tf;q88$eyzkuco3u~22)?N^WFK0^&IIy~zz2<4Q#8)39zxDRZ&(uf=2uLx3CBc@)(W(z5I zG`|lspVJcKw_5RApO=^U4I{p;pqIXBxl;3f2=pcbGywl)Z~-JPV1p0LqyVZi5U$28 zvFZLkTZ*G!bv1YuO8$@~!1>`-GFYG_Qi;g2@*8Pp7%Ks3YV;BtnLQJokS6)KbK3?d zwvUxIX2H59{M7w5a658O&pi$1uo*O$EQ11y_2GY_l{XTgU`s)P{ZoAvtRmPPinq7sNJI zuJ!zZwJ7H8(-~p*%GehTTIu5^@vOuYsM!@Jv!d9fHvF)8Xl0r9DD26MR+ltTHSJ0^ zE8%u@zAQkFV?n-rwm;glL(5jbfO5%vf`Wn}mQhnZV%7QeVB%%S1t(2lBS&TzOetH? zS3Fhgv;{W8L;0s?5KhoFZmk&UMFiUPxC*l-wdSpk`h3fbiaw;kkM?JFbik!O8!ylK zSWj;$l%nI`SO=p3t>S9be{{sX21-O#UkPfIW_z&9KMbyw3%%Ic!!K3mI!jWqJYg(z zebvzdXa|?Jgasb0EZazW#E@Z4Ju-Se{3Z2^32Du8E{^{jIy-@AtIEev>waMGSCTK( zzTLFu=oE5qG+aCbOVOM^CWwLB&0WXS+T@glLNes&5mf9D0X5tK31KppZOkUb0hi)N zu9=Z~Z!F@WCo56w4??#L+U-+Lx~BeEpVH9_tA|MLJP#%coqd_~2LbH4*Z7}mT}&Q{ z6U1i&gW6ql>n5#Pt|Ji}r~jmyMh7A$)8vB2hc%7*lS8e>7rIFQG(G@`E2T6OGThZ!o{)ur-6R(@ZZ6m*Dx;ODL|8Y_?!<1VPfR#DmyN0uE=R{s@9?s?M(NvfUt|(4k zQAR0c8hOVZc~LHIMLGBtGo7&Gpp5UX6II2~SK%Q}Ue2Htofvf26j|? z;a0}d`3cgM&FJ81a9s^Se@i}^-}q$`YZ|o60Wb;FAB0>N{QZJFqAl-=oCyT{n@Fac zN|op8Z<6qXRV6?F0_SPri4}Ud7^RBksnuvHMamM*i-X)>&m!fyS_rXJ)oJcf7wty6 zbNz&M4zba6QCzck7U17`S~mQnzH9ON@Kd%0DzEkAgvayk7fbi($9d*_ZxmM7Xc4a? z`Tk(a30;IMYuGDeAN{lFSqyG+yF_mdFM}c|&y=at{$IPl%xU2DxI$d+&gCQVvVXTM z{6uqGpU3WIdT#k|SC2gJJYRHfC#zek1%G;ccQM}31REg&_Oj7IFf z^@pWn7WFOO)rfhp^s`#DyPh=$h$q{IxICdZZMr^nPOp|ZG>BT{T~8~R>s;WpFrj14 zy=n6|F6t@_&JIpi8-mUZqUuL+-OG$n4nge(@(p<&B$$UZ97JkGv|eTH^6FFCK!s=_ zQtxX8+EJ+Z_~ae6g=qhbHH$KHh5@qDDos5SPU9Nsii>_g4u*9eebZW8yTU=XAAx7d z7t`pFP4@58ufH`TNsQe%;q96Ebo)aoRyH;^*y7FEB|}n(jM71}!5?-}>W~o-(a@gp zA1;6E&y^jL(r3C|7qV;F5zY(gIur9012 zTJoy!t9LPpx2v+6+Isf9IM2B;iiRaK89kld+3O^%|5(3476}VtT&Vh@5P%kwsbfTH z7F%)F2*V1BDl_4Jy@*Jn7!%e+9?Q8GV1FR|vx;&1mS`-5Z2Z0Zz*M&={V?VDEaNp} z{Oeiab$5UNsy07H_Kn$NAR$MFl#e3Jl3F{$04kOnV+s}1_kr_x*vUQC93;bQoLxT1 z+fJsyL#$m^ODw_N?|8Dg%4HCo>?ddnYXf~GYr$*F$KggPHB_&rzNca5=dvCR%U&oS zK|1zRX9ZBaLKp?@pXG161;XeRyKfe;?ju|`p96U_!~G2n17E7A@1NI2DHjBB4A@TQ zm1QXP9kV@|5QPgm%fdUG3YM2T;p7_@9I1{L9(9a4S0b6|7IUU4@Kj>e=lSyVRQ98yOX$^<(HD7% z6-<$X0rOC7G3Z}DV>{yOG^F+_n$7Vea~{eWBoNh!srn}#^DS7XBSj2PnO+l_XJA#t zIGf36b&BV-8lk5;PuP(oK4q+h0A@9@>p;JIDX=;=g=&vi>q#@>KxY0dW^852!J%~WO%7RPJahPSBB%C5d9Z{u$EZU=CKVuq_Am2SrFxTdVvu6(UFkU) zFwnf_0CAkw7fq5eIHxNwxBfA;{IQGONR$~Ig)_EpLEcnBCiSt?1)G)Rp(CiktFp&%?qDZ(I;=jgqYhF4N`$di)J-AEzw+ZgyrlG^@> zhz?&|5&e0pbRnZN%^2xPI_r+Lo{7=x@6PrUW9t`-`qwNTriVcl@mNySj~B{C@lAc2 zhM=1I0$2wp4M4^*4KkKaCXf~q6-AOnojDpRO#$o!-+ws^D?)eNeMU+3FN2&5HGllk zz5CfN4Y9BUs2(S|I3?l4S~KVoP|)yL8xs zXjCup4+@HUPY)MHPi@EqcNv~7&D$HvfI z>vPo0fn{4KM#hvter|5&+VV09TK+y|ya|Nod!LqHC|KUs$aORJ=mU2q#)$qCKyQ&8 zWuAY5u(QGiKdA3J+JsEnKf8O=4OWE-mKw08D2>XGp)P|kh|QhJc=BK>E`)?Cp%3^b zluZ7g(Tk$@{U^lhRa8h>SXkTV%6aAX$!g75;6sjw5-aQ8<)=;cG2Ga$&{+ebyv%1`3gKyT&q530S3QRQV z9aSodT6>>t0{2OLk|PFVA_H^w#1Yjx#0FSk?$?7Ofd*bSerBfvrQp_EFRuLNKKm_F zYwb<6sz)@G<#NlHTWDytKqW0%N{*X}9ITvg?v_Ggf1?~J&wVOyf zBW~F?o>LZonlu&C2b8GIs=~Et9L+iU)&1rTrnMw(kp$wxLkZ1Ce{}n;Z0Rz>@tTe7 z9prmsk;#w}zM{l5j-_Qk>Ox{03u_|joU{6iksOs)+7lN(F|N%vO~m&@t=uNV1LmN`V<=z=EM<NrTg$!$yt+WWVuae!6uyDvziujOYwU6eJZG}ix!=E`l^Je(eJuC%af1d zW_Z)oc?fNb@Cbu4C3X_X2bu1Cux8UZM0^>R*PK>t0!QV~5k0qlQ1ZFF*@#Wo>iL+Vz!co| zAvx;pPP+f52&%q9)9u%QUC0VY;SW!js0&?jSJ(LSP8Il%4|@AELv8%>D@Y^BJNv<* zlm26vkvhT$@dGA>>Xk!NSkjw@a_l^0*IW}P+rC3XLm_c6KUyJxv>3ob`Y*reNd-+J%1ZxvTMhsEvvPvGl0Jn&c-U>4B|x!r9?~ zw-?0crdhgnUb(#E+^Wn|Hnp|2XO1ULhNA#yb|zy@;imb*V?XhWpSSX|<@j_DI7z~x zE)z~kb&R0dTnWSk@Go%CG{ne{iBV=4q=zp%f#>Qaq zAms>qh3pZ=2G;fXbpdmaK+G-QKWrDgVN}`kQDFvV+<-`vi)KeJ%H z*x=xPGHF%3aT{@=MB5NWhkDM@`USIjY@Pd0xWuGv;_!XuhO(s-5(Tvn z45v==Li!|!0kwA3=*2{a!zHNBkW*PjpDp~wo5J@cx(2F?KqdUS5L-TU_wRJwJwI3E zz|#7(;*dsGr|WH2zK}n&r}dI$9c9hGbKP^<+c-k%djslED~vBD?e7fKbJa+#?LPM+ z-qW=a|N8E?W8fX^s+Lu;ni-K2k!iJotBE;NilDa18B8`tUif^ck zhCmalYz-6MtD5*?iy&BNbf`pFB^^>WAvuL2rK=)EmLH|oSF7<;v`Y$x><7W%m1Llc zviyBWyvVo9+hh2ebc80JG8~o6xw6za^}JCsck*}|DJPJFhz(Ri{hhX{F; zN$#VJ0se{)M1ZR8b!)CRRmN=8?$6~Mqmmei&<3)!jZ}LbiGay#JlrLtB zXQeu1Mi~up^yHl|TM*0L$kA%zd=+(Ewxr6?FRPG2P^X13Ne~bOg<~ml6wH_R5u`u)` zRyz;lc{haTsouX2Yi)53wICeO`82oZE=Go9*SvOoys+CKHH}r0a(w&bB@&*2e4kV2 z2_u|OSiwI3DpAQS6#v+xq-sC_GIt46HoOEKvbJ!R5#VdGf`u-n)wJQjvRcq3+nK$dzIps_90&#yGA1ZSEktfJ1uzM(gu= zFXvinMEW$)hnC_y!!bRn| z-i~tB?%H_Y<@mGfs%MX|-NHYK8qR2BDB4pIIVp?vn_Bd07D9Vh)U+Pp>w&+rgovc> zp1Z1aj{3~aymUr(YDv;rTI3Kf9Ts|j>2()>^o_EXDwk2vLsfWHgYE8Zv&@hqXTDG* zwB>qzU)W4~C0tL;`P^0i>fFos_{T&azB^_AdPIqLc=JJ>;R}C@%-Km>42rT<81!6d z(GqVxC=ZTvD8FIY1AWgLsTN{sLYjd-p=kN`7_CE1;YE(2kh+C|u~}b7u@zX zp9(`p8$j??NkzwCFn}CP-7QXLB_<{&t6M5~CZ`_nbn#nrF@`;YLv5B|GvMl-qwTk} z?Via0PA3jqBWE{p_Mw8Go3>&0)vy~ER^^K_Z2`stMz-_*any^bZHgv&(}3!9T}(EZaE{v9(1b}GCpvcr|8 z#PfWcB4{V9ppMo5r)EHzOkeMb6>}xg`m0D#800ysS}|gMDiWt4z-K}CjZn>S3d;St zK_~VijM9l9*l43^PqE7B8%f1)b^I?-&K1%2&YIEr)&lK^3YwhhtBZv5khx<1LJY-H z@k^=?FV!Zr(Y3=<>MyefWfxXEDle_CHQt#$|0o@VJBxJINxF(0vKSqcjKUEUV$8?l z+@!}U3u!xM2%LCHL@76F4pCkqUNwu(wsqVO_ny9U;z%;xfbl#e=bb7Z!`P!jHNxTN z6NYnD^IprNs0$I zB-$5m2&;uW0$aN8@N)`pPKci$R~$J{Ky|EGk}K?ECSjvwP9Bh2vve^-71& zK<(OSIP|z^#$FosTfV)$ee13JhS3U$$k7csD4mB5`-Hwl;IitU*}rR%^8V#z{S#be zAB3t&ELOlZbXwwBDm}6PAtxpP9S+i#DMHpZRCj?SLZ9l1^~85rTlLCR>Lgzgd}v}% zC$B!1(fEwdBS~l_N2>lx8C>;l?8(Yr!F||Z1~&}PeVjdYm9(LVkEw(I3N@$<^->{J zDuxaT(7jjXgpxaSLH+iNR&LOV`>;c1ygIaR8Za!=ab0AK$kb0zW&n)gBAT)AN8$|x zWS*+?4WtJhR)>U$CZ^~kNOL)!R4um|2Ng9IxD9O>cWLPqf)s7*#oZbj?}Ar8BAD=dMggXGr*vSo;X>Dhc@|HXli3tsqA{k)!Uc`UO#@H;OQ#%iD z2fI$2hYwbIPlc??5`a^73X5mTsVZ{YTU$kfW5F8s&*v|ZtP-_s>FR@pUD2y8m8`se zMDAR5o^Guiz9zD9gQFU52cr~Fu9r9qt5l;hRLNSHoDbQgH0MB8Tel#u+X3|>L+2N! zu1sDm4xF10WAO>-Qcr3e21(fC-ErHB&r1K7k_s3wLC(JjT_a&0{)n|2dMABDNdTNS)@ zRJNYi#o_bhVg0glW-IvKI+OFTrHGXE9aCo3Ih+6Nc^1KV=$dX;Q_zgsghI|n<#*ZZfxJ?EU(pSf2v)Q2m#55$m8inb56wSbCDCUr%q^(@D!x1` z`G&!foP(j6lsnW}R3Dlx&j^~R(`QWWbpY$GkSIjJKd z_XQgUM~#q6cV$=SB~oBxF>GWJBnS$oB}wAE2%pQim8OPl|`?SzFj6qzD)*Z3ZQHkiTs5PO8gPB zd)0b~R>#X;+{U$om2 zja0e?$VrD`#R zls(3NvbvG?B+4gL#!S+y@^Xr}ZU$t^_X4o-0ShT;t!B@PkVIjhX1kC#lOd&Fr(5cR zlhYPUjc&USfGn12lKQX2eY-P-b>0+o_#lo< zCf1_0Y0WvF65rBUzZwq9L=9ygW*)ZXqX5pu9Bc*(>B+Rv@Ef4|!S?lSbGH=AzP#G9 z2N&PoHYX=r4gGe@ItGr5?5QbdU*B|J>eGS2c>sP(Vn^aHawrV=Kc*~p3^c|u8*~b& z)!_)Dk=-M})X{&#Gr}^o2MF#45D@KwO=VO$Kd9~Ik}h)Y14ln9Ggjebt4{u8K`# z@!Tji#buF6bcm(6g(>)1N~E5$jQy!J0^|4 z9UF^kQlgPK)-oqj=Ql~JJ|1)KJEssns&R(2&Ir3V5&4}d;RaSOF2BdoELHH)o1q=y zZaJ6_`XW764$5*;eU)$;oS;3R6s23_bDB4U=&07>l_h0RY)R|0v);g#b}+{*8+{RB zUIg~}4y%}LwzV3hvag<)G@Dc0{Fc+is^#lai&YSQs-mFbw7k(?Y4!wdR&m-co+^;T zsv?tphTR%!R72&cJ=N;4J5?0j;jr8ex0MeSZ-lQ_A6)E+ovm{_J<&bry_&mubf?-m z5JELdCD4f8uxuYS9fDh=6FO}y=N>#I6`N`j_-T7)aYTmxSQC1$c!j=JHA;xVG{U6O zzwAK#Gr?{ic(`lb8OMY6rpO_M-gkkIP5dhg`8w`vV8gJnx~e&%DD+b75{qKJuU{g+ z3nVuHjDVK^#9h-j`j2wT4gmp_({gmk$nyZh0~qE2)NSDtU^WV5R5_v>(USrhYC_6v zYUL-u_HJ0}Ffj@e#tz()*~|h{w8N3^GHT7?ztWt^2u+}N#dEC4PFWV@MS8KJc+Nst zYJ_PM$O;8pUu)02Ea-;trXT`?w%oiic6R05B_pc^I&4fikwI#q=VVYV0#vAUUCzUH zz|15_WT&J)$#Ebfrjx5p#vFmof}cJtU4(WMcu@h~fH96zSaEWe)O%C47sLB!!NXXC zANSQMb^f@ZAjD|`I6)g$O5JQL+A|uK0yya1(mSS7WWfhbXnHA4r1FI+y@<|UiL(h0 zszW2g@}Y>)eu8AX6j`FO7e$`RMA28~4lS_EemriYh(}&3{%emKAjQZfp6BZ7N+R$N znUlX5jhmYrYLs)WKkqdi&A*T#Iq)z-1cs?^O8U;d{S>3mwAl`2GFwG? zY&C0(#^7zWAvL}Qj?Ap0O1b zpgeqf5>C++E{9w88kd%lo6`bd)HcIO8MNvpoiePrB|ou!@ATq1KY?zLyoQ5bR+lj} zKhGlQ=Qac@B9!dFON3)8$Q7EkhWe_9TDrs2uE`j__Pr_*gsd!>|kN<=O_)l|7J?`MuAD+RvSNOaPe1M6NcdeT&}nf<&qF9PRl5AmX}LhYp# z-W@Y?*c!4|1&rqyD0dfWyPVwm@%u}RNk`daqeJ9(D%h`-&BFo}eaA&>KhE^9x1dc+ zdu*<+u1Z=9{z|;v7}bLPMQ%nf7L(IbX~s0FgXt9D!PooR*h(a;5;fUbWK?O3^~eNk zP$Hj+lmDi0Y-Vy`RgGy`JVg2EG#cZbmciU!SuEZ7;?^lW*ZY*Xb~@R;R0rh83?vbz z9F{1*6Ha-~D0dB&=zhO~`k?LklSMD9?ktg`iYCHe_qXlHI%HugQr-0=X%w-zRpGwO zoQ7TE(FN}=|468}_2q-t6^yB8u6-82uGDm{l)|I!H7OI0hlYJJKLJT;^7OuiWpc}} zUx%}aBjE|F0)kFnRJrQqCMG6yVPupELPP%m^E1|S6dIm=p1hDpbEk3bZoup8DIXsn zFM)n}VIsP)J@?21Yu%#$a-z6k0_t+a@eZbD?tGcqrX@$=?5Sv(Pa^qwBY42g8`fZ2 zCtuv}E(94QB#n9U>(MF^#oA5RB21YWC7|Y0`|#td$*fvoPJf^D>Sw0@NohZfH)RXA z3kwT3euI<1trnVKlVsXc$iX#odGB@Yw@d{0C3T~s5fT&Y34H0gBE2dGc2xcd9wUig z%rOeYhctRtU6~BX{-e@=p%IrJ<0tnWGBVj#n*7b{r0nwV>k6lt5~y#lgzUhcZ{H?h z)}#-dJ|3=P1l1rH`&#yUB0*Hvt#CBl794}n!q90dgd(n-qWM|>(VqQ=snUG8TPrCn zn>JaI36F(EG!4Z67)iv!KPRfqAI1 zN*CUk_v&*I64Id09|#(<0T@u2`}q3uK)7GZ_jQK0&-7h-3>(Oq-@a9qa?g%0r`*tt!e0Nb8K3R+&5={F zLbD9|nRY(rH+w6#$9?l}<#%1qopGPHVl}~@Z|&+@y@fwwH~bP0s>625s^#)#&kZ{R zkG~w9~#<)_&rM054O5re})UJXcofM18`Gp;#tyXeq*0GRagyy%V95zLZT=489-J+zeQ+ zWq+SI`y@64O$RVw8MEf4aSM9jVU=FsLu1EgkGoo=Oo-L?mYh}STksd60_@v4w|4m- z!CG{r4&>faqJaSL<;JfEfZx-6!B<_F#LN4(*_b*7#PJYO#--)V`BBN(XMqhYpg?aN zy#2A&G!G}D(E%(Rk+a~KI`tE{)Q*pl75q>`_s-77>|5}qM}=KnHDO#l^(~1u*(*MHv3TSHN0vt~OwR?|-s* z2`zYPUhS??XcxBoLl-fg62%T?lVpP7cVMnwmQJgA6jV+93*bk=*V^nzBjN1#FB#0t3s!yp@2E@gW}~vuosa)l+QT4FWfE!pl=$~qX&C-X(*Vi89OCg zZRNQh^1sR6t2(Zg>5@LLa&b9#RwB``zf2rpR!EUam(}`L`_FsOvIueZ-0Se7^D6t} z3YiPiKkOutPxJjAG6oM5HlACH54ok@f2+T0j+Yhh`G^P-?To;fg`%{ek$X%AwqEVD zwUB$$KQ0;PMzmJPDy52a$XUP1BI(=Jup!A|?N_Y<^|+NE(-KYI+LUOvNQ;O93yDTq zx7W>2A9_up%*o|+9{~+05J3jaZVEA4rD^UVYunq~Ri>k4;12%TVpLq34>xd9H2dHTLaHup#Pca3lMgUhbO4Asc?y`#2=V>q zRo-?N0#Q<93FucNlLHP#7gtvSY_IU*CCAiTodF4oIB@8mHDWpK#wuBMYYOebjXYZD znO7Ep4;1N(g!p0K_1d8aK#iuh(7<;hK&|Ywr1SU4>@>SQFEynLRM>mkj5uqyf9XKj zQeTJWemnM2>PmQ2ZpF)>*W+M#Z?DiBzw18N+l|U%E?qT&uHFz{o$ikUdRt*_ zTYy;L)N^kIlz=WS09wPD-5Cz}Tr*Xh2#W4(mY=mnGaVen*Bh6Fow#&qwngb z=985lCy5Pp?`53x8IOOf&mL^sBZ-{Rz7vrw)?@V^RGH@e)s*y?*0PY0$Z32#JtQ(_ z-TC3YTDtd{&%7%$)GuqdgUhs(3Yk9CAG+)%yHQrV|8qI5d-7tU=J)p6g}?aqTHI1r z3H;pD>1)`rk~ABmhb_bNjNG?^pFzYJ9q$+N#>@??yO;r1+;}Or2@L1EU z{!(xlW;SSRP9xXXjQzWV8bZx#2u#b`Fkr%@kPg60?oC#vO4{;KN>N_}`3+%}AFQm9 zq!9}~DLZ(2CRb;k#d>!!f5Z#aPY7B$!50JLV z^T6-s`D&DU(snqUs+fm;&Yo{t7&n4}>V&_!jQlW%e8!580*EYT0(UgJG6ntm@v zV`^&3r^biGgEhD}3={6|$T-Sz+up>sXfWmkhc;#&Vdby7G&i)~A8oxQ<9O>bjK9lN z(nrAe^B{u_HR3?NzfbnvZCtqo{TWqehRzz5cyEHpN|d)2?n}G=9}{>`P23MrPbdjy zZn3G@a!61F1iHD-U@qKr=Co2*d$VplqkOL0Jirn7I9^`e1q#OlgmXTkXjIcyng4x^ zfKurA`1pgw4p44Ogpy@VuN52=h-RSI5UUG|9W*>oY() z7THqYX(4l*tNl1dsE$D`N61t;q~d(@qvFJ-(N#;uVFf+;$l*sPZ8pg=)-J6a|CWeH zC!gKyLk0d;r?hNWU2){f9@FL8l!q9b{{kU^KuWSwx=BLn_B+B}ll5?)HmUUJX;dT5-YPIlkrgSvT^lr?Zy7(Tj)1Djd z-g^4H_{n>+wY4izxIvBhm^YHUFLkgqN$yHd`*RpaU4~S5CuA*3j9Bewr_5 z{R|{Jw70eC6MSSEjs$O{JH{aY%fInE`18k^+mGU&mFT0CGP)gz7PPwXJ1?PpOc;>x z0E&@fCDM5(hn=12MM_5iWlGNenB`yQj^6vtt@%(@-1=arn@ZlI+Y8?!zhh)%SlY1qSeT7>5rGM6-?SHcLR>4=ACTfC z{_v0OjjGK_Z??~O9*6izl)wnqqo*e^q7+C~B^h0vjZzuleu^$gRDv3=0d4MzOI`)K zdV|A8-qAd0%XV=Y{(r~C*aL(HsK<%T3WqQ)IUzoL6qi?5`6Z++TriOBL7Q6tpV==m@fyaFg_%ZuUk2i=!eb1fEm;Hzy z<_RQqj+_Go%>MmOR(@&p8>K8&lYQkYSU(Fb$|=r8sYeErCrL*_iw^$*F8%ppcWR5T z-hP$Gfn-0z%qrf1pV;t3aWMmj^VNE*IBSoNupZR}b)q{}+>!j-apOX=G^e+=OT$up zg>POK-tg0T=&z2r3yDcc93LSGA?LtX)XIT2hJiF=)rU3wPufJ`jB^?Q zl(wjjNE1IXtpj7;J~cUjd2nij#JF!L1?yZ~)by)UjaGNwjFKw^pvItdOtOy|G3z~B z^Hg=u6<~;+{8=_}OKb(!j(}$gnNc}RGQfgheaH737eZ9;VH#t)>^w(Ttx9>p$kQfb zvw)4enAt;dCJ;*@WOI}Qq|wHKFobJ3k-`u`mcP}tM_Pdz<$m2<5J%A|((#3G$LYs8 z@4I}jC=igG>$cO2&523W-Y5b=L-{v1r#1ZqwDQ6yKow5A_c1F;|A>lRxfy0rNDM{_ zs30chl`zsL9cRArHcCYsZ#4D1Sbbl0h1R^kjTiHpfYmL9vQja`3Y{!#;zh@_#-E83 z9qPu46>=Mb2J%aeZcS%z(REJ0QyD{q>L{N_$ov}n82N2={?2c1OYSTrv-8q(TFk6~ zvm9+vaq@?5(bf@ccI1ZfSPAYbjK50bT6wseAa9j$!-Y(T9BliY4Ryz= z^lM<(cuaka(j8;2QCG0Xk$We24%5+&y3X=5YZ^UCbzI{)S`%XWw96@&B|2$i&b3aS zvva!78_pXQNQ8K9;CgxX&epx}hJCA1pv(enhW^Z1t+JmXwBSInNbS{k7y})VuoIA|{s{v;?BlC1Bezd~ z9v{iXFpr=Ad$Z;7G-AoT|Jl=#?Ev@GRj7g$UTptR9L6Qr^xfX~?~oI*Ty?Dh%f>!E zq~tN%%v`Ly86~MPU^rlF!EH~1S%HZ(NxS%+yD5^mxpq3Mm<%T^gVt&mW0D%2W~G?o z%%yt1@%v+xb;3YHtK7RkRVEHgIQN6XHq+095<s_xj0Co6WQse^+W^RkVht3Z3`7dusZcoee1GBW( z*VZiTaZceL0j^NXhXT_;iCp!lj43RPq&a(8QU+(^D??sNjtiP22#LlIb_1p^;``b> zQM%qJ%la8h9H+xF6IVLCGE;Tx1nC=-SyGPi#aa0{)4TEQUGA09sqTbuzb$cU=j+dY z>7fM#0#C03B03qm<%B=Xq#YQ@KNzG{PHLa9M%{!NBNt(`qIV3+=yy2BCYI+*9i^Jf z35(XLt~7?x1}XrV?nhnfL_7@)L=LJ$pUbEhlt@)cXmaF4C%S4RsUX7b%FQ{Ni#CIu z4bk8uft)3Mn?x)t6PKOLP3@H@7y;2qu8I@WocCj=lZ(9-|6lL?#gE@13LAqKHD}#U zdal)JwbYa4$xMtMtm7^>LGa-=myz`x8I@|2tHAl6-oc%Ru;tL>URX>6jiGvr_a%y8 zo_@+gm4A6oji}0lIvzr->>#?ik~HKy~|xjj!d2z0cA9Je)p)B|W!ZA^vA?Faija6VQbZ?p*`fagq0vKq%gi zp4)gR$WUvuHwKQC$^;SL$FHO&1Hh1b)BJTN%81KyiM@Yy7bG30@)#;Z<_~p27w3x) z+1H{Ed0wD}Ii(rTM1&ekyH4z@P7WPqEWc6^2z`A?uhS}HdI`G3sO#|8U%C7E8l5g<+Etlyc8WygX`qXM{b+SQ%H?4-leAnL$YdVefXT53OuI) zZeU@SQpTzW)-K?TU`YIFA3{q!=wi7HxMyWI`Y)r0WqF!TV8)?V>ZFyLj8wzHWALYF zf)w;JsZy`6OD~gH| zLTlnu7-c>W|B=9F-A%HV_s%7)8e%3U;#5PJ6JeegK|=bA3b|XO7aGel?%vOL;&#dk zY-o%{jFsV@>KC6o?aYXcJ501XLu#MvC7M^W3Op66Hz&lkUk$C$2oD!e9W!=;8?NOM zLzcc?Sc!E7ihMc`_>orKny$c!+Eof1b_DL3PlC}buIwwm_B){&vFAlKoWt&trkHf? zPQIqFWw2wDrwN%=Hu*sRIGmp!g+W}m_#GO;wovn04I4hX63Ja~o8@aDRp~lMs!?qL zLIRwMu>a zM|K9y)Isw8wJ}1(J1^Ec5c>+Q{~-ad(B;&5_X` zP)Y|;)P)<5sXp*SBd!8fgJ0Sav`n3xR_`W@dhP76MD|0=zg0o9;2gonBil zx*n&MlY#i)k%BJ9tV5FJdE{yS#O>q6Q(_3ORm6BiNTYRBA_tJo^#V_38g)=QYkcYx zBXSjSnMiVnFlol<@L|y?OR2dg$~LvUO>CXjI5$-tB#?;qMV}TvJS?ALFJ1ZAn6Pn# zNCNz0zPHsd5s4_f_u`_8$U_`}7d_@DGbt`r`)Ow|n_A*tB0@E>+?z$P(CBE~)PPPW z?sPOXLS8b9mQ0pEW$0J()Je|XHbyiU6CFfetc@q%K?0D)1fJ~z^-E^>ZM4+Bo&Rk; zT0Z9M?6cP`(KNAR^xYE>%*dkCZIU`g{Nye0!XLv^nApv1DaraBS=l{nl>5uz zcaf(Su9>({;bRX!fj$RjR*BFQTnD#OV33o*AU$=9V#5dA&V9bT%u!Aw!Z~tOpKqoh zvQ}Q57$e*IgE=OmN#sowyjISa@C0qmD>nnptZVx*Ax3=*BkABIC&twMOVv$>d1P$k z&Ym*Gw;p%FE`6pObUHl;#y@C8*SnUB|0C(FqT+0tEj+lpYjB4^aCZ$5+#P}qt_kk$ z?(XjH?k>TCy9WtD|Mxp*?s5T(mFZPoy=(8MD9MCf>9koT=t!&0TL3!9(R2i#skR;6 z*TZ{ANpGeBVA6QY(i3UN!MgMvoRPnODu|rdm4vy7%M#o6jGt7|gG*gF4k3 zfSf%sTzY>uD;%0hjnA#alP*sx$I$=HR9g;qR&2$%gjzP_Dbv z&?W=oAb`S`pB4qr4Dfw?s{V?=>FCRJe8Hco%sp;9+w-WqMz*sr@cDPTVK}TuMKXiG zN*=szgBvSes4bWJMq>z*Go5w!_<2f=HN=TL*#taO--~wL08OGS6QRd@@aR_-4{Uk- z8)ByXIwGz4of-|sUuJNJGk9@gNggf};;LOdHUDIcGXq zAS#=~L)@oY|6$^D<^CdYX+$kSgP5yWN|jWk%A+f9L0dsrmQ%#zPs95?eB40YHQP>y zRL{A}L!Dv`?pAvuz-DPpHdHyi8;n36+DuT7+EzyO&>6P>#l<2}ZKoj3vsGhEY|TyPTB|O$V!#TeWV+bXKM1W- zw^o1osi0D<6@NZo{k+%N#u+BNy4yLv>97Nvv)A)fZoiiJhAAY*BdEH2YcrG)p&_f& z3sP3G9Y4cuEYHJMm-nRjoEF>DiRt%lQ&+vU`kPd^uE?_zS`SUmhb%qdcMl01{2jy+ zo=t&sNKS`E&5es$xJ(}}!Al+lm=!~43ir{6{PdOxf`%VVKvm?d&lioeK%4LG=;-+4 zN7=1PymmarI#=%O-@kvgIYT@E0cjZW>T~K>iQ%cTMUtl$TOS&dcc zrk6)%tP-#4Ejxai95bjlc}lZ|CK=yo?%rNMExBoekmSbWaqu?~(sc+ZotVUIMgK8EiCk)uU~KBkWU)}YI80f#KYyIUXxRYSY`RuB|yd8lq4;9DxvUJ>W*5Lq8=Uyg(73=)aUMo&u&?;0Yq2)zaFUS@Q3G z@mqDDP>z;}kKWAPPJf_YjU?>=zp(IsYg>PN|J7fL!N}9t8;K?YxLknY%p%4#3Rv$5 zy0j#Mk4$ul?-e>wBxHtP@RN{N zSbQjSb8oM`Ij|)%#kH7k<^B0@Tb`VST<&h!=0D>%bp>aRZwflAspY!kh#{v;66ssk zmv4qNGWH61XF5h9POo(EY4h)A={Dd+Xdu+bqgFT{262-9biK^^oX^9y{++2${WhYw z)(m1!;_t-m4|y0~FHaGY6LDZ0%&wA*w1bGCm@W{|J2el7MUf_x`Z`9v6qVd3`h@p8 zOKp0gyC^=*5E0BFg8u~30hQOz;8>n~C5=#UokFr&Luwp;8CVfS-=5Z@-^N|wOAT1<2OtWNDGm1apFhE%sn?KXucubfauhybyRY8>7 zYqB+YD;@Ly+V7IpOfA4+b9oM%z6OoU^Lp08?T8uDM8hbW*ISTI)+25gXcnG61|f~7 zhErX!t>pipB~Aye-9U6*OifHVq@+x zI})8Wo*yAJ!_Xq&f1*?l%So%YstV8+qJLANpp(vIrFfEwn*jT4)=SeP3Mq}t;E>Z; z2>GoRGX^Ms1IP-?Rwl!U3_!YTRAIT?-P||;a}rxy`Wz8}!oA)X!;TCk4^5L4v=6I2 zAfZYs25f+lngp~E$7+23NsE)G>)+k~!TbePqD%nDGvL8MLq+Wq%$H(gdn4DAj*8#D zy1vfM$r0o6@76C(9?As>*WbQ}_N&xUa&rh)&F>lf6BCb5cw+_tW1|^~1IqRLZy1jzv=D zN`ntbU80X2lnLg!4Qpke(-A<#LVjO|%*HTJ+v&Nb_YxdVx(HyUt?Zauf9p6(_Nk#v zcxzQKQurHmo0H4+`@KZ3d$)&C5ygJfnrQIB9lm{FhcVNB5Oqc)UAi5 zIL#oBL@A;iSTj8A&R<@>7tj0Yg@&c5C3mGu2Ij zI}o!vZVs07q*P4=PheBJ3Q~oOiVEASKkj4k;T^hN5R&i>pz7DR=jnpk?WbXdsSj0@ zugtlO{cUn0P`s3&6w4%}Z7V1PTaKAIy1e&sQUaqX` zQ}QEtTPS*;Qhi&NKbD)&0Vo{_FBJ~ci}edLXUEzXToW5jlU_zvoS!BNnrh1Z3z63a zQWw|Hwwq&`L0@kPX_{I5`8e*X2Gzbm2bv5}fVb@uglPxU>goE}^`DVgi zI$j*6xW}kzSKPu&_|cP2_!GkzB);?jX^k8O~HZF^<}d95+hW0g5JXyv{!fLkfU z2?qyu@;jiC-tu3#Gqa3@)GRdJ>KldeMq^LB-MkO^WXP|kS!es=jri$nK%*k)}fBq zldp)Sx#^&}bTNo;`IbY*X@%?nVE^Rg1i+fj-B*_I7IP3rKmPq&YuFpJpavoP8sUpj zXbc-nL0lgC;TV@=EVktl*oUc5pimdzd0stTH-4b9;hD_h(Vl04>GG?$ z&bVw@i6yKEd1F09t!ouYDPVJ5ri_EG{zg_L_3*J?Ddtrbr4~g=@p?TDhFO`EwV!|{ z1c{3>S=@;@QLic1gN9s_#(Y9YLuojVgm|6As%}DE5UDKUu!Eagy#CjD__ZdrH5Pfy zd$l7Py$t4E!2k_zan?q3%N1E@MAbBTlL+S#o%(XE9!^EvIn~5U43c*0g$;ej1%J4Y zLS8kBx68;{j)&ISaJhVd?WE-QxZvpWJ|$r@(VK%c(amOOU7~95rG?G)eOTjhrrsR- zt1vnPhxSnZj#FpB1<^%?it|M5aLV-Hq+q9?6qBM9|Arq|lV{D#kP8QADiX8G=Wqtt zmSFO*NFq=chaBP~jVH2a5XnUvW0JFm9CTu-Fb7!ces_0wA3FUT#sgNg>j4gI6KfOR zuFMHRUOg&6gRXw^4Z$oB!C|p0*|c^i`h?KK_uwL)8K|-K|2DuUoVoPE=^xphot;K} zJ2ZgmGQcK6rl==330$v`;@j8O~lRfUD2u_u_lrLM#bpI z{mDEaKtwt65MNzf+$(IZra0j+Mv0!gM)GcRy>u{bW;WLffo>JKjixPpdV z__C+Xf%P4ZiyYhUkF5kR;RY89i^L=((W9n%iKq`y?ffV7g0fRgsSYU`bWDLK;>Z3H z2$(!7v2|L?@YCk(FmvcKRVr;Idrl%wa~vo!f~+M(5$f+r>sQr^^%H-pQH&e)sH#Hj ze`oZUEHF$s6=eCi-4(>oCk4d4(UEAH2H==~%PnBq2@%PSXi}m=k+|eoTP7CKquWQv zED1L-(9VjYPpd~{v}PDamuvi`Pyjt4JfooJ7}cyGj!nWV1TCIz_LXx2+6@u0T_B0A z>|)55Gf>EKIp1mVnyR+LHW~ixMep9rWh6V7F<`GuDvi|)F?;fxZ}gV8tYIV89F+0x+% zjaIKLiGpBBqZO-SGKI5H;Q3o+qGXp}A~?rPx-~|l`(@<2p|P_Qi3H1(3n*=s z>ssF{l>B_?XnTxEWvSyxxMxi2l~V1b1wIM<=u01XCP0Sed9QD6J%+x>wXJBSI<{0| znO-s^5j721sJN5x|5MmwSewvb6k@?3(aNr(x)ph`lCSO_US*%wg6>=XTHPq=SZT0` z_ll?;`6BsK!V-L##`iC>vdo#qVE6v68MH*73d*j;V_`jW^BI=mI|MNCv-$z_Ri) z^BeLe&P4?T*x?mEViBK`@$y&B-j!hiSND5EF_qF@cQ9q-M(jRu%nU;syik~2BitFT+Dy_9-W*m&1iZ3x^A}Vdh zVn*eY@VaWtHcH9l5pMWo36+>dOA7JX_mM27&`8nmGWwEP`~qNfNNH#>qR7!bZoSBr zD!j}jYj}o0SI4tn#`d6im<2k*N+Uf!RJF53E*bPd_MUoTO!ZtT?)Q8+=b(V^juaXQ z*dFulLPexr!zW{n3>d<$5N*7ddK+}adSt~xCxi~=oa`MTfIUbbhF!k@>Wak-A7v;U z-`f)H2f7)Nr-xzfFlIygrF)T|GY4txPXxR%NP)1bwy*8R?%+%`L$6zylxZNwY0ofL zF!(HmDVDbqPRq@Q^;7S-HU_Z0ls<$b<$%o<%xmc0D>)1mAiP)Y+cB$bD_yRC^7>Ua zu}pK8|4!(*b#&)61GS3kRcy1vN2^oayM8sS1l2LrE2+rccuV|%I9Z=&D!yOLedj1{ z0^B>E!{r^5yn{C$KxRt|GRh?1@0oE6t{if+=tIzpPn0;*2}%SWVjfBat9mF*q!=Ba ztQfQgjw{eJL;k@gCTSL|p|d7g=@gNKL|DDNHEh5%InBgj($*b4^lRCgZ%!bli_h}w zyPWMOSKjhVT9V-(rLR$bu^lLu9$^S&3zXN!iFxl9^-l<0a9==gJmRv1BiM1MHT7pt z65q5no5zz4V(=K$R3Ndb>JNz-VJJ|OZld>)0oYDqOu*Jm{)$HYjdtb}A8}ziIOEs2 zzBN_RWz{y?1j+9+jG^wGCMDE^+ivlN?5xk4$NBn`nwOJbNSY@0{te<{QvNa2Pw@`K z8g89Hk=f$>`%hg;cP+$M?W}q$wdpX+gj42Ad={T$>LjvSjA@x#@IP5J@r@T5 zYL;r2V=qTX(E-IT;7bty1*BP&5;jWKP!c9FfFFM$d(uTxMzTG&Im#0Lc)bI#sxObW zKh7uz0ndgd$H4qA!0PFQwS2<(@Z-ycCh_Sf1R1gU~p8X?tM0 ztroW!${aSfp_1d8mx-J+*pM16g|V zpEjyfc`H;P{5g;7u|x9vS_G5F6XXZ)8)9h^t;frYk1V2^Hsw{1ErVwD)A~N+wndV~ZKx2R>R^zVLQx|7@KiVn{UCTNz4?svVTp zs|YA%mQC9zrT($7q5M^$%sH<-t3$ekwd1RDz@T0vmU1Es(_-329HsC^E>H@+2%1uw zWh|rihAt{JXLBW4JLt_)RcB2^akfd^G#OD+G@H%$cGgB0#FfVR%*ln}tCCF(=g%yE z*;w%^JD99OTdlf3R!NzZQ5t*0Ycf%h98FI$Yg_9snad=A+o&FQM`cDNo3(eA01XuJlb&X{e35@k-pE|XV^LdupD{m?XoHwP zY8T_%Zu2fhaR@$7*lDE+VvHn&F;r$3vsI)kw+cmQXh4~d0#<8Ep$Z*B`so?ov)1FR z!#qSUs0{V(wt`fanpZcsep>zUmOBMzNl&N1+Nc#N9fsMox%!@NVllu|yt%%<_h5X& z1MTPW$d3o*>vTBkBnS5aX+3-FoYU-@r_J3Q-ZLnNUW5)gmef-1mb&MxTJW!4izDIp z7tsMwLdsbc?+65*@5$I1{R>}WW%pI*i@N~nT@1Wy`6_ozt$zI(pKHT)586Y;&h+&3 zj82xdxd7>+dK-<4sDw}vT~8k8gOsvX8S2UE(l1A>N||n)`2ZBvNDW%;9uudBp7m2O z4#*)77r_MrEQWS}Bai8NlTU}%W}8>Ny}1dHdkVS3(*5VIFE7bq1HxMXJA)mszk-PA z;h!@@E&Ly{)i{1JEo}J8a#p^+xe!tqrE9}gtn7jvB64yEat>K?@kruXz(#? zLWEO_f6)loTOly%KF_&9kK7>6SNGG`BbDx$`!MVruPR(lmUgkeOS z#y}+e#eW~rkkXRQytLy!cFn4U{yCM(fO{y|>{7H#w8~`sb@H!bVeKYg6IMP>f8t8Q zP-DOWK7EU~nLZ9@6q)2oR(k>j@hu9D)AD6uh9YBxY%69}q^euO5AQjv37nMWBJo`s z%}$YQwo$#qK|R!)wv>}A2VpCH#efCFwe6Wyxlb;)JlajpROgOmp)>1PmtVlKZ8JDz z3=WzI8XJMt6QYX4ADNk{GTrf!U*sPr0WDJAB-u>%;tMx+?;h2N$@k`h>M35~pMR)u zzu~}YnAdp;M(3FpP)@;VrP*(`u@Oe28vv2qlmBMrQTYFW3kV21KJ7(*HcBN$4FyJn z{^{L!GyMOVOiA`zmuAZ|Qlmxo zJ7M`0e5FFiQ*qj^XGFwZW{t_t)t`bmQxYp@2PSiRjFCjLS*LHLr(izatp#}r{QLtg z^-GVUBp7oXz%hz&k+n|^>xWjse1$&2aywSjLk`CrlNO)f(s85_0tRu#?K=-^HZ9%V z3XPn?(5|SGF62GXAzT9#IhlRnuE~MH9ebk6aZfZJQI?{)kY;bH0+5yegA3XFUjO8(IuP? z1}CCj$AvZNW^CHcPj;X_Yq{ zL9c7E6_ggu2Jz6;KyyA+v8`K^)@avVcV@hYO?BU#N4s^Sc>RLIH^*(q0;?Zt$I%_} zb}D+LmyzI#n2>Qkm*B-SNuQN=tY!$Nd|0dw9lcAPlD%s>bCoN?lnZOeNEA5xxail+ z4b~R#4PY4+r)Wo(2uPNj&QvRt!wPP#2yn6g$UiUAkfcOCyyvQoJXVC@#aI!wVaHb>k~1kcNjhpK+jdT;*l?Z zoq6jxGE46k+PtZ~jqoEvh2ZF1#sL!Q+6-Y7e6 zHLalT5)y^VN&r#R38HVZ#o#=wn$*5K2PYfwK!9Ye5S96H1#tu%>iS~>vMT=GD1Wb6 z{r0DS$eO@3XoOHqSd{lIU~I&sJ>dQ3Chm#o(jScxjiB~`)syLXw~Ur@uQdQwe~xrH zJzi=qAx^I0@w*^u;w?0cnhUVP2{~%IqiWJZlTD6gT*A8HOaSXoS;Oc$QQB{%m{u5B zqun~2AauK}4oOO6qElAEJfZ^dV44VHP|8J~E+s@#gXLOvL~_#5aJu(yZ&yPfgKi>1 zTmRRG)G{n1OB;TDONx)0(Yf`_0R%3u^dV~cumHWvlLHE`TI$M669v-%kRvmD>mdt_ zGn2G(A>-P#%+(iohsWxwZ*UEnPSH@{+VluqB8m6*0?66u(t!P$sVXsxIh3%kqViG? zFCD?pRTo^?j`P!2Td+M*CbffUWetIIxw`lk-42!!2N{puRDXl5it~5upW~qCk#01Y zlsvgVJKzQrXt(l?=Grj__V3)^W2b_EImqSp^~ZDVM+Xl0F86gjH%f{Uy3B9--_z66 z&JGA3f9!NTkyc@Gv&WmL0CEH1xDp};!&UnLDu7e_YxMS0^tI35&beN(-Ra8yh9K7? z$dxsTOu%vJG$Z`fj|QyE07|Jz6z~!R{N*WeYJ07J#GuOlK^*06`5tGx^L($Dcx^iK zDMKFsmM6L10(u5Ttj_S3#vj1bL-tKLG$l=Ht~|XL~!k{1&vavm3!on15)B zMO&fP&HuRnS?Qc1&t}SN@Kep;@IC+$l+i|pzX@_D*fZ>Nk+6UYk{eD9VR>m2#-G)0 zqSUip;wnGKUhHeV#W(DaM~t2`^gxIvkHIm&8B_)>_DSFz+IW& zK1qUGQ~|vc<85`Z|9I*IVOyOB29hZft;A|%bj?vRHw#%oNVovKxvs-#x^nW|v)P)A4b&-$#<8nTSE(LCL~ zN`LY)WP8B3OdKqpy>T4n>{wc_*o z1SkRKe~k~+o@J*ou1wq+p+CfEfpaf1-p(T+QVwv7KM8t37jS1z-z-c4mF=RNSaA8- zT@j)c_WAw&<+?MAP|5!eY#Y!w^%QPV?==6H(hvIR3Q#|vlMVmj$S@Hz-Vi=3&=bV& zMHyd`Xu6M@eYdUzOdTds($dnR#MB<<7Tlf1l-72Jb*;^Mn%+6-k%^ zZmj!f2A8vFd;HQ~t0Y`#~Nt+0^%S|<3!^jNe zCx>aei!jVT%_AZiJNzWRA?qX@ardDDyJP8$qip}H&{ z3M9CirnV7F59kpc*;-!eES}`;i$4!&ZD5IjBnxD$XlY%Yn3by;pddR^))JW==rQ4v zc>_c*BSyd(W+`AZ>HD_oJFR1c0{Zsv%Ds0oei#2J3j-B1=LEn}v>C5P;Jv)RzXPP$ z-e=8^3B*$()X*+Akqx(($IHY-EC=*Day^UiMyxCvEe+Es;P=uO17jj&B=6jv?byUo zfYD}ZYHDE-DhOGsTgYDH4kv}&e79ou4vqS9GEbQXnU|m%GC)1gfwIH&ZqVsgU5g@| zctBTlj;(ry`DfK@;os+hEuQr;l2kc8M0qUaFKwH)3NJX%onQE^#+-{d?+GX-0Du8k z@MK{UdNg2H$2LzAQuRCuqU#bzA{cm`t11>MV-GvZ!?h!Pv}AZ>Xzom`vtmZJOGQP1i_^$ww8= zKjqE1Qbb5=olC0`1b7GpaLq$-;krreip7(9$;352sg7NStWER7UMQ0kNKLqPq)$ zDngjNJU6p>U2=K~s0lnYzclEnL-OT^>1Dp-3_?Q0Bg zF}9**jUC;rx=G+X73v>=u~ePE6dVMX)<&Bst7@{M?F)$UBRdHrH$Vmu825ebetO@v ze_OGSw|2aG;@v1=ZgrCM-r|bsT6~E!CnY8Qa>ZYM;?&;dd^|HhAK&=eMJDT6YU0-2 z%i`VB^x7ja%Z7?!XVy4z8CtxYYVEqBjy3yin3H_{HLT~vfFWOZ5%f14)gIjzK1%It zJD-&TZ#Kd?Ft)5O-)(nzbyj;zC`pw9Ddh!H7a(3RJuOGnko?e;bz|}oGKURD-1))8 zJxtZUf@hGgks?H*Wf~=5Q(2$VC*6C)^pdj zDU$>`9A_Et24ffrGZ5LkW=B5w1^$? z8})kEs-h8H4qY9U%tZ{i>IwP10Q0RC^;|abp#+cO(JpEmfcU^xl<6lud_4V@2+!4i z`L-z|K^FYohU;q!!)B?gvWSLUQ5mwzYRg{u(td8@P%G^tPv1=?S)F=nx(^O@UnL_0 zJglq2_jFhx+H;NHmN8JIet3|)K9Cn@1nCn<@KPM+R#4gEMf_1yq z94KBFwCfO&%=^!;`qyt++FZy*s$qoxHg4({LP z1C)rYJ3K?Lem{nKi4eBNOm2If7Z&pSu)g5Jw^ZMMsk|0L^SwY`4p6Cj08Y9hH5K~P z?YWn~T0xEH->dXBATJ;+3^!2<(>GDw4VYwoV}6pmMhs_iB*#swsVfZ!a-tm~4cL@T zYoiRTw~)neqQ7SJ7MuY!PC^`!+R^~txL#}O*m(rwSt_9h?r}0&0PAp>&!#sfoKli`cHG8xn$oiU2u*}bpT8D%^84;{kcJ4{{4k=h;Ob){8(Gt3?dsy2^o=_Up5G#RlVvaqHjm|%Q z06R7Tj@}8TocUmM{KOil&xH!)vJ{z+C_!)*^%_S-N3OxjWQQG@i8&R@x2oR0!!**? z+6wpawPLNR%3Q>j0eOd3jt+_wN(zdJpjG&b@(SeO9GkS&l#wK|>ZTF(lO|p0t`cV{ zf@8mtt%&K^I1mVbq01}4`db@--&1~Sgj>nMODr8FUL=x!V)$+HRx^NTwStMyO0wXJ zu~bt-t@MJb>3eua3q$J>(Ph=3uWK=2)pBKS5e$2>rTe|Bxhp6i^rD#8fa$>qZ*r7& za_?xPewlH|n~@asu_@ZsHiqS`k6Cx!;z&?H`MMB zy#Ftx!>b3_X9;toDBg5iN4AkyiMkXR0mAkK$jRXWM?*?Mz9P<7|LJr}vU-5Kw?y$A z(GQ+aO3c9RC?jTHjQM%f+AlrJmv`Tn09gyr zL*JfVdDLz~=%W~RP3CelW+Xt!yLx>kuFx8t@0oDu_OPlmC+1(=AC2`@RQTD0 z9g%@@LNFp71`+6_k6}+i#Tbwqjw1utnhR8eJU1`+MB*?_rWSjTqqxjH%_lJA7d}HR zjff!1NlTHL_V`Muw4Z$0Bmd!d)jpXAOEUMmqgOHK*E(>`YYUMT!OT z?qcWsI|85!=2O7YeA=lAM#HjMc{A%IMQ&TO!<~gvzt*GF z+o?N9ji;*u(T7k=R7V7e$7fPH&jMr!y`gzE(R&T7ScWI;N+NlaieN&{FuS#C;>A|s z(M2USsXb^~7+9|=^w?@pj*f}D0b?jMYaZ>l8Q^vH13=N36T~2x@GW{c0A5ciV81+3 zSA9LiH+c^FZmR`^!<`cgLvP{a9hHM#Hyd!|%NJ zyHmWBzdvqo9cKtcx&DiK$|wM1;h>&Rs}cF18Qc5u!eMs-tc}S#Fmg@ z?TtriWd8Bi`|%eYQanDyB;E%Ih-y$yBZ*?tU{i(tR??7B#SMDg~_cnRhG4#Z0% zsMz`W_$DsdmGLkCbDlnk=_fu1h4wfjdAA^Wn;X{1gw?#)sw6MPyygqa(F0LD|MPm| zsc3ga1cP&ag9 zbP;3C`q#;fEcy&U=?Z5CvG^YXZ(YDSXyks_f71=HEZ_+cQoW_3`@V%`o@VL(_IbGk z&{8|y5l0G(eu#tHG{r7}&l?M;VUL$1kVRH$1k0_^%*2~jIO~4-CU34)yI$znDFP2* zB$x*B_NJiPaVp{H*6l);nE+)OgD zT>lG^ld4mtnp{<31xMEbu`EnQC9~ot=0Svh$Q_H2`YG1+)Ka{7+Eq}cCXbW^(X5bo zbp_)nR4!pfN#0hf`k!0y(4#Se#o}B^gTobefibFUQX&x;zHEQOj>?raebE@K@AI0{ zSmm5w*5v%F*((_S)tX*Yd!PDcQoVvg;|h@_Y2CtVg}t#y?K3iXF?Ta1yXo`PpyAeg z!($g~BO_L1`Z_K%Z7O5Iy{-~$4pfK^dFyQcf<3fhIdKd!@KzD&&P%kbRbHL>LhxOZ zzhFRM;3bV93GZxbP(oOi$_VLE(e#Ng4C*KS$P-|i!sB4ari9(LtfMS_e+3em&NIEQ zlfA@Z_|a0pmTP>vA>L-OwKOf8nSZ^nsULs%d++%9O69ic`jm2)+cCo|mq!W7rGbzf zAb?sEK17$!*dDf67;;V59VyU~7^o&8{ZRMKbPge9$1Bt}^nVaL%&5&y&Ee-IFt67F z)Y3j|jaI{Qh3s7wu~l9_PUU9n3F~Z1bffMst3}6T1D`!TB%whnEJGat%L#A~h8-&D zF!U_B1RSgcz)~X>cDxH9=^4 z8+OWp_yS`1uB7ZFBr!F|wIet^O+#Bl)`Fp%C@9Vq*Z>{Mag!MFhYq6QKMEQXC@2R% zeXe+2ZJ~r1Ls%KtDK0*GNiqH=y^sDa&J|@sVc}|!ZWOA?@T~912QdIlVteT|QxJRH z>l&h@sD#eh0VjEoAJKnC)?9e{K$ObEWOuN2oX-sFvS2q{m=AO#KdeWWYiDuJJLHW< zXCI2eelc9^rH^Z{%%!!TYxrHcxbULQ3Q0V-+=45@c%x*E00ehod6QT`)N0H40+;T?)#$e zv&F|nt}%tBJ{#MhiRb`K66Y7c1t1jiV{>>|k~01$aL%L)F|LG<2F}4Bt0@5|NF0vy z48pFm!fJNF3dPE7qrrn7gYFO7J|zSlB$_$dwsNY5l_noLvK?mE=ty#=gEdV@Oo8-%5E zF<5Qw`yFE$;6D|JssKJRc;tv1-Tz240s>}J1em%g5B+yyDR7(j(SGz5-W9`G@Te@;)rjn7k z+l=wr6Qa659^Y3?lLUv{O(E#ts5w@+5u;^kKP1Xt%3$YT+J4%&66Z{JYxFZ|j|(vR zn*rS@Ju#sFxygDOef^!42CwhbQg31eyE-F`n={1Ca5+odvm&@s6piVp63dL~^5!2@ zEQg!Z&V@CkJCw!M!tu2oxi_r=`LwRn32Pk zq(GzgHa2tSmSWp3x8NjJTQ|zTC{{!#2Za{MXZfg-u_DiY;v;$EK=ncnwz_<&(DMh> zg9^RAS~B+&LSJ>J0<2x7_?Omr8608*O?|sSR)H>nthS@THUeN-0|Num2Y`|D?k;&b z+~Ey6B*oVwC!sd0450ab(%P%SbCueJ2QW68304ClY{Uw58jbX+)Q8TboC#?SEvlw$U7ai6d54;AkWt$rQWxLkb)y(h zP5!lPtw=OKQDewKN5L2e2BF#X%{sXJy;V~LREC$%UnI6Zlr7Forg;O@2IGj3cE1{L zu1w$^GG7lYh!SfIILXCk$-fDKLc_y4p;2&U8v!m=d`dA1XYf2Z+?KHo#Ul)hcz)SR z911dm=E9B|?j=I2{q}!X`461?`%Ohls%9bjVgS0+-7T1iJ}gSnroBNwFu`nv&#~i~ zMxXgutS`_VG)>%b#Rjno*#G?uug$*XU-@!nLZ|~HmvtPNKUKjdoLmopMf)IF?UUFw zeguAAvvY}&I>;S)Z+9^rzQ3>y)2g1Bqx2+t4|AlK%1f^aSm<%s<JY?j*b3-Ev_=nV~%-ufT-%eegTY+voYcntqsyT8%8S!>$ z`eOU7)7QfMW6$svDVt0M$`-#0pcRFdfr@0PdRmG$>Lmh(oL~+v4t zN4G@|WLeR8CY)K%F@(A-zc*E>1p;G9PP~J6cRSvgs=QkV{Nd*or|op}bIv=t*77np>ow7Zt+J8sCxgp94gCrP-6>xHH`49h;2;L&y}rxzIz zu*j>j*&TN^#I2OHEW_HJ1qv$*Z~aFHR$qO8zE%Mk%Re01$f@GDcUabvAftuJC)YNf zIyt^)K3#6vP7NfqcIJ}3{%pfqZb;$lsv2jkWn0sT!z*XKkl<-fx>SY`bbtkp-T^wm zP@F=Cy20}>(FrR1SOI$gE)?=6u=^A;`8qxbg*lWFsi8lYHsx-DrJdY~5w1~QZgP3j z_WV!h))3)&WR}|B*`CZa6H9X!tRa`XBZVB6zI-Wtg#T^;9v)!x0g(G*8yOrFH`oXu z=-kv1@t0KU|1Cp#>9{jA>5s`zB25#vqwm&oE zzpMI(4ry!=l0ikWtY7$9&%m=$*AUXY?A9?i+^_!S4AvbrV1Zh?@T}+}$NSXGcQX^5 zMp^#mzyt90&o4nW1dkPyu(iP;KThc0DS*a;vF#8a59tG3%4FFY~LJ6Ez-U4J34op@y+%FF9oYX2xGd}^~A%O1B z$=TD)i4)Ju0nYB$mOeb~*!=pCly)QHp{flV;6yh-Lb9x0@Jhx{DcGn4Ff0 zWO<&-xUmN{*9F-a#)G|@X|9tUOMhZ$aHX+JxqA)7s=2;RHooFU%5b9GhSWCcV~5){ z!f=;HBTG+FoDpO~6FLs29)EQ==Mz@U;u1lVyS(fS!FhlhW9Zei(hv|6Yx~pua>3+c ze?q^dsDxC_hYo7WgpbZ+p$5tX;O|6)ffm>SoeiZE+^+x^)C4>u+c%!~$YC*i%;2j) zBqm%7F@*=qP_eseC3`b6cUJZ^@!Rl}(>5vi-JKmH9^&`u?bm7AT(5u=5o>J|#jC~E z-yYy*9q)79ZGZ*z=kv!G=aRh~IgfV$L!qtAzN^WZ+kk732MAhQXhKhZ$|fSyDssL5 zGJDHWqwVy8i1>b7U`+=)B!>ymRJ&hoLY$%wccF{G7u`n)*g7=flT|)p;sRCc3MYPx&<#%V zqNLJWTj5QslYg*Cl_x*rZX@PV?*7iV84C~ zu|Vym#)Hcjm9~T?t03F67y@PCw>+je%U}ztd@}(vdb=9^Os|I|l>5H4Tb$%T%!~J7 zkNZ`VLI~RNwpJF3nhpF3M5cgjYfP59I8uMfIV5%xKk#!2wPHj+5f!gj1(J}l_vb1J z&}-f3(^8D7_v_fleT6-val~)$s40j(Cw5L5`S;y*YSwr8Selw8kx1p1m#w~Msa#^A ze>K9T#;V2`$rZ#qc@cw}hpI@6UJfV6j&{(pHJ9>JP0YcxtoSsoae59WqyVY!IO!R5 z7_K1xvZO$nAMq0v^J|z>FwV_1H8k)v0oUv^1CN(9hh?5Z}T!4;F5|#L8~F=ThgZ>8T|LKy}E!g`OP? zM=AayHA7&Yh)>C)j6m&|AWLV>LWD}#ktbowiVsu)75fL^_vGZ{{OM*y?;G>Lw)~K**@9qe0nSN zEh6M`xc}!BBW}uj3_NK*fW#!wk4FygHO>kl4NHd|tL>kb3V*-9 zAA(E3JBTAE1jigpu1p&9GZ#p(7~d$_lwuvLV~6HFIJ%R*|BtGigS=R+l_FbsSXQJj zWUOK4$)k!K@F#7Kc+~mx`J8Y%g8aPd6W==7Rv#PLtc}Blu}U6E5d!MALSxJ^bc-+{ zhdl%Yn+Q0=s05a8R}KHAMwd#+RrhL;KzH#e=7p)&M;;+0J2Zr}buNqLJFoK4I zOaitWAXp>Lyo~>zu9ar7BPTCCQ$|Yx^lfL-NMv$9v4u!XaR_e#O~sjidwY-+Z~?d{ z>j0v$DXdfX6!bDCVtes<9Tpr&>Z9KLz58=sz`sD@r$FGRiKi(<+-;RYKS77TZ*9Nn zZ^0|P#N55TdF%1}F-%=Z3qQwKh~WpU^fxQ9_^fSh6{|sYq*j!fTnLT40<{keMk;jl z@`{Qd{a5+DeS$m4?~$@xy=WHl#!IV9k?-?Og=RF4uM@?6@#)zQ9qtz#r0W+h?EI}M zU|TcLv2@>p8FX^PoL5HS2eKd&@3ZCe%q!?urL~A`8Cmx&&$IL8V))k5-KI%CH!;rU znd>G``c{c#RAzOGKp6y0Uigrn7UO|>xf#_p`)DWJ0`!yoM519JW-QYI0m{h$DzOdL~*H03LZ zr!uk+>*l@S$FaV`5g-Fw(FvTjI&O}f3HA%E^=p6v;FOS+6FA6`F0b_EeQRT55rshF zU&e5nWkb4gzk46Brq!Dxmdc=;Qmybb$(L{GDY9p1@0f4`g@!3k15$leIX6O}$dTCW z_d(q7h5-gIZIV2n4Cs>>+XFW3WnoX&e%~J}Y8m}fHEn%nWJdGvIZW_5lDsAr*X^%a z-<;p{dZYF}V^{3Mt>o$@Hc?xrYIet@O!>PC^ID|M3Gwv*`PXA_w#lB#_(6SdM#?F= z^jPrlT4jFIfoF2dv6u~BUT%5TbkE}A#Fpg2t7Eap=EO(d;TH2kpi4h^MW{y&_~LAK zBOjRHGY|^s1ece#?uA%*b?MnzS%6vu9ezLTtZK(L2YZqdI%$+zEv2Ba2qYH<_j?VB zHz|J@RnD2CtXM5KEu8odHuG8px%EACthD^8r$ARH6iFbatJt4CX`pTPPYLQ3^0+Uv z$^h_4{+mOuV$>w9iik?rc&TD&n_eqi_uic)5HnR9cNDy!^I>5qv=AO++668~sBtr~!YCuLCOGc;tSb@10wF`OXl6lW zV^H@J0oqv3xEXzdwB2x0rM65dTdG-Zt$9yrGd z!^lauhqGR&GG(2CRezRDQpru4s5hZ9INgMI;xxs-@vG(ab4W0O+M8kHH$}nX9x@(X zVaMp$%Z*K94Zjbx=Q2C?bpdwIryFCIzoaEe4nhnqZ`;2}UxSOiyQMX428Iv z>|;ps9l!oN&Xwks%cnY#l-c2|Q`W-s=GZyM!>sz;lN|-=NGN? zVa6;2Rfs-nrwJg^1El@$j;7}=q3dFh{h|P|j%>QglLBzvlX@MYU(w((qtbDvp>y2; zcEZ8C!9&=0F}gFrDmJ%CSs~6s=$<%97HVg01AZ8OwRkm??TPn`{&w>W)I?s^kvZy}&hXc!t3r=SNgjVm#xM+XYip?iczY zUz;f1W(7YANwKs=`-46+M${^GtylpvOC8XA^YZEilIcdf+n4mfRP03HAh_~gJYEuVdxP2{_^C! zapSz3T=12Un7tSj8>_F%j8}oAX|T9>33zx_N5b8p!s)zl$L&O#g(c^3;x&- zPn-w?smcGlED97}5Ojx5ms6;vi`*a9>Q3!s`bC=$#g3SSwQZ1(YFu;Y{fRc0RFq44 z0QQT)!9novz9%a}mnKop7vIcF=oG)6fl=xCW-~?%nL@<(D>iUuoA!_RczcsZ@}he? zGN3j|>l@faU6-ZqyR1Ed+ez0*$7Q)g%DfDPPw;OAK!+&u0*oFdsTj7ul%}4cP4V)7 zSa zx6u#8pBVSsyR}QgQ?pXQy2DQ+6aO&|9Ox4GNQd797lVFe&$Lwq7f1?D|6OkXj}U!t zGFJwsURMEFd}wt)0(y>8 zL@ffMH$9J~u2r{jO?a;3Ap&oAM7>uA9e>jatum~={NA*ukF&>!*x5QQQaqtv35eWs(SF{5@CmWYKwOCi2DSg&A+!nu1g zFYG@nDYH?|8%{rU81th;E8+OPs$)Z{;V1sz#=)UZXEOMj#)gzoz|@R+9(Zy`HofiEi<5ymoN)mxgHMDr}Q zO9=k~6FK;S1aiX5p_&hFl)iU+h2SQO>bzC`i)oB%WyCSV5x4LhEEG)~ipa4%Y+)aP zR57ia;v)U-?aHfPH~89cX}ICBg&TRWBmjjB_;k&%IAGAjdw%r zJC*gXx7KRj;5CWrF{LZ3q(Ib{TGy>=@*gMfbi4JC%z4vb5)cIId(C%7o3KB`asltRKaK9 zJisv*Yn6aq1BGWlW!*|gKsgyTXB%<182Ci4Y&!o2lM2JsNJs|fihLudlmt&CJ%O1Z z;bbyr2ri{k_h4j@|FpSHI*se*x#lldhBe(pS!6#VXN`G?}EmG9tWx66(s!zD(eUA{OM<{Lv2>h-rbn37A_POPP~qC zuo5_(Wrkx0Ef3?aI$gs*S5RQe5z<5%)lyu>z-s}#-y15?Q?LpEtMBKZ*)^~R z+2hiJ0-g;f<0i&?m)|Dl*GAakV>k*X9QnM#wf`*w(>`2wm@TzK9ve^1D&&;R+E zjp#*Lc6<;L5dnOoDi7-8*oa*fUx$ywWBk4C0~y^~+Q~ye`N;4d+Zb}N+a-uhqK+C? zvXY5$+Vn>bj;(26{nm28CkmDOshf*tLE@_JW0GiJlAeW`ds=MwmySEmt-ula%qBQ{ z#&EDjSU1E=sf)K%;po3zt{9#!F~9fP?}?%Znt1R~YOMP!TY~F|hpOw0kdw(oHg~w- z9BYW^U?_0=T8a1iwjn>#n{eP%+7S8K)TAC}7kPGJ>O+n*NX5M;>bMtq+*1LrkP8kAcL3@bH0wD><+uFC5R6o+2}ngMDk?7y zQnKghfluiUzvOHR??nUJD3&F8vkQZXv$+TDcJ0~JdO+UhnVk^5q$bUQXI-6;TtVXF zZ#1u5Jwm492wls!kB9fc7hk@SZtwT2@a@}KpzLb;)eFPL6mTO2Fu9*k1%qN2bn&RC zA&XWkUlv?KSpVs30kqy6D>viml6l*Ljo^Fk@bkbAe{rSZR_YvjRax?pcyFpju ziezlShgae-tgy7w6Llc=0@xtc)z$jtCb>XE&7DL^c8t@_?NY5ckY@nXywhyFx`E#G z8buQXCOzUJTqd9gBxU6msXdE1`UNM%9ADL}vc2Rvy!{)QOsYE&b5> zk?PPP)`jC(XO2ke_&2MFTC^0bidH|DHeb_;XxpX3H^b-))w&5M7ilWIZ~E~+WQR!j z{biM_Gx|TmtWykm5{`ro`;T1|A4TCycIhTX30%048SyUPrAIvyum+Hs5|+OgtOy3! zNvlVF>c8PPpoLsT_|^=VX`aMqR(sKga!APm52lgs^_Ro@)o0;NCec^G9vaALqI3^E z-*%2jw}Gamy?RU+0leM3L{W#i*ct~mc9V=_FQu2o*~M;LNAY=?+(GMMRhGf~V;y_5 z-OW4AC+@vgFZIQf^Q4KnycW|Yf!|s)3;}DQXg2@hFv#w1G24)6;Q7tXa7TO}htxhT z4p^00dIs!fJ+#ZS8vVMMLWddm!dnL+vDI56!X+Ta_Ur&3{O<*(zZVx5pxx<32msim zmjFjzqVU}=wF!!eah1^$(dn4L3H@VxQxh1nz!*LO55MK7`ZWWHWMI?+{+ci`)2!;1 zGEx&EK|!!=1}M!d5E{x5ORtv4#>OV@2xUealWo?;pCEE1T=DfM&z26(6E)$Z|C_{e z9&pP0D_o#cyqRZ;ohteZ3aql^iW#*3Pl**R=q4S zM70fRQR`i2RL7EEU{4!$q?Htz^yAN_y;fwps%elmbfQwDEhE;$LaY5wUnrI4EMi08 zaL)`4Y9T27k$weCFd7IWr@p#?>pd^q+4=g;~hdpdmmft-%N`VjcYwv zjcfxi%nP^QWGvv_I@Y2#YBy0y>{_#b%p}}Uak&RIjqQV->7=d6A1?FqXnVIYp2Veq zm!K?zV#-GJ0A?R0h5+&nqkgNG4N{6+{>n`$51?socQBc@X>(~gGR52U30 zObaBO;&=@DA71b+rpC+!FQiV-F8LqG*lg$~IweT2KB50di?ZB$(h;R1>MY^(xtFGu z%Ob~-KHk-UeNB=%y14A17h7axJMjt}qvqU9p?1gJDiP4tBYQW zCr7Y3mK$%1y}?%#cvV653k3tzKmnqSUUCqJXA{6f%-0xdnuArs3ir%(g27tVvUBs& z;$rS-9I64F;wvOrXFl6QB5M0yv4mfn?B?))_J9@|_8*H*DSn64gMcMY*Sx?()UtRL zia~ZDwvfBxRRjwBxa8Y%7(?rea&e4kAv~jA9F?_vqbDr26d0_B(n5?%ar8gent{su zjgf3Oq@}UXVqB#1LbuYx@8q-!r2dNO>RoFtenqbM#{H;OQY_SZL6Y2-PvA)s$>m1lT zUJK{MqcP|7g$b&&d)T~;BI@>Kx98U*o4u@rTyYc0R3SP$y!e?D2?o;Y9kg*t2g04V zNK!{RynIxpmSuW=yVR_`FFnCsS>N^pG*XL7Z)EVC@)S4rmK!wA*c?O_AGaBvjZxK_;WDe_x5Dl}yD!6U0{jC0!@QlQI!PDQH7ywSqv`5h`0VPQ4rm`?dZ zigtp1$DuLTsgijxsn-BhpnT;V0f+W$!uVSF z{v2$W_?=jO;zhJNGG6(pnF1(%FW<6w^VBbi*n6}XlZm1|LFZ-aj=8Mdx z_#%~2e)t3d?jKn%h!a9xF+^3i+Q(ma5`Uo2{5QUDIkM8LBn|&+YNqB)-BPS0_}0Tu zRuoBp;r-;dV?FF(s~V)F{G4k~^3VzFlVk#}evdj^h0U7=H3#iGO&=e?cQ~&|rVEtb zyq&OS`J+FWXaHXUi6tX-=~1e)*I?s#{Phc|7(o_Cc%4NxQ<~?iojZC5IhubwI3qL~ znu$6n+Y6m7`Ax+%K0coS3mWRcD8oQu#}>lmb+dSxmE5U%jN0QbhlgL+9oIq`ugQcW zB|tER4Lz%vvH>Ds<;~pKKuwRx>HoX;o`Tg$js`8b?)*HQ=~)YxSxT@4irm1b&Hf7< z@&}O|q7)K?N4+A7a)P-{NV`d|Tg9xR&j ze=#h4wU(lOEWVZT1={KQ?(J(ji7p}<<7DWrE}h5&Bkmk}8W?=XQ(VnOk)PX7d`_lS zM7Y{=70-d^%?n&e9W2pt=B{*q->`|kzNk-Zc%G)*TNFu}-PBkuRMJ~v%9H?KOiFX4 zZ*`x$iFZvq2FW%0p`6_@Fr#)Q}nXPpR!knb5NRy@8$}5Qd%}@4;-g?U{r2)7Rqt zgm;iKbQ*KW1#mIMOO&=LOIgS%uhuCc2;+Is$#YW7Y2M&Ix2MzG-1t3RIO)%+ zcklY!?QhQU0aZW4d4B!*;)agXFa#g`x`OpVemioh;TFnYKCBR*Qr@m{^UJhPxxU3W zKX+~r|6+0CinDmmh^`-7Du{exOpx?k^|*aX?-Mz`PFNCTIFG5;=u><=0r$@Jdq z|0raR`8cS8K`B&Y<3KHhDi|z`L0icWqs?a08Hsg1v5S{0<*%&w1nBzQN@EXA?}0Yp z2p8aET&@jv<@F3nL2FMNI;7q`zLIsmuWzoOpH{JHFi3bvyy?Qfxq44Dfd7r?6n*8# zNymLfMPoWA8|GWlE+$kl} zlg;|K^Y(?$O`^||3|=bBA*yz`1zBEm!a?tMYrx|sEh!_~1a6Nkn0o*Kbs5_{BU(RI zmj@3BqW6F>Hc&0C15w1Of*V(T?}4E8;#$&>guHb#QPBL<2%2BcVEVX%VftZmot8U% z?tv;zihxKgQYdMpupAQ<1MS$8Tg^*cl4@|Pj+Qvb#J|cI2@R)88h%?wIjKwLoMrI= zzungEgRSLUnNK`lJ=vpD-Eu`|v5%){Ifec!VpQaJ$)$2iH}r@`8@eJNy;)h;b}CF6^D%+}_w zObfL7lH$=Sd!x~@pT+2`zF@d`z?kX{!!FbQ31^RY|ADEHC zL>{QjkbYCFs&afie%wRh&)Humx}xDETQ6Z!^xa5Rnn$uOHcDZ`Pa zFn!}McyXw1En~4YW?X;rA8mwMUHPqC+G~sAAhha40ZH<0C}UyCfC4GJDnG0c92VvA zI%as}@_hY5nDF4bZK0S>WsI=Co(O00@9g;{T?TFs{OY&`+xMy=ykQ@yu&rY15O!p` zBVSin+wHgZJ3=z3yLc;##?(p<_DN~pkD4ky);lm2pQCaXHO4^m8wQx?%vFQ1%scUC zLR!URVq$8Sev0LjRS68>oPa7_H3ZQDHYdky1k7$dY95KowR-Dopf`S;r$Y@Mcb|Id zO=|{rWhVs~T;_z!kStO>-Ue$}Rk))6kn;onG9kwD`=p+OYJ#tEkyAw0p*pWk39?SY zK882I9nAZ%I)BXTSNJUZ_zx(xU=uaTODaT5n&xi0#{Izye&Oy{ELF~mu+XH=h2fo- zebLcoXDlq#KGYrY*qov0{z{13N2n4Vvz z-@vXRDgnD~Q^a4;HDZb*daQ(DS`yUBr6!Wc_xGrA_17Cm*OE+^2qxs5!RZSNB)Sir z2FwIt3nWO=-*5)|RWMwj74@Hg4Q2}dz(ZM+jxj%$yUm+;Qrvo;W7t<}Yh&W+gch$) z+{<-f+rP&~iK-_g(d+oE!(+I>J z-{F!Xo*3eLYnuy}HZ-L4aH}X3iL96W&Kav*Oem2R&fxz5e*xak1+meS6`QI3aG3)P zmRcT((y?vfLuR&xZT2{1Ha5k@4pcOr=>>92jM1 zCYP3Jhqv1NmwZ855GmKhV2*i4EuL%K>ta=I0Fr|4mE9pRJ~Uhr|7?jOYQtMNrZp-l zAZiTnT5Iq|)C21&-v^eXSyO-F0s6CGhrCoZQ9yBq+PmLnoK@4y&Fi0w{6(*m9B+*9 zwEO`s>F&Xd%rR*88O3YIdGtG)^L^hq4bFRz$@6%A@(IP1GK>mb?%z6cqn={4CKsB&@H7;=3&bMi1aSiaJ|0cE#1l$lsiJ?76uennI-VIe@0 z4kH^V&$N1z1!DYZea@mPu4Y!#3JjA$uMj!@=&*#zAP04W-LU!#!3Twk(g^N!8|+G> zDO*bwc1OqY;ZhZQX?I@1zIEb$*Lyoa=_-Rsp%`=LjnnLjBpO&$9FpNVTNN>>>D{em9-~sK}lCv?R(7S_A#YW$rIz=1RZ}b zq+vW$;+@aZ&q0DB*`))Vw*wS@7=Io&DV}ep@Kans6*a$zNT=VkFUop(hE zI_BCdAA|IXC9Gm%Nwt!dc3ULhkjv02H{nc;$f}0TZ@$ryMI%@rizc&8O8LG4J0I%zITEy;*#JW`!}4ye=}qdKk7(s8fO1ez>7Q3vUrG` z_x)R(0M~jh=mrX;bzK}RGAQU^ZS8m?Xv%WZp;$aE7Fmg7OddsxgPEl4hX?2kX2!Fu z4&XR#Lnua4$+G!s_nb@dh|>7V@A-aJCKRZc@3iOyvU@>e_|s&JuPd-$fz#m~c}>Yq zf@;Q*!uM8}8oLP%!6}~B{hgZ2S*Sq5$1{j!B3sB9am4Lxb5AhaI?W-xttE>)e9qBQ z=rU~uD`er4Z>Dx)AdM_r^RDz1^1InmN11MG$nG)L;1AX#H9Jf)t{0h~AQP4-4=;-K z(cT4>_BH_}6lFmk|B4e(qiLR6(MsiWPS7k2n`;N4Z%g zs06sjm~pH#l%07VrYDy%*LIu0xX@S;o<5qe5ycE73?l3x8}8Pob24}F(G@hVci78) z9`YD+QmAl@nqN_ajs3S$dJk4}IUmgn{>YN^N=x?f?CoF@S~gze><4Hj z*T1YGm}Z}=tk9=oNw%-JFo}hTyFGo_s9r@Zvz$l}W-JQ^ky@UsA;fus)J4>pn^4wz zfoN1csSLfSxBr$17`a^De+d?i`CmP58;PX3HQj3D430XN|{P20yjs;HO78^rY;Y+;hC|Iaxjk)ZKN1TO4GKs zwtYm|(cQ5eo^81~m0zZa=@y-%o*4ylIAi4hp*`M5_M~`D3KmVTh|CAEo<+!=|GlKIZlI)U$^7UK&{pory zI4dlh4aY2MU-rd6&o<9)7V2&IEn6P9(w!<`h;Q&e;i4 zM)3TQ`FyU*j1j&9)7qycPCBzVz8(ZF;r|Bv^M0$$v=!-7xCXE*>T92dXzhqf|D02#UHKyC{vP-k7DgMQr5whQJZDf=ulH< z3gL^6zJ~3F6lxLT<3-mRwFgyNygAfKgojo{-t{gCFR#-=!Y66#+V>C0-J-MW=dsas zwuLN}Eag|NB5`Ljt)FzU0$rNuX*N(;cad(`1F)73GOFJaetQ}l!wU52z6{AN9PX+g zUAWKZZ1znd7F}Gu74X{uZ{K(bS6%e@B_>g5v(e0?r_(%b1MahF} zE@+UT>MfR7dY4wW|C48K&0FEgQ;aMJ`tyT}PCv1DgY&kCngpv0HQa0e%i@&vg@rjJ z8Gi1#?;I+0?@Q1R56B7tY|gboMhi)Y;dv*uN#G}SxAE{Ki(sMi%7{F(SQpHwMrNo- z_EZW%REW!KGv_>xq}}lcw|f1vRL=bG$pv2S);t$Ag+LTxinpjGZnIbXp=3|dGtB=y z#rinq$hWk*I+yFrE=>wm(+w3sC?lQZjF27(evi5T1>|88T=Wv-@>uVZV_On11wHl= z4BXc5YR0m%Zl{(jtO_bIeI&z{>5{hY4Y?*DK4Lio!5<-Os(7e~YDY{Q&=N5mR7`=z zr8(P;!U^pJJ~IcQ=>`59{ir}5?QCO)e&cB*CNbqpZB`o!VoUzEwUqa$ZxKJ|M`D#* z2Iv_SOm(;r&e%xbC%tQ7YQ$JHto*ZJluf1+K}hG6M4N^1^M?w<2SY6FH zlzaD|VAtY6q_v44d12z3!fhl~P^M|gS+!Pb^q5j#@((LdShq30c#VRlI^hig;S+?c zrUmWR=|K*|6is&eJ;yJvS-{KeY;l!xFK#ki{gh~Em9gXB;1v=G-3@=UiYH46UZg)Q zU(X61yem(VE42=-IUZ6r>)h*M=zdwVFxZ`z~uwU=kDC`pk$NpLTd?oD|w8=-(Z}`?M-Lk-;I~x5!mhD;U|7MsHY5;^sYrR z)K9aj=-xgoW{lwO!Tx%aXJw=RW2pLb>8{%H*pf1|;~D7VB=7h>_I#Qe_=c3bi+P63Y0ae?=2_M}x3dq>i`1Pi|ixSk#!yamar zHD8g51Gv)cEXXTPS_Qv(bK5L{H^nsyObo6NvTxELH43iKz`#{4X%Qsab06_3f)-p? z@=GNL4`;VE>9X5H4?)|eBMi{bGB-Y zDcGnoY*TpW4CH3M8NQNIEgwMs%#&sctGX_Wmc;^}t{sZKQTrV_Xi(nr*$LCg;~_+j zI9U0+HIvb|m+=!Zf!Zj$e7J8I=!V@Uj*gC5KfTQcy&PzQk((aNnrYaB*)qrPtN!5^ zFY^9yZMqoE&)lt*81Z(T;HgWh(PY$+InWQx`-hrw!;PT97%{54`lcWex5CQtD$EdT z>}?vyvVN_BM`q&WwxI-z4cf7_PWVXX>v@mwc#O4OCTy|{uh#U}3C4aWw0s;XbxmC0 z<)3lM!-OVRY+~u|zOA-?WpTzn-6P`@?+ulZevIN)ymxWYaq%$hs^pIIs=vX;9Sqir$xn6IcPYYAgUIq7}bY^J1T7yYRA5>Dh|wB5*8<6tk;Mw zDl-#5BtgZiG{oFEx9c&!{9RcZ-iWqaHAk=gid-glJdk3c$6s8X4Ay54H*F`j8sE39 zlnk*%j2iu}(S5>)&L*T`uA}}|byTgcFymnnGfu0l?y1B=+qR zhKVcLOW*vVbh3yj(p1#i9eM2G5OAn7`IN4L`27sj7FEL1K293#dim#yRJQ%*_dD%w z2l5?2|5)-{wgGxIoti!QEI#h1KBcJBb+KE%n_#LIaKoo3|78aD%MPFuCXLANUqWUd z5l}Xd5^?I3J-wm-l|rPZh{U6(h>2yYfwS#P8g(_8?s2`qqq}18u{V zP}jnz{BO9^Q=D1FwbnLO1sQ_g`M+E6yG&s2kk*SP<-1Z0ELvdoRp_MVwQtUV$n@qf zZdGJXH=c;CDr z;%myBXSL`@GA>aXgFh+1P?W;iGy40%7gjJ~$HmjX2QxpBHcVn>E+{McBQ6q=o zM;Ubdm2hq~XiX$R=LC~sEa#OHLrsgn1lSl^4&zVPqUBTB{=gF~lD16^4ciklwJvaE zSjUv2ko;8e2F)^}2JMkaoRZ8J@#+bjkx5ERzd%(MN6L%79PCFAb?0maS6}DmV9m&K z#B!oKn;XGo>cWS)cNa$TsF^MzRu800dFSA!`MbqzJC%GEXJ>!#NcTXk1A0<^#2t<- z)V^j?%A~rSf9L$~n|tg8z?NQ4%i6_Qn?c#a4>{r*Bc90df?KiZ@n^oN9DRzes9&(a zGw1Ykt`L*QyDek9QnuBfhPH6ol-e~l%(lH*@O@r*<=%NRuC=M`%+#;9a$~VqRXY|3yrxwaoc%DOo7j=UUum4EUPfl8UetN zGorLvQSL0&HTT=7l-N{JvQN?{wBq3n#y^bVPtP{@-{D%5t5VBGtN1*y?*JZ9oL4+S zi1TiGdDY>@hIm|Kss1{(pHfogJ9fMSEp}=`R+o?}s8pbv_v`o;L98+Bk4JY2J&#LQ zOxr;T-md)Sah9&$zu$9NS`A~T&NCMLnRmJdRGE5LEUDwjv&!6Tby)n{?4s)V-wQUw z0l30U(b)Zp2+~+(Wmp%noWv+7=(8;kg%a%QRDm67R#R`o9IW{{1emG%}srd_ObzG`jJ@H z)tPy+bIwo1_{5{cnK}O1dYr%akJ8(*iJW?}b70KGjx?7$UIq7Z5IeR#1j{$Rov#ni zYZMRg-?K(Kw1=D92^XBhg>Crv|10srTHcEGJEdFEJzmHQkoB>^ zAxiU)h`iOcNBD$V!UD9<&uOC;^ucW!ll;%Kmi?(%q55eK?9Fkmw*vDIUh)eOG3A&w z0-V>FZW&_P4Oc=saB`y+Hf{z4XM|mPs(Yq3+IF1(6J??D5|1Oe$*zFd3{by)zkk>d68PdyXgwkCz>gUH z&clNsp@{DS#P`1OxpLe23`{13pg(*w#!tMOe&_o~?A^@C0C5z+(G<=EuFW<*W&)u4 zm(HR!jCy&0L^&h&**2ctA}CP+8j1)6q7IiYw;DTS+6;z!p~?-maKNMZEEb^iTJK9*u)6>O6w zM@P+dXh!R3vzo7se;6pOW|(y>ha?jrQ8eH)_ku zRNa>2SK1Ds^fGi?3m{0K*jIu6q)xBZe43p9tsGjuJdW#YdX;@r z-LRPhJ;zXnhEcI|Z^SQ@Nlc4NH79RU#>_RI4T9*RBgQ@~dmN}4Hvb#knQ88*2U9j2K&46W<%1xpyVuRuMIhlHIWh=LxCsp)%wFugf%@UK5Fz!(_!|1e!C7JZ|3MtNGGrZ3S->@gAT_5$9U{@k$i3ec!1yQRc}KE|`_MTWRmR%*V%gh&1%d zzQ5R>YWAF5l3}HB|1SPh{w0pyn=Gb#HBrObEoPP{<^KHN48wcq8O6dWRP`~^yQeMN zsZ!S}3~?kr|9l-c=52qK3U+0?7%*-IEfOZOfBdRB5LgMGgmkPWK-u%TZ@^Dm0f04> z^@|Ix#8%H&et31}06!P(czrCuVD6c{)cO2uml`l1@8)zmkGo>)36fy=FHqxIGN|Nfzt35?73V~@Ye@$~v9JCEuf-_R99i~Jv-~%0l&3oy z_7p|Pr?*bMMr0~!dW^7+5-2YnS}tRvfB1KRHN{)$e$Jz$fIP#PVg2Y`i5u$B9;BV? zY!)zMSdx!PFsIU0F+x#{Ukw-Y+i37JMFypE8>AVFraMOZ9Z==5sOE8iM`Yuz$^ebyga_7-fYxxY_#xjCXu!ik7z)^agf+4(;9m{*LDJOu9LC^3aDciPR6qr z_tf8fvum91m2(DTj{FnU;Q0crQrI;u5bc9t*Ur7(r+91lUGA~h;*MbrZs)jO!g%#E zURVyk%TMF_a8{o5UM$~Tu8%)R8+|NUHS}UUiQK@sox2+^SL({}eJ>~ZH~rjOcxUi_ zOcHl%MFY1~X%$LcZ8gJT7a!l(VKI}wL8Anm7CP@Po9B1$kc6a8KP-)%0~`Zb6)P8N z1V4gKE%1XZ`MmY`!i0>%{r{@I3SH=emkpC8{L5IBQ!4~0fyz7g12Gh>-@-cgT~6M4 z3fuVNi>ygS8fh%<#Q$Q1dJ3b7y)N+Qaq?DNL(j~(OnD4EcVeubt)+K(9c{xbby*>{ zX!4%sLPt}ntkNAmd3Q8WkX~sxEG8__wk5dwEIK@`EWj(c)+%*=O_(fROH@y;yhFvg zMYB7&Av*!TI?d;`p-k@6tX>y>p7pKrND&!Q;15^z?b4Fx79&o04FcjAbbkq@PVajD zrZtg_U1R)bQb$q0yNB3L=k_zaRwb#fv zHJIgi*-I`trFkxAZCDYObW8t%*^0OaxKl2KKR5m<^Ylz$HglRS#bb@0<;`m`!@T@b z-hq?`@S4Pnp~%RIWMNt=J+>)WcVdP<)zG1iUWGDmQ)3x)5PcOCbZ^kpU zQItr#gv}g2xC-ZUrHz^-YJB-6hN9J{3yaO=Br#Pm5gsLD2=CfHy5mCl`*-lWDdK=o z86i&`Mv8^hSM(YO4}%K{If_Ty^5B~=$7Oo*o*-%w*s(kPL|*r^eTp=_da((%)9${1A*GufHCF(#sIL<)Uf6WY~b@|zXqqy25F2@9%-^%zNPU4H93Ku?d0^0tQ+N%o%pMU%2xC;&SFfO zh@v(Uj87N93`-0zfuhM(#7!%2rTihGIb9D;%5$x1`h-58D{~xp(?JRA?d`1@M;xL9 zRo|dlEleP2;0o(Xw7mj}_?JRA-lS^7AQP! zKgPzkBqAP2MMag#C9Tb&jP4zk#*8P9O6n!b#FSCFogA%WJpLc~3<5awA@5CbcE{ax zZRRi5r-TEcK0<}0e&l=KU`|sD_FTQ3oM3Ib1i(|bHHgP{_>#l0nC7DJxrk%zx}o|B z>SaOwgqFi$Wju76HCgF=rVsI3SrUQ{Lv7`7Dg?hpTZ}!~Qpx9s=>8Xk1G{R;O|xcp0&G)K<%!-l8I21c|f#HXhl=?f<^xwv#N+kKELO} zXIJ;AuqJKGLY6jrKOv{P_s!v{780XTR z-ri)Vu#>|q=GssW7hBC1eg0Gzl#PN-+wx0QwWGe$FeEtiA8dyj2P?z0DSItAeR*nKi7 z3%*AzOAM=Fj@{)UXcy;1yeXm1TM%c8Lxm(ga`#V5zQ+wwiAS`2V+pn(dA-4}=Z0tN zp}~@|JL-)85x-0;mrCJlrWOF6b9Z?FoM$ZY|8LK%7vRoT-;Lih?#&C{Q(tK)h*k9$ zpg|Z|x0cCLy}d5I?mU045NkkfuFL7JcQ%Q#COXow`fsJSC{_BP*5yZWbq!pIuyopg zSZ=PkR(7W(eOX`jud(_q_*o1$Lk;r+h3PXFcUS8p&v%zf(`~a_N;{%kS=gK~v=F#W z>+asWRU@#s)lR>AM^U;qZ#)NcWy3|Xw_#@CsJee+({D*%!DpXd@8}*3$EN?o#iDJA zC@oR@lvQ1gxL(lvM)eW*^D{<2nLS6!49lTI{NTUo)}pd@W^RxrDyGJXpSIfCSdE8< zhM4-g(H_D(UJi4MTxz){_2Jvwkyc*6HKti#ylkQbx%G& zYq`D)1kc9O!jA2;vfUl6)c(x9?qWdfiA1xhYKjgHX80Q>a~z+lFcF4;qr(}6#Fxpz zA#n49JgW5VnI{-om!Hr5o>a!Z00e&ry}aoeAs6D*3u{luHZvfM`92SQe@&YkTK$PRbNciol^)GVOW{H^kyK# z-jF!SD*Ri`LYul+BY8xX<*8|`|3<>Gi`%-x2B&6O;S*S?SptT2fsDj1YYzvtEG z5&85bk%wLp!*XqqDm0zu@)rj8Dmsvh2WW<_?qG64kDOjIM7nTtVecm2jJBS^yWKy6J4_!;Z#pNfR+{Wv~u>AveYE>kb(hT=Z5C2`(0zt5aAZeBP48ZdSWW0EX} zaY%_}%~OV2NnNF_ixDBBv;^^}HssLdZ8~mZIVr9DPDt1O3dZOFA=!|rWHoWBzdyuT z`yhF_^RFv|yu=-2Ik;&Ylp0~vu!j7QWTT}_8fS@P?u{SS;95DW&$7 zB)2Q{-SA3YpeyAQW_)M$A){nfVXxS^vUKf+iREhxy?O85RCRkx8jAs4m^=SqK;0iz z!NYpUu_|MWxPid7Kh|=YS*`W`uY@jY+h7#dr8gZvPL zi02>uu{oPx)7=a?J}4hDeMB71k5XE>^E0}~g=rDEHN3-Lu zWQD#{#{fWeCB0Mx9N43*K9YQdb_x`M#xaA57tIZBQ(>i9kl7^q+iiG)cY^&|yfefH zp+E0v58CX%E>a&DSmo?E4=}Re2kY`VxA4>w3$9kmP*?n}iA%4LA0BveYmuG%x^(ro zP!qLemRPOCft?TX<#P_tR^+X5(aS!h9M8;#*^u6%VEXe{CqF-t;Ht((8GJXonfsJH zg~>GauDkqt2Dt8TIkRIVahf5bGKf!FMRf)2Zb#6Nj|V@c`G?W>rE8=}`d*j5>DG;& zR)L3kb>3W1BZ^m`&dUwF?@P*uQgnl*44y(>cfXwKy)cvvH6TpR{qa$JbH!t{vvTZp z(b!@6SL`1WbU#>9bL*wi=`FG;rTH7c=tYOSMyFw!5F`;@ESb&HYYTPX!~#tE6O%AQRC@*BGaOazN7Fs+VS z)OJ1{bkdgJ@8-rFFEzvW^OU8A&tKBI6@ZS%dOv+r8hP?BXX%_2?315<%3agKo!jM12qK zO^ZdTDJLTjqNCqeo9*B;X62cRbW%?XOFxMDIM@19l2+4+Rr@H)Y5%x1KS#Jzb8c4d zSCT9w`JGP@;m-ed{+0g)=AbVD0D9l1;@ETSNPv za^pphT+`%1h#u1wV|`G<<5@NR{u3%pAn!x$!1bjW-GEG(+L<;>1DqC34_4Rjq!AwS zm{)MH5S`h!4!Pt468?aQqR=#co2nOzKd^=m9nOTiT-~R`3jn})fr1ZaL`8&zv2Wvo z%d4N|N{Y_x(Ryn9-Sy1jku5Bp$59nuTH!Jd@3plAGw}72tMZ)SF6r#GgeYg`slR(C z6}0>xN9P=sS=)v2Y}mCfl4`-+8}ht=9A3vs(8#=f3y3 z_O*YPmdYE*FV`H>-M30^ul6&Y!u1liFE7RymH)Ih+0@*}%<8Wj;!m;TH+%oL4YQWc zPHzW?y5{C3_UXKjwY*^*>Ll2oOfVVYi>+xpwBC;oLSM&UKBe#frA$4?l#5$@*Vpm4 zxV9oGcLzWB8>xm|of;h-^{G`Kp&3?YEHNGM%xBa;4RVsQ)n;%Eg!$#6m=sh@QN|iX zp%*KdH*09BKzT@pM)TxE$&DmGqSUG%UU_Rg?j@dkW`^X7EvMJhaAf{(v z(V_SKWskj5!Wb|$+mncQ4$G3KK|*Vbh;Q3=%@bhdSs$a#$0Umg7%CM_6xoUrwEcEkc^rIn}#;YZNQ=rI!B)cp?C)3RCm$(%t%a%O!M0zn@FD9b`ZS2mm|I zP7y1ac&i_2cGY)Lt-3bW|2@xBI-8>TtKH7zapm_s=j5pvQnvnxo!N_>bPl+p6)|4L zsD7}Bc2>`6Z%*}DwkBoD2qaQpoSgR}?8E zdiO*CO(|;Wc=84s`eX4Wki*P0l|nv2`*tWkU`7)#d+m+`!CbiSK+|r(ky9QV1TH2n zvA|Vr+0Kbya-NRR{k#bR{KmiYR6Ic8f~;JlE8!*i*)clo** zD^)n678{%ov~NgXnx)%FB(>;jo#WV80n!$UW4TyUxdFV>nn))t*y7FVVuL4!L&cr# zkV=`@CB!;)S+f>t7;ie8Gx2coLX+hj@2EQGx4Jq?Mm%@SeFT@+T^3BPl3dojB_p$P zVb+bAZ93gX_D8r}=BsGX7)dJ__zwE@ElAFCE8AI#tVdCxd0i$VerKhgaI%ert3Kk{SrT1kD5!-15 z2`d~gauuaK)_&a>1-vBEK?ulPQk^bYRikm%i^t1Xomk!+S6@M5{xOdA0Q?m`la)ZSpa7iC z{~Xy7hq6WG0|;1TjsY%3Ep$EOoc^yAJw!EQRvgeDoF@JZ0*|E(GtE=4V|(Zlx}W>FwopU2PpE=I_5=wPaR4AAXujn07UU)tO>=ho>CvR-ju zt+1fZnpLd7M7daU8VqKtuC80*$|6C?%SkJ1L&K#6r(wYu(@ zKK%+N=^NW$sJS#=Fa@jlZNkvNcV_A(irBuikq|W9wv8>PNSh5pT)aQbT+XO%j zsOi(L8>DEo)8FuUUE^@b!!n=*n#n z(ue!`C#~woBXNPaj&fU-UU3MkRwk^P>P7hkPP6FZL&r!@j`2y4)A%iBrNY3eqaq>U;4U$^o0oplW4ezir9a4cMQQvOVKf713tR8Ue;?jpR-)Nf2}mo-iqbHpYJt zsV)c^Lrs`n;H{ltP=`W0mhiyr<|kR$Y?>%fB|z&q);gXaoCz`r^Kfnno6%t@QFHM-?$aJlB zp?v4+_j-|_YwQ2gM*}?Os7BrHdS1MFF4dg1CaW~ne%^$7?^C=fL91*(Yc|~dUYdQ-;oHM+sz`$lO@dN6#6mx&>3LR0r3q`-kjPG zqK4P>t=>Q&VSbP7-vVI;?rv^3Kn^Q&$-{rP^cO>w9iLsb9RNF*Enr~Gj$zqtr@s+m z*zbHCaAQii?(Yi>51mZ*Nr zjqca;-qL@#EbeHcs|(`B%e=)XDCa?Gf(MCF2Ha9Z9x8k~b}L28XhYl2<=;}V9vzs$xkEOZ_S)-P@Nn~%e_bsoz2*XBlOnJV9>YD z+K+q17*CNc%ce>-O75esR*2y+x)Vaf$yeKgJpJpS`2=yt)ILRrwT24f2Ne`Ka}3b@ z4HV~E-zJbwLsFwXLhpZJ&L;!o)x32&1HX(S_l{_jnTdX>S1tkl zaNy9N031ZK#xX+gyU30*s~tgKnQJzjK%x#nQscH)Vrt|_zi5`>FdV|y`z#S5B|P|J zjz`J@>D#fIw_De_&-O+oe zOka0QFEQyKtNZ}&X_@%zmYD5M!2PrLJ?-nydR&*Z5WU4)mF2YBwH)5GSkl>7GSzQ= zCZiYQul;T`aifNrJE4yU)svO#Y#{CcfRJ$BpWpxr{6gT3%8Tql z&d z83Uy!5`nlau&o&N(yLYjyx^4ywgF-{0A|I49WPcA1q3*LO~Qcu0yuIEddoE?P zyr9c$9O<;lZ7ROaowJ~}DZkG-4NXj9B#Cd`vs$-4eNBc$Hs+AF@*ziXcHh<9i5Y6I zgGg)!1=--Scxb!GSvgYT(9B5261+?o2;(&Ob6@ZMiDXKrO^Q=V~UdTw;T01axhIgJFwP6&QI5U`U z#+fzkq`YLJ%oEX&WCOH1L zX<6cF<-M{rSfT0f_ibxZ5vg%lWa~cp8iQ9niiGH^*rLphvie6~l*804JTB9M>Tc(} z6O1Y@?DFJvXDGdug>C}e*ygX;_c zLa7)G@S4{Z1{)i0%yO9rRFS~+U`*N2VS&Xn$9HR^epEj|8ED?xS=p4RZS!W0uUY}e(|Y!de!8!Xs#TPx2BeI$T&x^o`GnbWEbtA zlb(|^>6+0ZU{_HYhyGL9BdT}sUlD(aw#k^s@A>Dn?3sZ5sYJo<{Ah0nMtYtLspBgF zT0gLOZ-tj&;+69O74=y->7 zmG#|mKr?tk4oyZ^JTk#CO@G`fQ>BNtIlfNRN4Vo(YU}6jmT8VDx}QpjC(aw>Yo=zr%uRr4kWna zY~T_wfOBsS43NHR)#KIYa7!DQF(ZYb0BX%39mtH*&dUqWwUelBz^7)MVwEGE2c!z| zW;;ffR&(^mN8gEtvztJ(EltU`V=N}2p6`Xpj6ee)RA542m0x5X7 zu6wG#L*y=*v1S46cvlLgT(4`{=5H$|ea(}PmVY->L7N)oyj-S-ilE+QnKG;Rq9LA$ zq|*zk{R`}od%+;*XdUR)B2#Kc7*zECM)!oEX~=fFtZY!~O+6%XJjuVFRaj;MC}q4> zy=T9_f7A)0v`BA#Al+0(dJZr+Df$;qe~c5)A&jw<<>n>jk2*mnqJu~`IIC9$Gn57> zv>fAg^#m7CtcVziJRUW0j=JhEU1)x}`dA1&Tpv6D^LaAR<55m;C@n~?Wzq)Lx0)7j z$U2aF*0N`MHyJir^ijjh!Xn5C=bi{9oUfJ5p>SJD%E6@N4-S{=D7xf{c+d|1%uir7 zS%|}*b-*w?#|;qr*LDBmg9OT*a$e&!6WkxLf`2Td=F^PseHK790&zbhQi>g0qfJ;z z@1vmFiXmA8D2yTvEi-;*eexnm&~ zE@_Dxh<~C7u^yG;-8d3#V#KdSB9GdG9qeFN2_`Y0-8`vQj3HW1)5L@zg@Ca~@Lp{t zB8aZos7hAlTWV#{U;Xc%j{Rev=R0D)q;U>wVER?7@+YUFdtqnp(U*o}<$7b|EaGLS zAN&a78AL>6>gaLxhv6E)9CO~==s>i%H(>?x*nl_0xz|C*4AhA+SEF{7J_^0?{qJy+ z92Mc;r~l9xa0jin$MY(?VqH{{toFNTfvf_eNS;JnDqME*pEUV%S6k=7VPw8eCAME$ z(mQjf-nJ%))n~Kk{)A#qSVSvyE7+Ov4?x?5aEd}%1B;-3J1sXdVqEVG2*f5l}?AfvA=KfEOPHCi5Xoz&4+c z<9kb>zcp0vL=m@e+>{kTVs5)o$oP%_=6BU&In5Jz4~L2fv1Bd$F&pHMr-Fr7?X(`9 z)?S(PxMBy}ki-C0F%~8h9(>g&-V_Iot3wNRIMSOPKD2>=y=ZWckQ22RAb+n zsb|l{s0G}MNhV!cv;>V8+EK6QQ!S?(3@vXURmjYYW|eD2;goZ9HF^cBV?x}JLw?-7YoVVolVANk-U3F{e~7W z?X>{d**33jLNBwx0*e&_tHs}ZyQN}<>&1BKZY`?w%zWB|zEp&>n@|gnAvLHJuUqK| z&Gcn{*MjpY`C(wk+(V*cg7fl5Ie5)=J}pCtRdJGZ(41#xUteq9X@uj62mGt=;wIvH zXUl&%xSYmF3ko1mLTCcvl|e|qQ3zyh2_qMTw)_#D)Q1=0QX+wr$%i_y7|S?4die2k zi;Rps?h9V_>+XJbQ&Do6qmr&V@GOb?y$#s#voe6cL9II>-2yPf)>enpM`6nf;Bav7 z{A<aRl_-3Wy}y zEg5H~4hW}Vg8q;HrS+WG_DW8`J+A}3>X)`q661p|=%X#bi7Jhi%g11R>sS1a zUWG(r^H=4Uueq{4X;DDhtuqEH;7YcWknykHLX6K#7nHA=mX&sm6+j>wZ-hNfrtzD=bO<}i2h1}wK5V#b>ui6({lDR9gz zLw4iPDdUvAZt3>Hp<-Zt#wEfTA>0>z*fQpEZ90PgDXxTV<5f=Y9pW(1Xpk8pIWtp; z_$O&J2Zf1DBv zOq52h?nMw$RbW9+Ig-DVZ6pY#s%BnW$~YIaeXI7&0%X$PSfX^1D^J&Bfsu8`8-rEfDWUs$B5&5Iq54yR%(3GJQu(BWPu|=ZB31bvn%nAta;WY zXKV}X4w%im#8*eg_|N{g0QHmkGlEY>Ho_qKg^E2n&zfSb2z{7$0I$ORVa(+`(^YbP z&fcFY6v>tOvU4YrxwUHpffPtt)k_iVb_3^$tsW)98X?xrwfqcW9z-hCZutUH7I{Mt zuLrM^+}ZbhfF@5Nek60n^WO!KGAJQB900#S7G+VSW7P$Qhm1SXbLS@~Cv~7tsNw3F z8~!+5jvX-g&B?`IT+A4X>ANA^M2g!-8(Nt-M;C1J7crQXd_@Msy_24kl8a1{@yVS1 zcqiUvD(Jt;CQXcBC35g>X=Y$~1_C zPL=G~uxN*qdp~;+;^w|_#Y+VxLobG(cQLz9Q>5yXd*bRE7-$}e;Y|+vqd_rt36u(c0m9h*iwl7m3xpVlU*zp`j!*t^ znroYVoBW+I?VS^;3wxaH>pwE^RmiMv=mj!>RNzbb+UWh*0KU$FCehJb?r4p>OQvBK)=f)Q2)b-{FesKsAJ>We{8>I z)(N}AXAM3olnAl!maKE9au<0<)S#vOD8^M9Gh`0SW2^!BHeu2171X}=>ubj2>ql=p ztind4Y_g*}X8c^*o6s2+&0JqLc<8JrtJhac%R1^~ucVoeYR{m?-_$-s3cxwcnwp}= znDtqxNP6NGCVuTw&C5Be#eh@QnhzPBlQv}J`SEabJJj}We2g9JTS_{02R*8FfXJ>zp6?gatITS-?qP;+;+}D-GM4I zv6!VCgjaz;d(o!uv}F?Icq9^HjlZ2nzU4GTyTx&A&#YFn!6e>6#%=zojvY7-2Z`U-oJ zwJO};KtsiZ5)v5#D zGHMN91}PY{OV*cTqJ_QXbnLAB-BB2uHFjUhX;`C2Ds4Hz#$O-P%&BbD@(?By`0|W1 zHp^lufkgpIY<4L7%s_OXV3}8mm$kpM<6yncKq`iVbJ)Wcp!#{H{@x-?Q=_NylMKo7 zpWGTbYBoY(&`YnA#BFU$k0Jag)+Xu``hkM9{RA6l83$L?7QGLK%YoX$etSIRjQ}yk zbWDV)`Q?|Id z5<U!ir3iHV5^!5s%`W*agKq=oPayQ^c(Cd}~0bc7kf z4uS~_{#N9uA>5#;tNs^3I#7fDthM%&Zz#)_%FxsJp$I0ozmVOfl7&5}CvRh|1;Mcq z6-qtjg%KAt&x_B*N?+}KDnfT`THqLF2$mx6_9pT^sWW5#{XOM3j^Mvdr-U3T$NoO1}nA5C$ zD?zh~olF^7?%zJT;yifPpsu@b8CsadDI_{2%v!t^nA90_S5PH~tCFI5K*Ico5#xi| zNrIy_XKrJtI9C8oTYMgQ;%Hu^60&7QmO7A0>iW+i#$xNj-g%Mi>5htmiMtx69N>>X zdR>OWzdz9I*9(tNsEM~>M-8RG?9a5YOH;qJd8rHw{F)Vdk&|KafW%Dx_U$A zPiE=xnng0wAO6?qT?$_Gq^#JU?bht{h9;PSlW9>3uCX&@IgqC<3pVtc#T~FTs+LRO zP?~}cNjBsoK+rfhF$3~%bdDz1S2N4`3UX+o_~?nOXoR;2DVOlOAW^_rhqR&|U4CM{ z!YR3F{4eXw@8a+`$!WI@f(vmjSTkDQZ}JHsyPzJb4Wc_MAM7BQ2J-7vhRcpUk?PORY*zXs-yHJc?ocQn+@w-p{ajg5JCjCQOyj0@BEH)S!(? zj$+d)2AOw^KtmD`4vh>Lm_c$~th@D?(qx6S>eg(wmNQnKUL%89+0s_2K*?=Ee)Ik<=&}CRo;;ffa9&`9GSe%@cHM=nT4??n_ zcNsh~KcAqlgr1=2s-bY9l}w5vBOM5bBfGx6)e(p2Wr#4P-+JU*65bL3z7TG0k!YRC zDlooAV4dZ%$sBp*JW>}9*;j@Ds3e~|HgxX1TXa-{wh@i)MuN_`o~epA<_q@%i0*%g zr_;z#s^d6OqdDh2WuANo@1)?;RcqWbEb&&6)AJhaI z4^MHkOTY{z`r0T$yBn_oOOgt}Wr^DGRfA$F<=f~T-tsqVQ6(GpV$RBM=%&+08)KN{Atom7tU2bPvBpP%M)RYghS*EC zuK~rW3pq-kC3F@9JC4irh=j|0_9brH6s>9%Shyq6N zKHb%pV20>#S|4cq(rXb?})RAOcVA-Rh^-+0d2y z9dS&~?n(&KGimHsx)jeUZ%icPj-E8KfevcHHo}oswlOK&~{yW5yUnk<674 zJ1l@oP4#tVrmtfZ$YR2K<7}_TZNP{?y7kwB5Bt`>3oT-avn*zgIw~hJ?kzY^8dT6P zB#mn#9j2lxb{?`kKzuD*!jAo34PLz7Kx8q02DZqkacw7x{j}lWX(-S;%#ncQkXp$U z!e^RUi8ETDzk;_Ok@cfG#dqxOny`)O-x_!qU!PVg<f zin3u0(a8UFSWvH^L-7Fl_~#VQeixIQf^fYa;sD#b(_Ye&)$q$t+|pq}WBlz#&E+A` zQuD%d+BT>o;snuYEN|bY87tzG-EN4*z)PN!d8RHgcZv?ne71fy>YAKsGkH#&H{6V3 z_zE{zd1i2|vjhv#DJn`;o@s*Z(X#yP7XY8FHN2mVx_MfpSmUXkQ&j$y^FFj?V4qRnR^>_Sf;&oe5gIOTnL&K&0 zY+n;!pTqj^kP~&#L5lhx0Oqd=t?2r#C1PGGBPl6Khn2aGWWP^dsBE`zj*XN1xx0)Z zImf7`W)&__Q268KM7#Sdi3W;XIr&S2^-5n)&+Eg6dqNY8l(m?L`baEVNxf>;$N(yW z_$T>jXxR?fFBB=AA8n9)!VYn5^&f=RSo^`&jqB)49MV!oMWWx?>Hbc&w(k{VGBS;X zBZ&V(LO+Z5CQJws0jGxi^H}`4$FmqFPM}vn@GfzJ#Jx7joao3#5q^)rY}7Z>m)egw zG;KycpYjBqdEB6K`{^{E@MjkO8E#@q2ae|^pP4HN{ojFb#(+G2{nJlIe8@!C9!)_v z89ytTL^;&2E>aX~KlD~u6u&{8y1mPpN4NUkCWB1p^Jx?x>x%XInScAOrfhbfOxuN& zV@0q-L3it&xZ)H^IgwP?no$iQa)+FD=LkB#(HkYFp2pGX_%P*1PE21WlR+G2X>UMx zfg?6@u*vh`r7sul1rc6&opYljiQ8bK(wuzcb-3mbE6a>P9o~ELu#MRLA4Lr9v#E1k z*IM!9W2^!yqGqhdw?jyl#o&lbz-8C-^BbCs)mXntUY%4%m`Y0e@NF5@p>eO#^`5M< z{q2y%#lFjE7NV)lqj8dnoXI&GA;p|pCWz1urRwT8gimxSeik_xr@_?Zl(!v?v|zUG znFwU{XmW^#o&H`VZej#c(u{EpJC;eFw`n8dgksn1C)zLtQst1Cqt$V!1q==WG{ch@ z%G4l%s(=w)d4FroF9g3V%sJuAq907IRCQJgl9k^vZf#ya1%eKN2ocEBYQv`!s%Sp9 ziGWIFZm+bFSG{k<D7o=79-hO5c-g1DxgEu;F z?wT;I+k^$mb?@o*|Lg3&#v_T^n@(%xF8SNFe{2)mWOb2qVzBm^M!eX)#)=W-;y7lY zU%bArqE)*D3g(3fHYDWaQ&AA%vwAl!r@a~s+?!;WX>|BQL@uEGnv7C^N_K`YjWgw0 zPK&@h!(W{3XjUrD>(;(uy$s<6RPK?+@#9Y3l(Tr*AhPob+JeZ-g_oZW-xyioZR@0i z*Aj}gJkL)+_{&UB<1Tt{Uo^KyB=vlvbH}3JakpF@5>8||38i=HFgiM`ijyZ@V+j>d z+*RGz;tVCALBBLCpx&D&_rDly>~9`GhkI}(Ej1=ep+vS!O@&G_y^`_nWG#P%TtO zURVyCn`QYO9mg0i+#3dXS5(CHf)aVZ7wd=4W|nXFtkkRTai{LN_+XzuwD7{yEYT73 zL3gxnIRVph2*&jD^rTGysk<(+%sQ(Qk>o08%Pp*I1G(se?HC@mVrN|YOj0dNU=WD* zT(4dJ0lQE%OBbId3EFQ${107D{AuX&k*abi*9eivcH4ncKC5)CUm7k>7$nI=<}PCY zm)}2Z+kQ%+!becfYV5l=0k$ z00ewO+X34pp+vNh3VG&V0@?(vHR=Q|Dx(b@j?IVrrOH4Bx!^lB?=&JV*bQt_=a>Gpm#z0DEIUU0t&0M8yKzPy^aT1C!BvS z(1}cK5>YXG-m)%e(VRhvq;IoFf)9*bNh?x&rA52*L)DE~RhP0^5z*$vK}Mu~!hnIO zP0e&OLxv^JEx;RS3p2oKyp!w*Q>UY9Qp99V)Cc}ZG%{U}7_4pc$l^=1_~xj7`YPCO z848PO95_dt#<`{WHSP;7pFx}v2tOv9@b4A_Wd#@a=PEv=7ue7TVY{FqtFoZzeRwL`}h$95&#E?^ewNp-+*^(%rjBEQyITICn|XzqUU0*!r4R zT!CD$#LQYX-xV3?Xq20LdlQrXrY|wU zhDdF(^*%x4*4x@;vo0WCLgw~!_Mjool+C4PKXNnuC2$ zh|FM+j+I)=g&vF3m(Chw*Z)RifzDKIG{~^nIQaxso2QFEZm8=E1UX3ihn@J5A6c6A zutK(ljv&=dvsXZ|Qv}{;By3zdi-$vhM|t*W4RsPZV7iC{i^63q`f>Ulxd7^E<(F1{ zY_5zr%9b|a0aOK!xxhIsvk7B(d? z`@tye9xQ}D5yD`=y+OpfJ(6|t9}Vio7N>b=!PzE<%pLSwk|BYmQ=x0v|CSfk;h!#J z+I+-#6U3_sjL>B zDP@1*wnZgIVcsvI0m*u@ogobC-_9ZI4r<)}a38~J!gMvXsc+w_Ot$ty9Q0+34GnRk94Si5oNs!(^4nPw3x_K1v!m2Ic5} zMV9rJPQL3R4zh<(^>PNoA5)9XZ$v=+Gh&eig0XM+FS@R-v7z{!#k= zG~+p0&qWgOVBavydanIC+eR*|C;U$<5=4S{N1g5^8Le@0O;@`|(a4T3T3y6&>ov*t z6v~q)u;3Nq<(L4d1!$6knJoWP-(HlkRiDDk_?VniFZDwwrAZa zEZwh8M9y2Y^jxQyRM0`#|M^;WbJk?`C{>0><&d9;I^|r{B;)}Jjs$5^wN(t3AZ?H! z=B6Ip8rXxIa3UC;Hgk4y!T9CWK#NP;_vz6e)oYtr`F++BAFPt_iX0`{Dj4${vU{UX zV^(*464-Q4j4K|B&9gKOm{>99RvFkkRB$LVbkyzPvTA$Ideq-*CQsVoA&e&>^bABK zwRfY^e5erQ@l!BPLX=31PVm{oj}S}H6Y+p*2Etv0>Q6H*ED@5S<>9R}!xJ%L-RoQW zR+4r!x6q;J5;ECQ*pn;}gJL2ou&F!-1Y>B=#zN{5Q{0_RzCVZ{D5fas7qEA;sB8<3 zO2*iQLn8?|U7L2Tes(yOkhh~{bztL=1fDlxivNa<`nO7caEh5cJMm=N4;fcbyi3$d z;BXFOFX|JB_{ACb7jYJlv_)!-1lb-Kt^`11 zj1xYjChE zh1WFRf;vCZazW>%U66r_LOheg2|hG&HmYUvF?D5Y2o)3T|FyYOq7EwAj?B zUScJrpL$G%yzXQFnInftl@IQ$%Mjq9Z-%+aY}&jN> zB`tcG180n}g1UZGRJOY~$H48J3lLbFVn)48}GI`j@QB|xbJiHwCK9l3>C zH26N|M?gSz^cye$S&NC_{~4EF9$zk>x4Co0=G~JH`b{P$JmpC6K~Xjt*JTfO7yg9hiD+lnD25(AVik`Ty;$FX;J0EE~Do z=o&QR4P4;f1S z3};QUbl0r$c44ZJT(h)x<$QnNcn!jUy)Y+g7QNaeWWbnSNpEZm{8V`;kX+-STSKUw zbFEtKMOpdrfTFLs`WCW;_t#jkV!EYse=Y}N~n~W)`Dg@K%eA?(KgA@ci|vSpGU~v^r_QV| z;vS|$A#jrTF__grVvBQVlU<8_Wc~m#Jg^XDH+3(u>yI$BDj@)p$aH?(V8IIcx3PYw4sBNy5I0F2dfVCyjFx36yeat?``ksSif}h0SCv2 zHo}o#WN0$IjF8dMiTVsUd596d(&P~k(5+o*=S*1p!P@X8F4>sIzJhum!`zuacV1uo zu?rU%@XnV^4l1YZb0Y9KZS+n{%|3JtK^eluGvvT_z$?SCQrhy6;BTtp0DWjm^~6?0 z=N1_w{hLsEiszYPWx3@CrE}6_jRn(7h;`U6f~mprXN}V+dD=LC&fb6kF*-NlB*iu& zPPzTs?wt9ak7jfvjAj-ACiUljQ-BS%*};>AO^OC?xx& zAkevcw-j_9n%S4+6rb1wt1C;L&=$hGS=&A2hb9sx%o{VdLnCVqUiyPZmA|pnX)NAd z(G?5fJHPvQc$@^v8Mi-1UMfQ+oK7=Fd>excJHr+8?S0eKG9VDL4 zDk_IdzO21@qLG(m*4em*$|8=^iT2ajgxZJlh>sa#>P4|->PFJVkTC$&Wk;W~feex_ zvHSU1iAaS-f0d!mh%?f0RuziRy9*9YG9_-?-$E;j6_tBtbQfT#b^dKw*(NrT9J0FI zOg2zKC=B~1k#V#PR}*3FLH?aF3$`K~H-d`c59n^XNLNXENuHcJBTAA@;mR#8k%eF# z{Fd0Rt}ijCRfLP#sUaxI_Otqh-`Fyi_McCpvZVbB@P18UiH8I9o&e;_ft5%}QevZC zk1#mfeVY4ld9-msX9^&*r*Xz-<0soSF%i(G#ckVkB>u8%bv`F9{Ucr9B1mr%K5rq5 z;o3m|Bcv2k5bBw_>*we~I`xb2=$rUluArp%WR4X! zHnvBwGMkgQX7s>k*n$qL?T5Dg$IJckbI3Kl!3PjaB8V_()hx;{kX09-%bnYAmO2Dx zs0}hNUJiGJY85aLf9YK*;6Oq+>Zj4}pKQHvyY}eSt;0AwGxPoffjT-wCc^5cn*0{( zvekQ^SLioc_|x3+e2&6U(uMm{OGQulu?FkCFT6GsC zPRpJ)Ci#s6$27s`87S}joA7EObzr|)HA5`GB{b?A?EeHNnEMygSUx0IqwIuLSDz%t z{2P6P#%(S=cPEA=pe5#j+=$p@cP3P)kw-`l?}N*U4Z#f4fRbJgw+kMD|MdY1#h$n( zD?ngQCT358xDzAw{hy1*H>|1y=7^<?5$J03+Jp~gviu^wxqfnYoK31c4VfZHIDOXQ{TC zAGLb<7CAvy5Owe#%k3=Xs7w*%iu8t%NwgNIaov1UL1-&$G^QIyV|)adX)6FP$?d7I*S z)HnFXtiQT(Q>Ul2wQ~U=;TcW~VuZp2lD{>WNrDo{L<}pEI!A~m+Wwenqg&jUv-mO> zk1Jw&6LE< zl8Wh_A}k2Q^fL=8Lg>n!{wQ((=DiJ3h-(t!pa_BJn#}30dGSo65ke_!A{jsq!qdl8 z5<*_)BfK1OY2K(QheTx|oI6wiO#QY+!Q(Kd$@WAu-!Xqh65+PLqvv3v^6-bmxBS2o z66D(nbI;tr;GjEjtM)HU4*$7q{|sx(QHG}d#ag79|Gh&)==xl(bMj`%>ag%G!$M)$8MWK#*=WoYp9->g9lKM(Xf6~X>1(Goz1YC2PW zOLA3sxw-qSF#loAj*DNhFOHnabnAr_vZ6a`RSe5pkgqO&o3SSW>Z_XZZ{%}BJ{X~GPz4dxLLu#!S2rg{6M&> z!Cv)1=DMt)g{bWjBE zv%Y23e|Sh4nUp|2A`SMu4uTD%f#Qp{Ndpl`W9GY(eM%Pe?E64|L%ocaNJIRzw{C!)_}}lXs!rZvcx^uTvr- zd5w9q7U>{^94Tgs1lu6PD))J4r{OAA4 z0<3II88jF}B8)ZWXuGCOsK9^v^tU<>$dJBp>r7+P9|1*s4+M{aTK-uWW+=eU5tVRB z7BQYbnzv_A5W|ej#35p+=c_pvhvgHMkgJ1Z$hJA1z*+oF>{P(ogn%ffzZ zn&cv>wK)*sahQm~x^xUz9QHTvF zd42{286~kvyme9h2^Ta5`xymcf3$G(WXOofJWk*wG(1ZiH4xeC-wY#Gblb(PenJIL z;;%pZ3+X`u*UpGZ}9&rFOXFf&zCz&&VJpGHvS3IoXZA~ zsp&uhJNQ?{)x)Os*8VJaelh+DGHiW@t!p+1+c)+h-v{$D ze0%zPERze=*)O2Gs^Ln&{RxcHLj0$Kxp6Qf4E~p2%I5uemXaX!=d9k?&wv2PttLr) z?+P>@|1aVM(C?tZUbfDqzpn{@MMp;i$fUQ)lWWjB8^Hz?IgYxM7&4}mK4g{#APd5w z2n>*=io}|<>>)fucP2I>4oMbtVI$jGwankxN`cvm2Tyk=r@ew2ofsBFZ0wWN0hMr9 zPJ9g<5=rfdymLy3S*qo#cg!@Cy)rM_pi)P)U~d-C6Do!=ac$yuaZ5JO*d~VBggRD} z>~>Y<-^>Dsbs_UzSUsjryCv~nRrXLI@=9zmXt^m}8WLlh?4a8y9swSMGA9c_-yOOR z^9^5TRQ@2oi*?4!%&(taJ>tp&bNJl1!V zP4sVDu>s)8t4B)?G5PlxIj@OVdH{@|?HwK8dv2DZoSKWw!&53}O)-$K@PTD$xJWmz z{*HAbPby%_3_A8;lcPzrLpaVP5%9?&X%}hlWhE4*_aw%~PuQ3bwIJ{I|F5DmAt4L9 z-q~SYPP`NNJKNg>Mefv0oSO9%xOnHe3H$HM$DdbRc@Jd2LB0JQZajTL#SnPrQp3co z^T$*{**d$r9!B*D~-+5G+Nv8O$%V-|9|GZyoBYMWta2a9m{ z$Aw-rQddC()594iTB^wBk%;aV8kYD_!4N<2baox|=j||Ly8=SagaA}e(ca~q9-{^r zYX<%7;elha>@Dc}+!*rkeNF|P$!t^aD88>`1DPAKM#1~1%}dRHM;A-KStD?O5{2y0 zJ0QCTPoNMo5lVf-dhXnmGE^5eP%a>{sY*&hSG2ID{2hL7p3IMp0yFlc0qns-qyYob!vojC z!qH-pjzKYI(chFEgnD;-?v**!K#aIFF6$+=9r+;tfo|X~2g!xeuFxjn)2^Q1(pOU3 zn`j-uRU*oqD>~GKr`g^y!BGBlS*&U`Yo=yevIb$F7MU`Fu3O0q zFa2Kfge>2m6{H+`$Wj{lh|4-p^((~zY05Vjm4DwL9M zq3r#5ph!$xbTKX#X!pT=gJ3&Ffys$dE*>#M0KphYTd#e~$wT2Ylo)erYgu(Rf`);~ z+WPJ~Jkb3eFxx7q-UdGel|beG9k(4;IUvQl4Y#jffWwF6@B6n2CHAKnv4z3h4l3=C6!!L z{{R1_#bsPvwr$&5%l2|D+qP?6#zlo!M zM=Y#k7sPVG0*T(eGcGLkyxndbDSQyW2u`h8Hb3@P+y&Gz5v2|yX1nw;JJ{*F9!_}JqMS;9;Aj?knp6@3 zrf|+t3Yr_wKada>^tJkyQNQBZd^9aw#rsanx+=4~4U<=f53huiEUZ7Ijk3?oge!+e zhtu()0QHS2$y8CH4rSyCC!V5O$OevyA*@s=yHlsW!@Lm}Jz1Ip3`gDcMHsa>j^#oM zT?p-e+tocTD;wJ-booT0qB`*R_mB69aBLkm-;&tXVRa*l?5FB86Z2UUQ&p7sqTFG{w~3T~bFfv+TJ z7>{wTYBBK9b=lV;OK&f~Le!vSP#)3br~i(YeV&*$J=eb59{Qa;MOJ%%mM8BOHWpb<ItYT$%tsBDy~vLrzpDu%O+D^(3=IK023;|zrb(*f_$GV zmHPkFBf9DLTqS*T_ME+Hg4gs4!MPx+RTxG)AC@=VSlnFI#X?N~~?4@e=pJ*tC zhK9m^cg#y$6(<>%9PqU+fq`$(@+Ns%U!E6zjKY zkh_2r(Q!79e+v6Vdj~8{{{{8cbemfo50M2q?IP@ID6xDk;K(YFJh*&pBT4*e{upv* zN+qOW{TU7OIVTr||A##pLG@#W&0MruztIOQu$U~Wh3mc^^12hF48BASZXRx8afw}O zQ$7r*u1ws!C}&0YR^4S_3bXaDn!jk~Gd*B>F8v*?ie{k80`46hA6fpd*9uIxxsk zlsqs>`Hr=H+YNiP!$_XjipQ_q4Tb@3p890sxA{i42-2?p4EC~T~srGLyL?I zY&cEfSXhL*86&!e$EQDM6IM3eT!1z2X337YPs@~cKRBv8zlciYkgyWL5y*UK%N6Sn zdBfc41&Ra;EJkJ3@N(ulBGVyB;}IX5u}-wG@0f(3)kD=U-8Q=koOb5#3GEPH70oiu(Kt^SU2k|q9k^3h__@lr38UW1CTY=@GU)+;SS-;oK(1PLRFOl^iWl2j z^;#KDLe5>pD`dzHA803HZ5$485pN8kY=go>Yw3vBXdZ)|-p{&w&qRe)yYPtY$gr|I zbj6}t$Q_nenGDm-eLgpb&|t~VpyN1W>2eB$Om1$pFh3G#-0@dbpkQwgMCe54*t@*+ z@XZ#}6feP~lLhEgY|&BCD;uk$%J{XJEU(P8gP3D>C|Lz4bJdk&uWs{He;xWvUF?!8FX=h!KU4`WhA z3d|t8+GUSB3wyp*Y|g7m!!BnCth1{78w!Rdpaja6wX8e6@&f-UsSR*%j{5YADR^m; zdPRXooEizW|*V?C0#FSm|xHXNy#7@$=7Eok0Z9nq z>4fx8)3wFWl4Qd(v^(I9HZM*MlF9uK^DIEeWd!+u&0iN&199g~c&_n50%x@c-H*^3 zte`WQQP_OM$PkR5K7^xN?a&}wx(g3eiHniIvStjM_FM)MCJ3Go){DysF1o+~rpDlHX6^)Suj^M8&+L1`cp|Yo>2DznT=fOM| zV>f3ltpf#j%zKsNaJ;@680ls~i{}wO@4!ag2Pfb{&et|K9ezeXrnb=hmmS|_2w>jY z!>9~zGw+>I1a`i-D)xzk3LZv)n*A4^k;CWcNQ)ZZBb&lzOiup+>nj$fz%dYiE36^a+%6BYXE4VV`^`~Md=+q6M2;ZUqn?byA`pKL4ZZ$6h+gfo{8 z5or{icls>_O`pW>p(+{S*G+b6oPk~#(4MqV9(?MODnQ{L0D@HWWRP_sB)-jTuAA{=vBOp1b>I0{~Fvbnxcj;cMxTE zF$q5^C=e5kTX0UP!<4#p>g zC)`susBgrZQ{+{?IKG)tpd}_cG%_-}6givk1Y=yQ8{XyN!JQ0nvUa@q~3*$Bi5q@-Kf{J zf@4W1IXIK>gAFepPtXp&LXE8G@0GI&W#a1rr0L-&x@53!CS)mgnI4HY5r<3 zhX{^UND2LHU)pY%G|`KgCc=tWSYbxvt*``*E`Qr!x3Md$NXjECvDLh2MjH|ZXTlgy zpnS9%c~VB|K%d&=!Y6$Ht$zx*GDhr+Ra07u{JY6Y#RBBei62-S6eK=i>#VeE zX{r6-3uZI~d;PX@Q;0jXdubh&DK^}|fWG(67)sr^=LiYn578&Ji}@RvjiK(-b*EPS zEpBS`83RY%A>@b_Su0&(tVW_cKnfLse)1j0Tj(-`pb!0}}U)SPWG zh{Q-|&Z^+8n`>}7M0yyVeG_^qodi*^+JSaRK0uXEbh@VUdv1K}U)3+k5@^`Sv_^=p zc({Hm*Rk>0>H}(ci?2M3`!COfUvCQ76lD_-zfU&g;)dRP2aodgI)^SZg^r6O%GY?G zbRfTF-Dmlhgf&8FvlRd-SF&p~J>rdrX*jCM6SWorp|m;vyAY`t`R(+K0=Yu*h_Rwz_1KrhF& zI26U}$I(dKOb+>DL9?kWnWIW3xJB%ALpPjb4pf>EY?xrUHT>*&-AwQJ;F7JZmeRih z!`B2;IsYEm_EBl$=xN`CTNeSY{-drpD#7Ks5F&qpBeF(i)(;y+t?U!Mh2}Zq+hg{$ zcIatY>7--G^V6-j6g4JbR^AZifnqt-ecMWv=xWh56i;dKbPP2@g zhiv?dCQdC33KNHNsEm?xk@ezoKV~!T7H5L)UxVxy3X$}mYHNsb9$5gZr=C5=*8%92QDUQ$+H1>o z0u6zfLbFa>FdElGb8;bZubBSX|2ZRmc6UqHFe=M>T}ZFw+I8h4rpJ6(_$W*5a8o(% z?WLO>C98b9*f-SX=2f~>%s%Jzo1>;N+bll)W3}L0Ta}%g=IXdCL#`x z92SKZMk`NV;^z>gPSsejG+b1Pbx9S4cHvW-1{*{B?`0coS2jZoroW~ z=ie}+)TVM94Gl@lFlSTpn?DtLxx$yE353(Y@ge>iUq*H>PW{Idd=n?cpU$6vtjA(O zI&D~|9v&v{Kl>}5VK6-$GdRd7H_azEwk_gELRTVZ%*&jq;y9Im%?7-+3}nxOlGa#z z7kdf)6=*{vHhB|slk$z+x_FsO!;{0TM8!{VGg+iy!cF$ z+c3icv{K5uGxtd1aDfDsd3W)cC(&)--{j!O8}Dpi^0q`_WfvL$LFEDKw3qQy*-!BA z?qgW5yBRK|UUS7qe%E2Z zL5735xC7e^Z(e<^3%Ska(X>_ps{Wj&T_s*;T(;CVovA9O(0{C0ZplDK(C=)QPd(br zf3?0zal0T!#sQYkBpYjnqowIv>y?wD1r4II{3e$g6d49ViIHXeK|1WrNLI8#$iU{X zDE^opK_bum6djT#`(o6B>TD1`#IT%BWk_ zuKIRRe!DKmLF$KWIAak8q0D*FF3vsphE%=nJm=m!hdmeZ~Wr{q0J0A z29G|z;DCDxvk;_DF?caM5+-DTr)rbeiKzk+KkH$EQC2~i>es@zedrGe2nd86Bkdf{ zSNHb8D920dD*i76DNh8O#m~nl#-@Rl06*Y_T;uPC>x?4}i|^>V9*sRe0aFMSk3jnS z!vnvQPaZS^W8AmL+5qu-K6D8rv=EYw^Z~cZxIFD_O5@S(*-fMa#B=E9c<5hQ# zHD*eWYMplWQjO|MbxSDLEN)OzFId{vt>ll?YChq4rv z1u24TthQ_t_FkP#17eK`8h6$~Zh+9zQFk@coy$hv>_Mvb0S|fI7Z~>6%M?TwbQfFd zQC@t07=%z1u3lW+%3k5nFm!RW_4?cPdaUN`~9&=OmA1>TPVQw3q z&Jh=H*;onLk2Hy53)5UVzvPjKrI<~HtbiZxo2C0i&+&$gQU6x)dgjn#4ghVj(4D~S zaHyOqpM?3inL$PFMJPx!8je+ENp3UH;-g00Qu7z2+3R)&Bu|Esz6t3umeV`Y{~a>; z`@MyL+P|p5e3QlsG^fGct!@<2Q|RPXodWK1K=xr;^g89+>k@xCQoVo?c&im>bkaCB zVeiC<$we3uOhMX^I<8sz`pIio*h*q>Ai|N2aB+Vk1Wv$h1{%7pHZ+Unmt}vfuCF#c z$d@VXq(jYLp<%&B)z;7vNP){{;!0$U=^jUtXU#xEa9Aas0{humh7CXN)|ZsDF`HSv z%pw47i6tBQsMoIFjC9-5FYb>*~D0ODIaVcMD0J)K>uz6X{A#2FqoqvAJ2okrdDWE(BDiq*nc=YQJc2Oiei8g#Kjtndnj?PqMRIVe8Wb1<;4BlGlxCi;0 zfrXG`bpBR7Xn_Nlby_)Vfj!H5gli9+CQ_e^8OaW9B6awPB%dL2~1omp4sz+kx2 z2xz9R@K2CLk`^)aP$g{zG`~cJLWKv2fSF4)_aJ&gzlOwvkJ8YCwkn!^j#>T)j#nJ6 zwv^HBDEXbhzV?wh?G7phSv|cwe>*#Oi$S=t)n@Z?bqyIfqjphng?=FtP9Mm5YY#kb zzc7BGNg+QsqrIX0I;vwh4gYc|C&qad3VF>k3ABr#?Rywz6PKE8*bQd6)t+IG5pUPw zj*zqQ@u}ZDcQm~p|6&qA%I%k+h_1$=g67QLaOck(To-wd z{$~MOSr%j2{f@V|eb;^U$$CuQtmN&_jT@#cNR2bE+wesB$i%jT`A1lzQ&1pRWScdE zCrPNdgNl-Hh|D5;q9ey@^&TLgh1Q7uAPwQ>0!;bQ4QxIx{#a>u%Qut!sdQpeE5Y-q5?#Dm{sVaG~F-hyeh9C~plo`)I&?vb024yEAw%N-Z zwE|(g#P9JbVY;z}EZ4%DWlD0RwP@4!mKXxiv=wwS-M-E{5!#v)S%7?u=*d}@aOlg#L zTnqsPZK-#4QEZsg`ut&^$kDFa=8xf zYsw6XZz%C|mFYpF*=fsiTaCK3P01JjX<|OCL+GjvG@@HUJ;C?GGW52hnf`^8YRgLW z3z&v1=-;*L^lknGzd)u7MzS6jJ~bE+Bgmi&g*UociiUHgKW6$3`Sq!2H-4s<0{`(v z`+dBq&InzsB24ND0waxCcVxqsGR@VvakY>@2kqhYb@hjmY%%ytvJxqO9scr z#-@2?s?UmNf0j%PpkUvcdc8IBeW51S{E7quSjh3qwRNwmn$kTkd{#+7Qeh9rC4@7o z9Qp?P`5vPT+h%rH(-lnB?u+v8!rS8|8bRw@*E*E5;J#;aAz?X~VuBB9UU3k{L>hfF zl{Uwx`q!oLCR!AKtAhD9ZvV{>Z+CL%24bDb~f^?*vXm-$~4ke=*79FQDl_THfzg z;%N{ax~&8zT?hUhIsy|Xy{4q#@i7cT;>vJ7U_XD{C6jC|1JhkpL8V zz$bY1FnFEu_(@A2gVSQ`A>H+gCvlf_ye1<^m}us11|+#LF^*UFF*}B&w2Cqd1JehSr{q`h?sz0Hv**ujMbrc-VJe_!t`zrFE z2N@Br9gcHPL!mV(TmWq`TkQ(UC3PPo1{Y=~V+ORZ`Y?z8S#658{;G;x%>~=Y9L;s7 zLVa5SuW{E2v2{Ax_#p{USqItQ`>P#Bb6R{=Q~cSLI}0bx9n4h`WCcU;QM4`!6yTgC zH?O$%6xfIT*%fXe; z=me+7kRpNutp-C`R5?62YlU%O7BHQMlCAPYQ&x60y$YEEdxk?2;R^*y4t@BV0!9JL zp(4yv_agm%QHD}4y^rzJA^iP5{+DF_GpjQiMHh!kt>URcd-b}oL+B$}ovjV=B+&xE zl>&oWjpPkDZE>>1YkXTuiHP+GX}Vw0)6$JgrDFD2qRTOz~eI1NqqN1DY9y`Gl+N-T{7 z8;)ju+fe&Y<^b@%ImBXxT&S3N{xY4BQZ++=o>@{i|J{HYr4Htz4h&c{%>kBp zdi?jLpM4I%;uT&`uI2dV3Br3<&tgdVm9*ai*~|TG+hs*u2zSMWE)yjVqU+S-^d$Gfwajklu7a#%Dh<6-A#wD zV2w|5JL_Y=fGtlxuRb$e8PqMotziY?OcoAkN6jd8O#yQx1M_gBZ2{P)FVcUDjdTGi z6rBQX=RIgYAsonX>k3gw7QI768-%lS5WYI^J%<{1HvbTm7>*QbZF%^c2bF6=2>*S} zqp?UQyftJ`T%*dn4Sb5Td^L4?+y3~~ol>dQHL#I>rZt#zJ7+)LvTi0|mCw`UCwMhA z#_93K^YM#QuE?csQqcej>}9QYhnaE7OC5D>QZq7!PPS$9%7xO~7v@<0*G{*8S@g{C za?$X?4Jsa+gh}(db=?4l;!HEiaY$2CwAuiY^uOrCUV)6Z|Ubazb1|h6X-Yd^g(#s3?q>P#5!buY-WGp zaM)8H?!YMtBEL)zUk=t#4mzgUcOWy+*f?|O)$GYzDCxI}`lk`p*_z0gNa`F(eV=q= zUSVGrjPZa%0P-qG2U_LCp&T_E_)d__vhQM4)G;>4;SzJDj#?rHsL~a&#ZCHMTq{)j zD*G|fdXAg?6`hf^iJatwA*!DQ+a|P%(3%w z(O*&H)TnXqvqk*J);&rPiKSH)lC}>&dL_jJc+DdPQRx4ayS(tGkfJ3U)ziXq!gTJZ zpnF^u>&t@jK8U&F)Z98{&^10c4%4pv`0ZVHNjLQkP^H(4AcQ>3JT+}}pwA>vC)x~8 zS3*7oowxlLRala`Mryp*ww9az9uFx9=S@+q&$f(+(_|~=IIUY>C3;8z{ZIY7$sQ>v z<9rPqaA7|8!mIp-VYHFpTeM*;uIxPckLLrhr;nMovm0h_V*^g0g5D3mQgu&Bt`^Sb z)Ud4~Rt?p`?=L#~hJqsxg(lfw&Xdybk;93qYWCb_ zpyNW#6p!_7EG^;^9`PreC&}orc?dDPdiLx-uN;gsv|iZ0HFO>)pt{bL zqe%C?-_pZD;FEwCJVs4IO_@yisAaHvxx(kSRz0(8l{zjn8$m^SQDH=0pB!`M!ViLB z=>~yb$L#E0nU4uMv3ZH<@Lz|G`0-Q0A0s*m0B1<4{8A%N(P11q)qnUC3kc(vR!xbS zP_=7d8mK#}`Q`^tnWbSue*f~ik*Sg0!bhF_qAZvqFWj{vKI$^*5Q_%pk6VqiQA|=Z z<>z!3H@v`fH#kiHoo|1g_zY!)@B-7R4K*vnLFxcf68Z|4mt;f&G#owBnhb^F2@(aC zm6_ksgS&zQYUmdbH)$zGRppwgh;Cs*cU?GB`m$T?A?B+cS2njEhq3k?nkgmM_(Ci1 z21{md2rbc1=l>leV39;=0*UWDbFysJ|3Zb*Ou$f%d=ZuAg34vQ|3RFfhl_hy2YY zndo4tj!|Mu1?*ihYs<8Ahwo}IvhJY(r3M7#>vI`i|5mLTYqKk@8&G&-2bIPclY{~o!g zEA1R4H0(8}>V^M;OrUndhV)s(hD60!f(OfDKRko?bRKhNmvex3`u@SrmQ*m7r5MkH zT6J}-1?%*o;!k>(y}QPtj@nDeHZftlVI5kN?_amQDiY1v;o|7@T^nNx7lH>hPtfxj zlO`=#k36;LU(J?mjs{0bfS^lOjxBSGUC(N$dJNVK#<;H4Vw^fcqP&|Mob8 zNMmLmxMid>1tz6sDBSJ!c)csJD8Tgf!(lx1(q3)muxaQChJ0FyRNbodW2}oSvTPm~ z0D(XzP?7RTXqys^Q1<)d``hOGV7>&dogx%+)_pp@xLq>o!xOv@KG$7F9AXM$>bN`w zw{e0%JFRITMDX*v(}CXmgK=obYTQ-l1D5M03o22xoguy%=_K+yFP!$&R1ysL=fLvQ z{qmnp4Wt~eX}>qMd9f3czm`mcy!Ol;s*-U6d@(C3X5G4e5W*#o%iv~+%%T(4NC#@^ z0@rvR(+qG!r6;7V80^a**R)n~YNb{7!M(=u8t9F~^vOpJe*1*=B#6cfH zj{p073UVCcGG`o0_FrqQO^4b_$iOc9v@ZS(^f zNM?plc%vQO&HhvP^#dlHdGjtEnPs*94k(+>$P#ArB%7ZIwr&?*-3A9GhWDCdTtXK* zDS48TSEqkhmtkW%A9@XJf)pu%>tZ(sTNiW~H=0zRT zhw6w+c6fuXXss!-jQACOq5}RuA_1A%Ct>+3Z=O#g)`6+v<}vxTK;76Q`fq7uO}7;( z5(YA=r7is4cSxXzr9@-q96?G5XdA0|7Bg3IY&iD3&J;8%9}!pJatFSv!}D6_PwZMp zr-OO;lKHhV0S~yuhT%W7Ht_~GaX|~1Vxv+$Bvh6}T&$An@QqYz64(w_VX1aZQC9Um zgyV?!msF{=^chT>H)@W-7Bbye#8f(o_@je6yHJ^(H^yE?=iz^SJr<7RY)NieVZc60 zS0j}7As>wrBlAz2cBuggu2U`ur?XOnSS##%x$>j*h87hLwa$S1v{&Xb*|!Vbnp5Y`+DRY!%!cmfA`wF3!Zx) zDC)QrHH3G!Az32D^vaO$<5n8>W;-$su;ga8bs358vE720u+i?a5pZQTV8yQXqEV~( z_`nwQ4;DWr4(6#wV2e8a;A#Y^UR=R8zQ)&Y;;eFT0e-A_Uvdmy>MR-%KD4DJqv3Zo z!DTD?kMSqUn@de{EYtzQ$1L>jfSKAV_ef-`IFbCVky^uMG8Mq)Rf= z6lzH4!+x5hoZ_u{DKzbvOdhLwMu;lHlRC$d_>oEs&|J~X%UIQ=DA$uIV)5CT-TpDV zH&aih)0hNC?A1L99+kjqrG6ONvKV?OT4{Y)s}6r3A``p_`TnzHHK@34`YEuqbWJ~mF}0EwgN(?;hDH7mix zT|V`60z#VzNWft%6fJa?unX|DXf$1kC8KZJB|hQE=HDG*N@%oLbITNP@KIklm!6SL zk%ccj_VqCHY~P6b62y3z@~!1ZK&bB1%m$^+lK5Ra-Lm6jJq-gZz=mzS*jnjdTXcGp zA8|A2B7BN3IWs8EKJH`NF&kYY-dBi^v2(hf?a+zJ#wYGn#zUyI6PhUh5ahT9QFZ!$ zZBPS{c>+Y)Ax>X_dr-dMj4aY)2C4(bX@*b-%Q;`aN>2^>JGcG07RXAw;+G7Lmtw_& zE=x~Pt;no+5>;MRe&FEMy8V4c`<^E??U7%}L09BPY@dx|L+QhrSKn8e#P?g1_g1{` zN6y|s06yid9;IridW*?oKK-_%Z&5y5U#XNA?vTUN|Cx#zyY6FOllbmm%~NEhUFPxO z32yy_!boe!2h8t^!)b`l)zJ=%HbOs1$aNyriY?U`9v4GqshBbeEr?l6o%NHq${jWT zTsC8NBWiZO#2m;Q*hM@t(voe-A*r(}QE?8(NR zvgFbpNH=R7`M&4eNN!W&(!4@KO4=Dd#K8za>N2j+nxw(UvmixE|2O3CKIii}C(fM! z?caI8`@~TM%ol7#SiF&tv3}(i{TrF$aiocZP&9*8m42E}6UtDvr#$*C$HMX@32#a< z?$19Da7E#-<$bADxsuFp;!*Pn*46UFC9Y=vmcCb_;!ZNdkm@3L2ee^dKdd(jL;0Ax z0Qf7o?|=F|(@w^=LZB7|IPybQ>^abI|7-=8CKFSbyfrP-WO9+H_eIJ;g+)%lZ^&XF zh;P;k?hNXDgwmSbx4PtCcnh-l2n>Ey1#lU`iKgR71~M^jx@<+fHZW}5s5?$PA$BlD zLlQOr3~UJYwT}xa-oa;(iuJKRZ>^{;URJf_1_&aFC>sG4Ele0<1|@^{Vo-2y1WwQb>`R zD=a(wA`-w3{r-fAVCB!{-3SH${tRZzCwa$NQ;JtEW#OJU2M#texxO-hN-;lkrn~se z)WJ!uU|>>?Csm@=$jdbNEr>fnWsYsGZ0^twav|-LzF-R(OVza>um=yt+)jGe>>R6b z?Ujn&1BzaTW9}bSP$tQ*T#&9RgFw(ZXzKlH%!LjeHf2GIzzYQVDSLo{TB1Rmbr$x}! z%I@79;NlCEJ1sJpAKO5%u_sY;I|$S=kImc6!Uz) z3$gl&EZu1}vsox~OpOidUh+NsNnrHcF04rGWMhMBGDlso!FQ3$5~UAm0hOWbNw9s5 zIu6QeKdzNy#*nzy{vxDsNirR;5>GH?NkE>LFHA_ux?zF!#wmHyhEmt42ywSQzo(t< zlzW>!0aq?lM0JX-#C6MU);dg^c0$^1fsGr|VShr?x=y&P?a&qxR_~P&NBv3UOy~-W zx<25c?Og!d2mGwY%vpaYi^4Kh{}U_1b(=gq`Lh-l6SI(iC41edr}iQph;2J__<#PY|Pz!?bepA3~f zIw2yBHTuPK(MxI*!-|L{(KVE;f72LFS&F_wn^KyqEOS=ixyCw$Zriz0cPx{;8eS9* zT)eCHexp`aVSJ4d^f1`2GH{Rb{@V9`Z)oTgbb%NYe19e#1N+?w_2s0+?WprXsx)(% zql$mBw!B-ce(CEB1**iNwgA5Hv1};k(xVzW2FBLF)@;JA(7Vtt0sJ?HK=g?V{E+Og zYdZF|#%`Amr-!VlH$*?sP5M95e$e^xg({`mEJyGAmqf(S<9y!i?0rcoAHoEReG(46 z+&zoqp8DO8ykr=A-t+-q!25(K_JZCNKZi>E1LM+{RI}f?dpMo)wHs3{f1k22d~i#J ze?|uGnY*Cf&by$SLZK+AOa*LYS_$f(YIr89y+cYSP6U|H2CFvayKZ43bo?nc7Dr;b zMXi#dE!_X-l4V@-JXZH$Hl!kYg6H(p)E6kbrptW^+MYf8_CwE%k@dQfx|UBcgyo9y zL!-Q0_GPwT0xiP>uP2E^jwUqacgExA7sh|2a4r;(XVXd&ez4IV1~aSw3P21u@9Ihx ze|HL6^Nt?4P6qY;@RdDP9^1MbmL>t8Xwe-6!At!8?KxL)ZnWw*1n-GE-oCyQj*S8X zY$9d#?OlD(n>~_KcNbVUy5A)}$X~>pB;bxY-RdT7(POoZd#mPo zD>BDPqQY>AJP1_{llAL10k$B*q5hDQ8!Lblic$+QxG0bx6D}ZMX`29)+#NO|nb{K{ zdMa>>DP9v5K&z~^9N+<9u)g&PCL{Ir1ZLf&YzG8e(>$!L-n#15FXc_|LvcOK8wd$U zWU=vmzU1Q1vR|=Evcf6Ffi-R8niuuWV@~>Mo#D(Sb{bz?8Hi80bP})yP;$^eQmi}Z z05`86?$F|pZS@5XRj=vlcoDPd3Ey!iMnTyI4j)PdtH zZlC&zr-5)D;iF7<92%mOZ~n|xmB65V9Ci%hR~=^$Q-g6jQ$`{Asx`>gortxZJAM1= zDb%YGWuP2J=XS9G;xq=5dMmJ4zU?8yMk|krT{g30uTE=9xvO_zS4SmvX3?$RyrkBb z;-v_Ovg9>%ih^C}n3B72Y!2bA*zGmknzr{hLf)8pwR)b1reiE3R&Vc{Ja(fwTjF9M zAn=n-I;1u$W}i&K_}6p&#pX3#rJn6%35i`n>}@D=#$*UgO?vosPFfDf(n^#L0Y+GBjY!;4STG;62gAXY5E0SF(u%==DAkqn)$nr&D`dY-HHcCU@C;5rPKMm z@3s9s(_K_hkhA%}7Ws5etYYM0DTrK8$?ZxByJVER9===YVr>a{>|zn-{ixREZkPD4(h@_y>ko&fSLeseKQRsT8-J}4v;Ut^dTclX<2sJYpS@K*HEA|%a-}5r9`jRn zoiL&=>{A{3k6C!lj;u=^TYFe4(!~Wt9RA&=795}Tm!*&|M9dtQj+9X<^{6!t7i{?F&SF#a0V-}yz&JiA6l z`1lG`-EpP)B`qC)USZKV_^ywo=snYVNr$^(<9TyP9)JrQIzys_X{DbQ*~$BZf2QIe z!|a|Un)GdHdU6sd!7f+}*{?aYEdy1>nMO5DN5JMDv#g1W*3iZy?3;sCsYUs=@*X0` z_NA7){`jsvr!g}#m_-#cBw$3A^0(m2h}dPvD5prex4%^)YQ5WL9>^f>Q*lQ!;qO76 zr%6SU7iP5NxJ8Ieeaqy#+vjOnj-{HJ{^8>6TXdb@QVP`5h{=?kl79@l>NHPdz+ZIX zE+#9lME@f@*R&v|Uu3WIUtz2>HQioA#;H&br6s~CD>PTwa4Iy)pC6e|2K6yfKosKW z`}ra!yDKZudPDd3wV^LHfZ_pmu36+Uy0%WVIF?N#E43+Tar4=yR#R*Nms|u{=H5ng zK^IFKt!*Woc_PdNBrRmN+B+j;(G-lHY(vBE$Kfn%PHJm$P9x7Ls$(u&MWTMwAf@lJ zu|I64T}<2>igV%9b1h&vLiJ7+Xmo^r!&r>B58|7hn9_ctt_j)~iHA+27bNYZ0`yPN z6C`IdRKgeBrp$CtdGzfvD(CDPe+8T3DyZ4Tof36$bfB}1;PK;9yxbGp>9`*GTM(Ww1b<;v6xy7=OYh?o?TRW;gP1!a@3!QiB1G4I_UVgGc;(R!moC&%S=fDjG`DeNOK7TX_|A}J%P_OG^-iEn9;fHR zk=?Ho4HA>%2GBSBiGCpEc%C}K1fD`X)aR(>R9GE{Z8|px39Q0qa4ZhY!M2Kpj0Fbt3GaQ3dET8JS#XYc z9+legDP$%)S$5L4&r?(p(HL>Z|rW%MzE17kj zvn}53pXtB;{j0KBfHim68>A*0z1-d&D5H65GGq-pzYm-}gLNR@`ZyD#*P$Ev57}xy zPmZ2JD=AJd;JOhvE$ZJ&y1j*mdAYK19Aa)z>;o$76-lF`r?usKuO6$r*mVl*jWp~n#C_7dfToT0jIT*Lwv9W|C4b;CI(piCI3iP#Liwb=bsu4& zFUF>R#`x7j9+S|Hj0q7=elu_IH?^ofBD-h|esX*~|He=aK?~{F-pC^0Y86i zi`5I-wizooJ;~n@I3)+8o-0h9D-JHCesvi69i1bqRM0XA9m%>LVEmQzJ&g~enxD}{ zqW6NoJHml~3)mW;*4t1+di&Z>-1(u@jxd0#X>`J>+pT8=azAGhkCBB{V2Q~Y+FHuX zFtX=o8W7!4)a?M*wCI^kUvFDA+5W5UI8>XieXl2iL`TuoxmQ-7_ujB?w@HPA2~z6v zysF~T-ua4OlHV*Q4MfpZ5^dnMT#aNHfg5V#$Pf|dy7umlNqMS)m?1)_0QbZpt{iDH zu+aSms)X_N%{{a{Qg>sM%(D55o;bj?^wz9>c4f$nKURDEAgy=(7@S>X?dj&$w0gQ0 zbaAyenSY%|r)H^DfH>*SC-Z%a=UN1=%JT;gBGbaDcJkyJWiQ@3bFI4pHVYV;uePmD zH*ToFt+jEoCSdf*G?+fvb`I#MI|^2(;-Ni7f$7Xfi2gf2Hq_7kFMw%1sSiaVLh(w| zcYZf2##lZ=bV60ovwDZ_UlunmlMNhA+Bg|YhOH>C0K9GKUwdbC`mPN^&^C45OLX%} zvgY9Yp~PbhCBEsx1IP*6$CEk8=i7guTPR%3L?&GqGT#gJa5U`Ybs!6$I?wn(8KQW4 z9DLrMIg)opux9a`V|4@|h^aJ@bM6Uk_B=05=EM4@V4DRJ0@hgC5`Qah$Gq30j3f-4 zw9p)_4yC{ZkyPE><$FWw?uf1sD`SJ>JB|kK*=cL-?D@5rE)iuHbbNWMk|{jUDC712 zk#v?padd4H#tE)Lf;$9)d(hyn5AF`ZCAho0%i<)#9TMD~;0}u{65MTpZ}NT=Rq%r< zs%Cc1oYQyr)s$w0Q#Ru>3}~zqLoCvg@LiVWDQ#@h=!C)Bu!Q|Ie3^V7WT0-Lkz_%M zNYe6c+d*V@%x*x;nk93*ehN0kwm;H|Q$S6!Vn_e5yJ#J27EQ+orjl=Ka^fWlY8B{$ zH(Bx!0UNh%@BHoCBB?6*(|5$&zezmA!`g-HjjA`}cRI29X&zM)9ow>+OZL3_ECgqY z@{rY%I{sl+FT|GWv!q}ZeDNkxyuSbHTjZ~Y_JCX}ygAN%p+EJG?&k3`2>ycN{Ja|vzh=@}^6u@cUpCe;hNs$4*& z=sQ2u+;D8|iamA$T)kWCS5f%8g_wm@mIF!oViNXG^u`>VL?N1Na171_Ms|zzRZ+Zga|Xumv99)KBO zfMNy;*fzV~o1oz(J99)!g4pniat>EWxsUktoAe_Di&X?LeE?s8ueoaPXQcIN-*h@!pF=62Ju&N#bD}RA*l&Q}TC2gwZHRmt?G<=VjF=?^N@v!~3|R=if66RG zq~QTT1OcwDaNeJGnav08Vv?nk1L?RMA6YnCA1l;?5SZWJW$Ed{_m~4HZdBe5odp-< z6}XY+AxHw>N*BtPA^el25h&iNbg|MKiGnh8<@iHpF!dgJ^w_{*DY#7vmN|z<@BOT9 z4Xvw5DkYTui7DJR-omhSTh>~6DEFEqe(fG0oiy&)^Ir44R!(zzc6k-@2Ke0m1$@ve zDuGWLT+dhIY(U3`g2L7@(1!i%*Du!_z?S+gkOBZ#Y-(&F1o?WD#&s&Lc?nc54EfjO z|Ar!k`<_giZT)otW!d1NQ{L_gy7{G!4kk4(O78PbtX(cedE*zXBW7sV6T0xCz;Pz3 zkB$$ky-psnrA^#6z^ZW*V8UKSl74e)PP0MnmqZRU{e9g!1-N-QGef%#M4c2NdBW!z zGanIKFeql^nuHhdeSVONMzIMziI(jVb8-?Z;3+<2|4U4p!-<}xk2**C4FrG)v!)Na zV6D?mvJZkL%952k>Pa(?5s9)N_F=2;BKGUTeY8h zg@I{k!(tFm4#P~Iu&sz3gQo7s3<+D}*;n;`##{Eeq+{egL3QH*Gj&OHn*A^FvP~nK z-#aeW_!GqV5Ar6w{E!(2Bat4Ik=zUi#QY{=d=asmD1k5!tg z1-!YK?+3&K>cVR1=&f`#xDbf}VvA@SxBL!!nAN;NQDr>*Yhl)aR5?lgY)(#njTJr< zb0lw3oc_?oZIrRJ4^w|{#A|T&{)o2PfcXB&we-%cp0`|o5Lrcj@b8AD3n10Q87Eug zH8h|e^uuVC_Bggm*f7P;*gihPu;Kx^;-M^7%{ybe0mfzO-Ji%? zsiO!4O{)Or@Csi_Q)*q`VdKgl>~zKlf#11zx%smx@<-EOjx9M zqH^M18|g826&~gE>@jsyRcB-OZKSJmKm(wGCB}As7SdKJPw;tbgQ;cnHX}mQYUaA6 z&WX9pi!>BM=f)Ixu+1m1#tuVw(ZgfbQ9Zz%0Ys!V%>tHX@R0PNGNBV+GxQN3ddh%~!$(s>msKe?PxCADmK`kSR{68!pP zSNBkwqJK=1@^7FWJruADW2@)h$UabbCERY4YK}`Pn1VzX`~9c)wCzyqZMsU35@^za za)R!Tj)4(!0HNX5+dY_0SZC3O%eOe_)LdChOTh^Hi(RfJ-}2CdT05CUsFtGv^zq+a z;B@|-cOY8npyLpl&3wp1rEFp&jK7VO)nP0@hD@Rcq)91%>W&kJO@|hp}UD?<6 zQfBG|p7haF2Ceadf){+|Xf;6r0O0h~w(0`!*>=czUhy@*W!0Q;xhh(Zt5uQIk-50n zGV8U@B*#98le6$kkH0jnItiN-*}K81IW8OyZw_%(AlQ0OYIDSw4_~~4o2bX`VE;Ol;>Vsz8L8-5 z`H3L5wE+d}7!I^H>Qw_y=NCy%R>asF(!+-?{3v)@L~1rV)XE+bCM}#RE3#B`7W-`dNeZ9Z_kr*wQ3eEP)SI&i3~(SgT!1O;s)v>=jymmdzh?6}>2g9ANcUti5I|C!@MJNztdybT1M3r7uo7kvX#H4Ux{tAVf6Z!2R06%?-*ky?&e7oEPDl0d{; z%lei0s4C?d?JI?0rghJFIV|mlqQ`*d{F9nKpA7BKJK1=h z2|bC#T5M+_0&KdEp_r&(I@EWF7Q}x_oNEcCOZtVc>=>RDZfW1XlBU=CRAT=4G()xw zt&}vp;L4v#&8mf#C`0Oh9(1XC0SYZlSk1K&v%8yLgZu3KO& z?zA}=`C!c*yK6t_=CnFgGsxH8;!;9tQ~aSw<}XnblYd<5{MgUW(%QTg=p~bAMOMc` z){oEv{1K@UhOyH*gZKYt3rW+!W)n%C9Ae3CX>cq)&+gVYckT;U!@NN=3X5hwIz|`k zFr>ST1VaJP)GnE#iR0OAndkg`3PnvHZa%fB;8J>mJ7j8%?~zP-`xvKTrGF9sqe{ji z#x5Dy*J90#CzA8`A*Tq(zAOH zp%3g+l6VoDE>g7UF1HQgYY^#ut`|Wa!ieUKs2^cN3|^moX-_ry@_PD0i@mEu@3T>< zy81!?V0)*P^UPp^MqS923=PJ8J?4tQlSlT0CEN)-@5^9TYNi;|6>rHT|A?F?l_9t3 z4 zx|tgJYPo)8i9{)YLUb=@_m9rxY+R_&{n*|rEd*3NXrG@wNQ-OV9;(#jmUWf9)s;DR$pa=H=$&0h1@OB-93z}O{h_o zYfH2LFA^aftvo9&O~~ls_zAxv=a~Rwm8K)oq5muJD#q-QL7KWhzWtEx$njsxTD5V9 z^`KI?9JRH#+Y~=WhhDYUE`O?ASo;{~jQ+NVl!j`6$e-g^G0&f$G5kXZUtU}oU@56b zGu_Vit*P49PK93?Z6e6hQ=;Jij6O%P(9Yp1fc8;HE~pQ*bX_15m=2dAF2F$1sY1*cZyRC9~91 zGWyj|j>8+xqHhm;VdXS! z`y8GhooXYd?UzRMZJ2cA0&^>(el?QnKlo!nD*RhaEx&8fg0x>Ws5G6_Or`yO5pE?j znokuk*MXgE(VyehetL@Ec7#@$Y*ZdUZ9$ zyxmsYl>`;bRMYb)Bue%uT}O?msGBzCMo&GURSPb#Pew^qs z?}?P|@N|9)rR>;u*K>L0uJ~)u+b@!9ttQcQsqdZ{6^l%?V`XNr^v-sxRA6o{DwEw# zC`aoW#*K!HSNkjN!1BhLMT+n2|ZvnOFLaNig zgN;(Z8gsT`7s;rc^hQ7U@Y~Qht!0vJK?xKFUe~whTp*oQ@T!SPy`zO%>)mP8KWM@; zePKeZROUkJLIvYatO`k2`Dm-q5&ge1*nIUqZ&~7FV0RPbqHsIhNF%l|sqv`Y9QlZU}u2f(0@IGgww^hNBq0RESTnAU<{=xKYn~ z&jj8jFqeooUegh+mrBXrTQx_EGgaFzp@i*;Cz&KY-H|>N2Fp3JF(+&=j-MDxd}Klf zQ}82iv~lMv(U*b7KaK5wAggiGx^a5YK?Plr#H`~R8?BmoOI{>hSGm{J*hvhvN7kLd zD$Ef@{NIpgn65`~cLLp*-JqIj!{9#^C46I%V##a_!!(oHVVbiI!XFtKrfHzx9O7&@%5l%Ennjk9EYf!jy+Ce4|ojTq-lZ88V)m^7>J;qmJNfhEn$z-aLMe^CNn{rqsCDG@2l%@-*jr1{HVS!{7id4 zJ)X%XjPhdv1#slJys(f4!{93x%a)dZjF;z-*KZM_dMXj5IO5J4(5wq(Ur44BzS_6{ zP8lgxi|AWyOI*k{!+++n7;?EG$@u~Kid59pLKVFnUgq7N^IoVpix+R5`f0&lVEo-# zq~N~J)1U<`mI87`=A_wE+<)cHfzeoG!FlTM1MM@0IHs-mj!6el-MnC&hazCUK;3jd zWM_l=w=1`LNoVh0J~sX@s*jX_ zxP?5x3OJa;FOu+`i5{rx6!i^_kSZ^V)_(_I4``{#W>a;PE$0b5@>U+>1#NCq5wPM> zlUqIn;nQleMlUS0_qC>6AS0TIs170Yqc#VFN~6npcdQYT2Clvf&Hbdg)5A8mY)M>1 z=CsMlUtE6~>EY!5QwUA%5YH~a`NQ>2$6H38lRag!H@;HjHT86S#OVv)cj?7sI9v>; z(g$;Nj&als_GB#>(*k<$6$@C)QqRe!?D^Z;rLJjHS%E|*!_QZqzmrqn>OAo_D8>hk zq6tLXv*vgCsUI9z+5!F&u=(#0xFZOD6hE_p#~H$n#!pA&$7?RrEK4xa+7mQqzHH|s z{lU9vxhTuwy#nk(*;Bp?I1o$V;7>Bmu~6P}&%~1QPr~=nK1hD+vDh?C`S8OEU!qy) zGT-(R7tGu5CvxvmqWa!aa_HB1bcy;)<)l?VJaY5l+~d{N>;x1)n2ncT{!=OmqW^Gl zxPwoc>3UTgIVm$6Q+tPM1R~+v+V7HGjd&a%;4OT^o;wLJDuJH!pS1vzkDy>|wHK>z zoXo4Bfv=1^chWgs2Tv0DAi?w=#tBX-(Y`NXDEg zHSr)xwmwEZRW|U0--AfJ5+W{ZVLt~Q^=Q3&OG7bRg1)F)vk)EKRIJ>RV=jQ1f?TIE z976(w>fSzQSvKa)dRR#i5s>~C%}5J@FOz`1YDeHjr^5^UsGXgFAWYpYz%C4%J2^B- zSQqbPW3k#Rd+VC^+0xXH13|r9fQR~AcT(9!JFX5A`*N(_=5mhhl^oW!1L@)jyk_=F>91IQF{ncRZ;cne_(}FgjqBdH(#Ctm zCjwh#pg=t6qR|7vWjp*&Jd^v)Kj@uOvvu=&q_b0wgkBk^Odn&g>`AW*}1K#+L~rN6`o)J_H1uk$NI@L z$o`-_nJmhQXNt;aKu_7fWwUKnlkINL&D1xW4Uapy9gmq1f!_YIfS}O_!581;iMv9l zk&tud4pcXnI&)ZH`O zdQ8uI6Q;8M{(cuypb-yy;QYV#_%l%sGBH2JR(@{E!mk7%IKS7dQ@TwtuL`%jfIdJF z#e-FWO&+`a08-A@nke98G(7h|cWp=g9P=KTU<)7#yptgPd!h$g3-ew|5{7;sp zWyRi4je&+5Ri(;7OYg_Yc3)1kRo-ER0leq7*0Hgq_uMtmS5>ac=suuVE`d3YQY3d? zAWk?^X#r?@VebsYkHkXB$mz&ii zGeUO^Nzy)}wqc|~;7t&qtD>tD2%;yAG+;$jFk1dg1mBvz{W`rzk1Sk2OD=E31D*(d ztw9790-ej0&2g}a1S!rd7p6un+C&CkqoUpJetB+^VD{x+nIaH#8J!ibs+x1j(43S< zSle_jKw@PJ8yuJX42}D!xJ|!mgsZJiw9(&ezzP_Xg$*!{CHzL3Av@_{yWHJbd&8f& zLY6YrWlbyg1w!7y%nSOxK1$p+2T^1fK6;PM+myye#eFX|5=ijLV6o(SS+kdgy>w~j z-FMN@2cNKt(^^DXV_Fr~G8?RT;du>3J}Y#pz)Sj%kt8!wCY);z5gAaBp-a}}ld_Ai zk1r2IDluyr)?p62bhNec3kvpujL4T{6Y(?I7GjiitCVg%>L)GS1GF#1A-ES~@#U^< zgUpxa#}9dye64hy1aQ2gmY+mh(-O;Z1KvZ2U2P?3KV-sA)e}y-SWsUNBnqdCz#&&{ z4*HqKpv=X575yoPIo~T58<>;4Eov%wkR%m@4EGJD>zeJNqOMfebvUp-Pa5mxR-Am8 zOs2*8h9;7y1g);#tYRo7^eYSTAMsHy*276Ey<+UXzDiP<({}M-b!uex`zT#AYT(cj z8eM^vc`}GlKGoMFlVpwkn)aSQ3J+L>S5ik?zqrMmUbid0J;>#4;9><$l9O(0w$*+`D(o+{J8=f@wFx0t&LHK)vR)h*ER*XjPzEUsU!rk@H6 z?^P<1Y6%ldT9^NMOlP^kQ1ZtXqb; zd{E7<-%o{R&)>%orTSYg^URt=A25TCKv+B0R7WEY5!4;FalRp-c?cMgcfS@?RR1=uvV2`z{xL1JPs|WW}S7M-1 zJMJxy0L{0C!pA9xY+I0F2kG)r=gR5V@P@gQwEQ{8zs4w66%YmH{@6y}x8uM8d^H%%txBE%~5#4{?UoTC9+I z{BKFQxkLl1@Zf3SVgvNGS`dxI!0O?`8*yJ)25$BtAJZ?DkZ?j{%f9+_c99Mp^m!Ma zM4y2qvnpUr2t1r_qn|D4PPtdZ<;5`2)w{WqL!UL4OKe|cszt>GJGLWsio=zHWeFnm zbqT8zJw(c)h~}u~o@A;57mw|K?A7^=<@1OQI2XsY!I;&z4dAxy-76u~31MS&cIzAx z%iV~m>5|Bl&rV9q|4O)U@vEvLPRW+($7)dsuX0fI1T-e^=O_H z*1~YTaj6!$O>)$w$BJz(9<(9e)3r$-cN@Q(ywJWH-5YOLY#XH?+v%&7AFiR^XRDTf z+8>}MCdF;Gl%pY6+FNbLP|TpA6EJA>eZlBGTI2hMRqyvn@?(J)-TLnUyEObZFfLJ6 zQAsWvemS062Eu*yIzTC;NC0&C*gaD4+(NINq6g$MibTu%%&)AhtRBq<{(w+OP#vWz zx)Sw@x+aMT`yqs0`UIJZbmdkf99X3o5P|sOlGxKm{nS7nhi7TiO4at>*8ZmyJkCp4 zqC0LMXO_>XwcmS6(T9KWQzp2f6N_F7_(ms%WMqD0L|=M0#wBaL(i8tzD23V+_dua} zu|fRt9qJQZ$C#A?8v!V}eswkVCkvzbnfVD>t)Q6%r=SwSFXur5TYJhQY4j8fI5Qe= zcrKi0M#0d%|HRp7&&h(fmhDnmCMUqcz#zGR>(^s+Tp_wK^yet;9C|e9FO?(m%Q)B4 zR$jVrTF#CXeV@DW4hT>5a-1>EjE#~P(HdvOj8x)GPWHbV6$%cw@}2qn!H?%pj;(7z zhu1+o@bLtSfp*-mkoBsydJcAWs53nVdwY8cjr}ecw2i$J#Ie?=>1Pc@s|r#wg(!|(M{&g-MF0o?RbctvjVPP9v>e|WD+TLtKK2rzdYpKh`B{` z@iq>c)$3JDmP_gf6Fv!zwktZ(2cF=ueEeyU=d3>T2Kgk_l49KHV`&w5%@=46fdQfY z*@8}P-N+B6)VPFnV7oz?mEmP9*qytslg6W^>t8Raw5d^1@RQ7-0&l1@(}J}>HmI6E zIinesH|zzeFwamAg#3!Hc7}D7s)DV@B69G?w%jVE3JkGp-`{Ml*JEWPrM}gP_0EAG z8w8Wbn!{#XBX4yjR&yUwppb}4248)ZiqC8G%rQ=YScR_2!r3wpT~ES>CHA-7*Zq<_ zvP2Xn{ZG=Hv}&w6oceANh>6@P^<3A=D0As;k5~2T_;w31#eCM-MX(RZr9bsx+Nxr| zpWHI~53k37d&Z|WYew?Se-?_$wrf@^S8RJFy=~5&-;P3lhM&iy#Pm1lf;_tsa1R_T zxlLteX72Kf1it#!>*N&___%ig=YqhiJvsR!Am&!DKU!vfF-@1T#@B_$;;q)W%m2bcmvLV1%`Bf<_=#(^(9s#0mL#f@Tz&H9gOP167M z$pyq=MvD1C^k6wmi^O##D+CX3c-n4Cf`G@U0;#K57+@6&3lHv5FdD}Y;x*^1U-fhW zAD!|mpmRDc9fYFzy+2wd=NtlK#?rGrC7lb?)4M@J`febieC@?RWbTyxPyxR!n{vTQ zxFqvfF&|KA?@Nqnj4nM)y8Bj#XWuGH2eTxZzAXjk>MnM(~d(`72j? zw&K!m2mit!FXs5G>pRt&>!G8bZ|Ld#$zr5H8=?IhuaIakDcYV=l-@+CRAcLF#)WE> z+yi~YR%d$XCLKt$v-F6WG!-?AeE==k{lkX8f{{fZfUc+R$NgNu#d+TQ9tgOMK-`~Q z+x-AS{LD;pMKOT+^vvJE@V}nq1I8{s(1%N4=tC|V5a;fYJR%%5%a-2cR6|;lWUc-n z1VI$g4!P?1YvMii7C`^+-9B$ZIt&bQD^x%qj?NX0>=fAzBDc%C7d{M9sLQkB7YpN$ z2WoL4|Cv*qDYjJeaB|2bCspP(=O9V$XPUDLqj!S#7 z`D|^GDK>JOurL|7l}@;uetP?_@2yRld{MvpnmtWpdB~OsjnBGiLE}IA+O)*ktgZ9J zz{aJ{d+67buELp8XN|BOswuLBahcIctI#+>;1mxGzkhGNoH+q-)dIj+XTIstc~0eK zRCxLgpl|{lk8>^(nJxhl%XYBHffjR6v!d+L;`exydOu&ZEGfn%ZO1_f z<~0p4VVJGtny17B29II>(@OU~ODBk;)||DED)sHVrRF8H2~sDTFJEsn>$2-ecT?fS z&RxB!WTCvT_&5bUq8}_I>syM3q{Ti~!2Oe#UaMCRrC-#w9W*}YkguPlrZ*WbDy9|tZrDZEa~5pg6; z20O~v+!06*T%KsjRcOn=~xzsfxi1c`3|Z%nUa<2WQKCp>iCX&__Pg=K~;!gYO% z5QhIDS3x!DcM{Ny3;1CE(HnDCrUUM{PJ$k#496i?U@-XM!3(hIEPYLUHm=rM4hM9) z<6ED9M4U^Y=EPW;$bs{L)1-CH|J-+rXR|F=^H{LHL@RYm#T!szq0p%4;G7b_W(iET5NBRnQ<%==*Ma?~{v}UW0a!XAb6+=Z6yN_0 z;oR2We#3k_lovCZW3@1v#7EuX-V>wD#t{y+H*<}KI0Q@ihEpLF^F~js;}LqnM9k9s z=vcx@Ho0Ud;8%NBSHuJ-ua|fB?(G9dG%k6$s8dV~k?HZ){oC8-*0V1_3hjmH7K>pnhDd!u-*SNUB2)Zh#b5Lp+yN&W+HGnqxI zj9>n0_h>~iorh0JzXDQ0S(?xs&iMDk-Gc|dclxThliNliD(Jx014RE2J-cGRpX(^Z zS4HZ1ZE!AoLt>c?k83X4;|s5LiU%&vlLB~8IpOi#%wMB)CdAW-D?3rHF$Gf`WSE#x z1M~>T%wVwU_vyjx*?x>5v{%Kj@4#V4dbglET?|@q>(u(=ZJANJ(VATVQMH=cql7F;#N!N5(Cg_xn zlwF=CQ_1(2Weeym>D*|1TjMI6{^gdd)n=u9)jOoHzAEmb#bNhQhf=#nWnP_O*H8H) zMuDM)lul;t27=~p^fuGjK3-l~V^n2nDYc|k%e_KOdHPTh*f&&HD}Vscn+p`N=Yc>J z6coR!yA#`5sISHIyn;|EOC#FMTQWQ-Vo3s3Q#C zOfB!i=}bSmgGsJn;{Q-$VZT}{Y_bxsGQdLcBsNyDs{KikF)fW%@lUtyHx>6rZfh%y zPvj~c@gDMB{Efx7xD1r9_IfZ^*4+5G*&CBZ_|#~^*{P6JdQ2tkv@pkZqxbH>bvtGZ zG@fzTXjWkj{6>Julnp{J09N`9-m)V8=UU&R!F)<<>jOH6_H2Nm9DN|n?aB)GpO-pt z{vwPG&sCixTe&>MP8l$YErA0D?V0Z^iwy{_*Y=`-C+3xTXXk&j-kSM|lgr)VFHrt&b%B;# z`Knb}+e=`agQtO6J&N6kyB*xq3^Ngs_3*>u-NOyIxAA$jk3Ru$&;T!|f}2V2)zeqt zv@h&)Ga?bRi68uFz{qd`6gxS`9wXM4Lb^ld} z-an`#GZf|g{g(k7eMv%7Plm7$f#&5;JC1<9E#CBBOA#DQ=c$CfzHIxf%3R|sSGU_% z%oV9_@+})iR1rl3{l?4z2l@z~dcY$B6l7$OybW2i=UqVWj+usZiZ?mBe1tj1ZmD;b zdtlDs8%Hjf^8L^|M^xO-h)UmO84-tZn}H#m*7jBChp%5-ci2($Leb% zD}EwCGyd2n3~(3#GptXiGE+Ta!;1KcfC+Ju`~`#3vT0!xLLpIXZMp0)R}CCkr3&w$ zaoXU)%k*^)^m?OA0o@IRCZ1~o#wX}B@T2CUA22`VFTU-Krh4kVu?0Ske@@@pvb%5Z zTssBs(w^Sf0?cOv^KW)I+<4Ec*#`LLBj8^5U8WnLUerPbN(S(5Tq>?S!$n_rMY}W} z$;BUp_heZgU(JbubokI>EFqg8cw%BB#w)@wiW_tBs{XNUWCoL13m=bJyh@RC|7?H9 zA;ysV!^~OpvSiTbDY9+$qGiFik2+G-(~`TjL~`DVJ`c=krpF*9Qla|@xw`ly^{d1& zn~y(>*9QJWr^h!Oc~cHzG~^m5E~Ydjfn+q;()u*=>f$WS%PMn~#Am9juu6^yY{eO7 zYY7|(q1%$y_P?|bni5$xK03CNAk}WK#`LL;pMLwCI|;n!g^EHV1<@hcpDu39g{%NV zC135B;Urod4Ht51$t~F=1A=0_Qj>|YE6IIMPtsysHXs%maNrqma3A<~4-)qM25jp9 zuEj76Y0KKFXV*1Z;=3^cP=3Clkr6osg($#yfsAK%2-R^K`{j7)z{(^)uE4K<-ewWZ zo$Px0%gkJ{0R~4RINNW_iK|F0@8}aFo_+3kC`^HlPMlxIx&=Olel=aUM$b_J*%uJ? z3U3?w5|Doh648}q@_)Hq0`@U`djpv#%aYFk1RiLG1$O%u-}Q5{UKT4Uc7nqdnX?Oy;Q3EK)s>v$8P0m9=-$tJH+l^yI5>o0vm1u z;{kqt(0hRMc0UbBVgQT=6V*q8U06fD`(+KttpfE;0J-`xe(M2)ug!&?NQcTAW{L#H zy6(`iwf{_fuhrnWB`!-SQ(^dl?pK`Dxhx9Tg;ScWkT`X++tk`=2HPAo?B8~Lv~O@Q zJe!P^v;(k-0#tp%Oi@l**TXlREyUdjN&<8^>=Lu#8~O?BwwNRyF~2+EY;sEjAD_I$ zHPR#(W#`1BCX>dUEus^uzy^Ax7V^WDCZsl^A)hZ~4Slhw?-91k`VctEoEzho=Y9;- zb1OLmLv>t-aB}e-kbrfg{kIL5#SlFF#=>j$%VYgPAtgJKoY4DD86)tKsLKHR8n!S^ zL^Q!CTyoD;{T>#5G12hjQ5I*}O2dA(36liO%p0?Qc9LNSAksl1G(T+5m(bn@-7soD z(wrjJ0G6{0%^i%G`aR82fo_#!3dy@U@rg2>X>*Ju#-!CgdBedYVyh`aa63q7EEM>YEyu|h>f z1!w1c;mOLQIH`yc+Ia-jYXKgXuE60(pfUa|P*$0lnmY1Op4cE+8){AJz8D8(;hbwd z7QRqHy4MJagPV(SPlBal-s!x4=q-Y zOY*9!k3O3C9`M||$W86!Bs`3T9ZQhX z&2!_%*U$zb_Io;0=iU%92I5_~|1}N3wB#7yUPvaCzUw zKTWr{?;moHC#ld>J+PdxB#`V_B}Ol@dCt_y5OW(~hj~~~B4ns&g@HABqb(fJwP55l zd$HKp`nr-ffzDqwizn`vgGlcrZ_ArYMo!L3fQC6zPYu6OawGaW{N{Yxz2W$_r}DZN z%hsjCn)w5v&LI_*wGMGbFyD06Ak{C%QY3WpYojf;2f@~$L3Me#3xRO}$!0rp*nG6iwR45pX` z1i4KVT!Hvc%LO!A`2ar$q6okswA5};b(%rP+YI~e=<8zK>0tDt0L%uY@1UPbm;yfb z(>DbLVlCdn+^wEjZm^J|Ko@BQtc*w%%`VFx?2T9G|Ndvn#fX4Oo8wDm{t*Fwf1fc#a!JO5t*&iBLKHvWk4;o=ncwwd?!oCiL z2v56IR;aj@kCS9aCztK!mfwhN|5ol{L@k}+A4ZHXus`vj!u2+zMyqyw;X%@D~=!odneI4Kt(KrGH?Ti+{_V=-cD8+Y|sRV=4m*BK}?0GqH|e zzn=b9*1AqLuABhJS74_Y2nD_~10OTD0-jGF9|c&+V*2tx^|%+ieZb!Uyhj_>;ley~u z^r=eiTBr&$p>qdcR?-7jPfv(#>E19wL$jdRrqtYA34V_D!H3bsHpxpdN}9p!7``-5 zTPZ<+Son$LclM4}*+u~s<|y-DsxPcdivW^&Qw8kw$&%jTw!l}Zu3gNoYkRe|i%xUN z{EW0|l`&YCW@v!D)I|}XgBeuX_MVtiOE$>rE7=)qlPJS*iMxI^)hckC+GM*~RsY#Q z`fJdMcfx9=`cm_^f<}XTK00?<8eqd+@z9L>EFNj<1=PNC{N)MsxxiAr3NpEm_H!1X zj~fuBi)sC)+lz!jBH@Bi&1;=&zG^WNwbsN#dH`->vV5VG7N5Smw?639y|2*22oS+wRw;#DJR;;PEo6*8vJyCnkWW zp$m`!4IB|jB4APcge*q@og9#AudhLG(32DUX1$k(VNpO0d;EXoc+Qj`)BgFJqT#uXS+h?h zV;*0~v_R0*(CbYf)W|I6}f9pMKuUAF>qgMa31Rm`I7rd=73w|pcyVz7 zWOEY^o-EFPhaMp2Oj;Rrr~BFq-TnbyUVz?b*Sz!fyxp@{OR_-5)te&uy>3Q^kLXZl}E?xGWDGmb~2APOw<;pv_>W~-K|$qidZ+=SzR z;o#}q@M#%Jweb221o~v}6a&lmn&MrVMM}5b=Yl?&cQlgxjrY>%*yjUz*|xPIj0$Jh zv1Zixszk@}V@2Dzm$>{G{^b%0e~&MexBv&2SQfyBcx+8%C2+73XI|ojIez6L_XdE> zVfrg8nY-`r;pO`{N)3^E*6bvkirm`SDBuzhU3L6WFRIdf?t*QERchrXem*ig@I3xp zB3SyyFp>MMLYAoBjNzx*C8NJ>@v1Ktc=A8Y0Z%sE^MXgv@$C~JhHu#O05@(YymFczU{XnKBx3#qGHBHq^I^ezC6Rhq%P&_cKy0YN%5(u7vXXgWx9${&vRUW4D4DbC?_Oy!re?}|8+6VzDxfPK^KyV56StFW>sm`|BcVK{vH`xDuofZKQAJ(dLL zWWd~JJ(I@6>f8`K)zBP*qk$XVbsA8RRhOp0%QIg5>eyf~rSsi+(&p)@2VT=d*M@lU zofaqb7B288*IhtLnrIe$20>JS(M*BuOAGIUX2VTus+1mkG?!6k z^43Xa}imtk(9YTl7=#G%A);T&(61FO6(~5xXY0KGO2U0s!aEJtHN}; z;}x^#>ogSkff9^T%`v%71S$J4!8C&TO3D?3Hhh4*j7;AWy{pjTJ_xod!fI#x_{Yv= z1uwt84iTWA`(uj|s*O*&c$(GfhDtw&;t-_yQ24+`yPO|^QJ%P_cjI;HRfWFoj{fEd z@%{N>J}HxZGFQ0x=lZEX-bcWcJxlmY?(Y*sjLEV+nm)gxsA;n>OBKFk^fT?iFA<9= zwRG*Q+^D#Gc~r{Z-}cT83Kr(O>eD;V+fcG1gI?N<6qkuw5j(Aunv=4+740@>gZ+}Q z2LBx7_`bUsXcE3_Q2lStK4$2NyHRSi-=>t3$ah2$+|Iy_sBl7~niD_)DR3tcm0CH( zV!z*}3W47|PZf6;nHu$y3ryUFHR`#3YwHEG0sCd3-I?UYk)dwLG&%P04aja`1!yfF zkkPYY!hrQ}WMw%Pt z32H?QXt1u=`Tyc}pvpj;?Rx&S0A@;thQXXCU)QM?CkyP^5@U=KWWvSnDQzb{!T6$kJ0#NC}-sk zv@ObweKtr^FJnHeGwP98(rylM=}nf+<<^`r2{`Zxf9Lt&H==AItZ>WWrVu)CYQNle?E>E|C1Xa^eA!Ar50{fe74T~(Up4_Obw8Y9^vY@`= z*H=OG=p%4{`s^*KOD-4)=5UqqEA=pZp-@3)6}kp;;ozGa?r+deSlO6rJ(i-4)$v|J z?07HJRU-*Jw%vY&zWO7h5@A3v9#bzONQ2;Mw10_ zrKP>;Q29P6u`1sO2Yqr~eDI2n{iQBX{$b#ugop&PtlmT77>;vSi@nJk!JYqwuZuwA z&j?)@N|V`;&FWb;t_2FQq1FSj<$Q|)>&#@--Y}x45lkK1HIOjWVuW07VLDHAd}5&h zH=FV*Sbg(oR<>oYJo$nU6a$7iZlpAc0`UU~len4>v<)EBBqx&kGJ|oo2FVwF=s#Kc7OhT+ zz7`ub!>hJhLK4=F^}J8iUGA*)@QbL($+lA&QPnyAw5J^3%S}e*a?)v7@976fkac_S zkHxigU`H9-v2#g)Ri{c;CduT;&!+LH4mb|JmUxq1FDxvMP=$<8gek}Go?QSkw6_Qd zE0LTmcV%$!c?}t6t?)cL1NO%NPkk8ZyF3xwDmQ0s84@{vO+1<+<)33iEXkCpw7Q;1 zsOuM&_0^1yZjD6hpNqxTcxyIbdDB;q!aQW^Z&naqn>MIHF27UgLgbT8c2uE(;u|UE zKHPtlar^4k8h*IjEC!_FT8v7gc}xY7bno3b$%WjsQ<BJa zxuc#9<33v|^PLoT0~9}bx~XhR@V!$`25dqr(g)XU+5h9{9HZ;%x+omuZJaiC8a1}9 z#sU=mt7tjD%An&-^GVq6+$*5z1fha!IW2sAfCvX8ImMCqwI5zG(5J5=jO{#tP>pl z`xrZN2#35j8s>;kebK2Q03o$*DM>`4IoyMi_hTfsmUIKtwHcbY7dfyH+Kf}b^w$}- z7I_Churr~EYn8|f#W}Q$m?Di78yk^&!iDQnSteAvWt;WXfP{HkAk)s{vvh|Q6U@7M zgILpxrx*FkAYkQvSb`=3?-m_f2v8)~H}O(Zd6?2>Q z-0Ss@s#{oJKdpo1mBJ*o#x? zdz*vm-^oN05BU(G0OJu*Nsj+rR~dT}!2t;Z9qGq`TnNft?g`PDMa=GvD#g^^#qBHB zlHGkZhnrKN+|%muHtH|FWo_~+mgl2w7Yr~NnFp{(z{LRzJ7C%X{A&qTPT)P?yHA0t z^h)TNSbW*i7h%Dw70T>7f8n-|y&xYWNy1+EyNKZw-$V^u~qI|EnM zXJOKJH{Y_2;o0G9t_K>iMl(%nF_iJUc0Z8zGg)kU--*I4ZlEx|ZPwSL1s8{gq{&CI z*3R^OYl4+ua--dhxXwlF;e`ZQcj&)_!Btq;>h3Njt(1{cKCSu$#5e&HAEa#PLTAT3>UX z*d8=>UwR0#eytKyW9N+sPu72}FsbJGCOYQ)p!cpl2sm;^aL*Xzye5r9KJRirlx}&Y zP;$QU7R~LQb?iE+wOTb|n00Ky0^-)D#d|_F`adMl!Rtt@+!dbiV~7D(ApZC0_enOxgaE8;iYQ>H91wdo0cmWm7q4kQxU}}@LgK##Ecj4;{ z@x{=nsll2v{*LgHG{yq1mGkVlA^ND?n}qUVL9WOPdnoydsfAF;z|R4h3TlO!xsD_> zzrXo!;r;F; zH}d=@hQ#mTNNTh-;{jGusP)+`lX^-mA}_YG*zaiD{;i>mb7*6;0vuh>cTIfuk-ThS zm`1r_z8mpg(~fPKn%q1LOS-SpE+M$Wu#b9b$nH8sts(8TThjP0t~q|cp$VbzfV})? zZRRomMpnxX-QW7SUR2g<@XiR-ue-m+Wm0Zae@0RW6>C(rOpi|oK<1l3r5~n$&72|^ z8@!vo0kOMhnt>5)=lp88_s(fvpGBuX$TAxM$mcZ3sZ>SAW0U{7#H6`ppwYo8XrQP+ zpL%1-{a(uu?N=cEW|@aO{Tm;Ki+vf)G-cvmfF@?uRc`1o{?tpQ`2F2Fmz5ToYWS_! zn%RaC&cRm>l>E4f)5yaH-gA*>y6T+4W?kB|hUF zu8FDJ-fS@}M1PwxyY)nyF8f}a`jMIhrHN%34OyjCaaCh_bS!w;Jd~_4?5iqT;^OVg zQEbaR8-N)U(Jwz51H6mzE@0GczRVYCz=j*zcW~QhL%NH?++cu(gml2U-q+XvsK`g; zAL^h(y{V<&96n}#|9w}IBvSHp9&kLHOS_e8WKt%Pm)E7O(oSxO+_17J&vWI{Q5n~z zkcLcYqmnXRieN}YV!cT7StD%+`5me%+a#pEA(lACkS4}zX^M1jAze!RMI3N^*xofQV7D76WMg8X|K=lWK+Mvk^LWnhhUE{mQ*C3$G0(49u zs8I%U+6q=h-+XoYdh}Nu0&jT-CiHV6#j{gq#R4FBB{>1=C{1->$S%rMsjz8T2PPX;Pnq7? zK0N9BzkW4>c7L>FE-tuwfr5Yi0)(gIc{9_L+w+4n?qKCfOlq{=jwL+$=Qy*Lp0B_E z6DCBY0=u=LA(GzA%;6oxYSA6@(Uoj^>&4$fw>^hu=8p^{4JW(A#UzvdXt zFX6bwZ&HqZe3x}CdMg&v;dX}Z_qkc%mn)FhFBJ4 zp9a|awCGZOJNqp8l6-nNs?uDlOc-{w4*shaL1^0K0ga%oC^h_yH2vXW%r$ZmHtCJ2 z`rmxMT2GuBRM;Qp2b@bUeg|QiH~@`WOMcQq^xv-VDZ=}GkGJO(p|P9*SHIs4?j5um z9PFH~5y?jlWj4u#hlB>CzgAq-PgSO{5_3bx+@0w!{s#+aVb<4Rmk@7n{^)IPF#ZN? znU}6wIS9TV@0a3$T#Z^KuPs0{Omo>aj zk@@=6@%Q8!5%Ps$J@&t;t25?|=)tX}>{wj9Qo&W=vxC|mfB!DjA3zi4OGLHW80MUQ z!*?r`P1o)Q70Ai6khjvfj@^eVjTTgofr+OUI z5~mq^(=6t83S|u{>E3??ndw9cu&n2`tEDhFdPbLslMFu}@ zr3zW_@DNN7)}b#6wTC6`1NrUCHFk6>Ql)1lrHome!opS;HvX0^WC0T=*z1Ata;RL& zBwHJ#WCpLx+c6QXJOOEWX3(8;KzMU2463ceoQ(21x=&|X?B2RJ2KW$U(uCvJ7b`gU zC3DFW(UjRzun_%w;=euPO+wBnW)aF0_mLde{8uOtce4XIHxmZH)vS@8 zG-vBZdK4QQOX2A6J_%3J4LAM@{t#?&?^<$$B0N8&?(4A93rJ>Du*|3mdl)ndqt2`A zGEK7x8-J6Ob+eLK_)>>&*5 z_t3WMqo#YfV8z+*o0w$Fq`ukRikjHpH=)zY`)9lex`#=?e5J6}cSrALaKHH*K7z?Q za?}+-)9Leygd{cn7$}$KWDDws!&8~MHr;8dfUwQ}wed1YlgRa4!QNN(m;)_UPP=Up z7mg8q!)vu&oJkT^k%3Z+1X+}BixE>!{P9B?F3gfza{9^c$Aw1;GytsXUD+cx^FUMCqo0kz#QCiuDs(U z6cHN`_M(TpsQO#sPr@3!z_O)Ss#iYOpjCwAE^n*tNzK+Ht;?Yh_Rk=X$uoQ3L2rUZ z#H@)5ABSfZ@mZR00;5u@)KaJ$oBxF*?6}#+SF8oIa8d`8tG+TXj%n$rGSTp}AW4w` zm%dHOUG42%rRn&<+erv^)>$$=SY8rd!!zs0Mjs%q^BrWOmByO__c5BNB6xt6DnA#O zZq3$KR}b%KBg_LkLE7NkKq5ZjjZ@I}!*gel|l%n#v=nB6XMl?n@LVVd8hH{}xS7#gUIz5<2O zU(H>kp;NzmG2qBxB-DR`1&BZut!9FUiDQ(`^b4e z8LH=CrK#g=MJ^5wf!brpPVN<@a80S$7u?umcE{+*KcNe_BdA6{$^u$Lv|V-5g^BDv zP*_t7ZdB`&=SkIA@YQ*-sxXXe(vvIVDR3La{)7}nz=$isHpC4ITqS)~ z$r$h?3hkwM{)3ALBTjVaEo_gBh*N#}mUGy7FGqG=u`r_pqf_*yHjN_CGczN3^Y0%$ zo%O;Xhnb_Fbg#&!Dq=mW*4-f8qSLHGUExh@HeZYCnsH$E=AHCbT)R5iM0{kie$Iiw zTmyJ;0D-VtHI-0%gmGXHeix6->_empNJPHsBb?M#R5O6M;+V}1df z0SsuO4LJb)x%qjMlxd6quDBHHTc_)LS69An_sXUyv!2iWw;WEtH@%O2J+_H|>pzTm z_I%HV4B2uC|7HOOC(9JTn$yu<-K;jiz_MI3z536c%vO}{1EfWK*{h5om^>vyW6cHM z)~)~>+QI8)7Yc9pjTek};s3oEs`YqJ9$-r^4D->uRrpzCBJexJ$tZsGVW)N+cxU{Sk*b1`w zu0@-3H8*?3UolJ*rPJL_&=*R7c=kpgec*s6Rezfq1|%6H4bl*WfwJ)jqn!s{OXLvv z{qo^x7*T=QOgGSA?xh{xrYkvibk!q+Gd^K;4UY|-zD*}hQ@iaJKEkG(ci||GoW(S0 z*w8p4qMP46mk?_y+UPFR6jpAYW~>aNADv6gnPTpG73cFb@L1q<1X>QJbJLaha0DT6 z=CvghYt~JhGu;TZhPHK@)jPSx)ktg3kiDkE*?X@$YdiK7Q>Bzky5G$sr$SX=?FBAKs|oih%F#qO3teZL^{FEy zvNcCO3L9>ebavp7-?1+AVMY~+i;S0-)j%6;y*Q|!FAgiapWVlo)@(^)ZZVp5op#ko zQ;h+=X|>J_ z+lMy3xSA-w22~0|DbskUfv*@x!M}N+?bphutHX#KX>7U)y{b-HgsI8@T7#KEHLitXWX6^5X6eQCt#%Jy!dr{qQ#1gfOoxp2-X`<~6!wa3AjkTo!<@%#R~xuacv^6_hmR z&6hi6TJ6qb!$VOJFEc!YA_8&otRe@u+ZC20@)5;xX)kBbqNSlVdFX@(>!ySj69LS4 z0}(=b6@7^POOy#E4Y3slh(ziBkfQbolGU?AAmH=<)fY>zbJ>6Wpjasu9OcM|6cJ<_ zNs^A9mD|q%(ZuDczRMv^A)~3x(zk-Pwb$A|;8IR)Tc~5owJ%1xOu=G6Hx5$Evk$-1 z6**YGrsQiX=Uo{=z?D|GbjZ;KU`_$_9PxNZ3$~i7D222L-}NJ*Q5bh2w=i`_ri< z?p-VrzI~OsJ%GnER%ZfOh_9CvKB0AzynMdEh-%tCOl~D{`tSG@Rnh&6V;zTcaKKZA zvBd>yolCO!Y2hdQ=_mLmT^K?(-DE=b@fvKH(w~V-U=n1y_bYOgWR-tvXzOg4w3^7I z2`ZHO4z}^wu%U~v(3^JC&mmi6!HZU6VCM|+1%zn4ZJgx0*CC*?Hj(e3^6MDDML-vqMFUg!K90=cgw;T>YRx`4he z#I=b&G8cgoT9tBiW7i+VcR`g?Y9e~85$EWLhBNq=i3uf7MF~f;qE=0De`>u#H+0qH)nKu@kN)vbujKXu-{u9ra#f~Q;xs80v{~yca12)b`|)< zqZV)(q4dt-(4K}PUAjcClRceS@0W_a88nr8EdWhb2w9m8)9 z7uI@a~S99`}=?;;}f7eoM6p3zBvKFqNmv)RCMYB9&q#LDpR=Y8+3F*+@ zR++@e&;w;p48~^K^)&@kHJD92w5CL5q?y{Ruh28YC}GmDn5v1{0zChS%>VwIF#*!j z4q3#e2HezRl=8ISu*lA$y?oDejylw?*k-`~qQzc(zQ~>emhXQ$i_D+EckD;-pk!i$ z^np!P>dJ}7Rq(5tx3e`MqW$mrhZBw*GMw?pBc$3g%blv8_e5$i07iGm#lLEC6*)Jj zaf#9(JHa>rWKUer(Z@`H7xd^Iaz*@%`xQY(&$V9HU)K(o-y5TlQ(Oa<(E4A05^Y+Y zLBDz+CrOa0LqEvVwV;N_6Cv#@X{&jMK`N&l%lV%Z5Cf^$` zOfgdt{t445cZ=c@JF%;pC-WIkA_tYS=m+vKho`Tip3e8n%FovIXjoXFD_S~Tv}R*p z&&tY5!uL05X;`%esyU!A4$hs|=h~tUfEoGDy%v;yjixtNV>qsVBICyPICVD)iGDBQ z8?z$2FhEbb2ZBdGoqQ)(<$c3W&xty5F)nChv8bHjkewOX%vJcyWGF)w0DBzc%oC&k zwSP%5(?pyCaJQtd=bsw2BN#EVq-|ZY4V7;BNle%^EIQZJfK$!KwVsQg)BtLW|9_7np1}jfbz6& z9XYf?W78trXf=-bi~GxEB;Ab3j?E4pPt7C+pBYB~A1829m{T9~M$6DJ z@_$^%2E>j8zux*iA%FHw0_h@-7(iSF()`X^=fGflz9%RLBwY@g#x!+`1=FBOxk9=a z&bFaF>{O=%+B@9$W!SwC4U!qc)9|cY0MRecf64uS&N2$TjWd#gocnTU)aO4(x9tAq z_diOKofjsb@2jiWmPSZ!zE}7SJ5I3d$zQJS+vB;qXrzWQouMEvG86R*^N1|k!#b3mkk!c> zLx)=38l`q@A51r6L~SpDw^8sEGT=v|LE|v%;C3&`m27JI{=#|s_iteIXv&t^gimt& ztK;~i?% zQX1_`^`(mFGPJ$shlY0(d~BZQiOz88`%s67=cHCQLJ3ZhW+Ey~B8@0mB_HW?WrkYZT%c(0!Wt^_FnYU$#G=KDL{&8wq zM+KjnbkeA=HVHItp>^tJjA_w%dMf(uY1gh)v7r1R3Z6!qF8xWf(BPTQ z8^cXAaBvGL4}4!G#?DiRF6+0?wd)@K`wvIvZL4RB?RPI5drmb(izPAzHQ$$KeddR? zS!8zIhsJ*grKc#PYr4ppk2e;JQffA>QYHphwU4UZ@I*f}Vug<~m$x-f8xfKQ8zG_& znA(VK2H@4-)w;%Ihz2q3dv%#|ZZ*2%?F!c9Ea_W@!AdfS{1!6)Tc^*h73jUP&yVn{ zWF&4W)bXI(L#TIhWAjwu0J0w+1FS3GW$X!%*^85WuYM60CT&ok#R!Wq04>PBReEo? z{GYd^{$X?vo2blK`P$-;wj{)q9*fquGy4`Is@&28aJ<4sWI5 zJ8jSRJiFr0X|c?@iN;LG>_Mzd5bBm2$vL^m(pK4&(*-=yLWAO~!Eh-yZD%msvU(M6 zI+d!{oMtWV-q3KFIiPj{CM9<{$zy=6JXG{o95O`VMO=r>$L#xvqn*{fNUv1Nf=m@v zu|PwiK3bK;tdrqZtrh=a)ME4<_3VvsjPc+_t!pDL41=ZUfx-~6V990@l;Ivnu`wrw zn`wy^VVm2=aHbbnb@b~`YJ?!nuuG+z(tP6p$m4bOl6`9`6SskI2LaL?eD=>E9iujF zV+EtZ{*w%C$L{{imwPRwVFz{u*u69$&u-eRd7i_I+u7!@p`)$cy4>UKNbgS(1G%+q zz?%ImTo?KjZSPg1<1ycOUO7`>2e*+j*P=9W?9**UvFDhCz$($e%m>)=ZL;7FxZu z2RRj6=;^;4$`Qx|P2@Z}S8iNtpHxf6=e!D~1~rY`s%{)l zLEf$A=ZD5q zl43L}`X-0oAs^GGzecW|#9MJjZ16@Z+c%8r%EcVag7=sZgxh7AEsNTK(Pt{IX%Y|t zODBY+e6~k6?74sptALv$LRZ)4IZ#Z&WfGKkEV%54;T?KESU6q$gHF`a%zeG6Q&F!v z@_Qjej5Nid+z`*Mip?;AEAl@DjO&Up;Z3k?dl(J z_j#lDF>yGP%RT!E>Unj8V-*8OUTySTUPMpn;f|Z4@4QaVT9>wU?O5Mr1olIPBaH&< z1y5)HWnmhHr=PvHUN;#Ky7~1@0Z;^i(fipdP{aDZw)m}k90A_*Ce60+6h$sxUeONk z=^Hct*Ys~6zBhm2YwvkOEw(9H4!sKd>a89%X9@S{4te;~_&-mcfeON13JQHpQ;KL| zlE;Z(ZT!N!Aw@Y!) z56f|;1CzHI9)ZlrD|;b|U9B=-9j57LG1S9EeH;AWjQem|6sx5LbuAOkd(cZ%d09+^e54L|DnHO6+7{1OVeH|T#zBM!;m z3)$%)LYD{)SFBf2b=eeK70X)Wzl1x}$~7hng7==dSM+MX?MO za?R;WlF*>>ts#+!Ul1zh9D98BkEsD=@Cr){<;B8(R?-6|SfEO%IBnM(lum8&h!S%kQhqw2ch=T^ealnie4IfgDUjIsciDQ{O zzXEJxgEEW!ryf39^8i|{2}}%-%L3x0$+xSHZEw3k{tgIf<^Q!`Id=sZ0Nnv#k(LFQ zllC>sf)$tUjy@g(*Q>hO-8cO}Q2&OPCctZS>JjQAXV-}3=1Va z)8LCzvY&|)A~NM4fYdGIz|mf3f@hu69EvS==hj!$)??Tsu6!E0Wy=6XRdqJY`Qu&AqEG|ObrejMaHN1-&BdHiU14=pU;cQ zGypgT-j%CgSrVBrIW+x=l=Df8OLY-J*&$q1|D}fCo-Vnz-M1hy4H-Jg1Z`pPbxC@n zZMuW65#pybPT3jFzfqi8VT&K6sE>VEeqrql5eℜ5D`&xnE|M@s+y2Xqjc{t0|3B zV%ip9K-X&@rq~C_Tl>Te+8#eJ0SlOp;9qr1U3mE#&T~Eb+ zt!Gp}@Ih=Cf)y6fMl1Oz8h>69&Yd5L-2{8pU zLE+>idyX1(Bwr{_1{eAD8LrHf9(H`bW_wnx&db*D423UV9;)FSy72(>c*8hF*V~n9rctD`9xG&uc46&`9N@>s-A81mlvL$wF z#yJ5B37pdjkQlhV-IUW;W#NLQX-Ehs96-%fB9EbO!2S~8bLYac_YeRNb4n#CCjBR; zluhy%@9a9^A%V0~@gsF4D>?LMx|BPX9;HQ9aKPP>>YE0SY;3$Y8nwkk-73}a)e>>a zW0~txAsVdtC%>0p!*_{8I|7*>L}nM<^}nD=LSf;uW%iYK0!Kb z9tmw1HgZn66Evsz8HGHd9yba>9?q>`O=B7Fj&4nPJ}Z}Fmp{7V($m^@$Uy0XvA@efG-m;ID- z0w*0<89tkYo6GK3*+_nQCo7|hsJ0K5^nJi)nBBXJ?Dqt`Yy&JZ2ZEGcM`=c0rm}8Q z?vHF>K$zD?*UJCfpnv)$1+z}=-P4n~<^p{G*&yj}s?`l9ojikXMJQf(;PLk6A&ABJ z^T^)wEQ5oH3;uac_=(!9rstEa*Z&YSG1v5dTv79pw!DP-E4GZ(>JXWPNhUD@f{2XF z&N9c$=V8_CA5stxsd&ny6K|>e@Z@jx`I}TNcx&^E`o=FoGlU(5ANG^GL}&j(=3(k* zH##al?(Xs`nVMs~OirFyD>-2LUGg}wT$N7`s+!viO&oq}$AT&-I4@FGMRUe%u607) zil0c4d#>xHc8gV3TKYOMEkom)(Y{ANL8zx(Igivq<1A->UQ@X2U`P; zKX&M>(B-U`*m+yE@OH?ZW@nA5;M=53-LGqCr3r&!|Yc+anR;@ zj=%K!acg$4E@L+j1Lj|zGh;UYCP8cxoh!YwJ(mz2fqHRqF)f0rtS#LMI(RRQL1@Zc z*id#0u}Ja}>}|R;4}yr5Um|A?V2B42WNjTCnTOB+gs&}4uj}1l(OFNovCc5xkLN=+ z0nN^^mmnDM)}D@@Nh9sdy=!$|8$Zd8 z?PN4PYGu(!G6`$?ibqsX^}LX6hRo=}A)Pw0ffG9NpMh$DX=N}*yy~#_2yD6{N@9a2 zch@O}_7{QT@hS>D}LbyRZakm*Y!gtfGJSUIr%!`1F0rDuHFXZ-$u!ex?L=YE45l?`uvm~rh>1$YlUsm*Oq$GF@wumu}$FysblD3{UxUtcdZ6?|-YG@|YHwZIt{hV#~=ZS)adS-furPL_|I$3+{Ak=z zVF#l*>nNJyK6=W{doS60s~PT&$CffWvj^7nSSoJt2^ERROR2%#p`8-4%jIBc;p8H^ zzz1fz07XLs?71B|ouP!>nf_25SR|;^B2w;F%@|S2Muzi)JU?x7c}C{LP&I<*hG+<=J3>7yBVnV0{{yk*@K79OfzxVA^PAZyTE zmW{@m*_%3ncUpz2nx2^sKG{`qbnTw@I=SGPTXIZUP%{5^W0GrD$ISj}HJ6K=0vjh& z+o_Xg^1VEazoud?u)6Nxs?DIGc#%c=EH|gxCeWp+vrB4;hriB7i$%k#?P2`kc4X6% zd82Kq2DfW^u{dY-MDw_!dzyOUqrz*xY0)unECo(Ojn-oYvzdD5d=_u5O{=CT;%6e$ zeU&C?3Bg~;<%g)gMm@I8^zBK3B3T`u`?GoWL)+2 z)NFJ(ZTM*3?cUz+YcL#Nc&FD9*j`$lOvS|p$xD!Su;~%3uyQeK5L}pPgd9wcbRSjh z*RUhtry|p?dsT;YQ}m>ZpNA)nT!N{r`~}dSHI-)7J5!jv$Ur46B(A97GySL%34C2;>c~lzC)hSv?uRbu`v9AsS;;a{sRwbx2j7w6N0!6Ol>Sfv)wne{6-&_ zX><}NFST%t9!6y$E-;NI#4z}eHV0-2>;!sn5-ml2id}i~_`Gw+{XVcU*DX32$E<`Mq;sWbNj#()70MyY$-BYm?}@ z-nl-i^PhFg^0_AmjZ#O`ax+=+c(D2Fc+*a+*sTs1Lb?@ZNc`Hvk=SiW^DNE?GWHqj zw{+9&b`vSh>8i5WvMX&4KiQ6f0?Q$GrF*|1o{ zTQeMb7}b9f1i%WG64`qRG?5G}z}3$G`F8s~&SU$zZ5KR~okNVuQbN!TB@IY}vh;ohL>sjBN?nUDCl(<%X5_&9a zX{GD4{L-Pbe|dRHWiR*s0|x9)b?sA1A{owQXWepj$;Q2-(h6!}V2xzoohQSfYnaot z{5!-bmVl~GjGYR6m9(g-EX4@xBDBK=vlN?(3hgFJe@Wqltqloke0h*!2V^T3`pL1S zs-UP$58b%%K(m*0m)`Qr`Td`$`s~W)Tm$jd7+DbVjl!JwihD>EnFT@Duamh^8^2Hx zwO*Yi_aBu4>NP{}0l|nm>j`LhqL^$1J|Vb?!ZsRLZvHFrz*o_%*hSgqi4^6C z^mlqHs!F#_{aglN_*2cS;nS}4!!}qulCF*d{@}g5fgSg@Nvpg(Q?kncyjUJ>ACRHK zeuSr45urX;^t@DsWzE=jn@l`;w)zp^`mdMC=48n#;@L00DldE~OY>TstEFhbJ2aR&=TX5-USdY=xf~ooTDyF&k z=Cb97By%#e89LBx|C+> zZC47mOxW8iBe%J83rA?S+hU7$*(TF_dy>+MR9q-ybF)Mq>=$o3z$}> z_rhSIofQ&AZl`4lY6?QdC4@g_Pu1!P2tHqL zG0E!^Bu$Q$GJ}6{6Z?D4m_(3hPet~MBDH_B)5tdE1Y6paVwvu$_@|>0Mg;@4lqu7V zTal8g&$|8M^7O3!**rK)wglnuhL}P#(lIfy%*<*64&yCJ5AeJ;t0F%Vn|tcFe8k(f~Lz&&?$>;weE#~{vw1dO`n3Yfdom5UH!u`-Olj) zxx1HcVJ0^;WeKfMogPZsQ6LF`Wb``S>w@C{<1z3bK&i#v!AA<+yLNBWmL}djy1!r6 z(*mn(KYYK#_!v~SA*q8gzE>)X{35=9^;_V-*Ymj1;>c@JwwCVKiw*>8@=G%1!5w>f znsV!}V^8R(p_XPjuGkEuLW{5!$HG`mdfIC`#-XB!R%<7kwQ6qf5%j0S^j6}dP2l&Y z($;!wLW`lK?ZH-;49sym1C-kb1$ON%l(=CFz1gp`-Oap1rlIR}+3aj;ua*@g?kRf8 zV`_#^xTiB1-F9E_hE3Kx45V8`kB6^6Z4(QYl~Eod?iF=xcwNe&Dry^-#YI#=cU4G# zgudI|&cW2g3H;ez8wrg3DpuF1v05ek)gH~5KCJNuib^;9+nlcbGcRh)h(!*WXV9kE zUgW`Z|AxrM@T7>cPj_ixDf$+t$4_vr#QO_dp)jziPm4>4?UtVRb6e>15f+8DE$a*}@o2+Ex$D#ZckjaUws9oi$ z=7A0+=hvdspe|8UbF(Q`ZpBb9ZUa}Zt|}Ar0o%o<2ZLgp4sENlM_8>&gT<<3L*5n_ z+8`z=+4=YC8fCw4%bLm5Y^hfU>nU~;*L?GL%YN_69mtls)KG6zcD@bV6H}$B=`)8; zDqc)ORMBxo4+R#mtAbVeC%`!2pB`D&wDtM%=t|_@q!ehyXGU`f&_LdfGBLWFHmuR2 za4>M^aGrOEzL>JvJb7Z-oTtK}s}4}fJG3*++_r4_YLVVRJiVOOG$3Li_Raxps?Qhk z`w43n+9s4|!dP*Ic)Dg4^!TyIrM|Rtqz*oTRkV)*z?1-ppj&>Q?+iYtJgZ`J&B{Fi zAjAVmId-;Aka2>e)Z%p6jcjtdh(_{_H@v@SVl9L6uF*-X$$l4aQDzk|g`5$U# zjvpgKZ>zzRiO`smlFqJ0yLw(Cr_2F!9Yqc6=LQ}5OM*4A&FrDa2H2DpS)Wp*y&Mlo=~C!>af$_WglkATyLr3|7*VO~t9r(R$H5ZL?LJeF@4Gt> zL4k~?pP#q;)0tzNH_&u#eO}@F+x5KScpbaH$y-CZqN?!WV}$M;v#IU)>Ynj{5 zP0P`nj&pj zd^E{`2J6cIoA0>gO^l)~e%Wd+%J^EARH27?`r)eai3Oh_ViFex-b=I}HIz#^D4YSnWGb+pftYC~6u7Z7vzUVbKk$!4Cb zcIhl7%7tNhCnbl`#3v)*pwYfYSHFki$TuhQGS`2XBov%TAsr&~gC1-INMUtMOWaen zk_cWUsKpl^V9JS-KizR^X#Q}n4G6S^x6_jgzVh@xFtsg6GsygO@aiYka@?&t*iORR;#H%&-+C$8%u zES2#5&6msLmH1n}B3f`-m&i6i{_73&IwJuo|33gTLCn6+X74VB*Sb@Cv3*oau1n~! zmE`pn%5M)ghmqRt@_KPzm0a7oowQr4n>Vh3b?vR4t+nJ{xoxc$mDIW`sjA7fD|=uO zoVIiI)vH&ZefAkPV~Q(;{dv=~7=Rm}G-8}=N4&ecOV@+|(iS!~O%490b*X`4lO=EE zps70lmOA_Aq&jA1SSI1`KkpkyXgkpHc(f^K&VtO6@^ZPH&u7yoOSM#skYHy_8g5ts z*ein&_bsM>`s$zHyy;T--SKXo=Xt(x(D`kYPW#?H40iDQ4N927vR5|cSOlO(%j zVN^Wx4ApHnLSS4W>-g#-YuC7;39o_W6GPdwDiT`Xl5p|qO4{>P3KwB9Wj$rLaV8TxjJo(v3uR?|jRv(3Sk z`A8EP*9z-PXzWl@SQghnMi4olyM|qXt;xO5%*_c#WUV|*6L68P3NYcTufDQ=+&{b+ zr{jl|wh)|orS_K4ht_e9@^zG{xO=nC&*ABiZQHinEx-1nr8n+4v|(Cmfm!}~x!4g- zZ!4-@)(wyyUfHhg`C(q`c(&x)1vbpQ9C1*PI(2%%{7A-5vKVnb%Hf z2eJ%HUv2+$(w0Psd2Ve;MYwGF?oevzURGY>d_J4*dKPQGZ4%L0`sSN&zWL^xfAeqt zO%`i7);_cvyYq%>(0fa7#|9v;Dbz^PD`=gFcXxNDDP(#PuV24b)u*Q?Bg#C_X>9s4 zQsi11>|8Br9BZ7ok5ES2oCK|I*Skhm{IeL3u zLuJ2+WP#d%E9GG+6MW1|%uabG>0(vf$u# z>D+d$Qnl_wT3nN@X@~&gRrCcc`ZJ5Z&~|9Fq$q8NTUb|z^?feCh>9U^Spl^2aUUQ)X zVQC*z*j)oaFanu@OtT-LU>c1F_EKy(bHKWxe4zI^No_ns_!#xl?Qqp*JvXN<$ZQvw zE%q^!s1jkC+F9nt%@)S`xL(88{#{Db?pti5h^6$R;F7Ld2`BGiHhuJ8(zPD zog6~Om3WKkbb11CJTyD@SM|+$WoGD*i$DMTOHhbZ>rUwzF&z~%zY7^=@Ft8ROiv6q>I4KdA(8o4t zWfxlP1w%lnA-FLFX-n9!6=_TfHRH)?GPkxsQKYH*1|mJZJ&O1dhlv0<5(WB?{=V4* zbOkHd=a`x`aGi~YYjZ@f)_dL}o?N(+>_%8xTUukY$7@7RD7(x4hXcp-tNxa0gP<@H z@$V)ZZB=AE;Ne~|Hn{8;<@wrOhjhNtZN&Qch(EH>IM7| z|8O|wC{PI406aY019U!bUH#~vCF1#%mQ>f8dK2p<`&!P-mRPgiuWK$s-K(`G;%Y)+ zuxpk{AX+@%TjiI_`Et3-GfL)#;{{U3df^On#bzdvp3VR^`-O6m>uN}L5wKmY*=$-q3R@fOjx9)3ju)&<(+cz77{?b% zDoZmG^{4ROG9fGr5O6*`2q}nE%n(`0qm>17OGM6DC^N8MZ)h3)F^MbPw6=L$hDSKChEo*)k-TF2iiVoE)5kuXJS-Z4U2!xkW!o4&is6m zT=_0Dn+Q9%EyTGZmBh@CkB?t`@kKh@s0R+)C_T@d>Tf;$nG8T$_}R}&9RPQCcN$S< zPp6YavOJ~;bUYr-^w8V^nQ|2o+23KF{p?9M>T7n9%1em8r#pYs>^COo)vH%^p-FM9 z#RXGUvj(8bbGPgi8w*Hs}Z6GHilefo0ahldwL^s8Te3DEc7e+S^{=@Dzd zbbImrly0Og=`>j7l*HEsMIz1@)-sZ!;EtSHwn!mX)x+Vytmm_s+&#W54FiMpcmqI* zaDV?$XKe4CnX(>3VdCCDO?}_rR$Ke9=ap`*G)>J0y7YP}hl)_Yj$KjWopj z4VJ2DQ!yEqGZw2|RkO6^G$2?q%0aQvS8Hy;Eof=+z>jj=XM55BXmaTNr#TK&Rd?@G zs&~&m#kMyoV)U_KU&AAh7vRH`15`EmJwrNZvM&P!h$?WoTzrYv3`tHDwic~%kb(%9 z=gZyQF%Yr!Q07@%<7q0}vw1F3GcD-7FJUV_%(M&RQec_kCaGu-))(`0$f4ijvn{y1 z(VhWi?&g2%=x4Y6*V;CKyk~;TEuh>Yxov^ZucE$k4f{T`oS}o;_3%a)hD9$+xLsX- zRGD)iHOhP&DjnwGb2^x5u$-*ZU^wf@Nv>gEN9&Uc6fsT0*Fo8SC~nScA+-zI?EI(*+!{{5ss{{&zdupuRCF+^f&44L0JC-VVH;RkS6$^Ju2 zb-*+{ymE1yVEs)@mJ>zG+3V$UX|4V6!w*=yfL!mm?^y%RGOT{;0&Vtx|Q zRGe4ZU{2G)glbPu`@a9Nps`Qs&rHLnm5X3qt+pFabud-El+dHVm8!9BgB5FE ziu2*?T~^HzXYL5uHWS_lD*|SR_{@~18X?G*M9JAfGut+7&eQ_^=eO^Rm91cQ^kO3( z`&NKygW%R)0)tdRl|Mm1c)N{7S)W|mAAo=fQW*=aubW;z;LNJMrvQ;TG&KWdVQR!p z)z{%JLd?XBF7~dfa5F_9y39g^-upDQr_&w#U2N4mw~#mQ491DlH8fK)19ecgo3CA@lbdU;H5CujY_HVFCjDH{-_lhE;M;G%&1>70?b`gF z8qU}T#IyiS~5iR>2!K{cmQZQmzAousYJ`qdX4o)Xuopj)eX3}43)ffZkt@$bgQfhHM7C@Ja4hmqCFBZwsL$; z+5~108LO6kWDzhcudJorM&Cv$8ejE@e38kJ5f&AM@(3Y%wAsK$QJGzeDkI%REt3QB z(Hqt`yIX~t>rWHfmv^Fg1NrQ%fNE$4#R8&G(IBkNBmya%?-Xg=C~6Nu3|Qsq>1;F% z7KqZr0RgRXcO5D{ogN?VKO+Kyvm&+t2*!$m8%qRAzg*^NqV{2*01QbNrhP}LBL}zQ z5_`nV!z&e@V&fH~emM18+hV=}+HM=XeY*EmUVV2L2wv;{whJ}S8@Z8fe{W>F(bP)Y zia4*mxchUvJjM#Vuik@=pnX84nQjn&m*zR;DoJU5=rnL6+oHBD$KFKU?fA8J4hVk8 zpZ-yHi7=2NIbI8Hi@-TAU%o`dr%IHVH2LC-FB0Y2{(hSy`cUEk44?G#E68=Eo|TyF zpTqIxFGBX8DG!D+4eLdnVb*;PFO8=2Qvp-cFZYq2Ll=Ew8Hk zLD@5WAcB9$a1Gg{<+!7a%#w&|104Cr%?d1FE`W?jf@-+PBvlam0EEW;@}jjRo@R}z z&=#-RNZEYIc_Jdm=;@s#K-V~}bkq(+;H@sk332X_|HU9N(aJND+TjF< z0CB!R!(c!?o(aKRtIb`6i01jMA!j)p+U3&2jKK#{w0G$(oFF&m^ZDs`cV`W=BGZK( zGuw%o*~~EWHOEjNRI1xh-L-Sus!GpT1K(?Cco&IYL-V`%Y+J?l=Z!Qpa(8*WcE7HQ z^%6B_BT)gM>BUFH_i8Uhc)&`*F zw1F|A7*}Ne{y+cxa{$I^r9-7G=h_tc5K?Mx<(wNlgjlwL_dT6XuV24DolZ85?06(Y zCH(Ni4<`Lh{`lP`^H4-Ys`B{y_1)c_YH#h1h`90Pa=yR2fA#A7(8zF$%xP)>{U86w z@3Ti{rC@(wzkWT>^V8E4_RWRI^Z^g=drb-70hqZ+KFWzyrOx&@jp+@q-`*!uZM`xZ z6#6-#G_urEWqyv9q}xm`k_^u<&%Lgj@$IS_>?Bi^>?$5*iNXdG%)QU`qcKsps#+ug zW(zye5zK(85*0QE!A7qB8Uc)i+Z`GKJ+I9`vjH$AnNsXX+vxA^&Xmhn0wV@`?6s?6 zRgn=1iZ(wHsR{c-3n&gylmdxI2ic=xDL?^CMT7`s05^O?shZ0tr>a2J?0tRYmJa3# zgAE4}lhx%%4Wh~k<->C`h?AvA}ucJ`c>)VLEW{(i-F+-w@ zZT@Tbhn;=EvNu{aTxXB6qT$Z=t!r!hvdoskcRRZ+bDJs)SDRF8A54CS#%w9GTkq}$ zw=H3y#*N0;iG6LF;mQQ7l*Go9p-Fgi$I)_zrV&vm^PAi!8Gt%rC(Co646sHpgJ4<+S@EJv9K$ieOpF-7&nmoD@}2SRU2IJVs5V-Mgqt?{hh1NXIp< zlHMYD@!kv|6ky_KQmm40!PapUU=!Q_Ed;L=mds|ayV2_UYpClOfV87c=SAfDFv}1{ zMU?H#dh6z)s)gE47DM3O-Jz^nysIcQSOA4I+& zp8wDJs2piT8K_4CaY?3-A6CDGr?FRwL-F2|pEHm_d{+;%lPG8$Ls)^TnEORkyL45V z`$e^@&Z-@*Zl;9bYE+p>Bq9fk-W?A_m<|m9NYAIo#&kSPt$~<~4KQ~IL}23ZlJpBm zG55I6D=iYMx))bCzD4$W1!4}Vt{1~nR;$>)GUU8b<87q-##UW>E3dcZ@Aha|X}9TG zb=UrG8+@ajp&4&%L*+V#o3+2!XgiqI*89V;@V1>bLv3(ko@*0hxL?~(YrZIPIjxy1 zl)1ER-q7)(z+^2d(9di0SVNn%?FBaDoASFM|LsA4r|DU^%{0^jXmMKq#rFtFwdh?plLdVGA{dq15_ zUkw26@9*;yi>TKC@aolL@ALV50bq`g$fdKuzYLL7USZ= zET3u-*waRgM8v&IM&Y$r6XvF8UR9+f8mpoFWE=csPu+74)fJ3NLkvO#fO~T%VoIZV zP2d?zpE~NzeWHtqDFWGf6f^hkh`B7I%Tkp19-9S<*7B{ASvA~!MuxOAt{cfv(F!3| z%_4Fe08O4G*@@t*tH^3Okq^Y5k}WQyLxA=!tpUR7U^-RoYnV@QXa3F|o0VdINLN-ccTl}>cyI{Lyg-$UL(c!(QUHi zJRgQ&3%!b3>=I7Cs-zOpG)-naU}B)kb=$IR@v`iW@eg-*cL471@3Z?g&d>W?UVa4D ztg`BB({VQq%gyZ!A8Z-H(>%{gxVyV^SD&ph^Q+h2 z{qV!rOiXLWHan53|Bj4O6vF#80a$E~Mg1Uv;yg4(M{u3>I4VF&j8gLC5z5$L znoE%>%GWeWS@iSLVPm2pzlk0g@v1GUZ z8N^K916Znn>tDGDEp@S?&=|yoZYcjoen3S{%pt4ofh z38qoA=p`xa$YDYMD*}4oI8G1<3vZBxIBjWx1;hj}MT8kP^CW_XT8m8v3jQQ{24Bd+ zof3%p+_}NHp~J*&VgS-*YCKKtaA+@H9J%rNaw2y{)mr1jfd~-QRU*I_+kw_qR{qxZd7qWUX{J^JdZ5sd~GH zZ`bzQ#pYUZ?dDM6jZ}fkK(5_NYne5}?H*lg(zc3$0@sMM%}~3uS)9igE9rK-S+9pP z5DmdWEhm-eZcOsp!rI{7dH&wgkJH?E&XgLGFZ#v$dso6udrayFmFi&UO^Lvt2u<#K z8gM?J&*!tDe|wtBKe|2$yYW@L#WYRR%g1nHk6(Q8--vc* zVm_Eci1qH(t5>}zdxQA9WdmFh!fXSK4rVAkoQix(L#m5H{aYRR*KeoV4_H!F6D`z* zGAF7ToE#2^X_^c@(@O6g^&&L#T?$S_fu}>j3@_Oxc4~bvQMa6_4x|tjCbqfGY$2jl zi~4M=r>-Ms!Lwsk_xt2-)Euw6FH23~7O>bgTHjY8W{t)O!ElI^DW8-33|)pJLk$pd z@B@gd0T?e-i(NjAe7%luX@&yC=Et(!Ndsk(ERa;;W0=UJM9&3W&hNl3n7Xva4h13T z!dVHx5C|=?io>?miu-5Q}_pNv}viZP2NRNVnTiURUFRUGTJh z>)KYneZ8h1i-G=(-Q-5A23Yx=q6XUD=+_(Ra}9IX>b3|t2PF&4JX8b<+r|vzp4qlH zhxTmcmAj=4eW|_PGA-M8^Lik1En!R58-3a32e$XOqhs<0Y(AOXl5&I2%(QW5KNOn* zg9mEt4#9g!Kd0*U`|RgCP4#=Txl&`G){pb&?efFJJu^239}jk-)!M|w(=4we zkH7lzH$*f|85npg{vQ%;E>@{Zp5AI#{({oA#nGunAuY0f-mxRhP>-&$Wm!&mF3L&6!xkM3qw6oy|tmv4x3J%m&^L zTTS|CFSgb$my21h4;rUlT2KX>b=Ll@H$p?+3E3AfoVFCNSO0~-O-`vIA=CATJNx8Ly#UM6O#mY)g>S< zqN>XLU}?%Y=bVDp4C_}A2owZX2H>v!p$dYko#DWl2O@4>24F*AO8#CxVBS9q8BpqX zTkYJEi6=V&=)D`aVOoyP)sQ#9YK{&A9xv&9u9-c!A6a*o1)fkhY6H(&+K?syZ zA*hkEpM{YK#0gcH)0o&fU_6F-wXtliO}%$!n4yJ;E&V3&HVP<0(>;*)xGSgjzpAVd z7`cK?HZK5k>O6(&mq@w+MVVdYYgMmZiP-ZQFHuhzpv%cZy7(ble$b-p@Bf(qe{okt z<~ZMWKjP*~N-_VJ#;azXs$e3YSIn%g;YLds7A6=YK^f+mh@=ZK zG4b5{G_|QQpvILj^WFV%Y7-Iej)&Ixa(M#u;o*2Z(&=Oko|x(3et#YN)t4`K?_W#r z+VfkcIsww(SKYsM^KY+fs@S(?+xseaN*=J_jb=YH4Vi}yUTak@TsNv4-rXYaZT@Qo z?lK;kc_?{+#kDaN$X0Y)vkm@ju%Y$<%C~i)jPlSUyQs>~yK`pC6%1&8mwLm`p<&sc z+tVX^w2Mw_34_>v+qFDh&oePghr@x3r~5nyuv2$?<;9B^2z2zj-~Fx+V`fz_VNpNed%CDca z^QHGo@3Tk;{+s!7Ht|`VQO|Gb`|HzRK+4HO;n^b}rs)|{`WW-J_BqC!Nz>SDVVR3)CnUf!;&^J>ejX|K}Vd~OP=M(es?g%2j zT+o<-A1BE8SyIJqC_7Ox^k1|Zw)wXZ_BmVCHMF{Yx(i94U(p*Iu-$OCsBsI3x3BDC z;@ujblVOW}hX&W5nFcXX{v1&I79|g@+TxAM1JuHI`2k%Sajp7N7TDFz`g33gwv^cg zOS^EtPR=d0YkMe^cD8v?w9|(#qL!TXCZVdmBtl$O3moWQZ`QxtnNzd9hxASufZE9| zN5Un@(R;+cZ!Oh{Zs2LF8)v>gEpC88oFS@fee2pJc+1U(l3rB!ZsLg!2>Cq|Plv{= zpTGD5=#NjQF8WXZ^m`&Qjc0Os|1we)nbeE*XjW0gJM7m-nd;(Ly$a;Am85?0;)RB% zVF0bQ$Hzxoj}VH9HcK<;9y42fZaAFn%#LD-q%}6V^)yXp6I|DH1Y1i4W)_G8azZvW zZIMk;-T~y&ISOYlG{hCo@~uY(_swNi+WUI#YfH>!B~9VEBiV%&k6M<)0TUz#CDmSC zT(1lOiq;S!gHc+m zpx+rrgZ-}0A1;8rD&vO;1eI>U-QHj#iw$g;-cK!ri6BA>ZQOdFJ<^;>(GLU@<;iOS~o-%d!$cvOX|@nb5|<;2rH0nC2v@PVh{jJhWAK*%I(H|nx+DK@;A zFz#BO0o~RMT-oloko3<^x6vEwLa}N8E}?F0&9`^$0oU#}a-07KCLXS@A;}d)bfX&qT=a%E1AzN(RRBtXp~j-g}ou(CC+dXGBj-1Rd)+l zRnzdPWm+=H+Tm~zk#rJTv7dRo+{MGYug?ExXb&TTIR>*Vfj7VRJt+gAgID8%483Rl2H841K{WQXQTrnh6n zl(dNr3j~dzxJ0A@zw!XUur(2LV*m^m6(}jBiyz9UD#4E{m!AW#!@*+prLQnwzOuXVZ7a>|EfU>DT|?SJ{BP{>i*3MKk*@aZ zmp8ueI<1FySq}cyzxtPmS@G)CtKPeLQcBHu0H@O_S5k{1VAe?6?IGuwhyZdp9L)3Y zG)*FMxmaum|465)iCc@>`h{uY-c3yCM#Cr`Y~p~3L1>E@7hM*p(fdrqswTQ-BKI96 z!4EJ`%sfpQLlG%JW}@@?WFLzi2$UnKMNqy_alM+02y-JE_nXZsyzoT^`-&WNVHFJG zC!nocW5rCl6mTQynqu+Taa-kNOuNpw@#WhIaX-iBs;VG`s2B?`#4YrY5{#>+iMD@! zR*~~L(HT(c>QqV+K~xx=-67*I6colL$vbI<{8NGhhR@G&~+w$o^9{reU+wHE%GK z{CvQ-y)*P3YsRKNttfUk4f*rtZl0l4yCrXlP#5X}N$WZkmtAkcWgW8HjM*;q9ELTE zs^b4`PX|t53tP7>xeaZvk!!o7ZHv8;r>@mQMYRhk)23?dY(J2J$h9Nx~ z%(Cz@$gSE816rG?;E7G~@4N?pfr-N2ckp{q^UU*XM(0FiM!*Or69AE#hL3@JW(Hh| z;&?ooVm%S3C4jxf%&O)i$o-w=xv;v@upW=oJey+~R&~yDwLdvzvB!yHg~b7nlrGl0dXi1KI@I8ji(8E+#tBJ4eFXOh&-;e13&v-`m4*y zIH&U>t1h=mDemDy?OchQMBwn;Q{mb~%?49b8OhK&DOAllkV0VRaRj*MqA>Y&^&L&z zEh7F<-C}s*5hC_hYU=o>o}aB#6-4H&Q%!qEMRf70D&elj|6x=1=ar_Htt)Ch1C+uQ z*rIQgk-v}~cka#)lbj2%7V0vJOez31wu4F-YBy#UecNf6?s@-oI?eNJe4d3`&g6`FqlTX%9DG~kYq zD5Phtd7gWpLs)B2FjpKBk=6iEYn-ptlC7d#rByj^rbki3*33%8twB}Q0CD$o1B6pi z0x>f=dti{4na$&;!8(o821kq{W`rQU_w)H|<&+5OaJc9=UNyX7W)Fsqkeq`WUIfAp zp$N_W^|EONXpYTb*e_KTXii}QgDv2(?Gr=u@;K@{<&U)1*2a*V=!Zj6X5G zZySK;e_g-0w4Kl&PG_gq6d>Z$=}|eo(d4Z2JzJGZqv(RnE6r~xBg!qYB`2y-)o+9Jb-om$#@XTf)~0n^lM z$00J0p9^1cdU|S;n}|s7+&H{Yf;?VTnIe>iWoif(P`KwbqTn0=h$yof7tKu5bkML^ zRrj1zX_cT6c{re2in1pv&FK{6&ma(&j))2=g%j4LvrfR+l#Q4G%%$qGfhI2# z%z%1W5ftrwBVNJb2zNhllt9iD6kbTv8PGD0HeOC|s!Ii_x{IJiazJq!kV}YF>9bjo zqydPD!Cku7LLg$LF5P!)CRXan*w}%B0;I%^rUTP*h{PZT(cv&L(Pi$Y&YNFW%oC6w zZcy-$I8IalKwIO8I;@$~>Jp(sAE+8v0e5c?JNr-)hzb;B;f>ve5wQY_ z;ISD{(_S&~O?CLlOSj5W`;?t7Ig$Xs}O2w*5A;wwjyMdk`}e>(_hYn3vHG+YiD zYhp924O^t{Shbf1fnN_7Vwu3A<;P7#2JRRfo>`?64 zK3JYWi)?t;E8>v9LjP-kxaO?ch7V2GoW>hr@r^xkU_y4Aaij1pti18c^V0wUZx_A= zvfJ15Zz=)}k8pK0Tivgj2i%{NJfG$;?T%n(8ydXZ(>mF7!?X;=*4FCUJ7VqlwHj*` z^>}2L_(S7sBZp$E+7E|rw5r+(fc-VBuj^z(W_xrIns}2;S=Y#(b^-vt{PIg&`P}qf zqQv)i0`RszwhuWGk;w(0+1YoE{!2w{TP7(TCY&#GtOlVfO*kAH6hu1DLg5;verVfb zMS6`@ga8J+nLnkUn6@i^-45^W?&kR%H*r22JTRN6UR7taNq`IQclMRM zla&_rW!8uYrYkibD1(eC6s3Tvi7PXS5C{$2MTi*+6*o&2Hu&l% z1EtJ7zHqe@W0MrpsF|uy`sd7Dhm6$*On)7s{?}RE=qN`Q!3H?2;S?GqC-8N0-Uc3@RC!x)-ks-&$#P{G$tS{Y0I zBGMLK3@};?d$2`&LmKW6U*(@coagL@&nb47>$ujon&FzV?zVZmm~1GvHejIqfH-&m zZU-nUrSdgxdr_+!7RfChMS=BsCk}@fiTKdjp;cH));`@R_+e=$C~O_7lP6^=l`>p z%O91PNCKk(I84p`4BA%4d^k*vTeKX9!y;q0uR_XsceGgmm?s%#bAWXKTyDr7lIWdw z>my9tWt~EEmqOx*vLMKCm16vzbHwiUDT*@LkO;APe zb6xlC`fxa=UQlan%O4Sm_5)9|`@DyW5H|{8ysAmiO?Jx;QUL(mNL9F*TwnS;H(qQK zdY`AM0m|G&MLqDalzB)Rc9~edBM_~&xB7kM;%+u5S(XHRgfSYo(hZwU}xS? z+JI05S`Ak403P|*l<&g zZq^79+}*XqfqORt2ufoOcaBD+icZ9~-VtBI)c(Uy!y(uJPb*Gcj{-7(eX-sgehz@< zjreA$;yGYwi>j~X916b%NCy16TV_SELo;;ET5M~nSUk(mHGHTp*Sbu*C2!kV71pmT zgR2I(%G|~=|InQ*y!O2kIUA#U=zp7eON2M#pWUfgn>~zOy+6DjYwuFjwFV5+IJ7;T zT#t{BW(=9*m98?V1jE@w%ok^L}*OCFLSXq zZml(L)8u}*nP{H1OA6;q_qsCHSBnqv$vf}IUs~FoAve|tRlQs;21#8bC8U)m;#Gx3 zu*x^gZaDJP)zgH#l#XsxmANIKpq@*a2uz}V;zL*Wbe2X1Fh@WEoy~mHOsTpEfkb4Q zn(P0l7zQ=2Be#{_7oQ}mp&UX>Lf~>kiY|h7>a8Sa4q*#X%g<#~NMMsHF6rq=m0F_= z+htxTvt;whqXJen%@YubQcEeL`wr>=!tD*i`U^l8RU9*NHQgR25>cW~)Uu@-5z55k zx7lW9e!Wyk!HpKiMTA--0$PVWJJv_xPX|Wri{{U_hmSu)(Ah>3zo8175YhAVQ+xPR)wO$OZ zdgIo)?a1z(0l#7o6mG%gw%Iq@b8Q(P$fZTB69=%>5@~Gbwi)$jb>dV9yx;~ur z));`Q2U4ZQA8gOxQTq1VZ;8lMsKd1)u(l0uWg&>69C&Azxiec)V$UZ-G|8eQ~ER0XP>%Mw&m zN8X!};&fNANfMS0CaIRP13nrxNHxrML4X8oAZ9k(TKACYYU&Ush)%7|fQoYCMMV{` zW>6eBFwx;K#da4=Oyo4Z7crj1IgCsiY?4U#V;1v!Lx3IVAvK7Yn9-UA)(tz(@avy+ zSY-cRyP5->WDb*~aALtHz%nz*DX)(3Z5-22l)a|LMIaoZVg(BpbzWLn40pwo6B(*5 zr|{8MZcWWBT4r4;^BH1GUz~+1Q_~oWuoY1@!3c3{2jdwGNSP}IZDK>Ls>gN!Fke30 zbAZ8S?>4+fL3p?hd3T}GwZaGVRu3Wu(D`G#_C`FtZDiJxs@vCq>>HbRjX1lzGVgDzs~2=dFh8ULnkOq#^H;{;S_xYeJ`iemyoP3P(=Y>T zE!Q&FDu(=dXKTNk1+KOyB7_xaMhCM!G|5$oV<+&20L=!VDx0l#wDR};q)(B6-+p@I zB0HpaKHhe~z9*xQ%{Gf&-2voXkr#SKb?=qBN3+7>`cJc(m1tnm>WJV39fLjFvl+otGP(CQhb{W zKE{cyKwA*^_%UkXV29FjPlW;&S~oouIaCFN8LCXwN!^!!GjIJ$MBEtuma#G1MT&7S zD9n0k(SdQ+M(ivPVPsqm=LoKXrSa1^2Zb`oz_Ddgv+ORrj)P!_@783qrv@)}8k$21 z)xs_$@3$NZ6u1zo{**Hj0&iG`kciCAwb)FH(9sG%b`T2ANen5ez`!Me8LUi9jHcRq zmpb#3Cv2@%@q~2Ysl^DYDom^Ka5$)_NcY#>+flO0zsR%;i>q{Vo6S=BvX-w5Wt6u7 z`r7NaoA;bO@diNL%{(-zg1A54J#$L4I5rTa0S=0rND8wz}ii# zv^p=TExd-pbNDh@IaP4ErBy8_i`o)=%L&{Vl=Y!DReKd6Od8$>Xb6uMh#h%x#W{sLlp% z=Gi==EaPA@`vAK+{gfl%0})*=vnffds)b5jFA-c1vTVP(J08#G>1zSmzAH>qBWj|; ztr3X80JycuG^!5=lUgl~6rfB@gx=>Y3Sk#(7ApmLfGEHU0lI)o0QHj!xiwWZpL~L4 zAR4||gU!pV^swoQ?N17KchiiVr-9Y%NsH^8;F( z7o|Fo|5&!(aiODt{T8(#gm3oC%LQpptWYH=H=bv)X&e#|)(C~B zKJ%T73IR-Mt-)QS`pEJ`hrrVAElYJcW*w3)_^0#(5w0fO; z%?j!;d|I*xB!XhG_~HlDyfDNh+|R!)H|kWGIL(5!GPa1nb28}$2-8! z6W{}?fWJj#LRpxC2{V<0Bedo|UPPp|iPU7g5l+=XCp5wfMB5;}w{SoawpI&jG^aoT z@zXOSfB}L4UW*4qsM{rTTMKRp5T=H*n!~}Q%Zwc#`cqYlnBg#A#k5HXtfc081`dje zKuiLHx&9X-GaC@`SO`#nP5!NFDkwnOXT+fg9O6f;Wq@4WC>lY4RZZDo=Ld*9tgpiY z@1~kr2zh7y?{X3RRT9nyH=Lr{Yt|4TgLoOeoV{^t6Uw61xP_e0#*-DEA$DN@!bMBUQ?dQNz+~`8SRWlEm??%g?*-jJ^ z4c*+f@ETgZ_NW5T^!Qn?EB?O5ZC)c+CF%Ap+MEDXEIy$5Yan&YISeqmvM9Ultgtvc zK2%X#wR_sIO^La8nS^VcL+$dGH`wx2wIi=zzkd1hWqs>*3$ZtU-hX;)41h@`x5+fZ zf4S+aufFZxF0X# z_rHJjqx$Ip(-#NVj*n~ZKtV8&uuJ$7g8cd9$8Gg zEP6-qfmVJ>}EI<;6Xg0)aJRYEs*aF0*45F*)?D4$|K_UXY)ezwY_qVwEy zSc6F-P_ipjjARlPFGX56Up(A{Xr8;Os&rL7UnVBHf4EO#{n!8cs;g+l5@?C9ajc#mBjXZm$vRdA?QE zekw6*$+>t|;G12rzl*2lSaHhw>=-v2u*-dI39`!<4Lz+tt%O05DRbT!wYuqCBlU3S z+St|JZ8KN05A<1Ye5*n#orx&pUnQvx38#5C5xsu>I-j0Sr`=w^eED+s{C5G6;brsw#fZT^@D$5>I6X9+ z<;#xjia_ext*WLs&g?hC4Acro2>YR`cMrbYw?<}VOD1&ZjA=zmLJLT(tDy_6r)dJ_ zO#$Z>A2B?=>ci@jl_-(mg7OAO31#Wktv1Wn}q8vaFFjKIg?!KiCVxz zMR*S))7#PHG0M4sYqU#>wqZ~-{bMRXF!de)+6Z<;Ff|b+B5@;E8w`_InOF{LAF8@K zT}Z$Ib6{Tvf{9F+-vw$uQ=O&qX@J1{-Z>YRgNTTg7~$R06?n89m^cdqWrPdTC=&=e zK#kpm0#Xka%03hbVVOd!!S(J-IddR)Il3?-q&fPr%>#{DRDvz^oax-KrPVdTSrOQ5 zH-$IzT;&X5bug9Ogev0fhms=xlL&-X;!^)oQX zTFwzbcb8V%dXr+gLv7iTYnc8yX{hdv%mWIKw5@2E2KDQ(>#94K?XS8$04|ryG)?tU zD*V*#@W=M_ou*F=z(<~1Ya%+&vq^U6xwp3XTvv5jED;@#O+0*9q9F8tN z9$i}O;CM1HP0b=eD*zntCIf^D%=2uAz#1zfg{7%M(?pUW3y4dGlWcXHrYRUjipEpo z_|}?g0tJ&iH9J)>19S@A*1Aare_~Ok2yP7<>!z=s0Zffi@iv%`dBl-`A{1tVx(0qV zrNFLu<9cvPXo2w*0TokPoSY36jd_g?g8?ONM5fQvGB_^)H(*t@a~aob*Me>nU^==b zqTZDNZY9)|x&=hUHzuO6+((GU$pZW?uNd`=-&mMQ5lmBZYYI)-chFcvq2Fnc1X%2X z7PcaHO{($(Qe`%tO5t?&btA?ihm@Rc2uDDw8s(&Opw%G6|47w>E2}Z9RL0q6vQ0E| zWgE^?OomOt15n~2<}?RiV12a3*-#=(hY23j*?6j7jO?Sr!2v@jwz~nOwhTk2=ir+y zCs1G6t#l}Go9CHeblZ{JcM_Q1E@xXpeenhs9{~LpcUGWWj{++C+!7~W8EULN8*`qP zQN44U4mY?sEon=TM8kQuFqC}l=e0*SQXR70nf%O|kZ)yC+22sL-Qjkad7kI*zyBV< zG)>3jQ6mD+>2zwXnaSLZf%{p~CkEgnPhDj0-L|m9VVb6PxmajxQq_5uX(BrTAHHN} zxw5ksSnKSi`uzyLhG0PJq+Q<4mU|cYQb(K0Z_ z#;^`F+|K8EeT^R&=0oj5%D-&m8)#y$oK7d(AI*Em(9LTt|GCm92H>MjheIQx*RP+_ zMNDg?isNxIFQC)Z4u^@EFPFJ@`zDo0d+#QPJ{*=c_w&!c3{fIZrw*9QNHW)r21zfM z>U)0Q2H;cLOOyc3Xl}T6p3eYOJAltWe*o~}#RTAVdP31A49T|=H6mOtDkAsyhvGn! z8Z4+Y8@M%e<)ZM|4b+9KDSvfLrl8*E!{HdhkL3i(T&$S)bX8Xk3Y2f&54bfDaqnV= zDDym9)B)@H5@Rc|u(!p{ngdBw!GsiwHtzV}k75l)E&wh4(zsH%E*kY-MQj6Prm{8` z%V7c$i7_^0=Bv7>plD$B1kxHY5Ui0JC>a2ViPb_1$EM(rR}1)c0hSd|WK{ZT+y z!_7f+4V9$i!ORMo6-u-qX|mxbRZ#*9v{950XDL^vs6%#B#evT^ioXahixMw-ojx$j z=?7w@j6rZtA^T5ZFH(+T04&E3s-i+lV1}BVwI#X)W9&G=_@9G5hdpK$he zdr&{}h?pt8$j95O50=C6NNap^sr;1Q zPFjm-4X4%(AV3m<2-DO6R&BO4l_j1C_17tZX7eCQ`EmFgnx$SrGifb#x;_pj((GkBED$ zi9fBec2izYbLU_)GzJ<HU+vMEi zJYTZ0Fo(7ZW)fmd%NiKU59#j}cSmQNMO-ItnN{_wPT5~z+QnfNVqU}02`jIa{6_d# zYajTEEk@k_%(n&%SMLms+@igje-~1tz`LQp1HW;b2)lQ-1g{ONPq$!q=x?Q7t!{UK zDr!%ScGFQIqSjja^c>#Ob=vLk?zn4VmUPWH-6l&8LH-!bJY*>B$18Vm%gb{CwVj`osWywCVBj6sj8OQ%vnUcRWO_s+Y^mOw-g_ zgNDx^xG>CIvJgN9|7>@^yR(Q?_C46N20khO{Ipb;pdcv~0VDyKXC=b@{ej4AGZrsE zsu0n`flnt=RnrO~YU$eC9Kn#O_>+=*W>J7dIx~wvMab_NfssJ=K3vw{*h>8X%?~s*q4c7dVr4p40RozN z)hrN1m>8y+KqP^oNeK+o=?_2}h?dY^^*cj&AJv-IuN|abtWQ+b7hvr4Ib?1#mHD=87%W5#?2v) z@uFhQ=Eg(-i5;MD@P^E6$0~+HslmPR!wIRkLEFRcnoiL{8XIhWy2( z0XkRsl^^QBGwk9RT?6ZF$$4{^R=a@vN2P1%d>7?!@!7Qo=lw0tuK9PXetya-Y9W;- zxhmF*h6W5N2b3Z*00sAJ*Xg9O>L@-l)w!{y@X)VB@HOYa7z`-9zP0mrTFa{wY@ZcL895v-b{ z7jCZpKq)2;sW3vizKCA|Vrs3m#^>{s;o#%(FikDjE9SK8CDZ&7>9KnEBDQ97Yh$a_ z`NGudX?OwhwyCP=!vrZ1JQ#u} z)QDKsdk^2@g$T|U4cR0Kd)S-tLy3DS|vDQnvwCy*VH@`m=F`(tRX$EHm~v`3@;AR!obWN6SeYObMARDp@sHn=>vk`?K#|$5>2Po*4FI2gcEEaJ zwe!CRl|pE!HX$SRD>;q_azAxBN{x0 zM<9+S8KImkWPDlB(shDTsS5<^y?gu3a6^&;04zGG4NXKfE2y-nKL0oY>ibF8piG5v0}`UOx5NasnWy5UUC3K& zxdAJ;fNyx^+Ur^4ZtdHfl(Y9u49vBP-uN_8=5Dj8h}*U(v+_l|DE3-WyDg!$Pp7#UP>+O%_9i>kUz(>6jVOWqW{BHq5&qcei4AG1@bC&So1hwxpmDO zy2UOI2u+%-RKFDacKj#<;iiZV)O$yG)J%zY&;*MXP#)#GiaZwnC%7C{HU7{nG=ix} z4nl)04zB%y01Y-tV)Tp=${A*wLZqr;eVij?bHg~L7ObEy<3pKj=-H9Ix;7dST(v6t z>jW}?J!OE2;s{G+nwl;n(%b_Q=Pa^|v=3g1Dk)VUjLTquBx;Ua7weSlzB=C&?2FM& zjh?ET*rmUqv<0kXDOjO=yRHB+ztRD34ZOs*#x3H1PTRH>ZPU=sYY=UKkGo~wu4wo5 zYd33kgK~LZB-37>zLEJszmTd(*pPyj-^wHbSO5Jf`%i7is@^~d1nC1 z1GwMb#AZac^t_R0JH!L&hV~2%*v(eq__Y~0@J>~+D$BfFE;%S4<{`i*2H>Mj^QD{S z!s&FfZ~uIjziy*4p`eHk)8T?QARLugxKkYHJi5-|i;_6fWXZ zdS*&YrQv|bXjoMXrpfdOP2FN*)~BZ#kZ|hAMB1ABbOJyMR+_sX{s5`1p3vD20T$7? z`UwCjl(`X^?0b;_nbza!beg7vO%Hp~~AWKmiXrAO;CnetDuei!N;F zl>>zbOKjSo036RV+q2}WZQz^>5?vfWInk|m9)c|)CyM^L=VFj7LB4$c7#Ul0&!It1 z2k%xo0c0+HeF#tlf;MF|iDfNt-J>w=_5VEjgvN0AU9&ccu?VZ;m12@q#wEJ%LEVVJ z2+j(s+3Mgc{LH`xD4S!JEVK+6lszn2=xtG$LA&=N)i422fSN_90D(xlG-m0c(-r^4 zAjT<5lx`kZFXxMfquXC%8i3CB=`M`US1K;di{L_c3f!hF=Zz5mTH|Z`whHT6&k+&P@YRZIEVS$iXmOx)2mLN4dU|WkQ1h8bWZ2=;4 z{baIXJ)cj<;~ikfN=-F<&l{r|UM$&z6T7rDr;w`Kq!xSh+zG5@9MaZ~Fn*wr!Pd<} z1n%5D1TaY9_X^XbErjt{wmmG2N|dLmGDCsObpfj`##U8ihycf|u`w9FWXkxO$Hlw5 z7%-6WIP513ia5j&6}D3%A5S;RWoGgaVha?Y{I= zLfl3oc1@f0){c4Zt&v%kGf}q#8NfyM);=u!36uM(0$le=VOHXiYrV6VYju_iO29n# zUoHbs(||<=AhioshZ3}yLSDnxyLal}EcpgjyHV^=?-mOVF#1`fDXrRq&f)$b>#cZt zdq0&=u+fLvc3&e6C2zZ|s+A2(MxP@ZBodAgiuQR%(w zqY}~GodJD_$m`b->4(FicT7`nt)0*Pa+&SRN_}W73zMO=73T_|G6wl^z5g!%qLXS0 z7U6+o%f?{zJRT1Ke)!=M!c-iOcOqg@0?d}n?oX2taZ~Pkv3Gl)Lz$b1(6n{w#tbMc zW|v_D9u_AA&=j&>6480?CNrLu<~s{1el{w<6{E>1~(FGwE3=COae^)3sMr8aVjNm zpqk7?a1?eB@24mpo|ZiHte3A)Lip@=Mu=4vLLm@K{;f38D3u|D-ADr(T}OmaT+gvqf zvdc6bF6SO}@mAW0MFjf;p0MZw^2;xHW6cfLtr7wdg6`R%O|3Hr8WNsWA*k#rIebB{q{y_xOilmgb!soXLRx z2j*~?Y!dN+YdO}8>fS0l^7!~@M=k))=ksDTRSGvTgpnm(GrfoOi2?XHQx}=%-h01X zE(#DaHxg0m3YbDje|!|v35?I*=k(ScSosK%$fMr*l-^Mq*3zK1tssVWY?Uvv{}_)( zhYK!%QmFD%s>ypW2ekmJfVssF_#23j%ptof5e|pRmN2_-vVT)aO8x<6UhMwSfZ|#t zp`I>C+E>ipdj?H(gzb7w)@3mzwA4+ZlnKLEP#5i+OuQ||23pS+kY&bvrMTnrV#m`& zZ4ExaL@Ju@>>cqNU^gGTUam88>hXC4psQ*q46XPaf|`M8YsKX*#Mukyg{=5IDhVFL zyKYi{k)EN2jYRA=8zd^J2V{Byv9Xb=3S6B@O#P27#7D79FrLAj?KsqSWH| zf$iqJcC&tQyXbt&`3x=G_O#v^3d~yaIRs~9M@`^wPHB*-vi+nfWq9}28&Lqx4%y)rTC zTf=bgGMu-|*|y=mrB4jNN0^?TPR!i9bdfFsg>YBZZreYUiA3ahJX|hkRhj2D&$Ah< zoK9{Dz|7M$5vjq=_?ScacrBlc^vm7?f8G=*XC)shu?|d3OyFDMbtW8bk+@cQ@(DfH?gewNd;6yB?=}$;06g;1tTUl^*`Anl++2{EzESW#6>kS*r{qzc!Lt*mP`6xx}a2BTsTR76lej1|1FFSA+9^;ZDy9v<+EO#>3GfMx(^!&?Ka&%fJj zH_-Mq0JOz$HyVE<4dvYE(eqPc+%0UqmInH4d5nrFw@7!lN3|olZN$grO8=J3-Y<(f zpU-)n$T+7#davholmLoQVnfy2#ti*Upu9`NUFy|ZGS8Mz*yS8{o41S6YdO1R#&*2) zBAa2P$WxR`e|z_Gxja5TK9rTAjy`_Y^oarZIMY1O^X1a#i*(`E4DU#ni_X(D2`j6L zc-*4=uIBl2xy-ptht=aY=^{pb!_80W&rb_hUEQSh!o)WyZ@`5VN*e0^B%;k7@UwJ_ zexM9kzMwW>fwT5B-vBMQxNtaswn zwO29dyJDME?Qp=`P6qTNFqWGBIy5*4B1$_04buw*3eU=ot8*0__qjyg4{{=?BF!o^ zc5aEY0!km2_Q_jNWHS@dQk{3n)%jz}EhM#GlEZ)3ld(E-#^z5p~72wR{S-pJ|#5{bx(M z83>B`@{(zq66L45e{MIm@PTv{Pj6|sOUZ$H+YH0gfjC-HCCjxo><-Y-o?37AD9v`U z8PMADx+&M6LnC)d@$;r>mmF^~&GY0Ruie&KMDp-<~?zB$+Y*@k)E zpXG|dfE|E< zyDnn|z|<6~;Z5Dnh0<|k4iirk+uq+FY+?XVZK^a)jfgInd77sC z`@3kQ%_vpX$H!AFyY?OdI!#POt#M=%n3qz8A^vGk`#Hr;&J|AMcu~Lj^2%`uy(xXKk3n7>48a4wKv_aQL+eS41q7gQ-)>l#v zKR^`+sA~EcQI()+m^GVMAD_TPIfvZuW(+s7L zpILK7^xyyc|KINS9tS96`rE(#*Sq)MR{F8wU3b$paE7(SbU;EChiPyHTgX0Ki#NcV z00961NklQg~>_(4G2LHJr$bOnx*}YBT?IIwd_Vg(n6AkTC%${1jU{ole+G z*QWRD*ROZ)UrV1(06xMbBJ(`=K8uKSQL_YWAa2Z#eQc%~IQZ_nAJkp47-)FIH})yL zqm-!i#^#l0GGs106KgIdIQ)t`vOJ~$jtUT_scF1pbB5eWj1uT@exX;;OLU4b7jLpLyQSW|EI!z%y4`e(|DTcRZTHpdToh2w#g{fuvx#tAn z&i8_JCU+-iYW#ue%OZSkx-32|a)HGjc5(7(MJ$_yy4H_c0N^0Awcb?!qa={~-T?|P z#6(g-y@t|Kz+&gVqCvoN1^^9&9!AmtT65+|x`nBymbJVf3DmkWy{)Zh!1wug=-trT-M4njPf~3EW-qQmfvuC$lwrZC^NGS7Xxvw{Tyy?FDg}c84M~~Nwx6IoQEx@O^v-#{@K$f2H+!1eeQMw zU}gXof=*RM<^Jx7sT~fJs%bm$G_`r2^Yht!NE%0k=8!SJVSoHfH+}nXlIfKsc25eI zJ*h4DVPSP9yM91;OI9FK78TWXCGgpwH*s4JJhxVu|zO!qIs%(NcJC_vNH zdhY1h9_EOdH8j zWWI0S_09Ga4*1;}jAhfrh-9#Pk>eXGGzI_ck1Nd(LtUBQ!6W5Z+QvW*-@~sx$esNg zV0D&&0OJ!>h@DaQ4H9ULMZ)>FqMMd_fi8~wyJ({P5KXBnz^x_k#2Kq0#QHI`YW%<` zMa#Js3@f5j)<1V86pi8F5tbNRbtaT?wZdFM$SjJNN*OBZ?rCFejFqBdXr6%%FP9mr z(o&8BTMFnCe;5(Xj*5n@6kp068^z&oWHLN*cmue?a zf!g5qC*Q4ju@&8%tm+LqyA0qb}lcC8BLN z2Ou!(U zGn4R%0r&{h)8%|RoiCU9d_H#(l}XT{0_Ay{CQ((LCQgTd-+c3pSqK3ry2YM!^z)+u zWj>{MnyxMcrpbe4u~95IQ;$Jb>xR5Rr?A)32k$&FHpjXnDttK$8gc zY0~x3zj0}@lZXI?WcAsgD4#-N?3()yj#DO1j)PTQVMnt`j#Pd3$RQ&vK-M=Gf3K24 zOmWKu*F;2MvG`@;E`7{6kCg<&gb*y>Bo~QfU7rmA63{rJlch= zyZ0-odS<=bG$85SM-}9uz{=Y&R7={ne~V48(VCb>JFypg?}x*|ECJF6z-$AK$D_$>jA!uU;@|{s^lOMJP`wq^9_5{Zbg6oDo7Wm> zxSbLM=pR^uErn}_?N|)u4@UDjV|PdMnhng)l|C^5A4%fI2(7a7>2#jY=gWDPewdo5 zK#9?qSm%B@pB^DoYsZJXmoHy@|NRf95vb|!Vwsnk^0h#OhWRc9biVj`I{Z;mRvjh0aAfM5qNHWLcVM* z4sI!@iX+j>Wu7JuP^{t72O^qorx7AUfR4vQ#9;C+(CBr?JlL#|zT-zb;xOP$Y-&P* z1FH&D(#1f(QowIVv05NrbkAWf0db6=Dk{zfn0z{p1GLtp(2R8(7}-k(QsBR^4%P*G z29F6~Hb)0ZM0}Pft&$)5*mD)(lhrF;=0DlofS6 z9u4;!18_Q>hS5yRgaP$xq}vo5Mq#+W&2w$Mwj>?y+~&b*IoZ1;POUxm3LsQ{s<)*) zc%ks7n9$#REl$%UB8S5v%eg%n-d*~{0DOe$GIu+$QxW0=2t=&#O-w|k>vY#9qVwaE zTrO!9WRr3zZF2&EJu%p)^cIsAgi~+kg&lNK%|JvZ-AoVA+jlJ>fI50pgd8-b@3e%M z@;6&E@&B^qnb#mynI;aiZzaOvFol0oGA<$>k%%z2XTcSuZoYr z3s6l15U)3P!E}AGzBK?QEuw`iY74Kgf&N%$m?My?^Eqyng-qbUK|*rzC|TdsY3%fBeU3n(`nk%VFlbyE_rNTrL{M z!2@TqJCs|vze~ExJXB6;3-_-v05?$nE)TG!{B|Z+`e%D;3v&Y3r`DISc5_16KAS|_ z(&Xn#pBR9TDqSu!F`dun%VnNTLa1t+?ld)KCMH`80G_)ZxV?IMvPpb8r7j2E-5u4{ z=@x9W2<}4k`zgJ}RAd1#bh|zQu)h*{{iRfC&~V4unmIcRsHpia0qDK=j?X?j05s3; zZPQ$Z1p3!x2AJ*0IONnsafl36GF@tv;4=63ck_IiXUSlc87XXl{^~;8Jb-otZw_|E zMel0xKMh62ELC}d@NffAUQ9I|9IC-Xb-fp-ASKLHO{}Q_?lg`RvK(^Bv=iOoe(*LL z6)vza`W3LzP%N!u469uevmLt8Qi);}Xw&#Lm&gN93(F8E;~?!_hDbpGq)RkB`sl&D zZJM!hEfi+N1L@$N`GZG^mf1h%@{>5$gB8P*Y#ham3eQqRi^)XcGLqf3!IofPRt(r0 z5acoy`?25YB5pMfV~UbFP%{-)LKn#~uwF_RsJ7PT-T^R*Zf>xSK3-d{967UaJRao3 z*wo)vx&~Wo(lw61QO@nss#;6EKp-vb!NF%XvNoVbvAxmeXX3MK(6;`p05Q9E0|nL( zIe%WOcZ)|W1CU~All_}M&*^l!TrQW(g@_J^gSn{x{`>EV=^6Jg3Mvt{J>Ak|7c1W;S{>yrny+bl|Mqa#r+JDp^mNE+ z^8U)$nBIT-T}4s8x>5DJPM;Wnk1eHhUsXLG4k^qN)y8x%KA<&=eEMJi;h*mA?@T$w zRs{3*n8Mmm={=`6?mM~E*os^qN%;FwT`q>VZB?@S<}sa_09LIY1Bplj{Zn0$3xsu! z#pVo=Eq0iusrPg5I!zpAVPxJU4u>{h%+plBL}o;cTg@HaK$m%SSxrK9@QzUYrXtx7 z;cV#PgVJ6gUSG0lkY@=vrRmYfy6eRi3A3uE2pox){awFy<^DPbQKc%#tg#n{%Cp!9 zn1vC0K&<2dRaM>1zbMd6*+rzw0{un8Z!bZO0RV~1>50gXs#QSEYKd5$!U*4*2o^zA zL98ywCvrOn=Zeg)7{Y_Cx<5^{N^WugJL;~Dj4N;|=FAEvKttHBrn=+wQpF;PSjZVO z6DGx1kV+?jiNn&)+%%afUXG5!EC>8AYZqpkdpFNNDBRup1YymN>?JL6uRp$2KKYRl zgLrj-?-l>u-cz<1aThgSduzy6d5J2Z-OW(jzr~$HEw|HpwH$eX+N9Jfsro$E@bR|T z+VWut>~Grs8hkhUKRrD?K0caJuZaT9(PWnJ`1ttZ#fxvh{r2mxzyAF5&+Wy0J#~cA zx{Pc9<#-WEzhr@B6=clI= z5dn85y(6OI@kj)q#hljj`H~;e{rxXE^5xH%&gZ(0EKV?w$GUAGu24m^u@h~?F?={b}t)6A?9LCgX$^05P$}MN|NEnWohG`tr-q%lEsqgd0a(Jk0Z3 z@WKCqq>8|HfmC9wypx&hM}52GdZ#|Rjg}0V)dp0^xGg~oH*yVAZX5ZWY}w}B!r#dM zEHk`loFkZoYkW?v%lgH8$qGN8&$Gq*oM$@?`0a0htE&I*-~GER^YQWV<;$0+)9HLZ zfByOBxx!QU6%~==@t81ofWMUv^?u#LhI1HQ^E0)Cp^)1BVQS@qlh<2<>mDPzJ3q6v z!<--ZoH_(`6c9XEEnHQN^2g&biD2wX9dR?xw)Ai%viOY|_@mM%2H>MgM0CDfy7Y80 zZoU9aHQ5v}xbg9LXpMh(d}Ll+dWrO$<+cS{VAs&dsOjxYzE5d4)l~=ubjEUH5Wgyl zEa`F)K&HtQ_iwjsF{X~fgST_LUZ^+&V5WGnm8zC&xO zGCqMQtY85m_HS8~BKWskZz$(c4&b!TJR}fE4E?3MG++ttEIs zur+8`)#bp10CA-5EU$xp)X^d{bcx6XM5JkL00p#nvG@hb=zaDXPHYDdHhYPvM|?xL z*)JU?p6B9-S4rL1D^}^|%15BqMyHk^N2*Y)qVxQzR~&lUMFP+Y?zbi9{o&3Q!D9`) zw&-vR9EbbE^|rq^es0m~Zrb9)q(Gw8ibqXFWLv&&I0`Mv9;Lgz^z>wCi3s!D5MG8p#trW0 zPqBzB_EltFNgx2t^SO6lvUO4G_jgUD#6!I*0GcK?b#W{!T4G-i)l*2b-E>(_YppEx z%1q&M)ZP*z&Q&)B!^T@$S@YcQ?hdJF)VtTqjNX;GnX-@}x9GUZaCMQhyF6aSW!FsX zk*h%v6^>mem(c*>A^VRNTXmSSnav*#D=rZXhEnAp*6-;;fXWvvkli;M&7DSr$* zO?a_1F6KdidvCGz*K9Jxi<2AxLbt&UZ>uyB143Yi2$%!;$2e&~c%u{hFuJ~%sv86c z#e;v1qZ_F41yE6l_AYixP_%tOg04MAY`0(B=6QYtwl@dhTcK?w z9M|XGGX6Sqt1Z$5XwS}Qj>Ll5&i2BH$dx_?6}Y*)hVbBeUn9>$F5BaYB_yS ztdPB?!`5zPs2g$ncyy6@_Kn;Mh;U%W7bsvxuGGclQm#W!tO^ea?cP&^R)(&d?bAMy zoS#}aqZHK>fH;ua#Vf;VmKPNyRq!;xwO!~|VRUVqt{Iiu@}acbxa!8!Yml@yY>V}u z^Lo8M5U2Jr@iZ@*jh<57KZW!|+fsMm-aQ_VX8Tv$kS7C)+FimDE7evHeoKMu#nArR zwK`t4zXL()i?=gpfi(^9?oN-IhNr`18zz{o#!394ST6oUYp=7kS_^)T^oarZNYdlu z3Bd7qF!7=SbMN=loy%q01ZFVPG&Sb`?LYk&ivj-GXLsr`o+vFc?V|?NPP9w_Y^Fly zVsg*X&1ATy~l-1)tR(Ycze8x?61sbM|1J_kaPT~(MFWZDI8F`VIw&Emz3R4H&g z7AY?h?jvDG5=gD9i@$$LH$wyq1!ngHMu#vPSWH~qgg~=E?-Y6aQ*5v5v8rOYp)i$y zg*m5JRaN^EMRG5(ca3ecShgCbx3r9!LPVHI046s5_y~YSQ7QadQ4AjfR4wg?s=L_) zkvVK4f_rUBReQtN0%BL=7ezDXL~U6C0galU83@ctlC?JdwYv8pzaPp{fQADnz|^Sx zmxzGUu6>mnvye7s5Tz1BPI48=!~3|vVh|lLLZmp!D#>ox{dpE5etJ3sFoy~sM;dT8 z)=&lo)8{9jPZK_Fi`|7~yC8m-E4Y0J0ley?EhxVY<%jO?Hf(^l+efrFZFWl-uFE2? z3CD*F6k)&8RM)QUr)4wKUMXQ~?XAPXgR$7IVdrv$?Q zRg8WOUT227J|Ve}DxJ?4kq&p(j!;)X?=np~O^11&|I_dP@&4|3 z#+istr+J?H!-M<&w~bpv#riUlkFu{0hXY?O za=FaY)N;ibu&t^xx87HAxR^QE5<(G*GlQs!$UI9(90>z$jT+>E`TCB%ZogNFBy5>{AGMFA!4bGP<&5s=QkrxZh#h|xtnB0dF|b6*=pg#{Vf#R#f97ax6>}b z`cY67L5gco9&3svwjS2`{QQTD#Eun1r^@A^dY%jHmd;f~%@HbiOOWrs|K46P_P{1{ zWkQn2u;qO~{~Tc-w}^i?-Izt0($sh$awXKZ%h#rmuDKd3VX&zicz|sQwHAA~_F76b z03ym*t2a7`XV2KTm_E*R>MuNrNag;+2F1k#)6}}iix)4L`P*;5BcjL03qY;$;o$F? zG&&_WBKq*~X{x-$&G!5ri z&H&(W;Ax_-zWPQ)e*NpuOk{%)b(n(k{rw$4({$JS#e52xoV^+ZTh+GKrDbrz{V-&S zh!0@gi--aiSxl#?&2!J@1siE=t4re5A~adV0EEarocEJZ25eH5Sp^mZ%@u!AO-S9* z{vrXg=2a{~MDVbZ)4AYu*2NR2?6U;`reL_KKOsY!F1A};j zMY);z0jpx8_2&~TW3eR+cF+9=&#lfl$}p2_0|;G|0SX$550FbDRh2@?Xf;3qA)E`0 znAX-8QK%Z+cfuJYYusk(T26iv?x-rv{eL*@af&dy_BzWg|& zq^s6Z8zGmjBp0h$l<=rZ0k$~@l$JNQMQvMEUmr@Ycys`f+dgK7p$l8+d98$PhFWRb z``Z1A|0>q6V&hs%V(tNn+65Qi|9R8MZuc$RXWqqC5SywU-2or-aE#Bx!}-`uzFfL0o6SH1sfq|c zrMH-d4e2?r7@AravPk!3_elq;=kqz_ znnVQVrTye)uT4aWgqi2r440*~cDcBzQ|}&k49-XppwrZfGYX}U$Qyl#!AiCbGL!FW zPCNsNj+?u7rl5}_fU+sVpj?RPiA*rPsJ7=2kY7_AL@YogA`zPztvi#XJQQ)0U#kjn zpwT5`y2V~oOaLrvAli64yV^ttygUAhSREJWna?p-4Yy(=P$7C@rli0ZpE-dkqk zZ!@qKg0^W=F%~d4^}1`)!uc4tkv(^>oz9;SySE<=+Ns%l1ejwcOaPgUa-XQV!&MT3 zAE20PQKzUP*B-6dE6Hc&&-oGg%rH|D8(d~i-?a#ZW(~_`h*C42k8B_s>FT3etVZz6 zbT}N00r*%`QgVy_uf38m2v;P&nPJO3=!PGttvmy4J` zVAB**C0Tsy={)yoLTl6-Qtt4>58v+A`>+4?uir^OKbG`A{ZIezysqo`=bwL`3(CLv z7ykl)sa^h$|KtA)u@v6jeJ0Y+XA9Ia0eE=$0)RpG)9DGmD*1LW&zBUHwkEG$z5ctu z`>%I*$G`fkziMrorURhU#J$T8Km2e!9++(#IEc)>+rnfj{%V-dpj5W`a=9E1M_c!D z^|m(5v)tX8%@c{BH9ntb+lE@h`8-ckOPjRlxUZ9{1f&hFq)2^H12J(U)XpNBIW1CE zc$917Qd01|V0=^#VA$%1~#?IJO zAnT21$rgV^(Yy3+o^7;uJM=)v;}DMYwf9aQ{fdc*S_?70<7rN!FlR7eRZ@X+B5&6K z%z0%VMVCe{y>x!Vwb7EwN+6P+%Mq9XMk7*a7hxs=NE|_us)Yy(dJDw~Bw{u%LkJK9 zJ*cB@>mB>CH!?g>IWd!owUaC9?m5&fQrOs$K7&X^$sD8F*b*)#nX~Va83bhj%5ubB znrCGev(h=AmpA|-?|Wukfs0|)c zt!Nj>UW1jpz1X&`9s;0z{#EK<1^)>yQP{1Dp7UmG{q70W?w`+RRW&eR41k?HfByOB z0KWY4O91!x_vRizw_(bfznv@mk%`=5wjzkZE40r>T=e_ab1 z2=dd@CkEgnNg~vm7>GX{4(4LTB)$N(*340(d5R>W)9FmH3#MBa1d@S!Z~P?te^==_ z8!gh7W1XhyU~XGu6)@;*9yWWTb6Z?2YFqD@Ja8mJYi6q3ZP1w~k#jlWO(h?S3rj?l zOE3@ysYE35IM40wjt_^{yPi%Lggg1x8qwUlOjBETr*5nU(fk}Bpd`Ya7vf5*Kx&E; zRM10VT^B{8+&?JvTQ&>&X8S}O0yx%;cIfiD-_lh3vAT-3x|y*`*-;Rh{g&MVkRgva zq8NLFm^JLD?bxJ?N|$gGq+Q(qk8QGXt;}qo)RLx4 z+L-6wg9~xaz&tFabp;b5%{kJu4@$T(3kYWIH8VWzp zEUK2aQgs7R;!GvKF-_C)cr^9>00~P)ChWI6skZ+3_;@~_t*&rIts;_cKx>;<%ldlr z*lqtVT(*nBJh!Z?tKrkNBGYbByVuuRo6~P#7={Mtk}}jdr0xBI0=q4LKj{+#@R6j$ zVG$1``nNN{X=+5sYvvY=0RSooRuuo5k9O+aO8dkHytQ;=O*aWmt|kk94}bWlySw8TUwlr)y=(9N)vMP;^qb%O z8o>EH19U#00T9ipWfLo%szRhs6FojY&GYGaJX|h|0OPywUiU6ve)(Bzt#>`2yDs8b zty`lp9wwcw42BsVIA{=c1sh_+iUz@$h!+!5*EtD26UnuD*jWRPuGpAB!vkYu|K*!8 zQ1!4w{U@b&{0s+NwxZ>NR>SSwi)PKvwlI-0dKVQrUuH84>AgeEU8Wmgbbn$;?HamA zK2PFrSUAw~#G~_?uN&qJt0p2$EKoqF$q8$xKxQw?uD$Q42MC78tus`ZSfK=t^B8Xr zA#~=0D=>46-h))6qy$i7qeaYlc9%mGw%_C@3;>oWW*Kq7hM+aJ^G|12dYl^|43T~O zd|1g3FQ9Wj91a4R{S&yfiKl4_B_$#Pw?=SBx5y9d+BY0%;Njt3Rja43k2q;)bq`pl zBAdM40<{4E?ZUyjj0_oSMXA3|Yf)~#RU0`pZ^*FCwhIAov^-n8t@PS1kaXklkGySX zy{N3$(DL5<<#G`b^YWSQ`(C|zW#~U?RSy>K?(UL|cIWZ&vAX)Hh&&NL70cH=yV%lg zI}rKeE;TImPi@WsvDGSzoy8{PaWKczn>?e1-MvE5Ya+M2@XL?P33Je^*Z ztpauNvEfsthlhv9$H%hF$vpR5UThA`^GxK23E>9RR;4^_wF3dVyE~emXYbnkY#u+S zX;Pgpm(HAVVQe?Dpfg~`@puSx0vDu*a9RQFa}V@rvRiT+)WwK6f1sDkJogCVC(^scu@V(1Xr3?9RpH)3*)|VQDB*a7^*YB4^|~( zpQr;w!X8t(^wkrG5{|drJIoY2B{y?0nukaxM^sUT5MWw`MlL|1427aAHzsu*A5jnx zj-bHq>oxeZ81&pY)uwt(AduN-lc+hdb*@sOjoaL3DD1C7l_m5fVcKYInz#{x`0nuP z)uSJOz!lM&0&wmJ`Rpe8&vXqVeymB>uHv!AQd?wPG5QzlooeI-p0Mt}*IGpg*L8(=k9qQq5FuZ;` zod%~>mfsAn9v&Xd1GoY4M7kB_SAaecc^IQQF7<-e+)MU1Ee*DKdKgggqu_@PIcb**ZAR!RTs*RONI`r{w}n4dqn&q^X({xl7Tcd4pKc6LlsNUZn0sZ#d@6YE;905~nlbLya_ucn^sRNlqNmDmRYjf}O z;V?y0)jUqVdUZM++}VF?lwyp*ylI{V(8FPx=WdZ!ZS6C38`T+9R8{51^V~%+H5OGU zwTZQ>0dfTDw#keTZi~2aDYqq5dvE|Y?G*%fb4jZ`7t0GPic49)Pi$U&t0CQ zT|Ua=u*ZRd$<={wufamvCO9eDM5%cs<7S&7B;eV)Fr2|o;g`EiaW~|^amnbko zR6%~a5=@SD$}_oOTLH4jx68W-E{Q#dO`70)>p z1=hxF+qrvx+n(KC>_WrcX1|eKwQJj!7)Gy!Z@Zaf%)i+@BD%l7e|&t*!c$>ACF@rH z-~R32YMeixPA6j_EFQ20udRaWI&fK69nc%y9~!ysLZ+$*H598GrebJJ&X8&|P+!ND zxiQ?N!lmp|J9oe=Jmvb>OeZZd9I>8M)mq~kB3alI%(48?kY+f?pH@YLZ^$F{aE z+UGvceyC!ZMY@IiRdEHQ?&s=`uKi%a>eDd8(A1=_;zLRT4rKJ30f>jbTUa4GqOdju z@!7hcyC4$;IXTVrmby3`CuV{&TT#toOT*mm8-5ROM}RVuYbFZJ9w8!GTNhIFZd9@e z2DyVm&96}x5h12SYt)y6AysoB>LWpBQC352A;C)J0Q=NFZ5T#r^ z*QG%qJ)mk_k@_d(9mL+2VXZR>tXIN{z;<&E(6hdE4Ts%8w>MJxDt8VaGUXRqRqboX zwXhjOvt!v*DV}_WN?U8MU%x&cj{_g2#pt57W{N|!))Atj0+gIdRr^V`rCR3pVms~w zp@u=x4JVd2v)JT_YNxPf4hMn{RqL9s8^*o1f!1tZ&d-`TN3GWNeAABimOe26A4w8d z7oM5vayhj|r_+8TtJA~7Js`d7G);%Y6v9;G#V6?ho|Cz1txI`G`fUeY zOlBV+U#Ysql|>0qH^VxcY}K^G0hp)%(EDmc`1P;9IGxUqkLT0r@~dC{N@TuVo?4sC z^T6GmMUOV;{aw{W_+}e`<8eZfaEoYbB+^sU%mn}Q+*@NJwzve$+`Gg^W@n&eMxPm_ zm6dJ3Ai`mqdKWt)AVxR!9|jl020wguxiE-e#x3gZM8gNOOSn@J9>IPr%X(dcgKO}u zW5JXlYPQh3DKTfj002Z9zK380GEupSzu}-c8teM!z#=E>qVr`I)h;sk@ZYKtt4p+t zEUn2cL`B1Mki;2EacOFGnaayzOr0CK<6*diBop~FhqHU)V1{yW&16 zDM!Ep0+39jlZ9cE)3#273SKEd?tb5t`&~uKx^Gu%9d~X=peA5r>!UFvy$h5?q|bex zyPXRVWbQ&h@4^&{QK78_n}03z#KTY$KQo0SuI4k90J-hi-M_*+r?mMlXufH?Tm+_opbP%SoN`6x5Y z^K6m4k`uEB|v%!H!shY|8M^0Z~piH{eM^0d7e!{DCN`DIKi5FiImOWQX}b{ zaD1T5mLS)DVlSm)QYB7p#_(djv&)1Gq`sYKt^8AWb8JQ#>&bbe+3zQPVgNppbh%un ziB)Nurq-s*W$wM7PUqH+mrH+qJRc5^|LR};iywZN*T-c`qD2MhQ+iM7+6P}(q}(rv zrryo<=h5y@)7|BAGMHpa_NqG17DmJstL=6B+u8v@YtuZRMS5$~`TTS^aJGV(FPC|q zd)}GnK20rJn`?UNxh`I$zWw%x&pvx-jVx?1Ek;g!xp-vO)Opo7Nr=rrSVJBk+CIH2 zOxeS&LKk=n)i$-Vc@Pn}F}cpR*{~+GPdbkxqRslN0539r0^qf#ct_Pv5+HE~5_Ygb zZ$A|X%x}Y!nyi2-=I#;MEVy#)4J0aV2(UQ7H?1F&x6zW*Y&D1gi%(3^YEpm1f$UfP z_3oIk-?@LItF@l;n8e8&-C4Y*G7+HKRCQ{sO#@f;FxX8!jbPf)H2w9IX&E>l5LJeB zVI~oxmJUqSd9AhkDI)_B^=_&@BHfZGT&WD}0LIBCS(CUmQ*tvzGEIx4!))Yg?qvFe z{x>O+P5oIfEKw0%zp=ofkO3)fudh|QTjtR6yr{+AD2>(v>EULD$lL0u$d89(jrwAR zm9!4oTe}~p{Yxk=UlWRce`;wW82f3OOvxu-9GIeMn&x>S(`nKX>G|?v|r1wnQOAQ zY&fn>(f6M|F#x}?B(h9X^D^;=Kl}l}mtVeAohXhD0Yu=WW%>9o|K+R8Wi|or7hn7u z;q#}!8$3Pz)BEhsN1s0X>@&O2knUSDzsqKQm2nvX{ICD(|2OlzeEAZ<@puIAH-Gcj z0PgNU z=F}n#zLtj4^3Dw&VB5$WK=Y?33Ss!M+W5)>)$@?; zB*~+vVPx%2ctBb1P|*eIsc=~`Y$;snIdp0mxa^>#!MD*gzOguma5& z({@U~3%21C1Mo4V%jIH*gUsmN=bwEe2KQS_%f>~r^)oj3Q^GUO`>MPlRwCrzh~PVk zh$-{fx|VWpby2ayGlMUt@!UI@+vOred_K<{ma^^Y`Ds zdU&{pvy`GrOa!LOWfl>jVS>rjtvjtXsAD5hi)%&9Br0>4X=>q*NO=itPa>RpCe|Ke zHY9tw%uJ~(ghaT(ClHswt_F28Te?}&Q2QbOPnjtD8M1zAOrjyEH*I@gpdGtg)zV#V z?WVneL4QBu2!b2-bSg-mAE>HlaK}V;VaE`0;t)UW1#wM%_%O8~9H-dd`V#+ybbqxn zw*c@&i-I*X=G?+#u0<_ZA?4X&aF0=at!Yay`n9YL+GJ_IAKS<{; zMCk7O-z~gFpgPaJ&-1KZFY{%-%r+T911*%nq6!;NCT>%kre>l|!#aS)z+NCle4Z;r z_euW$oV11MTijnS28f)m4-k1Ms=}|`qHa_=faWZD+l+16Lf8TNXUBD;hBS0%m;cGH zHMQzjQ?L}9H}k}mOK@K*()T=TMFF6-G^@+xID^WNeIQv5V$HE2!RPbYP6HBNQ%Tl5 zUWXbOMkL#5DJ=?YJ4^nj&WcL9TBG&L1IC9vgVE&a=_#X?)#?UH4g%+!v523&>+4O|53#uS6VeXxXBGj>|hl$#O zlqf)RpB3mLDsB%Q6GNufx@sd8)yWjpT5<>wfyw&=a|l3YIg_75`8+?AZTrJdH{i}S z^gkfHEM&-^uM9tFk&-xA9ITM3FeJMz$w$w}XE&IH+80?{+$Ma?rsiAO<%E($7k2B~ zrC~MCpm0``P<5W?1JYz#uF=6#3fI%f!J;2nnbz8*Rh>3ls@6fQZ5~E#$TMWfu}C%` z9}Q;|wO=rf6nw1KW{Cj8uQ!_ z2Rp zL_}bUTghOtnP;GpHHBPqujz=>xF!W8!h5lb5R(cb%r1d60i?7N28IJHW!)_BQO<@%Nelx)cq`i;>wBxgBf6c%!ZG^=irWy^gqPxh5$GJhC6})2i*h#Ub?1Pm&}Tc z>pAXjrYiC;K2>osH9t|A-B}qC-7Zy#v}10jrlzVU`pNy|8Ubd0cz7tK>~=f+i7;Pp z&6=Mf;)5X`#9Cec7XEhe#p4uokUBd2fT#%rYa95=v=ZH%QltHTKaS%t3{Rdsfxi=1 zf7FZ)qi@i`d7u4!*ME1)>cD;E7(S;G0286S54K zqRe7e({wHiEekd1AN58RBQn$Jl$(Z^a%N_O6A`ii5uL?=)`vU{snrIqb^s9=4d8Q9 zFD}KHQ3`;$h9c;)WMUe|!OVzQ&4?H|VUjS?^lRLex$4gy-D1n(GrHB35)&I+5-}sy z!bC{rKAibA+=5&XfNCC)*SMt@;u;i-ClS>uQBpl@8t!KyZLf)@9FL?VTB_p+%*Fm5 zMwD}@2IRAzdj&yq&dqIJiWaq2whS9mSUh+D*R8S6p<{o*>w2c<1Fcy*MOF#^yWOSb zZlbo|;Yy+EIs;fhB7n=%p6jxc)wKUj2vBW~Mcir+D;X(EqB?p;Em2ZS)`V37PX>%L zSzEF06|8Nwv9NGrRwVlu78NVG`U*>eq-s{PQDx?#6g!};O@s!%%IJe zvXwEms68HdQ@T#%ziknlag??2Az zk0S$hqQoyZ&m({sgGw@@sa$r4Vz$)SE%wj$P!ul}3ex zS;g)tCDr1P%S=PD2;1-+BjTJ3l7V_>8ta#-++=M`kR73@dH{>fy1ko2@I>0niUtOzZBGn}! zBB^L$)OjXhGQ|`SoBx+VB1tuy5lZ)nIG>EVI`;1U9qFq6$H99BGXlpgyuSEn1YVKL`IQ!2Xtv$x zzv7Jy&|PDJwjGXbKK3FJB6rXA3*6VdYr)n!@AZd#zSx3N-1mAE{{e4A)fafhILx(> zIRKv$T7$AY=j<=;wgp_~QNJ!Z#L@0v*2gXE9V^+)%-om&@+-HJLwpLgipBo!I7lf? z)8x?n>C>n8_xE@yA3a|uErZ2*w0)3ivktpu;J32fNY*$&|ROOUarYNsgYs_FFPHfFZl z4f9-fyXkbCi71z%s>6_2#Os<7q=NJ2!A-wjL9q~%m6TE`c^LP??8a-VrDshfg@J>a zf-MyE-TvDIlI9?EE`e7C1F63CM#g5frWIg1w_>(FagqdbmxyF7)rVDE&0gbDR7WiST2QV7zPv-V|+(A@pCc<(8`3`T_+}^N%Z<*tF zRiL1K|2qC5(^e9QSg?b${%gl4V>{i&4z{9dmM-bzV}l)Pj}N-|YkZv!%&`{>f25P$ z?SA0!nur{5Q)9E*%Bx$Dd8B#%fEixIpz#siziv-}5kSus-19uo2$qF&e{omQwJzUN z{=3k!-NO807aO+sq8o51im8M;=b0c8!O?V|=@ zj}cmH^zm}55WqTAZSLB|$e1B14NdVc?f={q@T&ymp#^56FV)}}jnvx0`DJzpQSIG*>euxAjl0>iwN~lFjrXpNa<(ylcm}wlRoM&b> ztAPwu)pCv+nZC0U1$g=%Ouzjp{u#S{ z5xx1N{Tdu|(^3~ms+Y2t@+DbF)+GYi3-h&K{m~bPg4%b%&ACWh9(wPI)8TNSvnEj- z9Jg?+-V73Pd>j@Fh5~;Yat1dcT5o<&pZ=7H zd;<@3nQx|a_r3c6ed!NvLjOHqnIw*TjU{^x!i+2zB-gCE}@tq&0q{ZIeX|3pM! zD^VZsjK;5gc$lrKj?Nnf5&`)Gf$G+(6au4Wrg0qnCzR>k?IviU{NmX2WvO<6wp}^y zXOY^%x8J^E{%jc1=~PnUc`lL?l%NgtQx!*zh-hv#=i$~5E-S*Nc=}F;Cbg78#FW^K zL`0HkDXx%ii9xFt_nh^Xo5DU=q&?q_+ahqa?_|J)Rjn=pZzXuE3)LuFVlrdo?aaAo z(D@sYspXacw7_e>ZU%MmtOf&kEVUvjsx_aZHtcMs!lGyGrbFlroeZ#T0bj>7O<=#Oim+Y3^5x5ysd)%U zjV?>>j1;l2HyEKX8u1s8o<*_SULXu`8Hn6naa>f2#w=#I?e9i(NWH290#<+Ov{o{ zP8Da&;8~<8kt%XHpsOb5WIJcIarJkpsqaObpFOgLnwbbAoPf_oh*AHma#-l$Yq>jO zW=>qM^WIAnbD{r-LYh}T2If@(&i^B#X4w#`We3cvsxKFVbGvU^lDI5NaQ;zK)tn1p zJQ1|lXFX-z;j~7$a54xoC(1EXhn+Nv+zijEse~C}tS- zeaVcNH0LA{|!wNRJ#mwJh`}*I(v*SwNgSLguEB;<+ZNefBh~FIa@4#@%rtVX4UMi8MapN$2X#ep}V*6D;z8| z+Ye$AcDvm$45!oSa5y}MUu|uO*iOwb4AV62b~~g1ibLTSzkT}_wKb#vPxR7>PDD`( zibEGg6rWQcpRHwv1HGSvY`+Ei!!w<$0PqRZII^lv({Ma85d-=o!;fmYz1^!4K8D>6 zS+SlI@!@dJEz`&zIlj^lPaR;o_$&BG)C6=&5pMNL-@QBC-tHcg>msr-*Sfdh(Rc3- zyWMzmGo?hO%)X=TcH^>K%8qC7r+d!|ms`5}fMAJ@ z?aZv#vx14J8hWm+8ukXDRPyN{BjS|ga6sM+U6uu^bz#&`pk`7yPo-8lieWKm8-Q6e zIN+S{U~GZ}qQs%XuH%LXePXzO2iI{W`@p#EJFb?s`NZ=GOKh^<#h%ZfC|Cg6UI^ht zm{kDrnVF%jhbo;Ur3&k{3NvlqS&M2Zb)4#;)hwz!iI!5d)O{LOA7PPHGnk4i1go2q zYC&A!>9n8(7&DFISkr@=r8M}=<0ay8Q~Y0f*us^^9(snX$)$5F?zDh7suhoP1L1LR`v zEt1z=?ZeV{*%2x1B7VJdAFl2q{VfswH;?~%-Y-6#mi>O>>Y%UQ&NvQ_IXO^ek+mIW zS(Y+Qqida)rJ%}E^Vu+>TDMD8nfP>?chiV6x*|*_YF2$Yh*2@B24yzwxOleghQx&h zm^;)2Xk)`fH4(q-^vO_mz={w{yQL}qIqH0y0e}g0f0^80y$vaoC+aqu=S5YGsx}%v zJZDu90jaEVT#`}qPHArarns_b)N3*tAR`vGoLh|WDvx1M?W0YH>Npjlf4!hN!cdi8 zHY4cJpBg@h!o+%@&VPfK_{NNEJXHPDWEiBBOe9GLWixfA>*9$Za13AFeD-tNw>GtvdkiKbF(j{EK3=N1i21R zUoY@2d%QBqKL}mqe(_}Ba%Z`>1M5VqP0hj97Q{y`+MVzE&|!TF5bdHC-!E`^AUerh zY`p73d={D=hGCxPc(I0BTHR-hM+3IX+QmPPMtpkwqP@>felLaKT|c0v{C54fw2)$N z(EaamB^>=-cwpvfnr?4z_xt_Rr%%zyG)=ExzlL=pzNu|QvY7m5zu)h6yJ?zYxa}53 zKY8+GE1!UkM^}D#zH%8Lu8@e-If#W$F;pWCa%Y5zCCTE#xcEg}e4QVJt^&X(Mt}52 z&;9t#n9n4JQ4l;=RarWufP8K{(io@t67A{aUgy9Jb4`!uqabF2U`a%`x4Vajld6v6 z2uGKPhr`pS`z9e6b4^j7m(0SFYUXtzE?VPNxoFkd6jd=Kfkf3XGAc!fp}r1M`Ezq+ zp}=aJ0-Ia8-Ux4*`Kvs8qBH@z+-|vl~Pei2uVv} zNm>KbwIL59BQ1KGvos^na$0Px_27~S)nuT`OuOBV6PxlljybCt4TFe~86A(%|0xko z(})nnQg|44M6}=E`od_4&4_53v$f;D3&j=p580KdgSj2N+g{^;MowsJ-8r=>lNKk_ zAvV7(9{6SPf=)cxvS?eYU}A%@eaFr5nyq3xUhh~rwjk?FZt>}|4k@OvUzpjlEC8~u z4!7p)j$^39JtPJo7|DO!X{Q7F-9hKB0|kxu${Vpz-pl=q5Uo3opYX27D2LGWB#i?RN0(p|@`zzWnmpvJ??8Q#LcHypL5? zh6KlZlr2LZA!uZ^6p}Qg)SiT-oX+tbo>qPe2N(!8j_}Pv{CVdW!j|9C=71y)Q$yAS zr8pk}Az!l>`d1^Iy>7S2n~ zhoWkw*nWS5HD8JhgWTTU-rqk^FlYoRvHMuq*Zh@5{z2&?b9+n=8o_#m@7A1KqCz^} z<<0uN5#L9-qC4;oC zT0mRxPwWggg?;qcfrfsbXUG7Z5kOm+UQ_^xFUU={iCdN5MNJCwHmN!PplH{#XV2ih zQ%b?RsH$tnyRq%&1$1+Bb8~a!g|wVsU8HyK-aUEpB=#^y1DhG72wd#`OUzta(KH{= zxDI_V;d%)1CdvcxExP`HSh@-TpBP1!WJYh^Jha8eL_CheFvxyCGRruQDZvQt;q64{ zd?(kf?ZZ>I4Ny>JQOK*nYc&=20M7?yW^dmf?(X)-;|Z#k^+OB^S4t@%K@bs9N^*O< zfAi*^h+e#SH;(e|g1wyz#D`Za<4+fZMVhtBHuHurS>BtvS~KU$6)%dmbb-oFrw+%$$psT#QtUGIPnw zLPJW66%om~m|<;{X&Q!s;oP56dU#l#Jb_uvQW}tSN_Ajnk%^g@liN?)TdXh}{V;SE zDy{^IfV*3b9n|Y!cMy#0WgQ-kNVF3G^pXQlgsqX&#%{!m{a1gS`;Bl=^!l^9-L`vK z|L(R<{M=;d&L@Xj(Et|@{8M%4%)xO#iUDSJI2@uZf%Be>-$f}$$)H#nAoe6qhrdOX z0b)`+Yvqcd{(tuD*)R-m-@Y}o-~RTucXxNrg5o@GrvvRH>bE&OS3+j0rn)-Q;c(Cv z7;VAi;*vnldAHlSTr>;=svY|p+v?*ZGn5v16bUDNxH<=+xc0ow9}}Bh1%OYF{Hr*f zvII&A9{-$DdPM6_z(rT^|Iv~K%@)qYdF(d4#|VJ3tpN^;q3ZrGE`Z~4frA7pvNMZo zn@iD@YS}3y4l?6mzyUox+~3|lsUX?RjORJu-tNteS$4bebect|R=H6)6xlGOWyvM% zk<&D)nk3n$! zo8Vj{*hjUuw!4MhCn#k<{Z8V2|VWK|LwT58e$ zT_XK~*rOZGuGCS7ggRWlWq@0O0l?S&PqxgngIV!>#IoJ>-E+J15oc4#+~6wY7J7Gn zP!tljui%~c@6p3aBj=ak8tUFPz?$yX;$0ob5n;6uQF6}Sp!Xb@*h_JBb-uI}=m?csI%Mc-o1PG81#=H?3vBA0)_a~j~~O(z~9}Z_`qU( zZf%y0)s-mAu&h}!B;>9P6)AJOXkdq9tU?YFnL)aD}QYMAGlnPXP6&gO{o z(=?qwxDRgrI_z^YH*@5j?=dHwng5&d8P*Z*&~8~^b? z{zs~|-%lyYZa4bVk=KQYhG9T#!2SI_`b7=8RfNZKI+bbKF)I|YIhWIE;T9PN)jkoM zQc8?8k2p_6C~zhMk>gyp2`HC{OwBXgy8C+lvDU_d^1h9~)!}o8c=9BqOQyTJJlNEXAv4w%DJ?`5UBjkjEGZ8WT+EnM3k2tw$%Fg z_Lq{mq#>pzsG@aVTpT`F#@_ErCV&072&DzOF%x#H?Y0^L8HG*Dg38lRI^5~@Ha^Ee z+Swc-Oe!KINlcAegB~HkY(xvyvSMf^ALTSdNYBo+zLw4L*h zwjB1+VldCMrw5IFvyeoHnwO5F?br>-)u<9s8adpLApwr*wFMQ#cj>zAcX1QX;z)u` z{pwf0@*(J&DmkEhdVwic>&I3Np~tF>?!f`Er% z5N0v6!{MRvXriWFhJsmyt*PLbr4S*c)y5H(hU@E;qQu6`rMbL}!%&JgH=fFQ-A@&D zVbg#mE@n1VKUZ>4iu<@m*)pFad(EhM^S8g7cAuMne*JRrFHQ+pRGo`@IR%VwRbVq| zjrgtLotZOC`3PMQF(p&i)|;6XRV_+p%aW@bR4p6~L~EF$S{s;@uzsEyM=={c5K990docUuxTVog$gMrNm-$}AGnmF zCOn8}N;=PFUNZ9hhzPT&(&;oK%y(JJFi=VfBa;#)l#jN!L5Zi9y{1Xx(Hy8*`;7=fJopSj;=~>mv%_) zC!Hff21CfNCp^Vn<2br7;OxtL?luH#7811M8Vw40NFO6;<-Msb)1&4M#Vt)LZiz{I zB1?=IES_}rzuzV2^b8yy_hIQO0DNL}Jm%9W14xNTN-~avNJ3^6{F~B%bU?s-u?Euz z?faE3Q)C2~BWFOgsZZ(53qFqUdIZm!=e*yK%TjVKIp?$5wf*;aJO&NQnZt@OTHEdR zMD#a*^Ywl|eeuQfl;rvICq#rQPEg7okEmhHp?y0X9-ch8!}*kkz^QR%-5`fSgvH2& zg*?3`{wFdodA}Q>H8ZnubWOImXAO~)JH8W|U~c(7fjX(C{edc)nmc|Qj*0}EZrWuI zv|~i);Mo8YTd`fLnRt-@(+tlOHdM%AW<$tzLH2&5npwikOpBUXF2zi>sI`*AKF1Vt z^&($T?Xgt{`SV-U-Z3O1ysyLl^%|3Ce0M=8F0CL#_G=nhun2QgqpSt=%1*V zi4h5zRXK))v271Tg_y0d88av0iZet6>VIY_Wr;gIHq>RQ@JLlt8k%K>5X=Xe2gk_z zKTQ+2dWhb0YP$bF9FM&6-tR(jl=za?!xvb0GU9Iv)~9VEeE%-GXLaqz#r#+gJM!fe zJ7d9{KYmv3C?8wq5JSw&*af)7^~Oc(J&c&U^EmRJ_(^VcXDz6`;Sj$p%SH9SgLoGS z{3ma}+rQ#NyD=xCVHn17-0$}{H#cxkav1>MDQ@wgUhk@eLgU=fIm#TF8TLWfaa<(7 zIL>v~JrUXMc949)G{$k9=NV#yhXTh}i+s{Yz-=H9QNWA1Rqu(D@?q&J0DOw%$^Z#Y zyxm${?c7)TgebCxt+Cb25aa|JhQYIveXo|SRRaJo!Wx>U2^QGXX+9oLPoCW1(O`ea z;{opG-bm|Jb>TKM&%ZX$;FZa&m{Ci+PARdf9EYM>mQqU@ zQ*}Wia&%sui}0ta!epT(S4SYSoC^`Fk_By9L-y@nf@sm+r^y3m){^;D0l<+#8zh8( z^qMN(#gC4VKd|S9-g?@fD;EFQ$+07?#ejaLsvXw{9;!r2}dm>+9}vG;Bdl6JN(6tfPN-kMY*F4xjatZtkG5+Y$X!_}nN! z^Vm-h;qBsd;rpI*Mgk%W-v9n#x?hdA9CiP+hW;1dLRw}EB<}RA{P7h~%@^5AXnxYw^=J0tV* zC=^({qyNaloG%}b%YHxRT*h%&TBe%j?y~YarONx1S*B?ux}E0*{0rN|!^7#};rPdY z{3Q{+eEE{jX+~vjQ)0N#h$QBO@KYi~wO|n`B}=PI4@<(3cv-5w8wy=?ZAdLEC6l2< zFA*AXG%Cz$NKu-INKFX|Wa@j8ob~!#aWI@`YQoK6HCU6lRM6}I%#7GyY~D#kgyFiw zHS;|aQ$f+PI#YGGDy1L=k+4ATUvYqD<9?T6Mn$n$HiXm!%}FyCLd6x-RZZO22tMVgf%4TXv|motVBSbHQZli7ZMvn(gA zVE{6YyW??IwdO)r=L*hFM8urh_KH0iwNM1U{x>%_A_CppFpNZ;5>qXgQI~Nmdk3sW zKRA6fJN`#X?}0?VXdRCGVzZ!rj$plnTDG)il^k$$_Xt|6=ewWY-$Q?pV_yx~+u|7x zB29EhiO?3he7Npti{HhsEe7WNvH;2)Y;kK2Z?R=OE_%I3t$)P9anStNI1ap#rs9}1 z>)*NDc*McOFyJ-+{LlY<7zR|u`Q=UYrwEF97$aS9`v&Nbk zhT(KN$3CW%_WOy5MdWaJ0M_&!hY0GHx+7rUeDmh@)2Gk5daDqT9glgp8^>{2mf~`P znJHdGm6)}tBylmKdA-+H6hYRXdY+~EyNDPmlhC<%7u5u!Tnz!}0~wJJ6QwG>oJYfD z0B-tw7O_^L*S{uVNi54elTlu>DuNsgVFr>2nK@MzzNxunRb^q#Dk3et51X;77FA{; z(t!UJj}{gqQZ3v&A&`ZYAW68^G^o?pR*p33E1s!CZiQqgCD8 z^j{-#EPYj2TU*yI4#k7J1TSvIwZWmdyEIsFin|6aw79!#ad#_L+}$0D`^o;!f0xVT z$y{@d@#-=#xEW4LC(*_WDA0!7Z5|a7FQy67uucn`If|=`EP$%PTui@|70UbS85H0F z#!$@0MPRVzRSB8Ru!L0i{?Ll)EeBoL8-8cTm{}XJa>J1R-bS;0S(zzd5i(V8bbQsW zeroZu;NW_CcqW72nLl#wg!c`RLh`Rjyrf%ZW!z3QlG#h@Mg3UT`Mt7ja6tpg=D8Fb zrnm5spVxX5N_-3Asi^PMEbl$cAOAZ`|DrO7_4byou5k3tmIx2>o>Lc*N$#^`nXeTYimcYd0N({x&-e1k=G|)zW%({!i(7Y zutQ5O5BFhE`HoOJF`Y($$k6qthY@M|v15m+n|1K;fHLb?uIF4u5RmBM%_lM99 z+OM_Q-IxlmN}2!NbyrEJ@5s%F{jQmC9D7%G9P z*)I|AesTZ&{OrxWa#1d5K_(*$hcWZ-`e0@>nLWazDV@=ZJx3(8xWQ&b*S#&I_ZVZl z?=}b`%%pPl#!+p7)2$Mp-~vc>ZcJdY6hA4thgw=aJ5+Sbio{Y$j(xUJ4;@v3Ie6q@ zxz?@?E$+Bee~47Xa8E_>?wRe`&HT!Y20$f~3S%sKv&K;<_5vz;>H1CMB~}gY$$1{U z^nc0yW3^?%I%Ft~nNYPg~FiyOw5u@b`^onm4?E+0Id4Vmsez zCHx!ChCwaBFX8XIJ7ja~n9VH%vaYcYPQp?M^6r)_=fS(5HRL7s^Ae_^giX9Uir4GC z{{_*(Vj;>r`D@!M7dkwbeX+`Cs$(tT4RLh*OM<+BshET3=f|D@27_)_LBlVonb)3Q zL6(h^Vw4dcX@dy}MqfwaEF;Oesj&wA{1ud%T3IHBhYhJ9hj({J0|ykC7k&Xvt!nw% zFS`tclhBs$ha~I{ocvUxB-l#`(F5sJBLu4F)o??A_x0e9$v<&wX(>{fU?k(@P;ki+ zKJhNHmX{NK_eneG6W&=*6Dym!=O+olLaMyXE=1r}^yMwM)d&sh+7D1?4Y0DRNq~~U zb}|4P;@1{1)xdRufb*<@u$@xA*nCEUVo<9XsI1W;=QyT=!_96(k=jOs65lMJAWR<_ z)_j6VZh{dLi@HenuvV-zO_fQt@SEQK=5?n|@l>|M9NP>yX_CKlj<+0_B&7S(fMuf3 zns?b#_QK{?&|uZduhwh7Xx%6*FZ54#3kQ5va(d%cA#aYe9cTBr+{!btkQDXGcj=q9jn^WK4k`An4EBR( z|0h@XtC#!Yu59N)w+|iJooL&h%IW$j>*O*ftsN&KtTH`RY?}`tF-Yw5irb6$=P5S* z@|9QPhZ}Wl_=?h(QePoDjp-O<@Ky#GO)!htkN!1{KLJ^@X9wqvpV<&!5PfP~1vw2FF~rNssalxa0mD@|(u0YK5e6Yx;eF#6s2Ou@ zUy6UP(1GRUu${xOLo>doA$bgAJ2A}zXIDxb%kKsx@Rh_}#zQk@SAO$xm)64GPDAC_ zpUMu|T>1uTgf-G(^{>&bxq=dl#`+HD8gm2rSj)g^3OEvS)oH^UAXe@=rem|RRO%}L z3yc98`sb`#HLgZY-b&0b{XiCbn!!=khEKE-vbE{_9PV$ALgrMqkN&SLMhu~PH!Fxo z28e@(#%IgXqjU4e{_o$*TVsdX zueyqJv@Wu|r^;o5XfP@@CD)#%BjM182e87YR3#6QKK&g1z=ot#wtYJhGvWe@DhJ#35XigzEQgzg3W(lMfocwV+WMSulq zAEAXOp{E~Zzb@8CC}aL3aX*`&l=%oQ*)xEICqW=43=NkW9`VmVih4VyWu%-G9M|Q0 z=)3aXJL2RwIOwu9-~^b?&sQ)n}j*MA>zi=P%nw{5mGZ( z+vz?gNe{IDC;pPG)zA>59(d3D8{BL~+Mc@& zW|E33Qvh{8Lrz!`|9Cg=(e#LDhg0MwNPjv_mM$2p*e7lqN!w6nH9}GknQAHD{dAuO zJ0i2FzM2xxbIqFxPikPQd``Ki?~Lq4wx>|zBy)3-Z0CQbwc`eF@4ls}OUtT&;nvAUhll<^tF)rPYZ!036j@M(jz#4q=>)eo%V zp~JDk%U;)AbQ)YJS4iyZY_K~2598mbY5jTaS;_x{y-hRHT^IqK(oEpZwI}}>G;R~1 z8?Agv>=cV&={t-S$K1+hSYVyjJ|Ban0VS3|4-MDL7kMEwt;=cec)9-dNUjDq=K23A zzT%Meq0PW+nPsK)V6M-53iR7+=Zzmf7?MVMFTxXd{d(U^^dnmisu>>Yx$k;9X6AlA zF0Y0h{%3o)%0yeDLFjG+e1I8ca`rlR`z6#0k!6a~-Mif^E-WGT9E87sz9!OGfegT) zvqOFaz6ueocG0Uh#w*)1RaM?DeOo^Ev@7hT@h5h>Nf z;zs2#elaQ!vv1*{W6`0k>hQpZNxS|8$cXIR!#8F^F5XZ@vlM<=eF)5as_y)veIfx8+`V-{ZORGlkf?tjxQjs!v8B#PJlJ^;T|fQAWQp%N%Of-g^8PL z*uDvBcVX?4kz?waLxa+vev<}L<7()fs@O4MrZSdMLoM7r`Y@P=+E0r|+sDqdB!SOQiTPeki7p0v)--f?E zWJvJ)gD0g4!X-PN$jvnD)lTC6^o++_0BQ19r!({~gPXA0?+UWl7hD1QAI!AX%LmW2 zP%fn9kD%m0Vg1Tk$|Lk1n0J2eAK9a-lbT0pr?7=_&{Z$Uet$Utxe8OXlpbtd?!X6e zbFMEKbKLb0;Ap2kBuM>|ysr+C4JJ~4F;!iH&Wbm~U-vhAH?LwuzLQ;&p%+k~Q@K8h(c)GMP>&{=7HYZ9){RgsL$V>LEr0TbnF*xQu zOFJz!^NVK}p(X{=AO)e_X+Yh1lIm~H8AiCFtfC_@fLQGxNDSTTLSdcvjkUk=Hf}sR zB4&I5F8><7&{tvHE8uea$$lNBm4kihR&|yIzqhCa-DLJ7B`E-3llc$JxImfPXxaJ( zzX!XDh>690E||^)%!^CVG|1oS@M<{n`Aj**Y8Ek|(k(m9xg1`n^Y+gYjn(&sJ7YZu z^LEvlMzm;%TN~3s299Y2PAX}?CU2o>mL-cuGd$ax z)DGtX-zlAm{CQ_4eL=8lD`7m$WeVy0M+b4ROdg`rM95=4HHIweY9t2n6Rn`+#9 zC~l|_&7Apy4Ew5E%NLh5UMHs0oH(#&H%%>q7+d*8iUS2-O|-D>9Fn`N8_N-Kv%KA%!)H{m4`u3@WX_ zsW{=D``~8gvHzr)v;6!)1G%A&5wcgH;`3%L6tLWl!5Joyx zL{Wlx4f(-rlrQ4QaSFw}W{w+{RfqvD^G=G2EG%~1rrJB%B5!@a-DhArBFkJ z>>6hCd{?f^C$V&Iu)-rJKo(iabe840t&8@hj~N_)FiS{OrNNVVh^9TY>Y!*zSfX#d zzY@^@2nU+2q!8L!*u<(wFN2EiA>9Ujcy^% z2eMrm{Y?~Q`gi1w_4MQKs{ilrK=M{R`?jxM0DyD|`Ni?u&B@Wv{Mh$MXFb6F)0t}G z&ZXDr^wxSQYfFrn;9Jz4KHj*%eF?9Apt+UoY*n0e`m#;TcXs?rWFi;qH;&A`5Zl#> zM?`9HzzcKOGR196{4?bp*UKShHQT?#3qff{+;B*M20 zZwL#qLP=quj9DEbwRQ<-ehSNGLrHa<>YE@I{y_uw{3ZEUg*8WL>7T94vppFirqPKwQ1g6 zRcbYJt}yXWP+LT!!lL+b%->S?5#D&MUuk0w*SAplW6J z6*)eGOFdg$y6Xp!w!#i=`{UXP66!Y-d+T+XvFPdw-QD3UL2h%~%{U3h-+*Lf77r}v za$|z$F!RL>5u#u=-`w?}vR-mo5EWK4502COZnk_sABOQ03TLGA@C=GKbywBo z)+JzurY>+R$>mslcYfPTf-SRgw5ZIYq@cKaCgrz%phqSSu(c;351W@O;y>Jx@evvQQcijgN_4#XQNybnB8@fd9Z8PE7)iojzrE%3DHAsrOBI13QkvilA1ZKcC$jXyV z5^ikEi(wjqs@77k(>4~<#8(sM33yiVEZ~jGFY~3_uj}sh1yR;TMD7~f=-HkRWpO*M z&4*gQ*i)`yK;BX5iC=fxFg?Wbs{sJ&+ZZf7T1&>|%F>P=1en+khjXX?@q7AEgqhB+ zZ;6Oj2pgH{glh87uj}!g?fS+YUVCO@HKKybqvYyef$~;QKlr_j9)b?8Kc<9r}+GeNQ;5;F#Xxo3yp;?w%j) zzO5^XD&pVUfKa8$%@(hLl%*vTl{JsCl#26s0rt_KF;*ijc$L*4VRVDYWgIni>{Qi> zJs$SI1$jiXXQOGi2kH)M53lzGF}#xaq=*h7J6JNdt4&3s%$yuAI3ESbhruuBx@q zGam?)YlSja?Us4XKCqo_)?)3+Q}PZVnv;q&v2%!>>wLXuKu%y8pD|493g@nkZScyl zJ&oWywA)@(73Jk2M#PG%z@2lKjJmIEoBE2c4D*M&D7BY?82`Ao@6B!eP+L_L=Kjca zyXY}#AK}oUhkA@py5Fl+z<_v0Q${O*ttAyRZ~%Kh^>Kf{h%}I2WwAXDefD5tV<5Ln z-<*U-lyYWgcjnk(OO{+D8V*L#MKDvvx!Ia|ta6VtukWPP?)$sG+tby5*xasl+hOhC zm`|x8d6=l0^PPl}I-Kv=*%@m?ZCJ?|~<-*k+{SlnNytb&`nF4|$Y0zD(2=B@8<8O>zSarpi7-N1xQCzCL&kRn}A7e>)mhwo}gB&$daU{ zm+%YUwl^{)R;$gS=J|$9Yfyw-ERfaPlf`Cru#4TEDXfO6-+O1r@l_bwW(3-;*YCHv{!%D+ou&)p~5uyPhVM02wjaBGj;9V}e*|AUT24n2eg zE0UF>L%OV)5I?|+gP;cF?dgBtWSztdzP>r(i#7>YVoTN2z4WLHV=nT(T7B$n6O)8% zaq70TXw&ldfof6xl}o4#xH*kKBZ|7ULaL@)&aASPAg%vG?6hYS;W*7+l%paaJ$C_$w+0upYj zleB6SmwqY_#(!mq=b`0-b5kr?lnQuTe(D`N-Auv8j{c>%s`gY*Ssv7$AStbNdqs4O zs^h{Y9p;6&_#vrK)+`hrD-RYgFwB*IqAzZ&zdi+krVsy$(mo*opWDc1`%Y~Jv5+m zlZ+97p0+FRpV#{OU;|x?XL>WjwkkFqXIdIjb5=Jy?@N5?T?>_?*gi5f_NPzlT@|Br zIw{>4{5WfddoZiBExlF!5F+_f0`K0OtmAm|LzI@#m|Jr2q4|7NN{F1{qUwl5V)Pun zZ;YwXGYeW^wt5l){lmV@K=b6^1Tm8hqpzwbyPgO#K4XrPBW$d$3Pa)243T)oFqA6M zmG$2Exwf@XRM2><^7fXa$K9zeS>!z~Ovf|86F6m^1`WA|^6Vx>-7}n^<>}m~Wr#X9 zE<-g`rKKLZ3~|4TT=Zzim-Bg%e~wrlv! zBiSz_+1LOBFTcl8V`#;c1Ouv)zfHp*r>Ht-vgglsl{3dVT@2~)E5+93>3q>;b_V9=BwR27Pg*trV#YSG00WPQz~UAhp*} zq6KW#ajaPcnEj$pd~PjLyygZm!wKV&x?p)sopA#0rtT6F{022=c@9Ty_e=wx0~d*a z3VL9XbVEW4hpht4Z&X;G;2qr3BLTx>-I9OpA{aa>QMxF)?~i0K*lX06$FTz=N-u!s zX9@8GvLf$7A)jwUk%Yr#pu^g35?D_0QQM1y)#3vLG1@v2|35z(^27^)Xy|1=I zQ+=<;`C?lF!`_qM_xzn&hLw6A>P1LW(&PU=|9EAVGy+v@ML?@6SplZmLGEu0#{Np6 zVYnOiw}Gx4@QL63Ir%BhSo9hCvmu}TTQx*+1_3FmzX+R^tkd26zna5WzaRZ(=WDxL zU9!x(JB?5-dvf%*N%p{vr%w3ObfboSJ8TU-AF$f%n76 zTQRz0aW&z6lkmcQmD-JqY++AH30W9i_YTZW06^jwDorVa`^g>Yd11F$I29lZ_ zs-CB&R>9fi7qx5|pn36f6h5G5Z!Ma?> zUmLCjZ12Y>hMSnerkKq{Eiw4GfiyUpBT+ca3k9Md<#KAo#_P%w^FS7Q)DOQC5)h`x z+jnhDy6F63FrE13m=0t&W%ZYyMS2RzjQQA*V?eyzJrg<(L4%zyVPmPys9>zK-fIBP% zf9Zqg2S{^4Y2{^!(~tyca_!_Hv3C4HUH$_br(ycUWPV(;e+yrw@c1aVxOnVO97RL)GF=1Lbv}*nApJ8W3MPjzpVXb z&XUc)%d3!164<;6ji+Gr#>_sNIlB3`r+}JDkn~l64D;_R^d$tH>iT0?%RU3mw~J(Q zyN|vULt{qag}Hik6g;_<%!+`#%G{b1URvMM_lk_e+1iqF{5<$q*F{r{dd5IR-Goci zadUtq=6BrkCOhiSF8^{8aGXXB9at@5Pzt*$KK_j%u4&(g0|wc~C8{+e!MluCPyVdi zGXr{<&3t3Z+^0J*1BdsGjH&o9%tqQU39`4GC!E$!6@hI8W7Jg((oAgy#WaIQaetkV z1iL#g{-Zw9pk$yg)BRCHsgFM0$1~sb>H43g4*PWPGNWS{|B(}U9uYU&65CJAhKH^- z<@USoLE?q_$B{^!?uI=4Ipk+27yY{hrYOitx%;07Zjo z_B2Y}B*w>QmGwGc~@jO)oA0UGrviH`Ia8zvlj3<4<``r)ZQ+Lod-?jGIiXS7MoP?|@X zBgYQyjE{dwyno&$_U@e@T~&K{&Sr`Mxq5rk{A};U2VnGB6@ij|aw^C-2xA0%L*=!K zwjz_31FB7lsdKZ{%W%~dz5m$(~v^OzyuRY2=tg?hceX zhvVtq;E$nW-?CifdkwC|Qsz&ewA@YUc4#9a4(Q4WfNX^-YhBbNhk4g=()@>fzqmdy z$n&7n(3b-r(xzwA>^t{_%qAE93{7{p-WS9=(GiefH&e zbv5sB8o8?S4?7=I5MO)mZ=5_$tlxV>;ag@gw=+WS_c`NN%huiNr(k!~fzRI>P%1-?3!;pNjpxu6&S(m`b85disoCwh8|-VoyOmzNwGn z>3pNVyJL?&8PuFY?M{g@A z?`m*gKs{;8*+QVeNxhqKZ}@Mkc%OEb`U6_kb>*E z|9#_q;NF@4q`b^(Dz1ZFVVER@&gZIN1gc_i#ANT@);{ zYU4|^iZ4|??z7eGAiz7h`Vk}0^nSb2=$&FH81tqwoLW}h8;?x9x1N2UMq zbmy;FUj^3D*dE?*vftD%-0(iUFvANH9=Wg$1n$w(cH`b=zt;IngP;*bV=v=;8&pk2 zke8wN2TDWz$x5QsdfDwSPtI@MtVO+PD<6Tdn|5N8by0Fo@2}8o*e*xzq(Ix2%$}wFBxbl#J8ROB%fA2AU%RE| zp-{XG!bjr%zQCIG_KOe{O_(3g4%KvNcReL?7tI{)b_&+78@E-)lehXx;+*O(&sQODqY( zUk@f*X*bKInJxkeTi>-PiIp!jIBE}Y2`z;k%axp|1ck_&#@gOZp~T4 z8fH3ir?woi<6r$Q)*K&)(n@K(V>AvGp@GanR;#-_BeZRAtW{FXE-%RU%(BE zMwG}SfA<=qHL;Jv7Zn@^0Jmmcq_b`AMx7<#^ScA6_f+@2oV758S~`#Z!V(AtC|RXa zl^U>10p!Xq6QQY4+iz1>>M)A<#+Zh!CzpEgypSADyn%eJ8LKfinynVM8mk5GHPanE zn4l;lO7_;6fo2yi&t$xs7va;)pI$R&?7x@;xnhc_;IKj`f>e^n_NMQ$Z{^j6hb7n- zuN||7igu$10p811a%>%r!6-V;jJopwJ!%lx?yO}3wLnEu%49v$oU@#cd*=4(aOxp7 z(FniQz%|)eG#dV*h9B|<-vGGAdXEQ1!0q}t#GY(Yp;HRpE2as7w)@B*Q4RoO*y)Pr zj{cKM&$a%cM;fT8V-r9EkMvTInww`g@wnFJp0z?jaSgqhKH3z-H+OVMH4qbRuzf)W zG@N#nYdEug3~-)kTf=k|dqR8sy57;ZwYlR4bs+ltUwrg2LMF`Bt==JJKzO!?y13?)LY=Y4k*}j0I6r>dg;Ov#BV z2S=oa3^xn(&v+*DQoVsc1pLlU?XQ?yv|B0XNS8BGoP*RK!d-hXX}$=MCp(civnh@N zn`?KSS?V{66OcYu(3OLM=D;GCPBFXN_RW?VaFN{sRIzVin1Xw}K+=mlHpU`XHrz~t zQI^@Km-HhcjN^wUQnztg+D}sCJiYUOd68&6O^XjFQe=Y{g&qT3&J)?>I<8@+x@TD2O6t71-d-` ze&Yc|IS@yaJY(2ij0^Th!PE2hVz`+)s!N3c4z1i$d#hLC~H%%<#VV z2eCI?V45Xq7*Fi*GXFR;p&mST}Pio?4;lWt^7ydLpKD ze_bpIC!MKg|A&A_EfA2m5xoE0FyW{W^^pUW@ z?%&P8nx8jQ%W_2y-^!PA?7kD>+77__Bp=6l71*~eztz(%eE&}PEYT0`NZNY9?_ZlT zd?|&6TMgpHnha@c6T%7t8K5>(az&c_y)5+krhh7?_^-6M24>r<`zv`$(e2HE^h-{< zF&c?e&F|(#!J*eh-Oai=)cdMp)aM@b0` zB9p{O?lYYX#x;{&fo>gA2x1-30Ta3+zHPI?Jd{g3{R4jT_`@F?-Un-ROL4D!QUk`Y z=5Fn{fL=6X(c=J#4ybvd>uIi9<$Cn>meXLK3~i?@N*I^H5a-h0x75**ZM*2=eLITX zm0T0258`_^6<+k8R0P*wv9W;pb#u4v3-Ve9Z`&Ol8!jls>SHpj3jGIxEMEo3K~y#* zOIsovfat*3weYigj$@)$CoP?IglLScnwiFFXk_bcoJpjVk{LTWyo|qQ;1iNCcBQF; zlAIow3K&caDbSmamEu20ipUde&cNTAM~Z>eGxA!rQHbmQCQh{(@st**drU}`3sEi} zu*p-+vdpyRY~Y;Yk!1>voEU=Vc9KUy&xvd_l^}2pP7Rfk3+JJNX~m=ABA`~M#F(2d zgVo4AL=Uc5)`B)vq5&RmV}T*<`LP*!44TZ?gH|!A04;z_PB6>r_Tu)mbN5uBpTjP2 zIJUgLjpgk~Nf+`Z787c@fNtFX<>#9mLNC>CX> zNfmpdeG<)JVa{e#47pyFPcoxf^BqV7KqaV`emhHO1p1)6ivhy#Kp z*JLJz2;4*J&T1n>VA2)|Ge*>-HX|K|s869+xLaD$&ea1HxIbO0%cx@rhnWcDp$KKh zyu#t&Do8MZbFe`p58FChX&RP0yNBX|o_|pLUqCllIqfTFo0IUyGB1bQm^FUq_&Gp*wg1r=9-XIJ{ zMp%=DGbq~!)}%sL8Yp)8@7JrJWf8kkJA!3foAG`VKX9RKjq#NV7QK@Yo3Gg3@%8TjwhF9(#daU)YOXt-z+WKs5$|0=;n`aPW5 zy4K(zc0?m35hb_#Y#=7>RD#Uh?PO3ZvZx?B@{bZ7NgVDFH#h<3@7qF<)M8T=+{Uk@dA{{w#}dmP=}lhq{AVc@<&eZ5YCnQ@ixl&|^z{U;t) z_NCw2_w3V5I4`-uNY$#tpJH#RQ>o^DxQ_{8ofwl5thTXAp7w=K3~`S|Tjj;d_}(p9 zUaWU~KKHjETx8?GOp87H=0@1ox$$Gi^?|wk<406;;cPMgFO=cul>di8NUJu~;IFUK zOh{=dv2zl-AZi!mL?5IE&3B>+}X|xbqRw&&^blcO6%8#c9HIm zO54OI>7x(I_^me9Q-&JlVe#5|ye`y%;Svx$_OgL6PP+I!M0qE-cS^DnV!*V+}F$w9+Uk9xbtt62;xelKXDIuc0ru;8bl=7K8*ZxENp{q-c|=;!((s3iF~s{jVQ(tpg+p4Qz-ce&lj<`T<;S$jp)WcNiw)f}h6aqaZ zscn)#CE8Gf1(ZDwt-yM7wH|499K1atLP(Y?NTi5b=N)^wJ6nN{eHQ^2T5B|`B;u8) z$;I!zvoP~Awgn2VcpeGf-Gg+nfylnG+r~|o?b`7>cEp&V9xKlr42Nj-)1ge_{~t;a z_#t~cDNEEBiYL^66qUZr?{0m>dfyU*ewkUV#Yz7+mo8DR>O&WTqkO$k{~t{A#E^EX z!P7xJ1pixYf2r}_U{+X!F3XL{?b>wrSH%~XEK5gbUay(h8U5 z;r&JIUF^CYdX>sIoVw8fU@K#GFzGN$rFt6YJdCt~y(~NY94-^wZiqxc4vN`0cX@QV zfX8V2V(T#ltr=^Q)X>mHos<}2-U!>83IWm0qI?J4tBA)6DrJSL<2yA1vp+4^0Nev8 zBTW?km|)7pPmx4-kf4*Ij8kWdB9@eG<~jD>ZA!V*1Qx^oPdiz1)i>-NFJt?> z=6igjW8_!>e7q{186M2`k&v!AH{zROLUFxH2`=heh&UK@0&t2BPj&UlyC+5)?W`0J z4Up-U=);q3yNo*Gw;hZR$_qApOxR(hIXcI z5C5A8eMF&ATIqZa(0du`7;&(-SCM?{dTn~Y6MLV0uWP`D1BbmUX8;bTpuAVpsoeRO zofa-ww=2!O`Re!MlRyYGX=Pph4MlSenrkFK;7N-Xi#8SnRcG-QQJvS+;LDDRN!U%s zkTJ2r>!suR{(kt$QS&vI%4h|-y>Ch?MwI72u|h;^;(}+5;n7Ut@cfa}{ATiioO@%C zaeN2zQ1Q$M{DlZBT>{zk=T|(+1JqA*aCcIbFVu18!t7;*PHaFyndU~!zr^ifS#W=P z#fDO8jzvsagNJ(Q5TF&Mu|Y^f*0XAy?F5KF#T2k^vBHZ%ynNTFkyq1zOR)y4quSQ8fqd3xM;reU_h#i1;bhC#yGbducRhLjYDrJC=)igtILr#aeQSXX*3U2A1* zy`>%w;qC$%urA78flwFv2{`U|w_VO$H1wr65 zT}bNV*`k#R5C#}--^rcT&-!5tc7{hz;Ty^KyTjuFRk&~`C^V3_;iL}2@ zn;M&Ko+fAA08F7SRifNBP!W2s@{Bz&&vT-%go(9dI1s~vL&pT(~ARwin9IvR3(tUi@Dkx(K+Lf~# zGPFy2ft+B5X0ouQpoG0FM2S}hZ?5ehyh~5@PCl^ONB_GvG4AY%8iod`zyZyLGV9n8 zWl;3|nY5o&XnT+cM=Uvlc7~tU*{Pv20>r6+&4t6(Aoj{WOS{Ui#hZs4z7lT)YHKf% z`4$czdnG>f43WLWn~hFnbTkD_lzH)!nekUQazWdN*qHdI~5EJHQa?E+Y+?OV%U^Zm7lxf=cC!GM3AkgFl!R|L_fuxLD4{-;a3D` zm`Urkuk-FHjH?q8yIGn&4U}KLyk6@KI05ua9r*UeEuZC;2_z>JB-AaVM`ozWGqtje zo}Jk-*|^DD<7}RW)FC8&0XeD;RAVd>bGsgVilv~nkq*<* zcfTrSl4_YB>*XgQuH|@k(O$Oa)=M%2%jw{dV@7dc&6r3RA(aN}YAB58$y0Ng$^)6? zaCDQVj|sRJ@_Lg-xuPRd!V)0iPzU$;@av?;nm=|@fQNCmTsupHNd7!Ln}?8q0~Rk? zulwr9^wQ z(|d1aNhwo17Z@Y$qI)N`-4En-k+|}J|FC6SBfp?3h)+T?2@~~`U|0@ zdD#Ev;dW+4FPR${6Mr90puD(c7kpZHERM-)wgez@hazT^p_4CmcA3|gKco*DP7+6r z!pvHHYJ&F=W7RSA5pk{iY)f!ZO&~Ds4HkQYc1R8j?DV)X`3Xa(IX@HUaxHh!FFqF7 z6i?Dh#rTA5hg(~@`Z`y}t9uPMR+S2O-<2shwx7erS3HLdn#pG*zkEOy?IbTk_74ez zUyp&hxiP|fnXlx@s7ehyyl!PBmX$15|BmNp52N*uwXKC5R%O)LXtDk`0v6Y?C`=rf z@ayf!CN$eHNf3kW{Mj%;YEgVJZ8En8q(ij{=&a3UKbg2c0I)_Bx6XedF-eWv>?;7d zfYz}R9)@6gXJKl(hY4!5t9j>G`qv`Hz>%V!U?Hs=Vdt=b#8^!A*5E26& zfgCiqAz2aRIT8oqaFydfkkooL9#K@osYL0z`vWPQXT#o7Q~YUFdpuF_k*NXi^L&k8 z%n4nA@W1M8-{4Zx6^>@7qVpkp;nTZHR;rV`iF0lJ@QufRcfLGta<+zqeEwOC@G7|P zWP(&{;RnV;6;MY_$wv#r4FBi5N_a#p{{r60Qx*Exz8uQzNg3nV^QjjUf{UWQAf;|? zFhbCkZY*9?>})5J52B5N(P`&z^7_I{)=TNk9*L1N26Ga!zXY7mXPIJZt4p;L@wHj= zgTEg5F~vW*@xJ}>0q+xjeyboR(73Ie6m4s3Te-M5S)1Y6Li2k3x5pm~(Et^Z#4+zz z(s9t`O^Us*hMPU-E-mBHj9;(MpI^Lf$F7Ok#&u=hQz!LofsrAd;!db9Ilt((6Rwb+ zh8Wz8RrqKiBd6;@@SdYnYg2n{4rRYgnsD!F{#yhCtw%RI7drSC8%-qmYQAc&@oGP5 z9M%?2TeCM3!eFHmH^v=IW_znYjF?xdPz@?7lpb#-)xrKy(R3dE8nc@55s31rsfhwJ zj`Nju922*afYy<gJ1>~Bhq?A53#zAx{y)~)9stQ2H zO{oK{o|MwW1IaqpKKewSLs2IqND9b<=w}*$5S-NCw4*UA&n8_|wpYY5;Nwm$ zLz%;;eyI-8@O~JlRSkUnQ1+@0ewlTbY%1GE@~%Zp z@X%3>G6h>?hUqKKm0)sZeTu7o@^Fy?GwJTj0G%^xHnCmG6xO4c_EVecYO2p*TSsNO z6B+?L&}^U2VSVhH3}3Y{0s4umIK7(9a!7zZa4FCoUQ+>$K{J4_tct#0v2gY~3cec? zZ}uQR<_=@q8ZEFdZW}C)0hdRy#Ieb2!ZO$hj{zP~ynik|lL&)ra*R@rh)AjI-UydF zWMPGQnUAUIF=@vu3^9NPkz?!r46!jalcvq~=Om|ywQ1bA7^^5L>PID{%HyF0a5WfA z^G6R6Ry)|=(-G3d(-sMS+39<&#UmZ!Os=pg_JJ~1bzf7}f!t;w(Hd*cW`y+<3IAph_i11xI|GX=@!S8yvNZs-c993uZLYg?W~1+liFR18SO^pep%_0|dGRN>foNXzQ&gHx8RHSH zjDvkIxTHv>#fU{-5zG$b*$@vgRQe-1ErlQ2{MR10u zVLvmO+Q@_66B2}WSo3S4L)f&{U%29Qme_C42xrRqJmBU(~S##bhd zrl{Qg?B%lz5Q`IVZ_nDwkpJ3JvPi*`CKg}H3piXObH#sk3X2iV zn~E<)FswXI8hSShH_kw5#g2|9pMB+}*o z^Pf*kbTC^LCxw}PF7akBpn`i-KRAvz+_FDD=u>??Y56JXLC}X~9UzZ1w&?7!Se-HD z8{VQX-wlhuK!1hbsef{E5`cHRauT?6Wx~9r7aQZs7SRV2u}MPue3XjO{HZ`=63e*U zS{F0%9m%$e0Gl;0oi+6U6<-0%a^2b*K0%@>(s4s^VtEmN2+=#9IGj9Gg4c|bpKz!^ ze`FEw5}2l8rsSoe2&Sl}uhH!3MGi`#5s8IBJsx-f4(nyGQIyv0L30y4R4N+xH;hb7 zBN!g}w&W6cAx5WUXSzX4yXEEk?9a?$O;-fAEZRmX3??^&fn6`8Leyj4y=64R&H)&F-+ z1K}Q0*XvmtaNhdmc~#w|%Vc)qLiQ(_(dSdUUf7fHNl�B?3ERK7`rww?W$|2LfA9ze9x{l2S{jS4Tu zI!p3o=?xUyK6Ul`#OZl%N;Rwl&~34IHyD_XtiCFal_dh)Q7dreE%BHP`PbaY!4)s} zl`r?3#x%etB=z64O25ci)@bLE1NL$e-y7g5Ag&t^Tyrk_i`6o}{#`=2kL(87#xrgO zRllITCH$+ zqBp91zPCgg!CbY`Z)8#}d-K;W#b`tYvi4M}Iv46NZC(|84?MlrsF)$ljm2{JRi(=|&3&<`K! zB^St}9yzZG8WHH(xV!xSq|<^7Y#8KAP`??Rk&yv>Z;{Wri-`XB2BmP#`s;rw1=0^w z{9Rbkv^G(CdO*~VyBwJ;CmIO+haocg(+3~Wjb%%88x8O2vO#CAw>RrvzEcEH*=oP0 z=RBf?38Xata#?X0#8=X^5e0;txuCxGYYSYKv2r?%<^T&$o>d*2E_GjzsUgfu{P64b z+Axxo_&1S!f9r{yl0qCEk<)xdaA*2)Q=#kmaDmT$h7-OSYceVv3;a!Ut`7;Od5zah%XK%>b>CYHp6yHhK+E#3Pq&VM;=(@Ii*c50-Wh^Pkg z0QO9h)*piiTgvb$JD#txH0(=moT_I%Q~ZKXLO|Ip)>~^nnJ3fr2O#m!yko8#e_4~H zrNpRJy)P_NtO%8DY_7v65MX($Gp@d!=22*|CRb|02-28&?T=6^y2D*VmR3ggT?FnC zJMh{c<@f{-%%4Ln@Wz_Y_x{r0UpMEVM^H6`&GfaKN0tJ4*qOIDc8@TZvQBDMLgMdu zjk5QLN>W~Yxt?LARhLBQ)wI`z)6AbxkzX{MYoh(TOIbnn@VV8UI#PHl3Y>+GG5&c0a8#(&tJ!zb8`{*Qc>%JD7hfSNHS1NJ(wQN{&!7KpI7AdEstfH-q%CEdJJHTfUQuxwf{vH7WSH|knoMasTtw8+cQoRKy0kCCzA?KMcH0%vS}{v`d#6qd>`!C0-R_u8{C>7Ux^^dr8p60i1h(YH z2ACIHtY+W0mR+Q%$RMph9*cSVI`7)uHq73f#$Mp}y3m*_X&|pw9`W1M1C1`7PPfyqV7Yt^hWlLi@-gpy}m66O&YwdC%gz zy72WoLckaREEqq-rzziyy+V0;-eQtG1DCqqLY`mK`O=BR1v?{IMRegK!OPpu^G?+z zVxucVoGs2RR`p+vD-uNbaM|_*adO5TwTv$k*aByPsbBSnoYmm>;-9MUXgK~I1`)s* ztJr0|zr*#5)S*2fSMnJyd2OMG{cd77Wy{gNm>(33iV#gF!GlSdfYsYBGW_tN?d&^r zRte+w(LDs;!zDN&FsEY^kfw zK#P>BD#E~H#c0mhsiLT*%>t(VggX012Cl+F)+A>|I`Z=k+1vLSp70IV>U3Hn@vO zAqC~-K-jdS0?Yd^Te*?agPl*mZl`sHDhyxEVh!1cO^L4jH@=sPhyM1M32tu(_o3ZU z|JVb`*ikOy01EE><fM{|fv6Xs zhiLIscEYJ{sEl@is%qnUaft*9@HV4ft-72j8Qrfc=l@)%ia*J`G>_iyITSCkJt3SR z39fR~G#>Sr49p?A45&j^oE;1mFWjZ)A(Z^Dp8Zx4KYEH&(;6XAduIo(nN!}2nG4qZ zBNG%QnE(Xj6}s`;Gw;kD9|Hh*PoW)_Cjh<4EX?92PKi-|hR89yQrjKt*RH;9G2rH- znUCVT%BJFW>u}c5(C;T%iohOUF#RY(I7uOX%|*U9$sgeQ&;LSA8&5NELf~%~^ET+` zs?lD{q~EsH!<6_KTsRiqs3Y;EZ#=!?Rv-rctwzAcjD^7q6#j=s=a-UZK2rEmJm=Ru zqyGAK_6y-y<5of5-fON;F(~ig;9f=HS7~JlENSIc(Avx=LtdwW{sb^>swr${G#y zz!*68S+Mw&l`K&NUbv%wT4iIs=7H#{+G)&K8PMafcNbeaT6RZc%O>{zF{s<_?D68) zH*Jg*3KnrMBL9O?%GwZ}1Nk9XqxI3rL`WGERm`r|22;4YU-B>@@Qd$Ve@J zIfio+K9{iOFxKil`9AbE`7vAW*JXGCG{0UfVN7i&uNQGlR_t^AmSF7f7B;&q*;Sg2 z?0ACDi;EsHvt{)EWe#y2w?iB26Bu(c#_%c-K`x#76&B-CuIpWC5K4l}1+txn(m6w* zy=e3J8MNGs?J(qDFZvc&3YTglcoYW_aHKyRuZYoq0pNB23<-P}|Gf4$#oAXJ8;FJq zn6h1k47mH%p}yg?@VliuY>;5*og6=!C;Q-9=>rS3qgBUzci%<5ZkFS#xwl;QH^Qsq zeZ&&d|86L(Pe!_EFn<;XA*5S%PfsLkdvad?FN4Cwca=`S&TQbl~gk;K@Pid|HbpgK$#(zyvMvg_7st|EO_h#_sHNKMtZgd$PvhOr9cM?g zGl*HvUoVY5{lH#&KG^L*MtL@JluUNQ6MKRj_FrGKJ$;^zIrZdmug?5bul5}M5M?3Y zuoz%ZfE2fv$g))zb?{sHfb7JhvDJuv_T!2uG5N;Z;L7pXgE{zjh)Vo+PFkMtCwWyJ z;O6Rd=$djg5{#vBs7R@U@dh6mxS!xH6r6^i5SnY7oBQ_EPx{GT`m^|r z@zv$%Y$%Tg9-j-Ew)1~pb^QZjD@_M1o&DIQ^sKVKc?j4FI9rP{dH(+FN_3|nMD_eF z$ERbje?h}>*5XfrZX-`wv$c{Y0mHdCpMbk!c}Ba#1WNYPsmYC+v^PSfNwU9a)+xr$ zv$iTuNQR*hf^Awt=K$Lv=vxUbXG%E#@A$G;d^pGsWjDNZ{EZd*{O^BkB=!}E z&)oTDwNhCa$in!?utXC`sKQWazu3`&9G>~?NCzTD91Spg?Npn$VAinK4A13pm70)T zHN+T!g3!@n82I#x%Ze;4VPWbK2bM`l!ogi%%1TC1j;xPk!OaIgYj)kuNOG;X>U+ay zFmG5GBWPV-sl0Xs>@+zkfUL`k(WN% zzg|EpheZ-rn zwJgQ6E30)2BYs}3St&%VuN@aZDxdF)A;695*H$I%t^rd*$%B1qyp zpEH16{n0vZ`?y;FrrL0jlLcL5tlvav%&~z=tft-NrG#a1;&F}-Q#aLyFN1;B= z+gL64(JoT^!4qQ5_8<0}iVao1bU+iuk+}wX{kIzwjr`GHU#pgujF$S%^{Ra4pjy_W zWGy5@e!)$C2g0#MmX^?#wiT{n6-$vg;J+vbQc_Iy?#O`d?oEBrp+GY$PShD8GT?HU zSt6eojZM7BmyL*lY574)yNzgK-SpOnKz0WEf#Pb7tI*OdEw_Z;a!*l9VyX1^359)c z#g_jIke0Kqwd5;A31%Y1nt4_!B5D<2r7bjjM-Q0|CEMtb?gkkuDJDXH{zaYC;w32J z&-FwU#07nb7YWhFNhJOI6BHdh0LhTrd=agH#m|QHVSN8Q0@0y(jXOUKXB3bzfQRHDi`5-w5e0$#UT>0_?tN->5x!BfB?6O_Uik#2G z`;vjoV#YqYzKPKsH#$Etc7=5nj#ZlBnd-Udp<83xvj~k60CKCCjySR!G z+$=3eu{fgHrH2o(KPJY&6_SM-rmU8#SFOLM&!2+CDgPZ3Yoc){SXtJrfL_u}l9cGE{1)^k%2K9YF?}fajYwgW#*WeS~gHdRUlt zc7J!iBg_>U1Z=3Kt!E4((qQ03`?9g}K17AYq>lp|8_(XNS#F#UPyAeIP&6eGJwIv9 z47~8CXS6oUZ8HRwJcb{%Tm(8To!rsG)rIt+g4sn&%VI4KgzUwV$YVpQs5d~>4CULc zbZE2!6pdHsy%t^fxF*(J-{(3~1gOm<3Lh98KLgHhjztvSQFe0Z9|$Z8Zf?YxV%P%5 z7=fABp7w)`m)8rVGASM-1>HMVAf2*gxd-1vR8E(&P4@6qCDyZ)Wj?;)nNRv)q>nlK zx#A!tB;A0BUft={UV%%*ut_g}Z~b;65gV(6};O#l6d`|R%2{1W;5$1fJjcWi4h zc$}{8u{)rem>t?HH_jEIzgzZVT-&H81-HVtBQ5cV=Q9>H#6|2c^q)on@7h5*oGMP< z%M5VZA9jl%=f~{$c)IimU#+m;%GGBTJ14j!PvSiH@$A$MOk8iyD+uM0e26{qJA16J z8{m8({rxQa@7NIZSbH?w@zS*uW-{OY7och{h6hqk?Rz-6UC1v>P&EmNlhv%%2`Cwd zpz7Vn65W)OKAiX_9Ftx|wb4oky;7@vc5x31!Hh|3^A9z*yp6Gx+oVt(9MegEMiPL{NIV4$r5OXlHq$OzbP9=VC+A2D{{+3p@xZ%x8<{_vw zYGn{fJkn&za_Z1+TY8r0@mVYq%FSjl!V>vNVLjN&hb^NNF{q8RK?c&o6nE2)PT-!l zF$hUDh#FP)5Veo==DAY$(=al{!8hZ3=a+L7!)E`4U37=A0r4=Ub;Kta6(c_tIrro$ zevG5>-a<>5xfS;$F=-7I>P85SS)21IsXM}L=3;h}eM=aw3ptyDWA7KN1W3M#obsAD zF;}MIj)ZhNE4cr{hz&9MuUo8mf1u--w8_YnpkM%ZUi819WheOeR?Y~ku7pVu?qeX4 zTr$OC{{%ljE_`pFN%PYJh%lfmGrB?$#Mrt#ImKg@bo6&UZBR`LSeS>%w!uNC_Z4n{RDPO9soB#lKzr-frbIDW<5 z%KRrbrb{;$0!o+3%l+JQ@5@HeElnwldI6?D^?*}Oz$K-#tS1Qv!V-LbeV{)Iz+uLz zK37PfRl+&doW@!P*{R`gh3}p(UzScTs*3KON3N7k@}e?&{q*0t-_qs-E@2~=5%X-p zIycY@>K7Ke5+=Tv2^!ioN7eKVKOKt&Fph=b3&>hCf!3VkPxlo6=!LXpza>M7S#ED(7>axu@wN0&==X@Q#ZR;prTNss zrdzNiMIweyC__`gyPwv=MjZ9W2eI*`7E}|pNA03S;ty>(1m3c)vxvMV`?(k;)D{M7 z4i1OpK0g=Oo>o{!87sPYp4wNsf?|e@A!57-emrFu4~>5hlJH-dRwRd}H0*2}&YrbJ zIAM0xle`1uJm<2O2P>P@b3dce4YYBK%1!w4H3f@JA%3YK{_QtM z1{{~y*pwh8CZi8fcw`QCHR0WD!KDj~f49wJA~cwJcdwfPeB*2oZ)1F3yjkw5tb8LU zyyr&bYpeu#C1h_feufOnf#BzoK@Ur7yZ`|1;h*&Fy=o)w*>0f(k%=2N^^1AAucCd9 z{r5zGsn{ZR=qmRDL!AYT;U;d5^$wIKSd`B|TnS6wP`~7%j33Z1Qj;Y}*vqh4%xSP3(?lzFtU3LBvo1uD(z# zoEwAh1yED!bY|WZ*Hm+;X;>PgP<@i|o)jET)FLO0vmlgu4rD2R;3pqCYb-3>b2iV1 zEN7IJ;a~K0K}mfnby!2S(o>tZWO15!Du{meKu8UfI5Y`)x+^1xQ`8z{0WHe-YMTM-U4ngBh@*@=v9{kED)W#ZAcC-jjWM z=ZPlg&QcVI8t~Fbr7ZJ&r2tcDoow(R(TCo*-MWN0>WDjC<$q`u+@@CW(?1rae@#)v;m6&bCtI<1%*V>S@l)uCt+GO7*|rcz1~Dui@F;?zK@Er#!3a#sobFN;->8y{vS zP;+`1XZTWj5-vjZ0(kf#%41Z2o8w}*+PH8ozCYs=-PA|rB}35YG#{(w{Jm zA?)uiHLK(fE>0@813EN;&oDdQ32r#NYHL!^Llz4(sXe74K$!-^Xm(Yg(Y`vq0uhi+ z#!tRY3`>gE;LW|peo0OCVZp--pW2%jRR#^Qy}>t7I^XiFjI7NoW48Rd|JOu&L}BZY z?c{aO)whtJvarJPS@sp6y^ZpfT_Y2jvGP2CDKcZD+ii>7>xN-B%@S~W(R8k`xV zvGD;b!g-1Gl?)**fmA<8Ma)sySc9}i4pF3!_mxT;JR zCf4*yBlY=>0dJ+so=gI=`OW=2C$@svyS%eesU52gX}Fzskv^{0|Ooh+5bjJSq?1R2*T3IGT|+VXOb4vU(i>KDNzjl z;(Y}W9wWKmTYI*(|FkFzcx-dY@(Z`Y!c!DI*R9n$Mz_{VD9Knm05H z29FIh##ACn!JFIiv6K>3*@D$4Z9tQ^bI|3A;2g(n>!cSw4X}@ADGCoq2i#C2>%-A+j4==0^PFP zHSh5Wl(_6JWN8)6=NTDzC=z%t&Rn&1=*YFqlOdFn4~HTIKcr3itdsaM7B;wFPgGl) z`k03?jSJ82cNgg^A(Pq7>{9TNjKE}jQ~z$Pi0O%_&6F*NMustSu|dDotB(h@1mVdz#R3 zTtKbClvqm%<;Flt=&c?G-%k{JMQG`CBm%t-PNjeutL~Qsp4#`;_LJktk!(4ts1$lM zzW!78QGCv!KQP-@M?L4F*;<#ru3*bLTu*L9MA0bUOnKIH+(P==jU4Zkg2c`hlklxt zjMP@HYO6NfciJpW3+lEPnS=`3P1H|1h?umiugbe1M!zu>r=Hz1F@d&e=p z;rjVg5Xm|ERfjUW!W&!bfBAD4ap_Mv7|x;d`AM6+Iw9Lc^PvyK{U&0F{bH~2#82-p z#w3FPUzg`@^Y=ZrnAu?g<1i{<;eO85@p!K6t>S%L;H;XT74_oQVjJn&*`?$EpyG=4r?knZ>F61O0FpNnZc9_s!V#mPj#o)B_jRbe zY8|qCQeeVoU|<&tktN>ac&^V zlrSF=+b?&(hkiXZdWi~8d1%i6`WyAM-2Ep?;mjQ1Ugr%y$#GA+rmsmmf!uO#nThY! zmup)!@nZTL%$Vvm=^v)W?BjUfg~a_r`C=i8l>Zpv%8)<8gnz-Dn*-ui1+?aDL5qi3 zN|bC}#-g3mRqIyNtKrt_E$3h4AR|vh;GD*K*p%vN&kl_VM4GB7dQFHn#f- zZBM*-Hdc$p9hq9S5B4wH5$Y0`zV;zWcOnKToYMG;R7ETW!yw-KJDfr?HgEvli~N@Fiq#j=Yk*{s3Q(K^ ztfl_d&$kJv^*NVgYfW}KwpnB%_`@8-8g3{zwo}X zHlN+T=PK^)F7JbF1J2~JoRbIzWx*-CblXDylKk`(Syj9Nx_CamzaNu*d~S}7X8?x;3+21!-XeB@VmK{q<_Moxt|T*(Q^z-!}^H%0?)UG#A)INLT$Sk zQ4x{rzEH`%3qXDShj*-p8w$0<>0~x6WF0l29m1Dk&uji61^PTLUHk_WZ%nVaqsd8Qi#HPV zeAMyO5HxS)v{ZWyrUB>(w7W~B8_^M zox?Yhiag_wFy}&~j;rDL;Y5ngP-`6HtNGE-x=r6Dq7MXPmx!O>e9_cW1f#xk;WzQ2 ze-M7F-I9{e&;*CEBdfndvd87ZsIEJtgayVtlK0{5%B3rqP6%U*eXP=>G7u$7zddtLW z+SZjMg`K>lwyb5<6dh=-+H3kLEZhsYKAVx6=YLHijBe$Lpe8u-Y?&@^{8aNR_{}DY z($_m;}j`4}-;qk-R%eiGWFT{>0^!NXLrHe5UnLs22t)gGc_+ zANh?_Q?B|RWKSH#$Xl#SfnDLSV>!9RxG!DrIuvXeVeB;pN(Dp z_t7Y`7L**ahbgfAf6~hQm^js33FIwrUOS=fT@*DYyIEaZ^K;;tq#O0S!7(5BLP==k zKw03`@S$eD@s>yr6~n0+ql@Ad-?49?D=>HpQ`Xxu{R$~%-%U1ooFbtJl=kN~4bX$% zRS`FT%fSTpym)eFpHT1PY&J_s$JXgVD9nSGXD0T~(xY*?k`FbK55N=+Tvn>tO>rPs zL59OO7K{$bw$^fJuYMD%kO?n-V^XibBfft4FY_TF^5)^G{*Q$`m>yImh z#O9my`?O^5_UpOwIh;G=!w2)e0aG5e1TN=RQnAe`xMgywTA=~ z&Llb?cb$0YW*n`5D?qVPZnDwnvL!oc^R@OHd0y}3+dn*Uq*3892>_6I*(?6BSEvEe z;ry^#@unuK5*8dWUckF+$RqmGl9WgHJ#Tu7j{1wMbBE!FU{DZ;5$s2<4nUnJw;|$I^W2j>o zpn3Oo^N32L5rh2KC3-%F>yzb2!7S}ls-ZhG^tC*PoA2Wl?-m_ZAPsKqOe18xo7^Y% z+RAu6uA*65KNQ2+{&Q$A$)(Nz*QgE{fN03QY~IPdm7e#ob8>`~uI%lJ`ZQ9|+`u3o z)l{2a2mDz%J*dRPUHkjx)NJ|4)7jNE2`?s)NqpR|!xvK-3CH{=KKn*zo1f@^)oSVa z13wp%3;YRxbT z>Zh-m;9~9;d(6-R0?nq1vFwOC5cKgH7t$)!@@ALAKfTz6#!g6PYZZSU_t|^E+QZs* zSKsw?z9*emW5a&|QjIk=jY-k6^v4N>H{63j7FI~(-RbXrpeCY49zDLCN{vaHmS>6< zr`XUftv|uabj<>4T34ZNRAVL4!NvD!2zU(0iumn6O$``X4~A(%Rg_s6UZ3%+g}bRl zm=$ZtYVc;JLnBCel6I?Kv3hkap^MqB9ASqdl@{RvWV+0#kWhl?R>4$KP4fu8zAyPp zGMNE-LG?P*B(Dp)7)Vqt6!|KhgKSVcTz5&hhvVdFnZ? z00~ZCAn;gkqtvIz{L;}b77K@>RrLsbCnaTTS^bZJ=Yx|P3>$^Ln+1n^JO7uHcS|~b zc7z7y=d=%tl!nPx>7J*ZngaAUrpZaf7-@4|f5 zYLgK}ZcQDt_!ke~i&w1(1SH&U9@d{W2DR(}l+2acz_X0S>?TZPNg@yImwZ+sHHVMN z$2Aa$C}@8(nX~`SthKm^<^3yX5hJWw?a|r%AqzbxjufSf6R+WSHyrDF>WV}MQL;*T zm->z!ekLb7DJFq-)&NM;iBc2~rCY3gAHb1;x=uNHrjYCGUkSrGWq>TvY-0ZALBEgd z^C*IJMQw7B?;NQSqY~v;^)Q69C`bL zT{)RwcmR(*qn?e2^Mkc$7I6ZMk@D%Qjd7SkGe8C4FyrOMYwHK3hq~G+Agy&F5j?%Xv-jEz>ct5ga z?{N#w6Rh?b;YcL_*7tSN^GQF^Ytq&YdHUL8*omyXExJ@^t##s;g!VDsYo00K)aaZJ z$Wh~=(!f@XNKkJiMAx)gZ;i`H<1*fx6Q3ou{G zu7_Gqz_ZWNW38E?>B#oFa|mB-cauHh4D9%X=J;f9+nO-J4Cn)h#ei_2#rYSItUWsq z-7S%M|_+uDWkQNy{4lYJhe0+ZrDwU z7f4c-Qj`rrnYm<@N3qB$!!*I$WE4%2@vJ5E&xrP#W`dje6uIn<wC%GgGWU%sDR`XF)} z6;|v!&84F`cXdl^+oXVjkRNf%7?s9ti_M$4s9cEG=YNL*mzR?Oeqkt6pS;(N+xxqR z<{15CC^a=Tcnk3306d!(K1+mNiq0bRHTKc3RRwq>p5;p^SG~y2)u#lX=EP1W1&u+0 zR!as^Cm>p7JoLGjBaPdrhe5D~rZ|~Ptu^Ovm~YFe|52Z0!*m-9uI1}D_+0a`c-H7R z&U~Dk{>xAbDLXThjL)bih)XWjOss#9IzR`S9=!fRKNJOvItt5)f!F&HSK z^lv#6=(V!oSV=}ko4sAJ*=CK)ebd6ti_1JZF~du#zX}X_~7O&_luUjDVtcz~RmEANNiaT9Y?7m-}R^v(`ojRt=x{%_XPGQx@G%ORJYrZ{ghSq@mi4^GeZTZulO z!@kj5p2{{|+csTg7T^i+eYzJA*r1H*@Vmh^k`)|M<85kdiwStk#W7ioobB-pksa_g zKA2{KqMQ+&yyR})w6rnAE=B60cd)-q?)Ze2Kz5!<;@U>k_Lm6FC7aJqe4pnjfU>+6 ztKrb*Yp&SS5?SC3M~!7^s|>pW`8N2HX(xz#EE7ae)SYran5+@8Z$X6_5ST zpFQVtHskel5!m|>P~kQFO}yI%AYl#W1M8(TdS0j%-)a_fo-a#&T~%54T^kvIH4s+| zlEhnNSwf-jdGl-3`bN8c+E8gt{fVD3*V2kKuX_9Pl-6WWL6#XNg>rl~(yneVViPS}q*L2rPlkr>c zgf>K!YKq%_)SfX>i3b$6@~*Bn;ur3p@%A!ucBXPA8;_KT-{dt_VoZ&TrTH&4K84BZ z&Ier_3O0kQzk0Wo;(4ep*H@N@Y}k-%`3|GH^wXO3oQa+>dIvab$qgCVNF>KvgAPWIkk4HwH#yi1-ZuGtxQNpW0V zSTL_7drY7o{s@B1zr-#NDrHAZ3h$rYc8W(r%L!N}-l6D?Mu{3-c8I}qr%KCjhM=(} z-w4tsTG>mcK58pZ7;?_-x{HH|n^=J_~j}a^&?((aQF=)rd-NNS=UlOOzwt^rjoo(0Erf-s>oa^3*=oNYJ`ceXL2G7Qf zuhYkg7nxE@EGQ3I=K9Qjvrk(@fPtS9&m=X$_Z{O}eME8)L5rYAf)hn!A{OhWQ@;R&H)xwzM3P}nwqI{s z@~#_>qY*k%+Tm8a$gIEmTk;=IjU+PTl7SU2dhroDa4!UMv?G>~%A!+5VY4D>HcH77 zs6a!MfYO-W{gP&;yrbrD^{uVEiHf}j%ek(j9iWxSl!uo}F3F9W9dt{SlmoY&U$Qxe!Vhe5^KI<3Ia2&Gr7Z=U&1^5(Y)h13WoU1DN8LH-(s9A>~jYI~E+Ae0fo z-9xlKgyKY5a_7#=$7n%pEkz{7g39=v{$nIh)y%XC#y*4j)-%x5()8kR$;Z>+Yh!8M zje+{hO=|kg!b4>6H0Dp`*{1Un>LJJNQN8A&(H3np=f+;tGR2v&@{S?Z?-mRRTV$+X zmtQr6z7rw=RqygQU4}Kx&BSX(7#)2u(~A&EQGvoGRR}i0+10w2ECUbf88WuuX5bj( zs};#Xu@ev?`d6Rm^a7m18r4gGlC?uv8j^)1kRVFxLL_W?ntQo7DO=cFc32)DldYr9 zU~&8lMZX>HcvQ}O1mJb}PobCN*?Qws=eMbjHr$gNuAS-%H1cu&D{9rTZP!9Ed)Gcx zg#CI{j9WxDw9R}Te7iQbd>sjQ;&Q2F09EPm_cS{KzEPo%Vc=xv zKYJKEkq!&wrp{C=JjVp=O{7g;mEJt?Y}_zLlP0P!;}C=4WL>!AOn2|4O7Umnea%Ji z)rqIr8dBH9?-uuNdhI@=@|Z!<5%N)IYTouTKE6}VIvaf2(sxRl*5;f1g_)nSNp{my ztjyHF8t!(ZebFv1Hy4>x#p@7y9T`*}hXmx&-lM|__3~zRGGR~PcfY~VbiUJjjpZ~< zEK692nwOQm@PLKGzgSq)u{NoE(|ajf)wRyPj@4-FM26;lVJ*tffh=+i=NrbK$xE-| zi5n-D65}Kwz}S)Uet2qXO8mr?9ce7L2TdYTx|&_NLj9=Gdpj2HgmJq)IsLCZJB%~i zp(`BmT(moS+1L|v*#&G^t5WVdijTWQR`nH!Bux2By8dWQEM8CMH{h%t1DS|rH6(2v zJ+y&0QM0WQ?;a3h(uYbvQ1jRe{$e|!=34_k%gf$OMvkdF3l0v>4siDhpBrX>2hB?l zEggLbZLK@8;PdF8t6T6mK*1_{(|o_D9z>pV;9s0kE$p=t!plehWq|UtR2-_yczRiX z&=b`P|Cg)J3V)-X?c$CI68L&kR)G4TCzmcoPC-JGPY-tfk^kmAZlfgU3XzvnQHrqP z%hBQ{*#f#X$$2t=<^pR}tCCZ$MgOx+)Vk=a355NI@td2K4pM4x&a?cv(Jru-E4lv1 zv0Ep`1}qu6qzCnp7;yksNjSC?H{nx%t=71wX?3a9*k^78s}Iv0sI}skoC?6)E&DO6p)2s|Um&_=B9?m&MIXQg@;Y>0uz;?nfi7&~Ph2 zolC7OPE&a~cRAq=bZQVhU75TH5CHB!{|Ksipth96Wi zYmFTndFx#vTTk?@FTmamXq&2Qd!@Ok?^q=_f77S@e>_4QRHO6&V0hyQMNsa*x0M{6 zaBwrv{+q4-HRTBZ;}p8c_VjxT&BS*ZX`RWW-9HTw1k65O++Q6$1#)q?a#U;cA)gm) zd+gs|HQKcFA$;bo9!zhk5slAuxb%L|eKWy9m=yBCmpp&}NxB#8Xqfsso--O51PqRf z96Dwff6eB7Xx^E2UjSu9*c}4S0?`y-89~Hlv^W5&YFh-*!`vE{IszUT4NY50!*1~T z1n^bC&sI+_3l9y{%87?6*hbsO55y_a(4VlMf6DE3Ykc;I!^t<|-+m#BrdL2PiT!-R z`}vaMvUDwf?d`jujdyrN+@IdX$nWU>W*$03LWumF5Z6Pge^D&^q<7$Rtfeus|EYIeE(mYQXvK$2B?Nk z_e2j$Em$@rt=789zg!y{tr_8^2p0&uN-hk^5s%RB`I8kQ6!E{M?X2P~1lK5xs0~0h8f}{T z_j#{uopIj^H`#rd(q^pvdrHe0kJ>|s^D_Ohf2BtG{SV$uWh&7hoavdljo>5|`bSTF zB!_h)h!n4h1TSNRf(W<`Xi^eM??0d0FtLN{`Hi2T+^oNhb8N53W19~b`Lo-!W zSJRz`Q&sy)mn7JS>so1uWf6HdeCk#}bAzwlwu+Z}ySiYgSrwy`d1{Npf)iR;?UQ5N zy3wYzP-vKfV>N2gtAm2YdlHyo(#uyuDBOdxiND3m{(M2R!M(_sn`e*b_#f*=8=&8> zCO`cbcHU}uE1#qXUO|1)p{8tHI-!y~%c7CTw`$f5-)~?HO5tp2QbDi;W|(qoJH`9% zKq7|1B}}`hnz@Y)D|LUrA}HR~P>UeT3-#;dOTBf~h3FDas3BX%@OjR4&y`t&)z^uw zs+)bL6FkJc;Ba{3Bl?%JR(}_-vkX`#XR)ppcm0-Y!bs<);?nzJ}(Z4 zzBI3+{N6kw))>bM)xukLZbWWceQ9%->^g5Z`k}@&>Uud+P6t;z}e?EYARgY)im2)Met!t#hv(hSsBjbREqXgqjyD6KwzW}(-_X3iVISQS!Rkq zx*4Ee2}aI64fPz!myI1g0^r8&YTqPkB*okd&N*7?XHlmLIOq4;%x*vg!gA^ORK1lC%WhztD2GAwHaxM zK^`&p&NF}yKC!OHFm7+asu6h~hqR}T<#JaKO#bB|+WmC!l7|de4jY`5S}TiZK9W#< z7b1$8>u)@l<{U$$ir1+o4DBnpx0%TP62U;zkZY)xF7Xu-w=eyx*0}#s=cgvK>*AKL zMQbbp;=#Ji_u>%lA5y1`?`J#-;W=Oa!X>i>F|KEkBJD2dfjo5uuV%Sr*LFT|F~4Mt zneme{Mg;ioJ+RiipT=Z@?8JvweaT3gy0NaC&l2_P`0{zZBg(gP-d`;+7`S^zbRv>5c|xtHjc^x@;=S%7?8oF1)Qf zwU{t!^XYc`97D+j$3XfvEJ8tLD(>t>xH=Y$MVof#sw&_a>LtyAc2YXas{YCJoPtjE zK|H-)W?<~+>{|_JCyVAdHRs^80AIQiape8L0H!QK9&+0n{yiVMZcP72MwU#cE|7|JexOEQgO#iJh9urReP zHOUM^YDTPVFMDc4UQjHvEjwHXvt)WC!iW87a8k^@ymYpjtZgi-lW8f_7@t9gD$OUB z%*|&Dna}>Ith0cwoP;;z6A*^ow6YRQYu3tPT67q)YjCBHnaRq^f5y`nu`j zby%*yZ{-7OVDs%`I(PVeG#xK(b_~Zz{yMU)JPlT|@6ogz=EJj0M|9uTZ%K@r?E;7M z4v}r-d5DY4s3~M9iu6QC&k}vmS&jis~}R5_AR5;#Xdlp?Gts^p^Rmd+@`-`ugyw@2$Jv5g-##{^(<7FIe6T@`B#CVMQgU~+@dXxc3T}oX#TfaZ_@RR>CSY9Ig?Fm zq{?!}Z$+zNR-B8@Y&zA+X4vMU<1I9wm^4k_HHnB)yh%xga3WoB;x`}hr4AelLw>}G zj0#_pm@E!bk|rs?Ofy;_emTTF0HwMh4I`~IOsul0PDh+pmeS4&l)h@qM!?YUQYw+G4mBbetk#-E5zEY;QzwZnLo3V(t`D=sJ7B=u3rCXKUZq?$lKKx0L3jdes?$9U8)iC<|+^5DtAt@pGFK!*N~GO@Da8-$3t{= zJuWZPX4`}8Oh0<@rn4q1)F+X0l3=1BrU=i$uDt{^*@!R{zYZdPgmA(cY}F!O5;1I- z)bE{+7YcQ9K1LfF)`|PSY=mK6*_#FS*fh$tN$E+UhRP6r8k2 z4X(a(3mxq!WxJVnh{RZIftWE{j7tU!dY(yHn_D)D6hwq*a4r_PP|YBKKy%crjCS)s zr_BnmPAs?WUM=ZZeq3iM(hu&8p}tt9THLEbtIXc1nax|MtXBmq1r7>KsSkCP&qctq zdf+>~xn|L3Mcg0JFsu5grLCGR!0}_6SBmOHG6f6c0rloLjsR8u#nU&wSMCL|U@GZX zZj(c+uMb2}g@gL$JAhf5PMg^U55@o4)mHEZPPSG+We^l;D*kHIApqIL?HTpsf57+*aJ*NV?z1YfaN< z;#-A}WH64Z;%>;@+_H>yRGs|Aq&p5fWCL#PJMVXa#wEfkAAV(?`aDLN{9l5-MY`ZM zV+qL|k#IXdy$S^Aq|PIj-M^A@v^I`hIN6Rl%siZE?Gz9G9CoIrV@`{xIai)cW!Zd@ zJsaUwAu%z7YRy$BWT$sDRtEp{`0Q+WG$uxQ^k{SQcj}I(X!eAW5t`7yI+pS>7KLqe z#ti3#5&bN40J-sms;swYn9=a3rY_Pks#SkW{CR(~rfuEV$UX3HJiI9ApT_uZa2}i@nhB&?HM_?op8E4 zHB_mFyx<~F&jmnU4BMvQ-i`$mgJ>e`vb@x|+jq!UGY8!9ZrY`;d7C{N1AYyHt@HM< zYQ4yS*aGH~uAPVX1HvNHJ(@sz`NdSetOLZ2T9~q812}=#J6^}^eZLzO7vhJ}ZB0K! zuh%SFTv?uH%dhUt`+>9ktUNQ|)(cQM6&tn+^?dfWe*(9+g1kV9U0Y>&vSTvgz2(S! zqPKQm%qo^6w`1acIS_@hzP=7be^CSjp<54TU(NAfWP=Kf-_07f5(j!pEt;cNI{ZW> zG;P7|N=u#Nu~EoL)K2HXxTgP@q9|Dp*PmIB%Z9&ZVWv*p@}4!ZesRF713-ZL8StM! zD_abh-?5oQj9dysc#Q@=J9(2F@^d8%|M~T~m0ugD9HUFp|L06ou&`A05M}gH2NkyL zj+e+gmG)Z@$P8?!0YH63l2ce~6++UmI&z6M(yd7*xib^VlRAj7KTs*^ePl3mF_T}~ zqDk_}dLuY8LB$$Jiae4oN-UmDn?tri_CPx5ni`>W=tCe8yZdVNpQ0D)RXjNqhyt0! zOPb^!s&FALDF@%oebHr4_`l>TdZga!GOI@IQkp(_&T0#VC?w>5l`ZCmM&RNJ{mkQ8 z=fL70Z^3&ai|!$u*AlA7f2$g;!Yt8YTuW~}b8pG??wGNuvi!nDswo$Bpb6a-uQrO! z`FRfIk?xqg5{m~j^mDW`S)}hyoX@zo4ntMF{kmkxpK7j>p61#o}qrWX0U5P&J#g? zevhZSbFYro60V>i#2S9@qmn<*Qon^rgv)pF#)KQji4m zb6R@4ZZ$3~&xA7fk+M?q7_YfrZa zq4=zy-dg5Wox3QjEp90+BgFur+#&(DznHJ0_LknvV;d6>_`m5(~J`&VDl?d4I0BLfjjoK+VhE z_x+-dz2jL`+^zT!Ns?1WBMsl{lTjP+=3)1zsIT!pwF3QHntiA%nqqjM3xN!>0poQ& z3x;SNd6O-9=vF|!9>_JTZ*>p^dNX9OmvO6+1e>xr@}aC#Eev{0?$-PL5J1zuwh*Qn z8amWR?Jub;zM`>5NPzWC{KKyp=Pf%(VDKb^D8Sm>usOTx1&&Zht-E;r+8ei7hZ1eW z$G!yl_p1bkK zOBwSX(!I1A8iWH*qV8t1mQi3-z@>tHm{mRhMJdO6Kdw~db5)I8Wf{CQkF-);T!kg9Gv^>hP6hUYq(d?W;;O|C$%3QBKGcMFA`Z zYSe5if4g@$k{ePgo$mLjdo18tFu=8&OC~NR;$E-C&v581|K(w|$z&_BSBqawn7Q;-KG|;1EH|xVHhQv&`z$mYpQMWy4`J!*p?Yv)2uXY%(<8@lfQJtEtCi-BQJo)UP8c{P0}j?|CVQZSErQ*tMeWW&MI*EU zUfGM0pkw=M7*?9wOnrJk&n&uy9Zmk`SHU^^<-=+`Zak$DX{Q=461!(V1&$y96*h0`VN+zqX#{ExL8L4nJ}` zjyqnbVtub51}~gs`wdxan^ptGnORw_?{j<3`*^TMf3Q2u+0XLz3aOdXlNWW^jv37f zWl$%w(qd_=2M$WkHc?Vi_SE#Ioxk*0pP-a2qQU)1R905j9fq&Kfa@x1OL_Z8jOUYD z5cKlMb#ePy3%Ocl31@12?z7lk4^EC)2qtg(7y!9{i0+x8Fi!ZeqMK~=%S8r#ytbjFa-p5S zc#IA7NfDEQ#(($m4kb!|77^mABKRVtz&-UM$fqajpO!@CVfCb4kZTqa&0CA$t40-) zXXg2RO)~9vR&3e%z?O<86O~6Po(bQqLOmZYLHh>}ZZeNiqkPVSJ8jIYa-S*|xcm#% z{+RsfDgQ<%a){L3_yLLPBhTXofoZ0NjG*{OwXR9fS3Z!hYocvLY(cNT!iPPJ?8HoV zyIgG!%i63;dc8`ZBO{lx^64*Gp3(6VP1OqKaum}k`M=js?fF4;E>2GI@7~miyNvDB zY6BEBVSrrk`?qZcU%FL0x(8dYk9C@yTXfly6?P$a-SUrE?dU$(nebZg$KhXKuMb`H z6~ZDSJoP<>4h|0fMuNh^ABHx~&}9)~hV=xg>RrKY1O41*845^7H3Dk%5 z?`N2T^+Be7yv@r!3q3cyh?|>D04|Y6Pywc#TDj5j}=Tecq?mwQsBTt-C$< zp6NaIEx6IomomTrA=RWc>ezX%;q9GnT#5hn%?Il`s+6!9X8d2Xq=j$N zat+Lh(bi;M64&Fb!zQs2`p@evB-M!sY2&TL6aReUvLPIw#$`;a-pQX>-Vl~iKX{9Bd{{p`eb zeD0e5gEIgs5a-M|;j-d=c0G~()>t4%)2=)KHE7nP--qkRC6){cP6ZBsZQA2x*;-XC zdGFHa&Wn_Ts{m+}IhmfAhl2|^Qc+H8-s;a}d<0!GgswHY>q2!P=WeZFy{3%QepiGg z(D}5IaUK*L1ZTE;=p}s*AFp-Bdb4VfHQKF1rjKPt^c5RA4$kTe+?;MF6x+G)9=-UH zPeCW%gL=^?5FnpD#GL5ox)Bma<1#L*j=WxrOwZdIQ=d8To)Z3}q|^W;s z!(#pt$%q}GSOqr1t9@6;l=JTMeg&e?s-V^ud^IOTk-^6M%%uvqIGRBvwz~gTy(Mq9 zwzl>^e~p+&cpPF_0uJY$>sD8y%*@Q%TYwe15Qd82`-Hg_S%3T3SQb%a0joct97D{h zQ1#YXE9A8#JI!u-5zWAXy=*0LjkL+Rw_V?+O#dF#LSjO^5<_qrGt@fZcu2yM!}u|r zaqVg${4Q38c1bCh0Wgbm-6c6z3kwUcEH9@k(*MW$L~J;OA=(YY z6s#azCw1A%vcoba*izsC(lREfP4M)eajjN0-wm68E<7D{oDiIZ`0O1U)l$WXtjhF> zsJ>XGE3ET5Nip@MRKb_1lKN|n`YfEW(zzyT z>$FGcIB7twAjeNsv&lO&$z5deKTI10D`(5sL9VgS{@_dY+vd-xReQ~ktX1A9@ ze{^3>4`weP@rsb_BNkgA>_2D4>piE2SL0E0((_Vj{)88kHj}jEn)WkNnGmcs2WAQ2 zi^H}n)mTk99Wab$X*(61R9lpQC~vE-DETZ!;w73bt8w@7+Cvrn{>=x@@VtEykN z&s7Zxed9BEyOHya8tFu4&nCD{ZzA@oZJnXs)zVX)&Qe6$A+foLNOVJ>n^ zWK*yeV@OGMY;0_Knem;8iAq5&66>Q+*j`}qS-IqA43@<=sM321*r7$$dv`(dJGe#2 zbdknzdLDY-_2{e;TMP+mU=3C6EeFF|EllLVMVkj8z91nX^z~)!^)*j9a`(86VIbeD zQa|cy#X-WuF6&a=^%zp;GCmJ`OTq)u1btg)Kcwa=sTlE-RN zD@rO18R%cvXQIW68L?e?SJOP&ztSs-bE%Wa2Me~hlK(bMwgTF{HmL#UXcgRe@-Z;48=ic>5j_oihAyi$aLINMP!FIo>yXgKBoix%B~9D#_EB1y z2&AD4dei4(ly!6?49hb>A$jleM_U9 zkpfzZ?mMQE0!F9p71Q+3BUlwu3ZoS)xzm?{5=ncXf#)7kS7AuJ-61CG%bqz7NCjd> zo2%D4PUE#TaqT0TCVDv0@4bBF;3(owkn^FgB4kRcHjUcgVUP8U&qQzbIP1|VhP-1n z2?q=Tc#2lyjEy~%i{)~3K2EA$OFtZ?twob=(OY1!bUjCZIM?t)TfB`?GUL}ZHoPpl zkViJJq*vuro4MP+mhjt~5|9Us)X{q8qKHJh7%8_Yjo!FAA7-`98>cMyj87v)(D18Q z2At%97mp^DYO1u0ECQdGBqX3XgOXqGNRsPlJvV=-9rmIWX{q~uOvlEypy+kH1$Y<$ zNg#_+6WIj6*qZV2r|kECbchQ)nnYABY!6*T9dmyxpUdp0(@^!xI>~wvg|6-I({@P>5THpt`Z`mUzy_lWK z0SLbc^c+=+zsyDId8DwedQ15+byORj`;kI88GAQKZ2%CD{)vZ66SU*NUk3APxe5(s zH@c99_wnR;7u)^^pnc7Rvpnp9gqTQ;ow3zb)04>8tL&Ez?dLUVvF8J^rq$Q%m*Usb zYhROOWTDt?3og*#Q@!r;D=O>0gUe_hSV`j{-D~gQCv{3 z&|%8Pj<~-;niWw#nKsaf#$|^n+hs>?H@W-H=p&h|^=3Q4ZGG>)U>VX9I#N#lUs|Tp zFFwJ$6+gwOEsE^imynlM%DecP)k(#vOhOIacf2Jk+cf&849ADeY0-+y|Ae19>ThH) zL*70ENDB(P1{~m*^Y46bjuuTgjZ*kuA`*U*FQc|islWmuxI*L6#n|raQ^EWsrq%N>nT|{bk@ABX3`a!U*_^B zx4ypK`ga!_uzFio21qrWcf#UM_^^LtMnrkO5$~(;we6Z$8IOd#0ts>{FdkU3(UAcS zL(R|p{QNm9R}YV{1iQSiR96p3S3!?fA=dHCp>-%%&%Rr4RY&(Ofx8XD&f=vYB&_Fq=i<$9+d!~uYoU4O@s9Z9cB_SYcX9!#Iqi7!I6k7yr@_@XUIph^DqUF zuor8@g~OkFlH34zux{x}M3X9YgtXPz)g?xPnFQI{`2UZK;9N5jwZ*6@s&s^da@g1m zFv6glfl}b}kTs;ioQv@dYYGUYL{@E!ds2n|C(<)^Q|N zv9&`ho`E?ye2S&lLXukv>nA}@@q3+Lg4oiuzxslxi|iRrXKa|Bh_x}5-#tZs!+@>Q zxnRH6``t{89syk%)jp_@z$>6rnCtNZ@~KU51<0Q^!%cM<3h(aolTcQ6nbFW|!PSN; zG$43Wx%rjbIHBjK$d$jL-!Fc{)0tWRPQq09*5Q6_{%&7nZy*pl^crR8dhO zj%)#kn`pWJq9GuE{(?!l{(`(?4#tkP{!{xV&x_h9aO~=tA9|c%r#CpYftGOasowI+W4W1ySlynSdWDdiPhGKG$z$=9PnzF z<+RroLtZh@vO$r@?gPuN^HR-b9or$lVNJ?=o-EPep zJMVM*H*$WW$DHSts*FC7UCa85ru&9FMX`{UEkhTJ%FD2(!k7;b`gIDblsQH5K-M+JG;D62A^;++X2)U?2LY>+K|Nrdj3HA<~4o7sL(mUYv?wGt8*p0#iBlwJAKODru4=Z4nK zMv69bE0Y;#y67Sp{0rv{tKxM7t=mx@hxLrTOnQ!`zke>ikJv?85zis@lZMERq^es1 zA{SSe7E4EUd6|AC+twI>MXtT{2*`iWd9)j8O8@e-pE)4Fy}Z9Pj~vLWB3>Q(_6euY_U0qSt4NS~-J$?z28W(sslfICrrSZLA|gc~D<#)#q*Eh^p{>EYGU_Ueu<_0tWr)==&d z$4M9aaCB?)qTy~7X|cu`;Wg^CS0_ z_#$PO$V$O6+sHVp-d4x@{+3;}IF{Q(x$0(P4aO_$d9oSJ9(Ba=blfx0lai(v+PHX~Q_Gi556U6FYOu-ricY^L7&F(**x<@||VVs^@ zil!;N{`0$i^^K%_R+i)7Cgqx{NN`CRH|-fTyv%X7iTMtEm+-#~e(p{$Oj)b>qcMHxCD zh_5!^mN7V&B0#+%A$28YWLl`A80Ed-UR)JGWppP)x4He_C9eZ?pJkL|6fkkyeBOv7m#vUtb$2pJ%n{k987k84CHXYpdlCLa&Yp z{}eBtX1Xx|q%VoU&qMsv=YfGY+^|Nefk7#ErBXe=9hcY}T@2X_Q8fa+Pp;?ywMX$fmWKUim2z)07rzFZ-ZOmso4{IuE*5dKbq+r^DGjsefeue4$vL=q0^8-EVgbsTUDPO9a zXJm!aZunP~R<+ltX-fSoF>T67ZKb)>596TndpZXMj@sEydD4ev^E?yqts3rrLUVfF z>8GuAz3&c}3TGy^7i_^Q%&wJ*-ZB7WXqx#Us;MTlH1BivaO}16=JHF&$d|9mUHRnS z`q3Or6ipJ!V&G5!K{9`;Vt2F$*=m`AT9KU-g5ldONjmXGcs}|U5GYL`sQ5!S69Au5 z5L*U}-?>dF>?6Cq{BsASOWqgTwQExAO;aW8&eBHZAXBsY#Z73}i?l_t+W8Z)-}&p$ zlS5Y5N34Bh=T*Mh!)Vly&W&wba1zQ4E2c)0si&G2xT>#wsywhxS7&GW# z{Lf}RZ@3_Axnfqd>v1ZV6{KQy@rhWnTtgb`qreTt0{d}U$W>d zE8S+lV7BLfA3LV`r^WdDU^PBzyJ|Xk+mI9o?u&SKo?EXMSH4269iEmd%is)}ZTv}` z-i3IOlE7la*weQ;wuimwaGJ^AS}P`w;JRh4TS-`}0R!4yM%d0nHIHV)^l#L=K?`5m zKS6E?-K=!|ZNM5Ps`D73GsA79^&N{U!lTh1&2rNCbJPl^Arv;KtTT(-*i86fZ zM?r)SSP$M24pL6Z@g`Y&reM>tNx>i9l$%2L>!lQg-%KUYa}^r`*%;$#RpWbOs<2)1 zE{59jTF8FBs}yKc^leA8i$v&-6itbe-6}E29kb|I-Nipamp<0?Ta$}ZaJL6hNqNg% zF_bW(OF_bG_&NAOm-`uo$B?^Gcx2+N<40Jc2RR<{Ui>5$3VU=mJPR39o6H+5K(vbZ z<-8ea7A~D$2@JIj4rMvtjYj$}okX+8<(03m$}34(K&LQ@$!NX=Eu&J*^|W4po<9Nm zgm^~l>m~lZ0E}WOwf@$DbS=u257d}rEogR<-b#WH_0Z{EnW2@{7}@Q+Ej^j}nK<2* z^qEDv(WAk+E9ypt`o+|J;!`wT)t8TzUzq|c5iC>ZtxM+c;9P38DxlW>HrLAel5BH3 zQlY1e`L(U2LGQ3Ib9uj{sKCjxCS!1+WTcteiDrWcwZ@A&9E7$M&QG0Mme#~dm~^T~ zX7sWQ9;gD>n|nJRv0U$UaEbGi)V6S?ga}OjcE{PwrLbT7q66U;b7v3Q2^nqQtP!;zYZ|+M z+qaz1^5y?S@Y`w-f^VL4add>24n7H_j})kTl}}~HGbw*SD#O+_00z_M5K2Ayzf6Ek z_~dgGs&-fr4e6=j>^uypJTZdvBi~ZyWYC?Y>yG4{gM5@Q5wj(i39jtASxthxL64RB zzDMEY&6*5py&2xn0`1uFeu6+qBv#4as^j%8(QEGf9R<`|=}MW-(i{kg(&de$WxU=n z+VdrXb4dk{N_}%`oQ43xHT6{JH9dsWI55fdH=wS4V1W#7jo9#x)h#_L9lhp}sDlmy z3Wcz(Bt_!TdDRTczi?slbIE>V#_mY?Fo`=_H|mNdiN5RdP^h;d?Ox(n)G@TAn-`=Z zLFXE9JEkSGlA~K=Q`GcZ(tdkx5F1+wo{PD z68-_c*vKeMqZGdO!y1?3y0VH&E@TLeNrS4F$)6}v8U*6cr%jRBfn7fUQcFo?cbiHz zQO;xZuMfqp-M3X6VHy&GdaU6AgoNETDk{hgyDz*_)f#BIjUm3HmDarfQlZt5#nN9Y@*?KCg;v;oHupYS( zzFduibTFdtjS7Tvu0BRa0*X&G1C-=WIXF47Cp$Ibhd=bo^}Ex!?TsAkj^h%PI1Op0 zRaMU(!l`3y7s3YBkPY_gGQo*R;n1;KuFHleHSA-)8!>A~;v3WtR^k1UIhz?ntA@6U z4aX|zB*z3s4;lq;sl!W*w6osL{aVlM#(T@-@J?xvF!mI-Y8aSCy@ zBfpWe#Vl!vYZG9BD5YVH^&7+7xHKY0S&u2Za%Dr3+kbUC@-{>MOgT=J6{@SNn~{-G zV~b~Bcnr2qzF9lys_r`M{n_rq{gaf}xa zrqG|^hP}5d{@SEp-Tvp=izoF7wVg`dZ*0YaThcXXePNDFVLR@?#1g0(TVi{o9R-CEtUq-w-LY|Wa!H1SO`p3`6T+}=% zx2{QqcfT;QwPcHf=q?M2xolt!W0f;Pl7y{b>ES+}R<_3JY6J$p_$6kOn86K`a zrke%8-t_yjvU--#-(r$4eSd$jlT<)~KbW-4$*f7cavm0a#-2TKb3^Z$C4};5Gs?!r zB}M8q-m{}XJ#0NVsU>jP-U%%8;LA}f3xHq zsz~SINk-&+ohX6|CQ`j`k^0pAsK%ji6nyv1PsM3aa1U5-{-Gc4n-cdp-4Iz@A~C}b zX=Sp?IVS^AFC>}<2`QcZz7+u zyZ%SLga+px=zzMO2A>76830ZVL-c^MD^%4@;;CxLC(f0XB*|ioO_lYY z=!ny_(Osfw0R3+~dnDDa41wB**mJ?-3>Pg|df8w{b3Z>n-t*KM8zU8J-2JkX8F5BKf$MXMl_O?4i#oLb zhPA2V?xkqIKls}xj9*&PE{G8%YQkgPO;385N@23I^O0r>5%GIj5kL{s zv((%6jXx{m)gB`tmRe%R0!`}rQzFk1>i>ZO6M)t0cKisdxndji{5 z(*B|~_3V67L43EXftP{Wg$Q7AJ+tT(T`&2@d>g4^TI3HRc2f3YJ=5853yKlFMtZj8fAF813Da|sBU} ztUY=)N=`DwhW>{kL$e4?2C~|?7$xO{TA4npg)}XF52j!Aci@{KAZh6TvlGpfTEF%xkA+A za&vPd0$esDy$(hVjOJ=hTOS%pc7N82eSTC+q1A~E{;8JbO^GH}C@6M!=7Mwg4y95U%;(^tTKB_Npc8E*_sle zAK&T1N+}DG29dR@5lAveQ8!y2zkiYmviUbQ^1&fABgG?Z=)C5s6c`iVjaWcoAaD{0 zw58Ht`G?)}?^~7ss7cOLMf!xE90%|&Pd>{XTo!;Ya{xma-L$cblVJ9&bopr_9v)t2F+m^$CGY2##hh)0nCqr*k%9~hMP!`GM1P~0D{Wf;SSa?d zspX0{Y%6}#n>Ar`YyKVb!Fa6R8x)?PsV{(VxhgwsFJIiPR;%P{z!qI9K`uJjA2WPq z#=&t*Ypx~yoXbVqO~A7S`HOoC8~aSBjbvk8?t{_}yyb0|LPIB8t(dj2#?n4aSZH_0#;w$;>a z07imf93WGKT~(ZZJQa(6M ziGX)t`Qwh!C}#KNc~!ACLy7$i+&|^&Od+Xfaw^}#4bCISQiEKDkQmfi^$Ly3mP1_h zOercvuFvC|pIX$I^c0OZTeC#65RMY@+mIXG@baG_&erggXhOWPULXr z+keX)?FMF!I5!FZx5$i9<$r(!wBt4EMVyL#@L>E+*bC~->)rWQS=oOXu38IPP#BL( zpBg!LlZYFT&7{5j182UkkuhfjlBxDOS8ubM9#qPQ5(C2P_n#```@o}viL@$5SN9#hHLzbU)+XypBKy zt^?|r)K#y8VHVtERnYP&i+1hGI063ApAcV%@f}YMs4Hk{qS(#ud*CcGXGZE!Y^BU{ zl8e)&4MP*(a?wyj72vzeETq-mThxOi_2|kak*tYX}RT|Y};B?AKj*8m58;;A>G=WkA~j(DW@TZ~KhK-9pQtjam`^Av0i?Q!>_x9ago+1G|Dq6! zQRC~?gy#7Os*`o9g~)@`mR!D&qX*lz`(2WFy#xI<`b~dXll@ZWjq675*_X%$LUDm4 zj{x4inx&H`NXOeh5I1iMSl~F#wB%5}^rdNxoMgzwq+Ok;;z^+F; zs>@zmcN6R}{YBpe!2}J-Ee4x)G?wId-fu5=py#?{k+vEEKX19f0fev1Hb^ncKa&@^ zprCpBObT{O}@C_K2X9IEeXRA9$WgBa-T`Sv+M(><(9 zMW$)S*QOkZdZLh^7|yBr6JCOt)j1D;a-&0j8`d|N)sG(7wDM2P*if8^cpnhtcdD5H z4I(ab*lQi*B|83r{Z|LN5k6oO3FM?;4}hAs)!`jU%Bwl?ub(dMV;$ zw-2GyuNJCZ=A$Y>H*~7-hgl3|ilg+D4WTt>8x9_?WC||8kqoq$(G)kr;W;96D5q_2Z8PygzgyKR?=c zmUq7^bjI(}r@4NSU?Cvx$K3zs1CcP%R1aL)^ZI*3Pu9d__wq!l0z)|96MXhz7LzvE zg;n`F$92=#o@$`J7ko_uUbelQRlDZCNQ^Id3~5m;$UwS6xBbwdB8e#_3Vq2m_E@(wmHm<9$5lH*$Uw>o^!@yE!cu(0M_^q;gXN>2E zkV67Ag6fL`Ub2OUCofA;kF%=kzt3jG9?h7f!NqI7slGbIz9)D=d+cN^?88+SFKt~6a%#M`xslLfcBD< zO;qm^4B?KKi_CN>o*XrHCf)?~if@`6;qkZ8{I3>c2Sx!mDjnLF#JI2;D(ld^70vJW zNiP>QLL!687*eKPvpCKjr4JP!^|61qx31ckmV6Cke@U{uIU3Vgv2Qwg4EV?pm~KuQ zQtQ!-e?T%HZC&{u(Ok(MetxC^W^wAY=)YIS4k}=Yhx&ZKw3Pa31Q4YFm$>BNvT`EQ z{KMg)d6IF6QN-F7aC=oA6CcV)MMV+Lpsnz5vZHR1f{t5&OS9anr@8XNPb-ibXHDpd z6cy^>llsSeH!vd2=`Qa&9}g*dQ^TWN#sFGcwBHu}V?$@0>nESiw_=J`OrC{f>~;j# zEP$GW8p%DxC;9#X@a8KBz0C5J9zWjS=K(P=KoP|@Si>aw=XY~OTM>JI0YLkYv{}jq zW%xG>Q2abl`fD{&%0k|M@Bzyc5FOsbpftg_)SJkGb}Z_y*DpPK(jVd-xC99fvU77K z@}?~6But=iG5p|gBCW(cg-PSb^XGMB1yxKqEstG|cULT1wWfsFH9x8yyU{#J-;CA4 zi3Xqw2S}#|d-E?~H)8(q#k*K@-l&Rrj4)qEa4sYHCX`&r`gv_DG@r+{^khPPhh9A~gRj?MiV0Zs+l|?O z=QjyR*fHS!yYzwT@3@&?NC<;n7_fh^!F{bCKR=bA@M&p;ZAS}hC-Y`+;uzWN9N-(N z{xVXnzaEd1bq0Z?KVZ79y>D0Un;~Si8*2z;{S;_EDuf+_dr=R34u?su!*%eZGYzyHuO(VVj{3 z=X~mrhAV*_$hirqw1+fHSj`#fie-OUzE332MK(`-pBMLnbASHt3-ct79|Wv$=KW%7 zP5=k$qj-4$#=xVvb??$oCp)`b-4Rf4W`-nMTDne==Ob=N*1Sp3`G$#;qvPxzRe5y` z?M3e)+U+Kt&Z<{ zn5{Do#4G!!^XLduxjM-w7XV18Yxn_P*Tdb`yTKV(AX!e=2Gwc*>cQxf9Sg@5KI9MD z_*TXffJ5UMsqT1t>VTNyQQ#Kb!)M|zmF~Lgs(u)UHk&Xu0elnyNZ=3C2=Mf1RZ{lQ z+*Bvi(4>imNcpsOli(!(T9kUdexXFSG zbUQ>_&~#b@J8l&%K7=mERzQK5m)EC#r&$YwYrN@F^XQemD)sFcSW(nR#m#omuVc6Q zC$I19J&yyrw^e9A=+IQTq8UfanM8b$J0$kx2QYl<`a&GpdIzjn!5|7UvfK!as1ijy zK*_3C*B^dYz0j&>Sa~@P#0LO=!NM7H&;oF@*WF$8A_jg?5~fVDA;BhG#|j383}AbD zGe4v&A-x5r!i9C^aF0|28kV0f)g>jx@Ig?2w91o40v(q06+K>VY)VRA4;9|L_}d0Q zsV5yr3waruxT3@2{o7VyLI;|C>%KqE_Imv7fWF00X3pSl+}afKDAIFEC8j2B87%7Y z;|m3_0dWXYb{69q$oVl_&BXC>G{%ZXukuA-QAPFCQ#Z+Sg=ulQoQxETEy03Zf>l;2 zCVi@u=3pe8x|FA>v-R%6BJvsqMBgF9T6*_1Fv8=nWWiC3mT_K7FyJZu`Pw-EzB%dH zZ9c=sywx_*_Kal;M;$}LF(0>GTLVIy=A~B9F2Q-oUDaA0gAy^`f=UM6kvIQtoZtOg z*(_*xe(?)+>CR;4pn{ES zO>HB+2X?AZig*~`if3ZO{4(G(!pvVPYZ@$FK?_qx?P{4IL`F}W=8iR!^;)!351>?2 z0-1gialP0b!f_)#Qf4s{ud-x3b-I3Zw6)#z$KsHyZMt%UY+(p{h|>KuPF0y_{7Rkg zF!lqQ95*K)-p}V=L{%?~;JU4cuhGGpzfFS)-xw(sE|r!Q&o|=0v?~vntpVKfd_4oy z3D+|`tGUh@lM1AUT3=fv+-Rc(>5zx7BAIV&If>B`SVnaIhEW$O2a_|Tq&g(~P|9M6 zYQghD1w7zWAYCpS!Cy`!TrbTF%~+(jVPzLR{e@0O>ZTbi{$O8$jPY86DJ*?wbKG-K zNmd!XsEi%qM(i%4TWgOW; z4?~j10sSmBb;M(N+SA~muqZK+Y;k{0oru<)B`uClfjco( zIiHYL8+6cGS~_-@{wq)++M{BRQzn^9wdRY-(EB8zBDj)YEkad|cY3>+FG-NOz_O?Uc<+~aYfajLp@!QNt)S7J6Ei?7)qh53_Y7MB|H)T$ni9sg;CKmL)zmxRV^fxf)deq3 z(nRCKVeqNv-&K7!{j&aZWYZwNBqcVV?TyiNW4X@xiWH1(Nsk&Z_;@U9N&zCNfkXD| zd)1lC&k~H=jn(U4G+fN{(j^>figR_W?Bkc(zmA(@7_<7VcSJ)FQHs8W2=%vz;nP;8 z8n=3HI@;LDF~_A+*#Vbgla3n%81)pObC5(zD8aiaY9{@3c!U5cZY3q%;|lv9Eaj2r z=C3qmbD2hFkr6w9gvPQ8%R!P(R5QBmgHlNme%DS&))&`lz&xjdK=DR`(~;av<#KJF z?ceOUwd}KJKa`sxOG~PGkCX%S#U3d~xxdzgCDkg~)rqeC_P~y>_t9^Sb(x@j7l5{x z^pkh$?udsm>ZrN03HSQB1ZBm{X5&Wr3{Xm~<(Of0*In;K3!O1y)IciqHg3NyMa5VK zU0f19&h+lWN**b$#iHS)<-2+6D1SZgviYp)f5BjRrt`=41=tx4+k4vC`RcVcRF|oj z9^K!c-{0HvlENjDY&fCSFCcRXl3JY7Cm%F>^f)5CJJRorXGh%WCt)4QbYOAt-vVqP zXp(tf8ZpHx+^;!{Ep37vq1j&9Aw*XQGi7ac27|+L^^=yu7k|M}NZzM%4Nn$^Y4)P5keoYc?IM7rq zwXz_v(u*6s^s*6r2}?;=n*AZ@BIfuT=?vkJHe;BN0_IfK=L|}Oq1c&MnP!GRp||p% ztkaQSj^iHi;78u~msFHyNZkb{jCm{eawK)>|IuIqPz%L{Fg@Cp03a&l=X4-_453a| zcWK(dkhxEM466rzif)zQNP57vL>(9eY$dz-?q2RT`1VIvfqE4{oTb0K4B0n%o$Ct$ z3|nA&g!9k^ptw$=C3e(^^3(%=cHH-|p0V#A@jkP&z_7t&SBkEoqby@w_B_yd2*FrF0ndVDy+lWX{pY1 z4*b`u1yM(i0}qN8&p}DaL9c_0OL2M`%g_d zzZaTAwVJ^gZ_3*FjS>H=LRlWk{YC5hC7!GAHX9*Hw1lfJFK|G|Ny}_X>%98 z{bk-w;cf6`F@Li5_LMI8q}z~WUJgw##eEsYkjMo{2S;mEiD1! zVVj&dzSp-y-PiJzx3lGKbE^Y`egBJcdZeyc-C(?gtCF2vPrD@nx{f z>TdvcG@p0kY~@-AQCRPwm@&wNbmd5(DB?V;>-!8Zj^manz+~$RMtO^Opg+X8~n{2 zxoib?5}H{HRQ8sg>`BJfZ7h}$OGulm7I3${}4LmqN=_nvwy|c0aL=V*wxc8 z7Kap}>8l}Xrr?+{9yis5Q~C6gGUH|)L{|Ak*)Dzs0~Y_Q^bzV*VVuJ9HZ)1e(xA?B zfxpf>g`yMTjZ?A1s%<*)Np{xDl5vE(Pt$GeTlZ5)N^)2TD0~|freTwQHj%vgLz=JP zj-1~_W?U4(-)z zM+TKY3hd>TK@X*(84yIIp{3X#)G13RiPYSLZ^GK7zTB$tMW=^L$FFlpPa`|MwE7n8 zJE4kTxNCRh15eNQo`Gt3TG}|cmpu%ylTU%X_x@?%$;VPlIQke7p+@Agt zlf53fA#cS$m6u6SNYy$ZGRWKm%-%WxWALfDgw#k#&zNQ8YBiN(AJBinRt@=5WeN+g zFRYt}-P0%@v>g)OqM98WNxg$b86cx|msuD^vTD>pp$b##A6Myx_%FzjVb4Ee&@vEy z9!T4#qixhXMasi!h%#Q8q0{8Bu<|xI0lT}qhxbtn>>s)%;m|S`wou>7_NsIul+1i- zEpOJ{O$)~ReZRXK6VSVB_{>l;fE|^3dz&aQKUd-v=JZ!hn!~`qGppV^)64wLeMZnj zd3J93+RKs7uuQA)scJtpq*5RKvrP)9iB2X~WYg2YL)+94?+ZoFG&R!P7C{8!|xNNYR z$+^Nlb;QpuutCm8UC%10ojy$Qq2MG~i80I<1v+z+QGcyWYsw(mX94*o&oBX8*=rQm zMy=!bBy|%gG&irQ`B{AuFVFri6oh>IuEI`&K>t~eg4Bb7b!q;q`$DDq?Kw~wa1cii zm{W!wOq|}_E$$WH(CRP46bOg(K5m9D_<+^y{uh-+nn3Xc|i9PGwFzsi1Fg+USG z<6{`X)~@g0L@=2%YtK>3(RY5+V3sajl?E)>%#{~ybaZqhd-iOE!003h$}h|73%M!a zRO(w_Cr21up6sBmL0p}@i*3!OWR*trksLe$aOgj|%S-IPkaykh9#?uR(EJLYY^_Y1C=1hwz_u7T8bNPG9YaI5$>nT3mc&REP3ZcKu?k$5-X+%3p;AM?NS6%Es729h$a0bR>O;ki>|mw>j?{ zAlb4Mh_9S?e{=7+bN9I2cwO-xiSBa?I2RS-A(&3h4b+KVch}j`yvN=oMj&W3$*EWC zx{ZmZL<(*bMPO(SK7sVhx_*i*dJ$ZH1;Qh z-AQO`&qG5<2K?yIw)!C4KBG@tPNVv+5#dES*#sw6Io=0PAgMc8gu+^OsBeEHhp(Oi ze7(Pjl4^kice)%EY{bA$PY=S*1;C3b<10(Yfs!eEyTPMXHskr=MsK)pP_~oZ+QI4D z+1r_;pQU2F2VCF#mLt`z6-U45N1ym>s99saE;0d29?j0xem2^M5tk4EU8+b~c(^?l zD`oTPp!{5b83)v2LO)&cB56?S)_4hX+&sdX+8k_|S5T|0My-(v5 zzZ`y&^rbi2pPIt@R9Ju$BroY!QyPeWt$dgTfBH=cSF!pUthlYbuE%RNw~|-ut*Zy$ zxK!#~OS1xqKLaxyfZ`+eF6+F?(h}Az#Ov!UqSW)`nS*Kc;zT9R^Waq^Rc9KP%!Ec+V8!D?U(oE6m23bF zX`{TX+K4jQ=fOblqZF*t@*G-}Q;r=tjzcg$Y%5`55GLq$9rBr69yW)gzY-Xg#`5Fe zbYdzw+!ba-Ro-@GRF|e$%)6hvO;qOe8OAb3yOXaLju-#deqHVeKEBgU*4?e%sMeK@`lCFaQ0jP{ee5JgZTh=w{?YLa64&3(W1HbmP8Bvl`RI zKp%{liR=}U2zZh*r&!&;uSj)3zaxSf49AKE7UNJq4Kizh{JF?fGIBxQFJBzT$0zjA z;2(;zy#xtSZ4>f$S7{?>ll0nVUi9L%^s7=`ZBTba6Hrwf9MCPMwrn+$_WDZ%KVok2 zjQIPPO~p0@rC^z;;O#=2`?heRDTushopF*zW9DB&)JpY{dHrn;!9|p)oBEl_)0AWO z*II63^SW$PHxA_+ROs?Ys=?>xNU?uvSX2JVs@LfjP7pudf*^nUwzD@Z9Gg6RfR%JkfRM#gyi z#p^j`VbVsx{TB7PnrURn2xd_(2-*h*0qWp%u<3V?vH>L-ud$HhN$GLge2i9TX!(PO zVDO-whX-)J`}#_mMik`90Wi?vHE{lb50|ZGAX><2{N*A04F#A2^p7`n=`Z%2$Z5PQ z{2-=y8c)VxNV&^ZgMdLEkO+85M|9G8lY2BcvUwEZHx;9nhryb-;(H~{t8f8isPM-( zj1J@J6Ib1%J8ZcXmiyeHfEc%xN9?Uv$p@v0rff!I+u~30;6&O?UY*Z7u8wb?0?c4q zxOaka1GYjs5rXw8zUWj*n5mg|5oW?TJt{eeP(uIOi=~4Sl6!e=$*Dm%oH(A|3b#0L z)#0I!pFvtz`fPLZ9ti9h2SO|bq*{%v4jsF30a962&LIFTU4H@?^7BZaz3A8GT71|E zTkl2_&3!Ak6wW_89_q7&$YxPD)z2V z=^g{SZLF|c8Cu@ml~Sw6e#1i3OHcYe!pCGd z|G}GHUV47f7tS0mEdkq_koYj#!MsQBkNf~YcrEHFrWh$)?mQwqiSUd~3b&JVRfsXj zi7UBj6fj+*0|pIIZXergv3EjsJL3!*T_nnz+lhGfUVgf@FfUOMD`?xsza9V)5$U^1 zWV?*xG?eWTUi__T2d}3j(r2WOw7Vtud0%(x^E7<ip%ENj-IU{KzTHN2rTPJ#| zgtPY7pWWJ6!l*}9-Rk;L%Sx8{7UQ^b*sSNls<^N!5j=y~P9`k8$RuBoe^p8u`y422 zaH`3M|NeqW{MQlY*t5;n@YUMHEu~+Nf$=umsKxAoH`EShtY*Dj+ndC1BKTme;=!GBy1Qh*mbMxAe-L4Max_;#DA#UQg?LHL9 z%f*G=LY9O@WL_t_>{g>p#LV<#-5vvEU7|abe52jtI5R=d8T9d{L#qhi{bzdN*+J4j zS(0_k*Q;pN!O@V*DPZ6jw59 zmsRc|(*ZqA2<+E;FCh;zDDj09J)An2?9`&pkp) zLvr1HWp+89;gi$2$hxQ#A8N&g#)Nj(9uVB5s{0dlwD{HZgE5kxEQf;>#!thr_-ztw zP4|F98u~(llJ9d*SmvtbALO158Z{26Nx9N}H1>|JMbB^w^wPenaxpl{JpiQ2g%?X5 zZ}AY011_lJ(8Ihms>*KaSogf4M!lvjvFv#c^Ka&V!Yn<_wc3yWCf?+ix6MnWMV+`8 z)v`nEr|K#$$ku#-g9%CfrPBT$jR4B(1@QZ6$>LodmQc3O?%V)#0N|_RsilLX=D`CU z?N^|`%E=~gy!f!emvF@V9Q8_F@v+G@(%BEptz8+XHUZ6!i_0rv<{t4thQ}_l#w=70 zTpmi%UTQ16vBwNxCI6hr&KqK(OVq`rFNUIAP*Q^FMe?)9ShHPY6xjAEDCo)3J{irK z)OUEN7(ZNGh_>?|g_+sfLAQ~m<$Bi1y}}jz%UjjjvmxoqGjV_15qkZh%V9wJdcD4b zKAx=KzSkxR!?eHZ)>deN@4emln;uYZo$CA*)sRiqT4xgNXNR;o^q)-8nq1%G(2$}z z7Vlc1CP*WiTQO|LH>AYdUOpoyB1|`Y4kg&#Ta7^HHi2IXZHM+ql1Ow)WEebsPZ32V zH?FJo&Y$O||D&-#)2@MjCBC?wiwj}k$Ik5F;9!0JalT&JnJ*mo1X#WT+} z(cYt$8N=fyHNYUo`HPb1|k@Jk*G``O;(rtAvBZ|4|qotH{1;>YXn zD+8rfJ=)G_-e+Z`WT0!}2o-NidUIGVUpV)zEj%4*zV;CSzwe7#dp-jQ#6~`{3a>+b z`n>)&BlI#e&l;(s()tIkZ?(;q-4*Vym`A8AX?@4IQ=WJ&0>tZp@$g>^V$ zu#%|UL~(33(wRqiJn5)^qDeR0&G*SndY6xXL)p<`AL}i{e`D0jS29$2$-S|RvD`2i z&oA$8g3i)n!XLE{(W@GEk$ife*1y_3Gqn2XvdpmpNm|HE1##UWdQEjO4ZU+IK<$63 z+x6d(|Gscz-{dIQ5YJP$?YJS;A<#TiX&SnmwEkdgRe;!`r7=scN2xYJ`b5wcjxW7LSL-YqFHJ5Ug{jn@#K?K2PY%jiQj)em)tpYF71w-Qr2xqjb7CC!=+Icmd>q~x^W zR*T80j^<7jg4bcg1ZUFD#bIx*JG&NQceOv?#w!SZGj9DTMD>^yGX3c=`vsTbsdDwW zKHqWgmY^l@I?aJHGa!8s?laod+W$wpCBu!ml#1-6vIhCZfj9gpnm?*zwhAgN7tvu1 zP9Ts4Dg`#qC1Ova{2LlZEXSWpM*|Jl50Km)EsRvoE0{(O+7`JsO)iY2BY#A8d%?yk`961c62X8_N^v7joX^Q2-g1$qod7(m4FsQV1c4c;c;_hwk(2J&_zMncmj? z(9m_DU>UWE;dKtH`^Ne<^45L)cIy4Kk>QYnbZvSy#0Ohy%!|PB1YGtz%@w)24*)A_ z>2LA3Wt+z$6r$Lfq>Tu{hu!%2cpM`!iC4@R3E}AmwtfTEI#oJ(JA0k-P(#&0|Wpb=7d3WLrI`t+Rj=hfEnO*uhU7IyAES>Hh zTIHq4)3l`U797GXqH>IW++CidIxT-C!d|~kRVsZu&a&6U_Wab1cG!Aj_yTY;_OfDc zYd*lE!W|seQ-IwqS;3*ETHh8F4$li9%U-45ipGv7?VDOz;8hKsl3BWTq^Z9-KPgcU0pA@40ml^3cR8otaMh|8W9fcY7X)UyU{?$N2g-$&YWED=gu3 zIASlqT|H!2NY$}ZTG0r2`y7{}6KNBK1Hm0ZWZa^0J1K!pFlJ$y#zdS6vL@E|#?)-Um}&APG-JzfxDHzUIiTh67Atv7+;n~g;tnEZPWfD)naNq*-uG8gb9SlmXn3J46DMmVkQ zakqBm!x2_~ww_Rv$`_`4c+*`=c?yWNC<;(3PQZcn9YRTAn9KfN^lADgZH#xyV#eda^x_r&9;BNJ{UzhvGG6Zwp+w z4|S;igG_`Dab8cxgZT*e&q|EHZDLiuicNv@FV9iGg3jYX5Egg{s&$5oqPb){>#9)8 zW&fYLi>Ny+Q@#iolaDvi@07(=M9%7Vpbm)vx&RE!N9{$OMf24YU~&JGTf1Bh_^A^M zg3*eDWOF(6*@9@LmUq9rU+~Jv=AXeJQQRs@Y_kK={Z*GQX%qW97v#UX8uf#A)BaMk zq$C?@N>CVj)wT7jEGY>wOn>J+?mh1h?)jjbLX;1)2_k-`e8mt)L?pCT^fg`vP|3+v zZ)5IPT`>{sztU-4ZR9*Q0&l?W;%`UUz*Z+&qV8}g2*(oND{W{>=w|^v(rUeMk4@rq zMSr%%s_|GVe&T!cV7&&kjO?V zWftR#LXNitj8uQFjpB!Ma~tl@S|GTgZV+G8bBPn$djfupnBj}!?9SLba9+pp?RMJS z<;BjxtfZj#s|PUOqs6&p!&!BKU{%DvLhZI=CD^E@it#gUlf>7+*eaXZ>2rn08Ebxe z#HU8e50^q*KoC!@PZi>8fSpL&etydL3olX5k&Hy7m9|gY7 z?-lV`oJ}B&jT8nw6{UIi7d>HAd>6LX7L9dQMn-<+-^!PTRjLQ3WuMP)J8$^*ncqp=*Z>D8dHocpj ze*<)Ifq}}~zzjDaLxu*S`wUmt77*HUn38lAe!MbIhG*s%U$|t%Yq(APYj`A0?yP6N z4{OVVXc@bF_X{uL# z#Ni!uZ@#B{HvMDm{A;ZbjcRg&;9T8$!=ZpYhXC|u2k?mgtMxxewrG7+*W^r;$rEb$ zX|zyuj?j)7zUO3&0!yy>$n;n@E?*vAW(zN7a`iqHy@|Hk_>Wh4YSx^9XhO zGitxHs`h`AX*bpVyRbRLNTfB+Bs#tacO~L8^X;z!;7LNi_Yzuvxc@fOr0DGIs>_)j zK(zk>3BD#sP;!u>XeiHM@@?|7_lZE?+|?D<(;$1nB*4y9!iQDa3c_|l9eIDL(_sNR zGIVtGOJUvX-z7I)atF04I5l}Z;=@>TL%mqgThO1LHVI5TfDGD0B; z{#~7X=oNqhou1py{J8m6^KUL%Gh@ZW*eKtx^me&C+4o&Y6y;=EjlW5RkrltM>=mOq zyE)95Da~6o^M4!b4< z3T+Hw(>RBobgdi9idHkY+LGT(r-Nss4?KGt+YVF16SaK#y}l*S`o<&w`OJ&w;QSoW zHj2CA({xL7bL<0A(XtJ%uLG6h6luZ=rRl)bFjcm3##j@cP7CFU))yS`!{f>^i=g}x z3Uo(besQs9pK4509nC(EGmwc5GyG2rYRgNA3cLq_9Z?#xpO%yYxF$*iptx&-l@@H%J+7LI`jDkSJMD$}dCIM!)>_6-!J+hQ9`nQ2f3Q557REIhgnQFa%&@ z#iNP$GFKdf$`u6@*?&Fpn!}(MwpSE{lig_gdL zqoYWM${tJaLaC{85%}t)yB|w$RpGR0Y{anzlj!IY{LIo#Lv^O+T3f!B>vbue%i;7o z+AQ=%$(fM+Irg{yYV)1jU*gMLizJNhGJL#JxOIJ$ilZJZ=;ZVi4IUQCTGi$Eu~jKl zUO9N&oR-ux*c@;4{>EFkxE0+1I1hKeV=-UEk;Xi)Nya zx>*E-4u^jc`pilCYUV~`6cXII(@IW(6N)wUF%+FAXXrq%Xw(Tm#ozL#4z#4Lt%_dF z$8sSs;jv=5H)hzSR>YIaR^D5$_|{j=4PvnYsF8E_O=U2ewsa0QQg@IHQCexsC@Hbq zziyjetf$W3T5xWYmDpGFkTnCB~h11hfFLHYIm zf%UII>I!f+56}+yIFUZWVrluj_8yz7>Ta{qZ+xHAVzz4mO-`_%(M^6y=$cevhr<*m z_ww8DO9cp|z}SD+72Oj9oduJ5nBQmF+TD{UpP0!wW^|}i?{J|@nHH6^kOKE-=^U~F zPj!r&pP|p4SDh9WDS}_sZWAEw@C4z)qOes^ArHSlm&+6o>3Cha0Uu@`jz+V5AO5Q1 zZpQ98b3l(*!<><=GxF<2KBoIx?N0@bcsjikiu({3-W#df>miPe=e!RyqB~`)x+cb( zsw*qm5;@;_b6ZyvXR2&YS}q!Pdz;=u`Y@Dv`U5kguEj!~m-=H8OCeM@`o@O(i(c-; zKa4!!olUoC*Q{J1et^A%B9bgctVQ!icoN1>t89O?@b>PgusjjU5dV^@#MPDli}~Y8 zn(t>Ap!E7Iy!n{3XOBeUm~o=*_nH{nFrP%-O161i^x!d$czghavSiR%uADO28Hsx*h94|s}MV5Q-?0hJuzY>c}%A2S$(or5(t!Aox6 z;}Lfb|N4`W6(hH$s(^AcMcA7C^u=_RtU5a#EL#6Gi&goCQR4%pJjms;lVhL!c4}^@ z{FjXSw@h&**EZ2`*7fM;!OAjk_igkyc+Gth^ z5TF$Tq>_;moF2xRQ+-j^c)(|JCkv8HY7R5==vKwutCv+*4|&>Zy}NqQsiUMX!>9Zc zeJzJj7;=p_TOm#=u0Yp(nE<-WC#*`^AO~woymV1K`v%%PA1Zhcqu)_o(!Rod-d&f> zLQb?Y3eEjnQ*z?#Ly*cYEFg-L(_CR%Lp0M)y@mC_@4g<|787W0>*y#pLP1b1cp)?M zkmmpqdL4Lk>B(A)iXpo?oBqczU#RR256|K{)qJ~FcuVlXfCmZlVWP0(0JkO|U#ff& z@ADRJA0JeWFo4zD{e8Z*IGje=0zH#HcC19N;dfG=ys>~S86K#N6mV(#k#vg;FW^sM z%Io}B9k?6l`}>{fa=xCYDYorQU>L;0b}5&~gx63uHbM2Be-d#exE4uij5beGM)zxT z{6mg)wk$16hVs<45?HldZ=readho|oz6Eno0|hCmhJz7N*w|=05Og~K*ztTR^I|LC zI$KD(5Rs=p22M+gsK~?1?{T)XGl(cv#ki5y$Z?Bfr1MsM zMM@LM(aFiF{IVeufbWpyNLlrG0zt;)WMl<+WeUlf^;w za!sE^WNV{$(C-ZU&0zmrQ8m)R+!xnMh`=e1WGn_Z4>w zAisV`(0sWY?zgAll{UeYxN1-tjk9?vv4B>-ie={=U*bR5q+`2{=(z7;PR!= zbumeO~6b?)8-8z0I!3kgt%tx`$P=xq%K)`0GB z_}TZx4Jh-OMlf%LE>-G#O`IhgV$7Bd$Ljueo0Dkp2JnZt0)iXC>?=CM?an727^qL) z+78!B)7U9}L^22Q)-be~%z?QTJqv#jUakbE$_etKfUFm|AuP2Xi@pxVt=0THn~&y2 zN~nLL)>6DB=)C5k=T)7$FJc9we7Xf)B7-}t{VSFq8RFnVT4x}2-0VP=@HqtN`B{=9y0_l+!}Gs#G2dFnJD*MSWg(;6VTU20MPAo%p^qL*%k4$VtKlceA}hwV{_r&WC_ zw($EL)9!-hdT1|4Z6rWMcN*2;n?;q@*VR>T3B6W+C7v zG<*J0nu;#CLPY^EbYiwmMQ9Bf(@{5FE1wyEKM7^4nh&R~lNF2fA)PR$U?_gnH|cIc z4VE8OAv@LjDSE67+3S7D_UH{GVzW1A79E>y0*=w)0=KReRmVXn$dcT{wSTDJ1PW)br)r6s< zX=gJB;v#;PrFW?@L!@?(?s2sFjTQJ?F9fYBAshdbwo0(C55a(7&U!GFb}vyA)_pCyJsjkei|O5qr_uIJwu=6{!7PfE7FiE6 zhH#A-gNrsgQol664BE~EWo~NOo~gbT(mf}9 z04r>}RwepV#yhq!%0T*b?+IhkK;3IV4dMnR^I(?L$n()(c(sL1P#_Iy8e3m-=1Gw`2H}K))Ale!MZemyI|de zB%h^LfFd8|i@{VW=IQD~L^By-$2>-0GFYI9hK7va2RZfm+6U`>VafMNBTQy!;DsNM z@*Pd?Cy51i7YC~DKJO&$%mnQFM)!wEgPu$xe_+SghnzG0`B)RGtGgLc`j*1R5Tv~m zM}9ujVrbb~(1S~PwSde$dFxEo%v6KcK#-C+?(9uCO`&tG-8Ongf#TDWYOB$z-qZK` z%NTUE=ClQ(lDYk&fBQCHf1_1nuYMxbX5E@5{dL>Ti->bJMDO%$Z-)gAp2g{iA3qT9la()#Y^48Ac+oKmmQIf&DbCl5^7#qDHh5SB|8~ zSK=a0vQkDwBu%RZp~%!+bs89hsPnz3DgCT~)K*@ll=tZRUdN>(>e~-j#Lr*f%_0p=2a|NkLn<|nDP*1ipE#4lJvtbh{$Cy*_tXOZAG z-29s=mT?ygepSt4NABtKFRAe2ab(`DCG_nh29eCtKcn*VAdJp4rsjs!gy5kVD?Km7 z=rHlfqLTyo^^YPr$XUfbYn`Z0NLhD7>Y;t#ua6$@yX{;mou@8$nTXc$%~pK`=81k% zo+L@dIv)e^gCGrxhdv|Hw|@{hT_vtRcI>-#rP9a_)cMOX4EgJ-l7@a z4IOGEIOr{H{~DgqvukR}%bAaVYjDrrwBYiStK0zEL^F@s+4a(}ZM|WJO%j!OpS=|n z;9#UZ`d27%KP`k%>pc9S2<9n@!D?1S`*i8=9Wjx!y}VRhBQvFtljD!j@zawJ%wQN>>*g#fVScZO&`{O&0~M>O3|%k__s!lT^1^}MFC zkwn3Ef(fAD@DMyfPDHn#X7L!r-B+Ufq=Oc4Are+9wR-F((?0KmIY>vS@1Y7@<%Awe z?-)TkMna*;ix)$6`#50N-gy~z+Z>i4q@xS6Tas>vV~V^auXlw0_IY%BQnU|9=e!Wx zExdK04j6+fA^&g}iMk5EPMRrI}xdb!&U$&V%!Tl2Jp12Q{JK>=exSZR_P0_!W|fdCs$lO)sT0m zw1o&76v%6X()k7?0toTDgp$q%6$YgzKKbRA)h^l^u65fiYg3~1S_vW;Qf_<6ClFgr zBds}PIV+*RT!nWoELfOdM=sQc!kZF;XO&mVIV;kCJI_<)XzoN4C)7+$3+wBZXxBU@ z1g<=Y5_aC$mOd^D$j>|m$EOr|NC_m-H*R`XIB@ORGQctZ=##(2^T6I^^DO6(9iGw+ zh)hC0!2P{g3d|~$G>7KZzn?W_y}KLPj7NTb+`MTliOK$e(!Jq|C$JeC^Mv|)iNQO_ zIY6C1?-6y|=?_;g&HXDBo5j!C-rX?MK*1vu<5l99n8amA%ucgfg`yM;OVI}S%Ng3! zT)dxi5llEdIna@RxDvnX5)v@D5BLFKqS4}(*OlB{OF_Xnw%Q^AKJg;{WV_73vhHLbS zH=;9?Yb@axs%E~|J^D*=grZz=esD#i@c>lvTj~sTv=prLo&DF>FYbSKT#n^QfL9p| zw0UV+-b|@+jGZYYQJsK4`tQk=`oll<|7KJDygnH=BAh=%qr(Jm2D9+XePN|fiyy4h zm9gzJmc#I&LpZF4E&GO2y)8~;ik6?UUXMU>(;0XULelAEQ3~D;IkePCa__!gk@6>A zc#{c7gEdgFU@|kzN?&%xONt3XZ$6*`3lWJNF9o(bFu0*M+U`P4hx6JMX zcOzT;Y~fu?>2M#V^{{pPSz$sJ1(A;Bo%BI)zxC^%V>r4uf7mo9mOB9g8j)>_WqVt$ zOkGL*d_)_j6jW_&Le__(+i4hoY)nMx+6!zDn$ee=P|(`aVsXgx=N|E9u9w?zBzWSg z{jmOoHu=Z!Y&M)DnAog75PLY79w$aih_2mQ@bq{CW!>LOKhI)_Sm2WSy{P#|SL{WO z;J$mb897h4s+T>D`By9W;k~kH=T@V|Td3%=DxSy zKiM6NHsFct zflD+tDEFN)ykrphb>sM%(g$&7O0(O<1ZGj#vBpGdjw}b_BskpY1kUwmx;?oRAeQAwX{H=f7Zg zWvRUsC%r~xUBw%d(uIhTe{EN*^q|0w8HPu#vifpkWYuILEGf^tPbGOrX#T7YkXHRW z0x`WZa3o^jrECLzd?0TGX|^ zcPpV)Gn!hJ^b-&bvp*1qFSA7Y>$Iw6!9uH?e>6kC1Jx>Fg)u=uS)SLj=G$lO>WTBl zn}5nfiPGD5?Q(zCh#Ie!+q887N=opWmg~DJ)`Y%&i%DnU&COBsP`hXs_ka(rCg3qHQ>iu79>hfE8h` zGco^VZ9P2Oz==Uq*lp`-Y5AIOO9j-c-9( z@qYcxA{AKP_H}P>@5#wYZ?9A!9X0O`<+ACdO;y3oGbxMy_i&ViBynuPB9YSji8qto z7ktFY#7#np?Y~X9W6RJ9Ck|Pd0*+8zv zd)A9o8w}8fk-czCqUcuT@{K}ciW^C>5;L^EF&Lso3;S%f$lls5{r8_2ME(Uw6N#7* zT40aPRn!(c=7Nlfl?5ErOJl5HKiCh}({=hC!pZueKM+e5u*cAx6YT4@LXZ*o&QK94 zLzP%rj;D}g86ij*<8w@_c~zb{Ec`wqn4c{S{ew>Y8hfy`0K65W3E@}86IEjpr+8Fn zp6@>U{w5wA+0tg&g-fB1$a`E+nqY#x_NJ?Q)A3)gg4Wde!_Uu?$;k`LCbLj@~YKst8Ggi0C zr>8v-a!T=psDkcOU)RU&$gP3k^!Q zL=>`&2LaC)*95=3nEc!@5D(dr~-D`6urhE>kUM5eg3vG_h_VP`@Oz@ z&>*T;So!wPzr00^mF9w&&h~7}mF9DrGD+bCR|EcpZ^b8ml-XTM${F%s<2B8Jlw_a_ zFAw+?x^I>=7b9=_j%-0>W_ukIo%Ye)7MdODlKF{OI+5|ZOq-jKV0>KgV;j%=SA}{H zcsEG`mrNO$6UNZxVyrD=1Kowb+h+6*Yxr&7g4?$~MU2XjlwU-wTU~mgkb?<{ut^0) zcPbaoDI*snNwI>xRiLC$+BKpyzJTb}-G}VWK5uxX+=7FUG=;c5+bpsT9PVOHR0@BY z#gSsEz6r5M4!#XgXnvBlH-Ane5Zk7D=?`g)pYAq!|2)x_hm^)%{1l-MU)Rm#`p1LV zWjf(&aK|>_0QxJyt+%4%o%N@jgtpjbQfmBbvX7%mi(wPEyaag`N=nJQ906G8IPzfA zP;Ne+^(qVtmKD+q{-$e4d`48MZN3R7rvA`p+ zICf=a?TUJ3-LYxi)!Jx+N^reB?hI_d|`RrtgJ z5f~T~JcXg^j0~FK%Vv%~x7Sgku~F449*&cm_cwnm#wX#;omsLqkdt!M~@7fcPTxmmlpN$4D6j_wNv5@-;F6o+Q={) z9(^)x!LXjVu-lKe^<-f4yn|k+Yk&u z@@y*3t#znRr-SF%WgJ%zyP4YbjQgznm#Q;5B5<$aXFS9S*9M~KQfwjP_F*lhrMtVk zxfzu(JX_9S?(=Wx(|;eBAI4i6F`yRePyX~^#ab=q$NmhPQMm5nuHk&)9rH5vv3&~{ zR@;C5s+ zCw|z-W=qFt{FEWJSa}y`jUkU@04|m1WBfDd9Mz{XplTjVF*zIo(8%HJ*g6+2mBj_?i<(i?jcNP&eX06=02CCWZY#B{T!m=)kR$z zmy3&r5SsT?%K3plCL%_F5gu92eQ;jaTB|oS*n-qs;yzevPF5PMUzGQ94mH zS%Q-obKb*mW5S2obNUPEdS)wKar7!{zemFON$<965M-_Os@r|Ta zdb99W7B`tRoF-xvz1n{nQM5VSic6M5Qs6Sy2rsPa-Na2BfTTC+WyT}nz0|eN%ZM{O z=*OEH>3dUNKCX>M!C*LkL@F1y$yto}?hHkv*>Fo_SGO?zuNcKv!SqDfF;`%7CruRyz-<2UWkVL$($XLdDnCZlBdD*N&6H-h31CgIm^Dl{eRwAMX zwfl?a5J{!64EBn~#v7*_?T>!u43Hfb_WJR}$@A~&V46uC{SQ#C=mhp?-)JHBaa<9* zovn+tG5&XYNqHSbmWcFUl-(qOhCJlu zwW{-H%k*B=`Do`?jxVtUG5N&dVdMPa>nrnpH7yU9TI7LAujh&qb4KMYM3A2OU!RtE z9sc_lMf=E`@*JESycvkd5Jo&SmVI2u8Ouc}rR-42A_3ltC z(9t9&CHe3b3mPm6C{~@Wgx&0vIl$-WRJW`K7KF8N8VeKXd@4JiFaK!7uD;hmQ*#+Z z)~Q7}A>6mJ)h7G8s4A@CUs5QHp1`3ORiA=nIJB&III>6w(5%>u|eIaG5xLo{_{-&L}>Qj#c++LGB7ik!c~N z$r$A%^LrV;Z8Dh~pHf#rRTyke9g6yS>5gHmg`r2zIu{~x)TcuK(1hJzfL5~8B=fgf zRKuFPEOk|x_$3F+;7WX;4_4qa_JNXKtW-;MZ6q%RT?RvUtU7DgukU=-U@c18)e^0x zeOcV%;3q1obScwC*Qscn_?4%68u{?{QDyNMpQsOly&OY((=Dm&tzmw%S$=8UD-e^fDFE6@ zqh2DGCMf8Lw9)ZepoqM|HQ_3b%s8cFMjDsd(NH4`$CnaF_*zTpGOjSuEMgw~km!iR z-ZO-ch6oV&;O06P?*(nV*#5A< z=5SP~r(G}Ox+FU5i!PPHpeF-=e;s$q$OdwDc2-$AIy#z-+h8(%v-e^dv{m_dFsWyz z%6e+f365o%T90ZuebI}rQz(c+`hcm>FasR!Ah~XIw%XPAlgLZC-7zDI0M&7vrck+; z)AwF)biu+ep@?I^wQR6pR^gowsi3FAWx8YBX#tvn9Rf$+9xl4j*cs@JjF#M)Q=gqh z(|U6-^DLo=Bvr!N_$%Qtdtclnhz;V5A!2vOl&*lT%){Iz(pSXUfu5Vuf#nx+J@cG zSXzO!k&~a*+#B@wfM15|#ZV%WqDFMz{x4SY$nP1V_43^f?8g)9wJ2ICkRu>$WBdjIwQ6f1o z=FNQ-a`QCTn*i|^YpCEB$`!SE7MG|xlt7ts_?2~>m$!235VPedB8Raq?vwK>;e~t8 zjjO1gf?pz!aPlRIFPb+sHFgZreddg=F4%vPX0g8WEi^BKtjo$!TcYhjtg;_rI-0lC z7*%h}rRUH-BC2;@(Q)q@6Uagr36t%4rV60yejnwFQX(n|1^hztu_=B*J$Ppx4f(gi zl~1K*8%u>P@9 zBz{^BZU_yBhod5dqeIL2Nq`I=C}SZ zD^X2yGv|X<6#NRGXcogSy|g<4%)&ieb!=1@EL=GGwstFmZp>buSDD{GZI6AX8QIo5 zz>lPui%1{zZ2hMRsiE`SXpr8V1y<$Fl@+tOA9yZx_ueGeEQ3K|9v;B&3Y9_fa5m7P zDD4@Pm6=8M(=g+Vun>vDmH84cG{S>bNCybuZyT=4Hq2G&SJXcqKxZ}f7K(ijz%B1- z!AK0BN4!+#E14P{a73nI{6`M9` zhKO1En@Lh5gL*Li{bT4eXkJiSXp0r!;RO=`$kNXBlK(r2oal48herx|Xtu^(Tzf#X zQ)o#gk$q%^x!uQe&YLjUHUyFwWLbNfMpUTmEgC=Wm+26$e+RSJX+d^6@7yjf&ec^+ z*)7%Xjl+!?F;(!Y0moj8AFuqI+%@` zR)zV(Yn>ue%?Q9&e5Q&ZLJGB|MyWKg`XsC0R~FcOrWsVHf%RI&v-_ z3=zmNVv-1H`8V;VKyGsmU1Hf`)D1J|L;Js&hWQ)q`2F_KMx?a}OSwxQ{-d@j^_w-T zZ-6>nO}Y5^;t47~aBI)D#kPUm8GL;T*8D$|1Ch#tg>F{Z7jZ+7^FaBxY6>#FGBWrM zXL^LErr7;?cu&9khKS-{;fG!OvewjgXqzZ^br^YDjpd|z=xM4`dbi7ejj`n?ytAE~ zVd+Zl_sG_^-hqE9mp>X?RtYwLsBtOrq3@ddmrb7ZGnUNC7O+i$faPmF>L6r9a@V84 zKh|FU$a=(mfh+176&EN&aLf%eruAth+h4mCVZ9@P)!f=EG-uK|%zpNDeM*i53Di|T zlc@D|qpd9)T2P8FwO`JE+2$1* ziv6OpQS$jgSz}PppZ9_jj@_g^d)L7$j8rB86Y8RN(_Q6_uXk$iYX|EvNcppX=YSXpdOTx>@Y)gr%7 zF&cOkdIx}INa*#0nwhm*?M$h0j^Bf0D(ov$TXKrCuE03mn(v9H<^K}p6h-FT3YzU0 zM^{7>L5_4IuoJKNQe%elgFx0GifHWMpuMeQdX$ux-&{sW9S&*o%aG zt?mq{A*4)nz4Qfylv0yYIyv$lvN!XnS6|N2e9O)3{<8Ey^&{ve)A=TPd~CZ!B6NHhwc zfLH_*HlM^zpEz}s8Zj8kE2+!OQ`yP|Yv%kzMlMfKl*?oqP?jF}MWZRNq$Z#y{Z)b& z`NvFY2P|E%w)jU4IPQktq)Qaxi2qO`>%UFFB&p;NYUr z<39mHM%UMA|M1A1w>F8~{Bm~P_Dyyj$OqDU4q}Wp#tO&P7co%D-Lw35vnU@G-0m*I zzTpGZJ(eCE@ut&?C#EnTr82x!PJbfcgSSsZdtH5zxv3 zC@X{dM(Cf`Z$Q@*f4lP{Kc5zvEKQOQBQI7<9Zotd9p2p>@phVa0cVcB;Q>T*`7|R3 zKrp6;f7L~8zPo$?H8>zwW(>XR$!L&|86C6OnzZgUE-eecF*3Y0?cD~)G7A4xqXA`#1^NC)M;~iKcJfxVGw8VC;l(GFwv9*UfQj?YO#kZKAo2St z^~|7r#TrHPUMJ6sS#$btFDti!AulXU;`HDf(uRWH6}Md)msXm7R?w#Q0+sk%rPcCF zx7j?ggq-^tpFQh&Xe`~;_^)@c|63#?}ztZN5a2O z1$XZwaeNpyN@O7mTwL(D;Abe44{Gseeo=M1k99x69AN8E&KbfhuSppD9f|uNNV#op z23&PbA{7#Q%7#S(ziAotv;YGBrQugMP^KZ-LPx77)*@UKYGMz+0tqjy=|m_06Y$3S*9i2IQzn&M2@)Nc6cswtI_ z?$oR>6)9-pD;{ua&G%{A2h7S7fO$Sl8z}TN_uEUw;)g zLpc;dgD0hhY~1#1S2DN)V>cL`VFG9YMUV#T-U)?H%vRp6955V-7oq(F@%1C%+6|-@ z)r(&W(~Uyn>8^YjpHEryf%L!UfB7mc$sy#OZAA0U@$hc4C{Q+sk<9Li$ylQmU6;9> z+*dnc7bpYI!Ko?YxORm$5D*-^^b2ZkK0QC-QuGuH758!o;i$NM5pZkT$^C?7qeR5S zz=DU{tV870tJ$f8`}>fm*Yav2DRe*^p+oVy{1agDXQK25q64fIh!##Ye>nZPgu(JD z)BZ!l=%uvjExnMS$zO!oZ$A7YI9&)Ih}MJtE%uCPHv2Q9;PdeFq`+r;X$Vj9Eyj&8 zauvco5~3WJEikUyn$#8f$y7ss4JS{b@}o=r;$5BH6C7S;PK~>yI-W!BKVeDyDtL+N zioixx&WauGqc5h7Rud8K_Iy`%FU?QDw+t`|ZELXQyW=D=FH}hG$WCA8jcud#iDiw9 z%b9c-d}SkK)l-|2=pH6koyWStR0?#ew zUreNR`=1~bDjKOj&Yed(DC4@1<)vV*Wk+t$r1L>WMXR%4HtVA8+%ymhl=<
  • @Iq z*nZ4bOEy%PPB$OyTRL8;Itt$!>K&q8IThB5udSCqXZM_=W@A$3(Lj0X+j^z6VbP#3N~Z`D?VC)HGp*J!xdbjBTz7 zxjRA8_;-?|CFTuzY|k3c=kkqP)(WztQ_=GS?v&PpTTQIuXn9y%Sbf5v2#iNLu}$Z; z;9$OtmzdD!@v!~`D{8uKvsXt10gxr`#IVy%WrOr3IERvuhZ{b~W$r|HO&a{<1!Tr- z@4fh{)$6=RATXaVd}Gx{*1uUdbJ2mgP*>6H`+ZsYX&RO$5SZjCbu1(ci&V1`c&=Ke zU5pIg*T{%G58Kn15@KTPzX9O%aaX@PB52QDB>3*?TXeQIm@nC0++BN>cltygOYI@f zUV#f2hyp@5Qku6OXmTTB?dw6M8y;O*S#fNP7-{gr#!k`cJOh-eX?V$dmT5xx0XWrH zQAfp-I{n;VZLK$~BX`pMF~qzSngR6J3TJ+CkzNHRHHS?g<&SImSu?$y{kv$XInq5n z&-!P1Db@-b?CqB%w#zC7BU!<$e#KB7_)YpEn!6|sqm>|p5bsfU5n%sIMhfPsv^4k% zIu}w*An^frj_yRVmKCwa1thvIf+nV$bGkMN@f2-BVVHcZ#^bwC{)Dd1 zI@T6@JDv~18D{{XKZtMmE0*6)B1MQQD}Io)Vy`L~#z24K({XlpeFl;bkRW!4lJ97(jwHED7KK0~CkWtPeZ1^Ma0ghhwmV*n16{v^d@D>W-T<>2$ zUR$&1G|S7*2KoluPv0YHt_UOoVNfVkQTUaUmycFcWsqUp-&N_!t#DOoN|C%VV0HqK zLpTlLzxY~k8b#ZRaeZTco`kOOi7cYLC(J_pm}D>UH1{_)5G*C@ImARoCkdU!7ADe* zHQs%I+h)rTqtpsXw|QNZzwVxC^~?TxZ)+{f3eL@w2x^v67*@?3krX&`IZMl%SHnSQ zLG#8;whq4N?_Z{*+ugReHae6`Ff#1!nkTcQhG$Do;CsD3S~!y|v?Bq1NT}jRAB{b= z!%hXyRl?I!!WT%FbJ;@gqT7=@8QojWQPzN|Ko6rv4_ZrtHaJVKUp%cX5^_;h+qGNa zs2~;?^xsNm0;2Fe=Zx5H)4x<_RE}ie0F-P7=1@C z5PWG=k(o&Lj+{x@QJ6hh`duaIg#mvMOPkZcaqn&c`D>C?4ySD_lutct+?>(oGz0Nd zV8(BOk_a`WNcwl)|NXUfT-$^tCNJUBsee=zeITT5b^BpQyXm{_Iqj6o{BPehE$g^L zY1|~y;&$dDx>FR}nd6o58_7mDT5@dv+*Et=i3RBTRCR^f)!^bmN|x3%4@IOT2DB51 zVZHm`Uj#A}KQhg#{$ie78K;a{P@-7YaB(R3X%Pz2qyWc0^Zj$Q1A7JGB75;R3;Ea` zR95gpqq%3`S2$6@8bKNWNcm2bI;PBt^f@3hMecwE?FSij6dM)pIg;-RS&6^$AD36R zG>`r<;2LsFAdA(6wB1{s$^j{s2`=I3$3eXTn=~K z-luSnhCr8)s38MaN#oH^Pg=;@v#a+zo$5P&vye3Iqu3|dLW%5JtOPjtBOcx7O3q|(foGh#n50g%2Wb&N8qCrq+_V30{fnN>mHpweIbKR!+ zzyQ{Sec8<%zd>2QsK$8VVSn5oC1vy|t!<4d!Ro zBYTB8FfNYy*Gd5ywfZJ$)yq+wBOg!-nK9gzLwDKCd4;D*o54te3HFVn`J3} zo+i1tzv)hsjy~=4v+qULCoGgm5H=DRUkH|kjBVIVYtRxj^=^d?!@_7ixz^$2S==9{ zv(@!UKT>S+PeOpu!zW2?PW5Rnx%;9geLDJ2aAAR)OPDBUyXyw_D}plky9y3v`5~1V z@m~l{Zm*4=cDR{uc7D2^t(&fiX*wAJ7(ji7$-E=5EvLdgHw3cq1CW?MgDA9V{hb=e%hf^0@M zQ%>E!Mzu>%d`69o=^eA?3t#5n-)H?XZuc<;?)ml4ICUQOvH;13dfebNn`i!-F~Ks^ zhSKqpIe?_lK(a8AXqFm_qZQ>B9E=$NSAd{(t#@r>!=|=E~Np00;6Kj*KSrFdOv^CY7xk=O0*#PPYJ* zVE)MImTuVLQhl8`)oI?w`Rg4{M%zZ%{ln4YD=s>0^uy?uJnPV}Xng#C9>0F5;{d*! ze2X8Yk0(E=`}bhrv@QrA-Uq=BoWDKY+_=Zi^du~tl#YS4Z-QTg87@k&RZ~CPLY5*h z2(}&eu-&28b*>+FuD=o_a+i~rr_MycP%CBERM&4bNyC$i!mg8?@|qa9TD^8D^oAST$faR0qyTz^YV9&b~U}WET z#zI?qGC-Ea8o?dV0`cD#N!%383W28`yjakNC)XRCJV^?VSonc-95@2L!eyfvXwSyK zO`7{Nw0=~@I2Cq2HXFW0P9Fy09P-@koK)%i~$S_gRQX z94pqJC)RT9F!>YuB{Cd+@Z9(B$lk|117OJV*JiHODPK ztkAsC~Ndlt)B(YeiVzM;8?m&X2z*?57_U!H_?^mKqudmWqz2?6=C#0fsYl1}?-Q^Eq_8pz$p1 zkR%DoU*2t@r~0f{L4(X~VP?Q-gw(bYB#I)7IFF7 zbzOqI&}LkNE6$B;n!e1B14E|8dKA@1O0`oM_xx?o*2sN0em6_^G<@L9np^nFo~0^1 zIn18W_%MCOX?p>7R+ZcH5Bd$E7(1$rmF>}I!3u8K|Gia%<@xm_bhkD%7gvK>29 zSkiySLW28qIcCd$)k?QD2BhNz$iWx$b}P4FrVU7Y*~6jWU$z&}33?Z}7s7Rq@_O=e zn&s6JNttfXH0NALB+EgqNgV>n{yPwQ`t5`N4Sb%(%rTxY^er0CK=~H|HjOXpk#rd7 z&*U%5W{4q#()+y)7Jdj{fy==lDKlL0S%eoH5)otr?uFGi=AL)B5iE@G1j}~lzoY`0 zG8|)#J;J;@EEZWGt_hkIR(0G3XWZ@5?lAV7g*tF zlvWQ$7Pg+TKc;|;Jq7U2118W?q3iJvXs8Yi(PN<(+@|18p6Su9C=&E$%DhAtm3q3b z1!NE7RbGrtL1r&~Lw+}dUD9v!2dy#Uw%p~1GfvstueKI#2R@IcgdUxA!J&%ZCnKB3a!q(u)xD>ixA zWMf*kCV0L#DRORij-3SyJeT?g_#+^S9mwrLQ2gT#gCycv&s8i&(but3b-xmJ0!syp!Sw{ z+5C&7=5<%@RMpZevyIWe&@s7Rd&(ahN!cv z9Hd`*$}LFNAIimUxM1nOh^m)Q6Nh5n$iLIy3*ev};&`|4_h(W- z{36b#@sQxMv=PQ0Wpj=MBvf;ba<%Hpt#j(83a2eh8S}95Eyr)D^we3#?8gnJhKKP| z(~570H+fSPySW=VyryOmoLa ze0X^%`>isY;fG$GP>vIO)@5O}u%RHs{Zu0v+9xDLT}!a?G~(}$^^2VY=`SC40fGvA zaDjl04rm^|@t%C2EZ845xx?bT@Ixo|-u*T%@pgm%%TvGZKG<+LVNqhGt7P~AqvZTx z=dUPKSOm3&?0k@U?!D^36oh=7JM<(WOZ<I#_A{Z5Xd3_ z;9NwZAuf`6VGl1rIS@o<_#>W0W`T8sTluO*mjAYPH5JK5%qrfN%-r-oFA z@YiP0g^iD(y9v3f?+qsXzQMhupjp=zSp^n0E7-_!z8M0%jiI~^y06Z3p3VH@c^F8P z7_xrC0qp@Xt)H%0wXmG&t)l?3122{h2qm}Jg01yNwvpWygk=^Adp`HZf(jj{ZNuHC zR-TW+n47B0zM9D%xqyh1%xo0McbIUd@Z)anLuI3I8w=1PH%22miV}H;Yza96Fbvnw z`?*T?>6g81m~N5qbm5P`_G--Ae>suEUg2Cf@0Z-NX*^Asm2`D!%P{|dl%R;#Fv^Ha z_M-FNj&y7@7L?!AH|61-@O0xPnaVk3sQOmpE=?a6<$1cpEoBTd+>>l$8BT-D)>xNK z{(P%Eg>BqocsCkV!`)9bpIuX2$(*DjU-!mb6@y{OA`@w`htku<7_=_q7%XePRxgTf z7NDY5H70l|TV{*n=c%V_4W9R`ld!#7Jce^m6S&}`2>Mqw>&W55=Ht*a)?M?uf%c`^8zz`IkWUK@(9B_#~rv1*#FJi7F9KY6}vys+7 z0-gq_D%ja@dNQ#`D6I(Sn0KO|R3J%l-sYWwo7spQzz@A6f%Mh5gS*9|f#;J-wikHe zS}#LIa{v$1 zE<@ei)X!-as5rKjwCI!M=}A26RmuPfB(E>ByRwp{YEP_GF=0NC0x#XLT5mP%@gATN zu_ZWnR;YO4JayO&oI{EgcqFlQamM3cwXdDO@2zordq2PBQ(XtIhDgKf8?tq|8b(d_ z=q=d(xLEZ4yHl6=Zbr@bKXUrJqX7gM@xf;(J{Q_y%5696ZN+0NMwn-M|Jg~6xIV%q z*3ZAosQCJ(fQ&1XOz?90DNy9yHzv-j$JXSVUmsc%ZI;+h%qylfqc_M8Aj0z19minP zGae%Ch@fRhQc*hfd7np`sv%F_?M<<}6(Y1}P}&wn#D^1WDiLTnSSL5MS-zu0T;o&_ zkr=${iJh2Si(d;awO)*$zBMM2A{K0}$EKyNWH2goev5(n{CPM@5WRT8H-D$0RJp$_ zvWS1x680Uw4t2D&K$AW{CRX@JID8i-j0X&w+PkQ^`IY8?0hzu`1>9l~Lvg7-%O zJLy4!t?qlZ)xi6G^r)YqauBv6Bqioxytb7!l06rG{(pPIgOc;W_v7M{pG^L(X&Hp3 zoT407Bb5?g1!mZQKHA0*=u2QAzZz{<-7L`#cm(M69WOwH;K>QE7DE$0kyAY^sGhvkE5$_r1R_JSDUN5yL(Jd4`WPsGd+yy&Z}!< zj4@1iO}o>->Fzeo4CCr}&tCt4d++m{bH3-3JosG+c(vO0kObODeRSc#&qmj-)W2U4 z6Xar*=u@EeBdgm?7kMwMJiozLGCT&!_-f>rz|KKuqVJ{#mSv5BD^VNP>m$<|v#GZ~ z7`ty;pOg@WvKS-DdT8ghW36gFopX~Zew@6avx2C-rl3cv#XqTa9F={+6k%bD0?ft0 zoBNuYQ%@HbaBx!LbMbq@GipB}MKKJ+6RGsyZOLUs^f&xZ9AoWB=G9Ua-h&G_%6F|K z?32ISLqVsxhm4sS?RZjQ*(P|NT@CpqkN4k4yfgM5cnm!phVq4r8xSJ&a1=rP-X7hy zV4hh7$v)N8e&%e-V67>ld{BL<=yEEMiDznU=T^3jU8X5L)eQuSY|`Z_|5vd#@)#q#+{B z0~{j)I@I!?jHzzakDI*xUA~BIa*f1Cf zjF8$B;IT8jWEC*B#X3!ioH2T0P8fsXC)>JxW?1|;AQg#Q37PdkX74uJJw9)crId_R zprV?XB-cQ81ogaN#xd}+ZEf559j0Y`Ypu8lf!PHJ(N%z(1s}sNGe?Tvd&24>E@=m* z_{++i%%TM2syL{gy~g=&W#QSqw`_c7Ol-EVE{IG_y9b{)W-w$p8|&LuT-42)m=70t z%6-6)G$ch~UU`C@Xk1Au8JqvJ@{D)4*|yJ^c(v`}ns^^`SyuKQZ+N}p3Zco3qN$x%P+S*!FM{MSmn+y#t2bzAgJJ8@yi3iwi9ecHn(3{FbdaAQkI%f?Om{eq^15}yRjHIwNrT{KbP0-|3)Skj z`OiKL{`Y||>r?ZZya!VuEmyQMMX6?yAe`kOUY$B4AUQzk$;MaNmr`Vo4h&+1s;Hwa zM@P;##}4PxH}z5&0g@+OX#&W(Ia(3Y2SC}MCa!~YXnoh zXi3WNTocgy@q2EjLK?5iij{Z}a%dj#0i&?_V9WDR@UT7T1@p-g>=mThvc#L7ltkE; z|L|M}Hk4hI7x4$nuxVGwOuK0OBeUnG8{k|zX*UTxy6wtCfbz|vCFns3tkU;xM6> zV6ROOf+1Xg9C+;SMfx8XVGx$@T3kC*Ur6fGY|@Wb0<#p>d+zoMjUa;*#82hj<&JBS z$DMXQI4M7gCtb{Ju2=kAg>TVGN+_~N+lpeoX4>uJw4xLII=5a#Qmqmxenmu6U0%P) zTtYIu1U>6#>wj*BxdDdC%>qdK6)oLWM#UO^5GTeO!8}|R?g`PcYb>cxfJoJ<>o1*h zYykOv8py!qFg`q@q5m~+XDp`vx3xgtS!>xqzLYsaRgzALCd+-qmPn!52#MZW6~*xv zmW{%`{5ZW74r<7P(|^g30%Un+^j`jGAZ$Xu)N)xEzWx=L(yc|DxqHdA2FfO z*q=^VB4sAElxg!AlPR!3+on$|8wtcp?5&5!>weto8b(SSE(={_$O>pN{Vdy=Xo?%E zsuvAi%G^_#VD3Ml63VLxlHcf%p~MW5ZTG+Abu6wil*}*-nZG;_)BeKQ6H7X)Gh^=R zI{LxaD?8yy(3YB8)Td0@&3C4|y)f6dVJh>rz^sN1})pp-a_{$b; zS7E7UasJfqutfZXf;)`I2n>Sk$S3?n&sYuC8Tu_{_?uU|N;Ec%(*vQL0jm82*1!Jo zJcelu$|2@n$B}DLJD=WwH=|#;N$b`rW30QUjAN>!8#`UjZuUget$J8J)D@5gPCsP! zL_s(!e)d^S9A73SCLSPe08n73bbLQLitEI*;&KT%pmR%aZ?aSk&zvtrGekDe4Yjj@ zgWvwy4WQw(-Pf*1z2BGml%%`8)L7|g^J8OYKi1?^wF~3v*o@sgXWmfxerwZ_Mzap8 zq2Raw`f*6Ixt;E&Qzot#oQe#^u{1>~{VcYtOdK#e$?0*bR<(q?MtLq$5rU4E_q$aF z$h)6wzx;P(g8B(k6mCB1UAE?Nah3B~^9ZSz}E zYPri`E>~PfLE5C}*@=;91p0&9)f^=L1cqJoPN;`+{%OA01xj9Wokd z-*@~#ZN{BGdr4=RPKnwvO0VBc49){|qzYz_NmuUL^tH2#k`t)I1vj$`&S6(nWDalKkD!ye-#BGo{~dLci72+x zCo*D^!SmGA1E$e%m8IUl7KDk%;SR*h9e^l9nM8Vq`Cf!Fp+?QPa`ykxuHd~+`RgiL zz>lXDe--<>BuopFrb(O6jGGih0{ja{$p}2@!YJqCb*eepBz-XSIXzJOmD%)eO%6Re z=v9j%bw}W>o-uDKwO)=1gVWyKw8r0VyX>2={lkJ?&?}M}E=pwD_>05Ns$%M`ADs40 z=%jkf!>%#LD^kWd(xibc`JXnGZg$cL{jw7ulg3uWovk=()qh8ar`Z^lC(EKE+(QE7 z>$#0=Luw6a8DPO*orNG3ere0N#@~vPBoucl+gqpKQg}<-71pcNIMs& zn!!AAg*qnYsh|a8NRaG#!6X@5O2I?dBC#*-iE=wZHz7@Fx%~>(mnZg!{_IWWJ(QsB zim(5Q0nV?k$dUOu(7&0d?xHj9d_B5FJ;fzCYc+8_N#RVo8s$^Vf2 z8S1Aj{9m+ZUec;PZ*)qAeS)x5tZ>9rti01_%Ezo8_f#J;m>!4B|QnkuYsi z7t>8Lwulj5l?28%R*_-wtMuY3K4@6z1N5Up;w;ZgN}s1UBewNj79rkwZ&S!hSH+s( z@RdWvy3#-h(k?Y&bZGbZ=bDUH`0F}1S$~`H&%TQ@Q_A9occbS&srkiG{E%suF&G8u z4H2R;+}*NwG-?PPkq3_899ng@OF9mZdbwv;R>Ud032p6$ojuQnzRNn6Wdn^2r z`{QtJAt|gD{D4GNt>)F=8agEq_PDe`IR3*2nz$I3I((6LL%8q3!ct06Ph3`64fM?6 z3iuv#V>s5_i#xnm zrlxo4OgV`Gyq)&^c!W<(Z@jpgsXyKDPAZ#sKP`9t#d3=eeDmw2O~rz~2;*fliriSFW=ok5=={grN5`Dl7ATQk zv1RrtD+JTjbx02$4A5j4e=`seQR6<(#{C-oN`$xMa$U9;hotOny3e0q>;D2fL2i@2 zdEj=|(&A#>c2={QnB3ZFaKThNRc9Tj+Fer<|0S*i*s&9s`c=NwQ4IyJBT<&bFigS$mwhkoE6I zJfBG|X_*hJu>*TmNYsMhirG}zTg)5E&S@VT|28|N#nIGZjURate22V>Gg>$3Z-ydt zO-karBZk21zv43I*nlT}H?BNsE%gVKgTN!IJ)fE+Yv)OxfgH$Sa6uJ`J2zvAlyEmp zt&HFPtMG7`jP$J&;`y+_Q%qYeW#|PEC7IRyKb2>Db?K9>;{RG2Mk>ImejB*6X&!hh zmfVQ4vjK1uhexO}`=MgqmY&aTEEl{NIft_U<{tVk31J?^bVq91_V5}EZ3XA9v=ItLbFw>S1)t)nu31=?HvsZy z9EHA&m{muGE6FA^gcH z@0d6t#-djbo11S+E&$yKdQbvG}52i6irI~L(Dpr-q*x7(}H|RJmX1M=YF1$d%^kc1;1Y@X7qqJgKddYH3 zIc&Zen(?GFJAaJcdwQZTlbU6Z}P4x}qruxEZ)+N=r$BN=Vu!kosTfDRZ9^h702j z7#QnU9rJ$8@;u7@n;RLRZt(eG5B)cy?@0gNe{tR2dYHg9HEPj6`txV@(9`Eu^wclv z-OcPQsm%gdv+N=%PR;z7@}2cThfP6mYYi-HWd^KRb>f4Q1c!HH0vWOHK0y3g}e?f;R!FHjmgX>5;CqoMch z#H@+>VMEW)r{4dtU4J1R?Q(1rfZb^nNVB`$LqQ4cs#C(Riw-kcG2v(rdu984C|;7w zpN-IKTx(kOrA_^#kB6wcVAl_>w8cs}p0kKgi};Y4KPguR_!$N?p8_>-!bTqf z0Mb-ZY_JkF^Uk~e|A)7z%I^kV``k~*y~{A@t4cjE_C%9{=f6H(y6|_kY3WFUC^L=GWFR>h1XaEgkHi^nQ;9m(~6DqBV? zcqU7P7QuzFmhjdoM>e&yP0Cm9xq6TVK%c9`d? zKi(*9LD~%udkKDJ9F%*$nSdq!&DPZ}^A2k)HN9xkaxUnWnFvz7ZeBYEB?Zkkxw5uv zZL4{lXiTI)$oTz>(gsE-))&&hY~wF;Hrkt;%&G;i)mdXgN_IRLQj^8`JC{Q&4$nr12ftSBu>=S;*oMg!jE|S)SM6+Wj&6u*`4YYN( zO;zS-wnv|6o|OtXBm4q^yhb1S1AXg!)F3Bukc`YTi5uZqBr+t?eGr8aJ(*gj=CS*? zEAA6ky3#FG?T~0En?b!G$D5aZ!3=y4K)tn8M_yxuE{cfRyZC3A6kKV3a7SQo1~Tp2 zfVy&&f2k%`KHlEm`9*``>c@|J0nZ+%zE6lGTzeO=3{od$+P zCKu#@u^tWs=mqT0SPP^T*d9j!nq`A$B>54{J1$$QA9odcr-f!7 z52YDfC!wRuEh-8Nw%Hd)s#5~L@_lMFO|)&m0J*odsdpe}P36VJdh%58bxQ(GqML(n z31;NKa-aWl3x}A45)-*ZgMd;Ku>b&Gv*{OuRP&Enoz_qhK^@%5HZ7Si%~Gk&T+gsx z|2zRNz3*3V@odF>BnAwV=XKtKYoI>)=>f}|bC2w)!WsW++ECsr^Nmjq_}+vv71d+M zo<*0H8XJt`LM7vqd7o!2Hu1M!4u(V9t!FWs61I2x?rDxXrD>PliP3wEb~x48C)P8R z_{X;u6W7v|v0CjcQz8lI@%kh`Ptd6k$nlf(@3@LG52>UeXDu!m@0s9pu4g@$kofH( z-XEEm$9^`vTC%b-yQj`@nWKo?*^NzmqaU=be^=LoCrvTNpZV=1uMEG?;1i6x!r}Y^ zE8re6$5j>oth(6%1%()PL~J%tX^F5Ye)xV<2YNn%$gcfluzNMllY|Y3tp|d&?Q4#~ zLBVKtMQn{J-$2(PU{z3qa+nk2vP;PqFzfiF4EsirJG0juQGaj^e7PwtuY4OxvdsfW zN}C<`O9&ytn9Kfk_~;==IL2gN^3%ogeprG%yegrgsKmy60r$>g{G(}NMokr=T)zo% z8yg!9b|r2+^Vi|;nwAU(*8N#io{+m0D1`Bczmg&S{6s(!Rgwkr9lu4&f1u0pTSt3J zW;d4ildAqV&kOOS49L3h=@X-Oqk8gYAK!QNe0|Fd4SgmxkN@nq)UO97vRrQF>F!w- z7`1Xnm4Hdll_^_8=ru6o_4<=u)~ur{Dfhr49HMK05V2CPd}@CkZjiJcD?R$DCuVHM zFoq;m^g~GoUwTN*lo!S*22}fl+inIka4bDXCCs_ntss4ptK)Zb&cPSQoKZqRd$!Id zeH~-GKUd2-6?|Z7m+i3Y?}9arS$9GJMnmBIU#vZYZyuOer<5A3X$0%Pz5x)JEInP) zk(X4?RNm}x?tCO!TTJ3e*aYM~GPOUL(ArkKKJI8;@|4wPi~cQwCNYOtc&V(kh*&@0 z+97b;n1rY2_C1g&Z=xN3q>Z!t-rK7MW z(D?vda-!1U+Ds%U@>CBM)#M(z2<>H$+!ZOsA4KWw7m@$R-$(@A&8r{- z3GXCMn0Zajw%`E7hF6jRtHp7b`aLRewLMv@{t1|=QR#^Q-hlDadydVkye2us8i|17 zMzxJ|m9!_rdY+l+pRjFtg)sBm2J?CibCb$buFs)+#WQ}V-^XBf9?WCsi3UUacdAR8 zj(S&&c7A_~^1z!1HN?C_fa^+jyu$+zdrO{wxG_{>k;g!1qcyXP*Zyhe=Jc34ON4;d z>LG%hKY6v`34{sxwRFa3lLJzY>J*p&bl5$t-{E_HLqz9IxFf$h<`06{>JOPZC9dTg zY1!_oB`>#f)!)j{5{7_ye9{%|=aA!XSu%9Ax-2EI6=m!YcQru@`=9F!1ApP1rZswG zyq)j{BOIGs@KV!ol+sviIyp+v=6|%%BVGuglKo?@Ue)7T{7*n0_6mt6n2uWETNuQq zLi$}EcFoPi`ooauzK}DrW@4`A$!*8u?eCKt@9ZAElQ{FcU(^286pKVx$PxipuJ`_P zPS>g(U;SN2{pMPDXsHrkLFVaYa8O1_y;&X0?D3-%R)=#BGgVowjrX~GVO`u5yv;Z3 z9QHT^EA*To*Gt~)cfpQC)r_ODvGF*LMr9BRQv-Ix-!Fz8|E>o`k&|fZ0AwULfxh?S ze?q@Xpcx|NLs?_PDe%I$0Rn-iouyEcqaNlU%$ePXIyJ$?)fX^lD2OH={() zZw`~#A_fZ+=y+U5f!AuIcpC5IKx&!gTYRA5$ZYbtp^r8;^qK6{r4Ft5M-eR>{%u~U zKqr=*QOT`z3U==FEnrbDR;2@Po(U=Mn|=sM<($)_&M7Uo6{g0`=-izy;=T@p%~kJw z5>jM$PR9Ecb^9xh?~3m?q;u`@Hn`(Afu^?23YS0A^Yli|rG13osMyu>y@)Mdx)rD? zdQX;GU~HqI@bs4*8jU9qD%7&auCG?RC^=X-&o7#6{%ff11JpW^@YXvBreui}Av_YV$X9FFU`pN)F4Jc+$TAtnpziFp(N> zj*}VnV~B12lNE-aUH*7MjL-o^PMvwzW}CPiT6g%F`e5fEp5@|m4*oDj@QyhqvA=nF zEK5|15;yVW8E1@jY%U|yFWcPdch4v{Psx8J@Cf1 z{-3OHX6^o;{>P;c(l66Tr)S2bZn@!|qu)ZMqOe_6-1hkjalSgh*Z$k6L=C|~W~UeC z-%+%PedeN>x!FAo3gldRi_k?0bl=g@)$f9WqHxsXkvFO6hYs=3{EJMYME_C*wI7^0w~(xk}zs$S1C&DZ5ocXv!; zLk?JF&7+N9B6BW_gqVz%e{CnblDmtm;H${qe-Y1DbP1#{tkUmJ7z9p zBb3AU4=GHj$mO-SoIbwx3SHBQnke`$OxY|#&atSD8idDfXpIRDnx%y9RP$p zd)Ja(3RdrId1?Jh-#{xr5)0x`TXMb=ZAAE!RJy^59d?rOdX}# zR3IO&L;F#l1KoU2R4?>zuE+W<1`OOsu50thj%f2=tEbhgZ#*Uh0IztaAR_U zZ}ZfZgwshXOZ2{&?X~D}YLq*JfY}UO13!d1G*@$lmVnf_NLZ)SZYbu?xkahwLNNW8 zIdATY3-H`&^dq&r2t)0?>1j@SZ#!J_-x7kxc_FahrT8nK!UmUXGE?!O(CN+y)h@Lv zQaPQ@EXyY()l`9A0QxnwzB%lN6klwCeorvheO=Wpx|P1PW^X$M=$hnOLb?FYoWoWa z9w+gETAvM1tI#zmo!qC<(E3G37t&7<*Pf7N)unQ%l(e<={*Agq0})gxK(l5-Zb)GT zpzALQ-*UH9R#yIN>wEk5aBr_iVLvTocc&mV*CbWYCl!LbqiU)dT!}R*yE^ze=v|{=0ywC zkAuTvXta*mo^`k>WqwTu5>4(QoCr1O@qb3y<()$-@6(|4SS%udLY@%O9O4k>w6ItF zqy5$4;NSc;Vx1J6tXCP?)34*m`PhW4zX@l%pD+ajwp4#O1?_mS zU5705T~DmrYRN6}gvFmiC2t@Fhx*5`L7AnwZ=vM`$~6;2(DX4Jt9n28u~2v{L8r$c z>YLco@Uv_+JMrvpxr9ubbt?i!usYWX4(0ma)h`U6QTw)8V$83tvDpo$8Z>Mh#Sh<9 zfBF7(f!cL9cllS?8KG%jO(O+QcGUN6?wnzd^{ofpN_#o)XD;)?@1Ak$7!Z9xVE>#5 zm_4GX;!99OF>KT@=NohHF#-fwwj zpB~j)s+k91o+H1|yv*Ue_1xM-p%)#=FgS@pSEN>ME2ddT(8|7tLEQavp!<**NoOib zdB(o><9Eco2P*pAd9gH{8;J?7YJLr3W(`+inhLI+u9z@;3=qhqRq;hu!;wS;m1-1c@P*ygL z;jEx5LH?(fAo1sBPfw2t*7AW%_MdGLXyT-YIB0?l?~-W=9z-{Rt2S77Q6|Hz!+4u< zK40-SCp)1ot2Sn>FK4T~)y?aEEh}WkF{PdmRH^s20eE@kS!DMB*n56ur;M{}(zMj) z2e9~NnHN^m9XV`)(R(%+T7TBk!apLcxLt2f&j`l1Q{MjUi^u-Yh!!{MGu?YKecTj z;*a(bFE-rAM(j4Xa_$Cl3U-g;y+Q;_@3i4T1-qOQ=)B$?#=9J3zJB!!sCi1paiEn) zYbLR2M<7Wm>c+#Vt|<54M3{SfSojNI7Ux-H@D35;Iw<&>+?Zm(N`~3>Cn-vfR)e4qZKg94 zA6_1wLg;X~rhpz@g?n}#0IGY(aC1eyt+wSTEc(b)4IQWNkO5v}X$#sWINIwfVCQ#O z|J~QQ5@>hA<-~uJxosFT*f?`@BCSVuIW25y*N%id$dMPSbMh8(K?`+%TdvP-@oc2-;F9&v1s<_HJ)1x8BPpZp}3%(FBM8FI8Mm%rd4Bi`0|f{2{w~c%2Al6@O&%X zJSb!J%Z24@^h+JD<-rb`)&4XbWQXwbHUdcxQR;`0wY!nnxT9ym_lRR7N&9lo#}Cg) z8mM`W>gG6l4UhlER0rpIt;w;{xr&NQBRbKz=u*kro4CnRKDl1|X(iP&vs${>7{Xh| zLTI7&{CGlv8#%E@gZ_AN5(ba9^%*c#U$_}w+j}5AqULwT?7X-TZX5vg&k1~&)SqMw>X5Yu<{E1FXTngk)wG-^9bTfLJjhF}@~}a8n52kFI)A)4oN#FZ zcVo1Cq`!~3C?Liblv-dKqwdT6KxMCVz>rA}f6|saO)rGGtRc0_6xZe7ntcRkBjDRGjt@gM}z0xk$e6YQt z@v=__C^;g%7CyhPdF|c?GfNOQ9DeWQui^dl)3~)j>5Sv}JIk~e(jcpxPSP)e0`CVY zZrvgsFGJ;XFHUDTt$b>K)O%A>RLB-Yvl^YHOLW~|K>?EdibQn)#5H)P6c9uw+fHxd zB*?r!N8-CR`Qw_g zgK}i=88f&Q_>oF`@N&90`kt4S;e|_3CeS-sbh_y;h<6+y9zoI4$*ZLf$K3OsqdsS{ zM^G1h8oX7z!x+v(07ZRR&PA^_gTEi8p`#P*r!5b0*u1>BaE%xuJ__X&}KB6e9+#KiVuzOb{5Dk!Y%R2Vb+D zp@j?7FUMv8*2j?znnXeue0SQ?u~PUVrXyq97x(D7R2Ip;sJ1)%OXI;1a&#f8K_*?s1Kmbi z*c<-=`>anm6;&7(NflZZvzGP~;*Czz>Dk6dgV+b5ZJY?(;yLz($f#&%nSD=P9+kNb-q)PCl z>@6sv_H(QrJ)gn?g`@`eyDfBZ2X>S8^jpUQlJuE%k~}MOVdV1%eS)-rM!jn5G8{4q zgF0?7j=65ub{<>lztA1kEBADDt%1XFHY_D*MgH;dyIJ9lig8jOcND248lB+}H?lYh zjt^kv)!oUx`{^X@I3E2TA%ioZc*W(+7u3Q_E)bL%jm2N7vm6X-i_*!D)P;zL{5H-- z!TjE^&f9IzLN|FfHN6uy_pMPmhq{qY3{9aTcv12q;TszAx8})>|E64;2p}PC^s%{u z?ABiI-wWi7fej|rW?}7qWo_YojW$DD^~_H`_j3_!Uv`-m+(C~=tN^ss&sih3Np#Zx zU8fp{eN-UPoyX9AE)#+1zy$H;qslDkY+g z_0SzvCmF?BxmHEq%-x9W!4pxjaqapm7c=A7KrbI#YbNNBaVA5)o$6*nGbBG5O9&O-m46wY8%u8_7=trZg-6o#^SVFDF+HC` zwVKEw*w1y7d7aMs5v4M70-n)}PbLLptN*r@$1N8xDxIt?Zv1N>oL_6lOpCiGCnx(; z#X!q9otHZ*o{Da0R@ZqeM-#TJ&?f0AcJY9;K-lKrRTI4a))h#wBJ9mT8%i-pq< zp7Jg^iPe4<2(bQybsZEKn-be$P>@@qlS;2QIQ&=QWwa~Y?B$kB#~QHE-Ga4L&kdwL ziz_Rhqwt`6&}Jy7+3|RPY&k*W2963L1aAwU{umW&)gWE%?@Fqu&>SLAk7=`z z4I5x7qZsxjbjZzer@#6xwU6L5u8L9p3+>{qr7U*bhVreeWBYb@iNj5KW-8Wgpkh1S zhf^=*?at3C-G9_j*~y7pDxsdkzdebR3R$G5WZR~2jaO32(o9p{H8vcZ3uf|ESXBj- zd{GFuRN1v0TH&blGPiQBAVbt``VOUUwzdku zCq7luu0qXv6sE*kwD`1`gJM`>a{4d)Li2I%x~@EL{X15-gfVwPIzB3^i37@|v6Jb(m zBdv?ku}G{@g5aySO%?KK0o_Zb2imhQ+L0@~N*(zQ>d9_DWnUE8*bN3Hw6@lQIr}w| zx0L9SH3NrPnhs*H4%;wrno6r>-lb{DNtj>_osHC`6X;^D4$7-LSLEQPqT2Z}RSX_p z?v#A(1dLz(;j~fxgnuG#Wxw|iT)yPw!a{jg%s){~HWgYq{N6OL8;-_eef0=#1rlR< z1wcDRDX7tGu_EBHVEb`K|FOa5l-7d&ebW*U8puHlQda#>QhmSD(a|+6Ib&h7U%W(% z(gVLHoc-t`VxaoxB6EahFkK>!);$xC2Vj`KXhk`$v3Hn5| z>GSv_#_FC?m6L3g_l0yXX%|VuEj+)>g;R-WRE*uAh)7wz{YD6JAvd^iUF=dU+=lbl z+RNA_LKAG=^Abs17FJe(CVC!?2eohVQD~?RT)=Ad$^)-9qLM!?U^H}Za^wX3je%)# z>wN#b0G<|)>S=i*(pAFR6^=liQe#39vQDxED{&8!Mm>nN8uz$R2Di3y=f_Ly9)7JMeM2nN&p3{>O;Pi zgk~ZQ5mM(zR7x{$LX&-+-y2?72YXLcQ=6gcKReiM!&ute+Tw;>p9h#4NJ3tbP7}Wv zmo`F2t68_p`n8}Rofs+b=F!va9wJ8~8f985%NUynW z6!g3ugoeyYgysY}{S@XZf`f$4s{}Odf`fDP!=z;;wtyszpdt7EXNP#>ewJ$X6QLpJ z4Qhik)4|bqb(1F-n&r=*kSzxRIad2y^7wKr{#|N`TOJJ}m-oxB^O%0BE!#hGTRuMx)TGcX(zc4qpKJyH11a+QZ=vW z*{#7j^Ed`#FaDEheRNnUmngV5{jk0Bhk+2KB4Q#YEPoOzfHby;MsPVGt5~8~zYsxR zM&mx(<>fq7i=pP4sL$&U6R_4|u)Kd+aZO~7+E{^D5}Oigf=*LrA^tm4=I~lf6+Mht zP}Ly~NeE%B?z{-6Q7P2IM4y+<7+gd zUy2=S^Io!YSf7>4oCZA{$qb7T|H4y`SnFE|&evGQ8E^o~Y_nVkeYF#QOZKbM(gKOd zl}adpgfokTUTSd7eury&1qq#_lmWM#Wa1^DC3I6-2z4ocB1)x_nobnI{;c<@_Dkx- zhuZu$8BAQA;0KhrT8}g`x_x19hlz@CRdf%3~us;MwGau?*UadiMaE#m;BS|{Wc#j zT9%HiJlkw`WwQMzw7+qr{^%1Ie^`nGj0Glr8d;GY>O*D*^bha+06qCQH2TSJ(`cd) ziGKpyI^mo#x2NAi31-pRhCo?dV|>?dxr8XehV8*#5t#S!s#}t*R=)il8%oy@yS9RO z*`7KMDXMc{kb2~Q!=HDzSk2&aFe;f0HE-CgHib7OIWWuk!N2Nx{OUWeGp?;m<>0;( zdi4gP3%fZs)Tr=L-atzS{|6T2B~DZGu$Th+jQ9J(2-cUec8n9whqw{{#5`}4dv z?hN-Zw4jx!tmQirFG%ape@(`<2H5D~;G-31R#x(W%wdZ+6g5Q#Uw3O-%{m^a)PW2P z{O^chTqm;giw)QPQGyteR8;O7n(Oyo!R$GpH&rF$?@cru_>iO^;==1gd>!ADaj;P% zQbXq~vgJ6SMH%~zuJ4$?3r0KEHb0$@M;l2=$>=B55+g=F%I?XXPT4iY8YKH<9?SqK79uYHN5Ik1Q9o zJy^?y`B?-Gmyoos@S9q85F-D7?<^L|Z?Qi6gV}#~1}$G$K<7OMnr0D0!_9Pw#>w10gT>()BnpJ|4_LL(C+Hs-lLcKc5uNGo5%~77~#pd?-jwVy|*e^a9mSwAm7#V=zWw+lyDsM+lwT)u~n3yVEdOj__7a zsbMAH&Iy*b?5Ik%^r!wvNDKY9`YfIoOqB_=%}3xPC&BrlEdF`flUMqPIeBqS%-NC< zl-E@AhSsJbkJ})}7Z`4)P-|6qdzTEyyGl-6v!^6=H{LYYZGR8^Fi+!l!rM!uXoWIQ zc_Kp2CeTUoT=8{Vdm_zxMJ_ibLcZm(`%kuKBr)%|@9(`Re2&3`&zpV@%9^w> z)Q*NT=a$z=OXc=$gnSC;-r@dZ8;}f1pHryLkk%D{pzCX$G&-N(06WZ8P-@#x*13I; z&Iy2-OnrgLg9paYviq-yt1%{P5KvmaUj;h^g8QC^V+?+0B9mW0emLpD`+qL>$trMA z1a*MCkO4FM;JWSK>r$fV$%(~iuMuo3zugomFux66ns4yt4MUMVAToDjAarPK_iWR zqfek%JK8UTPJw|*YlizJU+ZvM2X|v7P!S(XN+32yUj-(>7E{3-p6kfnfKni}*1T>f zeY*g{8Ai`+_on`q)&F0S?J19Lb)dy=6aMek=5trxaZ}!| zcx3zd%lr;{eDC;HrVQhIM7n9^oO$58MON{i*%4HtXpJ)dqe5f%C>1do8zC_V z0W|{VyIlGuHK7LP&*zkMnQ>ssa(H<492RD6I{hbA-9ox2w8o7V-(=O?yf+bl|B?Y zDNVIQ3D9;(Ax}x1e%-9GGwu`*LX`3>hhjA5dd0Aj?OK1F@E%JN>mC}Q=)L^|g+&Mj zn?7|BQG9`B#zPqskx%E2T|t2@9*!qhd^zUd!kWENkBDP7iF&z3JO0a zYu=ml%7QdZ&1sK(#$DMMmF#@5_vKi`XIGvt|Bs}zjH7jh09wjP>jAjr>Nm|4 zq(LzZp_eLzREaj(b+_R-4W*%Fu!5$SWV*^}&gSx(iZ8E0YjyZ&SX0CwR@^j|59iWeU=Z2Z&O)#|5m>{qDO#z93?P zi7A%SeVMaFuS2g?Xgmnv6JBJVAxB4ay=m0k;bdT3&+DN#2_i*$^`%@Dfi#N7}n-=tm69?;xxrD?Y2Nff#=i~_vz`KcN zi;9?HS2Sa*?YfI?Y;K(ChR#jh)3>C*&pL)dg=hTSF(G`~wz(>Ho9+Slyg@m#KO|xJ z-*QTYVOzR_SSseWlOtmz{FQ6IPXj+tiZI|MW7) z|G8$5x|dmi`CNGz~4YXs8U{8tU5R3}%(-3^J;Ou>oM-^56VKu|ex2fbdg|1$04Raw6N zeNPJmot)qcNrtKg$RjLY+Mf~15IA+Ls2mAB_)%dF5c1tGyTASJXr?=3(XK9oGj|=0 zP5qIFe$Hp46LfX*@p)Vyzk3b;UzEJ2mYRD;f{5U{z#&~o3n|oI#R8@^BDqW$SXO1< zcDZR%jS-xaq{n-1h}_CNh5p?=xodm)^fcF>%=QjT#nr%uac7)KXAZ$OCHRA%3+abf z)!6TUE2aFECk7aj1pKsr!<;5h^vUhv^&@Aa;SKo>ZTNQMq6Tqjo0_&dBi0{$VA|5+ zII%3+stBp>=yu>HOhFM-IC0cc6XdoWskBmc>sjqoI2`rxW?{2584teX~CgY+56vUUqwerbRDzxNWi+C>6}~<~>8A%_RDCLwNs?m)3oiA_>6ODuGk8+CViR61c%LQzS3#L^ z<|%GOOx3BUo}0M&w2;&6S&!Y^bRd)Kj<)u;3?S~gfUv?Qxeuv8TTZFPwAX0FRvh_G z3$RJnfc>L>QRy+bG3a_skw7okHTy+Z5E%+%Pft|O^6e@%C34P~m~mVGn5oLXL(QDD zeJl4+ktxt*IPdvla|mV*9hc-fCbjzys`T2M%RKGUd=BTbcQ1srSuY$LTzAOALT<-7 zp$ojpDk7-Prc9IDrhGZ|%!vPC@YqcTuh!o>XEBNGgsZTf>snr~5V~)TdsOBtpnN1CiouB1juCj%)zj*H zq7h|Jt`Zcr zo@C^-;5zfM@G0!COOU_*bZ2zW{DGklJ!M&wN<}sOc|29qVRgxb3MA8*vv30r7ooyl z7nArzW}(*P$jdp#8U&<`VOQCPj_vPl}~%P(tc)TQ`= zo5X@)L35!7#Lf@gX6GiHpa<^4nPA(}2^QrXx}y^Ohx$dX62y~9Z(NGEORGQR<)8Mi zaPt;lAUy6p-L_c<9t49ArbeZO-kosOu|Fu*kMGc zGG8aWn94d0v583mPTpjcio97~hjvKE+SC1txI|L z(*uwWx3_zs9|Tz^AnVHoyr$JVmTy4;lRqAQ3i=mZPCBucW5&yDd6@ZF4~|z6=?zGF zvf4!@e}Db#0fU#iWDuN<6>x}nsTi@f?6zFfYeim3J^nHdfNhxhxcB=F z1#MPH1ChnViA}k-^AJ!;cfUTa(}{q(jk{<6L0VuqNXKq@VAjVNBulQ8WCyBlzgp=U zO$ho7VrgG$m47hWg_rH33W$Qo$L&{-V*d0!;Zv92JIhKF01W!Ck2mv6dV0EM`|^OI z>shV7osEqRJJGlG_;<&ms2D8o9m(Q9nsnzHG%ooOqgFDcwdk6)J?^#HTY@50@Og;6 zu1XIpH)#v$3lfDET8;T}3^BUoPf(NyS(!;`LP}_Gjox7y#mR*Q$-Wf1P~yRR4zL_A zQWJ!ii8yI;>AceXfFiz%uKim($ztuKVZnZ_n>nw>Ux#L!M8edrX4bG7=RHDhs4*IM ze@L2avm#4yR$Up2goz(N&I+eCL2k$-MvDs+^)vFij(#}-BY$>Q-1Aj#OpjwsMpB@@ z@1`!T2FoT>_{(|9I;K*kh^m_BgP2GZ=@~0Nbs#cmznPnz&6XKI+ZqOr3g(8IPr|d! zI3p>4BL=4;;E7lxx(|+z+51RbXpK?((p@VgDXrnU>SCm+nyO>&*!D9{R|yO^moEzr z-$A2}zg=wpJaJ}ENUnbOks9oX)DWZ)d?IWXSwnum%a-`Ze^o&=2N73z$H@NHwY2d+ zj@5RBGzRw@Em=c&b*TuxG)yCuG`Lqmxgu_o)pz(XF(R-{ei&`PEd^5)w_OnAt~@R4 zDwr_t#s6?w`|4Hg2PO_nESgBmTw~**bF~0RdtF&{r+dyNHd0b55j!$7jzj6RGZb|i zX#|h7v_EJH{ca>I_)gCr!qHMV@d-!ax>huM$oHIc{n!qWr%>Cr>$ z8o&O&9~iK&7a+x4F(5Y*RYS%SzaIby5JlZ#jU}Of(>XGESGRw#$nLyo6Gcx({7zLK zUmV@mh};2EeZ0s`Jg9mr)3`2EBpOM@vS<$y1A?V@&sl2o1*j-7>j!i4@JK$$3IMV_ z{uhu~AsYTkS5l}$qMo#8HI~2tgIyBUc}ysc=%!`2oQ$%5K;3pF6Qg6RrA>lr754w3o@9*fKuwS4S;d z`mKiBE-g9u5-*|PIwyAA5kiNhCE8!k@7s8A$&zIqT3Nz$onO52RvJb z=!I$*jk!dL=ML(w$Q;o=EjEAQ^Zoo;XVQyRS0O>{s$)w<$-OZ_5lIJD;{|Il7L1G{ z-Z#;ThDR|V48INFcW0)u?|m(B;P%pZh+VL0xq7?h$c4WoK7zo#1TM?b|4)f3OQ8}& zC1BTr865*IH5gG_TUQmxgg?Wc9)M9?VC(Ur?di(n(5vMT$VeZf9aiNO2@ZzNP;ENt zGDO-_wcJ$}g1uKmfXgKN*UB5-r{xa#k{PYx{KPJB#$UBP`PlMfqfC1%4XI!D4FGpc z{am^-@>?1@`v+PN+B9dNjkNWhHKpet8S|1@2#`3pp}@O%DJ&QLD-*B@y5Nk z)(?=x0_VW?1)Li@W^A;{9KB;3y58Jrfl8q1s~zwT0ju__JO;%_}UQ+T&TPpN8~Sm^9EaI<(ziIoSd zcfTscw_q8=o>RR36~kh6nK!eR42tRTb70RYC3(><+S&<36+738@PlZsR(Wf06``m+ zp*8Z&O=k>f$|lA~LV*d2L0>>X%tchU{J}R9K<;d7g2m^!F@6t za(8syySjVuHJJ;u{InvPAKKtX&Ztu%;$jX>ca}$fd<0Q4!DqnV>}K0F;ZtXy70S?4 zU*$b&W<{-Jf}d&z?8$7;L#59n;HYVENvv#flj>F8gTxOw^osUa^VK}53t-`2Fyp(x zXWgkRF#*w~zC~U2nMwi(9Z5Ax8rShQpDAN_ux|EGRezCk(85QA^?3{cIJL7mRVXiU?JbAGwtgZ~Hd5v}{xa|V=RCW=S=j4Y84YK-h zWL;Ro{Yl#SwnV0#esTTb67wj*=!8;<=#cXy`+6^T_nvz^oYLu|D{33j*~2V2YlQMG z5dR1Z%5-%Q7IMi(uNjJhPPSGSDOkE$H}b5`YsvSAtFQ6q@G)HZwT9T^+t*(^{awbL zmb15o!j|dvU|Untk+?3VE7J`-(_a%tNVP2iO&1ud7w^Cw$g@S+jv(KUb9VZEN;ha= zMS_()&fj1NHfPO0bAm4%^WkUaOm!Gc66`7Xw|y{@l7?r$bc%pq_&ZNBM8z7L#r<%{ zrSA`tVseJulq|)@wFVgzjdsd9L~9Zz;g*8=__~nXloitIaCCTRpRqL}Kb9DJOGv|e zuH2lK-OS`bBP^npnx(n*ilHsnfi0l^nCXK$vH~MiO5V}?7I<7Xl1-$UY3K4Vz7%9| zveCl5vmIS?5a63&?#~eN(k}RXCPj8{F~T%0(j6{)M{I<50b5VevIEAm(NVP&^vJWl z?XFQ_%}=zC!&wmie`+c@i=bb0#o@Z;$fwelojU8&H(-HApJ*Q-Iw2SOp?c)7JGVga z3=8>!*8UpKDA7F25dCI@3KWRUh13vpoPrgd=6mk%gJ7w_+z%*^-m>2BUS{1Pd;23& zNtHr(bzB1Lmmehw->LH~+)Wn4)YoiRI|DCe$FdiM0g+L&D62P!%%v}&=)vTcNM#1So_O>a-!@Kd=#SQ6n~oQRnF zx8W_YZFS%N!0i;*o2nx%#Nc%T8R0n<>$evR-MC$?B;tU`&X8}VO{v~lJ?&?nT$?=h z`w=Ii9OI$|y}uw-ugj>V9@q!6M@`n|-7~?*Mzx$+*DiU4Zuf$A9L6dqfzE}aPaGqE zj6-OU*1=27QSc=~xj|UtOUIw8A1u`QLsmK)j9UV+2QNou$Q}KxYxRq(?eJpkcNe|z z;m+b7muS??UYj%UnC8^~mRna6?@z$C#W)%OZ$Lv<;O7E!wf$oFr7at~-qB8GabHY% zalnY&1GcJKo;YwZm20CJ%b6wu6d4$R2*z0FI5o6Z0z^scNVLvX%+d=`eg5o(!@Hl9 zelZ|S>F116`6*Q(UIgWg+K|OSXD3YXpjk z^7vQVhuOfIj17hlToVA!`M}J6mQ}xLj||s0mYAyW*Gom|ZNrLjWqp19X9ouu8p-;( zNd!At{yZPqjr~%1#sjfyfbxsz0!@x$tc6Oy!zeQXVv^-W8Gdwcf7uzXj=TtV`TCAe z?el!ZejT zBI>D&!TEvzhKDarP8kMN;ku(v;{<6l*2jB8L(wUqQ9}He4n42bQnZfvZb3Q= z=X~P3^m^khHgsU0)1H`g=S~- z*|Q-4$3ClA<-FUqc-LzVcSE`%Jh1^}eWTNao7}(;pRdH~cO`gXqj!!+Y~RLC23Z|5 z{fPrMZnCcr)umVhZoTlIpR#&&!xS0E=k&x&dw;6kbQR2yaG!&{qZUxn6UR~c@L|Q zdiQmj^YI1^*I=uWR4}RMYMh3S*N2}H-x5TTauS4fbHE|)q2`f6LeZLx=Al`PW`3*r z*7tD03?xP0CG40z%{^VVZB$yv|F;kXO)7^A0!M)B57;XKhuC|s_(V@thYSP#axNP$ zcOYSB3|9V7l^-T8R4fe3;UX#MQ3=joUN1{vWihjS*>iGg{VpmWA><`4xN8o6{##O!%X3Vr6g9`{_-Q+w(w4_9m^SZsg)eA$7&h>TG8ldXA_9 zhM}@0jR~{gF*j3YUMx(ZIZnYrt-5v#E6L7&1wBuAS&!=3HrdN2rv=}|lAQk7cF8y)UPdJ& zLnWl%McQlPsqClcvTMJYi1)hvSc-(OW!sUAj-9e0iZyF<#9dbk2(z9BtWUj@JqtWk zZcs*1+RM}IdA7x550Tvq&(cY8%n?A70$yQNS@U*M|FxCsNr+KHH_Pl}i@#wsDsIeW z%|_XiF>cj|zq-meWs#2wP9YFhlnqtDFbOPcQ_p$dEl1-0e?-c`&w&S2i%JO7%-|#! zo=V8@_f<{Anx@X(%B@h5l|#Lmmd-*G?9#a~0?pYA3rakOHx0afnwikmhkTI-OSR_{ zv@aokKyA6;@dd22V4bPf=MKH1S=*dE81>~lY>vn>0gx+s`SouRjHr+99}klS=D*IP zkKi@B7fk|NG!{tw8q2ZCclJrx zAqg#T9`_%JTzr(iLM5FeC^%EUb|(hQvi=@{~T~zQ`&*X6|tk+zg4fRvnoW9(MK?<9e=Vym4_2jq>bV zV4uAG&R%(2Xi^6+c}10Fc%@;2%aT>Ta)FawI5%57`$drmskQhp(X;a3jH^!VhLm|f zF51wuQ1TX_Tum)AeQ%3f*^<9Ub6tGZOWN@q{Th)A-0Cg{y;3S7@`IFcHyotv!*vn14G;9c!c>a5v(&q0 zmF`w`8NCz60>)ybcY95jZOxy!ZKI=v)#mKl_W3fTM-02=nO2EzLz6G(7t4}kR_Vn<=br7kA0zpCBIc? za0rY>jPC%^TdF8;>&;=MF<&WKTyUgKPaMHInvqqyHS|SHWM>6qtgWay(8856_ zHWWX3iY4s)%dIs``g*t85-u3-K}P0dLC?(N$n)PTcLIUe@hHMglA^yFOfVx<+ch9x z91c(6u?;TQz^P(c1KMAJVgmlepsLPs8if~sUDj&*$f`>1{}1}c>j%p(bO7LB&bz5^ zXJU6seFsw(p!gD{AKv8mckLpFrK~1tAhKUznQ)}VaPiy#wj_WnMX~ux%?XNX6~Nio2j^M*pvaCKOya=)xLo5Q6uCG- zuC`lK^>-tVM!d2kb3iUrnU5)RPWT7>{=tEo{JSufmUb3_lVrPFlsTsP>IJ9PGFc;{ z-WKRcSKM1Ono{Oh1TD1HpFSX~mwHVUI3I$*0{h0Y)N3jT^Ed&jUfFiza&FE?XJi0s z`HtxRGBM>0=hF7HZvVkfnIV%rRsfq)iZ0HRW6*Oq2zh3ApJZi8} zc%m( zB_VwkayUlC&eR613WS4m)t6chEWb?Cr}>z)>uZKI=$pRpFQ-CW5SIsk-3nx2?R?0* zU`T$``8^O=DJY8c_|&nkO}}Xq5bN8ql)w%C1qHfHWN^m7)<3fZ{GgEWbZ5}F#wy`` z2$(b}x9BGA7h)13p%gR(3m3WS7P07}3eYPuam>nh?A*+rtnQ)WZ~bFCkXv3oK7iEC z@Wc~pJsJvvqMD_}W3P&@Q^Dm^ugDFZ)xlV~^z7qq-skqnm;eeflFUhhfUi$)A}xtnJ}? zfj1@NwH_p>~Ur(ocVN`-1ajL z#*pi7`04Cv{&fz8HQfW%HR^HdrmX(x^dCYM3l>84su}sM9|qyz<6x$z%o-ONmZ`zZ zh-M_3uzs_z2r96_*J{!l$R>^=K)UYR`#z!4sC*sMI*xXX_bR~kbA68LYlBN_PKFbS z_l^Y1X&QLOz|m4cVsn_Fr+)WBOy2x+0>0!+Z%V&{HtU+#gndg@Vp@s~*dd@4C|gC2 z8kW%z(XdCm&}1-<11Pd8nZi;SoC^fgbVvLg>e)EFlS)62yJhJo(KzKi_X0lhC&G>) zGn|#2scw0nQydKInXE86g!v+G?Hx-c9R%|#86pBVR3JdskO?FY^c z7TIFd+UyB?|HmpMcGf^~qsb_oalD;iG`*r89)4VQSpwM?Xth<`M4&;AZ!3!x_8}Wp zLclHM_vc|zj{!L;1vHb!(GTuN-v?>SX3LJDeXZXpCq|PT&yprOYBzdww>)%O4Zl%Y zH^(e2EiOin*-E;>#NWuxRu5ppcr{=}SL!k+ke)*vFgT5mZ+{Mtev>Jc8pl0A-Y z|C8?9Xa?_PA!X(<0T=gFrYm3i`S|>M!DS2x)N$kETr|8ds)n&6ptn(1>LNZ0-w!N# zY06-D4~p$Yo3V-aC1yz=F#Eyy`Z$h`9evX8f>$vr6YkuapdB)Ai~-o$<4n#Bd*9iMC82H3(7n5skLsGa{<_y zH_bm1R12>+*8QQ`^cK(uFNF|gwusHS;^{&zx?PVI>Krb9om`XY%oK}C@2N9SF&Cv< zHP#-*Ot}GRzbWzl3_?RT*SGy#8YB#Ish_K&)G!wR*LB^+-UvSlxf6ST!HP;y66(z72Y z2Yj!8lW%%F?oKjo&9AIvr!p`~x}R;be4Q+&-KbY@u`L|`veuAdq1WwHBa06YS zhRw8{f@`#BjUI=yJ8z)eEK%zb%uz|auIAbFUgqRQvV9jY`hJK^cL9O*7TK$-^y}Ys ziViLm%e56sBO!~4{Jll~Vw1Y(HWNID!A!S}a8R4|)d5jTzvk$dK7S4jQBnCGQ7kI= zd1x(GC;t;Rs5EHtu}Jvxq6=LT%-xx2nQ$LP8K7=dQBY4^r(UB%BAC|9Xu0);V%PV) zY&@2PW@N{7ET^~XBXkTRVwpLb=as5o+UJXQ#SO94g{XA+AA!48)*wwiPga5OAuO>q z6**^B1glH(#4sQ7nzyJdz*IFa8AuwYqCh0i*aDlTm0UI(??c9d@i3@XT`LdmCX#}X z_&f7#q;hC%A%omrbHS|<3`1}hbsz@is0h_Kec4{SLriwO4< zYNd>%3=>-QlbjW#x|-k`E&q|y9vti{Ga!QtzXT3gz2QFcuM1TAUUWyo|I#G)}6 zwS!Qyi~{QSDo0^|ZZk{$y)9|N{7khLtN!~TKBT%hFX>bAd6aj{5p1pWT$T$cnszF| z8OLEq@id%~eK7dpRXod=AOnJ5WT8EQ3ZVk?Jm(T1!J=uc2yCgQVq;#Fd{^xd_2V2( zJQnr2&4p)5CZ)n%|FgCv&KC>(vO6w0UZwsy&ZdA2_2ZA|Tx{k)hhqont|ft{nszotBwmN@tCcX#%yOT`eG{st5F^&>6ewt?;s62bO`e{!5}=r~~3?{;cR$y5_%9sJto@#_><0U*o~$-3)5 zLHJYG^>>ZKI^^@Og&S{x8dFq9`t-?x2qeMXreDg{-dsO_>yEDhKhuXR z&|jwVLBBkB{{H8uGfyGu14J&+V_MZsu_u`2^s3qv^cqTg7e67H!Hlgv0|_h(@~t$q z>M!ZE@J#n+XJ@|vKZEh;xq@r2HS);pcc|d);m;Y|#Y78YrddahUHuW`{3)20$P;&{ ziq1z;>U(eoT}m3&JzIb*!7RnaMQ|0W|GNc5Tm3+xV{%-{(@!jUm5II|wY6RE%OuO@ zxg3v|N!cUL^Nb>&X3aIzMmDKVFDX;F^eVnpnisDqf{LiyhsRsn3hRZ6btMGdc=J^| zK9{iNUp5}fc(?hRaH{u;ak*-y4QImM5LUQjhXhEvv+AvOfj^VD{5vXQvO0lNb=K=g zy_~i!$3OFXU42f8YDB`&ViZwL;&)KET>@NA{ZP_|^Nz+j2Yb1j-Qf+>S1beKmxqd( zmV+!Rv$vBTzEkVG)Y(*VOfKfy+}|EGix#6No-8m4db$1Ifm`uo+VGYlU0DfR;^x6_mm&LM zo=dFp>(ia-KzahzbbP`HM0eg+9a;zh;G7ES^+JXaw!f`-2h3goF=}i6KMy{z|CLNy zCn7G7iS-I5qYIw}cnkK5(lPb9M4M0hkR3Zjy&}y0)z}FTk3xsU<0cCHFaxy?O+( z+la25xr2;2WeUv&!<#RGVb6RHNx4kIl*LShfgwdaRT zJLLYB6c6|27%gb^W`IY^1yhk}Rl%#TE)=(^JDH<}TY2LC?z2&)0?oAA^Q$z4ms0=2 zSVz)tC)|KL2tQn16sf^bvO9l!F5T1EF{IJ2lo{qFls-DjAU#gO)#pULvpYfz2H)Oims8?ttc{$lci-$9t@#W0dA^zwrq2;?*cZ*)@PagNzju~5E z+7-@x{<*BZc%H*QT3YNZ2Q8`lt&iHCp6x5ZdgboK2`H@3s7@JjpNXR@ww&UqI(8Ft zWL09(wZKGN^Z1-}&w<$(Sc`h8dONM@M2X1+}i z%yHzU(Xc|{C9^jYCPcDP9}tA_TGG)xqRyuQ(BkXg-O5TF!sp_Skl&QAMa$P?gqeg` zom0a*L&iQcd!w~Tx9Q`jc>H}H<lFI9fwdElllf*~E$raU2*8Gy=6&yj2qgOHn|y z0tXF8sR?7R;4rDfQcIk|V_j^weX!(rAG{dmO53;B_@+}XqZOcLWcl`!rKP=%4O4$L z5UpEUg#LU;UH{lX(Rcli-r62Q9|Wn9IHJulFBgY&=_yL*PV|kW8`w*VFtL--LVkfLR8Z_vzxpq_wnQFfkWXW~Zi- zu-r0$E0lMO!g|F9$eSZxSb+!m4K}C0#!*bgy1BRrZ96SG0p_dj>T&Qp57ahuQG7up zZthw#wr!PRCz{~ZHPuDiV#WBkX_@-tL?!0q0Rt`i4s}enz2;NOb>g2~>q5YaT}xNG z5pv?57QSH>P#2jB-`88_eqLO@fUG$;XGy8=9?NWR7Sor1EB&8{qv<;Gw_tj&V};X1 zna)!qG|kURt}_bFdzD&}-4Q#-7l&dS7i|ZzSPtqHU|Cb#Oa4qTw&>K;*2}9vfqDzl z6S?CPj^UMZQkm6`zgOp*e3C+kEk-yi9JL#Zc*Qvk{ILjkF#9m$I}?b172cw~SEGT! zhqI?#WZUrXRtaq#tlke#+vBdMRdp-V-4Ynv{*xiI?|z#gE}Vg!R>Yv4sghai=@%j< zdUF984kux=^-HHTiqb !#t?%hHZ?@bta7_>6V&>|t>sXAOD|pYSX|(ZqaQ6QaL4 z+@~ZI{iOOQ7H1wePI3Zz1>;Lj@D*MEa)By@?-lkf7D<2D+U~25?}3!!j?NlxcboMQ zUggv3fy5;fRl2bm8Lz4=P4*2x^9MH#;w;DJ#F@gh(@puGb7Cm2BHGT&xx>Ig zz=Qs1TdP0BXD;-__SF9r$1Ss`TozcWtm!cIm^SIw)K=fW*6U(s8Q}{~1TzF+ zlj&{S#&=Y|X2@le*^iInwGbgY&_47g5sI&vM<3R1tS|2*0(-A%FaVnYYhao}PYZlI znqO_3fPur15^X$iXaf#MDk6JakjVVl4D%J-ch74hJjLw3Ib#Iys>7}*q}J0y0f*kS4IZH_c8l=y7(8v z?eUc1{f%N#v%B;6AXb&`f_=p#3+Aoh+;q$=b85GPomLhY3Xx_E_v?e}-y9%48 z`}(|5?Oq+)HUIVR8gs;NLB(q)>*9(MEIAJ&1C{sHRCEkHs-%+XTl@Ma2^s=1jBVOQ z_2p?MCMOgaf04N_jST3$Z+CTc{V2CrTbPRy89H}kBOM?a*Z2`j!84HWq{^zSAZ0vx+huBQTwv$9&;FUv|7W47FewOJn6q= zS}1PZyZQ5OrrZk8)ClbnXiSqgN;2v?dfavEiM>3)_tJ@DVi0;8XaG7cC6L9RlP-H%!|{xRG(s{LjG0>NYu1^s`L#HBRv&&^A~Ng z!pYx@_|LZ}onsXQ{kXpb8elp(bx7$lObF@ygs`F=AAnlGnecBO!Oomb*V6nRe*Vx% zqqGQqG^uFRkIUAp1UtO$oYi>Jk5cB6)y(fHs;_*3FU9%QLs*6^R*YA)TOlGr)vT?h z9t+mTgmV(k=;@?fzFXbLpNz00h}$Werpx#&3Ga?=XfJkhF?Bt9GKFc<+jm-^JOzV{ zInyTT%tiZj#;QqeA1da`XVrBobdsAmM?wq0h$QPT z+7#GT{HG_*#eHPZrt43{k$Gy!x5Xd394VeEO0v<{ta1N=UHZ7Syc>Ac_WThA-6 zS80`_W?30yQ1L|1X|S*WWOF8F0@ldAl#I;UUK$` z7=K(dtJ29Fv3cnJmtys*P8upRww|TZpTkT#24}DqO4kfVp=a8!vavECk?<=VBx120 zf_aA2Ry6_E3ktlE^0}iQ0Ao#>MH4-l!+JVU)*xZaV;4__eVtHu^nlZZ_HC)j-0_$6yqNf|YC!tAg2dn=!GNWl4 zDO!5Qug~D&1)4>G7a zf2?Kde_3#ux=5>(G>O@vHEN3FH*z}R?Yi&-Ba9#!_1395=V2fqu0K zQhhvUzgJKu7XR1>!hD^zbz9?eyC{v#g|ZTlF9SXN5Ii`5bB7gtUR|Kw&lSr`PDh=| zkzVo91|VFQ18VyS^_p@B&cn{hH-E`|&R@u-kM`0!YpAWA1XT<4CfCf~j_&%qyoK)@ zhU_z1ZSgN+>kJ!|wa^@v{@co=N7&B>6;7LSaFtCxW8T|uWjv(DyLAMwc12s4!sqF! zH$re544ud~;;aV;s#S6JNp4M6FhQkW?m6@3oGE+OZHm?gP7TWCdBL3*Pxd;d8nN)} zaLPp43&cLVqM^k&BN2J4jQR>qjsRz#=a zt=cQ;a+7mXN$RW6xejVb)2%+rd2FBM9-Mjq`Jxv}EGiBXLV`JypV2K`T&+G&A5S(b z6>@ReyfvuRFJCwWVFBP-VfVD>f1pKE&Dc6udZ+^iONE^+{&|CyH}`$?2k7B>%N+Hyl?~Kd`2U6jtD{ zxmG@WT#jlMHW~WX*wWHcK$E>+*e@jst8M6<8Rqe9+*Pg8rb)uvBV%_PXIf7j+KsNY3 z)zeeK#miUkJ;@GX^UTW|jXzFmY9vDaVHWLtAw>QF0LbC5-ZzOkBHhVnwb}fXRGz6! zXE|kEJBWUY+l>sJ+<*I8KIcA+0klgG?t>wx*);uA)a-X-VvnQijq@}9_Y2j3^(Ta& zc+T3M5p0~a^j5=uI)E}DzhwYJ>`MVORE)Z`Ml^;*R2J90P;BTlAtxVntN&kPW~5~8 z7dvkCO`=ra)7IsZN!p%y>sWMbmYz~+Nt6$>Bf=lPrK__}vc|}J9uc2MX8v^31)nG~ z9G*crfyQd9@58?&I<8G1Kt-xwYc(*(jC?WjFXw<5e z6n{~=hTc*f$o;g~gVjNB$Lf*&7?S(eQPeFz@{Y~xmvh!}%b1P*=s>ffrq_%mrTn2y zC-$9%7VP=<*^Ob1wur}Ro@yK14_NDO;EF6XiR<^h#*Ju91O?9=>x1w%Ls65TzvKv^ z*7d2>E-IR2$gek(pWO5@*H9r-usSj|vlFrqLT}xa_H|J6G;nqg6s~Xg5Z2HH^Dn^^ z#VE33HM6f_Bfq)om{Y%bcam7O93ZQc>crwnGkk5jLi+Wu;>(Q|8CLvxrzxV6ITUt> zC0!A3dvI?<^Ii160xTsQ)7xIUOx~>+83@wupcwIZ7z;4CryT9?r=_LkAugk4XN#r1 zWJG}sElvdGKLqu${bRi;6_%>emuf4hb__rFo_L36PdR)BP6nVC^q6fX;W-1T_Sw^z zqDWgb@tq3w58ED$O3tbDKdXwp?ZWMQKq?Rcioi<*$&$kU`mH+* z@8w#uS#adFX#Kd${VII=;yete*SVk4vn1_(pWpGjtvx#^D${a{6+_FmU?J=NbPuA3 z#6mM+7N+kHUH0p*>&oK@gz7^H@S*zJP;nO;EC(fm_8*p5)$ zlCAVV+{pfyoC5y-`rreMKhxN4A)8Ik^_B)v)Yf6?k}%PaxLP%|hqWYUIzK`SLKFiG#%2boxv?Po7Pn zQsXDPEk*i(ElVGYCaC4Szzrj?IEv``4UQD>B%FH+85j%vgs-Y+4br5PWcM`e`+_gL zAXiWc@zE%tO3y5v4W9hubM<`Z!GvmPU%lR!Fph)WD{~#9%na)lq{WeQ40AT>f_aD! zMzLRijS&>Qt*1Kbh&AQt|5&^F$Yh99r2x{QpmFl(!S*e%sEpFeWdA&cYogk={3_nu z7rK^Ooi!H9uyqluEv4s2s2I(38h`qW8q_Jc-<7rVD!z6UlgdrtY(#}SP z?mo%B=uv;Iy>4!DNe6F~wWi74#9X%R?Rgr0>+sTX zqp1`W1ArC_zss6TNX9fnfD)nZC0nyVrs|GV>dU_oB>sBtKF2NNUEqkfv!u^jd%Xd7 zRjyzDmI%G!t9ndmT|1C7GK!zT#(y6@qlm!&`8Hkh$P*TD8m2?Oq_B5dRUhhRikMP; zzjx)WBMh-HX0lk*rX^3(``z|wUenCClMF@a%v~ zeN{HNRrQ*W9bNs0LJg3gN!l4>^SkNqygb4^&_}j{#DEZiC2mHK_X-G|JzHCqU|L2K z*ZEYfbN6vx0W@%FZT$L;$t?bmWl zvcEPn%5CsJj?OZys&0$IhwhT@Qo5w1TS~e+B&E9rB&9)Gx{(g)F6sK{4(aZWyS%^U zk=XmpHP@VDyu*j^E4Vo5Z+MnQkxrxkty2BLge&NX4LW>!$ zVrB|AI$NpAt%>uWj}&FlK&=(H9*(;3P+5}QI3Ry9@vC`Q_J?UAsUek`dbVh1ed}+P zi>&~t_bLJ++wctqj0eCQi7dx4P`ylRISgdyWlFj;PtC{@rpTF^o+{oE+LKo-1;VW< zy%JyOO$C_cKG{l3ShP-~z}&(Z8;urEw1m1!Xh)9-ZWL!5gwYrnACRrgYLX~DlaH?M z)$9rQsk;)ptCwt1-8s!){0ujU9ZJ~S|8hIT!r1d`F1`6mqam9#g3nXY!MatG+V(sH zc7B<2G?+C!dgcuo-S*PHOUiM-DQ%C??mxC!$jg7>ZjBL;jBhUJG-0MxxlD04(d23! ztgcQp!|YVSKnzc>_Ac^kh9t*U-jQ1ixTz5tjy(~dTFONO)Wlv<$~_C?C#Qu$ z<1|n$$Qbxfv=td zMu{*?kY0aKK>AvDcdy(RhvkdegQ(XYMFJ}blp&tRS8JfcGwH}0sz;tft;z&SAdr*% z_;sa0P5dY+V-M^+sF>lk2+uIrSAJ=$8XW!H4}E-Y<%js~9sY zw(%*k9N$);xy**QvOT-|XQNY-9)0lQ&`hWY4~b4}j_7FD5pdP?eTG_ipCRbpvy|5U z!>&mTt!}-Uf$r!*DGa1m0eA`!thn-#mY}H}#$fUZe7aQ=z%mS_Y_d3Rz4a9!do)s4 zTU0KcX$OpAz?phOL{1f7+!k@8M*Gh9caN2^o~Q(H|FIrWnFanwN~%fqOl7|RmB4ew zrP`5iw|S+42$p9MWJkBG6jI#-4{YMbDAx%3grGNJA6Xb^%d<(P||EwHbv4#nCx4OekmOgJKorn3wOTSMK_{mg1kK+aJC>4iZqNJ4Ycr((cAG@Kv?3=)R=6EI!F|t%d+QgL zot@~LZJC~GdeaUy<^kE(8c|^rj2{d-;B3&lF6=I#*c9j#5qYa*M?dqx*!O*L%RS#| z@skx-4VJQ+hy)wZ3VHlmu+b<^Z(cH*4$_To|1QE(r9*`EUt5guIcn4@-x3N&!csIk z$Xb-0*Q8Lixt`4O%mjl%x0d7hJ)y73SB5+TiDCWw-sO$va3@Q$tvnUW(AoK_&v3k< zt+yb?qlKw*dJvXe$#%l~pQTjT=kBb8-_KTL2#cJ@Ne^6%`ACdz*hk2>#@(1fvFoOIkr5a3F}M9zOCxgbbt zpsGg_mw)~+&HL{uo`l`$!?R$I*m~rMaEqKofbclL4B+pScfY9+o%6*TVxxWvOC96o zy?jg7nZ#U-g?$=Gj#Z3ooAZ|c>55+Y`d>gXc&D3XORv@GG`KMbpka%qK(+-4XcVOU z9zea{1^|wpnStw_LP|N9z6-RYrjG!MijFzhBS0sx-?q!lvbE0Y!xA$E_j$M`+&MaP zkYPF}eqGBcY^^7vc!6B!6E14*O?f&lCFwfxHls7)7i*>rHMjHd-BnvXRZE433@1l^ z`uw?iIZs;vf>>H=iS{+5=JcI=OI&EB>J;`SL>jGVUSQlfHtL6f(;x6SY6_gX#|6tbM6)$1?<5)w{gq6+*8MAHpKuEKZqQYk?;FQ8m$_vfw z^!0+ZV{{J1m3jbyefZ~yfayRWNXKxHG2wOO&J zvc0WXu?yVcLsESE<&S1(qE@_eSQl3g7vV+hBY9BfiucVCp--v^z0u}GZ)Y=tQ~)`; z%eWFhHPJ7eirpRn#Bt&4v+}w2{g3x~9YJ`#(#uTy<IrYC!lNo}0(w`_T$BgA|+3o>vPAUi!h z1zo?^fue$fc`YG`(o;}C25@px0YIwnFM$NK;cutP%+kR~z~(C%DXD*yI4LGI9m3gT z)sy}Wp#nEet^R3*eoAr%ycQ+9g0nWe2x8Qmy_!n`+b5Lmu@?7Jkmwtoh~)z^GvV*o z*R$6^O`QVmi*5x(A&R7 znBzc9%*alUiF}vjkFB@2x1Zl@1`*P z%dgXs&%k9u+!Q+japWiPw~GFi+X{cUvK3T+#bY$SdbL#$)_@9i1lgx?$6cv6D-u6K zCilJDFlEmX=#2Qqp(IYG``0&HB^HV6mjnIY?W2(j5aa-%?2q-n&yIi>7xe@}1OP(3 zS5a*#J?%3%hd^Hl=x(WUz^t4Hwe4k>=oLwK!X!U56L>A8^pg9 z+B0Q_BS(o%%UVgcS>KqeLIwh{*Q60FCHqL-^8ffnl?;iT`a5)yy2bR~^r0bKZ35V; zmn~tnM`(H6il7LwW(JlT1wA&z2P5QAsj}Ob$vi2gCtal_#<^kyv*ovIE1?oAZVm0% zqtHZ!z|8zlfh^kbZ=#wgM1r1kxzh*a0YaQL2L4%l>Gfmc@5Lz~6#BSYp#tNVB*E!r zlf@u-V}Xer6<*qJ5(LAwFLVZ!?573pyO<|=+h2Rx3U$zp9}8*?qAFjr+?D({8aS0W z{Y#@1v^WNpA3&(u)R)p39VWaH6q%&zZZjy@a)1QFfZ`m5L&!`JifvU=qf3BFu&C?I zHl;lDixo@$FB0g@00~ma?`1g@hYlpGeQoTCX3>_8j4(n~K_b5x5vl5@YxBAPkw_BK zlY>GgYPJ*X+!;Ed0`yZvpoNr4O&=Di7y%IA?X~=w%y!R9FTaitWFJPX@+M^frmvx8 z6=SqDRi4J=(lZm_LdrBMmuldQu$2ZVwI+oW(E6-S3>^<{!i#z?0=bGGYrI%{LL~Lc z3a<2!-F?8a6ugK*nIBtz3VjfaA&?gQ^*KhD`wF*xCtUE5YzQN5vtbA+;l-O=(W-Z>tIhAYA;Uq~C}N!R#NndfM%~ZxKFd9co&^qL z;ME2f!|zZT3cE9h|b9saU2j?bEQPK|DpjC)C{mtwd79Ycc+(avFAi_IO(rQ{d9tYydeN` z^-fpYz$Q1A5ExDOU+cdt_vk~za$usx4oT)I?`)=@Q0GhMi>2b+Z(g&^!%_u*AOadk z5X1+TuAL1uqU}AL$S}dd=`stj1viKx?;Y_%f3tyiYJDmt3WaLi*~=hGlD1p}sE5o_ z(-d~^E)#_^R1VV72N4Q}g*Os|1ol{6#W{s z?FETtryrwfEJ?Eil|zIUDX%EZ4)a!Y5)ts+vN^76#lodkf0%)gV86>9`N}!qLb`Wi zxMCUxxQjfg7)<6^1n_I%nH%ip80BQcR>hdN*e1vADPy$N0;egWZO+UoT%uN{QNVtU;kB18c4X&+}e0C*W3sFqM7r-?;L+ zi?1yk81T*{7kb7Z1cr;vIqn!PaviLh?lwu%7i|7mArZ(t7#8H^+oFfUpl~;@tbFCL z=KL8Yi9KmIAjO%bSX-uCX_2AeE@bFo54^tIX=CQKeN&fHVs{-ojR|!wI%l2`^_Cj^hD*wE1v{w;TqX;L&0B6)|lgr zIjWz&&@>@e>i{`h_s`2%$3u`u|1Y8-v4umM3TfV{`lscl8I*xqZvBXwh-?mFiPChF zeRG<8HKYutB-Xx}S`%*O`=eP@JIW1Lx*ijroM>BJUE*$2_&ST}D0r(KG-ssdFC;y% z=#VBzvLE6xLM~>=qn|AMc=fqlK;)bF-H-RVU`F7BSRdjKSaaZ&r|F|#nErJb*Ccx8 z*kz!a2=8OLesY>Ts5WXH(ylHmRkI{j`k zM1?0S@tPK9BmHp$!|(1N+$!Agc4yM6?%%SxC!$6v_$N;XsuBQNLkWvpeILu80Q$gx zPbJHZug$y`T)4RYluhkpgwjSyP8|`SII|Nf7S#$EdSp=-&+!KS^gkcc>c|*V$YeF2 z(#~WZX)@0fG8{p>2}fIhw1*8Y6Sn5`RDNY_ylPy=88Jwykgv}^zLd+^BNLQv!NOXV z4yRKMSw+)+CTRpT{h({Pxixh{k#dsdtaYw9197BBU_x3telQ|7PW1O`Lzkj(*MVQY z{FdtHQyiV|7>fgO`ekPRk&pMKhhXzu9 z)f(_9=euk?;h-#OQJRVuetzY^<=8&n+dJwzMldL^X9`N2F1+4+l2@i=9g5c6SY9v7 zQ;84ravDrYXAXs>^AoAb%a{v!g`&Vy6q!HX zr5_GF4Tjl=YjjrhG={+kvSo^Jc{tL5zQNY~%#||?KAMFF;WH%|?+D}Gw_4tk0gV<= zu;>mB9eS46VwI~B6yyn&+QgWI&@8f#BTZiU?l`u4W+7_^bu;GOI|?_bqoO0eE3i6a zX$>hG9PnQ82_#H|)FO{_XkRWCo~nQh zkjW0@5R(3brtBHrjUE08U{XXuD}jzQv>>h~qG(n3^A_>GJnpN7qpIGx2;9Ki1o06Y zp{x&S@#lx4B4QvI-6ltdV zK5LZDv^Dfm_16gUg8UkqGkRp=PDlLy%`+^8By44RvXcVzphzbyyF4(S) z%lll7NAt{o(QhanFYp8WH z+~B%J(`31lV4;J38bC=E@KrXm`Wp79dhOKEw+PN+^q|}`8kfP)Dysu*PjL+l>ocA< z$X_U9YMH=LdyzdfIuG`Sh3mjfB}cr!X+%n?L95Ez3Th%zCKgYrQkCvd>JJo(j;_FG zYwOY~Va=!-$9Yacs02EC&MeMZA_y5#zqEeL@oc`%qldtWTMJkrg~h)YpFp=01}P1> zvb4jlE-pCNuoh=}(xf0{71SAEWB}2MU=o{B3fht9+ck@0L~;_Fb*~`rt~d;M>Kc@k zr9I)I_uUDEl;LL3-q2n|PZ_ZsreSRylP@ZQzhp)_UAjvkzR>@{;k7&4@nzJk%QUx- z$tu2Fcf8D5G{2PHWxWFAqwJD!sp7HUP1dtT@b3GFGyQD;B5ioDZLtc@ZDK^$ZyiF7 zd9h_5O~WnN^3Eg(YCyjNQrOfg=c+e-?}rWXgep+?y_)n|J$qO(pC# zxy$$w%1x*x7+8>_L4;n1(RW12d-%a=le3$X;M$9uge5?bjT|+kPUkBd!NeTSXFt%Z z%%w?5<$>*vMrpNHwn0$ZsQFs&1CKK}{6K(AE3g3vpHxfAiR9~R#nUOTuDroB#)M2k@mGanbHFV4G@wI}@Pkr_l2 zc1P{`qtivLA3hYL*<;wsF{6LwuPvk@beA_H2%^2ZzSfjVA)Q?4}UGKzK zO68zc-YZR4vGGPSAEU2&ui4ZWO{Ly)lPLms`Q!8I;GjP*9kU+7FJd?ZD=sV z^l|(h0UQLa;fe1}n8Dz}CPQec)J#mKmlh(eu_a?CIGJd-u#@ELLL&9H0TtEBnbH=E zTa^D(cz#Q0)ORSlzlf@_QcW|{c)t}7|I5Ho8uvH_OV!y~jW&Z&gV~XE=ik-8mu&aG z{ioc9SXxday#2_0|6Q&2+~7Hy2%=<31)R~4%b#Y1KHh34n_Zx-V#@=A0OS$TKIjbK zHv4l_V74}E;=nrvAJ{cJi?=AsPR`~q(eur{$R_~x&3qbRa8fW%Y-E_`i80o}_}`|9 z{yeN2e=4h=3qR%vF=~_=iB<=VEJsj9xr~U;5X}rJcI9ZWVHImRW_;Rl90+nA*|2Wd z7UOu|zk#SVWee{otS2_T<@|JN3$zRx))p2Bmq`moToxQv6 zJ|5`eekIz$32`|N=t3LxtSK|!x%A;qlQ(Q5`e^4XjsK_k*{$UnM0$ZlDFH)HqH89w zXTU=aG1b;6RIk?@Z4LA{10+ zu6{^#JSAmWb7bJ2gsviTH(~@RQXtc7U*;x+Z_r{QiVD#wEWZ41*TnR(icz*Xq^bnWL1?y^oN6!%{Qr#cG5f>xga;lu@@4 zRa~N!f+L+B;nkbm+jir>>z6(E>7h=EBX$yh0w}MIn;)2*Tj64c-{Rsv2{M_^b}JRH z1^io1x}?=7FbxBxs;NKI7FLP*wV9|k0$&E>p*@ne>OnHICYJec5r)wNgzdIQ_&5+R z;MKHTaEcNaQV|I7TXqYSz>==&?`8Qbc6$5ge;&;UIhGI>AaDe_SMzoaYXF{S`n|{T zUUS|`+|5(V^eX_@x_gt0-~X4+_ip~gyyO1Ru;XG$}vh2~J$7(HU>MX1vk z#q$orjwa9|4|OhU@?pOodO7&}ac|GrzlE1fsDlk9J8VkVg!va(<5cu7?(WI`2Sw4d z>)Pjc=O%VKXL4Wf&Ne&*0KlNW^{Yy%SE2i02mSDad^<`9>dfHzXBAr^!Q}t^4W1lX zKQT2?Aop)25oLge)5QF&Q+Xq{x_pe+Ysvf6k?chn+;$~?c)x{?kra8?JflP|pV0u$ zh7Gvyn2;9KBqB1|J+=oJbOY}IMrE@R@Ui)hSG7*polIptuz;8rctAtXmXH1gz+D6c zRa2asOD0f~5@?`Z?&Ka-gK=ar25Y9SBY3~JHIi;_syU`)YH|fJI~NFuzoVL${}Xx! zT{zX&t=#Bkgki-=1c*;Qb%4e;;VfBIjOssJ)s?CZz(i1{n|`eDtKSEl|9)>R2jEW^ zzVewGjZ$=|%t8U+jrlwZL=#?|d^Qa&V_bY0NvX_u|74T099iRqQ`&ixXTCzIk#`Ap zw@V(avZ#%Gd%h)(F8l1TYJr2Dj=HN-xg)}@`WA6IH~$GDN(2TQ9?jaF@BV?;hRn{< ztn#>fV1a2X3A*^+e~Aw8HnA{p?_r=t7Wyo#428cj*d?OnGR(aV9}5~)ArxtP9liQV zq3Yo+%79u)fWivb;EfW=lwF^feb;`W(9xVfBusPg5-`U^b1F%1$$ouz5B6KFe z4B(q~sd|DR`*!Xve>sYzvBnQ74lLI|8$tfO=GU5X6cJ3gUVB_&20cuAY^2yooM`6< zN6+*FdNt_@#`ArUBLixX3>51?{@#YIlthIm{3W5NnGlc4UpzjuhSNq z5PShY3QY<&3Z7kp5f=hukApx5-d~FwVi5O+C8vrVz198Sy5;t7eSYp&SU?!{I5cYC zGuD@Q+oi2AL9L_vA>ptbyYQ{p0apS3AndO&Aj$aUb-nx@hs}KU@EY{-fWAA_lJ$sH z^4MUe|K*CRHS)A{jp%n;S8^~za~j-jnl3YhEjnp4RYrxP`8lOm`{d{dbojd@^V*|z z-Bj&vo~dyOe*ZN`e#h&S`y>0!>kXbyzH8vutjKI`;`247H3n>%GeuN5+>(XC>E(aYgd(?!?9nr65Lj|2V>oJ#U6B09>h$Lh_N>DO$ficVAx9OG zp?IBJ6JU<$vaNx`A57!aFdy< zTi5-fhj*p@Byu+uEO)m4vhnDR#;eW>2e5zw(KVAj4vH3Jrsbknh_$n(+JA`tn=rtD zhanOF8?F4`2<>j**f-8G1dFSuzx^>?yQ0_9sjwM2OtPWxH1IES*70eCA0t0XMc_RL zoH4SD{qU;x%C5}beQzP%*eMzylWXI1;@DzO0fP6G5k|s9`62SUSRYbl{I!F`&_&=N zt`B05K*9iKaxFh@TalCky7|SP{SNd8K8I4RnQK(e0ob!1-Cx^5mOQ%rr^vrWqm(7x z-&{<;4W}i?f#Vw?+T-yutv}i{7g;j+KablxCC+Zj&M{?j%!tp z(48wVT+il`QE*}mIl&)mK02U!7RS50K5I)6)|&Hs#nSSMxC(1zR5N(|=JLBay3mBR zdxG#ZEg4);C(HRTLBaomm*s-r_=S(gbMy~!HukyN-<>ty$v}AJDu)ww76loGS^{d8 z_GT!;SvViA<|P)^XMjs0LlF0MXtVUIh;DQv2|TeWBH4CzP-ki$r^@;4RNa#vKc(ek@xZbLq}5;PE&hxy(G6j? ze(*F%R!=e;HODsa8#OPV8A>k&r+b;94n*jFD;}tcaS&S$C`*(;VA2~%1*VY&*MD;| zp33B%R3JUlfqUA=f4^0)d1sbmAQSoQc5*f?6js!;I3po2kc|U-Yg6 zT+S}W$TQ#vX_V@_ZjY7v7go$^OC=@vRKeNdz7v*r65NnwW+QBh*T*P6lG3a;06E>g zkh|B;-FCcAv+qk^o*iU1>E$CN@Ot4+{UXzJxe<%Y{RyYq-r|jjL#aijHZ>p@eS+Fy z$QKGKjD>}A*}llx!af~MzQp-!I#lx0p-m4z<*BM%U!!1V6iOX3xxVMC%wrF7)5pfp z>ETaZKT|QbD))W)eo_)$5KYb!aqZQ%asn26ZY}chOh0-}924)+)rysJP=RhY*dIZR zhF-NM_BjNvRPRT8XF}M~yRE0VDf7~>h+g&s3nPV29}9Rcq15=5k}Whe|tzz@J6etXh~Nk z{qAUkIladx6-jojU?`Yw;kw9eR7Mo?Z^^%*y75H5Az$QYdUvkVe2iJ3((q9FuSulscEi+;2D4{{H+Rk7LmK1w0 z<4Ct;E+RPlcQeYdouQ-Y+~{wT(=E+c=n3KrYD4L~RB;m;ZezTg54bo+L_`C;4w z;(9Y`f996*N6h`+UGz|KvbA?8kVe~w6RFmA!`ZdN&;hZ!sC%E)W4HG&#r%T=`O-#8 zRrFg=lVzd|N#3Ww@Gn|7lBCF3f&VcKn9!R6X~j47M$V%8~lUTfNV1FnU}! zk-d#cJ6Yrv-FEMVU%041zeNAW^}2!rvgsn>P1!tFCt+cwW<}+FyJ1IB zNU-S^R{i$010q(4ZuITT*%{_s{$+;}YT;XMkT;x5@n(_{psF1IJ#(0F2lz)PM)n1d zJ!QyEfE>r&BQP26-UDzBDB6=W9w3idT)_+5X>tM@rOq+Q42aj{e&=FA)4VgG7No=W zhfYpZe%bUFX1w7hyiHgOrhH@nBg4W^pp# zVjXLy_WkL4u;ALq(t5&bK<9#(`O^iS3kj}}MPor;m*u^)@Q0N{C=1dLU&hAehLRch z`7;yt%!3;|JSLR+)2%zcnku052aWQ&XR-_D=W5 z{+oh?0fY&sQB!J%4+w`Mc1+>KW0yVxWUmWZ&;P7HH%DMr1CrA}YD?T~T#gH~9?^~> zT0_6n*MM;$Z=wKsmLMxvp8&s`z-NFs582lt7D!$#4q_g%=v*#md9z=#`I3ja)rUQ_ z7t8Yg$_MT|Y8u%|RG{Ovf8<;scq8(wGZ>=nA@aT~DI}xD)k~wWglRv1wrj#ZVb*pX zBzsQ*ZW9@mm+oJ@30wGW)wcuh4B-CyZy$-dgzr2}x~p}~(0)68qDO&4Yi)#lw3^2K zd-HI8*nO$v`dYQ{bmPHx zm!#oyF*uIgztQ0LNRF4u+Ech7V9!5hHO^al+M|8n^B4k{pkK1BBe4*%yPhp8J4xoEzW#{cyo$kh1FWVxr*J<(ilXmmxTd7Yyn3;r$Qd+s${#eGeRgxu z-02xf7{-*c$0gxMz0{u&Cf<0!R^ z#}oA{5{e+q_Ifs}@EYPp7Q07;UuPHkq?G?r%9D)8Y zLNpBm9UWS~KDt?34|`)2?ml4es@9o{^0(L3nVExB>VhI{r>gupLpYukyqj`)6U9n$ zCfP*f@MSaVy5FmoxlbYQrGl5N-NXWuq;1{h4iw`;6l8->4*^rU_k*rSiyqaqG3S8z zQ-h>$%esU@oQQf3Cp8^Rexz~&(_Ur-6u6GJ8lebHqgH3Pjnzb!oa-HUmePmZRGY;kcZOMqPG;$^q6o_5vAYoh4Fb1OlGfa5E-h_; z{{|`)tsP#E+HgO*A=q&1YRo_?l#B)c{RKqwMswLjQEbBDNdsL-Tm+NYB;huUr`+>W)yY)1pLXa-`gXgdfaYN<|T)rX2-N=iOc~1>&IXM zhsscbZ2q4HFz+GNRvKjJTYagapJ=SWFu>E%xsTaKr>rnz?B(lH51D>3>m zP!1p_94s*@&a0PtErG;=Fj)u>tx?`cetTrii7$SX{QkfyWA{S&cymv{Qk?rVLZ#e6tb-lF<;&Co%2L z0V+~VaeY=et5O+fk&PxW(9J;y=fk9>$lLn$Ad%fipq?7}sK?3xGr=W2lVs|cz%Qk& zl7vD1_y+C{uja+;6HOoN)qH^bU!nP5Y%g~;!Y}7B!mm%4elO#%P0Wuf)_VPXLS2Ur z9t?R_Ul^h?M10^Xf==I=O4o7OvcIP%F0CD7+@51@RM5U}nevtXT$8Jf62Vx~KhjdO z{Up{%kmb(}Meyg}^;PKWgAfY7T+!O>R8Y-PUqmt(rs(P}U3(pG4{MqOm~L09WS&^? zBOvTGV!AxW$mN>CQLPxirR{W`33|L8meJ{~0TyMDH~npRGMqWBRahT}>YZw^n8*8; zsncNU9dUmqGX*(iX+*W(fyeFK$3I!pfy<_Vy19!}wGqM_F>oo$B*9=ndkzu06Z%Dy z`DtF}iDfl`TM%VTjg$4x>}v<|aa=oggE&#w*{b+;2MW^PxcJUs8>qDP*jg>7#bfUF zYcN+xm+PHFWyP|_;+;`H?Nbp<8&x1>;VwX;jE;!`1{qD{EbA~HpbMHH*HcWUEMc23 zgKPWaAy6^Lu?xbKeIIYup~Y1I2ex1Eom(<=!_j2%yEZuqX!W1$bZBoA7vP()el%3Y z4lN?Qn(r>3oSXm%{l9xf{65hME!z)p81JiMG25Cy`>rw1RWxUvZ3Zgv$b1_gR*Oe# zCogkmxn87jHgG-htNNTWzr|b?(0U65DO`r(=56dI#L=x>;k`U|)IB0)#L^ykz zqs@Vd{jBt_TUR!sK@`||7s84cVUh27vQRtk@ciIt>KLIlwq5u>Ry!06{P}whs2yPG zA$-4uON7MxPDLoex_F2nzLk5GHy9Vs9Y*&9oyO9mPj$)%qNww`v*V>XU0r@K zD&VdS40PWm%>m6K4rmsiCS1r%<}_!!LOr-1AeJ`oii=R9MShBf9>+pK+nWy4liF{# zeSoe?rx?sWsAa_5zZ!VAVv&DSSVJB!U-}_7Z#3R2I~mUH@7>)zFW9-SE5N@*F8h#O zMCWN`!rcVO2>&YY&oVu^$MIS|Z~M>n;N9)_;DwKr%Wq*9ey9uyV1N0LSCmDpO;`0b zPO<{q;~5A|3A1OcW)5A|T-a+j9KOGAihDW%nX`9Cwd3HO0Ny)^p_vL+;s`)mn#M|= zry+DV8`4Dl@|I%qW=jl~o0eJNwu+>xSyU_KUMe|~xqrZTk>~tZt%P-wnKOrQ7Aufc z>|XY5Y=G`j(cP^cTqscnvGf5EZiy9=5SKrk8`3-{>4p9usTW-AM>gYnA8Fj&p*P{k zcsRr+80sK?V zw_p?vc_^FMISLiR?Qq*vw>EFhvcxBFPtZr98YO?81R}IY4LpvM) zcomUuR&^r)(DkLwfE+y(hzkFu8;Qt(%p9K)9t$~_@uY-~Hc`tJjIzQFhXIdg@EGSd zxcJb+JMPmuHqKvO+EZOy^v$=x5TQorZZdITFI)SEgACWd)_sv^%ZgMBZTqtoE0=OE zPvPoEtQGLB27NLu2+RByZf*c}0C)s+bz6k*ME~yXHBNmwIsVF_Sv2(o3}(OCOb`O? z58M8)+Pr>f-~>TpEe-;J7aY}i4c#eEx%j9KPr;alz-G_)1#E^8zL-!XtNfNjCio`U z-9G;h@Gw}w=xv9uQ;sJIGe*Y1t`51#{n7BiD5y&%s%F8Zeq;oqjRijx(}2_*ZP*C} z$SXGy+TMNaCGw-7m=oZMz4R_qQ=`TX=_|9As+OoflIq5Kr`WWEvjC6j|5 zESJ%B#VeTz${a38+TWcu0MNnF>e$$rwl$Ff$FvHt`2ra#_;WJ+tR+&*KW(&{;TM`P zW%sO0e^Ty&5CQtS(Hw)4yTixEj~V=Br^I>S_V1r^Z`*VfSKO%E-oj#K%Pb;_fz(1)fgG;s~d~oF^0Rh=v^W16~Gx z#y*81sW^^lIQuv+`k#n^hXl-em59C8I``CFm#V@aF}|DTSmr*&M)Z72Xj-*2S8_E8 zinF%>vS7^ZWp&*1Wx(zL=q-gWTGedv#%}&6S@rB3ftn$F-PNM)=;OsuK@E(D7?x$V zC@g}L{{Df+*1ikBSmPH58-*~oJ4aBtuqS9tiOEYatI*FM#Q#MM35)}g@~abH29-0_ z$7qexy43Stm%Q!)6E<=I4@i`2k{MXRZs38MOHd#%9%pgm^n9v4om!y^TEF1ed7#_% z1w6GGZ(*_+u%PZmmqMkB1v-(5Px~`wP|sf)mR7w-(B#<6rTJB@zvqV*Yy*pYE9t7X zS<;QP)qm>ZS-wxO@GAi$Bk$lRG(xWX+>AI?qf&xhZN(aangIoQ%5oY%;!B<~(4b|E zfw5bPg2h5KeLwo+E{cn@N~o4W@895C@Q&rh@4 zIwvQcxD551wc>I>+Ja{v{39I#V~Sq?#nS!Z*|%Y-t-&+8`U3?k>>+1??1FcMCG1m8 zS~$w=z1rbUAO3(0@~6EQXZiylbO+`tEH-TE1zw^ky5i|W*FCdT4g@l4?IducnBIHm zEV4TGP8p3w0>@H?y5lG-@UScR4il1{*Yyu{Hb5zq@|Uw*se~DReLARx(;f5gk2%;o zg=bi-xCJ`Ek%hGu^E4K{3EcZ0*BkohTHyy1u!2vghO1HH1Ax&O;olg_iS93}`H_KP z1=6-W*`0R0^DcS*2H+^Dm^H6$QsACJ)RyKw?jzGGoiV~bTRlBK)(&GWP?UpW!6^+Z zM%!h6>!)Wfx)q{jy?GlmkE(BtslbU#mIjW)&`{cEU;bgMlQaqFy1vgkrDkC7_DZojj5Tz>CkwL=N-ae8>Y6HiOdf(OhAS-Qc-E+IIfNI5R7l|JB-X>j?oaiF2pS|pb=8i?cx?4m%?=IV+T z-{&Vlbs)4hIphN?B@oTB!+z|E_rtrShFlO9!?b&JuaeKwN=2zFE%5KhcQ&~xBN0xo zhaEoJ*cO&N=e3_A-y0=Qqv-_FgHnEmOK^+2utuXCy$ zlj{D23N0%qmYe}YByO1+rEtg~Q7ro!wA2BJoxa{)qUJp z@Wwbqjx^_c)%<<$?sw~MegpF3&OMfo-4aDL`cWThIMr&k4 zkUw>PcGj(Q285e{`#0_CV_qJp2!6ZnFB>j=AjbJ>)wM;}GjrS=Xoeh}*sDYeO9=dt z-I2gUZ?uw#M7)Pk{eZ#)jD7e1`zKQF!RG1lLeTpzmy+UCaYvvLz5#y6HB0&|I2*3 zOX%4EfR}&`An29r-b-ShohC=g6O+`2$D+>X{iUUPK31agIDkLz{IZP*CRwM!Rl(BOeq7uYv_l<+@~0wPQ; zkT~3~0^(=p;|Gq_1K=pp=;!!6-^TXLT#qK*u+&MeYRrMV;Lln$zg zhso=b-=jVLZ~^=YQo1uh59*FR!jo@Wx`)Ned@g7~K1gxB-LBkHt$o{%^GzE$p09~y zXKkWz_B0WrugT>yWD4$0B0#mbeSNI|f0{T|YaL!JQe)g<wy$PIqw{i>j8sF z8V~m2da=#mSj)Cvn^&?^!}|0_fw?(orikR(x{f%m8qIuXQm1*rg~T@VUzE|aFL`Rf z86|MD?xcfoPkJ1q3PP*4E+{R}hqyd%#IQe*fWm638fSDq-@P4Ugnx(w$)paUjw9x0P=wbRd4;LX+hIa#W?Oddp8FH#QDx5pfv^+{BC%r}zykUX;IsLvz^h z<-d_k0Z-_AdD>QxW?)=9avqauSztk)ey9J#Sq_a!Yfp>ELtZ~KunSTdhWjCF+_23{ zy>uqM*3P|j<%Ah;4VL}AuaQ6|p9RSLvnWz8z5Xfh=i?)g_7yuYXd>_2<3CG^F8}SO z@yq2@Flw0E7Z{%XKOVcqp$HbD?xDw$x>G@3jZ&YkCV_E*i7dC1*${u9{a9G2^-VIK zrKC>hczqobhUM91);3oTakJY|)~@w0jxJicMucLOeULtyTzC`Z|A`4^g4&$2GMXLR z;sApr6bweeE~=0`j2~nYv}&~8I_Llb5ICH{Qd-T_oRXi%?dvngzrX;Z8ot@=FEpA_ znR%C0`yh6MbugL^-a%FgN2(!DFf#;kIXX;A-=DqkN*ewaBMpW{d>2I3mtlMC*>E#n z{YL{u`Kcre2yZ9KL>qEzf8ta?qb_x(bY_a5+76h=Zk|Q`9Nht`l^P-?$(aIuEkdiW zN@r7qFI$7y*yDInlHWt#V^FTtGx4t7S;A;1rGD+XHQCxQE2(TnG&=?EtC6D8rCtgk zXoI%i;$OR0APe}5vLE*D0KUNnz+>(VKVp2Q1#t(nLiSxr$-BI7pEdk3UaHSn0zD!* zuDwV-zwu?vj*YE4@N~D`*b+g6GgxXyZf?ozbtt$(2-6tDZHeVFe6E69IS<&eT57 z*K-2@NNF*yb)|9o3+`~PL3dNk{KZ?Fwq<(XG1PH45PL_-7UMuXfFZE+IG+r&cD(hL zlBdnBAyCog5i;|9U_}|AY!e!K$nz9lU&%iZpRn{0Gl5<2K&eo6);E!Z{PsVE#)#MR ziTJkm`n)Er`Z^vC_|tfqbFNUIK3um8RKBzmo#tGoKQ$Y&(4)=HO1Rp})Sx>dc@8|8 z{IH@gAI@8z-`Hs2t;OBjb>QjE)CY6nWA3T@zY(CGc(uL!Gm54x@dQecNS}x4?SPMB zF#@V2If(vSuxVHV&7KVu9zKhIN0jpkXw|?eB0$C}W?U)Ow1Pk`5KT}(YNfb;7U;Jz z-(!8(#^z%5d_IeL`YYplwZr@N1ZX;dksbJx3m~!9>C06p?Q;L-x^1@uiAaR-qc3Bp zPYUH4-luK1HB5o+dV-VHRxin~+kVwbXyS8f+G>`B7OF|^hI9BecYh-|k{KmY8JsUH zxPFC@Der@MRpc8BP!X;L&uDd47Z(|h01>y_bL?{8r5X56LFD@c>GwW5pSU9AuqUzq z_^cnZ{9bq!4;BR&+n9l2HD=1>?zZPX*jV}O2`bLz$M5hoI9pW!KE7w^dI5np)YG9K z4wU}g2}yVEr-~G16sht{pjc-DFwoJ54D=GsDEw1?k9ECHcnfpX8dL(3r1DyZZ!P!_ zuCm%AQp9Q(Osj$TxvsqY|C9s2hpYYJWY(1rgm4G{t{dcTe9WiMkEecBT1@Rv7oS*i zX%#cU@lC<CjgQdliH^1 zJQD?{uR0Q5<}*(;9n!05K``izH2A~^%2s0O{TUlH9?el4DAyF)+7p=j0}f#G_|oJ@ z&!WiiG;Rd3fct9Y1Xb` zgTzy_HXvXw)CJafe`^c&h)8vS-a_Q%KkgB&4jT6J4%Vp-=!osbRA1hP$T1O8G^b`7 zCIyzRXwUDTHWZsrGm(n5EXS3$Pi0${$Zu4-iM04l}4 z3%D-e#+bS~!dwv1eZc#~qGMLeAR4f~X3q zC4vjI98Emu`%QIgg!R1O+dhAhZIW^!CM|USQTg;Jxo?<*NYbee?IIQ`A6@?b19(zT zBC?mTVEQLJ2Fc6-0!-}ykwXT~pU35U$vnp^iSPx3Z>>RgJdZ1 zj|-0KBg5KnFq|7pUors zfILFjp7Wq~fdggc>jsF*EbLzR#cd(bYW$uerUkuff#U%$+zK0hIwI>gdtTCjn%8^u z-_Zy|1si|pocK_TG0sT;?H@a1!qf_>Qj;yGzrSba@bHqzJb&V2z-u;YX;dku5>DK;Xbk_YF&8^nZ6(8&Gc zP0;*13vL!&pJ2B0R^<7vi>Iiq?7-OFriBKM*f;z$2T23GPlbqYAp8|eS#RFcY|UJ< zfGs#~ZV_xPd~WO0=QxXn{RD(OXcheSxepZ*Hd&lecntWF-&hEym^_9+Zp-asTVP;M z*ZLN~FKO?bSZt3XyOT9&LC!wsDT;CfYoF=3B_|Qkw*r+PtQ~tQDm=^^Aw1#GK@4PE z+Tc*ClPo>W`gAC9F61wviHR}uLMS1pI^}FyfCbT>yc(>dLyHim;ucem&MJ^RyM{y5J4y}zHhuJ?5oDqffXaJHw? zg)K^fkC_CaU+UrLNXd37RzrB7Jyw^O8}lf72bof>gU)5NPJ8Y@G8`3CBfrW@OUL$_ zYLq4ZTCy$i+_J@K$Gt){D3$t#xvd^=%E+@2>zlAo@*am<2q#MV{W6&w{X7r{ zO)=B#h>F&t&BrOwcs<{nrN>jE(NWL*YXZ;z7&)1y9v=-2H)f@G7nk&YItn-fL9pUT zC1D&YV*RqCMOIC)_TL5_K@)8L{o|6f+?amQN!=ukRVT&XWm&BFY}Lybnr)gXfxe=A z!G1Eg3v}s)(~5<;AG{7We*9zL4DQpPc1=J+__)kXdc0CkXg7Y;7T zVunq*2g-I8G*`XPX#f&;-K8o#Vx70YTFv$VJSE_Mpcn!v?XNxB8ye1z*JQSUb!X?i zf-wm6#^BV{@(U5tv9InQ0?L!<3z@k-QBfG9zT)}^7~1kjMkb1v&=!)9PYI!>W+6H) z!A;$X)dA}}&X}f|Kh`wPvR9#|g~dby;^uA3;U4_StL-@(6panfmb|r{*NO98CwoQd znq(chGCnTGaZC#OVNuoPJ)K1@WVxdW7VvKWc)jv$4;%aQm|$34g(UE6_dx2ERqIeO zqvIqkQHBjQPcY}x%>jI%8v{XfU{I@5fkN%=F;G!k+6;yOd-39n*R+3!zpkDZn9!0R zo6;|~Sc%{*)u3wJ`5TzJfq5VVUW;)-dX9uGP9F1b_EbDg-d>AloH6aXk|~M7R2AIo zVxg(dQ(!2pE@YxWkxsPl9z zekjaF7$)HZr3a_-X}Vdj)iF!cJec!m~wQ{bvIjPGx*zUT@d`K0~GK>n69tr-KBhoJ3(Ep`d zjUj`OVwdfKn693lAZFpvra+EN5$xBGk(On~0>#Yy!@AXCdR^G!G3rIHsEnAI5RpD) zl)XP9yv97AqkT^2QWT}`&UgAZC%K{)F5>pgx4EA>~azc-5I=}MQ$sv}%kBvVnrp93@S4{G9^g=o6RC%4YP5+KbQJ4@`J zZ}YnBhQ(?9UwgkHF{^bVTkGTRdMy5d4cPl+%_|!l7ROqk*SWzL$&SNoRrf6i>&g6A z8DRz^6KNE??Y&6dWOP5t))odCb}xiSsO08HUE_IMvm@HszcxbtN*7=E>7ch`7ho(# zwX?sUn!^7Yb56w5285>E9pr2M@sm z?l~_16Ko@9W{{xl8xW8?lWc(>WNOx|mg9cD>1U!?L3ZC&3@d?FfV!8A0S_ zUWfF%D90`mQ$7AQoEDlluO}#=v+3OGoRMK!NsIn{Ck<)>#aMDVlT0B8;m8hu0FD$a zaLZp8vhz%kvv02T&ua0*1f;D6@xoGU&1i9XC?>&@X!htVKQ4$vAWIXzx~LlFTXyz*+$iT`iKYf3pLDXf%B#(pvbZpo7pbC69AxLW)&kiRd!K6J9;aS)zxq-6 zHm1L~rPXy{>v$;vOU(Bg|Lr4)VG^f2%2d(8^Dl_(FF9E1L*V)Nq=Evfhy1|=Rf!VP}12`)0NG5 zqUEp`ZJGC&?^WACiVxHpiWtV0henH7izxnOxdwlYCLLY*iTE)pXThIbE3|hL8H3JJ z2>wkGF|1cBSy9K4fP%o|Vy`0od3MC)q{rO&gZ#k91x0PideQrg%;zF|rLbI>`OidJ z>@sD;u3VCP)!62V$E%8vw`&(&-cc`^u*Dlr4aeaRRY!56R9q=BLk>fK8#r^0RJOYd z@I&)=SvT?DL5m72(hZBfeQWy|T+52nXexzZxMNDuW{HguB}JpqKPAV=dAewvcgH{Q zexE*_=RPJy-h+2&NKvO;E`tevy?>9ZblG#g4Q6`>`bXX(%4$~H=D44I{qXvKL&(Sm zHgD4!1b;kVaBNC|jdIP^8U_}8&n}P{&PuS-cM=!~yZu)|(jrZRLpv-(X92ROV zvv07nqji9Y7G))ft6`Gx{MV_grm(L+cHF_D6-fwQj-D=bJzhBZpHYb}+?oEy`L0Zz zIhr`CGM|zkU=Nj@i~0R=2CQn*B2si5Lygi5pxJtEnirJT3Ia;8nR~pZMYM7*)ux3L zG7O*Fmp|GN2a*lR38AgyqSXfUk*~!?2<8^+o3oKQMZt%%pON7kd8YmATCi*h8h3gg zO!dY0s#rsesWLY}_ulz9YPCmnIx;mR+;1NAo8;XuJO;lLqeC2V0U7GAK`qZ$C84Gw3vHUvg}rhwSLCImAd!HIms}J_ z)bAJ%Tcwtfxghi?@&WdEXHwST5FV5VMVYYyNta|x#PW1a4BQYE8n=*OAvnl$F-~FR zMa0UI8cPptf2Mm^!ECK_5UfY|iJYJC!srGp<(ruudl4u2uC3r0f zC2{S9vE7%k!ly?*?;`5UfA^K*M90|%G6^?tZ|{#E>)YClmSp;NcpLRBay23hBu3rd zGZ_s0iX9{hz#1g}DPuGJAx-)--^bE_&)5-GMpO(|@o&U_!YmDdu2dtKm?;9EX>&SR z2${o!Z(Y-=;tU>@>b2DM#6{Ke>^omE<5{M~KdhDoLh~}-Z-MWf8~yw`3SfL#85FGQ zwWd}E;k58i_UCd!pPq{@f4xreghvXe*8W->i{bnPc_5cf;it?0qdj}AVcuAq(&)}0 zdO;&8T$4T1q=0}8WCuVA5Vy*EVM&_-AG<4h}yELbri$s*B&q%Kle`D1BGz-YZ~j4@rPWG3-6{ z>6*~)yQ3R5npe%ur~Wgv5ceH zh|r$DEWMvN@(IV)opW#V^Yo0&zvAnkrBd;K?J&2Eqf%y=vVSIQH0gA7U17j@M8k%d z&Mn*hElO6e(NI?LF5ztbt@EK0K`PDWtO|@BrQiOP?~4-jl0ffT zsWJ}Nx!ZFPkg;>Vc1}Nfo8%W`r0R^QztTH01IqZL^*FCj4*Q=_yMGYm{MnQxL<&bF zRIe=7(oDtsDVhT=ef?mPYu%ZMZ zAv8QXsKxTwt(W_6YIM5ro`_(?n)7x?B-PTG)e8&8@{FGc?sY5W7NPio9nOd>GWr}& zkl`&!RINYF=v%1&P$Z?Px^A59KeFn!bQzrL-;TW}J}llo$e{aiq;oP};8Uacg~X6^ zO7+*rSDHMM`$jd~l0l&s6j28jZzouxQ3=d!1O{dkp?TkKV~o;Z*FU?T2niBgKNix| zd?8fgJ!g{NOccs(g{ds1Ge;oAG2p^l-4MP+4h`s3&-1?kq@-y&TB$0T0GF-8N*KzQ z8{as`N*HYEAaMud z9Zt7DMwm%-y;DFXt&UG%i)}eR|BM^&yu&7m)np;GWCU*8)(xaC$r4P0ASw@wWdZp(iSHKdPQ913=vK>12r;sI>s5Cg$fFTw{WruRr` z-C1%k21j@I&<9^^5*%{nS!pKrQ1$9H)yBS0RnIZiCcoqwNGe$ zp>STs%fEA`y$F6kQL#k(Omzza{AIpm6t7#+zsi0SwZrjGrRqJ>EL#gf|J<<~4bJno zRZK4SUlt_4Ku$|`VYgd$9}OZaUiS3&OVs_7eS$*s-O-h2y>iG2*v3??Uw3{vYqTC~ zAGX!&zJ(RIM^sms#G{QYe&77oS==xClTg5D0!6mC0_#_>txek;XT>X9eF$km;_si~ z7ms&G6>Nk#z0!z-7-*C)RMcMjjpMk2VVG>Ti&VDzuF+@|O3m|Z7V&{)E~ZPiQmYiJ z{}SOUWWUWMI5z2}#JK%?&5&2Vyrjs$l_FA(;OT`3E9{Y!g*OAv%Fr%u;j1?cXlO%r z;pjO5LOU*wCoX?>MAxr;-#R4}4+{v9MpS-?^S?Tu2r~5X6vIY(D^cB{RreJs_cgoo zm|NSjds|1&LRi=7LtfLc;QE?K|0EM$%TONe1Vh0(3UZ>%TTjJGJcGtMFXt#cOPAx| zi|_=uZ#=yh1E>gBAUSta$@>kr*_Z8XL;7z>mqtxXVVd1CMxElzNWRnw5k)8T10R}} zuDPUKtFqmL5Gv?!qSSkAG_u4{SYj}RW0}7b8Y2SyqVhBLXL;JV@O!f#U=gd&p5?&v zkJ38zmht^{zEfJ|zX&UPKQ5P1*lQ-os#-7Kur#D~djl*+4tCFEqMiW=NhHE27I{X~ zVkRFibcmE}TSgsi23(l{O�eX-AK}vIw6Th6?paBiA~k|E2ITN3&J>gp2n_{`bCB zv)9ebjx3`op{$=UA}AT!+i|f11=)__p|26w-lpvH$Y}zIeF3Yf&$gTJw*s@l zH6^YnwY`_5p5_N%j<<6I{snlcF4}2HtojQC-n9w&e85dk_k7$4pa-7bo;4dyNz9PiZ zFt?Ich>9K++;y0MRDi8g#M?6K+w;f!SvhPQ1TQ!)b!8zZD&jw zk6|%VXZ^Aj6E?(=uEKxP)>_%m;p{Hux1JG}3liNjW{S%<%Gm})AKZtZc!;2)(lD%P zB-Xt)2UYK^f_N{U$4H~!uN2|!?h4RkgOn(JgWevw9P&d73mj-8Le;mq5t$)r3@>?V zCpk@Bs4Q$=x8l>&;{yx^0zK4l$VG(Zbx2<5ncN3qk9cs|MC!4@5BgAk)PVmzrICCJ z?Rt~A5~n1dIWCLidI7!;o`HJE$VUR{prW>qGj&X$I??;<$d2&c+VgB4XN(cw4{zw-4F0&9+4<@#faE6ID|tgV z(j&1$jhsb)pzu@U)*9RrUNeRy43^AO)aIeew6M*kbpNt*3?5X0 zS!7#m5DnQCIwovT3K_-!Rtd{P6v|O$X&!HwBmC$ef3fPr<)KO~YE*paJn)8@2x2s5 z_ZZFm8owg%O&UA7-vb=i)yFjov*;cO7IDVBTonvJZ1_@(AK1oTOCpj5ah@ z#w1Q5A8pKGzWWDPel>V2yG(~_ZSX1+phn7ef#gqc)i)$hY-NyzTS`md&-~Ia$IOm{ z0@2k@VaOXWCkSH<0U~8zOa!j9;SMr?vBAq5rOY?a8kk-2e za`6AGha`L@mDK%t4j&##BKJqWEfJczUPC>Y?wczi;jIk+M9A-L5~Rm#{09%%b^VJU zTNG<`q+E8~+rW(k2ng1juT5t&Y&)07}qQv(92B%JG2i755J#e;&>XiEEsM? zDv(g!aKKqc0uV6|kEYe5kQ?N9*;s;a^xXM%Nv4=d(4+AuZmQ7?B)mjA)M@PIkAPB?_u{<{6@U*=ig$KGzt5Okik z`nSHE?P-$roSkSxqZrNmdxW}PCiieMRBMLsZ^wwX)2E9eG8xZ#W2RxS?(9?17y_P7 zSov;>glgbUk{pd}9^3Roei|m+CpPgMJFb53 zTaz77XWW&EzCvd%pPQIg zBYnX}ZwM+iueO@AdL6}lE^mT5Ae~b(9;8@ z$~uzQ$=5Hv%`ac9<3GqS(Uz*{F6?`IIoV!hvHbCBr_svFoiaM<5SQ$RafXvCmoOX2 zBr}%$q7qJp?8w!Zyj!wsM0^s?dTpHEUU}mzR_|Y*XHo865PG(<@* z&T`m-LY8=*?yZ-294S+oV&FT8AWxhEO(N$WghWn!gSg1vQ%4oO?$Z^7tElb;@}SeXyOxu?C*;^P9Ywd`-m{-=>Ljwr(t6<)|_rxU0x69XvZn zx&CL#U+V6h|F@lrSF*MsJ(9S89q9V%SOJ$S%?bqdmMuHR%a=l->2&Aqm`ILA31q|B zdI+^-w0b=IeITSN$#SR1`r&3P7bJ~EN2b#`A=e^RQi{TY7(Eq}tkzr-tI_6)t9<+2 z*c<~G6Sc|kXrs!FE^S(nQ2N*6 zVu6AW!;6bj;tQU8*9X;B>l5<08zVYu1sAL$7}BQ`xmT&AQFdk@GESttgJ>kPOQhCn zJjw0p+r657#}Pm-riv^$#7Qjb_>+a4FWFX6JEXovw}*BZt3%tC9lKT|ZYUI&wPs5K z@IR#UFcE7(J*`c-wh*QRBJ-uJlfk?{UDfpNN}T9XkGc`fIJlYg+s0l|aBW|}D>H(8 ziN-;=kOdF4tl!94VLgRJYp6LA!E=qJ@4=SMUCvZoHU5)vK`!Q;ofT$)ftpjh?VA

    F0nJg(C4st?N2wHk%O}WMz|6Vi>8k}<+9*&N{7MNe!bEqPf|{d5KXse zWu#1xk(PHGpO|=~Neq%-d5USXRR;hh<Z9wLjmcDH!&P?F4`ajiq%%w*`4q7ki%&-f=?Ah`M%T z7Ctge)0Z9IDX?A_0W<~B#C{*Rb;YEJ8neq`{ba^%OYTplH#77$zWcet8}2EIrD0mr zUkyFTQi1?}1=wov9ssBKj}p&qX8(e42v{h+@EMgEh#^*Y6B_?T%=t#*n1V^Ax z|G&6(YD^K9FV!Q0NIp6-P>bu8(`3let=!I_p_g*160U=lH?wohVV999JgKjWvroCE z@fYO-#EU?H_lH6Zak=C zp)P;3>a3YlqU?Sy_NNqOM-DCbUB{PG^x_bwG(U0*Zew*AlLT1JN<|Xz@24@jx76rD z!`KO+$ySI})2jCFA>`0xUa&!0=n$S5QYH%%CIvBUs1~UnHf&ZRz|BDKf zsG*Y+7lRbwOWXgy;gbHNx3@AZFfxtdyW@usJ$RBsVar9Ekzca zC1r3Iv%~teafs((Xs#k{A@UY38Zu5DIEn>4QZGw4qA;esDMjvI(b_Sw{2sL1+}4IYo~w9R z^SE1c4S6e(I|=+X_bMnf5c1$M9F$Q&T>eG8gBV!wxc{41?VK)GRN+qH-0L{C;znO`^JBop5JN)x1X`RjUzw!tWEZRoGccbgRx;_G7tGw=;)6>%+g&Fvg zfbcT-ei_!<$bWykHwfyekRJS{9p`30Z|^@xc#m+r$J#l&?3|qXAut!_TmLt~j)0#f zqZqAj#@_?Pn_%_a(7+q|#oUGY&`xG>T~mnf*Sk$g5QSO&)@OWpXwqAZbriOIDCJDe0wndn=-D}R-s6O z!9chk_#i<1jmV6NBE&#}S`kBvYKof`#6M2+>P0+3ZQM%QI8YAalL2h{K8Gr@Dd+dh zA-wVG-;Xjd*7an4N8+4p)Md2oRS~>?muF0BR4S<7)BYvVQEzJzJ0ZR0)jLSz@^^O+ z#~c>u#tS4Zsn=ysdFCrQWy8_Epo>f4F^$0&|S{5n67=zYlu7>*JW3_8y?Q};bX2aL*Sp& zTgdNQywYRKeq$q$$rG}*wno=ZpZx}Xz~2}CmHe|j_^|K`IzgahvmkVVeEV!*704mE zfoKUh!QEGMpG*YAUs18EUCq6uyiho0j-l z9mBx$Gojg0L16>4vz&2*#UDm{LNA@Kao%0Q1XRXC)CC3KkC?`w=PdsJ<`8`2Yj?ov z;7-M@PBqKa1Ka15a5gxUpz*GU09AkRqnS-Gb^n{=A#(PN6JBdl9XV~iG=tcl;kTO8fzbNWgVQ?DoO(u`Cv5j-y`j&za2U=Gvi*NJ+KbHKF&tR>vp8X z35TeYTF7>H4`}AaQEGFFLsDq&;pjWbRgjnh{jXL%GNO~kbGuDTegr*U(+BP#djV!w zrw^H!7^sI;3j7@MFgR>Sq8+w1w1_y{2U;^AbR#5?Mel{6uT-_r8X7U(`uL-o2CW|E z;}vo6Z?ka~hfjBeslR(ax&3OpM*z9O{9ub;EwJEa(-q0pAufhD&ixx+5n$Fh z)m`<%ryY9FU!R%=u8J#_`7CiJgs5Z-!KKJhUvhHk5=on6Hh-=TZX_R6G#E74H=!q(9j1UiH z+P+vGp|6I&{~!o_fpdm<9X1vi>X zvA zia)DbuPRp$GrXmi#^5nb2_sk28L8*1)8|l9qr>KT18vkN?kQgDMG4v4IN4y)fSu_+ zBRg~x*t=?tD186oN6*Rh-BEj{l~>9?*mT>dv9(Y$R9??a5(%c~XJfdw8!BCY3LS&T{ze2>*Jy_Fpz?*()I0qjd91s+4eEV-d zT89dcL`qGql~01sEmhRIfCa@Q{gf8tJe>5jRVHe`I+wp<+UH~xJ5A7T7nCHNT&%6BS5v~yGGFaN7yDK@YZq4 z8-s|(hFqkSDIbWI{#Ro}NkXq0G5{KNC~?21XdF*Y zc6Jy(kb6hm63z}hw9=a4HNA={kQy5+`l+mUQvIX;*FA${lCq!ISyw+RUH4xuSnvzf zZ06m{lK5(Xh{!LsP!~pjYR5UuZQ8T%C6WwcaE2b)6VX=s{>i4D`?bt~UR z*t+%02;-YEeon0hdoXInb7~hg-vqwQpgt$C;pL_%RKxhaP{&XeZ_HE+Wfz}*^0qn6 zS;2IlTNVe%84g?{A3#-pQwo%qpjcSDi|H>|*aK$d<|FTp7fDI&KO6F_-GsBjYbDUN z-~0o3`vAqqn-1ld?=cxLxqf3z(X{ucTI6&3*{Jo}Z3|dn+G_n%tiw4TcpS_LOb(W5 z1&7HH<1l=b5A`uo_HS)@-N}8To5=hhI5XN6w$1a$D9w<0N-Z^#!<3JMf=ouZDaX>! zNFImvD-Hi*lHPh19lkz$%7RZMVbF{_KTk$gsa3}XI(i#y}iqs1eMUu$Q@ zY#p4~ZM|ss&&oj43tt{3U$Rayww{$#@qWgx(Ogtwb`jk5OFTqWi=MvU8yoqv)zm(S zQjyiMT8EXTMMtF%7wEGU|F(MxB8m-(!C2qeTEkb_QAks}wo`pf42=zVUNvd@0S$_kuL%Ppl;d6wx z#gheWzAu2-pB~7k+GVeHhuc_JLU%YieMxyg&(7l9J{%posH|bq(U<)d25d_<-B$mO zqo)`Mb(6AC5B%x1s3=Ojl@Rr!oq=u#ZEkCoSM;^sJ1C|oykgmGLv5A`XO5T!U+X7K zL}oBTyQoth@1NsgyH@d0b2~0Xx>O;*gii$U;7bJFMP{I`m0I~h4luA3AY1K zaFI_}+B~=>U1tR^dik>RIu(^y)Ft=tl9aQV&H_HfT7J5MtJnUu82R@PU2cMB{l-RV ziMa9({`6%8Ll;lKrqe-_6tR1Xazm3>(Qaie>!FUAv(Ep+bpv# zGBTsXeYlNp8Gc-CQN;GfuXxUDI+1Bl9$Fw*AuFpRn~L}lZ25!~5sxj;8*L#CxRk-2uok^|zcd4-;#h;rb!Z~{db~Rprlkn^>pa8JYFQri38knvZ6yD%Xap1r zO;|F1+v?F}e6RXNjYwwU+}L0Prdfve<;ivDqo*gi^skkb>bGJJ%_37Qri}!J|KJOf7}I-#&cb`A1wj-7GXrxBV&r|z_Nt=Y4P(r| zF*2_iVI}WrJQ&zjWow-S{dL4%h&frh<##_W*D;v6;U_3>L9$1wlt~ha`-fO=o|JGOiz3D=O$qD&_)C=;T#%Xh+*~ zx2jI}yf1J>pOVtU^62v+lgpIfRR!B;(MRh0%*drlEn-QTP7PQ&365FFAjB54^^gXf zKXT&@Z=oUKS|c#nDWnEA(ik zs9JlKV8y}&w<}a2YBuWH4?F!Hef4h73zydczWE~brU{!f$FoEI8jDeWbop&-=f7<+ z%Mpb)ho4S55~`TZx3+3Y*E;+kE{a;d@_l{$iUyO^5p_};F_HU&)yFDW!6w`4@`CG@nB?A4yx!$!-Cw?Yv z^v{E5k*u49aAlZGY%Xn)RFe0;0>zVDQJ>|jwRx78pW@T=OQclSSIt3`Gf54jkKOp- z5NiK0&MxI@*ht_Xf-dT?Wca+G`dB(-6#g-&1C96wLQ+}*8-W<|5zScPnraj1uY5>9 zW#KR*!liw%$5^A@-%DI#P$Dwb2~_M;p8Kb!r(2;XI<89n!201OtTpzQ-$-7>lA=9M zB}3yI7JmrYSqsd)?cHlGmbdBIPWfgAWMeu6?({}K^2;7q;sYijkM~ZGt#cog06top z^jDMqv;i8ueXxeO@#Jj=`69we*w(|L_gAmDL;!p zUR$`9_svb4c_{-!I|mjN+B3XOKou{R?GDq-H0oBZuaxvQ@)&NCb&91TwV8%xa}{Gr@0;?tQ_=lR&7sNsPg(%P+5 z^dB*%B|>I3U*hDx$L_Wbp7@(8%4zXZcU2Q1m6q0}Ca=D4)DoI{mN3F&g(0~~+JzYY zbu{rJd89s6YqyHqfiQRb6W$aDkV)@;-H0U2uD(sN1XQXw~sWX0a;fP->L2hsNuKgYvgp_ zG0KYGbGhjY(n-_>#^EcCIj5E5f-WsA3^I^0+K2~%#McKIQk zmFQ*|sslmuVcmCLpU+%CbVg@m>HJOhX+mCmeK`>Vm3W6P^RcI*+@bnQTL;}=oL^uxSZJ5{ zLa!@y%D*tg?F1D`PJKvwCZ+q_{0o#kHGdOGxNL@rjl=PDP!ry9l-Pbs!IxJ7Vf6hp-p+TLl@#SwPbz!iYpX^;WX)6)aCHXxU|(JSaO);qu8)_8`B*U_ZNkvbH++K}5pquKGs4MON zDt7s?LwE8o|jm8n_^AI!zqqn znQ377hu~e#Z5pMBf~@WG*5_p#Oeu?4C`o?Th7`u-oTXE*Xy|x9uO{a0kDnH1^x~KwhHYu)}C!xB5Kn4hBJhA^{c_J8p)=sLe|B-}T3U7dIuFW!v||AVH~z zq4GZm0VuRj6YeJWZEkP*sfxhSgTHr)3aM89F#7Eck|(gN4jiopJozbMle}g%#@)9T+M?%-UbKFH~$K`r&s6GS%JzL>jPm^2$WRfYj&BvpDRD41|neVRN>+ zoziLv11q)RzjlTZE;>ODC{vJfQ>^zV8CD=P30A4yp% zsj+vj>v}!r^VNyPNY-H`BW~(4&>19I{cbzz%q*tw)L)j<6!p1u0NeXzM|I{T@H{j{ zmLsIV=#>$FXcmuM&5lgH1IgB$;+Zkexv|4g?R>&a2*kI@D<5OgHubwRHH&vc{b#R* zgy|hiK9ydTx)c@&CAnPDCpV{-=*s&k~3_?-mru+SX{m;=nyalID_9pasO#1 z1pEUM?ym6LKHVOZj-N zV~xpx-7$H=gtqfho?(GYum-V$_vx&QtI+Q@`y1MwD8@hv$H&9pjBA4?V{NEpE3*Cs zpAb0Fv_jm*gSyXT-u;s{)QxP_e^zc?Jq0a)_k(?5a<)k+kj|9KKSqtfvyn;r`*O*q zjO;%;+J}a$jW%L{3|z7%tfKkhB^1qA(YC zIZ{;_L+R^mMMzKH!k$avu@R9ohX)?)0m?=RI43$JEwr!cS8}51k(&=%58e`8$!E!Q zJ0VG)^%O^599&U_E!>*N4soH#AlsqB_52$yC>($!FUltEllz1?87z;F;#9dNDR2M{ z!H>*??NXFCU8|!U1_P0(%t`uCHZ5JN>eqQ*-z!7$wXM|?k0zyBB9HIRy_7bk)U6Hl z2XNY^&%N4ZQHY4%d%?}7tO|0hY*@A@Ke<&$4|#QP3o(%=n!++{(xZt-88bClWKnz> z2-2q13OE+@3^97a_IWMo_p7J(s_9~>L^wp`BhLT#{2sU~$bNCcV(hS5NW+bgp*gx+ zM9Mai_3r2d0TVV({*z7e#_hRx|5k^Lm<1~lrUtCv7;i>AYG}@Z7#>12U|(MU>wDPy z`LCgY+*4}?;`0a^^BhmnGw;Oj4{D-grzXn5NZ&3I<-3pNeW+NmsM6*5Q3FjDVf@oH zyJWw6ox1RKczk}0(oT?V#4d$PbIX}=d0j1gAl^!)T`Imy^tZPj!)L4bx7*i}?D@2q za z@o?Hbg}ni2w80G?Zb3?=lkYfeFEH$bI%s@oX~|R#hu_ab9^GgZd4O*Q78EepuD)Gr{+Q}#<(r?RC%uwj`4Qm` z3C$&pYzT7;X!s`@?}t4;$KPP-&J?_$!#-??iiB540*a|_17lLuj{_n z@|VP3?|)lN=6|>Cop~c4tf*lM;b!`BBA>;^iunr3$*i|qG@M3R%XSB1sCO>_LvMw3 z&R3^G&$@t;jL&C5d8sohkT3qJcLLoD`jl)k3kIWkZINI+6m+25a>=%3(H={9bu)2QgR9VywuL zblEn6=D$0?^E<5(61<*wlOwEGIo1Ek=2Y#5>CS878%U?*$w{foR4VYtx#_lLu<6HW zFLqFD1;{>8IQrucm{)z&c>jeuv*h~rrZdpbMh1to>9X0G!w{JRcs0co zR_wg1pFvWWZq^Ou4)$8$U1jDgXscQw}|c)od?Vyn>*yHKVa z%SM0j#z#C8eXeE!?Do{%D*)U})P!fWj!3+p?q1J%3zt63cn*;uC2ubgv&jH|r83 z=edC{85e?>J5b&P3HR{G|9u(Jh*X~5Znnbi;D8|bt)oK>htneA!R~_1@q=vHVmd`0 zp>)BCm^g6dn|r8;%fu2CqL%S)yi3y_byAMS9KbGUlzrk!mLLNj4DMsSYDpAKpF}?V zW(?u%XXj-i(RAAfFQeBt;w3g;Sw5CYb=AO_t<4Kmbk#{`W7)1=jh0fR{(ALBZ{pxq zCF&*br&yj*>Dytguv(IEJmksQI~4rQOpVSKi)nHlgiFoaefxg6rJ>1A zQMxZ|HX1}n>md$KcqT8|ZGkf4wCbY;7D84pNa|$5;aGn*5#wI~JKniVqGCp;l?$y8 z>bDvRhAm^#Q9RpT125FhUoalz z`&`}|yr`@|8@xHu(p!>~WsDAWW7@zS)AWOYp7^kUJ)8qSC^o+PN_;RoDlga|c64{4 zIWU|<`Vz**4_1ddnrqkBj_2m zcCKRfJ=tUsV7_3Iu6he&j+ZuchT4XrjLr7sHD38vUYbe{ff;_3%X4crG(uLQ`vvsMVR{ApJ?UX$!OHf%&`pg zgaqxUQoo~w-unMIIt#WayEO{aCEX=mQqoe=oe~2Kpmd9bbayvMmq-rXAl+S(N_UB* z(s1^7{=r=HUVHB+*1FeCA1n$sRvTA(Ursk>X6GqzfvZAGw-0%tfgY}3TX8}gL3)m{ zzp$`yc=&3$X60CW<`bV2AGyXrugiP(JqU=~iS&MB(x%JN?56Cn6SXs{J147$WWb6D z*ZFjJOmYAx+6@4GZL4ajVNr@!K<~J#y!6A-{4QpZ-RacTu$L*jjq79g4LmU}_nX%S zZ?YtP5FGqy>RE~z;zgNkRCg*9a=s}I_}Z#ge)U(ba&rQl-gII4kd@HTlS?vC!J3P} zpJ$FpbaY$}tOdBX+P?)V&`KChrZ)wq)dmowXnKyLcJq+$3+BBos}SH_WJcL95!Q^# zV{II3|3{%!h7~s~C+Pj^0_JXcM~)Xbh;|k8kpYhS8Nk=oUC0ZFW=6V)roWHXQO3&s zex9AxB4r<#xnAB_;72e*F`G z9Q#@Y&;(I-%AoMnre-tD59~L|BbN4sqzFbdW4($@XcZOjcjUT^R#ui>gr}r=KErti zB&=x)zu4y<>W3b-*i%UK{wv1&s|DbMbYh_qrwD5U;|t-O9>?@u&zLU}kx@~5AT49Y zFn{33M^5|`A3cbwN~#Jae`1lAe$ussd7qS80i7%3Iy;@SE<=Ar*U_(+sb3N5vPZ6( zjM)M(5?tn0E-LS za^Dk|n=mwj`{^RhfA!?wn*TGs3}t9Q0LH5^7&}`YSq$D8zvsV?pI5)0ddwI_RgV$A z$CmStjYnC zRP1if#O!IIwaJGJ1(W{aI({!ITa~vN-Y@rrN>Xick<_)rQoe!mr=;ZD`3=Y$y!Tw& zM)wO8o*Uj(nC)AKwsIo}pjJNPzY@$x@t9M#d!zCsSQU_9eDY1!UM!Cn8ZIb8r}oa& zUH_tP-sNdcTTU7~SIt$Zg7_bPT5~QF_Iv7VRfS-F12rfV4mr?=3awiro;9`Ahe$f!iI3=y2 z_0>sL<8XzN;V%b%;Th6xZt$-Q<)`rl9(YlrKQG8Bh{#r&Rrc0|=%BFF)3iYz-Rm>c=^_O~^ zmu42Xrxqz(Z0gEr)9_q++^WV-$xxY8pTfdy8mJW?f$~61a1wUIN4s1rT61lU4YIy9 z2qCgMr$753p?lmc+3W`JhXExIP(`et(laiepG#`6!&oORKUWym3+7D;=eTusVX0Nu zye4n`_*Hh}L{N{yld;tVM*=HT0^G}X5MO{WIGb|)#w6A)6Mi{}8o4mZs@e|8JZ4CA zw^92xGw|6lusdI%!r`sxgDo@5Gi)S83K9J;(h`lXdK{55y5I57zD_ou@D1Lj!3WEi z+>2^)2AsgyV`UXSa=N}18<{??TSOxr>{T6pGwtl%@j-R!O4@K1!#0_>ctxwu^1kd4 z^GPT7!1NXGA>`i#BN_{3_Ymm5W9*6WZg5Owx(6%;D6#SG+0f;fsd|6-jeL^iSpbD^ zy0I$vqhV8vCM3L%7Au2N$5rwM^O4fIc z^G_NV&t_+DA>8sNaPPyuJ&Q{~dO2#0bFXEyu+EM}|8-2pZds>yMd~M9^T(-6(J9`V z;j{0RI>cr=gwfVa`EAT*b4Mq#hEANy{Jl~Vcas*#Rljf^tzp|2Jx9BbDBs!P-8xY# z4o`^bJtbSjY=?V!-~?aLYFiZ5^&XbMA{8jaIUXPS^Q4scA}w*krG>YEO)yuzWcEK< zacD$XO@$%ewhy1zk5im=>j!dAq1M^xhQ!5GI|y96(S3m(J9Glrt{(oho!UmRUZNI8 zl(ORET!xp@0(HEsK#9Ci%a82U_gX*6o$@o(7YT{Shn$)RbdP|Mv{*_47V`U?bQ8E_6W zVe`P%Y;<^E<9eD#c9}%J#?~eBMQGp*zwD>~ODK_D#kdWnnp859N9 zNP*R@7XL2O{>A+|`@cZqn~}2$^7s4u9V4D-uKna9!~~9@ zFG)ocqD}ghKy(>YWw3x?u;tAgX^Jl^h2@(8HNAX2)6R4nm=T&X%S`LXYj*MO2-DBC zPb1%QpV`blcI*~L!maT|)B)O%k8#u`yaiP-+0xSjE$@H5$IDanPIUT%i;XXmg_m3;C(Z}kxOqaBM>fgAPts#pC>|6NC_mA&g3gP0bsp9N@8*7dY`I5^) z{NB&N=~y;LT0%f|@s~w*#{(N}u@V1P-JyeFO|uelG_aK6iIpE2a{)*gDA2(&s5{3? z`^yoRWAMcoANVP`Hx7?*t-fjtOm7qHOdAFhDh{jG>XDe}zNmm_&e|f$)ZyWj-^jDw8+_e!9 zc@ttZ2V}VQahvJW)VPsWzb_xhxcG&>+;~+}H1U#BJtz+R2Ct1HL&irAO zXv($mqV@GD?0J(>W2ZS|1l@7&Yo1oXk_)=d55b)Ai>MfZIZ5np){89Ea#Xhm$JQ|utGxGQ-ni1NXi#so4T96mh=zx!fYlt z?_q~oR^#D6&!w!ng9FaOqv({Q96&s?vy7`8bkN}krCQW>beLJfz?Rp(QOz`F`L4+EV-I81jz?+67l)(}l`l2PrrRj; zMu3>^JpBi~L%g4lh{cIv2{{e6FFvaxPfF5@Xy%KLOy_ChM(%anpEU?YB?GZN8J08A zbrz%WZ;00-i9TqJfBG)8$iPt8xNQGJ^g;Xj&S3ZG;#2>55_^jua^yB&)|g$Z)2AD< zKh;)I9LngQ9WH6H{!&b=t*=*WhT6c1q@Mx*L986`Q7`zqg$l1A{WeJ51x%^3FdC_Z zt*K9CHoqueFugQnEOqT4i0S2JlM#YB1Ps7v{jH;!RhDM|c(O5|dqrhm@;^LF+g zCtbxYjosIAzqDiseP|b{zp#kNSlw@cZ62@t&B+S3j9nbaYwX0AV2ErYIL?YEJ;Mh5 z2d5ymkJmAW;&c^2Nce5k_ER2dd4S+X{$wZ#gPvZM*ZEAJ+R?o|=5k?B; z0J3TlJas0*cV|;?(M=_%aunuhJ5JVK$!!ioj#Ovy&&*CYl4fdjy)uy zahYRqo+bnJdo8fXWXJqJndjEs>e-<%@i>i57f#eVtfw0hPu=Vbzg(aY1(8`~zeP7( z?T{vhe>(A&t-gyZlctZ_Uiid6Wli@RT`6iRhmXwEo0}=&hN)XerI<9Y1r?t~p&eNt zbo%g@6pT31vG!&Yd9`&CvmMYods1VuynJI4xF3)H3oF^arr|Iaqme}Fyxt8FEkRhz zb=|oGwkN-B`|@06ubhjYR(a>V0X+Hu1>g&{zqRH&y1t*o?+vvb4 zPL2=uI@<^=^nfc?7*wt6U*8zWM!&obGSaF|;pa*3qS#lT2Il8v4|F==`EC*$kmVBr@#h_8aau&!yl`GBkdC`NJ|l}y?ML7G%-A-L z){(|ej{m-LiRljT^Ka$&56u7L=1%nbH9fG}J^YKV()hqHFqKF1nx14p!|>|SK91<) z&cyEb)oW34>&LC@Mm8|}64$XH8t{UDi6+Ny&=`HsOJrS4oO`S;)9X}?*v}u;Rng1y zoMF|P!F`gozlIvgQV`ekA*S@_|htYtGVu zzxL(@!)>Bx>bJ&^Ry?TLse#4{I_rQ3JLsWE2(i7MPU)Ib`qaE?1kal z2|AnlWOdh?QoF#Jsb`EwJ%X5+60qIeIklw6AgI7ti9Y-d|6WOs1~hMzAEKU398HdI zm>cla%=D^j6P(Vxt;P)4OU*-)Ou$w8l#oJc*}Ck=ZW_afBvE!buMjctw!Cw&yzE5z zX7A?a23$_ZQDm!GKxDHvA9mE`!ROGXM=0B)w8J#=Yk&32N|`mK2|jI;YIg7TI`Rrv z#qR!8UilFyr>l%rIE~(&5+5FMpFluPHH@c8A6mgWQ^ZQO4YC9#EHD4ln9Ty3It0>t zOlJxqlE%&deCH#DRzV_XuVfCTSsK@t;ggA!LihI+g)IPrd zu`XsyZxC+dIdNpJAVUESiUx}ijws&DUfI2zJAak_V+HAhnZaP2)>q&8yf;4pr-@^+ z(vcu+0XMP>j>yyJfaqDN4?UhZosJ#3cC%}Z9R`aj($d|Jh~LgxbQ1M1D5rdk?QSTB zQ!qWP;C)kyIQQ^L;#T2&lVT&@-zlrD(mDAi`LCTh!5^PiytYq)i8e34cE0Qtg7zI` zFFmE~7Va8xFAU$vWKm+(@()bCuKG1?bj4ha60uz{O(D^a@Z;qMP3jTEZJ7h#T5>0R zBX34_6o1x$l`jqpCKwwhg*~8Ww3U1Wl)isJ#REj_sk8R`(&wCQAWXkh-pa->DL}F zkW0kvm-!Y|8pZT0F={x8fq|}IEFyr>71iI+q`MdIYZ;v$D^Crkw%#BjQsQnH!T5MV zB*w%usVYi;{WrlDce@A*n?k%+OXPqvUCNxCmY>p)_Y-4^J&B0QLbWX($Al1azY+4Y3jC2sAVg-*) z#mWbN`)xE~IKcx6tqdLhaXo^C(Xv6qdF|B!!g}@stZcxhTY1&LgRa@o>dY%gS7!fG z$kv9b_^F~FV;*tBMQ;!ks^}9E&Fls z+6v9k$Jx&>0|xJI)KWTEQQSd! z8(%)uxtJ4OEsEXz^iCY@hoYLyP@@Ur=k_>{__`bqP^ucqNPIf)fJG)qQ-n~9NO`h2 z*TE>Osz1dMmd22}ubk}c^iQ!^qVm+Ad$5D+H{y*|M3JJbo#7Vr!95kbLeyI8OQzuj zJYpF)!_>$%)ANR@sUNc&%!AoUHSOovA%)D1IR{W(ESsbiw1?MOGA(8!Yc?ZZ%;jp1 z@uk31?=~LY6TkD;Qw~N?;>l?KSYvKd@r&S*0&H^A==RFrRu#`5z}{>Z7tS8$3n1Lq z34TPgV}N+9vNX#l|71DXjK1KY@l?*;AI3R;4`I+P6^S3K199?Ta!7@!Mw=9|fI1h0 z7p0R`e#{%5%ut~dIN*?&yq2`!q@|cz1%+wv&S@fHw{kA|^9iX;CohGj-zBFacszI* ztOY(_;S}X1znbJDTa-iz#;$2>B$6^VZ8-P9?CXLdTt)LP9rI|w(;1SH6GAL%S%eZr zdm^8A|AfO4O=95(-l$isfCvEq-nOQ1Hbe;ygspWomrFk1=5?`*{V*-+5Di(8nUouX zu5p%!vZkKhPU4(?g6ha>=n&JsWLm424iP8bo_QslF+WQgdBZw&*Np9YTe`+h5 z&o9G|<=CI1FeE0DMhPRaws-u3CJqJw+EG#(|^hRsY3R3G^XNDS90dey}3=Kri{%S{Qn4POZ^_6LPnYkaeW z=kD4k=*wpnJnFh9=;Ed_u=%k0w4$7bfsPnA&Bd3LoIS^Hd(SPGn!7=1H|-A&5^bw9 z@zz&8lhi&$YD$^Gwhi^Z+t);nfQOR#*msC$*y;ngWR=6WopuP=(&NIKLA# z9S2jU1Kj_Gf3KiZduGSU^u+pHgDW);`&huDt|Ch?5rYlinIdSYP{2h!@jm@5sIn;D z^d&)kdi1IA6%G|h<@NB#S@mHIJSgpO`m%TbE6C^hIEWN(E>cuXj7j0Guy7KRA(%&$ zz;e`>L(YP!9|F26%R=jHa2=G|yAaA&7OQDrP}+ViT#9#1iz}*eR!gsA|0>i?Y4^&R zy8>m}0Dqh;;yS=HMdHgB_47fSP6Qzj?og)n+)w`YlB~WFB|iW}O93IGgc)NtAl^9!wkuR7}A|26BL@sHk{a(2&y? z+|hZhCkR2)^&^fhe;5XB@;&;0cNOOU0SG0xpGZG>4kR%$J zi>_os*k(xQQNy|Ct7aAsoc&fRrU3w@!s8lL>NGFE6%_PnJMlO4tyz(7G^^IH<8gdL zBQpG2PscfeQ<~)j?SYp14JjtO6a9dF7M)Z;+_R~&4=^zNuEQ1YPo>OiQPd!WKoEK^ zgRWAFlBb!;tL#NAH6a@OL7Y;V1W2^QPr4vFV*C8&-*16q9x8RI8uk~^R0xF3Y&>WW zDj+Pf{FAEK9m-?>F0LGa)_P@b+!a=nm z|L{S22dObIJfotOX&#yMW)-WKe$?zWKJ$ZcWDvb)ALzV5vC;|t--7hT227vb7U9nJ%OmoN3QmOo(a^)KvHBA|qJ z+}clU#>Nfc12#6d+?+j)&rti99qJ974zVx?g|Z=W_!M+9`-!dTl~ z%YDXAvvwGN2zFd}9htS)_9mC2EcM#P&sh-N8P6m16n6h3n3 zg|cC){CS-@4;eiY-PjfN^Em)CXlM}TsFhcYy0x*vBpZaQqY{vbW@rvMzOPngj9b1q z+m=S7*@JG4bG;%U9MoaET*{RGHilh-Z9EOn?i&FiO6@$hpi+nG-_`C+IrQmjm2`z( z8funqBIl|TO98<+);q(!@3uBuSh5Tu0pI7ABD9OvmQcPFSoGgfSozZKqnvueV}iI7`s)g!nLWl!L?nG9bQ1LA}M2mcPle z{;K1V_yse{_)$7O9Iwkyv{X^NaYqtW8EIY;2Piox+Y773pMp|)zKu8_i4goYzr ztuwcuixB20v|hf&CVubf^uGp1_sku)d331K<;4Z9fxGTz6uPm#~SxSO5)>eYpbK-T67 z*x=56Y6cs3JB$Z=-1<`Ta#p{;^KY!IwymbHfkFOKGPM!4?@2RnW_N_nme$+?T6W}9 zd*JfR!;alRk8QYzi`OSu+Ey%YD55`y_Evq;#G6n{LxlNY=(D!NToW!@zU45ot>4d? zoNtpDd;dZ#?q=A>G%jDv4xMx`6|jpP;IvrK&)UzPzb~lJt6q%8a~c_Ckp1r)+5b2F z?G};GFDcT~Q#^+YfPt$3s5RAWAc(w}dmjC*NxpE9dGnk1dSKHM6^fpU!fJFpA21*iM{b_wFbqOX8 ziuQL6+Lt;&{*mHrE=o1)L#l<%h<6L}B0w=$%@E}w(#g|x-F?ussX;?a*PhvZCJwM_ zN=A#J57q2I?&KQeR59P$>gc3FxTd<37WrJAr~kCEFSQYch@JnX8OCZVB0lP_+&+kW z{T}TrOB6`X;HAJs$*)h|lB$$=&(C>e`I}MkpPy43R8<-`?SklmE|0IGY0<>7b%d)S z>{~VLqq#jvEZ&I!WVndjHaSmp^gug{z~>0FQSBNttZMl0%h@psDq={ld)wQV(dcBC&{#6n1&z744}W6yGU zkF1W}fE}YA8RZ(R`DG5$V9xJgupnOfw8JbVN*)NLtQTIdjH&MV2bmcH#=D?m9(FosgQft)jSjf}J@W zyq$zja;#B~iL{RAiv|PGHp>v0Jy-Vtq2|8(AfysvQI zw+^#yUbcwjTz~(8P4Aga95FmJ#bqVg*Ef#ly_T`)Q%fSz*oUMYR6Pe2R`W`4F6Us;w=Hvn2C+U($K&lk81?8CkI(@NIP>mY^LpqAtH z{`dQ57WNdQB3gz*hD9qhTV?OR)VX;Oi}s-0~ix$c?oUD&`L#1M?yo`d*t$9ZHa0eqb)A}3#A_cr@(Air3l~cB10~i z{dr@i*CeX_bQnHf6;%Xni#)nuV?=4lOAjk9CB>SqB8)Z(zjCC?sP8Ia*RpkViq;0z z+{l0VmzHD0{b#~y_@E|u29sz))Hct5_a~Zf(5Yif(Ld;HyPgfqEPwn`A&X#b$`%+* zSk34ceIO~L$IKFP_WNf&47TRE{}OsKg(G%j3`~)7PFJ+-2j;4V4YR9K12h$KUzS*n zUU;q~E>f>}xl(2&Ty!|{cnF{+gj=OA!L+O&op5n9J0^dNdtAl;loE(83IZMnB3S^G z1I$cA_>0~stY*U+POf8+O{V?#+VAul5E(s0!=Uezc)}K|PdMsEKhzTrjJ=F`3=@;l zCo+s=#oc)35?ngfrzBJXsqH)E5;x&IZ7B|4B1)B@IyY&Y1e5I*PexjVKLLQB0Lynk z0x>3iU#K91+aI`$w}H8gShDTa;dS_bAajVTn0R!pKD!d$ZQApN5lDvoVu2^+@f-}= z-v-kC%fo;F9tTW65sx{Ght8#|b^AqkRf!*!TVuc+MCj^YV~m_`g6 zQ4KEqVYfaRr&Tc49j#0iCWXzHQi7tQeD&_@zG+Gte^=Q^Jg^XOx`ef6?l3z1TF+7V zE|Q#Ap(05$!wJ`)-QC?EF*o29&8H~$lWHoI>n#1^>9=P3>jsQGk0bJPtSGo$;CezNU*Z7s}nA=DYm8|G)*5%d}{;zsXI z#{*8)C1+yRiwu9!AiPAtLR>d~`b+1!`)h4$Vxa5QnzbNhn08>CsLiunW3x2#JINyI zZYzf!|F`|k{8N!e*zIfnrJ7Igtbbv;r4&vP%5vwZnT@hImkeY-^|?>|7ZTJpdnjRn ztZ>2B(d2rA6?l(ti18bY@j{>aoda%zmvg8Qx`;|y=e!eGAA8S*B~Dyr65@HR#t(!h z=N6%Y;QwDd=6viwvaKQPTJ)||Vjfr}I!Dz=m+{)$?TKvS1`*sTHXU`m9Y+R=c z6hUPUfxCKLhjdLlc18`+yGtv3{F)r_C;l0Syd7ty+Ef+ATQ$_(5kOvt$2C$JdE^IL zVpIb5;t9=DoecnP@Zs$2?Dy}OuT!yX8&OCHc?Q!jh40B*8I%04X5`a8)02!udGV#k zfnY;_j#tOLj-YlQ&%XvNJaF|4#ZzDIoUKrZe?7!XfP9Z@F(Z2JN9A&4Nc1ct> zCquPW7gUf3`lYv@$Q10*R>G!^oi*apfTyo(`Q{NsJBlYC$Lr9FYRGgG%ieo;P-PHp z#5{q8m16ihMnbPRfROc0L19pOIy9Pd-_U0uo9tRyn(VqO@A`G~Xc1W=Ow)-=5e?9Ua4@?WdBYRc}oM;K$an}ll0mQr9;0Bj2X?FoU#4tR>G&*MN=_x9)4 zNxHGjPhB7mk6Qe{)a|ZNTwtC(2Ruz^D$u&-iTV3Aw6$GthT}k7{rwXxzAi2cL_>)9 zty7!r1x{SN=obEb-1ofS{B~D${DNwm(vYNB7x*TVM+7DRr3AkUA)O+4`aWUrsg|Lq z7lzHI@IWWk9GC&$A?+TpDn3?M)J7A_ufsy-yA~rGi*55nX8*;poi0oUk|3$1)es2- zKvTE2N1!77?Enll(A39&4$p3A@S{h0k3aKjsUHl%6Z?E0>+9+!@ZYx@Su_&w{Bhp} zyZO9eH*8#N^84;l>^pfaqo5{-#gy~|IwlgWMv!M-bg4T@Wt+PAqs#Vnr@e|Ri_Mc+ z7;k!|TL<+u0O2_NiIA(3t;$9yghiC`3`ua+=j7ys<52sZ^`LSO`gKher0>vQoNeHh zzj~Mc%)puyQqM26Ffie*CWsT(t}%fxKm0uZCjH$w#bL)ge`5+hva>qvj~2o?2yX!v zY}#$awI>+vF0${e!qrW((mN8t?zH7ew>Yi!;L{=vlJN1#RSaJIwvpTdf2{!<{}Hwq zXp_Q|W9PX9a|E$GK90d+p_FAY$GzDUs+5lb&nb}UQ}IivA)0xkN#Pk#wgXwu36;`o zI5JXpiV>S;qX#G?b$4VWvPjT1Y)<*thlrXHb^4hxldaF{Oo)L8deekv-NEg}+ne>3 zVYFcI7uU$dpH7cf28)VO@=DcI{Dn4671SH>_=_z9YNur;v$Jy8bH&ph#wrPcyvY@A zVvj!eAT)Dz<^fp%Ll#g~rut9Kj~hLR(cC*6c+oR5Fcn@1M-(Xkue|{-{{HG}XJS;> zX3GoWnM)!&UiS_nI5Rnw4_Qtf_Vo1rjj3Ig+M2FCRY^-1q0RKoff4Y4scBj~1deQg z_6$azEOxuuClft}khWj=`XllZk~YyKJgmnd(BTXP`2)SUTV{V!#t+K-KXQd(a^$VM z&LbFb@p7uJ@Xr%nw{Pg29Uaf2jUKifp7tCZe*#pyG1twZx_=b@Ihb}rAb@gamEI#3 z8u5l@i(>o<3^1K=*b`|ZD}McM4G)_ihBx?J@wq%UPC3@0rU9mX&>Z%J-s*VN2TN0V zJvJZ&M(dZilaq1saBFiVk(%fR-zrmm2YmC_FIO$F&M)g3?TUtQmt-E;F7HUr4%gqA zVw}CiMDh4et<|szZUEYlj*bpc(AH!c{?MT}@_f@I^m*iT@qR}D4eu+=YmEB|XxWZ& zjKzCw-<%H#l<GdSHNPIvhimM*h?yLyf6^z|;vqS-(;Hq4fcl zg>SY6v~Bh0a+d?35?8EKw^LQ;v;}4`YChd^hPQ5B`&1vAY}O^`z-a1(O>Z=z&?JguLrT!(Y2#>qJ!xdV(4cb5e@nrJ6^p{O>J%W6K~dy zHyiXTjh^oo0Uj2Zr#jn4dOpcKlnu4wX`T^bBH9UL=U( zCres292{6|eO!Y;K*IQG{PRt`|9P}g#4w1HM%%O!zX$G8L>*kbd5Zy8;kHLPoy*G0 zvsrVy_^LS)_yXatbhKINkGa16;a(EekxN?ewA=p)qce;^!MYA6#m*)qbIMacscL122!xShy*`sM5;EJc0~ zQt_;bW$Qkbbg-}*94!TGkLjaYKwX7b*~hvAJ*7wLDqyDNU-}UH_~Wd43gS=AZQ4tC zaJwIz^x@zCq}#to{QJPto8c&?EQHQ6fS69EW5;u%3@EVUb%5Cl?908t!m{-s$)cNT z!S&Ce;6oH zpoh%&UqY6Zf&6Er0GT&k;5B?&?J`@FfJ5d&^9KWNE;*f@2cIOQq50bs^f()9tA%#f zU72gcG*=(#97AO?4XSKKdJQjL$uM+}svU+`z_`x7fr0iEyK{ zqD&9Inl|b}xMTTRSDWcM=(|qk;qTun5dX(xqhLuEPP?{BVO*m@W5jPvNP;8EsdX%2 zxLzH(8MIS4NEPpfPoJMohe&&f5$k$dHO(Z>SArVR^YC;6#~ha&VLo>E)mpeD@L6Po zXt$0Kq8>Le2YE{0Q6boW-gOX?W{9n;XbpG>C&~A(9$N6je~-)haZ2G@C_|X`yQ~fX#BMirD|Tb7hh8Kq69~MZdL27klxz&!t}5IW_wqR#`&oG$oM$a1bzao)n{~<^&!(;}f^QSWpV2SA zQ9tI-+g_vIU*0ybr!D-!1>rhY(SAETDue%T&Sh=dvAgf)sy)g!gdwQJ zyRBKe{|xQ^x4UT`TL1<9Ujkt}yKsU`&*GoHX1$g*HeJD$&sSjVJ)UUON+g!Wr5^tC zW0*LtU(y}b=_S+On}=6nTKW1M>O1_zPp}!RPg#b=r~xqlR0}Zc6g-jeeu*8f_W&Tw zH*m?!Alk;`p)-K4OV=uQs5abD*x!-If%}%|Ng|dr7k~W*J+o=}waYRC2-`&Wgde1y8}Z8MJ$*4zm76aPk$t9t_NS*s_fV2WKL5H=l_~Vl>6GTD(bv z{Pu`MPy-xz8gJX}V0OmDQX$9($Nj&nI|8S#DNV;6E3kLu`jPcs!l7Q?W;48TLr8WA zgQPN-gt(L4?_VHVy)c2_uc`Q(o458*2ZI5T4E>k3#p>>!KG+HfT>tqq@U`GzOJieW z71qj;T~P<{%0HTqKLpu0Y-pRo)lqE3rhCX3;cPJ#hIA>cij|d zzXru6`KAfOoQkjp+Yt)7Rjf5T*N9sAkc|bh8o^ssVnr@Ox)*BK3Y2DAzyzB}~<4S20yMOrivuc4J`vqBd?EYCn@`3H;S zoJ$|Cm58!*@!dKZywNKn(a?Z16YTg2UrpK;M|}0I(ywF)?WqhUa7?ODXMpDXJN{?s zpFKxD6&b|$vGn%e^>uUsjU9Fy zK`L)k@%XOHeu%dG?;c;{BB0U-2gl#v2m%-wlSw8?e4ka%DUy;{>zZfO0AsvLaO#7? zoB^q+G@W8nHQLuU8vehczP-Cqj0mL8@=1j<<~EAjL~avVKX6ckJ0qwlvrEH*gJ*Gj zC;xGo|Dwhe$yxi@gqw&f)wT-2w=An3tyo<3xOJja={Z?lNyJRJ&hoF&B__sf?O|V3%3o` z7Z=Xzd!!GY+@w&_*WK^VYC?!GEeIBDcm54qc)AVB$#GSQIGk`LYkE;JZ?}_QhNH#qo`t0IA+q`RG9lr=M@4GJtjx#v;S) zg9ibQ{Oge*2L-_T`N{Ljmc5)c9UH}9L$UWPUL{&LM9UQ_tt!J1!ZTJ^z@k;jdERS*yi@_)eh>_<#jgg}5l zO*qGNHY^s00H=a>v6oRlR1V7(1SjeK=$vao_@M5>KTYjxX9?O?06z$LMD~b5MfI~T z7vklVMT-*1U5s6^1UCZQj@knW3+1it)5YuOq{W++I9ZLbeDj1$nH|Z}NRiyS#n2ih zR1zx}2F)HZJ$iqF&c(gb%0!hd+Ys)V%I36u#l|+|w5sq4nt$LTMyLIKdK%0!VvF+R zdN2oq?6s|U*iiGi8w$(uT*K$8#;g=qr3Qz zg9H=Ko4OT5J3`zT1!fP!n0k0rl+*P?mpXQ7KU30JkE;cg9PN+4WI!6g_KSMHNrj=C zn;XhE{;9c9h=`@G3<-NkBl=Fm)5`zDQ?aqJfhb}Bt0o#eijd);)`|nN_V*h@P7{pR z^dV8)_~iFv!PcN;dH`DOtVwljcfyEq|2FL&P}vd<+$h%lEL z3K5fK_$=FF+z#N_{uj*tQCX40Mh^o<5ooMWrX53i1J-n5DNrC_vI~^-^^wnwO^Rm)V;a6P__pdu?CM=~F1vtzldq*>z`aoamK85k~pX*&9e zRuLO<(NfT@dgLw`@fau!FB9CE(kin=CG9BzSg*A z)<{y_@z<_>@=Fv`W!d5}m_sbRZ?4pXgA+|rl#$e)fe=k{J7S&@AE4@~Y<>rP;Ks^{0`C}`irKIYz?IH|vCIv}kk&02Xs~ccZ z6#bduM|5P^;iB|-+6k>YzNBIWjPWX~wyky|hdqC;H4kS}S4YvS0Hedhjn#q!BkJ8xSo_Ob!XvDMqXaUU_%ZE7Y=7U!jjnk#FadYLv;wAZGW z0-0Q$kdG5fg-6n=0(rk;S6Ex6kT(YEM=@IsEzz{M)B?AOy=x1hlQL!v72(=d?Uo*c z$hjt`GbPXOg2lGf5Pbf5IVvy;M4&7*Yn)CLI;kZK{EoMuLu^vTo(4OHGjmZw1M!>J z`udHpf2u9Lx2-~i{`K%-Q>jK*8v;k1l>U7;#d3XHo82q2mG3|i4}<+WaqC)t1_uOi zLJN>ZcUPydJW_p#5unl!%^XLBh*&SK0Qwvek~8sNI>&!FwLgD2ohQ3>RG;M(Y7NuH zvt3OZ|1?(gTxZU?z+wBIgxUj2}|wF%FLFnwtSuJFGxc>+ zC;A9R>8;le(f@_p!7?pw**N|!rjk#2h*EXM#6Ack|NHnr(uSe4b-6z!Yi?zAuapNu zbCT6c77woyZkuNhCoN}TtP?&7VTyIFmQdoLsO<7@P+}OXFm+Otf(9WijV?QaXWA1| zA)o5-GCO0T6#HudlLcEJZfVR}5X7e#lvMNSW`mKsd{k>~5p(3y2P8yi2DclowVuX# z1bi(=c?t1-dJrokwRaJ$>ApdfS2FuQY6y;Q&~LI4Foy53SNc0|PAvrQ9_kk!TgxJ=_=b85GuC z{`28r37VTiNrO>!p6k-}9C7(|J}meS{kmIpDv?&#P)r_198)#p5M5xi;|2a0!T~xB zZV}nQk&I{->uW*Aa@&lQ{Rxm~>094-*NhCd&T@D*UgivyO_g3)}tBCEeZ9 z-Hmh$$WYQL4T5xobSsU5NDe88NOzZrbTRAHH*BF42C}cf(`L$R1vsvi}j2Q(lX)<`i48MT;9?Lt7?~@1VD;~l~ zrvvZHGd%KEny;$fndEhII!W>+vDr~S8KU~WAl^-dMQ?Gj%9MZc29snEsAhocHxff1 z?fZU%4LoDX$}smM)fxZsU*MBeT~2aV`Sra{uj$>pCQkKys74-PKQ75%+MZqo`E>PK zr=bzI@zURf62q^*Gk#i0kF%d_rI}j$Z6hv~{L;e3w5fC0T@eV)4>^B1Ilsa*1z7Pioq~%*aM?rKMZ7SH!w2 zxNe-O4HigoMT#*>cfT+#g+8D!qFx*)dk2O_|6vF=!^RtgNkO8k(FB{-@aaj)9f+37 z%_|`$&1*Md%+`#->G99E6E)l3rhFBCki%p~E2z}3Uma#YLkhJfP)+WeMnN(Wbo`z0 z&>*3X*pd-GRC_FNBsFX2@@+{GgKa9LV^!Hqjv*k6X-pC2)$7&u@3u_+PUt0GfCKef ziL$kMocd{r;DTVbnt>3j2Vi$Uz=|%qFw94<%C`9SH$s5{t#*g%c+)OEJ&B>KMJfN zYXGN-J!t6z`apWCVWoDO89sHc@l5Eu)$%|}n?y>#hl0Y?%v4H!h}QE7s|5Hi{1!f5 zck*u(_S~aH4Rw6j5mCB(+gV8BQHdybqbws_Omn%jF;X}^zLux~@l_lBTg3B@v>#bj zB`eoHoqhH5Prm2dV$THhAJ9nK7F8L?%=>l<<(neY1{OVCe_K?HMTjpjWuL1SW!eCl zWtdHDjM$*ei;p3MR9d>#qLppMpl2=BirhS_G^xHjAUehw*2R_(kpI;ScCOgDRS+5} z6zW+njIn{%%Qq`VO3C}GEKYDF^u5m>_}nm<9lgkT{>n` zj#_jicfzq1iYRFF%t$jm*Zk7dw=O2ehzO*(0y3Cgy~D>wUH}*Zy>5U91k$lnUnYiR znl?h~hL#osqImC?54%dz{@17z61w;_ws#WQK4y@`>6WWaR>Y^C{_{<7J3T5jwj-;Z)_`Z>V_|DNGjD?Q{8kPMf~LHqUb9Vu zGf)s`N+D~(`?{GfA2s0xDkt3+S7w16$vI48c zML3MMH7i3lb@UkI()g%^^{T`o+R$&=omWqGWalBYGdD)WhG7= z+_S_MuGR1n0(PNX<0`v#(*e%}`Lc(`nb&#b;PLnS*x_iF8Gq*ek55Y3fp$zQM+TtU zARBG2dvLeGleRCBl8>LGBo(&`zbKUnD!zU=mw}%ruKpEA zS_@&ky`z1Yq*blUp`xOSLDwAT>j#s2(w3t@=>ZEJo!%_bq?lN zy187z3n1$q9D|33ob<8d3SluiO+LqmPKscel4;L&jOSWT#-j+`VKQ8- zFL{q+)%A)wN66N%=SIJOM~~jVt#Fv+Jy@a<6Ps@}H)U#1>K#$3Xt-5rE0c-0N=-Xr zZRIn0UogOwe!MgXGV9$%i=1?p1hX`r&e0Cntr1!iLF08kG!NGM`jO}XkeH&*maUN< z+hW5+@zo|Re7ye(o($N^^EXn*`McRN*ow$LIP{YK7fFtTb=$8+B?F}?63OZi=a-ik zec>$(q(&dOf42S8vm~yX6D5ZU^kJPsu(8uQl8{NX6Y#Z>4J(#i0YxQ?_{SF^`k$M7 zdn!^&mC(>w39k$0}gF z*`0zZqiW+~-(h}QUDkR4@4?Xm_n{nM`IPUD2PTou~SsaS^5n9b|8)x#>C zIC=5cJG2AH82=o5>fpBCqhxY4ATVoO-%;{(E?v!-tG}=3gm!{4YHX*eEq4Ty{abh% zZd;j~llj@XvoIx2G!T$rK537prAt-H7%BxrW6+BEqrKBUWFuFRl?`;40O3H9xW*wM z;4BKm3_8@M8LkQ)Mnzi~Fu0Mb`qncCLye(7*_Rfx^d;9*m=Pi*HRIg9dp=LL<7y&@ zK6uM$1zg#l7sLBFvzbT=+_&`uC)!?l#2~)0t|}{1Hf3 z$#^=U+gOv~kU7NC`qk&qJK+3Qvfnn$vyNn9d_3jy6U-{ZHloX&pWLVALByv;h{5S^ zpvq9Z&~}DJ$s6@IxKes}K9TDN5R8rCkFJ5-9oMA3*29UN2};7l*sKr;A6;JS^-7Da z(c@75y{gJ&A{}joW6kV=cS`{S9%|q86B(P@IY)x$HCg`hb{T232aaCx@Yn&}rC49d zfJqR>ryLKOh~vk>#Uxlp_>t+X5GL&E zvvhsdzm+k*vJ)Zr*kSg3IDiFWW$0k|;zk+NG#{~7 zu2l+hpZYgXn^8wZ(j(Ei`Z9d$;>7Z!X3_3twh_1OO$iIU!_I8hXk>YjNBO258}Le9 z?O0{}bhzdg>0SxENdC+MWYVQm4uBN)ZR*Hdtc$y%pZo=?ylow04w7kM9fb)tmDlsZ$|A?%QX==(IH|@u$f~efkq@e@=S@`loa1PSU72g31=K03AS`#SII+F_hhCQNoNM`81MHj!VG6|QE{%* zfzG~8GWuxI+sL%5e#a`X5`GJ>Fu@2zT$@z?jJkx{M2-t7A+oc9LVMOz(qR_!bwtVx z70RDWexdb3(<{agJed|96)i)eDSV9$3?t$tGa7EyP$)!BweHt8&U?8mI@$VN&s=l5 zlgL+UtC2!^^bR@~IBr;Ao<^aektMqI;XJm&xu-^Jp(}Lik0^2iEI7gm?KL>-Efhwh zH!tBVHEX6XH=R8DC(tydX?NH!MN8HDFwL>KHH1l5`wp)jz~9zIUE3 z9l+LHdZo)8!}c;2#<1loNa6Q=N1fHKJSnm$1xbst>5i%(F|eYu6{RI0k_S5-LCM+6azLNf?J{F3QrHN`?lp5S;$_mO>&V z;?XVLqzQ3NnPPw@TnpH#6Iwb;de-$@mcunkzX83AYMFQmq)&brYsNe^AX4GMU5UEGyxMx;*c z{ZMD)ZAO9&`C@5ruT0=_0n~@I3dp?N6P{`CYG(##JiIX{5288>1BkmkzkG%*=%<1d zQa88fx;#?B_l61|WkP~Mlrpoj32ofSCpLq3yNiu*H~5vCBC>QG;0{3BK(-$%IS68T zJCCsJ==n20B#)-SGp8YMujlfWnF!RZa-aC%4q_f=Tnw`!;$MUg+kwmbK!@%G8QW8 zBn)iob40Ug2)(!U)1m5HWH*~VD<;?*O`X@&+dIA@o;6p9LJ~yl zMqQ8>r@NodpZYrHE5Iug!|BPk=h#Kcvm;5#XG?u5i*1p5Ex6kyyFZoq{TI634343JM>9NxXZL;8l>`?Xc{jw#zpcg?AZBhHBWzXMkwG>`?uZQ29 z<y`N48AAw9dlu~s zR}fU~#ZDE$lK9LqeBo)J+lk|r@SqSIBq#7k+Hb40k2r$xi~Xt9$D>t!sQ%V72&AMW zkJdC5jme=#@>vB;PXCgEiT@?NkkY^-ng9(uTe60+VVAbmp>;Y;sJ#AXTjzvDc^i7@LU4nfFOkfdr3@5H@-6)*Jq|e;U{@a&P;ap zOY`%SHV}&%7`yPsK{m#LTq{SeAfD#D1%MYlK`rCuVe^`UlYGI>!#FHXVR$8Ps9NYx zERibKEF5|^G&BV2@`^LihRry869b~u`5bvVA2t^I#Wav7wD1ftx+WakiJ;HC3&f|t zc=!5;4w5J3scY~uXz7HZ1_TBsyvGNHE>d$Fp+~?99Eo%L0m*~!1#FettwL)zGvx- zPs5lvV2$@+d&&7x<7s8Q?qa3c=Fv&-K$m`c&Ef$`}kxAMghIe z!@~n;uRF`$a6Jo2f9=GQ+5NQmQCV z|COqj1FKU&hPgqr@#HxOgql4FJBzt2i7h(Fk3Xy|L2Gbma2oh9&^1by=kB-hz%+2!4miX~$!JkrXni#Sy|ObmR^)l(P|Lb53== z_x-OkFR-IMnQ%@XpKS@BJ%CmCJQQrtBN>W)(3-8M-SF`H2;dZ-3wJ?IV1e*zck@W2 zLV>pBjjRU__x-pz`3tB}nnyW#R3_`l!oj61VwnF>VtDe)H~cX$Jt*hMoTI7McTdI| z`q0OhFBc1rKRZu(iEB0)8E6sKqFM6$^07|vC-PnSFByEZN!<$XxhV;+I&tH0~6 z;rsZvpDX*Pg;vhQ?y@UsdN)NAsvq{l?sm=YC+*@Qwhf#gIb0asc`^;>+YQ?i)oaUI zz)TG>aWQPwjwN*ew(QEtDKz1^72YQaN^w?CGV6<5E2-zGe~EbcK0sveZH?*_th`Xp z%SO}|_T3FPqBl=P)tT$W_BS1OXf+Qhk{Qb#2HEd26%YvU^L6n;pNM&l0leU)|JF6* zB4h9w;7d^**&1E_4SIUetA2EN7>Vb;CF6G%`D~h4tY~NkJwxVWd{2+P*gY67QnP9? zgkv^LPJ2cAmagYIBZH*f?4q2vA*ZAvmUi$B^Ls2ZwQ|@OJ6KF7q0|Sh#>U3uSFR_$kieFW>Hg@!&zczM-rlEx_Y;Y*=E1DncnIe!)eornCIx>Kc%7~vKm{O!%xjm zTDE-$xmBXu4#&#x*$X5Em2jT57EslQJ;lg#9=fAs&lFhEk4W}I)hqu~7fnId0Mysx z633E3cSLTdAc+WQe|i#_Vk!LtdMBV04p(PSiN^w|G2oRv?Kg7J(kZq#-(WBh3Nv*U zGg84-F)jFo%VIv<{_U|8$LA~Vx$EyI0tRyUzsUzo$1iR6=trD+8Gf=N8n9Gg8WN?} z*Xwl1fJF#l4Hef@SiZS_d&h#r;_rY>Cm73@lD!C#zPmk{RF>JXzoCcrRm!zfL%Z~O zl7hymLoqv@g(F&oCJbPz?VsLn-v%FuRKLs$*--17K!a!BJ~nX$kky|`XAELxkHqdC zpmyd&Ebqkgw5Rlz*o}!UjJQXG{UWbaGC6BZQ3mS~b4V?|OKCWL41F-qi2_$QrG!GOt@Ef;O1*$t= zb{oo~8KOOT?TaKA2dUPb`|{MFvpIiUmny;F36sO3FGFqWQwkBoLwcyxi_E1e;2;tD zN%RHsSIUc0JNVSZjlN$~TQ2NdNMRTtP+7}z&kbN)OQG$

    %avr2v_44o#oAc`lcr zL!~^2pW?@D%3&;;t%%=q!5eS+W}dUe*L25hlvoF1s5AT&RC5N|j(S_=5m3Ap4R#D2Wu%PYU>Dx4Zcf z*SI`kOj3n3klQ)#Z1d>)B)Y1O$3%jl>i*~J2epASR=B0j< ziy0O++bgmaf>9eKwUbzP5kD+KoY43cEK_W(DUb^?=FFc>MMGnzM|j=BW;9$ws{4m} zBUpxy6XlOUb%ezO^bN#)3l!8i^(fv?o``U-6$B&~XG5XRjS^|Up(3xRffH=Ba+VSV z%DpVKO;%#`FY=3=%q)Y^!NFuU(Yq`ji2`HeOJG zmm0gdE9|v(U5hlNT5bTbE}+oanrV!ve`BW*sBtMiAjfi|+U7zc4Px&hWFzF(WO1h+SlfaWdnZe0Vpa zyANp0UE|3gmD$7>is*8dx;Nx{HYtDY!eHMUuOX~>%=hSGdd$;VQ4x<*6itkk|JYoiFf)FA%l$FXpqg7iMhuZRWQ zvS8W-hE%VBixIqKl)<%PI-zqvv>;(njS_Ver6N&8IDCuRIUQOG5@WLF$}uAG0N4d! zLn`Z<>1leZ7O9&wZJgdlo6Ad@BEu~H>qUmi*gW{}P*%f!e@>R(kOfvV0~qEqDhbx{ z)ib9q=V!&Edv&emU&~V|{zmC8J{Kzi`J1e9fG_zWFRzTzIwsd34O6(By>N?f_fxza zPnGV|=oC3gsie|&wTt9cFeNQZ&3f0IBSj*kENr%lOOxzBg17Pt6r-T+tt)=Sm9i$+ zhJV~u7iBheo`L1@i;f*$L#mhf3gHR&mFyfMV6kf8zerPA$q3By{-f;jE7U1Xa^lM$ zYqg#UogYLxN|yX+Izex#FJk zP^|1*5I$A^h3E7@BHCLyrO)H{rdL?%eq8^yCUQ}U+wx7yb^TRw6#=_k+=1c*UD2X` z1g-1ui;dn;aRd3IG=7;gwcf|>oRJv&o4P#-W8iue6T)0V=KJCIkulfTot`62Lz=H2 z^sIdESG8N^`dnCwa+of3{gX-hFLXCbhv>Up%D?{QM5nr7-xkukm8ERLVH;r>;jh$F ze`d8JrS6&jG>Rr_e=PA-TP?K@Yo;1F&UGCt^awtBbke*KejUBVz&Lw(-pjN)zU9H*!W0J<$|2F5>G$c3rW&0H&6q=vi@=f5ZQN;oiD=sEw z1A}V=q=kPk%|^(c)L^YZZ&*AEZ|ML@>J*9EtEG!a44LR>ShvEwgz?2ENK1tN_u$kL z?Aplb@wd_ODcKZ-kI~NnD0dGZw!?7;9Pk%{(bq37^i0)eNI4*S)T{T!uVU@7CY_O^ zeX*y;K#j}IIvw7(~JJGS{;)Y{Joo%x4b zZn*ZOc2k}F&Zm9a#Dob{xcis>?xNa>3Q^j3l1;k3Z?%M`A=R4NxAB~CphtWCw!4l| zD{-O@6y1D%Q@J*k-N*-C3%2AIzr&5ut7SHp47C{|A@2weHL)35IX0Gs9=&}1ZmVr= z?zl%xbs@FtQ_mpyEIMFLVij#Ij^_CRw1xMcM`6-*)uI8u)e|8~$ULI!P zuJ;l6@TU#TL8^g`Tc~{KtI)hR`Ny`K9Gmz3cFV`tmXB!u5nQ{4NfbDsJ|zoiWPap( zp4r06!wZ*>si@=p`>(bvvs_W#a9JT8+J4%;reJl>ixw!1%UW`KIkX0v42%qdyRCnM)Q{=cwp@us-)Jy!`*BtJjpp<`u3r{O{?B*}E+=40hPp)%nC8q3XV(k84u3a+?~tu5qo>op@QTX`FN3lwn^ zH#^`9CyD5q>HpioUi97Z$K0{G3)e2obDEI9idx*iX@2c-VR9ZN#eloOxo-u5%+!uX z69EEL#Y{W&?^Z@eO7kD5`i}$JaK@#bHPPRP*ReC$dB1)g{;LNlTkWFikt$Yd*lbRm zwix`N&;Nor(sQ+0^RKvnPds=LYvCQh`_tO*as3Jzdd8>Nx!}^u2 zkv>r$s5%n#c90GIc*%GR93OBLwgidasUedg@0pwC#r+~E9aOgGCxG~H$8GHGp?8|< zK2Y2F_XoMdLGJep0Y}}8ZBVIWCzheE1!}DKi(u0yD18RvY6y|~{rK$fzl$6V)r{Io znDNdHqhli$nIl5kzCMH-vb|#!Df}1eY8y#@Z`HhSo+OkdIqNqq5Gi1MCoV&*r0CE8 z)r^jqNi>7_dX2%ZjSs0K_C~{q9?HFY)y-?-iClZwQ1{qj2ojMhrn^HK(2<4FRh`AT zseGk*7Q!i-FuQ(4{M^5_kiFHTP()g?Su$YCvt9xx-sCv&a2(zsf zO*%_o#>h6dc;b&4V-m+doiK~;JWAuSQ(Ghk~ zE!rA?uDgQ!@{1uP{N%7y8S6N>qEO*ar2Fj)mw4_lp3Tf&MW@i6uumQDg@2p_XG84^ zdS;4?e%D6z3IW7kE@p&ESmT(uJ67@3zTPx{h(SZnESZ)u!3%uyy88NvLcXFz(~JbA zXb@$`D~^(j@dWw{<5bES4v=BZ?|l-NFv?AiQk90>Y)t<|p~*t=QzF+47Lj7e6G6r%kzjg;vYcE2h4aGj(7WI@dY9#5Jb8Jqr$l~@#ZMeqq8zlT=99Y z35M1?&^4OlGAw-J*gT2Wg2y~CTU2%Ls|$$}D^)&5z(O8M{M;gcCG{IDSEjVa2WpT~?m4sn3?)Mn-;oZF?YMJVw*e0o7%q8V05 zKF6W+3*!-ul>jI=#6LW)p~*lh&i?J~0$Cen0f2>wLRsZ3*SNI>Bie%`cBd9=r-Ow=#n`0xvbs6k1I`Y zsnu_w(=auBHmOXj8mHPhMH=7tj^+8Qvw>?cB`{{ty<~jkDe;%3j|4sCm3#}F``1gD zBoc0q(PxmA6986UnVsDTt;1Y`uXRO$CSEmBI2anx3#}`eK?_GV$J+|k5EDO)lVow7 zY%?=R(hBf?(E87}i(_Z1Lv-YwOQTgHRe)5#{3kBUG2)!tJkCn2*N)(`9}o{IGZ7<#oIgMjGCTVv1C|sL1SGET zp->`l33)d>?LFcwza?5>`Zs*|?agP@1YSvt0^I|6Hfz=cAOj*mk)Oj=l52A2sA zO=28nsRl>xe{U0q?!E44hqSab}egRvc zBxop}SXz;rfU!``?B5wrih3*lY&u!s`?oUfT*kf9`HayDvk2woE?5A;XeS{jt81|M zxdZ+CAU_b$`LFbpdI0&^N@~hmX!15Jo)|yu{^O^w`(H8)k%%D+E zxef*8R3mU~0iXkTzG?>JJm8N=_+nC0fDB)qP3fLz>EBBR{)-NghC;1?U@F8%#}WD0 z0y!p;!nfKE;5Eq?{N1%k-?*HK=HJuR)deP@Vq%}Z6#bW8mMK^`MLoga3?4VXJM#dV z9uFCc#H8fp?7`w`N8o=>-o5(=6lj%qvlsUOhYft`uLCxd$u4VjWipc;$gC|Jh z#k5wbr?Lr198m2u@hxaS1$PV>4gn)>ZD^Lx z*Hi=I9cM*Xh&u}%*aqFzUd)snIQ#@+L!TJQ3JQx+FIy~L0u31nLWj{V7*sLis2wh zB)aO%h0#Sm4T-cMUoiPLaOL1Ku5b^`gmmtwWL(DKN3*0E(*ehAjV&z!AoDb{2Hv;w&YZrf(5?y zu01F1m`0qPJ-_f4__*6-p~PcALA|wwl8TFkhafp84sKAtd~?84skvCfmG%wUyq@^T zHBnI0@puNvVUCRwR6bOdgS4HZYhZ<>;MCGeGCw_{Y*Ibljah}andsG&$D#$aY=1kx zte-#Jm4S=N&pbW?4>X8%0NG$gs?J1nTNYKMsemKk?|%p6TV_Pq=VypB%IFAQs-hft zF|nvf_}v-j8&4E@7;TLZyE;@OR*MisIOwFGS++=>c(tkXF++}Js}-9t(n3Oe0`W1B z5!>(OEgz%9QcTVZSwZ@D$;QYv?jSoWKk$WjG&UL_l_a*drhM)jmC>7EvPElu)W1Co z*U%g>c?Sj&%!se5UTyvE9UZP4Copbo#PbZ-T~P5V zgb_Y4ej?mSxE5_o2(3Fluu!2G<{XiI6OjGaf&>h_Sm^wP1f7qGu(Bd>6@$}140*P2p9rM?g&)0xG%3{rt!MwKa(HFDFA-XAU4!Swc@(TD_O-HSuJkU%>bF0DrR-#@-79 z*;0L02uO>$GUK|6wIXiyO!q!4oZ>$=&^2nrXvtetOi^fgr0e5gNlJ`+EM;n_3k0Ha zC-{>KnQi*ShIwNa9(XTad$*`^6MlZ(>xl5o_U`$G{eYA9?L*vtaUv$SwA8b&}o==)*<4X_ze5D_@OXMA3EvCmH5YSc~(*$ zz#Wp3aa)$3)y%Ra<4Yh3zvP{#xLEy<&+Ld|!ArK~_Xzl*`q0bF5J1D`&mF7dJg2&g z=j;lu02weyD|b7&Zg?u4PG-3qsIKD3QE*WGxJj^=eMTg$bQ-MvXbUWCv911++=J>V zk`wt-0jT=<6Mk_1Gv$yAWiSTil)l?z^i_0)`@uo$;Zy)EzR$z#iJ{c>r02EyrTeyT zAK5wrIJ#JHqPf$|H3Mto-hUl*m0WCoGTJy!juYFifY6S+r6V3jP|`sY@P(N1@=DqI zxbl#A{AfpMMX@_|5Cavvfln~&Q&pvIGLJi$=xIb^u?6A86 zgdumcZOnvK&YGTtVxi}K2lM{3+heK{;D805E1$Rb_1q$4g~Ps9N~<#rs_nNsx%u$> zT_8OHE=Aj{x@;F0moNIHhA4dKgk~^jYq#^;LT_Jjr4-3!55*t zM(lQ?x$`_URO`)K^s+L&avNVp0~S7|dfR?WS8BfgE{nk@I_~7AA&a1Lsvy=A>eua6 z$e4cJY5rj%v$&Fy#gZ|xRp@nvPoSY+o75T9Wd&~rZq-?Af6^iL2VrBNE15*v{{kRm zdwS#-=D5{U&>TRAwIT7E?&p%?SG3R#C&G3^bk~^KRphWw17L-AU@$$F{}p~S0l$?o zfL_)-PIvhKTTmo@fmvI-5$9?xvl4!S_)K~L6!r7PFi;Ud{%D44Q24p5U3%-sBAMKDn$IW2p;8+&j#3B9wV6|f~M9no+$}8$rGEL-Wk_3G9Z$TN`eEK5N zQVI%1318UbbcM3Af7cP==I!!FtN$tNQ#l-GJ%^n)@`2c-N{>UG!&zXpUiwXrWEb9kO#ZIc>k84`Mt5`CTY-yyD^S zncf-%9k`jN=LS!kT>ZViuDN)e+OM$fg~8meulvaq^%SfV6u-5(+pqz68Fl8Nq9ApG9-8zKp^&y&#ISU_niI-I>VE)h) zaZ$9`A1JgaKg)If<)e~h`_vcDf20pIIgFI-Bdi{?w=owgl%b_bd|~y?$&={>0z5zp`Do2vBa# zzVPOHIBbopCXj^N7*((W05S^B%Y-k>t^~*;KL-~XS20l5z>tPL?mvbV0QH7axRV+Q zYMX}I9*c+E!B8d}ElhiUhe#0{O7YyYBX8o!KoE@~BDuHj_2K+<7n7L z+>--CaIUYAw;t&5@UzE+m2>{Bjy^hnzR}+^qhx^JRS^UQmGqJURjX0WZb>f43P@~C zxAOU+Jp(Ud!I3V^J#Dt-(vRc{?Eu zD0cq6|GzKDXCF==AocFl)0#P`WxFtIq+%x&s3lDHAKGsG=dh3Ab|{z3GkpdN;HR`O zNK;nAC39U?>{r@HF~P?yr}iWL02d+nFL&bK%PPGC(f{`ew>YYwA^-Ew|Gp3(6$+Gs z|G5BgDedw5hBfcr>-d)HFO)st9=-7)XeQi4`ovyvg$!gEZiepg~tO7oeLNj%`>d z5gC&eMy#mGDyMbPy#7v5ZC17P;YNVV#z@>Kmj0edbietl?NQ1_E$QP(`wiEx?ZpZA zR_|GrYw;S5vL$ESw$~3aKBw|a7LTT;rnVeU1@akfGxy7!5BsKq9?vg3AEe1>nYpKl z8PptkDiD0wf&Q^p8okk0T_u|M;C&MAsvUHde7M+rRbDb)IKh{5UCuCGsE{KbNyuR_ z4Sityl@RWKJTc)R8VO_e{EvUH*yhjf1F*lm^5uzhQUyc6e{X$$!u@L@3*diW3;IN> z#5BI|zqh_zW9h90n$Z9GH1VU?90-~J`{K}7T!sGs{qe~ydnoJ{=X)}Ac@tL@@B*&d zS3~EKOY)O9n1(U4{|=T5bRcT}{~Y;wnc^tV)_u9<#DB(c_bK{!)aMMcUdttEYX6S) z9KGlUYN2zyq9YFh&@q`|1WPdn^vFZZSd;X+N@w@}SpB-<{|Mux^UvVo71FX$i%--` z(B-8%BEb|MYO5AZECc3_uI3M11TrchCHaW|JislFz**B_;TVv(7Ptxkq>T|2fWbU@}_OvuEA5WsI0)MdL0(FQU-(uCb{} zimn%*D`mu{-qJDu#S6SZ7KFay%b{(zyCt(y?ehmZ3=bh>-q#vCf{)jKXQh1H+-@{> z|qIrlqw)Zhamqo-Qo& ze6(*Dmme1Elb;MKKbM`Ws;XARJ%)d1gFcp!kjOcriAm68*&KA@?fs};F-sA+<1}~m z;N31yCtEPpYXGz1i#|KOH;2@E=;^(9*>?E&L#G0I4@dW-M=g-s7Y~Pjac$c)v)w7@ zMep_uxdJ-`J%7B-yl-!ZV-{@?1@(U42Vx!rKvkRKlP^YWBYpAydNKM_L<~T9)Pwie zj1{bC$8;I$k@B3^NH%K}@Pz@;W0Rpy5>Tc`?;Iv*8h2wYr%8)o+EtXcSr68{4{G3Mj+2y z$JCTU{!lPwKI+!K+#bNm?(PaN^HtJ6Nly${&vLPO}=eV$l;PX z{QhAE5RLx(z$MWA81WOGb^Uxk;^z!xP=(SfY>rx~|MJNM z?aN_t33XTpnpvz>`1^bhxYM468NTp(YWjvr^gtM`aSv)5>&Rrrc#F|tnjERl0uOs@ z`|)4Cai`)SgL)P{NfRQ#4$%xj;Y_$>CTxsw>H+-m0>qWel<;%n>dl)sIY$_af|(nv zCLd2)V;)j^jA`7JM9+G;dPk z#s~|ZQlcGPdADv#6@7@Bg4uYZd13Y<2%SH4R`5Pulz#yo@YXN^^8}rIdaXGBLN7<) z)rVH`paU%X^WsD2BhNwYtwI~SSGnXYb|{53Cem;e@#91>B?e`}erovgj^7t}4uDTv zfobdg#qMsJ8_gdZS~-d^tnW@6E`nr7-KiSYS~EnF_b;o$LJw`C0)Ca6k&;NrRJ30r z@!nOtlL!{r?WNPw|Hi;u?EV-LaIZ+}8%!)}qCG22FOy=6;-!KyzCHVu-5o=AfZH^d z3T#xN=##tp-eKt7c4^9p$*#z8IZ|9;3)xJ-bOtYG6Z&7(fUt>E%_Q=r}3xR2p18x9lhH(KMH)qco?O9{? zCv&G)-D7rnw})6DIU@KJmosjm={U77I~GTiA#FUGuirq393)V%?uY)277>>5baFwf z(S&9m)UVz9b6Mm=0eX10uh1rFVagqeZ0IzxS$~~ zqzpK3nMbADI=gXi6(=#lk_cp1zk7VG9%-0UOk+nnub3>?Jz5e%4OM)9Xju1U6_+bX#%$rMSfp6b40<_rEb3^gcj=4OTB)9c zTNin)h%9)iCKkyb8}Ke$3(qd~$6cf*%7vF;njDN7`O$1*y7uh*1nJCj{I}%IgK;ue z(($2@Q#-MvZNMv~ON?%twU&Dqk(R9?bKy9QBO2jY8{e=BVq7IA>R z*wejalF^F!@!;7_>H_Pdv9O*%b2;C7!qWv3gEGJS%xC0Mq}@K1QgQI@3`NM}|M1f# z7P@U^A~OKt$F@v3 zQ%0hqqA)p(IaB=fgo}`PDA)G=l9oNJAQ*tZu;lzmx3#Q9u>g%*QTIboxP~v#G{It z)-n$0JjG~br^wTC4LyuM2`&?d-STs{WH7_2jp6=7882vOdr`^yE+qtl$s&GHMCHx; zO_Kr8l|e6QEM;1xyA>TG7vHg=%<;n}LIDW~GmH?x^BqpXPW*%Eq)ojv-GK|=hQBht zj3uSV6zdM*n_Z9WN-mX!3hvix0f+#ZEqUh;UNQc}Qq-9=ZCnc0jTjWu{dX7ct!j)& zowC=zwQS-uy=Bf=*ksISj5o5df#DDjuY!gjt3#7q5PW*xgYEVvZ`qIOj>hOSFIjX6 z>p7t7r7V2pHBo~aa~ToFfomn%9ep;7tlt=S+udk&P1T1(7!gTB`>x}XCQ6sXkT`L| zQP+LpF}HF=_4w4Zl?G7igl}Lr&4b1&vt*{l0xGi>FSS33{bVQRs`j`#R2RN)@PIj8 z6ugNMl%!kj3;57>?SJ#p>(+_=33Q=gUVe)Ebh!M$mw>=AeTR~14#V$xZ3q3=(G0ze zMCxH3L>$7;GL2pzrJCcYa#RE^Hcj|qmF{C9MVpps;E<8nkmy*MnwqM{vOKHV-BjM4 z!5%inlaB(AEt{+(o<(Opps;5!-0gu}qn*WFxt_J@Hzg!EE%(zwyKiFR_1)9;_2-%l zqG#|jF`M%e^~!IZ=bjP)uPE8Pdx;$?bMSFNn^HV0QmTDI%R=6RlUH~A3xGr-#-QjY zCthO#AlBaB`r(DiIEBKub!OPDJj= z^K}YFR0yy1+pV(dCU|_@&V0tm+nV{$_j@H;`c;r*@>OD{aQo2pg(Fq}`@~GVb)^8( z&7|<~cQL}LJV`Qo1R@|L!mxdp=0PKooExooLnyw=ml?f#svD)H?+?;y9z7w;!Lw9S ze{gTUSzumXpBNHRws7@gneBujowO|4fRKtm6g!LRR){7yV``lyfjN|2j4#m%%Oj|2 zCG|fAPKVvaA?BmnGIGhVS<%vCkh~ffFY3?Wh3yE%p z^NM{KX-N@_ubsL#G}_(-#}cw$*VIznZ^d}RUSl}V6;4c(NK!S|5W; z3XkrfFzuv$>Aju`SFk~i_#vVC&M=x7vhUIq5syeE?G%$3;jCI2=S^#}>5tW6+wJz} z`~MeDd~bidu({`x_(2994jx@ zz?<6=Hud1jqY3`F4K~i*!nlUZqDLJ>iAaS(1!rzW*2Q{-YbUry_^?hRs4vyTJ&)h- z;A(J-pR?4O*~*e8$AdBsw{mlT|1mF6AY*Kc0$%M2T3C#l7t_B!uf~f;8iD_p!sMF`;jdVJMOH&BjrO?VZr9E%0G~Z(9+Wwf(?1vYp#=!avn1hAphBX-4ezvkvE~&tj!Qn;0{1}QS{9p-Kz4lW$p}|FEGA;`u zM_@(XDF1|-Xw|Cow=+C$J=(37`2%v2f=ZM#9vlz} zogeDguU~ELtJcxYa-2U0Y%kN-jRe~#oilWd=j6O)oc`zYYE*;)xX)7y27UP10sy_Q2|-5nq3CD9Ew$Ex~6h$f-;soZqH`bLKGn z9TWZ)C8Kt5PRxd5mEVTYMAg!?3Rlm)QK$6xt4=n*7W-BW%dPlL#D(YFZyNxuTHD%K zZU7Fej_yLwi6m+UPuJ7w2$eKT(%&wR4YH90_NjzEv34PrMDK*^uT)4|CpHya#s zk7F6-GD^GciqYfA5!{Aal-N$q!O$Mm7VNw5t-FCUHgopNV0R)~YjTeaHMZ8Y&;XHP zU{0O4arc+b;2x|8Nt&-QD$9AA{?~J?AXPkUGpX4O4L@-1BgBN!YwBBKdgp#Nd&H4> zc7P%khAPa5Tt|@a+KR>s;8q6(*nsIT0^t~3-n5u);KMPtaK`rQ2 zl6%rZkOUvwzmF;284r58wSF+c5icoyZ3dTZ;4SBwW3K#rr-lA(oCbe$#|jlbdx+>5 zq+zfi0=(KvopAOwC@3gk@}fO)%HVpEKt zh6a6KeNzj`O4RxTu#R2xzKWqVzbf-C49%z>_~V{5&^TD0ILvG8Aj7>nv0EvcmZ88j zKZ$6%?OcefXCI?gH}Y#o+t7$@fTH@*9N$@r&u@$uQO#QA?SJjQ7_==qXOa|-fPJ%u zEVeF3TNvtxQ5zx@xtqH2RfF=i3%8t*U;+3KN*L@}2fQ7i@PJ>O4nu5_$xHiY#3aBS zE2{nTiAco=;lt&43h0CG%@oBgA*CisxaQDI0x$o7#Omt$I{YtzO3^k~lapHV)H)WM zOl#UK8Wb{PIu0*P`8eLnzx+a_KMXO>bvJl~nSC4_6VZxKiP-0aAr_$(zhtwR`;u{W zL{ck;@rgo9`iZwqZ7pkKMBBw6g!Z9<3Vh7EFBH%OQRZ`fGZhtVXUs=}Sm7%Ji_<$f z@w`Pda3fcRUqxCt<&HbzC{eaTf>@U03Y3!RJA-rgnxGMRn^Lva z$;xB2(@?=&GiILy$?@5e+<)9qEq5L|p+}jeBvyJYy{9Uc+?KEDp{MIY?Z(WuBBAh(B#guHYI0fK zaBp?V=y;Uy+c$eef!9U7ZKrbxy^K*_&gfGaC*=U8D3k>AS)t4;g}n^&>b z>w4n0J4)UUo|IK+n}#F~6K`SUG@38QdJP%kT}ozK(S84Q|3}cOLelqXVgq>r<1idd znlUBqx92a=Z-aR;Lfd?CFgE`T+1<&WnYksFUi!8$I29@2A#D^F3+-A3=Q>PjPq@TO^0w_IRF`^j7fJT99@GclUcD z<#V80=BYS0u@bR{g*}qMBieS1epy2p*$MM0n4)V+bIw6Pkb4svog!VMwb5M4OjK?t zduaHJ0rt>LV)g|#>m)qq&a`jX7Qfc_L5XUW;cK70aeF&wy$Zis`y)NhtQ6$GtAEna zM=;aPvWw0jhV5VV6;0idFs}Uy z47Yj9!1VjOTN+mT?%dCdRH18pmY{TSi1&HqUF{~iIMFEeUarcUS6&shk)S7&_hKyd zB|7}l>UeqAP7_eB2kmV**47zMaY@Jx9GF(D6E)CYA~k2qxYf1c<5&+}5@ zHG+yfGkwauMOt(~*&l0$$cM6Sz=g_)^gm05TNwPu18o2nuVbax!I_Gia67fhGJuvj zX8LgS%8G0slWg#BH+cb%OSIXwCOJs){OQHOj3aww-!4Ta^>I3+LGnV@ z#Qfz8@;(#I=cC)>6Xkkck}xVgmamMaH}8gr%;78$e0{|!LQCMDsNNY^Vb8%|NHUE;;Cv*IKx&J3e;w$iie*PMLhbd8JYN0nE=69OCMIa>?{D9-EH-I{Gm5rf95bP+7IP;iJ(fwR$dA^Ov^do1!6L ziRD2y!Pe_^kOs;!{;4+oJb=})KCWNk%Ml^DUDmT(xyn(pOCyvy_URinb9g(}w+6~s z{QZyx*yB+=`MZ~p2x7Z)7FfXy==OhJ%O zF&AflXqpdSG8(Qe#5F2~G$+%uCUhceqH{y$Z*}rY2~j-}$BeK!oIbM&tErZ?Gt&2- zz4g$B#E-c5Vfj!CD5T8~L}wv#ofjRxmuHoV<$v-m4zmnlNbqJT4YY?9^#u60Jq$njmK1Krq6eca$^b@HZbuM@M(-_;dzp_b?}U&!@7^LzZ;4v}CAbHXMo` zhL?gPr=S7o-M(zaiFuZyE`{7>;sPBAEgfCmJ)}S8xNW<_l#@rkQg;}b4<@GG)77*v zcgHp9hl45IXZ8RWtg|IWDr^cLWU5&+gulxCI54BlsZ6cL5u2KK9mAzKwcPOzhmOs@ ziQ^KVzJu3jg7jGaHW0kkfntZXdp<7Qm`C$poBdMOxz_axvv=Rs7b37&fyXl(H>tEx zz96}$diYX)4iZH}!Ra?ZuXN{dG2+KHfqAg1*K~LbrJ~~5%9DT$eAwi9pzWu_G*47- zcaLo;zcvr`0_DW*z$wXWz`@lWlpX&Y-*)u+JJuj|3^M)~_7<-?rk|@;Bmyl(1aPC2 zqrZs(wD#Tv18M`$C?}L+zLBKdzpe#688{ZBD+Q& zIh_KpVi7i$yt&hVlaBhA3{!^nLju@;-)k@j~j0QX&&HSdTf2hpzc|_L= z2kQ=&Q0yXnB5u7i2nH7O#z1WVGHPWd~xOK7!r zMJn9i175biPu@#(WHsESN>QOY$ffU#?{;h5EB>{tc+a#KA9+YI=-Wcd3KosKQ)bfg zsR?Dvgs#L04KX8x-O!L+eu}nDk_v&!i;{rGULd18da;)cI%QhxEsWY|5M#7hLlq|6 zfcXvQSzdG)JwNf$cHMbrui{+xf#E}p!EDicS-ihwF8+JiiPvw*jujeQ3kHp*1Q$J#K$7isi>(v#H8>ASA!91y;U*QkA5|gxHShNc5Jn9UCo?F3 zwj^~~s(@ z_awDY%oAzY-qVb#?g;@So>`?@1F@Fo0#WO4RM~E#Yru;4GGibLn~M>YutQ?{LMQwf zw(ke@Q|Y_aVBt_l?z-NQHumTOuj}?dt)9IfXp`G1HubMA$vQ?bWDJd=55G@u52oBKQA+l3y<$w>@ZSj=YsH~p-T{%5U;;x1rN)@W)# zu+aH(q=UW%?d4ilB3vbT7%r|RH{f6;VG)H}d{vH~0tjk6$2mkn^ENPPsHG45v1ntN zIACR85Vwdzc{JJTDs$hrV~J`>!Uq$JJmo`8e#>P~yA_1STSSbJnKV0IZBm#jnfSPC z$CfeEwY2)Vx0zb0e)NygbxoZHZFbseWSusNwKJiSeM}+SG%sz8VNk*frHJj+NMGhh2I%3fXOXFmsJ>=4Mvc4h1F;!UWsGoB_?<3g3iCbG}&w+9!8Z+ zGxe$*T?+1bsxiU2XRi|D)WGs1NTBiomIFSu)tZ*VKHRSCCofz(V4i_PgsM-t5v)0I<{Ot1fY@_#-;hH~wE?h)Fe0Ok-nvp@eZn?P=ug{!fAW1NflJUOb zlqx6Ue{SY%oiYA3&$iDq#dGVJY+Bei4>Q3XwCLRj*jFWvKl;uls)#QqDS?vuWhi|< zwDXLI5f<32P-6A+uTgeO+mMP?^&cxvB5KFHuP!TDOs`1D$mTI+m(o`ki$;gCTIcCh z6;1nLXWUqa1^H;+M4|fInXFx7ADHq1$Vl2|dpzCDvMth6<2f**d(+!UfvT;^WQEOg zPo*c7a->|VpvL~W)>6y0@pe{ZLYq$>;tFjp34ie%SpGPOeXX;vv5EXQQ|A(SzW?{% zx=onvRX+;*tajsQ)9;+GQ3#@CyNjxW*ui%X(mMQ@C_(-f9M!_@WyBrrRPEj zq#Vm9`08OItA@zk*yVg3zcf|XP!}*RhCwEPHq+XExJ+nCZ%*YlSPmUovL&m|XoZ1V zbIQQ@kvHp-!sTfw4sgCA7EyAHxwX#tt($8&;VGGFT-d-1jIG2yal~H=)~Zc% z3JGx~;&`MxF7ZMclEt$IA<_KhXA@By?Ui9ngguO5K27QUY!Qz-C1Imj+qQ=3X6J=wo75Qbvq?5JA6Y~?%f(TBv^_~4E+z>jv+!aAd zurzi=3WGrl;jE$%rCQC~{mn%W#ix(_{AHE-nHdz=akJAtL)YnT=jTCe8&!5tFp874nTQ^U+zb>X z#B`jdC#`QoUw_O>9G#8%5Oz`Yx(rVLmImv`_pm{SZ;(lLF?3b-&l_eoKb~MHq_CEz z0TcANC>p#eBXaWc6cPn3Mf7IUx*y?qEQT}_{ zB$cx-F+v_0pVxM$(X>~dEIkpIS1BQTNc-d8#4h+5jJNR*8L$hYkUJRj2@_b;uDRqZ zvnNSweOeK5CZg(cw6jH;AKERSR#KVt?fKF!^>+a&*j zIj?w}XB*1ExUv2|6s~&)7Za91Qg%bBYcY}%qa#WD0&glnHd35z7xx!f!=_!Q4lvv zMfB*)*cA){F)@oj>7%16Du;Lj0%!KTEmQls0;^j9d*|mkywRX4pM&4YT!km@k$ssX z9S7})1quyrd>9?l%?ln2UxHCFud!5Ve;6uo4SXj7P=(Eqy08V_jEl%Ves+!?xPTHa8yv-V9EK`k7LD0}lXw(FAoC_+~ILtb)akm`FGvs(C zH<_J**lFVJN}Q?xrG=<}aAy(Ly()BzZdb|od$=}cPgoY#IyU7t4Lv=ie_5eHDQ2y1 zf;p5Lv%gnk6||^`*q{yj%DO!L>Tpr%ixv6_2FLoM;;eIcugG%4Qg!iEDAHamaQc+N zxE`m9ukS4e4`|bzb-C2PrCxA4rzmM$ZwHU@P^YQy7am_u@6J69&tW03bcdG>?QO`? zrMpYq(po-Z7|(dB=j_g1 z7o>}nt{1iqyvvSF?wO8AwH)0(AFtx3k%$SBQdd@$>Exf^V`X89vwsQ>t2Fwe#X3YW z?d+0Awu>3RanEis771$QMY(l0FnrI&{}LNs{1)EIk!|P>nf=0QZ8a2X$i479I3>QZ zSd{C5YxowgTKuQiGFIXWH!$}hNZH$gwiaqU^d}?TeC>GQy#|%Oi0^fORVi8@ne|3N zXFO0XLR6I2nnK`tan|SX^ATwp?^=qhJm%>UDq};7-0km?CL7EwsOTUn#k8eXG7{m0 zv-jqwV9)Z5hEWAW{P$fWhzS9E*-cLGH{vt2{FCKTdok1&mq7}!P!JP-9zS6pUjEM% z*w4x~+q8woaz!CTI$FED-YAgBsJq{qPfxfJyz2-ih7ocVJhHQ0k0h5QJsO10fwcJ5 zarC;Bo_CZQZ|$O>)pD(<#%0Q%!9mFpioouwC(x5WXNv5sb41iG;o)zh61%!6!-q$( zI}t2*zeHuLb9z0ysWP>7+;2Wre@CyK#|^LpflatC#=G%(zbsLzsPw_>E@}EB~pUh8qrgHz`=Ns1*JpPkczq&o$X;DMo4`)_a zF~id{a#%1?YGLFfJ?geC__r{9H)_Y3E`V9YnabIkKDM8YlDkr>*lmgwn9Wta+OgR6 zw$&!%SsJA9R^l0AL6A82Iy{kf4dRq1z5L(mlDJ)n=z2zFvRjCwwJ$N(Oxo8iLeOZg zu_Id!I%FjYdlpepvy%4Y!%Qq3U9dw5!ZHB7@FSg2vCzUQv$vdDzM@aft&2$7(@&q9 z4?J5po^5K3kH;8K(Ns3|nnYb@m`e;nC|_+&6mfUvo{-d_bkm>_P<=wy9gG2DtXlsD@FyuG}x{$97TE5+Bm}mWClUvCRR><#$%B+ZFNtK8X8E5^h3$?wU0V zFuSZc-?rq42w|)F5q8uvnKkucbQ00jilKR%i1Cy+vGIa{*okX;(OqwdC?}Hp!3`Do z0}ql{aJ~FU5ss)W5OynE>S`8IwRU~4Uwapw!dMQz`{-CQb-Qcg6s2pu+!nXcW+@_FGWH3qCjQm2GTGW$M=5ny!IVQ&OP?Q7n?Pa+O+XC)t zKBlxiCJ)e%p;BvM__;KwEXf4a=9m+uLm zDIbll#gQa~SsyYkOVP&mb<|*L_*xMDoKy4|*dJ(MmH8zg^s+YnHYc4m>b5_OEg2agY&0~5R@Dmz4#-7FbLo!OV;PgGk)X$ zp3&tvFYx~a3`;@auyaN8ZF5rU4K`FQfdz7;CJ|fw&D#9xa*rSR|mGVt)wa5L}D8Fb--5KEB*jV`A)k0lf zg0IDSl_)w~A;bVR1X+2#f|eO4hT<5(-8z~icpwW4x7nzNtlszIl_XO-TvRg>=npd~ zXG&zrIxU6}H&O9`piC)PerN3IeryD7(Zku<_!a%bb-y5VauVI?1Ets*_x^qrgp#6T z>HN}k{2rJ4mwmsqdFND#Es0<`$VI001v2{avncIa!bDW&zRuv+lw%;O>St%`yHXt& zE_Lu*4!L`3ckf|vbi21T5;)K%sVwSTsiaMA49C+SDRU_`|HNHa3%&Jod0Gk7zlWUt zF0ZSd7bl%G%SrUE(fmiUQM?q|Pv;L*zHk^TdZ}x0-qM*J+bp6OQ3SrAtnfFv1e4Ul zd-<3&Qqu}VC^j6!E$&Roq4c<)zFDCmHNkU=Dmx=K>0;=2Dx_K<`o4~|(-Lg{EKwnr z!~HwVc;bNU*I16M3I9!jV;%J^w6SFNLT5Mpf)QSX)xXx=^ie{gO~uT+hOpkLD=Q(# zw{28C96SuwX@;DKbxL#O8`Q}#^R_jGosI9J`J8eBMy4unHGI%9OS^kWxr5}YL{d)2}B7_}~I`-i0<-K9}>bTa3DH37Nn>Kl?3u>6oJ?$cAaV*UwCOo6v zX7Quu_+CfhuEg<54Yf9@+}h)OUg4x2Z|KV6L4G9I`={v)oY~P#2a<~bFsAi;7mTM5 z-+Me%EyMk}-sHgS4w$d?%SV>mlHhI1L5EDb!9E&7ugMFxyLV_T3{<}~RIF`@`@Rsi z66n=LI&&qHTU}8|Lk~b|LcH;Ck}E3Ge%N}EXs!mFbqubQ*RX!n#7>~-Q)s={zNj%} zM^ioczFHUiuLEj&#%{JjfLW+iJ@O7({J-3tSmNc7cyindeJV>3pSWWSO~_jNNL0O+ zx$7Im+v9^IPaYY5lF`d9Cftagm41q_dtE|j>&MEJ^lJ-T;Ai8v@3lNz&nD$=7YtU*(3*g-VKgkYt2A>&G#FsCJK zq_EeCb!1DKe{j|(P#J6}HF>bXrvpr}JpE5XPZaR*?OdHIA;-k?d=^)>hE+Z!sJV@< zN2JSutG~JzxBP;Ft~_M03*{vws}By1sd5E5l%`mZA9;8v!nYd;AB(n^o!^+ocJB?5 z2C|&+0P@7svU@Z>c;Z_(q|n!QgZuq|c{!ubkdeCo-Cc1o87o=q>f==xlyNZrQ0=^W zul;)H-MDi)KXHgcN`nI(&@OYi*w2LU;-@M4j**qg?Cflg_N`R@^aS+hSpVBk3336~{<-6p6Grd{zqgK9Vw zouxeHh_W@C>ahqZ#Xy0RCUgQw-#C9@=2meNku7vJ#qjNlAuIR$Ww)i*XV)gaVTa7A zV()xqwTX73eDFOC4rHlI{Ts2rDYcDMLlj}}L;csC_lDX^=svnPZX*a^Iki|GwDGYn z@88D}dv)K8wfTFSLl-cF;w~mD&hsq2TjfCZm>9kB|LE<-Z_i)~9h>sL2Y+^t

    r zs(xPhvB0~A{`I=Ns000y%bHPS(AQG`1|E7m3h-OAm5f;OCTiN24kC^aJ$UynoH(sw z4xW2-5u_ikvy&Kp%-9Qm*H3bm=}&WXMA8@%;Y3gS`}^l)#3mt>m!8w&N*^61adeQQ zBmU4=1w{Pc%+PI=z2VQ|S--WLYP z;wjIB5SmG4`w+1PejYS6#u8UgR;_{wnd83QdVeHQAdG%;@o;c4xMp$W;0R?+G$Nu( zOF)coV52*>niqtiPw5@JvG8Ae8a^1_D>fxe(2&Dp)iC&v+T zBqhA>_)ar;AcsPQoNSI1IJWpuG4!5$(sLg&tCl|o0v&?~uVSOj)Qd+XR9%a(N&iy5x1-fsVHEfha@mVuxM#)XJNpy zQJAL&Wg#PHFf~2vr6xo|=h=jMy=!(Tl!F$j=Z5@ZG3{+ZjLA?yI-BI zqcAS82a3}IBb}D2?AX&J0vcRIQ_9n!mvPt~#-oTKS$nCA8BPA;)hY=2CdjeXlfi)$ zTcr$Xh9f9n@z&Lnlck5V>pOe>M+jb4X%1g19>S-MJ-eI50~hYE_4Dr;SD?Q#IX(65 zcT`t0>r^Ob)XLAZ6ZGScqaXwf*lOdkNOUS975eDbp}Cgxq)Xg=cexgT zH}w1fA41%!CX-^vYJsT^w3>$_mb0@{g#YT4?_-K;*33I5|__0~E4r zhQr9rSpKGu|31&eN<7@I{S^K0P2zc$ODFC__3nq_OdVV!G2PeUMR~?Tx@tnNB%j>7`4vic3&$C)VxtHFqq2epJv8RehWLFu8^_>yCz% z*^0K?q2XV9wMowalvMU|i#s1r}shA2C=J<_Q76>)9RsDen}@gT6f`#2@DnP)-fR*r;!Ctl`{m~59T>mY9?i`6KtNj zA;GZ4uev7vTOxUG{kW)B-hBp`e!Kcxqf;@9b_$28J?D`~(8;?rJ{@u_EvseGul~v> zOY!w~1u&6bTzN@oLX#v~)bVZD2<0{6ttxw|F3d@{1_Jq#I%ef&eKpKn6JL~q^_34Q zotER{9}at8oiDStZaa3XX1_CT(HV+5_}^T8C%@OkcL%BkUC*3`bfa8+`@-=iQe{94 z>=#|kP)3T43E~V(@a42o_fD%sRIskLRIjlsb$fV{W{Ct8DKr zM1NgCuw-T|f+TwUId}*u4I_c*O+d;2$xB{uH7aK5sD!9$VG>77nirwdQNRu?(~5Gs zTmc%cd^$|%^57*na89S>=!3V4nOtD3R1KJD?n?8O3NnP# zyBI27q<4xacj(Ne?3iBBxcWF)pYAv*>?2 z_nKEhHzd~f_tD@If>|gf<_nnk0{g_*aj0!Rb*U zPFj|WyahRSN^;Fjhg%@Gx!-CFqxfd5vl*N{w}+9V{0~|@F#Tr@Q3epBaxFSF%OUAZ zYG?&))%k!IK1cemIi`CtarT4v@|!hvzLb%=`2&+`3gBq3Tf+9TAMz=n@%PO-Pn^8jug3aqt`m5oy6hFAAj+=QbO27J3 z{{wN31~}zt66L*3{lg5-Ujv-w`$&QwB*M!)lV@GB?hBJ@-4LPbn-V| zxv`)7?MB_8-z!0So0R11+)IWMg4S9m8bv#Rr31s3`|=gHm)~Eg(r+4;deVvif)40( z)l12u%M0U43t{K@rJ(jVF!a{+`^q8pvB;jD|C4O*zE4^)Y(Fp$muvT)RP)p`_E zIUjD>L{hZ;SfVj{|0m-i2{(M}z{T=ap838HzVt#m8)LGCW#Qe`5u5z`dhzm_Z2JM7 z=JOZ5!&D^v5eaQYBWzp2m#8j#V8$a4{hcd*EI`=};F-+@XI5|N&WJeMrzLqJvB!+E zOmbi5qq3JjZ~8{izO-ntqbS^Z#J#Z+pX2>sp*>o&?zDmrb+G8Sfv6yvU(JTypAX(Z z45ZAV>Zc0oK)a_$uVGIkSWZB?bcXls&OzGC2IUd*v%M{qW}QQK8g(l4M}a=N48e`u zU!a?t5wE%Q%?CVF519$F>&w^bv;uEY2mwDGCf)&zju}+wm=SsR{fU2eBG%#*>n8ue z8;JJzIS+v7P~}{^Hfkv%@PyslWGTSAxDq}~%vnkLe`yA^lyF?g`KHguGyC$GaV> znS$=OLm~g!&HeVaS@YsjvnxglMj%eTlkIcTZ&iIpl&+NN47VltH7@ zCQm<{XSyf zulh!z+lyl=3Rj@#wP=7N!NSjMxf*l5?MK)OVb^tHobHnmqN0OB4mV8uDi2$bnp?B} z7ie>D+Ta{&3MLhz>B|y!8dT#-BZasD3ndjXk8n1$C9-a4&nrTT%9*#a{4YK#Zw6-7 zw8`n=&Ig331)Wv&`zKAewcl27QUC*<8k&mkKKvB9GN3^g3jvg)c?m$L^+DVzBT&FC zFDIAI@8RO^j?#xl%=aGuMUUqNU8lN7&jGFMN9RHe>lup9Eo(JSZua+wQA)G=h!0y# zf{5@eJj~$op=-_rcv}|nIY`Lcf}sx>Jp0|rE>Pc<;r_%?lzW~=so&(r1g zeQ41I1cHM+ppJP9b244pNviouvyI`c8NtO;=j_p>w zUU7;FHvaa@1Zh=7W&2>SZc_kP4|80Qd=|ddEbHuHPttxSu~x;jp;yH+yWFAxSm3g= zS2EJjPFr;+9;c|YM0%HhNIUvKgKQf6_q_^_FZ<9MJ7Ipcf2B`K#X~|bw=*@~*PAPNKLh_Fo@{NrRsw=z(M6j6T;URR< zuzuc8-t3z{l;S%leeQx5Kb84*QOt#W{qVS8#d%z4m?^(I<>zFt=c?`M=0;$s#gy=I z#c>pjL#{y^ym`?X%w z?R;^^l@OFr9x84;AX7C3&d1q&Zbs=paJ~8ETD9t?HvfyGvkZ%>?V>P9BQbQxfYS03 zLpMV=NOuWHNrQ-Vmmn?O-BLq$cb9a7bk}$M{?CuOu5-@w?7i1o_hxFv%0W~~ctcea zNajSW6`|SJ;Tl9(*s%(z3QEs-ud~7~M#Talvhm6vl=f z5_NWmU`rPo{X3_hJ^#hCNVczdtsKiO7^uSvw7WYPpKSBAmd1b|)4*2SAIa0`}s4_D% zUk}Uv-=27q0auj~p13Gw%u=~{bkP3k@9S|s;0NP-&g60Ujei$~4j;j@Z-^XKcftPUDOc=2RUE=h8Q+L`FucU5YUq%p1(09}tCW$!6XN z6^vA_)b0UuN~%{Qa%_@$6NvK)3mdW!R#DDDLf8U5X*fcy$4J};>)yTacyICirt|W? zIVNFWH1PPLi(EFo)IeQ#Im1mAe@|5U`YA`k#>AZ6OH_t@ot80+(Xy*CZ!Q&IlmF=MNLXt-Pgo`f^#%wJ9!Yf5r77-=Z0X1sXD>1n`sha}l zcK0#7Z-R9)%~YJtR9g>q@kvySNa1sOj&^>XgF(d9rLbt|!+eYBL}j2hJj^*R2AV@M zD^n>${je98|8(qb+4w8dmICRVhu&0=T{jHDMb1rQhA3T35}s=<+*d_t!|T&`M1EWRc9 zyvb!}GBSt8*5-(oc9bT1xVj<{%z^c_w+t|7zM=)S=vww(J?S&6@T@Sctxakg|GW%t z{Pi;s+5fufC2zGig>PviS9`6*#ECS4-*HrZMtdz^p_eB(z3erb16gx4O$F`o$p5$G zXOAGZQ^I%H#unefRxF*6zit8^R68`a9e=A=?fDci=sg`B;m6emMsq)V2f{%ADXw04q{^yvStRw|y?(^Xw3T!Rof_TkRf-#GATjSduC$vFA+PJfQ zq}L8wJ`CE#b@H9h(jAyj(oMX9S9b*dKBUihL3m5ZO*$B9a6aN=ht|c(-H5SPc6B_V zY}OHPk@UEGWQ#s{;KIFq7feFX9NLk?omf<@tB5614Q?p(B7^8E&!@Pq)!3U?s3)F^ zwja@i+*@yvoJ0vm_72A9PRyB4NZ%tWZcU{+=%6b=!?ud4V80~L>^>8a&#UF=(^2%! z62Sh`m}W%a8_H~as1XRf+%XS^ni&1M?w;U=N$*-3OY) zRM8@C49W5&IX0RWY0D|}Xl@bES*=Ts8*`g->L{|OFSX$SpQYEV>nfl^06`Da$lKF3 z%Rv1SMAffFZ+YXe0Ttz6sW1!3nJs2&jFmt8(lo!FQ>%SV^Af$}{gRaoyv0Y?4;L34 z5#$tOb{+_mL{(g3#5jU>c3;h>CK4U_!VJpprZ&t!Wn?4%8SC{RdL#G=Eg3s=&_J8- z@%%$PvZlhD-^}EJHQ;rb&G`WY!$-c*Y;Hfg1$tc~YByf%3!vTt6^j~%`cR2@k4!!- zj(aCM_YwQqsR$y5L-p)lN@u5=9KU}3Y{ua#!CraLy!OnRNzee!{B^~O`u>4lJM39G zC=$)hWkE||n(0ovmKi?tLHa_6({X(oND!H%l zdCs~{+`%TWGz6*#dVD!?lebCKmss6KH0F>O?C+)o9+9O4{eTX1A2gkn!IT-nz6lxK zG?bk{))6rN9rs4f)mM-NYk-MfoNx%X2y(zPXJ+}h-M?jY8G@eQ$C}F)5e17lY)97n zl4`B+R3~fJwE+6fw;ya?XRb9UW_@xpIVBCw9ki;M;EjBj3q2Js^C^+8mwK&O8hXno zta!PX*9&{=6z4mZ$&i6j!9$)gCl_5XpDD%1K!!DHwHv}@jC%v2Xr%EKQrOAXy~MLb zIZv7()pg9Qa?+r}cyrCqHn2O`fUsyYee?JX)NxKtK>O3g3+LeCQYtaFJz5r+s5WNT zy!s~MsIMzxaNWn&;*2%RVSCx=`rmxt1ptqoG0TM)I#Pr6f206N3(#47U!_H&GjNdt zC9_I~B|)^5)QHM^uAUnSZq&gaQ?>dz=1vC8rG@)cOsJGaSV1bw9iE#{QWVCvc)jL2 z>~c)E7iyPT7xjXWR+Y271y(EyA?IrTtSM+j0aq7LX;%DK)kToygKvQ2+~{+jV5&oy zJsurV6q^Ihccok70Bf?m)X5d+RB1S}J%BY5uc-Tfvg^s1oJ;jSajDD=Sxs^^Rgmq- zUgb|uRiR2IKIt1!hq4&Z^P17?{wz9(&QY`E?-k+Fa|_kW&?mD0#m>y#BQ&#`z^oY( zfZHP(GOm8VHxea@pQ7koiaL_eKzr(_Y}h_KXYtXJ`ZA zf|zbHPuzz0I}GN5lRgBLIQ-td@W3UU!B9CV%Z(G;esits4fF@4Fr?`#6=g}J$H-tOwWtNxh6|S zG(%D$mkGSQ(9Yo`V>A0=TPP=hG>KFgqE)=WW+ ztAkx+z4)Hq6|Rt|Pdb00NM)MrWcG?1N}RuscKmV zFyCF?lM5usk@G?ZHVzM&;;9ELxHHEArO%DC3ck@K>o1_yBb>gm`RAB+2T~y({dpW_ z#-^cXqsMo5#F`8fE|v2~TU%S#o};NQ2|$i-W)mcqvT|%g(^aU78Kob_X@z4B{p`tN zA5qPFQ6eae@jjII$LBnGJX+=!^g}6fyk3Nbq2fsXES{X6HJ1SdYtMRdoIH&N+Vl6! zqN_-Ll94!c7uA7~x=mNO5ghT32{^w=--Y1%>)!z-v6~F4Y_`y5AEeG-<3$Y5ge9HQ z&xQv;s?jU>HEg=nYRzeYJcCngnfedo2Dy|$??4s}VL4j+21fB}d=>lPt<^ZEj!^N1 z%5DCpNpFv4-OWJ0lflQ zcWVU)B8z%$7GvG8a)NAcC~Bh_FOdipXZHs)R1EYe=7trZC<*~()$gcm)|hZUc4B+S zIKTA%=N+piE;r(%4wn+s{C_VCk4zN&T|$O{m@Iq2l@jJ_LS9U=%9|d@9;irI$bD0#>tmtn-?1nUTBHlXa||`L&J? zi;A6F=6i`q0iHvZwGaask*vHssIXhb9kov?Hjy)y1h~E}6s^*jW+hi}LaBqKAsA{|kPM9sXnJfQ~ z&JFD%hQ82I**BxHvp>amx~bzd|RHA80`8#la2oYFxEHU2SgAEe9ZH$3Y{nJa@1-MldfTY`vKNkILmZs0F*GlH!LL(&YSKYj7 zt1vBpnQ825o~O8%iMzP(115@$z#Y@g6hNKI8P~KyGC5a%cu&g6^c$Vvac?)w#uem> zx2VLbVE0WZ-I}_>#;-PFog=JMjltH9MYYzSf#y(+;bso55w>s3d!&LVe(x!6an7%@ zKDK)l0(qQd^fM?8KIVV#vfGp0jOvD4a$$;g83a*spbXRsMCOR7_{^QUlkG^$%`Amm zO3!9NTjpN0F=Mish;-{xq1Kjy0QrYTGS6pA;6jf zv=n6~a$&&=bN}>=FQIfHoBr*L;`rOmaeXcAZz*biJRR4LORZ7)Tdm!Xxf_-WhuGF> ztYE!Wy<$U@Eg~&_3Hx|;Ip6dzR0BgmQ9xt zTI!o@-S>!E#x#QJ8sn~AM9hT3_)&YNXm9}@8S$PswUP`FA`7S@ty$r0 zyGfbz7(e~2q0vDAwlMMcf4RISp6Zo`^`-nTY|w=$O+VX$na|yAY6JPu?u`ZehDhBA zBk<$=xww5X`rqQ&i9gfa(Q^}>j5mC5xl#x!X8CjVUt~8a_}-;6S9Fv(@}y{$xEbp_ zRV59hT;avbJCKBMKim5^Mb~Utmwc=F3#mtvNxE-dRJ*OJpA1*}(F|WZOTMryn+7i) zs~FRMD6jv@058=Pa)$SJc0ns(A2&Ps1QtCPx!}h~17S6dSAIeZ*-GP#Z_uo_UkyBm z!zA9}Xws+kr5-zuQ#WPG>H*lL@wm3UCaHm_Utsk6#0SE@aJX6HBCjibGN;(8{4Q7k zohiCa5$VJ1Ber^wc%zJihq3hlCof23hO75~+ROU#6?8-2-CY zV8+IVp_U;`#7r<=D-4$7Yh1e+bJ;`YseLFYi_#TleZbXXAtb%QTdMU#o)CdJDI1N+ zRVb#%qObZrWaML8mn+>PJ%Q1(CsTBn=?D4ATJLENx zP+V8(=2$C@N1dQ&Fd#dk~;{pZ-ef~CCEeBp%&Kb=8K zL49uj<{3#zNlYzTjMNSYzVT?05vG~pLvRLsoB>KX*WIAd+v6T_D{8N$2V7S&n1?nf zh4-eK7yX3*qk0yRL^dbl9s3qIxZ^wpXeE729d&HO$)zSCf)^z2K`TTih!MN{%+|7| zL>pC;HlxfGpT5sQz8ppt*89B{bh{H3;bsN5(+&KjvZkM(SOfFLRkLvtYjEzdP*Ovr z4&@j6p_u0NN~*?FrQx;M)p+4m>AIrX<>H1~m=r2)+X~LGAQ;pNDNpCX$pY!DgP;fO zb|bGj*Q|$n?ZLMwQqQPSiF0f{+JswsM#++7H=m)i{CI{4_24;#cd!PyyVaI-af1Mh-fTi4ym zN*W6BS53dWuawcMc8zDqEb}5KC0zt*P?cn0g>$a$H9W<5H2ifq5rs9`aJg_)AsmgB zm7bJz8pNi@MJyOTVumZ0*FGH0XGd9qiy8PrQE=)DsO2zxzto_Mk%tVF8q@Ab8uM#o zFol<>i4Cm=a3lefsI3te4qC4u3gNy`yv}e`WYVP{!VmjEd489e(F54En)D3~4S~r! zBK5;rH}*$4k*5vpbMV}f(NnLH*X!fjJQ=u&(zOwg)UJf5D+v&?9!XD7%6gPLULtN6 z?9MS%h3XHmMV?~l7wsFMqLfQ%f*xnoSX&-0|1^)Ur+SZWD0|N@b zZ6H}=!b#e5N67(Z_OFPa>g`2>j4{0zC*@9|mWpK`ONhtK(-CyJ-llZ}XY+(^WSP!s z;w9o>SLgG3#;w$*_I&$k`VEru3trNet}273f!f-WvYVVyyp_7f#7+I@S=JC25)Pu% z3$>f{sJd0KPTE^L)OqWvTYeFO5Q+y)RU($}U+6<{q=)@2(5`xkjI`m8K3grHOo&{T z!AnFbe*C0|%cR4LSEFKFXG8lPJingYF`Ane%#To1Q~DRhbW@qj7<#sX#^afF3-Z$(v2Ymsu=KZTIv_fKB^pc8C=l z={MRwHjP%Q0-bHMoEkwC&S)HpO6I}4F)z5UwxJf{g(e~NYG{IT>e;>{pL)BMClTaT zLyK!A{l*v=o>FB31vE!mue4gJJg=4o5ud4VPON^+wuUguVIQY)CZ~;BYzaQ{nMd19 ziF8j?&ikpCXVciGf8d&;u*Q;^Y@!|YaDNbA456rAx{EPV|hP2hrqQp6I4EBw-vvCXihvhB<;PY*O=HR#bP zvQQL>eEp&$SZ!_XiQC&^0_9J0nJejI6_xDr6j%a~kTvRAzHXT4n$^m9^Y*%TzGa?G zx|`~Aq>tko(;sFtQPiK|)#UVr!|fJq9s(KND@y2NS0)&1^O%lELD^5jp>mzoJ;xm^ z_DA|Hbwa6$V^5E`OobVI=)dQPRsXZdAK z`QKd3{$M@|e%*2B#SyTDq@f(mdNoWK&1yJMFmfw*ITCs29xUW^eezJ%i%(* zsHG!&e8J+_yn4Y;YU;P1jg$}Yqz*UqlJ3R&Va7R#S@hKeLCsDqn#Ld;OMu|PI9;>R zSr(vli#8Thu_A!1bV`Ua?U}I>gfIMu}nGZ^Zd0Ki8-VWn*7C!eNDf#XTMVCcdfkCo%T+bJoMXJH|*q|ec|9Q zIQejTQAez-m)flKBqs`Zf_MTWYBW`>LMg7E9?h$nM%x74bwNm4sKyEgr3d78I}C|> zEUAn$gxD&Bo?S_x)btUQ8>d|56nVXKL#`RN$q|K=`4upk6{3=T>gHV>3NM<_I)Yl%NR4}G zlIgF=WtU>8Q=N^t{pR~Clwd(;YmU2y!Q4H%Ln7f(rfFS7nd@(DbiFf$+)=6CVlUM{ z6Fg@`$4$0`xXIaTU6vtk7>6@+m8+-EaL8g#9J2fPa12uq+Pt`rpXfCjMv8tLS%(3J<{ z`&!!@HJosvG`GUW?<|35WbNlG?w;|D^b?JCUe2FrF|G@ZhL1a|#Fx_h~M>t^y?MqmHL@dMCqj%?0IZM!hB` zVhtpf++)H=t{cxP@<`v#0CcWmcEoY<#OU2*V&9xuHf{eud_sP z=5C~L{Es9g94nMI12v(F*Lc?Xlbjf2980B|#}Kvif^}IVWi&{LJ6&WBtMC@@o+!DT z+uNPA_WB(C2x6pAu2$TKwQAlE^NUH$ymRJm3-y6T5fqeWi1ND*Y}2KU>V=M&LIy$8 z6DsdQ*%d%uBER%1Kt7nEiwfnq*@e4!fz8x^oQ!pGtYe6|j_-Lbl*dC<9C2W7zvBfl zKFP<4?2IqEW{Y3urf)sOjYjT7$1?nBSPEzG`^jLMHA!o0pv~+hKFhqxTr_P5qV=YD zdt!p?MEf>-_9MLDX5doHa4%V?F#~hhdr{D>0xOA=&dTq?>Eb`3Z~6kD2x4jsOKj%6 z=}PX+CvFj#H&W`AtTSczz_t+7G{rimNY%v(0G0C6sff|WZldB^@4ym6FS2-gtDGUY zk@C}7>MX}|5P-<+FBclAB4-JkR-53oE}mJP_QuXLIsQVQH4VG5vWU6kpxVxiz>RCL zQPqlA5cX98j%Yy25dBqJ%KStYPEWJ>JZ@173_vsd0TEtM6`wo%>K``I6}Qxrfx)Bl z-SJnzMWg5$1IBQ@`!LQu;2rb&e<&OsD@a0c;eq780Wex!JH55mG>#B`*$Q=Hpu&it zEyhhyc9v2z#Vd#0Pc+WCq-FMEb869zJ+Y_n1crfNHbt{G`+ue0D6shFG38I?NK;@% z$4N41xH#S*U#Fzpi8C##M68MSmQReJ-yheVZf+0w!_0C{O#!CEq4t zP2*p(uRSqoe@|B4kw-X^?jk61ksFef=Z&eQdtj|B#4uN++Hyd#6zL5n>8QD|Y5!Q2 zH-4FzP-+%`OZps>U+R*k;Q#Wghb@dYp$AMKPLhr0Fkd6Skzc0=u|yi;R&Od=iUS99 zC!g{%_X(R|LeKGxaRySH95sxRCE87(KLd|8{`7v38J28TuO6(KSqH%wuRqF3ZY{~C zu`3x+X!^R+MYAgua^57^o5o;vvTzbze{NJ=P#PZ}cXq_y@&aNngm0}DD22U3NyR%% zEGE1!?crPd`$j4%D;HfM$0iZUKcNWEaOO|(@s9W}d#_KKX$0-J-`YbcU!E?kwT-Ir15G}bLZ8-@MZ)Jm2wa3cEe5N!~p zG~KxXbNu|A9b2T--c+1R6KJ&ROzAXZekTY4w{%w>k-!&J_+v3tcz?Ii6kd-yT|d2! zgjPOF)Gbv+ZujkA`JuZ$r1rPH&RY4xSh8otTPJ+q*8pD-a7qWjcVy?g20x_wC6tAB zJ3HENo)cElyv?qN+yBxY)lvNe?_V`ZtEp`?O?hoYZagxCqrlp721JMyvC?Dp^ zJ1@yJZ5r7qlVN9Km%_Qb?A_kp)+QzAZhWwf(M_8`ZPwFLVsO$gxjC^rV4mFhZsMG%~T{0 zc8ZbN)1_sGcya-c_d&Vz-6odyyri>tuqlmIS5d05ia-6X?B{A&T~9Wez@KSy8K2o( zSB*t8h4CPSy2v99?@}L__k^ZZVNln`w&_J7-_fSp)%Z(xLByyZZihig*9*8N&(WCh z>eNg1H*dKeF*+(Q{o-fMC%hGh4o^<}CI$SrG!3r|J~j)%dJzv}xJ9J7O z&)b7|@u621Zr{ISN<@5*Qcanjz<{8#XwHyDkhsWwuG1AuR6fAM1rRG+lxr%#8_@k- zE$Oifq;qMI-F5MPpW7CwQ^qQv{|A{j&PQz)Q&Dl5-4T$GF?MC>Ghg9y9g7VzlJz}@nBqD4GSLDbO17|W1ILbOT_&BoaH}5Z3kRK*t5Js zfAb2@s~MvBQ=~bG?BJRP<%15KX4qDexvP1<&ozD^QkH8|$0+2Qr?b%`PpiwuE*d_W zK;AKgky@9l6Lr@2o9gyi65S@|AB6^jAq}Q!1v_)32t1%NT)6k8(t{1?E=_D2ZNn&D zIcz-mQ=L0jHCehOo1_Z~9k0JfCR1_~y>;-v+v*a2Bwy`WAaAH`5}VI9$E@QKC%8y9 zV#oU%&Vs6jJz#aGp|x4)h_$b~#Szv!U3U5iur+imS+o!FxTl`IGo5}Z(OaYu$4cc@ zuSAfGv%Li_>lj-`aC_k{G#C%-;qn1N3FnslwxZZ^AGdXdl*F{*0 zkoOaBK4LF39L?V+eqrI@1;D5{^C_d3bwGj$*iq&&&f4)E)ueV&)O-a5_i^AY`2Sa3wjB}@uC=m;O3(h#li^N$f_d5g477}C#2 zI*6*0yEw=AFiVve=@Z@wUdGg%elvsybYoy{91QbHHZ_vcS{^ER*wQ=d_h~T%p@3nx z`}?T#)r>!lHIDcSE~~tuZDZ*C?Tw9Wmv?swe9S?n7dUb;F{2hAsnQx6Nmkn2q?lEf zpQWqW*mbs+ASaNL8GL|~CFhIUo}|sP8T#XM<)`mjA+MXf9GYGFMkStOV|9~FZGXtj zW{rKx!lZ21o;FLw&qiUr#SPc0sR@z*=7@<*CM;&A*tS!%&|)8w1V5WjmQjmokm=ZG z{&YKT8|G-pdPmde9^&dDtL_x%mjh)VQnL}hlUtr%@Lv)ujsqB0P2S8cV}9Ea-SL3_ z)&2au*0COBWfkdj@77;H)&1{f^S_Cy>FMd(T268rwmgL#Lx5oi90Bfqa0_Q_S!v6` z0@uvW-*&RU-CpU~Is{ndl&3*JQ_!#JYT}4fODQY~0<=x;C}B-l-xRq?I$DqT7l!(Y z|6^r!pk{v%F6{(iVsUisBD#2aMg9UfzrbDLCn#1Pt^s%ZRpD?FX&NVVY+hiYL*C|ps?kwsc`wBtRJ!oz3gn30J81{U@~iwLk|6%HaMGS}zI8LlQ%(iiE#Tp&D|J7YCfnYRy^RQ&M zi~J(xbt!pNXoI@(BM0S^Ts3K>rBh>jg}H$c-A4x!07rVVx7>d;LHs%5chc0v{(FMg zYZcRlI1-0d%8>e9eF>fTZziZaP177yK{NJS`J(VoEq%T8*jaiZ+=5}874;PvPS;@_ z50=%}{p|)#I0~Gq0V(>MydhmguJ0kWH^j4Hxhzp=tUEhw_bzQKScG4;AYxw%c5Z*R~XKB(;G1%RPcbwYSj10;jy+zW;c&X4cQ=l?nZMkH)NsP<>4|q?hlg-2% zAY}KB;&ALWz{?8cJJI0@j4#apoe;T@uP;yc``A8rAwIkhl(>#DOXshTKt%h#?CJUR zuP|+aWy9U1*( zTZt7(mN%y8@>3nj9BIlHOJFPGM~hh3?A`F!8N&LwZwMZ`Rl#0pw>1?<`vLOgcoOCn zf|NVfo)!YFA1VK+X5k7L(1x((&@J0H{N6=JIkQSvPOtedBRW|on%u>~RmH=x|8jOv zSeB`DPL7FT1LV-g82RyKE%@Tmvr4<@MwU=73x;wGH!)*GFxzz1WU7UAU1j49QmD*T z*(>IA?wT(*#yPHrL;`|BrPNdSk7|L>uX{8vJSltjauek5@ps>8t;Ei0M%DQ5)A&0q z*=xIgNF8|h+IQ)h#_*o?iu*^BryGR9&3MIZciVUOk^rkZ6!=-<;Li6U|2Z+ z&*y%6@)qbhu&?I0;5_4_-{dmPEzqGNpe%f76Xxo8^LfFeV1&;H7|i%Q_4^2-yEs*g zo74-wV`XIxwRKXR?zSW1IHqPJg17b?TRj=Q>i{7$(r$&HE01}!Ir~79z`@-U6{X@{l zmY?C{QgYuT4bE9ZzqkL_iUVE8{J_(>Hnbj`HpL3CpqFkRK{V-YRkAcN-N^IYAHp%JGB=~Zn(VfV(BLy5s%NpC!W=3*ug&z{sw-GSECuvstx)`v-fnr zm${eb1C*b$Z~twiG79(uhmhq~%DY~j?SiWotOoMVU#8i9{@!%Oz9*Qj1el_K%TKP041i(IjQhOn6z%y9%z_N zYBQXLg@krC!j-;EPWjsl z)694Fq@;*|LZepZF_fUpc9Yk}qznIFxDe2F({MxS{ABQ5cIDs8L1Y44%}qEx$Vl;M z{W5~CWINLP0ekpbl0ZOZMTLVhr+xzzbw)-7)>k2=F`22l`JB7a+VfkAV%_%pV=FgS zea&8aNJYVXg{DIXd81ldxlfU3IoT)4M7qWj@41I{z%0c@VwWqQyTA5a!qB;$p^GO< z$mCU4=h`gC;0YHue5`-;d#vJv>$HNDK0sBBtYA#)z;bZ(`j~ViRpPCZu16?_>{GXq zv8zc!@we_pc1FL9&**Sz61z$JN=<|!UEL+m+IL?5EC<$X%AR3@z(;s2OCK-~c1~YO z=(wkgkWYYnpqHQdYSk@(=&EW=MB^~ezNtUTGX}?w!Nn%l)dP_1LC6>0bY?tG4j<*% z+GU;m%uLv9g)?`^Y|=VxhTWQG^0(&{9W_~NN$&AhEG7i`RiQa zu9dz1z5Uy}Es+l6ya9S#`CdJu)i)ckLH0hwspw4{n>TOnrh#;GfPE*r7`~Kww)$VW z=9ZQ~xrH=(JcoI#=cw_$~u4dx4#+;y&)%%wet5QKSFdknSjNvAQt&hJX>EmlPP7Z$|XPy zq{9)!uEsM>&lNs-b`cpD>o-!IFi_x(r777$uC<<=AYi z@W7CYpdIOcJ}^0_gA`GR!v3S+`Gf^F721CG&;!y-b%IYqCU?PU^vt4WUD})X){fjW z?*hZ8jWyy>Tkh%P;L_9&;HsfhMgI*b4U{!DIOpSCIZGC1ml>pz2YZVtq)5ni@kw#Y z(@mI+cHy|bFZnsxm%|-Xl{hJ`fhKChiWN9$&RRB^cY4eCNnxboNX`F~PlLA0cOTjs zU{Yzp7udLVBA$ojGxol~8Q3AwnYdto%P~UQER>IERCDhooT_NnTPt{0pk>uY>j&kJc;5C=*C5+oS84$E0 zf9&Bx*>L;GFe!633tU+S!d^f$GscH`LyO*Sr@g~Go^dzL2S{NhFK+e!cs;Cq8N%xL zCGwCfA_x8Oq44>rOydFA_d;al-A-4FY1&$Dg{C9xd$LrAJ{ht@bh;Wz28|i>PNA`}muGFje&}Ag z1XbQL2~+TqDNU+a$F#P%$(f*8LoVKgYE>ROc*LR>(xTs&tuSzLz6bEgjaoeXO2i32 zNy-G9$J_E1bM_wuw9@J((F-` zWVWIuC>BY|GdvOWM4T)79c&a%O2OCpYJ;;VGn10gnq?mL@)@=1$`5NXgOFc{_#p zKFq_>@qB+W_qh#wARm#X#_3jR?H0V?*&5F7wmNehoV0N2{?EDo&?ZftJBaw*Cb2yA zzX`KrJ5MP`m5yRlM6hsk?v6Pimi4)4VZzNZ-O8=5i%%kSg+rD9>g@v;Qv1`+e+QLP z9JL|XRM8x801@ewZ7M|i2j%lY=F5T4(~nox2+=o^uhHZW^LR%@?RUK=*Y1|V&<}uv zwJBi~P-9$xjQ4_XEE@L&Fwq{WAH{G~IwPP+f5e@JX1536n=t5ZA!PHdW}_mlEC%;r zBFTs;QYNs$i88|YLQat}*bj+L1xkMhMrcaS7Q*A= z;zljHy{w{pWrqpHV#NhVy|dIdFD`Iz8-eT{oALF;C9uVcG;;9+hNz;w9|LEWpf3WU z%Oz4_d_?_dxcV_@!Ue&A{%zO0m>DIgtWB?Fk~1M($-dFDVXhBeR3ci&81xbJLCaO_ zdM-YstgO_$HPp7T)Jkj#qS;q2P)eQ4EFQP27V@AK)VtJ*Z(Ay_7IWA2W&m03Ro|2V zG~hJZ#)`zudv;3-rctb1bUPg*UB{;L*X8F?2q55Sw+mM>L{HBuN{ zWLM#-(p1bX{;USS<|bx(f~q74Camh2n&xXMkC2+rVe+|7=-9$|QZka$B!e(Lo zXqPv@q4y-JG3kvz)Intr1is`bc9&I1AW#I0`#yf;XdZ0$AYD0rg}7mYJMx+G@y&dV z#8Si;S;#3qIAcZhKHc5jE!OTaUYD7pW*==jeU%uX^jD;tR%=MUl$T=2$A=DlMrG>~ z_09Pfk&562@Emi&ctGE^wy%T%_h0L#Qa>-QOh-4aD5B%^mqF0m>o{d$S;l|l9i<#k z&8u-+f+MT2zxT?oSIS35iZOAxlkFMGcbAo~50!qJI7Re*s3928iQocf)C*Yj%ZMohAMc7@sIRJdr>LOiE&cMjbSUvbwSQt>Q`@ zqe8(0Tt-W3fBwgpKT{u-E1R~h_IUtGxLQI|8g{TVGB^2WRS^L%1vNBXr@fN?XTY^Y ziY~NXy|6Wv5_TY2E#mUZ;qxg(eMG`S;qcxG@gqn0LNQStnNn~|j3asn{~!y3KP^DG z5lBZie4~;)l(hTRfJp1;IxlsCBcwLEb>{Z_ydrn%$<7WzrB2|jdSvxcjt=0&V0{+*Qx@hv7 zByjsNP)y?K-Z~2S8e`!g@a?5JUK)+v_lvx+Pqb$!JP|R8kM<;Z$Rin7<$VE=Ph058 z)QS5jVz#635wTfEuzN48Cpp@Xv`e6sljja6`_819sw+zuV0oBi!Y3_~4 zep36>CniEgx;;oH0IKB5Fa`-wQ5MN!)Qn;X6&s8D^nOF#YOd&hHsT!tYBM5n-}SYj z0v|6gFIQJdg^7f!IZc*$7pq{)ystwj04K*N;TnX5fH(KZK1k9l$48K^AWm49vMrDP)@RIh8Y^o{ z)b`?hNHZF9i2jDkQ(9S8R<=5ETioF?%#+B?bNfpy_516e=QPd|UF0d`wZqb5qHFF+oUaN{LI5;pxcWKO{CK%SyFzZNGVb}d)SRFf>_{A z58|ft;!RNi1jhS&K4qi~a;En|E@?c{7u$dj9KhrNYP7>139c6~DJY!{|3lhjtf@}$ zf(+n2($e<%3cEh6S7p9F?ExFpq(j_TrUK4=_k{?Kw5Ob!@)(%q5pfgc0}yZCo#bZq zv(*B7xGD~|w*x7Nd&c1dlknwmp7WeA#s9^AD&}oyEL^@YIo5$M5O<|ivVh|+b@7MK zlbQayBxBOpW#;p-rNvF_>G%Iaf9vg~rbdz5%$Ft`hvMh$XX>XZsYm}pi*u0QrJFX~ z8~LE-LpNrotrLqWzX$oas{=09^As#}_KQ@xW2mn+ac~DP(R?MlHDFzIf)_0RVXkK@ z(l*DABNcZ>@-q64{Rt~Bm&o6m`i^A*qz8@+(vquU5@Y{k=`5qF>cTBdcO1G?y1N8v zly0QEr5mKX1?leYlI~9F5+tNMB^0^qyZ7=R7~`D1SIl?LXF6Nkjc7(89<4d)!GDH| zf$7oH{@VOo{J!Kc%ov%<1los0#7W`s4_O%vkceVC9sHNqu3 z+&kr;urbVT22(mkPX#y*GSEq25>TA&k|z-^P|0zq&dSB!7 zW`9QXw3<fLM`u;;PJa8U^w9r~WZNiSt4T{$$+Cduh#T*A?QWY{foYE_dSZuKWM zEHNMc{Jv0g)3bWl@pg&*REb>LzxHbjU8qsT*jkMo+50nYj_cN){h=e15$h36dhN1g z+awV_&N9{g6o-3rtYbaWp?C`3*x|M@^O=OY?a0MX)AuBw)2l+<`E&@}^M-crclfe3 z?%S@ad}cZo=4bsGBeg;^7}89+5_w!(lOM}YARK3;G1;z2GA)7T>CwbH2fVO|DF#@~ zGZJDX3+D5{5Ckw!4*Y(-lTR`hajjs33*KFo?eVnBb)2*^i2MV(> zQ0sO2SGO#QvpYKXi&?s zKk~3+|gEF|9v{)G~5# zYY#3QaAEpEX}irl0ZK8j+w>>Cz7M#2&({@%9a=BFZeYGwoxMR^6!m}|7+5p+T7Pi) zhrA$Yj5|Nv4r_x6a8*??lrMHFQd=UR5u>uq8vZB@Q>DkMF!29_Ih|#tN{MW4fcx!# zy*q65dT(@?t*orPX|KgVAfvynHkuuf?>8eI)b!(= zuy|FgInwA?J`!>@@MTNrHsg6nANsEGD?A+$7AzHf=0`z~ z{5gmw=~bbFLbaFuoLh33UE?)+k0!I|J~pi;cl(4!kQBE27BtMOb*Q4V;=68p%_M=O zU=ZpF@N%ofjGK3CJ>X09M16&0<2ifqn_&zEl|-@?h*pFHai;@5-CW$ESA3|Jd^t)} zXJ=;uBOH0k({@cncE>=srgx*K2%O_Szz^2Azq$D;t`STa(AnMQPe@w>mC~z)rnDih z6tMREqeGQAVl+JKGelH_dHII|estt|bjk-d{^C3AmT7ZkE5=nPEch`gDSH>Xj7Pa; zY|5(acOV$;XQIQCn2-xumx+%lt^Uk{XSUVRDu{nidk#kWhmrX>KpeXKjzYD4V1~08 ze@^1)Wz!I)A%G^?RYdG$Bm-|P7s`CPFndE12zz8AlrtcPdPLFA$&skEI5{bw`MeE7 z+)W*qA_Y&`)!We#{JB+gwKm)bEWkJWX-0(s#-FF3q4JOXkQ}%KcKaPo1HR)Yem60- zcybv=Zfh^Yi4u!I`ZC%@{nck1s^)~>tz>d#M?&4>K zK2{j&zxw#2;+cRYKobY*;J3_?&o9$0TI?Z=dKn$-K{_<-b_5UE0$sdn*R2kp^pU2f znXF97I_IK>p0*FZkfoP6C<^i-{TN7G!gg0mwc?%>Yu1Ih8jq?CtKwTKFv2(asypN= zbYOFhx%5Oath*a*ZMB)X8(7KA!NR?g2B$&mNg@H<3|}WQGKkJ&rHnbGa(DzP5bUjP zDtucVo{dOWKMF}&86vc50tKv=RRl5c8&`mWiORu26Y4hJ-%>8>rc%o-8M!C z8D+ z7f$N`_ZNk$^kpAv}|EDo+cCQbu|=H(So}SBasIxOL-gfRyDu$Va*xJY4Na61w#_MykM$gYd*J zmTwG}zaOuEfjQ#|kZThMncZK1B>)-9>+hrU%o8y4t(kMR2fX$m7jFw#&KYk=$in$W z?_kj8*EsQaJ&lPIm9dQlJJ{p~DKGMDC>ng^yx&r}3sDMT&>dY*$&zN?g`_MS;S`&o zO$ZOIO${w+sh`kSyP_`}glnbNjL*-;amEz))#$LQz7IuOV&u`kcbRF^3}H-}o0cpc zn3&JUBI6SZWHK(*kG*!8SuI~X9HYXB!>-B3*v4+Z402bNq+r4s4X@o`sKW`_@^JCa z_UJLA**GqurXi7AOA=sTQXf!6d-%!f+UnN;vw`V;!w`pGb00xT@gkH>$j*+nkb;f! zsq7Pdvi&j(WsMw)%ZvfPcpr%7qZ?KJkX;I!r3y_pw2d&0wN$yXJi>RGq1vd&;m4uW z-FoPchVAHfb2MY$H^mFzRT+g0fPh&Co1sx1n2EXk48cN&u8!N!rcVOT8rUJn&2^{6PC$FbA%905Or|{Y~}Z8)}$lpX8-OUN`AHBMd9w?qBW0Y z-P4kLf2BOqDoh(d6DkR1$OF!DAgqCz69^?#46vgC3fteCNp{h{SA!ifATZC%fKyI^ zAQDmFXnk{g_y0^5L&5{cw6XboaY3kT0|jXXz-`s0Cgl9 z>DRZ-8BQfvaZzj^G@&zlmov^$B=O}Zm((Iz-8|ZT=jE%SLTn*bdu_E_`nmT__#amm z_K#h*-D-m5*@nVr54q6sOi6Vn^u6E$2knVK9BqLVVjEPZ!lrklX3Ps|{JAp7ZFh;D-t3=+Y_4jo>~0 z+bYMe7oc}|7C-zhY=w-t?jaqe43<8>h?N zy%G6WvTIL;=)M%krnq{ewl_Q{NeC6>PZx7R#$@nBxgItiHU0dw`0_(TTh)$K_}fc! zuC+@~P7h!)N|HsSwU0Gv5Ezkc*X)}Di3_!fv^0YI>lGj-NYoiaQCg4wi`jgA{hRkX zXw>k|rbx|Eo6_)A17}Y3`i{WJH|P*>Wz8&vl0Gq8ibfz=^dDe$zUKWM&s$yP(>?v? zGSjzD6}t8MvUS*_5Gjer=lWsyI(!i7*?DZr8e4IZeCPsR<|?|XdPudWtE;)7IQp^Y z@^i=0{_d2Ng^21~ZgYi^i~ajc{?~WDj|rQTeNP+Jc&Na47<^J7L(7+CU}(4- zY@)5u@Xsqs_`SFcvF_s$58dGi=C4_@gbZzXAzno$=Pf~=%z_m4Y-bp4Q^7gEVIEg_ zp$qz+>PcEUW1ahtzRETi47sjh9T(H4V1|9_vz&3NbYyEi;3Mc(A{;nLuMvy>jt0(C zKKJ{O{gC!qA+_>3&lMZ30Pgiy9LmECIR@5!vk+~07m6ZXMqH{GWO~PaLsxrVW(W$! z7)C`At*OIMQ*Uiq?dpJ3sz&*}Fwo*;Whwn8t*Eg1ST2 z1(to!YiIkUeYjOsoEv?r87dyq6q(#3K+H`0bdKH_)()3MxeyleU2bZhWva$u{i|MT zwHIjwL}Kf*z=L60+4%Fq%!Gj~*b|baE*){1q`Iw1)KtuGb@^jYr-b`I?**S>F5xUbyof#` zzEXxl)g`BfAeu*jNG{ecKfkMOgorZSEx3|CqRj4GvJD0lBCCsjZ~PSC)q9LSnMvw zmeTw}twDkT1ug?7eY7N~R-ybLE?Nog(ej)n;oqxUvmGuDs0mO>MLAQaj85mUs{=e5 z?ZwG6-@iYxl9Wuo&rraND>@t}FD^j&z=%;4WBa^L8l0CNNIpZ&PhBLXP^zg(IfmBh zvTuuRCWwPk_6^R=Pr(gK3m+b*?OA}ZG6xbqB2i@Tyl@HmJI`Oct}7Jw9IZvhJfLif zM?F$WXx?EP1CorE5WVZn%ysyH zSuN5HiLKs;(qvcJTk~KRVN5G`kshr?t)C@x=aCi-aYcG17;K&EGT)Z00nmkcxM*lS>0kjUo6w`Y5*5woot!ITxuFc}nOTjqR z%L=Cd6)ZD-0)kPMP4CuLZ@?=s1P|wJy#*986w#5sOF*Ry{Mx=3t$c}@Dv82iKsly)bOfM~IvJpgt zK_FGRR^vY1|G*A)cq{0JYK@d_>MfkL2KI8`*zac*V-KSK?@V?H_T#(x7|u#dx=0-i zjpk54Mp}J`VMw---~AFuRN~PI9s&`*=Q3^5f~=bLFg6*Zx!*0?N{u1fUnJE_h1Qun zY!vAWG}i|osF2=?;cjpX*!_)grJ;+HEqTUJUH6|TX8F5_;$cLOnqW@2_FJ5H5jf_kuBR$||2|jN7Zt$|t_I zAT7vR%@^!l6m)Z;f5TLcqxJw8vk_2|WLoT!RFpm%s8sXCIGedKFmP7T^MlbWCGTjn z6fCJ$0aKyws=)%k`3st#$$L*rJ1JXM9nviKGUd*mtqaUNP{Quu z+y-um!L8KC00^`Yat@AG{7nHj%Kwo6EiMGdY%!r%<6Qh6tb&D9V(*G7lmfeu=$T2yDSeJEd$7MmHg(L@}~y09*ENkIzM zV7;-!AvVYKIkKG#KzI;$Bw9afS5q@SmZ?$@yzMQ4Wcq9EX>Y{iO1ae}(SLz|HurN0 zTRat~7hd}9659;pizMlY{_o`XZ!X$_`f&bUIp78jnM3XuAp1J@$ZORV<&2<2a+ps7 z!_2}A1)=N>+-}KGgc)nh2wNM>U64&o!oY;o>?E%wGq{W_Eq1=B<r%%nAmG3>*Nx0Qp`(t26)7PnCcJD8{Q1HJ zFw*YJKY$Ll%s*1jpQ8uutpWIqI8FgL1UDs@;%uJbU$%&D_Ei>Ua3n9Lv)l@si=PU+uKmzSg20&H z{+_=<4Cp}R=X&FQKvLn&u=&^+*YJ4H<@%d`1b5x$*8C% z_o?@bzEjoOe|ydQ8dpCt>Q!w{ek<=X?xhGVI`063mxn)o^$>{-drwRJU3)Zd;BBbA zLqUL&e*lhgFwymq+VOsu_g2r!GjgOrq$JM9*JbAQisIiOK%B9RJmy^bj+(Eyisdce z&JeFMNqE1VgE!`%nq(?kuQa1@bTFI?+2u*lr1r1nKz#!C$`a07F-=7 zDg5pdUDSPsl*-gwq);Sna6Y9+6jI{gmWU-ppkGOSbO>+VX))#f-AFxCH(U~(ZPy0h zG*IwWS9OUTF8`FIB=H-~v+|!sb4K5Jq~h$m zIe%jvRehMpI(!WZbBE&$1&(t)viG@M;%-^@5q$c&d>h7-j0vcu-v#w%V69$Uv{m{| zEwNgRxg=~4m6C=h^*>EkdTdUjM{BBCNZ^Na;BxaF52p3U+$G&O4vD3F!#vSPcn+71 z9Nu6^W*~byh<_?iYVVASiQD|#f9yHCUZz@P?!t#M*K+u8?F7U^0Aq~j5ro$MI=#yqoYUg>^T1*gp&UD? zQyQ2!lq602v8>KHB`x*^m~%M4Z3EXY5DhpPC<6X+T46OU$s>C;r$5GlYvkM$dkRT1 z9vH+T^^w{107E=S1J4^eL)9KyG|j8>J}^D9dub}ib;IA!&U@!K(Wa(_AD{9_&!d$8 z8jg%%+`Hs*G&wm5J_>z~BoYi5i{D=quKK?qRJb=b9$grkw zmU_rPK+JR{&7?1xVB{kJHb_y7iTVLuA%dbeA5CgvLwt&iY?POKmyZ(0S4DY8(D5+0 zZ@!q?eqe0VVviIjcwGu^!y7dF$}Wk7MmeJFBGtjl4CH2I#xbPfSud<+RA%hqo5R2F5Z5pfO;f=4=Ce}mM(*UbhIwh>)oZ*7>^p@|H3 za3iyc5>GG5#t{i0|20gqwTt%VPisv7jNYmrw?7BKH+eLrb<|-K6H^gIs{O#>dq;M2t88?rN#{mw{nhv zb-v80jS6h!Jl~VJ2#9Fv;avdr`7T)OwHSL-6jd2;X~W3!vu}Z4F;Z1c4kR1^)`nw$ zfPM_8VAkN)nc0cqw{W|Z1#i=f|10P@(1@*H4cD*DjocQ)ZRa9-EB;;M5qnd%3vui7fyhdcYgLfD8d^nY&#?^FUuG#sxI~)$SztXMNHIbbQM?@ zYsd}~!jolT#{4DF4!5qhf-=4JQmpABcvOEf@AR~2aXjRdBa=w~@#4sKKVl+lANz(D zH>knXr`TkXK*?Z2r+vZnJ^ElrmG@IMwgX8BwqYC7nK~L=lpu3)q*q} zi%vkPN#T1evo$5rwkG6eu+p?rV_^$*Ql~vp-bLBVb96F44L`zRlF8AUjQ#hkJQ=n( z$+@77SGZZjTHLycM&|PWt5HzjoU#~GNqs4(iqNSSV>y8&^Xr!xio8FFJHzCyImMhs za8lS_z~~7F=BGT~<@x<4a(VOLUC1~t2{8&m#=p8i(t`nz0=ABvx`m0deG|HA^U za8xwWQS0uRVuZp~=c-HPhsQD^{3y_7dx@isodWo@G`*k@FK6*BGI_5S;7`r_jzu_X z-m6ab03tDC9bykKpRwJfS;Hy(#F!x!2poyX;0o}cx0o_rF0iPh!NJUF@8L+~^K2d~>l;C%t8{$%3A#@? zE>>(3hJ3_DJ>S1g#soIWPg@+gBM{;seL$VwjU(I*e+;ooD&Fe1q>2&#zgxdHv7^>I#-SRhU1v(Tq zF#1Li8f@jIf5@h?AYmqiXLj_6;&NB=-{PBkACV<~?Ztl+Gvj?%KQ?%@!{KBbyt^yfPWhN$&grfQa8vvq&HVj;1_<9_NcNMXOP}~JEEqV) z@@=#@0CF5Wb||88#MMfVzO*^K6cf$vUCb`Gt|W*$S)TCJO7n$>rmOv#DEThwKMraa zOE2a#e`z9RNhghV+T$lvpt!Z?g)B(F>N*FDj~F&GG{(LYLUx|jSj zw5XAcs)KaDXRgTMsEjcd;r!;VcqPhCD$uM!!t0}aLMW;>wv+-Lj$!W7!;5JHWdclD;-rOP zvPAp#wXUXvjG)yKJ`Y?cazvm<&C2PpY0xk35rMq#RCuR<{sG@9NX6D-=)##>Zj3c2 zwR1bP>RlO&wH}oKii^Gm{@85PgMt^-#hjb;Qp1ekuM6%6Y!4|K#e6b%YZ5Y%_u@x5 z8X;OYglT^5CTST*#S*T7-vdrSF70lqss%?@PV$m$Y*7M#cI*NXkJ4r%geJVbhU;>N z+Bw|$c%*+F4+jOZBff`Vo|u(6ZJ1};=r}Nt9nFOi4G~w;Rc_l85(9oK8f!x^v(ih- zsjONN=exy1&lxBCMvS~0Dmp55URq2?>5mSF;&ZlSN?ts0)a-w_qt{3RmQcRTm>YbP zTeqzW*XCZ_64y3=M6 zv%up(&za%g&S9(}>VmsUC5|f~G|}N$U!>Mvr$~gL6_S*pWx_CQo@EN-fl;|9(3-i) zdZy1(L`qm2f#-C)T=@Z8Ywwxw8;_WuXq%QkCQQztYHXSt(rS=pI|nQgQ!veSr~5;? zqS4Q&Mbi*IABv-;cTgS0?m_T7?e2IwYsFV*EO3-85yu1H{eL&ro^A(c#8}hgf?lrr zmI5fKa(F_E2JP)1$@5Q7?d!GM%ivCIts&0-Dyg z&wRn=g|5s(z1edK49Ea5uu)>1O=$Uz-BVUKqY%k1n(_ULp*xouvjS9vT<>aXN6_D< z)R;Hu>B=wW&9HdMlJgYd;q^Qp%@j49%5f-BjZ6m7cOb?tOZ8Mg=L3R1n6}F#m-SfU zh5zgm#0-p-K(v5;Bxe|f%QD>hPml~Y(dseu^k%_GNB1;d$ty6n z-kh>I9iEXIWOUW3(Mq8Gg!af%dlh_}XrOPP}fv|gYh?kjWXU_zLg_;X#BJ74w{%|n^yK^-5OPF93fIYw>m z8$U^p7_G+4EOfG~zPXB2sLM@Q9eA9dV(v(EbJ67}98E8VMKL`JTbOka%LO;Z{cKf> z*5*wG49OUl8N{US0gP%edoXEs1Ph4cu@YL~J10h=xp(k*kg08N;78&kkyrxqSs9c} z8z15FlPoEYcjbQe_n8@|KZG7aUSyOFMg&A)wp|3CvB&O@j*fsWii28WYuCt0N(z<-Zk~Ep>@mSQM&f#+rIDv};n+SDEKN-6Iwl`tOH4ba`l7SmuT)D}xeExkO^^(P#u+ z$gIt{SwE&qU##dMWS&Z2M=QDCn5Cb4R}Ja>ixAYAu6V~q-?Hm)0pbTAhV*g4h1jfZx)G#Kf^Vui zlqi+p|Eywuh|RmR49va-XW|o)L=w&~Y@X3?i%huH>(CUV-bDoA-$>al(`ccKtGrdk zh(Oqgk;K%MnjyNba4I0Fgc~(|ru}6^T--k}N_Gy?$>5M=PF}qcUC9bl)}YN&59eiW z>V}KK8Hqw00@HR#(ks=}!k|_Dd173SI0MT@6yJ=8XbqBNIVy-@Xm;=ZcvlW0uJhQleQD zMQU8E{Y9w;I~DE}QBbLpVP%WfsDI_@;!?Q5t7BT`F1xF5sGQ<+=luA zk54`9q2OxAV8vuqWi!oz_-`r|!`PJTxS9N@v*b*uLgUQR057`Mo&VN@Uo>Z6#I8U% ziSuWk7_BKAIafp7pJmCCM>|bb%!yVI(s=jOj$_@wZZE_p^lc_CA)0w_baCRbdWCo< z0C#g8xVfR0mlB?xaQbyYwdhcz7v@@-(AQcmX8-#&t30X~L<(OhH0bimR_SmEr8wep zYa_S+-Q0U0J}_w$EpY?Yt)a{PY+r&Qnd^H{fx3aZ{=x1kVQ*4N?L*b%zyYzm#)lq< zwrV3S{Ggui>EA=|e^*@nYgFy0>rslq5a6^1%Z7)+=yGDSW6eg(vD=!g>7MhCd2N0z z0cfkUp-Ks533-w`)=Dy|Z+qdI#}I6;HIwlWogIXNL2*qmlknElnt1~BUq7m1RVhu! zts%*yK}kkMh-9p)q;GCcj)?b7Xi?omaESyG`7l z?d{rc;qU>2+bAppuJdd|hcQzM7o63!ENf6tOV4k2HK-eJI0*ldwq}YU-Dz9KsN+z$ zS=mXS=*NtNqTV0fo|IjNEY}X=jc&+KY^+ zvv38NfN2RKqPCdEca^Sva(m&*SYHOGIc2;=sPc~8h-1*znDFK9yIhh|4TczNU@My< zVWpz5SxsbUt*17k_!a{ZY3FZ)NQocLSsv1KbPggbH4a?4BJbx#eH?vRP&7V+0RL5O{HG zg7rX~<*m-tdxHb5bEYCk;5Je|S|WzJ(DxD$6$Qv#vA<}cdC_DAK%0yB16}5G>fZQU8Qx-mhV{wha>X2u`anL25+0tyTw`<{tKchHWRSbo1yaT+~TD6nJ> z7I`Nt{VR-JjTkvfnP!_Q4AIh`;Ff9Hi5|SJU}}I&dgyr&VfJ189`NsWeI@P*k@GrO za1Hpsk8IGX-GD=l^O9=fzc5MTR^MNmD8=}Hs?3ypa5!j#ilWesbp_U%7oF?;UsAhr~p?zB13iKWp zYuiL?44umKTU4RbV0^>2jn&7oK2*9ww35o|J;{}fF-k&kguYiS zm#5hRS3hQVFf^F3575DH2OF4yxMMD3O60>X>6(1@`%uJTGD*Qhz(m@*im8Kvh9u_I;-Mbx9qOir+Xef z9KU7^(&^>nXfla(1v-$;WS2;+o(&s}PIx;JmMGBd zU;OXhG{Y~PfkO`q7Gf`6lfTx|p0Rp)@n&R2+nU{W;rUQpGISC^h9CDxtl1h3Ai2B) z9hynfG^cul0wg2mLuWAbrAmw!I6R|NnD8>r*5C7;W=lflYLdJNbU3O^xvJ_lkb
    inTumhL~QK7z=a+9cC-XlfpV@-JvHCy)a3X2;*5wV4*gk0@}BAHFLF1&Zrzm zz$B|*Ub+p-V$RX&wiwCiR5E?+0$y37Mgvkkg(AkNMw>WDS;!Q?!P0_ zZ6`R+IC)c(L?d?Q%n36e_RUx(r5HFx` zBYbw(#Lk*e;D&LwY^wiZ|L2{!`-qxLG-FxMCH*Fihe}y7M1tL6KVj=Id#cZ({jq-P7@GrKvFBQfMC_F(DaPM4mYLipptl6k%F62%V+Q9w|E2_Z&$%?~xx z1ZzS)V-3XOW}X1tV2{KXV-r;fC!grMGvTe$E#{znPNDvzX&4TYbe4FO&DKMg<)qx6 z&8Gbm`)<(DjKcu_4Ft$T;BRsXx-=_O691j?>>2b$qT3dLX1`J`oJZbz=l_>5*r{6u z&6YtpedBLFy(dewd#<^SHB1@oTuNWQ?=ki&#B7dUO@tHI^QJ_rdPX>fd!f7f6dzOj zEOdgI?qe&`K2=repd4j6gga7U9le21{Ir6DLDK}0H?M=crkXux)%S8E6!(Y49GmTC zdSGXe|32|PlQ4?FNi7L&#M>GcQWtTdiW8fB^a}Zvhvy{A0dX25D|j;?T$$jAY1MZx z)*!qn-%8v;73M+b>Z-mmkBWiNx{3Tzr=1lmlxj%+Q<=Usfve_;k<_hWpFO~V@iiLO zHlv}I#Q-L`(RIl+U=}%nwugR}FAXh|X!vV%m6%{s?Wy&8sFoh6gz-z63@Ql@HGXD>8+8IJ`{DX;cT#J(P#gFe(iY=tRf`^y z=vwArkWNuN?ZoNeR7JiZB4us%c!Rp`W|SY;8|ZfXP_vsj!hM!a(08F||0T?9APeE2 zG`~x9g{B3|e6FW{3U5oh<_A$nqD+y)zd%0Zmdt+N9A?S)zXYcRfuB>0%#-2Jv>#N| z{tNNPh7s(U>bha&m%R;X=M>yw{t3{TgVSOpk>5Zj7md+b_|}!2l_6#en<~+&DuU$l zW0fWnbffFor86F9Wn3xvCXN#&_YodNga==hD&JGmFqmg&7o;kGA zXVFK5wNkl5*9tbE2MjHc*uNRrui1}zUPJp0{7rg1r)jrgjue)*g4wE9*|$x8)7Z%T zb=CKdd=2j+;tqPd=Jw1xJA995R(h`v2nS?5EnbGP9GEnjv9NWGGdBCu#z zXG6NWd2!uPe-zhlC>cwCL-&_?YtEO|?R5<^eDC)PAW0jEveSXOpMN1`#BQ2YkV->{ z_CWS>4VxsFbK^`+4n%lIsDj!=kec5c>5<~i>XvsIMg4gj>P!0OB-p@|#1u8G5+iuA zWQdT+hygPLTCw_9)eY-zcs952OuwNm9YFH{vkzFq)LNo`Q;{#WC(vyx5DhZ~7&#Q7 z7T!f*L_-Brjbo;ibI5;ztl|o8?dm&;MkugLn-Y)a)qiYJ5$@ZVfg4(_NtScNI^d2L zk8*6LbB9^ZmRGh?eW9|_Fwig8Mm;c+^u;gE8Fc(LdsRxH?3NUhpfB1KKD7}SqeodJ za-chrcVcHS7?Loan=djL&|+P6 zdc0RwsCu+z8=}9(~+vzaLyF*fmDZ%{$ z5fX2&MN-pu7Y&P-4F;SD%>4nz`?zn|62eb-Lm~DcapKnd<1ky&cie555S1ih%=dTq z{Y&_=xD)O{XcQ-PHp8!I)44uD!WKEk{s!2Tmm!w}2a0#j8z*Y}7 z!bcl;b;8)1F$cAg{Yl2lnyh`)J@@DYqq1D;1gZk0NctK(UlpXiUH4G_4}te+pQuL! zxUn3~B#S-LA*7$-IN0nWAfq`k6bKUCkIn6 z-5ziP{3k_q?L|779!>W&^KU!XX5!Q$De(mhqn8j5t*?@?5^Hv+efIG3Y(e&)_s`cC z#>`=i65UAo!Q1eCGo2~Y?Kosiyyd|TX;-$0lc;ua2t)}{Gqj4Nz3^k3Z*aG2okDq3J$G#?d%?#>7MJDh}0Sel*7`w z>oQ&ZV36X+!*`4)2;cm!qNGZ}l||%4A4RBD-L9Up+N9O5Lbf$?7BmiPH(aeUu8~Au zo{}AiP)YD)`o>@2^ru>o{+mbLH~E^}Mxc&qup5x3L&(JdRdBF40#!G-T=IvZZsa6OqmdHR1 zZ*~a;d$mo;&&eHrUqS*ml+dUY=s+|%dL$W@%KT0p;CCExo#7Dv%U34Wy=lg=lTI#I zpUS9NMvsugG|(45&eZRn`y*So35P<(x3``u__%#!-7wjKHWbZS^;>g z75nQ}G(75WIZ_Tfq;%b1#MMW$+|%8kAH39lzDtxq`fmY>W4%QlKwCW8x~K2m*MtJu zI{qdAz)YUMzHU&`5YFG|xlB|;<}}H-+p!T3vS6C&)WRUVGi2CK$B{L`56P~_l~Y@T zm>0UHe^v5;8I@qJHYiw-QHAuqE&)4pL4dH*5^L+R?2(5@Og7Z z8>0rT=c-R!3>YbVnIR!Jr0>ame%EtHY%9=>cIvY=Bsqd6#@x_>-zu)@5eN8M%j-Vf z%jvzf>+971Zy6sV#h+o@9p!A^<<)6b38QgT&KR_N1(rAey!U3iz_0x#G*qz~Wnn_K zxc;+yPq=tH@OHw!pn$O14Ldzvg?#W1EZRK)6d?G8P@t^88~xcf`x7KpoP>ihv9U%9 zsMnQAjoA+t+YWGl1@-BM*+#wp$;Rk|!Y#;&P$KzHR!TRUdeb$D3}f zN;qe<1CQMPe-1)93@13X#`&}{X)TqR|9sgUNIvb;mQ72x?x5_1foSX%=m`>y1nh?C zM1S=Yzk{xC&{x0%<>$<#DUcrS@%=x9{=eaQ=$GTd2t)?++25+gVD!dl16vrD0cLjv zy54(WN`RVTpf#gKUd;E*hekRxCT;l}Y^^wCFsh8)qdL4k5-S=j=!2j_ibz7>-G4uz zXc@%NrNvPcXJ%&9NuXm`{bno<@qy?sdV*;@GZyBBTemEtA@TP>7e7v{*gwEp$9F} zk@|}xJFxzvc|q|aH&IKK)hQ9{-m4H4aF5%f2VKq9&cfmz#`wj?vNN(CAmnlnIMlx4Ffr;C2bP`l`` z#?SX=aAi^F)qJMvd)3y_^3a_jx*w-az)kNnWJ6eL8K=rkt|B*cepaK3mrWP{1a{8C zkDs8tmavAWRM9Xg2_eI#Tus10=rlEr!TzU56d15+oe({hCvY3|Kv<8Hr~OM77@Gb! zRocj+G!I6BiGVJCQ~fR1TR5)zgH?+(-3Up$RB2Ozuz*~)9c1@8#LBqn3MU=?tOhj7 zfeCJ59Yb!B-CK&Qb5PY{l8UZ8q<>*AOIurxhY`2GE3V8ABY==U6k+bKat?~AKji;S z)wMK)SW0qQRi44Q%|6`#f99DQd5M?gyNJ2bmfIYxGHSt`LMB&>S$Y8yU*HP{JMSz; zf!pfbfyBC5LgE5lG$P)#$)xww4JAbi6&7_T@eMk@YJ)4;c<49TbrM}obi#pkwZszc zJR3^hMgH1ZrRqV!7oH_zt#=qjb;E zcU<+33;w`-q17ziwkEjeyxfl~8EO1^EDyIUyCsFwD=yz3_I7v3DqKHsKiq<$f5>$G zyODyCjuGW|i^!QF=pU)AUxM6U{?keRO)%+(aL$V3OAQ%?QoNS+3xOjABt;+z1pcV0 zary&H=8!j;s8kyTg!Bk!Ob3A)J~dsBDKXgxrljG2=f{LnPW)X%Vl&==#t*qFMJ5c_ z$4*~Dy{#{m8?6S%BNJ3}eGOv5!cq}k+Ge7;s--jkW&VI)d*jzTfP(9GY5C^;o9Y*@ zn<7N1C~^~+&*StpVZdgRN<<-!#QX`%Vz1NZ$c@^`XZb?fjTS2wl@xMp0?aA^#p$pm z$KjS{5$m~#O4Fs7RVpe+gH!D-3x}?mIcP*Ql2p4HAtK@Uy&%`F$uf2#=S>5?U<$Ij zP9r}L&K?hjJCxL~{4;f|&iLCLr7A(^vRSqDyHl>0UuyDEAC~kYhH&N8w-Qg_`W2+9 zPHjtc7txjSGVBgcT866(y64*;1%ss_h_czFLRHZ=SDr0f5+#tJ5uK#+fj?vw+7X`Gsz7(F;so-jS^XS*E z`KRuJ!vA_?x7s(`DR2t#WxlPQ-QTyrYWZR&I(bQtbB&gd8bYcm;f+K2aZLz>+D9vV z$T2!Q;%;jW+jrF)QOWWi?5xQ_UfxTa9S+^-M!wYZF?(CetPPsPmn zg&Z6#-6#bBm9E&wt$EVe^f_SfcW1o*Jo&e*ok@w?jb}l=%p6&@tVB%ye)nJmU%Qt* z=5nl`No;vK>T0B7@nOin_kdLDb3<5QWv9jXtF_?~I6P}F&-Ay4Ht#ymn@#a zN<8A3Xme)5&-szhU!^Yy#%#=%<-e5V(5CcVftQ61r;y}6Af&XS1PaqFJa?{67UgY3 zYZSaRIly-A1;XC@wcq}KfqsDOV9(vx-{1fDdItze6X`JG;N4zf20Z~VF7aTli=ZD~ zY>xY%c}5Qz)f+v=`j%18LXk#|7eEmh{v(z_l0i0kSX1XWXcmDJpv?#@ZtkuL&YLR^f(%uT*bsdy#^-^k19AI%30Qgq7$)gtOh4q}pCz0;#o0u2LAj zp}CAf$$3oje7P`cxGPu2A)Lc*{>x=t;d+mhmnRInKia3`v0t>w5#1e_Zw9d1vEjts zp18Rc{{E>YM(DPqSc@hXZ#ji3=9OQSLp+v(NDLy_c%Gtve@XfBREVWM0asdI_Fi0W zEDkAV^7A!$XDq{Vx?%qO9et6}pbwl)1%URZ98$J?3WF~a*!LMcSe znewj|1ySS6cKrUNvE8j;{A8cDG9g7<4AI@@kT{`YL{-RcfS+Hqat@msYJTYXZw<*w z?7A`j7rk^sKdj0mWBD^wO9|x1&e7z;mBKg@E)SH`pKBTv_=nQ88B;wNhkv)n&j6UX zOAAysbWBgQ1T+?b!Xw`o6b+CiQ`ML)pZzFk?{DH-;>_v7*NpS#EZ zPkQYN_8zzCMQe zIQjf&quJ4=5bmcSZOT%Ag}ViQC}B2V8tqqIx!t2wZ~VY`n3Ez8d`6@YAdlb_ffj!f z`?tsvSb!q9ap+rBX5fZ)qR`Pm>*QQcto0nl17NTK^lG&#UX3g-Q!QvadTvw&uXWjX zzbQ4GGpE-x*9|A_ZxWN2q=%>XwS3Zl2QOXbaD>>NtDlD_dXmu*%h5U!OYo~vtetYU zoBjdya7(B3=G>fT*%haBZ+SYao=kh36ZD?p*}(C<*{yIav$PQo5WX| ztAlu}UWUyQi8sVTDQD)M)=LRbGaU(6Cv~s9;WPCqYcbsl znkw3b!?xq%wDK~poJ8?6SJThv%jD$uAX> zPDLIwWTb6mr8!cYymenuSjb0{q0++P8Ni_>s7x#TAovZB_=I-<)^lEFS|$)%C@~N_ zRGOV4slnB+==>t?r?cVypOGoM%9M9a24`ny5^OJg zBJIJ=gASp>Or*nkYl`-p_PCDL3gZGjE2?E5dr7Hrvh>W6!P~O?%-X zRPbjU;_q&A-S5me%{KAS1XBnUc;2Wfx=xilSm#Uz?h7DW{e9aX62MF}98J!el}p0? z47+pl@&e(Aeyr;Js@X0ol2wKjcz5C#yMRNh2%R}f(LkIP0fDorrK6_+3@V!Yd>$e8 z{rz7T*1fY6*%^A?F`YJMJra!=D}Fj<+ON8_=4axj*}Wx4$xU%Hy5XBa)9l|@VAHYL z-0sISEbtZ~1z5^6AiWrgry@4xnzCm$E)o?{FCtEbhZ6ybS%d#T>i0sE0h1MQ2l@ht zC$F<;cCJ0}pX?=?RQ0@0Xi03|-7#foIg~UANy*&a6 zeGJL_3euVBff53$X`9?M&J91eTD6ny_d(rjLE)}TPPOjQp=-@3O^d>SC-#tiIQ z@8|v77d_wqwc>o*Yaf!NDBXTb0kI@c8sUR71YUFzC>ZK$af`)DyA@PC-=W@>=1?BD zMf;TJBcjh}gNFL2<_ZIj4`rMzTk&eMDN)@3xApl#c>Cxi|$m;f=<)ROz5kp1m4PYix6Kc*u8yxbbn5^x}~bfXrGUW^UvB z{PYyE>w>C3?3sYI>5im;srQBSQ)t%3TmD}q9ZkPd5g`uHE|Pi+EqrVZN>&??KRLgO>E) z;zUTbwwD0IM8>hE*xhcj+Vu^vd4YTMIospk=jTh)Oo8)sYLM{uYo$ekD{40B+hZo- zYc-aB0q%-tLmZ~A6LAM{AWNd?qeO?WLI~qz=~!;R<`)w>A$rGI;TVW-yJ!X3W!ms% z1@&!T1K$-Jo@DOW(>I6mH&J{*&fjRwU#nRZddq+LvqotVgeY?Yq3cGmvsHzc}o%Xp^ z@_g2)J{c{Wf(Bc$3ds2Oa-WK4*Xp-b?G_+^h~O|=qpp#jxagUdTXvF6zi(F z5ETEgFZ7hY2bh4LyM0Cm~g_yG4JF>D>YO_S`;Ob853@PHC&Nm6s()R~Za@bSKeQ*~P4cpu3 z`OeAA9ib9sjd`+!`xg*Yc;wyKft@9%eX382r{gy_xdMR4U;DX7nDlO%bfrs6p{Ytb_D0O*A?)H3())Aymr)bxB-#7}YeDMFE)R}x z=ny}kbk{Nu<(HtOS#$1*({@GuH$5&yz$|x{Cy{<3;IS&Lsys}tocft;XP~r+l=uj1 zsG*Iqsx|RVl%b#)RxviuyG0B{{@gKEPFj3h5FU`jE_2V!GdzY#2dQ zSHqQBsq5I3j4G2Si>sTiic9t?fz_A*_lE{LkGYaAFIgP!clpw=?Pj)Mp}a3JI!w?l zHCTMUojSAj7oH4D?+UVO#u)Hz_wT_wcMA_ zlJC3*ml>4>UmGRENKR-K7-)NPNBlQ_60S0sFS{u-qXC9Iv!@-eJO!_Agr|ENWa}_3 zGYP_lPNWH==C*@sD%`!6hw_HQ3MP9lG@WZ>EQu<%7QB$^gv+xYQz}gBJ$ZcKPmhAi zg*Bw{R7N0EuV5aKq@lfu0}o0nT((Vplut~CwFrX~`b78c2jgGzN#^b7iHLF*x|ptC zYGPWdSPS?Y>uvIE+GfJrsfO$0D=X_!@G)XXTFfF6u?~g(oO1}XGkez)Se)q?q{=3X z@k|_jSe$a?+1}BCB^~;G!g;0ZZ+MWqp%XAvy6_pL>&h$t+2AaRQHZay zvOG68=ObcLTie{+tPy^W*}S5r4Y~dfyKCc@fa;**%j%Dp+v65MxI6dNd1nboF_8PD_V#=mSpc+66Fe%Wr2Xl4`Z*|HbZ9OAqOKWn`S4%-pf;LL^(l ziK1bdLiHl7qvOp0nW^=?YK~K4nOICnw8e^sHcCi&%XRyAQjIjO&GYI7YI&Y~mOW0a`w2F_UUe`T&%+^@S?ew|K#kntjV- zwg&RmuR5DYytUk41OyNz4Q z;A7I(^FzS%D?E;URI(e@=OeK(!IxB2$kh#gFB!~lndJ#Q`O^m?pxNL@M#3JQou=7meiA1Et>n|l*nO_5Ow=LEYR!o|fr zOjk@$HN>>KbGm;w zdkBr$uL!rvq!y4DTUuIPy?WK*qhDpD-d8q6xB`I*(k=jgg8kAkKqf&F?D zbR-6>v4|J{3a9LVu9X;LclY&yC^XcJzQZu5Pc*%K*oL46-kvo)X+3eVj>IDAkFUky*Emr51{{oJI`0_s^kq^NRTTWq!UaLm#pTk>@L_<1gTax_3svp4(2U_yjxM2FZ=9}9(op!wT z>-i==R{~x;IU?q*fZ&LD^Y`zw$lw;A%1|VFx2BEs&}ATlDfq1uI(2!EJq0L$BDDa%qfHl|I_*-{nQS{>#TX;RqfG3e z$g5UjN4x^nAdV?*>Z9E43pYl2Qh!>Pt#1`GLB~&rhw^eFte{U_U=h&1(vg&W)}oi`0o33qPpQ20z2;z78;cY4}wz%qygPl$t!4FpZ^ zu`2j~joB%PSo%sJT99WSu8-fq;2~2jPuV^s+hjb)$OeCF@+(qj30o%~Kbqmrb3l!& z@m@nim3|kve69p*z&%03sZSBaqd@I+oyOH}@$&hmsCZktslmGBkX!rZo z6PINC2hSos7yw(_t%#TIFJrQ##nS}venMhp3&HGj$g1a2@!rM#Pkb~SxRO0l;N57Y z%v@BTlf~|mtE;O6o@$?Yf9I(tb!~5jkb)HrngXSfzl0_f+3eLjZ*PeL01$zxSc_17 z8nCPq$xnPrPqvLjC%xO++5%Vz(uD6UoYVs%D{Lj7ZY9xe^srnd0do5M+?6lOdWc5R z&RpE&Ocu_;k=1sC{%a9zqVb3_jP_rqkzcuK5#8H0?KLq$_M41vCd{$9lWzaZwI z?a>Kh@&09Sj?Xh8-)rm8(JEPWGl5jKkoN3R(%<_s#`U0`Yp75}PUB~&V*$=VjhL05 z$&<@*G#uk;rwc9FQ$IpXA@^K|8uM^Yc&_oDOE(HK6(N5Vp?WFNt9>No%8OX@{b528 zSATzOY<~d?TH?qNl~0e`R2KU{8Qpf_IX#+&FmY@0k-g0~b9TA;<|f#ehtaa=U{w9m1VAkX*-_wb^~LRf2*r~XxPXI z0?$Uq)r0;#Cc9LcKqkDgveHWy%r77yut}DNh1`*K!8Qqw!62-(1SAz7mmJsIyY=LC0nSfH4%&*0cEh_3Fg&-%Gni7 zGEzjL9rU5h=M=9<4~*&~1YeAT>(XE~IX?xU4RXQ!9EH)JSE~FFafKt@xV?ENgG~a} z4o3HN@Z{PLT#belMiF=Dc#YasvG@zF=Hn*ZsS$#@p~}*{2$xSE96=*=pcWrt_z8k6 zACmBn)8Fn1gs%;f1A$f$QqXVQzwkgtW7A?%yLA_sFfe7;cc2Vk>xNs0O{N=Y>Z|S% z)K0wxheR%_NgtQ@t~mBvk6s4}oOEx3AIcJJmXgxG^&u$Cf~i#sD39qf>@6S+bGv_f z)c=1PLEm#%e9k!9j~QCxuE8O**N2=`DXU%TI&lW zXNEnybE@5+czf_Tu>+Q_jf6kRYUgB(N-K3=5{JQ2GWCucTmq@Btbj|vd8M8eSI39de0b-=$J?8PyP*4VdmA2S zQb%==-45S)}kvKGy+xZJ8XzM4x3LKyN`c{vjzqxJY>5O z2k*pCv`>Z$P_f%uTkSHDSvXxd94-T0KNT%2!R)=g`Sm`&U2bV(Kzm190WHqX%|+<) zyJHPDh1r8oH9ZuMTEPdcu|*5w^LNeLFF>!_--WKwoX`O4`n=ml?a5NoX*7|JQyqVv z^FZkmtyF0#vFRBu+HOYza@{_~vd0#Ga8DB~{}|u-J5@^k7enD|he> z&~PJx0$&Y2X!dFAFsMXO1bTu9%{Yny zz@l5S{@XWUvbfGaUw#**fNBZ2;HQQFy4u^@TU}nymyPSH|BLC?AN09pfWR2*XSu>@ zdUK^Jc0cuLGz@O?pRo5CCUVFp(fdd?!g+woYfZWQ_T%9jDUo~Ie)g6jJj;8~gzRQC z90iWt6|hpkSyvyv3T?|1M=XiTdF@oM!+0vMx2XIVe9{&{5184xoi!`YD(cYtW1e2i z`7ouMCC?ZJ0u}?+iHL`|*<|yu6oq@EQn+O)><~9i-(OB&d zYOI7q*A(yi?#UwYWZ%2GLg<*-IYG?gw{PFT0jI843lq2XJQ%0EiV7V^fPw^UTS=y_ zcACD7Ubu+_4?fmNrEnM2AMM)2fe``eid>4tjisdr@}$enzdYMDVI#kI8&YELMW4@f zWgrHsASv(Pc`wc#gi^Yph?0Lm9&{A@5hrsi3vm>IriYdMlizgT0{BG7Uxa4c6`l=c znyD-$hQ_jV&E0mq8>OoF{VeqQNX%$3+-~4V&97mK62l?7Q}FCWB3nKUGh>E#fd?M%`qkA}5h&dl9@FwcdM{Sx1<{Fc^`T zM%PNz{%W#@566aQ}MWn`8Emg$I7LegDi&;`l6!uhjiQz;CBYQ1~9~;GUK+i zeqFT%=B0un(<+(ON5rF7BsP4PWZBiXFgK1Rpa#0RNkPLn$y;`O%ALqd1`A+cUj-Z+ zZgT7h(3H%zqFVF9prEGts`nqtrseI13e?!h2pF?nF;S5NU$U>6D_<7&(&S&PuJ_Am z8oz9}+Rc6m7^J&H$@vG28vNv5m1=xiFH-#62n`bzIS+c0(?{T?3PX(+)P&#CA0_7q z?{UM6p!`ec98K1cR%&ula%F{^tVVP@);%xc>J<8Tf~-Cp99IL$RSyem%TRpUpA!~A zTQHHUb{!2eoP#?=4}F@0J1M%tPD5pik15oXOwB~(tgvB5IQL{$o3m^7EH2qLndLEr zZaLA5L9bDdlcc+;_<;dgK%tNGOMQ>(qNvJCd)e}|nkhD~1A!^60vr*_7kG?%Kgl|- zf^lm@lta3bHI|o`Ey%3Dd_ktLU$4(3 zEP(IBFtw}y8J$>H-tivZ<2t>4he_dDZI!##tF*A$u>N&h0n%;)%#o0Y5wGAZdi~}Q z(G2AWNf$xFs|30)FF5f@WfgTxQLjHhk^FB!R^j>iIY8XKfB#-VdbF$K;yI{j-Eurz z=W;j%KN}ceUp<4#JXeO9iBG4qVFE>61rRiLr3767n{L;#sy2P{#e2P5h&v0#4G!ngRbX{(t)sQoRc zB>bUUaWEbT&-^n(e8%c%@=5M*%y+YDT686<=c3LZtsY`1vfqMkAUdi`Ff!K$ImD&# zpE+~;X2!;%3jvd3*F(CJ4v%a^C#}3j=jTMmZ|0;kbz#lXucole+iGo#vWoTk+sogU z`JzD*vK^TuPXLX(ltkEEY7UY9tB^`@ZRGGAK~bbSQ-9Q<`n2iSYqP}EN=4|@j>^gh zQE#T}+RYa=cZ8`5%JreHJSGoeqi`9Ug)IMj3c^$NaA2taT_eWPd_Ca#7c4@E z(_7d#Mrxa(lD+eEHmZ&mv{%_Fgg7%RIfP5}Q|y2A6Pq-ZWOO*qa40oM$=%3i?(q%` zz3SI{ZYqcaR}b`@#P~U$S3ffzRx0tlTy5Khu@Stf?3CO$RCRZM(bevY6V)AqB9izq z!o-wDR?2Qe>$vu#yT`LEPZGhlOaPJ|t2{GF{*h0uSU{D|tnEdufm#FLZ*^E;hSFkfC zjP|ol!F<2PwAI&!hM8t|ipnGmGYTN*WQ6-<`~qaSRGu4H#dBI zN1|?Z!sTl(t`7(b?Mt&7UCCRro?UnDMdRF$rSJEpniy9Rv%Y9p`kdAiRKT5)i2F7Ahh6mI&sP}RP9oy@xm zJU#)^cehy}n!ff;&5_y1`cJ7H?l_I4Cqt^(jKR-YI~hL zQRHZmRX^QG`MT2UC^?}+A}<`@#gvq=czxJb{-ykv$Gc-csqDG89s0r7Rb-L^4Hla+fgS#;Zv5DmH)|}smnLL}uuVNq`TcLxe|x59zkf>! z7b-539~r*?7sye$eROzOW>2;oh}_t9zYJ?c-bZp0$(_&_To?JsvfyEB8_~RXZf}8U z!B=(QBN9FZk>h1hgsPTm62{ck9s>OD?a6h!J%pv%MDD_-!vuuUd%tV;ph}O3&iIe0 zmpayU4M=FffytSGsknddKdE^V+}_cq9Av7R22Yws=AAw|OmSf4_SYJxQ6I^#d%{}v zXOq1M=8yfGa>FXL0XxYB!fxcbd|H(L+~_$4i$+z^NiCUz^&D_+AsiW0?9&hmL3gj? z1o7=Yl6#&IlS8B_&oCE3*})H(ToHG@{CB0eq$H}>unmC zUKzHyWGq!1w!olfz7p$dS0pOQpp@0i07|D<6c6SR*jc_9yKjGWg2{U(8ndSZl!Ourv%SRg~Bz~3o26T#-bp` zbXn?!s_qTue|LJ5r^eJDQ%7=|`?MKs^7^>3YZ1rzbqziO#FPKEHIfrSah0e|52XW- z?F~M~AbVN2GsUmT5iNj6;)yEfNrrov66-yI`5cRRDWG9m9U&))MjFIY=R-vf?e4_Q z0u5??3pU1FYIr`A)=I$iG4F-&sNc1AY&jwS^(=0J76XlSAo}Kvd~&}jk!Bc`fb}1F zc7oTk*1s=&vitE=$h9F(gw$hBU-c&cB2Y=NsGHT3J_Cct*bBQiQ~hDM9HNb4TTYS_ z#T=}|x17=*HTAGy+LXajPDOrgrb&p!y=j ze3Q0!>@e5tJoCX?S8klAAvj*Me#ojK1O@jv*kj-az{q)TeB{?F=A<9=M~w1g*w`;w z^yx6+z7*a>has^g56fWZ#08af>86Q<+|8qCD1w!)xaNt2hi91%v_Zf|TgWhM$oCI2 zrilV1U8OX#giPKa6745`HTZj_S!@I6JSN2D2-nPc)007FHAKdiGfuFEF!jG<=+uS< zkrRz5S=0{fT!3zDC^SE4u0+}L?c2AUq|}&xz;puYS#VR&91*@l=0=#ISd=EHGT-K| z7EwN#6K|6^wDolf9UqqG{aSxP^qK^`bdQw#f9Gl`ergK z=D96s$+=i4R34PY^nMD@5|U?7528L|yCq%PUM0C9E1@_y2jdlo(us4g>S^nbSO}K$ zi1D~pL`FJ+h|~jVqAsGvo_>C?k!qFbK$4t;rh3mzZbUU>0#sCg#wD@VqTvsXYo4~t zvltY&lcR@Of0J_`LxWJtUd3PZ+A}Hc1{#!&Vjh3m#jd2#Te(gd6fCropevra*gnV& zh;Lc{_}5tEhe@rM@?xv050(B@-n;JbahrzC5UXJ3$$tmWkGX?+=e;lgxxRn@aCjIg zS`0$R0zxJ5e|8=0WzX%48=^PCK1R&E4JEs=W0&Y|%k8PCq7`+ZxM&i|GAxiB93e!S(O5tOT`Et0KiSuCAk4 zNku(~$o*6z%PF}{&14%$zF|p?p9eHQ)aZ3Y#x#v9e*L;$YhR2;HP1=&VXt_2simkR z38L2S>mRvnP+g{Qzb@xLF5@aRtMG_xF1}veIOeaRh*6~=`*p*gy|J} zL(^kt8$KO=1~>ww9<|DG^%gWtT+GfZIoa8hV^Rv(tIH{9GeeooL4z7)XFAFU>7Wr6 zy}Q;xck1+kVAngZNHXA1VXqfge2}c?Bn)BW$g%!3!BH%}0h|W0{cT<+#JdEKR^#XD zl_*0f6<0@|!`q+rgpBB3Fw45Xdxz}kFCVn<9yKa_7CYh1D|EtW#6Y(A@B4BcK0OKB zjCh=pxAq+-bRCfSKik{eKn=J!16~46XFa6i7%ZV{-);3GUXT9 zdB`HT{*6*d;`R<8uem(^oS1M6SaC_#=GeFw7h&tI1D&{h89 zn!81~8@qp&`B{pGuK@$sPL{iA=WAuv?C^jhmnysoctHYXNr(uV0UG>*e3FHX9E)W_ z;ITwy6qy0+XnWftARt#hY8ALp{M7Foad_p_1LT94@(Rg>JFuJ!ArS0OS5bCkwp2=_ zk}|303rfsg%~+RiAb(K9U^t($2gvHy&?q5pR>2HsPBI&AW#$gKfa?u$CyV7>Jyf36;Z$2@WrP`j$SGiRH3ADr|vdne*3km*-Tz(dQ}DL8V)g!{(T zpRo8HIY~jJ9cLwFEcuY}%G{KU>Tfj`Ra*t5g#L*jHN0TAu?x|oRj?PbiB-r+4D>*O zE1{98RQ^NcQKglQQ3^v4V%n5QL*vfB$IS-OtUwNy`{sQ(lXf0&11O24dF?7J3AF4A zbf8H|+B9jUv4**!5sYV=S0uB?9p+6Pw?eB^RlEoV~;;P!gj#lyblot@lk%GiyzrObFKClZjPSrd=dk4 z!ju=eIu58m@}}%O{r%&W?>aUfI=}#C7}7qz`|sjlYHAA9v=O~q?|*j;*n(N5)?d?X zobbTU46lyCJ{(NP09Yg~d*%J@x%s#+*h&+^(MSDZH+jD}>aLRDoX|}$o?LCaya_jO z5LqQ#IJLD!6WQ-6B%=&z{No`I|NMBEC{Gji0e=i=#(s9So;s=?$G!2pzbgNj>UFhn z23HT&%n+jP`iP;NFJIfxdQkomp@KgwRA}ahgACDJsA?T_YZC#t`L4!-`<)EWbo54T z&b@e&9*Gg23pmE!Y`F} zQt6bLnS&ty=RCiY{>+GQgX;mcagJ-KSwFX8=1S&)WjNz;*kC%4Wv?p=-rtI&S_8V( zh0AJ;vQ6%@tmzRUf*IJ|EuBdBb~2AUrUyJ)aJ@S;`Q4t=jIJ6CW)N+Ap5G!Ciu#;8 zg(Mkf)zE+9hYAJJyjSBA3S~~szLVWoONyX1d9xa`<>~{{sR=8K{#HEjb8Ep=@arY- z>aHz3Hlq`CP&54li5E#YHNd17*^LF?0TTgx9?PEf));r6tTdTMv(udUZmPl7d}6zj zGry?_~ z@OdU#TeZ9Iw0wdY3!{%tJO8cKMT~$EQDR5TATkBcfp*c6-F19C3@KzcC!zzS5UOr# z+V+TLAdo&nfHj8)n|_hB&ZYtB?@LMKC|sTkskl`;BAx}r1y;3J@Y>;%{LaqKlrLX0 z)k^$?qLfHTMB=2sd_f?r6gbB=_c>oMyy66;$On<5VbWQB zS46Kfxd&qUEqKT%DZqx{u^Y!9$Or=f3wdA^8wckOT{5=HVe$x9RJm2^!z1n^J_HT| zQIM98Z>w99k)&AUvmzAC8)ro~{h`0CxJ)>7=M|7Ap+?Rw zwTmE|=l$QBkEsr5gKg=%5al7*(cm%8OVL>sjn6|fArR)UiBc~`1f<@hlj*$HBH|Fl z0up4xG5oGpO?01Sgg>#4x>qm81q)}9kqM%0G)y5%!8y+U0R-iiT-9k0u#jmMd=mil`LssyP;+N-N zB>3$Fys_@hMp|t*8^ymj^gT!}V0WVHY|c9ds5RxTHO#crQjg(PpfNhe#{h7+*Qt*P z@>_liY@i5IuD62UnXqY?vO|>n()9(G!;PgbsSF*HkJ1)lm8mrpi0icet|F15bS3r* z;xss}Syn{;!_jO7^#`f4CzI2RZ>>Yxldbz&kSyKZ5oxOTs~yCwb$p-Nxvsj zP{x?nmsAMz>_f?_W6O(VY0@OIw)o7JGl)csc&SLQZgPBQyUIkbectDjB=*&?X3>r( zbIc}r2odimf~t7m8Y0oqnveh@RVFp$arL7(ofGwLU4|_*<`2FgvSdF9J^Gc%CEji! zY4oG#^pNFH5~i&f_Mkxk0aCfD%+LX>Q@khF9s~tMvw3x`4 z8c)}e*rl`SGK&0EB{(V;ReXa>Eh`y7bAJHI*;0jH<5sJ2VV+3rK^w@`01+ryN6Iy; z-EC^0*&qEt>2_#X5p6evk-RtGVEg2P-_o&MT}*{(6*~bi0O#kpLDe5*tews?6=2Fh zrVZ|D0{(Oj^mKL`YDhB^-=K>OJ<@*|Ix$kr%?o!QAJil*9HL(lVvjV_a7PZVFSf|b zU4m{`fn))EK(sHxwB!$QU2bz$1(Gbo$&5#z2nZFq}4_g%oAyKS(paFmv{Z&FJvsAVg3j>T*T1HS%L> zp(?jO+gCBAHv2Wd^Ro)Z|1%bGY3)a(7250BZ{lQ(Mm-ck-bYm>Pnu#d4+%G4h$K>d zpIKu%^#_q?QexDYj)=I0drY!Lzb{;MB8^<0S8p?I7TNvLcmv#@*XE_Tk{mDEU=qo3 zx#vRLZetmPTdwjKkjg}l@T&TzCK-}NU~KG$kJrRv!1eD(P&4aQs(Ki79zGkZZPc;% zKQbT5NK$k96$s*MXbQE# zVfx5Vaqqo!LGPcX_d@8Y_b7|@@cfbyAN3_7b>Y{(CCl47!}?jwXl((+=h^08fF1{i z2H^JhC;CD-RhXF%gZ7DZ#CZuXhOC9@Rb5=R~tXP0kqE6Thh_D8NihGo}%2{VDwSlwE9G z*PyiH<(V7V*8?PgZn&%luXn_i_*lboX{W-kOJB|^qCv#F(aDwor*lLtM^&z3o>UB5 zzK)0~`$v{(XsMX|N2Bi_<|Wxr3X{@KjZerFKd)wZ>!*7w8!zwY<)iRvleMO(Ww2lU z`lIYjjs)Qtw&U?T-;@~lZ8B(fUIKcbcf_xfuK;u{(W&btaw{g&%g2vtBJ`f3K`nkW z%9HT}gNDfuOvSHqa^>#u^?b$c$W>pbc;u**x@t#Mn4pP>WxgRMJ{8zX>cU#Z;(^=$ zL?84Tzpp6W;6%cIKMiHJFCPW_;?=NwK0!$nO(Ju#8o4yPvAZS5m8;qoqNb=V3ROyu zuHE1tq({^*{Mx5hbahFb4@n=P#izf1(e#+N8TsEV*&gB=iE32Z$YKNQM@TrF+BRIoy(O_(NpA>;u(`gPtPBY3bAy$8X5u;Z!NXhkWVGPM0G(b zzR5#<5nDHxj9rwzqmo8VMHggR`GCga%)^WgwYQ(BW@Il3O&cBuCSBr0>_3OY0A&=f zdrO}v_>DaWfkY8;$>dY)I~Q8^mCiZG zUMX;)yFLmz4tH7QcuJw!$D&Mnjci-5G_%tlZEaO6%-{9PMwhposab84R*T~s;4^S! zVdo%#z2(k)WhON0aHI*HywA9%JL`OuJ@7bsKXdnIZ?kiT4ZYWk%oKc1^0i_}jnq(6 zt%tORjVDH#xI3RHHw88jnp_-!P`kllu#it^oE^2h#qw(evBbMh6hN+bf9CxIxDgJm zR(QtzI&zd4>%zj3x_PZR34?cIbdG*7dz~9A!R~y*$}~FfbN@XJie!B^N_kgsub*ns;jxK2a_iy5eAiTHS1FIAc6nq%Cj+6n`Mr>Y$)Cb^WyR@Zhv9N^l0!I3LCz z7y7*<%v(_o`D9gM#u{fm-C;|Y2ftH>&iB>6ZPvsA+_45j*TSNJ*+1xJ? zC9LYiosif3lr{sewaT3GrgC9#XXmJxLpoo}SRu3~CLGBH{{A4!WI7(j%%7*ITVZ3& z0iZ5)L{fND*`MHqEBk6ix2q%I8(84oUc-})#^z(w=Uxd!jHQIFDvT?r{RmFls!M@a zCMWrCDg;sqyAW~%{s|%n07*`>bAGVo@kF;-7vg9-32{TD4sZ78dV{g1jlU~IY1bI^XgymU-$HCsso+AUN9L4| z3dVCt3H9jH+3sm&$dt|gkq^Oey(my$LO32(5w*VWji+wc%#F#NEM+IR)hjjKBkjuy zJOPZ4FYb&nWp^|tT|?(^`!4L5C`?ZBDH#V|z#RANt^-6%6k)afvvb2IY#OlGMTrB6 zQPdv6&tbiVSkaPU!)W`*Xb>h4@dEpFQOTU7A!&U^f5C?slFg0(&y^M|*45%Xu(YLZ zqpePIC{OAs+kXc=41_l)$$_}A&x*V0y2z;6$&#XOJ|8Ir0;$Uuc7o6YX=!sy%gVb% zNHNXGkc=D9qwwG_yx5NZQ$WRD6A+P(YO_Nb{QecCfT1(^^Y3Qk-%7g?eTq%^qZkmK z(Wih5ykSWRjg}n^p*;V^Psm-|te}Y0uDEfkS4@cnx{#=7_`r|xk>}^*{j)O;Bebj0 z3e}SMXpBKpBE|uXiL0cnw{@VHU;E~*s!B{|RH4?6QcdM+=FtQtUcM5aQC@jw=_qFn z5D>1guH(3#nyH>pQ*<=GlX$u&61G1ue^>Oe$fDWzvj+g@dNG{0RD+@0Wb_xx<&X1s zti{xELJ5j9JODWI@%DVnuS3>AD((qh6(JiWekEv7o{DcRuG#RbOTas=6Ndhb78 zZ|ApUi|(0Ow~d|xCmBdM3;=q$WY_cM$svocle^>!B1sBAJjSg)hu5r-ng>fr zB3IQ5SCT06%7Q+HX?-crCe{uSus9!?4jc*GcMT5L<`wF%o0o~)ofat1w~baBzuy@G z)w|Qj$C*$YCiR~@8t1HRZ*NV@;XBJ>Q6tPh#+BwMk+z5*X}ZZd!?T;k5*d0a`*6P4 z8T|T{^{UG}@B>R^eb5Bsk3oNjk9-S1h?tgT(HD~c=!kCzM`N_HZw#uk-8&8M47PBbJrU8)3ST9O%$GC z(p5X!7bgW=HpKrU=`6#d?Ak6oLw9#~cY}0y4&8_}NK3;|(v75acb9ZXNT;NffRuoA zzW4Ke{^vNHyY}AeTI*aGFDA_j+p5y!B68_|KmE0s-q0|+bf9 zdRk1J$lBM|AdQW-v*~FJ-B;HyigjPrn1TNk;x;^VQli#&5>7={j6=z1n%E(F|6Jsm zMz!75Mq{9{R!)N$AY}0b&i8g%#0yK8 z9zP!+0x)8h!vj=?f8xRqyLp>zth?o2%o3Tr0%pKSv+}u z?oPK7v!FHL24VcB^BMVS+i_KCOtdZwIp`In;0R@;rYc0_Pq1}Mrn6Pb0a44YgwNnH zr(hKfvT&kW`Bpu^PX8ukRr5ucPeaX#KGnE&vo@?k=Auz+;bW;*ttvFvZ9l&uC0 zF{A)^(bd_1lk-0Fert`pr{eG|1sL!Y0n&1A=L|a%ph#^!juA(= zDI}Us0Fz0-QjjzHz!Y$tz&Pj1+TuuZzbpnj6uPZyNmNS;x#Xaxwj;A`CiZPLgD=O4 z+7-P9#&Q4o7|1O3Q^&(C&{pMfU*RT^@oG1`HOs_SD8fM;fjhy>U?*w3d<8n;?Oa!6huq>ZcM3qJ*JZa4XZ8y0M74nIsz=LDhRy#d^tS*8x@4VzwgN>#+ zL=%*v0FsK@1N}{Nd{bLn6p^yE?8U;V)iZ!EqPluN*N_+pv{SWf+?sG3ApU;mYgFLE z&FeFl$tB2#Wbu_czJ{K+ohQ_}y(kH}ybf8zYl7+)lC-UVN|i`lLy7GfPS}kQCJI0z zPdWdoSg8SzJ`me?6_Tw%VnJIx>w9T`vl&Fbte}lV6};&0p+OW^QIR$}l%SEt zQas&JcXH(wE1kzh(c=avEJo&`lG1b;;@kV%%1KYRy02r(#l;}DVpHVslT;yDHh63%Rvs}Gpq+>0q*ijUU#Nziphu!r!vDd3a_&1ZC%+n zNtdtzko3F1D<{PaoDt|hzxc0cV#1Kgg-CPL37Nw6Bf)~2NrfmT5V(XLmbgyxuKTsX z!hjVO8}%}{MrQf}cpzuT!owwYgt)}|eA!jDjce$z#(YG9LrW4(fw>}c&)e&hW(9Sd z@slXf5s)F8@Ey>M6@KZH%aEsvv z_E|q%Bgq3NG;hrKUxVd0+<6hReH`znY=N>0#gqWacp~9Lt`t`h$hXlQH_J}`$<#TO z%$n+I?Z+HZNsLK+Jo%WD3JYn8{-P3D*~L|v&i+&G1L$%P6=g4JZi{Z8k|ij_v?QSR z5$Yj^90Ps53N}quyU;w`_Ul>WbO9eZkGzPHU_JvzXib}0&(dk%5s!D)Gb^1vJ@Ff7 zaw!s4AGeu;U0pT1Z5nvUMpl3CGxHZ@gwo*Foo$~szZ<6_UQK1xK;mPjA7dAi0LC!a zqg1Zurl!z71qmQU+*%=oV~RDBKJsrbv<-hwIQa))(Fc;Cif*-WvEJ3zIo$YiLIN8r z!^%pFJt7dM?*>Eg-_dJx98Fmg%8IpFs%;Sj0p`rR{246`ikI>q}4t}X(w8jcw@;Y|I@7dUV z`dJ{+iXKNgdkvhKB51e-P9URYgj%N42O8bvRln&|i%^S@j%Z1_?v0p?*e++Rtwo;V z9NoWcze3&hqeb$q3rZX^VjEtoW`C#BaZw4kAOQO4&0YU@uuWabJef>Ni%dft9jUUG z(Wk#k>2&??ZXV_dZyx%0S(OfwemWl$G^?E7Rmcmws3{{e$`KM1Vl}!NX~E5Q@lg0G z^kO{YRxq4ll6YD#br!%bS@UQuxr1=Tm`i^I?bP1*1p;Pr@u8%+HqIb4K`=;F8)7^& zIbsnZ=t7_S`oR8@{-cO9^hE64yCLP!FhqMhI^0FT>HxU3fVqB{W^Fa}6E?L44p!p8 zMwb_A>FAU*(l|V|JiKX?~dcG z>EEW9EfYuiX+ zXMMErs@vEKj<$Ag{KS~g=iia-@CP1Dyj7i_IotK|fJ3a8OpHR!0)R@YLk}Ol{_^~E zy-S+i_87;j7{;%37Rd)^r>6xmC}}5n#!DuWt(tpEpAqsVaG7v;KobUYu_ptODSS!U`CDe9~b;!LM%@n>3f8<==$^ zQL5z&H+}&72ymMB?-GuaBO5oTG!6|70aXTZpOvL_rLhEJ{AX~TVn&Cuj__4o{oF?J zZ+5h5vSpDASqoOivm}~IR-F|lj;dJ+!$e>L7%Z`L86c%&k}1^gwFsL|3k-@nz9zav zh}Uc1e((#Xn#57dRPK%DQ%g5qririgC+el%*;coFo6D7&UmE6jXFowF&jsr!%uIWlpTY zt|zfQsX6yqp@s->a3qQlA<^_+`k+Np#K`+>!7?S=f5z0Y+S=LzppF#^KP+mNU(D9p zK3GUj6Mq#{3$x>{M17isowQa0^p-`|dO$L(!~N3S)cJCo7AzrO4>^ z?Zs)bQ44|-rN*eT1c8=$wfLFWR776a_lxj z@)18~m@p15Oc+TV)b&fwnaIOSICpW5?`6c;qS7lXQBad71cy-45WkGm!4QoXxJ|J@ zgr?bi3!mzehES&?o{7QCaLKq2N7oN;04OT|Wi`JvE$HnoIG>r*{!bA*$>}>hGvUL9 z1s(p|tKf$FI9DX|;cvkC9Z2~IE~^Tgj;J0z%bxKD&+?frrs9 zTt6>TPsST3~M2+i*M zKdKscX1X{8#FkU(#zCu0o1Xq%cm-8syrT}d;wu%0(m8eI4M;M3PC^2h60s@j{sydr zP6cO!KEQzD6AyBFzPLAUD_Byn*O^FxG_lX_?f78kp^^@OE)Ks%>w}aoSQj05l6dg-T z=YW@%Gr@c%q&gEuR#q@ zOR*N`ov3%zb_q+6qKDp}XKM@JPf9!qhI#L!y-DL?8Hx@6Dq|9Ff1bKcU|FZ9EEOCiS1bOfkufcWYh=Y(%#w?upIWi9nBR3W9XnD zpa~SP(7pTHt)u)v`L-8ak_PnrGU&`-|f78y_T#0SEW@Ommmbh1Xe&R1C z=_5tTx+Nz2aB``sSx?B)tu4DbKDw-JufQkYF5SlfDZ8E3I#ek zo?Kisq%{GYjj!sK&$`2iqDTWFIw7?~-F4KOwr(>qW%f+;>j)#%agHrL?mo5UO#H$W zxs`b$FX<*oGsuSFW%eALoR&dTn{*T-9#-LD*7%8LtV9rcJ(CMZR`WyiCg|R0371Q} z_aNlolLn07{^q{EUq00EG(sOf37J1D^%a;km2^a^7!^ZK&SQ}=twZzfi&zGY1#Ocb zs08f?N!@Z8GFRw=rTbqUHLR*>Tk2%6_bu_;gcoS)WOsViO$c>tWqHap3msAKKZ@Cz zO|7m`_u(v>q6Bp>FEw*OnRhQoVBsrq{=#@|muRBws@^O(DZ4MH@CZc@TXDqenAE@~ zr~6@dDGMTUpi7A$1R0(=O^ zs+-N~B_5B8Ed}5I1$x^&A+?9Up7$hP-{aDUmL(1&B^QT!(!~iJqA{S6@=+w_O9W$> zN%$A%vs}^8CEm>j`KS>~&XMetbWB$Im;C&m%f{k7$O!n80agJQzevhbf%e}&ADf`} z2XzB*@rG=3{ma!qCAn+F51i`NQNmblm}0RhBJ<@ok!MJQBFDkqQw*(C?pLeul7 zY{srN*5n1*(Kx>?baUVt{M_6$?a19R4V1rB`Qz}Idbq7Gr+<5-iu+#QjXQBxjx?Eu zO}SR&fQp}a!q~sFryu7M{9JX}q1;{j1M?4qK%npW9Om~h3!;!7f)N$d5#EfEF6z$Z z2%72SX~v14S&|T(@aScZ` z<k1nwkn_jHgLdME&?h#A;GQU$oq8y$!Hc zm8JoIjvYTA9V!|x?5?mO&HUlx$G_vLj7%>`&cu7N_-W$~4ef2t89z!{l3WLB))~sQ zy-LwHWU4xXPpXo9)zDLe)KOi-WA$aH&|v%X$tG7EtW%mCNBFeLny>=^%4;XaF4>{+ z`{ym>6keTQ>H8DNQ^Qrq+`3ITU!+?L=79+B*x<&vz+7sKcL4dbFwKT0>oy@(*W=Y5GMepnU)vB?-jG+Thv$M^?{7&>&p{Bu>uC&VPLQX^&T0M z3X$VjsFPzuWK~1dqMsyu2r?l zD%H-{V#_&YdQ-dVRvRygktyt+p>IK4A61`PQ9&g1<5qji{AsXul4=0WIlD}%yNrPW zu!6}NQ3D1#-te=gkTJiWND4xV3X4_5yrG;bT4@fGvxyf(p2RbSP}sEh{58tR z`LntF$lY5l&=qny&T+J*Ra@%V5$)if6pn=p(tHuj1LG7J;M=VEp=saOT@9DKjQrDq z-!)yZ@A98J*Y66YKj+gfgt03>d(`S z-T`n<`sM0HQ?-k-xr7s^mp~YcH=W(xlfuOWPjhq0S^vcx@>E7jJw1+LYq5x04`=d= z$H?0dNN6^Xnwy*7uJd10G2&MK_PzCbVa@?jVv>e%8YoE@S4Qx4;w!elWZcHz*Ym$$ zIP_~z!af!9`rV$cId&iW)<{;u*Hm1En4;4-@7$km&;FnBmeT&8GXw*8BJSm~ zORi6lCPxB0{xW8;dzArZK46>*7YCXF@Voo_aLncHZEb)xM}A+d*Xie%q!G{dlgMFRAoeXrB;Ets!3rc;(1wogYtRRjo>Ea31TlI0Ixs6#Sk)_<-ko7)Y380dUHQ%_H3?^I`(B~Z##M+q$jLxjwO7k-RQD! z)^-b$ylrd=wxCrXkT)|mm3m5$!2W@H4W{jP70R7CTnwS0qy&62G_^dwk3&N;yz8s0 zmh7rc@XYj!`^L3;+wmcS4@9oG9l32Mk;ckW@+!LXLtlWy(m-5jTp=R-6p$ti_Fu^;IKAg;Rvc<2hm4*bTgUd61?nQ{bS#aVj_4Lxf^U zfwurSHnCpTctNi){W{@G2%jfjb=niq?1-YQa1f)}rX{u!6dROsRcHNhKBEhq7{%+X zdnPt?jo>){ln( ztw0FV@3wOe?dl?A7RdRs&N4DVC2l*j-;8XC5(k9^x8NnmMEIW+piNGwQ}=UQDCmvo z!5w%mySqC&3iJ;H#1(GnIcUX8y56*v7x)%6;ot@bT$5z27_wY1e*%^bz&h#*JWw}& zFC&EJ;ih3@*f#N8E>jr}q%2H^^ofB0Okq}IsrW2#Qxq)mNz|(~ks<4cVRW3%?7x&Q zYBGRzceADyXjrT5Q)W*BS(9p~ih{+YbIwMPGlJMpASk1#NLPi@rd|{P3*N!Lyy?B? zhs;PtT<#B;3aJYF2JWlPC+tQ!Bo5sb_0O07PGj9XSBjsMZn?))VqOE*p z*J2OO64kt`%QKRkyAgu5AG0z->&LxD3W%gCxsZ>17ahWV!M6eDRXu?^>(8iIt2_e3 zGRv;{)u<9DzZ?C`m=3haqU6M4(73F#K=p{_<19)cgPPYJ`r;~Ny{15x6B`=~JaxGM zv5LLq=Vudemt6w-IM4a%spQvI{(TcyF4 zyOMs@*vOVZL#0=5{hNG)ksfx7QEA&)neiSOhuQ zORLQgk;X1{E^}xnN^+REdEDT72d!bJ~ z$wG!WL@_Q&$wG0yiBVYc@FMTC4Eedtj&yv@two*`C1Y~0Znt8}8}>7+Eo1`;ne_;0 zS5*E3@NxjMSfekss|C?W7tnU_*)607p~tY|y$jt=z1J#ywNd<6Jgo}`C=_4ja@U$i zih_4Lt5Bbmiw;a#a*g@UzJqcHw%bjp-Wyzx6;tc*PL1)%y+ zZLE9`3)@Ews0m8>O(NJDf^d0QkVCGXb5*%Q1w@5wzirw8uJ9do^dZZ9}r}8a$6kZ7~ZI2U$4BN%XUf1 zh%o+3or07kP_Q%<-DEcsiv#yq^`6QRIAzOJT8IFSA(eKmAihtViV%Nt3^ZH9j_~YI zcLHHswfT=WfUjUyl{4c96c6_y!gzrXNhoqYL$@@wx`0W^M({@)&Wvs7(JEs*5f{RO zvbP3W9j2R|+k5Unfg{z@bAtn|?%`L4T&7R5?Fb00a%SBCC76$d`HULKDuq6%q$}y| z^lB@WLyMX{yk4xqHYZ`>*%VB>diPo&N3m(@3(EbR*orr=8|fkANk$z}Z*yei*OC=k zw-Hib%}s2N38`sa1(=$mfdD73@U*Y0oRw)|*VO;!&dt=W3L79k`5YFhZ%)VfD&U|Pirz~sA z21q7ZPSa5NPEd5&b=L{kvRMj)ZH~`i(|2Ge#F*~qe8UbxwNZ{MBmR8GoyuYvtx2>* zIYJQvGydM*-UgV9j1d#eY1kcr6i&}4_fA=8R&!D+xm+C!2wM;uxMES+_1gDpa)sqP zA7`r$DZPC+{&^xvs2Yi)0p|hkJ%{>2{j{pRpy575y~bTs`x;Gf_sn?^<6k%biZ)VM zF2gExA1FTvz(lzW)`8!Bs7G4%Gs!&{a#I(Yqo&JX-SDdo;X*8?&`(A}ML6v{x z+@7d8|3U#5WH1W+LaUvJF(X)`&29Ym&m)bWIB^uoM%qPlB*(J|H2(RKGBTpf9_U|D z>LR7#Nw5UabQGXmGWHK+RB%3D)&C>-?6ymi09K<3!w|=AkHdud_bFz(t9pa?gH5iA zK9hC7oArRep;H2WwRfcwf(8Pexs)C5=M#MkrR%dXjw}V?NHk{s1EUhgm5&kuTc!!9GpU6is-sM z6_=2u5+yf4UnAwl#$%UybNyES2z1ZxjR9jN=m_VaiTgg_82Rr}RM^?t0n^Z2pa4G6 z`xuQun6OO=35k#Ew}827h1TQg)|u@;PM1G7X%PC&biF-)zp-E@x*#Qxu>Yza{J4rnQ1V&m=VI?Fc&sFyqxiEsCbZve#$2m?Ef`t^uQNCX3$ zMqoURsMFR97%{P)a!Rtu#&dbKbu@or)6t6x=S(H7sDJfE!0AXF$qi^PA=FF&FBoyh*xmmMu4N=+*>($cO8P zm?`<(g~$d8qbP)k&?Y}TIrLcA58D9XihuyPeT5L7*)@?QejsJ<+DBX z0s!PnwcOa6S&ldM=VJt=M5%*Kek3}=7 zKt)-GYn5aZ^a3Qq$Rq7UG!sa)7&v)K7mzO|8NF7$Xc+K9fB3k$fjOv=zFW(1=b1$C z8Nge}vBX@c-;&sF{BE^1WZx`s)@3@Hzl5G*)L8zhQEBv$>2^m-h7etG5uDv{Qxd-4E@ zs{Z{s;xlu2_2jq`{)`iBHN4B9@a!b8Al4x>{@$tWM8^$T^aiHR2BiN1<+d?oswgCa zYW^AtI{NpF7=dC1$J-0(xmlz)P)xZizXRM@r$VNBy|d#~*z&ix_;x7WE?Ri2&jDIbnBx(pKQke=eaMVj8YEG`Fau;? zKUlmnG;8j$!W|cnM~oCMC>&@8x9DuTsnCHNDYde2VLF)N{%lD+Wap*L--cGgq7qGJu{BK0K2`0I4ZfnJ$DpE@vGDd#<^m@vxe>X z_2hludB|6JQ!W29tkMQK*6X6dd?%6;_2@z2rD}D>v)5)TLhbJA0=%IZ#2-D=eHMb| zJQOKU0PLpq__oGRk}Ho|*^mFeF_~jdV$`?+__+5-x>g6;WZh$91+#@w!O}d#7)?gD zfAs9;<#gyO9x>Ij;TE8s5{WP&of=wSI<#@K;LOo@KrT4S!Zx8k%6&1S} zc7B8Rzja+X?WFwy&Az#J%C4eQIJE2*=C1U|<<&qL5m7;!qC~W%Ex8^vWvO0Rt>!7aV6rCgHgQ8p(Ze~ z3>lYH`*P!x)S5ou;zn{)EeV!&PMPgYIR^X=^r@n3*0T6vuUCr+SoS#lro9gI6@k0ZRMd=HI2 z$V_ACjE?>^CcpAd1p$?k-bhwepgj&dHGn(-6u4wjg<)KClo^l04g_?1#nKWKFZco) zJe%kKmEByT92fQHyY3dS%ZCf*Y9MT?wzh$-qJPEyJGuc6@DKV+pGnxfS_&t-hQ_eI z4s}(M40dI`I!-7MXcD6L326T)^MscWd%|lGAm=tk6z|uUu8{1<7cnR5wfLgM3`7#C zve5FWFEki%$yyqinM;A8(Xl6&y9lOh6A{{TG7P3HpNnbK?*{7020Nu>Pus%Mx>CsB z6X~T52@W9Fel6Z~0+*UF{Ql-de|Y@zPrKCdA6lu8Dp&JXqsug`3zL?}uOd%q zS*Ga5qQnsS(!tUD0dZWBN^G`1b`G2O z3gRBR<%RH)mUsgEheKt7qS8 z(SjplWlGX^TeP++BVAYzzf)d=3ZtQ(9d2?bU8*3r3puB0TVlaT7b|gT>I22|tIy^r z`IIHWq>!9Qsw?9!Aam_`3PDnsZf5%pQB%0I|GJSkm9H&gN3uJX_J1MqU7QR>550(- z(V{G5r4&yVd&fwOv4poQYs9ITcZmY!jh0S($y@~*fFPA^ATH8zT+uyexFAGH?aMEz3&v@6GrkCxg>YQo<5hp}oTZ5%2v!S-9 zOIO4J2j+%5Jse;0TI1Ay>X}<9Ig6SQE1|^YdU<&nfZtp`1K&j-ieJ8me6n7>|N8bJTU+}dU7l!XfD^9wd{EQ|6255jj-+8eT*W5?WzOg(ZNwUb#=JRx zqNQh5>?d^5b(7`_2{@S9B zMl*%>7{>GWmX$3SO+j~R0Hn6+FKHU{l$*t5{%7}>Ut8<0)b|1oChUHF0EPY)?TD?; zggNgE;<03|C6+Ww4TR`@h2j>P$mcqT?Bpl1`|Iswc&TWGw6@k>kJ186`=x7$Lu8o9&%zqL0}>I9Jm~m?^4j$r^U=*yOS;_~(;ng$KwIadVhB z7RG5(?Ku^SY^LVDs+sCe;qas)OI%BR;t4xrlC`(8FOoLNqk`&2_={JY`DR&%!c!WJ zU&rAg8&l~J!h-#j?_DgXny~9P#`VLJ@5_{^979XqPC!&etUoGnwRW1L!o%q2@d#?< zM$jYFm_PMYd4@s{B6R-Ut7~#`^qaIJa9nuoyUu7uLwK=l zD)xi=zU5G6`2zF48Ab^0=O+Tcu%bf60xdUUT3tP5as)zILS@00NWoX)v}+r0AD;>m z*=nQpwklk$yzgE7<<~bM;GcfJYyxU;0NfW<7|XmwJ1jxcgwKFPD$#QajMH*RH{*zw zlC~)odtpw>YT>Rl4d5Yo!&V3aP2BQl5VzmH2+A!Ibz9YjWFPzPuvK7&(kO`mKfGzF zro31BuSv|;fsCH^Qt@*MU2fA_pE-jFsH2XvLAazNWLt}+7-WMXaIh#9k9?pQmw;mt zpY5X8Pg7UoBi@-*K-47uO7_oa!pGQ)&a364lD`Zb=rotXB1^p-5SKlV;2`L9U4qen zL_5DEs0uU^830Uy3mw)un8n4=@YM223bfA}{dje3Kl+VNvetyj#qh^Zh8UIlZS&*+ zq}wCbFF-OUPQt*zs90&|Pzguyhaq#X!6YsOr1Xrt=24@9-b7P>2n|`@MdDYAO zVME6oW)xFPobx&dLF{&f@P(o#Rs$gYIuQ%biBjXJ{lj_y9Ow-p&g-F=ip)!|qz7Zz zo?RU(iMt93Us%5ndQhuN67z5JPe)xMjQ7mB=1YCiY?TgsM}*ejrj3Ij#JoGb`>`Om z(W{n^j3NQkH$$z3h3aH$)Ms~)SJ_Y(pIk3GHtetwuT>b{4lFMr22;uEwsZhLnOvAv zWnQuKFlFF3&FfC1rmhFKc( zVn26?S1})Q3*LzV#FfgmYvHQcSk&-*9yw?h*viqu*#D2@iHwUSHYjV1y)2RW;a7_b zld+9We}68yMvr)a8cU8|49hW*9m%{Fz?E5y9-BPvx!c;a14}Dz^W#cjVSgS&+^hI)yf{)-LCWh70~38nm=iKLR@?42Jr zHoMT~QboNdE&6rw+SyvFO*U~imYexaq}Te^mflr1%XwcOe>41*I(7n+s-eGT_gt(i zj2Vxi0ZkXlC;NN`l-OC`U-Wv5m^(8@Y5aw13_d@*gmr_J>h}1ZKSqJDjFgcR?ibaQ zMS1lxp_072P>)@15Z`wCzSNMiqpzM6#?GBnogEC~ZP1HYuNBaO*tCBjH#+*RlmWrA)r~#LvspA5V z69_s3=w?}}Ex~~ZW>_1taI-PAH2D;MCu0_)qG#all>o zF*!) z#)=~ZRKub}#%tRJGv4TcSTmEe!n$|zJ+8v8XG5Z>^QUX}QAvxE08+W+4aUy+e}i>D zxM_Id`$m4QXw5-11%&wd-k6Mr$(B6E5F4c~vwbx~pTb|LPs&J*BP30?eO^WBEpz=ZglHj3KqDOPfDwi&GR z$B&%3>p(8T4+&6$BjiENT1&$>n4y|PXDXLz$o>-=R8nB?q{}E^1T_jsX?vIVr>9Om zX2t5fHlEv-f5XX1b)Bx&$o>X(XT39qnx7z*nY zd(FW8>O!Vk|Y1qgfh!58E#W|5q-A&nI_t0M&p}@2lr=;ScvlRtHZVd<-<*m_ z^@6G4Xb5e0J6)m-nycz`+&yxIzX5Y2d1>w@WzTUEv;*N@IrRGPy4oa%>n-pCGrHY-(c)bR+agm{O zM0*0YR_fMwn)kTom>{8_2c=Xu3!`8yo)zgjNy z(y)N0bl0?OlyHq^T$lDB2)Lu|S7c)ZIhx9)O}n5n=*XGB3sD&O2P|Zseau#S0=6)A zaR~P?m*`?1!R`y?DXL;`c5r&Febr@%&rG4{4vz|vu-4kTFqJuC3tf^M{vm*UAl=2S z>E;{1KGdGZ2J}MJpxOts02Kx!bp@YYJjw)#$v+vzhuI2oMl;=S10_GV*u~CWfAoH0 z{!P=iU@FLzB94?dPRLKAjScg;{i#MHe#+BXL1ToqPE|hF8TI8u9gF1k)m6$)WGBks zp?`~tJGd3DSv^9gNnoKkJsLxmj1Q{k4oZ1B)*9F@1}IyY9*ch%S7dUyLhtRSiTx2r zg!ATdJ)im7X(jcy(K6xlQ-nV$d?K(VKwEb26crIsW~MG)0eI_|`~TU*%${Xg%^Hr| zEKP5vd3ldH;MP%X%L{&Z?HTVpw4IEhMi&V-+U!vep61@n9sCnk0h)5GSWP2k*g-6s zf8Lk=2;J7mtvB-0=d8c!RP9c?!NfB7fe9!2mG-<}EOKa;t#pM-#2L8pK;D#!iO-=B zH%*2kuaBtCYLYG2q&F0ECc`{PI7^kvhO3tSdUWava!+qGk*k}HUWwJ{?(^6#o!vS4TwCCg^rn(TiHQ%Aah6Jt$go*&8?L-RZ? z5QOO@(1oL^7htOut$^?Y0EZ2=Q5O$~@RflPoKOGyL#)lr%z!MGC>g0Jzyq$gEpRsW z!-@!-Ky4ZWNaK=cTL5Oa#Qo^Y4Q|jy7$u+DKOh|E3Rx90|9l6nCs(V~Frun&t;_=t~-*6{_$hDx{<%>sX%F^}9Q zTkFGKnktL?ilciE3PLShSJFcpN2fz65(yaRJ#h3ksnx3h^CZEjY+Ng6{ca_XTZFoRoGnZx71)N@mjlcja`T%x5w@-{UCAva|Eh!sQi52u6yS*k3d zU)>VIWm>0K4QNxl)_ylFX4S(1oc9Yr7>i-zfz%1CUV{qT)1hTv17=`j<0g#>YTNYT zI;#>OzS$)RKV!kcsE5l8PXBYVgYKwplKS&qTSi{&iG*{)f?r1C_uHMu2Be-b6hWnA zN3k-T0UGeI2)|r|l27Jtli&H{=8N+3;rcH#fAIEPu|m(C*ZTHQe56sgtcRp)?Nhmp z5>L7bQ3SyE|ME#3cnk8w)B(~Yfj++GRHFDFCxyQrEDYlWL)>Y2F90?h7+4ZTGZ?;) za+vlN`N~0ndPEJ$sk7pKH0J=uR~fUm#pnpIwQAp&ecBFyabl8~`b3wo*mXyW1tDjB z7zy^!&IJ(ae>v%Ub?m*_qkJ$wcodXw_ZmnEMT zy(__m(rtYERPTducTvrg95w)`_xk|2Gd`omu?LAp0j3(ys|Tu}CHD@oMy4nwj$C^< zf+A`@LphA0!{7}q1(x}9LX38*t`NxtgcoQ8*t;YmE#DtC>HM*k24PBOSTCn1ELhPO z6m|9q6#05JD;3=Uls#Pk`7clJ9^LUtiRW(RU4<2Xh?=eQ^zW74*UCh%171r(W-cbQ z3$PyRuV23oi7j8bPrhf+dWrq<#P01(3nj|Qf4wf}8)eim(Qzd3@=($5TX!T|uw)H4 zpOFUiTP)Fzybd6Abi5FNuB|-%^*zxA=CB6v+x{a!7HSIeTC2?}mIItKK06!WMhV+m z3>Juh>4w-`eSM?-BF5#I#TZ&}o|iwqECX)~r9_ZZkTuYxCPIV;n6(Q}?ALFBW1tLX zi}1-@2nK5Lhbq_;BWVG8pPvv{^v=wnM(-)TTO({(cOM#JcSivf2?C*E942Ldz) zj2XX=4E!{IfB&c&8bb8~=mQ1*Y4bND9u?0Mc$3%@!sO7}OW73%+V^W&Qtju=#PF{` zeGZUxhFDcOMP+}NI;^N9{p9VfsmlIM#M7U+!0|=) zPM}Ri3sjh;(f3H6L$DxWriyF4#dj3vE9UJS?MBL#_4%J48tUHR2>h25bZX9=vE zq`1qKwiC(`=v;bo558NMu6V(jJo+*#mdKwT*tFK@vpV7TyIqT37e9pG-$eO0nvaVC zBXl5_nAFzyX_C_!nnZY5h#&G0?AoBWNJ!W6D8n*itZxC5Uz$!|4eb;v1#JFW@8-KY z#wN=anDsEn=NdUXLKqZRdzW!>GRw=0Ih6EaSupJiJTF#t^nqsd+TTz=`&mhp-Ydqy z-VC+H98sxwLc!rdnmOq`X3FCcrNB_Q;NuAH7r(#8Qljz_c=OjMs;GrM_~RGG?P@ve ztY~<5gl7?Nr(Ubb5&^8PItSaMTXn0bFPjl@SvcOxO)NFyE62uL>wh;XL=*_Ye^ zd#yFsobMRp8Q7w*LFhksxA+kSPuTqOSyJiZ-?M)<#nru{W%k_OhSUlBXz+HhN_^F0 zyGX&5RMVVZ*j{&V_k`!klYJ~5_Lb!eiXwduj%jAkl1L>dY+{O2>F>^o3EqdoX zd|=&Z8q{b|X3lABf=LPgnk>sW;@1K0?y!dO zGlfW&jC0q^d>CmuLTL3oGeaa;!P1#40C!pe4tU6DaE~tl{50Mi`aU|d51(QMvG3eq z8F4)T5hkMB&w>#sQQNNfc&-~hlXWd*mdUb5ix&MzBV^du85xzyOgPfx#=`K72=_g; z2K`aDMf}Z`D)e$%#ImG(M8_RnuXgR>XIIFo@;}3~=%4F$#cdmHXn0yW$Byhc1Ww)$ zELSTfc%{|)Ufw#nR6x`P7r;o5J()F-i+CF6qrP}{snkM^4wNbj?;I@Wg=+9rDJR>u z8nBpadLMtl2kDMs_+J75NqE#wmIOP3^oxZn3LRy3Ffmq>(Yb+-dVTj#hHp#lBe9e` z_k`gv_;YQ~Cw4A%SIbLImTdDypV6vzh8Z3UV(9Q(rj(f1=3Ilg zm_?}lq4_5$w5}$&Effo@FKwjOX%$GT)#z>9#0f$QiuF(B?iRPGt_j%}E7{)O?>+-9qd4t?$6SN={Cm zRAtTRB$$+d230geP&xiDq^Ph~=bF`U=8qE6TFh6h$eM2WeP_6zml?RyZsOgowq*wi z5fh(2GWgf%m#n-kd_jp>W7FDHN+UPdzPlj>*gN&Me6n?a1x>|^(E?V{9}I>>cSa57 zLY|$GYFhVi3*Iet-Xc4u_}z`Lg6-(jxs=KQKK$61yU0FJH+zI*+UzXWN6~V4{=DAP z@n0yq9yjuAPu!n9!G#!B1p8cVq8_4`e5>e@;TPB6NHe;>u(g|9LRo`ob)~2u<@j!2 z)d*{K7S8aO95?1Z4npvx_8tkDekd7GThh=iwRfuxc@SHF7p_Wyp5Qne^UlwwA$jh! z^T0$U;YJW}q+Q?{qg>5qFKxVr$zN)*GU}0s%G%1i@kaaUHQ#rRQvU1489sO?V}qWn zd@G_>8w!O@bO^7VML?*7D+oip$Vu@pGEiVf*xy?H>Jk>Cw=}$7sTnRGw6nF9@3ab5 zl&idvgv9egssM)uy>L1>MYc~w^#6=d<9-ICT`x2u6()|SO}}ILKjWCgaZwJ&#lPcA4oIm`Gw~Qpd-;QmZcO6#qcqAx}Qv!oH&?c@6{d*$46z zVE9{YJtdQU(3{Pen-CtDjZi7}O%+}2)qLlsRgwG&*&Rk0(U>tBbod4!-0Go*goy1y z557?2X9q9&p!(Je3I76r?JwUmp=5A?P#ILc%BRawDoDvvEz6oi$wP*psFW!_hSb~v z>X2T0DsEc$h-3-r@gi$zk<2~jp%R?> zL;D5P!6@o@?}fq$M^j)pFG&S;+;p67%YMRghj)e~+mBNakz9li9TK55;L*_v`urNM@Ac0UtjadqmgzXiL@N@^OCL zDrD1Li;c_8Q<>`o*m8hlTHHMYu?+SM_ZI+y!NcLXRt_xO`UZFR z`~KeN^=Dvvs_*X7UX(cvS(^Z!Dh9E^kI2-)|&F3+~N=6RBxX-|%{ za(cCXsM#ABCqxp%UOF4;YP4@na2pw399Ib+_HTVZe0Mb z2c5#@7C})wXph;}EBr(7$frh<2@S0e$p#6-306f}v-M&hJ{~SPbdvPlJFy{a)J#v_ ze4|g@S9)ggflF+b3}>kj7M{xrgH7rZcuxC%VzQ+?nxDWH*DeB5vid^&F!ODmQawei zaTl6_Rk}8Pu^a1Z%o=a0&aN4}#9H^SeIiw#*7!kA*O1y5KmTWw^VzwR9F0<#myO5sA9D5@zDL%?H{?d~7 z3)kU!{An(pS7eU1S$GLrV>ZMWwMSrxvPmeoX=XM$yg7ZR$gzFc8y{!hP;qnTJf;q8 zljVV908rzRgaMS{wXkpjLq#fVpxV>}2qTeFmc1H;k;KHaJ(u)JIx4m!t<;4>ox7z| z6_$|rF1!hzzs?9A+B);*CwlKi`0KlkH>`mZ`YtY@NP+k0PZhEH=B&hmM;O1uJ}hjd;V{-+h(e5Ow%Bv6Ix&iH-3p}86K5^ebm`~<-$FnF$t|8nF8LG)|B5J)| zLNXoh{Q}3mW1tX{Bw9q|N)&PjICLNkw+~Aufb)5v@Z$^3s-ug`SEq3;yY_p)pWamf z*tmZw?!&77y??|+UNCN3&nDteEXstOuv* zD}GL#dXTM;;kC`u zJ5a^Bbv)|~AAI~yF7zH`h>u3^*NWJgrjsZ`i#70+6<+z~ zA0Xsn-G+sB>%;?Siokuw7+v2`ic|Bu8Jeh0|EWyz&6AX~mLCtjtY?{cX}g{Ny(3H1 zw)b*;DviJ=yykNh)QaHurFWNJ4GWi22VI?oo4T!+i!u=>)lgAbOl*C9U7OxHIB(4*!jquGXB6$^ZOKXmPkAZ~|hn(qO!BbtKLpWwg``ZB25fe39#?Ta4rRr$H zIB6mAD4X)VzQFtOOE#C}fLg|8Jr1kA)k!zdtuPm@A4;B^k3+%N`%!`h=X4P%JM%ylB88Q#{-%r)RVHig~Xs|BL?9p8!c zT#J}|=;)STwcM&|5Xh>{F2o{?5}f&-Nz$BLq9&MFN=wqpT^{xJ`QgLyLQxFw4OQR` z&bh73_h6X-vmNavgNXgF-+`Pc|jP? z=JHEehcL<5PVTfKVrzXc2R+I~Z(mj_2V>1kn8ttAxg~HbV~CO2#5s1INhsB$2xsg)2nM&4J*yopBs6K>`v4-(EfH3 z?iWrZ4(Zt(2P%FI7WU}zdl{reFF0p-AJDAY3;%|awR%9}kIl=(nqE96D4s&&fHe;V zJ**E8K;F}Jyx!^ygEr`Q1_2+cpUu~bf77zR@4lP#B*WM)G$}C5wvT8|j%=@!x=$m& z$eM^!J8)_`Ep*!?I{fV*0TS>Xun)Sm%q>09Z3I#UuaKWGDifl;#c*;IlBdjY{U8c|dTak?qR$V& zZfzv~{G;ax>rxV{Gl;fybi{h%JwnUXE~aV}8rxBCLln@`1|tc$(&s{7i4$Qomg2I5yFBEkds?!Zr3LmP9P!OJr8$42l*c)nGA<^9(Y@;)N(*A@)`v$$ru1llf%l_yuYF(K6SeQN z_O@nRI3W|JvIz4)|%#;MDq_r-bC%H*Ha1y%4#)&!x^r@}71X_sv{E z=`}NbjSku*c`eAQf>QwS&0j8k_`6gzb0D($knoOCrT8M}8t^?=TRu-(7yky6!{U$k z9|W>LMZH>T9)&(QId^H5b?fw7SWm|>{2r#Bs?>#y9RfsZlG(z4LpEA4DEWnY%285T z>CnfW*neGy5Ns&@YouW1SIdS%VIilQ1geKerjjo93XT#^eO+!x0rX|!F&f0GrXpiip*f;rkzJlLI z*J%l+loG1KV9OkOGXhU0>n&QK$OGF$Ht0g}z|g|)+734gQzOyGttL@vQV|gkMO`Kk zSI;^BF3eli8l(W&=;u{FQpMO?O?Dg%+t`Xs196JFvuIfGbLJSP*^*$4BM64Y%aXQz zrE^?S>NU_Y@V=2|VN5{@0Bn6US5fTw?{-)bQW(C?b z;8JeZzfZYyv%YTa>?BVd?mF!CidewJGkjH@tz?OJs%yIoh0}#-Uas#bVq7(ozh#bi z^+qBUW<>Jf#pe?iHdhQQ&&TSPuU`vzu%>tcfYH5zBS@ukK-ojEe{d~yZ1@OjvbAkZ4aKM zus-Uol%?1}8aVI2^~b!m6DFUUkl+=DVnS-II8zGA1OA(b4Y?!GeY(`kj6HZ%eNEW5dQ?L%OF@}9@~vV3r4HBLLl5B zw_UE;U(F;qNoN)w$NR93VMI!#v-EoD_@vXX0|#O}o2t;1Tld4zsO&r4rGCz&HRvZy z$_)uaOgXj!s72`B|6J_N1?S%pjH@VigR#sQc_#()K37gfJgx|7j*llYTpcD?h~fvIvqW zx!S7osCXCiQ{iL)+2|Qn;NuCxYbjKC0(5Y;qalLvnK&8e?BN?u*)nW)AEA2cqiS;c zBlzK3P-TvqeHPsL;6Y;ffjA78uTrU$JR(qn>%~W{h@olgsXHep5BH{4#mKuFt+tOH z=80D4?If~m0VWwLyNml~St@R_$g2;0sXWwpK(LV`uQT}FNs1W-_J}HTkc!ZusAEzc ztT|c92;tAOCzdzPUt9{E`b+BimourqZ{+poRZgoE67|A0<5M8M#q4O!BPcPS9W>mt zKKRSL1;Uju3yWf9|`vGFfD%|3G*`WgHthq)^u?&7sM@7!zYVMDX~iv=NJ@-YNE9$=T`h$Ij8{~d-LAqPTeer&}Yn*;oBnL$Bhed-m^W`%sM zI57S&92Bzp^h|pRIohta=;;N3f#%lzz0g)U-S)g8cMS&7e(he&kvs`xhY(68hHu&NLD8E4lqg zzVOuXeRU5FbMWX9Fs3fNLucDDEfSYt=#bGh6OT?=XkkYca^9&QNVxFYqJ5oyq{{rx zb_gd+1UEcHB}x6ewEsppw(;h_tBy*lAMmUuh!P>!oOO77gNJ|-`Q^V2NA;s?u0;7) zvakfYN|L;&MN)TK#UlnWzW}`2{JlzsyQr_HXK@j~n(W_yEH~@B%VDarRKOkcr{4+| zQ_`icD8I%a%wGu=DE$4Q_ARbRop$TD025QZU`&GNIhx1{1yw{-?KA1)XVWJB>=pBd z*7o*LNWK|jh%lTkDglF8nw0fEEMgl*GImz~gPi-e;x26Nf`}n`*TC``9S;AZc0*$X zlq~#IMH%k#%~RDEYX0eD{Wq^>N`&RUdu3?dxBDeid($yc>d5cOz^ZlmE#rsEuBxC! zF!teLAKi?w-n$`WxJddVI+nXY(9=}rCafDzPfvktpYWz8b|sJ^cC`qs03h8ECUGBj z==u1s(G)F%9wUoZt=IP_bC_rBvDLYk(pG>&H3$!hR)^vV?S+&uV&Z+vB8?*yg2S6^OGX{1h&6 z%xfUajGa^yL*7-yVg!>-UB<-WyM1ShK(AW<{h1$5y*BIn{K8s|!)$?tbR9)-R-a#K zA5z6{a8apzZcJNc@>ISm7qoq%@&1`ASrF{bJm_A51kIaikNL2!&O*_uCy?9d#-0jz$-)dH~mONl?_NM;aydjtj zt~ul6h13>tT87u#*LP(ctKe2~A=~v>r6b77p5uQ(NmG?C7}62;YYhe9UF*!UU&%>l z^+wN(^K4G7@l4iTPRl)>$QS?FE@6eBfrU$*>wsRMBpK#LxAaN(%gm};a=q~9RFpQB zGe6Z*lEe^?p`8ORs33I|v#c9>vvpn<&rj{_z^xEXUYX*ZitKSF(bC4BjHw^&+e!RA ztwwkd@!&s&aaiARX&!6?#CNY|!9ZI1sbBR9Vr6t*FH$;`dIwNHi1UYHSbJTN1I+nc z?`69(ZXe8z%#P1+9t#X*&!{lH{$?|tg4p`Fd8kI_81@{@1bWl}h$$j3U}rKxdc72B zo=Wn9UKyB<_d_p4Svu4lv3>LdtCyrS41{o=Jm04`(iSM*GA0vah22TLQQfV!(MgQ# zCZ4JueOqSR=YkNH?R6=+m2oSI>sPU*+nnm9Qq6B!Nn3h5OKS$n*2zBZ^-|?%&qm{I zN~vF6tLfBwQF~2%;{cziauTE3CeQphM)qFX1wJ^vNyXRLVUPSrm8Guwu!!X=sX3pp zGPS&{0S?;&zg93QpZIkRBDy)nL;3*yIBE%8tT=|{sExojmv6}{A|b(v`(xxhnFiR~ zx1zSF|M>U(_V4m|r~_Dt#a}cfH|_V2J+yP*?pTI+n$@gY30UnAU%w8?SR$ErScU2Fv#bg)>3a(frbc8BoIvqmhs&`J>~EOZ(v!6?^->ZR)iUeu-R2)xVKk? zhlI?^~XI|Y@Iuy8kT9YobhYW4%vL%?+->PN5pO2Tp zNOY-`fLj9we)|XxkA~#a$&g4=8P!?a^lC#WOtX5|VE#4a_AOYz%BP0pk03e$`rJyd@4@I3cD zG|Gw1MY%Ij+F%p$s+TU>58j8#lRv+^tG&HnsIM{d{0dX_enDL_s&MxX1F9MCp&p~1 zr-L_@c#KEINO@6wOqxMQPQP85kVQ&r?Ix5_J**&>egQ6-!!K^F_34LDKu<5iO3mJpqkE+<%EdiNL>Fk6 z;8T!sYtO0ZjZF1xLLeUGiunsrCIW6um`h*53=19J-6L?-m81gLmptkKf)B%S z;@7Q+5?^T#!8BA#%u-5Y^eCC-gkUAJuoA6-hy~jQGSLSXR%}e>z;}L=I-Qv21{WsU z#`U`88-shlQE|yK%=uAkQ*Q!1;q z5p~F|U&TgLUt6|a_jC$(3Pi~DuWZ5kQ{t(nw7n zxI@<45tC!EW9s}CPmOF%Q7ABVx45V?#}_-a12C_}9RBY$Mo>f_LL_*HbEiRK{H647 ze+`iXQ!MthXW(!+!SmHP=e9_n2s3?YRHXniibBh_|H-H*m`V)KKZBPnzc!;;N$L|+gzvc;NPx9frHn?^b-tVj}cMAN@C-^(>OSJ%GWXZ>!0EVPm&pr?Ow zrh!>j4u5i8gpIXJ@KE^k4$Iz;K%8@#YQoAcNUXl*$@xsaW53p{7s}(re;3M{UFno-Ln@pE3YB~;i@jc0Sa1{&5fv>S%j1z$jJD^x;Ml*w zm~C!u_VV@h1><{_)>ln}ho(=JS%qaP$6;(y#k5a(xu5r+s@%1}6ae_ngNufqpM&bW z;cX$Tc$r}S2wtQgUjF`8Sz{NP{~-ax6*k3>f%$9b(^AP7?rxDiDy>`^<`KH@S{zxgX)JY*UOY;bH$qTd_gY+BFIu8CJ>PF)CFjcZ* zV&dM%i#41*Pf!xs5oyvQ3y42ng zi5;n&8P$wnRU12*YMcd74>>pEQLr@FCUr&2<8R=9W&J(|M;2#i#(x1wQK-aEO%I=D zJV*nyrqkSK(G{(u9(9BeJZET5)n!S=@ekxiYO5q7EDax7KZWHoJi~jA(O6-9!Md+h zumD~iO*shNF&>Tb#|X@@?>FX$f-=QDIFOB`7DEm&{Z#)*iI0W^377?MFH=InMkp!^ z3KM(TCB;yGOe_pogW{e$?Rxrk+GE0lU8Dax%ojD$wY`Wn)X&1~~RM{>vU|>uY|)6z+x1Qj6cXU#9LUl4asbW_4XXL@@Nx9}k&^ zd1ydES8Ya`p8J#>tM{EWW?VSc1NX66xl7zsZEMaz&d|Oy0iUCJ_zi-2eUX9agPI(o=EyHqHG3FGQWB z)%XuhL7}xPivM;^Ft(58rOXBHE^iZerLwsZo#rd}J2)c4gq8M$^TkPTyIO>NPWrOy zJJzZIWG^UrOW_!82;pt_)*O14%`W#63}t18QWDt zht#hT+incf>P^WitKi3%c@+<-N(X`i8}`M{0QS-y=65*ak#sD4)9f+H1CHVW1QT4GDyEzxS8^QQg<=kTbgXU z%i(1`M!?9a1?@FEJB3aLudkW7dtb2A!1d}ujyyQ@AR!XZ#0E80>(55F;A z`Wi0<9^qh)sFYPVNT$*Yp}QZQP@z;;D;^P;~EQ-o;aWeGE zBm?}mOw$5MDlcQ@t0KhN3zR!UZ(=T}7=Mg1qg{l`k@ox{1O+$djZR^f>o3mx7C*2XA)J?@}RocJx&Hb>F$Iz>4w2u z4JeJQGytp#>=j$2M*(eYfYMG=W5!>tgwxEu8}{y~HzBna=hd`PwPX^>O$hB!7;Gg@^kaJKJO!76R%Fbgd>6j}B{#!obvUx-PjC>dU*}jh3G*0jJ7j_l#Ay#t28f=9nBxg@KA_ zKaM(3r54YjE0irae_i76h!)Mf09!{XRl!=0pKh(M{}F~$2MjtqghNDI%ZyV|ZU*)wtu{~+i7=@w zD9c-50pW+|nIHW(haYvTt2^=qe23edR+6<3)_pDfy?};i{6f_uRyfUN9DG}{*wV80M zv$fe2&h{PqBJ9_AwWGwUAP`yAB8F^1b^G=-{HWRcaFr=08w`~OtUm972_4}F5`iW;9@kvny&~! zRi}>y6*Ev>GWOzl)b%eZu5Ui{Ghz>$8#%ko1uNyvBz{!Is_TZfx1*mXX-?(-ifP0& zK}X`c`28bvK1SkA5e_~H&5SF=Yph(fpP{3OL1i!O*o#4_GOSp(FWMG2l&$+YCZWIb z>UdFmAj;{;$R%6ENL1-+MSLy}>&Wqo5K@`%Wh+|ci!DVTiu zcBQus^h>dpjIAuyiSSH4+@V0Q&_>*!lawte)J3bo}hIi>ks3SgHd;} z77Nv}`P~N6ecXQ-`v!4Q{%J8YuSHW9FsV=lYj$c!KF(K7N_b4g;q3m^DP%MlO)Ngf z>z4Kbdw4$ma*oAtBZ1A&n~yb{|LU(m^7?@|6?0I+s_|kpAoPifTZYGj`qVYq7A_* zP!Sv1e1j(UlT7~Pw>R&5|I3H469HW)g-ThP-`+eu6G+^P^iF^jG{ZIDYZX71Gnc7;B8btenAkGQuEUeU?eo6<3FnqI>P? zC#^j_#BJ97d5fob6XShNZ=XY+8S1UVL8J}AGAn0?9k&r_$ zZU1ieAnZCa#Kp&=lL4A)Xk^5mu4Mb6LfW`SXQCrCVBu(65*4*MuZx+)wMVSx?pldb z{+kK^^=s~Q?KVSv!A}aHlFdOp&mnYbcZ@76JB^m5_E+6W=2PGy!`+lHD3+&wY`o3! zG}DSv3$w5PcAGz0*?2hAS)6K$;fD7hU!yc~yp$r;lLc_#<^?Og9@hl3SlWSRBx#2> zm*EbG`C`9k3;cT5N~cjYKS$O<9Nh`L3ldAlcBoq7G<%J!mmK`sqgMK=UpD;D-DG-x zcm2cT0#iiB%H?H4+jPWI1%s@Q8*_x6;N(xIRDT&~xCx@}*sW(6#`yHXZ(QK)MxC$& zZ%2<57oWz;#cwT}U*Z5huRlw3`2c8u`{51fg#nI(_jB!IC+}rY=OIe)UW!(tvWwo> zO$b^QkLz2Kg;*Im2Q6g6njStZ>;_A1C8yS>^LUnlHinGj--yW7Zwqk9pxol z;No*5IBCH7GlPYI^f^bhjJX8V#id*AwH$9K3y3ide0ftBYQbA~quR(L<{YaV_61eW znf6*`?w_jQ9U^}Pf-Uw&6G{uD_dd9gk~&K%WhQv4DwWY}^6=IlV4}c;fo7y@@X){W z(1N<$EdHe-+G4AYe}*OS4r44PNA8?xz_Z`}n#42Wr9cNOMtQGNCamgvDg9oc4@NOv*L`Z%+>PpI#CGF@xbQ7QU+L4Lo6to6g3p8+T2SnV+` zwAL%)RMImhD&ICr$`>c-iz2s)A>$-F=9+Q5E?ixm&#P#6SsPt7{f?4PAws;qtAnx( z+^Ls&E5_>$z4l9uuY4>VcSp#WJ=G2GIBIXVI)AjtMH<#)mt#Rp;H-|l z%!FI$LWUSJWrQm({HWj8w4xsxu<_}*=;)bMNq%MEhIxDEya?7Yt{(>TuJ@ma=Vkx; zdU^3vCT@3Oh^_dDTBoiOnFKT#a%=|vUU%`kchP-?r#xQaaU6jq6HorMPu(Sauu5I(j^9y^fQ%h!zumMi#@p;^idBYV<{MbJ0B zLw+#RL-1aK_UQ##Fbe_StGP<*ipP|+)AztwYqa_P*hdr?^XEwswqv)y_r7h!C{~cJ zo3L2d5^hK9oI9?<`)H-In<||RN07S5M^Eo9sz8Y?9hskc1-hUved6kT zQUsoLqXn`*Hnv^wR;N>qG`rcA{Bn9_j$b1M8MSq_U-DJ#ad}eGsyi4COEmfvdUVSL zTvR(uoP7TB-qxsyUZb`)?5@<7(I0hc{x?Cd=Bp?q+tq-(Dix15XqrR~W~FqhXZ1$%pU8EaN*=Hwx`rSbulszz{+H28zj zKMU6)e=%O9k-rc*K)$s?GFSe`=9hI1{xf9mR`mE7-<;*BmuFH@NLfPvlv0aNC%~jW zv~iT&^>}N1X7V;Q=v{+=_*XE1GUQ0h$++LD)nSECxnR}53IXMcGq#>?ZUvSy>|6X$ zh6WUnI;*4RSc^NVez2lA92t11DwS2s_v} z+-$^KV}GrhIIhW#x(ArDJT_KV3KZf#BbdV3_Bf+%eJ#)sTZ{Q^I@x3d_id%?TeKN| z5|kjKF6LJ-fC+c%$k(^_Qa!!3PcZanO1nvZb5 z-tqp0iFOk?T9}U4)FRyCjVm_B+h9uzcb(+uue3qUk`?h+Mr=WtNocy&{K!jI< zgKB?glH430a7ZiDWyuN~H6rg@LYElZXxo)*|>3f*-BMwXN!>U*e}wvwK5r5j7cso*yUZYJ!U^0@E-+HA2;q-p>$w$K@Z}C?#IQLbPyv}unXkQ@Dwg!FbZ2hsbY=-+#nObOk z4`cR4?e6<>hDvo~+s%+V--4BEQyUqJsWYDfr7zW;5jVl#fEakeDmR7`$3uoE?!KxL zwQ1B8)UaP(9W;?0h-K3c{7Dz>O=K`z>`u!6eKD>B;GKfaF-n)>@;fj1W5Mc$autnE zDD2|v8ma+)I9A{Z9vVW>;)zis$R0o<9RZ})Vk*lKS52{+6<5aH!TE-W3IKjcOwi#` zf`^hasIK=AnttJ+7bw8nH-}b)ntxhHJ_@LJ8w*HET^u%h{dwmYWFk^G6=XkM6*5?Z zGr_f*b(doY3ik!$@)}!#V}Swge(zek;*gcm>oKHdA&4qyCjUZf*+ct`0^j^SVP=Pc|M+J^zeTvbdwH|w&h2W$;gZ(n4MQ~Bt?pl)cuF{bC!=2<_7tG=rDopLX;aHh3z1kc^4=#pvL#ZTvNK$@{vkCKboyZ`RD+ zW5VK_J|b4CYIIc~-1OHi{WtnJ~xm_Wpzlu`JrY;AfiSfY;#!9Y-!uKAb8@o(?wa45`$Ax`o@&_wWz zYp-Fj4Rmoylzvq{1IDsneiiDB6{E{V%TYp?rJzXT#JI3#<8+ ztrvo6`>g@dHPfGx`0dD*RlhEVUP*Zb8;gGiI>4?1+7xpM2fYT1T$Z*p z7q9iEz35+wGMR8HS4V7WugNg3ikc;OElwZXE}`j1J>LXT(TdnLwC{CF9To6TcLH8A zvaT24X(-z1KAc%^I)2wHG(F5(Me+PAke=rL1t4&J)rp$wy(Vf4<=ji`TXor0r+mTP zZexSgDKg7%%q#lZg2{s`ds0Z%>!IYTV+o5r+N&^EJPLIT-cR5_;Nlo~*=XYJSclxm zDk8JHCNKhhu$M^>$YmWk9H&U2zs(yY<=BnLZ=(fmK7ITo~Ue zB>>@s%>)}bu!TIE={WC>WzYWptE37}erM*f!^KzARa<^>jYj47S8K6j!VH0=Vq+!U z$&y1;zr3aFvEBk^zr#~?m&NZHk`>yJQO#0p)fQuuc>*-Hj@(o(1iZCuL#vc_0m(}A zBP(4Qhf^~I6sge=%w%t^cLFvyZP76bB$-9W(c;@_V}0d&)3Sv2LvZ$ZYzqc+fAl0p zvfI~hYE*bYxu7!}#KlhOOiDu$5VAntQXD`#0U1HmDy2gkd$qf{yQXKm^dn-HsVNm# zv*(b&8xLUK-p7~rlC$?(cp*sVK63saX&cMI%ZMPknvMOT)eajF}HxU;?^>ife_a(G1wgv3^!I9hI$QKfy)ss&*Hy9 zvr&N~miuN}bYDTBA(bb4G9Ulf=Tux;j#g@XVg*=XeW;?WN)r0lbv}_3eH+qVYROb% zkD<^rc26a9N29SAen9E~Y!d+40AojCA))(itPicmbuN&)4+VFvy_d90K`Di5r$vW5zu3Z~V<%0xI72+}nD3 z@{09{CuRF4PipMPC|U|dere3U(&X){n_@|GW^X$-;WRROX2>)Fo=TYTF>{7Gh33N% zTisg?bC>3%UaRenlB!>rj2yRZ{ZSh?P05K^aoz9rSjS@>{@&K?6cS|6nZD3JiK>jQ4a?u>!SdE#aZthFe-x^MPl)1;P-DX=L zU>K~sDgr>l{|5oZ|C}^piQnflEDN5luB3`Am5#iNrfndjf|N)}->8JQbgLkAe_@nO|}`kC@z~=buzj0sT8G^`Tv$SILN$= z1uPeAP)1d}7!j2UEUp6oksi)WoE#h|crdQBMWX#uKdmUha7b{prDpyzm|V zVk=KHQVTwOd(U~7o1T1u@OQuQUpf9cdO_r?a2_i3mIK@XA;*QkzP#UPo-eykx<2N{3;6L9t zf7~bxnrTO6p@;N3+iPiO!5}IG`lsIYa+-WT$Kft*!V_alSE3EXM45$suAZEuCL29g z`-x|{f8_gVoGNkH$H&1z>F=Lrdu?nl!)RDWA-DouyBQxlj|0iZrsiUe+ zhKy2nM$Ix`c~Lrmx!cL`@EB7|c8=8UU@o5z*Y*7Rf=ANyQA6YjkY+)Bn0L^xe^#V& zalIOy-{+gUN%b*aKM}4%{&hjp-7#sFbE<*^@&1t4%e_e(-l-0~WoHDsG`8U=90&tsz8lwe!dk zm0nUzgoPOj;~Chmir{ByR87_*BQ*uzgWw9inMyojH6wwesOYJs!Z^4ofxI~VQ}q6i zq-$WTt83P=ZQHgQyRmJnv28nP>;{c(+eu^FXl(WF_q*pGoW0kc^~}rz-K|r-ev+9~ zG&Or}4#2X4OTua~v@U%KKGFwW3Wu$yz8nNai>c!Gc<10(%s{ZG~5^vs|EzX$MHAf4*fft3*s&upf@M2mJd2LiyrY zDwk~diG+NfE`j}a$DJOxXVTmfK5Xiugv{T>4ne&>gXOyP#zR7J>x5C$8q7m_&KHny zP@F1r_l2nyE@|^nnvNK~K{VRP^O%Y8uxWJ=B(*5w^Ae3m`k)nrlQ9UMHL+bD!w$hW z@9QyZHx3co5;SCt*mgluKKk~^cp>$sKS>AlBC*JLemzT_dL1Suipwep36^-wIChw1 z6|D26KNy)%^=EAy`0nT+!-ys$>}1b^b%Xhz?V0Xjx#~Fx%C-tpKBT z2jCYR8b?+LeG?SC`fHhDcv-q`90^^$A>N?q&*TZ@rfT)rNwUq*+?O4sc_k?Q%>uR3;pG^qA7eKaV+A zl+s{~hKFCsj)F!i!SZu+m(+x`BBGKC?KL5C--;qGvL}WvzAG20=g=zJFVrzThgj~; zDBMG4YEtSkQ@GO%dFGcyV@XM2MYv?W1msOwEs zfr^VFJL~HJiT<}e5N+GW>520>*zpK>{vGD*ofWsaq8n_f5%0QLKVJRnPOWa8&@F8p z)C@8>nyR`OLtRz9FrD;FDdUk-T5C2KQ5H&iLoiRlIlJtHGB|;v7}WS!6&_pXL17noH!qLdng(yf4t4)cLfr9m*WsJz){(3LEFZica zOKQo8+N7<78flf#UHx5v&^(`hT1S}Z{;2myJ&evgZfR)&UcP#+nAtRF*HJVX`(~dEVh)*5F~V|u6D&N-j+s;YQaq0ckL>{1}Q^OvE#%=f=U7VfUD5Z8D^o*C3> z>euACw8KP)g7bcA*fv{Pj#v-Hi{BJ()dh&HR`I}LGvYCK%^THqs?a5z<3^K6#g9QYwehLe zs@fwx1x7TQwI&EoFmXuOM!%hmzqIziOX7XSSNgBS9{u@1@l8RZHKtwHLyQLKh%EA0 z>;FGbu@PX8L99TP0!;mZxGL+Gnjg=AAy;*2qI(zhfHg%xJcEfH=)GofU*b{iP zTlC7UJ_{eGSY205CYFz;e<`|sTl1j6I3COFj{bLjeGSa7ca7}?J{w42t#qiFAiYQE z0Zw0NAJA%KtO5394tv9g6KZeCnK{@luS(C5?(P2twy^$(J_21pT}7Ue35BYDjP*aJ zwHn;C2tM|6#x^$`!;xn9sORtWZC+e(>SB3*W-;#!8HV5Lrn~i&(t=l9)J0Wl9A}&c z*WP6Hyzu}0UQ{+vI78%tuY~?jv8F(ISc=8<)YsNrX}59Ep31|rLJEybn!Dst&Z~DWRlBPau9rP93a>aU+aXy4t9Pt zu8bzsQYZ(6E)aIe`0@J*WZ<2g-mdsJV8cuw2D|P2W1*3JjA)_1k64_;{U>gxQS;%Qm@C6wq<C-A2F0oZjF~dTeq6L*HibQ#wk89e%Gp>q;dnYu534>KUAk>%}UC&M?l|QuSK%r zh$g~%BS}livf~OZs@$#u_Z9$TaD9D!`3fr10{exsRG``cn5U*O-4EcS|2bmMw$#f1 zPv#2r9zerj0ma-5_;8n51B%~pK4hQ|jYi(d!_sP!pFIWlu1XDq8~8~C7go85S>{$| z6JOoa7^N0=t2ONL1c%H~n$(QQ?~UVi?NQqcvl>PF%A3JrhkmI;A>86=n(w+~O36%U zJiVDNxD@DC0`|4&&VF_ArGuSdK7Oh+81mSUlSnjYgp;9Cvpww4h2RS!yEP%-IkFbE z7v^7u{9&;0-?(Jyhld9?Hb9E#sZ5xttyuEw0hK!CUgr8M%Ur+t(D5~ngb5FAS3{8r zYT!0opgZ;6)7&hfJwUNAW5p4ysGKarZ7l|GIA_LCejzy1zUZQ;fj7qQK!@LNJ8c+h-XypkHrN+)u2-z++}HgPDx+jP$74Y#cU>V`TbqRT zYc7&V)e4SYLm1672+SpJPR}9~9{et~Tc~QV=EdRd%cq{UFshX5AtL zu*$?+g5{7b%m(7(h2&MwskMhac*dM?>l}64_CDp~kJLvS%K%rpwdtoyO-&8(2i9AD z{1=-zZP94(1Ycnoj=Wy!^tV~cnHh{u-yI0rX{oaU#n(yy(QzD5!Wv!G&TJHt(I9EK zh$UGfVfN?W@Nn31j2eVI5K7g2SmNs?4=?<#Uh|os{_A9O91@BWU03*&6COXW{5tfJ zS)V;-UZEr==zT@O74%UP(_#uXug1kM*k+_CJ-ap&|43nAQ+7CVj|KyLp3y}x_YrvI+6jklIlTCec;*>*elbp&u6&45d- zYQR$7Aavg}2S`RPU;2NNLgsn%nZ3PsxPdkk`F0CFPE)*EE;>wi7*!Q3q=TVrYQD%9 z)X=MjYAX-OozM#q{@{+u=eu{Lkl6$Ki?G8u5R+lm^HYH6jJr~{} zAc|JExeDY3wdrCl{r2PBD=oV`44Y=Rzb>$dDhrQ*$pTg&cb7GhccSG-FW`v_j0fEC zy$uhSEDZQv-sG9@_vOZc6v!DtWMt&&%ZG=>3UXy)=?k*c?SBi+GFjX`KPvD8HxIRN zJ!cQ_&Qu){(_{DFC=6_K0tM z$Q@ki>3_QFW*tI8LZ_Tq8c$grRC_cJZ^a08lH#$UHzPLn2_s0OeHsDCmOToa$~eu( z-vi}rD0}`Z?{SFK z?%f7J1nhbwF_PpKSZn>+@5Qa2rrGSLm}Xn7mS<2(WR35J-OtrA%WKF?Ham5Am}CnW z>|8cAdD|N3i}IiJbz#~NZQf^o_m}SyW)Eeaz`gG zYy}^d{tz!~-X|IaHeP^fA+nfBkfwU|qoO``a}GO&sl*+zZA5_WVgTDKcbuuKL*ne*lH2Rr^KYhXZL-3vo=8;@RQH_^77dop~ z3h*w#Vqx8@H4n0gYF-~VcK)mDH9+=CacZ7WK#xJ~o@%9Z+2bY~f86657j<_@D!@8Y ziC!*6#L0}9pmQZ|L-B#!{7h@jBA}z&3`KOx?XF?*5PuGz_5!5W{8SJg3xRqv`b4qV9421R7z94&?Po(P_QWi zIA&Ig)DN2L6O8s`i+%?#ydz+fC%qMUL&ml~I z_uja-Asw2la5NUG->)cA_i%^9M$^|vy0X#NLuB(`4lgkJwjj|R7Yj}Zgf^h^@E z&*Bk^r7nzA^o9wr zqQ3#Fct10@wO?o6F)*hzbZQ2tB)26(v2|9rCBa#acmxs*9@;3-refQHRkcBF)SBwb zeZ=%z)spel#KHM+~ig3*5w*^k*Mhzj!qNF;*y_XB;pV4K= ziuN6<9amMHfoHmV@kq`K4Td{^Z6j#@JK(?f9)NHY0NP$(T>)27utbO-0UA4-L5Mq< z4hYThf01d3^@W~!o&p~!fHpIege&j?pSb&2da(-spWM%kuQcvqnN`kB<=IdjVsx6C zFT)`kz0HfPZKWc^(w7NNTl&D0Rci& zFgwGZ9J0Ue*18q?WHeLp0ZPx9ymblGUcin_l94-+tHZbiCmk*7x`=;CI;J$!phQZ+Lj zzBmqiPN<5X3l>1V2F=#j*GG&HJN?qE#2f`lAUVt^I&n(okkZpdB>L@_zYVd z&?FGRpauG;NH-^rx)K)616etDVHUVBouvY_)fyLs+=XHZerZneb`g_4y$I(&As>ep z{I%p<=-SnBv*h8dnbm50`83dtV6!zeBhc_Y`rcsTdBp-Q zsVo-&kGa?TaRRJ$+RxS>`5N2Xq%G5V-)q12Besftg4g|*=sZ55G3hSk_UXqXRj|Af z;lW`xw?h?H%^dG^Ttw@)6xe<*3HCtW0UxZ^oYh|&5@IIJMB3iy6x|2XMD`&{HF9Ln zS(r&YPFN5XFwR8xz~%*L2bCYXIV{;sB&SR1rWa)mv zw?=zt*Cr|-v1Km=SqWfB4g&cww3o?3gGy$OXqBTmT{7(9^$PV04) z;rgq!_;0ccFA;Ap+i`q+`_Ua54!tZDsFjILdBcZ)`E|jyasm4uG>HxPHn8Wrqsde> zu8`=Kr09SwR+c4vt?IE@*r!|-@6Wep?3cSES)q9uJN*yBQ6~cSitvITL?6szTV2@g zWe;OA@m30ntYlAFKUzpmlteKiqEhvVDD4~7B7`B~AF?MK(E3)wKA08eg06*@+|%*n zR<9?;&NI&JeKz0Dc9ZxCe%Xa#cYEEByk=)ZY;&!A5ngQa1D~(I=(?7D*^@fb*+Cg} zECSMkK%CBsYmLF1#mFkocPhTL!=sK+y6kE+w`DN4XOey2ii9ikP*h$kSEQf4{q;WJ zTlbLReJvtP^!3v-9oVx14-Ho1U3?~Pb^%Q8k>ZF>gDNsz*gIA=lmerWw^oM*D)$)o za8O#r>>sdQ6DfGS2Wac#n~D}n^P{!$Rh_eS+#vp!PMf4S5DQWKQsXOP zPF3I!Br0=6f&}7($~|0e-;T|z%43#sP@#nM)6sS?)6YyyX{dFC`#5TKCq&kMT0E~~ zWsmOSYlH?B_8BAa}>I}wkb!j%(2MRh-i|OYXMgCpHH*UU3*B_hs;3%?x<|KZLZ)Zi9VNIahz7i$=MbfN9M5u+=fs5A8wAa8#54p1O#5q*C4sZHi@wL8h-EGOrpw5ST|HzJ`z&^}^GQwq}_yqM%?7160-8xBE4 zS4x-#Y@IOK6k24 z(?_BZsz{cJM{6g0lXM7oWSl8;QqKKH>uDp8=KWngFTB|W~5LOR=p^bu_4ce!w5Eav#{fm;S; z$u>0E8sg(4=gLn@kTYjB4YRDaX|j?)WipcX@2Bwea0Glf=AA+jN&F#mDGsgLl zaps^^_C@Ugw=`qY1QVkrp2!0wa!;N0*+e}Y)SdVHKH>7}4k?and}FG#Mh&aG7B(1f zjT4aN^-GfSO*Ms)!>uZVM1`_obd8J+-X(ElR5WzIinDmraAY;8<~Mkr>>f=hqgmy3 z_fzkT!N2rUWSZmPD*wC!b$e+_X-5~`Q<3r6Mn&~+#c&F?|*g$ zw@qB{(h32)dceuWP;58NF|%t_c(boO6jQF+tf$&#i8?h&cI{?7qJ0u$3m+V}ctB!Yabl)|a`0r_u*JLEC7 zPUCuGD&VpJKg}35&{od8kl1vrNYk4zfD1Z$JPvffs|=Z!8|9X{5kZU+volN|YFnO5 z$g#1O9T)jM>FLCIEcx56S9vt~U47{O&%5a(jkN3fV%j1ojr|4I#_i!kwMD4AsFOwQw)JSY(lPxe2MkW)hDSW3eW zLxrGII+UzfXw`K{NLH~2;}=BrO;nLxbzfbIDYLnQz@sk*p>f9v9~=~u@;1C{>FL-_ zl->Y`l}{Y?3Cf0=y)1;~m!Gyg9_~D82n4yD{Lc834^`XLHaB25Ot#2W!_Zp~T@dh${wRar)DMrsIyK-kM!FhONxdmER& z*gj2?-jl_Rjyau&PtZ?oWmJ}T&pv&KF3TkNXCCXkcxX6f{EPlj=MlC1w~EHaU`6@* zfv{g;n;^7wJ)7%a7RsCCuM^dfnbL8rKDB&AUL@)cOe_OfPdK|B^xN$*di=5RO~13C z5wA_Ncx*p53Fh@oqP(=6m6nx78S)oG=-Q`I9h4hlk)aruED<E*YeSMfpe8QP+dnS-xqCy$tBfd}hoKoH32;doqBS}+CNsGlzf2?Z)b);LLRa_s&~ z@z7w8G(o(Pe+-bMA}>KvH1!EQbF`gqG4TVgx8=K92P(8WZdhqo1qQMQ#nmCp(zv=j zZwJ6Zk~BomKAXiw;KOc-F6I&-br79uy}f8k{xq+6P|IS3h)mbR=D@^d@<;g#_(|>= z81(wnuaF`tFQJs>?ySIv;$Em$ghmwefstaCkzhf0Ip$y-A``4#XM>J7Ti`+ElQ%ei zW+93^b0cNgVB8e)L7=+Qez-U^dD!^K>SfC75|` zy1!z?$Y9hQv!piKnuD}w*U6e&!kb!@#(0M+C?7~iT>K(9cD6!Wv2PlpreueMW%Oa> zAsLGdJ*XRFz)?0NK(WA{7HPyo=5=b!P5M4U8_zK>hIzL5846VGC~(7-R)boBJLoLK zqFl$kyfgV!1n6Gf(SB@{LnW}lu?*z7PJv69h3Ep9V?t{BnObu2i-4LN?Z3y|qU>F+ zOaI&_1*2D9^FjB28&khl`~KH=8Up zn*pN?Cf@z;HH`E#kVt_Qy!BPlj@IZj5ts2DCPu>W2~Tv$%>E{yj8CWm?74yz-0`qX zuUQ}tE;7x9GXw};ru@mPP;9O$7^}lt4)(_i<1qKqBfJtTCXFtmYHcSU#ttC94J`Sy z^}UQIzK)In04qw!Ut>y%TT;N|e#@=)eO%H61RhspM_Rf$)7+`|0w1-L0MkcqOz=)A z99l&A87}K!++>!R<&Hqnfucl@^-k;v=ljQ+)4~4!zy#^CfA0_=0#{T}*zWP0Jo3r( zhe*W!0zf!<(w|OiH_^+z+VokTc0DFVMa4C9N^cgSm!1E1l7PXVxQXC^p-RJLB2|6W zoxG>kLLkYriE+?@z;ik@K^Qlsd`cqqNFsEoi-;`OJa3!972fE_O9;f#J@2Q}l}V(F z_>5W$xYKL7Ms}4Xc%F%snk2LVs6#y~cyutPA;Ul@8etp>nPJ`O0(ie~rLy!f$GPG% zZVnZgZXC6IJ4p&~s|U*!Z~CE8Cp*>lOO!O$yPvWB!w^85t$LT~&cRU|*KBiCBwV^} zEN@}+Fd@$&r*dI0T>)c$iK2w9y+e;qKhe zmcFEC*O7n#HcnGvDF~4%) zW1nn_XSlF&SpYtU4q+R*s>~NC7Ob{6*~&8W=lT_$VpwUXmdu5Fp6ONm-Q7g04b+K3 zicbWldVoEfDXQt;F~(%-IEHv+#z^yM7b^NyZ`$2i8|xE@<92`l=M*UU8xr6uq=CKx z@Rc}NuzvIWMnzkfkz=1A9z})rSCpObVUl{@B}v(k9f`0oF^6riBp3y-o^Pi$&Lyn~Dp?*=Vulag8)3D~xI=z+6^@tsYVId_N6HLT~S{z4UdCH0>!i(Lz?>CVV5yY>L z?&uNoo->NDHL-hKi8t>0dPSlATLhHc@T=jy~RUZk&X& zUEgPbC8=rcD~GHD{@vs-sPYb~b7Rk3YOgy9yK|+Ho&JC>l)8BRTr5+M*=ESy%+Vhg zh2GoOrLApMt}6VUEnJo;TVGP*Llr6?nvpDoUtA{|OfnqFb=3Axn-OT4Rzu5TaXLoRKk>lude50=8Ovd0>S#!`g7cuKDPt)8 zKV(=!3ty)F#EOB_LOtl?Yhm)|6IRsT(U7657jjn!xIv_Lh=<(!TGPYOQSvEWu^@;c zuhbqX@Yr@;|48gLi4HB8$&Bx^^EAvj*cdd(Qmol>^rN>ZGm|K?Xxg<0hH|#OJ4%X5 zuXz5n3zu&Ta!dz=^QmYSeN-REdG1Q=j`8g)+VfMR=GlnsdM}NtAqF?b)juz)l{+DcSmkYGekR)wH5qH z5`R39Xy2_)*)3SFg@?VqI8L$h?}!-KlWtimkcvj?r+r7s_Z9*TP}l2cs0I=Y@y69o z5z!u#Y&ywOO!Jn4^>$Li5T}b`jQl`I2Q*fZJV+y4q?NuEAy(gD{TuqtHos(4Rpr7f zS+q4F3CJ>IjUWLZ0u>m?K}<}{ zScQ1Cbudf(Gml9=SETcr9QeEZSA&1}0r}Kat>fKqgf`D=LG|@}@21$vWB^P zatdgye2hbX5Ntq6%D{5dd6M?v?1zr4lzALMc0FqSl5KKWJL9+x)l_wXl7Lo5f3_;>v4l_Cy*SbdX!f+ zvD01brZ^HGEWOvk3AHex4W+b`>wBRx=klST5tyUs57;yh`U%PuL`>$gD9Are> zofT`x?2puK%VT|1mkteh*J(x4_Ybfce7=<}gJt&E2X&PY98GqpE>G|^XS9ca5z#jUJZgmf` zOr5y&MqsvA4G)3JL%AZKorna&5ZOAp_ke;tGm*y4^5{`vJ-O;6p8j5x6%-Qkc-Wd@3H+2ctTeYFh%1$(lnLyz)W>z1@QBj7T{aaMO}Uk5 z-=v$1R)T*!eMjt)BmUw3K3qx#rU3qTG~kXbnc+bC@TU;C?y3#m8Qvm+y|Jk|6P@le zs4%m}!f>d?hy#T@MW{jCZ5+ajYe)&G@kJ@qntXeRA4Ut zRWk{o`BNuBUlAkJzSoPbW)o4bfZ01rnWeU6vt0^o`w$xeT?rXU26tNHh|ApWfq^8s z_E^mE7Zj4LmBq5oD8VS|ErNx+r{~yIQowqr_8_->Zv+tw{1t1PK2R|*B$Wk;P+3kP`;Um`Xot>qB#bh0qVA%mwiC0{0o30jTi65Y(XgT z&>D!Yk;Om3S@q9%4OnUfR$BPj_RWyTT8<4-+4Xp~sn^x8N2yaL&yE3;aI^_^Nu;nNwh5!Kcw{SpJx=Hg1v}m^kpKlt>yB2J15(dXP zz!Y@P<#A}00|6`q9t9OlV<8*c2bgkudwTCa*AY{EAy4qb1e?-z`*H(5l5{nb(#_2}v81Mo+1dR{r6qpdd2PB?VV0(Th@_}+Fwrff>F78G&W zHVeODtW2^2#V}(Y0gm-BrxVaOW3eo)_0c%-lU91%CO-5*%X%-DPEso4*M}TaK%1!L z(Xx#sMWuFSY_b);Q>Skz(3;k~_CWvVk!7FS0~=c}DT0(EnJSALAw8p8i7wsjJj;w5 zRDvtea&JJgJjv+5250etbn%6@vPz5>1BM2A9O)mS{lvYFW2XLLL;-E2 z<`;d@T1#9P37S^gQVP6Af>VeA=?GUA926xv)d0z!Wsq~i;y9tjJYY$TB)-&pL7 zv7@6SrFi(mIMBoZUYchl^o|vxD{u}-gOpBfM$H1U;#B{aJ!oGXpGQz5(2 zmho)srn6gDR0+LQ3ZvN1rwxbRueXcQg#UJSfZ!nRz|-A5&BguuVN@ZOOL1c5fIXV9 zaTv@HiTE5?Ga4TgcZNBaxV5UUGZt#5QrLm`P2kWV>urkPy%vg*s;W3GcHTGzet17G z+7P=XYFRU8iHKSNIVJ(lDanc&IQXxMpk!@XBZCQjVcS9i>H6oib|=IANg_v&&;s!@ zYc@op4}BdRR%6>rdr)1>%`>itj;YY_=s*cmKbVYWC?zGBwfdE`QI~?>qBNsL2QnKO z%ZKz(`Ievyaf)n@fjk3FG^^i-Vq?zY(NDY^1+mG*885*CMGFQG_p=k%547Y#Ml?KY zITA+QJNgok0Wbs#{@|SUupc~3?E!mmr%uRMs-q9kXUn|EEX;&QUxr@rUnxvyU_#GPXOh0V*sR$P05V6*=qi zI;%^&9$=dF{I4zXv@xReLTHQZ=emcr*QKalVlGl(eU=Sdwbj2b00g~V)LJ&K{gO%m zrYk%ZYI@yn|?fQb@j>Qe`CJS_7ZvOpabIqR~a92R3QvpLW&Q$dcZf zcH>r{A634*ZT4|*Pj@W^E&{&%`z7-|>_L7YDxXX!p=|}C(4)WTSbAGj&XM;6CB{Z! zQ-jmqo5rNRigUsT>rXu#)94Qn&jrY(b_0X)6K}`}MwS3uLPk0}>Uq&BnxyiCyCnJ) z+`#xit{xrZN(Wb1^(2Vaa8V!i`ol)6Y?!H<%OLGiuu_E zFCZ}J&?kWLg=(}ej+smjP7=%$&mkA%Q%q9wh5}uS@hlD}Yl+pNDzX^G+vx=5yYNlu zLZn3qLvnJxT3(s$HDye@30vtOe9-j46v14a1EWvYRCg|P?n-InUO4O-xb7}-*d!(% zO75POH6l!wOqL39swmMc@MN13;xeIU6vc`W#o6Il6B=muJ#-rpLzV7KXiH3-A3tM% z^;ZdpQ^pe!6)g-!%HNs|J6}Nnof9~?;T)8JxHb*g_zvI(f_n>dlbZv?q6OK$ius`= znw|q9emk!F1t=7?QBF1z2pG~R5_b1v*k2gLbr^XtEq4n7Af8o+I!wOieqlRe=Qvy7 zlmVH%&iX*@2P{l?Pnok*3y_Q!q@<*Pg+ja4)Yr=Fm&dLEG6M{*+p9P^mcphpN5aO4 z^CbEKRh&cb=Tmy`#}PnQVM=dYo0<+3Pd6xWR*6^vLPm;OiE@XFJ@+;jX%efR_)Abo zhKApKdR#&%*Mxl#{%DuVG-0U0HVao>?$W!K58{b$VT@F+m3+H6e1-F*)tQ z1gQFL(tTNUEXGO+r)H?t`fD)`&n>WCW{*Z1H<-y^<~dex+0GW9KEqj4p>)hNEB6oE zFZtszW+S5S58q$msWSx7Z(2cR3TIJDH{!CJ8sI`}XP7{wnDS?o+ze{%a8flNrs0Ng zi1Ij@t$Jf)gV(+nGXGImsxpFkPIU=ti{&DZYswaylQ|F;iRI6`Jl=g4ZDftxRdg8| z;gd_ErE$MU0w%WnMktwrQVURi6}^|Z9j+w7~azrVk| zAD;iykoWPMh!UkDA(@0cvg5I?+of;bJXZ zmw>@T+U^!_GL`Om8VT)-JG(+#4}r+2_#z{O8~htq1dOcFGm+iRiZ(7B-I%-Tuu6F( zENa%CE_z@3yc-LK3?j_S{A{Wh-b&f zh>mdVsDeWq4>CDL>1~K@qjOl(^}CP&Eh-?H2egoDN=(#HnFK^c!NDJQMnq&+ghQke zvai%TF!;K`PvUb+*?6%mADZ)hn6nE~=^obHUR2HQKT^>AT)s%S+Ht2?@(*ZdyC38qe|y$B|WqD#iF41>l)ovfrH1>s4quu=Kj%>R!07{(#^kn^rBPoazW@Vc0Tsy3q0eB5Tg&DGQ$ zviyEzP0in3yWQmCQ7^!#0c0ky*DWgu5NuO#f;(JXu7B0oDAy z0M5(9@pSeqV66P|va0y>0U#LxrkUIepaNB;cJfZ^@SvwB*<@c#|L}Au9{puZ;#DIn z*|R3%j^b#?8sk2u`3uLR)!h@871QtY<|Yw;stBVL&xMq^|5*`$LY)hs>Nw@h{3e@p zXLx4(9qehQusjav#08EZu;dX_O$DSC2?%XXX^#n36$d_2&pXGB|f_ zD{b-u&>tFvLC8}vdl#J^orH8q%!PuWm{wuz2@P=V_+TO;2ZOpmb%3y?xDl?~wJUm8 zlA2%({Kz=WU=si#j~^!@bHv~ga~RCLMgv`!mI*k%UnKMga<%|oywE4@1XP4EPMr-! z6|PY;$zEEqa~7vg@ZaND@PLYf+OfemVp@L*hWYW}FUINeSM=JiPL zvj9H2`|p>W>$v*9F=PpYKE)Pc!Le|6+54mOeQ}d8A9P$M3RtB3uk( zlA#30G502&hM<;VeFCJjZSpA})}qL^5-X^{6O%M%uTI?WdJgODWsBW*UR8u?HlOP5 z@*1knELUk)2YT16sH`V{%EAYK9{PjvMnHa>Xxi?rGLF64A(?{B;Z1H*_u zVb9-P9!3@rennn>B=6hB9HlBO@k#NZameLWbh})ERF?lT?i`Ri!Pz-8$&bH27M^{y zrZ=neyn9AuU#LRVPLNSIe8S}$nd?_e&qn}vN`E4IyV$Y_4j@nvIP3~~0N=cakq0{k zeB+8zO)>iM>7@e~|KxUHUEJOc-s97myPnKgWYugwA+wLvX$}O3RBX*?)B~ZNG!$!~ zLDY1_`x{Av5l*+3kRMLtlt{Q3;h!U#cV~-cG_r1 zjNwLFj(rqOcCZ0|n$xY<=|IJ)aY~|fz6UntNRS>l+@5cjJb7eg+o=2E*Q;p9)N_R7 zafg2hv3jHtU}y5pev=c*H))J9lC@Vsa7`MEHhTAwtB|f~?U0Xfm|OJdjG4w`hLoZh z<4k@JZ?7`oS~xKZ9iyIM`m}*k8M*Ue{Qq(enTVyh}C`MH@Zg&a9cfhHHUtxuu<`>mUs8fOH&cBw>*3Q0UMPwQdxr2n^{*&qxl4H?BNWwvwFaWpj;lgv5Lf#J19BTi4= zfVW>bn=M?Zo@2mXjh1C)qX2z4qQDry=FhN!Py&D{i5Wf!XAw=552&MWMWl+g3WhS9 zHKVOWr3XGnivBGY{rVMl%Ky2YJoFB!(%1 zmv07ia9F9ySRp0BzriHUob(e^%;B@$r(YkPCVrbqMD@~Tq5P236f5Gr`mVCDoQLo97&UhPcBs$;Y=&KP6eO$Ig)z&rEt=h zRxT)6n>;HvD#*M-ct8pFflJa;t!@i>I;_QPCCjdu@*eSyNGv!5RCBiMG|{g~?}6I3 zdl|fo&aSQ$5kWfBCdc=$fJW)-^Lgih-lkP2$;2xb{Co9K)%BhqC^`5wG|#thjm|T( zm729_lO@+feV|WMJHKG+@%quMx8=W9Kh81$T$%S4b6iy#0GML@A4g}w7RBF2VOYAm zyStX|PHB)5>6TnTx;vI`kPi6+(g+GjcQ;6PNvG61zWWLGnrr4a&z$F+`*^>uod?=- ztjS;wkKd*cr6^mHnihr-2=|Qz>*7@P;yckxO4Y5Z8-`|nyA(pstV_s~ zE&ED~naM1LM*|y;x$PeQ+}-ObRHpdmF6x6LwQJ|t?t%BJ<)OAxp!6h|a;djnN)kUt z#;JMH7Q-}#yQk(}E&+0dgLm?_v9vh(%A&>N&}r^jQTdMllf8h8%!h53{I3>lyGA>^ zHhiO#^f`WIZg(~B-^pL)9WJ0LnUqtkLI`ZJ7driOh(*e~kLvdfog0WM6OKaRFy%$i zt0|V}TH=L2be;Jj)fD#kb$D4DSTLmrPC4S`DB7wV{LYy;t@at>?TSEFHi4#x zR(`rZ$MWi3G!iGhgenYs7qfl2bgPq2;(=>3WrMQ9g-5#_I-9nLeHVI?K<`chNElW$ zk!GvZiB_oW<%*xkQn@raxKxoQJ3gpMb0DgWzpp0R3Lf8$cPdbKM1e&R#f4rKhag71 zx0kjt$$=PkhyzKukHWCa-Tv1aRt7_y*aEFV)Y=EKdJuzRy94WcynYCs6Oszi*hX0~ zV_1sD_zba=Q0-x8$7ko4zUR_R%AMhMWU}X0W={G=TW`7IUbxzx{*_#RQ3zSCTqEUm zVru>e5kV#XNeW8??vBqp9}H z2n1fGe4hssyhq2ku#1qnNWVuBsuTO%#nBHC_<>i|=pOirXtzP+W(f51u6BG3t*<`b z&-=V9WejQK;09>?GAx~EL&R3fqgZ+XX1kr8ooHcW7ad&c>{^)z<&y2K0e8p5L%hnb zULCIqxBTB})wH5DxA*oKOzR?kT`-q~>lTmk=nX}yRpqhGl76HmqfX#HY1R_n0pVz} z{e{Is7Co}gnKH}nTha+SI{E@detbGAC|)1FKy}`%;O3-5?B``b=FX^^g8v!c@@6z% zS*lE^2M4KHvuV(_Sd_aRu6ZZ0j>h+!(6oG^Q(JuuyMhjByt6W3pxAeB*DQY-Ght?F z&?ZMn2hUnvpJ|B2ZebSF52ZYaHUJ0#?MfsDdRRpn3<@DX@~YHn?lW{No!5Ug0DHm9 z4q92jGVy*CruxMg>nju1Ceq?fx3Pb@Mbl$8lBJ|27JsV0ca&6=WFDhy8PNWM{O^v1 zL7vzuBTy!>+#wDK@lo@gkbZK*uITaYASB$Zc=2{Eq86DcG!NabYwSl{vSxPX5BFFBAd#RD(@T#qufn zLFP3r-BZl(uI$*!9H`#hw3sH_DApVyU*fW)zahBbMp#`?j|RJbBoj;a8a(DEjhU#zY0L}oxftp~ zOcIv_`)(ukF-?&o-6}spqvdgtNr!mxjK=zpA|^|_QY|?d9WJ1Z-{p{Wc<6=b&cjc~ z<8XvkJvbn1S#HJO5)lCnP`vjHy?+ZB54H9h!BhkU2_6-9#6*7q1Y< zwt*oQ;g=aV9v0e!@%Dc}utsmj&EzL_ha!q(z~38SNdd@9`uh5T4yaTCuKxax^rz$O zXC%?CIuL-_{Ro}e5PYZz`ddL(7Ibr{buC_7wTYZ#Jox^4UcG0KBN|WHlD}kEP|bDi z?|hZM-h*fX_Mo)_=E`#vr8>Ychvv|_m+sj;J82F)vhM&%gNn-5~l+Qd^V_?QMzOWb;ud z%6NZZm;U;OljP;Kl~Bl>x0D43lAcygmD-Mz!^}ZLQDGp((HFVrSNpvH?oQ zQv*l$E+*FIoPm&R^3S8D)>an5FnIc@?*@IEa!fA9#2h{W0-Br`FJfpoP!}Bb0J?u4^Kb@H6IO_I?OqY0XU?k4=c!uc z+q1VR^~S|VD`UPLkrM|#T4tQNNdQn?^NzCni)6+%{EL-G)sX;%c7qeB8baBd8GD9L z#}fPIX9w5#L>c6QiY0clH2n!o6^(jAXP5Q=)=S2zK(M z9KBJe9WGcWPaz98rO3<7^nvxe%T<;;Qq8_i{im3Cc<1+WL%_pQUKg6?ps&=&(+v#~ zKr}$}+q0dsDNUT2Q#HB68eG<%n%O>7%fu#78;(xNRa*L_-RLALgCC^*dM2;TNfT>A z`W#Q%()>g6rO~jpc}R?L$m$*0ErrvGr{cPXYWQYQEti`?D~}qa#TPx-ilCr-vin=n z?C8ploLANlo(b6wp5Z9Li8!44FfTQ;FJ?dSaYbLJf$h(#=@7!E96m|5Lz3&fF`p;O zf4!#r6yMGgJ^m|6zT@Jf&btRTXPQ&)mlnPuiIn0Zl9H3=^629ar;U?<30Rzl)pbZ@ zVE3ES9utCS0&hubbGxs%dtl(%hY%f#yWljvsNN1bSMrH3i%S!W` zE@rc;{1Z?d^Ew;LIFb;AO~E-YL(PTO$PDISegQv>(H75TYl=QpVE+`8a+#3MY&NPA z*w%HN;Z}OU@WPv+;ILW`wOSQmo;AR<7KQ(qyI+t8(@af5#6RVxfYVLyMqZV#cb`CQ zED|^(IPF%(Hz58dnKw8=T=c~sRzF3 z9I|0Hzxrlv2z^M+S6tDVcW-Y0E-%l;7nN^ER}6*moW%kdO%>zE>0X)=An(mU%jbb& zVy=wGFh7l448%50!Z>qc!nlZNg{kzQk2QL@HOTxue#fkHUK;_K+E*uNSy!gN0-ZuO z|Ey0_BzfWs#5+9mLsjQNG~+hZ@;sOSBE5Qlr~MPv!fP*ERaD`0S|40w2-xqkOA;Qx{RtLJ=q} zy-S@ycr(JOD^9oUAJFc*cr3ELvrn+Q_glBh=#!Guu5!l+|7;-0=W-lms8Zi41_Nm; zDrx^ay0st{7T%9cR?TgbiiV9!861%@pufD!gVPu>Ez+LuWKubOd;@<@Y5oG6?SNWa z&PZ6lht?&Il9s3^c&%RGGso}m4NFkK?J+?@LV)S~p6?DATLZf}CaKaA&Xq>kR?v6t zXS`FV=F1mL5uj)DzBJXB8)-uX>eUWO3uzeKxysI5aX1P7+Nqnc)X{Fj7b|QWrGd z7cMtw{K${1E6cI(8Oq2up`|+c=X>E>Oz|xHl*3FM)_BH7wB*fzs|+GaX@UvaXlB}Y zcUrB&7Y7NYkkhtA2A48ldms1D?D5<|6vrQ5>rK_ndWZ<;{Otp*uxrI^GmZMtl{{2p z#{$2(@TM^;la)Rhd%D2*S>o!PC1g;6{+-_-3AjG_%6US1Z03X0C+Clz*l0A#wK#Ke zv#k*}#s_A&GFxrUs4ji!+J+8^DDD54SAe5p_uny&fPuc2J$Z0e-YjF^iHQv-@2^S^ zvxymVP=P{gPQIQ_R(rk$Co^AJBk7?Ps$lM=ykmNAygsOS`{A9sVn^(tj|E{VU(1D# zA!0m*IoRqotkw))D;KFs`cL~u4dNW;FVB@xaLkG#Y!Fh8WR>amXvfg?6a^J-qx&Ji zH@8Q3HLMy5-T1~l{5fjQGz||v`akpQim_IFT4?;Cd5EsdG#5!dg?s;xnNlOk?!nR} z8<6yqjY`!e30*IIPqP(>1!>ecyCvBQ47T(&v9_kaG?rZ!BI6YpED{8(k=vDL&PQe$ zMAi#?oY~p~{DKe%aJX^q$$~{no8_6nWt*Xvf;(%TBzM1!n%q|0k5nRjOJ+w6s=XzA-_wt!>iOv&N#6t%Fxx`H$39X;*hcXSZYBWpwnYuRC#)r(59ly z*2mX{Vw#zK(H{7h5i<2e+kwfV^^akET6Pf5z|^p1$L_p*;tQKU^&%#&I|;~2DB`b2 zQ|N-+#p5<$XAQh4KRhVx!TY|VbrEt~Xq0+n&aY0zQ(q#$IlBtWT@uBvY=sn-iYjXh z8mN&S>gQRg)T0xNVCU4j;LTb7KA*>M;P2_V=lrmWDr^T{)g6nZ=TG?T8uMJ7`U)#K%lpOR^90DA-Ue?|@s!?`DNtE_5y}XYF;TKT5 z3_K+|`N|w(LVIOLGNIrl7(72Qx$UdDgTGC*?f5pKQ9#?KT=wZ){1=A-9-}{kJdm*u z0h3{A?EhgI_1K~ChgO&sI_bx>Pz`aDKJK@zn-k}q4Y*>_d8MAiAF4Iwy^h^pIqo+g z_fqdrzc*v{UKQGt`({IcH~bmaIkDZv!D!s3-Rlsiay~_OC79g}HC!fpS2(~beHB+> z4MkwaF(3J4iTE34P%i2>{Qh_}l&pqQF4dYDF-%Vz&bi+2HdTz?j_lGieWba=zKsKx zGo!E4=D$F$_tflUhf5y$=4F)N-^i&}6+y-GJO{6?Sw36sFN>+L{BHlj5FKI!J5H32 zMo9xgvQIdO!=PLW8EVyAY4SsCj^^aahT;qUFj3opnZuU9Xk#%_xn^&mh%oX~*lRULa8$v)+n_oK)fV{3Bu zwWpP#h@r*7&fa6& z%3ZjdoJABQo_R63)gS6M&QNNpwXgOnMh+EzT>I7DKGsC?z4GNkqZ-a205!uZS=l!8 z7}6Hb|N9fuIa1vUOI(^d5E0wyWT+3HE*TviU92?)IICl0K+_U#O;ODAk~NHc-Y73= z-lzA(T)97t*kcuOO$}?Ej@@Z-YBEl+A>w$PI!SJf2N5@4NRs)27xAWuC(`5Y5@i@i z;!}iLgy*M`iwWyA@7w)_aQ}NJe~CLbW-U(Gf&CLla`5liESaADRy2Ru`UY^jL64K?xEAGZ7{y08%C zQ7mR{X1v_%A|AvO^M{_kHc(q?*nHqv>j!V)R`dU7c|gvMR=>X^^w%CNKxR`?SLpi z>>X|`Vv()YpWI&mjS(_n@qOPZ@K1Ba{c5$>r%;;?ng8(qoTdxB%sTMp+llR91@*%f ztasnw^6-9++PKbT9Co3I8q$4a_-Vv69P-c~e%|}jdMdq&zbTjbPQ_YZa zlRJ9`qjvDVPmLucB-k`Ap9kKH(lN%Rbm+Y8Z#)d(~K-d0%CFD+%=Un8s!62^S7 z&Jl#_2B*6=;%hz_)zDqxeF>ekru|%uqV-;8-M;&L`YnH*K(9S&KRisOO+55BwYWyA z`|CI`>@M3De96nJYu#pd8&xT<`kVz37AHz~VC$&tw3;ch9APd+5?RyEQdUj0x!|NO z@oZ<_&(+TOl&u*ymA~Yuhp*kyGaQpkQX)a0nvS}Ow+eku&s4J*P?ZQ&pNuK$FeePw zCkIlGda9xO28Kl-XI3mFUAIzZY5mCPXK*kcb&S_sIOAO9N7gkSLwaq>s^95!W&Jq4 zvWaZvuH_h(X-(YIZcWDQE9CdZt^~%AM$=gem(X~H#_@XX?y+@378b(iK~Q9`)5Sc5NBa>+6x=j4VS30T znm+~B4Pg-qnA-?l27q$ptu30B$?mwePFZ-245x0j&(!|A0qR|p>uh{Js|h`w`qXH_ zHlzyg7JEwipgw-6H<}v~I1C~?R%si;2l}-pKxld}@^&}8i5{=-ev?4ko;=n7WJTjZ zG~;~dQJO28WP72y%6UImD1+M73llfCEO&MHNyASt4$D$7TodH$4pid)y%l zA|cGaHwp3sbqL3R>v+&4VUiFf-A^15IVFky#3AYJgD6}?O1GQT>lXfxAHghSLEBnO zj2mKKS~zL`^txp;J%7FOi>ouy~uIB)C7V%X4LO4tBp>o{rwfqCIJB#Pyt0`~(tvd9gfWl;Cb=1(!Fz-0}A2e|%_Q8AF*YsiN2YzTM@& z2d$5B5sJ;hF{Hh;ldI@Q)${|=^7i8{-d)xr;lt6 zIcyKb3a+`!_24g+99K-`kTjA%2`8bl(VUARAoCa0!8 za}OR!Q&XUrhU8RfWDX3|M)o~6___)i){5e#5Bw+{7X|4+A6OV=Fv?7l>WKQiP9TTp zOB>{qShJ}X{0j0u-SF$X^|O*3VXWLGV2WaDJ@8 zSY}D?gsag@k!}qIdNR+%-;WwNl^h$n&%>hm3AI`UUITS7 z??cB5kV0Mm{cyHbB)xlu=Xg_2-cp$*kh-_x(kB-SZvu)=c-fYGzUT!$?P~5W-5;?J zuvvxejujwi@6U_hV$Rsc_pKIa?`-U~ARpc(?Qjin|0ON^wxsJCmT$zU)-NK(IY`6T zu^F?<+;O?<6hY~DG+BKn>#oAj=ZVZ#4ni_C6kii-zqlDpU9QtGBlU*4)FveF`qu9N zw&-7-I67_-7(OORvxj0I;j_4FmQ;{Uy_@QTQf3U?<2|se5vXS1)RDd~WqxI0sB?d< z_y*3K{Q68E_4I$GSys%t4M|N4Cvy$@HHTqC^V_M~ZL;WT?tNdhEVekzS1bY8$Edzw zn!NW8{XYfJdmWk`7>Am?vf;k8MU3u21aidz7{5SnhyNqEtZxw2jlAUp^6P*akz0tt zW}WCnzXp=;!Nxi0R4~0)d404FaQYQ7XJ{vvD~M2iVffTYlI$isc!d|TYlE_EKzrGs z0A3mqhtVVJ?eNvH&2{;vp&CnT+Gj9_YXO}Jpy`__$155Ttd*>Q^5j$=rs-R)g|+!w;6yy{143R@Lb z>FLbA8QsztOqp`KOS&#^U~$->tX1B1Oc&t2T6{OTfFQ!Ky%AcdcDqiG>1pPqJRppT z2}F;vx|9@o-LtS)gaM(yg^MeLghfTR^%u@U$mMon1f}bJi8XDWm`&mj^=kDCZo+x? z>`@$u6vy~6tG&F~dWUq-?B=@ol>W?+F!@sVm49{mIMlsu)O{`AjhqQK`y(L23aHIFW#TwMBjO zbDVrF!7rkXgtn-k5zJ3s<_Wa;47HX&`}#h(tv}goje`)dN?hfIlsf#TEn@NLpsS*u`n@nI8E${W!(*fQ8)tkt{$y*5Mua^Y6R&l8IjMXhx_heDS z8Nzsy6^uAycs7l7J**0oP2}U{n{oufphEF_T3w>|dFA%I%}*Hwij?FBlj3R&&(zK8 z#=};u@d%IrI!O6im$(DuCn%)E5n_P!=F`xsgQLGEZ4=@*_q;MXfpHj+!+b%=;ONwK zBSqtuXsV`8$Bf&~^+2_f}5a?yqC2`ktr znaccwIWUcgK`gleP~w7l_?VUu%;n)IzU}$zFDPd3?P`?l>MH)la7iQ0B?@Zws+JvF z{Ltqq&xBP+=P2tm@r&ycRCtPN`NAp!K0G@#|ErQcxD`L76(c7vF!TqsPJ>#!m7}A| zC|+f>_LC0E&Bx@JH~MuRbKnnj&Fj zand|aA0k#uXk(1g><=yXGuk2j>?xDs4r4uy4*EmrJV%;XHy%!dal`X2ZcZshGU4Vs zZSwTNlk3WbNWY!QKgsDl&Q_@n+D^oM28gaGoH`HfI0fbs*o~VsoZoC_w853)F?x*F zggIZCn-wuHrT`z}D$h;AqU+G@I=@`uHpVVe30K4BY&g5QGbe3oqY}KNJ`=<4_Qv*C z#PDyOzPBnyxkEdCKw8Yz^%3dh+5}XLxHl%K9dU#`eYp-8`6$K>h2-kJmy$~!LUUgBZkE0)k#iHj zCE>>bBC~fDjG(p%b4Cnb7!uRjz<}S$W*Zl1^Fa$8!Sn*0hNh~CLv%Jdb@jp+t11XX zFS1sosCbx`8OHW)2gbteCFC~?@k|>2m5odq_v>zwX$ob89-LvZ~h>24|V`aG8p)&7e{?0osDiiTP#bGrcIBklPKO$OD zVY@qDYPCrrD0oBGZL1>>CA65g^*IH^ck%vm)NG@2GuidD63d&OBk#m&ZyRcLnH zop<=vOWsxm<2GlDlh)0tNSYT+>3-+|sIKg}J7F8DQH+nvi1EaDNuw;2Z3dX!MoYfQ zB#9%?8_t9}-4S_yw_zg>eDhDCADB8RR*S`F$D(++Em{#mq1A=L?S+`qj%Z&w=Xo-W zPFg{X4CS@^j@xRyP;8mhdgKTJs+=7g^M>s#B^7g`-n zapdJ#)4xKHlMoc9bcN)YHj4-TipkN)AVJSu0BdMs%HB?CiW1-UT$)7ay~4dx(3o<9WTfPq!`B%ELoT5jxP6Z zz^yO;BU)cpoT+5y*E4Uq61dcw-&+7}74X4LP1OIAOg>}tAd=U@|D7C8_dZtW0RAHG zVCCA0!zAR?GJrUU^&9-D%JzWj_wga>EuYIDu7Nxb=40KPar+?>R}7{LDa$jIn1>@C zJy@NgnF@LEE>;J{gE6q#kI@3?on%=4yT2|bZFF*zSg27`!Bgo7#AW4j(fexd)sRuX z2JXeL?1O7r5pecAr8Dt| z4zN4hedDm_;=GF12*G}_&XBuu1A9Glb4%?;W_$B%21?qTTcazfes? z7wxf>icMs~y#cmVs4nMXQ_ev#Vbu#^5`#^PQH@x_hSBQvXaDRchTj+Wt{a=5b>gWD z>`f+{RhfDh>oIEqb;mJf7+Bc9JzQE=LABpbRKx`5m3*M1`2Ok%i|W{RHOEqIUvA6XWA zDrphrpr`T<)K>erX6`Y>y&03a5Wkmv&C)P)=OB;bfzj~qbuO>z5I+5Dt?<1h7Y;8o z?n@+ZrbW;tua1?yhQq~}x>ANs>gQcJEv?@SafN4`7)u?>Gc7gDR_0T*9p~D~)VcUW zs`0;j^Fl_C<|*f`ThQ^AcRM$RLH%ks%mVBSLu)uSj0tu4zbzxx_+@p2;>k|lf$iLS zdpV}|y8&)ktEJRtIRQ~7wFN7+Q7ApxC?}u!@+SLLzNrxhXnA}Xi@je*_)7;9O?cA9 z{n0GoYOP>jHx6x>`uoQvNVH%QpwwB}{A2Hh`MzBTy-wQAY`m;(&~*Itd^xWTdO6A0 zT^flC8kyShm?h_)Xl9NGE;9ZQa&vm_vM@hKO5yMM)dvfv%EJ4|Pl3OIWSVGA+u|Jpm<(ANU%gQ?=^dp2+DC)#Kh4;|uo~t+wKS^CUh$9= ziyfi+X_LTCYpch7`gITz(MB)jw}iW-awN>`Du$dzys~)Vh%r)^Mc*gPKgsRq5+^w;ZIO&)Xz{|Q#QCUJX8HN^HWrrx#|a;4yija zX~wqQuFrgKI)-r;wWtpj-op6bH-=W)aESJ07{Rp9-}Q&i_|LXJn#r7+{{^Bc4}fAG zyCPp@$$KcKN%oUnPsTg)U%jd+VHf4|T=}mZ9 zVMdo8u89EY2k%oN|3@>H$}Fcg$5?Fftg_A~-g!|Hp)LT>s$#Pfvg73ax79!65-%2X zEl%O$KnMd11EVY_t?M(1()wi_cFY4R(omY_ZOi>O9w8s5oUqesR1@B|7Om!^O3Ect z)a|dQt&teROuv@7e!D{0=r}%V2qXSJaQonlb%hg`i7-${c)qG>xg`eiK>Y^C@&P;H z*Dg5sVMCSbfR-q3CBWTa!eW2e!zMwXV*^TQl~D8R!&NRJbK^___;b;|vRPIN*xXK-T^tFj$wNMjUD zC5KV(aquNsNIu!Jl41&G($me&4cN__n4En%Bmt2pw?`$SXr=TIdm2Xw#gJyXenvCd z!k;VohpHLt1oE1y!7CI8{r4NGeI`3cN5FHU!9Zg9(Z3+BH~m+GdImH4qQimS`uOlJ zU20f&BCZhZci!YrYJFmFyCLKKAruj8+oRnIOMjq@|Rlehip*6kDJ4E1mYe%{&nB!sl_VJFE zmuu+B8C6EpNm-dZONWm8I>lL%;i26*M;Nn3bntcP@u;iov$EtuHxPW;Lxa@$=#up) zn0oAzBIwN1=o$lCwIz_Lj&`<9#zup7vb-A^RCrq?EvET$`h6|YbWmdA zJE9#QXMuRXt44QXHXP@+OR>A;z+YE3$D(()oCSx@W4r3WnIgD#`;cqj$Yp{Gg*JW6 zvi>zHravA9p<4pLO0&%a;fra^ey#d-CDdNnmY!^Q8%E7aU_Ha&GD>eJewAyDLLPcp zi;!vsC1j)I&WBh8jAbs-8MXRqh&(KLCCZGt^BMVJyZ;HY5n4*EFmm1(wmrdGsbg9ggK#OnKI9<#-=s$m+^6}k$xbjA${yVT z&w!1^t4H!NC2eddLHZ3Q@itL{`t=AeN{aE76}7p9Rw`F>@QK6L)^J!PVkY({1Rae)w=d1;axC zL7`XjOyU#SKH7Q(3?V=<-rL#F^RA**>miaC526i}i<=`Ie?UrT4+9)17K~t?6u(vq zJ^~f7!Dvh*2^%D!CPtu_!A)t{8Nyk>fX!=NNnx=Abn^kfz*=$-7X20>eVu^^3>Bs9 z5s@xnFq!(YDS6L8RA+GzJ*EIUC4_$9w#;14BtM7{H>ga2*5?oyz+50rSlq@R`0in+ zl6k!rlE*y9th{&UWS?TmieaX@Vz&erE6DBK4TUp+X)vZmh$N`Rdioy4!LVMk)C{^{Lsvx9A-pc5-or> zvI=!rzN|WIJqLZ~G#9Z<#9Oi2$t}o=l~1(wBrnkBadxlqzEBFqF;vT!v5+wg_1^xl zYr;F~v`zoZ1)LXC0B#`$z;<;}ey}mm%HF;7eFkx9LLksz!Y23fD%B7X)kkW84Cwg$ zX>aLOccBlOhDC=9Z5a{8ocL+A(K`t1ttubkX?Mo)8&#`*R2WDm?NA4?IqTCIL&3u? z*%wtoxy^koP;-6eufy-zc5LJDUBman&p%`EtEV^*><=2BY!<;&1zA3IrI0 z@|gRmil-OMPU4}d*};7sLv;rrg{n+)%3-5-=t~3);Qui3jzgzwFdfM*#HWB64`>4X zktjen^0v8Y)@JMrI+Yo={?bA+=Rr5rv=~PgtTa@=ir(8{vkBV`$LpYMW0kpY#5E?Z zoD759 zlFtO7cqq=EbQ8idI`s=KB;$(iagcG%pgi0Yg%f>H`_m8|PrP8fq0@`gl_bu- zAF))u?j8J#u=?4U@Wn8!eq}lGbUYxWt(sV6x4>)M(spukQb#4OzsG^qQ#cAO^8RAF zaF8u~r?FtB;`QP}(?c{jt<@NfDU24O$)ow{a%T|8v;tzA(bM<8t2H*JkO|BCOeToAdw~>m(N>pEgly#o1jBL(PGd;Qr|78lUa!E9bf|-lhcP%8NBkDoEH%nTnxym{W zN#K@2(3YU7fM0-4^+Wi-Y4;O0&sgam1bMC}F92}yv8=r!BEtE-xNGHC%ZIRsMc7TF z-{BNHB;VxEASAw{4!8b|dGPl-hD4^RcS6zne9KZMPcx&kdiu;neNMMJBgh62F{h_- z3U=|xfF@{RzR_ zv&EE{H@an<6HFFPqNUstPzZZpGWr?wv5gKOP7oJa@de0$!TGavgd5js{O_>WMn!H$ zapgt|^ez!FoKb&r=h=+9==YrUJHPP3ih&iv=!VGgh@llr#e|VRgmu8ACLMG3ycDJx8P{xpC4_kHFVl53&NyJ8Mnq8jGTp!lJ;(aTg+?>&6S z>2fbkIDuT$e}fWSmx)BDBf3t|1&d3*>(G37D_9V4mn}NbI<7a{n7I4G}n zc*r{U&q}J)3fnq}{!Te_eRDJmY>E{@!@^XQlnO>R#`2F3J^*+7orczDU+}LC;y{m> zTFzgKsByi1VRhn%>ZWO2X9l_sUjw1rWxem^hU^$*vGn+wfgvZ+O?10 zKh)?s8_Bu;DY%a9aiITXcrT+v*W(_dmC+c#+oy%KlXj|7XY?_N#yTK#ICa!^nQJSE zScCYk8g>X`diwD{3ZzPydp1@oKu~{WdG9#C6kc&D%bNMRUwl(SxIz49zuTc1Vs%|I zsjwpRXIh#YSIlMB(-#e!d_wpM!CWDi9je(M{i5(Jm}9;0n;5Cs#wMKUs$6)EXXoq% zdM%`-RhqffZG(a{Yax6NswbCrp>#h&nEi-X&y<7IXSRT2PmTqVi<+`Dj+(sH>QUz+ zuVTfFgB{&~@8w8SxM(}t$pnJLySL{+8T6026 zddcvss4K12(ZTY86O*0*U$h|<%JXeJGck?A-XltoeA~9 z*l+)Syt!~8t`rGeYJH{{1e(WlwfSmtK2N!`JLKiUv3=~~sJtAvJq;DO?*M;6+L z(c5t!Ykl`8`OjvNAw&+{+P7 zZ*|t~50zrG+Xj?5g+3$jROjCxnF#hLsjhO8l!YH%G0nIjkPHab%|zJ9hO8hhg7|vjyi{^vi=EZk?r9l+S7D$P?OaH_L*BelSPgO;@fhQI6b4qFyn?JQs#sqKE$wOBmuh;3nf95!Grpg} zD!fO3SB(^Mb<=jtiGd4k+epHxx;d})+!z0QJcR3g{NeN}dRK0`Je~?iO_P3e-KT|l zVo!G`#6Fc=>oa8WkD3zvIFP|Bmuc1szfah^t7ToxCAm7wbp8{cZUczKid5Yy5jSb@ zDm|DeDQvzN?g)nRire(0U&*>xm&O_sS_X~$OBUe@1$o(rkJ`x@noES%_~9ChcH@ML zZVIcQ1yUYzs_JPP57mlm{rnZMjDwtz(4o46-5RA zTgUKIgAoHL_S@p8LDh_I=VY*3jO!myazjm`w_Pi3OxrD^2Uz*rk&v36WTyH`t*uQX zv%B7{Ozj?59v2*$7O53C|0#rc^pPg&bNRL-0_F%sDE%umKttY?s;6w!*oM@@6A^&(aaQnM-LTg2ZGvQfN(GID z3s$z}B79Kk(nI@BodGdMW&QVfF8+PeQdpTIJv<7ufcATy16hqp&^= zzSzrU@S8cymzVX~k9%sgNstLZ+XApBv)nfii|}acy-1*Br)*jU`j9a+?8!+4-@iAN z^9S58;{$Ft7_H-v)|W|f1gsYO0Hf;xxU5M+f2*onm4tU7Z8u-w)UC0}Ui0ncN~532 zPdct}Tzn3NFlIsPVI$$_)>98mImyRiLhMqQq*z>MlQz5y)@_XqE7asLYxaLBb}>Za zYBSgqNq^D9G3SJr#yA*1(;LeVM4hNLmEhEyx3T}oS$1gNUIWEUJO~khOC7rfaitr{pGtveYPX zuT?DGhA9QnID^SyhOIuJm0K2GH{&7v=LWKJyQk&!Zz9wa`m<9ik&P_D6W@lH8To5g zc5QTMC!Y0T_Rqq$1ctX{o*nQ8fzc3=JhZqaiF7%6V*g^BOT zqQ1Nn|<=##z~1@ePOdX33Q~lBdN5U*UWPRGwY#WSKnYV zIJH;c3qEoJBH+w-_&OdK0>bUVF>SYI5tw9Rs7{AL{8!<2s-sp`^+ev!6wPAcbR)tf zNG?)yRmIyv33Oz`ZdTqm582Hkt=Db258)skMVbVD6;K_fX>-)3i;di3PBT43L#Zl< zRY~JqwVADnW$pXtHp7zX3-Cd=DWy3+sDQ1@zOS}$pYu8y(YWVl9>UGv+fPAV2owqS zLT=`cf522HpVFxS(lEzM&zI5S-?u2}b=M&{o(Z*ym0PE#}qvRt^HgXNRjX_v;FqCqV zW{ZV-d;)yOmzMH`7==3u=i6ATfV@L z>1z*{j}n4yj)PJj))<>**epd)#L|Gb`H4??fi2pnTX}gbPnplc;rZM_3FE zUDbL!UJ;Zv9<7{Vg1mR-H#t#-imshQotqToUg)g^u$UI$?_T);oACuTEYWm@NGsLQ zmtk={I9J|3i0abX`zwb1PrvESd{1Iqh$2d4gvmck6adav$2MaNmR?B|H-IC12jtCm zcja`GyolSyS8)x>;;LW;gt^%B$c^U%pC5Q|A9zHk>Ml>8;K>n1AQM%DNRq)FSAcSL z&w(V=5<%7o^a`{Fp&uMPJQ}I8vy=fm@VnCin%Hx^kBI~yMzyn%mV?0kdl`eedi1*? zWOP0|{+GL$x65Ccxl?_TLaQ_)1sjM;acUTv^E#iKnXcRism4^o#zy7rzb1d#20QEN zDdDa)o?#`Jol(^{1V?HGm`=Z~Ix2Gf@|^x-K>kGcpZ0kOQz*@h?ln}b5GZdS{dr== ze!Jd5eo~b_o_Vgt>c&OPn+yND^iuA-CND1zNc{5GT} z#|gSH31twX1^L6H7u%!L8;Mxa_|loM*aAv~MAy%E%lV5`Uh?;aEV+Bu9_|u=tJn!< z0{oAGhb>L}a@8mr()7x2LOURb^Bdh7M=m_JFD*9IbfVuvT>HjoAI_LRbMoB1=5w6t zUMo&UA)#DlCbp&h^ND7GmJJ60x?hL7rvXQmFIe?CvrVj+ehYNFex=PuzSC zRvEwP5PYVj6@7*J$g|b0=q8nmM8A_rmWAIv_xhckeeT`el3@sY0acy0fU^4I4>qGZs}if`kNIu#k{&hG6w9@2<c%e{XJnaT`OKd+AV z^RM@bb0%$!9bD&KZ*6T^)Jt8UcV4YNmh*gDBOty1^!HTbRD6iW7vt;G>GD5Y0cnvM zr`K@|viV1WX&$03pVjt|yRbv{!s2KXz34U*Y|FF=+Bd7NOFR)iTUeG$-K$gXX?b|5 z#ny4R4fV0yxJBv=mc0)&*W@0WdLW^W_RKytJ3>wrZ)+4&cOJN|m+H+ogO+FC5NF)3 z@$8XwcK?k3v2+gXb+ujFjosL`ZQE93+ic@Bw$n7WZQFJl+ji18dDs1X-~IzRj=fjr zx~@6TImTZ;QT%UL^&_UwsiuEY6UwE2Xpm(rf={%OUeyur^iv&?(z>D{Q&o(d?Pp#+ zf0wpsXW{G4q|O^-&KUE+?(?H`IW+ML1RbAmpDYe?Ts&lGo8)zY-FTE{`-GpDZq)SP z%m9F6qHke^%%Zd?4~ToGro|&j{Qi3CXs|^#@V2AxTU+*i(_;U5Km18jJ}mQ34(b{C z|GGN?sJ1GLL1afgMZ_?wz{wQ>VjmmM3}>rc7@=S#;4Afji3Witj!^GLS>GJ!5LP?8 z;D(fL(4yZ^Z`gs0oYjNgIrESA88`lmRaHsM)5=5?wP`o3B^Qi6H>6DT^O(_qgt|*!MBxw|DjtKuTKzvv-5jwkSL=E@CbBG~+-i7HnOr$@i`Xc{Igd<2Vh_V< zDP65qX{Ub)mO`7~MdBl$zQ1SAG_#tRw;s+~55k*W64iCrvcIEAga4zQ@cLyHi;7m? z5==%sD@|4%5{4xE2kE~}FmR|15i)k8kD_^M^L?dvj5ZU7vN7?H9u^QX)~TfVv9Yna zxj7)iLY5KC%|h-#YYF@23C4KgH~#h{gvkC!x&l&6Nu!OQo1U1WBNY91!Ow&MB$8&N zEBtdgsQ_j^zMl+C=_EZ9fg=1mN0Y6P-SZ!GGiZ82nBX{`iX_RUGQDl@B(w`?!J<#G z75%Jf?<$HvD)DFxHkc6mp~FQ8bpbwv`Jn1v^kCjjkM0o9ga3*s89nNhe@D*wK4z$~ zKhfV7wikNo$y;$l2WZnS?V(480_R~I4Xf1Ox_a%#{An;~sAj3NW3%N)uH?ND(RamT z)Lv~~Axg`F-*oRChIC&#OkruLuUJ1>|DY;_eb8bi?EtzhV!^?iXyXy$mR(DL{rcbF z_$a!te(DrhWd>I2mo)|85G&v&bvwUxv(o#5<|)*opGGZ~{t0r)fg6kreJvfxK?iQ` zVc#M))C}9+hCGtRxu~jJPFf)56HzC6)Tt^L0WM92~AgOV6(40!(7xjT;BnKsCoTOIK;fV(|*;WLRT0p zvMhGkd9B5mXT|{hTR>URkd32yL1&|vcV={zRq$+d9x~FQqVf_|^s|hf(us0U_S%rSgJTrHy??m&Y|hw?^t zZ6U~=D8^vDxWP_g;oOLA_3D~xd^eUkfSG3kTx^nY3gj2-F^Vjp`Wn%H1YSRrDU}9= z=36ibmV*P}tqU$~5XC@{|Cu#u{{Yzyft5>)uPy=Pog8sg+A``m`C2H3FEM43_+jN0^Pvi;w2OAU*R z>j6NNz`l5v@Z^$&$+v-Cl4pcKX=&m-)~-$uPhh_`W6@=rn^)l2$I~-n7N$6NLkG*j zCgucJO6Oh^N9H}`-Sm6*5S~y&ZJfxvG>vXhwDi`9wwnTsy-DdDGtABkeA1YBq}d80 zIZl|97MfNVGtntz3+GuugdQsY4;pN{Da&R9ReR+;&w0q*7>&TbckXF*ydnVPUiG)2 zBLj>VFHE%E(fo_ouM4;llsEcAsodJI-c*q}5~*gLDV#uv+c_3{mRM}!tJ+uG8_Alg z+LOaTlH?PJe0|a^`=?O%U2nP6d;$3$=wz@dmNA~M_hX^2qYTGZPZoGrJT^dMGGHOZ z#g{OVQu2O=vCFK{O5qN1on{*M*hiJQ9L~m;FFE-%xB#sx*m&DWb#m?BO@fGrzyNpbZ91oa zr(-C7E#>B9(_>fK)Um6f;dGOYLx?Tc_vG*xdgfv0q=9R4oZ0NMUfy5}jzippa&!j~ zl_S=XC4~V@lb9Qsc6?8bpXNNAH_@h2$a@))_~Y1yuXAQ`ue!8#?ve{>*7gqd5& z?*l%@r7g#BwjeOJJIDfv>hX^p!R7;4ty=W8H(grvJ}9*#yi80?fD7nA4Y6GZeNz4( zXmb+e7V@?fJ91(b{Fb6@bAjW;$NtQ+scnyc34(vF|?`%lM`eA4{%DVPCxlElEg9{B&W~E5_&$D`^ z5vU0vI@$$0H*8Wmt)^6xO3Lblg*Xcpmb!VXS*JPk&jhyC#c|{2XxNs|=C1AD+_Q2s z6xWGd2~?!Z>;DSzCux4zmVQRWA|&*UNqjTf;)^XX%-rj^QIMc4mnV5l^}%iCcCpd#CKR0CbRsZl|yP6 zNJj&DycnuA4_#ETxr*DuCmoX~%;jsp+k8TlJ!Fd^WH^Lgz#C$A8CRfVJ^WUhe*N&L z2}fpHN+C0%19Z@L6ke*a)Uj5y^K!|sDp^skQEah4MliQ(KYAIA^YG-Flg~BP8?))r zs~Fv?WO~F_(9HshoRaGVBmUswKntCHSD}eJrC$i+-RNo-s76XZ59Lflo)hx6j?qw7oEM>?(-NgJp?K_q0VD ze3zc43kKj|DEO>8Aq*QH!wvsV`0g4=QBoG5^C;m)3lLm?Yv`TgZOWq<$#=V>jYaLnHhdDKV3M-+NHabvg!lkZEp^ckH#g3lnU7VlC7$qY-ZMYU8|GqAxVB|KYD=E| z6Q#dD-P}SgxH?wVHN>3{HW9_T&?w=^Pg#F!$qxsCTx2a-c%6K!8}Dw+CMA_sQd?wp zS&tg0{@wK5?<{6mnh(C{d%o3?4o3>EH%<}X{I=DKG)V*_n`jV&UdzD*-)w^r#FsTK zi*TwsW5(~n{8xAl_$yd1Q(@9b7dLpF_9U$d`bf0cN9| zx*%v6VWGa2Jyepk)fEm<3$nn=4kRX_&J>!CW1wv+hyoIITov;v!|yp+9OCSR`F?S$ ztj&@H-3);$!l;5=R(e-wW*zqcXwi>h6FwlP=Zl+YYA~9hh_G+FZpb>H6+M{6Fiir>?SQR-NCKOHu=k){B3r_zi!K5EEz*^x3WCWH3gYB z(7NCIA!4 z7-0zaKDcR(5*Gr9o{ZppD23G9qRmg>1!}rbsYlUAB37mamVFEKj|6iJ_4NUGtzPhP zaY(|)JFw{INfs9umlg8r*_39d$eA(6cj}EVrXf@r()Ip(HL6K#NrCEQw;xcTi2GA4 z31iu7T{f~M>b@_GzviMqMrsV+ah$=SZU%t8Fu7I)DB_s9VC0+c4F(1^mHv=outaKs zN@l;UQTkRhL!Tm-#@e%>*~&bQC27a85LdZDpx#PglDiD_vB)PSMAGDymv zy*Zp)mbdXE$VHWhaQ*cTVRxT&Af4gisZ0yyjwTkb+^T#IMJsUJ-xU_<0?_urGZz(* zs$`Vf44hL&G4G+?`Zj=q6U2@+?L$#q{S^+2*V>J-Gky)4f#fz;R~DpZKDq&i`Mn;r zZt7(e^M>m|T!S?IF`#m^F zTHbk&=lv0ID)q&Q8Y0CQ+LUve5-d8H1Qeivc!aVKfW>DE`o03FG(abNm?H1FWHmcwDv5Z9@FTO94oJ*0pOq@!;{(oNH!>oBbyy|fZ>SK# z&2?NNhspwTAr$>x^t$AR>~3Ou$}j{b4@TBdV+)1r5@xQdbuSom{@sumoy%Y5-w!=> zMZRyqDqet=-JxoW4@>VrZ#^-`V^u!?4#z2rCG*S|HW?3;o$9AYL~K-=Pi*?;1pOdt zTZ!pX_6(LFk=_>qL&9}v>k2|q;D3?JaEe#NNq4rZ1P4;&21A8V|1r#F)wr78-gU{cth|+>d}MJm5fj12~HrY3q2gc0Q1W=Sba%y#jleVhKd!D{w*PkU=;F zlcJ=2IW+F)7k;up9cb=tguA;n9_cclY^`zv?%wI`Du|W?5z%9ZE!t zVBim9`xkl8lYClthKpfa@6;03BGMOg|&C6=38g&A+_70B_a;>Vixwo_HCR z<+NVXV)P_O^2~GXz`8^9d zj%qZWSxM$Dl#OklwB~p8;N+mqRIfMfY>AJwN;Frhp4YwS`e3*Dp-*55GsmxMcD8wp z!+AU${6mwO0jSiRh(}A9oa+s8)m8p&m;wEx8+6L)%lOF#d>QolWwna%WG`!(OpH0hA|Y+u89ygxh3T6Y=b zWM>C<@a|SF+ZrNs^YgzSGWoUXR2g)6{c-(ucL4i0C}|#;v?Pd2o5zv zTf~ebu*0ayAn`ow_G&3{t$-Zdyl!hpeW%>gkqfM*Tqd>BZu56^TjpViY{4+`q4d8} zCb+JN%weAX2FS5Zw8`hSg-EMFTqyF$emQ6hZ58dfQRZaR&wcKa_TO zy<>lR2(9e`u_z!D)uf}Zrw7#6V8Ql3-v4uq{<@7aJjgWc_IVjV5(0WNEEfuv{lN`L zj+AaHJxhsW?A-Xa#&;iF-EG7PuC&Iw8X_qD5Pk2WX6pig5gLumQnwt2kZM^HD5 ztP?JhwR~tZ{NW*k4wv()S@Vo+s3KH=W7-<<4$elf;F#95Fu@&x+v1qG8w1k-In1>V zh>*j>F8b)NSy)gjP}Am~UT^Z7rYpA}Tr9P^iz&~~5FJQ{kk`w%cE(UysMjfV{Y}my zWj!LmY$c}VixR<2Vm>F8t%prJ#d9{MU#){odB&BPwY~)I074c~h(d1mQ-l|B#EJ(sH)IHarV^Jev*aTKf2KQ*~Gdwg6?TLfVf7mmt89^>|E7) zS3l7)x!F0X{mG&J#yu&deU1?@ZH1H#zTIi)>ixa<6c$$Z*8@9?qsu=rjGB0UVaO`3^Dz>tuXu;$7#Bz zb21qB9`1zTzvq^}0UaI=uWRd$V@ijUM_1KpFPP#dBKjv)?ibj53!)r^N)W#NdSk;!GP_hBWgady!0Lzn`IKjAO_Uss&nt6@Xck~0pyoe2WN}o3pX^Jn z6<(f#V*fc?n*Maw`EN#6NcLz71knN9kNqbJB4mrQlgFMK zrI?(uz!H#8P;pRoO>U#;_#rE8luto~=CB+ZzKcdiMtgd7sI=ooYy5g8exKo`pC=?B zARs9CS<&-aku+cP>yeHNl~BOzzq;=G`9D%FP!xgu6ca$~@^yAjaCOt)4p#&wSF5Y5 z8C;H`E@heEhZIJ1Z&7t754H9`<^tH$I*+2O?^7TyQKn{o!2nh%PoWXz9NQ1MB z`w7bA*&r|}@%j#TwFP&S-6;&>?8z0-!N)-6Hf~M@yi5lOfuWyV8lU`pkP`Nh4*MOuI1u&KBvO zi?se&YYh4Z=LeZx@$c*L=sl*7o;ByQx_IfK$43RhaY)_{gc&)l%qU;Y*6RG=v2M^1 zXr6XTGHAdZ@zWMMVs%$pQpuXsUl<;RvS-b(R#DAz=Pedt&?Bq3yS))P6>XGc_UA{@ zkO$i;NmX^3iU6VjR{p~yzoQOb-L8n;(b7pBtz>>`xgEUR{#KT%>C;^-%TDgJC*NWd zUpOg_X|v8yv)9wU`Jt5xgHs`%kUVKBP(ZW?+X;OAaYRCbK($HvHI!%j@Bi@x-H)s( zLKot+Zpiq2U27MqeB%xaiPg_6g0?%eRe5>-``mW&cg6->$$+|=no`aMXd*f<|IQ^s z`ow0GLqU!2L)Y*LqVe(n?_#9wFKH5zxkun#S;OAo8ZAhuRi$J`eeCtkHxT^JH%-qp zE;J;&1b!QcL3HC%V)S$@68bv1#(_4WX701R`uMR;BSu;gKSnZ(;X1(HKL9bEPS1O& z`auzKiKHxz25-c>UHa_1ogHDtAdy|G(2{`JJ%~&LC-1_B#AwEa0G8gY!;ATT@$O6R zTGE^ROf-QwqQMWMrr#@t)Y)7Sa!owz%%utOs^gvyFHh{zxTX5(a~CipVA?D*(Vd?c zH_iF%9-YB0a8KDL+92j$;})0K1X^9cmBh|BlunfN0{Ne;NTv&tkmsQGic5Gn66|re z5*9~TR_j!Y57!rMuV=T9)bG4!QQ)1StfR@8(N8k(fl2`M-p`l+Gd|7DCEUB#-U6=q zZv#76rA(OcmI^@qzjyI5_0RYQY~>LUyu1N^u7QO*gPN?}j_Yk6+G?bI0T6>&NBX1E z(Nc04rWnV3xP%D{|6(!mXS~1Ig#R+8cfkLX4~&7eiXn_ZSHsJ2-*6iG-8AuMzR^5T z%7+zoLpB9jvsRxwkFTUWad84{;PB_$6n^b^B9?2LraN2G+?HL$QEQrx?@;iuU4X>? zKOBrn1J&JCc%;U3qhg_76!rMynzLS~qR1Ci)16%Bu>^=Z#Mv~u9SG|FC}xGGj#t;d zg=y?TpUv&qWlQ>)7II@ktN}eHF#c7dVMv((0!jGp&j*>B6@P5st6`r5dtKW2 zd3n76PF=$-0DM*FbieH{rhAp7?z4<|g%i7|_ZHa6J$Oo+rm&1h_N!(=tw(W?^1(!{ zMZEM&1lEB+*Zn$FpyF<0X7P%9-a2|ZR9?6?uU-~44L7MjzFvgBN?y9L1Wxge39va< zZ0%L_M3%{MS_P3qo1Gvv+l3180|Q ze(xiGc90?Ogiv3vKoDZofBW-a%hDbKpju*@nyd*q766ww6jpq(4UoEj186Y-M`FGu zNg>K;` zm-DbzGWM!XpIKBhNn4a3pv0#o_5tqi9jJ-VD_mkSka2Y3z|s7o?~_PjE`GGbINms2 z)I^d`q0d&&!l1|AE``t?_pVSUo~_?>EXKj`;>6~Bj2PhdnX53y$p2Aaxo!H4K!DAM zJguwagb`qjq&nMrebRw|uIbH*!qOB0ZZpI8JuIQGm;Wra=Uy+;mc~HaS?ba7^Dc#^ z=?v0P2egvXUZjh$?8${|E43{=k8fqKo^UfN=Gx2i_K-S>;WUi4 z@m*aiOxHiL$`|(Yc)2SoL@9E$vX5y>{uN>ARw5!loK#s^vi1UjeeQcxX?OT)$B3DO z{EPlC$*BaS<@Y$eRds0BuJ6Q0k@!K6{oK*F-=0LrpSVmdwqGnDb2W2EJfNs z`hl)BuYmJURBMTS38%p*hteDpDx4mTfO2vMW5`_yD)FZH=hSl)$)qZnb))>0D^gXw zra)6~=;aH@CLy0S6Q5Gze|9b|ZrCYF`fWwTtdvudIdcpQRsK`I0B}=4#OVUS_zHLN zhkyE#Ej<8htw`m-TlrRr`)(Uta1(i`8EtDh3YkxX%H%pXy#txWB#zbJgGhxpKjy~I z2Y0~Scn747z7R$&=Jy>e;J)?HY;7sGR2y@9!mz!m{LsB66J>C!Pa4`2?`_=utOaUd zkMCQuZvRrx%4%7t#XcJ3h0Z0LDTg@{5zv9oTsDnN7(Qlyyvk;*Z5|K>I>bSg zt_&d^piT?l&)oyK|89s>lo+)e2flZiDKPMtn|F1#m`F-JzUe@JKgS+z=oxc}X$+bxL>n-&Fyyv;iMr z?a%OI(eR_@>#+w&F9UhpHJY89sKL2y8!E!4hg3Whp#YwvOE1QRasU zF6sxK=A^B@V+-aEcAIv8&j-@|c%$3FaD>mC7`* zuF?A@(BX0MIlh18^%bf9%5l|r3dYdPZ;5A+$;SP{%_^wNn!bAP72kL}FQ&w&CQ^Hg zBc5|WJ1-LRMQFqzQ{!iiM$m;VEGfC;-fon-CTJyVGezJM5!_6YQb>j1(*Z+c=z9~F zGuRo9-Rf?@WJrmrr78OFQGQnXIu!zjmp(w?ZGai*ro0Lmb~iQ|)cjXjs33t~A8 zg+cebw&j@S(#PG^BbFyZ-#EH(wWdE?NyML61(HtxAMpy1i<2=Z}|11S2qV}H>@ ztqnUXbY>DvICe{6V)B&!wLJj0sg(&8&@$x~O@XCd$OjGA`~jIfKBZNxP72-1lRuz;Ckq--hY{Rb&jN9mU34!Q;yI>-lb+z%jO4B#~rCp!I1Y8TdG+TVV zZWva-2SAP%YsPlQHAX;4vn6+UOijiu^#%Spe-AX!{u2=v*A_;dP- zS0MpkL0=|5TTeI)wq?bFOB;^T0>*GVcLCN6&h+^ZenSQ604r{Ri;+YrKiORnzs+iD z0USlRSiu37yyoUSWs{G_$H#{jVpZbBhRzagdOdzR?|j^&wW!8)S_G{%<@T2{qC-mY zk;y$5g$5}e;ZKSBNbTrw&2HQ(eQDT@sZw3FwCcl>%#oyvbm)WNW*E!dW;+ncsOKA( z^GZC>T5)+~6Y^FALp*2j=&C-8G$QDHkrSk?RcsCxSvj^z;+ zHm|9ZG-!qKy_$sg5PVA91-W<|1s%bnS5%N^NS`6X39sCwii!%LANmQnN`ZEfw(KdO zU0az=w2bQ&vkCSnb7OImO}(0G8!(dmHEk2OC^F#cXp>j?Y1ip=~d)FCZWF7kWFG9D+ZYEI1?h!-?udL`+F}OsVq)aH&=u z#=9E%vdYbUU%z4pQHLiAsWe6nm;I3@r2$KMU$$$$4ZCg8`aiYN`?(QkvjN#(TzoVwyHzbVN?X8 zQrz%^72ayyBniO*tN2aDq07r<%Qn#Z1+EThX;R<*D^xc(v)0BMy#teg_W{Ccb~ z{NEW5rDJAmVZb+g6m9nyo~P?S`?AR{NjkQ?;XyEyDl+SG-j_3kmc0B8@31bJd~8lS zW(Z2l`yhJ^kQ|QL?Ze@5(#SiUy{>X2+@X6wV5EAy{)=8VdF|P%%sPI%AKVt1Dz|nM zTTmB<1gE>$r;D{tmqtvXnIak&e=U_t65>N)d97Z z+xDIjPB=culYotBEvRbUx;8_sSO6#Uq8#fL*;&jShd>NfVngpRk7dSA4(lkV1)ZQD z7vzes(G;s1bpB?bHCRCqw^9>SW>nqCK2zOjH3k7be(!WA+RmJXy73>1g!}Kg)@*|* zrE)HHR}|)3;c|WuMddQt9h$s(PuuMRXmB6F-F*5w#Ubt$GhlA{ZWSQed~CWkzys1_ zP_qmicdp#|cz9S$w0|v?Tt7|meEnAG5o8D`;@hZ3xhj-jF&dBctw*5$mz`+ZTezp+?DxLC=K|6muJdi!80asUs`F;Wl z|BURg*SvtZl7k+BXDdyiZnDBX_Ypi;XYjdprO`Kzq|Kk1#CKk;n9=!>`tY~Dz4XCQ za2sL#n9S|HFh$xbvdI0ZHfn|LjI%*(i&rEMCxCplg}53s3i2ixspVxaifIFbyv@lx zc+qw+IzRlb#ic9759pRPqefmDP;BV@CvI>A0YKm~H2?LJUiXBG4$KjMhVwT{y3c@* zv?8M@_8N=y7Z)EQqur;1aAS|nT<<44y{Ob&T8mz&C>Dy`J>TP5mmq{7IF@tRz0-RI z+53F)II{aSOp$`zX5YEq1H0Mi!Y}#4PNqh-w>H9z>)2X1Z<=~wAQwM1tSPc%`r_EW zoQQQBU8j4;VBJ!rr5e4yS@Ndv%a_E-+W#K+I<)&}i(kJEDf(^Zy-VAF0ei_a=l5Jnq4|*(2p|vC16*IbJ`K=o7G3Yf-wf$7 zfnT*1XOjtPI5Z$C3LYPyoO*E6IvpZW>vcjcvAHO*aoaCk{zB%~(yTDG>FdwGQ_SEiD$M#a&&74A%}a zuXuA8Q+o?#t7!NK+G7Ir_L;R!aj+rr!W!{`;B{HZpp@J@Z!O@F0e1K{#{P`c2G|}? zbE1TwBW9r|3roDYKlL#2J%963)SEs8U_9NwD)VxKlmU)en-)T%e`ARa9U zOk089w=fp{V4jJggw;6tVUUY^zC*TsG5=lm15+{GeH&&NwLp5d)e!p4CFe61-D2M58Auw>t(ec9gGihcmS+>=sFI*)Uf z*Q=_h8llhU0>`hz;o5J#&-=?rz_7>#yfa~grWjXi!Xsz2A~-a!w-l6Zu{J*WCb2Y{ z6iX58aF^ipnHXnxbi_=b4@=msrr#RhCChpv5R6=%CkBB>SHOY)vCIwKBkeh3{xMHD z!-am3WgL%C26UJX_Dc3KAKEk!TB5KXP&hn+h)<#$;VBWeBKsuXqC7TQ@7&5U%ECpI zV&ma-G{1RU&j%~7sF-6lSdNGai*y|gu|)r%5~y0}44h|HCRI^SwzvhGv>t&2J)Q{0DqUn`#9x zc=V{qO3X28WR(fD{IxUx)6KSB!YkP4z4}EDZjwJJP!?5(`fc**B;)?DsG;rG$pgR~ zRZZ^F0t2Vo*^cJOE9S>Yc+u=SvcSpkm@?ww&OGtu27fPzFDnM ztGE<2+a_LbJ#%|U{`jId+A+0!1%{y@s?(MFu^f&0FC?hNO1b&)RH>0&9D;EI80_!S zAd;!y{5uj6YiG5}T&(JqmwxTh-}_6$<|A`0*1%>(>oz^wA{kdw9-nGw`$qscl?v10)Ol2(??L9UL5#^y>g&(>6FV6>5TVsON5DA#oTA za7Q+MjEnLfq3FX#(ktl;eNq9!`yuIh`N@GH#}x!49qe<{ZRB!X&&{AvU0e_psgftC zgSBIKBoX##CCQ0{TdutZ`~?ewbPphH>4w zqDl(R8z0TR7b?U_u^d5Po5L+bMUWx%8RfRh+>t0OCgnAtFBl*M^eFydU>f|DOIu?GAML9vyD1VNh-1@@{)d~L*096@=zE;!MKjLa`qt%*7vtkY+_D6~x znPn>of(v;${OK1Axvnql>QS=bs4(`IBvM`d>5%6#w-%1)V(U4hKTK_+wLz4dW%UX< z%(uN4{qHKb`!kL4IWtzkdViT7A2c-H`A2J;TO<|g6?Gp$_^*oI-QB!5-*-%~ZLT;N z$qg(ha1c4rjs6G`N$^xuSAu173g(i;nnZfVI#*K-{@|K_R4)bt_6YuA>+3nJ+)x7_ z;Fke@>1kmgkspP%zFU#O3Jf5O2YgS4wzh=~{1&l&QanII2eb z(*CgJzh(fM=LH?oYtb03VlBp$2p?0IJ0((%O_;H~0x8evluEw>fzDjegkg<3=;?d| zWk%8Ge1pW3M#BO%wUO5(;fk3qi~2*Ev{+C3^3;CNbR64tvST|M8OeLX!War-wPL*Z zLaeFKTV=dm)D&V8%eKni+P5!#OEpn7BLVupXxqODms@ z74!Mq+_le1{Un?o$2e;dQSsWe_vK)ipq11gfc|O*q-hP5bDqSXIx`06=x2R4)C<*x zXgB8~nFY)(9lSm+spdn&9E$M3P6g=lnP5vmns|eab)pa0@$GI1O^EJq4?-R?BF|q` zJ9U;FCm&O*D7uKQ#>U!BC6O#*!{p=M0omeK%}%&xgk(86@q!*!vSFqE|8mD#ix;@o z2d*E2PjjJXPNFU+lZVd`*syFxsX^~EV&C6yF2K&`o*A0s zNcwgT;O|nM9h2WmNz)@#PfoSvMI(EMhPaVLAPKT$EGlPe!e{ho%r23ypps={l7t@g z`A^6$ss3HLDtStWoVn*|lOq@J)-MVz`EHd3VoWE5Zw2_AWTS_irGh~o50Ia8-cL4OiChzAqQKu z$%IH`lLgN?G>DSVCdZ^gX6yVBuNufyMN^_JeY_T6Sy;)H!=fhehoB?b90_T8G$`2y zQgm&A3^^pn2|;EiE3)l`N*65S59oA?Dr*ItNReJE0vY%Nl(wb_j~Gwxm_13i*%TJs z1tYPV2baGo9~J9x%83N|a0Kd}kq$IY`e|M}$DC0`rdIJPXFLs8ik6r!tOP)Yt3a~9`5~=YG<1-f(`rhjVtrdR=R>Nfc<7PRpDcc%mof-lK39SoX2g*vHnx!X- zt_tfWnyjZtUzcy@@g(qhJPjGpGIDJ^BtBwB-=JD&x2kXR5dvIdgcweQCAo=%H@t}^ zIw9@Maih1o20PgO@4K<`7An~j+NK@3MSOB>;H99Nd9V=s6I{CNdq*uv6rBsm+Q|H` zwVBCXrhj3JU2sz!J*bqV)F@^o3M2@C<0BJLs@$;s_800!;+PF#?pzwblzM*XAREr= z{f6MbImVH${6thclyN(3<8_mSRAGofN|1&y8IARkR?fqe+)tts{N}`1NfNH6wzl9S zG-v0xKMfo{osrxT1=WD?cdRQX~kOiu~TmT;gOTj0;1Md5lGx4&A3^+6K-JMZ-r(! zT!cyv5z$pBFUyyW=&`4{W|J)3HF2Fq#%j`){UfdXNDuXWHM3ZARI00OFb<*55CxB7 z(ak0Jx>%fk>_!~ap>+~Qi!rWs5?MBJ7M0V@FR4`Q7t-2#*Wzg#wSQHqlyS#Fhl-3) zM-=U=K9-Odm$qiy={MScEbF`OumtpoQHIzD0s5Od<}Y#Cv<)qSPcY4pH<=2pp12TZ zO0hRbC|B0yM3z3elcy5nj^Ca{~_CbNtKM1?aic260U%6)^e$^|8xXc0xaB~l?vQSQ#i@ybtyQuXqD@4i8$esMk)R;tkG?@WG!;ix_JGK#SD{uv`D z;h?rTg_%$8IkQCm$U_-EQSk3@ZeR4epCo^3YZ@#YlJ2D~{IOj0by%&H0<(5vasA?n zA?D=L#|?w!-9IQ@D&9!)QbiE;x^;W?V>FVLP0|xM`2vNcDy{m19l{_KE;Ds8P$U!W z3C1GI8aMUcM57n7&O{Cvng@`zYwx{7Mj#fTlrD@&CrVN%(>>n}PS_=(Bx8A5p7XaG z6p0{3ssjw~#PYjzcak%QMBZO3hlwfls5)8vL4O7W8iBKic}dl`JJ$XNWsXT{@%G!^ z0hYWw+S|SUU8Mb4IaKHOksg?1s>}*EadrfaM3e^89fWGXCoMWiZ{KIvYwHZ8pY+Ym z5_Vx)F{#t4(jdlLChv4oidHl6iVi&`@^xOW`42u4sDX}@wJ{I|om=?I2FI7mKPctY+D8b4EaS%f^DG6f0hxmrql5;;#n(th z?T7Pqyj&woV=#dP>7%wnKxYy&PiJ3!5ISN7p?Hi=DK&VE+$HshO&Mp^2JuuQ>qyWw z(<~cXr;-NUM=G6sJr#CnAEzdS`Y{%ZAu1t73`7T-5OuStSL(N=@2OmC4#zh>FyUU3 zaIfxa0*6DS(-dQ^2b2UudLBe&L9kSu9WO`4aNwFKVWJ14?2(G(R{67xz~)oyN0;+C zsAZ#$1)zQO;VW%`ZTf-AFh^q?}ne=Hg%PGvT_MkT%{KS z+MrnPY7XDEA_jEMG+wV=8x=b`pnPITgGLS_<4bMJc6ZaKcdg0al6ELujJ`~D6O8GVVF_GkwdZkKtDLx*34cAH_d1lD{=AA7E zWx4ZR&49O8lP=)%)1@*F`4HE%GWq$7 zwe$Ut?s=p-189}Q4WEz8!QVu%q99|1`;3lEgmQhJs*Qh}H()u}@%_ea0Z5*@K&Ezu zmvg@Ct5Rl=pjrilO(+KJ`Qn1!Yt?&jG)kh*NhM>4`jAuCkT+0nCzTAvgBTfwL9)^4 zvHmAww;!b{AzkWrn!1)@_<$;&SMZ&je)2r=FjA;9%)0j;{m!?ZXfkC&dj0G3E=Bwt zE`kk+7rREknsM8VDJUe`Bt8D}`Oo?2$TIS^Z-EI?Pv)A~rj?rnPI$GyFh;g>^15LR zU~Lr&M|3wuPAexl#Oz?Vp6cZv9G>X8%Fo>>92s1no>Y|Vmxj_00X@~6LvacinPCh& zoqCS#dJWemTFmLkpqw(1Y2}R#x5A)_qZ?H$p%z3kLNiF6^s|1D zD9wm}W8x@`qCYBU`uF=+9j6F=3*FJ8$X>O&Cd|X|-|htVxeY4bXui`yVM8FkIm;4^ zT+vcLRi_NY(-Bm*Pm=A|gc;YK!-FR3(riJMQy9|_7oC@rJQ`zZ*P4mL@0z0#)!}Pc z#6w|$ZHO7|vz0TQa3{)0d0|h$atoMN{%m!i?0Ay&-Ca$ZZ$8?z$sTfP#(ZOBmB2PS z2 zX0n;UfxIb>@4TzsYabu{xfyfXrb`VHu^kLHpux2^ei33U%2wL%#}5cR|38FFMmNij zm`~5X?AhOfTm1@U zXwtr)S*WMB#_bh>JBm)-)bL0Y4|o$BU{X6fF8oBxF*H0il{;L#}fC=9FWwkMGHUa zIzQ^9V^3>MD@p>WPymM5mL{<}4xN2|MOd-yU-GTD%#pX7`SHV&!q0xGe@;ldlAm+< z8&q5&db-)*Lr=$lH>FXusWP(^eNpU;=J2t4x2lrMR!xdHcL1iHF$BC!rI1i zVHQX`eC20d7#$Qn3B;-3M>|&*Z6JxDUnltTJRyTPpeky<$v*Z=XU3Kbj3p*0H=0Gf z*7KZ0dzEOfo=#lX7$*J`LJ$)bt(c79)=outyYaprcDb^ol@p#t>RloQ+ki&44@z@l zGrthcJP&^X3yho^EHe#Y4wWyB{)cFz)^K28tuVv|Jupxy;=UvrVG%GT`A=tSpOY`S zM@~s?LZ^1kj|%5jkQPbwSsJ{XBqpWjma3<2kGbDKq#E7Y$wcX(PU9JaJ7Y0HC<6a| zCqUt%>6NySTaB42T@CnRKCnSriWj{hg%Rmb?y2ackDhOxI8^%V(mHI@xbOhi^7K_A z-aN>fMOQG5(4RxFB@)zC1j((BRlDJC<6?@>DA9PjW>4T4HcM9J9Yw~ zdryz*(DCUSLC-nStUOS@pk zv1~pxt+SRL0-8c85e~x?xyjg82zMnxDJFqRrTUp(q##e>u7@o>*);LYJ`p$5oS}!- zO;U8JrEd36oGrbRIsuNHZNiGoac}1I2{Bh0zje|s%#+g9ln@g!UaY$ABJMag$QAK% ziNki65D9U6n8CK;31=$~5an|3cMLE_4}^>G&l*t8kGf9(nr&LNX-Vriy<3`B%!!_6mDvK`iuvEUaA%--?{fHW^zd-JrI91f-9#35PJsc)KKEWc z5i}Cg?+2qjg_qzQQOIRlyNRO69v1NtP}=%Mun61Z6oELJupAw1OF+3yPIs&MYsF#B zOj;B9?}jYRBX-lD^v<)jgJKLk)N^ zOn)kU16D+%y$#8jcCdaZ6AX9AJ!l?&{z-JUm|^&AuEnY1&L}k8gl4YO4xh+)o$^kF zaY&Ly>+sZB+i0VoY`zUmca(@6R2j-_UQJx<|HsieKjiuLVK^-t%Wm1Wv20sUHkPq$ zTgz)1YdsmuwykAb@BMxIp+BJR`?~JybDigL2=?Up6nJ@N^Cs%OE2;)obEu4&_ztBb znDrG&PXG=kj6dpn{X$X#eBwRPSoHCkxT8Ej$m!K!x#9XkBBsxU+ToxfC=i`=V(-50 zboLw_*%S@27O$i7=>*VyNl3ZM4|v+o(DHczLIVkFt_P2^bmns&XqH*@V}A1ijqt2V z46}Uu3q^sIEIaozo$t>lz$KCw!AOijX zNZlY$cX#*yYtl2-uG>3n2TV&+zB?aEPdov4>Bs(``dA=VY1d!@E^#dG)f6w>lsi7B z&w=c9CcMUqVn9W>>og9H8fiT8?H4C(Hr8gm0rTx0XOuRA>%_)i)1ZCzJc-2UD6$Z; zD&HR|?^7ffp9Z0wnJdh2xnIPBmHDu=1XEA8FFjg+BDjoMgLob)%JpQEXFTnZl@0vB zIBKISSwCx@G~pF7IbEt2Gol98;PLw6rqou}pp$+n^ed(hIsK)N^iS}Q&Ha@X)My1& z9JA-9`rG`Q7mNk%)S$+k26iu%$doR;S3--5qo}Pe{MUpKi!B(oEO8Mk1z7lC={M9IIIkl#3=|y%yO{%^H7_vaI^h_N^oxrBLk2?f3b&rQxS&>py%2JrPsacWQKMiyAsn8u zV?RBM{)N(z+d=-W9s9r}8f;kBuI#Kkq}DI0gyB&m=n2+6`>D|>b24po=TqdVSFWj1*{wQO?V7?i-CyuvMg!ZdAi_=f+PPeP2er-RXV+Dp(q|gnkMp*GnCqsAEA*H_C~Sgf!%2 zo?< zScx&h(OBcF6mudKUibno^o1SQt9#^}Govq&KS<%&i36_VQT`zWoxFuvqCse%4aQomJVfpKhmz&Q?ZHU++dXJ` zzN#c1mqQB`GEB`9IO%;V#?t?kgbs`@7O=^+PTmxtR4EVpOc{r$UfoOa{S(4NrwJmH zN-Cs&Sh;xc#GB4ei__aHZu8%HY zwmi!Baxc*79}d(!=SQzp*5P?dNfT%`h<9McA^>MOrQ|T*Ac|kCEwhN;%L5rgF#>LMmTgs@P219b2{=0)>AN5{Tp}TCy5n2h~ebY z%1VZB3ePrgKoBb6Qw5wvn@Hx#@pu(l#UxT=kcOo19&T?B*cd1=I4)dQe9w*f*x2Uj zdQ!Z3n+$w+6O@765)m@mES}6`_A3MM->1luBYT*S`EZ+j=$3dJtc}@;ruqGpcfW=KI`fL7*S5pH^CEb&yk3BFUmWX@ zxF`%-aGSGP5$U2MgR%Fx^fSqr;mCz-+&Up0w``N?qp2ATwe*1@M8E55^8(H)omYIX zxd*`4roN(C@MMfF6buSR66aqW`K>gGfCmjmS(~M%CbMib_8NvOd*av$4CQan3lKyI zm;WC2TFxNSX@}7U*p}s`$=@IDPMQNKMi)s@9P6Nh?&8b#Kx@Z6p`X2!MgOrb9!{_q zRcSG3o1Hsr%cR=!jL@ET^9vIEJ<<=h>a)iSznfo)ZcKse8HGu{Ocyw5G(o--J){qS z4{wVQfXsK+2S;R%aARuDSVNy03jM)WS?Giw1ViLZtp7yw8&PQKRsK!XosEFSo*BArlAFq9RQi#P?VgJ zf%1iVHIduaU)Ej=_2c1a(9b>=y@cyxuI!87*5vPy4II?kgt z*!bIZ#SmmQuE+K^MEC+Fa|hc!G8p#DS{(Po#2w#9v~n zHZf@!vc2~cR<3X&)LMqo!^LMu6Nr|yzSU_wKTe=mU6ng?wtipeg1he1(Rmo1S9=Qa z=TU5rU-A(sTL=i`jDvuPAm1U-UAMTz&|4KOw`PDS6oXK>nMVyK*IlvyL;}=i2Ap`} zi}&O1FEFh-jM^CNezNf6_}pYn(buiwY5VCXF0d_`lpv+uJBtKcisVO_Ub+S3iv*Im zOhzK{jAFO<-k8-p1H5~!+f+QeFwFg;hGJW-Uw%(WMg2D9h|@-^xe?B#z5G-)lz*_< zNi2+=@CPe%c{bj1Yis$6kyvz%Ipssrl6kaHsu7E3G>Yy=6?EmaHe%^e7^BqXny*HT zS4p&*J~Z+TjMs0up9=oULxwx)Xm8>4D&EXe)BkMmhA4u;r`3XoXcxd==BTdRduhVS ztPssFT^x(howU2QIw@x8vJ&LX#un3%#hPy*^l&3Eo5wmUpe@PDyDDEUsSX=Vrjg6> z>N4*rTEABA2{lkUAE3GNB}j_hlC4F$PN@&W@F+5lWit1FQnOb$Ehf|V3#rck0VS=G zn+uX+xrQJo4_2TFC2(L8-L4Wnj~oC>lO_uj9^LI`_JE_|TLt_S6xBRmu{|L@z z*JwR+6+A^TE)q?zWJqzc@cK?w#{Hes(lN(#@cs1LA3KHo{Q4Oi536f+g za4B9ET)4nLp+8{dyRJ{D5cX#_vtf4m82b>D*|4*E>9pXVae$b4SCH1&8aQhsyMR8m zfOs7CL0zi^$di#X^+Y@QZugn%g$BX}qjG<$=GGXx4aFJ1NqIpi0&BFNurYH6ut{W1 z9s;4-%6Z!kqlDcS17;xX|KH9;R_gBU{U5@=l0pc*`H{S>WxA1Az_hW!x}AE3Tz4b% z*wG9cBtg>nav9EPu$(q4AxC%UB3yv0?`@7g32IC|J+^g^_$edkD+Syx-5$(8B}R{R zXTl3yKCn_=l$&gXqNfr32UpF8snXFYAwaHWp<)k?vo=Xjp=-r6d3&!c2cfno>EI;Rs`I%n6PJsG+ z{QXgkCxm;M;oamUCd{L*WcS$*pxv!!S8|!a*LmX&U#iLv+oKM6Xxf(Ti~Wr4Ucu3g zf3l0z6PB%>?ioFUjH&?N|r|t1P#=YP|7JFmJydK*N zYtm$Ie_b<|>!?*D)+R@eK(hH>ZptFdSh$FZ@7&%bnoKLH_r)h8Hkq?wneKg*|Lto8 z6u3B@VW$<-`{C_NEuM3^84G|SnpjRN%5Ag@=aI@ufaVeYWc?jia_34c*kP-93W=hX zW(zBPpJd4JJdfe||E&Wc$P2WZfWLNG(=slSq7*Z2hX_PzXi^SB_w|4h9*FR4a}09= ztv*(uNr?L!Wopb>Oe3lge)A}=D$vPC?%T=`)mKSrq~_&Sy=V~qtAi{kD}UeUWa2#1hs1# zE__K`G`T2CYz3 zS0pd2lpE`DN1!0kQkNh+6-R3}ojT`A{PW6E+wjR54Ex1l(rTFr$FOTf5rs{tmX#p| zP<#U2K2|%Rj7BZfNBuNg6K=ICb;U7M#+i_RVE1-g+jHR$@L&x$r^i}!gv&~er~8c! z;~>Y{&fmHz=fqlzs6vVS<=clDC!pEjfx|i|z=IvHNYyJ*ukYzth{qnG)nxS;opMQ` zvRDZbCbNFLZFV8@xBJ;>xA`^bvT!4Ho$0hB<{_4Z$K68ycNSnUL+x|+^E;*7S-UC3 zgV4ICe^fB<5mGzljR#U##DiBrha#qb2Y^y==e(U-iTno&+5C9h1o|L8=>UX9aW0Ik z5pAv9E~wU!Nb0f8RQkPZ$2hcl&E9Qd*}lnj>qoJ#9AFE4{pVsJW@~B6eAsTltS;9X z^@mlfkV|+Q5!r!y!c|}Z^r(G`kAfSSO z-aIrG^*d774!EQ&39#jiFPx;gfq}(eeoqiJ-C$AK22ZewML?!*Tvtc}VTX+&Cq&^l z+pE-+$Uww^!|rJUL*Rz*Oq|zrH{8Od^l_R?dKYu`;7Kt@?KkFw^mF!w2>dmxNX0V; zy)BC|4Y#v<%+|W>1qcPPuifK`!D)Z>!9El~>l+CM%U#h)^p9iCFylFq#lTB6hvm;agM)DwyJ+Cg2u z)LFp=GtrecptxdP9@$O;eg3N}HiGU-H=f=<3D9i>5N#R%qWDO(@2ACKH=C+SQT{I@ z_Gb2!pS^;9I_vPg+6gO&`~Z3)K)vjKXJ=<`&tkBDC!xz!^frJJ4L>y}WV?GToKxqj zemvatOuu08RIHzFnb&AvFne5$0MxjLM9FvP(oQhA_e)2Pq>JrRcXzDOgweF%9|_54 zg+}fIcM+){!wPu#f-2P&5sIlS$=%gjhvKS4-*H_$O-zm-k#vWG6Ncfv%>MlYuc;%6 zq|A%Q6jN-EmHj;y9pB3o&91DRR(_}r>*$GQ4e8DE54==iexmkSvtW}ysl2o2W*`i` zvFFbG(#VE`MOmsbfizBsVsm-oE%c|fDQf7Op`k-a0~nqq9FhT>PJcrOS!*3t`X!!B6yicet2-!MjZT}lPGKg*O@iY^J ztA-ODgRo~w)fd&?)?{TTAjOmRcb2gxt27J5uicnF#P2g%1t;*en-KGFsu~xK$v`iQ zR6>GHkfES|Rlty~h;&FGwO+iP=V#tcB2EUXv1p=1Q^trl4x1rDmXG6O#6f?4aP^|y zx9>p8acQ${z{}I~K&JO`0ul{b%%dUY(Xr4D;*vn9!1a0k+oo<7Rl+jU`G(zP>VLUk zQe>7#fU_5F>ILvj=I7^uAZ5mA>EO6PrCH$9AQ3g{;+31!@9*ELi%PZwF+pxmoDOXNU|KhxI%2>8=*FR#$DCc)&_|G z=-YsVYBA=uwqR`k1hzfiJ#gq~He>_!b623~S0jxtxo=$Yy8w{Y4bTnq0HRCa0QrOZ z0C{W6s8{6UMkHq$IJZqKAN7M1Ba40>Un#>37VoXO+CC@OU=#MMQD0;nes{XlJ8H56 zVy8qO6-PP!%bojg9di0 zpzY0heosMh=y8$}NXKsHM{1^@T~~bZ`SZ`DEMaW$Saq!L3XT|RgHSeFO-Pj)fEWXy z2f3$J4@fiG7A18kciie@$tclw6P4X_S%6CF6_n7il>fce|DLIfG#^Lh#_=&NnF#`! z<3Y>tck-RXa`)b7G)I`?FR-og1X57)-T;myzhQ#0z1!PcfN=v@uJj?#hYNw)CG=}AE+dD5)iM9qjqnq;<=3@WDcqU6dkE6AlYu^Z+6%%~sJ|SP7S!{f z8D21la^!>1DYWxGHs>vcX19dQ`k}TiKK;%dDbsXQno^(oRL|C2)h$)V1NK#MVN>6yUVI7f4c1Y4q z)?r{5`ujgEKoS`Npdz5tjXa(V;>VRgam+9vPm5cV(wZO-wxY!?hZl^=KLNIYv(-P9 z^T*%1Uh+tP-2TTV34AUOLXJ-Zm}uyo(s2<|GlOI>yy07u+?DBI_zh zNEqtX<>?%zWTo#GSo`*K z0|E3B-j#~h#Z+Cra0kh!R-e$uAtENX>M}egWh5(eaGKjhjzeu2ik=c*960(1;Y{7c z;$r^SU=l%kLL5w8>dtmhjvlwIqulUFwJynT;|BXVOYN`-^6|rnFWvq`gA5Iyf2F18 z_5_btHN?b*)zA9Kf|}VLJB0eei)uYS##J2N*Z&<;v-|J+5>VSeZN^Op$Cxv62(SAc+$emtrWlq!%#9p2IZOV~1YgiC7%$|_U zSZ1&F7wj`0Nj!LSi;T$6_UqQs#|AZz6K`!}GuG1Fu_#Z2(g7lnb>&}Z!kA;$1xy1Ip!8}NfzLxlx_(Q@7ajkMN0=W0d)9=t zUHf~4D1&i7BAS8EteP;tC@9Z@BAil~G{oX8l*XHw8*-Fg-ZFB_(Ou1lnjoPyh9NQE z_$^)_D{;WV>#!-UDBcv8bp9QHtw1t+FX06=L{m4QV2FuN3xS~yj9h5C^mz;iZ)w`J zD7=f8{DivvM36{ZaP9t~+_PGFW!3Ph7@xFF#)FSj4jcVFqO3|KM4 ziAe2_bLps@@L6)wanNnPR@m?;J#1AvbPyxtdG zAAmi*%eY!gFp=s7S)Yl3Fq&ig@ z*v8W~2)7A7<0o6u32!`|F^!Cwgr=i+{*j^U%t210&EH@!(-1v#2>V4B-n&MR`Dd}a zl4!%)bxZc-&311$;H(dhPe_O`eY_rJ0X7IP@lV}7QtB>dY>l;@&m%b53fZ@2^>_$= z0s*O?wboGTAay?74xlv_su@Yu=xkJ}qd4$2@p(-*7%K{hWR|A_4*+=M&+(Z8VM2g; z-0E03d0OKomcfPP5|7QmRrIH{ByBUjkVj^H^+2VLi$^6Ri!wMnxYO?=V+_nfL@6?Nj#+_nmh9=!jl$&Z>yVPT42 zIlWQF$Hw+>yq8bDF|6purGZ3bkgDO1LRUpEWh2K@X$}uEw^~;TxFepS=H|xwlh~~4 zx`+2TjBa=Oo0VHfm`k@P47`;(Ho$fr^;xfcP}25@OY}I7l9JnkS^U>>7=y@Bi7*mU zARljUDe~vOV49lu!mcGJfGOw)$7m)y71YL#ut9?>&sBGi_Wr&8<$l!(AUMDO2dnzC z)QYu^wdU}eAW9uaN+PUK9Rq0$cd4UhT$w!%ifodlWBMEed?h?l2M6BOzNc9|JhIO1 z*h!NX%22L5kQX50?-iNauSKWZXO3TIZeR2f7cn!b%K<)+2MZ!0`fp>)6)ugcnU+y3 z5l`D9n_Z8>NxS31u~&@|4@g*;*bBr?Rg;z{e(I&x>1%t?r&};0keieJ!nYlFe1|tT zZt2o|R%l=Qo>>IE1_T{=UkHWL?d*>P9t2O*Kc2%NByz#gh(AItf!#|oZJv|Ot zYTouzzr}-?Snxu^TPd0XIfV$NHQsB{T5O(tU8VeX^wzh-xyc6h#y4`tfdMCf0h#nn@tY@mn5de@V@o5-LN48WX{C1 zpqbP+qCw!ZNe1EJ)Qe9rAA{xstq#UiE^8cgu4}gf@wrLX8)0ZKGO0_E37oY^4VK~P zuy$3||GmEUp{6tuO_dx_l&1<_L#$}duo%lJCQjMbZ8BZ(&vA+UI(%e4>~idjl5#uV za5Rp%F>TDxx~ zvepl>ecn#6LEkp~mzI!C!~V4T-<%kKJYQd51Mj^u-P<*Q69M>pDL{$30DX5q`*tuY zeDjmv1VutO2MaE6z3>_;o1yj$AR`13t+{gmxCGEb1<=iZ03Xa{r|$-u18lc=WA-I_ z!$lixjC{q=k!w+8R@x_@(dFc{bjO&7mN|jyC2S6dX4@umTkOn{(|w8hN{|BWpKi_??`P$$KNdV z=}+9c7|4x?fo7nx@{V=v)&AWK8u{cmT)q!8twX2gFt6Fhmz0yGf2f|R2XQD{eTm~t z-flRXrz^^dZp+wva$p>ku76iKxGlSpTFIBI;0r zydF2m{5ZWPPckbET1>udrD=8mpO^_BY>j|{K!kk-BGG2IAI5bJK{AfW0=76z`85b` zZg>~C-?o6hy1m6_5Nm1fkToQQk9-tM6n3dYoc1*T)Koc)guj4dT4H2^p8?pKU!^xn#b3=}I=N=Bm2}MSiP);@03TR>GXfoQP z-4(cCTdk~bD~pdEPRvPC4CPyLZ=P+1Qj2}n5Qdmnm))wt2jbsAi|nqu6NB>1?Nz-f z0S)Cc6I(-u9Bv%YCv$vRj` zZSMsV@71KB!Jc1lnQ5zh`e}GG@Z%vc(9iGH_4ex<PE&S!QwmHZjonI z3@%TQX3J*)RCAyaf$JNH8xw{Tx3{$gfgu^dKb0Wzo;mU!vEi>{)O+siGTowVGTWXT zA@0uik`%~nkka<1b}b(ejpTf@Y26RpO=cBrn``qW?EYRz^g~+bMYiDvj%?XqzJbN3 zv&X~7KTC}c*Hp@eEZ?Da?*+bn-WD`M>8sOYX5Z|h&#qh=-++pdq9qV3FGs9}$;nJ1lYgXCFrlzj)L*|XheNs*@$$rLJo3%g!%zWTY< zQxiY309QptFMM@wnOL0Lb%&tLa3s=EPswxQll`g1T~QQwXVyRXhFh@3O>u{j@u?P* z*8rnt)xMdO@@aeP?EntSXw0Gxu zK?y@bxi3OhIZUzMyS6+5DBjm^d=p4t8R2aD8ed6*vIb zl_~hFg6_6#+egf)p@k2dz!IZ<5o0x|2XLUA#&-tkCeuk2@`$#M_Ap`L31W2I%$Uji z>Q9EJE&1?)1tuP39X$Qfi1~6Y@uXtS_0&I^vG<*5&*4p$sysYAEWeaRVl*)BQB+YB zO}>4fx1C?jX8c7zNv&K-mHF6eoHnTEC@c{a3>{8@VJ`zST1q`(d?CA9@V09plyQvN&Mvu9wYw$(<`_oHt0pxpy$Sm|EB(fm{4p z&l8Obr0!z)Ibj`EN}lL@4hP>MoBqVEJ-2@KVh*9i&4Ef+q4j;fKM-Mf9^sytwg5FQ z-x1rUt4(P4*$*u*1YCqyfC|EUl66U#4(*FA8wC$$LYlx{?oKFvv?iWf;*&fAey`XQ zQSE?GVt;rTfi} z9}mA}McJkPN{Zn_xWDOoPYh)lnv&KQaC6rjVK?NCxmiXRHZnTjd#P){B4^*CT`$xg zgWgp2Z!a!Aa34A+#$V&zD2Jxhkk28V{FLN-Th?ny)sx>uB-1Z_Do%v6#6xOME|7JN zMHn}`T>2wsk?HeWe73s1ZB^5vu@c?xtc8qcT#epP=l~-cmW?Ea6L+TmYHqO+%Z_#p zAj9EJt`E2%OE2McYSpYq!UCYFSRb6yLkH+z_~9qC)e8%~$Ix)YYVa{qImwC~>4T@} zN`ZkD(CqOVxR`?V`mo9>tbEVNc=5J=JdFGIqyzyf!nq@^hm*z)-VPF1-kK1>&08^Dx8axxsEI}gXnN6waAkaTqM z)ut~I&)CN!$fZGTN54o@QX9@}VvpMw&mFXzvU)eV@i1jDT&mT^5VZ5f0*$gm$5IWY z-;=x4M4Js+)wMOS1j>^qQC1w^q=~ROOq%(UX$(n&3;Y+Zt!;ud>&d4$MProve_frI zre5DI3kzRlsTuGb`UE?1aDmdV2Ua#&YsTT129WEE=ymv{IB`NkVFH=^&Se{w*Lr$- zTz^9$rs)so+C5z%Keako+WqbLBvbf*fd!pd35A(j9JCou-LJnIbR+86`nfIIl-I5` z#HAu5v4~n4R@Dcr*C4x*qXVu{o8xn~w*|%`b#AO1|m(mI|O#lgyrz$0jaos*Yefw+JImQ^k+ur()H;sl2^wMDGAUXugJ`!T*Yw2(R#q ztDomvi!xcI@79lf!cXZa?g#|Y(W}#<|0Qj{K5Z*OUaLIiI?&SJaoLS7*;zGT1z5JB z=8l6rSq1P0D>;$9i5lZT%h&U1XkVvca^bln|qfhyz6c7G)U>ER^i-2{NN(;Omu)6)(vzm=Ei+ z(e|G6dgem}FEN&kA9<;2ByJwQJgKMcs@aC)?wf+cg2Z36l&^YuIx=;`wR4n?dQgl( z+$EgZr52<6rKA@e|6Riz#kuIUP1t$gp8So@yFgeIt5^LodMws3E@#S&AvvslDhNW0 ziR8;b60d3de$NnIVn+NlGJKc#EaNPVJXn_4i@`l+_Z2~&MtYOS!=Rv$^D{H2BkYzB znLpM8mpFe&!?>6g9ZEn)cNtcxAN%?_$|F4y!+F4VI1UC#(iq(|Gvg<}47!IcgY))l zK;`kKJ;JQ->)f2;H#$!{f`tSyvm@H=5Qq<~)nJ~T|D7Q)siFK@t^rg!QwuW8TEkcK zYOKl37(Gn2hsNX6wfM@1wB+Ta1lFmD(MM{U{KDL~xkX;OCo^+MA<4__TlMG6hi}Oj z1j*()8hPDs+C_N$VRf5r0Lxxi6NUrs;3Gmkc;Eavtg|0% z<1QakW3tnsOBU$I{)g%)2tDYnMvKd1=>V6OSy%r|Q?rS}QLOviRnudwn12#0i9HFv zH(I)68vaIbHO-#z=4|!buR`CTLTvuL62x|>8yJ4yp;%4KplYjuj9dS*2e3ew=7_?N z^Y@9v(}0jY%HMr&+0M!t>6W_b`|kW<`U#&E+lf z^B~t+E{EWJ`NT7OHRfVf8z zN@QMhFpjB95d^CxL+BtTJU*Mxyid}BG&CiKY1)M?Q!e|qRqXN(`Tl-N7f(U%Y&*SC z&;_k*y?j*@+E6qP&x$6DnJYvNeuR7+r?D3EhWzP9p(yF($g}kLLejR#^&Jvjj@*oW zAS-4Dp7pib2`Dak+|ry`l4urPc5uY5-(1^ejt&-3!_vV?_V_tBpPh63+#+WF+pL_P~EXqplx zrotcmto$UN-~Vnw&D|-ao~xl*!dh9l<7Zc6!GWRD61&@NprMMWjS)0fKnJ!UI`X2y z{ijQ!DOD)Cx}bNVKb!EK6rS+=x(93r-BAyua1*}t(kRjOC}pZQPJnqxqykTctSPr8 z^oS%zK;zx?IFrVhNb-`&mr+g+{9cdChh5p=)%(`>Wk~Och`N2_^V+Q?#g{Q(_jxfk zd+(wr^72Y^UyoI3CU8x8tJ~dVxf&d8S3SPASYWRCOF@1u8%e&;xshi&A$X&bBU5CP zM;0rMa5h!Frs(DMxW$9x&X1>-+sSxTT|{VJ*Phs4ScDq#ZC6Y^mQ_~Fq*@`xFf{vT z*48%*QOsiPTky*oSYmHO^d6G`i1rqMxj9W&dJYjs-;{3Dr&>y;dZHW zksLn|D7T!W@K(e&zvYYV49&2gQWE5R_Zv2YHe|vIEolU0ay~3 zabxPAII^GFk$?WAcMI+Qp@-|1jQ7Vw>mDw9QpABRymx4_#b00WDmh@SLI81YogHRu zWfNsRSX9y&5IL{}KFQmc#vI$@X#$HE8$UTVr(69jCowAAeP)R2SC#8iNLfiL1#^ND z?o4$Rpk;4^NObz6m3?_Eu zocfS>a2;>!5WbWv)xAqs*n<8q%GpUU@sF>|9VV!{1YN(5Svjq=mUezEmEd<6?iWhu3vG=C+D3oe zMXWm#C$4l&mY8pxD*Mmexo_?}g-P7woaJ22MLey((VRrp@3vep!9YbARPR3}4I6uS zbWA21oekytML%R+)wYsj*LsTlVTw_E5L)M{J%RGXjraxoFX3f~^Ut_^99#K)E1{U# zr-zZ6G}J-;fE%tg5A<$erI^=!A)ifw={6c%BxvP%X*3r3c)dA~`!b6+kuPz&2+S%G zqwb?$MPg}kAC$Mh85{18@}_z&g5p8x=Apy2dHuV*dUJ*7R6Phib>9CL&eg9zcRHxS z^dT{Q$HmZy1Y;M=Vk;s$PDy0S_dR=l&*^1VHy4dI{v$b#LV+PkKr3@SwY;DxaV#lU zsc2CgIbaHWa-T8qTtgGAn?P~J$cQ4V&>?RHWNBvw67au!nqnHM$vbVrnz=T%?X znILpB2-b5^(RD5ilfuC$M6DKdEjw`&Q3+<#-Sc+0mmkMhOJH286jttdLv#p>WYFmB^*B<7IM#f6@`ZMXJS{yWz~3{_ZVmr@W@| z-n3y)sDIe5qIi$X1rIPDZkGT2XB&=M>9K!N*_mBq_V-Y^x_sl?o}#wXH{1P;^{>+T z=ZmjE<(UyTF7Rd)*`jvgeNN>cmWAdwVPoQywHW`W>GAl#$Ef#$X5NX#dlL=ZB34)< zR%JizFv0Q#?a@PEk*o)&h&P&V!Pk`OG@J4!~HYVq*TGrqyt<8Zs|vZ)u`q?ebM z|LE_RgxonWeqUW6YRcN-FFChgc9kJ{=klEPK3TN~dQkLSC+u3I51w{H|6bxBZJqFP zV%sOp(rc;F$|!^)r$}VSqFv>U<~-4(#I!GLEBXGlbVciTI<2Xc5@&JyEL z@Teb8O>sk%CCDys6D4$%zo`i#Mtv zPU!j4sJN3ZpD_{n!}~iCuNb@95)hHkp z@t^Q7ePKSe;>-BZc&~YVD*zAFd{LcHpR>_Eoi{oZB$mSP&eu)++H7Sw-)!07km*pM z<1w&4S;>ibTGr)#>a$4sZVXcfQq^iV~)p ziS_xj+OeaFVt&ITwmFea3688c%}=uRKO7E<{Q2XIf`Y!@bO^^A0c3CWCqHok3R71v zm8Iw)iu4%dX8Q{QvDyRSRvBi8f+CJ#X&})qO>Il!x0Zf*&m7Lq3~prBGm3eANI%|p z5haPF1V)b#zdO-Mk^RGu+k*ELn~w{(b7fD1wjzFb)WL_3$Api^|5S0fpX6QC^i`J? zRfMOCA?tJYUs|-r18I{` z(&#f~=Z_sMf+Ar$Gw28GrKVO^Y*7#g{}nVd{=im zd0FIh(7s5-&G|*lZuXY&N#ev-L)G*k7 zwb7&c3~_RI6GioWVt%F-SsSh-XY;r~Ace%HfB{0|*v4AX4JGwO6KybzKW zv9DF0bQH_48A54l3K&B~7@jXr5hvfTunU>o<9Csp{)y1G(<441rqLrQ_%9~~{o-V@ z!f_y1WoU}lnE$1Rqp2ZD--L-j53|VxLyN(jAp=qNvFYg4%bLobdbhG!CUV;9BfH7{ zmNa_3*!6zLlip?g>Px*Te8zMzA7$GJ-E7P>M^S3w?p5Pn`>j0OeBHRjhEKIM$68uT()Raycip3f2BpQG<9BGxunn!FoUoNpQfXnAuW`I$N5eWYK#((Qd5g{ zc^RCo%gyV0{P@$1<|r2JhztB3fb2h%82$`P{m;ZQ0j)ECR23SIXLdfaT>~) zHReRpqKMpEBp;Rs7*^z+sgSMPB|RPUq5B?J2r8$&&Q&x_F040BiVjzX8LuvCqwmcR zn7~yPv{txZl@{;8z-cK0PuFXeT0a>`n_?7`cxX z`MP^kmJhVBsGN#n9V=MsE$2;>2r$9k zrJrnQHGX;)O>`T?h#JOd?lSkL47;ZP?iicfZaG#aIMt+sPApD!=*-q>(KW4~d9gR- zx0fZ^Qv=y|m=~o_k~MB?jrhp)Y%1Xmj4MP5E%z6!sM2UZZRrdup?Hb#B}Yq(>gDT? zrMpTlnDMcCK_iznLLaMvFHYO_t%3KA1vWAEQXl(Wueh53QKErZ$^B7zfpma*gnl%K zJG9>gGhbfw#lZju<*wEdi~&8gOFu#z<34J7b}PLC-duIy~?DV(FSCR=}^2j z-!EwJ7!@N8j66I%qwMCtnXTI(P0#rmmlJ3%poSrwE|)#d{7-tj(RrZE16$QbWvr_vK|Yx-ce1u?-d; zd(KGZgo!xTpY{)aqS9L*xBr?n_r^yCwtJ}n$**dnZ=r`9NaCCJXlO8)(mZ~ z3%exeaGul{B6?>n#QX|Yp&Ws5D=Ya$hFSfqZptDKgF@{mXX7Dhy;xm;2~YW-hWVk% z6@l!>vR2Em0mIG0Ca<#UTQaAt^Tf$6kW3Nyr$26Mv(!W-jkNaGd%4iu3G0<_`n~WL z+(|PS>U-_`vw~Fi4{y=3DlYUJ!b2k-Vei}4fl~xl)A=g2za<1J&r{XJ#pd2o#I8CwZl3(y+{}G1M_Ia3 zOHNxq_WXnoe-#i6UkJY0_@Vi?(4`~Id}e33NL-f;*U^C}vso#K74f5=z_FxuBzQ7e z*cs!YHVd~kcgQX+j@Ga(JBPu{QUv2GmTN(sQoWtbiC-PgIVch0I>V;j&+wszcXVNjL5Y?1dwq6BWqDqc92w zn8;gXB8-vISlUl2hK=A@njw11T)~F2SwVU`D0{uS#IYGw0(42qI{oJ=U ziY{?ur6%ccXqQ9GrGvALrC0LGfxPiwAa-~HUG&JrN&`bUPiovyC=IMOp|Jg_AOR zDYY(cBZ|C$s5!TlWto{vTCE2CV;n?vjRnKZ06jcB48w3d9;bN%piU~!^9&6i`QCA0 zS(a&@593(MAWZ?i0c#&)=hVmD+_Z*To14U9f_S3B?LcS+&hqImSVe>!uy=ZcWhT$+05iuKA z6+}Wz%*C#00udXB4IX?`on;0zdA^@M;=7C0on{a~Py$h{Mj)*~-=P>v@kqn=4PhL) zRtv+aow1$!1bU$Wez+9Ju{lLP9*;zHdwUxhu3n}4Tn+gDOYZEtcEne(CV@*hl5Fb&4EM1kTwFf)?p|j)s`_c)oPy{tb#HOQme7#$8nhF z8NSE^;F@Jkt&44=xNkPBu{2z2PC1*pyBI;xtYQHoDqN~mRS9EUQH@Z!%d#}zy{!`w z1PW-nN3gya7r-=#d@i&BZ_{<;MJmXX}SB|P;}}&nqmayPxdv&Pnn3yaOEoMi1uGy z(otXzr`4U<`_6WYEl=Y9+l+Vj14uinAkOxyBb*iYqf*Nm#<)2%+`lJWgCl}@snZV@ z!z;ADW30>tvylWrBt(x)D>WLNNs$;6-Kse~HAmlT8lH+kwjU`=Nvi%Nm7Et-)&tJz zsWa4ch~Gc`-QWG)x61!*)31K@tM1J(4D&qOV#?}qoC1^rAfktd2X&SSc00iy%F^&T<)#*W1rB+ov zol1;i84A3{+n@JwDxObYeDSTa|LD^H^1uAQzE%F8|NIwM-S@ z%rylzhaa7L#>~ylO+3GS`<6YT5W7F}R@s&|4s%{Z_Sjw!WF-0Zk)_hz0!RW0+{w^)xe848z^BQ~;OD<#amE^SsOp5tYPPjc%?Q z__kKf;WV0Uari9Ke40{|A=m(u#TeENTS%m;ib_p#HoGTVE_0vNRODB&04(MPxp9s~ z)!0%;_TZb?o#T7svIwGmlBSQ>zgttF8lFIXmo_3M5hC8z5=gN<0B#l#-6xkAFq1bx z$+#Ph+E6dgTh6L=H3zg~1Wlug2^h+7SuR|NxJ=VD3}v2e?upT~7Hx!yNK|eP*YB^t z`uErO*Hh`K`|*2C;R35eU6Fy3qh2@|>h@_@=AJgtEqu?C^F7uHsMpaCxoua8kes@c zp@W-OGiRU~4cq73cjs!2Pa)UbuMW|6pJ$6zeZn37zWv=pM`h&>?unVF#*>_oev0Ex zJ5`*0*Yc5-+uW_CNL^{P9&YQ)xIV5f-LBX1YX`yM)IvCL53A1nY<;|3E~2lnhCa{e*`XraZdwyxh;D?1bdhmd1$Mhf-O+S7X3Wam#088b}VH2CQjE5f6QhgCxhnwx81LM6x6kFf5@xv^!ze7L|sdwko^R8 zBa;b+tAlfOY{TPc6k=Tq_dd1O(DJZT+9-jzBC{#5?W_oB8$vc!wTO^;=>FuG@H-;_ zemdYx6W6oW`uO;0A)UJsFpp8{`ahuxX5u95h~w|Q*}%}QG;-Lj&f^4yaKI8b23zwL z0*eL~j_`D46Pf{G<26E?nBLOPB*8^`3zIb z;Zmg<1QiusWEhG93|4Zja`!+t48?WmjS6TsI~GpB#!l_7a!UdL3T13=ZXy<0%+a%I z^=7xo->Mjf5(GJ#fKJmLN?Ru3Ie%w!nQoOgT(hb5mbbjTe$%2E^o?1Eu$Se zE@X5*z0)ur3(UUbwU_HsQFTj(sGEQ)VwzHpA()9;^uu0Q(RdbsFr%uli8_IKuC>lp zW>SI{BSXxwk`MR?LjiO<6o^xxva^lT?96HF}sjPIrA`MYC`OSbbGUpN7Lyq@p>VA0lCw9zl ze$cJ;?H+dL-bEo%;C}XVlXA(lH8Y@VR81cFt}(eu@f;;&!B;Lkd^tv$;sGTi{ukCG zdg#$R)xq+M4=1KjpeE4_0KgB zVg(AofH)z6VHgcdwe*vrFhBZa=cA$RKqTEc_{_Hee*4?s{`sH(Id+HpFbol;yOhFg zTx~H}KhKTJZpZF041tCXxrXaERT+j+M1yTSj-!zf%nS@fczk>e`LBqmod!f)3KPxq zd^{c>&rQLDi5AoOVHVMOsfK;SS&(RDYUBi<%mcZOd#z2g#o8(=2AQd;&vBIsKvXGd zB&t?pjfdT;1M;T!WB>Z-wJ{7*+(w!kryn8$q74PEDX4E?ef!Mgg{XM~CL+MO`0!IG zX%)KUfryCh*a0`bg4q>NRHs{mZf&v^Ro%phFvm@1z^tmq{_{aFSfEDX7|lXZV&h*Z zGlqegN24JDFr#p@HjtGN`v4L%UoIEJ@xjitp8_6*T3t5A$d;5@8j!zz3YNvL+{3;O z(q%$oe+YCn?xF3~UvtS%5h{Dgcoj@PQ+t=X5$O6JRpiu_ukK)8lf{KP12Hn}o0MlE zHzR(Hf!+Vwb$tJFKd_qYn4=?46>{}d?;4zc?PhJi9`-}`KFQppSC^}k)WZlA~i%qh6@{<%rnyJ$ka6^^3n zvc4eG7V;yW?M_!BDnKbpM9X4~B~?}9;Q=-pGqakHp!J9cx?C0ri2yS{KcNCQO_NwM2^=NBE6$`OD(SFD=@;=B2eSO;MLj!X>UY?e{Dh_tD^#*17;BLd=6mXdxQc~ZK^n5MdDc?0<7zT^FeLkO6_2J=xn z3%Kj*G{j(HCj;!jF?nF%{xAfl};jaT66i?j|~DO{JODJPMZ0%C?j z2d-5PhjE@~A}ELpGwVE?kqH$pAJ*mf`1p7{9^=mdH%1hND~q79GxQJK8L(^*?sGOg z0TYolTe`HrA8Bg}nG26DXi`e)O1O$#JDl2O$ZxtqcqVfP?BZyW6y;O5s^?E#`q9A{ z?LF#^JQ-bN!B=i=*M+Ozfx5xTqnBUiH!-$Pf%0djI9Hd~RR_eg=bU}_bHj3_SKE`3 z{l2MIVAcx~cjl8bo0rf0lkxsTs$d%@ZZT|UIhvi9f%(|j4-|et^p6)6pg$(%?TWO) zh{&R)##$lgEaLlN^M7MH9fw-=a2SVy4~OiqpX`ogK%@?(td0iFbvHG>rl}DaNEe8T z5;yQ~MKO8cU?QRhjGWRSC1plPL5LPWR12W03*6y}u~W^t$E&*|fN55D)xq-w0CU|3 z0cpVN2N=npND37AP1)8fjT1ZcDgsbdix}|r*I%2IEY9fcT_H=xa%q{1_U6r-Pd@qN za5!{#72Mrhd}W@9Ox@`5@o^XiRhj3Rh=~r%GMCaE;j0DE^))QgRAuIQHWhzY1~oQ0 z-QC^2efxHY{#zTCWid}Ywbs+k>2kgp2sYg(G&O%Ig?;hcB?0$Ygi_da{i)F$0sy2$ zB#UIE4uH6r?p$3e7bY?{L8?l%F2T?xqQV5I>!F%hz%6jt!EmC&e1zK{D%xWDHmx7h zFdc>_Izd}Z;0D=SfpNGLX8+LEhEsr{VNcB+u%mo!g|4X;&qOVja`N;E_aGE2shKOS z(UA#j zB64#Cf1l|`FT(tBr~SdvEvBck{lJNc#<2_o8{A={VJKzb!(kYP!QB5)W4|{rM@(F( za06sSW-&=nH18Pgw%5i2Y!$7DfzlyhPs2c^kjc%6NVO6PHD}%m^d27L^KlqVAb>yV zFutVkB>m-I{w2~WPl-YGe9BY*o8SD#9`*+%Ge15)l6wR?97bb*mcq5xTBVd>9LG}l za5w@@rJD%$U?J@QHD8~l@Um2ZjNea0r3~yrD#mdfNAsW>de5sISwxJwxVgExIo*^} zKw##f6mz>(tHezq&G#rQDw(Rdg{>;qi&?b=$ZKQL?oPk%&6Dps6vXVjd_dH;8$gt| zkq;~pz=g

    DBHxs>Vk;Mcxl_%IiS<>}D^i_X>v~Tv6q2 zxl11s$zZe8B%YpKvi9Na%ugRAx+B0`&jcNz(EJsuRRYGn0_7-U)`l6HG1D4$=vX}F z-h|X4|1_K^amM)Wkt@kKC|1)IgR$-jp7pgJ_eg#a@kot47mu51miG`l=d!%$OeZ5< zl&siwc;20_uS1E=J2nMY3OjO(1_fA>N;a3wsoI=qGcA4Q>_U94_U~#3SEPI8%8K6D zIEWYee~}LaoZImJ7hmFAnhTsT|KNQ}>U>K2dV46V;x3O;aS)3nvi`Y8{mJ?y{#-3y z{gdc>sz|Kd){YLaKPTMcjN3KN4GL|3iw5Q+j$>8U$ zL>6?F1mO?vn*Z3n1CKl5FRAtIa5sqw;?lgch$6Hr%C;o7pqu6Nw4Zqq12EeGTPPwO z7(|s6`Pr=L@C-yHu@^}`nbS>i!9k@oOw0f?w_yfP()lu* zq$;YfhTJ}IAy!O~+|4zoJALW!&sZ}C+6W-=;h*1k2GD#;fz1(1?#0zr*D=2)CZ-Oj zwCc&ML7^~Vt9qUPG)PXp<+4`F(=C`u8BURRu$SWYI$}yaEko8YvlLYdk0g?3*6L^O zko+7(TP^i^;D6+k%6(dDfGjMY4(-)2?Tw)4)0b%!WBY$-$4FG~><{;DJIA?kf1f@z z*{Aos2_TyMg&B&?_LoEFTRA*?ZJCONzN~`cH-1Qz@gLQydd4np?KZ=h@Stj#51j=J z<7ZHyN=iIPHQ;BEeZfRToDgc7S=VfrErE({u(f0as5$N!829pa+m;9aTr{Cz+mk*r z`Rr7hYP%9Of5dCaCLhhmY);e(RpzC(AWFNKb(MV@rW1U1^mO_wV%a|^>16S_3qx@o<^SuMIf#x0<ck%{9?hjFH~<@66=!Sw8TR4LKdA0w`lu^IuW}qGn+a7pSDQ@rqGszDC(_z zYy4R8j9q}D20vlq2oM37%FBS-h?!a+W<;^F;B{KoXafypBVGPvNNnwgn70wgk8bcj z?zn?G~p*DHFdkM zYh-rce`69eY;L&A!RnL|g*uipN61C-GNKgaa5oG{!12Oz&eQT zDQ)iz@72CCb8^$ab!N#8L}9s;MN3CNby!5SPM&}Ye!Cis0$qwxT=2yz35(sBLap`a zU~1N*Dp*5+DerA9=+uCn)#muD90WYMiH%9^6_dj!-sN;n^n@h^GyifYB5BCk?}RLn z)SEdnx|18Fsu6BzG`?Nd*v#56Am4NMa0v*(F;~bYd%tGMJw}Y}R-n*9YE-#mqPFgL z3oKubn%U#8qxx4LfK7-;E|=NyqXUE62_>v0Y69v{)wqGUR_w>+mBH^KnktA;PPm!7 zx3_%b7Z}2i(e4JQ7YLj=POqk4jWHg%woLDfXaI*jF|NG4t++XMka$k#Nxw4Lh(PX8Fo1~5~Hiy7YG zRG0>ljbP~bJvEsnG2Hw@0c&Dt*Hyq`_?`E>^dUmg+T%_8&3jbu@3MhON3N+3ALy1^ z-LHJr@laml_%O=B-{ZU-Fis4E^)is>cjLz)6@7UPpe&FpruN%SR3J8WnJuZ26eRnN z>YuGrig&jLKnCSn7V8gdFG5k8&1url2LM`APd<)<04%J7vyi9RS`e?SDlo!fvu_4+T- zPx%2TUl7^^;5Ly`x#n4R4ev6?l@t{z@I)Y?^h{-OAI0@K=gth65DHtOaYPcKrTT(E zxIu8P>yW=Cv{$)|U0G>$rZRG%S1&<8Y8OFLHA!Uw!^`iG@*QKI^icLub_hMWz^cML_&b4>ti-Bq|QD<-TigtH5&TJP-3uB+S;tQ4$FDOhv~GhMLV8LiV~xK9f)jAXsx`$ z!z*sZ<{wLVGl(yuIWs&9=Y;-K%#K?*$Eklg&|7M|XW_NQgps>~!ELSc^C30gU2a{g zM&OA`WfDdr8w}aI)KLoZie?T@p;FG7VB!J+*ue(32t`5T?=|c0!*lz|ds8e>B6oy` ziEIWiZUC_Z7`6(9)4)~L7z71BAOFWe#zGlPhi#vhrEpZO!5hPN9xp7 zA0*Cm-CM|)e;&=^Q`wO0tcRnB9 z%d-6lAq@Eq9!nH3g5Gc=595HsI=L!=A=3K(JZF(f% zYoNMZ^A>;?02!U46hEAeIJ0Sa9jPby{B!L>Aom!Po{B}u>8~EN8bqY4m z)fWBYb2j@ye<8r>m|(M5B)R}xBx430`k34Aasd85+ z=ew)f#ZZAHTTbi;rL*e+0?e0sFy1^L+CnQ1U}{FY9ON{+vs}*Y7hdqE9GKZlKK{vLeoNPM z&(@_s6f{WB`H6;c2afb4%*wwE>C(*%Zh6#}kM#P%>#y3qnp=fbgwp~YWqw!(h0D}v zjvN70`}4g`qi6EM+}w|w=iA%H6}v(!lnEbCPaxP9NPm?lPNB2sc=~?b19-zSg?%FR zd<4lrSu|SZ;e_m6dKtEHEd}4eO#5M39+9MxUWB^)gI2<~_1DO5l?t4u z)LY7A{y6JsVZC#94YRL9R=qu`$+>-a?mI*_;c}spgST~LVwHWYC~bH+IB;#HtDyQp zfYFm(1L}+&L>qU#BfPKrO33Hg)55}nGr4Z*6aIi{)&S5IyeEzz6ZS^Kiwts8%&&C( zRE28`>i_P_iM=9Q5$*17+rpnp!TvCemD{*x@r1Ssi}CQVf9B?{2L~N8ehqQFb^6RQ zp*BtI-xtiV&U`9k#(C&>NkY*c{#4G$X=yz1G5*cd%FXT!6S3{ofRS+@mNNTj5 zglLm>v1Zf6UP19L6AMYqo{c&2Fo~X&-3UCAT=>tewCNm7_h>mX{ik6(no^iQRHAp*_)O5R-q4(7{DkCwwZ_+B<)bzmAJE)f-4ySs* z9@21*S>se2r^9q>FxF1ncWn{+ZL!B<4jsZ3!RC5qUW=>-#XAg{M!xay@Hz2V182i{ zrtpU?c5>JrpXa-OrKIrV1_oHtG}qSt!%qqt3uRJMN$0{N%~7g$JB9N1WLf%#`GL?9 zW4ab|{Y$n6c8}@;KA4%W41^E}&S$HJcjnW*#v5KPLB%PnL6*?cVaN|{a4;z|pVlLi z+8z@+{Yg5ge5DcA_3-%;;ylsRjVNq_oFe_M8Um=$2#h$}%9t6zN?`wJ(VuR9Xzj;p z1l}AJ-nyrMi70;e*=X7Hey3lwpdTYmhTmg!VE2?&3U8_ceRlR(XG89*&59Td$z-aa zR|w>UXlr9)R+?1JAby-IV{$}vnczu!SSb)1T6>tfI=M8V0{t-e<)#--~RMpbl2C@_0-SpAgDO?PyQF7 zu)0{mZ+vjnbaiZLPq_M_I=*q8^As8?gAQN65?U>=vAM!92drkgA@SyKX1=*gaf5i< zc^?x$8Svd@txEZ_see)aEkWj9Qri_Va|*qeHS#8C9Fpb?rWNkNa#}yk0N?ud@d7OO zL2d<@D*=zn_yw3a8U_>oH?ZYQ2Gn=`O3;vjDu?sP(8L#$lMv1FW7ZJGa1FRon>{g^ z>9SGC0+R4Zl`*!%+M#ddhz2DL4fh4C3*4~%-Eubwb-(uCB!yEc3QCnI-*@i@EMiZG z8dxWgsR*YzQYv2#syB$umE1z$Lz#y`5k}4Dh%*RJLhQAvCNuOsKTjFM&3he3Rk5-s z%jc&EIpg<)xOk`;pZCCw2jFnDb}Fg7HxegL|Ej^=Ww8Eym#)~dBK4KNf$~ouVT6=h z1~|F+1iJnGo(&rS+8fl>%k~dX&qt@6d`z@mmA}L6iE_8Y?%ZOde@BFdQsF==#U`pU zY=zD7>mqyjqd?76S=Mf^YK5}XYaJz9f)6-1o^(iWcVRba%b;ezAe825e_gWnQF6i>C>EXO~OeqgC%$_ zE<^*3ypH{sHo9JAH6BtYvXQ&8`A=WY!MI%C+mBETLw^%K)}B^|E(FM(BZ0#}Qy*iuVVL?V5u$qHq(?pDwzsGfVU(UMd;S z_+4(9u^+E3X9e2m@3-TWSnIt?J}b#|+@*GCyJfTpiO>|1)`o3xruVhR+#Ce2znvxF zN2H3*W=Vxh26o&*Q?aYOWJ($b-qd_6lwg6OoP?8l#_=b~No|++J5S--kAobYPJLS( zEG&#~#J66tU~r!0{)9cCy71tSslH>IX;?>d%Xmv10sI1KiqyAd@>?bwxll)xg-Ehr z3S*tpmJCW~53bx#(MJABgSSxWCFogjl!RS$0L6w7Hy*~&KLjR?Pe|TV#{4jKq48?v8sU#?-5Ju^v?vo| z)D6rXk01BJHJK6>`i6SFqUCcP&bwXEDTWWEo}x6j-EE6oqrz~0%j)WzI=KPjALc*N zi51L@DwD!U()5Y3rgY5~kZZL=U7tPFH#^zOMpA|d8%MVLc^^DQ%8aAs_Lz&Hp1WhYYtKX zXD=rH(EDV{!%C0qk}FGN{F_FH8y$M+kpWpqr0cbvkw$;DE|g>@gADfH)p}vGi zfyuU36*J+s-f~wHlXr??)ihnXHA_b@_I$hF{)6HYjP+vl^eO959zoq>dtmCgE+whKOW-RhjfT zjeD+GEH$366#m^A6+YR%&kSo!NEwsyCXKeLPjj81=Zh#5l=_L;Yx!h#cqms4sKf%R z(phk@JbAx>w>EPODoBlHzZR?lxQZT}YI1oxoT3o$!yLI8*41y37TF1U}V=X@sWe!89J*T(n*tLwW`?I zpVnka!q^s|vCni&2P#pMS%9$oRWOoR$YauH{C#j}GbR4vc|@U;^Cdy=^#uc@4g1^e zK^!h{ijbMHoZ`DIZwk1KW$%Ffe{L={VO{+{Ys~Sa0{!#Q(AhOdnnW`n7qy-1O!4wy7W)=raS++2Juy;T-QcVnnDiHWiu4 zqTk;Z(0z;_LOx)_t!AhzZYrlYX*_}P-}lu-g(8qTWj|ZB5rXAJ|3forrOhuH%8q-J znD4)bFHbTeQ(}1kEG^qr* zc1}N!A7-Dgka`KAVZp2eRK$OYwF_O&&c#39x;njOh_Mw`m!8Cgn?5UH+Y2}Ca>Fwh zU`mNvUeTa35QrZ{eXa~*be?QHY`DXC*$}3Yfq4fdbTM71bXTf_Q5U0N-XfG2wv{F) zyRfGiz?=XpB^Hys;|6*GFnwLmlDR?46NDv^WEPI4-#Tm!Coi!U2|c;MwsOEn)tXND z+vINFHarDXo%r`Zf@(PD=W1)?{!Ah4FW0L2Gcf(>=N9cG4j7(EJ6$nQis^^R?Fm`Jap8e-{0s<+Dg`nldI-TCHTe17q4=|`*S3g2W01Qa0 z>KV9D;iGno#??taCM7#Jn*>is#}PDe-DASmYmI0w2-*mscb$+5tb^9XG<*vAJ8TX0 zST#3p&3dp&sv;FkuInZ7SoFZ+uYBl4-mlc8q@=owgu3wiIlfY)K5BzGhdqMfK?rQG z|5DE!GGXivJf4xiRI^z>AqI4TRtclS2f#XzHfUoD7(9EhlwjJkA1H3TX6Rc1gk;?3 z*=YtxKGxL3AY5c2#0ufhWekuTg6feh|VV82^2#2k{u?+baX* zXWP- zKic0BDX1C%a?99LN5Qe(vhvLYAvcPfLde}AhX_+M2L~g^QazoDasEJqMDi#l~Zj~S1 z=Sbgurk#D7FiZ18Y@!))rNm-;os$z)B(QZzg_mq^eqpi5C}vG;uAFTUffC$|&LtL* zw1gM1Z8+u+^DO4R*SmAS@hkYB^aVX%Xc@-u0PJm2N9l%8voK6yT3TA{iDbp<>3$C8 zCrURNXv)jK!oz)2h{~$u9OG!*qV~El(K)U;myg48yLSo%4urIt z^BRDz)P0NnIP}U;!ynbX4Hc`iI6lu5YUD`dMVr3rD15)EEeTO!n|!n{F3?wxJYFcl z*mrPsHw`2Zbld{`z+r>;a1Upw!53H8=#5=&BK{Z{KABix93yo%M6L2zQ+PVoqaK4i z9*Tz|XN+8sE)>-XjP@QIzYXUVgX+YdJu+zfnj2*;Y3`*4^B1bAHBUqR{U+XCtBXm? zUkiq{V8SXbW14g5yw+*9jR?zC01PZ@TgJ@OV(o z9{(zMy$W{zpbNl#Wy6~a_VlALw3K?b9cw_9MGt2VoeNl#_$Yd`16ZT)IEagy=fhxB zvBd(1AuQDL$ps8z$uW!4G0F-jVx-p~IQk?8sW6uC&{z`M_sFt#IUr~Jh~_Q|ho!#d zh`47czr3=nxlHGmMtpDWGHOw@$GZpnmwhaFLBIg*-rzGWg!@D>gsO}dT)=zSy{OkEq}w( z3Z%ga_#`$vmbSB%eA{B%zrDTPpDtWpB>Dss@ppAqAG8ifRZ#r3h>ouNNsZABfd>d) zx_SH>cYab(jLaeYB7tn`iVv!Np(NQ&zcE#L$Q)hNOg?xU#|9yDY!W{98jGg4ArPDc za}`$BZs=_sCRNl)JEPqJ9ToB=krSaOY%T}sD-pzxwa|9``ZbAW@bhEeXHdaKs%RT@2k|vrn*E|3bf!V1 zsX1##Wpw^ft4Z4Y+W8YcR4+N7_;J>Kfb1vqO96Q)@A}umTn<~=Z{Zto;?R-l88LPw z*^1vxQW%giEW;@S6X(Dpv;nT}k09*cK!sF_-lm+mn=98pIU(+6f_YHqo9C|rBL(5y9ZMJGL9D8C`}9;8Q04rW~ZE9~VMJr}pJKV%WI zqR^Vn_bT?7EB~k1yKi?&**67AOrPPf(#grmYXj5ZLu~}fxbn*oOb>r<2Ba$Id0(rx z4a1{CnIPMJVQ(<_L|Y+ot-* z3r)db20uAl%9t#zY0+!_DFxYXnjT|^vDmBUPghtrT}A$~ca;fCq8z$QWArn-A}bTV zr27}uUJMUGHgIqL=Z#Zl7;Dl+4C~`BMpB*4QS}UXvT9h{Smm`C)r@O8CG^46|Sk4R`7Y=e(>kSB4BK)+dqrhC<_n2a&=Y?FIx9~Cp^kZ&m94fX$cAcx z!hhTFl~m7@DW_=rHI4dL;LHF^Fbym=R-Ae1uyMQ0l5xBh!x^?9x9KLIT|Zp0edwp- zio_&!l)>j%8W2bapf%kz%&qq5#%5nJS8*3V;NqN8u4-O#t1VaadLieJVB(p&#Y zt!1iiU18W9pnkvsGlnRyfwv;HQ7IjlQt$00ZMcZ8Uf-GOUI~=)JojsS?$Nh3ka#iu zODaO;%~TE#32yU#BBtXh>7y8Li6$<(UINfH)NHUX=T>6(t*pT_LkwY?5#$|s`+Y0( z<#D(5yus(8q4FGWRdyuhZ~iII6WnQ{idiFVj4sYCL5Zw;rQ=O=r+2&Du@5cJ{PTHY z$K|T9=PhQVPqo(HlM{^KU!b!65(B6MG{;}x=};ooPAo$Dwrnnu%4EJKre@%XY>8;m zE`}Morm5(kFYHooSp*_@+P8e*=SQj2eAI77!8I}w$~|bQpwMxg;tq<8>m4g2^z1Hx zBFYuOlXx6>n<6)8>Q5HQGS2>{**)7b?F=t!RpAX<<7S6z3%VZi^Lu{&jSq!;z0T(v z%MQ+zd(Bl)O4zj>T(3QUxm>d* zDW^v#R*5C}XHlrP;ks-yn>Qu9j$6W>u2MUp3ic9&!<#}G_wP6&zZ3akwqlo9AIBVj z)aoykd%yMay!Jw(q!bH>h3XvA;V-01iS9t=~Gq z*pL~%deW+gM9{qaHub2cey^4Ja|@t%F&V4f zWPY}1Ac&ir*da_OY0%kaOLMF85ucc(%BuF>8cC2{VH#*!GROJHbS@WzdNiz3ULn9f z;jca{*cO!aA)+P?65oLn=QCv`G2@9C^NDK`XK}=m#~XBc2Y6(97B}bI{TG1%8hStNW|2 zQ_S6L3uL~+pdA8%v==pjuD$P@IH~rszm3ySlNqETF0UZ#L*m+!B_7dpN>&N3ZW8X- zY2ssYLZRFO*{!Cz%_@{6qv^CV`$n=oB{HsxZ1WjeJv0&{)9HEHj6QZ*jaSk}`sex=$ zr0H8G#$<({+P>m?n?<$iM-~iSS4F7pCbqagY)WDLTb=7#T&h9PVm|kUQ<{{Cq(`eB z3JQDTVP=dJM*OoJo-a=~ZfJ98_c!3H&fNF8o6gCx%+#M}Von zJMZ%}zqVMA;;y;lHGNXi)WE|OfB(0{M;KRc#qQ?$=>dcY2EvEgz3g;6CMJwO0p`f+ zqEG&n+u@M&94R&U--KNr?{9grNuiE9?`N9cA13d0YV=E|6_^*sjzMUj@bAmOQs?mS zl+ZF@p(pod2c}2emNylRl_tyL7|WmpsZT!UR)A4-aw|&V&6fiMNXEPl&UeJ&i^r44^bQlz#3)nFBKz*~4;{EY!CCO6 zmVZwEC8j5g&k9f$W&<5r=Kg){6o&Vy)y^Hn^Wo*r=eg({G=u>DpgyWh#AD$g##jg` zrPydk(6eN~qcv>`X%Fw)l@Q1UU6p$4U4p?K9&gU$KlPBH23d{l6c~1~F^&z z104f}0o-O3J>nXfPK%U9Y9{m5Ml{tntTI+0wma}KZj?Y;0qUAiQ>|u(izDuyw^TYg zsBq3Xw=yd_Wl1=LG#`Zi5Vn>Uzv|#*T(bBL?I~NqbB-U4!uW{iruUT=3T6JUV^bb1 z_n|oju9j$P#ZE}}+eqp;ar03|aoQ}WA7mrZFL!;|A~8AxIk$r2)wQkv+!9eP{}l4v z3PuLq$FSd`Jl-y=RTrf22J()<*t?$@I)$_qvmv~R{7x5rKbf%@6E*|wwZx0`A=Mbh=vw88t zO4vgkQ?s(cR$f>^9WZ_0#nEwWg9q=e7?&caq_JJ+R%Q&ppwg}hWOcW9QU5?$pNtBf zxMEU9;ccX|Y+@o*s8dTTocf*u%^R}i1K`8UZJ1pNw~>VvY&@+F1EkuvrUOQ3P%gPI zhRAlRm}5`T!SWoXGWE&rS97w#pmwvBXr?5PD$KJiAfRgi;X0)H7uGIW()?ztLC()yJ8xjYr8DhBi*u6pbuNkLAV4qN14T5 z>0CN^`lYISTE&$ef1tvnsF^UJD7Q77{ZjrkV7#?62G{q5}@G27LShc7Qq^00<9|yQwf_RO z3kQW;GXtbSN6NWnA=?#35*0t9>&E>5Zuoyhb&T3fu|#a9&P%a+U#xu^x_?&czhc?w z8KT+5>4tnwDmW>F_ep^IESzfy$G=)eJ-{iF%7F^9D<2&e1}73NK+$u9uY2xkkFQEe zIi)Za*&j0^K8s4=_^dz5ZiiHi(*#kdvY{FI(QACH3#5>e5b0L!yi8bE_NUp(pD9w; z4d)gtPS{M^bb2Zdef6*__?$MW+J)0bP_eSFLA9Q)_y&Dje7^yrssNa(aEnOL>vR>W z2F?#0eh>DwbAlP>KLRD54AGJ=U59@&SYg%f2kiL(Yl8RJoOVCuxDRd-rHjjBop^FZ_HRzB1Uq(vk0!% zvj6_qdH^nrYsW$PZzNA|C6V4qPitS?&hXdO@bolC51IpEkbM1-<@kO}_<0Kq`B1+z z$;1M~5gP{W2H5k~iGgHi{-Fa|81NxA=lZhTbC?%!GJ7 zp7sCQh(-f)#$U;E{yUzW$uu&K_V%3#|Cr$mct}vC*NpGUyKrkl8_pw{vOuOV8MOs} zt*h!T!AfjmjXumVY-Q1KO+l85;YI*sJbZU_6Y1}KU{@z`%f`bLC?2 zm=2;y2X!B#Y}ZClmnN(mH3y`0n1g%H{}aldFigFLyFt0`q%Chu8%j`)1GLw+?rB1> z6MOo12M-{?`udj^b3(RQT5IlY;-)(iA=IB?ahkR`Qr!vM1I^PemZD zRJe0&;n9rsa-N%)5_f9hyFn#pQ`Y+(HXoUIady+*MbyOd6#V>3MRFTehc z%sCij^Q0!oRq~xu(UB1fR z*_n%t%^qm4H6?d6@u|4r4j_0NKUyaQ25nu1HKKM+N9kRWr% zUYHS$tdr!2#Vx`wOt_27`--VBHWr2{z$`Cn4>bjY_tLqj>hkH&MITH5xZ|Z#8MLfx zZA_MmD!0WSAJM`|5U7QPEOMzU;`4%wJq#LaoNy-bhEf|aasZLXx-eV|o~;PnPp#1E zR$WMs@-9US$N$V6ycs_9KPd{Pa^2h>Gi9eg`q(ORz>8p8N6_G`)7(^@C9#yXnmZDR z4BvCB_nZF8+8T6SCXK;ji>BDzVFo9pumPyjhl0J*>FDX#iMGIQjO_ch6IXB~|F#W- z4IZc4Ap@d}4plHpNC#^fR=;YpTr->XWA6YedO{NH>p)l~eFQ_%v@PUio#)i^F4r6; zOXagdN^q`?{>|YWQxCr*w#{7W26{=U@XM}j0+K9j;k)^ux#Y{>c=1P-5BvIXkbPW0 zx%d27`P5bqt)5_txJ&ssA~6=yOjS=?osj@#DTw;pwwiuxJ72hcNveq#SP zZ49VvE(n}W3-u16eaw7>>_z? zl_1ph^`y~GGzf>zB4ctd`!=!`s{O}aVNhVjd{&qV52C%P)&SHfBdGV;eJ{StLA|QG z5QGQm%bm!k*1AOh@`)T%3>I<%nGo6|74{B(m|1<>pb6Fi;FUc@xJm8x!J_tHLPKPF zQpsJ^Q{$w%hU%NSVDi4_n)>W{@>eK@Ax(LaHbq8>HxX8{^R~MRZ;xw z9og&e`T2Pu$ZQ;4|E++S4&=Ch4|9$EZZ2LB8ko1$EqeDX^)X@b%FTUPK~T*0{Z>)p z5L)Zk-cGbl7y{tYq?l$Agg@pdK_~irBzYz58;uU*FLiqw%Jf#mU#TJ~yO&7(y+sO{ zdwPtQ^0)M=N3Ve=N&GV$DC8vAc}~UxFr9MAv~T0+VFjM|=(dp?3jr^Pv=*1w5-8$B zMN;O#j0K%Q5`2BYHOo8-6mhVAnw!1+yAuYbBX6Tv3lOTIb@QDb&Bu30Xz5Zo*#- zIjv>A{yp+jK%@eOP6FIs!DDBLkB(unyYyDoEIW)*nYR@wU5d_JL?uiI!TR(Vuv%L)|dxB!9Eh!-;bjn+pH1VfWm!-sr zVhSMe!b&Db9C-QrcQiN4=sG{iX!YnbG;X*h-#Lkpc3m{w1I`V#8|CiJ^>GZw6nFLcWUlKrLqJpYS5EW=y8IaIGt%&m` z2`X7I#nINP#Ta zmP>1UJ4)E3DZ8ns(Y3Oq*p~*c2?`Vbwwq$z`&Uwt?*QWW-C2)dXQ z?@0LeNPd%$*O&_wivIN1P|9yTMB0*39)F&(D_=`QH4`nAdy_ixOR)>exHjP~#_~=AnT<>` z>{|t?Q83_i4gUVhrjb(tzWiPAq5)HYoLK>92gnG$K-yM=AayXs#k>lgX@!rik{qLzKO3^hYX>1_S2P z{l7zwUN`Wnl+0*zgGKAhwAh23e#UbPSgh8y{nUL|<@{gK z+H7Z`TjNu0z_cTtQ4NFP1ceUZ79F^MH)I77TaAwvqmxorCa`ZMMN}0QB}FNZ_h;KU zWdK-42tat9uWPaRjynO%=jd1&6 zuP;P}cMJXjQhZ~z0VGXr(8bY<3IjO%+%5avdv?I>=TjkaYps)u)L26#?kQ9}14`qa9zK$Y# z<<2KoSYt_;FK=do#r6ji5)y1FTf=rFd%k7c_2JV6u6VjNmKwtEYGlo4a{o-e?PfBl zyb?xW$ME5uTp%+ACE@I(iC@-0AbruC;M2fpCR=g*(X}tVmvRR-+}buo2YL~$we%5l z^r)XGv8w|!d@~Lm_pg)&)eR0i?xFZ$Lt7G#!VfFTA2t+Q%>Jw6sJ3BmA+nzjlT`sV z&xJ*g$H{vaOmg!A2vFj+n4)DuWzpMV*6ubo2u_jwRk-^-KU{;r9$&~XwL)Wi z`)Cp&%0~h{udFB0@Nb8nO%=-K=i0dhHQdhQxk_?HBXVbi*{z1)xG2k9^-Y_rrFSfH z9=n&gg4xR?N25x0CQGdOqLRHcGvI}8*<~z(c_5(|g zTTx^ccE1kX+r(`zw~!wWtLy1unB1+;J@_dN^hS5j1<;D|C9U>KP_O$p zO}ns$Wa3IY^c$J_ntFn?`9t?t34#&}mLXlek6{02m(v#jN?tAoO4&`GM>FT{6Jd;O zN7DE=r;a{{cvGE70t5;mw49#KJbg0#D4+h%>}e;V3T4Am(=PTrBi4)=c6I)f%q=lk zTUnRS6}j8@8krNjAuz)Vr1e>GkJKC(zas>;3tZ{GjF_~|-mtx2eSY3}eSY_$yW$#9 zom6D{mFluCKOZ}7h3zH6jX}+ip|oO1Jd2abg(6v_3|~HhkpLvFCSQ&xhnVUeVCz0* zeUduqj>F^P;;#bzjY3)NXa;lCJHxC@_Z_XNGJ8yKW{vV>gWa;ap_typ15f~f59g~S z*Iu8Uv7A5Iw0cMU3KD zVl4+m!`M@k3L(*C&f$&&69UwaavLe!9ui$8+!2YP&ShZ`OHXj{yOAf;yf}UM;L&ch z7x(w&@I0daX-?N9nI-cLI9Kn1NxgG)P&R!h)XT8ok@_5%(?LiFUC%ua1g;|FgIx%2 zi2mE9wp1ECo-5bot;|?L;UPF2`%~3{+y z&;Hcokb1`&5t5R01TlwrDw4y58*dH1UU$C`%vR#3efW<^r7}~w2UgVf!`JszEJ`WV zAi4n@-Cb=B*;kLxxs)(21v?TL#75#v0QcIXwD^m%rl#G_-EknBtQLCiWH-cr_|r2t zEHiLJgEm}nc@`E9zdA=%wh$`%o~cPNrn=YM z=jK=+pYh^P@4;$>J1dsCDM|g_ZOS3fm(=&Hq0onVPsnD$ zW|=#A4Vw}!eWQ}?9J%9^CW?E8-5X*E?WG895p192K!2>Lq=+^@Slplvp!JGubr>5z|F8dz( zZARv#lsaz;k#1IaTE$9SNA+rxSVuGvG72U>C{a|b^2FdYl#J@PtawO_Mb3sZn(lrU zmk{3#otLZrQt@7j4~E@{gNA|yLm(O>TNd{#P0F>Zb|Nj(Kt4ZLC3)I=XFt(HYt zB3BTi2cG+WM@2}RMrfqowcDZrZK^{18o+%6@(H}V%fz*BCzFo9G3m$Un(x7c`Ozi= z5GJQe2kTEjwg0|0qZ9adzs0j1v?ha4YtmiHK`kM6unkmvaRR8&=rdv4s#SA*Y(k)v zLi%9#LF0^G$gYxI{B8noT=pA=3N+IfiEzca(BH5*lAyAKS(?hFhl0?S%uu~Prtkuj zIAlnkDX?*$in6Jy_W3V?%(lskEG2O1x*uDgBeNgA^4QvMbZJqY7tmAx5?9tf#{BBd{hjdJG=stlsrQZv3X4uH9Oi`Lis`sk zOV&9RfEGES-!0Z-7?D`bWB_sf2*=GKCDVkSy<{jqa5Qj+NNp7J_%HAy9=8Ao*OvVF z=RLuTT}9MQUT$k07U}P6b=40J4o5(0d<9wcd&Qzzt(nM~cr1u}Z5PU=_KX;+{}fG6 zG}4BgG^=ln9QALAAQTFWGo^14QuCOOzkG-!jvMO%ddxS-!`GP~^=o5+XJKUiz{$&x z6rX@|n(3DKgBHiV@Tzok9aY4llRP8ga@bG{knAzJDmJLE zGE`F=M>{|Bv(Bcf%th=;q7x|G+Ri!#y}|7Q0A~)G^U?Zre$iQ zKS=1XELCI(GJCQS%(lG;!N_4;?q{^Anh3q=V{yLO&;d%`;)n7O^6rZg-=VN3k`uo; z#`!i}eTa9>SIVqv^0T}V;SOU*+cNNpPM`fnUxD_^jkDiwnwVq1%>Dhjfci**FK}_+ zOud{es4SeE>JK`?f8`UBBP4i6Sh@_pFdVL*uH_mus{#y(j(Fl`(^E0@ne%KFin&3P zJuqmK!YQOc-WfSNPfA+_8^a44r)22SbL1j)>nRbYLtSX@ot)EH75w*Oj3W8s)W80q zlSTpg>(acv9$T!x{KW5p;gNo0-M`{KQ}pYaZ(=>XM#QNP2^ z0SPZ)hJRbi;vve_TpfeZhTc955!~A!_*P|wqrMay7Nout`Y!h`IsO$n$P#sBb$`?t z@Z*2?=F6?I`k){G4EKKaY4mOQkViA^;lnLxW{;l3QE;vHwzlW|MPGxU1T$5IY<%S*yP~I!kQqZQ z__@fY|15ouJga4C%>U(qnv;R-NyGn(XmBV?9uV}WVE$8RW!>pjz5&wxhW{lRUo9|V zZRkMn_j+1cPYCdbSW-y&gC2qPb)d)sf)sJQ?3BS;8U*4mcg#BEl)#qY6D=I}zin{C z!Vwg|>x(UBE{-Z5+eBlQ(Us{mQRQV4f^QA~ml_WtCaWbcQk3Nht1)AOF^4?faANj+ zJAW1&G#ZVwcOm3aC=S^;ld(vDQZc2zK*6*2V}lDB){-f7yQ#{wn(heUu@tdAAz)6S zUUAnacK-_?NzqZ1gT@lb;ki^Ht>z=+h~zjA%3uf@nfLf zqsxNlJ9tp^z7u5~a1MR?o+eC>6cfU8j3h)f6PzM)fUgm$-=)Wq*6sUcOj0vAqD;IM zKG{uQ-Y~duU)vuo%wxAqv}oP0HPVfs%wMK+*5mdzKRPLy3pug~crfK|3@?;FYHG2( z{VB1R%a-$7*CSXhu69itNz=i*4b!xT;Fh8RO573z7_SK_u#NicMT$^iCSmcAlsJFeqImIOs36!Ho!`66f)!2Oz>?MYW$uc&G32#f8$8z;^ z{0Xww?VHJ^IeM1Ia>hZr7(bXf>TQA)VmAk16T_yR4&-Z#(H9;?D0yn6mov;CW=sFV z%Oa9?hz*T>;n2pUNJ8+^XIpyy=TPwa9FGY}TLOxj0cPg~w_n!9N7^c`f3Phq3G*Xu zD)PgW?@5g?2tM=z(w}(SvM>ZRaG!;y2M*_>CmI5XEsZMKDk?u6V`m_s5Mk?n?MAE7 z3Zm6GRnqe6`-p#0^Ba!H<$iy<^v91MbgBj9&u~}T*8kZp6F0xB1nKYRN7`&z{~?k@ zty>>*+Ea@|>=LP=s2r`Iu%Y{c8m1$uc_n2-mvSM|1noq&=~hqN9>VSg^%_@og7qit z8IX&VsyrjLOPrBMQ#`XyY8~b6O4^iWO=WuhN|Q*7tlUbpxe3#+7*SGhmHHu@gqJu4 z+ay1z%kKN6uq*%{@m%eOOmsk7HGfnO+ z0OwNqTx#`Ezc>zub9*k$w0DXB=TmN3hO;1`2ab-M2I?4SZ~P9!5bcp5s+mcD1)nQz zUUc<$QU8Gs=wxWlx8kV6E7*z=st0cWN zNwT4y7?DM19|2{0;mC~i;vh>nU&W@)(Ayc%Vr*;(IuJb}dnAr2m?kr7_B~M@k8uh` zmWWG)r*kKsbI?V?iZUBI)e$=jhtz{Aj2kezj@-mS=LA7!W*LWuM$KZBoLx#*?ohrj zPd>ZXKrP9&rGgEvrs$STE{#Rofs+a+TT^LR(qxg)n_P)uX?+!-U|N#B+*GJx@m9F# zsRf{#5_rZr-b^u-1y$p?weSLc`sI;)S9Zd(;<9CBx`^Lbh}(6lZwcSpXotk&Yq8SY zmuM>%;)&!>ZaeO%T2+3t3*VwFn9@yv$6Op5GgWh?s0#OJT@1CRr|Sqa=tZct*BL|2 zh=P^^&a|y`QCR9$#{4=QtF{=*ji|gxK_+juhWsv3;q8%yA8Ru8u#dja4?HEps@din z2%2x=Re}eAH6~l6n5egm##V>cP6ED20*~ru{<8_=m!)w5zI+v;dX0)k`QK8A(u~db z6J;f=mx3rq$v9c>W${Pme`yw`u&_03X5~a!W)gZ*cOXpAy2+>XKd!dH-mQL;7(;kd ziZZ~|rcOH`?sG--)wlQ zLy<2tck**}`2F4_-+e|h*x}ZK`@9bKgqSX&HB&De^dHU_5Wg(XQqrcKr8>Nx-3Mv< zMVjLYM2I`mX0T<-G+ZcA7p`nd$#V0}!#6GXUB(^p>?n3=l|JU#6gTXbVnv=8hk-JZ zI@<`7IWo2vF{}OVuT2x5gwUebX>n6sl<}e60;Xbq9gw6Vu+tC}iX)@qTe`Z!&+Goe zI|*&ZJPgt?F(+X!d6T^`B=D1D2VW0CFl-3ZoIxh)sali13N^R|k~HVMCmEp0q)f_| zy#Gx=&*fJ%A*UYYuR(|UJ~jVa7Jkv=U^prT{E=tl9${~UZF$djqdTy60yRB;o$Kab zy+Jh>h5+F|Sb3R%xqll|B-{Jx{+|bBjU?C7_>Q#3N*|_wx^9a^EJaL8w54@hQ%u&N z)N$tBD^Vp=Bc*%>mV53?7)L2N^?upY3qfkULC|hc z8j|wBs?+i$llabg)nZ#kEbF!@^(^=ynheO%Be&EMKi<_no)gG;4dD?lhc$*T&zq1d44Gg7qa& zTtn~66#Hl+Sk0Z#P`?`JA`?m77kqza*q;qndF}BI6kp{;u z^I$6`5M=owtO}#M7a)PiN*K#iv^th#lL~jtJS4AE6DxCpEr~yzr-H5h#dI^&e)ZGG zV7?2_HHSs*Smbp-+eXuCbE;!hr$QCFeNWPk|M(U7Upu8K8LEpbteN2!-ru7mnww+Pv@ngC5dNN0?hzMK_zMGb|Y#(c|c~(PT z^>;b)h7znkddL{EC5!cBN2&FUWsK6e=Y@-YhX;n%p4MV^7E`j40K^0$@^CrK4YjRt z64CG8Tj*)jNE~ExFW~ob$T`axX)10nR2_zur@$U zqnE`CJ=65*@B1@Q6JskT~{gD7W~r zl_0jDvic89O$ZRDL7KJsoF&YWh*=TdAZ|ck&P43|7p+2+`12e59VV%G1?&x8cE3+t z+m+bM&({WaI^b;&dZV^ZP;SmWLC8)Q0mlx&@IMb#bfOT!H+KNOxnNEP%C??0^K?Y0 z2^BqOs8moXz=O`R|8;1JmOuY1{harAdrFn+FOFuyStz0^T`}IYn4NYBHQk5|Q|v0TC?$!{ z39MR|A**^*VkNEvELB)xbl|>=WEzNV0 zf&0kTv|z}k@aN@b*Pa0NMAKr|yk))-Ym#UGskfWNtI$z`agg?^fEjixVeme?;sh&6 zJ5eNkov>Z|Hbctt5HHr^tmNn)&+sXVv$RrZnn+?ICT3nXJT+S8m>3a-N((9%Evd1vDI{&+t%iNEkxkDp;Awd9mz2mnP*_LviY|NbQtcF>W26~Ffkr@q>&j;VxwEyVVh-!Mi5m=s0jEJI|`!;bCx7_A7l%NyG?*J0>m$!|#YS0(Bf zDPKYpCnTW_xqc87j$5xedGV7lBC8^keg;M5T#&x#=ZJs4kgY;?nnT&66)42Xa27^_@ZdR=^gxj(<;^a?++=n zRl3`c<rd%n{cV=f`fplaH-DC?VB-OK@G2>T**iuf)2nQfX~Q^}%91!wd^At7~@ zfBgkM-bbX{d!_*D5oL)DvtDV_0R_ppeaRu%`L~10b2t3pY6{XBpvMHWXYltqP<+*R zPLN>R?+%uK2dGL3GJj`PnuiwO17OGKvTXJo!%udrMWT~Z+CQo9&a02mGn=;Wq*J!` z>$A3=5~kxtTO+IJB`qfd&{{PA&JlQR&=9>FN6lcG&zQg0Dad2(w@v@-+n?+Y>goSo z_sXM4o2(D4^b%X+D6=Qr9EwlY|~z47153Vjmsmv$!0L& zBtBpcw4W88Og;(u4vX2!+a};ogSEUnu(t8(hXS_zQg&D7U;4w^-b@b)s)AvBr(W0) z6-ql|gZJr^S?MTL%NwAUsXJC@iHKG4P*1y_ye|j0+;FHP;j6hLcaX}r=VuW(Tqeo2vIXTu#7Y87P+p9U zE@o)jHhKn!W-PwX&H}%_r&s*C_xhBb-MqrGmtykRyx}tOj~_76c5pQ{_Fs!vzMG#P zM!uVm)B2-lyHwqaQ1_)!ot^?3mm4>+#0~tBg*0rKn`vf4kI3dkc&E@LxO{~X9~z+8 zY8yq*Y^Giaw+Xq=--;Z0&%1Yii@^_$ZhbwF^-hp2ffjUs*@9CTdXnN+({Vk^>I){Q z74z}^W~QkU?OUE{Rt>-;h{_eJZf)c5Ri`KRq;vN}jo#yl5yyD{j^3B}*pW?vn66#j zD&;16XDXE_DUgqtR~<={0yXb7$*S@sMD~`1M4UNFP82G{4c%%J*OjKYPZvaI$E}sN znn48RNz~UN6bZ#PapKLDhgmRN0o;>xq9yOHqU7ym=O^KuLR7}8eb~ev=C=JG60~m`Q8-n*1XC9v$L?5?2!_Vi(&FHZ zDHFs6H%~kt&(1JI%mm%s7lx=6y6cu~k*eeQCYz`g1eR6&H-?WEYp8D+_Kz=1a+8J) z%~gAFFdzC}G&@tMV{V;yNSf8fmvzbLn3hW~R&%X(@cfmz-f7}aWqr2Gp?1bz-NO2U z8*DMj5ex`6oyPTZ_Qe@+1mqj&_^3<|n#CWPm9mEH!R~lYa0 z1ej;08|uTdwwO>E$zGfT{o$fo!j92Ydp~9BFL}ricG>O(_MYy2t9nW-= z;^-{+wyk3X|BS3wv*R0RBsCJP7u_E&di?nz4{~g+e*-S&s$$RoxDRcH=_$eFI+1LWbDV$NnwAV%34GAo z*61jL?}RTm?S~QGC9p+0o24zE+_>_aM|Bs=o_g&+heZb4T&CJ0uV2PejOe7ctMz66P`(|06{S2Ev{g>;b zqwY+%eJg`0_5%0AGPiV^ew1?&iq&TX=nH5S;?~$`B&~Np z7p^1(Omncd^QOXSV`!+SUN~D~db!6KfyP0x79*P?$ zT6$mW^!^oZ%w-5$>OUJC^(5DSn3T8~3Mnd|aZb&IgK%Il`>~JJ*4siQd;KuJ_Kr1d z{<++8vAy*98vtVws`N%e(NOjclTAIGdY(-E+>h7_81E^Gjxz5;grMau7sT2TIF&dc zohpCBf(||$oDX}MDaB+3blj(gZXnNFH{G{)Kep431Ohu4%GUWL8s0j=(1@yG`a64K z0&JcNjkU<&xW!Mg{;r!ZKkJb(+8OT?)DwD9_10{ShFXJ7AtRZ|$Zqy%NeUC@J~Q}xBj z9^FmGqp0HR_SjCy2&CHj(}=;e!dgKy27!D|YnXs){{Ck$O`CLhZ*{#Bd!;QD)M_9W z3mb6t_Vxz5v0hV9hYmtDe~{*JFRU-%7#t3AuwP^O?qANMLGkyf$qT1K3Q$ZbI4=Mj z6<-)>xOZ_G)TqUzPeRN20xa$#LJn~a>>YEoPtGp{1aFiIWO_Lf*+6oC?yqUtUmIaX zLo)MVQTZ0|^@3nVs>Z`*Fj8sYt&MTtHZ%bl&#&(W`&UI%8 z?`7OY7`ZX-9>?*2c+$H?sz29FA}TD{Yl5L)NI0xNLk{=-2uO)FQ?0U{JciWJDpatFQ)fQ2Agp1WEu#D5R@m_U47!A zcd^`ujva)%Y7I){bwoc?(PO$I6~C@d@GvnFBiW@pwo@@eTrPf1hesuYA;xKcpJzG zHy>OVVL&GVId&RcR>!RY%)2)~O-$M11c-2dv2Ib``J!%1hq7yRkz^6ev1@E^r_X_awbF9xe&$RHOB8G)e&wcl<=lsmWI5(H z*$8O`hXDUxBeT~;-n$EuwNiEZNjH_YL!;bLoOb&Z>eOMcwzz+|EikQ^aBYP+%pw!I z_`Yu|x>KcQBZ;`-*1E2UhI{3X{;Qv1_v=@VeHGF-2588V?Y;B2H~BC-9|^oBfCp}N zY(3~T!26zS1%tT_WLSnnJEU_oU}|##R}KKbj1PRvLj!Lz-f+EolwY0DJI|hYdQ7^M za5ol_X|qkfS0HhT=%ZCY+6a1m1}XCTFQ#6XKf{x2ju{=)86wrrkY9C8X3vGbP#ZDi zY_Dsg%ZKw)`ulWwcGHS}6)E+C7Sz=5ws zW|!j~l*)ONa`dNo!X4XH>ZA6dZ`=gGg5i%u70q;%h#lp;%_Zm-B*s&tO0J}6A+iVA zC`uLVSOkUXdpV*|yiT;Q=N|2A!w4>{K6XVRvLKE4y*>3YE|NXff zFio1+JD8qU&#Cwa8}}*odY2MTdVgq0klx0<^n9tNZOTt#z6A_6MjuW5&t?93lo$P8 z0R~W~8qQd;6o1#p_O`^RwIb&)|5{d_PBrgEO9~~0;|}mkmb;C`IpU(`bO|ob{i=FU z41QUrO~g6R-@VQereLXPPzo&s`zXhjl_{@nSr+jM3`*Rt0YfDZ)9HCDXcH$V!eAz1 zj#kx6lV`k$%C^T)cAJ#VI436a7eWw*n`;syP zBh?!UpSI3{mgk0=I!EpbJPRw7=i;AX$%^5i0ysWnI+;b1eU^`bDWHCBgs03`EYI@|<66hJI4b+~NKo`OQVdT#p#MN`~|1(7POp(So zZeDY;FljMAEB~8mwbfe{oP&`g?D49m4z*C!fz`MsHTiV}=Z{h4YG*YC94jH;jYP4m zyJ#c1?)KVIIhZ*|eiuF;+o*L5>;b<&v(|k70vS5+907|vcKjCWTzocj-aa&Gro?A$ zAA)_JhtxWLwt~Mp5e%xTIZ2sYO)fty#2LR0O|=4z6g4ckj1OoyGY4vrp4N2bCpAeB zlr^|aDozmW?;QiB*%D zUpP9WIQYj${Iof5Y~Z_WS03>l+SJ4+QDmqHnm)T)X~lw>>c!&^)rA2!@13{ z%lG>5?Ci{MAi=jFa`hxYo^|f9IEsZ}(Y!r>2fQ0Dob2WO7bI z4=)D8j~j4J-qiQC`jci_|qmNhV)hC=n};S4{1RQ%P9x<_P-3}r)M00Uq;lb~=l zesm-Sh8_b8jUnx$vkI%(k-sls)4T zqU~}7qXeF43zbSk^q`qn;&Db*LD%3J!8)z6hVap$S}A6m;GE#o9Ndv2{)nqgx4~J8 z4WEBB@5IL4Pyhi-5-!TGqfB#26uP)sz*8e^vLs zBHUs>XL57`UsLbF`$}|p|B=w=%od@qXBxK{<9P<8tQo9t4)Y`F*%-!tP5);qF_q@l6^#1Ing&q3a%Mp{G!dA&eRXXO%1FOuUx>fK+J%P-)H4e@j z9sV-f)r}1?5TxTK1_?42)CWKb6MMa%d=oF*vLa(huI+2{YwNz~y%94$SdWthJ$=lu zs-#AJEaSrtf`L1vXBZ&Mul7+e_COC@d$48EoMcP?LM z@e&H6xeUpf`-+%yPMWg9GA)(YoPZzDYDoicPa$Qejc;_|EUV1Uf%kn5jnCf{OH=Dn zE9)Ct1+jtzbW8on%C=qCe;PLPXi^o5v7nyQW~@CFJX` z??f?PeQ8$u6wu(PM7!psy9Nua_UOMV-a~5ab2}<|x7_jw00aD|1wrhZo?2nn&aV4J z?-rr|e{q8&lOyH-+4>MfZH9DP-f~0hEvA&lIcLi0o<+BK2EVTfHF)vp#nL(bu1_A8 z8f#OT^gE%v>-U4_?md2p$Mw08Ao)O)w3lP=jSSXg+0fEAs<1TYaxzb3ccLW`6&ya!hT$8K6bsGQxD1r&evxCOiq12VM_$rlQ~b)3Rd^?T{d9R7xC0FKzQ zvL0j;X8sUl2EQ% zR*;vDJ_hX4E%QScs-r;6JuoTazm}7yMKKP2`_op`N4FOhDb%yiXD8m))1($Uxbx${ z5o!50&x8f79HN|M>GPAC-iv|^cK|7iS#k`1(nh`vN4Bro;Dq`8AD=&+0-1CQ#I!ND zq&U|?GK9>BodxPkpiYOJ+W&4#4*ZQZtZ|4FxoWkqrEavk$dT}%uOpUMa}8Ox4zCLN6pZ+v5y875<|FKxyZOtb`z zHyieRCUy$sCq3NV)AsIN+x(yI&dtB>y9>Uog$E_|vF)t_g+TP_OzL3{IAa34K|Ynj zYgc=&S>+y=X@2F`W%{@7?$@2+)P3jgWxD-9zM- zW{5IYD0(0*BSblN5|G<9b~vQ&GryC!G7kxHZ=hWc|lDJi5h( z2;!FBVa-tatW%5F-KJF8E(b?KF)YAOG%dOF<~llWEc6PPEC>23e5~n_DOR;53R?7?^SfC$W&6@V zJ%P9bX<|&snFAQMQDG8(%8A2B3K)vaCy|q3;yj>?ZS~|ljmN^suKTX>0O9r{$Yq1Q zaZYAN7AISUJf+{~?k-W9V9(9dG*ZsHIfXHd^Un2Ai&$9NH}N=B!EEr3n^X^&wABUW z>wa8`ec#u+6~rB_YjyqsDnDBwwM%v(+x%JjVA<%|8_NAZ);y`G|4@fUtnR+?STJftX8prw7QT@3|qje5MXa{>RZ+0uj)Iyp^RTs7YzQ2K}BoAUZc= z-y6}ADQc))C`l$aAN@5@&Xj*c4C9h6jz6}4b~ZI;+7fN}CcasP{v8DMEwxFzw6O^9cN&0X>qHKFb}cns(`SYWDr*VJvU>nJ1!^W?G^N z7sFlEC0bY#ZYtuz71#M|%!FK-_gCf|11O@r5r_SnaR1l!$H0FJlgrIsm`xRvxGy4n zW~0u{1|TT2aD*21!>Q%n0NsYeS3TJB>!pH96cRQ`X77Zp?I>|kbCIRf+m9(R%3FRP zfb^M}&)|g-bU+J5>C!?OI=fHH6zD}cO|1Yd_?Q!JcS^Jh&?4vlqHY`7j7q<*{=n_O zpZ@&`LJSS@M3xLPRmP0^#0h!dP-0U`a1_F7j8b<-L0}`}PIN75%n3KW%j}CqDPSrz z0{N2GX88y}WNl+=mnuZ^1&^SQ=@f(fb<^s=tAB#&G!zO9jR~?+$5kL_156bE4@q<;`@>`oieXXbxuO{(=YB!w{Jv`luDm9kB5hcL7rK|BvpWM|5oCaSfboEx8}H( z3E!RC#;Z7#Rx2?EHo#NxEhQd`Pdn15d&8<>pK@BhsnyHRL@nArp}N!h^(J_~%R91i z@mq}dh2~xn`u%BF{Tf6vDNY&bJ(p1b0=`P6@aszV^9ue&i~r>~pY;u3^7DIahDu{U zPAM$(zy8ep_DBNj=xi?nDlS=RrWKxb-~Y#ct7Er&y3zf5Bf;I%F<8QI)xK2hx7VQxR;mf4D-1r{vMs#FzaFr)t*C-!*U#AVd2Sc=ruE81GL7Id+rKpHF4BZC&He=1Vk z4d*>>HI()-@7>}4sU%ASruTDx?IOXmrzDIR6{EZ6ZHA`SJj4gC_xYI>6F1Zfz|wkiqf)Rpx?3`H0PY@?Y5y=`#R>6T zqab|g$UEFvv*ZZSi-^YdrPH=;h6QN|t%b+=Uj%+2v=ry@PE)!QL;c-#pnLjh*1GLG>k)nOpIQpH>ge?@sd4T%G3tI>Ro%{6;C2ht4M)v2hctXj0P(~ zG*@Cw`FVNb6771-V5n8sQyz8A+(^q=;3+GC)`|m{E33FlBpnoS>0Nk}?!fVkYX@lR zuZ8`e$Rqb;`|+T}kjZt6U}+WUY{lWe3u_4!If90ZgR99;9DJMjp>-wa%w?=_|Hsi; zMP=2kQTU@lO1c~A?(UZEl9C3cySr0Ty1PZ`?rspI8-D2);VchVTrdXk?Y-B2W6o## zz*K=`JH78H-aEHcZBbIiwQf3BiB8Edr!kNDt-)+lG~OPxUU8YG^oq&6aR#F!2Lo7I zg79-QAq-F4PMnH|~apdD; z=1|KQUDBk{%O@Mv{QxH#kiXWif#KYGuZf+<{e~GkXhdwj-g(1>|M{2}Je7iHy|_H^ zO)BKKg^-D2UY5}iZowfZgLbM3aux-b3f*au5CdD{zT3o|P{82p|ECUg! z2UbhiuY&;C0p#EKW|E<6iVWQ+Z`l}{SM=t%)|B79$V-lGx_aW z8qPKSDNW&Z=sbP`xD)Xa>kXS4miXHy>YTX+aEwCapy?*eCGKaw=wp=dc1N_SF zx<&n0o-aHfAmp5#VtiGIk}jY7YU6|gwV{{xMnpo#Q-1hb!l$QL+(s7_j}{` zPHfxPX(Z;Z_k+}*t$6j|dmehGVHYDOfS4IzgFQLKtTIz8p?;C8kKn*XY(eT&h!A6! zGolv+(>%P9IlnWV)@F**_;kDX%S$npoq>&631;FFNTkWb`Xo{kdQJ`cSkZNUvp9#Ia?^pQ@^Z(Bd+h z2_8Vya(;LhVp&7G&ZW0qA#)KPn{%klgLL#$_x6)|S4sKnHU^)=`i~~PNna;R@4eFY z>q&j`e&{QCj+18wxv)%kk3&v7hkf-}nk+fh`~pg*5H$t|kRz2Jy^GE?^yF45As+@m zJ`r3k&IHiRHS{!IsDrowlhqi%wcyL8uvoYZp^)A{jgp`C{ujLwVwoF%K!C|r2zu^> zrGpgW%ISq+EQ31quOr<$rP7WJgX!q@ekG5jN*m!%p^*AF=|>{AR^K2}c(Ms}=V#ql zjNNm#&0uO+KwqGqIF&IEN4$zf|keTD`39T$_H0o;fKyzb7d;N{T=wvw!5KS5S4D+MRj(zQ=XY`Deya@v0sAWFzsUZveW{tj5z3-{Sw9aiNnE^39 zT#;UKw=RJ0VaO8ja-Ek2=H*3)TDgZnI7uwe3By8w0uO>bz|FY5qKMTIgDi)O8ulWHV$=h@yFf+Wo7+&v=yb1mgEs{G+bkSeN`g6O;O~+F5GltqK*WSi zQfv_E+I1BeEG}$9&ET|P&~zGYWRf>b^E<3R{Oj=!8$a($DQb&8H=#|kZ#oU#^fjWJ zQ_mwHc|f0$w8CQQKH#>R)mgR4Y0{VyS-PC3-a^C`BjZ&&y;SD{06HWLgW~(~`jBbnK!?uS0aokoSHupt zw+xa5xg=E}=h#VrF_+fyF1FZ3nKi`&PGL*Uh)sJCtZqN_4@3sld(xwtd9L-JKU+cM zf~&y0LbLesVqK3Y0sp^tL7e3y10va$DKlDa6l!e-Zs1r3J8W>fD|m}EWKXgo;k>_~ z>^aNe6u>f3P)LTo3L%uo4)5EQCW|)Kn?|#q=6^pAwtXzP*G%JtaR--|my?su0y1EZYeXO%TiZ@y_#IQpAqrU@CgYhFjT}j~rx% zzf83shxz!>+GWw$-lqGhs{2io;4jqnb(Wuom^(iVXP+xQg}qe?KD8%*=Y}?dbvJ)X zgj)EM*To_t1+AO7)yo3bve*%=Qbbwyq?(eSyO0sO-2T6!0)tG|*BR6#!OvW=yh(-Y zUsp(uIkp(y!Y%4S;$6*YV?Q=6?8+p#6h2q|H&hv)YV%QAAr`*zrJ(EFxm7BknIz^~ z2*85>ofOH`qoA)$!pBYobr(?hAO8Bs6Y3i^-;wO8syzcQ*6vpT$L)UPeGQk;Z>1HY zslM;Mp5X_~j`Mx5__ui0zb;9FYU{Hx&;#2+x$}jZAWlZLtCk>?8n&P*oft~|9rDRc>0U)@hz#Q{=+mm)$8=8#q3+D; zmhYPQDMg<1MUa_UjX`qyiI5&3-U2)h5VA%8Q@~K;0CXu*L-1<>SIqoAv2VRAE;@lR%dQEDpxmG(umsgqK+wBrkSEG zA^hT7i@sefC& zJ@y7F+T3`p{T6Af8=2gw&zl#M_!rRLvQN-p(o_uP2Sy0FB7RTvc`pn9_a|NSql-$Z zx5He%+}cGMH6DG+<%}kE!M^*GX~o=i zM;hK-nFmiI8x&0aDaZtICUp6)3GPT%;12rn{X5VVE56&(1R3F@)oO0Yqozf8KY#wr zoIV6YMZL64u&9co0Iz4zEQ0B9`+5|OuTr|yp7Ym$!cqgpWg3W-3u9liw_+;%bY3`~ z6hAH{veK=A&yID{Jfvdpgh-5mp=4&fPr}f% zYEhykG9IQBf#2L5ukR6T<3N=`?EJoNS@HlznJxA5$h@$w2r1ZCmEn&`NwLH%|MKar zWs_d_=K1ZD_TF0C25-|sZ5rki&=MMXs5{lidt$jN+mxfZ`| zxqS&`=);FqR37u!OXDTn{De#66Vd1WR@<9K3z|7HrvAjS&QzyWc-u^_rn)y`oP6TK zNZ{1qLR<+Tg|V<5Jv9Y-c9Sss{Wj+#fmaQ+&c$OVX*M-m6au?j|-LFWGh zB^?|bu2C%iA?pm7AwMKXb>~ZUA!E8y7y-p<@s?0hO+qFIyWcTHvmwT2yesU@|^ zEH`G{9cjk6Cc#Mop@g*=4_>I{gA$9DjQsiCY78zYOa&^~uZ}TMoG$-|J_9AMxnSIe za8d`^KzwUUvd`uA-QZrX#oX~2ea*1)FZ73e)K|(#D90%wtfKuM}Ztl z=cJ=N0-{W2wLzN|EMJhT@NiYRh{r5kyc-%xWP=KB&fi}_5DY|LWqe~@=&$fEdrA8;-Y}ks7>-z=s3iRUU1Ql);fCb!*0hJ6(K=2oh8ULC z*PGhjf~)mjMCpsry`_lKcDpX(MTrewh)h5Mmr|2`#j!VE{nPEZdMC1xc`CsNK2y!8 zp=@b;vc_oiOF6>_aw)!m%;y|U5&Zk+KswF744xZA zXzKlekogp>Jgl6y*~p5w?UrmGW{=J#PYNa%U`*X0@<=gU<^?F;I!Gw`OVYaJP0fNatB3Q1CS7CP;N7$fnIMd@8VkP^5oUQH2saYX&ly-|oY^ zSvnrzx4n}O_VxwJR>Y6$6i{=^paH7X&Pw@nyOCA0A<2CPJnCutES@oH>Q@bvqrG-? zN>!(hE&|7C#Zm#(M(5Ihr7EaiS)fe`q9}8eWf?*Ao+_j^q9+95Z^G-P=)!-1?gyfr zPpRd>`|%M#`w9ym&tG58sqO=kslinRqgI~7cV!&vxO2jJG$Ae2>ZM3zfk)5V+uPuo?hzY( z7*m%bkgnjML84z=;hPRjf*Pq5Cyvedu8DUdY$G9dNc=4|6+URbrzK0`WB^48vwkB8AjPHM&qrsx|#uWG-SZLSGERU$iIITSr4z zf8d70i7$c;KCW4qk}ZRVZJ%nHjQ}y4X^v!9fc{!wX5w{H4;}hDXo`dam^OTnr%~60 zjO~XF5&s2%RrO@2TkTt638#WN@wi-CWqgeMuSXV$tU-Pu>e*Ok5kDE58LUOIqR5n} zg>^_NwdS~PUrGyk$#uxaoLOWn?o`O=bEr~RXT?X`QgFPRHGqtEsv^?lvhuSCR zZrXLBvFuRr^5Knq*fDh3NX_QtrIR2i`VQ2 zaGryU@R;}d=k9&%U$+98h_V=nemm% z0lFROqz{B0^Ozy)Bw`eN`jT_(%WS|dy8)`6|1U&*F1CWsOhE+9lB02~e~fC1R)wZk zUKx=u>{5|DnORR}X>kh{PsBq!-d zw$_o4jC|U;{uw5Tx*(Vp%TGUYS!#@xCZljKN(tkEb-WS4%Zoo0QpMeqHp8iYe+2YS zJ(l!;TmSU&eNQ3FugbMboFLB#7_A)~&`aQtyTVKt21Hs;x3&UbIn@-rMe#l!BRFn+g3Vt~sHAqTQbS%+7|7p69ylPdlP_ z?`Bv79^VshNnap=Jj<)MvBMujY4s9G0Rgi4$B&5AjM54hRTy#gJ`poqN;|iJ1`~7m zi!lisBVXj^L%M)`${rn?ii`&>kGG5ji$6J7N^fGOhqtf}i8WBRSNNCD?}58^^N&w} zgGkTmM5e8HoA z>wQzG&7AJO7}I6^2e;t0SW|a)AYeKAkLy6uqR$$%qgT4l-MgwmnlI=ZtZa?x!UV3I z?Z?F?>k3`BdTC(J-8O4I!{UG`KC-rWpI&G}U8kQaAe(1|3vUm~g5AbH4>B0ZDA0bE z6mTLPZQBRK3NE29wYuD+6Gy6tA*_5G-aJ_p#VgPkg|DgUzr>G5t+~t|3*_`;o)jO` zOi>73$Im|xo=fM#WEFTnq(oh?li!{zH;TK9d@<{hM`Rt9bmN=~Wg5R2vZes8mirME zN0;j#z;itiA%+DoOh<^J*lE=}vBZ4!&|VIcmKud~o4$npB%djNtruFrtwA3YJcYLw zVk*$$)4-STEuNlI-Tc;sp1t#nL@JF#93fS2UulN)a)k>$_&DJ5p0`W3o}mA{mRrZ5BW9p zFm+?HbWU&HRec#f;R-2K=De`SHsyx8^bjDa{t6bo_$aCteG&_>2(Y{1k-nj*kTFMH z$7hi20C<2VQp47qE@)mTShz?$O<>XAwq`~#pM>sDrTXgAKo=~KGX>hAEbar*C&m3v zoLe|w+47Jn?UI>R)c{~W$7=%Tx>N&q>)n*sU+ zQT*uQf7&rnItO;g$-od3QNhTg_jBh>D+V^BrQ`KCvT!M)E5jR>&O&1hyGZ-wIR8=D z7^#VSVr_n&u|tF_=pSp|K-Q4ZIa+PY?+2hL+NyWWy#9VfIQFmMUUlV zK@-^uAbd)LIKp8cˉEuP-ikIr^;N-U-p=a1pIIn#7y;R+#)ETt|c?}BLX2NCrG z=-kr~qFRv@bp63I2Rc)Y&`KOu{7j9{EXQb{-c`i9Ak{@Vn<)PZ64UJ6aVHI2!1$>> zp~4si#UROmxlh1&Lhj|<-$3HTdDCq36(E97BcXPF=rj8zb!eVX!_h{3{sF@A{^65+ zlSbb6!X_C+;tb)&$OJk7=x!mkR!@v>+&?tz{hzioiOG^47(i*af~G5{C2w^S zYLMH8MThhH%5&r_Gfn(=3A@%%o@QB3mY0q3CzPCdspUPvlDdM`=&^bLouJ=Db{{xD!=RW? zz??Gn*tb1Og25TM4uDmC@#Wu|nm$sj9|FAh0|n^ZZ7I$ZDIM^H{uHco0lybObBm3{ ze`a%PFXa6eh{Q%12Qn0-(vQAq!JF3UA^$UZE0tXt(P-_Br0}UMFwRLhLHfM)ImE~J zIphuhDbumSv7cJ1s1r*U)q5>=`!MbJ!S;PY?RiS}6M&Z{Q5)*tybc}6m zX_0w%D0Rh6{|KD>Oyc->LB-z3{iSdX&_xUJk<_*5(Cbb3GX(X#hZ^OhB?nQ(iR0bzTc~CN2@S{O#PQWWid>g`**E z7fY9ssDtTfT*%qH(SrX3cZIF!B3dJTFpn}nh>Q&IHlC9eK&qWl`tWDyE|X$b0=}n; zpy%|R2`frUFpguYa@np#Z;*Bsp#3en{RVRkO`PiZCYR3~nI`tzdY^mw#1b6Og=f2K zrh20>N3^k#I_~8N%%#f$xCt;UC?6=0E_;s_pUj!EvrT1s9}n9XhU66WGL!6Kj=_X{ zsuk#Q+e{!q@6t*W$PcM6^bX?&He29Y4I6a1-u6XJ%Hna;!eBwMQ%~S%z0_uOEShH; zV2skoYy~w!55e%w@@>&})M-~6gmai4F+3?IZGC7t1A?9EjP%mdDr#*Kb|m7;>eWUL{9!WHW}H_KD`$Y7z&-yXm;OSN_Ad5LN$q#Id~HL0)3w zkif#kvR?{jsdER&oE8Fqx2}IvYLVsGX>FEj6gt<+kZdW=AXOs-26~NT91qSb(o)!S ziy@Vfg%T-Q%nCdqeU!$+O{AoxLb@F>-Qq3|L7#%e*x18xBI6A}Sl&cf6XOGDk`WyUZN&1dVlO8f26IUbT^Jvs@Yf zSBy>1Ioe}QHmwK}hAST53pX%#FU|~oT02q8H;8G(uPiO}xs4^Y)1_AT2B&YvvL78c z9A|l$S@cPG5;muMRq*#@S6Q9rTDTQhyFX?PftU^JpE>Q;0Ab>1tw?0!n+`ZOg$W}} zdHS|GF}Se2K#KfEiFfWpm>sw6hCIFJxOtF8x=ff9nBZJHltA^8^6zTJFP3Ef4-^N1 z_b)(h4nXn4U|u&7s`+Jfzz3ubXlB5ge$jU02ss>6H{)Vn9*0DQHe87j4Ky8LgP4$j zcE6xN?W0iNfF*IsqYFh%5el{d|f zy?(zY4z63jBCjk;%@H_#pBY4xKn|N2!5M(th3BJf8lEYbg&shuv)O3p^7}%L=(O_R z@9pi|0rDD3Y>8laZ;?DQQc_Cg*eRa*V{F1pu=ciF(Dq{8QUC)@ejyPn_mA}8I@o$#So#M24iXV`F& z`vcW+dQJE4dO;i(ge5EEJ=AM55vIhuWTLg`HZ2{6+ufK}dhw)CvGUO0z~lj@%BWbF zRhRBk$E}G$uBnx*0=omQ21o%#I*|j#N|F;PT9Ckub+h@W$M}I9{4c2V90%9@!No{S z09$L&$hwqyz|M}4>WiVs)bE$fs#m^HlZoJp*Xt|eOY8nuD`*{fZBVe0q!~^^&eq$9 z8x=Y*hxPMkpjQ}pt6J)rYEnnx4%v$x#km+FPki^4GaxhJY{P-xDS8>TYJxPjHr!au zxbK@RKu`dtq#IkQ#HugY2HDsq-gf^VQEqw*h(WP1*fKMbw1W)q1nOy&#iv?sXm1szf2%4asSt&$((B9(>bc0ka z074kte4jhG<_iV3_^vuTZHz#d}Vtk z^1Va97!CA$oBzdu2Zb5lBCC{Zl`ff++UI-i+3GS1Sy#M+k%hLKj+>5_j@zLJ{(`2J zg^Z<4hv)eH1{Ujp8k`&vgZ(_+u4YM#-AuVX)RN;&z}LU*weX;1W~IxUc8U0S5MI3r zgm+6g4NGRFdYfc#n8{5lf`t`_Nk4e6o+i*wdhcBxS2oXah8Islrg+;TZoiQ|)(X>U z62|kgwhu-6_;L?Q2uX%VF#>!B_)<-l5;pA;RFmN|#(Kn8E|InsjDwX>d!M^u);OoO zkrFV+MLLOR78F49C31|@bPmIcgiB&i;nJtFjE_`901^7*06tPMBvobkS8L=Q8YmOS zgoU_|9u9=+!f)~OBgb!^__1I9?~12%hmG|16F@7P4xua8Fc-DGR-AYj_5NIHm2E3_ z&IP_M0Ujp)+is0$`MsdZ)ABqfLWtCWAtDES`i(m#wOqZfeI=A5yXwBhIq3-Z%^61B z*-`fQk#3G!-eIi(zhb&+g6<#{9kPDU&JD=TG!;+y#<+?+=U!|Z#Y?x#Z{ih` z5lXk*7920CrDa63+Oo?ADQ1FvWgzZTDA^g>70Sma(1I*i%)Eu>&=nNIjM&EKkddR9 zzg9|#>f3BgD%nHM5^eDfzuL0cUqW+ z6b9a(R#s)&RY}*QOJAIyT+?rF44$$Q9TLMp0SL-xcAJPm9?0BQdK+EWDR&m z>RhAzNr=xMfmP*5J7R{SC9 z3nC2PwyW#B+fO&P{aM4GP7LF9F~vV8O)aysk2U0C*Q`$oRGmLN{6I=UMH^X1j0F)= z(p8vLi8}ib80^!6;Z*u~l2)I+5Qg}9F(Rb{EwM^KhqK~%-He6HR@~ag23r3`gy^#= zemG##BL?T|*9aV5z|I(HPAjT?Nc$GdGL}_^!3*=vY5e0iaS3iUJAPu$8yv-tQ`g9% z<=nlj{+G!9O9@Y4Wr6qV`!=aR#2dhG*-KUFLQQq67N7pUfQlU0nxU#l3ouFSiv=NY zTG#HYGOTZ}3pG)5TvFtL@jI>?N?t+n74yN!Y+%_B$xewGe80XGICXEd(;S~^NOe6WF}4+b`m_(>p0E{-B9 z@{F-Um20iv0 zx}NCt7-sVH@$H}R;^bEhQMk~m9@mZ{^;8VaI-+8o%ZV~azPjNYq3tLhSi+1K1{fd| zV8ZzD8L7V>m>FF|zRauymV|B=darqR{e(rrR2*0(fMAfA;o{6FjSVa|+arfTe=j6Q z9NXvMRlah`pxHMInr*?74v5!P~mY1GI_!B6Tka@NXf8P(_ZX6d*NZcx&mQ(~!G@ zSO>DFOc-x1j-KE&mnok*)mauywuQ>>+mgkHyUWIb``QC7-8Jog8Yg>8MtTkAoW!JH~mqgz;Mx`pwJKnsa4r`R|6fJfK zyL{eaCycv#6k5sDtgKI0wBIk9CTIoO;18{v=XnOd=9Q3=4Uw`Po(x#hr%4yNT{tc+ z3s9}^&~R>Menc1fB#4%+O_z6dER60cqGf&ma2wG=GEP+>U~OFFu2^ejZbLAW07oOd z;-`75+m$n&hpsTscGOaWtj+l3$S=ErHUT`IlxWBdoBF|FmEq_lZ&p7|Q*7@S+NCpLcvLr6bN8YW`5owy82c_X>oSF#KJ+4xMUH^Jz{6XJck(x| z2@q3UVPATsdS@MUoo>j?WcHBdo3X1ci|(org#zkqWZpJlu@|sn`?$JFX~A>^lp{NK zII%=Ue(o9FO4X3h)DKC}t#`^6^f|unj}0b-a$qT=qg^|=gPZ?lG4fUp{TBw8GsDbO zt9NI-p@Hsg_UKMJ4nP0bVU+~>LOQUR8&0)@bj&eUfh#9WGqe8{f zM){9Wv$r#K&JXCUyEkQpWI_DPM=}(6Af(l0DxE)8ufPsBt zkWGg+Wx5LRu+-5funwD+R+eYzzYhF7u{3wcMa0$(q?2Vv#N7}P5kc!`%bO12RV)g7 zL#FcCOdRAA9-X5PGrH#q|L5kosM;!Z17pB6j%RdxlomNsg^lsucyZG}3tO&<>DxJ3 z;2B-CFfo7k0BJ?88WzsvgNZ6qXikmi#jTItjmvJsJoo#@Kx@)Q=?X?!Gd_Kap|zmO zP=Z>&+J`M)#m3F^T{YR~-cW*jiwhSJa%&nW5%=)rj2X@^sn+n*Zq8rDME;BaesUiE z0{CQXaXB>+x`#nG5VpJ~TSS3rVex6j44)Z!J#qvDWwNCIi(ip82fITyeApnRGR~q| zM=k*+AZ!or)n>v40*h?CLj}!$cJ!aCt5+_ggf4AoE6<@zDc7b@&uO?iQm)p2dLIxW zdMO1~=~0Md%6r#dr{nS;yJpEl%PMr4Y->p7EUm0$H4_l+i@xr^>)I&){vJG1_1{|v zVIc9imoJb`GDTNOW!Ri|LW&M~58

    LZoNzyF{B85$4KSoQ(M{b#YZnPGk)Gjh?dP zoq^99Ki1$>01K~=t%oL#TBrpFtRim*cU^TpUJg(k{;Dzf0kYW&iOYLE!i|m5?FYqR zAzi%G-wXRK-ojd^(QoLQ8Oqfbz3X`l%n?E92S*6N8{(s3&a3IdbX+9aPE|Gs2;6ab ziIrMEU-F8mttSMO=GX`Y=}Lj|@==a6CAURqVU}x%*`IsYD$x3IN0tkVU}pK)^22^&OFJoHkci!HOMh7Lu+pUZ{D=#e?1YE2Y_Z;Xiwht4fZJ$G+0f zCFCr|)Qs5_WiJ-2v~*{0s@_R=SZl(Os{hX@%Kien7E$1(599 z^Azy3(tl&jRe04xMtz9gRx901nGIn>!NBAKNML`~Ax;*#jv$?|;P>6CLp*WkY+*l! z_+6l)Ol!bF)oK|30Xi1lyg|aEyiFHY{B3v{k9^gl{udz=eUB+x=KPSW%S(1w@7=6+ zc2yW&R4)C*u!FY3>sA3%e0?H5+M5S4LD^s741&WI9*Un#!$od|G`(m%>A%9`w!-}i zE5CCG_K5|0gt=l(j_Arc+;@jj*kIhLcymlHN> zg5?_p#~WKv#2Mim;mz0m@w^(?B|5!H=#x=pVXr8QII0oYt+~Y>AM=)uI~);KFS%4P zyud!(<*eq%#>uVszwp|D7`F#{uk#%bY(Hhc5Wqsf%4@2vEXGhC(~O7ci(FH|Y$o!d zNYZ@Yu?ZopqLL^_|D@GGpRvgh}I zijz!S2Jg4CvvfbUEb#gf>RG9UErk_lRZk`W|wmAIgJCkmjt3lXd#$>PBRf~GzL9|6VPo7e2 ztOTrubF8_w{jy`mHt&1r(?vIFXwij~R#dZHQWe6IaRY*5Y}xS14N!P&2R8D1ctvPo zMVKy=5H7h2X02Vp|9toh__NrF(Jswzx{9uQMV^j|qR>x(!76*-%Lrdzgcas`>d>o` zcK(L4dh+MA=wxJ$hiJ|+{*u;#+9XmAPq<>5KEyoTc>_n$uYl&wkWJY_GO27m@hp7)v z1|Bw4J{QKylHSA-<)PO|-?c$8P)(42D29%X@0zrWJ3_U+L!^7>SVt+hGxXS893-70 zDq!}3Nterw_)Ciar}?Y79Zqu7!YzxSTp)}z#p(GH=ak&hrI#P}W%_Wj(nD3Nd5$=< zc2#$dP}I%tH+ICRI4b&5vznppOL}SJwYJNF@wB`Wj<8eX@*p2 z<9+)mwipkB8K3%%C>yu>o946(O))odoVGK{=oSKxZ%6MP@jw5{8@ujdmytmbVj+P0 zI01xF{f#q7<)%H0vPO*}-Ccf}i*FlTKw05)|j) zD&$rB#l)hj@T0pf*KcB3g#bFzxXYIy-m0OFKQRlrX`b*|ASi+e*W=v_(GwGSlv9wD z+M65~xw}Xyn2{GuQ7?(jh$;T`QS+~pG?bce2RmGk+EJsU_fM)Mv5Pf1P0%pm>Kf*I zdE}UaKqCf)>^^IwM`bh+D^mo-j~Mi+3Xi^|*=l;OmR9Cev3bN@1E4Egp z`qXPwzXW>gwI2=+#P@hN7XRuxQ;m3XKDQ(^c*&zWlgn*dO~=8eZ%N}*|G7`xDU<;6 zDk?wu3-@I&d;|2r)bd48bU2DWV{+s%-svO7PBCD2ZvCwqFmCHWG!uHzCpr~XZHBv&$zoU%Q zWnn1a&j#dT5_58^)WA0)FI74dWHrAGQYriLc8xN!;vHhyBSpeQz?{n5(mw4wEO@(* z?K`ui_d~gNNHxc{BRMKtX2)#CN)^vqU%32hh@oPP<6Hx^sRtW?BB+Wq}Kzl(0CGEZxvFR_WjR=f$OWT#{qj9M_4g&1%%N^o zh@rn=esMRd1pxo7_>V5&xIa7lT%c+K<(aayZMc|1dPu;xuG+W!4KDwj3l(7Gzbxl6A-2bkk@+0)6BaoiJ;$&jgj-hsBzV21uLK* z2-OYl2fRiibmE^nqiRF?ii7h2TfUk(;VX13U7#(91}%txL*S30Wp)ZEPLXr4;;Jm^ zAb7+o&yOa$%wzkMa{5i%!`bIIdp?|KhH!PM&izVbF9`$XgUbnXR#+HP#-@suGO(2X zw!OHW9_L2*;Uj*pvkCs81lF6CyR1Hg{#Kdgi47-<7!9Q#I zmE7}V@B3-CWLx}0sQ=+;xeVM}snpEUvm;+Gc&4}2$WpX#OBQ^Dm9$5o2&_B{^;y2J z+Oe+bphP1Q+#g6u`31ug#!N#Y`l-xsJ|FN>Iy*Xw3FBjK+Z*R=$VVI+#pL}Ae`}^D z_(ytiC%^6kOa=}K*S*^ z_t7Fu`ZXHI`NmxcE%g@3tt8(E;$2)}y#DmNzNi5i9&!5wH*z!^=grs#Q%!Q z&43(1DSm}L;3;dnT(6MN(0h^0Au{~4B}PU<(s{dN5c%U@hd{-j${^vdT+X3KVXEt? zvp~4KJ)p_p=IEGs#r%3iBbn&vX8+M6YtwAkQxZ6ay`a7)~#qmm;OQ<8BI=Ipp&w_+uEL29l|Hz>D5Fdbj*NFv*kUKXVW z<%}7x7@t(**b`%?tYA13G_qI@H=KWwXTnY4Z5kqO;$>Xg2i18B|0$^`xXLu7^++Nr zd&`%q9KH821GC22ERf*{KDB*kJzpp02?MrNTHDv>^MRi@ncFhWx%tVxiZEzk{?N#< zGeBgx#brQx^d0t=%o(EZh9BN(#G0cVX8H{qbGgp_`gD-!VTp38)wUTJkm=#6a-pjg z_N02{r>_$Ur{0SuLj&312vTEvbnP-H#EzvX`hD~^zCy?OJ2=$MTASp;cKKGi zQ1IlCBPx`b{Vn!C`xnMFBm zxZtN6wmSwY4R&XKeE129ZOn|JgfRV|$F4VWw#|gm%Sl1F={yB0LV*s-YeE$CgdGN2A8QMM&p4p7OHv^t;ikT#K7=Sj_lPc+&(XBt7Ja zm5U%&g2rL)p>f7>;h1!^E$!ml!|1nKfvt3yg1QYl%72nUT2fKeHf@20UWo$7@Z1Pd z_K4J(+bD2;F~6k#V~5fehCK}b0R#|&`>!ykL-cv!!wI5?R?In7i_wu#P+I^toTD6Y zowW)6`hS^j&oh*m;S_7lX$mE?)|xEoYGP4VMMOq4kDk9;&P5yBWpQIJYo*HTy=ers zl#t)OO2fj%m}kEiaQJX&Az7!Yy@s8a1I+^+{WM;&`pGp3>#*o#+f$lKh>lN6esz|e zU8oQ!Rp}IWbT)arE>SP<*huN6P`|Q-RgM+MVoi=po2E1_pYC6K?U_sZMwvys?6o2A z=S5x96JIkR%zxVkaaU2B-Iqf|prl4c#w>;i z1K1+?&?mP1yAwLMXhk297~2;U6vXlc{#tOvmsEJ5<~51WG2`- zVnPkN?MM|WH^Mx;q6UI}4OCxsMpMcXf~7aND^Z5$Go{Sa2xVs`bkSw2wvrrN|HIg{ zwhDT|d7S^36oBdgN+7WfIAf==`;?M`@)|sI)LL@hqWR-J=T=~)PVb$X0-?zK0s{JX zZdM3nEzNgZTlurrU`E8LKg@(Xv4!_eEyo3D3q(l%BOKxl`&M~|D+E`+=+;b@X?Eh0 z88QLitq!7l8vV@~#_aWU!3tt~cto3y0Z*^v_ix`3iD#pZ0>Q0Pldt-DiodPGwuos`1bK`G)3t^6}g7SLdat&+PzK zFn>IgjgJBkzEh3Vdz>vDSzV5dh#|s}K4lHpG8hU}CF>JJJ!`UiWjNA>9oORCF&x70@|OmWS=Wa@AIb!Q8{E>=)#*648CASxy#rLhx;JEcR-ISva z9!j6XU+jY0;ZLwjU@+m?ty`3YDd`>?>D(-D6~t5w)@8N=v}WA{l7$ z6R@NJ4|kakVl*6uk7!o87Msg?o}5XQp4_?9pTP$EPyT-NyoRx26fOCfcf^s^RO?H! zLQ~Q3lfXO=vZQaHnnGb3Hc9yg{Sk19N0FM9Ck1F>P|BMes;^E5N-{|60TAqr^Vynb! zl!}UKrOD&9xIJd&?4}ak%=_B{CL@^~GAjmmSVzkKcgF#=jz2t*QJ0@68*#KWCc$Q} zIfyWxjQ7wiuY>cO%l5~6;Hg{Q1-U>xyCm&b@)9}L)0g@(?YRxft~@TW@9hQJ0~STj zGhd;QC?{9_A{77d?SLv8%~eKtN)C1ldpS*g!&)Oj++L0&&Uqj*9NnV~Kg);^I0Ag3 z$17fIVO-Ky-b%1%&ve~;2-DGzTA+ZrWciI>%qjS%LQW_=F6W=(%SIoD6~S3A>0oEv zUt;R2jImI!QP-h4f>MsyWFA_;5l-I1Lo;hp?$v=G>mZkgY9^CV_zq9z{N5B1x=i8R z5@hg_=nmhR*7mU`TX2!GS4ctHtZLmQ^APu*wCINg^C2IFF|R!%u0uj#JK+#sCt>Q- z)s~7hGd@VzOL-KyPuNSmOuMkOPa-E~jxRM{BsvflkVl-hugj}bm}AP5;w~3tIn$xo zprS@>h!3%x84eH{aHLMWSY?kPngLq?-HXX0YTine{m+v;NBxX4#%F{V)DkuNWne#@ z$M<{0H1)7s#09Q@HqQFm+9!WgEs8KSTQVSfz(W0$wiDTfENJ+1vuEl7BAxTwkc{Aq zAfxu!+a@y(I=C}Dsrsu^5St(Hco|SYOd2ukTvLXA{jK2Fg{e&}v(`&>7SZQ48=3-a zFpU=~I@)m4KDzvDG0OQw2~PDHBUTBhSY1^YbL7U?U<26uwsK=dkICh9I_$((3jGyY z!IC(@pP}mg-pkXIe`cc?wZY{3RDoYy79n)Kg=aLYDF~2zA+&-2kwt7tW>tDcT6#PR z5Efd_1QD8_==Ru-vj=>+F4#s$uA6xRc1c=VZw`?qvnsyG?TC0rFK)BgH%DG)sF7QAi6#8qP>XilznSY=Axo7+L#e>#;UlQpQ_k8;ysy=pzu^ zvN{SJ(G$7cSh5V9->^8}Q;Hr>SyWCGMgF)_hm$AspfDJ^;!ep-nQ8P*JxsC?CYkMm z8*e7E_zjW{Xh!r3zTA4Xkbl_b=5@=gKwxOQ$?z5+n#5RqHiC5|Gqp-SsDl%d498V` zTTg<4JhC!vMvmA}B_R^ZRc2>tsnylzfxsLUnJ|T;h_gf|BReWmxY9ST!W8=s%%&Q7 zl#&qy11Dcs<hq)Vmbb^LYa&=r?wwNp#U!JI3-te}DyFRDsfdBt zJYp`8ZeFx_`#z_-I2kf~Rw*IfQ+o_47f+QGrXW1V2n#;l>2=ZPD5{Yo*nu{0moe(0 z)f9z`bdbn_t>&8^yP5Ca_6rq;FSnMNTfY}5iX2`?kQi72L*qVD^p~dDdYW+3Jh%^R z_fm47dg&OcBOO!P-Gj+CwEl7S>lQM_2m$y{wT-SIG+PFmotd&Obklwqa#&zB92Z6g zx93RqTk?KNQuXcuh|)LfEzl%<7inqRZdZ;4GgQ?CdOBm@lzU{yBHliu5c~$kR}G`c z%dV|KJuxm;9rth-bH7=Yi&8t1pK30B3qv&`8bD+bnAW7NM8@ z2qe5lBnFZZww-3`R&%ID)8GP8_5p_%f2z;)S7g5l_fzB@Nbv*wh^bbva;woAsMOM8 z3#u5YSQ+?WbEvg6Gpk!3Ly3N(xJ3x*^aVa&z}1w(`ibMRC=PXTr7r)bA`g|LMfn6v z&mMZ{sk-NzJwuWmGCn3byZLLX%yZ`>6p8rZ*uzZ!8(pE6yPcOfmKA@!=T0=7*=YhYdBL^$!uRs8;dh_FL1Zugo`$3k zzi1w7+Z-hA;>dFFa8;?;XqhtpF1dlAwy3R~IvVM~4iq#XQ2opQ##WfpiZ@M#=~O7- zR0y~!C-Pr4fEc>7J__f|$6O(#CK9&T08+z*;~?9?y_)l@OK?3SY@a)PT>%TYiU?Ro z*HEHMQr2dBCY-bm3-X4*Hsy=7Zq6$L%En|FG3wx}iF=3i3`x`uDenCPgeiY{g~H^b z6ju?P1N8rnwA|kEw=$AeWPUJr3@o|a(BR&;X?U2Db3xon(9v2 zk9%SZxqexVh>PP)*%go!334>6FgI_Ne*j%3AO)Glt$%9I`1h&3d{~I#o4P7M^Cqwv z)+6d8B~s{dpJ^?ef8!o92oJ_WocE|jFYlS9n5`-^h$RqVnR#dRpf0fh*wgnPD%*Sr z&p!U?>GS%?h)Ee5YgQFWu5O`0VQzx5heDpmRiL07MjT?l_o+F^MPl#!lt>H@KZDH+ z@Nwb(z3dHnvvln%s!=w9x`)2r(j9%e{fFho@^6(M`>t!FqFRDCCcF{KFf>CQ{cJFW z8U^_64U4oqy}ab*5%=f=n<}))qhcW!3j{@fgkTYK&Qrz#24u*JLbTu2r#{tk#;VA* zeaNnk6oxBxyed3l<~A$JuUyCK%{k?#7Bs*LhBITVc##WjbNw zKH>h(;87?@h{OtAK821=M4ru-y-y7#!?p8JyLLLi-9e%8vKk*KSo<}5dv1Kaw&Bvx z)C2TJA3rv0u|4i8uTU`thp>)l!{gEV+468YwpSr0zg4ttPQ z*qeEdta)pD1kdBua$ieb~GIZS= zc&q{rCl*@l5)T%{ufsAwc!cRrrzC)S97Gk+FBM-qxWR$9p4P87z32YiqMFQMBTdB$ z#6ec$tlIQtt%rE63XNI+U@Yn}%GnKHfcYlyQs4LR%-Cr&Z*=Mdxf3{?SHj~BQ^hI( zK=NL+e7Qh?zK}AS>!(E-dhpa=8qoBxf&7ntus$-d8b5B1n!C@YI3DJ2z|B&)5VAXQ z`@F-_Q{1ZDymIH}a zwy@!qrZk;z0T0TIGb=Ge@@XB5X*7BaFKLk$267~b<0XAn;{agx$vm@-ab?K~yV|GY zm|6j-RM>wAtdZu=o|^O?D}AT_slSFpqVu3?vKIxHPRsOUR4fbUPH*{iJ>)mFU@Q)j zWY7c3} zxQ}I8Y_p36Z*r2A8DnPI{3Trx)&D6Tt|h2_=8fMh$;sH=P?ZI-!WZ2UR(>Tu)ZIAw zm`L8Au`-0AxdsO;+`?gzN0gM5>q(uKwI?ukME$vlV`DW(jjiPpC)|DaUEmx6ZH7P; zr&$Di9ncpq-Wx|yJEL+TFL}zH#*Gnfz4n}J+D%w~w#WQ)3$GZFt>O63ACPc8mJ`BZ z2g#O_$Z;0TSkLE6t#cYb)u~|Z(MB+SMKeg8c9w!#__oj?+y}>xYBR0{2Zl*mCHDy* zUz#WqUqrB<0w)4cm2VMN-)fBnvxk*Ni{YC{R;rRZf!20L!H$_=&j!K%tT%k!Og1r{ zy!?Gc7-4p`g97~{m^eh+=Q1*8W{LfI_m=wA1xhh5>Xsb&EhC7`)E2=QZgBZyj>_G) zR6>}9Hx26(HmNxPIFS?!raE^7OX}wTsDBKaXd2`XSo=21WKDGGzQ+eTvp|~0dKURw z8qzb&y!&`aJeuOOenw5cWrwza_47GnuTe*5X9{!w+oiRCAF~iEv3f3FNiC(7Y>Smr zlr!PQ_!Z6_?kDelinq6hFi!7oIfX=CB1D+BM||zPLs=m<`>LE&NNu4YzmfG#r81az zMbK4$!A~WqBVC#_g=`E)ktV20-`4#jSez0FzZLkni$Az#K3BHMaD4e}WFe2Hl&8Re z)*k!U82%2)PHvc4`o9%B`XW|Wt316XPyTnA8PdWyO*>~ctcM8ze&g>~b{&0Q@4O%b zsp_ciN@Te7Rq}sTPVYT8ZVsR4*-tb2m{6?5MyH6@sgnBwNizYN(o(!OidA7V3ZlU1 zKVB4*69cKCUXV6JS<%)J*!a1>YFC@-7SbstWQ66%!AgwOeQ4#RB$$ExUS;VK zpKM5~69`rIhbNtWS>~=C1H=-nCPiHLZoTk$)*zHQv0kc7CvRj2G^zoH1o=W5-+W`5 z(j{-5_!nsPFMa-5aFezG5`$LUq$Gq7@hyYq05c8&ZYFf}#-{Cu_9rDQFSK~~PdK6d zVx=JO4pd7N8JPKu6X4+^_4YvRyQ)5^-d|m%N_?aYDYjN`kpmAmeduv^Bj1H>qOD)4 zaSl)CIb=rjAh#ZOVo`{rZ~x>(HW7{J5!9;Fjm$DbFz+V!6O&;^#^qA=a3TVy z)^kl62zSftgxvBzG(^r)Y>j^qK``)IoM0=6 zU~D49Dfm&?SphI5HadW#e-7HGn3$YV>w2$Lz90Ua$tG~8Ng zh$&=jUn%(|-}S44!+$v~0$kq^m^CH4VOC{~Dfq&dSWc8vb|mYs^)cz!gcH?p_)%mk zAFzzY;;hriugt0(<{J{|ts4l<$U~DA@+UwWC2XCM?t!%IreYOk9ixCR71z#(gbF7D zkS%C>Luo%g<#Ie1`B+q5WQjl=t;pVwm`m0S`$1|$sTtyx?V(_oTnE4Dh9U{Y-JeeQ z5L6z38A8_c?4`S-Apll^A(lKAoLB%6PB{9PObX*1tWH1=1HoJaF&@2*3_F_=i8JbP z3IbbZ*&0HF-hx9iW60h)x5UQtlp*QJFw_3+ExFrv85c|wz4+$m&)jq84oz=U83mmn z@)`x{%M&EDTb31B@i}}0spoB0Y2N6ZA=*wB-up4wyw#L>iiT{{BEN?dk#Q!=-VHR& z=o#C`{cv8bXn*kCrVu~7zrS}E#YQB;sie7EM+H;o{Zf0DH#PSc*b)GY*oF>cCkvo`JB67Y<4pS#vgxss|gX+{&?HYygCFtM@)3*zW4UVxB5V)Lxgei$riOP zyj-?4&z7yk;KI9LwyW1a9q}OZb-`OY6zxE{;es6hK6cM^B=*XDY{NrL1z792!xXh2 zIf3_jB`4_@-m12kujeNu&ZE!hQDKJ!tMR#n-1eA zjl$09HDJXn4Zogy#GdH00{I;hAukV{4$4a*()V#lrh9Jim4yT9@*UTpCov%w%Op50 z5^{fNOo9(J0IjX6lQR09&AlJ{dN?>RCvT5<*UX&lS{XuPA zKfcwfvE9m4h@aNfeLd=PtUGr*H+BJVtysz^kqhU?3+K;>F6ugLN&00dZulAgdl{^q z#&DN~PGmv&qZH*nu+83{W0GfnGk!tt&U7!WI8HyT^y&*|M3$5yATe*kU>``s+izwn ztd>6&;#Se`f?^#ADAck2O<`PvDoQA`v26AMO#e%EwVySZx6XNlMMxX09f{ea>}o$5 zkf}%EH9zj<$8SOqIiI76*?s)A%_@A$_(bQmfnZ5@8cv<_ctn9?Ymr|dB=&kIB}rMH z@VOv)NGEOLKpj|&&0Co-QeMY|M!I58p8pk(M)X8@F44C`wpFsjIvk1-AUO#&)Ky%$Sf2CrlJ}C4)_0lzWpmxcTK$14W zwUP4TqoSl7Y2`>YRMrfolsXko{ZMIZ;`|C&e1^b3pMb0j<1DuT7)gM%f3-w*rvBkaWMShfRCn3~6_!w}dxB?H z?yN7bjn z5*_?UEUwAz(Kt|T8Us=|Ksoj`z~Uj))u*F#)>-DX`S_yJp6Mf=5;+`1u6?BV5jwMd z)(_GuvL5CXwu6=&Me>&M>II>(i-+e2=S@5)X>9xMH(D><C z*j+S;%X1jL8bL@70l_(qQFuQCH6(h_t4QnH*CDHFp!s~pZWZu0GBe~Vk0YQ&Genq1 z@oN}v;erF*wZ%eqE=8nesQ~*a*uNjRHldYwpi3y>3NxVnlq?BYPkAxY7QPp9KssIr zzfCi=cCd(QNPH0kho^|LxVq{O+LB@<(IGyn_|lYa$skJ>dHy<+<;wYoW~1NjMNLzh z)>Ku>mhqno7E3tMP^+4pm)~btev-J5m!X`_t}ZSu$s)&Kd&sj0Lk*Y`;~>3#O)R90 zZ6+<}+BQ5OoRYJrUW47}WeT?j2t7-1&`w#5x?Wp;`SkPSpivxWw+S zOo7D8qX{y1N)|2aUe`yCFx=HG7h#KIK3E<~CS{_j&rUo+W~@ugK1LluS!*6kB@WpS zNOwiFVL~ajOGobER+IWAqOnn<9=oe=$A>!U!8KKs?mFu~SNJHaA}(Vvqz`p%2IL&TiN0Y9jHo8}Ql^L!da_Cs?5)C3HN*j=`0cMF@l zd8{BwZ=eQ%XosGvV9uH&uFt(<$Wv#Liuod3Q(FtlW%x<4z}+s}E??qbcjEffX8T+K zKZZG0Os2En;rl+)>E%|B!`U60U9!}bAso3D;S$P3JwtK~=%>e_*9!ap<$vDL)tHKAZ=2)J9ORoS_8WlXGdw&}3JExB@3M9@l4&-1K!>P{Eb8)*(cx z_lBm^1Nq2N!qdOQ7bLs6w03hvW8-AGNq|m;#`0&z?O0;;$#I&*o6HvVOTAd=!MQpm zz!vP;JYphH`OY%H8K+WLX197ZFy?q4WVvjbBLjSmk>+z8VE_H2LlwMP)bYB?-aR-` z>Id7RCO;Tm#-}H{xlUF3{H1Zp-AMMnT=CL)u3 z0+`Zs-X~1SQ0SdLt963I+(R%;6wq?2Vcmr6yu+J0dnszXoTX+)5VXg!yU+!5G9HC~ zP276zSg~|O*KeXV3O6RmAtu-v)3GES_42z$*DJhY{Rg~vqn8*KN}EH*RLHn7Z?3`% z$bys=IdDuI%|qs>6)YFWX)Q$5T6i&nA~Dzh>CSn4tZmi}2x(Ok8hvdw^s}RnT&_== z5x6$OOci6(oQmx8GaHl)fM1o6!W_P#io(F_J>Gz63v-0iZL@I3OT!I{^BEaIH-8A zdkziCT67S+z4tGevaQuGBuC1kjxAmD-omDS1a;A0a?(PX=@jRY=_x5dJ~*9O86f`_ z!zy&cU^D5lJnN?2R7;>G2W8t9S^5Mu-~`o_)E_Fgw&7ebGXgAj13kx`S25u5Phe?7qU8L>h4FWFKnmFYH+G9U^S9m&f~PICh-*->j_(eg7SIpID@%p+;p$gogg z`|B|(n@!g`m>!?>qn4XNo^=zJIQ)4uIMrqyVhSy?EM;YF`@#P`hf|nP5?UiQ-U9#4 zXQ#VG&y#@9EWX-&5rQb2#PwtD5J;dtNt-g|5;yap%*osR{Cit+*ftg%)%3A_t=;2L zCx60Z0Nydtq=37Rb`>0I$DhrMMDWlmqwhf)ReM@m#5gL>mStD&y&15xq&8En-i{mw zr_GPO(z*v}b(!+OnLi+RhY^+uI*j_I^7+ny&W^7ycL=EjC5Pw1hsRlMh+pOHUm8jO z;W6J~QPgwZ`Lnw#Ro*}AzkQEt=fJAaaul7nT28K9vP}tR(h!D@s>$tgpZ!>%Ag!&R z+CKv=Sj>mpDwael<)WfKWF2&LQHP*L=QIy=ANFict4TE6ollb&Nlb|f=RW%#dGY2q z^bdk?Y@Gt#ecNyy1z-;=1IBW(_EWKMi&>L=A2@0IbG0@o^1a1kzU253P{JkV z>#=u{U@BYI>bLsc3SzL9N3nO%fs#s|wp$^Gf)eUEh&SlH1ueI$xBM5u=g)BELp^4# zk>0fBYDC9W%kWsQzsl1NkNQnN(DNgw?`jlobE~fDml!gCtq;t!oExilj_lR1Na91N z=o%R{jR|T0jiVI>e2bWxmVFsdK{jSM8H^KQE!m^$Esk5v07`!<0AOf3NJC6mRfr5o z?z;qE4z}ZWAfi@Lr!7oBR84+trCy{LHOAM2AXoRsA!QXOK)UF-@r0XR#zii-eoRRl zMBnUSn|iJHak-p$mnNCG#5)+lBgNliT!fwPv^CI8j<5?mYsXOz3_r6{0UK zjp{>BRf(@}8d2$~>@HaUYT;5L!JlCJ3hu8zq?=5=ZAgt%5V$n3ISNSjs%p91fjpr5 z+x?yx=^RS``Td{`6(l3exCz0MJY}>$@!;J5 z1VI~ppQ?)Ie!`F;>&}?LQc&-4?)(x`{O^j+o-hRRQ?hp~;^;eK2eatJHefmJboqJPH~^plP{* z(0W0Uoy^uB;8xr&oN5(=ds2}av34_Czo!Kb;>oZE(cELp6^3x?v8GtZl}a9zK$a;- zZc+o<%OR29o02+7$4G6bS;r7qF9|f8;ml98k+dP2zRO8#VK?m0&q_VwFNbv#bzBQo zox^_7g`&pKT7%Ms4qH{kRrqB0Jj^|CjzZ~8;cS2A6<@0G3L)JzernbzWxx-L>mM>? zP8l0q7ojLnTjrLFn#t?8HA2lSjTv4a+Tl=QIlEKYB~33>N72j)IZvGqGNi5)-(cgF zD4^j&2+dUYIMwsSqs8h5Zt{UZh_M{Q=QOD~uB%W7#g;~~ezv^UKe}RHqQ=GIG`^BL zu_PGMx{|y|%|zD;iRFPCZ~e#nM|4&kzZa3O?bR;(V!-y~Xv%%i8*=OJ3nlb8Y~h@- zvG;~ZaE*H)ReN?3cpMB}otc)Lx03&g9k&3N6^L&^J4b%=uxy;CMkLjAWY91i@+ono zCnK7Wg9n1hMca^iGH&zh^QdO-l93iS$&x2&IP{{IuMcd2+*nT&Kuzu6%iFc9KB3au zleeSqof)KE7L7%)x)a<+NkaoOYdJGU4)zjZL=`{E<#zA%>~kaooMM12TDf2mdvQrRj%3qBe2j|W4qvek6ov)d$e;lK;Ap5e*M^^9V|e*H;* zO@YML3G#W#6W{6_o=Z~T&&clEM9KU>yy9hOelyaJjr1;+Nr4~$ud zUl+k#oh>rxv`1L0kFC9AC64P*Tvk>F!ta3$6@0g4v?t8O{?fKw@=v+o=+S*dN8_LA z!utE4{$MdIkKSow*YLylYpDB1+h8n*l zlu>O>IOff6<3SLEq6@x5j5My37vzWSXno)9ar@XOZ^uDl-vzI_r2BF|KxXrL1=9Q%_Ei_x<{-cxn--(@ImX^R588yJV;;{thUO zYiBkJnJ_w{x!-$57(dsdGF@(^ff?n)OE>NuD-fU7__0nOE5~nJe7yeVUgF?yfhOy8 zFi`@opa*MleK2E|EoP$W>K z{==IBgQ!lao?l`i(Bg*TU=EMDHi|z1T(cl%wkNd?x{B1ZhOEQ+3)N$oSkIFt#x_+4 z>Yv>B-7+B#rBs&RJbleVA3{$MBzY+=ge{~vNHI1F=CkgNlZ&G#KRD(BbW`a^Q}z7L z7;dig@XlB@YjJzuvp!0XsQSjfj_c$RE6gw%kZQZ*8tr=D^#RkDQzHKxO)BE4#ETf< zHr?ymM&CtXtp*@e#)t^>zPqwqYUOB3*9}_rSd%U3Q|~5#uQ^jfK4i39 zS|Z|{8&yOw82}((`<+K5%B%Ei`(;B?cC1*Z3@kJNT32(M`env$Uza|kJErpyn5yK# z4;Zpiu;~0|i5zE2v($4t z@8b2-Ha*3aE9!FI_{cdGKZkNqtduyQRiYgS|KoYa$WOPw25tU#cbiaZJH6+1p9d^} zjP4IgprAu(?KMOqW8_=UtihI&lo$=eC$)k^HS1FB`C04$fwo_(Y`?=F77F(en4W9O zslN~B;Y4C1q%c_sbXwVW2WPu?uR)%NkQ#ym2h!aGV!QNU3Js8=wQ#s=5)JqU)N~lBk-$ zh_YpZ2IFA)nAeqU$qc^3Ux0-H48-<&KntnD)ZLM5^;j|Aiztb#FT3{@?h3&@S@D}b zqoRwW3q2iNI-g?>VvQ)73-AHP1^8F zU37fgJNI>g*+FGC4-MHt{a9o!X6n^N0x){b9k$+IEP8wqEXM!v*oz4dK<@ zR}yf#=i`}N;+BvPqz|?l37J;aN?ue>r#~mUXHlJ62E`7VKI^*G3QU`RzFL$kaNPf_ zK-Xq3N2iyJ&8~T{kovs+{>T}>(|mC=sRfMyQ=_D2#fjc2ZNQ>K*WmuMAX?P4p)3Q! zk->5#8k~^Hq^mn}(ojx7P=P2(6t0!0R>=(D=+304wSAMZ?}OKsUW-}?ZC!kTh za#Zx4srn`0#V2B;f0wpxN>~9rQf`3vBtXiTK}e}S`E_oByJ7>I&82cf-+j~^p^zod zTZbya7KcAXO5RO;o9pYeIb+7JKcW{)@<)NR4CQ>?mxUQ|Y6Tes77H8E?l_Ng1K1%t z=+nNueYtOuFj{i&Ad_(3$fP(CO@xeSLH0Xl*5-I$)5rOe;Xjp77zQH|Rx;UJ6IQ{j z4#9D9^d(9YJ|l_P`kwi!|Lsv!d)97|p=T3=-9t|h%%+{n#c=0eh5va;)EeNpRqh_1 zgh$tnOGm)T`c$9z;UVBUB_PdSyeaO1eLVZQ`!`{V!Vy=&LNk4P8gXx0I?xuw$Tos1 z4M%fY0}b(3qy#nUoju1~ghdVLEJUB~3^;Yg(dV&HWH~hzDTXus1KQI6o+@DdoVlJ| zv*smh(b>%oj^>TVQrdiNZLa_5aPN?(T^-?thXg!gt{JB{OaHEEynVk%u?zdtKx@H)+hzjz;_X zDBw=J^uI6(q#kA2*Hj+;*UVHliH`>CI0b(JxdM5UzcoFf)BSK9sV3r^*Ra} zTq%-s8FKRn!u=S$!N`^F=EUJETPeGhb8{72VrkK=x+jZpr^(5o@#9T#gl9gyGod-t z`gagn;&E6Oy~o%WvL{C;tAno0@D=s*&`jieVPI_sdV~5UP%3d1F7E(>`%SnTY>gg~ z4&y^}Jb6lovTMjIsV{zh3@iJsjcZZ%L6%Oua5}-oV-^W?8_D;{Ate!3_{yOZ3`caD zE|yTwLcI$E3UC}!#AlcsFerXDIag%E zWL9)B`~a?a=mZAN3@9KJ5FO+wem3!Bzz_W2n;_W)3Ec^=+!2Wu7RA(nuJ})?oOo)I zj<7EvST!`eUa5BsDI+-ahbPbfdlv%4|L*(rc;E&_Xb;?fH~#lw*HNDH!2O?JJ^iFX kS`q92{)_*gyKg+gOYKa3)sLZ)fCFDj@@jJBGA6#*{2<{dL9MW5UbAqQfC$Qa&0yqFGXVyA^6}(ny9< zvXrIR@-&HNwt9cT^V~YK^-)?L7#SECsupfOIq3hr?D4Tx`T3~hk-zNXuSLgd#{sh! z!}lLQyyi4+lrFNLrhPriw#LosnslDD47@Kjhkci38jo5lyIu3@>grtef{rD8uU&nw zE6YwYODxk~Pjoy#9`t~;iWkZqM?5vVj>{!7Ym};gQ!9iXv|(u=KQFCL zHrL;9Ppq4-qt{ zkN>Wx^}3wLA*KJ{3_-!`tT*>!ddb&yyxUXZWv)=)V~e{3bOyH`-&YVu=S9uiWmra;nqbG(ZG z%?9RA^&r*3?{*w}p1}Se=UI(~UbFXZlH%zk1nR;J*g*QgQw@?@!TvGj^iqA+gi-5Q=uy z$Bw7F1L!xVl|{YtcUJ2~pU>VrpG9U>y?S}h{_DGlfo-h1bG0jex_wi}p7fPNo(|?N z7L57##>e6sFBdK4tsTEhRTu!Qi7W$7z)Ov@>?LujMsjP!1cS)ja5jMLk$2_h|BUpf z@O43Lv3~fBN;V?x)UF;=4Fw?pY&t(R4GYY<OmHrEw3$_v~ zXn5U`hsNnR4%-Y^hmAAdgzSmB`?W*8$$QTE1f(e+Eq4s+lAHob>C5y>ZdQ#KBmSN;2O^4U`<1=ciF`{AoLI87P`^l=OL z8kbXFzP$vox1Gcn3c_;*`uGIwFZC+zsLco;DdXMVJTx8O?}JYCRmriXvk96(yjWyI z?j5!tOW;esl%5yAf(co!6$}(TuEE5qSlf$E&zTDJDljJuEPiBtZFcVt%?c?PEPIt# zkngCOzmA}>|M6e%g?kT*{|5|~2`|oqNY~r<2KjW7mrw|%UrjIkOvEb zuYJ3Z_xJac_d7c~Rcsv>!!u45Ja_zcjkZ|TLHH|f5g1+cgIOu}vTWcL9+5|?sg%?3 zxBTg&yXVIwQR-bSSL4^Fdim!DJIbAR^f-Q5v?=QJ;q+Wd-m726XDsunz9d{kjUg67 zZaKHlZ%KqZbSk8>C!Iq?CbPsmL0by{0C6?*3OV~J<&GW_K203H#C0{ZZczRy+4}X5FiT`=a z#0&UA!P@VX#X*YMyYqvh$Y6l^r1Hl|E*wPTbKCDvA7*2wbGSNR!umq<#jHNK1-sH) zIbeiPuYitYAsGyG?vXE^8$PSo(|ZZ?WO*OFJA2_mtNy^0M+Li6aolw+X+cfl47a10 zcunCEJf}@uYOH4GPeIc4AMpE|6t>iJ0q3z72%7>)L8JX5KSv17YAih*c>q*z+xq*H zf1~3Vhg+vXVshCE*tS*USIKzUDCb{>@ikO!&`h2MtEZU(+mB;UFlmKA7GiC&1x4SK z6Un@c9wkz=y4{H$Bc+V7Ts6zhZeJgK_HDZt$mb!DJWHt{%SSFl0?@@g1-ZfE z2i^6U$Y_vunf+l4bKsp4db8sAmGa0vv8w}}nC)Rg`(UKM6P`#k4mKqu*;IYv1g~A3 zr0%#vIEY-iDiw_+$w9$1N48eh(6YTh{9l}cp_sBq_MXEIDNp4|z8S|2HXIaIicDF1 z|EH8R!8F*9xfgOFOzC5M;;d`Zw8)QTlJ;Tsx^5u?4YJ3E3E-!qC#Sz)sKE@~S=c|0 zid4biA#Ywea^Wyi10K0P3{eoMPDT4{N8I_S)^>l+-1H!$emrP3L4wT>utvz*aN<&> z2@Ix{6+jCD5UMxOs~t%<7rB#EcC}jtmQ}|zWD!^LxSOGscKZN+mHkT>5OSuX0}{{~ z3n%ws4dZYJN&8Ej0~h5n^~>s4P!92^D=|aY^5KLBN8N0Yx>YoODK1Is=Or}64_E@~ zBNuO>umZtS?;zN49SochUH8tx-kJ_A!_D)3ll_O6A#QAta!pHUlxav-3FEyMqT@!df%)svv=noDaT1yJgyzL#mpfsHpk0lCttG zJL`ZvG+`rc^DPnCx62U>>9}w0_|xz+OSIteE$+>kO6J1R;m1VBr3uk@GX@9lC3=GR zmW-}VR8zdkcRRVk;o~^M>1CzO>?aBwIsNqu$Jab{lg5xBO&w*T!i z4~T>bSj<8&A=U6sp8`UEx3K z*N5Hc@b8sh+LDG^>Pp1QIppvEsylS#Q&5jvLMX?GWCAN}z}l$c)x(0A*9SXJVes%W zCm|Rk6`EOi(?LH&693HJvA`CQ4lCRIdU5lq=#Ur8{2h-1V~d0fMlr?ZPIQpNOV**% zMKc})s1V-6HwT)Hwwdhks?rDES(DwUR@hf_fil5aV(9)ic;a;J^YU&t{6|)7LSY?T z%z#nAZw58F&LKch%rN;Bz{|kN)pf41VmtQnZ{Xj6Xd9Z`qyZ$XO9xh`WqFRrB3!pp z`|LW-2pjDGyiHjr@l8eI=QmAiG*IQ~S=rfvKI&hIgD%T$*K#fxmZ_v;Gl!Z=zM<;F zZHfF#iQC`2WUsCYbfmz^6@-M}L|T)MVR-?*RO{-PY1`c%Vw2HwYIyx+P3&aYH>z@K z@)qO?fb#S-?9;gkI8(luTaAvJilc()HD+R(*sY27hGSTijwJDCujoD{dYs^_L%QW+ zWK9etZPmS|n-XdrO-Rev&gC?Fi{5L&kXw_%Y`9-dCg}nV%_t*@09}j>w_HSR2YZ0w z!3^KGOKcawVr3qamATHT%Oe0NYOp5f%DF#_|CpgjJnoDVQ7xkD zs1NXneOQNdJ83Z1nH(ry6j6%EqoCZSvklCTBsN=@IQdmEvNUi_>x-%g+Dl7le@st{ zIjSr$3Jm(2W_Ar0NL<7h;iw!+DD!sUP2N#tZwPbGm=opsDyz#dc% z457>I)UiOv3&k<$KDa<~q1F5)_~&~>Ri5@}u;su=K6@I;K8Gd2r0<%0)cZ9SnXW(G zaNY)>n*3O`td1E>J}(@z6CEfSc23TYbY{=kdm)2*~6F6T6Vz$W_%R0o zFap@}fByj(D8BJkZ|=zDollbqvy^25_oP9*bi9PVwv|9!u^5tzmH+P)Kk=4=5&>3!^V+a%>WP&RId#mB5G9|#O&qNS zjPGvlkP_+<7!94~ozCZk5Q4b4#T>?!kR0FO1-QoxlneI+m%#X|*YbFDp%fe0u#m8q zyrygyZSSFFVB3FcfdydFg5B(nv&Eli47l}7)RWmTqB(TcBE9bQm!R5l2p=II?m7#B z5lr-jyEmD(sDx66Qt=~4G$Bxve9^I^u?gaht7`>fOk+iT_E~>oOvJ0B29$05m&v>x zYd_!}TLYXccm!u7K3b$0uH&rAe{|~)9)YBEK9mT?rr*rbYfW0v!T#YC)EagtH1yC; z*?*^G55g&5lg|Afs?Ml!fs?W$$k4DT+R0P)lJ8%~|4TI^cPdWV@!U?$ke(_SW4L6z zYkuIc+c3H`P(AF^Rj9cQ|E!i_|Dhh{V`CwT@Z^~cusU^# z;7!%Lbyh&6FlNQck%2t66*(|J;g)#Z85FW%*0{V!^G=IQLXZrQP7ftQA=F>`#Bdw4y~VkD}SnAqMaU^q)61H3{srw!Y&|A2m~))-^DgUN)$c z%hzlD9aS1pi>R;-wn)YhV|L4m*u;36{8%mq9F3JnYg%G(tb zAuJJBB-<1Y~}X-r9AaCmc-ve6Z@g)2ZQ;?K15%VM`&YgO^Ik#=sEm_pE)*`Mgm} ziC^%`BE<;OWsV7++7+Voq3c7DAPjdFUvI%wWm&F)Aw8$2WaB=dqal>12Vt(&Lf2VN z2dUz{xLYXI^@%Vn!?92Cxxq~f-FwMHM>-#prCwkSy zi@0dbVTMkP)iCwYE9s@TL%dtLZdtPf|J?z-+lkD6zP->cQ7e%p|Bu+YFQ~tp!1>hb zaj6kq;Mgr!gio;ST&1luiuc3Zs^GfbD_|2BLfI}4bKHVMx&&2}&IB1o&$tT89WMJK8sc@_ixH1WKx zKyYvZ;q<(da*mf0A*#+yS~$rHft@*N4UVxcfj$B59GbRif@yT=q-`E>(VoEmQd65u=DT4JWN$Me7C=QW1 zcNF3m2mHB!nTD8vLyjb>Y6(CG1pcy8%zY{kq0L`Z&{Rl8^nmZQj;E5IeV_E0+IJ_~ z@{q0^tej6eu$}5P2iKR>KvvOl#V|oz@Kn7gy_AbClT|XmtZP-bKpA;DJBwHT{FwsF zW`K?IT}lxe%R3HqVJRnVh)EWY$xalH!19Q6%W5a}zF%+%1la^z4u|+m31t@o3RDis zBC7BmBieZGOtN^k|2dT|N#M|;;I_?dee~=GGf)jj^QoX z$_0$xBYp3qVHez?$vX9achVJ3sAvDSfx}rzbcx# z0C0AJrwitbo;wxzdGkhqD9=O)*8Rt#eZJl4#_IFqYPvN5Agp>DEpiuXx0mre_k3q? zu9KQHJS;Eb>+GE9D8=flef8&K^Uw1&VB^w}OKV$4$FXoM2j;U4-;xaWdI37+80sG@-rOn;`K?bEXmLI({^?KDCXJ? zZkBb^qIOgq%mnr$H3$j_tdr?sT)?`^Uu-2Cw9lTs5L$bBFMM+wiCmlvBdBK^tS0jV zuX{b6ax8`vOx5m#M1b-Rw>&z|M`n`a?{${jC6ZS?jAsq8$NMiiECwdZ?vAP_6`QCRotONa z4Y|i7pCW8ADyzA+$pS}dIle=|(Lai{^)+LH4fvrMTbMSJUhGZgyh4`^_U8=s$sn!{ za;+zY!H9gLPLGH*2fQz$GT=mMl}{nJ|M67z>y}TVWa%iW0(B+cvP5|TL?*V9J5EKp zL)QHcWx!Is$A{gvb~YSBgL)aKb+aDxsr9!RC@|c5;QljuK#;N=a)2-Q{oO$oke#=4 z(n|!fclA@#+}xbGxjFQ$Kl^vn@}z3fLzb_F>1oq2H@FIW9^&w1eh2SX5StMCtRF0!4N1yn$#c7Q0DLb3th%khv z8aF>Xyyeie^m}!+N|VJ_3%p*47}Wh<0oJx}H-{pZLrq%c$=WkogSd@iMfj=3eh0}F z>j|BkmKEF#f1YoG){Xru&xW|8nxShLwu@^0H7)ABYx@ZfKl%!s5TZ=!06{JJCZ?I6Oi z@3NKZqbWp{nA*H<)lMl&jy(f^iLI9|=Qu4dw*vG$JUxdGKq5C_#DSlo?xBuj(6CyN zys7>(S6&09)LMVTeAv#Ys;r!V>q}$A*?zL=_7YKMf?~$47dZkQSeq-)>8<9dUwheq z>QBT&qESDjZ^I|snX~6UgShSMyK@)$f;$>IYZvo>AXXGu&?E%%Ows>HQ)*9>AnSeZ1c(QQ2q<_5=SxyYP)n7^{JEpM3bK;4p1k)trHpsA;0|HotFy4 zIi91MbT?jYS}jT)zg_-WLrElp^*~c+OT+A67HshHA`}Tp!-aTfds9V01qcgpaI&FM zaQm&Y&6t4E-Bs0VK)`<_-L-%|H7bN{0@whw1mV0wbR37oiP2trQMgL6+jZIC&ZgYH zj`p(7WXT{*@Q>BTqd)!8$AAACP6DMr+M?35r7WF7+eD8((GkF#p~uIzE0Q-uZ!ds! zAG-h+WgmJnxCsHg!o|)wABPNzr1<9n|4JDx7>rU-uPM(7naa0ee?@rLEl&BJTW;)IApev*MP>{0NwF zBR7Z>w;#GkrawsvxCDG*e2<2YAv=RKX!R zDD5!KbABrX7v5L3NSdh?am*w5R|ma~=&51dN$}#6+ggJyMWMr67(|Bxg^Jr<<~0=N zve;n#ds#{!?a$v466sLom0Qy0u4Ml)7B1@09Lq-~O@W>&uaH_59*6n1j_NRnsOhOU zG?kTa4SNH5n;m^Ei$KT04ZPGX_&&z&Z)c~uoP-6WhXIFI94vIxV7mk@r`qy~Ve#cd zC7jIrjkL(HgQ% zOR(`U>3Uf+sWl`^?n9i3mn*j=t*D9Fay@7wzG^@s@7VRXFdq3QJ8RqI*tdUpmj>;@ zPJ!fPS?_s!cNj5u;+yluB^;$;x{(t7m{rUMb#zp)cBOkJ(1;7}~KcQGEZDVE)R~$k|D}bVv{jY4g0vPxyES zkmtgk1C%JiJtv7m3V1dUvmD%$5OEkZ;chfIs_6SGkb z43lKN^!|udLcls?-U(N;lvHn6;OQ6a9+D?~fRw^9n$ zr5l27vxEng2Nq`qHeh1nJPW#o|MKyaAVn;ZmP#-n`%pTeaRi*-a%zcrCT8mz$Gu{DKTbvX|AJ||0@U8I(1^k83+--c?-od#g z-hHCEdmX8#a0{gS#32vVphD z_Ti#L3`?H9uPt`-#PB6k+nwAiF(&DEB~CW>ZMUqBKA$|l6L=pI*xsRCy{cNdlpeW78rA`xWyLpjraPq!oS49ZZB+8l<}JqK|uM4Z7QKD{Va zsdz{;s9H&ykR(&m$ZT<5*SNpEv9mU?c6+OJt0Uy6mKKm=;?^bfltuEMZxc9FWii;I zavX@D!+8Yat$rnYpvoYqP=q2B#!721$3s8O8kUeI^x0}Ar;~xFXM#N;tcW@#S~K{$ zT~k+YqZoU+Bu99@C-9hA2t{fM{A?AFH;xlYh8QKcpobI_z*es{%p_S2+Dna_Scg^` z`H3}ixhr!%>WUp|a_TB;6-!IdVp84=8^=&2yC;R&aN_KvA+sTGK~5t@kzvnhE#}ep zlU&-BngU3uE(M2ww~mjS*~M=NuTg_Es*rvfdjF|PvIA1552CQ&FO&LtNOt8vM1NJg zG%0mnGs7#xpBf3@6JagGU0MFE2GAo(GcqVah?u`_u;k-umLzi{#vBjyAAa#kf*{uxIwu&k^s<9u(A3GO7n(?cE931y&CgAwGtSSWRV zIJ>wcsX@h7s&ac(Py1CPr=&cRGM)oJ3L|;-dd4vh3uX87eMdV~1d1Lw97y4}QYFox%Zsm4o2elR#?L zffJ0S+s@n<%t|3_)Kaq6-JqZok%d1brQ)z>W?&aK6|CZ4EjIECovc~qHzYsc#Ve$i z95x|$o2Q6iBeDkIt<<@5z6r0qFWAQ?Wm-nuikk0L~F zcs{}def;T)WA1eeDk9&PjsU)nV=)2QSy>`*z0m<@teT5rQ>5gm8oYJS582OkEl-H} zVt@c>L1pIR?LEpa?r4$6jS~C0g31rdLYl)c+xz-f@djELkd#c1n+);BrRkvB(0cj} zN=#)D9VwISqja}wDsYn_v28XKP`3YIv`eZI#f*y9oC-(oOsCr^B2Fo?Ou4&m5GJa0 z%=P|%?E8Cb&l#i%FIgjJA^#Ju$HUZV@lFP z2Yj0r*ga#l+psd({UxHMytCv-1`3>_yp0*OY-B$W5(JAqkqzyv&eekRgAV#&{kO4T zycBxo^Gyc})q+Z5nd#3l%tftje)%~K--S%77IAVE=Gr-@C6=wpEK!_U3zQ8Lv=9!% zNTW{ryj3U4q;Mw4&l1~uG6h0qHj;k@R zGT5mNy?Gf&Tu0J`rm7C3*s9vCw*v@H-yDR3E7w!CX|9ezTpEIbwu=IzE^`OX$4};< z>WmL#M5-ww4<|j7E|F>r=U@Ab)nPH&VUnFo@@3YRm6VjeS5BjK@sW1Xh>(My>4)Mo z&OO>Nz{|QlF>1yGltEdGNgQ5^(}&ld7!oB$7M2U5E&wSC5TrI# z$Swwj&_)U&Dn6g;2Xm>msL`D#iV8VRyDcs+dMqg=|#c62xV**#gm=yd3I4SOPy-821fIxND`^jt-YHKl*9_KbCEw0nskNzrA&Ut`=H|> z0r$A>|L?&oUK^k&RDW2KQTqEmUrGe)}-~{4l=O{OGuDZxSvlQ@*XuE73c_XO|a+<)^0nV>fIJ zMNeLtoZ*(-9G8Rz)HhL$GRGD*cPETZDoH}$t%mN6tRlyrRmwOZFgS!(`cbSMge!$f z3iqODpBE(WvJCUe@rC=Mog<99Qxo5&e}YvXkaTQ7LSaf1AaWuEm{&NhQt6c$`dG4mZuW zjfQC~LO%(L5NFio1~WWkd-ZGv_iAakwtJ*p=*x+k#*s`?*%?nbkV9-=$UWityXe z@m`>+6kUC+c1O9F0Lgo--R%idjPr%yGD_XRPm@{~cJ7>u<8(J7_3TpL9#opYZAG_} zr{zR{PFh?Sd9(Ttra{FoNuQ>Sk+p;2r~wvryfS%Q?v!rI`pT`)@SD}zo&i5QCRPk2 z`hi5)r_PQNWkv?WA?*1e6wIxO8AOZrdO!ZUrKOLiLNXNI7qO{&`uZ!YtB_w&1EL{| z`d3CJ=3_)pB<>17$J5s_o;Aem;=F7_@1hx?Dc@*5p6aoY+4H^c^YIJZeOkI&eQfn5 zpk)27_viU!b&{#TRR!HbDMxSeY6Iq{xCM+_U8*D5kYL=mw{XHeq|;((b(LN<65sQc z7wvf}QcjG1MQR@VXHTRh%l8CFq_StL@QW1n2nxF7YJOW&7GKpQ|3|>UzchoF3RRKv zC@CpzR%Acj!Mq112E|k4w1|WCh&vh922N0ri%`3y7T~sa8BPcdjXV3P-uQnP3eK)g z&tIDcKVzPhom<3cQ|!;rTFo{d?d|R50`}LHO8DN$nONF|V7S9aXe#*5PRcSt`B>=Y zGFZ*uld*8*GQH;{n3)u+IlOr;m&*lAEDHEA#SH)XhRPycpW*GBR+;0#4x_24_R1d? zmSn}3pxNnn>+X77xwHFs*>pOU?Im@wu?-_OJQ-S&&#$enqgOOXVG30yKL&}O&dg0D z`AZq?=Jx1+_UpFBp~0jEiQpUJ(_oW-)fSL5=-50H5h({h>U4R2WLwUU` zeQ@eR9WWz1JKcPVm%FbwU(cg}f!Av~SG>Dw3#ogNoJv=EnA6;uagx8^-Hksb0`VKS z9m2ps$usEzfGEA_L)BawB{fI3p#1E+pe{)K0o=uxv{FLvcqBD|0NU}kWFM{Hs0^z*_?PdoW>~T+k z>cVQayFBE|2skLLn{_H;aBXno7cd+5;U}K2B?(XGMDV}YSQ2xH=Xb=};}A`_G5ASh z)YSS)-0q_&tbC~|S^91j2_v71Le)eD_-52i3f#zzEDRNX_=xWbw@bmSxPZ;(?gY1R zGMO6Y9<^KM#fr`rq}GL+s4ZG9HM>QrSUr?nD1M^}a7T@49 zQQm9w>vpCD0%dRKmW}mmV)q$GZcA!m9-45?@-d)IsBJZuB0^MN5XWa+%gBJ?6D`lM z6)f*nnnloG-@CnHO%8HCK3|pd^z`)2Z=s2t?>WeV{pJLfVetF8p&UC`Y6-6B30mM& z{2*-$mF8}l3Q_mM#CSfe>*lsaepH9^1F&N1GsY$+HU9_PstV>r+Cx&)Bsm4&0vzp- zPQu*=mv=7YF~LC^Q|9F2{bkp`zd5{tdZ~w&dOkqIgGFN6<>o#q_>fo?u_SXKr9`+B z>s^G1(JZ>SKN5dn|3#V|Q`aFak64#95VYi)-djK2fT{wA1FjPvd5z%#2rwH&P(3qKtMHEmes|<2Z`?TYT^UO#*}*{%+gYLcTBCF4A<67GtB=6?*x9y(XCoC z%4s!f9+1*&6QdS5n(!eAI*Af&oO6W8<6AooOaW&l*7C(QdYZcP2-#9;R^-DYCgKlC zf1^vK8@zT0U|t~bT0wDod3pKJrFFr^%!~t`FKm&#z=N;1!O}uk%*!muPY5*12ZO0B z9ta-;40%Hy%bHZepQGTI^xwsA$_6^DiHU>cs$x!9w4ki!_eFbTlA=~365<((+)%x7 z$jJs{8@{)Xs|Q=~v@Fb3aDg6=;6|=J`el4b8a{rZaL4L#1EcfXUrhk*+cJz#6P7qo~1x`9yihHZg1Gf{nltf2(6 zpHc-f``^ERp?bfS*~Ne@!^Yoz#*;kgQ$B?O(&GEN9VnVY{*kw{~?=$XQvX@A;~0 z?IgC&h%!k)?wOdnTBZVBQd;at2WgQ*h}|gg)mgz_K~H6_>Ue&*i+5qwyZ^=)KEHGo zj^itPaG!6GtoI=V2V;D=#-rw@Z1wg3IMa(@sSG?ejQv+7b{<` z|FL_F*+p4hJaRDv;PNj`V3;S&lK?`|#An^W<1Z5|k4}Q4f3a0IoR8G{@^v5xmTa+{ zDUp6Ruuj__`GVtyw*v_pJk}YY%-AQ!hY9aCh*FhJcW#t1O91nT1Y3@RxS^=RFD>GI zx@P2w0QT0^#(%AaIo01REZ%l-A06ivreO({I_a9}u%4FY#jM3GWaaS-KSe^!gURj0pj*H@|AHeQJXA(&AWCKP~d0vwnki z5gx;?(gRdYee~PCQiTAMB~&p`!Vo%M0d*y~%|q};-DC&t<1&@U04z}Xz`%k-vn&xt z`l!qgcR25&g0v^GOITs*5wVz25{GsEM)C3FQ8sCf#RGoL6xFFuYvq3 zFRm*5uBv&bbg|Kg>X@w_`W?E~><(iW0Hse(Vx$}>24GxtzMf7dSyBK}UEHQ~EfsSf zVO$Ergnt8y4h##W9@ziEsgvD=TRmzC>02UF*7EVS-W(?ummwn~2g2@0Lt@EJ2_Zfc zgcH}g1_mf2VuVF?ow7sOePAo!|bjOoO(R{A>(WbdF1`i^ANp zTyb4keieH%4)*HPwM0`^$;*F|`l8CoruvPVie!VKjUKiqIPflph!U!vO`}cy_)uKK z$g)0m%JUs)8tnU}Uy`!c+!T4~h_7X}&tg!NurPq_M{6ro0!Y_O>YYsR$brq+PvFSw zPTz2d(Vr1NVVZchw}PW*s$~TXPReGiLNY6)$FhouOiTSp@cd=va zMe*HICC@hzb#kgbFSI%?jfR zONrl(BkcS10PT+L?=u(jWGd~ATLt`vb}0J_>(PqH`WOpy*&>mp5RGXT|9*A*$`@Gi zfYMiX>-Xb*m-LkvO!(6WjPxEIri=cnnA4tVT*BA^>gT9B>t?Q(M}v-K6NUJdzz%e@YR?H}?;HB5)9uObWe-!eZ#Y&@)dcU>OOH6maR4&a z#g)pj(4y!gj+kc2!okQ9G&BY=KCIn!v1p1H_9eA?N30rdAPbS=fA^dkZ1in}NPXkK zB=D0!&I1Q{z1>IWUTCJ;D-PWxQA&P770ghQZ+{c$Q&Mm;?|*wH*EvpRCYWgq7hi@2 z)fhn;iG_s^GSKm*m+kF!HtgM`RRh!!09#8(`1Hs0X5>yjL44pzUt~q3e1`bJl9}w1 zs5CfzxEpb(s+DRIxdqh}_NLO~^vpf!g9ECL@EM_kaUa8dd$Em=y4eWKYzjjw;iZ3N zWC-TCb#4dt^jo3L^;(#IRjoCJi}t6o5e=93MBJ_4zpL$Fis+sR(H;q6B$b*b$O5i| zWHi@S?QMH3f5~&b3oem^a0->F2RO&a&Zb{DHssd4;|0-ya<~Of0J-%2?}XmAAHcTt zwrr%KJYQiiHL+$lOu3FG3ki_w!Zlq^&SnaEX}&O-hH{3u(Cuq{e0DLp3JC@BoW22yA=~rLM4NdN2hr0f z{bE&_OurLBxPq#tdwLqJxu;`xsQ#FI`t=YZ`p`uxpl4ukE(;(Qitfy$oafJfScQts z6sJ3lpZ-LPLhI1OL)IN3=;YkIM}ZdXi#I+!y?nCmN;Eh_N|*0x8I`SPRt~Ewn3V>G z)RXm~vmufrWW7h`K}}Vlhl&a836TmY)L1J8Iuvpk%z|{X<5QA=&j0a@uYqE8%ODpD zUnvt;L%vnEVTmKxY;P)em$Q7V2o-WV{%ppY@N`Zguu?44b&!sifYU(w7UR6h&KsxXdMg)w)IIW6+xdkkt zNv2^a*Brn#?xO(W(p?6(ux5OJ1DbaB+iwZDX@06fWWcTTFK+PsAJl=GNV>Dh;L%v# zqGI$+gJ?%yX}>fPN4Q>=Co^`wyyp-c5n!j2udi~+qtpYWWIi@q|6}=;@0feXYR|Yy z0wSZR;9Xb-cLOOPwosF~5bg<1A4jvA`i{ycC=IBA&lIimivggkaJDw{she;|-I#%!!$vP`6qCsko= zY%GRRu(dzvA4I;8WFDAUV~w_7Z%((3o%>h@g{>_S?Wie>*W1bL|I;7`7|a}2H&5)c zh-HG)Z1~>2dxx6MVjvpW;qMJCou|5OXWtazRRGXM1 z`QN9WK}EuqmTA8~@ne1(E#>DL`~@2+j&Er%%HAR$9+{kCk5(v_B+DFp8bJ+wvBSog2)C|};=Ui(=t!&MY zZ^SExvOsUn3`qWvDs1a(qaLo)R$@fbBCuxy?Zv3XG1)EDKSXVt)#Z}g)M%^QzE0ME zFa`K<1+xC2ga4{Ol}mWkspcUi{t$+fV9qUB{C1egkU{&6iikM|O$t40Cr!pLueRg@ zpjRg6_Gm7IJ86o=Fv`zQ+Mp))gRct{Yn`;EaGiV<5rvcnKFX(gs{I+%yNB~}qox?g zr^CAO+K%`-5s20vL5J_yYQDZlZ8;>3{;$pnX zg1GC;2W4ZaW6d8(R?De`1JRT;=so-Cop0j@giv;2xhQe#s8)>q_l>?q$l?D%-$EH+ zJq0#UqELnr_-pq75~C(^^SXCJzsN8976gXO`9};{qdxrVO-tCyUsb=0Latjq)_}I- zcLvAiYEIgZ`P0!SbJ1z$w_y))pv3-p*nV<7Bf3si(!PY z=FwQ}xhYhpiCNTvMmk9;?Yg?A@wP~J(zpJARd+-wO(W7uNlnaVgL*a1p0#SnL{ z*J6<$=VV@B2P&}tO+SyK`7*Y54~A|(Ja6OH4MQAbV=+%zKxVyV{tsxb_P_YB0X$)X zA|TULxUIpX!&5!H!gDr}37G+3l3_Ioe*^n=G;ss?i|~^R&Mm7@ftV>&yI7`xoHT@G zx7v}#VdXmQfhUb_J(yAK+f(C&elP~`kqHka22wB%?eO5uhxFsliW#S6c5BtI`}5XP zv5!EcCWGZ@y$i2TFIZ-owqS!#44))YC}Brrg6Ah+^Mbrn%E?gQ7)0u) z;_DG>)nyNB@@q6YuEfIQrBQatM|vnY#rceA?1RIRTl5Tf#}~}ZXr;J84u;GAS@0WJ z!xT)(GfAMaJTD(e!3}9;6r_Xsf|MjKeI%=Chx@o>M0h8iG>_HRxVct* z`kM*u!v{oD`IIR1=K#cc8$LA2KJlULXedCSJsFy5yrjR_q)xYYbbdi=IQxmXPu#C6Ya6)1XYNfniXs1sH)R$ zmH&sqmE!3juP~_p9t?3riw&29j|QBPo@C2Y;Zu^goRS)_AYa$xT4GFGHH4TWhtiX( zxJG#JzNQ!Wxs>fmVeQZwUs8H|;Y(t2^w2|*^o)XD*VFC~74T;)AJHEO#YMtjsvw=#x)AkUjU8Jf_vcdR`J8SPKLJh!MqPaC`^Q#SCvH?)m&7oY}Dw;WP@rtk}qaCpl?_H z)3s)i3^qx zK8k8HQGPkzTSKe-RTH#lI2a4y0P)8whQz;5`!c>Nhii+F@A$hXAaLEF6H?W=nl^6O zE;J&1I<6nP19>mdG94qTQJ84C z-l+#}a>>FD2Z7l`J#!{jt8d7bMPZDZhD=-$<&JWto**Wmv6?IUCkVL~!l6A~a#}0B zBM)^bL{ssZUOsQ})aBBFlmNt%y{-VkWZ7z%c(p3c@xVJxqWWd+w1%$(ZFn&9My_4A zdWpTBr=R%?Vm~AgVUd5~{b|FI@Usj*a_@G!5dZJ3>OO?Foo!@$zO@jpkAU;MkgBTR z5E!d<7<2#yI|*H$2ewGtCQFlvlI?3%zIf^qWC6zCRFY5BOg0ia>4DG@qvx4o8r=6= zbM^HJ6f2bPzWWl&s zFqpM%ggglWa31(-AYQ;N52i#}j%Xh5hACC@|;B16tELH=~`@~I2!U+01LFq>^1X` z?f74o_H*B`A^N~MEGF^RzkKa+oXnUgwpn}j-h34B=24Xead?7H+N_{Io@D#ZWy9CZS1&+VAV?+hvHt%KvSz8bo4|GmH{eV0lxJu0n{K$=u#~68(&#l&2zVLjo`jQbG~)FQ zAv!Zc13v#oVE(e;@TX173HuVxpb$QYiF9wcDS!|k9n(g{nd>*)7W(mn7xNuM+zH=4 zbsrLBJ%2sa5CyJzlQzAUI+97?9mxm|NV4GL3Jy=a3gOHNKSHuLs)LBn8T2H^G@%YD zAyIA7j|!k%8RTd04TOIHh422-U!guEQm$D(2fTQbS(E&^&a=-i;`#;7+VSQv(UFem zl8Q@;`tYMVqR&-{=rC>#AA271?mUY*0(kw{NA&H(aKo61>=*AbuSmE>=`t5hxU2^$ z(!|YWcUu3qMY~A=U%3j#@mFfGrQE#cVOV&O>vo>7Qo5+4JJ<& z+s2Dn3(2ghvV_f$oU#1{yP|wi&=Vb2qx;YTGWXEOHIB0-Yp>_Yql(K=)F!a|32V?n zT`tC7u>L2gLIU=Q#CR{brsWpy`T$!EY!QKdMV&M8!NMzCUsMPR&csMx?s_gS-r%TL zupw`+nE^wK>dg~KmDrwYLpVp{RL`hJxfOP)M$3tCoW@3UvzkP3lZYOsJ_-p0jieli zrf;^%9Xa#bgcLuQ;*#}q#m9(tjj_rRZ%-fT7dzNvmDC9%SB`1Q(vYBU(P^t$msf%* zQi@9^)LTgmFVojF?oc2pm~J$r<&Erj16veq0~YBv=(YX2Fu>TZ0hO+~S2hm|?^Vb< zkv?vc-#y}1L=(al?JraV14N%IAQW&S6@+vELf*;lE(Duwm+pURmJkK-A`U5XA7Dw| zZvW~IhoSIXogtd;Z_atdJ7*;Pg@A8vD%PaqubwQAD}E+D0HMhDmtA=Y0+8xCLqln% z-1D#Mb`X?@vF^|vqzUqI!+y!SX2T+I(VAHItEU!p7o+J;kHjc(8n*vZgT$Ej?-|T} zKFUqe6T0cn6GiEmT=lhz2xNs$nzcGrBOAWaBQo@#N1sO@cX$b&NDuxqN8|&+-M!_*cAE_?xfcSwch3VquMR4GMgWHUP7yPV~{@3`rKsug& z6vYbb?&rAN^rOH@fm1cw8nvXop$g!mqNVIlHH;M}ILMm*fTiUtV5!+bEqp2AB=B2bGxFwlQ@$&rC3nZypBIsEw|@jl|Mq&z_o zD$kMDu$rHvD#Ttf)+g`HOCtZBCdy0n@j_U>12$0EA>G2*c!BF7Td3-^70}yjUPjsY zJ#LKKHa6GSyRG1I1~ueM<^adbAENItnu6mCB`dc)`bFjx6|7QH|806ceC0^pF@ddB zeT-Wu7;)wP>x7{@G=UOz;jyYyF2sY6e%<7u znqByOaE<{*GE@_cr*HVCkjw$ln%!KNB?ivq(88K$f%c)S{1}~q?uu>FLHw$fTS!h3 z=^3eFTZX|T*{lSVG)Op{A<*Z{l1wCXZV6YuQin@crE#g@vba|F(=_zn6pIEcRfl)fWJ$~;6+7q-i0WC7{iV310_*Ba^iHF-IZ$H z30$6q&Fj(U@OIV6gC;37SknZ5@d46VVL~40wgjdZ|87b;@*fD?I9UnsA*3_HC$NKs3(+5b5`^Fd<6xJ=Cg)nD z&&|y>+Vm{hH2plQQkY}FMl3HJ{%6r&@}CRPa}BVRxe4=2H{VyQRoG8I_{7*_^uIvi ziBpK@NB)$mP3AdSSPl!*24@2cq|-;yBD%6)U`h|$H@6|dFFMj2ILxCVo_+g)IKo(t z#3C^NwFheYww+-@C=goWa^}|)Sw+@*>Ti8%5C2U8yfCD@Q%)%34sNVcD1nH9mItug zMn^Se8gnC6Zxn@Qk{5db&qoFRs9u33RyNH(hG2}n2`%}y9RyO9y+ZJ(Dx?V3%iD5S z5V80-xaF-nBLwcL%#w!Nd#sm`mYf+haC@SeJwRS`>D5dxY+RA&7_bL-?>qtXM@IEs z<4C@9*~3xqhY$O1b9}!y4ZL1}C=E(?q$t7~>P3PjxMU|teb3#g7XXVaiB*_1~(s7-k zK|-*nn{Q+|Cmr&`?>()fmuH@%NxEhy5zQj!ouUC-FPSIYNjUc4d=lV^;O436(Rh_eu zR^;L90v4w45T)-(hn7O@PP=W^I{IB>RHx?2S>JS1uaFR`@5v(Wae8$is#Gg@1odD>DdiV(ru^2q+neL1_n+ft#?;^> z4kmBwae(_o@<0zeWFNTQM!nM??2){iGWsc@NfjL<6A9(6|L+K4C&ZJhazqSAjG0b+ zr$dUJE9D(SvPNegZOx0@??YSwCQf#n5Mq0njGKWk=ZoqBQC=oPps-=5b{O09*Ih6U za+T=7tP!iqJnV?q)S?TdnWBywI$AShECoXXN+wE2a#=mi z8M7v#eZ9WtJ5;@GsHOp<^C8r?YOD(&i#_vlMQ=>txD)xS3Ex3|Tki@hYe;SL@=>|W zL0*$&!~L3KU2%E@z*NZHoSj*B=x%Lpn!0h@rXK*;!$Y!Uxb@S>2-o3;^GnoJ_mZC9 z#3>Gw?vchCt`A_c0v@Emr{2eyA6`eylRl--!-^U3(@fWU)8|7}wp3M8=p2yL1n8e! zMNL^)7h_Ca-WB^@HZP#h9ijIB2)Mm6k3(`lAg{1#LAT#_X>=G<`r}4A+!atMq6xPN z5Mu4mfVC0Ja|bg|kEwDQ=$K;-(S-oEH<7LIe-;G7bC|@>Sro&+u)smb3}@g7#zrgb zWYhw-kocS;==>o+4u*2>-Z(|x=$goDz{U#Gp+xbpu&j(JDj|EsFIW7Y5MX(cS74HY zPTrLn^wcTJQ!OyR)57?i-w|}cfajXmwiiQBIv`+?3n*jR|7u7`u#fi`maFl*VP>YU zz|oqRnb+gs#fG1%NH4t>*5Gsw;oRwgBXohFQJwGgU=yZq-jC&i0ZqFT@1Du`8nc3z zz+U&Ptl(vO$nQZL#6QN1fLxWQVM9#9ay*sxMP?w|$ilHQqb8Ij-gM$zxWgTCqoLIu zTw$p0A{pP#ScLnuk)wI7Qv`$JSJJ*0nW~J(Z_&39UAV~8ONQvl9nc$N62xS6N2U8j zSOWCDW9QZlTbu~!283lN&WwqXkrBh%<;%y41%$G!HiOu?|L-y1fDN2LnH-H1Gc(Db z;mh~THb5W(Bb?%t_MtH#Qyt2Ku<^xSBQ7o-uL7rTfQAHnCMjr3ji96DE)+rBlMzQM zKM2`IIHdoX_Y$CZW5bcnK7@eiVuR=vvW~bCB$*j>Uw!kHQyj#f4Vn5+4_de*_2yA= z1h10e2Ebe)X4qB2BZ@b{+E>q!gKB-To2QgwV`O*jgyHkkHa0eDZ8Q1LeyO1k1r)1ewpCbBMXb_Epyg<@9>=Tq@B*tAbk5>3fCfA~=cF`fWGWH=zA zaru*j{|Qjc05sd#S219>Vk5)O`yLMAh2fkrupbQzJZ5uu`7uGiFA z&I(|Z&^rFx0Fp+vl0pRDDk9%qEsv&Ebk~3t$rIu_7Llw~*ZGd>1w6ZW=V!ZlNaM#_ z_<~UYf-FRKBk4A?h>JMPIBvOz7)LKvg$?wsG108DyR{K@DTEZk4d|sB|2OKTWl_^5C#UXM2@!DaY>LsgR`vz&4C$Pl1 zg_7DlVxI}hDC_Jkt>0vs*I9=&@U;?M5YJ8806mw0WrpRjw#`6L@CsBpv>nJevwl=` zCSxL+OFupD{>0A7h#WkRQn2mhCv97A7EF;%f-KD6{Wy&kuw&hi)ni<>i^sve7d_K_ zi9!B+f&=eVuW@E>mvI?;Kv*`3T`9?h2lsAFnp>fEP5Y@^%*_3eSKpVaa@pMI|`Au$3+Shz=FT8^JHuXvI@{tj~x zIV-stb&R=)0vvs@x8kKFcNCPdbqKA?GNg<($X<{(2x|9w@W3qYlzw~gc7wSTO)^R_ zk(P2>LNHgNhiwXKqEwDOlz72>{TDg&S6Qt?)@w6I+T5sXtQsZ?$sIP{sfEG2`YAzj z#(+B_y&;a5D}a1ZUdt^Q>?nYzF!#U-{h6t!? z$%!GFlpVApv%oM22=9p9y`1dRRCVG2j4^M@iY@z&Bhb-G||t zP|7^Gzx^SmC(MViU-z1^&zB#*A%MU8rR1blm(p4#wwnB(749B*xbN=*@k+O1?moO( zwwwgkQZ+b%a^1l1o*giHz(+edH3bN1rNX94oWyUK8_;c^dxG$$u3lcRH~Vsb^o-#| zg!B)4@J7o9!lg21nZLRm0Ns=0Au+!@r0xt=ZvOFlK5!4n6On+m=7F$43uPv?>=U_? zc)Cnpz&_8Jk(Hed?8*XV$W8j$7_k?*hTI!%RRD(Px0kzhLF1p6WceA)=U4{82s*EC zs8jW*94teUktarmfufD#=X%EiGR8*e8pTQeLI^QW)xFT?=U~`Ba74bxg*qDg`-%#m zC|SGz&iK-DmWgyG&@jb<(4Ho)|AzxfnE@xhkv}n}PQoOi?^Se97LoH7|dX5{V;Gz@Ri#xV16$Eb>ZExR@s0vr$^sFHfUqvTchEXA`7W~b9U;Is^{ zadBp*cfK7FnQWtSSKAxBuAF z$7jQ3V`M~z_V<4cLK3ETV?2L`cw+0v;gL~2tioPV94-sGzVqz#fXzNM(L^8<3~VAV zGyh^g+E5$D51riiA(Z-xn7oc;WbyJ22dJMUR&96NMcnPK;Q#Yyd1YTjX>`_+Hu$o{ zb%rvI8qyjQ4`EDP@*kqHqodl+6sDHAxMqNB5u44#&>zl)wFs$TPHl9CAr_`)zoTw< z8YXTkq+*7ZJ}KB7t#}7htqLU~XB=wyvq$ePpg+bK)-iwW8;EOy^B)J-EcJ8GzC9T( z8Ed-x==%(0WMZ-z?glett*5m@ zatv^^ms(IbV7NFx2X35lc41;JKYMo{@XPK%YEf{&@0&TnBbRSMI#u)G((J z=*lqGqZpii8;wj9dq-tebwlKhv&J`eMtLHPO{`?(Nfna`11?kyj@h-Wf4mN@z&aJU z`IYWk1xvX7q(VFZ?qSdM|HPo8`RNO|f&5q?iSsES+YC^?az1bUCQY4&fu!;%yXb68 zJRm*AjW4ec{uqkRp7x-b2QpBzF*&|qXNk4G0@0=+`F8}Rp^istt@y8c1lVWSw*6bG za;M^q0CJ{`>QPvTt-8uiKV#!mZte;clYZ1XnO!y9CeLmT3 zUjjeAKM|mc6&idevE-?9!h}M2u~0-G7}a9!qj5;pAgTP3>bRrmK}Z}}5AGS=`BTj| zG0^z^?_EdEqK1eu*eJ-N*+-YKT=L;aeq=?0QH-GVnNz{Z%L@piv;G$4J_qmB7tm7^ zJCrHqIk!*GLqjtqvab74jHn3KJ?5>wYEZs(CfKR@=Oo;%zCTsT)@SIF)jWyk_xT2l zju{7inrdL>Ft8R_{>>jOPSWSQ<39*Q#zE)-hdSn;5cuj$TP^oBCmK_wjTOlnNAJ6X zFSed824az}b<}e0I{$NvGJO{4g^3H?3B!AkA5Q1j*OU@@W`uKod+G;Q%Y3lM+LhfJ z{cMZeD_|`twy=kST5z7^(d?z@5w}cV90EWoi>8ovX(PsU8@B1i67(Pc{N7?t?|Bcs zfhD=g@3l!&{MFO^A{4%NjL*6ND!P+unxoy@TShOLx^Upn3( zr7)MZXNOmj)zn-arJVE!yYZzBTr<|SmC&gaE#D>LLJkV}r5k!@8GCfT137(PmekN{ zh*j*5St1y_>)6p<1Ee7&ewdD^&gHQE9m86G0T4M~+(G~z!KVT(%Yo9?qx6!3>G)ge z$*V7G8Uywike*0uh#1(7VCo!xPFiI?REOL{8@vHFAI_6~M|j15z{efKI^f%}7MA>o88qNn7#l65`(jRz9Qf=2#oM%`k^I!$tFRWb-7J&?MXlOBmLtz-hPPBp~y3QB<}d8A36n*6ywi zc$aq$zA=b43H0=;Wn|`YTS=n}IUD$f;U5#y^_w{C1It@~9$+_#Dmgt0ZjxHO_h~Ei zHWoqN)ZCa7YlWNh{7!q?HLn#SZtdy{rDIq(`wP04ch_*Zz5Z|JhkC`26_o=NFs%bC zp&@NkkymkOm9)k`nXUSI2H&$bI)=orB^Cp*#TmY~q-t`2)?Z5P=G9vbv}rqo1CClR z?(W#bgHW5|bk`p}q|7=QyEhAdaqO;CE63DxwT%YmeCx<`l~{?A35(zgH^{ru8VM%S z&Y;r%M$Q81%u9JKG77N9ey-*XHFB0;w}bbe(vTL~8Aa5=Y8JyJAs^1<8V#vkt&cqa z*uah$@a(vFwe6Bp?E)A#n$?#NuT@hm9{Y0(sr!kuo*f}u_Sm)bmK`66|g&oVV~P zm3+f}yR)4W9nX`sIcXzppb0MwAqvONh^c&XVz&Gj7avms2Wi z>K3>1l=4FP-!&y>-mV9}^cPD6f$WKa%x+b2(lbg{Vkoi$mGgUlC^D8%h(D5Rjdx|z zy{u`3Co55H_U=~lwr_wF9k8a%zoaR;^BT#?kHCbartYhh7Yd8(!DE?X1giZKBI32W z|5)RT$V@3h~DDi@|l^>2U!Mc4^oVI1sw zrV5sud*t&rY}&flNx7{ML*Avn5Ne>zkf-8#R31uSNzwCd*}BZ2`tL1}okRpQ3I(bJ zpiUG7$U^^>5sK^}AM#Og>)HiN=t(uJ=$+hHln_b6t!a%8UoS5eU@?$=iDLyr9iJmd zNJVl-gxxf(O`R}B&B>5^X&Im&hWYhFyy%rf`%!*e{p!NDDd?&*<-0ajarYBEM}R^J zOk(#YY{5_Wv*V>(<_GB|m+29h1T0aHI!08~2SXRx=cpEtfA|JJ76kqQQ_H_<%OVF6 z&6JCONA!+FBPJH>(<7p>f0s;dJu;Ez39$=;osX@dkMqDl~PMj{?M9Pa@&Fo3O zYuf;tVsmpCbU(hIOd({L)T>)S&G<1-if9<9m62#6)nPP19+&=?S#XoPj0B(VgKzW) zNJYKb%Z~!&(PGSz7?|jMsi(rf2j6jSVD`b4S@W1bi&pVtUn;6QS?d7+t2t}h+nmrl z2Fm1~1F;IF>?oiv;1#76B?5;^;A?pMJmUAS26D>(2u*k?pxY9?zwO2F0Y)+W9}TMo zEeiULR${T>pS_B#AvZ^qjl~LdF=h#U0CL!Srhk+zLIqVyK}qU{7(DPUdt*H0+K*fE z02VT{&}nk|wiGo^p%_WkK=a>>Tzo1#r3^v8D~F*+q~SAs$DF4*`2gP2E-;Qoh^QFv zIyR7)&sw`Gd2637R94xCm%_3rOWR(Ol(I%b!2Q{|Y}+2lxdj}(}XpY3maR|}aeBhcBIh~f z!2SYWmhr`c?A{;ZUR=3N{DQz^xb&#AkPj608uE~hMPGI1O$4oLJacj53-3Bc^d-@> zm+eR}@|?bfr{ZF;*_1bMPt7<{p_?}4U){#VH09cP@#$)nSlwZ<#p>MLfOVsJIyU%; zs;o|v-^<;|!ood{p0|Um>mvKa=d;i!b&wea&X8E zlLUe_pOiVex(>ns-BjldV1iZarPmRphhng=X=qKGGl{#+pB+Gi?Ld2{0m=jU+KnsB z0O#KzeK}T{O-);D5todCa+i9|%g3zzWdNTvHYVqJaggbEU!e#7*YAEoU7t;ZB|EGX z{m-q3IM)sbhxk|fmn)a4|H62wyEuEwJ1_~4*y87rQhK(xp6hM*mtnp)r|8fUVKtD?i6Jb zVJyAM-D$wwFywFr{>l9+0nrD_&NsieeKgiPFOZ#-xuW``OUTBj2G zh75U(R}-dP+=!_HP&%VvYlY2CZ^in@x3xFfqgKkiAdHWyx6>C~I5RXSj~^am#!)&Bx>To`tR%RnS$@X=lVuXO}&Cqn9;92WvemUW+Jq?FCzn<3Vi)QE+~s+ zSYfW%j&RlUObxTcO~=j02bsgu)l1KI3t(%lR7M%-LM$U-0@FB>$0!An-+rs*hJX+zDG9p(NTdWPUo1xNFKHCkxVbIlPFX?dkrig z()&=VN-06mC*HMa1aACDDM&9M`_u-p)amRV`EVi6$DhJmvqj*zMG2^-i9t8^3*t~` z@*Rr>>BwgTJzv(L`a*1v2ci*WQ-M|$o7cx%OK0jYzZz0V;iX%4<0c4o)WwKs=`;tn zi1u#;?xpO4oSvU;sD}pAt;(-6>=R}=KBj%^gKuN-Q?r;x*P`HV+g>(d-9YSE|CJbD zZpogN0-P+tGv=E0w|?`>e0SEkC7UUKai2&-RG9H9s6~ITMmL@w^!O^!+iTx5`xic^ z@7|cT1-O80pJK__ex2Ll#x$ySg%$EEUe0uPbN{LKkrGtG zQfx_V$?D~tZIj)ajO^>Pce-l2d`Zg`&m+LEx1cgrm~7m*D4BaWIXRdqkl9)@Hl*Ee z%mVxsxcmHmANN34v3bi4I6>9;1Bh+d^+U^|3jxZp72VEu_Q!|3pIK@DHP~p2sFkwa z&t}wDMuGRDk9QYkBtTzinR(I$c$Yf$JYkW99kn-QUMdHD#&F~HrW7yWqPQ(|baWnk zvZoI3exASDk$vSSy9P8{R7vu`*fo47Az4JzIoD65clkbJ z#;Jpp9-ZTx^@B9_m#rx1{eU?~x4L%0@Y2X%#TE1Y_Pej-zSqrN2d8UxT!#VtFO(hq zxuBsC>4@Q^FbXV~x)BARWl1DdNS*pd!pF?|h%#Qn(8xlAs#b82FgV5jpOs)^&0(mY z=BJ)b3kTr@xiORM?}Tj-*9Z25mP8GxgqsN9QY@jWY)EP7rGHLH5jZ@COSU-CMk7Cr z#fr^Y!+%bT(M`3C`ax~n6^I{jiPZ#ayUu8R;_j5xJX&?%>A0|YA&wK zfYiBwOY2qm1zU7HkpddF!_XdsKCm`2Z(;s}1z=pvX{009KhJJ)F>7gmvqt2Cx`FXv za8^ZUo;XYxW1tDzcEuS?tV#Wh2f?d`vy1PwevNdM<9Xq=^cZdr_Hn%Pb;Tb>a~v%*Hl-#F@7*)fnfmJk{LmtIJyPhV5EoLPW&S z+_5!p*2N>h?Gb!E%Q?6mcz^fo+NxZ7JkwSCa|r}AfzKNNm+;2ls|aBTa06Me2_*RP z*IwI`;V#bgxy|QEH6WP~Nfo+#M*Mru&%vR`N+$|mRSe{Ev}iyfHoe#;nTm_%g{`E_ zX0=*;scRuI!Eos9Q~4PiODS4+Pb=O_V^#Ekf*6iF+WwVWjA=+d-AR zfa|Y|{%4|F(OxR0z6v>gm?iUefBuMvt(iyWGnehqCkhmow*R~XYV54H&- zBXcboon-0>UsBio;$H>kvSHtXWIaZtsjndqFeff(B&gD?lrs?aU)DP+mw9_j?zL>tR;WFORiGp&Wmw#B(UKF0P`MNm;)~c7XwO}L_7|M~2geOm z8edVZYioN=RGrh1h5H0Mtks-jZ)$RzJFc>r1*Ru3s+&%GbvZg5w^m)YWmcX(D9qjY zm?f_^rYV{Y+g_jQeR{TS7=GMUbt=;S*Jp4RO9rM+zI-HAZU9vdOO_%qlo2rZ@C+J+ zN_YaSi7FUD5p}>KUMqG)X(+Y@Ht{w0bv&;fyr;b$=y?71xIvskfnVxV?pl`n- zO_Ssxh6c3wAY%4d&{QK3RV)V%6Yztu5X-h%zNgrbneQAIq5t7`b``J8ZS4sdiar-O zDC3FAb4Ls*Kggfk93gx$TLRTU2{gL=dVeg(H{xWef}*#dcPY$)`#NiBrRcDb@ay0X{ctqo_E!OF%_X3s z-;}~c!k9+Wt~KgZFQI>7rSBXUL*(T^9j&q%CL6b`n zym!)GvM%mDWlz@TcMf*d;bAwJsWrYO5PO50;}B!3VgCAaO2cq+Q+Y8VSYR4C zc3_n7G(%m6*mI-d^#e;5u(hvTy1n{@Vms?BxhS`CPE;`4hA_+#K(J8=u zIQg&2rS-8x0z=K#%2lK&@p*uvIjGPwG3~@Lmc}1H+kaUBp0H2KgyW}WQrD{41oqgE zrE`IvoeDjEvH$)sVDPICD9a^#0=s@C6C#O$rx4J{z`&!zz!FuOfNcGW^)|@f*B8Ya z;c^q05h{R8D(Hcv%$Vd9G647Jz?r}g^WZ5^M8j-kbKm>hIWOz!puC@^o9bYVwFkRH z{6GfcrA4aZ8q%s)t%3M}2WP~mtk@s0H$sKOXvh#-yJz#`&NCfQ=QJkDQdo-O@-a#0 z_PO{&Xl~gj?YQlQsqc}m)a}S$KKqF3$9^AJt#$Dw%hg3GgRk?8T_HM z=XL$>dydvuWxhjHhxy*WllfwWS}5|Y}c@NtX3N(GC%f2S=oX( z{S~YD!#!#M7u>$%ij1`E?^Y}gvlRC*@#A&{}gp#oT*AyAb?e# zic((df5)sKGW2TBz4~hNH=nCx#Zy_)>7e~K(Hk6!K2cl+*Bm1SX8!!(Af%l|2$1+- z2^1NH6&QvuAPf=9d1|WF)ztw*oxkl-KCndx-knt;{j{3_-`dyM%PwnsCSN+O*5GZ#v(y_#jDbpg0^4To%fbQBi8AfG z`den9#Yrg3&&J0CTmlxVLBcrVS7#mx7~*Y+tzjd^jxH_|D=Tpe6OPW_UDXqnz=jq; z+z&=G-6JCHN1lyw&g_N-wgqVaYC0Y-r>CcxucxP0_55iK850}cfSS{owP$U^$0Aq1 z!tl7^THoRR=3og(hCWL+Ty7hJX)C6FLOFV=`zvQqV;_Jy^1vMO1BSK;F!s<`-EIWr zublZ>qw29l0<&8}NyJ~Xq;!LnksDvvk4Jry<8JH)0W=dEc=G5KFsX9|>4AGSkvir4 z*rQn054pTAs`|3)I`PZXv=3_E3?|Iz8)4A^U4qeb!`{KlAN|%_eiQyGpuvLA!I65L zd4*eo03$5`?*4X|*W>J{Jlq0I>kcQ7ZeMPeDt>M$MJ7oaxz=%BIzG0z%%|;Z<|sH;T615zRGRpd`F~zZ_Avwa%m6wP%IyPwV=>GrO0?&g z2c^p@ZWCrgf-zKULHREn#!Jz&f+J$m_?@b~nDWd~|KJfv1|j`Ovo*}ofb4FbL(WWx z+1#lBSEKI*5WCphgCcqYTo-B~8R-13rKjCmA-%URFZc|P3kwT?nw19INQOwA6D(m6 z;QY*NHYf{^wng?TVm)e1u08Mk#bAe*ok}A?fFv=EH(1`jurr^ilsp5vH(3<#>qN*9 z&6?aqq_0ZJ?@5emd9jfc{5Nx+k*R%t_QVrj8l$!mS??6k!BHtMUh$$N5@(A zb7NK>A)zi{l2lihQW;<$-P_xHc^PGxFpW5N4(uk7#(sFZHhSpx7W@QSP^bkUHmIQJ znSRB4z0XrWj;*2v$n12Q+asK15X)_?Znl7z=_FW1j(>S4U^!_%|8Kf_V_p@&d3;RR z6ov$YlD`YNZ_%pMH!6oqV!;T2fM;p5wM#~=pr#DkP?WW3f^1$l^XbquM54)6f2vbt5_oZDYP!P>jZ)7DUG`_D@SqI3Su>U8aB2+8w{R zzt?Bi3*qfXxmaR*p;?Oc!^G}ttJp$cN#2I3&@=K|&(N|2vsQOCoClPgxtbu)Wj_MO z8;1g9C_*ESyN(N=_*H?{hxYJPAQ`2$J!vAX1vhFKI^uYtm{B14N|AfWtO<%jDHiQ~ zKSTac)H;pC$G?IFOv#j1JQiV|kmh{f0~g!>bQuD(b3WdlotpQdy-lN;9NxqtbqxQU zxuTgsL)>3X=zTyD=g!+HM~}rg@+1mi0I<0_t^zCq4$otOWZR=3diyTD}5v@_WBuV&3z|5jl;snWneku zJ*=<5pnVmlW+$eN<|w>JbEpZlCMx?5wcV5_$%}Z|vjjQKq%Mw&Nv}rpvwyZ(&WZJi zTG~7Q(~_xH&~xz$>$ipbGKXz>DA`)$d26S|_Uc-?Nhz#y?X&kxBeLR2)#>)x8arwy zd&B@bF$CZl{J8M_%X?ioPDF+-)fTQf^F4Ko2YnlSp+=%fiJM+}JTib-?{W8N;hDTk4M%DP) z%}t$C$By5VptCt<^mB9eWktGB1o#$csu!xmilF`GE`)%3=?XNAQL zyTT{mc+^fG(~5C%lx!9Lh^MNMTlrjc<5V%0@Fw!K?U(~Fe zi_Sz#WExQ=4MDTaiziT2A2okJl5BDY9VH1*cRrj&3-d4)UTJ_272OCzBd^U5sP77- zVrF9v;67Ou;h0MW2X&7ADx6AeVVQU6S}n&?7<@bc=?-nF}m5<9|a%C{yx z9`PUIAe%aS)CsX1dN|E9|G`Mf1GXVWJ2*ZKG0rq^S|bYmCaH$}5#yVi{jvIbwtgie zH|RLdCX^doI;q_G%&Kn9U$k`1q@Zp^a|(z^1S)Qlx;63@)D zym)*CBx+zlaL!c8T<7WPU|-!tas7V6zANGmkyb}2D)OSpHW_}5zJsst$BJ3bvBmNu z;1K~_^#(R*cpy>mZI@v;=27i4s+p;A&=)W;d9CxJvv}@X4Pm8hei<>f^8c1OU`zh; zEh){Q;E=`1$tfrSOtatS2tSqIQ5$<3_$=Pv&%Ha(Hlm@AwmQL^;nx&o7aK9g@HD_l z0`;-rki7XvfwQMQk1!!S?xr~g4QEIIY8?GS)(Fr>Jye~j zn<4Fh8F*-LB%c&j)|NdIcX^VizNp4Io^2E?exA{jE$=zy*o~p(X3XJXSbG9N(E7b% zsTmD3T?s?iw2@2cB7*#vF7`Nd+<*|lte{$WF`5NK2ssbqxzeUVg+q=8xZbbmHh$Ya zaJ#@L<+MpL*BX5OLY@nD*t)zXMinE*+?M=UmFEUz$YogG!X-wbJDpO7bLnSZtd&rp z;zCgFz5SgadI+oR;^Why&1jI667l76E8ikj2Z(fUZS|GGQ?VT2&itBSKJ25857MqR zb&RX85?6G=SU0VUzN4DqxrgM;Oo%cYScGWHs|bolIUv3v$nP-!!eJ+qiXe`{Q4bjX zjnRw}7KXz8e~c?5oWXLcN#(4Wq8mw|5XK;F=yFrup{Q8Xt0@0q{xfm7nV&&iE%v8}!l(DhLss=G>OLuqY&<)ZkAfhx3QUcQ5A`Ma!Xa8qzxZy&FnQy;)y=y%S zTk7S}v#PH5{>K%Z3!qSWk?k8n_XIC&@@rmoskm0hh?kyI-B{O57a7~CA+Yj5r>+OEd3I`Zgw-KResP~Bb>3j zs|yUKGK!4Yt7d4{+=lrgxxIx|Q)9VN-vl~fPbgky4dY$s(bQDB<+6=RZv4}KQ|pe}rK zw!DMK?zotTPqxs2$+Az;?DDJqDoKZhiHRhnHRPY4s?Pp_C$f~^rTmCcpeSaNgx8>+ z_l@yPe#WQ^FSo-qFJf;F1bMoS%|QG?i}7<*mI3M)Oxvx%!up~tQ1m8PkY-K#WaSZv zog9va|Cfk{B1Q&xTIx)ws2k+nfT_l%pmnbX+nrhA?v9wcOh8JIqC!SGWF{fhgu0MI zx2=@i?otW+?uVI^I9ArSqbt)fV{#K_b$0S6m5F;DqQpswJb^iLZ+km|>lU}t3ZX8k z9D(7;d$taAm7$&&!~dcu1HtwIr9@Fx>Htz3EKaYEcO8^ge6l!;Vix7~PNPLO@^0ZX^L@I_{ z6n1wT^3?S5X~~%im_T=5f&GFbS=Nt83 zKes^}a(y#gwqT)r@XY2ua+LTH$oj(+`@C~KvdHAdm$~n2GduBNr!A8&*#zJ%8twuQ z;yly>Z8G4ms~l-QEWqQ@Ieq!XYnl>A;eJ-zsm85yP&D$`o(F=hp?rhioDstjZXJTj zw8r60IH(K|=*Z}lHFyghMWvPLMsVqHzJV~JJQ-}8qB)d5aR6nk#FeQAl zH>HJ820QdK%pps!UcWmE?5p}5ZPC-&?8qQAufyjK`s7$bQ-uBDLlfcsfh(qrSD3WU z+1wu;S-L9`9#Z#Je)J(Cw;X$N+`LY_Rtu#h*1FU*c%=KO=HbvN7Wb{O$%coFe~CiP z!y=F7n4yJB>-prQ!44Lkgg_untO}K{_6h25WiM^p>6}6HZ_k4i;eOe0(j|O|LDW)n z$EO`|9PVNY6?#SJ3@yAtv#^mJ(QO(aKng;G)D-zuBJp`c7K_$y8@>;*s7r= zw$NLf#1QCA8LWm}A4Wi~K+$fZpKqi^5FG}(^B_P*$u1*WHlRWD>j`y{35N3Q2lg_Y z+WL^kjbdMKuORS;T3Oz!;OcsOpgXQR4~Ra@KO{v7Wv2eyw%Skd>Tg-m@Pu|^U6W1U z)1!QL$*6An<(hgK;TBvz5!EfprI;V2<8HaU_Yq zc3fXrC#hFamkQh5qV0VA{J@e4und+xmJz#EW zHp9EYJ4d4_^9>xkB{?a{GQ2*+Q z&4`>8Lp2y?%#K-_cX+#>!A8$4ts+t>cz|^>?27%XCFM8!5S&)KFlMDh1q|r@0=Et|^2^8jt4ur(BzhEZ;Z^WilKMi>S4FPj zTdZAHS1gw(f!|8ISk-#zGgkxpzKgjfl;C@NT5$*9`QXj5Fliz?#i?3Rf~8k~G`qIY zTP(aj%)Ji`4h{zLE@@0mS?#`F{y;LC*s=fM!xGQ-@87j!SDiXKt!34eyRf~1@q~sU zkW9diT}*8Log2WzNrX-jFYI57c?j{>LaQ!SlwVBtQ@2Uc>U}sQnzFwW$M9`!#$@PZUI7-$X*u1*`;`Om$fV+n%^#KSL~4C z_vLW2bwvar7te-7lb8C>mt?v}{W4_+1E-bTJM*7TB4|&Brnr(i>--A>poQt@VHs0; zLwb8Ve>+8haF(9`rb+E49bC(+@qHpB(F2O(5dP2Qjj>?d=_OyRV2*GwJt&Z@osLP; zLl6PAMpE4HG_4nrqYt!0eN4?B8Xe~8lkb#^t1$We`mu~0zQ%=9mrtnX=qO-4a+?-{A6o8 z=<>UC;NECVt4KsDhUg+h9b0m)z+{?WPkzoBM-|0^M1Gwv6hU{N9(dH9X9)~nkeQ_9 z^f>i=wxb2bQ&+nv(KjvW+=ymxS5B! zZ$2K;Y?Xf0Q~Q;SDlP{k)%ab#oSb+CTk@oJV~d8{$GXi_IY`W6etbTM+cbh+d%9c$ zF8#v%?A|^EnErwkrmr-AHV1mp1Wc)8o;J3>IRMd&E~nzFmfcCh*ps%~IS*$PYYiap zYDnG>uJW2SFwy)xTV;=4K;sl~vW))2ou#*zv5|afNd+@o;Q9c&2htsAD4D&=W!8Q* zS3>|0WM*o5NF2a(&Qd_MOjTq_ED)vMi(qnPj)-ZS1NTqRihM003;lbI-k$aT*A~=G z_Ii2kmD}Cup9CAcI!zwJkOSX$ym`Hu#V*QJreTynL}z_jubFLxG^b_~O41e;`TIub zqP~W{3dcYct#7VbO8t4A#{Xi-ne)+YGOsKibYA3o;r|L#g?(U7#sDt=K1C07wXdx? z!q<>t+xHcvWy-fah!@M+dqisLVdA@_aDh{@H<--ln73sy`Rd-3M$htrtKNl18F-KW zJl}Mo+e7c+bS=`ppuRc!QUuor<%V$9m%hz^3;*#CL6da_QwFN69eui@3aUF?C=Lvt z*;n5*ZCR{%FjZo_`WjC_A+S-p|8MuGznziQjOBvDzpNh7cS{zx!_70ONI2R7Ld3?Q znfy$48j=u!(-zJeY{A_+ElXs zYvLTP{)3@c;u<@rK?EBj5#fvHk{)Ny1q%^*U@f(zM@v06RtaLF5zpnv3C8^Z$NjT% zWE`y1n5Z!B9n$*<>z?HPygBx0Cy`&{CYqx<7pA$~X@m=1_ZNQQAj1nxYxPqnpJxd5 zegxY|U^y}(^O(f=*J;*dP@g3_)f{k}?w_KQ_6TEd=K%{VL@jHGR^Y2+=@0)v=%TcR6DP;aAFcy4Hnzplmf&2 z&GPnj^XgL{uJFS~BnnDiryCOIzb&BdcMemSwrl(E-sCgHP}&m4etLGsgO+P|t+f?e z#ygGb*4P@z#9Ai;%huCzO@_32u`>edL25+wB~OI&Y>~9ea8Wsrb7y~FgNV~7W6+=k zUgm%Zs)>FqQQw#+@aAe43R2X-g;RXf$Qr$;oGs2Ia`4%O*6(Q5hXTFx!xMa+{K~tc z)`pR+2wdC_i}t8W#1{k4XF%>zcvjN~r?kpJn|hgN|493VJoEkv1>>pz`mE2WDceSu zf@H`T-RD8Ox)`D+QkI|k_S$JkfRf$mU(i|JV*Gm?q()XaYwYIns$8eA_?TUf@d? zn|fo;6U6mXP)%ApyB9Ypz$Cv|kKoMPbzru0FXg^*LMLN20W*c2ZPhz{^Zpo*j1pZR zgP-&VH2zglF!6EYkd=%ZOcw5LA&XJe7}IhJINQSQrQaCt4|>Wt4E4g-KoWZ-;>9J1VVsY) zGFB3xtoE~C@dCdcHlMBYqanSl7rR#kN5f+d@i8Zwk(|J_d3F;d_x@<-{I8W(Inpf~ z7S|8ts9&XeD(T$@-&X=EhzpNMIP%A?gF=FWl2{+EieDh!G<>gJF^^;l6-rk!>M3iK zDompvk>tpLuiBc}wz!~I#q$@=Aob$YwA$MWmz8gU_joNdtR=962l1y8o!qx-uIYv3 zjIBlgEN|QksgeTjXFn&Qh@l=-aoM3Z*$lkxx7mtuAMvUF>Ol04F1y#F(5^|6Qdjy* zOU+{J+nmTgP1+#5g0jqfNC0oW%fC0a{@D9{VLv#%9MDHx2~Qb*`bPfT<%JDaV(p^~ zjV@%PpI%z$2doBEA$(&Z8aH6^e^j0_ts0x>1hL_ua+!TCMmlx0zY`dAW<_S19z2&` zKJ|$}RoN&p^N>2Z1@tVwcnjL@ZQQ$`pyls=FQ*yRbr6+9mE{R&vxVxoqy2%f%sjno z0g||DgMiu%@T0tKWkncN>Du8n-R=f#WC`#-)tMIEYQ<8c`&}P4W6S6XhIVC?)V9zR zm_pIT6UjBYe)*lkdG;9|eExUGKXmiuSF4ryfLeP`gW?brPbUSFp9eQgvzSEG&!L=Q z+l-1ke)2C3Kk{u-_1DTZT;s?Pfk;)cMEc|fJ!0(RSk%-=M1ak<`uo>EsV%9Nv39=m z%a`yyiFPQPVl`QvdsK9u_uE@=uSrNiFTzaJrv9SJdVmqOZD1Z`YgZg}lL!6jy3N&R z$E5r(9zE$Gf{8wvXm7hS`ZjRm_AX1&k$%f-JdY<-yyh#aHuWeTOYTmb>$XlVqdnqT z=AKZa8auqJ!>n}s8|+ckJySC?fXr=%Rn`pd%?ukQJQPm;yb!IVzNN~!_*GLvL4*lw z8!}a@Re1M1T9hT}2-bNKy2{gR*h&tkHJT)PT{JZqXq9_#U$)I&i4gG4U&7sh7P)?w zL=3*a!}If@3Uu;FbNgK@zqX3$hc~lo)jFeh%tdY4E{b!!yH#&kpSG|=EQUBaIrZ!H zR8W}`bm5#k3LxeeZ;kL|?6B2rc=O_0F2M04&rvq+9 zxjPCqaRr2konfaru5!0{#_?7TAFYrJ1xa;;R_fj}nqxZf!7Tzza zCAiXgwv@}z#7R;1k@ZbKtMkAQ`lalkMFkP(Cew2JbN@5;SJ)9w4foa`adbk|(q&^F zpQe7w&UGi%Ja;6yVoymasThu=zVDu}%a=G}9x0nzVKR}QV3I9ksX&VaNN?lh0koF= zR1t2@CSlYWKb>};&BiU4`M1bCSZ3Oh+ALp8+cCR zuSNW*Vm@;F$rhC;vH=?nsckFsIdhO%#PmD4cJ^zx3AjQ(=D3hLb?h;J9hJlin{Wm= zwoeQ0h+$*)u}8XBvk5I?fVCoaOHD~Ivn%8mr23ee6ej&U}c_(F>+-7yx^}~CFnBZH2eqbn6MMmhQ}kPw-)a&h`Ipo zj8rq04}mg4428cU#u;ezv_PW=F>E`3Eei5TQ*igm@p*o#zm!DddDvg;6v-s9XsH#B!=z{WZH^I9f+|CHpvz1*+>j<^v*rS`P|-o z4m*Iwm5OrO-;6Ga|HrFpowrOx-pbE{dGJmp?)44R5j~l0xM6Hp1HqX6dxX?>Lk=)? zvf?<2Un6KNW#Umdp^C9Am~-ZUtSF%vBt*cUsRUKStMDcE^#(z-Ms2TsuJcrpgeog2 zkL1mM=YYkWOX#M9Ev0TvzJD8az!;5D$M(y1KwG~6MqVL|S_%R5vUWpAj_ZeaO!I2o zz1Ds^WPe4A`x^GSg?J!$nilE@vtDuAtjrXdjye52_xg7tn^bjzt{Ck&a-+a={YP)E zG9y|3tDlaHbl*^E_$+_IM~y8`>#DWn&kJ@j63&{l(AlWMHzikmPi>M4d0rhPKu(D2 z%kM6|#RW{RK8h)x5>kB$b`1sgw%8Jc$x5hA_*c%wfD4hv@WwwlyGg!jjKG^_W@h%h zP5j-0AubbdIm`M>ivi(|bVX?!2(WvrHhyw2--G&Brm4%}N|rV+4<68p#R#Uq@WhE0 zBAn`|yq&ZOuKy6gz$f?c%JuguRfe^@U`%~MKI~YcA@yl{PmNb=fyZxs=uGFYKRzSR zb7NhyGKV(;9j4jy8q$8PO@Oa0vCo~ zyYU-HUR;97tmKdA9WO5q^XF=?IVD5@$sAKt)9XgGUaOsD;L?cs!L^H=I%v)JFcR`O zQv7smfA`5TA6W2fjEef-IE#Wu!(0a8=J+^hWDg9Y*$y8qUh4BTbzgwb-wh%kySWyw zc8k5(*^=rVNW?~vXr*HI@3W3r#yf4+bUA>yk6t`VhyB<~CpTrjAdR*AQtJ7N9a<== zOhSj|EIRe5u!S#iLy*iK>|`n=OG`(>7xWt2Ah@ua2`ScD4wbcEVBn=?@hKR)15_ph zIyTr0s`|bLJNaq14<8hJQU#@0>;trxS$e<>V+X&d!4M?_oHjjw!iAf>s?w4P?r`Wf zH8JBPrPY?Ov*0O=Ca>hU@=Kr`WZ08DlP=_q`ay5)5ufX{#1K46{f|#v52I!9tW7QrfaJ#8Cyz&Nag2`W{FW_Xr7ix^mO`oYm<(zuZtOc zjW=!+s~sm>o$NtHYB2=D4a@yw)mac=#;Vf6=l|c`PRc+m^M?ew)bJIJON5hss++=* z7)zI~yiGX_PK4)sa7WgV-GnRV&&Y#;^3X|Jgu1?epN1U&q~Xn95aCgk&NL(bhp%IH zc!IbMowrqq-7UQN)?aIvY0LS7>oe<^?R6GM^yL==8{+vxq#|^cMiv@(<{0t%4^4X< z<4$MaCYQ=RJ^Xjb#@v!|rPew{YM_?+@?|nfuhkID?YvlXPpF2-xhaD_ig!#46O5T}3{>2W-caHGc z*vVjG4BpM!ahiNg{0nCzaIcdnd9`nWsw21pq5_+@+*7ndVe%1K2KA~0-abA)z=!|} zlEQvTcdKh?n51ZI_@)zm{kCxirsDsXQW?>g(#niw^IdaqG2x5h@OPYYI+u|iu2Dsk zk(>r39cCNxZnqr8&wk2aoQarRWZ)?zzd&M|ZIs1tPJ@)L|rK z4O%-zD8}J=qxd;A+e{w0&6I_li4b za|S>a`T^v`WreT87aV`F-`;>dBg5feKbS9#|BmXLJSI^#;g!EbEm7I?8~=dVXje5i zvECVJ$!2+m_5;9C6^Z-7p?;Xul~Ip=yF`i^1}8pp_T^8xY)WL4qj`+{{{SyqKf z(oqVSCJY0#B0M%msuJIZayCD%_`=DO?dI~qIQb(;Ss06+NSx`>S5+Fz9cc$lNi4;R zg>~s?HkBY-*l%>nxzQJy7?Y0uop6`)*{?`@91|QYX<+c1-r9^CW%eUuHG_s1I0|iG zpU`@2bZ{HCcm- z)#bC>oSYn#kjcF01e`G@^nB+*riRCNa?Ss6X43yYv&7m5B|p|>&5hior-*bXrXpUd zOIkeQ&wH?K24_>u_?rj39zlT#&mjF)WK zwc=3ohkRD-Vk`OE=4gbdx(k#-oGPN2M9#W9)NqoMBnB&8z6hDMv~^H(0p7iBpRhOB zb-Hk?fSkK`n~vh%^-J?6?8{uh9YV6Sz?3}O^3xo(S&X08{$xbOYXxa51P-owf zgn~T?_eV(>oJqclI9mv{bGNjGT{McR>9BNm!Vuh;FvIRZ*$~w=aPffiQR(Z*l!a+;d5Z2vC2e1nW4rSZrFn%g&lRsAWx#D4Ru+MjrN(fGX zQ~R{S2*a%Fz6_2(^Wd3$n%q#J;k6V$7i*XSxGr9ZP@$IW^4$Fl5T|WyY^2E&;&aPQ zHQ!dQ;Ev#dsTj3%wNHC{QNaLNR`t@=JqAy)kjvdTBn;`i(ZI(FZ^EQS6jhojQ+cqm=GiCtCC>--tBYIk)DrjlH>LSt@!fUmD?C6_G%UL<(W1M8&=hZy%MaMzxPa`ecJgj~Sl`Fzaxroq-L@Q*@UR zYeZ0R@MM9Q#;b9O7%|`|){uNWAE>Xd-*`Ixu=ph{ti|R3Ql{v%Fl)(OR8gv>#y}_g zrD|C+(;{Qe&_MWD_IyUWTSDjrs#T^f@&+`hQ17ZY80Cw8yxpSHsk%ix3!#c!bW+yY zP&9ru((R1C6|-8jqlVfzfl(d@&-S!U737boUGfjsAZw;U4>*IWB$ZQ8W0wCfWD#b` z@OiJ+##JYE%`X(6+<&u29&YY(;%R!3S(v)Cj5P-^QKb9;KMf}48vJ+W&jD;zTFy+sF^@GvK=({sU;-vC33Iey63%z$%hL5}r^DKNH&L^Xm|~C9e0~_WF?gdNwTV#lvihHN zm1lFkDYI3%a5-#x0jjr#)KlgYd`X;9DdP5>!%Ftbs82U0 zwXHtvww>pFTDY|>IxBY>Rp@&y>v?a=kK=J1tk_l~tz?4afnsn2x`hc$OfH$q3Oi3glgioQNE6hS(yGp4-vtsxEeWcsbe->!L7@hA=C+{Z; zhtttb!{T6TwM-`EJLz=Z8NaZur?{E9L>% zeD5kgy99W9e=_AvtB9^TTJ-1d!@PYb>nY*rfFGr@{ZWN#x_t0srl5Py?#&3xrE+Tv zgF%}OapXI5MlI?#WVkBFp{0wV1Y#f_1Aj#sfF?wKfyffirw+J#dddk&CVBSH!!8X} zG8`nXmRZF2PJ;A{EIH05dVRb{FIuC1{Zp{U#t2@H=j02JjP3wKLT6s28CkrctuvhE zZWd%$Z?4UIHovn)b17VAUR7p-FIVhj$VGyAF6rG7h%azoUBOnEeMWivM%9Q;BpW{* zN>Rp9N1lGPove9)D+_*I^5Kx4sOHH6@n2s^UyL<7{l1cG&46sI=0K##WU1|zBWt2s zdQ#Spk?6GobQG$xGz3qY48|&t2<#`ldJHRWC=^g`z;zfBY zWY>>X2+s%u`OwCv;BW^*1REeOo!vr4xWvq(tzv~bt30R{9R~OQ%0A@A{>|)H-wU`z zhgtsEP}m zZHnQWeJwX3d-)2Zkg4)19G3gc$;qqCUemZ`&ggU<&g5emp8~XV&dUJzC%4R8IkIbLa_YS@BUTsPEi9}$I{ZBjz2 z#-Mi|Bv+vTj#NQDKIoZz3GEeZ$D5gyPoUhSDefruLWw&{C`1-Q$Rc8mQP~{ahZsbY zGBc`hR?oYGqu^F97eT)&@>2XqH=T=*Z(6!>P|sNaw{IUF$F-mI3v4{4qXl34tJhk& z>rCAckA9|f=V0KM_T=%Q%i|rr0y7v5!_0UJ$cGR$RUZMY(pP9(`WwDJ;vSNnt}%W5Z6+-@ zuD_8<(K@c<2GPevZl8o&{XP;?;3pN_ok^U2V=Mm4C3RBoXq8=nBxx5kneADuJRd(PhA zgMGsMf6t)+2FxHIsG9%-GK}(c-PLOUkt~4^nrv!(7C8gI{@)`DYC0|m9jU3b)U)oTBguc#{wXr-uftO9+g6|Kw!vS}QbZ8%7gb?5V* z51NH&z~)=S1kq+fA}=&Fxv}a*rA2Fq@9QY3!x_*ii*Th)2Wv186hpZE82X;&;EyB z+b5E-$<{Udq4O$JIgW;71GK+I(W`5}iQSeO>OR^@{;yiOW93BZc}FV0M4Ad}tWJak zQ0MQMYBOg7CGCyj83|vmnz>$8_PuuN|xVsnD62l;Q zjrReMP}h?K=J2;N+^csB-l=^%OviUxcYps1$jUIJj3Ytfi!E3OnZV@%{a3iQu^MKZ zdO*qjkk!S-2zAFPUB6CwMhOo;d%p(2z?n<~*#2neF{d2P;d$m(>>=;qo6}!k7_ERC z;5+VyDS{?l@X-7R0NcD^;itfjZ*LX8+2m2z9euZdbq}6@ABuK^g@wO=;Vk$IQCjuL zD%@caYII`?w9gtX*@sMMPd?eqmk024D7Kaw8yIq*ch0NSiMqKN z`;wSNc?=@*jXY%RChu=<^cmS5{>!G_400M_z~70WJp*DMd&+^Hvxb;sjZQ|5FqrvE zu5;C^gfXtXw~Y-rv6|NcmxM0 zBT0rlQ(!6*EGwo^ExB!Ar@p&3W~H=+pVs~~kCKx0J_^o#KASN^WjrlXNcgfWIALaj zcVwbe)?b4ToynXr9OgBCO2;U^?w`OK6(<{UWBmRo*TYRE2pQYBa+!E2DqnAZL=Rdw z?n{3x?q*`B@SLV<8_yrVbxYJ92FUzAf?z0mpN-XdLJxTfGpc{5A%_=YZC%WCJX|>V z2h~c!pb%Y=F`*2?I<1O|cUe?Y2;dhE-{1d-sTo~2%ZMjSarS1P23*3#;pK zYYLP~c!CyZaUF*B9O7(I0wiJ(rd145)=3Hq>y3A-+l-Zw7FGNEA2TB&wRTAM=oAdN zP}c_dRjC>eK+q0TrWm~Bwxu2U4GBEVbu=c_EpbXk*50=YlU^CHNz~{I#IefvNeP;a zJ=Z>;NNiF~Y1)3}!LOQiQ~^;9@1RLCw0_~NP9ic?gQS!2Y$<;nx0&dncdZ&nOra{5 z<7K_c_S7-(WOh{29GIR3jlGr$HM+lh$`*EE57%ChtU%M<-@gDbfJ)FBizHE~4ul+a zb#>zut*1JNsnrTYk^igC7jDBPk>Dm-vVNSu1hDF7mZMn#*p3T+;=!&gOZa&9 z2WHI|uZYk`>sS}QgE1MxO9f3LFXeSa+2X}TumeTN35YPgA5uBt}rq9rt-kpxm>ll|2X8Ph@ z6hw}bE7Zgfxy0U+JOd!u^m6Vd3^Mtm;1yqDdB)%fXLtMy@T~|U=q=Ow3tu>(&NdCM z?z}xO`gYepj57NVfXG_6cpkT6sAq_xXy4E%RXxPU2yu-OWyyccV2Jye zOvxUNdVc*|r-A(1+EU@rgaYnF&or}{qLUagD8(*GO3BiiX^FzUqk#C@oN$&nLqn$}V=}2E za_~E>Qe$tjbBK68UgGnyJ4+VjzR)i4{BJcw`VBb{ErZ3I zkjZFUVp}^~<7Dr0{~l)%9?*$}V;qUmcbGKK$B>G7DADP57A9RsRRWT7O+R69ep(^+ zonP-RKv6B;(ezJJc|;19bI&SL8e>O}i|M+|Dn%a# z9w=|JW>-Om$K4<$=ewmF0YX%ja@sfYLr{f%maz0o^}y&+@m?BaZ-67@GW*(V4VHkC z#Q-&2MnUIs+@Ki&Hp;m!n+pJw?p6bpU|)>s)E{i({ko3d#B#SOlD2w|+bXSMZupH3 z$#f?biw@s)p6Rs!ldr>B-)Fti5waP7Djc5{L!eXPy`}Y~+j*Gv3R@A%)o!k}1Fj*O zxVa-o%!X!HtBEDUdG6597FutP7|?K58r|47rPxB0@KF;bj58KyXxrZ?mA9KsY3XQ>%{hWw>el08g7hWKfRGF;NS5A79bYHNd2s%tT@wg*Imk2R}$#t#`4CASCkF1pWT=b5Yd+3FTEqTfme!;y~MQQdG%e zpE{huKEpRTarWw2R*HwSvoj#&jX$|<=j}}F*n*U{wdJ-i;-4rIo$;XPu}vP~S0x7I zLN-C&#*6P?xek1lscBi3ZjpwLPV^3SS@6S3bfpLU$?_U1fsWY_b@{td>x?Rq!zAxW$#R*Wa0ai^O!gJ#OiZt0C% zH+0n^2qK%31Z{5fK;#btGwOe0(nu0<-dspO!;AO0+oSvj)!c{+EB+2KbzZ6U$UtTj zzK3=77y85CTOcH??D`KM=VRs$gEml8PQW6p!LX-QDd8R;Cs8d}A^NNkn{dg^fgRQN z?}=)p;>)zm$}~S_Py4US^w!2<9sFi;KMZ7w*KV3{G`iY_S%jBXSh>{-13`-pK*_1~ z^Z|Qy@R^0L5v1wAzZa39(BwU!eYgkDwoO&nI=2H`V_H-W4B0dOIae zxlHL#5y$VrTm%MRVXyHFinamp9+xf33&}1u3)VT3H4iQi4^w*HTlr*=|LXtidid*B z;y4gyV`)5Yu>VZrLsGo&oyaFsdy`RGo7+F3-iK2m&z^2%VEh->!Fh)jDvUwBXEhEZ z*TJZ?_eOn+!6S^L6<%~7%Wt&s$0mM?^=afGU2I+}zM@Wb4<;!aiF{PX!XRzmYJ6u- zWYNTQe`-CAa)p6&KigezRbQ-fdB#_e6cFsOTQ4pw+|nI&^+LB9KD_6T#FS!cWx!0v~2$>6!m;`&^5;7d$zJr=q{3Y&q~I*CE}n_ zg&5fN^}SxYmEi7J*58NNw~_93CvrufhS$r@@-J=(ERcx0d@}yD4e7;1_k;I^F${b0 z?PXrL+p!dN(s6-<;z-M_d9cI>-Mw)PxPNi> z4+v79Z`)B*xgDnhFQLq^k&M{Ja4MV}|Miyn4xjt=O!o8p6p6GVOsjbD&QB$+TfPX% ztzZW!x#O@DB8Cp`xMO?sS3{p4$)nwQ``1p^(4HHDs3;NW9(urOscI=)6bAhK~&NVf2Hf` zoX6+bFrw|uc!7UrA152pbW1hbii-^ItSQ5b=QLWy6FC6tjypShqoB=ryi7T`4!i8x zO99hS5Wdff&bg}xdOgs|FjA^q9~=7pb@iXUAP3_t9222{uMr8L8|Q><%N>?@oDCQn z2q>)MdJ@v-)2D*2D1#r;bPx-=JW!aR-*LFxA-*JH&K09BiQk^UpkV$jFz(oQnjyo) zVxx=?lnJHG#(YE+dqr~Kb!x8qIhAiLaK(NgV`X*rl%;EeVcqt77IJ-DaN>5UI0n%w zX8GX_UOC6y_gjQv$gc3mC4{kOU3y&=SkPtHinn6E2{d-KI42C3pEvA0&D5CvF|ugXHZMr z@3y*y34WJgd<7!hFW*NBMA+3ay}Clv%WD9&BGWEo_$&%;#DL0+*=5{TL$3+)&jjl%H6Xt%S6&2k_iN1>Si2`Jq0x ztht(h^_4Nga>E#}0ib9wJ1@qPI^dNS-sk~Q3Uw4dF6FmTx;P`V*&s=&C%An8LtWDH z8|NqUe;veAM498HmDXrX=OC>q_{7S%|7)K{+YY)w8>F}uawQZp@Xl#qyu4_~Zw^w; zRQv+&zO$NfF(k=}weRizD<6Arh8!o^;$)w$LDzJ zJb2P9JtZ}zpol+^TYqF(m^wAK^O(PDMjv7eHBwiJlcf&yI)inJHEqeK8I$4o)cEIl zSK}E$H9)lR`A5h-7kKYmj2pO3_^T_rd?+70>#~3l&;3rc5G>M|3^Y9_@{!w1e%qZX zd-(J0R1m}3sUC3d`1JBAjwA~O7-;1?7a00C-1(m{3Is@b4e(i#xFNv&(GdR{c`EW| z)&lXu#DTIyC1BA9R--~?gSbauilS!q6?+h|e-J^*aCwD2F@C>q#Jv}IJ~?Ap=qN48 zsi4MEClK|KdQO67^Ph%fXm9hYWL`JyZWDDwSowKPVWuxVwU~fA)<(TNQSd`tQ;wGqd_)l;0?J#-#P)4VOG|lZD>Zgdb>Yc~ z;Q?*vn9a z=R9yjHStO;L?MD=@X4mZ5HmwA|JaJCNb_AIOKQ;Q!GvCK4R)ydZ|eKyU%2smtdpXF zAT=iaUd=^6J-Nw@J(eqOTWzQu_JNu%KSBI!rLn|OcRB(KhCj^J^I&%+dY zgkKchJts7Y0ueuHg}$(`un$dZP0ez;bIBQ}w-?k!iYC}`r%+2FNtP?Z@<5!pjZu%L zfIqKSa;r*aFfU%*h-@x4DA}P1_(#&_fri(X0FxeovRR{jh}!Z4tjhG?yGp;e16SE& zIYBfDe2YDG?FL(H-+XaLjPB$unZ7wj1N4vj^}rnq!Ln#%`67sme4e~7FaYU84Tnb` z!5?_$K36AN@4oU91tQBuK8Y_TQjgayGCA~D(gkqWkE5uAbNUa!`mCiDL*@FUx@0Di z(e8vTbs5#6vO7irzsF&^3X15N@Nnu7=S-TeC^B~`J_2Mx77#)h(k}B2kE}m2YkWzA zw1AuU`F_|rDl*=$SaGUQ8Apk9@p)!_-kT~0TteSWFnk#|kff(Oz<8J6clIkDGr3{V z@zNX~z^}TJ)HHgR$->Y+!d{SmkBxC)x8z?k_F-n|F{0hf+J@%XRzKS$>* z7R~&er5)tam5OYZ)lNg3C!JP&+LpxquL0KzNs*?1YHKUF2EI}kuTpELRG1?!gzC&K zee(~_9nj)>=TZJSv$qJeqM*}qM{f&PBJ?2q?0p}6Ma~Cr0rPx{Z(aG{SH4GnVCY7W&&D3cLJ zU>i!Vi&`QX*^gi>ol{}*68d+@ug_5)77jk~KdBsYt{b=%-Gun2WnoVobcE-#FYe~H zsX?vbQ{|=!$GEK)T>wL8-dA)NB)Nc_HV}yM9|?y#8UpIn#6@iYD|dMqAw*d?dsig! z(;u7>(xf3ymFo49_ghhBAJUU#LRw3`sf+o60f_H4u4ajIBW4K#EOE1WxLN)-volAJ zy|tRvLpV0Tsh9-fo4h$*Pj#@+1i4vY=*ODCu@O}DP`3EM2e7nCxN;$=wn(8r{#(hc zuB`#7L8-)-cN?NWGk1LRmhl-WA$CMpMJ}i)~h_TWgNb4A}5j?b42qVKd8pWVkI{5!y|4)!P zzlQ>STum?hbU4lpIXBP2Sj8?)oP0KKsebFC>~83ue{it6IULUS1ZJR|;OybZzhx`5 zVr`i(q*P$!F`450d%!x%%sR=_(hy_P4{8jri{?}p&#%|c{*!^hONkg!R7?zg9~O4c zP2(6nqhOuyRp_CFno^%cj^Y9^tgUgkp9}Nlm$nhq;J>^g2UVc#__pXG()gYl7#IIv z1;uJFDEX^fE$xy7b(z9F@%3|j`>XMCt>KFyvb;!p2yRLoAB@PD36pVT8H>tmVXpm$ z&#MEak0>Mw8b5Tewb@UB9SAHhPTVNN2fSD&Lu?Vp*Guq}G?S^wL=L>+UvQ`{>Hd^c zrG9OCs*QqwXN7vkP)(v$iz>|}Q#5}r_HghUVgAfG>{+pxYsAXSYy4{CB9D7^%yr=u z%_rBdW`+lw$|A}bKDEblD)?0Di^;Yn%o|VqkYm~~7W4xzME=1AOZM=z@D#2;sDbb8 z#yuPc^pHjodx|kT#60CFpX&>!#K@2`vAwoQvpglm!~iD%#p_2?{bPX}Usui0xW%s} ze#~$b8SXxKETWfViEwLAbUpn}N3xIp*D#S6{~43@@#$Wj&cvRUh?VBaD3s`glhgO{ zh@(ksn!8!{KNC$}KccDIaEsVQhd8dkW?cu!GFcegs?3s z5EADxtbwwr9*wkJ)tZQHgdO*PrB36m$=o|9OJ&v7YD7`&zW6x(kt`P+osu^W`hRXfH%~oYPXayQ${PbrhTc9;c#KKi8+d zI@SY#*}zMX1eCH%oHLO`OH1h|*tQ67z8G15P{2>gHw*Uw>>mK@i>6)wU6>Zowvd96 zPQ(vmMHstymtdA{IYwt(L8!iPi&{M zj&8ZKNqb8N;itv+tL}rZ^lO|lQhIYn2ad$(L$kOY&PAHhEuf@uGYMAUYm%2B%`ZGU z&OPMb`~g2;qXr!e8`_TA&?(X;P0D7B=m0q`hWx;;l=TAXZ_6QF+EdQ}3k^K@?x#WK znV~c9X8D0puXkV@6W4xh5~?5YurTVaU7P^SE>b1MWBED-S?6A2nY%g_vces7S?AMfDI{(m|~CMI7k~oJJtRdnpjPeih`=Y z%@dk}o_J4D=_TR^EhLK`k}fM*t08&2;!3#1bFnTFIjPnwFbG5QwZryAn@t_t>|(7i zi=z<6;`7lTWjRWtGtV6Z0Dj*KmgSZk{-(0Wn7f$koj!B&C4$*m*#C3EI1{82_he<_Am2N{|rvvIyq0IY*q9QUSkP&&X{14XT9 zp#BY5um{vN2WOF_@hh2j3;zWjW@EkBq9cj$AmFopu>PvpSN^UyW^1A@V`&a=8q%t) z$hnUC?C!={1g9)!S{vR&6Sy)6uOyENaY9yIOgM9H z_WWTjx*OumJl%IK9^v!&o7mywvopl<^$B2QRy0mbLB?CI=Ju$iZ|3o0BcGY5ucONn zrI{4lvpBv^a{4Ru4yvf8)KUn2NDw0HpC0JDoklsP@NclyVpf{otgG4LN1Kqi0!iUB z!(N00Gjg*1JUS2cZ$)6Ks4$Hp>oh#_n0E6qLwc}%dcKkEQ5_hMenHFQTQQ`*PWReI)V&T_Os;q>P4b?@{OGYn~Q;v3N&|UycB?8CQ~Yt5&3a2bAAEtv%?> z)tvhluYbPgLoI~OqraHl=J<6P0E7SrCs}@3G)-87B~5x?loU7wiF9{#DK{@nxribD zqC25m8;|qYej>JWLX!J7MFBXjWy?}z?o88cNDow~n7x!o#r(#tzDoiCuh}A^$SrZz zWNJ68SpufkR4Y~Mt%N=`^^Dpf(dH=7Srk_IiH;8*$w?JBw9R^B4pHOVTLmKcyIo%? zT7VoTQy(M<5mbmap=lI8$@^UM`tMPEf4SSND!QTR%oRl6WVMBeP6t}PV2K`}GXyz? z-*jnVh=s!0c59eO&u65y;!30a!@Y6+u6#^k_W;~y4tT3@e#pMI^Bnb_-T!y+dEQG= zGy#T=@kRW;!GCu0;K_^0y6mI;Jfl zSBTcx^?)kr3eaZ#lH4mBQ#C<=!?`2(Eh5QZSB%wYf9|8~3?>zBAII-{cBodGZ^=s* zOe|fAt=Bf{#is9(2oDoK!LGbG9vC!xdi{a~>8+_(AjH)ZlWrh}Gr`Q0MAlaN3^B+9 z9O?%IwcLu*g^Opx0GNo3onx&%136LZ@5x1;-n52?&{tdpw0+&?sZmm- zN;h_OnbKPDjW+ojj$-e^_3zu%O2fCZ`Gw+A>#T*l^`7ePG@5d470SDQvmCFW2Pj05 zkl#sgW)Wl!-?KBv+|0jYi9Q3N3JTk#)n5N!Q%~}*k=>+S%zvf@wLE(aoda5<{>nMX zHK)zq%&`4oiM6g)?3CD%+|m}b*qpt}Py_T3qkge`=+w-CrIcb?DAco%03D^*T)>B0 zOV*@ywC>SA(8s6Upbp4kBH;{fMwiTuG^@p%VaJ|p6|WEN!p@EKAnRy~utX%Q^UQ6| zo!*7D&Vn8WZR|tPl^o2n!T)yo9{&9;x~&U!QvP`TpKSUoMTh~$>v4b;_1J+c#vxqf z^l@;GE8wmC3=ruJPX5D>kFy(7yy9eDdy?oD%fLn|=*QS@@oqplI3%AyQ$v*@kr=RY zTllTvJLPdZtZOsDMWl!^p})QlmsxG!tqj5Yc%l$6Tqu1KRGb(5Br#falZs{_)*!_wmL;y736WMYiJKX4m2 z@M_?cNO?t2)6>06%u}s6a`VIBgXq*wx|AH0QKdW`;}Y;kKU#Slt37mZVseRAS~E>B-BxbMyh0UH+2~} zdU`%SJ>gu_IWf2V`URM)!-V!;U$ZjTRuo@tkY~`UX~NRWH;$4Gf$Rp~*hydBTXbsT zH-`LJAE%hpV?8?bp9&YP!*AG|f__WG!o$Vkn`G!DUEp;%CT!6W(`9L-NYXd9~hFy!Rfq$kROPTsi72!$OLv3^g!wqX=j zvVo5eA-(T9v%Wai8{)9bb%u|#OT+`9mcMn~A1{Ev;Z|wsEn*KRQ+1h$X1R*&HRhtD zq%sKyWcs=(Q*BCR>N<@FP; z=llBgE6?&@uPNTJ0EcFszlA+ItusHD>EBDML}md!`t87;U&5)@lUKErx&70 zA+9MwU7Ztt*DYASqg-~YE6LTt))t{Sn7bBJG}_2{<)SbFaW5G=!b?1s5I%k5wNTw{ zHOHguJmhwY{}L0f!|GR2Q$&@NF?8NlLeyR^P8xi`;6^ybw6ai`z48P}2)qlsE8H~X z0xk1NoZ9J?Q~Cw>LZGs74L&HlMTH?Q7ALebsYjPWQev~q0A)B=tZkzNi}ks4wK1Z6 z8oFs96qPDY;VdCd%zn=;XHM=D~580HI8I zA_1?fn{j6L(t!5qAhI;Z{-cM-M|F^rl1)>!j3i_w^iCxt;$J_ZywHx4!KiH(p^n;k z9({K&GybhQdCZCl2|DGZ7rw(S8~NsR>m0|U%5BOCUR-cCc%dviXy@Nt9pRcH77uar z-h7M4yeKZJanrO#Hb}7@H3)Pf<$L)lr=y)i>( z%TgVx9YT$vAENba3*)t`Lk&^BBRn8Ix$)}I!jBg(FHg6mE$hYl#}XQJNN@#`4QYhw zj`}&>zyRn{JJy-h20{cEu8a0{13g`yBhu5njd?#iHkFyh2vACZZHtd6f_T0ADa zqjLG1H;M`0WvnqZ>mw})Rfi!oB?)arjwCTHjhStHF9bib__`QOhVI(mr)Bdyhg+TG zF0(_imjI!cJQeWuajP{ABd&&x!gGJ~Lh;q9Ka-p&38j(AZYiYs-O?f+cg{+b`0xC| zZq)S!`k03w>?6JiW499FjuR)8)AuL9{sdrk=2G6;}}ai#VxemKWTQ ztIl2>aL{yeq4Y}tZV|FHl+vUaw<27wJP~|SjV4lIRpDS!QPKJN`JhQKy~T&bJr{2u z3Dub-Vw3zm#FZv)4QVv?Sc8C&5VQ`(1I04(Ia|o7YJIQ^;X`TBY*Z(Y3~d<#6J*>b zwwTv`nr61E=jBHDXscWXqDS5Gsd+q@URoS2F*Ft~9X;Kf+o;j>7z!@SFz+zxYSaV- zox%{f<~9L>w=MQcJ}?e=c|8Hg&#=P-X%7sI?k@~>(H|2yfDdqK3q$|D0c*h}`|F$( z0t_w~M*xYhfT6;GyCS3ac+Laq97fUA#l>VUyfC+AGvM`Ny<<%CJJX5EjiDgq*ZIrg>;x`+uv?j)!jZ}6B z?x5Tj9mZnHxdMM87FmBN^0+kgbc%(j1d#jNyMQ3anz4`V@SirkL?^@e>N-;}n>iK; zJ4^xpDm-J_s0(6Sc+TE@7VL$4j;Ar-kl;n>W8opvBSkLb2_bB%OuT#yn!; zq)%ouyvJmahKW#{o(sH$n$+NMq+759(p4}Ep)W0_` z0S5Cr45Q2D0fg7u;dL1utF!j_{Wy}gI2OC^DNHmR2-{IRu3EG)H4Xh}ZDMzx0y;wA z1q2c(ltI|OqSm0Ky=tDMp}QB0a|z@6h`3S_$78VQvlKe1LkSSAofTa$13S~lP2yc=P0rB0GkOehjb3mL+Ywis8RjWwrS$+g|} zZ4k#30S)h*BFGOkJVI7|IcNV<(5qX;7Kqe*f5tOubN9y3K#a1$e z_Uoly2Y2%)A;up4uRAsYY^KZcHXA8LvUSdl7_CBoxGaQAEp82PE80uJhNgWdr#KQN zJp=eM&+47C_p5!3cV*M7n&`@<5Tmllu9EHP|`%^Ws`g;vXy~e^w$3M?h z-w7|l02LZX^?>jb%x93SPZL5S{ear_202D?+p7m0@eocd6P1lQg_nt|zTuMi;c}8{ z5=jTHWG?_v&H8@ocHir+J3In~W5YLWImiOm;}ax~^F*|yO>)b4jYzJvpGXKUMSvN* zBD3OcK$i0KT<%X@JA4pk9O_`Y|Ewlq-K+y-dwX82^>Sin)BD{iEnAy~5t{{RfDJ`= zaCvk{ZL{b>;d0(W&s;th6uOEXYe#6F{DJo=kxEGNm0ymkxiTcA75vmv;YHtVsezi% zyB2Yt|6Pc0LJv(MjNPE6``XyjGR!6~T%C_mWt?yqS1dqGU7UGusLDbjT=|8|lVr~Y z;^*-`C&|L+P+(6s8`CBbMuK5#OQ*VE4-v&DN$wSKd1=K#hM|{E`5PB4b`(?Ud+u6y z;^@Z{wK8{&YBoua(wBqNh4#wxBL7qjT@vC;9DNtW$A^cj2<|F(uHh?*o%f)`<%I(` zmO|u>yH|gVd|K(k3xhfs-24j;XRd5l09dpU8V290$9=~8_+nEJb2CgtMninXjxK7& z2bc`O#YCrsd*vUbr|Du(#!Hb$NLy&xW0!O|w8*j6#VN~v`?Q9Ifg)2G|4w9_9GjsC z5)>8`G#4VqVJlb<=uY&{Xin$|t0TPYT!^-b!N2D%k(IoIDwAa0)e=*FT6+npqler* znsXRd?=sCP$I5nj8bKL=1vRv^{cY>1b>W74F)@ z8WaRA6KP@qUx}-QFaXmMZL?zRrxIDnG|{+jcBt+(x&nr`J{=23$IGiL)TuuloX*PZ zy&5VCQK({nH#UR>1s7qRYi%@x(C%OT|4z(MEH6Zi;4|5T8vQG3`n_l)8rZLHDnQon zA#Od^DSWJu|AJA(?%9BZYLiXrcBY0LUOo>V-42wkT$_MG_tL-)plyKjz^-ryb z3Cx(JUJgCnS+lco_4@_N+Y)5ShpHV2t)lkI4`<(OaXdBE2e?8T^bWc{R$_jM&gH=# zC`7E`j0Y-5{e3c1rOiOPD5e)fa#$}c76Vf4hnts0v8H+25=OEf^YiFn(ADaT>C0lU zv@i0SGq<10jZ4~LTt|#l1!~^l(~Zm#>7#!D%+gXCkE-kfHy2mxYh+xn;$KCB6PxLk zz{52_2+F9!6LwHjPP3}swTh`slL?INGTz2CwPifg-lY=!ZFpHJqslwqWzJc&O`@i!23VPcjzpc(dCD;`wUTOsGI2(ez z_g859v57Jw`J>@baUoAZtGCmlH1yv$rQW2Sem_uXVdPNB{ih@p<&J`i$d=|=l}6m( zg!dkv^l8#+N|2L>m9%&VA@%qAUjM#**kKf7kqWL-RzW>qb?@UMWs=M^b58YPo95NE zHHm#-bU>sM|Bb@+*wa`{CSoHY9|xB0LR9~N8!z==@8BSyx9BmbPJY|@uxd* zC_16U+9NqlmkN2%?tNS8ihM8y0P`&V5!;;KdHxzk31-Ya`z0WNX-dA!(rJahJc-%t zxWiME;zJv|x~5zUPAHmv+wi^Y0_t2S@q5nZGa1w0PxAp`Xfe`=ZwQmUVIk9K6 z^X+CF`m$J__x0dp#hg67wLIu;pE>Y2Tii^1jjceSxzTQQ_$L^)r#|h&ytQsvA&tBV zIkmjvZ$~5Mg{vSGhU(_;ZD!lsPOu+F-~O$oB7qm9W&R}#ZNE~;7fs6zafVk^9Db=5 zHZ?90HV$sZ*T2t=sR_EIAU`#c_as4T#xND9eMG7ASEoPX4L698eL-ckHzK*HM9-;A z$#IotC<(MNcJVUT?mO5JAr%@U@KweXnVOk(qE1PXnhVOwA!Pp*(Zjw7!E4m=u)4^) zsT0};c9r~nNU{pYRr;A(F-!p)HNl!M%<1#PAF#*+=_l5~3ky;G4fzdQw6VGh9wLdG zFR^%>YF_aiA*vgES~`F1Cj>O`^_Sclud+~gD&}mNK?^6T;LdGcUxp^&v^XhG%i&Fk zxTqWcBvq4JL)6|mD=*nJ1H0_N4a38<$Y{_vkHWDu^Mj6s9v@l>Y)%f*nBw^807^J1`)NLFb(>}evll;Agzk*PfcDr3g81pX09Aiw+7MTNgXNJcCq&0-xw^1wmPDe}&u1LPD)< zkB)dW<0lT~#jHhBe0<=B!v`0EKhL;X;`MxgaX-iRU6i+;bKnk57v|?zwba(!rUDur{(F|Km^nP zhN?p%x0=zi+uR*d5R{de%%40XtFS^t0>MEqI&xBUJccYW4i-}s^=9G$|M58eX*{K1 zCbCZb$v#{ekxz+Yi??V5dqV7Z3imkp;*6Iv*9)Mn5EXD%9^Kw1ZT=~Aa?tsBl>|gC zDD?<>T^aq-0))SuxT_l*2hJias_UOM8VHRsGkIFyn){1?;bQANLX_YUv343e!PfG> zAbte*p?kC*_&T)w>*(l^R3;!I>YD`R07xqu_g|oBss%@-A}tQxPTUH{Zeg?tl1Wjv z9?*Y5PsNL{u_0s*Zp-Dq`n(qY7(PR>X#yG2=sokoy%H9lBXP_#5!qq&q!}h%;q4KH z6m#vph^hsJ5OYOQ$no>@^YqW`^w-0*dtAOB99X~x6Y1mG7Op!8`#qt0j_qDQEovHu zBkOX{11&E0yZczb%*_F`_1_N@#ybTF<&SA#fI`sEgcHY8l zI*lbOS{yeIe4{w>k4PL@oI>qm-(;Mg+7^w#9nx?VyS}lq!n&4Q8g3FeLBxe_P@*V&~|X7;QB}aFM-&J1|H! z2js=b61J~j02Ev877kWi|1u67j*uXX)4+s4k%b*&F?%Q?1fa@exf_(zA>%nr(qdc> z$R%=GR<9r?6V4acgiNMVu8O*_vU!?5&#P8b7*J)7LzDfm^p{PzVJEz%I1rx=+de6tZY(HTM{npiE;3s+t^+pASN z?xYAB=m8d%I-;nCc3Cs*It!>kc@W=vdV#GUVnV|E*LQPynZL(wTPPrmXH>De<)WX$ zejWuK;CX=mQ>}gn^v9Q?R-b#i3{s+Hpl!bfW&zSLd~OGk4lD@}W6TZ^P4xn8sGfF> z2T7T>`K@4^8q}KuP#c)e} zp)Q=yNQm4?c=p^qe8XVbeErEw=X}WQIkie%mnJ-rI!armv9+0Q0VELmQM(mYn=$R0 z2%||NXj!DVSGiK6FKyeEU>ry{>MU!4%A7KDHrLeI{F6lUzqK-OtFsw?xg4&jKY@e! zkNdn-A{O~8uofsTWDCVSu8@jEm-cRMRmx$dr_V6KvuoDs6%gCg5AEqQ{Qxj1k&N4C zz4#wal0Afj^;7vDt)7%{s!OP8;*Zl)KUmLDrU;LaC%j?`^Buw`NsXb{RCd9M?TF8; zS7h)K+G%{O^;YGce1c!|R@=!|ldlcQN6Zz$g7N0Ws*Sy?>*Mclh)S;%nLU-GTcR5iORA06s3S7wZjQtS8hNXPTezY(8QR_i z&XzL$p`aq33eZ(NUg%rRr%AG`-|ldZcr4N;AtsRq`v|4|wVlL4Aiv`U&`$6#Xbuob z13xe%#R>1-2IRU56v~$0B*YQ+?UJ-zS#aDs)`7+jQ2We{EE+LE>3dRsPFm5dt7%mO zzZUko+WIQ|@;x!LnDh3R&HO0qEj06a!HN;z#+d_0s4Q63Qu0XS8YqM8>3s1%I1lxy z%oTY;v|ShRh@#HgF`X^;RQyGT9-85xjxN8w5}oP1KpVEY0Sz(RwQ&Ve8Qx3yxDwn+ zJAL5=rtN8tvBougQJLzCNFXD%bU$Ke!YJ2AY4HmQ{enRwyI)XPXof}QtQHJljp!qn z6z;z8$&`i83NOhgFIZ#lrf;tScN%r)s!!+|l?t*pu8zumU$KKm-jLK+FPjf;j&lVR z_=#X2`U`*hzfTX24oC9{2&jEy6oPr2Mi!B{+YnbD&N@~PX(qwnGW!9pEbpmj zXF-~FwK?Wn4TX>yZpszMO!Fb+QWsdzpGesyG4xips%JMo;8<^9S7r2|3^y#=d@EBO zL)l|!GX;r=%X2Uww{235Gzl^2P0}u*8$8hwZ@)&m1XRt$7>n+`38KF5?idxS(p8=cHVeSv|>rJSKWHOTd zhlstiGi%sU7`lg0I?$Plp6<%=*E)~9wL*W?wj|8EFoPNzh+S;AiIRCz78|t6hjvv; z*VGer358=6*v@|xqOD(vD9K0m=_0!_51^z?m+B;_fl#ur828xhGAx;ce><`K^3_cC zpCI8YMBBK2(c>`a$2e+E{#7`7F-k46>dxQ`Z=>$+kh4;vx#gS9Jov8?xO_=nDZ6-H z-UE~|0h&eY9cZgyR}j0>Qbzh_>R1&DlX)XRq7+Kyhbzyh_sCn9|IWGemKUlK^4Py5 z(v|t$fq?*YLB)?5%w`4tWZ)&_bvYj`+etb|=mdT_6`HvKHJr69oqtLI#2*upPIMe*_Ry+)ut*cBrIqQJN7;mwz&mj7lr&rSd3!T9?*IcDBN1FvnU zJxfNDx0pMHZ2f)qIZN=Pgle;iSVF&Y=up)ezR#Ds&n)IHy-*8;j*(tJ;A044!BAIG zgq}#g8Ki$?a@_$2v%fxkPWa95b5`GIH{=0j;l` znWraqA8CxSa45KP3SMQeNCS>&bS>7y#w8$kiR}N+B@NZYajg}MUdB8EQS--dmB{D` zM9XpDO!vYN^BfNC0-njQfI1$Hg*)sDKt+jUUYt70x1mYpM~&O7+X?Q{nJSIV+&cxf zv{d!lXpEg^0srgK;?q?a$t6FfN>?Um%?C=|t!Qfym+J!^9Ey@%+3YW^APg&ySO*+p zjIq)VSQfx3@XMrZ{zdqFS?}UZU$u$d7^**<(QiP2p6`uBCe|93-uOja!g@20kb&5! zPqZM%Bxv=)idd&+$>f&^4(@`;Hlzpb@x)fdJa0>Px1k0(;kBWwzs-Yd) zl@Dvji-V?2ceMd*oAvJ?%m?g`eR)zXAYFtsC6eYG$=v3`IqXwUiFZ=Sb_FiWJAr}& z^DnMn@$h<)K#~;w>bnkxv(2$P@xFeAZd;l_^flz$n&G%|uWZ2z9*n)%?aXT`<=N*L(IBra#sGWhMVX36r6&kvO0 zlhQFf=&upePZ@8YA5X$B7Re>y5Zn?FwfgNQd_g_`LnDrVh$?@V8VkBsG>Y^HrM#Ch z#)K`Cq!^{K3;4%72EP6S9Hky8q8^U2eeaHDH#Rna4T~sw1KPM@Q>83w3#vJ5Mel+3 zWT2)2FDLyTIS2n+`&GeQdPI$NRxs_0z#Mi{Sl$7ADvU+L`MQ(RStE{p^d~k6^PobU zThf)Ug9v69KZmuX{oFuj=CfUZ3eXMMjmJkX1M9=f>gJn4DfqYRb37RUk2H1<&61vV zEK6%Vgnyu`tbwC%&PK8v^*-<4(AAYQ_~E`k-IY)ts-!Mtjp2oZ2z__MK~bqdp3Asp zR^sL=7Cnv!AB}7lM%h1`%ne0dX4h_wJ&Yms)5qzG-qkH*>Q<3m(yebaSvMX}Q-b7c zg03MuH7vOCjd%f96r_+%f+{oiQuZHa(*#M?ztxz}zJ!?am96k+=!^ly#ipt zzVMBPwF6cWfG@v6cfdOUe1-zLlUbYQm+|hm@yo!^*R?>W7^t;&_fuC!=>-`QPdG|P zhdULMbMZ&$P)ehgG)P$lvYRDqLDe9;hpTPz^1s5s&UQ8ZUY1|w&2{CO_v5;!I4o>V zMV1TaRF$c`COT3@k`bF4+I0eoi+=gb)9w{UMXz(Vvh#@q6@*{ikKC!Y?)#Px4Q0&k zkNdh&=FBNOW zb;>4a5XG2i?262>skQVg1~nSMt^ai@2^E}BYTg!W!L;zWge|BF8lpGXc*|oZq3~qw zxKOkLK5QnZ%7d4`>bMY7GFWcC9WL^>mhiHy4(l1`gs3}dwrl@(QtwRMaB2!{&7Nt# z;vf>}kd9vXrzqgqU^6MUP|@#(L2DwCTWi=|+j;>M@H_e(ET5Shl3fnqm;&>kEcwj9 zF)6S#u{FL87g0f;uKIxBTm@XEobOX@*Isdw0{r~=$dSM*hXpUw1yTsSju}jJY`JWH zR0y{d8imac1kDt{tB`tx$dhL}_fG&?p*!racIxrY)%eqPV!P30n0XWJE{D|;Xt5Ur z)Z=Ip-!J#crece+E4fTpz?NiQb#jjsyh#(pw4<62?o0rdxyOnFh`QMy2<`=}VW+|i zucq1nE(h-xYBUZ>eWO*sOX}AhOQUhf1!eBR9@!amwE>+F+GC*z~$l8 zo|+5}NV_#z6%mXc9Oc5Gdo;gjvCc>U#3ElIN*tE1-ZeuYA|w*{*vcF`RlmhRm2F zMJHQ9>&3>R96BfUEikL?^ZxNC*LEcY3{ifb$nB9I=0ClASqWdUCBw|z23G9WrT%`o z`7u5~AloVH>Q}BdMxnsfViiM-C443qyeKnb!8`j^JsY&}N7C&^?}H&R}Yc;+=~2XJ-1j~B+p?!LPr!MV(A7jKKG zo|>+V)#)*7C?yoQch^GS+~0)SGT5Ga5qNkzBS>6OXd;!=^uy+FL<@^?Ft;JCi{TRv zA#EzaDXdv6XUv*(7`3idLXk_PVZoeR0T6V7R5p(<$D!jr6ANqA^X~~TEuEj+J76*q zxhDa{19TvOoe>c9d^9hgem5U}0rTv6T;`1o>qT!oYBY&ajVb&O5-8l9sZRGTq=`9p zi+M{uV${b|>IY)~bRE0yUry`jMT48009@Zihw=#iO)x^H02yN1ck?)Js0S}FK^nmQ)e#10q=1TO+G}rVa_O&WL9*JUdpUyNrzu8_U_0e6U68Y*J z$T^$fK7rYB(NPIeRx`8J@Iajo?KQHrJmlYeo&sts@#k(JPj8$8xb-bPjh^~^ovXQ% z)q}P-=Hhx`+y+mzjc^Q5C+9B%^WpiYp@f^jD^{K?Lk?OOn0!Uhigx>=9mpV5u;y2^^jiOd~~ksS}A z1vC=Z+OD-Z4AQI4jN}y=>DMi@bF~aDAF2kevV|M+QJ*y7NVIdZUCJb4H!lywNH zqW>JmiU>@KlqiGPlE5+q2(F{D?Myh6ty})}d|Mk}GVl*68&R-me9WV>v#HdF-8=$c{8-`Aj{h^bNnN5DzrJ5`IeGv;v z&FC7CrZ)8CS^PZB_8$S23@{)o+pAH#D@_#H6=_n^Ejvq)`w4`H6T2&FE-%3f^td+fSD@gnDu&6}# zr}Ep3xMh+|IrROU{&(5e1!R0o>|}nM{&cHpuoztVJed*18g8qU9FCvD{I!QzQ)nOn z3-^XP%f6juwlp<`=#-9{^*UPKv}v|%^ltjFOEXVmM2P?XZ+$&So@)NMY56oKJA1-n zz5x;VUbNG;F+zumDr0iYbpOW)ItUN}YNGb$a4Q?QxLaVTTW@tP0^X6E+b5LlrI&)1 z97lR9f(rUB{*(_mi?s3?6mJl}ZNWHonb7P{!^K?AfUWfhrNP{rTR>o+s|I7S)}Aic z0Uv4fuwn;LQxV?%)hF+uIKL|*&T@Q$i~v1*{8XEE9T<1aAFZQuO0d|D>?F=L6sXO; z=6*#jS0}a!xm7EC;qZVjS$G(+@|mfX-z|%Na>D>`OIw?_pC2N1dJ|C&?x2S4YQIy9 z_;_sG)ZcXG&a1vq7?gyBgjO?yi$4oD|5~xkzE=2P|9dN>9I+j&^MSsH4FUs!WF$n@AR2^* z!d4dvXbuS+@W#8H8yei?U7>5`4^)0OE1@>E9ML?k*YkXp6W#F^Zj-$^C3YtU zd-DaA-Sze&WPMi@;?>p+WI+3K8-%pu0q%VS^g|FZ)-n$6UqY>QqYO{&wpE0Yu8P{7 z4oH1#)9{z*u?K&(hK1eGt4+R5n73*JF{CI4zmwvQb%++WHM?IH0ogI|bhpH$mjCVU znzoMjcm3l9q{Y1%8RcM4!V(Au3fKz70VRV_;p%RnzrH*KD!Kz}Iki3)99#%O%XSV~ zl%e@+fmpns`-UHsy2p>N0E04wBm8zHPQ0I~Aul*|IBgpEv>(iipy1$^=GIQfrSvlR zqf(Umv!<4wsU(JwFEJSea|ctGicf5`z+gaqKC8nzf(Boe27 z`dk0O?7sJlnxoWEa3^9Sk=OOz-NJd(Xhrc-5;J^P&?&Ep4?Fd|aOy|*J~nMp8Xp&% z@4)60emb3@5do`%9w&Ab$YW}X8 zDi{`K@#yDzb6QGY^5Raz{N7mb?_hFiDP23N*C+`o)8-}75~GgqA6B6HP{>C(4IJ@% zQ4zUh^H{anPb)3(TN#MQ3HEa8A4mV1z70=STBRY{9SkVtdFD|Itr;347b0&iF*_g?esY9M_qO7sfxo#WPqde85zVFpEpX6 z!M%^5)7w=NEg6SA8d?rAByMS(=`Xn*{@w{e-=4PEhF9En#`}UXws(Vtk}cYCoC~Kf z^V!PMRAgDxhuK&yC{JY@Uejh16%JFVbhoy=m*y%+kWB6b zK8mHjZoC3TYzo8((QE-y?7HqSr!rNUyUXaGoMr$6@v%`)>;RK_D{#Ir2cMFLVj?`< z6mg%9PMa&KZ0=b5(&R2uRo2G)EFzD-E1DzD$KRQ+;B2r^pk>C_7p%`C1S>5TTghCo zo+tJeX2blk%t$(WDeX9-U4u5nU4RE^5gDPHU5kjJUd@bvA?qV&1Za(7bbOI?_TZu$ zUvz1+YvK3xeXUxoq!DU_9cIjSEuisB(h@;sX=T@7O$my9B5X^~b_L{w_vomh2@*$) zVko^qM7^v&UAe2*k>$Ql&ioOm0Aal)R~BUQc|`n9J^=#%5J@+}eL=70J#OEgvFx1X zArk2Tv=O9`R&i>(J7&Y;UH-d6NZ8E>Hk;3@wsmcED=d4Pl3lSX2n%no-Jh?15m1=T zQS+y849g!RcR8B)+q)pQ_cm|XZaIcO?^4bG41hsgU zGVXiF_Ce7P;xqbYu)phU*7f4H%TcspN58>t_&se$l7iK6Ihs2-HKmOG|W z3wfegF1I+$<`BrxXy8lzSn5H$rhI5*?PAYUjh(*9urKclE=?WV(ZrbU8C1>VTvd(@ z#P(z}X$y%ShEt#SZbaSFA9)wwL{UU3l2Aj&aTlAISr1QcrKUBx*+LDOB?yh?=C4`7 zgg>ZedLc;h6;V{1)9CRN8&w$seL=(;Xgu!H{A!#66@J;Vp5R)$&cv6q)aCoAQFYVx zxIr#UJ78rXuDA70U)RY-l$e;15YfL4=)e*$y7GV>>EUr)rTIW+<8auMRpp`j_u4V= zWOh@(1mKwJiI^`kSuJQiUEzYM$A3o|!39r(jE3vS1=bh?wkv&1{=V;^L*SruA+-96 zDvDTsaSia!4@u$6GHnbd4enbQtPfz?v2>j_ZLchgd(yMaov%`3j_Qj-I`&Opo_>bw zp8F@Jn(;GcWT}(Y-rCXq$?r;i)5I0MS+b^=6877pu21&35Bn+tqU|$CL>HtYY7Vk+ za&^Uk6U|RE&W68yACd}e(@WjA^aEl#fRuRxmK~pzbF~l`3M-whtPl*VgDI^zP$GtA>AUAl)!`{YXE4BUC1@lD>01z?cdOYCmtOD zqi1Sr`b+EV{QOuQWHUd$Ne$769V%f#0>=@?A~&kSaot+OeJe#f%eEe{=5aq$yW-tV z)Q?>$r1%!bFZ;FWKm>EXq{~H}s%YJT-8Gz6kE(RTeexPNq>ybGZ)OtG^A#{d_jhvo zPq(rmhSOP>qSW$3FCLudT=!+jul&6l-wwj8EGhwM;Hje9eU)C5kbkpmaDx5Y_*?>* ze`bCjZ81k3u3y)pY(FwZtRrkEt+lj8JB*G@A7s5xWeRj&O<@Ooic;7s-D6!4#Ld7h zL=TtK;vQT*EH@=5PKjKGniALy=6x=BP?}o^2nnGfAQGQs1KR6R8}qEsN%PN%QytGa zKy&~}*;+Lkz9lnzLy#8s43b%GEz5r@)!-g0!y0q_1Qc*I zCSsV|PO-?JI-2V!3>fGU$(%oB05|`IL|EX4k zzP#yj<9!eK%icdC9s~GtyiqRN!u-n~Kd`%>Bw@FYj*gf=c9{8crXK%13R0giEpi$E zSnCe#W*7&EL9~T(nwb9ne$>9DC9D&~Sx&mJpi@&s_(S7gT7bmE=hC}m=G>!Kh6GU= z7s++|ml7tFOH4sB$;S^xBh{lp7m`@ZlW*|awKeD{y&}1 zeftVmhhJK8Qshl0WPi-_jD3-~Fr9rdPk7QSX2hlM&coDNE3x9cZdjMq`KT$B2Y94x z&81)#@IPXD3sEB4BW<(Ev_cMY+q#3T7S22T{78Q0+2Z#0 zwjEa}AGB@F>Ht7?Hdf6<(0I(*BW_lz$3;wFed}WepMr&gXuyPhF7ypr6VXn$l57jq ziVVG9up2O!|J)hKmu@3t`buxXsbPwK7R(V)lBxSvF}qXH-Us;fF=RPbbT6mvv#S{$ z#VHWlZv7OyF{0_wsouNaOs<)z#SH} z&?%{m7%4tfd!;_A@oJZlYk|9~ldnHCoi7dIHhgObcF6GJo#3zRs}}p}oKEJAZ%)Jy z(^qZ%kGlZDlP>^Z8o%A{5`W^H-V_nP11IA@o7^f2N4Ss0u7MApmCS?Zap?KNi^HV) zt#B`mqqO|-?MSuQy}_Yq8YcU8N;nmKE7Wn!9T(LhoB`5Vnl?HOh5_r|McemDU;8PU zkzKc19ad2odK3T&)CbRjSIwU?IO^+f&kSm00f=x#GoifQiA1R)g|fzu4&8Lh5k=TP z>laP`2$OJ)VgdpIEB^d4Lx%JX{*91kok6m+tDQvoZh(3_p+co$^nis3SL5&6q2PGsG=mKPXs}oN9Ni)E{2p_48exP ztZ`OtjT47zh_=81rW)8Kz7{A4Hb6qwaerav!*K zjj?PqEO+wT>*QeovVAW+>nXQZHc4yfYYJC7E1mp17k?9K-_TIRuVPut4rG+2FJ}mT?&rwbPHS&f@k+Wagw6}cs{IiwC z?}tBAJ=(oo=JkjzsA&?$kS&3mW9>@|0fc->Hhr9Mvjvt_%Ri(0g>~4R;droz8ej~z zYEaLcLo^G&roLsoTIQ3CpgpLZDjkV5pW^?tTZAl8&pzvlgo>5J>H?e2Fs1a)`jnEZ ztVRKpVQ;&EZ;4&QwKQXFS4%lkLQJxlen7z+^E(9@Go4C)?j(;y7i4*Wx(Z`~$R#RF zB!O2ghcl;ua#?ulBLyV3d+LnG^7;jv=75jeyv&FXhP){olm)*qU&6=v(<>veN%yKf>UM7k$ z%%KNgnhQ|P5!KPslgY#T3ltNO=Mjzl!vcHr^(`OFX6Q-r%dqy0fn#*>pR^um>;sZI z5AB;*C1?AZss5gxp96MV^Un-^Gj4!R1+c9$T4`V3aN`?141E3(7~R7e7aw2R2325l zzj1kf9zSe4#01M)E5HS#pEcI7z~aqR8rn;B>d^sQ9GzQI^g!c>C%h2-CzGKy3+(83 z5qVK;4C=x&KruvAUJ!p4uK&kX0os~*`TpwOnb!t};a%41zXh8zMmc4 zuO0v6=q#h6;MOQSbax6$eInf*(x8N-lz@bQNY~IQNFxYHcS}omcXxLU9nyUd*T1gi z66VY~Z|wbSR`VPo4NLxzHy{?tnVF z(n$H^aGvY7x!W-wpC>ojm??LV)5MekVwc@FnBMPd!!iS&vh@?W(n7VdWCv@JG&O3_ z0RI_FGh5xyJmf@Wr-9#P#zF=|x)T)d6O{YCnU+VMh_Lx~^QZkNnVe4KbUq+E*+~`x z0m)?Hj@{GZ4b+J5FUr;@B)|3s-*D+bg5)AHvh66a~{iEX)%=(#IsbXcxyeT%S(Y#30JrIib$xr@<~_z3K&D6iHgu^>zXi9-zh zA|e_w(lZPs0&rTLuE)FDDjyN}UL395Z#F%F1ceD2S^SU>NIb;Qr(aJ`MNeSp>CAt# z7p_JUA?hx>vzOz%75A~mXz;0*sEm=;@O}bqC5^K*a>wK2$sbept-K5NJr2J6rZ|j} zNYZyX^aBU3KWQy2jET8FPTlmk%|Jy`=&iULXkHprk04tlxJjG`@SzAx-=$4--~IV9 z0!2tK3sDi*tBltz)<}Q3s)u{U)hX5sbpOC(R`qFJX4cbGwxtoeKi$?QUbE1aIy<{l ztYHNcJ|T$|!3hh!Lx2nG**G;|2eR}?kvgtc7d#}yzh4m0)()v@UMRhZZZq&19bPpk z`wygo^d^}`^p8J6sZe9^qm-VY!%K~>XVFR`94j#wmS*xaf{*MHk18ih!G%DaKu@2pA^*eqMgs1dj1C!uUQ%hD>bAHb$M z4LI48lkcZ(9yFX9$!x}`>`3q|%q@#iuNH&#C>4glZ7s&*k-1e-#Z$RuuOp~_ouEaJ zn9cxZ!Y^%k3MJEPXcRVvKin4TZAFbusbe6>mNyEr{iBf<)ps}?T;8sz(=htWDX7H- ztuJIHPT)E_yu9Sa@9<+_%Ph2J>V8lV9ZW4fsI~nLT(^rsH^mXv?b~|{Z}GkbdPW_} zTWr7oHdP%(s$r^;bfsWfNgc1QLg*|09>8lJTb_=epxBND*=nTfdFaM`b%`xNmHs^8 z6@-b6ov6|_`S~F%PPqr8smWk`#xA1|0lJDftfupEc@u5UIQCj^$nbZ=xrv)KdCpLe zh(OW13Q@IJqEAB<#$6|KPAz20N7IgM4GFI4m~<(_GIBEt>btGKjS`#s(;CedB|a7= zrPM8ZmH5*c(vf59#To@jAuDGNdhZv|QrhfsrxiXG45uotl1O8vp-c8}Q zn_nad2a+oxg0XMOoaeUC#fz^v>bJ|w6!-~kQGwITZ{#)@x0#^BRi9Y$9YFg`g^cUF zzWqv8DU!#u>QlH(7TD)ln&HxwzaEm#c&X*WnZQhpVTLC*Z}*h$jNR%ddfkSjAgHi3 zjZW?V@bK`A0xMyx;62_2zD_Vh$v5AFhxeLmy;)n^d|Rtjd&Vrr*?C}i(5>z#j3tUj zO_lMMsPJ1{InEF*Q5_Yrh?Z>$8PD6Wa0H@PB?Tueyl9BS<;>o<6KVDN#-0GoGf)nm z-O-vl-BAR;orE3kAQ}G=1}ol+N%8s2!YEdI`R#I{6hXhBHsrM<2?pJK^Axr3c|3vf zq}e5fpAejyS!t!=o0ApuY#khjp$$ugnx)?}m2pz6*-0GWSG&=8Z=n@r5|B7ae+SSQ z34?7A=+-N^W)Gn*RC*t_D1cBNr~$$FC*%)5;xmckS4Pna~KcK>#~Jp0E-e1Ht>#1ll5g$qxEuQu)EF9 zF1=_B$933lUi3~*n3R912q2Sa6!IhumFU*l+u9lomk;9*I+SmafA2awrEt;Jr>7bnF$E>g7 z`%8Yvv90i%m>;b4K1*8hI2+=d_&3z*_)VW}@>L6AR!(bzR3DD$J??UX+m8a*Z6Z&4 znSsk5T&{@{YOlG+Gdkwewl=t+IbiceVA7dc%I{75{8CzF^?+U?=8NjwH+ChqJ%qup zW9x~Lw9>bn;WU|u3uuO;*8g=aZ(Mdd=Cab{Y47~@U(`VUo)GnZ{zH8Gn3*xB0-dfN zX++O;$dwCpLF*Te8%4p*Se4e9w%M#dYd^1ueR#K^1YHm5lWkgd!_q1(D@T)86Jq(K z8=1_npFc)|Mh#qk91O;njNf6jj3=t-81f5gF2zEha+x*X{|jS0^d3@7wmL(Rfx%F08?@jJi;c*FdgFi%M;Lg&Zout zA2?2Vu6KRbk3*|!0+WjF>%gyN*aD&)N4LqN=2faTP^5K19&uR|e0*9>!Ozke+u?=c z?WSp@^^o4r@Ax9;m49PhtMYkporNcczY)1p?ye-7m#d!^?|iIR%kl{xLJ!fOk+~&X zlQ+C(k6?eJ(sThX@8leSPUYTTEz5wV4w;&~2+2gM=q+cisjdcJth$a3YK8$^U7zo5 zz!2_w?5W}c15&sDj^CyrhGYUY4*LOcRC2nh5CS27Yw0!d-BejinHpFQDPP|dm~Ne) zJAVC|w{pCH(^mau5}O1IdV-ns-cpE^LEPkr1$q!`p>Dv(N%oi6c5|PcJ&QmK<8==D zCJ=AuXJ>xqN|nwvSh?ElVHM(}z;Z+C+>SPGnUAtEuBju<&^2r;I3xM<02hc_MW_i8 zb_nB5L_C_XJ645Yi)P%33U8kIA)y)@5L5P6mgu&N?4oaxP}m|HPy&Mm4K+2JM*<29)u^TDjti1NyJ zb0loNL0VI3!AMrSzB4NMDCH~j!hu`@)Br)!+nJDQ_AgM}%}WDs@3g`q#E7##6?*DH zGA$t(2wb4flNZk(vrI`)c^5^QaBm4Mp4oLMLZdp%EFWnG#ng5ojo z>4Z}2Y~@zRd*J%@PQv``?Cj#AaS6`%)H%~ukIdI>wwNESuATyxRAOUzR#(cIpFbMK z?7( zzpV9Ga{c<9YOyhWsqE#yCLP9(?Tx_lZ_W_(|8$dFa!ncq;EFMxAkY5@%Knt1cy)e` z*v$*h<+_coAu$GjK&-S%QGdBQp$I?hX&XND9qK~KlsV974VqSrnIUeyjklS-jecz# z>SqMr&*i3v&;^ahl3PYzW;RrdQz;ZCk7Il`3vA zHvK&zXvfwswJV4y9AngDvIAq72ti{~p_v=CeBg9uUmP@Ro!BggzT^eshZOX+hUlS#e*GN>7`10}H+EiH@4mcHvv zZWBxUDogawRX{syMuT#shqvNdQVWO1?q*AWz2<>jeOAG$&T=o0Y!y;GG8}hH4*PVB zKE7S~=-6^f=$~v{(jYBByEHQQw#ZV+t#kB@#x7?ls;e^9VTAcEVLBFjML}L~%gwlQ zP*VXh4f$FQ34;56H4eCe$&pFnU5|mI@l!D|0mm@xEE8l+ztEm-85^TnA02kZ4e(MMa{`Ubx*eEMg0KeA=r54% z`hqHR^=_XwUjr3xu9IENTEnEyXUCUd?Nd7O(++Z)-i1qixC`s$N3mI~FA^u*#|M$o za6x6d4^X-a8@J<(KM&J2%|x&1;RY2uKzGn;_J5MOgvMvQfk(KLi zJ|HJSAPF}Dz5>EbX0;GX(v7v-`1E&Ul+)au18};`n8gdG7D?CJG&g&zXi;MIr>S$7(rvaTT8fCy&o_slz>cS-` z(d&@T@vk{F)=Ba%(z7+-8oXr z?FFbmjjMCu-`<0+L=sx;aI|+5QI451`~^nN*)Xq(WKhJZ8vv}3<4kSk%n7wvWF@CA z&*>(t#GxdgUEp*QGxbo{fa!}H@!#@)gEAo;jaN^HEf0LnH+SAo$NNgR5HqK^9$DXd zDd+1t%k?<)06oRN%90-fliN);#;3vlb?M2i%zhSBp-uaO35tKP*{w*#7`kvZiq%A& zd0coGJOzJ9KeaH)1`@>1IMhpyW2%L_r^a$B~3P%{9xoGi7GlG8U+{=`VM?p%9;zW z1%~of&wU?GVvmaL8YLWV2lr3FqJ_i9y8@z5!+WekJj1L5To4&=nEUvK5=4IofAg`f z(TQ^$bj&T<7DJ;}7UoTBC2G!aM{d3a86(4$?ahGWoKtiEt!leWY*O=%_<=|7zZ^ul zz}h1zD)UGma^wS!0F^7FN*|k<77vTrO#_cKe$*6kc+C1V>(%qNo>9I^489^dI&)zP z$%Xd*w&srfC3l$N{AIsDOX~ z&>n`%6l?5*OBO5-$~M+_LT+b2Jhym6vX3)QxB4pA#}7>{njf27Cdg8Wlo5?;6-=(M z-X&4&QSFhw6%WAw=89B>Vc$--lYm8&nJlz0ubYofD&9Ca)WV#_ADd6KATy(vG%(Dl zGb0i|_M7A1?*wlynpa-)8sKZ{P|y0>V;5fRl{})}4_|OAgSIID1KJ{*)?Js;Zj(*T zKymRde##DnHUa00y(tiy zmPrrd8ngP0zw0ROqycFN-fO~soY{M-KZxxtes+M@0@Oicw~beW#RL*!tXh$g5u%T^ z%mcfQa%*tLQ?=!FiR3;9N0zIbjaP?Gch7n+CGT6c9qcrpL&=rMu!OlKERR%S2)cRo zuUG}Vm8+H~&xdOI5Rgy?pg4fEksr)n$0uFIK-obxP3>lqy{uA?7;$pqNjWdD%jpH!b(SoQI8Z{wBEOTXAK0?7A zQIqR~oz+cHC{89KVOYJPHt~!p9^Dc~{L8j~$kN(+oa6_& zyC^yV(2fGkMuM-MgEhWI7MI$egmkKk$kDOCMz>L` zEfSnmjklTJ%5zspVtp+bO8qC7E~9^ZXI4`EgqM`X;7a^W9z_#yq|(r|2LfO5IX*z7TlT5r&{d9nVs%% zas!2t;*d$rmH4IKg6~WP^v?3^UoTn5iR;-#`zRRWLe7U-r0%eS;2a$}TxRETiw{$HJZ)3+MDh(OWOR3K5(QkD2>YIHAYNZfh-Zlv0tok3#? zrc-16hoXx%?^DLi{=*pM!>_`)?X*wtam-&`GShChn^ytdwkIsbx$z1pyd+czf!<1r zUe`>Y$3}TXnodrtLUxCBkSsZSd@@S$#PC4$sg}J3D&jgw)M}$H+G`zQ>ZRGz5mhZsW$MkLXgjLa9 zXXU_fc4yz{7s-DYw@FC4uiXnS_?`lA2r^9)tAFx^ zu^CsRr2ggV8{s*ZgGKHm+1jrl{l^V^`7+IC$3XN?vVQ>!5RFy>WKN@j$a2tlsn}H= zJRM?ONs#_GqyE2VyKX#B-|ipDx2f;guGk+vcXQ&B9l(1vp(HB(7L{thY398hbHu1% z(`Tg)*{@(!TXwWJ1qoZ>#;J6`wyOamQT7F(cp(a$?S?=yeUK#;oKm+#CYx&_i zFm=lb`%|suZG}9QH*M8b${FH~K>GSi>V#jeOZPhjMNOhtve}6i-KH`j)a#k5QB`*T zu$C=8|2StxR0%WXFn`|(S-L3+(NudK@Pa)S`i*V~Gr1uJlME*B^v1JP(s~E^-7Eax zr$_;LijemiOV&`qrRV2M5mb7phWv}4SxK_S@>h-nSDl=%h(mA8t3I)kP}jD*yPSg} zEz@iSb_V{7C!c}&!|kn$_#aFkwHg2cM3p|FH0UH{>Au$wVhHY-+jRs2J~amiIzw+& zTb{h$slw=#MHbRGxh3r1UwQrw{YThtUza=r0}C4=VPV9H6R^i=KJ6xFU2Y|nMq0Fb z5&n}V;WJ+L4%!FNb&lE|K|Z>f!@m0l^C@ zq>7v&_s2rS@h;MzVqxGm^mtvuHwOl<&oAf>4>w6wL}E<&US5WfcHr5w_JELm+&a%Y zccI~C<{*qG`B&v`o55<+%Fn)(Jf^7#GA`CsrhH&D_ZF zz~2@})Q54polgJy#!}jel-DqP(`iYrrcRvkH!xsgH1+JG`B20FN|K1NUCb}a@whpa zGdiwttd>M4Pyw5yiQxS9s9ya;05RnvZ%&`stk_`jafx)?7$+so%4yob{Jpa3TP_R~?L8MP9!J{AQG zzm~CGPM$N&Qad)f5AhuA+gF-Bg*xwu$KMaXMt~b5Ccb$gff^KLI6tlseNEzCuDDUc zh4YY8!e7qQfk2_MESc#Z;1#pyy}kqT6$6W4V1f13)!12LWfDPs|0BlkM}PK8mIj)k zef64fJM_fT>#3jcKd-yXCB6|Q^~!uur^%Ko$q4+T0cIq3`P~x-aDpSzec6Ko3#1e? zm~@`g$>laJ4^EK>t3`-heqwiSdT3dAgIq<#8R3dOg-idPe86)M6_7>WPnHC-^%S66 z?8IOUf#*v@jfSLbfwb=qT=*l=v2Y>hBVd6Ly@?j}MIhCg)VXuy1&*Ab>}UK1b9EoC ze*cNIa#gYH_%HU$xk_Kb6=wVb@J6*b4mSb7XEN4BTPwE5X%~sJlas%r zK#d57$tfdEqO^Xz{ZmoV?65(aAXMFT=n=>4*zcXf+3cZsE{7R_x{T^?hLHI^Oa9?rQ=3J z(N2cX2QAU}&Qc`J#u~f79J9^J^1R`hSYalTc6_W4WqtYTRf&cP>e{m_Y4`k`Q2yuU zn_^U4I^7F=$a}0$OpgVekSN@Uo(w zBi|Lpx_C%2dHHJIMB4!@jorqNE+Y}L@Yn%0e*!o^FE_W_ov|!1$6C29USS-tXD1bN zhQC0V1Z{zw3FMRJof$7I8O&bZzI}^DEmq$ejPypjRoM|g!&gjk2cdw|XJ8k(k=`=} z5g!Sc;CWL=>3wh4i#Eq9@MVtg=nw3A261@Pyvhx5LIKp%jQd%A^vBbfLjgY1XQK&u z8n9hjU$tNC&-}scQ0h!opxi0oJx4b=U%^t*Dcb3K7hW6s;`1p!Iz<_k$vKTdj8Ugi zz1s!wn*I2McN({p;TO+JlRKY3z()pjP#4XwehRT^dmxEo zHmTE9d_zE*wZE9yrE1&@U;EHHgzVVIke!8)pZkJH1fU> z+lweC165Kbrf{Te{P%9B?@d4COCEz6m=M-42adCiQx^w^Gd~=Wbm!yUT?S)bjqm$* zW<`-Stvx~s4bI0#vFLpZ=|0q@8`T(R@>t^+QZ|f`$+riec?^2p%x4Mq zc-)vRKMKo5m6M@xc7A)hQKRNaIhW+p%#NR%PC_Z6r`>$bbWc`blp(&_ojIkDD32|n zXS2U84r}psu5UdVL?KoB(35z-U{!_P;a1ilnkudpu&7FxZR}B8V9!Tpoz&}k#=;ow{I^pr0$=Sdf{fR z=73>+>uA9{D0y47`Yct&l~6V9oxF4zIB|p^|C9#6#nR?mMw)0+wL&10O(OHK1LwCL zgDv|#9R@5jIA$*%TL@-LkmH5Q+GD@gFM+VP=IZXQ^WUD^F?BsvvcAI=+3Fd2xhMy{ ze1-y7;Fn41fB>H8&B|>3k##jDg`{4^8B1R93r#JQ{c37{rqY64SQbe@hBZdhdh#Dn z;VSZ(ifhJ#h{=QAZ?w@UMGfCz8%b2qgppF6ycW6H1-*R-<)bo|dw;nHdOcOyJn?Tg*2#cd1Q^@czk3BOi_ceT>u(`VGz$m}D0K^RdqlCKTp_F|t`kN@)!>+Cb*+)gw z=e6~9w5yYi5lpJ$O=58$?<>k9_+8!0w_B$cprdU(Ay+?yiDQ6lJxs>L=gDrYVgi+9 zt!U7@l1=cRw^&ucRGhex9oP>l*HS@A8W#J+`7o+p)6*5;#Oq^+AZ&dzA7D`#3{8Hg zm&_AIP^&|2VHzYpBw_pD<^A<5iSKyZ3XmsE;E%btXfembFm4SNktC6UyZ+!{b%bVH z3b7g~56SCQ%lB#EvI8T5UBLLPRYB4WAjBV&Ltyq_B~64P#nO#`EY_N*^Z+KJ>qj6A zU*j^0Pp2>o8bi4cU3ye{+7&e^lQ?j|M6u+kM%kRgz1VuLtXhF$P7vnxFFNho{2+!V zK-qZZgz51Eiz8Ij?9m{{+`KpYa_F`=)j5SJ{ALJYEBRS6C}2+H9;2!%n&LKTi>y3; zt-j%5h}_D~AnjPEmQIsUURE&|R=h!h{A(Zq7X{r#G5u04!m42@K(=XsBgQRXt=yjv za7Nd{={0=O27vJlu;fBA4UFK7$lbafG%G|WUv5N87=3O6bV8uFI{DHzXlZFlO3T5t ziP-#bxiDP!?A@mJZ@CU_u~pBdenm)pB>Ir|fyvE^@^9mOAeM-xj^Y~xf7@}#BnH#(e0jZ?-fx)7N zrxCwzK}tt@;hv-5n=KIdcIeaq%x}XMrA^3j5aU+=`2lyOtWFRM&iouFnP{~pyq=43 z^wr1vqV$m{?e}XAy2?WI*5{!X`8M5;XC}K>(Le2JmXF6rs-L4rJUYIzF*n@&sl(az zQ#FoTcrP;Fu0p%n)Z-A8=-%{=*_@NY{6~r0KGsrCOE;rz3lF6^0mFYsG`!n~d@2^P zE9|oh5e{yZRXEZ-Og}R5{FKJ4-v2dwg^`V3EBF-q^;PN`xeuX%fLeDl?9i!@S@g_! z1xU>2=RsZYEQX8*@Hfl1R}&s0?~+0HVC&@69UakWe2*KqA!bg^m}>Xer`WGy5*&}^ z24@_2v_gp+pv?MBdhpM+40_Bdu;n5QddG}XvUz121g~+@9^b z4yEP-X_tARG+H&Kbi^Yi5ES*B7Jx24N1zjA21ZJ&Vx1UIv_DK(*BDOa=CVPb>i6Ks z7D!vLk^MkPNtAk1?A1l6xPN{&pmSB0Dh-z&gvW^W!QM{dXr(1>Yxab$vk{CB93(k- z{qPmzLv6S9@R4v(8F>&|Te_*GUhD**&7_%yf(8eC=4FeHf;rR;R}>{v&B(gtJ(x2R z284=`jVDO!%F`-}Xz%zo^Tn3@#dj({BPYv#%Gx~%AWX_-BX2!H*}XGOWjj=O)!Ms^ zDzB|?Nb(kU&~=1&FN=(P^BA0s4w6I`|WqT*Le(CNp+F4x6fu|zhzJYoG81>K;l30D4D_qJFkS?kFC=G6&5yVHpgldM zH@H*j2B8gm+HFWQ3pwVf1~Tw-$W=G=e|<2EBsU@1eD@QcOLQm`7%Y>3Jnn;oY;9>dIwm?qg>mt_52X*CBd{#p=VyYTeYYB4=NqX) z=_bim&2O0{RPY6^Sq94|Bj9*Fqj20ugfhE~?2eb404>LmR4X&caI|p|*?{o9b?;J+ zI}T6dzkVh_R0CI4eRvc7rWa5e1>hP)!3y}~<8=tgV>%S_z6(jUz-OC!4c7q;c@m!q zs~7>Cmp<;o^w=#EJ>N>YLJrMKj{d>YeLn$h17Z%}9algB_q@AIvS|*kGrCf~UR_O} z*~jZ>MZ}YG5J{7q``BsbVo7+z^rAWVSoHCF1N?5~{Pcy+vUM5eB)SsQ;)Go?EQB;_s>*Bpm3X)XCSe`1^0Z! z@?kenF!De?MfM*%^qiha*mzfkku>}8vv934ybpXGP(E>`jes=Ry9bdYKEsawND)Q* ztM9MCiE$A-D0XUio1oCkA^CcCexAm=+ZNc4HT6A-t}Ca^tt>5pM!RO&E%eGLH&BcK z^ogkSh;Mw}REq?xsfj>7nhU11TZC(D?4mK)`|`NVfA~tpD7I~f=a)_g<+`uha6 zidoesFt&e2y>Z+A!1~a_sdch78u_#6jESO45EG@9E)ic6nXuK-o{|B8M=;FV z{P)&?cRQ9Q0$yfivRhh7fanl#XO@9WT5qaisZfnEE0~ZYSIjM_+O`mj(u|qo$FxUw%2^=7E;w-KaJ&mT*xaNpbt}2{;9!3Vv3PN+H5Fl{KQQY z{vz>33Layn$64l`Sy`*{aKIR!8eV2l2_M?GD$~E?^ViX92Wt2lSB6WKx*uJ(k$m=O z?^YT$8zlJ!PD==K*Lo4Ugo9>jCw7701;yHM_9swIXW+NekVwPHLh1?9C&6tWt^IGm z))=J}C@{Rvz&;e5a0VkViYpWIX?imT2k~IU;Vo`Waqw$PUpbZ>K)MYXLRUe2VJm+9 z+wWB6s`~~l)6X$#5I;3Y!E(3hX${A_cQgUwsDzRu*j|bsH-oBi z^>{$asy3BrM#vQ`;`bK*YnY2Zdv|NgC^3ND0;v=E26*gIfp|VfXp4gXi?oWEB;3); zluc57+Fq?BS5v?_vGgf`j&{3y1BfgPC^D8kL~Lpn7?J&PyEp9eCItBTZS9VKJsE6) zl0otRN?AS%bFXgiU!rSqE%zpwR z_L11qLS=bIi+%i;`E0*e)J?qSQ7CLbhfGsr6~Aar@^{RZDan^)zJFb)!yP3lXzV1i zHCzR4Zp*d8MIKDx^d^%sZvGIMz_M$((VVp&ywt2QrA_Q1IH0Vj4Qbm{h1 zm*&4}B~YhxK~O1ZI>Alw;{mwGR|RYx9l><~(yd*9;tPxdeYET%^M(Htd%)?ifGv{S zG=gv!Kt@8)9kaHw0&FHA&MBJ&mpkYs!9fM)2~dC3V9myur?vV8k|Rhdx3vW6VZk&z zMKg#vvD{m4xsUBVa)MDu1-Zo(;#Uir-LwfWt0019RaI4=ih+<}%|1^AqF9DG-R_Yj z;(dXeNxay21umGcRmO#P&g`U-X=-7*akS}mn%WA7_%VA0x!AXbM=v>FHk-%h23WZr zx7lD_tlt}xU>E;)R@f|?2Dd}R{lK45fF+$zySNY|I}I~smCBgdwY0KI8Ib-_U?YQ& zw6lKk-=e~PC%&$=*bK%U?P?_WT=}(s;j;ApiDJ+4%VY5J1g;K1$om1Nue7tcjRWP+ zQNeY_08*S4A=19AR)|kKJ~-@Ks@g`Cl6iiE_LKcSS2gd3E}(uS{3Idu*Fl9V>N!LGqg;!ZMJgy<2gm-<=R({NRl*q!gMFPs1S4$ZNTebKQ&+w3&?1O zUjx`nPt{nH=WVVjaFKw}Rm*PqMpxL&!Jay`xsZrm(%|?=f231Mpdi9j>16~fTtJFM zeA8H|u|B8vBu{ct>jr}?k>ikCv+KUb$6T!yQ5pPq&HxgY;j)l%5S6UWC|?l8e4nd8 z)y4`L$mpsx{0&iSLU6IZ8-2XL8UEeR6 z5lEwLauCuvQRoEDQEEsxVLvuwxL~%M`a8qPBeAR z99$NX6FQq{Rg`r{e8(v>vl!x0(S6+JKfl{$u42-&*w9j4;nI(=^{j}ATAlnZ z*-tV0b}eOsev)vmzX4GRPOtS z_G6z?G0naih;6JBcuc+0ec)p!9*nV#bW-ORs|eqts%#MeHxkMTO^ z3A-h#=0i&+%cThWy^sK(oT3cZRea-w_v^GLSfj*XUO6Ls32~!+7T<2vcwc_??l#D+ zr&Rv;%#Z>ri-Gb^qL(6d(EZrU5PrnCzj7NFQEiYI=J=;)Ul8jNUz4x6FpaRNc5`Bk zycVS+Ebo|HZZD0$Iyncpd_;$){eW^fOBC#tt!fsyW7=oI#mD}aii6r*^%TOSHi%OO z3{G>Eg+~O*a!qg5@}mn|=-HXc^cgAB)?cbgra&TD^il5FL(MB$jH0&Ni>i;5^Wr-V z80o%A4$;k}#;+y)o2PtO)J*wZ1;Z-7qfg(XFRy_!m7cBKO)?yvfJLIdhyL?%Emg1E zW2|KisB<~F$lJMdgL57&9w`q%qTdZx`WtNc6Nix^_-QSk<|2Vg zClB6!^w>O)PG0FH(25a|n~P$VJsLBz%4^Hypy*>2)in?4na|c}FOW{;|D$K{{=#VK zbYQWwNkBL)hGbD6n`L#CB0tqGOgJ`zeR)_&l+)5-{)rAmw^>H_Ry(D4*T7_ zZeVp|nmYOIny(}0Y28Xh?OPv30!h6g_ZdN;c5C2#?+p^$qLx9hF;9x(?y>wq7}w(d z1*u%G`^YG8BkY5r)2?WfZn10W4Lk{$0U7+f|a5*Z2y`lfZYkd z3&X&LOsrytQ^W&I{d9__om=jffOQ<`jyq_5+5C2}GZd&b=XC`rR0ob@H1EpW1_e}= zjEop&c*>MLcrg=hY9diZZv`G-Mf6a5U9W*+LN}YF6*h`>$~{Jau&mtc6`lmQ^GNM$ z@CNWKmd&dSly5`z@7IA`;*H&=8oa4u|Bn9Ao^+d_>Qw8iTyNeP1>H3Qs7p0MEUD@{sk@3Ya3SI!so8J^HTW?Ssf3TcKfl{KVh091j!Ok%ff?))dpplpR|qbyMa|VC(|A=+CYo=%aNUUoH^L)DhXmOa;09wQ@@O z;pn^56{4yyx+Kn8C-lE9N!2>QhWVOL!v*uKQf?g1JlyN5p=ju|SKa+YyGVa`ag2z& zMlwv>=_*O=hoAp#Qt1t0&nbgzP0cL-k_94YSc3r1kf)aSK!T@gjZMYE?7Nu-Rd`Rb z;Z%9c%YZqYx$ScI?obSIgqbAHm3cS8m;I3Y*F5O`sr(i6+S$cy(0~cKK{_Y`ht@gM zhI;d7mm@?U?mdi|1zkspV=$2`Gih7@656VZUnDwsl+l|vW1}5=cGEbs|KSb6>`W$v z@X27V=?azZdjnDsiY?>p+#H-=b4$xeHsa`!-|;)t7VyYXL`;R$hmB1n#P|eLFbD$% zC=sN;9E4N+!bcX_AEH9UH=nMOj#Y{3*4iDedmalHefW~`{lsA2Fz@jOj`u-pF0}JD z?{ZqiyhraP+cxFXUOl}~{B-p9V9kNAUBR{TZHl9Uf92H<5@eVpUZBsG$l0g+NyY2& z^vVBW_*=c_qH8>iX=S$RS!E+`{g>);AJ&LGnYxcVzD7Ep-z|zz&XvvOd#4g^?iCq4fUSHK8G`6NrUcknGm1U2%i z8?J1Fr>AkBhCgmQ*pwZ!Lu`zHe;oS17r?xAzm! z3^f7sUrqA`%iyMx*FS=v(y+C{D`drpC;w~t+&$bH=%6DZhqc28s|4h_kaaZPqn`%~+ zpjDWgCL~@hRA7&!K+3QUM&R^lyvrgUtA+&@^V=T-Ia$kiPdHhA#17Ctyb^yyEkTuR zhH41tmhF)C5o+x=;M@8rmEFVsLPEj0mzv!nP(O~sW|Uf&Fmi7~60*tF$?iRrx7C;K zD^pI?VQ=_Gt*c|B9ag%Q;FAZ(VKP%FUK))*>9DU)$E;v3>^EqABs{fR=jntN7g@}B z_t?klaH}4BS1MHThoW%pET+%k25LGe0F*^Ym)t)9Mv_SS^m4(b6c9Kd5@CAVUxuOO zRABqp8{l=6{Y%gKX!%xoCUflQtB!&`&89WiRWxh#uXmj6RnAX6H{g-j8X3n{6;e^z_Ncv5j`mPf(;;9QnOyA7|)o zo`A+2MK0U#99~Zm=PO1w#Y8iHy{3~Z8eYC+eJ&gA0IdPF!IP*7F;`4pO*t=)9b$n& z=EQ;|nG|!9n!naiu7qvR4&y|tRf3G1lE&u7NLvQ5#5fQpz4g-|lJ@2A-#aKwv{A0b zg(r;zCg7qB;Py z&dq19oKg!yz#zEgaoD-p562F{$JlscH-@zfEOJqEAbHGmOcGD|xNMldP=U4juOYgL zZlRm<$iVP--phAec z=?ymQxa}SyJy>+MLiQiOln`bK!Xo!9{?Fk7CLSOg1Z&Udj~N&qPLEE4jRxv#zv{ou ze%D7ONXIQWP&a4!!fqjebF&R zq}v5Hlu}u$@cNmIZ}^}z$g7yyu5fzT4sfcLs?OIHJoNL$7VG$|5D!=W%7nT=oy|Cu z0OC}kL5JWE9dvVP_fP>l<+WCl#>iP zk!$g$k6V`n2 zT5*rqNuviNbMR|MK=JLPz(fWykei!;&V(@L+aLd$ls`pVAe8jRf-}KjzeAMNW)(fm zsMjzonXTz_gn1*7?18xyfQ;&gd*D>iF2ZjxgF!mG^gRekjiFvfNEaQP+$exyIeZ_> zXe2olfk+{prE9!A(W1JvQ!zw)huX)oOh}sJJ zRf>~mK@KRd12{*&XK98>n35HrO#!0?1~oub{lGPQ*9?ACEoR`vCmfenxd(k6SY18a zPW~F6v%>QmT3A?sh?<_MN!)lbvajnBzeRuS-0Hq@4V_}8{L=XusTx?QB!ZB59X&h- zCuvPTkUw_PE4TbpJuf{`G4T^~Xe8b~$PgW+g*#CQ)NAZSB3ZvV$t6(`H3vE(8C1BL z-qmAZKVbC@K0^blS*r)}f$2at-B}I$FJ7DnMJf{C{>BI?*h$|S&WBg-9;7KM>h5(a zeYp*Q%Pq=Vo0-@i)nJ@5zB}GyqfuBpFizw%p2NyYW<|#eYl4t}&`-36JmnQ89L9g5 zNjUmZa12n5+f|>>^1c#+_J6ey?#L7we%8)>oPe4j#nx8)$=Ly z9O{MEILQg1M%Y0KcrRse4wh$to=$=CkS;pvA}rHD#d3CYe{vFug!vPK28V~GGUfku zmhBHteu6LZC6mtQCxyR$zYf@zck2yC%hsWZ1tSO%v`KKmGdY?T*V))%1-lL!7MCrt zMTNR*aJ=_Phd$K)a(+XBb9_op_}WvynKaW)WlUL3RbH>0fO_S-k{cM`2Ms|K-XRfB zbBn+5v9T@G<|Egh76*}lTvfgOiZ*9yxBp}5tiqz~+9*79!zkULQi4dAbV)ZT(%m85 z-62SKcb7;?iAXm{moPL)H~;3lehxU{hNIr>idRg%78ZX>m?$uVuPY?Fp5j$p)#Z;RQ2t`a z_^Vhm>yo03yy#a!I^hW>FubkVH)%7MK8BpuMy7d++lEBJEeR>{H)!M4xldJtnEb)~ zx9carkg$T!dAVM*TP`v)C5gtOLg!#}6r7}cYadhGA%BqwEA4W=T@y|&@|P22nHRq> zvP7`cdDCS-qU@%$ZNd1IOe4pGMBCcOi3IgGR9LAZ`Su!dSJEqNU=Af<9jL9J&{Mrx zYMYcnV?2C5(|o230?s4yvO}_`ss&5BRNLQ{xE-5D9mvN90K5~(KiMZJUr05XyMbxv+ zOTwY+^W~ARFtyPkir5h<(waJplv5R|9THuB z$y2+F$X=D$UChh8fSP5Db-KJ!N90kh!hfi9{sVL1)fA=Z(``duG?RtQVFVupw zwQi?i%)YHNzl#5f1dp@7&f;HFE-nVTFu)d15GdX#fyuta!mfy4P|@*2F&j;{VaY3= zKq~dq8|%YDG4*g=I)qpfQ`g8A^co81<;|NDryBMx$!?65Y!Y$?!oi#R;+``NG;R}w zdj?1FM2vs$n@XAOuXhzf?6C_5W3Vbe z*M)zqT}nmw8|A@QOK$x1CIq0&K2o}f^C(k2Z`zf>MJ4cO>IUb>CPd)`MU4Pmk>z7n zO(K$jM7kHwer`?MDwyt_5|s-ez6elXe0(R%fgvJ1{`$htx+T1i0p3Bojno~)A3(9T zJ&)6f$Xs|F$cF#y-1#MJXF+#pC1^=+(RW8vxg!yfKmxaWN1uQ;#^$_P`^7CE-I_?c zcyaVSrS}>x`DII$>MPzTw_@g-JX*?6cgmzzd4cPKa zRc%cN$hEt`EV%s!%JcOPxCfq$`6p(N!j1_72ZY4QvBcrWBEcw%2=n*>l)+Gwpaw(j zHTlwqy`tuF8Z&#=YM5kmE|rE$z~(wUK7B1OpswT^bZs_ZfE!_{=J_FiLcz5)iG#Bs z)8c9}(mTz7ZxYskGv`mrlsOVZY!tzqHds&k$=!o`jOijFu5pM)f5@{TbgnuX&y zY2C1QU9=@XC3=a%3dbd;slUj&ZRMn13np_u8m7OyTsYH2>uJU^;jS#b024U)zz7v* zLoG2}8QXe!RsK`7ZP_>RE)S7NIl;Qs#amy&S0n6atclVpb5yca9=z6ju?@}T5?LLN z0_Bz;U)ZHx*uhAF^Xm(xj2u?{2a_tIGZb^;I|2ACQA|HNX6Q?{oMyKjK9Xo#P)B5& z^r?^5q4_kAfjZ$2@3y48O9RHUgORnF;M zlK!_LRN)XMs@eK=XbnHTCm%b5qqR@jo_eF-*NWdI_E$yr1feO^q}U>Z#l;r#;tBY7 zBbysoDTX_aOCR>mjx~d1;Z`vqOTr;ctZj;1qcqk&$8zgyn-LJFfX^->YJmS}%;sSYa;tS4wMh~@OjDY`C4wgHL7{LDV zR(rRG4&V8)@Kq4#{uCtiQEo>)KI-r9-`Xmg?_E#j@R1MjMq}Vm8e^(Z{6%7k!Riq% zNih^BhmRzWm8;xahaI5M-)Z#KjL?YK0;hS@9a)`lGk=*JlX$P#ozDOiqmwPFOMe;h z+mX`=O-xPknFAJ2>V$eH#*uVh^#HWBK&% z>M8^VAK{y09)|e$K@7DisM+V958deP8jWY6S>K=z;-f@<>B1R1qULhLns`l=7J@{I z9#(moiCk?$F9+wCO`vxPF6k9DuRmXs4tFy#`3jMB_Q|5NgDgTEhg-_1N9S-x0cZIS zJ?={4wDKxoTX-nw1)O%5ekyeA`UEMF9sRwF1*8x&B0X)jW7aTnWjx~q5uvtAmgryv z2pe2J|Iz9yKO|(C*VW$siH#`d$0w!BvC-815Ar$4{LTE)B|zUsHg&P}$@XjPeK zV3$h7XUx}_c9_kwCk$(!(4RqBEfvjZ& zSjokQAePov)aO^S%1n%k%%b+OnYSkPAFepDvaGhH9kB3plO;#e4`8Da5JYi7(V zHAi0Gb8@gP_oLKA1gE}G9W>y>@cdDrNhIsZ(tUQjV=X;Se>Aa*og|fa4Hco zRj6{Q`x^of9Lq3w=C`@n6th*Xz3Exw@hv;%s%&}3@ zPq0sp-z(V3J}gCB+%q^R{u4al82VoJ7T7T{sevB~3a>URr4@;)6V;n_G4Nkjd*5xg zn1+Gz=p_%#K4_XgnAOrNN+A$;_|Id-`&6Cwl@hJeSzS;0&`z_z_bi_$w9oLmNi%Ms zHkbf`6B82y@KSF48Y9b2RN|wtU~Ki&Xsf`34_gEScnW?u$a%AD3Vswx1P%#aq2nLW z)BLWiD4cKM%EHlc^24{IDRU)=-_923cmO@m4$TE{MD|QC$f?thaD0vffhi6ULgv)p zoXg)aBK&TR6V>qvX>pz+4S7pice_|oy<;Y&)@-Fw^|z-YM{t&0y=N{ySiMneaNB3F zZYRWbN+)eI>RUmK;E%Ica@SMN$IZm0E=}$eDu}iN_E)CSZGO1abT;#H`Dum%)GOs-?qhS>4zRn_klUoodVJz)EjNtE zaG%Jcc3V$XWEfCI#rl~~Eal%h!5X`6q@MS!R%kDI_Ov@Y>fHC@8qMR%c#MS%ACEOv z-^;rpnoBM&5BumIG&)2}vJ|b)111{pgouo@QRtiYn`^aQf)g>Lp(*QWVk(EB zkPZ(-$4v|soOzTUM@{QnLFhp#0ow2>3~rQ;=&;Oo)OcL#w2Djnn;^GZFLPxeG0C64 z23Uns=K2_vau?CgaS&8(Dz+P_4tw|Tr}z`i2&ox)q`~cWm%h?pPU$ZEi^3u{hLAX- zm6UFGH5rD^yhbx*FN4-z<~_pYO$}y3ZpgyyngIuXwm7xfUui*5ihTt6k82qeih+tG zTpnABGA==Uib7#3B^kn#`=oR|xpaVak$n;Bk!Q-!ynAu1@;I%84`!N86-tw|lw!$w zLr68o?Z--?#Q!KX3;#*hV^{ZVRlQ{|pclNgDqB+a=oI>__w~(@xM#FD8MVhds+HFq z>-2$_C5SVyCxW$P!^=S%JNFB0anx6w(?IrKBXH=Q2pXY1j(XB8su_us6)2r4Ct z^|teof8?0>eF{m=m|@3cVLv$cQ1YW@_hKLp16qi%KYY6`&fPuO(J}paBv{&V;~{M5 z)QZG4kctp0(W?v$k^@7|q_5@6_qARZbJIDi;B?ffz2rk|&#Yb^$P{i_#V*cHeY(uD zhxKL#?KSeU&+WmJ{NS9pEjI8o-7!HxM(?#dW1RUWb066%)(dBNU~ED9N!kQHd222) z4$`nMmKU89hr^~!$vpF(X-PWGkpR$e2YW0i zg|0;h>Ho^Rg>`2yg6)79!F)FA%kcY6#*EL;wBd2ax<*aeV`-3A0rPkP;FIR1P@gZ~ zDik|9IX&%E8WfGaBh3J@0S1xBv5-lIYY?IH$MeTCE%?Us9XxksPJN9a-}cL=VczH; z60(tv`EPpNuu$g|=lrPtZo9_|yVeqddk~q~EfX*Kg0EZbyzY8hbl6_59B4tgTSDd8 zOO8!yrLFst?MY{lR|H9sRXPRR1 zq)$goLFm=bib3$Q%tEgoG|Gb;==i2-6A^7Ofl1w-=cg3b=y;8A24hj{!^-2WZzvQ9 zncWq&L;>76@ofS2BOuswJokq|M~WpX`NXD5(qgIRpJ?7cPP(eK1-=ZUfgH#iOYKBG zx$B2B#{;>6t(ngm!%IfK5tgrOx1O2MiEGV*8L>>JHT1c1s_*VTL&+)YE%epnTWt)QDqK_=8 z%|*XQ@6*vi^&9l6umwRSehv4ddw_2@Yf>?BRgvzY5x?2Vm8&_M4d!j|s((m1q}AeU`_z<2SYTxIxG(MlT}9|e|G6z5xTKmAkqPa4rKk}_jeto)WZshw{O}-H zhqO_r6~lpzX?}OG@LgF973A$F=di>5a|?hcajf&2=m2F!_t$l^8$=K@1KN|9&c=XS zgZ)_t1#{h&KK1#QwfoyNpOtMNVK=aS0xCg)LF){hHsRBR_NjU0>sPUza`>Bk8Cyuc z11}7^OZW*=A(dv7UiIDT0;{KVsQhOq1Byh=@;K(e z%^Nw~_RBWMF_OjyFBFBp6`!FpK|^f#mnEyGD{= zCdyH5JS@qJVC}i0j&P@s$-ER9h50|?@E8NePBGz6eu3m|XBmzlI1%EQ?r6(H2K=C% zU7b0|0-g%SCN&SbY$mT!Hbz=o+Jnrv!#|u419nHO4730O|acLf`EJNM=E~od;^gE>k-CWt)y+H4-&~ITFtw~ zJwk-C4^uII7^SZDF%@ze|I2{d`OxPX6JCk2?S*#8YU1g*E@w|_f>_U4OvWO6lKbUs zYW!u-Pb+t}up;4>>GMJlRO8!t?|dQRAG`-z16_Od24h$YHruUfN8B0a_netDggDQZ z{$0P>peoGpCb3iU9sa_NF{d|df9A~>v_B=VxB7VB@p!4{N||L<61jKR3x8G9Z`^GK zXWrPdbZGf4pa?V)rK7s60dmm-*b%_^gBr15-yZ_$0{#<_0bH|p1C>Z6_ikKZCF*hN zlyhMrGB&b6P|=}X1-R<-WIpyVriaZgJrMu!E?wWkXd-5 z(53E`3BOZRymr9re2F@NihTt}N`IKyzotKwoCOH#Pu0xNI%AF}31^GpgCZq>w;j_u zLou0Bm0ICh*33(k3WK)yCx+RYiBT!$#)W>m+(=y&z#GCqAJAKrUbzL zPB3r8uMcp^+kBqCLc((WreXMNvuxpG7fmanIx8Wakg*W4EW#HKW)Jmdx27|_`^6y& zt+TvA`uKug=Sagg3+Iu4bZ%%j*ri`^vY{eyn$vTTdgUG>`t`!2cni_U)I&}?(L{BX z56qd-PL9thX7xUkN8}tg!7e|qO`xojIeiJ2m`DgG&g)=I!$Wo<)8v~$KnrOZ- z8}K&?4UFqF;6xq>*iu058sB(&#Z7~Nj3Pn<=g{9>nq*z zE2^XM&- zEegnCWNk4gkad#Qpu$!56-c1}u&4^lfqM09p!XxtCcyfu2S^1__#Qg`xeRT!l7*yU zuljOZJH7mBfy?OY{tq@c&O2fXumj_F7WdSyaOTUX+*Z6&OSM7Bu1yW2H>+{?`|Wh0 z(L%#R+rqo1L+YO;_#&*`KWxUxhpKmf2oHNZ8E8?|P3CfHZMxvZL(Vh^VzpwMH;D|V zPH~le!LqnH7}z}iAV#6)%R}~p0tuBuWzs0$m5+Rk-TYAGUF*^z5RWUhzJsmfC!ZK* zS$l0Q=w8QKY$L_%XX>cbi2M#`i}m&9c@~-*+u4WErk z0GDz)Jsh}$xzZ!3dkPnS#%71M7|U~Tw+ql_sMKwj%bsB-LpRQZ!9N3Dgz46RBu8== zl?2Na-1i{GRZ1j9x}P3=yu5G@0IY!?MxkM%38wc{U*KacT@JFe%uQ#tMQKGx%+u|L zX84kksy*$-6g2P*h?{2^8Mv;_v<;rD}!V z#9yd3Uo`lzA26_~iO?S)EEkjhIulRl%IqKMuw<=kWxap>&XX|Ev$+k$1hC^{7Mj#K+TE!SMaoC_Yiqe0DQ_hGgXXVr<+`3FfC@CWsui(qvpd!W zIL_zWgG_?b67VAh*JEL1lKL!_#eb+W#n_?ui%u#p!&2N?rqgitDnf?b_HHWfE$r#c z{q`w-|L`SPJ3(Fz2%NvdMn?E^O{Ii0BG$U}OF&o|4?GS`%Am2;r$alU6(xOpEM=#s z5E*u4-qrP}?_qm~$9Y-#{G=EQWU^ZNNM7m)TpFk%#YTHWNa%F0i>sAshw83Can66} z_er|>!?Wn}386p3MovmBxOJG(6GkAwXmAU3;-?JSQ!00)8F=ACW--6+n2D|4u3gE# zG$NGV0E2GM6)ETZXU3iCeyMJ45(`S_m6;(?<{ z?fs4W$44dn!ime#Di&}YJ0^oWTm?IWM>|Db2pkZwyUjc4Qu>}RKK=)$${dABy;_Wh zs|h4UfT;Ydv>2GJE$sXI&4rR=SAMk`HKB^|CRVJkRWZ$vKIRG{U&ONg6CXD zW0ag6UYjd0RqW*(4vsFtjkK>crSF6RFr@7o^upef32#xinud&KyWvY?(6MtG(e96I>sj^g8!gCAo1^UWUySX%?zq8M0Z&GAvhOaf{K%8 zO&G3H%p$qi&Nq^R4m@Pc$%DmRE_tb2A`4g`OF@{x`LCH2GVJ9J7B_GqE6Eh_`&BK- z>aYGhktW;gVmZ)?+ut_h<7ucHg77URffzb=n}K@)xiB%$){Bw1LL8NH#j5SfQ`_9f z(p2wM)J}_bjwhvA^0BD_Dk}Qk&U6RN7I3KBKy&WY%ZdDc2?UCxduy(jkvUQCY}r_| z)&9NEO~us(Jc4x!kRZ=lI7l)H|MS=cYd*Wz!NvSECgiL+dcQcOy2Uoag+QvV(d7SZ z=*KK~5st3f$kx@BIJxa|@ixu<>wA71scbA6R`yYXKvW~=D7)9DHD!5e+;1cd=SEQe z`Onzl%L&Y(A~IP>W@eTlyJUeqjR*B_y<+s}+{@o-$WcRmBlB@MLq;)M0 z*NkuH?_C!GXSGXyg%H^Cq(!eNQ z7ipB;A)Ogrew|-k|E#R4GbH@-MM(ihW}Y4$Ml!jn3loC}cYWH7FWf4aTz!F%u-#!q z6B_&F(QjXJWsmMqL$ZuO>xnCd*;AY|;>h=|&v)qNJOw~&{zbng+4F*AAuk=%RN!c` zEh;_e-9`F7%RAI0?(@C1dpt-U7Z6QyE7tcBJ(jm$03$+f>uC3_j(l)hBUxjl$xEwI z9ptuuGmfB~ zXF*_Dql=ebYL?VmJsQ;JGCcAwpKfv3M90i-FdFcDVjF;Ll$gva)%X~7Cv=cE_r{)Z ziY3P`KjWW)n(t=qC7eM>MCQ^jHnLqrQQ@}TcN19 zut>mb{t#NIZBee_+T{F(K>aB{)o!oteH;C(ldUq2f?=aj@LxPf&c#ZCU%e7K*oet; z3a@v!HL0w0)g19#cO$M+>J>fnjAr%r#1r@=7co^gL!F{_hNgzKT2`1bR}`D@AX%yq z{P&Ai)=s}6k-d2f2MV;Hs3p?gjjH_p`}a>05&D@`7^!UH5 zJPDi`0m)ZFuc9~p{qe*JzW?{H_A-mMqX`$~kO(`pN*7aUMuZbL*}iL4d*G%*cu5%g z4AmYS^(Jy-7m@usdz29Q+{9N|8?Of3Pqhj!<-Wt#?-4#;fOz>V`48$%4D}@;pw3`d zpQn;_s-tOnNF@?<(pi>}Qcm_GFZlD9V=W_fOv5l-qjGwrlYKyksL2LU(!iyxkbB`--Ar+;10Zr;{UCaSQBEm2GDH5=Jb zjglO#9RGtzVGE99pUkoB6(OI}xx@e5K4YEc_6$4u(8?)e95 zS)b3hw+ke~Wz^vP=T=1+7hUmv^e*6*zKwyH50&Qxu49Fa9M8;XfY_Jg6b*gBRhvJS z%yn@~^~C62nL5K4ntH6t(XVEY@>c97SIcVYZ{o=#cd|6hd8~gFCk(#xGRYzR^cjt@ zLUorSRE067ik{JA<(kp2(Y>gE*lr$orU+^1EG<|TCiG5XC(YD^Xfoc69Qci3c>19r zINL6G)FB1hm) zwUr!v$_g_(G=#YqN;dF316L^!HTJ_M%?Co7<*-a_!k-+jq32FU$H699OmwWl_O78d zS=71}lEQ>Vj1cK1tw*-OO9V-J)ck(%byu z-I(*mgg-fV$YJ7>*+l^n^B7IklF|7hS$_-sTyCnJGhH!`#qe_35V&kJ zvk5k^Lc}Y0F7Ba4O%>;}U<~7; z4;j&lYjH2h=Gyj|ZWitQB`ZuIb;c{h>`A6Q&3U9H?#R%`w z{S!zrFNs{n32Prgn1l51=}fj4#sF;=xMMD9xA!djSSTr4Nd4U#N^d zb3b}krO!_h3Oyr%BV@xv(9XknDyRbQR9LJ1o1F~CK?g7rVM}#8@@&^t#seLj7Rq=) zSn3RQD)h^oFnM_Ew-)4;H={$jR(#h`s@ipIFmIbg$;o7WniECBGg$O)%}@SY(Hob< zTu-^np{VKThAN|hx#H|&EHD(C!kXb3Yu!B~5qY6gO||QFAtOdY^dqD8cc}~u(gd}c zNqB>&m8h6|&rLB+dzkMi$J0y2>9^B2z2?vi#-sMR2>5{UCB>h>hp^VA-@{k1#oYV| zgVZJ5G6W$<`~llxx4l0@tLppDSVV9y)u;ZYHgd?I&c#F7-77U1UuNg?|8d2aXfO)w zqS|E7podL_wHxOorq4=)dO=WK!?Cz0FlhLuXXdt5@SBUHrFGH&Zp$1_+I2|a9e#% zoE$nj$l-(tidNBJsnOp4boB5Ac!5Fp>Yu zcEF#qAjUc#ZVjhb)Yz_2P*R$$`05-tElMLSYlWu&RdgmxDL2dCqq;56LhXs=#QCXa z$aBm0MSE{(rb4cAjcpV^BI<9p!WRWo@=sc!xbm8(OpMyexl9Kxuc?huw(}}Q8mZ@@ zmVWt89oLp#DiV5Fx5WmH>4US;-P8IV4Ot-?Srku4HLDbbV&)>0-E$8x3z_qMB5D{g zx{qXKFezC7xz~)dM_kYZQpxl5k8BuhGY&0sCw;!L7+OPt}2aUCks598} z7S8O^Jti$tRJ;i#6`>D3)b~M#ib=|2wp6D%F8Cy&fDDlo=;z-}M8ZOZ$PxzU7N3br zh%^Q62R#f)CTM#_bJj(YGEL8hMIq*Zx zoW`L;qojZKs7T;cKZeQ)^1R8BHSP-7T}o)EF#y8(|mFaejICgCFslHk< zf3Q8lyV`~UUFLkCNI6c2PUP$yPTqKLys>Won_&oFt;{>c;C9Ucr*NHsf#08wr>vyo zZDL^po8x;to)R1TiNq4043=oUD2U?zdxY9E0Im$QP~B>j_mcE~@NCBExg=N-d(1kS zM27L}h`NHM7*G4-~bX!~COHvOM;qpT^@FcB?2^#mIt-DwCyB68o5!w~XLs-CLD zN*f;;TeFuc-Ns#wCy&W0pHl>+f;zMPOn!;Ju0}9@Tw76N%$sC;>E`JWTWr5M08BJs ziVI+H=N@l6?oPm}&~^!QA7muwuQ4cCg74lrj#O%t*D+o1x9c$x)KEEm{VBRv-FWK^ z!`jDCi>hurL0@51%rTIxOTITsFo(#`4HXI9J?h zn6U?UM2&K1Ul}^Qh5wdir{JM8N*TsQUnwwCUXbIWW2q z30Ci~_EmfF2I|y>hLsWL1uWK>0M{SLa4Dzc2DKGXI&gl6-6fLSJ1|NK1hB2ojXG;! zshVtIEsCMSeSxmdE*x<2b9|J0S3NWUFpZZKJXmWnzW*Ziz()*dc@GNT7XY-#^n>!& zHQY$OM~JcJaSP5Uez8s>gMSw3p2KJeou$Z&FI!XX z!kA-kZvDm6`I%&7WCVB{pKdfHf1UZrCHQuGi4c#GPlTb#?~O-u*JCNU&Zwh_N@}pt znuDsz!vyM^ZcCB$rdwOjqmtV$odq{pjC}+A_nedwGBf4Q4uCW8j3~|zZu5b-g-$%2 zkH+VQE-Df#H5GnTeZm@22P8KI`%m_Hsp4dB<(qIm;6FbT(0WzMrGoqUi%aQ}ZGF5w zTgZ(*SNi8Du;4x*Fwc{1Xdp6lj=}1fo;@pJk}ZJyA*YAx#x%lq+dL;~p{_~GG}sv| z9->z)G^aO8E*e-zb#TCkU&m6fS=eKsm4SFNr+E!3s2D4|w6Rm{NTDArDNF9hlNlnb z!vc`pkkupf#qiLEY{yCDS}n|WsmM#`gsfg1V{|4x9bOnfWMR(w0(6?_cKFk?O^K$XX*DQ@BBpa$b4fbT(;=a{vJ zQ#hGK)_ZxmGUgPBUM7Mm#dx_)Nl6*gXLKL_z=E|TwKr7+UK7#V)5X-Vt0s<@vgA)G z(`AgeZJlH7JW=$Ll^wW}&0pX|A@V5{%BCzcZ_7GHv1R%u?2BetOZ%W>tPQ9u=4$1O zLYlbxukZqOpnq9^@*(J+EayXBB&{dqFv%JVIgNnkTHx^c2Iyhn$J#n0D~muvq&NVE zHF3H=(^EKy>vTA-Bv`#R>)i6y<^#0}oU;+*TifOIlh^oD_>;iQykA`e(?kpE79O}a zYb}Us+R54}CK#IvLOyGcEXas*Yf00*(AoRkpKIHM%hF@Esrm4*xYXUu_NGd&r~bFZ z(<6NgdV_&K(8$WF9LOU$a1`(rLRg;K>iF*yg(iLcVSeLpP!Il_e69+~HQ}fcuP&gS$Tt&JK+xrE?yj)ksF zQ%P~B_e&ZY9R~YrHAO1M_)7|s_lWO)-HUx+Kxz?d1%i}GL|)1$41~_yFW{tNdeV-A z^Cy`eEq$EPC|8uUZtAWXZ2~sEopj`zk3-Oh-A6Cz!W=uwDWC#T1B%7wh#f^E-7|Eu3}5`Z>j^N^y5i z;v~a&BB5+OcVLy|tT+X6F;FlHI2r&TjXV!r6e)z54Fn~j9~`7Ghs?ceuprejBwMG~ z)?6Sw!a{|eCtfguBmRAICra{Vtbz9AWAfvP-uwZVEw#P^B!@d-O)AzGlJg$BR?{!g zX&*fVY3Sk8Wu>WzPnJl2H|bd#!2|qfLmB0>X8*flwPAG&Y4W|Jc+?rUM}YZnvAh{N zTS$1dm%Y=pnuMN(A6MW1O1M$@?VLvWG+nmWx?zMN@}=767Yp?1zlMMpoNNIKU-!4j zF~xf$zluERa!z9gk>^?PE3{+<^7xRG0TaRO$s4Il$ScG}-Q5PneuK8!+VQ<}Xcro? zP%IWUHa0X4|1$pU^^ZR}S#&poo3SdWd*L_ECL@(|c)w2;w?>hN^52!EmdoPkHzqRe zqCTs;7cp?SzKP2*J);g8KIXL}6HK8XS?j{Abmzs4v`cY&Q&Hha?s@Q6rfb@osD5Ur z#mxPzVd2Is0;c+mM(1U=RHB7I5o``-4a{{unX_%LvjrKJ|P$30^L^O4{9c^A>E|R_XYKlL>1NF&FHJA z*Io)AK!{x+efStC1t2^fM5oI{0DY5FR-*Ym5{)4;Kb_i>9Vzn!s3m%>z}cf@P@s=%*t0gK?)*rNh&XI4z;bCu13=X>P7aSn*8`^$#jtJ4a4d|{LQ&iK1BYVuwdL@= zg~s1nm!nBEusArP0Byn1v3}to03F`I{|ulJ7o7qVQOJ?ZSki~}se(`lqYdo!C`HE< zwfQNo;;WFZq{p$CT!6-gYy`ADUmUT=g`6GP0BXaC zy=VKv9aS2jxV7v1Zk_cNg^`)b75hVwhyFhttY8MaE7CKlFEar~$+a_W*EbftI!{5W zL2<6tU#46A);nhl`-%*YpJuDFe)fHODe&OTM&}v#M*l(HGwx8mt^WnVOQztzEuH$! zErn}zlKj89%9gm8AFwcr*PAe_*NGu&``{keq+J zPy0R3#((-UzZCxKz;c$U5IPeCKK<*CPWx33(PW%CeZI_qjy~Ac^!sxNB7zURIflE3e#;fw}kEm;v-_|^MuK>~M5C0daKxkMvzspJl9&D6&ox!XJ< zGQZ^Z$D!~7#@bUitx{3I6$b`lJQD4?)n9JS!qP#gC*fpUiZpghU*(v_=>ZPB*Qkmdl;Ut)F zT(=1ZZpN`sDAf@+)eZNO5OE%sn+m=)S(!9CEE_no4&Gr(C8q^xeGnve({B4kOlBXJkrp7;DM5XXxE}Vo68wW@B=+R2YQ9H;wgZq#S@kV^sU=GiC zH_3~y61ZElTd=bQSvQZ)it3mxv&HF<@Y4J_28+Mh9?(BB)w3_{EQuzSrn9HdHIGVB zIePme$fyxHn-qPgJADCfkfWA;iHEzB=K5&=7TRskBhEvfJl4z6SiN=DD_|UE5wde@ zrD9u}M{f1$my?clWE1Kas4lajlJF9)xB7e1yneVWV$y_Ri%G)pW5$fu)A~&`%@8I5 zC58&2)IF#0CG+hX;(Xp*nBjQ~HmS?p@!tG;Gd;bmp43P}RcdzF_HL7Iveq_JfTb>* z)JAE$;r!Y@Uh}RYue4azy|j0^+uy`Ymh*I8xm(kg+@rn5@{8Q6`G#&Yq^FAwYD69n zFR#cAY0b`5bXPsJ_=|x+sVuuM{FTZZ_hTQv%o&~hdS0)RIz%*fL%SYQxUT_O`Zc5L z7HvVJXfpjOWl6SZVubZ-EQ8o-hR%uEt!NhCC;90Kd5y?o)h>Z?vQWbzP+?bP!=`3I0ru`Z@rbmgyx72O8c9O?(m;rQZ_7ml$qoy0Id7A$uf zYbJbE5mpygO5i)&^4CTk_Gf;TGOc)>#aEQ{Nb*o|IOeU~&Y3~Udu#1@H;u<`y9wh; z(@@am0`{{0fgFa);ooRp)mpRauti7*r(~mryM~H}D)H2GYOg2rcj*ZO(+;*^c{1v^ zhs0YMrme-X__a>2wVmTeC8nGg1Q(*s!Y;we_ruf;ggq(B`CkMV$I@=XjTv(OY~bm{ z;INox(L!Ct%~QuYxADTx+bNK-Zq{DcfP;`y(3QH=xAyRV;IudY;(vh`n7@^M_m}R6 z<$V-<10NL^iWl%-Rz)EGtNg@NBFXOk>$~&6hqo*Tqwu1G)i}-t4cM;SA7l6l3Vw#S zax9c1yLV2nV4J`_=Nw$sRw_K$!}knHd=*)d)ufr08D}YgR2YN<|H-e@_wnH#RKM>* z;Ajn4_7s<{&T4|7$btS@b4*GMs~PE|Fw9>^Pkl#uBf5i(moePOW6sawQ)-jr6rt}a zaNO*)88VpStNV|0+LBH4eenqDAw< zIPudMd6FtTr7*G=`c184O>p~rPrMx!)ly2eXsxa9%HSM%=n8-KS`vtoTs=5B{U}4} zcUTr#ghaU&oo_3W*;!&FxCon#?zik$kenIrPBB z5V!wW$%}a7sdulY^S?(`b?zK3(=^_*_#oH z-=orMyE)f)j4rJ~#gs!KYV-Rf>WMdOScuJA$iHpJp#k%or(q25Qwj-&^f#a1l*NVc z&bvLFO)ARgK@bOwuhq0!y;miE>a$QerYh*iw!vjI%vmERk@N&*lU6 z&c}|Ul5VC1JLTK2YdJVC=(5=m1V1qAfq|}_C^P2N=ZqrZn=Jm4hn=9>!6e@b=G5dl zSj&lmf=1)1W}fP$AjYEU)+&cnldX0Jt3a*-cB>4}r}R{HN4|y+$hfArr9c{b97N*uyi-Srv%{v{LTqWb6Z>}A5be{oY(U%E?Y;T7>a z*mh^}ZwxPlG+WvpOrf+o4;b5J)fS78Bi$V@BF!tAg9L^2`&EYu=@!L_6Pag;A2d9h z6O_I!*oZ%{z6rR6p~>GOME|&kj_=Jedj@O0ZO^nHSptzGa5O*s=UP`ZPmYPa12gT` zY10~8)tTIBSh5YgRYd8w&;Eq}3>zsV0Zzuqs}^%6^D<)*VZe;Oyi4Xcalry|q-PgA zoXK?old1_(4%2CZfSxl-Wv=Y7&T!p07G)aA4=85#$>cD6AY6}1c}#|2P0j0v!B>2h z%<|-_=_YA9qGXfjo5ZZ?)PvCCL}Olyd-kwWik0necg^gnTnS5b&KPRku?^kG#8mGZ ziV2wU&|8D}s8}aAh5;DB7N?~2M;Dx5r|@BRV*F1_0lYUEKhMSj<+UZBmq&0*^tp4IseA8`hGhfH=o)&x5u&Y_>Ga&V%`Sy zpDV=HZMcd})h)^5UiEfVQBI1I$eVz=w8g2M;fm7!dhER%@%r!1&s1Gb!(ntLr8;a2 zF<>jc*NkW2pc&S6;AGlrc22`lC6-R^LFMARmh>4Ls4e8oNdo;*DK_)`#&atTSxWdd z!>raRP=O8)!oEz?FD~eF>RiFIb94+UHX+t)#o2veab#xNE;TiFf-O2Ui+8^*o9ncX zU;4n=5eZ8@r(e!J&iNS!T6C$`;W^h#ylh=QqOnu_-V|d;4*`=647=FhL%hWyy)3ew z5-4)mW2{a5c@`!w)gnsjM^&dLtqa`H_BxZhctI1l?|u+11H-vGG1WmzZlqVg-C$i1 zGnq*Z4ns~z22E93Cee$CcP$NcPWVb2ln1#A@OuT5k!utgj=+!z;xxIJ^>WC~7i#^P zOQ)uBnNrxy)P?nPO!D)qWy>-OQ*h4vsAJeImKuFSm1_-6UevmuJkU<^<=#|dpW$kx z45M6Hi|{!!*UpV~SG6EIt2f{9x-%h<@TcGGrLmi7>p7s#+4$P}YA2Eu2@xk4E^ptq zH10yb&Ut?Nh1rLvgu(qmK*_@Hdf$Og=Y7J2%p1GEL1)EIt6TbcK8@X;ezC2sj%ayf z#5}HAX{pjC|KsQ!10s9dFrKZ=HaFYe+S**3YqM?J*lbO%%{AMG&BkQ6S(9zP^MAk2 zhxzcFbDmq*{kwwQV;`xQRoL_9A`7JcJ7R&u?4m|?YjGQr+RJfUMV0=pLaC0WIjQSk z%T!3I;ZqP!B1D_2@Ka}}DyIF`_(W5>VosL@A2KQ6g0c>}5$ypg>iIx>&(2(+qZokRW&)>?oT*E)=En`}QE)y2M*`gc&-9>NdWzZ_4zZZ(=<5GWXwf z+i&}Y_BPRU#j?cPjzu0n18R98;Ql;!AvjU`gU*y)mgL&pJ-3hVQBF5@>pnc*AjJfx z@_scX)7Vj^hbE1atXZ?+;mf}`L`?lY?9;J{+< zqm@ugtwc8&+S3%?F|DlklPV3p7Dcw+QOf|srkoSBOH{!NoBAe^%8;a8n!Cq}SG#X+ zhFoSg4xeeWxcudP9j3qQB`V-^=8w8rEt~>a{wM<4RQwkxBv8FSITD zj3gABWC;m&eg0!%b#W9vP7;g?1A)6uoq6gz92n4=QOUl$?3~~i+ce>2S8R9{&T8< zs%66PM&IdNT3$XDFZ{fm7SCJ45#h!(2Ortq7?kc->`?X&H7WS<7?>Bk6GtnK3+2kx zZ<~x%ggNqPcRNiL{^Var{rgBgxfH)o`xZqm8;uy16AKJ6V;kdB!{smK88^n0F=5G6 z@A~=m2NQKWWU0QhQXG8a18IuYwa*rZg3K=uBRkTXNkA{tZd**LOQ!G>o z*wb~c{htYu(_RtbBb!(tgM-=U9ttQ~B;rqb=n<8MB@6Y9YlD7Co`h-=XwyE{L#UaT zdHv6z;oVS9v#`Mqh1QULS6!O=an#@!FaY8PiWnpYh{Bp~EN0vyFqgLl^AL+6{mvgU5Hu!{Y8VDZF`%t4O(3vMEA?B=9irPGw-IdPnNDc*`yxPGqj>je zZ%W6<*5?k*1P}5(8xU>Yx+?+wow*Sgd)h3G%A3oKh%DLkgZgt39K~K_hf`c#g)ql* zZRuV$O8m=l?EKB#qev|0=kp8;-HRr=W!sGLdB!_F*G|3LZt(neJh)%0wfIwJW4I5O zkHuYl`lBjWH2?B@Ajb>$Umi;V6{`Of6<9odiM^%1v1ssRUNo(4O&4sAj%M_BX@y&O zSSk&QQWro)B8{`29E$Ym1fz6^F~mdN(0H{W5M_?1aib2zfS|9TS0}|34DJZf_@J+pvxGX*sjk5=1yJnCbGnk16GSbKNGPv;tU2pQWlS2#x_(oB zoz_1I6NIk$i{{^yyMax^N1D&pOS|n|MfNUE}+M&w8_HD*zk7#*vIK=8~+|GDTq!oAFB2>%;5Kvw>T3{_1tJo6&00yw~OwN zu7^NKA9umlu+24MePeSI3?6f~E|tNdo#}xWcp@M?K2++jN=C6nR+siElYm4e!3T)f z2L8X*Rfxe_M-_y&<=ffB0{ORq@8MB-e7MH6hzT%&>8%0_9u*G70D+7ZdrJd@j)#uS zt)3%2Sg42Ywzgj`Z|N2)FNy_X;ZWS-BDsqzd2#$1D<~7ia4r%kefu{oI29%~--UKm zsB%b(kUQBIs4n?tweOm2$=EmMXiO{pnE7@KI52bMV(ZVDJ%)SHDnj@laxUJ$}ucDnUo%; zQFM}E0DhSg%{b^K)()s%bO#{mUtmqozLO8o#!(izD*FDM9QXd6g$ z(ITBp0gDLWUy(&bRbiEa4bDH~(D@wv3@_}YX6VI~2H90oX?#a3%nK88DN8~xRQ48< zzoYY)FMN4r*75b=^hyTE_OYM4(fDQct-5L7ad;xD(N^wbet#drAE8@9J(aDPgZ7F1 z^vM;9c>%l)^HPu=@hAZdB(sdZM>t}Lr2T8%4=aLSwfLdz4PU}*yzgsBRHa?gmD8*W zP9@{sHn_t2Qc~1yNfZrfvMZ#y%1yj!o3PZb>?dd%%4?Y1>t~iwqUTR}^1l61ZcrQ3 z(avQmq(e`vzL=XS)2DkI_&pi4qUHIdel8OC!@%`>Gpp$JFK=hIIio1s-+mUnuM)9z z>ir^TVa4n~o}+}S6K5?1YjOox9{bz_NB^Jy1r#jR{0wZ4eL_$q-*Dpa#(wA~#Pz0S zDO-~vj!nLl3L#03Kn5~vGsdnJz_qBn)1I9)#YIr%k|Bb01UFu;ybW*%71%q?+iO{( z7t8?C)ms7c+v)8yCjWKn@7w6~|PZEK0t<@pkl ze&_}({)Mr+k*QzDAM+{T-v1_Z0*-4SAHsyov9>bS31)u*bWiSYH2F{entW*h;<2KNomyWv;gb%?sas$PTgvG)qST%J$r#?u~$Lgu{ zEMIE7|H#4A;7hW(UUG1;(d8t?C3K@NJs^-j94;n@Loj$n+2$}FqK zxec5Nd|Ce3TWfTALH zi2n#!gb@>-|Bm;`-X9`IZ6Ym#IEy;gF}#h9Dl04GoMo!3z((?#H*&?$Rtxk_TVx6c zFq!4NXIuP$%moRi0kbs5-UwYhO1Y|fOkqF1;dfI~^RvUwDd$v+WT^Gh2p11iuL(&2 z^+EIb!V5;ikdSS}y#{HaG(wEuB;Jb2$=OFg^30()TE)IgGB43LnJ-^1ie10W7tXm6 z7|lpTFL(-(!JYHiqhJX3JtnPtAuDt01!;>K@*rMo`p}18jvKwt3i6X;pt!cmPpFu2P{CNRcjm1);nzHuS%#?N~slfm0tzX-OrSxxIKq`U8!2W@hmIb^(SHEaAk z)MRctAuil%5c+P8lg^9{nX>oI1V8ZNWXmh)!Hc5W|4&O@mHK|JTeevMk|u_LL#1Oo zaaL_wiNj%{r|@@~FAT3lA85Rwx14+k|AfbMq|TG&t)cA>%c)L%zH~DOqk&}Q-7Zdd zh{y0-etUaFrCIq;cGIdyOw;X>pz;ilRaM{bN=`8hKOIc)kMS!j5$F`AWZHk_Jj@CK zwY3k%mASkjHwK)lUYU0`VkF(fsA6M0=etYjDK1)yg|QO3l!b0yl5|&;Vfgjh{{^DU zVvv@^lyTy38HNPO&)^S&|26z>hd_9_t>afnrY}=vG{Chb5)kY!xa}q+tFMu_1 z{Q)g6@Qik77f%hEaF`#$n>;Ku5xsnkL}$;(JPEBnk{~{FTC9>gaP-K7 zcMMmJg`8tL>|9;sK)t+Duy?p_`YHk=R*B_L#7Cb+EFw&gOcEnubHQAe%#tADThy(! zl%3Y&NCTk41l^M4%xRC%NFE@I&TRquxNtVm*W}$lL5W9tI`=ZoPO;6$$b#)D^~mkU zJD{&B$7temZbdFxB{ohc-4<=O@JBF5afHr}zAF&vBSh{n7s`SLLx<(C+B9!i-j(i+e~*J&-1U2=~@H zOC_2VZFtJ_u4;45AbYhbmvv7H;ppo7L1`WMB)&1BFbl9)#BPNCUz!gcx~9*xvI`gs z-NpI*&s)WC_)u7oZ-6QG+b!-)0af$tT;IS~$RfC}YS`9nrgA9p(d7~85siRgcqCf& zS-4w5G74{{>1WtdoDG95>;hJ6<8L|Lu4=t1=h@}LkEv_j#eqM$Mgi8(^%vt!JfQZt z3i&YacG88A=S{SU<=IPIX6D2sN#9sJKgPdk6;@4sx(8F!u7L{Mn`ujdpHUMY=6xB% z`h0N_uZ{Yn%HaK7@wTutt4^JvZ0|MXs+QWXjR<(08G_xl?xed!yxiM~6t^Q6=R9-$ za{nCKasanK&1n(0&-W0N2XK7RXer|=u^GM9&8-urVL8AVT17J$|665Ji!*P|q4-=h zu2g)!^2+mxdru_R=e>#qjkh=E9|1AFvpMurd zOhZULu;{LmUKug@&sYg!T6_53W&$OaGqf;cxlfR6OK|bY2uXNtq_`6OC}af;F|l@3 z;0sq^rTJX(6%(&mW(U1v-mVi1#`~>i8!O5TD?tzE3DR?lMb4CF|6!Vmw;(5Mxv*S` z{eD^nDLU%>V%G#fO~ibZ<1>~|*cugnLR%kG8{Is*8KmH%%9qtd|HWzwYd)w@1e6px ztXVpy7)zcx3Cm}aXG|;4j}fwh70#bLi_wgvX7 zKx>KnUR%svZxMbq>B1-3n)w*gcVo?Fga6jMFE1~V3a!v4;KqLD7-vuG45ck)^yzSP z1L{~av0b;u_F{SM$mvU`zmScSvae9Ff<_D7a!pO_|Li$#hq`j#Fy2J!Px{pSdms{E zBgpS@6r{o-uZic+VVl6w<;1q0bWn)%&#*U{G#Ia)@EN(w6cuuy=<R(98u*HpqalBKKP@l#IBX?6$i6q}esgVW;TbADI zY#slc3GaiVMDvY!yUASp_vd~CPec1bOR39>?dLH z-*>7>;6gsz|A1i8o?J5Td>t$y`-YX6xgVN%!h|C$PQ>`hySrxHQOhw?zr)F=e-~N+ z=svKnX{W%>nj8=EDw+OagM{QRr!WudqTiM%R^ zdb0ycKtu(s$tbG8uOX7j%S>=+3p;*2R3E+V9LH`BxoD&tyYcj0W6GU=*zLFQU7aQR zGTAiOFPvzfejn`bmrYG|*l&qI6m1;EewC1iGx(@^GFX*?u&Qq0IYM7zU`+)|m@fqh9PM-`$PaaJ zlF`ue%vqOdRXz=7=_5y8@fH@Yub$>vGY7zMM#^B@dN zOn|7LC4@PSqE?%fr7|6vsSH7YTwkZGhm?})Zr5XhhZ#Oh8<*|*AV2Tzh3k)Tdn&>< zdh&30St}mmx=Jv}ZGi*cRz&>`upIbE9O1bQfrx#6d9NW-=;*yF9QQOz93KkF2$G97 zKOKG6vTJ@&UHVZ85>cW)q$k>|UP7ODoTo}b>+pyYa+@O??Q7}4+_u%wm(SqKIRs++ ziYXQ}Hud>w$?8s6lxN^qfYs?&6Q+QX&A9%5bmg%s&{mX1;ui$nj0$edNHc-yzARbr zu98ahQo3DU{Fc@uelD_g!K6#kz=?ltBUFVE2a1!L4xVyA*r$NQ; zx*|Eca}G1}mg9pvZz3BE2*)SK$4;#G%Ppi;2zA7i<{xcYWv4X@m;aT}*u~ z^Rg!}sVA;qO3vD2FWYU6oK+YKXNR(cpD0t<>sA>{`Ul;Z|4ewmYkg|E{@F59L~00P z;}1g?{FA$!J3#lIwO|cFSxrdi0EElG)eFm3eDN}9x_yGU(SVZfl`~;kFw6W$hvm;d zRw-k6iD27?@5z1elYfke6nkeJ0fu&db zD7)yGs@_Q%(@2<3@v7kR#u8ls=jM4*#pz6)Xrr0j^l2wO(s+$f$ zL;yEJy@(;h*uIJ@>`lK8vy>#L!30KHCxYCu3D!*)Cp3{4ebgJ1??Kir?TwC}wrebP zWp>A^xDaiODoR>Gx@E7%RmnBV?S08}HTVA)skDh_q>|^Mpu>6_4IHk{8qX*3xUGg3 za(WkhE5m>jhFy|LtrPC%%buebazewS->MCxREFVWMIh=O;fD~>zjF4tvk`cZ%uQ_LM2ZEpgQERNY#u8p1)ru4u=wr9dF?%2aZJKh za_G9mq?m{91>Lm6t1R2{HIy~TcVcWWb2C*kf+lDN*=J_+1Qh>Fv(*tEP<^bhFsnLJ zf@zS84t`81a?VgaJ?Xg&r&59E@-EvjQl7D!sH?5WUm zVUD^gO;ZUrt`WEEL#?UrWRah{fie$J1Sb<>Y8!pnOZOVSU)C&pXGg@%E2daz$R+X{ zqKJdkVeJq$|LU-1UiKddN0wUJ{3&oP4SGFcleVU}4ds!eT)Ns@u74H#7XXRtpXx1L z!ewJqJ5^Y_+`K?8MBOkr+zj_eo+``=i*+Z)G{dKNf=-r~AIV$`YDBE}9^C~nHm$h+ z=l@WPCedtNDkW@N-Z}eF!ds41pE?A-=0A~g6K1!;W?yQnD`38hxU=9$GY9qu$5Xf- zsh`-_f#ALZA0yJnuQ@2QEOCC|MXV-lm*#O%R#+mAk&kE5SFU#VyR$oErhqWAc3o&2)F3d>o8mSMU)X&P@4iGH+zxw{>Esn zm>&BG!N|9X^#UI~;EZR=^W>Kuu(QA`A)Cgzel_-RA=Z#>R zp%eA*w{=c9RR|(sno%;0@Y^T>`4#`W{(=`zc3So$ncwGzZ16HeAd@oMrk(LJ3D}VL(#Gj_`ab z@`@0|mi&+p=ex3mpMUl3a_fz}Z$U8#>3u6s-6%myvg&wyn@Z}XgxLP>>kLE{LcW%I z67$mcD%KQiD58Va;@)Nei7Bpb#_yQ6>A6P>lUG6#mHt?iTCigv%3y(Qka}=Y$B}rX zi0XM9)A#dbPWeIm1WB}jKB8|qf=W!!?M(BwXgQS7-Bztbf~Rw_dGt_)28&;U_-?EQ z33^O{^m!>@S_bRM>Z8R7ls)yVrlv`IYMZg2ngSY!=7ByAarZ};pgzgBeZ}PqaqV(l ztoI1MuS`#j&XwZbVC1ztC-n!NI)86LtpT`^QM~a0Mw+l|ghNOKcEob8nj^gRLcz(Y zpx+H-#`j`6aJ$3zLl%r&);n-+~kBbl9@ydxl?5mVzfk|Iw$K(41DmqbKC z!lMan`z8|R{3ilzE=Jj9DEqlhYzp|&k* zMQ+=NZKGIE(|?&h-ymU27Q~9{7m?;NdJA~cSLRduw+3qDS+Y!lbn5nOQW-prDMY{z zTlJ09Id|FQV#=wSR?BzoeLF7{Up`LKp82bsHB3;;)Jv+M3-S#RNU}zS;Cn~s(Qdu?Dfo@A^z83 zE7fw@aY%E)XSYQ4hFpP}z6jDg!+SvZDvmCS(r0C+=8ZvWgVC2s-N=h!bd7V!K}yCzG9tA*d%pf0=&}coVD@=11ip2B z%~cr05dID_x*8Ae%!00BEktiQu zPHH^Rj5*#wYws!65{lE|5$w_e)mjD@v1ciQP?LcVg+*#SUck0A&x$a6wQ!f1kF)Y@Z?67y))SBwF1K8rEA6hmQ41@6s_h&un6^3XQX)t#Zu+# z<1?C1d6$ozNFg5h{_3;&0P*|wf;vBZE1{QaHt$I0D#213InHXM3QokeI8cOKB#&A3 z3thDk%Na=7WO^g`6)2N84RNT_t8G0{e&XA~6o2L5aT5a|-ctDXjJ!^XyQl`SWeUb& z-n$H_Yi;NuUWd+)`5ZXNi(#QTqHFGi=3FYs{$?M_N#U&_#EE98{6Krw%~JSD{sWn} z;>7)Ki1x;vi7UqV-boFJ=o*!1ArN^+-(@?AUo8do*rT@%|gj!7u;}0^bE)JM7PA?rPnG*J0C7i zYUf%or4^-6kagyib&e0!lGcOg{~M#b3D}haO^%2T9hyuDxas%fGjM5O%@AM-^L}-#FSDk~xQRlNbZ0EP|17qAGl8ojwf4}+O*ClMsA z?64REQi*VI1COdN{0slc2YHh#vOFrSM>)4YCXDK6ieYU&txr=ixzTalnD%M4p?hH}^m%QJYOhO8RIH zT-`b&fuRU`ZTy5>6vXru{uO7+p;3p&MD(+#tLqL4hLlw(_(sqOo{}{c4+f66D40Ja zcPe`G*x15Mj;$K92y1_CIBrA~CEurlQz@!V->)>XM?Y=z`8_X86=2s%#I@dY6sh2l zoGl^qif2dk&apL8E*I4Jt&6r(f~;@AdXn+{r-(j%$7`k!&iA^Rmka?5Q^u;r&FdKUod{%?M8TXcW^A4gPFBk zeD(P6=3G?Mz>?l;w1n3>INEQ|rn!Pw>^bfQE#D(d*AF%$XrlbRk=mkP{*aOmy-sqG zKfd@hFo!C&R#121k8V7O9fMT#&Pw4}Fa;)sRU7Ly7!oy8M;8BiRfK4^ZI^p~sILGm z!2>TECMAa11Ju?Of4!7unGbk=s_I8R6qn9;9U3L*JY^b3jpQ7e1x@HJdHBq=Khtj& z(sNVj7R6}5&CZ6_cs&IeMJWIZ>8q^qbEx236l|_ifq1J$=sG4fW&T4~bPM9cGTGM3 z8d|6mA@um!j^oYK_p6Iax9X3t@Yg02=_{V6OLlhD9xdTd6lic+uSKRsDKDUq!Za$A z&~N)LE%?iw_fs|pV>h%9(y~KOL?4#Dgx`3Yv=fxFkS8`+ymE%%PMg~z3WiDWuh*9C z?5@Wk{R`*6jG)LuyRttja#z~B606&5@fp>gy{XfgERtCYy~aPV^k3TRq=P3_wqH=fP4;Jp) zvmD3g!gQ%#ZVZfnwQaCRgY2L#_Y#`@SQ83G;TXdtNgRn4WQ5&>qS5hrs1*pt>72;6 zf(zzn5tLp(J|NLni3@1_wXW;Rmmbi=HgO-hVNIQtS#%I6rGcwphXIF&)6}V^)OV=J z4@5rD5xAIBFwl~t@TCD=UTR`JN{LL)IX&Mrnx{POtVUjjW7cl{7<)Q}^~vQX5(LMj zF<|~6CM&1NHEa8ZqbUP_?Hqn4`K!&|w=N+)4#d!fK6-BwYe`&^{_(FEl4zY#7pUWK z3888!M8OGk`rRYWB$mN+hqSsl=$= z&8t9b^SEQBDtcgJV@pU(Y+F#ewtVh_erCP>92M44BJ7HCIX{;2H)iO&2Vd^fD&?Ub z|A)TRN61qUQKrn|89QueOX2l+3lFeBw`;ljVIuY(_afLnWJoAY1mZ27igT4Q3 zE{LTE?q(!Q+et%{Xse3vtl_J19SeSxW(a>^=`o5YeCEI&I~1JPl@0fN$J5M*%EzHN z5DLejc!6*tV))G_Yyx?;P!hcf%QLIotG&C2Z>8q?VMt)PUQdc|pm_AC7vHXL|QO>;H`^Q1|d9 zD?s5sLwmp0))F#J>A_BAr`X}>Cxtx%Q6QP<-(jRV8X|jwtQtA5M;C_ZyD3~njLZpr z5IZfG{!bJ>aI>xk5mWsRrbYpG=|;83LC-75znoy+A)tm*{CyU?j;i+sD?mVG)@M?s z5hjCsxORP!HDzLwOf;SRCdZqg^|>Ld1aaZQhmk*y1rKd57aO9>^U0V6+|QT~nuu%~ znh&qZ=J3wfMuLm@L6cjs{sW5ZGy5whyPReL7??eI2_ip1_)3M8@>%9A7M9fXvk1v( znm0X?m!We{NQiN|%=Az}7@VR*Q?oYsvUloMi`KFH$Y`=wEz1P*c&6C=}yjpFSoHU*312CNW<2^yA#eY zVL`h~bv|pR$zf3Ndp+F-qVsj0;4=ekmns|3!IHY#;ni9Im9dAW&~}gL(j`^;MA_O; z!`Wq9iPghvW=gNPWOOJ6b6ysN_g(}1P|7L z{V4YJs=dV*$@pJcjes1F@y(r0gSD*4oDm9M%A&s~2U+(6T+jh&$cbj$ zy6^EvPBc4PgNNZPC4Es!(>=NN26bQ}T0Ab~sqgwSAt~YN))CXeeEXi2tSK%tlHLag z!gqc~IE&#*Z7@{5?gwTbx%d|oGaYQ0#w;zkae{bSaLL zs@FSn=AHS?ukzm^%4SiMt=|layNroAd8cgu#N8iehGx!P;t=J#8NEW0`lG%`XeQ+> zC6-VIDuzRwd+0>G35otf+(klVpuKlUQ9;O`tF(avl@9MIFPdj@%_{e>I!6L6hPQ za^Q0onmV$t$IERq^FiTdP!FDe^~nk}DFDlJtt-mYWFaO1(YqtXrHuiWF_P=y8+O;Y zQ=OLDQIpw$yO>myPWY&=PXqNtXA+Ze-bqgw-L{<%5pI`eGJE8NW*Y|JM)N0T=KE0X z@xl5eNMi03A`t!cQVqv+=CY^e-yXOtp>ut%mWWjFw~s77YFIgo*)LjiEzF|Utj*Bi z-9=~$Io4bO=mHl8sN>D~E(5n3fB&~a3&C(ZI91My;Y12yZ&!-o|7_a>UmrPTt8_;t zB%5xmub*lC3^!*S%31c)GscuVie+CZI9AhtCpx>yWvYf3eA`4+m|gM)Ikn1S8$J; z0JO!v*4-Lxhu|n`@LK;jE85FEi*klYRR?w8cH6+TY+k{bC?Dsqp~G@(dQcK&U4>l= zgM>10YCOg^>Q}25aCLB7rE=ueiqUS$Q(h05A5Y^4c6=FHOk2P1YJAzJYaqJExQzzEg&1j=)qv{RkSUzc!3>W#WbLdI!93-n`RmIVPv*?Kie4q(| zZ1WxVz7huF%@#r|zs>n0tyKxFXxC{^C@e`ri~V^zO^!%GzOktFADgif zAhS*30^*_-ni8noGj|#Pfc3bGNpU>vxs5y-N3?z07QO4%#Zu zE7YBO)u>DVjWDlAHPZ7wQMXl}#P!{**taG7|8F9f=kOZ3t;#IELM@U*N{8_$3-~9qxKv3f5owNF>S=hhHMSi&xU-G#(cEo`q$m)$w zgZ1W*p$qT;)Kz=F3E&J%%M~dlk{~T zmhwuTlUdk!_j&f2&bygnj<}7MCG|&)F7Xg^jdGhG!#98yPnONxWTi>#P1?w6kiF^N z3JF5KOZ0D5-ng#DRq79a`v77U6>h1y;gFYbvTz;Ka7%=)gZI43ja$_XzW<6yGL$H( z&}+y`G&>D4p0E#_l+dv|T&?*?qO62-XnO&&7~?I}$WAXx7RCpRkike>E_u|2eX4;S z_HR>g86bLsFe{(@69jzU1=+CqRyQBk3Pk#GfUx@!s*0sJF>~J8(KK0!`}stU*ar! z{le(Db4CMZL8XE`W~})V3ljrb*n)4(m6O3i8hXDt&0bLv7j&GX9y z?75u&Iq^g}K&wYQPjte_-MvPQGSI1SQ#b^OqH8wG7#I>S+{QG+pJeqpi&@mHL&@z z@c=r#+8sW*d$x#w_)(0T_n(d4E`yg)d&$Islc9pg5HJX-8hg2929~v69~hv0gNL7oc*J3&BO=Yw*ak& z7PX?8nYztvxu6QCz~Bxupb%+P$xw>b56}1E_H1xl`Y>K+J!IaLirrr!AL>zsw+QAd z26v_io?`kf-1txbb|7hoXK#evVvr!5Cw@YYYMivVYHb)nm*YhHN&8Fq4d*i?Jr(u2 z9e&UAo^t+^E$=we4CTn8J6%*XV0jdBckQ41$U9G)s0`%KDdcVm{rC-sK&v!JFERC& z>7Enal`sPk=D?RCd;WNC7ZY0rsg&; zMoDTklj-}hJc)YbQ@;mN;8QkquA525pXJ5@peBeL_TU|PNt>5>?iF97 z@d)w)*Ct;6q~jH$|2)-=3%8~0#}s?q%ItpKkNbH+*7?ALE}7%Y2;~cK>f(_h)h|Ws;NG?x zxe5ZE9v+TVxClV?EFfV^j8#zz(71>`mD=ObL6J0u370B4cZ^n3(r@7Rz%I&7JPt}q z6^AGp)-5>X(>LMJ+Y4JSCcS()IWzb!F&l~^m6adV`ZMoCEDoAH^uRoK(%f`tXEV=% zyWh@;k3=9tER&Gfloy|(-~6fCQYj~W)TU2*gd2!mfxOV_X+9jSX?3#{px4XmM19fV zy;VQN(N3STN<{b+?xed`WI7QxSd?aI(MO_Si6Iwh_wqUIy-(Ux_`l0G1NoqlWu&iL zWSzo>?(Xa2vRx~U(R)K;dib*W(Ul!=HAql(Owg=sM^+K^7!|a&Ru|A! zvh=khG5n3RWbU3zj15hlot^zE-Uc74w?7K=Z`})c#XNsL0o{FEF z0ozmO%e$iuBt!m)

    wZTJ>kic(`sxo1(L)C{}D#aURQ`kqOt0BJ<&>W^ir)4d`ek zi4v4H4}OV-Dx!~;`zJfjCatc(N{*UGG(v4?bB0?r;jowa^d2I?QYhthb(@8?@-Wgh@7!N8GQsHJJ3#H2wBl-ZCL?%W&2Y=_G8Go*jV9L+y| zEi#T%_oSiW^7(9lDtk6tq~l^7uP=q|DOchn&noyj#mi{`( zZ!$vH&|uo>Z;Wj#B6ceP?%X2z?H_z3`4|UjrMA(dWfED0BIeqULk+f#GOqRxe4~dV z$l&V;AMvhUG4tNkuP?4dAn5Hw%^W3*<~I^ACNuOcVfdMtKuN_v z^4u4^BC{*-z@bXoI0SCdIf`pGg`>#7czp0m%3PUE{~&QwowuQ_PeYt&+$H` zRPYa`LYF?|!*9hKxEHi6lF*_6?mncr$A6@K`jZWbD1)ZGKvKQMV;Lj{V;Np8Q4xMg z@vP}s90!dt=Qzqz%81PIGBe*r|3g_V&^P*)x)YJ1XTO1HYtwzH5&fxq^j zO%wI?6Bsc5_|`RH;`>26BK*}PvZJSk2tiO+m;YPr#V;l_ZEsJbO9Rs_0g;zu9#Sa6 z66XpXj<5()uJ7n&B>Bh5_y$m$Og?Q$MVg*1sCZdWwpw8ac>>?PAM8zKBClF{uKW#+ zlNv>Aote-^kh$P+D2ihlK+lYCfp);8vQ2E zSWygx3JvamBwck-ll2B<-64*DJFJX4DUyqb-&;P`1@38mTcbD0QV7*-F*$gf#vP>*Y{1d7Joo2 zy4X300tr{$XabD`>7qsYCr?YNN4|0n*4N++9~H7KI}3Q(or7C=xKWHnq@GmEoaEsO zrpu>VIiC1krU~7!*fgu-Nsmy(AI1Oq96Mc_tr=6r2#iLM0+BmdKQ!19eR^wXKss;=+v?C znEc%RcLv!uG5(uhH8*S0Ym1_HS7KNI{203!o$2>`@+$irAANqnGCm_Oy_tz&(diU=QJ)`@gwA9o$l&l);gVkKU6v~k?lKD-`BS%J)t7yhVjEIAX}0!FO>Qz4A&V71&9gQbP~u+yOpK8+(%(bZV5@5ge_ClR&EHeg?6Z z!=3a%aTU`MQ#}FnV2no(44}@m8ly9$)|=O^{8@Aoyto7B6fe;%OA64PEeKx~dJr0U z=m0gHI&0+PSO(sBEr1i>AuJ#@;^gf0!PE2l>mnq;%VnQ8zHVLBdJzT6-U1 zJmSRgeWpMXuhOJBX_NRLMNAB%jaF*+MQ zK<~W*Vg8jozdQw0->EXj!&9?($jZ~#7kO~I?3McGb)J%&Acc6z3^x}Sgt0NNZsiO; z+YRc|ihGT6yhLGThLUPhu+*aBuuDuXi}EA#MNO#r!0Y5ZEFge?wS-B0nNZ)Wx zZ`bukcFecgYYL4qw><1TC0Z~%Cv?HlasTsRK&-$5Pb!;cf5L&fMl8A41xwJp6m6_t z+7hFBI7%??NrCju;!qDH_9)mv)qCet&Eh!-&Rd>Bacl~Tz7>msc`jcFj33`BFZ}6akaV8Oq|ayg4O92;sF5!+{`{!29q1Zc{f07v=&O6$i@cHAjq#EI z0HaAmyJJ}_XZIc4_K`aecoO7o4iY7Wg#ab?St@)a?xq=D^nkjHwX0SOr#9m8B~7Cj zbxML(D%jt{BOLMV{QNPHk2G;`dwWYDGn=yo{GEhC$N{j(l9GCm2Kog@q4xp7$Y|pD z%8JZuqT2;{i?ry4G32jgqLooa0}RplK$q0{vR5NPLT~$OGZieLsMy_$a#|j!YQ~Qe~tSb{xg*?&Wrz@z|c^uE4c?ycvGUm*d#-g4+%#LzH;yU zzw+=0HJ~tKiLohNpM#py1aMsnz3re_32UEwG(F|yX3!d0*I)9!{(af9hQQ|=B!Z90 zpC>N-&e+~ZOM^uB8s8Qb7Z(>5C5(c>U?1+kbD{g?*G}1*GZ1R(yVz%Uzw7js!qpnP^HTo^c zKrpvz_&Jd&e7Q!-j*6yy(r~+ox3Slq!!m?EZ%_4d79HM2Dc`@ac#ZMXQ{7i!%Bp)) zl4I#jo{9X+BRkXRS8jn;@qbtiv@L^czn5Kouu{{O%*T{wA%d;?@k^imaJz~ld_SY* z2Q?bht~mQi3Gt&EQ=6`j?T)>8|I2ezT^XdIaOg7Qm)iSGoYg=Av5CBb3x2&{;il8- zp5k**Gq5Jn87Cbpku}is%H5oL-mZt!#lC#fe)st3AOV>30tKCxHfi+a#8E3w>d`~# z_4;~tC6OFHdTiKVz`>+y$ti|Cj$a_d=R$_L?(qz4&Z+9GFop$gwy<0m{V0BGiJGfr z`N^TK4pEsWXHMD8|C{~U&(ervZ6%cN13aa^SPpGIzkHfN!Zx2WT5)HTvxn=%gx@CH z3rIYMw^XR~Dz1E?b*`)JCt$E21=;84gRdGK*Zegb-6ABl!|p#*?{Ph)o9#b=+1$PW6f)|HG6*IF_S-qZt2yVV`Y_MC{*TSWUWx% z_m_srW(B|LqLgbf`wQaCKQLJZe`U7bA_4xIO$Kp?3fX^VN~eq#bmn2 z%eC*tMA<`~2M@_Lbujs=E?1;T9(+#tf?|KSh4iS70$!d65ba-tXCFM0G9;BVwQwY` zKI#td{)p!{R>{E6wi>hjlgVjp^Fz1B#I&cDS%`CAxghdFvy= zr^3a={hfh0I}}oCU0=Fl;i=X1p1*Dl_4TQ#sdmk4z%TL_k3PM@(`(P2TsE)_LdrF$m6RQ@YM<%L#j|?GAdDWl}3D1?jG4=t!TWADo*bHq<2IH2d{8ke0Uz zbr>e8ASZ?2?uCq+2_gDa?K_XXSbcjXv^=wfStNB1&r-oP|JJHFTG=7~I1FrLJpQ5b z`Vo&m8m4wmhojv|Y}9F-Lum*={Io*bdUWL3w~D805#4(PTWfguJ%n(y2n%roYQR9^@M(@{ zb>(Dt*Xlfa3~)vBMppk!vb%{;>kZg7P)Ny5`SB{(wg0ukW??u~VCNAA!~hZG=|f7P zXgo1tf`7an)DxijKw{g1jO)$$9I3jBjIothRB)vJ6``oQXJ z@_P}hR8uPvqjR?U_jx@0f@|ittz|@xH~PZ?E4SM|k-b{h|E*xQqtGq;+d;adRtQ;?YT$cT6|6vH+DrnX5 z=gGD>GeSBFcT_&E5zDAJ($IwZo+2+RX(nI2Rt7P@Xg%h&lqc0pgyA(Y>?8-t+{8qN zy-oTNU|y84%cwlQz}9bksN<^@m6o=Tl|z^z`HY*)uPC%zA1>Whj1_B8 z1k!^u7fRM+r8ah|zR)rmrnUSbQqn^|%(zOuH03 znTLuUcIXUII=be)R!KUu&UQZJBA3%Hxj*IVit3+&65fgiG3=Jh&s>SX!(QV-6R(s4 zEc_nbL-s=r(Z)$sL8KuCq}-+1gTAkMac3$8n6u=nh<9c9K=ajz|hp+&TZE}_r5!7l^f zIKgCd%LvvI=sb62+cJdqEtc6{o58djj;8!V)ANz}K!@-X0}6?o91`QSif|5>pu9+*YTE_*3x zeF6dZT-ttRw6{;D@bG)!+II|ZnT!D0E3(5j##S3HKyEMBMY97uyi#u@` zPqV-ZvTlOvds=ck))03jaYkcY1`t&~?y}`@v+m=PpY5g0{o(tFiG=32R3XCWfuP!H z068R~iLEs?0G8^)mGhrLw zu?OoA%%SeADnl$E0Nlp`6}M)(D@+|DWjySeI)GjhGer%O#khuG7Uj=t^iYbh0W%P? zSuo;KBH*k4A@%-vo{pDJ@pKPkK;iZ~QwzTqIiu^i>xqg^=LpRYA{ zL_tdR!?_v$93gJs)pqA3TEAXWk$c+a9q-I?=H0xANfB$-+1(d5fWyT#%j^(Mqss5n zOGQ~g7^rytr|f75)94^ZA0s7*YbDSZipxt~MXlpL=@Bg0Y2awUvMp4yw}rfhhLI3a z@dq3&&@s(rr@ZSTsd&YXnFm28v?fsE+js5I*%obol?|jqN|BNoaBKtbxRq_Y$tEY9 zS?qbtFEj+YbWddTd7pjLq?j_ zzkclC;2`%g3_I0Yb*Ie=8C&)J4j!|t!oJi_mJoedr5&w`YSNL$FHhFwIQpZ$?=CrI zdF{!({NFVT;7a2XWy4vA-v8LeVf-1dqr0Jj);{?0v6}~3W?_Z2%Kvk|R}hwoP#m|` zH0KHiZEA%7^xLx{iE)TBXhtIJ+P&CMmpjb1j<~ZK7?*- ztz$6D8}lTsN=$Z;>@z(}00*f@n74&d1D@35FF?`zaDR8#(lFrjQ1{~*%6*#f$s;*} zM^;`$2G6N~!}X*kbMaklwAu+R51YtHdb;@V#ChBLS4Tf?^m6Qaxyhyo8791I|DNw%lcMDCR%it-+Ye5w zkq0~XiAhn%iR7^P1Y)W0#)dta`;sn91!1D~?jH_423=DH8XFNp*A;;*ZEH zrW1a8@$|)cp=)o=93KH&EuH8CY58L4Z1l$|&PDXHvBi}*e9(b{1`YG*K}-qyw1@P0 z{}FW<^br`^4dVn0coeUm9m`e}9s+UTDzq!J%S#jR1^9c`*=yFFn|+><+bZ%l?aR~N`<04kHnU-JBkdJ@0fOc(wc}h_D*A9 zv@?mEdGA2D>%j&&a>J(U{4Ap})NZDD19>clNJ)>IwYs39X0LTY&AK~{Z(*` zvuu3>5141(JVsn|8&N|it?ln4vb3^hBeaFa`9eHZz&H!3MXo!#T=Eiq0hjk?{x}D zSOcaYp#toNFY?99P2#Ed2}G)WK+2=Ew6ui8e)XZ=cGsD{^n9;|Px4DMlEp&k>~q=R zY`ugU2U9-vnc1sKCtew1g#o#|RC2NI*Q@e{$R&%UAv@?2CGyEm!obpbuQB)DGwt(R z%--KEJP6vy(GpxrlRbyQ`FW$GL`C0V3MbYnMWY_c>;p%Z9kDY5qVUQLU54<>=Ca~Q zwr}4MNR=;@{zf2G`Ws}p9P`-w8j69FGG)xf0XM=NyBG)U^clkYh-nw}^WD3Up}M{C zxVDlqoZr^HL76ln^fQyaM3z6g5B_cVMwHG%bido8UL7Oz;^(F}pkXHz+&ZiIH;U!> zU<7=jCr4Eq^+b`!THq{0s{fsY=dopyc?EX^=M9pvowXgG&g@aNE)O=DRjlYo#i)1jDG=zvNlEP5)#= zq}2G}RVx($y<%fB$U-4vzn^^fY{#7W3^VG5$${p zjQI)xwSZo;wdrShm{@QtMTx^LLzJ9-*ZDGb&p}q}ZOcz{{8;X^iPl7*TwlR8&Y@L} zw`h^X$YrJishbgW-5yu0QjgK`Sk)N^rdqyJxgq=}4a_gp*~D(xo@8 zql%ZxU}qZ9F6%%;(wC0;CRa{gw*5FkIQ8^$tEXqp1*oXQZ?}R&N&nNOp>;<(e^%Fu z8)Nz+bx5wi6rf1CdZ)@vi~o@T6cz>&4%1P9D8>Uiu@bVf+QzuTc|o@yno+KjYq()g z0~dasMs>4KQ+CZ}4U#13ESSwP(j{(!frMi7z88SlqLN0!54 zbAy43@K@WcvdG@8DwSDG>n!>Y{fsz2f z8+onH9sQaWxbxm@TVR`2f<`Nsh4QXci=hX-E{azw94XYpd}G5=L^+LJVLP$*UZb4Q zozw2qE>`M-Uh`V=D{*^l?PJu88O_LJ@xRCMHYLIIw1&~! z&!i}_H0nomgEb}$+;?ST&jd+`dEO_0awHAGJCLi@9X#Ze02h_mSg}2R74>rEAkCMM zD*3?2469V6m1iV$Y&mB;LIUsnApmQ-AbdOhw>i+1e*HiY4w~1mS+Z(GtJW}@wW$>a zRHm?-OhX{7I*;56={{s8PA?{vkjFY!`|vx;BqgsV-SP3arVv`&~1+&-h z1`ol@`?9|+sr$IS`G!ADi*c1-a@G?1bZxj$o1dsF4&+P8tcF)Y{rD1Y&aUM_G5{AsJdC zF1QF$j(EctA@L6cOFb6!Y#g4d7styk2J^oz016*KKx!P!i(xJLTR6Im5T9S)AG#@r zYH;w3Tgc-0oyY0H8JZtP-~~58N$Z(*FKW3o5d%GbCq0gC5aDT60+W88OUuQt82;If z>k%AG#l^IJSIANWYQ%Wy;eow?tQvtgs+DApI2lUMRI3OlTfpFHLBbjIT!vnjNeIWv zxGg+jWfr^FV{)V=yi_kR1#&r;yj3afnKqXeAVHkkgk`61D8vdg*o+3;TA*WhkjQHi z-X797Gr|g7XJ$q{YWo>nvnThKAQBGg>2ySW?z8oUcC{)ddDpsb7U4tI>RBC~%wibG zwkTtUhIKbDyLYsu(gm=(hdyU7f#POz9Pfh1N3D|L=}8As+^8QPjlAH#gz%?({)AI=_~qz!YrcyuAn}(DWI?#o+)uA zH;ra_E@d9r>A-uOwU|^6EXjL+SOU`;UjRV=>FGEr;`tpe8Pa5#tvwH^hu7|BeoUKAH~G@~PObjtKUL+PZ$wK8~rM zPRp*f)pGcudNrSEefkt7_GNh3ulWT8+!@Ewj4o`QEcW)PPw8-fTIha=mx>k*e68=g6yNp<2x`&?t0uf_)Y9n6v*&Dc(UT4>8l)N9rF!)klc zX8b>#KAOXs%a1$nqydE_2Lmpx)bEaer|Hiu0bk*9Iz(s1*B~_6F+=~G-WJ(`RCvV@ zza8Fuf#F}}fz0rCu$BM}&EJRQ1CMfgUOIcS#&#yQ4zZfie~7kKpF+Re z9kxz;Qi5E5x3wA6>Cw=C3bXo@pbdCyLEbw1k3>Z8e#l?5Yrc`><=i=KUBB>Z7Z5|7 z#bO&c-y-7MSwFWFS#F(z;vUN?3X#=(m;a(x^IzoZQ(*ZpWlCa9ET~n9T(NLxv<88^ z{kB)JJzm0$L&>{@UDipNinmhBi!^0vt$tvNa4VI`&UI)C3+GaaP-?~VnAV9aL78{g z&{qgX<*Zb?abfujaTG;8X(eP&J4(Q?>i<5HRS%@8#}fL9&44G`!@A$!{j`_9cgc({YUvE8xrfwF|uMa8B3rWUlY) z?O9cMNng|5Z}vtlQsw)x#Fdf*e<3SJp0<6&GmFLFe{3Ik@j6V5Id!)6UW~XQ7cNEI9W;4#M7}Kx9H_0f!xwz05XfZP0g$n{GI6o-eYlc*RFrZ{3w85*9pZRifw(!Z~JySUR1PF8P*A0$!fepXFN!L zCaIUUn8*k*USW*%)c^qsPksG>)6|xl40JoY(5$n{>h2-N1HT;*$eRb@>M98Dt<4kg zL|z`R_+uwr2%s*%sB8CG;3fQuVSrc}i1mczdJQWw%s+Nr)xq1wR`P11^X60(eXKex zm_6dGpwV%1ZC5zD!i%kDw5}WW?RU#d|4%2ozP&iTUePi~vQ?h|+OrlcBS4f=;*XM= zu$CZ7%Qq=OfFcGH%MMf8s4X_JSC~m+uUk3YImk7j*?W}`^;VZlkk}>U4`3LODWudi zf>0__b#Q0lD>owWq#>EoDyVNGOC5i)DgL+$q|xE0$Ng;1O4{)7)lb()4jFu9hfH7) zxkIe9V6&?GuZ=wUrXdM^QbsSY|4MzQ`XoW_b1kGIJKW#yAcaY)MshRIS(_wP@$Ij? zCbrqU$NYXVY2&(ySC&@Z?NG!V8OiTi8Z{ImzzEHrn$Js6jEN4*KT8bN)CKwTLE^@P82IWp?Sb_?WT(m zApV8|xPccFxnDG@@MzzgY2xO^iO_E|8;*sdkMij}ijAgSc!rwL}tucBtb_M zwo|ctTN^_67zutWw|bC#d;1^lE#*P^>*x5dwk4_Vf`)W=9{ifn2O|rjrYX_1gsEQj zWg|Hg<4XfK?Z+^}B;mDye1ml%z)MZ2+*?8*DB+#`7dpKusRIkNiPn(&u@`AP9(lM8 z6Jer7-y(Asg6hSE2>IVT4HjvLX}vn{$3AY2a<`84CtJ2CKolAth@4r`%=Sr!8D4Zk z{_P_?u#tN`Ig#D}I-eMQpkOslDwwY$Z)0ZF=fN6`n-|(rIGlVd3O|Ud+KB#{_N|bf zgO({yLPd9yLef~oUf7f!zi{O)VOUnjulLJi|2tVMnn3jdTJ>M+7ys~BSC|?ET})K8 zkH6k{emDK~8Eu^+XdZUk1L-Na8VRO^Ucp|%5=Z;`cKkZQThLaRu2Coa!V8>TtXt62 zb-AV#c+)FjHQE#YSWQ9zMwG##Su9|jp_8g^5%#1HJ2f{=%KG5jZgQA+t`B-X96mT; zy4?});g#=xK4mvY^jHTOZ0py1%b?i#g@%Uu_zW65{aC&K8J9+aVG93lJ=rV23w7$R z8dWF;0^<=mUzNbx1Mj5#oiq?6VUdo%tm}X?mU)J!*{7` zSF}$fwPj2^ikg?o8>ar3C+B#dx(VOF<2I2#!`}oyRaMTS)jik_0PSEWVx1oQ$8p`n z(>I(03diiKmM;;g6=d*ToVi_e-Q=b0eX|2)PFtVdb!qeOZsQV#R}VMEZRf0itKZZ;Fs2Pt8h`kf8fQ_*dO#_xM@N{ zieHWN@xuA>=J9=_HEs8GYir83wiU@7tgWTxu%smTHY7u2Bp+0lK)^hoq{RQ*t~mY4 z*XkGMRH006VSJmkBKW}^mhK9&Bgrn+ZsuPZl%I-KY`5kD<~AX!vKjOKkYBV3Tuww^ z#p5xjBUDjgcG>RZT=e1nB5Y`_K%SXH0);NRSX~Z@B0JS+7Kg-pZ@&Z_?K#RMjRLaE z9QsXn^g5iFrpZa`3}tlRn}MIMd3Yz8NabID>V)#&aQ4jHN>@1Ai4X6J5|F~d!@(&l z$bQ&6uCHxx@|aa1TtBqris=vx!=4c}ezRX~3vW?Z9wIlpf9gt5xnL6}R2?=TX2En?&MSN9kc^<=FS&VhH%YJ(OU{G;*0hNJKpAsBDA|~Gq z`1%^}79Zgi*na}866Bx!RH;{=vIiDIAc;#OL6p(Z{p=giCn*8JG=1|0Ql*(!UQUSr zI+qrzS#Mkx<4DKZC6$eGEFCrv*gzX?8kWl)V(KJ+XF zcR!GlBG4AES`&IQrOdj1L)=5D_p@-KJooFQaXRd!p8v#8IGeatiX)5nK5K|H8#<9& zi#emHHTII&86$q=E1y{D^Er@a7i{#jI>}h!!i*Uro}IbiZFMPDzb~MAxFHu&zj5RAN(LZ!e{OlA>$;5+Yc2UV z(GtgCZ`E%=`ujT?xStfP!W^oDLuH;hICB3hNc1)m6e^R^!a}b3Fu#$=OAyO@7$#&C zJ`g1d7_ZSu;^N>GONBf?e|ip5IQ|k3y^)wp0wf!_?jH+XM)(T9 zMa__y>uSstCYXDdnTLW8fXjmD&uDmW%ClbN9sO#_=l_uTk(UQ*`EC@QhW8sfo^gtj zO$lI|rAyYPpXLDn(K4y0#E_&pilw46Z=S8)kaSUccvU61241p9498lc&>6wWxt)qj zF6Fa0xW9}k`cM4M(T(Pa2QHvmnu)&n{1Q;B|BRcvP?LpBar?zoXhCVAy!Y^>w0&ge zkitPd+Gni8Fc=jDAxlhT>T={C(@bE({J6*4JY|Q8KGXDxJv`Jet8lSEA2{0KiPg`3 zl2rb3aTZo_j^BOKbL1)LP8-upeyn6Yd}A*klR`z_;{PWyV%djGLhJ^|%@3}9n-Kke#2`Tps@EP&(6z{O1qyN;rz zUky_WEb_x@7TZJNw;q6z73WS%zbQDGYh5lfZzsCaTAb26St-*aC zZ4qgU(3&`!UY;B-iGxfORrhGX)?oY+tn^u+%tVKh=MIwe)co@*;t zQ$;!C@zzF4621~Ncf%wb4luNSOyi2FG6yN1l_L|n&QOVETY`*f1|>x0aR{TPe-CF7 z^7CJr8b_R5BPvioQNV|tP$H);Hg0vBH5ekZnvyWv)-yoD=R#vfjy%|oZbl^RnVcnY zvr;%5Az#-8J-X00Jyc)e#c8w~gGnpL&$hSz2f05+_Yb;aSd~$?a3~sj3&3;r#L?`= z@w&A1Y~y8F!BGAO zblLrNAu6i85n^sY;{BKGm7k&K7c`)omnskXaD1%vATK>B8!GEAazp->A3ncCI_&Z+ zSb7ZgYeB{==xFBZZzpQqSYET_q(clYc|Wn;?+JGV@ih1;j}CnFYP~sgTb1*-y7mUSPMB6-(@Tvj#Oytv|d5b@;6typz*cx1iGi}#a7tth|2rs6}vk2oH@i6i& zzB*!*poX&xMn%ubo>deVI&`)?u?z6u?HdGsXOTbdeKjVyhNI7ff?zbpVTtAYMlAhiF`RRlv z)4vx_LZ2l;qF3uHf-#9`DcFC5(vhyvuATx5{YNV3V#s#(aGtmfUn?;f?+!~J-T45w z8U>rAO43XxaBs@TO^}bQgtKk${c5dF>ttn<&CicxgW?(MZYgj38gaJ;p8lw?|IgD( z{;Es)K8%tz$qohrzIQ*FIUN!E>YvsTbNDgz2shs<$G3N4)Rz4h%w*@JVR#eN0vnKq z3^cm$JWIp-kO_eqfB*h%^O@tn41O}f=6{-|y)rJ3R(KGSG+CU+H+1+BmtSA8F2tNnP}z;WFk(XM63P!a9Q`Y|=RL5cU7 z9>x>HI0bIhJ6aaxcdUe;07ZR5MY?yCaKJpj=)@KT!N zK54w+2nn6Z$;#u*nHaKaG;8=P7AvmCCn4j(KiN8E=k4dW>`RTat-R(snzzkfX|Wd` zhZ{{vg4m~xE?mZ=SpRvGhr8z=3HP`DU?Mq4it0JSE!HI6>e^agG!`lw&>WUQh~)51 z5zkV6jQDnjHWnoi`8L#6gGwR5JdTVIA2;huH3%$`8*NzrWQ$O^q1R2FxqILs zce4&4!<`L3UA9kN9T{G8W2YVa`?g5ml!CB?2l#W3ArKRzZku8_{Qnw7XOWJ%Xyufo zSl^rF!7-si78R~nuoVnw)R^n&{mopW51-^$9Jg@e?Oo~^TI$2&F<;*>c9I1P;GeRy zWcxdKE!-=eu_JihBS`I)Nfax24k|Wy+NUyETWZ3P%7|KD8@nYc75P0iypO?QH97 z8rSIw?93)zei})JK_RE7fSML)*jqfw*Bmtq66cy8s&X{j?JQ zB;0zbz8?HM8JumDGT!e{vw!O;3a{kcgunki<=Nx*hpHx|9M4e2rnx^@7X4E+*|l2} zyxlsS(9Op?=!32-+!%hJI+atb#QTrMTVq*MZktATo@C?bmrVdgG+h(MgM?dT68byv z1|`6*d)Y9h17-z_xa|w2%XEOlBTbM|Q&ZD@1$c8p6%yVI|XXtA}GDJBJV!9vK{MY6Np(=R$NQA4uyhB!T`rPOnarkhP<6wGp}#~zr*C%9EOu~y=$l4-0d7?H(r zJVP?53%%H%jK3pmN!%T&QDTEb;G?of*Aj4c}}3>ZdA6Vs6*`!{Ob+>7ZGKcf@RY=bM_;wcUR60>`3?g80%~|BHYMd}d8hY7y4aH> zzcz=vspMq{5FeKKne&rk1+F5Z1XlE|9`tp<@2v$PIg@Ic@wE*SP z2W9Y#7PzsY{_E@#Br^;Fead(mshN7S&gi!%5D+8vdbd!2RxA;43)DKmMR7&?Wo_oe zJ)qtNcm_|$3~r46UpZMmsXi(`c3KJ`PU5RVt$4pTA`88a+^TfFK4 zer=5aI%IC8@B%PcaRZ0x)v4x4$dR)%v`~7Tn!G{P^$M4+yS&pKpj-68(E(?jCZ=rqUSiVM3=t_p{d1IyP*#JB_Pd!oKw>cDj(P z^kY)wK6cM#*>6H|73 zG#JGw_<{=i$NxL~`}+{c##Vz~O+yd#84$}|Bg1_xC$awGPWrSN1UMUEo8+b(W4Jgz zPZT4>$q4MA@qOHO`so#hU1NH($-=bx&#bwwl#~$L8VR5L&RqZ9WDCNh<^9U;(*)MA z71N4Pxd2qp$cuk*yrf_j{yz`59eqy4k??c_-QF(EV~g~bU*gyF?}+@28dkvdddl`l zSFCtxM^~?#J)t|n4?g)`xQmVE;Hs<8$Icb2Qs<)5oWlq`(`m^U)QmxITi zry=fc05<%73LrTO0D`(B|8WePyyJj7w|C?RW&?JGgO+|vGGjj6pLMcKPw&b=dq_&2 zZ&Bdiq+bt3Uxz75RUheh_05ig4iKXeTrjBn0oO+|=V|A!9%jyJpZAygi;0Gb43X)I zgThtOds217vjl^PW13oUS!u!hiH;$0pIQ|8_1}C5s?D1^fdA+p`|CyP7;lX?r-`Il z?CEDb&+*Z>oLmS%LJRsQw+CisdnAAQe)Q#m@Gm$a2_&a5H=zOmCGroR8TfbPb?>ba z0oy@9e-H$PfB}9Kux<0}yqAR6y)Q@BOGZd%94)*c3c$IJKbj-W7YeS$cYG$m<)O07 zY|{C&R5s%#pnb&vZ2ipA`9?>RPbuv+03=LmKs-GD50Ppaf)P5yjJ=V(w0_yQDo&(8nHJDk@aT=0MSHBOzgQ2H}o1Xq4<8< z5PHwfmfQC}af{H)&o9;u%ndu}QNs7Ef7vJ*A>0C@zV7Z8_3^7a{<>*uXaMeKz=kJ| zHWXmR{S#7#0RdP>3~24FdxA0x>pb2hRejBKT{4yhTtFTY9Q|Qg38KQs3sHkBv48tp zs>VKaZ?TC~eYsf-k0`ZP6f7=8$$8b71{YIS%jrt}#_r{&-%x6=k;PDt}Wx*G_4j?TL-w{9HcIUf3x`>sN?A>FQ| zoCrQC?#?2S15$8OKs+5Lv~?7a>0R*T4amVIhtNfYizAE(<()WD;UsKVd{d`W_r1AL4c|9L}Agq1}Ld^+1um?oQ9ht z*J%#JiP;t3u?%+n@yx)EQA*&tB?<5j>|n7hxe5HIRP;c^cs4My;yu$4UIar)X}z!` ze9X!M3@|-VLDo6gD+p*e{9(k|tkx2xw(ogUh=)JSMRVY|)4elj5|$tFSO9c8-f~6n z^B@G9TE}AmWfYIVC*Mplq}xnC*497_O1bW-mufBEnBAgTC+622pYk7}B}n{P~7--y(v_K-)r^{_N`= zNT{e9l0~7PEDrB0?@?vvY8Z0OY90JOi@8Q9j;`m(yueB{n2XaITQSb?&7?fdZf#n= z)0YHp&`~?B$iQoYbcs@wpJ3-FVv1lr853d^H)ql9DcVBy;$jF9)Nsl>vR%H#^zN;j4l-Nxz&N#$Yf!6J zb#uh~`w1a)7dif?odJ?OM^o`Y9E5O%yn4*a#nEcO&u^BV5WpCdV*@?k3tUqeACNGEDIA z5jnPM{sXjupREBt82K1OW84v5bGs@i>XV4Hv^iH!{R?E=L)SK|C!Ql`A}R{;BcDxL z6fn4Yc)%IL8}6Iz*>!5Q7R&jUfyxd<6UFq<%rr+!4&mYMl%>deb5bph<&7*3CCkAn zWG^K1>aBlA{)m&LQPm?)ez1E0*z4dq-|v3`{MVlj+4U(1Hoo`W+0d5Z)gAWWuDTml7n;;LpbEDN zt4Q0e!1lAYdO;^AlK6&PxD~11#CHseps-hSnDi&uKX%F;IFqoscdsZ|VqiABc^aO(^#P@L=nFgExw3syc-X-B!tO zj{M@fn`VKF*}4B42e-$Ljh?}-Q}+F54zfwL!4DrTCBLg^5&*72{VnP6e;y}D@__|pxXm`z4})_U8Kdu|9zU%)6*Usqu9Ja zdoR27m_{Q>kO8#x?5Jm7P41Z({;_kOyI~N}%&VJvgU#$q@xnbr9{I>38J_pb_fx>R{Yefz z>7}PTjg~B+d95w&i#@^i8-hn76eM=}<=yu8gf2|F9y6@0DjL*bs^Hd69!#oJRJV!Q z-c$`qS%DpME&(*LX&Cl88t<{CkBBT@GFJZ21J&ih-4I{&On z5U;M`Hold^n7y}(Kaff(k0fEUG3nUGUP>KR`QD4ms;EzJ2g`SGS%euW;JurIEUSEI zL}UA4WBuVHJe+bLKxa+Do$S=idaI*Av20SsyxsP|BHSwx3R#_e=t0l*-ju#!uW)8j z=A}tmyAJmA%a(q8<_3ray>GPBDSxEMtpuo)e08h$*2#X?-rdn*g|wiMzMapkYL^f} z;l*5bQT=vkZfnwplynqsd=A&zbi@}0fi<|=cA1>OqbQ^%;;V^+Z}0PlqH4t4_2y|! z+a{J{lWUrKGaQCIGX!t{$e=iaw_wfAR(MV{pQFtm*Es|aQ=&WDtqYs{_5=DMY$M&o zdz0PmSER3lPLk*6hY#eFIy(cuIcRGNmUcLPcBA&H#A}*^qyugTFK%dR7hdYlIsnOf zc;}f|>tjg?Fj|7j%gYxQ7J%1ckjy7HG%&EbI_!otjGjpm?-}r!?+rP7mB?KAXHsi= z2LXGxR?yYrwGN$HpZ!)r|GT*$YEgcV)p`Fyd47tBNxw`U7%rKzrT?zSM7|HDr$0~P{}hF{?-xZPoY$jpdV#Q~jRr@BH1>b=7m8&*zQ%e%**1pf?NEg(@2Xzp(UaLKP;N zYo~>MKE8Kk{p738_fts}rqw@@Qc}9>F~3q%yc8{+qS4f5gHJi9sTptTy*}#(}6KQ;n>GIMAW-wElu8XYzCgP9pt)wRLoY);b%G*AOUSMdf#~L zvtI*~Ha~Gq=~VP|=YPo1oR_B!!?)`+p!8=~hZFW<%Er>i#HHO7_>L^9WN6s8AC^ilRma2M0m*PKIYTAIF3h?Za2>n;m;b zDqqCj65jRI-++#Sf#&egf_wYTHYPg#uyr^V*I%;az+yVPb^6G4^2VC2xD~kU{YE&t zyhgu@+gp&7F94%Kg>WuR-Vw5viw8e|xNt0dI#ENs6|zqs$F1y~-|v{+O>4S2GtP>D zkNPVZ4#a>ncLNzUwQJIa^-PC$l5|Jbc9eoCy-+23;dez+xQ@3cFzvhqAtlivv8yx- zo6L%yhb4>1LS*O0tS8C_VTpQuHj7t#Q*Cyzf5|8zda~> zId3CVFLbf$Y@)z8moO$Q`UDVC zR_&VsB%PC3zaeCo@a74EDE8RvD{4_q%5(($0{{q!5Y4dl-h=@ z)*`C^Vp^}cQcO-lnGogz>}pS`s*7KVdyfV5Pi{PRyNg;ZNth|IQ{>B>oy|fhl}(W_ z1C(9fTh)4nVI0f2lBz=F&@4hCYF))`(STpjyy4Z_{hYN@+S*HSF{)GY*1lptxQj<~ zE+_VsAJ=kiB;Vn*DrB_lePS6MInUJ62;=;={`2UH<^Ub+^vfJS&VS{->xFactw0{o zk^}4s(7|w6_wz~le-G-s`r_~L@mw)5a?1PX$rDmfv$h(y`}2!-kY|I62miHD`~IdT zs-(EsgP3n%#w(g!4^3@3d3`_AC0P%5&k_{H-uL^ixHs}Y50#&)L;H5GS8uh{To zax(<^a$oi8eRU;8c6)~jZDcJE?ZOCwAKFgq0js2z7-;(7pmJ%=3^RSYg)KMx4g_qZ z7C-V+1?C=xN_Q}x&t2uK5LdxkG-|O*zCDSkxP+hb7;k<9ipi(LcTYFBr@c|rcX-E~ z6nzz6Z4SPa%y+Q&xT&?9K7fnd^-z!BPh}2??IaQWDX{Gi2elzKeav6x4dAoIBnk$r zeBa;v4w<+5?sbeY$KG87vR7=wKYiiPd#Y!2KkC-0Ty|h=!QU5JYFX(yHfSCnSEyhY zauzs1BYq_uI)oI0zpHk(Ugsn|xP)@HP*To02~Erb3{BL@ltyt@~6* z)e)iHA*a~-|GIKzm%}9@e~EUgY~TZUB7sNQ^2P7le{({5-PTdb3SR$!wPES%ZskqhLX2ohXNY@IK&w>1ug zL;5~Zh5bmEpL85>!8Eh7Qm^?_+2sR3^H3^q5bY-V_>uR-#nZFJ0^654Xx`xECF$kt z@dhZZV2&p6hbA7fEFo~d4(6?!Zdm|4F2oAmOlANRxrd4|ikP^(a>)i0xldjb%rnr6 zRC=iuLZKH#%ywZz0}niW@$T{(ha4r&m=o-=ky`QLCbCuXz-g zYkzOG>N>qAe~>m|E|GS%?M%w00L@pU9`C%7uq71?ID&z}dJBB-#&bIk^jsRE*!$Bo zd4;e?OND@l$SpjqWUPScbG5zvKY3?$KZbUqAmPb{g_Ib8)&TO#V`i&#-1L3o=OB7? zR%TWyKpygxzooZj%Fx_|^$yUv{uwI1s>*YpX6V22b(-+1CM!dmuuNv`73%!zqSj5n zeY=Udl+mf{=x`8;?PQFYytH{*D_^Qnyx9A-zMDBlhaHA&94Q1|g}`gauS&4nHoBFI zy8Po<1h(W)oXK}d&{NgX{=Rvu><1waowZ?%()$%$+x_6kZzWkl(%YNiddb4w2G#8&e`*`PSeU6t28S4peUM^0a9* z1i1M#)3ougZh${GeWN>oGUsbT*P$06mh<<2yBemKTS^|4+O3bt|DWM zF|r*Mf4&TT1B0q18{X(E!^b4^;2Vtgaov^FiEJ^@K@%kVe9;_FweF5Qa3}pyQo4g} zAwmKsG)<=Lbimfh9*+moHn(mYvQ2`39f8>>z~%1t)#+B8-`VK7@h3jmVVMT>Ww}CG zj*~%OQ2T(Ef;@*U6BF}QdSA+3f;&`4yK`?_C^l;Mt1auH zALQPU7sWsvNbLD<{{g=k>?;yP`tr#v-O%B0S`PwE@X@FBLaz}|vXyq|@~p1R(NkuB zD$$FhIp3JC);stWso zhs7sV@n>k`Uw1RLVTGRw+Lq3Z!`a$xwPYT018MElW1mNIC?RHl(c67Bvj|@=`BbEC zo+K?phZbR9ehw#$w@6D9#K1?iq)%CRe@T1=Gl;zK$Ug$gFy8REN3YmkVuS7docE_3 zmngBfs|1%udNf8Hb|LLW^hu7@yBw~t4;S%fT~$v{D$LP*`@Fo!Jzai+*N0QMHT zr`QdjN@^_)w?=2w1JsH{DrkO6Y=1N}=z@r==HCRYTqnV+f`UX3wEj=}5tQ0L$l6XZ z&Pn@i{upQ0O=<6w3){(gt9jLr(9^v;*)niF>~+q|XHNcF9{oYXgFt-PAh0P*9WNv$ zBzv|&<_|^t(OQk$FbUw^*BddL$QXxS$$==okF!sSbg{e-}A(C%K#Z=pujO!pG ze#F7pLkMF`UagXNc1JjdGh2)%!3q=oxS!JWYTuj>nwx-}tE&NVdQCubK)XRTaG{IH za$97xKtzA62~K>K4tTriCj2oi_Wqd|frhc0_;#B67Et;bAB19?fl+bvbWz@cB|YqI z_q{Yn5mULv`-ikCYe2&qp0&GfX1@&#v)O6>vp?8?-cNI0c{uZPPRDXSCm%KeUcPN7^bip9jU zMmF?dr#6>lNeSL`NjiCdD`c&J{t<(dL0B*$9a&3QG`yU_DFAPBe*zqZ;j&bC%tKaQWA1vL^Mc zm!AXLfbIXI{Ex2_n_9CPP4|wqGMCygN&i@Cprz7TtF>_vwGwPYlIP8ST8(+g*%fEH z$mP6G)P0e5#1x!(H~Lr01?zM}DvY=CQ5K+1c3nbesJ#etb8Ee;)`YWXYhS(Pi?p)|5!tkuo?f(8X zBptm>Xw@GKEvg+}yVm(@UbFQ7oKqOTss#r{@v?nz_Hlz7P>4alLP%%)fuo5Ly9C%I zg2dp0C(1rlKnqOgA^{0`bIQDeOJeVIQ7t5Ti2lt?n(ZwfkcJph4dwISo%hY7{Rzcxa!3-~HA7XKI$Zdf zhF?GtQ7MB`Lw3+w8@+yh9=!t?J%ts zpAEw%C2{m2I2!JZ$$QM*l}tJLn4zyC?Y|=er4){}-!{5mJX%@4-vJ#^P#M5&S)UMn zIj!eh;pRrl3Oq1PcmWJy7u(5;uI7`#HZE-OgcH5yFm_(SX<;J=J^&4Mko8N)&h6%U z4&o^@O7GsUq!GyfB3ZlQDAzy7$#g%<7Q3AO_mi zM5^vlmm=l~DP~+%Z(EZPh5={XfrP>d2-Ds7Lli2hqxRaf;Mx!ShebU(MY(xHI%!)j zSuSHn691-mHV*4oVV_)*VR(SR)31eunTT-zK#!Q_3q9VtH5Mi z9`riRspEZQ;A+$-lHB5$X5TWO)n#>S_8R6dkl}JTwPg%Kwo?^e~It{zt~TmP#MeFeQqe zJlumfJHN;_OH_?13L;fdKULQ?>;v45d?3$lUG^uNh;}b}wf(FjabE#yk`3^IwMAiJ@4S+xRf4C9$j86)`U7DmWj5b zXG{}g_`^`Hkw*=t3aQ@%odfmBJjjcSkUY8@NA}&-k5K=bGA-VC@P4Rq*CQg>E=I^m z8#%HEXAmcwR_$n&OI^f$EPE0?HFB*ydNa*|#Wh_C^n)^7{AqeP1viRlR4~Exc}Vu* zksDc&(E?ozXM52}Oley;{#CWGXg|P9ZOf z7c?`fF^o`S;y(rs$jb`t(!+36`xbx-)C(#zV0DvHW*dvfeXO#ir*yMbN5VlDNdGyySbH{cpXX9he|qpuoW(6!DLF zm|ijr_~eAn7L%}8J(;liMIJ?X_wB%&Y668ByVhPF$l`f;39ME`&SazksvST|=pVHE zYvwWsvd4(qE%XF>&=LhwhlcpmkcvvI&EOuo?kofbl|sHvcoC{Bw>zSyPCs>FKnB&# zQ$``<9O;dPUAW|Ki3H_iO5MK;IJKeUQvZda)4Fh3WeV{n>`0^$6uN=(DA7INzWR(C_ZPO(7rS4bUo+er;v#YLK14Ewlc58$?uU_`*gjQn1r`3#t66 zi@~4zu`XY$MC|Ja5f54?{r+3EzBE&Bz2P|T33J6F$6YSf)eqC=PMWc$Vgcev9BjsH zP;%?joAOXlJs~wvJwEJ(;5PUlK7U_c>g#zP$=V91>z&szZ!a#K@P)2D0?*YY$y`zu zS~izajD6`VZDIeas0-ZY|1@&vMW=@m%>79L_oPGZJO2OD&Qel7zB3c6v^vUH@`akH z)Q10GFftXLWe;Qs%!iF1vF88IX*Rl>{Z_` zeth!CCY?AnZdz-3+LndHhr3{A0&~^uY?834#NULHF_~Gf+wJcsgs;!*LxPX`q9z~4 zK3%YwIs*x)_4+^iQ3jA}wdiMX7${0lUP95XSS2->T_FFVxV z^TF=LL>~Cy4}`;2qJcyo?wgn%DfxXUlEZW#k5@5aJEmMX)Wq9}7hRZR%bn{Onh|)1 zbYfW&tXSPR$?^xy>P0(@r_j@WzgC~!BO4{6+A&D^5fwXQSB%#^qdp7ixd*jaAJM4a z(Y8+A#ZMJ>%`6cIXxKkG_jj-1sn95`NQ`^zM{X}HEV#D=k&l6Ifmi~d9tCNL5;r#i1 z&a+VPh~}EK`-+t2VAgqPq}5b3C*ZOdQ6%m&$#O|Q(N;^C-JO8um#Nk#6ZC~MFo zJ!f-Sc23SqWhV43f8HfH$4KB_kk-k=}Uw|!0^sjp9pryJ9Tu4b4fJi4uP;)|xBEo!h27=OO_?|#d zW?m_(+&ZeWq!;2;nwEcS~{UkqvEMLDQ}H9}oqdk4)#vrg&sUml!Gs z*;gbyG{sva(z^vPvckfEbj3hZxIS(nT@YJq4*>DiYCXz;DE_u1lLta|=pms`R>R5=)JG6?oJI2@ez0Li1jIAA?&Glv zp-0$zHQ6Y3L2cVsR*(&m>}#MsK(1&YMzsY|5p7pxu>CtMxNyv%1qV=zKn3lEKwfFE zLx1Qjj7S>}Ob}162BXkev#>9E&ti{9JRniT@BC#(DaA)lu7CK{Yk8;m{IjfVt=T;< zs6lARqDfflA0Ouk(v&nLe0~h!y-ov4Ei6npU}52hkQPdf?;%{|X?jL%=7v=Q zs$@#XXr9U&pV@)j!LWNR6Gp;DM8t7m!(qTelY!FmR)7MdKSm-l0C-3M zn!N!|PS_WG|NSxECvRnv*{!&f$n7##38yk|cXxMR-}M3h^$7olEcA4FO#`4Jy#-cO z)z`fQzLvCfA*qdA72c+nMgGhC1mCX{E7XWroR~j#*t8T-Z@+PDOFxVL;Z5^|^;m-< zX~V&b+z7Akv6He%mWj(vWx5m$?`|D5wrkm&m4nD%bJZuEth%e17-&}B- zBvgWwR?Mo_PPRuxcShCT=REN^HJpaQa@t@rgyv4AE$8cE$Ptt5j-I{I9}uSQ%5I1$ zTI%a#G`%38@2n+Qk_fbACfPzcw}_z0cJ`v^yFyOE160*4-2sU&#Vij9j)=R^e4=o- zw-c|^MxVDkQ8!V26gfR!-y^T1x-rr4{R`AK9yIiNg!@5F zC$AM*Q#AdzV{uQXvg@!E_-VogHT=5N-MXNSR`5DmGjaOVkZ^8Wa@!m$K1L=IFE#lBk+dLBR0SpX*_mGY>2 zPRvZuoW()5z;ve~#wBOXn!r2(cm8>Dk}LQnK10f38%kUj z8%tOYtvEjrSHNBS3S16D)7y`jqX*;yxR)g6B>eqoEy<&CWWc!@CtcF-5d*v;unTP` zpn;CKbUGS;$kb^5n7~!uU;b9uZ64AWZ6ltoY}C0lb3_k?nJm=-l=4w3`YSd;($fKg zliY^Fm|NBMAUk<#zheILMAOmOw=<`Ah)?%yiba|(^s;y9vCI6IV?A{Ofj?TE?yqWATa4jP zp`I`>-Ks-IDI4j0>hvv7gQoD*9V6P&il6oFao7|T5V$n`X0IKpuQw*|*{E|xFB-(J z-gwbWGm9}fQZ(OcZHg`WLn`1At*kPt?-ENST@IQ zi%}DJ(srK0@zF4F#=Ue2>M;q|46grA2EL)u8P!BFF&&j=F`93P)`89!9FAUOil@sx zq}D6{G{)_cMj_|F;?__z$(j;it}uQ@b_!iKM~MmU$0#=zejvncA3>80WB~=mGQgaN z-WcBPYbt((yL|Vfn1C>3CIW+}DJ-_6n3k#HymEl*uX8108`C4Zb0wh2-ah;n6;zig zyiN$UhPN!VU0T?H8OR)JSb3^+If&%z`=p=O%rSm`q==JBld1{Syn)hc<4f`Egzu=(B5xRtAiB0WV7A%@5{+@{FFSB2FG{~Fc*T3Z% zZBz%4ioLAG-uDmi80&o`$rzF`6V0hyBIOwGkLvn))y9`Z`TjU8p}kvt@cR+~tIZLT z&nr@#u0IlfA>sqpr57vp#rn-W{x2lCU=v<&p9fzK2a1O!;8MBRZuAg#@0p$k_7hLD zJ3nqnOyJ-}2&V*prCT2^q+6O29U-jasg)X)&lo`O1x7!AGl$M3JjQd6IDt~G>2O~~ z-@;h?*dH#X**CarSXnLDpAo3xfEo502kEJ23K0EaWP)zQb|e4jzFW9>E-Qh=NoH2V z^213s2E)j{?^6~kdP;iWbt{WAd`oRBo)uf7Gd!=?j!^9q3t05P-hdCTVWU`}Z~1wy z&X{RmiQV%F;er-~VoO?fV%^xsh_=7;nxh?c!R#_~;T)wOcD25sNiUxK^t>Lu68xfK z9e+u3kGHLGWCC5kPER*?}uT6f=DUMDYU<8cnDszr$`pBXe zvaU+ro;e12CM>(ho7>wxfcpo=gIxdys++xwbcls2 z6z-~O_0GRMfiUqRXhi-Hmb4;_R9@E~$MP|2FX#h}TKoSYD$aN751o*oD6>s1e(d@sW zS@jqi!_i-nSS$~8L0^Ef(TVF?jK1dV(5fw}=@FOj2xqSZl8Y`id?b$^4>$;y`xG~P zZEOy3vx64{?y@>(80BA#)^{@1YX}|bUF^ss|6Q{xU2%dG%D7jcxGre52Ep{yOh>5O1y*D(~x-b~HO^LK86Ds2>a!~fgTArmPgc!fk1 zXOK;`#f3(V_x&T&e6F)WSM!#dwJqwSeGfoSSMqbee|&qrc&v}BhBk6*+~KQrAA5PA zv}|=cO_{kBw@@7A&6wuR{31%#(UGjC6q|n@Y>j7Bt0iXXK zlNxqwTbt`N6Hj}G9`FJJ6qT@PN5eUo7w_yAbVPz6KnXnOQ~Yz{U8%*F5&V4wPJ!XC zMvipJCkXSRRfE5`Q#Y<77 z`vZXCfwoH4E)qNmjsErbtQXdj>ZL2fN(FqVz1zN-L`TBTOA(4C_qCR&WWCUX?4qcO zS8I$U$43j2v~l&poFF@64^#r)SkL-12xE;f!Kmp!7IWh5w!dTEqb`@FK$4)5odz_r z_hgmp)IEON<)% z72PDR0~eqQ5k>l4rRxrfhz^TSEPG#Rc0a4%_~CLYVr_lv5n8s3`!(Yk;Orc1QA125 zo^K~5lWFC#bR89WlKU~n$okZ3@dIC(vOSCv3D>wp+npb<5w1h|q4PzKZ6@T}h%M5W z%2EJvgle9kEBuH|bmYk+lrp1Fmqq*tXiG|WNA=VxwI@sWec=xJ77ax}7!M*n4 z_d4phg7|P^?E>&pR&K}lgS!7+3M{Gn8*&OsR6sp$!*!{ap8- z`rz~wjX%94`lRBb86+?aiWzhk&GFL0PzTC<&4qpE)(!io683*|%o1#5>mK?ZSCHMK zqsSE=enqBm4l>M=1G|Ks%c7v~*YcxBr-@(qV@lnOG+hW@G!jg9p=U9)z% zbK8X_meBRSdHPrg_V0^kvJt`3$?Vo_WCa9EqdKG83r?}gQ^-pei6#qEGbCCp(r6E$ zvOPQ;k2+9WxgiHe0|^JrXyvVIzd0stMK8j)z+a?i0v>$b8v9C~0|MVdoXJUBtODy8 z^=*y=g6iZ=5O5cAAO`CHdCPt87XEQJ`vr)rBQ{fJn&KYwXGr`5cHI>kEEWQb`>Ji@ zu+XhEz=FOC=2Ixs)Ei3rR)MHQGIn0UM<_wmC~e+gC8`m5(HVC+*xIP>l?`u%POzW3 zxq44k2o&y7TOfvTWy729=XcfTIZI&}yC2RT8F<1mSf@5)va#6zW@qsKN}fryDaBG9 z=9+D!Ifd{4w&_G5Vku{ao1w8{3$5!{or-%2)$R2iK;NtWErN562A{Vu$?*8$6QjEn znmhbA%J1SQ)F4w4&6F1`2XRS+YpAQr0aVHSWihO%SH?geRCQBf6>fJ zRQis?7{ytIbs;3^!m!XoG)ia+!g*?2_-*==Q}4w7*iHZc9@5QxN-lvcqdB9T`X?g3 zZXj>&tNM50dWkVkj#-%8plmN%G?b_S6C-llh_}DdpZf0}+;x%hs8eJwJZgJF2TW8z zk0{~LZz;l9eXr!ZJN%OUw^*}-ChR7F+vfA<;d7pY!$BMR&qj)H-3061KKeaX@K~Ns zPTFtxfAarMKl_t>?ci+XKLo~=)q6t-KgHkF1-V|7aKB8>xEd0R?XxF?u z4JtMKy77M?VxIR4HR@DOe!%sFR@WWe=q{Vi{?u2 z#h3psH*2`IDnb+D^37nGW2JGCV1k!V@_^N{GiIUk+;&|0NLuI`#qp3w-^}mdKP6&} z^!zNq{Y)tdn}+_9b2_7p#d9d#!^5-1Ur)b#G4eXA*CeR zjtk@5UylhQN3{R{;tLVw)PqgXMWSQ(t-6nGLBBQmU1?Twxt5yk<^7Q-P`I7+-mRrA zRXm}6Sz;c*dDT~4Ea^Bfnw2-==URGc%-jE*7~WaPV8ZNb*~yq~V50d6-& z3-d;n072~XTU-a!M@HfOc`|LfcCT^wy=*??zI-fNh2{z*t7Ylr6d5Zz}$CGg)O zeH%wTYuc-}jHbz;8WSTGSjKD{JwcuZO}HLDB~?jp;{B-VCr{m2SSaM6hWX4Ah8!GM z$+2^DVja^UE3Lk)T@Iy)T{w^G=Z1PAj&v(ZJ{(S`Kf(HOh^0o@FKB2R;6I>f5h#wGl2O@cS&EFSpOdsr`Du zI_=d+aiCwDkZ{UNd?bliZ6$990d1$nLsFA1v57vy01cb@E zf`$O*>u$?_<8Sq#B-Jj-taLarS>+=YlM+D;t9vg37C%5cA{NyuR!YNJ@kD+G3HkAw)I z3tL=wOG*k9EPa97s-Uwb>d}5o9Y@DEa_Uw57u+V~&01`MF($Z&a`Rq&=Y1DE0IVA3Fdo>r(f;l7`EOehU3fwFV6I~kU1KZZ z@wDd8d}?V>K=B<$qG4y`|I92+&Ap=!b4b;Y1)KkXhyOkD4uV@ljfT~QO(+t4J_WTt zTb`G8B@2jbL4He7#8HFLuPpOlwqANA#PG!th$^Lj&X)rLLMtN!FyH0Oj?PO0@hw#g zJy51c=rp0CYAY`0(ghh(Yx4T|k5?a3MTE?580~!Cr5g2;>eGR_f&SX0h9qpGzc=>n zG*3;`%WP=(Q${!7+aAJvUV5#!V1q~r3JC=hVo?xH*H&7UZP7y2dMRKyMG2 zO9~0;R93awAB+c1`A^j1U$;)5fLeePNHt<*F2=y|!qrZ>T zewrce()bqAi|?mTvX!noJ|f?XntF>3zw5X_9yJE(#Xz8 z^z_or?f#PIqSw+Z27S-W=bzxldWc+Pmac(D zO1UyflyKN6?H#=aKQgu0(ukKhr_eYiq#j=fV%bT<&28jF+A5QmE$AWwgj(NuPiCAQ z1=U7VE6YN97oz<$)I^pm1b89>4A9ap>HwYcx*j7((`;HjvgPiK1_C!GJ9h&Tc~D` zbbf*NLR1Kl`93_Q7tX28BZ3!0Wn-HqnH>&bub30vC@fNxno!PT)QV(TKaM%i_p~pAKgikOU68t$fd~R z0x?6jQ~n;+E!k?!;L=J|4fO?f^QSe6I+6jMb>jB*6mkQ?qN)qAW>K}WLIg+$X4lDi z@oelVbOKg#U*yI<;e93LQdsAoo6^6?MTeL3ws`XMFh^95e(&gpAQ9q>KA-YY@AX)?Cfn;>oBY^>sm=#{4h<3+JZ4 z^su&4LE2#Yl=G7@;vwj|i4dnW+O-Vy`=-D4ye;p(qBmaD}keGB^Y8^KKAsgy+lKR=XQ?~%PLQDAnzcWx&k?<@Bl zz_eSxXL43bnI;nM#<9Xc+kSuA=Lle?=@LjMpcP_WZJ(P%w6IXV>;k*Co<18iuemL` zmEA+0S|c~R1GXB~w=!0SCiFhLXX$Q$dcCBiHNXqAr8kXYL4{G{DybYkg)qCD2O5BWElf({yAM|x*+Cdah6G!G|I$f_jsB=ZkAHprRU z5pQ_6(;!}+|I%+=2Nq)-TP8AKM~KH^mC+2T*xFy;Dz{`J(YTC59YyNU1rQ~_jJFZW zkuTId8zpc=tQTWvO^eEGI&}Ca@+PJ9h34X&dwmV$baNo>yg?28kEoNf7gB?)`f~dY z5UjYeH!x0k`d=^noVU6I3{h}J{UKT?jJ|-WViJ=6pLpcpY4{cfe+;^t|+ zf3tOqQ~3c?41zU1sjbCZh4EqL>vvGSeY-jjc8Zev*RNkA#1KQg9bTd4!*yZs@&wo2 z85pu$!)XIQe8`F{QOADmu%=mcJDHU$JUXUIXrY#vK;W{*CO$=rvlTFQ$~R97gthea zC8hKz-g_I`ta4iW7?FpEAP^@DNMpELtLj_<2w><5;56qWrR5{CW&hft`; zVv9ZN(Dk$sf|&D|vFDtG{?4#3%SmkJ>QgVua=;awfi7&)=AxjKSv=#)jAo`gY2~}q zLYZS|V9@rR_%(MzO+9@QG(21k1bybE`#tSfOBaAEz_#@(6Ci(wW?Q~BKobg_bgh{V zd{RuCIU>akP$L!`FS)@=Dc4}boCUKJszLrJBtd}y!miDg;(p8%hW zv{~e|l%H1i#PoJ*b%PG93cZK6cT`WXRx}m*+Z~Dq+ed5^(`e#fAN`8vd>AJmOkLFg z_ctbQQR7oid)igik7?fGQKIB1eGN!l)1`-h|Amyj>BNF`f1Zpfd>DIh!^JU^PSbh9 zLOSYX2|uV&$2S#uqOgPZXx zD%igR<{H4IyNGI>+le7BjI6x<^+o-mjBi2@fatA6KRv?)=#i?RBWsrk8?xE8Fof^gb?jg{#_RQd`0nAmd?+76r|YR~G+G?CA1l8`TRfX_>u~GOy3i zaC&^$XJDId?ifW*@|+ZhJ$s;1ce;~)WUgRmn0Ob(2V0K=%@{i7ry{^ObOWjTB4e?` zA>uZ^&pxs4zDC>YzE*y6b=5mKI5hF>-);bVj&>SV4_&XVd7En6l(Fy3+$4PDV50iV zrX@&Wa3Bl1iJb=S=RiTRijl;Rv_aX%!3%Y6p3sA2a(T{?&_Ffe4MF_v1ET=k%i8Zl zF!;yYlozz~DfY-_>QE}0m#=n>yXucEPf56rst7IAl;OW(6BAjhp@U=5P0{h}U8RH6 zKu6Qv;gW?0a*hX&5Of;yyrvN>)R3+V zFMcS&2*E%N%N2;nXDUNjIc;fR1p9srDE*@yF!^{rfAy&%4sPgJIsv1u!k)E?h5`fG z5L`}tgJJCp*3wQ4iu|E+Xu?C}4-tnG>ea2YhKg=T&F2R%yOb6EUt0crQ2*Wzv+R?U z4*ej0>aJgGFA1KX_&)D?`M``JQS`_BIPk<~E8~Pp0yt3CJlfQ|dP?Yfzj-#0?(}Ym z1hcBOy{Sdd(e3-s*LT|T00#AgQmY?pjvIenc7#OU(kh{*|Sx^kM#QH68diWIkZoZqSKSG4x* z|M-yRCx{!%ACH@?q2|9y<>5&**F{!7!Z4yM31s4cnQzK)V=(jZYvwZaZsHakGbg^b zO-*;Unv*k)B^IU#XG<^W-#0GbeTsWudk9HYuN)Y|vQ}}mPy)yNQX?me_`WfKH1p-C zIK!>pu9*vbR5Iz#d2q%#gkg`Mg5MS?1wn{&vmrdHPT(Hf`nNQT*}*Z#*q#S06p~1z z#1IE2XVI*G0#xD_vE-wGc)KP(r-1r((pli8-sspH2T$=Vt^_Ya!RAh9>TlPrw?Axy zt0{4xDg6n5Jo);&xv3khdUyVwPP2^Uk=$AX8uiGD!x$xVz6{y|@?fh-IeyaQW+7?5 zkG0fPP^}j+;=JF>W{`N>M{cuR_{9^anpB^lbLz(`_+F3kf|8MQvs+WdJRX(xKjiD^ zY`&x%s_w}KdT6j28|m35TbQ`-mkr+_1J)TJ8)uJ3g*hl=lz zjfb;N5HU5%6|H6w?v{)h`&^PHW$_rX#>W0kDK1+EnRmjH(B^4a?ea_8S;#6fGkZiH1-3sb}x4d5O-dJ*;BTVF$>dSD`gY7kyF9FCM<17=b z^zLIk_=G>hc8eCUmN>^{&n=j3pj=TUJwkT^M=4#9DQ-4*0JFWXr)LBKVQ9o8H0>4z zTlf=b4~MVkg%l4v`rc5p9KRjeYDMsL%nr(aR$QVBSfU$FNgokc|EflDlthdAM(m2D zgGi3&Nj+V-CIuWB2*hlUMM+QH=Tf$VkPF+U726)Zjz>W8%h3S^C1orjYaXaTZMP0Avl99wChnlM_&{fJ$=AdnA8&s1+?EWJqmkZCmi~?y7C@<0KOkmvL5H49`bF}e1pAo@*@}R zyy2lxyV;NW?2%jqhwDp-U*Z;V(3+N;CR3@_VaD-qtl>x{s@P~{dKJ zIN?+YjK~UyZ_Eh6yBIaXFFWZ_B*Z~()nZ$|r;#~MBJuC{c!mq8`Rb!H854>S9{)^1CqD^5{3H7p$z2UdrRq4tjEII zE#h*H9wj9?IrMV~y;*lX;+h@i2)n;Pn&fE;JJyQKCL4^7aDCS>gHA1NbXhf7cnI9! zI{3*Am;w8Meb}7DDl5p>Q;#ejEkAA7Nwrmhn_qqT498J|+T1vKJn8=I6vQKaf9#oO zb>EQ0YKZ)~mOx;VGtZ#%;;u43iKCA9XZW$9R6Jm5asrqHJe>Pk@`XlbPgWgIfGn13 zJevo?+@a4S5+~adkImiP?w?Zg-ihKS+50}#@;@>b!+5#zWt6Wf`(OX7?)JZa2zbY& zadvjDF?gBuC~7+sa*MxwaeDD*sl%FGsQ_MthzP`xANqsd$NX!Rwh0Ld&znML(u4o3 zB4Y@7=K4fKMmunS0H=%LqsN~z_yHf82!eS9X$wd%;*4#Jzk=sCu25Ri*gJNPfr^YM zN~u(nKrF5WVnH~JLX0X1jpPhpt`wn$K7W7x13c8GQ8&>PnPGdp-`rl)7ydNhxUA49 zkJU)OEN{k2)ya-q;V`sBaAw$f<>jg){Qa)?Ja7*WD=!`(J3UE{;vaT{LuKWthdgcj z_h9uP3>^o~qXNXzH=ap)LSWtZ32TTyA$eg9n+Tk3BI}jo*=&T3@BJm(DGA&&J< zQ-w|ESrZJI5E=_ElCXN$otgp)HlXoYwsq%fl7l|g$sPPXLZN2*vn{{9tNT;3;>g^< zT5cWBZw#!H%}z}6?;l+h48-%Z>_9UllGe=s{N)2abzZ_;6pOtcCjbn=gBP1_bPr^H zusG5v0Pc7a575F7O%c!Sms(!%Oaoz&_-%2djX$k>l&jB!R$IyS+m*hub5ws{xPW%F z6g_g=Ko2dMut4pm>={Uy#P6|_;^bmZg(W{V+a6F78B_ZF+0L(jnp9)rIuS*Sx}`SP zeeDJ=D_Lsf7gBU(P?afe*N^<*Edh;9%~T^adF>Z%oAMJ4tPtmsW~eXpUZV;z=Fu6J z9ap(e#f#$~6w51s1*~u!m27cRSa>P;j}Ek+X}fK`H(Guxy3?f=*^_@ahRA3i_Q$brGCX2) zj1S{~9G!zho?jovv)$4%mbsR#W%p#;wr#A{s%7KJwz=F|wr%^pfA8}jJUaI|=X+hB z4|pPgVwC1mK;4P8$Ao$_SYa}b)E6B-B!(Vw%`b?$rwBeqjtNZ`-^pMo*+#{kEppW? z{^r1)r+9doE`f4kHC4J9$?*TX6_4j@M}0lLx7P!qoC)(T^v#gw6<)6Pj*f5j|Is0U z{yFfvBs1kaA1hkw(g+;y52uXO^Y&~5NR{xVObbgne!R{<>_>(GSts3d6RVWNv ziW5@c6bl+xT?Y(Zr%N1LrXxb&g}b5mBo>vsTtce3xSZ|D)7ygu!{uJ;>WmOyoaYM zBM}9~@Gy(74s3#XWXZ7{&>GKuLq)?UIb7l zZT7W`gI$ZZ^CcxT^-HT7e^q)?R_1YI!q7K?YuBxryi(idj3?j70&Oym{KLo*W~x9^ z#A)OCi{ze1L#>+NGd)X`Qx>zoh9S8OoDhpd9Zk^c4DUil7#_#!660!o6$lOS)M$No zP!#la?f>f4+zvp0ALbtj@wO?P9a-H>`cEjkl0v0HYn^dyGTFP|$?K_W5Hi%lHnZd^ zwaZ6$QIy%>j6~}w7^!@@GS+-TV+Ux1iFrf?p9DVt&EyeH%9Mr7-F+pv&L`#0$#kj0 zc_29mpV`W}#K6Vb@*0M{>%Nr!p5E2M@RDu6XR^gTl}~-_I9`LysD*7B0UB&JaTEiS2?OEg`Uw)R>M0v; zlYonU{7Wk_a9M7tifgn4PbOOnAlt^q#(W;m5u*qT1NI6g^N+vpHlF!(*NEv}jyR%J zHQQla{e5_ogKs7$lzX5)Z!igI%0U(B1>xwo!j6coqkithtFM~f@+~2R809(kQQ7gvV_bT(~3=6-zcRXUqGq?GAzL5k>v4be% z2Jpdvr-V0Hl>-;e0Mo)4Sw=VCa4|A`1}mLoxK8E{S`4(!r&KY>DmQ zqFcxTI!HaEJx3q6iXX8DU*~)D7A6kZQ7EKKM7r%cb^dE(Sy&tZ>8u-&6IaHapTVjB z*Nmxw4m57T73nQD&?8#<@4NY_wyf?8U%`Q{A1dHKHRYQqws*?#4CH;`2qyWfej!pl zE*mi~=jC8&2S2Wzv~3+I743LRt&*&=S_Bo)sjU?3C%C-BzLJZ;2>eoc1#{5wms}x!?{38rqgW%|*T^dbT*#u21`MiQDYyq{ zvqM9fhfXNKN0tn?UXh!edm&H+`UD!fE-NUiLIVsEF?YJ_$`ZshWnP4Zvw6?&ip;VW z7DOtfNznySSg?_44b@x!pfD7FLjK&xvdyHaTj)56F^j})Osg18TAlX$_OA^(UIruN zocBfvUKsSxDDWM%S+6i_KQh6qJMPVsW8h3hfi1j8mOTP80(R6#+nRTe($R~fR}0u1 zrbmX~>KZecf4SadgLTd=18iCjo3fq|w7*t;iHnoCv-5ItH+OYKIj@=5?unMnWfwVx z$jS`R%cVECHl0b5Grso8CqVH%1<7{X`Y0OX0=K|Z{*V2naH~K5YUoh-asfd4qZ}FK z(AK1hij(*k|CiGx2@TPcmMD2s$6e5`C0qOXjIzl4mCAw-U`IT0kk6apMxReY{TB|l zm0uHlJh@o?R|jC8aM{?hr-Se3%O@i~KYhqr`ZphB1Wcv%z_*1W9~WH|CiSKU{D2V4 zK@m90mJwTdIXlO&W^$?Uq@l>k@~dsuue3^4#`NGw?s`b=7eA3L{k`tJ)WDME8B@ry zdpGCik`C!+75Cz_$pj&T&_iSd#j21bj=8N4$h#Ax2) zS_T_dJQ#>^XbVU^)$N_9$)?|da`abwg`TU{04S6}pN;|W98CzNw&!tufV0N%A|k3d zq1LIUQ+_|uNL=5+_s58hZvle`=HZ6|#9`!p5%24IUpj|hAHU*4=tgr*gf#B9S`XqO zWKHSinF(0~HR$w+CIl}UXHb}CbxFba|Cz?Bp9Xrx>n_VLxDY4E2jnZ0^`@;ylek3Z|1)4QrBsBUDit0f}qr;I4%oXg;8v}S>K-iRYtiy*BKX^{Tb zO<%7QRfJH3C&%A>1(SMrylU6(yL>9>SI!*Ce!`=MU`>NCPMYKNEphc`^P_NI_NpIm zHaErZHEDc;&*l@L(7W&@B_r_g&Soz+-p*;%evcmfI(mP5@rTvdd-5B$`QQ+qCIB)p zTmr-BLsuMuRE=zJTRCq_Ino02dJDC(_;j1CkrfLo6Xq*!$BA`KIv#O1o`PbBYYtsr z*PFd!fz@-~cAdmIndAE|8=E1_7p@+PB|a!#1MHyRZuQ2i3knf&$e;u)>%gl`c8?c2 zTa3N2L~O< zOO2TQpsSdm4ZYwM(Eqk6X;QRKCwf$&GV}d)tV;0m`+bgKiAM>g`^c7pCs4~00>%!& zru)$wVvj-w{lX*cPcfY#CjBWB(nD9h-}K=>hcpsmy~4oEn;WJ)pvoTt)o$$Sl_n7U zOOZ^7dmA&i3n25o7=L0{5zkCCuV3QY@ZE9wOz@R3A?$i!0M)i<(}%Pln10jcct{MQ z&U2g%$VF%QIqshMFgQJ|jc?%TRdVLqf!rz$w2Y(S7P30+FV8qJIqGKdHc8LeD6E@+ zc|M?z=)ZKUpL~`f_Zr=Ec52jiqsTaOchsQGK*73;qYT-)sbXi5X~gP1?;YgJHaYmV zj?3{2$zg58fBx;2WQ`2kAL~M8yy47!M}Gw15|0z<4z=a66PS)4_)h2+$Wz=OmE=g( z1ux9){HFYmTKs%#l_ZeiQ2b#k${o31%~AvRqtJk<3KDJ+$$6D!=FCS5&?ev`;eN$r z%lLg{?FRgu&6_mGtE<#8NV@1fNLpGtfTFN6Xe~N2?bw(t$1SVON+|T%gYLfxrtN&t zkqih(6&rJU$W@}9!=t&h=7E=W9QsEMhfh>0AhU5=8Xu&Lxp9>WqtaaKwOajp0)8rV z&ST~u)m*dIZI4ykqM8rk3ZgP4Ex9SM?&eTDuI3X_QeWMaQ{}6dBS2V`Y+{8esqN^7*5%Eoo zAp=6ik>9Z4n_ugm<1gpeM%eWt;bxvk|iD>qmGRMG+wyrL-#^J zDcNHMiDGFW>P~Ox4IKI$^-#Ky#HJ?smzRx3*dc$R5K4|47*_QVJ0P0?8|y0aeF1;y z?N(+p*s{UhgsUMt7ttAX{oJo6xx3*^*H2636S* zI4!zZGp6_!uJuab;gP$md{!RjSBwSm*m1JlvQGYl?DhJxaXnoKPIZM2K{Q!ncXo$TvrpnRxXTZ9yKd%h*_mHkc|Hz#3pWu?dk=`A7S8)J_- zl8Ck&hyTzoR8_9mcQfzLqf$L8wGcPuld9Mf4ovMhYts_p=ktZLg+byP&>KiFvmA%FibOSsJyv z@{o=&^RLNxyo^C8knj2Jf#`NcbYZ>R(0XE%i*3ym( zXv5f+-y=dBg7dS#jP%-UM%Mfd_Yb;6r!M(1(_dGGj6~PzfyAY*7=J_^)aB8(&-Q;z zd4M&y@!sU(nY2D(PvU9u2$J{4|M>TS8eIbnTI~rKmCP3iDeBhH)R71nS1I+G0uO$^z!Hn`qSL@CRwIb{}dmwI8Fy&2nkKFFu zurS^k<=*Sde`CF*Cs(gWW8O|$L8__Yz7OFvL*c)&soto1^+iU=RuWBum3CD`gc5(0 zk^&g7tLsU}7!>03-GQzaPAJ1w$M(KfL#Bs+KmQS!5cI(tt^ZRCrD+#Ksm>vbeP6K! ziu}t;lNTjdtYLzxHAmsTZ-Y`PVy1u+RLhPlQN_gP#=jz|L!+dW`^pWW>oV zX}_jqEz03vO*#3|8i(fI*tNPa;sLwhv(i`dMM5!x^shNHtgTni;zpO zIXupfQR2Y=_lr<}BUpy;(_(_?>paj901ibn*@Olr$(l}^{e0P^xl5A1xX;Op(On&3QjyMQl7{FT9rd4$@;SuD00`HLSEStNStKMGaqF3_ex(lrB zpvNVJySNi!){U}oiaYg6-o+AEV8y105+K`ZVR%T@{p7%UZ!#15CTxgV*7W}K7w>10 zf(y46zWaHsf~rmAfv#mp-w-GkIpLI}2Z*rMk5_DSJ{=cGwqLp;eb<3Y18{sZ>N=Uo zxqsIBraAv*ChNKNP&fA(dH9iroyCvFF7UW&ANqbH9n=zF0?l2JG&+YvG7D%zd#V#1 z8PKNF=W=rKc)%WCz&Tg3R%Mx6kPESH8f?w$14xNvQ3xw?{(b|4G4S|}lL2wUuV4ve zT-!|PjR*T8pe%I!vK~@mG~9FClA~e|wNG8(x*Ih?!N|{F#3Jh(m2ajIv_vmAxmqML z*{ugGNGRVpsXE;5W^>-vKrsfV3KYHoOj+Ii$I{_7aI8yP0*GdG6ai1E0ZR{^!)Om> zM?4=9AD5(sL|BiL9`5tg0q;{EUZoj|xgU?DA13wLTRlh!i477++iq`M!axA(Hvkt# zG4l|Lxmlc_hzNlK9jP_m*xeGZl(r2?wB`9q_2hlRJn?|^!<4t=p0N3=+Y=2*<1e2|(s0bj@sJnhrB@X{I`>aFIb@^FX90>iecbmP!j>vrT zV`97G%0S8>Atr8{rEiGmgSE>Ymur|!n%zlCDwqR{FJjcLi~mAH1}5T{*SIblM1)_} zVD?;nI!4Uf&z`$7+_K!kSu8K`OJ4+$8y{a$F=|eGqG*R9m||OX=sd9wyglA)^PoaJ ziKaj8j8mk;wTmIfH{5&}U8?fBr;_Kdf=6xV?M{5GBa*PaEO+ldV?M^?QF96XiHswa zO5Bh#nc&&QU_8f8!5qpGAdcC6&5)v9_|eN7NURZ3kK`Dg+Fz$KPQa!2Jgz+IyI5!3*WGQYhj;A5OF-}3FV<>UiEr6Im8 z7gLAlfJp9ez)@2nx7qK?#EcTw<u|L{UA z+dOPpJux;rXlrt|nph~#^9)Nm#9<)>njPu+ zBxK_npVg}>8X3@eLh#7u?lYH|)Ev9C0QxuGn3KzXt^U7iqA)>N~;V`m*$*h@NQNL*e zVx;YW>u1~ZUwNU=*F~++)3B$feT((qBjLm@H@ae?@|8H|t7KtL3&9Qd?AJ=lwL9f!Hn>b&;|4LG zC($=l{rqJeMh!!Iw8^*ffubeiss~L-5Ap3N3No2J_753%tUtv0p>-Nn6&!(iL#J47bv<5K{Nmh$B zbT&g9I$ELzKzRt~N&=9JGxbLDK{0(HPD^6wFX{=Q>b2?9P+4xEJD*k~1x z8y_zL7j5SjLNC96KV|X(MRGJJjLX9r%5^ToeUzeZ@b@rbqCq7M@t-KE7r6UGr^AM0 z`QBzNm~xHHTbwK(ofmwGOdv1#M>*T}H8gk_c*^`z6oj4?Mq}&wRGG;G7a`@vB?Xpp z+>9S6cyE!`QLMD)emoF{%Wiczt17Sp+!JoelCQt<>vI(TXCaQaw4k)Ego(K4&czES^-X_#5XY;EzRVVv5S_^J5d%B>?<|pGO zExSh5rRd1X_VY)}#muEVBD!Ha&>&#GW?NrIE!WzB)_Y3p zfl^O^RYmlvJp#ThHobPN3x$e3RylLwO@T;$mjh3KuWH+s*r*vb3cOWIqv{d-(j7Sb z`d88kwYwO6B;=`K3qgl2RLN!8e22lPAW7`gB?i)9&g!3vf0xxi=Q^}%m2NJvAK;=> z`jAh1!;1Ihpp3;LZo{Tmq^9;wUyqCG*%bprGP4DAltPEGOmW4id3i=^)|Au zTu8sf>xS3K?2qVCPMm`&L)*uq&)6vtb zY|NNwKfio5TyZ#H=fbtOs1E~TLC7qYf*C74QOkrY>rE1V_w~k0$3DMb;6e#MButh3 z>vs5W?t;A=Ac*s$=|5{J>fV7AH55=j`FzxnU|^oSb*=YiPrDKK#X?#1%%VSNbAyQn zQd5e~45`>KXR2l^?d(?0{C4g#N;bjF6kXrU%oCSaPe`w6RKzr8%QvzWBF&15|H#Cl zh{1~5{mT3j`^wyM$TmTU!J~mf9WYd;!YaW3k7gdneBWN^^g9li*jv;3hSh`dAq@vQ zz>@5lH0vS;@*6vX7ztj1PTMps-d%^s3`|{Bu~V1&&)qF;w@-fDw^10?Tfu69hO4E6 zMbO(fzjSns=&~h%H3?9;4Xe#KKjP;i?-spO1<%btXZJDZfnQ@4gavAGuWfI(YFR06 zo`~Q%`=r! z!bcFnk&n^GJFspo+1^J03Nrshz(jHRpqT&$=lEUuZf-pN-PN9`-Z=w#Sa_KkE*n3& zSL-tzdpVvGT&CG5F2o<>)xk#dMRxqRV=$Il*Z>czxQrB!%?HB!| z7{pPGYgrHC3EyUAGLjjEBli9}|R8U%UO+ox{4X^F8HTnis3wXfB%Cv=4jGsciJidPcz^_nj zN001-aF2KGGOe~q}R4ur-=jXU{=vFqh3i>$DhqCNzW{Y_2f6F$U;s~@rkR)Sq zX}>F7;ajUVW0-PJ)U>U?BJ3Kx!~NX8MG~4Qx8=)Fy~X8x9cVdwsLP@ z8K}ftMKB5x+sxJSSwWJQU{{@mtV^Bq$ApeQtR!T7Z)eTz*S3)Q)OqSA{L;@XdQjrw zh+^eIB5hfG_T9)MH5VK;=?Z`&}AT9p|u`$VK74^771 zRq(8*QVfs7h-l?VZ0M==;!;LH~^{V>i%<~2SG5m@>*F{R5 zM3vNtcryPZD?>-Z8-52+JUpOVPAbATvjxRh@e=2(&CJmm6n?&_33$ z2K+%UT|zuOTeDMotD5{v)UvG7!LhJ{qxOfSfcDFKVrU-LaXvgfy zuPUJALl7BaUdSlkHbO!|-V%h)qm=KdsudDHy#=no4)NQr#w2^@PQKgQv*i98U>Q+6 zdRY(eRIWGj-=XgN8`_();q#5We%;olpCX@Y1)KsKfs)?U+|^vUQ9R9CAjWFl#@18`{9)T$qdH_kHYj=E*c*NnJxrfn^7_TItdoHX9xq<^Hv4 zEWiY*15qof6L)TAJnuWPcUn@bwW~L>vvH$=s}0#1I7IL zQc^i>zJBXpz^6p=u`Ib_{kp%D=JO7N-nCuhYgwLjf^i|MN=xJ!lNt#0?5PCx_Raj4 zVMAvrSOUZ-s7W+CcbP+fLfQg%0_mV1hoHse3J0nkKN&?(P?;csU`!%D-F>j_dquXAq~d_NU zTB~ai%{eneft!PJ;%6uLw;1lGUXv1{%h~m&dIb+8<-rP#nf2y1D?x0c3whi2rN~b! zyERX_+Y3Rze?Rhc=!1Mt=GG7X|0!6jI0+Am88E#rFGHS;{T)3I<(TLr zB**+$Sa9pRF8I!J5t>)xO2^?(g?j9(6H&UvLfpF2u$sP#)4M#<`i95EzlIAf>UCIW~>@5 zw}AV%jw3_bLC@o6@Fs(5xbEE3(chn$f>@6~fi5`_UW^%2ixD?a+@wWS79uJ3vO+VM zomG_M2MX!7K=HSo_rR*)zoFmv4G2p5w#V9GDu#nbuB2alMCX$XF%k&H`wMv ze)0HHT6Cdc7>04LD0(v^beh&P&sHRX?8uscX?upIhyR$*n8{Y-?O%-Cf2LFZ5WeHhv}%K;u}EEzK#>Lt`#r!?x$yDuNcLVC9bfg?zP!8yj)E-4 z!2!uBFMeB2$&%6Jg2kB$>7=ZzZ5kr<(j1S}P65XIn~S&Qu%0Z!K&TFn%G@EPq^m4c zD?UI7P_=el0EXNE;O27w7-L}kX0&|GO^@Zxa8w18omh>QU^6W2Ge*ttC;;*x(a3UG zbJ9R~zv**F3O8rRdaPwN;+WrK;H@Jo=F>d712Cf-qe_ztI@MD!bZ#Dlcn7YBtHP=^ ziPSAM&XE|#rD}1yk(?mz{(8|KdhSZCq1t@a%e{UD&ZWq z{O#XCLzZ1k5^q#aKS%TFpC;9+tL78LIm{k(@2pLr0NrlSFGyO<|4@c0MKjZFcizyn z+kZen-(&(0aBQ&yp>YYWoCyh_ixZ=DAnScLe({E(!;B_BQ1MU>0Ub|=Q=ZAtv=Rq2 z3`lxCn$vFeFQPsC9WoTcANwcQq~7998)Yu_mhq#t0!Qx7+>e0!_d@BPRMOaDLb%F0zEJ|~ z<#la!-lc2;Fq@&!!vDm`HW4U@)(IjWgq&a@xlx4C(L>LBGlt|mG!#MeDLRbjTj%D* z^nDkXi1l@4=~|xR=IUnOVKs^(ey5j~MwT*?UIeGuKfx0tjQkN$i7YZij^!jYc0bb} z`p6E?#`eUkjsHLrQ+6>ug{6jjaCz}T?1&CXyM(AstO?ufRybBmvX=Z~!>B5@D2aL+ zTCnm*tiUeeLN?yuK&X{Kg$OCZ3LEjIJt)*PiYp`aDEQ z@dLT0Uj+uA*tAMtryt&c%#slFqr-c~$51M~{Pf5_Z&V7=E0lvJz|_;Zf9P;)*Aa@h zg_??#b|q(@-GYcjWp(5#&QIZfnD}|z8lhbRQl{)51p#<9i~OhI41XYXiRy4{Qx1okTl=Q?g-H|>LDV}8U6J-fJngr82!w}7!^4QxJxyu4qWL~Y;XvDF z9e72*4;9dhKfED+>DE^Eox9V?M#}wxPJgeZLNr>zdM5TJzTEG~c$8_TtFM*H4)K0#uq=;0_vQgKGJzh# zJ`RJ>133!Z&_v~V^WJ`b#Clg$%)Agi#$Y*NjogD$JAZT??6( zhq~zlBp8V*5y@De2J>C#wO!oF%%u7}#eT#sSUdYB!Yvq~_^YBqus(^N7@t7(Etl|+ zHYbH2sb(}Vks2W@jd$rNFDgv;y)|6S^lFkvT{H`LtEC>bz&b(8P~cEVyH0!5 z?wnn@wr4k=i{tZGt?=Q~j^0qxv?+L)epbQ0j4jq7gKgcLopIsQ0+>k*^Y0>L-%$FO zmI#Pb_Sr`*;&r}UQONsgh7XCd7Qt86JR*%i58&1rxDx&E|N^k zD)Q^<1(fkEb_L^#|< zn6)FUP^N@tacyXLQBO+KkOCuy3Kr-B-%wJ_v)I6HUj5ACvj`%EG4KyXldAimb+rZq zX9~S$e%G<6;-(yxQ3@-3G+MD8^XUDsZ6BL{ALZ8oDRjrpXX`n;<_J}~2|mXhWB8*i z=nz35*7tOC;6xiQ^0Bg_gXhsIx*<7~*E%;Xm`{#H9KL2;yJ_9ZZQz zDV#TE`j}h!MR+Trym5Lp2HhsDLj6x`)H;D>q$r%5Wz{{ivdypLfqyQ#`G4G?{wjH~ z_d4YHCH}wAn_---PixV32 zYLnK9*-4FVAD9N)BOVgOCSD9y((+uT06W6gUH9ls=?h!OxR zVptzBM>y#f{;NEC{JoR)YzW7aiH2xJrAU~S(F3l=^3sWNoV`*)m)hFNP>%c=Lm>(W zJbo`2Z2|o0A$N#M*|~EeUuX;mHLBC)Inm@dpRA4lNONj&GzVz{rpet%{t+4?B1pum zJClChkDj5H)=ws5Ey_yYZZ?@p1{-GNHv0b!upPa0X^+2;=y~#eVYNbYF%htjiuj%1 z^Bcy&6xGPWch~QAsSgnyqg@P!NKf!pYn@Vq#nXne8N0T+-;9lq)PYK%tE#%1pnGE$ zJj6w~a%2~?P{6x=dMXE6n+?=90|8pl)o~uiPvc1sCInp4(XV+AG0!l?!o@ZsnN|o$ zUo6z{?MEn6j{Vh^gm8o|gCISTKPUVoaN!pM)2vwPS}krkCY()fpwEHNEFIjrl5=g$ z#N=9-je8$dtS<#>j*~O##3{pff{vZ}Q@gaHlzFBb&aAYTe+OxYz+VP!#k~fC<5%Q& zKtyC%4VJ`k_DgXyOK0wjT%;^T&PDLP*J6bx`R78^mFgCH&4N(92Y58zI1!pJVfPFF zY)M_+jWT7~%{P1ApMX%-^WH{;f^C;WJ4*oJmmYzF;O|I|qgpH+{CO14PEM^Wb`ZOa zCwEXi_U)a3D^|#0p>LX0O8TYiULefwc5*=+r^&chw+B;BcP#g$7BSEaW&^yO8PU20 zvAFViAc&LL1@R$idOV`nO9HZTxoaS6z@YOgvSK(!3YinB5?5BOV+I77SO|g~l9bsG zhbcl4^>Z#GSR?-4AoPtFAqG90Zaph1PVj!A;094&Kdy!TKrk0g?m+h)Mpj;~lm?Z1 ze)G}o??%+Pp!)fDmKpFoArDGO&T?~eGk-yy50kJDQ^?btHz=YPk}9K%g(K8Wq+2!;G` zqb?&e%YvSQM~M1dUb41LnRX)*j1-uoxxoM__u^&GdGApx5Ug#T7r+YNp*}%3r!DZ$ zyr1pGWb6zkd}QYI_NUIFEcP(8_6#>9jx=3nZ=fRO0#E#O#Ebf@c0;7uKOQg-ZcLLS zLR3f46@rR2rlzi`YAk+IE_g43k&OF0ycXW@x2_~_+Lacb#~(v(+D!iOI+A38J0ZF7 zKJ|Sdz3A*C8fn0Rg^k09YLux9fW5S*xs1B|<7C3R90RKgpT(-<+82P?|<}Lht zoO+)v&52|LLRn^`FQR_}CWQSoAwacnk~-VnzV!bH{$^sBqd8 z34fb*7wfX&3j?K1^O`+@xMi*8fX4Vkm59w25n0Yj66?Kkh=@>kTac3PFDEFulqf~$ z*V;p9Xh(xKnp+{M8$avoS++xW#|3|j{9ZWLUDIP2CRq8U7s;3Ja@9FZ6`y zhCuRx+lkis4o{s{>ay7(R>w2V)Lw^qZr0zHb3rM+aF#7w(E)J++t%BXLrC-sn1xQozuD}3CTIb$cefCb1BPpvJ zKa)Fvm-@@*;!)YA%goF&<@_@vLkE)}d>Lvp5TQUj-l4J))D9v9WPQfu#pg zcQU@=+Zlf1`Zt35PKs@?rl;}i4jEsx;U990$FJd7ok3Qd2OPsR&z!;USN*PaWAy%=_~qE%Ul&U88bS_o zqSD1#%P#?!MZ+fptDj%{j9%u9Ya`zg#m|^a;4hEo7(!R+uuvGb5e8_k*MVL`GS);5 zUJNWB(3QS>yfX2?+?U{*xTb?Naej6C;g^mdMxrapyJJpc8<;RfO6u%u2yrf3lITsf z!LmJ?NvN*isb1}S{Y18MX+MC{BA;ep6SDo6%ALZ5SMhiSQXUbEva#s;*bo_(RijPz zQ$+!c1d5pzB<8GMy@s$@_GgR6yru zS^O?4UzEcDrf*bFU;t07XyJGN<0L)@>&YCxFpZzCo9za;IvakXDt@(~=KfHKTx>hR zg-98@snRLlW!r2}7r5;yKs{`84ermfji)I+ai+6_p~C-&<*#5W3yJf(+!TpT{`=W( zB7NswbMx+GVVwI0Z5QHAT=6Ms=UuwibEohpLYlZ~qxPMj5Q>k{Kh>Xi-nDDz>g7d| z5dBY2&q<2e=kEPyXIaF~`O(^GRPBCYrPH=uN1F}*`V4cI#rtSMHcVxMKV`sDWdyBQ zw%AJ=mERii^4eJ>(5Y210&$;;aWD$^`%UQlQAfCKMNIYPmEFB?%)F8uk)dNK=C|s#?~EZxcXG0k^WIBjz;`0NI-vz_ z>tV|6ka$WxEb!mEL0vfw1lybRKU*#CtcFFT!CYSN$v!L;lH{K7E>{t)4OTQ7Q#|1> zZ)`mlj$OHv(xy5M@ao-@F0`KyZmpFA0d}mi;nSm9ROY}4tuH-}vUFjuiZW4K+{AK8 zY^9CvdIyk-CKJq?4=LiG&U37kLk#sV{O6dV9<%`a5a1Fs&Nse)+Z#)T078NLT$2%> zILq}|6-TPT9v&WQIs2Ig-TrTvTVh;GqMFF2QpO4VTu@$xsVoM7tzyXCg3?6o%fo;n z$`?>v)mO}mUi?^mg8NO=7yBb<=u7uc8}q$TPvRr}J{s==$}%bpwn2Rr)?wE^Ad9z0-Pk0X_?XY#H`f;Fgb;!5 zdL-e!i&V;X-^a)HjB7_4kNYDM7EaF3?K4!`I@fgdvmeBiEB_8al@{$wXpE+P(V5fr zYmk7PH&2sA6x|gw-dzJfo*jbmegIgO|Ri z^rzU}b2A|{9^i3I7%-m0q8YBx7wkxsj?7ZIG1|KWDAAZ#g&5e33Jnv~o!)o!eY*aR zm0`mxnApw3EnFlT$!7dLwD&guu`tolVZKPF9ay zN0L(z9ra=70(9n2ajutNijqsQtZSBa?F_NAJe-!VTw>oyIpBt;hq~VvK7I$pV_UX& z3TVD_bw5%2&L)e?!}NUz{~Z~Y0JGZ4M`d}aPm_85Sa04Kh>aO?zZyZYsE;~DVU9$; zgutBB1~L59oKR7Y`*H~pTC;z(soX&OtyJ5FSY;I4_|KY6xLm4U<*Y62czVyi6k6L- zpUuVM(HU+!-`Di{v>Kwr^9tlcbXjijmIFT=z)Vj022}p$dQXO>IQD%Vm0+_aQNtE3 zFojYUuT7x9SL|;Dw)f_-?&2nSV`IZSTxH!krZlFn@T95rhe6{8XWR7_ijWXo78d;B z8W2q@v4(?uOQc@G;V}_k-XNbP5BCiuKo0-Cns0n8Kz*r$S?qf>0kQvKTLVPQ5h3qXb_b?x!erc+q3)aumB#unzZ1l!jp^FlVrllR}E@F z#}l{3MO*w#UziEXJXX&I#ciT8#IWwtt2~}OyX`^`EYfq4LriBJAYth^>&g+PahSjK zdAs)3?_$_5xmVI+dNDAnPh6fzA8ik3AO0(quXiY9+8O7cU=3@j8VpGm(RG9q%K2Rb zsFX)dEe^#R6Htd^$8Yl2{ zfyQC^(~;zN+q6C2%e>K12uXv5KxK<7D$qRYIZAORTy<`Ya7?~wqXjnOSvN@rr?=hq6Yg80O z-C*o;Nvwo?`hjby$Utc14z=77Tstg=2brwzXRcEruTYi?*XOP;JiTfW<>@^{1gSQS zPqHceDfa>c!5{DTEgD|@$IZ6RGT+3IBT*kf=cE;WaxtV25i%{S$Xl57$+p}gxlNFS z4Qy}MS$)ZReu7bj>Zl|PT)@7A*uZ)wT_sR2|J9$G{BuMp8tU)E-Ki}q*}?5*?~`$2 zkao0V$d-@N_jyUCq7)U4lR5hZu{5$DpSh5ReiryzjbwhzQR#-TnpRtj1fhn^UJiHM z4C6`vfpP#PR%pX6U88+l@{3uw5`iKr>(4G7Vprp35xzH<#}aoR*HIbX zx)$3fJ@qt1)4EPAKSs#icwsqhy_WpR|FQJhd{qqQkn=+}ov^cobv*{;LK**sCX&FY zS!nSQ@oS83Z{Zj35u2u_ALu%@q4Kr-vA;26h(DoRs;?^!%hG6{jx7|7 z23zWc*jSw|u(hzf)LQ1N(iJ7K1xPiHWGp^xXfmfx(vUfRCHj(DT)%fth_M;kw$;@< z3_pzeJQ(_>-^xzTC|7OJ71MPQRr92TzP#fQ{apkwp#Qdg6hz<{Fms-Q_wH;DV3iNq zrplaZe*Eiq%k3(tg#9{nFDXXt(A0f$L3FVe@!w%n{w5C5Xzs`vbjVXb-HXQct~rnK&_vOhbix`>?bt{uSj1a2_x8MXe!-v#skdO{Dj znk_RbzcG5QF5pJ+(r{HP^*QJ|AHG+aLFTNJD!l80-%y*U^G`*?GlGS{Z#Fv{bET0BZG{Q z8Mu-uDRx$1*jv5Qk>Fz-@^qH8LdGEpT|LDNIW)2;Yz;yJzPO;KOArKzn&cf45oY}- zTC@huPk#W3!iVU9r8Uud2YbIE9V&k18so@mjY9F7-t6oA1=r>ExOq6Ig8+}tA@mjjCBfio#N6dvbRuri58wEK1}RAM04DTNvnV-@ zilNBW!(*72_+5n%LTp@63Cs9f)YAyXF0_920?8*Sd9LllfIgB(vU+^GXkTq!&72Nh zw*5HR!$Cf}5I@cy$)U=Ge`=_Lx>QrBx-v`l&2r~s*Mj!%2q~t8!~YGsgW@h;){$?Z z?J&|}$hy$hOM4$o8np)#pD3r{;WpQfvMo4|$kGE+Ba9o;0~qSoD#7_Db@Zjh&}71+ z(&FKH4(+X3jnY`TS}K*+@9m>zNJ$SR;}yL0OaoJqptI?@L`e+jC8=Mv;z@;6$#juQ zR1Qxa-^$D`-QWYYV?3FHwcTjJpqIa?DtK#k4W(Hahx_MlARO05wXo>IugS@!k>lx9 z2UT{OoTcEdkNDD_e!`_EE-2F|H!AYfux>UvcvP34hAAD#yR0#OxdgAuIDgjH$! zf|{XXAvXi{OJS5iuv!7~)R)8fDlK;wFb}3X=SvXCn;cPBCDpn=r~H1@#rowRe6W%xn9?&9L4 z9Vxio5Uu=w(q?Lr_}*WE@cH28$oM5PB)JvLRtOv(YSC3L#FCtRrsxI=J=MI0Rd5(udlPU0jW3j7F(P6mIdNzd)I?Ye z5ebIudtp=`YJt-QEkImYWmZx>7GX=4O7GKqP6mmTkV;_Qe5ESY+uE-OePj9s=DUj4 zQ>+O0dW}D25ug5g$13-Shi(sp;;he}iXI}oc=%YT$kh}Hx&v|7o7cBa?hv;$A%C>B zJa|j9H|Pg0Go62Fxp0GtmX)aBeg?7D>z7{yW!nxplHC za(w6l2FnX+Ec9nPT21DZZb#S;zFNM5is8aNsQK`WxI>*_b_}zWh}+QffDUlnF*XDA z5V)oM6GS)v^~HMJ(vWW90q59-y}79E&&pcYfB>!NnWiwq8r*gXX^#em+Ej9=Fd6di z-Lb{7VbVcCncWLH$RhERj1EC9*jrUml*16oiIYAaFL(FT$5~E()!nQLbM}ir0zqi? zkWWgc@)y(WPIG2t1=*|%!9pS--9UL1TwH<0;jo2l-r-zF+K&u7*}~vS&Bf5&-X3nu zb$Xxn9mCy1Ya^S}?d5Mx#o9uQZz$%=oPoRk5aHu%iue`bXB#oNS*w;9k*-!T89=(b+U%Q$Yw8fxo7%Qt|pY_@mX~k^gjhE7{EvmD5MPcKzEu|0%-HG8xmt z9{r5#g%6C5I(SA9dcBDqTRxoov%f54pv(U=I|}A@@B1@)r#?X<21araaEP%q>O>!r zB`?3^c*pCX`U8O|+`qRw5G7LzuIRVTky&0#4PnnF2OjAP%UX8@uPr!ck9G5@dysp6 zHttK8T;8~evZREfZ{Y}CuVfFbA2>~rURr+v6Qg)^p#T!{Rc3s6-2XCA`*@4 zp%+VH4p>T%lOYIcp2r|dG)^|M#?u7w(D_=;?t$W-NZv<62ADvsoll;0>xf6Dh~9{R z4ZS<$acsW3`k-IYw9x&Pl}4)Ta=TY7Fj^Sl;`4gbZC(Syhfj8QBVrL>y_T(=kB&^j z7wWh!ge*!6&5MeEZyl|-)=F2Zk@E zfqWq&8*xGeMXLO4TF5g)<8}LH;29PmLBEgJ;%w$Xr-+(W5t;_?d~c*Q0#{P)+)Oe5 zB}GgaGbed|y!jnQ+744r^^VE?0B$<8Ieeu@#5U=Hd{$(U?8_5%rBKRjt;!>>%2B4h zA+Gn$AZJ?f^XS9`;x#MzmKgIU9Jph-SAzO7woNALXr)X z6}OnkqOC_@XtPthlZY#t&;i&U*w|3F`N6vCu@o#y4*E#{+=b1FgmeRs`F@j%f(eUm&0e^_3gVcJQsS6o4LfSDlA=9#;^DWLoR}QB=ha^8 z-+J%&kQLi}H}{o^-nb#01x`~!+Nvu5C8o6kD$2bK&dx2umPdNm9}>nJB_-V7+Mo*c zyLyxpi#W|k?C5h$&>$~4tMquv#P4jt+FYe2&C>$*8JwpnLdAv?m@eRO8rTzN(s<~= z6a0QO9A~I{`$-fjNrIoJ^9zE}8p#VecA9G9;_%ur6xIh2Xw8L^__idevE}1h5WO_C?Ca@)Qk&K zW8czybYbDXFF3h2v!}%KuO(qCs`<<(uXv`eE}?1@g+9Y*aN ziHcGy;KN+^!rdDeN#T<~NVD*UF1gH0VlHN!vVyscpE0RnRVV9BHG8Ha3#zXbX&S+s zoxM>0YmA$Zg1=uCdCss7Xhja*n73m9weDR6Mf=+TM4mO{zb|3^p767)70SGlB?R<4 zYG|f;%;8@K&FAD*l=6&se`~K3r^;S|Ap2n*M${Bo$D(Qmk-{xx@p4{wz9BbV z-6f8I;n^+pL(}TZcW;n#dUv+A{s_t6t$Nl@bY8y<+x12?f9|?8v%Y98p&H!ncVcKN zCLHdyp6rCuElIQN5up?4ef;2rxzn{u$&gucb8a~GXQ(} zPa>-7lsir7!Bfr~G=4~te$p#vfJ15Hu>VCrn)9&(Y{Wj2iB*Y{8+B{o@dtqKTn18^ z+F9TDlib)AuCB!R3r&4V139v=+D)a4`{Vl zlr?V+7z`Z8e-m`d`XL_{*0UQz2ia&&JCOBPiFeeoaFNbf_M6WUJVXPt945K%mlj86 z12rk3b0v*ZW~-EWZfK~#jyw#FNeL831{V9lRFEG2S~pMgN%RPrSRvyK3}nr_*tk#zx_OUOjbpw!-W>u8&5NC<;_nT z5DE`P4zy?s6X<>+JYs-oi*t$TJbh@GsSB`S<>^&zX#Ghf`XsN<^x%(iePK$(EulmmD@yI~vmVQ7(f=u0{zZUCE5MLDoL7YZxnRCVl0APz#2!&T zdZoL1hJ&7(k&r8%cku!GhjSAIXJJ-+Bsg?X>M-fMeU^jZKI#YK$cAjs40h+hU^EHg zvLn$=HvVV%1aoi-=6oO?s*j7)^v6h1tyhxw)i&6kz;1}CK%VC1KnDdr`wk)%HeYtm zS4b+W+rQ{Ux@1AoC>g0W9htDzvqrP#adjh_53;c=p=9X^v-kIG7F}Ik59&v;hc=5_ zmt)D_4OHUQbm)Kdiy(sEQu>fyj#L+77`wXP>`RnioBh>FhdftC-O zqJucUusqO)2}?Xn;b)W_<+io5pA&c#kP{6+n0Yr7glVrUXJq+a64jMWovX&D z177n%^%sTinFP4kkC()FNibU;(QTF)5quhk%%8jN5rZ<-Dqm43Zn^wm(OSt(mku(} zeFpTy2)&0fc9dD8eSdhLT{3EOzCg?85l3p1sYgVUaB<(=!1y1;?c|R2jR(vDFreU+)7Uo!)oWQeWkSlElCQL z0 zA+qMTpVqae0)VxX&ijel>b!(L0uFGGVn+(=^JJ<*hs|wJXS@Mj{d0|b`G|Tw(y!&D z`Gp{Cr+f4C1Inkjc#uG-GqnvB|EcSbY*Vsh~ESJG!fFu7@`49gjFuDnfHJF2&y zx7_&b!vkto@96?C?ZnqTMeecG?zM9=#=`qC3SIC1#u)}ED)+-ZB0e_^bZCfW>*k0c z-1ZnhWS?}m_8+mgn6(FW(I0!;a?qoN0V98{$pVbiaNc6bmVv{(l(Y&7oP7WIHU)cV z|BnkU^vt6&gx4Mr_8w0ym%$PW!SB6yH^*5Le~k^sWBug!c1&u+g3#A*J1mFQY~}v` z(ij3LIHpr0;g*hM?)QggsQD-RTBP63Tk3`}*+%M2KW+b8Zq!9w)Qqw1+nYkY=pqU_ z=;10HOFtxsxlluu5~^DDE{sLj*zH4p%ErZUAvfPD53;CffX*`}E{osJ z3kySW9rQzZ`TpMWKwA0p<*Bt!StYkYjaC@7cN$r^){x+iYE|limKExR+2F@~*OpVO zq=tL}tmzWHFFRHHM$@8(q>crx5iI+}b!UUyjK(K*&T~b``N%KorF^gLoS&2)MIO6Y z(~2K^_O4h4kfdjJUbBwB2TKS-hIv%Ks;MmjCUvkwWkCv<7vJY4IMUX-UbTvX9gylys{+b z0*dwx21?hvmX9*{N$%nA!4E5RYXh$m;YW)!^*Q!mv_minULm4 z8k2KOu3KZER?-#unvxs8%9oFNp_ze)uKopUY$<8{B`l=E2K1iG(nNeUSXrd(0%4IT zDqeRKcz;l#51P!ctfcxYz-|8W;sJ>(za{>vr7B+#=*P2ti$LE4ds{M)=DzpAf2uHnlg;)o7P?Z% zG6FJd>(BQOEak@2Hb4l&!4nHGRNij{;RBOx{=vx-N!KTkwTuJk*JLABzBK}xRBY4l zOT_1+k)h-;y{wf-)R(_iN(G%3FCHF}$OpgDQf7TCOjui6ix&9cEbNE;&d<+y0Egd$ zQ*oiNJz*?SN9?#jVn=oR9bHDgfq0^MIKi47Uj+bDX+h=+ht#i+%`*TX@L|Y`o$cYB zkd`A|#+hM+Aa7fly2y9thG^~|1>SmUNg8d;0-8p!N{@(?4s1ONtoa@^w+go2JNN}MfMJYuf` zH=7}X4*T?Wbkrx>5LU2FacXZz_r1hr(JRun9gkE@us8MU?CSEm+V=Ggh!xq+0%e$7 zC@qN4E}XThV7#n+=YPGg_Ci!6C3$1N0R_(!!7!ll%ewgd3nBFT@VChwa`8cz;-Lex zrQxL+FuUCVL^38@9=8)(H~kXrD`%?ZP%2K2P*@7W)(KHkKwjJ1%i+VDN9WpuhoHHT zJsqOc?`CKbUqxsMIC*23^2P*Tsz653JS#jh4U17+;|m=r2`=h}fKFqu0-S3shu~;^ zFNjle0x*=#RD(G(2^v__TXCE%)ggNE)glVSoo6Yt3^<>RWf!Ij2suqEGHz&wcsgn8 zBzx*c3_+oobz;_;sAm!1P!u=*0|H-B`4C-8bQ`9`jeW$ZeL-*iy&cAjoVA1f7U?7- zv)QZ`8eJmh#>EL^;d1K}$m1`(Haq=}0o`qx2({bP*&afW|8||ex2{;?$j|%bvhyOC2jLa_2og=yF50ejFZcV9p}mEQ{I$j5GZP zcBN32hNUfm^|!KXf?Ul7L={U%d#um$lM|)-RskdLi#+z8Eh$S<12LAm+kINQeJ-o@ zXBVV3s`4Ic!G_G+xIRXaBxYs=Z)u>n;$fn!>G3`jKbt?UpB}`T4zdb3S#ClY98!RxuUGvo(~oY~O!3ZusUE)fJ}@FN$oAjf9pglu=|m(| z&W|vhga*ng)Vv_Ea5j~N_V#o8)Yq==4i5nOZ~(P$T)o`W=Lpjp(Zngzs;KB(IGLDO zRDL<025(cF&r7qQCDRxK{Ya*8E=?MxtX^MNZXfXD?QXd0q?^q!6}RyQ6;WIAhBUam zyZ7~gQNb|deX?4_kAMQa%ju}49r#sAs2#|I^dmHNQHRG3QEL(nd2|~|U>OeO|438O z(gsqMkmk~EDQ~*wY|nXoOrp3J*Sbh1mOO2RHuwEw>Y#p4 z=}6|EZdXW7J;EkK*y}^4f=0(wi2cGutIVznN&-#P3f8i~d=*yl`sQ z+~^zfvL5*eCT=LX4A}nUcfMS*ZDBA*aTw(y4v%Kd``Rua7F0aEuwe1^u-#%c`CFT~ zaUlnb#6SkpgySoA_WN$V&YONW#BOw)ywi)&z>1=)W34$Nww9Jw-82vgcK+h?@vi;( z+1n-ePnW59g#V*H`~3{iRlI}AuFDdE2D{msJb6*mF?%;QfHOJTqOvimy}jLwhRn5A z-L#VR!&kq4rEc=T9xO*Sk>a`3wi|u0U1a~^!3i)0f$}C;J3X}!fXxeUMSoR^ zjKZZV<=P8_C6{=TV{l&b+yKw^a&SO5`C}=VVPGdFGl&v=_*SceViW>%5PHo+$D`T2?-c+sL-c~ z3VMz+8UWR@ju5PDu>m0I=NCl$Z#YeCj2~0h%|^1dD^fG>P0^m8dvgfp-2;(e17ePw zUXRrT19~k=0}Bg)N_QZh+S`|JM8sdGgGK$Q6ac(^nc3MR>GVY|YG8wr?)nQ3 z-Y<7^a$Nd=)8#-?aTZ?}J=;4D8@n?v;7XHw8do;UVb{JvSEK%I(WLzJbP4>-$@9Y0 z?0fr$b*Fae3LRs&cxB-~*oE;E$S*R=NOXAqQFJJ=^G#_?3Fc3ympWRI+xUAWMYu{2 zH)1;hc1`kDUsfzwQUh~6WG+Ok4gOv!cl}yPnE^b8oPs43wxK0wr9)|$BqmmJuDL)3 zu;#RoZ~~0oT@d@VsFWe8fHG}BpA?!#B1(P(A=>dOU{-f`7b*^_yZbYjDmc&k1ruCr z=uz7Xe7>W%;SD!PuU1_i^6Ts2Uibi6VZSMTRIR?xr1|wB`8N3y-;5cjCK^6aK$^wx zS#k-)yoXF@!`tS;#ipwEkD=VR&3osGO~r=)1aK(h+cf7~iv$g;t{9EfY9c=Dc*`L9)*v z>SKJWxg7-{`PVLLwV)j32m>!*DBbMs?*0mF5(rJ&>da~Hw)@YpHfU+`-{SYe(kQ(z z?P3;gOy(}UTeY~;18}e13^lsG0_Xi3SB%({c$VJCzPk0?T){mRKjiihpsqZ~*WLZx!lQ^JSgND=-Qj*8$Iqx_(f zFT^fZQ!bWF=`Y-PVfg{4_L0`FM#;D4&Fz{DQ#HkZiF`U2N=TbVkOR74LVFSjU^KU0 z{kw@;Y(C%U0=b6qkmbKdS9RX_aN?uTQnv6`fwk(M%UwOKm}Gkbae5)OKAh=iJj7_L z7%rgvt&azeH(PgiaU!2P)x9@WUY`(N*PDPew{90FCnsVeP!DiVOu5*EnOKZ1peR&6 zgjzdy0`4rME6-?j;iAckWsQQ3wAXkMb5#~Dd8dkO#qfgV0TB)!tW~CL&Fmlb43T@CaFV z_4{37rB-jej5W^-22z-4%Kb(0BpK{a+@NnO)GvYlT*yOCcAW3QPLwe+bY{3q;Dm9k zzTyno9FZx-iaa{DXToN27Wya5`|!TKokuc+_At9y)$dx-axh>m)FeJ+S_!@P52+vT z_o;AN${SFJ?9(K*JtQxX`+ zzvL+nw{z7V<$A;JwY`uOa|~Qv4-%)_4_VJ|FT9Hv0b^r)8Zq_`QzZF)kohna7D#Yd*w8xh#tl$x)@VSP^!cI${g&+cSxw-9Q0~ajTq^Z zuhIMzWH$|6z$qjcS_^J6VH%;Xd|46O1%1t78_K@CSK)n5#1QU-iO7%Yx=Xnqen98x zAx5uR(59cOHm#*6s1_nLd^B5;={eE498sz>c@s0ak)IC{M7*xULE+nLhdF&vRv8Sduz(*;dAu?oC-DG-DzN0 z_YX;uA(B?bCDnLYucC~<1V5AsE7r!DLv#tNUzDr)bV zqDB4J{6`~kk!>C2sY;W2>H^V}1oEliC?JQ1yb6kIk_WIk>L$Ps8VRcryO*ijcKm19*;Nn|9qdHwR-~mwWOt%XBxoBOO#7%RuWJ z03Nd|S2?+~%3X84c61_PgbHYX1qLa|m8u22OsV ztYJHN76sQ@d*0G7zlQzD($&MWv1D-+N2GG6jKRI6@h~GOS3>^9YpnQaJ&}37ZOm20 zVl8SVV(#X{Gq5LG0_6!w{BuN@Hc;Qcx%upCS(;>SYX@t8^-r=!sI35#n?Jo-bjlXVg?RI7;zv}MHd<}6 zL#&~UpTU=Si0d50&VF8xh@f$@;R1LW%PH~=Y}z$3P~Q}(dMz7&0T*0)X2{P<`c>Z+ zdtnkGyS=rpW?}-uaP0%sIm!Z0N>QbZ&<4&$P|puWTCXe?->7HP0bft*RP`)HhZ{Kb z&`UrB|3l(@-7Y?&ci)l4Of(c*v_HSU<&gzkUdciE{^nz4gPWW@*Z76GnfVXwFu1jc z5budU@xbRt1zZdDi}?0&-md=a^>SQDklq*_GiZHl7_2Sbw|N2ry%vl=kV=jMdHWun z^>)zTdRm*A9gTFw?{mL1E8<+gmZtCukvkd{zQ5Wsu8f(&znOY-SRqpT2JH^ykm40{ zdB1e@Qo^;HjXdzb^83e(ztZNsg7I4L6f<8+LXXM9w~MLd6tE{(z}BOlQJe;i?_D%5 z;f_3J!;IjAm>Y78!2PHseorROHjYDx5iZ6klq}SAksYxj0J;~yyfOrim5f{Sz)OwU zZy)6ghwI+Vxdt2O*2?W&mn!hMAY#_?-T}15shNx2c2Bb{Fhak1_wK>?)v=+e@&()+ zz*exggct;jo6p;x&cWAl$Znf3Fxo$U5kNNC+KmrAV6Z zpZ{->@rxT6(w-G-mgS3pZXQ2Bh;;>(Y@hUeVV2!D>aCMnVu8r82$+y#@6HRPP&QIB zY6M@yspy!;cJN?}0c<2`Ovd?_7bl0;ry0r|N4Is$i=^@c;ErP6DOqYBSRnf*h=!`; zPwx^XsG<=;_ytux$5;$udd7BZ-iA)AbJmzUVY&A;&8x7n5TB zT??0r@SkBeJbQX4+WsC?1%L%L0l+9Z3M)343JHMJqvZ@sC|i^U2~L-W6tsOsQK+oc zfC{t~l#y_5&t2rc^RHd{0^7{y6bI9N>Dj&kvLTGQ%}dZ033){x?aP}O@6GmFW_5Dv zxGS>SSI=QWeW{gL&mm|ZlZHcSDUy(a7PPjmVqhRzl?zca5^~Q1xd-u6?b)aexPoL^ zYL8~WKB;wYas0hq9b(CYObe>G-BhAn8L1kir zA~fBMJTLqB7a*TIiO{fq1yHgGHm_MV4>w{hAcg74qyB;gjliAkV8n(rm76oO3x~%M zPiw4%Dq6^v?pT~+|N7%lB10Pqm$KrC{JawLV~s;ZF@7=FHk{lo#LZuo2r)Qzs79hF zE@XSJYhiPSDAG>oJaRcdLJ9{RDSv<}23FE5g5q@$8QmTqkfR0dEvc0+XgU0e$dB<9 z*h8<(t8}tdx6Ccu-1zVF=ePLS(}Den@wioWXcep&VP#uS%SvooeO=!=>#c4UND^*# z%f*PH#F%n280FKIg7{M5tQx;`i2M1Q-3p?fK9Y6vkm(3pufi|>WPq{rjpJo#cXmp=aBOPUpwbLKxt8LiR zaSmbY)v8%wKyXwh=5(17*d1}hXEL1emo@;e4eDs_7p^P|?WD!482?<5X9cmW6UGV) z1LL2KkPl>Gmist;3Fp;T1deRNbH)cc1ys06uRIL}Qrf}-p9DqhaHQ2&p}ZK`^1Ktl z(plJvJ-v0vw?l^U2r!(W)md0mRz|D#S>riB;d0f5vix(U1WoY;+ZV9x5Av3Eg9X2D z+4juw!dg8|lef20pgXV}@4)Qj8kgJj2@cvy5u6%DElV5AOi=#vU|~Up(*EQcBSNQy z%%E}h@#LmYG18wh$Zdg0nB{iykIT=k&%Kh1Wy37i?Td?tw>J;346v)= ztav=xdOb4x?i@ifKcKHqSK(@gV?H?|tdgK8@-mPI_)qm3J2<@xC>+b@ z4R6csjXzEn1Y4rXKK&!BAZ%ttg^xsoFA3BaL9rn&pS#?pcaW2`nWd;RNvH>SvC-31 znk}-t-8|j5?9lZM{8o+1j%%W3uc!}$KqN}f$o?dQY=Kaf6*#t+6tQg@W9xl#T#JO~CL;{Tr4xRpA}r4DDE}&X@#|J^a??`1Z6= z?KMD{;)j#s{ACSAbBsDJ{h*#Vh4!yV8p7Y}`m>2UK*C>b#v8ikm4}c;ejfKu@WJ#? z!!T@S@}4%DXoMFQ(h#R2s)-uZj#k4;4aa26mNCG6?yF6{=q(o2` zG+5U6=uryOS`N>x+ps2IA6R?sd2YwwC$BT&SU(CpYqkV*?>-j|gXIIhgNLtj(Tr|JJ0g%3c)vXnf8Kj%m)G^v^$;1kN!@3Kx=jNmx{ByY!NbYr`c~43&f8o479KL7 z9rEa=bB z&+~;7O9C^3Kb@ki1ke{AXAe5~cb}e;zrEvF-$>^acFK)Uin! zse2ECO@O_#gQB12{%aLE(%Bjg-Ul)rfdLGP^ejd%yrBn_0UMGk1+0}nMh#Pv{-*ro zxsakHrl|LoonZ8IZK{)8sDa412z!RRH6&W>s97#mciXD(A~{nMna!O`LhRP|9-x%* zB}WaT>Oa^+6`=OtMsaP`0=k>7i)9%O9^9xkx1d^o!0{tCM4mp*_*;h14Rg1eNovrM zRaOKt`ERk7Xisg*^Wr(Q`l)MXk7Gk=vUVtcbett!%{-4Pe70wF>Pn+$iK4(`N&X|u z5jBw_2IeY5wk>vT_$_#*myWU8-rH~@SWI>>DjVXRiOFV*V)VKD{@+`q{}C*j_EL>W z9mVYLMf>BzmeF9Qc5fgaJpUPJIr+Q@a_G6Bx`k7R>GhKgQZDxf_@xLbGjIcic_*9% zsyaZlTKgHf37ZxNJ6lt&U-Vp821dP7aOZst*O{H@KPM7wOQX-H~yJd6MQ zV6z)6?!k5zF7b{pyK&@Xx&64W@@1HD9kFlY`8mwX=XJpXSvo{hh9v*|;ESDL6lrprh-?I2#kMB=UM`n(X?imv{tcx{B;}nU4 zew1S=F9ZsX$y=xypatpCgp00ym8_I_LKDSoT&$8Z?;E03#GG{rf<SQq1S6>R0;ag#Aj3&5BG{h3i%s$gk3>Y&aw1qs`OOFEyqVEb2PP?wEP{rA;T%CS z8)t`VLh!+qd@)r;q?);H>OU-v`uZGmreh~C|74K+3e0NckQuuky0#8^lRbFgOSxY* z{u+J4oMx}{ch7!-UNkCb5Io0!XuY4)g1AJV<#7;ySE{n&?p6>5#W|2Q3m_QbyxhN7wra_z@goRd)J@#X z;G{8dX)qx)jsewoUYS$oG{rYcQfzS%>yFLgdp)@X&bBa3|MF$)S#Ex8PV?{?T3ahJ zKf2o5FuIGqnTvg6O7@(Y0g@V@6q(@nYSnu7)4FSzBPOlfYofUfbdmr*bne7@=eM`3`M?yDmg~U%< zc)>1F+(7w)fwS_)pHdpi!9Vn3KcE!9H2-N4Oas0H)ByuYQ?0W#FWCchf}>`HI!AhV z9SKh(T|2fA^1G4U@si^^U~L=L$zuchtqHkPw1|Cx8KkNteW6ok=s|<)Zk!3#RbkC6qw6$G zn5K3tv1vOLf=y|NDyB0UbeRT$LK*zVpPy?;3qp^YK`7SnZ>*!#hBi`oEBB0ovv=sP z!hAOndq10|0DYT2flq_gNOAe;H$+5J_ZQ?C+4@H&b|i@h`bp$j0vwqRS-r&tN6%c# ztmDs}zThafPDC~e@^EVi&n+c4KG(bbUra+$0TdN5U|I?F|M_|WwgU`dP9qHl&g!=K z-S2lUWvLL?r$6p4qdF`{o}anijq;=GyjzYQWQ$;TICJK14-P2BYSX}V^_jbNfl!sI z)8SwMyLtm=^6n zRC2Ifl(5?$g|t2oVGDipy_&_BHTy3Y!Jf?fU9kY4fWYUF_uEhcS|d%w!PNEJ(&vkg zyUxey=S%m)(Z{X8XT8p2X_WBCDTV#mw}0*24@VCkSzFov?OpUUv49e|P+~wyC@^Q1 zT8^$P<@0N_CX-oKlWtlPEPBwt_Y~IDOm2ia1FmP<2&zqN0d*+TX=2@os4^!63rWRr zcBU%Aas-L0#!@E9$_gu-VeQL-sD=u~$%MHtKVdI|b3C-HFw*wzGlExWo|Gp1oU%D;x3-DB3N%*#2W=TpwJExVK~CuySsaOedy|}FBGn-)AlpWC9|zZIM}rrHBEk2ZE>)ikW^THBdGU{!ct7FRHxXAL z+N{pK|Fm{x0Y`OU)X&ifh(C8KY242cp`q5i4y;NV``vx2sAiEkZy(t7MFH&Jt5<7C zsbZ;IN!c(L+tf$dPl>n)uKNDXa#7vF3Q`GXBM8i(L+k>~xOsLwWTBq4!PBOhr{!ZD zs*-nx3us1s0b<2DS{K4u4EWoTl@#Ud7G^On!8xRL6R7u|5z*}^$*rVAGX`q)$WoPG zao@*h)I~lEVC(qgQrG@SlW;1mdNRhGt!4J<>er=Y-MXzKkh_@^k+U_jV55>_Oss7W z5a3p;ey!t9DNN7I*>vS=AWwVah6@vDjTNBBf;R_++yED$fE0(E(xhu$Mc^Wl_F(fD z)bDnf5A&a0hB7$8{HF9Uz2DP9^Y?1T#j8PBFwqN^y1y6M%CFH7oj0A(kN7j`fNMj=Fy!oHrS@_4v9&0(`v4H9ldlD?x3wa z=Q`XQcgBtEN+o}IOMMG_V4N9@5)8k1=@sdaminSXFI;Nig1$=G{IH~$9;Jr?5kZq} z1}SYy7r+e&(h{_nG=6zc{(>YcO&DcH;&b>=MR-IGAj4sXoU2OL^LOCiV`BWYh^ybQ z4?Sm3jo31>ROz2n7mEk1qLF*HmKg6ElQOXFe2zNACuu|(M~$7j-ww8xG=g$3?Qig? zJN^Rb(Eja~2b6C6MlW@%YRTm21>(X-i;TCEe|D8HEjf!rMVtHV{@v~pHK5z|{#dWJ za5yuY?p{R*xgx!rWxuqjDbPcZc@>qb)5PTH5}28EFOWW zOo^v7xKc%$SgrihEN$So#KWuV0$ zJE6KXpRR#3)F!mUGBK3%Z(&7@pQA;(XN)fK%a#Z0TQ>8Ou z6)Gc=kwr&GFfGU=ZEUP~;7ub!5=6==;3*0O?M0BWX>jg1cz14IjiV{{iC2fYzgoB} z&Tp5RknK>;v9;LtEc!rk;Bg2BQl!BtPAW?BC8hrhmh18`MXq15G+jU$LqUrrbH5U^ zJKWg#9pU@c*iBZ)4-lhq;5{GbM}z(|_h|D$3@_~^Gc5i+1c~~hhOGE+33(7xG(`pJ z3w63jz()KjOgq7kXSkJf$mdeJP9%>6-9Gnk#ZLu6{>a?R$piYa4u|9fIql(2XO;o? z+ImE(!l5akb+>G>sTkZ>-)c321a>C3!^@B@&Qyf|Yv#2#l5HGCxhH zb)d}VSEZDqnuTYXD_1wDOo=;R39M$qnlFAA5PWw<_)*%psOa1dP|=c=jfHF_Wnmh0 za(k=0b4wbYrBYkiqnEfjtr%(SO&cVFo&aOK6Is|YB7d9S)!M2gI!Q>fkK59%rA;(U z{7g=Uj1~I+Zii+$>CKTEQ$j|`_WUhaK~WKuK7r|TdplHyfrC8AEVEw#8#Mnh=Teve zHmz3O)z#rK|3^w`UfLaGx^)S9d-eWo#sO;xSUvOKaByfoXdaRye%nFb%8_~ehw8L{ ztDU-3Z3EcyKg@h?&PC7R=P1^P!$lXFnYsIT0tu%h;n?5bYJfkbp=?2`(wM|-%lthV zK4&pkQc}YL4FM|RgO<$MIsL$XXXP3zTsAE_SY82odS2zF%kj5rAyZaCg03Q%N;7C* z5xa8y1`(u@$S;zk%@7(e{jum2n^Xob$*!NUz~SWeDN_^JyJXvNWK*q+RV4jzNhk^l zeZwUAfXOUNj7-Fx=ha2cG~jbWgKZhNL`;tl5>zoO?FOvib)TCnQ0k2i`^QVW!o8l2 zSZ2dt0lOV!wx>{TREtfeZzsoF;i7k!17zx3&UH4X3!N6S@(6n@MD0V!fInbCxm>_- z*-6q*)F_?bzXxKNV;6i|8EOP0WE@>xOUr;!#!1`7+nd(6Jj!P#o3da4zOuIIz!9}}&VKZ^I}i>84$7pE@rUr` zO)LXQfG#y*_M{l|W?H^?K$A2Q!>VifZqfbK+-e;Q90-cHvBon44FAF}n*RwiVF za4>8BiAz0AV;HHAZ>~@TepAAS(hF2pL;@en6uY-^Krow5hnFXt4Ht=UX+Y~v$Mn;2 z_QxHrtB)bRmU7N_|x8B=M87ypP&0y&4OrKXfF(Kc+HXKHuk)yX_GSM{Y|2av0brK`DM1v|%aWt` zygim7dt0nvgF4Ticv|j#7`TlfQzs#L-1FTEu(Yy8iL02$pf1Xb?CEl~>Zk$J;+^|Y zrUGYQ=yZD)o`-KI};EQc6r#!D+dpf;kBa{BUdi_Q`-t;{)Df>?|IDQKLtoSKvQ$?%!#?4@t z_Tt~fq`k4EX`Bd8zgb^H|6%_T=(Zv7oiIihPId$1Li0T#8Ie}P7`mF@x%>T}WdmP< z9uCQ@t^F;?=O;Rm^8BGkx+T2TO*`M73(Q``0Zyc$#A{xC5BqW}0xRO1b`F0sQCf9% zLkv?8J!Z}{xDYjTW#Z2qES5X4o`i-k+5y*SS*?rHK_%vBZphJff-0oZvNN>bA3VVT zq%ErXR*iK~aOspK;H+tDru{`}mVXpG){Y$Aj>|J<2Ofp}TNF2lOh^}oB9`Fl7drA< z&@dpIW*q(4!z9Y9*7o$YyDm8u^9Ef+13OA}_s8z@ZO}G3RXw@6<>$8qtv#>@2_XX% z%u0UdHxE}XXx`3N*FSdGrtEpOeD36)$Gc$MKyKTW6S_JJS2~cn0=#KmfU$#m4eAG5 zY?&p8bH-a?f@pJr8A`GB7BX+ygxTiX4W_5Sw`6$mt=wwRs637ohH0&%#X?40n*aBR zf7Oj;6sYw6`wYz_2Cf7m_nAM$YPq*JNhh|&pV2T`5d#9Df^bhYg&5761kCH);nxkm z)7SWLuWh05bBOgQc)N3EfNf~vB{;C&$(27ldv<8!${{N64+Lr8;k$B*vr?rsj88TcMS`p@P+FV6>Nyf|{PTc*w&gS1fLcef^j5i24q zX3opjF>$y{gLh=^IBV~|KHHk(2jrjSEY@j9NV*8b(JLPQt%v1q&4+%cUl+{n3Xp9s z>hKqT>UzMva@LA`;;kvb{hO?1{Egq(zD}?brm*Q@3av!PF(atW$jcDG?4{2t$_-8} zN49OS-`G}m+A*92SvRF{BtT(YJv}R}cpXn1ko}ir|4V!>L_5O4e#@BLuCmiDr+5d_ z?y-S?|50h{r{3>6CO*De+JDO3<%3{S4E9*kF87 z$L?uQsOOFxee`0O9d#{=*R`#XUr*4%i!LJ)_u z#KiZz`a*NFskKnQF>26$Cur|C$EBcW#|pJdw3`ij>kFn!ej)s#a9xm_Kan1yr`BTr4?1kzl-@25Vrcr&ntAaY0qcMLlCKyiW%bw1cBge(L5nHP z;N~`U2blKSypGy%hKD^DBF$U#M{%`%iAL>bOGBK zqn~>$^yGEeHW-UqP_+*|Z9j<*#f`_D1$93jR<TRPyK$IGS5fIaS%=~i?3~DhR$K* zNO+(wlQG5e6FjM>NCcXtD?M+j_|-7rjPMhQ{^ilp)!F$Ov*~R+!B3vdZ`wNuF>R%KHf$6!w z`9ptf#+O5d7GtP0zc-k*v=}zq5yUr?{_UeUczA#xEJ2TD-+ZBl-J~q?AM>)oe2;}7 ztuJHOw~V5$Y4GmgRj=WzU*(!8aiQJ5DtOxn%$zm{=$m|5xexv<0XU%IVhtqh_+_}q zaj{;3_`K)s1$+~~Ew#XF8=S$l2wLIZI!qD0J&9|z!*-{Z4&&-Ubpp(be#sDaDYO%R zlP(|cr$++_E~8bv*6@0WJqtjNOmu?iWVlVGsxs|lw=7M$qgK!3cr#d5$5MwUmoqj( zqSN8#+=Zq*upO)16%*qdt3S(Qr3tl`mMF|KQPWs=x4G$o$fDk7Z#@0n!mv+TX%YGI zFxv0M*j2e@8k7HRI?hNry{h@9?Fy`{VX7my{7KtAyYuX>8wA>a5>@12SQX`XqbnR* zal#*+rrTcUA9mU*;^11(z|VRfh#2H;=yh$QZVkNH4CB+3Zm*#dVxdHp&tr~qz}d#G z7sANLlTPG$&nauguuB+8kV$SHloPd2G}!1xJ!@lyeYZjImYZN*NX$(vTlE$p_6#sj zfGp;U)80aeZSz1&8}L}n0t|;}{;+yc_Pn$wYbPFnI(8ki4aaXzxtXDPYZ)35+Co-* zbaVu~J4u+X9`^ElmF7(r@7&~9hD}CmL%Y^1g{@S1ZHfIuYzqZ4-2EumjsX`}M@`YO z7%hBO=e1sgSPV-PD#Rh`?1Ai#ch&n0Ca+ndacvJi;n*NWdMI34LV@O-M(d|lD2?Ih99)rC5AKrBst{<_fvT_q2-(+wP z|MMprZmbxMd==emlBB*7G87AM3O75q#+>+D$ncvTXOkc{MA_gK6cN&-Lj7TAXY-6n zrLR&?hj!lP*Q<8MFCz|Y`wALIv>&hch~Rj)3qzUfV+RhQtql&6x*=_8vh`1%w@b6E zAB>pg6wbkdH?v(od>O&ORdFjl84-Ev;nHoSUBB{P_*a9ssfFW0Fy-wkmfdbFN(Vsc2~5u z#&6GZ77P_1iDPFy7n*p1fRlK9*)^XyHcI+Sf9LwK2Pk#Y1mp<2pi?dc5j;moOMO## zVU3Lw?Q=reCW^Jd)0)KF|8g$M2|LzOeh47IY5BhUuM>1<8^xLj45OR>AtA@h#7xx$ z%o7{^SjL5PQuyRJwXFy&p;kV10+k*x4P|)bl%rs9BecJv zUP2C=E$p8#zbKE&uy<_hM-@cOZ)!eg+cvj(;MT)I0ezg%f4sd#7iVxM7&cE((x7*8 zYMxEgSxuV;y;#~y z+_-g}$@As{-m}iM$*x-9+qHFgwGP#C6XHwW(=Pd53YoVACuC zRYGJL$|A@Fte@!ySa)T!~Ri`rT1fo~<(33_-*P$bmcq}sy69-?7svgA0~rFlP6-2Cv5N#H%ln0;;njfj&x@Dy zBgM&)d8*PbeWHV|%%Z5UMPqq3gU^#m(A|K#A-jCzZYD4-jq$Fci6IAMX}V19sXK1) zKVe)O!!y1_8DwcfqCY0@*w2O8v}cl5Kid}j~7ahMAxh5kv@TYc9}I?Fo;<6XH+#ar<2 z<12rC%vLh1sg(%L{Ic6zWEX|PUs9})r5hwOmZl>v1Esl!p*W=UPy2fj6AQy9CgxpO zse{RZMDBi_(g{DlIHf!0hM}zueELIWuKt!1aYb0I`5<0Abzi@z-)qfl9!B~mbN-@s zZCOYzG)`mj_dICtT)DNNlO>;MRs<%F)fkJHjsmKo8SQq9A71y?Z!6*jV|F&WHV<1f zQ^!L`55LvOo_G0bDZi^CHId;wj~BdwtxTKjPJC~VfxdO4h^;LUy#G(HuW!rCop7H5 zUJ=FTezPkRO)t86czhF?M?KyMur^rSlKyUlw+G&JEw#Jo)H%8u-IcY2pb>s=+D(3k z!WfZikHX+NFud`fnBfUE{cOZOa}=m6-5VPDGl(qc2^Krrf447Nh+xHczz*1j_bYv^_hF zl@s07n%y>I4efzy9`2zK4qdpHYqR^q%G$yT$Vb~kml!b-NtB+EqJtPjIZX(;Xtou< z!2C;8v57QLA67PCh`xEFz)Z2LDli}P`{YW1*9_GU+oOS=r?6;5CF zv@76W9IaEA`#Q9kJJ}$-&s-p;*_6cYhXy8B!G%5(B@%8T0YPeJ5Z*2EFbNC~4H%zeRB|*r{WeA$ofoH!dk_ys}eRT=yOw~iBPPIY!AWpgv zTZ5mAy;VTcCf-(yCvnUt&UqcZ@NUqeJE{k5DkC^(I~!nf1NT{1(xCQnL8Ca;`h8u} z=-0Y9k~;dw=qGfRHha>Wo5e&{4cb17Eg%QwgBSDP-td?Asab8x&D}Fl*z>DAvDeFy zqm`OgG7wi^pv_wyAEkD+TCqBUI{RKD39sYwh(+0j2sYf>_qem+qS#Ep5%xI0gB4k(hFqv+2lu(`$X3CPk zH6xu=LBA3sf3E>hPBE_$M()1Mu22<-F zp&ngpO_75Kl!yWrCzWAWq(@utgjl&Q}$LKoUBl>}!uM26xHhP1ohhB3BC#JDU{ zq~TK}$&iSEe4cMSnh^!p{?0UZJx7LUCFuRX7*VCne$1^j*T%vWn<}Mu59ob#C23zd z{k!>+reVU?5iswtOpk37PX9nL{FYjE8<#1~e&#Ryix%IJeJ}A<0qrCj<(0wsrd93M z2novIclkT?{xgcDP9~Zy8*sL?jI*7l}k&y#(b+lOwwsT zu=qw$ZKCJ!%N@}D;j@*fM0>H}+TPJ|`ZUVk=pfNF%hu!b;l#mdUo4lL64|WP&;SlB ziJdnk95$dTh>Rkg%~L-aZ?(_HU>P(9dtP0vgZo>&zPeWiwI&9|UQ6SM!1Rk+b$C}6 zOrf1)Wvin)1X79n-Dj}tPc!!oTTycVrbniy(S(RF0om+FGVReb!TW^+Zdp%30<~})9t@!CFca7@f+^|nGqmjs&C;xjA9HsiG=R$;PEoP6{e_}M-vGMAO2f7FyL}l@8VtTL4@Qh#Sy?)h- z)7%}f_7E@=5kTKHIo15#Dw9g3L3VP8!qj{O*vx^Tm%Wnzw zH2KH(KeHe!YHtxz2@q^veR+;vS|rZn`Oi8xuHYNLc~Z%p&b0*WdG5r?C`)FM+ToMg zK0?xfmOzbgig&nf(l^@2G5Cy{cKVqajRCL zq;xdn1lB?R3t+)|nP4peDv2r^zp9yC22?|y3UnMptX(OT#RkIlHo4y26$gKg5&RJu z(XTF}sakP1VxC}M?Jowpzu%&R`gnUYBz8E(u8+vCKEZt7oe83a_mt}=Cr6JIsu;2Y zfASbSF`P_f?5(F_%E#*B$(j+BrpGT}?!iLinx%dLOUvR)D3%;4DkeXYuYTH+P*{Fu zd;OUNIOOq7l(~4?!_=OS$!G2L_6uI*bsS%}78)Yf{M_8#+&sMxQXgNBpE|WRf|ggi z4Oq!xB8jM{?0Ck}1YVBS;UqAmM1mrpPu5-oO^3k{?e;&FPAy$fRCs;uXx8=`;Gi5+ zVyNQZ>s)aHxn!;UEYxyT$N?l!*S5mFfN4ZV&?JdodKdEoMh;8F8ZX%lDoS}%^96OQC#=na1iqH{ROc(mnW~E>1?>YkC z^M{&d>DgxoZfBVX$`;WM!EU>OlK%^eC6BtM@X7DSjY5*B>&a+!JMl9 z7hqI%mEVW;dj|7j^*$rmGjf;8Btf$f+!fK5r+f749*?B*wI! zh~|XAzZHDt7yCz3zxxq*#TN)W0s?6{ZD+q77f7}VG96|Y*gmgAG924Dbl@)WyEN?`PzV+%IvFui%@d~ z4av8IvOFI&4hTs#KwWKqdwdk!J8p~5sa-emnf(54d|M?aG%d<+rA{;eaBMSS{bEOb znaDC)o#=_QgU5>0$~dfyYFm`hZK9>t^T-_(=Kk72zk?QjJutR%2!6x@-Id0a9S>0E zC5ou?%X7!kX0Z)i^s^_wJ0*V9?Ke-pn}c>Zis3ju{GjKoGQFfis|;%kj#$-N=6hFg zhO!l=I1DsLkJvTsKLwjlvh_SaUS3|tgPw*Wj(ccG>!UAR=AYQv2$|iinvkWr_Y$YP z*eeHvULqtyrym{+ZWJL}2E!kq!AKY&(C0T;*@n1KVbCAK^<67pm%20<=Fi*LBsNkP z*9V)YPQvH2M}F}F!jw{Wq;;2?M=FZ=YI&P!J2mGZ<5Jv^0eHdRWX>%4lDUB$Zw@G@}6C< zkpw0q`gaU=hYRyIgQ}?y%CSncBDwW+vO46#x|A`NLnN*a{E8id+16hgYU361x)Xl_ zXWtsfJ!jjnF!5`TVDx7V2MlU0$x@mh2|x;BWn~5C$2SsR?la#`tP^YW#F)JohMG^2 z9$DC$ZWfLq&4dZ0MB%|4hIBsyAVAAe>0s>@pA2nu9)|3ya38u#rpVjP`oO23lYa3J z?k!7`ZkbMfPI26UQ~@-cZ>d49Y$WQ-j5Cc0&ceUUO=z(D*M86G-74{68z!GGT^}wUuf%gtWj-;SL!GfE?YwjWKMDy)P z%-6ssM9JqZXrr`?$t<&AU)eOj*TjW3*(gy#)ww%pA?)PetGS!C9t#K*8%!f%e`YxR z_n%U*EiqJv@Sy!CdvZrdwS0G{@V|uZ+?~{zax)gslL}(6O9G!a@9j?O8A2GT$CsW9 z94)tZj#iP8NUj zh#uebSef?{@peAWnmjB}R_t#=IMzdIkq9S<+V7g77gpj(mc+N0y)eDwYD8+o za~sl=*O}G9^;4C`wJz&V(L&iPzC1`ZYHG21pa$+<4VB3)!JEHq?P`I|1mOz|8j?2} zl`p#J)~MGaC5>Va=P^M$(?heb#beksaXhhCdAju6Uv-W#l{*ePM|}D_9fg357Es5M z|1M}wBmqz0>pagp)Eu!RQ~S3K@>lTFhdDRI{f%4F$A;0$ndks?{sGwUe;yvZ6&b?u zEO%lhrP?ls$ODy+0`&x8nm0~Q$2e*{?b`d_0gRnS?Tjm#1X@K9Qbpgh{Y0+8CPLV#3xfF*U|6V# z%lzp`GfUS|$VdqosFSUD2ju0dx1?PfvOK zzb~Em409O?T1LlM&$Dp3OdE_uq0t*bPG0T9z@gd4udS8j zAqNOvLHXXj4b~U{TG!vVLqyDkTdkoDv8~k<`P|efn_W;nQ@c-xhE)<3`9Z!#Uv;QEdsz%jTk}obe%094i8cMlz?xW*B=D zw3$Na@70oh87$g&|2%gU0t8?fM2Q9#ru-95C{$jb{S@!Vjdfp0qhbkP$i~sTWtp(0 zFX=C8O0wp40z-2_2~j9g3uOG}Z}gc23rY7e-%htq;=-rIV^l{(%(#=`Cj9b-D@<3( zZ6wi=N&h27VcMquWKO>?e)y%4XH!Yd|7UIExxl@;v*tkl{GMa#NXcG%<^-^Y3Un>% z!1nTVwcOPAZI|1s$580l1oKr4qikpIk*48AF}3+@q^~cKC){#%05l2tgiyhIvk$L& z__Tgh=-%adv~lxWO{60m?6z-FCR9aUf;Trvf~2EYrU+X7PJOfHw*sTj180TznJJ!I7b!0yr@UewB zbp(A&__H5@T1f&2qORP#@T-$s52<$+J#yGsm@n7Uapq@F-6{b1e`R4|s+J88mY5gy z>Z@mG9uXFIDIcCX1TYxVQQq%nF{N|c9785@<%faO3Gf(Fd?}92`5`ryT~)5?o z0iqH#(fB_0alDAXDYi$SnMGW&q6E2Cv5b;Qend*BSVi}J#MrBCTR+GZ%>35~JtR4g zMVl5Q!SvIwM}|0dg)bcB!MZV0DptiZ$eJY{12s~@zKiKzAH`Opv>*xD7CTgu{@42&)$TxE5u5$?Vpb&Ur2fNTTU@YW zMpo)|?dwcWVQAmWe{8^A`Fz{bbHm9o>svKyoMhIGeT~rC*{RIHvB)qdBtva&ZQalQ zU12;|1bCvGygkl+7zZK*C3Db6pygn)0+gB(8$AoG4R~MdOFpm3-4oEIYDQZbC%L4@ z4%X>1l)~kk0TorOPkEmxEtiUqs~9gQ;mv=>Ni%Hv16)^mvBT z-@a1^Me5KeM$;-Z-h;IcqvfaIAluoEQ0hsJ=3Jy!Mo<`gZ{9EIZMN>?Asg6Tb-n6$ zA&AIlC?Uz;hWVF74H7Hp%gUf#XM}6m%Ih*&;A#WK9bFVXGc{*2+c!tV>HR?uZL)p0A3(b;!n>>FnZJ*hcKoZDpYTW!v6ft*1JKMV8@9YO z-I816P){e~5n;UQmu&oU+loBe}qpA|xDTH!oE$!HhZ! zcnRhByV$(QU5gdiRH$XHo$|;}VEs9|_-utK4YftFXuuHFpzEkkU?SOto+A7nOS_tFd85%~V4H?1u(!PZD z5qA;GrYiDQO2fpM#mOWI9XeItd4RCI)H+hpSfXTMo~+52^?G^f$6>IDi|NoJv_|vb zJZA}|klv=K@ft7xdV`u@v|xA~HT6;(!=;_|z+9pQ70IWB{lgX1wA~$1B`2{syDj}rGMIthPc4zc+^3ti zK~9m9A}7D+v~R zj|-ZhhLy53?n#deMlv3`@jtm1JLXD(P?frHb;iye^;k96mHGa_sFZkQqCQXZWykg4 zS)4?9_I!Vm>Q+Qw`a$o%mLp(?OlOB>Nw)_^^ah$md9%>SajuX@V%4-zgbyE(J1-E1 zwg+N9UB3ZvGT7F(wu|DQSIAvxx%`y%@0oQJFQmtm>vy*f)V8e$%`a=<6Nc&O|GVHK zz6C6}HAlIk{yyf>s;x$~%S*>KSJ^GONnqN(YvBuqlBXrof018uD9ej(3ZAkt%eSV# znli;luGR6$c%*aQS#Fe+3XOI$qYNzs5{)}5Ff*~jey9)1kKIielADQKGz z6tWoH5@;JrOjE@jEVw$HJO;BkPfCIn3K^FiF>DBJ@INZc$gunp@U79xWL1|cL#ExL zw>=2$jFcJ0{(3cJy*TI1FYX!=7uAE66cRwa$dc5B% z0|6B>)yHt7M=t)7bKre#u-9w;O9&&YKm*@@K}6{Nx+eZo`W;e%SS#QP&8_Nf!uFaX zFm5KbXbE+bUA3@cWg~6~w5deAkQifPr^>Nz$plfvXL(0F9*|AM;WS_k$=g9Tp~s`Q za)Txi+@c@}9C_ULEHIp+5Qye4b=Fb)0i#TkeX0Okt^CaCH>dyP3}p{ z94`bLa2c$ZIg_-9Zu!MxOM&XKT`SX{u4KN2Rz^`AU7Xj}nbCO#DZC7Q_}Y++;49ce z{}he+28cMn(NwYUr3+)eLw(FGbO=&FS9O{**jkTpGOu6lGHfb69Q1*5*C*jkAQnJX zRNL+6a{kyKv1cVyWJlIAgJBB-4E~A9jknMyM$DjMI6?vN%poQ}oVW@lL3I=-R+;aZ zLOGUm1qV1kX9#b$$I_nE|Lvd~MI25>BV4m`4@K*h#ga0>zChT!YIYIM|OCTr%ZN^ zd-pZvVf1GqG{_q)%}l>g@(C4;X`TGH?EPXh!w(HBA!rC&FNOrewEgN33fTLb+BeYp zMn8(OqebaQP>#dLFF%3qb*7*+wzKDhqnicx>(8Y6)p$UkX!ngX#)X`f>6vLSV)u=; znD6CIT5Wj2^0EU^;triZ86FRORVe@DESn>a;jl5P@|lsMEj}t|SiFHMGdnzM6f1tm zHRURW5ijQ3#iyuhx6?nF0uSb9){dg~3_N>(??U$^w04Au;>wc~;ZI;%(4%qx>1j=H z@zg1rTfeoH;J=zS^go8*Xu-a&_f+WL(}{)Vm`cLgIuk<=t($t>7Q-~u)d<7rp&8VS zf87zLVzI#KGljZh-Bb`k#-_X_CG}|}uUyVo@iMA}U9yQ>O^pJ_Wo{RtEr-^2vW?xC zy`nbBVr%jj>mk}dd0$S8np#)Z{%$tL&7vS2d~N+0lE)2a>~eZHFX`52{Ux_!BM z^iV<`;}V3kqZxV)Ok{o3-Ooa&`nPv%ZKSuf52mhqvrtf~)b;=!CoQaG$ko1+L)KqDTnT*_}#5QyXO zHReN#2g=r?t#J6lo=Zte>b$(V;;3=yX;rcW4-1~Ls(`1!+~eg=H6mA-`}Oy1L{!T4 zjy&O`u0kqvuLbhdgv|^Nf#%XpYNFoP z9cx__v@d|*9GfO~cFA!vknQBei;oW&EUa?sekCL9`x>Na+nS$-H~f?wxqyApvtJ?u z$j#NjFvRO_H1a{Wa!grQ-+6jVjsxpuOR4%AB_B6#aqtIxqNZfSFFN!+GD?;|fr_{K zeku>TnOC-MB1BDa(c5+TsD&uY9Iege((&OpgaU|9Twkq(mV2Meor*TFd}pVr@o=mg z8$(sV61kDK$e?`NdK-rfEzKDjI*Qo`u6cY>;Dz&VkDhlY_w-%hRV0ezy~Vd;Z%0us zIx!U-OknQj$5h|{%tdLsv$h88k||xiy&sMj8bVuqwWyvr_8|K_zEy;%uUm6xp|NYJ zl;rN`b7DZ+2LPn-4_cB^@8tjhnnl_aK025Uj8 z06$b*>|wjCe7*Tg9v_@w;TzC zskWD^MDYYZUnC)5j8*qIa{ujgHZJ*uF!KY&kh<8-R zMm}g^$tS|4y^Ii`MPA97&OSj^EH^Cdv8&M7>RNPgPxYrx^WXhC21e7Z^rd_O=G4}hks z+uK|Gp8KD~a#2kJr`G4bX<yL zQr__?(tZU3$A7Q95dVhCg^jFdBnQC+uo1p#u3+vkAn51t8zC$pdDcbhekbp@<6PU_ z68N9zLlTd)r!PAdTQ?Zal3OGnM+J!i^DAVDV*edArF^1dweg%p4D|tvS1LRb9O9G= zBTyKTPXK-|3pRu_(g&+dy_;4=ZJM(4pbsPHb>D3&x9h)dl20@$U@W(MFR_N-RK5hw zbY&GO%4*VI-Km+&J(kr2X%6?kBY3P8*9?<)U3;6cYg@W0`MXjRr(Si`uK6y_{A`PQ zP4kTD#Xrtw8xH+V__W8@)f2(vKdu;Hsr;@tU`41-GR1d}H){j#%bjUjRnn{zYD$b& zt%Jj%)ifL4ig}$;wQA4GlRd7UCZyx&sAFV=-kQjseR)j-gS}ev{Cs0;?d8-nyB&&r z4RjTtv3MI`M)$E~!d(pebai(uu}je-RG&rcxSAc;?IGDxI==!$o4slq;M@dUNFJgnIdnwL7=erlD4%>~(Ld!d z`q>#s%pQdr)mbWUk@63=-*ch!^uu2JlUIkUCOOX$9S82h(?*h{5;;sIDtMX`)6U<; zuyse)=Js?iwaQ#l+t3Mvzpd!~gH*TInyF*I1+erEAF}O9HGyak=fR zd)b~ZHK~PY)_gBKU!5)V?m#Pxn0BcHA$Wx9y}wwb8kWH7_936Mn|Nf*DHmUr|d;ud!$GtUFg|QoJMWWVD2VVU4mdwLbZ)8pDjHS)ClzZfu49 zI%s=Y<2gxF(N^O~T`tT0;7PRPWBTtf@7C@B7Rn|l_qf&P6-nvG+~yP++`T=e#@;Yf z8x1L>HIJi*4eSm=v-b4PwE!8#g^i|)$;!8#)Bq0;^!0}E0F7bsw#68HK2X4IgEgp~ z)%WG~Bk1$tio;_!TggC@Ce_mV5cB~Sl{NK4HJ-nTa%m;k@#^DWcP0q%!U$@Mwrp9d z)=^^G{u9b1aykxX{RInZ?e6wJH^rbpmueX|v)TeL9=CTp5%PI^>}CgxmZXs9dlZ4b zFE=`($E+V8$A*h*!$%@gG}+AwB<%*uJsaCQ{#s)J<3bGQ&yuyUPg{tw_TA$fa{V>vEB=L=l+Oa2!Oc<*yyi=}Dx1!ps2TREEZ-;S>K0-2KFI<1BIq1I^9KOe zryBUL!EdBq(~D(9^-%pciD=&uVh*jUym~{7n1EQo@AA~0C$|_CdA0Vs6e#2^J?Cyb zr{V1VJ?y!C>4YB!Q_3x(SPaw_8F<0=3Ln(-deoC!9_4_q0wNO&IG(E@j0BRVO}iOE zn5~!y-!RBU2fEpK-ZX<$o)5#rD6y{K5DH*zUIG6S5dK^~y34;8(U(E zbmZ+dPqnX=Z-;>oCa?G);2himR5oKIs^DE%l>W^jtn7q8QgbjMkG(w0RIU#g{J_G<9ns7yvo_(MhR#< z^{8xWx#Wrvx)Z}vexM}*T39|RJPTZzHoT0N!H|Wh0+i)2W;VotSg#h>l75jB6n|qg zg}&&$)Tjof*;~F73a7{UZTFvO{po9R(_@uWju`L3@T$3Y?)5JamX?avZ*>$D;Y12A-r5EDBUK#!jg4@6}f_}&j?{22X?#m`B#LaeyoJ1#2nZ7WV}SN9vP z1&{ff_?zhZhufd!WxS*yyp4#Fk4*-oF(p?yNqi0=?dY_hay%FMwa6Od1Us8@92B0P zng=R6mre@Fuj4Uw8jKLLT_eChQf}K3l?6xtR%*@zZsg=&Di~HEv%Xr$;CiNJjEpTT5H4*5DBD+bK(!wnIdbby6x>5&Q_3#Eilm2^EPI-a z3uy0M>7aR~{wRl%cn4L)5cZ=r*&jb482IV0krX>MMFkoTZuQ$8lv@T)$icUMaK$xv zpZ<_dn%|U{9Tug=wIR^_G-T*gKT7#8fK*>o9%X+)FaA7pzXxv8K(-IGMTJq4Trh=N zG2%@?Z=~E|ymm*kC+)tIhooYP*29^M_HUl|A$S*;=QfUfMkof<9;nv;!D{c4l2^%D z@FQQlK#z>4B7UE>7sw!I{g?Fg>)S!#W1bJ>DqNs3huh*qVtrscUh(@xF;0!DfjH+^ zDD6!k-~utPyRYndWDg?8_n4bc z-VOn&YfdevFPr{izeG>yT5+0$L4Q}-vkrk6^Y}N{F@T*e=vD z$j^j$Fh74TcENHTB6Z0h>!{Bq*8-kRe~lLkb_lRc5*d)F9=WD^>umKlh&zd)X_FAQeTCntsous%HUplJrn@FPO9(yqGY!2!rT7DKwZM z1&_EnziYwL!48#;@Be@yz?LolP5FGy+ccnuuN0C0x$|X=lzA6r?_fIb(^D=`1lh7O zl&452$*$shH>DZS*sm<@wS7Jqj*vc-7Q#1N64K!z^h_I~jCt^6*7f0{vlvDNG_pZ+ zN(^cu5N{OuA}Rh&>JObnCWZtT+@|UG7X{(`c#|)7mb9Ryp&w$3{?XrV8p)Y(%4fLW zL!&j1R;wX*ePVsl(fWJ_xm_=A4`y4r6;G=8>Ixy-1`o8LeBglBc3_q^g0crz>*= z@|Qun?z*6&c|P8o`PwgY{%c%r^2*FRY8Z07AO|2M3*@XwN7S-OH05#m@O`fePLV#v z&NK3{8ZhIHz5D*-?Xu^Y4g9<%_F9y7hd}Cw{~^{mYwbo>@K?4nBd|Z`q3ayN68<$~ z`tArr)F~hbqN0t^*Kpb`zVkobZfWV{UIwSvr|Wv3BsOaS>ycIhqM)d6GNO>XaM9N*GSA1`R3ndAsJa5Qi)h|#m=RONAOktoq;57#`lB1yCIeQy zm724N`lXeX$<2$totAeZ}07q|BiW%{G9 z1?he@B=-;Ffk3+N$}{lJ^Mm8FQr5kI3V(3ux&04Y*!!iP7sFTFgtv{rdvefo93a;1 z?@;AF0a??--aEh&93bLDq<(UskDo(uH6%6^e3?2y7i=+hJy`W{H7>^I(e=CSAwy?~ zj}JglgrgGtoX6T9P#@4p(Jv-Nc=@=x+!~qq`dgzzk6Bak?b76RlzQlw#0lEPkaVnj(x2*Cz@e(ia&C^B-qI)s$fh|XD`O; z#bP+!XXV8p-SbF=l&1um6QjG?)Qgv6x9lO}nPtX?Qcwt-0-Tg(r^a8#(vFDV z(;$#y=-RvGnawAp1yKIJIs!bFI>EIT#BHomKQYytLIzb=@t|G#qR*~r)rqgVp*bLJ zL}u--a_6$LHm?#&_4hYSoWbbrc+0n*C$fa>_Yq1c<6;ssNigCK9K>us8=6pf)11`+ z$-_WYR^?$fJQQqRwY4(iVGbeZY@};s^%+xsZXJ@mg>_pYcN|~?EheyhO89s;crI1# z5L-gK~}Vd3ieYxEzcUl`AWnM}{V4BUmNvdYB)-@z`C(ni>=x~>65L%0y^ zw`se(b*=gDJ@+v^_x})nk?RV!VnPF7MuP}>RFpr{s<{LPDbUo-1M8fWTdvAp&QcZG zOX;CFjgQf%-Xs41I7d{afQ$9}2R0=JajuXS?T+EUx=lI>Rgi>Y#xD+_-eY41g$Xd6 zj4#Ze!JGweTdfsK?F2K5wa%d4Y)-j1$wxAArk?@8R!2)H7K>j=emmPv$Zz2lPcObq zNLq7j{^XI?j%zUgCz|f(n4eB9N(>c+KT$LtT8J?h{*R-x42$aPqWI9=-6 z$AM_fWXk*9n#$@p>%i0d;jnKIA7*@?wmR2?6ueatz%NshUnpy6}?|8 zNYL5aXWK^I$~4#=;C$nrc&|Yc6LyS*l@APqTMA=hf^H;eWT64rgb9@J!F}Q#*(qOH zt0VbE%41?K^$jE~kWUObSgQZ>pLwkg|Epa2NH2F=18_F%xx9nmH(DP}==KHh-dU{#Pusn)ph<;&Nfg-a1aKzPyfB7U)Yez%r`U z<#74I7FfkSX3D}9d+8cuJVKJm6R*iENi8|PwaPTlk-bN_&>W^V=)DVF%M`gHAqW2K)lNb#=v$Am285hjjk*$cfpE_ zA2b`Cj93+uiYEMm$mOzh3ba#mlx#Rg)ooezVT<~8W#y`oO9^&q>ndpJR`d`O4 z0MhMq*mF)@gG~W)U>p4Vx(h#sF7gw)OPva-Pq-iYbhCBJnI3OvVnWD#V6cGarGV$h z^;iG)KTKnHH_% zD5I7ynSS{l9WE?7Ut0-G%W9*{oi-fXfGWX+Osrm>hm^#pRHklP zRaHRvzR7U~F|@whUsgIg9;CWLjbL%tUXfw4oyjyuVx;Y^Z zgz@&11ZFS2@1iK0C&P9k6tR_kY2m)x zF4lu)sk4=2%Uk-%3Zp`|es31vTUqz|?_HrD{zGGM8cr&~LuzgM(7<#Pb$9~@-1KW+oL-u=B@zaz~0_CI5NQyHrr@krPS+x>5q;1N{n zH9(2o-Lh0t{$T5gI2S<2t1(bDZA9U%6zjVo4H+*m{-RX<-@?YUPzXx+-e!LzHl_q- zQObx?OtduX)5m&V{QCCP#hNYTfmn)CSXkPYBmx}n1J>h9l4g~@Jv&^e>d*+YkXM0z z_SYwerIHjNAj7P-6!LLYf9!tc{`k)qiMJDTe*yKoygDO^Sm^6F(eWcjxVt@uAvn^7 zu#AG@_t5^^*uPCO_hRz2qb^WPOXE@AozFX{mrGOPkC>9{r%GgiDvC6HVmMJ@|E)y6 ztb5;d$WjAu5aph(L3a-rVge*{wPM*^3D6<)qviVNR>LC?F}i$8r7w%O7>+=mbv6}1 zG-+u+NM@#?`4y*D7|?@x!U@Oc)1b={rAHFO^QU@P8qCFQKq;KA;8h}s?LT_qs=(m{ zQkkY*_S?}^Vl4sC-RJF7`qNy)Oa4l1NmRv|*d~m&mq!|eKQ0;{WEG+AInpD%xezH> z{#{6y2>kSVI$lUecj0)o?1?6S#OK(@I27XYd?+)Tm|T&2Tx{@9VUmxuDFrvrZ!zCk zkUbPEW`RAPf%J~`FN@3!Y+bi*>ZC%oqb1@-A7pyxpN~Z+G6xQ0&!@V7GPVGy;xcYBdg<@r*UQ%@352`s?t2PQ z_v`cN`)n+Wo7X=9x9j^H+{?X2$r-ol+i2%Niu@-f=SP1>{N`@}1{^W+c*|xlN9Jk6 zsKZ&rrDKv=c<(FyRbHX4W2>Vx00ZfN3*<=#TmxRbiHQ%BnXC9aMrUb)X&K96a*dJ| zLgLC0GLp!9vYoou5X|oxmP7BSMv(V{NxR1~xg0a54n``nyFWazB?uC9bPIw3cR7tv z6ib2&%(4n*4PR+_v@ZQTXPq%7Nv2YN=#mU`CMJVz7QbU4TEO>RlrmuHo{u&Ds4BFr z-vG}#L&n1sr=zMTpK^4l1X4_iifX~2b3cUrkjeK|HG{ncH5jRD8RM`PHzl>oyH0HV zF1j<66)G_$CB`6EvcWe^u}%cCTOx>aC#VJkWh$O{EFTbGpM&U;^t$4gO*7jfw|=jn z@z^$~E(%3lL=;v7=K}kG^5j$f)Nk~4yxs2;BSl}v0Ld8ZG3?iFmjva(?oAU)jS*kh z8gs-bYJSN~ccfM&ypV)McW38$I{;B_Gql6OWX=89_5Cu7sr6HHOG}GMU5sauO~T1s zXy8wr;>XxoQpj@EcS{8kD}*FQMn*+k*ZPoX{b%_1#C@c%R-)>%e-rn;kVB{cJP5it zFuhZk9J~quT_Tjgkm%JlShgwV;qQc*E{(p(PzZR9X6L8my&Vk72>;Z`BuS=RsrOW# zNnIcdKW$n%n?Zm4_1WS5k;k)lqoLcMg=@~)GHbp7@vA>4$+bqzXpE^F92!cQEnFS_Ay33|XqVkHYf&V55&>0m$yTivW1%R4 zXd8GNjrF(=SEowKx9f4-7QyvYM#{<$nOfJt5jvy1OE~DktlL6BNO1|Ak1x7dDEC1G zVV|FwH-7R^UQGUf51RuL6|1VMo+Xu&U||Dtf`&pQ5P+X3J@!JbvTd8p&BmthK@qeL zFMvjsZeSoy6he$Q!dh;|GMssj8uh|D6jDu|2p(wzJTT;LS|;{pqZ^RyKMkz7`qgb! z6yblf<&??51)*dlQEAQDJu>|GJ$+Z6USh+JgQ@i0wo+sK)V!ltH~aZ7wLgS0X76z6E6|Bb z66Y(Ll6d|5FFsFqt=12_rIFF0(QLFlkTs~wm~#EwFCb5F^T^&gQnuIf($Y;(scfdm zF4h&vq;?qe*?%`hbMo+y!&eWFwOf&eHlz5(aes2W^mhK?e^zRtrmO>}AroFutfAkf zjX#d0BJ7g3>X1+9SmUL+br4%^jTl96ObY)rVUU>hXu>_Tn~*1j-yO%5l3OlWl50%p z$S=I(C17aiQjb18ZD$pcbsN{B4P;aZnpU&w;z#1Q_n|2nnlTdtWu(tT+UZ^NU8 zfmtlo{L4FzwZppCk!lp?W%HL7&#+aTqv}ZAUGriUxz8`a=#Oh34F}(UO@a6f7pRm( zy|I8=V0Z~QD-nS-MSpc4lFIz`KsWYnx^}w_skdShkqoQ#t{w*Nyw+|o3^zGq`x|Y3 z@zl6bIa4ASk$BR5vdfB*qo}hG8K=p_p=2f<;!FOd8Gt#@8cPfw^A)V=QuF$ zJ@}d5i~R5m>B+4NHOtA4j9eUopC7{FACWF2-+}xx)11x8I(2mL$FPA75f*49C=i!P zE}+x0W)b1i)c(0)-Da#4Ht6>E>olx7vr@zU+5G_vC9Lq=4y<51%Kj?S{nh`mHjTz^ zwzhqTGl2a{qE#$d8tp`^HiP1z<1)lVyan@&=J-?YFS=@xx;goqadMZ>LOyRzZA^sa ztT3VXU9RvbK7@x?S*+g$J&g0a`zfqS0_{VGslQu;U_krV`>Pqg>1i6kTzT@f_^_^_LICa^U75{RIlW9< z6(?q55lm?NRl+A=(Ofa9I1Fl6wnFWPej6E^6OmP3-*(7fLQbv^!b8OKY}N7X!g)gU zhr*C6qAh{*i8<-} zZfmEvKj!Y81OZO7vtA!ku$Zku(Kf>urD$fg$)ay0m^=tc3b&cQS9?W`&#(=^utl;Y z{9^oQciPO)w=B>J=TW5Nt5n*9;I$t1S7r*hJ{@m}6QD$$Aw+zL( zcgKz!{R;mJC+--kSGP^qf34#X$^*X@6cJ&-d8T>k4^UtDy6&d~_6Md{lf^0>F%_71 zUI9~atU6@DoHtXoq^XVrM*|hE7JXI}d}EP}V_w*|OlP@JUQR-gG^5|`&P#Z1pg{

    1AXrg#n`v$mDrf33EK{lb~Ffkd$zYNUuGp6=t*!6u2q z5ND(zjZWBQwHnM|=&@q)P4>SGy4C%T>I_X4+oTHo5UiZJjgS~6KWtqLw8nG?KSV8} zOhs@5Ouau+R^^bo=7pPhOx<9|?}~OF)+coVWB>XCT5*}fK|Fjxw(&AN&0-b~b)uW6 z9;d(9oB20mjY>`1{(vk_^l%7u?Uwg+4244$~K&IiATu86RTqeWRd8|p%;n5nu z#UVynOKB5oRQ{z|mOK#L5XQqDcr4xC;73ILtjC#)cseL$td4|;R_>ar{Wn!s+GIV( zvS+Ww*eg;o8jtE}U|y(_#{l(=Gi7zQY&;zE8nHIPS{-W=DQYOKuT`CRq0S{tMt^(I zY=xZyI=Mu7w6^@4JfUXNyem0OOjtPBzysBt8r9r?9K{Cd?N3IP@%qfm7ML(8roLT* z`-c~=8_#Cff}ek#3D-&>k~OE{B|S@`rO&d`jr|I(L6wIJ|kZhLrPp;TDL$2G~+xYl+x}c7iheKHn6G*`G zp)tXArLlp?9fe~DoP2)O^*Ut|6<6-SRkSHPs3QeeI@hC~!)J``4z?3ND5yFg+cXE| zP_}$F-iL2Ix|T+@&=_DOZS?zHW)SUtI))#`8{&$zwG6v}Q6FgP5Xx#Op&n3*Ax1+{ zrJ|*C%9CS6N@QmcGUNNg!#5fysar1IaYbtqB~{hb!^&Y6{Bv`J8{VC3Zo&}vwJ8|} zb8$^OJUpqKkWa!|7&mKEmN6kAA<4=AN-t0zelc2egRz?JS$*I?bWxTQK)sYU&+`~W z5{nhou{{Rbk?rv=SCOzD91`XMHrcvYM-}-)}$d zvb20N!=({_A~ybk{iGXU8Z`dyd}Kp2Ix>Wk=Z0OIGyFis1lAb@Qjit~>o^}0i5a}8 zpXyR~2b8=8EaZ@06H>D{>T#@V9>#x1vWS{+h-eTb&W6dBdrYh-`#J%(518rUJ zX(BZRUe(!lx^Xz}$)9!IFSj{cX~z+3zJ_5Hbn_i5+t2BxA|B){6BL&eq?*>AXgz;E&h%-!o7MEgOXiD#S8 z3@DBpiIUn8cdC5e2UUX3>ZG^J=SBt;3nt6h8G)ohTT3Im8&oYFtz2Pu3%z+FCvbFK zsP-CNE;E9yfOUeuhNm%P4E?}2?$&nSTJZ3?XR)wN32jIpk{hz3?9(Yu`mFGxvsVbK zaNj;pFG3wB5fLle-1$QzG-c z<1T2jtGspJ4kO?H_AgTW7twEu3g<5OzUX=51(2Ik(eC~^ut(zyoVGk;W1n!OE2r$B z(P1JZ7-T4B{SLYP{@bg2eRo5!MElcE5;`7isSaZc>`JVFoj|+s;ojW~lEgiedb7{u z92orPXi=d_;-Ts-eRgjSqSZZ}OZltxd)4#xr!#2(hE)4z}T;GyhJ^C4>_h8Gqw=|&nlUU3jao!JlOOmfI&Ty248DQ(4 z4b0Fq1Bp#qt10Ki!$0OqS;7&JspQkXL0N!*l#?JOCi0zmNH54+%(wm8F=lZFKOgotvx6~RUkP)w-kQh-S)JdvH z-PjD^_lo%a%Z${!Q1!IV;&MDG zy)^t_L3cJ;jRzRpD126{QMGZ}o2s!odAPQ9l-u=Wq7jlG9q!*8ZrPa%S!^4O2sI(f zdp8}`zuBlV5c~a8ErfDaWj9_Ckc&Nf2K5O3b+FJ+whqFFhrP|_e47cFr~n>6)D2V{ zcwJAJ{Adh@!7RySP-`=szvM0lSMU-ma~ce(f#z^CXxUQ1V8pg$h#=GA9AR{tqkl51 z$hO+cRtRpN8~Q(=?j`my7t-LHM<`qJh%}?`-KN!1d=lx{wr^|B=@F%ZzNFjr3c#N; z?Uv~H>Zk_ZyZt7_kuH|fs*Xg{EIlxUNJsB-dt!&SKv+hFyv$3A*;Y5NC#flI{hdC< z=#?sUcn1MP{L1Ug8ycge4 zN%_tjL0_?KlA3s_a1xlLLWraIv1mBYO#=V)<$#<4j~fDcQ%LMQudfIOtFPya zUvtR9yCV;vaWNUMbU+L5>7%jSGv9{4ODi6d*OHnilGUYspUAGP1HsTKg|X*orve!3 zG2Q#>TB`iikXFR^m<}AKmHdmHa$NzQLI0uzou{#WJyZ}^#KwumKUB-h%hLxZCfcC* zZKTH^2E3lWcEa?POlyrvE}LHlzp5aimG3w6H5@k~MIg1k{%7UE@9h82IBM2|+XrAk zWKfew27KakBrfkM$pi#Dl_R<6LXE1euo!xBP*6~S$R2K4bKzWK*_p%ZHP3%>otr zhJKCZ_TGaPI01h-c0X@M(AdTjIL-VsE+iqttL8s^|7$5Ix5O?&Qai{(q;|aGo~y{s zPJBfh0aB^S7L zH&NFhgoGjH3m`|F^3IBwe5Z#V;EG$zhwF2Nz9q#ZiSa^phX?CXy~HFIvy%*TN8=Wi zIWMK6==8xia#_k)*m82-v=6i-PM)i-Q)E)xR zm4Usy;R@W2TUhQne=&^Sp0|lWy{irk%7aAdb7t zQP&rB3hwLwO0zm3D7jSCn^3bo|*wx#t1FbWf^XCgjNQMG?aADfhOEV-&aWkInFpiwX{m-QQ-lN7vq>s^%C2h_ABJC!d2=6I=Xb zP@i8+S`7zexL^V(wDd89qVL*pef82}26+)HVa3}-TGvNMnDzs{;s|2l_JwU1nKEc^ z&xD`-9mS1Ax`SrcDn zUT3UvY49xTr3dKj|DFH)h$kfEWtj)~vm->tw&5FTYep{PqfSLKX%Rd2ZX03bbYIa3 zaFjv~AlrL;0yeXL8(l-@a%nwNo^Lc|$ zmqZ^6fYN9kKMEiXX2i4#P6r$3Mp4pcbCuUOd0VuDQ|@Jh-=~H%+@69PSXh`VXhU)P zLA0MDGZJETTU5$dgWd{)naZ@f(0j`iwhPmAWX*{Gsb|A$OCkAkEx+LMBf4Wdw@(tm z$J6c_t{mR8saMEGZ$V3mF;GY_Di*ByFV=MY_hod)ts3|6r4!onb-M_pvNIWMl;B(k4{W zI7GwHA2IoE4TMI!6u6A(o+W77{1x-W{SI<|t*i(M3H7=j`}772lgAC~s~4*Mkp~mT zsej)6y|%X2+uI9_;kgR5z52e`<(Fss>1EkY`OW!maV?{RxM@ml!xHW{g72U#rncNZ zVrNfK%@*hqyH95w3%Yxl0*f*#0{Uq>aKI8a;WdOtd$?7?zwc!C^~zclw+2+VX%TWM2xSvqTv$jLPWn zszWY`{}6#2ExRl5`_{r*Q;S1!AD+d}CfC+p_V+Wz^go69G+jLk(JhVIC9{tT^B;le zc}cG<>xH!#SZ^t)p6wDDbP_{pV+JwdB@Jls5?AbbNn@j-<1&w!z1A!*t|!I}huoG^ z)FNs-cOGmt;t`8ZU*!n!06WTut)=%3rU^H4ZVg6n&$sLk) z7d+~97m|VnT&#gG^Qw{Om`G2WXef0Mn6O`eE-2A;&mQ4iEjd>mGL4r8*XSiX;DfiX zIQ7UjkH9-2$%2k0u0?K`tIeJAhEHjMpzs1(dR!_CU}Q{ob0Dr7kQpdT8U%7P3QJH zfASb4&|#5&U!ChzrwtGt4$0?k8id{3u=`RI4X;h!3JMGBbEQ8Sjnva7FcK?2YJ#oP z1lB1>>pEO_CxP?wJo4W68{UR@sQ9PP9>>tC=Nh`(?wtZMzxnb%BL;9AZ$RyQY{pS@ zgJvh4r$neKn3Jt_EIDmP)e&01Wo=SkvAw*}by{FaM%6bz!_X75(URD)zv!jWlLyC( zi)s>XyR@FI^(#(RD;?egs|KQ+LVs}kIDYuE$bSY^vc6q1PoA<@@YAUuDtsOk22+pt z>2uv>`Ei&G*T8ggC`3X)YSyZXVib$b4Xp=v59qaJm#P5*8kN4U~o>d1(OhgY$98op-~c9wZ`c3V=$xj zCnPdkct#{m2%d2o(o??HCykbSUvbi_!+1y(aa~2n?O2@-eWkNTij?IYc}OI%f&?_N zYA-G>@atV7*Hi?aFEexIM$g6*Al zC#ifqmUkVWE4wXr`w!P&pV!l^32MCGZ0(K|loO{Cl^oA~;zJIUA8(TRg_RZAkP1xu z;ky=TBeNju@`o)=EwR~XG4v3G&{d`Tsj8|PUX?`XZ2;3;Nc;|Tq0Q_56!l0iU~{Jn z*(0mqif^KpG=5ijYqD89J`xWz@kivsyG+R=CU1e*FvZA4os3i5XUs;_opI76+&-YW z)e4&w_)W$?`VN3oH3N*(1Rrz;NoYPC*o;vTTm4~63sUG#pV2m4u)mNthXGQBTg_ae z+pqtxoH(P?0)pk5ob-iveQE!&q3@1D5%F1~>vYmA^oX5)#*5eSSdtj(e1QY8%VGaA zzdAJS40Xq*^?>U5_eyE&zv zHt5@xV*O+m{8kBD;Wm8wP1!SC!}=+Mu6!JkW2@oK;~P&xE~fK8KzUs#A762}IpM#+ z*&q#jF@ByNa397P$m6BxLoyLvE3CFf={0CAil7aV`s6uyLRS8$#$wjhxFKf${Bmy? zv#sbajrx{qni=l5#IO)B<4$R<5-NS6cu1M)KQU1X<8aH2*b^rcWY4nhk9==7q3iO0iHU zg*>b8A+0RFWt?WMj1AOsHgXUplmpApOSIXb&;#XIC#rdKF>Ze$5UUFL=0hIiVnc`c z>2_W(DQM(t8>(4s^i9;6Jk%Thw}R$HY+n?S``t8_@y9r~0q3LvOd;r`Gv4~Vs-r0N zudR9#BxR1tV~;ogRg2_3I=2fhdiS=i9Dit01s}5nXs%FXHAMqH)Q8rRD`aaOLFDms=#P%%A9s&QkPr3I&Pbsdzc1%Lw{-j>_X2IZ)`Fl(>qnXl> zq}&wF=Fa{1=4mYL64gH)y6?oymbD(S&y1u|3pIqu74?MighaBTJvlSa)m`6b)L0(| zvOwhzf{9ay@ju%=iT}>JRA#ej%@FNV`MD?%wg$McnbEy2Fg@?V`^3Pgsn@bqOZqo) z+ezSroTB5#AnoTH%yF?@{5DObZ0s7+pv!1?lVDm+3vv_=*%ZqIv=B9IYzYSlZhk=t zKf?y|TNJvt-tR22f*-oE;ZS>hjERx(gU#?tXIRFh-66!BU5VvvZa*2x?L%F|ZcSSa zv5`aWxPVhIJ&XbqnGW@eO;#^@*aZ-)eCmxN9U|BOWwLyfJ6-wFD}Bsj+nt{r5lv?c z=b|w%r@y}ajZo1MnqjWBV#th|ab%F(cg z;jnj@4@j9fJ8U*iuRLd<XOgdIPipZuPbNju$a1+5x1@$X^sWR2O#2BZ3 zvX#Eg-JJt8MGH(d_4SVE81qK_tvb#cS1?{9w2}1R)$m5cbt7XBkQM)fR zr6eWVMTAJ>N#GCo;D!Ev&Cfr0by_r)AsQv7Hcf?*RZZ)}ofRSG<;~yC9cn1`AAe2U zi(<}UgmMu-N%st9PVG)_>*2bZ5D45e#W#g6K(oN;=rh@aYcaN<{JXa5#WqMJjpTYwr2Knrm)qHFVrgh0c07J?OxeVjC-F`{T4r^4XZJ-0 z6j!(yda@YbI6vYTB(_%EXE=iu^aH`Ey&)B(x>N!#WOk1xmI@N$Mh*`#8I>A@fws2W ztCa9nCzlKRcLvMk@Lr?nb+P8poz)$;7J8Q+^e#?L?=#uudPyQsO61%VZ&d|KM@?#& zEq^IAAD3dZ5ZQe(d~d9f+nGzJilR!x0fI%h!O>+MZFtzT=3MXA669x5!izrV?-l(N zEl9L6$^_dt`|hl&pl=<-K58rAer_+fa|#QrF-kjxtz5B$YSHx|YM@|;ZNyy}LFF8) zm#Rfm9=@M)xgRG61_?aSP3(?AOEH)ycU=>`P^&m%{w1I7P&k&&y?~eqv7~^jeCanZ z<8TYPGAhc~69rUYAkU|}xp}wq^)l}Xsr$mLOMPL+i57pz$KBluFEfwB9OHwoYcNaF z%H(eod>a}$>xpe#mC@D3Ue4WUJ9}yaMNq+SwNE2ekKStU9x__%#LYAI3;%t{yfUq6rj0-(4n&3}6>dA-V$My+4L3{s>-p;PP0 z8E4tcCZeu5&Q&5aXE6;hxGBPzzk50p(aZ__we|8MZoIM>)`KZvX-JFS*!Bu2K5<0p z1&sqK_9}f@t>>#JJT(R$Oe0)xHuTaQN8&!;`~O!85!`K*+oGxIXY`=!q%T9ITCBMN9wBOTMSz8tv`L9s6*DvP&GjHz2z)N;UKQ}ry2DD;C6=@ zIFLR_RSMhKyr9XP-+@#pcRPoU8u7rI=PyHA(BDmOg{3Uok_PXsmK5%NQK5?i;E4XOs5*E9o zbIQJpzKecZKI*f^;T$j3XiSLhJObG+Gy_M|UwN}>3hm02+GWQ5lsWB;4#y3~IY3`% z5z~?#^umJHz(=Cm<%uK{BFTi|TH7x7ZTC;K% zGPp;%?C#-KHA6K+F0B6wm_Vo-{onMi3kYg&nM|PXW^^4#&Vk8W$wY4TbOnE)s%4Mf zu8VHa)rtWlgJf{N8H2~_fNyuHo&5Xq@&cp|sFuv*D&#(uqz&%tgq)FhUVe@zmfidf zvL$t5+jwW_#=4_%yC$MzMOPFn<=a~dRzX|nW5vXb=pQlfd2q zwbu`Se)ijw1v)H1YoGkWSGp8fM4GgEwObrayA1QIkKHuQE{fBeN-xMgI!W>sY- zRMm#^O8cbp_^uT_rKctscPryzASm;HxF%emZ~rT9U75{f4F@vwQ;O%pe^UpPhwHE@3poKBbQDOeEHz} zA4-<{&8jaYj(Z2x0PPG+pAWo7>i)U8kMsn*&)WY$l6n5!>!-Kf=W&iTe|Crl1g`e- zXFSaATC%N2IRhV0M;((95=bxngMHw#gYHRcIoiO_7D8gIkDiw zF2WxrkUAcsK}qtKSvW3Ox;i3wo38EE29*sOB1IGFz{JMZC7tOS|JQ;Zil0-?Gi3ix zC$&x|GJLhCK$GzAZ&YzhIz%*l!q*K8uvTy=Z9x;?{KDu#F+PE~u5vAfJi7y2Pv=jG z?O%P_&Zlx6hR(1p5k2grAz%&rp=8Cl0HG8b(zsIhW3f zDR|k^!-1w^u&IZz-Ir$FYEjZ?C8Sp}XL?@hZ;-3IEieSAb7ZT}uuXfkeqg(`=1i5d z3GPCZG;L`LO5tOL!~n$+csJBkR1>?dr~QDTp7MG_HpCRD@ag^u?*g)uABtjXr2{pb z7=7@(*wtjoB~Bb@<6@s(%A{_6}(#WIf!46HxC5H9=^quohHD6MwD)U z25=?`&$naT-R8pculEwKB?I=;O%6THUDurcg*f7OflFya-H#`~($^`u=`bUXpWtzj@GFWyxX@WS&CR76YRez| zAxa{XOw0V1uA$iI=FiAt$gf>BF1eWvwJi7|FI(uSFxF+rwLQgGe=QvP4TP;f< zIzJ*E;x6OjC9h_%hNTRshUQpbiRgjzO1Xa>1FZov!G4Ob||Vl0N!0_Vcih zGnxZo`BLBz0_U+}nM$7dtWp>^1c_)s9mG?3=e=u^j#m=!?D!;rSC*!H+W&eQ{{og4 z6w59>_@jdZY0%f2oe$S*W)Sr zqxFyH1gDD7exk@-cf1)K|M{IA@XH;;A8oQe-RFzAxVvt9E;9@^ccSNXdWW^jmm zWY?F<_8Ih9j)BkdA#Xn4&`O4M8S-j(aWyd0zwM$M7HCahs!HT2ZF=_>L_3fD37KZl zVh6U^=0(c{DZ_}Uu0ZtY^W~-pu0W45*5xW@F@FnO-hm5LwN87G7fr{~y=Wi3J%)&zOaWgMX6|vcIpE9Q_GF}{fj&KPFWdt_e-IsUyyP@X0-MF$YS6S^f zDK5zgg#tduD#6O{!cnL0D-2MFvvc^H(0#mU_I1bYybrZmBR#K`sB4Kp4gw|yxne?` z;hh^H(OgV1qnzRWwb2AoBOeUE2rtReW9Lroiin7C4Ye|h^31=g!zs9V2Fk~Q-+MdZ zY-McThs@`NTZ*6~lyYIJQL9@dix#PlGxK<2OhFfezDYLVZ|L$~CG@X0CzOtmVj?@8 z!u9vIakjx|8vgF<9Ymr~8>!u%{OLaonRw`zc#^@pf4ZD1hnY!%@mgJXRWFM7_^*Gj zKb7MElYQIgtemSKD$D6A1ZyI2;;rhDx+Go(vt*DZt+`#ErYx=ME_SZyhMylDzx{0A zlezGqqmST3vVDC zn;%!O8AA$SS_?#B#134VrRD#SrQzODQG=xzOVcJ(J(3B-!i9B+Udrv1brzK3OSuLn zC;`#vuQwZgl@tD-pq;r^*D8IjvBANd@7+7oqn4cM$_}!lAZ;Ocp&k3=_O~zIQ`dGd z>Uz0Vo9B`5eo?}xhusbW0~IAcVema~!rPespDB^^xY*ofkyv1%p?_MJWCX2b7H(Vp z+E9z-0jV6*#wPi53|s&gLu}7@MZVMVstrWs(;?DGPqjWji%j3yaa7AB=>8@d7Z$X! zo_@otR{Bkd^y+ii0iYaJm;l-qxfUeMg<_W9Ib4@I1Ev2brl`tJAt8kPr#-XXWaRanv+a;*QNP7Ix_$NyF57pOL<8J(#Y*@@=$)rDl=8SNDBMc!L zDkvmW0HF)*+0x;FBwr#Dg6tcrwln_%_znS8EOjMb$k_m0BpXLi(7v9%K75(0_eEg! z84y~`{A?9QWv1;JK zw07|_-ovgS6{Us$)IS-+ol1IM8`M&~Q7%W+e-}`F5Dkq0jH08Ce6Gn6-w2)G;3vEd ziTf6?_&X35yc!%AZt2WV-m8IP!jev#MP`37Bm|-6;_Rj5F!&uL{DyXu_3P;x7M-a7)7{n8mD=l- zn(S8hbMxzvI4;_-MJPl3Ea0rT8$=sm1 z*~fstF_DqumOxg45GB2i8Y?@TB%?Ma6{egsJUjYVE|G6-`i@=qOuLtZB*qHK3Cs7{ zOZJ;D?GKFQ^MlU@7A29fKmVP3J^_Y+lhaeaUuv#o6yV$dUh5!AkH~2g3xo{4?bhT- zQzzs&EYspYc~c~Xc#v3j%RfqYi>HfC>f<$39C=p8q15tkwd588je%WKy8C@jL>Z6~ zWKpd%UEj)LcqUDf162=A@9ECVAc(0k{2m>7ivb~v$GN>3qVd1eLp6OTLR{8KKQ+l_ zZ3;FIpgBDRn_G$Y&BhGR%)s5W;`qDpa--{{h2dyITt_s2+iyynQ1#R(0_TdSsGM)d zL3G;}am!^|4a9>`P+QkVoJ|*NCjxGWd|U|9jZ_20qw+xVnK8!92`Hspt9mWpVnt~C_doN7~P8=w@KZj*4SD9t872`_QedYeWA(;CSerWy>dOF8cozk$DjTQ_zTo1y=9`|5hP3Y{Z}jNob0 zGvAzal~oATgD6=Re__!h;)%CNp3Jn;HD9hLA%o6gqCV**6nvZaSYu{9b-xrQEmu37iGF$eM5l7)ccWd$+f zDt66eX(r0|aPy3aXfkP%7^Di69(ncUWD7N>sP|bDmT#%vjxS|u#VVjFy{eK@_C$vC zMBs+^Z|?7x@mX{W^2D*Jy`YtaoP+L~*H1r_lP(UaGYOuD;D`f8bHM*{J$mW7oj*Z4 zwj)P`m#Jb&e=)+0qm|1~k4WmOSKm6fZ=;c7u~P5L7cZv;s_y$kYQ4r&`;YdxXs>@Au3rIR?mVC=oLT*UY%%o zpUyK;J&m6?6v7e=YtUjidZaF=h8G zy@zMy5tknm*$WOP zP4=G1Ovm>rN9cUA5d&G_+P6=T;N8s^$9}YHo^0rsM2Cgh2O-Bd1-~$8Q`USS&Xd>P zeoY~PdMA0Sybv)F5kT^v+jo1H{h{Qe=ROD@!ougmyHvuT8nzSV9$?*9F>iXFyUm%O z5VA^L@$LhhXAWd1=q&!{=Zoz$J|~_+vd;LoKQeOk=0$)#XuZ=X{RvTqHi=;N@ESP; zE*IvdDoy-#*yr-F{BF`fkcKIlOskcobH-n3sD$Zve|U2>%9rR~`xQf=6TCzUO>T0n z7WcY94A306e4mZUV@fj2Z&23aMXbqADT``lcoP%+^32X*t^xLN(riZju3f&rn@8Ei zFR2you(PjE2<%!nk0EtOILM#3#D@ywEC&-mYId z7A}Z*)z@Oz*g*yY)t;H+#dDzK5U7RoHLi}N6MKG(u)8x-n)iBbJH=8tldtNXu0{*&0)S6%bQ+Vl$^bBQa`i!#L8M(7 zNujrRcyS{{;0FX<9l~~HvmibQ@_U&TZhSN9Y1Dw{uP<_jwwV*!WIF!$V|hTMXd^*D z+}>DGFg?4~+8WGDTRH`}Sc(|r*oE|-J{C%0t|QF~^iXU1#FcFIdu(5Kv$*m69k$9t zc)D}WkuSucX@W6;1QK~yWJIl_>(p>{bzREW>G=VCEi%7h) z7MpK4FIX7y%N^Q7(P0>uNKzGcH6>d_8Pj@%k{b-q<-dkhlrX!Q9VvZ)fGwUCn%+1Y zuarqzvBD9t`Qolo-m&%oeW!nM8A;Ud-2OQ+6-%A@M9E49PJKYq&8l$UKKM*kEdm2( ztBD|PETgCN+u>*kZxiD6`}o?w&rbDdt1}H-?Dw^z80p;5ThM@UU$NljHK5t+@E1m2 z-l!xtRYsN&M#5Ju+Vja=xJjGQBF2;-C2~bM-@8}RDc~CxZ)h^>`gs}W)6zSn98XQE ztDvgcsK{E5V3`?sJrDYIv2arc&;F8OWcRUjAvo* z+IX7>XvN{;>^_rE8=V93+HsqmCR}PxJ8pS5poZ2=itpO+Y9d+BfdR!M@nw)SmM z5gmgi0dnr{D6p>LgF}VdV$T=20Z01 zC0LO|tv2^6UHYq^y&#zIxaWR>K8tH2UZ`^thI5vn{IMs0!mAdBh6E)X zmGNigN;n=Kb+H3oHsy4mHsA<5l2-Wurb>I7gLE`iwfOJ%d_@7IIG@0HqLdB6Vaj0+ z$GLrdL{;8Z>eb5oe*qk6U>Wt`9Nj%EiF8H6xocQCijo1?EmJ0GXk0`m#o>>9&KwOQkNIAe_F_5Bmu4d8$b=iqDey5_y$Df z&2^H?kvXXIocLf(N>t8!tw37xBG{-HA^TYpoC*<22#(ZIAwE#9)Hc))J3qGvy@ko+ zerh5ep}iB60DLpRZfI9w#P849jM}UMxy+|{iLmAQsX!OL@Cef5!7StQnti;=_Gg3u z*PF?`=n_@j&-9S!Q1=Rvej|}*J_yA9bmhm`6}j(FY6JVGY00##`ke!>!%=i363l&^ zs+|m#+49gd&W(S>1?zC1@l8;yut8H%-cvWG-#Kvg`EQ$5&Jy6|-PokiT$P4#b^8#EZq(dzd%ak<1J=w`#9lLeo2VD`b25i)rN=+zPDLDx;r`+#CwKn)M>TkX-5hHay$As zl{$r~{W}F6iN_cAndTp693-JwB{n+HSts6XrAbGKo7?S3k$t<}$XK55?hzwe6bn^Uo?uePC~w(@Ul2F0}$8%&R0jYN18Q9dM}e}=wD zb2!2I_&(rKmqv)V(Dlk%1Gi^691SM*RawT-XSyz8Z){J@7kcWWZ z%gy|75%o$K(Y8?f__q`>KIJbKOm)%Eobw9?++%x8hyDR~MIA1I)6BW*b;g~3uLoBr z(=C|=TUK=w=mY`J#*q37B4W@jhgp%CBE_n_p3%|npkxI2j9GKzS4-wEeyS*K@Qj?j zk=Cl@oWI8Tm+furEk~;t|1!Sp;|{KJm?;EpncX-^AfCWO3e+`4_#-t1JMd$5&Y?E4 zW;kLh92KU~{cH;>VEA!ZP`Nd&RY3ZRAN5_5@3yVHD|2e~h zXc(@-hP@HRKA58>R1Z}TwW}QV_gcwYY#s4RCu0hX{@1cpy*n5RJ4B~x)xmVwmiyrr zVoC~(;u?+@c#e`Is+I|$e1e9SVCo}qJjRPs2zqf4p<%IEUmJ2#5sw(SOo!bC?MRN) ztSm2okorvz=Pwo=_k7w!_7LP#yUS+GN|a**Od2(&H|4Kh{Lh0@C6|mWPfpS)zivZi zsH`X8T@SGAWL5E^5g;NGn$NiK(@SykdD5J7{sOB9ceeP)K09&TcIFvcUArB0h<+UbE*l|LB;Ic-fd<|h2uv|F1+n^`R z!~LXj8Ho(ZR<^@-I`sL#i7%F+E|4UT0v3foekx&&5R3y$ojM7AY2=Z~#7HH?Q(^?{ z0nThWNJ$|Wu#K!ER?YevKQc0z&}m%q3|TF(_A)R#xU6}!8f{;`AJ~0_^lpeq%F#TE9gnd_V(gkW4mhjbgS`vL=Tf1{msGTR`0S<2+v+Y;a1OF~Pp^8qd` zK;2Dj;{g}HN6x#pAWYG4Bid+m_W6MRy~A5wBXF{Na9J-u9GTd{G`Wg+ks=qeMEOBw zp$8iqxg3HdqO(r?{6i-|P4YKZ@S$5Hp{m4Ph^?FC;d(HfD6cni}`fyE@N(E-%BO=y|`n3Y)1Vw1N$eIykBP1bn=c(~-A2L&V|yuL(^= z*mR)p=AIrNR^_;izFk{$hs(x$$NC%k`IgSueI>MJp~^EK4~WNE-hI}d?I5Wn*MzNR zNLv534Z0+G^kZ--W@Gm_dwS`%;%EV^u~r;;Ot6*3ntO3}kv>6ennfS~z;_WDYl>IE zvtlrUAb*a~J2X=ZX4|)UV_bPduoCqRuO0-db^Ys2Mqm6D*Toh-1K*tK{>WZh)p{FE zUbLB-#`|V|?{-lrAkaBF21o(@lF|%Yvpq8kUC{pRo`NCX?|*e6T-gm=(a5aXzlm7L zBH{V_67wQ=p)r_(jL1|QXom2WyJLeL0I1$vgT7OsO-#Lcb3h3e>qw@EWU!^e=Y6r zm;0JD+TmIdO8W&rKd2a&02$_}qENWlzx5Cx#|S^L8=DUw`T4+BgxY9Fw}c(XPabE2ZuP4>vd|(g4$vVyM|2Ih zW=MfLii}Lq=iU*RsF0Oq3K-_Yw}N9x^2TEjjq=!H3i1C0l|+HSGIbn$XC@S=+v*o- z>-XitaU{f%3m;65lI%@MPc9J>e*5$YKQN3VK-jY-ySU?dB0@htF$#gLU6xM_+FQOM!q>xrZJSby~U6;V&1IKlX)C(Ok2si7HqM`s43k%VP>LAtjV@ySj*HfKl68exik7K~uwQ|mASZ{fD#vZ>Mb%iUV%RBGqTa;I)dY> z7@m=i4{mlTg?}^o-F25+?|)VZJPJPyD^H|5!Qo7XGK2%OfiHER+-FVpgDPB4gB<*y zmdj7p9_Jc8zI@``SsxKjo&v89_JA-UJ;4~T;bT5vMLe;VydZQE9bdoE7Us29teqp zT#+GZV@W|+3tkiq7ud)u2U)D11nL)BoE;Gl5Ix6f-?dwbk$l5S#I4+DRmAfG_8LSS z0({Bo_t%I;`9-dlY4GrL%^2wGkNoaVPHtR3voaMwo43e|m8PqhetXgFzUsVe21dKN zPRl7Hw@EArB`6r?{dCyCapWzi1|$PxzzgC3Rk>l_A&S?ybb)J^< zNgjKH8WTxTMg2NlO;m>fQmVh}Hip#$IEk#Efx>6Qw1Z5++TC3%#z;l1r~G$cUas*b zMy_H3b`D*XU#Bt)8E51euaZJ;dq8YbF?hB}b(;7FhRQ~K<1Ws;AR3!J*=h!D5yeQK zy8~|wp}AwvR;IxLt*TDjt~CVr+HFESp2}VPRuq!$V*KcWG(5 zz_YI@Fv%cu3~SNa1ii|xbbLEU$4*3O(#$!=Gn#hM(K1$q5iWx$3EI*=|)TSZv$E}khvuYBb)l?je_SSM(hksUXyLb z&C5;wvy+pJb$%`Q`zs!Fh`ElYA3d0dh+AX#in{jt`Px#L8GY~e^YhRK|jNOJNQ zx{mm@YKP94T!@!Vo!}|Zb(W9uH1wh-tIIO-xsa@pFj%-mdGY7a+za?k`r++7Tv$Lz zNXjrLDJf~rI^@(i;JHu_HFb~c=YiJyxzhN#UimnEL$`CG;c_sfMxS8F5k0Z0)2J}y zLoPyg49;4goF)Ti7!f(F*+>G95t^`B6EXJIEy;VW7P=)0O4q3?7?FOcX`~XX-~M?= zRkIwmy}9EFNhUWBp4^+2%jMVK>_w@)>!uUZP_h^)G*D5=$U9Ug``d#fQD*OjhAK9F zW6$oQexgLEcZ#|MM*7_tn2kZ!*^fcdqa5PJ3#+P9N}`r-sNCI0u)MXKW*FN29e{y} zFiHoC5i*1?6wiSXC%|V)8&Q7#`}(R)9X87KDoh$twSR4#8ZwlUYpwJ9w8=mq|GInO zPru}Abv|y6S+%fB6a|U+Ab?=(QiAuo8%avr^cH}s2>P#wprZj0$X2klqpaGo#gInL z7tiFOOcDhpHYq$Uty8_>FMtkAHaBfWPfcul51PUyIbheoHw>sFyLL<2uXC}MmN!DcuO#abs1CMZou+zogX4iUjcQH}Ctg5vA!+(43IOai|c z+kAcrB+Z_3>@F<&da!};%l*lP{0qaMbKC{C{u#{aA`BoIUGxd5Uvy(7VdZ7E(r@F% zNhq6)f~B+smY@942J^LCYi$EwNf|&p12Vq>^BzPEDzgzM_u&YyR}gwP1{ItQC=kK^Q2x)P@ttnw=ILsC>*^qh_g2X+XzAkqV$1A9_sD+< zvWTJVm&NQ*tki!Ks~rPKQwWWSS9^8z(kj}BV~e^%fwaM2ao$l8jBniZIKPJZ|7jkI4RdVA+DexB*R7{esJ;?={ic$@Mb7{^IXoW(u-y+n6PI*u zn!}ytF~}c!v}}EMm;|^(P>Eq$^v}7&IV;|dMEM2WT5jL_4qsv}&I@7Ec$9zHGt>G}A?42|UW<9YJ*D zU7&ZI&|?WobJ5yaxC;LpFtr3~^}^D9Rd46eR^)81nq$>F^VDI}Bo=nx58E*cgz?tB zoyppql=^j}TlE(H{Res7F6Q(W9v;qG zM!WrYFiLpN{3r3Jy(>>_TZ{3%t6{SsX`Upqh);~8II8eI@Sne2uxzeT2>A@9f##yM z&^E2=kwbnXR!IoG>$sU=46+jkBWjYfjpO(RQi4ME*X($oLKH<4C9ofW&@r95i8doP z!pE2&=r{?KZ-z&mTLjGL=_;gUx0(EROZLjXlZhCTWngN^+Wi2xu5`nluDxEqBQxP$ zWvH3_FfVOIITOym6=3PYdpO?4dt(~_-g4mcA4K)fpwkRbCnQLhm9(VXFM0?_^_9FHYIQP4nYz2D{7%%=xiE)`nIrO>(gIZ5?qEcNmr5!SNP2xZiPmW~ zul;V-8xqtelCI(C-z?PaH6SQld&{gXIn`qZzN{(lBADytdbchqR(d+s|LtEgkV0om zACGVGu(U*60fM>2JxlS&+1r{iBiW0{^yH4(yCYRC;{0s;v#jih;4KW9KZ#U9@J1iI zNzCdWN~3S2Paswb8bLJ&Z8yX@SwS5JK95k2ISr?Itg_Eg6zT9ehVaa zn*E;)J)CrIrwsdA{w1>%X2w_&<8Wq=b{Cf;DLR`nYfx2U<{$*84w@oUBJ!X|4OwxB zT^d2qBl8Hqff(aW=QU@$+ohooI#n3M6|9K8CpbDZn3bfKu zWW`D&Z~kVr>%dq!TiY8)zD%)jY5XP$p)7cux)|7iXnL0-HB)3(q3_5&Yz)6wszWqC zM}3VnNvUkRl!HQR7rzOzVf@Q)b*U!#e5q11a~tT49l?E-)9V96vl@%m@J>yo=e-Gy zkMtax*HL-n?iDXxA7K0zhPf`r3RxFQP;QO*rA+-dO18*>a7ZX&w$Q*bku zm4R8_>bk!8h4QH|OMj@nMOV;s2sZ+JF_H|y3WT&3$wmQ&OOv)QHPBe$`-`7HUuKU5 zk*Ny|LpUX++~+w;s|((U5|1;9ppp>EcPyq8A2$IT<^0|1RN*57~tNM#4HHrVN=el zcrMWL)wNC0XKGpN`5~g7-CjKM@yuF}>-u`=4lda3l5L)XAd=VLF{a6ol}>Y)%Bx!M zZhJe#^MZPAmN^Rc2YlgQz$Ni9j?E*g9aFNK5A^Z(eVW00(mX0%ZXzSH*Pr**+ie;_ z9A#hP_vTwDm-IXitlQ6;)0-l1{P#+`WL2*;Y9 z%$Y?m-+{LqVcvzNPAIygRU;O;u<`#9;FYy@) zv;PYPdvVd4==7w*_RAS*b@2U8@B-!hwvoLzIUB=A?Nf@l9Bj(@V;X0W`kxVQak2nW zmGrCa?LIF|c1$7wDgfw&Y10|9LtE{d&`?uKnGYHJGyORTMy0-8@OiU69M)w3*Ee?E{e$N+!IXz1zPCCMup^ruw%xrAl zENg<(lrngc)r}@}-mi?PdQG}bAB*jt3@Qnav8f;DeygK1&Zr#g7?IR87j(No3+E_g zM%+NfBF_}IU%;Tjh)y2lUICJx8LCoYtJ4l#_{>4f?OR2#h(g`gX$my?(?xU{5zPNZ{8YcAU57s_6Mx7KurNG$ z=H@`fh`PWI|0?n=roy(ET9?)_^XY5x*LCD+9GOu##osQBRG-EtQqe{NORLYuEoym` z9VH0vM7sC>1KNEUXmqx*@kf3Z3?jfqVtPE3Zoe$EHMw@NvwW`@dNHP;PJ> zHAzR<*X^o#1;wycmT4o$XdnS8QZezfjQ1GfL$=5n5mCac-X8Ft>MQQe`s|XJsk#)l zy2T}T(Et8!JsC*J465EaaB|4}igS+5UC18lkK%ZE;J$FCH=6y3DU)>An)-y)fGQA5 z3YQot_f4vXaLl!6T8oGaou6$qG>2BFD+Jqa2NkdioaYdQv3N!^tx(yeGO(s*B<{Hx zP73NTAx&f^31bifwL7wKpm4&ubPKJrAa|E;MHzPX7#l7e&)zyMnb`i_6A&1b5}>3j zMmQre+L6NKo0q*p(rbmcq)U({?0viJ= zRkgIVEYZb_G2_EM z4|BFfjM!}LMC_uW85m;FiKb_^N_W4hYBGY@+(=D;bmg5&Qn+DdS&5BMCz(ScEzxRVH(6SAdQfUWgs$*y) zT0D4wvHJTV)-c-Ss(A&{tArqf<8+4(`micjL57fkzk%*+i;E_+yiYmLMj(j7Tqj18 zqm|oY?4|!hbm_<4$`Z$2`Y2ep$Zb)uS8s0!GOAC(Q|55^pB2##f;N!74SV3e;&)yNH3+JR9v*C%-I)&39-0S)OnlbkgfRlL>k z8pgJ8Z!>)KDug=b60z&|M$M8azs5d3Q!C9Lq1nBQQP z%X(&UzfXX@&Bs?>4I6I=-3zJw?cyz;Q>>+6}PN5jNlBUJa6k7O+wPI%YVhXeZ3_zETybHB7}Rg7!n zzYVF`TL1nBXo|H#Aa3v)ZwB$uqj>S6oVket@HWd@L-{@R0ZCf_I^PJF!}2a~{g=eu z`!rOpka0zr;BHEAyur1Tr6sLN%8mdxoZN&5{{kpUNN8>pI2LTv#WXbi_)F1@Yc^}& z^P#@O-no*+LVc(;&I=a@bYy#}Zx$gLitIublF=cqJPIz)-P-R1WUY=+r>*11>bTgw zW*3NFsCR{e$Yz?MzHr!*d&fL8tD;{o11k^Gy1T*pfg=Gnl!@^gyyx6FRSb&kK0_%*BNfNDhjziUce@nRyH_~KvrtD=%1 z0}&)Ln`?+$yo;`c{;ycVerLm;5|K=+@MC^@_huHDC++2hf*5e%;`R3W(rotug;X+e50mQXQy(ul z_#Wwj;R|{@o%dor0fKPsOHOJpAU`kDN9eNKIiRT`_*I;)b&#F@A_MVu^3J5i`2mfz z^>D2AOFK()0__1uI>ryokSb!EFGp7{J;)|MkiWnB3GFV_`=lFuQ3@yx#I+pIZ^lee zSJqsuDDah#Ir?4>xL#V!2=J$g;Ks!uK)Uv$a}=%!B`Xtfgh3DP5CKm!S2|NlbfI!K ze(1zrEmj-SAva5PiMfuGxv8-TFwAmzo#5$Ldz28gQ7yP_Q*H0@#oqscy;@aQ$1&5UC@qP>t^uR*7BBkOjG_!ouoOVP5_$Q;P(1g z_~q|5_DZ& zduO<0kDFPouOX4Y85_QN`-PUWl(4rJ+3rNw3$F<*s5gX_QY{FAs*ISz%RSt0aul_% z7@Svi65F&HReFJ0KB*ke3~DJVa*;~U=h(W804vM1xvT_09ze}vQ&zntU~_1DL3T2r zClM}?yrL}}@~0vmCb(59T67&hOr7W>CJ?UbZ9oNG6dMW&<~*5Eb>htGm?V`(Gk&yJSAQBbf+g!+loK&o#!%8|9D1Sq5^UrBqzq zH27G>JN^^7@@jGw^x!E{TE%Y0#o=L`os)+C5mwLm#GQetynr8Zx|T;<7k!5Soz08jX^$Ff0W058kG}A^@Gr z0EJx7fhQ!u2`18_pW8M(bl(AePGFF5hICu_hq))P8av74=>HTjoEwCZ0W+z;i`-B3 zo5Hw%d1PTP+1TEOFB9G@Ik~)jddbhvU$h(Wv_IAJBn$Y_aCB`NNm}wDPD&i;$RZ~1 z4`fvw>TXeZY^H9Y_={QclE-Zr(Cj6s$scwt=ROlCA@WGB*w(A?a%XtI$|QvWed5++VDQuY)tfvAo)|oEZjl`z8nZx{XfpmaX-$T`VmJy)h*R zptF01n812AOnKiSb7_836K``K(}K|y(RMY#&w=0q?V@(fZ+NY<*iG5`S{bZ3$X(AL z?yZ~_hS%D2wAYp2jk^@uTYmLrv$-)e1(xf<5HNGp2Uv)NyGCk6!7oo?O2_$ILQH*= zod!jay2DjU&p!u=65?hRTh&~T%M^2 zy9tq_jhEYprEGN28Sy-PgqwTBaC?I5%_Umtr0g!_f@SC z!zDOKVgNnQL%@O$W?QJ?m~ybpr~caz0BvIZt#uvaBqJy~+Y(>pX-}EOl*-FrkKchTm}x-&wB^82*1zH#cLO zz#hrQX<1+cg_4nyvL+t^(IJVYemj9{pv`eSgcr5rE)H~WLRsr&L{a%?0I4ifZ+{z3 zkgv_^oHi_|u$XgSPf12G(T}3nf7mT}<2NQy1tr^>eAwq6$JQJWK|GvP8UKzjqk(^l zu5WlLrGGnZW%h&E3IGP4L;A(bPlXe{n09)i{NvexQ;w$U4ovjvlA@9phfSXh|xX(Bpi0h!I284Ib+2n(l|qdTL@d_Ov` z%Y2&)cF{Bh%Q2EeZdX7N%=f5Q5$n;#sqVPsAR4&RKSeVv2HSQa@SSTk*WlzHQmRXB zV`H8B9*>O`WC}lnNgw59)P3Ee%@}Vv7_QP3R7q?ZI?VyE5EoY>2^+%jiJT?`6b_m3 z^(IfoxXFTXkxDFL>JS2D!Rv3fRW?(nAlCh4`q=C^@p5|hT5f=KXKGU8gl&L*D5fh!f&c9h7KK~Y#t!*Judyb%LhH(Cz zqdqphpaw^^0sUjum?lH(TD^X^hmJPJSOw_E3)0K=YVXs}YV=&>?Wn#~p}i{r3ToCweR(wQb+?R75$Lf?LS7ak^y+^8njWu>-Ryow{@(LT ztwuRw*rjb9!6sftW@f1NNI3038{8mzi3kuT!*&usrs^0C_oTXmL0G)qcNS=W4cx6S z=fGVfB)mZNQ{{_~;1^|1>hLfABOgglFtxSA5CPyZ)e|Ng#gY$KX`Vb-f|3xGJ!(DB zRd*Fj0{`M7Xvo+N>q)w?vj0kCzGlTwMv0*F1MkvYej!_gyoBFeNTEp3T_5PQ*xwH`8NIS6rMF!Z?Ev&C}x`dj}_0W|oqD z184R;*;uv+=Zp(~T~2wXP8RL!;AAXNfTok=KO=I(3F2eF2rqkrBT&On1scGTOM(mF zY3|rgDrGlzhP~K~0}!(j+e$vB%JCp-qefmdts|$4J*;qkqK7#aRZ>84gC)&~lNTbU zmCee^52YJRWk*8!*A3wRczKb5w2??TxKU9i@JKfX19iwb5HRc6>Qh(r&W>4~X(-ml7Nwnjl`sy;(}2F^%)N8xikjIbHk29#AP~(GFvO2A%e+)GT4|ad zZb)EO|DtxSw9}qQ2{2iDYMcliEO}rmJR<^O{P*`v`O^^-!anhF6H37KaLz6Dsqino z2c^C;O%kBVq>lqmSzrS%u4isC`A$-!mLE26_w0FvrNd(cZEV4N-bt*e<5R1Ado*iW zT+E7a?mm2NUBcxDsUS8AX3J-Rlo6FX^_hV%j%jtk-)O-qff9k6uOjBh@zJt({rg)c zXmv{bb??_B!8QyF;kBF2OlL~Q+}4{?t3#-p=nevp_k5apTchlIqWHB$wq*(Wc>Rt% zeVyPCN|Wlczm=i7m}(~UBQ<>&-%=X_&f=r-=Z>XCVF>bk8CrZeLHfnx3iTVPOZMf_ zf0s;rGkWhj?%L0M&%D!>+P&o(_ujjLwe61!_P$6B={02nt$uyBZJ8+2HZJJ5^Q8g< zKcVbk|7@kgAMszi>feOFCt3DilG2P=?qGNy!?&g0P zG5Y#c059U{D2~La#h8$tlOjBaD<5;S$MB@>*L3q__+7x|=FA3DwA??%{M)(rF%5)! zBh&gy`@Mv-u9QA_gn`slucdJXXl4j-|?5*>X5%RZDqzx zG&eCsK}#>yhYP+8cb8fseY@;XddT8;5q;ot_?bf~ z;=yqPMmT#Cn5FQODMbpDo-)S%_YcQ)uHf*2b)2@9&5QVNpaZFta-}e*lOGdwAHG%l zUh790cn^~+vtHfj+O>cUca207uOUYQ^qf*s!Y3#QRo#Xj-97z1m}w^Iy#~T%alA7I zQ0R*vW;`Vnn|_opENTtugscA?unVm|-n9BWwq8El?K8PCFYN8|OgRm&zh);H(CFxV z!suk5eJk%Yb$H9{ymHsL!F*lEq#AIk7qj}fo0vVP&?Jv^(84e|iZR5Aryn)P#)gq- zDBy7}k~jE|yW;|V0)T=LzCh$;L9NJFB5Q36n?Vj&Q29lqw5R0X^lfBGe3pkAy*09bH+fJj67$g|yA8@0B0(Z+0w zWwfWit(|d8cGdyMfIHZS2r8;@==q1z(o6IxJGE>65bE-%a77Uk^5;4^$JjZmfD9Lsrw=|93LQp6W%M1fiW!zAfmhcG)(agf{ z+~04-Ma}?_Rp6+Vts(k3$-CFyrH#Ycha5m|Ic&Pku?Tmswgzd3DtW0TWiW9o^! zA{R<3Ze6|<7kqBsUW|VH+3}O~)wD^#Hbq-d9C&nfn*nXWm54iU(uMC=f<(I999Hl{ zhAe5;XW7xsh#@^7Sab$~022-me)!y>cb~I;%=-?5V=HoO`|7@hHLrfJIz_IYvjV@Z z;FyKjTeEJ^RZFwzl{H#)v7MOv{dXdNwlk~OAaFP8`%LBE4HRvdG#Hv}zal@45nU<)#EQ)YV#fGxs5u%wZhHnOw#8M}}P|w3U^E${j z5m@h@eb{iP@ucX5%hCPtvbz#dA~y5vdDfk&!FJbx4udwnEg7$D3|?GbhO-#t`5x5A zdiTJ9`}4opfgub?&vj>@>+%j9A!D@7==30~>^+DIcP6Nx?SL;{3*M>id;N3OIJW;N zB>O=(Ha2#y_O-1E(0~+MF^ni3&q@6q99T?-s($eb#sI*2{I2W}+xufTl9jjO7E7S#i~UW7brq!Y*3KMgqL&E6rAjKN5QhvL?-||`V@O=- ziRlLV%2HK6R2-h`>bV0zYvAv}_5HmzwEHpG9z9$<-UQ2aU5FINr8i)rxddgka^z7A z^;i8-xpQn_BpaW$o{jTm+N&5I+;OFZpr!z*x)2FFPZ%V39+f*q^7k#Fwy-9K9n=qE zr)C|Q+;gtMPmrhcK-6&8qB|XA5`+DR&te`QAVyFH*AoJ1)oTi4IGU zq{4p6rzpaR##D^}0XW;;1eb~?lR>I17N{T(PgQ!1Z&{qTpD*thVnb5I zB+u6Jx}U)>$SB@NRjn47JbQqhYqX^h{0N)iiUd9eM*9HK+fIKY3E(x`Z}$h>_7mEqGcm-g&yCMZnQngPzj`+<5DS}6DAVjMSSKA z$duptvHzShb9ix&&ij`2d;Li(1F{WMe6VH%YnJ(7>16Ui#kMP{uk8;?G)%9MMk}UK z3$ums{VDeMjA}4YjW=#Ck&W}bM=rRhCqnzoSO|p@hDT-Y}8T@4li9l3}c+kcO7$>P|&oWrV&d2WM?nE()+~BqO#ADNi*a@Krv7mubo!`&rFgs>s6$Rb)MXXEImk2Z{M_paIo9aL__PjYNdf z15TU?;8y1#0iDS19jSm+@(=bz=YAL|_Wt922m-_J3PJp;2xR6NF-gU8nnAum?)~ti zh~j5zV#>T4#;+h^(cF5i)RLBNW4d}7%~q}-<}fC*(7`P>Bhpcx?8d#QW^`k2J%+op zd6b8Pi z4gHB8PqL{{V`sFg(DV=h{R9hQWF#~5lshKZpF zt`IT4H@uQqAz`o#l3_sw{(AeMfg4T1xRuGcJZzj5tEX7m+|&r%{=3*fw|D1rj$M-c zpI+ef66DvBz&2Rc@FL2N@FuTx@JkEH&acs%F_|=D|jFCWUbazQZOcT>@YVx!f0$!gr<- zc+!kB#w@Ofm;25Z0hI{RP6$4qo@lzEEh{85QoJ;Uz&sK_bb{h!V{${WaiM6V$m8YR z@VM$O7lu({SZKIk${~;!KNdLz*xs^;92r(VZGr~CEGn^mivoftcs^XpYxB50*0B{i zCs}MdYAU~bO|d_1zR9g@zg@D-_HB6Rs~`|l-)!#_ZF_SVAcw3= z%0bXa&6WwAKm_T_KlR#kxN3ccD1((yBgey-u@}FZ z4-HP$z;xyhn>jf-iJA0v2rYzi13{dUk5*yp8877yzNI(I^>ZBY_TMtL^OO>K-B3Xc zuN_-?r&}u{^R?-$jeB^F=i?5m2OgC_Fs!SQAeY<2k#VYVtKt2oo=#43nw4vvsT6y{ zkJ4}1s5fW2duE@mdUiP*A6bta(kj!*0`0t5zp|S?>&Z+oQGE8*oA&qj&wd}r9zev& z8tc!F%UmA;tmXwYt_(1DXN1qz`!x}=xJ5f)9e$b^yf2>TbLEGQzKH9Jpibd=+8cxQ z*n$hQ?ASPtJnv%+e8vd8Tt@H0iITfun7pceKG|3I1dwI8$q>L-8O4iXTqErdS7wyq zZ!_CqMSS06z64U|msKSI>A<6N1nbu{7K%5^+|@)Tzt0>nL}&b`!)9qaO`|WvLVy9P zTfayENcJTV{a=l<8t~A#*u20^&w1VpLmPS^`@`LS=jqGmqjg~T*eT!+=g(9EytV*X z;aRLEvvy;}$zv}Q2-oBqY<>@#R!)d2|LGW%=Ap3gF!}ZjF!dU!9cRqg!BREezoY$J zVLCoz7#w}Jkk-ZA*{1)^>4L5@x?v9|`vD&MAL7dy;Ku)F`9Psc6PeY+hT#=m2#5x`lC=duoN{3UP`I`)ZRxVl zT@G&<6Xmqcyq9oag;ddT>JyT~iPRJtkk>zV!?ZlhQLVPEcS6gODW&p2cUXB43MYgF z44SPBpip@66E-QQ69&Mr-n$O$7}jvaIe*{6JMC_ZHfY$pc17$?eRq60vsuD=0}ZDV zc5i#B4F_x5hP$f~qu2vd;|!C{4R`4!N(tXJvWrYSJ*I**B!JOffF^U#OE`MfU5h{} zpv;`AO9PHV4P~uj5VT-wg1Ewh-IPUam9?w@Jd|6qp5NojLc~D)r)E9)NGP zJ8$CGMr9l8gbPu_>pwkJk%;Qa%uuK{PnJjSW+9N@Tk#N3n_W&G>Q-AJ<+8l^3MpG! zJv_mQ^K8wYhIJSEKbFoaEXua+!b5i>-K}(YBPk`)Al(hpF?1u{DTvbD-Q8Uh($d|- z|L}hQYs&n0X+gOsz$)vO<=IAUnZ`E7m)m&^QQ_m%`JYyIa#24Y zH#a;0Sm_AcgBT&7qsM2W%S;^O&T3rjVD$ky{8O2LSiYJ6>k0}ZNLDQ^HJm)WtWQ>> zO|!Nr$W+nsoKa11jfL92&P}#8+EK;S4(caDJH3 z$A?E$36i$s$pl7a>cPT+EdDR%oPlUYcBq;mXn!y-^ZsFflIYN1LH$KD5CI7tOgMny zjnl4v@tk1JP$;Sy_@_U%P91+z1?>-41sQ`v4(PrlO!&kr zKv}jVsIb`Ov+pju$D+tE1{P)6nuJe7x8#sdfYeW>(Hf?$>>jK>A2r-gg&eb7d(Yk8 z-roQD0@R`PR{6h#2XNu4J$yGbJz@05iC~<@kjXdsB!V`|5+yD&EDe`8hh&bfC~j7A zzdX2HkB##wy-X}$W0N_Fgu-yChp8=rdqV9Zn;GX6jT2xTw`J^Q?x3AjNazn6 zFWn})xB3K-*dnyN^2bp?Mmj{s)nvf;HytQ5fcc9XHOZT0Tv{Tbi&)>W@s!shF%Bwy z7*#GFmEYHSkve6K>b6@z|7>8BfdB*Bk?X7!PQ=G9;LI-6vWu}+B7OM55GzL%_)ToO z*x504cgOGi>n3EzMFh1d3iJkM@L}PI?Ky;#q+UUfV7W8)rcxYSLF%`;S^Um}HsYfR zbzJPEYhCQ0y~qa8*;t@X*Ooo64`^V|vbR_F451N8m@PFHNVs+LhHzt}j zjv!KeofuKV@KZ5-3>r@R^c))dQICF_dE`kYCB!vKg1pW@!2ItQzj_+lpf<#+lu01K z$uX_{&C_HQ{-1T-CtwF{3KaM0bLAYp7L+U`3q5e3t#N0Z$i+3ezIE3{0`xhIr4#EH zQJiM|43Dft<-Lvi&MQb===3Zkb&M|~cKCBENb ziD-Z>-Aj_y;HPkXC}YB*8q76?1!B61!?5U_>)xdvqwI9lr1L+i%tF;BNSp%;3FlO5 z*fF}>xOOas_x~oMlZu8E-B+>#pB;JplX9qC`&XDM^pC{T|BS~;+f=2#e|M`!QlEbU zx^UyHZy7;0O_9$EMx7T+@`)7%RLWFHOE!mjk3cd)xV3|IWlJEOfAe@LL7fthcuRl5 zpnotf(=^8rob3Y8tG(#uw|G>xr<8>x2_>nND9)A1z)v_>685571-dfZlKpvt4n8Q| zAwhP~Iaop8tL|~bYh(0p;F)0qrarc%k9G5B*EED?!d#&|mm$0)Y{=1D8 z;{ZrS`Jdw>`n6X;VNo=(c|xmnsc~5RcJTPV(>%&FDt*nFwz7)ypq^jFZtKy|2FjzG zEn7+TQ4`>AAO)Mlf;qS^+PcsNVef+!1)5Zuh3w6N;(+HNKCi^)Oz~T~%GB)7UU5d~p;A0&< zQxm=${~UN1xe?t)yA(TV<||eSKTwPwg`s9v_xC$m+#5`j zPJc)8F)Js>HFQS#@N2Nop2+q2{@4BDFJA=}n-2D`d=$!9TzAhdIInTP1|q3Q06r0AbN|x>*5 zaX}J}#<*T!Ug!qJ5J{-wNA+8B)r1P6FyJhl-KF;tnXY=#_5F+~h57;)0OiJTgd2?K z?Zy1>(-Qhdid|5d7~7$s%RYIuWJB6Nw^8B{f_MHoO;J*$9n(H=j{JG!qr1*LneRS2 z0l(1BAewe{b)dsp$on?h2X%vieqa&_DaVfXqnEb3b!vpt7%K0U-``IawjmH&Idq^H&(EF;Ot=kIZ?v}eY z7VPo{@DK>|Zmwbmw}G^5Rz0%xP6Pg?rRsGmNkce*n$Ks5gA1Q{(J-yQS|pH+Z8Ea% zK3Py)b2zv#*7nKAHAa0x9R4o);BX|yFntpqwm9SQ6uv_&mq?9e5;&E1i0Fl8qqjR~ z_7D0g5Yw*-x6D1I?5A1V&PTSqRCt@cc3_Ro5j-7gtWJZDViCBxnLuv7RrTK`^NA&Yo@Q(7{i@#sC)E@y@n{P{s zOxRUFB&&w?eX;HRXEVpm4<>1T;308{odfx>EVlP`C1m8}0RPUBGFr%Gf|Qgr+3aDn z8wMLfgX0tapw%s^&qa;N#h#{|ua-nd=CBKggGdR8AAV1(;OxTvz`Cdg!ChS%9tCJfJHLT$HH>emp&_EmhENDmw8G|=o2H;eH9z7s^Y>>Y;Kib;cae4H#-Iw1zq~q-xXgB8 zlLfd7HJ#)3rdK|z7nPA<9ntUoxx>nJta5c%P3G2-!TopDSqg#03Bt8>APT792lFn;@V^ z#t|0fRE;%;19!E1K`i39#eLW|Ie7U+qVMKm^)6NS0md+bx}uV;mq^su9036uBWYru z>WWNh5>Uot$sX>%T6!b{OwXO-rzy8Q!fSRKbU^oi<-9e++qf>0U)&m2cfWG(|5?2A zgiKewlW1ITw^=@^EC)Mt>c)znRDCGx=H!KGbkWeQdYksx*wW#P-{UIr&7VUMyrKFD zk}dp&*m$wYs_eNdf0f*>ZGE-C{sL2$izJIbt3$7q!w}tRU00?1`6P3`Lt+P_YX;Oy zKz$F+Zb$O&DhTVPyyAf^PzNkB*-IW? z$#wx?`JRYSNRGwy1*e8wM8KixRQo^xXR|1uoLevQTWBsT!DeBh-j-`{3yY%GzLNXj z6SD~^l?!>kw~@1{gxX=8s7^FL)z;a`@151@g3lWFE@mib)2~y1an=!Ghj8KQOe|3| zdg^UbWMpsW$0a+u`##xLYfX`bD2`^c+DYV*mfzgVszG7!@$n7a$d@21*v>TVO;#W* z$EJa2xv7OP0FeCFoaESP#t+-*@Pv9a_LXs+Gr7QKj$3bSl&;X&b&@8W%k)v5_XiKT zt#V=bR8Q?vRpZd#7(u@g$wX{n1=o*m@{H@y!4&zVvJDWh5J=(=nC@6&%_`0$~K47y0eWdmZ)nZ23gC3sXU(0Pmui8$mHM)l_c^{yI!z{tP zqQ|%!v;!X>(yy4M+oQi6rD5t`&sDZ4`0vJ$6rCz%hpR=AZgwf`71{ISdd>Pr2qWqd z?eO6@`2e&dlN0zhtyeSPp8pf&TWF<@@t@C$bqENsX0Sn6b68$Uqgj*#uxi06O$vm$ z1tqfb($8WOA_RjHBhN_dRTNm&b@1b>T-|u{vTo8pJ++oBors#rqlD)91gzC$HZzhj z`}lhK_OVOLh&E)O_@2&~5!wW^!7SPD>|ExOlB{3=s}XMBrxn%@@Jk}MlcoJxc)*A~ zNDc<#3FNt}SNSegmOpIab(VAO{Xg5j#g72~6iC4}ZslV%7(I!KVh0x(F%pJeCf*I4 z{0@H?sJWB?rujDgS4|ymFs{gMZfRHUvO8(^RQaseFbmAI438lm3c|+(^`-qe2|E9V zNn@?sen){_)rF-E2dTnRW-{@hAl* zQ2{G-T##O3+Yoe95E#FNr zO6s0pRY$oaO)uiqqb~KkL5w%LH9*|K2U0t2k zib+;V#=~(_JcE-+pwDpwN%Yw7m03Wf-Do@S|Dt>a-!5Amze1kQ_QwQz=xK8Jo@|ab zTkw{^F?h!khP)UY_E5l50nm;dUrrpry7|I!m@8E7E<<;6f31gdL{cVXr9sT_M*X_I zIf-f4ys)j8JPjqKdJ*kM4~H3chh7VKEXcs;$_$;g1rWXnP!F6Ku?$e*gYp?RhitU> zF<&&gw*&D33j@DlaB>DuH&%*n{e65L|L@}472ZS%f95=n*y>KX@8H$k#sXuXHzT$8 zS)zsNruZmO^IL5nFXj6#hdX!D$!NG-->A*@>&elK517$5{20JwKT`GG9?_qa#~yf` z5@~#PcYC~89{^u@fXvD^)K_`eG1EnYJL2_ z=;(2ul^X~%?# zepH=Nout*?IQk=SK8i&l-S#ig6QROuXwp;3njyj>+bKdaCS!42at1mor8~EH*FA!a z)`qRi$ib4huM;n2mgqOaG@Zr`%@nxFF&sgXC@@d5%D(avuf=$V91Ybte zK90E%@ALq1I;q3L9e zpL5Xpfw0;=#8Tuh_i=S=YwK_s$V1>*$A${F4rYmdFwI0Y zsnphh0H4d7FO!Dkn6S-i(ca2#+7fxx&c19re(cKG4I~&=0dBqR!m}rSo10+y1^`4$ zdE@#cP#h7~3kb=r0J03IOr=d=C$^>w<=~E}#t~NpDMo_$sBz+St_%bTAs_4r28k~E z@2_NW%C$oIurO$_K?mEuWw-<0o<@uat4P6Vw=@yor+7??^mn5CQc=1eFYfN{Sbq}L z_1$CRAR4Ksmols@(u{!S4z85dlONh-3;;$}1VIWqG0%63iQ>D)q|s*2uJ74OzpI)n z&z9@;TTMaUI=~1D#MDP?KFzEI;_Oo2^K)5u7}>&-qb3D%_IGKJnJU5PMaAxRQ4lPl zN}MayeHIT75LoasWKD2yti=1o#rFC|ZD&ZDd#91!GKR0u%fCr$RVyDq>zydT4Io)( zS{zM7kd-0{`=tKY(!${P4dccKSvol-QfOjD_T#G1b`(3KVm$sOyrp(tBRnf)*%~rk z=?zHh@D~RHk*8x$T>_TibKt5#0rZ01-QHrqc469R(r;_6kVb1v*z@!3(R^Kr-ueFp zbocox!0~E>3@iIV4|svWubZ178qa1uV5hJTRQ{l{Z-tgnsZANOQK-&^vX)J~H+c72 z{*4l3A@3o-BN0w53vtQn`Mo3LE@2!Lu%k>xYWjjf2dlF3O<`CPi@?qVlV2{=hE|m& za=5wg;v{3qEi-rZzsi~wbXIk4YgN!P97E&O{q^B2uxm689;Gx+kgPI5N@;91KnR*U zT$9C@6HKQ(yz{2&Zcw|6l@a!P<}=~45fszLd)S;r(ucIV-5et?oek+NQU>Qju7A%o z>;Zb2&e8n>Eh|6YaKVYVqN*I6G#v9!A==41A<)`DllKc9Q zd$kT2=^#oXgwV`7_daf;7g77hpu6Po=UMQh@}zz#OL`Vhq(;^K4-`yaQQAI+SED5c2zZ6G3z{cgYGdeUm=%{+&M_n@Aa$W#M*fs1tHi`5@Ig$P{1S-)RR+ ziu}=J+0M*(ErcBl*QgTe?rg(Bzwp@?O8-80u@%WDV0;MH68LEFeD{oZN`BQmj+KLuq>pAF>>NGuEYXs*e`&quTnU<+PzIPf*fPMx zT}XiO;A#^F*4Mv&-9Sh)ZPx2qhM^zoSMejSbrIO-+sFK96CA8_+anDMn#^krcaX+i zviXh~jq&4z@Y5V?JVppCyto{(nvG@`q;Iy*4c{iT4)5VFBTzbqnZTLRvT*BR^MlcK zzVM_d;>m3Bd-Fs3cEK1ya|!8Jku1dx}=1Re+-`i(m$w&Kp6 zE;36!c0lWwW7MX*-@ZG|UMUo#5D9uWRc|q_MH!QVR<28~D5wyG6~GGgQ}K6Gr{rAp zJf2TgYDSM4Mlb}BH1i(%_MJ0Cd@=O(z>b2dEKjry*O5LVw0+O37MS3%syRD`a4mqD z^3EAB3h48l{pDrj)%Pc53+=fOaqj|+2vB5j zIm+rHZ&BHKm3=1r6YGK9wB6BakIis^lffrEiIL7zfMuI*pnY23v20rITldJQ`Zr+`z?8F3t;n6EqczD zl#=YM*z7;8@W*JF^IkwOs--~cq0jT^33XuvV?g!BeGL+lJNtul&&vkEQlrx6PJN;U zT?`5qI$CrVwm(xt4{x)a zK!Jy0$mRTu$LW#i#?-BpQ2l$@>r$CVM{lGao0_DhEXV)F@%A_I0RJSCCim(BzH+z( zx@YSTV@3@Tu!dhb`#*s*6NJVN=|x!9NGQ8MuSkyCEh6$WLy2Z+H|4$yqV6b-I1PBf zlRWRJME(zUfr*?-KZ8!%F7*}$>Zw9KipKk7hE*CWrvz(8RM_p?L`G&0l)i+l$SdUp zFnQvOD!o*6?lzGKXtCHFM)dL3C1>OkF$zGNkxFSGYd*fN)oBcfpk&a` zRQ<#t)Z=%crxB>taFdDop3ZzrPxIm*Z|J zo~nAYqM^INP3&?%sMu_%n9x@JLTyFFOS>MUlbIoS2U0-M7pePWz)F9PB{n+N1K{@P9J$(h zHg$JJtKSQ@pK)>Ve4jo>lmlUXy=48klezIsw`zA1nEP^Uk&x}qPKiee`}eaI%3;H- z$N6SJc-zBXrtKO{`Y{ny&5d@$tHyZ~36RHc#P!cOJRy<*4qznqdH6?67!IR`e!Awb zkx<1x$g9kw_D-c~Cek8gMBT7_bXc$}i9KJftwAn5DgPAAr8hU`+euf;t;l8jWnV@Jp(YAD z_P=+{X7JM0l=?D2AwzzCQA3v#F|aBPuzRu7<4i@LdlgdK35pQIltYcBBXc44l64_5 zfO_iAtlBipax4p^@HB%?g6m!)U$Tz@`EsiSQ|{Pvl{^yYea|pii`q1Ns86Z)ZQ@o;|Dgbfhg@Y)!g&=Pij(=CTC4IMLQ$3%$zYurU2Np}Y+&Z};; z5o-dgS*$giHMBzw{O)~uvRbuXM~KFcQYM8w+$c7e+TSmaDw4qD6BSt)LEqZ3q6m#9 z$X`bU#iX?py%>N-<36{O+n}FeG1x<7?u6FTu)*@m>jZnV{(3(Ml) zsiR$H`RX(h>T=b7(y1bQ)}Q>dv$69782suk*QA?~FQ{e24b*`+mHm4FUjTcb;d+?J ziJDKG@sFz%rEvzDc=*RkZV_2+<37zYH2*yfHpQ7_AXaoM+;eCU)cQy8@1IUUd+d_O z85VRuB2OFoLo&Yiw@EWz-Yps0iY_4T27z?gF>#7{;RTZZ9DV)$^dm-8eRtzI^EFX4 z!!x9ot+>!*)i|RWM5O;Z@nt+)j|Gq(bD;zm^{l!en!Kxj{ z4@pZkehr8NtIshD;DsZt^i1uON_yZ+%u0}uK#tve3EVa2l!Chb>oMBz5HS$xtU_s( z@N}AyS7nJbq-4GJNRS*F`50nptIWNuu#v)HWh(}aB(G^EgyAl5vVOPU0Rdb_HT8K% zzMl)T9i;Ro^$?)O7O+i3*Bt1OKdmhQFgu*kR(QpI<$wZwtx`ab2*G4HjM%bWP=<&6 z-A_(Xw|aclO8Z2&WC+Zmzo{;_$zNN+&#|ut_f}x={xatP8SL=iPyeRt{b2F#TjHC1 z)mr7jH=5x7TNdU;x|+!L#TxmkVqGzK)cZNFGf`j@K>l(dLqysufg6C(XfpO?cZOWBOTSlm1SZOWK?riNzfmz?6h6k?=k|7R|zsXOJnB1^DQFlJt4=W z(^IA24deBg@4gQ22a3uTGYdb?DO!ze?^N?!UjGuvD)`Cafu7M;cDBxPvG02v<~29x zCylRC9l*V%@%u(SL}PBuq;a8_Zrk0=K#NsPSXA#_r_)=9(3&&_7!|w64q5)#gmyv- zrQf8OJu{4_{A5^-t;W^c?j1eT(}WFqq6b}gS3=m-mx%~f>IcN*L=(mc9$0}_peXSE zBc!kR(L9nS6xp_CRiD3%KHvxp$f$4B=5@dw@4n&d4!{U6yXbfudf@-PD#|=v#J*-r zCBH%-OB4AFI>5Ew6lw`pr|^I=04NCRynmw~EaZ0K-%?k#A2CXzY8k|YH_|s(6&=b@ zqqEvZALJ6#rfH9^kII7PE~?5T6L`cpQbDIiHD^e!jR*aIN%B#w@ZMGb0!3LTKtW|` zvA}nk0nUPyp7gOCB=7j>^yugO121&bQ_9*c0sIJdpw%{K-)<~*@w*SF!-!&t=wgxc zajpi+`Axur%i_Gz6_mqd%6iY$Tf~(Z>NL6Ndrt6yxGuc5o(V@J3)TYkZa^?bRT9}X zlatA~wo8H$vAks~-1dhNJi6xqmJg|fMUd`UcIeUU&@`!#*-+@288%B{ET|OAAg$9c z6}h~MTDLc(ZFi#2TNt!}jc24ny#AKHba@3+&;;sxY;HZ|aoGZ6NDub;i-lu*gd+48I|F9RiAMqhYW z7o&mbuDg#UK2~` z!3Q;Zr!bdi!WA)^d9~qI>7~X?!B5JEzn%nBYXl-1|ACZ~G*nfhx}*CCwso0!w5F_t zCbK+z8F0+8jX0GP*k(wHx?6p<$G%6FN=BLmimhf3ac}3d-1PutrjUQX{zIoeOoajM zXA(V0s`2Jm*!}Gd@B{1X?qmF-EV|8OrKrDVl=1>5u3!weO!Odf_0uPE{1w#u@>qL2 zhZomg_p^T~XYKm|if(5_L+QDdZ^80LTqc=`1P0S4<`_9#&az-y^SjmQzNS(-V}CAJ z^YW!WH%w~yos%q1qGAY!;!7^Cwyy-I>#tZV0Zf~rmZ5M2EtXW^z)J!NAw%qh&uvPo z*M-C)w=)CNt2U~W-Ru#G@4v0wG=|DqAQcf9zE@H5 z7#(ZoevQO1IZTX9N&Zq-HBzV6poybvM~G{y4ymZlE4H3BZc+a+S46c?PPvJ@HM*^5xFB?IgwZ%DL< zK;V(~b{Jr*$E3lnNx^Gfl|5f+8-5&{W{CN!#ez=-fKtc-rxe5fHu!n_701oL235T< zj{H7ub>PvxeDX1Fa3A6F`!HPF6Rfcj z0zk_EGlC4-A>c#87T@91(-*#XLqAoFfuSY*m|K6!@W7YBQ#MCNLu!u^X36DfDlAUC``PF2V4^xNkt7Vu5_k z$`^Q(Mm;WG2I+O7$hs(k;%Y4IDh;^%r0u9qz#R{Ckn@pz{*pKbef~CqLpFmjSgr+N zJ;aPi2o87*(uq@qB{H$PAcWCIcFlT$cnXbY8a0#4VMF38MG3;AHUmlKZQ|c^Pik8p zcNWVLX}~gWwfCY}e{=^QO5UOn3R}R|6pApY1j!Vm7^ZO5igNG=QL+omuO~ynN~`Ns zOB~qjDui_rDuT&BQUUvl_YUE^Fva&4f6`4EGT9SfIj#vqV%T1HotyPo2&ZlVi?OkF z$28H|Yp~K9f!Oa+F{8F^_s%E%{NKS?@#sP}uR^@!ZS5g(`>*Mrh?q0yY+pNH&t5~K z@)5`T6zU(rrGC0F5mAUxU)5ooV9E*iZx#&2scGZTOqhd58=#Wyj zw`%!d8vFAic^)gUkEq0m=S3Z+qW{XG_D)nD%R&4_q#%IFWRRA{;qdn-l13{lVM!gQ z@|uzL^!_UBTAc9o z(p|OH4_?8&ybS05wWLw<^~(@h+I|2)JEF<~N;2lT4`?!{uFK zD7FukR(3oB{OWI8Orwvo2zQfs=Kr*UAkOATQLG}3UXR13`5$_>WTp151Om1b>0?_k z_rl2iF8`c$bc>#Nm6m+lfdl>{L8lHm*fcuThu>Dt?yQ1qP~!dp7HJWIr%jZ;8G5!GT0Sc&sgSULg>IGdv~Xtd($dvm>3657~2YI?X+j z*)HJq$q!lew5=q5TM8h*L7k;cc`~zea%S$5=#kmoJk1-q2YWxiCsQKspbLG%P{dR# zQph-Mw*4W~>X3q1#Vr^#j3!^G&yi8m(~ID-AaE9V8W>ysLOTLqF6Y3srj>6GOSP)! z>=Ol$GS#I-p3fy$?Nc*Oj72OV7K@GRKM%YZKm7)*MNtvbSXLFLEbOOZjX3u3)42+_ zKxS-Y7|}Nf__XH~WAeas>_VQyKc189GZ_;2oKtm&U(^ z23gSBOkuf0w$DtW+DNSAQCe2CnY%M&zzs8zVQO9Jc{q=>713FD8PVAAS!-4Pz3qXdr*%$#Om#v7hVf0PwpYp1ve(1kxq$KLU>e_M?$sk{dNW^J zU2{V8Vq;!kKmF)+SoDGZ$RY=XyORmp`=64~kR`w9F7xGd&vE)CX!v=W{3Sm8xxMr5 zj>d}vuyP9fK3>-^eoeGQSUS(_L3=zt9{ab7EuE4W+(EAKz6>6FW$M!);pMYHV)}=z zAN_2PZHUqzt+jW8U2AL2qD}_Tt-oBB>va%C1qh4qe<(PPuM4v*2KmjVxm(6`_&@r2 zNV0Pfba3&Jrlcz&S7W{9eBFfe-?jXUS;~63on10(j90Bw-W!H!i~i(Z&{zpXHif~R z6QB(gmeB~gV1@K|T9P8$ME!tF1NoD;M3j5S73pa&7&7_l30YGJayj+hcp~GG)J~Zi zF9zr~Z|wnlRT29;K)zk=VHMw^Fnb4AS9Qwx%=BDg>^I|LM~KjNy6~uF_1y}jE9*eo z`l!88_mTWL2wb)00(Cpap%~bAm01ac+zeuB@h`pIJ2JoPY(FX~)6#z%Ff zw7+n7MvWU(QYHFNvm`gO&BPPTe3YQig}R2@ZdYvd&vMG5xm3j@3{I50zNL0ekO)5L zs>i{{qY;J=f&R7^0SVG<<9GLcMAxA&%8 zA?63Ct?;3@`8%EhrG)}2+lDaCL#f}|RTnk(q2xXV;xUC*3rQVWBXx_wJ-I0dI!W1e3S4es1Sb}9`fTY9-AVLZ^D_jN8`Dr(0p+;TBX%gr@>fN= ztkg#V$SKgBGh`9~;X`7|E)S!gyMmhbU|b9l%2nFHb2nL0B~yQOfmZ(1j`V{Ql=Y=> zzroAAG6u$-ZZ71=02~+v_#)|*$;!RiIr+3-8Q|CO4zP>tA%{rkbAY$f7GPPWKi|dK z0=%2)X{>Fii4b55b26(e3RHK8cr3Nb6xReu4t9n7kW>t^g7n3l5~Zl}&6JT{;ii&c@~ z{$>+<5nXoj?Ct>DPZN8gv53=j@8gyID`59eoy$72)fb~|IT|bC9Yg`?cNGP|rzlv` zk3PZ{fT{Qr_Xo*()?VpjO%zl@NjI=pFhgv)M{1`~A3he;!!OO{&g@X~c|Id|1Ox{= zh>Mtr))8EJxQLB*uh z1qeK`?*d!B1o}b4hO66HQsUPcJBuLxCr8g}me9qxd@S-KYlDUJr=>tX!@5~l`hCvJ zDyS9Fbo&`4m@Hpo`}#61vaPOehadvOMNzB9&uClNTarjI6nf|wdguX;^gid^2ta`% zzPL>5hHJFUeDZ3v(oDFldwoI8t4 z`{eOAoj~WAZ|dK&)p5K$zuTq>PVc2l;*;7UCVG+DkQVh@UDjwup4RHd`We$&|A;hd zasD0%7!M#voFbIyyzOv;U!YjwFodGqE2MC0;Rm+abHk-Z&9niR#TYr*knGM2;!aBG5wvP-wzUym_dwzPCNtp1v9UM;;-^>aSo=42Tn%R* zAAN{0b&-u)%}h$c?ut4|`WZ%DJ=rw9?kwTiYWXN`7=A_wQA(qmfZ$3u97Z=chZxDT z@~&g?sJqLOe!!k>0H}LXuU~)Fx4jsLX;5Ljt(67^`|kTXFPGiCe^@+(ZcRW!GDKiZ z*Ltb8Yy21cww{PPXnz56ck_$x*-GO?i}pV;n9O8Ip6!<#lh&L&-$qua*jP* zUnh<9RiuCG|Gd&z_1yKCT{fV`a%MF+Y|?csr`>5}59jAGjk6>{znN9_E$L526T@i2 zysku@ldiSJ`z%h+(>~h^jenM&?&xM$b_%8_Mf}vnTWDH6S<$%#WDy+F98kI_W49Ke zDkQQy)DHdryx3P|U*jd4F+;_jc;%C&ay*ItZQ zYsni?aCc?-_019LQX|tcW9Gvb8edsM9o`5y9xAfUe75vYTAzEJ&%g1}C`U_L?*d6p z_S{LJYA3dhv+(23;m?g7Wx_=KrGHjxZw7XfXu*30%Qi(i3H&xp<(4vz?1_6PM%TJV z<9@YF-=$vqX$P9WO_sv>K(~x7PmS$|9r+al3DPSdb~U!T@jXs?ThGY6S2&%#WoKaj zcTVb8VFC0dV@F;L1G|=nw=-UBA>+><{Y*%%_cZ)aB!40Q_dMwljz@}r6t*mk8H|dn zPD9qNa%$>vvzo-eY`y7%9E&iaIbNrFV{4HqyTm3hbA3?0_1-u)2Rr$P#8vKb>S3PO zIQmX_x*rbwE@xP}1u$|)g0k-BFxSt^lYV#tbB1`3yVsXHNbc)?Cw+`QuWH)yXL;Z8 zEy0ZkB}Ay(qBjrH^)>D^#SoKyy>SA+t)sdqV8y^grl85iPN1B(0ubq$-8tQQ81zmk z-Jv|$N+$vJa<0I}(XGB6E9^UhqY&AumQjxJ=ws!^2a#V7$}9C&Xy?0vpq8(*tT6MZJ+lq+ieHDEkD*GC&lEK_1AylNdh_@5K%|m1WFKKZif;pC;_; zs7p}lr2LGT0-amsJs}*QzP*4=DdgV7Bhmo+%gtMl+gkfRbj=8xvzQcQVB?-xj=b#< z_*XzgZ}KAqHcA}mICN8Mb14sF?XTbOS+r$e{ThTnF54zvW7A!r2dFpuh z^~Xnkq8WH_t>yxIkdFY9yCQ3jL*(3Z&h3bIm9}G!u5rg#;#X=jE#eQ92IwwkxO=$3 ze-!XtGn{;_iEHwGDBTSCeV7e>=v}|R(Y7=&dGz!La?#buun{(S{@1H^Xv@>2M8jbAe!q|Hs-jp+b(F?|}R<;mmsmi?Rq33DlYKfc?PU zy~h2MnQl>9i4dY2p0hv#nAKw6f*qW$ZAS1T(a~D6{~v<6oStY~wYhx~q+#UXd6#Yf zWOY;qdo8@RB$e?7R}hKBA%zz5zf?ZsVGZqS8*CDzEKY}@@e zc-j(HsMkeiFXzRXbh2$cpUd=GOI6soWJf*{$qmPwRRpCQ^RP!O5i0h4hI9^Q*BuQX62eZI%X) z%e0B?=W1wCJJh*#s0dPs3TjSR(*4GWkm(lP+z=u+6sacmC-(k3-nsJet4CZt>_JVpMmrqVIE@C2KLRg5&yAi)d@=a(!ZnW*sF$3)6{6 z+%P)cb2%OaIZ6uQ>Y*4wZAGxkqYkC}4NvI}%`hyl$`ni+R}ZmMR{*Rv!jm}vm{j@A zH;CrdK+NGdH^*J(bENve5At54-5jkdpG7<`X@U(ySiIqNO-!4WRW1aoVZ!-K__Q0Y zE4fZULYqh_fSk~mi!QoJ zSY<(d2Hn`xi+v?h%Dyp54udcnshT7`obVrvtYdK--=(q)cwa9EkBJ`BZDRXk$-7ge zzsfDmo=NM~fr;p(amF06K1kt;SZ+{06cd2kOCkc(rQjVY6g~%B85RbQRVS>L!1_ws z*%r5QBW_p_jfJRz*3&HQ*BAtqd^k{$Rz@;Tai-9F8{3|>nanm1{Fnv>W>$10TSUNK zYlrZ-_FqeVL-qC$kq*~5d60M+*0#R5b>R*;`RonUFFqEzKo6u-=Z zx~iZ;Fyv@l3_zaO7;p;uyUtM1WL2NY33l!2W`D94`DOQQqI)Y04}>Ld#TIkxg=q36 zEKG|lHBpYw*2ma8PBP3vxdX?;L30w8+O7s&gSVU4Y=tUj9h#_~Kq}26RVdw%Mdc6t zlA}mNMlwOvg^NT*VD-8h(tOn)o`>&vl{2^XlyBe6ed{|gkPpogoS+-^Zf35AR2;3F zmrMPV4{g6>uf(hHF>-ii90m50HUaOw#A4N5Inn`Nze1RyL2Xt(ZJoc=52|qw&?>W) zc!^*Po@0d6^o#?fWPqLP0yDV?V$sSI1sfHQb|A?lO_nF_KL$&Nwq0Xm&Jkjco{q_? zy0|wZwlNrdn98F80iN9ZxmAXnj0OFBPRcATdGoIp9O=N^i5N4iY@G#m^mVQok$A~I zD?8XgAlIYwvln)(lvks+d{QwWFvh#uN5X3LtTO2Pwb}xH^|NdluJ%jmn>D)QCr-Qo zz=OvcDTU>j*b*R|SP?!_EoFFQYI%gwuPL-@fipSM6HCs+A628JsdYsOUYL83*c~v4 znW-(=k%(Mq^(xX)NRdWyG}a+DXZ291w_gPVGzM^Qc}IlsejZl4_3n`CxGh+To7kww znX)>eF>l1O+D9Q=MXja;H)$y_m0{kpL<8r9xw>fEpNWxy=PnZY7yPHU+)c0}@a3(z z-@Bn&ZvF*Y_YV0aMD$~0Sdiw6;Ie2r^Fs`h&*S0miEr-Xv` zt)YkNk%ugjG72v@H)#nIcfs2aN_8=RYH$ZdP*~z0)`~Xb&GWCGeXo>n^MAh4?=)Zv zF6a^?%viK?Z^Hqiul>3Ks7kQA?5#|Vr%}>asgFzlS&6q|BkZMf*Oyh)z%3% z1dZ5P6Bo|e^-5rvV^2|U8zmsiYN#398f~UcC6Oc=ux$6y1rUvFzHOB+pVB4DY3|J0 zfmkMpuJ7{Mwq0Rv*_gNat?FWUA`r&m>Ro0wr+q?>w=ONZa)B;8kh@M zsq17f#&Xyyh%i0ovLzoD624rVY|a9<5usEA3IqEjffq`3+q&`o_bCoxZujJF%-blU zdd&e;VTS%Ocy=q-NH&3vdN^^ZJ*WRnq4h-~Z46&73=BF9h2PAgmfUbCiN6cbwFQ;^)$e_RXmcA&%KJ2bb;#WoWg!Ce#mus(vYjdqgX+@ zpmpc5zdjnqQ@0_e1fQTFVI13SlETDIym1{BO_#*zW54xS)+ zXYApP*%Jhl8T77Cd|enoM*J3*xTMc2_|uJ&WEhv{osVyme1sddjM@VtKiFX(Cqs4O zKG}kY{UdyVN+U}uUa#XH9j8M@Xd7-vuZKrRdyTp7#sXTrmUmQW<8zbPnlSl+FJiae zMqFPA@(B3}f7^t*13HELtq zXwuj=8r!yQt1%nfww*Li8r!<3-#sILGe+>9y%*+uCKSGcKHYdiKJTen(u|J^WHY%q zg8VNtr`orfWV&|~e_p;c9~$g@e%{v4{p#vnT2ee{P0+F>GG@lylRg)n`JA)O@}Ob7*maBeKkJdLG^ZKU!joxs!06*qaNzqz~M;ug{ix7D{BAQ2Avl5Aoeb#5%HowTF7PXP=tl2XUz&J(+QzQ z%}dhUyb`#7j$NP)Zj+6I!s)XMj^{#xpGjWiMyG_W@sm=*)+RPH!+N6$!}RZ59nY7b zaUm?!pF&^ox4T zz@L?|-E}R8wCSTKMRi=!agC*qCx7u0h<8weFRXuqPIE1wUA`SLO5VNFa4YZvFD+@9eK7 z^CMiVB@wmaDX-16Wr2LKrOz&BuVRNfer1q$kMJ-vY2aF1+~6WtSyO|xgkP(;;_ zrgBT*FlwNf6RZ^3j_?YI8kyR^x?*I#m)H3X%d_$i!E0bC*IqvN#$8oVshypN$t?}4 zlQH`ca?zF1=RXcMw>a>mGnhf34U8nbcP<8qU6ouA=HEoQ_6V3Hj5Ia7UhF zl8E9}hxKG_g}BMpk1z9~Lrb@mP5TH+p9W;ZMG(_Nb0z;Kl!&mJQ~B5*!SOp-C9-$H zN3$CpS0bs!ydz><^nr<+AD*=aV=*`r>ld8g;5VG0S6y>SatJVpvuRTOh4^`g~jIMhi5d+V9A0iH;Wq_t3ytCPF7>%Uf2$uFvDb7u~J(hSds< zE)mdhaC~-Fg99CB6_j1j%pEwYmKa8Ye!$y|p0fCb;rl4SXQ#4iFUhja2 z2z$AIhtb`ByiT1>aIR`RU^Y0U3vk=fluN#O&BSc$0p&f?-vSGM(?kprmKF4^7r-T? zNs9$wFLdZriGjhX6dfk{v58wYEfO93_`wZ8S-85AuO9;$jgA5zx&}P-rz|a6CrCnT zA8@9dH+8*fw0RyN<+V%#c-d39@v*Uhw6{tRohdw;UOq91M33xs?34nO$DnSHizZRt zhUVMK_xU@6TC=d@ahxjAS(p^uB{*-=ETNCOrr=>Z(9HT^HzFGyG{_L$n&ItD)urLN z)TP!{6Nr^MA{W;7b@Wih-O+z(2`MI>sxY(6lJ$O$Hnz6Yg9A?a?dpw?RwMWPQZClF zgXZtfGUEV~`_9nT*1MNYc)7J%OaD1T3oIPc?|kHo;W$GzbYvNt#$8eI4?pZny3XMH zJOw=y1;(%qFaBwj4#TEOm1lG)MM*VZ}ra&~QE!4}5vS z`}=(c)5Xme-rnPQF80r(HL%EQYgE42uM7$V3YN07jph-x(t-|E3KE{RW>n8)y`s8I z#<;`>0K4t%%!)gE&8eR>NSkC}o#{-AeISCS(VKeEM1 z4yDNE)o2iX)ADIB3S$v)&QIgRFeUWTCk>M52zky`eb~x;BLB8DS$Zu0t2MZ_7wGz4zsAVDep2Lxmk!uFvKEZZ2vX8SopRV#9FQPgA`B`l_0vihFyyd zt1>m*5U7q2h&yFkFPc`H?n_N%*EF>tCV6-ZfbUR+qJO$YZ*`n2An^39A&s(L$+UNL z!_34gZU)+;;BRLpqZhiH#&3ndu5uOyfdu~*gruvCM%O0}XF@2w=Si0qp19n=gtTYz z<0wG91@d^^c=V~Xk63`o#8SQ&-^#CVxH|PLqdbm5K(2{|3pG9Bb9&=a6fo6Q`foLF zjvj~}kt@e`oGx=4D_;K$;$K+XRfiO878<@WM|W< zBYsdQu;y6*e}>4}6oA_lrlIN1PZRyLc1?6WYZ>F@0V$@}jC&c@X&rs2r zld`JZk8-!rnv|HRfAwDpk59GMd8^oMphv{0WyN!j$M$~$l6``tk&V2rf6mccJ9~A0 z<;@iw3Fyi>5=&Ue4f1<9l6>oivf92p0O5Ke;n@*g0j+uw_!+?Azr>eoH>VSIpDaiZ zjuO&OYS?9qNp5%){6b|nyNk(y`fu5Wbk|}MgE4L#xF|*7PkUrsRz`vB?i-nAb!J;I zC^^DqhOmDo8iXREO^1e@ZX?GM$diW97P01(Ypeul3NaP6r0&If0TMlYp)Gd&rSIn} zsfWz=vN59Lh&x6T0~P?N|A8ia`1C85--2-76Pcaq8Ls8y=jU0j!k~`=yr1_{$Xdpd zUM*huo@kwFC1*vsm;wpth#JUEeM%OO>K~AOvW<{9Z1ARK;{nuJc$O~^A^+4J1>z4t zrYb2geF`Esa#3AVrtjg(8S)PrY_8dsLEEVoi5D2BSEi|!%1J=Z3?p8Ps*(S-R`S=7 z!@x{jI(sdQ3KZk>a+KQFtk8&hlhwaOWSBy0`} zpw|!ujrBeRaDy+6#*slNM2L3b;==dr8r5qY)S9%Px2r=m9u_4ajYc@f+r8F3yH8A` zJ{vJkrf~eYlKUXLAqxO~5?4_nMQ0iSEVW8)^nNnU9kU)okednWqh9&cL|LaA3v5S- z`9Q|)5zm(Uln}eW7qpA_Uzx-0ED^7%4BlAFChyZ49hUt+x_dGn^j39+qYx6ot}ZS% za|({{Z914m z;`>EhI^f&+OrTp@X16C_2~wU{qx!jN$1^lsvoie~9JmqPE&(*f0;rQv67933ii#JZ zo&Uo1x=od~a-UqYVF>+$luY^`dexqo4%61K$4X0z3rM_C4PTn-ZI`nNWd0|?4Ba!o zigHbpV=#HR-)($As(E8w<^%i~)N0~2`WXnXtC)gdAq0KEVZqkrm*yZR%Xf5b(p7g` zYya?9KzT8k3uOB>i|wlc;keh=_AsBm4_%Gl6ZYFK#FyG%*!b$}dD`pAUB70qk}IT` zC@~_4uv?9Wyu;rqA&xK`_k576qtPlRNqb1fzy5K*|JC*f_rnh3JC&`msoJ#Dqw@5^ z`^?DHSQPNIJZ}6HB_HgBgX;*-?rso>93&$b!PG{4shEnOW;frg&{|iPt#EBsP60-u zkeRX1O+( z1?&>#vpZ@!rdht5HmMYTW`-pqesseVp?SlF%;&h_kvdCXKXj^8HGhQZ)Nx-N#({D} z8B3RlqT|^)@rbt+^S3-sB3snBHfYly^NtdicN7;<{QwZx|8x}IMOxLtrD)V{b*i-( z01l!e7Y%DP!pW`?;U=y>1~ zznYp8(lzE!9!2>C7L?A3+KjA{R+l?A%!R{d6g3jIzCEr>33qyLHz^w-8^XlnqFH#$ESN)@6bk?^NWEE8z{Hq_Re+2mct~k zR5Vh4&Hl}H{R8Y%nha{#y;k4qG{K+${P|-IW$nV9-K(GX>ZAK3v*WU8LveY^`B<}A zng_XukOc8WzTiCFEQfjB{G=g~>wCA!Hu#QB*6_qu^j8!K8Jkw$+{X|Mwn%wRe&J|7 zx|R}&0ANZuctnj ze>#DaW*HGe-%L&9NB75WB*TUl^#Ql;d99D$BbJPH`K$uX+YG{SHT2gvxXD^w*O)7B zKz=hg2r2U$fLHbWHTaZRfz&b{Jw86(*)cF4*s*hz^P~43doW z0o%Ckw;$dTet7;i=R$@ja*4%LK9*+YVN-W7qxb2IUGKTnvm{;Itb3+f5x$cg`1H9O} z`pcp-SM)B_!6qH8)~9Bl(`LJ?W#9MZIMH+D$z#fi&rB47h?jIOD$D2rZo`#9EC`=~ zcxbSYTof$(PV6P(?5xxjrp4-^6CXknvz%w0iQr7x66&PF9GY{L#KR4w87?Xf7$#&s zi{0GDw_cr^U*+`*&rnk&6Ln3^7hdxwHK{IeJ%o7x6)8@8YSX7%E*-;&00AohL@+i% zJUo$<ueyoD1h;>YH1s!Jgdep`n%uGVv=Nj|)pao!ut%KLJ^VH;0s;yG zA}K1QTxo;X`323+S0g3NLgcuAjRsi9pi0;QP*f+UhG%`l`5sD9*$6aAF#cZxT#lR? z(1@SvRiZm-JJQm1rqganTer7#itK8nmEY_)1s9R$=%un_L&k@$)TGlOhxXOOTF$3RWInE*NeRAhDyUEp$>35I{o)dwQIHHLft>XWlh{{()4t_qs)*KRUS@}uAXZm@rL zDx6`NH?_SF1Ka+;<{+@rN^jh66>RkKmRZgfZJQUJo{uf*W<>Z^m(|`%M4gBl~JuLUKdA|$nC5sm7b^v%vGVv$bG;~BFeW~8ZO{(f* zbG{bYupGYeo&RazF6cxAkOu=iz#t8!@A%jp29#jv9BX%N7KZGK$q6I}QM;@H;RG?K z+9z3?XY3KgWpR$yy?hZoZ&Tzo!@cx!ofR*|JIOjP8_bR)tVJL~0WM3ezjxEY0oTpF zpvvSHGngmK%qanL3c6A^K;UisO%@9zoT)&fR0R`!oRg3Xdo91R2)!o(URRH?SU*sW za5t4~Sn=K%V@%G_62GEYQk}W?;q{&J7Gd(!!+{mgx`57#KGZ^BCK)Eg*SkjeN8jbh zjt;@)pE6rgE&0$x#UY;4Z({p~nr`PX-!co%R% z_(q%<_DHXouQODa4yN!GU>Hr6OAzb{-Ffu=BsOxo#3sIaWA`Xv0c9&A=la7m3h^gb z4IM2OJdNdG<+4X_xp+vpIvap)nTOPNy4y4B8& zFW1^v5LZ8p_bj`iX}6p9&hm`pL3YqArPsW9MA6cvM#8t8dOeN_7@r& z8n6*Ij-g>*sj4A6rMj=>8DPNH)Upc~d|EE@ z=iU_0hfSA8I=HoOxg($EJS>iqstGT%=``|2>KH1=9UN5WzW!{JVB*s&FH*Z$)?@?W z25D^JJwI70xMA;AY`h##Y^A(9Y3;5#ZCC1?_|jtW>yv|gnD1^;b52S*x}gn+uH-6H zLnEbsCvIkN)9qKwb6eMPQFe#O->r!@ftT5CuT5_^ini1DPe3iE>#2)PWC0tRGzjmV zS9AxV4WT(3kP#?y(m_!uOp_FL@q;f9Nzh&@1SWXkKH5;lq`m;fI*3BlFyb7vL~x+0 z7%vn>{1udsvoa`cA-4lwmXtAyxmGgxf6 zXKO|PC=>A>P0jKtus?`U93VjOBt(FU(&}e6Cgx;P=Gzv*%*(7?S}VJtcail=*~6mn ze_!Z;tfOrEl7x6dNBKvBd4d^J^bk9Ls{d%|@L8R0$sK*J<>wDjS)y~7b|ih3d)jVY zT*6g0S4bdpDveu*lBVf@sNKGF}y=2~?=i8@ZwGM2TQImc+ zkZBYx{)_kTh>p1_Fr|2B$ywf6r0O%M<}xRFqP|jFS93H@WUts8Qh@tfr&;8M!axwy zeP3mJjnjr3^Z9Z4`7x)UxJIt`tYUTq+JYbCzI1vId;!Vk6?@o<3&d&(-&?2ygddg~ z$(uPlG2ZLHa&!}hej87y?#KBO2ywFkB*ZseE`Wp*tso^wlknhhs=DzkOkHl&Fbx4B zq-2wHY$2BV;yXRvvp-1K71Pjqh`e}Ime%JozZR;E77`r1a%!cAlIkwk52L$P3R$+w z%bj0!dJb9;Ec_$|*(V-07-N1m#7hZqW3l!1Zc2`I13lAdh<<)nEy=3j>CxY$Qn4$z zt=6_x=4X|-JQDVHE{>U!o&l7B-x1*0!+&v(Ddk!rBX)Qv7UbX<|a>aSS)Vvw12WDAAK2lunDDY10 zkjr4}FY0}b?^LC3;9U!H-DK5i)3>CGm88{1i4;_VZ$=iY4*pkjlECOFFGMhbz0;7G zN{0m)A=bHSff=z^jMtdFC}we{*_1(W+J~U8c<>)2e_I3WJk!hRV`Ex~6xM<}7E z#hZ!}9u)j#XahaGKaiuYLxFBNNYR)#EYn9;5eCN_Lx3AL7!)t-l$GgFFi%dSD5g``od)7pg!{M-;5 z;L$01#cl>Lnnkv&b^n(28i6q><0+RHw~?cscF8B@4V$5Y4h8`QCl^4buDEm;2a1Sc7ha{%r6HLoAc5G_$enO3`w2raQoX z^yu8Nlh7TwypO24{nik!9F2JYaXUK0%9m7iU?7Yi(_=|cBx6bgV5gy`GmQ30 zk;G8Q-~5B8!ecRAR-ep+5bh|MUQnsMcbh<0sTj=Bt8HDp=iMS*CX5hVG>_1xRomiv zoBB{3&8XmPafzt8qZT8Pg#al(T;p4R1i#Ui>K$Bh4RCO@a*VClY+lS}+?r%ge4c=S z4)}h&Jv+4W^6@$IZ~QyKAO1OM-#@26p9OB!2*o$|64@dR$+9&$KmOr2$~4IwmCqJ$ z=Kd(pHRd_3qH)Ss(Px`m@`H zwRW3!YdpE*VKD?s?7i>QMMhc+Akf2Fs@@Vwv64w%dM5T5Z)q!D@MhmF1V=$1Wk!6C z>hgMnqcV;nEmUS)szzb4Dc;pvpzd{XVNFd>?>%h)Jq*R)ex?a*lfy`ecn5UkNGAsL zwtYOyF?>I_@JoLOd}gR!ho4WxpWtc^9HmkMCe7<61hVsiH!k$&2_`;te70o|-8@^& zs^@K%K194HK!P{Gt9ZK=_;i%IzN2)1qXTA5QqOHuufGnbHYfuuN#vMz09v3?-MeL= zyDr?wfz}Ou07^CUkw5GrcRA-!grE&F=Sj%xa|hP{>sPG5L3{fltYh_7o9AMUaB=;+ z-{3_eZtagXJp3ui(24(w3!FL93*YHA5hqZQ4y~NKfby6ve(5saqxZ;fde6+$w#moi zcHnT9)6*W3mf?s>qPNf~Jr|HkzUVj+pbs!>)%Lj=rE1-GdwaTW?z*okphn4eDoUL! z0gdhDP&j*D6uVy+x50HV(7e?TLD`0GQGBJ#8>ofvWJ=u{v-leW(yNg2xWyM78>7P0 zP<_3|&-1Xm=Hx}P4CfYUxk^aG;^d=XQaCB%gP(+qH0wp=Jac!?Mx!>Ivg|iKY=Ol| zMYMpR3f~Cf0Tt+9A)(58iLbw?@i@2tr&bkryiAt9~MVW5;pw5FPu)t?UdXS80U>Luqo1K-#D(1Z}{VnVn^eI!LPZd*wOTZzF@u#C|V`__p&{RhrFXtu&pU zpC4GbZ#-n0*EhGemLu-zY@LqTY;x2O-M7=W!-2V&V950C(ez@)uVp<+=oY7)maiF~ zKgtH86E@n9e1T}{FYh-WdxaM{F`&KW-)TV>biBS0+-5vHZle8rF9Hpt-hGI>mPyQ8 zqT)aomW)Ys6vWo}qkbwIg9Wp=iCaFkM9E>ESVhx(_lA@vGIRf8Jp&3>;9L0iO=;;v z%ap0{G_jXUZXpn8*?aZ3uTs_*$4_vurmn`YDsa{(zSkWSW|D<5@=rj^XElu4l?B;& z{POAE`WSR=fVIzB48tFws8Z8Cf#`{@&XI!$DIWw~quChe^FzHTl7Q^usi=dIkEcjZ zS$sFUU3o9|If0a!Z;=FPKP5cf-u_)7ZO6QNyWf^JF+N*FqxLIVS$AN6Q-vl$_ZV-7 zZcReU8%G*yF-$sOfkO`MDfRP4udW~ePaRk1K=bQttWS`}`@iKt$6WOJ*iiCXFQ`_# z1?Z|Jd9*8#!5G3PmEUB97gK#F!_di@`eW*SaZWfAT_iuIy12NQVBDkg&A<`(3u^t) zB*u0|16oW$-u{bhQabW2*7E~(*t?Ni`XfX}NgE~6m|WIsWd?SQown~^*R4={=)F)* zLM;eIp)jP*SQK@xGa?6t&(&3q0R5Q3qFC>sip}DxobpD_$a(TXs;s>ln0QhS62Zh-ssl*=GFmk zSb5UWXVAWFZB%*)ihidj5K~4^Pwxaycvjwz7BQi|Ir!e3I3-C%TLmZB3U@aqTLRuY zO}CE~35gz%NfhzTK)#%d#xTnF^U-&j0*acrsINI45wLLT1IZ+_=|Ikmo7;%mb{84# zBdk)bDS6dGzD9~@qOlN{;IgYdJIte{lwT;mBsA)sy*pN-N+UKuAv~O8SCYrc zvt#Dd^mx2WpcfCvOHk67wgiz{Qd&Qj+Yg_LFY^K0&b+-DSxmd@TOaHK?*O`)*804_ z98=#ZLuHP?);5$;4Ai|=Z_J7vVB7dcH3P}qR^L4v@r-C{g#jX8wtat6v@?KufTP}FadBmV+QL5}*sz(Cm&mUQW*)5gOd zE2{I8yG=weXy~8H75Heg81c~dK4pR`&*kHD_Mr3va2?e5Pha7yPV!iNi`iP z0s^&*9W;QK{Ef}P{oLxYO`=t#dyA^a8T<(V#j<^}fC1`ZdBhdb1aku=w+S{#mdgY* zK>(ZypzS*!{}~+qL2P_qn|(7y9s#u$`byGt5ars|maT&lhzbhK#b1gMSOFbB+MNu! zdoS3a!ja?QMXj4o&$}&Z$V&?aF;Yn1UY9#^;wq+ZcD#MMrH%R8dqQ;&m`-hK+cZab z!R(9tn70PC2o7xTWA?u%@aGq9CKW2N)Xc!VGz+jd*whqmT9euh-8Rtnjwp4jegWeD zMz3PxkE_sX+hwWcIZ77~kHOF-dRAA;ZYY$*k8~PmquYztQEi^)`~COVN6S@NpJFUb z?MBZ=r=l6(U{*B?RXvu}arc)=_W3DrI}QndHad4@zI^bRunGf~4h1@HCk$3l_zEMD zltS6K-wNI~N}<^p;a?+2Mq(f!emzC9FD4P0T<+lP=`&JC?7qEqgdcZ|nPrMn4=O(s zVbMykc`!aL{qCDOy2bfoMb5Pc<*?g520cABbvG-fz!*~ifWUsBe!~Eg%OfM<@5W%C zw%#VUqL>WfAz8utF(s*BU(JsLf$ZxN1eR9-GeWzn50v2AOpVM|-!l{YYN+vEz4$-R z>ZgBun^$UH+*hY%fn>r64Arw&+3-slX#oP0_(N3V3jW2H5rb`*zVqJ~r`&TmyJhDsB3FN= zd_#6%)Tr6%b`54)(*aI0_DdJL8&4f~O z9dtt$xs656#%(xY?`e)-ngwZ(jhGX-CIUEqH>IS*AqbW}#Ce=RsXEVxqR7h1-gV5! z17(+OFjQZI0u%DEm_~}z-@P$F_Z5{SGi>&~s&FeTvIz206H}4#cYC%&)FQb?6?cuD zd|{=$SqC20NKXezJ7lPZg}gMJMe};m9GZ!1YsxVO@W*)UFrU?MzPn2ka=Ku9t{Km) z`{wJYNA>B&@xAffaf*7c2*XZ`X(_>|oE!0~jy|KI=<7Qiy+SfHu-FG4;FflKx+48~ z8S8WRYfZd5cw@iy&%<|>^3LLeaJm(pPXJkHM>Se&iG4$PnI=&5Ko5zw#0v{-QRuXs zNV36S!YZapJDTZw&D}FmD(Rxgx{D;gDk^$@A2-nw<3aA(Bry~cgJOJhTrDkMBcF4t zGnW}Uq2%NW#&}L_ZzJ%eh*`G0g6a8j4lW$(E|@>~?h%HjKkRY68%!}9z?YEkbtL6< zyI86wTcX5|%B!{|hTSSI8!P?`=gS9kk0irk%h$ps93g1?90A|1?(R$7h?XE88$;HV zaSC*VyYara>0Tfg5eSzBC_mhQ7Fgts%;p&YibbM;ojJl7i&_eNT*m^`a0LtiO2@7s z-C8^*#na;x3R0bnV^Xcjm0ObY?nK}Lj*vTHqD!36YmU#$Qs1lCJXt1FNo zYTwi025dDTT=-Kga&TW-=>51+q*qvmw$2;O#P$Oa!n|P95+XkdsVNyTa_08oD%l{`3}kodbv(2;FBq~V6#71;nKyN8 zf%X6TvSh(!fRE4J?Dv#9umx6e4O_`<`LZfx6)o{UwPDEs(JHSsF=CD8C%ypq>{;vVem;|V{XMj%frwgfM^S9Z>%H(M)0(2Nn=W~OI ziV~b+56)i4;_V1G>aq=rotH(60~@E*e6vx*TIxbKRL>jcFK&q#74C^1x?El9q$cUD zLgb-68*+)GqVW7PP%N2~cC~wK79X*T+r){}(UXOh^rfjIel8kqPe1Ed-FS;#oW>O& z&Pk_=1`V$PsL-(S(qOeC!)7t~`#*!7&-1w6O#r2OB{qf_s5kyRQE8011R#awB&b%U z2?9Ztu4tP0%bD6$lc?tmKK`&(cCJo0Gp&&#?BzOFu7!OIhS;P!Wxg8F*?54$9NE?P zr6{cur$ar~J$)XQYr9;w0pru$qv4~X+`Jlmdlwl0__=yt4`S2Bwu_IoULZD3ywyq( zV;dQJ!=rQo**bzrU$xY0mNQtYaPH>5|MmB&ECw}bxhx7=zuatx9#1lF;k6 zi#NT`K9|6EI!^34lSxPcySzZ=40 zJo?Sx4zEzQmsN}BH6jfnWyWbLwvsXQhF8Wu><8VL+f`}Pmj{PD@>Rc4JjDg7os?C% zxYwa}ji&Pnka_*XAQV~a!lOFbxV-~+9H3>Yc}b!`cJa6F7 z+!fssI=Xji(`PG9RRxehLT%_}O;=d$(Vq1-S0A_P`4%M72iB%=IDgy&38}*SG#ae=Ah*L@(iSdR5dj$p3 z$HD=fTMre*px3$F)~s_peVf#gmxSbwjM@^GKPUhvI;?7Cf!Tn5J5U}l?os69=4P&y z8*XUVBNAGN*kyZ)3lq4srpp)wtu?9B#tw+QBK>jz>QhuUh&V!N(90p}1P)9HcExJj z>fNgHH+P5#7JQJDzFAGSO%`EY0@7#>>?yW=ytWR^R$iFLCbQ0E<( zuyyDTwpYs2G7HP9pVyo=9dCkv_F!eapp+LPvh!IwI&=))H(`ZpH<|=}$Ew2Dv86lb z1*u6#@yt$yx)HXrtd>Jz!KYKnpF*y_RW!*LcC6T=B;~>dIOvrhAxa>33_Qex&HCox z3XKB($EAtcU{vTc7V+M@+7~(M%t^*xiDeOhZ6{Tu0mZ zATW&L7S`Rz3@sI|sYjcxz(LOTd77D%mF1V7V#1X!UCPV&q8BZWfIaFA;`9nF@Z?{# zKMRmPsZ1XRvGsoY^#gsbBNr(6?{q%5tGuS8e|&rn-^u2D0vn4d$9tC9vv+$ekZyq2S7|W6fy|@eis44_nb*nv2VOJO*;gWJRO)y zx`{@pGQFnfIHh6*j--G6RlfMKonU`VlO^{TC}F78ai^z~g3ncXw|DX4#*o6(2UlhY zOZ28U2Ii@i(~ZtOEyrkio|(|)Rd$LC8Cx^^6?vylR?Z&-kX;O7mU_Us+);$=A~U9L zBALsZzJsXC_lue?S@5|lSSfHTHUJ+aTT-%BG+SobzV0(jV zfDlXtz1$5LBT3WeFzVR`Eo`)Gdj3_@Fq)JK?U6nTtTjrj&k&Vx8JSCT!9t}T{r9|( zQFs$!d)aRxqOSMQw@tOw^kSF28)E>WXsOyWbkN1{RB zRZ2QFim(}U{mOP~+G#(RQGEj({fJSi!aw|<1+RvJLfUG1+6WzTr}6y4%0ZvMHwT$m z9++KNEStv1DHUS4?3WO9Rmn4xem;P^riw{g=H3Oj-tFb?`1$$SuvU#}#y(|ZSb+**67BW%b%NUO;tp_l0qUv-Sa?KCzge?8AePD~H}&4*J=OO)wT7{c zrwxw_S0q%o3WPm9i!|u=)=`G|D0-Vpbr{aUZ%PH3FV6EFsw^lv1~^p9)Mm)3#oWU_ zEEX3r66gZOA#|MRm33aVU&*SeF1(YQuLPfeO2??$fc50EGX07pQ~6h$?yco8 zyZ7YvL5wnzwkG{u2+Dz3(9vZ7EahHmyg879voEWnCs0(LKY#Y@ZX?Df$QH^8yf2iCH)uL9u&vw-q*5;T%VRHr5rX(&mZ)(MhN1xEn-g!1H7lYf zx`zI9e&IRfM!42$k9Q!5*D$L4IkS7TPeXR#G%{^My8SHiAjtISwl&k|nbl5k(0g9k zg`pQ=fT#y(nR6(r-9j;hzyDV|+q^-n3uwr7eaVAU*eHMkVOyziLN5CaXiA|C(i2Hz z+2&kmC4)6JP6q_zyn`#-#u5H3AMhMDuMZteb5K2U$81Cb&R$(fHyuk7`=2P^6<%S2 z?1E6_-@n=d8)Qj+@&M0A{}pIw`CW3j*R(>~z2&{Vy*gSzuBNRLLAZ$rnJ-hV=2-=m za1V$#hI*uDxv4Wouw9FSh8!Bfg79cC%XZ&$j<>>PkzaJ$O_b)5TU1K~lIX;5zDP%Xs%o zJ4dsMAL?;_)%&NPK^re3+C-iV^;pErz4Vf#lxz!sJGJmuOxOXje<%$Z`T^GQ_#+vM z;J6b&5-p|DDXsbx4qaSc&f~%{fTGILz1Wgse+H_H^NqF*_V4_r1!7TQgF;91@Ps9r zd_O9-@JI;&2lD#X*7w}$>1m@Vf#*>H2Ewy7I#`3L4DeVPSUPKMTy7Rc0Vwn zHQH1Au{(Q&h&gCD&3@yyiW|ahP8}(Zc#Vg_&MG+TrRY%=Gb>H?K(sRhKCed|GgLa% zw9Lc^%`Bm96AWzs+h{FtAM0fW%VP>VJL|x#lN5rH7U?Rhl_8wvjdoXCMjSt>zi2}w zJ)|Oo{6W99=_3nzu$TbXR*)Y9Sb+4`dHz*5xT2ruP#I^|AKa-n4u+B;Q{R!(6R>E2~;)2+&JT-Rd_^&<&w$Xs_n`N-@eB2@A>>`I)Y$oM)a0^R#)x z3FGU=f=`HV;*2OLV7U9oJcx;^anihKq503mUCaN*(1)S*m3n}wqfET-}P`_RRhl+3rW2(HPE zuER`e9ks{4`~7keZ#OqLJG;30_S7%l9$iAcA>NKG&r6iCS{N3`HAMikxy8h5RQzr0ZCPG*G3SL9OXnWd=`h}Gfc1dbkS3>1_3T@Z&RzP$Y!tf1vcg#BizDBT29;mIXGik;Lq%N9C%qHicC#Io4kJI z@S;WV$-QX9>AmK`_3A2ar03EDDdjlWd6>{d=T!n`Lb+&zf&?x|1=KQB?F_Wgj+GFD zzOMsqaw^-nNk^Bk#5Gj}&kjUjryfteZjC~nxSs#14$tb1e|4~#{WLLz1_;zaONC`n zi$F1NsI2oZrLIW!DZRzi3aaZn&3=K=_rgP8-R(BOD&nn;I2;f!Mv4a}yL9SoqqUm# zG%#ws%bw^!#(b$eeyaB(-(EnRr)mk8zKFc!5sev?O>~OE3rY;O7ruz7gsPkCucZx% zBEGLc3W0OEjoWVmocOwxA=9<}^mjC|m>XF?R>LLk4fq#M9JLBR|>h0*zynf#I_+2b`T9LnWZ`4!gg`sp*77BHchH!muLF8=F*~6nv zvkI7#E(V#7YMwTQIY5ifxR@EB$OsLvl^-4+7J3(j zk?b->2hB1i3dBZGj8Glj&-%h{k*Lw_hGpEws|GZ^1)r(H59JIg@$fK;Iak)WHJ2st zz%5nG4BO)ts=TH|nY!%kSXnzHU`@rG$Jrn6)^xwhI#8`kx*v!1KRLud0=2~6H4yg5 z;ue_nIPYzuyKTi<-Jg+pjmEcNs#gHXL3)oFp=|oa6iJsuPBcLnf1b))QCwQuq>Z)sgkU_cARhJ}3jczDKrg%RW8tkU0o z^p0Sm>z7Xn2?+i{WjS`EfdZ?0>l0Ax0c2lG^~+a{_&tSe&C3529UxdHifm<2;E7CJ~Qia-SIKjAH}>e z1*dJO^V?uq%j%!Jk%T`1j&HwBa|I8`0$CBycVHK6gJPP`UF@FoK(we`b%NewIRDi~ z#ga^n*>)QB+wwQn#zbyPsel(jn-663t*p1N(#VR>J98N_+rcXSvxo{)x{@bnNChTL zpm{E-ddIj*PlTiOT^e-B@}HLDhIc1(@F zLLz9|$$eO8=OE!${K(s!F)Bf}6Kt4nF|AbxU@*mOsfsb_a+Qry8xUNTzr=KK-||K$ zy|UA!KX^y*osc8U(Z#cND4oV0aiApc85r;sUc-R4g38yhd#mK3Kx8c@M2I2Yxrzc& z{)4k*Qh;VSztqNb+2_3?E~3P%M+J`My_h12*p*ZjC8l`L5EPw={{k>L1feD%w`x#H zVAm*3gvkl7WlEDmQ^@jDas>U}gxP=kUY6L@?REQi(yM|a%I}D_iVVywy3zRtK+Y<( zC%UwW-g@7-eSwVPm#A3?O3Tut*(i~2EQDn|R9A5s=Ctdz;~e-C^jijPdrbxBP9^+@ zEFDK^^6vJwU*j`}?b3iB9`kMYt0Ds1p&p&Me*|I{to}b(>wGt0qE!Z&!MI_rUB~8s z2T;4&Kt}=O(8y7uCwUP?i#Nhe#MtC!fuRh5O^)Tf)cPGeLevz}IB^mzT_{&!87_bw zbw0sAs`1-qdmvQmfA#U(RW*nRkVwS4eQ$>0q9qgA*mJ>HO5t&7}(Jm}e} z%Mu~^3*+f7&4QXE`oUS@oF>$QNKK*`9lK+>FE3-}8=+8|m6)@DTM4c8O`Z&l=l@tb z$ACQFzl~>W*{)@~mTfP)mhENR#?sQAacA3FShg3Iw*0^Ld!GAsZ|d$kuk(9+kK=P> znTUf-`QFPq7Q7-=N**Kg_;kX9uwfWh8%fK=e$htO-&kY|8Af?0<_B!&R zT@3!b8*fW6i+L>idvfm!Sb1Tuig1a~4$YH|3=ID9gwR&avw_qHYtLUOqnu(o0I-jO zrLKluA<|!mtL{M_B=+%*VS3VxU(Y^oD8u%;ZU70W zy?onwl(}3>-07q)E-5u@dXxvYk)Kz8+V@#arh&*z>-y_iRozyX$!MoCl8P3*$ykpv zdTX1t@ph6s+6s>yJx`wtW~%+zu-SYviGujj4j}Fb#CZzX%+6<3ue}Crub#R7?%f^eNi!&orIYFxLqMM4hYF#uu}v;@YtINZ zaWZs#we!GK-bQ$WsF1}`5RYkRiV5k@M?hWZF4!>|-3D|*OyH2%J!zIFdHR@1zL_FuKsq&H+aA<#5{>McvHG? zy@2qB8Xj`l+XI*pA@_iAZ@P-eXvJn$7WVMg!F+CNYS5D;A$$o2lij8xo+#NitP{+P z%9feczuoite?~@Q>|v4D^7rOy$MffYcrqYEiGX=gF7j#v{PXpr2lNRLWY`B<^M8+` zQfvn#qYA**BL)P~5#0vwtzm%YbhFT4s!A@R z1M)T~7-Xu6mO`2oYs9fE^ep_{Hdn~AS9%q9aU37-(R>xIKp8XFdqK$z-OS1Xsd33A z^}0=3J-KYCz>K3{R1*zcX`j$jcVa1^-tKv4xmqSOq=cva zjT)tpio8f-O|PV5doFR3)C#tzkU7f;9;Pb`6SANy7{4q^=$@nc(iofVs5i7Uf1uW$ z4=&-GJy0@l>|8m6pgk#ACd2w29BYFK%4e=6Oc^X>+W&Fknar>@paQr=>zo$3_=E8v zX-KX>B-t5qZPb(DC0_H{Y1on>h6wucZo#B zx{iegLltz3YUT2u&X_z;^3XjX>++Rl7`Ny^s^ilp_~P$=1tA;`H5pX57a*Rc#qAOJ-dn=9fgH z5~h~PsZD-%FIJL$WBoXYp9aE0AYO%LMTjF2|x&ll~h~&x}&y- z$nD*% zz83qnr=8js4|iu!hXgQb^kRws1$-)sF2o$*4G!zcTHBbhQcU^hy0;92Ps`vEY;}C} zxZfxvKL~#S_~(|um#1H=O~4ZA#42^%qT9&s{@(-R-f3vRdHs477zoz;w-p1zB0wE; zDA8&PW)$!w-L|vSR9Wk_%d>RS-X-P)?*!xoC%Mh%UB{CO`^m2N2F%eWxOkmT`=s)I z%ZqVRpPNABm%8XEEwEJoVS{~UerO4?o#3M;-X=XpoH-65 zSGe*i^#yB=f}3X__1oZ23A)Ic3CY3O0{YOn2%(sE#_zaeyUGCwa5_huv5juATHWwn zfe!t9W{k^-{30U&Z zh258zwXZDbT^N!(4i^?oNfx*qZw?(9N16Ef!Zl{55Lc6Rubcw|cnO=k49_DRnsz?? zN~Y!G-f%3i+wh~M^D+~mH+E+}&U6r0!WVrmtVDanZ~38b_6*<6eANzKq?R$P6#o1p zzAAa-Mh84<-pyavq18`@EX$~&x}Ksn?Yfqb+OO;?xM(E5BkW_GtR4d%)TyFlDf>l= zYP;A!KR@r=ZPjh+IdW0peEOHyP@=ZHr2nlj?#`KS>h)WT7`FgdtmFB0qe6r2+@T8F zqy9~t-~t32jAb!WX8_^QX^5(!d?`Hx|I35ZI}h3GZNdA?0=r-CDX?Vek8gPgNd7US zV(w0`qlEKC7zLdxx*o>KsPth#gi{@R7>G+`vT;f0=dq7G`qgUlN*6%{nmnVmM32`! zqa65=(^l8@^CU#ud^Rs58Ui7woyYDU5xTrgn_7C{?ReaY*{%A0zSy3C&P{5_DC%Np zx0VluMA7PH#rF}`c6(CEyj!uHk##wh zPWG^e1m3jWAVc>ul1668o(I6sDdR-NC5pVY{W$e|Uf<>c*4DV@0Nk}9yXaaiu3`P6 z2e|YSHv?L_X6B{4z-vHYw~_gpiC=NnpmSV(Un7&6a;71}_Z^w%v1ZktGxInm(C%`N zu2t@p zBK7VZW=0K?EbarCVMdk5GMW>E5xUShn^DDill)H;!-R_=jSU}+&u6UVDfVJvE;5Wo zx)POrFcWc)X7y#;UI3T@Y8hP6OCqXLw^E`dE+bJunqr2lk~u?4Q7;o5`)A+NQmw5 zReHQ={zz$otvl>jVa@^mMI%E(v7WgDqFSCo)uX#AT7L04t#obum)?PvjB3ds@lo>Y zM?&Ls;igGomQ+i2L8+e^aVvp(MejCJadSKMnY$-WB|lE!FHM7M{QmWXAOt1y#wAEp zTC&hq5hQ)mpFP$IyNI4bNo6hIJ90D!V6((9xu@xl5%xhK3AZ@)=_81 zj@J}*;_8S)U)E;%fi_S@&+U02>&|KZv~Qm1S}D<~WAgAf*@Z=Y9F@2%qDV*G`Fm^? z5MolJsl6WXV?5*b1=##E-w=!uWby5O>&Un9!?wO2Q7`|Zrv6OjQ1xa;`%A&&@ z&ALHhRON0{0_ipUIHui}A`EC}mm>KQ@Dtzj=iBenIbJ{3X`V`wEhX#J!y^dwH@-WV zmOv>bd@Rrt>wNb``M-2xR9B~LXHa-r{jlEE#Z>du!^h8$ABOvmM17KxkZ_i|*^nwJ zbEr(TG@H$R`cMKXkD;y#&wH2oz3r;z<-|yuH=vQLuaevyK5r6*YZe!c+f6|i2X;%( z_EFf$Jutd`L@Qj2Fg9QFzXgRhm8?ji!M9F+eDQU0X^?A{s~GWaE4YzG&$(`Jox~ok zTa%^7xqD<4KzBwDEoNa^Lr|n-M3|5`np_B+v}HFVw%drs>;N%BsSuz=Zum(!Q5!FO zAGSx5q1Hy;e+9g z*8wy5g7dplIj)oY=mp_$71nV%(eCT3e@0zjMhELWM-hMH@ja|u7Br~x%(n5a#wWOx zPhathajDV0;2R_IZdr#u@wZ_RbWss;QoFl5!hA=Qyc8aBC zX5b6NLLVrLlA2s{xWs={qV=UmgfN&YBwwQ5Az`e_b!&iqaO*Zom2)|yi(=JquQtOI zZl*(Gqs`b<-IT^V252F&znMFtPd(Uu*X*kkVEI-@j1583%)h_B7QEjE-ucO@X*JWI zy&3;FO>=qA0HK5ntcwgZJG1u?A`^x+3*r+HOK07;cr`m5xCU1f3dY`M;lw#5cnCu( z1VDTm9CmdEV2+~0=t^`UJPAHyuE7QoU2v;s9aEbeOd4R^HKuxAwthyt?!&A5NmWzupr*a7KyiKjST?-K}Cj z#y@~trU0QE+Smoo4?hO!=aoH=prGInyF9%mE+{{4p=4z%L&qc%Mb%x!BiIvk^Xr{J zbG=Oqj$Hxq47W?wfjVp4CyD^6?!w>R08%p&4ACx>J3Y}{KfA?UT+lyz`v)_8LgTFwjG!a@#mk z;kl9)(LLzHR>Juft=g3t8|HrXqK?Fcf|!qR>|cRP`g3~?JXHrf=CBc)P;whWxyg9u zK$F*qFrS_GZ6IA4q_AwPZhy)gjCOfVhM(4Wv`3l19eB(&gL!?*Gu0B)%bfm=E)=Q&a_kNsu zPv8yK&DlYp+W$OKFW5sz22I?jcQ-&p0tFq*?vx6cG zKGicASf90v3s_pB9fVK4RQn&@+e#eDZNxSc(Eaog3hl;@>A)PeGO()@NFsuH5?v%P z<1heYZ1afrW#YcLe45P`F;~-r`e4qf9{Bg#R5wFaX%}^7MM{y!-0K%*6!D>=k(`rh zMdDY149pRXj#kH^V1Iu1x4AR>%0+!eBPbRcCW1n!GN3}QmJIJZ!T9wPVA%ndQ}-y< zmQ?LZ7K}r8uI+w6{l-#b5XoV~EClHjF!-zXP%R2u%^9z-=DPY zzT!U&CZ27W<4yO}3c7?i9U*uO0R%dsx2ov&m+=%G4}Kr)m%eS$*2zQlVd_c$#+$_0 z;G(UNzKz3Om- zBKLX~m%_4W#>Z_q4Bh;>t&(FBXgUfs=a(2g3=d$Z$J&aAu=LgUm;6D4-X*_e$6S<{WxCws%9(xPJX9L zl(^J9qOU(wmkgM%nQ6*l%ncj#q#SphX=_#EjT7Zq1ir8wcW{npY5oYk7G>$x>-x!& z@#-#61IBUr-E{m5J&=Za=?@2FXB)~gNzHhWvD#P2=AzMz@1DrKN8p8GMa0;I@>Zb% z{~X{J{_?caTedjf$}}$nFffb_3{EEDT+XqaiZH_`7mnIa6$=NB1S-wjN-ikw=}l`p z{t`1h0K1o>4)lnoU8x4s+^`-Ut*6FSAO-!Y=-+b22*vOYsKv`mwSY3{Jwb;?iP5x{ z+W(?hjHDEU#CIFW+=<}Pk0Y>zBe&D{h$=4!hfrBv#F!N;Dl<7}fdHW3D6)`*l&HqI zCC@-zC-T@s_OpMML<_|^7>lzW@9Pp;&^Vw4?_HEW6-|3fxT>nGuUt*`R$Fge{ZUa- z(T9Vv^Z|^x0JnEtlUXyEWTqrb>&>%Gy4B1+@I#-AEL~Z08{@rsIQEy6sy1(p$su`% z&@t`NV~GqjgPyz&(f7$iOirxl9=F_?BqpV()5vyPo?O7?0Vv95!UZC}cNI)Pj}&Qx z2w-QRivcFqEXt$?Cx~wVnix0rqQH!#hr`w@%HLHgo=1&`=ObJ?P?Os89!mBSgoU!L z;B_{(x$ktgZ1T^=QkaA^yd%n9@jS^mzF`-tWyWz`LUN7Z5cA8GC-;L}BsP9uhUwBs zH#L|Y$R!1oTF)Y1bEAq+6%&zQ^de4>{RSS{>yMubp6l$q-X8%r6HrIsMicpd_V|z7 zZIV5c6jJDotO#OIr5Bu(tcA{fKKE)4Pg9u2UDb`<b;BH+Qe79jCUQ z3hjv|&}{x8a@)a#X7%S=7i4;ITS`7twfZ60n{RIHb|-$aMXfI@3oItI#@_Jn{Oy0L2OBlSV(g>+*E<%DEwMV#xe^l`uaJ znLIATnX6w{gZNMEc&4lJf|@4N@M`~btlzd5wea)G3-Aef4rHnn-HJtrK&K#c~h?e+vl4uqOR3g`J>o5I@!d2x37`7q7z{$CW z48WFvZ~gI+zl+@jnauxA4Ph6kPxqk03Ns@7lUhH>Zf17>;w_ZGzSZf4URuF)$Yu@I z3YE34JN*9yE_|v5h!Ao2W1r@4{%olWAlu_BH|I%cLcDiKMX$@~EFwQ{+&Q05f`NZ` zf}mhy3Jn5Vv!x(nMIM+M_Ht|C0xAe{`49NGTuo`sAT@ylr}k0Sv07S?I9GR+Em~2` zDPlXevMx@A*meX7HFYU6^rd@>-<@NEd-pBMb03AeVkr9P9Kwp0GD`Y~rzoYr&Kf-R z6J;-5=RPw|_ZkCusHC#qcs_escg-Xovgdb7=(D zrTit8nXZkWQvku>lDk=uxO{KG+lx={woJDP?L{H|k_uf)5EfvPXe}j697VXwo;?OI za$o-WxzN$j_^@uQz_Yx~31)G?6%xT{FFV(Jj-)sr3NRXIq}sHx6o>ZQQ!*lv(ljw^ z)>u=N*3A%tGHY%K|$yuwbq$+ zV#(tnbK_9bvMI)vFOCAI`NL+E*Tn^L2NBg7XnXMlaRmL@E79c$$&ps{$OkC@o)B~~ zP#yuId?n8``+!JhltBaaW&Sq*;{6iS-iGb|_171XCN8bFS3sNrFtuM_L2_RkbjWGQ z;kC4f6Tl&WnGNvb>2q@*0^~mSrd?+seO>?8CTr3~+^qY=og?yu<3o_0;WvqCQI;y@;{YnX%~)uJumKg|e)F<}mSl2yT( z`i;LpsJYMss4KRH;6gxcxBs}T`-h~~!{2Sl0aX2DV}Sfb`6TcQy)M!_gpj9T_O@sl ze-a2^kW;HLEu;P7ZV%U~oZ7Rpi^dddDs3RkNJX#`{yMr)md&S~_$k+x5X;P^rS4t8 zrLIx2a~d7;6_-L(O3m-}eg$x#1_Di8z*7eBSgru{>fqp@ddtqv0U~`5nSfv2%JX{f z>-xPfsy{jH{nk{^<54bfmFOGsa(9>P&M{Mae#aala197Z2x?ZQRB(OZ4cO=XTgrx& zr|7kP{vYcLo^JUAqh{7m1`KmN4QI4tm+TnPTijPWIjbxJOy7FnY^Y&-agNTUmn-)I z{<$libgf`+Q+ZiA*s~Io$orAc78svtE<~j0W0{k5e#%55@E+}515enzP_(x}oy zNSEWC3yq_0)mjqwp*sVgfB<2_c%v@whVk zVnZaDhDwb>-G)hF(!DJp@aUk>xb#0Ne>S{Az8+pEsuzrhFKrk@@ru zzp1N@S8^{~01XHvv4;=lMq0h-SC1lLkw_uqy_)hkRno?-J^l0i(^=2MgEMqGv45^U z)2>l08x;Bbw9D|hglXpN*OQuSfarvZZE{uPXk(7#K_AvTteXV*9)I7OD`)ojT$837 zF#I4)XMh!m5{|2q2w^vNPGU<6e(5K)b1P6^ar)O3+0MDZC%BRn!oGI048z?O7zdq@ z;3%d!*80C8w?c5h1IJhcakF3315aJ(q9lU53mh0@z=SR6FG336`J1|r=RVNPi7F68 zq|$A)EfvY4ec{eN0tB;ri>sji0NmTqQ0R#|s-T={K;7Zoa?>a(FPC1uc8wH?<1gs+4U)GfTcrO95IV&`*IR|Q z5f#!wv!`|Ls0F1h=GMxB z&Nt$g5<#U$hOrM07gJ$V|Gif0S`NLXNIF-}=>zmwGOJ(VxkQ_c<36YpFy`R!Olqnc z|FAtpZ|2GdHx_-JRyPY4Z=^rbPg8HvsoG!ZaZ=PLlV)$Qv-M8iBkCB0RDsy9g0B`>6L{ij7m{MYeM4ENDfMyR5#Gce9T4nR6qT?N#&Z%r zn1Cw|BP6jCpqVts^oZ?H$UcZPSJ> z6`1ZQ4#CIw!#>p>ue=mB>!{TR*sud+kE$p@33ce{W;SD9g$7m9w>l4`(M*l`f^iyK05nH0t^n%~#32g>Cn38Aoi<;~wCPelh;ccy1xV}G zkzsf5o5m#9Y-~4-PHSrFb|q|`+1C9MW=QLAMeI;WffV{o6nf~Y(y8g-v&@@^vQLgc zzSVA)H#vkK3z;zlB(b&_U8i_Vk*!iI+L$k7G3FnRD#rPU+1~mf0$+VuBsAy+{04tx z%?cecZbmjkZ+g36_f>$cQ)Nn=6OwZ5SC0^O!=4{N#mkKc)3}&C?nQ4;f&<&plSj-M z+D1E?=)i^vnQZ~4hCL>Rh-Yb7drXHrf|!@F^eYX9G@PX<(2N88HS^dAA4}}EA>*dy z1dTHe=jW5NftBJgelMU~Bpb3#{R9O-JQRg*Ev~H!!kVmC$|5$7c^1b_IT(_I;C0s1 zCNjb*LOg0kxwNzgohsn!h1uKX)Ue${1n=rzRxC_&3j=eyV>PL3sh%Ml0%X;g?NjO& zGEH!E=gb-kW3&DFgoS~{cPXDKaj&-P&D$4|X9DDCzF|ZI4%*lcJ)6Ke9goOMg(q-F5m>y`=D=VmS?OD@->XE)Ii_l1zbl z?ns}Cgl^PH$y1B-aYL_doUqTb{6|qVZ(xRDIDqQ`Ex%1K|AdU32V5lb7;oWZL1>gq zls8uTf8CTp!{EEsWH`aYHH5DxL$$W_iwC!zwlcKulZ>a%lfjU~EQf>*k{5Hq?k_$O zSXj<@S(46nbRfA% zpBEtyc@TjE<}i09WOZ5&2uC$fHKtBue1`U}Zh*+Ygj>MMNG-%hXAOb8*j~WOYKI)A zv!y}mOkF(~BxJ~6_++sGD-^MiKAJv&29h{1QygbmQ74XulYKgg&YNiT`@IM2tCayb zcwqO~bw*%_-<39don`t&{~|}G-$Ljtpkh1h8%4(HVh<15LKqbZ7738!Q$N%x4ntJ* zV?KpKvxUO)eLGTVBwV8%`?474P>GpC!z2||vZdfkG>Q|Q(Ux=V&Ol0gWXmm)GG46# z#$c)CDCMUhPa>3JuJ7@T(b|?`cGSSePZb+Yhg@1!FY7?IXtI5qz3NB{dgHE)GhYu` z!FgrWKY|5HvRGKFB+l3`KGs}aiZ-2#lw&Y3-aWqp9ttM-O%LI6pbTURL!RXit%6#lf74=8mzB^M#RjV|JE-B%?)|8#N`6;zv17aa`uPkRu; z@qiP-Pe}+!gW0T-`FG-4Z&5qA?Ueu-+m#DX;Nh{?8m~Q<5-c2bBD%QlZ^8NmfgN-C z(Q>+3HhWc|bVi%wPf)3xJ2>C=Ye7h4W9Qa1e5h@TAed3WtDi>2h1(Qk* zhnnY~`S+Oz<2Vl+0>di#RM zH%|AV2Ku}e@mBtC$e3%nxjc$Vj!Dy4Av(C;1pGMKdw#-Sf{MpU2jk4E<12b77TD)o zO^zSck-{M-6e^qS%}TY0$1$_CVa9KjRHvpZviyXBONkI^iBK<33iK-R>p2VK&LF$= zw4$3K)UiGMH246H0pObm(zi`Lmy8l3oFQ#zE80}y?#xCih{$7`#Z^Q*sUAbr^BF?= zX3tQ*4C%Q&K1VQZuT94!#iheQ04^nzw@MN&yDX91q<~lD^1+%O13{$Eo)*ASWEWj4 zz+#1fo_cAtSus+bQU^A>*AI0a<6M@ z;{K#=>M=Q*agf94aRFQXTQLnEVwIlGs;X;wX;%KTt-eTH~Mrjj7kGOivF}- zwlvt?d7@EBL}b)RL3Rj*;#W*S&uZ8Pgl5H1+%&X^S⪼>*FTOGAALGV@fVC4EY&n z#s7=rM3K8#@#NO5oC6`~L)Z4!R^EbHUA3?xLV&)sw+*u7TIxJ8NpfT6(9zY+Bf^4@ zt7f=LAGap{AcKO4(-o)hQ-9VQJ)X^ulA&XeokC`G6YD7b%K`h3tnT#DVxZgKTCvcs z2;v?~&BsO-j;3&YukYM)Bplipr*nZxhOGC}3blI7oTV3OOC*K&SEW23{3n2n%4pa( zE(QB{pft>{wpOqeIw;kcX(W7@Xn1n^G20G`qCL~RY=kb((^}Y~U6i~7YU8+UfS4MQ zsP2@soMbS8E3}_H?0WMm;Ij;hQ{+t{8(ni@V3q6lOwsp$ZR+!N3_`T=y}jh{dYMURlJUhBE|Cm(24UlVk#n9B%d? zT`h0MUhTv$J?t?9*gdi{A8y#&qrvja5{SvSO6#I;F0AegDuGWLJ@lO48a|uJ)_(CT z1Ri%oO)Yqxa(PMO<}6CTv3`%MZ+i4SCA{g^?TCsVmf-?lKT3ibirF0u4{9yiWSJ{G zs-P9&KvDYh2l!$bBJ+qYoLGT1%HHtNjdU~%$n;l~h4U}Q(M}txFX1@0T>;&;w zLXrG6Vp<&)d>_b#N~lHPPl;=U&JyDNLor>{qwVWphLrSS;v}nf=$*IF$kx(jNyT4; zrQ&QKb#RFJ7BR3_^ooEsaj-mqCYvmP&mx5Dq~+f6AFWT(~I4 zp}`_IDucd`782&;6ZL4*S%UP2tp2jkrGTh?4$fr-k?gPbR z+wAX|tgtj;ZblByd0SI3g*w5+iF?1GwzK}>EP$jqAlr(Ii(PUKp;hFgil?p=s{?rx zpzv6_1Otkpijt@XJBB{w^6~Z<*o+AX&rFsV1YoHq&`jx+71OB*Pd`?2fI4h%gZ2ha98YM;w%v7lKBGH73#>XS{C?UEwhmF}9XEKWVLf`hA9_X*c2$kFbon+)JZN8Hqy@zbA?^fD5k<({q7sT5l0)M3eGu75!r6SwQ*CuL>7)8o2r zimrqwKs$X$R1tHQ6>jCYs0sE-cpb2LXV940jm2YS0pFR%OPJu;+^R~EuYJO8eCnsGU9S3DE_I+>>0oZSV^^2OqRUBEg^_0#0`22-gdt3oU*t<&~w_<4DG zY^ms+wm@&XfdMfINqXa^ha&xr>V3hduYl|Y1nGfL?CjzrK9#L$J088Iii=5zknE=z z3eSAc&sx?*p!o$`a`LYfEkBr`#06Y6v0$b~qGNP^MQP*sT0-*bUX3;CTxY)j6hFYp zfHa$&Iun3muY_0q9HSXX5JBqD595E<4gSdc>j5|qMNuOMPu-E8VP&Kp-U*M+c-Y~(x~B&0M`?U z0g?Y~=E8vO1H6xqk3MQOCmZMYPp`svwHY9$c3m$SCusT|=g~)~U0;LGliiGmKNB#4 z=p8_%mE_6p*Q- zY`^!y$yLzYQ27>?Kz~T59q(65!{T*cnJJXzI+?rN$MBiq$C2E_HP(pb@n85Y(ZtngcZXGOCXqho^7zco8hLm zGQXDz1WwrlS}_-6nI;S+%*wjZe8mF?4IipIu|b-M0l~j)oz~eWc_CyKy9Ap1I}8Gjisn@pVZBevIRnyD`Brh998Gb| zZdRk7u1(vNxXo=~omT~OHqGB<3LFlN5^TY#J~*0=B9}v8{QQg6N=LgVGs$Nn*9IT} ziP20Q04zA5X$#VG;N^ifo%tkfU^xZ(_z)-#9!CXziDZ?I3II+T;31_&wD_oKjn?-8 zqXMna`#iJvrIh9##|RHq}4>;&A2)bDfEAFMfdE5uqd#|5W;&#ROj^jN*wWlx9-8pyWVGJ~w1>YllK zb&i=6bqC0nl8WFCC`9?WyQO3wDzhG9D$`{y3+aV^0Rp`bfKdF`fqCuR4e^GN=UzaC zC-EX@DDfm^K%7sLMG8s}*~zE<*#8K`Ih&d|)4TH6{^CJ*>M&u9X(IRAC9Vff$VC!f zLggG>;{t6ytv?g?aPJ}LN_NsOX8rg7&AEcZ2OBUlWBKD*1DdrNDCa0Y7Ciz z=F&;U^OBf-zl&`1z5=w6>uGNx?Z3k=Cx4!Sp8)ROztW{OURj>n&8zF^8%kP}aASvm zl&hGpSrFz>1jKlhvEq?0iUVJAz0ns!5(9)6OVey133l0e#SnssSY4;hSa^_>f?eqW z9}RX+e#)@Fb*I9%Q86|unO`WfwPSPf=PJdu_J?ACVEGpO!u*e|3ka4VvVr^*A~VM* z?DM8Uw7lP&K1QiD%~h6$0t92b-`D7eSPnmG-6bV%c6udR8Rl8|mnZ4IJ{rU~yG&?p z`7DLB-J)!)JZ?o@eDWf5&*w4Teqn5NJ_4)*e5EfR!5ima!76Ohm8bEJ9x^Uvm4!0b z=ym~Fx&Wl2hUjNuEyo-1h1@v7gnS0A5r^+N|-h+6HeEYv2OabzV4S~*Hqz|Q`$_x zOux7Dq)6=2o?JP?H%l$t($+%AsNK<2Srweaq80L*D&<9bq0tmA6@MRF($mV%7y&02 z=P-_?kopn?i1T3(8rNuF??ZxrFweq3pV?D{0kl&f0r4-Zz2=||UQWH-QQu3?%Ud~A zV2j7Ka2w4+p~IgHg?3!1sx}l}P8qy%{EPe;TTL^6ox<`Hu)<6W2S10*uU9Pv{GGrL z21q`{HpzUP1+!|SSo;uml(|Uh5DbTJ6k&nx8@~PH*?oUrR?*_ zlE$OYj>Annu4;FumA1S_xnr!CzbsulzgJ!Q;DLio|I-=yJ26L8K^<@1mse*3;jS#nB^muKgUD~hFuPxu{dAka_0Vio=x_}`GLFBMDOCKzabcYeA4mu ze{h>tB^B8P;4%O0(x|oc*WIg34;)nghfQq_uLz?-^!(uY9;xf;7$Ly{F#`5bmiJx9$QxgzK5zx zs?M|evf!Inx^y?qWoZ}NTeF-b34|Y~&5HNDX5g@{M&+mu^20$oG{MGG9qicr+E#MH z_HUo{(-56Fbboft=wgi-Z$wcYThl4-n~=lD|EkB(BA3{kc5dTV*dgoBbj&07u`p&oK#3E5iQ#y*B`S zoeZg!A)T{e1LO$naE)fBN#GTIo$=`R1}wwUE3@R{J}gO944EB4^P8GMUr-!CoRCf1 zX5yz}Xl#%awT!pOSaPQoTn&^nvd?D8f31cxgHPn@gB#Iv4|hN^5W>9h5FD8eB)+?aC1bC zYjJf>KMit2_it)oK9Ly#_`ckvnb|* zZdqngdqt~~$0_F;(t0e-*+nrJ9`Gb<38hq@Z+3*N3pEa%Ol6Cv zKAA2U?Jz*{Kq;DrEA}7&qF&4on{&|G4$&%q*SB%(jO&C^hW%YX2ghO{XT@&Gm2rlUa%}H?w7)?r~>yXk^xZE{V~_WzmM$V*YfAH>u5&7FC>P)qJ)_%Wcf1dK(eCUp&>#gq zt+21JjYy7Lb*U!(-CVLA9(bRF91}KhfR7BS$)UEenNQiLD_{VX3RT-m{fI{azvjKI zygwO(kGYXlX@2zn#d{Ai4o!_js)I{rTDa7yAp zD9DE&QCqt#Xx@up+6Vh~2O7-OHg72W_*ZRVq#)?Tu%yRcmu!prQ#*f|O>EHtW5wYwQTsJ9n=VG2Vm8cHr5yDn zXQUJ8^O1A5NQYlfjYA;xxI$n=&s3NmU`;v6Uam3ZF1=)07fLqw-%Z%rnDg2_G7MxTU*+g zPRrE`&Le_OOgc9r6NThR+N22N;IYol42MrMMbFSRhx*J^&)d^E5NZWjap%p&dJ30fWktWZ5YXw|kXB164Ndl6%B&Y#UA! z4%k-h_B8@Ri*e!OJ-_0`2@|rLglsl51zd#ds76A_sW$@;*ewjHRV*bHy>uB9f3sYp zE^aCrW`De4qcbev8aHDgPwS{9HY{v1^`XVZ5F=2=3GR@*TJGs=aY8Ap+vo~FpaN#Z zWH9+ekzNxE9(SG|LQ;?y^2s(R8IcP=5_?xVVo+eu-EiSmwyY?+SJJ*+rJz3Ic$HR0 zG{0izxql+-;|tpi3O#nyKLu)KeHOUi_Ou8LpDB5KD9kg1Je1qQ#&n zr*KLo?yc8XSoDX$u*7`Zgs#7U@q|qTdu53L&7D{pckKyT9r}1bSULB$A_+)>^HpXD z(z^A!^CMj_L^jad%C1y?``+iVvZ6fMng{q1v^8c3t;<3z4%haF*$Iwp@{lo2XKlY7 zbTLE|&`YApo*UAavQ-oAjB)zV*``?=Y7vECgWa!WBL;A*ZEM?D7OaVfiIE7c^>&_@ z%ieRoLxy1hOVEkp{f~FV#ex0zW zV>1>Cj=e{KzU>e;q)}GRQ|S;!K^QUNs=BnZ@qa`F$ouu*C>;=EAj`NWFxXA-R`?Ez zE_>)a2ASmkWTm;mwk`HOQg&o)+TAEB;^MmUTO!LgLCTai6*DPxVK>qL2rQT9Sz=`d((k?O^;6g49J$K zbB5)6N9;?8^`MJhT#qjBf8(jU$Gz{TkpYH!+GH=821pphda)19jX6SiLns)j7m-JS z(nvKwYWpT~+ZMc8L!*AWF<^4tS8k~P!mOe*#ydl0UZJHJ&0K(1cqyera^}r>2S@%m zb?3>2#CQ3qiNg9z2cM=eFbH(&9^;_o&Q_B%h>A20>5Em;P{JD#f)BO1jjA8C2#*b@ zk{ePu!i)kiJEYVwKnwE}qO_0dS(OxsIU@C3bG`t_!z}KaH0e04^29+gH&7Rc>SzQi zJnmuJ$6G=!oR+MRuBmEcDQa^`>%)=r1~qfX0$yaFF!T{VKLhvS#) zr@^&;_2)Npns;`z$wHtP3RGwB`tHq?4E)x^2Y9&pbD~LnK$AF%o?_5)j%gRS;O(LG61(cr% zg8CmvXBAM@76#!%cXtVg1_9~r5-I8KlJ1u72I=lRba!_*NOyxssUUH;_k}0k&fa_d zYyO#UI*r|I)I)7pz}$4_bQ*5aS%iOGSk58@K%kYupW6SLY$ZsC|DizB%mMS)PcC5Y zD5R}x7h+8+weD|?`?!b|^UH(wjf`*L-c$-*Q726cnzFXeS}@*}f`aLvLXzIiCuQ6K zTw-UG0pc@IS>PFF0X>4a2U7KJ*Bj`Fqzu+jZ;4jhWIB2G9Q}h$a4=9RRDeRrUi=-u ztU2Sa-c$tuAH{`&17!ucN|VjKe0+e>B{@W#n<1EQ*V@pPgYwwLam9FIogfAqsic1ftuvcGHe|;*bS%`BF zX#Cet;&}>ar;drn4v#}NWnCNm?D>>-KK*gs07Aqf%!~t1G}V3F?H=ffyCDu=V$OP$ zQU*9ge;Q|n2Q7_4Rd{CJGJP0+cW<69=kh$_BfpRxG%)^UZ&WP11BOqj@x9}eOsU8V zCp76l_xHF21X2Yo3e3EJxdFb#ck9B)Xgm;S4|yub@J?Oc4KHmHe5{>qAUvaf66P%1 z6?`FOU}Ab~=T`DC=OCzWkuIW+_r_YV*;H*(-EL=Je@M( zylEu@7qhujf7sjt@79*8Qd!1li?HwM^OnWNi%gwXR=Q62P^Tiu;Pt>?ewE061pb6l z(?&dhl+s?mbJ`=XHfi5#)kwAp*TDlOZ2)#;#ty{qWLC_iU_)p&o3dC&rR!$|t1vZo zSWa3smh-J2<3E+BTu8^Ai03?({*vfRT)uc9l(Dk-nPyF=@6gZyYAp*uvP)$pboMw_}*}A$Ev-iC0#TLgf}58;2JAbKN?IgGX9>-W<(@ zDKR4^Zk8d2XrCrUu*Fnf()(5D-(*LBKzgVeG%@FZEjfXIp6@+;!&8}#VVi$rR5tJf zSz(?#@@{Ty=(42!kL-d`XHCZzXx}$A_80`-9l4a%<*@o9G6pa{`FDLh2YrF>JIIqe zQXrfkq916+A{Zvft4!PV3Ohv9p`k5dB?b|IOHjX1aI~6#%%_jw5TGT4Ni=dRb5|(7t#XBL`qROe zF3-d?r+LB0(!x;{;yLxSGIA&CSADlA$A|)&@6;BR$V876|5CJhd_kJ;3X7Nhc1U0!qRlEoh7}Uyn-p4(v1s z$E`uNRK=H?)W(lpaGmwmy}ZBu@%wK<$4PMG3xP^?an7yr_?@rI{j5K^un%zg0hpVB zf6_h?r6IJP7=1VUdhA{1b7t24BU;hF*$j8#T}DE_o&{=Kans=X9J>}H+^3%~N=1l? zMx%5ixYaWo%Na^$&2Mt!QgPas6-ia8=TGg!n?peknYUczs*pVN{0z1Lgb!}c&I9~{ z6R+7LL5NUcB@Il2Myy(8zMyO+*C@#{d!A{stMVLYdQ|~`Yb*@GK**OuYD?`@%x66; zPMX7MXd(`gTBgZi6E@;lL^NYK`pU1pdVCVxtuYPkG$Au@V{!CIKoRonxtO1EwCJ9Lo3 z%PP95%2B`7qlAq>Q4B#OQG5GP{bK2eo12)<0VQ~U725f z4LKtS1eF-at)4o4bU$A*tQW`o6_R{4cY6;6z>xb=7l0MKq=kIR4QcK5m~>ZLNixV+ z=Ot%xGevt&OEjt}!F^jDQ%{5A&JsDwL{#Nl5v`+KCj3X`sH18Irb-D67f_7+-8wq0oMXQf2LxYwHffolBmC` zEnQu#!W*dh0HC>mp1F_*Lmg7qSJS9dZPN7jcf8dg1#CTI<(3!Bw&K&T)?Pa+VI%AX z8#9aY7-I`I>7SScG*vb@<5J4|F>GrTh7yQ~mPlX#AYN2NWddCcRd*ko;kH04RtyY0 zr07sD43_oetSJb|Qv+U{(LONKCX^B!ds0zLDC1_a>blK|vM-c&G3S2H8XFW3aabgg zcfhEbxpUmD zj>7K^^bC;;dhS}-*2oUyLgE~$CJ3~OvYBScb5P9f^u7dXJgQv?peGQU?MIaRPOtY@ zU8z?ud|$c(Y$yuOm=fi30RO*%Ygk048^vk|n?sigUvT7W!LdX62$hzL(xSrZS+5n~ zH{Foav8J`Ku)?wWNGj^Vm(hc)Xx>nuqxTuk4%a-GQ8FPD#7J?&Bn7f=QUX^4)|stI zRJxqz(i{&x0yayiKQMZq&CRNJVJ8V=rIW^o`a^x>c7b|n_nnIeKrDUciztIVRN=FG z8{0=fERIu|vHd7u4QAndwV4*fEg-HYC|=>^m}#b%@)7oM6oV_C`MmzeI1~*`!JI2A z{FBoLdyb>DW>{;hWRf~!c>FK@3hZ_b`jnE}2l`28z!8>?iB7?cZm#{y8%SnAPb1q= zvRk+70a!y-LomK>=JT?5NfF~2l%pH=nqalxXERP6_sJK1H{hjzwM8-YdFcT4~0 z(dH?9=arYlEo|l%igAjNT(Z^(41KT~a(b)Ip?3cQ%XP{EZqCZjY1k5GSuAsGql@Z$ z9>2M*6y%+TK8e4z0!FL8RP1z$hp$nGT3m1MaTtoxbC5rVh;|6E~5X@*=M)j)Ar8g8W^w}gaJjFhUOClW?Yo=3jtOP5P z?GEI~e35~FU)#5;f~zF&g+2%6*zep90N(pnx+i#*+G;G9oK!Oji$ z^dkgGUi-WG2Kgcd{ch_x0pfvg*jC^6vglzh?QmFJ=^kCRz9nGn+ABZnZ1@R_+>CE&$n`{}3c{z}QO?gM!dV6c_`Q^+rn?e&*a9v0D zQ`x2@-nIhyyYKLC5o^|e?_Xtoi76*m{Ts`aVg$|RC&s}k&XpDFBJ8gxJh&qWe0p?c zo8(W2)bpz{?J-S)YISb13K@%xd|%Zi;##VH7dky@xj9f=xwD{_yBq}Arh(aL*`{ex zpYT5I+}s?DnrjPt-BOo6BV&r8z5~L$KyNE>DIt8R{ji_>zDu}m7T8j2rvi7j<34&k zq|*{8$vRkjAXPCw4j6#{F~>_Vr|=a!ipaEe47I4t8FBGddyo%CO(4F3M`5z62RFPE z+q$kK{JhvIvixO2?>@p0&>PFu3srqBqU9+?V13Ht1EGJWU)ZmOt!Q#}Tw{#$n3*Ld z*HW*YTP;rA-)+D?h$eIxw_iL77`FKoJaBFywx{{Dtxlx~ZpQgj3EfHIPMO&7;ddN5 z7CeIp*>J^$XfaJiflS(GC*JSfic?YNbAq*gAV1vZ$fgSri!$S9BsWO|JC*Y$Dw5;m z3d?522OX~bmLE97vT}Jmbcgt+G|v6Ucsgv7*%^N_b&51rq0uSAf-cKS5d*3+_s(ju`OZXqwSkc&z8nK zy0PsCWoc{yorZ3{KQ+(+-}z;;D+dg5xTB)I(r8~!iAe9U_Xz##J-;i;&v+D~C6!E; z9prPrpCp#N=2`$~NUMSqBh`yxqnmP}+Ioz_)z)7@0v5(|2DLnds6a_nkf$6gWNZd? z9Nqd8tVzhUZL^LTM*BS0_jwZeW);5EX`>k4@H2H;wQ$ao;iv9Th)PfKRZ z5;vfQ0m_CBaZ*dD_D1Bnt$oG?X`QF{{If92eWoe*#p)^k;Z{}175Wa3NmQ3ta0Uor zY=o$FO-_EzI{i|0<7Hk}QR;BgZ~XY{_mmpV*Buw?-Afn`>5b7SF14s430x!++7yn#RTjTU4IZUJ`$ZDr|}Jx0_#}72mFo&RT^K zJ{k(m>C@W$J+qM64$9JJllG*x<+ytb3uAsUP?~LXR#pzk$(}uN>|KSQxTXH#W+nA_ zSdlaC@a`S~fFA40nnQZ=al*o;d1bS0%1f>J&<%>Gl=U4ZI8&}Gzr-HuLCw&98HeK*gWfO?@QN7cKm%Qj zDYV~i*rai*mhy#_sy0**LS%&}%y7v@)F{YNvbTYB6_8Lf z8jBeh1HPoeY4YlkEYQCD5kv~hD_tCsgzvSe~-4`WXGp&Q1otDf>RG%v`Ek)GQ^%Kk^5`*e`Z?1Vp7oW%3lO-Re@u561@$xa4e zi;~JV`(_GU6w-QCk_ij~#d3Mu`Pz!_H3#_&K9YH4KTZL`8FxAUfb+Lh;c{9jEv_np z3b^~dI|&Ie12MG5mL?Va94vOFZkX~toBBFHxoGPkEcEQdM$Ups>uKBJ-?S~HWvI9+_r&oB z63cRkrJr~wokcI-*#v}OHn~#d`3ano7qk3ZYn3u)Y6GU27y4Ft3{Zm`k+HdYF5Dxm z4ii3blVr~jwS%DzmJ3Nm#VM+yX{49B&KfdtcU@Go8FencKzaX7_h%yCVJv6!^EA(n zBYJqp+)$S!4-Z;jZ^wQDn(e@vCr#~_njj>Tx~lTtuRA_uTxhtn1PxHEnoXZhv9!ro z7+Q=eXJNlwP@5bugAZ!Okzd@Ny=XOF7!_Ez&ZF|IsjPi9jnpcsleHDoAkojuG}Z!? z8Y3QGgh79I`RkBUmQQ_zWoFyFPzIhQZD-Bc``o*l;k=%YOk)Qedk~?*8~VSvm0K@$fbN!0h?mAFD~o9Fcf=#um3ZTN zvr)mSt7|lBhX;+E6;?Q58HO&C^hfxB<*CcUS@-w1x?j6Qm#+MXC`cwg6L1DHe5J_- zisg$&v*QZ5aUAj?t0--jL{}0a=OGFJCiXXhnJMnOaLgqG@xwrb`S8KoB*@59!<1b#v7Rzr;pvwwM|87g2re9p^0!^W~+OBA^%2Z+7- zeY9@R7O@Q!a=`jV(GWV#W$d06l3UI=<~2YtN@T_#NG5e-$0#wzKpk82i@4ehQRPF_ zQ&6VaZv{=bHby}9yegpxtp`_QQ4Scou{fJUj8w786PaY4M7IZc-EgGIha74ycCh0u z1nTU0_zE`6_ki*6x$FvQ716EE1duhv%RH7xqakWlyira z^3P1b*3(w{#Gw&F(;^x#_!3o;tn)D-0V#gp9f}R^m@Cr7-2SpIST|AtyjI8nVG?@3TJfpfEAL|1*G%AJtcF}US7>|e$GtD^+hdla9QuIR3<)q zXEBE?T@1|*ik~(4cq&mLknc8KB;1x-7mH=4iN!Y7Hl(mRanwXVmCQ-9&R&yzY}z>` zYWdXIUD76jM-4uM2cLlxB8<|;sHh=*-9Xpvnlom0Ri}USfi-PVojXyyG}Xv`me%c( zH}b#@;8Hs4@dU7u3ebc?GF3O8dZ|aRudjf;34!GR%>*I_3?KsDcngn_MA1Sl0g~{;a9jVWb{Do*RLwd83hLiW=+8-Ji==Xx+Ch+^=Hn=~M3BzE96%t>Zcng8?*aT0h8u{dS?yg-Mkf+yDs-Awi)KsB|blqQr> zEMxvkswG70=4yABqBO+f8JC89{=w@Xah1a-A9ElW0RxbTynTGSQjw1a_Z*vb05?94 zLq+cb^|u2Rtezq=J8^Vm`j`XGFl$IJ;~)E|TmaAjXnUfHy^*5KD##xK(TT9?X|s*S zLW~tzDcXo%wV6R=Ma}6it0yB&$mPGPUG8gPOt6b!9X~-cBiHTvi)<8nz6i%lJFZ5M0y@k;0bQOm?04 z%(ytDcwKH{7l_QOja@J`Zh-p%PU9Sb2NgW##t0zTv@PN8^1BT*I847cjY%3WPHMqe z$X)Fru6C<=Nsozt)U*CnY=Hv71KfZFogV$YbvFo+Eh>;@wG7pM_#Cz6qpB}5n$7)Z zA?+>`eSlc6G7yvjbdEt@E4uLH+=@DVJ zVND45IV}@DSL|4B-Nh}1fDApQa{o@6y_9(Ty60~V4Fgb90@8*4t`s*T0lD65I|o8) zMS(ZUfaha@5(?|Pc+~=P%wXKMph_F+10D{>pIkT3bmKzo8u`#GBFCL?X!MBvZpYVG zSHO0}kq@R}mrmYP4bC{RUVXLAzS~UwD{NCxLJND03Rxm5b^O!ZYU>nVLLQPj3ZjjI zwJ(@%vYCSuEu>h`Xl|kbun^omcI{l_bPubw%Y>Jc@!2WHfs-EJTc3P>#$=?r-zhA( zuj3$T#~`L&$^POR5;?+4kLz@LUE5ew(~m1=w~5Y z{oY9sJa2}pNXDECiX0mGwhWOC-Olx=5R9V`_7~9C2*G44Au!F*b&G6wAi!3sT_*qO zAn>%ha;x{K!~3Jqj=7qv`Q^ap)z>C(TRbj&>D8K@*t+1mUq%lQ{77RhGamjziIQ~Z zshv>m&V1vm4eSoMwDDv2*PJ`SIFY)%!kPsDp@mOlVi5`ku*%#o4 zj(h$lPm6PPWy^hFAQwmO)~Vl@1CZbp|NeCzqED!^3u@S<4FqOceU$bi3$!rZnL$kG zU8!oU)oNnHJ9~kq0*I3OaTn8SKFF37ca7l-M!#qZ#{z|2pYfn}F$Wk1=tATI+=M zku6kt&(Qu=9cb)gaL4uobpyFrKm^sSU10}7@~71goA}K?De%Qvg+qRs5K$gp3~s|F zoEu17716)1e zd^?rCywcU~vd53N9rtvqDtPVQBfLH>)D?efaNzs5Wh?;(1 z)vCo%z(fnKLIf2N4hiKeitELTnL;V7R-GBKFt8|;U_y|Elrbi@A)5I15KI!Bg_H7+5FB$JGF^Pg~+i4$#f#L@AgXzrOwJ}KdHVx z3ZLjfHusMQo6c|HN4y^sT6RKGNl#83+dpjJKA#C!_UKIfN#Z@gLSbv={d^mLEMFoqZ`eCEqK49(iW1H z@JO|(U*q(SL$&be$*%MtBt_EohtFcnh;pEg+Qm&HNQ8hnQ=FgTh$lN(E6;@^T30gY2))w2xn4w@B%Avp)=kFecT$U=~3hR9Nd4&u}q!V1?*KLTg14m_q_& zAV7r>Swzt#L+Q=5!1{c1QcX{K%w|0?=4aU8XdqNUZtC-NZ-u$o*+OKxxwDfePkSH6 zSKC@+liF6o!&F+%cW>mMd8?>dKiS85iN0Cms;z9=ptK$I zN62vr(8S-BlAabWGFZa00lU)1-d>D0jlX>ML8Qq}?ZtBu7oZ_wWc+1BZsI+ z*v!XDAIKs5Fa)QmOp3p$nhD~j^r0-FSd-VSgoV*5ZOY}xF7>?VQf@Pje=I|_T8DgY z-3SegR7g>wjN~!l;XFyVPAq;BdsLC%JmG3Sj~dsRgJ-x^OZr0h(0JZ5^d!Bm+xqGArpi-%gMx%uUusivBkCD*=E|H+{>91vh_N=x~7s#1t>;MR5*AuDhuFaHe7 zYUd!W@}FZxVn8_9>~f~ag3tEjFs~6_Mrt9m8`~XwIt&1Asxw)BtaRtKr!{KT#nF5m z8VBme{wH4xKOQClyV<5baN%;23A|hM)KhIU|3XfdA^>?WkzYLVDmIw{rayHFD%29&BY%26Yu}T z;!e9{uO%Pr8*OqD1ldj$eDXy$RSG`M085e2vzPc;v>2ka-(x8}PRN$m_HAK$EqiK|$NnAEo?1xGr@r!XsZfd%55{Tc07SAo(grgn8he&)~w-J0( zvqGK}w&2d+*8#*;oQ&Jm`IXHm7_QiHJHRgaT?JXCKdMT0jmSxa0EyN{8Q0MOsOzc@ zliSKc@=uU{@yj!pCi|h8*IZMn*g{gHib`tgZT0GDbALKdB}XdqxrqV=7^@?o#V^?% zJWQ^ipM3xlzKppj-cwp4U9}#t$LLTt@tp;-64t_b{y+N>*zCR%44p?t^W}ZR18oMd z63+dfZfwp12@R^neIbESD`Ey(Q?3w%jT6G0l3FLJf+gYY|(6h zvxv`|{e_0qQHVHjmo#F0LaL&#tTIwgGxV3n8$aI*F%2b>(A$hh5Ae;H9m`Iy(l*zo zoS1`Lf>zS@90B$ocZNKnL`eix+QVO8X@e0$tf%qXUyK@kz}7ZW&5^PR{#BIl(dhCm zSmX~(<;azhg|l)I!%+1wA@Gt0B_9mI0ZzNWq1wo;`DQt@Co!OI1pPI?u1abb;JDZShuE=$tP9ehf%8vGt-rM<(`+w1Qb zgD27gavc_MctvddyUG4n*)ciHAzpyRSk zjP4stK_NXMbk+&N#R6revt@cys3$>{Mmr3YkT`)JKUo~W>AP_|4G-M~=-O4mAzS`z zmO%9hePA|!8a{BkRI0`mZXyqR>8Ct?4za8;mqYi+=V2a>K$HFZ@(Q$OGlBh@pZoc9 zM{k1bS;Ie+=G#p;e@QjfwArib$rK*O_LX(WYrDf;r!}_BbtyVd` z(89>6VnD3xBTzg>OWha;b5C5aAAOw?MDf)(q@|S3bQ$%t72Z%|b>Tk*2R6?0jVsoGMKlZ(N zHF`N@oEmPp6hbedcz{IXXc!w*f;YF7}?gn z>_`RvKf5LXS%G-|`sh~h?;-0cw)bX)1lC|AM>gql1o>3x#(;-R?E2Mei7uG(Yr^JSLj)uLVFWapg4jKbLEOTP#Y@%*{hPk_U zhd*;tKOZq;v-?vLkBb7e+rgT8Bi|BSt0+&4FV6@LR zLKKG-OFJfNiX!M*j5*f_}%n%N@)2 zOJ|0PVToo1VYS)0hmgn8yhu4yUQ%FrTdPr7+xxmM8ET}|ndJS1%ui%8aTdQE8^-PB zWG6{7`d2*MDLC>y7E7pqJ)Bs%g$%cw=nWECqEQO?3i{CAgK93w__o#2TWa#5Hv0c9 ztBISI-hlQF-cVKuJi7q1tWuP-zcnJ;)oZW~#X?<;Nem(yvI;nvwu55Z3t8kuiUwzO zS@*rTeTE(aGK0C%!eIKjj;LjOfVi)K^w5C3_%Ktk!kkG=!V9T2>T${df=5%)d*!4+ z#*m*s_atUqW)3OU*TKoang2QAJH%KdeQGmBaHI_|tYye2C`6PMuk*fPibxo17rPp` zkHFF=8EWraxQbh^WBZ$<5RcXn>D^_ zYZXPHistCJqX6n@P-Nt|aOFqsja+6jR&*xI?t-x=v_Z0ON?!n3BeB!VQo0G-`xM6c zl&h+lG&E$b)%w5K__ZZ0G22a(CE)4@)EP9v#eH7w-jINy^d}y6&4IuCXWa5Cr6;5Ixc!nVr0R?A78{Sl8X-1{x z25cz+{g`VQM!|k!&Je{)6DtECuJsufY*S2sGl~eCWxq-s!_KRj(l+qG^M`tIg1R!U zi2;m)uCc{h+Qw{iKrs_BD*Pcy_LWWt0)oyK^hrM(5Nf?JPcirM^Q+m%@3hW;rp&XC z#Ote4RAuwUS_z1M#9vP?#l&5H66rfK3;Rj;lTID5El1=@5Xr?r|MDAAcJ%!8KMf7@ zXi#x#dVUH3X<}gy^WXghN}1tgMpS(B!x;JXkv>rGJues)SCebf7wzeYp6T5WYDO)c?HEz- zxLNHot*da+4>@!}Wbhp6{-*8(StS2Mq4=QXR(vRtnY2&jZpED?#y3B+xKaueEjB6P zYK=gyLPG1W^^$T{Ppl=w?Z>a&oTPNQRmo5}pO@(aS4)7x0G#Z0)Js46FO6dqR7Hzx zK1XOx@abpZrUFrs@qV$WCkb#^91!UT0>a?4_SAedn64QM4r1u)j_sB&7Ccx_n^*4o zu_8%b(TZikFOgdKNVe$aDmVH)Pv`G(#vzX&aEN{DWDo?zKgSQ01bTyk_ehsYUhdM_ z4*EDQE{-);U#&o$CU3&e5({_`Qq3IWP^*ytMp)Ff1!u z;$KEXdwBKAMk$UFL@Z6F)pt(*?*@*kDT z5Ps=`D+h6iOgfQ?`5F-?I#*cj$iXhAE{u>((Cxto(0)ILxjE$KUAQKhcC#WkR~as#vPt z{5dACcUVBgHAM(7#EJc&-80o3&ohE7I{B5P7(VkC_#+rOrZAl^%9bOE^2j@pi!X~j zmD>&En)~%>Av}L3gz!M;7ZgnZ{ba-HMNUo*)VH?VWMp)E7EXF{{;L3zPpdp0VdV7O zOSh|cUOc2)#rO66LpYVXvh_}d20CVcT>UI@&a^i?Rh=DG9oA%&ar<%r;B{XUK+cZWe7xrkLlp&g4l_jsIqB3U!Sg-)4IQ_ikCLNUwsA%I zG4<;f&e(`rHp&%7xJ1j&^>4bQaUWrT_5qhJ%G}tsp)2)h6lU!z2FR=*_%`5aD0O*- zgpQb5@u7{4LXc2cQbhl$0IKK%@>)axI-(L_SiW@Uq&ioR))EX65{*tFFvLhSv*8%F zPdJ}!FqtDz0*d!tDk(9o4%GCU=$l#Ap=p<#7xBH%X6UeD7NR{Y9c&x`XtB-Mg5NOH zqR0SwaM9*^j$i+tI8^F%r=^8l8IZt9)yvh8WsZj>cTHcHw)Vh27JTaFaa%#Q{_H-JJaK0mgW%Cyj5m}8duiX{a zlW)<)G3`}huIqUMkx-IzgzW^6k)m0Ry{g@fNb zxcJY{!~TA#no%OqrhV(*)A^zsPXKzL#5zR1EmTbWi*FDpqywIghh8g=gLip5FF!mS z++caA(BPz(*im5!KcOP3){b%c{c6n1SX(vp_jPywHUE)(k6M!}Y7}e^t>JH`ln`HA zlK%%dkWgSHBqHLC|73&bjiTD2WuTiNuqD6!eE$`eRMdB8d@lI8%+EXeC!YM z*o36YPMnqWHjZw?o2+-yAn6ZAHzf{WR+}$;~A*+jawNpkk`fW zcg%_AoXW>S_4%p{)slp&qUy-jSNv^E!z~d9KQ}9Cx=a79$h2mVBKyN@U7UKv!Xs2@ zCI6kG>&p|4$y`=BlibR~iM)Gl(UwN+fZ0^DoGbLt$*^KN)ye6ar?aB>bny{5|08 z3i4>@`vTnf`3mdA;QbfPk&&y>8O}csdFhODn+3Aj0*&5*%;|kp{EJz|4!9f4rqrV5 zjEkS#hLJ3O)nT$5o5x9vGVIY^&ae>KuiSA`EF6Np(Y~=W|UrESgrC;B`#(-!Jv|DxGTBdm#3)lmmS$RLDEs zce#DN6W#g7f%CZ2E!oW6gmXeDB6&q|L9jAwP>S(EAsD{)(X&sG`RNBd^wc+$SwW~_ef!cDPeho8mm&NX zz<#CfB+5vAA2TtJ0pv#k-F}GkL5#f*4AO?ud zfHI)+3@rIl4_jA!KTw~tSo}=>Q!AqlrO^zxUu$xa&h!FSCoOaeN&OaQJ5cSQkSmQL zA!FeO`8|2WKB|%$RSv5h3k-~Qv72UUrbT%4o3J+wY#bmy#4-Cu4)bPvNnG3?2~oKi zDw68D(HWsBCwRJd4hdUp&M_qH!Ict8_2>BIS1lKyixBA>j8lP*<^V4N;#kbHiI|`3 z^X_>t%Xd)&y81TN;{3GtRA-2|<9CJ{2fKG-lO$y{(Y2|6OFe7v+}ikx^7-CKueOvH zA|BTL1}p-ZziFo=6G;?)e=SKU^WcSC&p*ZHz{mi>;H|D{&= z_aO&F8p%8yTY5N^%3$HguQK(oY->}V@6!4ypxPsPS)YLeC%r-K;iGEZmr*9%?_RCi z)PYUoPrc^Os5(3%JdF)Z-|*%AG;!fBU)lmMw`*b!2 zzNQWNqW&lJJytl-d^Ls>fo-ij*a7^E35zpPSf;>)kuXu7^SL*JhJ@L%tE7!sD&eUu zVfd|_9Mq*&TXqxQ+EzY^2@RnFbomvm#P{k{$x%%xBtDUQS2hXr zfno&^S$+%0-ma#B*z(V|MgOygQ`aBvqEb5%HmQLpPqBLsqgV~=z0lj8j$-fbid z_qpiH=8z5X$p+BHRp(Z0-yC9CrjF$ezF z5u0#AaM4kWrP0MlJ~|kcE%wuHkHOYeBlIMVhdjxD`^6o{23(y1iBppF^<1;}>9TQF z=|16ul;y)&S>8W0@{>O=={^S-L=i#G@#YS^F0t4eEH+-t1_=ZJU{tB8paqm2A{lO) z!<##op#jst#I?No<7=#LKv{oVzNYCF$ZL@7#LOBDC4R{#CPGX{fVMmhqw2KQI*5BvSaDq>F6qr}Nc=|mJ^pW{-y%pqHhCWN zy&0YpV0+;t5~;^vSV9<1crZR5X}U9k9yVAofHi_qZd>{A{KN8Nt7ul0WEtqE84f+Q zrql0z=%E*!t8Z9=hVyZlD)M|2k8EF9XdU_h!CzV5l{w2U6cbn@H=&=Pm*@v)2CxhH z8nS#YbZ2BfjD?ln4WUQVE3W$3^rf+b2Hi#a1Cy3mN-332b| zPset>b9B_1c<-WOb{cZDT(HTaX6c`~8u)t019_D9lj_iN*s^7@ofH~WU#j>`A7bvJ z1iDH-EEHl7S+_{YXITJU80p!3?7)aO_I2K)05_~OoU<#P)cmoLo2W9|weNu%9rtp8 zM;*n#9-fbAW_A_`{WQ#Qf3zVUN!>1_FI%22=^}}Gb%J6Hvx&XbTO4eSuu5{)Pj{Tr z1>wa(@zjNxZaR(U zQ|;brdvtAY5l@zmq$11P7(K4iZF;Lwku$9jsT@?b+OB zjLBp1(H%5*c$}biqZKRMihE69CIKpJq6eafSMIA93rvYL_{(;|SU)j`QMCn_YD0BI z>q-JAikcpZI#=YCJkcp1CP?S95R0B=eAK3wKY?h}JQQc6sM;$IjeQwkVIq*Y7ONaupt%w{en6Kin&2UAn^-6Q3n-fP2{% zyjmULZiwJyYDkDNV5c?mc;LaSpbtNW3?fe3`Kq6NSll+o)SvntJDvw(20(BGEru4$ z9AjMfbVHLh8kIn>0VhAa;lynq42d2?+9<|`0K2)4ej>f3z;bK90{(u^1GmwpUx51hc%Zqyi zX&cf#FX=3n4U`13cT`hOmpS6BF_n~*RH{VP=(7qk#8He6uVK-E57uFtqSl?1(;>a} zpmCv`Jjse2{=+NE2O&A((^pm6$znMFPE+6PzmAWoP4)dFF{I{l5?8qZ2ny&+D2TTw zeoyAVs%wr;`>rLM^y%M}p&U}TdeJ_O;04v;>*_kRaZ^?HIWGvjD|@~HUX$Olkf_~z`B`oWQ(alBTG z1VrEp*|0k6o+-^w6eyO>Y|?8J7fl{z!O$|r4NjLMWrfR|swen6u4xnyzW%y=MPw@3 z&@j-yI*IhiXZ>}5raU)*;Dc&6ZSJbBno-90U^V`qHvFd!(}Jl~RsDR~ZZ*zw!fAS{ z>lwf9)<5UK*Hu`B63L;G8|Jl<_YQzCDzm?q|57NhUbIvi-R*q>-R`JX^3zv~$ueFQlxwKNe z)*m!!`J_wC>9%FrqmBMv zV!5=2QhtxA_6uQr$yq_(C#hnZl)-MbYWImdJobINST0 z__*=M#ReKjOQm8l(B`92$2V6hOb!9K>+@KI5T<5ib|5nl_yjr@BtCrUUDS5 zxvR^)#%(+REOP%n(Z@K57zCaN>6+k9&!3t{xz=C_CCm-8LPnTC@qru8H>!eZYP0|w zEgDO0O_}hLs2`YiJ+wC3+^u#VUH{hCi^UB%rCfMlhmK-8L#vkpyVj5T)`P$yXRZ?} zB2g$rk>D*kwVH4|`_n<<+pB-CsbX<4DpO60vt3RtcZ+Wmvs zUNXa~f`0ZT$)#fl_BJYgl|x|b3KJ*l0iX)ml?ad-0aO<&4Uqd)yT`SGy!ju@e35tY z;e%jXXMo6MhGiej>WG1MvMfrBJe*)#$qR5{{-o5?4+RaOkum%-Tsp!l$4ENS?h|Fh zd8B?9(jXIYK4RWS6Jx&sa)M)HlSW;e-j;r7Hwx*n~*;rJ0ECvY8Q zq9Jq*B1(ZZ7^GX_Cs!+}FmFWPKUwA6^IIKoZa-w1>FQgKohBJ~1Ih7K6~`OpWTh!nj4T|kteF`PN}jjKN{H73-0 z4@m455L-=e`7j%cbxUCc!AAY0BbFS?EaztZ`W;G@5u+{`6Endv%>prs;q`B^P>MV1%)cYS>yi0y0D)*C`)HnrLZPYpXvt zF}8lXyk^l&Gb6&+OtVboDi?X0+}Mye%^Wv6y=sa4?Un}z-U}}3Z)6L&=8Y?@uLI;eHU&Oqg@P z^A&O_&+FG_0|AlCa_tshj%#nCQ$g1(%5ddY1cTcZm4Po}QimP}!%H&|zI1cG5a$F0 zeLXA}*#2Jiq%^81b=<@Po@%eLT=JSeOFge{pEVC}#Glv1w^}_zOupBMUkBnNu7&vc z8t>ps=4rFzYORT9h%Thc;Ym4$PEPJmDT1d^S>92J1sBd}JxLLbp~X?aG!Wu3`62g} zt5Pv2x@Q|O1O~mc)eg1v3%_}d2RpHFvwk;Z9u?4NECk=jB3>UUZqdxyMc)+DA4@ zgGK(lRBa%Vy@{2eU#7H9+qyp0NYmmtI{Q-AA%_KT0&^*K@^jfKOs3wLf0`LG4RwxX zTfEZ2h)bx}TBh+eN5JbagRDR)bVp(!1}P34sctJ1i!Mj)?$2!q6x*%LIbPWn_S|m* z5j~I57<+tZR`zOZp;nZ_TO}l2v1tJ0ZHL`QEMH=#>a(O=n6_r{I@_cTliV#@2 zf0ghprq;n0&gAx}DI{iM_Q?J5>@^t61D|6bJ8zC{gWYwlz$V0*gpD~)VF;R?B&?L; zodvfV$2Uwy1?7&6fIA83J^5bEEA_O>f5|>h;ptp+bEY@d)x6sqmDgQ2ElV{^2AGtr z$mZw3uttd(@9<;?!32K1LwOzZlGXeR)PlndL3KJ|O0`dUC-md^jDa&sm>MiUHEvZL z3fo)gMT>oe-fqO=UOs^KrHwKV%^qrQG9u+@^#`KbnMyjM+kOreJiVJBY^XPyZ>hWK zO}vZJIU22=FM>N9`^o+{07mbtQut=Ws!tK(vol#C zJ!~H#Dmu_Pvfj54KUTW&R+H2Xx-<_V3$C}iSqGYFw^S<+*$Ixk!otEuD~@zIljs^S z2W71I`5m6JE6a3eHK!{hW-vM9dx)jAf{UPgKLlF+ygt!Ea2pM9k>t6gkaPDH=~qbq z6KoI=-D)%-@oAZ0jLwNWh9=tT_bE7Dm_CGsj%CZnUY3HrTmkilu=c4_E}p-`T&XS~ zN~j(xbrR;jzlMt31l83Fh9Y8BYSbo~s<3%Gfvjc@`yFqHt}RoO4AbATO=S z;wO$TkS;SVAm?HVCIqJ=3J0`>9v}5Ln6WTZpKpYje=$+=bP+=q2<+)%zAjs#tpBe> zpfQcuAI~&dtCG;0|-R~ii{1&;9)cIK(t;OMj#EaS!f5pm0&1es>;mLdM`$& z4WlcTe)%n)CY+)$TH#XZA?ePqkjGTCCl zVt+SH5DS|<+5Vn-gDpaPrL$AJHt-Wh6sWtR;HFI+d8>;eR-@?z+P5~=4mBP;k+ERj zup02RYsg--7Tbo0)sg%?NO9nHtFy%crv@M}1FUR7#-`160sIMwg^$4Qo*o;nx{e|h zrWwfE3wNYW5u@(U5!f>doiSw&q-O%c-ml{R zt$lqhR={H*m|MGSolMEnI4~e4zDY96EM-Iy`^74}q}LBjWI+@OO1cm}zb$E%+nmBp zJ0)r;5XYL(e>tB4>F3+oy%4@2gNFma_fbI-1K*Ff1sk*wz2%G-i&qHTr->W@9UGeF zKX)RrRNf6(RPiME$gxnr?24|bWXDm}t=k{pJT}nbyN=3vT{dxaSE*kULMmi==KXO| z(wdj8!bd>W7u_7K(JrOtj;|mxXU~9yd{gJc8Em)|6p40V$B&UHeD=PKv^jOfd5L|V z++{Jyrh484=6N(Fd2q~AtkqGfdD&yE7tXv%j7lQZ{u&+lj|$=tKoorN;eJ+T=s z42Ns=DyM(`7vsf9He!%Y8^XrG8xb|O!2X+|Xhyw3)5uw!TJ0&MA|k{RW}m@Z=AtB& z)NGF&`|0>Noc2LOf7mTNGL<8zDhKZGvg?$PeRG#Pq!N`uufW!C`1*#g^|{t1^EaFqxUyS&42n4-{wD z!#Kia=6Z1xVhA&(%4)EisD^Xc+YNH&Po9zM5wkxl{RJ{P0T?l`+KArAj!gji)QMC7 zg&ZIC#mNBoowwO%;#p2EWhTdkcE%txMS&&8;l>vpcU;RNPi`f*Pv6Q0c z+gb^v!C}(QU2^Jij<so@Cc83yvL(&~M?xP#tAy|! zQ6i`eCK`JNEUU<>U}ZLT3y+K#3{$D3h^#K&@k(X~@9}bzkB6sRpQQZ{mIsmiJvZtv zuqC$;?kfEf7U~eSbCK5H@ENp43#eI08qJ+x5yNWYq>GuHGfKqjQvPq{JZQ4@ zn#->)oD^Xf88yo1qqitG?aXSw&o?I4N({c3mj1vNGyiQ+tL(1x+S|9xoF8wQDS!3r z@81-9(tbw{@=vSIN&P~@PMpV77nh_vnHOSF7bXu_np+1~dqco?a1P9$&T|3-p1o_# zUR`EPN*=gDf#|9mp9(RFECSRB@MIst$ z?l>@?GVs&ig~Dd4)5>MI!TY_)wAZm6UCHH#it!b2;eVsmd-k)nAY-lgChhuqqFskX zj!-VWI}3@rpqd9pN)8~08vsB9Px$l_nu^UI$2L6%9MD=B)OiS=Xp&DlU0x<$1Fb9{ z9!4Z|gqxe7=M76Q(=mb7c^nI%;$IerKcue<&)=KW1FN4bI@-epPp~ynwl+atGXY*< zJz^a2@;xOPxp!h`J(p)4)^a=OF3hqoq@Xwr&&7vqA};eSyGI6}J{-rS6c7Wm`U1W_ zUyHS&cCk}@p1mu!aWVcUgMS2dVOka&h#MhXLICn1ScyQWO61`g#vos3Qps=c->};3ihiC-j@HCn zCrDErRL`!z*&>V;e@gMJYXkW|-;77LJ9KKAX%p;V^5FLZvM|$3Y77oGwW`AWnzBm& zd`EWk{H$+Nv7OOX#=O}$v|fMaD*P`UTwOyO+*(y+ce((?H5XSJLE?DDNE}c{{}lwZ zR+9+wtlV5x3?PeiL1pTD*@qb<TCIgPO=D@F9tosI$roya^zSVjljoKTN`p@9+t{ zg$ZOv94u)z=aK6Ue|dj0+dz;wM*t9p-ve{P{!}`=p?V4|$QQT>xD3xwS}uaYU|#tt z-XisWq2eW+pAN}NX97?JagtF(Ce1pJo}X#5MlDe=SSWO%6N)%056-s|f$nOAZSZ2> z8}WOz`?B4P5ks`529^{WXn$ZurE4$W=S%ac&rNOeh^c)iU1at6#b6VbL~%6$gx$@M ze$-sxEyEFCobIPACd$8DvZR0N!NRo$B@d9bt^XHX7ww}EpxivT*|3}S11h+{ZwfTo z19AW5@s5mACF4sa2FHE8VI;bbh@PSdS@FH86o)d_C9aAGh)<*A<$s+wBiXNTmS?f@ zp92^rTVS${Xd^pt&IXtp)(~JWU>tGSmVWX%Za0Z?%q366Q~3c?Ncv_d+nFMCM}Z5i z{#{UX;O7Y0RW{GDu6KvZt&#GG_uxdQYwPPkDz=dsgqbH?g^2phiE}&PloJd(SUS5m zvMKz;EdD-I71d$?2~*ERCs-HEvm%;4?h|Ud1vxPUGi z^V;yt?cAX+{(1Y0sDZ)(|2SG@)S>{Xs!^c7i9o8fuXg%vd%<|^P%UC{HMT9I5)KLl-t?LN^`@!E z3`;&HE*uvo;bxD-GDLP=IC0j(i*#zWgy?hyH2ZZ?QjaDMlCW;&9Mj;+;ha+|@C4*O zEi+mPXa*9QJY}@MEsf<`i(YstZv~W}t(2O$v9r4;&J~#sHl&LP*k9@WjGr6RSi$SC z`Bi;c1c8-eat@##;fmP6SAIKEO5Pi?>wcyh=Eg(XsF4Qhny06y^K*va-u`D2Z z0ouDK?&ZM}Id~`v6@sAj2*>5Z)o@RXG8DnyWsoIxQY_-0F-h7`K~ATyeJ)lv=c)`_~5=H5-ADR2nG%X z83mbU4i3d#R%J)L=n1|=zq|8|u>`=Eh|i7G1R8GOfH!c6h=e!qfXu-q6-?N*$HDE_yQAx`>RIRHL z$mKQd2eiC;{mM_ZI7~(+m1H{L_s)8(e#b3t+?8-KQk>xmj08_2dH}ntb!Ej~B1t>@ zvV3DnGdMSY_Alogd4a5OHzHN;=|Dnx#pOS^i73RXM)?u;M~v*q7Kg%8>7a##0t^4= zP7?@>a|p(PhW~=V4A|;xIx~1p8l+B;N-!gNRPY;7P_d3Ealo>i<(lZ`3?8u}n<^6| z%RGB|@iaJKddG&AX2A7+_w?jazuFNvWb6Ji6!QDnm@5zv5Qr)Nx(bY9)8(l!UwC`< zXj*>zWnWoHGRcEdpz&10IhAp_o>?1#D3LI~&(qounLa{%K$`+$uO@?n(|hEa-7F$G zjji=e7P@G6Ce)&3rz%eoX8saxl~Wl(WQH?|MczR>78DXYi2S{7mE*(i%>nR;0G#+f zD;|M*(!3GK6k0s^EvQeUVP^sFV#Zs z=1Qmowi>hF**U>sm4G(A*sL6yYW^n+-p*NxkY;wh z)SOSmYr*cTJjANZ_Eej3p>J1>Aji>>S4IEls^*Uf=V6Z6?n_|gPV@TOnlo<<3y|(L zW0LL0F+7U=!*No7T^jRo^W>!5noVXy)0Z{azq)&siX6qNP|vZr-=qCTS6E9Mu;cx8 zPgz8c7_(xR&OnqQ*jFn23eOa}h@lR}ZqP!$uFZ{HF(!ZXwB;=rra4Fn9=gwIqoVLT z7&z$PO3GLOK{s>S-vKQZ)5lSOk5i{)>Zr=fy6-+5+L41x6al>8U=o8(9XYt?rVXur z+#3j!1OAFBw$To}*;^lA2EVL4$|C;Yx~LV}ysBeC>w$xm0jCkKn87mreN*MhCp26u4!mHOWn(B;XP_BrVB88P^ydDD{rHSnddmw3M zP-ztA2mVmN2NF!stc5dBW`0Efhm28R6QRYXXkq>$OuGzjVlGepPbJ4vebP#OK_Tz3 zJGKJ0-b!a&SHoY|9K=H#{j^v{V>KDgr<7a{EzFp?t8w4eL4SXtr+G`d2$7JllS$A+ z1|va)p29jqQ@FX)!8H0^-|dpTAzKf2)T<^k9atggYdJmrjl3c%m!Mzw{+FJRkdXO> zWOx)`(0cWZ%g@l~8c40Ijqr+?F6TqvN^|ehGMKD@?z@+XrAE!O%$qEmm*9T??J?#S z7kk-tDcHHFR&w*a(KYd$U+26C>cy@^Vf|*Vf11@``Xyf1*_d8&zd{u{FZrD7A^kFh z?APDkz5l^Elm7P;C-^d&*xm{30D1{M?F7-s{Q3OY{(O~LUe-aGJO?Bc{zF$$QYb8Z zF2ErRK-{E;@m5gtz?c!*&p8*h55M`pCzDv zHzy75dCu&qr}&40ii*B!C+)rW2H0yDwIAz=!v~VVwu3c*HIpXjJrj-s-3Eq-SD#RL zZ4>{A0~I%Xgoee4y;+^S;cTct8xG-1nODR;zh1_KlISF15WtwR_oa&({*VMI1FHd~ zzeQrA485<1ehq(C++|;R{}`Yr^4^sWYj>u&|Hjpcz(OR*8PN01msRZ-@-P3>Bo_Eu zN4tP^ecDV{sHGyW{mqHmKVf82&BxyS0pi!GipDJ3ciyb&y=9ZX3KX8avxx50oDE(Z zY_+m@aaAz*YpJPV5?y5i3E1_EY)x-$cN~D1rtmDTPpH$sh7`GKxo?-e*BH(n@CK*U zH45%Pf0;OvXpWbOeu=T#4m6O2@jOr!CGW5z@aSr~1+zgkHY9jzcG2enWMRzQH3-Oa z(S~^RoEsB+IflRSlN1)6@yznoVpf(@_ApM{$QoU}bfSN0c*O<0)(?5hr16v-k9TgV z%>Y+)8r6X7Yy;4b3M{B0(uc3+#5xYK0CvzL<3oT{OAR}a(p%;d+FWuE5BzEv*C&6} za>N>?$`aKd#g}h2kY)N3M=&`mijp|-$-j}}UI5;$5wL4fi=W(tCIfxdQ@DX`^)y*!V_ko1p__6~S zNAPyJ8c&n$6>Sh|4`fMy!KIQ;{}9am4rblx&S-f^3RMB#nrP;itSmkT2Z5dFC+cJ+ z=M}W}0RB$(pO;1i?)UfO%x?-cTvAFy2O8>Hq=LJ3CAPvRm7R&0_-?xjl=~+EsrN|G{ol^+K-f-Mim*iY>#KDsmEOwqUPcpi zm;;eFwXm8|g^v*>jqE9oke+Y-N98ECY9KgXvj64cM$|~f!GwO6v^RP1vWLV&w6 z^o+8}2#YLB?nDD{+#tFU+zQVsl#B^i61o}NK|Bs{;htnwc)SJ`8I0e>YGRjm2l&g7 z5SMGlNEpMDI$|kvHVaX)Yz(NU80gP~W2USCzHa~~7n{{bk#ArE?+(N$>%_ByEPE=j zZu*tYj}p^p<5OQ561V_x&^bGI#+^6lr1}toH}d4LOUUg^-<4!Uc*nJk2QZ=-RKkS@ zOE1}@ow@FUJrwj}klJHRDm&;U97Y=5<(B=*=-&DLJ>nw3*UPtn&wXvw##&tZqK0w^ z6@ESnZwnf!_YV-1e>Lkb#Nb%)=KS~q;eF+%BCJH1critT0Xi{fl$nCs_tG4+Il;mB z_mz^~NnoJ~K&b<}H~=}r-rIYU?$5K54Z(rC=C52G@#5uW-{XRBrAtuN75&1|)({@* z#*K87i?Nm({vQ?F$#o1Gg}v3&1Um+jV#XfYv5l(%O7ae*&1#{2V)@D>5}P7H7O$szoWrue=(NC%GMt?kdlcFiuBkqagMr@^0CyHNHWQ0E} zR{XJ<-&<5Sbpo6c5qKn{J#ilymux#)l>R6x$K1GSS-%1TRi}C21+kn=%q5FiwoZnV z6{>v_2G$_`)Y1Z6J}rY@{T->r1%H-BAKo@t zTPJ4Js&pR>-7h2EhEjfrTC;HR#}#;t!`BXL*LD17nc)Z+|XB^0^ zVj^gVnpH4M@Q1aMG)Wh2C3F?w;TDmoh^WX7D!{O0%(z$Ofa8g;+@@vKY@AxN<70zn zuO5N)F@P_Pj%XSf^efwzz!KG=q&SyRYt`p+O#-V4nq|FmS6jXB?IiN1TuS`f@ysb= zOpRWtEyc~?agnYPWckDmJ99g$dKV$bv+Va0xItsQRF7%{tGj=?W~{nk+=SYxNnPC? zauz2@U;0KZD9h2+KzhL;`KdhGCD;y?>(BN%f(KYlfIe;>32T4HzbXQkdl~92e&Y|` zI6nirIZSq#SP@dNKvQT8mCUNNG|%pT5l<^P1wVKqS9AKKH9V3me38+LYPu;!vGIuOz9MmW=wSw}16nJm zBckzu3%Dr5F z-Zrl(49nF!`)ghM$Sr-7r&<2G*EtXCF0U-lrgWEENyaiXeq)&Q!WNRe;Se+isjdKw zosDfr-$=7Aniq@RVI*q2!EPOPSc>=up4qL_2PtvHLv(AG+YyyMit%p5#nDyEbCKId zteRC&A@5;J*4tNs3J4U{G)BS~!S3?_o?TT9B~x{f*W=nfS)ulm5s>_Ao6-0V&7%*8*v?}0p3qF9EG+^9aKD)2`_hG>T?V_~PS8ZqaA zH0+Gc6%r5#06k?0VtALr>gxDXG*+Zd$-I&d?D9nK-ZX9yXCKV0!d2KeFlpy2oYV}& zzLne<%Nufs%Yvv!WyxgX0fq+vd9*NC_X`B9e1ll18kPLXiMTZn zj-I)9-(cDGe~7BrvrF>~L0cFWer~SU)3&!|=?y27r!2ZT;BsZ#;0yS2sQ+iI^Kcv% zsjU2^-X|Nlg?A4l=o>~C-#;I8OW^j@c;9>D7&(aTIE0mnT)v%PA1}bMI{M@UY)o8| zHZ?>A>+ukJ)*@dI3V)ZspvsucApKBJormoEv$#@6gI?#%|tEKPG z^yo*%7RwXKYSK!7+By<1Am1}vO=emv^I}Fr0B1*a4jtOP71y+0+YSr>;3@7>znBdm zyQB7=a~2$-QJM}O(vBti>* zK{Y{F>Nwcvaq_!DemZvL=K_R^)ko4`fVDJ$vV7r+zWexZcVHdAAK}-cj^+8oQLdk@ z<>qN#K>gm8JO7f)*GhBQ6>bNr+P~NB58%MG#WqQ+Y@Ia^=R2VN)0`52ha&c0`HB)| zD#LD&r(^iv5HA0XXPq!^WTuJHVHD^-!chf7^GIxREKEd@#(MKb^<5yX>p~MBLzCs8 zA9SU%?V5UJz(C_dDC&hwIW^{>L1~lRLRi$VS{&S7>omlK>%Cd!|1vV-22xX1VrQeQ zMt!|nGM)X?4luZ{;uTOoCh%1~bG&Y_EUm3Bcse2>7lw_<7lJv;LdP3Vb!2Fg?)Qce zf2J!LNOGHYptYjz!i*pj)f)ecQ{~@CY-!@3XgY&_T%3&pUdaR%i;YTSL`KZvKxA++ zxT=ewKq-V{4jTHab!T2sV+JmI5!n|tM25N8^Jc46aS&pS5ltDqCC#GmRCNKcb%DK~ zQW+t?CZ0xXz_ohB8Z7L`yMif>OZBZm*W@PKq2TsGfzJBp7h>lUrg$AenxMXuW6IXW z-Ssp_D%qtSErJi|QGbf?#FVZ=q6->o{a2;Lwkz5PPDfn8RB8c7iv6?c^r2wKT+egI zh#3t+o&1^m&F|r(Y9w)=A9ZAVw9&5FMf34)(q78pOJZW{YNDC4pB*#9_LC^5QLjIE zU+M?z2TXT^4{2}vzZhgZW(KL0gB}KzOpx-v{TIiSt&R$X#nnG!Px}1PVTuy_<>jX} z2Wl?exFJ>i=?Mu5=yv>9-;{fB(g>chbEQ^HBU1C|6PfV&pDjSoB*(ADpEfP)bi>Dm zLXT~Kc54<$y&$Du|A6zn#-s-aOL%EOmCSp|Ixy>uMveWH$&@hzqpuiVGTv5U|6**7 zIdXk0qVcxD>pW{Mfm?Rwu^@1Pac8aUE_Y{%MJ8#VD-iA9?Mw9`6Tyo}DUx7eI5Iz( z))>X4(#|8g5CP%n>@n9ml3Q2xkNa2h9aDIq03P(KUR$f*RX*0ETlC{3Q{kY}#v>Qfs+3!K3 z^Kjx_*36+Li${l4HKS8K3DWD3uO%aA zYx~lSu9*f%1viyySA|A8xuY<+TjKHFNRJ&yhriDKUmYX(6$PW11;$Gu!sL% z+i+R~tVdTq=OQnfzM+0$ zt7>)D&R>$QYQMoxf=Ksg;^!Ld#7T6bWQ;|G8Vl@qcnXcz%Rl|=E*!7 zDua$Fg~Q685&|*u=v^9t0Hy0pyKZS4@jLpJu zEnI_%hUn+}F*>&@#YGgai^1e(8~ZBCFI)7SrS6lWJ+Z=aylO-uWSNOAFY~;){`EC_ zfkPxY0gpL{C=VkGYAJ3yTKr`d0UHG{?U^)dk*p3JCB6Sibj7wx9mIBCz9;-zo&- zF-vI?z;O1UD*kOp(m@n!2v(81--9*xZWC=mAoQs9hECYw6aagE;Me{~y_jn}u#~*= zPJ-NIdk{1tqa9eimhr+e#Ud54tnU!sT%`5mV-vaTYD>;j|lTYk@|E_bT>z zzH>nJjr$`1EfkCB)YXWL3B*hT(d;>)odY7Bp=|h48;$1V8H33a9HVMof?F9f0`+1& zQqZNyh4?e(#gYik$kru~!+~aTy%0HE$Sfc0TkRw1!z46dJMvbow)y-0-q3Rd;BP55&}J>;qV2x21%p#;FJSLK(0XIF&EFe{MA@iw)Q} zT5jSYXj19GsT$*D7o;T+eS#yfWdC+37*Y?)^rp~w)zy{GTQXu1_9ohLX4+47&F%70 zpX4di0L0{#HkQr>E;LiMnVy131=34D=E2$yhNQdQ&iYMTOsPJHKy5dUFZj`~!IG`n z%!tx(y&ZTxm1&dE)WZF6&BhXFGHv27C7rl>SQU~=!0&$VxnHR)y_^X`h$g#;xFnkO z(1i>o1FLq^R^imz?PkirWrhF4-SsKwJJo}*qjD_)UXLB%SoERUCl&(rTdZ%<)cSWG zzGjk_!DRe|K0%b!1H-UI)*y*c*jxb1b2xk zjoB8zv-<^B$0J?>hU<6S!d#gL1D2ZaxE5)JbVIU~qedDKzu8|f2OUp|QoAAUL4|sP zk~dtoXa(%Ho3PuCTz1q8Yl9d%`R;Ix%6F=Po!K$(V>!8D1mtaw`>ujW&TQvx=(_-D zVPit3@ZK=iN&tHoyse!=y3G8mBp$O4ss3x<(&;^~YO%I3$Q><{@@XRSvU9C+RFNF9 zW*xm~W=p3Idk0B*2Ut+ZpF{@16sdyw+^Hgz6h9w`S=jH=gu{0bCPb{-*oo8D31vB zKeN>accg#L@Pxf%#|i*0r$s9f@soScd(W;#;7MeB+9kETED8DaC1X)T?EK{r$?VTe zdhO!Y2pnTFnf+(P@-4o^@u3G$1lMig$H1tBC;9{+0^l>;$@gZR>P4%*t#A{8nLp2H zTvf?dKdM^~*75By4NCA9q=iZS#s^aqA>dC+&QP48?nv;(68FA$NyMp>4;VI@fVCJ5 z$4m-JU&yTBzK<&s_VLkY_=g+%DAN-+*FI_8j~6#aLEQ_jM;mNU0{^f8;H}qm+ynic zeB8Sf!jGBzVmsv6#{b8zB5;Hb%}?HN0~#LcYY(B=%X*pVw3oKfI;`dqU_+}ibC!Un z@S#zt;9_#M3YXhxy|C&&46S-`UsNtH(siAIOm%Ylg#^o`ncJqX<* z1u2z*1s!I~ebsT>s6HJAo(fFSsUIuRJ#+)}>*BR?ltZAkMYlaAW0J?0qT!i2 z^g1%cpgrO*vX13nrc*-<(X2zN)+f}d^RZYGBI(*^lgaY$TIWxM<&BKH#96`xO&`U` z0vIU9NKwm|&o*tj{@l8DAom2?wjkPX+qS^-#T)9aesALcwMh%h)+g6JDI{*U0CSJj zhoJq9hk6w*RcPe|NXP0$*zGqP0n5^S2v@6DLLxb;R!utUz5FWNQF5ZftfF!4!$`f?&lGwKYTm5o7C!uymgy zRWaMQAZP(jM%2XM-ix7o7Bfqqxe65b0@G2|1L9>Q24Tb~jC8dzz2Z=sjNU*zaz9jG72~xFeB1afZS}n1h@&Y>WV3{Dn z@Cxk|mTJKx2S%*yzM+H->Fd^d1mlNELQ1_u014orejo8g$wOLq5O|8BToX;z1lto^?*uhHBM0(In@`J z8k+Ks_QfI_Ogp8Vpxt)qnA7oDGCm`M_P)l#Qye^iMi7_)gZr>$%29#kWmE`xc4Vln z3qP*ly9szll?iy4xfbQ2sG_3`H$}#o2eA{TJ9PpIOy| zDc2BXpGtnqksU>@Xpa{q?4tq zC?liPyo&{ui1r%Vj-i+I4f}a}pATLS@W3(>X%d>=FsN}{Zvnp6l8v#3s#%NPpQs~f zC%Xu8oBTOt9ee@MKC8%)lJ>ZWq9vB|Mdjq>CRozq%qOCYEeWkP)E%Iz6cT z2E~i2&$6m%38&@}2)7jVCOs~egPJ#n%Mnho-6w0v<5 z^=qR5?nW&PRl`ELF{-0aQp{c5ABnPqQD@YWPgp_jAZ&FtndvrQB%k|nN1a1KuNs>S z9rp>i$1g5^VlDy0Z;M5!L-RG_19zncR>}MV?;+vfS14ihV3kM(omuUWf1(^D{(9q} z*->x7I8kgnoRgF$l=pwu5+i5dVl&8YVrP2Be6fDocQPET5PJLCaxlXYZK76A#eys<(li+>69LP)OW}?vXYS4AUiV0i zus1QcpDeu9eR%w>A#=Re`jS__cZ~azCYE6Z> z)?pkMcwU*52jol0uTupG+j?v)mT?gnYyAv=M0I?oMK?ltDmu!yurC^#FmCeOzb5}l z9I?z`-t6iu>*LKvVG3e}Jh1EiyYxJ0NIBbHT4-g?Y^@TrFFI}4z!M0Qp;YDLVSG;Lq0=9XUjA-$`?ghOKA z|N3$`1SMG9?@tLgiNR%Spa>tl2tTSa8rjFJC}Ni>QA+-FthvcV2Ca%<>Jp0P4$4%3 z>L?s>aEiA75&Tdv@+^*6Lc&BpJfZCXQRMR*?af@e+mCZJeGK2j+z)ZGx?I&KZ^e%$w`u16r-Nk^mgs|dFqAJsJ5IncZ6ji$@S!7yOH z-@z3U$4F%KhGn}=1J^a9+T>)gw{6e1B)OG-lj-5Vj$0=h^O^i5JFI$g-)(}XENP&y zq7^SsmH4LqoN000mQXbx*jn&Ahd#-M%w(jy3|IOKFO5|^f9$L*U4ab)XjE7-8jD9< z|A!lW#c>M8629{ngxTZi*YnjzKDSG5c)6yXG}sZ(;6tyg%&9{_&A>?*T}}1!9^Zc2 zP|@v?fe^oVp?5$f4*O1mdgW6(pDsrQaBg%|e)s5oQ++>}Dt2z1VTlkFXP-v@&FP@X zF&pSnZ+8~+f^~3oLO$1Bj1lh2+AaWkdl_nTqZf>|IblW-|H`NQ!@ge7M=-ba!F#h> z4ndvN$^)TJr-g^(*wapJPe+F=Qp}L-y&)7lZ+2`XG51UcsRii- zE6vAAxO$S!U;F3pKQ1@gAZbK}gz;eDbMG2YZK4CQNz+c;b~j`h8PQGYIEXjl{`*dn zxKFjmD~t@fP4%CT{8B)Glzfov*RV|)Hz?es@5*i|d&%t#l~rg%O(CrCPha&G1ilo- z_pCJuD%8aB=3?J%aGGgPt+kXv*x3s0Dm%WAd<6G*HOE3=fv#DT!8>tpgCUN=clBeU zu25M;FT`yTeQfEJ`qx>wj18W$85UPqVfkTn6i)@?DQF@r^a>D#?pNrLGgi%jac438 ze+ky4AVJppkIn=dZQ8pc6>s*Ri+kAoPz zBmpE8glj~I$CZ;FXE;xgahD`DyCIMV*h@-Sz|C#tN zwAEzcQ}qM|ec96w32;cybZOeNOi)WC_@>2P)*=6GA2f~ru!gCGjrjLnMqz^wd18Er z{W5t?BzSv}3q*?mK34)*{+$Q`Xn%QMa1b14kTKN)3V5Rn8siapy`cSOIoezE+{tD0 z$5k+ zv!ph-tfh+$40@sXXiZ^fpCu!h!g1nJEO@h30-&*5eM8``y{?*tUf|w>j|GWX1eK|U z8XT|30g6#Il+9jXlpF!p8aW%>5Neg1AX)!>{97|gMmm6ujBAeY|6oZwRUch<=`Y$c z!56@g7X=_LGLlzRDrVrV<^^CEQERN2)I7G9rzl0|@bqXEZq%{o?E}{l21N#0#;Sr5 zk4KDp7`-pyKgLB*6&F5&U$X3+8Snm6e@5)RgE=psZ;x=!bAn&@m!nryt9u#e|ER0Y zR?fGB0-8%k7(%S`+j*M&`OACp@kNNw!Q979>fK-NPP)7vvz!3YxCX+$mYS*m0twBO zygm3fo>j!nLH2IujcYH97WW>6E^3UE1C91K3&`<8GXJ+V@B^UxjPkfSI?mZ}y1BVA z!a=6$WA3O+jnI+dIybe;|Es~0kbE>B`uF=-lL;lA&~-~Rxg;eEE|+IE17w%10Mnk0 zW|nia*Et)77%v#xVZVUlHEPNyI6D=Db$6+S*bz|i+cRIU-FBpql?rcj_%oNKl|XLssoeX*9Fg2-o#n1%nb6hN2t zRE89gr5L@#ElH-UF{GCzp#6$Ow(3?w-z(9A{GYT(pK{$VeMC5S?w$a3%rWtNgb9Ke zI+j8$)lD5!2t{-*cN(HYbRwmSi$GzO{tfyuh+LGs9Aq6-YLCRSHc94KtzT1CupD?3 zKPm)~FwL`Y5=83EntpzMuH;b;JM-3NGT4q?fe`dChrQ2Mt>28e1Oj3-|3iB|) zzhSTO3Ig!0-iWEbg>Deo+GOYeY2u4y%D07^zxp;w3cu+#(@jO=nvy(Nlwm`y0eBg( zKK~2+^xp~dxvtiZGLnCH$U{tvB-@m%dayH<9m5(ApE^WuiPBdUEu%j{W0^t@*3pwc zzO5k0@x!G~P^!r%e1KVJvIbH1fhCm2GrbJ^*Oe745Z)C>w60La(?ze5qk#wFsDx(lrpVigXYH%&R+s6-(%$sNTKslVJ?Z0f-We`UF z?#w$BiaZnap3@30e~>t$?+_a3510Q^5WAh~@k(>~~Qn_V*( zpCdlJ#^Y@T|2xz8lB#|aBdlyxx+Dg*k-MQCY{MonC88nF5cK2{d*VtU0`;Cx!sT|q zvu4dvv~tX| zsi0PkmI)~&n)jLV+McE3m{8C>@`-;|R+iRmF6>PDnDj1XT!GG7pzBtksDKWBXPz2| zLeP{w{B7|USs#|c*|0Kx`a=n7hpR(XnF$gS=y>d6+b;jwVU*m&H9l+; zeUh%7!cI@W=7z zZrdo%NIHV;Av}m)H)dyNf5jdA8IB(T*qA#}=NA{+b(NwKa0;-9!Z}A$jM0qzsjW4U zbQQ;xG%6CF4pi)ozz&AjRr-9AjcKzEOIRKP5ZBi^YvE5^u*3v{z=An!l*_6h4{<

    MWmcF9`9(raZA7EdCpX+y~kubyVHOE{K-PLx>QBQ_Wie>?>rC#AdcEE z!kA2H%Z?AgC|mYS3tzTP$3cb~%^$SkbVOWT37V&qYGX&qIGjnqM=}TwPbd4iwS0&F z=g+&JK>pZxi1XtCcwF4DUslr`iY zD%yBOsi`6ZEBM)h^|Sku`EuQ)s2M?cj}5H7$`eCO>=Wwl5?_ceeO+_wlxSTFYKuk# zve5fIJ<+gc5p#$s3L-*+KgC%o^r2e;?7SgIg{75@WY7u4n2V9p40mtt{D&EVD3#9k z-2T01;#iT$O+p62HBGmz+0bn_N+m%b{PvNBAWB4#=yjDwC3H{@Vg%H@vPsy{1c*)CE+TPwiyJ5^k;$$ER3(g({=O(P`7th{YtN{RZAHWx zH7)+S9JGo2Y%eg8z@>O+(3hGrUuJ|YrPpf~96yXtHx8DoEh2 zO+c>IRu^BooPTsz8V+t0^l7C3E6@~JP}bK%&JUQv76&1o$_1nACQOv`k|#}C@++DA z>2m*+#C<|rl7^Lad6E1Ks5y?}&z#b!UIGFo6N)Gii+&;VW=}8rW+4{B9k1grl&K+H z7b2=?2R`X~cv&{Sm18ZOI;rkb-1zQF%RnIE%~z?iLyNCh#$vqI*8XYY8U*q# zH=IactjNVtqSYJ#ibFq==9kQOHQYiAvC@oOfiY2YgGnG0yGDbdM&nArRX10S&xH)n zX~iRFFA~v_V*trsASteXfR58Xc}15{ynNB6LOf^^wygkaXk^pke`>KZR8T7-FEgfP z<|{%9uQtpoT8if&ef9B(oeD?1cckJGRvdpgL$A;9)KdXL4XUX3_;_uUimP3~nTQC) z?*qyU5|2H3=^b@t5LYUR3wauoN-&qP1!`JvEHD>M!5 zshb0^3TV6IJ{GOZP9`ZGnAeuYA-23KK#Vjp>ld62ey5qIs!M$b1d^pYA1+#kf9QMX z46(&>Sv6j|3P#H31U8APo|L(3|6#`Se#RIXF8uh(eCl!c;z>U1M_Uq|*9K1r7@v5R zMK)sR@68%!Xhi=llC?=~^HToIEq8bE&cfSUc+HJse|gEHiRTifH6O-v~H9bf*rnn7ga>92EToD~ zyIpulT#Lec1Iyqzq)NzK`|5gy3KDx%J~Vu_gWx22bMv0cK%BNYQum%6v zS!n!hkam1>Qc_e+q$EF&jlX%_t!1 zPsTsOqOfmk4MRaAuFl|-s#P#!LaI8n3fXI5=#4P5V{V*~d@12x zPgXcjlCaX}un)}0Kh-*HTtL8;{5J7{9ORW3k+X#JMc_o?>QV1|hEgyBy{ULXii^F2 zugI}8PrhJewZ((e>9eaq=S-F(|Q3=VD@$W9W_Fm~e_u+Ee%b8&c5SU-*}2t_wSh3>G`AQl5Gj5k zs7zfPgm`i;DoqUXA!Pa5mh|#gy=W_`ndJ{Dk%Um5a&0|V9eyVIUrqsmAUl4NSfEkq z+aYgR(UT_-@+)^no|m)^#+|J%+3abQ)r0by&G{S02S%IQTD&+Cr>aEnY?Y z5A}vJG=ble^$Ai--RPL-n0AvktrLaCcOZ{sp94B(4L0thoW;#*B=|B@-i*@zIvFWT z5zKRkHmG6>%?3-S@_-X>65YK+6p-jKgKY;p+S;^^Pococ}8Hb=$FN-CcCFQKQrmFvT)@ss>KG*@m z(;&YbGaR|MHWZSb8r}(TUdgH&8Rz2dXtS?2bNgVR5FE~|W4R{M6mV=)kdp&5YJAtj zk|nwL7h4LsXCKvXTI?WfI;|9nAVDZzX~p}u8t9@rDw+ud`9nU3}iCEv`+DcdB7G#!g zI~unF%1U08(s?~RK6-?rzWD80CcDhj&*1H5Mp~!ju;rlmQj}|4s=JN zMSX4xZFc8jUS#l*7%0_@+mDK>7setTi)v5sp^f=spS8*}0%frzn1TjTd;HrIuFI@d z*N~|t1>V{-%-2-@9|I92#6+C-Hs_sN_wC?P5y^wPtdwZ-o!NJ49 zDM(9bYkDbe((|SZi+Awx$ZR7RhF}2YOL%^uyRieqS z)noC|6cO2uhyg01SoxLTTK3^viHM4-^jDP3q>nG5BJ(pV|NeMlO_A=8D*}5ql9otO ze_#_L5tM{Jv!VRso4MbtU=v-};IG6==9*E_^L4!bkeg&B+0s8k{sG`<(_iPi2_+hF zy5BFZ={xbYQQ=6X^*`7nMkIV`nkmw$c8Hu7vg~9$_vKTi)dh>9f8Gx+zDee=P!FCyoa2nYA+ zb6;QI%}t9C1=Bbk$4Jz@UpFGQA?!%Ow6y0Swt{~>x=!zk3p5_WfZzeD!w${>w!9n+ z;Ihu~sMB6!*Ag~6YjeSXibt*TBsGH)J`dNF5?)f`e1I5T&4VAx>5M`Sr#{zLR&A4+ z{QO#9S_TWu`sAFYvAOSXuv5AGOSsQC$_kF8H`g1PBcK3(JHfNbSr|V}eYWfd3tjYC zwCslS9mCyrw@b4j8tY8^5JEt~b>Q>*qzo6g>~)MoIPJt$EJQ9rTT;DG{1b+z3p86E zICv6UA%-S0Uii1Oam2(@KH^bcAB|kT&UUud>D;VY(y@<9QjwxPXH(-g(kD_4BF9R0 zo96$qSyS}kT#y9V53oY*P^U)&)ueyfB0$EHU9+KfzE;Y%63nb@=~$M?M2|LH$>mF5Y*b=6 zP~X-a7M(lt6t#FCu@`8M;P3y-R94EVzd=Co`o>5+70&ff@#yL?)y>FZyMi77?Uhn3*uATe}^hx;BG+57DRICc2Q=m5SnzD*LO}`SXxhPLHjb42teHH>h zRv{S2^IK48BEzO-LVOsr)YGp4e5>%ft)Mq^YN%m6(+S?vVgxM`;~zk~X<6o+uw8X; zwFb+D)qg*fJXO?*tGWH|%ESiwAv%jHt5>vx*o64wjE|`gc*Te>) zA;b`9mxrn7>>oG}6z&k)OmB1x)!n5s>!H)`Kf&G>^&uKX{0lVUT+~PIYHH3_`ft`t z3s)#cq+tIg`Dij=Fc(k;hx|nPPc2^NL0o_8Kvknm0e+8dV4gmP z=IfyAE`#qR(4GLF{8}Xn0yd_5+zMZMZ}+xoPWc`NsPqF zI7VLVrE*-b3i1gQBvAkLY*wE+uv@2(lHK=}JG>T2Eu3XkeNKz58Mg0FyuB_G-8ohc|ff}}JmvzIaw0u>q^fDnuD0<0ztw$0a+mz+*TOh3g zcx&h53nFHi>|TUdh)L6Jt-hHaE;WarMWrPnwV^x zy2%N_0FGVXo>1wp;1@7hIv`MZ;`b(JQZx`oGe9C6CDcMu7|@{jJd4j82XouMQTr>G zPs=X)X5}jZd>!aSnRD+@3hGi#KOJcyb7#s#l{3|bpXh7%vDmmP#26B~lUEktQ{+V% zd?(bZgEbO8E}!WAb5uX8@oIL)54)T0F|Fc2nx-h(v-yUzdHayfZw6;-N{9Rt!4TT)zBD+=B$U}a*PmK-P-xt zd)-PS>2WdLw9wx)Ur@mCa92JIGn)g<$|4)au6_O8hCaR0P9qwuCjKz1HGU!MjRhx+ z=~@=x#zQeIccNSptZrcZ!`Erjkmk+1{l=9EIL%vEzmcvWVQ&WS zzITOt-t?br_{ri5Fa?L#8Q+O;09dXcLGDMQ@Nk*zTt(oo$VNG|YWWd8E$894eZ4?k zB4Erur#Jusi$)#w2F`=v-vzFwe{_lx8ETF*zM8FdW!Pp--f~~lXg_XtI5WtMi!rY4 zAc6fONoKec3{BJ%rj>S6R_xWvAgYPr8Gbf~Ftj^`Y54QVv)t%`B$R#GiP#l3p`Y_$ zsu=a(2}!63eky*+5PCxnbSr~7=hmY3zE9*LLvV*^$51T!X_^Q1-_(*^8aotU$VK0! z%ca^_;wofjeJ{y$rCkoaaw-0;=~o+jN#7k~=y9wZdU}Z^S*+XcX|$t*bL;sOy~370 zdJm9>6NN0HL32X`QNhkMzi2VyBn^unNlAj9=Ny@ zH{3_QLRV8-3cw!@D);MkJAeAfr!KNk$VGziovW3y3qZ9{?Ybf2wo`s0jtB{=B z2_!T1V?0bC++(>P2Y2?Meh*TCgL3~xelEdQ*0bl!E)mx|EY#0!S4`guxp=`gxlQr_`SF#4eF4x=AQn$`!8&vKs(wW%n}lmbb* zv5>B56xQLA%ok|S3Q!XJpQLG|5j8%KeO94oQKs{mEMF+Ot^pp8~?MhN=ZeK)JC?)*n##GI2?UirAdb zPrK?R!w#6E<)FLs3lTk6Q1;x)X8?lF?^LVBWqh?jzy*0KdD2+fTvhsXyl~M_G$7IbjJ6KRET-oQ(*7!~Y~D}hug zsYgo!s7LEZ8+*kHi^MF{$jOd6r@mNt1~NR7^mzWazh(6E`WRSf`$tTm_u#?o^vO=8#(_YDIdkG|u6Lg_^7p+>vhmjm~m zPlQ*!`f?)AA&rt&TwwDW5VuXesK>x8dLq#;W55n(M>|QlJps&%;-0IT0sh-6*uM+6 z)P0krJ(aF1PfS^c*Cj1K9$(VNj~Gs^)aWuhR-WBUEau<)y^{y(^ZG!wm6iB9S6NyE z3;;1WarkyD<=%MFV5nME3?3aR#&)%l(ge%sFG+K^7hQjtsWubrK7uoCKOY&)XyLsRvX`#5LvCNFy^SXD#gVrC+QLs5|lymp|ad-|> zgG#ZIVpxV?3Vac>7&fJVQ!Q7AR4vx40UeN}k}Hf`{uL?))i!|Ri_o5l!wMMKNeL!*!ERMHJI`b4X4x+DDviKclUS)*4u3l?gox!N5;@qdHcXLj_=Zrau6vHNcMQGEb0 z@?Gyc?PtJXfNw&q(P?8rE$41pv0FIx#^cbd)8=h5xvFNeoIGd#1ae5<`ue&#$Jqv5 z&@wq{@Qn6eNE)n`GqwZrkX+zFzNoYsCq^ZJHd$d>`xDm}sBd0y1cIGL$@fU*q4__f zf2>AoVY$Fu67errjj$6N6Zc#eRcDxUnb?NmHgOsQhij_S+trccPjQa>_tne7Mj{`~ zmRGUg|J1yN!R4tA5f1QVE$U$M6-4$%-^D_fD@fS!Cje2*?FSnl+&(EN7~)f-YmKLy zL)w)QQb57ejdY5%DoIK3BPELtvOdNBEqeA<7x-SWAOc*4pCe{|oYP1XWlNRL=Fs3y z-+fqb#c2E?W(5$Ji<~uodSDHg;BHhW>A%1-S_cn6a;`!DkzyV4w~OFaTI>MI=X@lK z6)UB;mBrD7`Uy-VCK1SWYVNP{*DR(-aEwdZ-zs}HVhyX)g1;Xh9|QZ8g7{^LUQ--i z12;=G_{m51SkkMaKCHvE1*CN({F}vQmc2%mVzZl4 z-Aecoxo5rAwX)U}akya51c@fWvc4dh6XOVcHuBKDE;fDk-sLF9FQB!)OUfVQEBqu& zS7v4qop=V!zu*D$VRhj_%m*jK)$w9PqyH?}o(3cw6^ zCw?l6(^raJB>py6Zi~!M(aZVt{tOq#!T52S(mX?qbrvDUYi%rOud#21nQa&}3*{g8 zX~FQ{CD8L^gb;*vOYo51>Ko{v3`0o5!ow4VmH^Bz=R(~dAqe+7`8!@VJoQ*T<2L!FbCR}y++*b~0>USum8M7wds?mfFU>q#BAwYiH!ft7vwpO- zNDXb#TGye@6h`Ao((R2lop??;o5jZeoYk_1|I5;^48`rC6)Hukl^bBbR^DITqZFF+ zI#YLLo_p%>60RQONf%fH`UbR@BrYhVk+dJ3WlFJbH z$Gf){uC08!9lytOk&afsUlE-{qx)&W=|l1RhJ;DAB5xh=`O43O6I|S&+YfQIr4uz^ zK0^abb*xeMLk5|Ud_we0w@}oL`aQ^*r6}9`b!1@!dyrAMDM&+tUG+8WoBArrFR8yc zjWp95;GH?@@DT*pKhl^%krdgBFCbd!fs82;I?Z*tB!{N;b8qsVOPO`jBOF-M&|ZMI zw>Nx|dJ~N;#nt{9F%tXFw9^o@P+1+Gunn`xUJJyz{TzrQ1O76X@7WrBJa6;h>eHXq zwK4bhqua*_obp+Fz?}^2CmD97^UGCxEKTDRfJSF&j3;ggsb@uV8=(fM*L}k8iqME@ zT);qr&-z1GFNzVOI`vcT-FAhQf<_9&N9j&8FH{fu@JS~Ohxg><TO_6hCv$e z+F;k4G-gz92geLzv^rcmSsm!bG4~Unq-JDi9+G@-i%S4vR zDfCv>4T&)TJWdsNy!csc7H*IG1|KXiap~OJ+1-t~EY`MkebWL_p$qM_NE+MqD2w`^ z5OA@1sm&CbNo8yh$D9U9Ryc%}jDgG#n4xV;$7}@AvPJ(bKDDmh>BT4-A4?1T%x3zF zi*IrCZ9ifYia^VkRPKWHb!*!q+stiwZ@e49YXi`&xJ=MGc{R5$$r; zK6vl3oT?7DFiqbh@xhC9Zska&lD>;zdclkMsz4FC)VDW>$xgm|cjALX>plixB(?jT0KLO&449 zu%HJyAzi>;RX4Y1%9Q4?6mUSD^g2)DRUt=5TAP*tC{l(p;>EjD?l zbTn3T$rI;>;*%a>V=z@i2mmi`tl)EV7{4vlXBYDD_Ra{y`JhdCUtl|YNv4`G-VW%& zDOdR*2u$z=5YMd~AV;kME2wCnR}}DV8`O~iS%$?8EgbaB9s2zlKtUrn5T$&+0#Hyw zAH-FN`sm17myY+r2hfXjbo{qNSv!}4aF~5)t}!5*lZVo>*Xeg55u*6m7vf8;kkB)s zzwl>qXZ^tI?bwU-8dmV)(z*m!^kU7+3%&WA-xhY}7xhB@M3URbYyV#DV}a^@2eyYM ze61AOb&^GV3Zci?*Yg%&b0efE^}s&}pl5pB+mFKZrq+v6)%KTosl<_qVo)BSVfIy6 z$Nn$ZfNy~dLao{Qm3!0S!q(ZNk;p```~7hdupt`Y zxzQRGec-@`Q??PK@2Kch^#Pi8+)!sj`Q*3{q*Sd5XHYlK|9(}=m;a*kK@ophI_l|P zRm7XNWF1eV+CWemAfO{or?`I(@spRgY?vC(YG5IK7yfUY+N8)`^?_UM=(wCm22naPY%=v- zX9s~pEf`fF$B&|UKWfn*9cIw6ai{(=+g!3nW75v15o4$^Hc0>)?L98}Z$sXS3U15o zBUy_I6NZeYblyvA6e@EV?uNc-KWRNr9N$cRU;ms!=up~;g@O`Iuly|nv3C&gUCbY@ z&x4!ww6Rex6+P>-v6Y*M67sL@OtdAT)~(Q^U@!=RwGRB5T_AuMYVrx zg*r*_{vxdxw4AGt$a^m;><3zu@bY8F=3<+Sw7M=Z zE^BIO_1L(~T+z`cny$=1E_LuvkTrm&A6^TM{efo1M=>!$IS3O;vxS0?nP>i zSH21gs@+^?@XezDlM}iqE(vAfdAMSfXk5MN4T{^7#qMP%a#ap$Pe>@n3J@z z-@iq7Wh83#q&qh}{QxL0!dJkH`!$iw`|T30s^kuh_I7QD!amvN_fa!^tIAHX)8LAC zT-@p36$n022uD-C$69DaYDV2tmySR{)-Z8Os!%N(|J{hUDtCx7M}?l(y&sq%KVCdk zrm6V3UG`&b#OvJVH_hjUF9KFi-NL@F&$sN&&!Z(k`P-gyRGkT|E5lhs6p@R`?30#h zvCp=zZzqy0R@kO(hIZa=@-U#D>P8ox~luWY{rYt@lWON#lW*`5^DPcW+R=+ zLT`PxbU*--B9hvHtABR?L%8GUX1;q~28K-G=URTe+U~Kdx%7Ja`rMPAm#aEcpVIe`m_L-a0)gCin)9!D? zvmsFO^4G+L5DeD$yo%koL;47-mXacLuQGJ%ry>anzfh9;D&jrMNr(5CW3tq4CU#8n@UI||}%yJHW|J2_+-Fu*OGmSO?BeV+ujT#q@fV~5VS_H7f z#{2P)rvTi1dON{j^4dr7)Yty-=G!QHnZ7|!BJH=2X#CYEK1DsgdHh1cT!Xx-HO7O%1=uG`(V&&wvH{`OxCA+HJWiuQoxV=3tDCVGOvur%WBf zkU87{>TPJr;dnCmvpA^%XDaRh5DNar9CQ#o)*D{3n3lfRt_B`Hsz4{EVmH!VWvG}x z1cID*Eb9S*D3D+1(sll;`L`IuNvpI|z(Xv|8vCIXBhak;y0mkgv2|0qA}P8Un{UWO zO$z%A#1Z+^A>G{*4>a-H4Vn;fVOM1SdS3vpcjefZ4=G`Ib4K!m(%n;9U-&^8n^M7S zJ!Qg5hA3I-$g><=SX-2{>j{UWgVFm|#C8J|Nx}dfA(d8;R zGAs(IE5~+2=hPV_B+F)R^Gg#bHp-Y1tv762i<>ZigZ@o|04pqwS9@I|zfANQHl=>g zhj7KFQMsFRh`U+fCW=BgGk&NSA&MN)&2+6cm)@|E6yuAJL@al_CpC?-Z=?)too;w4 zUrg|^UlkXK)eIY$KtV272;RUaDSiQK(jVGCB!6qxVr%4eHrbE;S0V@x z3RV2#_iJqm0z4n70WS|&s+A);@TIv7$!N`rEo?~jDNeZye1&wG;Lb1k4%X$V=`IjF z|1=w>h-8o^Atg8Peq`=5*1D~@Xe*Xd0jw7`h~1*_6XVL4Vk28^|IJdnZ<7Zrpbg1Z zN)$heZs>G}3JV&F6}R$L zKZm``1%Fv|>Yr#GxkVDdmZB&3%pY<#UA;U%0<^0D8DF-_osizufpm(CO`x2suz;wj zbF<;l#_F+G(AR>HA=-W%v+C*n7{FY8Absua?%qEn@Ay=)rjFTf@KCNNyA~qP*74Sa zcEy^Sr4=j~;tLJEMhLDxI$7=n)+fe{u`1JAAOgguu^ss5l7~AL`60lCWWray)Cf7& zc^x!U=6?2iSf&OK#S*Oot~-aQ4=u7HB)N7A0;GijBw@%oeP--lU-gth1B8(@1cnzy zc4N&2fdaf*8AszaMDfw222O8~l|Kxnk0fDa!zTA@a%oXTc*#IG@>6q=(JK|D+IZ6h z*2<-I))J<-=D3VW>g{<&3S%-5CFTuV4eG;^PG_4MeM|1{Z6<~Map2itU#*M2_v(o? z&D^2w?r@d(?=k43Q8mDEc0QbRi#Em0PI{OF@7-uak@P?%!l{I561a3$Mc3ss184{cl4I0kB^TcJ}&V{0Rzf{A zdAM62E_Y@Gdp(+>hI)K!RFf81Y9blF|Hu^gzE8Tgzv*XIM*m6H|E)|ZCjt2agZ`G~ z+U4S>im%%{U^F-g2bNoo60Nn+o)=wa|C)N`Fq*lEwP+CYo`p7v$OuLm0jo^*QLL*uU%f0c3I_OLJh%?%|tax<+b->JArx|iejlm065IF`qq z_MKHLaaTqUrBP61Px)Wel_hzNrZt&!OvS!To7wL^LKOlgc_ZRF*d?3BmR$Ni%AL7b zq%K*ukO;>bZy|8e6gD}}9UyghYsXqN=oWct8&0N5H5M5jLgb9=Wmq(cCPDBmNYmT| zuGYw9dpbjc;r-V?lnop#R&$lqH@NAu*WmQL?q`HB<-=xJ*^ zA;_q6nY`>P{E(C;FimLBLlKWG_F&w{SNZU)Co-o$&vl?5)!!WM2VqY;pNa}+xf=eQ z=|_$3i~=i~ZdlltQbEM0$B9UvB=--yG6CmIAWcTzDZwlAC=zV&K;FC6(64|2v~*s1 zpJWG3VS%=EXFr<0V+wy(TeaBFnt$JZSW+Osp2&ayb~ZuO3Hch-TUcj-@fHw&U%az> z*%YP`5ijX6MyNizE^9CVe0`;&*Nh*2ime0HFhC^}5E)oo*w54G-0EPVB_XN64ICV? zyT11;xhc`-XwoOZH~5!bGQ94AY23CHAE>0f2G0r94pdYU+@-D{e?Ycik8%A~NlKMq@E!Q@~_ zGOcAp{_iA3b#2q65A%Y@v4e5?o^8+VTkrK)iE2p!?Xe9utcRAX((*xDUY@^B9$^lU z#ZJ=-g~!=ZDo<*4NoC+X*kdUQ}g$k7%Qr>Kzc^K zDqUtGh5}blNPrK%%18;ebQQ~1pq$Cgx1I@-hCOv{s!AvDx4BRzmg_rm}j3>XVxf8dT|{@#q@|2sk8?1iy}M=Hq*)}hsT5~HzZ$7D$wmk3*1J04fE56{S}3o6}>wWK!< zmo?7K+Tf`w;ioHJHM=?I!G2-tWw>?#`7|jr;7kGp#MR1K@#D!?rq8KLw9F3`IM1bg zZOoM7LBbOn&&VsH>Y;Tt^mm(wx@L_KC8%m?^0=3Y@p!v$_sh%UsnlmLOcOuMA=;Nt zMxRq4VHb`-qH5Z{xvae)`qI5Uvk1T$&V9G=w_m^YrYt|4>TL!`#9y188DV2d`;0?ER>Rai2%`htta?76Qa^q@090~BNv z3It~Jb9=u6i_9tDyp*vmLH9-41{1XD+I|VUJeNZfp>|F z=U8aAaQ^nmSmv;aLaR%1WJOr3>-QyQkzi$Wp>e5M z=s^JUC8Z?=3u@yHXinAEQ&e&m0YBmPgQNzuUOlHEAi7P zztns3_9{iBq$&2w-w#zYsfR6^VQGBP7nc3-)@W%%RSynKN3x@ohEb|Bj<#}t0_@j1 zxv0gj2z=zr#+>yvXwM844)9Gdp-M5x?KGS~WY*91Gta+NHDNg(Lkuo5Z3P90GpDzx z>V6TFq2s|7vG;y)f3^O+;udl~7NdmXaY~Cz6Vn~P$HP`4zEhzWu(#i$l_KYOX>|

    *iF!TvG@#hN)g5W|W^lWrrSx}g6fzx`cn2Cpw#pWbW4Q2h68ezRUDVBpYHk@D zDoG2a5|*B{1Ue(Mv)%B*q<+ng@hI|%T6@d%cJfNb4@TfNa?w-$KS~`8k!x_lJKUVe zmkury5>hA?sZj`ZwKxp^euOr2F!oa($o&R#fmoh@s-%~T0laWOYH~v6=B4@!Zj1L; zSr84-I~XWTpGxUVB`v%ziHDUiV#TF_wHEEGyKCID3S?gNBF4&o;>(7|3e;#Th#YGG z+`-q6&&oK}b$_PV?z!YFpvo2SR+^4P-jx8IPE4m+l+bKCP-j9~_yL`UEoWHrnRn|+ z!iT_YOxg!mL1qAjVwZ}X^>wz>SmUtj?j>dAO!QZP@<#{;NMPskC;&rRf2vy|Pt3@O7?Y)M&Sjl+qGImFOm+Wy|{5c;4 zL`S_%RJ>s;)Pxr?WO7t=nUUM;!LBO3c>BtwP?yUzVuk{(jO)T#>OuXo`C=Gmt_vnE zUgCc5&Ul6jd?|{6C%4phdl310gdwDD2m&7Sg@Q4~S7=+mV3!e}_c=bR- zh?tD0T}OM;!CogO?QsJvfq-ary;ccFUO)5Uh7V@nEO}x`;rF}f)|wz7kKSI7(1*F= zGIs!1jys3Sb&=&`@2D|n72g3IVFbt=i}x0`VL1xxQT>PPsM1vblHC%MzMwh2If_35t5 zcQ|ledT6I&jrba61|5`0x!fv$7g_U~&;$QWpNwj3BUc1-Z};1bzX7=#t zdwO2osGgB<8oU@z6csP_;_cvY2s~Wa?&$6ZEXzEK6w!bga~b>lP|{HBGIJs&FW~9U zZU27tv3vESUclRszV;e1_Af7A15QtK4}E8lfhYsJG;1JJCEe;$-OFq(x^(CJ~ZzC4k4Yc?&yhRSZUR>P>!pALwR<*Zf-Vgww)WcQ?^lLVag1M?D zt}+DzNHt2;yEHKZ2_9ITU8JzLonRr*8n&OmMUqcr)Hp@Tc{zem< zaWkVAG&3kN2DeC8(lIM_IW$;0<;eP?r)l0~1K~*co^0j7fRZ6p?MUBbZ{d+2 zMfv^{N6Kf-;rQsd7*8RD^1IAd&LLPRkWTxvdQESu)Ux=g$kbbJjjCe9C(VNV21{Iw zLKPp4xC7qSNEE5`(QQB(1Nbaui(s}qz&|_?aR54Zkong(`$lx}kCr}#(+B|uIzbFm z#nI13EN4@R_NfE8mw|%l@!K& zF<~JvNb?jT$GzSS>tgi9Ar|V=*0gG(ZG0(0fD;@#&O=R?oAh4Kw!}y*F9JdTvq;9u zZUXuX0FV&Mt+4(Ve2!LG0!TB67oF3sFAf;fS)u}uIAj2S(Do-ZXS_EWy!w^1fVI|J zxCFyI$V0VMtKyaQObAheGhV%z;M)2@mDv*AG;`!VBiw}qLOTp3LB~78^7o!I5GAhX zD5@u0_MdX~72pkx*_Kk8w?vY)@Uu`KVW6j=!Deeng*by@;O*X>luBkrU@dYh6^+{usbx8>X7yv zHfTuHhjBT}R2mdN#;0L^Zuf{&jRL1Zt^Y*hM9(g>pQ$KKthpg-{>@uDzHx7_5`JM% zScB^}W&^@M@^(pv^%BGI!ZW_9UKj?pDG2NWeFFB)6=V}^Avt$%rN6d^bpx&iGRJy- zaV@x$*3M3Jr+y%3Y!CgKX&TYsY=!DJy6c8I-pWh)t8M?M=C644Ag58<_e(kn2WERB zWeA!w*za^VejOBNl}5rFQ*|;k8>WlW8d64mp+5gv>`pMagQw##YKrLSj}!%;#)3wF zgXNSd^NmYE1fd^i?gQ`vyvxWe8#boK57kt)EB8l}CVF%|?xt>8ui=kxABA;$oU8(V z)Bo00OjjAFLW_G6ZheDoY1Ho=THNzbP`j-aV&#Zh&clbD4WuT(irTkq3zB;nblo0d|@-2!A+<2)RNe z5-G~*RXA|rL@rXPR$uL#I{-i4@Gxr4fHok9lt414&N-{_=)2y6VB4$F!kd~gy>-2W z5TRx>CCe{{+3VEA*jBoY1Grfze8$4*)A*^rcae+VCh7drFmp+SnEqN0$)^OHLp6;T z_x9pprNb>(HtY-8J5vSgPw1vXXa%!%<`QS>uQ^&Y)G{T%yJI-PEeG>`LD(AkKXz z<-Y^)q&6k7SYa4*7Hqu6Lxn@Os_R^}l2D4omqc$NV=cg&Zq8w@K$*|L#3aNH&$Mpz zY4?}p&wstbg)9eyT8GUbWmRQKw#q7^5d{U*LTKw>0iVH?lS63b3jJ1&17G$K;(<)% zZz6iXhX1amSa!`H#cJAY_SOs%2AM(@HU_^UuyxovvK`UZCB9; zu?C4*I6ToEsR4yPU?Vb*5MmS~>W{~XYIzk8D-qH+Ba?t!U*P*UcQQ{TEFR2j79^AEP|EbXNEXw5oCzCXwkg;$L z=E#?5)dA$gKKJA)U0E_Fv!LnD+)9(igz;su6{aa(;6 z$PY*ODNW@~HtNZU9-HA*jPS*PWyVc3%Eks-scT{A}|^W*jK1QuHeKK44+-5Pu59cDa1Yk>LA2XxUeFiC92) z5D*o~l%3_eVzh&Zv(Q##K>9~Jd9c>mg9(m7=FgNU%A8axJ`yT(T#HFo#Mnt<+qLAU zaBw}wOy}9VuJ56>V__xv8Je{1RBNI=*i@>G3!x64wLsH?uUejP`!D_u*QsS}yV6K( zyYC?Js}IcEvK#Gx=w-O~)d+T~AMh!EKv(|@1pEs7Sdr)J1xza9jJ#;Wbl0FH%xE7T)aOR?_w_rC!( zdhhg5mXM|Be`^HZ0TzFBAG3jP3Dj+rcl)Y2VHctD3qcDIc2k%VZngM~$|8xHExHlX zdSc`f(bTJ_Q0}l*gJCsbwG&NlfB`i==iWdqJpp=(XAy0m;BQG6U5p#eb5pnPHNGmm zZ8bGRLi2tmT8q1<{-G0N=TI*v89wox9|Mu$0I)EzJEVRjxkGDwirbF?_+D(IvgHYE+l^ZcS*Gdf8nfn8??&E0BlTzM1@5?k0y=eUG_n*{iBFPP<=#SwySnVBJgx60w z?a}Yw@ACDI+fID9Kl$d&sa!}Xs1X|A3goG3c&5lxd4{4nb}NMu?voe>n7UYdFI!PW z8Wve57R2EoEKy0(6)T7(gNEfrH7r63%u*v^yrsPr^HDXRw}DInYl5B#+#2C`Sagzu zJrA@-oF4|GECyNw;TTz}Kv7b<|5&tOne^0yJ>xDl4C4GspjqX*(OKq257bBxs^E(M z_(Ky+n~FWj2)HogrLhKen%Pi%Sz}XLDL?F9U$e1mT}AZ~u8B7UAE6Se-XrvFhX>nF z+wKd_t!7=`z&s(1eYm`%jZ`E?14b zQqQ)&mZt@rq1Vh7{ThLwtYC=Gl< zXQIcnn{*08u83_2)CYf*cVRq64ba5o(#b!hJN}dPi%>qD4X!|Z)0`uM=O0}^Cpdga zrfktcPg{8>=>Isn=BT{eK7ME0E$hklvc0TjuUfWkx0YRNX>GY>EiBz(d12XHuJ_v8 zU*Vklbbh$L_-KXna%!A@Cvs{(NmaJmM828@^+Zyul5;)08taA6oJ3^Nkw0`KYdst5 zyZ+59%A>3?@63)F5) zicW&boSphJ9Nrjg@{cc3UKb)@Nh>G`k5s@Oap;Id8p#4#cHrpQPG#tjNl zzsAnaakpF#vZ0c2P1=ZYtKYA52qqTY+FUs|ZBo@VRM1t5&wXk>vZN4|JaDjTgYq63 za*zkNDZo><5v_)L5F905861g9JZh8io*BSO9vZ^~)Oc^&>Y?rEehHX*m=0Zx&iwt=3zObG3d>=;O(Y~`smqlF%eS1!zdp)*_kbx{JMBMFB#$NdGqC@_m9M5z7!xov z;DFIJtb*5OSnHI|C5oj(z;g~8@k1M?b7F#Zwj+VROl75A)q{d8*mM6ELR~eZp$1X> zvu{yJOg0}W#?gmszd&#A%sTg(n+a7~wXZ6$VfhRBylN~tZe99Sz65c)6E-}m=%ir$ z1;Ygh=A7AA-%t{2fZBomPqCi*aIZDc2(o1=pFTPAOJ|zN4wPi6Fr<&btE@|Drkb_E z2vSf|R?odkW{?A07%~Y~{73s8z3RfnHPcRUf>iuBW=b+dw-Mi0+2eS@J_>60fdH)x za@{yDtW|)TUR7 z->h2bsn|OO`c{@Ob@*`x{)

    ?Y2Pw&y8v~{C7MLJC68pP^tG8!aMwkS}dNaw=`Op z{~3OD{#Qr8HZ=SRhsB~*`>QmUl)aGyN@+*Lm5(Jet^~%!;Bu-b{BzN)J6?+K2yY)s zzM>R}Ql46~issQc(bRbd`}`FR_N;h;@Qb*RkU3g-Z;w=5LcB%H)K|B1Yt3arG!l_B zBQ#WsIXoi;N)uaD^=sQLnfGvIY5&cc7yX@(8l=yIvi1H7$f11NlecMZXppXW0mF6V zXJNB-^uIemE-65*KorBZ=OLU`t`6e^xQdwd$P#oQNfdoL(f)^Qk_%zS5lTv9 zF%d{<26TAc>f(@DC=|zIq?KH+j~?8O9!uh-0Yf%gC%Yy?14biL0wf=TKBN*mr3S2k zn|yo?C6t{{{r&wwc!s8Cv=YLZ4WM~@xYr|jpVH;e(+QfgMm<$Mq7TN0yHW>>mw{iK zP!oS)&t3cK7c7R?GO!W{x}xL@d~)?`r|vGmF72cfX?N(L{|)-|SM^-7vTvfq^hapw zToRIBLDKh5NEctO>KXPJw!%L44%aPMVhNJTRUOvWvdzW+%WVhT53mU3bgGdG?N&WQ z({v>5UEJ$<&ans-Eq%tXh`}&<lq#nSG}<7d2sjM6O{q_Pz23=qYDe> z?E{|kM{4gV1QaD#_Bkyvy!YquFc3V5^g=WBSh#Z0$+BA;$k1cV!x#G9Xvk)NIF9~N z8kN&eG*gGrsB>c|VFI85s60LKA*VLY`m9qr_UvPhO@<&|zQZ$yp%J_acDy;`g?BzZ z5jxd#9h2i#l@C>Alo|q#=x z4CAOheA=ZQ$!D2*hzEXenqYdNtU7tP<@}`KX919^~EC2@_Wx9*>_fkb7&Cc` zB{bt@=hhD)#0`F5FSY||&tHGr7$DX;d>%rUI~G}1l&!$yT@hr^E`b`g@ua`_Xqa!B zT3Pp+daALNM`KX}ViS18x83fDg3pO;5Ggm;?rYclcJsa0qg>tGxO2zBXl}+yj2R7_ z|5u%)kC7TxeMw)r&+Hd5EwPwso~0RK9b;qP7S)%FKm@a*C47h3 zvf^Aqc8s&~;s;BXkF6Fb;||Ad8bnM%xC;=C&AX2~XhVN$5RQ7Da})^$__$yoQr=>H zh(x#iN=uEuAT)Gj?{T=P9c?bD5ucV3I5b=wnT~O*$!G8tf4|)bde#Xmi63nnKzI?A zPt&9RRQ8|pAO*W9TIpy^DX@gGZ{WwkO3Q6Akp zGe$kV><>VWcy@-3OFp&W-Tkl%B7T4|*5%flpo?^o$?l7cI(=-+4ekLi-Re0ILEF8C z#1is?wIDn#=jtA21`(iMiIIS{Ne89=K=q6I^ce87Syxd>kTMUKEVr|7Giq8++;-a+ zwW3369HOq;BVdAs8GxA((s$J6)#*6tJoOL;JA4(KTq2(Asf3WW2nZH&=B)?6H4W$6 z)L>?TBnorca+|nl{=9?hdvJNbz4ZBcp}zga5gER>IqhG14vH!GfEZG@iT^w2T-r_+ zU?7I)=jZ?V^QW|wR>ygRxE@tqre!(uvByrp55~3qN^?}&zc0Oob!Z(y(|(7Bd&7H@ zo=_;~u0xq9%qHhA^*Ku6u#PiL!#NbXLm;|pwOB<=sX93SYkqwi0ir!chK{KIH+&8l zXVvJJ1boqyfn7H_Be&Yu3^PnJY?sm|h1vW?*_2nm#is zMIXnd&SE2z_rfP%6-y8r(Zm|hUP@l4#yyWLayIStJwxRwGrCUy@e>Li0w$CX|CV}Q zJ)H)x#hu0QC4hxu#mt6WROo%?%Y~`odeFj*WNSh@;*EDLMo9q5wLlEam?JQ*;3964 z0pknIkcizCkE?s_{9*rw3ut4HkXJ+6d)?aL|J!QOuhj)OKGrUH$->;Y4ql&N?f&*2}X6}Q~|u$eE147bLS z2t7hbu1434yq~1&Y%CPQ&>?1$SZc^{S#rJ#4wpHH3yi*aSBIL=-rf$|0(oSJS-zMc z^R0xM6efF~_SzpQC_u5_dnHu9a!mXIEX=4WdG8J1O-K<7%fLQe-FFtzSXYs){9JLV z5GQ(7i?&Fd@6HO_Q;CKkzInID5`*md6-|UR)3t#1E#uKOXlqxU`cIOVH^_s4gMw2_ z#SD``P*vnt>GmR~S+X;a4fSKdqjf3mn;oaur1_agLZ%F~gA==#BBsU|$$^0}Ji2_o zR`@tWA$dY%m>>)EeeoImA37NWu93}q_sl>g(!6q13;dj{R{THQWz|5pHg0pt@aY3J z6d}ejG^w<%uW;r`R-9#$jDiBpf`H2^;&&DEJIelqpGU^OA7L0t#{)clEz6v=x7he< z&I_3*|CHKa7@4c-dK_9m`J^pGRVREP=sZgY*F80$@(c3q#5!oK4ZPgRr7LIYreJzI zDPr0@EdNRw^?4-sMhF=r3W|s{_FxocJWgkJ4g7t03aZuhf4n^hk=$Uw@)3!0PEMcp zG@}CUAN;u*eDRh}aU(x-zMlFxYrWEbvv5p)4xt^OiW|iA_6k#E*1#u*= z`L100_qhjDPeiSfR#Nm~$=4AXkq%)pmS{4qVT*pQ$A&np|I9*np&6<>`Wq>JBNgMf zeRwkb6I;L7smHJAEJiuwMpLE{TV1yC1GD9X8oQ5~tpQ>$q#3r=3-YnI@W07RkgH6Q z?27x93XRFBmmaL1@I0hydk8|uidUSe4lRr!zxr#;ZO)!6wp0Q+MSVG=s#9b$9kQ!! z2$aY;H$qKxp|UvEUxAI(-eh4({_n6SR6NM}t5$?B8!{-uFXE|rTR)1CptZetGB3B8 zquK?El8@gNC%n`abu~v|4#5-=cmF=*m2>b?J>6%w}|7( zA2w?~Nt75$_zAvGPpRCGW-K?J&NLP5=X$;z^>vd+doygy^5_N()3vKz=Cla0pAEDe554iZ>_IQpG zs}iiFh|%_k&$b66dtOa?h9g8EWOPLu^mm!nu*N`vA%_{1PoIi(?1dY>EjD} zgAk&+GuM*w;pOnQ`je?;c_aG(^K1}bY?BsBVMoh{Ax%Zz!pUB;X$OkAqq3!uqw88f84>C(tjMDcdH_Clrl`Mh7#8>Tt zdFsxE>z>44@%z9r8@f%pK$?Bae%3~$;6doEcpsB1<;w^eirk?i)8$IR(nuz}d+u$cQV?)Gy16V}=*Mmsh}99AD*4K;}`#Uk4H6Vh@-O8Bi1gecH6o+DxMZqCG6 zVELp*3PHG}GqVo(gs56W>?`Ko!+kxK=Eg)~u!W8xPeCtxd&qw&AK_{LQ<3lxEZfD} z_GM;ZY|f5>U&7N%U>*BX6*EeJ{aC3j{QdJsVBNxD0t|TY5I(h$U%!=E+b;2Y3r(bQ z9LkZ8*;SR1$pd+-_|(H2rn`32EU<4&p$gtgXhO{zwdDH`G9})4zH?*1!xzBIR@{rr%eiV5H3;T?1SCHv zItuk?NuMX+#GphDjc=h6IFS=;Mtvs|m}7I%)SC)&)6PNm==4Fb$nhmkW9SZq`jj7$ zj4HoxC@{2e2gMUIn?HCmu*g6MzLwaHX~p^YQ8*BYLB0#WXGvw(5G%a_&95CV zY4T8~36^lP5$?-d4RQr}iM_v0N?{1s#A+?rQ`TSEJm+^<bk##z#$K+m3giud(t@05ED_a_&7rJMU6hA$0f8|aa!L^@q5s_7f-iOr0NA* z+9UMtd)9cG57|}(Rq zveC>vj!fUHQRt`UB+XyN@c{govHZ_a{=P_SsRB;3X%vW*>@-Yk;x416b!K7KxmLYY zuec_Jj;6rQgO{{dbe`V#SDw29+{)oKgbYAHzA+^7qD)hs=i5N=O%YBH6;FGGc&{RX z7*UMEUh-W1QgZ);31rhfg4|t-nPL+1;d-#^2P8l{Ybv}MCnwqN&daFIO}GuutU+0h z5IiqXqd{zi87Ec3-`~}zJHD6tg_$1^)|H{15&wO=lU%ogvSe|a4M|8aFE7HY6tx|5 z1#>QCW6#}*ZS8SNid4aGf9tcR>^nE5_r4HLuG6}(wZ&z?45WsWfcf*;)oK(9Cdtzq zbH6^48o{f)iC1DD$U_8EBWonZtdQw{4fqc7u1kq&|I%uU!37k?$fmDf_=gWwPCIW3 zB8fAA%&0%kI?!lJ4lwT-3loCkK`Zzp?9znOWJ!EqUP;VxM0;1-^P9_!0edE3s~m`5 z7_GAQy)`RXYxh0{)()QtlI~tPcR&xX%~brKABCh`$Bu#@lV8kXW=hj&ZLa6LpFLS@ z@@9M>BJq+7U=UX}y-#yL0VH6XzyFp1zQb2_u(2oM;*T3xz6qWGLOOn(5*>a}B7pBO zQEE^K{dLS_+bgcdoAoY`B9S_lJqTl8>8Y0Fm!)L19$L9h0ON}n*c=d}hg6@vhp6_n z`gi{J5jnYeu!DblyTh2EtmydyRV#f<1T(Nbu0W}Yhx=a3N;7Z_K}$PR3ab3No>N3Q^ZV7|b3B4- zy~mSV;hgDQQh5A~Kaah7;fo*_4~#JYdfFhs7j*lzPr@;`CrE|-@}8G8Url~Bk#Xz+ zJ0~w%9}VGN4F0w8w#%xza3os(1zvyfeqB>jlc$Tzdf5I#ymM~keqvy>`I;~CT~Qu( ztnYlr$MwKbQuTTG&O_bRbEv|x<14zf-NDSN`)^Qgl|P53p7#ze zD)027QE&GRG>zM&=L~B;^s|UTmA9GDgqMt}1pn~G*4AmzOYcqQcM)F1Xej^@BN>@Z zVk0MZxU4ai=k(|ph8Xxmb!}O? zx$w`8y6H!!_vx5S=^ojO_DxH_e@7AIFcSwkL}fU@@+zk(%c;eFKXAsQ_QllP+&upJ z79+Y}uCzA}%6%G;9%N#1q9@|<^HpV zf!$X^fL#BvMJH@kY*{XMPPpls*{9Nl^XCz5F=9gZY8XDM`KGzsq(ozN4tR9 zj!O4a)o)|NMB)FOMl1VvEJl#(aP4>g?J*p-q^JMe$?BHNm<0SVPCu|A^?Lo2yES!P z54qfARGkqA!}$|mh&_J}_nw=aIIq#jyZ!hdj9pYeVEUGuUVnp}%(PKX+~XI={>gU- z+nBF;}oZu>MjC(qcCxy6^+#da2^CylfwF=^Id=Wc);VSO(PQgyi!I{mfed$#zQs| z++)><91?q$uAD*gUy?M{7yMna1DjjyXy6nO!^50IkwKS|CVbNU^87$(<5n^A|DZrl zR3%+9>4lWgX9vxlzJJvl6ANntT{nHpO;@Iq{q|9R7~g7eWve9v)J8U$RS6{Lw5pTd zaHQW4^2rni`VMFPKdLH*FyDswZ*6Q)w+J0w3;w8*L9Fmz3!Lw>$yDa29)Oeh_z*6B z3x`Ij{Acn1CgK&<6K!8$x(Gi8ezay3j>&)3W|->Lk6??w&PitpB4ec;1rl4^v#jzU z;`B7GgEg$WACD9!jZ_Oc&LkxgAy$M&OnbUNFRE9ah^RA&u2%dWoXdh41;&Vh z@94Grauv z-jx<1u|2UZa6-+nF)1yC#Sm8OWS9QEQ`td1w^L=mvKZc~LksVuCNMk2G_HiK(`97E z7UT*Ni}(qW0k@bvi|qH|8r=i7+1ivVWQL0Q+7^L@K3Xy&sUm6wXImAGDMnTCce23L zG+vkC!n|D;^>43PiZ#hWFbL?WhCWF^n@8*Y$_s z>hB!W^m|+CBRX6NG4f$KeBFdjp-hG2(!pynu^o$IiNj8LCw32iUQ#F>?CX%xjaivb zNf<^6%pBja;jKL**tRvr#>UoriSujrJnq-Sv6hbi{#xtds~M zi?K_A^ZWN0(bBssR^0Demc?%MtE?x5qB+y%AKMd#{s4e!oAl|SjeYhHrOe+6%dHLH z%W(m7t?NOfPLqV+f+L$KR$`AtUO{NhVZ6)WYUx}ZcwjuV>>TP`y(v$MTsZ*fuh}5d zkb_C(*ye%h27bwMNaoh28tzD?Uw95Pk%;=f%tSBO2xa{{4u4?{g3M@R*8VaNR$$O@__}Q6)+y$V2|e^{Ugn;%^Arf~&K0@*5@$WA28+ z$F2W%4_<)KTHTN0ENjV7Z&Ig6 zElVqA<`DE__mO?Tc7{xVb%$*2&XnhL-31B#t(7xo?F{t5f4{|~g}v+L=~Ujmhi~=1oYZojjIRd}jXR@qKEpgjY+x1SW9bOa_-rP5A$?GZ6 zQ%2~D2R*jV*}Deat8bEaJ=9 z1j`FlWWCr3A$W|ZgD=ytl$DA?`X@Cwv@@RV)P`gTD(DY9P!4;$Iyo`(I=~h|mn*9c zN8x2M1R%O$En;D|L%`z9Nc3zpW7c*Yd%?WgXFdQr)wi?=5TgU{bHKCGB0*rA6A9%n zyWFJ#eDvFS<|27@R-Gl@6?emXY|Nii_<0EV+A7&okyDcY_*q?h=yl4^Z%O3saZxvy1`03!Q$+pP9;i9@ji zTB<&;r`^@Glk-o~la3&9~pR`e-B+pGohschM$#iVa|Eajtg`T%93olKqsLV5B4) z^_`AI!nq*YtF-eu`<7NM^27OkO4j&C*?^zCC zDuK_(TEaV=t4%T_GFgxQH&p!jk2rq=078ZnLG1-J)+zs&_1f`%7k67kAs>k-}SOo+0E=N!9yfWhi$Q-X>K-dK1$ZCeNg*UIOOo{z`lTNt%pcdjE;e9OcV2E1>G6iX zu?d^Nti=DPw2oMxHQtCkLinMQg>(h^m69u5+M(s0S>oqs+)A6yR=DB-L0JdE@Qv$p zFZ(Xb*ImTos<)d`eKLl8`S|H_;_s%dsz$5HJ3!QQA{AV#Sq%fcfFiC-9P~}8g-7kS zuNY|}K$eEWm@BRM`kwq?9(qVwPl4$Jjk@-m5XTKZtR3KY+c49F0#Vsb2yRO@&EHB8NR0~5;bwrS$*;C3(9yi+z}9CD^a*FxItG(^2egG6_(DJJ@c#Ecl9g$tSDx} zJwe-sMLS-<^UXmsPC&>*HjbQlwJLop)37+;zK;%aPT1e6&^VwcbA;2*yiH&--7Cb{ zPRW+EDw**r*afg0GUDg?Ljb0FPW+=K7<{Bo_OF|F2aW90^JMj#3vhOSSw+U{u?ilS z>g8BnVjHsx`!o9@pKBdD8J`B@;W$^Vih-jt4a?n&YI30Be_G4|Z)EoV9qROVV(JuW z7WD8}Q88011T50j@gkG!f|KsIRt^dfAJ`g|Ed}^DIWtGiG#MV9Q*m#r=fEc1N94!- zX3KiUN!}0oPLm<68)SIwaNaKDU9LCl^6)x8zu!iv(q2bsPEbN&6qp*E)>LqxX|%BA{`^ymeefviJfR>T!ugZCRld_~lIC2=Y#R3_{cnxop?hV__ISxfn$Vmm92Qhg z6Vy=S?EAuLx9&CDRd&&2tmraW--4ODA-eNatlz2uXsE}nxJlBCk7Kbil@!Smih}1+P2<1rZXnx zi66RvEN;Ml4TH^+W=%p+I3U0-cx#=8Hx?n(vBF6+gBhmJZqdP!Dfk}SIq`xNvu2ME4hp5;#EawQy-b&g)n{?z4QRHw;0D(#k{{)#iFfecneFZToI(4p`zcmTPUv zDVnkKE)?=1<%9**h}CL_Sw_4I%{5Rcll(iFjJ%lE^a5Ul-@hr2P`)~=U;nKS2j-zI zabJ9CU8R_Bsv$k&+_(_-S4nwlRrGVu59{h*@++jn&?cn5M%ypVh|uZN>7G$@xf3$$ zfG!>6iATlAV9frb+^%%`dy7yssQP^`b#DC;R^y2w?Ntn)!Fk=1mt0@I46T@a5;~OwGtR5d}PwFG>~u;Tc!8d z%bz>DN0Io|_O(S+9P<({ASgl%^0eXzI|w|n{L*0LjLtlC8n5r3IpPY$0!J;6?q`3& z`D(pCqMuFXkou&8Df>i;%{&F?k*(H|J3NmscV;0$lLuTF)q}fy&S6a?ZcbL+dykP` zlX-6FULnY@@g{9{j9mOOPmSMfsLIwd#zz{J!T_Pwf=XD#me0=PnYeR zI<fuW*)4Z%%B#ef+%kmFQ<{QimVo{;i#wL#?HY$!3eyJj;ScDp&iFoM8~jOQL}!{WpR~1y}61(6cC_Ue4);!YA!XcJ|Nsi!RUL#4$Q3 zZClSNjC6z-meJnLRUlGx47@MWQK*#BqmO*fdnH`=>m5DyWC(CU&foXA??s{nkjy`G z>i}l16s8(hJ|3$VEpl4-fbcZx-7@PnDdS?m{n=>G9j}yff%5obrR%4Nu{n z%D!)Y`IbL}>1ebF>aa7A0qa&1_&t|%1da$rXQ1`VvJ~5N`$;R3a(^ih+AYQRWN?PgFhS)+<&IDnlt+V?;< zph5O&h)J5wo`nnBBqRcQ=DPqj7nBytJ*rp_0#*|e<8S#eoO&5G_D)LXfmIZjQbZsP zUSZPS2Ds71W`QoMxw)B9{7)HHv82Jr{JgwIV0{DU)r-`Fa7ZWx2a{RJpf1{($w-@L zOD2BKSb&Lz^b3P?LyEJ`I;~g5!DHPI789*ietS;4NEpranrB-fLlKq(SQWm$x|I@3rBGtpm6DT8rinxzc=`ohSV# zaXs}r00&k$-)%@HEHv}gH?T+D_jrPZm^b2j8xf#j1^>A?^YI*6 zEpgFQsieVO^u%wxQstUNVa+geAESpAiO@y?B(?vG!hvR^*X#@wTt`Eo#{+zqHY2I@ zC-CzwnUWdc@=BxZ4n7ER5V9@@(9ARZkRpae{X}?^AaWbv9t~NOPk?WDHa)<B zQns{VTyoL44!LGhk^Gsije$!qlP`ic8jP}lip`m?wjWkE{AvO+h6smM2sZf0)%P^R z#6LP$YF#y@9zI|f6(N7v;JUC+a5$k zFH~5EOL2xC1G3%iN3Zrol(T|k;t#OQ zxdIV9`zCF868=Lq0~xqRkZ;&z&jjQx?6Fysi6==2jCraq^|-N`vii;KPXk!zUV zBwzPFE612CBcMCh4A&#PMLOd7dI!iW)&^1BF2H_@I~#bF{bRwucSc?Q>YN})n(z!Jc0U$hYS;3pz3AA^$v*< zPGnBSJJs|5_){wbK99mfk?Ru)W&}5n86|r;7}N8_y~w}3;Oumr*=E?EbESq*%{lOs zBO#1-BqVmMXjjf3N-!_Paur7RZvZY8AauaJZCI3vJp@Qp>o@a&y(0mT3XqO+hLKaA z^DE4$Zq9!0@EZKFM-@|+VpAIU=enRzFzSXFsrIIoeo$mE{i3TQYKZ+!dnw@u;RP1K zB**z`u~_uFJ#`O`lk=-cjnA{K{x|G-wl)nUo7|zr*@zgUmS5!cBRo<~94jL-X4`0Y z+;NXP^;tpH5iXo;X>L}^+*O`@QKtVS1~Lltm16L;>OhGsd>kpvBGKHVTKbI(kB*W@ z3pc0Py*BizxwG@QGdgU{zq`Bp<@Vfi$v9vAYVVB^&UY8iUMgWj{iuZp?AIS6WlXBb z0lk_Nq11V*UQ)1FWq3$vhh67%Eh|gGEc3Q<3NVv4rptNjMZCFfd^20n%-|@8|03v6((%*@%f%XI6Fk0_yg& zQEE0U&M#!R5a}h!G57CBH-4hym};l)HTe7lm_Z+r5oTfwn2nZvhmp6!lVxdt zSe~qM5Gc!HFnDHQ3*<7A=j`+!v1|WGn8Y{^^sC2lboTm&K?Gw&V3z73TnZj^E{jeeRsavJ6di0+#Z*hzH5(6zpaZW_$gTME zc`~rH&06g34b5Kd4qlTQ4+Wt+55GJ8kG+=tfzdQFV*J(2(E)%G&%pticzWv99B z0t{V%fETI!aI^5`GI)aiCDA#cUnrX6;@^*66TJ?Huhwp(Zk|sc^Sj|bIG2c(&PEf= zpWaY!6uBCfs2rSySW<~X*u&WnSnv%Kz{^kGh(icrW&4Ud2ffE=_`b6#RJ(~9NYKL# zX~?RX3i}(=vPFG06?RQ{;7e5uJoTJfigzf{5vSfl;%my(Stu}8l4m7AzYrWu`9Kd_ ztY40Rj0lUKVX{!mhRm-gmbXi_<25F|9uZ~wIu>o{Kgcj*4}t&^#o%5q-<_ceJh>0> z75JLLoEPY+DPmurTqS5IoyLUa35 z?XeGw(izD^{fRw-oswp$sc*>uK$gjJv>A^1_zGMgQxKSUn{gJkr)IGQVf^J@147)pD05auA{Bl;&%qk_h(KG@n)t>o!! z*QbW;nZR-^Tc;49(V_aq_naN#8~)b=R41M4Wcdp#QNHuNLw< zsFKI{SKe$lk6RLj0fW765w!9e7aIqMc%?%T!6tv#KZrFrk>zj)z&XBDms>gp+ z)8K8rAcWzpVpy=antopE^q=?dZfe@jlg4KXcQr;n3$cO14uiA$q(2(#QluhSN>_#A z8d!4Hl)2^IP>3lQe6%(gZ!07s{YjUiw^2%@MG-1?8zS7&x*j-mr#RH%8AN(z4qQn= zXA1JtN}(~_U(rsEhJC|aTfMvywp>Av2s$7U3P98ab@&Vb`}J{d;2LSTaMYHv`Hr+22Tk- zbZ{(p{V!+RRKF^m?;F!WfM7N(I(mD13zF?@&LQsSy8$Z9-Ht%_$S+;ZPvP~VXj|C^ zfG`0R0YGC3$l`>!hG%*_%EyIU;$l{7CHxz2*X{|qM1$|0Uyi%87bhk#kG>mx3_Q>( zyr5P~R_temS9!qJ(yN=t!ou?O%q5n>A*?rIANuo+BVN1ab4jk+D{6@T8A(wA#1WPs zh8wnB_cXXqe$&Sd9&!HTfsh-@!`sN&2$Q^6$rVSi!s8|YGlng-A-296BpJAp{TehoD|PApDtHGHp!Ns=0=Eb8N(_x-=@8yV;hsC4xZqNF$3PpTNWR*236cm4ton2SPj7xp|!79Vp znKw<|ui&c)72o0#LAb98>hGHvsg(7;o8WYt@1)|To7P$EV{rJ2!LypRT;9U;M=66BwlNESr9?s_HwfJ)UF)ZBTVUFtid~o z`-O{IpbkF#$G15Biv%-B1Llk^6YIYx?B=JIwY9^C_ zd*h5Q2!qz`?NK+AgNmZ$2iwZNF}1 zD9}4F)8)-^EwC@JKUfUD&ysZ0*j2_`nz9b#I=nYIe>5+J-e#EIWsF!!CBDwxjOQE@Y8a64PCET!nn%_zbW=+C zglva+uYfKDJ%U3)XFyRhzppm?>96w({}ia>;PCN1+ku^*6Kcjpp!w;qbf|(l zzB9SI3pP(s?)%tCUmu@aK)+`rj0a6ECSMfMAr8mSJ{5K!FM}+ftdglJea`LLhIw;S z1r)(&P&y)zqp77>`K}iCa4og-+`;GfZ(zeU8L|JH(dQ?GvXD97P;K=L4l0l8t!hpD z#F{@&9>wCD$Aeec^4R%pPHh6Kh47@kDkMrFbkp+&6B83iR6vll#kbqrKgoepo1lIT zz`1m7l!o|&H&13spRsVrc_S|zmIZ5M$gUF3_U%m{JZSUaRiEFymUofeAv1KvphNGCr~=V$x# zi{r76!^r*t6!fmyzrY;&=;r? z?M@vx_#4HTiAVTP$Ty=|dE7CeAQfZ^>-U2iX(Gjn*#+MkWk@i7HfpzFDbJv@>CL_i z_%b+u)|Jv4W570SyaKBVAsaUCViK1aDGXH@OZUv|By)w6Gf@Z&l2ReKEQxjt`d+e( zb)&2^QxFeqcW9h|Xes@_H(gK1&bf=1yMV@XH!-1BtNXAt-vtzOK&QgdxP1H%hy~4@ z97C78hWI%VB7D}ZUK%bEHrw}A|Ch6k{>gwH9zX{J9Uz(cr+8~Meac6euZVXi2D+xT zZkP;_(ME2yZaDi?^JO-sCN=O04sIxBJ+O2!fWw>PUbrW)>>M@*nn^N97!oetlurB2H5fJQJtCH!xM}oTkK?|5n$S=B*zezP1 z#IQ&*8wylK2f~!VS`eO3O1e~nti2R#KMzWE&1iyaYIsHz_6eH-`Cx%nKlGe%iUZcW z9>3&8e(s5Fyp_Ge>oMy0_4IvcVPQ-Q z_Db2k1Ct0Kx4w1mv>v2+oy9CcfNUpSkmzZ+00@GXO@<)-&W>KT%jm3dC;JLPS(4wM zIA3wHFrOhE#X+J6a7C! zC}$D)M`c@+1Vp#;!_*sp?RQE2B_)QasM!H}L%1|oR0{@;L6;~~UroinzZ<7RF`*-Q-R$W7|VDJa+o z(Qcn;1&inGp-2hga-N9MOLTe}2vjjPbG&}PyZ({qe?L4uJ!QbZZYzow1G1%(Oz`0f zhLbl^=9b+IF9dg-Jy*(@YuPBMv_9)Snh}eKvVoS|?bz-mosn1D;n4(-o2)VxRCz=^ zk54yiH~&&3h&oPNwOZE?qL}6#`9aj$$;p?t$%n2){noG-*41%j6pkyxoY78Giz` zaV_x1m>2n0vwBW_DB6{^g2gYk|Kf7XVyI!gFMc_?pBfLrFy*_0rpeS8q`(d%{O^wmtmKr9A&Q4uR-05RU-b*8#Iac6^bqi`du z<{>~&x)iEd@E~GpZSZ$<@Div>!FAjB02FPiNp%bPp;^R|96jz4R-YZaV%+gFf3N8P z!4HgM33ujf2^1gDCWM9|z{>E@^hG$hHgc=&$o8YPLVJLlo71es4k+_l6s*!)hBaapv98k?P&A#9aX3H;! z<_(=2X!7OtDc80#7BM{lz0MV|@8Cs6)bg?&K9(^Ke z8i7gNXNVvt6@#lWQA~n-iWOBf5EtNN{^R?b$brn_4-ze6k$IZifA(rp@M#FLNlSzm zBB$4WA>=ku5&tzAVmRUYz~_^xgk{tcdw*+h|LL~Zq!;tOT|dr@(kv7WQ=9OjvYK~r zmd3vR1>C9zR{z7=mR4t|=N7F0A#P&R!RIp~(U;#hUGso0*p7~+w`JGI0+7Po+e&vb zb*L`^Dyd6ybTjdUS&ed{|J+I4>P)TLe_0giZn1tMgJEy}k)V7Y_n@VK)v$F|42wI+ z0&*GE5ss+$ntuqDeWO8E8ECau%vZa`&{{dZ_S0Xz9Ua#Cz3;&&WrkjCymM=IhnJ6c zGNmcsj!~Kd)oFbrK_&lsm_Mc~)R_~Fts9xUb(gvv#hUI39=J%K^~y!xQ!s4OQ%Vk$ zuAn!d`Hjct9J|E#9jdF}?Y~(ooZJOAZcU^4?zOt^-?C!Ii9}_b zNL4am=nK<=lOjouRwm|YCiwnM11sDW5*EDwP$t45Ef(PD``@g3Gr{2MSi-(_5d!G# z&2UPwJfE}`ygl;&L<|46!(Qa=K4r&9kE*AuG8eZ-kplFl&t>+ zUU8kk; z$u-1^2u|yr6?jSa?JtXkPX@fYMIHr~*k+Xw>Jv0CsR4?R-~Okfcu-QUr7=#}qQj~e zbq(1}NigD+d0fK^+%W_o{`kYS07?Q=sH$U)V2HgEU(6SMBwif~#-0*d8;XuNbC)u- z8eA{Zdj)m>ILm|2jR|dOEX>P|;uVknon_(sbct9`u`u+mT$pwxuD#BvLOUQ^8q|D_ z(w+IAKp78Oeu*E1sHrxCRbvMfKPHi$JP4;R|Hsi;hE=t#QFzncjdXWPN|$tZgOtKS zy1ToPZjf$}ZV-?TL6HV&>CQX3{y#pRwbz>Si!t7z=9#U~il_udaeTA<%h3E~L$2#r zH1^qF5J(T6HNkQmYZ)c`6uM-chl4}!%&TlX09|8JQoGnHMY3AJf7+C7pOJN34%3uK z=;V$RD@NH}fbC=7vQDK8*#c#yI7;4 z*oOYttPgsP85_+?%Zt0m(d1#^2-mIzb7$>JfQ#Xbsn$lDOUl&zDdSy_)VdxSXRl%A zkDt+)!VnL&H&+o%Gtx$*v?(^TC>x3oi^DGYk>ECTXVU@W+MDPrgxpC`1F~+8pg45_ z{$_fxXifi|IZO5j8TWB!_FJKcSPv&zI$arhX?5dB2@_|EJYl-uqlBmFiOxPlUVPwA!62d^$fn$|#WyGyT9%qaO>= zS`N{g9FAs^kLtzVsmxx&W*x#JB4Nc+-YD$$An;F|w-K0~DLwv9r`ob zmg`0o7*}fp+~*lc;{p_5E0ilJLs`~M+NBUexTW{&0alHk-~x*mxsPZ_sJJN%|1>;{ zQT-t7?*5amJ6o&eY=d;{`?7EAa6YwGkNBcV7mLtzxw+(;69gk z&xIBrt!s){5C@2mwRP%#y#0&FE|R504v?JuB;WL_f7@m5ii~~osMQ{`{5{n$j{$F> zI4pO!Y@uGhF)t_Gqq9$G0Fjl>!fd~!&Lq->icq7i!wV=sUj|B(ka9#%7f!Iw*rmSSOcmn;c0iQOc4mxQkJnDnjVOXCUp+(7zN*~ z$kV<`hw6VYOOA#yWj3S+?B7^Y{e8;9HY79yzF+SthkRIQ`G(oG)79gB1F#0Z=i5lv z=BK?=zQ@jbU#iCpT-63!qKo^$pwhRA5gNjYBQS&~y5b!V#s?NVW}7qmBk$z2kT<;9 zjPXs2YR3H;$NY|k6;0^qBeCk%B>%2U6cay$!Jwl*_4GA=Bu5~K%V#xaO=aL3t%MOq zNOvV$R%CYxFiG;6R>XnYI`nu2@MAKf)Y=nZUqe0h`l8^aFq%`&pDc}$Rf+)!7mAjQ z)lihO$Zc*pG{$;rLZ~Bp+x&68)Dg{(NUuV47T0m;pAWV7;LL@D;`|P1sZ*|i8>#s!{kXEUw6wO? zB4uo@V%NnoOfVi=btIXW*6)n=0i?naM0-~L{L!G_wR*a$T}k_;K+kID>zrKaT%c_N z#@7nNM~n+qyfb8E7luVzzMXVy%07KqhprnS8H&{{j1!7+BKEmrO2HeGk{aX15TI!- z;|xoX?)sJaWsFu+r&$#nD>`TakL?tk#}`A6XqQjchF46Do}9nVi@)KJHdf+RWKGaL z>ZjWNEx=X$CzOizD$t(WUxE#A&BT^|Q$eq~TCp_fS}fF0f6whJc)L|9`t%VcJ7T}L zfdz(JKeXwGi!xko$d}1MzJU0VAN@X1xY@1nj$7izrp2AsV?5=Y;QSu=khO-(cW(-#$AS+iQPLZt zLbgI=!7n}_-N^cu>sMlE0IlC(tUK#{S}_HGOH{HOK*Oe zdN&Z`>@X_c@mo9puWF=84H{4n>wNbKg18)ET`mzPHG20eh)YZubS}fmg#ok zmz$U8wb{G6xICMsWdsbe6yu^Mq!~w`R8nhV#1GKei}8wR)PQC4jWFwnn%95SvONo+ z-c5?nJCnQoqc(pW44qX$ES7)>XKo?|MNug1>r0lk(;Fe9VH#AkBrB8am8MK0D3j93ActIZLcMSt2=FQ^@$ zys_u(ThwlmWM05{K+8@m#KCs{#W)D+);1(&g|;=`guib9;X9@nA4J0jIgpjmXG%>g z>M~{3o8Pt98U7j1200piXozZKZ9Krp=1s_s$R;m72O9)!yM<*86d@$Cz#ozLUNlK1 zK|k?D20K*l7wxmw-9)%gq6@Ob4bTxxQteeNts;0fXji`5Jzj3>Xl@qHn*#H6(L9hi zM$A!gZ zq<>tbW4mdCnyRhaex&d#AOu4pSGJj2-4y=hk~6{jF9lCabH?){4jiN~A;q^7+3N!P zPRekv%Q{Dt;dXQoj3bs65T6RX%#74eDZE1UWiyiG%yi)P))#r?c28(~=&#~JB98>V zx%~}LPGWnzAwQG&)lH@d>~;gkuC1$(sg9`?l&BE0sIOjgXN6tpKX=I(YG zPa&Y06wQb=E6me|&Ixo=yZGTE&fQ3mYcj;LMTbB=F%r<1#1;bH6`Tc`(5(*TMCZ~P zhcyQdA-$wK1v!^=q0))4&@hX|gaid0nmZWagSQ$49leoW@^yhAE972MexDcM%TN@# z-=l`Kg4Acs#nVdh+Ptq&(s>2cU|@nlCZwv6$mISzg^emb-UgZCvjC_;{xPuQf8nZ! zo*7nbh9R8t>hgSfeo`*=2JM%J$LV@sRz&OH;B4nrYftprQtjMb#hh}*^MlADsl5}) z5v9tX_n?F6x|#MNCnXh!U+*#%nRY00W0~9?D*XJ2e;-GpmE6jXZl|r7A@7SoFG;5U z)axeh3zg9s`7zE7LrOxjg@*(ki^dt0F@2_xrxttiJ(!(cz*vFf_P*T1s)F*-SV`l& z;jp#|cNr>!{3Y`&yEf&TxOw={|B!Cv7!OrF-%II;|)JigIG3n#j$jLrE1i`+Yz;ot7Ls#n|~P@dd2H-q6*G^VP9YyxkP)+G+A5 zDIwM;b#}zql5AuFc2U2UKb4DzUB>QhhGgUz9V^BFJr$L70o<4(Ag%H4VmE{TuAggy?oO}dqer{8Vrw1ynG zp-0!@CI3q|-Ls`!5y?2GN>)WcmL8Gb%l@EFk@{Z)OHp$0CRyqxZem&dLuJA}QDaO~ z1}F*hKqyYn*_)nv{c13q24G77RTk=`PK;--q!5{M_K3MPeFKt6#*_Nwp=Tg9hueZg zy;0mWIJJ#R6jdfRnVf$(i5gs2`j6iarjptB{$x^<-PKAm~k?SMh? zr&JZXIj=6xyeR-d>{u~-s0%hCu-9NKT_g4(#Gb+MI|Yz47s3Bp{v;su3aIHoVP+@M zIKOoq!b+=TL9joOIHo}MR*u0?mT+_$WgJmIQHvn;$Sgqf9_zh47ohx97b--XXN^RcbF0 zKkL&QCY!Ws1g|QkPqRK)@N1R@*d>I&eN13xvmiEvhw=jQ8=xyoUj#=%1vAP7^*X%+ z-Un6zXqWR{L!m`Ry9DV<)2VAEg8LBcdBiAX>oPzi%y-Dlc+>x!&= zI?wt~@%8%_1oQS@yRezBw$h6h#xG8-Xj#m>9P=SRBpT2kr4H$r5URFiP%J5*LkmMg z1N(BCFBl(ZKQKk9io?et@1=L=C(rgQIW;{9B5|ntenauQpeu~%N8t{JQJ?>5YyGv& zLuCWiGzue=qjSfC3t$3HhkM~sJ0+OWa%>E$@kKD_cSnM2@B^azX$gf%XZ6e8*;;{A z$*&n;Zq9v!@(c)}JJc6m8NCwnFZ7)EW@=De>Y}?7*GmBm{QDkGMeN`<6wmqW;F|(^|t|T7Dp%pE|@A)k$qtd95je@5Uc@ROR z0M?Is+TfRx*=}+cJ8)`@Aj6k6{v{vUqH_dmVNAgXVC$RRtx(s6m*lc3l-|rKFD5VbPK?SW8q_G&Kr6Z0d zHYFLyUBPEqwqzrh>A>8;YtK60l~{e)n61exJcg*N)_3=5%Zm{=7CyP7GV>pZybJCN z$iiXk<>4QJZd)gX3O?8BmZed>gXk6|Cn&m@0Cf?A$q7vnZUQV-ut1=#`UTIDhVS&d z9qi1Hhr(J_tyG<|S&Pb(0`t6uaHfJeRA%VA5Q_ldb6Pj8iUty;lbimaC%u>t9VsjQGr1qk50%GYM4)M``t@8~uNO&D82Yv#&Gb#wZxC!gR+en6MiKs1QiJe6 zmc+Z@KRC^{vA7%wB`^e_)B133H*ei}v&1*emrymG=7)w#kS86~ zN(g}^pQk{wD-!>nLf#@X`#oS=Z22%E8KF3rjx@7$Zh+3;gO4GCFVZ^F!z2fWI*9UaDF`>)J_= z$Jr(zfyjPCu`(COb)O7mtd`g;H#F~RP)+y~&C>T-A7%e>U#~q0(;ri{ilA>*q8I*; zxG7tSNcMZxA50eY&e){6f^?SZShc{`f|Zz6RpU;M%iLO`T?s^n`&b!Q?U(VwF z$G3p|^Zb_lG1y;K@OeF!Vjh`aKtO<>A0$cwejG?~&YiF#rVnP;QO87Ec`h-zr{#V< zxngm@MLy~?J}ti7n6}`!Ao{!mkwAHJfpf=IpUvb7?jv|P=8#IYS#Cc`!%o4EHnZLqZ|c-Z z+tce|AL3)B1{qT!r|g?_tfpaLgvplN`yHiMFcWRRb-^tk!x9pLpWq(8n>|?iwkas(uK~ z*EHnYfPISC1uEZeT^Y7;kjoL1J-FO(*{_6lX&!p9944iczR~${a-&AbuyX6_Jy=od z2k0~)){Bfm|DtW_OVzwSRA@^m`{6B`r9=?jmXY>lTCQ`6SvjOK|K}$Vd^B=|m~nf! zHRjf_0z~`d76QzI*{6U0ZjxJ4W@T(TIRy*Nvxigc4w^9ZAJ6jv-2a)!`1|RfX!a7Q z@qGwE+{GZb=@ZMO@d(7>)26|+z=B1EZlbFpHjoI>tK?4K#L#sc23ene(%r9v-Bj!{ zUQEGwZRG`*5TPJ+S76Jxy9`!zw7K!icpk=qDO5Xik-r-}>+h`%)Hni8c%sn3Gda59 zC}&=~#1<&^i0)C3#`r4NgggK}|E7~JZ7@2~)(?5Q$en(E`u+P4BUl%GeRl#tUXe4&O^S=`qN(Td^Dj#u_#pA_mz>sOVwSBAGczyiaEC zZr1z(=e842fxBaJg}uXqCghpRF{}E>)UIrN9dn{Yim&p&v1BS_-+4u=3eGfS{JPZCx4&3Qr)b+T4s@GKX^YAmxH5gCc^M7dxZ3 zzkuiO;xZV+W_UihfJ+F54Iul58y>eZxG#UkX1(j&oa}OMWt5p^8y$?`14RiJ`RTcf zshi;6bM2BG>H7>+5&p?fg46`wVHHK;VMWFb2DLJ?FQ{OOX`8To0i?xxUBNUZy5ygq z_Wg3rj+S(P5Jg_Y`n=!yL1PRK;(?8X1AjzO-K30pegnCWtZ_7ft#W|oF;SPj5%TQQ zPEdm3qZ+u#DezlTQS_eZeqDg5JY+f!{~P#kBM?kSJd7{Dj9+Baa)H?kvn>BEm?UXe zrs_k|H-@7ck6rqe?*WVULy+&w!x~6hFY6TlK!JWx@C^{wfzpwv(-|vg>R-{?$u4D% z3n&j$W@Qi|SVq{B5fp033wTJLC*ECT4iI5y2(|j;Uhuu%=axc@c)0K(mcd-6&h;-x z!E${`y3qfuFI^NuO6GBGKD67cc9@}?VLQ9plvZv<3@4t<4<_{Pggdexh;?2UF(+%(Ylk6P@`h1H#0 zL8&liZ#4BAr%pYNue?-;0bKxeH@}vFJYx&U(lHA^HM77T%+EUqY%fm@M*elm*yXO# z7D72oQB{OI0ZI8X9!mE?NX#~riQ>_gBsQ6XRsLnERLj!IP2h9tw4GY|ot~}BE$`j5 zO@`bXB7q;f665ex+w)X@B@6zHuJEITMk9eR%KT*U<1AA;&%5OxYSs!p+$6N{g$Fn_ zwIt|1Ht$hNYC*@+i|{`}_MEkXQVyN^Fj+PI5(z+_dI3W*ZMPU$iGr+9=Rtjpk? zsnb^l>am7157ZXL?X4hks3hw5U}lG>g*yYh%HyLpeK-0=&}CgZ?267 zX}GWfxCwky$rFh~4yA@{X+UcEr)L2}{SZoA9r;pe6H0X^$D7IJg-(ooASh1UyV}0> zFd;j4TvC2oXeyB+4_PQ#R-}_afGZRe&d2&bDorwqzaE8Z2JJ(CLKEzdTz!Tko7`~tJEKjui)P)Z)4DpkQcweI;E0>)*q6wXVc05%9tT#Gx#B+ru zzc(DiFI-q*x|`}CI+X96e-yUy?oVt6y(#^Y9sC*NnrjETq40QF4qqAA;vag+LVrV} z%V~#6Krxpq$plKl@frn#L~v(G9&s>k1M*f((`@H542U-|{?hTW{TEAMVw0UswIpgH z=FuCx)0o(|Oa#@y83=^2U(hnZ>z4HWDnaimg_J_b+KJPUy zA(e)=V$t@md?|)tQG!d}0r1SF%PQm#5kKA)a>uhD*tRiCiN(qn*$gU&e|yw2+iV_# z;G2`w>ww^mvR2K5q9=#!T(n$Y{Ab}+D0y!BBh9YKyV=>JqSAP8w%^SMy+ zQ=-o(4`AHzcXDtrrE)V5)_D)d{1D`)eofwHh6O+jAlkIua<)W47}eC0>e` zD2H{fr!Y8BlQR)BTd8oz;(F|Nfthuv%cc3tMLRP|PHA`ZOu z0ej(o2s(&^;h%6i=6sBlO~dNCWS2n6-UZaks!Z1t;eSSUByys^5zvO6C{OAzu($wD z_|HFcr9S5q!0#D%xl!o3RM_q{EU3dS&RYjlzE?fP;nh75U!+O>X$AcQ8a#~Y)4ofT z-r}cb)dfg@uO08hF`$wUvHLmN+E%WetVIZEf;m8{%LFvU=;H)x&2!PLwMgTB~ttz!b}rf6S_1o6VdnX4ng!*{QsKQ)d%-gPXrx_@}hUY@o<{YrCLT} z0;>pIVuyxCV$pE8UAo3|p{$vh{uxF<)JVpE<86G?p_jHpPCZv`6qvdYeYp_z2iqEi z;6NbFIV{N~JJ{Xo0xPaC&XDTz&iB;*2@4{vhBF0Hy8ATz+MDSO|aiT z~by zKmt&QrKegswd>6C>&)X3gd~wwxGMr`B}^CfhXz(%R)#bu{Bq~GgPkd=_XRvsC>(GZ z8I-3vh~tB!2BKvSVlgOwD!E=q;wQjAA_V$B<(8gv_uM>Qw#J z%!wTUGC>Up)x{#8^^)l}gZ#cX`XoBGblE5jokaN;&1V6y+u@Ns>XWyAQW#6no*n(> zCTCLX1fxGpLy%!-5dbbwv7DDX(U)EJ=S}wZg!#i^(dYV`XF%^#`^2L=P8|E4{b`oH z>t@v(Oftl-%SHlo+0(|r7WHL@{7J2L@l_n;_@Q*JFD^_-dhhh6`=*O!totnXv&YF9 z#YpdKfqAtErHgmCBgLWbA7$^8`j4iafW^c5^$&t>URF&cJ?&@|rHh(v2JCZE{-XFY zlTo~O(!W*cMeVw>)6h4fGr0uxTS8OyZ~i9facwS@;^Yn0_1n_yjqi8E9Er!o##!X*LJ@P_hz%F0n5;ZR8FKb>T zMDsM>kp2-S{LG~AKjbK}4?w&{QPW%(M1f?J&U2a<%82lNNUp>IbI_-1TwV^c0#rq@ zR@LA1+;$oA$rN#ty`qOe zyoVy)=~RXyU0L>1*NHFt)P-M9PgfUO^zdtBz3#sStZdKp>-q2_A62Bl4^1E(sO4eU z|8Y2d)FwkFSZM0yXzKY0w6QK7fX)+jM9d2LRo|M%zYC!FzSEUzi?)Fu)T4K#2Aa1Jap|ihWKt=cB^U7-Ih>n+OQ5jCXKv`jxXy9x zQwNVZXi8&-H7TKGg-R?+)xCav%;qBc3BiHN;o!^N>n3`)ezWc6mi*p-RM2726UcwRH@>`L!nFCnry!`En<>VLpFSPhgoK>YOP81|H#x6$M_)FdJ-f|oh> zDGe?-}MXf|CL$U>YHj`c$`eSGE*k7JXLaJHAtKOpVQn@a_V(3LNc4X!8 zH{uHxR;v1yM1yi)w2~ojY9{pS+sS?3DM=w}-a@Z^MHNFSK%wmSVLy5&HJjPm@4a?- z6_CrrNMhAZ+wo>dlw}IEogms^yX6V|lYyB7vOI-V87`PQw|@y>UbTMz7XAJM1nk@I9XeTm9A(xNd?c?L@QtxZY^+byL z!e{MYI#-aZ+l8lQOpg=qj}wl}J{0V_7-K3N3MCTMqTw7C`^A7CD;9oO?#@aRdrkI)z5o7ZAG&q06ox429A?d$K>s1T7J{!A;Oqc5?#jvvKnP%d zb>8P%Eo{>Bn-h|<1Dv!!y>4J^^vwxKkIOJ5wyv*v-J~WHK%a(?=5F$~s00TdS4mko z!U7Kump$^-7fBxUynx|w`R}uT7UAOf`SQz8lc#;~++Hv?9lMMX>Wr(uT-^&4CIi$; zf@-xkFui~}ufnnOL(iHC3;wC#-pzw7(`GhIzBtNZ*yUeY&m8*!;Dq$|e@R*TsY^Ox zg%g_Wk)$VXHnHwWvhEu2T(AnST-cD&AkLPN7Qv{K6r7r?x#|u7mm1~W^JXNl#?7ri z>+J!xpJ5E96ALQ41Ft(&4K60Bw>BjXr;+_gZR^?J&36^=UV~$YqwNz7QABRV%*)Q; z&TxW*Cs2=X*@``WNRpa3yoq22G+1g_sx`_kW1^sAp5il)qai~GR;ZlxjCIVo1AnLU zt}qc45_I>C9r&U&KXlu$jWvL{l)k{(+OU}qX!sE22u$v&M z#f1ea{AC82i0ZED){sh-GkhM*F%^gIMX{fY{;J6ns|Thp3OR|N-xi$)=lLM*phj6#R_)To45bVg7MwhhJ|gd!WF*qBkHC2buq$8|6YqCPJ>TL7Min_< z=gq&xag2h1of8nGvN3b2=XJUc7M)<5mYeYeDiSPJ*jX4MV5faG4giab=*!&{^>!CF z43pQyM~x#x3uk1Wc}FUvO7<2n>Qu-~uHaLnLi-R?IDkF9_1qnjg}9|wTT)6Rp`WU= zFdhU8Xsx9%;Y0~HNn`%>M1rWsjZaFsr^bCB3Tlg{%3LYm3Lh?&TNSn!0u~Rwtb9Vc zx7#goO)d^6*FzLXV}6V|colIIw7#Wq@dj4JYTTd+XK5A4@cAnnMtL1InRYE-8vdL$ zx%-oLJ_0yX2R3G01WT+@XrQW;M!dn}yCuXbQT8dEl(xZVho16l<+9eh-pTqb(Fj&h zUBDI42ZEwdLDX#JPxH~Z=pd956Djd{6KY@Sn9z@qdEqGpmx$#bdYr=w_~$=+=U@VR zZu$D1eM0a^f6WiT=E2W_Dgs)yAL=^|`Ha%#*H^D&V&L=kw#8dwu!{pYi|@ox>H}}z z^HIijSylKY8;TL1{gsSkZ%USvjilv*MA|7~a7>nk41Fdbf}-$~viGjo2Q4@#H{`qw z7jPUV`*6ShNVB;qfJcUA8n*>U2nXRhTs?@7Vf^y#<{9`{7hWy$f{lShxrf|+{SF=; z>7j(EDIbd{K&6hdjr_1B`uw4oV89N6+9-{$voOjSXNdv@(h3nGt`FFFjBT!1=t4Zp zhIaTZ62JfMI2#;-%d_*S@^~H4QtL3uKH_v9lLT8$>Z)*EBFVg_I=x>&s-#!hr7|n= z45bWkJ$~0fzMYOc=lO}n&mgb;5^Do)imRhp0Qu-vP_EB?{4|Ml=q2wMJ-yZ$*HOcj?4#jhabflU*dj^Mlxu-wQ_grokGj)|zq$ej0%b8ETt0Sijsj8bMcv4_?e zJP0rq>mq0mJGC8Md5xP!pE9*yu7j+_57#Q>hHa|m@oq5f=3nBnoZ>c6CHNDzTDTCC%L@`CheEz8#d7-3q9l0Hmhg9&|&7hR4u*u{U0?2?~Tf4 zT&4mDW8X?ZQ+_!z9S*{qZF$5rM|i-(ZoGYl(#;pIlPJtE8>B!xC@Ao5FKw@AU~+C? zqN47neti1&!0PAf?|PKk5&k~JJLG-wQ;NJ^`k$>O-)!$y1fQW!3{Mzw{l2XsA+4y6 zz=_!jkH>Hta~JJ*j64s=Iatl8d!Dub<#*Dm=1TuEZ(~%)gUWp8=$h}48|80dHU07S zEguGr9;dHmae~E>lt6S|G|ikRwQLlhg}Fn6CQ~3c&d^m9_LNY$%oM}5LA|bpgv&|n z;cXdsD%0UKx_iCf;hiBLfrKB8HO^6A%HB$di49^@RzRKEek)eSA8V(mAk43bd2k z_>o1)6^)NS$@&v26BT=z!h<=5X_~*EUS^YlOP18c zHe@su%V;%XK=?t-w+TIlVp#EC$KdZv+B^LxF~_B z$D!X_isEgx;$NxKbYO}98@9KL2>N}eFgR){9|ITQ43s=Ao{COZ!6cHL$I|(LWCpD25Q5Nzi>KDY( z4W477GjVFsR%wpbCwhmY$&Wxq4I;+ufIoPEy`KC{Pd0b?2j!7TC+sz+?s^ng}qBGJD7sGTW zwh+KELG%Pai{rX{2{x``;WjdAhHC-Jka^rsS)ZK-jwz_SRqa6!{H9rvmdW6-z4XmYMvtHjn)O0Ga*Xr;K%P8oa$zr zytB?W3bmuP?yg!Agf;N5*M*i0*Z@CMqjLQ1-EQ8i(`t6g8f%RJ%pQQ44-A*%5Wq94 zuy1vdEM`d?J4L#b`daxpe3TySwaWxlD}QpZd3`wuA2(dzV{X`@3hMlR8YK3^t!UYG zuo`QemKCGdpA@5y71{hkhR_+V>j71W<* zjx^n}D)>Uw@LWh!!-0w=M?x#lVz5gqz4`queBuR`Wit+|{+_QqUzQo+CYM(JB&pNU zITw0{qda+2sVAeXbYA0ovX^VYcvcj4#JdNWHKARjBz8UfqQ}>l_ zfF{S7fLAio_EXl#$ueZO`mbt!SMS((6W-)o0w4qfC=2vGT5;(L#$?uISvZj@cCV+Yj}ro9DHc2Y-~%elW{zofWdd^Kf4d z@*2g(_NYB(o?s}Nn(0>&xhn>H{+EXV4AB&U@7hn4k9a1?O52)v2F(jeA5V8Ed%Vcf zrk>{!=-5;_zi>KiAlTq_Q$<<|x%1@1t*uPB2$F7}aWGXUN1%oesE9tLEP~uL=QV{l z#OdC)|A6ss&XDcq@$P~GvDaV7_r7Vy=Jjo13H@X9wyJp~u+p0P>q6&E;ZlIRo#8dp zo~3IxWKV1RyabjhJf<1nY=M*!yjsKV7VMpu9}leC9xCIT*-{ z{go*KGs^ur6$k3)(h8%d-Z4B$KMDOTdLR7#;PDn&pI7c8(?h3X8<(fn&!vf9omp!{nb#A3${C<=t zVkpY^d^_(XSF6#tZrnGdS)3ZTyQ~$)nrAzl}is2f&{8Ei4VA zaA**tO=ueXnXKg9lYUWO{Y&^LCwSWg=WD+y4WlOun*>j&ia0t#%=k$>Px^PO($;U1DHpc5%!P9n&Ej+LdbbSluvFC%RX0D-+x?AS{W`R z956jeNx@pkMxA5SPrp3sPPlNW{==ff${(knBZ?%6^rPl`j@7?@`*ll&t08bq#=IJc zS7kSg1+WFnZF3nNh&E#y*!A$Fpz6{9q$QzEVp&nr+vRD0XvH$+HhiJKlvdAd;?29< z`QatB7F7l*HQ2S~jMd6c<1vW7*9>b4fAFE>%QkP70!7gnQZ=%yg^P=eMYW~iBC`m0 z+Sm+7#4j-52SRRjrqrrtfWe{yxU6K*bJ)OwebD|s2wW1YUgJPbgkSwIC`@R5oD8d? z^8Ch4cIAVqZ7**kR+`6O9eCGYt#6x61z|mdt2Jca-dk7;6j1B2Y|8h?PRc`5k(krNW4b+2&ZbN)l2bEYHu zw{#LtPRde+M33r5#8T=<=4qk4ueT7l2vy7IxlJ^0$wte}yDd*-q3;3*9vCx#A4JuF zlD5}$h;W0=swbBn8Y-vb&1l1hoF>i2$Wv459qg7oJz%yar}>}ZxIu3GncMFn#p35= zme%1%xn=bHlcAb&SHD7!cT=GsGpvQ zFq|CP&ll`fVmb4CuZgniP3MI?uyHe3w`kn-`rCLBp%I&WYWb3d_Z;Vi1ib@hp>Nf6 z;R%1BvioBbRUul1H~l!;x`N-4#Dp!g2-;@S&zR^aGwNo2I~;5r03^Yo=rLn(7CC(A z_sN-Xh*p^CZH}0_rQ2;?9aMN9WIX?rdFY9#ZXSzy74I#gd&Xbl*y3yb|Bf-yE@T)+hI*0_P^XSF#yaU)D0Lgyg#;R*xs}4_Fu~!(CtRkbgM&X>uf#4m{Eo7)7Ahd$rG zqdxU+4+`_e`zH|wcD7&)K4Su!!e?tMi*{a{EcTR4HQYX7Ec#gPF+#08sH2>n7R*tC zGE=TYq2{-NTYC;HfaV7795vBdZ)zShr`(>RT*$8_kiPaCeh>l?v{7G6&mORmsn-R` z#mk0wmDky4$5*+vX}Rtq0&`W-qhHtSu?a{aRgzuCHTe$i8lYtin3128zw zAm)fIffvVc{P$+$e*tR7>)Ru8ah=g>!kPCU1MnfYZd_i3lsBdh`=P`&EGdwa4DO_4g;gcG{?GA(#QXN zGKH16*qB4y7^oaC=W7xbQvXX~G)%SsQxz!p!x8k-@K_`U0C_Fz;$2RNJJ#OLtHo9@FA{ z&*9p~DQWws5Wsr5+OgfW3K8!?;iYwulfI<4MZkDEC^qD5)Z(=d6$=M6%I#@X-i{zT z^#@9hCBln~yq9d2eSnb36Y(XMR%`h)RJd-$z>E5AT>tRzP9Bnrbb+cV90u19nT_S$ zfRUqr|D+>tCuyis<3>Lm?Tt^|>XVkCE&4b*XW7N{+Evg;1ykug*j~h*@SxSVlk$TnfPAeu{7QJJcAwYKy8Er z2U{O!2-NKz7`%YM3qT{z&B-ylkkGvbxFe23UNfEcfoTKlC_V%}3J6Vxw;HZI4qX!c z8;k)XW1{@ElKr&rfN+=xscxTlrFGp{F7^~=kI-x&PO>^ssB`C9O%wWJ#dmd`|C`5N zXtjm@FV#8K@=zj9rrh!9cR3+5#BA6vGym1Txqnlwp%*zP?95l9i3tn!Q{X${h`ww| z|LTRVPmu(DSK8(#c-KBPi{Y3hrkD5SAPAEPO|L6n?}&abh}d&{StxnpoMh;G^Kp2Z ze2DB6T}p|SY_G+EsF1duE7<)>2C5s!A#!zT$qO8_AOZ($cM+`O>`gb3Y5Gua_hzWK z8-YxwD4Z`FKmSCfCe5vb6c&mkfAlGx5P!AA`@jV1HLHGl~H^qiNn}R7lQ#Iv65`7 zBosMgs6n!LMm=hr3lBOWbiL~2D(Tz&hK}Y{U@6Wu@p!va8;LX)Rs3%W-Fcwx?OF2& zc0yo+04PxaLv!l@)!v+nsPEl5?SCw<@{wA>GR7Tu$ivDq!B9k&elan16|_&l+W zN$9S2*ns$*-K&f8cIUbQOQyspU>8G#992+J262jZC7@}5J|Sk>BqF9eA|QfxpTqu4 z@$I;aoi$!WucyOmE}iTq3i-4nbcs46BD4{b?hS<8G6vM&(FEP^jhe~Twvp-I*VvJu zMwX4Q99}7_sKkSsu>xfwK)?FBqvxR`fmLJp$yO|>qPX>c%b<*BW{VPcJHe zvIpyT&;IhaCj#ILYnrcXpPGBA07$})V;52EdTm`4KWV4l+79H z3^UJ7zJv37bM|_2EQ2w95%U;M#i2-hjF-)ykG=vgN6G<=kUFCtsWEwt$6%~QK3PIR zN=C|DiSR1{wFLR0_G9a&dinq#1XUTo9O8qSNO~+~ul@$Q6xBBt`W8@4GxmmzDFC#d zCMgn<6G)%j)g{R1^W6G+^V4!OcY4zbtJQgRUQ_9YRssNtZyQ+;Z)0NXFt+-&~^6uf8u7XOAZ7UGLg(FiIVYU2l?I@yZ9IN z>0WRG&_}xoxw|wg@%PZ=Rd|b@Tj`0L#&w#exCHkMT;kCC~N%eCFESy-pI^NDj>;vs|z%6-lUaVHT*w``$o#44pF zm0;a#jyIldE5Lj)nMSRSO+Z8gflj8V*!2K4s#5LR zPOyEFW%^gt5i|OGztZ1U)?|*NyyP?A=%c||kIk4Q9J5^#mh?wLegxkOJ&C7k%nEyR zo@3?YMYV$-+-=JH5Sxhs0>KH2OmFwOd%4n&*{d2 zPmi@c0f~spWO&)e0E~y@rRWHZ*aXKVI zxA5*3!9a294GGCcloF4i;9xz3!n)_D^fiTNi@iw&F*!Yd6UxN@y|Kpc+_h z)9XF~8TpurLU;9uUddy%2a8pdtdaerhQAyodRE9+v}OKvxdI(upxIgp&He?GnHnbp zN_#A~py#MPB{%~RU@$(TJG5gGxU)p@Fj7a;?g$W6pGq+;B>ZHP^QLG!DU@Av+}5RU zGiG2`D=&Hqyv`~<&_lq)B2Ey{U0{UQ63UA>Q_r`h%|+!=(X~7K+2d66T-EdNF1zd` zbQr*QK+_U~s%MrhJN9fuGQ#48^8xG-_L*ynseeDWudT{5_9MwFW-4xkK-%*}B~h+d z04^NXQ7G??K@R2JA`5of6OmseR{xl1g7!>!dvSW-{spqE*VAc@&I zSv}{jsKg$EW#qMKQB*N642X1`+SJ9+(PE>@aZu5zkr7nM^7G@ZZX04}a+{BGVJH#l zm5-pmD<&MswiKxHKbdGLYLDCX&ZTC@su0jt#cddQr#m6@MQ) zY*KEOO&OEW_sp`(I7I2EE-hxo==0Q-OGfIJ+0_=OQkiGuvIQ~DHEZBdf(AlduSbks-7WKZ)ng6E?gg|%Uv2*?E(BzLCot* z)HttYj>!{Sf9f{M3fyBrv|WD-3e=X3h<@|K0N*nX192ow?J`C}u{4`qOb#9Sp)cq9 z@Vh>om6nfmTPiU_U~*AU2w(0Kd(&%Z$n+VUE>(xpjQXKgpL%~H-c^=KfNr;P>wbCFsFZul>tm$lkocj}3w zH^eGHOo*gJPs?TRn7pGX&<9d8Fer!n5mQ(`e*`$zh@$6Z0S{&ME*C@Sqe?Dx1(Waj ztOt@<)Hhh|zry$KtOz9j%8~ucorXYUXYF!TYNr7~;u0sVDK<2(L@7|OgGCIXk3KZ$ zJ-&yl>7pISW3W>B!NjsdoW?ZuF=Gi?34lQW%5e#u9v5ZTn9EO)q%4qIX)?BWwoo9y zym9+bW+Q~g*@E;uY2W7Rn=`^kHlksBE_pouTgd?}!>f;$e;qdA$+_Q9(6N+m$`G0L z+OjZ|xmQXwCn@n~4?P(v;}y9Lb>wu=t=3nJF-Eqb>f=<9?q(q){hEk*Sov^R>Z^`BQRV_D{5M4$$`dxsv7PG+p-j>@t{5^u)Yw#^6 zGiMkpZQgXzdnsJW{3_=&IEydaEyM$Hv`eKtukTLzmu#HRMUK^yW~s82<(avKepc3- z!M)p2RzZHSNXWa{uZ#>eiF{biCgHfywLm3LCqx2b zLTHZo^klx~3XR9pk7?8Edi><^ef>d^^E7D%B~K#9$+Cv1EjZ*+b((zCH(AUXu_5+c zF(;w)1SyjsDwoYQm7SF3-i8F8t=gE|W-`A&epAakZQo|%JspaFn?IH^F!%2aG|kVe z>j&~hBIQWT{OON)LnD-T(2`dOk6}#-8Gug<0DRS@RlZnOfMiaE9Bw8WRenZB2!a0W z>Lw*->t>(bv`lv$gpb@wW1K^*yb&u&)L8t*dma-Gj6@^yr1D)a`_~Z(de_sTs}-IZ zAm*ZN9fLOJV7mpbM_T40NHugvY9$Zv5+9NH@e5XPCvd9U0i~BYwg7r?UhZ#VQmk5} zSbok)Y>HD6_-LK7`sEJI=&{Zi!yP?wtU2}7IJ_)U94LN;d_TdmFIYAv zO_rmfcG&4vO;p~L)P%95)RRY1aANh_`Sr_$FdWRLw|6JJSF`II&;531eSnnTM14eE%{)o*#&A#zDC6%3|mO`N);46Us&-iY{ zSU2T^+BP!<#}df_w?emoD{s8)OatpYhNFg-iYo7xfR@mxUIP5D1D1|=N8zl*alMl) zV>39GT&eCwb66isZ(<7_eJzb#{(50pvRh&CtCz8%1?T^Jb(!p4;czuZt#`c74I@_G z#N%v#GDcYzraI2MjU$g`t?wMK?hHzZhDp}#7fjl*%KQ3BQoH}bB(^~K3T1g;uaEM( zSOLI~_nuNlBt~jfX}Y=ZZaZ+)hqh4j5~4*9LcYVgVKcfwI=X-0+;}NS4U@RIA=8{Wy@D`sX^T;^5?8P zD%l^#-C*OA`ZNc|b(&6^`ExEkdzkypM#VVXut5-02C!*ei=ngE(aHX7;S3ZpN?^dE zp%ZaOKaKm(_e9w%$Nvb-4DTe@J~(gU132nFrx)#hi5pY|bodZz8T(jh4gV5-WD@yo z9=50HtikY9@?9w0)}Ne7Oa7cMTK`$FWq@0(1;1|j=3U2|iy%H9Xh!DBt6)lz?ikw^ zl%k~6h*hd~eGJmF0d9LUg%UMhKECZ%a5y>z5$@qYT=pp$P;6<%*>6uMYSrbC&Q)N9 zYnZN4Y0nk(lR2}8G1>b{1`bxdo)p&+Li{n)=^w&L@ld>c3 z2jU#M87#?YvISTVHH}NbgF#=CY6C&UD8>rel85sjQV|~L<|cHTBE#Gv8~U%!hSRd> zKEA%eqKVPLjwUN99jsVGi*wj^TYs{Sv{G0zG;=64Rw))|lfJ8?IrX)j zN9ex~n@hA8f?swM;)9VQOi;Fw8Qbh;mONcuO=ItYUHrXE^gyhjA6w^<+s~J?*XJI| zU2Xs%aBng>2|k_pxK>|38S^1i8c{9o+VoJ-foNlhc#|P@IIbo&quSfGOxO8LQ-nEN z0}bvLDAWRc5)m*CC#SO!u3qvguU5?K&r`(;RNmtQGU-AI9OqE}e!0K#?wA8@yBb$i zb>Qi{&**P^+iVI>ApT)Cxuj6{gBj_=vehJOXJQ+zy)xgQW#2JCDn>4<_=E>I?cA2n*UihLg?7~=eAs-wEwG#HO`<%V*|)!BKu z{I5Aw$ufLd&gNP#GwGwj(Ycs9?m6(ThfyymHni&)6b%&W{X>GC}wwhTT z(WO)}8qQCMjXhfL&M#6+@{^BO|0KfvYp6L2IzkUg1tzVFdT^~eE{02B6j__dN|pQl zB$Q@(A^q6FW&LcQPzaVpXLqCsTDVO7RohoMN5e0%w{pvEt;$nSL32;c0LO zu(vQ%V2o#vy=N+e#(8BhL`cZDbpkgtR#O(Y8C5&-=@WtPJiTl*F83D_XXrV&FAJg6 zu~}aS;%2oP24fhMT)7vMIntBphvsb(0=7>jzcKx3(%APVCVfHR6S@Fxp~;oSgp0D0VaY}@I=SNm6)yf*+bb9%6;Db2 zSk=nvQpvByh-b03k0794&&$s*4zX3uL3pzz0$&S#fKm>X!NsL^;Nk=H4?KUY9`<3j z*zGrxvD)3TOVpzJ#@MV7E#9oaeRSH9v*?q;&+XC|kSeQ*{_P^ZNh z)1m}ZRun9}OeV+&Mn;jf*V{;Z5&Md?L_T^OQQ!zZ86 z%0{>}G(YWF)>s<6vgADtb5vC>)a4yRKU(_f(voOBsPapjhyfVfRx7G$S_bR~6hy%H zs(%Wty<;V`#=!AJ`7jycPLmD9Y8X0pt2`mR<~0?Jzb48Oj9rmGWua;;Q8o|Iq6I>} zCt9fxy1-=T=0Y6FGvAi>Z?9+Q-9~@zMw3(oC#7uz13uJWkrn&IF`0PLo+}brjsu5| zwOF1=FV|2#{GRDeppPq_^oGw4opD)`uy3gE}F$A-SLeVTDEjT!!zhP z4$HsVdAo3L;>t_Mu)8X$6XPCGN~lnq<>wBJGaV^PR#gjV5uWhC26)F=Rx-B=A3^`+ zGB^v8jY=lOh`0*t*Pf>}jt#2F@yi;(fwx`y`Di4b&9cR*FzsBA%TiBh#*$#af&PpR z{S>*6oJ8&bJ+5?<^C>0z27WuK1)s=rp{huxglwm+h^9nMmZbVhS?b>Hs9|Yg;;nwV zC5O}B^yvtBDmW^(w&wRh94@Ka+|;B_j|ltil zjh*^h#q(T&gc+omSZ12KQZt1|ts~t@39RxN5#!wc%&J@v%r;p2T6O#Oa}2(c1oD%X zO}CGN@Iy9Rd+*LGo&{U zys|>+2kvyr2AtNDY9ZsZLG7sdVVI$4Qq1NX-z-aY65)d1XYAzd#F#}gKcQscNhozy z-!483(VsGx@Q2RNRrX3h5YNuJJ5FyH^3YCvjkV6H?WT1m@?T~5K?u%z+K%}U%UTX2 zC5?3!CyM#?dN|IwY36l?mA&Bu$C$HFf>$(rR9Y_%mPBLlP+?B`=EI+aaj6d%esx1p z8*5%juToW&9{ItpEqasYYye3l%Rbmi7?=gqjhjUJlJV7HW=gFhl=(ZRGXeO%$iyk1 zX1ozygF-?M6Dt7LMVMFxp~DWbf?hN@QZ^yumU66&ha3OuCWD#{%LeX%`uU(z^ zm5(BvnRKE*9+By$Qkegdm}2mbqE1sEKAS7om%Cl?iw!1RjuPVO3ARz<(r7cLw7BM1 zI9mRw^`GfCSPdtwFjucp+0%H89f1*G*fmm#)&#ZqS`P(knv{X;-7X{S+NrW?w>H)+j>cILWqB)75QGGBXnE@43v#xB z6plRg-&dZH+Zejn5$;wUSAD=c`G@FL`tS-(UK91S=psBr^?z|{*NOJUmNcWc))0A^ zF;o~lZ=0NDxcR?m2qCdm*QhXKounPm#ZAqyk#pBlQD~nxhe31)$0X^c;SZ)!=_=&QOp_`;)aCr=CWg z5EatQjZxO&-tfbmSvHNZeZX?2vZ9Q1VRNL7CW@^&TQwP(7ad01GV}_)^0c=^Cj3Bw zt?+YE;BWjx+w9SUOO;))-+W7tv{-jtAC8fa{XSsn?Dp5UpMN~CJn$s3O24{5E9tSu zFET-f2s=@)%?W3di+52)mNwpIVgKa6+HY%Wnz!bNWfuaHEA4p+1vwcrf`d0vz3u4# zD&_F4j*viEI~l&3DjuZmJ#;Utek6Ix^(L5E;Fl}UY`a#f~4MWj1<{Ca{3CKB&nFG`s%6&KhzMyTGph@r5L~j<2t9zk3_z zlaWD(Us>1Hm^L8EW0bMdQE~H=OuSl2>I<>880GbSGIZ0Q)?zSiLX$yGcN0t2{5McRg!;*65K-dwhvx}N8_cr-5 zk{x&KJ_*+qMwhU=HX0lwQ?&?lzytx|^}BBix))DhFw3s(5A?4M%U+fFP$g?k$qf5Y zS@?|oei5+NVf1!>_`%`E$3*_K=QVIRV}hFs6DW-Q3R)6c{!+Z|1nhE_s3GJ01zs=( zn9_<+*8QewAso#zhUh~79x#s+G{4ee!9pj8uVSF5lZaI4H047G=B1ZZRIPlvUTeLm zwmy|-2M?2l`&U<{X{0=tZLAI8=%Wm?vDO+QT9VO*tLlCzo3{bLe-IOa`QaghwgadN;^2gx>9a!pe0`cf#AW(wd} zRdZut?}-2XUK;!3tJ70l59_5Lqrk@dM9u(5)IlW|ybT>1rm-U6<%p#ek_ZC?9Q|nh^A??B zo^07Ce=IhZ#4mIo*qhXnjROjEvlM!Rg*q*rwTnzLKWgm$J^kfd;gu9Rj>2m^q9?md zR^vJ!EDErpPj{@VFy?Yy57I}goJo~aq%cnVzTB?+hY|Hwhwf50j{D+?rm^mZ`-${p zCi)oqHUDu;iN*-Y5S(OvMDTjyX_|}Gp){ND5&(%k1qlOuZ&0v!1qBsR{Mp&r^$uPq zC3KRB?(7bKtA+fCIL2UC+E$gK8Q)gOw_sCiv1BNB#$5OVf_mJPU9e^*E|e+*zw z13n>@14L0MJXnLkfms^m8rUUaG;st&c44^i_>$zK4LlxC{v8w^vE~_1*=!9xO(Qg% zc;C>0Nx2}`nowi>3Z65)8mVQ@O~ARgYa#xNF7m8w78c23a59A97%gv{q-__SvX%KB zN>3e?4UjME>qIOh2bork4*PX}%aCeI;~^nq7POPn|E8{ejNg`3x?isb;1XWiehAlNb2LFz&iIeu{x|2@W66L%~|%WIReWj zjag=H@Xvo%)8#*Nm(JT1s6Y*#(>mnqLo@IiFEnRUDusvQLgV#sZstbze#ZI(UByiv z|9Tkzf~4?!brq!jK0X}Rf#=uddkdx^BlaMlSewP#TwG>S0Sy5*k@$*o|PUBB*+=!RBD8p}rO84>EPy!o{Xti`i7T9RHxMCvJPn#qEsU&JxxC03c6-O5J4 zxp=rPFyZ56)aVBAeUQyoOBuIl6Nt)Uzq^quarN*B|7dNx?bf2S?hft&#r{-NhqlYL zY+P4#n7|yoS!;bALhGu1Ng2!*y4Z;WbqBGy&$TOKF@j14PD#a;*j6c>1iu1F32`J5 zFMRk!F*%6QzdGS&TA*GpAZHAQ-y#u9NywRt9Ju#KKYQnhzr}lpmkegX zFfZZ3K?AqK@eYeQCoZigI*s+_BU`@&o5J3i=ucQEGW&={le7S}c_5W>w1|Gvs5$Ue zx<+zxD;LOUOP|MO*)A@OID*!jzM`km4wWi^W}yi;LEo_`Xrn(z9wOAU zNPt0oI0H<&GsQ@hZJq^vW=}6Kox0_BDJX+@#|v{o@_hC=X(Lj79V@Z+T!5g2TK3+K z30LzFy5p_bPbUK(iVwYO>+h>$?y%ETbo5y{ugKGKODD9v1#J1kYlke>awlX*6o)5J zn7`Lu8KD^1h>6{TUL7r57&Qz=zEmZ8W}0>ApHLCZY3+#0{uP%P%O=n)O6~s6&XiM+ zm&bKIQ3mqSvGAFcF}5KQL}i1pa?*7O47uKA8&9}WaH=&nr}FJtf+Y3_7xUYb zlWM~{kRs5_8*aO=oaFAnyZCB{kww9lqXcv<`Mdkws9jSNwe!C0JOcjJ`<^XHvA4E= zDih#-PDLv%Q=(auW04Tr8T#mriiAOXeL-I$f;%sB*(`t3TyR`CzBX2AWW-gQhITgI zn!|6-=C3M8|Etf^6cPC}B`7?kL>9+!boq8Ag3f0e5lXN)C;$%_q$8pV0x4+7()M04u(`JEC`A z)#HODIsfO6QxDb`9p`h{TeO$Es=DqqKuDCZ!Id=5vDpgNh+hQ)t6pQ>gC=M}*2Y4- z7)k35UXFBj`l-sU>9^Vlp&LD|TxO-f5bGs;L}GnJODtu4y5ajF&!n!GF+FPCBi1aFYo-4*aEBoOfM>`$8%#EBzj23T_YG zhj)wHboJHIpjJ(fpU`!LX6VtG>5~s0bIt!t?8M0DC7&F4@0IC^%6a=$wz@^(*aTaa zw^Q5sjnrd?b^2AV$ueRKB1(FM^TrXHeRh{)7AU6t+k5WF z-jvZ@!;(1R6#@Fa&3P23pN!#XPZu}_ndjg$^LGdhqu7U)MrE#e>!s5y!tBgS`25S6hY*b~N2x_mGLmIC zK<0aLQXG4GAnft&W6)or`0VAjmqKsUJZ1hgZSW_sVgDPuoX&y9`-om|P>BnlK%NgX8;xu6diO#(bsb|W~8uVCP~ICA~kqq1hF;18s>{GLN71KT3+ z(06v7RU13XY2G_#M$PT*bS_~+Z}`y1k)&l1TXe#v%_L#d=E_2Pzhh)e+Gicq^AX3% z5dD9BOo@A`P{E*9yn1S<-eFiIYL)xJ@=XAA8X(yYP%^!qW7W%WTB(l z6@hLu&>2+B;kn;PJlW^P{AnOPo`U#$~9bup@v{5NNFV zc_uE1EcJC=geyyt5sf1vbC=ia>l3H9?q6k`W&BGtZ(3}XzpHxX`GYvOYDbPKtO+4%;i1I9(~aqk8N)5hdBMcx09tZ8~x}T!hbZRyx&rP%+=R#MFneYmcus@ zMWQ|H$L`;LOnI>}q>f3&x_1qDDgJi6rc+mpc>z%lL+N@o2=SCmZPCQRv)16QNOzLX z_U-yNA`;onpA&Rty)ehj$c1O{yb5Jyj;nUh#6aoi`J`$gpd;(=MVkaf(QBSz*%Za| zVg-RWG3ta#i`}Ax7XL|>0Vo2n3PsOAfN40Et;=w>V307RbMEUm=R^<7r%{U-Vb-x+ zXUUy*o(JU8Z1=G{J}i^J+^3uh&IQt(zR2lA*JaVU zq$Xf#4_Vlng=4xd2yVYrPljdL8ASQ_Fs$Y;(v7NCYQpNK=bA~UVXpvelSXKgVqM_Jl$U~e_JA7 zsZ89+JD201u*8dw#4NwD1n&Dye$uS(xu+5N>u;lHk~)el@xLEl248U`Z*Kk1JO^B; ze2U<=BBZER*QHIw`}HM53WQ5>=4lGm7?t&~No!>_q5*y`(&RdD+P7wfq3xW)#%(OA&@>MfQt5yOGg z?}8dv?YEER6iUz{Jzs{?<$;zl7zKfT?WFlMO&k|1Gqh&O z1{`WM*&&oGo0|ZEIugm~LbvWG^hS1?#|&woom0z%kerMR6sVScg(knpKlF5(X@HU0 zw;)awC>eyO-;3k)V%KBz(e^@l{aT1a#5ZzeU7flX;c)f+!TUToxJJ!kGG@vK_C%@c5Yp!-x{o#R~*%JQu z3=j?fkzeCL!6Uk{zRu6b7YxZ0jO{D*Umj?BY~aRJEVsy|M9SB=;Zs@Ps{w^#nPn8m9K3TCaT-66~2bjrC` zkI&$z$SEHWkMWgX-SXpNo&TWIfKUsgF1$sLu}H|Cv_=JKC#&loaT~PBb)Rx#@(hWa ziyi*hTiW=c$hYMLa`+>bI#YztfH3C^ilYeeL+M0pBx?LIne;psqo;p#JRtG}R&*f1 zVg_D3W!faEq6?s<-=X4oTP%}cDqg?+q`!%eEeQ~YE5^mf9pi5%Al`r*WqJ)rlPWa8#mPmegysfgkWC}h zxc2_5`Q&|Ep=G8jxmM8F!JiBjw|E=<(@gDoTznZOMl4|EM_wX|KJbM zTKFG;Gp;SX_V>1q)XTJ3!S089KQ5?COi_R5^OCQnG|l`_X2r|LMaucbhwk4*F~P_4 z>(-&im3-fczy62I97=`mhAx#P`yG%ld?F-Y9LZE>3g<3jp(ymC=L!?#QP9(*7h%7B z7y^Nh&?N3{&WW`a$@i-#G)%PzFtODw_}$|AokJEmbhq&+-!KOcc<1y+=lNEB7oN=W=Ek%5K~B&X6lk0D?y>*WWn9zG95nFD7L8*KL7 zb;{5nA)IKhJ^IQSN|+dJ(tX#@N5QXQyPuX?mVAbS4!vKJqHcE4pwa7bK+Y{>66OwBg4GmuX*L6d9FfPj1XSKo&D$5! zAy~@>f<|8FtWA$t)ShM!-&%TXkIjvmWj^L_t&|kTabxMZY5?H#F$v*#7ZnIC0F_M` z>10JeM*eMqpOA7P1&>9K2l<|CBi2%d@1U-RnC2S8=nle#gcJmv&atc`sZ9cxhylkV znv`Pvpwa=r*3C_Fwzq%I&VcKV?U3}n^7vqUoQ7W|f^R&ZYSoy4_$@7SZAc+*@p~j0 zKot!WGx79XrkD4@eRI)CN}I%LnHLF$8wX2Lllv7dH?0AW5ld@&HM9^Q2-d3V^1Gi) zvNi6Wv4W%^!*$`7V;8Gy3rz6{v-0KX?2U@NF?-h0hoyyL6t9QZDZ6V~wU4gqbRog> z4XUDt*s59lvp%!rD3#7z^AK(+Fy}e7d~CNDN*iCUY|-b6kq`u&?PTa%2vLs-kA{&CcBNE>v(0_!zFuz1mn5JhP5HC zHJx98C?1wm|I-BoI7h))s$GA7K}?~Zr{_|>^Y-^0;QET{QAKYy-b%m;F%f?8cEKWm zKV(7^3UU=nZj0k{=Ded1B0LxkAxBLnpjmZON~w@XlS@Q;#x-Z(H-Y_Aa+(jKkq|&A z*xS&yK$uX_NH@Q@A#QiybAy_6!2fD5%?Kmn-@=b2x)2~EuCA_dPYv71x!{`VnDA2} zgOjF%$pmu&t^Cdba?EK!Hj<%mNYkB;e8^ZHnBm!wQz9mBNO{0oL3{eUe#`Vwh=>KW zgrC|;aatQ_s3E)VgSJ+Ozu}7rmiR|z^{=ED$vsvr+MXQb&KI)*E zb?8umIPGqZ#FoQhB)vJn#O#}m?L?Ca~xLI`@BDZWk(PcniE!~gVWF%=~ZeV zF4(qg1tYi|XUAXs0fdKDdocDI2IP^*5zp>RvO7&HHlhwBUu9$dxVcc8c>*6sO$?W< z>P?L&I}>DD`=Pu;Ed5`bP7~a^f&N!T6viI_|1U_DipXmjq##M|g7wyX-n5&DJvd$f zp*Js3Akgi|(wVNUE0&Sgp(bn^VOnKW8XDOX+=9+x)@UnV*2}M#1Bbwi7Gg&cpD^}` zSkeP!_|P8VEoWS*38CZS@v1()o{Fz|J+4 zk5StKat(rwm1vUyWV&iuQS>&P?ipeYJ>_(q^~d;-HOAPsml>8x2UqzV>JQ;g;9ywR zyh?A~j2LCjH!1jpx8c(I$vKX5M@JQ`rG|9?f%3~4$w9D0L1Kp~_sh@i-AWcm&2qRO%#cGS*S+ zZSB7<8jL@eR;JcC7VM{EMcU&w%f+@*Mmx4_^b8eAzp249>n5tUY#N2Lec})#8FcYy z5odMC^QTRmOp2%Tv^Idqw0+#-eLuozyI=q9j;?dMZwHLN3=Dr`kCFw* zoZ6%?yyi!YJ!#=Cx3fpMRH=!` z%rnK|F4jwHz}5=RW-?Bbn$I^Ux|nd7u-{ppraZfG!hgjOd{9zS;yGU8xCL691_3Qv zC_wG`FH+z$Bc!pl^&RB=J?P19~3fIx`u%^O&J9lsQGnpD}HGyZNtqq_Ud-gcfS36u8r(`JpGoTu;1!` z+&XYS9PoFPZb^^YJ}eV|6++Zh`#ou5NL(pA2SbpnOl*UP~_gPBuM zKH)`g#M3rFp#$Oo&(zuC@;68(B!G`UCV#{+rr9)ndW zA(|55roAYOW-2V8!)R(^ccx1iQ$?qF_u*zOZ+y>9)gwZD%!Y+D$4om9!m{&@HTMsym{fs$f?ZjtNt;hCfil=Se>r)WDGioC#B4nG3L zr)=ch&kWHJwxUVPCao&P9o+*bGRjs8QqsVbgO2=Ii5Q$D472@RS6;XaaVSHy-zls~ zoVu8jG}V_&Q1Z40ISiJL1>C|ZjpSX?h2=lb(&T7p*IFwH^|xGmKkl)S)3C|Z!uqLV z!ae)<{BTsS{E4ZP)~Ts45oeftjIba(!))TBdtk0ixYrfMZrq)bp^YuNyN&;ClgC;J zAcI6PMan+mv5~i*6l&PJoEET7=L(|spZ`PhSGW9pKJ^4%yz-!6R)-%5|CC?vdx_x# zo0>`^cQ5_-KXe@j`qF;bPGI>{R$Cw&+dVtg$mH|XN^M=z9kYw=%Qg4e)ybt zb2r5AGbTT+UiVc^f7g)Gt_?ttup7T$kWcs8>U*?Liw$fYJ+lEmUYE;S(8+!!oFnrraSB zHr|c{dkIj*{|x8=b_jG39`@0!kiS39{0ZWp4~ybow%)uzv7tfwwgOwnFccf0DZ|>2 z!i#wjx$&c>nffZEYse6n&+al{dC=xIy0S4 zox9#?dGggCcNgz5Xka;I-?V{(IzxUE4o6-4R@$h2H(C)z=^gZYrd^>L*HQRyJEOvz zWsL^$l%K?Ko3nSia5;UhlsPJ= zaIKH7rX#V0NViqCVC*?aL<8uY`_m`Z1j8#2izR$M28w)w;{u%jS!*~}l1?N70vdYe z=3maB_Jt?A3EMnm(vfwx8A=C38h3Y1Z~xz}?a?1`XC6&66buYZRGVND(N=VA{o>@3 zByW_Kzbd(?Z*7-I4F3@U88CO;jQXLpFoIt)ac8_1&u-gu`o6%K+UjwZoB&gxxpFT{&{!f7b@X>#U$w^@H z0Ot$j4rWl)r|+UpfPPhO7dzv!vou7nrnY^Zx@JKcHc6vGBbYLfDP5PL1q!p$ZTv0@ zL2W(hu7!=!v-NE#K1D>Ja@6`LIZIDD|4?J_KTO1(-= zjggUN4?<%hzdgG@aSa4h;rl*BiuAVo?Htd|fBN~&&#Ki_Mg=A6QRA?pn3U&fO)^d4 zPs~3uNQtiywsjdA)exY}o-tFmYw%+3?Vw0CfDxe|VT`lJHJTp&FOW)>InP8N=Nsbww>HEfvizo|W9 z_2=v3Wfkls%0tfYbS&|!9oKd5;od>2Ga*fdw6zqOnMeLJk5iIiT``3}&&)DSNHYeI zk*P$`M4?m}u~_k_qkuS#9wxF{T^09;5+xM*Xf`4g`S@!a6xAIJRpu$!RzyPv?kDV; zXoc3^V%Z_?!)w5lGC<8=gN%chyPfzqZ{8Sn`!PVk#-j%C{Q;K6B6X2(P*Kzu@#}Y) z?4_fN!lOiA?n6R5EIGfa>X7~7%LCW8QT1z}zp7-}8Tx|3O#qPY-S-xKW5E!g!jSM>cY zxD{f89!A_N-x5wwG8BeTS{WmE=7(S9b z_8;psAFt%`Q(v>&0H=ik0(JJXC4QB_pyb|j|UJGY1$YH z1f`NIj^DkM=)5a0Ze7}U2#y zy4Qoo0;@|Ie=4#OPFeU5jJ~ziO9-%1fB!*ly5|P~5dzLiZ!37l@jpR^sX=rkC`#G$ zk9cLjmwbMD$36<6aH<cSDz((?Jd#@wdssG4l{@zu^EypbvgMaJx08ZPQ#YT4yH;~=KTwgmw79T0Q< zsBAt#=aV50*WskN-u#Be@_u>xUsY!vRaF;u`$J1N96F@Cq@>}{tw>0BcXu~ZDxHFK zi*!jNjerVBb5KCK>n`8#-fxV{pL;O&-e=cZ>v`t<&1;Z|1u$gsfW!2=tROA_OVyIF z5VIDW@deVaoVUorqkh;?mhs4$N&G#c?l`+w$Rt!9%5X#eX^K+qiWyryQvZR&_~O|7 zOMjS2sR7A5#3B9iOb(P}P;zvIRlQ_;a)ifx6V8(ca-P)(s<}uKKFQh}L|!}vaopmb zS;LrLodlL1o$(;MS?BPx_@*HSq~NHEd{<8`gP_Y2Eh-3^c0{vjw|eN?bBh z)SuXNi?oK_zixVUbO%)BKeYpk6c~T>4eCyIFo`4ykZlJmJs6+fY%KHk)gziVSJV_- z8uL*)Mr+}8bgH~w-CZeRWDKUF!s@J(tvVySA2qB}6$Tc(MT9_Z&SYeQXwYE>3fgl{ zeLtSL@3i8R)?(EBaNI4j6}tA-!~|<&pA%(AcLT_@VXLzkGh434S|=vsCoU;E`YhGx z&zPK$>47QcO^r#}D)Xpo<1?p}Sd8->=ndtj`yR`ot1uwU@|39>4Hxl?d6-g+**?LRIWZcd8YidA2pGvXJ2W-9r%@2;1H0@OCHJJ)%6 zqRClGnp-(rRvE1PB~Y5ZNFS{MX;ouIvYdJ{(3-K}Mg!YQn-shv^%sU@OB=tg{v8#dfh>QC5a?dH&lT^A6>`!6Tgi*v{<`7SFns&@Ub|N!}q&7 zTK`XM2;Q6&gnCq7LeB?%soSWjIXmzbmvTr1TGdiYE2I2i0t}}T0{kaiL~dvi2w&2x zn?*y&=Y}+x2)8_k%Rn@{f7cs#w2ej!H%om5bL(4pTj*Xk?$M{MmC#)FRa_GQ( zxwMX{L1@j`B=hNB!0z~GY`w+4Rx{cAuL5QBM{|`lu%l6nMsT*yaa?#)GEkw^W*@lMv!9-Bk?UeW9q(MOwmm zl^<0|_#kyg zxfC%hhFb00je}rzXT|&MlWQ@Dmt+>@W>h#aAbdMv`GY34N4CWT*44CFTm;7WWVk6Pupj*S&2qU2a9^QB7KL1 zLGw1l2ax9j21KTGgv*{x4nrLNMT<7WNq|`{U2YMUHKm8#O5~{n(o$hs3zL`QTgF{= zC6uQ3SleRl85=(#Q#3WUkhw%&?C`>+gT~2PmKRM6qGrmQP>;2vBhABC!hbJs*EYRs z%`_MhCPB!q3w7bMUeyJ^7~qdc5sAntR7cJ*C+t1LRhh-eQG|`0{(3)Q(Wdi!WThXQ zLom_5YMyV%Q}kfevazEB=*<;Axa5(%kI660Zd!lLbzMeGI)Sfyq!BRNGCm<`q(5m` zxc(U)7|~<-=IJl1Txy?>`sorG8)A6nVV^z1acY{&HC3h%;%w>{#P^jBhOT{z@9&J2 z;o~UCCQm-(CTGyRQLzxFoR#eY1|+zG+!_UWc_F=jzpR4F0?misS{y@&r(lja(DnMo zczrl$Qm}p^$~NIqMvQnmbAz>;1)T(_{`PJ%8F6VHUZvW= zG7zTX-rUq=u^Cqrp2WR-3aT8W34>ta&akj$_{IGS2zmi>Fy6kJeF{N?HQ{_R$>T(N zLu>rhvI_KNSh3OqNI*ZRD0GaW+&Gavl?&A!(H?8A5B*xt6=738vGTanomFTsO6ufm zu89BA#zyfmWxm}8hJv1h*%pvZb>eFPkvWjW@X)F<5egIaeIVF*frplcc!fxop)CEX zuON(L>+~8>*Tk#=0WafgpL`dvS5P>%EWyG*7}v#YKy?4ifz(AD)YnW?Iq+C^HkrI0 zdtxX&lR3fIyxUJhaXWt7Eq(U07fh+h`ApzLhE!UH!OoaRQFH!H2!#d=BPhCiZ@Gns zkI7w0*A?@v)ae)AtQI)}zNv8+2Abaoc#h1?aSMz=Q}9z)u~t+G=&vV=Pm&PNM}nl8 z^fsO)(xT|YdE(#q2LpR}kv!knj-t!A#X6HcUk4WfujHCI_6-Xg9FpN!XUVXWkzoYw z{o_Pu!Bzyl^>syB^hbKmZ$Dbop>nJaP9RVLf%Wfdiin#rp{HAxJls#y5eLlhOSPQ^ z)Y}$%Nj?y!)Ohhgt8=eSA7$&e#u-+VO(CLoQrwV!6(ZQ$dl0G6*Yf)uT0y?f?eqt#L8@a=0A0qt3K6CR`Ilf+0zFzl7$xo&9h{Ikl+KoBel>Dl+R9R^ z1A!)W&({L`g4++RzpIa*UxmKX<08bBYjOFImgT!R9WvAI7?*7_qbgPygf|*brt6}z zETM*ook4*2!sw5C{&M1lW>w8QDc5$qRP74OM4)v}{ko#w?r7*%<=uf@tDCDsI}yH zou>6fBn{7?SBWSAb^|J9BIvTZuan%Pbi#NwVND*zEHYkGphU2j`=QWl=-`N92qc{~ zlA3pm^cK?4&?G$h246exx$HWe@c?`(5FGBhRrOQd)FIp+X&=WR{NWohk89|%3MYs!Xz&#z1@zLe1FUp;cV>8`bF{;0^T zLbkE;vqZssZ~eK`XTQ&#pE(Cl2@cURtj)fzqh3U@7`O8mImqxyD3f}Z&|=c@kY0CU zX|-!5z8F&TC+D*3*Y#j~;GTI%1EHsA9YEN)|~G{iof{HAeljd#Deh1 zF8iy(`n4q@M${Kuf!V(rZ)JD4B22t6yJB1$**EtL9k zLFbR&9Wrs8mXmLypW9N%6g{8BOKLX{D7m9Uay^s?-_C#goG3%k1z&i{B%a{myPP?6Z~_ zc@Tn>Wkp=s0NHr_q!{U)e9dxm9E5!LuKG06OrA7r(_{-BH|#62OCm5Zj#Kg0xfI<> zkFyw~B@EwqBjV^c=#7_WH!|fL=*b!P1SjEt%TgW5F<-J6V3@c2ZU{^{XR3l`D}r2H zh~`MQ-fF9R2wm78(8wG#jy2jCSxJ9HvLcZ`XE{BBxpLrGGhUW#L^>aXj+Bc_^038Q zgyz+VQU)a7*+ciYK(@ zipE%ncOxjzQbS*GXtbmJVaRU<@u@mhI{4`Q^?Dp&wFa`OK;P+>;6tSp(5OquAv$nU z&dMDmJKVTl-S@lWRKd13nitN7h^oSOs^1q~8-)3akhwINtDgq2a>eJcBJU)lIe|l@OHkRPunP;sU;fv>5SZta>WB_q#S!-CFT6mW+X2}O+ zZ{X?Gh+~yrL`Vr177TSeJoi`nOJm!zbN{;L@y`m7QHdSjRt@yAbMYih~QyoXm%h;kQx z&e#t4u5NBxFa?K=RMzM$>sJsOeLU5gBS-D0ePZ8C{;eu=YUB!CLPHL3-pPo!(aT#Z z9tLScN`jfWZ=R4Z?s-KoyC$Zk-KhdYP%Pn-ZJ7!?PFI;hi$v***IW4Xr#0^+NPjx~ z^H6uxdn5GzbotQ3PqvkToyhxmSMb=gakoo(#H7lUr-t`{3Pr?e<1I* z1Z&-2LSsmOS1ke-9D9G`$o=yeBa*6X$I53eIPR6=tKL#-d=XDjl53Unv?hXq4!0xJ zT(A}gP|`RRA~!%61zJ?@p$@{<4ds+ewVQsZ#`~?^{zh>~`~d={#X&dNvttF+6jyDP zp73jCn;RDutW&))fp2$p+sYviMb*6XWqQT8I|Tid)kCg(k=egB>UegzxY!?r`RndJ z7>sk;9VC@9rbL`PyoF41oeD*oyPl$k<^Ufw-?rL1$|co4JhbT&B_+;9PU-fUU}3RbBW_y|ZoYGE z6*w(~kZ?Yilk9hoioYOLu4QfiJ1c<~g( z>}ZwUM5d?F2JbBSqWS32b$H(|g);ddWm{v#^2IdQL|7TXM+>s8Lp!1jn;)xPOA} zjc8XBFET)cMK^HSK8x0jAXnMwL`s#+T1@3=e065P z6pm;+B%B8LC!3IIl%On0m?OCe(nB*WsfqZ2@q2K7j0NkM~F8@KZfRp5wT9#Eq9llCzZ^bc0yEliseb zc&#NUM`}?;(TrU{+VSuZ%#{HIj*XRnm!hVfTL!m(&DinKIyHtv6Jhj?U0rJY&#Gm| zgEBTIBFj7s$FogfWgmZ2r;P8FTNH5JSZds6P1^s6X3^3p zksu$=&eWbRoHoa;sgV2Gy=It8oKV{MC?EW?Y)*Q`){?JJnbfAM)927wFegf6q?OW8x8x-c8r>qEhD;dZ9L-0XifurHd}h?O zarv>e^!ulo9?by3%I%yuU==^jG&snpQz8g_U88~{Oa4h}D#)2)Z4uMOH>j&NRswg_ zq?u%*Rq@3`DxEx%Lm@Sw{dloxO?tE-doVsdd%7#SOw%6SvsA>=8>QZ zw*qED5#~^-pY+)iY{T)BIEOXYFSIZD@=Ot-N!c3&(*)1D9_iBPurkO^3<~OfXAY)k z_$*QMBs3)D$=nb%SJUJX{-<7IzD~5V|7~tl6hS0JjQRsDsY93+6PlHUS$fsWvISl- zRa*8*>Jd*f9zl9mO~IV|b=(jrY=-7xorWAPG@?DQ(U?@4Sw`A(!0`5lN$F)ys=i5C zMa+Vbk-!I3AA1WdbL*o|fY3W?8P1=b9L`B~OU_3rSLwLhdBJ^^B7{ewcBv~Y^D@Ey z!H!T0R>(oBD4>Ctjpo`Ln9=Ps*KW?Ms5Wf`5-I%mwwO&NWzGE9g!}ONl|CABtv(r+ zMNMs_6g1+@;492J`^tjLTSX8dlQ;FLW*;q0vJ&_D01xts7_pD8RcQM`7g4;Ml4xK> zoys-;ud#3wLC`$F5b@x~yz^$Zz>>3abBBSO!c<<>BRZI7I`8BZXN3<&cL~ruBdKB@dCoW$kbG|NZqjCL z$0*cV2KRB^18H&Z+>i@xMNeDQFwsxKW)$7>W%rwHU7W_TP~Iqc$=~-bI&zU(Fr<3F zsihvbpt{ATg@rw@6~#ToR5$n2ppene@w4egC!}5m5Z?;#j-8z!JchJi z?;-d)e7~RZy;=+gPYMWCgYL4#17^dSYwOI@fg#4A@Z{-l#D1l33c^a>DWja=>R}J5 zugSYpWcu#rg4r7d{vTLLD8%6(8d2lJ1r={ zF){bZ6k5{Dmi{q!SioWBQKzsOB(TVS&nurE5Fp8TPZ@RBtIBsN@2ou;xIoV6-&OjHosTKkSDS}5 z=O`iY!@ImJIQ-gpZ;Sss?clX&!7ZiuFEFEkAA?*1T^1tHEF^=aPVPM6)Z$T-)d#j!nuntp z`tTsq8CFoZhMt1VO*h%>UV0~D1YZeUpsEh4@g7? zDyu}^3F|p%L?vrGNMYMbPw*K+T`!iI6eEt?(Wp(g`?b1ivUmP?V)CFu%`X&!hy1;c z*RLM_#Y1Npk1GPWX;yot&w=wtY@rijLo7=`W0{2qRbyj$v9n!1`_P}T{x|(YeBYYW7J<|^<9+06=3lI^kRF)#V(;b^zjsa@}xB9y(_}?FGDb*V_hn@ z2FNcIgW&p%^Z6Y|1c%*Gck*H=3N|@HFT0dY-49{CqZ!WF>&aePWJ4k=(!u@pGE2&W4mxBlEC(MNk?$Uo*wILk5dw$sh%Dbx zh*m0;-EJG;w|+4O7V-W4MCSm({GY-(6JIbTvl{JmLhs1h+66Kr$6*O)azrv95_6`W zf}^l4D{~aO>}2W_N`h|R>h*e^BqBFaV$?0}rPBmvh1x3KGR}?*^?ThGZdP@UUdHmH zY{8e4*1Ok}P7z)e7El2!hn0h$`&m5rsJ7YW8E+rB$#av|xd5q;Nv-qhdfW8vCLX4w zUx8_^&(lp$^xZ!xJ5k{@hw~HtJJ^55!#?_9%!jOTF)_*{c~8WWI6Ep%C287SlHvzf;r+|o?8G@^((%fx z1_P)?@3sQE6m4X8Xp@jtPMYsr>tj~HYCC4MF^&PQZxiPaSI1nG&^G79D&2RHJ6>xb zXmMBUegOE-Km@0hQ}cLXQ+*z$17}_tBehQT(r>3?xI`}HQuu4&U2j3Q{JZBV`hBIS zw<#|2SS1&`A@V1d*^zgtLE_#-w_aO2%exl zu|k3S*;BNsT=g=5t2ydNofC6ehD#@N@B9MmRIvYQy!xr$7I(n6rwd(n?%UwcNf$OU z!b1jpqFe6(?$Rba|KuM8zPX8U! z834xtuy`j=6u63Vy_)~<$kJz25d|du^Qk5dZ|V%fmc1E>g?u!qd-W7*tvk!1%$Wl< z%|ccP({K67B6wZoehD-<@d~~jGf{lekywWaR3%h z5Lavs0V9TPsp2p8Rl3w_b%Cq{(tVV5dmh8~D3J=iyApA;?F8kcp3mAtS*<9=%Nhs! z2erJ%ll_pU0To$PuV^^tE+f0k73gRNGn%1kMTY~ZwM&P3(`X$yO z;2Y-zZQ7UqoQ*Rj#Fpv2Al7yr7IWgWY-!7Zk3?sQUp@RJuHNl&wF1+#xN_%}{0B{8K$6z%k*6njhEg=RV zW254Fyg`SZ{=JIni0_}!6K1)%Ig1#d$G+k7Gh)MUm$?~=q%?k#2aA`a-|FaS3oPF~&$S+U-^s+>c)6}Bq zISB{s2sN^c%M<06R=(T++@A5!sQUBnx&MEGAeci3<_#k^aRq@V=(|citGNC3^Y-^! z%#zpt)?vtD9~)fA-zVR;Q)CV&+cC~~u_f-DJMnQvE#p6^wlrn64w8goCb6unigPZG zl?|Rx@$*X>{EQGhtnJWYkKz5O$s%RuU36j7q;Eadx!bjYdRE-9f?0^RS0;J?8{C1f zCJ!eW{8a8Fl95FLU`Dg;PWB+FVgMoe^!Q#qSxu^ACHlEnvjLdyujTTvfbOFnNBFJ6 z)^c<6SUa*@H3ISv+}cN=As}u(sHwqr?+EoDSM2F%ZZ16yG77PvjfZ9!KyV`eg}vC7 zF8}=5xbSdH^Vkq;D2nS2c(<{h3OO-JO%RR<#ysQB*PdK&6Ml7zEo3~iqTV)okahO5 z_DL*k_P+N0%MuS}ZH0#*{3@(9P?^-fVxT|&J(h&=G8?r<*$bX1lfYvXN1TL1^EVvX zzms@@titmltYO1Y(AoIb3pI!6D^e5U%=L86ubz;CQXN3^;IZTo56*Lnkh3wwY2d-q zk^vdBYD}PaB}tz2=U?O|E4@=~lamX1N`Mnz7U+ut5&^u+y{)zBCKhy|tt9qhblu(58tWf2PuiZU9Qph}}R@KdJ zB!{LBtTfpfQbozE1E7LzJ=JoIb32S3(oLT;p`AJ7M#YNc^FpfL1rHfK1R&IY;rDMl zXf&{aw}%i}$zIG;*iqX*>aYwwyBR8uc+Hc2BdTj*S!8{m1?}Y>2+MIhAI>mtwNP@fqg*=BECjs*7z+fPySBJL<3H2TzZnFk28kZIodPw~ zu4m5ebgY3;UHkSKTL2h#Z~{7^pcd?`nD5-ISyIC2;iksjJw)ut)v1c#qwa1fbexlQ zo&tL+{^8egyZd014yu2)F&xuP4hZS_3rPuy?&dvug?eHQ9>yJ9rRG;-v^_kIc?)11sP7m`9hSQ#p+aDuAonWjzfVEw0i1+xz;GC^fzSe&^Y^VqgKn3>?jkUncJ zZ53cjAN3UjADYc$U%o8Ix4VOyDS;9_EiJ>}iDMBc2S@9 zfh-EGLNL{IdYkSOPxLj^Y7>gVF;;LU``=ET1XsrK>lh-{2oH3DCqvG zm;IBMoZg*p-D)(9PFFX*pBGY-0M8$7}x;`l_K&bc>Vr&!v?ktIa11oI$iUtvQ~8v$ucFj zYTs;~zbNwUMM&p0qu}|GytLaQOe-@i8jh zzf17H8+;>DFd+YP3jdu;r?etU=>I*Ze;a<$mLN*~zmo(TT=2jP`rm*4&pw2nJW3V_ WJ+PSVz6*tbKP8yDT&;|0`2PVV!~_1?c|E6luGwf*CFw%}A-}E&I;oMgzp=BkV-ULC8p{b9zXA!h`yQ@Y>8~ol zJI^28u7z$cpIu{*+}7Oe+?~phA?bA+V2}LsWgm45Ne5&^Ozm$%&^%|6d2-?6Pq{`@28>oq-_B{|XSgKlA>;F|MW+;J-`n4j{uy1pxnZ zFVulRnJG%>zf14$A<5*3FZF+(CZ9trjFtO8H%FbJ9{Kfqaevy+2lvyQlhInO{cTx3E}q!%+o1Jdcc*`U-`L-OwQE@n38_&-%+|~68>`t0 z_&(o8rs}cc`R9Kh2$?t)pClg#5#uTXd`;2H#jvlVqoHF@yN0?sHx%8U)Becu3?PKm zJl^}f+@X#9^5x4L<=c%^bJRZQvH|2@a=gz44LU}^5tr4w=O!@@4y~#HY;5R~>$7x~ zDO$xN&4oRmg8k)bjw{nizSQritE;{I{E*T|peeTq#OCH^*2LJ>(HrHUNG}t9hUeU9 z$LgGzGn$3HB`Gyv{xfV4Y=Lv46du9+>UsXN5Xc-Fll1bL=oV~; zIyje3F!k^eyBf{Y@1m3Gh5shTPv4PE3T5lWXnN>g;H!tZVw4xe!>T2d2igVl2c+pL zY{wKpOR+=&{wU&w=5PNT=k>iK><5#_0e@^|eyM&e`4snRtPg*0!h6Z}bEv^*Q^Et> z2@=DO*4U&2w^?rs(gT%gX)COMmg4TXC0iiBpRQBA>`m7bi1j5XA$=p$U6^t>m>PMT ztRxZWVt=NtqMl5|mLwL8g`~OjZg_8*1Ik(bh-CY)Xysopc=loCj`iUoakrfjWIq^} zO2Ety4;c5CxNPznu(gD}_6S(|TOT*M8)Ey*nogAnZ2)7qj zX#{7Oks&%Qc*<-9^&jweD`dVj=zkrQgSyo=xi>fq{dThY`F$WJQbtAOV}EH!k%9!A z0RW6Z$nCrt16q_D-Qz!_!HRSymm)&{RH~_Qo+=Omp?1Xo%7n!AlV1Y;hQ<+BeUE$( zM)HUEyllcmB4iz7Bbaa?)!@RZNyz6I9)>6#P zqn320ziiIUiS+xsTI6P>8v-5xcoAt3y74P;d{Lx%P1FZyE>`8WYaE;+pqMoEiaBS|l=l*(v*ZMn5a%K2EC=u*j~5IM zR1|G|^<&$M8vlc&G@3>K>syQ^Nh4zH_H2(r{>10u7J}d0bR8b18H^5|%?-0yx;SNl z#}%!aUJv-LET8FC-21VPHY%bZ2MSZER#nR*_j^A_=SK!Z=_8$m*45&;jwK9n%+?mq zB`J?6A5?Y^YK>A zCRd8SwENTsp>zt?H^;{7fjsP6;9Beofv7uwxSyzZ?=zB%;NMEtA9l$O>s_GJ%Dha@ z`^#rZt4*q9PgriIk?ur1BFGT_T}r&kjrDJ#a08cs&}WUh11ZHYb&km@s!#@{A-@!@ zPm50$gtOFuqmm>T^0bv%Dj%FhKGH?wUiOw|cNzU*8tLs-$ax8KuKi2enmjzMePZ;~ zl9GHf;#pa}_QY0gweF63Vi04o=;+ozFu|atiaw5DXN`MYJ-dO$K|B1X7oAi0q3}sV z&zUA2+D5@}((Lg<0$8IgXfH7n=2b{W$kdiGKOVG=8wZ(;p7tt5YbFY=>~|Ic7tHLQ zIE#E~Z#U(6$j;7wP@guo)iAHJ`uOPL?{_|hBM|wQ>+!$`5r6ES>)hU+F5fI7{C)YR zyasZBpZ0%`jV~$|EXe75VrYN?}^#f%Wsr35$PYt2!vM0uhIVn&qo6`t` zYHn_NkR9^AJs!F5(_&6d(qeTZ0<9nDJ!~bBlDOcWhv6zeUw*z{8VfQquyWxFY|QY3 zV#V=Z>a~a(0raUO>ej)AjVJFp73Ou zVP>m*C~d?R8hcFJ-qJECnvd`O`Gz&aMLkn`?4 zrYtwh-^Wb)H~dBn;?^xt=9h)HEFl;08n4Yqb|#z+M7iR};HYs$5p1Ll|3A0}_0s)AxkBWQT)9LJ$L4bUTsACx?xkovrTEu^(@>!70OgL#iX4D$ zc()0sLWjU{t;SLbT}$PalO+i4`XegFZMPDhRgTy;YuYzN43@?>*xR zz+rf0&!Sf`4e9Ls^2KWV@>;S5v^zMcZX#Q3Pk8+gj{my5=!nGf1 zM0~c1mC1?yi!TzU0Wwg=+db79vKBO~(%ZCMi|G$Zr5xTmLSf7PR{}X>@PuoKdh(3- z(z|ExE`WuekNwy6Xug^Y>c7g&%;Yc*IeYWw&C1)#HQ;!FXK&uTv);>Z3^Kri*-*LM zfB+0{G0caD8p_0?)*`pWp9>huqey;+)#m9@&6W*4fY;6OR+?PNcG^jj*U7H2?=Ot~ zb7pJ})LI`Xgl4aiW7NTLLXLkEE)q5%903qRTT^(cPo1*1TO&7xqesQFt&dk82~l*6 zLfNezrb^x`;gUmQyo=#2Pix66HT{Ydy!RxG_Dx24m6wYsN2_qwp~aDjxztj^8D z{g?d}15FPh4fTUG2tSgU?wQ***#e>$so+p&tFfT@cF`eut6E@X>l{4y$^)qcQl*E#le|w zq?apF;GLImZsSF7-`yU9hB3ER%qUMflVxbmw1!Sjn$oNEDzxy?CzR_fPujfuAMCAvyu+5aw(Ap9n;-Apitm||NEnFyY z5KzJW47XXPY%qV+JYYFs`AyIPCt#v<|ChWoDBVHB#3)2M@mrmEC-89%uHz)*i|BJF zNy|pbD-Dv)j>^ty`&jS1zB49cZ$+G19;wF1^Drds`^^Q7C?HGw@_v&X9xug2_gW64 zM=~7A8Fhe6P!*5F>3G8h?lib+Z*4_;9GqLqgGK~=H&ZzISY?6#tqja)j6Xw6sWQVG z7!!dJ3@#-JqME3Sr}rr)*s_$`6OldLd2U9?!7KxcC=N_6o4$+PLC61MpKrfbTw17U z0_Xl6g% z8!rg_rWdT{>&aCi1+v(bB9Kxp`*1i*+tVAoY0ofo0eB@i;`2qdnq7L1!Qg7&=SAef z+2ytCXYN;1eUMOki_eQi$=Tv>No^nb7LM3@dUyzCscomkTPXLdu7b&D7tSHc-8B7Q zHcC$iVbUL(#pGYKL<;LmjF87Xjl+GQNfcJy+;t2Sb1H=MoB`}VPgQD4jQ@)e*LT@K zpip^#Fk{^AdlPm*SU1i`yfgG;O`IYN=44VwLA>XUFs|I`3II9(#?B6)Dk}f&S34cq zQc6uY=qWt8U^LN&<0&DiY^&(2Y2IR;SXu}+z+@&v!(6jhFZ>-yz+sux?>+Peyk3O# zOdxE%aiV{OV+%rjo^}kkmstm*@$y-{+V4US3+lC=j1I3WwTstHFe;hP+bm(yrgn7d zZ87DNK<9=g)H7id#HGM~_)_uCY2>^UOuWa5WO;YNI*q*Rp<@3n#zWsw3m(06YZem4 zRHi?6H^K2!OpN^3sX6b^gu{D)9bpLtczx;e-P|wXXBi%iCf6*_4L-)yQI(Q7<9F4` z`_<)TkpjG^{m^1tUC#pFQCW9EdRO66aEde5FP z#E~neGeUELimn?qhhUsfXjs#gLR(;bXou!NewSRZ+CYv&vcLeTlIeFX3;pk|DN~Xq zUmc~hsR0ZPx=!B0t%!~C`n5k*zmF__sfnwaRLmT))$$dERa!XdoGrdn@c8D*_)CXn zfvC2_==LLqkxfLb(dq6>m&j3qfS5(BojxGKDFk|6mC;z>60}=WuvA2pAvi2nMei?V zDBZEnvth!@J^ek-f1w%gos*%X$x%BB^cZY-v&Y;|#q7CeVwbQ!zxNd1ZQ$0}xc9AbhH1niXpe&lDs#QoUMx z=b8<;@tQy8ARC@=Kv6A?BS(h8tx(w8Et`AU>Sc;e(<^U-kWuEGJe6O zj$5cInJi!8o~F54bR)J9u?Z~R;UxLH?pbbPUP)ch6?Oo_rl}8#TsmGwyy?7L!X7c- zdVA+y*U9%WK0+uuKI#}wNCW1c+T0p`(n11a;sfc37BS;ri%2n7@GzuNFfPR$fCGu1uQrx6!4vKCs~7i` zdESRxn@fGo9af&Gst73W&%}F!_K9%+gc~!yzy|Zm2$mV!@>)#FEsmw{n79ZG&#lg3Mus zOESv5!83V$MO}$qKd6jOnC$nRMM94NN%KJYeEJ~`0=4h_^-N?Ctp>d4(OnNPHhqR@ zL^IA!c~MyYu1a$yS`4L8iF!a+{mubm}SsVEm|&SuVhhC zLJv~S>4Ke3*qfe2=skwgW6t2k;=GY(V!V|Ixlx@W5y5cTq?E`Fnu)-=PMCZe>0erv zFI5G0ug3Bn4O7CoE|^oJ@y3{(6>>xp8S$o8Oz&viCOG-aqaL=Q~j;r&p~HDm?5n)A_1O-PF1zp;x~5*7<(0;(C6uv%os;G&-H>F z?!$`09aS$$DA9)|3yc_|#&sgUp2TgAdfGn0o zpZ5cP>F+!+oj2_Rk*8|7}LMbD^!e-`-B%X*(C9Jw1Bl+37Ho7aL2rPH=Zp76< zSO?oHGyC0-5)T#g(c#H`_0*Ut+X^S7NJ)Yd{5+6?Eg9S&g`*wp5MiqO}B>IHz7P7--Ua71bJ>glD#WA6q2 z-|c^yRu{YClC=_uTzhSj=^;1_=uIs|r)LU?s?4-vYlgMWU{to0qXVh*e*WUcua6%; z(&*9re89D$KjZGjOy@{=F%3R_X)_SApz%FVTjDiIfM`a^&2*naYrEMaYc}B|6VpQ{ zaEE5^sGtnFCr(UHxecYQ2dS9O(Z5`y+H1V{6KV}sIDwmma#7^QLnu6+KH53zCw+WlTQ?>@eKIJ^jbwx_aI=?xD zV~8lmZ{9lTzSCGbVv6u%M7xpHc_ne!*sKw>M>UE^!)y7XwvzBajSeB9bw@%eMJ4Jg zMweXVzRrt8z**MV3vak)s(yLQjB7IuaO{-3B%%3ea#Ui@^XJF2Z7yrRewZ6X(0rjU z@zKe(?<+u$^udRp`yKu0$LN6i$a)4^2?c_t7~|Wg^lE!I#>y>UzPxzxLc4jmqqV(V zH#W`0x6=KZL?N<@aE$R&xM>_dD)@Q5ecQ6QmkkQKxw`Ot>VI|au8b>*KDd|Kg8`0u z_Uzf^HT`GZtNq*S&cnR`$=m4~h^}(?xf&ap$t9*K+2b6?M=5zGowiuN0qtZZ_oWUNwOxMD5{!?meBagJS{20iu<_S5m#LRpLOZ<`0vXHM#~SR$8o@u2q8uiO z#j|VM1_3*raWi=dypfuiUjd3>A0ZW}7nDw7YPdC5C-0O$$gz~p_9QRF`FYch9s*y9 zVm50do-k>{vn|dWOfMMuFR=)o5(30QwDRYgVULxS4A7Xp?TN?_KfcB}iO}nQq)T#; z2V>Kl7s2oj^I(a8!`>{j1w~NCcI=~QW@i6aZ3o1R zbT+pZES0S*mCdfwS)W!Z@nRmwvN<~wCvB}3_J)1H`f{O#xAx$=-~1{(y*=PUFu;sx z*ROqZH~@KEmcF#STu@^_75`Rov^=(7UpH4Asr4lix99nXyw==Jj^9AMA}}uDNw0kd zzm*HlkEYus4lx;`w3^9sl4Na@aCP%6}{Xw&ULFF!iP15o(PDZlBQkklm85w^N z)ddz$a$3pGq{Iunt9?Ey8^5sMlb_>(=FjhbnN#BB=_~>wy zieN<>$p^=vJqXm`(1wLv36cMReX@^Y3TEB}2cjLjfwdDdc1zPgBuL4@l~~qf7l$88 z`$xY-%*QplY2rs?1MFQmSvw*x-+Fk+FaT<;ZBJ1PmP8W}8N^BO&DDvttEE3&vu@XK6N%+*e1FyWL>623a$fSe4s|Z>O&O=k9)jd%`{IqjArRGG zn)!pXqcM;j!LAy&>ts&^m8V77X-oAEt- zpyU5}ktseQ%DkR{$vaI)Y+gR^;82cag5TzvO{MDd`%~jm=;(BUS)!OfW2}RO^#b~k z#gwy_f%!kL`*xR+T+0@Yi$i}I$&{giMpz1QBbgMt(QmANXTU3uTjWh6%od1Or^kbi zTW}n518I8AfY)Rj+@q6(*2aCO@MNzw|Nl8w?Iw$ksvu5-+hD zs=V=PYQ!_d@?AXKzY}#4B?Z(m9M)x)WXnf3=Z`F1CdRp-W8I{tHc1&B_;URPuT74q zu0K~>cRd3ZY2uszklj*LAkhhb*0e5sCs`$sTEwu)o6bsKnfG>g?5nG*8-i`7)zsBj zH;sR&chP!Ffnx7Q zp#TT3ea7(j3NlrW!Xh2Q=U8P8l)uobYIQ24u#oVi!7M8volg**d?yp+@{37GUf?xV z2EYMy;E9ZaF&{4zx0ury$c__c;&GUNoL|pmBKgc@|MYY0>`wQpu+HPD0P;_;=sZR# z$LEyL)KF=-ThOKP!(dJMA=GO3FhZ;Vwh94!h`%W7WLEdZ%=LV2$Nws@de&(a`!&u1 z9*UAj(H)?wS*JF2PSq0aLY}qTT=Mn#q28%s%WDtvzwv6d2U;(6%rwnstb~lBMOXq} z46T+fza=gBvhAe|LM`JHf?tnjFJ_zmD^P&m4VgV3FNCFm#DRCx{y1=jt4Cw4R>(`N z&yz~|cqGowfPjX13SdLd;G|bj3tm+lk)c(%75?+=n*ng<-DwG1fkg__3$XA2fH-z^ z>nNGj4DGw46g~Nne+^FA_MBgvXQP9#)>Pjy5QpO;IJv@jv9hPT5S$Jw9KRQH`S|$K z_fXr#MGG?o10SWe@uW^yTt;-p|Ankx1WP;}`my6zmuPeDgO^fy*!u91?{AjEI%vqU zqQQ$`D&JYd{{)+5C~!STp2JioNiD0TqZtc_tf zCm4n|MaaZ8lCv*taAOZ27Omwls_r1F9*%Cng&TM+pP_05By%PsxT=q`|l zciGbc z2(N(}dxAWMG9<#wAS(DJTyJXn2H5uMo@LTFK1!-n(dqLQ-FmVJk-NI9Fj>vR6?ulKVWIpAi!>BmSDm@K~7$C1bz3e&PCmAKP6 zDY}gDUf?(b`^YUZ-RcOvS;B=tcrMu>DKOr0a zI<8V&v$b=$iRdJ{;Hpf7S0)eQ22#wRZ9O5Iu zKzia#7e3RzD!$#|3mOzRZ}YX342UEw)NSwV{PuCfBmLUU7}jPzbPaju1nk1?`cdR6 zV;?h9y9tz0*#53_m=nD7mR=H{b%x4gl!2=>n-s-w+ZiNl$`Nn+q`9@uBpa{v9#(|^ zEB0V=q=w3aIHv_cG!2IOkp+YRN7rurLn&+k4LWh2EM~a(Hjp499Z8H=ghEelnZtl9~GaN&}6CV zoJo&x+jWe6811;51sKfIo#Lt)Jyo>YE8VHN#}g6>3nB}MP_jKBAuDA{R5@kG*XFBK zEJ{5~r_FROts7}ih@wQ2!O|S%1m5eauOrGp#4O)@m>@n@c_bci8yIV#w2)IP+1MeK zGCDfCWB*4)HsLq#X@GE)C}Rfm)tn=t5)Tu*GPfBMB?yEfJ%nRtUC+ zHp7AG$C2Xw%RL`s<@xMR$n;>3GiYMZo6W~UA_Td!fJgInae7>E+x7YuU*rAh5j6K>W-2}L=A4(=?5NSG7QD2Y~(aIhOMO#fBX*Em- z?fN;g5n-3%*^o0j()6-N5E}!e2GP%@5*YfX4S4}riUbU6^0giNBydm^Oqxmf%h|wO zov4EBrh;O69O!w-bB5urk&zK+kq76^$@NRFiBh6P%@Ra0UZQa$|@_HcOnL#q33`otCm+BG>I& zz3!`e7C~FZvZP3>m~SiQJP(oCRwOHIr9KhY0yDQDcUQr3CAKa*+Ji9MGZ4E@Pm4{8_~?Pqg2 zgn4M>e3hP4iLmHDGQu>e9z-~nNuc*+=>Z1~!>K90!)OVokBE!VW3@@uHqX-02xlC% zGdq{}%{w73uGU5HU}et5J)eeol!m#Y)AR^0h8aJYz<=9UeTL{HQ(YlF3_PEq^1C&e z|43oCpii+ZPjUg*k`BJI6S19fr&p9F-eRdz;)2 zN!H03Nq%CVnP3VCf7C3vg|;7?7wglSpT+w0B>vouIAbLl`3TjV=}boR!hGP}QAnlk zv50F{gT;?mK_g;vNdS9TkfP&H!>Srk>K%Q#OfgJnDN1O$23NiT%&-zOqm9@;MO8W8 zB@LI?W?NBuJVlMDAzn)G+SLl^X;kQgFElO=beB#wH|>%I#^-x-1}LV8bIj>>?550T z%RER-PH;+xPISYph~Ajg*0tKw(A*amgYLmgC~<9ZMhC`l-jAPz>-B|v-~HL-i0-{(}(A~<5L&c7J&oL7F@L>16* zfib^dTwFjpK@t+zI~6ssJYNdf_dsz@eNfl3eJm~h*B z1nZ%UvCbQ|)h}E?6=sd}O63`rMtzC$Lkhb}J!8Ixf7#E!PX;X<2bpXY&a#(L^3lbU zS0~O}?o%=a78qjl}tbFn?fEb2as17nuK{2XOx#({y z3=Nss+&!OJs|@44d_ zH8nM5PW2qgraa`p*J`NZpCT7qR0Uz>0!NRekP_M-yG;jsO6{-Bw}qW zm9?J*@#mF3uh;Y;QN_~EB#%pBr2w}orF-x~eV@!R>R`vgJ;f+zxbgbXE44$ipv=B< z-b_Iu=v|m8d|X&VR?ilgZEA;S*jNNQnZh%|hU~At!OLM{Vb~kVDz9l?u$WY3Xf3#Y zMszK?VxwOVTBD5sq{Z_A^BNpZRtNCR6y)pC)P>B513-a63xw_AXLNZ!?@z*vuq`l- zf>X6kYjZPy!}sqmpMF$f<1ZNMttbnXM+0GAOI5ozKXyQH(S)`UNp}fH=siWxAktU8 zo`9LCdK9Uq<>YP6yInolj5q~R^F`7+B!0(0Jk?;4)gtW-7b|tWAEMY@k^3=FDe(=J z8GauI21Y;FhxB@JoR{MOw}4-6)bu40 zg%`xf#6O(DXWDyGwrE}DS^<tCpxYzR*5#7xw`^%c z#Po)TLvKsqn>VNm@DJZvg`Tjn{Z8|>p)`tq%79E4JpNXT-ZqIyu64X|TE^-#2jBXI zYzK^|<7=pe`turR{X}Ygv>L?>FH?h+Fqn;f6CKXkQRC=Em@&R9TXE^5(F@=y*Xxs`Om)s_(MXaj^8&W3nrffXES-$e0HWq0`+OHs0VKfv7P9PS=SG%Ola_rW$qGD0DuaAd|ou3t*>J!1Lo3ejVJiq3VNhBaizX? z_&ryK;M5tvZw`#m1BJ!2Z@P5bl;*(Qh&D8cer#`-;d+UXh^K1J?0PFZh-GQ*L2p<} zZO(&iVx6v(pNjmg7HJ%vaCpeY0HIbTTd2l|ikM7Joq7ye)s~-lJsFLNkjlv%9Fm&( z!!ZP@mE&pMZAF3o?YJjvS+;6-P8v9LrzP&^*azj0c3dCGm=x;NeuRbWAzAZ(aPZ(5 zlnj`*$Wnwo0KUYOH7MvEXVz?Jd*~AGL0%At>Msa0C$8_I$C|zN zz_Evt@Y|azQ+>66MVvQ|9xWUMxK49pFzfRlesbK|@eJ;im-Ds^ErPKKLjr#eaN;R! z_i=kT&K>_|xd~vFLlJ;Z7V&3Vh5S0gZy^njn}wTxot>XOPqM%%I4Qb;S4o^()ewe< z!8>MFZSeK-8nQedbT^iEvO5v$9dq0}dh6S0=OIh?$BOPy>Z@_4=E#DoSAVGA8erx+ zC6k?F-w@C~aH=?nWIff*^r%Abj*GK=L-VEk^9;xyO?*nV;0>Q(nEu!K`Sf%kjM+F= zhtsCc01;=Ar?*a={FzEu5949J+QI7`i2*B;-X|MEJA`$;yaUKhByyo`FLI8IxJoxI zZP~GckC%6#0~VzTL-Y8Fh6NGE7?y5I!5+ucAbVBMj7Iaiv`CCXH$p>Q(=_%ZdK@E| z2wz*s_dIMm&qTW1_3{;(?od%Oilc?4On#&rz1oh@_#sM($6E{ZzN)(yOLVkR{8_uY zR%5pn%~(tHSiwpfhjt>bG|{0p9}@{h7Di*$EtX0FG0W8=(XUf`7pGW*U;Xf(FVu9)9Z(kXNFHuOtAX7#v z6NFRV^8ET)uDZ|Tbn8=bUK^`Qnpnm*%&zMYPmKl+n)+m(XT!rL{p}KclIgp6Sgzst1M@|arVK_QH9hb;V@B-5Pavfzee7jbw9eSXlZX4%CR}hZmH2QtDEC1eLj&Mw$WU5`EM)e)YRIE^v6A}IRe!)_5dhhqXo-`wKf2SW56 zM(HPEqj)#Q&uaBfIC?dfbu;^VN=`fIT514vh*w3>6o1kbdRp#_g!0O@=~pRv>!)ciC~>g1z#aNq%b{mH#ea#P3tL_ zEoQ6+^m|Y`dT>k+9T{U9>!0R)DmI)<6~$uy7#EhHo>Th2PuW;IeWKmh3?)W>h|iS2 zlBW4(5c!~+hJ!@I!;52I9lTvnYLOn&_PF6yvdo+CGr40@(0ds+g>t`A<<&*a-%b;Y zm7*oIj67_g#B?WT!W*bpp^b|u6@!;bLqz>i{0$9KmA#f=_JLFW%g4i+{3yu|u4a{S zkRlpsC%u4C%maSdem;#Cz`$jqY*;hfMusW?%gWAn6``T|BJ<^cMboF8@qH3l4fCj) z_C22$w2P=R^2NP}YeC947O66QxvwBH#>`Acg8Txc#}K|0-BZdPoU|WA_4wgPkyuHc zuOawYD2lY8CH$=PBpz4i)t1I$;A4Y|Jd-`qBCI1M__w8R+$ zSHjbvr!oP!$waG-AF3&Cfa4%yBu3E@+Apo>ufOz>BW@5Ya3vKM#}%r$nzP8_E99{M zkuB_jJ*psFF^U#)QehtcjPVDEco?DZ(F!d_6mJMU&1(Lj2KSMI+e-DWJt0OG;Al%| z#ZTu{uomd67eoC}Vrbie`oUT?W0()vSGZShetIuCHuWrI zs+GKE=&2gEJk9v#{*QpXgG=U#u%;B~eZsw3?rSu75cI z$Kb&$4C&6Fjbj^gA#~vnlDMe#Y5LA&X{zWlH zFEeTzdb+_h#qEVW2*xK`K%Zdcq zP@-6wvl(&xtsIzjynTu#&TuF}e>)z+$(b&fi{uHDJ~egw6n`Ure-az<0Wlg|hNba9 z1;-F)iU{MDN&~TNQF*A4&>a6$Mt?7oPF2os7Ng)L!~yFesqLtAk%bk)#K~amqIwvR zfj&D27vDWzwQS7pw>okXBoD@Yo4Kn&7$-?lM5;I|iYTnF<5VUdqZ**<=PGNW`6;zR zp!(<{?8Gli!j%++%k@}~PbYTYzw-n4aa29VD(h_(JP3rp(Ca;NY+1z5JsPwZH1Id- zMu2#wm~n-j0n?b%SsInIHW}Hx31FZ@H3_2X)04|k#Rd@a?%&vBUB+y!kP6~XW^_!X zH0=P9!%;5I^I8m`_@OAkT=xMv$?dzI=hS`JBE1-o97%vPwYaj4z~iv;jLUb-tjqRm z8N1_bPY=W;IOjRO;u4se{*agRET-YEX&}g%B^(cqKcFdydRK7pYguxA){hP9^-!Xg zF^gXeDDRZdCyedk-uQ-#InAzdrZrpVL9J+4H`_x)3und$pNC|tbj0oK<3~Sh`m^r^ z^HVr+S0X)4p&~lgWt|#_BhnH;Ay3%{y7B$imJ=&n2=4ocMshc>pXrp=R+2eK&NGT^ zv1>s%Tq$|F>ipOG&6yRx2XcQJ@$6v^Q(nRQ6kKIxflydK#Um(5bV5ki`$9zDuzfhK zV`+Og5yfyiqiFc6JlK#hFdiL0Pc}MYB#U@w!7&Cc_GPtab4Le#%0nmCljVd?y&lSzO7 zCJAC2&)Z4Q-4P@3A2f-xvTfd~Rz&F1ISJ!)^ODROx{PLb1K9L~OC}PO^v+Ct97s3Q z>jNMLmy}bcBr}|o5$WbwjMDqV9Y= z+V?Bx8$ae?<89tm_H#;K8P+x7_)4b7S>y_J&QwTj_C%hAw7f{PMyg@8M7j zGz=9FPpWoMu=vig>@5z!4Q&eTkG^kVyDUQfS3XN?>RNoK2-Xb6AnW01pFg!}7#7T+ z+F6IP8AVhd9eL8Mwf!nQxL!4vU@;cA@A7AzQ=UeEh;2?0>0o?7neCPQZt>$6Ib*x{ zZ%f>$1#_Bac|O8eVSdaL9Mkq}M+);L{O#$CQ{!BoY?7t(?+ElWb-&9_CNn+muCd>J zCu(RyCU<79$Z$Y*75FFyGnwUwz??VH?CD+O5u9D-E|f7cvuSV)a?ozNTOqt1Uv;Vx zqe`c{Rie|raOAQ;bgjFvWz51!c*OY8@l@@-q{}P;+#*8fghd$1+Om=veQW0aWzSRd zH}NX>e7;nHzl2q52ugbhVQ zMa{skn$*-(h2n<|RlO6S1bLFS4r#YsIWAn72}6*7XAC1io7gQoKcMv#zs`~nTD#Pr=YTsDpg#3`H^brp+-By^ zR%&!DST|@{{l7RiSPMrMw&lw~x;D71p_R zAJy_01fhEA3@B1|2Z-;LjynT5AHb-YkC^Q5??+s2cwDGmpaf&dS$1aDnG9%z(+7Kz zZZ=9m|F$W_rucr;i7rh4rBbMcaUQsunI20kQx-q2MyENgZ-2b+7$hY`1HQuRm}lk( z>?{%=P+i1z>`(tzAQAuQ28Q#ckn$HyU}emEv<&}w9b3G#v;?fmnDZ#jQm-uuIiT?a zgx!AAKTpl&KlVg;hQr!?y6C$o$Sog{NIdkpD6KX7?H3p*kpYhMC(DNWcix=TT+qKk zW7J}q2^qa;{lsV9A=D5P6T|$#7*#)p%x|&ZT~=teFs8WXHEUkkZD2upKhb38ZGJrau6xavW{m_bk&i4Fav&r zw$dsRAT#w#Vp~GVNUrFYx`#~s$}aFeY$^FhY9>8HJ!M?YSCm^}&*ixTPz;OX9I*q% z=NDQ_g#D#l+xz|Vp%PEUJkfmd=zPU7zCga`3w+T~S42!EU`oi?3}m+pOL#p{j3N#0 zA=y(%&(W_j696OMetg-C9?3(oZv^}KlZiFka$e>EZ`HO~)2On;y- zp((ALuT1=lC7MRb)#de}Itb#?Xh?F_sK>joQRXG)XnxI2Gzc%=+=WFV+L~3)s$|zW z=toEw#aUpdS&jF{34@9i|2k_#T3;3Pam*mJrDUPx9&cFP^@vdqz>*BE*A!tTeDQM@ zLt{tNFh!ga9zhnh4fbe!A%Z-BW4}0c}3h3THQDW5hFuXPa2#Q4J67NG^HK=6B6n7>u8|0ELDS;-!Ob@6To z=y+`2$v#}36bBigerWlV{_h@9F>@*txm^OG0MW-0tW%lwxX_{@`@gG+dU}>a85j2au6;5Mpd`*_EOBU5|6|t>-${ z<}JS@wKM14`$ik;Cy!bkdqQJ0H-}X4n_38b8B%K3$TZ3!icE z1?li5t-UEv-bWV?LIZKSfYzAep;S)qT_g-w4fCg`BZUC`6jFrd#nyY~h2aUR5K8hn zRoKd;YXPLE9OE9GNh^pNll1$*^Nqg58Gsl;{+LwZ>Sq=|PCp8-9PI>`bgsWZs% zMgl~49C)i4hfGe8{;T^=(BlD9zI;-_)z=eqv~a=x=X9u+gE0FC=CWn}k!OM9H3u1~ z8jOe+$aLAyhYyMJX+&2&lKoBW~lC2cmUBEa1mwZyTs7ARQ&Ve5o4(cB}gg7c@cU+}J zvMjFp9l`Bwci4rTN-~Fc#xt^+BX)S+C4(b=KDBqIxxq!u09AXcau3KwUCl%^svLL{B7A9C0}_cYq`S=nqvzYJ|2uF+ z{~b6iD5VGwBn`7Xy+&)gEG~{?p0PHZOX`{fyvrCw3n+I*Mhx$HlpF@Uj>2__yl>n> zyqHPYBYzra-Haec4q8c0MviA;7xwb*X1 zIM(tz{BL1Po!tp#9}BCqFs34YdPMan>z0Xq#xIgTlDb6iPFLa+MXM!3YG5BETMFln z*I5q_WnOhmqWa892WnC+;0rau<`r@d%tx_=Xx?5&;YVt5ka~$%Ll_rcLVniF?JXOZ z7_taRd|c4*P)0Caz!U%g7OY=9nEze*@2U0|{`XXwpje`aZC#6l@UBJTrd^O0M8`Il zwxxbmc0r};t@EQf5_FG}>~COPF@VfJz%Ucgff$iDf3Kqp!XOQp$6Jt;c0+CDIcRH2 zf&71sM34E7ij%eS{@B#E+Fzimig99eEQ6H6Ye3{=k6@9%Qf8(Kwo;bKHS~`3;*kq2 zYQ{LKh4R;arMGL{{#tiFC`kRU&wgP-mX)D@xVJpKw)dL!WpEb9r zcs`nn`(boQUPGC`6+)!Z-(G2-sQw6@WFmBvL3pEW=z_!&H{b8y_^B~Oj z@dG?G2pJ%MjH#|x2>8BIZP|~CvOkgLXNy6^e_4qPe$K3nUySO&;3w$+_>89Dpdtk>Ib8m zNWN#W@z4!V3?JZk2tjs!74shjn=#U}uT&SZSS3(7&{gAwS^N}m(i0J~@*tN#*jSjK z7LO-8)|kYH(>~LFcaPMUQmic)?E+{;8De181A~`h0ZlBKN?u*lBS?4nxnYHM4D6?U zXrl-LaQ}g7s{w+9{ms}5Nltc2TOhy=O1}RL3ETIgDMF5hTQ`e7_AVCEsvzIdC&`Gu zycmV5MF!EXBM~k!SEcKe8r|>{u%@}dqZ`Rqh1$cWf}fOF*;My$h6777F$^HV(JFF7 z8z)}iG{Jp3cMX3EfgMFyMb|sBdnGp$U*S3X%T+GgK4Y5i*hnb-FWA->T!HXnd5%+JO&oN z<`L#Cu$#@H@%a(!yaRTArFy_}j$raBh~Z7+u}-uBeI=Mnq;hr?)y%13vzMf%YoYw1 z!%PuWwp#_@JxDMA?NhqO{ajg#P;;k&^9IAC9uM6sq3rWh8K&?`G$~>&TDlXv-h@sW zN}oFDKHAbZYJ^C4f4{6hH{}}=MHzqS6+a7kyBDFfX1gMHn5Xn{Y?hgFXj%J;c4&K; zUb2Xi*n0o?=+$ZX9lcE;ixTWhIXhPddGsrANMNF@RH2Ujvd#UkiZi|9dy_6etc`0HdFm|e; zG%he`28#&@Fn-@YI16uxd5(ZtjOu?;~dD{y4+V@ysN%L?j3`qB%gr_9L_i=tWE)1rowYH?3{0xMhK59WV)pXa+4pm(`UiVN zjHxXYuQUlswV@qI&H;WLGO-}x7i_C#9(2?6a29L^;$hKasRbEW8|bousfcAu>(mLD zNB^t=!9#Z9*FNB3>>Y)SD57Z|<8sk=prz5DFC1PtB7`Y)TR7}=2?f5nC+!xhr=mN(; zD(h~wd}U?jXq2od_-}MDkne#G&;=W+B9;L#sS&8D!GA9e|JJAa-u@_Z35ki>C}X4((nXQY3Fy(_NkL?w+lGe$*~Ks##}tg7#W`c)yIpX?%T&gy_RWg6B~w=a0vc8xAA&fj z($H_<8270R6(C>6W>98Lji>PhlSsy;t~7f3`zx+Srd(PeKiqi9h+h6{dHm@AyD(sH zeb~i*1Go1~cL{XT=a?PN z3;B1>(UseGN;Iik?w{swc~78q7?lg4XUrzF94JmG-jJ1@V+x{X$>y|7YDLgSUSf3g zd9L?0&D;M*4l~%Q&VldzL`FObv;U>ecJ>$QwGZ8FLvOJHlZq!C{x7m!tRlKNCD@vr z=nuG&kw-cwUZis6@ArSO^9c^{ZrHND;3yV?V}CYr;oJO)kJc$M1R`cMTf$WWwPVP+ zN}33Okato62Cn8XPCX~T6BX!ZLIhQ6}7l!#U2tJZk=jo2mg7AX~P>kLR!J!{UsFp5G z&-?thJ(K_C4X}gU_82!1uIKTRL8j3lmdYtTs@%OLRiWIiP%iq}L#KA=;WW)P7C(Ny zEA4nASTukRA#)yLU_fsxV`V6di0*&R?Pn}|JJanqj|Ey$?5U_XjS~Yj6VqoO6UcvL z)$HBo8nBewtjSV)9JhRC%)=jZC&5j6E_8Pwj$akz?g%>5Sej=u10cH_N%P2CZ1)-S zB2_7;X4ztoS_&exrf5eW4sz5y0EZQ`T4*RiXRM91A3x47*zX_e2u4NG!f6x`)aw$c zUHLNZ8h1`o$-U~-zDITWzXNOnl(dQB{9<0+`TN2bf4K?Ds^HkkOMf!bBAfv+fQKW+ zJTHOcQx88kH>?@C0zF}iuv((O=#%#vNZ-h5JU?qx0g1h zF~boJ**RD_Ax|Vmt4 zLpTb|%Dc|u&LtQ+ve9Bq*!Md$%>hdZPBdT!$__V|PoUC=(#v6=gK^ z_z|e_hrr~?irc8Hzb`LcX@Ayi3im{G)$%)L?$j(2d(;)oHNmk8E_TBd)q?G*9W@}V zL0I)JLcjWj6;6A^Ngb*6cIQS1TW# zPZ6=Tq1d?&SR1*tco;tP0rBFJXGEph^yn0d=X6&Il?x*y()KD)|4m)kx!?Kz9qk0n zL4EZ9yZ+}t#CI}Me@ORSED#=?G#y26s``wHt`D-*6SY<4SC#FNa?T1DTbO> zK}CM_!3|z==6$m#--Ronqm!7{f)gm9Lv+T`%vJI5Ywmo|3Ym#bhX)vsWcxr!YJ5F| z5UZrh1`R6+gesfi+`Wd`wI_olIQCg|UZi5hZ+!^S!&7(c^~fABLW722JtlO>C_b|S zM%t;-eK(y*4<7tdM*%c>boKm#lHunJL%bR+57LH}29vwq9}KJ7CFH=lxuv9PP1^pv zoJ1!uTT2GJ&fr76%Nlm-F}Yje*+VgHLN69YanR86gy4GiNY*iG*=x!P^UC^8VnEIz z;@vVM8SQ$0GNSQ~dc@=wceEbG@#Q>yhVF~DcE+HPQY*8E4uflyc!EqIb#!hdr~WFW zk{;Rvug)S>1COsCsRl%vRFB>zGyx|5w&qHSX)wUio3O^bz!hV+* z{m`>57y|gNt%P zfF#`Ocgf#>qe1^Z07_+|Q6#yvMDQ!TtTOZsB%;t?55X-5UKob77w@16byv2H=YSwD zFBxKJ_eIh+%p4`U0~j?VGyy%2f%BD3ort--2XzRkxsc!%_$t%)ShD*!MXEjx_e}1z z*5WAPSKRm9)o%FgvNP-{<%C!o1e|+`PcoqC#(=rYMLn~X6{SM_E82j5%XhACdSxVxie3PYJ*mK{OR3Jn5*U!ogf ztFAw1tQ19T;JgE`ra|+CZfvw2fDrMiko~U?63GL^Ahd`&5)ML!+@|7yG_U2j382tN z`#NGCYLkAIwR7t4<^}~bySOri!HZ^1FFfzcjv=G^hDCz3qUE>-fx?oTSzO0ff}o0*uk9HDpURZ z&Rn+;vN&DXo9^KYwYBCnDd$f&%ufm2D7My4Y!N!%WIx8Ea%n`fRVw)DicY2J=XNoi zEJk{hFr66C9VfErY372Tyn}7(tLoeI{<{gefnM}l90->|Ba3}PnAK1K;%~RV$9SAr z>lc8&4&a^T{>?NAl9!6%YEFIa^jTH=i%JV|U7=Ku0kNq&8%pEF14gZt#JVFGon#+F z8cd5E6F|Qf_Heec2>;WCUm+vH|4de|TG! z`v%p$=9TgoWu6Z9W+KolKKF($*)~Vf9U2WeN%tWN+^~*h1;L#?B*iPyjUc0NWW83i z9QU|+p@*i!7|9p5#?Fq3tV~tFV$t}KgmynpIso}-2kqzpI%{6&$@e2ATA|Dk!#&ad*a#ibJ)WGFZcqQeKFUl$tZ!&`|G- z;e1x;3!)90O%ZBl)DMmcTCj9I?bS$~N%V3Q_R*Y!C2Smpztx|$BpSHTYThM3dnhNN zqoJIAq~QaN0$^0R<90b6KY+Mq~EgXZXhZj zdat}W2d>OCNvJD7f``YInTM@p!>%<>#u~vU$w+4O2}aPTA^Y!7+zY;#s7lw#f7@(% zdq|4r+69jLU%UGaSTn1ULabKS*4AvNwP$Z`toI@DR(AsKPqvNOmpU3b4J&?gT+rum0$k*-YW$(zA4$nFc0o zaBgNV^UX0r^o6n2580A3$nA5fT~`YPx}!!*mJM?zYwD9UjYN6N@~oe(M8-8-9xLGy z0_B$TUefLYW=V&Ar$7_W-mLwcF)uP?Mgp|6^_D>mK8YAPoFNpI&-gRpTfBRn!4lsFMpiNtm^@ zVL1bk z3vW9=(aNY|R(yD~B&+5>aZ+uYGi;XP!3+Ir%y5^&&xC1VwJr{lR5h^0*l`9ik@f7i zy+Eg?dZF$ z=$DO`VlPCWm;2M?E|EqfvtOh`A~nnQO?qk&Z#sep{RVs)i;1Zc>ONUwK;zAYJxZA) zAh5kHQoVA{qXr!$-dVD_M$UV75&xs+J!5e62rgh zFRGJu6oV>|MydrV@JrDF9WR14yDzpL)o=Qi1y6qbK0cdEX3Z(!RrbEOK#mBVv^_pf zZ~f!5&_dk5C2a>W5puY1 zu|VXcw!M9$&i)gB7z*c4x;wfK2Az6@}P@CpO6o`-G?2nJ9Mi zGUP%g(*AR7y*tx?bDHis0s_L?{=c9P^u1$`t(@_}0;oP6ScKQ+Y-iD6;bME^M^Uel_=k54K zbk40t=Ru0uoF7(RWP=}v zL6M49WN%}rJ|}R(bdbEvwR0=&6WBeug{0w=8Zqvn&KuvJ8%=*YO+C>&3*i1obncGP zrV0w9);9lVOJ_^X@>&dOI+i21qfBQ;)a(dpnv4bv`%1NW5E(?fsGv@vYO9>^p}6P2 zwD@#rz-940dC3Lwu#~+LU1*<|<59?8+-7yu)AYJ}2;2+x{wYP&kcF=+HumNabANcl6ZSGWjZp1ekLLH2uHQnX*hd2Lq9u$E?rf~M;boM zWxyFPkzeW*X!hrBM~&QFkr)j%`}@A2jJxyi2S4S$lY@hU=ey%0S>p_U0!qkYx8KKN z{{&{J^Ky?iVEN-9?&A&FQr&?>7a;mRAwsU}FVMf2G!+7O2BoXgg4)l!>UXZY`*t!k9$!Vvde$8NbNpr#o4W87 ze>!f{n~jLdhes7|sk_%ucGX6FLb&ae9*)tD`VdxD2qoxZ=+GDE=|at>;iq zm1XADw<}}=9kw>+KWvY^gG5qi$fe2H2Z}I~cg`+QhjT=}&6UQ@mk!tMQg|@N9QzTv zNxU?Fb@eEjl?__%f6>Hb&~I<`LZKxsJUbH3?X_STNyBQ)*?&zEFBu6xnQ#=vO^#Ao zi2D$@=QR|ia}R%{oCEVCq-p3hS$*})IR7CzdZxP)G8y~?hu*3=!adOv|M|43H&l(t zm8yR#xNxOFw%-|ZX*J{9vUWdAOrwrH+NDgz&NLKfiVk?CfzVY)X;_(QDj1Hy2OuO( ztl>_H8@k~6DZTPe-T2)DA@qCK)2B2@IXjHSy7TRjhf6Q6{284Zr~csIY{1X@UX62+ z8@L1A+>e+Ehd%{mE-%)&8Awyn>>cH4(9YY ze>2uU)(t>$x~Zh9qOv5Pxo&0)?W44?8KalMV4}*il^^b+MPAv5K-?9S&h*J^KxPjt z-RwkQya-OLLlHnK=w1(n{CBEbJfyUV?ij4BVoM@tH%^yr(Z-qP`=xja9-W}br9KsY zK=<~=$oQqH)TQyj@9&1)ADP}`MZWav zA-R5f3eu;vPTp35AcV1=2VhT5z{lBHKlm#}-$-X{VEUcH1KDhW$ZwY3-rhr=%q6Gn zu_e%=hv-w#D{6(r9ii>giN*Z&C+H*+VTsXx;6EHESIN3eZ-tV=lrQ^Wanao&zk7?~ z!-&yJ)I^ESx6_cWpQZ-iLO({pQ}amYCl{g(0k5H+4T$oKIh*3Sd}@oMXrZKH?i)z9 z5;KmA7zx!kC<}aRI>LZZN?99wi1KHCHKrKdF(ytXn^5G@uZdql@&~1__!ako}RnJB&Ifjw%;nF5&~9 z`-#Y#0N9#o{9?;Vk3+&OnMSc#pzlYQR=a31Ho>myZA5~!RT)sqee1=KC|{3eVlN+S zLHr2@oo_Ejo4%8CBBr7^^qHnY4YK!wlqBl zQ017SQp13;PD&XHg(gn#6$k%pr5lnN&$RVVYhD>0Q}e-#3`URQbl})6ZeZoqC;FzM z5dO|Iy`-1(-0M&FIyTLxP1Q;b0Y&zRaS_Q@g=)CvJ@ASquGI(`H`~Ysz1`}cN4x*E@|x8H9yw=E7C3RQ#m1+cyp)w zR-(QL|4Cyxp72601}WGzZ&AH%f@}MG0@4<8i5vP}?5%am7oSH)V4rLqzOCl6va-h6 z7RH-^v+gMDEwREs(y;bx=Rb_g%vYIbXH>kqMXVNVGpWSff6BQl!Of}0Oj+=BLkfOV zB5M`Cxu-yvg*q=ertQ{JMGIrc4ZJlx#{A+2x(hfYw$F35RiF4NS^2k4gm-f~Rc{;n zeQ`BSmLmPA8r@7JUDjOpP7;WT!KIp1-=t?)>MVwox3Uy`SKY8 z4_EfgKi~87#El_%Hg{1{VwB;u!L#|L0v;+pL=GyUuNIpf8==LMlH!7n3H>hCx$l|o z7{#}G#_>_3<6DkZGUR}0iHfKfzgyZB;#74*T2QO2d6sVwf<81Z@>&Cx1O#FE5^fHy zA?GjZT~1Pmv@EVN_OB%)a8%K;hE|pP;rsU5kHQ*5c~$u6yME=a`FMMLN*z{PNOJ*j zgp!y!Sx(c8wBL;Ao2Uf) zK0>JbC9*jB5BNC%c65W&Cq-yAh0|BGKPUnyFTg>Ve0t*B9I`14YAaU6N3mTuYkBgdscK~)xL50)V+3*paLORgDs}+4lXyxb-(=d zMXuKit2JL_E`k$6+R|Cx!8ktVpFif_xmh`ns^nfANL3`LV}u@4)~>+bbFyAD)wZo? z(p*2+(BH{zPzQ^bB38kYvnL>AdI>wyal-tjgg*-2?ASYouDuf}f7ZHs)bMVP%R0v# z;RD8<+S(RNm!nWuC5a;vqVkQy7%f$Ll#@-1NCF zq!r4HH>yLt=mv`*c?c>*fN687oH^c(et4i;38+ z=SZEr-Zj)o|3uGlUt&Sj0H}sRb4yrHJ8i_USok_8^InD^ZTRtWSYLQ@{& zRS`A-urMhbev#n=hTnlD1-`Ig55eA^o(Sz?Ru?ao>phd?;S)ikWy>>#2}$bzGLnH5 zF9;|QI-)aQm+hCIM8fxf&tS^ocRV&-Uq6vTAt}?Prlw+#pJMK<{$~;8-3MmiWNtUO zye)m#z?KT9_OmY0EsG5v`HP=Q>BI0QWktt_p}Qeyf-TtZ%o z5QE?gavX|2&oX0h>?K1q(qZ)@XlSF|ZnIroMj6ku;5RGfZT5sy#a@L$ikP|v`TGNk zBqUOIeYh{HM99AIx2iBE$A^>TDQ8GaNuvDvJUJ4>d=&^jq_klYwK?pCCE9N~CFShR zFU@4{>QwwfDb}rXz!n9R9s4!_b{3;pZr7R}9g_?9P)Pur&kh;AoSJPAT2FKdkA2LL z^=hF8ILbYt^hC8zE8oe!FJWI;$G4M@+mmN#hW zt)+M6M|1G(<+U(}razw^D8QsIvD-AWGJV}8<9T4F=0R13xw~0hpXg;)jPH06cL~9| zn=6v*tU6eaI@nLwm^?kTbG1!cgSV54ShQ(S1 z=7qf*2ey&?50BDo+%TBIAT|ofTR@u*83;ur{gII>Rl@S$)H`rq))b;c7CHeyi(wKd zX*AcLKl)2CFk7GgWcwFkgQ!BsfaDv80j<7ZG3>Zi%WPG6*LvN3iKmX=A5BeXT6yiy zPPxdZ{;&Uu^8B?AXLz)CBQV%XgU`G8I^a7UHSw|!$61-E2)xW*eE?yM{xUi+uh zPGr=LA7mp{K*i1)3nnDkfjI2TTR9H~43K?ah(?Qn<2lBv2G z2oH>q6hw;d%h!*G^OfDAnc3OwiXr^V1PB9Jq06_oyy1!$R5W=1a5FFEM&wt+idM9m zk3$$_E$UK9yT6*Y-@Jxwxe_(WUQ|dZ#Q|9nz-IuqRUl~388IgRyA@_goC|{Wnn)3M zmYf&TF$lFkWvo2!Z(!>Y{@5RE2-ztYUX0)TgxiV`+~nP>^6?bzYs;eDv+7Si>b*1PIV z1g6^QV=u%SpJM^P`FqdKwjP|h>!s#o>IBXe3-`T6;-?$Ihe=UpvaJl86W zhZ-+=n07M?jEkqGIPOcU7B({io<_d+C+2PIIq7Q`)0iEfw}4a?#VdE3ytk1oB6G3K z&b68(lC%qgeq?7hMV`nJ2Od<;snO+jJXig9FYG2iOi+Q@3LV2iRTXiU8)mOm?z{Go$>%aEd2IE)E9StjZ&qqCAy8_$@RlN5PA1SsWLKe_kGw z?G$Cecf?7(Baj6zIIgNllhih>xW9dg~a}#(MF@s=~RGEbESf;fMZ35p{w@76wtbR(IpjfXJny= zyKG^kSWz}@`wVD=bHg2ER!)9@Ny3QH;AzKt83=Jo@YUa4a~^_V;mbvoO{T(`(=^6u zZX~(sBD*- zX}?e8!8(;%499Qxr;E=0?-`ymSDUqC5dsYaK1M%uEx6LmVCYjz4(85)#e_iZD#8x2 z+AyA(8!b8@*x%a=s{wgLAsYT1wDSbC!2sV&>~$@(tf%t2uCqU=1S7c)a!Tb>ri!kIgH{v1WA86Pt`$UkW4)1)^ri#x`< zI{qKMe^A=FmW;XR7~U9oF{q6x6N;f*Bf(CqI^F%o&aOl;xWw~VLg-8quqaFf_1-k! zG3?Uu^*2AIQA%NAKx-}tDXabX zfxY5;cwZpm@8#vCqu~4g@&IVRe8K0NyOMfPo+hNe&o0%(L$G0)mX9*2Renhs(-`iL z>0eE#E3w`$YJ}4NI^SR*^cL$^ovI&y$W7)oIsvZpzb#^~T(vpe2Mrw(q4o9kKsYl)l*ZM+ny!?rr3q>ltYQF(}; z3no6o)ovnloNz_g-ub(Gu9zR+%)sQMmvzY{qlCv|01~EqZWC*ViG(Z8FCoT;TLoF-};vAOt@WCh!L@~ zsg(-OGnqA7y~R^;nqpfLbd-i6)=vkpM)sf^Xl9hffAU(;HU)(UN!2U57MeK(~-hBWP z!j6x5G2{+a@M{Ybm|Fgh`-w4nbkzEGFj80EYtgJXh^LdcC^dw4WJK$pWy*ZKm`67+ zTAkwSz%9z%iOO4gTf-w6_f}Mf%K9u5JgT)1Wc2(hU*||L0UHvVh}?MYgeroqIRPpN zLUiu%uq+H3L%AR=_s;`=rM)Ru47U(=bKh*)a5dx4d>K?KQoWnrQD8r0 z_(;u7aXr4&_~D8m>f&Zp7LHB{oXj(z!*(P7vJAWwszYTk$@g@JBI>HO29S2NFYeQ*efc z!gbbwf(kYf?^O9BjXI`o&1-5Ztf5ag+NA7ntAV$;9A!}q4VUmM@P1)*-t+vpQSAQR z0TjyB$0lw3cyGrB++Zi-Hm#O-_m3M-GdjTOSvi#(CDbmt{4Z2wS{6^D?1r~+s~-E?zZ~JZUaq_#WOCS zHT4weknj~Y9l-bhrdiQ@;EtIzM{C`=9!&eL0Qfj+mFR!{v+row{4)zISq4JJ7icK< z2*oJjtnhRQ?<5~0Qf3KX%d7UrZFA;Gur1}uH4jaP<<>CXGdXyNqgJ46up|EvQyR=! zp7>5_P{6Ldn*qLoptsd1QqU;Y3VMk&JMlS~weYlwijIs>^9i!{%anGGRJBKmw?E}3 z2g<|He^Qtd3unm#3ZMR+ovkfkY36@O27P+3Rp)_sVzXe*;Zd7M>k5Xzo$OE! zafrec4c4;zGSwh%uh*F=Kjzel`-6kl>sJjR#xZ4m_x_w9-!F&g5U;CN(D3eiFZA5q@8@gTO9=vyT#;^_x;$V)p{;U!7s@rXGJ0(@hYD8AV0 zmoUaUD-?TVDtWc*=Jy5OPYjF)X+=!pW+Ibe^fkY-#ZHO)dU|@6ERixLU*`Fyj`J(Y z1w)fsv4aRCw#}NMUBYnNo97rrXtpr!cf`f*e8_qk26{Y~R!fVC5;TY}m56>a-Y>fgcl;P73orYmeW*(_G6t`oi z(7i+6gJ$Pk2&jpkj*F4H@Et>(bgbbrSUPp0McX#t;@RO&S`V1iQlT-eI6#%pLwpqwegvVtY}y){7k4Tor)hAI(V<1K zP&=-4r4j(R;#hfH0w*hWE}S3)U?b`UKtW7dw`ll55VL$nKn9W}LPEnwAQq5fU!J?d z@#8xH54vvpLa&G6`XtYo`yd?UR#0|7I#_hxy4S@@Lnv6qm<2oXk*xou!%CH9&F9W@-7p45TRsFT3yQV!JD6MZThLf{d#)oSYRt~}=YZhzQ zZ%|wqpY7f3@yxQ;81lRX=Oq4A)HI{`LSXCrX9y|WVv|J1D$rvkfWhq4t4)pI-Z9A zjb`btX4irSJxMP6e<9|${K8D_?tIPiLwv+B8lbKNQJagAc>JsdjA-}vyxC)*?qc6T zIW?VZ!#4j|Rl81>`Zo6(dCmah!&~>nn8R;}HL26dYG>&B>p0o7gCDkiu{}Jw_!!u~ z=Flihi@#vgt{56haw9mkJ@olJy1Kt;ib_s#frS643fduUa1j2{T&BLaitwj2gT9Ohs`mFWYBGH|G%xC#~-$H^n$#-l8} z^m^SNi9aBMaA*OXxr}9pZonD|H$T6wEvNr-Gk)D$P%mE!`vab_7^kiN5qRH2(|*bG z@w-LKKy*SCY%T|knNlakL?OVs+_hTwnX>y0$L#6yv}RL2K7>(RJbfWskhc^N{AI~h*~gbGjd}I7&q&Pj0o})kztWjH`lJxM zkHrHw^xNgeeG;LK9KwrH+Cl+b)wo9q?puy?<*p0UUmG@GT18HUVPb10)Pw3UM{zdo zt~F_rY74eXofqI4N8_QXAhI8kj{#BcXiu3r&Ca22Y2BL~C3-~`uKFVpY7Y(>ANHGt z!bqkq+dsscyn%)vBad**;N;d%3d9saGnc+n=SCCnFHPAzLWz+Ps3 z7QDcJGTzzlq5=Yt0fQ=-Du>SjeH*BoACts;Qk>@%i-7Wd>CZgUb)}rNd-nH2gm;|p-=>d^FfBvcF zETQAcCT(?N}0Em_}TKzy8n#!>i_-4AvcbAz1 z!(#=alM3Tr;}W)!4dxyu_E)lmT5W!{mM=|1rAT*N7^Nw|jpK8>FU@#(baVu4M)?PX zj=2hF0jMK4JgHS+Rk&wQ?eBC%VHbk?mqUhL%_U6M@0VURkU4sU|3}g}2ITqvZT!x* zv9!GGTGrxf*>)}0(z3Pema)vGWh~pSrB%!3bN>EMZ+lVQUDt{4aU7qc@-z05SoXI! z7It@#deTbDodY+9@FJLG=y_I5W}!hSgTDnPJ*3lQ6<@r?+Z%M7J}kB#y8~#`<#rV! z@C5@J{H0dwXnKkiZA#qUyd3BrT*PVC`GF=%%Vj&{Fsjj1^9qbFj?|*+TOXAL#ffi> zZT17Flk3s(&lo4SmKXB6Ih$M)iAL~B_EPm1;tL9VV%icd7qaCNHGIxe%pE9^g55<$-sVXV(!-`c0M1CJSRu!+U%{;M?_UP|JF|lZ zc+inP`SQ6*SCVua{ijZ)9D~&hQ0ZA%S^b`m3|Aa)gG$d0UyuC8e*PhYWKS&4IDu5Jx^Tjvi1XZpWloW4MpXd=X=TMeru)=>eR0#~m{(S?B-q*I4!YylJGcnVSyK?F+Y70Ha zk)$()>f}12(ULl}N9HecbAV}0SS%3Huo7DOv9q{1DuO8<7nc~JRW46hJ>i3cXwSGKq*|cCLUS0Fr(N9VK z@g|sba96Z9%oWL=OgHU@3Izx}b@_^LTd5s+{gv*x;BUgGH%b5hDiX`LXR5hUB zl;a9Amq7TXQls_ij(5L;%780Ntkve8SDyMdKTQJ5vs8k3eL}QM^{_*%wX^eerSn<0 zu(P?DaLn+Lx+_=0Tqro{FE=mVjNOJD#)nr%1~$$#0f^)2t_ova^&V#y{O*mBec^Xb zMx3qcA{D;P4S@0p0V~GUN19+i*($R%8Rd_Ap#m;HOny@=1i*_^8BsX~c;-p_`rKd8 z+`^*bw)Eh%uk6H~Bh=4TM)4H0yCfmM1 zjYHxGaSiZ{1DH14H%SSm=Mkc7VA0IF1Y&IQQ3D@c`sxI7xHyK!7^cbZ|JFrm|EK>q z;lYR~+`pxRcpDr|%*0F+NxcGjFYpQ<9#WjxwpMl8i9pr9!Bjwk#&35#vS;ZZK}$@6 zzcblI19-}{Y3u9jS6_3m(Xq8^E$fpw)r!3BG82cmimFmQETj5Y?Hv8Pk*zoY_yjXH zBmKUp$H5G*0%Hl{B8#!knXeZ^o9IH2B%0}u{i2gKN(tArN$n$!z1_Kbq)jSZLVdqe25Bw?oV>dz_Bf_ULjQKErioyI(U*4Gn?&OprUIoM0VMfSxK-LReY zR$_!cX&S9JrQR)C%G7zR=0e_K@7C4kn39vdngx`y%ZTu;v{ZRHyGdRo9emS5!E3Nmcip_d@B9kF%?Ed@eN0-ljf`rMk~wb z?Mwe6C=+{UX>I{lG!W`VnJ3OLJ{T}im^jJ^yT_z|%II^ZmE~HIkVJfhL6jaXz`cT$ zCYPDJE(A^{aX9R{jg`L|?1EXu4I0NNIO;4O=H2abO)5rL z=Jq`USzu>k>iPNk`uZBI)xlwF7$Ye&NU8@wEyyG*6T`{f zX-X5j7?a^E<@E833NIhU5?O7$-sFt`?8M|sV)?tyGO6H?0dM>PqH1TJUQ757Ju78N z4t=k@1K+FbTrAlbi#_5=&mWl3Y(eX9czg1k}h%MOX z#Zut`o?(=T2#-7FCNj16NH&@W1L#W_r_&ruKZclo{7m{yO^HaOrN7Wkij&+;mb%s; z{S6A|+|$`b7riL|RoM&6k3+FnxR9GMQ&rL#U-_-2ICdZTLs+_%*LT^)AD@H_PT_jt z(PpeAMhgq+8d~2`f3m$YnX;ui8{x;1KFYOii>%>QKx#t?WR64{JH<2#fl2!*7tbA8 z!p%-f1amjTNCR~XOU2DH6?oSXKAH4Okv@tBp3guoARa!K(a^c?Gv7(+!1Hta`g)hr zq1>USTcg{}VRZm5Tga8zoHXIr!N>b-#AJYfW$df`E0aTq)ucpIQw=R9XAI3*a9P%T z%I9TZK8o1M3F^Y}N1371+(5}#s{ESJsN$Z#ZRg`j+p{l5C>U|9uB{o5^nZ8x`t_@? zZ>)C+9hoEiM$b6}|1EG0w5@G3Lgvi!HNdW!#Op#|`&Y>Cg%rKm0)8en37grhrfCva z_?UXpv1?DvG*>9)DPPD=PJn7J5x;j>RH1QJ_Vq%}p+;Bv%j8G(5|*GvGrCzp4E5&V zW5gjeIvTm(bSD;LUK|onz@rnW50`GLLRpBtkCA)h-UcUca&(iaWmICX7u)L1A`}9k8fle#)|OsN!CY)>x0v6T@H@(#;S{ECGGMg?!F5t zQ#XWsFVJ}>^SiC8t)nBYN$Oc+S1(&EW8vUE zy3{G`T~W!(dhu7Z4QCC&!fof%Ge(nPR^r0ZX!GS??)s8%nY;|-AkDh`+g54ei6GQ-u{nC-v$6}=oL-w!3yW!*QrnFGk#>J>hk|9647)wB&}!&MXS(_3S(R@$)rp;E~QGPG4;Ek!@CdbFzLcXu2)Pt9%il8GjBpP_*4Zi z%sO7bbXFWl#nU0kI0|q}sed4~&>%Qu@ywU*PtqlL5Ky^KbPt90dnjN1F1U&iu7mdX zB9;fSuSw^eYV5ruKErr_B%DFMD6d zYF~3CeFS$lQ=45fx5lQ2&TYk303A0LW1A9sK@COwP;9}%8IN>`Ujf_Z@X%~Hf0Ak! z)G_G3^R}j%%3=HGbQzSs)k9me0Zi%Z3=P{s{AjR5(M>Mi-YA_aGPh%>%MiVr;H$IK z1s0VdXb6pE+mJ<%c~!yu?Xy>VM{8@o82>cev9;3-Ln6w>8QGis0_9Z(dVUACANi)n z8WL0k{W2O^x_#g<9(+QXNR?kylS0XQ^aKrC0jJeN(R*AQK}lr1FG^U5O6{%W_NEyH z74n8w9kd{dz25ldk<7pUllNnrJ>szKC6%?iz8eRlSZ;Nto*ple6Lr`;0IM$Vgv&cz zWq=qtDxdNNBoo_1p!`w63__=ps|Erq!iT-dSV%u3sXXhslfG=)48BbH=r%m7Yp)}OM-ztcrkw~eWqoHHPAhgNF>K7G>CUpU$HF* z!`(4Vb`wk|&=zYcjX8F)IQf>@BQP|*ca>hJp0X$puAdUwwC}bE*FZQf>#COt-fk@o z!4r+kt!zYv7^7`yH}t*Um$o$!@Gbc8jZei~h9`79LRcF%|6AB!8;M^AdecaumEp1j zlsuc2n6HRJuw10%zu(Tk7Hy**!QygFwm(kN<)K5th9TFx9&;kbVEpk=EapCb?%*8! zYSgXt>D{OUUj_)r31s&el-`oSdxR0BNv})7x3h~&1FBT!hGk&YANN$1z+<9)ET;I< z5|fOb1nbN6XdA!h>je-;jAHHR$|~GOXAeXa1%;T?N~^}a3L>OYJ3a~ZP+Y^?mBwdw z=%W!s8M{9Rv@0{EFOHnK53#rz+Yx?Qq|x5Zn0kL80H8%1ozg0?@zKOb8wNNF&7ocr zBR$~nNPPe9a*uB<(eI`{XNwk->^Cmrg&u{=qT8BRd$BV4D8|_Uz$-H_PBX-K1qSRC zm*8--0gVT}gTDXTf(d0Jv7kyAm~?BWbqOIEs23?>cT(M>jRxr;qg}$WE=SqgHyTUA`j^yDoormtu zW}CngezKYz0{BuFx+?%{uhtlhOQ}fNY9~Uc<^H`%@I=v0Zz-Y3TWlVpp%6td@7CFn35o>|_wXavbvYE}=V^bZeyJBsXEuokJEvRA zhwXryUUczV-Y+=Y4kY>Xf|r{+)qS2!NzHM;DJ9nw27U8<;(}P z3|!6`;TZA^gj=p!oJ~(s3US^mxLK&VA~8Sg$}$s_1LKSIe(iW)LcCy8-r=Lz z9_3+%D9E!bWS&!7^rOI5Be6i(y~@PYjwa$ip*qHta|dqqJL74U7nOxy zEVbdM7kNWQRsDyLFLULZ4U!nDI!%f$Jm0td4r~N4h_2c;o@0-~?c4ao=8w3|hO!OK z&OswG<+*#?^JC}hqv7+RrXEGKT%Qene*di3`8FKY8|GB`zWe);&L??Jkm-JG16kOZ z^%3UaRcv_%kmXh!zX!9l4Q~%UJ@u8L5Dnl;0E*+JRH+@+e)QUe&nJmAv~&D@jFVRM z3J#@rC+kPGkAa-2Ka!Fm6Y%;p3uri#oMfkKez%kgcGhanfUG zB!wzsLcgd`NTsEi6luwApipv6qIIZ~Q()#1emDMBTl$gBNA>>9kU>$ZdFMkM1l2_aOB`mPv0a;UF_DV59r9d z@teoj%J8&Bc%pMo7>6UCNLPaZ2Gke??1!|qo6Q43UuVVTs2`f2I9qkg!i zmGUghmQ76yFQv?9F*~huWDQ{Ljy3QK3Zj%=9@@b_Q2OF`8z}kG2LJuCE>*6hY(=|e z2Z&?6!s@|BX|!)7*@*}`A((0_rtM1khD;eTBp{)c}_6uHNd zjN6gl)VGgT>prgzF* zhoygSPpcK{`ea3M+irF&rzjEO4^zH!v<=P}xp+Didw4?FIeTq@@eEHUT97q|MJcpv zY--gm6^~RG{8gJd$DW2Dz0{5WCjp0Zq^!WwTGnKhg)HW+Ipk|4L^LytO)5|-`LNxO zvMdR3oH>l(faURY$KK}wToHSF7Cf0kURQ{Dxp`F~vn9_RT8WKH5I<>4+%x>+!v%WZIa)Yl-1s7OZkDnx6dFRiT370&9Enz_BipRx zYtcE(duAV$B@qm@K-6G6IR;>9S{)uDc7Cwdj>LwrH1>d7yajxwX}Pj>LKNav3ER6f z<`809F=s?_2?B62n=vy_ibXvB9DYIRKYC(UmTc@4O>HVcTK&)vc1Ia!(_qtkR&4h2 zZB)7v*i4t!*7Th)jQT#w=F>gxWjfG5Ock@g8`Ng&^Y;gx#KUH@2z6Sp&ysdkQA%8#j?Pv#78(oCg?uMdW=BR&BX4fG1;9)@VVyrYZ260-Oht7>(~tTC(kX+HWgzQ&nb^&3BC zFZcIk3;?Pk;cuGMdfZ3;AF*P(u*CQ^BLE!j-@dK)KsId% zIgeUTK+m})|Ia+&7_xKJzS`89h7wDtFVS|7k9)6*WcZotOe5QrYyi5ztlbZXd{6N+ z(xBSKGKQiz(oEut{q#ZBBLN1aA+|K|VVDEgSJ}-rP+p+LdU4f+Iv4*$EXk(EBq@dF z!#!v%{cd1Qcpv76=a~6;yc{PlwozEX!HcHFILe;3gO zrn(qYfVWeq*|xFJQUDIdLGZnMsd56b7)`th?iOX+a9%%S6;h%L?=R@;Q*YRd1$@8= zD!YDLuWtTkr*ZSixE3iW4wO;=c9pmY65h;xg-b$ULM!D%-gtXW%DJW|=XaA;_0i*- z8~i*s*D!WY1J_G9!@a92mb)K zNA#7}-IlMurUNsRyC|3vl%)P*L3s*_!V+y9_WfXzp zkQ}Am0U}H>AG$9&f88bIXVwc0j|Td1ictHXD#*rojakf19;@*4rEvRXpR$rP*_W2X zU$g~u3tuoIhh#{Zb|pNrD4<*=X|>XMvVU2kF%VV6+)7+K7o&u@C-wKMR)R@Wz+{)+cuAJUB@5JhA>&LWG z+68uyXY;_OY7zHkyMiwm)_r#k4ZmeAe*v9!K*1&22goY) z(q-0u|7T$!h8mf7&6Uty1Mi2+I3Q~97~T!Vpp3>)##3f3uv<>fEt7b>e0x0?$yoAx zP*XPNIzAs!9Dk^2a&WvqY-^^NJfZg{`p-t+&T)$m+MwaCny-1v7OI`~@ zkff(E-IR6s<_uefq#mLNR;a-yXjipr)d>1rZzp#2S6xqx^-xLVvxV`X5c`-zd?TV&ar zXMRp$=&RjT?;jy@|GEfzVyw}$x+>i@kuW)Sf+Lfr3SIVPfx?_-d6udZ&@48w4`zV> zCj4GpE~8A(@uE+RMt`io*Kh*d1J2qp70et+LRg0ERMOqxvAN>2^^z1e)$@DnJ`|pR|7b6RRU3$W^ z&3|9>6RYSQhjd0}Cg_#F2g!Q7Uts5MPzETYMxC*JmkL?~2&ydkB1SY*(-%UgTBRC{ zQo;~aLN%e;{Y(WrXNou?C{xF%z3$#kI2Dvt;Q7}LpiYn zn8aSZa~6fF3RWsf_6_buckYT~!O~sH6TB)VhDt*7IVjJXA}GI_0#LOG7qHw#QH2us zNrDJz@U61@em&#_lCC< z9DA`tP-XGTXg|I!(8b(K+GuzMInWa$fiUyd`w=`Bqwj{j>hv!9k*epv$o9Q5hVF0H zd6fxjD(c{~2LA7=76J2ocsM)?Mo;YX^v~e(WFS;CE)LC+KeQ`0vU_oIV!wZTCdz~1 ziIzOAbpiB8HWn2Tw0Ru!%7vqjQ=m)&GmqzH1_HF$%mEop-j3n(oMHMAET#*7E0ckt zk;Q-T0Ij#W*YfawCSa>e_)kK{B=4}*DnjiJ&5lLv8ck?E!Lq{UD}(yVIv~=Q3Khoi zz)BS;2YAUsQF^Ab0Z?#kw0vn#FnCxEeTv(^iU^}DWtHn`3D}N?#0H9+^&>g(S{E`Y z_{rFwQg?gM-T{U!np2QF@r0(_f#OpY;v+?(Zl#713?lCmX2wT6P3W$HxBNKa3b}BB zA%wxk0vV-4l6s(qdwk#J!P@+GcQQO{lZ5g&AQxxYes{EaPM6$LmURBs$7h%rR?;U0 zwU`En{_6k|UMV$AagG~#?+7Ueij;&0 zb3~lM+4Se$=*u+kgTtwXW+|R%$$&|q)A+fx)7m-OMKB(ps>*Pb)bCv0<iCc)o@_~1B*R>Bl`HamY z!m-M`#iuO%jxBzxoC zA0@+3Q_ptCi@#`5?+I>iNfAlc&hK+8;n3}HJUuaA-_^XeqOIHiUNv6}=}<$lX^AWy zoTKg>D+9rF+1?BMr*xEySmEKQKtknhC(8HH19opqDtWcf`O*te3gXYQGmzNhXAzC;z|3cXHeF($v zKX%JaQ|Ioqj4ut_hFQx*@R-8*L7BanNH?cxe=ZVR{XOu?tZX0C7q#r&Y}{cc&l>bc zKZEPtqAA}W(K0x3rq>(*+5?j&@am&@`|fLo29$R7>8D3>eA0c<2e@6jhs=#9cx^FE znB6qlV_2W@@qOm3nwEShW^;t4UMmxa{rO>rzU1{5a&(vCZnOCC7w{njeyc{?7d(Uv zKvX~o*}W~~_6!U-zzq{Wk>q#_2teI;yqROb^I^?TWnazxuST`2wH;_>7HuYlcKTFQ|)PzhYhd{`%oR&+C7@wc;eO8ZI1N11RVH z;oQ5OC-RqGKO=d+$CV8oAn+Xnfe#eJFcg9KI^x$T1S;48=;45^O-cK!+?t%a6@x4* zPZo<$HDw2Dp&!)PG$~jZ?A`N45vFZk-mxFDba7hLQ}q0K!SV z13_x%R|_#JzTCu?r2FMXl$U$S_8<(Wk9rBM3~dW)r_$0CLO{_(v+^n%L_I`GuB(HK zG@l`aEX60td27Yebe>zMy@R8WlA>V#`(UzA^;+iIZIHGiHELBtN)ZAlT|^c4%|u`C z&zj{!nx5jnu)VN@`7@iOs)C~@Qhg?zk^57)MYklC+z>-34a`fuhbHgI_n80{Oe zwL)r=?h+qf$bM)EjDB2P43*fXr#GE=F^2hOX3rt*_ArI9C2EImb0i!_Q0+UOJvll) zK3=ynevU)2Fd_VC*8sj-6BNd$@kkwU$ibCT_3w~cG@mQ)sP#XeQUdgxIhjp#Bhx=3 z=1-b>V~-5%V7M(Lj?L~~Ql`h3ab@rw&;ynutt>#EL?S!mpshJCkGO_gT*jC03^>xk zFIABQ{Z5$L7c4?gA%x0!c&fUrZX%)|pnNx{{lOOOEZL(GdOe;g3l0=Ov|e$X@&HpO zbTD<=yn*6_`vm)wB-nRm42ZqCiQYI(bbHd2P*aTc$gGNLu)!RRrnw6NC!IbsQN&Y{ z*M{V+?U_fIRGElBmyp*Akk)#L=G)$2Jx)q4m)(6^g6A9IeV#lqgfR@=tKrSP-7%P; zsv~So(~7DS3F=tc*@HrCwHg?E5G4&M6PKAV47g(_LNrXU^0=6^0L|#Zsf8RudMFC^ zY6tr5u@mYk=}(NRW$4c1U82q9=%@U#X%lJFQqfk|lVB{T-M7CZZ60k|^0u7(kgm0P zae^n9BYQPic~!Zw+0W-Qci--SHGbru!aB;`EN~(Krj$Tx{m{IBU=7$jAQSRZ6GZ1d z46V}m455TB(#DtNwNLc;4}f7yqh$r1IOQLfgYdN0hL(2Xc6Qq@kk5}9ToH#1laNua z^+6X`3+3$9Ex6p#W_15jq=;utL4kn~mfr4h4kqQEW5U(LUM>kORG$nekp0@^pquD-M;aHm<#_+#r|_#2sq&^ zu6=w?VRxx_a8XDX+Qhh(!;KsbX!(R(`5{49)$z-oY|4`bJ7Epze3?OGzVQk~|?>RL`;=Fi|K(zz(@4|w02Pe7x!X5iv!M!b%v z7(_)fV8QM5XU2=nniy#*R8$Fry7ZAKYhAKPnk;R+m{w0{-&23?j~n72#O*!RCmju1 zl(gbdJ`FU()1Pa*5RxIE$^A(uJj+aOA@XVEQF6w((2BN}Hz+A|M)Sbr9W@^8(#dZz z=4@_E4;>Yip+#XT)!rK0pwZ8r1$7sz(%vUcux!<<%~i~f5jA=N;u@PYfpW|)FM6W;MR-sWamYT9C)ZSyb_yoJNy;*Rf0DPOAsY z`~L8SQ=srw27w5&{xe*Wu?^*;v*p|4o~?uJV(C9|+dN}QA^y!%m>1BoagEBUhMStm zI<8Y?se!T$$Y@vN2y+hbwW>F{J+mNyty6P$rJfs#M%?Wf?ixXXlyU2PjvU_ei>X_w zr90$ppCnts-8YPbCf|c31tKzDu|&>A$wlco1RTgMK`Mq56MZymvK?((w$jae@;e*^ z&2RKBpLnUlYML|dk^c2p6O$&sbfDUpS%94u=%H6vNx8xFk=dx_JfrNt`gR-FwnXEG z($W6aQmtaqNyqTx{%~>sOKnDX&~)shp^Jh{6nZjkm{|T5dOENchp>K9gpq)$2-IUY zQ`)%HWwK4}MRJn64YU~iDVaLiomF(kXiE4P{Wg7dbu|t_`F9^xY^MP7vO`#%(8sNE z<;!-%5d4SkP>Ethrk!347=;Sk5h?aEgtUh-#x30&Iv#|ylHLuNx9hh;|LU#NVo@n8 zLIT6Z^>~84amkvUYln?uKKC-SN3C=3N55k@zW}eY{sNRg2fY*_9ASEzeBkF&%U+Y; zO@~E64z*!M7hQolKmRbn#n#INy+|r>20v3qnt#p312BQ9-Q8VKuER%Hdr2W=iZExJ zenjw7E4}tTpyjliH@S^Td4C6; zWbqbcr>U?CK7q%J?Q{Qki{7*zaM(uv??A(&EhI=w*3c|-HUbEk`cS9Pw%59y6ZN#8O)ai(Jv&2~tfXF2+LO zlr5W)CXZB4(p?$aRoCjG5dj6k5!_5HP`g?%LYs@CM`;-8us_*%LU{%C|2Ml84rG&{ zVqqv+U0>h+{>EY)zZR+8Hc@R`>vyR9cuE}B0@L?K%tOU-S;h*O(GOPJDcSAu%c%b0@2&YPB6_ zP%myK3eO1zg+3n_@Apm3s6meQQsimaIybQ_R-h*zLsnLyDz*$R#kk{d*j04H)@)^_ zk;Sh{*>`N|3N<`VBBtjkdXF8Qot?kGo&lpj1C3-5`z>j`&3C#8%dV52-DWn{9r#%N z@a471CdzTKwS0-7^4Gn*oaBfGxJ1Ju=Dwv2X3i}`oJU!b(2qPwD>iim);^2d+stp2 zi!FtXU?{5Ou-PhIcx_JtRvl`|7!skwLQ%BT7NB~5>a8ZCePDYCR@LO*2O~rH*U-1> zL>M=er1Fu$_V3765dHy|<7P4aqmehDcx>Kv*B3PFJZ^7q1Jai$q8>q-H;|0ODJ-j` zwi*B$^78)a;eq%oA29t{tnjB=_>CJuY@M8x?X8T3^#Y!7kisV%PUWzs z(#+UUcGA|P>{5l=$AQK@qr+*&cmIqF>j{q&cMf69R{Q>Y$$>A>oVt(s&aB;F#xX0? z`IMbSo*|q&pfYX~LTPVBGa<(~O64s&2MeIC#s^bHS&%=J925l+HgF^YPdR*|xc%u_ zeq}5*d7lvIAn)bMgD-XS1UV7vg0I=KL!G|DI(@Uin-sAPw9G;{`vlXWV4@La94LMd zuDGLgtpfaCe!no;=c&o%tq_$MrmZZQ;+uoa{5Q?eT*CmVuivdVoYSD8Ev^T*okLZv z2y)A)yrn3Q1zs}xtkAR$!KX3JiofPLX@FK46+exjP^x}FD_Dl# zrta=E`t_-*m4BHqQk`kAQX(BTSH)n(%oOtJhhQ`UBHsJp7cp(0oaU~-P!m@Ivf|%; z3P2FW*nh;&Sh9OkG_U=6(oODNqEtzwjVYOl9GJ*0hM0U>-PquSaJ`jVntUXBS9`*; zrUF@Rme0w_G2QEu#MGt7m6OS()M&J}5iBOg2yXyvM@oGb7B6L7L~1#xnDnpryQzCR zaA}n=lH!Hg{l245i`&5;#{Wa#-@EC!%5oSw?MzNjhA4b-&W7pN1`{8sf`F2((cT*s zF8Gfg9O#Y zX-Px6#ZE)Ggur`%m2hkfEkq8y3~K9v<-yM1pCp`U0fp9#Cv$7PRwBTQg!|!7aT6P) zzaM_J+WQ=}K5taE=;yD{-qF@7pzgqEbUnwGohvwxFwN8X+*A5OT)z3_MvU`stgb@n zaV&9cZ%#bAmNVpC<3xVWj-Qt2!v<2hu;Jl~2T6!3Q~cVW>iLROrhd#JgA~I3QO?d_ zv3SZYi4Cvze(G%}e7s%!h5l1!FkW|2rK`M@NMhTdgr&03U88cMs-l$Ps%}eq-MdIm zZvejyU}X!ZB``be%(Bpqb`ck$Pv~{5SU5W7opG{fv*F&yW@FjIey_}#r50=WKiwIg z#r!yisTG&RfWG$+bp%KDn-w$|!$Xr=O36Q(#_P12%WUSGIIhra6Vz&b35*JaRN^%% z#MgT7@R#AlpN@Zo31Tq4JCwa4ap)=I|5)*)tGev?a*4AmeTH58=5J2##E0GOV_AUX zlSS6W*!4FrUB6k*$)arh?b79=5plo7wMKtO8!?R}5qFf%T6+6ZFF~l zHZh`dKoFG#K9R#iFEhbbA5zE>Etw7{d9D6AOy1~>J|oUO$?I_ zp<)zOeiceyxnw=>aM*V-oKaTCVV<3xVD#qxIq!>m1tS4>aZodQzZhXoR^A5&Opn}y zAHO*@V#L0x)OqoVBW~bL&!zs^ruaP|2Amt{u(QZZ2}(u_>E+6HRw{FCtWvxMw_$5fj>%%U2_I;e3KCL#bz|O$|@6g^J z{1-wR-Z=BCy!BHClu?p>k;1hsi>!OE^`i)_KRU5|A_0O5ms8cyl9OA1eyQIV`HocZ zC3!@!#WEr&N+6E=44D&KpXw5oK+??DNHENQw_=xq?816+^ub@&_b| zAE6le)^U3x*N;89Mi=5@?gigtFNoo70L>@_R6kE+p`vU+(_yDe558C;Mz zked{^VyupzI|}p8RG9qi_P+oih%|S;JRDtnfxgsEoyu8v(v58v=*5<=0RLohbM;rX zqhxX|)D9-hKO5j;CE<;Pb3{Nt2C#J(2yX(KS?AL(DSss+P}lyy7|lhy1k5tORHQukUD#i`tsL6iqxl6D?c1;~H9z78ou?ZqLeBx=^=FJWnrnbbh zBP`5^=VhR|^G^TJA#ug~`R#)u(RWaYXNghWcdHXjJAc@n+!LyddLMVriS_Kv#gBv+ zP%B9-;UQdRr6RYodO!`O8zu3o!fq!+{!&?AmlxQ>NL^+% z!6>E75F$+srI^9wawP(jfSVdMbNoK4gfFW24e^OkBPB$I>S!86D9B$end`>1*5h@P*qM|I3 zcb{ke;))$^&PVh62fP;&Dl#Ee9FUc4nFHe|3)mC%h0c+qHf;ur9u=(jc3hj- zE|*S~NIQIirp?Lj-|PZDVBRNN4# z0PpsHYus*7V9GAwaai$b*rhYvW_Z;gFE?1woTHzZrrGDNgyH|L$e#NEec7B@ZFSHMB;jaZE4^5w=(&j3g>v&y8ee^UqecX zfKNY7dN<1oj#~eBOs|5X=-8swm2{TP`rY`u@0l$vqAch=M!&hmA-uAnaUUbFT^TZ{b1MJ#s8$7+4Jx{+Kr^ z=2Fs?@RP?*AQca-D4UHeRxg{)15slMvl|yn#zh(`ewK4Tps;z~ERqq~M+V(zK1c0~ z8jM&Bt3l$=E5ztYGh;8(A0_{r0=AsQr+2}ugbLa9-v4lELv-->>+W{fzy0=l_YJtm zI;LtYpeQ8ra=zXW-I$d^8~v(Xvj_AqU_eA}GWy65aXmH#S0_+S%oSJOl2<%5Ag@j$ zo9wLplqB6&exfTJmUAUJLU!6+rVX`x&wL?}l_0rR%mWX!5ZVlKEeTCVR*b^RJ6=hTSy3zXz6$apIZ)S;Mj}}dV z+x-2vBT;#y#)$qZgRCE-%5eZ&yhLir;XQ2@vJDkq06}tuV(X0+bAX^g$5MDjq-04# zd!Yi#Khm@qy#IKH*RV=OAdMwUfg-kMA8FuBR(4d*Al`47&qzR0D#-g3sjU~JaN7sM z*@S(RwEoe$F5`&?qcNj%2R7*Tb#E`f5}{~8Wg%$5e$d&^!>Fn33MO93iTG#nBig3U z1Ir4It1fI_u`(br_}wnq*b6Tw@?5E%xdslB`>Z#rGF-T7XC*@fMPx~V`oI!TLnYOI zLCE$!00nGsQ?)!VN>Y{Pmtoc@?pm-9dM6QZbo1^=ct};Da}|@%EgiRaoErY}U5VTji!1WTGO2L3wYDw{&?M~L>~%4VIt0e^14ziQB5=a_%v;< zg_5~gKNXr%SuoIi>V4o=8=_*5_=m<7x2=f4`y*qNtIvm~B)}&K|ND>F-~Iq0BBs$p zwEg%ttrQgMZdLwDXor`~`}CbB5e&3XJJ$E~3h(v}AkktPAByz)aYJT#|kFCg_u zh?+AdVoIP4dQp^H(m2%}JA(c`#5^q}nxmV)7x|05dgsQeF`WD@(g40>gdqQH0$!h^ zhmWdc-FPf=Zh$qtza>ZMnwy@DYL2hfd48A>^UUE4*4QUrFM;w|D+NpMG{(Uabp46# zt7Fvpi9GUkxx93~H3{-i?GnjdQL+aztIxKg6%JYfDh%v)sN@Hjbi8j!D--t4&d_VO z4uJvAhTX)OW)N#G>m@iYH%U=h!PLZ^@MbQH)84QCtx4eDNOm!HM@yM~feMhguHKzY~uUl|{r3U8b* zZ-L+A|0p`=usqu^jKA4-z1g-~ww7(%wykB`HkZxiT3Y668Cz@L^YvH9(UBh9_kEq$ z?>bLg6WDE95{ntwbDg~Hy4xJjG7?PUAi#S^ui-WIjPm#O%?$v)replQ(2{vioYM`h zF}Aj{irLC?pTJ?1D(9J&q6I4zR*g5sOlagF|B@9;fN;r{+}o*+S3iRgRiIz|u9m9v z{+s`nO`wG~$lP^-0Ih#=bDz94l;YXV-W2GmF#$cb;&)g~0RB=uo@i{m!q+M8&QW1Q z;mV?ucm|QdCrG7DHeLaJ+zXZj?qm@5lxc?^FoWpeJHG2(iK&$;eXW~d2jt*3DKU=5 z3Sw>OBZ!eOOfNpEC+FKFovkioFPQ+}{D1eD88O2*8)qZhioJ(?*)q8V75*GyTEKuZ zg}iY)Vjr5n_^b`izEnq{tNv?VQ>Ko_KC}$z*(tIXVqWggTXcl-J)^O@iKvpXnWW^8R|*kQR>;Qq$assyj8)L-^+IvQFDPTXyrL-?IA+lved~WAyH@{!%m_DAHhUBK`eo zEkd~m*nR`!RQ%y_=l9(RN%Q4*b7QRf$6v%;G3}=Ui6q;mW25WNKH<<9?e~hd8b~-{ zqRa(6FQ-TTA@9sJVpwz_If3=@lXY2;LflvT)BgSw$`?EHpAU#?wZ6 z80t8HSbF(8o5kuHjaMupR30yw@r9b@5MyB_#hQXLkb23R8ci+BpflrdlIpQ2#9CITA_K+{@94T56`c}dO4rB$74jyp=^%cN57RdkFd(m^u9XHAnUtGX9+aET1m zshcS(|H@heh#`jrXRC3hIgIUl?!x z0pog`bGrHos6Ir^rYX7VfAI7gzF9a|$Nl=B(AOB3!y2T(>SV_!Gm=x4AI>aP>+S0s zwbbF`_T#nu*?R*>OSjv@x}ZwP63SG`1Ar#OPAl2MCIl?y2RHmf(3^4bA@`7Kh^xzL z0?0(H&A52t3!^b5IPy;wt@vEeuXcb!P7aPBq^^!pcty0R8^wxbIx-1b^!T-fQ(1@s zus;6Z6=uW@SfJ=A(va|4Fvu)31xtL+zVa6Xe<2WCHG;qy4uUc!=Rgp{(MX&E$Kdv0 zh<`!Z=K&%gSAfZSKfl`6I*MV%@6tOc0lvO(z}Ohz!|<-8?U(LHG6(TkH%IgvIzOHc zHE#BA(7*eW*}X(F|Kwo@x8l~1tgI}qHEvFW)^*QaU~wOOJw)RAUxEWPHw0P3FP4pS zm2J__GN(JdfWfB$JZE$%pY-R;-7ip@z##;<-N;A^C4$N9l98NuOzjLGWqPxZPR~$A zs{XN6Fs>q#NW0_YE7G={Pr70xjur~^0A;hkR662(!sW7uO}h|)J0rE!_r)FqH_}aJ z4lZ}I1ZS6Ry%6OWDPU`HBsPW?YyPQNz#2Ha(V0l}{Ch0=P=6d1`8X08K@PDftyd|{ zG~vhr{ca;G)hDiZ1Ic+~E^(LBL%K8|jyx!1gIu-Wh>1%-stcCsGRWiROZiuSFFH_8 z?;3GAOgYV@j+N0@cmxNNCV=kn+z>t4m+jg->MH>j8ZbKp(4VPfz$Vi+`%Auh|KMQs z{mM?L1x1#ua+Ufmf|VCAbS45$DgAf2PM9JARZ)>H{O{de3!#vfteeI?vQ^&(OUK~X z%iCFzIuvq&-5H620S$1eO|c!OU|slEgi|0-4`Yh{qS=4kzP-KqdZl@D0$Vr`y!91l zGO8up<173Z+8_dIzLvd)wz#We-1u?34q)bQ99YhP5BCM&XLalB1E?NQ5=(2FHv^UOvnQ_10)9c;QxS7}n$HP%L#7=Q$^es}Gs+bU!nff5t;_*+)@HonF`(O$T zK0b*}+J0z?&l0H3-816;-y$Z98NzphY8RTM2fumPUih}t?f?4SC0)X<>7}+-4rw(X_pt2#p)039Fwc0yPX2y!kR_RrI75f3;55+s z;}^N6+J20A<%5a`J+;ruGI2`E7hHLukosTlt)!>!cFBo9pIXb-k+ir|G~r!l%pzhD zL4bqhHK0g76u0*x`^H>70$h#AZT+}Dh~fq8V=VOjdhuwsn25}Q7krno6W}`b?Iz8< z{BGYzE-_LVX2eSGLdZb-WaA`PuDfWTp@!eF9;K4}_DGT_^AAS94&}$Jqd~u(3Jto+JEpVfawchN2YBYsA&-E=k6YEX=4T8(?2#m1f-B}0Cop>RodFx ze!QRZzIp+^85BRpn&UXQdmEqJz9CoOPdgh#(E<0_g$fPWu8SneG9qqi(71a|GcRFo-2&Q39)4~wu?V&Xn9*aA4vArMFG!0jmh9CUz0PAT%OvASZ9(xD>`qeC7X zIO4}epe6d_+t-W7kB^|f-O?){PfaCfVbo?M6;7!#nq|4#9!{z)BBUO+Qj4{VzN+L7 zQ^2ch`(RmX*-E#CotlNufyBGenUc_@W{`OJ(2J`retbBv;vYRtbG!-6htXR()D;&38m;34X zoqQw+@Z?({F#Vu^(L7>zq`9Ug6$wh1H736oZJ!Z1SJxT;C*tqCZZDTv5Zyq0mhb`h}L;vAs7f3|&`nXyboU?%&!x7DIodZ!*HYqUwyvxi&DxxiC$gx z4gh=e^>&vzqDb6ZsgphMK2V>LZzq<7EEn`bfv@eFG*dUYr#&^f1IHR{=_PY<(kKv^ zWC}(S_bm#?@Fbxd&7LuhG|nd;SW%g%LD}CA4h{go--NB(<03Vx_~47N;Rbx99Ftrt zMjks#^BYDoWIhVt*X(w9fS%(M1t|*&3rjQE+10cZ#X_b)s;Dc7XP`dESjlb?TV99@ zxZYF@@wI(VC`|7^R+=3(dj#M<3n3C`2Zx=(;G%bMo+RpKE=Jsx1tYWMF*jC_y|Z%@ zuDiwNsz9gOFu4pSRjM_-g2nyR%F(x+V*yWO19%9%A|uY`N^^?XO1x<$gR5!E?Pl2g zAkm#LG_V{Vo(?mHRRQe_#rTW{2Pig-QN>y)eRbL-kIa8g{rQ~2&Sj_ezKlwQrVc5& z8sa4Iq*DnJ+H^id#ZdP4p zj{Q;bf&cl8-bMHu&YSh#DXL3+1H8sIE0uRNg(fe}n<#yuY5JPpdzm;^3S53* z#E-2lGdFfr;;gO(nsH?N8&rw|fI)6(X!sTU?+@@W!H82f!VX9B?#|520M2aWeruj6 zBFHmm@#PyIEb0vZ%m5>fw|v(Er;O+nYqSEL+0Wiw}r5uqgi zO|q^w?3-u;M#~yG6ku;*=1fXT>Yk?V1y@s68czYO$YcYt3djju%rIQz4cj0KJ=lAxn2~%r%I`kjOp#@;I1u` z)i$x3(1n+qsJV} zn8} zq4yrg4p+5SB`iqJ^!=Y7fb8^R0Ofs%Tq^w=5wBBzVd044)p~=zMK}9G*^-U3Ga8)- zpw$7}Z*Xvt_!LlKe|!i}e9w)}1dXFDE{T$cT81y!ITdAx1-MLjUe_ceYGXVp?KH4a zlbx3AMW{F1z^I))1H8uZ47+POn zzr4JRM8dOkEr3WvOoU9!l<7L%pdv)MiE3obAxidbI`zc#ED&PGhF~@c62-Qp=((2pi*4Epg>A(yO!w&?ghX&}**Pc;R_` zhMfB)OGq?gZ4oQjc!9ti!hrt^OSZ!&%af^Ul8EThguwK!;nrP3aUES<2#i%MD9Js2 zL&J(tbfdA*IUk|D?d@Zm=ogkZkHIa=wo8*y?F-}xtevGS#vgBT4- z9U6*NIuT+JW9H9BjUI(VBhe9uc=`3?4EhY8f08eAI!pDiFE7QS&_6^9ieWlue8b2; z@i6h>6D010{wn(sO&;PJFiIj3LOIbHT|=!bt{9Me2iO43c1Rw%W0nfr;X`O#!HRwA ze~l?I9L}X2NtQEs&L@hQW_o>n#U}pRG04Ks7UYLKfuohX@{IjBTY-^J7XDqrb+AX{{(HmJ{zv!PXe z;$(Tf3<2eSMRu#GjsTve??9a*+HH7Qu;&bnK5doUt^qsX$>!EkDjUV4f>FlWi!uUR z=T!Md0)(xpzT0m!0)2tw>fvWeK0`YrBEiui< z$|KtlYD?Us<`aA!I4wE;iWvqN48-quVF)aU^r@kjAx0x@kf_?;pN;46Q^CUn(E1j>@an^9C?NJP?5)!R>IG278UN>FB(~=JfHv!^}&`Fh+WKZ1uadO zBaPQ~F=&_x??3sR;`H&!e)NP0gR_>?$}k7N;`u0m>F}c0-bSN=kx>f#2bafl7x5Js zFK9TW^A7485gCiOCQJLx-QjU@4nI9k7k^o^1WZ+u?^iAdgr)HhlF4QmT~ydId?J^I zvZYstinbuShOdrLnD)#oB>mOY=hkqBs)6n|O-(;h9r+*Qw-Rb=voRvOv3pZDvEdDm zYPP&#Y>FXo1~*+vG!NXxBDhR63h9@gIjB~$B99M2kLu;Yg`oDtU|#gUKumOz${ryy z>E8?`mERT|Vw?Flzm+oK4iUSnwj3zXjSL2Zh!LL-T&5I>w=h2_2JG}ncfHo_i(NHP zDGAESN7*^jCN(u-HuikuvJ>unZ}*3zNrR^Lx1dqzVP|4eFefJ`{|1px!^sAir$*;E z$Pj(5qRDQ<6oK-fQ&a?J#G+LkF|m*r8q{zih{M>~pmR!0tr}GNA$(@;9{;tfsU`0H zcIP+4es&6@d9KD0kJc&)4Q4Ye+QNilW*a&r;z%37C70MYM76dfrur(K?l?p zIvz)$GwPK=v-MWQ%0XTDWq`|zjn5JUDvgsb3`fOrZ}TLRWR)Bh=N;VLAH0KKyfNrL zP58LDh^|VvDR4?;{|l1uTG(PS9+<-jy4@F3Ou~J+*$p3z$oV_}<2^CQ(b?Hut$QG+ zIdfg9-zeE#o<~-xq~3QAkq~s{`<$Da9mEnbk*ax9q-U^mdAwI#NZyXsY>`qX zMs>?VF>zTKT}oIYh3`vGWr?#OAzM*;ehl9JVqbQ3ygSSju5~~c8xe6u>KjlKe*Efk zeWyK%buB5huIDDmM-ukozNq2aG3qGY|9wHq+OGkerzVVy)KMa4q0E$Bc-+<|In|Mx zGRE^2-ZsBT3&*X+(Q*I1`6=Vw!7c}azbl)wZzgXS!eDN^>QW|eFrzDFV+Qj?X-1QL zM(KV)OC0WHF`c}J$6y;g85anF=!=@{C%oJF>mh%^jkrwen&MG_5q{=Ni=vC_Qs3%g3zNbP zbG#$L6BlHHNb+;~VVFl3A_BhbZ7g060Aycg{!ocZwFVjGD_HfRq{=kvz@uylim z9gW2G2e)1&`kVNSuQvY7LD`#Knbr&{-_=UaV9+qyzUZcI59&RcO~YKlXWL6+CO6;2|H6jkpbmZMw!Q^ zr@=AwIZJ@099oGH<9mA}kf4AAX z$F~U&6M~;AXiBn3+$!E4ij_h2%nLZ+gpT&Q!&Y-p21yfGg+Z1UFtq(~)*pSd(RYu2 z&iy!N$~jFC!x}cZq`uHA4(t#X3&g8wgr-y|sPe z>*nzB4h$sjjWufO>gn-yaS4eSxP=p?;Q(*7nR1nR5kB&-sfkPq8)r27K z+-RSv8iQrUAyI-ZkE=*9bCTQ|>kF(am`i zr9F!u#p#ujI%#B-UM<6odcWKlMvX(Sk9LW#l>2`PBVSN2q&b1-55zZZ4;^+lfn2~X zjK`ILM{aSjH6HF;pz3R;wAG`1<=2KH5i28=G!Ye6kRd*3!cChNuI$K4opklBMx5c6 z_y$3jqry0-!!!k99wY&OtFxF*1>QUqy$A$r@f`&{ZxL`v$z{#5E}T8w`6T$%2u-c8 zaN4)pkojQ8DJ~1^V2Rwn6N^@%60_qBd4$zkAUTy@3`d0VuIWgla<_F-v=z2#Ice}~ z)mCefy4sUq^QmZZ0p5J^O?2HHw`;05>UC>9T81VGUvf5dCg_n2|9ILrFJvo5`B;C! z%(!Ky%}?8=84!BGhkU=IQXcv{&1{dyiTXd!9YVS?7Z)N;h-LvMFH z4Z~GUL**f3S#aa~ynmSu4@S^JeR@uigKUowm6aFA{6+r3?#UG5Ki?u6!V_2A-Rsz; zr!MxB!5W3QX^;%44M8$R>zSU0M{G-}wC6rTun%Hmp+2KlUO=VFsNJZeX2b3?@;UhT z3hBpfbmqL0F#A{ISk^3rPBY4aph)VqMp0iIan)!^N!;8_w71vuK7)W+PF%#8b%R(u z2>KSg6(u?ko61`a=58LEiSEu$FE=;LwC8xraLOZ|1-ZZMF}^L^XsD=R}h9FKPE^PwJxSus8S#U*(o~3Y?~17b#Z(V)~%x zRi+nujCk~H#L6M82hn7%ehqDj$Zp6L$4c&Q7t?lw6K-5FxOop4H1Gh|!Xh_YSV{0~ z-4*yXBrl%$%J(!xN+2Q{$bstck7i~NU-_?5`+gaOA|xC+#Aav+)cR!b65wNp(cyFB zv*U_jKw~RlIb-RPtLqTedaLZ%sDh&NX=EZ>5acNhsDU-hqIEknk)=81FefZ_ayq1z z4eUJJ1^OhH1k9TX&Pw8$$YB)Qln|xRJ?!tB1O^t&SF16Rb-RliOEfXy2=lvYau}^G zEfyfnQW!?uN|@x-)>f`uSa6UV%X$jGjc5NPXSSUQg9p(idy2D@&4|&xqswCOrJ|7t zoj>`xIDk+S=zA<~u5U35k zQH7!q(0RxYRl}CxqQ!!c*a`qEtIu+EDZIiFF2F(Q|K=5LJg|}~q`7)|J^w#g|5_&U zo6AT}-sfV?7^oc6I9sicGo?1s( zX|)$zXRRn*@RN4%_#Ytew=z}%YP&K3s_ao`B)dE64NJOPo?XtIvmIs}l=MacbBZ>S zq1K~tgTkXAI!q4pDEYZ0R{*dHnCIQTSQmwdxC^GkC~2F*vR1lxp6^e*n=~7W*Fh+T zSVRw@&rzhIq9VU&j(^-7i-BQ~t_=Y5j*cTZj~m4qM1+QIs?+}Q$I@3+W1`Ec?&fYw z7Wv4&4!v=7cTXFO^&s{J6c&?OvCw(Ue+|eGZy!>e6WEQaoRws<`(Bykp7p7tEYhuw z_L3lvO|9gOoqSM#v>C;gkxYVn(MN9NS)akFGp zENR@`9G^q(Fxumeoaf=ottQL~u#4q-lWG^r>@l0@P0rj+57C>rC03^MZZa5r!8LMu z-0FVnkK_DN2-69WK;=&aJ*lGEs_d~c>IHZ$(CMTz%sR=+MKkl;zzXt#N==(KLM>!-mac-I$ zHA;RY2q>2iDY&*~C)REg1yQwd_X{URYi zB-Y(iYfGX16DShGdjGNdchw9yABBvGiAg~&deI9K2_Dbz(EmWF9(4!JB7*Y83lD2D3Ns_>QufL{ zXLkF%HFF?h*gr0cJ}yLF;r@kqqc4ez^aICLLEzy&VyL+y{JvXvOjGJiZwtLZ5qG?S z6Us99N`mCpyNp7ZuCCd@PHbFQP@vi*A&__kd0U+Hi(go{)8m+MMO8ZG(SmMnWqa6! zjWChxI%&2V(QQv*Y5mq#p{KNg9;&&(QILnUB3nGSn;)=ZqpLyR&BA9?`b3!+HURwE&_DvzXp1p|+L1BNwKXVp zJ)2+nM-*|-cmn3cc8L7t#rsqqZW#d2TbCO&iqH7Fzq+5pem~QpOu~7lFYOuWHMZme*J^hh8nru}MSY zC5(m9^e>aOdAJXYPA(H~w3Ykk=P?2J_emENUASj;V3Qd9)StWdr}KtZh&zk))fF-Y z2I5c5f1w#wt$rULL(errQhC*uHuOXRt4W>3MA}jBV)}_ok<6hEKQQS-i+0>75M}nJ z%JH4)f8(}2pCc5{jS{<%KBjUN6zBe@^>8?}6hQ}p0&y{@8-u>ltHeYU0ij~N+a?q5 zIb`Vg4+WnHvT}G=*lQzfLk?U73(OO4RiHN_jKC#Zrv`a3Z4q`Id@vGe)Z~4(P>?NY zoY~`ZS33H@8Y)N^7q!HpnTtR%(?iqfg{3j%o8U&3oplU3%UU1!SBBqcw&--8XSgou z@oPwPI;gp;OIvg8?#@+Hb6;afe7E0!qZJgxKGEOb57>#EFymJs)lw2aqK}-O(xlMO z*2U-L1l|tA0slj01(XUQtR#Z7nUcQT7}Z)049`ZmiFA4}YBRfg<32N zW@V5OhbruCboGLcM1i+RzzF3KGc;4%jvo7Iwo|PzT7!y}X!>Q53~_7m&&x01{Icl3 zTKrB?oxbb|k7-9?Tv5J+Z(67Vci?xCQ+)Izt=@wDEd@}uIZA49i|tX|?Qd7`5xJjk zUjDEV|6e!DVyd!Q5~&zC#L9HFm#n7g>wa5ACY-Hlw?M_ty%R7KD5<6Ht7>%DyJT%U z0{gBnT&{+s4HbDBa;lUab;cVTM1i^?k;%f}*1B~f%s$24y;>``*8&dcSap7mXa)OE z!uCmWjP*}1YAN|Ckfle$*l?f({^SoH9-cV8P5dLkgYWsdlVhGGHJgRMkry0!z{~Zi zEMMp-DyBOu@T^8bc_S{ zP4OjS$k0r*QkVD`O|Dxg^md)o>u)>}Ie#s2pEujy-UhZ(9Ye!$1G4FFK0*U72P1oX zBmR2`o6TbcG?1R4%b|gbFp)DbaZ!j zH~Z_j1}yxAOSk+Rg^LQXNTdu9Un7$vNB{ptKtW}~jR!=wHOwTT2p0feF=~1NTA4zV zkf6IkZq0o5l|VXy#F64YnRSDTkVDU@q15*MncLk>di-uP)GxiKCn)w%8z-BMTmDI= z^bn#Q!U6?^o14s$Kv=Q0C`T4JEpvWx@QwH1>EN652hk)O{mh^Ja5NW&TIY)$!HcqY}ImS zFrueZ;mKD$Q37v$grrma?JS6gTBTYrx4%t9r|Tv0bg)ZBSEnv%XP9M-dHim2q~t}z zgrqbiT+yZ{7Q^mHQI=%hYZMUVztpItiU8S73g$*DquAQTRuw+5e3BbLS|q4H#^#QB zLCQ7(@0*;wsGSlkgu&T`^aN8+o(NP4>>31N!{CJ1y~v`sa8k{)f0S49S9Q#M_xL#s z=neXKd#YbaSElj1<^qJPuoxuq@ay{sGv5V5#LW4ORUKyVQqx1`S2Re*lhQtGh7Xmd zn4~&=?$M73Izu&kc$5fGou8XSu2r{zbNeFzN_D>d+{opy_T2$UN3W!zXg(WeBCFut zB^MX?bo1obu07YK^TK4qZuu8NlY>?D#4_c9npkbV2`_?*y&$ZjBaykrOymoRf|jlW zdy-v7>J!JDa>A0-;s&e;`*EPgq7a+IafkiJ!0X}v&jEzzqu(cQr^*vx)?Y#%220Xy zbh&gC%@eFcKDDN!iG%%YkaF3RNc3J!GVGO@)#BL z)~Sa_5h+v5Tm>hE=8M$Bg6qef4KNT46mIu}qpFTibPe?!M2Uwo+qbtpbbbWj8$J8) znfzT*XPA00pz6r#3uvzx_OM*YFNT9byK_N+yOb^`HZc!#JE|SWY;%;XfUE}U_Dk>| z=YNh(8-G~;&HhV0F-#Nw`>5_x5rggF3Ryu41j0f}i@>8mtI}8%*5CK{TmeTnvtQ@x=nb z$Lz5vZ4}pQVqf!}+VFu785bK{ezC{8bY$C~Evcp#nWw7miTOUl4`#bs3AtP;*&jtR z;4#KdI9l=POzQuiCC}U<&m}h!pYlTYt=L%cpxzixV_J{3@`(7dA%mF_$h-H*r7tC5 zc~8O=S|QWjI3s{Ef}VFd340E7&LN9d-N1ld%<}WekCBn_7L7b(_{l?{ zKkyIFF*NwG#hCASY|OCR1;S6xN)}WUayNNq(gWt(X*H2|XPeGabOfJA9vbDnaCLNyaItkOrfQrZM z!Zcd12Q|^pWARj5 ztEaEu=XwMizqGyQ>(sql3uQD$-fi_&qkloW9#;Nv{<}lvVWx7Te!HaZ`teeR9+Vsj zF>w#X8E&NqF*QnaYCB!*r3yc$W%iuEGU|8yLlmA?zGg(vIO1tlL?vzXnScF8&Rm45 zPOAIb-A~0UnxA@!4p0||y>A9V2BVN{JfBku_`L-Ryr}d_3)XD7!tCK-bGpOQ^ml%l zoY=a@Xp_~k#R`fCjC@3^pTd@-)O2=yZ^LPi}?T7i{lO{Hh6; zv_R)`hOtR!|n^cQFABBuD4t1* zIF6qsRMlG(Cw0h5p3^eBv5`oq58~pYRNeWoU6D zDOn|8jr+V3-&RXPCId@n^zvU6we&O*YlkU0>Zu#00}*+tICM6#`LM@tIiL+>#o%`; zhxS!&D5}^ClmTeIh44yjSMFOPQ4AClvr+d5Roqy{t{LWttNvJ;!> z>rJi zlU>5wIaNG8rbBuAv-H}qmf|~3dKHicv&+u^hrwQmgi?t5yA4X_j06ZrOn2~*qci%*7L#y_#GTo; z!$PiRwtZQ(Y5In4z2-s9LCxX!3>1UwxK`ZZUTgc4fYq4AVtPo=#G_w-kjUd7phk*i zVdxTmXzUQ%Lrx2)tT)14{Lfm?&naG0~}8R2JobNz95celQdn{3n0_PZ2&>)OweM-6fkKYEnBy>0a17GOg0 zLwbV^$ptuOLmD-`4}x%}n>QSHL=;Yu5O9{&N3M&rQ9Bm7iBVuFwcI=20#I27Hw9gK zFCCj4Mf13cV2e16*uI+k_ZKQCG-aIUF1aJ~`Z2*q4LAur3hpiBLPx3_P@lnpXC;JJ zyB!0N@PwYN`OpiY*xcw&;3WCWgyRjpcE^MpsQE%IiOyP@Up7GG>OqqU?>+ZlT{uf| zPR}FpCrmHCMu7ze4!6t?EvwX54D&kMSbC0`p`?D+?yh3^o0e#T_yh!wxxKbL1Q5s* zCgagZJOoeE_e^L$gPAEc-EOAaJllk_<$?AV z_(^1Vs@T{>7dXYOP}qf}HYwLE_1uWna@$DUWp(D!U=5O(=tYmJ%qgMV;Dx2(%XG0s{hbfKcdah1486kD0spt-$Wu}6xrG8>`G zp@HZV)*EL;$fnu*!|m-YfZ5c3SXYU|AKl?ENP%?RoE;rM`P_oM$TT&V*uJ$2*^J9+ zBjp1!y|imD+g)~-1#aXOV1fZ=x2q>8TTji+=k**OOJ$2)gY<+7XMK1_7qsWevz>#A zdO{}uAN3SOil(JoQTW25beN$l;5dpYjxCrDf!hz%n-&~zDH9sPS1aZ~^I?cc+{oz8ZHNzK?O+_1N(svK(980N`oa$F%TO3ptM z9^KIi(3){`R&x03n%LsS*%91O62$Fr=ChfCjmm3uLzjHUQgY|n46z^x%$3ul7tPQa zW%(uWlZHiUf4q{_Zm#TT!#22}SHPSGL1VgjHuksUuIv2lFMB9>q0MikJ>Kr|G=I~Y zJb2Z-+pnB4psqY+I=)d0NmH<4l?ga#kf=&ckExE8uXD5xW!t^Q*>(fSWr3h~&|?|t zcx6!hV+OQN9gNKDG;I+8Cw%fA5Ss>CNbbkhew7b~4MHiI8bW5R@owTqV`87=>}$)j zco5<^+@Liy*L;Mms?qn#m%ps&Wwl;+dKO{A2wnOVkrTe%cnFMt;nj^6;IHOa|JC^` zO7TlErLKcDk%W2JOTo3uM}wJpJGBCdKI8Z1Q^b;5H#U4g^avYF9+`i@*{FS2o?0Ch zTUE8Wets6PHWeu7|NC6WZf2_sk20`M^8Gi_$Hm4Xxnp4|aTm-^i;kiiMDLL3P|1at ztsFz0x{9w^4_&1zbeF701-)g*DYC$Ql#rIg5O9j{*XWRBbtUe??3TLH5>L@lgN}L8 zC`LC2laf+Gl$Oo-WlphN{k$r20%t<-e$}hepUc!yWU?jfcfr51XmFaR-n!ep^ARFU zL`6e0ojJtCpTl?phY&}sa3Y6xTVl_*^0450F;7OX7w(Rr&_KR*p;Y>DwXhO$vC8jQ z%!^rBVS5&j52cWR!OiMi$1BAWx8CB|t7M8IW!m}zj-uEQ(%y8+ei*D5VPi^9BC9ON zqfbf@wEglVo9kh8Q@DNVI{~|=*kjNN=akWG84@neICr%Ykd1O;IxYt1>}C4zjdDAw zPHyH%Me1O5GoA*1V=AZgpX1>G0$UJ*eQmFzxpr`1sz`5G++UqrVx${RiAII5-DnWY zPC`nmjypM4y+V>TAO{QTa`Ks1WTY$WoOM`p;ajby|Ax!gYB#TOEuh|y-JE=)iCz_1 z!R>B($!Y=|e1wbYX0Tq!&1~gh9S(?(p+5-;fstWd7!%C$(N}UnPHJE4bG1g+h5nlC zAk#>MsK61{msmlREmdz^k>f_#LFepGqo3*t|(m1Asr`?@qfxip$mOux@*ErH804k1ylato8gQ53TfUt<5V3~te4itM1>}6hu zW^d3ArRd-f-guScBV&$v$Tpq41J9jU%}DuMd-ip36uNjqvTSZD*gN!dSzdfPe!Py< zlB}WtOutH?J5%W12Fukm)u9@Pvz5imnxt5uYRX8mg!~37-hQ|2+LXEO;qp!@i1BB7 zG1q<)JHyN8gv7uIkky{8m-SHl}Dm|6JEF2=uk~5JDhv*<+|}h@cYAa~EN1{fyU-v{E}P z+*D08$ISqTOMu=5x`&fptF7V^Z6dCdMF=k7SWBO=W&RqPzw;&Xr`e5qRdG`yDDd>J zm`ALUV=if^cf!A1q-;OY_`y^z4WHrn=gqsH*DC|jQqHZnuUh(3ot=9a6}WIIkeEmQ z;_qZl`zlpe_0KOmS_MeeZCUrcdFMaP?=L0lov)ji@1~Vp>BsgjHc-xHo;Vzl);cYY>5Brm+hAQn4ikQ7V~mX~T8- z@+W~RUdANpt~6fJ1k*Lcb3_rf$Xs)a%1}ym#O1E|+dOKn#>NxCRbjZ|i*}Kcpxxh= zWPyY{3JtWHbWMrI0}YBtH+uxb*wtEQn`<$$H@D1Rb(SUBgt;U01uCjKjuk*>6fcH_ z3?aX)nJ!X<3KZ|_Ref7hs4($G(djK$tF`F1Bs#_JkjW=xv1pRY-Tu8x!Np&Y;q2Ra z`uNB$Cod(j@AbID?Rp?d;CZzuJBDQF>?N_#x}VU8e=K>IUNDP$}FQi$L=A%|8{gTkKhmU!UP4>FHiaj;UozW4U>dc);{j`39A zVc73?+UbV4`3K-aH~N~Ih64e*)`pR?fp3s|nR_GZd7{MVSy} z41<@w9zW~^moy}?hn2>Nh7nr*esiqvnY94tz0yxCQ~U$1ZEX^zb*6|Nj-GDc5~nGp z5NI3kp1|Rvx1z_k(j%P~2XP#?i8Z9sJAUaDGMrnNF()1ZGUp8DCUfj&xftr^$vgf2 z-T+O)m4~5WV7wRnFOUx=b$r!?tS6bi$vh!1ua149H)-W!6nby)L2z(3l^nV)DmBWm zzE-B5{}`G{?iR<3zn0L)|pj|OIk zdSY_joO)6GB$Z?@k>;*e$ut$aYazAoP_8}#?!!4DX1|Q;k}l^WEf3O)k7_l@*|4G- zjocD#b9cAlig3?(KLdx+tIe!ukUk2P5k>1)ugs<~XPzPrQ2T#B>=4aR{I>024){?5 z^>G0KzBJkAh4cfM=t#%jDI*143 zzQ()*C?e-ADBCEd7Phwn|8c!^hE?*eG1t33S3A4?tsO_!)IWELC-J`edLAe`g}sfM zNXLvspo8EGtGWtoY9tt((9_3dF-Z!gv@Ih!F9I=d?3S^IO`Y?SSs1zBc?^>8mt62Q z|7o;e-1G@L(q{fh|8=en^En7|KSV-z<7sOvck4EW2gy%ZeD0?Es@P}Gv^r%3jZt89 zK(Fp7LbpX3Qln-a-rnB zC0@Nl)Z264S7Y~y3$Dn7@>_M&rM_cY9_<(iIxIu*^IVWfIQFcYOiyezoHF(~5kWQsrx}{UPyQHP1yOi$y_Va%H zaK;&DVC1^@b?$Smbu8>N;b4D)uIr5+81#a@GF4(#GkPbO75|ry6HsFnvaSAVk@JHo z6JB4JHmlbFIGY#2>B%Dw2LrCjQ{EHh2dP;li;PAYC(OnH#kevIygrgc13@YJtr1=6 zQhv?pSnIDCRSO9;t|&<~pw2XVo|}9W#NRGgKAv1rs%P4fGQIMc@Jn{_9FjM^?XMY| z7p*56uDWlY7O)Z|?^DAtmXRs$j>5lH8BPjSSEu?RN|!xe=HXU8VU}SeI)y5@RXkU# z;6;qucJbDWNr=|H1q|UPwYifLQCNA_4TgGgDVRYssZ6lO>>!ooez~WR`O4PKyez{K z;e*m*6ksUC>$3h^V>k99zTV9zoJa+(p95vDJd_D8MH#=Bo95$3{vTF^(H}T-d=<&A z@H!5KaXHE9UpXoK$qXv-x%a~wPISG3FInRZt%N@45pde(EV{iJUal79TAU7h7n_xB zefJACfGJeE-mC*z*Z7lIHnFBUUeLAo6xpYeU9mU#wr=iattbmqw&D-5GII*?@Bb$# z{r4DO-e+p0YW!Ypth9q~^^$^;$g^P0RgWR5p)WXfgKvkAgdq)=Fxw4G^}tV|O`$cl zdihgm_CY?GFlU32-E^%N6I#3-iapQJ$WrXfN56;X7tpPZnpNQRLV}Zsu#-1q zp>-L>K#^loWI(Nau*fF-r2J8sDgB<%!-~7G!k8p%0I`mytcG^RRACiw5iXkeYTy55 zpOi>4U2`3~9{J59ENRdHA#hfTtFAWArw^Q`THmd3)DXfbi&YoLyNs-*xTEinr;KIN;FTMbu)tMR47%j70cx(iT>P`Sw##wUOgwzs@XFU#t z+q?u+U4DL``;NbV`Jwebu1Yz~`CwTg?o*5oHdR}1trtTz>zJ6OUPG*yi6xd=M{y?d zB`p&*byL5HyIRKfULw?tP)BpmYOjS+ijv6l)qna1)Ce_{yq?vA<2a5F#7V#mvbJO4 zrnNN+Nkbyn<(s37etYq@x}w6)(NThRK+RmIJ39GGgp+YI(zwUiRXXq0!P(3}dTAN5 zN*NjZ7W(fW0|TX8F<*$ZCO+{(t!|$bELJ9wU$<%eT;Z(45P8DvCAsz>{cN`I3r(E& zTJ81n@7Ks7UqydD^eT2QnUk3*7s;CjC|$Y!PwIG|`Ad|RdFts^bt~Ev>hT`FnQW$p zE;-vSvc9=pow}-+JK1@ji`^S{QuvLcX-71syn^DTUNIHV8Gdq+F`vLtYX2!)1RNod z_eCjVq*&Q-88?Ya!aYS1&=V?2*S6Fyml{9pVOS0%u<2W!a;J;g)Q4@cFwY>&Ab1D#&!uEu=%CchZ>ibAaK`g(5s7k8HeLN!+4?)}|{NwN~K|xI?@CW#YlTb854n z)ltpPK=nfqGs^@2AjmmvTUJ<#!C z5=x=n9mvg!xO@w`q*_^6Z`hecdLln?-V+~7V+XXW4!o6~hSFpVQ2%%yMA@BdJ9SmC z2OJ(VZ3N>Gg+f9Kx}W0m-6@m%mt9YzU9=qi9^rk)UF%)I{*vYk#vr>LV1>%b=Lr$z z#)26`)p+^(pp-OFyhv$9qL}<95h>P^3jTP6me!0QqE)sytD!#>roMJK7Ufsn#c_%< zR5j!N(9SkVh;aiQu6<*F=kPZy5u2a%m(cVdMc22W(W%4FI!#<~k{qmemj0SpUOLvo z`>GuOJ$U!Zg8b#)>OkRr&B?L7x;4V3$t2Meyb>e=G65mUCi%wjZdIk#+(N(3oH4To zDW}l2rL7I6NZMX~5)I}Tu^zO_O>g$n_4K^mT5*vGSBsggNhY1~eeZsX8%q(kDQ|IE z2*f~Pva>uPiy=F~^;c~aNyNzwv$lIy8SPSWd6!mQ0{$(MnmDjS%2wgN$NEC@*`rG5 zh_RL?w}1B#O>8bLxM$-GlzkpZleM?($PL(Yjiun}e zrkbOf{H`)}3tHQCtKK%EfcGU}{IKYy;Y;j+ z!@s?d5_aQQ;g`E@5R6k8-FO)p8L{K}@~>fmT+s7B_XlP#xSP{^a1r-79Jx`qz?fXr<1!*r&#llmq!r(8I)oGijB{r&~M%A&aQLZyDfN^83-3y0;I)gkh(jTj=ENIR!i{saE8yBLRYa#cB zBe&{vfk}=`L-g`I))jIo?GD6t5k4&7rrRjbG>YOkEM>G*`f#v*$leLUHmqilO zt*sa7_sAbAOwyk4m>FR&MH-g8E1x42zV*7d-?=xjWm46e2hzD?wvs%p^ewPLw8SxI zuW!6Nl9Qn<-p~tlwN^>g9J+DCmX~GI3FHe}&|TuDFMb*#+$4c0>;v~D&=rN3fo`}o z>337twC0V{Sm?lqO;P&HW#AZzea01h0u{YgeE@j_e?a!JROiS3HST-)q-_yfrm&l6fe4sbZ@+KFL z^sl<~Q5%`&_nSqlP7{kC%TRu75%{mZk-_&g=~uowaj{-k(0q_DRKwu0O;3$J;(Ir1IPHP&=j=r&-cEFj`w}uf?xCISg!K#Sy+5AEo&sa`e>9}WUUSQSs zcJgv1>K@|SN8KvG9gh8tWfkk@&baHUm=fVX>%J`Zv6#yW5@oPOWB#je&zhl7=cls& z)A`03x8umfq`07P1`+s|zkN@+RPD z0$*iVgAjB_ULIgh;^A8B3B|nIPiEFEdE;{NdE#YHFYA#s;D{;R8fpVWl#{2Empqmz z*G`a}a}PrzhCeAt(}~T+#|Okq|4LYfv5(d568o{2jn z9a|}h%hUI4VMXnEzRt zFd?{Q(tey6N`j0yecErc;04p$w_wAI{*I1|vcs?syY-!cY=5O7U_#=+^ z9kY+3`Gt4L1NoHKk`zAha22PS{uGp=vm9MjZ1FhFZpGiRt1@U_UtLwG`{=K;Yfg6M z?fdWU@X%Tvj(F%DKH86JZp-M;jI^AxH!HgIl5cZSs&ncH(y zC8Xc)&|>-Q;Xze>;r`=*Rz=yT9;=;nSfU^I0-KuspM;wz=?@GlpS#U)u$ z0Q>^r#y(rJ<5Ze7ikcWCSh)EPOXkC`0~i=8WMdai7jG~95OQWUP(1>uKxoM>Kg6Zv zr+rb1**l}r;_Zqj6Duh+lk|9oy>tfP(#Wzzao8I#*MXkf-!Ks_+k!8jxW+2Bm&-6qfbtj=844(Ee%ce(Po-bt#m zL7Fb$ZhqIuJ?P$5+4IC@=-l<|eXGpup@4@^w%lDb3dFr~VLbQr*1|B#yK-pXUHp}*OdE*vxqQlfwbM7_)P&n6 z1%BR0;aqek^Bm_scefkI%U38QfbyG_=*OPBDHJm!UOqk~?AEp4oivO=Tcq;jwKkoK zD+lMoQp|(WCky{DfqC(Fd~Vv3$vFe@r=QWK!{qUBrN`;_$*iijhnU(@|Ma%`M*07; zpI_~`v07iK8BJAd?X`Baw0yHMUflllmyC>zU5S-X1a~8oW62BaWUV9e>In83mRH0= zt|2Ldx`>mGQ$R?__x1S}^qQWg+ht<*Mw7f}(*xlJ#G40Puv6nuSHNsAw$J z7i%t<7k5Y$(~nPwyT9k! zm$+($g{$J0UGth{C>h475(uNE9ipEq!>j7;;KuVmQZb@mmF5#aTM36bV4A#<&UiP> zp!c(_PiY_T2)abq#D6GiWPV^}dg5ehR?N1X_SC|`JonmaBwu9G6@L8;DFCMIS6LY{ z)X;PEBAf#!FZ6n9FJ@V|E9s^gVS){sBS0TnET&EFgLC)m&=}3f5Y17sQWvaBk?QW} zfQ|LlP%;A=G*`H6R8rR1UeOF~b#>q|je;({H2=|noA9}E@!}+wNiyEGbx3-llKe5D zo6U~T{SsG^7bTs3%pDV+)?rcRXd@(8Q(44?Cy&;Xtf6ReeLYqt8ts0`xqH4p*89yM zLk6Cb_TSCRy1JR!NMvVtZ6*D8dzVXAvo&S!Bi+)*dlXbB5dUD?#zN8M(TJ{d2im^y z#kj`N!W_B&tgU5FljpLFr?WG)#u9&;{}u1qgS7{2L>%4JKbl-Siavg0q&beY5^>kx zC$?>Ty7{*ZkaWL)$d$+@h8idLk~AzF+dDYqvlDOOFJ6xhLB=gP2b+Ok&ooGH)IP`= zlc!aylCHcR*rhFN$;1iK!v}cz$Z8rJ_ry>4tM?y6t5Cq{23P`)+mnd&;*97bjML8< z{+EtlQ3H|vE)sK|p1WReFaMB2>68EY4EA>9Gl4A*tpgf6a1xwiLkk$_A~o?7%2Nte zDGMesbu1I5UxawPOf-hizbPobH~i?Jc6l5PS$hR8pQ0-_ZpOY&YEzv(&fw>fY{$TzZY}&v6lV2QA-DeS z#(w;n#*Bl$d$t`rLn|gf7GqJlH;@Os6-zGKt(7G^sZlyVy20Uth&Wi2Lo4;lXtMN1 z3qACoVH29$rcgD-a78y3N-r1=T733sh&P(9;y%^<0rKM z`(1r6zXMgsrV}DNYGj0iJ|P7n1nlH&XhZn9iuxMr5v}0!L#S@jPt4`y1K@)ZGPAO# z5tq@bN4LonzQcu~7tb(Mpx>@8&cUi|kkSyqRJ1I*(0maDx;ZpWOPD-sY!34+jE}G`R_UBgc~S3T{g; zG&7V8C)>q(g{6Kx`p=$U?{TyU%T?ZYI)qOpL47Rd)rfgBFEB4@r6W(lccD{Q%%{B| z{m1h?E_&0xp<8lz!e6n6=63U35-!ay2V{E*J7g7pmH~LpaUWy*f?K^_@KE7GRe+kW zoJq^G#qGV3TPb;djQlRliuF^3I)>%>JbqZT<)StBO*1)$iTJVg`@NP|sx0iZ~Dr$^&Z`4ky zLeMWUOtfxVKdNYGXq0fm!_>C4AesOB^XJdV$hWuO;&whL4Qv{00~I)f$FwDX0`7hM9&hYZEzjCu zn_qNa*JGZZ?!8FguZuvzI-i;iXd|-sq+`6Jq z7Y0xN{R_oBS?|i(HtQ6(No6*7K0keZ?ixA%Kmi$ABWY`5)Hk->6n@`7YAyY(Y0miAO2p%P3t%cJ+bpG$rY?_>%n z5A1&LGSKT=Wpy)OnQ0};?3+{F;nz}nnMGUuE~Yw3Du@Ry$|*itFfGjk;pEg6;%m`V z->jRIQdjrASsLowbTT#Nlv-X~MD5YgTo|+C)r%b&1ui9)K@gAO8f?}Yqwu5q<77`a zKfU3!ay)wV#FA+tbr?e$F19owr4d3g5lAeeNlo;}0(H;2=2#vMS)H zJ3h}l0?otH-~ZK?gdHJfW)7{?wEWgR`S^Y>KdtsF$)I)r{aYN20kdLVxmmA(vJcCD zk5ZQ0Z3<4e<}-*qxveG$*QV2*bEbIi>|m$G^BO6h52Wo_g^oNCaAV**PmXi^9!k@U z(GC{!6kr8P_}LonEG2Wn#w8ji%#I^%$|mJOP_3%ycS;^xV#{`t%CqCQwth)DhAsy#+zb8OV+xDi;GTe`pdPT3>gln~l{qlfUIx<3lT29>3SE&WJucP7S_8Ky zFX@r@D9VNs0p?BQyG~DVng04;_>8EK;VaVk^fVUug;O4UF%nmu-UDZ{BQL2RAn|B; zN0m9j9`U$*42OXGo%WB-@CZ|ir~uB-)CYF}#P!K-8V}D@5|$)ocC`%hS8{>i#pKaw z{ZM$W2?A0*8p|8|ajq7E$Tdl`joXz^!ZFaKk%J#%YN4gTYwGkh;~hXhnedFXQ)4rj zylhNfU%T_8@Org^M+4M{5O5tiyevq8A}_d&@haDx`2BUAYhnDd*!_|V0j za=giJ_B-TOGK{Qt;^+O-y5O?+>9{&0FO5HSc1zV@C$oGz_8ZCae2s0T$pv+giPCZ^ z^1=)02i%NlH1^WL%;C+rgh$y7tN2MpE2+dULHNS1XKIKLIdT1=ooqts0u{uLa2ZU~ z%<-Zm{Iar$TJ)X`kpMMPrveS`j*M*BjV%$57=EPOe)+NRm%5;RLby_ z{4q&4llniXLRw?k4B1iGrM~9|M}2HENc?wbG$4-LI83~9h}ow1gHSs)5)-;Gw4tFv zkGaT~1-r(iPJn!T-}Q~+)Ta*;pS7@QOL+R;>GMJ9mGI3~l*zKPjyP%YEC1XJ`X*D6 zKDiJ4UHrITJ}F03N%Zi{j(=6>Hm7%>@$)*Rw)T}0m2n}K#UT@^b^1oF|-|M*}@&VW+z3wqq~Ss}15 zP9vQg$H72hM*{h>8gEa&j(g#a;!%nJh{(`JHdzTH!b0Sh>OT%mVc{K?bX@kmF?J8P zk4E{XzxI=I_S)1rlWZou_TOKUYx4~63yTT(|1ra>1>GSm{xbBz{m3ro`kHqhQ3+1Q>(ho+oriy-=&vM^W-Qh-J0 z_gko8W?HrxHl@KD%E;@3Z)n<6zpw)rsT6gTR;3`#Wf8wS|$l zi(I*r&9WeP82$vEDo4W(d=s6#k@@2sy8u3b2o_()9Y=FPWG<#-^|_Omaka;KrFY`g=z+Ryka)fupob^=CAE)JxfBN zi`R~?@guzesVgd^-pwS+nLXz=ag$>;wEWlJC6QkIFpP6G;D2HET5;*H;K#9l6sy&! zGVJo(pCE(%bvG!Lmv!pA@lox?O(vqjY-B2`b_Ra#H&qE)JzEkM2l-Du#w?icg9P6~ zfqE~Fcoe(Lo_eq99uUdMRoH-tQMD9N;g#69=gw&pc>Hc_y&&T)F>3DD82wOwVX7=z zC;qRN*H+MDU_XeTz)nZ>rTc30)TmAk?!JZ@exL+&~-infG)wmNZl`4_X-GWfp$ zvom_`BUWkp!u&kjuy?kpf==7dpDr#gz0)((gt0?5JllWvn#bC;(31;Q-Me>N8ykz* zV+2s+FTGRjq!4_B^mRp5Fv?-lR9| zE<}*vA@oX4Ri0t?0!g3`$F~kMq}YQ1-36bAYd0{{(wu!DZJzY~D%^?UF!VPYIkz3> zuIK`DG_TW(69!GPfgH&%`%XqAtggvzC(QT}3Y%s`M)xbhZyj}C>OFJxRVzs3E+#Mj z`AFq)d+U%;&c8UK$3?r}Kc05Ic51)-voZ!=)5ooiM(QOuH#d8(cX@NeAHZU0Y-?%B zT3sE4r_`%GwjZvocu1?p2_g-usf(d6ICCb!a4*(v#O3Ab=?Nw}263ME@82ZK{FJEy z>M352#2@*si2bsZt@Hg|Jhywl^8tePqTheg6~}a9Cmbgj+`c<5!`nYfI)|IEM}N5V zcs*Hfs835%8J0}6REUfO#?~hh?Uu&OBJB{po!E=Xm?*Tk#o98>p~8Z)CZG{kmSu4WA>3 zWT4a|Qmqwm(`aaZW~ltW%~kzX$z<@Ei=;o81~UOa$BuL;+7WM>|D=rp?SZusjcUz( z&G~OwU_RY9mW)(CM)=%|UYqLU)&H+|`kg!&DO6RXazgxJc>*vo>VHsLM#EGOvMwiEiujz&h zWaqapYwM;m8=~17U>kwR)PnfW8|}%?`ty|H_2zU>&&hx6T6C4#T|V3vipm`%-i#Ok zgL|FpdeCeyQ0)7Ix*KNS!56n?V{60M}f1urPHX$tAV<+*se~ ze9A}k@??P7{Qhc2iM_6ME!EP3jgVpTZ1QDE(tZk*%$g^-`3=~CI zb?+NUU^SEd$}7tnW1-a$&RKe0ouJPUk6NotS5X+5&90qJ9-jl3Bxqg?PL2N#4CGfO z?p{gIEVK@a>uVGBFNP!0D9|gJFj}gm&noKt<@s^_e!?TQlXdW}H}lWaias%`ywT>coZ2qggpHBLC zQRX)G)Tc0ll?ftx#&xS0w`p~1P*0k;VM{)0<6+qScAX{FFQ z?@mwNWFRi6Rk(1diX$9Jm0Be;!N2z$m%9%e64L%rb##^hvu~c3ro@ARl zvFYRqAY?$mhUL?65{VUm?%%*vJ|~W|74ZB=_{&wM6sfPraTjam($N}98jcKUC`|IN znik%+t_}I>v|`g7UR|)`)Kp3btQtS{#ckJf(`zFz4OiVSJ9gPy{AXwd-wKd)a{lv< z$tS9*)JOs>%)t$apR`NUz~dls+86 z)fvQ@y{>)|E&?z#U%#H(JcSi|QwM?#DUn*;yk2yi3?)qJk{kc(%1R+uvW8f_#$yg? z5N^!F{;yv~g4s0|RYK^v|M z$Hy^y!D8K|EKQZA3iGIv%Hi;!dA0Jo#4v*Co!MJzMH;G&>Fv;pCy;e_-H*whJ!CMB z_^(rfHz8=0CCq80RyIRr#f|^pwf7h`>ODT@pX5;f3^&Ol`LEH{NX)n?n>>i>vRk!+ z-!XL-AD)Es{myaJe@Wyt$$sZ&5~~Ic)r6M_DlL>ly%6j=R0;?p{6y^=`pT4ihXLCE zc`jQL`h!}T;&8ly0mj`u*`zD^Y;ysIUv?kgfyM^?1Ez`<5oJf_0II^FcoXMsI?tp! z2}j-lHx17&8r`RpPK{(!ak3vgw58m$<1AgC1h6Ht&b*5d52k|}x1pFuI}Ch7m8TJ` z`HKN~t>1)4x_Kk@ZuL7YA^Vb$VJK>`WNPE(zL_I2_3N^uyvqY0_M8Rd+SHsZz*?=; zP_JG;EiR;u<-vtV_pr`u05`o)x_ z*!b5%7wA1Tq&6uZkMraGfPBYGmn*qHRsVVBcPsSmBoA*?yV>J4Gnt{A$MCj}iTrib zKiwzEtd-DYzuECrH{O>|J0IVS@;o5_GmUcQNVBuI?@6FVBmlER<`}&74a(B+bR$3Yt~xrT8yhBP5x5+~=rt`B7gxwgjjbEV zB$Hr1RVciwC1MmGO25}{_NJ?68xBE|W&Jjmjmi~mWGBAN%x75#h`s%~_lPVo1N!hJ zqr0|K=D?fAPQK+lCJ6&8L&N{jQSd)Njo>=^eV-8g{r=Nv|s!^L*mF4HM98s2P(;=C;1j zGYu$u-`{LaatRtji*m`$RNNf^&j(mnf-eyNo*JpFs7RetKd7t_G;^L%lx81%$u+!w zpyGoZ*o2Wl=K1ptY50DC69k67!_Z>2UYn5xhS=0V?D5!B_GOQkxl7{(UM2P-LH5*D zfQTu9jB4ne{gr7%EPD6m&*Uov^!hARpTj@!*R+Hh^j$lYPY2Q>$RnPR!bl(to-g1A&Q?l@ z^vp^)Cnq!0O3>4i#=#;ZBSZNiOumGNbC`8eTdO02x!Ip61G`M}MDjBy7tt}PNz_?D zP!Rk!(qZVoQ_(tya2-Y!&0Af&K@Np1d3s{b{T{I8J$RyoYld$9)_QX<-z+S_pZlLT z!X)Y=<@m73aKHQy;rB7r`1SYyn%4I|(Z17_v(o2|)794I6B2qpD2QdLL>rJZ95MDp zIJhJ5;?-;po@Bl#ig86tbNfyJu*Rt_=)ZIkWG4Q};tMQJ3$7i?Fv(Q%d}jKy)Yym@ zSET#2(5C_AO7G}e>)K6I z{7=E+zmbRh3`5&66KvMJcxIBK)ZORXbp(Cjh~0Qen++TI2wm!}DO0*|e5ex8dGHV_ zLUfnbBc#177|0zRlr+bTorfNR2YdF$t;q&*1g~s5R@b9-W>%f&p-G{QiAqRfR6Srt zLIU2`DpBWGZbbg2;pu+eMrRDNV(M^L7^U)LfqE8mj5}fY_sVBQx~8F0#l>f|jlV$+ zYn5Kh#k4eq3ZDXpwSuvz;fPG`go~mqo)hJalyLIftz)CDWY2xOj$lAPY4x=ET}~HR zp8j||qa*@Huq>28N(3+R)#d7xf0@VQ{@H}3;6zq0@xqV?Bj`ux@5*b0xazGnk44DT z@%5U|r9v5%m1@ZN;_)@192f1fh#Gid`k&tVVYHFhD_U+~2!Ov+nHs@50OQJLZ}yMw z+|}sU^gx(T4gEn$p;W?3KUn9_woHYH$yQY8k!oc z&UU$9L5+j*euV87 zDO_jqqQbzD)#U8l?7~s-Fg;?HpWNI#fjslOY>%rY_Q?4RbYHNZTefsk=)pC#PY6T3 z-@M9ak*i)P_$C-D7S~N^X=}Cl@Sqd*+1uN~g8eu8%O;;_6n@aHc-8TT1XyuI4Rt+{ z_i@FQ)D{tn3Pn;w)yrCjIFNw+%>)=r zPS>K@Uv3;<8~uJXXK-Dm9lQIjs)RAU?#lQXV6(y|+%I=M>*6T1r1>7}u5)aT-lrVR zwtT-&;thOMQ-bzVQJ(|74FCZcQ-_N-?*@ESV1@4g`V3y)Jw{G0F5adwVNZcI-|bqq7#_nBD$~;B#lz>g^AmnyWI)Qx-XL4|w*CzV&FhA3Sh}GYaAI5d|Zx_0b;G zDBKGg2w)8mp}L{0*r+{YqzbaKvi$xk?av(g@aIedzKdnul96u!j6y{M;94>C5jvuC zoOlX;-YlsciPkn|%&Gf(G2S%>Z+kzliAwfGih_?T{ks};Sl~a>T5+^l_UVgpyukAXRt3c7^0)VY;=5A zEkJiWOo^!5#*n$k&4AbRqWhZ^hR5_t7$H-D0|zMRip3-(5*(O-E8y$<@9$rgvZ7Xc z{uuXYB|%)Iy-T=na{3~~UUJkqKkW2&4kZvT?^npZQJc`GTaYz1!+eFEak^}ZfS#j>8yZ|X0SeLULv3c3(6#5bWD9G zx<1tZ{=2`mHN^j>F6VgzL1b7Yq=_<(Kwz#zuab|F2Z55n}zBUa1u z%@Y3{=7tVAMVXB(Y~+qzde1?M})%f zV@rWU@c9qpDa0;~R|xb{8fEy2pxmAL&PxJINz&h>T{SP5&?Y#1=*g-Dox{KMz~sAg zARH2KP*0flU((!8L^i*XXN{URR6EP0W8l&(Aakwz)Wp|U2$m#vs9@UD*SA@V#iah; z$3VT~+Wl11#-bz)ra3Ni=<>c7Z?Le>m8LLG!LzoEDNg0@ZNK|KYs{i^dc%9m9_O-} z|E#*O0+CCB-dbL~ch}-t`Id;bQ~VOpDd2A2*=LI;5NXAhVsHPf+Hlv>NSGVde3Fhr z@b*AY_uE&SjO$D&@7<{rLjX)Dh$o)%2R^FBQOFpyS+H)C1JyxcnYFP`Z}J&||2aYW zTL^^x1<9)J*iq%Ui}sj;TsC8H9azKFIMa+!mxk|sVxGS~P!TxWHM}b%Zfk4P3I~5s z_+DWpIQG*Hx_+c;%BYBrgZ90s0QGiYVkaXdrR1=)Bc~O205Wr~q1hiN|1V!iT4<^a zItHcigN6C-%6uRb9|WjozB@nHvtkc1GC{xdTln`q4({nI2F4o-F9jzer=p8=3Dq_F z>{yxUTmy;|-S$Zgyn!hG$bx~vgQj|y572Uo`JYM}v$2m|}H*LnDZD?qys}CaqmU-cQd10zXZeGYp zh!S~i<&VcyOZssY`0Og@l`+L+3reEgITb{ZRf~4jC*PlqSWPyWIb~)4^`Yzp)ew4H z38%?#JR!>jzpc4Cwz4hjyW{=5;SA-EXWGj{f9oo0TE=qacVYqHWe}TtJZMI^{P>6L zMpnfO9KjUEUl6{f;dfU1%IX-Ze_8P_4XP(`*nUJhur0<2zBWgJCcd51LP z{T4@w?w6)93u8G3wK(G4F*k%CjPvdCftgc#@Aj^KpCgPmMUdLZ(=vCP=`|%3%&_nN zyvyjiC*gcN@#reww|3{8sX4}N_9sJbYT^Gg8JR!7PVTSOeHCu@srua!@4l&lWWfCF zF$|?zJMf@^x%cnizyE=msi~NQ+|jq#e_+wZ{8?S?0FaN$_WYfH=v2xtTy@FGcwdnf z>phY4qEUCZCofoXQx({iSeyq_Qva^N%AIP#5D0C-dd6wd{<5V%7~mkAiXOuYbZSoGeS4XgYL{~n@3w4s+T5WHyD;Nmb|KhY*@CO7l*4){mt=e721 zu@=Q#XsYja*+XBQX@ZN5A}1#%%95(U@MN59@~L}QKs>)*!91Y- zrBT4;pPM!B%vW~e%e%J{sxJKDl3ifRN;Z2#Sy54e3h!GNK!aFk1b^{V(#yj!vecuR zd>ip)>bJ{W4O6@0;SO?p(OYZe%>B=TjxwWG-?d2%1ZH?`4f#j|sh@S>m)V*irmJpl znAhz<)QMmxy}X*qdASM~d7^3wCsl3Wo?GpYoO&QQhAMdz7IgHOH#*rv^vDPQ@yj^Q z2B1lj9i350!$?9AGo0;$o%nz6sZtJ6#7&Hs4UFM~W2r%lV#nM6Fa4Q>;zb1a&f!lB z$Jam_nK05u#0xmfjon>-<_^y1(5b-N@9n^r{p)vLWDu++fTKKmmdw+AUf?sDZ1!AF zHuq~8Q*-%dpWr%<)$meH>}Wnl;RHC}(NK_Nvs|F-;~oDcF>C)7_p2Lz>X*mb*mEE{ z8Fp_B))G`Y6Gwp{4_o}Vq5wnD(0_W{@Hz!4X}2AW&MOe2b4UN@GS@)5f&A)AOK4=a znT>b!Tq~vfs)d!J*Kf$lJC?d#x&}3RZUG{9%4B>>)|fTPglKwx zh)_`e%H%8lwLM^H1RFZXPu!ue~h3g6>nBMASF>TuWmIM*B+7vDB`EsktYS96v<`rhQr<6lE>@pKa z3dfyQmmo8fxY{cG-)hba`D?qDFuIq2p5iADGEvsjT?ir)WVWaH6!ZxKK0iPkVVi>M zmp>2=d>in@(mu!*h0&bE&ECi1fH-@;HaV3f7F-YeloA!LrS|GC3KV_@wIODeSzR)< z>SzXDKB^*9_QdP$HP(w?dM@htdsV!$F%GTLCoxDCd*OQHN$Q@Q>s^pW<#?Xhf=l@Q z)twxEVg7^xlL3CRgSPv(e(ATp-$Mu#AbB_Eeh$BUd71ONl3*6Kn8e0* zchl50&N0<5sbZBk0kBD-=1JOik+buS>@KT?zb$ZlyQsyUdU?oj)#9<(f{G5mLGzQ% z9C8(wR3O5;0737D;0+Jk5&{p{pR;rFn*KdKEzcI9H^3ix7ibGo3jrL2X5K4%ORg%e zbm!X*ge)0zA?&f!RofzjsByZG3#!o?x>{><+)ox7gsD_sa5>;xnfiHp4r||mCP)cR z>=>O0)i?HxKcl_j7>aNn)1>&>vKaNL`n$e{Mg$?f1`$-7RG3DEhlf+aHZK%t#ppD+ zcs_iR9>AD$_x=2N{`fjBKTsk%jTn{uL+1jPGCs(AZSOF=`_T-29Jr0sPnivi4WOGq zHe$~JQ0Dsj2txDqG4O*Mjq@`7u{GyfHmR(KBb&Eo+GBBD|9$+l0+UO8p4oqtL&)v} zW<(E1$5U|le`X%4rPT9eQnX#(K#S@yEbRXZfI?>dv?w*d5b%b5|?@<&0-NASFCG!Pa`Qi=tw?I2_H z^r1V(nN4qAmDk|jbC5YX1X>ap@Io08AyUZ~&m6k(lcM*8M-Oe!&CLNX#rC!-+r#7I zBf(p}k}?|*D^G!JAU;0(vDOj<9=y|Ug~i5B$VRewbC&)=StU9(P(P0;zt{{3zcwLQ zXT@KkgvL`ZWPvs{&PE948=ZrxxYvf$Cb{4b94`ST#AlaJ__Aoc! z{nKEJDeP5+cvHS`Y;6@@jJ)z^7^~SqBK({qY6tJ~o~HA_DILjhnMb)wXqLD6QKOf$ zbz>wIeq`zI=Wz1}&nBYC?G5koiZoAow*dIWFJ1TpifNxMxzL8^SQs+kB-fOJ{#L2nP@9cP+6h#736)-*JHFg@nq z#YB@?G1S$SNVoy236S}qMojV?9Ua%3ong@7)zv|EewzhaN216kg53Zl+!GAYZfn1b zq5>Qsai4+PZT!OMw(kct`(fN^m$+?C+Q$n*8q;s7xv2RN!CqbEM9PF%8+I@mNPLPu z9vK8-9`4Ep(y*XhCInQGfw=rEw)Z&46`yJZaRf)9r&hLUrMELfXj6DYegwey7R5J4 z*=a>^w=_0_;$J}F?w5X>2b(xT+Q2MxEgiseXl=`i7 z03Y0c34>gx!wooXq_>peg7e)bS>PHc%A)xNHPg=OiljnHGAy95wySHh*xLYWV4i{( zb7>0@D34m#mX=xoy|Iz$j4uu^A12R&+{9^xK2b(powuQp_Ty!$c*i$Ls{oMVDPg)R z*h9_+2n;JKE92K#MNGO>5EWFWoB^-ou(2UZ9M5arCwhS1@gEz>w1B!=ztPF{7L6_O zP@{@&Q)6W)h57iZpX5M1%O^T}A7|aewpzv?&71Dku2U;&gGKF|-rqem2q2SVtIYPw z{n++Om!*tVIr~Tk$dF3Wb;i_yOZm^>DF!oL4LbC3wRZObYCx#Fw|9hTNN{j)M@I+H zi8+}@kE^>BJ9s<4CPA0Xn4M2YI|`B~j-yeDrWLYe<%@igf4DW9suf~m;TjD*flb3P zfp?hHJ!IkbnCN@<>zcfi6ZA4$F5#o6wsjS83E(`>959CZ%0D~Kd=W7&7^;VQ@ZX!y zh)s02xpcMG3?!>s%b=wG=q#?Hz?BhxXB@+UaCI|QMkW__9(T+;I{(h&2v5VYpxDfq z^@10M{0)5@ws$8vdI52RSW17fvAEh)$rT+H0ABNAO&G|9@+}Q1l?0UZf>}y05zd!Xee?^dO-r! zM7LV7h1x2zdNNV`uA27!aqL!deBweTmgdvx8SC+^V*C*6XSUZ8x_8DmSI#Q-=4Bw$LTwv$Wl4GbngI4KHqsnr6H7PzQ_`5KhK`2dp!m|KsJkHNWL z-El+A@@b5vkeBs8uXb}?9n3@m%L{P4S;{EMED+h+Z2X5Fmh*n+L=_>{-P(iPlHj>> zPuRNwJ6EP!VbdkbHibQ_SFH8&MEz@j4Uy|Jw0IyI^LlU0GkE!%Mlsy1zcjttfAsdY z((QRiT@C%`CerYUy2ur~W+Jy544jm{yHo-Bczy)-0o3DZ8M*>~Ar=q7<@xpSjvO^2 zhL+*njt5MqK;j1agO14TQ|iNVlOxWENd+Y%RXVa;gjQOrbW#W(T0yWbf5R}1EL2Us zQ{_H+E4-E{43rp7*Uz8gD!=gFf*XuU=wQDav4zEdi{GyRmKvJ0!8iD|AfUp+P^nro zKBu_LJqpVeREWOVG$Q<%(X2M$=EJFx3|9`0nJdom139|~P0(rqW`MJuz<+ z2kXOdvT@+s3>U(L^1E7XJLj$FzjVqq%UN9tO$oxtUMDAt8Y=f?ICffFfGt9NXY$Of zUsvqv4sr-4@BowHxB0(zrfo7%T5v$%VpAD!{t%+e{gjS5cB0shwf@Ao3#>(4oPQ5M ztIL6Ms^o1fG`&qaX3&J6{sQlmshm^+)-F`ZexN>RW2t%iZwFSrQ8O{-wBZ8)%{PfI zEho0Z)*H+ZNU20VRVm@GFTgiLQU25tS7)ek^x^%E4{JH=&-PlRd$JB|1^mmE|0C%v z1FGuQAWU~RQj&szNJw`|gLHR;bR*r}(k&g*Dcy~9NlSMlaTnh`KlG=bz0Y2It$Amj ziQaopeLWP#nz_#~0*&3mR70JNP_5;+YHfv)TP)>{+p1BLQPzNhY%ksN%>6HqSev?@ z6OU(f$ZGXY1y4!Ks`fXV^II4l@(DiPOQ_CyXlAZ`N(y70d61a_kXP{+=6N+^D8R5Eo2WGT24q0z%N$yG&FLfIBnl&ry0e1 z!8n-rkhuGVu>er$U1B*_X5Y|uwcOH0|2FS8H#dYIB#e=Yq%GpOvWpN4z3H5qbwMYp zHTECu#;k0vq6`SxnLZ)jRuuo682W?#tz$VbI z2V*(k&B-W&m{F7|SOyD0V)`N7oTc|BwcbeN#!HJC3%D;%hkmD;yH~hEX1!_Vtn5NW zC1egv2OC(XQW^_w|Gr|}6)jD+@Ly02I9toutIRNV-9?Nnpo;O2E6Uhi`pwq5-cD^M z+sogpu10c{W)2e_1-IBNT+SU#59kO_AhqE@kV0d8!b>R-QB z53fP8t!pAmJU<~J0o-qH6C=>m0-E2D$S2L{13&&}Dg&;H+(99%P0-x1GmLAD52(jm z=S={xE1Vd&I#m!`w-ruDARmB?FY2$k5i4Um`3ly)Y}1w>K#qHqlrmShW%{ha*rxk=2xxsRfIZn7Kqs2&fB~|u!t=Y=9Kck3&XqefSuHk)4 zaPM9yeACP1&P$Xd1}etf4UB}P;`)1Rj;*8Ra3kI~Fvu|2q9+niZ%&ucVXk zcGjXX!TP>~89dj20MitZrU!>(HhOilP;BluQJsv}|DM1A=;is_p2Ip{u*nz$D*~f@ zC2}7_Gp^<)~Oc6YI^03d1PE%!D%FoI|%v(mxv|r0`nrSh9QuIsQa&T~LFz@RY zK*y$%%awUr64v(h^zO9gknDTggSxh}GX->dN6*Rs1eHj4H&!xg3Qk_(N%e%d4N*!x z$mScS9{&EL&t1Kz8n%B2r1GZ*N%)GmiF{04HR(7w2|~NZ^L0v0m&3<+LSD4@!l-q< z7P1_EWU|+$=ayCs%f5Po4!6(q;ko9`9eF0;#@wI!NZQiSWAP;=dZc^yQ zUB#g8*L1CZgyJ)iDFQPOKq-BV&nmz}1oXwD2)6p{-EGW4wR?eIBSek_%pl~KQoqEH zD4jz?hz*RR_rOYvVf)4`m^srT5XTo%HB<^GOW53~o0x|v5Y)0XVxew+3-P)uQu1sL zwM0X1j@g{ixi^}Z!zujONyCM7GQ5kQ8}!fBxrI4W*51F5_?^D6)rvY-Hn*Ci%tnJn zS{1a4=(Sg7Pypv&TvwBJUP0!GV`s)LmsRt+*_E5?ck2{c-fnad8PIP8Ak8UU?ZHIf zfY(9&BPA*Z4i_iV0`RXV?OL;gZe&1q3`A6rIcom_5yyrq+)HlCRgpk_K~Mg{eA<%z>QLmSp|mlL ztLwuPe>6jRY6mv;)CJfGXDHytp^3Kl8TyTOfhSo%=?sbH%@Nd*u^pB_yOFYD7JGZN zA+CM3NYiL=p~?DA22og62*zcR94Ue(oRKhOQ$QeXC-;Z&=Y{yYKxGL6>J?ia@(qjN zq(=%)4Ix3IQL9^Ng{j02a+qGfsizBTMDzvMJxq+Z15|;&1R5tv7~LQmkP?Js$Q;BWI;O5jM^za4-_+c@mm zh|TT13S?!!_fB~N^(3#hcLZLk8+(>LV80b{a&oEzJbqDqW<c}ITrdmR%k=MJ2I-9ZHmwtuk38NQ32!{metYxvT4q_54ga0NM! zy7JSAamVAkWYb@?THB%Z`9;an`MV|>9&m=>-HZP7|EGLFXE{5T!urr>qI85@wD4_} z1$(E#-t9xGchGmJPBoNh#1y$AuuBd78El>e{#Mxd*k|;4gUKFMmDFDNum$crnNeUG zJTdy?uQM@q|Lz&cG^!OQ3Iuus=4)onLRU1h9qqJdNiE7%@9-?aG7mZd{C!oO`A{bz zrs9Rl7kwfJoogeZ>Vj_gT9Os6q@#Qq9rI(;yRP+W7C=Kkak&7IYd zG$Uk(KQj8vib_HPxmMzzZ1ild2^V55dMebSr_-{4V~jJHw_h{Rx+`A0(RyOKoatr8 z#Tx*%@U~8Ct4en=e|{7L7D0p3@63R5NjjCREO7@T*$>Fl+M^%w3%(A1>D7%A`aW_X zFVHKeCMP&xI6`mAd&T*w1?So;$FdM+ylgh2O;Rk+ zmfD`$=X-6A8^dYU4F$~x;dL2-{#Zr98;s0Muai4&y%OoT=+7<{CSNYNHPjPecP3SL zn{l>N177b9pasCpphOuVZ0zkJjB5!_zwr}g{An?S`iS=3cgkE;|(b6F+X{PeVByArX`ygRFS0H{wLg^1`?0+I)y#Kfa zcJ<&qGaRb^M*aiVcolG_LX4wDE`~!7HqOZ5xH|B+7W}hq)p*A6HlR`4ekMWqPB=zN zgXF8JysY}euI}VIcK_LNNC@)q7%-Cz&NQgiG)0!bsg|jBk3>!=!B&n{m(Ylw7)Q=p zvl}^$)7~p=2w`^TYh!$5?8)M5YR*D4W%8#8e!s%|Fa5O#_$yRCwp$=OH`)T`K zv1S$)oqH=tn@BYKkcM!V?GS8%m+Ei7X$HtPghU~5qWpNm!MdF)ls+3A-U1Q4(}y4s z;lAT^8d%891)tQ_a{uu|?ZS*WzTUcO6p39l%Na&7si+|k=oetv-70V{ah`tKI8ZG0b&n>6$SE_Qy*>yzm2C^ zNy0*p{0$1abj?P0yZPDgh%QPEF6LVl1T3V46x}NLtts$FX?}50>3e6aC}#fz)17-^ zcsp4hw(qC#VveGTI1t=_oQcwDp`joOD2Z?O34d+j|c)=(NLl8e9Vh#

    S& zKDyj{J4RRI6up?Cx9|HyLnRX(jOsA*>fKlte!q7YyXD$y@95Ag_;Mn*{A99p`Pc={ z3|Vk*1K-Ru8vb)YHCiwjyEq>p3&Ci={dKw_R&N`Y+CPPrkItNuP48d}vo5pa=fJRA znXmp20$u5;OU}M=&KY%N0vtvnWjmMxnabiFzgzle+pg2r+bc&)+N2Aa1#RB#x5??! zO6!Q?aM8`Eaer)hCXCnl`bX*AW8-;MBAIq|bnb}OAo8X`QJjd$mE%bLTBL?eZNlDx*(e?Xk!`Yz#>sqL_w()q|B)u2)aJIl|qG|0^O3Wic?Mw#7PJ`a*0zsRmQi zE9VX1yPsW8S6ds^8QAFGkF(juV<a5n1jq1=dOWDVZ<38 z$kiC!LYv}%Y7w3>JO-fRpEF8S5w43v=sC*1Sh^B zU%Xe|)V+Td9RkmuPJPy-PM&>Jw&AU^E}+fwY=ALo$J-0E+h|-22t3=%+}B>zLYbsb zG97so@-^U`(iVQ4yvrOjJ%a>W7D!D{0{hM(>5hdF-NU0iC*7X#j+-zoV|UBjzKNQh zx&^Jk*uSRkr+0N!Ge_69c28S^PhAC8h)m*DlZ3mEqhwX6Y0^Xk){kjJu6l<|hf}AMwe87Leg`c@Y}h%Q!{9FU)4g7LE?1(Kq3QnO5@*}&mQe(IJ5ZkxFh%j z8ybON5oU#ZReW(Z0U+|Q2QTyhOw>b)FJrq&@-#pd^MnS6#E;2f(a!a}_r)!e8o6`b z*`xogHaAlpUjn*v<`1XL!&@<9Ye|06+AXM#Fs*fM()~=;`Q>p9v=>fSW8fjk$G{s2 zq~Z+1=tSC9=KU_8sA(stK$LRF<9f1AqmC+_CjBjL6vL;Bf}Us?t}aSlF4?fv`}3az zZ{6qc{N7zT!>iKFrBS>HiC=KI2EX~N;sdA5>p*-5lrgp6|4pxyh;|qt06$N7%*Kk8 z0K=hOxU6y>Vy}<4K+XnV4fHm$vIZi3V%>Qz*&oP%g`7S=-*%9tP5HH|8BP6G`<`0c zIPMG?T_zZWV;%a`c{NX0_zvn$h9&_BL_LdeF$6^~h~lUBz8S5~F~kYqMb0ZSX6f6% z7)LmoGVfwmkYFDm+2f`Wjvp}Q+CPRJuGoDJ`4N!E#e2$)D~j?VI+r!ukz`bloa?W| zP~sueu^PSo^hC$_za##}W|qyn+IgAJdQNb5N(yEroApmNBu*7kh}yS2+}8}<(va(f z5cS4E>=DVN`XvT#NWgRkCFlp{65^bG?by3mV14CO|4B0@BH3FI!XFulbNdbkJ%h@3 z{}Gs6&v0(a6~_l&{@OnG|5!pKZ+kc>6S(U_AH40EatGKZcvTgZK{#JL|1OnXzYINX z(yIz0j<1|7Ik@fMNN|71Wf8`Fa(W8dI+a`r5*Uvnq@((dm#a~QV@u4%2i3T$sspmHJF zi90()*3>uPuHowVgK8RlY)Ys@_dA^(sX*}{3wMx?)+{&bTXkVI;pRfy)6KH!4M2Jr z18o`j|LUmM4^+O9zkdWb(Teq77rJ-n>4n80C;MpCR==TCSqQE_G1}-znZCcX=P%OV zXb`ozPl{Jh#!qI5;=o$O`)6T+lZOYIRLT0$&|l7EpvKHEF@oMwjtk>=xHm z!r9ED;|`avqJ}1H3buS%Pks=0cm4-NeXg-<;_Y};uob!{R)Vk2c7QXRuu>s~^jOi? zZNxpO#Q6I?dqH)rKcvY{JlsqH^BQI!$hXBsD@X2S=_~3CtIbG&RzAV*dyh<)gau`F z#s-1bORn*^q@BFrEIKEsd~!p3^&lL3KeI&8LR7D+W&!Q)YVG-WO&2^&_4B$Sj}$3_ zzJe?tWJ9>DF>+sq`j3ZP+_b9yJ5i>}vGzzxyV~gUq);r?i5`y@qNSUyZM&~y%+SCo)mhNXPL&8~JYeSpwtYb7cq_dSG6;uGj{~y`y_y%q zSA&s4*d`768h=a$#P3vbQAUd;&k^Zd8{n~E}Dq2o_Zd=#tdoAB4zr39LJd&B-cy`=+f_28{ zF2u(T7-qp7$LINemsy-jp)t@h7M`--?egy!SUAiRh^_iu9Ndj;^nISne6FiTj{x*1 z`7u*LKoxTs%rsI%vPV%-z6q#v^ty@;E|h7$#?%zH(8U*gIAv z=tUV6NIak%H*rgKSt0q)s3O@2twk-C|1g)_Jb?{*J-SM`kC=FeoB^+JO~kYs!fodz}tN)ey<}TGG-BuT|mMR&&z`NMu6KmKCEob;4{B-R8{SQ(~{e<9Dh=E zP`c}3Z+%00y<70>Zb=(b`T66M*_WY!0O$63W$d1gZ=1zE9~ge~MyLO>i3 z=2P_7<++o8*%u%uOE5(G2(Lh(K14c|9C3U}&0!D+wIferq?ky*WcL;R!(R!)BdoPA z^OnAELG5ku{B#Lt-gyS_Ykb}Zih!Y5JA0r=8Z^MRO ziTpOjy+7hzh;tc!N_ABjGOq57K;#Y^7N*;GM*aklAPm6sx!Q4`-ch}c_lW+oA<&CC zO<&ap_0-~R0!RXA^~~Y~XDNh8yF3&fE_R^TmS9WE_LtaK^!^ab?g0sAI?mEkVS->V z{M>tvn{Z=K&rFYA4}$Fzi{6@8ta)tL;@b5d$^GOlx2#W?WgkjgAPUL#W@g?IC1-^H zbF5Mb`_L`@oI_jthyBgB+yCTZ7w)f30kcr87^R5Y#gYc7P#>u+W}5DR=7zF? zPpyo+YW((n5=d!&=|(#@a=MPXFOCo^De6P7jQ|y?335#QFOQC_{{jT=prsdWoO7Qe ze9oD`q~fLMW#5OJkB^Uw%K)V=c3k%=pWFiP>uO673&+ARQTcArP zsp&2*EWCva2=-U>9hBGqz2OIzQ0NIVyBDC~fI$+l9{xZP+*^l59In>Dmd3wddeouc zXrX98Cv?<%RE>sM=AQjVlD>q>XK80>lc@B`#$6`-o?U#!S?bhD%lm-dnYHmdbs-no zO@rc&tU6`-*;S=MCDUUaX>c#h3_4yP90_$r>MhsZ{YJ2A-f@hq!D;jMKSZ#M?qayH zN1?<4-G`giv`mON7X#|ZKgEck6&dr;LEC!si~Gy-6Ikql++}n^tKa=(l+J~Xu#z!m z3IuX4qK96)6LIHn?ln=Fj(?hH^YmR6VRqise~cHPg)*^JNj6?l+3c16{$c8e`V?9E zlF;_jQt~ZF$0?L=KY_;f(Am4?3^Lihd1fe-_di5AtR{MRc0rxQ^w?+n3X0AM07k97 zlZL`4Fe2R59x-PF6ep#Ab4N#PZ5{~m8>0U{jkas!VqF;B67KwXkrPS|q09Sy96_(wUL+nr+iTyPr)SqI=FLL_WSq;H0+-Pc^@ zd@rs?YOpAs6=QURB>A9x9KHl$iefb>Oq)Yrxn!z8LUn=9UC<5(FLxcOiZ&PJ2Ruh3 z-N2V?pC>(@EN^$;<9`=tdXM-oVgpJ}$5qbc?feWfEEVHpruBEXv9n9>S+!{Zwr>q?mNYrsB;$F>A{&A_;mivVEfC96St5 zH?;6-U(R)-jq{2LRvt#9G)eMk<56xue2p)F8=5Wl5tm%uAMh zZO-Eq{aSILmRzmkGW#q(BJiP&7t-w+()$;)##A2xfHmJxX+s&-)I;p{3idhcQ0m|) z;wEpIWq$+F9;7;!^s)cYj|OfY;1-_7n{8I|1M(#K(eW{PB5K%qg3!R9$%@u(`Z@PM zYUO7fzql^ph{5z514C?PQM~6nXz-|ZzyC%}nj|XY*hlQ`q%c2uxPF+tbhbyis&i;= zhenIyVA#DmdE&1#xMt({IF?=~BVAYENnIq)gyU58DbnvFO?0 zqKC|TLVL{arMR9b4P7fhse^>2L*@l&Zms6`5q+fNc?o+??~j)?qdTQR+I5_ zY=6noqlP1}^kszn2A%h`$e}&Z>JZ=GQ&tS)j*rwmrK){lQ0+aQfPZ~kfoIOhP2r7? zl`)EVVhAqA%4uvOe(tS({8v-veo)4aGAF8t^GEcrI= z`5Jsqznyx56%vdnFmOkY0L2mHrkJA5BJF*Ae2k1lph?Z4oAk6$scId`gcy)W_54-}O0>@2Hmb9b{b|$d zYqV2>ueGG1o3@N_R3!FmQ00>^ULMVw<#b}&u!jtOp48cIC|4rYfVmBHA-oYjqbNRn z02*^z^DDg{q*mKuexeEUS9R&HH@#qh0=-nZBCs?ll#&pivy=JxW)6Lh^x~uE_toz|y1z322r@RPgnrywU#AYAD z)lH2S8+@+$N9zt+OliP76LKUQ1FE|`lS7z^wvIV}uD3B`g#s>`u+BbEQ&+F|n^{(F zq_^&F^NPTHsaF3`n zE&NAp$&2HU(9P*KQ`)~1unkB_jF;g=NEJxTK9j;8KYtRyjmZwM$hgCcO^k4&2@av8 z1&;auYw56q%JSLND4=cOsK*zh0NR1=8X%d&t3v2lCo?Ku>xrgCfUSKrmbUk6VoXKF zd8@zP_Xx@uhQT!mF?1eBMuBC#Waelhr z%~n&nKDPDwHxH7PdQY>jfv^sTq3+l8+9P-*7-^8FXFsKnfgLj4*d_=axj$XcZ^X%H zH4$vFbvX)N_=rpfs}nyvWn>#w87aZp5o=*GyLgSHedc+Yg~O*u!O9*WmmityaCtYs zW+f@cbYMB^dR}C7>!{)p%@{!*faAb6V)f@;(YOxc(ildD&7Pv{{iXZ>fq{{=Y!TFP z<^}qD{htL$q}8eQZ%_53(=NnzK8)kO51-|4J^KRT<_BRO)JEd+*4i!Q&zC3XCbj&O ze|pUh)PbOBm~WFI6eig}PUDG(NGS64Fw0z`P^lNDObO(Xj9(qjhRv7LF1QiTs>BH*?V?@X@&w@jbm#-^W( z@|~C9I2;%7WP5t@^nZrT`7An{Cr(L&x%*ZOu>nHF=L25E>rF5X7L|<)bqX-0kVDQYKu5(i{4J?UZlnxn#T?0lP#5-vDzf_lx zLe>Y7BvM1oKMV`ru(-tZ>Fk8Asu+$X70T2i5tZkrN2~Yq(btYY*yln)=ot{cMaoFt z^>%7=sqt%2qMu18$>09^H{VP)ka*izFzL3B$-(iwpgXsf*uCG0p|d;@&El}PYgumgY6+rQFo73)Nv z13Na*c=VsbE@)fR7eSE3G#;*)XFUdcbCuG&ZXsgR*}FC>4@c3b+Lsi^_lLsK^bI%t zkVf`E_nX{;C!|#FfnRw#gC*ZRE$QMiRG|p1VnEGMBn-hAc49}*T%z5}xe^R*EO=Sr z6S7z-e&O8CnV(c`Dpk)44H}E+HrtJ2a)^!Q_=KrcKW=#I9$P7*_#+Uypw`&k=n|!2 z;d69+JZ_TZQn5%imQ`0^dFj``H}BDuGyPFZ1wMrQN+w1i&-7Dgg~(ib?1UNQ`xN$} zI3dqR6YxH#0b5>i{uDAO$#_5cU3Ljmc?}WfK@@Q z?FC$vG{X4P8E4t$rY>1SO_gfu5r*6%$k-|)PtSCQPaeuB!*v}UF>YyK@8f#I3e-CA z(t35}h2dL|{X+5l)@Vo$S8RY@7K8%98yq0}*X#}ySpM<;XQK>45kWmLdz^_D>vM4M z!Tld60!RfJjg)V^0_4JbghAD`&*}&B)>H5zyeApR*SZ9~ut)w$&u z3{}m4Qqj@Au#5;;Z<)|zEdN}!P}24^C;7ZWX(%9Vo_aiV&2$$;WPl*_=~l5OxVbsN zghk}(ARoj3lH%iHMdd&4d3O$@=?(HmRqpS`IMm_M7xDsN3#+TGPjyYOrT-D4`%TP% zrzhYB9G{%r`~!mVDLqdp%bS25pg3#k>AmbQ`5>C^Ew4S_0Lxdb*7^#ZlXX@Gr7{5u z9MCPj5t8?}093{Gt~m5$`Gk`hbiFNamA#MzkL~MW5=+`K{q2Tu;OErLJIV})1kA%i z*D(f=db8Yo7gAsE-Nd8ixN`BCp)XnKDO;)DB(1b>sdA#?SmPa**qzUF_RD}V;p3~k z!}y~b8aM+_K?A4EONgGRVHC42&=X6B>z5jYqEiV#Y{%ilV}1<32bfiMwgQfuv0$Th zJxC}R9rq;$a?+&8(105^IUPm7P+9d2Oe3Q-kq zG&_oI#+j2^kj#A+N$LxBTD5f^ricYvtyJbaq2x4cQ3f;}BX(-nDMG}V9UZh= zu?dRDDPs(VHs`;^RZF_*l{p~2<(P`(QPvKBKaxpL=Nu{Wd~JeoK8*qt6MP(;4T>?; zM7-}zdgAI6ubti0UjX@+laH@YiK=^LbyWvkco0A(629vZcob2%#pnipwS$8LCvFuP zV~Yv!wM2OBQs~X-mkVsRmqeHCB<>+5Jq4rJ!?(`BtYrH&WO!xao%vGZjscA!E}7oa z(a`}UcW!hs%j%&Bd{0Y%LEu*dUSAvw?v^Bx=u?NhJX9rTxv8$VMdC3*|1Rb+^Ayq3 z)Q>>|sgXN5uYP%9JF)6GpQP^!vn2X?|D;JzdWBJLHe7z0|AC{x>~95@jlLjDcqoluwA)~BHZ0s5Bi$dcmSo9*eW4&+eGjxyNQZDhYaoDfE0Tepq$r zrr$bGk^ah`-9!53vxT!WE+QniYE?ghN#?6hJhhKt_mXRRsE`cTq%l+ECZZbW+YY>T@+>;*oTl&0h}xeYW?6`AuV zyH4l+**8)E8`*oG{D=GuTdMSoc7U|;h&T7S`miKj-}6AJ9M9 z@vpT5xrp033t$ir%Bp_f&d1-7oL)2u^t*wOp>*UMI&%a_a!%mEHjI4x=W2hW_2V*v zr0k&TFE9j%xNd_Bh z>tg)CO&W|a5bvLLj;hww(E*R1+K7Yio8vQ%cesj)Y}Ey@Q=uX%tYSZe5g-S6xWtAe z>Jf5>*z&2tx!eOy-xPE+Z1)`T;%j+-w=Y&;WmV5!CYb-okwqf^$#Tq&bDQ9Os!x{n z=U5;7R{n{RjRmv;<2?$+hOl{z-5jSF=5A&S5I6FXx?1Ruh=z8|&KLEAI=~pUgWdaF zH4j~wCRY?1gliON!Qus>yZxxw=g8ZcIj-ZAW>l@PQ0hb}svhf*BkJFbY8NA&)C5is+Yw{Wo``x(2zZ^TEexn$yB){ zg!khX+3u&a5|O=C)Q`1bX4H1GWVN24jT#6X-c#m@$nPrOTM22=6qjyIcu{528V)J& z*Fmf~Y}cw^#$$hPv;!$iGc)*k{gvfAM%NBbI-4=th7NVN`*;ExCvKxu-$rNWgyt!%< zjv_1WN#Xcpo7ApO%yuhubqS_t9_uO^wHa?Z@O{BFgrC`Cwn|;I*nKRbe*7JcN9vwp{z`m+XU1ATbHg=(s@UgTOloQ#fP} zE3D5F3?$(bl62WDnn8$B7Kek55F;{m&s?N2%yeJXb4*;X-*O?ML6(+ww}T>*0Y8W* zgF5PHz6W4YxElRg(Umgk-2tGNhF@^yX|PYq^Y}0N0*O=Ai#+&!=2Z-3os=2Y6f1gc zmq<;%J4Sx*m_5&J%dE6{FpK`EA+D!(p?1X2GuV!^pQv?NneLH`Qij}{dWy`)ICVZ+ zHv6C=FbEBKjGPDU7Y-ob;+ci_2{+@ZxI4Yl@Tz7jSnQR3O4?=bKlCk-CaFsn)icFY zc(@O5fMK9;z;d=IJn)OkG)pB9+I+P7`utd;+xf;)s5A(+zY_~Y|!mJ>rh}f zv#;I;Qk`v)z1-dUyxg|xozf71)R;tyupqqnV2Nqu`Q05DunCb>!JznL0oM0eTGDRj zaTB3tAS8+d=7i=n2_yRs((!8Zdbl`wGuJXKud93&xepup7 zE0LtBzI^&H^qtV&#@w_W|`xfR7J=G`u4*@0}c2C2W#J z+JU?0X;Cb=ZAA(D4$TGd@ zf+thwUV~Y-cX0SJe+^XS0qhW5E?jcX0&SRqn%z(tMw)AHxddVC@WGj6!O-Z&If=^j z@P~*=b_UM2;Su`VQ(72X?m@k&i=^J4Aq;*Rsyx&-h>n~5)PR05w)w>VEHe_A_|Tb_ z;>Tmpo=)CPqo??$JVJJtf*m#hr0;Y5xw{Oj-F7ow6$A(F!FSE}x&X}@K$dDs8KCL7 zo6detw1HE*dY$J+GJ`I@Ip?ShB0H3vBLi6p9Al1&4T}-{8#(!3 z;Ihmk3avQC@8D($A+&p)4t4j>?MUHQb#i}(@WZkq=Em$O6)$pdV;&Siw!`vcJi9{< z>jJxn`;IfKg}t0YOLHg%&pFELAutGTl^m=m|8<=L)PS&sL_h*Dv|($vICVcLiBnTm zHI%CKi+2lT@d!~Vxo5&G{wlzTqDyFw5HF6|(rC3z@?7#5n*h_YIJsH>g^u1Li}Oyg z+|)?wt}oxW;nYPyh0kazPmno?#6?H% z=8$hMNpXw&q*`W6)3UhSBfOohq=xy;p4A3s8H-Cx-PwxPaLPZ5s!-rwp*}ioZkWs> znA)6FT>-qrnr=J8NgH-|jXwVxJucVR1<`lHQH@URunBv8Th|-zQUY#Q{Cm({NFzF^ z#_MR%>_0K}D07{x8AEO}7)9q@U#|pa!iL+7(|rd3HDWFPR5U^o0r-wKzeJG91A*9UWnhWqdsa^cPev3A&qI(vi`FGo zstmWTZAY*SxAIG+AbpACd8nF2LwEx3^%Q5m9v%|*0yr;#X;xPHCQ2MkVR`u&?y4hv zj|9I7{5t|0&cG(ZobOHqD5=C+_h8>dfS00)Ix#A zB4z1Zf~^5EA8S+FjwhEt^@cv*+eA!k&Smr^YXT!OLUNFLzl6%Cyfvay!pZ}fWHhJ^ zy>fSf{YAWr3{gw3=kcpGeNVXuT?R-7bm>!j$GY?ZBRmx!4!`+4h6t%$ z4o^wopg4jWi%8Sy@uAFw8`Onv#_~JnU~kjVGv)Jh9mE+fvgo^sV$<{(&*u}w#u(+k zy%#~D{SW}|&p6NNN8LLnpL=Om9&T;`XLGJ(c)I@f=duh6%HD4z7IkI*(RH_%UJL!ISH?nt+yZ?O{af#GW zj^j6cG zkn{e9qw)9n+ou^KaTJ90tS}?+YMPZ_Rr({RK^tOPS&-Lidq{x z(o62~f)acrULwqKHsa30k{KTHQz_Jq`SBSyO%f#8c8o*rCTc~N9;4RZ zzGbGGBz4TZNo)sodn~IRhhpAJJ|vE7EXpxRylbO|)vnQxyD?6+6T6OXSJ4AT3~q2E z;gYmbc?Yah!B8_Z7&+<)G$O!mu+5&as`$s6`>lW3!s;qX%m6TC>vG7at4z$J-@ANp zc>H>bzqq+s|HmGAR91W3i5;`hf{@Qn^0C)Ndl@g+j7jDBi;1fP~-r){q)b zKnItE7aGq5g|=H{N{aV!J6h&pVLg*T62(QlW=}0G^y?#{0J`7vQUQ2T=mg-aIy|o5 zr{00%7zh}4bgZ4;Vsc}Ta`+o%WMmMNk^+R{ymN&{AQmgU3++IL44ZjQS_Q6yUJGp^TLVWq7|lqIL_aOFRde+%h>vH|Xa6hSSB*#-c?UhfI?XKyo4( z6VgxiYqj14po>81n~X8$UTC*W;zF?ix>?23u+8~(qm+K?$Mw)3Jdg;I5pWyLdzxo5 zoy`?d$8VUhcYb|%uV7NX%p3AGi6!ge3b1>m%s<8HMV^B%q*kfDkxkY?JG$?rY6>5!i@YTWdGjZGd;xXLrRPP1F;_ z&M#7eyM4!t8Cnhtol>835W)qC1AZ`8?@W>q^<1y7cuo9(wfvf<>9F zERPyx{w&ueNP?Sj9BZ<4yMTkDUa{OzX=6FujU3{9t)(c#CZdEk1v&G^aC6@=96Lb* zavW0Fp|vp{xhl2G&i6~~I21ROG&yxs3tHx?9REL(Lvr>$M)uzpA6GdA=$kfQH*L^~ z7+}xe0?NI9oMAwH!Um~cv>IkQ#=n>MV4Za01_0T*-TiA13`AiBAYjFdM2iDD364=4 z!0CN;Sr*caP$o$q_j!*ZsD*yh;)&hB$LD(3q9CA$mEnvbQMPt^dU8TaMkb<6-_4@l zkEz@~D;^Wk?9ANl1{w!&2Ix*rWEsd9?^!f zbFn_&z6x0UfuJ{0vSW=51x}FU?Bo??yM7zf7cAv_1$Z3*7d*kB&&06DZtH2hYyaZT z*FqJpPQgyiJu;cOHG;dBhPC~6>AZZ2R4u?N-QPs|JHDntQs1J}V63W58}y#Sf>q2_ z#R?W3m6liIsdkW4=NO0E_~I@qvf+7l*>1fJw=6j_Pi|OGA|f++G@HC|5u42qxniuK z6ytZhQX6fZ^&?+VtztNxH1D|H!v80Ab+(@ZCfe~an6iQWfx?#oW^Dw>o2Ss>m|sp_ zUc_It1vn7}>Doa_juHhY`jy8okSHaM!K~AAT?bw@lUGCn*dQTtlrGD?$KB?fPZM^L z>4w;2YjVVeMi_B?Bng4=jRu>9Do%w~e*ji1erFWE&!xgE{JxNqttgoeI++_YvL1$TA9L5cfQsnrcK5&;k*FrF|GVKpn$xey zWR(R0kV~n8=N5myQ=7f)2YLlYjAr8*{nW?lOsT4>a$M=8*fvpD8Sl481m8~Is+Rx| zT61~y-AUXZhuR2}dm&7I0tY;??F_{pn2mzPGht}EKZ;02g@lw84G#K_C3Vr5g)nBo zy?YBEH4)NsYmg-G!^KX+3fvHWy3sWP*Xf})!c1|ETNg>iu^Kyf$3#RaA;n^a42K5| zLA(y~ep4iB@s}CtmOj@=_2|#_7qsG>?$YnW9`mxh#ed>?T4nw3_ThtEF~)iA z{2|C-gV&UVHBKfu9PmEzNd(wxtEhmRGp+@}3F``ks8qKRo7XOnYcSb!9_;;k>r8LZ zxvBfZZxYM{a&no%A>FCvQ81v}xh_YP-0KNg=mHQWJTyis9-u6C)FAnx2tqb zK$RK{b^La@I2vw3-U%Q&vb#!AUh=rWyHc9>VVUE0mfBSS!u&<_(IWo zb(ti11>6kx3fm%yF=wo@G_T%qu04+*M3t!^tE^kaL4X2i$Ib2S?O-2wdONUn4zM}z zAPA%oATU}9`^awNhR_=tIH^1T_Cj*ICV(J|sVP|Wcz3pLy?8q=DKA03mvjyt};N{_X*)+8El~&FR@6nou z6F|#F_f;1bhXhyk}| z0RTr~2=hsil~Gu}$wmEU-S41+MLK;ihyckCao4vLOpf8~9qSBg9NzF;->NXeB}SBY z#B;uLdo{s^qrepRHO8VsIP@JHyhkAs84+5%MCD2+N`J8Cr?wUSQ>LE&$F(dd+fKSW z@ceg`Ix8u)9{HILwsj%RUo>a)G0m`==E@~0ujxI5W!R%O{&!f zUZObL{ZwQ~941`o71=IKe?M#0Lwr41;Wh2AR7~K_%S<%8vL0|A=>05YmXM#;iXV)T zQ&ZNbZ;nqs%)^Th?i$qn~JHhI%=&mTb4yKC_T8?KEsL#-}rlxyv#1vi0C3lsSR5Y|% zCMyM7z-~*4AISqVD9t@Wb}L4$=uS8y&SL9+zJCcX)=t*JtJ75#?nqLnDfwk7I-;3Hw@qBOY36ev0v{XP4$92oi2m5SdXIEKM!ZMmP6)SR&F7 zNoWr(#nT>G9;Z>O{;7XQCbM*I6gKC4tZqi4#h3FIXCN>pywAaRA1#R|kXW%*F-n$5 z?)uOJT9>LCp8|wze{^bVT0!YZ@8en+(xGvO0 z%3xw{XOAGq{(&Z&S9GE?g4|+6P_>HzZU_Ov3qEu6mE_Xij#gp7$n~j8yBW*K3&f-^ zv0a9#-2bh@SuNYH{=*mwvuPg8+J))}vQ$A)a6%_WtxGydm$WvLreuAS86|F(p3ak8 zR{^Z|pn1*7L$!}T+DJrluZZqG5JP$EeWP;5oiZ<7Wo zQCQ%}20UF$`-@^lif}N~h`ipMaPr>(npEWwsj%Ma12G7I`zYZk6`{eV?%sLL1TX{m zK=MH0+SNhQ-!3S2(GD{~^o>Uonlc_bRdq38Grf~SUy7{%x?!~o`I{D!drUh*W$VQ- zeZL!GFd)EP{XW^|;urO|f}*Sz*)aJ4iarD7jK=CY=N6^O*)%FeXr;$;Rd;loBB+q| zqA{Gjg1A2jR$Ss;w<@ZFYq$78S|XY{l~|p`(KTPyAL`>;Ehl3 zfP#~5EzGbx?1&++Zs6_=sJr~-3}+4Jg6fmA5-zaFmBSmq%zt0Trq0!r+K*gGzN?Wg zt%$Bh8{?-;BEa-A#9nQxFZ zEmK*bpM<|2*cVdGU^8P76FVB}`TU5BvsSOp_o|H0`&?cy`A&l_POT{sab$1F-6Oa@ z1YkWWtm0;jdJK54k9l5)F-#O#R4ZMz0fWB8BA9=pK zc;s7?Xh2~J?;uRV7Ez=yL_3@cVKC9$Y#TXx)y7`47~jYbIkk+|FT#fVIy+reQ>2wW zO+`V>$Hy%YZqAuE3by)r}F z&pW_>{a**b1oG4~fae4rw|z&IaDb ztu`m}5P(e&zC%h7A0!tLh{_Q3qnn5mdF1>x3MunIAL^*1YW%Sy2ZwFCX>)txpPOy! zhhDY8AHGK7ZpUBg#M9G5uZ5h^t2`G~e?&hV!|92?Iq$hGR&vYc^AlOC(ROv?bMdY= z_-TV_p`)`m^c={F!A}-(9R79g^249ZdR{{RJ!aqwF4Er7mFsZC>I24wZeYu ztY;`?%mycB%WK=lbh5ZDdAC(8#pCW6OZ<)TzuPxAi5BJWp;U;kHs;(I0WHy^7n;*; zl8)E&mfu$&0Unot!1nfbXbxO-lyP)^DG)LO&L-fI%~gs(#K7X4y94mgI?}&>dFIr} z#?hz{eLhWS)E+Qlpc&$4-MKzNLVJ*PW78DXYUB1%K}7`+696i10n|$TS{FXHPSVf_ zX7YFl?2#WfL;S(T$A)j^l^_Gn9g$mCiiZ?mAtOQDC=R?QA;WqdnL#@C3`~3HwC#Dj zS*~B-fV(qZ)9zS(T|>h_V>6kXM_i;Xnj}t(U8-$IehNv_(8lg%<#(P^%YZ73OXQW{ z8kWDj`ze7pgGF#bEcU?iWSf>b_z;Sle?;b8_UGFfq?vK#x90R_!(L>0(V9wcoRohv zHdMy68_#^YMpu^Ne@+lm5VLD2&ED2QtO+Z+ui6obpjL4)-kiFoCr!9&yJgfF^rG2o zjcKLlkETKAOF=qUb2j^+Ev3`8FIGy@KLzl**=1=|V%2JX)HYT@5x|_F^l9y`Ir}7^ zAj?GVwt8xheO1@eEp=Hn{d|m-nuX*6C@NjTs7V>(j2Tc~;m|WgiGU+XPBX$@lGN%h zpB8A@g_7Xs;UUckX+bMs%!hR^iX1 z1B*H`yZhnFS)H`)#T$q@KLwod4}wx+-najSvYK7b|05a$t~J1Y$0io-!x3AXxZ|JT z6$A&Vhy%nxflvq5Ccp^~PMnwT9kb(Z`MJD*=EzMUcbJOH?U#f(fM_zoHVa%PZJC(= zvVS4@3NHTzs2A9=%irqVjDzQS&c44OOy}|MzS2A5b77Er8@9HAQz@@)eN@cgoMhIS z89Z7c7sq6gp{lSlm-7tcyx7oc(L%Vl+IA&edAjc;U7xMXcL8(!?%szk%N_0t<|OFNKeOX<|Jun;I5N9&g%43Mq1ftJh0x zv`)WR&t;BXtDk_Xf&fX<*M>~XDk*#PoCv{tHVc=X(UJcT44VJTi`kj9kNl9 zTx%KdcMHB>vi&BG8=V?C3NO)rc;7XMd2Y4?ENNC7OEjnTWdEAxA-b=h->qSnBs~dc z>knIDXGD_h9J7t3j-I$No+(RTXoKdy51;-0K<=u%H{@n+9&I4~p_~PIbT5q!h?0P~ zTaE_VVJNNc8+z_vE$)Bj8-gVoCoKrK2d-vEoS7k&!Xvx@XLdYikQNsKd(Q(g%5>qI zGhrrs?B7zqMCcrpTC3xuzx*qBH5Jw5)@9~nWTRE6q@RTI+Gof^E%jF>+CzqgMwsF) zX&^D;y7->&2FYc{r7RVYNqF95m5-KRF)L zeBHS$f{>1kiB(35zwGH-T>)^Khgg zhV=9(!M}I^00v+Pr;8z47A(_;`1h}z>C;qCy`HyZws{1iP0`Q{Pc0bj2WRygSSfjw@-e8fTI9b)w zg>@B|@hI>+I8NT2;Ql#mq~&uDpNP&(be3Ib-WR$gr>%}JgYyiKn!A+cbg37{H!j&X z)Bn4I6%jNL(R7CgRV;br&DE=5DSd-;^`V3NF(^^;EYhNBLFsjSZvH`5y>5qOtuG&~ zgGpH!*E}?Vs30hqhuP9=cip7cRg)wK;zmU*r{~O&KP4s15)o>)lNiyq+VK%AOG26K zOac0;U_FTxY{pjk)SZ8;#yZ9iBDJnD=)9f`9PB5J{-<(AfiJ}R}XjA2hdI@wUv0pMi>j?*Z>C>ExU2|;yPOAzsH->(n#ClQ-=Ukk(Z zkePhGgnpdwP&9JClHBA3QG5jvC$3#;SmSQzBZW*%>EogO%4b3(t{QfDKA>D*fAH?r z>HlkP`ul;N>R@W#>&l?H(2}4mm@E;7q2^+JmRKj{jjEwsF#o$c6WKpDESKs9qG-E` zg#JHCQq%oL?X~%8R23)HvixcMSx(5Sp+=8Q<;v1sW!Kxf_`Lk#Dx^?kz-rO+FKVGr zo2Vkkq^4MIt3r&eQO7wWts_KZpY%3OL>pagU-ee$1kD7t%otKlj*$$C#l zi*b@HDx&(zf-xC?(L3X^ncuAJb<$b*p4p^m+*CZJoDhi1Ee|Uu-fJ3P|EEdvz(}BW z(1**mc{w*~fObj*e;>-LUs+n=nab4u^e9-W9lk0}wDn)1AVQ@ujs`Y!uzg{yfWI@+ zcSGeq-{)3%*9jOY0MDVd`201F2$OqY5V`V`l6%FE?usG(%+w*x0t3JZ3QO8Iz0rUH z3TXTo*WxwqK68cdJc*B1b=k=Ncb@0f{2GM=EAqd(&ed?c&43jA?P*NYRxGon=5 zjvH9?-&}w!FOanZCS|7c|0338NX(oPG&X)l447v^iSGheBP zeMSGdMp3YvNoWK&lMn}?OC9OH!dV!Pa&i~BJSFUlP-+e8PHwZeV>!bh%K!w z&LyiT*)6;B#ZD&$u3^?}8A;ny4|=#%QrPTc5So_6MSAU?sOp-KTCvmJzKe$D2dH5c z%=of9q;p^cvPK!!e+F(y)ait>(I6@=lpneXL#|YY>*X}(-@TnM1861W2gH`A*w7PY z3gK?mb;vnW&;lRy$__MKljsi(LmXXQzq?X+Ryl2MZwqj9GdIGZ5cQRKIylT4Etrw4 z<}A5wUoaji{8|$VKTI{DEU#-0t>M%K%4;oR=B82adu#$sT0Hey+hn*^oS51M>Kt8q z4yx9-mCcOs8K;N^c9e7xK?K#@(7fjIUiFH|JwLCHHJEMW7j0-8ae!tPW`tN4#WK~p z-3bzv^SNVMq+@b>T!lUh^psG1_zD;@8fQZ#ntkcU#5sBc_v5YY@{j)XN$l3dn zqZNoKTE#_?<0-mzXa3fMXg8LSR557396!rfm0Ah|hDszE0tq?C@M)Cx>qbt-19{2d z5Kd#H?;kdsx+al&gBqtVx!+RNOMZ7SR_-C!_2P1pK)-kW4>-aDbJ|p49!@{pICsd?(_3Rx zabwkIS2CS%6p_H#CM|Rt82~OW|Gh;SeNIodI%|J%3qmuF3X=qyUn}wJ)66yx_kTaI zq+NhM@8$Ii%kQz$0O(3Q?JD>KX^C3AxR|g$2x)zB5r@o`Nzx4%fmy{jBV(> zMzY;7ooL#bw6*B#mPd|X)ar2Ku>)#HdF=V`3YAL){r^=eyG1AFwgBDfKj6>OnZKl! z=puz9ssqHElkA)vzyrV%0yv24qL-0jKEUue@nVdlfi2s#>H(NABn%<0v!2FXxssxnQaJ3acxUMvWFafuohK z()mf+D{%kj+&6VALkdFcT`OmL=z8_aLHN5_3eNb51w{9#t?TXc|{Xm!8gb&pV9(5uT|QY zoaWgv<9fq*KPX#Mpt+iJE~yoD06<(w_ro(DNDF(EEz+voCsvKPve$Ch;E_kx%Kpsx zWIZ9u=7vEmf=NV$PVR>%lRM-@oMk#>`1oyums`3vbvbF6_u%kPEOi}OT~xwj3-AASe)TQ(PyVM z?t)=gMe$gE7L!&aMv?0me=aT85<5@(waoqh3#1pt6Is@C$dkVe+&qBnpV$|+P8MLw6>Z={g;M&c5Hq2ae-iat0vKn1V2uK%#*ynxj%#1UF88eD_eFvyJ5 zDxI${mP0lko_~_4ss{>vfzmjsjL7XJR^}(mNuryhJ$!12>x*Xb+n{wia^AJDXX%E39BX#w4<4>_mX2dEYSy8Y5fu2ilc5icXwMR>rT1K}5cQISUeX7$g8zXKo8Ap<@j$ z{vh5i`lkqt>HDcG@3Jif5V@)Q8TIEkG-(KsnkRszxn8OD$F<}WGn{tQ^M9C^LR_9D zYEI}bDVXZQvblc5VfqpABgqV-r)=Bd?E;pyddfmXHiNFZ%V z#1e`ODJ>5BmQvHcT=~EvB|^vP5_5|d#gZeThDLWh9!*cKiSf|xxMk3eRxD4DOSN1ReMTa!M85L5&H6P z{XL0#()myj$8D6*WTIUXE6cc1MmcXh_eFk3G|#Hm|JCmIrWJWohI(=Ys|gn^XJ?1a z*aR(^{npto-zvC#66Zz=a)D2w}KQ;_ZFvJZUa@b$?c35ugLN@!|H*HUwJ$sm4 z49M7axF4g*2;xJ>ys=>1n?hfyM?uBz0;a|ruB}jNqQ3~Zw~fb3lGipzb;D3D8=4Dn z!D&iNBOwhyuH-&5CoTwkLQ{vFS<^!Q?uB%S#5w9AhM@fcPjU(DdK-qY+R6pn*xSF= ze~d*j2uI~Lu|QwmGi%NE zvmUw^n#jqQHjRn;L@uo_>-r;IZq+FW`F#SRfvlaU0)g{i?UyE9T+paqM#St=qrPs= z|NR(yi$Fu1a4B_e!&$cYmy__Y~SJlCCLs1@=J?4v4ZqC zm*=5To6-#?ds6QMWRI@FsZv_ujVs^GVJWJQ!<>*hY!%KT5yl0mOv@Sn#(o34ho!V2 z-WM5PrBqGU(y&8o0e5a za0ygBNSBXPu8SAY;philnTs(kd2Lw>seXl3g5XRQUX@j z*o)2{So-g_`37)>`oCYb0zS~Rw6w58F8&(@rhw0QaR*sKm4$2xwMz%JrivsmjgbyHDioK2#k}jGEgS z!a;aR=XFA{GF*DW``JdX0Y_iTThFq^Fhe9x<+c=Ie1nFoq3r9tkNKxjO7t7;+w?d! z!dEy=W)RiCBuvrXnD>h%|IWM`KP-hRi0_4pa*}6MWTt%f{fvst2eDb0K0=UD^(GFe zU=WH&h%%a}$Sk=JRNBsO;Ni5>1DH~0iWb7{~VXSFc>P*uB^a!#U4`mvb3aBX3KW%`@wzyG$v?p0meFHeMq z${e4Ljb)hoH7$mkl9zTtjiGFOb$?pufaFA|VuNaRPbeqc%l6p@8&oaipg>@jZCPrl zxmy97)~r^~nm%sr{aYRG1Kl;QqLbr;a=3@Y7OK8EmuYI(@Hh!8KPExTJ*8gNxVe%-O!N{=EXgxY;n!>q` zghBrRwQgGr=S}{RQVzNGwPs0~Q5e|>#{p%F7L-R-M}QI;ADlczeXbULyTjd`zsU zeSUyZ@8BESYqTk-X6e3id-if!bKu+k!wXWG^~0Ct*}1;ETD_9SO-8{z8>3Mv`5W~i zz(Niu?3zvw#zndEAPQDoIlNNx@#gdLAwDFj<=Wgy8`~M_d1ln)GF5y_0{Jdx8H_kkA!_diyihG0xbn9rPB8*G}Gb zx^?a%E_`u-aqB{)`j9ZW7dZ#z@$Al2!9BBj$C3PD2#v7v#@mq)JW41U&IaASH%LE+ zDp^|5QSCjVQX}C*A~Zj5@l<9!^jmwvu?*xx*0;}K%0S&=G;#OD^+c8-4VOT~`Fhfz zP<|LZw#?Fa89AC;#G$#M31C_%fqpLWf;RMR7KUMN!UX271>Lo|a9$~-_X(?>NVUpy zz-JFY(}AKsq0a*$*?DVtmWC-U@tPXwKyz)-a%rr&ZZizN|Wraz9h-YY9oUC6vhB_{eH zX-MsN|4VUsONx&-+ZiYi<8`qs2||GxiWkWu#4~xjkqMA)Aosr_muG6cjDE&N|1f1` z`ATIYW*<&i*fDAFTbnU;I*PS^vL;8tc8CcfM$aGvCdg!vlc#-3Q?F5AOPe~`M-W&w zK)O`|pHKqrU!P*|wba%}4t)XKJWgXxFSnbohF$yVTVu9_M!pbS@Dk++2E*b>hK5>) z=xd&&M(|d*dZyR8VvbPMqQ01pu#D%E>&55^`?qgqzrhUI&7G^z;dL()c(RB-}GM_Bl8p|PxaL4*84TC>T;}glKLUDG)s1`>4Sc9FUIf+6=!S@}Cp$)60};1&3NJzCo^x`42#BeI*L)= z2begtydZ)=WBd%HU+2Tap}0R;h*`&X76!XabR|+FJ-PSU<`TUzrTP0TqVFAJpq*fg z&0ATe-HU8iY&-?@5E5>?^uoE>|9L(o{(HNq<;t2S{=9+lF{_Wetd60zmrBL6Lc`bG zP}%HuR(>zJd^MD!3A>jd13w{VCx6EI%o2c-t)D&(`Qmqs1KQHQ29HZf$|&Y`m-^r% zRgr#*%n;%p!Wzkla4m(_&ht+pd2@V?wI}H%F9T3yNcJH7Nj8aj5%^~Wj>5y(*k#H6 zK_qvKXbxWc#ufMiCoIk8YI3~`NKvY0io%>uLt0%qDW1^5 zLkf9Zmz#IsLs7bDj8azxs5`~!i!pJ5Z?AB`|L-#dYgm0;2N!A~cXcyb!6`WLX?0hs|y_WhCndgzx;xwHtTJ5c|0K(<6hyC;-phc0jW+NLg4DTsSqH`i0)4S@=Pd`QinZDX!LK) z9OfO*-wqndI;*H+HI-PRW)-6s`jV@am;jHQ({@H$`QOWC>GQuEn&*068gFGR+tm1| z4Z{$q)`(6&(qVAu!`(uVu&nA@L*;3@ro=iS`p>xq!~XEl@Ae?mt?(%nWMA|$Z;p>k zaT>0j{qWJ+Ch9~;F$&nR(qYKmkh5_2lALkOMSwbOW1s=lEa5%#S=PHkeW#qZw?ekzv20rh%qKL?E9Rs#z{+gsk`KwK` zZleOAXpO(Vdd&dz-*08A2#VI;?M2Gy^GD7K!6hAWu-~`89`KqCh7d+1(nvhCDz7yU zG*3eh2#Pmh6%=^vW3y>zG5dreFuBLS?VB6_%}}N#d$&RI07I$>$VFhjA;v zJoSFA{yRT!X#IC9^eI(-gaUC~PH^&>_j#6gGlkI^m;CQ-wb$K?`95LhF_YDc8BL&q!ii%G{q0dmy1G9h^H>f&LjBqC4!LFOQhhF#Iazyn7|i{bzmo8uo2Ka3zQjw; zZrwjq`R^@Gc1S?KP#q6lyK-O!o7f)HCKLzry-C+g?NV!lrj-xg=4qF5v0w*YCt|Yu zA&XfVcJe-2=lF_+v~kb4*p3wOZ)Tsd=KrP`co6H*f)Kh3oT6=pNbe_AvTyTU zYa6f-IahLBoWTd-s2B&WH3?Om4=MaxxqGuhlHA4QzQH(R{>W)4&Vk8$b{MH4+2Q0z z6GB|qdRO`m(7k{xk~UDvO;l-Ep3DcnQPLceHZB{aflTe>&ZB&JbM|ahP+r-F7)^Yg z`QGySC4^L?DA|ZraR{8f;vgG+3{yWagjYG*tFWoq?iyjjh_AyY0L=E^DYE<*nvjxn z(o2|1ewFNc{=#h|swZjd9*EavD+TnGPJEIYE>%kgu^@>%k>!iWOq6p_63yrXZgK!2 zNSDuqmAB+fwb& zf{0nT2k>xF7FkQbs(kfs)k}$L7g+eg6oLy<*=i6UY-(u=M0cZvrG0+|Nc%R;uXUkK`$4U&TXdafttn%Y|k&dqi{_^=U zPNt6(Ux!_VDRKMf-{+qcegX<+{yHP~9(hX4BFLgD8#|25T2JK0=3on`G=lo+#)Q0e z0L)5FSY9!lvht_UgILE&c9YgG{QE4cK0W3<7p=WyI}=iO1LWLp6y;} z3MtmTevFkU&aSrhj4SBV`pR(HKK@s?gIt&mP;oh-Qcj?<&mXJUQ+@XE+b};tTW(z8 zUg5HN$s|(-W7oEBzGETX7uE^2{OD5Gq1tdpdQV)>S24gup-|HjAtUI(Nn*?6a8K2x zE4i&u5K*dP`0RSlh3>hu@vNJNy`8(7<$S-vSiGJM1>!4B&A?{^c73w6pe4xQ7sKN~ zE6ms%?0JmgPTN=8ZvCwKo%xd*U7U_>d+MYJ7k5XMz`?Es=%OM&^j~29Q3E-8=q~b> zK~B)+tts4ppZapZZ{{JsJ=YK@TYzI)g@Kv36s5#A6gx|`E~WBQ`DdSQNz}=VPJ&Fq zq4v!|_G~)X&g*vK9(7NbgNuu*^sndV@cl5qi8AS#zmhPPF_x5)+?M5NI@W6DI-=4_ z6d&l~=bm#*WZvtqvWAgy_0W8vZan-Lx+pc^k;Fl0w_|^35g}gnp!MDP{j1Q%=EQXl z9%s*Xe|Vb_H1M&00{aB-h@YMcKCK>w5>Ri!*x{in96=NGF`-~hHG(+kCCEM0!f`}B z0*4@6A0m%M{E3geMMIATv(7$)> zL-tIxyt?%rIPrB-EO}y~M2-3k*99RSP=BvG%FWV+LYq-T??Il1;O5rLyXf*(7&=%Z zVj&34!+Rm{tOEb(1TX|idr3T+D-%5K#<01mk&hL}TkAu>(!&Ne9BhMf+M{E#6)Hc% z!%!eTTHxFcFFb+!Pw=VA^s6od);w)E3fwkkHcUdbk6eGdk=3}4$~Cvk3YyeKbud8a z{D@0lI6FJ@e&E6`Ph4?TWX4?~8JabALJ7PN9G-a^~2q zyTScXUF{mxgtQ~huJ+9ojhVU0JCAN>ck_>CX=mw^yY{Ibbr#|y+y%sYXU3ZlpVdA& zP0OC!C1<3hhQ5qx{I!-gga*>TXxRW`0%%5@g{1D0M(g7Kj5`W^j13hM+@uZ>Q>|uP zgKeu?fg#)0J`l%3uA3b>Ne~}e&br7a<`*-*e`(L?kH8KVdqeKOVv=;U!~YyVQ#L;r zOU8ttbHFHoq$K52KY77K$wp8j1$))5(r8~xzhp#+k}cK6+9fa&wS>hY@%oGt{4U0WNi4x)rR%gIQr?clOD==!T%*_SV z^r-v<=z5?B7y5p(pL|b&n3Pb_2;b4=JRSO3J2@TG%p7M%zY!>AGZzi*Zy!%F2J%7e zl0#2H(cKW0aM@1QJr#Koq1hK1XhpZAnf5+?Hk6LzxrJJh~@Yu&%l z&^j}lD94ExHrScJO;Eb4-8L`Eaq;OR=n;})#GBI*f0C~%D@jfZvyrJmGK{62S)}`P z{PMz0IXnZwJanQ&E@K_ZjRxKGqs(y=_S7ywFnb6N!-aQdgJEKNP0ad4yfr(g2tbX9 zBL^-lupUH6_BdT_ds`wHmxii2{6SB_CE^1?+jKl?9ZY39L{U6 zI%^(5x7}rhV2TCQIxC5C_ww0Bf*0|bCI4%4oYJJ!8{U(Z`NvYyLI1qvQk#HF>9|=K zMpW9wwwUiV6Q+KSdm5S85WAm?&o$l-UC)yjy{H9(Plx2{GyA?w1S7_LgKdafB$lJW-s0LxzUPM4N!Rj!T}}+&bfLnN&ay zy~hK)IY+_EAhhXepgBEb+LJ>%@^YCAA%$*!UR5Fvu0_Q1YHzJsy{?in{Chv zrE>*w*3$fA7JgH6SU?ZDz{Tr0^T*{}#dmq$?gJ>I%G#d9Ooj)w%!y{>^j}pqn~i#n zcB3Ya_cYE-X_JiGqGOL_W`cQ*5}?pEw}Dc88{d3b8)_Ify4J;Ww|PZnv{W&l_#Zx6 zuHi?_co`r+n$$niArH|FNzR!HYASigysM#JI5|enjE)u!1dnzSveSZfc?a6pr;Lrk z;?!JC>S*mFF9clKC8;SHNyqB2f;1reca3vlQ~tc>RC1Ouul->W(;bQt{8o%S56X(L z_%?#>fVZ|UjSe?_I$4s$#gG!y!{@V#s#Or&4C}K%9#p&fQeSj(Wk6zqlgbzca?SN@vA@sw^j36ceRuOUN>F4!0VXf0sFK5zUbB0DYTBSb8C-YJE!whYFKr7ADNRF)OkAz4+D6=OV|ntP4q` zmZ4+zGzX}03{5SXWFz%L=P+TEH1J+7UC$CfZIDtk@P;O7L-Y?gjMJo^)TK@j)WY5t zEnAf_%c?u$2_qDH;dkgB{~lI zeOz(m37wx?9bN$scP#=bVvSxnMwd17MAut{DTBsDkF?Q+eSfom4r&Fy3KB=?vTXe& zko_WaJ{Bkzqc>{SzLk)k$yt)&NzlJ()EU7#&T9qdW-De2!=+`JXZrfpNjYKooJDNR z;A7aJ4S%A|D0Y`DD}^U(+UQ?j4xF|eGXt{>t}kuVW-gDqeAm-({_N~T#`BG>ks422 zOk0j=UA7Mw+l6%7imY|7KeWeo3jJunAExkUdN%RIzb)aOJL?cFnl8)+q%DV7tc{ga zYdC)&4gNg>AG{)|IOl{(q}ivb=OoPzg#v)gM!t=Pfu>ch4p>4@BH);?UM<>nM{sRW zfGIy8ab%u_r*j`Z+bTFWg@9Qvx%AKuyd4ROmuOZL;-r4SODM8cEXz57JmsTLXs6ka zkNK^By~c~C|Hx=)q_9nL&M`g1rELp|Sh4|QGeEqqJ)I_a5o9|67j92?OjdrMA571q zoP~||O`~Sxwc_aQ6kPw-_D~|nrRC*WMR5j)eKZQApFLx5K={}_O99^Fm*L$S!4|i? zCA0h0rG2d~;!}He3%Cx~eKr=Cue}gwXcej)m&BOeZ+(4zK$sKUm}Em8c5fzT#Q@`S zSGG5L7!kl)8s?OxrfT=&kh%)~Z=y>8n?zW|mZb~lJg3Jpf>A8=v5Jfmqg6SbDLt6k#@VhfPm`HpoaHlPE!O508tayPhw zY+1M;FS5tqp8loei)Hf}iP0SUKbJk=n#E4Y$2ne2i#2n6-!5>kohoXV-rOkjWr;j> z{6Qg-0Ck#10UWAb!TTE4g!dTr3zXIj#(l5IEyfmxE0;|hw)J^51h}86^637Bi=xxLu|u6Jg@2t4QpRh%g&SSE zO?GcgP{LtXQo;v#P5>Hx)$;wlODmO#Wn1X9+XebnY4vCvapR-hMdecS&+k4gS0~oZ zvcuzdulFZd)^^?cW&1JPReBIZj<~4ryA4(`ht(--<{E+bq-T@*d{xVV%|V8CN=-`2Xueim+7wbZ(cY&G7G~-Q#TF zoXD`>9%!wBY%ya+FRoL=DidyY)Zi7bDZPO_rx2Gr$Xy0?L$MFH(UkZ)8j_toWQU_Z z8#S`?^GPPbW$&K|#$^w1EVIN){|;S)c{g#Cn$zNnD(09FRYfb2nNEM9W+pM!H6iD+ z*4VeXj8BT1*c-BB$mof{zKw%9@bDE;cCq8Tkfm^9!1YW0@pF`?hyoD@Eb!VW11&u1 zS&i9xO(&jBkx3jhnjty4UX=J_SV z?_JU(%R`4~pX;Ofp9DzN=04q-7yHD+3*`vU0xK?MpBBOY=)!1pLR9~|IYWj>=y2EV zM4By$aWY<(`75%T)nv0(lS>wU>1Mi=V3H6Ti$DH7{+?*n+L`Obs@&sV-rgCo7RcqV z=cnrTzn|v1@t(&kKIS_8PUa!MN^x>m0JeoXgrz->+W0_)t=R)Jx3T>00?mMHMQi@? zJWU^z2qyx`8Dy^KUJ+MTm?YZfnB{!z6$%j~Z848z5gP;R2ub==(A_>}^tiZ4;$;g> z=Fs$QgeQxblTDfgxEp3(g2;;GoC44y?x)>SWl$wE?3%W43ao;Mj+4#7E5?m?o=VRE^>t@(ol82DN-*SHR}ORp^;Znh=s zM=YJQnxx!g{v<#4>8Y^5sPFgZV?}h*mHN z^!D?{Ac8NNHB*@NvKBN|p}UD5xnL|t?9u7%#jpobn6*ZNpQIIQ8bt*ph?WM#aFxNt z+wDwqtu7-1YjxciCh69fGQQn5UZ8ztT5ZuZ(U?ggbD3Gc&UVUVrm}W14^nc$uag*| ztDmEYBS+|LNWvm(GiOH|^AzU%VApq;#7f{HpsNc}D0I~Kft9y-;#O;}!`-~XLJOJ0 zw)ooH)de*Dkasw3#S%!b>uc7oW=)T9HnG%h^~os3lNBbnpb;DsBEOe*V=Yp|aZK#F z-RAx$g}??#h{-7@b`eJHd(m>FIN@%|n-QhLGZ!3=3^~_rB%Jyjlii92Y9rj%3m|`a z;^`vag%4`A_h3zhuw6q2?R;m&i(z27o+czFu3fztHlCNFI%f)(-h84W^M6~+6F=1G zeM_mB0W!C?ExJreW0$DCG2oSwdq7Q~zdp((IVn zn?q~mxw}iR{@NWuDYbs{Ay{_dsD~_v4huV^B&~>QM>!^}Yp!ZIO)1OUm`LTZ`z_>f zH?XFFh5yZVQp*sW`kkNXf4&NRh4z`K+JROp3$N|7O~hy zZG$O;a8VrPCZlWmA}>1WWK{4N)sBe}?Fx}(+N_=NPE25it5F5+1d%#PNuZ8F`1&Q` z*0W2$R-s?GF0h9Bdjx(g_jOAITIU}hEN%#W(nMODfG0yP>eA%3qetHX;7v;1D>eNO zCFyx=$4WCKy_eEgoJ5?tHK{Cicye?IONkj!8i#ieSA#tXr{m3|ONF|sS^Sg6BEM|q zr!p7<#B3C9Gs=NKXV$u+Xki}$frDlc6`-TL0?673G%jKB4kj0=`A+Y4`d`!JdKjQT#;u%Ya|KlYYoWvUt$&5^0ne5oCPkaJj_Re!)8iz> zmU`{_Hh@_E=R3whq*hLp3-SC>z+amy%yI!Xup^OwKm$S6Q5WOxB4(Iy9t`%5h9L&J z3bxXy3iiKHA7)`6Pr{ts+{|sob0;Iou?Sz*N^)=o=Kh>o{Q+u*7@2g9_<3BE^l|$J zGgg5%-vHQ`>~()+bqlKm)$#~=4eunWLw4m+bbODn`-g3Vd29rFXLz^+4n%%2Xh{OH z@=emS$|&WN@CdP53|z1^UYv9*`Fzh~nss~9PiHrkMj}TfEQ`?SxsUe0hjT7iS9Gd4 z+23pO$9Wo`Ca15p69jmIvtkq!BT2`g;;)yq;k?B^2v%t=!mAURpPK|li<+{KN>{{t zWd5bv+w&j89yTegVn-bsS@>fReyw-(qVmz{2JVj7f<^ZEQVZHr3U~Wd%=A-$E|OJN zQLEo=%=&V^OwWZB0OOSgXii(!;Sbo8edD9;UupxqqL;qQ2lrgSf_2`)G72dsZ~O|l zVr(6bgXUgXFMf%|Dnd=mz>dS@K~E6CrH;k9)u~?R+&HH2b5~<$+4cik2F6ymSKMi} zpm%}$twA+k@9VS!Kxc<6o)eK$nb&@QzdMq{h+^D|pCjR<<(|dR(DvyGMgdRQmYw!^ z9|_l3Aw7fPG=CZV^~kfA8?~VQ-~jK=om1-?4U?21BeKJ;zMT-vL-5t{JXIt#N`phQ_URN!T#2bDAC`tM&4l&4s5~Bp@7f z99@j>86vZx#8Hw&eypTjgsyBYa-{dNzIR{L3Z#FH7b}{BG^|Bu+PPKY!@lsOzd5Lo z)b#5E(zrvOYQxOWL&)(;qZ5iuP~Z zS`YK-SgrE>$(0S$M+MT(3hKrEO7MMXbx@|er&xbp`p@ZFy#(zvkJv++^Z7Ul@{o4` zu%1l~Qc$N#&Ty~Eq1dJ{lHF%eWvS+|M5YToyHHX5Bh$_HTUp#l&dD{SJR0)u|2R6! zhA5jpiqqX4OSg1)N=Yf*-Q6kO-5@Cqg0g_HunQ>N9n#$`At4|<*Zq8feKR}P%$)x@ zzk^i11;!vLp9c&4X>&h+N9WPnJ>H#cM|RsE7(D47<~bCgV`1=P+YFcuXJ^I`c(sbj zi!^o8FC_oKDQ(AOIZ@<1d`<(JoawLi!*2D-_{d-rVmlYL1L@>tfscP`>!gAoc(nic zFm*@`3d|fM)Zhx#C}~G}vbp1ocgEcW*M&EA&u)qQ8>b8KR5*^HOC=KOFLd3yI)54q zFZQ(IiFI9pab9foh1uqL zq%xRdHsis8fdi+OaNMpStwut%Zuwu!8}8RVuX3m8pCVkPoTvm`B_kd4C)#rs_)nAy z!kHq1kA6BDVxq@uFx-|^ z9sl7cRt%_~084S8?{?r;->JK3FaO}KI$!~P1XuJhDJe-uyipXRdrWVG^#AVw8RVtY z3U@o`J2rXz2aIv$-y${XL0ep#vLcrzB`AY@c5xroj<`UkncYPN<5Lj+I|>1+k{SXR z*~EJygu6p8TIf_79^7)VXb~Rj4n=*-vWuOD_?eR&Nlf*5S2;It-|x_Sas0pkmE>v& z@M4nYE0}CAV_^aB9;JqW+lhZE=3A_Q zF)Qf6W|GRVo`GPKxzR0EzRRSoGgMir&~H^vsdrIYh&Arh;*dF+#h4fZZl>U}*cR$$ zq@-_z(?fW=edEp(gq58?&0;>dE}zSQxVRMxU0 zxZc@mYAms9o%7(o5D>pFAf#9SY4;P5wvJl>#Ine zTOa^m=j68uWID342s;YGYx(blb9&#Xs{bMPeLlNjL=i}+o!-ZS2`$NE`Xl`b33pJ` z3;GzoI!+n%ZRIN3epTopjxbihrC0&WfH8Dvece3jz}p-CntzT}C~^gnk@0L8@luz| z7K8#>PUmf_Rfklb2y7-zIhx#_C-rQi^Ez*_MadlWl2V(Ck@t+w1r8o5V%T)bLX)Vz1XVc8#%4+E}F zd%QPyJfUlGGH9>9iRu{Cy*Qj2eVTm2a6tZ+E|%N6kaFh4enbhyf2J=o($yMp0O4-=53cQzxJ~COT_uVT%CYP6j}Aa>Kt& z9OXneNV23}ZpmO+~E>T-}>GJMZyN>YZUG zFF<9E?ys)LuU#i&grfO)UgLNz%&+G5ZLzPsiCxMKJ( z7Rd^updsZbEJQC$&CZxyxPpoO4jw2Ne2)$cS~!6|HCSpI{Nn(DG&iLkkHkP=DEoQl z;;qW0Zm@t(&u2Q6(%}HVKbYtCiCISu8F;V^YA+5!@|3n9-ded(?_+0Rss>!)Q(0f! zt~x5ZXLoc(U8vv=zl|Fl%KJ!_6mCHbIM#IIJ@E`sWqy#j&wq~l1=q&E>e5+dVrmMD zXXUNwbj=i?eG4a`OjjZVeYq|dK`IUWXm9n-3 z!#_mL&4oU(rYG%0bR#D78EtazVklu~yAL%&Ne08c6Pl))-X4xSuwduRo>sF4L%*B3qax#kZyU9KCYsM4n?V2Cv$@4R4Pt}QH z_z;hb<;-kG+H*tnzatASV7TH_UWK~ED(!NI??6%72&m3mHRHGz58W>E%YZwsblLIs zpdOb>YegNHwH7@@X(+aG|M|TAfUL%t-;LPNvGvkrl}Klm zhHPr-VUfajr#F88IKI!ZCod>_?!RZNRayL- zNL*Dj29MQ%8z6xPkL$vH){NRLLT`h!Wjo-|hSwzY7h-;Dz3_|3c@51DK_AU;n?K>j zV%4E6i#oe?J|J!a&UKK&T?@tSeYPFFSKc4q*os9j@V=cJ*(wA7a$!^18%Ws-o#-4k zigMGHf@T-q z;G$L3VMB`_N&E(qMvhnCUM>pA7wWh8&!n@Hga5s>QpQevH|el%S%OUmf*Pw!n{8`I zn#nN7_>BZz;XK@a6x|Ayndv#Doo#uPXDt6^s@tY$yFWG!?e!5A4^K{ZF0w-WwG-#4 zQtQxEYO`0Bn&NQ-ZVjy^Z)J9ocSZ%K5fQO|{O(-9AcaRK<3U>V_mQVEhAW}?7`aH7 zmUTCvoO5PIvp>)IojGE_hs);E_M#qf{}HW*a{#vGBOom%Cf7q!K+D9^(WXmf&6Tli$x(yL5+~D)>2KkoZF489-yJHZahDov5l|<8#k;suE$JQoVY#8A zm2NqodX1mk#&KIO%4WR$O%}vtPr7DX{0*nPpFtvD__tiv6E6J-X5SuDrvOge z526=D{?VTFoSD5+(gckYd3&;!p&8CO$t)~kz4@lT7F_rxMbe8-c@Yb4M{?TiS+B$> z$a2!Eug_(fM;!flhQEAvsQ8-m&2@ohTM9OXK1+6~TwH(oC=7eiCjmmW$r%TMe6>O3 z?A~yvQv(krr3hG;@^&#v+tt8d_2}*ilm$=B70aHm(mOcBZghIEm-&uBvvW9p3Y;Hm zvLlxm9La!Pv*lP4rCw!GNeQ5|=8bG>nzDz%Ospt@E(H-&BX@G)&Q-v-8@?R7fBvE} zF=hk$j-!;f7jFc zfBhxsdUwp3_5ON`uaD-hW46|*lVKI_@h_PN1O|q9spO!pd?NP+6`R6LpfdMfXJw5x z_?Fy!dK_yzGX$a3kTwqIraKs(R#DF~a}3Y2@aXs|t+emH1l%z47+|<C?o#Hk5>o zT^Ot3UV1S%CJWOUbA&1;yop20d`8#9SRKd@+G=O|b}{b_LGzEE378uhN8+&>)P*l# zlf5|9+c&cDUsq~nz43$+$BEVAPd4xco_njT?R(3Q#}sI;(0j1Q;GYTs=HFzvB4<5s z=F2s=R5|_5@CRbdHF_&EuH+lFpx?k0+^R|0r!s=Qm)S$bv3Yq5MB)9`<^WUi8$6Uo zaTLR=g2S@Boll`Z*d0W~5rG2`HA?Nd z@RO%a-0(`rqU24%y0X1Xm)`59h(Pr=H2F1l<8|XPtdXDr3oqK)g~0vF$N05OM9D z`Dez7fw2UGJdTL%9>EPZ;t2%PUBfjOJ8MhKWtlarEG*j8aIZ-D3T|LvZQzqtVBo1l zYqmB_&_e}}>EK5$mq1B`ow(ec?csvy%bP+>uMYNO5y#l>V)#TyixdYxEl1M1_9rz) z6`xmI#g6WPZtL!{jU#8!44Mc6Kemrp2~(4$1ZWIYnaPj0^~)JL{16R4?(YD(F?;*w zjcd&GntRxrg~TSZQY$a-UnCCcfIPhu-a!^Se0vZ=O5y0DQmmt! ziVcLox+rWSXJ$zlZj7Is4)YvQ8M3}+LVCV&m)5jWPP+iNbJcX3)NfPAD1N++j>r|7 znRxhL8pwey_*>`pKLvT2H0AZGI0;2h+~pOl=7I1c|Bg$RK1*M!+#@(R*=Iw+Hq3{` zek=dfHc9ZttGYQvJ48ke2I>B{(`4aps;6go_I?MWpPM$#=S>|?nrb~zxqTfuQBgq4No2I(D5tNCE9YW zHnT?D!{>oKzZxK+ntYU6!mgs+ImjF2;+J{~=kK39X#ATM`8%smdgVBe$e{p8N_=gc zCc&;QXO~X`O_^G-i!Xsl$5s(UfGSdxf`1>E$^JKn^>Ekvg{5uj*eD9(UwK=Zw7m2CwrKufAG-6(vE_ANtOWsrXDh_WjwFhDvW`G`zo? zp5qV+T>gg}0v4I(J}!$^`z})RluJ`oli0%iMt@IEwlw&_Dgz!q4kt^w&AK67#T)iH zQyAXBZ*N7DmL5b_*z6N$zo=y609JQnsczpDNySN1WUw!Qw+qlM4>ZwvvvGL)66&G1*HxDU`w5!(tCYzSs6FO#yE>l}wYBfa@ zeK{a1)#G(2?) zo^_jXj|jjp*=Pw2FR^eP%&juc2BJT1VB~4oS6hG6WB>IJJOI&Ewxk1QMRGBT|2JR7 z$HO9Cre6O_2g*O9RWS_VqlXYpG`-c|+U{0QoP5)8hzY%;5F5YxBpg zm2*Z_)#v_1j?5g+zg9YNAm4+TuIVaW_(F`B=@5NTj`-OSj3DS27=6)}m^@gvNZhLc z-_&U4X-{62k5dQp+G2Pkpry4V*6kg2OzBVfT@WW|pWxn3tk~!qnG$8yLyscLgq&Hl z2ys>FALQ4UbH5}ior`SAJZ%hp3faVu3CCH_34*@?xXr1kOShzgW2a((f5s{aDKc(c z`USQQCg;+=m*d^<;V6#xZ-yku`b6p$GrscZQ^mb^9*KBDhy$ITHQP@m!?inF<1JEY zE&V2K2xu}t&GuB?+I85kL3NW9zdm^=-$jxmS~%_*uVUnh`kB}$58KEi-0$$+301Tw zxKK8^17@p1g$knE-5HFuB+P+qAO8&|ZAs-ep>q?bI6ZZvu2MlVYZ1z z+?U^k0p{%I)QyU0Y`aA+?OqsY(a3e=UT&;ev}qUAETmljcL_0- zRLqCG@s+?nK8wyOwk@3OwTO^8*hJ7GZ2Oh)G*Oz0c|Bl63C&*|&Yc`*@i`B{sg%!1 z=z$h?;59=mj&SvDpNgHUE)DbgZC1Rv8^(csxNf$wrFWi+ofm}Yx?OfeMfl{Mf$AD& zea^?WPMD?Kx2iPLeC(06&@%!OeBhkqnUWW?!WN>O&0=}4a|;w~Nm;bqV@Lfekp#g3 zlg=MzHbCZKS+Ep32td^O z$@H%l4dx^xvP!&hDbq^Cs`U2khuX|jQ5K;YF2Q#`eLaXNT`HN9(yB{j+cP?uU9cqs zFLTWNUQBg4q9dyZW%ba)66X-jAL-FUp@I&uKJ-{P(RCgFmYBnCxC1)G%Ngz`=jxzf zoa!j7OKl~3hMv(lvhJ8xl6bT~ia=mQzhsFXa6>wZQ+qHr!-c9T3@*ncuu@;|o~nTXTQ zEOy?q^3_S-PFg2+)fL#e2s&QY0gkd~ykTLhCWQ+F%gXqu_1;!t+V7e;Uga0!&#mvo zS+jmhj#<|f&>}Q;{ZVEPTcWzkapm>*!73QwMjU$uqI`Mr7T*ux$OSFRxu2A4(;se* zk84F8l|`{#w76+ZPAT=`s@{U}5^03A-HZwiKH#OKd{=*op2XFD#gFh=n&rjFL>1DgTQMEB^5A&O22 z7f!O>CGZH8_eE9Jxke=dTN~*0L=uI_bY{HONH|qmQ)*Fw6A;sFF2~`Yg`bA^u9V6T z`ZYW#n`_v64GoSr8S^(~=z5Nmze6NHrc3yJOAmwg zTs2i(DJo7o7mt4G16LBE2wWa$f|yCny#K%UyADO_*@iTnyiH|X_RLd{;o}hZKqT=* zJy}w{Gj&`o26J6buM!5d1Ct03V-z*T#>a6&?v)o=jP$Glhfi~LshslW0fzgz@yRDG z2DSO2etU~wWm%K&lqKG(SU($#Xs{nq@^$(;v)ElcjZE0_t#V8>g&Q!F?n86>YQDx? z?uz+n)V9P;V2?LIxGV97_;zf!o|MZ>KvOF23@4HEt> zRP(>i9j(3S(@gErP0{FrI97wDx}eZu(ZY`Gz8n${w1kg!7lb~efqpP#fW#}=!Ad&d zgl=p@xpFaSF+{ay)g~u`#8Qz;S$zwSqA$lK>}AnPNku58bDU0ldxxKRU#2cPyfC|Dg_IX zZPnGDIgIQD9kC-DXz2xv_@b$ZOw$wP%t^inVMB>1dCQlp@JAF8X@1CJI6kx@TBlNr zq02|jk#EVg2;;sXLW_oJD%Rg|%8)G;33NG;JjVDS4$bqjH!AZN5462QbDh>qK4|v? zt^69G+QWqzbjILy`!FXyi6Sv&ZQZ7xfC6>AT>Uvc<;7DoqU5} z7a4^sc1R*xB6WTCMiB3Mf=3fzMwEuGv5mAM`D%bi-FuQ*R~*#7`puxO53hqgH1Jwv zJCjg!J$obGK%b3zr)Xve$L7ftCtrgbVn4@}{N6Ah4MnnWVj7=)^ce0SzE>HpZv8B! zI44vx;qr(DstOtm?eLQ1_@<$u`Yzc&#I3zBMxdxwr6eGpMB zW(C7<&44&l!k;GhfoqE*q>c=uHwygmM96UaqYKSBe`je}(5BHp9@l=EInQJsU8{^ftkdHgo-1nD)jG^0@Oydv-` zg!7CTE4>~4VHFo6-&0+wr)|2ebyMKHc)%G4jLS%5!Be;GKBTo`TCSX(%YXDQDRJ6{ zBx3hJGXLS(@(iVOi=bHdliib{7Z>+OYIW+rP{t$YEIyW^4zT2(daJ32Zyc1IXT`MZ z5ks^iUO2%qOwsBL+g0=S_Vmc6C(94p1`2_y>i%CnTf_%@>M3DKa+oZ3+PUiT|NR;H zji0i{`A3wXvNR4w3V*czXHVRJmqPtmFj4D^EwKRhwP8BxtZ+(iC(ee|J}=n#09AZS z2bsCZ>lPuuun1>rzNEchR{w-$oBD4Dg)_`hFZAG8mEp|wj6$X^if+av&r|`?_PT+I zEya~@r#dA%M9sdC`!M-b-z@by9P4ixiv25xlP?H5JbgQDYe{Os6U(vZpqlfZf{3W^^?Iz>KN7;cp??Oh)mt8a@q@)g_>bc(15cmEOLJYoPhF>7u@wi+$yxQr{ zE13(NK=3_yS5^0crxEL%y01-6-<{<@lK=v!$q$s8udW~b(rAS*0Z(ALNkuYl`oPVP z_(5w&*L3pZK=@x0|A+)g`acVczn5l|t1tOAiW+$AwyhL_c^~rdi-=oi18Uw6Q_%Ug zkh>we-}1rwHOh0`%cy}iwEwD_YNY?6#~dm~Z*d@8GiG4JLf~Z9*0vmX9c(|s9j*S< zPpuYDb$}Cf&x6O(x1qUq#9nOp*=zmi!P!P45dYyBgB&#FEJcF=yyZf4m0%y@{SOF4 zEg(kwUeg{;274=i<81lBOouMptFj&(H6yxYAxiMkIF}*_zmQ2O%n%GaBm^hRy0v%Iv_^+N?H{=+kf- zrN{f2#wEF=ykB+{K+LM=KPTtA-6}zh8b0qiv3}mlDSVy?g_$J{`*oOdkYtVYrxKJg zi4-QmPAHZo&`V`U{ii(rn&jO6p!(;o!b@BKu|vx4D_;sp{?9B$?;)@m8Ek9yv6PFoBj4p5?X<@Ry6rw$DuRUNKMHXiInBUMNw z1LQ>lvoO`f!^m)4k&ei)l^Zp>-FVhw)GWP(x+62woZM_ z&TvEgMu-17?pRrL0F2nEnZW=bcON4%Re=NY}L7&fU=8whn=6jLndm3W_MTvHbcfavN*x0it4nIQ@<5soSG5Zc4w z*Oz~!+-CjHI4JQDB&Q{{1PhKKHSX#kOV#~WP2rWjxdc+Ry-Q>$;?s8hpAc;uSB39- z6rz7)#P)Q#cgi_BggxOgcwmC0y6a&}#h5AdcmzasZ-im%>t8XpjIs@|)}Ojs%>1*?4s zH_@=68*mNp$G7PhW4sKGXMz$PAU8Q*u-lsSA(kF0gTHFEbXS3S)55>?yMh)I8gP{g8RXCT=9+VtY zHhdAOs1an)OfORzmE&Ju^#P%z9Q&dnGwKw8$NWY?!z~3%z=J|jo|kumTvV0_^s4%B zcaf5b59z%)w>^H#2zz{n8oCpSnqcNb$?>CXY^9YdW&$L*dY}sO4;qxQcA%IvG$5H| zjEYAe*mH?BIS}6SF-HCKA(q7C9(N1D&P@AoZeD}92S*CPevDB@2^%xb`hHMM3HRy1 zAUpH>j0<(e@HV-5PyQQfOvI8&AHF3r^f4zCJ3gQy1b{<)L01a;kK+iWHH!;!t*B@^$%FNso>6?=&6ZA=~WR7LHl-)E@@CVNc= z8{A!A6I{^OIaL!TJxZ5Mk>}^RJ778cXfVlSK^a^Q_#fNg;Njrj$;;}5KuJJzp6h$4 zIyUOxt?lT)n{Z8py>qx(__nKI?pjWPm=X1b)5i`DBD~Dnt&Vtzzjzj^CLt|-cqanK z0*U+OWIKo^o(_lQ(R$G2cmyYL1Isn&P@ON=Tw;?NAMugNOL>p@|79^!>dMG{5~;DU z4=0s|W+RP>c{8&|Geo2D$_+__k`&sVJB!J?*@t3xS->%11`VxaxxMeqS2=nHV$AQx zdDhxgSm@7+$c4wLx3by|I8xKnM1vBdsh(4NF%3RsE2UBA<5>7ioJr!)nJ%U%rm*hf zQcHOJlu7+!$QX)00uk0E!e84oAnI1ry1##IkD2qF)Q@4HIfW(G;AcK$DkiZY+fq3jf zLUdilKH@!s!j4h9*IT)j7`TO^`)kQ)Rr?-Yub5Be+c#xsrK+P=hj_?~sV@A573EFh z7d0QZtVEk&7a$y%$AMt#mhz=a9K1o|akMHN-^68?2^WC4P@vS-%_7qEg_#&Bv-`2` z?-MGqe4?Ve6X-jTDWU_Df}>WnO6c1;zWBU397_o;@ZEg5?ziiaG=ok?l|v#V7Tmg% z1;1Nhwcpq{Uu-Pps&YgmoqUYhPiwWEg>PNuq&{=iUn?|3l?f-riDZ=gh@T1(tof4u z^RbL;{~zst2b$RMZ8Z#OqguhKZ5h`oX0=Q9UGeAc{X;8f_!|HD6a||hMriGGQL}DY zU1`~@Z|Izf69rKq|Mx2m1q4_-a#%fC5pE8ewujHg063V~s(>=B&wPoUD%@ z$tqd7B=58iu}%}829jyy0{P;s@(8DN|GPbPVs9K7xQYKo6IDq{%}Y;-75#1v5nxhS zR2F_q`}s{R;hK=Pe&y0Fvro>JF$*%v6EC|+v;6TSy! z#5-JWo<rMI#Y~$X>>!-?RWo9eP!ebR2e)>obM600eE|@@@9xTR9 zw9LoqR{Tqt1rDy`eOm`->81le46kkGHw)C766_am^6^vrq7V`XX1?2i%K`dEU zc5|0sMmpI0@+J?eaV{yW`XLrSc=W5r##Gs``tHcbb6x%=awHzUFIk&j44oVd*liCe zjOkLqOZJbzLv>HG?|+FLD<@SSQFIz_7RYCHN*Ph}G+%A9VJolOZe_=Jp1~8` zf^aR1$9JApD#qUzXRI2xA%@su1!YIbU+^aCD!b(Qk4ivr=Faiupf4v0=3Njm z!9Ua0Ef06L>VYeRqR*du@oD5o?0Nydo#1aEaSSs@Pq@AI>Yi0>o!Z{w?mPUonuf-g zf6o8zRc%ci!!Rp}>+5Y`_-)XH8tEy?mFtIMB=Cotv-4>JG}|(j+OHE4O(3N%5O*AX zYCrhrP0T)V^>20Hm4PVDQ{gqAZYfk~C{LS=W{`dL``9NjeqPIgJ;^p7iNkH%uOsAo z?+RD?*&!j-?JlAg371CdVgHl;#jlR|R|ZQN+=OV(9y0#)2R}M5Aji?77lk|ZdazaL z#I-;qt(vT5tq-y`2{0k)k*!_Ib6t}p#Y7%6c8L0TdZY`s^{gB!3i*+`T9*2})9+MQ z!GkIK!S&cF!<7o3IK}4pwZ6MsVq0G#J2hI2ZPfAhf<2DLJ}GCbiF_dTbW^iG@iT1RyON&za9>4VLZWv#xSpyCtC);U+JOM)YP){!(@gWe}7TuXR_M5`HzH>i_qXY6x7D_A%yv@=^9#A z_Xw8SiEYr34xBGcC1a42$VilND@esDL9rTTso7et(bEGL1AT<~+f2mtN%@Tr-U5_;h`p`4=hxPX1=cHXYym5E8{soCePIpt;(+ zjfogcC5gGw30?OceZaDhee_`pZ6p1N(Zil7f;~l<=P-e6x!T-rg#WSBqrJ! zNBsrL9+kP~+AE^W??f)9QV;Gpu>`=irdMt>O97oEYvXA?f`0v?5l{(2ITI??1!LSO z$%$dzU0!a(5AaW-cPD7-0u8{pskHP-13O1Y!>QPNLH5b7=FI*B=4lF1iFS zViSsn^zT8dog^jAWK!Ln(^V21jadGRKY#bC{A3d_= zBKGEgg1vyiNlQ}*+MIz0G=<3L_+h)|!0Ub=xCuiYWc?0AI*YFk@l4X8&#Z^fyJ^x3 z!E&)>@6U#9wO4_)#^_Bv7g~xt_~A4~(gskBG?=r1Dj5$NQw992@m~SGBA7Ngj6UM73vlBb}C`R&U->DHV^!F-IE;iu4(XRez zI{e-BDph6E2EP>2or{g*a>1R(&`M*OCvY)#NK&a+8N=B6vlj+Y5z_QaxL}Zn<;p7v z92R5n@{CkLo?)&U?NtDLNY$}TNL!>bzQm*&5lQOjj zT6LF2Y2AF=PfB2{F6KYWpDU_JvRda?kI|{(mGC^gK1ysfAC38!UN097mAZDbh7>Zn=luh8^nMRQKC%==Qc}{paNEeKK*chd>LMAa z=m*afw5tTw};J+qB8#Ih-RLAQ<~n_oLYF$ zDPg^sxHx5sqV&r{g?HE%>^v9c;LWxCanf%k`=eDRpxlbP;Ft#UKf^0Lk1%o?(ryGd zUh?-V2a5h>wT}$|pVU1oBSAS!d(i#>Bzo9L{2^xqlQJ;Rvb0F85HSNL)`0`yh(ZDX zspuIl+Om#UeM%|(*8Mn7wuT8b6#p-Y${On5e2tpZ+mowZmQGw+IN?mgCi!doLq0uz=UG%@MW2+3x&z|f-*4LI)#zrneQ((O zcOcU(dr}8QK+ym1-@gF57$!Y8BZ$w7{yF0y8^f)BUO%mAANf={i9h5ymqtJySGYUc zW?+Q8x7{l!f?Yvl1G@W>vPc8Ln6c>PuY3apj~Q{-Ie(833&UBRtoU#6@ zQDOXv22#O|@fguO=-!m-NU{z<+z&GdxXHyr^U&JuvGm>gYS}0WnshIsZVhfrw|2%? zmSOwD!!2nBYsD)lm$-2>76IwBH880s!_;e(->R6t=^5kALRvd(n4g2L4t*alR39>i zKN61@3btqmN4*^@R4Y`YcQkjNv8%mWi^`(oT%R$h9@N6E`U5iEU+u9JYwG?)Z>33M z*KDXCsaN|3H6J-)aM0zff=C@`Q;ixZw%sqf0sN%SF~!sugx@qFGnO48SgW0l4`i#h zDGEkTLe7|4$vcOKhiHydzT3+Ic$@s^)2n;omrI_;S{4`vy{1&z+KCfS4-aIlIlZKO z=LF(cZ^wAi-57Ba_KSeyl@1>M4+u;@@w@%v`g+#wP=UYHogd~QHUbCh=F6U<{14rN z(v7x!Ff;S-FjxIF3HQ9Lg5i0Bcqex#0wf$dFlCf<5c7CgMENM=_HJ8a!BIkzxHJ} zC|YYS!->uMjEVXqp>aJgEB_Gr$SA(xT4Qx0d&UpF9+JE}7kaB*l=Jy^Bl{Ia8A%_1 zQR-7?Rg#c(Q#woI0`PYgNz5boLTEIZum;BhkLwY_Or(A$iVl4yF6*nNZ58PoZAJ9< z85tP0+-%^$8!>hS`M5|jyOpXNa`CSV(p|v& zw7Oh(apH07@iOA$lKP2o?liU6?p=eyCM{^(Dqm`W$o%rF&6r8`4^HWi_3B(PM=@T-|T4 z>5?y_LZpA^&_@hHXfZ3zT14&7A0SgGh?D&s)ZKaRs*t{QC*Fmx-vGZ`#um4o-^I5l z9rgn9UTRTd-v+)aa@OZa@vgAVPoxM&2&$Z72&74=CW%eo)&dj`CT4c7L>DMJs1+;) z7PX|zV8=6+xF+~*>Q1W|kCWz(_-39$yxQ|&V~s}jWY+FzP5XVPlbq2%i>_cJ+)%FU zHBh|6nyxNk_0Vn;EO4)AIcD~tJ|S8C@O|juUBy>~BqBQJ>bY7>VhoaFDfvgg4nZpi zcg{C0O-6^}Na%T_Xw+CmD&2k#_uXiR4bZF9YQZ1jmDC|-;rjaeP>mM$``}%|Q)ci# zz3+_WU3PhGoIBuv!FGss7-u&=A$Dg>%~wc&9nUzKKO8|RVq+WbU@=wJ8XmupOv_9| zeACo_;QBNauOBtzPron6v*d`%|CW7a@cN^xNgZn>=hHemk{!c}W01WN6a)2LY{M}P zGQ8}VD#nVy$}qhejAu9Z4Xd2mpm--IFjdr?&!efqB_vVpz)a5Y7urz@l z6hM*%ItxF~1sDC{RwxL2et4(yIQL$AZ-r(D4>l7NqPrhdSn1S+d-KTw$DZopeyaGeW~pz;l9lz}zy$8!-YQUk!#E;79 zjp18ET8=ahk%Sp=Ak83`4Y=AA4-A-uZL7+@i`_#D9kysfeLA zh9kffvFXqOf9+SXcA9iHjsk%Oc36%1UmJz#f2J4lSH5qPw>F19o6t;pk0;lL$zyVd znw@Lih$>A$aGG~FdY1(bCGyph6`GQ2GNfydAx&}MXqk(4stzL#F5Nl6eqQ&vxVT_= zgXLYJ`G?8t{ZHmE0Hw#*-apKHG8kQkJT(Nj;4$ZygK)hAZ<;91Bany38M@%Hvta6f zvbFxAw21P_0mygk3GsV;wF)v9{f#D2)DV#LZU6Eo6kR%f=$x`qfYzrtWMElM6}kHq z#pJNe5ZMv08@*KAWC`0qlF^~j9Y__U5%sRgzp^a%5Wun4U`qe4K0h==X6Xp_rT!VG50FKrMV!Ep#G%&0G9NU~JvW3(6FWZFt zlu?%-*Tot>B*OfBupspwz{hPfGE3gvc}KO8#BAYgP_j}nj}d83RzJ0_>BMB4w3f+| zf)H~X-E{9WL$s0h8samy>=hjU5^|+TbF=;U;l@`td|Y@W_sKe?NgM_x->OHiwLl+V z@od2-fCG9$5?&ikxU^Sz>AoKQ`g*hPRkdOk!q(*N@p3)JZNoC59}@j%YDbFSLG+9o z&U*!D-$Nz^xymGp*|2Y|teEe96^U?1zZB@u-5LbHKTGBQnfXI%`s|ht5kHP2R97pwtC7Z;&5nUbA7d43Ew>}|{Lt9*DdUAH-*^?1 z)&%SiUzPIak@3Ken3rkRp7Wl@yD!@+q3%rw6-D=+`<0srkjj2WtTPRs{K7rey*bGX@x82xthwu<~P(8l@2IL0Cnc(yXE0nB$k8>-$Qu^Th34};S7C;tz#$Q z*>mO(G}t5Vf4H;cguZ&TAp-Or%y)hg@eseV)p=KK;?u?oIHK9N6ZzQlRbwE}xrgw4w59lxKf zF}rn9F*97Jn{yikS$4@CD>jSvAUwT&bLb{kEatuCAYiAtk@$M@m0MwNh$iffbxJNK zCe!##x7EH_c#ZGmU%=fwO}WkrZE8ff>s*+eg^BYiJRb@4{B1Q`HHx(?6zYBXKYCzNFV$V-Wv=8ZK7q*D3G=0SDU_g+D}hjl|B7wJtCkH$rZI>1Wih z^r)99M7Ud)PTcx+PAddxnE5BA&cST7)z_)OWUj)SYi&i5&z{;uQ*H?So=Y{0(VTON z(L{ksL+cygp*PHjin01FSqxPWE;5!{Dc)mcPjgeZt%4E(%$`cY9rU3qPSgLfbdFJ# z{%;qrPPUDyrluyllP65JZQHhO^Orr@lg+6n+jcX#o_qf5IWK$DI_p077yH`#vpb-q z*_18m(EIinLXG<^B9jMX8;%%sj2G{z zZ&UHSbrU8!)>yerN7=LM#i?F`pO@79X+V>E9$*7P<6`1Skdw{tm`@oXC>@zp3a5Ui zp0f@>X^9>MG+`8J4Bf{QSd~+efxn!bd23@Tqdrl;I9k~Sj*5B#Pb(Rf!5`M8`rwOS zf7o&d_DbU5JSuNy`w((PqZ3UtqQ= zMzCRdoOR@0jKztr4VbX*6fBfx)Tq&AJUO#$8l#n+@vM0h#E%dc!*@je7y5wcG!1CD zF404>m@#pNdFfxoSGoE5FS5(KCcp7lXHPcVY5y5{!QZ)4^%YQZz~!!)0#{exwNy0X z@#tyvtnvq#83zCGNfP_I2BOhb=k4!6ZeM{97Ul-GAnyq14MstG<7MYOvqPp*dBxG|p3V z^3PVzcL`8ftSOK#;bYY15sh-E-hKGV5&MQ@PU852Ey$hda|4c5V>wcFhR)Sq_H+4r!z8?u$yw64us#D@r*yUz;e^LxKb4R6Y&L8 z(pIPt$6wni@i3&(u`*{Z>W?YM%N*&jD!|$82;kpaj5DnS7y`ObFq_r5vrZz2$kWre6d4wekgg5%~%F3P>_g ze;+MMhoH{=3knASjQy4HFW}o)G_E%_hKrccF5+(@Ft9wpcJThsX=zb^p5pq zjeH~ATqJI5si>XOz3AO2hMh7O-)u*E4d5V+c3Nqh;`F!aCcu!O&7?zx9!$ZUA+yZ1 z)ac*yV~HFFm_A*ez6No9E~dSB;s5D>Utb=#LrWfmCKbJ`G`1^~Jjx(-{8YT?ec|jj zD(bhcVe_+Bb^LYd=>nqoyx$T`c6@8l0s%U&Ng4B;VU?jy1_nWQ`u&~(GJYIxa=pX- zm<;i%_xoeX<}-N&&Mw?LD@NnUo!hrSJ#$pmzz(q>5d8%lKvl;%c#Gyx|6tU}aWtJA zliqH^!rJu3=f*7}ctzKTt)ZW8wN(#>s6B|%>3&S=tQmY(2pRQgo7BPfEt(l63!M#2 zDk8#Rw)B@x2nvFPf+Mv|Y4Ny?h>)Q+ZmiBA9~{+OIx%5I4Gds62awN2v)o^qne@7j zJNO7M{QT~wmMWja1z!UdzKR*HaS14iv}BV1YHspSBHPyj?GKKgQ)&$Ca@IC^JUOtT zPCj`(g-=*A!c~0vD-JE!K#bnJp)Q3B>4s-wE_UGEmUxtg0}&n>YLjeXi*-SG z@5#p|yT@qoG^pon#x>^5{Bcy+%3g6vB)nB1>O{CD#Xl}5vV99CdY;&a8rZNwJ_@lU z69(i2&bywJ*?oe3(hFg`atn|=8UrqwkM+vrKAIt(h2)DWolEe09{lv4mVLS`SsUu-cdWf%r|{ir zSYj`%o{ehM-2|U8Dkl*cZ&Oq{q(N=|?-Nh~=)$vM*Xs67V=CdZIm_CP4QF)O=L>`S zr_!ipF-So)c>H6G`0hW`ukTaE#Y1|_t#qgGbd=XX_W1mq-flkFv#l`ZoaeV>2H#Rp za&OiQEI?or_S%{RcMWU!(K~yjb(7%_Bb13~rOq7!@9wMx^cv|VaD@co;2F====A7- z&$JVTeJ#K=iWu+MBNGfhOFGBwnmF^C)mnMCNRN0F(Zl^96-nHaI^Rr= zp7PVSdua)U-JG=v7<%WzG#uFfY@$^yw`gj*g#k;?FbJ~?AwfpzeZ60qHDNza+wTrUhe zH#E-0ct7_VWG}%d-s}z`aVlmI8oaecLp}FG(Tcv%)tb3j5YU{Wb32UR;Qus?4QB_M zfOn|Z7|cHpOj)Dul3Oc`M={Sp>nSK&G@3_f#&pPFOeV-iq4uis67GI(;r^Lzf@tr? zPOkF{W31pzfYjj@aC>|*xPnK`G4^Fe--9!1qT3=T5Fs$7Rp4x`1*67Sy6L(D!e8x0@g;ncv-f zwJYm>p!51R!_cinf^A2}Az*3F-My8f|NeJ$rug$_Tks1-4Er^PLcpLWVe&Co$ccY<8Tk4*vxGbCNj?QX6BGE zqG|3^>Hs^HVrVV0$j)a1iIvaGzCzGc*>g$SY42vn+@?Z%>PcWH?v4;n=GJW&ITh8l zsOCLWsU$iY-V9z|IpUOzU8U|Y#h-O_3~Bj4H~J$09=tq|t|t<=?ALASx3AmG_McaW zSgmkTb#5@QNoh0wdMbR1&K6I@^$jRozQ~35fU<~8jD4Af0Gku(tLOe2+BtM%Vvo+_ z^Sph1a(2+JxcXJ+6%VM=QI^r3*JNa5*3z#+7jbIKUwU!m!9JsuPV?Tz0=WM&QZU;m zYpF#K=UgXdoc^OxewCn;Ykev<*t7)9J@HIYXLo-wQCEFzmSWvJFUP~2D(|Iss<>+2 ztm6PSQNW@v!Jhb2I zP56_~`{RxAhyXBdEG(n#q{o%cVMk8{j9>k6em?G4yUIY;KrucLGJP_02dCa=M>oN5ea;w{El-?hD){$<=e?b$i{O98TH_8`km64}c=LflMLy&Ea6qesY-_4b@TclO;rM}pBl-3Y4H z!Q#rSgz@$HK%&sn$^e3i|IQeOWK=k@&{KlSxCR}y^GfZ7+?$P&GX~bbmeBoV?%un3 z+!+Y3fTmoXs~OgfJh!yM5ApkL=Ls;f$2GbAWirL#%$RKGxy5xp?Ev-&SBT-_Y_P{- zp{@b()}NrCq5n>mhy~3B_A_p$*de@mkPbS@Se|SwM={#=v3@+`M5gz;mY(K!VY;%> zI69&R;>L4njR*GV`sx)`(V?TuoJ+##f|!mE2r5u^8rV8Q;`C6!F)$Iw$+I0OcrGg| zlgZ-DzA#BrtKz8j(q&W!wB)l6z`^Xx{ti%I!-yNbI{F%%qKGoeFS#>Qf2n|+rU4={ zFdmpxFW!0)oD(gr>*Bqlxq_fF6~6jP_^D5EJ)V}O=ZUC`;pJ?EZbiJChCg~VfPlex z4JxLt0KyQS;F0h)hwajD_v<7B!y@LlvjV;HRms5D_C*RmY^Zf&YeIdo!FLyz1~8|L zRu<+JVz)JSSDJ)$s6}Zu2wwpq%vsQgi2|{s+<7#Sb#ydXKNBctpE#ltX9rc&lHGuA1m7;6Z7 zcP9!cQlz2MUj``+zP4)$ErWM=>Sbl-)gQ~D)Rj)2o?}yfKy{)CE0~}Ez#&ICy}cmU zG~Z;)>F+)B527_8Au#a7{uJzj1{&@OZIs@D=_)-g z?w@4}sGaYphjZKl0xf$y3cXnik}E2T3%~+%y(7|DG}WS6t*j7O5VGyjq#$ZAkErqo zICJ40X@~$v>PW^Z2s&~(`*%-AM@J_os7cXTK_{!rtL(V4yQSdM6qn|+QjW>gK0U-Ih^8i80%>1BW} zn{yk@Y;E?6UF*a_!}`Qx2|JIVf3sH2+g{jYGvkjK#wP$rX@lKl_vg) zkzZPj=hjc1VFHr5wk5J7cC;RiLb1gEtq;OzpxofN&5=wQE^#N{p-az>O%XC;g(Usr z0+GY_XZ~j&+Zj2C#K+^rTw^R&(vI^h6^W(oMz@`Ozk}S%y4Mc*GBq1^3I+#<=pi7- z05Qfkp%hXEaVX%3$ZaYo8;*81a*OWPcU7-pMM0hYGXkE|#@T8B5W%5N3JN6z! zd?^L7pYU~uJ_wfG<$Ne$zr6i}zDEWmN}MlBYBJDgbYxywAd)VdVj)qcDojmF3|B=& zwtbVjzQMs*pUzlG!^IBE@kZ7n4DmbEUSD0-?~0{g$4MRA4ei&Z+z_EQ;InDfHkQ*( zSC##qn9ihMd5Jb;$7x+j2b{x`Ux5Bwv&PJsBV4t1>bFFK@_T&+s()p;f*-GJ555|O zB36m156w6k`wVBEiQMtIgHOQl z+tj8lyg%}+s}6@)UlEye<(Qb5lzrVH?GBtD`*3W4RF|71g~!jKGoYmsAc6pPFmzM% zW`MPI&!xt^zB_=8UeQ_#3??6^+4}3XM=kS@`13xK{D~QLRdKdPSJ7;4tT4C>nsa58=t1 zxRVNrQ*s1bFS!Cgtrj(gp^ePciIa{w=F1m!cb2O7PMHqNI}4*o|5bH;pV>Ge!qBg4 zXXa#6fo`bSt`dIM7Y7F=PqroL zyKQ^EpHb~8r}mK}D913D-8w^;%_F(5y#4&*mOq5&dPJJ%RKIr7+PW;1=9_Ywdlh79 zVZt-CLAR5lsA=-HGb%!I*5#6Ctn1gkdz} zMdscZ!Iz)~Fy{XfNx)MCOd9{HcN4+~jAKUjfUv|yk3ZR556*h%`n=n|5I zU$&j6wQ(_BmNJ-nNN>WS%4(HiXtswlBq05Q=Jn_@y)x-K*BDMzE(93nBROuIr%!-R z1*Q?Srg9B>A$IqW5@yb1Y0RqC#fs?=MPA-ly zldaRow>P@4)`n`9v&+C;F#*U8v!{s%O+*0m#z(e+ZN|MPxA1wK@yr>+9;SJRJh6@jP@B z@m;eN!)_V>at$C1{}vAU24^7!1?v$yzhmRG4~ODLbqry_eCv*VLwox+g9tpYc;ql! z>0kYtX09*&Z%)M$%P0nE$a=e+mncfy3iiZh5*JyG`$in@XBX&sCbDN|&C-TiV+SUy z=zw&alb(>3$781H&cNG{da8`BMnCdjvKEyBj&wH=_HXyTKfbxSsRs)L{n!>Uj=IjE z2k9OVTz}MS-0GMye(4CnI=dAjhqdS-fgu_lBjIuZevwe#84$ifj}T&{%#$Xp%0mH; zmm+qsm;|73`;`X{+R`3thH`nDn2D%^^U|OY^SztHWdnC8fPqJjUWP)kB`|$p!Gg(K zA!jw{WSmo=Z11LO{R=bKk}Wwln2I?gndQI(xboXg?R`B*qOPP@IUvm9_R-dYoLQ!( zPVCRMI*id5n`|RYjDr`P-ix-}_WBvN>+a`=O2I}NzvIF<#BDUR`Ylnw-IHOHWBP1> zI%9$?Ga744k;M2@C5o2J?Dw=M8AYs2iv?io4n(xWv^O#!W-tl?iW6e9-;4nML2qoX z74;PjmfSa76ib18dFtez*NGnX=Dw6bKu&xEbpEOZt9BhbPNL-PDN&B>DFd+vAV&4) zU$5WM>-Eln_rs+oatu&=;{54|52!b3%=B!^at0% z1tJ9OwBV9r9wz`9;du?_LST>G_}lhMVf)$K+9GP`l?|`);Ux#;o5iMQSp#x_Wf=Z# zrWhwYtaleF^T4Ut21WZI$o)Jf7ATSB5t}$}B8@5RDmA974AV-%g-}xZx7-)PG6Pxh zR+}-M5y&9b{;iJqfxNx(+XmL3+W~$#7LS@uO&mcWQFd!|sGcEp?_45t$}FCgpY={z z>SU$S9Qc0x|1+)ve`^qd0qm>BORm6vUom(ZNLS$bTZl@V9(Us4cI$o3zjMP*zuTu> zt43xbONP1>Btwn0whjv!SR2$ma&oHF3rT=r$GLtRYetA<7=R}w zpHPS*Ty#R9BEgYmk0jg0CAKYMB0=SCQTx-6uX6=G#1CPF+v-fMpPf+2`@{KUU&ze2 zrF1QkQ3aR3ph!*R4P{wOSb;X+TN>&69Saq9s-gWK2gsD902-_E92S1PTln0D>J;8EpkJ23)+<*#NHFiV#R7tiMcnzg9Os1T;T|l%?ooil-u-vP?17)CmkZ(_8d&ru}nnnGUePGwY}iJn`1Xfhv2?yyxDBC(it9~)Z6 zdhi!~gNu|&G)&vx(%5a?)=~($GMcE&#iRHPx8vl6dJTG7BZ(dQS64pxcFgIye9E*h zy>}1C6*qCf`W!Vl7lN$eh&6-ZzetvGs6oW-gOculaVj7v*qU~?D7xf&U2gc{$Ed7r zX9fzec7H+-O5^qVQCo|iqI{;oPhpfN=>O8{@9pK~<>&W)f1=zuxR-6;?RmQ&$+74E zarN*@YnLl~3UK??*46^s682>5zbcX~U?bT2B4PyM#`A}4VkOtvJzRonS zn&V&uw>3}`|gyVUl)QhrNVnP{r5SZ(*5xF6%t3 zRw9OxH)kzifdr~?kB{MF9N{D+rmevk z8n-y2zT{=yK66;UZ<*t=cU>g%vrkff3g2SF@2u^cE^>K z%vtD(My(n@0KJ%<(7XzZ{*%ppmDHQw~ z=&%#Ut!6AR$n_6;b^yZ7`Ize$5I#W$zfsZ{(Dkopi$VFY3>iWOsA zv$AW97BmNS7550}nQ~BVY0_xcF1Dl1OWoK~wzE?@@|`>x0ZJa|6_k`W)4^+u4%!K3 z&r(!QG(=ekyYcRql+g4R1MN{R5XIM(#k;Rx6w$TOPa_6JUQ)4^j>OCh|o zTVsfPG>ND}izX~Ih~G^;t)}S(+-PIVn*cfzx};?58lo8WVb-YtA83maS*9_9ML{mT zuY!vv6XT#1vU&nzAdTEBh=tz-Wjq#19mT+&IEC!TuCSP|Ky8A133Wzza7$b2#C+;< zn^_EVIDuWpo#+uJb99#d3t^6P%S(HW&)pDEjW!7u^!|Geuq{fj>%K{i<1y%gHHrB8kr`9UNf^g7xt*d1?RMZIIsV0Tz&m0sKKQG^ z(2u@uSYo5#RBux-x9g>?9iyVkAe4P(jQo6}6_=#@=>PC{YUd&iw=Z@(@bDwsjcv7R zcWo!kw||=x5~3wIzLVY{kNxtJwaOw*>YmGjg7ftB#cABeepM|Lm-52ot1pMtK@`PA z=noC2DNp(4gvY$AHhkD{5w%SGz>2u;xd-wqBCObr6zkXYnd;odnCElZlt74hSo$iw;IKM-<*6;L3fbhL?J4Nab zh=7ichIo`&;PvjGZEg6}b~N+2p_#qQRA`O;xDk=>X;`*l+bjx5@``KEEsBk;ZFcco zSkDePj=Q~HQ<<5*ohJ`t%C|RyuLFWU$DCalpN8kf5pBr$p;33(6>j#ZA+%kb!0}Xu zZ~>Belx~-*>?Os!qjAG2&A$)mwS2;z>LeCQMa__3^5d|1q9(V7EaJuIZ=r#C}u5U z=8Hz$hSX#93>oSrQoO^b*VV=OoJL!#k^63Wj}(H7ORT)j`ldrV<|VVAT&{TS70Suk z;T~qrLa!6c4#IA1GXOqRNeU=PrV?PO=->AfC^``c|63&~_Box#&?wyJyk{}wx50UO z!Nibh(7}K}NWI1-)73PXjdP9uCKaKLW@oAA-Suj@X}ff`NulEJ#HCWvMAkUT(J-3A zsM$p?`K>!SY5CkD6(%nt4vO4w#dDP}evzX<*)RE^vT~vWi8zI~(|5In5Hr%6_{b4t zK)wK`5AZ`ECLhYHMP#I0%Y4dOR6?`Z{k>ZqU1fRZ_n^I{$jcZ(UfxD(*)ru$0tmwc zl|Ngr+5T+#GeFiCV1+zAfg^%xwRGD*)=a$4Uc7$350Jex=g;H|`gd>G^}IiyUAVox zJ#0z;w^MrV3v5#D7DIqg4n*Dl)sz9aghGgeoJ`tfPl$nGv&MRqpX6fV{l4rSZ#>1ewGG%$W0DOa>^e3bGw*qWfbpt4u2cIt zZMuVNORa-68GQL3m5g5YOBecX$xv`;8j9ZKhe{Z!J_)FVee!dyUFoPsZTWtCXxR$hSb z#NcK1rF@gPu=-VPTi4@58XcX4T_0utgJ!#TScKGQ$)8sG$AOYOV&3IfC8cvQQ4x9r zmGHS^lfNpb#|T|nAhVZXxpGHigxrWUz|^6S0Bg$+T8SCSiTk>QgbXA$qHGm z8vQ!YGUc32plw8G3&Ubeu4=?|@NPQ82E}oHgH81#`bI|87YH3*P84Vu8GkKR(2HSN zj+gid&VJgpN62Cc(s4x&L;S_xsY~Y#VFTw=pvetQK`lVgSynaGT>>o3 znRbUdM=RSFBq3gWF;DAQV(O~0V~%?fr_X75XLyq`Iua>0ES;NWlw0AU+D(q0aQ1k; zACIqU*l(GB3pOtD8yVwefZX_1r}SLc-g(+P*j+QH@@wH&jw;6bfG*c@*KcQ>EZ;)9 zrsH~8j(Qt^O^dLHN&e&*vzZh--U=h~H$-F&_cJE7QK=iuVcW8%qyT;+Ev^Qw48wVI z2CD2Ea&MdjnBul0y<#d3YdRep+s96*zg*6)@BqCrJ+PkP$3zASaFFE|f<|IrUj^(~ zC@khCC7=^uwx={99r*P}Zn|d&Bewmrd_Nw3{^o+f?dI)V`ZE>NaX;Di!}ow#^mNW{BXE)4t(E32qflnQ@XF7vmmUZ$edS;2kTZars{brEl60;nN;JJr zDprJR+yY0s2}Ji3&9x=fgk!Z{%OR?5JqD`LmIH7855#HK59IUrhKx96!+I08^$e;t zWF8s&y;MELD`6E2yRu5HUakV31z=+J~^TI_%LhybuSd$XnSx(@NIAq z&}Ao+xCHzkO@F(*{vd`i_%xuX$8#aQvj2lX4noc`;6}dCHServ6kuT!_YB67&mZ)E z9#F# zZ}4roD5p`AnpD82`~Wv~F*Tuo)cfhSBrV`S8LO9;npg)iigqo|?p}_IeL-Fa7#da@%z~h4_5&CiM1c zol1L-iul_SMc6J)S;`AaCluGvvUZ?=spTV<_%ciQe;^2HU6ON&=qfaIM8vCc6JlZZ zqd!LMC@JFv?%AT4WDUxu`8+J!7A#%DaHF5H2wCh89p*zyY-)oToEGFFjgD#Zpo^B& zlKIyl_36NRgaP)NWkXbKA^|v*V71*EQH6%>-`H%Pm9ocBw%= zKEG9bA^s`AxK?NVm-h@Nn$Cz#IrP3xQQi*yO}fy-&=}(Zm1YaYK@)aV<_pE+Tp*R# zHte;tj)7*fIbU_@Mj3J6HuqOVT3v+I`PAq%-KUtbTIkpM>*Z|?o2uc|L!G$9N&ela4V_4*ivQTXYT-t*?QFqcRVG>9gzk!R_@YhPawne6zjC!IPnsy~31eff*j=-}V! zQ{OJ32vYJ-rKGrXL7Gc^qyX_@z1l>k2 z@khgtAGVg_M{v(dl_xv|7^Br1Ey3T@nf*$OA|eaft(9P&;c`9CVMB#5Q2*>V{aRRM zJR0=5|L!xXc9K^AnaFhSn)QEUFce_~mN)l_Kl#D`K90u=5U)Gec1p@=9NSOpHpmcJ zICj0Vw3(RM|2imoUT>qH{z|kn_sQV_THl=%2d#hOiqG4hCBQM-tOZC#K-XqfRTVH9 z1Fq34zIu+(a0*uFnUAHtlXv1yT|#o&)s_k;G>kU{^G%fwpWjIM7N*OBU0GYkG-dS z=PYjK7RSu)mwq1P3j7XA*5>AnMJ?sYW5;rDHHOENd9fzijR@U6byZ_mecK5qdq1Cf zr(fVA5`9rFuAzQ5U*%_J9w$}&68N+-^P~G2af@~H`PZcza#n96oz{uRBSk*MY7NtJ zja%>DS%;;At1D3G1~#mEpE&S5>ZNkp?&2eykUOCJ_wVb>hBLveE1^ zYS8=3*Z{BHKLvD;5*^ZPtQ-a!@!&eivKp$f7`DC%wP znyA%_%jp8#(D{o=JK6)HgHSvAdU}N{1JqxJv$K;yD4+vJK;o6#k#FMbMk*DwL9$|0ROK*an1hZ zWI7RA6ztsgAe5Eff?S0?jFTzPNiv&5A!YY>c#ZKsQ1omJPc2nyr~3CIj9TTs@Lv^e z;>lzCz-bYGhccm1={M8 z*@$o37c0f`CEivqeDIjpN%J-_c@`dsk?J7<911l}hVwP*m#^&;UjbCaNL77aWu+PU z3=d|5Cd3f5TMA+(q*6G2^ptZ}3lVoo4d_=1U=bT{pJ zb$d8sEh#ma%9jZ`Prb0EuxLoQ*s5?F5>A=C6F)VzSfncgbOaHE^VkzT6p>^OV$_>~ zHr_x!2U8Z=f*&Cw1uMMbP2`70JNLfU%WSkjbO}J$x3yHqXHZ3rRA=zf2; zrtL(O5UrQWcA9i~=DDPa4~eu*CckA`@)ZxyMMImLdPR$=I0YubClFHo2-;x#F)#n< zf8MLzUO2ZB&fZQJpQPZGHok$|pD#QYsB^9qSN$f=pC0WD9SRY1xnkO%bliyS?+nzm_#z^jd0Y1e{m}4H`|eo8b#wJ zzUWboj+?Q<5`ct={f+ZtRj-i|ayqv~EYtH0ywfJkP;lPv_p5^lf!2F?)1$BnjgSyPqm zL4ZT@B$G~k)k5V}4$fia%H#W;|ND#?bdxUxgQH)}=4yYvE>yIjVNUcwlAfNPUF#Zf z&FAfPc6Ei}>e9)H=)L{)mW_J@sEGU?*8x}7yGa)*@wRefaYx ztd3tGvl5)cAXUasxWDW`*yCc2X+@8fipdET8eftz{Ts!=7(B>Y46sid)P1LJkO?OK znY^*8;D97C912Udhjfsf;+&r3rpvmRIR{ViIIUKW_*Fbd+Y~RV)3#Yvwc@8MK&Ej) zPLMD&n|_Y7$I`6`b77XI(iNUCqbWjy=c+gc^y0XeX*Zm35E?N3FqwD;#t%9Sd=#$? zY?g9x$XKjtu+OXjfBf!4NM8SnVquB0uUdXt@G&7dzcW6HEcktO_?aIE+?rh*obTt>wu}$ZcR7ieC}BMu z81t_aidorTr|dT26>bAO_+Jh0%A|KJ{tHiEk@@D8ZxmzNkJO?W)czvf_cg~EaBD09 z&K&@l4=_e*)w-~z&!nRl1ZOu)V7wvc5WPIc)m73upcH71A#C2qpZ z*YJl$*OZB+!E3ODW=p>RyQV6cfRDvPomG9Tb$^?;|MBVhRmQGXfwzCfqWBz#?ZR9a~~(1dN zAwjC*x0S$Ufo8~RBQBt3E!PD6`D^~5{MX)L3~Q;#SD`yuGBi~OiR0)s>?-4)mRk>x1{3a4`2n8 zY0!-L>n6*kqr-#_&O3uj&hU$WXG8e7Gev)!)FSpPE+s()V-{}Y=I7Hr_20HFAI)a< zt1Q&AjKCAJm=5=%=`cZmA|?5b_dqeMADt|E3-#D|A9nnT%h4s%6-9>(;0dhu~F;u?YeT z_UtTqWB*^sbunBB^TpTye~-?g=`A=dxeDmiky&Zu`II7-OLQ}&uS#r3LX{)ybKS!} zbPX#z)xhye*RG{ZgCT=o zo+EZu(GI7}3V6TeBOd(#LK*L#lwf3*N=QIo0X~O40?74CX-B3$+gx9;$XmU z0Gtah^G>=a$teGAS4i77YJ~>cHkQT%Z1&OOnK%Y3QwCcXg+X@GJ1ah6nGI#dg{h7| zxp4u|&o@4s`sgpAo22pE0h1G*sNf>yLqm2k&6JMHA6dpOXhn1TOz za`^o>B*n^*-K}*mQPRc|E~ckZ+1=Lrv1wb^2C&Ms{WNzQGzS(aQ5?SUotXCU%gqh!boTilu zNw9w)GvsF|Qm&CikRf`+qS1gHyPgqa%6N@jW#okrG#}Z$hv<6cn1x*CW7O?E6F_2Ww^1@4{nx&|BEzZ!GU%+u!t!=biKC`7T8&X=SRC){muXL^*0KcQSA{a76aa z)?Fug-M@p#+0o*EEeZhU(v1-AUNz7;LZS1YM3sMuM8fvP!vwy|f+yqNM!K zQlABV9+{79C`d*gEaVtu5ON6cN9n(XIfwQzB%Kl(B>L+#-q>gl-w3Er4^V^}9s>Fi z1e+M8#n3+YKOhzut`Wysh=%Bm(3i;NoOsVyT9KfrBGk zRD4kUzH7yjKg9r1UYY(L+9vST77Y5<%a^1;I1vHqV4%H}wV52H(GnFm%GaDFzWzR!Z{IkT3=eDz0 zm!WOnbgbH`T=fGfOqwTa<}2VMBYtLkAQp;2qX3uGgFhgSV18Pev#;Pt5!Vj@ z8dfsMmk-fKHJM;-k1}1i{yU1XOQ3e<9FhbE@boMBt5oJBF3&8;KeNc!N*4 zm?A-(&aBr9khQ_S-_#k5;&o5Ixcs-=8BqF^uUx&tyszEcDxk1Xj)`x>Nd(>Ms38{C z&B;!e6eP*(Ll2`!+!3H@qWp}fC8|ZNHiZpSdU)%+1IW$cWPWvPu>VKWIR?hnc58TI zvoRanMw7I$ZQHihG`5`vjcuo~)1(b2wr!sMerNJOKW6rWz1DSK%L&XmBh9)Xnt>#Y zXF87=Hsb+RhZc05`|z<9@VbvQ==+lY1NDDzb51@!Q3rsVYy5&J_;bv)4O_^G-@ck8 z`MiEStr;hKi!uLOoCgOSrgVkwNQ<`8^d0e+N$~bJ_qZ=XLg#z`e0&f4sd#}Q7?;>L zvc9avTkrqQ7HZztuIO2r;$o(Iv``Vw@t3KS>um^Pljw&P)ZIB%Fo@&T#h7@(R>kDk zw?_aAI21v*nuxN6IJ*&NF6?u=dwTkQbrm^~lzcC?YY0qH6L|+*=Ri>bKYXg*XxFwL z?2IUUNw*6CN9D#Dr`KRSM*#)o8!OM3uDL9iVYmMlp9SA5_QvA?x~;cxU(ZkssX*ie zhcIrd9bI8p$g+Nl}XLmw;|u3qdN$aIsk}vgI@{@f3td-@FI9$>Z5EJCHHR1j0TZ`sqn4VZRqZ z>dpNb6YRnZE^Zn2P<$D+$T{%+C`HE}XlxvaU$-(9;H8nng@N(z{m@MfNfX;co8wo@YTy50P_F3q9hydjX z*uhr!K9hUl`vRRp`)7TzVzHOKoUQ=xCn+}Z&dJdWA)q&0L&sUZSi?GUtnqe9)<@xQ z`|c)YS3vvjWOM{!?N0!YJ{lq*c}&y?b}|%#7i)4-EZTbQ`$kDL6A_errJQ+0SS8Au zhU8Ru(`&hmOV?FU;2@o;zZn#KYa&PnYd=U74VEA^dsrR_`sfY!N@{^lov(8pf zW=ZFt_itT4_E01=tNc6HNC1r2q5P=h9BW(>8pvc@Li=HgjLQtKOk*jb$?A8>>xg+A zzgr28uNk1Q3gA~+Nsvdg=Zky#zKxzPix zqRG&%yQFytISo41KRm%#My;>hH-qMU+Dm}?Tnd_NE!X)v) zcV^QpH^wZCBY@0G5)Z@xNZ&8vyp9D(`mk^UwHE*pj*ao0C!1dtzPh6Rh?}{>Ef8du$tM z>qz`U{05E-IAFLKQb!)}6m6{75I2g6cmr+=d)4)ncZ56iY_avI6MxGaV6?6BznLb< z|DLAXcM3;cT%;!BX%Xy%l7hV2QT@;2=^JMwU1Q7WH5bz0(~m2LP9gKQJ!F5}{0A!3 z-Ud)^9G%nq(t~J)Eq7mBCnw?lc`b1nXTUkMZTinK2Gff=Q&`kd{2vEeHCso2OMyb| zw}B=8VR^2m0~4VW+s2`BS1uqa?(Ge*lR#?JE0oQ`^m}JbeU}*>P*4E$e>e@1Y_5-y zA>jXpms>)2NogT^HsZXe=pdaqIU5W2elb*=!kWcr7^g4cXizW7^f>e0YRBfCw9v_` zLV1q9eu0OGiAc-*lAcm!9@!sSSeoYDy&f@Y$Bm6K&q)$5X4a?;Tzp(bcQf+r1C zfMiVhwNTlp^|u+8`uvqwF}(+O!AT4G_35%n_qrrA?s5rBdOE7_>Ba37&jvARe!~H| zX*Qe1Oz-o2Em5J#w2<1324gEta(kGq@OOQ2Ek+!t_sG3V*T0exe8~|&J2=Ym;|OX$ zs}-?E{bvdG%LZ{!qE1Z9ki#RNkWk)~g-6yl5E!FAo<64bl_k3kE|ylqNsnIk!}UXW zFiS_uZvEr#x}N>9rc|gd6;3E(eY_s^)9eM8Jw(brh!J?EMNmwd%5-5I&Um-SjBZ)y zakC_@f!tv#&}UfX^JNE_pTf3*kl}17;5=TBkH<}vWR@EJzZiY^a(odJod<^mLsInG zs;od&S|L6=v}LO;*3a&TPhCGT_(k_J2Xd_WPcU)j@e;(^Jy$QD09=17?oJvA1As~b zIQkxPJ$^IU)j+Ds?%%Z6->Kyzp9@q32>e&$>I!<&BTq0v{=0IIwoYe$Oenc($0JRc z#;X4J6F=|2r9>zs*3%eEiSZ898p%0#fpsX;_8%yok}$>LYT_${;^N0+hFmj*d<_vT z_{I%oV|3-jDPp+5T>|j=q^V@d4TI0#y^_Z?&cmV zZ;;49Wd)6lln&s-!XKV=69oNwCF6-9*e(8mi1-vKTz}t5TbPd~b}D{jHto%wT@UF9 zd}BD8NYNXe0(!L8s^{}bc08e))U7qpcwEerTn$~!4VE(w|C%%!Q@;nSA>1apHke-Lv*^PP6-i=7eQ_Ew2V+ytEta1i+GV7q`f5GVl{5P?}-?M&J%+vTsk5R zgS;fSZ-mAzo_d=M1Qw$CFr2v<&kt6z5OnGdYMs~Dj$?l|{m&XNM8S&DTY0fMYXUmy zm=5u_uIp_`=-_yYu>jH-oDH;_6hsNlXgt|=MEoUYl82KF{}@B;zRtYpmdTx`=hSl) zXm~r||A5o5(0`LR#ftDl+D*Bedljb&`i;X})O5_K8m`I%qlOp_p z$T3hD!MXZT8)Blyai&1W7l_6aCqKKfUwuZnB;V)%O@g_G0<%z8jBVEcrS{{w7T6!+ zNrff&s1pH*{qOlMPFrA?WdwUTn_zNXEX(x4&6t_V!5R4uX~}F0*hV8Yw{^=(kf0Eq7%})zdg8C#3%Q%}=SNOQ$iwvjWxBIhgwo5N{AG40^lhBD07?qX zVg?!)F2g+^(wVc?%bUKCShRwYeX=8hnRE5UdrkxH(>}EbA--C)w&R{r{R_w}{b90| z;2im3vbRF}#^e1awoQ8{%?Q)D(LXsx%q5v;E59xMK^$gT0(Ks z!pyVf^?9-P$M2fuj2`bLKXce$K%626&PYgTwf6tFK{$a=n(G(C1eP$3X2DvB6mG4} z(W731D-N;k=Rl;0K|-lxBQ9I8~qJ`>ZLU)s)QQ;GAu5hX{9-=j`%E5uWS^_iyQVy%?Z!PxA8o zpze~m5W;t&fUFE&Kzy=j1Wr2Yo3l_T83j7?F%K54bb(Ght>pfwA4conPX4(W`7(&1 z6fa~B#Vqe&2;%Wg6v1Vkj3`jJ|5D%C4jTIibxGiFfhwqW?MheHeqV zdcn|dsI#^pt&6mO_4ll+q+0e0d?^vC1Du733CH}Kh-J*p%?&TapB9V9T+xDfrQ6gU z=#h-GgjQvfbB+|wCkmF54B_{G=(kbEUUEQ?@qS zD8O8lq}HjR_UT(lM3(omo}r73b?2HC84g{nSi{;|=}?@OR+w9EZ$uuha(9_WbGt{B z?^+TaUnm7XA2>}sG@MNbllV4rS4(|rhDNy$J<(slJTT6LM#afji<9jlP_;(Jj`ZfP z6*ReEXIm%!aG`ehbkkk35hHza*Uyh~>(mH~vp_U(d(; z%Rad0K#0+wQKp~F|9eWzn4{<1f8I!5jFeG-ASF)L)aS;}H5fMsui8D43-eK5-_z02 zARvaZ&}}eOg|=w_cTJJ$UC^2(@|;FxeS{}eeO3v_W|vxt5%N5#+3tnIb)$bU=y@v9fnmVjWZaZ>cmWmIH<+$&o8kd`U%!fWQs0I zUW(Ac*L)>Q-E1*-nO66Oi6}W&P@!6?s$I_v!!~BBZgSYliGd@=(=QzJLa+P8_nQOa ze^(Q@;jY+5nJJ;>mavP53CdE;ztpnp4lV5L10N2KtySvs)`58zoCKBU%&&io>G?Ac zeY)9{1rh~%jtwf}pljB>HRro;XZ)miC53OR&h+=rQt&aG8rRj<%hXx#E}QbVGgnN zyHpy|HMyyclZ|<{qMiy}V6H8fn!S%;g4!$9&HOftI{`$*0v1G^n zYrynn;tn!9w#NSacSQCVK$+4x16_-{t4&G-fCn?EtX%q=Oj7fAIxA<<_-yKHFt?LQ z_G3Z#W@Goce6K+xiqacN3-^CWoipDwD~=k9oW zn>>oTZt`x7N?{E%anHq?V5k|hMcM)o=dTt+T$u#TqVC3A5^PVLh0}VoMh~fMm+hW9 zLfJBN>JnvRl&Ah-%n~~R9kkmcVI_R7B3t+1Aup<+f`quAsv7DX9uSZkj5|4PMd_Hf zA}EJ5!>u!+P96)Nhsarqbt7TF2Pb}woemxdbR~dCuyi)zeW_oV7Wb!ta3~fAs{=ls zo5P4X;T(@DEukLLD-Q~%aS>JK-B)?eVdSa&@K0qBbzdXHZHh~vZmp42m_)G?0i-60=~q(J9^=jl60NRT=MvAe8q=yv5d50Y!yBVr)6nMCQB% zTL_FuZ7qt=ACs9TH<@J>KRwLrw}Sh#*7N$lEKRtoz{vOB5--*OL2<1x!iE2tfpzl} zEmJ#UO)VdIc{NAnKQHE;hzzG_0;DsfjtZAIDH{GHOQTO z@g`>3&cMmb-T*DJiEQumG-i1+xP7Mr1>q$_T-DbNQ9nB$L;1N|k^VwR2wFY(*1qBv{=Wyy*b9$q|C7W*~0f zxr~#@i5sjU?y|TyYgOB8ag-D{xrK6UB4Z79U)K1xxU8N><+sj#M&T8elB`SRtQkLq z3OS*O6-|K)2c_h3>0*1ip0xBS1$6Q$+No8eo2iTcDrT}vIl)z-$Sj*A4Zj6i;KeG< zYgG%{XTq$6D9GVvC&f)L@3#ivG-343@6T;hl^A(XKhtnK*ea?u(2tBDuCIf~BbQWp zAvVxIQ#@3lR(M)Dsm-EgGm+Aj>bRBnbuKbY4m>8%@ ze|QHAt7=BY*m|aFd3*PouFTP%xW z5d>j)=v(H!VRl@kd^DiZp-OATv=jBxHDBES9*%pqb70Ml&!nln3vm-yXc zQ#(bP{oR6>eLA4dU;L^-tC$N4wFA31mRJ&&7L8Hx(jiG+O%@3M>Mt%^G|WE&qmre? z03HUIWOU&%`G>Xi=B7|2zVD>@6bgu^e}!Nr`-xWB3UTfM5)zQ2JDR4pcN6^Gha8MA zW+=Y79D-d#Pw(4$wWi?Br%Z!0Y}t9n&oR2(;?sfzF$uC-)fAJ1Tl%tJrGuYIbg`_y zUUZIx{aq{rU!o|{o6xrY!x>g#xs}>7F{hJ}T)H}aK6R(XmMvEywz7JWa8RX!u;}08 zB_(;1Bn1Z>P7KZt6?%{ADm}P2iRYU~ep_rb{NJOy2mJ1q-Idom#piSq(UjZ*BjTNv z`>yt~Hy<{GRpi%{0!0;~A2la(4boe9Il8^(qo>2Rdv5AeP5KtINCo*f-`VDZ2}YZG z6`QFHxVagW6|r+0sLTi;N0A5uWW%*=@up9a3*&^ue7U3b0D_-7=wI@n@-BRD2A(%GwtD4wR9a(JG{w>0%&f zr1b;{mNUqgs#z>9g-8JlWYFccMXSYaP(E^0FZ66gwtOvQI=Vo zR-+!uEIn!2uT&NEWTLgCN3QdjVa)=&w-A07_hwb~TwgA3t*D@W087&C)ieTK(uSyx zX-p0vVr|%}SrFSiRO5np%7JGVWwK!ZkUe|OgbS~yJe}kEqnYj?$JLUCNNjMMzG|^D zN0QGoddOVay{)ezI4&V}gd(v%b4T^+JstBRzvvyTFuF%IQnebNm?})7$ePl)oOl|s zxFGSmyKBdvdpG;`s|iKp3Q!f1F~`|mF$mzi0#Q+mr`O3M3##l=3!+4!QL|i=U=iC- z7b1bpc0|kgXp1dNKa36DH3k#W;QdVpUrd2|5AXq6+sWHlmcYCBsm)T(4IomcyTX^8 z{3H|%cTdM@#&=L$K0&O-Sg~o5g2q+ymPJ4P4e&FU5T&?hZ6J#v`I;P=6{goM(zu`Me10alUxdh>TE zo@ol$dIpC|TIZR2mI#1MFt4xMQMN+=*YBoSDiP%K1fNYO50-W8PzjbwQn*4Nt4Rt3 zlf-qAC#jtCzvzicwA{Oyp^|~mG?LG{Dy_!7C(eV!?bc*rwU#P8?E0=x%~qx0olf9{ zJh4zD|C$7Gz|!2Nte>j5mauB+1%jD3#P6|Ym+kUgEj>TmwGz|j{b2*ud`zW>*?TDhTK16tZf?f)C}>R-zDOKd9XLMR(5|< zgZN_pW05Dt2_td)x4A7qa%<}uz2v;fq35-ED^YyVbNipYeNW~mr zuj7SxS{L7;m*(k5|4M$zMrN!)@!#NIhOhO4%cmKThY|7c-|FObAP|55cnW;~8+*Nh z^&a@K@uA4^HedN=ZU1m(A>brE4B`z?O9JPHyjY_kHwTjtHYCJyFm{N@Us9qVf*C{~>z0<8{@X|9PPA zPeEB53OoVKxM?G5J%o`-9j(N$6)@iEAm;|iCE#XT`oJ6V&z{c4jVIu;X<7zWfALo^ zC$$Ou?;hj|P4Vu1!CS*;xyDqgVCG5xnJV_mjI-QgiqEqXk0fcUwTQf>JHbuY0YQOE zDYU|(vAf)%I622&@$M$s#kP z1qFWdG?!?bM6m{`*0mva06z3xYX7_2)vf-ct0(m3bmW54okr7ow!F|U&2`<5Tf(Mr zA!`CP{+~ybp6$EfAVBmatSKre$YE~BF2n0#5&7=lJdyEuj5zQ&xT?-iq~24b^Au*A zlaRlWesj#GqbBc_HbkXy@Xw7!^Y<=fK8|Z>o0K!wd(w%qozC9imMDy0HK}jo{*$~z zt?^>fxFtL8K=U6gL}7$tq;5S|+=)jJb{{orAU>KTIaIBoR&qiaO`XbYnab?R=V=kN zeuPao=0VY!&DDI;KrOGo;sMq}w$*^ruu3fP5P&j|5Ab9K?RV%CnrX_Z{)lesnOIXe zRA1J9aif8~F!v8buQN5}v-~US!rVzDO(mNypz3SUcx1(?!DUe9AvMd1KR@QPW~4T4 z0s)(;LJ<4!F~_~#>F=B7u=4~g{9NNsXG$Oixu)ieE~J9u%&C+J$H%4N{rg2_Vj!T> z5gG-jqs-_pcKbagb;IYxj0WB2+yD{J=aX8%zY-}6^?37G4W)A5g}i%g!yW2+O+)Si zWcH8TD$LH_+xmQpUcgKZYwX77*E(H7f4Cmkez};|AYn&k2*ZlBv&rf@`ps7Tt@ZG{ z-J};$4(_s*UyFQcSo7E!!&8qKJ!hS(QT6t$3&b^TB`i^E+SV`abf}arNp`rH(3BcJ z3;Jb8DPAx$1g~?bWvZ%RL*X;n@}=%0bRs4e@_zI}m$3#q)R^txuAr-Sy`9IA%HKwi zrcx*D;2+V&Bp5SbpcpR@JSnDt5^tvt{#bEMW*_W_qqQ^~7b!$>aLA2w7dvexi`s-L z{HR0xK9lqqy~-kcCKCg}C`W`_KF&2z)}n}_~l7hha^Qfj+FEl_X+ z=5D8Mr)H`c`(}qT$X?+8R}R1eVhyre^ey3Wt>RTFDVQ07i{|rH+G-`A@MBe5&nU|s zrqU8T$jh}TpX~`^Tfpu=ybUNTt>!4L8`sjz)1o-hh>c1^-1tt;k3q>JWFe=%KPzwy z%T7M~(YC<%#d;_}&YkJOG+D9ZG|-lZA<%F<)iiyhqAJe{Fr7a@4VHP({2U1k1q5pC zK>AjHkqJk0=c*VG!vwtrl!oypDo4lmDn;oPqx^CRss3^O2?o(zG|KtVrV}*x0S<#m z3oN+3P^rP*<_j$W$Q?9;{#r?=<)@LW)SkH?=EPb-KN{BpX!VuIP_(0*o{r}k1fXl( zuu~8U?i){9Dr|n%aA!A9ncd8@(at_d#{F(=(}sR$91KXv;=~*S*AT|5iFM>i zD(y8!xK&V;RJY^|{a9iCkip3jd7y@2lNHK2tirN-J0cEwT$ zdVQ*+K0Rls8wzt|67Kq>{b}FGsulge9~Zub8VToK!_V>5oEcf*tmYY;qeYhQl%b7p zK!~tui{8J~nm}`16^^f3mg#-W>>42SbxInSv2fbS0#DQ}np8j66P2;?o87d7e^KncvJv$T>{daAHg2u1_-y70?Q_O)!; ziU(rUXCP;w6ccbwrv3X{g2gbsXc+hgkfoklKn{Ip2|@Gs2qCA|sRR9Q3JXDK3X&o) z!rrwIMq*LXn>yMKTff1WOS?(=mjk<{fU9jFXAMN|Zk|@jjfMT6IZHUR<$<32s8#1$ zF=y6{WqLYqZ7=Ca&B<_beZ?>33Ml)tlH?R8L<85v_j*gsNDOlDlm$CUwkU-MatAZT zb^NKt(0T9!RP~pWDSpovaCFBrb!B_ZT+duxIi_my=+*q&6f|SM3wB-m zHUklNYzQ$6v{(>!M&M!Qi^GIX=UNtllb>Ig9&;jJRyZ)IMkw$sDcdWq4-7fr68P$E z6t(3fvg+895Pqk_wk9vgqq~~YR{n##0E%}wSd7URvZX^+#v}O+kg%lOfbQpkXcGV% zF?|dTi8oTEB|EkRm*(KWEUjljc4;wA_Kv!r{Sw^M?*kAwzHhLO>cO0=do{dQpTbWk zH(Qc(I?fh|?5ok$#|p<{{G86t__2?~TFjHlCYVDcWy-;JTt`w8OCkSU{@N>l^N4L~ z<0oIPatrIRB`6=-pXn^}HHlqlP!)kTDXlEaeLwMdj@EZXhWdHl72`A!OfbtTZ^WKy z$DN(q)w8y5LWwTF=22Nhc}E8c&-0n5fXpXiTo6q(B;qI>v`43bL zU87r1c`)-SMJls*iLQ`-+P|ogrm~dQ=8BZTk^Ut|NH@l3DP5uM4%p5fhVOFJT($Y= zN*uuM?O+&iQf@WDs=m54X9S&Q0l>n<9Gh#%0EXS75iO*lJBPJaYvuW@%m|fE4vKjA&O7U3m*AGnvqP-XdjRmOBF;~1wzZbW8DK`|kott%L z3Gw=XqkI+6nEd9@PmhR7EZxXE?`8ZiM6vtyP3#u zI=-)Q2mu2_Yd#EVkivbw9t2xUM{L2&z{BxS|C{8tH48S8+T5nAO2;)8UAC4086`Q6_x;&x{ap6FdtSsEI%*)55H0@Y3Dy;!>l!`i zL$c1MGe?EkZyg8w7wiiCz6Ml>SKnU_ev`g$kunRNgNS!B1gvMeIJ6O3xv8HDcW(ey z06oXa#KQb$Uyst4KOkVq`#7fNgc}z?yT97@Sao~?1u$4Qam8=?U>fDbCp8o5MNT@) zvy`IH{r=hoC!UY8ehIUs z4HVom*LQK}V|i($-Z%?)a#PhU2$m1=$kBXI#!#&J*G!XF^RTR?w|K^*)E$$J6}7Do z)AKAOC^(z_Cxiz>mNQYqSNiYoxt{CVw;MXe?Te3HVQ}1~L%zEErpotT_T@d6ouarN z+WRaf@+zhJT(c324z0SLIeB@rPJZ16nhr54Zms7TKRd5s*d1t1KLC|QlK%-M%PxYBwfAxEAh?Va%$p$5MEG1)D`vZQf&w|8@5=Q=S(!p3hj zAyov=mAaP8^C%xstpAG}5H?V@}iP+hR=k zOW7GXk|1qxeZ6(}n&D=)`p2$L6JU0dob-pHwzYVJ2Fg;|Cpe(jT^ix?k-$s1KvwTC z|5QU;1(Kfn@ut`IHHW~b3B&ixaAC9eC@Ab{Ti1u^Xr!$78B(z?eJ71ss|X-RJ{0em zv_9n#$_ItbSp06h37YK6%xrx5`}w0ENR<}f+)BcvDT~FIhA{t0)7=dO5v^8xQ-YY| z>evp;@o7;51%~6W(9pfT3FyQU*M}m!`}ZF9t^%ZjYrJzmV4@W<@MyeSgzD#YvE$1_UMSqmJ{W#)JwSj*4r{3jG!Q?I{Ry=Yr_ z;pa*1x`*eG%)cjCoKj{?ldRwF{0p@}H6ZeB52gsT>A+0oj`gi*1VSvAKrA_XtZfLB zWeMVkx7EHJs*<9P*_qPAx(nAE4-bPzgi|ZIey_*MD_^XX41TbN3bAn{f&&dC4My@~ z&Eg67u|jvf4%eyaHVr}$ZgjIuPOjc5AMiK>p|dK?FZH3EwsK~95r4G zZrxKK(^j$kysrn>0`Dpf{cmR_fq4c0I5g|qt24_2_d-^4^Psr69sE^ESSO}>5FW3O z6hM#mloIu~CR#J6f@Z2mf|@&C5u=CS4u1XC3$?EQLjDe_$JUj}3eSmh>6>I!ar8O8 z!G!AdhDJO^g%|X_&%va(l;RaW{``w{Sa_?D2%hZgS2Ya+yn_s0z5Y*MWuo;xprJu4 zA<*RC`bd&fF@mtRejX~efZwwvH_D;}@Uf5wtb7>dB@8g!Y2+e}m!d{(=BqVmm?)2o z9mtr_CK*ud@Ws51Ufa0Q%C{P!HsODz34_0wl0F!s?bG0vcdzt+M8~{C;1_grJ|S%a z`^C}AJ3wtaWh5dPaCvL^-d)P751Tlf_o~2pt(EyNw`?V+m(}@)(NsPl1?9MIpz&D} zh>5%ORRHA@d`tXEeLXAkQRr@%c9xqj$Vd>4alCA}$rWVC5x+%we{R=|wGm$hK+Zpq z=c~4rc>LM!n_T0-h~l9~{6oGG+8@Crws)#hD49@ny%6~hxgnK-Na+4Eox~c4zwMe*0RZe2nJ=q_58J;tl zh^G^*^=P<mK)R%M z@x{(fH0yAmP<4zJ z&nsh_RpuARQtuvQD^&fO&*8Owy8EZAy4S0v)ov>W^wZ$*nR@YE)I@T&818ZAt=hi6 z5Aoiw=fd0Y7`s&y*sJ==90ls$M#wbuLfK=G*jJ41WVUk7#Uj0Y2X+ep*9te^*TZ%>)bu9rvysr%CUEdvN_ ztX|_EJ;~G`42z+9VX`_T8nku?PhpUj$ORm*TaBP}%5;g`I>k&6kEHn2{nuh%lBov5$+ZP-?`-|^3-^$hw-J7s`xhs&587heb#iVBtA`+RrUd*Ila zfv^=H>UiE;?*sRXWbrJ5TBLah7SRSQdlgf&zpgsN3%y{M-lVtxX~Rouk^Ke#kC$5a z^^A+&>$&2-)One&<4-rh9ihJBef{EX-9&7bka5lRcc|e9@cIQ>?Y{8sU;?H_RSBhJ z!;dhv<^eK|$j{0L1w0t_tl6Hf2(Q?4xu8q1l!21B8jA`C)_&$z(^T2I`|*PH5uw}z z(4T;&9~G>IbWI%3?)P8SgNaZxc2cKXuEI-RDq=(oB@u!qiGlY>LyMP;H6BAi$!hc6 z+MWU&0u5xp@57Z7!zY}i2vz!nATc-xT<)paGE=lf_1p^s57p48C|(NP-wJ14QPA{o z85>Tsr`kJ1jxfsdCwB-z+#tp3@(WLo<+0=Twu}WO?&ith&V9`X zbzQoW6qOa+HrD{TtW7r8^S}mL#Z`P<>+6)K86Ur$y_ddlU;o1l;^uj)A^kni*b>!g zQRs?tiN)zOaWSeGzi+o?dCcbq#i*pAu~K_;PYefLI@OSqxXx`Er77Q{;nAy>uE^=f z2k4dC7I6{G#W$h!prJ8a+q7}!J;;2jt@`zurrR_G1^Q|)I)U?CZlRFRR@_FL2Lpii zfvxBCv?}-RC8J&3*>*0;!(GR2H#Iq~>pIvZ`lwInX*YRbe%g9HV@LbrNwESFr<(u7 zMUyOvLbq)+j)i1WH=qm8N&gvG>=hNluUlvb*amb^j2@3>RW6i{tzZrQz2C_+ioms* z7z6MZshQbxXAc-htbg_~hZLF6YBE|U?&jUr$-0S~q{q~*!JLDqjKOmyiin^V$J_NW zzvGowA>StP%7cXR{9A`^bLt23vc198>dYMSn}gqtw?S0mHeiXTXi+@hVDS9BU zfC=oIJL5KxDiJM%FGUqVjUBH)@`WguqY*wE1<b~FR^j3?}GxcB;Y)6-xi1~ zh{lKs52v^IRlIV;iLik*I!DxM`Bzdnm(btqoA_ufks7MqJn65?^HmH z9GqGNn#JPj58hh~t=VFVLH_Kp`rQXpU|beV6s+<2A0(f{4cyWEfkpvfov~O2vjjfL z5`||sHPH?bH9iw-7jX5k#PO@1_M#>M>K9WYrkZ)-XbO8n6yQh)dYU8u3@0v2T&9u9 zZ;MFZq%2nA2e?iJ#t2!MnOENcYSJ{Xs2;I3-|srI^CL9y5>4wJxSXcc;_Ml4Zj>xI znI{{Nb>k2OnGUuIbTFx?M@UQmo(RgUe)I;OeiRL^!*nnE{u7*?l#0h zXlf;WUHfW|K&N>Em83|&b+&XU+sk5pFAG(D{nY{MC-;&xE=NlgkKm6KOs4I7X?O$1 z!{bbD(VOD;tT(rHOvWeVe~9%0c5&XnPZaWP{j0>EpsB7{gZ_&KjV#^^R_ieSsp*5O zS%{eqk2Y4cJm1l%eN`FZxaBbboyfkeZM@}1yuM$2ytBo3Ch1s}%M{;fyD$9bPXfFV z=hT`DA1f?(Uu)$+8J}&|X{*l9O#%o1%Hdf{-Ara{5)-)lhw_gLZq-t;Epr>hpP3 z;NnrI3M+H(#4UVqp({aUh~s02Nl>OFiQt1KVS}Y|630SjEHO~*%h#Y*4g*s8${5nI zD|mcvLe6IH1&fG`K7=$E|JZ=~k|f7LaN|Ue0^U>pQv#TBSr5k9P?b!*Ui)0jcuP5Z zvJ?-=LH{0TK+G(y=j-mMtndrB1`;vl(N7+o#MgB?wVWqMW93-Mw!hGiIvhHeJ34Jl zlpINKbOhrMD0(3U6@Ap_9-2u% zUiL}K;cdaU8#c!`atqb$zHCc}*OZ+v5~y8w5a+#LIM`m=nRNUfC`ju^Z-wKrG@q_X zKORQ_%VwmPv5nqeRFdK?sRU|HHs;6eXT#?Gt(G3xpw}8%6WGX=0 zA@njagCJ|gRQuq<1X_YTt<~V9kVSlJl{*^GcP~3CAfNRuWzOItM1pcyVrKL zH8tG5(DFQSEet}FuV3f`o1+7McCUVHv#86{xf6@av||e0Vrt#|4uz|rr@wum#l%xH zZ$1WHbf6ZMNqB-_tfCba^DxH#ImNnpoYGct%u%Y1vo|R`(QUsnS0Sx9?7y zKJI|%yozwmM7|A`A^9XMM$#)92Fsn&gTQE?zb)8>N~G;nfc4G9A=Zpm{tF>n z*vF9b`8h)831#UVsS{HRO1)Z}!WIQv*aq(7>B(DnKVxlIW^8wU4rvi|Doe(RW)9Q020k=8 zD^#tY_jHNb80|r+38EzQdax7m9CAw{xYE=ifrH!oL7j@7iMKhTLY; z3i{3xdS#S}oo|{v=xSYD6OY|8$Uu{(nVphKP@*U)QPEBPo#?tY5!pnQS}f5ktP77( zNyXbom!{h@4*Fbvjc*6iM(^=mboUn)VJA0)Sk*uLsT*RKG6{u_tInV80#hChU(7~C zeK6~8o1(npPOL=9@bg_?jPpRQ5iW=wbt^!czEU9?uLy(;`8g6wi|W%R>D$JKRh?lS3)5oVphdAnUljDoF9u=L=dy2C*-CVOAa;H7S=saIiK3%7nnixAA#({XQ|2phJ)6HsM`+GDd#+> zZL-r})Q!n+>6v8&AShDFPD8rBLm~x#P2PoY6RQYEm;4)jjLBQ#BzjF{^_FoR0-FeoMMT`tL8Gf+iGzX8t(ecoTS+qkB8bf42s=@b}}E z2$7&49Tb-ZPF3;Cwh6dr1Fgemon|_&5~~TC)R~z{S-=g|5ivDjl&~K7@iuhRDqb6g zCPKAb8`4_@CQq!GyZaLbm!cZ_46{ly<^cT@3!QgTuit#3%gawEbY6Q9Ty^EywoSo% zv$S}$Fk(?ALcR|hh5_krfV^FfL#x+BEzhNuFrcc^%BEHt!Ky?nTX$w^3W~7}wpD2m z;Dp+=*FVOq9<>v+#&}YjlqV`Yj==hA(X*@6@02>=<)@8@AT^=}9kgIWz_a=lpZ&SGs#Th)B(A&!8H!C-3*54br}qER!AY;0^iei7)% z_P;SRFhQn=d!GGQw}>s3-iH6I zG-_QHySWDO3a}qFvFF7;J&jYu>-`i{>P{d;e{aJ+xr+!M>z$9FCOR^yr6mheJEA)| zKj(7dr9g_r_FZ?v<|b4*RvTg>3e5DWI-SN)fTqCJH3RkZm*EHbdSMQNe|qsi4@zn3 zhr?rhO{;chwGv7RKXsZ|j_z1pYupn=hA@zL|9NO(ZBn)v+sMqR5{AVsto1Rs$5{$l zYz9SZSP(Ec?jf1})h}0qX8Zk>s4u+tg>5{qUMEpmp!%ZQmV`Af0WeNvcyBzYvm|1| z49Vqv^?)A;DiT$I64`4<`y<3=^zAH)&G_vA&J`5UZ2;6lYJ1;xvK*uEb+qGg2|+<= zP--wu%b=PekAGiX1Qk6@D|XBhi(jq3OfaSRQJnnUe*+$zuC}&EKp-K$>$~wnQtGu> z^73$A^n`veGaYWcZx#n*)>OY?%cqTQ_-yWvWp)SdT-Es0=NOgSG zsWGN1MvOYIpH3!Nls=0>IC$wFVH`-L^rvBIXfLn{aY9C6zkj|os*tIQ7<=hZxmyK`Omz?*=X zF-_JX4eT8bwB;!n%f9zl{M*n{(SrQt+K}w;3;k7vcsUY_#Bg_!jD2k> zB~=h=&i;!s<&x=|u@>1@vgC#mkLS<-=`-?XL?LBgz{aM|tmw(&{}MHz;`z?-l7g4(V*jJ0!btW2GjgkEYzVyS zZ<3an{GCX{y3bV1#lF?iI)Tc)4KM0qM^j(;nA7G3Z*mNdTJS*wvgRKP-8aQ&R1`ew z3zp|#E?UBKfeU_oYo+>50@K~J%gog3O*<@eUnwFa+f(*sDx zH6U6Ea3{;6f)o8^COTpX3rFQ;=$ha`Fv0(DO+0l}f=xpL`m;a=QTi@i4qsGN?a5TM znn~b%InZS4A9vtJO15K3K6N46$y@Yx;SWD^00y}dO6QH;RH@qQaTk@Em+$u{Mgc2c z%T>UWkC%gh&~H8gLL~95Wx}(N!^6~y1pd%OTC3Lr|Lv z&a~bu*ixfiVKtWd-#S+v0rO`hj<`KWp%6Wicr4Qs4(dhI7S|-(=pWs`2>G78f@_J47I1AnR6q| z5#2laH_Pe0LMw(ZX}wJE4RALY2wA_AQ(t>|7n8*+C@9RIaIhrnzdbF;ACNDG1lf5P{Yi`gS)<2grfZ$Y$PW;Bz5 zA%48Hk4mvt`@$F%EZh!=s!G%MbJe@z>!!t3ud$ju0e)=>dR!Q4$ZY%*Ul_4|?#>Ir z7S@Uo4}Xkg{+UhDgV>$d!qTZe8#OoVYkQ58^X|bmB~3izoEcTq%jxr~@k&N7Zee+q z8mv-R(H4EQ`y-`UPZRk=t1G2%!n8}r_1}%>eXcR zB_nK~a+LLfWZu%!60lq~I4~3Nh)1Jvw$JHzHU!;dbM!ZrB|mWd1J}($+yJs zpbSMzf*ly92?d2|@#E=%W9%}quxTcK8GF>W`oH!?v}1R51}iH>t`RTS))W&ul2fGb zt3Q8$Yx6f#u``_|ol^+U`b|Ww$`D|c)o+^h>yD~e5eZXI9Fc}0hLnpN_KxB;=^DhH zwdA~gm^9l~lB@O(9v6OK+^Jp9K|cb6ep;SI4<#HSQZu05=g_ZjqB6_WAX0f+U^^j9 za>KpKY;FS(U{cDs{Kb%Ef~$)7>}@2hS`5R=<> z77l=uhf_;y@3nH2Ska6T;R6xb;LQQc6@cHDz4?R5TLZ&?E%ZA0h862`r3iSFJm+`j zLn`oN_UH6UeK3sF20LfVXXvm%pJ#-{h&=xIoGAG0<_RF=w^GKbXz1}9f4Y+isI^(b zgp)5^Nh6s%hoo5C9a`jyegK1yw}0X1Y=J7jVV?Ie)FEKFz{L zr5*6&+3ENyzZa>d1e<1ck5E$BCA{#Lyw}BG&w~|?QKcVzFqFIOS@(d^FOL}3gm1C= z!zS*G6chZ>^xG|M2N3JS*3n7F#op9T+k0=%bs)l#EIPoIgTHAp*DR^Gi}g=b0tY!_ zhKd`{UkdSC7V5(3CEd*Xx4*%d3xO=-ODKHxLnF0_co!Ag@Qi#mMnzX$D(IfA=JhoB z_ZvQ$OU~Ndd4bZ)_ynydRsvs7hAqDGEKz$OxOfNOzU^~$7F*j?H$F1*E$!};tT%St zG9>VKUq^a&d~wp%`2IZnL<#O|!#sppE|{NiyV&do%4zg;8XjXB2`k>6kY9iO640;_ zE^-+eksngzj&6y%3G~08+@i3s#KzqK=ZgU8$$0H&KkC|aReJT0la6i5O|4um1fIU&`)m3C;P;5)D5aK(i; zyXw31jQ70R%`XRc%@s7A|2*KFt(IN%qV;6XwfH!1)^Lp`3QX2yXfr6raiBGRfnzCc`l|&bvP0Mf7xO+(rOq42`y?9SbKs zx55-GBKXx+ZP9ZsQ8N2ite?*%fsI?>FXGwlQv0{m^JULSXE!SO-+yC8rieqOUREl~ zp(am~xwLsrAZilF7%$hjf+{d|MKr(`vnZ|ff+fKwdf{H>)MgKT#GzlgQ@?t%X z4lZ8zl)-BqEv+>jgB#RQmxog^5-}e3k zay|F!kDdRm&AM&?_WD?m5flE&U~jvd9u5$6Jw;ob4o-T}{&ewk!DN8;}; zg8J$CN_hNF<|26FhS{9kkD2X;u)I31$XkO|@N#mKaZRL+{3qyPz^mDj%T@TFuSf-2girPw6d4YuNI+*SQD( z!(62|2NQpDX$6mU+KHk&Jdn3Q0!3=>-=5wr!sdL>oVypG`(CcDyHH<0M*=wC#di5N z9u)*CI21b+pf~U}d#)5qiK9a94e&qO5Iavnznoi2UO^vu(s&FSwnp*YT)V~-&UQ`hP-{xCsb~E>NG6$)mtu~r#_F~tNd&VIJSr=-p{@p=~-c6E=GJCF*7S~&xc9pe9Jd0L02ejGk zhFBLpAUmhT>S*5!V4qV6lU97~j0mXa?0C4WUKu z9WhsO@wK)pKm4GTLeVhU`z0WDR$dfXDl@94FsfoVAOT$scI3qnuEDtlv&z_6}=Dbdog%*w_{I411F z9Os8=J0Ab=PAS1u;z;nvGa+1J+@&_%ld!ch40wzo#~vR}l+do2IM68cx@85=j>4ND z5YH)@Y2?evJPi)ht`6c#5t;eOX=}SpheL#04HJ`|H73SP+hWI9_TY@?Hod|C-1Ujp zH`@sTAxs8FjBD1(M?8xkgxY#O^Du1R!w%{m$`5k-ckKpiod<7*{enmr`83ZIy|3ck zYFA?Un|a;dIR{p|rD$}<(|y^bkuGfz7j4{~0VUm?5uNe#7u%uvwj z!%5xS)IM#N3fqrGM(8et7&dhAdCJt+ z7(&OnY`Ac0PkE&~h4;PZmRi=YwJ@OrXcS^mMo3ohPR>W1vx4y8(J}LR$qI@elzW7D+@gY@LBl2p-oz%n! zylBUMpO`?QfNFyKM>_RzKNek?E!F`3T-}Wozv+K%3W<8Ko$6@kzRqVWldx~jP zsm|`KO~7!SK}f2tSHJh_^Xbu1T+9H-XhlrA{KtJ?1J6qBX9OnSV+!+FDLiYr(v;%5 zkS~?$bo0z;z3Ci^G(g3AW(;CQC`==J%0f9=7Uw3Bg_jSZ`2^<&gHOvT+L(e5oBsbf zGm;WOTxrSSF5?=1q^pq>yzm)VD-j=F9|>0rx6&7UvaXD@fRc+1$bi4~<$C7pO(FQI zwG-Ovxe?Z{nz`A+^;i)MvNTZG050zn+Io^wmPpGAy&806ZSP?WYVzld^i@jF;+4)1 z5&F3A!Jyf{L9ZyL5mq3^SbSmS9$Q#piksC5?(kwl%q2ANAAbksD-`Ee zMzB*m%Ua`A99PrSPr)y^(=dZXyxaN{!|n}ag6x?X z%Ju|AT3(JzE0r`Kd-rGm+zUi(&-TQRtB46c9Rg*sWK&{>c4@YXjPpu9fHPX?0EpOr zd*%1N)S*GXVB+#OnnvjSkY}_(fHxC`b5Vyy3Ev1e47BI!sgnmK@YV`a!K+Lx#iRLO z&ZN0b2v9(pPngjrh-tw)O3soIxHYfEu=rNKNzJ6vRir(ApK}MX{~7Z~6qgj0l4c`H zz+?SXWyunIQIW4s&=e-JNe-W{Bw?t*!#}648O@xdBW(TJNSg8i4w!b?JmY0oF94RQ z!{_ZaXGeyv#)dQPDa#G@pvPL5{ImC%HJ|OM=5|Z1)fGy(t>dmkWgD;UBJcsDq$NCj zp_%EK4sY>P8e#sYKd8bL`IXAlU3dPR5!ja5(tn#;Lj+k z9Kux(#zKB_roMemA3!qG`VNHnBxq=><}g*b)tD0XpeGykcJ$xzCXOn_--DNy4cbe) zZNyp}ceJ^yMQZ=?yCyfE8l)8UpwWpp1AIEE08nW!>ol$#diyZpJ6m?)k%mvYgs|-; zI8vj{K@xUsT(yXp>!UoiKn2W-lOe|mMi4$ge?>S}QUT*agHxNh(QuYQ!T2uX)gb}N zAje1nM)~CZPhjvChDd4Nz>|-$T^Nq=dx(!Dt=Yla7LSzrPW%13k*gARw!FHoTzmKH ziGJ#Y#z_`j_>Sk1>fHO#!|m;yz{{%9Ut`fLD33{cFl~;$XPU;SpI18xOaF0Fvbq&F zo2o)xAjrbJWZ=KwY}WGwE?|8_T26eWrguR*ve<%L4qfDerywDrNywrNI!NAktOhB0 ztKzs%$(@yoxF!vKDPpzZ%V1XXLPEQWu`43l#OCYI7sN4vzy=(ez+JSTQT*Z4dvq~S zTfODLkHNI(=eZ+svUZ)J1eyr3%^ zKoNFlQ&Y0oE7jCFyewHMn3W}`^xHnr!E0^P5sKDT;Qe$|cs+QQD~{ax!pFqcT&;_> zfBjVTrAARSIb0x|;U4F2K}PeH7h&_;a0;9cA>qo?YP8U6a@*CP=#1I6b5GQ)4|)SOgD__R*Yoffqhsuh#;+1rhpDvWw`*%a?#Ikg>Ym8u@ZV9n1NWNCDZ`Br z;p8bsyhxZ;*7CF=0$}ysmHBiC1W%ki>3zOBGn^!(0A%3=cGGY25FRQoKr#Foar=b# zFC9^^$oVr^FwVo3_uGD`%gvAnzXd2yN^hdnw>QOr$k5fRKSLD(UO_>NyrX42q2fJZ zek|1GJ}ofI>^}K2wpHJ{V~%wH)pCmm`U-$EUQbPhD06Eu^}n~-dGq^(@2oiZMtz6q z39_n|z4&ABYvc1EzKtzauicg6hkZv1`ZyD;C-zN+t&tyi)J|(|AQDm(7sQTUvM!=! z&@w8;KhVfO8akONsdL@;y`r^mo7L+F#U#kVINC+QM~0`ug)(cZV&av`5F}{k6F8Vc**50<#zFx5P_yysg(Q>cOp<4#3yNmd+CZ2GJoXHEc+3 z04>ec>~em}T>{65z4&)J=;?2$^mhBm{c){lh0FfYL@+i``;2vaPXf~x|1 z>qP6jErWERF75V7jv*f&KPRjeAwrj*bM+946Tu=PNIm#KAK zTVcw~b^+_bE#|2Jq+`j7sI*YPhu?_BkX3B=KZgCAR@M>ugnG#=194{sfKAQg3XrBms#Gj!PX^EVyfU?lCw2tG?5m{Qo=q85@xuw0O3gFirk;N#2+PoBLC)#j$4f zOxxSCQHRTL*01M!fvYz2?fIY%etW3QBe->DxlqEf=+A{~>sraN-^IVhmxB2F76^#| zb-O!ER=%?sqfI-sVYuWBWbcAo8@J2>P8)IW`blz7SZ5m z5QyHtuyE32opR!S0f7_@xgiOX$Ka3z_xNff2#=;D;Lx!fbqU#_t9OQA`OOCAZABE} zMizK{9TpkjA|fO!goW7~A7L-^yGD)Nk(GH;79{uO^Y;|#8<&9NWD@*pVt6&>WL`TA z;!Kkdt)RswMh372Q>zkSf8rNd3F|`9f-4*VvpsCQ&H%N~}_}?D0ly zKVb^n%Qr}8{p$u7^cbvn|Ix+g;I9jjUTwPzBPgpnIE6k6@iR32TcHb~j|#qrySqEp zhEOy6$M(SbNBcfId1N{Iefl`BTzbTZM+OhBVW;*=QCgHcJAMXvlMz4* z+;8r+jV&<-gN>I7nx~~vEzj#&-L!)SBAJTDy*2=wkWhwW)~O0z{0B2>h7AIO*v_ZY zPK#0c^$-E_YErUiXrm9bQLPI%R_Jv{D5I_%795{S9e$m6MY%8sC!n-JD*IHb|9X{_ zfN4oQ@SwNqujN}%VyX9;&WG*zu=#nrh?|fs=Z>ur`tpgoYkR|M@4lRA0Uuwl&g`-q z%0wW&d}kDpUxSYV3L2WNO3mNaR>{d0>O|~k&RQIGT}&YP$W_z8VI2H(c@#k|Sw+P~ z0x>@ZOXu^S+kIhl)^}pLZIH4)q;Ihr>FFZGpM9Hn9PVLlFk=6S%s!-IA@5{G^vr88 zdPh`!ugJ~=$Bdv$e#eeRDui$Z6?ia;2xG^}$*Bc@Jm5bKA%a98C8)siQ|*10!OaQ} zcfd|hPX~PEA7+eIAHr_xKKo=|#{>&bkr}q*sLN~E#KzCy3a>*q;Xr7^T3&Ihgvq`@ zww|=#V(4T8MG@|!km@<)&Ui&!Bcf+%Mm%powIU9OueKrsqJS>k{=&RaQ%TH__!$f= zV$~3mSEpZf$|8XqoUsrbAQuJ46P#(cJ|x{|{QVm`1i16vot+1)`mSB9&T|M2>Q%~r zzCwW#6GSc6LdnU*h0Hi5)R0&a#K#u)cWGx-BIoYtE|bJO(7ipX&GSyClUoZS`vvob za?UipcV0qf50F-2s=#hT8I+Kc&w;I90y@r41Fw$6#M+nfCE%#yOl6T#m0shx%{fB5 z)LO69j>Aa}e|NG0p065(H!k_#X-rtOj2G*{C{fJk=qP-#Y@zD!Yr^h|%V;I%jUQD4+ znQeNNfC$DdW}Z3UL3qA5A^Rd!3M}lT)ZGy9?4GJr$96d#v?9tPe>^(#x9ho~uY7De zKPFvE9;06orjM+!*=-(UU2?QQvUolKOZF22o8ThUzX2~Te4SBZA>m)mBZ~j{gEn(V9Tmf8lU@7IT4l*vGxc{JZdEW@&qY$VJiNzu@!d{D_cZ z5kfWl`-?DhD62ris>$^_96#Q2KXDa}YOvwy>q9eF^82&vwaS;Dz5c9w-LDO|JEf{( zZuT0fy$97#Z~ZcCly!=221pG}O^c?#^bY{VqO+39^l=Ntb~U4aF8YRFfbHNRn)=jx zwf9z0p~1)J^*Zxyo3QhtpUIo0nZ4P|E>^$Iy-7NpL-Cc-`3Pu7U3$%fnae{DCJzf@ zS(KdQQMHk%3`CA$_Z5K>e}?5U$=!{r5I6Ze;+t7PbyXl?tQ3e;?MR$!h%&^77{>TJ z&W7vi%>E4zpNN0cC%9S7K)y#Jq*T-JR`llAcUC3j2c~^FgKcoEdRE_w3*C47;?`*2 z6e>OHuxomYn{4bu7biQ55BxXCL}x$z9~VEO;P+>E69rui;{&Tv<7J+IBu(7a-zW5f zOH$CkW~%%^6APpA6n{PCWhg-%fvs86yMS3aqhiY|SN|(qCJW2+eZzlq>jesev|nH3 z5s}(7dORv)mn~4*H0o8F_igh@ys0sxMs+S@|M|j_3q6lzv#a^#KyxFppXLE86r4_zzMiuZr#Uw`XU7Z7Ax?VO1wF;U)>cx zM1C~xDtrqYVyYm_EwX#i<9=qsI31o>!MA23X{w|4Pi&g=YtU zo0lURWxu}#{3kFVZ>@hQB*aDtwl3r}`Jfn{1+8cu1qNKnPWSl3C!u8>V|$HK0t#b= z0&?Mr=19v`!F(?r>kAfi?$@)$13)(6? zaX#*~^QG|(A?u`t9C+66mIFt`e&$$ZWq(VzWRkAt=3uHn^Ae#nc78aU;4lS3ri9s z%x9MBzN^J>zLL8WHH?z0LZw%rakteqadn%mu|sjkSTIdJrk!Mih^P?GZ!vu8C+|g@ zMjq`6fXsPpzt4aCsRw2%eD=vZoT^qCu^|n$RwS%BA&m{wPguRw?kWQ>@V5IjBX~e! zEw2PkNl|9k2g$G?4925$Me$l5+hg+$h_Lrdb`}IHdi7Cfde*plivmu-9LPrF;Mfk4 zLQ#EiMhMJx;lg!zg`fZg}P6*# zPDu_jZO_0=1+zg^6^Hvbe2{}PismMFWxs~q?5$TP<5VyZ^`QM&$0|H}_<=L0_A}qe z^|#T21^j|nYgDKYn>Z=sQBEA&Ze2qj|UoU&34qG=7W_ zx}#U+{yxPJk+FzGZ|TLy_~WjTe696q8ylZ(02{L?YTzEH+C@TGpv}ODsaU~H&kOY4 z{L@3I$*s7^RTsOl@sF#24u9+k)kxQnWtJ-qiH68ar`rwVhMD?E+&_l@`zh*Mg|nsg z%g$~I=$bA+7VRaXAtcP!b_xD&%j0u9SNYMPrABQ*WcSpOA%@)Zy!8vNNb9?3Ge|US z)cdoZT)APJMPtd|e1NFl>2Y&7MgB5H9y$a#LX=Tz+r5>a?F+K9)gZ|ohJRie z-rl%%_i}gVm2L_6!8H0`%ZMbTL`|K3|6P-KMULBd7scPoar@FXhfdZNl~geA0HT=)lWRe!I39gIiVZDu#PKcL{)eiBTwiS0Azl@Soo3XwXN1eh6)*@c$s z4_19fpVg8dfjx;QmM>>aS9pOs^Coc#e8YjXu7d z1V&JUrU$cOt5HZ2zPV`pb-1;qkXf37P4zG6KWW)zwNkySwL@Mt>Wg0T*O(9wKBfz%7bgv`M#Sv}Fzud-0I$o6$ss!;E zKCtX-0@G+lyjhfQ@kGx*^#=u4*Xj0w;P}lyZDf=9(#CgY+p!oeIZf~xPhOL2LjF7D^>hux!i zStvm~9H>+0=b@0B%*H(zAUt>m(#>Ho1s6P3mP!SDCH3lbif&WZ!D?YFK6Y=Hu!F&w zLfRW<_k&My3MQsi3FJe=GYbIG7rlR8<&N~ z01>tD7cADq%azdKN)5Ui!GRXZiJ(m-X(@YR@`8@;0UhZO6JN^hiBnp|Zjsn>@DboM zPtLST%I$4@JJ#rQe*!3!g^JpY)_N-}*FP^qxr`hRZe#AMo1td<=(p3rD!=YLQTk=D zt$&-A0Sp{O$WG1i9B(CpL?=A<0pyD`pMhUsE+=b!h@C!cR3(jb9iiz zL&Ezs2!cUZWhbDIK}GQvMn3JY-jk1kv+neV+$Dg)r#z?vK5FQp-+^AwhdaeqhDkUX zqH0siT87;y8kC3gq&ClWF8XNBtv`JrD&Fdo*-oDsMgT7#YwZ!L*f-{;4mc$ z>Nq(hC-(Z|z==B31)QR)zH{z-;&?4C?hSh7yvOLhvLc}8XN^wY&Nf$I%ENea=R64a z)^eC>QQ!igDqnu@XQZyjM>Zh!zu^OjAxldFzL#8y93Y&kBZe#{a?cCDRv(~yrcH|> zs|0`CxOsKZd5q@ZIb8pFyNisoSp$Vu`e*;A5={8o;T%U_&A5oD5PHUwvd+j|W^>J# z$K7FE>_@;Of6qa-V9c7~&mH8VD6LyfbrXQ$Yw{5T=mRS(ooi2+MJri$GAAM;nN_VP z=cFkgL)$j_htw1;VP8NGgSR6nL1u)A_7y^uQdovBb}2gw68^LG?vsjs0?`|bANW%0 z$QjANFZ|EJzy;+6ldn{@geTnL{QdY2U0H*$3c+~C`ASMXlls0Vze9vwhbNHl>qsNM zcYD7i=%{aG0kwpw$m!E*D#ytN_Fn*`=K6)GuciFjx$wf6*qr$C@$wT8=Wt#k`C2Uf za@HzG#_Iz)Iy&kTDOJ~gyZYqu0DSp;ZZ&-RFeak8-dx~GOPKq26E6%bE#0C*6LXv1vpYBZ)Tvtg3|UGlw< zlFAx3$#5R!ViJ7|+wD#^da9W$Ax*6Ft z--smse)<-vpKjYu`)M(vyYEjOkd)3zeREC)QXfa*q>(M(DbhjPsEWfd9R@&&+tHv_5@Sa+7^ z$mz1tx|-i;V|aUSTg6*B{OK24*C*dESE_XW4eXjctK!8&n zG~xZ^QaX41axa9{P5#_{{>R(bLUi|6*WMn*Z^`HkpwHOnVatQYe1Qs->GO&TiY8}^ z8h6BVT07R>c(Pe2hmz?w;-2h-u=#{^l3C7|NE}+%?<8t<{Pa4e1XIP{(lt2r$Ek&A zl=k>RvD911_qy~u6HO0&oqQGM5zqbt)5_4KGNH@^kz;^WfHfi{kItZKtUao{#jO`SGA;Pp$RD`;KK?EQ*e zRNBvZ@%>MxvZ-PQ`*Mh59EE+S@A_0#j+DdK=V+T?`%@&tI57WcfkSICKN1+PqZXht z#T6F)`gz>a_wvO)y*-L~nPFz@QeU#{ocA5jj95e@7e#f_us-j$C&<{}@&s(Qyf)ZS z_^?-pTkOVE*MjfKzk6p!l9zWKkz|#Oc~gMZ5St!WjZ}#_xP}7mhCez?=8SwBj-b7d z_IHgOYs>G1uAO@W*-~qM=x}?yg^>wCV}(~GznhG9To3+6D$9B0E$P9z(@*qivro%$ zY2y-VJ})QwY(LVH#_(I^Mx}I0%^B1s?c1O3-(ENLJ)idWeo6=PE}`2F-roWvj#o}Y zM#IGsAN~d&Pp|_L+dm&f()uMVGB}dtd1wRfLr5S@gwjEPj{@wV$i#_$u&%w(;2j%=m1e6 z9JjPD0FqH>R=CH|Y$;=hnx_RTZa$;*`q13t2W5-k+C@NzNS%JK>GiNR$gOpeF}X^4 z-#NVB{R41C7q|MHXpc54V{q*V!`=PWDEHjrI2IB%4pJ}0r+m{{VhiV}6Vms2$o)0! z)=H`(^KL3-Yhta){Kf#u03y@gDQ2LkMjTW|i{bb;buS?f&n)Y)DEl1F!Mpz$`;R|t zD=I}$#L!imcwPvMSQ5XfemTyES%&0h;g-Atb#(@fiU`|%Z%5sMB*$k49Y(FFbONtA z@V5Gsb)3J|wC_PBdFwOe`4~u@k9uKR*zyPo9USw9k~w^84`G?FC{mG|I|x5}o`Sl6 z?X9zEt8--*5?u9LUxXcB={#?@kqbZfFy7Z8lzO6-z*tC*;Evxqfa!;6)1Pg%S z5Qa4LecI2U-b7E?islgrU*9$X&mSNXuQlF|HZ{_FBUEWoB?#vTLR+rk|9YBE5EFSn zj*`Pk6?@#TVSYOXl`VLbf4?htIh!rO>hG}b<9E3S0tKc-{c%M{Gm1Xb>bGaMJ~}Ia z8s`oC8YVm6CSDMuSJ=FK9#5CJ!1m|st<==_cWO?bF6SCn&K@5hfeR%7OVAC2>GS*C zy6=fA-c1N-trEgTQ{(NP?-^E6?$JSzB~l(+dorSx|IWW5p70yUu?=9*vFO8e;euHU zNAo3-(~*4!Vbe%hfcp)wk3semyR&X0s4Y_#*CARV(*(-l)j42(!$X}zNX&-UXnBD z>u@}^B&SpCe(6l?^LNWa=FV^-%L0c4ITa}XJ3WkQOl_OEtHqp4%)}>$DC?QY+mSMP z>v0u4?CaEnIz=3Aen(87Za2Q@W*6n3-A;019S_^6*u{dn*PBwe>(q)Fc?m?5rYc)) z%zB;#Z3|kUuD@u%WC84A6RSP7SibA4C{Zmdl}$kPWbC)-=kKghL!oDX@DSRgT$#GL zde=aDqA+R->;6s^+g~{fV0zRjawcZ3+21c;5QEXE#58{Rhp?LHbD~xnKe37J$^^3+ z3xPUP7Y1ZbmNgX)YMjHxgfEqB5?pYl8oEbEDSE_$7)3vwYbj}p?~Ruo4{DS;oh?X4 zcUTY?2ZcC}nA8?WTojzU)gALLQ`WfD7gC!uG6=G@1zUOX0t^_cfUKuj-H$(SA*FckQ)mi z6Y|!9_dVg{KFGbnVM<86Q~1S_eS{Zi{rkkEU^!)Pj#gJkXP^Hf%|&%e0fx1VBa7%pGzzZku}xZ&9uvuF*HqLz~{l~ zcsUs^DVQz9vk&ijnIF^&%qpqt9iF@H+bW{5)vAtCo8WpB1dHWk<0*;bxsT z7=SXFxv=v;@$}ets33+pL$(EwoJDd(qmkC!`?u407#lfgiI&yMb3W}j-7t@ah>MD* zb5;4CI_ccgO2L9ChK%g&KE5zlJC)SB*`?r|w zJ9k1NHw^U?oXUU95B(@1GG2JD+i#ju>$BEh6*Xa_M`+Y?j(~5d4WFAA#|_nL-4a z4Zf{=U@G5<*P_#bHakkJ95)Wq+s6@g@-Wa{&cOTZwKXMb3T>{EF~e*mASIV6r!~HF z&y(FJ(r+0c+w{Mt}6MR&$$gFE%uq|m2x^;YW0Aa=t=1IyZ$kK$Pb=Y;*=Ly z(s#RtORD1WP5wdil@5AUBT~Ah&*^t|D-IGqL_wUQ&-G-E$+%_ zV897~VQ1+C%C@Nd%mOLmcAV;&IS$H#^*<-n^p=yLD`B3s`U@+`X(T0|^g~k=QwMp* zB?!L8;KZvYXKLDaOEAAovIs#OqJq{$8T$)n|8EPD(|IAUOpu`MrVkUUh&&!n>oVZ* zn`;HAIN~D5#r=w>9p@t~vy8%1!w$0@f<76@O;?T4y$wD><2+ zeyG3iObuyT=!?PtWbt&iJ!9-*PJ5hZcezffN9-E+CgzmyNqqvXt;AyeYs1}aVMS@O zVOGIvV+bDzDCzeNh>fz-Rh4Nt1;x`$FJ`HD*O5Sky&$C~1B|Pr*||nh++vT7Ib>3a zC2gR{isjFmn|Gomx%4$n^ekLkT(M*Ru`dM5#5+AImVvX%+>UXfRi|M2MUqcnhc z^w)j!q@B---(Oa(3nNbzbXTY;BYFLDipGt0Y=ms4*$N8qd6>2rP@XHdL^&r}`^`?Q>mIpziz<5k&0R?WNfWrMRu+pN`%8lg@2U1 zE87Qy8{0w7p08F&_OZLCP^zx!>MMP#hlET{dUiTjbzY1R9{4${S_$d(wCxA<0E`xj zu#8@irzSdNvQBasEq9xRLPP}v#@fGui_tei2OYKK?#WcR!`3CuMJU(u_N1$vZbq9A zvoMsQ+P_GLhgY1m8LN6JwA2tol@VY@*bs~98 z3?@6&`KK=*%;p)ja$cO}j9=Fvy8)l{pM}yfLX<{gkB{HCo7CU%x-xt;yD?@of3eyM z@BM4TwZ*0QX9;g$qoQ`*?;3(F+kUvQHBr`21eb92wh!T9BTP=(Z|PN=4ZZ$TD_RI& zX=PJHGh#eIRQkz4YWL$HG@29+RLY3{bv~iZ)Z3SUCi+m9My>KE0Og{RUh4azlu9x< z^XE^ckd4^16vi3x>`x_FcX4YubnI|t2Bp4wDwn_pr~FLYsv^=R^V1xj=5u5D4V%mo z=abtPw@5_Ix8A@LMeOD_&o~Dk=eu8eCfREm*=7v&74elMbA&{Q){p<G3uMSfI&Jgy;Su83n^(%)|LWA})P!YBF#dm1+1uq1kMbMSB7w!5(K z4*W9H2gg0s;v{O%iJmrEa4Z@T<3AQwns(GS-s@_dheKK=v^W%ZLar#Rs}OC(0>Y09 zlurk)r_2so=+fMu@ET!e2Y95Wn#(fy#5FBW@h0F6qv2H$8jo!H%Cr^5L@YHlXz997t*k zu5R#}(0t0K;ck2TN9$T#e1_51Pt&C-+S%)Cx#3&eIpl>a4Gf}z@2N9_8@`s0h6^Ms z=dxQ3=z4>zQJCa{d4DKJkUn9Kv3fG*g6dN?SDYLAI;^2*%=KRuSsV*tTt|mTi->F2 zaxb79Fv3gp?X22!xS%i2*F{_qjIWHQpdPkHGjvV<M{qOJU3mc3VZp=;tyj*5s<)ca-(Ur^2C)G4g zZbgYQdtK*V*>-jqnKEHCDq(0asFdiC5^+H>DkV`c&j}^V z_b=@ph3W74Z8_0;DRO%MdFqZa2 zx%wYR=fECmvj*V_H@0ot*?40+8*^jZwr$(CZQIsvY~###e!^VS{dV_LRd>w{97mz5 z2*oC#MG1_3#r{4c3BExpv;C+L7?>X4wnh47nj1Y0B1R}Z*eumGS~vMlqfzuKjZdnB z2j)g74~z=a^FKhc%>$NL6GL>??|(=UG^SitIu1POwT7h1So4fGDD$QvK9296*BrI> zyzByj$2`mW*$+Cf7~Vls{#d=bF>P=nfVqxK=#s_Gn_Vg;QRq$j!zcxzp$+OxN@Ooa z8Ys4|oHnKS*)skC8RN3)6Btzyo6=1}fQS>3=C;`jf^=6Wm3QzwOAQ;gLz0YtlrK-*$2u!Y;!mMm0+@^08#|1R}d02m*7^!NmZY-L>HNv*T> z;<5y*F-p}pDTnTX00gQhpTW6RI~nr*rcTdYM3XI|emmwXVw(yYR6ij8JYGI<S75a#c8pgn^sO@c4JpwY$t&%%f{JnOuXhGuuK#eaa) z4%@MDlqbD%8jz=AZym3#WV-hrMW9fa$n`lZf6vTnJ`0ZG!S}i(l~w&m_1xZj6eDw2 z2iLOh`lhXn8(z%#}@(6T(O z{WCC5R7A=AJ_pq?09AyYysW01YtWC9Fg8!$56N)exFw?e6R{Rja_kUhXjqqe@P-r3 z#(-oBWqx}P2($AF-X6wXip+8&+U=5uWT4xyX{O+rKw7nmX3d<()E(#rSgP)ZZ}sp z_0-xbd*2>ChSK8QdxqmJ@FXm7m{-E9+0(UZ9bH}?4_`Ww| zyU)^w3&_(R|31Vwr=4JJM9L+&G^Lg1is5zeA0=I)z_+&PSxIg6zeNKDO^NL{zRNll ztKix4B(9Z~Jd9AgH)wtW?5W)a{R~O4CI`ZNf_^dn`j*?(6#E>+6*X~@VWbl`#Z_lt6i-& zx~72d_E!Xa9nTxwNH%2fhy#g z^{90v0n|yyKFYZOjUhdh=3*2xvi-W(c$jp3y(%?^H1c7i)%bLm0h|JI8BO&2_O>`( zulGHmhglO%9T^JzigW>y=`Js{Uw}2TU1es#8_Qv4oz7BfaIUknqNIqLyw8yU>lRS2 z2jhpx?*=sng!6L~v715rEn5^1JEgyRw`UYBiGgP@EIw|wPnt9)&;QVmHoSNI{^Gkk zHkldwgg-c7|B`2prZUk)nTT8PY#6eeT!?6@`voNJ{#|brzrP2*XmtRkrKZREX#&P? zeZs37^W5Fh2P;fgAqIsT)oP_8=kGpEnO<*B+^v5L+|*_pe={=VXlwHVZuYs+z>%<3_p!wXRDJZx6d{AAAn`ZR~XEn9E}F4Ib+B4S1BY2_X^LqO&j=Nfq_ec2{HH+tf%Qxaax+u`d83@ z_`U)5V>L07y!^-7=w~5zrTCr8{d|vR^%>V`hqz~>w-4hzPK{SQrg+xf<7wpFMze@l z1^^q`(nelJeC>+*-e*szYodPtikke%J@UBqngx@_%~sa5$8A*`cP=KbC7ZMGjP(X6 zjwdE20;7L}o{8O6&VmC1;R zL5d?XbjUIdiYnC^&*hpyo6~FstN|y2fLZHQ(_a(E9=H2j zHgo&k=WPPa@6~87Y6VE)RcBdkx_Aj_y0E?+q>b)m74K;;c=t`ZN-|YO8vbIkJQ#RS zZVN0j@@ka4!SqC)5am8d#WctvhW3-I%28v9fRMUoLSB?Uxf zIT$o#Rx=C%%Bu|5UC0a0nE7=TaigHL`pk9J@9KZ*7T!)%iI<6C5vldX`Jt{f1S9b( z;mN!im`X-eK@jWY4c(QWd?_J?%>kHHB#I!c;eUd@u^UY(Oq!HrOx-cTQIl)tmKJSV zBj%l}dG8_$=Qdtmc8)77!yImdPgs( zl%WQlZau~<2;ZWO$0|keYp-IC8PAuIYkJ0B9?7_Y%3||y5?raUMAXnkY+MFcx@Uk+ zhR09+t9{NYKXcesSbZDv%G$ZYk`QDfBVEqntZHdp%mg#-V6Z*s@PNE|r+JE*`G+!* zlRg&7vzt>IW(MvmZLf%iE@qXZ`hRvCqo0JcZ>>jH?5utMDf%4RwZnL=ZBxvHUl$h_ zA0K$ZwwbkViDMGZ{0M_~w9r5N#+B}s+6~0s^CA6wPdVP+hy2DzHPPY_cspW9cG?&f zF7~BtDr;ZRHqO5v^}gBt{_{=(fKwU)jTFq^|N5x^`@}$_>*KE>exH;597}Nfa&W|uaV6DBfs z?3;!;!vg(1lj6wFt)Zu@+d*2K^3OSn(Oc$6WJVgTQxlfdtCrRmMg>8`Nn8F$d!6s){O zCY4~uVfR4am87;iitJ?U?kR;6Ytk)*A`hHGo_$Llbnrg_5Cl=(0km5b88V2OD?#*C zoSO-tnzu!!gu^(Y+Y^`N#m(WQb;3-sY=`aF=oIwG37zP=VAKZ)qty@&_m%!4(G7&p z!}h&0OGuXK^}^oyI&t{EPkb-%y32F;9)%l#&Qxaw!zWD!(M@ELzU0j`-P1`Cwh5oZvx}n}PNT1A^LmnL3*dFT0d(#f@9M18?rn_L zGCsW~%X$mxI0649ayGW782W;Bro)3R%IceMs3(`8lwztj*I+R7nia0xXd95u&OG@T z5fW7ZwtYab;C z$J?W5&6<|QifWruPS zmxLp4`RBxCtIefN@5@1?=JhC{uXb!WW%IEf9;?t+QQKMo{b@I)$tiGucl^3CXWXqD8THdN$<@l< zvWEN7Yg-IR%+Z`wXgGNF_Q4cc-^@6*#1D_<;zc>BdhLPwpy=?vhEVB{CGgYi9^ZHIIUH4se2DX8?c~XxYVr}kBg13Y) zLee-*>o^&jE~>3bK>0UZ{#hd)T^oZ;^!OvPa8?s;s3i^I6U~Oo*%Tn29EeLx%$OYR zhuubJ7;%3auY=~CYZEK3){mW9_khEW@*v4}-$OWN+J@dkf(!0mmw&yz9hE;-eJ!hs z9sO`{&~PFlPYo{&+|&2>lhCn~P$48t_Z1=AIysu==jxgVy@-q$JYAlFZ}M_60pjNW zdV)O~reo#ZedPY#bhzqkWHEMm(%g(MSF!=#TYSIx)Rx~N=Yqr`>)!7~4TX?LmdPFKSxggXw)jj#1%o7?x$c97eoZG}D6SL3*jcg#Mx;lyX}J7`K_r;3Nh8do zL&hS-QJ5Xg@>!sPv1qwNX5FVvO=SSKPQMscN=#&4z!D8#ckwC5T4LoMS`Oy?cORmF zJ0PKa_+UL2#I>1X)oJ}56pY<%#mOx)kiL#fzx`S(hc) z6UFb}taRwH>H`1~o{;6-WjJuINoD*|?;0+a5v)1%zk7Psv}7Vl(h%`5j{0-Z6vtqO zE=|_qkQiNl0rM{F#dbg8NlZ6wJO{o_Mg+j$m8G~d!!p*H{-_h1DZ?SB`8$ zioCOMR|(^?1g_A?q-!HSRk4tggJ#txKmh6 zJX6(y{P-+%@7PlV+gOek`D7VmhK|+oKGC`LDuJT;Cc|FvFM6Eg5g9XQQm;~vELHzN z)r?xD3fDc9+6Z}wVuH%@)Zk2=7!^Z8Z(E8SH7u&DvT!A>byFbwzdi)^iNLhM=9lW{ zr^)=D>t|}18slppx4&0|+NZ6Awz%6n>e$mT0G-z0QGxR@3&bp2HDdQKwe2*DzmFen zqAQ5L@x!fH^)2MOE_z^ps1Hu@EPdrF_k0;TMShXGXLrm2Y zVaQ@vPviS%PHh%w;)%gi$)oA}!zs3aD`=mVOmaWTxmC$>1x+0RQDkVv#nFQuDL zatd9cy~CZgicR}7(I6`AFBx-H&h>xTpSSKmk~e?oud{~tO&f$JW3g_c62-9TinR}-3j z-V_ORWf9D65+wSSC)=?-AvY6t$dqHDVqB+2O_vw%%0Nl(ii}ClAX<*M;g*hyFpAx^=SU#1{D?+Kp_XC;SaYyzOM6E}9;qdCf3=?~Egm5aF z2xLxf)D#)4tGhBx-Wy%cE*at;o(+)PYm5E)v@)S~H&HbGxSI1cHOo!pEg<&uCs13` z9KbL9D*ZQiLQ@_MwS+QX@>+9GVz}V@_Rkie&JpTLUCdD3flg#E)321UUl0uYuknnaF8JFr+|C%GY3fA%c1jjU&dKs+?JB2)M zww^J?W>d4$o^6}*sO(mQyDCeN`qg4174X_{NI#cXvz|MzPi`>?wpb#zQtxx6O!&NQ z*NyAVoLYGPn<~rs1AVjJ8Iwkko6Ox0F_Hh!Ibi>RU?aqb1l~=*t?pu)N)9uoS}j+f zyxIP}iq@Md@}?zqF>C{8jg-up=&%2noZxlWrs0x5Yf}VB{b-rXNTh#LYr!X0zhA*+L(i2 z?zYm(Ebt%(5-pGE63E+h{TQ+W0vC@+8_7~iTf>OrD7-!s9}DdSGtbDWb{=5@B8%h3pjj>jmP?E+o@ej+}5Z;j^3 zq$#Q^p93B5#`8h-Wit5{GX{^`t@W|J8c9>J&@fI%%kHcQNxt({PX<^A&BgY@Ud3d? zcc;bdCu9D9;XlG_4}~=qw!~n; z1iCb*I&03~duEJTuixqE$$K8F5m(NeJKGn1e!fYG0KIKyL1hcm^=ec0$UQiL$mno8 zn5!jXkWlb|*(7a{C9Z*n6zM*O^%l`X$x)^TX%F5b!$~_SYwKH2uf%j6? z=OIq_i|*y}_&b5(oyU^P@U+ERYn%MZ{6|HnJe{l_(lYmtJVHo7>aG`<{<1S*p&}4A zQRhgzaAH7o`}5-?0of-c;a8hjb~LrJVG?nX_K%?W;I!pT$sTr!u1s#7FlM>%KDG%Q z{{W07b*MrWA_M=D`UeSRf_j*UsKP*5i@XF9Kom#3EtxEvs58Qf|I!2?vhdvPs#nPp zmaW`^5SPza3U-&pXA+3{qjyN>7p_7yJ&XJG_@b6^8?q4euXcN3A}iAG`Ch=)fmabi z2H{1Pkk12Lzj573N1U(EAHB0?yg3IfS|D#Rjkn;kY><;c7`sq5beu?=Yo?_Xg3~ivX~Fd`SQck%9t1JE=(% z$x~VX1z%9G&Ph4^pA%w{Azb1v>~3n5iBW^GV@bPuUiDo>l02DY#}H3~GHrVYwkF@d z9Wl1K_rM;&#iXD5M4Y%++EffdD`lI9rIq9+$YSzkT|y8 znaF+*oYNXh9iCi4+Ru`}gr!5rHJYP{t>ZvmE0tzU!P!v2uy%aKOxvfWmzjxxpm0ho z2x6T*Fv=#|N7LF1iKBKZs?ghwTwF$q)uQ;;EIJ2e9+i)9fyCe4^L`kC1u*)ux9hxp ze?EWPSKswM55{87vL5hIW1J_XVp8=pSEm8k-$`8W#%DqtER8>TYe1G8TI{@g2BWWU zKB=Bwt3+US_hjb>y2OvGMb3FhJAZq-sJZF;WCUj8#KJrU0iS6xX&D3i;zttg4e zj@6C%4HHcVPvvh%Mvy{idy(HcU)DRl;d_V`JTxO=C=;QEA8!6k)r%Mehr);Rh#3sO zlz>tq)`}??D)jWfj|0Qo57*xJ{exFbS!~lG zado-*V7^fNePH(5QnlN4H~M|X7g&zfc_&2wU%6CT_v)YI%;&ya5!lDWf52b;?NNQV zYCX$*yt!lcoRMYAYk1mGX(A-}eMKkb6P90Gw6z=`bc zd-raoHAUZOYZ>-m1XsCA$aK6Zt>)P4;?ld@|JIl*TPdI*8Mh=Y7+L|r(dFh_QF8=Y z6*4Of?V}0?g6c_tfI|qLau@DAo;>V3^)!0Rz}q3bOQX-~8NZ}1IOeq|;>?lo#~JrQ zq@wV4zqH&g3A+fN?oe__d+Z~5z}#F(YZ~OdOm6n^Rcb131L>ckd#rG%EB>Rb1f{@& zj5KsNEEaF@PKM*GO#(|wch*bjGI@iq%!yZ?NYTb0tM`squL|&;Dz42Yf@2PREQVE+ z8-D93?&nbJ{-Q7RLWjB_6u`>%P#}CI6)sW{!jEM>%HZd87P7G;hvN7;6}vEH7f-eF$B8 zG40-*I1q&JYx5kWPkOt2sO}z$qJUUPck|V?2t3BI-v}**4&QLK+%SM!vIvwl`abyX z4y3v|IN=>D4v=SDtk>M^Kf|r+1wN)n4ys2}U0@2y23SDE!|F5Np?=rX&_7> zvLV1gYUa&wv3IfvPyD{Q!2OwP-sIcbKAr_7C3l&@rkZ#TB}Jg+&rzXEGYE;YRTYQ% z*AXB6dgR+|4B`^erJYS}kJrju$CBX(J?w{6X;H82cV z=36&q!upVr9o8$Tl3+%5gq5b+w{4BpAgpN`OVT@te^L|u%v)OmZaOB{rjbHsl0r70 zn|5CclHML8X>VSU&ho3BoP5R}9iNT>o3We6tV$ainNmNDGaZ2yBl%H}&IN9eO~BX4 zMoi@C*gado!{KJ3?Z#VEYJoOxSr4~jQ=6|*ob)ot+o1~p0su&g2&w#l*-FDIE+t@0 zS?5&QpkQWw`;Sy<>wT`(`~BX#n^N9)_8}Wv^m@Z3#^1X_`kyip4>}AKW{~f#FbL|6 z1u@8Wwjm&_XuEv&mzjUgF?&(0M%d}oFVkqCm3m6ZOZ&piX87L8MF#TY#%X~7DUWxxw(OwkY# z%m5g)3_sqbno#~uYxR83_jYGKkl+(UxYsQO;{wa>$uToS5wD0zASZ#-_VVB*{6HV3 zNp4o*I+#;Z()*K%e$OZUMNyGo%~&L6%fUEl;H$|3aTv@u$i_b5$&TKRrWQ`jOBiSJKd!fwp_qF`^?BVQ@d= z2#}!TE~dXqL$?E;q=MrihtCBhNWbn3;^CO@eKv*3Oaot-jy5jb%9w%GM`u6(#liP2 zmZk#pjKc1=HQXe3GdzgMU1->!BnKC28jk>yz%ZsKx$Ridfsh1P4SRYlfyf~@tkiaw zXtP+{%&(GJkVfPfReX?{tkhMU4e=37tM#Jd15(g)(vRLID)|R=o>8ykMBt5r0gTku zW$3m`a!LVL!W~`5P?K%p`n(*~Om%@R+U${=*N1?w&x94AUX3#M=7wgI?jE3n6nYht zbadcA8}Mk6?C8=LFDh7w&$)R7_d^6kIoSlQ!$ARUU03AIN8K5pm5@t+9prbiAasb3 zY9vRvP5-dxvi||v5y%s#eZ&B}x>!lCANs-!))%s1F%1k%+8qa=BNSN!?c`9x%tg=o z-Y90u{UWvHPiM*J^zKJ==c+{i53Y9LgM32ECjR8|beEG{ZzwXa*n6~|*0jY^g$Kok z_Ls2iOyCJF{md@1kUGi68?ck1*MwzHGin|1g28@1oGe`9y+V@O%aumSdaGGE2Q-7a zB;@sd^O)O;2X(r2t^CoYD$7XfX8xtyQdqt%HA!xhwa_W};bNydIC#Q-s$*#dS zEQ>bDCzM$xDao*Dzf_!H>p)fJBGT?QpD8XR7`^M-g2^yB7_y6S(<1fCck*McfFcW6 zQWFblp^<6@l}rbZb!e5b^?TA!$o5lZV1#E+NBsJ7;?N_0dSlqoU5YU6 zA9{(mv)ylqlUm)_8f~o1Lznta#YTi3b`3sE(Ns=kK`(;1=IWz9RYu?O5?7ty#XOC= zWX98Cj`)GFA-rh*L#oSnf|0(gj&1}F1%ZqJYIE^D?#>D!m56F1N+qR;`E7wnL3DB~ z7O}2ezmQJqqQ3;fkbpw4%Y&DmN-Z2`a0q;m{OGdxXw&c70vEL9!*k6qJdJMyhi3yU zn?A8!YLF{4LLKR449bMDaElWG3>Nv5#v6xLspz_X(At z_q?RAZ*(^6n}48b%NbZ%U}}QSXXsTod!QmEc&9?ca>ZBm#(QdtWE=;EgNI^~o~9CU zNS0D3;%}H@Z<|&&?O1=4G#%S9*Dg`9+rK%y@-@a#9*^dp5stLCu(GWwlnwbazNPwU zys%h^W^;6ah8mDCv(;+HE0A(z%?Khz0~6{NLHqI*wW;$#LVe6tLXdwey5DWyHUTBO zIP79V&8nV+dk76tQBRF+5ghC?n_Cu$6cT!lCTK@b-R9%jUQmzjjb=IGK(`_{W%*3A zF-LN5KdLQ9cZJh-j9XShT05207#%Ih=kPxA+vpGE`WHcqtFfkQL~5V08j??@uqu%O zE<3D-k}x{5Uwmm&GDKl*VtKv*o23d6zqU+4SNwRU9?V|_Hw|SAZ=spoRzG)l5#amy zHM5Z44Fe5Z?qtY9hgql^U+l8Gq|SZcG6-!PJ$b)9#cNY^my^sN3*OBFMvYpVIgt=^ z5-IBR-y6*&Yd`0J=e>0y3zV6jZu@3NQH$8H(0)rlQl7Kk4?kvf^~q>3Vr7{`6B3tc zW}M{)q?{yK z93hD8>@gMiDE$V1OlAj#G1vuGR(3)Y3pQerUlnLJrR+P&FA+ZK<^83f3<#M+VLCIL z{=qW$)C!OM5^|HrdGpM-U}vaD?#SC?4R*NI_+{JkIs$V=G{>lpeaZjQqU~9(t7o#b7NAw!VL5nGLW6(_6Oxh^Z%mz@oZ9(~fg z@XSj+JFG2tm^+kwf!5{n^h%bpRcEL; zFKuYHkFG{#{M4yMNw@GAL(9gaQ#x_ym^2B0 zCue@X3B=@_<%V5^v^=1L3c>oJRMDQ;RvpL-k&bcM8|B}y1zdZbo znexsEqTS@E|44^|TeUa>p5NjD1y9MO0O8HUbxu>xZ1`Qnp)|?1OK2t6PRx9PXL0>a57y;t|^+FHFZH zu6eW%iU#qcz@!563cRQc!3;-dIXplC3(vxebWA#mCIXqA#=jL^aUDuj5~IyJ9=yx6 z!;B*&R)JgA#QLHm14I$WB@xSTpHsn^-VBjy=F;$qes+I)_v8YZc96O9z&SPTb@AN3 z8H99RIAiUJSz=bZb#A0MJ-K}+qE{TUEyL~iDz)EeET?>K4x{Rq1s9_2$sY5r{f?Z4 za}M7osN2mRfnU;3;5#!a;8b5-d(?&1EWv<@71smR-{MTGV_d1`SZe6>3=CXgZ=uE*^+hNbW)9;duaijbY3<`-3-kmB+J%pOU@wo*I^#?Frr z!5`WG`l=)$G=FmMbeubNUMinWL9$_;UHx%oMT_LGg|k#eo65hcSa%aPU$|>9p$EIH zCfNJC?8d;a6L~_WNjIJ(2LI$xO!mcK+@2scgH4{QsOn_T8SZR`ZK{soE+Qp*iVI__#OX+Tp)g*7hhiq^X&KNX#d?D z_JMjU*ob;d$n1-l(+hHjgPP|SUguYFA}G25HD28CIBO!}vI(d*ic<8`achU~KzQov{Cjrhl9wQI(E zj2wyCp&MCXA}xoe(q$$}xW-|qbGCwVGbgL{&+QKG+_Y89>F#qRBf;v($6s;Z1SMC8 z2FM#=N}~S|*5_%R(Q&8Y)N#gS@XfsEpkyTvR z!4-Xc9fE>JX~@LqI732fmkp4W{bXB0GSMP?N;w0v~n_lJ$y2dU^kq;qxXk>G^K zA#uk%b!qP<06`L|v=wkv1OH&FN8`aFykfV=_n z3cYm44@frx|FgO-Q+ciF>@wl{7q!UD>t0oD0vEH*xy9~Cspb|fu>67qP6nrOEo8W5 z`Dg6v?GA8T;WA5!5&&Nq`LmnWwkOooFtg`Ct7OJ-gxxp2KKHcoe9Z8~G#Y{{W*s6~ z)n5#C%g2#ue={Di`j|=k+{bM10d^PdFw~fdJcjBed&roagI8tLchl(}{U1z7c5_CI7+=x@I|K-3%JF;AFK)hzUUX|QR;>6RzlD*>;ocTh>Xjc zv`C-+MoTzy>RF`0+vlJNE5tze{<-J58w`<;4tHxFfBK&Z=~0L4GVd#C&XS1;d}%B)s?JfVoJ#lw#&wVa z6SrDPU-4|IOxO`QJsXc|S3G^s*`-LEDGtifQ>Z9_W^COBpW_2REjVY;4Mb$(D(?uD z{RJ}|@MLo);c;k9M7Q4vv7ldQXq~PF1*!5V?U>_p~e_S4PB18bOlYK z5WTLoWt&B|HU{@u`Z(-N{kH?Jr~!f*7=_uK!F1nbsmtgAVWgjSA$aaPh+yi<`kf2w z12ExXQ=>DH0)gcrEy=NI6_Z4wVxJssxm%RvFe91RuVNU~*-q*24k;2@qL?=Yb}{WV zDKmIVPWjV8Y*loNcs6}KK=s$}@FEMG3tx4_5Cz2*atqRFTzEkSDfD6#g|ca+iEGC5 z#x9nPT23tvBQAh70hc*EpZA*+3lIOt&ET?yv%S6jo_*xn**R1G)!*brZ6|H*Tv}NS ziwlO0cckZGkCUJEr~6-UPLki=~HTV*Y@|wJJ{9p-h~##uUnKd$RTBlzz|NX zkgQO_yHSPDd}}i-v{cPNPxhJkY)N7#uNXFcd+j_|Ms7dSe|GEty4AnxMy%k}(Ujwl zt{(L0ky9Mf*M9NIu+vGFqxLgBcs>mT%WL0!g-7f)7XY7f^7M8~kvgZ3&(P?c`54XX zpY5$v_RCk(_jeu(ctZ zsL1T0e;h%QO|JX~_mDR!2fU>&_u`r$xJ_kg$oH@(wc=k@qhtkws&1Td?qmw27W@zIc{yjGE}tP2MR8yEsPYx0Y6;PUQ1?=xm+W&ql3&>}JM zKWdhvcsdFPownhxxjDzYlef$PI}UH1xgTD)AMe-Q%4xsG2eG~cPW!8{hEgx1aR9O@ zD#}tBpekzY=Q53DB}FtwS=h{t99f8BJA5rtlYvO7U|UiZOh1OeHZi&Mxk2w@xy5GAY?;$uS85rb>bL46_XUv1uj$9BSQtiyZoN|||{p@Fn9T7AT z-pX?23Nf?+mxylExQF-Tf@WGND;D`sQb{JJD-Hrxsn-25Fa7J#@YzKvv0I`X75TYq za%RGS=;L_s_v!-uik7bSMCLHT8s#gV-s$bN8`yrU)@=UO|cCIZL&svcW49@2}N2uY#d+Wz4CGe zpfG6$`&2F%*XS@JBJU^QC@T(pnSXv8Z#Yw;Z<^;0Nlige1f1YNNW+8_O8r$PMV3rs z#yt+oktq;m$792EffakUwaucw0%$^BTvX2C=HqjAjR4_ntZFOd$(WEMhRVp_+4 zA{ODy`|nT4HyER)CM|pToI~`U2?X;N7~;@i+f!=OWmi=7S9b{`Q%0UQ_^YI(`UZZK zRZhjI#m~LA^1=52HjLi3aTtW+x5emkP!=>>BQbCPB;Hw237YncWo7$`!X^K{+Wcb-)k>uJ@9u zxM%6Uu^qBqC?ySI3no{?@t@X5!Y$(WgpP|rs4j`I5HlPzX z!KY%*&f)DG6RuGv063aE=|CRcIW(SiSV6wb36ohWErWBqIy!=gGzVD6<1=Pb6pv*q zu>{gITN{$6r6xJ`BFHcGl0V)oM*H`xfK(_AkeIRt3W{pYWq|d0cX6)pL4FmuBa?>) zu#`>2(U(We`MH3aq%_ftDS1S#Z?YlxT9c;u!pneZuTQ3j&HX!; z03~BsyR7*;a<5==VUatWy)RRyur%manXsaU!vI>h^<@$B`q+8gl#G{=kP`68ymo}v zsen};Dh?T|GY?O+tHpa5;xo;ExmGkapE${_FT-rIb%S2+Vd`D*R6x5Bns6OmXx_4N zb63M=YxX*PZAT9XpUoKu0zmYJkfB`wbf)U`AC5R916hdxXP_t z(oI9jtKA?`zmAI@DFbX{GKP=t)x{9DZ^NYu%*rlimRW}l z7kk{8_xJy)abTwm{s0-BPrOU!+=stC&-?(hx#wgSjhFBInU9Xb}dmFNP;c7jHFJp*CA(;GNS80Z2jXv=;0H(1|d|rYuKzeUojO zy1#~vPTcDl7|*f%yd<-|JhY`f{rg9NcVnT zn=3P+y_|#JWh7r-pF?7VR|&GV8gj5Cq%E#+hst_+E`!KaZn6~g0Stlssh?vm>z#t5 zJR#SkXkOv(z31soOekpU*PrSj0v>BF-$<&A+>M(ih~A8q>|{w`!x(y4v!NCAuBD-H zss<{U4qQk66oLl$BE1CAt-i>v2QODPF-230KkPY4t%%*BO!d(75o1N@^2~J!V2JCR znDqSEB5@o;Lr0Kyo~!7Akj{qmYPIb|%30kVagS^>`@E8*wB`OtMW99(3;hACysMJK z%Q3xh*~xUQ`RzE<#a4d$@Q{?hz6s6#-C5i3`hcN4d`-dITCvj4bPG~8tVxJo;~zRY zd%O1StXO)ws`sDE4-B5$wso`U?cu|#b6r|7jCAk!_tyJ%u$G=KTz@2Wc>zN0h z2aa{#*x9vJ2j8TQ1Uc{?xJ+75=)w6_jYYxt(m)?I)$NKyweO~q1+SZ6qz;5UB$Bpgx zp4>qyS0{1DjKFjH!5f(6fyjrC%XU=2j@#SY`KV5+!we9N*s`9JtHzP$4fa!m+m%31U{AVs*Smg3+l?XtxA|^8`5u{o*XR84A~d z9aShvfr?8HS09=dS(>IPr6jRgM(YK=KcXgQIY^<_pcG8|f~lBB9O&xVf-3MPA>lSP zj7a(cGb6`ClyOdV={121p{x4oM}Bd5{!n;rt0sG;a0w*yGBCC(d7+5JHCC@udiPob zCrSdzVoVp|#~AOYy~l1_J2{>gQ|3ZPX}qD>8EbJE*Lr2r;QDal)IW9#o^E<{ zI=df5AH-I(0Yoip=%0D|2piaZlfhX&wjxa2DbfkUPEdcI@{o(4p;FCU0J7=dEu z>m+8J1~Hg!b++CC!uJB7Qu08eaOfQ(x`cX zqduf5oIO1w-qgRsdG&;*45^&1xFOnbbLOY0BZ7xX;8XPQ*)SZNmj(Opo3fFE&M~*F z3{t~I6vjYbluGrtC3s6qRMH$M&RrTke|Jp^HM!av|M_FOhU>$fIX}gz0Ag(7Z(77A z(pNdK8!cJt;>gIz#>Pd4f3L&FyNIc&T8_YsE0zO6LzzN2BZ=n185uGs95*egPFY%H z8H&&lebO0@1riW4bM- zt&}o3?Un#`(3DkV&6SNtH&`H3Wf`xYOa*7;iP2siZ(Xc6u*G9k9-dlFxaocO*=z$! zRkaWQGi9;o_<0#2_8bO%wm1C0IV_g<*Lvz>+S$uuqjE;W!)IOlmQCxYN$2Hz&-D+$ z|2Vp;u(rA_7(BR3ixdK-xI=MkkW#c*ao1wS-6gmdhe9as?heI6vEuITZa4ouUtaUF z&)Iv;nl*dIK_)b*1-Fr{F)2*B8c!Ums2S<6Kpq&fRO@sJ}n{_g|JATf^%J`+!IHm@l-wo1pYZ>Oy_} zq2j@@o*V9Fm!;O9^U>Fv&S$X$PLrQ?_4O(@`z5l$7g=sA0s;c}Ft-lX$``m|VXS_^ zTjwhF^;}F}`1NSsa`xr_A$|F+$F3P)jmKyCS)s#83wHEI9($l~m4w3<+U5WJ)mO>g zR1{DEhD6GiD)A^s`E}M?eQ0~=6oLicKCI!3@feeGpZSxo&8$-Uhhn)Ac8%?UMqT`2 z)HY;6{$XQ=u7F;{YcGNYhf5ZE(4sHEdk@X+%BOSQ4x#OJ<)X=FYQN=4Mkkwr;MMWz zKVxjH4XwhN?d|Q~-a?xTfU(B~)t`WCcH5eF!tQ`IxG!T<-m0ke#Ph#^U=P%tIkACt zWVc^AZpS~=jr1a8=5y)I=*47gP2;g~WrDnkj5zKqUEg?zD41vG@GR`HpaOcCMwp9?>}p`^@RJ6ADqLN3Z4P# zE-b-m;6$K3^%J{br+d9Irr!j8>MQXK9ki5KikD4DBlrhyuYh`A>O^3}RAdfn(Y1NU zWoGhI+YdC!h#a838EQDsf`~Y67ilVZbj^-N5>HEf=IdA6RN68L^gww7+JYNZm$2sB zMPGxChE-I-uQbZ+&5v|;N*TL{U3#g^UvWh%LK|B1gi5Z`OGCA*Udg1o<13xuZ=m~X zYhS=$Jq2E4mYyAJ=WQAn$NsIu9edw!1if0yQGN{-0AqA~$xanYYIXl$Eb#u%k}AH1 zIPO`?y!Tqc%0GYVtNM4UqFTM zW}m5!cXrUBvEB*g9LYiDuS{~0Dqe;fH};I(u8wTiLa8CMv}*XV<#vlylAn=r49Yd& zX1=`5r#W{#YWWgOgj@iAp;k9v-|We09QS%{++G}EQk;=FQTiMijA8i`p*DRI~>=IEbHe~-Z(rzsE{DauOfS|iuKc@BC|7!-Q z0cP;kEPjmf{a&nBAbYv#b9nZJgv_<^1;x~1f}*Hnt)sC?Cu7B3PEWgX7T%#f8}2-F zkP%L0w3-Y`OAAG2=#WM=7I{+X&Zxty`8@}i&PIK|#qd>5nFale7eCGM@BUzV7H7Ji z4T(G+zX%9KYwJc$p#-t#b%P0HM_`Rcsv=wa_e=Gz+c0|k2pW?^Q43^J1wj<`;0xl# z#+9_P0?;HIe^!%N8=<&Fi;W9l;^z7JVeD4i<^Fx%xSD}pQ-Kw(<@N z{H|ZYw~D9l)vj?h@1nc>yp)HdE^q3=3>frY$RaX*le2qc2FM1Y7Iyl6C%<^+9dW!j zTBJUsm%sz^%#-(z#^HHTk`GhNq*wu5y|O><7)OGB3l?jYhYk3B-uPqop5#6AMmLL0 znHP-HDGjHrh}ms)KrV#G*5(*%S&!*!TrFox2-D*YilM>Q7*|52HG-@fZ=6ftd{?u2S^{~j) zP$ikBA@>uq+f50Y>{^XcoYKhH2*F@Om!$ zm~WQL7OC^P+zoK$!&eKB=7zdFab4oJFvIA~Ry|N;@tXB4mnPtMu(?k8)AP?fCYUtw6F$>seG$jk1#_uPMdaq*P%}rWdqxF4`OtUG=Yy{Ek3e zao#by4515k8zt%`C;^F(!$?%;Iw*kvWaBsAeAsakQvAKam23Vh$eq4s`NYnSKy=95 zoUsoT?p%*2UbT7;B7sJ0zV84xY~&`p8P&jQ^J$Zns;zdXTFSx;PAoYv!rn)p&McugBDg#7rxd%kgt(E z22QwY&RY>ru6Q48M$(#R`{vfL9LG-vJs6hS!Y$?W%=QG}szP2stvrtbvN)jKtnp^U zM0IS4K;5H1YM_*89oB{nl}n)^^=I~n7+d)L1kwEkFq~LW11d5>1U1s@;99LSG!Wx{ zoI&K!JL+R~B5DN$S@GF&UgEBGn+hiTjQCKv`5I7oCmXWo0mS=Wn!G%H`OnE$+a| zSS!6XjtzBi`!Q2R`VND)V$5{h)yN3{$^f)sTNK^ge{ zgVhI{rv94DOgw~V43D#KQHuC7v;*N+A2KgFuv`@3sWZz6@NB{o$>NqsNRc(yWyRsa z5`J;BfXw$7D0$hY%o~-|)w+Yjy$|9iB1vJw@6H4E>XB>V$~SyJap>ohWCWv%A3$T< zPbiyB8|uP=jHFUqPu@K@pK{hKsZ`iu4~0 zAgp&+XX~H-i%yXVO6AMjhGFc*#N^LP$Yt)e-Y_DN*tbmq+P1H@H4U~i*|Xsh?KbQW zBbh#Ap)|N2IcVbFCQ6Io{H){&S&kV;vD{n>f#@#%Tg|eeABkb&9h4OzgyjuYoD?V< zhI4+nIy&TBw7%|^e|TB^notrA!f1}{kc3JXkp5xd$8)e^+;F}xUKcL@%2B)V1;AYd zwLHpyyANHLD}J~3$f;#djC3csCG5zFx3jdVYAx~}V^_G@ho7W%bIY`S`KHbVhc>_% zs@r;dRcEdoA^7hw@$ynCF-o(OX>4D^b*48R`5@13om1woZTVBDh=gGYr*wQA3TJtV z59Q!9cRYo?r0HSa5oNW6>eqNW(BU<@nTtA#ApOFoocgX|^yL>@BW}r_`|SHrM#(x+ zK#AHaF*yN zy=}vHqm}XbN6YCB@X>o;Ti6k);)+|lQTkUVMg^_)q{1)ILIxdR(jq; z{#7eIi|>(BCj`s4$@zPS;HM;!L6Nb}Rp^71M-i-DX@YSOE7BcTE>z4-=txR{*8HR^ z+*lsQ?wS;Mg{dC_Zme7Y7yKk!raz1&Q6YgP*oN+Xv7!%T@L-<*r{|m^$QJijU~jBG z_KG$AySu*&g5MQu2}tI&2;$pTdW5C6I3$IFV! zBF`?jR*ZPae%53jnh!H7T_~0#Ut-LMEvpNuAGgFDqMAMNgmRE@8%<}uCF}6?YsovT zlRJX2p#b9PpwmoM$Bb660w~)?vIKSD_jqpo^u$~@b{u7jG<@~xF_4-zx*Xk3g<19v z7V+^TJP>Q-^2bqgbl%46L+8ut?6c`C^!TRV*!y+h_54*^conto`L*`;gHi(BybtwL zc1c>ZS6Q=~Ijf$!UOT`rFTgwz2@!jgBJ`L41*O1;jV|VG!Zfi^P}>Dg8m2uF4NVVH z2rW`f9Chd#0J-`);-F%NHqYAow zM`$Xps^#{1c``jyhE`u#GX@}faP zf<{0azePbJ^+r-C>*Sl-Um46Oh|vO$fi5w}@BDJ^CsUmtE9^pfXf0hCO*aHQBvpp(_aKZsS6nP zu1K?jKrS0aJ3Getfh(G}i(Q+teIb9Hn<6stek>wJ(hOLn9LR%+rE(-Ozl$p``s1OP zGDSkfA&b=0$TYrBcl+z>FT^aPV_~ez1p2)kD_3}S>m+R0Lml-Awrn&u=#7Y7(ZQRW ziSXaOx4?21QOK#}WT5h>ee{*k-z6^te->AP>-FeUWvzcg(N$*ep??GO+EOAFpJ*N~ zDr!%=pBtuLFs=CHW30Vq_BU{hjY4eB4YrT;=xQnRDyOp`Kj(tTT4Axk_hExxIJuYN z76aMs<)43}e>P?&cPaq={)%S)v#{(Ig7*JpI!?TXxwSbzv6kSRCvySqVa2_E=DZVkUyJ z6>Sz4Rcs@V+HSR2PG`nh`?O$&|csuL&OjtZx_ zgS1&-kv+T$z}%2rC8t_>dTx9Pb;5}IkW42P-IHKtho9+kO+1wCcX;3l5_ofXiUnmG4yP=r1g8)+U-SGc1VE zY4L9qG55F}Nf~D;f7%*SpEclVYkAd_;de~X8WZ(Q)UFB?zCpq-pW{&g>S;LEsZ7YS zqMy%vkES)vCR3NM)*3GiX(kZh&id;t$c_5_=Z-(GnTluJ~mDo>QRaRvg zn;3TMU*jB9Mwx1{b9Xx8UV?V$qKQ-Q+SVQfV*coM(DEZDq9;h{ z{e~woq}f)ey|s^Sej*KxEp?@NEsNQt1RG6{N0uwGaR=Z^{Jwca2@@#C1-x|mvZsRs~sV zcDmi#VhFBkZ7ofM<#tAqgjeVYmr}isQm~>wteh}c*q9ihLLh@eQkYzf^n+fqV3%)? zAv*eh1t;YTLtsvNI;-a{k3m6{2Tcqf7hB&>!#HjP4j&`?GxMHHO4N1-Ot{ydAKD)u zPY+zKY>7c7huec*s>(iFA>3jbNbXo=>6Z#WB22zpqZQcQPR}+kcpseQl^>?3`Q5tt zHI^`e?Vb!?XJ6+Vx|=2G+*kRc@#@*^_)ec~__c=Ng_gVf+Z zC=l5*Y4e!=$Cjes4YqhzhVRn~ii=06)$mk+Rzg}6P>VMnC^ZP|}(61&Lx#`9Jl3M1|$xTpah>p8d zTx9)XFE#dp&3m$79fURMp7r$=T)(^XN8A&_&v8|jDY<6mI0SSD#bDsD^Y1RCfs=MZ z2`N_Spizn$LbNaWS~p^%h{vvgbR*4Fb{r85jTD&QE%;ura@iM>wJDy<&6;y!50pJE z*Ak89*=Plrx^j@>xqG`-rx!*(NS-*qW(6rLXHR-55iwj8SIw4UiAw_j2lk7GbO@7Y z20Z>1)fL}MHMZ`mDV$za<^96#EPYlyg#`h^pMh$#*b|Nx76V*;K!bk`@C&6Ccz2-2 zraC$*9 zwXG#>4-vjGTPEfxO>l#42p#`!W*(WZlnP@PXrnDdV`gYyOKSx+6RUTwp^+_x{p^l) zsV4>Nir+?*s06vWsu#Z8q1`8C=}9xYVz15Lchz}?O2;!=q+-VTc)(j(_KXf{jzKUf zO#hnMtU!a{@KmTzri%55z@BEN+kwf{ggwaE@hI<9bovj$!rzASTNr-G9x`qkOD*4R2Jn_?%LaX z$?`XI69#I}mQ*7tRxsH*OT4H5apwgB-BPiEEC-(J(t|E~q*A#SV**Sgl5}Mnr7ab? zZ_X7nZ`I|08KxxYl#?JjNg&;d<7*P3$c*^kc9aH6ekIZmZZk2u38^gEC>N@ox?HEA zHBh+QN>qYaHtX80JOy=bn5(Pv9glz8#Pn+k(P_eun@Y+g*w3=<^M}8?o$mAb`5OK5 z1^PNC(8WrAD0p&~jj(-*4eS(`~ih~m3NStE#gEYQ~v@VilPTW1)2}@dMEj1izvE}rdvbW0S{3cgVK24 z*gMOKUt_Rzu>t2>Q3;dzd9px+P&k2Ce%o(dZ+b&l zZh~VABofR=@BaHX(<$UOgncXjaM*`&-R$ndw#I$=;<@qcedw5V0p`coa)1L;SH*^L zy|r@pii>_xH1a70kz!S9YeIO@vGXL%>r|xI=&c8Lj!Y0?xl;v0L`lh&2-drKHp&lV zCjho)hPlW30i2{6iN2HytG7*?gi*LrZ7*l{Zc-`ZI^w^(pG#Fhg0Bu&gbou%#gW)R z8vX%>m11&z;;n|8!fgS(Y50sew(&B&Qxdo$w6$+xf@MT_cWBJ3%Ebvda1M6+6WD!d zMF%ZO=U9|!asE8AUBePtq)~SuE$@=j0NhrwIt~ZlYwDt}u?kiXpT9ez=)+C&5Sit( z7~#IWdW(5{tZ>CWK5jeeZ`LJC!nOX-_R&!p z^VEE85c^NqY{g{=VZ7UlN0_l`2-#}0*j6W_*gDDdN)Dy*ze@N$DB5dc_(l9r2q9-&s&yA)2$l4e?|RC8Wo3L$^> zDa227{ppZnnUE)-NFV9YyX#q%L0tI6;A!RKqFPP<-Sh^togM)LqAgj7x#|t<=S)j- zKk0Zwv{WKu!f;=${#7dxS8_IHn^c;Iz z(2jftbGE62A?OV*$UB0&feD6jAD73p z0CJyUunH%(k`LjKOeb8bHXrA!GTX(Ol5EBG=h#=l$cV!Oy13`t>rVyOolDdmAh0Vr zkwk|q7UJI(1M6t0JtiDyj>a%_?v64@DfkxbeH+(O;bWJpKBpBJTTAZz7+fk4vjEFqZm9=kgW2 zErxn3;-=3dTT3bulllpGlnE{uwrr_cXx}h^6^Dy4EuD`ngvo%D7URgsbEE-3L27@_ zRvK-Cz8X(_@4Qs8Tl5#~s3YNn+vr}8mL7U?rHN-FAkow`063gjaGy}00>QmF5QtjI z8*=$ug?YV2-^5m&C>ozPCQTv_-YRJ1e6KNegIDiO-X>YDzp22pGK$mu_sb4rGeLGD zs8`Vune#GB2#$vpuR18|u`cg3jSsSiOra6?P=i5`Lv)m@bVOEf7L}9#Lly`%V_9PCj_32 zBC?a3J+XBYbGerP7%dtkHf6^HR$8rjqhD4wY%Oij>)JwBmgcy^6bail zMq5d$bHdcb{Ko_x6^ypG%1dx#B2O|aF4iu!?in@HlH5k1fEw4{N%HD~&~43hIt z^@ltMDcf@hlI43RyYDSx%#sJOwFP;!w+K_v+k zkQR3zCfjDx$BvxKcK$ZVaZ&Xx#8jCu z7y~fD%W$!sOc`dZ=b<2idQKSVk!7!Q>hpoTtn{9&(=#ql{QlY94-kJDYbO4%GDkZpt>Qxj{>{!a?J^1a-5#Bc37 zPfyc}B`jIP+=9e6ykMTJ3f?_9yWmOb6R0ZWU%&D#sv(*=rru;Oeom@x^FLdNirew= zSrc-v6m>Sx<@597?fHM{gMVE&TOC#p`q|Za)`+`P^FeQM(;hY{GW>|$!uQV3;vhIU zIFi8eUt%eH8e#KYs$%y;N+l%^H;tVN;LfL!&Ly5PxISR;+ivD(H00jEd{_8b%v&@| zG4nEU2-zbTWDSKfXq5iMpuwBYBa#49NHTmGL>hcMjX1)IcB(h!4zfzu04pkyR_*gD z=%}mir~?D$BZCVhj_i?EbLnNb+vAct40j69VVImhLlW^)-$HZc78}LEy#n2ytt!}q z9^8>nXz$)_2E)0a3V}U7s->=>@Ty1e-t12J*+9g{iFJTRXR=J{T?uHj)p z+33?^c}au6c@WvF7>OIm`4r~xuen?s*LNwK8h53O&!x&2xU^%@fR{VhR#Rp6(h&(q zO67o8`H1A;NU^keIeY`&zy80ve?frFo?T6OZ=wK2IHmQw6A6`}g$p7&JR_Sx58~*qh9qtOw$(YcsxFF$*l-n3D->0H-(l0ji~mDj zCm1R%xu1D^tX2K!d&KV}VJ;0{Xo zdtdx6D_dY7j;SP+cB3Wb{9^7FIQTTI%R)3 z)U#~roK$LpC$}U5Z=u2VoMbokn_xh9b*bFgI}CeQ2(toVf$G-HPU*j=$3}|K<*VU6RSQ7}uVJ<6`BkC?xVeF&z~Q~g zFA5v;F`v_p#}n&%_<)HR|2qQwP=u#y@BROQ2W7*Pk6)f2FYmpZb*U&QSV%CDwIRiW zx!w)8S*?C7se1mMnnF~eYP0naO&fEnTN*%sG7u(!k!!@3>2&E4ef9xNA4y%`$yUdY zHWP}O8xm=vrJQ-z(*?%Mt4udM8PTg>gZ>HFs5`K)GI znV+x?KY&);^hK(rzl}12DXxvQl?FnTy~NVw<;?vYs#bYeQ{5vt`_>%Vog6L#UU9kQ z+(Txx);=^R^Ejn`0U;<9H~X6heG4j2Bihe&2~dU!KfT#M$G>eBNy3AmdmT6v=m?*I zf~yVCvr_d#pY_aOymWK;*)Q9x%Mqp?XSJW1IP3v!s6hHk3OHVB0odY_Z;e0AW_UII zM?wc1CLf7Z_t4PjPUIO$ZfyFg%rYBmVXX8ra3w(9uasgSAbu7=u6L1mn z8C9-Tx>!c0lhk@7lmR1l1F%widn7VE@9GLTNY!KTkA&@NQPk5*31xP0e0UBU}K>o0WUwSyoX5}nF`EF&r;sTC;y>!2Aw>#ql z6P$t7bhjFf<0Xx;FBr3w$Y`aO@RkzFPTUk+VYy(+<)U|>)RP4*Vp*;H6A%;>G!QEm zOQj{~=o*u1n`Hum)*OL(LFw}UU~1zrF*2_IIMVON{cgmh7jS#+eO@)yi<~<^2TP|P zjs@L(%eHP(BWcQ? z5z;D^KM59li9bIl=P8bXKR*Zlm~^8d_vS-u+dghwT{-(Ri*!Ko%U^`@pU3#WhY)U^ zNqyWbVpNCo6|d8H&Zc@>FIQJ-db$FZFM|NX?Ua#i$7V47yP})K_)U(Udo=Tp5uV27 zkKeZgI;!KVSK;8|ssk>y<#Cysrr{Yq+e>uk6IftHiYd9RsQ7%0UPS|tau+iqfnbaj zEN8i!pA#C8w0)~joD?`Y3Ip@7dNs2UlU!%SqR*qUeeZv}xO>yF>~-T@Bw~Sd_)F}2 zWpkx?dk7{1r!c?^V0**e>T2?6RQCLM+9@_ir4DTjEA9F9*=`_yOgqQKAy~xUYr-!2Y58HY;s)IhEZY#X$*lG*5<>9ER&`Fc7B> z7NA>wYiMc8#|#Z%DlA&DyS=@7YGOo!*8O6l~dP%CHq!LM}w_}6{g&k zMqyq_Bj;5}{Ie>5p=(7eK>>lh2=CsUbaN55{Op!4W#h1q;xkm{XS%@mD~|7L_|%8I zEAwU1@+UwT6Gj`%*HN07GEC4WN>O3+P9$gWw<3LQiz3qwu<7+X5*OVU8z~7i&e(Xh za4uSU^9yZ+*gNG8#^mRMpbB2Ki*T@!7SArl9jfe_F~IpPLN~>xrxchL96-SU#X%-e zPPvWRq%kv}BVm$)m+A%=nmTY5z;KlFKG4aQysfYyA9^;jE$3#VLPWz4&G)4Y_3Y3- zQTlKsj2}Wm9K-G~3Saj1LD$Q%N8p^XaYgpRZZ*FdOF1Z>0 zr0T8f(Y5R8ahlB=A&A#D*nTp^r<>MEwD|WoIJM3~UOi8^-h3J%t+5P={~Amg3F~kA zQ5xPwPdaJm^gW&H4IbS=3rT!QNs?4WNjPOe1YHm!0P#J?Z}_OHybE;m z$45yp!7a)S^@|ZGA(bEr_$H#EN5)ml2-|JoyVBF4M)2hsOc=L;Wbf-S0bN zWav!sm}zY+X~|GWV2RYdq&Jc>=OY5H_w&ukKZ&WU&s<}W5PO^f8xX$b7}r`bR&! zd}?6}E=cdY@0EtSJ42Y!vR10!{Bs%FpIu8>hI0V`NpeUqrI?5)W1Enu5O*1!rn=F7 zTuEjm6i|w7al7ppu;f#xKe)UQh!;A4I?*L_bF0eGqpm#!P_EItFJq0( zd`+*;a+v3&qhTONg|n({I91I#lQ~y7vapMj6Sf4}?s1uSHtDDxB1GdjP2P}OW!JeU zL(h(~PdOq!6MjlyWE?o;m#2phC}}vg%AK+Y30akgz;x3t+!+eZ%;5~9cq%RDNN*4) zauvg!^n+D6<^+_2<34EBACLafYU!_Wf%IE1I_MA>Vv;R=A?KSTTUx4hRTa0|o~vvO z>>lY2apEuf^LFtGj@WoZ3I{%bo!$ImQ}GbGj@sPDW0cz6%=WwG`J$yu%B2v^D@p>3 zHhEP{Nl#uJFut}TIP0y!78}lezs|CW;@o7#DMLIqbO{g5xZ*R$ZWbD}SawFYeDKko zNe6X^LV#T7E*Tu!RAe*V;v6G2U_cc(r>M8Kr^56_fNvqzSPKy0jox!~p-|cJY2gD; zj3G-|9EZCh*pw@+Pgnd9)q(xri`2i9gcVH{rf*^VNJ<3px4wLfdMvP?`9&odqH3l* z!xOlPjeo*#g!>wfs0uj^|?zj5wu zJeojk_QLY=jOaTtUwI#!+BY2-8^KvqIPXw5VAfu!C*(#-}c;~7X6agGRVNq_eIo|`%#=IQFsU0aMQsM;ns zWc+#+B|Hw3V*Q6IMUIz?795HgESm|v&MIPnDJ(pM38z>i>( z$dKX1xOZ#KVUjy8dZjg;B}}HrrmmxU2rj@d8VBG~1FzzhG3V-h8vYLzX9Km_T-$Rg zw)hVLiFlN(1gZH}h#mDT5%drXM|p^iUF$-OW*c&2j^Xy?N1+6EG&*FJ%0_Poq{|YE zr{O;j`9Wi4Ph>W}Tkv%)s46$!Ji1pS?_)QEQa`|PIp3i|;(qPU*-6cwvn)W{49 zvcaR-6_lX_8HZwu^3z#rNiH_n>O|hP=o3p>q4p?DMbyD&I4z1yr2i;|LfaXJ`!}NI zRYwmhbK9r;394E=nFV5TB$tPjrjb4;D>0+e3Cczz00MTu^`(pke11?7GkGe;Azx#y zOTz}yK?|(@<}hHK5rUoF-DSYZBOW#aRY?z^_P<>QZDxX5tSON-EJc{VL+SD;3q(_X z$d=G}Ax+x?%5{$@>uiI&LdUCBdPsd6VEP8^lUOmlub|Q(`Iq`fj^-vj8J(Rw)bsb@ zo-UUb)+P#VpTJZ5YKixdYFzRC9F~q72WMwBb>hjV$ZCWQ$w+S_(RKFUMsPnnG=f0w zEifYfPdHU#w&;5QxV{vc>bvW$a^~$TN0&Hcw^#uV9EuSKt0mi63{+|?@z@Gy>**I4 zbl+jdbNpf_La#q|tk=%Y&Jx3V(Q?8*DZrB^~l@MUWR8L;<< zTv)5|X?sLG=8B*}f4s7uc$>5mk z5Oc-LMN@)txMY%uWOUSJxuqhZqU44$o<~7BzDr=&XF$!0o9?9$qBG(c=>6pRfyxHD z7dO>l)NHz|!C$Lh|4D7eMNhrMHX|$Rc?LsFz<>cWlIJ)|*8>i!P7US#>6MHHjIj4> zqqwB(Bd{O&*RPkAFTJLE=gBfj5~|loaZz4j)#QmxDNz)u#rhOjeZ9 zA!;C}ZZHo;@Xsp7v;kJjD8gkTiUctzr_p@@A z>bwo*YBMeVW~L`UGu%SIyRF=U5l^!Y7D`L-aIz_JhJd zSFwnaqoBW;O{%R`-G3UH==`+K2QdWKvBrwxSymwY z*6$w<8T>6b*CA`zinw<&m2^KwZabd&QhaJjvaskqjvwO-^QGFZPZflH%Zt9A`Zf~q zh6j<$EqZta4A2;iN1qtJA;Qa|rfz29$bl6T5AR!Z#d8lMTsUkHnN*ZDsaeW2 z&J0hms`N%9fv{5>jdG34cQ03!u}U#Vx9L8E_Hfr>=P*jG)I-;qhV|M3%zdtae_(5t z{N{OqSr*c>pWSd){OV!PQpDx{{+iQs^qc*^Z(nN5=#`3H1@8B2?w9Qm9PFT~WqW4f zS^cQi2ywm))A#qy5eQxAvU!cVY*N1~4jXJ$oT!J_zmNEx3MT5mn%n zTXCm0@cczy!9>6ig!r5>W)8Q7Kl~%msQV9A-`d)`@|cyS7qKo1+|yzq;iMlA53XSt z>RVsukSXoa{%Ehoe22~u`Rg~J(I{|1K7{1%WdUf&%%yeehsg&O&j&tPy$21_nQ4L8 zX*xn=FmM<1onhTIZ)8Re{D{T0qi#DDrFKQUiM2QTXde5YH|^I;WMSshPiBZ!W*Ic` z>(_UxtM74bllo`*_&dYG!W_moEz73%Z1K-K0EY&%*bfHf$x`C ze@mSm69NzS9}F_He%%Cr=0gH`I(mD*p2dY=br^$4CE+8vw-9Cq9?=7Fcg&Q)%E187 zO~Y|XUjr!HFOZkfrE~51evK92dNvBFIYc3jp^#usI2yj;>XBw_ISBcsXU=KI6xHm} zp7t|i1>vUq>qp*FeUT_c?sJ6S5j}k2%xTMx*DVgDWi0^D8Z^rj1JNk$w`quUZ1}rG z*c~JmjOXfVPLsR}XR)qV-ceBz44HmqB^iM_fO#^;iXw|>cZFr}Lm-A8GA@YWGv3p0 zb67;lzH^*gnh>9L;hWyH&)_o=sLWDtFV`=SrX|sy?N$dOBhzi~e-ayGX!0wf`UJFH zl=RagQU{7m^gQxTz#=2PVc07sLkKqN7=1wl%n?g8>Fw-G2|=~7;qj%RH~Ox zYP_?@{~lv{EaA|lOY68qnbrLd|?GtG&KOv zM%bKp-l4pp#Ee28Y9ySP+T8R)LxZ!_>lDM(7-zp_7kP~86G|LCM>~xR6N(IU7U0$0 zMK36Q>95JfdnA__g{ogtb_dFZq+mMG)c)1elkPr$M(Vr#i{#UR`e@SOb?nKi?73HZ z>4d{agQF<8+-(-WOj`KhG3!=Q^@@LBY9Hp<>6FHdZhyoZ;e2f5xv} zo@~2V4U<~`BtFJ+M;2YL|yN=<}Z#gamxX?7kUG_Cc{&zhl%vU34hts5_r z*jWFbz zW}meS&~JvupJA*1x~y5O`~2^^ls4e__&8cYMHJmrF+PvbmCrm|vC#0GrsBgh1XzN2 z__>kZYmbZCQD^`pV$j`S3zk$NdcJe~m?obxq8RDn?Cj}Kbx08=F7_}n6%$VLvJ=+% zv>E#v%CNOs`0M6qYwP5t!=&&46NHSds?vnlV@)gxOhm6^{dknBiyoC#|3N9c?e*oc z(u1SXfd*UvqH`OJ)8u+9^7uh2Yk5q{-`;v_$t~&cV@7lESlx~Wz`eJN9+g@n?7ijH z`s61{1UMH*o2LZxFm3t9mNKH=%M#n+E*&aB-}@}1sre%&w{EBY(TmPYUMV}Xw~8uI zOxTp!I6@Z4N^k`ik|aw_)vcL*0!H@3C*|tIfd<7U=^wxp0`3j(5gC|v7*7=UA2Ao6 zsQw`hgp$l z&AUI74aeTTRQA@rYz7$Iv;;rutvC3yjX;S`QwB^ayS|Q{0|Z{i-aJ$A9@22pHaCGsu7fdq)ze!04B*uWd=>QWN&J`R z%Tu%BrnhKek(NIWnM^TU5)vAMeNH8%LL^n)+8X&;NK7ouphhLWD4=>2#XVxfXNqSj zWan|a20d2_3m0D~%s`I^%a{&MkEGK>I4Hv4CQcR+##y&mLAjUmL=PDpG0_1-v5HE! z=B;q4GRDroM}N~{P`4MIY2tQGn!Ip4w|N&k4Fv_o9+ z@{*H4EtBt0rd*NU=uf&sUhHGq@PJ5B1Gbc+C5gkJWwQo}%&wCY9GTW&r{X13FA+FcDY^ zAcosX!IBu2t-xjkENNxYxWtk!XaQ-94WR~cR64qS+b3@))wx3q6lMdNgE>$9s^)k2 z3>f!hY;ZZS!(HXxvzhI=>~!~$N(Jysq8#SR_^=}qB5%W|ZJt!ppGkNpTDuIelO&OL zGjHK%zMrQyA^bYn2z!UPt7MJ@IyOEb0S0R_HWX8Kx?52_yQ+0~|H;PBBKEW7*(fXb zWUjMxctd_(9`{bx&=xaMsoMY3fSqAVw?jbNWy*BTiTvtR7sZ_UKFdO~^uHOTu_7|XtUP?NV_)yN#7TMJhOS+x} zIP(%Txz;2|Pq1Bh*rE}gKE&DLJM;3=aqHWx+f#*yTMLm@S4hpG=an0*eRGhGtIXQE zy~FqxAt9AU7STpGY~2}RVGF1;JO3FTHV_m2pzw`w?3TS+w`lCyUdB!YJ5}r1&j#S{ zo7eAFs;;O0o;&1kzNt%v;fV`S!J5#Fdy&|d?iYGd24VS+tCn}>D+vZOQcD-@v&2>C zs^&g%KBPz{wh2^6ovweb(z&l+$9_#t-|B&VpJ)BDLPf`5p~DB@;4*6XWofFU5Su#P zGZYyp72Wcrl{2b?1z(0$9WJ@ppTXzITlhQ-E^>pO*?!?0XC}7r@Gwt>TE$5WCLz z@6U(473|Uk%ro@M)8Xauhmx~Jv6Wy$y)6a=tJ^x)qS>pOg8!rmh2Br;uBlJYxD8!)W_NQAJa7Fa zG`FDM{-Thjyvh5!o5}k_&BeU@00n8DgRkM=P1>eI-^U5q8!oB5@*B+e|Bs_<4vw?y z;<0Tt*hY}2Dlu^K0B(Ac&c+xnjO`)_AQvE*;T9Bi|bqw1R7hGuz_B^GRP^I~$wY+KReKW`o&H!uCR3Rv`g{e?u?9@wGXASI^*4G7vgi0An#_YGp#U@ftuGAXhi!3HT5A{M!&1U=N7gcp^h)^BdZ-*NMGrW*X9PdZsw6CL)_O)G#YEG%RNotsz9 zxTWkRTi!?yqId>}V;H*=^?2E?ut_iEQYpbuNgJV zrHsT}3o6OTXv6jQg7KO9c{fxyqLC|F*|=De1qXO$SoP9!(kaYJA#y~NsYzGrm$Ey4 zwWMAoMChh~xr|0M2o-5%Tca$Stt0@%9q(Rln@v>~5Rj@={nudfb?%5jmO{f*W;=12xbhmqt#>VGyn88F>a z?XtnjX(tZs9kqu^25*^+qkpGr67FT}hbsgrauklrt}BV{XzKgo|6F0DhfefPEk?Kf zcBGHtfZ(j255LQI^}dYsiTgFgg-<@vWf09!bt;!2Xsma@q4Bey^=YS`MpHKfK4+I{ z^MR%y>DcN$1bWU{Umm}DNm3!E_f$^B)A%4%fs@9!6ri$$@ifnyJS@nbt1SRGJa0W1 zr`hiHW_$>qCi2E^*Vn(eZ=7zt0E}AKoCR-(tHQ8azcZVV2j-Krw3zSAaQ`(Qfdok5 zJDiutM?Ahf9|C^STTK zgdcPVO__O07jM2oi~QeGZanM=2I-%BPf*sl{q%{%N`dq(8 zW@d9mP8mmuaD+EjgmTW7HWRr8*Jc&DTV9J&RxDTu%KhXPctqBIa zlZ+U~oAa&0UAUD#*LHsbb-AP-Q-ku9*$p3lQ4?@x2^bw5xe_@cJgVgofsR$sLNPW1 z9zqO!pPej&O*C<_)$r|sCLNhjBr+q4UE^?hc;~ziht&WS^tYK2H!M`7O1+$p=6Zjb zGNgblyQX8lv3J76?T;>~OZS&^;15~OXX^)Q7qxk`Kw-B}%b^Rv1TFRCR_Ly}gV%m+ zp4I`+RRHhLY!yji3AyH74L|`z4TN{^Yk&6C>&vs=ECzH&|hO5+_Vu9PT2wsO}Q*N^K$H;e$+U!e)$r6fNu^Us^%UQ zbqbn6j$St0o}Fs}kGwG6Ybh-VGvyFG#j!Q^4qQ^zLE8?0wPm(JZK;oaPmetcAXJ(! zXwHVd#i^RFVHgF7W0`W~Tubb*QTin|`|r3P1mA{v-sqAo_aFxTg5vw&3h6&-C9@Xn z(@0V_*%4EU3`5l~@sov07BkQp9<^(GU1Stc>F?TE`sI<1hh@FMzYri`!Fwf`M&42> zgtEKiapflgfAV;6O}xqt=OPwyxq!&q{9KVo44eT9Q}a`6<{|Jlr>Jsu+4JLLO5}0- z`sU`B(S}Nuh5SfTzpG+Srn|AzB^!Pvk)z-4Pq(((ZFJ6|x!_T*q6}7jW75fT)eB3~ z8Ax^YyZcp#&#)0LHI*ZOO8tOG~2U^vwqS&A!%BuigS z#J+(&Vbkk)tHXuI^3>l=LCvIcWvWpcP$zrP6C#4h^CFP-kZlNejMgUr)u@f#c&7&G zq)g&7#3S*1dgslAJ}6It-h5>DX`axPt3_ez2w6x;lCP6Yz-sANKGIAXu$m_-n3;&@HGA>IVnqv1jM`5iC1)=~UY~vg8ej zy6E>^b4C|fQYC6pWHgLyUhUOb72g>JQj)VqAVw!~%F7l@1vZD6sjCCC+0gqwU59|@ zWt#P}Zx^)c`#6M{v`u?562VOjJhGru@dBD58i!Ay5SNHQ>7(s6s{_HE$&HOAiJw8v z+@BTy9k{G~_LRU`A7rVYdiZSdO7_}EX8Sa#n|G}aZOJ!KKoq?lY?|Sp^GT^`*>+I5 z@c#A5H|e z?C#!lb$wNDt31ZCe}A2w%-t=WXH#ENv5Aes#V?$SPE4#zToYc3!89qi>QU&#RX0{k zOQx;$fEL;R^6LU$5;2v_IGzTZ#BFX7rjHsk(Hh@NItnWc<132czaLj$ROtunzc1Tc zj09G-K%lVxgs&W)P1K9(4qwPH%%6{H4%qRfo)AN_43Pjux-AUi_<2%#KZareY$={& z1iJ&aGr9xqZ~9MnM0W{4b8eP_<+|*HzY^y`3R;O`LC$%X>~CYT6xDqEZC9Fnsu$Rc ztBQL>?z6aRLbkzYyLBKIZ{*Uw`Tn0j0_M{WGGpU<_E;@Zg0r`GmRypc2NzjAmr{R8 zX7?6(f9XN%$Or2e?J7hFN^^YCsk{~FtExB#2@L}rygF#rGm+Jnp%4`ka}X=o z_kLLwWS!-BvGJ31g30No*WBi>sOI+TtMALmH-qNnyVBknJtAWZM!V(+eX@YA-7bQf zDH11aM&kd#h(NC{>(!~I?W3}MVgJ{?qJ)i?bB}`;RgHlw5Ub1B6RoU6l{f7I? zR!ECAkyK)8N!;YuNN;EQU1A^d*S+?J2A*Ct?+Of4!1RL}7s)ZWvw}I1R42I=d3BJ8 zFjPB3e|AoNzGPyqjA1Zhv)X%3ge&qb^7tvmK=Z8o_!8?(IoJuDI13By7|XKoXLy=X zt5#o5$dbzQO)DNrY?Ym8i=M^mmy)JAL?jbgsUZHSW(Whc|G^0rMOpAqSUCur8^SHeRUw&3CdE{k=x7aYPy<#;jN+AB; zS4bGhN*B(LAm`_A%+38{F*G#sLVWHn&4sT@N&_wT9%Jwdh3pFKxd)bVqj^|Ax6eJW z#AN8xE6-Dv)^ZP>sjbbl82U8dl9osf{6A3Kf6NZqokB1R1a?lM<^yE!PDom$iyVF- z|L=06@E1a!{(K+XiUHqK!lc>A!R=N>qC|4Vq2zAsb2Ac)Px0iKN!U5ukBNaem_QNq zjq`M(4I``JC#X6YWs0{5kVvh4>sE%7UJEmK(pS*Si#cn$I-|ka7M*?aYQLPmOKE+5YqW zvC4g9gMqd-^WUQV2o~k)Q7H;PWEHrX+%N2a;Qy^}<55-wKl_*Me6n$xt#)laFK9rg6 zkuQ{>y$qYxG_P+sARFCOv+bPK)zx`~&d2*+>NaNQA8BR-V>r-}^H#VT&cu7x!*r;G zZ;YR7Bv#r{z6y&bp2?E|fL5Ak)rK-GbX9!Vu8?%=z}`)+(;E#)jiThA7m9qLyh{p- zqH)2tbDLV%=T~ZR1YoLK5CC{o|Az_qZgAZFiSU?LtYAQXOQc0ZH1?u6UEX_}Oa1YW zTty?6(#WX9>XdvDbt@!vulm=GMZg{R%3)L17GwN6z_48W(w?lHfN-*CA4g$vc+%*o zO(1S`-`!E{P|oHx+!NJVjQ{Ayl^ykWvHQN+m-sMuH8(R5*O-D{$otmPF(>`4MiaHp z0CLb(|8m>^_Fq!u>lN7tD<+V)x@o<74r>S! zu^5k#5I}$y=I5W~9SWKsH~)lCF6@fe@c%C;VxCI0UWhZh2#HqF)}GiT@RN3PGO zkDm293vOj8yh41`;6EJ^d^h~bx%67=qaoEk$wij1RVWPwMx<`~;)#H+sy=qq;dRg< z^6&0Y!sO)SkhSqrNXzz=K4R>4PQ6Pz>UsNw;gFTfc9B9ODWTv10y&I)6CT7WdP69r z)CqOw)7%o>@!?Brm4F8R&hLvE)JCsEt>t+-zaN4H39C+Y5h8C|2>ikTzuW#=KV)fs zWKb%GyY9xTL&62PUTlKf?IjhW!6r?I2VO4>DBy zBh(}D`W(PC*AHF!^qJBtA1C|V(c<9&6=)p^unE1f^}1z#EE>4(5n=Vp#SFNz@g{s; z3y(H*OBp@Hh$K{(NmZP`J2vI*v{S1PCJ?&Z4>lcw0`iKb#pA_^$uTKU-}IoL&7k<% zWnL`^tyiVmA}~H*WO}h>_F_bEZ9UpaB=)a-!Z}RqSouyGFNiT6^skA7C$kZezbuOi zmvi8T)^IH-bp8vbP5=n31zTblV$LqUvfrX#s6vngamMf;VOM>To`)~htWA%pQ2NrJ zGy4n!ll^Smy~p!jOTzy?M%rvU1Oc1*c!gK9m62-()`e&qsZ)MXRwM!@oCq7?wRJq(=nGLeXEi5Z@_y zq;NO5LRoSZ#I;=gZvYBjlih05*542rggH2hq?^XDM43c#kSM_0W~5VZn@O#b)W?xz z zlMT1n@0KQ`Ni=9&#%wzw=6^DWoIgUOAYN!F;XyOLuNpr!YgHE$gu}TM=AEa+sAgQQ znc^HKdX!fI_JZKQg7D83DQb&%M@L_HC_5`FM=I%*2ybs)@173JoZv`YBEgGXk)y^W zvGNiKY=OzSS&Zu*(G`FSRXP1ALhLzEde8mynKsDTZzm^&>Axtks<)y1dD)dg_ z)}p!E1x&sXT?Uj>J?#hjD!d;!yu+ObZ1_C3Zwd9=8WLA6cexy*NwY&KVO%4NLYHO! zrGmTP`hq_TlU%=~rXI##lF^svX>QopuXwlTa2h8G+}Fa_9a z*v&ST2S@uWC@4%!c8o~7b^WI2P-Im>0i>(#-{q-QFFF%hT-IA~A~S+v2F&ed!!brG ze^yr7=@@u=D3ebShmPOLQCtZM7p7tJ28{ z6>d3(G`qc04JOh21p%*R7)aj0h!q`T~umG(kt{w8}%p%JGx z%h9+Dd??CI@+ibFMAa|S9qw$10J-9R3Jj@M{Dk)VQvJJ1BzV1Lq)gO8=V*fh^p%Oe%#A>E*+`XR+sbF z*BoOG7M)6mJU_kqpu3ciVo2n`JY%+V5v8S&HhgX5uJ-sT1X_6XFhP%SrN0orPXn)x z+qJ9HK#p~`g}V{3A`&ZHfJl!yUG|^eN=x;L4!thqDg&OZVP1R91?k$`&J#Z76TDd- z3v~H6w4b_Z`))M@tfh~WlVaEO@1L5WZQ)Kru82gQxw>=-a^k86wqJ2uT047N4Sq>F zzy?-@*G)LEIH~Uv6;ioC2CHc7zxpaKjyIM~qN6=jRp!WzbRBiW@CxU11Ap~an#Sl# zzhC9;TK%Su_& z&)XT|iJ*aI6`0IdieFPWAU;n=imdx3|Ida>H-+}HCNsj12}22F*wa9IjO^GekbJX~ z0OiC4gQeVR;xxgS-Z*R;|Gm$4s7>GFJ>X+A09^ZG@Sgthg;2}%jemhX)J-7portQw zIpEcnjSA#`nvrA>*-jABETV-gNfJ7SFWZhnE1SMHyxJ)cyPxw8xG@(k9>^g+D!;K? zC5tqynYh-^9!U+gjGxsq+LnIh*(D2jbyCLJd|qhfsoW5LyPZ99js8J|@H%|u5MXw*%$P0Nj1U=SJf(n|2j~7 zD4c%nJGoYEBTVijh<(bU<~n<2cfbhEu=Ekn?rYoE$`yZ^=JX>pknYGzd+r%q)5&pI zylt3_AMj7yUOfBW%<7y`~-r-6-#NVaIslklszxr zTy+=~j{mF!8C&W&8%eqhX@#iL(nIpI9P-HBB+*Z$R`p?#2oqdNbga9IQ21!l8pj-K zGDPB+pPVP8FXrKFy${1F3oEJB!!9@7()^+kMeM+D?KMU)gSW zo-NTFP>Jg#vR>ZVS?k|)nrrpC=ig537i{PWl(_$d9pBR)yf-p(nu~O(vx=|Ba588S zZ;3K)nMLGE@M{Od)4=Qf*-U>v4)AdTc>ccHIjNj(zVE(PJ^B(E%%YPh+3_CL{H^~G z@dAIr5I4QU4WdA-Bim!)cR-%9QDu0bU?zNpCDyRJsWpHSSx`fc834y|c2eQ(e%{5& z%Xf9Wl)*_(HWIA%wi}PKh4Bp3L8x!wO2fn-QEy~r3sluyhM)_GLJU|1&O2_>{3dqi zhonTwr$Z9HLDh*T=>$^9A<%DY3k&!fRiG46Ovv{KW)lBlg6{6_rL#u>0WGWL>GkSR zV(!~$|6)H@UElg9(@r=k)5}Rg#}RB%r}eKWz4x#>sv@gxbs4={qVLly`rC(xD1UI# zwg7srah<7^#Sr$i{V!E@n=XEK!DMVuCO-{GF<+>Rme1!R*9Oc-$AOBFM}DQZ2bDg- zi)Q8bxHf4`CEyK4*{Z0^#@gBfEH5{Ck zC4$e0l?H3;>+&k4S|#ahB#LVE8Rwz1`El7)6sriq5NV2ZYxwg_oGL8D1+oN% zDh}hN#cGQq3}~mlCc89h^3GQ?5Dx?A_USO+M2D1-wAn5O=>!NfzPP|nViv&kJ52An z0p0^hjRMO}wPYzTWUIq;N>pXy%v)q;!lrz=E%kg769zi#9|t#{>WQ~G`TKii+%eo-6jKcX!sf{<_JgZ}a3zX|X zg?3-pP5b(>mGu`ZhZlA^+`$Yx;ws1l4R=ngUw@_cD4**+lZr;6D&#kWIF;fA+L`YM z8IGXr8l+&t?k_x4q7)#>xGoI}5EsyEKqL~VL6A|DsPJL=?9I90tH9HVQ^mOn{KpC4 zLSdKQ9m`5pq!#_quP&Xn`l03GSkj(4Hr2=Sr_vqbGo=g%kzO!?o`XOqqVpQxUoG1| zZwaDIaFkWa3ER(q2%yz)V10SvEO0l3Nc7+T(klI^NGlJF!0yaKKAm$yd7p;P7GPo( zB49jeZ-FN%P>?p1x&le+8D3%H#UhYlM&$^T1Vze>G+1Wwg-*5nr##!+gNaO!%qpb< z?V;RtBT&d_8g*g&7Z}h+@4UXQ@jjvrKZ+w`_lM6f@FdmYDEl z{$xTzI-gFewFFE@aAebMHiD0XN0!D7ZuLZ3ETx5ovX2&Ve*izfNMP3hue1L5fcVie z!A(IPiS)UlZ+9}?hXw+xDKwN3l!=-m{5L=R@&C`!gM z=lc5gUi!banT&6c+olDaz8$%G|M#HB1Q{IO@Oqko0BMNb>OFvHXDO6POG~e$;-RX| zKLRM>2(kBIa+La-n4cX7DkEs=0Yg?q=2moO9Qr|0Boa|vo!bcAMBn2}pkehqezP4w zcmtlAK@DWg12K`bFj!VBB=Js@I(aCSIhB<;K%7uSBD}=jL@vLCtD~dHbo|xcRlC0! zi`jb(-gk2{oi+Ol-DL>;0`GQO)7L)QytjopKUq9(!s=!U-MZt9dWWwtvM-E?@2%Ur zh<0HAz4mX}#2YV_ebfbwhLX%Vs;4&*=w#n31NKfwj2OTW&$T4ZM`(aK5qIwlEPv|) zf`buC$lDgYZ~-am83ba1iwL3Ut>LWa-Y%rVqr=Bp&(UIEe1wNKU#cf7<(sYHdD}&J z9je|YiZM5S<%nh~jq&cl3N&bAIa9vuq(69qRprX_Vzi-30~fc+n(h{TaXRxF@O0R7L<}GM6{a?2O5#@Gu7ra}Kj(zyci1TP4 zJ?q~xwS-XP`C^MtWihM)B93Rn& zoLJ=BQYe=&|B6WF zmT81)6E_%8yQ2e4`d+MgRKpOxSW=AvValNP8mFfDF6kowp!%qCyX?ls#&-L}i)B3K zSxEYCO&j5o$^a7&VA#r2Cl8y>aEu$*2hNs8Qo8GS7ZFQ6?`XWA5R^3+wsw}R6MU=V z5?97iiql`ZZm8RiX_3HLB;isj(e)(s+}4&SC0SEu4o9_T1o$kV8IA@mS2hmG>W@Z? z$>`qzx8MR}+ExSe%9e`)JSp^I+@>cO;6H{E;a^!fyg>@&Q{@!-uT(>uLhr$h&N*{f z7j;oLO518HJGvIRO^6N<U6+~O$xrX^p6-Sn7en8)8JIcPR%ND2L3ay!1CoaP$Bil#~`OZX|gy-^AsVN-v z3o(HbNCltQH{bNl!#|)oj;hqPsu$+vqAc5N(?$o`;%o5x<;GZ8QMJHH0|pWj91Nn4 z!faw-v!2_IEnBHj6k)uJpZb9W!1zfU?Vr`<{F7X#kj%Z5v%#mNVV1D={h#;Btsp{3 zM14DRo2HWPf$z5FM7E zf{C67G=pfLj#M<#Cah zXKZP7S-TF+jGlJB#H#1n?f~=4-)Nj0EnUAk-C*DJgu2|5{d&_`ZMEnjG$*cW`n*^4 zyBP+sL25Bh7ci41g##LNIF-g$_kUI*;T^Qt74|TXVo_79gD7Ckj>=thl)6pzyV#u1 zs$~?z7C7u?=V%QH0dJ+W(S2VbgKECJ)N^8o>A-Sp== z{wJEl%U3T&a4$?&k~l1e@|~FDew*TGWP|`e%bk)AQ zi=APb>r##~HS{VHFCB@AGbrS_}o#+(*Zw zEvQom-+o#``=>-^C#N$F3YQY!IJMEP1F;)_(X+xc1 zLKjf^Q&pB;rW|KRgS8m&2tx2)`dbCOZ)GI>Z@2?yc^?2d<5l9|`OPFgKmUdgAklQr zeffQ@K3x`h(w;Fsfvvw}@NuU&IdQ;;t87dD(_CBOY^Q(>6yzsTmLs#`F1Sj;0l4g> zNT}h4x%hf}OO0*tg7}s;i*V|g9KuOfw8JLpCt%kUPNQ}8O~7}PWrBwXXBumcxqxk! z1KXpokFJJRfVV1Ldrog`QVtN7v{}q^kemA{ns*)W-#3J{?ShMO@ae^D$?O}FKn1TQ7TF)I6*7nRkWC@8ZObmOpQ%591K^v{r(<7j?_&ai(xjD+E8g?6iRoJH769bFF-fR9(4x97MhSk1>jhvQK$ z3^FR*r@5zy>J%l#&NxO3_veEoTRu}M^i2NGQHNVUof9Z3DN^yeAZCoAP>Mbr`aWX) zSbjN#48c9}vFEC|0zLqoR1HlcKcc`qJ3o)FIN2d+7tR-y{S+;waF>;gLt*ZHxwY~1 zM8lhUM;f-bz<6dXCc}CGF5f4UQWc}l{3jnM`ZG)K(6=Wz&3=9D&jDm?^$Xm$0^xO@ z+?-FoKS5&0-3c#sqd}{Io~02JycU9v_YV)bE-SV}5O)(pWgY2mzgzCKRs+vZgvXFHX1kW~|%gFfsCcLr_3a5I}I*Z;V+V0CiEr zPp~^zs0amzI%iZ<;m}Kq-EPk3YdhkRnLiR!9Cq667@>rmW&^x`Ng0AM)a|p{?dbo$ zeUtBcVCAc+N-*h9xU+~JZcX-_rlqe9PBd#y4oDVuc^>!csvvm!*36I=Vt~xbDu~b& zMHfL?JJ_mQD7pFjt=u>scZjJ!0V7)IFpvQKXbeP)VqG}XPu=KraZNgqPGgVUiSbs~g?1?P5w_ye>CSkC! zl_9tnUhq2IZf-lBrzU0ezU*+{-}Z&D(b%n(%o!lR7zQUXS|q;mFMXYXD45=37G~Fk z4fz}Z+|8SSon-;6r&*wOr_Te^!2XnshMNIS()#+k#bloH+)D7S=Fz9MJSGxv%a`V^ zAIemJB^-`F8~272(Oe05?_JRtaeQ0K&=U+(YS{}VP-CRu7$0m+zzmBPW<45LV=pNuEO0x^3< z+k5jw^OUM8z`v4>|?MS@W-a$@1X>RB!3(n+WPMJgBd zo9iacaiiU8h;(ymxFo!uN{<&DFrG*j{ffpA{cUNbMUa=*s>52lp`(L8d)&E36Ra3u z+#TcPIU_?EQxVw5@Ix8r(0JJKSau!h7`H;S{U56J`+h?e!aw+=_SrzUHn3A_qc>l`llLpE4r_y|K{*ggA%mC?LRYGvcqZg{ctPb@e3}5-B+t7BE`5>?H{FbAlHzBxL}~jFWb}OiaW^ z-D>N)wm!-(jR(Dw+Q`91`-)>&iEu}2^o82N%FUgnc26FvrF;Dqi%8{(G}6Ya$3-E1 zIf%+EHBZ>y7PP4}CJmTI5KQ}w-d36zAUTOdW}BatDYhq)u^IFA_wUxJ?tP2-Tl=&6JWz8X5@Wj3}Lllv4gl^Xn?k^c~xuo!NerOh`FYUjTS)T#Hm z549@aInZ3+1o-{FNletc*ax&H92xJh3m^Iq+EY+~OTQo5O3lw`!e3Ir0fUM89oh(K zC+P}92J!Zfdao81nMLko5Ft0z65Q}xv7+ENhs0Amf6nkYy%h+a$pUJ)%J!A4wMRTt zDA-MaAR-_zXM)xh60=`_%Ep_#uWy`Wdu+0`rkgHDXvliihZx=1Lyd%%8wzyW-rhQk zZevh$k$@o_P*vHjF5DqaLzTvNfN|3Cb=B2W0dOdF^Zh>J8Fxyzh)PAYA05-hkCT<6 zg^WMhy%w$VBUM|m#r4`2O#?`+uK0s{$Jy}s5P~j*ftl^F0kZJnDtsC0_21X@hXrY0 z>$i|;Rb8G2JTZTS4W@FY@W#oQFEln5zDQs6SfjtxBT9Frn3^SD8NO5CuC_zocMM*i zpbr|&%0#uI8kz~ee7DJJys_f+s4V;p?s;47nSZ&j`j{4emi9(92=K|R*rzrpG8SrMo5pG*j#u8n9m z3u+IvNC&W>N1eao(A{=7n1#^s*{$8P2N&Ilny=8ke@Xj0En-TnR<;~e9&oL$CK9n= zMX(!GQJnmJB`vad4SU+T&D6X+7XS+W4#KeheOrwJ$Hd<*y#YT?I*sz~<>DQns!uNA zKoY>HmHbK%rLaN;4$?Ree0+;4Hs7Hb z#vu=k5!zTDFx$gDnz>XSi&R-0H)hQrFE!J~m4uZ2?fnz3Ry)gdnj=e;rfj;G&i3DD zjdCSFVo7KE!MTD$H)Be88|=TlRzBWtODa29r?paIq9P`{Q9E6)067Wehg$65 z!N);`n2*P+#>z^e=YKX%;JjcWnxqjUDnR?%-vSiA2KaD#axc(L*5aZ$Ht=9pW_S9Rze|mpC6kZ(SCih-1 zad5ZihL*bXc%Rsup2^dKoxg}?{iVE_uDJejzR}g8Q;joPNG6yUeLja3$)KB4LC0WG zdbq;WW%hhV(A0IjiyD9C`-vi_sXh|YrA&iI_`fmDBx_{`HiO9Lq7nQ<63iG^QH`(g3c?R6=aHhjCn6@Mn2NkF#icGFi{R(VvwfkcVwNT9d(buKEPIHQg zX|kc7b!>br7r*R~qPF|xOq37`7lHv*fdL`}DlnDaRn6AgT4m>nG&S=nI*ahjGR<{?=j(O+0JA5;6t?oUi?GhKq?%tks@W07^dK0xa zZ6);8xm~=uaTzuB%@k=12s~Jr*!hXD@vXg?fi+*}|-Fr5^e!bw92E7wyz)tnnJK!T; zLifhH*_e8%|KoM?W6eiXU0qvatFWq4hXL<0*G=C)JD6||r}jkP-3Zym z770CCI}Nu<3G1eJDl6+=;P@|(8DH|yAlvd4nk9w}*8;H?a47K?XlpB>MOy!F zP{r?Y&eB+lxcD??g(ZQ*&p1qS5P&u9tj&zadAH`MwV0(%OMNCFoR2;I@$&IL0F1}q zF1H2E#SB4r)q>MR2U{ewTrZAP-B(wUeMf=XArR%3gX04)$ED|nzvm_*;4#A8VkIDH^oMa=u<%Qx z@ai>jDz4Ah;tx8A4SPVtpK!6(2Hm5@(@tJdqS5xF8$Um9^X<(qg{1HodZCjh9IKV$ z;5JJ?9prNvQ*uqSB>roMUfJEcU&{1!h0fyS6Z z@i;pvH1WeCJZ6D%+PrZY*kzH$HTXDHE=yf+m6{vfqsKOSW5mgqVNnpJp}l#Z=`E9% z2On>?|3r-LUr!fF(`BPtkC!l`pv+|L#UI$#!4_6ba`h=hZYZ5gF{*KdmbAhTe589H ztB1TX@pJL#N6rUPtjws!un#Rj!Q_G}Nn1UnWSd0r`;p2rqc; zPHOuz7*C+&J&%Mqn@H{l>yjmzo1IMWN)=SX6 z=pCQUmyPv~2cRhQaCfh)G^RdWGiBrD;W0En^yJGGiAb@`OtlVPVyTUy_jg#mzr95v z9&X5XC)2gA)S*Y7Yh5~Sp3#XBowL)7)rkkQ|Jc7yrCXK85>xO)Wg@nq%!PSD%%I9P zK;P>dxbBryc1(jskx&pvz`8f)%QYqi$m$pt=IJxM4|~JddaELXd&H2If#`FmZcjOT zFBZ*oQ8K2`0f~_qDOCcVIBVzj1AavUzIg5NchzExG&sEqYHSYa1F7)v@XX=gxrNO> z(Y0Lc4M<&k8@B1Klz;0rWgAA!IQP1E`xAja&tb9bZT4#(!O95-qW&>TNQ}Rgae#$s zZS(C}H9Hkn;!x)m*`rCr8-bC{XTj}LKv*a=3|ctBHS}ehxUJyx!-nQOj6$Bex}?)5 zlMbdT2EX~DH!BwQFNYcXps5BrO=P~|6r+&ND>#E()}Q?MgUpax-?@TNPqH0h7vXP} zbSWVSNRF4H9eS|25=?!R#@dXa(RZ2{x4omv3@{xhOok&>-uNU5r+F1AV+Nf0a>Fss zH+vFP4go@3{UrdzGa#D_2?*p&PDT+t2^N7{KYNZbG?da(M1BQPOh2SV^0a%@zWLq~ zte(Dm7xJsL*|8pz!OF@rVoxnvRr~n|UrnaTS#dwoXYLl7AW#dFQ)>(Qo*LeoG*304 ziR-_vYH=H~_>+yrMGE-8@?>0_G9BQCNr_Uy%a>TwU@tZ<$3E-CiGq1NCt{3MaInFu z$5w9@4)Ek%|JCn+dJD+N`8c!{(^~g*4B)y^SLbQ{UfLo#kt`xH*PFe(%^q2S8pNvU z5D7#1i%p{EtUt2Y&N&>&q}!-k2>5ft_4+mQUwO;*W*!nacTHXbh(rkptP?p33?JbOthCN|=6Vn1S z7GlkM+r8gBnD@!Y!MXb{d6#V58Bpd)8P2kObw!7zhilNp8Q9+52FmQSP8Xna=l9r- zY6OCj;P`I~UMj4JKwCu$Salq%@2iBRjABFP!C=|i(FTT5tTaFT#-kG{SLz#TzWQ%G z>U*li%YA`eMYrl~GCc3aW~;RvKTTAR?f0H=E)WN~1?gSQ@L70fde*n`x77`Gc z&ws$%8^T<(TF`pM4RbdA1;?4?gO7QvUrpWHfX={>|G6?3OlS>R z5=P;pUVI2}kM~Z1FyPLXM@L7`aRKdh1zc`1VrEX_#NUd;%9 z%wRp>9~5wHws&+1K@%ceq7pXSsxXyBaW*988atTx+O>I*+Tx563}N@(Zr8H?tVvO+ zZ(W@l)P_aC@0uP=>;UNrNS!oSKDPU|OICm)4{ak~&4#QN%n(J8s)~so*zEiM$_sX= zuSygkP6%}Rc|zogjdlV|@NS+2T=RGn36T=TqHn)01Z7wHQAD?Y7YO4g!9DaeaaK$5 zYIwjlPY0ult~S==)_u(|slG9Zt$mNa`Ue4*kn<^zE?JFwP@Z^vjRSQI>UsE5Q;LRl z(0e_BV1k&BMPBpz_Gnh(dN99IIur1^=;A0gnaV8eHg(9KF~2vkGr+OQjXM%(hW?lT z53AjmAZ$l>iWqyk%ZL4V8~+OuR#K_xyvlh~Dk#@YGBg7}hDv#{O#f|V4yNw%FyPMf z@|{5IEF}!M`){RXS!a#8TZviR8r(U+FPm~KgM2+0qJLKW0sPrqs=I)7MM^5w?8ZfR z=|_x89bTE8;b~VJHv)+D{jKNY0gLw~;9Bt=5i<-UPdLEe-CaW+S0LbY_&2PCO(5Q@ ziq%>ruH)d{nfIPczu8sP2BpgaPT7}sC3)%d6&jHI?2<(9e@625VR--az=J{J2+6~t zZNagk5=s>SXSkB?zoP9JOdG`m^S-j!UC2LlKos!m`Pdn2*T}k@iA1^DBh}eO&N%2P+7$1&=U}O8A0vbcb4KF}z))jHOUW^V zLpcSMzvA02kN`SghbdM{jk!JXAG|pVW%n+?Of)2wMxl1UEJch)SmU)UC zE>mu9^D8m?&#zgZB2De>vL_i{D~hLZohzrUL;|2yN~L;+Mr78Z;2h-0JT z-5mfSte0Ljmb&$|RT9kt2}_3zU#rn8BKCw>fi@a2#m|h3*v!Xc#3Pb@5)xk5C57;qzx$YtF7_OqjB&$ zc`AvGocLGj@BicI92_cZyC|ORnrz#)&1tf2+qTV_IN6+PvTZljyfs;qyVdPG^YstZ zy`A$sd#}CLZ=<+-cK%*vBS-v~wkGwA34?{-^Lx57Dldra7QA1!I_pN&rKDmh7f+T{?^{LvRsU1uQ+OvJgQvQtH?zJ$Wx3sP)M-Pi6WgLd$r4&a&d=37H( zozffbRfhr(<_+&)9~p;U;Up@JxL5{iGF-zlRWcLu+5yVo@84#-C@Ewl zB!hFQeE8S{9ddi2EzCf@O+{Hn{q;ucWug%}@iH)g?Drf%ZAwXnJbin6d$~J)eSIA~ zd{LN#I@$^7*JTE-Z_k?!?OONksWJoT3d__9Xz$6}!3;ffLkOKJ=w|8pftSEwe}BeB zwCqGAqppU}Juz_b;V^Z?HQt+hd+UcVI0rOiXEl9-6O}ag*y6($a>s?NoPr9THOl!k z&QH2Nj_8Eb{x06MG&en=(euiAVGM_*?K+`0xeC3qw3QyCOb7qC^HE^eqHf44OWO9`-)mi( zeWsVQKy!E(XXs82;1R$<$HJtioPg#|Bj;+$8ur2>BD`WM#+Z;sbV8c?fh&V~9v(Km z&XSNQUSemzt2&az}F^>w~b7U@hU8?c)o%9WR+>t=|eQ(6}CWiiovdIhRKj#jEewF z8}~Abyd-#Z(%1>076LT=X8~WK!z0o71cZwIOP!B)I@sWkfk*-WNwsBs6vcf+Jll3e z@uAoWca9yC^ALvUW{PMnEr!ofnplz$Z00?yycP}4jqq63M*SrCYLp372TRqxaGNbG zgJGLGhdXaT|K!Cb-ucNQm36RfO96qKbgqBa@OMV3;r)A~gnMm!Rabm>5)%GG)5=_86!(sgHHIh)-6T&V; zUdns4L2(N1)L)$;*{_G#7y*b90F+EjZoKSI~U7K6}?Pk7hH zy2fyBfF@Wdha{Dq3qGJL0D&v4<6Y{TQGg1$5X3({n1D=9148x;<+&9lN z^7#Dh>*9jm$KlNt(Yk&_59DvdcUxlGANlBLDxS{HC) zK4noLxnhr0(zw`s+8sfs{h_QPAL8pvPiX>dkMY94p$MLZ2&^h1mTWR?899^(xPFVy z*XQku5`M>%Bmor*^-rXKoE`m4N$?+Jm`{ZgB}SIas4b@1fO_&gT{qOrkw_Kv0K<&S zsYyagDwt7ju$>q*&FjRx@l4h;S&!im^&9zBS=E-c$mI(1Inc%i$eza3}*GYwWtZToGJ)S0RPjI zgv%1fUAep-XigY+EOY0FdXx#LnI(Il_xDm*pp!}zdidmP=_>ebh&vwP&8_6MNSXFV zO^c0Lv*i)56g_ zewz<|w6yebhFJTsprpOZfxW_`4(Nq*6Uy5b^ZHG`Xn<8}qb3n7*l;*3;do2pB?XCX z>(O6WSh&GbU)_1Xp=b%^cv6WUU67bB4oW09YD4{RlY+2v(EJBR@)-n2-biQz%@)=J zW*uSpq7zD}wA&nIRisQ0?R5Pe1Z&{Jmr|uXsdQ@%f+tiLOYEf}S69;qW~6-eInnkc zw*m9%!-{*AO_1j8brN(>W5Z;{7K#qfJl@uVJ5KZO)fcr!Td|)FIy>p3R+nvwOBCRwz*C-`S?2URAI})DbLKsv6;|PaDKryj7OE z3F;Fj@Js>$SAFk@ZlPgfkR&DONaPUxjB3)G5;YFJeTuIdEpO+f z*wNfe){;v(ZIPIyeN1783sPN)xB>ah0W-?(P^|{}FPIE}LeUVlp^~lt)YM3N7N?}K z);XWQ|6sb2bx;vD#^PfNQ$yz1ohCgh3~PP5V<~Wam$u7%JvhRJh*J((QWgTHz-5Zj zW^%S{p62zt@|7fgUA_kZN`L%}os|}?wfNT&P*^+;0yEpu{foF*xNpfK&P7;=(&wc2 z>n%GB(~zCF(+8Vicdp@t#DhQG$4ZZ{oT&$HTde32vEqf>5&SM@G1VZR9VY(H%(3<*1m&%{MkUUAT3!kAu*&Q}E)$sT zEmC48^&0zq-8xb^xLa?0t)*t&`)%E_Glc?)vwUrLvt?c>$t+Pfk*Dv=G10$~Prhjv zA-fgU;_pEc&N{ju%9vqi-SkMQ-IJD3<2;8iVRwQ})Si=GMncCLw%BKZT1%$TTur|rpnRF?gXfUR= zs+OCiU!f;DxSec~x2_Ng%Mhsc-51>9LAW1|-jL68_nJG&5 zI#ctW(^(~L14~!`x5=#jk_33b?w+2WfP?WTnZL%*H(+uEq?8c~WA0az6k;%7M^BoK z#T*}72rXXUu4VS_9x!33OnFo_e$5WiosVA8wyY3m!A)A`E%=$mg+k7v-?t5 zNRxfUynq@av~*N$I5Ue+27T(@Az!JMLHf{Ki}< z{);Ml^zVC@1RwYh0o4vqm<6YXZUrq=Y3IX;2CYIV=$oZ!iWtFxntSF&K!%X+pApjB zi|-g79NWR6YHguqkJd`90oNsizwrfU#u~BMWClu)-hZ-BzON3MRyDjYN#m~(8mlam zBV%Jye8Ng{T$#0zmcDUh-5e@rp_Hfg%9}rXXq=~A_b(ZdX@`SrclH8d1U;Ek5fimu zHKU4Hz;D4b-2Uh&l0FMS)nzK}xMEwnR>OJ;(Y}y@T5^i8|t{&kRDnh$TxB@n-OsJUB`FjG4##CwIeRjXCDzJWciX zlstMEHOL3Ob6rn+At5dX667CW{34-y_^P|xN!B|cQMv~S)pik! z+J3qy-+a&DUZ|XEc^gCz2HuM2n1XTP=y5A)vG+6jlTYC!)cAO-d8aFg>2fmF5VlBg zYRAOB64tVB5h4frr~{)zBtOWMhZ=|lHbNkG0Q1HxZYxc)r9b2sW=busuZ4vJLNenP zR6(QkDfKoTDv>7H04)gkB;TARPeQRjCYd4w(IXt1{c6*Da}1?6(Sv_k@5mKK_t8+; zzsQH~HcJ6o2)01N^>fQ<>rg@i z^1(W$C!78SV%V-gOy<%CJO&my+(5*4JHq4Qv@_WLr7aNvpIc}mi7bd-6y$ne={&_vqVD)~ zqzpxbfJn~g2cUCwJp>nHO>nP@3JXKUCVop2@=oX*ZGdH=e{@S2Lo$XSAex$E!L7`N zj;v(3hN4uo#BiQx7fqvY!A&vJ%0Qy^C6DC8E*J-q0``2~bRKm3WSF**140=L^H1!_ zro+$>F4TLq_abTTmBrF-5F6Xut)%3NZpFkJ63%x4d?(U}NhqbqMiU=XJLDLn@mi*53TW^fC*bAU= z-hpetWiwh$y@+?&vuPo_2&$!(zcQ)W&Vf9Qk%Vlp2LoP5V1b|N^K{MLHxFkU8#(Dz zXo&-LmOl%mQ!OiBP&7a~A)bgO$cPx2KUE_4W8jG8E1=AW#J9zy`m@=sCaep2N?X+ z51js;D|OV%r4Tj}13*Ifm)OUh*j`2Lsi)xA-FB{GdS(e5|G&Uhba?gam(Q-iNPH3l zbKQInI5cFslstZk@C?$kx7_yJelQu5w@}#UGEnpbDE0ncx`YV%@lp(9EvHcHDZ=HE zzS*gnAeeO-)_ja*<4~Tu4sR-mz7Rs8Gpxu+uj2a4ZI`J-6Ce`nqtFyS+QMMZL+_a< zKtC{3Wi4cvuahG6B1RU!Q}=F$FtnJbx?*4_LiPlIVt)g};-+*P%0!8nK?aDX&s+XjdFmEREBj%qmT))fnxO5K|q2$uls z(NctXNyQZ+vKMGA7Mcz^d(B{Z_zk3i#W7w!C7kF)5it8 z!iVoEB;o|6gSbpftEbV<77z`Xy27JlJY?W9ao2rq3CDeXqzbYu%{HcXw(+@Ge?L9J zA*9BDccI_XStDrauCJA%wtn{`l_ns>5L1p$=Xb)+%$t*rqVkW!Rd3%dW{Gic_DtBl zsz4c88f)lEPa{uBz!3a9IVuaZAA#Ose4_#JR8$7$Fo)PkJz>c!EibZ}pNo}`yv1`C zu}p&A=c|35??+2zhkR+Yq-4I!E@-Y7goEgat6GL!mYMdaA|E93ua{Te#B{1|9SLd{ zzK?LC7h0Ks%|y5~H-x{`j4+V=STQnl`}(dGlj9n8_Pv^4vD7vI;2LCy^vPXoH`VwC>G_lDjNBsd?A-Lz~x;&sh@de5U8}o)7?f1aZ zc@zD>>RapccYNr){#^riH&jHsiP&AE2eg`o$V~+(O33BVZfjEuyeg=-uZ+B5k0*fG zn4dPrE}}d_yD8?kXR-E)Ds-#5PbEq}iH1EpQWc#s4_C#fvZKw19%}*vIrx-4U4Y>J zPJ#7)Pg<|^J>&NlOUL&rTFi`NcuOK|WD3T}&)qOiDo50bwRLZ$ba759QAOcM({(k zJzp`YXLOJd1*ju9XwFipt?4pzK^f6&GGBkBlPDb>NFe~Ry^s4MuqGvl@8f811GM80 zIlH{~8W3`QkRld*YgxRKk8iXHl;qE4Wbg8v4LM2rB7SH25vmse@Q3Gw^MOtzD`Qf6 z5oe?B*Ds@b+7eMNQ09Mv23*qD+j)};!M83;iAnh;S}YdHxY{TX`l`I7L~?}hFeC+( z%BFTzlQNb7XS=1OWsnJ0#wv4?2vLx-6rkkI0Ly{*r=URp+tZ%0= zL{=GQL4lI%_*OcESl550QHY((pygFhQ1R7*=glt0jS1Pq1ut4xZD98>c$Q7+FcTE7 zF-A8ld6Y~B5*3T62?~mGax}^3UjDmXP}8d6XjKO7p)j0nxWL{=2}RFMtDWdXNHhKq zTnx~>0fVTwcgJjt^N+mecg<)VILyIE8RM}9=i79a0HsiYcqErtxmA(W0dizC`D`k5 z)}1$bb3Y=(od|?Bk_2|yL>J2aCf%`w*kTQU$$R$#i05zj_c+0L>g*1#P1=8#cd7js zLnYcahB-YDD_T;vgKvY-aF7~#Hk9Y+>Gs5j2d_Y1}m?v2R@jxQ+B6c79<@2`q)EO-I_G7`xZ8 zHz+eYi~jUY)l9$L`5))6Crt=opvwVTOSx%`RLeKGoW-cFL7L7leYG=Q= zbJ5p2y+e1xY@UR@45c<{0g z^qA*yRhA;UmB=#&|&iEwXN4zLbyQl7fViXP7R^;I>q=1{ zJ5i^Ejy3y_$5%&AKIlut+$CI7EX_6UUg>!P23szH({J{B3y&m&=ia^7-oe+LC`--F zyiT%M`;Ks>C)jLoAB)r!DUqd+)2g9?gC5A=ut6>z)Ia5lQ zSvm(kM4!=Vf`})mZZ^!~&hq5Ejj#RVoTU8%6SI`;lgs^L=LZPqjum1N>>l2D;;-$}W)57}?S`x>2mb+@i-(e~a$N7-58QS2YRO>-I0cK}}==pANKQFSlD3LekgT=UR1~80#sFo0byff`z5$IHT zH;sc_;~n3MfJe_IfaPF$SqNA6K9%yklvh-t8FjsA|0PDmd1L4+d5j5EQEB4l!^!O~ zbY=WyB}PHNoyjhWqGQYM8Lp2~W_w1%rjA_;UM7i{?t-dqJSH*%&_r1e6e2B0!e)7= zi5$h**xIKpO?H$(YdEr{C62@N+(m%;qT+;z;c_3BQUyuC)e?RysFJtoV3 zB`P^|oi@`mto|1)Nq&C*P<8+2&A zKFhP?w-SWk@$PF1U__P^18KOM_{0*r7Gp9vv`dJS z=W^4qyv@wm*TvK>8j^&@7R*SKO|c0Nxo0?QT-^UX6yO%?IegNz$&a*k$QaQ)7Z)$F z`k_u80zme{m-m5f79MCKZ)tGWpspNf!G@(o7UKUvY=?0U z%+^FZ14I+0P+u&x!ENnfZp%kdErY?{DBZ3gyFp(D2cqOFM4Y%r5$VjhSrC#?E&ux3 zsIwzh69I5rz#qfd;wquMqv_HTK?4qJ=BJ`2Y;O`LYKS~8^F3RFN+y9tBL1+Puzz9( zoRT~}p}1R^Ji{M#?1=nte1A;c$8#;=&j&Sc?Uwa7QR^cJh`fWXt4ua?C`Ffe?ZHaY zP$cCfA<0=6K?%`qDz`6_e`%#Ed4k3D{v}Ikv7}(>&AA_3tgX-AQ}SmcHnqO0%+!zuXM_XYzucvLu?(!aX~giFErztAu6svXtc)1$6W~( znn3s)O)#7VVbP2;hn~xDFvmo8&AP=%VM~}Km6skE$;rv-PsY#kyS{Z{mfanP&=1LT zP4BXV95@T9#q^saQ!)vZoBugG7YP^O?N09fNSb8~xfx2MD~{;Dh_G~VJfh!`-;|zMp*UaTfx<|TxZXGWO(>S(et^0v45gtt zKtzIIN2k%A4kXZZ6@uZ0qR2K$!eq1oCx{paBEv(>1D4nnhh)FX@j$#|Uuq;LQHc}8 z735GJ0}+InrAPq1Tshcw1W7r-O|H~(oRe(^Jb2NmXGAFuO}Xy)v;BpCzur& z#F#8PYd*_;>!`bXaO8jVjaJA{MgT4MaN7=BTn> z6|@og)Q%wNuOzHXp8;PL!pb|t^3-d>j4nM^5syA|4yT)J0;>2z*$q4c+a18IzX^UtCy;bnYRo&0$ zeq|`+_jsWv8Z*d`&a_z?oM>WfJ9GBRlac=YK>DB34G8!@L4Xbu7e8Tn2$EI0zdIo$ z8pchW@BNCp6Y})Shd~xO5I84FW1Uta)5+DI_W+f)!p<=<>C=%{b1XstVwsi$;zK)@ z#ai%;EUU}LC}HbT3g(qg*qaLr#5&#uTE~52nFOkw1~POl3dC(Sya8ExVjf)ZI@Q;o zGJH??-m0mY;VoMcTR5+^C<0J4SHuEOMf0C;V}n(P-VJEgw(0d@e9Rd*uKr0rWxSWo z>q6OW20ubRM4f~?#SJ1ngy4W@3A!w#J@qMGsH>sq)cm1;A%T`?3RtD;F+{1qfH3!_ zmz8why}OHi^7)1l1LPHPaA5I$uN8u#pf>G)U|c9Kw%_&_sjHU z)Vsl)nt7PbYGv`}>1p-cCw}W`UkZ^-?5$Sq_bCZUn;#Ga(kZ zR;bTHlgX0YoHUd5n|wC#!_$i#U(3k|2VE@GPyzIHXN1p!XtNtlD{505WLRb~E8jSW?FmCzOUm{*-219atbU<$y%YleskCo`Sl_ zodhbX;xVLo{fW_C_s1I2rGk;kfRh<7e6^A{E=)7gH05glfjnE|GiuX%hsYBuLWj+r zOu-8EvjTvz6&Xto!OKaL@NZ>#MU(ACq z_(JaZ;;I?|KfvE2@G?N;41RZ{I0%Rrx_cq!`YE!}83Jsj1eD%+r>oe9^~X)a9&tzR zv?U#@U*x`z7n=aFW2)t!J#}}NbYlm2u6fw4za+ z{)tp-CDOg7V;d?;7=`l1TIAuTEU{bF>LDf)Wjuv}qjzM-lz_irSR68ccwiVUEOeiQ3goX`v?^ZlSh2_{<*fa5Q2FYW+690B z)JlPMP{1oMgFRy2=jf5BKlmu4cZl@ytziuVRimP##sMki$yH;2bfkf<_W6k zpw@{xR93DEuaGsncR{p1)bh6^uc@Pi3D>_~hw3ok7v~;^F^^4E?!-4!#u++!uJjF_ z&U(*;#DxB!DSe2{mLvM@0_d8c|Iz--uF3#03-q|*=4 z^43+AOpJ8#=sHPv62~DDw+bLp3oc0$n}V;J6S8@K*aM89h2Or_+*tS(vy49urG|hX z3j$H<7oSlKyw_M!+d42F&$^>i9Adrb7L{|1m3KP~9Wl}d&zOMn<;500sy4FNQT*3S z1y&kkc$QHHT83ywqkMi6s_9K-pzvhC-CycidV{{7A`hDop)7wn*5>#3wO*=x(!Uld zD~S??UgllETnt=fFAoNKv3~$XKWfB-4D=K<4a8^UMNAXvf#{lVad~ObICHTJYPG+R z3UsHz8eh~UE=$~@EaS?r1ji43Ea!5i!_02#(%rt!{548W!Ga706$XJPio4~bZz?)+ zs+6Xwda?c_F$!l&@?ioGg;|Bo5ilA9zDcDR{xfhKaG_x=ZtQewpp>SJ+}Q|zt+_SM zVaq%Ixq`=4CTX)90_Bae_jWWq$QyD?Cr0w~16WD)Hn#s>c6S`{BnH}AXAp#KwxGmC zl)f)33a)X|=3x{;#ALyB7}t~f)`QX^po`^RYFU}m)=Jr0OY z6gP*j7;X~$@>64cxY=CL${czG8lR)4Mv$Mss>WXMtGn3V%5hN$*d3V@DFUBXK(v62 z%n<{mw~9TndNz4T-kw|&utEKuLNkccq^ud8x)cajZa_}85Z5u8xBv9RiRow-aj0*8 zyR)M=pX!F&e9a9>n1wqX<&F8ZG~V2U}=mu~Fs#lZcl zd0}pIN{~xuXjf1i(AO0TC1pB|n8k~H1g_`g*Zc&)>!e#sDb9kp)Ooxy8J36e7uq(i zeVEUjIyc6&hJprL6?0yxP2N_iHfwpc1ibc3Hq>u*0}OOCB!exZD{3JnPLc@Ie>g|# z#+srO?(v{(Tn_AFsRy6q?OFcoKxyb8{;3uuBl#blJ;z*eOiFO3){=obMHttwh)1b+ z?DRM3=$n%pSAU+p(h9Bb!B=O0+~d+Ofb+|uiIp;QQNTsvJZ;_2Ey6^FPbvYk`%btX*;}5l{VugaBgui zjZ)SedSen}iJ2_B6=5akF5{q;fVWLYv4~&X9R#It-&*N-wUsbk(Q;P2^a7Tcz-?)Uz{Vfl|)lY`RdSx5G+phICpH^DrVHfe3;7VOe|6iX*U;-;v=*ZF?d#W9Am4~PCohmZIE z51(#rQ85dQep9Io_K^g`E1JBXtz6lu7G@x!Fj)jXEeem{0JTG`P{P)7;L>~R(Z`!N z5sE_*56kl55Ov2D%YC{5)`d{_QI`Tl%if1IgO2a{2lt2e!EVXckXmiS(&QSd^4#{` znl#cP0_I&O&OA^GAhueh=I+mzs6}?8_@j=t-hqKYP!{+>rh+g62DUY(j*PxL)Gc8& z?T6Mkn7!&M9>M?BK}TOI!phL7J+EdT4Mdy`@xhturhTRT&{~E(-D+-zr704w09Pis z;%WOW5QajE54NeWj{%v|ysS2-=-}C8MGhM@ThyuDnA|3zl6Bl0?8wd?sL($h(>4#$ ze)AyNc%lJoi(xbY5fQIB0Bu6c9M6c+-s>#+k0Q6qWsv>d8nPwXzT|pLIjF68_I{6p zO>~m}*G5Ue`@eo9nLRqqt%P5`%mX+je+T~8yPo)f#Z)knx>0Yb@E(G3TvM=}FZW3g zf$>jxf>`+BX4xH}PL>4302;NzBN=HVpYYibrpk-Z_q_!a1z#$zdxK z>Bc5UvL$uP_K+5548a8feV9Dd5mw3*r;x1`uZhhH>{18Zi8Vk*iJ{Lu6?1ssnmFsm z@5QnPQBWsjUs4B`kcQo0%};83*bWBU_7BXe8iO4K=sW&t59&^Dz)h%n<)7sS6@n>SOIR-j5Rbu`&x)*DI0b{q`V3plVl6vP6H zE&lKTjg{#8z2+;zy}?>P*>n>0cUJf~@jleg9SL4Q(&=#hC;Y1FCz<9=sA7ZvhB$sQ zO!!G~5uC<0O2!0E#!W375)GuA7WC}X9uAho-bj7^b zr7bO`ADE)ccWFmbyobfI_yJ@jfP@UtfdFUL>z9JVKXk8H>>FY>`C!XcX1M9$0UVEX zHv*kd2CW{{yn?Dxmn{lvn!|D(tsFt`^Ol+hf7gvi8N#K<{lSRt1`WsQ;LO!mTI3P~ z`Oez!iZ8X}XtYau7ClL0*k&cC*BqT;a6EBn1msuTqLX)Y$2H}?Wt zDr3y=I}(p>qqdeUC3b@vS;b#oaFj6%E$1GRdz;FpkaE9`Q34B3%vvhJr}f0MPMs&nAFSuji1P%Qv=@K zoayi8i19@`9W0DrYYB}@eNsnKDU1rRapwq`FWbHialB)XQETTG|_xc3yMZUO&wCitjfAWP9 zDJm*5@m0MX`dvLdEQKktVY{0J`A-+iIFf(f!Yk%6|*;I-gIv(KNHz1?{YwPbb2n3^M<-n92a=^+iPkl*yy$6H@%=5Y18p|8yuVjpGvnn0M2+A zW+^|pO336IVCU)RR9+ax{#stY+09H$U6$;M{?T3h9dX0D4avi z2<)a5Sm#bxf7+<8p_Hp`I>wHHrYWL^4@ieH+*qwl*b5wz{p_H`=%??8?ooORxuu6wRGA18TZXvIP+j7VF*SkQz9e;wL_Sgm!b!qDIY1Kxa?n9HYbdxH|;)~iy}PQxNeDbakQ%b=<`UL z@44D0ptS0I#FcM`B5aK6)$jrj^Tn_PP*b*CPZG+CaH9i^cRE_%Sz!>-o!TjUfz%oX z*z|Fm&t)hFW^|Wrc^FV24h?^q#zY)6r<1;EXnjhj3rIW3>h=?kkPK%b@p5%dJ#1C$ z^BHCu6ZKAYJS{>L6G514jcdzJk#N8SC=>7R@4f$iL}Hh1A0HY+-iOh}-aza9-yDN! za@KGf*X8S{2||hHp6aC^q2p5EQp|4cCR-;j%u0D<`S4WB-j{21;B=gZ^;7c5ow<1{ z0AV@G)ico3ttzk`hBgf z2fgs?55PEY16=d->jTqh;BJ4&2hfDawHvJub)O~EP&D7A0Pdpye`|+Oinu@!jBXXj|T&q4xr(U#p-_J{LKari!v$6 zh|S%j$NZau8)lHm5ZyPZ&&6k9WRA7igRj|cr_TT1n*YEjBOLL=GhO)&;e7I)T z2a+I`ukAuy&7DfhWYiiLMXHr^T|j@NytDsn{1(KtRNO~~XALYb($azr32M{1ty$Ne z8hQujxEeSQVsAH6y(v2%8IvOdHs1jSCqrv`okOp0@OyahqU4ko?XOwFc{PHgQR=x`r z&xzx*l}NURUxRw#r-~37#CD|3(lMEPm!*Yd!)1&<*95hZHYmEsANlB>jLLRLA`tyO z5f^GV`1KMsMg9IMSDDtE{_j7D1`7IXo@c+xVQ z%7qWVPWQ~w8`*9{I10^xEXd)bQs?CG4hz-Q)=K`?~MA6#aw zeV=KbH4X89dvqf)`nZSTn{4J1w7m2X!A4j{D!4D6>mu%omDj+@ zPvCm7b1h+c0$Q~VD)v_t@cmfHuc1GD!8x&>T45{(O(M2DDBJbU`+!~o@NF^yTrtNT z;1wks?;y+wFo7U_^P5qy#;sq;(*D1iG$xG$Nd}y9~ zv|Et?XrOTFB@jGGS2Pe>p$4mYo1)Tg6!*q0vr_UbM?}Xzh5KZBkgF=?Yv0Hx48{y%P)+s-iyA}Mlev7@l}f{O$r)kKLL%Hh=|DSrn=1O8X|klY^y!I#ltKf z@9vu{KG)r2$4Mn?;jisSes$(K(aHq7=Cyh~o*V2r-nlNtJM$r*AJ_BjwtSTnsG3Few2s+m zve&irl(fSsRtwnkNzDmw?1!j07tDGy>47+o{||4(#@OYaXthzM!p)#|L96po=FHw<05d!UQ3Fl&4{bOISl?y1e?rL zxqlyZK?$J95gO>HZxuOf0YA{M{tz5Yv6KFyl|@^kxZA*{=$fD+l^4O=nr1x-vEax&O=qZb zk;=M5$5=L%ijr!Ws!&~?xrGD~f&0*$V0r02Wfekr=#P$uwt~!b8d$KEgDW$nV_vUpBj^jfN-4vW zzRv~2rq(_x!=a>G9jo!9t_~H!&T_RXfqqTBddjwRffu!WTr`5v*;n-6o2a4pbaA4l zwiP<1V`8-L~}^R8Z0+ZJV4_ zV_5ar)`_tqE0+8t*OL`Q(1PMmb7lzrRy`eo>rL|}iTo^=dQ0IB1Ji#}GvHvN3O@aZ z@RAN-{?-y+^vApI3&0wXq6DD+v60qC-3?L*gi5p=a0&`yqe$|+$VhkWFP*=s5|IRt2q`s3xG;Wl-jGm(j~Vo(H$;PZ=v= zcW1{`9O#f$A@duzsOHq-X7!Za4&W}%VSNm`-yr@k>aP}+1peH+iqu2$V~Z`$x&f@Ee`m`RB=(A@P*PN1#mH4 zKm5cD9uWt=lr6Z2BUOc*-37x9H+mS*m`=yT2qgYxcftL4LE`z2q>gh$E3eWqF4R(y z^XB0`wac;QGC#{`Y%oJY6p&0Hy>~H&kI(8xWYS77t&FR`Fl6;T4uNYUFv|uO&_~`6 zw>JS5#+q6CwGM^m^&r;{z6SOm4~RJ)YWGmF6v)$`LH6j%t#z|IlUKEF&IGvFReq11 z)YR`91N&=rotgYwDf2md;wpUhhVtE1bp=NgC(2ruvUJqkY?J>N^*=b|>`cfFd`R(A ziB!urc(*rzA`(c9d;q3XKx_eY6VW0vU;zLbSxoT09a`)>_W-mBV}oMK=a$^%NF;Lh zvhJjSj184qM9i!AmLcb~enbbrZwI(zDAKi!?A z0`<1e_gtWFl2!ma*M+wRGHCMtEiJ{Bt%{SBB?NzvZeh&tNddnD*unb#Cb=9YWIfdd zMC54{t8|u*{pWBHiK3KgQ>T4V0gZ!eFJ9Rffhx0{?SV!Sx>lx!9r2lZOnbC}oIvwa zi!iT%SQ>Y+=;}JjA7!u=uPPgcDs#YBX4`Nw=GWR3!>Re_&&4K{f72c-QA3VWoBqeq zImYGrwsAb$=CWJ1YnjWoZ76noRVD%v1p#9EC?B4l<9*wQNOH;!Dqf$ivjb$5&Ku$-;YGJ-zKYlHWyk`Vv>qrRUN zd{mnGSSgqkC#52+SpI}1+ZlYq%*W0ym3omigysQ-l*0 z`rG|)FfBpAv6$Q0_#&>YE^!!!$S+6@7tLf(9Vk;e0Xl=je*qFPz49TPlW&97iC99} zCQt~jgHZzvGnJ#A{(5VDE1EZRurO$pgS?Y3oDay&{#@EpDTWsXZBI-*{%pM5tk&s`4Od&azC*#tEKNJf zdW(sdB#&vYz0O9spr+UvuY%u8?S#6`-SOam!3f(ze+Sm?stkVoZJw=AQsnwEoZd6Z zjiM$gi-uBYP0+fuDt7EcgqDc;Qb}eXs~T?r`z$WoiRrTlU!xoG6lKWIT-0^us$U8;p#v?rQ(bjsspZ zVEis??0t4_X7+nFEzO*`$D~}xouA{5M?Rw(y`}%p?^)X~n=)snC4=D~=#t@>V|PVZ@f@4J^fU1ZpW0t8Y^}o50$K?RyyZK7v^Pt6F7k?LSxh@{7et zD1DL-N)$Q}EwoMgwHcqWhq~y$=;|DKQ!4Mt_uM)lUEgMpNNs9IL!o0KQ~(r?25)cV zVn|aK4HKnO$PiJ!q>yr$K{=I$?f@Une_8$z4ICq0JGK#~23d`OvS~56v9nY&t$o@S z-z&~9A}0D|7nXKDx3><=7=M$Dc+Ya^u;$k|6_Nwj638jWR{;{6H6is~74C|ES^RYP z28iWf|0;iod$IAvoLDW+6&3M%6Ie*1Rs5<|&Cd*cxf%f;mkpO!FR?}Pj8B(cjNGV{x0a7$=An1n$ zmrllLu}R;UF~HiGmWn9O0%OwB_b$hA0NGNCY^8P_5uRx2Vn^q5NL>;5awEXD;~fk>mieoV)K>-$bbhA}{~a3?3FmD~MYZ7hYt#zTi6MMR5~B2M zK{gMa`>@IT!RU`qv5osBN;Ei6I1}yPTzy#X-2;#eA9@Ye28v~OKcXtC=ye%{qL?X* z4>pk|-c28Be3ced0#v*JSPEbg==pg&9r>CKMs3g;(1(p8K-Qj~j^sdpxw1SKuv8%8 zpV&cX?26gY%Xjj(YV9FpG$K5=ZPdUm#AvRb0L;;-CNJL_qtE-*$}*?%SNbn+nkGby^S`s zKuoMuFYYx>=|3`Sn$^>x#m`J<-|;6XO=r1IJg-+83;xhJU9a?GW6zzcV65bEFrlwyF5!UB!tG5OTKkxOho&*D4L;G#wc5SRg9mN2+G z#IiZiLi-u;@NqbvOeuppxb!xxYdStwGgVbnTK(8>G#7%CFG9vT(7#86^#NOQJwf9os6DJ~hBxmP$3>Cs%>)%`Fr@pZX9Y~$)W&F{Xm>UnZZko>$dH1x@p zo4Z~8UX_!R)2!&9$Z(r~{E8OT+|b|tHhbmpb8N&hbX_o4D0IihpAc`+#vD0i_;Hd1 zldD~f03xbL)Ma|J`a8@ZaJFjY>6d59%j8YYm`40fT8Rsln&f51K`c+?5emlyljnlT zT(jaJh?C?|He-MC4VSdIc}Z8_!UeiPLKv9UH)CHfNuPTjRvgcW-Gz)v&d$5g<~0>^ zIY(0QkbtV-5S!-R3MPnCUBU;&OuJm8ir>gPD(V`hy+VYg`C$-<)%JufvZJXct`c=e z3x`FUU3Y%M|7|XZ;ejGgp@IZSinyJ6)(_EDDOk+{FTVOO2a(V?*fH|6iKp4kWq%-l zIc|3Ji_sfJmct#KPaY*pM{U3Et zf035?lt7mHb|f0nbDR=(S1z=~{7=!0!C})e6NWyPGbJ-^!X-V_HcUqPJ;P-NP|<<< zym?3^C8bV<;D~K@k<4YEkPAagelDkOsJeTRnTL8BfxG!z(@0Gjg~1sgmwmZ^lEhz7 z20Nv1Z-%GWKuR63iJQmnf}WD5m|6I<&+Bi>+zEi9XP9B*O~vjNdd&hgtX>l+*;|L1v9Sy z_}SqS%W5x5-s{~zqto`pDDnYh|Jk=XU8vpj$Vg!#l!A&6eeH#_DEGHEd!UO3 zoG4;&uU5BxZmja@)``tVD71=>ig8$L&(uuM2C$S{*@9a>abUL>brjRZq>-7drDEjv z1H{%JLXL7%M|!`4)^fC_jIZy3Nt?o&c}vQiQ*&yS_4Xu6G^c<_6nQ;U|E58al_6gY+SusC+I-+6}I%F z&xd}2PkhOc?7+C{m0hm`)6-m-hwOyw`Q~tR++d)~>NRL8nunfeH;3vRTg9m#liGc~ zZib>|WPF3EF61?i6PYk}MeE6%^-Lnq8*@+@W(`jUHR@-cVfU?i+CTyisM=u5Vxb}| zi3a=g@Cj^{^_uAFC>pa=Umj3X*>$M(M{a2jvrK4$Ur?aFM;9qFo6JO#gATh~%~qrw z(0AF6#(CMn_T9^^U=`?w$8P498MWrl42CcK5Z<#4RuEQyYOqswkKJm;+9TPJV-`2E0VM{s8Pepsi=@g3i z#o$?R5uxmT8?LEPwLX3o(|OVo7!wUmC&3AB)@Wto>vxCt3JKFi7FnmO^L$xn`Ec_j zt=ji1wJ8`eR;`st$NMfnZknu2nZG=xxrucEtseyw0xrfV(75UczyGT)d^Nu0A=oCH z=eXdBLovNt9yrfdD>d^le4H zKKryvqx7FgUM)i1DPHOjb4_(krbGvPHN)AEOtqAkaV5^H-N4|*8_{f`7feuhALm7l z_;x75tYjap=b?6z`}pv{RnIe+D{}XFR$gFG_QHGO75;W!dT@{e@)LAK3HEQ*G1O~0 zzxQk;XgOGa;LoZe1^c;AQCg?J(xm+xxD?7QG9SP>bY+r4BgYjX4K{Lc~vT z&3&#H7kMu;lPxgN%P|OZ2_!%S+9@^tME#Ys!O!vT+7PC_X{|938S%Y5IGhzS-Q|}Q%_O{V)fb=i*1#c}S3$qc^M?f!c>gS$*MM6Se%Mhv z%Sx#4z8hst0G*bMxiDB5d1*bgGO@PT6im|++%W5N)B5W@YzXhPB~)%+)+h{KzclaOT_p|~;;*MHGZxyl2| z56XGH?1AvfDpasKXKE35FHQJb@It-XVNUWF+HCyIA9-$}2abyz1YaYj;x;RjR29^? zx(ychQp0$W&0RtFDen74xt-T?HL{^d?l`|~FSrVIo zzCp7~!D=7IR-rk>7G$9kHe8i%(koNPofU_RNc2^Gev$e#KW|2$CZoCoyodLjyOY}<_&QuUG*$IHJ-=Kir=SNV;AMGoG2 z9u?KbvQ+ipD=rMRh#LPSL^uNbmGLd2mJObW<|la?R`&|0E_vI#wDbfk7^hn<8B)@1 z(Y~iPdt>Y`NH9P$00)sYjq$Sf5)N8cAx>hj<9G%&?SARFtK>p>AkS8c?kDtuNuyqU zFMnl{c)hu=Psyb7Q3t#9`*OC6k7UaR`1uc@28pLp#WavbwAGF;6Mdf=aW%Sm>iv*B z&>v0}8^o6$Hc%EH3J9^3$Z^aEb$G1j>XW~KXRCuSO66MpTLczcmm z)&5bW?i1~G8intd$w^HW$S+YhUVphBSXeJ<$@_!cDzy-}q3paZqW{h;iLEhiWz9J=(Sa(vo;HPFEHR9_qGY8|E}-Tbk~0JqMQC0{trW|R9$ zEd!O^C+z(q^!X$cFOQZ+~vtczT-B?|)Xtdx+&^^;5!++q~QC3bk0U zO)G6N6wReVUt$0^!1+uBV44|CAOR$32hw8|9`3hJw(A)qmcT(t@y{jAxy}Or7wfcp zTjGGn?j7Tm%B}(-)~a=EvX)z;Yx`ej?7B=Vp$eyn?i9G&EBr zI6m=H^z>aF9Z#pl3IA!IB@SqK?iGG-Pps`!*AjYw33DBS_d%uMn_-g;U_rhSZ^mV~ zGK8^S>x%@U#?n7v5?sUXH#25^jMbc|*>sP1wd4PNKOk2whP+!EKlKWWDowHYOKCBt z*G8cVJC|!6qg}tU%4kMahn2V=?y6e=m{7(8hyu2AAqjKu0WR6})*QE4`Ev1+)fL)e zI|dI`*~)^&Jh&UGy5XKaaVG(33?Ude7?_N>s9L;nX{)RAkxRibeT3_iqKlAP75;to zeJzG|(9C`iQLO!dNDI?t+5OmbPqLaOI|qq96vI2pyWXt30q{E{4B4SW#6+iK>URA* z@G5+eD?tW$nC@a|8tY`3bSjMo{qkdCYdOxXXgW~zWB3ZKi3T4v1Y)5;Ap&(&(F}~I zjbv+l#^EP(S{nn{O7do+OC~%nkBVih&O9V%R5M%Z7Q`fd$Pzdr^xU$b&Lox7@Bwi| z3;A`InZg!B{MB{wT_9T{1mCm0MfFlNO{KAK0Uru)co_S*`?gJOE7FWqMFLpZ>!yDo zV;0TaC!ypYH9G11g0CR34Utf`CDxIGfVTsZ+89TU>s-RbC8bgH*P{%>F0+o0Bj$iJ z1aIunAw-%!69&2K++)X&j22~f4=*L#NyCesru_AzYY_z07IK&Rr<$^6ap4kMR zGb{WpSqL9sDM`q7Jj;#R?v$74_ywlQ{fKIJ-RHbSge%rT7Wa@83{cQAPBG^k;7eZ+ z(#(YH!@MvXg6J_nln|UHD(ZV0@t3lC*2gkDBU}e{UF+&9PBZ6`1(Gh#ogljVw)c6Y zRuw>dn7!4eO?1k&lRWC3?bpn4`?YHhZ!!O+1KpUpxo2;0<~C`9sY4mK6gu7WMea+o8Oo``592JJXgY6aSgp zKWDFoE`acR|Q%+c5O$)oHn%|3fTo$vS9X31~wRS&%6l#qdctVcC(VU$*V#)J$tsV36Oyf%ux6J{=0n0)Le4D`W3SbTe%IAZ_za@>1W^@c z?Wt-$WD2_p^Tx}!H=-ranos(L!g=<>gHtXEMs;OfUJm`~>} zP7LV8-Me+cb6YGi-pP@WEGGS>*2HjxJI|;6rNxMc3+D-3OwJx>S*N-HY!F+aVfrbl zm3*9GIq&Jus|k`jvEhlO!zEqlT^~#->^_E?72vSBef|NwO^MTMDB&np=ilWpy5)#! z(3_mZ_#VuH-8Z2;5^}LtH21@jo5UW;&cA5auN9$>&0Oy3v==H4HWcOv$o_dW{TgtWYeVykR&p;bY!CgJOTxo&3W4&SYt zr0v(bCipq<`=B9&w{(Hsi2yNI3?T;D@bEBnFm!J$e4Tsc@}#lUzqd>wY{Iw!?P;2{ zG!?uY`G?VF+?JP#4MN_cd2IRNAe<$ek#%I6ddI>Fq(hT)vKug+lb!)Ky%8-_G8WqL z3;95cQyh|AT=BfB_0E}{Daw6`R$U6ty&Az4?VGe7f$B5U#)7PNO~aMU{P?1r^tyTV z=Kc4!ZmFb8`xg^X{<|G#bIsE6jOxnU(V_-;N0Hk7V=KlK54QdjH^xuS_4_gWlN?TVr|Rmd&a(2M zdJkpu)Ot~UoD*WPa-f1b0JH3LKVP1o2b2cmjW*y9TfKy^u?v)P=JT-UOn(m-+7Py8 z%L2Rn2HMR&DYx52(YC`bl*{LLEw!>N-wXJ@c(~`(py!X9qCB6o{CIcQVl$xCHtuV*?1Rd|A6AWn!cixrEDAWP&;i^1lM65e;@W`u`xl95mA_yx z&8AsNz_6}TjecnJIzP%uY2h2go=^$cS`4O{(b;-_?u2BLfr+vs&DchR`p&f6qO~+j7Q8-W8Q75X zro}~7hUA;&THQA*l%Jn~^}LNtd*wpG8)bVq7-^~o!12sLbo~q~i&g`YdGr2DR@Gp7 za?!2;n-QQir=$SjH`fL^S{OP%T(5{`6oVDFgGJ-@KVpA)mx=IcrE$lq+L*YX^($F; zpEW2(PqpF%J0(dejNsH1r4|1ixs0D;^3+F+Gchq)G;1$%xNU%Ch}NjD5OnOK*LGkY zC~DcSW4_xSj8@&}dEJ+NpIKWzM{GvGYH&C)*#36sJw_(CZPx$sG%CFP%R9x#lqsgy z>l{cg0#+@0+^n2MaIYKSiw$rXtiV6z-U7|22YP||I2-y3(SeMmE#2Ld<}wVK@HAO- zHGS!^3@n?&C5%)(W5@2t;gLM8dG1^MK3-_)jA{>gC9 zsIF!bik2VaGy`UtOKeY^8l2)Q7RJPVcFjD>FC}$$OGSKYAdFKF=9Hex$-}52$+^2k z^e*k(pMxBhKAERHe=5q7#|PVOkruy7*S)hi1KL6@gM8giv+#_Zy>TVjDtVD`o80jzRKtUX&G%=CbEy z4Py(q_R+ie_s$$Ou+8>Ovt2!x`f8E51=e)K6I9-A$oCBEh)vGK0||NM^@@rtG|P(S z`n3D+9om?DMv&yt$)-#V@3-arn148l>l-g>5}rY`jy=!E4;LF5)}glIyq3*sND&n5 z{QR%W&;f(GN_Q`{en;J^LCnmdRm0!WWJDF2*(T_TpSyy{qEqx3@x3@ zJkJIQr>`Y3(5k=?KMze_%0Yy}d56Gt(t^>?Xc7OQws#SjH@-PVrjpoGT3}Rw!PxZH zq5+n4iWU|K1v!#qk;_63G z4M)s_=HCqZLl@Jj-!sc?bzBgZk8n>_k!`43AnJnE<6jzbn9JL>cvWd`ewFmv9A664 zCu9sxZU#8kwKq-C5k{Yo#_0wq3+-zd_tm@5%=T~#^qlGgB%wO*jfj4CrYyS+=JwjOv#f@xdW|V+wFbfUd>8oAO!`x zrlN9i5vw2jB??8@bJkG05MbghZykLmF&g;GKDFHpHaK^m;<9x5Y)9@TJQfDq5l+h3 ziiBgx62G4S7>BN&Er%P*Km;nugSkY45ck0*;{j(&Fn4T~YKZ44BVas;*T-LqpEH+) z^{kr6=W=8eNe+WPN?9U9Xd5R=WM5Hsow0x2s)U%y%A``RzO5!3ji89Ja9=G+@*IW% zj~|^Fap^pSn}vW4>Ptj|Do>^5Eb3rAuhAb3?!@Rix9PQg?B~!xCU%uk;oh3YlKV2> zdjPXkuvvW^N(_NH4CD4of<5#RF{%rkOR{-Y!w4p*W8||_fTlj4mJ4wNrW^2FQ~ds; z6OiR-jd#g|XQVo2-YP0Qt#lfUx6p^ogXFW}}5 z)$hh>(W_Hov(x(iGw0UR7tigF1<0-*aD2E4l)rWx|9PZr4bdBxF(a5Bj= z*;(q;1FSTpNoTk1;a2ywAKWDR8Ao+gIg5JFkc0v_>bx+EU>sIWW!8ZO>uu)gyq;*5 zOqN(J_K2xm1+#lLPbT2~Fo%1|XMT4veAMcr7?-BdkSjp*UPD?*lR3`UeX}Y7*FC4gtkK>=zdpxofgBT9)l5FSi5ZIllpO*{A2HC{fv=z8LM4` zzJr0>#?4@@W`>Q8VUL8mcCC08?f}QinOpEvGGD8-R_Vf%21@ZYgTpTswR0sug0(mb1y_8qN3}=Z2zOrH zFl4W|11pVS3T19ETh{`Lf+E;}ndjYI5kfM9z^c=o;Yg8VAFU-qNzK@M`=Sc4Q-vDH z4pS@Vo2MJo^X%tmX{GO=NyDpONuxqqnno#+2SM0#C?eKK$rTC;ctiZDi_XV35a+Dq zUF8UA*9A?v9tc89o7rWolNRGO2Rm?={a;_}VPLKF@5*iqzgv#2woy~Ck7rr2WRzgg zqjx2m4pS>?=s4@AwX&dh*dPa&9frm{xNJ7I{UomXdiBGC>6;SAXZNh2eS*}NB4Oiy z<)q&N`a7kg=#sq34&_HA}-O!hEjn9^?_y5aK(~%DJ8hBKL@aM)}fO+4r zo|y%8FHtt{3;gL|V%N!4qIUaMoLe1UC!zUle<2YL)XP8RasA(pqC;gy?$TTDL%`CH zVc<+M*8E(}B(|>w(g3i7dbP!1$Acjn>Md$+^lq=50}ec+7rYyGF1W`C`!k98#WqWK zj_fsnzDj5?xM$3j!`gziGr=qDb!`L~;~dTzCEW#F4Ni$47qRQDvrj$r^7QI6+$L<6zn`|Vm6Qhhu%c87H@+&{G zXwF^m?y72-_4B^`?Q9p$uq_02nw-u?M2{)KV{Gm8Ao8u6@WX60**aJPrW4qd3bAmO4^ zJiv=Mx#i`6TJKc#g#67AZadp=)c54I%41s^rcKG6P~!{tjs6@`g9j!&cf#arNOPI8 z&ACp{%jLc@!@RFvPJ<|LLBb=_@aEirLSVTKx=)-Zs3*|%Xwe7v!i1A+?0g!Z209#n z^fa?qp!DRjql(L$n zm9#&itQbE7cAf%EKH{x@DGetu$$q19A96|9?AB--98M^6kyfn9hR2KKK103&gY-LM zZYBu4r}9jR!0fh8gA}S1qI#J%hmDlMir8GDbaC{?;?kVrf9OAa$~McD?LQWiwj-D8qE@PDzV)ktVfZD51wX@HQ z-uHH;v=1P9B5^Oo$dUA43fchDvKdpg5o~W}=M9Ku0!suysl3wxHfq31R(rjWUxflTMFKO^PujnN zZ!}DY^n~!>sMbCxl*GkD) zt5k#V7!6j7lDk$bqm9tI>mob|Vz&N4r^bb3xc~SR8148HHrrpgXh+w??TB-dCb#^a zI|O(Ie|nu1wRU;3lGOHc^0dkE{JZ*Bo{ph(QmRpa_~EgZpPL&iNddFlR>wQ5V8$p^ zk_za}c3gw8s*WV(?|k8bs{DOquJ8yY!;8!qm&Lfd@vH=Kg{R4rl|MQWfH$yXyJUZK zf`Cs68fN8KoQfPjVbnoTQ7|Tx9p1C5E?xd0v#BX|l1FUF^R-YC6C$(g)d$0gp6t!a zcaoR=7_5vVI0krmflYBJD;`pV))k}K6G8@}31*PdeZr{71G-Y;+V}IXzkN&$`@|f# zgjAdYKY`PVpVqD6T)u8*- z*YPHL*k2|*Oo=WXT{T76_+zs+h_*SCSJKAjh5^TU$tCw1}H_a#o>4T#(l^jC9W!C6?8^ z(O*+sdpbJs;v_|&)lD3z*>UyY>OSj|Tr)0C<~|tZQKS?MIoIidHL2Tov6-7gfzU@; zx~&f9kdA(BIICs#kXJB^)xrIriIPbCeK;)a ze?Nk3^36+81>hjI*G{y$|LC8&asoF(@RxdmalJ+op&w6xQvRP}^f02_8dXR96()pKq>SKl1+nydQJ-0^7Z2BV7d(c`9`&&QpMOAjcW9Z^Tk) z35uzIjwzgm_62&@&?^9+0FW8FQA7TNwHiz>80?#ym)Dm`wiK<`og~hXVA1DiW%j!Ph!VOo#_7iHnR*y!@jWqoBp(#Twr$;@1q;4rr zNfd$>b>^Nvytem3t}!toUqcSH4bT+<*HKK-DPraYIwvh){}T`vHmub!n*8Nx4kDvQ z1r}Y#)do0&B*G;WlrcpM=}*xwYP#D9kgRK+Lphy8B(Qk}1>bP=MF0C^ZFRt(7(q^IoTLn53ibs6#vU z|3tPoi*R&VNfKesy#zi=B7fbmm>9%n4m_kjjV#8rv{ewwpA&0AjS>*R35(zvuOxB! zbyTM!F7^QyUkA2sRe3JkuXI{>sfDhI=O28m`_jtKv8=h{70|peOhu6~cw9i((?K>3 zM1+6`$U*|o@$CWe8)sBn<&xziZ$i(XZ-iee!D`uX@)#}3ZicqX$X#QQa#@4}(yGn(cf(1LrZ^oN1&qg6H`c!9IaA99v>TKz! zJyxNuq}paJR9Wuq2|!BgBHcx`$Vl^h>?{N0iFZ_jq;S!!DWmBW0BP>G9v^(+h1dC7 zjzEUZerN(`K9_pEKt}~bZCVJnMFU*cfC5**x#hV1%X*7#dipQR7Gh30{wOO@^7T3P^pa@Bp5!6v)=-FSe6^1ksb;>#l`Y0AJ13 zUq_^pYL9ZaoQcdz>|?_G8;;xoNt)1hC!JV|2OR99A9w3}W(FYJsI3)_KO70c71i!B zsc05EG0-cf4o!8^#!0i;JMCOm$8^uWp)cog>tE?f`d1oi??|bxnA9pHMN@n?eC9j> zY5vigsjEleEU#!Wu7;^xfATZokiD?sA3|j~detUw1~-Upab_%rp#LWfO6 zQGMArfV?F?e~d2Tll~k~YF7(J&7i35ru+lFnKK4dy+HKI+!bL2#v4e{$yx@PfGLjI zf>Ao5ugeSlRy7aE?mj6wGNr80~c=?i!) zUnbH+P1-u`T%58>O#Z?)i0qvmZpQ7%yJsgF{KobZxC+_ zm09M9(8j_NrRRjjWwx|?KwHWv&?dnXmY{Q%*J59(HQ^ARH@KYWv%L&bJQ@PaaK$zm+2jE`rTr&v zjLx89U(r*hI!ccvlK0U%MObFTvZu@VR62VqMK3uM+jRL({8IWa%tBCn zW-Qx}xUrFWTz*eu2@@cucONsIOF|o)I59MUi6CDdPEvv3wt>7e>*|qB>k9zNcugsI zgW^pc6ypD#c%+8TFj=pz{8RX|{`35kjr|nw<}BR+hL<)m9|m`zD1o;We}rf^cS4%e z;^99+6i~~*SMd275K6Plmh^(UplIpqZo_@{-~M6VIm_F^c5u*zkA(feFjn( z7sGL0=8VZyBIsv^u{eRT=7T!uA4Cm#LK5|4#n$QK)yT z9a~IJiIOE0x0J8>mgjd!z}r(gDGo}89XR&So$1zNa_;!aWuzqJ#*8NZgvlnh{RYLE6;v(ZoRYXxHsc`)3rt(d*YeyZ%SsYhZJxw z?maH92KS@#ULSA`W}q?7j)~#293g+Z)NfVb(Ri3r^ZSju#=xh{h4b#Bi!77AzItJGn;0vB=kJoLv zwX(abqh_C&qnl8Xsnis!(K$bzD^j^U@mjIq6c)?FagU%&`;AXyShIR*I)^)o)nv`9 z*_uESiVa_EQ|tiYINO;mOFYCh9gdc0WF0FM0d#O865#$1gf=m}88tM^J8Fn*57-za zBSV7Fr`#E8jBms@fXme4;^NpJ75lUF)8$6xc(2iLuboDBA$Q!Dujei#qnBUdz%mjn z>gafVb6g+-CoBvgY5VlOI0&XsT=OdWoa~UV*+%Xc7mjncWaLxEOPCdV(?37ogg<9{ zj-$VN3|FFR{${ExrxmZ~d>a6^MNyOoeqV1%KA%QyK6DIMyYM{EkEe5hhKkj-HPJtX zfbt=-v}6@S`XK4QGtkI^}Qmt62XCT;u zCHY}gdhHZBfB=7--8`7pfLl&8I2x$@-1GKN4hmiDrOekSs#wTus@=`TF+aS{HWBaC ziDy%r2{-%aU>L6@sVRY9fpL?-5<^{uBDqmtqH&j|UU}xV$OmPG%X|>ttTQBAUGSC7 zcxQ2-OVw8?(dKJ)k5t5A=6^aXed;|NTf2`6kGl=iY8QTws+i)^wH>!?hMPn#FKlcC zwIH3oP$dw>Fj%%hOwbDN+Vo!_%h3=Pf~jLgZXrYvN2;VAN%7ex{!YU)ERV{T6z@)#JE9c* zzW$6;Up8{X1_VN7Q#n2NO4MFiN{WgZle2w)mr0Z`A-tLRU7`f6v`Lk9HjJILBVRLA z$1FhGaonQ2I3&S%Bu+bmLu6Z$T0wj;jUWWsT+cokb?!sA%!t(fe zlmzoWl=p{<_$$;zTxfT#$|eRHCQDY9-|aMaV^kG#Y5c^GY{)Z@fWAi%9rz!j%@eoN zu6N(RxcLpK(MPmR=tpEr=>F#ac@^IyDUfuSHKxdj6A}_MtFeiegT&Sy{&XTkgm|i~ z4618O0&wawn&2k3cN-$eW%Bz~06W-rV+kTKO%^FFBYGV^=t~~*kf!S|jUZcEB?##U zvQ9NC=Rl=IKP*Y%mZFjpC*C!18Ha^o$JE1gXXWaaEd2Je-1Q0 zws`;ZA*ESb#3wK|n5wbY<%!B#1C&>wJp1z{;Em){Dn%w#stZ%()A5N(<{6BAC{e?( zr2SPsL4Cdqbm`g#CUq zUDe1sw)aqS5~i%$uT?WmH0flQL(sW?TuO>7hD-gG$fe}7dt^EX(3 zn@H9ME-fj1;pV0OOl@E=@5mZ03JJ>Ea(qd!9vY&!$18CqxKU!V`Z9v+FQ&QSHm}rM zx~B?{eMe9~6hgq!4hmkyF1J;k`zo>jV^Ap^VI+*HKBQsVoG))7Jv~}AF}P$*BRBAH zr4>vj($N{DLDg91eD9*Z_|g@O&QO80I3181SNZpRpt49t1B_<_SPQ*fc3;_$X+MoM z@7L{UW!(F0dBTmcQv`n1PcBNwt1rmfq=oJ}@(gk~(4}Y7_rCiC@?(2ofC_;6qWJOB z44Cb4)hjhc_@n?lP*smi_I=;#^HM)ur07bpbPb$O z%vrLIE9pzI7gMu<{09(s0!G}$Ek*WE!w+C~nf-j5{g3VB9RTlFqr zlPLE<&@lLg7s6Mv&lh}Lg(IJ3-#V4VT2-GE<#x(IW~-*oSpDUKFj!b;79x1tx=ZLt zy;19T6#pd}Dh-1E%<=`>h3cb88hdw5m3YULm4za?Yob+i%Jc$g-fb)DIYr0Z5WK}p z3knYjhKV*Y?f0nz4{&OZCN>6B1(HhWed*j-QlgDe+;~Kt~*WOQGZu4BYc2Z{&L7$QWCql)2O;SBWFV2Dja+YD}_G4Y`Vp9S* z<;%O_X*Hu3SvU5<`K=dt$cRzK%maAZ=A2A_#@^Um0Vz(L8I@-~SsMJauh6W<* zmzCYvoE!&>=OM+7=V~c?m(ZMnpnd5d%2e*&oS_tSfegh|I%yE$*9M6QGQTVlDQN%g z4rj>z0R4XQRii!Qt@4ZmJ1*c8i0q8uSRb|n&!wnS7(L?2OBVS=p=tQ$9?M##o~xlz zHpP(nhdKBEcEVJtxtXoD3t*Q|*J{sCbV)=^T)T1(_#=ypDOfm(N{#hr6pMVTXQ1Mhv<5-+)82K)n~zpgA`gX$zq?~G$xFr>`P1uFfm8##`8TdJk|l zCmte`#_b6k$wdyUL|{QW9_Oc^;4G!getULCSDQ8=f6W2GLySbHMZ(3cNpHL?AIR3J zG1F=PpK}#OAV_(uQq{S{xw|<(0;@uunaI@hiqF*!L2+Z5*l|kr*~xve**#CaW_h>M zg7~Uh^M~43?A>+M)&@D5)o2MCZf(y(M`=nR=dT*(O z;VB8tJvEd2Ao4jj=|YE=w@xiaH)zrm0fIO{0Km5xwHMs^UYVM_VFe4Fpd-#?tk`$g z0p4dXxgu6(@;bX^8spSoDeFniL~J<^T5~{&voqN2uxU{T+lJcD9H{|o=Hch3aM&%h z%g5S~8;939^6ab$KTmFyL#yX?t@_(Np_KQ1JWO6o3!zI?Rk5%Hh7Au1I48wDjT_)O z;$LKga^~7)`{0hW7LnWRsS*Ni z(&xb^&^Wix{4wymsF-`Zg{706V6n4sSoQF6ovy97ni>MHLo*v=gByFJcRY!@GxQ0J zDJqkht1Qf8Lr>Z>0%u%?zdFBLHrGo!2{_4+@zoMD$fE?#q)o;ujh&z%F+ ztI?#&sEh5H(pAwd50U)5b!Jzc)R*IG0loUi5VninoIOvB;5Il6Lsv8xZt_-_yPWQ~ z*;J?L4se(TJEnA|s$DMLIk-sAv^Wlh!S5y1AZLnh;=m71pU{6Q!3ZhMQ+350JHXa5 z7EO+DsCeFW28eLwq5^s;Pbz@J6!L$=lSd0$2sFfJAwUi`CB z%XHuF)@Z9A)lk;l8(Ywpx(oR0>U&MO7iJjbCM|=O+PN@xB$?L=Rxyc ziK}RTa5(MkTn(`p*h>282vs<%BxNH&TU%WwuGA?jlz0D1P9GkVX;#aBQ}!2MEY@3p z@n>!`>wbFQcZbVT>U49_8Z&%cp|zCOJNt6UhFX%-LmEejW$=~+rVfuab7r4vfWR+j zRw~ZjfR;)uVI0I`%`;?l7ZpRkN;Me7+RE;8gV}ynTsqr1MRsP^&xul})|gO=?^F|n zGoH@LHJm441i;<~b(#n@@tIwh*h)=JpT3e&Ks|?t=$98a@;bv1e06z0XK7rh7L3pU zt=Uofnb{5x1^U5yM8CU9L`aXUi4f>d`TVVlVUUFd1;K*Z^YTmENpUBLTeMme!E_je z3lGo?T61e(9YNhoenqZc7rvc8I+3B}8aY4G#n6bF^MwQ~Wr4JimnGBP z&rKg7>|(ESelo8ip#StR|9M%u+0v5VCn0k}sXL_%qt{Yh*L0vwyWb?ZYo1(vKZNk_ z-@iGq25Mj1tmymx1mMFPP?I)#`QyR5k#c#*tVC^f!fM)&^Gc^$PLjYh&AVE@J(}h7 zgepfYZ6;c5uc!}1oXe~`bec)FT=`?fx4oTx&kH;)dtpW<9Be{s~e0EwsmpKkVoRwO)i5wCOOvE9Vr;x&M16 zxbVxRnC~SCUKV+j?Bw;-Lqd~UK_px1VlWuL@X(_JNF^8CX?OsY3C9+)w^ zya&jiaZ9dLd=7sO*yiQvi^ks(3p8(_%U6mjW{+~~9VgNeFVI;NywpvcvP|23L$LiP z{8ZFT&0_ZS$j#CY-w&$8=y8-M!m=PW`npl)S%|bZ-}(K-pf3)%eDA&gnUcy1owp7E zuMW~Vw5kz`Mz8I7y}-1Lo%ZSU_tPo3AYMS3=9~`v+nLT|PQAZi?~X>^=WYy~po|qu zC@SHFi7Kwz=EuLBWRg%MCnW_Dj6em%P4_O&leVaK|8(Im9&<7=CV^TxD#VW_@%;r^ zaH;+S`S}%KnAruBq62}Xmt94nKSu7+U{2|u`qvs1r8~12=?i;#{4A2`OY|#0+mGr~ zlhf?cd)^x_ZxQWVW_D5W;T}*Ac~yio-p@sLLRuHg#8}6BFz}bpxEfi%gp|^TlKWjc ze}r>(|Gr~PSO_9-{6G1bn4wR{0L1}VXe9?PoLm9*uxCf6620=WSO&toGG3pZK@8G0 zOBuvoAMZl>ZGF5nN#@C{dbq>m^iH`rh7-AmzFb-TNG4_?H3wmoxBEG#-Zha`h{i>a zFAP_dK%23Ltqc$tZ-SO7uqUJLxkGyc4q{iYl~jv#s9(dEr^U$0oD5 z(FDnQQVZ$8mdg}qVD>(6pSzhqWc8RjdU}S_#e#wa@$r>d|LDwKC4pQCxsW%nAA|o| zPmQ5x!rXAq-=EV5w6C>TF* zmae{m|J#iG)Qikv0q92+6YmCM8np<#9%;62!cN#1d!c<)#^IWhe77G+8$$H3Mm;P` zYftqEDu=xi!|`QiuT(nE;22(Yb5K#=w}-z$vBG6b`WQgTn) zGytjrI8i`#7+Dr z+-`*j($gtThQ!Q~rH5Ymv260DC3rufGXg)C*|3l8L@6(&VDzJm89tiY>NUO5YuDnE zVdko@T*dkX@;aMU^FKueXJn%(4Z^_JNW4RlQ6d$?Y55ycq?BjeJ+pV$>m9wOCsv=5 z^2q`FSN09JV9C(9#d=)vf;x?-IVKyQJ?_!Ea@vWpaTfJ%PvLb{+5f zcw(s>>g8_}SUO#GNUe+O&RJOyDffGv1{wk_>(soY-9- zjGf+9c*PT!-0b$?NIqVG9hkdth(>wEGFr1!WdiN#t}}L@9yYq>syY#HGdOhRmU`M8NuLk zixTHnrwS9Z-${32EaQP#Yn(raRc)T|Cn_d&YRgaV3B#^b52LO+B!3RKQz2%%vAR?R zPP8OFgHYEVLXzGfeLvfBSa5tHQ#<@_jrp*`Y5V&`pVV>LPCRr9(#w>T+D&{&l+~Xn^kV^z)PTt9E@zKJe#+((SMDesrG@agL8NCXcApR#~7X zh4x!cl8uC0PLnDHwteyEKNxkE7wphCwY#eG_s1tyx6O7H<$?x(n>ncOwaU@I?1_L~AzW%HN?h!wTG|Yf>jb6s5*0SHqGMN!kT|;C zD5qbHz=P}D!_Vbq9VD`n!$q_&G^KJ#pz_d8WEGbHK<9{8j02C2;Z^+YwHN z(f8aU5tTSOhWyN+v%~qskAn)DT~_tZpR=@XUUSIsM(>NpjQS4but4;$+SrCvcTO*DwZn_kTkj9)JrO@#al^c+Z0gOET_GUSH(C}+L?3F zRxo~ZBAuP2@=ZCcL=V+iw57O;1-=Q*#{5p%eyQqn$3FkEZ zU*bqDQIo|tTliyUHT=Kdu>Mi|vBf6!5X3{B`;50h=W|tNBI0?;uy9&>9(^bmUU&j! z?_itzh#Ay?9^fC>I}TO=BD9WhNe zP69=l4MH1ztG?mtYShKop6T*&Q56Iupc~3bazesMSpsgBzTQLGW>ALeZT0<2q!CxN zBfT0ftu=2H4ux$l@Vu`!Q>N!!C3b4n(2tu_@NX8)ZZUq_$G(5$OJjXJU$S zk>(e9w*~q_+j@ILWnPAsw9$J#bT`p>N&*dEcvE*YBaxGn5 zU)R5%Z3T*Mj>2D7x%oXATW|etYteUnVE^4s$LQmvSQX1|(2UY3F=&*zwie_WX76~1 z^5gAVQq|dKsNR zk1Y1jXU{FOw89&P2i~knWBAFo5})f**t-{mUtRTDqj)z!Z57%JjY%!h7I`?D0t3OZ zNuHk#|5|`x!YR4Y9x(ssuh!^bE8D^*-LF>TY_BPy;aEWc#B4^v6lH@h5 z=tKW?5buxpYGZmEc1qZ20j?t<6+>i$)R(jwWH}OARsVX-leY-x{IGr(>1CgQh#GL{ zzcfbZ0*Y#`uMNGHuZu3}0czY)k;`N=cZsb5RFgYAoWGC8D@s!CF}ieHAsAO*jGlcB zoxP(6ZW_*!^3>u^g-0?o33VUp(u% zvTwdR-`Q$PNexz-ly8E5=#;iMcn6 zpXdV?W!O9CH)m(nv1g)|uAZKNkaVeL|F)$66ol4Lpd*1gd&vex*PS#2*gZCN5Iz~E zH$WhefTcif_G}v%diUKv`E4BQ1E%XQxc*eI>EnBxa4b%JTQR?+CY5B=J06I8W0DsL|J=d26g8;=+#2&%@*GKtA8 zyxG!=w0UwUjoU;Vp#qNvIv(Bz3-VjRFMN>X!L>76<3Po}H;gIuD; zi|_PjxbWJGuX~RetW{s{D*14Q*nFbZYOzv>(!w(>I(XZgsrD=fw_A6>l^l#B5q~D( zoXe_zH-xERJPYptCO=o69eOO&{A%W*!Og1)fo7jRee(6C=oAN;b3%bs?+GIiJ3HIj z(xl;++mG?L+Gr-5$EvGn1<7Zj8btxFYleD?S{sr+cuOPWK-;!L_Jio3u!hS<;f#ej zU1fO<%=3?qj({MihZH>=`3GOx1b+i$@-jo_RYR2~zN-~dmZEVQ@anYEH_^rpu=R;# z%u!9*v~gt8z-|jnrzB+gWR z)<1{3I}3qqdM_O~%t0Ie(P(J!qMNZxeb9XDU{!O~i7Qz}XQ7)IZ2x*m{2eON z3Nm{)f`FhPa1ntaDrpV4gb}(+5@=W2eCoUDVmF(CfEiJ>cw+K+teZE3qWCYsg#7^v zDG;m?KsYCR*&gJ`e4okW5yYdFTZO&KQad@+LLn0nDCUkl$@qXwnfW~)X5PESXd9CT zvuKlArph`R7A6ebAOE`+q)^6jq&zy_;cA$Efno{q)fLuyP!xFxMOH>;rW{nVP8jpg zrq*_K3ROPXe-RygOLE3gH_s!~h;$BEN7=7UG2^-{m|vbqUj7#Kyx52?< zj`PJUHyehYE3%F&#t$WKI%NqqWR?IqlBL}>MtGi;r|48sijm)`-g-MTPbDk69pA5- z%wFEcX-Z{U0KMKc`Y~NmsZT1_uS3mzd=6Y+ov|N6PuztEB^2LN*86s0|9*a*xQs8_ zt9jB&C2-w&D@9^z_03O_)`vU6@waxegRylly78|ySGad=oXwv0#S!v9U!WCr>2A0L z7QK2QOTsm(>0N3dJ$Y-H)7kmO27atB3M009IfHy)z2$W@8_pSv4<_JMxHNyeW$AQh+@3j_OMYxsaVRGOytm6wGB0?kQu$c{css zl#9y#bIPUxfNwx&kDJWB_u4ow!GW|#IAq^Ys&5pMvm?}FtD=a>J2n= ztKl~AZP}=ywF9KztTg8d@>CJ@sr71n3_9}G&m|n9+d05KsFF|MonOa;-;?kaO#ye> zMD;RCj7S0*>#Z4P@~GbtNg^kk49}F3nDC z5YJ~*5*gvvV4#S$qa4u6igfOo#WF#07FCy8TU!Q>$e_5$njQD`5cfiXk9uudy&9X6 zl?CyK@IM6=ZJWR?13c*9>tv$IW~(xMhCtwi1QSs}T8=&c#CO?BHV->{J`BFNT+DX> zXi#X1#mUBQva1k~VAb9nmN!9UEFMR9ew!oenTH>Z&BT@e6_6BzdRZ^Y)@AIfwQUDWns|hcWUO( z+ou7BEWayLReo4g(X6iLr+Xcp%hL3WEGfUP8*9mDFs(!GDmBw?$f-7@{0>6Jv^qB4 z`rZ}!-f0~f^LX?GPLW!Z{!Nm2Gr|*aIh*x#S@OLuPg7wfOzi3Wt4D?XjhpXZw>!^o zdbkV0JU1h9qBwdF|Ex$6_%Iriw}*!)wE}QFXvuxXQU6f^6bJB@GT?7`okUNxznf_w^d+p?&}23{KbE!eyxc zevCEh7Z=s;SB=LFc4`0WBeCwS}MZL!(1o_}Akp{!lG5VqlxgdP$U*f@eSA|W-h zn2=Moiu0dkmyfXzn0MMepdIhP#tkJ~f&wfv@!?md__v{pmMMW()Gkw7+qtkNQ!m}J z1{7Zo4%G-xw0u>j<%qRO*ilX{A9ky+$3rq26&4W*MwLGBji)BSgrV=b7Ryipcv0)K zS##Z!KeZJ{Q?j3gzj`Ia4_NSwXe877QL(CUbKQf4)+?ZhGgTDCJ>opX7+YrrX+sOrTXvcrWO$It|C?t1cC7HqT8=H)Lzgw-*#C@=T*x zX|I;V-vT`!&V0N4zoSQlv93G(d2$l-`mQ?xgGNtxMBtF@zK#vPmXfI4wnE*fhjDc6 z4km`#!!UyH*!?`@mf>OM&hHa=O(<*Fo{$O`kx(v51 zSUVx<+>RI?sKLMok@1Z zudlE6$IIYLzHYP@DX4!==1z5)NlOi{C+Lqqjyi&=uRJ(ZW#*KN+Bj~Cioj^IgVxlR zsZ6SfiHUt`-7>O(`V)mk{57sUjw~c9<+ZjmTy*v(>yh2(51sdAC!$nh&As{k>z9+A zkgCA&^s-%JQxo!D&pdPEF5s=_=Xv1V9!i*!l#+91Mbu0dXeF#lg zd){)xetVmv(4gwe8j1=h>#f0Pfvxw#$d zdQj{{^lz2mSW;pv$a>g)4L%o!lDA4w*Ing75xye>w^maO2#f$V-@znV`iDfQtd%6W z&1C0rtx7;$)bJk4KHl0PoTW+JH!nRsu@RZJWR)VY9E*N(ECm%&&(kERiAo4LcUZq= z7M;)A_nH(0&# z8OuZTMa18y$MS$J>sDqjzKoW7j$z3KvP^?2q}bw0-0+eP^%XEH|2#i9v`P-iwp zRn_shzI_1bdi}&nQAuS*1^x@ZLX(ip9O^e|coMnpU~3xLUDo(uBuN@jhttL`ScKm} zhU8V2lC_GhA3QQlS8QkXy0;pxbM*Uuu7TecLsreJKVF$So=E*wRl3jG122i_sdI}z9S}F^BfBrmvqQ`6R zXhg||?b^;jsU8(D^yhG2D#OTr*>h4?59dtqy3n@RX#8`@$)#<;)46&jS%Eo0zptwr zP0o@M(m|R6c#cwIG2gDBKqo<83zn{5DZ~a*KcD%_Gg95XHpv-K%n=(NksLU0mygZ{ z+F9q48S1cEv6lR?DAn5vmKS{?`nvc?&0z)>vs~f%2iX#qO)t&Al;{6)a9D`yYDT@8 ze{Gv#*EfI#=I|R&*G=|Q`uT>Qbz!q0yH^u;yRv@Il<|a(`}x-f5HS7j@&(VvuotFE z(~DSJ1E+p*lv5mCm|SPygk6P7BRE_~cA|gdH-UqZ_kRv&@_hfOKFPE3>T(YQ-u0?0 zU^s8e6X04Jn&(VY^$3(RKUF)}a=*k^HnCPr$9` z!f;BX{XI?5{^=&NWuVG52k6gRzBi%1z+Lf=@&h6C&4aOm?RJ)a1u~^&+|H`aZZN4- zUhzQF@e-jvXPXiVs51v=+rX|Ag26Rcd9;=_(1zuyVyAb_L!$FBR2B<<%Sg+HhW>S1 zLFLLd(kwwLz+~s7Xh>GKjJ$^cU`=qN77H@b0=tVECM>CtVFW(IxQkROZh7^jPHyCu zXfi!YZcPM%y(2sV(+KLyl zE;@oC;^T9TzrY?|ij*yBY``2=k+#l$H4z7g8~QHB?Z}O+QX_M)Dg9k&(at#$|JCN^ zCWyvm1gA3qyIsH4StQL&#A`WTtcdtZ#^8n?w=0`;udumiHW zXvR}gV$-HSZ2x$;NZU+0R=U@9KK;U`0T4L53!{&m1=A+#sdZpDRJulM7ZdlUj3uns z{gIK4D-4*+0_M|dM6@-yuz5q-M&WyDCS!pY2N?FYo4OuZBhAP5{s3Y1)8jpOTnhWp z6)|T<66a1Q1;CLC5Q$w~s*h2i3z=12ZOoWDs8&o}Hm_+033_QJPM57w2u`o|bAN5# zNn$3?zATK-mchoFev>+1e_CGiI_iNh?4Kw#a&zOWZMjzO&?#8lY;SJ^;M#s{y@P#x zpK+9#1H2Bmx}#{!ul>{0cRaUgESfqV9WF(QD(sKgA8djaJ+tUW28g@EZ!t1ITM@?* zWtYtZO@)a2*=8LG=X?8nNTHv+8$G5;)cj7)xXkeL-Pu-O{C9wv&oo);(hFB^rK4jA z1%8>upr79l$(qpZ&GF_g0eLAxG4&6ig@Nzv0|G=mJD!T3FSDpu!Gy%!ov2GYK~IpM z_&&fI#j~_w+Ab^Wj@ks2u5l&@Pwt-nY5$ngx!C1M`SFecQ=rV+LEpZqXmr0+zm6-y zDQDj3)-BCQrW*}+F~m3Vuku}O1a3_*nMM$iLmEzokx3J!wv+pZt@CHLSBJOXYE1N2jO@-@Zd$9)Zm?ZB-}lVYAHznS zx62~ViCDLE8hUe$^V`hgpNhJ~zKGuqouOzBlRw6ErFw%L5t$wZYd53v15#uStxsT!-k(rUq~s)ZTSKkKo0QKPWc(uq#*Zg<<;NqXAy5#+|<+8s1_ys6v{$141 zqGA9zDh4K0-3!vi6PDNDf-Ta#s$mbc5M1NuPN`O^>ic%@S>lkhyM!b_{&k%g<$*2q z{O|jNAK(J{^rxWzBL0Tub+THV%$mdCh*Y2h{hp0maKp4SK&wLR6ruI8Xf zl%BZeeqYHQr>9^a6fnOaa@#>Aw{|zh7FXfjMr6xBW2`t9iUNCaqz4Vuj*W+x$LU`y z&6ce9k8R+y>=z0m{XMPY>4s%bGA`lejxQWvho`$a4JLg&xtnX5t|n>@9QFrubg{dc zui4iBp#BJ!rZoWE0}SA)WH#{ZgPt9O%W$Av1EuEK8%fXRAL;`EW#pGokre>eR7xo% zH9oefh>K;BOp-7<>FEev4;8LyT}tdWQpwXipvz5CH21Sr{?|%;i}q6Sf(rnm`7S-V z2_18NzYHgMKh9u!(%<-ErL%8b>`BrEJjoW3wZ^sfg2qC#77)BAay`X#4Kn;j%!Oe9 zY5#btDB~8a1q@UDC8HgvS|%8Tlf`-JH8NR`)hc(l?huko3Z3z>z*8U6~IPHK3I4+zX-C zucOX7)v(C{2%E|*RK7(@M@PGyQLZ8=NtRJ!dcU(;#U&;Z@q zbgMBoA_r7$2T^R|W)A$qpg06xP|%f#-7im>c5Ht`Q-RMWp&hsB+rm!m0~re*okYfw z{9|WF;HU)VwzP?CB=k_JAeO#bKbP}J=#oWL_Lf$I6|L+UjB|kjyXNxE+my((pS%Ussn&bYH;C$| zo}NS#MU@r|*=LUsa(hYA9JZj5Yt#;#!FNpE{NLIJ(FndWA;iLdn;9N$G9slCHm+Ly zG7uR@4AL+_c?Fnv7I5)eh8Hd90`AAnCJ86UGFL@mV=n|8-FEiSaMxHgPD{~qTRHA+U>3)W${^S`LWzAv3kO>Tf`1@g)(u9M%`uLAJT zbRbF^7O~ry0*k2NavaWH`qbnk`#n-%4=|XxAy(_BLhKq{iE})dN#Kp(Z76l|GPV0Y zzYhtgP>RQ>wc?$0MKo2^O^UDZgC{2=!^!CW8!bns-Uprhf|?w0jOBq8oEf^sI7Tx@ znWY_~k{AznH)Wh4?l1JI^w&@dhE)(WPA%fS3_VY6Ftei7R*xw=fXa8s6LSz#n8(y~ zJLvl@P6~ZFQofF)wu`_`jP3e#gh7eV>e^C3&SzLwB|Rt8qCKE7|Mex6Hkf*D>tE(G zbqYcnrfX$jg77D`#;+&!X9OVZAl77aAOi;T1vg!E${?&At#FxZeXdk79ay3t9)5Xx zDQ(??VA#hD=0^+X=Nz|bi2V=a6-Drn3$^z$+{n~9Hk_7+ypsK-cQ*MV#VOpi5iE_Y zW1FK&vK1%1^%HN?Vs%1AD#?Ga)g(l_vYGjHVVBSI#PBwY)d*3>H%Js;=&qK28krpF zjDYM0hl?qHEpMKlQP6r~s&O;b28@|5x8Iq(rkc6?fz=yiITsLtPstzMXRty|oYjN~ z(PUPmCe{H&l(FDB;MCndu3pb4{DN=}@TnPOIJ-vMq{(^%mF(?cWX;&Ku{`?&o zL47U!-Eq~HtE3wYALwGbM~~7y}lgcJx_c4-*4g=Pnup6tCuhB zmI@nm{ACyi_vtie^VRX3zMwUzbdh<2w2;OJo&YJk<~gk_CV009zeqZwO7K8_*SJ()L(8R0SC0*4 zu(7Oqd<4j=DQ?yN$U5jsw}5dIe|QgOBQ-QV8>V$y4B1(Yr=TLug{`{`% zTbs|1hu?!0&<%x#M`MTYC5KKg$eAl&`qQu<2$Nz`31$?VD-^-&HPtzf7C}z^2~4Ga zbDPmXX1V7s)RT1r`~x8BAs!Vw0+p3|o0g=-EzRhTe3;Q($ah2JL~LW5siQ4v(mx%f zF9X^E6CVW`p)0$PbgrO`G;&-*E1L#+0X8Ibw00_#HAISBX+N6l0owVQ;vYWv(>AxC zyhV*3@Nq_Zx!+oR*%^-jPo+mhjY=F+2b>)J$HhR^^J(RT2&No?iS&XE)Nd^LZslh* z_^A4>LItOgc8k20B})iLmy>E{1Oaj%)km+aDt5-y=L!;@tBWbI#ZGn(b~|h^Y(KrU zdnDOVkT`MJ!v=O}%&yuShYk0>0cXKqh6v4_2;F9M*G`kSXJ;|~OC!-Jr7PPrie_Km zF3k6U%`p<1o7_Nx|Kq^FJfAb_KRt$hTW7nwyMRmcFX?1P)9rN410-KHvT^S*1RlI5 zLz@5Y;6Cu^oEITx;fYMQesU`Fctm8eLGzd*%{&cvs65Prv18F&0G(N@UkaD5vm#?; zVPx)?o+_;UUMZl(dS{@V@J8@te&z!dQ=Wihr8X@XzJyhx@{*O#*mZd02*1Q$C_Egz z(pB_}!SPxQ%UG}n3Hxwu^x)g-8%N^>z?~N%8jK7$HIJX4=xjWmNSKmnyZbZ!3uw>S*3BTQQkE)mlBUGiB@l z%ez8j$Z-nqwfruQL5oqdohmsNwzE|E%6o%oErJ?DsbmrSZd(lorPX56@=^BfC3SxE zf;asDT()ZI3V}$biR_rRX28S`wdW~RUGuxbmb3}us2*3MwlnNWjFrp=!K}0%(9zgY zALlx`Q&s;1h_(m|3zL2w0#BVOOY#wld2zUizxp@jRu-j1k>F9AxwmwGlV$Kp_G)eQ zJ0fFXD!iSX{H=0?goLU^JAv~fTp}yHo-bn-Q$LrP-Ah1nTn}ks%xT?5lb@b~WN44L zEN`3MjZBgndzVu8C}yAn#p-Le+G9X13n8v!(>D2_o&HOo0sL=yD#*#U2)b`|vdCaH z`P#&x#V>@E$M5xCz`sC-3!(9YmTb4Ql#~ltW!kUm)0FB2xg6Yy@k#beB)lg?u7KzX znCaEgh6s2Q`V70T3`<}y7-KolBD)-vGTyR(eVTg*GlP;GUWHS6MN0H%1Vj4Gw(Y-h zSL@3n4C-m8LuO2s0m~^5lkWjHvob&JXfaVt-JKJ)~bbJZSs(6K+wo8&nYS&#TX0 ze}Yi6{C2FMhr}?&FMm&adjy%*FRFHtNsabEPXn@|9zxd^qe)AyLa?it5`cbgWh`s~ zCiOnnObYF)OO*F{*xvGZ>O5O;HldDLdNMujV0Y|0ehb9B;2<)Ff1OpoC%2h?;n|@R zSLBIWmoq&5$_aLejBq~m>#z-}16SRQRee|2^90`pKi-#em^)xP1L1w3LiibvGa$+; z;7~_ZHZeSiA@;+WfI0z%qXV&hjCb*YtOe(!b;Nt@#kKY`DVpZgmH=yuYk?2he9)}G zNoM#jrM-+&T>2ATdRaQ@)jD>cTB}T*lQ)TP9~F%|AYn^eKRA~wD$!o)*O#Y5XT>qB zCXgn{zLbnrk zjJk3&Oi)%rxM#P&X54e%IRmcMptQ%uW)D2NgKYX{tQYq!FgsF^lXLD@qEcujr8VA6 zK)>x6D)W=& z47Q^2cG}TLTjx<(uu=tcz|&K~mA~Iojebm#-MSPVpMi`8bc(6WX*nj-l;` zpl1dfn5fow*v;iS%t1C21DT~f-kBk#lF)()i|;+N7*$rBAKJa8WOBrOb@WBvaAT~- zFxK7NS|u2VEZ__3(eN30;ePV$*-wH0FV>opJAJlT0>>RsYz33EYCw#+R~ zB@kJ3W8(IB+y1#L0lXqNR_-(B$@n!2tLV|i`dy&p!N5a}fccdG=S+Lt zf`R24?3?`n(E$J5^eykP@mQiX1Zt>JbZi+_w&9TK)tG;Z*uhqOH=Ve{-T$0a}q!bM@|BASeTdTM%tL<&sA zj8(q{MslI`D}#Xlx5C^03OdQRiZ+H`FE5+O)qW)91o)h6OP<_)*Q?H##kLN%XflK9 zBBYYOUio>4|EubT3VY74c{7rdtHg^EMyzO`c443)IWYgw$!c+hvJw{mzSZ-H%w8L} zJ7errdqNWj*aC*Wn;03PBTWp*pgmJK1iE_XH}V1m!TgP2+cz^0)KN`^rIf(CmwQE$ zE$$3XVSY9v;PGE%(`7OUTbWB-r>uu)d?~8+rF11Y4&Zqx48pV^DgFEWHx#%vUFcqa z0yZVyogGH~aVu`~HNhfzXz!sUIaS*j1t-r463oDCYK0BlLfz#^zX7_g1b%Dll8y0E zfed1{E(wfAX<(J6Tar|$ zm0~$Qd>VAL3}IM*Q$P16b_s=&K@03~5ZKhvhmpJ2ig!P9T*)-XwW^TWoNAxcR>Clh z!7*lO*@ctmw+{S(71}0daaLZNo=GZNi_)&Lzp2l!HcV4@ku0Oyq%|DIt2ovKxSC!x&`0zpQKf&(40MJC zL$`XzRSdnxg5UV|vZhQX9LXG7E8FW1mMHcf5Qw=YsHVUNjurnmsM<|`9ud2Jtt0u= z6Ob@!p0qMt(Vg1d<;$A}CPh9#cQEx;!UTnJ%0CwF3o*T32-!F!L|x$sm{izt&7Z#- zJdP0P^)wTX_T3MACFy*kFuYeUjLlB(QS;0VIiY2b2IJ_r-JR)QD2^{lk%CxzS!neo9xy~1q#6`J^bY_347<9AWC>x z^@4;zrH9RNTA`tM1Nnb8EkBlvDE657ukms0q}030ksf0Eu*kw*)lZN=#U6fDhWg99 zxwNxohy}k|X}@6^h(8l-$D~%vw9gNV1~IhUw&*mHULpQAB=FnQBxj?|>NKwLmug10YPCn`> zx@h#H0V=jUQm-4?5Z4x!zEa&G9s)J(OAVz$!6h{HR?@L>4<_=C_nFaqqUW=xZKF#T z9HhnbXaO=qSu~gnGBDb_^-H7zcp5eLpEUh8W#vf)LW%LJnc_he`5 zkkB@oozCEDsTrUmZPHTO@{wZVR01NE>QR~IyKze);CR+z|A>HAI6oA6Be)t=Bau-F z{&HhwV@&@M#UX`tHd1$Ji}kDitG6LbMzGHx;|`w$bJpk)T(LP|MoZqsN1r{RIGl&$0YZGObBOB(fR>g3u+Ahg+t zsof6UY9=gWx-u-3u!RZEX1q}ULukAvXD%XXN^x>}x$RL5Cau8AcnU)GsG&jk`9%l= z&%g>YmwEh|ed(>()HHB7jU20iIu-#WR7_<*tM8b$pwe4BQ-~Z%y3bC z*LQ??3E**E)ewblK#&VW16(28^uI+dM%wV@GQb-bSZ@6h|rKVSy7IWV{D`C6b#FwVWGiLrl~W^Sa@I2iSZ$wxj?TcroxvPB*%y zFtTk_kZiZf()a$@;nkF*K6vljRh+Qq!E^p`d^`+UEB8{X85@Ol!xyiNzB3Q94e#Z- zSmV(x(^+ty`td#CW09p5J!v?ThVme-Z4TX*oF>IzmewGh&{c@hYH9bL0MZ?6$7U&_ zvQIKv)Xx&z_l9WI&TQnilYxsRuq$YGe1drFs=O>-MT}mzdQRfLp0H-&=P=lrdZoyi z>FMdDm>?;B+~3>$=a-WCh#Xd?xCWZ-I;?vhEuv zY|Lo6o>Ej9`3H|1*k< zy5{}uYEy*@<@nNsdT=lsT%JAu{27UBB;u2j{A+gf$@t`WX{Ax2rJU9ZR__Cuih~s_ zv`-gVAE(N&haCOGVB#E(yQ^zRUDLPCC)q|qXrsnaZKY-m{$*Bp9$}m}mNlAwC5G9J zr12n%sF>K$EvH&MbP_!jtE3L>cG{){15cg!`ec2I0c)F2bIs zdR8m~@O=K%c_hiMP7_GrIWr4pQlNQ@!OmY>^oK;I*4vC20bM@W;C@#@4dD0axc!f~ z$J34m7fpI!))d$2OYJ6=oB4fGJ~aZ_Vf+B-bJR2$&jBq9d{1z&lC|2ObD`rNB2_J& zHw^H3G!JB;rTH4c|UA zlGd8d)21JcDx>U3iVG4of0l6PKjevH6pe_MX;ge^DltFsLbCA~JtTBy#bJEru%1cR#?!uCcXyKLeu|O|TKTk$Qy$x>f|GxC zH{w$ZHnHI;fAaAo8;^!5ld)^Z516AXW!&O50i`~boMX~T3@_TN-5t_PeU;n4J`JQ3^}tar-cMNQ2*2_sn{xrM`p)VC^7M1Z<+!W;GWt$wJrWpQSDAKx{BunO9h!JC< zJ*~{UJVA$S4YKm>WsVZ{#zpLQi>#K?Y^qS4TuXT8j4}hsg@O8dM)d@u`9!6*!_l9b z_NwS&CT;FC(dzoI5jQ_=Hjn3`#fX3$XdmLAEGD*Y#Qb#=Khj6C*!$PaK6$%IEqnW4m8G#Wt;r7%?Vb zhRyL%lmOncRnj(Jw8(k0<*9<_2tB8YxWBGB#hAb{fjHYnW?r7E5Ju(Op2Kn${0Owl zzXEINwS)>D-CJ&>B#zXY)8>yW??rWUw6K>yjZ$KNwdM?&Ox8CuL)dSsS?ord8@s;? zm6jXu|IQ*)$WqCNr=9-wHUC?xa}dB5S!(M-&^GAzj?D{ zi$L?#g2Bw3XMtt0{fGL}>_pifrhy7M#!5@aL4iq@;73J$W22eQShq89ILXqHY5Fjy z5wj1#Ph8qNxw!No2!d*pA|tMx$$*(7MyTg& z!zz?6rK~b#SML|Y#Vt$%CBFGH#;d5#V@?gqj@(JTIu#X4*PBYRQ7$8r%|0-)el0Q_ zTOlgND=65n1kivH&{z!`PQ1THUp{nllddsCD3m#CQ3Mq)j zDe?&l208kSzw>?uUyCvD4%Gk|;WWJ8&AirE0B59VL4z;S`S4zy_HS5Y$UhnNV73qK zA9bL-z&szuRT1v0SL-w6&9p7d4ANazS`87hQ&+6U=D0_@IIe(?l?0TT&W|K|_A`q8 zP6KG-!>(}d3jVmVuXML%IMTy5u!U?3+1H6?-*w?q5c!PkKdK!p|CzMGj2d!FCuI?wGs|9;fA6cKO4d9m;|L*xL+m z^X|}%f1g2@s2LabuIrKVSTBapj=(ooTIHGX6-x;BlW1DVY^Yk=X_6t`|-t0S=C~>b3!nh%r(WL}Hi&3LJ>eX&TuDtSA zIK}^d0N&5!aa_^S9beb!aWa}uq=!if|6C9(hH^CxJ z52-0+OST``HN_nkg+59en}YGY0I@%}r4mD)5wFG)7%FNrW7K7sgM3>+#owYftkbvH z3gn1IqA($IMx{kjfy!?iiTv0;|JSwoaBTK^ZmOr+D(?4qDH<0yJR_=(OT1LBWu)6w z0+uC{G`CC4zv3j-H!+GoINB<|d@MN@-hUMekk=uGroX)Rbfym;Ldd&olSjzwPso1^;f>0b}4eIoowW z90y4cmJQ%p?XUEO{I=R$O9ozY#6@IALLO2hMLCHuKIcITsu(-E@jR;BJAM^rE#Sxo>$2 zjLDL%LjVy5l4fqY2uO8$ecQ3q9TPSn)3+^F{`6aqrU868c*SrR_)-gEO4sy z8NYpJ%ffKEfT{%bn8x(pJYdgf{~2pYCMkt2ocd$Ir?SPQF1)vV%~scDS&?o9^cIwS zYOO2IziY^Suyc;Int~Ypvm^9dEIQ`AYbpZC*&udD^q)#Z|BTcw1`R2v)pg991q`+sRh;%7~)sUo82=+@8LDqYilj-OdH;GOffE}XzHrbz0! zz85jzedx<;C|C7wO$ijB(xg~`-EF!a>(%lp@dM+4MZx!oRmy1V??G@TwBxtJ4)e8? zH9UlJMJ&a&G}Qt9Jz^aq4}l$X*fe_E4LDOD>R5#j@ zE!22vI_bWcUdL_bv&3-}gDd+MtmLB^ZQ`j|rQ*?dh}uU@Vq^<8@+RT9l~$l<0BDF` zzytj)?=In2IAaJT2!*$(1OwrK@*Dx1w`93LkkIT^!Ygss9}@;&))p71u5lipM_(75 zVP+nG+{!b%MUOSV7QvX%U@88(aZ;nt`i|ZHD8Tv6W$o$8RICUtW6`$*qK=+)ne*xa zB12oQkb9WTTqgc=ZG&0VA1!5YcIpjmZ&jL zMJA2Z#IebXs}S3j!3q8SSp^pb2ay56PlL5qS6ll}2I+2M)cQH8_#-o1v$(G7cY16s znC1Pz@-v{XpvYA6&^uA&Q;IV$wIl5&oxK9fEFcJ4UW|RE>hn95pO;sdQpy{cq1MuX z685IdW?AfYZRJE)S#kohl6am1bJV}tXCp&QTk>~F;te0-t;_3ASu2sP6c<%@T&zS7 zx&+~~eqwHc8vS__xYQmV+AwnSB&ILHzGc2pVsURQR# zMKLx>Hsz)>Mmc{IitSVoiJr8pz+ItDXsVsaL@V%1XlwM(NM%iqjr< z2f08lWJyT`#}8HHF*9=R8Em*F$tCDjND1~5HqMeDOr}L%H@pb7=lqJ1-+$GsLX&wf z2BZNjS{FLoZ>)`?<6ckYNdS4Q(?0{2ZhEW9TOn@S6{uF>l5Bl2U$;H{_c6KG9m8R@ z)8`o|Q$2*n;g8?d%fT7&VU=Ai^- za{G03xQ2h6iw`C8F zt=oVm03Zn$xthb7{1iNIY0|aCN4rgUof}}VHY%xlOU;#*tFTf9^=QoO6R3U%IlRLc z8x%R`8{dT&8O5BEv%$;s(g<1y^rs@JF4OcP(m-`fP|7rUC zt_dJ~1I`3cSy8d}Z5}!_gN!KYDil31eESDi9wH7SFZ(Csa&2wRvH={1j1kKs&%}J~ zkP%y6vsESGCL@?4MA1RB!Ckvx;^} zAC1ft^s-|*O;t=?n57|~O_(J6Brr(`f_<;~1Z{?8wUH;)IT=K7m(|oIDd%N|Y(l%b z%N;b#OSy;$@{4iO)B1MIGgsgb=rqPNiIsK4^r~>6wllaJFw}`DNxyW5UvU9@ojCJ= zm;A>fhflGPHWy}QjsPM2q|0!n2;6b6edZheFY1PQlrE3Cq{4K*onA*#{tR|?^uIty}4oYdben15qyQ3 zRiFm&eGAyAF_VS6^Z-`B&h71==b*bcSlN7%q{H-eKvEZ052-H@Y(bs6Vk4 zpSyP1N}Y~h$D=&i_8svPxaEFTZls)0ZQfEXi@KMLOh)FW3;w! zQtm7zvjNF7+V7Ua0;@^v9~(M{Tjx2}HBPZ9uNr6uEA%W}X=y-A#F_;C)uQOf=h7At zJ;T<9+DE={aSqx6yt)rci~kbB?)?3O6UiU+b&7)z#?EM7+ICU8MGr57-L`bY;6WK9 zn`N|M3c^B}9inC~4cOTBaX=3u#-yUUka%5>Y5RU?tK4X&xz+r@ z(g2e!gKinJ8|#M%Kd2&>umju)n?Hj|fMF=fjsu@euw{FjRQx-|4J&)^IS=^5%jJ$&t|q#Wrm&g zPA7r=Lh(E&5F`Fhi?@k8kcs(rVi4hImLnz)NjW&;V4Z2h^Ucd$Mj$oB(u3gdSN;+5 z^0FbRKM5SyBh@bpY#Lq_6HmO-NN_U|VFqJSVkid#^c1E-zCbvWd^Y%am2YBXln4<# z!OIZ%1rZbbKN92bsDWaR6;LL?JiNyf)Td!F_ZlZy->tJi$QC}^!i^rgldd9NHsE=N!JSG3JLsYZ*_sEa6QQwuH#%`8ig~M8ufk3nI5N|2 zqVxGJKdb9CRhY6U@}^ea6ySfG^s=Zyn4K z0eu&kuz6rn91-fk0dxbhminC1FbN(zm3d?7mjS|`psgOaCUD21O( z3Tf)7GO3mmXJ&v4Z@I(k@ z&yF3?5h&c(Ga1^*=S7b7%Ua!?{Y5YNh3~@$@cH-)&p?1uu>#UQ$O|$vnhJL+BS{hh z-fG2{*7by86x#lAWI}b6}GLaI4p`pjdr;zp;yC zh?4dIVb`KH$Q%dc0Q5>*>|DUN_5YGc^_P}SEjrqXg4uvIG{+!u{PXVaZgKJM>1j=$rKw3>30aZxa7vAO z$py24AljkpR4VF?w_4gCDPwX{j|)0j6Wfen^>?nHV*hkmfyYDqCN;715S2P1W;;S-aUZWHZ+wOqscRz%iZ6<851wz-nwfC z*2vJUIZgPHi>d4D{1Bo2Yy6hftU~gWbe?4KFb%X+9MrLPJq$jZorIeC@+hXecDh`lLUA(eelccY{tCJNN%Hik ztg54@R+?FG_%tKW%r=IeVV<1TUNpDzdwDB)^O4fPWdqBSF9xD!3@&nZrd)z8Y+1+d z5jLw6jt=u*Yo}{_UWvs4DS{?r+wLkgYW-|rC+7W@T4?;{==TOig#`n@v{Qp$DO)>hb zmX1e%i`MDs;bAlVJce@jv0Tvu<~)-4^3R@!h%X(>P3qH{%R}$ zhJZz)(rC@6+J3Q_pg~QDnV2297Gnbz|0ioB2G0jzkp1$YIaBm|lgUd@Qi3gpA?OA; zHI@7lfq`ni4?4!NdZrV=U%-@r^k*2;3CUxg&lRY9ZzlocElNBO5FJNN>wr)H1si;2 z>A&X*nm<5PD90<#@2&449pKn$c__0g{3s6**6@S}4$ut8y)5tXbD;6c77q#QFQTI| zM5G!^T^R3=Nbo(w5SeriaGf*+o*j^$6>3<*IFbS;Y$ZIbf+u%ml~7Tztv}LJ6+NW{ ztGZ}mgk3SZD_g0jX!9@!kZWfH^=|4lTP?-7!ix$;ud0S?R~p8wvUtm(XlrL9IaHQ; zM@rBMEz~I+1ytCc|9*HIaI@NdSwax@vqGZ}ZH`S}w&b)sovsP>(C?M>#CcVGz0LBX zb-zQcT<8*OQE`|*;_+fBbqiKY_L2mlz@Pb<$|>FyF`xOu>eCeEuDoln|K1`5^xN1y z)WQhnFUE3a97nfyh8fDkov+AbtnbMkRyRJpW0%uuUksq5T`+>#+1{c3U`}Upjg@g! zLO|O^nTB3!YKmTlcpCbP4t(ae0_x!b_5Dw)>XOF}ewIJMA+g@}wmsziTtI!Q3?DH* z1A-^PQdnIG6=VqfqI7j}c?Az;Hp#}|P3ww%aV!S6Vh06PJAmUeY6bZPtQBAY|6Ney zbV(@J=XeW3&-#vcTAu|_=-vqa`^_$nDEXf3iPSIZSVD|YmVc*!;m`I+-Mvl zN&>^k)TxM4)ltMrgsC2?GB0x-QKRMZp0vZ-GB%GVH_k1#z*c&6c2#ghdPQ2zyle~e z2dPt~OYz89fx(7C|AxzBfyjq&qDhlJ()9V&&fuS~IYgqEW%}vmv#qcc#`I@4uTa~f zUVlRiU`!tQ6{MWLXm2aPLPZ8=b)qSfu7;4)-u&N=gb8OoD4qb#RXh)nzHX-+GKVDM1= zp~zJ`1n)x|1Nv zRA$bOa=d52t@$<}_5~(AYS0Saz2KPs_Kn6uPx3DAfNSDgt z*!Uvw-N^uNX8h_da&eDSOSkyIG##tU%FeuCsO;$Lo&KiASZNBAFVJ1^IRxvE^_gHI`FB zWVlVAZdr_A7(LlMm)F`#tqeE#gOK_>`=Z=&u&?9jfH^efE`56j6>G zfduVK7dXmI+$l#jM-Zn(i*{WAF|AvHfUsodZG>Jp%>7=aqQh8G9$sbX6SOh*wuDeY80C}-7 zloxQ#fDi(mRu%gvT%H)>vS#sRL+nFGV_K-QOg>s(Q}6Jpv~TiSKynWVjb8rR`2i0V zj1v(2yTPLDTYXj};kwI7mu5Yt;(U*~!<<!*m|N3bT|AnNAAtb&UC6aV8Oe<>Qk zIp~o0#(MEGqr5>Pl@`;})$^6mqukupiy%09z|Ic9Y?`%88JLK@0Dw>(9ZY!d4&{8p z7V1RDjIvT(fef+&uCj*BRrie8chOq4{rSi9r4OX%X4dTv2+|@3jKsNNg7a511$q}v zJ_lqylzfzWqoKyJ4HbY?^#aELw0=;mfIAL6Am$t`?w5tBkKE5=K0l)^QJyEBFQ2t5 z&h#Go^sLRPyelW1DX(dTSPL$mUsv(G8pkce>}`?RxdqJKvIP~t#J&T9zKm}laOOTo zLI~Oi{KOVKM&qloZyKXUsyfuP&y>5atl{NXoj?2?@e}N($2~e#|}nP*OH` zkYiN2STb7>DeK`?=3?usGNar)W|a?0gE2&QU=+FiN#gChdj_r$G#pDQ|e=Zf?Q7 zqVP1IoQQ>^@<_9n_fV(#N~KYHsajJxnDY*MA=JxR8hXAcA)BOhbb6G|RoZ%}hPhHE z!O4vSGvMbTQgaNlQhQhNo(7gG3{o|G3PE(fo&JI|@_Wri!*s_Wi->}`H2UMg+;9AK zFmN>>_6%~&7=%9&tU;HsFcsIgSM0nHn`aVaxtWo-brAWZE{o1()x8juxK^Sj+G!es z0&O*ojSCzQbw)7N8_NM{VjwUvh^H5|Na?M$?Pq28fbrLvl=@YuziINzMC;BYF+Du2Ke(d~u_MCr7KVgNpLmN(#P8hmt@pF@- zr>DSwnznT)=IR25Pj7$z&2I<=z`!fESp%8(E{M0odL`!KcL@@i^Sh*j1ky_Zgngl-?h`T2I z58S}CP&`J^3R&PPyIW1JX^HFWG1O6hyFB@w>%hCe5YpAol+CfW&XTgY#Jc~wT%}9| z37bmO8W|go&eybo@VMGc3N2lERAq3O$asXeIPNX?+$(AQ3UOwg#zyAsefX0{?UI=u z^PwErgI13zxc5G$;bKr9&}SM#x!B}JSl=NbN{zc}g?5^epV}kXiLHLKBbh>RT7XWk zIl?K>6iR~IeZfk=(Xwn*)oz2@0=Zv|6g3_~o?zWlx#I;di8(Wx z%G4!p$2bK3ZRf+q2uSPh?3~C8zpwS8SHw{pV}WssFFbC=nyDL&sv`GW@+UV{w9j@w zqN%-Y5k)Vga=Mk{ACFZ+)%FleQjPK~ta4W&v7;)wol&c2p*O~ekf#ZQcYg?JfR#jXIj-nD$%FqUb zH!fPJ99>9w^>IO7mcUhS3L0Wyt&RKgN&AM;NTb-sE8a&xpD)nu^1Ip!d0T^$yBWQ) zF@BC7p?k(5tIO3dDf5OnQc>2D&1~-@0l|#=f|VZbt%D5#&WMGdu-Q~aYT`D(F>|$J z(+b{e83I2(C{DNmcycQ{DyOm9Ma9+vCY>Os56FIutiKF*&{vJ{itGZO9yN3;ot4AI-|P46mZmz*$6?VH3)zh7Iji2*@k2@Zca{?9ba z_0(VK8TXso=H=lF?%iS*SlY#r{m&`BX<7}7nQb#7^cqXEkvPNNpLdOsOnVkIBm};5 zE6_(-YH+AS;ztb%I z{=oNxw@fDJJugaA(73b;@t=5xh^X+x1*OH9x9?c1oJ~v3H-}B>mjaQRivHFD_P{mA zkBQ))IWq>c``xVgOt7j*N*dE*wuohhCRl$qH_4)|72fz+acnjMRG>If#o#=4KnAY8 z9p5($5V6SW-PNV))E>^y(CU}y_}s*Ex^wBD$H@!bX;3MvQN7*d*=+>0sV zG@dGEl5}L!cymxM?QsAj`mYU-h^7T8#x_8vy}haH3YpVk!t? zH_U5fhA~dqbe}MMBtgIIT#XOqrE8S$t9M8YwLz@;!CA2=Tk-&Rs8CwEG?GyByQd;= zet|_=Gj{z7KFgeJUh@h)wmm?>fuz1MP6<@lLk z_>_r#nZ@3Tu=EIoj)IeN5e8?BFU;MTIy9DZP9%X=U6y+4>Ud5v#%j6@zrcy{=lSE} z(m`N%)^-W9z$o|Ob0Z58(eo*G&~>B3mxh%FO9!DX{+jL>G4SyjzNRCg^f!8vl6d%g0ChiEu zg&?n8r*ieGGT+vF>;+DO3nxxzI%jANA>7O}8B)4B=UBUXa(c&im-s?+C&ZY;DohaK ze|;_O^9fyPtTk)O!GsLyBniQjZdDCRGdUfyNLD5W-7vn8Q{SEXEz}-QKQcL#JfreN zkwB%Xk1K@MRN^5=Uux>=$tznaRLo)m?VVH0D-pq2V36Xr{e9ul9>lLR&YND4aoOGN zEoH%Cu899a>x%WLD0@26R$$=WpBU(9_UR6}fafRh(L$m@Re8^sM7wWoYUNU~N@T3m0dw zQy#y>ZmnoA;&lF7J-gK@Zhbx%dKze4_x{)U@9c@6z4hBoWiB%NznyqFT@NjR*N=xk zo=OtuFnR7oaZzp&N*g)!t_;f;ep;X6+**HH_8IxU$pab7$F`4{&B+i<$&Ji@Zg5fgt2H*<5cjjyOJ*Ut=!^Uu zM`_p zbqvav{ZG-HP1RVEel+P}r|?v2>yws)P)KQs zj2uc$-|$j7fUIDF5&8*+TwXf)&%u9@*I;`NAYPyMxo>K2pvr80_Q!2+2 z+i?G4UqU*fyokm&oCYD+{WVu_%M=I4ue#kbSh_i7Hk2;q^reV4jYfv_ zLO%|Yr4)?pkl^!BuP_a{Jt$;;aA zX4Mt@aXS&bO(Js=6sITqmOSzcEjUiY*jAWq4&gChJpd=PK4P!$GoZ~D&R8r%F7E`s z^nT!k-m6tui=0y>_g-mnX4sFYGYy6MeUzzN5^x07$|4GV2HSytWtV2eitZd?23rPw z9V*xnYep}%VIdxV43pQ$_ByPUWRm5f_c_p$qra^h2qx2rC8~BLhy$6ktgj;c?qk9W?fcslOy>0A;~W|^ z0kPVaj7@>Jd?YJ{jF7VWvoF$Y`6s5pLKHWNo!SuLQ~#6*AY>b0;@)MvnT=cnVxM-( zmI!}0eem=hF7l#r2 zPIyH*Z(tq(U$H&Ckyxk3dvH^*>olhZH_9<9 zi*2kmMn6%-!*Wtx?u-y*l`71OGU})ESd!yrD6<-@sHQM=wx#uXlIxq_R{F?O<&EQl zz8~ka_@@khYzD3~EQN2JeyVMJv)eJ=Tfw?iFV)k>ys55HobUn=euc$OfQA6FIl-A# z=VY%tcN3sRxJn!K#FhT|ek+(G(ox-7ibo(b=^+ODjL7a|P_Kf;l%zBn8$6x@;xUk=lS_8C94{~tQj zAjD&1@e(&YA)ohOExwRqe+4}b4yw1R_1ctZkuTJO`mE(H?T6Kai}mN5=SMX?FV0L^ z@M^HRy{K5QvS!lHQYO$ED`?=m_4#EpjvuDq%m>g<1>h#PO`n-1kp2VT*b&G3f} z4X)e0P6|{5b-L|Z8&c4nn$NWwi2Rg$zLKjM+fJqX+uCZ;jd?byi!IDIJ(t)aZCFw& zgTL-v&E^cTJcULIE=`OMKG^_e%Kh z>~#+}yZY(uP%|H!yNsNL*>SlyXisR5NG(dP_Fj>6x?Rp4zXI13zPwbwUrj4Nh@XBs zkRZ`STAJf{{Q&32nCyXd@ky=x3PZxc*(aJg#F2L9A~WoZG`&PvmrKa^DN{MD@3Vu; z7BRf)P}exQNeR<{USaz0Km6pzf(D&gn&t9ekm~h~K}iY_Jm$c#)n?V)5V)R&TV-Z3 z#}IDpVSF`R!O$0@ALsGwp-H^I?WwnO85E6oFN0K!58&8LQM}($(>1rzW#%Qtj0{x8 zdrQDnD}lusVIOc^_z!Lq-@eljuqb^Avb}&n0wj}LHETm`T6L?o$0Ned$NLE$_5L(P}oXR#pg*7UhHkWJb7-ngjBsV|(PDh+$@%Z|`JF`a2~hFbiG8zLMBoL7%Z zt#vjlCj(JgKBLC*Bpan~2)=pmm{=OsegtKQv~n>0dDEeZTpIj(+Rjo)j&px+%y{=- zR3lu((Euqen-Y8lz=htuWPR#CO1-8-3TnH@v}gp#Z=$X2B&A0N+ytW5?(7aj-yL1q zIa2RSR|Ns5hm|o%Uit>Oblv*ZUka#T!Q0V<>aouELR93u}un6XN!dX%5`jfo+M^#J>4FQt{umUdAvzgyTcg9An?k z+QD+E{{e$DJbuvYQB$7zmGay)#_|NGxT9srxn`~xlh@m1|k&h2j<>$dr zT#dJXy8%w~;TKae=w-@V1cYMS`DJaV&oF$H&vw3K`vkLbHd*0EAk-l$ zlg!nphLX~IdmBN~9c-ZKR?Bp<{+I;p6<~^mSE!+pm8;OLBFRtD5HYSLRSFroq*8ToIt=_uHLHWP@+d< z^D$NQd3=a}D0Bmk_Omq2FvG1O^Q$MuVDW-2eW(Z?LbOf0L9ZVGAK6xRC?4c48y2%0 zT1{>0@b0QAlyk!Jo<63O+6AipKDVQQ9M+X^r7`VMC6mt(iPKDNO#S`-Vd?8iJ0+o_ z!IbFStSTWT4Q1EF>F0akx2MLJ#KhHBGnKNlNkuf%;7ZJ@0iP>s3Mu-6ZQG2?HnoM| zjzSl231icg^#b=^Lt0wbob0j-tp6Mt?f~Vo21?bBx+S-7*Z+5KT>3msl-?K=|IF@= z{qPF~ER@e+?kP^^Kuu%L0XCQQ-3+#S=)E$ZHYuZAGlWi^9SFs@p%wD&=bJB`m6v@>DR%=87U61N^K1A+P>2KS@xIVA?{aD? z!~3YU4D+z{$5Yppr}P(rHu#{*puO1dUTUW$vYG-b(awk6_j;BdRM#|b&q~>OdU6kk?TY%Ldkhav2 zg%g3PRA!+A_cfQRso$b?-?Q1H<`=$O@XfWD8k7UVF?P_a+#=!7%68f0b zZeQ}dqQ)?_>)5HxSyqDbSToB`_+~f(bIWeqLx5P08p}4@c$`;Wdj-f3dbWbRJwO|M zk}nDKygB`opB{xKe(3HFFvsn;n@@t8++ihkQXR)xnDx^blE@o-mq^pa#P~JJ>Y}%V zWd7ORtF0Lt>UPt?Q4@(0Uw;}jAVu&`u+hZrrSzL(W=M8FE#-ErH~5v$+ygoNqhvk& zp6}{RKcn?fO3`bo#gU9!Dd(_7P*s~CK8Opy?N{_p))@8=Dm@Qf|fl| zf{i3g&gLXK)T#4JEsy2~EqzhnnEqQ^KVB6H6|9;!XqK#|c}ghotZmWe|1CFVYPVZ+ z-f>ljW&sgGeE5;1%TSL4+xALmi&RaGELXh2&LkBP+!PR6HZLMlsM-5U}rGoq|XA~CAN#EsP?KGQ=BRlOt& z8|;siunqGmQIYlJd{T~xth^-G=VrYHBdMNKaj~b&d1_BZw%|bMJA#Df2 zpn`^qjH6+BL+UXQ`WTH(k9aNMeY(3_KXD1%@t{jJ%3ea0qSE;;H)$615_n>Rzb@DDY2mcpM@o)gh* zYx2bU$8^jSiZExLRmF&7woMk7^(~*qwu#~Xy|KO!RU(J`7BnGlwD{i38W;inr{K;S zkERAHPkNLUDQP)1mIbf5b5$xe3WQxF!{exrHx}F}@AV>*g+W;u7FS6CNFd2dFc?DI zZ3iiVft)hh#Yh2~4GvmkETKMV-vb>HJ}pD878X|P>A%EuW+hDrY)>|i>j%PD7gx8| z6-V${QVk=>U2?L+&BAsI;aPwpd8l95!xP0IVbYLCO{K!MnrN%y&?(JPP*4z3>zTtq zGv07$(fSQs5T@T-h5GY{t#w9*d0`*fBc&)ZZ$Ze;2=98cBTeYVb4%&p(JKHPV`%W7 zM#E#pkIbfM*d=_^5jV_?XlrMPGKu8p{m}AxicA1Y=Tj;YE*?fdX`&buAr@DvwEp96 z3H*fg?*>|!^5uVCZ^;tY&RS=Z%`h8|Le(WkK9}qq#aUKL&HXqHXVz$7_MCz~{bk#> z-IeiOC~3ZhWtI2z=$$%s&dv3biqu>VrLCmutfuC$4q2Iq@-qFYoIDy76nd}{W}<%; zt&xEjS@-HAPYe_b&#T#)6bp0mS=k{6%aoxcyrOn%;xGc`Ld)S&%eTwgTH-U-S#RG* zznC4eJJ45ms0r3&V9q&*gV|uHyh=%W;BBzq{_wcP-B+Pk^~CuoT<87CQMQ&%5I+)c zMajJ;z0qU+{)9W~jDK(Ug1ctdoSKd*fgUmeDh&_1C{I)cxZ5Hn;e^lgM5Ab@dJ

    zh_AvkE`jQcU=blOvZsxu=6KsI4qI$(p*?ZfP04jEo_lj0WUWJ|cdeH*VszEVI`*eR zdF`itfc+3FOqVu$uPZ3xDsi4WGGo8c@j!9Jwpd&8BV=^tbJFabyIWD!>6{dAj7=X; z!(HNQULLqAssVbwUfL7AS+Ud{%~y%|=l*jx0+k;e$MG8z;H_HHQ!@AD{Klntsk&1M zuEOaR<1+Ar4L2T8C_yZD~AQPgufj^ho#54KFsf zqXb9sL7#{eP=_7emze*VIpnx7;;A`!CD z(L&j05dx+?RzCpM<|df@_XEOLHbnLZ=6Y7b@mvs#T@&NXcR_!IZL87}TfaT~SCroR zbdoOXlw}H45|@k&m`Z_&MgU4dr;O4%s0RoL1uaO8X7s}EYjR~Uoh(-^%gf6X&bZv8FbiuMsweq;(cmL=dPO)~(heY#bP$aWTTNoM51dA&xzy^ce*;nAShX z=8?WxC}O|yg#KVOD+eV9)9-kf2KItJ-=ejlPiuP916%~WBlNC)b=hI*^;>II368`u zk(k1ZOa|y4v=^l|<$5LeCX!vqDA%B_8$xa3IEH>Zm_;y{d7KvqAc{*ZrwWp1d;#;$ zOjvlHM6zQ!%^x)nT6`xe==87oZyP3WoL!y>v%~sd8$dN63o1s80prd*a@P89xu`xR zlvObcx?BbLO`Id^SCyPEQq=+JOX5em=MMdETqs{va2q{{(WrH;Y(vOnBd%Gd02f1b zuvHez=zq9)trM_9u>1Be=52Ib^y43pk%u+1)=x!g>mUhPK>Jt?1IWLRn>fKp_%a@& zPtLCa0<^earqo{8dMwru=@cMra-IgT_hl@T%)oyr`6SYTmRi{7Wx(6ci&d-qt!X2z zFwb?1oWT2y2rauekl+D?k^px8C|?3e1(vba6c3|^7$jx=`mLZVZSHny+s##5QqjNW zWf`UI7UMe#;3K=4q1y{<>XmBDvnC4nQ2hQ=r!NuMl~wh!0VOhmqDG`wW_auJy3?bq z#`mIf-M~q(pKuyycZ%A5PT44q8Bq6;hv{xGDaLrD@RA@jbRlUY9IDuMp@FDEUsMdu zp`qg5?*P`6{mYJx<+g*98KRRxM$bc3U_J~2<3pFSY)rMa>5XBG0Zxx(7RCwk*JH1G z0}s1vuC2ZPb2HDbUN(*=@~+B1>q-tNK_rW1T{<1Wu^Z4z#OV7?L!-KcFfgNi+{dH; zfa;#+hBv{YWCG{;fE_K}>}J=J-HjRjqMUg37)cjO!z$u-))6~&p0ii_pO5Oene%Gm z2Jq&tOJxOODf|bZSO18#%fnL3Voz#kFEEM=Y!{EOz$9WNbK_jYR+hT!P;wf9pTL3U z_+J@7T+g>9y4tcGFZ)U6zoE+yRyHC{eS=R-z+awr(6gGpGr3k1ZeB%Qtu1Pxgcl{* zyobf9E*Cr1C>i~}U;ZY5WAM9LL#@e?uYCw%znUI3X29rJx)@eBS(_W9PyzJ)Zh7nH zQbK3(`EPek?kEpbgSp);vSPcf_40z>|Gy8fLwAM2r7@9=JWOfAT$ zRg8a1g@EW$?-yxPElUHaT0+W@)=$1>b<9v>Iq>_xWL=HwC4lJ-oA=*1PaX7dR^%T5 z@Bysl{qIr=0Pf7egR5H;Wi?=a`*Tn6Sv?EtZG}QDg;K5|*54euo_JSzgP(vr;|Ri% zSPL0eFh6E^AJl~TRNrjL^yi}jN8q8SLEV`wDwosjTzhsR`FTP!?hPO zbFiryTxVf+FpZb?ak8*R39cdEe{zfsUkkEB`FblNv#K36^LXk$tMMusXy}ogBcVZC zd2^!cUg$x;--zeEyuhf?1i7BN3tNTWXj0ghN#_z~;)(8Q$^v#beA<}`Zo9|(hbiQP z_8a_$k;5fj`S*`A=u$sTa|mc5`~)oy#GYeWDZLHsHUKbmC0unL(sKUoxtc6t~Yyo`L~>19YBIqhw=J_LQOKymyKuPHAfvO*SqEP8S* z5rJ#kSC2S&V^5Uhdamyvr~^_1A$6s$<)Y#IS`I`Z=p26K-&18>j3iMM$G`f+nej3D z82+W6D@EJ5*hl89Id|wXWN=&9gV^_Cd4RT&K%-c_utbYHb$d}_ncr?B+ACk3tuEHa zE7v`!qddZH4_P%kD0eXA6Ii&ItIXzkxOAyWo#bn4?IQ@15jJ-M+!nNXZZ}ug(gf!y z##>+`4}`Y&^*KPB8DrC7BXX7Kc<7&YcTMJc>xueUGtd^xasS7cMohz`34jm)oPYC0 zFpln4ZQWV53H{5RU~k>^S`vC2bWgpcXYylS9W=&!TB_DQpMTaGjnle5x)OV+Leh z72@4VTA{`0v^_qqX{u{$-$XVWIu1?eo+`I@XuxzjG3~xmW&T0crYJPn87!Hz#AJ87 z$i~jz|5c8`b%K;2Uu4* zQbk}C)4&b<@4o{y^V_wxtY}R{uCsL|(N1de-^R+lEAAmrsHz=;BrQ%9%oeB4|VO`Vy@9-2oi6EYU*wHViSTdbkp0Ipx? zi!`lIOwRsM{nUOZV;Tn2Y2-CFg7J6u2vy`i#wk2$g_l=u@o6l#2jhD5wC)Ve(OIg9 z-}*eqc$ciwUR&$`XD^DIh&L{sNr;IjUv);dNYMXkpymR7K?ABX@NnE2{}yC=3(5U; zwe!jCCI(1ad`M6%>hQ!@3MD3Yg*@kGtTF<|OwQzF%`4_gw3Cww#y;EZW7r=rL1|lb zot$8VEPnSFZemrvNYs&QTU!Ki;*~YNbt@OZZ>mU*cEWsbphtUM%C5Ko3w_a&=bdYl zyV+$9el3A_8Hl~ zuVeeu8kc;^j@1fWwNnd)OC_~l?cj7C!uCbCHR@p)lP#AkG!rY%UT$SWUnh3>SXlkN z0=w)o%6|Y`QY>jVV8#B5V!6GlT9ZzvMZRqRPsy^>wt^lC#6>ojUh{=URi@5HkaZyK z`EjL&+K>H+SACBxU9|tP0bT!c4eOPIn=`haFK$KENAt3|xiyn!K(TyHUGQ~jm@*`4 zkT*;bZW<9h0Qf%e9C%JtdR4*9R#2K-vTh3vA)FhFUh4wEwcD z)JiJ0rCOUq_2hD#)mvzzq8(_8m!c~5YE}ysvZS^^kSn@ZVkG|A=S@@&%V~hkaSBzB zZ>c;Kg%8@6anhKiOjE{s=TDJq%YzePZJen!Z9(##tc4*ds5lFXXORiH&C=L)@-;(#;XgSpVn_0bUxnzBOd>%2L+j%GYeBc+J0Ov zAbnyNY&Vxx_HLP7j5V@IoNR*or%5?IWfE=Vn3)RrEz~pPog&0x_#^D*z+QNuO)S}R zdP&~wpys!)2_tqJPnS-w8lUF|{AzFS69Io1tDmbA{eHG?J6YB+ZcG4Zwslp-`WQ=j zCm*v#ubGihVfHVG^@Wu;=WWLY(=#1VGxC4dd(A^LhTxkNDdNF1or4#~e~%G5IV!!k zc`}QpJ10YJFkN>W1OKuU@j>({;}1eJGe}TXI3A6m8<0(SOX?KUkSn!0Ym_Xw@3u#0 z3(D4XbX-INjG%c5Kc2mXyNz;Cbyt^-j2a2zZeWRL9m8UFZs}Cc(rvB6hA{Gn%lTbQ zYJlhXut$2dOJ-11<`0BlTR$I2O>u{rfn!Z)5b+}^M=8`?LA|*{d~qIwH+f7dRDxvt ziWJy<=4*Kr%k&>i4=xy5WE-3cObGb&y>K{OEsW_;6i_PIhnEU}_ZTQ?*DMDKKTv%g ztVYe63x5829A-XM&O;~L4HR4avjRy|@T3uG&fSJRtC%Qy>37K4GW7V>@RyhEC7DlN z*X>d6c1Ui@m}+n!YKx4573~(^O%8r-1ji++`=lRom~$h}9Qwp>F%>LuGX2QZjM>jK z1$OT?CiE{)j2d^Pee&KqG+6jPb|=%>tGF8&?@4hLx+dsFl2?iM6~TE0kS4GbOT!_X zr3hl@7FYfrX3p}-y!2dYj2iWOut;v`G6fHDbWW`Mn(3IO+Ts%aowBA}?0=r_Xsmdf z7LA(3cW&FDb9i&eIGM^H?5|wc7dohAjPPXL2o z*%(s(Z-w-z1BFbw?uOh3gwm^xUmyqRM-Wzyve?{ zp%wU-DM=b`F$u}mYYtaBt{<-p#0_yp$7oeU=@j6rUO_5O@}5wGTZ4x1c>i7 z+oZ0NR64a6t)PeD0Q)P!?2IQL%mp42jN?do?H=$X!oh|X18ERc@V*(A^=E`XOhI41 zEy&Un*hM`-BEuAjZ&}yi?53}33;vyaDU~g`D40>m5GBK7awR(5d9VAKq*XKAz2nMR zI$V=0UTQ6Z{N(doJE6(}A=i7gY^3aQ!bZE_-}BZYlWSU1Tde6JQH_tGv+~!j>01x= zNf3|KmA~~~R*p+;k!Jap9u6$7Qx;?^IaDIDPg(hwq#=dGwo|$7xsJ*Y8@(@bOJM0K z?8;9^P4oTcxp>Qk+N^&NUiDf!n#Ork%GgOE|5}ZfJrAV@;5&R%oJ2RCwLidJ?LwF_;fj7f%F?tBREs z`05u;x%Y)W`5BM7H(*^M6GBB|Do?kZdMmzLbJeXfTdUGim}JvVcJ5QG3=fZU;T;WG zb#$3)|E}NWVWaUyr_(`r+BYu31j-bt=|B7X#;w{$cv%OCTTp`PGd-|p*I5^&@wP&A4OU;U38r!O#tQSd zhsXddPXL`}U7n|f#mQycj{SyvKtO;%!NCh!9e;9jkq z`?je0FZSq#1r=}ZDw8&;*e4BP5p5o@CsupGpL z(lm+~MS<;_X|%MC4m{!?(xw;tJ{WX5TiLRd%$rKpx#~iGX6&D2(vd(ej_yf4GB<1! z-Wt-+2kX0%Cp@7(eMKolfpd1%%OPFkVQugqNZ*Q&11_Zr9M*qpFK`tzxSZU%KK?lY zt{35um4X9)6Ow(R+^}tZ2w}`3rf}8m1(NFD;mT80>lA9a)9e2TBq(gmrapiL$}k>s z#EqqN6V}(1Zw!L3bN{9T1+k0*t_(ImJyMc4<>MzHYZjnw<~)CM`f8sNc_?x$UXV*C zlVQg>ZbTF0=ZZy+b79W#-)b(aZmr=oF!Q(fdng%hPBvMcLwADlHx_Yh76n%9TPYWG z?t^7PH}@dKOmRNWnfvtzbz2|Tt=6eV+nX%u{=pi&TacmWX4?<|}2m zvLMxP>b6;>!{aax{vzuPdB3=~&MBeK`#&yiS67$%ui3e|BrFuq_aFTHdGh4|0I|CZ zR&AvfuQImvs1odUl#}~ic7|E{Dseo$U0uF2C}`@>A18a2S7on46Iza!JNlvBoSBmc z7Cv6ypCmA9F{$&eJZ3q&3x(xz3B4eCKcdsV4~I{ki#q)MPlJyo1LiO92TnxqP}MOn z32y*r${g5%)W}-omRI{ge#IMlRob1PNW}mQWtEvl`g{9%j&py!{cZ-fXo#ACPd1WH zP%R$0))cM!fo(_PD;yfX4P+?d>m@RMN{4V6A=zIMAU5D=`LZMwE zcf6)*k|zu6nuMN3J`~{6yWIP6R^m-$wFgAtdEW5w;A zt6xYZOmrf4<33CkM(1>)0L#sP%x>jSB9&b1&W|A%GGD3I$-|Lo4ZaJ5dU9&qC>Tgb zI>WYv!;z_be$V}#9YVB5T?5X(+@=@0X2xzF`ms+MT3xr%k{&Tl0FH&^{>WEgq)L39 zNVR{Cy*{Mjk4bN;pTiaA@P=dhDbDKfot38^IOW8XbMCSF$`N>6S|``j?hf{B&t|6 zh>4$PS0XB~44!F;J}O|L7v!Ukuu@zu;URWH+A@_@63I=FRgvPI|0(W&0?OMn@Iwn5 z#QfTRss4rCq7p^_dev)%QQ zHQ#JJ2tG+!n)3XWb|LFmeun;JuNr-08^FVAC@N(Y_t?>|haFZS8h_1a#A zTcR2pZEC7P)HOkyh%x7APr%xGERH1d>%@SE;%?BpQ51H_VodNw*a{>W!omo&M;@%G zEW;D(ELYd-H_@{pek>gsynghKG&*A6eBm^8fXpz&2B+b5^cN@)`AFb0yymZgqQI6p zSHYBGs;G38RMXiL!x5o44nYg#w_?Ku{3a>j4wZi@xI%R*yJwJ;$N2WLD^kB!R<*_y zCBUa}^Wrfv=;^RqFDA|l4?f96qy!bvV)7nPD{BbasrnBfKVKCDWPeEDKrP@f_Pa7x+wS<0)8=308D!)exRoN^su zo9}t@BQj0~fmmED?6`6MeLn~jy0#b)Lz(YU{4fX&*s zwYDQ5Ti5kp1Tz zd^D@3qVR#eL;xczwKs-#{npj@VW|ZgTI}_^rwmVHiI>?}ZZ~EOZ5jiE=k=osJ(w+< z(UtYQrTK~LbdfZ}Cn#A;WzI@Pi+Kx6!(<3eP)pJZXZS*~H9TJJ62nj}^^G?VnJ)qS z3hgfD#M%&y!+|MG?uMzZvMfhTn>J)*`|a}5uFlo7AOzD=xQi%=epdsLkkQr4;*DVy zZ*AJGPF?NS=P_p=xQ12R1|S8wN#;(f3kQ5l09_7CGr-Byt_4VN`|)fG+{|(mNin|c z@kos^I5K7WNIn#yq2d)yu{MdwaFC-=C3*6&@OXeo+>xuh7)=M|d7+?~p48fo-&6sm zSnrow1!$SgGI)uE-}S63bsX%hajZPy6mDj zo=;>`7V0^Y+nIg70MR8R1T-UMO6uB?(Ifo?Gfms+1&F4eY4P?r>#DZ~P7KxCp}>-64<2 z6YGn5Qh|X2LLqyqu<|VK!!`O+B_l;Tm7OT1h1$WoZFK%xq_(YeQu@B|rRk#QdIaXC zO^&)~y3)@4cG;z9^d($h`qjFxR`saBkX7!JXua$Hc8WWlojT)a47sT6)5EEoEVe3{ zMyWQWot)n10`pwF)oeFyv@eKA#z&LptLm+6Pb^c-!+4G``{cT1v78o8$g_W=X1C|< zzKy|Kw)l2?VRTGkK#Qo{vC~jVM+Hk1<$uLFi2_u#6gcA|9R}OTEX<$Zw{Zx>znG+6 zic02`%O0mUOz?1*8~Dot&j1-3*eRPYUqAcwY&&Q zH!Yl*4&#>yEV2%~06Bf^><@2#l9o(C!nfcPg7quB{QN!B;IWBue-B01S_tbg(r*o- z)h@zd`4w}m$B=4-^^y=Tpm&s*?axYeZ^#9`=KPgO4R*KGY8yL(4 zR{Mhx_6pVwCaWkL88sR#aOunyFdHy#%#@{Y7=}}fUL@VbAdqNl7ln~@P~uZvuaOB= z7`E=5({$Q)jyVh>Pg%eT+c;&>7#gxEK9TvZ2Q}cv-gvLnR^8y{>J+`Zuw0x1O6S?i zE5V_@EG4|y<&vTqWr3)pLgqfnoK+w2VB4Kb6kme_azS|-l0s4AxG9Z7?@EN0;S;e$ zQc4`Ohj%#eHw{9w|D{fBT>a#gEAW4{I{PzcX=)Tth>!oW8?$4{=G{Y>D_t3)AtsZW zH9{`NkT*KZ7ynWgMxGQAJis-!?8t)tz2b+7yv?rv6Nb8j07M$N<|N=`W@l$-ru766 zY*15KrC&ufLmTw%u{`WBdV&g5FC8%u|QYCkHPie$Kxn zZmahvGd<6<3^ru}ThKzlKa0A}>o;2Txndrq|G6Rbt_HQ9dgiCW-;B>A<&{s~&*?ss zAn42Azh4rcC!xt{lRqEcKIF?GG2>GVB^F1j5lOVwkt;t32`@rrrK!L!EVRNWG+Wsw zn&itvv=JI&Sn#M*iBI8;(X*#0j5$!#ikR_s-nO3^*ab57QP2{jua@k@f|3TiPQ}Gk z=Ylv0!3Q47G1J8=>dt>Xcwf4!X_U0py;2L`59N952eleo5{j;9&QV8FJe=0Sd88LV zsRoV-JI7aizCN`05I>L!U%u*Fb3(qBLlra1zXhy&J-(dm&uc7@XUTNBT#CP5&P!GB zdx-rJiYR`Fx#&^nU|k4!%$94&pjpBWl%t&fKCNo|wSg|B$ylDy*lE3R0fcueny+eK z7pJp2#^$^OeO*YE6^NK5-qH;a_F6ZM3Z{h*@jcdTO_~svRTt=q%T|q(!S+q`5~x8Z zC9DsYeZ~0((fz^1S*16|0tMHIMjRB%vc0GPjmzT&0eD9~weTXug$( zh4iPt<&>I^L29WrDAB!@> z`ENSjUE~;yekvLiKTdlX^B^5EticUMr2ed%vWy8+*XhpN?2~;cc2F4MM?RTru;pqg zjnrdo!G01^%KKOb9Ya$N!ZZlz9IzCAqBQLuDIZp^T+m}9uI~3dfB1jy?iMbb#f}_M zrHIS1FFo))y#E1&uL6V#&2(J>p8{XJfeFGZ|A*&If3U?5lSfZRY*Mm6u4)j>HrqvQ zVxA>{mYwSaY==~G@%mY=@H=Yvvp-fO^mNcJ`|S@W7$;?Qqye(7=6*6K@(v>BWcl(1 z{rU(~%TqG4bbyrPigLhLFjMd&V9v6ez(R8P;ne}Eq=U3nV_lo96tzQIUQ!`FpE@jd z?lGxG`LP;f)*wujl&lD&%qYG+KH>|8lcv6qm?pB59P zj75ULgk7dGY#0O@+Xx%VltjD_lDR{v1U>ZpqCDAh(M58O;+52CX6V=TUdC}5kV4J* zq_`4L+)2dvGHhVD@1|@83Q%A|=n`qtBPWcc?b|j4FSVHA70xjJa8dGLJrWC(zSa{S zCeM6Dhm+k%RMv#;pUj>*Hf0HFss$p_aKCVUGX2pTceJUhEYm1)@AC8a&ktkc>U>v1 z@R;iTIuOaOXp2Dw0cE~y%YlYbgZx497bY?pqK%BLr~qYyEIXW@Y`@8&f=043q&1+K9pD#D)f3IWV+w6vmPsc>{%8wrI>gv}S81djHM{nB|G z*OG^*CUs`o0J-w#?2)s~iqRs6JoicjFP$tD1y|5tX$!w;e&~huLjC%-QsvN$&34}k z9)epfwAqu1ssMRRu)^Eh+-+}%%H=*+Cepfn^1s_Os&DD1cMH_o2;(Y+L?7AyWvwZ|Q%P3uqwu1h~1KroZnW z0VoL<7&e&bdVhepnvEe`17W{3Y9l71u1w5xkVjA*PrjNL#kM`uSEfUc4qf2cX97h* z)AM>NwQYnsDJRJxVBZ`65+Q;J8`%81YdVOvL=&8{yY0v(tjU2Fnq6Q3H5TIta|{vt zzJ%u09<4wvPt!xrU-C@DLuRdeuUnmtUlr&Bg&|X512HOXAPuhTs^#q$dQEzhfdG$o z>@Jo-YS)a(qMp|VwXQ7OV3;9u^ab_jPHS6kia?{s*}**Gswd&Nl}<3#3nr1QBihvo z!hYObEJ^VVdL@z3^SlCnYgxiV5*-$jXCeooT;{_j zW6iX}<<=t#jojz$;~#WYfVIIjL25?D{9( z{#u4Yql|bv`%ni&1x(5oYAa|XJ&>V{I>YNeNMoprtH;*VP@vMxxa9u3m)zXUtf6!w z+U>7J+7dQUU|SO1ho*GH zPGW_o7Z({du`ZN(Xpp@CzgUGW+2AsM3tei%Y*As0p;6GOnJ<1olkpY<19(daIfh)U zDoo@rx%vdjh#qT(+77zx6VOh}!}uv0XDaYUhDhSjaD#8Y zxAhgctCA&4qdZ7WmmaHAzx>oL4`n*pB43Ke;Ri0`h_r-6$~%VD-xXMeMtM%2icbmR zCFae4hH(stB~ZzO+IpdZvQt|GnBvu9YJ$gLX1=U7TbMrqaTVG(zek+Kvyd$@tYB}7 zmfP)9`fC#3v1n1tbbs;|7f^wRZ@r!^l!LtjsMCnKT#?!XR>0ROt?8#h~c**VVK*-MDr?!xR!kuftjdc`qC4qjKPf3VU;oN;U z#(I&4t?aVK3qR>W>{Wez>0!I-qzWMVetYELF=={EbN?BgW8!T_h84*6RZuD*`ld}F zOv}EbsGI`slA|wM{O$Cu$%O9pBKR|b2T{xEfTD0EUla8grdz6itEFi-)!%9X*9SkD zOZaq2Xm0`QDrt48A6kpF$ZkvQc*4NtbQ&6-G#jggY47XliPQUnlSp7lYJ_Sxj^oK3 z<~9xwa&8!7s0)G`-zOD7uO+%lQhf(bbj^0zk`3%5;-^vm2^^$hsNlZ>^lOY82zD&G zJf@i@hwZmyTVG!v92U_0te}4Wo`8zCXy+y}A!3>Lo=F8)*sQA_{nKx7bo@TBMb}1?aI34-bF; zmW|=o|3R%$4{=*4sU>p@|5>J4RYjm*uuXUwXfvz7uB|rHx?#%{9Q9g+6_W0Kt$R3! zmMbUZPJI(6UzL)u4Qe~U&Ha9r5ZH>sLVx18Xkn-BAj-Q7se0MyKvBjjLno##3JqNL z^*H6ksSdQD#8Z`XjpZ)aRT-3Gd&_|0s3hdYDG;thkD2jmHI|7}d!D14PzW*sp6VIM zxCNe9QG?swYR-FkBDLto8v(ECyG%zogIg0Ap$IHs3Ab^{K?mj~>3x|S5|Wbj=*^Gg zY*6YZYYmi~$A^`Gj}_3#o?N`B&Z3vj4R?^t70`zQIth7r|UvChttoHdPs$@QoO1XiVhXhs)(J=rtH8BHZx;hWhjJo zntpuy@bBBPZdI%X=MJumPmROi=)qho4HOVNL;x?rQ`yxIJ6M>Q_bbPo0j+q>9XOlF znIXv-lJlx8rO+@F2cKEJc~4G|5PiT!O2p-mr8Py%eG~l?q{7pwp9k?mOeyUb{e`-p z>GpH4w_x7^$MbQ z#V4gY0NG%Zz$V`)LGH_ij?*?q(nUzISABk%?DH6ETjabzipq;|VlLsqJ|HgvYE%k5 zW8mc=&8o-0+beF_sEHbweLC;T%KPKT&i1zY-;w}7bQHs;u#%Qqz167$nu;aspf*QJ zz=uvpM<-AI>tKobq7gUqg*woD?V6~h{r=&sV`R1s%* z(hv@Wi{;g&S_+*ZIaW5H&{aZ21(&TQx#d#7+)QbFjI;-~}vJu_*sbHfrS>^*f zMOVVy6AKo7P}06bfo0<^H;)2LhO?!}nvg`{tQ@&?)d#ni_Q!h_q6dV9 zGx~q`4+@k5V@;-4oEg)+hD06sFPjXvlIpCS+=fE?zB{v8lJU5)*d1%2XR zQOuWcH_Psu2Vm%Pggzv+;>Z#G)ZiQi@THVzLhds+URlO}>!csdLWWfZBDXbgj=DQG zs;J6mq^FW^3m1=>6i0xb1+ZZ(9pm2B)73RG8)k#o_9)tqd3GoB-9L>FmE97nqVD0>gT@y2LY+GMk(d_tcd@WE zke{TIiK|(u)qf-q40;4;Y#N2O=)*GKgA@`lKXZ%cnmsc(CJaheb+@bY`9Sp|qD79v zu&gPEB=2g_$CgknVXlQFZo!L_3;CQ!daXe^;mLM)CUK3a>&|{cP z`!>{?><`K!aVow8BS-Nb2fK?ap#o!A0H4t1Fa{c^vmFq0~V z(+B`x4bjhr;9?oC{GXWpzrKSNYJ?0Ja^bu45H!338S#~k-YS@K@EWRwTHju!nEjx> ztZbs^(Lrkp%&nJ6K9H~oy5bX1DK1Z!qwbi>wCv3kiaD?x4gF)wb%oS?j+@-tvT z7Bd9hHBAb?Vy3i?Ar{Zg21O@&EE=*Mb5U?by-1z?z9TUe_a9YyquA%9VT@_i9$`QMzt7X01W}e_ z6egzjTt*=RyZ(#}^(mVay!Yo{KUSNz4d4t@175CLA_~nru>9gxh=(OgO^f|X1A|Q1 z={&EKN=LaPO5x1I6Kzg5Z8q_r+sUl+(Cp4e}te{}{X>Pfs#l&XBejT1KxcqG4x+L+m>ltfQWhUr3& znikmqs$X+qg{-&a$N|LFYjJ_4;FTq{ek@r?5kCRD#qYx>mTbbx#JwyKV5jLNJ^?@k zL)yN7Pck1f% zuzp*@dO_rr#33h`Q!Ge(|3m3(w)+_De8DolXyO)@nt61lj7}tz&7zn7LC9l2&O+Lq zMjU5k#d$}au>O2}5SyxCz0>f1(YZun6Pu2UG0Cn1wepF}ifl8L_sGyi<@kwKj+xDC z_G@EtePaHaFK~)qiY?E%P7F08*0ed%#g|`E)l68ZNw@lN7z5;;wyqb%>Y8;qJ5oic zaa1lLyy6h0uI?0{&^_eJRYalN3q5CX`n0MmfJGvs zlFFvwp-_i#2b(IlYNY0k7C;6BD)cE6LTUFMRgaK!@Lf;8AML_WA7*y_pNF|JlVG98 zCU%rsYu4h&1@;e4=~vO*Z0m~!SWrJt*xZ@H2m9Thz4~tPFOMMl)427M)9h2X`MyHg z!F_JbbShY{@C>w{H$A!}ld}o(eJl>DV&xg8A!i!L8v38zRR3BaO$4 zwIs2k5j7VGVhOOphD3Yh3Bcl4p{WNQOBdTpRna5KpcEfeT5?27S<>_|{9=>`1RbVWk8CEVZJE1dIY=4<+ncEwWNeeIe-nwtQ_;?hp1TIhYs_eZx?uw0{_#i&a_lm7{ zVYyI+w-sv*eGMU|#!*W(OtX37T3Sr7B2oFEm*lC8m*CjVfc1sYF-na=ThfvyrNh$Qjxl`$nSxPNSKE`5~;Pq;5s^Y;iIjXWIYg8yjH-M z`VPQBY)iN7J-W8!%kMXK{-(>rwPd?@>A_)bjso}#Ld1X~s+o`y)Gisb_Te?*o+RQX z-W)X9;(M@fm?c#zL;lPOFgpPwP*qGo4{~k9%h@nre1rCqe;bTu4p?hd!GjicZ9%jW z(SvE{5$HL+cRhPxF5ORQ&0%;-8)e?9q$jVew&H#cV*!z5p3Bf(;5?t=Gm=NPKtH+a zQ*VyczyjJWqc^gny1{20^+hAYB08X^T{5l7xW7@~fTu?Wua8<)2aF@Qu%3s9$GU9; z*tz;7=%NCQG`hU5*4888K{+}5Ve+Cmh=w~GV>%g3`sly(T9jJMqZHcQy%kJ`{`OF` zZ^RXXw>!WP?E)-)lEfJ2vAd~<6jkKd)8+xiMp&#M)!(!$)0!<4Aww=cz81q0NWkmV z=7{d^rF++O2Vk#h$dgA%KyW7iIqqlv7YvaqXvu}1IC;(zV4fCE7syilOA8|c_P;<{ zOn69ix2l?J*A|d!@&)mpfoo2^6QQSdUl^i&R7n64O;?{S`$i7=_A@UNuoQt+C~H>y-wfPP^em0#=o9%$M+=s!Yr9oTX@B z8YSsy^`*p?%p4!1JSn_iV}&DTxkWMbXbM@;dONSJ<#VJ9CL{^{2zr>)pj@SSnRTiDi-&@|)Wm{&60@3x^(d4a!FeQVyKzz@4qZ9r z619{d!sKQFppN;r*?M(vt@Xw#4$drV#C{zLvxkN*qXVy-UGSFU)uOW>KR;qI13-xx73F4&w)ogS4 zy>87?;H_NqtmInV*?Hbhxle_N2eh#MeF2V+yFeqZxB~2aGS|k&qEe&<>t`)A2^}5E z7l6jT28M|+0rYFV-d9I%Q4d1R9+JOi;41;5#{j^{zl0_dEZeap~A z)TVM8qkb`*CojRrJ)c9X_QVme_MAMq=bL%^_zOVPkm!KzjnfUg3e@PsrEc*{0tc?f zVuE<)*?#@l1!M5x!`uZZNqOFm0XjI^)vgv!DLS)S{1-&O-n~1|vGs8DYyViTv0o2e zw4-AbyfEzdVARgHH^pNTT($f~iBk!szM}^$-9lHgTL%hmBznxn1&=xMT=|JA$PfHE zMbQt&yj9Lfpnp8DWXWRMmn+AK+v?Frfp+cKQl^;=8%PAK@z2f&8-I$g_pZRJY zR(6QTyrko>;BwhnF%?2dzkJvgdY?W57&=lsr!0R>V$5&(XHQBo6w+NAsbo~KeqSfE za#U5t65<&bPch@wr4#F))Qs4C?!~uip{d0d$ybaQ1+9eUVk)T$vD5Vfr<*(_^i5Si zUi7`S5FS+8X8^VbZW|dzqTOq;TD1RXHy2~LjRwEGLzMivr6|`%bQxBDX&ZkZ^|VQe z#sC=7$YJ%Z!{Ojz@?zL4mq6GlIl5BuEn}WJXo2FD8sfDVNwmim!hvq9TX^OUG?ra7WnN@X~$Fe;EYLB1Th_LGH5>2+> zvct$`Z8;h*g}lMvZm_7M|E(ivN$8f`yZ8%ciZF@d#HTwxKK!7Yy0>HEKRNsU$fcWo zUIDg{;%^02SU~oVb*pgq!0qiV?XwCv!t5uYQ`)qe{0(?Zb|eFT>d|{o&>+1D2jb=a zZUR>Lt;pY0prBmf86jD@wvSO7F4{*D!4a!6^V{kRK+3CMzvO8DxR8<7kbcGHqZ-zs z?pL0NFXNR#cq#6hA2}0!+@~Y7GgYfM!D3>59qQGVRNTbh`l?q?m8&pG?jrtRokUhB z$r*h_PtY@uHXQ?g75!2j&I191FqM}`z7`6;tRkgJv`4m)%mHeipiH7f3o$-W()EAU zYCWpzLj%o3hp*^!OmU=~e+`r?9X1XEVuP>=kJ%7L`upSZ@P5p3p>~WY*iG=-lQ=>8KT!UN_(^KkFd&?( z7@2vim^Fh+grGu71%YmW36f8kQI^Uh` zp7ADq9kbL_ybiQHU2Ri_&mHL~72aF$a$@U#r+(C;$y4g4J>SL++ACAE1NWRr#r+M~ zV*)=dvPk?AOL-Jny?UdFr5EXlq({`cdr1!VL$$KYvC@ZgF;q4O;uRGTcVG{8+dl1k zov2HW-rnaEEZA*9YZ;r!vbP+5KvW=XIHbz zid}RY__s<71x^)%*w-U^wA@{x2mLy_d1CLd(@WRc+^-^w_ao>Pf!Kji#nh$MKhbxu zO8pzKlz0oO`HLumWw-zipqz$z*sOt!g?#5>E30~G&i+KhTz0reB9jUVGBN-yB+>22 z)b6MQJt*3yRU$v`k!@x#F3!&zxf4EGZIqr&0;~&(&n6AN$QGPU;+~54EYDP%vMqa& zm0^2Pa`|P}*?&*sdBvRN@2e~0yx@(BAF@m4Fq(bh;OX{p4vIQu(c*}_fXMKhJkTw= zCLrD19*perwcxd*)=q2;C?#bh@x^rnE<#nkODmu!im5{gM1Il)7x|zgbug)SS1NVF zNDox2*+ecEG@f4u7SLS^VkIxQFTb~x%|!Dq;FTokgK%TC7Z4w?4WRZrRmuq>fALxG zkzAuc3V{%5ku?@C;bJU;<|CZ}&XI5g1z`3=U@cxj^8tz-b!B z7wk6Xv~U$1(v)Gy%|1=K*N?xzXN?6zg5WUHx6!ot|MtbuAo6tE$1z_wH#sOg>-WxN z6P*ZBf{Q)iBo^`0!S6!HGE|3@JDj|A%phV_fQ6!7y?W2_h3Id@r_sMwwcK;akjZi1 z{6Hklz!l)C0~zMPY8%L0XQEMzzR{hfpdofqE=--|NO3)Wua0Bo#*-Je32}na0CG>@ zZUHmc`X7obBE7OH=M!wV)M|MNbyDC4>k*G%>ask&w9Kn86*jazYh5UW=e?cuk57sC zmBvhA&h!Amec8a3H96$$CI}=hD5ct*z%72vl6M zp0fj*i-A0G4+EJhI}NM5_Rxw{<*^(@-V~AzYL$@G+%@4f%y!|^23rbNOJ$VFeA5KOe{NPAzMB9_whMJ=}*!cR2 zjU2f&;i|GN3K-KaV=@|A+PbhgM$>1I`f?_G#`zVK`JnEpapJ@GTVAb+Mu|$ho_!ml zY*=c{3ldqf2AJV0=9nd=0$A=aqS1^C%U3q>@<)6jy{K&V%BiEAhcH(0?q$qc{gLP4 zs5ZQo4yC7B-}U%Y$aPkV>>egiZ}>opVf1;G^dW!SS$DK+W4<)&R}4O!9P9HbNbu4* zDXkaa$d*N|l&>akHrErk{#Khc0-8gU8tVl?p?k-IVo*)y3qOi0P^UUvyJNa=IXOT7 z1^zpz;yssE!y*~Y~$t}yQ!mh`B14A+L%M03`lq^cho9S!q zz!K^(GxgCo>r-G+9UfPv?h15n;s7w<_ex%obxYqRriOuW!@9 z0Z=!JiY3)=^vCN$$mz~B2;ty)mkFmiauv*8`#j?{jV z*XLD}*f~|s=9b)=;c)yZ>Qx#ZbXp}D1y3;z_FBW@o*Q#3Ds=oVszbP7X}?C^1GJd# zho2OTEq05E-h^v@k&IgKhvR9TxZ-rHw07-hV=Q~bMvJ#rV(dGL>6gx7TA9A%SD}e^ zvB}rH7m|0Z{5!8v3+t?~DONI!FygYF82<4`*f?Ul8G7vuUH`zye$EJq&q9LZy)r^v z?AJt5h)0XFI#0y1XZ2($4NfFfp`5^le*&XZfe35)mrZR$gMP0hNCxFK;?7XTM*CC) zt_uyFdj7UDUn#N1f;<{FdE=i@zo0g>+bm**_I~^d`<6JPiW4z9&! zgfI9cme>TrA{>!GCvoGkvWmWgws0~0!5h9;9P`Bry*X-6>KQ-pBfP)jiiBr)*P2$?j2YA@4Zulnf+sU9BdOzcCgGv!$7~SPjU3 zw`NLO?d(X(t@0R7g-pZLVJxbI$o8~&9n?j(tWe+7ff+rgLvc{l`XA6v0^sIT7Q2!@ zUb`8b8>imhd)A`!#~(Gx@O+HB^L4liEAaybUL+Bss)?7^W2~;4UM2(b*;E>kWBk+r z!YtnH?pCx+c;?uPta>4P4{?}1$Lnw;r}kxe9sGw{TVtD~*JQ{DzMqIkM1)NESaptP zJgXR=O33;0d|ZZm?JMF$Loa#r{v5QHbNlQ{h+4nMTlD6`jSXwA6s6Cr<4TXfXi4Mx z)-=ZT%|7g;l8&q>Ay{gA)^I6O!Z2Y>a`QP#HSLMwOGEai%E&fJM6TlV46m~KG671r zrlNvJ3(+q5vZoUdodTF zX6?>E_5H%!n8i@FCr@vqOZip*)bG@ATWR;tX)maqbHI=hM6>zlWeQ}gvl3f%bynCK z_l?s!^=*vY?u>8=l13%o>|unyc`2m!#`qTk!SH<6j!IR&7tNl+QQxKndw!1ooznMZHuB&ttw4N5fjo zY4^lj;rh*9R3q#Gv79-Rpj=bsg}$#TL3uA2_y?N((=76_`0@yqPT zuYa;+mNR+_E?iWW*R4jJU=K;MrAp>NGY4g^oCD(%k%hV?R}gYnY(nqvEz{Acc@-O ztK9QahSFoy)~v24FFbr?;x#Ux?nvclq@ji)XYwSY+YU#Mi15>GWzWnp7kjafjT?2% zSt?%x9K^0c!wW&`>F4sHO||1F8g&4X7|WG?5X=VL-1v{1`Lp)3iJE{3kq@9h6}(xG z8Ikxwz4l8G&LaMqL6W1=t(N*B-RjP&u-7pfBW8n zz4O8^0L-&MPjqqyFt{Gm{hCa)#8*a=Z6Bzu8lcDg@mA|hT$bvsTtynQUjB;|l7kG< zq~5OwpFGK2xjK3ht5WA13w~b`^y-`oHF2 zIprQsdDP&czd8ISxaPB=mi1TcpiG&uh$c&e8l^RZe~%G;SHTp@-|Mme*nkQRSJ=BmNu2%jPUw+(L>a?e9FY6Ja;v^bhkKZqjRZvnV$0vHqx zg0Seu*|*~&=xmCzOR{vUF{&q8E3}qOxkGjzP4b590Q8}GyQ-;%Jh3spZ#m~I2!uUQ z;|PNI=Q;=7XnRS%G)XoeCr%kBImxp!gnVKiOcD6x7Q6Mz2=7z=qE})K50=~;9sAAL z{z~Ni3a#c_y@p&=UxrIKiizx{VoDF?v&hY8*t{@;cB~khqK%7)aI!miGv=b0u=0Y1 zZvi@vB$qMw_t+Y$St$dPes)p%#`w!ZjC&R=Cs$33!(Ew`MsGVw+N!%A>fh8e@~bSA z9;avj^ILrm+Xc);VIVL@E_TM~Noi4|i<*u)IK1r;w^_o{{aJMR@mZc_$B9Wfh6-*C`~t7Kd= zp!I}6$)^w|AC(e*3Thj_YF-B}S_l8#N-|%F`K3wDq_b9YkTj#R8%hq(7xA!}YNp(| zIYr4K%b-L<$yN+|tE@1K3&taskaKam8yW#}1|@US;M>yhlf~BKHo{;(gUa>n8ugu& zy>SEDUjj8{q{3V7F^IyXk6cO&a+tYhZkIzb&%PFN@Ui(33)qL;Ml0}}Ck-hinu$?O zv)0?5jK)SJ<&M)#FJ>>Bx#ofcY^V~;G>{t=>HL8qUjl172(jyx?R4L~DrWy%+t-vb zodxpPxm6wXFn{_4dR-;s60Bj{-b5J%mTW3HjGm>>v&LUL)%#!8WI8?sT2eXo%ni_& zGS$9>AF*uEzP2g6(FbA9gM-W|zbtuvPfssdmk3+cZ0uCq`%31I*a1(~BD^E;E}&-W z>h8AVZok6fW($lyWCK-+?xmzH#euR5;3Ty65Ph5$7$rw82&*K&Hn?D4dQ7(kbHgEd zV5M|u{v}dwk5MQW8F#;^l!N*O$7=+_Kp$e`{5|1S>s{*l@XDqqEDzV zmv<@`sBY>mKa@)tfPRV7-u*6WYP3^dv230U4i@$2Ok`uW$tn=)S6cEwzkFDbR;~0M|25MN%qu0fz8cs_`s{Dez$(@%d2F!Ab z{j|1x+jkaYg8w_5Vzr9l_1DwT|fYmXe1 z{O9afHl3vVsX$B1vNZ-2Go{v(a&+MhAUUMlYJG5!1|blByI((ARK@7+)y(j?4B^z2 z6$^x!(6YTC^lzG#5Elnc@TFRS>3{wu_WSpjxEyPs=xPnlX=`r>c$N0d|I2s z3BxwMqK^r71`~l3Zy)jU#O7w7dc~Ye zYmduX&P%gwd)E~mLx=1HR$JvZH4$9>$B@oI^s{fKzWdq-02>A8Fz*cUz-`p(epht~I$WYi#QFq3#`ys+R>-;VQM?#>Y4vcY(JV&*N8 z3HnIm&=>v0)W)kmkg5QUwSAA)s$O(oKX%oLmfh{%ZC(vX$e)d zUBfy~Sais)6;7x|6!R{f)1PmrB|YePHY;>BLZPz23R&9(1;@;V=fXD>8c~EXIXf4Q z#KxJ%l4hKVn$Q%$R>=RpV|SPHaJ@9I9&B^VwtV>({kNPfx@8Yc{wVFmTi76La+><2 zPT3=($M(9{Le@2__6HVV3cz`5`?>h{=_#1TS(!*w&Q7si9w}^6aIgFu-)D_%fKT1Q z?@(w0X;wt+iTdhz?#Tv?k-NHgKFnvS4xm}$9ZL~DqThNoQ%?NUQLp|k+m(684;8cM z@;HWMo|EC?n3=yss|Pvz{e|yze?HsWAy!apdd{);PKB*|@}4{rVK$S$SwhCFKq-gs z7^!Qr5MusI8CC|rAgxYdHg{AgjcGWFb|YWHp#y#_e8!%8c=tmMDo*~Dw-h2u$54M-KO{JO{(7)z zNcv7qLaSZ3g&a0Gpx=!4m&H&|sgoeS-@+qBo{|1f)JGVYZ(cUq)lKhusn@^K&pC`s z!Oaqs)ZS(P|1sJMB@lw}((wV5j{4V1PUwQvWCq3!c$TKbZ$Uf9^YMp$X{_W>lyKKG zX?+v7i9aAL|DUYSQwKK1Tn%mfPG4Z*12d#6KMxPg7kxbfAx3Qzjtmc2Z^29k@c21) z#C1A_GCjWP-kcM3%zq-z>~u_}ts>#~D9|djer!G}wx5W(N}9JPXMH}0;_^0ThZZ&2 z=ND!cG|5S*rQN_-EdupZM;=+cO_w%Syw4XCS3)$+l7}&)f!Wg_(5NN)U6l=2Bz)SE zt$0dNPT=K9_2y+M8@ED4z5m;|8jGy^dXbFOzXe<&b)}7H&a4Qh)ARF34?cN;W>VQs zmLk5{m_Jpip2a^PuX`T&L*Gl|0~zb|<1d>K6Y-$i&@OrvCVTS17BEwqQF}kk@ahxp z1v#%b=*sloNkvv1hLKIu-;|Pn$NYCP^#^2444P$sr@;6R#jL4g;(pmeOip40)jR!T zS7rVT@?6^a$2!erZ;;JK9D9ne4{0u@u(-B*RZ(>05WgdjXuK%tNjZP0);Q-IldX~O z91fpV3dxWk5{BiZ4T$+_5`t>UKi84JarG!1UX2w#aX3SIK1M*?5`w<#1t?jFw9xM+ zW07Lsduo2k_`k@|hZrl-1W}|myf66ZQEx`_fXWPfixZ9$+b3;jTE-}ISbaq6H#vWj z=X2%va09|5G360htb~~ZN~Kp~nQ8^^Lseb+Yic4>j}*vB|BWd#NGJw8MCFO9GQp3c zx4@?qptYOiJ^(F^^Wq`Uiy^;rC47^s;to4` zj5+D>9LxuQJ;vz9-P_;)UXFslsk+zp7*5NC6;rE1jyJxdos{w{DD>w?@&)d5 zGZ#A8l{QYhnXwr)Tt2}+^PO0Wf+rmIyeRi+RVJRkP_dS9maOC>oMXfIm(*yT@075D zJer}AExe=#%&?lOV$-K#2pa>%hme5NKJ_7s-ScwRv zuJymW>zY&M2CEj8d!7h8$~6cQbNMvLG(RSLtJ6~eYfgWVnsw+36H_s^E_JF|>upf4a4c&xWawE4Y7=t+kg2n0sPbe_7S4ScjH-mZM3p-2yXY; z3)g*vM7?2E$0?eU)3dX_2aCbsadeI9c6fDP*q3SuFH7!@^Z%ar#!}Avu5Mrd>mPb< z!H01JYIMCpbt?pS=(4K|ouo3eladyoKnjH~9^n;_vGE;`4e|E3CaS*m zUM>BmN2nx&*G$SaYJ?3_kHtTyyj!+N&HM2|6D4&ua$AQy+J~Rz-I}(L29r7cb!{m$ zCiXWt=^&#j*;SNE@?b8a)blLlpG~Mqe8Ks9e&Q-0t)M)=#Ys#VJ#}vf0()}c#~i-( zYB@Z=-500eB` z0vJlyHeqJF4uuWl`)!lLFfANi=uRhbhl=tC|9Py(Vas^9?YAvM9Onh`Xukr%p@@Ur zQ6->7I3#kEB1^$0%NsIk#d|Y>L1Q@9Ma}s)el#ohXN=?DO$?4be^iaZpK)&){zdHv z$ZsYPcyxBa#Mqc*qKfXLL+`jVP#_Eau;gPnzN|R<4TsK@SlXR7wK;yWo&uk;w0@(y z(xVCI2|}jF@fB8Dyg5G=bUV#Z&p#ZJ_hB_Z($&xdArvfZR#5$&PqUjH*Z z;vl=-OElM@LLhtSuXrTSBBm*QF2Thk-OR^No`9a(0wj-G)}M~tRP1LX$|4cCr|7lx ztSBqe-!n7)wLlrT{hQI@2XG=X);NU~aA9e|l3WalB!v7%c_c5*t&-|qN zz7Te5G=n3pu?Xr#zKAp4!IhdMpQF*p{ZaHE#q-%;QhjarMPNQ) z`ZqaJT|E`-BpH+Gm-HJ|NX&8n2?uFZpPdJefC>&q&GSvM&tmpXvs_O%tn^&Q zBY|o9!00urmCdIiJIl0Pud9OtH=aiYgdiV8z06KwQZ#?0tLrDws-9tnmS!Gq0xJmK|N3kQG2B`qi;m@bC%E#Cz19Hkih5K$WxswakYUVY zF3%ol!Owe8W1UdX;zx9kP{%LXD|8zXLs~%Awf#%L)ewSzr6o!rl;lE~@lCx5gEgo@ zLy;Lxo>8M`qzVC$=YlPIcrS@Y#%;`7Pr>Y^L9l=0Kdvwep3;Q9Dg*}`hyX^nLIbCT zna_Cn83-QY$T6bg3K>0;)>_t2RxBXZK zB^2kxLqe+*SD(NtS`@QQ?}k^>P_#0~98?`OGGfcSgddg;c+2xc@}xV(M) zF4Utd0mlESIHu6Jn^{Ffdq#GgDvR4N7%Z0?ggYe7mB6A&MrS-oLzf>r*7_yc31aIg zNK-NKp654pT!d>Yw@`H3CY!ec;Q^%yUQU9+GDwFbe5U^M2ULMe3F3-LocfZB0{8ga z|L`*~t~WIFQg;r6!Yt@w=#FY|MmL*Gvx#(S)tPsSS6A# zDgR?3MpuuJ@pZhW-&vtZUpiB$Cgya7U6gr#WOA0M`|pajM}JL4Kki{j@@dzQ$rk-K zA*|13|4HnrKnTs#L-&Bw?;4?YQ9h^aTV5W<4p)?clg|rgFb>k$PC}nDEiy*x^bfY3 zfdOqMqo20b7rSN1S2Qh^^_ns)DcjV>bkj_#hM)uNkp3Z?xEJWB*^e4kT7b{mm%vxF zPsKkKNDd&}T9;2uM1(3%@xn39c6zS$446EAtbl=B1o_nVTllVv3oZQa_DUR3++3ye zNi~%V`@Z{2?g^Z?;4o|mEsrK=LI<<&zv5ED!e74F5lf-jUevuAc@_1*66Y?8zZSa< z`}z&fBcS902)fhv?ii)JF99Kl4dY18@W^rN4ZaPTzreH7u`}v7`*p0MndMFA@Sya3 z@Q8M$(c$8jTh-#C-_ZNxBebG`nYp=>uC%q|dMaZY6B#(A#otER@$RS$+^rZL49rw%_r0gHe5l@4A7iLG z=d#@)Y2fz4WH(G}cmJo-{PCaob#keEHg`QYTxK{%{eIZ9b#Aw-QDo!Q=`m_-cQ+RR zFZ)x?chImkLUj5$e_ev~`GEKDlWW-~-nE(h$Z_u+y$PUugDv##Nlt(C>0{b^5$bMy zLys%n`eTWMSeVWZ+3A0-*f)>TZ9!b9sthWCuc1Qf_cqZF9^}x`)TZ?whQ4XCpi%k0 z=64abWfvxv0M%0q7ll;5lPu(r=vD`H0hBGZT}cJC>S4?F!aJDb5=rz&?A?#46oeUZ zykk-L>6z;fn6rw?Pbr07>uU(Sb z7?WKJ@yMOErn0%T^Umboy}DZILB5sWOWY7q^iJ-q`5JG4LQ!Sl{?*7!6r6F5NAgd?r0;-`131!EhWni(PXbuMov$*9u*CyOtJPXq2DWYS*V&OZK+%jao851Hm^D86bRNsn_T(7qF{jm0(>q0pYUxV9!bt{xT^a#88Ay*ZOKwDQ`r5lj#>u>;8 z8&86by~;prz@=_^1E1v8wZHWnmftF_h?HhEKKdgxj6ROdkGbwd44p~8zXE~r)-=Xs z@#5uaIIZH0zM)>L5f$b!xsMt2!v}d=_WKOwrEX$TW%T7--nM}y0^U>Xl5zS)^Jmed z9nXC2Jq*n$5}a(W*xtz7$iHDqT4QM8g~;V$lBdQiK;kM6A}~;cY8GwBMe|V(v_q%% zhqW{YG7cF?@}~96O*2NKk(7EA%t9p1+(qbrrN=Dzpg4DAW5~{(=g~jsTz7Y)oNXG1 z<6#<4Z$&_PvXhxLg_7~pMlL!zw}?rfebXv~*15j*IGUQVJM&!c6|A>gLaX++q*O5=Ab?;@E^k9iO3LT&DhT>gvc%z# zsh9{sAs=XCdXGPNC_}^25jUzC<~$ihZur#E>tDv&ds00X*RX?HqE0ZyowDZ_&5eIH zWJJ~aVU`) zZJd>Zm{2ab?J|>WNYK7~-h=+S0z4nm>@Cjauk0*Za?csl1g%4E1;Pks$-N9*kb`$e zS)m7_9;O*i>aH=}@xUKS{^PxNoI(}dH`Xrwh|^yuVonh5zrmNADVW@a1If6zDaNH* z=`OomPtQC)Cw{9H5YI~c`P-7soI(EMIEi!lt`k#Jnnl;d7EB<|!o3dAmlC>{Dcr@Y z8#NlVVbFZ&k6#E3cd957p3PNMEaR%stwxZ(M8*w3pYjV+WUtabftF{zsDL7Vzog|5CIVI zHcxpRpQ{mhVlm|0U?NDp`!Agww-sf&xr)z7NmlK#ttd#d#qIZnf}I-7^MTfE{DEH9 zqt&dI{yFm}Xd*kZvgB?y;c|=G1 zBcie?x!{EBUvm_$uPZ?^&m795e5-TO-+?PY9Z8i;umZ8_EN?1D9?fK3F4U=$8q30> zlmzXnJ4$`Y?(tI4c?Kk}RJJ!E3 zABe)|V)GOF&K;Og?p4CA(B_L1ru_jNG^gtp*`6dB+ZFVh1cNPJ z=DCiku#hz5S;yUts#!w0&A}&~Ywa{HG-DYTuC5QuTbnQk3iFgr#Q^!^l>F=Z zAL24t(+K+>RMtj-c-|Z1E1HG#bx=}kad0^{#`i=hJ7bQIODGR$i4QWI@7^Dm1YVZ7 z7Udp#~b`cjf@x!rY|U$F%KWm$druZsyDMv|$A#e5E)(qR#s2f*C+ez>c=b1=_f zP$+>=@eai~5b>R%I|T$su!pVs#5aeyH2w3th3-QcK`2B@B($5kl0?7=N@<9~AX`$h zD9%2%ZWLIWm;9}KP|RlLC2@NYDb+T90@}d8jh|4zfq5DZ;(0P~j)$Q6pD#s<_iY#6 z=X1m=ItJ>(rOwU8X;a5r+w<0A3;B6w^d|=QhsX;uBt;$7v(;1H9JFB-(20=A+e;=( z3!9CBqliO{Q^jx!<6vTp5bU`dY&+*H`Ba5wDo~#!%JTBE+ThoH*e6B0T*1;>#it@h z@A5dzPHw#?JnDP{x1+Psy=4H2B$h}%V4I@TY{5=t3Y8sAF(4x>H)2Q;eZ8W%aGrY7 z63GF}ZfACaaL5Vp7yu;!OiS#BeZ|E6P8)qc@Y#d0_J+IXh2`>*PDFvKC+LagZ+-H; ziX}oLbJ~XYD<&Oh#sDahZmg7v9CWlK8Sa@K!{pqG?mC_No}@E+KlE1>LWY;}&n4jo zyrZQ@QU8m8Xk+bLjk5ZoO^E)4;?F#{d_#qeDrekyJCm6Q94`F^f7-{W9-)J{lER?R z+>g2rO9>GX+XK>3vPqlV{--L4HXLyShKH&1?RNN%hE-8s_2->c#vh$Zz0ha0LIUia zoN!~jII2xI7YpG%?8N~nDpi{xvg7SEVns`FTBN=3M&btgbn7lg*+O-cq&k%Cj2W z{cXcoK(?xRH6ba~PF4E;{uLj>FsB_n=1R-dFDbqVL2mqoSm^bY#B?89nD6)AQ`}#( z(J)noS+H2$2Q>-9dg0ew)JxA{`y_C04=qm}nkfsrEC7H>)G&9zsN+YztgN)FL;1IxtZ|#u zO8Q^U_Ck^9HOxrBUH}L?w}Uda7uMY6ChTF$^}yhG)0eHxI*-R*G&k!&|0g?6GWIcp zr+t<@79-^Avwq6nH^hElc~4@z&Wj5Jant!Hid-<(Y<~$=Q3GA6jpH(;T?uDfAXu}k zDWNejW8&c?F6SX5UuI7GM>V&%{Pe`^Mxo_Z!rztk**yFZ8|o!8m@)tlwfEE8Cni+}9Sf0IK{RbG*o=boDb`D93g8ET zqy53ogD4rfuHoVMOa^we_I0*wqz$i+($*H7jv$g1dl9}cJWcM#Ei)=ER z>Nh7DZN&u6-g%`pjTN>BGMbN&E!-)+fXFM2R^R>ETS@sBXg+x#{uv?a8XB;wh;|$h zC*H8{F4?wKOab?$LU5tPA;l1)l8u{bm5X=N7s-U`F77S(7I~2Vf z<@U$tbB9w=m^l@XpxDdXD;~D;XodBwy_b>IQgqQourDQBkX^pWHM2x?mphtyg7>|Z zWGy+(Z#EgHUU@s{>TgP!JTKeXlS5$@-`C~tZ>uqe3ry5s^uUrfEm# z8?aTz^-Xb)&dc@7zO~%)hT61ngULE*1N_a;{D#N>*oCPK=}b zu|?I_PX(xqvF|I@tSWObGg;Fir=ib(&!mx56=RQ^Xjdy89%4O+p_I$#^-nsMF^CwL zy3@njF7(wcltXdoS<#T|%@gzJ0xL|eAJODe(%_Mn3#>JXg95;xR|Zx1{`^9SsDyeG z&>lRqeey*{cAGG;D3+%TOcH6A%a_{ZPf4B@h>MFmHoyCa( z8z2W}@zG#2VPcQUQqnR$mO`GSzvv^pM9q(7eXo9Egw1qrUrFn|?TQx#nrVe4ZzlZ| z{`uFkv6Fl%bwI{z*GKtPR`3krLtUE09^qL!$gD+{ zKl-Bno0{?CHaqPIG`28LG21M)i3OjkiRUf!qcq||ob8fEVmwAzGB>!0%)I2SsP^xS zTa$^@Q*pQvix*~1p@JWRBFVgXKM&{Lt87H!*f4NO_og9h0%K92n`B-NX)HB8*B78(%xYkhlrbmV?ZCWHPHt;!&F?%)3W3)maMR2pAVBk2cq zTe76aUECw*GTk10C@2h6Q~9B1*2u7LgmX6Lvfa8FoD4Z1J)z^WG4J*<)9xFE3nvr( zb{-E#8X5%_gUnSDxdDdUeCHnhsAsU$<$(NiZn*&#QH?|8@qo($WG^|~6LN*Mu$lh< zBGUaaay>das1q0Z%Y-^AA|KjYuu(`(UKM8VdbCWg=$bG7^g5!eY1&!R_jFM9K3w1# z?mTvy3g@ZI`R>H=<+0R_<{fDQF%2O4b8V+b0#5&3$e%`>?Jt1W{ogU+X1Uj$@6CGd zK+e(d#f4v{?fzz-wn|ph6DLwPipe1G$J}UyP1G@6u2)P`wHj|AMtTwG2C7ok6IXdd^GzY*c#?-_gY@ zsdVO5Wnz))rLQjiY>scT*+Smb;T($G`6CY66?m0rxx)uwdTzocNoPV#z5sS)D_B`A^Z!1-O2EUlldPY6HJD})Wf>=Boi0?bmqso`(f4NX#C zSF7A-#s6cxkjXiaxJvVO`P;!sk?rE;>nX14IFK7JkZL=PKoHxVgT+Ckq~l`9_4aoE zZvN`eH?_0YHC{zpM|G#DEB`QfIgg5mZ~x6?sVw(AY;0_7^WEZW*2mK0A>L@r5>K7t zko3u|Bwc#&_*0p{xWr}k=$klfj6A#QwrDaL$7gV6j7v76DJQ)rO4{BYv3BUZ(R>CT z!|7uh>D5Ud?o-2ZyCr1mQ}xDAin!hq>om#X6*?zMa`@xs|Hi4Oad`5%JcB(K+H9oQ z;3(}v^}o!)ngfC7v8&e82gOuzv85*!-?JV-{PL)Fy7I;(yF0qbp~bgG%PE4Nf#w#O z_b`0($8cSzhGGsFi)Nm*L|N>!k)waDxOc$Ixa%jH>?j6Z*l!Em%15~+x+!Vz4D;=ERJl3U`V8>!yu;B0Il^`=U0s3x zQYB=e_f{zTB}`f>WPrG5qnDj<^SSmq9j>G-X1kAZfR2Tp($OH+S?i{Jd9f}|u`b?j zKkZtf>ACILgNq(pDPUhLPM9gH-BpCE`+k~-R!3{=UaG6oeHi#haB#^RlRXkFieXhb zKw*sXA(SgDe;}TxezT(6prS?x(pKJvQi=cCcWoIV`?^Yp@6pc$4!9dn=; z+ny~y(^QDv4jCvSODY*zQ`0y+%bMs%sD8$-QR9w+q(L*tb}KWr+nzn17x)0@&HwiK zU;IXt$GS}Rure(cNg6MKS#{gHAukxC+$G1It%4Npi-(pElqw!r>vc9f&nry<^Ur=v z3%6?t5s|}WIHoGM(fz?etFp{*1{DBeHmsmQ)xE=C4Z$UPK=e+AC@0_`l+H-0`tD8O z=^KMr2sEQHl!s_8<9jqCKYnWC7Yl*pU5dE056h%LGzjpJS+Oi;rLH+|i|> zrw_o=xp}Pe%EXAs`H2G?ao#W();lCNEksE(e>||{kuLB{w>=kSLk+l?B)&Y3^R7%2 zVoJDX&y|n~#5p^8*P^;?Xo%+$eQK-mX|qpYAL>5Hj;E_1cTmMNN~i8A@tt6sH~Nbr z|IaeZ#eN$+xUIjTPeJHn%z7*`k5!)Oj%yU(l3(DWhyLg5J^ggf&-PYEnTHy80>+71 zT0bM3xq3zpOMprDb<0J&E=NhRsd5WTCKV}UQ8ACd&Z~6-RX<=_ri?wzAlWR;@f0c1 z>LI0(bj+bezTp1Pzh(;&?|gCFeWD#)fUBc2^Tv=uYmyBqJ^ZU&(P&h+f--kae|&yrEXRq`&~XnK7d{MdZ>osc=P5W+j6DK zC<9P2@ssb_Fc2#ldC`;FDDhVbx4Bvlnl2LH?N@)wMXrAh65{`oDZJ8uSc$r>p0UmS zx%cX!1_s&}b(7Nl(7CSws9KY1Ay1;c=GYrxcEL*hV8!JJ<+(-R90v1|qY(&~GzK0nC8jZ;&2$W6mnda~3 z7cGy)F`ecxFtUjzH13>4Ekuh-!4c*W>l2JtwprfSCOAG-CJJlUP0*1W)h161PRAvZ z5u06Uwy1f?_wgNk)1H-myiItDIf zh|{k!w0DaEbtY9oi`>u959ETLy@P7B$Wjefhf1#-0(2L?49P_*j?(6{wH^>Adq53Ia~{z zRW>p^E-N~K+2ZzUzk@I-l(e6UYA5V51BhjP>H`X8R3@A&wdB?ifO||;%ZomzK=&M`1#E^;ft#JrA9^%f(kFKcAjyHMB?0v}LEbQz z_in+`^G!gSb7=x$vwN;eGcj3egT)l}9-g8DspF?ub3EY(Ywx2gdF`qZ_FNgb`+*t5 z`;5~L^R|Dx!jwwGUSlTb<>!lS1i2RMJZOrQQdmY0KdJq2} zZrV4PtQEjTZjx7Z!0e95grQl~g{0xfYLwXmOlajf;&-uWM$ z(yH~!D4+E9nv}##Wb7Et*d)@np*Xz0%j2-v41VHK^#Tn9R>G!6=VJnYkv<3wK6}z~ zV6TILW8t|`6Rh`voIlp?v&qopB#3SUAz{s zy_*~aGS(^ZZr%d)4)nVJBkfJ9CU0+V9UHQS>;SJX{zPnpa~x}+HX_qi(6lL(32v;D z{XDkU&bavNv%rG~fs1f3UHWx&eRtV$%Z>YL4ZP9VPreZG1rcEk&HZ9WxAO`JFrRtQ z%RlLi&En5^{d_a2hO`W9VAbPdb91j~&vqS#O z&Cu>c!w}l&44sjG(yfJ0``<85o2d0P;SqM{rjPvV!TT;UZdmg6<}7Mq-DY3c>-A%a zoKF8J#Vn?6KNB*PyMT2-9wsj_30DY^KICq6Ovp_|_9ip>W?(54)7ZFQpYK@ z&iPP<-}^KSb0GfA`o9Pn6~d`O+5X_fc4Kvh4k$8}z;fgglbR5Q(ttBhwXg?5E#S z-%b2Ez=0gYn`>-)ol9`elGyZj@n}@RMn8sn6?UOGTF0!ab8HkMW+7@{hBP@lL{2Ql z)Y{tEvYYAZugYr7BL!%7IZ?54Le)!XummNm5t!W+_3@nxGOeO=eB@DCL6;h3EY|a? z(VVg;y;zya+5(QQ`nv@N!1s&ugpkj1{iRoiI)MUxbP;&8a4l3Zu?6DVM{mX+y8!7-Fgq_VZ~fayEltk)^$d0nruo(J+>agJ zI&gihVp)Ik{`9rw=jb;Yk0=L|&rd>-ludV_6%ayYWeCOq)Oh#LYkxYg|0Bb|bpWtl zZwZ(y?xzGlZgf0P%d_FcY?X0;umBWdm|Uos5i zkXQQm7r&|yRI_T!k+6-3y%0D+<#@)BauVyE7gT=o`@`}gSW=mhtU-6i84_$>mI!19 z`_eH1qe9Bo|C4PCFxRPyDCE+neUxmJnM1g7{t$kOMJZ+P*pgz;b1vV%m#W!7_2793 zioV)BtB?Od__NqxTuGDH?1=~57-*k1h69fNd(z<_jzlyrlLfV7kd zNH@~m4bt5uC`d>*NOuV+twTt6-_5!HKOSVh`S!clyVkP+uz7iT`AE!&jd=JE%ea7^ zV+%}%mE-Ie9tq3u>aKopld77ZF25OS5p4C>nEy(Ham}m`YOxZ60xTsKM3sG;k84q$ zw5;!zp-33vLZ4LN#FVWJlq3j?T@|qC!B*eyuEfx1OELeQ!=N^xRwVS)Er*mp$?y-J za!o>X{6v)hF&I+`0L_?kzf)&3@3mrRDb5py(fZK&Tv#+NOExeNidM5HfTn4%o|1$ z9Dmeffq1L$4}4CtVtQ-OZ3UZFPo$0f*6~SPggm(ApFexOe*x-tqwsv8%U(=MmQNse zJK7!VM?k;UXa%zDjJqR4ka(G$&V1lsL~Yp{fHQI=LaXXlU%UsEL!BFb$FJ`rLN3RQ zZr4dXa&mKWzG_u)cHH7$NsLx5?G^MuYC!aUSS#ko0YCn&%fdBAL$cEIbwV046L7y$ zo&*Aq?ZKTX&yl(rGmhf*>=EiO91p3rq;MOl##NmARh&zi;47(j!NNpQeSvIv_db>P=#IG8=E`aG^$kEC^GbQO0T`CKTZ!r^mHrBsiM zE}ow1a}%v-Pd8eajKc!5zz4H(k+#i;wb$3DGj4uQib?50MAdRR5w{9cJq5T&lA#b_ zkK(R$sc{KZawTKJ>>~3uHdd|HQ<+|RR#%+J$upwsIQ1TF%26Se_S;huTXJpFKG|^I zpF77U`|p_UU5`34p?`^SV{ANf=n8Y4#+7**)4i=n)lFdUqHs_H)*QkiL(j*b#`Q0I zZN1q>DD!~5V+WooDtUXez#}u)>7km+`CV90k@-r^ibt<`1yP_(+eJOyM96?wTtun2 zvfK66E+;W`UN{!FKL)*`cxwn53=} zl=aWaSR`UA=lrLh#}l!}1_*&T3u4QH&3Ao{{BKOZORX0j0zXlyQT{>%-=5MZr3m(G z-OmtLWkP5$4fHaIBKat>Z|>Tm#O%BPngRCHLi1Mje@}#>k*XO-%y}C>96AcKgW~IB z1mFhPBF`uAc{(awXNN;AHd6DL-`3_Zeq#|{I=$^J2AJC*o`gG!)}IX8CoC#k?IGQN zJeDnNh+UQ>x|KmSs7DR~!rSy0F&Lq9?hpl&Xav>Yrl)M$8p3+UapC6q@I8ppXan}$S;x8C9qTt zEjy+i1k~wsQFvznoqExClz>{ydtiu2tjrfoE58QgpSsuU0q`*Gd1$N<(r^7)!@& z*;^$S1YlHRx_?d;*YN$jpnzc{3kbqt68~Jix)Pewx?VMlq?81()j))GL(euta&ZZ5 z`adH>!OT*J9N`45*;Mjim<2ULF89BXr`CD3kP9zyA$QlQLM)f-K-2i}0gWYS9!7#c z4I{_>+YfYch#hp1&n}gT2|?0~i&TO^7j@mMUXPu!!~B9jV6M~WZa%Wcdb>qFUXOw~ zxglHdwx~#an_cTW)%0xkM+Sr8;_SF(4%TK^Tc-P8VPuE{+7=d5W5o~d3}UU@DGfeP z=1=R=w&$5DO}&@aB7aQ20h16g%maOai?maAN+@hpvEj+fXgA8&tdW>X)+I0YHA(W! zYs;6*lGc|;pF0=Y;^x}-=T~=%GU&Pl=NRMz|DGJ6mEG(_wcLI zTDIZEy=Hy~p?BR|?j|`jCsVI|j}t*s>8dBn18YJKFEH2j!-xLJoD~|b*K#>J=&;M% zlksflY!yam`qtl*ri*)!8fD^)57Cz>Q&+~D4AUn}Dbjj_P1Z$nKjen6&S>%jxrayQ zIp68d-gU9+i&)Ot$5ubX6f@FUU;^O{GC^N->6_CrsgQ7K3DbO%=iRmsaSjq(9s%bM zIXHc&uuzj8YU30A%@G*qs5S}wZZE%Gw67d&oN(`Qf6g=2o!fSqXvoffD$*xa*SSRh z=j&tGKy?P#W zWeuo*DmpLUSM{*3%2swW#YEBdOM9_$bS5QkYXrZv0#QYWc^V~XI+4B#iv9EsPqQRJ zJcUi_kal}t~qXq;>c?rO3czOOPZY-j91ne)%ohM!BMqn;ZrzCNtvg6b3AKQV)JgFkdV?w>XUI+gt6P}2m z6?8stkd}5V4sMd4_-FKYdGG+#EtKg+es|V>*Y6g=h{T4mZ8p{ftXSap2mfXA4RRf} zOCrc6@dbtZ)6Skon5=QH?aKx(3FS&~1jw~Nk#DSsy=bEWykWyCHzy}2_*i!3R`9Dx zezW%Hw@BPd;5)0#fhGUq6;neyj!qxxrd@-Vi_6UJ8K|GRxf9b@KM`5^{ks^KCv)^r zh&*595&-Qz!6Le=H+~_Iws&ugTY<&kMeroEL<4eFDJY+mFPh&@mw<*# z!r&Q(sb}lb(F~`tq`2;(pb!Nud?KXgkA&0KM=p}I^x2AM#cVUkc|*j02;0VFmyhI4 zP&jgZFlgG1ZX7Kl!HYCv^M%ph1m&^F2Hb}R209}03Y7;eJFj&zA~X#wFA?dL%+NsP36R_ zRo`peXv?My8HWR~*g$aL&jiOr*`rf92fn4*@;fvgk3n9}lV%J3Di5rKM9b;`#4W86 zi&Ydyw__O(q4TqJq+@4Sgvo;hbH?i>PL$Jxg#gC-as?CuQR~s&PJK$47vneE^3H9R zI@E@ouRVyJ8Jt`wm#gFoZiD)WN)Az;ic{R7@r1^I$UWPIdczw4pxTRd9_#sQ-N_fz z^phaQ6`}GiO^*Z0U$4p3^(J|tx`aaJwAL-Z68{x~|BEzj5L=kU_}=-1E;V{p>&sy% zY61mI-nl6c>~v7tH43n^K`No({noQ%nAFih7SI)budIaa=N=!PpYxNVEMo^EcrI_d zKoI?T|DJdlri}CseV0g%OveqC<1&<+1fHVdk#TqwP}_AzjCPh)2?#7q$_$uLPEmnn{u1sOndVl`>+;MS2A{$ntH>{&WQ0 z`~GDYgnL!f-@?^-V>EFke354o8_E|5Lsi3k_T%i}gIds{wbJ|rYiZqh7 zFKgauKI|CXRRAgZtje$L)H_8c*Z)51VZFnB`%G!#<7yh)rzye*p1QFJXDiGNW!j)F z#r#R#5S9+o9e_J3Vl@YAHZXfAY_I1&ocN9LCwpm?2XnH@-X?-86Nl^FBb=ptw}M9- z_=f6EZ^2?Z&NUWz&ZZ5xp5>;x_g%& z+=TgEh5^aC=D)@-?ZtZ>uzQ<2Vd3b8A!n`i;E10tKkNc=dlc&kf(sWM4Hx@{LPL|e zPS$_>2qIF-jcR6H)d14y#qvX@---Q4H#cCQJZQna=)Us*m+K$R78hfw+`*&H5s^tZ zv!3O3{!iD^@32H$Uh`(vQ+>g3aD+Ij52SRQvH5p`f{?bb*)}id4MJN$O?~j;SyLZP zFsOR)_Vc6G5C4RU41O_daHJ370Gar+75u+|)?&;hC@P9F5f%=<6M5TVoAzDnr}htf z9k%?L;4K1@l7(?%w1i!6^UQkri(D2w;i+dE&Hv7{4S4q-DV!9RXrI&3=j0t$=*h|Y zwrH#(h068QOT?|h#C6q#%`OV8m!CG5Y|)b5y^6$qm;V=b;>b{}+4{4nwTOc8+9*V? z=wNX^asVyP7MJF!kSjwyqH;=N>M6rz1SVHApX#ZU>9Ysdh;otqp09wMhnaRi2BRvo#0MKdkpb;lH}NB>w}E{hWd{ z0hABmDn{N?fgQ7&c*_>*ywZ2ou^`?Uw3*jQt409ovw{(Ntt0~k>f86T7B>}3D1cg{K86@; zQP<(5XTDPNeqLH7X}`RW#w__(`;MG&qLeuF)H5qTqN?uYzgY^O-xSi?91!D$X#*TO zmHk0`MTx5Ez{9{L=iV1~Oz%jin@OImSDt&t{d?^es4JCb}kg;=&QASKFgB1( zQAIJIHhLgD?C4)aWX6*;nDYj`{XXaD9JNtdnW_gD^sE%71IZb(n>^ow4@XcT160!w+fCZ3gOezr9=0VV-QC+g?+{6=MsD+sOOV z7x|e%*z3<<}F#PZvKhhWy!;kj(sO)$ZJ5os+ zxCyLZb0}i@R6j^uV7%5}-2f=ce-a*Lf8?j9uf;?>j)VJwg0gAUtH(8f1xbd z3mSy1&}fiUow2fjmooR^D))o#V_6pn)PF6XwK@ak=z{j9y64lm_otVamyF_97!DE6 zbGv6colsqQAep2Nub46RWB_AojNIQgp%1!qhg~_VS=J3N7=|SSXxMTEVs#Ce%L!k# z(R5s1bUgU*-aHbrkn$XeoO%OrKLvZWfqc)WWHQLxd3*RR-{t8g2XIX<%+1XKfpj&i z#qA(xN77rj4N=)$j2sH%3`JS#6>$Z3S59lmyDDyTrj`KFr@LFAbcnd_A8rAc$)VW; z7=4>+%g%KAgh=YJPIr46e8I~v2M!|0+ug?^{k0AU!0lF}_eJdXut%%H)yWAs-@qph z{KjAz1u~VLPq?UY`(zN}{PAn|85Td-(OPnFy8cq-rFYy7A+|HT*?eg#&pz9^tmQdk$|v^>X)DEXSvQ+k!Jz z^%fI;wcQj;r8$~k0tXhivx0&vm+c&OOMRJeuzxMK$qi@-QpEu`EVyrzi4|umGu+)D z4DBJ9$*q425vtZv(3n|RxRCpHlS;^c=(@$2j`>|jYX(Vc&J(E->$1X zQR_l0Zbu=3P~$^t64;Q5d0Q%Q_yd4F46y4k!O z9QX!uLVC5NC-K1o>Ot*6F0T+FMGpVUO%W=Q#$AFVD{A6f zx-7G+7btq-;gE|=xa2z}42+*ZU$9(Jz&UFPVqC=|6q{5`S+%X#JCrcCM1&gNgV_Xx z_v`iYBMFe+vw8RT^w1sL?eC9yw;wKBr=>ds@32`UB3!>BWH7hqctk^rja{ZCn516| z>!~ZTy?4M0xf4u?LG09BBvf0#7i=~kj~HA`$>QbGy{ygqn z9p0(BGX7PL{@Z^3$gkswAVE6v2Ur4Si47dyHkeqM-jN1B-TW8HZ#VH_TDZ`#doAMY zR|Qnf4|cdY#h0(69Qmb28J5*CP3$HHI@wE45g+@Sb}H_;w~FA$}`eumShPgP0lw zmt5dGuD=d5dAGbVeZzKxW`_J~kZm$1`9IW984uLj-?Li(Oy{@06H72gV}I4;1S}|# zB|@Q!cVOcv&4YA7@KE%Rp)$?@3mCo|DoqHj92?`Uqh3-mswuqez}pY>2qsH3CN9+V z&!5V8GZy&1ntmx48Z19enSZz0p>TpiX6)wX#zh+4{~lC~06vP+OwV%OtJ|1qARf%b zv7F2DaiwtFDH|KtcX}{W$mmhmVC9sm#1aoSD1e*&Drl$)NSBQm)E{UZ|0%NrJ&C7z zK7IoHPTvcg&spM}H7hz-@QNh$u&^c)HZ7d(gMO!cg>LamaGe|Ush8u>XUuy4AbHoj zgXWseK~OFd!K=3)2G^9(eA>jSr}tG@;6!$-W#x_|POW7XR8#-btzG4_m*lI@3p|4< zlB|R)3>TdS)6bR|#eBY9nL$hH|EI_y^bs`(fng1->HLm!ZyC+cui&{z4Z7$s+41c) zbMyZ)y@pj_-Xa?UbeK+qyz7e&XL>!M3!E-|E)=#@R=FSYB`_Bo@Ou%Vnts8ABNV$P z6Clvc{JpRukLBTVW8=Ms7s^AJi6Q6VGH-q&{-{jjeGraVbu|@H;fBZ-fYNkpBdy2< zUOo0N5N?9AKczM?Qtec}Kic#DR%prl0W>|2Kn&j0?rHNQYpjKfO(OL;hoL z{NZ+d0ej!)bnEf_-9P{#tD1cYW5W8NHz&SCyi=yYW#_{mW>0yE2H~V;&bv| z3j~F{dyMv*$w{^C8YbqNr^ARF?S`9XrU(NF2>xrcmgd4h&&PH4$j1G(!; zAUA(F%n*B)AtOl(TBJ*to0s;!YO$JfH>@5tu8r(`NgPTa+A04op=sF`t!T4=E_Q(u z<~a(4KJ-ZUi7!XTM$*y72-89B5yNOgm+wTB(VoyX)z=pr0bGDY*?ThT+hCqH04}29 zrzvBcx;KRlphfal(zJd0-FQg?z>^sg^DK}}*a*pvDK$?N!GWiv(nk|Y7uZ{D?RIGM zj=D-6EZ9PCt5_9%VMI6^o2aak3%E9A%y**S$wE7=&-=S4xF?hdL|Wo6o?ah_XsFf4 z!)^cpRmw%OS>Ua!f3|^+idU3Tq8b6=EB4i<*0hx#6ah#)RMI|EHw_d~Qwv)vE2RBK zzra(07yn@4UsSGHvH1O_wNPba*U#Gj?Dubj^S!m6Fwg;}!YXxtAQbS{y&Y8k{p3SD~-=a}h#!O$7D$7rr*tzoP zh67J==dDK93m!xXF6U3hA4Y3k1iH?ET5jw}{BIE4V8KLtwf)V|ZnvR_1tdhcAc3T% zXieb#ak&~kzGVpAX^IoSCvB=7!CDr(R9C&dGTFfn$7C9TXGuq+eG0N}@&|goP8rdt zL4=R_8wR8QS^{YdDj*UxC?qtA!O7*3DgxS2Dw0;7MHzu(N05GXRY{T#h1VFuH? zu6gft7u+b^$OF%BMdiC2H9rBe{D1ZHNZ+kIjP*NBZR^ISWA<#@HPMl{0uVJl?ks#Y z-p5{0nW4fi*i&D^F}1RlojSo)8MxcV;|Wo&;~DT}@bDghA3(6JtWN)p5+<%==vCg# z4IU!VJcG)oLQ^=_C&hLm;KB7c9zZb)depIi^T+k0XDbs z?$omlL^S^kO@MZ+QIYY7zxMZ`!n}H}BLKV6vg)8nWrw2ei@khSD!puyrsTlx z5$qUOI}+hk@}jEwaC8vy9~8Y;xyak(BPG7dU$w?4J&eNmN8#cq7e zyz&Y{WPapY`;yG=)7jJAw*x;sG0iGy(qkK8y8O^HeKFs0|C|kSYbYCnsNUrDRbOw@ z7@rIaHJDAe%ti?sq&Q|$;AeH8U@~tUYmm0DwtkRQ4Frlz7Oi<$xQtD~F0_+F^RKf#X+rW7^;1)qzRKROwJ z`t!6|3+j(CKUVyV7&lqCaKnU)kjupw&z<`7FfRA09Nscw`iy_NF@AAVP!@K2QG)1b z*bJ@P!E#JSLCML^K-AM8-K)H_bezs4hwvszOkU~{n$8a*uc7`K^2#5XM?^1KR7>~y zr&@xl{5S6iyCt`0aCS{=52dpZRT=hku4uu6{dH;wRkyk{Pc0d-oHU|G?cyw?E|WJ^tT5<$7PCYo~ z3lN{P0w+|8#+c}RnOV(47wU98lbn4Fi4OPeA+?Xg9$#Xh7+VtW2MiBbY5DGVm{p z*+5uQGx!%;9SSbt;C9GD6M7+DM6QIwkUoP)4H%*>pkAP@ZLdu}ryk5F&yZZZuGAk4 zds?cO9CXxi#--RV;A>}_;;A>C3(4P>uzO}{lpImJM z1R_5_KmJTn&(nbsuyO-e3ef+@Ls_N8+DNwP;p^#%c}I(81&%sCa*)LV3n@JnmkEs^ z6ctSM*Dhzt8o!Hvy!tGjd_7iTLACH6cMZZ0Zk@3>vBW#Wmjg2}EacdpFnku^e9-mpG&$)+eN{V56cRpuLEQ!XQ zx@|-eZmk!OuJw-T(FjGAY-d7u(&+F`3IY#`dZoH8pw)H~b}I&J_2`Eth6l;$1V+-T zATl9D7q~3|tLsy=GgOT!Pr6JAa>$n=-=(1sUhm4UpO1$sBHvEjLErOGVuNpn zi>MksfsxDNq)w_zsk6Jg1>!Z{_W=6~AS4UB0CQ@dj!x}@j1^nuP+Oa*!i;|DXQ_fr z6T=aMa}vKJlH!A}-Wy#(Xd-f7{F69#b>6*QBj_g%y^=zbPjeLV0UpfCQ&#UP9^3t2^w8Cjv6N| zD5^x0i2?VgGdN6iIYz^Vkfc^aY2A(^Rt$g zcE_f+qLe`kw^iZ#(VryzxmnJ@W71}LaCkT&6gHD(E_Yw@Mj(-}B5k%2Ymxdu6mx(k zf|9@SV~dZIlN6_nYu1S(mw-660r8|D{1}h)I)WmyBg3-nOULh^hXW zNtCSlk6oV#zb*0UTLj!RG9LK9fB(uFk01H_0K6c~jo=*%uI+T=kd8bCvKYBsu!;wr zB0vdd8;~LehJR2c4l2c8zk?v49x4k83QCCmt)P28%vBnX;-g+iZ)ExUIR1IJX`u;% zhlNM~hGXe8!b~Bx$TA{9bUHUII{yK5#xPrZh^l04cA&NXl|$M3*Y|Sm%ZTDr=Yd2> z{e;~*sCM9v!jpL#O_8;cuO-0Us7ngp9dQg6TaBnwJACSRyIq>w9FOE{ZOuB&L+Pxk zm&RzyHV_&tK@xn`or{o5go=RL^+6X^H~i}qC0ZnMoiy#!ITvC2lF3fe3;r6$-wab# zub->~15VxVRVnS!J3E4RdfliY88BePd5ixHfpg5Jne%2<3of+=B{yZ;La$TBQM(7t z^9W*|Xs}G&5C;9SXt2^J0-*z4DM~G3_=W;Wcs_?bPk_g&U{#uW+iPs^NK3o>F zD1tpdl;tHbu}qbJeqKo#O5f3BVW)|q`L1}!M1v$@48Z}myBUv4tqL&j09lq2`$Pm7 zzCcrU7{GGCbN%jbubg{-l(*f03$cGDc&Z10p$9-{9Tisaa<+QkVxfKB5U2&^FCRbt zl`5d}Wph6SAPOu_2d;uF1ct4pn4(-kVYk7wldYLr&LqWf1AMdLo}Y*PPWp zai9;H(NQ0(4 zx#RC10=E5?d>Ub0?=pPF)X*g#nFsGE0@p1+d?=l@0%R^=iFm;mroxc8?Sh%Eb-@Eg zptvN7G84|`NPYPWaUXLsqeKB^S5I{$UAi0$TkX=Z(2YW8{3_ zJQ)Kq_;08D>=0)Dvp%QY<_~XLI`^o5AvcQSl>bs2yd@U~<~H`jcJPy_lm^*S*$G{G zfuHq{(_rB9A#T5;C?gTiQwu@LZh1;9JbM|mp-GF=e+#@t_KzD-R4)Nb0U3y- zpwMIop_m791-&ST#jElvh>aukHHl8leQKBA<@n3kHmi9Te*SBANlb&e zuUGk=u|hq3N&OJ-1YB>)*Zl3?`~CTzaqmN?@%+OKb>43~B=xfRgCIEMeMYu3h;Q?e z-;J)^J~0)KMe@$D{4#a0w0rjP>T~@2T zFW=z*y~-@(j$l|W-tQ|JOb5aV7Z1oTaFK3$h>^!M>b_^bT8-yTS8o2jZ^2h^BPR50 z)TAzHeFPkm4uZjh!sE_qi?{}btmv;rL`6fYW7@mE1GYzq(Zi(pwY>R9clXP!NxG64 zEB?&H!C>820;9U%g~cDXoB@ef6wkZ7DAINGM-=>_>By8Pca7J~KmR&|T+rhjGnBw|Kj3AB5rPILLobeo8_op7ngbolIkaVgCoZ<0L99(quUdh;Wf=yGz z(&wr3--JU&?v$e6pX+2zwnOSMXJPqlc$F;&#lcw_#| zGY}MF7WX=58$WsMcL2}40Y@sBjR6UA@5~do5A4qX8#zr*v*b6B2R{5K-%M&m@;o6B zPp;u&{Ncu$!qznxCHg#deeLIB{=}?)ZR%*pSE2lR`(Huj@J{Cha(%ZK+LZ{KfoNP! z6omL5=stjPHe8%!lVVosuwcOl%FNWU@ZL(iw30mc*G5_pfU>u&)~sg%xEQ#v6d!0N z3p7}HeN~q;Cn~q+Xpt??>$cg~>(%CFB^38iSdaJu&GRF|yf7)0(uFW!ci&nzEKLaW zzQc}DL;srhDm`Euljc}8t1E0q6N}NG8joB=7;t(j*5BOq8v3P5eQ?R)HC!0EAMLmj zV2Jz(ZI>9xa(=k?G0l0-n^p>l2R_b6>boZoOm(vtwB1~_k3o*Yi^DbP5uLsK3o7dD zb{(!exW_#xq%#80@J2V_Q8rowV0w4F@DChm*cJkZ>Ms=nP*h`4vW5Mj#bVyipX~Va zVe3vxku$+5ooQe!_uuzf0rL`)9 zCL7o5YRi}tK3Qo3wR(T?kfKYw6H{1R98BlK61piKaVVL8V6^n(U7Gg+a0?E<;?KHI~eb`0$)`v*aQ--wmFO*+$|p*8Afwy4-JRHhZH+F%{f1HymM;q{TOhWn}i#L z(EV$;_#UH)SdetnPz1{GrYskHNK#JO8sa0*LVxJn$=`wfJXq z8OZAiNL=LYep{K-m_D0$``5xlq2(*Ni>3ez=WvwJ;_Urg*YHO*o!w z0cov@oL-+<@;k!HxKz4lEPMQlRXyS&7qhCr4@%m5F<`&&X*`hbSB{S2PhXTReuZhS zVD;|Zd~a`I0c$Fc?Jp(vt>l%I>+edZ>;F(>5XMpL$&<7MLDCRkVdkKu}t ze(s7JE(L`K5+4ulfZM>-*jK*@r56sOA-ISX>XSk~x;xJ`wJd|N^e(RzFfw9uaD)`| zHa36JL8TtZE}?E#oZJbZW8@3dg?jghWHR@F@jZKSY8y>LazZ|U76B{WZ%z(3})j#OC041OGE9mp*hIo50rdUyC z&9q8qPUuKlOEX}k`qV=zJvjFd2vy?GuwN1(erWj(`h)zy1}Fap?X6rO4e#*DZ4_s_ zzazxat>g9&Cq>K;aAInG`Uc8RmYF?oI3zqib>v!!kLE~nNLU82h_dcvmLno7wKwOy zo&5R)(NI1G$?8m_NX^I;5Cg9Pz|kzTjM-)Ek%}zyO$?c=Cz(u1S2(wE)l-F0MGqs- zc2wH-d4<-VJq?~^*Zj*EF7O^)y}2aW7Q;XW8AHM{g(2iSg70YPSe>!RAx(rO7)nDc z|tGHM9#=;>rdBC*Ry;`?qt1}Xh-z((i=^43u6j942&Cms2`QyTyoPl*%@KxZv=+y;o zd?7KhSe_K&qsF(2>ED5oeJCFJPE6xfXyjr@29DC{?Yj_U9wt4J336n64pGhoRFVs1 z>31c2dy=KoYX-RSWz@fsN9*wa$UzH+0cT^>9E?#Ov9DJLnzbwZ!U>9-Y8GtTB!$vX zRM!~9`X94k`avvC8pML|RnB_=Ll&5g5l~s>1-E68c?5Vdp?(EYy;+V~@-;CFB7Ayh z`0vFofl@(JSQs&P# zyuaMGWY_TSsFSSH!ouUn#*r~s+BlrF;ISQMZ!f0*y$-xHi_8G&p$_yWot>V$Vb2aG z9N^|S&1?944sp;4WRE8xC`u&H(!Rs|YT+(xpU|x1Hzc)KppSpWn@umMN0pW4fnbcO zly$t9G5QxgLjLiPEd;+45qVk^N+d?z&JyrBYlK;7+eaP;`MyF{-xA>>PO1STmV}ER z53kK$*+Q^TP=PTBAq$<3AYl1U6v6}!6@{q%J}v)k8Qz3J%s#y!$-zgVZPLR(6QI1% zEj>7k)qVu$j{e2%%>={o?S6T`EVsifVjDJu%>gdnxu@vX7x3z8LV3$g)DLW7 zz3<&M0u^_b!y2D@+fn1gj6LL{zA0VU%O5DOGDNzC=LgXgIaAOH3jS2MlFiP)uIsSzoPXuLMX^xl>gwI-Z6*7YFAl}r? zI#|%t*Y0MUu`<=c=>S*caiA;uWzqt8bCtVCw`J^LCxsE8*>JYy15jW$-=wP3VUvkC zcIym=m!swc&2kf&>SEj11?nr2zE_7IWK-LLA`ku+gzw!w!GTYzw8amAt8NO;A)Rhj zU`mb2quLlK0ObHQC>QuyetX;nRV*#;u_KhL4n+ue&{^m{m}KMVainPFf~di z8!eRyN#CVBPZ>6ASaReDG7eRf!V?zOTsr#!(ZEwm-XOTW>=)+;&5-_+{;?_0q6L}C z^8*pT?q^p9FP3k#D$?OO1!CqiW-Cx$owfVMvrAtWXu09u(1Q$V^h<^io zhl5*fmgeC0=>gOWtNOqTn&6M#L%>Q_>UY!N*P{2O^Mw1uqX}!lCiKIXA`@d!h4_-a zHPf?g8MtK$6)Vph8yW<%RRpHTK%;HdYYOhti2L#=14Yq85%;N+RvdE#PZHyX@EH*f zQ#3%RjpP;i|Ix;lb26}T!jzq%5EG93w#cM#4N1;$Rx_5(Pt1!vC2I;;go8r zBoCMR>&SUYRtmPiCoO_mH8-WLmBl+?p8A>_N3-gES16Xk+1=V`M##LBCn?gwu1ZE8 z3f&4TU7A@@J#Fb-YiM5lGWw9G!RQs^IG+T44!h8zH)H3LhBlutbNpxx+rlt)7eUE} z)6txPY?`tZ@6zI;UWl@Ocw2y>t^t{v-8$`i^f>6uB}h){I*3m3$z1&~o#reC&D%f> zBW2vqYt-p9y?Ei>p~rso99JGQ3$9ODbYzA64L1X^veCS@siozm{jqti5WxNw4t6h6 z#`R~b0I9!gUkPVc+Ynn@=JI-S|7z&wDY=lSsBAnbs;!&b{74>Iz!kQ*q*9oBr&KHP zFSk)F;nc#y!Yc1Stmro%VbNjIUpUnlss9w$QA(vFhT{~Df(Isrs20c4l6Phhfx!GP zDzCJMrm-5IJ275I!oFr+E(C1 zL>hf4RlaH`DJ;#gSBUM?Ec3UJJi(;Q)6;1zjgzA*VR3@Zm!^Yrr;7nPo8-I?21(;U z4XHOvF-r--GHCqJ5N$w&1PZ7B$4^?W)93u^#GjseV4UYMBi(0D$Vt0lD;g6i$-mR) zsuc-t;MpO6LD?FV=e*7#Ta7IM+sxchB)C8wd#z$@>_g)8SBGnCD@HiIV(PO#5<&p1 zn2qN_B2z&$y-iNVWm5!YOWT>Ch6_e&+@x;;ZCIV@|KM0>xv?H!5a#fNc0a5MOPw#d z-+#>fJc#SY*S%} zgY${|jD3?yv;}aT_(6ANQW~^PV;WP#mkje!cUr@!? zRnX{l!9k43t0>{xZR7N-`~8@X$=ONM8KYkMb&e%Klh~T9o(=#h zn|0XY(GI|9f`+yTqEB8I`@nemGlT8fKdCBUq1F$NJv0fr`@`vHX^v}fzZG|n{*=EK z_$HJ~-{>6T@*xxa@(d^p$xjU4T6AEt=WR7L zJ!7nYM$9{_v|~0gT_yF2463Quc^S@G{;AHym8dVnID^4(*m7JT5xw3ONA3ZJL-UQH zmn9mNr>9XhG2rcuyGV(EM)~&<#;;~F#bUkoX_ppiNb~3s76yl2azPcUC|aUuE}pHf zO%-*#RZSm(?798g52Sd^c5L{)fVl?Lx@6s~y^ABajV}MwFWXEZn*#h-ThR}aDxJrr zf@qT1PEWg|zA&jxAf~i4bY$cF@mktD2eXwjgUc_pl3o<>svT>alBdkn0y0cwjHY$WKjpe%wnS0*LzIU2xzMLbeOplQ(yz;&WNq^pq zKs#TRQxm);{qem)tRoEYjRJWa4W#(>G<0-l9A{U1dz=cL%)qSZKlY#2yPvJNEs}BC zh5gzshp%@_KBHI=thIAzhK$pXn;+qQd!8pAJ|d~<-aGj`^A%IXszrbNsd6_AYzO!g zZm1vnAC8o$RsRT;!d)Nokm69p0$nTEdcrj9TwvA4?P$}I2@V$I5aU3&=Y0B6mbhXwi6t~hYtvm%`WOHhE~GAb{fJkkPo~7CA#AG_@ zq0(W<8&t*1MpYeMdI3xVS^dHf(;p_o;9%4sE%3YIe4zik33gB5iUr2JfBc8o{cLCW zDg-e^91fBZV-7kbkzo)4f?U`}7!HT1`!thXmlw_?o}(m$8}PR5`N-?S0CF2l?7-Bs zNdgkbBkjo{d5CbzVI|x#CrTQ7<1P?Vy*xBdMp$q@E~_ii-b`B*E8`dE^S&R7L1Palf+t| z^pava0x4h1$Ich&o7fTs!aq6U%iPP-l{;x_KO?|lsuq!x#t&EhvrYd_=%ZQ9a0Ahc z#vDO3eKp6g5ByRvPeIcSL@bSlrQgfTp>xzEHnz6h)X*RvGMhd8v(`cQz%!3lT8bE4 z&BOj2E(qZV4dd14RlI^#ikhr1&HO(XYs>zJTk_kWSn)Tw|M$QC z$#fyiH#M>`!C78fzrUkR6yQBV`e+K%n-B4P``@|+JbIk0sDoQC5$+NDr6HA z?vh4nq@}wNKBT+5<1Vg$K%R59&Om^_vS z7mS>sFlb~e(Ho!-bt+}MN)J}G)+mJ2iy?}X8L$gYDU!rtvCwM(fWZe6Jkl{(-w@s1 zRM%smo;mG8htt%JN_-GxyB6OY_Jm7=Qn9)l0nR|t z=d-wzf4^-g7rP>gQJ`q*8lnf6?A2%`V}wLNDA zhX-mvjxudE;v3|1Of3(mhBqA^d0}@r)RLhUeZ+>uIV+;v=7`P`AA>Hp#96=6`t7Vc zgn@)zU0nf1Cy?o-1ytxA)iFRr>^Dr2QFKLtN2(srBU=4%$F0-@w5wA|W(`dQI`4&bQ>F6`s3}$+Zf?OI z1Si4@%PklZNVO0pq(_odqClF{?a+o`GGQ;+h%-Qk0;VrHwFZMq(0Uw3?tA;1CspED~`8&EkO*<34uDpl*;j!xp6w=8MKn^tIi&3MN@2iJp*IIjx&3Y(G{y!c5Op#JG(jo3`%xRof=He*8`@KRdd$V3i7Y;$CU2_Hwv8lx{C$ z0v^<2CsFZ~B)4iTtmwgwVwR^ox555Dsa-ixY*Pt3t6%kwyvYGtpD*97Qu9UheC$+1 zsY$k=h|+&Fh&9CyR&7cyW&(+wk>ue4AZK!NazNbBW02sx6(Px23<1dmVk6KQvVocR zXVbLV@-px*P@5AD52!Y#<9p_a#LT;UsOFIHNEdtuQBz4jf%*x9?3hJDFxe_kg2~p< zC{h{M2$O|j_lz=3Op>!cp(9A3N6Pw`G@Rk#ewl$3=E@Jgx;0ppO(trcRo(KJYBnGSQ{LT^7K_y)N$z<%-$yU_s$^y z>~*#tf)4$*m=H%dd}(z@(>&wenA`6{sbI3nbq6h;%9>g0Q#zwU_57SxogVtuXTOjW z&P7?$twBo{U@H)pdFRBdr|KpS0)wx0E2D?NTUd-d`M2etxt!fRm6@=8aYdQPfgH5P z>fUAf*ssIEq_>{gz+BQD@~fI423#C$ot#cVRILgJV~(Ny-EbecI@@xHiKa= zV^Am1e?@x-@ga5+YidBjEnxY(+qc0HimBj!D-6D;TsO>_M$q)Oa#CQ-gMw-Q)!Qd< z6qfl0tToP-LHd#-0L%FM{(C&hLT<##*lGV^@icjBo~TRmP0EwVpn z>aFNMpZQ^eDqW9XLm_FnWT?nki8E#;e=2;zMxMp{iSec(=W+9`&|G!yA^ySf<0Hw7 z%ewd{_b!FiK!IcMcYqTKTq%GSQ9CYT@$PfNYWgQ^a21D8wm!b6;wf&YUiE&>HEUu$nLKS8e|L!u*#0OS)AUFHdXFH3YnrocS3JS3)IQJqv z4#IIo<$wH`#6A{+@^x2T~So-seIV#bMLzcxX2^mkwP|_0&zEEY| zR={Vo{M%i10nxHoXgtrjD9neEwmm`o8jH}+*LQ3R)mVvsBo)>ze0iNfM9VlDBDnL} zvz@bx7=yY4)VQGFW>J3ly*eL&N|khIJaRYSBTgN4%G7;-AtVZ_&*C`(C5>H8lY!l1 z8Hgh#syS1qaQ``eBZ|UK3>f3~G#e5pkby?|adgFyaD=ny?*DmT>Q|v2&7UgM>xGpS zS%v&pCVNlFfgd<&2zG7gs$RHdE#iUQ!oiWFtvZbbFY5Js1!Fuw^6Ku4_i>Cwj^*fo zx6^Y~=J_YGhzQjgH6+@-i;4KBPtsa>JDdf(B~mHyYbWd45vsdoAWM=V2RApPNC55vrI`W=gxmSCnP__0MqjIZ<00PvP`>{(ZJ~r^zSP|!IZxmJ+Z!w zoGoEoRtJ&a`AI^-SDZ-PSw12;>XMk!iOH?@1r_JcT6CsG%G3Eryvv76i);$}Z%t$B zQIap3LyA6ckb5kt(}ZcrAOTUl3zr|u%lxP^g5JD$@XmhV4GZ|4LCxvaw;ikp8wyUe zi0dje@AAA?c|%Vkz>(lg^1zon{wEBbx*|>941rWwxIhPyeA9`HdY~(8BHa+l#q}T5 z&oyTpDKk#x8V6TZSTyPg$R%Ml=}7QDKT> zm`&g()4sk67OCuooeY3I3H9`lDJuPZ(o3o}wz=zSI4}SWpfE`}zz- z$~S#>{Iaek315lyl@l4e8lB0!DY?*P-e`r^7pHY~-S%&X((f+}a-?PnyKn{8;yoeh zxiQM6<{G&9mxtV3Xbc_Qbm35#W-mclbt@;-y(J-PDnr`(;(D0H!%CNizgTFNf* zJL_)k+d(bn5W#A9N&$-M;FOemH2pM9U)U=p6#jeCayl{Y*%ic(t0f(Xz-5v{>n}&3 z>dg+rTUbaRzJ8N_qg_*^B5vrMF54U78FMY@OSIjJfKv1;Q{|;8@ux5=fBq(=lna2& zM;rlL#5Ql%N3e@NKK}IG>eS)9H_={+cQp`U>>!$pMuXlEFyyc@pa~^6hWYYqz9Bf$ z`x_vmAawheeK0oJZbd8&m-g%&0d+l6f!g8kdr$K(KyEJ=A3H_p7`UyR+&!ta+c<+=>l0#Ef6;fFgB$maKi4n5t;r`}^Sd&6(iI9Ng-kr2 zJRhI5-l)CUu1ts+6tIdS*P9O9w9!BO43J(*BYuM!R9*AO5S>y2rf0orGHl?&8wB_6 z%(#ib;8sc_dC~UjaMuh{l#C1^c$3=PJXk3qGXvlq%2m(DE&r&{`T9_s>nPs=$mjbX z(>$2X+yFZz|9o{~hYIUa(cA3Bmaumduh6Z(#P381NUehOIlwCi+%2IR+`dRQa zl`v|_5cU7&7tyq>%E}f?8RMf3R~KJZyj0J=5mV}YH$lHET|XWIl+)xDuov^~KtJNQ zhO=je1U&K6@$wi=yWMr&Lp1jb zlvN|-b~UpO9RwHXw6vFFug`dJB|BoDwJQ-u`0Tr|;LKBlUD3uE!Fv&eqoOaY6VKP2 z+|5%tmXs^nuL0IOpQ{0ns(n^alNg9 zAw`JH;#b#FFp2DH-4J%gz`jpBH|T$OC*p2quzGf4%Kpld7rK)5yOah09k4ThjjM-O zktR;Tt<7)qIHN+R)&HdiuVp02a!M6B3hpGUC`}cZE?&Pzfm~PZmiaRNa`D0}Y|?83 z9*XCx%SY7NxEU=?hL4eOonan2oc#M`np@mqQFH1=G3GpjT>MuZ7tR-i3Zcmwk2uvKAutw(@KpubL7Du6)w*(v=l zm!&uu0!59!MaNDHoHb)GSPW6qdnH_9YW(9D-~(sIivsoBY_y3YupW0UFttgwZJ1DfI5%c{? z2SdWm+GBCIEXDMYq?^t(eEeIHa!-POob;@J#0pXo=f3|Uk_vdNfUewb%T7R%P-M`; zZZ=oKy7lZ35Vilfc95ZU-7DU)k~3;OK)(vD-y6Cfv~I^wLZ#0IeE>LXp!8kSse2h& zKHJPxe_+MwEDy90q*H-o+W%dE`KPzyRhGgDR-LfNn!yy;`P+~Y>EW*U!7195dtSJu z!mD>%L}WJWW-n8CTJKRB@$9obXqSn^JD285HD`DkmYsIb)#wv$O=;oEszzb`^v@{~ zUcj63%nsui{^=gTTfwb1m^3^C4~ffJaEnr$3_j@{-wuJV;JbH{%%pi{-2F;IhXSi^ zY-g0z7~K7yP64#G;nw)-)Su?7?WE&)Iu#h52}f3$3gN!ePN*)zo;eDO^BiP;1?Fo< z-wPm(auJ~94guRvIJ`I=wrNN~0rijX{~ht}dsD{H&0`*KMU~`4IQ2t!%kV!lZXWd9 zYc!HKsbSxGaX@$W2aRgnborHf3Agi4FH|37hRi@-zdsl)OseQ4z+sJwL+a~QqgMxCV& zW$5w(M1D%Fa(2T>%o<93#icV)7t|2`j;oAh+*{=bK}rR5*6O znKwPgc+Xv*5fCKC@Iszp!%zFUN@){iDgQU~l8prAdB)9UiIjjxK3I071S0luGNPk%Ia_;QC+>s*v~&y>42+ z+r2F#izal5sv15|&1U>XYwg{c+@J&pXG^aQIaC>J7xnfGxkCG`Be2 zIEGgO(zzUJ@%E0enQ2Epn$ANsO`8_aP037^#KAWl2)HNU`$WWA#8O`+PJ zZeE`J90UGI+MvYXbMd{~X-bf4Vh@ad9KKJtz6Q(b|FeFSkCvp*f2kSuRu^g~h8d4S zmz|H(ppEMyTFlEFQuZH#e ztV)sMp4G~J%N|f6tgkO}UV#4?HbOz4{PF^T*1)6Sgr(qoi&ZWMP|sj$;X;DX z0)e^fXD18g(mLy5ayXW_7Opj&%RcoEI@W^OO%LSwnZchO1%#2J@)c362@*#h6?hY5`@dWqXd~+EW_=oIs-$d zs8;@r+N1YlOy(C6W6#NNepk2Pyq~DhGbfg3%0BnX?r#sFT-WJAp(*mpZInP*f(Q*6_?#HYLU8sSWXl8E^{Ok$9iEbLYgb6<#U~ zD7S6K=o`6|&vX}sIPY9!q=ya-?L7h%sS}}&_kdp?^VGOC6p~AbT5&#ToyeM_6Hnzwgq(t6s@ zEdnz4)JxgCV^Nv~eE-cPnYvH9@AOz`TU@#V!7{xGeCrz<8{p?m?f*J_2>?tpNO0AB zo2YO_YnLe(QA1?HK}w{8G43Y2zX-^bK0E+@(X3FVw#b7v3>0&br@w;@iGi!fOyx>ugC zS4z^IFf%K400oz4M!L) zc85;c*Qe%(dF$O2Cu>n|!snSVVhv)Pf^N!=$8*J7ce@Xv%K#)xYClJPhFdy#o9011 zLL?^|Z$&5-4kU-eGWzoMsNieo-#XT64wP~i%vKr>(C;W5{3pICf7;HJtkI!MMu@lB z0}hL?_t3A@!-2&?OT-`F~n1FE6SXoE9THKm5nXN zFx1|IZ3nJM0QCQWhwuIJurhBA=DG>&rc{&ftW6i52_f7C;plB)_eAdtM5&xghQqc^;iTy?uBkrh(z~M{;WJ_H@oon#YV^y#7?+LX zyz!Rn`~~9R5v=2`yUvM93{~JfRX+{(^2c(eE?OY8*J_fwq+w6M-V?tyM5?c)&9o1hE8d2~w zyZEItXE7Vks79nDke{ip7Jwn_T_0_b4{9DAfrcD12myi!&z(02WJVI!J~7WE_$NRK zB!G?i%gS;F_j?zTg)Xu*_v{tJ5a==_Z3qos|#g z)-p0OUL@|K$JxUiTT7@ABV_%kZ7~P7Z}d9>nptbgi)Yn7AMU@Z3#zm(hU}zf2&2(e zz&7IQ2er&a(kml0BEf!w-^^GifTfR7ZNT0V*xsq`cs7_q!h{xs5l{F~!xg~JeeW(Z zoYsHvL~%P}q`=9Z5V*g0n4g>_PueJ4{`aY@l!Sz%XnD5(BF zhDa*YcOM0bR?sQWJ<+;+M+hl`Rtle7|Na9MA5Zl|K7Qh+TT6?JV5RiJX$O81P(ahx zY%MKnb!6Cc_G%9dHx07Pk1C|bEgwT?tyV0Fh#CNXh1*>-2h((k&9C!qF2l79xGR#ovMra%9Oj0r=7H#{siVZ@_pz_ zG7`&qDIz=jMCy{K!8bB4T@@VZ#W4Z?zb5xfjg9W#eLEEDtVLoe{OFjJe&Qy-Sa=W8 zwGLcz(v)G-vO63i%hNI~R=JK*_sVW7}vFgaU> zAIaSAN#wayo@CI7J4^2!+jxJSGdBKTBz|;_SK~4N1 z_#3|y+D5W6aX_~sg_~y!3(lgmiek^Mi#5uUpYG7!5(dB8H8!RbjA_K|`X(0Y{|O~H zYDskmDZfqmJ=^Z8^811(BpkOXCs~2^HX^GemH>BTjj>l7_@IA|Q&#F5*Il!UjoEv4 z1aoJMzAm)EdSmRJ!biboyk89sc+!(j{D)UwqECCOFNfpLuZj=72p3u0!PR|VpG@t7 zrSHI$gPnugR8gNT$+|dbqoVT!6^H~!w*s?pD%}-sCEX(Q#!@m;xf3rk^`U zAXhm|Njv=r6@C;hDZD|R)SV$poZFpE6ftiR)st3Hsdh_};Gzg;_%VK6dH>@451E=p zSN8IJBHlG4C}KizHgY%uv}WW1?W}p1L0bHwWOfL}oK1%_woBQwD&!xc zjr5j;-Gx7zzz)gZDXp%{p&AF%+}Nw^NdDhsJ2p8!GV_QZqc;YS<6sNLP%%)^E=O$n zvX|AHB%L-}^-Cg+^6?YHL1qZ=OFYVDvs(`X)yr!az|N8-r`Z#^cbx1S&hmO*+gPwV z2Pp4K9T*hOY_x>WwGm!ROLE-l`1OdRk(Td#gmwtW6V4*(BX=q12DEi*yi8+>EFgMO zy;PcL<|~0(QWNxHn;60b`cJTN7nXNl{2@o*-ad50l6t;^cdXaGjv8pYk)!inCwDt8 zH3g8E_*c?Lirj4`y-rqV{p5aztSOEw?VztQL7ASag`1MBJa%TS8UX>pnFPE^F5qlv zKbH`-0Yh0d5=QVi{@a~|{0UL>XozK3WIox(*U?%`=yhGeHQA1uxf>K2c&F2uOwJE= z&gFKBpY(;f(`iZ27nV`P)_g|F_?gFw99NQYjkx@OqAiI$$!4PN*p-LtwbZeci1J%` zLa(07iFj>(hLrwUrnW?{Lsk7$DNUORY~y?@-qS^cF&IvCm~Z;|Je*G3J1)lFjWvTg z6BxH2ndmZ4QTqM7oA3^)Jf0F3mqDU&jGPRk@Sw9|%Q0h=u1}OGW?~o}R{~UR9GGvA z_H)_S8_X?&)N)ZcXMMpW*gdfy`mOipD6&?^7*fJ?-dbzx1A=63;a$jjV>$gO>umN( zC!2&8LQyjg`y{A>eiuLn79eO-7~^W(-)N4V$8eG0rVN^(oK*D0B{)rSz)p|W5Bdbr zTcStFa=;L-jSxl5(PN$RcQ|-j!6?Wo@BJF!671zI8I`*K(7yP2t5Shb54AF9TUKM^f-@C08 zQ;7lvy6k5_hZYh79Tbg@E5;@!2+Iaul$kN{>DC#pRX}X`tRcjqDip|u7qzMsHI9cX z{jV$Su5U6CKe@tO8&373G0}MUyuL71pg#nXWGpaaN2S4<(lt8>&*I5=j~N{q<&+@T%@)MBO1owfsxaIRn0?A!<5 z+66;fBBSbgb!1#ZPN&>m;w}UWrJs7RKKOAmkH>xV3zJA(DTc;2&D=0zU;l9j&O2q2 z(H&@pP#B!qWl)~hpN`r(o|{?Hh&*EhKniiLtcuA;rhL2E$U!bZ_o;B z_^)E7FT=%7Hy=;G0eiQ@dIzta5XFO^#K1v4EI?f=o3f>_wGF6P!183WlJX2;)+nF# zk01C5XWARP&UuH017T>3Kc(lX;AjsFyO^Y*dTaD164$`6rRkkBM8--h$Df6^RU3pE3%|7tO4MWGeYxoW=1pkx`H|SxHFXN)ZmEUdrM~l(nwWhWkNa? zmET>8-=M=JnNzzIK`S6=-!r({fH7rK3}U4e9mn*G`txcu#!CadW?2q2o>=w#AL;^M z*CEwB%Fl^3p!cV@0;Dc<7*r3u2|$9%8+O+znq;@gwW^*~w}PIC*hw^x@(5dnD1n30 zu2c(@wY6MgBu9K{H`Jf}^Y#AH4o6xqtndco>AeG#jdbDsfp)nze@1{|Wj)G*dQQAN z9GCwWd}>BRm7e$qJ=fQ_aJ>QyP5U(5S)gtckq2$^6vvHfv*5-cz-Xr2)&yC zX!3^M4e-3s6>XrW29cf0_lITC&fTpd6?kwwn;#MVukCF~RF4ZhNbzsWFVUM7;U2!L zCx_@|K&J-1{|re~(}K+@HM^VFCfY2zih{?$Sb|&QZ?}xCfZx5PJ1_G6wJlq7W$#X{ z#kGpq>a$c?>+aKaKI-VJxq{eK)3pTu#{r;gg&$_kko2Fw|RgS`3{O8H6H4pn)?=w7YwGXB~SO{zFpk|ozHl=i^8G9kO*0gDk zXLzItvCFm@%PNn%G^2chs#s7dscmf3rN@~#LWau)y^o-F{t6|h$lM2;b=`CyW1t(k zzX22_(P9gEwRb0`vG(jnt0LjYohue$k$m@x5ja5;D>wQTM*!`Tz0QX8jtU(YK9T+S$nsqMQ(0hIihZYaV4P6*fBD_q%s>V9+45N5P(O?C`@i2Xw5!+_YI2W+3+RIV?Knq0 z7J|=gv@^;Jfu`V^K|}v*wOG70ey0k+mB`TuI@hZqP9}eM+$ujk!SY~?1kM}=@-5Rf zM$WlZ{c3MFF4cOT_PbZ@OC{#}1eCPG%Y>0H2XidPh${NuH5w3a(Mk3=9w7$XxTMOV?NP}E(M z9Ny^~hpWeo2WS?DX@A{krot!(N|}{LgDc@ zGQ8dVW^Mh=u5czsD-Ixs+;o38YcVGIx+yT;TBcJT)U`_fRN&WB62#$<3?7JPF;-D% z3WZ7ACy8%(u6Gw$$qS0L~B-RKd*Zq7T0 znkP0m^2L*GyF%H>!HN7C!S)^4Di>7anhFW^d|rbk?^#iSbN zzO=u%1orw%6#L7=dnwPoFn^rVx-LG->0W?b`Y2=Rit6Yat)C+W{b!N zfrjeoz10|)2pkbOr-j~|+|IK(1Dr<6;y9lyTFkZl{D0EJ*yt&kDk*4r5E2`ceYq{V zHDa0JD~`pw;rq$FtlM$z>gMNXsko_I)+CZ6Z;`O8;cY9Ah}ci7AvZW{?M0<+x7$GP zO;t5GRL9Aaf{g{G=DS8dr1+Ms&6#0_=}-{S;4@qr8YA^Ec6ws$38&FJPVoiu{Ubu+ z$IADOdWW1tIG%WkB7si_>>uD)|@gG!NgcX4{nqXTGyUQjxDA?`R1F*`#+}Ot@)!^G)>8r{oAnB zNQ4fNx3`zh-PC4Kz>!|E?3F}I*;Tg z{-9MdS(Q&RIMQ;}J0_(9z5N80`A;#kMH$qF^2)6cF4ows`v}rqS6FJUFq)Coo6y4P88yHx)28 zP7PexCMo2#a&S-=E2`fR+-V7TjW!RinOZ1yte|_X%NhKRD7y>t+mGSWpCexd{V3lH zDYY7sXU}>WQmg*G=s0%?P?pz__Ii|YybY%NK3o@$K#fQ={li6!&4;Z7AGPpQIg#d) z*@gHIKgS27!VpD7RoM3bz_o|sL)TJjBa9&XweD8*a@aKOKC(FkvJ z#YYTupnWN}WTY|&?X5SyXtN)OxPHy-Fz9vVcij8(yK^CYzSnulmK)>A#Kc5a$Kj_Q zxXBi20LctgosEtHc2vs zhvEF7cvf(*&Q*fdIOJ^5yUuW+>|8>D$#;ZVdhy;hgz?J$%#C{!i}C%8N(A1@JJJ9n zbREI=O&J@@J;Q~Tkf@`$X#MK(X@K@>bmGPcdSkM--z>iLtRJIIyJ4MlN>yf&#BdT3 zvA}35ZLyqwvY&RP4uGAvlkG?}Z=Meg)BZNYciMz9G)}EM{c$Zfp3FbE(!XD?L{PCO@d^AV;Qx46WRpuLr zaE&RM#~TS$VY!cTufn%S-|uy2@yfQh8dW~2Ye0|xm|7@e)s8CQ0bBsU3$522 zQ#)>*pDaek1ABgM&OaX%Gyq@5?HQYMGoWy;YXdw%Mn=X5IHG=zeP1HSx73JgrCK#) z@qQ#DHNN4A*6U|1)Vlz+C_#qoH(U!vOxYtvGM+MDwBYYepTF$31RY9r_YFcu$dE1Q zH}F=a4z>$jeYDTR1yfIT>>bYKQzYU=g?}`DRI@8qX`t@B9DfmbK>`2N5jcKLv!)h$ z!p0Vg!;BBE|K5~N=x?v@kOwyo%v<%j$x7b14+O_0g=%5^v`UAh&1s| zqy#9E>7y^wX?Ou|Id-785{GGtA>Ndju>PcMWnxI^?2Mdha_+ucrN1U^GAOt0BfRGf z{DVEZ#r|U@ZKcn=ammjbm1=8s!_%>cbU9;53(Rsdq|$z3j3~RQcBddIRzx+9JhdLo zmB#S2u(04vLkW|-j*1WxCk#t4Ac_{fwfVxquUgePOmt zssnq7aAc1r}x}^eA*^$wHQHb zYJgqv19{pCzz@MaFa0bhBX$1Q(^$iTg9L1#w$CAAngx?TKof`;>6@mWr$y&ZyMBJc zU>w{DY)nB+=#^kiZnA6M?g!94;T(4lH@+O`8&bI=0LwUe8y`aUWi_3*V_h?VP9rFicI~O$iY9~Y%>$eI$X{wBJ1d554f?4ZNMdq8+usj@*`FGw` zrTPhPts?v+?Yztk{w5Ih|2ZuP>9pz6!ZvtNkq)gV%%xtw%}qHdBW1kqEd{CZxw-F_ z6z!G`WJzC~TAhfTy6EX z;D}7Z=b_tg6+J1`ZX)+1uKOQW6>$otnyw0f{rB|I5IkB13*tap$5C3uA;m?f>ADj4{``gYB!Xc#F9vAtTLGF9SCcVorG%ydi}~`yCcK z`H^YqXB6BqGJe;KVWJ+^y6WX2tD@WXA5f(p-boXc56p2K?o0Q~Ss-TLqxlbByd3f4 zvz?;q<0JKYnEtxORuuf^;s;&;dZCiLJek<(m4a)P6%tq`VwYIp5N^_}n0QMmZ@! z>>Yy1l2;t~-!53^yN*$g#SwKiVUBF>)$6l18=5qaAVN$;kD7Nr4ShuMGZzzk;SwuX z%pzYejTekV$~P)eoYbhRm_Q2nHCLY?^!>}2!;&M!i0FX%2=#tS^jwL zf-b$sA`%rK_nq_$QKq+p^cVHkQdV?r#blxMn(?P_fDfb4dzDMitg}=AQz~@(r-0tT0(k{I3ygR2{K92~WCW zTElfo;Z_jv-zsT!eP6Z0>HU+Z{_X|$e?boOQ@k^r!bA?C)GUXe^{1S?Fy!;>~i5Hs&g^C-!rK+ z&(Z|7^9?ebEFUKNb7kc)>RyGQ9x0*K z0HH4b$+j211lhC$wD3-a9m9Hqe@jb`K->y1e{^ZFmO`#sJJTEF#K#>8Xe5ge)648b zfLVy=P_QW$$Vn7GN6&#S<~}Pr)-S`NBsD}+PP4Ev27Q?`X@2NIh zk}jC^CpMl^&H`&deLobh&ptl??)>46@v=t={?w&WOZ8*@Ec{LS^(S?qEwo&2#YUI#43RJVDqv00&UxzkQ{!2lx}zUn_> zkWJY%&Aem+cUy%=l6 zx6hhW6pBD^-vEqb1HixyN(&P*^B&#uj~Qblx*33mL}DKGa(ut__UKIV!%()n%^8{v z-n2fLWg?`+ZW2M)knf7D^KwWaUbo`~Re29{kEETU!<~PMaf!pDviZB>qG-#ejmbe# z%&`UIht{vO+LITMAj(o5Erjhn2K-4HI`%&Aop&pkC*w(V)r+?^@Tn;LeGFCX4vN!H z;~jlvFb28(3=8i@(cXEG%((_;4MEjp3xk_#drm~mEFIMkgFhlYf^~t(eY8cqE_YK(Vc4RX} znH)QwzTilQk5OZjlBsRHpNZ%n!ce=YJwN_^a$cJq)@3S_if)bbfw4h><|rO*jr z333+#&-Q8uR!kB6ncb$%(pFJFk6|vH506Z~Z3kCWSF=4Cci?*f+h_cB5F$&CE{-%99EX#UllP!JFj{(J6cHx4 zqqiF*mf|icte3 zswo53d1FhT9Xb%tPcP5z8E;Krmty1D z!ox&Z`h~rY-vy)hJdiyYWR-FYDGw)8=r~sqP}!n6noKOBs}SAxe&N*E*Q$v|6;%>& z|HZOGO}D}fHMQu2k4TH~8Baf?jUKO_U@9}Nj*=^xrtB%K3~9^6VKdfxh@efXqF_>* zl%nlVaO34PCy z@7CFmp`JIC-!)h4Wi?C8#9w(t`H7^v7=G~Hd`-fNrP8y13qn##0y!w1*^YjTS%fIx4` zy|*EL^NSHdb*1}^N0Ov}7Y*<5UEfVLeKG*y!cLH6qvfi`2dX@yyok${bBVxHF-|0a z4STI&F;uR${3>`w&*bJz=)>r@F|oDb9h9HCEH(F*Hv<9#u^N(Cr<)r{%$Yo{;zul^kwbc6) znFz+OexG}aA~+s3S~2C&U_SaojCTToW+JtVg4Xg}V)N#z*WrYy@lA{+GL<;5w z!qU0=QU@*b9|p|X7r$B2iVK^zm5Fy7Gvk5vc3TmcK+DYX@q7}s`*#WP;D~NlE{cP@ zf*v*pu`xX#jvCj>zfafCQo9;RJzqP%;F0(nS2wn``FMDQZ>p$UePkDX@_kudT|H`C zk*UWxL%B8oIk1#SpM`2jk3%Nn9gYsJ;evrS(;-BZeXdv^=p2^l)0=$t3^&KZ#Hf?| zB$KI-mc{k5!}I+0W=nBqm4cwicOC*IVRp+WKCGTnt@!>nWc{;+;{JxDs?8XG*F>tK z?YkUu%fH(h1|1EmX}VYoYn^aE_lkNaUal*X9pfNATH`c!w(sMysy4hC$-`D;Y*epr zIe3Z92Xnynd^sIeI+t{1N{^+*=7bTWIy%1Prj~5_DmT>MT+qYnEU7{ z{$K+&@cH!JsDfL)VKq1!>`934{I|n)k(S-0vh!%buQuh zMa^Sb=yq@9Drj!!;5*mW%y6WET$qa;j~@CBBDBJsqb&L<9ceSo5}$@A<4k~Z#%__4 zWeBxP0uDB?PLRrk?XRaFLUr?W(pb_R zHg}O=vkk>Ezp{k~bO|EShH`ev6=QYi z$3r>O2eRkkgzuD$1eNTkwXZ+N@rKg%9K85;I96I=$u<55jzblmH1XWj3{JiZIq7qT zgc4o>ldo?bnx=e$+%+GeRi=zERT*>(XFh|A6kM|!jDI!Xbo7rxDNo6)xPJ)F5XOEz z?GiL6(Q%orjL*Gi1nf{sEkx0paFSOk^tcj>p$&p_^Ydv6;&PNC0&!{?{c-&k$6FEA zU9uI`H@d>sW2x<=WYsp3QM~N`KcXxMpBi$gN z5K!SACb zaatD!w6+lniv&`Il>D~Hkw;%1RN%m->4V`-;5+Lga>Gwjaa{rVng3^^rW` z6B~4D>KYor@FTe9RjSSk+2!ISNUZ(PAnt$XCRTU?D$B=q0ZJ$6$)(eVHg%u9V-{nDrRrFMrX<@ z1R=pMf{4H`cv;$%A3I_QLd88UT)%WwxsJZQa=s-ktyq4f;hy|tC1qfanKDR*0Cly< zLK=SUm}2^8g)4Ys!--Uo`3Vt5@c2iw^MIi^ua2c!n=Re8ZS~~(;A#2|lk{yU>CWcb zrfApji$2n7YT-R<@qoM=%?d-K|9H6bRn3j@75Dm_(a6jl*1mtNlYvi%-HPfs8{(mC zkec*v#7i(EB*-y1*}dXHQN5sS`@1DZ-~G%@1B;%#t&Uma;jmku+TGg4r-zKdmQ0o^ zPX!I_CR0E0$@Bb3t?rpueAmCvkib@(YxjEL zj+&@ot`&#BzPZ&qN$^fv8}NTQa0A`68jZK%p*>tPlBcyas9G8!IA4oeABS#d#ODKa zDwNeH)0s>5nIdt&h!F)!6-6KbZL@qgbak-9cu_~9d;*mHG5$eOT{Ck3xE@K6rA zA8J2EurRg7B|U|^So!%AVH&3c_lCXl=R=Ba(#ea3*Z@kOU8h0vlNU}O55@g)g9)HF z34@c@E!&x^0Z!GdxTZ|F7248H}kf~g9cl3tn+PU(_@_Q(8kD5xwT==18xbG%t1)xR2Vg`A*G;EP+hbI+jQLc(plPG-Zr*_LrVhyoX^j7p2NewYC?a~0mfqoC0>=n>VeqJ3+ZGGA z5V`JB#j92J?&-QmoD%zA^M@1FRy!!;+6CrboAE3+GUP|ehGU2J*yaL5(YPRPlaM>{ z#cSH(zSxq=xdW5l3T33p-K@Ujvz)_cLsiC1a|oi7^lVP-5vL~OM~-3b9h%fh>ObM| zX#irO)_1{S1amqlON?I2E4zfl&gxy0<&S=H6M9uuX?Gmf+G^G(ztIZ*TZ45k zpnIImVu~zCI?Qd$D!kwyt&*QP`E!8;xY9^5NzTIurOb+=S+m*c?0U!w>3UO-tmXQ& zp`H(IVg$Wjf&@52P?-(_({>|S=kaRPV>jHML#ID3oxcESXk0=~X?j{B z5SOT+guCBYl7!2jZh8+lN!d@*b}}MreD7cRtOY}!APF}~jLKfj&KdexCk15H7JwtR zUQ}$+b!)UONDJ3An#OASP2LZ|e~?~8kc7%2QAtmB)mn8r&xQMxV1MExe>p$Fd-U8F zS$x@DW=e)=i^ng!+{vZUwzEx?pU6i}Te&OyR|~uFoleqPd&oC}WV0sVl#c8#KIeG5 zXIMJ3e|=9Yzn`t51r+TZ! zAU>Em?1>fq9zB!7T5!*>#K7;}-2q-+@~fmDPM@#VpD32EWZgyMw{QNH(K3|+l7&2d z->M1O%?2LIwS1_twFuc1r@%XtAB;W^R9~}*Z#0G7}(j*WI9^cSLv*CgloIm8!bmJnBTkP{$<6}oFT(dI-Hlt*B zY{FIa5tV6%H2)k-k7H>ntiI~;e+Bi~1M7c!KhAT~w})rvU*GIbUDJT{f- z%n5qv*Zf1}o2{p{h{G?n>9s;)2e;O`e8FnYF*AWpC@~@w5z$8pH?jR9 zSr$*ed1IkmMr~eGJxWQ7jcDI8^~-R50xfoF;mfW#s7;Fw9Lu}3O$#C-MT8d)ttlQe z(d`ltkiJ&?zTcb7iWxSM?(iz%$IDn@+Eb~aS8tjbCl!52JSUsrqpke%Z3;1zx4>3@ z@)g`Z-k#{eE{ASVhHR-ulP-YW0KXt7p?$%q#Th8`(x0MR(oCrzXZ5lL?r*Lebsw>3(@BdZvTvDkae{YHDak2HlN`jrx(2vES*wsFQy~a zE;Iu{+2MPfK6LTuvaaqGo|CF-#y4-7uq1Ll+4&)h3exln_Jgw8mmMTBaSB>*n82Dh z#wpCe_%G%YE$oM!Ry=K&Xs>n6(h*P?kEA2vTiGy(%V6PkjiS>0m7l-lDKj%p^a-qi z28Cb0(po*z-Gux_sX=&kB$Kx01#6oKo?r0p`AmO@IgW{UYY&AKJm7?6q!40PZ>|)Q z6~_pY85K4@(MuDEAGbUF#!uJu<5OG|tek;NVUmD07KR&03W)vcTFo6?95wU^eBAP) z^%3}g``iD`(74!#s5mCva~2akxm-tk-6A2EkZY)C_c_)4JCgNp=nN>PR36~FVk3^7 zR#Fa0Bhskqo$W`NXCuRo9LfSoUWmI!hqRtKbuvnX&S`COWiO$E1{{)$N`1In>fy*7``4afs+0$tn_zm?%Ed&5H3sfq4FB25&QXiz zZ{J?$tD?1_caQzi6ixmu$**i2<9@@`MZS`MW20B@(45)QZNk*!y&W&u++H+XD~E5t zX*0=x9kL_y_!dj;GKo)G%xotIzjs>kzn@BECs;B5O?^rvYg7VgCV1xKPC^5y(K1md z`~v9AhTDu9|5;>W_t~Ig4-n*GsiCXB$V3wnrV(GL;ppA{&N<2ZjBb|YAQ^+R@rV=o z78ZVf^WG?Fhe@JSRbigR6fakM@B7_7;_sy1W*{?L+Uk}g&Lt4K9^Z*bnOpQ!yiVQB z(Or<+Gc}|G!}Se>GFqu$3H_P#R}Fu!mfOLoBvwP5&U=gBSy&|&D z*3`rMjzYd$Dm*VCq!ey3c3s8d+l(UoGJ!=5v_A;BoYrXF$a2WS;$6JI_;e*~7N_8( zaYaNE$jDq4bLm`k z`HKfJnxgn9F*ID-b`SNYA@V5gy>1|?_Xz87W0fd1{cm90{I!|f68teSEuDV=cKT+( z9_1IOv`_y!<$&HD2qJ(K#wb`JJg3tK({|Afh*EFE>+!l=ZKB8?-X~7q1abDy1$UNA z5&y@2>KJS`$*g0&?7Lf5Vu~e)(Y_D(k?lWavttcqYAsFEek#o3a94H=Pw3K&?xTcq z{i3QotRy#GoX|(3Zvp0!^7dBCFI;BhO%W!Q`?Uc%);ErRHP)Mqg4&c6!0vu;DJ|t2W8$hO!F&zUj^vs8cD`NIFVQmvmO6QyjVObxG)+2^Zy9V? z5af|gsn${I{Mv?aW!^41M!t*Vd`iur{v6Vvmgg{pf4f`@D`qptoHfZyB-OPm9f^{r z{LZb=^&y&`g+6xh(gqEamm;F1dtE32Pnu`#r-~qA8ytJ#p(wiSi#D*B*T{s>%P#q1 z*~n*Ur}z!@Y*hM!WNH0spP>6^_+qwLe{mjv_wC%-C_y9j$cmrG`gTBVNnw;fLtY#{ zT%cG1)n@^*aUZh6!43oD$Dw_!nPaUexVGR}F=6G(M=lvD!Mon!jPMrZaNA-&AdPMw z+(xgFHFR6EWVWPWAbB@&M%7RFr(Qjxbi|+ZXcMI+>K4fo(atFfER$bmw>3(pP$q7T zn}Z7W&3QjDn#AE#(^Dz8J&UH-&tz3s+$D;9`?t}AO<^?BboUz+{yiKjo|}6k?}>KA zOKT)gH{uQkU{I53hjw8N=)^1ni!Jy5o7Y($T`FJQQp$(Ix9BtoW%@U{xL$O2x-2(w zB36+ZLhC-Zl00M@3EZ+X4xU-nv7weu)zbW$!SFgL40*r3Px5I&p*}%q4;OLcC$!#n zpM79BKVAE}e*J}f*9U-00i6tQA~3q`NU6I%!;8?^g%r$aQEE)ZQaWrS5b9`4ZpPvu zN8Pxq#{Om_?ofSOQ7TF3M3{~s!Jdipz9Eb?#zqg0vjhb`nH9V7>Kcy8jiSSiXHy9y zM`{C&UO2a#s0$N+ol^Zl3~A=Ympe;LAz@jKYScxt+ZQ(hU4E>|ic5dgI~jlr1}sq~ zifEXYdfEgkFKZpq#c1Qm0{o@hy&$R~PH>Y57{P;?&Igy5?)c+z+`W(A@dS3PxZtwy zobpYs+=yZf!KQJ1cMB78lU_AO>n5t6+2mfX;F`n#HHBzn$O|5sgU}nhCc+M`{#B*N zzEcUMGX|KEfPnkK2V}3TftT^*`?+eH{v%kYddW=3z#B7Uvs_@#>{-lq1in~9$40#( z^>2i&i9Lm}(&R!xFmfG(pFUVDl>sBApm3nN_lw57W|#c;Z`?>1-i(E90vQ&1mn_ zwN#t_f;EPHk3<}Ix*{<0ZA70dy>U$WP(zNPDNic&F>(@vzq(1T`5yCH*O2v2fc^^?0=lzHT=Ldi=#z z#wIVhxEFDWnp=+wa6O{7$7zxpeP6nv(-(zh{nNuABb z3y^uMDvgVXtIZ<9MK^Fnd|a?Z9qiI+KbNO_sGJtoM-0zJ# zw{l#dgbz%0Aebu>Qv%>e_V)IKu`+}>`BQt30qeq%S&$kwQ>*EIJmi)(4}bqhP<_A+^lZ=p^)NIqk#w} zRacp zw{A!%Iz>ITDPfbw`)hq{@x-g6Lcz$3u&5771875fewj3n5V4tz(8_77hy3qm9#A`_ z#J_=7c8J@AGFV%JVJD02mqhESs_#qOVwNVoqArOZW!j(~YsjB1No6$Jf6BaO3o$aM zPqt{vnzEW3G~=K@zugichg?h+VNP1`WUE%R>Bp-iL$6HdjKzfZFhmT}acB?qjz%EV zd^$)Ea`vw!_!`!wyU6onbW3anx`8mb4a*V?QKC&4FuyQPMt4jTD!iq7`DMg2iXeH@ zsnW=OnHX^NKsw?7=AXA7uhpV((d(mTpY{vY-e0WSqS2Qx29q0_D;!y3hw!xtxMH6fw@*LB z?D2i!AdVgR)a8D(2!#emgw}}2er(wkYX0FjTWN%YW>DI#@)zAH`rtLz7j~>3!`1WZ z_79Y$7?X!siG?5@>n8?^_2BV2Q$kS?iL zqB;YOz0phgI66(TQ6DbJd_4tD((TSqPKYrhfEpwe@h_BXL&R8P=SU+5+%Kwb4+=lE z%)2(@Lrq%28igd;bIqGYD4=R^&^WjrvTp4pvEv$R%8>%YEVqt>QZ{pBpVyo19as;^ zNtdz$=PN|nkoV$#7JU~=iO^R5VaVy~^^{OwxDBrodGTT4w$}wKlN1m`doEL3b~z`3jJcFFx(2-iy3-& zYQHbR^&W>5Q&0GXf6Fnp)lY2(dS=w0xLyTSAKXN)!zEjk!b_%1t_()%*A2DLmiya^ z@+{lRR4J0uRf-NtNE6C{J@-)7ze*flv8$*k?%Dwmr=zh3u63`T<}*+kdCI%xs0w@K zzKA7uMA^4J;+%GP^s=VpE|chZYS(2qr1?!;gJ5K!Eg#Ko1{25j;b*7>ZDm_Q*&7e$ zcL*#_8HjJu-HbhYQ)DUhTBYfhe-u2R3hQfA!Io-QN*lgi%&xQ?c!z?FiH;E{ke<#u z*b0ALqoX_k)gXkvx8OOZvO(J)lx3GHG;|d8nT<+}j)|HIDlc(M;4fJQh9Ja&ThXn> zon?x2Zdu>JONTW`dRk}HYbm0vzqo`L&4~hEl#*KFK(MPx||AwGs1%Dm`5h-!eZr)BIcS(Jj7xuGwMsL-(t-C&a|0^MmO!@y{{k88ltWp<14R6RhNoN+|IN|wwE-C#bY)_ZS5TpF( zkYR2A_0~WM=|n@Ql3t^x-ss)XAa(Z&nT-H+u9*y-OcorR#*bg+{=}0ga3e;HYWOb= zGr~$jc2kBvNAC}>u9Dm0aN%0`8-G&RLq)1@|2H4$k05omU%+Ay@ui}aiO{GJry?)i zRj1Ps-C^Fk#99ZOGTeG?s^c-pA~#&riTrmYNOuT0?C8&RUw6$jW<-6AMVZlY91LfR z-pzIxQ;^=}3MBx^<6LY|$sQ>PinxN|lP8OW((0M&S$DnzzoqA->ZePdzgHh2Hws&J z%T6;<9NzwyBnQ7D8XEt>S|+lnA#@+onz*-OLJIwl|KZQB@1uSTNNlCtd*f3VmiY7T z>9Z`+yTq=I!XeVdum#&B-smgSMSU&wgc9I~UN~~692GF|VIp{pttMi&)sQr`ZQ#9x z1;!PZP+@Tpce2}k77~+6QT4)}_ zjQsB^vps?QR$KqWkr`B>Z{;7k3x2BCEc9YNUCgQFNB$9XTq9gJ7SOo-eEL%j>|TC* zt`k|79?l`Re-_`57r3ErfJ_lr1-vyhGO-Mjw9~c?3+Ne<+Y7^u)vD1>!<#?H*?gNk z2YYHLwNa}Gr~p#%y=Lfnzgf{x78pw4Rhhb9ApW9xc{9=i_mNDSY~@xYw?rpgCs9>< zd47oPrx#MrK(!nBU66Oc5ynqmQ3DVjcbK*7^>!`MVk@r3oR=Y#X%u<*2oj(-X9+2c zv4B&ae&4BiAB`F_C)X{X^ZD<_ZA>6W5^kSxoc2)-qe9RZGMO1dotir?A+r& zKQzKlmv<-nK#EYbxa?XwGXv-X&y_g_RspNy>4Tv`#c+kTzErXUyAj;RImf3F7u$;Ux^_q4tfm%38TLX6*N z4~gn(b}XzwYb}=g3+n}q(0>S0ygl>Z%stwoO5U8RahNlinPb$GS{^zbO^}`)R1{i; zZV&OYHe+I4=4bb*LS!(!G>AtN3O+hIx^XJ8eE1OycRu}!6Lnv2%|wt?39Z7cbdo?u6t||A`+LeFcQG}O~&sCusKP7 z=tuPAp#Bg0uJfo*LtA)zI;erBcydxN~Qycy%dusO?LVgZ5#8T$3DRwuRfXmvV)M zS{=d?qrcd=-GCkWMX|bQ{m2-_@JRQgbx_c)j%}T&h^V4uIp1vNu2H{tlxR zFp^TtkkM+!$@%#(n~%99g(>H`1Lf+dhu?2_z8z&LBt#Df6PTPD12Kf8xVyBMt@m8! z2DJ=(d-NAM`u=Mf8X7}v@tI|g4!v;!E|g)zng!hExjoRZGs`dH5=@%TiLtW;)_sHY zUn`OK3p;445vFl*Nd5@+60=^O!dqnOl~n017vzO8ZHInb zuqE=N_Ui<-^(8~PEN&moVG^m^n3KYcC`-1Nisho@Si{>hCetJzu_F67olxKH{XoxK zN425N9J&+0urbHs?Y*nD`Nhvrxu`#$dpW^+Fv%t6W3CNc!r0ehpUz-xPRl6NWZjdZ zr0+rd{EDKED$%*~0sY9b?Mg(*@H?gHQ{JJXih?z@8TM^p-vyyPc~Y-8Eur9^5&0pL z2G_PoAC70{zw!~LkEu%|f@-=5I^IF*DXG^3EIjPLqBs!?qKG6HT88%!xC_I#*C>5k zh>j@!oxrJ=bmt<*b+;p3jHPjHH>X{4tM@Hj{Q;Z$#dNk8{^H5@WY}+2oie$?c0^2? ziT8h+H|^#BWFTDcX@0Nnl5T8{$b7^$cqT+61 zx;?Zk##~;8(+`@?(U=)$Xna>gOiU!zXka?FEDDJAqoN2hnsUSn%^DBcTATy|`xZdep6Z>Ud!Wq8OCKa}42 zBQb8KV%G=IENvnUDPWq7IfGza&%!3#TgOwiudP*micQhXL+XCTn=%DwuC+Iu_!)0v~F>F)TB2E zw?|u@+rSF7xcV>IF%V*LA+lF_6wk(5_U6|ErDcwXM*6vHTK#v#2Jua!p7r(RX4po6gQHD8cBQTA>(GGKjRg zs={B%K;}D8`mvtDM!4(#@3%4vSdZ=lM}Iw9uUXm6iaDr% zv?qF${I}mv59d=rVeC}``6inO3%~a-_S9ch(3|PkUD*qO{8r0KiD5m^U)u+kf{X>8 zNg`?8h5Bws;$ZHg`L0}@N0&a7!{A5?YNCH0(|?JZh?S!0bafD-^bnyU{Wua|pjxrK zn#cJI@omV|`{(EgI|fckZN&$@~Bd=-MT0BD6YmYvguHKQKv^YaW2) zHF*53*n^GyY*>Re%Frrlw zG#>$)s!J4t@K#vx--upC07{V%h(3`*%9Hy-xx-@+(47?EXZ#9<~ig zt7%B$bgeb3eL6s2GM;T3&K!I3n#K2BL&b(hpI{u**RHOK2eJ!<&x4h(-bNU9cy+X@ zn=$Fc_uot-JW%Ukf!08=8S(?weL&-x4M~*TtwtuhT)2G5P3-dr?PkP#yIT->?fC&o!Uw&5fI z*3UJ7k^Noa+p~OCxf&ZQGYG$eft35hRG5 z6!ujEmzUh)0X=Yny)@?Y#0C#CBomPz;VcW-leTJD#C@-nhr`{XvIt59^&Dy&1Gv3N zyM(CwCuPfAN0~BfUhGlBnecG9sg%wH@r2i#zOb}=#Y@$cTvV=6tiHUw+$eUP+^B6Q z;a56?UyT3Em#r)xri*Tqu&75%JIdomZHcZfrHYoD6v=XMNLk{LL?P zkh&1AK?PcVu2Zvc>ff_IjE$~Xzb5Bh-8-)9(>s&Be`j@RWZi>#^X*O_kmL5_VC3j? z7V%U4!3+pCIM^myHVP@)O&y)6v#K+qRz$^Zl+w^W38M06NX|_s@a{)MZ7i{HQ`3tm1j%?@a{V7M@ zZg79Ee`imFSb9OQxfW?1+=KtPouywV02&U;8qa6-i{yvgQ{25z^)aR8^~Lvqr1;)& zauDM5af%))0w2}eX0L%J=?!C<=nSwoo~6A6mLLE{Prlb z#bXD}K$_3jH@95IiA#4QXU=<#I~dSkqZ6qB0u@qwB)=;fl|vk$@QWZToa6Xpo&;U= zgPzpPUSZ&0FbVG^c!^hXR8&eDT?4$l_hw z!^YNL$kCc?0j^J!sMjg&x5|u^#pZ8ftQ&Xf-o;HYboq>HM?Yhh?k_?AfrV|Ge%;&w zsd*Ajh^AGoA!epH8Mk;e*c}g4x>XgDUrP(m3SZPkt5be zuxU968v3mKrW6$!BuI zXRs1GaNGEv=r>a_;wcM4g+oh?vUy3?+uG_>pmcqxde3C>Kozcg_#0+FLVeQ9ck;6o z+1h&aPTA1Jp$+^#!e;=&psDzZD^%z}((C!j!1i3?!FAXjbjH6%!qzn~0O3-rfI%g3 zU|+Xm-y1s>5R*|R3=Y1x`DgFM@P`&<6;Uck3xllO-=Y||kDHly4M9&gaaLV=X~Yuk zVA%n+*ev#Zt!({|=*S{U?-p}F5 z4kDqx$z0T*WlRV7MY zx;MX^O4S&WKn;%S(u)EG=rryG$iEA}G! zCH^m!_Jx22Jag=nDYftwJrKuUluZg=GTfr{m(rKh2ueJcl%(x=1qGJ$7ppq!f6zUD zKTIQ!sMsBPM2zMeQ&l@-NSZY7|ePt@=!8jh9C`;OL2)LaMk z>sE`0Fd36i*bQAh>)3L&_g{73M|T$XL{EC>cQHcpUNr?VXPz{)? z@KeF zl)#ElYjt%M*krQm0kt$0hNCM`I0g8|r%`gHGk&0c_CdH1`~`hrqiX*NglM~f=ch-Z z1iLnJTngU_9wMSxf=t>3K{h&S>&31%E*vLT7 zyXmC=N-X`}RF<;fIzvR?A=mJ~TQB?Ox)EyCrI<6#w8j{veJr$Ex%htWGY_L6XkZ87 zNLjXagTibLH$?B7_nCjL07hZ8$r-erZ-WoMJ%nXGesu+Mb%`|MvaN_UVES?C3~|BZ z|4_@Oic%PCF~S8(0SPzQ2$HQ@6y#7R-zHTnyjER!1t)-ngeuM*!<0g#%W#(~uf4Lg z{+fnGCVuZfw8ZlX1}sZLQCGKcIA{io@rr8F>zxQYo30Hz%6qH9(EJ?#<8ec) z@M3|hKr4dfD6Qd*kO860|65{B-C>tYGmsi|O!bXg=#R2o8Wa$B;N9%lK;p*o$Cnmw z%_+~>;^y+)JHG{Os7;>RqJT`nM{deKH5Unv@;?;eL{qoN*gg!f*}%{GRm?Rl^3bSC zKaGmtvTX6cG|&>+1F`+;mv3o4PAFMtom0R38#}EIHaOGiV5Q>BdDrlZkYQnuCn&w9 zvElsIKyUg5{eP`yai%4tbhLMGEsyKH0%GrMgzHx z-wvLxu5&lUTsb&J_YlB%6M8MP1M~(xktgluv`KiXi#<&iL8R$-=3#{9SbqqPgVt`gFpZHN0sz)u^?^IDt-35J-^Z3>VZ;9=%+N#fydG{F5X{eAg(7BFNwPMfN^_R^X z?Q~))szuKZWDw2xlQ|QjJ1DhL#>I1-qLyhLUkQopb5Ot1Mf-{q6!2MAxGv9SoEL?b zRXU=wwsM2<4Q(8+#H|GM>91$cwhXk#vYV13a$6K~v2sYFZ*A75#!RrU%!fPhb=LuG zk-I)b5_bhYi%pfTKXUdwxEvVPt#VE()_*hJ2F$J7=mhbP)JsZUX{wBYcNKv?;32nb z^Y1b5B^4f3#3uq907qsZVFD^`UJ2l;DD{3qxZepE zf#s!09uN*kTD7d4T*sG)ATGZT%{5ugS92^9WD7~v+BY|=qRS{%cn~$TN%)wTbd*j*eV64v?O<3vi&+Uacg*d7}6W^-5+e+Vw|0e6O$Ek@)+t6XFwRm^7cHeAal%h|X{nodWOzz7KsTbR8 zb>0EfGAGNP10-(P+#K^4LazkeU1EuizyBMB6riN-e*=~r8+w5^+|^O>=a+vf&o(-P zs};2lrZ)O#1ChMtR(2fJAHht3gSsVE;XE-n?~856 z>%;voYjUP^d1-ibW4L~e^P4dYsIJu(k=XtwTK^TXh^c8f_CjTXOLW;Ij`?A1KuDRP~yhx|0icX3M>A9SVGqZLi6lvOe}eVQ*2d#76eVGx;&-CIYIy z46Ls0cUM}h!D15#mmZ+eN|`w;9()1E9!(WN`=AZXlz~oJALOYrM_-Mtze$j2Z@j>j zHh_%zdQXj%G6Y157>=O--nxRTE+P5Nt;Z#_-p1}*UqpiYBAx6 zc@B7=o=X+0v!$yKMw!xVQ>e(V8E^p&BEnD_ztPM1ziO-quFU(?${^-Ie(FRpYy8GX zq}0*YG>9>bo@v2V;YqNl7NC~JL4R7Y;Y*rnQ~W$v#qlPs>uCF1LNls%praoWPS=T5 z;8?7z7y(3@HluymXz9p(D4|6wI2Lcu;Qdx1I39#Tg9z&Vt@Mo3^fF{v0utk9g%R$! zDsq}$CO}xaT-&CTH6xPGiA#KOkN&U7gjY3$el>q(UK>@ z`6j$|`EZHqwNzzzqKbQzuA;0%SzTRSz?s642?nr>pLI(_-4>;+$JJ4O#9liD;Rw?8 zNAfYKXIZ9{1uloJ9$P6xHDMnD0E|O8lDhY)VQAGtpe2(64#0D=ups;3I;mu!#)Yu! zooNsPrI$}h__28@Tb0?!e5q_qlbwsYC}xWry=Al|k4@u2f~0c3@HUx{|UH?;^4 ztIu$frBK&6Dx?2qE0#0p3ADIlSv?@K47kDYS6_~Up^4-D5T%dP3MPMKKm04NJ;F^UhS?ry_o+?) zji@M)jYPrK$~Z<4ZMfzCP;(QwR}7_ykB9=#3u6DiYF0w@P-xMI26OVZ@QgMmz7*o{ zY#WOGn+T1Uw4V@6>ecBG<*4@pTEt#GcnIVIOE?_?wjEIv%8__ujE0+`bZ_CGkwo1! zAHA)W;5;WUuMy1exq^;;?U7kHvKTn+0fQl#OlK~Li^T_%c!z$`HTD!myYOvE{~*>R z=;0uTa^nN|M3tKm!BD7|YYTeLuYaFSs(9LlZzS783>)A#z$|@o<>< z4ZW3HNCV7pzzJz;qN8VBka~QJWS1dh6_Oc(E9w<8RDqypw|T$Raa!i?$Zxe!EHfYq z_P|9bPp1imuG`l@NHL?0>L74NB@0{=w3sS%q*-k+%6B95vHmPj?1< zDA9-CHu(^Rj4&0-g33{O{ z%pBd4K1Q4iCQEu#r?QlUbtNtpSYdmZFDn#r0^lED`|rH29t_|OJsFVjKnjdsh5v})re(`%TaNdDyJCLM0Y z&HM*s=#O2V$J$k@4Zlys6L79%%xGumla7j=N#M`F+C3tSPUxAJXjTask8gXSxgLa+ z8*=b^hd$a$GbU_rdPY-0ELJrJj^wio_S|HF1h-JF0gut1J3kQHo@v`PXANoV1 z`%Skd+0k`UPewlYBatOaMPY;@&aP*nOQMZI1hG#6*U{5#9I@Y1nIzN^jXByye) z!rKpUK`#kuzB`oZd^2z1&Fo|Nn-KNUmZ&O!7#vBFp2h-iIk)m*L-#IE!_PM~Ls>LW zr;!ffzE9zOAO8A~U(Ul?S6`IR)crLPDVzci7^`n{2SR(Ndgcx~)nZSyQ|h|+>9@83 zCUwGC{(0b+t@Q59PQ8=yob$}nt_nK;A z>3Kj9xSD$LLQyQ0?w3?n1^xtTL?WsYdxFhpzAG>a3MYUKh@YHWYZ$~$Aouw1-)^TF ztM!W``r4<2Z=l-{oB*11gY1zlkO>IA%Ju6)R^m{qdDG~pMv?ylRb%~TND!2qlv=f* z(XjaVIFU(NdYmzY8qF3H~_SAjg*!C=D`ki?;j{ zuC3K!V+Z3CL|t`GFJjuabn{c`q5$QX&0C1NoX3gH1LM!i2BsM{w>#}TDi(4*rC$Um zjS^nZ@8xCr6hwhT@q6oMd!B4S#ORSv*_jYrN2E%4;l0I6*4Vny*h{RiUH$VoW6W|O z3V7{a?ccWKFZ{D2WVr|naW4DDabtd$@|OJFi$c@U5VZ`R@4VUg>lN>oMnACq8JUEr z$}Er0O_aQS`o4Ywj@mtUH9aEi|78(viKo`fRW*!MrMg)abTjzz0$KA%uh&-=yXW(; zJx|VHMEU&CGQ4o|wq>O}SD+0p9SN_WM0C7si2pAY>qg^-2Sy}*xg$N6(qpU|(Z31g z$+e@)5HE~H;TsvB)73|{$fhrFPH|Ujme!nrX-57c#;jE_&-TE_bZi43$;%SRH-UjP zd90rZ=&?gb8?@NGoCjW`1_3+w2+gkWEqU`PeTZX_B*-lkeF8gBt1stLM(sU4J)NCs zXMFEuR%VH+9)dha*5mzM^)P7_QUJ-+*c2))MwTYP^@2>UA|X$ci-;7{2hx9+uga2} zYe(|{D}36Q6Bp^Jp^-~r1U(EK>59PJ0HP3tcmton{mv64b9pSn(jFzdSEAT zJJ0f!9W@}TP4RM9Ydh`0O_4_N^uyfM^txO(CEEq#4^vYpA$quN+gH%sJJGJi1~NFsRjV|IzCEA!AcX&nOrL1tA;GdJah{@ui@>-#Mrq#LHG@rtv$4 zP6b@GY=jN@ETnWEeF%}JYwGj#8 zFrU#{DEnEy^?$82?5#PI+Hfp_s{v+O?#~OhWahx%23DGD{l*{P&uLPQ@0K-Gst8e= zXtz=NfBDaEN(Jl&9_X+v}-IN`Wc+WRXv>y2Ek0+UJWcAa)P8_t6Fe(7DLA0Bu zxpKqO92O$imrW;t$x6BoA!VqJ1!p3dmvRFes??pH9Z&SR3^h|fJkOBsy5FPpdFKy< zhN)8P(w0T%MIAQ4dpHJ-iNAzB_x|Q9mb>j;{iHwRd>VWv$=hpqI&4toD@a9mX=

    #J!w}Ya*>JJSzm|;iDkAH%&gT@5k9KZMA0=8qDBu7quJFJUD({8^D#>Ul%zG0F zlX1juByjkbb%LLaeZEFHlMxPG_tKA4(ZAD^mdM|N27Ah>p$Z~ssap~+DdAjR^vQ+d z|c>2vML~z!5hsh=H2m_SK5{2h^LqistV-6UGFRZ;hQOBu*mqEVZeYfj=uxCT-YK zSe{h=&xk5R5}0d_E|;&Aq`?auG%_h+^JSpC=X78F*T*A6PTH~p8iBQH7QjhA#7G2{ zna!s(og%g!aXl2r1N)pj=KhgT*c_Z2Rtx=3S^ihqSw=5vfV7LZ1|hLBK^#vxR?>)ia`waz+U-}%5==wcY)dFH-i@86D7*+u2| zfBL}~@a&xmRb{TWGN98h%w9^pVbL4mj<;<2Yc!BvuBbalJjdgPdLlb3(;@q*mN#!p zK;1;8oLs)v*o z26i_yXKXZPKYHw*2*7uM$A_wcbs>64@LqK3np%NM67}HM#uU0jK6FXhl^sw7B!8wU zNEagY!<18s4iT~e>1@kiBaS=v{P)tkuG!7=&#N%HBnduQtc%b>lhm(7?8Ur`lZjEc z5V=8R7-4CDY@($U1~F~iIu>hTTttIw*XmcSM!{p0 z)e8e8Ck)O%l#KMCyIM?tt~-y!^5SSjG<>8DUFqqT+pfi4;(^__I zNHiZq79(GzBSD1X?;0Y^P;ipERDzvPoQk3Q*o)>lg@?TYQuzp=`FB>pe+yRVmX?Zi z*I>L){wRAKq>Vj(VEF#G^n1QC4}fAU^>v-j)$`IxD>uS2^ORB~ z&w0%>iRfYb1NKS`c5f4};`Z?4Oq2R80K!l9_T19(FL2!yarNQ`(Uk1A~pFSoW_DU#i_e zL27W(0gt;)L)4AIS?0uj!EM6d0|`Pvs$2_rLGRdMCMzx;S-1r{`AB@g*#)@m0lK#> zPph;DV1-=MP7!yhtWz10KyQF94HI8kq3&C2h!&1tzb}zxFNU?=-|jqxlQDNbn~$7) z!<=14OB0Je5pXUXg|^QgjEdWw8_+GlM~{=Z1>#FiF)QhH>^H@}8WG8L-A;3VqzP13 zj7-{EuZ%9~Rb9^k`XQ7Wv=ZeNNX+^AH5~)@59E# zo%4@<=~u7CVGh5~&ANBlCt5H3;#(L;KSX2u^sN0txl!aapF!Xj9!2pF+FR9<*nTA| zMWa3+yR;#hkkIx|q(QL33CQAH4x)F^BS_w>vmfr+(?v$V>qthN`KUD+E6-3DS^Us+ zk1h~^%*n(Dvv;KU;B`?9tkuACqK6-(xqJGr;Xp|CexcMW?n+DfP;Z4m>g_`S%a2#vk?|M% za+LWt!cY9c7XpQiwTE7`X(F7sV1QQ8{2FQW11JHBQ6BZGF`2`(_R+TrDfg0PpOxU5 z_Fm>e_+K{W=~;_~`>8SY5V`Vq9c=C8Z$Q_mU9 zio-roO67NQJ@)XJ4#AsJ$M1Ib5OCWTUeHiR;slv=MeF{BGNLuam4w7e#Df(GIQ%(A zy2&U`EFMtj03360JnAxCxd-H!2otU4vi^*MT0sddh}Mfhc{UNnq3^|t)lPdV9$Yo2 z6+hzZ5b|VA&pP}T;D{-3f!t~CugB`)AQ}cDFY$q2>pBy~z{ft52DsRaMQH-#uRb`@ z3b&ynsO{%uY4MmIq_C67VHz=Fmmz( z^8z=7>gXE1lWw=6Hir}n+(924ZRCQ1@InAg3%?S{x=q|H-(3a93Ell(zNV`>*cv3M zky}|qDIGdDZp41l`=onEfuk`}9J!JvYuq9LUO7lB&mPzQiW?k$;1%n33eF?d&W?e* z+vPht+i*${O?WaxtUp8dD?y=^mQZ$Hfx;Z+mhkLLUb@#`>G-FeMY}}qx#CCtLYVsrho|q5*-o~ zgVwMuGZV~LEIWz)ZP`v{)}F1!w7^Vl)w(6$2CQ3xP7L?2aa6NA=DeUb4rP%ABqztRJci&#U-XR-#72llD4&IdY@Fj!=Q;d($7ff9gp7gA7F4yu<3=W1s1p-G?O zLT7gQ{ZQNwDHypXWn&f7x7jc9qaf*nI7QlNOHj;fp9>&TQO9KMSlU2m$ppf((m6K zrc@K2c7+~84*X)-Y+L4B-PAL$#I`MPOkv`fX3{Skb=oYW%F${U-ZXDF2I=2hsIuR7 zUd-g*f<3NlUO@WnWd7v)Uf;eR+NKvFZ&!rBS;qKfKmQWHlHqLDVU2E2^Y%A90lB!~$eB)MSuSI8SdhV!0mr*4aa%O0y;=$-o|b?UsS(|tww zb8(Se50`j6@A9UT0V>xG+*^?ViAiTUIijBWx+r1LHv0{RHPjcqA)-mWE#?D$#}`tV z)OGO-H)YV;X>z1UdH##UhDiGrVte!yWFe3MBb3zP(=lPzF2KxYC8cHm6`chRn2s5V ztkI_*VJ0lHDPl%V1dyP}yO0Mm3<>7ltl?4WX!7{T;pNi&X;V#ZrrkDC?oq32s!MC~ zB$w7}06a1O@u!oF@bOP$#*T`C6OgNA<^N(*9~QjNkBY20UE|X%dx0 zF~C)Fuws@U#~F+h{NjToF+TOKhRR`B?T-7CXDQ)eF0&ds=@ayJw|ua8S@jydeEQRq zqDUq^x$E+vsnN^qIv#3u-^0q!eDTDy!3zc-{sY1p@T7sgJAbl}s43z3-giQLIy%#??+%^|$xUyQcQ6+{AwHrj zYy~8G%4T@}C7+t8lyypHNNTclGMxbyOr&sX16Hk_c3I_P}KO6(8lB;vpbzhj^JCN}76B2Q^g z;t6|k?BQ#)?_1^5e&{~FGh{5IPhj=N%sVHs2#Bj8T@ufJzO)wHSI|b;A^ITx6zpht z;grYUJUlYgGd8O^>f$9zWK@4sUr`dv@GMl?bWd)Pz z7|Zmw+s?_Q7nBgczq=jfIT*FHsE+@RsAbKF^t;?H)u@U2vfby3{%_!nn2Rz7Bn@Uf zzm2LQawe75EGmzGE?uaCO4qigvGI-+qZa}X2@ZJlXQy1CVl2<2t;452eJC9!V|sZr zpU@>UJS)oJwJHwzClIku>T&rvOo(ojzssKi}%fJN; zP`fc51Fh@u6ze16-S8N)Sqymm?FyDGaZ*4R$Z%}zd^uZV&?N;}Ve7VW>pJ3iQ&HMGyxFx=2z5T$ zN@1r*N$BTENrZ#&=S)gMt-#?Y20^8D(q~sURKgaI4DnG(IQ}k~sGHB9jsEqX4c8Qr zFpyvJMm`{^lc|wDJXTm?Mq0izw6rz3d5{0rfygf*34M>2fY0Y3?rc+vaiA~X$+$%m zj;X}cl`kZ8vvRJoVYOSqYWT`8y{cwLt|&JTgIBZB>39B`_!7tnVb`{NI%gERkE)Mn z`qE8uOCRdv3VoQ6aL!9R02P84ue=Zu;odCwCI*u!iuW;S-W-2%!F&sdsn8bxocP>N z3rBwTTuKx=;b-eb4c;Wxd|3d>f|ke8cR}l{hz^cb(!i1~%HE7nF3;Qpf`+GAPK;d7 z2u^CH9Y;4dm58)_J>t{@W<_jL_m$_o1&xc5D9{d>e2FjOhHy@DpC*v$f-{pmZ zKnZ^JM=ir#)L<nt zW;>Fi3AS9EV#cD^67?3n-BY}(nxKSlr|(RbaB(%P>RQjKyNUQg5t{Jlx$2slvn&5+ z6s*JhmBzgoW$L=zYRMq@VaiS^_dOe^Ys01T-;nTU10Od9VQ^HukC9-Mxgv`nn90|^ z!fu6gt}7_LpFhy)v_kD*#Os&%lgsHC`WeXmn%kJzuL~GR2f&R+Ck1m;Uv|I z93CK`0Zai1dN#o^?e*(Ii`--5gD2~ba8`p1lBY;hFisH52IH?Jo(k2LN<=~P#VdL_ zm~=&W)!tVN@?{RZL$A+z&DSm#dc%Qc#_c#(e%gl1F#{esk3YR6mmwN>+RSp;El11} z553{bQE_OZ&5t>7`^%;><`{tkh7D+g-*V3rMH+)-~ zh;iII#W^(BpnT{)f5!yEu+%T?OOxk5v$wqG6-!Rb+P=m`+%P+|+rT+B~f zEPN=7QXU~->E)8%JM^eZLpKrq28DXHN6oNB#nL%i!yolys&Vg5sSBar+ zqZUdkvrc_Im76R)c`G@JCiqLdceJ|nq-mJrQV$3tw(yCmJCb&uIg8FKXRlRw-5D5( z!tz%E3~F*WYfolmed~E_DS3NT0jUHonl`l6{+n+IuBQn&7W(*~(bu6u%j(s?N74ne<*a< zXqQD0jRg_N%B?)DN86Yis}B+NBHl<6m111v%ZYgOSlnR2IZ9B;db*3lLIekDo4wtp z>o?pV7wUQM1LMFC`fPKlXxM~OysVp0KoAZz8=CIz6xD#~6fU(Z? z7voS`;pw8`2Xtbe-seghxK`Ql1nl-#wk+SEPMiB0eu3|duRisnIFUTav5__pjR5a6r|lRZj7{qqZwHA<)6bwrghqBAQ{On%<}}7fPQ!rkHd?t_(ZsOvN0HV-DGL8G#=o}TlAecOJb-o^ z1c~NBy`NX;{kZ4G66kKJiWC0+gF~hyzfr`T7n@#$5`}gM4K-$9s7zhsqyHA zQER(4JYzeHY(L!9JQ5de$KX8NHV=UWyB9#zd)s~hh&!L`WB8J71Z70_@?%iiKtWdD zNp;ftOpYJ4pP4TIFuUhrcb!WjQ2LFsBi||uF!<+YsnQ>%4t21eRISujLl1qcU79n2 zzdpQNfEG7s85bbhV!O!rCc~$LP^;GU9~e(;Ul+hX`|!I=!m!+Q0j^eA8BPKRLPE3w?_{cLCd zRxUh;9=ZW2U* z^Xt>*m$o**m(7#*y}Z7d|9c9C|fi)4qPhNsv za;qqzPxjfCNh+3gk2XJbC9d5QBsUl5mow9N0po}j36>*@1WX@Drm;9C5#EGXi=cKL zZrvMR>Tfq;R#$ZJ%>o3+j@62h$e~)H>@9Bi1z7s9ccQVn6z+TE=oN1PZdd6~-RLNBK}Kxz<3fN{_o4bo zn%!w?8kpTNd%hOVEHH)O1(8bpXVj&>k}+M&oZSDaGb2>48RcI@Upl?F!X4ZRrntaJ zB2F)fT+!tx$6Zj3lJ6Pv1D9~s-bb9k9dEpwxE4FthN8Ut)&Pua3&2Xd^4+ zzy6kIVs9CtK##n{iPpM)mRvk#2f2wMV*e12YlCAy1DA>{&yCI}kLd?R#@Z^aWnv^| zW88_yjsPDh1?f$xI^L7SDMAGUw-|A z3qr9$qd{3Ppy*eyB7iaiHXHPc@o^{ae8-_SPLQasB!}7&KdGnNnXi0(z7BNP zhc7&n)XP=)oXl}#7y2Fvoe*qiyc~POm(JQ(=0|ss;4YdalwM@YpP=#;pwY{8yT^Kr zrMdsjhrmhrx_vst=ug{zp^*SAVQwjcyz`3r)Z!_==J& zrhv>q;Ak7^N~i3a^vSfEJceC~RvC0l!cB+u%EooIQA^2eMzG}{OPv=WDYtTJi<(T) zlX*2Pn4_qCJZBcV;nKME>4EI}v*G}!35uA0pf0$R+(Ss(3lMf7pT7i0$j+bUP*gj& zN^LynTsXUGd7sn$LG^2MhsU3*57fuH^TSrCSUBIp+%@j;B84g}4o50qj;1teZ^MMF$B1si=QZJ9;QQb`oYz=gQRvVe zJ_R4WXvA7?v#GC@>?^yhQsoUzr!GDEyJP1uO%Qk--og~eBiIkK_ZcR!{D{(hV3;qz zdWb8CWC~Y6k-_`Kd!xNDL$ymxNZ2hPS}%Sx+oRieQ3nOqbi6c-FH9-93p$3)q=-#a ztJR;!K-bcT#vJw5g0;M^AV3kZ@p|(gcjpiTugY!(8oOFZx75*dHctXjwp4H#h++j9 zMnH{q#`;}a{niKKz{Z*+IC&a1GQnpUOoD(*VSk@k&gcr(6YwEIF_b4>z5@R0lUr~> z!X;2~MqUF^#@eh-3Cipl!qTQ7vMwB)xCeT%Ij);7ty6a5$olWtE#IG)iRL4EJU#O` zonCUu1$R5f+k#+hxsuwskUh5tu+kDgkKvPgP*`bbW0qvd~tAG7CoL=4l83Rp=q zBu~{xUv?qco<8^NT%mTIN%9*W2Ft={W}CbYRpN+$G3#F9^pr8+$BzARrlMg2c304cyp(R+kFADonP`h{lDTkZnlyOx zaZV$d<`MBpA*tTNMETR@lHI>{_Z~d3CtK4!ycEK@xvX-YU?!)e#%#@rlKUH3nvb#@ zIvL3U@xn4{#udD&td8e(b>X1uq&V*B>7j!831yE1mrT}(5DKK2XVqx#V z6oWGA|K?QMqm31nl=<2?)InBGjaS zC~r~H$)37QTlR&v11-mv8*!@9s=TU>6V)KqFXSo|{p4YNh*U4F9O)@YcEin%9D)nV z`C(R1G9gep4Iy?x%-0n3Z@f0YhdpZH&vVxYGnhdHu>QE`srmxZtVdg%`$+}t=AM`C z(8mXx4uEyoG%_uPGiq{>k)Od)A&OQ|Gpv8Z4-3dhP|%rVul448=L_eLyobuKq#q8? zsmhv6`J?S?uQ(3wfG7DcAhaObxk_I#4`;ILAXPz4R*G*-Rq`X8k9jE6T+l#W>GFnQ z=q+#+0!+WPxE?*CL7gavJl3KqKfmwb0<#WLPF5IyC{O1^q|nE4@V6WM;kL{d-y|YJ zlX8yzjb`V2%cH5pTaQ|?YVmu_6_p>Yw}r|x?zD%b{D|{zKX}ESFt*`B+xq1#>tfE< zTp0ZvklB%rI*Tz2I&QCfc5-1|n;R`7r>TZ7CL&SBv%cY3s7{AXZ2f~V^=yg@KAk8x zUlHUGglqEG&F>lEbQt+~)|Fr4E>>^+7)d&%$oa^ddf?LQh(aE{MxOaJ|2G*Q-TIZc zvpFNuYd~$x=tZs4~y< z(42Y-xus_v^o}&;&xN9Wd_MmR9Qpm*rqxu%7lo3R62`BfG_ZbPC2amCXk$Sd9Z zbf{7;f6rg(%#i#Gr?Py@V)~W)XQ%l!zqc>7NxGvVULcKM1c}}Obo%)x`0a_0G*sWK zmPJ5xwce!C^ld z4;TmpI}%i1w__52A1cVpO-lfMH|in7+RsUy0qRCfMJLFO+Jpxi7fl4$Cf9He71B9hLCA$Bx0ZP|jwq4C+uGKnuq8N=q8X-4URyvrIAo?|c(weo zElJSOO;dn-APCp@DJ==f#;CnNh6|kV#&vjeHsv7|3RCH%L~~P!|@&l4Hkr}1cc3pXF*%So$3Cz-W`q#nD+(;$61R2 zTl!NWBHCbk0EK#U33N>lm#BP!ACg4g0!}w09b1*EY)%Bo>B4e%g0Gt`G#1vUwCwU6Fvc_$ijK`@%eO_=W zxPQh@z~tmd-Y2nkP8nM9T^6+gJ{Pc#^LvH06AO)w2OSZQ@mPdbLREYjgisv$DgpaB zsE?W6l|lM9%JB!i=>9d}WWdJ+@4GC|`O^rGb zEh3@++weV>-($l_Ec@A{%Y-|I!V95Ie;HV+x^<=WH?&Ay7-wa)fjEPgJNjov&>0X# zeC@i(?vk&;oa63BfU)fuAi=IS{Er^MA>m)2t*{}KVK-U5dzZHHE$GJeQ(H@v3;up~D6xBOX$>qz^iOM0u(&xL3@Tlp3URS=x*?wCb zXz2JoErf&`N~Og1er`i(0PL)bN;3}Bav-nIYdT}}@`V_V)mEZM;(|p;?C91_xCt=P zpcVyOmS78EZbShN6KEH&pCcbj*wYZz?wQs=Ly2U5&LDSR&Cp@x_O$SiuUJBo-E_!1 zPUcJ^v1nmNn(?L6Fk@m@yXK!yPyw;NR+mH=7+5>ZfGqbz^$#GHPbP~m7`-2^&TCeG zLMaG;n!SF9PV#y(V5ns_;6;FV=ezKAQzdY9VCWJ1OKUB>kUg%&;N_i5K2CpmO?TN=-V`u|`<4ar3F@mFn~jXDU%w`3$+78f z9RbR|%Dw%4Cny8E8jA&(H-Sg25VkhRjM1ywa*;4GkHsc1S@A8`7YGB7}|skKuzm#ARxEJaIZ6)AgJB%5qa_g4*xjF7!%2KXexCE*n)^iiL~ z%C+Jhu4(i4SJT8dS6z2kCCHjt2LMd|`IpuboC2f<+E{^6ya4vHere!~^@4)_A5=iU-cV&ihFLwAz(hCigcmW6i-RoD8vxhekEpU3+wx2KIVAJvD`OwwkiEA)^2tNSjsP{ ztrY9__P~3{iwjV3g;9bG_6d+)bbAVF90BRi_xFU$<_HbMmZexQSs{fD2iGMgp?x=+ zYf!f8_qA2WA(DsxSIyu>?`xLn-4pN@)QyMOBxN_G;~nYTS)s~HwBmF83;wub44*ax zIXadC0|7Ih5`4gUqdU~iHslc)zuBKgPG6sk4AdX1Z9jU$Cy zlFdSw3pZ8?;m4j+;UtUt`Q0evLuRJ$u#JXpVMrN;TLIAH1@`g;nI|G|easgJdtZW9cEW>O*nd+L<&&R)tV!m$4X}KHyp2s4 z8i~12oj)9!qU-?{20CJsx1300QRG|nO9znYJSbQ*05^pI~|lTJdzMcPI&9)I%kxu;IDX;#_1_Q$$5gnz|Z> zIn{1l)yo&Rrt2cPcRN-M#0k~n3(Q9W zdzpGk^8KRG@^z{@dvT3h+e?mz`Sr3s_utojgCa09y)f_q6H-Pyui&N?M1PcPHgUC` zVjlPoxwx>9v8{18eJcbb&$S1P_TXT@7q&!T&(V>%E{-m}5cf(DxW2kaw zULQn3RMm82wy^AcGUfMddpUk?8-&W}as@1;W;8-~tFqS-t{vSPR6MOLhhQR{yL$n| z#mlq1l?x_&bw8fnCdtnFB{!FyuFn%dkQTB%WY;d-r2Xv}d{TDmfHO^8W|>J$xHv(eV!tkc|0aO(Q9(DD@fg3-x>b-UlYwquh4%
    ghaHFKkes{sC$1y7?>eCWzSmml)!|7oeo_29^0?|g1olmt3=y$A0?E6H=LD+}-VQ+yS z^$Wkx%NOm+_eaM+cAfC0%f5R`a(-0ab3{eclE`18^)ciFQ+FimpWo^bwaYQhmWBnW z`=k6MD!YkW?-8|m+B~9qUGmus8keZsJ_zF+%liklXD{@s8RIa2^_*((m&g$H{+ed% zF@9ZY&q&f^&ish@m{s?XAI0EPcc@stK|3#A9 z=)a$r9qWd#GGhtZGnX?Vzso`?9*|ynr=%hO_}D2LlYeySjfk%+w*mVn6V^9`_*AkV zuaSJGQMR!T;vu+aXkzpZLA{N-cj7M&&Ankhg5- z{3U^d3E#5(;OUUp2dfV!J~48y1OGF=f8RbX2fLy{&VHoVwC@i;1g;As@2gc~Zxg@! zX&UzTe(fOa@8zBch_5rlPD8GEnKeXR*y?S>ANc+m?7P3GqTg!Ng{@RCYHtrFs)|I- zpOV?(FJE^!=ZX7&@&2gU1jw6u-|i&6erewAkpFydC*+gz^D&~{pfgnV9sgzfEf0($ zetBas<3A~1|563N!MJ=-7vLODyt zmJNa5>$Pb}_;UA~bNo|}2EP3IT5LbbS63ka1^c#s2>Wk9JLGj+sP8J0bJH&%UalzL ze;L{T_NOj=O!(D( z-Df=M^I?4do()ZMhwRF1Q~3H<%q+M*VdJM}`Q7t@FIObaXyWr5Pa%$~C&y2h+7wRu zO#YU$iK=6Lu+Hc_{CyK=fA!E`a~rO&%4{*PzcA;su>L>!eXu4~Z{!VmsU_yOn#Aji zY@hZJ$&0Bu7812v&MzQ4`Z4d1MEjaYs9t|+44kReKVY148t*@3`;6H4i%w%PFLb6u zYf0W5%f$Hc@6VCE%zgd<^e!6*e%CHB_wUvPjNj%+u$lPWS3j0kbjp0ICI%M;5y)! z?7Mt?|C4D`1M|lJ%tT1QQ6IT$oEHg8&Ztsk)9R| z|C+>&fginY6Xe9gIEM7=BQMb|`+UEY%IeoeD@c#15WZDW1t}d776xma)J;&$g z>A;KY`wu_=Sb8;{f7E4vMgQ%|SC|jBLkr|DdF%XDl9z8d|M_|R{yS0nCM^{gBG4^wd5W*SE*9KI;7E5g*y?mmQ?f{`x)Q;-(%k#IK{?FQa;$!2ZN; z90fnh_zgEwyZrhI=A~Ix6Z*~DuZ9x7^xp|eksWn}fB&_Y7jj$&Ip9DZ$inuntmFA} z@xU$8C%)~oiKr{ta5Pb$ye0Rq^jeJD*S_q60`;=Wwq?|=KeyrbkNsKSrN-e@Z{B2D zL)2E``Kxrw!&G*Q+@YWV6+t7RN3812^E-10@TK+DP{{q>7X1xyMvE`Ar62DP8t+H{ z)Gr4vlDyfOAM;K6t+&aZf4dxfdiTJpAjE9e(B z@BL2w^1WUGU$*S9CFtk%28h33klCaBT?)j}bWOg6^oznpfM1g%F7V}JWx(?>D*d{W zgfCZY9`u_coUth>~1n~cW(OYYyX0Oi)FIsUErerofM z?}JsPyKNvnc2h<6PyYDOXMai`PI6}B=4C`xwQ^{etLiw^|GEHvlNn<1{wl`^=vT$E zB0l0>MBD$v*jvVDl{;a>!Ip&u7S{!WyXzv`;J&z9kY(A$-66OZcMVXaXep(%6lhAJ z6k1x`C3tZbcb zJ|gdU-d~SArWgN>^-(T5d*92W*UsOM^^v_h=GMo?6=7e-T)?`_ik@;9(ii<5?1m7PLSK{CQ zP_Gr{mGsRKLhbbKvRgo(y5Hv&vrl54@M4X^NiQ2+XA4oj)jij*`VPW;(wlk)l78L8 zw+ziAQL(R!j~Rshw)kla_C#{`4)Dhc7t?_SNHf|4u3p zNqo_4LU;0yTrs5@#X-LM?Cj61Sef{?NH+DqQO8ygRddIzA-+iV)U6-MiyxtSo$D9)%M2TMlKArX zxrmRcu;2*V7c-}*oeJoF2=vW1_{Y>Aigj0&zk8nAaqok`mmIX($tOz-d0Y7_a3&{R zcmDlRd~_hjOV@)WFEY>CP4YU|{6|D>g-o}I$~MW6cl54R*k|an zWsuiwwpEWvPJMm1p7h$$BXIwN?es?f#FFV@#Altl0bi!vna!k+Z+PSSAGc&S@omd5 zh$}x_Zy=S;w@cu&JAQstmTl64Z-U3}AbC~a?H_HOx5#&VW|3`>%aCR}+PAyq#@8Z+ zn-6|-0!YqeF4LYUE5Fp)A9!&UmG#v;hzqNKcQ*Jxh_9HK75G)@GGl#^>)LGy_2}U< zY9J2GD+S^&zURg~lt)Wq{;AZjaXz8CuR{J2|Fyb7ayt3f7_uwRtvEqt&y^s))aHX2 zA8-Eg0OT4>2QKxl@~2Qv^bCAEY!GlJrr*Z%g<^Bs3pl^O;@)e>Yq;Ni;ScvA{w(&- zYb4JuC2{(*cfLSne);xp(DX0&gc4s~L*CK%y&qFqk3O~q^CmED4Z;DN694_TnYYf6 zoX!%yhp0&M1oK(?=ZAi?sTlOz{MWHA%XAktwUf^eLqB_|p`Uk2x|Q_u{=d~AJ1n*P zet>;k&*}f}k9n=z|8oreDSy_*_h0wBiLCBQos^EL3ryW5a6S)1%f{e?_T zi0aQ)V!~tKP7mFD zlG?F{B|^dfL3~Z6>kc3D-TR8!Upj*1)!yEgsNT~A^O9G5^n~>B+)oC=@Bd_|N&Zn$ zvm8G6%tqcbYx2cVJ6rSNA(Ho83F3>lyN>?LX-%>2n>}kW|CrY+#Ls+j@AYLjQ(}EH zDGK2JwmBDllkmk3xcvp+P}`6_9_M|8s2;f%>jS@g2mRCD{ed@qJjTVL*#X3d)%f=k z^_QoLd$7I8~2k&xkMn-FBWRD;BsL59&GmlwyCG^=%I8$(zZcpEz3aSc!GB^FpYDUjcEOZWV&slEmN)A{_iksdR<+7gl%1u_9&x@gmlR4=pq2S2GZvA~z< zHOTq@R(0n$Q3mrz1-`<3)-V19-*_Fx`X#2uzyIl{mXV~-b0rvGmHX5kYNw03->=sX z+J{iT%-@ybi0T*hF#lATd(MEh@cD=QV|`M){nv_R7{C4RpNrI9?RpJdDA{m6l|5I2 z_C;yZdgc)R!RAXT8!}qWaPHCnV?je(z3-yQzN^`AZBB zaPdF22mP~!D!X;&?GCpdciR7$LaWp`n7v+nF_D}6#7?r`;q^c zUqQ@I@o_rz%g>3RU#A)|ljLodFt>hWxsLveioc=%;(Ch3#8>q~&=0X~oQwa=`1>~- z+{rU}nb_?|1l__Bdh91hR=z|X4VY1p?ND?KJXW`O(tuwFX;9_cgHd*S?E z^(~L}QC~=c`0^QhFyBOArIpl9b^pudp&!{V{|WiUM7ZY@*t)$~XVl*5STA{<`j1GT zj$MO&jEQUI_Fs+iJfi%?wcFp?(nVZe|C|{6QqgI^3G{z-VW+=QQRFWbcQKOcZAdWu zD6Wi#UhdW75!I_{*EI0;Pb)z<(0&;)KAn7ZIQ2tbO}vgM@9;T-s2QIH__C!3ApUIP zSoqy8@q-;z$^E{h-1fkjO_;ffqgxr zw)0=j^oW3JK5s-LUHO3_>bE|JE*;?wG22{ z_ZPr_V$yW*?V)wC#FsOhVqYWX&DH4N`tz`_dJeoD>fw8S7YomSsesOS{>wfaiSeoI z0b8lPNcOrfQ5Dw&{k5Hcga5_#aTlqcr*-dJ#n_|N1wcTxT`w;}(D-1Xi0 zp||_|YNmcdJVmh}A8My#qA?Dgrc)g0H3vsvev1zKHW8o4WOeIsCii@hYCrcVwPS1h z`Gdc3WC&4pZYjnuqhnAn7MDLo^?E@d{9t}_`&;(Y_(@dHmURgLy;>dqVmHE`c~Skq zl)H$E`M&3gZ>!ft{`UNvaQ^bj0>7A6tM8K>KkGiPsr#vcC%!r<^vm9#u9AMeW}ACH zC**olinB?-5PVf-@CuG;6GJk{|RcZa(;9;U%cxem3jT% zh#y}!{05ax{;;0FSN&VK|7dLd`G3$$r~X<7zJBv3@`7MNfmF|JMc_f@a_>iCCt6}Zz%G2;5B)XL zgYr6~AA!t$3hKuchh5RnYZCE2SHkfvQwsA-zH1VL z_60xPCMy1`;`S#WQ-LpK=+Pa?PY_YKzr)?33eKPyg-M_YL;?PfaDEK((6Sfc5CpjYH11g(gMIMs8Ov6T# zUbX!S&cAs17tqg>j9X9b^x@{ntFmIR&5-*Z3cl%_auk(i^mycTIr@*qq>p!U=Lfn| z`A{m0V~?=!lD(4yU(DZ~AMt{35Knnw8t|ujZvZvdhe1DUdmVD-;Ae-gtrPsnp1A(i z@yivSO!`@xQLrl~)Er5C&y^s)^unINj~bBZB(=81r~lw3^pmgM0eqRd zlaHajO$~gBgQb8k-gwLy(ktX`;7go%>EhQo`vxyhy_^#ReCcy3H&R)2bKk#a*DB2? zed^L2)RXVksUj_Ok6z)_M@gwhMphU&*45l z=>eY|9tQ08CwU&*HHzfLg>-ITUg$gU<++bIlhCEddgMcOQg?$ysJm-T1ooYXZQXk@z5ZjnzCJiAAT|b^Gr_~ z0eMrRi=qDMV$B?XoO{nA|2)8r&;K6k#-1$Dg{Cqjt z*I)ZgML#mf&G=vJtL5(bAl2fb%U=_hVqWpx|HhEKc-IVZV@U@CU-E%K{_?Dw4qsPR z0Y9u$L*R?gWqV;a-CBpQ`1gyL8ot1nE@k#m|9JTeN2#4GQx^DA4SxZ?ek0;E`Q0urz@#HCUxQUM8(eSn~B=!qp&ZI6rM$$x?ZfsAg*@-O)8T8gdoQ(^{bCQ~`#F4x zVSlMmk3OEM0P+{>yRrxR^82d{w%L%Oqz`-NL+8xoVwX{>ELsl(zWB-T`&7?)h{M;U)7XEBU2c73d-M7bUtZ3Fak6Q55KmU4H}u=d zuhCDjJ?9Cs!)wnDr}jF~?Z4#jZvVv+zZnI5b#ePIx#~IMtM6W4O>%1aJmfDMnAw-g zY}NtrRn$Y|UDfE_A=Lj_wkg`zanF~Fk2^PodYVgNgNW)h4G;(GzXhf06UJ=l9;r2c+51;k?5Ar;s*Cs0SmfKem-@d(tetP~*IKCny z@TH?`MUlL^oF4g04mxlI`sd$<|HYZc_fgK?9P1-7F`dJxy?S~Yc$MDu94@=Q#yTsr-N62fwaAM6rNdrfT>75|$S*SGRXACUv0rJz?aH(YYN$u8MZ*)?3wE1ItA>ddQ<($R-!!dAK>#X=MSQsqz}fWYWx)7 zMe_3>JO0zQepD7?vn-=_ChYYJDtoR3@g-Vka`?)T33*-h8FL$Ys>UIo=}tS5-}#kA zj;?Dok^Ccm-`0WrWAki;eP(mPu1HfI{x|auI(+`XzWzS{IoVS^n?<7E*GdDYyi`au z)!P*LfG?HTy+=h4`;PB#>-`R2>T^4npGpn^zRW)NUI_KqP~b}>cIQ*-kuUNKpYVMr z+0n&5g_C~WX$8h*Z)|x$_3}>CE1cUdu23E0+`jc2p?iNQEAPHP z&IX(ZzKl-`_|eon>&7#>I`Athya0aL+9mTzFB^Lf&*zx?(a^8Eoxys+()XN8{j%X9 zh^J~2|M~HT`(B3mkmn%rdDBAP)E|Awy4vidq2Qh_xsf%V?DP%?c5A} ziT?9|8xxrW_);s=JtaM6`Fh|>Jx;WR`l<9X^v|4I4}7tI)&XDot-}7E&%BHMm)hb! zUn%`$KFRT$A;1^kdCcXncA21`jhqd9@fCX`$evoz@C3EDX=}rOs^cTzOP2UFkNjpn zL;+uHpnHF+z3slwto@VDBYBy6?-ruG&_4KAESLjan3a2whggU3k3 zIudwiYf~eCu%HynNT26QFn@8G)8VVWd%lJ3{tNj_rY#gp@-p`u_{Ve534B=_+5-4` z@g+Uzr#;U8Fn8X^rp2$1A6kd~FZS8Z$u57@sE>HCId2wYe5pS~le~^B0(|i@Yk?!y z^ds8qCh%o#%~;YS8is+-nLD2qcM=0%Z1QyE85y@8(IZti53tw4Rc^TKeBJiu5kOW zWM!jBPQILk@!R?f&r$#RfMmcIYwO-~Vd`eb{!4Cqhy538*%I+(4b}r+s;YbMh`3k? z`AZxN2H*a+0r^W7ItzT65{IKmzxs6kE>V#==OePu3){7XFWITEp!vf;_s96GU$u$U z&c;2*IfcHy)5W383g{QDd%66zCY8hOtC6s;V#Yu}o7~;$-1Ekkx#zz+AA^22 ztolLpXLB0hi+xJE8TPsw@KuqjF0Spr;qxQkd$BR`O+NR26P;x6)=<)0xE1#ACh|s8 z;>%kOpK9y@e=4hDLmfZyajcK_Q+?>?qt9b~lqLTJ&g8nWe$<}be*?adZ-I9mF>e~# zkyEd)2mc57Vs$>mQ9CnhMhsEAq2?W;s_Mc0M0vR$F26l;_kmf@%j3vDIwTQ3Kk}#U z^My|SXili7UbYQ@ed{xC2g!S`gz;U{-5+6@lg2>)uVxsh^3i8WUd1lGNz?@AcuLgf zI|zL7iw5}8Vup*aPwopOZ$k40Q#-Nmm&;U^Nz+1(4K8(q>RIL~$OHPs>o6*t*X6K2 zn)<&yr1sjo^ibfd?OyD^Oi_m~wV>2SYH#;v#k!!XbqBsoi}?2kg*^klw2e7Q?ewAz zCrO{}ydC+=ob49}{l(fWCI1OA1o=y!*zDr>r5E~Rd$bur?RfhA@SmRL_Gf0+VBmrM z(-SxmA7<_$JF;p%$m^er2a%i@)ixaU#ohkbWLx%}$|`xxCe$Yxc9z=lIqTOGm45E| zRGa%V`fL7P=ki0O57rY=J^=D^(jSIe7 z-Sh~_%dhj0A9<69mq?E~*8+YK9o+9si#Zb>QoTMBbf4Or%IH&PqhPk(r9Th$Z{o{S#!tb{AFTj^R z<=zLti?4Hj8&V4UMpdlw8Pab~wLU=9W*F<_v!^^pWl?c0{9_V%&jCM^d%uf`yo30d z#TU^}R`v2C;(M+H<14$k_tTg^bHT3Ycq5wR)WoYtiJJUp;UATz3)V+A+gzP0+rG4McwAeRH~f>9ocdNuE!sev|C$h~jZn zW=-BB53n9tMiQ>n^K1Bi2OE45@zuk6$3Sj(XZV3#jl4+m{9PyXj|CsS41V7cyQtoF znS=SSLfT?nGWOC#s#pGX=R*IHeQy7ic@q4u8+QsNdHr|Vt<+8gPICAf@18FcagU&1 zM;Cz~RP|7dpTCTA^QU{;2PDVN)H_1{V~u74U+kbepW?Zy8)wWI4j?ek`2$fZ_ z6R>Y~-1MhIS}A78pro`K;kYqGI4NP3=8b!tuSH5&6di z4?*4(!!_0^JH6mJlGkOPV!aeKW86ON&tiX*f6S}D%2FIeMR(suoclSD?DF5*93?8- zkHY%o`8PrPp7Sci-@e%6a6P+)lYiG4{b4DhA4Bibakrs2TQb}qGUF-z{Rj^y%`HYAo)K2y46h>6nvBQaqhPQz) zacIB=@DHv!80x7v>f286r0#}zA-{^cr>~Jd-YV-^qO9L-+bxdT>w6(f$bTwz5A46xMz{Yq6SqRI zUix7ZwNq0&V83rWx$|Awp)2h1)W2gMi@tIf^mZx=eA>I)@VV0Vj=}t5`>SjvzWopi z{HU|tfqVA-fYal0F19|HShd zuqU1lN1Vl)1y}zU`?Adu*tdU<#r$DchXL0rNk-sQ>?{bo_TgXXhmy;?lU?H%XOX{- z&4quBPp4oSKYx%GanVgn@1?T5^}zLe@zx6{`$Zvt$rlyVN^C}uI-|BI-~;fA-}fM=^wWd{kNTJZwJ3!y~9N9t^L54Zd>pSmDz(w@C*0* zc>|SYn0r66xswy~#s+u~@$%G*x1HVk{3CqTiGROxbj4_rV|P=oB+4Hi!aT5gD(ssx zzn`Oey=`be%)jdaz?VIB%*8LRMhy5bd-@Qyo!$P!^KXLqR%6}sBVw1qdM~0gBY*N` z6X7q`s|eyR2V{Ckde!FpIR6s;|0_T^vk%82zH-c!o3KAJWdu>fUr!^-BjUf`xqmp; zN0~e4wop&K{`U%S$cMQ7o!t5U9@VqeIdT7yr9WMT#wl94{H3#g+)esa&q(AKW>+4e z_Udrsr&KRrGw2sZD#35^W9pN{w`b0w|Lk2~;FtNg#r}(T@NxUEQSSXqp7&b;52ARD z&7@EFt#yE?`Y9avkZ%K*kv@?li^E;ZECE#JlkS6WC%0cp?d{w3z?XcV*_ZgN^g8g( zfm?H^tkZY#NBy)vkjK<;cmGjVdL2#mHfzUyUPLdgn@iO5JG{?{3Y81^;zbU%pmwrh zBJ|JmZ-Vi)?UK0t^@HHsq(@)v77l%T3&s*Padm+ov+Dx(7oHzrNB%NNCjUwC)%(hV zFDf2ALGAf4ukDcAJNsg&r|h{Bv@idBgZQvpQ?U-JWVxeAPK}?n0rG2;AU<}~@4%P# z9nypBN`3+OV!0M${H*8g)3Dnt74jDUHyrDQnc&_pt)J$``Xz(!B0s2OM_8_A)U z-N}jg>!YcWzhw6s$X}+#XvD|!zG~zR^>ghl)GyJu>=B~oUIg&XKd*&dfn(E@Wbmq10HQ;eEvJ@es9?o? z_}%!<2fjp!j#JRiIDE;+%YZNT)0l$m<#sl9sN4eK}a-F=?==eZKJ&r)^*zC^O? znE(3US(rzvL4D+JRx;=w>D6z$#}Q@Ihy6`gU@zj! zbNsxRE<6gHaw+&&k(qaRTKc?sp^k(J$x^>)`IMuz8CSe>Hg3 zd}^m(mksdpP|uZMeDy$gf7?u2gZXV*1|1_geV{-5Wzyb*eK9>ZaLs#{Z1#tT&nLVp zj5uel3BK-p5c5sG>8l_=-#3E#;kgpDZ;Qo$f9S}v^CTyql#e7ind%(ID;tKnb&tDq zQuF&ZoUfYTh`eN9H%trs%eC{vNS?o&w3Ddl9eR!^dvevq|MCUkOV!MP`71lzJq~`h z>%fo`OHV`=ABLH`H2{KU3Ts)PPath|6d%iI@D9I zFFZ$F?XxV{2a5hr!M8~k%qBS=lpNzz#oNxJ_TqYwi%-dJi>R!8cI`m@u5_5cVnBKD zd9D&s;F~;tUY>Tc>xdCV#jZ*4uW5M-_|ijHFNJ)kVQA-Rl3;wz-|oFQYNW9P&X8X*? zc$8?4`0K_OF@Nj~yED`yZ{EGbK0uav2Yj*c2EZ3vTE^wC9wXiQSkavi@P@&_t>J$I zUpmP>^iyOk;q=#7;PBP%3GyNv+xR%y5ph|Oztr&pE*Y!tsfy7LKs?&1oJ zb7FJgiHq@Pcz0KVOIZah&5}# zH?eO1v!S;Gs2zL%b{pg?P5@tKcJHqfz0;xIcK^J=%hOEVu;Af)^_&g?}dCx5Hj zNwUWWUhtvzwpQgcL_Jr6_*NHO{^s3Z0be?{_C%6XS^FR#>Q4(0e_MGssQh=%8~WVn zd0wp`=70O#h_6hiZjyaj*WKT+6ROQ8J$z&~IxeI3dZIhu zQs*LrsLU2L$NZDS)1qt(%z(U1UjccMFKn@c#jKjJymKvBx?G7hMz?3DHF**tl~SI-;3avke3%50AIRZ>^8LTk{0>Y(=tJP@o`0f z5B*KRZ%TAP+-$?zSkGA7_E@L&lp?TWtF*)UstT`;^-)Y60eL&S@AXiRF+Oq6YO*ip zbT~ki)kux_tM>hIj;B-3f&W?m{1L?0U(y4&`esqYUu3R7n((E1Uc>p9S~3RyWgQ!D zruOFh$PJ-Hr-lMQg8c#g^5_xt*S^{Xy=hPOk81(ZKRi={vM3>)zFJ5;b z^xIWcj*x!&@$aQXd5LDgm#F0Om)-XQxYP4$B7d=>!I(d?>lVy!R_SE`^-G;>5<^s< zdJepbaQFO#$z0_i>DB*Cb@*%W&onBtd;Oe!Q!JR|%;=k&iCXWyZvG62&yN{@$G%P1 zPwodju_KOCJI|G1d`+6Bh@05C4(kao`3?DtwaV+pJ1H3cu~)|fXXRaR&cC*Y8=)dCdWq-Me z@yQ#VTz={CdJ^dsIy>^0Ox7R%*XgHjgx=vFHa?oNOEuu0@Moi>llU#HtbzbQ5oeit&!a*}7hzQ7mj_z-;gcp>taoRi7< zcj1b8)J~0v|NeEBmqBEY?PzZf z9y7U`!`A`#{!DW{`%S91T`z`FJLWqE<1^>t^H;KBh(B963;D|ob@@wI>I47E-&*d3 z-X`rgk-W|@9sZRi;+&raAD%vm6CJ zO|F&DZ;StmeTy2m3iC_9FSP~wx48S`;(A6u>M#HLs5#Z^*BvlE9w{Mj_RTv;e7*KC z@Fn{dfF4g(g7M{pq7XNccj-COD|nhCMD2w;$ge7@HvA*^#Q|TU>TS>VsKJPLf7K8u}S9uGjiu&4VzfSq^e z9*~^)V|dTQ9;y%a!}@4vb%B4`O^du?GX-p>b~fxC{I6yVbNF7E8TgWYN4UIEB;o|M z<1z02tL$x4hu@rSfG>721@L7nxc!ZJejuFsVNU16KHp>?4|}S~aoFc?>TD-IzuyJ( zhP6wvi1d4Ye;9s|vnF9&Cb3&bjEul~XosJHyw3U?_DyWe%k3n`4)66ReezUm@J)1j zWy$LYsH|$b^F>>ECH8xsss!U}-(-fo{dxEavM1914gaWA zwWmOTa0mFG@4D~kgmv!yt7SfO!WmC_4ftYxIMxH(GJGfLVgFq_1NsB|qGmhj6%C8v zb2Bendja~9>jLU!!8=!|Yzx(f9X?cH|0VmB!TyW&O6B%%9}e6M^|X_|wI&f&|J~Ol z#|MYw^NA{3%u?CRoPj*Azg&v||AWQ+F}wrfFBV>$2z=$q;?~EF4qvK7c89OC2Y@f} zF&pNSeP0gvVySlkUur``x zETewe;hPYD^Z15~zgMEoRIloEML%TfpItxdyWf`<%`=!#51)ItI!TmGtByE|*6#D6 z>gLv4dH>BW;>!hH50O4yHKoJP7xp-Dv4Za$E3i~g+qYBn1RU=0L z?EE0UdWrk|pq~b9q4wOka~HdL8usaYLrypU6Mu8@S^4v5@{gUKt`)_>4(x>aBig+^ z0r^}0OR0Z+kc}bgxe~;;$?5RLALcy*`E60iSK`$AyU-Kj1AKAc=D-&_v)JLQY%$== z3~3L1@g|3^lRW#{b30Mds2Ap&813GFXOfOX|83$VZl99XeUG0v8jSd}=b?zd&Hctb zKe2ro@TCXDKOYs72>y^+2D$uIx;WNxzWcVrZ^R^*A5%S!q<-7#*T6T$=Rm(4wiWv2 zirF*Cf2`PO;7d1m_Xp*xmB>q?VC%&s&tmc-|C+lW5np@tV;-v46?;wxKil06q13LK zd%j-pNrCl|&p3|p=?}*?q5Z0pkmmuHfD1FK_d=@Y`|rDb)IRrqFImLlQiiU@Iw=3j z8cprYxNpwy(VHMI-Yh=_`7a@{p=AFD@fFd>Fn+Q8=UF7D&TlzSR6k9HdfTeObt>CI z0f?g*c?I7OWwq<#{N5~f@8{A{UC+Z_(_v?b$|LUgq4|OD-R^s9cHSq4uktw{XZ|P{MSAp5_xtZW zcA3kAg&X=)J-^|8hryis8G4!G_fbEvK^W;}Rg&QOLUqRNe{65}UO?V>qz|=I*?M9= zs~Jr4K4X445Dd8% zvo{izAMzX~$_{^U_*!0bE|qne)B{63)Qrl2eu(|;!8gkWx%ruH5$2Wscxpejx4n8e zd^J6^9OXq*k^fAs-;P6Hc8UC8_+jA1{@P+c>6gc^9Rojud%oCC&aj)xa#E+$M7jUX zv((OWB^Y0ka|duF`;H4CInVo%&k$vwyiu=e|AMlO{~bAb>E;OXkElAg3F6Si?Js4K z2gk{t`2G|6DNBu63q3!uFQYbL{QB2-$nQdo*62snpq-?Tj~euV%CftA&Vh~m(v9rO zSw(REW$J8uLVP`?)D5(+R|EcIch(`F+J^DJ|C?^`C2Gfqy#&5Q{v@H0>)!{TUv-gz zcS&Bp4GJaws`uT>G)~X^>(M{CH}e*1ucl4iNbUHYm549vh5>j>xd!D?xmj6_b$PrQg56J5QVkeqt@J zVm^8vM7T}**x}@eBmdn!KOwu^!uhkUe9QH3`Lb}bCpYwp0)3Ud2jqTaKmPl56tHBSo>>uKFe+mb?=u;JIUqMs%@^4yiOzWIb5A95dnR7 z-T4^5k^CC;eV)A+?IPa8PkQuF=vU)5-lKYP_p+h53(>0z;XpUt4*%NuJF$ML{&GFF zGb49lo||2HVPD?=ewFmIuDc^ax1Yd%MLmA|kjnB=1(zTHX@>icqGm4Ke^ig%{cTlt z9Q?1+Ho^E=sc{&GOtlO4RjcCbNsr3D4t`V*RrXQUy@G?&H3PCad~50P0SNdlLYat-W>)$S>M4+$iCXJ6M2Od*%(XqRJ(GR|He1yE|vLj zgMlx$rxx&~iv5oM>(FJFNZ!PZ#=e;QmOF~_8uxx3ezW#Xl9y%1x_O^r#!)KUL+<$o z-ON4TpvRU!g1mBRth>LR+O6OAvU^{GNi}E{=~Z5f5FZxst6LvCjsSi|rmPX9*Ymp+ z&L2J(-1-pI^C8Lc!E7?&mUYOF{TKJ%4FB1#X@MKLHPt4PH+v5wPnlxw{0bSzrAGdDH8pCjFxH*r`O>)Y21Cp4AI{opu29>!o>CP`&Dx6aDA&H#z^; z%^ZySxq*nEo?GU)7q#o_?w?!lB5pm&{|flxqf}4gd#(iIE5}uZe#O_#CH=O|8|=Si z`H5{vUbcvTzHj8;n4c<5m7$o|WlQ1xa`sR;^j{8k?>!W09v>$?qTavriF&RC?Tdb; zAul>+SW5QTqDbJw{v3Cb%3Lf)ele@Z-J`OuSARIgUnLdp`TMXYh%BHw`zm8r#0QeHc>tkN?-0t`GWSNSHzuEQ{@i*g^%qRVP<~8i^?FV=M$lozV?OlTtiKsYa-ztlRpdVt&D{Gj zTh7M#`J3gCv#oLfU+Tl29i&HuEyw(^gJv%yc@t9pGEsXvizYssHy!f!Ku7dXM)x^P zd_Cj*0kqrh?thCzA;@py!FSj0PEiT@FPokIr{B&}dsTeQDXJIVJ-n&RR=MAAlK+*# zx-ZhN4IsW8G&zi@=SncX`n7xhUkuoW&mCq>8JFMxTCx{<4orZ5)YyfHv$*-B4Ef() znvj#IdHUG-x5vye)F0g~%7>`RUF;T7&y}Ek{@vZ*V{J-@QhPo#?>?epLv`T5j9UQx zy0@40^3>~W+uidMLr&kL^EXy7{(Id=6Q2ct=t8$|D0bu`%5NGv{Ixvb>esG3O8Qmr zE9;4xVZD$a)z;zIADN92*nf!yPq6=zMcn(9^@=@CzHRBPB&R!eGNj)=>Fe~@%XW^+ zVuIV3@!7uq)Q)9o2*0sr7w%En%uR&#(OmbbLjKb^bG!NVt_A!q_q`kexxnIxpS`sj z`OyyOiTt4!_qk4dJt7zK2fz3?l0g|iLb&x#F8Gqu{ib-?05J51{LrR#;=Aw2qZpR@(;%E`7h!4ewzjR zwr>Ytk~0n5_m=o?{#d6}8}GYRuadS#9CY;^J!$^&xkHM>KkwcCns;>f6-1><@IO2K z{eQxj2yo|%yv7oY$8_k0eVoWYc5#mii$(6&Or*#bk;1ubRZ85kE6= zCGf;6+{OB?Yac_Itt$ZksiXCgm(`H}LP)Rao@5H?vpv5(0Bv030qVQv!TQJ__rv-q z7Tv@A76Vd2-nOgci*_5|93?qDIz9OO+AwFgX8iZVdv8G=5v4!gMmsa=G34qM+Cu)b zkx6RMIN1H3=pTP^^)%WAq;c!p%=yQtEY?4F_|G@n;q}qVJETVhq^L_&cWD55*(SHk zJI`Z~H$~DMVZ`U{{T%-0U06!`)ax?c%l`Xym&B-l?%KwG&gi!k+G01^IOBeIBvF$q{_|sxVeqH8;6Kre z*o(a}eo^o&i~h)?K|4`@V_Ota&y`^QlD{2s z^Z#Hn_>Zki;^xsdgZ+v1k z@Zx-^r|h{Bw%^-5Um}hd@PYi0s+dPA%be|0mRDZ_UwZ4oJ5=WBrMo|LnE_uqyfpC7 z9{q%I%ik{`o?^t+Thv~pdxrSv)BcyCzjI~8orSD&^DujbdsMH#$Hs+H`+pv+q;c6o zFT7}+rmMpjduEUi)eiT&ktU7%om_b+gNskuamZidX-$k@zxowFJ9CAev~b;5`H&dzq@_#;DyMKo&^p1#gUD`96>iP7$ zz#l89oc=s@!>Qi8I}sOL)1zFBnJtNA^MeoR&K5#)MvP5APhx4QlP)jfzGU$Xub`je@g%iBd( z0AIFkB=qY{4Sh-8j4A_ssc&HeslBf5?%#;ld4@o~c4d4nG$IA;t4r6Nf6c-`;+uiK zgV65wz|}G084~ItxHY<)~2^1lw)orfqNzXa=}&5~#z$(h9u zA!m*)`JdKDezp?q^OsMNw@kIJ%Sn%leRdH282c6bBUP;?C?8XPB&Ss3x+UT*&?d;R3*_ojY>p!du40HSPP{O?0PUuRJ+ zn?Ho~vifZ*kR74kIQ=PyAaAJmJ-ofBzR8EfMCGS;;Oo$wek5<&+yo9pkt_4T-!cs2 zV+&hNBtAQl0rQ8gO1c~63+{ZDd7VdpMa?AZsos`Yz6$cACIMgk=jCUpUY6|c@HH}a z9`SXT`0sa&s|>%|zWZK!4s9nBPXP#{NrI z>*Ym$F`;cfRww(N+~+%0VRjJ7>pk@_4qLJB|Aa5`xEkz>(m|0VZ>qikKGiQ7Peb3i z{jh7r81zGC>okJw%coPGVETtHp#ZUC>eUj>Vx8<1M zs^Xkwq~E5#33+|3+ilouHQ*rWw+%c$^iJ*beM0|O>t3-Wudh#cah*04>x??)@&|tu zf&H?HoYoI|a@9LPl#hwOe=EKLU%Y2D@TLDf1$>z;X@CzA>fWcPhRj()cGz}<{LNZ@ zcJay4b`R-Ozi){FJ^o-NwbO-KIr&2;7f`*e{s?}w&lm1QyYKG&j5BZSkNJo?Tc}>_ zy1R?y`KsqGe|`DeCZ<>i9rv=eb_SQ&;-G{;J_0 zA#YkOM&7Welbj0mv@vr&A0Rm!Sr>W3Wc&y!a(Dle{BE{?%?1B^yYoviEIN?nMAP5V zZ#{YZ|Aa4f#?4Qb#vlE9bFY~Uw8t{w0tV~gA&d!m!iA>iv$y-GAb z`S%&fi?UfUuX&_~-%Z&mnEy7>1;m%9nY5ewAr{6ty`hi%NuOTpo^KUTBOSgnwgdVCG~S@l(jtNmDc6X{W{@@kSdp>v_1Ejtff*!vyeCv`li6Y*J$`~HV|a|C!} zDGU2RZqL%aMAdZn{y`p`$?;(^AmCr-ajEbmH=NL+;NrUZId!s7v-Ftz=JN3%*E&Qsu=XE;d{i5&rN}N@kx~- z&#$)yzEp<0z!&>zlEYV$o#>yr8ROQCZkLym9-Vvr4x;?G&(N>mpPi0!)3wlVTRi9% z>fwuS?)|K$>cyKV|5QAf{Abq2mLnXiJnsAXX7EwhU+%Mu^yr`6bM!LSou8{@UcMwR zGdIWQQ{DIm@WGn9`wObvXXGdKcPi}jRkG>r(?b)y94Q zOwLUYe6ejyk5fBSuMPB>%<<~#km(c6}|Ns5v zr+;<%IpUDRMWK7}gNbc>mgHrGyMHV*zPwI)#Q6~eC@w79O#D8K=kq!CPi()tZ>rv> zIZf?sxqH#DTkeR%$A$-}*SoLyp}xx}d>)gPrXl~SmyPd+lHN80LP@{*Z9mReS*ID0 zSBFQVf1-TL^nd-;%B_#;&hd>TCv6_=qZD)bQa^f*xU%%KpOPNE zWf(p`+Dz-+=f@j4U|*hT8cy=;b}#rx74CN#0Sr`1{*u<^_^GU-%UJI$7o?HRgU^yQID_^jI)oBmWqDzUvNGK9rQ7$Leo>Ls&hE_N3;qw{D{CYM zZurb7^j}`iKbhoZ=)ah6W=U%7n^m@}z>!(75a(ZV<*^3jAKBggzBL~ej(p1lZwJ6` zzeQI`kLOAd-*$OU=bxN&vA*jxBac9?MaJnw`RRhlFMMO+Go+z$i396? zCmiU%-0zR+@~0qg4sAvLva1H|M}N+_`^$V^kBOn4_N?BmRaDOg@54S#Zp#Jy+fH9B z@m1p!ZvT}w3i~e|>hAyPt8XumocSgHPNE`1Blv;mx&r+2TVAtK-@)Cd<>9G=sLZm= z0pHH8y%qdw=dgZ@fNqF~?KT*EeXl6;7Jrd>F||`Z?{^cm=WjdzY{+mrl;J|_n2(};9M%nUuf{RxS@Gy0^@B&% zx=&P;Zm7ubrd7`N6bBYG9=NkTl4AbYBF7G*{k_i@NZxZLXkY*LuNz`N22X@WoX|5k_Pa}WHlPe04eZDsS{S{Tl0?#VLV2qzNFOT?(jiWF=&-YI; zAMMXq`jZ{|eFgRrD)J8Im(4Zn8rADhqXS8=$r@aS#>p4>qknqQOyG-O9IyxdyEc6= zQQamZ@WX;XSSqurNw$$58@*;Is81~V&zk-FkjiF3(J7=??kI-mC)8c{`9VEefbrTh ze*V->M3o&$R38g*{a<`_o0q3-3ts6))CA?gK1vVF4!#`s5&20~yf}^cs=_e%Q$4Qd z4>Pr9j-@?DR{!QF-jM~|LeGiddlWvlQ9HRO7V}C3E&}|O6^RJrW(60l2Mjn@a{DCiCcJB((XJ-}!zGSIuz!&fR2J>EY z{9`@w#lySEk81vJ_ej4iJkF5c#2*Lo{HlHJ?oaa_?)NP8<16rkN}nu{p&{hoXOCN0#X%ucoYo-_7!d$4QUp zO3=Qkdf3?)6R|I_!R=3z9)3#35*1aBx^;8B+sBGxUc(Mkz1oTMU3H<2!{@?G=gFSP zvGFg^3FY8N`>Xr@gXwf1{nBmP0avP&=YtTnUs1*3V^A#CFWIdN&R5x>g%yxzek$hh zX=2e2`*INCq7EnCOY-XV3gE}&?0wJ6Q`Y_7E7Xt3hV{w}x(7bHp9A<(<%R-Zc4`Rl zW#+Vo|17H*M)Lgq+#r(IIZ7fwiEcjN%N;qfKJXTC8>t=pmJRE$+U5{~uJ^ZqJ)j$+%~^Fiv5qescEeCM+X_8)GYjPlb_&@W#m zcle5_=ZpH`fX$?|YCb+HEGjy_9GJ$$PE@@g>H)^C2;CFZ`zR)I@&P zDcYTYy$^prBt7ElQ{apHM*&~@+dbqj6IdShHNU-^+VPYb+_)PKaq<3veSKyy z*mvlEVlc1xpyp?xujA0$|EIlkkJG8z|M;3v86~+CO17qx{1D@IT&me4atV=Z=-AU3 zl*^bIWC$DM9%nF_Y0#{ugkj2MD8lTK`!$9Rq1oeB!guTF=)tU>1Y z@x0PUH)jX(otAmfr?sR@R5lU_iiR2-=ERNm-7CI`Rn1g@M;68N5`4t z)5`k^T=IT;V!f2pY0aQ7=eb+Zhx+7Xg7{O#&2#nM(21j^oc)fu{-ql?+$wQ3`vB%& z?fqweDX+V1fxX{s0Q&E49JD~n`B^(K-d5RJX8c1p;J9;p$75gN{!nhW*gNwkAm8s@ z^xRIfmy%J>`KenF{?+_0>4f_A&6-Q4yt||w_HBN_0F1wvZ1%5#>vm?Impm~_#z#$k zvWtw5w`U>7&v|5Wj@WyfhOY_>gu3E(%va#gJL+3~*wXYr=JXb^Q)Ak~k9{_GqQw2W z8w@|YnERmK$Xs)OyXrl-es90l4)*p3O*TmVR)rp$Bvf^`VSfBEvypGb{ytsℑ8j zlF+`(^Z4|BZQB zVS%`6{NmdZI>$a*f&8iF`AGMzewc6n+(GEjzQ6PyDHr&>BJ`ynY4J7UPga;GcJ|Vw zyV93G=uy+YOLbha^S)1-DWSW&p;dy7l1?V@Y&dZs7I=vl6virmYkE&Z?STq)T@4} z_LPL)2UXC1C*t`C$#)`8W=T8Tskda_T=KnZ+0d8MbVY`g)7Lhc{?Dt3 z_UmS?QsK8!*9tF4eyQ=ucRy?leK|X4b`n2s-t5g1I`uA^{Fgl(msXvwAB$fV|8a)o z>kxB)S-&%FouqpSN0P*^TlUe1r5=@R^rtV@&{E#+uyu-*v!cy&YHF3ymscS?2Kg0U+OFV`R#`qE9#8vh|}3@`tJAO7z*;NQ-SLwoE=Gn1qq zXU*3A61vwN=*wQ52z^-(ML=JclL&peZW8jHc0rK*AJs?Q|o%StUgAa-7l zB%{B`&Y==_-)v>{RpKi6Y;4|8+Na)* zfWGvEpGS);|jYOo3W7I*)POHkjAJd;1l{O+I%nlJ~t-88K<`cbXu{!h-Jg;L&X zRtjA55_W^f?uH_LRVg(R{*FC|<48ZWa#*&M4>$Vvwp9SX0?&Idlyp67>?8@*-@i5e zd;VF>iyO9h0{n!`#&O{ET!Z;nzjX$`bo6BK%X{PVZBkC3G5WI0jo&YE>*9_X;#W_% zP+#EBpCtYNdbu@%QNLBtV3F84`R5i$Xon2j2R{V^F#pz}hfj(h{p@F>Wqj<`-Mh;8 zIF)8VU;gE)IR4$`X8rbe{&rXTviA_W5Ne>RVp)+-z>MGZJ^K zNAdiGl~o_lPuTTCE+YM-Ia?9#O~?Mx^4|HE#MO*c)4yU9yGcCoJMo((wD$fEed%82 z`jY*?G_>D2TnK$RYfnR8{tsq<g79e%|I|;Fr~PAMCyTecwm(MX2tev;Y0 zt8{0V*t=u*Kwr9w+9KuLSaV*bjvd-3ag`jBAm!}nVDK{V=NmQ^zK_t7}+{Tin} z5PQE)={*vvbH#sv--}OSe$|Y6*x&nk*Ub52`$WUH{^>a0yx+dZJm_knI3N3~`n?y- z=O^v$kE8$o`AALqx*L6^4+QV*V%t`V zy`u}ESMRAb^v`nAdP=%({0wxVr))F&$~F0J=UJE^>*Db=_&>3+lIXyXGM_(jzxmA^ z*PFc7(hj};H%~&RrO}sj^6E5+`-g)J7Yc)yB7Way)bFev3_eD$kR1wyZT!AS}2oKj}Zog5dW!aKmp@!kXnQ_Q>LwjO;oeSotba{DHWf9pcka?(%hNIm4MdF#MOyVtw@#Lf!qYjm1r?%()lvpJE7s_7&2w?pht6!}Soiu&&Wp#+Rog-%D*aR>s|H)S)}(d7$~-Jl*jE`fZi& zjP|KFe!r{r(XFx?{;gM!FOhaz-_8C)LbcC>p54;RpkKAFoGEy(>ubq(s%EZ&{e{?1B{}`2bfMW_t9=VMO5D9!D+Tj@WCi%8l19Q_y_<^l(T{3o=5@oR zuf)HVWX{j*;;%u!_V**91Hb*^49VB~&Gk_`>LKXMyVVE!vVI6P`pPu*>%6+qh12UQ z^yBSW41L+NFQ9%a^#uI;H-CUm+}$H%rM>EsIe&Eu8_q+0-OkUF(79CmGYQ?M=J^Z% zU>J^n=aVv8?A(0w`!;@BcjJFgBh0t$oLUDzg?V!%v{E7s-&UtXUwT~>^yPFv1Dynl z+)-b8VmSQki6gMyJ6BI z-g;L{LSOdv%Xg(OJ@*9krJgp=HCr==ntkfco`cbjMWwz&z172U9-zM|0KfcenfQJt zw_`6eKGR}%N;x&uP0W_|hnVN!oe73N&dhIDOS*q59Qtx!w-C2C8GhK^Hf%zETzT-z zo7x}za%PNxe{Xl>8u9N}S@xEcv*vn6r@?0bB5vC)_p z71`08KW=S;_0cPBu75dKD_}mI_=)eqe_<%}rBluGU(V5z#(qjBj$`k>R^z3dmuk*m zy@A(Lq&|D?+peU$OW#>8ab3mm%li1hN{Kt`4yH@K+G*}HtKsJSQBSUYK+?T3b20yZ z`*`?sPnhp-aDMK&Pwf5tc&sn_p6D+n9(dhRU*6`IjJ`G&9nbTRuM#_Je$IBO&+hOF z_@%x~0>A7lx3K?mnp)78RrW#5yZ1mvjH_3wEx75FX>&sC1Ft*QuM!Gye7Jost&n={ zdUFiF3PYe5YfL-T@BSkN_4_wFnEOMWE1TzY)|=1w`JczEMZ2q3o-3jM#Qh&j{m%1I z=%4%gLhxBfnD75|zAup_`F3k_ebqYoHtO}ZhT!_Dd$T95uUaJr!QPGv2ESB?9xdVb ztM=HBS#yf?)jJpKqpGwL zxgEN;@Az7f8lgs4?;8~t8C$)nRsFesjjPwPs`rbI9Tpogq)&8g-zZ6cDPmAuR3JTW zK*Z3fK>V3{p>=Cnp-pO8^=s6!##sN4S1=m$zf=E*1Q>E$WCW-K>VP`naX=1`1LOcX zKn{=ttXsJLf`42}P9 zvy4ajJ*t8OB?9jfQnKjf2Hgrcdi8cDla4NYw_?Dnyv6d5mmAcmv{FMOVxxu(yPaMA z#06E9v?lPr{|}=;=mt%HNU7$rQG;%0wcz((AJY#iCGS65Z7HMFz^M4!cI(DH6Y3<6 z2vYLC?@x7o@Ptx>q9bot)d}6`NBc^UlJ}ph>i=GliWwep+iu0&d!^ 0 for d in range(5)]) + cf = ClothFrame(G["rig"], G["CV"], G["CF"], G["CW"], Sb, G["K"], G["V"], G["T"], v["C"][vi], list(range(5)), masks, G["par"], + prev=x.copy() if i > 0 else None) + x = cf.fit(x) + out["%d,%d" % (a, i)] = {"x": list(map(float, x)), "iou": float(cf.last["iou"]), "pen": float(cf.last["pen"])} + i += 1 + return out + + +if __name__ == "__main__": + P = json.load(open(POSES)); acts = sorted({int(k.split(",")[0]) for k in P}) + res = {}; t = time.time() + with Pool(4, initializer=setup) as pool: + for o in pool.imap_unordered(work, acts): + res.update(o) + print("%d frames mean IoU %.4f pen %.3f %.0fs" % (len(res), np.mean([q["iou"] for q in res.values()]), np.mean([q["pen"] for q in res.values()]), time.time() - t), flush=True) + json.dump(res, open(OUT, "w")) + print("done", ANIM, len(res), "frames mean IoU %.4f" % np.mean([q["iou"] for q in res.values()])) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/run_cloth_mounted.py b/third_party/UO_Model3D_v13/pipeline/body13/run_cloth_mounted.py new file mode 100644 index 0000000..6485f0b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/run_cloth_mounted.py @@ -0,0 +1,86 @@ +"""fit the cloth chains in the mounted actions (23-29): horse occlusion + no penetration of the horse proxy. +usage: run_cloth_mounted.py shape.json poses_mounted.json ANIM out.json""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, time, numpy as np +from multiprocessing import Pool +sys.path.insert(0, HERE) +SHAPE, POSES, ANIM, OUT = sys.argv[1], sys.argv[2], int(sys.argv[3]), sys.argv[4] +from cloth13 import make_cloth, KINDS +G = {} +W_PEN_M = float(sys.argv[sys.argv.index("--w_pen") + 1]) if "--w_pen" in sys.argv else 3.0 # leg penetration weight +W_HORSE_M = float(sys.argv[sys.argv.index("--w_horse") + 1]) if "--w_horse" in sys.argv else 3.0 +REG_M = float(sys.argv[sys.argv.index("--reg") + 1]) if "--reg" in sys.argv else 0.002 # pull to the thigh start + + +def setup(): + from shape13 import Shape, load_params + from skel13 import Skel13 + import fastr + from itemframes import load + r = np.load("rig_poses.npz"); v = np.load("views_mounted.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params(SHAPE), full=True); V = Vf[S.used] + K = Skel13(S, r["R"], r["parent"], bones, Vf) + rig, CV, CF, CW, top, par = make_cloth(K, V, *KINDS[ANIM], faces=S.faces) + G.update(r=r, v=v, V=V, K=K, T=fastr.tris_of(S.faces), rig=rig, CV=CV, CF=CF, CW=CW, par=par, it=load(ANIM), + P=json.load(open(POSES)), hs=np.load("horse_sdf.npz"), hm=np.load("horse.npz"), + vk={tuple(int(x) for x in k): n for n, k in enumerate(v["keys"])}, fk={tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])}) + + +def thigh_init(rig, K, Sb): + """skirt on horseback: front / side chains start along the thigh of their side, the back ones hang down""" + from cloth13 import rotxz + if rig.prefix != "skirt": + return np.zeros(len(rig.names) * 2) + x = np.zeros((rig.nc, rig.ns, 2)) + pb = K.ix["pelvis"]; Ppel = Sb[pb] @ K.R[pb]; base = Ppel @ np.linalg.inv(K.R[pb]) + for k in range(rig.nc): + b0 = rig.bone(k, 0); R0 = base @ rig.R[b0] + out = rig.R[b0][:3, 2] # outward (rest) + if out[1] > 0.5: # back of the skirt: hang down + continue + side = ".L" if out[0] >= 0 else ".R" + th = K.ix["thigh" + side]; d = (Sb[th] @ K.R[th])[:3, 1] + if abs(out[0]) < 0.3: # front middle: between both thighs + d = d + (Sb[K.ix["thigh.R" if side == ".L" else "thigh.L"]] @ K.R[K.ix["thigh.R" if side == ".L" else "thigh.L"]])[:3, 1] + t = np.linalg.inv(R0[:3, :3]) @ (d / np.linalg.norm(d)) + az = np.arcsin(np.clip(-t[0], -1, 1)); ax = np.arctan2(t[2], t[1]) + x[k, 0] = (ax, az) + return x.ravel() + + +def work(a): + from posefit13 import Frame13 + from clothfit import MountedClothFrame + from itemframes import canvas + r, v = G["r"], G["v"]; out = {}; x = np.zeros(len(G["rig"].names) * 2) + i = 0 + while "%d,%d" % (a, i) in G["P"]: + f = G["fk"][(a, i)]; tag = "%d_%d" % (a, i) + fr = Frame13(G["K"], None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + Sb = fr.skin(np.array(G["P"]["%d,%d" % (a, i)]["x"])) + vi = [G["vk"][(a, i, d)] for d in range(5)] + masks = np.array([canvas(G["it"].get((a, d)), i)[..., 3] > 0 for d in range(5)]) + cf = MountedClothFrame(G["rig"], G["CV"], G["CF"], G["CW"], Sb, G["K"], G["V"], G["T"], v["C"][vi], list(range(5)), masks, G["par"], + prev=x.copy() if i > 0 else None, HV=G["hm"]["v_" + tag], HT=G["hm"]["t_" + tag], + sdf=G["hs"]["g_" + tag], lo=G["hs"]["lo_" + tag], w_pen=W_PEN_M, w_horse=W_HORSE_M) + xi = thigh_init(G["rig"], G["K"], Sb) + if G["rig"].prefix == "skirt": + cf.xref = xi; cf.reg = REG_M + cands = [xi] + ([x] if i > 0 else []) + x = max(cands, key=lambda c: cf.eval(c)[0]) + x = cf.fit(x) + out["%d,%d" % (a, i)] = {"x": list(map(float, x)), "iou": float(cf.last["iou"]), "pen": float(cf.last["pen"]), "hpen": float(cf.last["hpen"])} + i += 1 + return out + + +if __name__ == "__main__": + P = json.load(open(POSES)); acts = sorted({int(k.split(",")[0]) for k in P}) + res = {}; t = time.time() + with Pool(4, initializer=setup) as pool: + for o in pool.imap_unordered(work, acts): + res.update(o) + print("%d frames mean IoU %.4f horse pen %.3f %.0fs" % (len(res), np.mean([q["iou"] for q in res.values()]), np.mean([q["hpen"] for q in res.values()]), time.time() - t), flush=True) + json.dump(res, open(OUT, "w")) + print("done", ANIM, len(res), "frames mean IoU %.4f" % np.mean([q["iou"] for q in res.values()])) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/run_mounted13.py b/third_party/UO_Model3D_v13/pipeline/body13/run_mounted13.py new file mode 100644 index 0000000..868f4ff --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/run_mounted13.py @@ -0,0 +1,48 @@ +"""refit every mounted frame (actions 23-29) on the 55-bone rig with horse occlusion + no-penetration. +usage: run_mounted13.py shape.json out.json [--init poses.json]""" +import sys, json, time, numpy as np +from multiprocessing import Pool +SHAPE, OUT = sys.argv[1], sys.argv[2] +INIT = sys.argv[sys.argv.index("--init") + 1] if "--init" in sys.argv else None +G = {} + +def setup(): + from shape13 import Shape, load_params + from skel13 import Skel13 + import fastr + r = np.load("rig_poses.npz"); v = np.load("views_mounted.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones) + Vf = S.build(load_params(SHAPE), full=True); V = Vf[S.used] + K = Skel13(S, r["R"], r["parent"], bones, Vf) + idx, w = fastr.sparse_weights(K.SW); T = fastr.tris_of(S.faces) + legs = [K.ix[n] for n in K.names if n.startswith(("thigh", "shin", "foot", "toe", "pelvis"))] + G.update(r=r, v=v, V=V, K=K, idx=idx, w=w, T=T, vk={tuple(k): n for n, k in enumerate(v["keys"])}, + pen_sel=np.nonzero(K.SW[:, legs].sum(1) > 0.5)[0], hs=np.load("horse_sdf.npz"), hm=np.load("horse.npz"), + init=json.load(open(INIT)) if INIT else {}) + +def work(key): + from mounted import MountedFrame + a, i = key; r, v = G["r"], G["v"] + f = [n for n, k in enumerate(r["keys"]) if tuple(k) == (a, i)][0] + vi = [G["vk"][(a, i, d)] for d in range(5)]; tag = "%d_%d" % (a, i) + fr = MountedFrame(G["K"], G["V"], G["idx"], G["w"], G["T"], r["Brel"], v["C"][vi], v["masks"][vi], list(range(5)), r["loc"][f], r["quat"][f], + HV=G["hm"]["v_" + tag], HT=G["hm"]["t_" + tag], sdf=G["hs"]["g_" + tag], lo=G["hs"]["lo_" + tag], pen_sel=G["pen_sel"]) + k = "%d,%d" % (a, i) + x0 = np.array(G["init"][k]["x"]) if k in G["init"] else None + fr.eval(fr.L.zero() if x0 is None else x0); p0 = fr.last_pen + x, i0, i1, res = fr.fit(x0=x0); fr.eval(x) + return k, {"x": list(map(float, x)), "iou0": float(i0), "iou": float(i1), "res": res.tolist(), "pen0": float(p0), "pen": float(fr.last_pen)} + +if __name__ == "__main__": + v = np.load("views_mounted.npz") + keys = sorted({(int(a), int(i)) for a, i, d in v["keys"]}) + out = {}; t = time.time() + with Pool(4, initializer=setup) as pool: + for n, (k, rr) in enumerate(pool.imap_unordered(work, keys)): + out[k] = rr + if n % 10 == 0: + print("%d/%d mean IoU %.4f -> %.4f pen %.3f -> %.3f %.0fs" % (n + 1, len(keys), np.mean([o["iou0"] for o in out.values()]), + np.mean([o["iou"] for o in out.values()]), np.mean([o["pen0"] for o in out.values()]), np.mean([o["pen"] for o in out.values()]), time.time() - t), flush=True) + json.dump(out, open(OUT, "w")) + print("done %d frames mean IoU %.4f -> %.4f pen %.3f -> %.3f %.0fs" % (len(out), np.mean([o["iou0"] for o in out.values()]), np.mean([o["iou"] for o in out.values()]), + np.mean([o["pen0"] for o in out.values()]), np.mean([o["pen"] for o in out.values()]), time.time() - t)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/run_poses.py b/third_party/UO_Model3D_v13/pipeline/body13/run_poses.py new file mode 100644 index 0000000..8bfa5ca --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/run_poses.py @@ -0,0 +1,43 @@ +"""refit the pose of every non-mounted frame (multiprocessing). usage: run_poses.py shape.json out.json [--init poses.json] [--girth]""" +import sys, json, time, numpy as np +from multiprocessing import Pool +SHAPE, OUT = sys.argv[1], sys.argv[2] +INIT = sys.argv[sys.argv.index("--init") + 1] if "--init" in sys.argv else None +GIRTH = "--girth" in sys.argv +G = {} + +def setup(): + from shape13 import Shape, PARTS, unflat, load_params + import fastr + r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones) + V = np.load(SHAPE)["V"] if SHAPE.endswith(".npz") else S.build(load_params(SHAPE)) + W13 = np.zeros((len(V), len(bones))) + for j, q in enumerate(PARTS): W13[:, bones.index(q)] = S.PW[S.used][:, j] + idx, w = fastr.sparse_weights(W13); T = fastr.tris_of(S.faces) + G.update(r=r, v=v, V=V, idx=idx, w=w, T=T, vk={tuple(k): n for n, k in enumerate(v["keys"])}, + init=json.load(open(INIT)) if INIT else {}) + +def work(key): + from posefit import Frame + a, i = key; r, v = G["r"], G["v"] + f = [n for n, k in enumerate(r["keys"]) if tuple(k) == (a, i)][0] + vi = [G["vk"][(a, i, d)] for d in range(5)] + fr = Frame(G["V"], G["idx"], G["w"], G["T"], r["R"], r["parent"], r["Brel"], v["C"][vi], v["masks"][vi], list(range(5)), + r["loc"][f], r["quat"][f], movable=[True] * len(r["bones"])) + x0 = np.array(G["init"]["%d,%d" % (a, i)]["x"]) if "%d,%d" % (a, i) in G["init"] else None + t = time.time(); x, i0, i1, res = fr.fit(girth=GIRTH, x0=x0) + return "%d,%d" % (a, i), {"x": list(map(float, x)), "iou0": float(i0), "iou": float(i1), "res": res.tolist()} + +if __name__ == "__main__": + v = np.load("views_all.npz") + keys = sorted({(int(a), int(i)) for a, i, d in v["keys"]}) + out = {}; t = time.time() + with Pool(4, initializer=setup) as pool: + for n, (k, rr) in enumerate(pool.imap_unordered(work, keys)): + out[k] = rr + if n % 20 == 0: + print("%d/%d mean IoU %.4f -> %.4f %.0fs" % (n + 1, len(keys), np.mean([o["iou0"] for o in out.values()]), + np.mean([o["iou"] for o in out.values()]), time.time() - t), flush=True) + json.dump(out, open(OUT, "w")) + print("done %d frames mean IoU %.4f -> %.4f %.0fs" % (len(out), np.mean([o["iou0"] for o in out.values()]), np.mean([o["iou"] for o in out.values()]), time.time() - t)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/run_poses13.py b/third_party/UO_Model3D_v13/pipeline/body13/run_poses13.py new file mode 100644 index 0000000..7fa095f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/run_poses13.py @@ -0,0 +1,53 @@ +"""refit every non-mounted frame on the 55-bone rig. usage: run_poses13.py shape.json out.json [--init poses.json] [--fix-extra] [--frames a,i;a,i]""" +import sys, json, time, numpy as np +from multiprocessing import Pool +SHAPE, OUT = sys.argv[1], sys.argv[2] +INIT = sys.argv[sys.argv.index("--init") + 1] if "--init" in sys.argv else None +G = {} + +def setup(): + from shape13 import Shape, load_params + from skel13 import Skel13 + import fastr + r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones) + Vf = S.build(load_params(SHAPE), full=True); V = Vf[S.used] + K = Skel13(S, r["R"], r["parent"], bones, Vf) + idx, w = fastr.sparse_weights(K.SW); T = fastr.tris_of(S.faces) + G.update(r=r, v=v, V=V, K=K, idx=idx, w=w, T=T, vk={tuple(k): n for n, k in enumerate(v["keys"])}, + init=json.load(open(INIT)) if INIT else {}) + +def convert(x, L, names): + """old 19-bone layout (rot, loc, girth for all 19) -> 55-bone layout""" + if len(x) == L.size: return np.array(x) + y = L.zero(); x = np.array(x); y[:60] = x[:60] + if len(x) > 60: + g = x[60:].reshape(19, 2) + for k, b in enumerate(L.gi): y[L.o_g + 2 * k:L.o_g + 2 * k + 2] = g[b] + return y + +def work(key): + from posefit13 import Frame13 + a, i = key; r, v = G["r"], G["v"] + f = [n for n, k in enumerate(r["keys"]) if tuple(k) == (a, i)][0] + vi = [G["vk"][(a, i, d)] for d in range(5)] + fr = Frame13(G["K"], G["V"], G["idx"], G["w"], G["T"], r["Brel"], v["C"][vi], v["masks"][vi], list(range(5)), r["loc"][f], r["quat"][f]) + k = "%d,%d" % (a, i) + x0 = convert(G["init"][k]["x"], fr.L, G["K"].names) if k in G["init"] else None + x, i0, i1, res = fr.fit(x0=x0, fix_extra="--fix-extra" in sys.argv) + return k, {"x": list(map(float, x)), "iou0": float(i0), "iou": float(i1), "res": res.tolist()} + +if __name__ == "__main__": + v = np.load("views_all.npz") + keys = sorted({(int(a), int(i)) for a, i, d in v["keys"]}) + if "--frames" in sys.argv: + keys = [tuple(map(int, s.split(","))) for s in sys.argv[sys.argv.index("--frames") + 1].split(";")] + out = {}; t = time.time() + with Pool(4, initializer=setup) as pool: + for n, (k, rr) in enumerate(pool.imap_unordered(work, keys)): + out[k] = rr + if n % 20 == 0 or len(keys) < 20: + print("%d/%d mean IoU %.4f -> %.4f %.0fs" % (n + 1, len(keys), np.mean([o["iou0"] for o in out.values()]), + np.mean([o["iou"] for o in out.values()]), time.time() - t), flush=True) + json.dump(out, open(OUT, "w")) + print("done %d frames mean IoU %.4f -> %.4f %.0fs" % (len(out), np.mean([o["iou0"] for o in out.values()]), np.mean([o["iou"] for o in out.values()]), time.time() - t)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/shape13.py b/third_party/UO_Model3D_v13/pipeline/body13/shape13.py new file mode 100644 index 0000000..baa9ede --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/shape13.py @@ -0,0 +1,242 @@ +"""v13 body shape generator (pure numpy, no Blender): MakeHuman male -> UO proportions with tunable multipliers. + +Same construction as mh_stage1.py (limb segment transforms, torso height map, neck, head, blended with the MakeHuman +part weights), plus parameters on top of the measured values: + limb girth at the proximal / distal end (linear along the bone), two radial axes (side / front-back), + torso width / depth / centre per height level, neck width / depth, head scale. +build(params) -> (N,3) vertices in UO_Body local space (rest pose of the v12 skeleton). +""" +import json, numpy as np +from scipy.spatial import cKDTree +from mhlib import load_mh, MH + +LIMBS = ["upper_arm", "forearm", "hand", "thigh", "shin", "foot"] +NLEV = 7 +PARTS = ["pelvis", "spine", "chest", "neck", "head"] + [p + s for s in (".L", ".R") for p in ("clavicle", "upper_arm", "forearm", "hand", "thigh", "shin", "foot")] +PI = {p: i for i, p in enumerate(PARTS)} + + +def default_params(): + p = {} + for l in LIMBS: + p[l] = np.array([1.0, 1.0, 1.0, 1.0]) # girth proximal side, distal side, proximal front, distal front + p["tw"] = np.ones(NLEV); p["td"] = np.ones(NLEV); p["tc"] = np.zeros(NLEV) # torso width, depth, centre shift (m) + p["neck"] = np.array([1.0, 1.0]); p["head"] = np.array([1.0]) + p["head3"] = np.array([1.0, 1.0, 1.0]) # head width, depth, height on top of the head scale + p["footl"] = np.array([1.0]) # foot length + return p + + +OLD_KEYS = ["foot", "forearm", "hand", "head", "neck", "shin", "tc", "td", "thigh", "tw", "upper_arm"] + + +def load_params(fn): + """json with {"p": {key: values}} or the old {"x": [...]} layout""" + j = json.load(open(fn)); p = default_params() + if "p" in j: + for k, val in j["p"].items(): p[k] = np.array(val, float) + else: + i = 0 + for k in OLD_KEYS: + n = np.size(p[k]); p[k] = np.array(j["x"][i:i + n], float); i += n + return p + + +def save_params(fn, p, **extra): + json.dump(dict(p={k: np.ravel(val).tolist() for k, val in p.items()}, **extra), open(fn, "w"), indent=0) + + +def flat(p): + return np.concatenate([np.ravel(p[k]) for k in sorted(p)]) + + +def unflat(x, like=None): + like = like or default_params(); out = {}; i = 0 + for k in sorted(like): + n = np.size(like[k]); out[k] = np.array(x[i:i + n], float).reshape(np.shape(like[k])); i += n + return out + + +class Shape: + def __init__(self, U, BV, BDOM, bones, muscle=0.6): + """U: (19,2,3) UO bone head/tail rest (body space) in the order of `bones`; BV / BDOM: v12 basis mesh + dominant group""" + U = {b: (U[i][0], U[i][1]) for i, b in enumerate(bones)} + self.U = U + P, F, B, W = load_mh(muscle=muscle) + self.P = P + body_verts = sorted({i for f in F for i in f}); self.used = np.array(body_verts) + PW = np.zeros((len(P), len(PARTS))) + for b, lst in W.items(): + j = PI[self.part_of(b)] + for vi, w in lst: + PW[vi, j] += w + noW = np.nonzero(PW.sum(1) < 1e-6)[0] + if len(noW): + kd = cKDTree(P[body_verts]); _, nn = kd.query(P[noW]) + PW[noW] = PW[np.array(body_verts)[nn]] + PW /= np.maximum(PW.sum(1, keepdims=True), 1e-9) + self.PW = PW + MDOM = np.array([PARTS[i] for i in PW.argmax(1)]) + remap = {o: n for n, o in enumerate(body_verts)} + self.faces = [[remap[i] for i in f] for f in F] + J = lambda b, e="head": B[b][0] if e == "head" else B[b][1] + self.J = J + TORSO = ("pelvis", "spine", "chest", "clavicle.L", "clavicle.R") + self.mh_top = P[body_verts, 2].max(); self.uo_top = BV[:, 2].max() + self.mh_hip = 0.5 * (J("upperleg01.L")[2] + J("upperleg01.R")[2]); self.uo_hip = 0.5 * (U["thigh.L"][0][2] + U["thigh.R"][0][2]) + self.mh_sh = 0.5 * (J("upperarm01.L")[2] + J("upperarm01.R")[2]); self.uo_sh = 0.5 * (U["upper_arm.L"][0][2] + U["upper_arm.R"][0][2]) + self.mh_hj = J("head")[2] + # ------------------------------------------------ limbs (measured girth from the v12 mesh, like stage 1) + CAP = {"upper_arm": (0.35, 0.75, 0.10), "forearm": (0.25, 0.75, 0.09), "hand": (0.2, 0.7, 0.07), + "thigh": (0.3, 0.8, 0.13), "shin": (0.2, 0.8, 0.10), "foot": (0.2, 0.8, 0.08)} + self.LIMB = {} + X = P[body_verts] + for part in PARTS: + base = part.split(".")[0] + if base not in CAP: + continue + am, bm = self.seg_mh(part, MDOM, body_verts); au, bu = U[part] + R = rot_between(bm - am, bu - au) + s_len = np.linalg.norm(bu - au) / np.linalg.norm(bm - am) + du = (bu - au) / np.linalg.norm(bu - au) + # second radial axis: 'front' = the body -Y direction made perpendicular to the bone, 'side' = the rest + fr = np.array([0.0, -1.0, 0.0]) - du * (-du[1]); + if np.linalg.norm(fr) < 0.3: + fr = np.array([0.0, 0.0, 1.0]) - du * du[2] + fr /= np.linalg.norm(fr); sd = np.cross(du, fr) + t0, t1, cap = CAP[base] + Y = (X - am) @ R.T; t = Y @ du; Y = au + Y + np.outer(t, du) * (s_len - 1) + rm, tm = radial(Y, au, bu); ru, tu = radial(BV, au, bu) + km = (tm > t0) & (tm < t1) & (rm < cap); ku = (tu > t0) & (tu < t1) & (ru < cap) + s_rad = float(np.median(ru[ku]) / max(np.median(rm[km]), 1e-6)) if km.sum() > 5 and ku.sum() > 5 else 1.0 + s_rad = float(np.clip(s_rad, 0.7, 1.8)) + self.LIMB[part] = (am, au, R, du, s_len, s_rad, np.linalg.norm(bu - au), sd, fr) + # ------------------------------------------------ torso levels + armw = sum(PW[:, PI[p]] for p in self.LIMB if p.startswith(("upper_arm", "forearm", "hand"))) + tm_idx = np.array([i for i in body_verts if MDOM[i] in TORSO and armw[i] < 0.05]) + d = np.full(len(BV), np.inf) + for s in (".L", ".R"): + for b in ("upper_arm", "forearm"): + r, t = radial(BV, *U[b + s]); d = np.minimum(d, np.where((t > -0.1) & (t < 1.1), r, np.inf)) + tu_idx = np.nonzero(d > 0.08)[0] + tu_idx = tu_idx[np.isin(BDOM[tu_idx], ["pelvis", "spine", "chest", "thigh.L", "thigh.R"])] + self.LEV = np.linspace(self.uo_hip - 0.02, self.uo_sh - 0.02, NLEV) + zt_m = self.torso_z(P[tm_idx, 2]) + SX, SY, CY, MC = [], [], [], [] + for z in self.LEV: + mm = np.abs(zt_m - z) < 0.03; uu = np.abs(BV[tu_idx, 2] - z) < 0.03 + xm = np.percentile(np.abs(P[tm_idx[mm], 0]), 95); xu = np.percentile(np.abs(BV[tu_idx[uu], 0]), 95) + ym = P[tm_idx[mm], 1]; yu = BV[tu_idx[uu], 1] + SX.append(xu / xm); SY.append((np.percentile(yu, 97) - np.percentile(yu, 3)) / (np.percentile(ym, 97) - np.percentile(ym, 3))) + MC.append(0.5 * (np.percentile(ym, 97) + np.percentile(ym, 3))); CY.append(0.5 * (np.percentile(yu, 97) + np.percentile(yu, 3))) + self.SX, self.SY, self.CY, self.MC = map(np.array, (SX, SY, CY, MC)) + # ------------------------------------------------ head + hu = np.nonzero(BDOM == "head")[0]; hm = np.array([i for i in body_verts if MDOM[i] == "head"]) + hu_top = BV[hu, 2].max(); hm_top = P[hm, 2].max() + wu = np.percentile(np.abs(BV[hu[BV[hu, 2] > hu_top - 0.12], 0]), 97); wm = np.percentile(np.abs(P[hm[P[hm, 2] > hm_top - 0.11], 0]), 97) + self.s_head = float(np.clip(wu / wm, 0.8, 1.6)) + self.cyu = 0.5 * (np.percentile(BV[hu, 1], 97) + np.percentile(BV[hu, 1], 3)); self.cym = 0.5 * (np.percentile(P[hm, 1], 97) + np.percentile(P[hm, 1], 3)) + # parts that actually move each vertex + self.sel = {p: np.nonzero(PW[:, PI[p]] > 1e-6)[0] for p in PARTS} + self.sel_all = dict(self.sel) + self.sel = {p: s[np.isin(s, self.used)] for p, s in self.sel.items()} + + @staticmethod + def part_of(b): + side = "." + b.split(".")[-1] if b.endswith((".L", ".R")) else "" + if b.startswith(("root", "spine05", "pelvis")): return "pelvis" + if b.startswith(("spine04", "spine03")): return "spine" + if b.startswith(("spine02", "spine01", "breast")): return "chest" + if b.startswith(("clavicle", "shoulder01")): return "clavicle" + side + if b.startswith("neck"): return "neck" + if b.startswith("upperarm"): return "upper_arm" + side + if b.startswith("lowerarm"): return "forearm" + side + if b.startswith(("wrist", "metacarpal", "finger")): return "hand" + side + if b.startswith("upperleg"): return "thigh" + side + if b.startswith("lowerleg"): return "shin" + side + if b.startswith(("foot", "toe")): return "foot" + side + return "head" + + def seg_mh(self, part, MDOM, body_verts): + J = self.J; P = self.P + s = part[-2:]; base = part[:-2] + if base == "upper_arm": return J("upperarm01" + s), J("lowerarm01" + s) + if base == "forearm": return J("lowerarm01" + s), J("wrist" + s) + if base == "hand": return J("wrist" + s), J("finger3-3" + s, "tail") + if base == "thigh": return J("upperleg01" + s), J("lowerleg01" + s) + if base == "shin": return J("lowerleg01" + s), J("foot" + s) + if base == "foot": + fv = np.array([i for i in body_verts if MDOM[i] == "foot" + s]) + tip = P[fv[np.argmin(P[fv, 1])]] + return J("foot" + s), np.array([J("foot" + s)[0], tip[1], tip[2]]) + raise KeyError(part) + + def torso_z(self, z): + return zmap(z, np.array([self.mh_hip, self.mh_sh]), np.array([self.uo_hip, self.uo_sh])) + + # ------------------------------------------------ transforms + def T_limb(self, part, X, g): + am, au, R, du, s_len, s_rad, L, sd, fr = self.LIMB[part] + Y = (X - am) @ R.T + t = Y @ du + Yr = Y - np.outer(t, du) + if part.startswith("foot"): + s_len = s_len * g[4] + tt = np.clip(t * s_len / L, 0, 1) + gs = s_rad * (g[0] + (g[1] - g[0]) * tt); gf = s_rad * (g[2] + (g[3] - g[2]) * tt) + a = Yr @ sd; b = Yr @ fr + return au + np.outer(t * s_len, du) + np.outer(a * gs, sd) + np.outer(b * gf, fr) + + def T_torso(self, X, p): + z = self.torso_z(X[:, 2]) + sx = np.interp(z, self.LEV, self.SX * p["tw"]); sy = np.interp(z, self.LEV, self.SY * p["td"]) + cm = np.interp(z, self.LEV, self.MC); cu = np.interp(z, self.LEV, self.CY + p["tc"]) + return np.stack([X[:, 0] * sx, cu + (X[:, 1] - cm) * sy, z], 1) + + def T_head(self, X, p): + s = self.s_head * p["head"][0]; h3 = p["head3"] + return np.stack([X[:, 0] * s * h3[0], self.cyu + (X[:, 1] - self.cym) * s * h3[1], self.uo_top + (X[:, 2] - self.mh_top) * s * h3[2]], 1) + + def T_neck(self, X, p): + s = self.s_head * p["head"][0] * p["head3"][2] + hb = self.uo_top - (self.mh_top - self.mh_hj) * s + z = zmap(X[:, 2], np.array([self.mh_sh, self.mh_hj]), np.array([self.uo_sh, hb])) + tw, td, tc = p["tw"][-1], p["td"][-1], p["tc"][-1] + return np.stack([X[:, 0] * self.SX[-1] * tw * p["neck"][0], self.CY[-1] + tc + (X[:, 1] - self.MC[-1]) * self.SY[-1] * td * p["neck"][1], z], 1) + + def build(self, p=None, full=False): + p = p or default_params() + P = self.P; OUT = np.zeros_like(P) + for part in PARTS: + s = (self.sel_all if full else self.sel)[part] + if not len(s): + continue + w = self.PW[s, PI[part]] + base = part.split(".")[0] + if part in self.LIMB: Y = self.T_limb(part, P[s], np.r_[p[base], p["footl"]] if base == "foot" else p[base]) + elif part == "neck": Y = self.T_neck(P[s], p) + elif part == "head": Y = self.T_head(P[s], p) + else: Y = self.T_torso(P[s], p) + OUT[s] += w[:, None] * Y + return OUT if full else OUT[self.used] + + +def zmap(z, zs_m, zs_u): + return np.where(z < zs_m[0], zs_u[0] + (z - zs_m[0]) * (zs_u[1] - zs_u[0]) / (zs_m[1] - zs_m[0]), + np.where(z > zs_m[-1], zs_u[-1] + (z - zs_m[-1]) * (zs_u[-1] - zs_u[-2]) / (zs_m[-1] - zs_m[-2]), np.interp(z, zs_m, zs_u))) + + +def rot_between(a, b): + a = a / np.linalg.norm(a); b = b / np.linalg.norm(b) + v = np.cross(a, b); c = float(a @ b) + if np.linalg.norm(v) < 1e-9: + return np.eye(3) + vx = np.array([[0, -v[2], v[1]], [v[2], 0, -v[0]], [-v[1], v[0], 0]]) + return np.eye(3) + vx + vx @ vx * (1 / (1 + c)) + + +def radial(X, a, b): + d = (b - a) / np.linalg.norm(b - a) + rel = X - a + t = rel @ d + return np.linalg.norm(rel - np.outer(t, d), axis=1), t / np.linalg.norm(b - a) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/shape_r2.json b/third_party/UO_Model3D_v13/pipeline/body13/shape_r2.json new file mode 100644 index 0000000..2ed8870 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/shape_r2.json @@ -0,0 +1,83 @@ +{ +"p": { +"foot": [ +1.2550000000000003, +1.2550000000000003, +1.1500000000000001, +1.1950000000000003 +], +"footl": [ +0.97 +], +"forearm": [ +1.2050000000000003, +1.235, +1.2100000000000002, +1.2100000000000002 +], +"hand": [ +1.1400000000000001, +1.11, +1.11, +1.08 +], +"head": [ +1.06 +], +"head3": [ +1.02, +1.02, +1.03 +], +"neck": [ +1.03, +1.0 +], +"shin": [ +0.8799999999999999, +0.9349999999999999, +0.8999999999999999, +0.8799999999999999 +], +"tc": [ +0.0, +0.0, +0.0, +0.0, +0.0, +0.0, +0.0 +], +"td": [ +0.955, +0.985, +1.0, +1.0, +1.0, +1.0, +1.0 +], +"thigh": [ +1.0625000000000002, +1.1475000000000002, +0.9974999999999999, +1.0825 +], +"tw": [ +0.9249999999999999, +0.9625, +0.9925, +1.0, +1.0, +1.0, +1.0 +], +"upper_arm": [ +1.1475000000000002, +1.1075000000000002, +1.2325, +1.1625 +] +}, +"iou": 0.886740051965023 +} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/shield_heater.json b/third_party/UO_Model3D_v13/pipeline/body13/shield_heater.json new file mode 100644 index 0000000..8376fb3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/shield_heater.json @@ -0,0 +1,17 @@ +{ + "anim": 582, + "bone": "forearm.L", + "centre": [ + -0.06999999999999999, + 0.21003260906299165, + -0.03 + ], + "normal": [ + -0.99622020111851, + -0.07986807405616936, + 0.034152622592618614 + ], + "radius": 0.41999999999999993, + "stretch": 1.3000000000000003, + "iou": 0.45303569796511023 +} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/shieldfit.py b/third_party/UO_Model3D_v13/pipeline/body13/shieldfit.py new file mode 100644 index 0000000..e9575f8 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/shieldfit.py @@ -0,0 +1,77 @@ +"""calibrate a shield (disc) on the left forearm from the original UO shield frames (anim.mul, heater 582): +centre + normal + radius in the forearm's local frame, one for all frames, maximising the IoU with the sprite. +usage: shieldfit.py anim bone out.json""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, numpy as np +sys.path.insert(0, HERE) +from itemframes import load, canvas +from shape13 import Shape, load_params +from skel13 import Skel13 +from posefit13 import Frame13 +from fk import rig_world +from fastr import raster_one + +ANIM, BONE, OUT = int(sys.argv[1]), sys.argv[2], sys.argv[3] +POSES = sys.argv[sys.argv.index("--poses") + 1] if "--poses" in sys.argv else "poses13_r3.json" +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) +S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params("shape_r2.json"), full=True) +K = Skel13(S, r["R"], r["parent"], bones, Vf); P = json.load(open(POSES)) +fk = {tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])} +it = load(ANIM); b = K.ix[BONE] +Ms, masks = [], []; cache = {} +for n, k in enumerate(v["keys"]): + a, i, d = (int(x) for x in k) + m = canvas(it.get((a, d)), i)[..., 3] > 0 + if not m.any() or "%d,%d" % (a, i) not in P: continue + if (a, i) not in cache: + f = fk[(a, i)] + fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + cache[(a, i)] = fr.skin(np.array(P["%d,%d" % (a, i)]["x"]))[b] @ K.R[b] + Ms.append(v["C"][n] @ rig_world(d) @ cache[(a, i)]); masks.append(m) +Ms = np.array(Ms); masks = np.array(masks); print("views with the shield", len(Ms)) +NB = 32; FAN = np.array([[0, 1 + k, 1 + (k + 1) % NB] for k in range(NB)], np.int32) + + +def disc(c, nrm, rad, sx=1.0): + nrm = nrm / np.linalg.norm(nrm); a = np.cross(nrm, [0, 1, 0]); + if np.linalg.norm(a) < 1e-3: a = np.cross(nrm, [1, 0, 0]) + a /= np.linalg.norm(a); b_ = np.cross(nrm, a) + t = np.linspace(0, 2 * np.pi, NB, endpoint=False) + return np.vstack([c, c + rad * (np.outer(np.cos(t), a) * sx + np.outer(np.sin(t), b_))]) + + +def score(x, sel=slice(None)): + c = x[:3]; nrm = np.array([np.sin(x[3]) * np.cos(x[4]), np.sin(x[3]) * np.sin(x[4]), np.cos(x[3])]) + D = disc(c, nrm, x[5], x[6]); Dh = np.c_[D, np.ones(len(D))] + tot = 0.0; MM = Ms[sel]; mm = masks[sel] + for k in range(len(MM)): + h = Dh @ MM[k].T; Sxy = np.stack([(h[:, 0] + 1) * 68.0, (1 - h[:, 1]) * 60.0], 1) + img = np.zeros((120, 136), np.bool_); raster_one(Sxy, FAN, img) + tot += (img & mm[k]).sum() / max((img | mm[k]).sum(), 1) + return tot / len(MM) + + +# start: forearm middle, pushed out along -Z (back of the forearm), facing out +L = np.linalg.norm(K.R[K.ix[BONE.replace("forearm", "hand")]][:3, 3] - K.R[b][:3, 3]) +best = (-1, None) +for ox in (-0.08, 0.0, 0.08): + for oz in (-0.08, 0.0, 0.08): + for th in np.linspace(0.2, np.pi - 0.2, 6): + for ph in np.linspace(-np.pi, np.pi, 8, endpoint=False): + x = np.array([ox, L * 0.5, oz, th, ph, 0.3, 1.0]); s = score(x, slice(None, None, 6)) + if s > best[0]: best = (s, x) +x = best[1]; f = score(x); print("coarse IoU %.3f" % f) +steps = np.array([0.02, 0.02, 0.02, 0.08, 0.08, 0.02, 0.05]) +for sc_ in (2, 1, 0.5, 0.25): + for _ in range(3): + imp = False + for j in range(7): + for sg in (1, -1): + y = x.copy(); y[j] += sg * steps[j] * sc_; fy = score(y) + if fy > f + 1e-4: x, f = y, fy; imp = True; break + if not imp: break + print("scale %.2f IoU %.4f" % (sc_, f), flush=True) +nrm = np.array([np.sin(x[3]) * np.cos(x[4]), np.sin(x[3]) * np.sin(x[4]), np.cos(x[3])]) +json.dump(dict(anim=ANIM, bone=BONE, centre=x[:3].tolist(), normal=nrm.tolist(), radius=float(x[5]), stretch=float(x[6]), iou=float(f)), open(OUT, "w"), indent=1) +print("centre", np.round(x[:3], 3), "normal", np.round(nrm, 3), "radius %.2f stretch %.2f IoU %.4f" % (x[5], x[6], f)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/skel13.py b/third_party/UO_Model3D_v13/pipeline/body13/skel13.py new file mode 100644 index 0000000..40dd373 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/skel13.py @@ -0,0 +1,115 @@ +"""v13 skeleton: the 19 UO bones (same rest pose, so every existing action still works) + twist bones, 15 finger bones +per hand and a toe bone per foot (55 bones). Skin weights come straight from the MakeHuman weights. + +Finger bones: local Z points to the palm, so a positive rotation about local X curls the finger into the fist. +Toe bone: positive rotation about local X lifts the toes.""" +import json, numpy as np +from mhlib import MH +from shape13 import Shape + +SIDES = (".L", ".R") +FING = ["finger%d-%d" % (f, s) for f in range(1, 6) for s in range(1, 4)] +# fist: curl angle (rad) per segment at curl = 1 (fingers 2-5) and thumb = 1 +FIST = {1: 1.25, 2: 1.55, 3: 1.05} +THUMB = {1: 0.35, 2: 0.55, 3: 0.6} + + +def skin_bone_of(b): + side = "." + b.split(".")[-1] if b.endswith(SIDES) else "" + base = b[:-2] if side else b + if base == "upperarm02": return "upper_arm_twist" + side + if base == "lowerarm02": return "forearm_twist" + side + if base in FING: return b + if base.startswith("toe"): return "toe" + side + return Shape.part_of(b) + + +def names13(uo_bones): + out = list(uo_bones) + for s in SIDES: + out += ["upper_arm_twist" + s, "forearm_twist" + s] + for s in SIDES: + out += [f + s for f in FING] + out += ["toe" + s for s in SIDES] + return out + + +def frame_from(head, tail, z_hint): + """Blender-like bone matrix: Y along the bone, Z as close as possible to z_hint, X = Y x Z""" + y = tail - head; L = np.linalg.norm(y); y = y / L + z = z_hint - y * (z_hint @ y); z /= np.linalg.norm(z) + x = np.cross(y, z) + M = np.eye(4); M[:3, 0] = x; M[:3, 1] = y; M[:3, 2] = z; M[:3, 3] = head + return M, L + + +class Skel13: + def __init__(self, S, R19, parent19, uo_bones, V_full): + """S: Shape; R19/parent19: UO rest matrices (armature space) + parents; V_full: shaped verts incl. helpers""" + sk = json.load(open(MH + "default.mhskel")) + JD = {k: V_full[v].mean(0) for k, v in sk["joints"].items()} + bh = lambda b: JD[sk["bones"][b]["head"]]; bt = lambda b: JD[sk["bones"][b]["tail"]] + self.names = names13(uo_bones); ix = {n: i for i, n in enumerate(self.names)}; self.ix = ix + B = len(self.names); R = np.zeros((B, 4, 4)); par = np.full(B, -1); L = np.zeros(B) + R[:19] = R19; par[:19] = parent19 + for i in range(19): + L[i] = 0 # unused for the UO bones + for s in SIDES: + for tw, pb in (("upper_arm_twist", "upper_arm"), ("forearm_twist", "forearm")): + P = R19[uo_bones.index(pb + s)] + ln = self.uo_len(pb + s, R19, uo_bones, V_full) + M = P.copy(); M[:3, 3] = P[:3, 3] + P[:3, 1] * ln * 0.5 + R[ix[tw + s]] = M; par[ix[tw + s]] = uo_bones.index(pb + s); L[ix[tw + s]] = ln * 0.5 + # palm normal: knuckles bulge to the back of the hand when the MakeHuman fingers are slightly bent + w = bh("wrist" + s); m2 = bh("finger2-1" + s); m5 = bh("finger5-1" + s) + n = np.cross(m2 - w, m5 - w); n /= np.linalg.norm(n) + back = np.zeros(3) + for f in (2, 3, 4, 5): + a, c = bh("finger%d-1" % f + s), bt("finger%d-3" % f + s); mid = bh("finger%d-2" % f + s) + d = (c - a) / np.linalg.norm(c - a); back += (mid - a) - d * ((mid - a) @ d) + if n @ back > 0: + n = -n # n now points to the palm + self.palm = getattr(self, "palm", {}); self.palm[s] = n + for f in FING: + b = f + s; M, ln = frame_from(bh(b), bt(b), n) + R[ix[b]] = M; L[ix[b]] = ln + seg = int(f[-1]) + par[ix[b]] = ix["hand" + s] if seg == 1 else ix[f[:-1] + str(seg - 1) + s] + toes1 = [bh("toe%d-1" % t + s) for t in range(1, 6)] + tips = [bt("toe1-2" + s)] + [bt("toe%d-3" % t + s) for t in range(2, 6)] + M, ln = frame_from(np.mean(toes1, 0), np.mean(tips, 0), np.array([0.0, 0.0, 1.0])) + R[ix["toe" + s]] = M; L[ix["toe" + s]] = ln; par[ix["toe" + s]] = uo_bones.index("foot" + s) + self.R, self.parent, self.L = R, par, L + # skin weights + Wmh = json.load(open(MH + "default_weights.mhw"))["weights"] + N = len(S.P); SW = np.zeros((N, B)) + for b, lst in Wmh.items(): + j = ix[skin_bone_of(b)] + for vi, wv in lst: + SW[vi, j] += wv + SW = SW[S.used] + SW /= np.maximum(SW.sum(1, keepdims=True), 1e-9) + self.SW = SW + + @staticmethod + def uo_len(b, R19, uo_bones, V_full): + """UO bone length from the child head (connected chain)""" + child = {"upper_arm": "forearm", "forearm": "hand"}[b[:-2]] + b[-2:] + return np.linalg.norm(R19[uo_bones.index(child)][:3, 3] - R19[uo_bones.index(b)][:3, 3]) + + def extra_bases(self, curl, thumb, toe): + """basis rotations (3x3) of the 36 extra bones for given curl / thumb / toe per side (dicts side -> value)""" + out = {} + for s in SIDES: + out["upper_arm_twist" + s] = np.eye(3); out["forearm_twist" + s] = np.eye(3) + for f in FING: + fi, seg = int(f[6]), int(f[-1]) + a = (THUMB[seg] * thumb[s]) if fi == 1 else (FIST[seg] * curl[s]) + out[f + s] = rotx(a) + out["toe" + s] = rotx(toe[s]) + return out + + +def rotx(a): + c, s = np.cos(a), np.sin(a) + return np.array([[1, 0, 0], [0, c, -s], [0, s, c]]) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/v12_mesh.npz b/third_party/UO_Model3D_v13/pipeline/body13/v12_mesh.npz new file mode 100644 index 0000000000000000000000000000000000000000..164e0142804a6642a0977676490cd9a1e6727f35 GIT binary patch literal 641506 zcmbT9b-WhE`~H`Zl2SxKK!y*}D5)TI1_T5NQBWkrB}KYJQI{^IJBK(lhwgZW?vfM` z1|&r~L?nKDU4y>949{P`=MRT{@4eUDJ8|!x#|uvN$_Wy_?b%OO@5sd)t)D*oB=TPK z%6|S%>$ctEd8xe}#o{sO-*!Z`&#G3h9nb6ReV4OwlMapA=PWLAmTX!qXFid$X`A*P z+c#+aRh#yWn}Ann(6U35kauX-ply@zI9K7qg$w2rg>&Z<-;4jhPqHu>l`8G(7$ha1 zMj|-Aedi{Q!Ex+z@kXWP;QqiFD-b7|pJqHbj$Q7LTCxE=Sk_zPI=QpOZN`Nh$1az- z3#|b+FV|vTV)S^%gX21v2NmzzxY)Lvah+cB(_O@Y<5)OcRQ+HTxVLf#^Y@CLV>~#n zbGbL|PetCS{|;Q|x4V0f$05hD=WzAW$IHNjdgHn??ndIj(FTW#u171!%b9HF=YPPq zUB~%o)%l}aBVlVcCuh72IgVX!3fEc0xYt)tLn{X;#)HS;dWVbJzs~~Ke_q?h>yFfW zjAL*dyIj5bhvnmUFU9%b%omIY$93A_-hr)~srSuh-iK-ZHOEI>D7OXN|8U%T=!hOA z$dxyBJ9XyW<9hQ?W#l+`$9~)aZW8~=`|$qBO|D-luoqn9+Bk#fn_uR9nMMou;5gXZ z(#~h8-Q?bPuN?+gbvkhV)z8iEi_%-?>88^mm7+2yP$KPD-YS(|oW8`x08>4Yv{5*(UEy{Eb$3gswBhboh z#jm6Fm)$-~{UPK$LuP_eWPxiCr zI2V5Whu>TZERh!?6i=1!ub!j`l=d+NTtL3;pz0L2DOEuNT|I>_IC8$arv2g^s z-{s0^V@2NjjuSHT)w(%G4p@> zEV=CZ+gcu%{@CW9Cpp)pskDuCRbT#x<1Y$*Lhk+ZG53X^@)OIm+x4x!YruV^wqIBP zJ+pNma`Yvi(E;l9~4`Xbq3eFbp~|_TsUrT+&UB14aPfl19b-6tuv?_bpv$lnXcj`uSZAo?)EU$b>bP|ytTW(loiT@h;`1Y@Q^(es?PLCl3FE*S?{HCV9l3t^_jI2B zWHIBxah=P(WGDDs2(BMteF~p1e<4ntoy5AUc0IA@r%1m4$Y$m^&YKLEr?9;<_%`E< ztRNR+kA03*?@aFXNqidTb~l)KQiWW6)9xJO%U7Ykm$3rhTU6_TmM2Lyf;v+_wLHGh_X>aXp>HGT zCs~m{d3~vVUQO|>zQ}(K$Nu5@7trb=GX_M$R;K!dT->;* zc)so|j+-95>k5ult)3jOU|O*ii1(`;C-*;iiO(G!vvE1NPFc^shiv$kT&(&Zb^M_v z$o0ps^SNXa9bN$4V3htHtz17i4y{R?$?BxpNbaTVyaQa#OhqpGgSNBnXvn=}uTbC5+Ic5=vYXTq_mh*0eyiD^_eDFf@xSxOLN*t@JiFc!w;|7z9 z#wG3jCr!E^+zbB4^`P_J=lrSo_c!sn{uMSx!qa-&*q%5Jb~mv4gVNaN{OeD--@Jpj zsjmiJV;$1BmhnAAPJNa7eucNFBS&o+1|4y6wACrIZ5#AWS=9mDTzpEdKFG!Q1%Hgk zaaCo@+Hr24hg`mQ#qtH+_EGPZlho1i67<0__BC|feT_N*{z4rH_cge?uTclU-8z7M zO&w=nqYi+(bpZRC+}YQDSO>t}I)Hsm?(A#S0dl7fc;UVVe_>yTbpYJ01K8K#?!HDH z0C(#E_BHjLeT_OmeWwn1;l2iU_ciJOxLXIXufg4YjXFT?)B)^kaCcv$4uHFL0Q(x; z-PfoC;L@oB*w^IFzD6AYck6%`?rU&&U(2u#fWJ@&!hOwnXJ30^9RPRh0QNPwyRT6P zz}-3^!+lMCcVCBf0Nkwu*w@r|_BHANxN_uTcjW@6-Y8YjS5_qYi)@rw*ua zUxN#GUx#%7Tsn0?^q#yZ2J!p1P){Bn#^<}toO2Q4y~U4Nul$|^$nkv<;@$6yOvmP< z5iizeW_?vl{=SYlU(}fauBUX3;Mm)ioX=&yb~@H;ZC}9M%wSw{IuD~MHr8M z+<4t$8o7CWBI|)%S^F;H{{5I0pRt~Me^wz!Jo249N3RD4*uY; z*MY0veOM>t$<4f9fAxAhPsj7KP6R`TTRv|&b;Kvf?Q>RqK(1;o+X@|-ts~ck|H!lB z)-I=g{$CvsL~tLqQ(K*{ZZY2fWn?U`+jRK`^Ei9?0$TA}omq(Y|LOV%kBeO(*QfhT z1DEx>Sbq8lxmhq}0(m9-y^vpUFZ1*#EM1E0<@wyU-^8ozx*Yu%pQEx*7jjwtm(_?f z5Bo7*Wu8T@mR#oenBIqZUcPsb`$D|YhtK)o>w4T5;#LK6H7#})bo|IM&W~BMnD33M z`~mKh;OEZ#eo~)L$NLp6S93qgzZz~t{-R=cyYC|D=0QiVlU#55$0gL!WwJ3|6e~qN zIePOw_80pt@5kHq*zU)6!|sE7#cNoeemnCIZhgf%;Fq-D`{-o(*pJA$;sJI1r;E|b z)Y+$^6`ih-d$D;rE?)7O!x{JViH#5QjD&G+p13b?_r5R=;O;nJ{V+bt`T_T%tRHZ9 z{fOXw?ptx9HS3<4zlZl5Tr0JZ`Yk7L-+OiK&q1P8GxFd2lS$zx=n-ko%1fabJs`jmb@$?2PlP|!1AIz6;JjE@P=xbfKU(2cg=!K3YWa%aDLIp3HLE@SQgf0J)M;5vr{ zKIVGdni#Z;&R8DCp&4y#Ky$&HEW18%OoY{#wpb#hg@_(<~Q z4arTh&sR|YQ^O4d`y&hm441d>UT7}UzO^+$B6s)ayCatLNfA}uPU(FmmgZf9u zlgmMCIQ}O2UvsEauPS*^`x`qiRhw|1iXH{1FJ>ksmz!3OK)l@B+{Wj;Ngg78%%~5^ z#aq|^i;sk7+<4>z9z@9pTt&$T+|9@AUo{t8*DA*O_e3j>r`Y?L&o#5Z1?#SE)`eW| zn8tXMrYN7w^3yit!M*7mfA3PVCD8Nlb|eq~$dAdLcQLqG-uu6J9J}$DFUCcgFYsvd z1@6ul@{9?&nVc&)Ol-${;*w^6F+1J715wYNUc5SXNzv@ly zyAbgcq-bpG{iEN>5g!wtapQxN+iaa$J%amM#NM&{w?<9--qRu-^U_EAlB?!l*gEsp zAiiIDBhr%VwB@<)f>k}aFZ{=qp4+G1^2ByuyjGZ8uU*FHfj@oSR@{flA<6N+fjpzV zZ-C1v?;GIm`-VJwn&YOQc4wZtV50x-3;lV{ePJBHjWZ7B`zPC=@BMagH_ofsSdTG?`yHmvSc^;{L_s0lYHF@$L4<{_M#PwYA{}^*iksv)fIV=<+Z&L zoF6ul^BH_|VGqvx1+tKvj3wvu`mwWip_MPyCD#Le`~3cD$PV&aaaO0p81kT8cjh0o z`^@q>n-?L@yZ8MTw8703%7n4{RiBA|H1nb>tBZJ0o+{=GF(64?)t%c19#V(*JzXdx$EwV z2+t=hbt@)}Gox;-N9%dHHTky#$-T1g^XEhJXc)Qp?xu~8JG2n-`khI(|C23m+v_Rf zd6gfq&iJpjCO2U`bYF-M^}%1z5Ay+kA)hdRaOvc)vYobh?7G0`mnzqa{mRkRIG(1! z<|gbX&9~%!f!{abI2e>8E+%aCA?pwEhvsEn3Qi5@dzPO)4deCV+pE~`>z!61UTvJh zanSEnTnVmjmR(7msip0>HS5RcY#{IOdkCFkCUwG4eq_UsHR7e2V|f^lV>cf8kVnaf z*GI_*+|38~OC9HaF+Sk#_+UJ#?~JGFT#oBRru>-e!5edy`HL)bxUSUNcI3KqjXStr z4;sMy{l5#@=R%2t|M5t8-sR8%cXiM&xZAJZeuDGpKi#*2*A2g<39E8jJ4x&He#Rq z4KDEcrmkis_kYe{pV#xY+UHWY!Th;6c-)gbm|ROSpKCo>N4;wo$ipt}=a)gYo^3nw zUwkAyBb|5=>XSSABFqQe%?J5|yZOs%TlhX2+8(k*4%g{R z4at>CP9D7Rqpc6C``P$T)2Sot`V-hsX`kG$^TSdc%b@GeXjP%Ydns^%>{rBOk^)`5=FAH-D9< zJNK_l;PLt3O&rI5)uTOJH$mQJtYf0!49n9lWV~5*()QD07P)!#hRrAVlJjrUq$dxu zbm98Zl{S)#TLH(xpInIRO)SeXgZaK2&+@zLc)!6r3A=-fPuEc={3Ad5lS*A;Dx@&T7o@&S*Q4|SbRy9z2ro2deTp?lb*M zk$Z^q4!ptouREq*#OqppWqIyqtn;$hmIdIZdJA%WEFqr@UhUmu!2PBt?xI!S4knk! zi;jDdcRAXiYg^`N=3D=#N|2oI8zycw z$0u0yv7N_;)3~343@?+*FMqP**=OZE=$PG~bDYihyQ!~Yrp;kLd#s;aR%^_kXZ6km ztRL!HI>w6vt#%_$B)`;~`3#!GdDMH>Gd?I>h0jO1rW?7xH6P>k=Uo>?a9x@~mj7~% zU?DpeY#OuqM*{^qM4D%Orwyh)2SeRVje|b5L`bwW!GV*k>tUm*k8yWwB&m5Hz(xy`1fX$`Z9C81J2E z&hgjhU)xLm^#@!(^44i`IWp4`@~V9oN5cO7u}i6A{uxN_{r%k(aJA|es~=P%*M*k- zfa~6x>=C(ak#P|FJKf?AT6KLqxmnbBbOiDD ztCIUq{;)dP>n#8`f7c=pwvMtojry!0pKz93s1KNrS{FyIHWp>S!RLdRziQTZCE``5 zJ~p2(Dsub-@eAkObg(~nn8Npt#)NS}y<=Qg>hpIP@0W-@4(?T`$#tln4z|4gL~_05 zQ|jv$#W`*w=B;ChS6i$v%iCesp;QyuuUGHGRmexrd&u~pTE>%zH-BAU2=4v(7P;U4 zN6Tki!!uuXT;d<)PZlC#ce78sfe6tI742 z-;eM(?)o#HiR;8PJZp8*e#Z46f7;6X^)BY4j!7|<>qpdUN-p2-LLIgJ1mn%{1kd8@ zS>8EMEc>}==TT;z&v6#>D>F|~DK+QOj5ub;?Md^gh!_12+(sJ=O=!pY;+XHK^IIKq zxqG3#ulgCrM8Y^-qnwTZ=_U z?(Z#S$EWbw<PsvhjJ+Q^(uXn9mXKgYRuVQrZ0D&EoeNYDzxx z;OFcokcW9YJ?oyFd7R^Ex}N1Yn_XW|!g*QL&ZBtcSH{bjBNM>&pGg@n%mM0~LqCt_ zebv}{3#};n!1i0|R5KiV-+e-^CQc_8m5PmxgjgB-eV0_ntkFCD>7bxG{MIA zOtlnT?_5G2Je|pW{PLB^g}O&BUtYxgRqH-B{`Py!Q|_K-$2n>8mC!L6=P=&9e2eqw z<)6xRVq)$0X{t;%6BEYyb^0+r==Hw6-}V*BgSYNbKPbQ1@-J6&eznYN*ZD^&IL=;R zsIP7{x9fbWU5Do7%x9r5=hx->QT<}6<5l{QT-U5J33>XbR$2We1<1X)NG7Tdg}5q@?cs#a+7)PSn%NFTg=DrmDA?=;rE;`S)?7gxLuj?Dt|s(9}ay& z9e-H`#+xY>XF|u9$!x!qZ*V;Isx(}OBAd43-(>~4cvNH@;!TU9Y zeO!9YaOwv!%gD`N({Hk$w<4C$e)1)bRhj&jr|nGc<@j-21pM}! z`_nsF{Z}%Rd($qCKwjd9sWzXFmat!Q;@n7Z|A^feUZM}k1J!60xc6ge=40MSZ1cHS za2mK;l#x2JT2sb*zbxbPNZdHa@lmt4+Vz=gn0;>c89^R2Uu@T5jRj+o+c!TFhPOyA?1?FSYpS=z)dhR6m>weKB5+0kix32LzZ#KD@@d@{rcj6ei zsI!6GWPUOa@uJT?^5DmTR_8=}J1_lCQD1F%ja<#BLmu>L!+gx+iOgRgFHNrg7oYc~ zCsg71_DR_bk7adOf(@Ro&iK&b7ZI-$2z^%Y1TQA(t(;kgHFVF9#30 zHnijU@KbUx^TuW1{-F7me|eVrK^6NwnfU2%a+6q{hraCn)*{54t%b?GVLQl!qNS&k zuP$YIgGDyJ^y5C@`iFw#L6g($S9ke!F!a=Un~%uxjm`gl#$n*ziltWPrw7bO#;-pd z+;5YB>qHGSHh%f)Dc~Y@74KK?D?u*rHJ`!w74KR;ezet@onjjG>%?+AO^0>l=JTI_ zB0oBn^JsR}v-$;RcL5I;6d?DLT($Z=k9-jcxoWWSPo6*c3GY|0UNH*XJNE4FeZ4z}y0KxM06_mR!N*ra995h;En7gbx3 zt3q}j#fZLk9TwY9ef7>9TTe<1y^1`&BB7e!RiGE%)191Xm5FbG_+RyKJ6u z)(}clW zP2Oh5|J3d8W6jthv`OiOg{O^vm_th!E0K|KR zOOuXXF#STELETuR-L&si(uhy#}|5|kn`)zWFI)3(+RzI%ZNN`cjj)OnN{ynCk z$HAfCCY{|E`kx&`W5VO0apQGpO@=-;pAK2=`$VGBt9X9XHr}r+eql0?6Fymn)~i#N zJQ(z(AC5)KDbvxaBVDgBZeYu=(du)NE|IVeUi*+-pWWG;=O_O#mwa?1a`Qx3{li)K z{8ibc9q0Th$#q;g*3aO=e9QG(zGtX&&;C9^?hl!N*cCr=->Bu#_j4Cv{4?x{uW!}{ z7lT)^-+#G2@%v)rrPhqJ@mq_>;n=Jy%6`3gO)NjTZ6&zZ=S}WYG3+S0p0iMc>-Ieu zFSlj4<5}DO{U9;ul@*cjyqeyK^QdZU*i4J{?FQ#D1 z9f+6x>(7CXzqA|m#cySHf}6QrzXw-`e;}75zhJ!A;jL*n?_Fv}?%z4K1;=vI;3a7F zmXbD~Ir+$gR9TmT2S1f#KEc{n%*S+JNpAAgU_O5G4>nS#;9ic0{`D_AKFQu)4es^r z&sNl%Om0qYT=EV#zL1Rb>!n@L zKZ4^ObIAkQpYbY2aX;#Qi^)ytc2>W`I6MAtkD-3>QCa5W?|wiYy!q@o-693^_Y)Vf z^P9aQ^EZ{Q@;>$L-D}XVEch$+MXHxsXUv>KTqnB2eVb1c>ud6cowD(z)39GJU&S4` z4?mY;zy2fpd@`F7kn4R(*spndj^pF!UBLM@4a<=0t{a(;zs&x9N$>AZZ2fs$lKSSY z>${<^GA^|1r{D*+-@~cM&50coa9)-uO|D<9%6?U$5gdOtHi4a&b}1~spMmojwEm4; zE{HH6@3rIPGT$nj&#UvcKvyKR|6f$+O;3H%C_Bf;`{xHcey1OBeDw6d##OJ^ktJb7+HZJ-Lp>l8QFZ-*S z{Tl_z{k(56A6cau^H)C&webyZ+B|oDxd#3EZ)WCuqu--5^*y;}Bl&>%d`|hPhg*Io zW*fMyaE;GjnQtMvN;HUdLuS~rl=(!KF&}mOzFj|?pZ%PB#{Ru)@k6ZTJL)qZx%YFs zFJ2q92l^`CgjndvX(yf`s9GhjolgkP>mh(8r-6;_a zPxU{@#q6`ZpJ3tSIPf5EEcLw)UbFqS>9`2o`@W>jC&_NBzdOeg@=Nyn(4cR59TSF$ zNDG$`6abxOQRF6JCOjAL=LA9aL3YzpH#raXk!RI5ZT z%V+W<;jwI=fjk)9jXJWdr@)oUPcGik>v>(9SLTC@SG^-V&beeAT3NfiaV~lIeF?`ixcn>QMgHUD z{&%l(zJlxJ=S4z2vu6SG5nZ-$Uc53r$z`>=$JpPeP3%1Wo|<_E{S(=Jq?+1wl4#>3 z=&0Ul?6{Sxx*ykhziloEE|=SXx67-4hw*xIzsWf7U-`%8-|Q={!=Q0)?rYh7kj*Dk zNxMFuzQ%d+s+4CwL5s`G-}`N~ov&1$-KUcVbDirM_TQ@uF8yrBVfKftOMcu+&YMnL z*^a}ZZmdft=|$ERFGFT>9q&HpMK|gkhdhIW?;k`f-+!0uP5e1~9`oN3vG+f3N(9Gd zc$wK~#n<*Z9eli!^DaKCHiLFb~nZKqmS3(IGV}XZF{W(lf6zEN^&X2VGTE$;@znKr&^{^w+G~BQHW*YT_y?uEfVoxuQkE!yx<-t8W-Yt@H zJcHinn7>!#DfRs#bz-5bA70|IzL$x4soHsFg9o$9FrT1Hd2&p)5!aRetRbH}-l*KH zUqQ>eoG-uT?{@tUnZskz$hN`jE5<>`Z}T4OhqEQ|%k!qlHm(O*eiQpMXX@K^{bV-Rk1ABa_O~&!9na#I8LtZ#Cs!r^ z;{2GdJDE?A@Cxf%aN7DAg4$!5kKSL@*0sG!IbZtvI_BdS|AqYp2Pbkpi0tv^BG2HL zmux-@pK$#IFV9ope)C=&haf>|&c8RZS0D196LQ@Aq?@Q?=3g5dgK_A;-R{p*3CLA} z*_ zt2(bO16Qy1WE~AE#Bu!xC$BCB7uPG<@!a&6)%ofy-$V4JjT}#t<*Xg2tl3r}UKY%< z8v5eqWX`9j8(Q9K9JxQK4)?e2{Qg30!ejm6wVBkPmYVBOE=bcB+^gv?1P?yH z#(d-(Lpg52%Y{0C>n!VS9r|aU-7l|?>5c3B-8t>Nbn_Xnq-aTAZWia)Yw_&wIVEU1 z3_AYD={PT@RK>N7o0auvaC2x7xoGlM1YBR=)Q>#D9J@~D9@q%3-ua5_&GQbD`;%*K z0{5=}Fc0zaBkSuH{k7%IU$*ael|E#iy2-cH@tg1Ax)N{NzfUA`G-tnR>~xO5iI zqDpV(slTqox)=U~UaUi=U&+nv_vht|SIx3;e8kxDmVfyTOdnImz`e@ySiY z&0G&^er@JsQuL*c=+%eZlr7GDyl(F>K3G?YT$X6Ve1iU4$wie}-0!CSID5a&deX0KUMuPhv$0L_DaORLf68N9uR8z9eX7pgn}B$k-*El-SvP6u1gbzYv|hzl+()MPbaFkf#XxZRKyT%B zF-OQvwiN-m9&CMsGTtG3UsdjQN1Wbj?EAx!;#&}>x|i(&ZVuY{6;JwY<@L8^NAlGL z7%y(;+79ktwcjVITz}YgSaK-2Y|er|L3Y4e|2F5xrpt_JVm{X%c#?5Dc6s8%KrUXS#uBL&8&f3Kf&#~J0f8} zy4*m<>l4kme*9A(lLzt3lLu!@bDX`(54R!Si`T>Iv@J+(8Z2c#UY1gfH&xP;`;F@{ zAKB>|xmbUN>qkDe_Zw8J$og+OrQ*DMJ;w8X&7PUFk-r{UkKErLr43R|zb z4Pd`!$CJL`L7v~qgCTkCIQ$tm09^g_lGQK2obwy_$5{vb*p4>;w!`gxl|0in62|+d z)^YuKCEAnAzgqVJ_tN~q@eI1!zt`zqP4EMF(E7x)d3nS<)u}Wc+3&%0TyOq{d^-^* z79Z#g?!{Ii7iB-$1+Io9?g}0>OmBIep}WC#^LiW~F+Hu-S@<>M&9*D#!OJPhyxK^;-1ULO_e&ke_Y0pe<6WO{ z=qm>ITwihMTLzEjTLzEjTLyQ1%kV{0$MHqON6mQ0M-AUKxa+%yubVuIubcW&eBI!# zuN%H`aO3*ML!UW#;P}kpODA`H>F^RHMr}e zhVL5O^5q2Tpy*2M*saxa<3cPZ-?w3By-R9miJ;-!gd=-!gbK z-!i%5TlPX} zIeh8VaeV3UA%nX*@M%-W@oB@? z4et87;R6SM!3Q4teyQ_FBuaMvdcUop7n_=@ukCuOdZFE z4Bs-i>sywg&zbR#&p8Nv(cmxmqC+1wc;Nb|L*F&^9p5#4+ThCZX~WkI?)tjDi}ma} zaeUzL{UZJa-*4y>2KODGunv92;I6OO3w_Jr(R|C`(R|B{cYMq6MT5J(XcPLV!CfCU zeAnQv?;5^t@Mykn@Mykn@E3gDp>Ler@r}c04(|HQ;Y$bi9A7$o$l$II8NOxeJHBQ3 zoWX_TbA~S(+&I2y_^280_^9E#roQ95hEJP1u1`Dkb%VRUZur0%@A$w~==%kCeZTMt zGv4tD!&eOM`ikLO29M@jrcM;!GPrhq%b_nC-1SAnN6mQ0M-AUKxa+$Xp|2Y}ny;HW zQGDItuCE)uad6i+4xc%=>obQh9b7uTbU*YVGv4tb`=M_c`~}}~=yL{lea`SjgTLU5 z4t>>@Qs7J zzHvYFnN!F0nTNh~@WAn|u zaeUV*^l5`D$EOWnH@V~Mh7X+F@qz2m_X{o^-!FW^_^7Gl_^3_jyJo!OyN0hDJesc?JeseY`i`$#g}!le$2Sh2Ik@lm z%;8HXcYNvaA%nl*Lk@k*;L`Ce!{-d{`kdj527kd99r~yl@A#;L(02{)`mW*A2A7Uc z8@_Jv!0~m%2M+G~z=P2D3$7gBFMPt_!tn{~&{s_E_=@3M2KS=)mZ=}bw@e+!w;Y7N zXmI2BqT!>azT=}-q3;^p^H>zHV^k_`1Vi5O$H=@r}c04(|HQgV2}G zc*mCxKQp-NXZAz?Gr8k`hF_Zcj$hgf{ng+v_^U%dHn{7@hJTyf^>2s%XX;1sKZC0% z{%3I4{|rAiYo!K3-H!C&xWhdyNLI6h=Q^euzCzGV~ooWTRf=L}yox#NotLLW7C z93M4&*Wj-28a{36I6iF?`ntiTg5Y(l>@xa*gO9~(TH9~(TH9~<2DW9!iG4et8A{m>r{ZXAEO3jO5Z zuAkh5{$X&}KMcPyx$8F${mJ0U^(TjZW^%{R4F5B@>wkt{8vF&nbm*_9j^nR}9~(Sy z{MhhslRN%x_;tZw@au;DUU1jn>xX_|aMuqEzcF|;zcG0fzcKY4zp)qknZaE@GyKog zas1ElOH;@3OT&*19?g#p9?g#p?)tHV(CN zU4JtC%;3iHGsFK(eaHVSLccV)>z9VV8r=0)d!Zj2-1TF_zYXsCxBbwsOMS<$3x6-; z9e=ME`hme+KQR2pjE~|sW_%RCF}UkDhMyVS^)ti&Ont}y48JtE>z9Tf8$6mHn>>mi zoBEC)TZMjaaM$k*e>meEe>nW);I5w>{$X&}KWsw3F}UkDhCdnHIR0e#nHlf+nc;sX zFaNy%8GdPS*DtL@e>J%8_^aW^26z3~BJ^*A2abQ+5B<8}u3uM%{$A=k{$3IKfvNBK zfko&yrhXK^F?FK&jlo^NG5pNbcm2$v|JlYr?|%+LzcjdV{L=7agGcjYQzwca8(cVk zZ1}yY){%ZKK!C&xW zhyHEqIR0(;b-|V6*M+~A-0}Cq4@@1$4-CICc@)1fcr?E;;~l>-{LJ9O@iWWN{|xT> zpW&AVcm2}vV}nQYV}nQYW0O06Z1}ywUB5T{;oz=69DZ_e-|>^fKMd~rhv7FScl^dG z^e2P6{$%)>8SnU+;eQ5q{m&-!OM?fFUmE^u>Nx&t__4uVKeiwGx4~WiHvGEa;s1}e z>+zXi7ye%Axc=VI4-D@5f#Ej>52E;usUO8}Ont|13_mk<96z%c`k%pF|1gd*KHL zH;x}zhkj#l9mQ`<{V0B8>N|d8_?f|7KQsK#jCcIc@JoZcerfoz86U-u4Ia&p4et7} z;rAwY{NC_~gS-B4FZ7dxyMA)`kjWh%GJMO_cYVvD&ly}eK4u(6D86OJJHBQ3sKKN8sHqdhM-6UVA9cv^@mFn%#DuL}_SsFe z|9u8`);Jc~=iET6E6p4h3ESYpdd8~~&;C8GNS?{yUguI95NG!O{G5(IsS@M;Q4=i> z;}Pe^Lm%AL4>}&N-jc>PkKDgJl8@YVd zem^D~*nbaD-(6+-oEnS|{b>Q>)sDlKm;aRYLF!x7k(D=-`(q}t?)xWVVv&zJ|2w(5 zxYovJfARzKS@D2eH=AppNAILx$b5!fCKr|d+=T1J*o|>$^}wgM*jDJhjr{JZT9J^; zLRZPffnr<1)!dEz9#Oq?fn2prP91ah`h1-CP7fdtBDHP&4^10G$IR|X?%yc21#$9B zVf%gLXC26O-hG^J|DAW{;(T!DJ#z2;C7W^Vzka1XbVQ3hR=@mO_A3w1;`f(oRBm!P z{HwW$^XkRtyz7ZsZ{zy^KDTPHA8&b1a>Vnz6EAz^m;)WzIw{wc+Plc+^GrybefIBX zS6pTL4dbEnLi|kodkOuUrPkwoFsABrIwoT}<|$tK%Oh^_}^`{DQwQzv1{(#~FXj7q~lLm|t>de#Olq%VH3pvcWpE-i+hi z?;_LQH8?i+ny*HyK3Hn&K(%>{*QJx${obVnxvFrA^JwC(a(>P5gyeqeQwynIBA1=V zw6`q(`SDV49qC7X^W!IWU&K6K2`-04R`I&MIqm*Rk!ul-y)^SVe*Wl3&(C9p1e^zN zPkgQ`6~;%R#H)6K`RIzDQ72e1?KvI)qph~Cr=LfTc<8(kAMY^to8D1^I!b==oQ@g2 zkUDxrW6Q&M>NxSJ54f+usSh%&Kj3ctL45<)PJKiDVZ2j+WLV$8-TH?53GO-d6ZH+; zt#7EG)OYG9>NB`opJmMh6C)uvSFdqif|W`CLYyggcnrAev~W9G{lD4w!Tnb@kHoS6 zQ2{>Z^_LaNLu5a*(lTBoNc}w%?ERj8 zhdPL-jvGH^{513*)J?>AbLE%2|2H48^L?u`W|QS%JapW6)B*5lbpYJ010vj~;O;*4 z!+j0z?rYQm>N|A+b%Xj&-Oyp3p^j5$ygBdhW_&sOd*i)K*XPBA{i)*n$i2@N@x55- zp;N)d@bfnQ&yn`$o?3tY3@&fa<~#)-rP~j^pj21t2ziOzYub|BwAwa>`kC_E_wyRh zelG8Rz8APTnUU+;TiliX%HFM52W8A(cK`2>BR6v-wFoPQD!E-rP62PF2cPKA1Fy4UdoTYHeeg##qjYrW5U*7u#nfwIZf<1CD}!;E`2?U{WbF$@9l0! zZdJlO+UMPl^ZxQg|HVU3Iq}d3clH0%iI>~zXFg?h2Cd|C&7an2BlN|e>Bxg2nfQL@ z|I*1mFRm24LEU@<7_YXBW4!Lvn>>j7kk3u!CD{NSJ;DB7c)!6EKF_>j5z9M$N_~0w z_HyW%Hox-u9HjW3+*hp^gNxR0^LefwWc@Es=(>4A2mA${uwQVuU*rky<|)JbB6sgA z90zcB9FQltnud(mQoqdOW z3a*`fihWIeXJ6}u*1r@K&&v4^zVGq?ac2Eq?kf>L`9d6v-0R7`9q)7B`t=LW23P+( zZF%@-eB|lJoPTw#{&QScp1}DJrq6wjt916g!+f`&9Qi;uT0YDpN*XIc$#shV&4s?MyqsLW?vbmeWfrmD zb?Yp@zMjuD+0M87u45ze;N71sKWYCxyCCC6%g<-GI@d1n{m{?zs15XFrw4X?u1sFV zem8vga|C=={J(K*9^2oCD7T!M1g^im&3Lo5HTS7Z6wj{fw1!+HugUk(piPk_i1*h` zCYP;K*?qn55cioH@`Kg6_y_X|zqnbC_#ppRR%hWh&TFvuB)MoW$o*5FtUzAg56SKO zc&fknK4Xd;V7)Sl_uG27p`GQ$e&ut+Ph@`|pIBCdT!+7(7dr0m=Y=#re&wFjk#|2} zyrto~{HX}JSEs~tTqkNvE_!CM{f7DAexl_A?&c%n7gXSSgZ&;(OejVjKYUIhPxm?H zhtD-|<388I=ODTJ91NdR;O=t@&oyxOxrXN;x%(UppHtxOa|+Kj>O0RhJO{zu=b#Da zJreS0^9~+u-Wl)Cd$Ut3C3${o?N%%kK?L(M8k=L+mH(QF8x(9jWs#_Tm?yzG-BCzqS|V z1Knu(fJe)R@lHOd+mSHdt=p)>;BFm8-3E8-whZe$xLfCCSck#gI*hsv?mKlGb)MX< z^SRT`iwWcP-3gp8-GAR59RK?fyXV__HEIvJ4CA5W#{0MX&c}7Z=3>+d%G=)?`=3tl z7FMU1<%oxl8!rph=kqIwt4tkJ{|vu3_*X|>inaByqveRFjvIe!(I#;3)tej-nSBxS z*Ka@j|6lpb4ZwN-+B$NRK0V(T)wc=wJ`i-iYw!2Rq?@T<|NEtA#h=xz&gxdoPfah= z16+RD;8}bf>iAdd&51#Lu|AfsIZqvL)3bl?E8RujSMZ=L@5e0e(HS~knFr*0M|$S( z=by*U zI-Z}rn)=Yd$E>?b9g{agj(Ehm@j-)C{65g1GJ)~3>^slt1Uu_<-^s;=$Po`6Hy-29 zJe={ze1QvRzPxaL!QJ_lKh~j+JN`PHFY3QAUr9HE2k!ia;}7nRKjsVEoi7>AFSt9u zYJa5(du`M!ZreEj?)?RuVGl^pRAoN(ezf62NX99qG6ef`>Vbx$5D%b%O{ z<1^%lhmIR><^>A*h#sXGuS}okbVRFzRwrEts}sgU=Y{w#dsvr($yvDGP40-jugX>U z9wzVHT7&ES9Etu$f2P0!@}TfJ)*;!T40%vI6ZfY+(~>%JVk7FvZ62Rzrsh=Yc-=OU z``zkUKC?OZy-AmbIy%8a>Wfj!sUvdP_d2yX3$G8RRAOsB9!nij^gSNSE~#11RNjY{ zUzyJ5j#oWW5qSrN8&g00BR~4fQhmThlZNCXjK{GXFHV0E8ws&~d}j#G`%m&crz84) zGoHLg4yzN!(%on&jUzlHTcYejE%UIuZf;sym z&|CTJ_Y{YJ#>bC;=>T}JIPpKcK8(k)8?P4UXMOVz7o$#ax9CH}|Myuwm^yMyL2|@H z$Bmc&JIwL-pJw07^F5nCH}7WJAN#;fx!UB2XPg`VN3Yf3dh|(KAD;fje*Nng)`6=% z?`X8%<;Ucv*gnRq;vd-OU6K^MUwJAk_e*fOD0SrI8aDrOn{E8i>JjJ!U)LuO>e}Cj zA%6OGDY)@F*nU?&`}gH{T;p@hudtH&n~bwoAWlxOzu(h4ec0abr!DM$9N3>aD&-A( zzwh7T__(kF{q22)@i=zl<;B46_YuqbN5b>s%cRfgc&F0T0oSXOks}^Do)eGp2Y1IG z^F{8=mlw`2xI4cXe{gsFRXAVNapnv23+~RZ7mh!5obktefxGkNhx1GB%x}=S3!fKe z$alLU;dQER{>O;>_anwM*bOfB7AHqMj@|fROec<;=)QgrbrNoU^nZ1N4*zh!s0Mq< z5l>ww-mja1^Jtn6;>GnOd%$qj<)fbk4 z`*VHnuOP9o+~2`?|4R8)ysq`L-)BALbFOofq@>-aEtcARvhL-+P_sU>IzKKU7wwud zUd=kn^E%mbo9B#F)YV1SQb#Y%Pp+yjUXA|bwvVk&hJxgBWo{e)+cdk+3cW|JXSV0~ ztIlosUZ&rFoB4+l{D=*&+I`c!C^_O|!ZR<#kL<_sSLM=D&-}8B`p;xMT_A2W^3tFG zVtE)(9VcGj$!W*G?t`I-4|Y_2PRD<>S|{oZt6}pG3|z?!iU^s|2;xj9^nT>ewazBd(FP43T&PaS_s{>iw`96CfUQ}klIICqTm zB@g$q`ZrQrovS0LBhJpU{M$O4aJ_$S$u#P;oM-jF>tuDRlo*M8f>rfw{6Ev#uj;*+ z>rkd{OCI{bEw6fJ6XNCe6ZfDemPhRU&U)q_*<-)A)Vbdz7rE}*_qTKn`TnVvu3$c9 z-r44Cil_cLG9n!uh?0OI$nZ~;`}D7$^EwrG9Ul!IO<3>*z%S>xv4m5GIYG1d&p&9N$xewK9c>t zKAzlrtt0bPA3gg$YuWmetArn~N1TqCIu$zR)nhh(?w5@Ba}OSc^Q!S|aB4afeyT|>b3I%J?yud<@$rhJAlJ)!FiBP3e}nnZTY-Mf$;Q;tda`|PmTa<$`8ToupIX14 zdM)#wR(~b)y!Z##iD`6f2adh$Z3mJc*ueE^O4T4&3CHp0Eq}={axeE1%NyD6Z-PT} z$o(X7+j#xjH-@2AjrNlVZNDa$W4cnu3>ir-E6gVsFArW43FG~#E6Gi(G+U`N@wbs^ zO_F0)r*AIu;A94y&nBCXUQ~o!H|@L>IzgIsj90y0--GMD_m}bgP0eY>`_-ep{oo>d z#*K(q%`cOSTA2@m`+56laQ|RSj&pFb^iIb2dG_z(E}d$}?aJ!iZG>spX`3SbN!nF-;(=#GK|1=L4wOxC+>TWrz*5?1^V^=?!K#CwnO2iJ z`io`cLB7P~YRQIi)EUy%#;+a0@%J`$S`4lx58}9~GxpzOmohK+OR(W(J1;Li`*->; zrC_{VFp%TvCERcGsrAY-=!go}8E*=0~e5jt&F|j#&0n`sL^f(xVL_U)lv63zk!Zpp0ee2>X?cV-k15TWZ}VaGFVj&X=L z<)1QMS7=J^9W5J2{Rv4Jul~wm*XP`x)KLW*Tb*RB_d-`DZ!{k9exw|^dG_xN>k7RV zlAo$h?p3*a2=T$*RcpcJoV-@&`tT#*eut&&!Of(8`%|6L6GRdpBM#d&%7XU6-78k36}wjRodf7|u2Y9MujnqN~#SFX?b zRT+0#oeLhhJbsV)=oHO*Kv#7hcN?vqKaJdLF?w_adCuuUZqi;Pm!+@I1=raJk&Bx8 z2(I(y9qEHsZaQN5+$Q9DWLE0$2H*Q zW(CH3NiLoQmpAjR2KUyEC)b@%+j$?bm0UD=mt0(JY1ec5dE9rx3?x@+Jn95#DpFs} z_}#{TH`R`(O3L`4>-Xg5wTjGB#3owLe9SR&f5uI#UvoU;&B1p$??L%Ar;(>uqb%#2 z_|Vod(WxVO@LrDz&w)?%;cFUJ;uw2^rmf+R}a`C~pmS^p5 z*IU)ImY>Tc}FU?Yi3j z&SL23Z&H(cOLlO6#npR^H_78{o`)Y($4{N472>_Rqi>-#J?7YTc;dG)k?>eN>S6gS z=WP7J1l(U(rOk zli78c{Lm`!;Al~+^J~L1=r1%%`kpqlOX+b4{d6K|2rarXb; z`H6=!-hcbg*^Ezm!RpTzTqmYTJ?1GJkF@;hA?718uksNuBKGfn_z(J#>tX4~MUYQS zvzs_Co2(-DhE=oc`JVL|%1pmAACc*4L&T{Gn;7qXFp}I$v1lxG#Mg_+#hR^_KYWEc zrra8GHTF95_m0RW?C)YS?hF0JByx4E0d@Q|Bt!z4)m%1|M-zY(V`S7Z>6jTQc1&`tjbRIICdf{nW;lEQ)af__TI9&Z+k1F zjKbTVp>I|wzw>&&ef+vFpL=ij=5z1y&vBmTbzbl1d9O1+kGsX@Z@CS+O0{AE#mo27 z+Hw74s{>S?7(8J<>3Vxb=uWmz(eCcLd!dW6k6QgwP1}Du3`ZWXe+^r1qvXgVQ+Kd= zc8`JXJ=ojU=T4i)Om?k)^=F%ZXFuc-izYzVsrn7a{C-H^wfS`&HH(8@MXo7vEHu301Cr($F1a?3Cq z|Jc6Tq`TYeSpE6I(7lUgM;G*UaiS4?nhuw2JGP&NelD^<1Kn#;!Rq^aV?3Ir2JP!4 z%Y{5<+X&>**XJW%ZtaG6b8?p*F9q%Icf9H=QU9{_2%G1*XA!SbFGjqR;)KnU%+BYg zaC+#XNOFuLD2X@;I;Twed4^ zAdecD4S7WO+_rtQuCw`j=eK!Ed<@;Jc-;DVss{3iAM!&N`4&KTR^N#{p6Fon{I4SN zh}?G~kD0p+y8CGM!{k#8`4HD*j{efdk1T2R0f$r5x)0uQVxhr&? zYBr8n)|`mzLs`TAKF;*~3A#R7Z4|}3MeOh3{6B~WT~#jBk#vz~r}gvwn>K#V|8TwP z)W~A{+mw3H-JMv&iGV&<63|$H$RJ<=c#SFV9ZI>+e3pIQ0(nfNpZU3|(9+JO+OH7lrQ5 z|Ir>-2>*?zR5w%t8H&${B``?r!kKwjCShJ4JcaW47MhY4wmtP00gYJT7hiBgH0C9%pS% z8((#$J+8mc4I*8(m}29ntg-d>W^?PO_9W;s{T}EdW4}ohuU=C&zRGUvXYVDnyH|f2 ze2QYP9EGpL7w1sCmwFs@Z}B1M?jHNx+v{2Zd7R??ZJyHU5wHHb2fCVn4Z7?%c^>jS zl?uAKJly6_|L*sso0ChR>$a5}B@yPx09l=%!5FYNQ*{6uNxoN7S2F zuYL>Yg*Mp!S?h++eyKa5+c-tu4%uZb?3J&<{lFx|s|k5JQk-m-4*g$l++oXo=f1|IJ2e~6prx8#$JSfUqIGG1asIvP zwDdAAvUz&E(T?I|zooNDSJhJ5_zRCrBVA`4g7c0(of60EPMcJVd{=Yi#J>nO2T1N5ayDt#$oa?-dbg_L8 z@~BviC+F@%F}bh+p0KQ_|I;0ajnU)y5y$G@7=ng>9j$ENP+ZeG4&8<xbvJS)VQLMjo@_vCqhl z{P7TU_qkn&ck9}}-zh$vXZ3O4YRaQCW>`Q=r@Za|YH~fSyY*%-g8o`V)W3SO68eX( z(+|3?xZbvVmHoCIyN$(Uhjix^J#zC{re@fG!MTC-DF-r4f?grXg7VOHS)_R zJJ@!dP-!7;*B7_i`uTPh`j71YJ+?cUUWP6VAhj zT{a%0rJ46-cj(<4bcyoUWr5Yu<+;u_UZz01xUX)9?r!`8=VMW@xI&(LI~_-!m(F#j zrMmM#C(7eo{}{T?{w3mdXZxLxD%=ga-1T{H#4oBhikAA!eHcgP_Z=8V{&TmEl*di` z2jbnTi+WLE=Kh#OquaWFzhnF%YQJ z=nu}60??f!bD+yf>Ck>MS+Aw!Q}_DY`oG#_Ih8B3+VSp;eHr~nPwKm#bZ>fITmLx* z!jE!?Zy;T5?2Y#FIu5cv8!bY-JhBAsYZ~^l`qC$$ivdxnH~GNlC|AtLgFH@;b!abd z-Hmy5XGxo<%51c+D$~lw?-{a=%5|I9K^|vCE938}h6FokTy8>&{v~6MI5;@;4a`pWFW!N=vW77r5SX&KDR#>oQaM9#Q_% zDfl^baXt^?Mco%|`yTiby73&;yG*xX81@@yuZQ%B)`MwX>`Z|?-l_^XkBV_K(cUs! z2jmfRt3#Kg%3^=@@zLS5pXzqw`lI1J18Cj(ep9z7TCT{6^S4%SA>JJ7fjsi+i_qNz zf8)I1O=*q(?0q{EKJ}0aQOLV+sO`_+ZL$6vS6W57Uf3J)a`tb~WwQH`#}Q|({$mgL z^fLFr{AKQY0^>`Lon((|^gYPqbx(L+hE?pjm?oF6z^X%?w+i}<*(B((NY@UXbkjKe$8M;X}5Ah~PMzo9fb~dll&3 zr0KRDr*4H$nYldj=q=A7k9hef=;mr88(;H+ZQoBeK^IGFqu$)kW-c9v*?q#+e}=AT zFWqV<`mHRn5xOIaW8JxHHR478snE?^X^}^FE^Mz0{#p*7?u;mVetM-i#*4Re6m-?~ z9mI*5FWLB)I@{wtHV^eL|6XAA%)@N`&pw9saz5B-$M61j(3L6&A8z`2h&LUp*yC-! za}wI?>a3AypU30@9AAZ0<7w%&>*q!JOFcP1boFpm#JlqbO(5Or|Avh}dS)Wxci)eC z)0rMQNb90^o^iC4`Ep@i6)!yqU5##LygL~WKsOn` z90PsH#;z3aeEth`H^Vmg6yN=bJno}5UQB-n^NUw&#zN%(v<`fVCtq4ldCWK8V!W7K zpF{WhEnSWL**>%J-R*N^@yRgEcV5luR{!EPl&hDn)D*9ZeuF&fXZyTQUV9yR+;+C!|ncM<%wOL>U)7b`wM9OZl{dMGVzp&5gHMFB1Gz>ny zcJCwJJF)=nZtfUskGI@##EX*;qn~)Ct?u-D#*W97MJH0ZZjleHf0+t-+#wFyU2bUx zT`hPK@lN}9&`-?LrqJDmS=ZpWp2%+d|Mt1??;I88*((7lhJwecy^B9C+UwY`+bsFXPW>NaDmA z7JB|I(8cMuq9|TpJ3R;byBn>~r7c&IE_-&ya|XBS73lh&;%lM*zTU>a_}s6wt`4tR zisiWSh}Un|gMU@`zzWjE%4GAS{H6EhKrd2dB+lp*Bu%o-b_fh zpVqx&rIANJ{N_T+BifX(`l_MGxDG>kai_qPywV{hl zBaz2>>lNs--x%bP%SVr)Jnp-@;ZrOhhj`Von@hTB`8#wcZ*J)3%xlOa{<>_Bt4yzT zRGwV(D#nd?rW|~lwDvqM3e8ze+tr0E(BxZS-r=?WAqTAAd(XdOhz&9@+9f z_;d>2g?4v4yoNk-`meTKhRs<*c|^-!Fz%d2BcXfWR=0VMu0(!iw!)|Wwm#a+*)?ks z?PpdFv&Z{j2jmsa8X=E~s$`G1#1}U2v?J)x=H*R0Xg_!C3((!WPZo;u*PU%!t^RFw zJ8%46^E=Yzxr5NXt)4w!Pn(7Dg8p9Q+tsDq?+bE9K)SE)Jjs1fhkJneVDr*3i& z^0@gl^2i^O@1*_p_cu5#xt~G2_vDT58qXipv|UV|0o`fV5k8&sy;qU$t;{)>%GLX) zLD%2EVf$O(FKv9iebC)(`L|HKYM){R#e3yf!>3sN!VjdIQO~}Q?eo_{cgmeayk4`| zw(q7n(A}u>b{rKn!zqtGWWWD&4_veHo3q!YJi1R?9G5d?HFPKK9<;A6+z7hdHr(c^ zPzQcgoh-X)Ke=U^jW?6)BTvWd(A^6ip{wz|(7tN!~%xAU3UMM4}Km+{vVFA*8zRHW8TnT79B;pshSJ(ml}H! z$M25(Z7}6A^G~B5z0+f$dr$q;8u4RaLO<~C8-{tq&A%S=u;+BQ`sE1=X@B+YfZ@oq ztH@R?Q#6CF8~yqb7gTv1@m{HER`=2)kN*2UtCxKINAe?n{TO+?%8ii6n3B*)W4z4TA$;@TjaXW{`Hf9{!WRIc~k z_qJYFKZg3(-=45OD>p*@iFz|SQn}7f4c&QRvyH#hwLk6e=J^1+nK1;q-2W!(-{c+- zpK?=WwzaY2blS^^7iUkxhkke)@`!8Y=b~Iy*w)w4&S)32yz(5YTj=ueUv@t4RrPz)O`D?7b*2`}Xx-U1vMQGS z#-QIjPo%PXsX^aH`J2^|S1~^I=vi2rZ`zJ0U1r{f@vnM+i+KG=O^@=(&+DT+xqPV| zj~9OKL-FEzIUJ9>J%b(ZySt1f-6{AQ>PwdHjy$H)i0+if8!#I4h2GH?d1TJVds4jm z`yI?jV(Ki!d#|R!^@-Va8M-P{0{e+!QFeSC8ez-*{2iS4<%65ipPi4=qFndBckTH4 zZ8hSZ0=aGbolRx)?D-D5Ji5rPkI!wdAAa3#^YniXfaoE9mgdX-*5Z- z%$$R%eoXdPZF?7c5V~&mSbnNcH^)NTe!Ehkf2m9JQ2(mMN*tH@{wj2{%W|Ea#VMe> zOQ%5h^8VQo?b0L-jz|A|27biWm&Q=JUbQ~f=Zo`g|1G!)?IoUh2)g;Jpe?s+545kW z)Yy)ny8G?CK5xW$Bd)(Og>?O49rRmg+$QAlGNwShyRs;B_4{PhzdJqOB*b4ojC#=P zr9Hm(SCB`Qd=I*8whMX8r2L3isqcrbY8OC0GiB$rD8F1Wr!S5}AIb<{PKIoD9_~A2 zHkBikXWKKw9@`Hee_65YIRD8LU!#8X;upRr-4*X3UJopV^M$wW8sbH{2cVmAUn7sVC>{F0 z*fkU9OI4|}t>=6_?6|1#hMkx0ZihT#X>qGB$^_l(lnHrspJ{fyY$}T5bhEca9`k%9 z#Cxl*L)V?xBabY;5Ap7!7p?xlFnhn#Cj;VD?sw-?y{Ss~+J1hzE80t?FM@iO@20i= zx$eU0INsw`XHdLJ^$gBq?wLubf1w(pe!Q71<8t6Z6>i29t^tZnY^SXVEc-7>_?-g_8#&|aqmJcOA&i%s9_cMwjkLdZ- zIOu0T!8q3Qr>>)NL{~kUbdlw3S6X`Ix}rbJQWb1}sQzw!?Dx>!wjMHc?m_EjdAY9& z`b%AS3-Xxy*BX#6a%HsJGurc)Gj4xp?4NaBS&H|L=S3cO-KlSB-E7-9nwD->`#wVa znGW-SnD$m*(nWNfw1tF89ETp4A9>{YsS8OLYWU28ly6!W#g5Z9PqB9Bhw|sY(Jnf5HXN^4Mx)8HZM>0 zVU8C-J?P1c;m4ePpgZ)Ebx@yr@-v7x>l$_--FbSQ%`+^g_48#Lj2HP`YFnSLtcM?G z-N7#@Ufi7wc~qlU5bxx#)*AV%Z9*QMdlBYg@kzUe1^syU)dP0Cf1Mw?_fo?y$kS@r zD%x&7o@Dj0m0OVRt@_oDmkH-r)4HiSU@+p2O@%I3)L%oo%-hZO^EDkXZ>U$7Lw76X zz<4nm+96(CnYD`Io#EStQXct7J?L(;XOLf)u;*>}{gTMzcJBe*=~)5&L9R__cfK!q4?;=s$8t z8`O_`$IH;&*^k=!vw1CC4>$$0K{uUuB3@VNj69~6!}Rmkw+CCX#LlzHj46yO`DKMuSpHv%T*ua$hrF&>*vHc z+g=s3PosE~d4bK-^I7QLtA|IEE?*dn{_K^ODA(&-sa2G(yG<5iT)3sOLYEEF_8?u& znveQa{R%)gnFn+t-Pyecd7PoUZT_kkkVlW3i9GVR#nw;Z?Y)p^^CvgjWiNE~<8Pfw z7ccFy$jdk9wVMa9_=-<@x`(tkIZe~hsuhpHemln zxo{t>vV4ht>)uy*Bk4M22GoQ5-4*D%a7XCQRu9*c;?d>M#pDc*T{_<(}`!d+;` zkuG-1>fby&hIIYKZkvDU%eLI3J<*P0W_z1ITg7#hN1RwP5P3d%9J+dPA#|r@k+Gz! zG?u4fvfqpR>hQFwh(G=vj#u5Y4L;STVrX|++q2_h)HSPbdEVaF4*l5n=XJkA_sai_ zc=O_1t2lJoV|?u>e_agv)8^5S z!jFtvU5<41+X&>*Ig(l3{Mn9lo%tE$aa!I9-SjHfoOCa5flUQzKlSTcT9-wtH=w1O zIRkmj^aapWfk_zGrrQ0;BaW+@}phx2WG9uD#_9uDzONay?$;-!$zc`3wKA)WJ8 zh<`#l=bsQS1@VlRLVOj{IbVhNC!`C;KOtTU>6-CUh_6CA=c^E}hIGkzHIC1>fzJ6h zJ`V?Z7!QYdHKcQ1jqCGm5YPBF#KR$-^KcxWR|B2#YKU(``Yn7LpNB&_=iv}vh;+^u zA|4UxlJSU$UxYlIU*z+JNauVZ;t`Q<7>|hfMbJ6F$ma`@&iO*bBO;yih=^ZAI_DP= zuLe5f)ezqXI^)|A4~KNl!y#S`>6}+Xd>hg^--dWNq`QoVL%bT&Ij_d^`8K3;z76qk zkcabdeEtdYF#ZYgQb^~#6y@_(NauVN;qy;O7mR;GycFbTycFWAkggbCMfm&^(mDS` z`Meb9jF&=u71B9hg?Kfj8^)_4z72H7w;>)5>70i{yc*IuuSWQM8`3%7hIly0!+1Ev ztAWmWH9p^lbk4U?J`V@+jE6&fA<{Wth+Ji1Q273K3! z5YPB0#7lwBcqznJA)WJ8h<`%*E&LOomx6f4OCi1r>71`Zyc*IuuSWQM8{}bp8}0LO zNas8p<@0KgpYdvlZ-e}tZ{zcDNas8p;?s5YKo-#4m!*`9(foh;+^uA|4UxoJU0bBIIHGBI4B` z598Gk--dL~w;>)5@-rR|@oJEt@oI$6w?RDP+Yk>2`8f~A=hcv|7_Wx-Hl%aDjrMss zh-W+;;-8T2asG+VOCg=}QiRV}A)WJ8h<`#l=bsQSg>=qKaeclD@-V&%@lQzS{1f7( zknS>Git_m?q;tLs@oEsycs0bgA)WJWh=)Tu=iv~qhIGkzHQMLfKxcd#;^C0ac{s$Y zAzd+EjpOrepfkP=@o=DX9*)l!BK;P=kk2C`o%4u@Uqrgg_(jAQLOkaS`8*=%j7LQL zBGMhkFCxAW;u&9vctoUg9+B|*MaaYXMLw^FbeHjJh;M`ZjBlfT9uDFe56AI&HP9Ka zhWIwf!}&Ho4~KNl!y#S`>6}+Xd>h1bzKzerL4L-=aeV#>>70Ked|nFT883zSD#*|H zD#Sk_o%2tKmqPk2ycD0WLi#Oy6`y|so$*hImqI${r3jy|LOSQG5U&P0y0U9ueu1@rZ=aFM`haMZ^~(o%4l=M?^a35fQ(L z^jr8vKCgy!&Z{B54e6Y30_5uZDEat0BG( z>6~vvJRIa_JRIVmkS-bjgm@{?881cpd==6;UxoN5h-ds0;-!$zc`3wKfzJ3U#6LlP z#y=rm3hA7eLVOj{IbTKlyc+0?S3`Uo(mCITcsQhU9**bpYDnk28sgiK&iOXP!$E$= z!y#S`@-tqI^7%H%!}vDD!$Cab;rM^o2s-BrDW6A#av6_^_(i01ev$C`LeLps$nkkZ zq-(|_B7PC+oL@wIA?S=RgcqkJ9?bjHIW zUJdD-S3`Uo(r@A0_&gla1>@lmuLe5j)%biH=!|beJRIa_JRIVmAfEA09G{m$I_ISj zUxjqV_$tEZpODV^C&WuZ9>z-{z6$bizKYL3A)WJ2h?hb-=cN!|g>=qW5k9X5I^)$i zKHmoU8Q+F@IM6u{$LH0M&UrP&w;`SLZHR|MI_KdKuZDEat8sn44e6Y3q;p;k@oh*~oNwdvaG*0D4)JP8=e!!?+aUkQ=zJUE;gHUGIK-<# z9?q-r`8LoQ--dWNq;npQ=krgHpYczm&r2bl^HQ|WS0P<6zKZerC(s%Hgm@{Wb6yJZ zRY-RkUxoN5q;viW@lr^?g_q*iCpd>i87kj{BH#H&Gm#;YN| z4e~R-4e@YD=R6$Z)gV9T)%biH(mCITcsR(zcsRrtLOkOOIX;hwbj~AEKEH@`&G|(> zUkG^^Ux;`_h-W+^;uj&F@r#Hr1fB7PJfBBII_D7)zX$isLw#J52n#9R&iOXP!y%pXaEMn!`YpT~pKpUajBlfS9uDaam;73Al96`y~Cc*Z|*d|nFaoR=bfz6x~4R}nt{gmlh7AzljN881cqd==6; zU&ZlxHHc@t8sgiKehc5m=iwj^fd`9-8_#xEki5aJnMhiTWa44ShaEMn!I_K38-=?6i zbH0uCc{mi$c{s}F)gTY&)%biH%ES3K(&yn&Jm=vM|AchTKOtTU>71A1`g|3{GrkJ( zPe_-He?q(z=!};leZC6vGrkJ(Pe|wd6Xo+#kcaV7h_6DrV0;zf^J+*pj8{W^8`53Q zxAA#6h-W+;;?XuKBAxS#h*v{8=hYD326-6YhIlxn8^*&S zUJc?IuZH+G$j|sT#KS>6=i&Ig8sulZ8tL70K;ycFbNycFWAKxcdv;-4Tt=qWQ9iGRbk3_G zz76s-zK!Sea7fpTheNy?(mAh&_%_JH_%_7DK_14#AzlsX9^=&z-v;rFZ$msB#4{d_ z@%ciCXM7>z5s|JKkBIn1$iw(W!siP?XM7>z5s}V$M8q#5{T66-Cvh=&86@opMOF+=bsQS1$h`R#qs$nq)WzEAzlsXoL3`!z76s-z76qkNas8p?el7ohw*BN zZ$mog+Yk>2I^*FGuZDEat8sk34e6Y3Lp&VljE6&fA<{MH3;8@E(m9Wa_(i01ei8A7 zNauVZ;t`R~c|^o7LLSC1BEArG#up+U5p>2QB7PC+oL@w|8qzthM)-Ui#52AP@o=Cs z9uDzpNaws7;@d!Hd>i87AP?u^_`Dj#GhPkxZ4l4+Hqz(ekj{BH#6KZjGX4qiQjmx9 zQhdG&;yGW%=bs>+@lS}CLOSQAXrHe_I_IkhpMQcpjDJGB6w)~_h4?DS!}u!1t0A59 zYLw5nK_14pAs!CtF5}@4uZDEat0BG(;u+tDcsQhU9uDzppfg?#@oh-wd>i87kj{BH z#213j_(Gn~BZAI&M8q#5o%4%`F9e zFkTJuZ781eZ9JccL%QKS9G`zeI_IAdF9q?8mqL6M=!~yI{1fP$f8z5}pfg^I=krxa z=X@37pOAhF|HS8|kj{B2#8*K)&8Vz7Xk#@r8&-g#3(0MEoMeGky{Ag-G`p zUx;`_q;nn-@r#h3^NW1G5b2Wfg@{Ll{ESB=eSQ(?oL}Vnyc*Iuug3HFHptKUHa-sr z@tlX_^J+-Hg;(SAZAj;Q8{*+0p7C&qS3|nwyc(ZxLptZ%cs>t@bk4(Zef|mQoPVNy zUJB`)mqL6M=!~x-eEtdPoPR>R6y#^T6ymEOp7B+Pe*&HHPl%TSo$*p!pRWR)^HqFa z4e1`^)d-(&LptZ%5Dy3OjE6(K8qzthhWIwn8Q+F@IM5jnhj=xlyNp*ud>hhl;oJB; z9Kb5%G&icNxEkcr~O;#;YN|4e~I) z4e@YDzlDe6^J+-vyc*)$AfEAUh=)Tu=ivySSA%%Qt0BG(bk4W&c{rqdjE6(~6Vf^V zgm@{Wb6$$^`6|#EU&Z+R6Vf^Vgm@{Wb6$$$^Hq?C@l}X_0-f)5>70jSd|nOdoLA%cd>hg^ z--dWN$isLz#1}$5;|mdwh;+^)B7PC+g7J$SpDzTR@r8&-M7m@=BH|a3&iO^e7eYMa z3lWcqbj~9pei7-MUnG294e5&UYKU)xJdAHcJRH&mhg^--dWNh-W+;WFNOFjq;tLs@lT*L{t59?pfg?y z@l~KRzKZbqC!}-!3Gq@$7mSx;e7*|lxA0YbUJddvUJdbWNauVT(m9Wa_(jke zzsU3XLZoxP5b=memyAb5{36m_#xL@Gz7X;-z7X+<5YKo-#4jS9^NY04t3e*ltMU0Z zq;tLv@o*5&csRtXA^jF!jnB7%&iFRO!y%pXaEMn!x@5c>;@cn(71`Z{1ehS|HSyb6y#yN6ymEO zp7B+PS3^4I)ezr?bi?>I#KR$-^Ki7!t0A59YCNBBgLuZbAs!CtoQFfa8suTT8sgiK zZW!N&csQhU9**((LZoxP5b=me=R6|f7m?2SMZ_0EJmU)ykBD^6BO-ng>6~9gd?DzJ zFGM^d(m9Wa_(jOi_(jC4A)WJTh;KtW=i3ku2l*Kfhj=xJXS^EX+aN#V+Yk?jbk4&e zUJdED@M?U%4e6Y3Lp&VhXFMF@pCF#`PqfcVA)WJ5h_6Dr%lRrk|AchTKOtTU>718B zd==zjd==uKkk0uh#7iNa^HPYfLOSQG5U+-G&Z|*A--dLT@ok8QLptZ-NS{|jx?#K; z;@cn(^--dWN&>0U$_b5%G(VpYe;7&le({^M!~Gl!yr}`t@@^O7%|M-L2&FlN?*R&*2z z`gf0S#;yDAo`U{T{#0fyEmgT+CeZSB|C1A%?1)cZw^v*EayKQ1FEeRLM0~|`oMKY5 z@P4~h--r5gOD&Jj@x)Y4e0BYIub;w|t83c7Tkn0nbXBv&zr0`iimK(1uI};^kW{ zOc&O#IJIN;*Yn}mz-B%CFN7o z-hnUocl&qSZz(_J*xOp}E%{>*)Y(kGpuWDzwl~~ydqa!O3a7`A?zYMLck9c{|Nhs6 zl&>3KoSl&U;yeJEHY4RV{Y#_&>yt;~HU3PcZ`Vb{SDeP3b4gS#oQWsuY@_n^k8d7{ z=40!kuF=-xK91WOA%FV_zMS`qM)wt0Db22a5lP>oZGo+nUoBoOo~6GbWsk=<&zfk=;Q}52&w{CjwbtVq?UAXeSo#I$HJ*MNhefkU8s9cl1@5FHB z>tj#+7EZr?<;Rifw|hSgSH7QvYQgkXzc9|@ZmojxdJYm}{okeydhA>9CDP>!lrMRI2l&zx z{|x^;?KT~MeA9?#ZQ#p1eP^KRD|8%U;<`Zge_3WtFnyg2rZ01JeIV=0Ie%q0osYa) zci887p^lftOD|)So#aced;4&Z&X=m^2KbVFG6u?*_;eqh6FZ9w<9$gIH{UJA%lrQh zWdB$5E(g+=d;DS`eTkiaMZ}lL_QdwY80YfC>_3Mq$6c@??D=1%F25^W{4E{)KMJzh z0Q)?R33^u-sDFa7D4gCpwia`IF0$?snO-abE`mht2G?8go}&Q-H6S0L}B z%;E`Q?}xn}%ezIgKH{n{@B9~GeYv97S4rthUmO;Z`6RCTh-Qyivbf(pU%b?Fek z&ro;d$M;hSKEMd=s3%?zWdD~Jg6Ye<6ii=Y?!WUTTfIJ^?KOnTA_MP?4{mozZWwV^9Rb8C)(Tka;^vJ{iNLA7QV!izXIhe)NkB& z!F=E5?g{35Q`0_}zMN{oY)3J;Htu)ad&&grIf+|w`+mAka`UCf{ZD8-B=yqWcgVia zJ$Y}S-skFy6YYKL$NgXXK>>U5}ZPHRmMc zz9*qJ`F55lf&K_lob9go{!h4L1NHvTdG-MA=gg2d0`)%2?NJKtsFu|WR6B;ck$3*zy`KriC)QF-3Z^e_ zPB49m%dz{?pLQ95>+u?s19hFNyJa6pzC1H2P`*O_Tx=*B$m?&lwOAm0nE{_@wBPum zmJg8g)e$_yY z2k~4+_;Q{Pn6LNmfG?e|Mxg3TmP!F%qHwT$g~pA%_Z;d=@6OuipW`*OJ*k!|&szAB zE2|9+k}s2MgY~sz#E?Mws+Jn(0dLiq&O!1O>OZFFvOt`tLViL^F``bed}VF#Qv1n2 zat6!SjS6#fE{=#Vw`8TS6QkeCbh}Q3E61EkxhkA4j@~mpoF3{ww`-}2p9uS1m|H$m zSYNlR+_>_Hd?_N*-f@*1=k|j61L@2Bc*TCN*0Xn_^qV;A=|+Gz?izflnxzBf%Y8e= z85&<=Y^E8BG0y&NeVL#BKz(`dWSc8Ic%+^=8oGpViF1-U!Szk>@H3^b0 zHKJ1>+tEE)b_~^%oH96={r`?Jfvh*L#L7VVk_XD*K3M*-IhgHua9^P6D>RRZhl2V2 zl`J33@72^@M*`W7-tcRI^rh#;{vIgQ4-FK#yZ4RQ5~S;wkT2)x!+4JF zwhq>N2mL=`pYJ~rEMKb3-SDNZRS(p8S^au_67?^yR50I%c=OhwzRaL2fqK60OuhnN zZo#WPgET(nq0{gs|2P|{_eWy;D%*~CoDbCdqtJZjs&aw6Zg8HC%=7)waVK=?4OG6KXydJFgGdJsXWft4N?km$gNb`lx9nAML&ZN$P8jqoNl%G9meeL_8S&-T>*=)6Dssu{vqYnvqu{&qe^f7XE|Q! zDI5N|p3q|A+E4uU%P%Nr?_*y^w7km|z-#1wWJk+y=DPdLMf^U~JeM2q1NipaweJ1a z8~ualGeviVegEdwxx=>C&f0S$Szl_qni?*@x9g3tzGV9a-~ovr8b+qS-l!n2*27`{ zj;4Cu3;P_=e6-GvyBCi~)R()o@BDD}<+fWARu_lsqQ1+Zk%y*mxT4@{_$kkc}>kMjlb*RmOs3XeCgMQCCYR2&~cb0 zGs6Gw{*x42$dA}scq1*%XG`!rDzsmum%8s8=-<2?HRsrmsHbBe;=JePD>9DO6YXD> z9AW>?w?1DU-$^*{r$Rf6YKy~;kN@gZ7D^R%TzMB4uL@TW-qA7#Nf*;rV}21$-<%#U z?!Wp{*V~7kKjoQLVRd&{A=H<9kFb2^RJ$TlU#9lfu=Qf*6$@LBPS$}nsD5Pa+?Yp1 zo&7j3sr!pXg{wD_Ic4JT!e*Up0bjF{Szp;Y>pK7Q_`6fG%)^-P>GvaLjC^1evzmzHLfhK*IDr~u6j>@f_~+7oEZLkBgQ@Bx50aK z0>;z7-OKbVgX>iHa{rl;sHcz*`FN4A@BKsD`BEQW13#wakr9#frP8E39iRN(*}^#Q zNV)ny@zVM6@^vqF_jvhI<-Wpq9kO1jzVSI8UT$3LBD0E@uekEXwcVr%=5sW)Hki-R zPOBCd$N5wDd8tB$Q){ZI$YUvge=JP%XF9teA#=#FfQ=Rdc}Zk%b{7uJp?-==w;U07}|xi0K+ z%&r>y-{nZP{JpUI#pxjS05RpzdgRS963@}(u=&yML%bae!#-cTnRUwX$n=MUEAYI) zbRUcR1h+}HXzlO)T>|Han?4fhKPL4DxNg;7rpEIWbE0yz=ZxNrucEy#N+es3x4b+4 z&aJqx3-u))ZI1h;Q2Fkvjfpc4zn#j?6Ng@C6N&yBIvzc`O|NqtS>!g#&oJ*uiB5@!_{+q z%ZYEiSvV@JFP_JnG9J%|-D7#|^-@%wcs(~%JNiYN?|A+MuP^!=&olM$x$tFVk9b}8 zyI4Dt>ej?_v;^17jUDCqoQorIe7E@8JMPP{<$Sp{ z?EQ$kzZT}NTk_m)A^E8A_ZKr>4Lg6i%S$BA`L1Ncu*WYu%(ml;)r0!J2i|L_slSW~ zThA>1wy!=E{`r8&)M*|0F>4;5og}{I^bPxbK>TmUHuB?ETpsp%{5C43i z)Q5QPE4mbq=yP9Y=jN*HTq110*J~!?x=)vWIce%^{p7Ism2Q!5(2ja?HTzy6^Q_2T z@7$~@`yajiJzN(v`9H7fR0;dLNB_CtxDvb&OkeVe$o#!8dGA5If75j{;(A7(-`hVD z^O*XzOxW+<zA&iTWZ?+wa{c|GJmv{Vz4;eOvO{7gjK(Yf?> zSYP`0zG2%}r?h_$QT421`~9aW2SlPhb=o#z`?ptfMcDBWs<+V68z(*Z>fQtOs1{wc z&z(X6aV%AaCGm=nBi+r-`lTtjj}#ZT!Iw94`s(=9pI56uM6NUSTa)bbuNm!aeYM&Y zulqDJ_0SLTIgXnZa-09-UJvGbKJV>-`r3UZqQ9$AWz*t*MO}H;UZ_PW|!&OAA`er*c1|5x)-9CmJQ_8Pr_`f~rWe_u`a zDHgWAOy8{WdR}p}fCT=>eW^aqL*Cw=`=~xlmsJV6-uLRhd|Tg#sD@L|NBMc`*x!fTlJMUNGT#E6N7QGz@SIxje=yqn4ku*>d!C9RomVVh z?C(Qj*e@>GRQ}3dcihnp^SyKIlW5P8<=`B#_It7Wi-MWi&#&!Jh-7b!gLw$)nZ`%4AJ1km#xs^8IyM~zZx_!Qk==Ehx<#JsQ zh|KpUyqx&1t1-d!C8{NkFK>ap-gOro#&{Qf=Bj_rSF%D>*z4i=)^oh$o9Eg=KE#xJ zvAkvfjXlEaw*=lEK{oIHE%{L|U)fDdIkjQf>rOfPjU=freOIl1@b&RCZudtSO>Oilg< z=k<`!L|fkRSr78#8XMAr4|OGzSJPSiTaOve?P9H-SW+% z-Dj9*3&m?b3)TC7UFunX*z1LDS>a1p)Hsia^6G34C(iruP=Pm=a#=Ubi)PQ)xbJ40 z9Vcz&Xyfyi?GX~>f^YHNq-vcV=SNl4HFFL&H4CvfT3S_EGrU)!+t6<1nuaLR3cUKlD*zAy#j z(akd!_eCN7-!4tmp?sZW~|S9;@Y2YSE<|MIgCu< zU_7diiX`ZLiX4_XQO;B9(1BoHPptkikiPUsi-PIv(D^|6Qr`sg_j>M(VAPko(%hb} z^9;syp~&1M+Vv`*U--Jae>v`_xc*<)WsX1X_3C@SVt$pAjzzm(jVr%-u69J;AIX#* zalPuE%$}h0qqqOb#JN7Z7|eM>*4rA$dBW5k;-lflyv^_w*T&@Z~<(R#9H>&Zkjdy5!tw^`$;=V!wZ^b-Gg|eBC_m>Ur^8 zS+8jDL$q?nwy@`^P+%f0WsQb?$%kHh+&-sBpEBBYzUiGdNqmW3+wglLx62E-|B&V0 zjrJbhTU#;w_X`oOH#OSwkHpc`cpmLk?i%g6w|il9to=Sx_T0(+FwWgsW38{&C8Av) z=o||MMeA?Oh`jgwh}gEX@PEB(PJaYnYQ%MXKco+}h*n>5B{GNJoE;Hgr&8d4+1v99 z<_S03Bhltb-EBL*uZYXv?cS~~=3hj|>n2|TU*6Sb(XKze_nuxEiTa4^ICR-Q@Z}7* zTv+qh(Ix-%VWL#*^J-iLByhVLTM*|FFUN7*cc?yNR{hggTxn&d)f?gyA6LH6cK7ku z@OxI7;Y~c3b4M?WS29U-C*YeVKE?^yM86rZ0DW()v=1gZVo| z^JXx8iGbFZ{_yJA_*}mw)^(2V9?;+MJefG(DaW^-y{5tRrB?;hmz)($U%GTKeTmh< z9FJ;IFz2uMj^Dsumj(1XRt5CBUkCI)Nd)x1(riuI>)4pasW&f}zEnVcnSeeQGaG{0 zjwYb@mHNhgxR?Gpd|%>>?1J~&s!wG2QTnSi@p^tNUr&SgiC*5i`2NznIN`Q_w-}la z+~X(X_5MayoPzhnZpN4P(fyR0Vo9vuE$R`cVtt<$^1+vG>$ju5XX4xWy18qqeec<* zKitS zPEOzXOT3OZu5#nrF6#Uic3yJ#W=4NEcmIm-e9iCMhQ+Jj##L|}+r^fAVSf)K2UN%V zem&w5e21n_l?&@Xj`RuMET1?1!qtN+pV#`DyBNOQs6ora#U;4l1nwvr|BU((Ki&Ad z!;h4XNPWo)E#t-cld~VgJZk1NK8Sic&@}A$NZ?`L+|3(1I$n82tvulHi09kkdO{@o zEh6JlT(}mmc96}7;`ifT`SUnGnu;4EG9LBDm%@&_n-$9bBXSnRc|iPC5$))0cq-QU zUOn3}LG@|QH3~bgGdnj|WwAAAck$DD%=gapBe9+z<^H|#J1^fT$s4jG?0N8}5%wSV z=Nb6Dth;a-=2uny)mX15#PfL)if=~0^1du%zeg*Zb!s?YUWMt2@*SUe`UW4Tz$5rR+q_&5zC6zb z$1tYjiAk3~jJrL)e;tH&R86v?9mVTy?0sbV6!AK5gnY_f9pcr_a&q{;pQw(tM89_n zY(c*_$Lq%0??dIsxO}X6yvBuSJShBl*mQXPCS<=`@+NQC0(o-ewf(;0>$q;cCGKAe;?a9i@BcD9&MMf@DxOCI$?s(06`rQKG#x_pW3zw~*3%z1( zM|Z;b+tN;P9$)!ihLT^se=pimJa{qIcGM;N+?IBV%a@*(V>WzMZh-4TbK%ceza!Rz ze-A$o#!-;eC1Y)`n09xsZpJ(zf2$mOeU(jNJy7|y-oEcUT%na)p#P-a`o<~ zZ|l4nvT@6@ec?}*Cr}0e94A6qy3J_^jceN9Y` zeim1F#JBHiSP1>P++p-D@!@CD`d3`#%dx8?(*M*{If;C^r8C)j+Wug)@fepcy{XRp zNQ_tSo(4ECo4SA6=ZA$)MVr6k@+I;X3j4k%uKoV)cG=)AJa=;YE{j+Ha`)9zk*Keb zZ`1O|@22Kei=VHbS4E_Mg?!1m=Ww0q_Io~FzC_vwXGXHV^k>(9rTn_Z5?n8a{KmDE z^Cm~6--pW8vqs{2T3yNlY&*c%Vuj$$CeMqUQ@wyMulhelfyfJj#30=Bx&Bu83 zvQ&vz|I)de42)!biSM_GY_&@F_-)IS6`mH+AeCZE!%}mPvrM~(BzPt;Iqxn)7 z+Tgj=e?062?=Gt6zca!&OTPWc5UM9VDOmO8K2!z$%X=hP{mZNOD6WT1s$szzkM}-@ z`OC@nXrSgV_u)IgqW&e1t_f7Xck=%F3HfqMp9+>Q-xK{a1s)63?>*(39^azAcJ~WZ zeYx+q$90yvoF!1_A$N%VyB%(^cj7l5A36Fl)pNxEovazC{uMf28S5NY#KV2IrUpJd|#}mP7#~a2}vIfEQb)-)qeYuMR>T5#%K-QO6 zJDC063^akPFMW1HAbq*@Mh4QCIvUJ&bf4H5$og^@Cv7{LH#;rFb>Osn@LiC+zXrZn zyLq0x@gMW*EBKux*CVyAUl6!obl+&b1=oE;?&^dkFYv(+6ZJa}@8FYo-lb-ZiS_-V zS)K1#Siju=ZCcmfR$R}!_cw^umnii6(Zuv+vMj)N6JkT@Sl|EXq5Gn}XShw(5@Q;K+6Y<k9+L%M4i7v_2Pc1P*2`n>F|Am z=-)fqdv;y4D83U2#V7VsJ~18d(|Eb=l&eYmJnZv3yZ*ENLjKg5`bqm7C42ie;e3g< zpCpa1=GhvPAGcb@u=A?d>a!$y@28&j#*!~1b86I=+}!Y=^`;+q>BK+RL+u;!<-?z2 zo;L>$;d)w~`Vc;EmOJTK;-0r}6zpCo)QjrFE7YcQxO!2^dL+qsl(Sb(gP)6yJ`L;Z z=T8#1f1O)dihP&}gTtPGZnoptqltPRGRYU?eo>COC)VF@mk#Qkl^$1TfzT@u&Vj^m9m{z@hfdz~8c z=bhi1B<*Mp6twq|AtP)lPCuHs^>w3s{lJE>_dy|hvT~oqt*@`{!~AYqPmOh+5UH;u z>iJRbXxE?mmq>ng1ufk-7vOvps;AIWpKO;T_i6g!(tXhXLq^!rY*>*b=SODamQ|g# zb<$iH-r^*>U@H9)NMFv%SI)-P&e4w|@z%`Vvq@WD;?)6p&;%;`hrw*e z1MLFoOZ?d?kiO*jCc*S|cgaBdGW&x$ue#N<1+uWv1dn>)C_)kHqFTFhv ze0dGu4wkRAH|pzDp+Na^FDmpe)38dQ`j@WpC+@f9q%w&+9*5_y99w_ZUAkeO(5X)k ziY@NnjiTEZrIx;jey{#|Dp>uidtEyokEaWiFL{3p>nrD7f%2t?q{H(Z-Kuqx{{ENu zOtER1J#Qa+HrD5Ne7{Jq%hwLu>zunYcL>sWG)q17FJ1l*yf=+>J^b7J-tkWGB_9fw zFSYP9_!0*$2dcj0j0Z3tP1$b(H6G zJXETd?f0{Tb>8-(%EFhsKX0JUkLq+8_;J&}4S)Z3-ivgccrM=>>hJR0hl%@sG>!vv z_a4FbVP4I@ljQwXjP_PMF`4R1AFL9n=M?T+)|Z(ZEMGFs3nuQo@(prFx)z zIh!|OJnBD_t7DzQPvFBc=R@= zvGe_~V9ocUcslr!yMlFobgE^r<1tmhe66e9hR#3kz()f4K3T2k7)W2DMWC7`~x2Xp>1*MfN+t@lk2WWQG@n+MXD_xxo%Uv<~z|0+<=r5~~1;k%7j zeH|oU=J-C;m)!c%fI#_rwniZPms5CLAbq)Stqi0uZ}VLAFLU<%$RPDE=h8GgPq^=^ zAouWm}-?OTHB>eskzWn;bAcko{ggx+;*qyjPCd`Tp)|{esl*y@APXeLdH$ zYmj`I^AA{G$z}xV`$s+W(?Iqwm1=GveTmw^R`*%Hb z-hzFDG#<4+Zs)ITmjmU?D|-sx=eQ3Hi zDB3aq((OU&U+Pdcj7N7zjX?eWM0EMq{{EzSp~U@tW=stj($5v&N$n?psdhL>?dZ;Z z4Zg(X+JW+=uhoSwZ%3&>`Eruwz<4y3rUhy|y4iAKJjyi{0yQ4Zt|9h%V%sx;8jm_p zxji%v-GV!DJ_-%fq+W`rw!@Fxqze2cwVzP=Dsx(lL-X-37?&YEsh8%jJm9%`t6$z2 zsChMON6QJA_27~~`D*fOAB` z>R%yWI$6KM}>>3)FZt|9fB&)tCNxX`sfVeDfH_qj+ph zAjhLKxO1@j*Np*b>MRSSFZq7J-e2Y3`5EC2gNIgq~0kJkd}ON{*^ zkiPV#!-4eWrHu-vuTRbf)7R47!SvN_Y#@E2&Szo5W$%yz;Rqw{%?F^lV zBeuMLJnZvyaYlswUPb*`D^cFlc{Ot4Jt{wLuj`pjbbZPHi4pfr45#zB|GI8kJRknL zwq;k`hyK_63Ef|AS%vS6`2PRL-dV<3aeIAyutJgIULX`J6lk$hN`XL&7m5}w1WIuV z#hu`;i&IK~g<^}l26y+x!s1SG=lS20z58J=xx0JsUO6wGeKR|AXC~kI<>cfflVnu3 zz=OWf#W7v`z6eQg%tunc#xWBY%}sqWURQQcV$_RQdj#zlJHLI)H-ERv#B2ZEQ(NAu zh>=Te7{1$-K505-v+1~}c4z2U>qUksbNIBnh+|yiSU9d5I znr^jGM{)by5?^pxh5x&4N=H=QVEnElt6Fo8>3mP?Wd+_f_QR?Rw`LjBFOjF4@wkV< zct|X(Wax1_kF4d^(Kfd5ng|52Pe@9d^-`M^1Lq_}Zu(`N=J4G6KCEj)! z#Nh(9sxL||-lsE4F1j-G`v(p>I^BKsQ+HpKN7~_cm;8iyFc99KJLUG!5A4KPm;8i> zl8y8>{P%e->1FNO^1Cnc(YmO|c{@G;>9o|CU-ZlfpUkt7weG<IKEBNuPh&L`~)XU|1aA2-%RG-Gm~w8xxr$vFQR%Oep1@c!P}b>2SC@|8B0N73cs zOrMlHXAc-ZzLAR*Uh0#68)sPj+w4Xz_B?pDKlKs;3yt=r#x7pyPcGW?S7Ui(*`FE9 zBYkmox-WQDfd1Z~V?OiRUAFileaCd|`{dGHqkY+b_t%!yDv2{L%+?(xmzX>WB^SGf zY#p;ugBC-ppwx>G3qr{yCgEHs&x*MerCxI5ERH7dw zT>Shis2@qmx2U-2rW25la_%Nv>j5{cgwpQSgrO+8WZB1HU#wsoQZ{fRxQN7OV z=dEgg#+HBN==Lj^@{zvCcOJOvTs4jt^|~%j5>OqAgI?;^1yp*;rvHI`@y5wdVai7< zbqJJ4+P6BY@+gN5(f(^@VO0K$H9ZOWCzAwdf8oRqeSMfsTcx>L&PK&W(k%ckF=0L` zE>Uwm@QCw+QI$ttZL6*yvp&F89$)s<;}q`yhpIf%xk1{#YR*GtU%c#I%{6fTOn>L3xyif>Et^NNXK|_=|O&h%5f8 zSr_6}@$FGm@v7*s6ZE1frlHbHoynrt_Z(OV?BCb%jMMZ6CWi56Ds~24A2~hIw?C+? z=a+$h7`h$$DSVr{^VH=1=98eE)=BrzIX~04zsN=w^xMm?ZbQGJZ&P=k8ryYp80aAqqii=b$3h|&?I0;vI%=5jjuir1h<-ZzQeQo*3%7=a*$hj%{_Lu3S zdIQ&v=_f?{ODMUd+J=%#1y4Z9C2}JB4oPUh zN^_q;sTb>Y1SOX|gOf{iKaWx`b@U`kE?!~-N-ir_Ym{89@UJMjtP(|0aDfaNiVe_ zxwiW%XJ9^2RQ-#$&r^wC!aNE!KM~BU@OFApy+2Em7WATv4x-YFZu!R&zW)f8PWj%|h{lt@dsJK|WYA_E>#;<4m z9+IQJzS?JVo2aIAv!p$Y-(8ICxxDo|{dx6v8y9bx><*^# zXthlS-z|_!e?v76Umdpow&_H^-i~XW^sLVZ1J}#gDEm)jpPHz+)W|#V9XZy24XS+P zFLrFT^KU52qd1TA`vK&?QmE|SqIY0?0;wN5Ucv4-{Jd3- z`YpHFyB^PgklS^)SgHkW?_615Va{V4kEj-=srp=s}0WiU_AQ*lzNHm3?~=TalfMWX`FhM#koEPONP_m%Ysi)=A*iSv)v)q zyhW)OUx71@R`qbktGq8xE}0oAS6ig^bqS|l{2op&aSJCGUy78gD^4z!948kUi<65b zLCW<5PQOZ?Anjkx{2XQc#fCgY$;ETw?3YtBkoGg}$H~RBs_ z>o~crlQ_B56P#S^K29!r1t%9Df|JY2fs>21i&{OTGGx`?Q;NM_&*MzK6UMdK$J0c0 zt1{;I=zJ2ayyPjgS9#ae!O8C9e(hRPFjj zcT1iHuLYh#@nPPpnpXtoAGvy8e!A2}x1J}Ggv5UvfY18!mm2QeUlch5>x4v-jLSds z-6w)Tw*{vLy2GWW{{i#HT~0WX3)t&QBWyhE_{HIFaV_oOo$=WDQn$15$n#mW--zTn z9Dk;wyjS!RSvNubLvv5oxxcxUech7SGnkoA7MVAJ-sMz<3IIE zd6Zx5gL&wr23hBhUMlT*ulQBbAPv;twB?Z9HZBpg6yn9G>LtE9;n8@)o-R3^8RiSq zhM%4Qu8zrF@?&(#E#;2R_Vk@?S+^SVZTDrPKUwU~{l(lzcig$o8IS$Adbe-2?Y?yW z(k1TPpIrFeEB2*&mjORd&LncHJ;YkB_o%;@BHehKK4e&8m?v*t-qP0{y{vS7J<7#{ ze(7)HkYz4za*HR_5M-~{uue$muE#ct9D{a|yEkP21$f2oS=EHlj&zrcF39THIH&H= zX14qj%Tv4LuN?Ws=jXhl7ai8lt#WARqw#upRf?AmO+dXG7doaF)qT45FiI}# zzoJ@yoP0I|;#GC@_Z^t@Vu=gFdp;JU9IW5tv3!W;jbyES zz$JTEK*hxde+OLZ#gC}C=<<1BU!-jlRQ9EQObUL2&19&`ql&jn`>($8GICfrtZ&`tUnycd@R9tjlAK;P+ap|QR>+&d* zbjMX5t8a$#Xl?!qRe2-@uITcZCS4Cq3fKFEeizr+${|1U&a>}{><{kdmX%Gnz{W-2 z)bUFHiJMrK3d{gpY6mVZ+LQnnIe?3c*S!VyWj%O{%f8kWhVsZ0wM11O$&l*cPi5({ zsQi~Wr|n*D@b0)dSIZ^4pBn65_N#}>Pn=Jp%VYWasJKLj<4_(+n^-zNbX9OKoiEGg z(BtH1c0g4gS+yEa9!30WsLCTv8x!oy8u1${`%?Yh!Z<*B3>Ozm8_Kl?7Z>fi56Yt` z5*t-{6sa=l`Y~rGROQjSUkS=1D_;Xuc~nVbLwOXdaQS=L^;6&?uW{9n{AOa{;(2g! zSueA6fqsd0sd0`A_^B68u7=A{a?wt^QF5sodr)#&M{siSUdvJH#nvM$kF|Sg|J4Jh z|FY)bv@hBLCl_mplZ#A6S|026#^oo9Z0HRAt2ff%;tFlYlh!!xi^s;vMJUdAf=+*O3XL(fr;{1*eYmSpktis8~MsG*y@7bX_D7i$I1}M4s{SfG1rJY&_ zK)-;O`oCShtvdAzxY*LG!!U92e6b)OdBZh>FmbVG9Z}ksXtoq5*C?Fv7w>&Xm&Y~b zqBZ}))$$hE`6P|@6SD6tRDOcx)8nmZwfd;I#3yZW+Wo;Glw4MOob3*o{+X_aPW(6$ zlfSnL|EIa=>d~0E=#KN+e;s-b>up5lSA6xmNLU}G-II-hD7jctobkQ2Z8_MND%5ob zCcBqOgMdpUX)iEwk)*4%UYW1Dw=R~K3aF|zS&s)ekssCkCR*f6Shs`qsgG*BJKL7- zy3MZGslCTB*_Xv1oVD?&H1V!r;*$INg@9feUj<|0;-kI*o%odXpqrP9m+QBUUmVu8 zV$(i3j7cx`M`k^)cJ_nKsJPn21;5HObX~A-CHnO7=(@VD z8+!OFM4POdYgQXnT(WFcSQnWdu74DheW_aqpnfFV_DW1#veI=OPkggITI<4vw~pxV zsh}UA9-_4dox`LTA6Wvp$Rv)6i{-tc;|ZD&mH%Ql(?k5FhU`Waf60QGba@=hw_~y| zF>5T8M?SDQs`#G$-3a`>jQtBLf6w<81TNL)4^&)aSW)2OpEX9sMR~eCHhZTPUwUQT zQ+GW-z0n)i(N}36qM8pTmYpW zy0!o=u9@8-9wc+d;3|*lGwOJv`3scgkqtVGD<4A(q#)Z+a;ZimP;tq?R4^Zmj={CQ zD5Xc&K|OSEC#rZ=4qpf5Q4BtcvOJ19B~aN{Sp67W8W-1}(_7i>OEk)ciz`$x5_dgH zE;=X#B^T-W2ql-?f%LoNtzMwiOANY=l8ep8nUB^iocYM!x^f>TVsDU z4LTI9?^!t{<8+sv+Y9mQM<<+p2Jev^kJHq-eKJ0amVbT7lwWLcu#wA=(_8!E`RHRN zE>ZB6U)Mn)EThrx$=C_-e%?_J(&grS({nhU7u|i4v8U0##29kZls!XD{+_+#ed(avM!n?G zB#V8Kk94?PV@iiCesJ4#TxFXv-E`dXxuU(F=O^QMQFdj3kt^EiMezo-K!7p+qK!)$ z^D&CIjrM7LWy3|Ld=Ur!G5U#UCm6*Wh_w}r<%?&`WGs(Sylu2klT8AR?Jk)shF`fz zoT9Uh`Ix1cU%BLlL<>z^JnJ35+7}~j^>`fzi;xZW`n5dDEFs4EC*rhczw_+y*lzFA zj`7U#m)m#r%!O=04V+xh2jb-FKN}^NxHJwWm-W0IN-mlY=Q=2AzzUptWpVF)h-bW% z^Sh`j6H)4ARY0~5U8sb7O=XmNiR@iba*?6MP;!YQPWmyO7Zu<9vQMv<9M}Bw zqbIb#pRpd*dR(ecC6wjSIyn?2myG>dm&aMJP}x2GPxr6VCF4+WStH_Tzq+~tDlWd_ zg03IuB^igwuZlCjptO6d;$W0qjK+q1Wb@uE#*~lrs*YE!BEhJ*L{A;Bl0ku}xa3zu z;Jt#nTzCVfe6;RfhIvo2U3KF)KX13koZVkE{ZEgp{U-S-OnULa60q)-`0)a&bz@Y< zZ_nFw5=BCcKdJBVJ_A&LpGm6xDA(jEflCgX zkBUp3Uk5yV(-2hUktf}%%j5kAsOm@Scuy#gggru4KU&|<*Y@=emwkyOt2Ec#*{JMZ zq&f*)Bu@Y;E*|g$)IXxZ60m=7`^%`_pXMwH_D=6j1pANbb>2QtB`g{Q?V({`LH~)j z(~Ii;+1ND0fh*n{R9y6U4(KOTBW~g1syby7#5c>2qv9e3t}O$uKej=Cc~tY?+vm~E zpKq~o@w(|zl}FJq56qud8495CU!q!<*^rNPA}af0ll1&J9y|~gmqBNI^SCB8zo z4sd9oL)%}%sn;c(>+P!FuAN zxZD!e_-)>JI*bQktB3BzWMAydwJ<(f_8g6Bet=a^&l{B)Goa#9=U0PXBI`I*TzqyJ zSQnW*yt)gMeOU_w^g1W68p3y6vG@s^Sg!*{vmZyb?vPA2U(Yi<5CroMvFODTF99xj zawaM+nzIvd(OD@kV6uCaEEbeUS?#e;zPA-sJ0XjELwQvFP6qbH;|HU%FZ%i=%){r$6TrNDZFW{yHV*S zHok!MI#@s~zkaXJQAbw(#8z7zL2eGagDIY%|1N{?4UtwWam`x@6;Rd2wN5{;+!^|D zWa&>(^|PuwSEkzRO3d1gDj!*gjSvsAcFl3kgRIhfyG<|Nf}kpoEXTLUZCva|lk1rL z1gp_le~*t0L1kYeXgqMSk%Mq?ZTJi3L8`z>sJKXt+snc3SI$CJ9<9_VwgK0R?zqb1 z)GChP}M_rG3YCbl8XcmLdC_qpBn=9)guNju1vMy zJ9)goZB*rv?<@oHJsDdcReW!^d%ocgs(iF_S@WNuCV z&qK*27t}||MSI*w$z^qUhLVd+e2tQe&U=HBOPzj!lk4m~oLmjwqvT>EadPpO?@;PR zy5QvE*>L6~?T?d7)W^xiR^qfTvi>c~@~9r*><18~pQ6-D7Q$IS%7ZxLFY*sgE}9Kz zTqtkh>@Q>qpQ9{~>bHj|xvU~M>ml(O&U#yp#>piXj`wkQU#=>?%5;C;>024?PR1Dk-_MZwYJ1i09rMq=FI39gCOyQbuh-g+laWne{JZ^p zUu{|DeK1e-qx2d~g87-E_(;ESS#_!#x#-e^J3zct;zGjhq2SHTbSFPA`m%3*uQ`;tq>qDC%N@C4XB zWy4|J0I?)*g!8&-(H@iC;(lAqB|G5+3uk6>0OIzo;!=z;%4PGq0eUWup4 zwDHDz+bLd?s=7R;Epg7KgIM}5;&pYJj2rBZUi|d4BQ9Nc>jsoZ@n`K|xUSKr2;)|s zwI z^T%MjSuS+t`i}sd91sJ4b7?&SQKl5kqhqaGYOXtYc)+^|M6DTEHW>{s?}R zmAzw(x1Gok?Zf<5szpW}-UkAg)o>$lk=sYTvaSwK)Np_)eO{wXcW8JlSigg+%3je+2DC8h;_PwwpT{8np~b51w>=L{ zH*1{fxtv`e)#Gwm`H80cip>{|@rx)Jbj5bQ8a@WN*k6B+GF>0l^qrk2#&0$HMR{|T z@i_0Q<3(QZABgj1%wiLE_CzB2__xLvGNcXsZY~Fxl~tnMHqiM)5Ct8WUuF1 zxj9)2(zjo4-}1V#Aug1wGwE_U^64fMzy18kw&LA5m$=jyi;QusYI10ojYGCR3S6pp zf(YaL$hc^t!!E`D^8OFTxS#wy1?*kbNTlPhQi~&uzarye9iI+!MQ_#cGhI7FvhVo z<{TY&KV1U4kYayVZ5aAa8QXfrTKRa(pg&ZmzLkmvk(uopl?2f{t}Y;IMk1{AbK6-28{k*|*$uU-H!h<8dowCg{b!3^{1Kj?TL66}{Afv;Ua5#IX2VO~=_!?I4~Y z@3KHUPHs+NZ2!6`Q`lvELNQ~#9d?4lKdj1Yh`-d^Q@Wl0-GQMd8Emsfuc>!O z(;N9{Jz3&fK2F*RJiKf*@60(EgxUig1BETt?AYFzxp}V?daqKS#=c3CmXTr zs_i~>+k9hvZ$DqfnY5pmMV$&K}MRMU5M9{J@* zh%4An>$QD7`z2gH(wb$A?+5Jnqos>S$ZbE*)vai-<+x1`wfJA{Z{lUI^`SoUN$N2l z?mOO}_RKpzqTe0QkLteKx=+`a3xh!~R{ZC1_QG=hw2`j3RVvMCy!Se{HZ!$ z4BC}p35Nbd5@hwM{}QdT!?b(2K|a8{Yp#@$#_K_=M3O(UT9LM{LhW8pINwe9kb?(0|n4#YX=j{xrXzu@3#P z!^T6?W()8pm$l%N{-*o0CxJJO$5S4G{w2|-yjT4a3tTE;9?c$&o(_z__N*LBSUf;pPR&V@_uIOeeKt49PZ&w zE`H*i@%;fa&Uy7Lu5a?i)q0d$IM*YjpW@U@ z)j-O19%p%ECvcWW`h|P>r~8qy51~mN33Yq@P?f zaym1O zQAgRh4sg+3C$)VYsO%N{V*MK!xnxioquq)1aiKhtb}gY?sJEYcr9XiFQOh`fOSbH2 zJZ`nQ0sRwlR5N4$f!z$EyXDi@D3cwDD$8e@j?3MDoVOikPan-S{T^K&`}Lx04DAJNLO4*E^ly@kep4Tsyfy({)5 zxo&)JCK{QJlXiEH+K$uAagBPq4dQU2$THQam(_SwCli;f&=lTJ(b;X*!|&qX?xyn` zl5u&LWoGA0_oYdmn)`L7rsg72-_rdnd*^u+#C&1(d>$P4LOTr-UZJ zLpDM_J4=sm8*YpnoSh%llMYKiT>^s~RfzDSbV+dfQ(lt>b8-;s-6T{Z2)^BsS8cVG3q32``ETnD)1 zwBF&$BfEP#yuCRjL~9=(;|(qrHzvf}YHvp4dID@kDRY0Q1D~gNY5Jqk{ubkJLEOz+ z{XP1_=a==0xHXP0x}0ozRnSQWKG*G(n>l~{kjttuFhcu^Zu-uymoZ{MyIj;dthpRc zq!kxz2*>I0ySH{#wl%tcr*4_kru0dc+Fq&uoIX#Pv)ybQBGFUbo}4}m+To7p^Ut@! zyaC7K-riSqH`o_n@&@eRF+Fzw0n8h7Jnr@VrYBq4bfe??fqk(r7KHN)YJWPT|L{6j zXaXwpVX%LhcNO&agr!?_lUw7a!>*6!KV-xm;8KHT9Q@G!`H-GQyNhOWQNEm%d7=H- z%P;nP$Ytex=bwE1DQhDe2RZa3=tV0X373y@W>sT(i1Guwc_L5Taj=bx^-|z3M8@ag zxmH#8OFptbJD|Oz;uO1N;}c)c2v;8E)PBdp<*S>|@9JeTco)R0YS;?szoxrOgySNq z*XnssuHHDB=d({QLtMz%(91SmDz6fmnF*U^0@5t zaCRS=?&Qg$aL*Ch`BD9y#{CJnRQ-Q|i>&M95*N!=JDfd6HQmV0lSjtFx*crqYv2;1 zLAdf5+4ZDGMZfqFM=o*)=Xf|i1}B$ngmYY@D(~L-K}UP=^ghXhlZ$P@nU6x@w0j;K zCl|fpn|x&TSI@Q8%W~zH(C$!$PlSu3BP%ylKJ!YugndJy-64NmqHKJu;&|7%CRKuY zv61n+`a8||1l|v+?vfW}b>DK66#4u=8sS zhkgLHyBw_ZPKyhd`gz5vbKYr>Kb_s*_Piqdkc;r#t2%}22MFVL@{j8NOplLp@_Td- zvk{enizNGgrz`m)Zm;la|CmaB6S#Pe<}T?aTD|kCULtN0-EUGgS-5_=Nb_N5Pp|k1 z$8>3q2M=7yN5|{EwNDa1L&>EQ;na)wxPVeGe)2L(E>ZxeUS#4@WpxSO&5 zQL(eacmZek6Pb5KlRSa1vXt+qJ+@iAb;N1>mxgG zkr@di?57izmw2|na8sWlHZIYvEwr=L;7Rb_N~WkAE+19x?%~GIIbd6=Wspn#c#hXQ z?yDcO!gJDTo1i?B(T9xX(Yl#G!ty3twVL>$Jvyf2>b?lM4ds!%`U=XU;9ZR6k^c8r zgyl_Kj0NptSJQWPKEH5|+n$rpJFLrN`+mBeHfe6Sd=zKD3jhAr;f7@G4`8PbhoikK z9?XPs03yNeQ*Px)%JmWI=`NtUlt=4yCoS-~dLNnmShT*YR)#r}td7?>N@Xu<(eJDqCz|5<*bY;1#My^Qj z+jU7zPjHjLyR=>>#zMc13fAMbtP*3mxz8?mnBca0TSsgOgA%ifo0UUsX&>A7Q-gZhBF^?$R}FM-2*rUUJkR z&`WjsPUmlwZ=_G;`G4_3Hz*Vz=T5yNoQTt4nc?ns?90 zCB91reqD`b5D$uRIZvDT?de9kZSn_<(~9)G&=Y9hJzz&4ogY{a#?y%JT0uD^KO}I? zZXIq&Hg*Sp=y2HSu1aqHuC92x8tNfgK0CyNq~Rdf%DF>|;_7bclHOHP8RHLDxC7MN z#Xr?OIo^SEtuUT%W#f1UkuIvgmj<)%R}sd-AS=@%bI_qrA)K z<_9kRSv-hWdG&b%jL$unLcfo*8}n5C1{$w(c0pvvD+~uN(jX=1WhE-!$8>)gdxb~! zaE7J+=sV4pz6iJo{asf7%zEqWf=G_jQ-Kpq&lAaIAN?#}mkzMqM+S9+^2qq{XmNd% zfSU*C^k3ll#KBa+Wfe{xAs5|$Xrd?dhzwU`=(!5gN%K3{6>GwyTx9WA?G@mh!cg95qSD$H1UsT$!c%A3;?dCb)VYi<#UZrAZ1AhHynYXArOyzdA5aHVxD>zJWgx|OEp;Uy?bq42JpOg? zv;0a!T`wh~;W*{z<&6Ca_Upa29laO)3~%`axajH@x*qUaf>FG2k=8wJdduY;xOmf8 z;q;2^E;RQ!uf#zrV`k_Vkj1xMxAC!|n|6F?7ySL*`5*2_#_6fw*@~CipOvX`!XBJ+!ysXM$3OX-tVLR&3j;60Oc7=a@m5YzgckuvCRucNdM6C8M)k9)j&t2Z+Vt49X0^O>X zKH*9_?Bb_h;i6}sgTH3&L%%Qn^M04oA>DFCI8MgJYzsS`cmH|-=#=~u$VXYUo=fdm zQ7D#I`w@7mNsy1^!jTB$>aYh2{fE|w=hb;9B;RvA{_)tSF8K*rj4yV@9vz=6vVGF# zFz7`G&JX8TY5t)B5v9v|<{KH&?~$b&+3%c82EF8!G~x6j>1TMi{)+^R4JiVCRc;J+ z$$#;jiC23?FBPvV-1m_JF8W`|a9pJ8K9EP z{M<1epE(2b(s6dY+bA249Far!9~K!K-hYjM-8v#Y*tYs!i6>OKLep&NiqG!=m-_Cf zaQ;Ya-vaF=XR^>;ry3X>3%ro!p zDlU=zE3H?uKvY~LdY8D^+N&eH$wlX<((m)s za#VhTP3b!dp1Z^*TwHmdkA{5gz7iFemH);v8yDMO7FD~$D!Bx>tk^YCamgzafs1ac zh>I(KUGNj6U*|Jcf-$kGs%pHR7G z!Msdf1y{UEx@24cdgY3RN-z537Z87`-FHyMUqrlterK`+SG>xrq=ooi?!wh?B4@pX z{#`X9OE^D44_K3IcIU4@9xzM$uM>&Gamh8=#`u$q9xbEe=++s-arsLp$8=TuVGsPN zk0XzLpX42il8ZOSsh9PjE=s-Ft6C_z#Acj&iC0N*=|vh9w)qG4zXcyL`U$!enO=4W zwqiC;y-sgH$z@eIijs>D>Vc9=#F~tfi#1z`lk0e4oLqJ5pyaYhACz3`=X)r*toV;n za)}W*^&&6NqST9YzJ!v?${vi8i;iA~l1tuQgOW=e#;F(ShBW@lvk_-L<_yHi)d*+& zB?{n-SIMV6QRbudwl_*HJ{M=aN_v0iU%eie)bA0V^oel1I1k==&6oWs>fAIv?`P-F z`yxtLlu71OE?M{pyf-Fa_T3*5m$fm2Pr0m0mDbvL*zkdeBIdeqCBonB{XibtlJ4ta z{dk#kz`=;pC0%#=l*<|&q~~osjH$=h-;Mo;iBFAg>szjqyh8rx*MQJ2oW zt{RVfIU_|5{atWYHwVnW=bs$t_aO(b`O>Fcv|%8;Pgkwd9k+3?_UB-nyQ2*J)3th@ zpW_eS-Vf>m^|q{A=D>$K*^}jyf?z(KecxAGw!Rkds7t$`o>W7J|NSAKTr^hCKlBxl zLptPUX6;u?l?5TZvGudl>VEgAM)6RAXnD- zhwJgb?SN-NX7FRI>yn@k`PlMveyNA-x`-47V0@04{_mm>xyZe{H$U9BpYN+JI~W4- z82M$!%nvz4@g}~lA44CQCTt1gsOXG45Fg4vTSD9)rpKOvAs=#v9rw{cD)(||f2g$e z!f}zgJ$+ga*&mk$j~QvxgJsVGT>NHP7-wkzog@wM3m46HWWJ3{{QD}Ly@zr2-{Tj* zD%-b&{s5Bg>wisl#2!!e={Pmnmq0v0kG_R+D1$OhFmla`=a=$mO_>h$qKLi6xbB8J zJlMDX>+?9(ZTgUYS796`eP~`cfz55{Q-4n`zMl>DUh_PxOQ41}SzyXXI?eJ+J52;n z0KG(s)q8%5~`Pc8q2p_CATcM>7_E| zhW-+JwmELaWrw=@cie(KV;#1l$2gQ+vdAcuT>tx?3Q8_k8Rz&W zb{?nQ%Zm5?;_n@b-$%PD_tz-x%lZ{37rT`erCxN|EWg;7+?{@ksa~`jn*4l^f8sAY zfV1t*+kVlDH=WuyBE1ML>L0Fj*&}SH@!Tm;=A+8d-Ywlkivx@mcAl^QIj`5P5qvf(F1m0a=*0_;K*eP}ISuxu z8XY(G@B2FY?CJ4ptF_&4h@<;4>_7N(7xs)hn{+6g{_tpO8D# zq4E=oU)BD8*SQG$`6GKiPya6Wy$3GxW)>vvD<5!wCJ$_~IKAEZLX z#VQJ|SH5w2oL^)Q;-lZi&w71i+GBKte$GcYVac$qEg+6&^_mQi$j^mc;G=(N&Cqo` z+qUYDiA!b91pU#1)<@+htYTkiu9vk?agm=h02d2vfr?AkIRbuyzk6UDck3fF|0o$A z`;_)yXG2hN(SD(N4T+1(uP%G1`vH#r(h-xNU{*ZcUzqZCdrVw(OiaynRCUJ0rLyU9 zR(#=hRDOaTz5;O}3wei%i)P&gTvp{GsN#Do=^XH1YTW@`exgfn?e81bKozg@T0d)l zUr3?iq6hbAzj|ldAWVLO%^9iV)p3hPVd9c)3j>#YvmpQz7g?;oXKsyptNXz|ia7jq zAi3tEC2?_yY}eM<@{e{z#ud9Dj6alpTWG)Ur)>KuSyBMF_|xXNxHjhpE>aqoUdpO; z(q>eVrRPa9Fk~@*t#OR5`}Ta_w=7? z;J--zs<`~>D$QjDRz}4|A6Esvtc?{>aoL->q~vmx^8?sxoa=+je{gbHV|(Gu$3Jj# zsp81E&b8?R{i{_|Jym`liu-bs{o9u}_a<5;4-?^7l=G^!Tcd$hbo7p7+8TukzR{aOGpDUaB%q zF7_AB?|P_pIJxKvWLzg0_z6-hEiStcsSRATEi$eF?X_QRhKwuJPmnKg`U&e2PJd5k zA>|r@%uj^cmn@5uOIXObW}ni2;v};8Yj^_P56}`BSMK6EzJGx%z7Mr~cCbCJ`q9o6 z+!iI5RlgZZE}3u%N-otb2ql+TJRc<&+rJwnm$PMll?YNF(#)vKZ8;%9N{ zB@fI*sh6BCP;#kCvrux$?ORcDsfswcM5b*h^&$ydqvR4vyQ1XcnUS?0L*sj1Y7t7k zSYMp)`K+oqzZcFI;EW4p?7b-MOV-|pldE`Vlw53jJCt13vp-RC@pU-;muQc)e`3gD zocTByr~hK(_n_2^B*)3cLN>v7bx8iW2Qke{7R#3F@BKU}fQpMw%mm-n5ns!rnDnAw z7lCyiRP}tDF>$djd4P)~8I6idbeaR}lkri_;Cp_dVZYxud`>)APeko!OEBdlX>Mt* z8COwp$x{bmUM4#?2-Uhn{OBZ@ub`G6K7lD8t;~Pwc@)XA=y?@>w|EVp%1qZ>yLX_{ zO9UQo8K@f=Hli*2PlG1-^MaZu|e_n^{?ZD|dDLQNWtYCUk8>Nnt$mlLkS zl#jfW){FHGK&6*VTLj`Sl5-@g_=^V;_|7QJ)pI|le3Vl*0T=r<-d;>x^vpVlzpPJE zp^Cq(FmZ{}LDy|O>S!P;E;8#r_*JS(8NUPX zYyV(Rk5rokTr!hDO2y|BtA+=&w)5*!(K5`#{&aTAr@lgf1#+w`JM(xK8zEjS15S=u`g+P7gD z?B{<-qZZKq=eydY;$pAHZ?NT~RbwP7E}lVwpP-j_qw*7?S7Ye+qUHWY#brIo3tarG zm8iJX(w#GG_9fDUeuvA?T3bFU@(PuoVEGHJ zv2n?2X;IaW{D*?TWwpn}#l~L%KS72JLFFfSo1uqn`N#r(Llv*Gpq$Wu$$^VkTIEw%Mi{g(~?yJ}No!Sr; zSC}}v-=OjnVO-Z4g=Y-zCx!!}yIv8a>^64BU7oGDAC6_hl6-q9d z1800MX5B%l7k~T&C6~!^Yx_3$0o>{e&EYlZ(fGi_-2%Rh;#s zxcwBRUJPmf1g&!grCy?*Ldj*tzwRBbd~4zTd04-sm;PbL6T-N7$J?t%w~xYmCdVIq zwV%A+Ra5#Rc)f8RtoSbFOw;+E#^puE=y|V>H{SKssF$S0$N7SbF0N?QOE&(*sFx$Y z*Y;C}gqWUR)Sh_8blfVueSz_~hXHxd^hUk-(=Sh$(iev|3Da>8V_9-dZlhl0(;a5L zJPqLFe)LY`%ckcisk@#t9k-r6^vSq>zBz?aFP<#sX%iPYI26X&IC)Hu9VSA2(d(cPCF2f6gVnba7u z%@r-R>C{oqiVoG0T-tC)tsC#c3?aPY&?Gh80I?~@Koka_^UUL({uytaM<%w__Q`x=dgh6F+(6rP z9ZfoZq_>w2kO?Wg6K_Y8mrutvFDvYE)VHqbl|&WuMgGc4<8h5&3l&TrJ%y5sJ=^CJ z7yWelKfcIEk!qDo^)^dTYNRi?)ZQen=~X75PugkZr-UwXSuK)v@`+x}vbe;>Vy5;< zds~)RYm6sIm2VfBbfGg|`K0~Gw#+crk9@QOB_RdFUV7YOArG#{X*PlXjxB z$51Q2HI_%ElCAJbemMbSNj4hoORiZA9~%cXGamOaD9QN5$R$?QgZaZAPA72``F3<)PM7kLcC`NXg^px% zYh%65H~nsm3$4y)ee!-=?hY~9mz?m`SYPPkG=sMtMrmKH3eN9hlO&s5vU{hxd-w;D zcP&aTnPNUlF7aj!N-ka&>343v7>!adtIiyhT(sriD7j>wPAIv^g)eY&RT0Mek=^;p zukk&fKM*CGC2S8C_spjI#Mq%QT&z5Pfy){tj#m7DZE(aO? zzx&^HlwAD8U6fq%*CQyotZ!GDx%#DT>d*4Y`8G3`pDkZZ-vL}QD5ih=NgQ;bi*&z< zyxblY7y0Xq)~ni9R9tiw&h-~b(*h{tFPgYCN-i=!8%i$OvN}pGraGYHk{Oit6VLnj zWW1S!`*gZ1FJIJL({cy+vp#eL6uY+ku9--i>2Iwic9?-pvPJDKIW5opbo{(>8?mH3%I1H zhKfrjnFw6!#u`*yR>7mN{)FgK^Ax7?$O`Sy>tdAo3l$grb2D)9zj~wM5)Tf;cye`X zmS4w1I~Gh4e-Ci6342j-u@*aki~evC6&KCj7yJYtJkq#6hoio}+LzOMYkyyV6Dlt2 zWiQRu_$(?eN>*vVnjip`pP(BSX}_8=5EYloI#cVFYy&Q?#vAoKouzU1VyYkMpDTci zjLn6LOU4WYE;_s!DlYY^8~6!&Be`*2w6FZAV>)VU2hG*9JSr|ZqJ`!PnT(2y##Z1b zSo@-={Ddge0ovQ7M{-o{ZCN3)?gv;ktQztz*UIqkX<9 z3vltJuTXJ`$9)&u;z6D~HN02zksOgG!=I+zY~vDZit2J1=@q^?K~5+HT)fhEsJO&m zoxyLh@7kf_lC{3vZ_7tntswY)-{evhQW?7I0JMXS9k>bGC|u%`Q!aPhXX8=dHbSKr zY0+U3=#=6+RDObFO$A)+c`;O6bm1#l|CMhpfr`t@JPG>kMTJGE`~>g(GjPd`t59)? zaRq=&Ju$DF<`bV_NQ8`83GuUjOkuBzKh5B*u1YBGfr-ELx;u%z2 zs_eM~HofFedv1bm22K5ONL|Ww*v7*ie2a>Uj`;`l;xSL7;NA0oOY~cWl1mm{g_28bsfCiuD%1ie*RxJ2x%l?8D7k2tV3b^ZI8H8B73cbj zY}jU$`6x!=iq14M7IRGV>SdWuSJvfb0FM04dN-j3<07@>>eH}_JnR+=&E_MOu zx}q$0FO+)GdVithV(}ZGAw zSE)eC)%6le`=W1W;p95B1SJmtkpqa)+5!^FkL9)fv>^v2W4n7By1*}z4b-=B$zi`Q!dT&mFAd6>9F zkB;4cvrDFBbBH=IWIS z)?snXXMgSUt95{j^~;M&FDpxO@DuFPj>VYrk+zEqT(UV|f{BaQN()?8w#K;hN`Djl zgnZWkRs6-f>UHqN)VHYCb(h`OYrh(paxW_TihWM|iG|rv#b4w`a)?*O{03_<=|$rF z09fr0B zxag0up&yf%&oCHMKC)Gbb^mJTx_vQm@j`L5Uh4w}VdAou#fSblGOxF`e@FZC)4u2y z3;cr|wFMQItWYb+mVb0;E~qE{B+p05$~DKf+qhWe1gO>%p%w1{7yU90DlYb2P0h6^ z7cQ>28;{%aQ9Q|f9h0A6^UlKe=1ArMSl|641N74Yxq2$BGcP9PN5y5AgFY^+>m&OC zBwN{Z8cHrv4cGU}S;Nd*pd21fulqBR6#bqs71AaoK z&5FuTh@~xni>0lIii^amr@!CvS2bK*Biqk`IA{7`RPmR(nF-=T%gT$3>qr+^hgHP> z4^L@$eHl zLNIaB$CZO^JgWa0R9s>C#!sSbZ}XeiP;$|Mk5F>SCphP+(fj*R>c#%Of|IM*?P13u+C6Xa6lFg0Q*Tgm(c`aB za#;hOqvR54@1x|h{=m78j(TzrrC#zn&iRHk2G04?yfx1C$>_nQDD8`-9fFgq_BNDU zavaiiPX5_|QZHI+JW4KE7N^~lmpHkswk2@oV_@c*(7$>c*?Om0&(^ka$v3%i=@r_+ z%C6&VKZ+on?KE)#XS-G{dx6rv)ES)i#b4sIFB#)8%6z2#aoU$v4QKy^wI63crga4; z7dwxWi~Ng|OB}<=W$nhvC7a>oqHA$-vDrAeWC@&HtS-*D(7J@Pek4n9>P6Dvj0;6i zobNlt9GrT|qd4`l%05FG-;*paQF4i_INKenElw`}6leR97s5F%jV#8=#dF_5Ssr=8 zn<%;H4V+wZCeCjhG-*GRcu z;p7sJadJ_l_NAU7)$1-!F7gB?m;4VWm$;3SOP<2XWv#@?C4+HtF|2xZ!l{?of|HAP z#mU8DyD5zt@lNT%bF9{qg+rkqyFC7Q};*U+WQ{tiw^A% z>xV^}?+z!>%0GBzeKuNPtzOS8ZcVqoKgBv!^{Cx*l?3dGpX{X9o$j`Gg**93OPuwn zpP*SrO@MrCHUjEL@p)0mPls%ZbeH9d?UnVQXx>@czOJltD-PqoU-k-@T@aEp(7o?# zjB4lAb$i93iV%-k?Ru7V#m-3i!d~T~#s1Oj`Hd>x#T72OWTi*_sy+Y0wrlonxAD+U za)v8hs`e(2`iU@}(0|0(tUGNyGUK8}u5gj1rM$|;znlo)2T~n_gIwWaoo0H)-&=vp z;CmlpR8v^@le2~{l}p}qrbpvw$9$AlYv59snGydzZUg2V!w+*x98#^-t;%OG} z3fd!%+|Kr8$;Mvst0Yx7oo{u9x}=kxQ=OP~%N2XHUl-|iL`V3(Cfilgt?$99bv3+F z9?8b;;2(tC?2^6PpI4l@@0E3XS>F<{ZoZY|3am$Jm7Lkpm3-kz-gq`%4Sit#VkGFr zvL$pY&XLzW+s|Z`7}V9Ki^^B>fNe{Ev!MNL&!4Dn`Lr}wUC}qH_hqTlgP*5A>^}^g z3D3CHj%58$dNf|ObF=*CW_c!il#3oaF$VOh-ayCq_ky>%!^LxUy5!Dv zc3m8|boLmC?`7GcZrPRnesn?|kG8jodNJGfoML_g?I-LBxwxfuLOkm4>4H`hLH`sv z-175wd{O<0NA*&Ndj1P~ovi7WUD>(h^no6&hv=D>(5|HepG1p`WqRw;xKORC3jH|N zf4bk${`@X)lm6;a`(pQBLLAS(%m9AXWuDLrc(Uvs)k`E?3h{&5P$pVj>hfZb#uG9_ zabK+}5ja43FBqokKn!J~=x6TKv23UUaUvb9j2ox&@;8zKZ?%*wJhcyrCB@ zp2n?yRXZ1{tiKm+-}ls(R}A9Od0rm>dzAU8s@(Dlmzvqwt#*(-zvyq7z0&`s4&QdE zU&+p6--@|IQThqBvxQgk(f-`-Zsn7aUhxy|@`PR259hk$R=X}J_2P9qqvT?9yW!-z zRTU+dy5gOBJFHx}`47L51EpS8mb)nZs#vnwD_rd7*Q28o=g_&Yyiz}^J~>@_@8W2N z?8FtX#1mHY1687<7wb~oEBQ!H=nJ(zi*e?bW&ATPj^Qz8TXlY-q#);w!y|j=e_yc9WL>t zh)4V7?D-JgEpIUZxM;Bn`h7`sZ|I@x#pIsAMM45mammHQfs3yijf#uT+@<~ftTS$n z@9|K!eRLa9cr|d5Up@)-gCCvZmjkrwDd3_bk9brs)}z2kcl?801bQwr_*FW3nOlCw zejmpzz0_}9bhyZ_cUrIVCI5-eeH^*?`?}HUXJT2)YrV?k^Qc~qoUZQE&3nL4u)AO5 z@)NbLYp$NpqSdeMsveP@PrrT-T;j7$sJN`LmB7B_+H=wB-;3<|UHzS%>jPZkeHBz( zJkDI;VpaCT{2EuE%UkD@sYRgOK^x5p@TC8WE-$+_8n{^gVWTi{@n7}<7tb_&5GF2~ zC?mx8EM7BIeuCEg0=Q`VTBx}AaIKeh?Kf0hq|XuUClY*$%1^KhCxMGMzXI*h=$3C! zUC-ldz2xc#sJPgUn7SWx{N2u&`~=$@S99Ha)E*NTjr9)vs`W`Dm&PS}%8s1fhdg@= z@fQu6hssaT0wFqH4Y-1e%lcv~a9O3YqKfaW-)4aSQb)(3@~gCGd*Gt+(xHl1RmLJ( zueqymaqU^IcVdCN9}525`~f1>-Pr@me7;o|Bw>tNZ7iIba_j z7oD#Gm#l+~tKm)H63DpZm9JrZqKMa0`+Xnhm$T&f!2G~PzG#7p%i2*0xL8tLT&iyQ zlQ#drJ}c*yc^?1A+?mHsIe-8Eo|*1hZXqO!GKfMFW#7gwmt!X+rj)fp3$l(SYqC`K zWl+`%p+#gU+G$a=kC0HZZ&`lNb58x!cRYTd$LB-6KM#*j_w$_h`<&PN%ypf4U)Ocd z+<*5v{r~LQVMn>HDTfE8t32%(*VQpBUHO-nc%NwaS5SSmD)+JJ$~{zN`-=bH>%O-9 zr6=dQu1(`X=_+5ehxdtworCIM<;%UVmPU3BN>}mlovmI~tuF~mSH8z7)+cf|wGOI( zRqfNpbd`D>9h9zOcdu9Bv}1$PRqi&$`b6pGT0!-Rs_F^e?;BJHrK?mLZ@S9ghgGlq z?ps@*C=KWtRG-Klvg-3kk6#*;uI!2}ySE2Px?_ZN+Vd-i*$8_cP4{INt{bp5PZQDJl{#EX{o$sS- z!rB*B-L-@1DxVP6K04PCe~l{+s?UD>u*2U)ND)nV$&J`$L&D_dWt_gAxrZx+_;cw#5hRoX8wUBxR*SNZ6` zbggQv<*UN%6Zxyd)K$DSOkGtA0_zj2j;~_!ny~uBYF)bprt69h)+ch40_zi9cJ;p6 zZ1b>Q$GX4R@1te!3{2PRuMaBu2siP>%eq9 z-`D%Z^?~ibGNVmbVXMG&efN#)dLyv?{i?p2z3u$4-XB-%>f1d~U6%!^tMLAFLF&qH z|3Z+uN`byVW+%K8WW5T*#|NpaICw&ky2?E+3Q||$l?#K^m75!;u43n*LDs9dVsMzc z=7g!Mv>?p>RcalkuKaFc>dM}JNsz~VZgSTkb(Ic1Crn*!!tATLK>Js&$+Ka;j+X`6 zCx*NmWWB1Y!`$EJ_dO}ddgWg`K1f};wkHRvD|_Q`MKc$1eu)kkZe(AI+A$_kx)#m%!-$yE(wejST zbd@)F!M+EqwBtel)!+I1w_fnlB}d!mq>BgM_h0>8>VHdDeo8mfRp`?3fBJiD|Fpis z(;wL9VX|$G3+j7xvIo?$?>Q+Q_W96|j{8z#8`D)@Hfcymy0Xty`QIzs@Xw(7YT>nO zmS~;wU&QS1HvZGc?|&Pw)M0?>D&GIWjG$h}K|}rf6=xnCR9`K;+S7Dp`)&U}{T;&p z_VxO^dF7_pxvqD9394S@7Z-S6-6$PYUoEtM*L3Ckz8#dVY&-uueZ`lb2ufFB&PdxA z7Ejq?YDj$|KX0(#O;*ZValg=DJne{wu$E{})0!9}9c`;eB<+dSQKU?Q0WFS9#*oVfEGJ zciHD_%e@wS5Yp?ItJl?Zm6~j8p95a&{orpBmNSo;uEN1@1y!$n{qgqw0Qr^WpuQir zSZk>1${lmqJ0Trk<Eu6<8+l{e1^r7OQ#(>_+O@^3-))m-b}@3MLwup%g3Ra-Q>QFUcMstKy!m%seg z-meRz^Fj5AY`lr}uhM3|-&ym#SXZ1~zpmA*eCgFe)vIdz8RPA^@3dY}-%pmmZj^lw zSm}=AgVL27b-L-w<-+=&^3}(6secqypQ!2<<*nbZw^LBM%6p#ikm@Rqc_*lTUwr%u z>l67w7YEfRa`RsC{c1b^`MCBs2$ zX~+FOtz=(o`uickcf9+R#-V-ol>4uesi0>k*Zo=U&;g=i1PSY9=?6W-xtUY z%iHfAtseJp{hMole5umdZKyg#baI@TQb zzjAh$S1W#QwERWG%6;OUUKPjxuR7M8UwB}?{eJnH_Tu=nD))&s2d-rdFn-s{gvw zRoq~Min>alMfQ1`zgy40Z7=V)QAJ(3;h#UYF6&jE@Jhw^$87)So?Mr@3bSvjsH?Ey z2E*2du5z2_D(=_w$G=!{pHr&;g?+B`Uq6mEJE!vg{-eVy?hAA2%h$^LcGU^fI#haH zvS(gV@qN2|$`AJYum5(v^0zJJ)>~6pRx`z3m$L7N?uB0nh_^V>Q3h(T&R=$U!c+74UuRE&FnOU)3#X%cQuC$JS zx?sgtgDPG}l#V*J^8K8DTEO4LD=j_3KDV=`JKOt_#rL6qOUM6-dr|kXmCmo+dG}T96aQ!a zzho#La$v=JmFr(sv0jA<+uc-Y9sjtzmyWdGdtWnd;pSQE^m9+87Q?1gT7S0Vj_Xuc z@q|hCIp8(xRi1ra#eL42O7+V1DpuUz|64l#)3}Anjf1@2&OUbOI@Ogu zyZzIZUdQrDKd#e$|F^H}r(xcoD0DhzoxYCw=g+TreN)^lvrb>f+*8Z!`qkh;oa1N}SQ-;D^eUR9Sp6Qr(kgGYkY zRcbRRNL|H?`Ua`1oINv0U8Q?huG9C&+*_Abd`^%X+hLvRTK#^w=D&qMwp+Ka9rN# z*Z$^L{hI|9PuM+3UFGM({5`&6ot9zNtM3^>>Z%%id62rYkI(hK+M;$) zeWEyjq3asFV^DpyuyT>>`t{nN-iNZkpBUuvRrS>=LF&qv!u-4Dg+IgmoNNB|0YScw z^*ng4Bj{*s+dS2?#;P`XOJW2P&2^Yox}6=n>u z=P<<;!`IH|6aK>kpp<;VbY+(x8Z!F`b56b=%D&U>EOYptDG4Wl&<{Qub8gfmHmU#Rq8X)`b1T`PC@mF@|7>U zu4u=gbmbeqZo0AqlR@b!{BXYYiTr>8LG_8M54)SL+~Y?ErK`NSm+30*{Wsq$^$+*U z|1?}FJI4Fh_tyl~C#rrM>;3D&OM=o>NKZFiRZpHAl&)O!an>h_?=K8$UznRZ-gFge zPYOy`@ul~@Ub!cO(v=;5we^X@$T>mn3ri>YK05o}8$s#HzhAI=l^gX9N>_QtT|@Oc zD8Fqzdmi(j_TztjT&-sI{SSpfzgGNxQ*Kv=qbftGTU4`TK4oX+-%f{1^c^%gQrcg*YV&< zOZDGS{#Wj@hkfr$>D?AV)vNepJNtf-+|m8Q>JwX>{))bS#Sgm&r7L^K4OXxGxV~ZO zdigQ?evxe54=aA3$htZYa*sT1-&G+^@6)riTaD0~x{uJWW;gVI%Q@PO&cr3VM4D|^8O-Y5F_?@_F) z_nrTfx7jtOE8l5RQ2ncvebsc8x=asB*XsJ^r+g6P@7I?=X)D(pWhNL|GSHwLLIH|*LV zb>+)9g{7-p?*zSm%ujC?maf8M7pSgM{lLB#`IlW=+kKM@nuk@dRU6jQz$szsdT(Zs zy2{^t7^JT3f-t`)Gv8=fnDx3Y%=gEt`eA;5XZey#f_xpT8eAQuuKcZYgVdGl9;mL@ z=LA`=;vHkc)OCHBy2=N>5oEop#)Ns@QFVQwy7Jct`8sBwEC#77H~RS?b(K#J^ZrEX zj`xDBS7DPGLFy{)73On=?B(Sk>s6>7sIGGt23fCcuTqe@N^gt{QdeP%K%ZM39p?Rs zav{w9efi0GK^|YZL&MZn)ntB<^(rq7v#*xwjSjM2`57++sjK+Z6JhGQKg|0kr5k1k zS+DG$)56rX<)=aFD(oMouJX5wgRED1`0YXJ%Dr`Skh-c`23oIQ!`w#~cYY_#*YV0Q z>s8fxQJD1_80Nk(|7DoEvX}e!cNRM?59<3UbDhtz@5#&-JH4yFPZ7%h%3b=KuHuj( z?}VhQ`0l6nd+wz=AC3%3SLyOS?DKqui&_s4NmuqG|D1I0(lhOI)1e$++5E-!xs&4c zhdmQgy$TDTG+p`2XFeX3u6?GOuH1Ri10m_k?tHEFiQJ-iSp93jE8f3a?;KSB%4Kgf zUFB_81f{F$^w+I_m4`K``1dQM=qmg&kZKJlfHj{8#AH(gifcu@7qo}2LfYR4;X z4yj&MP3yR>f!XUq(v|I$GF^q5KD|TIRW)RkeGV);fAfh!>3Zo8*EK3_pI2LFePNBn z+4}x@zH;)0pmdc^+t2z$e)}zg+835%n|QyU)oDaf$5%Al_V?Ld(WsDgl?T7=`>)-8 ze<&nfh4&sbUD?#iCqmLy?%&yU&3`+n{e5XGvHn$_Hfd5w^~!Z=Zn{eM95y*5UHLPP z_I^KYYEbnmU4F9liQJ;&-w3H*RaN_&uHv1W+V}IV@iw*2u)N?z)0MyV%%JL(UE<%{ zS>E^7p&`AFh3iw+zsiSQ`$9;%iYqoXUHOgg52{}IZ;u~hby~Ee>04(9`WlIIt>)Qv zWB$Hzw%=L9z0NS(;cffAz^Y+4ho!5_kz@6B%r4qFsPDhaANiK+dUnI0bd{11nXckK z^@Gw?-tkHM`$MI6%|8pOe+`{ze{U|==%KK5jTkXg>r~jX@sg10mFxfXtE#71I|`~# zRE@dEbv-RX>B?`rzv(KUeriy<3d_D7r>|rFhOu`4mmh=pU-p5^OjmL9#X;#RU9i%0 zWgEX0l&(_{yGl+2a_W>R|E~q|Hc`S7*c0wdw@S-t}EjePVTAD8!Zo zsjIkPR+zf({Uk_TRdoaX-n5A?23fD{s6f9L=KQ;ZtXFZDPC@F*HhMisUF8d23sct< zZw09<+wis^brpXN^z(D0?+L43P3IkL`{?_22}@V@={9zMqV>*U=~}e`%h%a2NL|I> z!~FbQ>AU4Y)~nR{=OA_Ew-_6yu4lviK9TI_VIE(_?|KLMI+l(LbAO+EIn3`T%a#8O z@^vg8@K=z!s_KMUuk5%#f~;5R!7%GpwR~le^(yrKEl6Ee^M4OgSN{1QgVa@A6y|YX zd?Cy}k^d^t^YM>B>$M=vdR4vtOPJ^5X<_!ST%R!Om8=W5f!qios9Hy?qJ7MZ7&j?dj z?%6PP<%?nJDvu0PS5@aQbrlzfsVg@rOkKq%!qk-ywBKhR3bS6>69d)tWSF{&M}(;> zR|@pHqeGbW$_J{e)FsS%m8XPxd{vDNQ&-`WFm>fdg?U|DDu$`6up~@flvSrIw&30&(y*m3}|F5P{Yrym=E~!twu06Y4+^hLnXJ6E< zQ}Zr8JNG!heYbAyd-d;A`>bxA&c3K?_a5DPp53E=zy5uyZDjvGsjeM;NWcD3Rqy_X z#5(l9x&I0Mn?^B7uHU==d5J#N9eeb;xRcI_AG=roTW@i9qEGCq{>L11%u!k<`@iVG z9{oGq+OB_7{*z(V@^ZDjR4pT_J1M_XEw38C>^xjO>VMTZY7tFmPBcdcN7JJjI(wMA z=4h}H)zL@hi$@<2EShQXK{QLlzTyLCYL=I)qZ#H)L?6oV>S(sXhtWrxZ@3Sf%@53r zW~om`R?DbrdA(Xjn^)nrYI#FV<{xd&H>+igGb3@9s^v|OmX}0KgVe-qI1rC%kdZzd zh{ZJGDCbx#YA@@n#fIYmHi!|^n9#t6F%lS)XTw+&i{=}lqEsEtkLDSTQ4P_&Xs%K1 z7z(4gQQT;~80*0xwOv+?X~eXi^IO&OcD1}yE#o{7Ft%FWRg=vhXU+-LGTxbyI44%i z1mh?rkHmx^4|+J@(U?Yj%ZCGx#WdpE&X2{ST5_9OEIJP0))+C32@Tv5BY`n_Ziz)z z(I-Zzm{=Ws5`AhkUNuCYMxPly97AFBS(Gq(D8_m)$ipt{LDPuoA?HceGPzpbtCp#r z2bfYV@2kn?Pc`TCYMJKDNSrgOWx8>cl>1^rkp3PHxId;5C;4#TftW^|?EFBCI-y~T zBMtzK?>iG3URY&PG)ey~!J}{m4#!wi2u{NM8>J+!ND? zGkrMFFQyScaPAkQPH33rhyy_5N6v%>SiwAJ^4uGX;;W8gRLs+(*pKizs(~ZikN&%2 zDCFpO8F$854+go*xvy!&bf@!zYFSt<^Q&dC=UG%OW#fg;AFD_GW#g!2^qnlIj#g+% zqVJ;bb@l>xt>6a+N8gyQMKnhiRYyM<%%QUoc99SKfghL`eQ&-*^sRhc9errQp)w2BMyLaE_Eg}K(W7aCeK~kf) zoEeGphiduWnD($lmeCh>*XPkvjkVlqX|!AP1#D5ju8zKlz9f>-x7E>? z(N_dD`k^}disQfz0kU9@R``pK1`N?R(YKcEGdTLzn@;p83sC;dT%Vu;!>VTWW3~KL zEx%UFFP;JTxmtcxlV$wHoWEDgN@qsm{G(caH;x9$(J>)ND=!%!F^%}64+oBkX~dtL zkBLR=%fV`~=s19bV#G8iG?0stz?eL_SX5i~^XSOHvR_R0bzZ450NKZRj~Ft6=n9*? zdyG}7We<0^GNqVycmA_l{;HOEQesIP4^$;3k;G&i)1Ra|DYcvdoJlpQA6+OV$o?J< zKs-VIbnyU-BjR7q2kY7oQHw>#0UR15rZJ&`!`Rk1ljpEll!+Fb7Zu55v^e_MsFrGo zK90&p2gXnsm7}!L0lc59WI51f?Qa?}9pIc!N+v0(q^$3GYLc>^amKl}depz3ag=A{ zAWTa6bbz;RBBXtI%ACwdo1Z>8QwZtr>d{PgN<^<&6*{Ia=C0>sTSz7*wUg0w6VA`+ znC7nSiKp`elYP4+8zg1Jq->m&jXV}mCn=k#$!2e4&P|h2*O`$x>m_AVkJeMJWgC-} zYkV0%fo)6@lT8P%i)q9Sov({UJ>+_|m>UOhLyVZlga&Smk-(TdH^!pw(%YjW1559i z+~izWWdL%s^Hniq0#P@ceRYggspTqnUt>x!UG2PCQZ`S@7D;K~*?{^<*-}k5zkxX$ zC8eP=BXMq(lt#wUS<*cw1nK7CfF3c8xS0!fUx zlx$MA_iWoHrLplg&fBR+{f&(yUZR+6om};1z|VDK8enVpF5m~o`@B>q$&&|6_Qd%UXc~V+=(p{6Xn{f;0mg-UeZa&+t z0hqLjua^sg4PqK$7avaHaWZ37?b=IKOo+L@53hI!~ z5pr%!2y%`q1I~+S#NB;3aDGf9?%{lXEIM2+P>V&!0bIyikTaoy&M^|0pFEvo(P7fX zqay=LmzZ>Q-dAM+a*=aK-rJHubg0el6k}Ct>FDlrOev;L&Ii!tlX7rU4)Sb3j<*#x z+5Cgdc^L03&Wyx)IPWaR(LmWECIs2e!vPIq8u0)h4%FxESd&<|`mtyOIaw`+IDk`P z#55)}&?ZI#WAe0#Mbn}`j8JiSGWsL>-RMx&5d9vlG-|>dVKQ17U1_vEZ=@<&nz*d( zOe3c4osUdP>!ci!6!APqB_%R$?R>O))E^l~SFj}zChg?Y0k#Z8IMRpjWKL!@Ge2+Z zyk!z|)usdBEtLdE`Ea%$IGOI7kSHxX$Apxt-fn?rY=V-QY%#n!<7E1(x8KgZ{Jg^M zJT@uECFR7VoZx)C{v;<&2Sp zAxIk^4j`3?r#k0#C2iGW(QyE0@SiiGfp!F0HJ!Y%=zU49if);cF{yTLr!oMk<=l$7 zY_DR`Ad9{`WmMs-H^6(CQcSD%nE9l%=k!g=*`5vP!0D?dn}4=B&!zo1GZN={NjcXz z+C{cxdGvSB4m6Bu#Jmp&8pSkXd*?>6sJYZpi$%u)Y!oA=F`rcv**F&M94#|1 zD$Ywr%cA8*=ctBgdGxhW(-;b)ucKy0JH%KI25IWDb~KHcc5ptQu4u=3XU_v%NSjlW z$4<++X&L8tf;b)UT*3~(oLo}WqUX}>Jr+RqiEzHp1$cD`cY$+KU%d8evCuex4s=*& zLIY>VNML^QoULuFzDK{zo;h^9FX-#!-!I z!zPj4qlW{wjcLRyeK^oKrV+1lZp>@K8y6Ofjsw`9ZM`$00p3_{a3)Wa7!C9{8;yz^ zlF@I`uSVCYhUnMm7o)AY6i7zDMC%!4W2^^*Z0)kPGL4wB&b`^!v-wZTZJy`mq}*bB zlk=_WQU5K*Tmo`I%%nqnIv`voaIxUS4>2b*4mCd~!%18<@NVM6ffKn8$+d$I=Xx6_ z)5V8p^a7HUC-`vS(3s}G)rX&8PNtve{@at%CnoKxy|Eoumc0RiQ`OAU=a7|oXIdq z?*ZN6G7*5~4!vt+vhG#^dJE}x=VA`}N-+&|ek3W6QV43}*?`A*0o7#li{>22;+z?Ya}e{5SqUcqL7w$+04E4R9`WG- zrw2D_ttW%kV$pE`Lt?}64gjI`9%Ny(Te!DaPKAWA7P99014W^UmZ2ICO_Plc%T;As+MS$iVWLKDMxE zgH?t;!+6A*qG5W3YMGldA|K1pRl`jwrXkKRB<01VyquI_o(*^@DX*x><_|OH@T9!z z%t)Lgk}}*lsw1z)gdneYIAA!-Phzs^zzCMFNsLFtqK#yvS`2XjqhiD~CN%IGlU5B+ z0=$j4^XSMRGh4JXR%KHex@&9eJS>JxAbQWDy&PjzY8mG4S4^p{$ay5$lJa^|Mte5k zwWPeECYwLnoNp#&j58x~mXh+OF)JC(!zo>Y50A;~ECyaRoM&S!Mw6KTjaam?j8Tgr z4&Y4&t#T8Wr)T`BIDHJNZy#d!(%jO%?t1t&6zy!a)rocq76p|7A_!9aUQQS^qTTyXNrdD zWU6JuDI@Z+l-y03QHtqJ=SfMKoRs&HGS#yIQdqay3DW-RvXC~!?q^ym^Q!YCo~v8gYU1 ztXOop%vOs<#{qm8Bc?H-fsc6JLv5lVs0G3f*3K42@Ncak-(Td3$;Ux_2|gJLIZi*`74#7 z4dyLpiiYVes%5h&Bl59)VnUGl9u6qSG~(Aj9QZh<5mz{W9OEqE*!#v22f(rUy)&T!4&9%e$umhi z#6*vd3@kK|3C=&L3~eyuohcfo@l?ySQ%2-tS?F%cj8aSsoPSQrFG*RMl;1oX@M}_j zSCh^E&76NGUPM zBt}eQLIa=kG|ZVipKFJB-=iY~3k~Ew=RZ`2Hkhf-i+KP@Go!v1?Gv64s&HBC?oUlA zrca!!QW8r^t&}8uF9gI>QmrPNpD<@CB}r#S;!LL`Wz0&rL?*~*9u7EyXJ{!*HXS&e z-9pfiHQO5ZNli-DPf2ah2CSEo4b)`wYn!u9N;Y(6B+iXeQpcE;L_E#Y zCD?G_C?3+KFc|}_dElo>j9bUJMe&td3~>O}NJ)KTR&qQy!*mHY95{}rM=4Ckz_C1e&?LskawCNE1B)RJfMatrXF>xUx(%Gk zvsgRC#~vLSSZE++=gn1yHkd`u6b;iNs%6nBBl58w(dcpZ?t{PLos#`8AxT&ea z`c)x?M$`IO&O7o$hXa4{b9U`(EP zJi2n#0}66#=H>+SY%Ns=u=+s(MZ?sBYT0bchhsv;u>)e9}ZN8PJ+(h&njQgnuZZP`IN9wg-ikpxAw2J~FoDp%C zMS;b=QkIZ>&N{(@6B+lbf za;z~c*)T2ysqNu_I&qD7qz?x+ifhEy&Kt#}MzXP5EIJNglQ=Pr2@TYZlfalfb>o~- zzxvvcfrZxbi}NumLtD$w&J+#P&va6oO&O7oWdj#SnNf;qedps-azaW@PRU804LC6+ zr>M#1pJdKcQ_{wnkvLCF$*IPyWYf41WMdBp)QfAx<9#@=SzIHY;JjHp+DbN8i$%u) z)Q=O>n9x9jI0=l&(;&_n^_Q;=8CYl?e>%5O8QNO@aHeRO{-BfEY|4myEOlKRWkxBc zO`K0pN!yg1nUZ#%4LBnuXQ|2Nw=-w^l;oWmiL*mW+8eWyE#g9u%{?5jWn3ek?!$qG zagEs4xnZ2Mgk$dvM;rjh=2^~!1~_y(IFl!-y`kEpBLfSqqn2}CWoTMgUL8IiX#(#aWeF8o4`bN-=Ha+&Lv(QgU%hF7j+Z*OXkMCYyheIlHH% zn=>PE_DD&0V^-26E(B@p;ee)bjo8_T13SbuVi)Hf;?Xv;qgpIF4q&G^F^vfgG>enK zm^{t2Lu};Hk%5Hh$c`QkXdc&yJ$*Q^OI#yf>by%l+E!Yq z#iHW?c8wF$n9#s(aS|AlXE*H-n|X9(V4;E3bG}k#XoK0*nWACZlxo>*%7}a{&D>3y zQHp6N=W9}OZAz|B$#tF$D5T^DHQD^@%-K67H###C=S?Z;ZOlqq#)Tj)JRHy}t`V>C z;lS>3jd-o|?s3i%j=h2-4uE6x24_M89J)6-lc$k(h=v{=8CYl_TRPvUGPJ>L;Y`sm zZ9%n6J7q*ZmfhS4#l-%LWNSt@3q_1&w zmFyiCg6!qtfPLZ`@n#>JmJw>a+`kFJ*e)MC+b0Q<*@X-sI~fH(<^$#Z~qh;2PO zGO*A7SB*o(;GsB?HuC z^ZS|ezLebS%t)N~r{q3kR&rom2(q7t19EYVc$W_c4vK5UyPXe;N7u-~YO&}zfJ5TM zG$u4~Xq*JbDBDS6nl0S~3*Q8n58hs{|`$z#rp#QAtiipH$uu(%N9U=Ifz9@mHu_;BEexJG=? z`G|OQtsJQqi;e?m9VezSp@E~~Brqn=QQ9GP@#x6FLIY{;{Futn2D7s>MZ>f+)w0=? z5&2jSbvI>3DW*f5pGe7*DS0X-gFG8BFeOi`$>t9-=d&q!#+i{gpG(QJ#;hcY3qg+b zaKO=VjrfEQ2PCc$pLCWuX9>sNKt~(^$L7<{ga$ZtpK~V99@-&x_vpyLLIY{#{EW)b z2Gi1+qG4)DwM;u@L_U_I+)bHLimA2p^C=n3#coQ5dNyDP7sG0@`9sY)jO%4*M&f)q zCBuxP#&UdI2y&c<15Su*#OHlDaAI5|4t72<9&INlsl}q>08Wk*)0oh}DRB}Qljjue z5c_&`WMH9z?Bo2B%FqV0xAQS^WCGDuHv8B(t5VA`?mo_xVmj9Om6W`il94GH;n{%U zDH)|En?J&wqf_#lGb3@no|4hVtfWm`2y&8#15S-=#8-Sca9Ug=zUq8hJlbAPSBpi* z0kn-1)0oh}8F3OAljjWW5C?g5WMH9zfevvJ7?Y=ic8DW9Ix?`(Kn`~vt1`5~9Og{XFdas< zY&K;?K9)1wO_@=Osjc(7DH)%VNhz7=*?SwkvQK=$y8%ja&}w@ zlJ{^x$GAp(*M|e0;u>+hbEi0G3CG?9M;rjh=459=101^VIg{rY?GWP8k%5HHRAg|9Jny95vMs{7>}-#&T6sfIDjs3Vj2?~=o%-1 zF?qUbhd9xrBLfQ!7gCsG>?u9EHsc)ofoPMZ7^+|DH^6WRLf>lM&x7Z>Tb%6 zQcPW(Kj!`~&lI>z?Ad@%xNWZ{oBydfmvU#{nUOfZ;8wgbE9n^*f^_q6z@>4G_^}TM zE{ki##m<+-qZ{OMwRGxapK!(n_KFkL@(~=kB2EfpGF_oP;w+Dk5G=HiGo3$IA=+Zv zIa4-F?WmW{rjRTEOAmKbXtZML?))XU)wvNw{KN8d6>8~{h>3THwC9K7E-ljj`m5uH3b zGO*A>Iy!%&GPK2Z)MWF2 zGUspHD{^Ke&XwGhHIACfb#Wm`!NUR9$2H>jJ{-6qt`UE5z9Am%AUCSTqT>L1$BAi7 zXyB$e35>~ellF)UJvuV5&_XV7{#9jYi#gx|Njk7AXT;uM7DaCZH^Y7f{ z;SOtB{_8u51z2izLhh<`ZW z8jp6A+tgywaR9e-i`t_T8tB8V8E5kJ(H?P$M@I%0TFAxDah0Jh<|1c`hUp@zWzi`k z^0D0HZpw^OOue0}(~?X}CM{{t2Bgwbqb8f5HfQa$tmn)~oa?8hwlOQYgImyPmSDqy zzT9?7V=@NrGLMc7EVPhIo!3(t z+G2V-Q#4FHsg^~jjL65*$K8|}rI>Da-XJX-re))_Y~Z61;Lxq-OrC4B zLtO3Ak%5HcRO#Emd(?$MOqqoHlTi5 zwp5eNZ(z?NvUOS-r)68u25gg-?bKxRw>4*zv~2IpNSsa6(!`jRJQf#%JnZ3sA~zG# zm~1-mI5!(KiSgs{=q7nWErvLNC%IwiOlV*rm*~#q8K@oNR*#MhEHsc?oVQmQ+F)*W zrf8UMrdk%AG9n+#qwc26D8=-M^A2g*kx&1mrI}{~c1lZgHQD@T=4_FcU7Q(-bJw)A zFlHr#xFM-au;IW{agDfx4+oy+cBCdT|I_j4W_d;}hB$y{xg>WcH1HfZ@tn!?oOXyi zJvuV5&_Mb+@1ioa!QA0Y(Jb>25E z`=#Z;v>f2sfc?{wQYMc*tcU01K_-LFa>1fVP$goQHCEEDc0A zn(7z0?WdAusJma}#-T1zUT{7%Er+G$$g~{c*?_~-(ppV6{|IwNX*tT7kvNY|i$B?B zB^&c;1YLp+2R7p4?rBWMKplS3Mw1xV(N8kH!Ud=!4&YU8SveCL7|unSGkJzWoT;|j4~o0%W!v7W|U%j)%ldP zv`Ne9X*tca0jH*=t(t89Y36K~mNT3giSx{~v@>QUJMs&?x&#{z?7(N_(wK~aru>qt zCNXXri<)t2U@^o2aBQ}9CN#jId!{pahH7sZ;?a?Th1N0H`3#kzt>t-ViiYWVs%6nB zBl59~ayMm0DW;LmXQd^dmb25+!LtGF)6!8*Hot>8&q+%sXGY>YH!bHFN4Llu+?Gkp z>mCjm!^6NdCYuht$xRteV*F-2x>ZVQF~kA9#bt>zp@Fx#uyH2O+i^a`KGvgm(zNo9 z!|Cfu+x1p|!tOQhkEkbVVR1)u<3}aSYd-dM(}-!b^Lc4GKP{cpa-rt|E=WrkHQD?N z&3RE;x;irw=f&)ljakFHJU>+NHXInw$ zV*dBy(e3iSS`2Xj)7XwX6B?M#1-vtPrpNi}m#=IzDte{)Dwr>gE>jJBP0SZYRO+%c zUm>%b5v4;oBPP2nN{dEJlbo+$pUdW$-LU5Yu4417CYyh?Ij>`X?aWA=*Rw-3W(_mA zsi5L*I53lKbQ+T}@B!OwO=A2(oO6QX?J7qc0LSCC&V&XyT(5T~&ubjD{#8b##2)?N zUtWYD4AJ+|cNUmR71DewQcELBhj2zrcUhDcjhLo6-;kCY+30a4=XrqMYy{P0^KUZe zZR{1D8Hw|DF3pUiR`L-S;c5BM!vS-6=*PC&hXZrD1lJ@MZf-o0E)0D*P-c^^NIF@2_798SZEjHo$pZ@+D_herf8VnrCJu9G9n+# z0(Vnplwz9iJb-;6TOM|go(;HgR{{7~Bm|c@IBXK^$<%uyX`IHM$U4jhF5aBU^M!VW_dGf>u+TK7IzOZ`w5d#S zrf8U^P%Vp28Ih0W6L(W)lww-!{3!b!t~J;dc{ZTPc3w?3|8a8;V#n{yNSsfxQ!r*F zUvgQgOR(XP8EbR>+cywf7 zp>@o39;h<3wajp)XqaYDElWljk&opIcT;ARVp{6_G#47Y?X#ozY{0W@3)E!upEKuB zb`H*r#Q6ey3*)Gde8a_9T2^>C;9DO0vB~n`z;|4VX%Y+fT|Bx&zE_JO4&VniCC-Ef zeq>wYOr9ULL(KK)$iPAand3Y}WoU!>$ay)}Mrj~wWzoOpqECg(a(AyVrI@~UevvIV zJ5Tnuo(&kr=1xsE|7CNIVE^aLNSq_tuo<(GpLklROR(X<&ph;FTjs-oU$`jIBHZ*GogW%Y-gRxvr;=m*`p%^3k_tE^Kg}+4Q8P;MZ>g^YFTv3h+IHS#Xw*?`fsPBq#5*Ued?yE-!x=UZ%Dj9JO=Y_xR=HXQhawNe31S)(8i*xGU`(D^g7a#LM@I%08pvnPZ>kJ!FrPY8 zG)$jTEt^dlk&k7iyD2kDG5zNJc3Q^L8rk=GHeejBQ%yGi9dk~kyE-!x=Oi{T#;hcs z5Q6;W;ebR!Bfjm!fm#WTIM%sVg0qBUZ=53zfMavKGob+v-AT^mS*{&onMX$k78=M` z&J$FIHkdD+DH^6P>8GZhG9n*K%)eHXGNTkzmGfl!B6||Lr)LAE^5(B5oBy6UXRtqT zW+cv;bQI%gFG(kaASn+AWD**2vJVGp5*l%eb4?=JTh>#HMaKcuP7u?W(7^f$5*U+b z{RHRLcfK}cV4;D0>pWd$XoLC2xjKPNAnIeYlL=O(mTDK5GNqW3&L7Z8X%F;U&j!q< zeW=Oie`wBmbQotw;+)SLx-l!+ARz=<&%*&5CN$y)J{+i%(1^2~>m;ImWFxg$bR59O z31S)(8rUR30%P)QlHk1h#n*-mEHsdxo#(0yZ7@GMQ#4FJ(NAqQWkf!f^<5lgMk%J+ z&I{-bygSoDJR7ixH$XMn{IWSeKIPY~0X&_MkJ35>~8Kf!tRr>_keSZE-BIDeutw88xDOwlm?PCvET zlo9z@HgR#38Ksyuc3#3;Gp7jefu0Rm$|n>(-I{NNpmv&gdn-|{A)CY%4AIe+4P!kLjcf9A+C zj_#6dLI|>zhXb}wXv7sh9M~qI5x;TXCK25&+p5K);{X~bh-pk{V7mkfjLEZ|c8D5} zjtnd`kc{(>DnlDg+PPr@nLxCc&2E%nRcdMI?yXEIrbf=c@b<)E!ux<{1AgN$Qj^VJ zY0kem(wrHIvnnHh8MBh@6GD(}Jsi*^p%H)a;Xu=bM*P*eX(GBuc2J8&#{uk^Af_>) zft?a0FecAV+9B$AbYx(mfo$mfC+{yj)Jf2DY&b>3v;oyJq>RYNvYoprGfFWvc8+Bv zo{{Q|)beaVA|pvP+5B4OOlKtJ%t)M>jHHcONi*J%Gc3V|13PmFW-u88%{fFhiE;Bp z)K7L%iy;o61&6&ep@Cg_VV%jdt9FQb9vvB2Xds(9r&NYEn7Yms4O3mJWzi`k^0DmX zZpw^OOglQ)WMsXJY><)lJsVIvBO9v8=C5zgji|OWBXMq=k&TR5$!@%j=@M)>&@!PB zYkWA+iZ?M$V*XYM&JvEj+KxB?j?E372@P=QZtP5+hT0*v^ytXILIc^txsJ-v2GhWq zqG4)4wJaHBL_U^X-A$QMim8S3Ce$e-n^8^A25g#<&DCV{>zT7bM(R5=66Y3VFpl<< zy?9f~$etb!*qfIjgUO}?`|vVp661Xm(f+cpS`2Xj`_by12@UMe;+)B|zjlaiJUTM4 z&_K3!uCFq*!DO9x=RG0=M0Z*AJ$RE*;j+8C_cW!L_Hf>k$}*h#dp4jE;nZaFw=(Cp zWOQaE&c+$p)|izXKr7cJ*l^%LUN~MH9}eVrVKs^QbBX8xIY=#rIDms$j5DEuLuh}_ za<&rDvjI&w zA=G5^o0_v3=ZrHWaqgUvX2z`KP#Uu?!G;5eAti&!7&siMn#B0%~& zXF>z5X&TPtX{{ZixkpC^78=OT&O50LZ7|K8DVmz7mPMzG$j5SsyD2kDF&*sOoKrO; zyKzoN72r72{s&v5*o3&4+oB>nQ0R9AD!SV z;n-{8hy&o*Z0W3_6C9!>u;H3VJ47pwjtnd`ke1G^RE9Q~-JB^JrroHP&8CdV$I{x} zlo_R%j&$BLBYSbgW@I1F2JFp2p(dNZk2w$ExN&AA&I2=YfN|7cj!OtZj`eWB@d=H% zrw<2Cpap0W3wJ^y8XzaC#SjN@5~sW~p@EY*ah%C>vUZ4lJUTM4&_MQf-d|;CgW1bj z=oO@*z83u$nvDtQaRB)QF^vfgwCCV) zCQp0q5QlqoWMH9z9Oiti%FqULs53>wbSTxbXp|B8SlYUqGNTmJ>CPwcl4ax+YU9~} zlQPmqO*a2zbDoxwQ=J)!^K=$#%t|_NSnCpOIB<4CBc9;HfsP#1n#BAa6PzU+dnY;K z05~?=I1?J+&^_ImJfa=q=vCq^GYw?b-?=zdWoUyr%Ka1#(@|8*l2JzFV`=Yh%8XJ> zdFQqnIRoVxIn%QN?Qp8e=AUWK4$OCEB+j!l(!n^&$$1>489CR(0p}+)Vp|^$T)?5A zNi5t2iRd7?P%VZyfX=-1&V&ZKP(Ww$bkPoRf=5RN78=O$&h1r(Hkjj_J8{f#C{SOE zehvqn3YSjqKG&3DI>)&qo{XG_c+Uo$lace)Wb@B8=Y<)$z?qRaJEPf{m2~B$)g{<) z;G%>^?C8URixV2Llk>%i=wP`-Ev_!3(2asQ6B_7FIh@JUT|3079vvB2XdrEzFHjlU zU`}zSXqZl+S{9u$A|FeaRntu=rp~K|XQV3vGIFtJ11>^I>C3{A$ActoIF3-r7YO?vg%z1T2 zu5xB1&TBGqwJ|HXg5~KFY&dXbLL*-4!-1<5I=mEJw zErvLN8~M+f&_M453CvHP-r6B9@aV|ELIXM9xwp#D26LYC)y(A_rM@=%8j`DUx!T>= zno>;HINy?yTQkxpBe#1t;I@q1p(dMuyE*U7NMC10;=C&(cN(*jn-W5h8$29vb3!BD z;=_Sk5*qPV=UWodgL11{EV?>?1Tl>X4cwj}fiZb**A8*9M@I%08puV?eN~1wn6Azg z4O3UDWwR+G^0D-GH)TdCrW>8_&d5C(8IY0wo(<@ik$cr-^ZT3g{*2t`%t)LMWaNHh zR?;US1i9720e2)c;@v(R=$p`p_c-@WL=VZGYO&}zfV&dJG$u4~cY*}QWq3CG^UjyM30&BvSx z4RGi_;Y^;ZwL@Ix(UF0L26ClyQDta@xx$&EVY-59nRd#Ed@Ognn=+#m(_PL_W@KPS zp5}{GJsU76BhRSG=09c5=Q8rFGb3?6pONQ`qle}Ggb?ID4+lJu(1=g^aNxm&MjYt; zU?O@%9#V@%#{oQ?Af_>)fkzS~Fec9<+99s@=*YmL4aE6bm0=CWc|Zc0G@$5yn|*JB zRjFlwyYDllnC^8RoRJ|Jc`+j|cs5{YMqW~r&40n1FK1+!Gb3@nl988 z4tOk~5eNHlpqS8zL!66==uvrGEfyUI@I-=`#)Jl*Opw5sJWpzexW%I*0}Bo0X6Iol zLmSLZ&J+#PO;pQfQ%2-tdBok68KsyWc78P@!!t4}BO^T|)-N2?5NFnydU8m2x}%VtwXr#2255)q@6nNgg$B~kd7R4726K-yMZ3DW+$f z$7f_hMkZ%ul4k=ZW@L(*Z2ly3zL$}y&WyzQen#Fij*9YPLJ0DLhXY>XfnWxcO$UZ0 zG~xv3VTtH*d08#y#sR#-6Fg@^1Ft4XV1DwvsvY7%kB$s1G>`|Jr>YEXF!wtTNgxx5 z9=6#-6Rb)tL)`s>DaAC@d0IxMXXJy7%=B!)jEu}ulg*!L&JQy(+nJF#Kg!65#;jyG zPZD(rHXIni1HlX?V_;-LBTjc7nTVc{QED+a4&XJO;5ic-7@Z)2`N=a{J4Df=BLfQ! zZGwV|mrxlo_R%UU8n2k+~UJkdgVG4Vagag=(_-^UYb# z$RcM(;`}%xWn)(II!_XH2{s&fg9m~cOvb>Nghrg}JSGu6DQ~L9+&F*|Pw<=x4ZM{g zf%(bvmUf7zJUTM4&_D(`FH#xWUAMeT3*Ji)VGffpP@3?zB&pdUZ@~-m_8Tm0IzhvZR&j$RIkzdth^M5wy%8dNx z%t)NSXJn-@E9uNvf9eu!IB+3fwU@zU3|zoh?P(I@3-s?1O-^7j!~sm<37#{dfvE`+ zn4dgTwL^^b=*YlA0~z7`o667zGu)Y?VH!@gY&K;?K9))DrpzeCG|~BwjQq*dvl^+Y zvGKrPJUy$yWL%{`Nv#@5I0HDV)uet_az0-frAx5kzl?F@bNK4d8kS(gfle`v znDpU5N4`^3lbF9FexUx*Ir?=N;`3<2*Vtu+TupI@eYi+F;&x zrf8Vnrdk%AG9n+#GGlwx|{dBYm1QzM(y$i|)x*r-P8s>$YWY|eT$vZ*s8ac)*4 z^^Bt<5 zv%=gI68Tu>xHt-pQcNE?Z_U^m*^Y=l9@w@PS%#8#1lxKL(ga$rKkih)p`7FWTP-*FFLk5JFMqDTTF1|*{*859&m%sJV-ab zUp(F8-d|^o!x-ObpSR|Gt7frQ?X~yz__b9wpiNxfxNa9uJ4bCOwn zm*_``<-ogqC0HN@1Ml%=p(hD`uQ~S#S6>?;0f4J>Z86pW7w@`a^8BTF%?HyuJ7u8s z^4}j5ZtHj%{>x-~i)k8C?>WEMiZ)U{$~!8KHd86m+u}bIwq9Wy7Pf)10qYmGkxOB} zK?FM%)TN%Pw5Q&$2B0H5)d zniy-~^X4RoIC(zz8S%W_DFcNO@|?JXm*FGkS@HXPS62Xam)QLQ-)ef{_P)X&Mx{s} zh&L&0)55kWY;$D;HY;pPmtz0s5!|Yf;q_-e3$4)h~>bSd?i>Q1p{C4 zg_$P_{;GN1&AxUekO1%v-{Fa|2EOHMCNX)w^$GEc+$jTv0rIlAlb7KG<|Q#rLwbpB zg*$Dee3Z`>rp;7}^qF{@!a5hWU14364cNA@?OlrfT_V`Eu-Ws2l?1J@t`X-X-|+>R zA0d_l-}9AVffNk<(A*t6i+^Zdcefv1i7)}+C%#q^V-5Vw7gJ*L{Ol9rO}SGB3IpT~ zF|Pqg%#_!~G!5x>x)tuUk@8W#RhTwYDbhFMZiRK{7AmZ#vH?A~g0ph_ME^bo+|Q^S)1r z_vB6)C=8Hy#l5`@A274TG!1DM-HPP2k@8V~R+u(ZDbi2k9SiGM*v^IZS2kd$!gg^f z_VEs{I-6SqipPn*Y;a3=uFoA31>pN!T|YFJj~1R0rQ2JrXhX7JdNG7k@8VmsyNzA zrAYIN_b6=7!uBp~q_P2f6*kJH*grCYV+tEBW+lO~g^da3Bnu|PWIove3nh2lL(74M zlRNGyUO3e|*dnfkI{{$Pgl90;z+#C6!Q@#iabNwQvrz^L1LS-0XfMMD%y(j%hV&it zG2Pu|}SHhhD&??~>j5V-gB0(^DR`dzc zLhh7-!T`zQ1HB9%FiE^rqD-Lf5xbX8oXVA@6kaAOMOs>XaAAiOc6ecjDI0KTVMn+W z`wxrYQH32TW+lO+3p*;9ldO~slNDqKteo8OU@Zq$N$z-vc$HLNW~;gq?gW6<5}v_W z1FaJYg2~g`CqyN8%0OX&l;R`33?DFsn5H2WbSrk#M#@K7QDNFlrAV#B#}syKVJ8%J zys`nu6?URavH$o8o?O^TVpbA7rLdEOImznDFj-Z0z#7RNkI`~q&E$^9iq}l_<+he9 z;Z6W(lkg128fcqH5KNx7J|PyCJ7u6SKo%08Li4LH59vs{Y(XGHLv!p;`6lHj?8ofFJS+9kteE!hEUCwDwm%Yk*0 zJDw(9Cvlf>?VT9n5H2uPPd|V z+DQ2*Z55`?REpF_d|qMa7j{u$7b+WYL17oW6#FlX;LO4<5wnuurMyoLu6x^h{OUTM z-(?4^pWN|0EeAG8?s&dDNI&tR;94v7T88-EuC!P94^b)7y5h_D^^ApGRoIov23%3t)h@;UDP}t3d-K1>5jfLIf zQtZDeg0~fRtC*DpZ!he&U{10{GE6p=9k69`$LqBm=#<>?263lU?`T`O67B?mtrMQX zSOeQ65(JZH8=nws%AGP$7$9qiZ}l>Kz^pE&X-KQnt=LT)DIaBXg=sUDB5fwVqp&;q z0I;yTl?}M7uzOvK{dY(3{=)7Pvy$Kgh20;_NjfLPWGmSL+a`CsL(73K$sO+$cS+nO zTzhv32>@K1_lmIwxO5*7lc&8;h;`&n87K^pwZ->&89rdziD?>AJGvFM(?-fi*+ya7 zOr=O$iy!3EKRz<#Q$l3}9xm)rmty}T5q!L`$Hc58_(Wlk2iI3v*JPN?{*|kMC3k#K z%Ykmm9Ul^ROZAo3-IZ`B0Q5+B24fBMOe6>m>yKw*HaFMiC+@By=)c)LWI zK;1ibZ=X1oE88htN2N&Hi=X5(Tt3R=(@SLop60_6mty~)BKTK6PZ6_{;In+*63j_@ zCBvksf_TQ!0|6&AR;S&Ne zD+#{JCkVluq+c>j`p6F0DY@fwS`PG2?)bd8f2yyxom~lc0>CZ_&tR;9T@wj{$+N3Z zh)!~+3={^)mg1Ma3?DFCh-n(q7IZ6i(?-fi*->HIOr=PD#jo*69v=tr34pQzuk-1f zOR@ir2)@H-Tw+!doW*Bg!JK5bWSHzMJ77R^$JewR*gd)9-^IHp?h>xO*M$TCuFbc^ zSOZ+Tv&7`t&L>0{xl;xT17utA+g^qbn9gFFhSZsEMeVea@=(k|k6`7D4B z5cteM*?{+X3+z(t{~&^&@Ge=*N`jyAE;_jGXG4-wtr92l3}@dxp^RPSu#T?uyrz=VWnFxJ3C-o}Qz=b7jeqQBfJ1BC&yllWKO z(3U=6`iW^8Qa`#CZnTl|QAR6Fo2e9Ol(<=G%}Z-hT2?k7l{Sw{u|G$!Woh$@SxK-c ztz|GLnZz6Lk|V@&V4viU&9ofYm$#UnB;xxf?h>xOBqRWEZO$Xc8sO3`#N-+16JmF{ zQw9nHWPo^HFT)4SZep5-v>V-uWVDg;Q6?%(o2e9Og19WLDs6$%=2tdgzS0(SDfZ7F z!G%j(NX$xtizrr!z+QhU+kX3$6;Q$O;&ins1#|6c+t`p zD{aZrmQXfe@zR!ZDfTZB!DUKYTFgp<%a*oGFejP8hfaQkSPmS-hfXC@FmNz$vph-g z!KuE^4sj)r0B|U8-NaY}hw(bUNZ4G4uRxfQWmty}K5o}vp8!;;hwkxe| zFef>d4_^ETu^c##4_->7VBmP(YIu_1;}drY*WT(v0szSs3eQE2t6#LhW z;0C3wFJ>jd4NKb~xZcI~9z08Zh7 zT#PkvY9c`_C(o%qA*RWlGEf*GQ^o6h89re47oWhBehJjq#O@P$o8*Pt2@0RYn;<`^ zohaU@v<{_hQrgDK26QZKQiWoeyC+orUwl?~Xcw9YQY{;ea}rL=9utR%QyXUb2@QALQp+z9|@@lYzp8aSKBS}}Rf_6c#M+$jTv0dj0%;931hIBaH3U}H_`6y>7Oq;0`>2&e-rPZZ%E6tP*=vrELmtwy~uxDvK#H=LP ztF)fMoMaro?$(bG%Ym^CcidjffiVqtti@v*+$CIlU4;YyuFdXZtN||FUSjf`;1l9_ zxl;xT1LQby4==+9%&}schIB05iehLZ<)fUfFm0w%q_f03l-9en9ZT!0Y(SsV`neSQ z`$n)oPfuc265N@mtKj+uJD*3)($13|Z~<>yOQhHiT$tRkxA?+T-)I-P5@7UsxluD5<77yj2sI)yw8=-8#aGnKRit0v0a3qflVpbB|o5zV@PI48`RDOh54qVOq zG@h)q9JnUA<1q0xslM5+btRS)0IuUnM2t0XeIh}`$#Z?G2Ul-akQCAk**MrDs42+20RWZ8!(1PahGEM*a%MKfmh5*f|Gb4 z4(22`@UF{`5X*rZdDm4U1p_znoZ(4=Z%W(}Tzg}L1OTqh@nWn2F5O9D@|=_E_Vq8Z znJOlg^)L0WK@+@&`d4exxoH?mQ==XjQCdjpDA%hnT1=Hl*NOMxp@1g|9v+kln9OUT zOR;}S1gG(GDP|?X19&+Nt_Rs|JX4f*tL%W=d7r|Qg_Z+%@KoYS!tRb#54Jm92_yjA z#VfHGYvArgf{2snZXX2~%AGP$m=qU?r+OJaNzNDF%u9R;)HlTLTX;V5!tG{-Z;eWk zZV^xCv6k0HUJjKFn8Bl{OR@i;2p+}*pO}>d59fg}n3LSYyAD4>EC=r8T?fy`S`OUD z>#Qe<_s;TeoI@F1^FV)8ub)8R6?Qw9pd<5KaVUWN~snPQrTG?Q+H z8*QX~l)DwC%~XnXm-q-?7)v{b2RdZ~j^g#erPzOT1drz>L(EEoC-9OI%t;>Nb=8j$ z%Ylb^R_E1K%YjFdJ02;1B-KOhkFLaW0>GoZ8i}z69^>^)OrFPlI$R@n%0OXwTrED% z%kbfHm6)a>T}8LToi7FSj&&@s^ zZjw7?pfEgc6rb*8_;9&FOw*8Vpj%N4ZKQmZ#}uZ`REqSd_$*%H88*xpWdqLPmT@We zpBupoxvRviBzO^bU2uJi{h24Q(*7hn;4eIZ@tmOLz%vXkPZD;|r21C-t1E#7fM>a3 z#aIK+B@#rOJkR-rxI^xgfx-Z}U3`I;;REJ2@l#BK5~v5o?xz`{UbsD_@Smbmq^HFf z^UB99#9gCoz)W7PT#EgdM(|2r6U3|}conZ1!JOoIo#WW4+ak>@BXd~sLyrD2{rc$KW#rJXzF$kG`$_Cs|>s*Tc4@B@0x+`WS z!9UXd;Ch(7$0bodEC=e{o{0fsYdjB2J!< zeL_4VcgjFvfc!=Lu$SQj=Fj4HxFSlRz9n|g;^or|w|5kNH!4M%C4Q7CNGs`{vH_3N zY?osH6A}Cqe;;C268tlNU%{N@6JDhJ2(cXalou&Rsg?tu@z>%>BK}#bN7(1C1QGzg z;ICSYHSi^e5tHXjpAav~oib1uATNlY_A-3HJTIncNYB%)aHoxwkMgm?w3$kgJ`(?h zJ~9lr|CJ5+E8AU){m(}5MKXw4N$_t}5X?!w;;+Gv5X*tD8SVUKXgTmra>r-H-=umE z`_`3MP5}6h;>B14-zO48oIKzAgm_Kvl!3wkc~$&^m*E5E6){aidWCMqZrVusC|@c} zo2eA(3-L=#0_<>5HsBTRUYBD3s}X#Idqm7if^TvU1#^-g7}S1*SPuNipk|zCIq(yu zd6J0#l(y zZKQmZ?-i!aREqSS_$|CBfSk$(yi?kHF2(*?5&WRE_rpQKvE8$K6NEy#ytbv?K5KNw&xvxHuJ7sugpD7W3-^=g;^Pc!; zBGgBJBm4_(^}_9Eg@2`Keo*^G{1JCUX`hw$sj>l|a0R;*`#+7~ms}@eRucS*>nNC$ zw8(}@^Bl{8d9pixq~*Z8*&RO?&ztMJtfecloB&W{JcF?Y%1nY_@|2nT>N6Ef87K^p zPsLw&89rb>5z{oJPnf5%n>JEDN>*{SnM#q8`0LWX;iBL=P&VM((tdC$_J0?_pGx~t z%u0ekm-bUIC#kYw(o%N7eAykp)^cF}?2g}v=g;-swty?)P5@Xi;~9)KuuvvJFnJcr z+*jY|Y?Oh*0Qp+{qnF_W<|{ExL;8w&8oOyD<)f4;jy6*%QX&3@%aynOl{KnZ4>VQQ zyg~|Y_&-^$EQtYvEnM6&r{jF zm6eqh$_BKota2ZIGlviZcUB)C9j^9R>^+LB!6l`SDVU@0#13MsY&OJ{eSSG;tt z_p)VNi7)|R*^Fl}*1&R^1i|E4&L>1Oxl;xT1Ee9I&&%)u(waSHLyk|K`?pN@Ch-$+$jTv0WzO>1uw$~ zOeLmiNEO|R-L!F8FP#3#EhNKp&*xH{i+dMgPO#wB)BFu1#^-$ z`HS--#ByLQ{^GFLa-dCi$CbrxGIt5r-YP-@0M}+~G1dT=?wVrqEanqpQMpqF3Ik*j z@#JWhnNzvaR^hdyQlxg`^>D9jqslf^HeiFw zI=B@3H;mxMm30)elHewlZ5+%=HlTPvLM#V1q^-Jrj3-3vcAIJW**Ro)+*HdQvO8`j-YnPm z+vcu>I{{#ejAt;`z?PW=!Q|P}C&X%UrwkMZ$g1M4ybK>OtB7eD(kgT-cGE`6N7-0m z+DxTL9mSn1+qSapE89-lfG(BQF2(-sB50L$6|<6Hx5_M-lXS|4$>y>Hw#x3uUD@12*O$7jHMMAX8hP5pCp8At;QHwZvV$5FasXifJ3t zn)EBGr;!{0WlM!=G_@jaA?{vTkIHtate3I@JuB<&Qta;)!M>IC5wnuuj+ONdu18sy zY?y2-J7Bx)j@`8!*gm^s5ApW79&NQN;Z6YPn(++A8n8@)VDgyHh;`*o87Pd9_ToNX zhL4za#M@-b1nPTYcjwHhT-iq9ZKG18&fx~ibt(4m9KivV?Iva= z!QCqx5X?!sWy7SF9nd|yV?QkidSrLpN!%mXW2~nu;Z6YPmGKP58rUI|AecNm_>9;{ z?v#PT2-#4)o0s7uW&<%zL)w6D#ctY2`6#9^ZKhJBuHu1}4XSKtWkZw=7+l#fmty~r z2#%<1xR{j$_o!?{FemAq4U?X-1Nvll9H`|$-|UWq#C>x;)^>Cy+z9~vGM>R$13P6B z1e0ecpAnnMoib1uA)AVadl^1rHWAY_q)q5n?52&BkFtZpw3$kgdWrX}Y_G~jRkpXX z0V69L?NaRDJAz{?8zW{V!Eu$14dx{MvthEM?0}uKJMO9Fz%JPx_Y&`txl6eAMhXc4 zT$`iCSOZ+TQa|zd z$|h8{Pi2#o4VYNjzAnZ7NfDe<*<>**3GP?fl;HXS+dUg517rsb%`J&30ET2dgRusNW)cLGXQ)qz?d47xC=8J8#FM=YA240SyJpG+>QS+Kx6G+r z*;U~IQ7O`H;{7X|TG{l<4p25=T4e{i6#EZ|;6atm5VMlt!Id2p%t?l2!(_1RfZ^F4 z_t$b@M0Uri;t{!i$o6n0+z9}CW;}zj2KLG%2qw>7J|TL@oib1uAl=0?ybK>O-NZBv zsTJq4J4(z-g2z;LbTB6w znGKUYWC!e>-SH4D2S#OgJXAa?*ALrhSHhhDFec*}j5RPelOUKpV|_yOl{;miFhKf< zkMc5n!1NZ=G^E~iD|XXH%17BtVcJZkNPCKpt?anUPOR(%Wdn|{>?D_B{|OO1rLvR7 ztR#49Wv2vll5yEE87(_te0IlUwH%m`-SIf_gv?#SwRgOb0Km0*k{D}%OZQYUd3N;) zv5VX(1BC&yv-o5$!v{=%F-=42Pq(6W+DQ2*V-=>&REji4d|G9vS9VrqXDSN|7ds&#&x) z$}X<#B4qR$0|#Xi1e50=pAaMDP8lc+km2H)UWN~tVPcwwG>mS=ZrVusC{q=t z%~XoCzxeXXuBhzl%C1s2;L6IbaVhp+6~XH&yH?Cfg4b7eT`(s(I2$Gh$__XryW{0r z4jh`@@e1*wxqi$Jb0ypf0EcHhgRusV$Rr3R&k;T$M#-HrP#7S4i?8)Ee87wp(=?=! zbSrk#M#@JyNMYJcrARZxH&k|GWw%szv$6p-d@>lVpbBoqq5tBImwaP zFgZ+iz){&9Z_sk!= zUWN~tablW=G>&dX?X;2dQI1fUHd86m;o>_hyQ{K$E4xS8fV(TZ&!yOZPXr&R?0zvT z2|ifa1HtvHWj*}g5LUzYHwH!DxyW?Hr6LbB9o#aZm697)mcm`t)oRUcpOrBGG zLQIi6WuP!XCX4U)GJL@7D?TPuCQv^TyN}JB%9UdjJ}xRnI#&EpWe->OXk~v?HsF!U z9&;)7|1pA3RQ9--l?0!x?1^Aba%whAPLdsPT6V{Wv>Z4+yW_*+({uf#o#9Hj69CT4 zcm`t)oRvusOrEoRLQI!CWuP!X4iG=?W%z)ZCZ=gf)96<0rj3-3a*D#VnM#pP7C%+l z)0O?DvOg;u@Tbb2aVhryIfBnt_E#}02|icZv%#F?>};5vAv@rl?2b=qIdE=v$EU^T z=K3i+&y{c|0Gyxk48|I`Ad?`NJQw(cI8^SGfx-YeMEqAT!w1a4Vw#3@Fx`sXw2|^r z&Qh2*Qz_D!;^!-Sp|Y1M`FIM)lOR@iN5q!0>SH!F&_*!MJ26K`Nvte?c?0}21 zJ3g=Fz{S}eUl3oMxl6eAUKA1lxHexFV-0ZWz9uHmF+L%VmOEvjFhGtHzv5;1fH_i3 z(~yp&TTwf0q%u0gqRyHfR z9%qL&43kS`2OQdP$G>Yia7e=)Ul$+JsK?u78715a0GIO}o)~N3icErtljjPb5GTr= zGEf*GCy3wiGJL=sFTRAY`gk^@zp;B}=2Wg+qVT2JD@B?qey_6kEBmOj50wr0pt6r$ ziv1r(@YBjZ5wnuuXO(>#%t;Pz7$%p=4mhacj_+wXFr(p)?~7+N>IrsbMhSNUz*T&Q zC&n7MI+Gyc#OZRU3={^)Y2r`33?DG3ifJ0ssdOuL(?-fixk6#uOr=Pdi$AaI zi^{&P>?>shzO3vUmty}{5&W*QZ^f)6_1?_cyJ;ik zqg<^pZKhJBtHeK4_9I_|@y(aA0YC9InM<+%=Lk0Dv!?liSxKUI*TYi0Q zvsgBaUzXc!&cD9CGyhJ@KO+74_i>u}zso*!!pVc$^{AVtwoUr8V$=3p*C+lu`%lZJ zMVkhV9yN4)yHR5%H<}h~dZ@XU&H3Mxy7jRhJ2jdnHSO1W$k6eF$F=U*s`Vy)+P81r zrd8`)6Z?D(GaFt>HTSHthE{pZ_%vx}O_Ik$ho?LU0n z=!s+gasQ8O?(STdv;X)1^ZwuPfA4?wb8i3lKfOnM2K>8wWX_!MJafB8ejER7E&pi^ zer^4`8h(5I&8>#t#(!JG@7*JFt9fqs$lTVs|D1aN=iH}_W^J4Q*9-M?vpya5=thku z|7r1?hD~ocbn5G`**)ri-t)wXM|J9Q$2?8`^DlckG@3f?IJZ6d(>t1Wd8#RXTK-d> z>0i#e-}1knD*knw&mW&I{!{!@w#6TA`I~9fqt0=F P+?1Q<=fw9s>Ph|&ZK$vW literal 0 HcmV?d00001 diff --git a/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses.py b/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses.py new file mode 100644 index 0000000..2933699 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses.py @@ -0,0 +1,19 @@ +"""views npz with skin matrices from refit poses: views_from_poses.py poses.json out.npz""" +import sys, json, numpy as np +from posefit import rotvec +from fk import qmat, rig_world +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); P = json.load(open(sys.argv[1])) +R, par, Brel = r["R"], r["parent"], r["Brel"]; Rinv = np.linalg.inv(R); B = len(R) +fk = {tuple(k): n for n, k in enumerate(r["keys"])} +W = v["W"].copy() +for n, (a, i, d) in enumerate(v["keys"]): + x = np.array(P["%d,%d" % (a, i)]["x"]); f = fk[(a, i)] + rr = x[:3 * B].reshape(B, 3); dl = x[3 * B:3 * B + 3]; g = x[3 * B + 3:].reshape(B, 2) if len(x) > 3 * B + 3 else np.zeros((B, 2)) + Pm = np.zeros((B, 4, 4)) + for b in range(B): + M = np.eye(4); M[:3, :3] = qmat(r["quat"][f, b]) @ rotvec(rr[b]); M[:3, 3] = r["loc"][f, b] + (dl if b == 0 else 0) + Pm[b] = (R[b] if par[b] < 0 else Pm[par[b]] @ Rinv[par[b]] @ R[b]) @ M + Gm = np.tile(np.eye(4), (B, 1, 1)); Gm[:, 0, 0] = np.exp(g[:, 0]); Gm[:, 2, 2] = np.exp(g[:, 1]) + W[n] = rig_world(d) @ Pm @ Gm @ Rinv @ Brel +out = {k: v[k] for k in v.files}; out["W"] = W +np.savez_compressed(sys.argv[2], **out); print("ok", len(W)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses13.py b/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses13.py new file mode 100644 index 0000000..89eb959 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/views_from_poses13.py @@ -0,0 +1,19 @@ +"""views npz with 55-bone skin matrices from refit poses: views_from_poses13.py shape.json poses.json out.npz""" +import sys, json, numpy as np +from shape13 import Shape, load_params +from skel13 import Skel13 +from posefit13 import Frame13 +from fk import rig_world +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]); P = json.load(open(sys.argv[2])) +S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params(sys.argv[1]), full=True) +K = Skel13(S, r["R"], r["parent"], bones, Vf) +fk = {tuple(k): n for n, k in enumerate(r["keys"])} +W = np.zeros((len(v["keys"]), len(K.names), 4, 4)); cache = {} +for n, (a, i, d) in enumerate(v["keys"]): + if (a, i) not in cache: + f = fk[(a, i)] + fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + cache[(a, i)] = fr.skin(np.array(P["%d,%d" % (a, i)]["x"])) + W[n] = rig_world(d) @ cache[(a, i)] +out = {k: v[k] for k in v.files}; out["W"] = W +np.savez_compressed(sys.argv[3], **out); print("ok", W.shape) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/weaponfit.py b/third_party/UO_Model3D_v13/pipeline/body13/weaponfit.py new file mode 100644 index 0000000..889ff2f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/weaponfit.py @@ -0,0 +1,102 @@ +"""calibrate how a weapon sits in the hand from the original UO weapon frames (anim.mul, e.g. katana 627): +a rigid stick (grip point + direction + length) in the hand bone's local frame, one for all frames, maximising the +IoU of the drawn stick with the weapon sprite. usage: weaponfit.py anim bone out.json [--len 0.9]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, numpy as np +from numba import njit +sys.path.insert(0, HERE) +from itemframes import load, canvas +from shape13 import Shape, load_params +from skel13 import Skel13 +from posefit13 import Frame13 +from fk import rig_world + +ANIM, BONE, OUT = int(sys.argv[1]), sys.argv[2], sys.argv[3] +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) +S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params("shape_r2.json"), full=True) +K = Skel13(S, r["R"], r["parent"], bones, Vf); P = json.load(open(sys.argv[sys.argv.index("--poses") + 1] if "--poses" in sys.argv else "poses13_r3.json")) +fk = {tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])} +it = load(ANIM); b = K.ix[BONE] +views = []; cache = {} +for n, k in enumerate(v["keys"]): + a, i, d = (int(x) for x in k) + m = canvas(it.get((a, d)), i)[..., 3] > 0 + if not m.any() or "%d,%d" % (a, i) not in P: continue + if (a, i) not in cache: + f = fk[(a, i)] + fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + Sk = fr.skin(np.array(P["%d,%d" % (a, i)]["x"])) + cache[(a, i)] = Sk[b] @ K.R[b] # bone pose matrix (armature) + M = v["C"][n] @ rig_world(d) @ cache[(a, i)] + views.append((M, m)) +print("views with the weapon", len(views)) +Ms = np.array([x[0] for x in views]); masks = np.array([x[1] for x in views]) + + +from scipy.ndimage import distance_transform_edt +DT = np.array([distance_transform_edt(~m) for m in masks]) # distance to the sprite +PIX = [np.argwhere(m)[:, ::-1] + 0.5 for m in masks] # sprite pixel centres (x, y) +NP = max(len(p) for p in PIX); PX = np.zeros((len(PIX), NP, 2)); PN = np.array([len(p) for p in PIX]) +for k, p in enumerate(PIX): PX[k, :len(p)] = p + + +@njit(cache=True) +def score(Ms, DT, PX, PN, p0, u, L, rad): + """- mean symmetric chamfer distance (px) between the projected stick and the sprite (higher is better)""" + tot = 0.0; ns = 40 + for k in range(Ms.shape[0]): + M = Ms[k] + a0 = p0; a1 = p0 + u * L + ax = (M[0, 0] * a0[0] + M[0, 1] * a0[1] + M[0, 2] * a0[2] + M[0, 3] + 1.0) * 68.0 + ay = (1.0 - (M[1, 0] * a0[0] + M[1, 1] * a0[1] + M[1, 2] * a0[2] + M[1, 3])) * 60.0 + bx = (M[0, 0] * a1[0] + M[0, 1] * a1[1] + M[0, 2] * a1[2] + M[0, 3] + 1.0) * 68.0 + by = (1.0 - (M[1, 0] * a1[0] + M[1, 1] * a1[1] + M[1, 2] * a1[2] + M[1, 3])) * 60.0 + d1 = 0.0 + for s in range(ns + 1): + x = ax + (bx - ax) * s / ns; y = ay + (by - ay) * s / ns + xi = min(max(int(x), 0), 135); yi = min(max(int(y), 0), 119) + d1 += min(DT[k, yi, xi], 15.0) + d1 /= ns + 1 + d2 = 0.0; ex = bx - ax; ey = by - ay; ll = ex * ex + ey * ey + 1e-9 + for j in range(PN[k]): + qx = PX[k, j, 0]; qy = PX[k, j, 1] + t = ((qx - ax) * ex + (qy - ay) * ey) / ll + t = min(max(t, 0.0), 1.0) + dx = ax + ex * t - qx; dy = ay + ey * t - qy + d2 += min(np.sqrt(dx * dx + dy * dy), 15.0) + d2 /= max(PN[k], 1) + tot += 0.5 * (d1 + d2) + return -tot / Ms.shape[0] + + +def unit(th, ph): + return np.array([np.sin(th) * np.cos(ph), np.sin(th) * np.sin(ph), np.cos(th)]) + + +L0 = float(sys.argv[sys.argv.index("--len") + 1]) if "--len" in sys.argv else 0.9 +best = (-np.inf, None) +# coarse search of the direction (hand local), grip at the fist centre +fist = np.linalg.inv(K.R[b])[:3, :3] @ (np.mean([K.R[K.ix[f + BONE[-2:]]][:3, 3] for f in ("finger2-1", "finger5-1")], 0) - K.R[b][:3, 3]) +print("fist centre in hand space", np.round(fist, 3)) +for th in np.linspace(0, np.pi, 13): + for ph in np.linspace(-np.pi, np.pi, 24, endpoint=False): + u = unit(th, ph); s = score(Ms[::3], DT[::3], PX[::3], PN[::3], fist, u, L0, 1.2) + if s > best[0]: best = (s, (th, ph)) +print("coarse best dir", np.round(best[1], 3), "chamfer %.2f px" % -best[0]) +x = np.array([best[1][0], best[1][1], fist[0], fist[1], fist[2], L0]) +f = score(Ms, DT, PX, PN, fist, unit(x[0], x[1]), x[5], 1.2) +steps = np.array([0.1, 0.1, 0.02, 0.02, 0.02, 0.08]) +for sc_ in (1, 0.5, 0.25, 0.12): + for _ in range(3): + imp = False + for j in range(6): + for sg in (1, -1): + y = x.copy(); y[j] += sg * steps[j] * sc_ + fy = score(Ms, DT, PX, PN, y[2:5], unit(y[0], y[1]), y[5], 1.2) + if fy > f + 1e-4: x, f = y, fy; imp = True; break + if not imp: break + print("scale %.2f chamfer %.3f px" % (sc_, -f), flush=True) +u = unit(x[0], x[1]); p0 = x[2:5] +json.dump(dict(anim=ANIM, bone=BONE, grip=p0.tolist(), dir=u.tolist(), length=float(x[5]), iou=float(f)), open(OUT, "w"), indent=1) +print("grip (hand local)", np.round(p0, 3), "dir", np.round(u, 3), "length %.2f" % x[5], "chamfer %.3f px" % -f) diff --git a/third_party/UO_Model3D_v13/pipeline/body_part_qa.py b/third_party/UO_Model3D_v13/pipeline/body_part_qa.py new file mode 100644 index 0000000..86bf72d --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_part_qa.py @@ -0,0 +1,65 @@ +"""Body QA per part: the label images of body_part_raster.py against the original UO body frames (client/body_0x190_frames). + + python body_part_raster.py ../model/UO_Body_0x190.blend /tmp/lab.npz + python body_part_qa.py /tmp/lab.npz [--out ../docs/qa/body_parts_baseline.json] + +Per part: `model+` = pixels only the model has (counted for the part that draws them), `sprite+` = pixels only the original has +(counted for the nearest model part). Totals are pixels per frame; IoU is the whole-silhouette IoU (same as body_silhouette_qa.py). +""" +import argparse, json, os +import numpy as np +from PIL import Image +from scipy.ndimage import distance_transform_edt + +HERE = os.path.dirname(os.path.abspath(__file__)) +ORIG = os.path.join(HERE, "..", "client", "body_0x190_frames") + + +def originals(): + meta = json.load(open(os.path.join(ORIG, "meta.json"))) + W, H = meta["canvas"]; out = {} + for blk in meta["blocks"]: + act = "%02d_%s" % (blk["action"], blk["name"]) + for i, fr in enumerate(blk["frames"]): + p = os.path.join(ORIG, "frames", act, "dir%d" % blk["dir"], fr["file"]) + out[(blk["action"], blk["dir"], i)] = np.array(Image.open(p).convert("RGBA"))[..., 3] > 0 if os.path.exists(p) else np.zeros((H, W), bool) + return out + + +def analyse(lab, key, parts): + O = originals(); P = len(parts) + sprite = np.zeros((len(key), P)); model = np.zeros((len(key), P)); iou = np.zeros(len(key)); ok = np.zeros(len(key), bool) + for n, (a, d, i) in enumerate(key): + g = O[(a, d, i)]; L = lab[n]; m = L >= 0 + if not g.any(): + continue + ok[n] = True + iou[n] = (m & g).sum() / max((m | g).sum(), 1) + b = m & ~g; np.add.at(model[n], L[b], 1) + r = g & ~m + if r.any(): + _, (iy, ix) = distance_transform_edt(~m, return_indices=True) + np.add.at(sprite[n], L[iy[r], ix[r]], 1) + return iou, sprite, model, ok + + +def main(): + ap = argparse.ArgumentParser(); ap.add_argument("lab"); ap.add_argument("--out") + a = ap.parse_args() + d = np.load(a.lab); lab, key, parts = d["lab"], d["key"], [str(p) for p in d["parts"]] + iou, sprite, model, ok = analyse(lab, key, parts) + k = ok + print("frames %d IoU %.4f model+ %.1f sprite+ %.1f px/frame" % (k.sum(), iou[k].mean(), model[k].sum(1).mean(), sprite[k].sum(1).mean())) + print("%-12s %8s %8s %8s" % ("part", "sprite+", "model+", "sum")) + rows = [] + for j, p in sorted(enumerate(parts), key=lambda t: -(sprite[k][:, t[0]].sum() + model[k][:, t[0]].sum())): + s, m = sprite[k][:, j].mean(), model[k][:, j].mean(); rows.append((p, s, m)) + print("%-12s %8.2f %8.2f %8.2f" % (p, s, m, s + m)) + if a.out: + out = dict(frames=int(k.sum()), iou=float(iou[k].mean()), parts={p: dict(sprite=float(s), model=float(m)) for p, s, m in rows}, + iou_by_action={str(x): float(iou[k & (key[:, 0] == x)].mean()) for x in sorted(set(key[:, 0]))}) + json.dump(out, open(a.out, "w"), indent=1) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_part_raster.py b/third_party/UO_Model3D_v13/pipeline/body_part_raster.py new file mode 100644 index 0000000..7969001 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_part_raster.py @@ -0,0 +1,134 @@ +"""Per-part label images of the pure 3D body, for every UO action / direction / frame (no Cycles: pixel-centre rasteriser). + + python body_part_raster.py ../model/UO_Body_0x190.blend OUT.npz [--offset dx,dy] [--actions 0,1,2] + +Writes `lab` (N, 133, 145) int8 in the canvas of the ORIGINAL body frames (145x133, anchor (75,92), 36 px/m): part index per pixel, +-1 = empty or hidden by the horse (mounted actions); `key` (N, 3) = (action, dir, frame); `parts` = part names. Parts: dominant bone group of a triangle's vertices, merged +(fingers -> hand, twist bones -> limb, toe -> foot), left / right kept apart. `body_part_qa.py` compares it with the original frames. +Needs: pip install numpy "bpy==4.2.*". +""" +import sys, os +import numpy as np +import bpy + +CW, CH, CANCH = 145, 133, (75, 92) # canvas and anchor of the original UO body frames +STEP = 3 # scene frames between two UO frames + + +def part_of(name): + base, _, side = name.partition(".") + if base.startswith("finger"): + base = "hand" + base = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"}.get(base, base) + return base + ("." + side if side else "") + + +def raster(ob, dg, Pm, Vm, tlab, off=(0.0, 0.0)): + """label (tlab[triangle], or 0 when tlab is None) and camera depth of the nearest triangle per pixel, pixel-centre rule""" + ev = ob.evaluated_get(dg); m2 = ev.to_mesh() + co = np.empty(len(m2.vertices) * 3, np.float32); m2.vertices.foreach_get("co", co); co = co.reshape(-1, 3) + m2.calc_loop_triangles() + tri = np.empty(len(m2.loop_triangles) * 3, np.int32); m2.loop_triangles.foreach_get("vertices", tri); tri = tri.reshape(-1, 3) + Mw = np.array(ev.matrix_world); ev.to_mesh_clear() + lt = np.zeros(len(tri), np.int8) if tlab is None else tlab + assert len(tri) == len(lt) + hv = np.c_[co, np.ones(len(co))] @ (Vm @ Mw).T + h = hv @ Pm.T; ndc = h[:, :2] / h[:, 3:4] + P = np.stack([(ndc[:, 0] + 1) * 0.5 * CW, (1 - ndc[:, 1]) * 0.5 * CH], 1)[tri] + np.array(off) + Z = -hv[:, 2][tri] + lab = np.full((CH, CW), -1, np.int8); depth = np.full((CH, CW), np.inf) + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + A, B, C = P[:, 0], P[:, 1], P[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + for dy in range(int(size[:, 1].max(initial=0)) + 1): + for dx in range(int(size[:, 0].max(initial=0)) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px_ = mn[t, 0] + dx; py_ = mn[t, 1] + dy; cx, cy = px_ + 0.5, py_ + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + kk = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px_ >= 0) & (py_ >= 0) & (px_ < CW) & (py_ < CH) + z = l0[kk] * Z[t[kk], 0] + l1[kk] * Z[t[kk], 1] + (1 - l0[kk] - l1[kk]) * Z[t[kk], 2] + tt, yy, xx = t[kk], py_[kk], px_[kk] + o = np.argsort(-z) # far first: the nearest triangle is written last + o = o[z[o] < depth[yy[o], xx[o]]] + depth[yy[o], xx[o]] = z[o]; lab[yy[o], xx[o]] = lt[tt[o]] + return lab, depth + + +def main(): + args = sys.argv[1:] + blend, out = os.path.abspath(args.pop(0)), os.path.abspath(args.pop(0)) + only, OFF = None, (0.0, 0.0) + if args and args[0] == "--offset": # test: shift the whole render by (dx, dy) px + args.pop(0); OFF = tuple(float(x) for x in args.pop(0).split(",")) + if args and args[0] == "--actions": + args.pop(0); only = {int(x) for x in args.pop(0).split(",")} + bpy.ops.wm.open_mainfile(filepath=blend) + sc = bpy.context.scene + rig, body = bpy.data.objects["UO_Rig"], bpy.data.objects["UO_Body"] + sc.camera = bpy.data.objects["UO_Camera"]; cd = sc.camera.data + cd.sensor_fit = "HORIZONTAL"; cd.ortho_scale = CW / sc.get("uo_px_per_m", 36.0); cd.shift_x = cd.shift_y = 0.0 + sc.render.resolution_x, sc.render.resolution_y, sc.render.resolution_percentage = CW, CH, 100 + + def anchor_px(): + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + P = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)) @ np.array(cam.matrix_world.inverted()) @ \ + np.array([0.0, 0.0, sc.get("uo_anchor_height", 0.07), 1.0]) + return np.array([(P[0] / P[3] + 1) * 0.5 * CW, (1 - P[1] / P[3]) * 0.5 * CH]) + + p0 = anchor_px(); cd.shift_x = cd.shift_y = 0.01; p1 = anchor_px(); k = (p1 - p0) / 0.01 + want = np.array(CANCH, float) + (np.array(sc.get("uo_anchor_px", (68.5, 86.0))) - np.array((68, 86))) + sh = (want - p0) / k; cd.shift_x, cd.shift_y = float(sh[0]), float(sh[1]) + assert np.abs(anchor_px() - want).max() < 1e-3 + + names = [g.name for g in body.vertex_groups] + parts = sorted({part_of(n) for n in names}); pid = {p: i for i, p in enumerate(parts)} + gpart = np.array([pid[part_of(n)] for n in names]) + me = body.data + Wv = np.zeros((len(me.vertices), len(parts))) + for v in me.vertices: + for g in v.groups: + Wv[v.index, gpart[g.group]] += g.weight + me.calc_loop_triangles() + tri0 = np.array([t.vertices[:] for t in me.loop_triangles]) + tlab = Wv[tri0].sum(1).argmax(1) + + horses = {o.name: o for o in bpy.data.objects if o.name.startswith("Horse_")} + for o in horses.values(): + o.hide_viewport = o.hide_render = False # hidden objects are not evaluated by the depsgraph + HORSE = {} + if "uo_horse_masks.json" in bpy.data.texts: + import base64, zlib, json + for k, v in json.loads(bpy.data.texts["uo_horse_masks.json"].as_string())["masks"].items(): + bits = np.unpackbits(np.frombuffer(zlib.decompress(base64.b64decode(v)), np.uint8))[:120 * 136].reshape(120, 136).astype(bool) + m = np.zeros((CH, CW), bool); m[CANCH[1] - 86:CANCH[1] - 86 + 120, CANCH[0] - 68:CANCH[0] - 68 + 136] = bits + HORSE[tuple(int(x) for x in k.split(","))] = m + + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + labs, keys = [], [] + for act in acts: + a = int(act["uo_action"]) + if only is not None and a not in only: + continue + rig.animation_data.action = act + for d in range(5): + rig["uo_direction"] = d + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + i * STEP); rig.update_tag(); body.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + Pm = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)); Vm = np.array(cam.matrix_world.inverted()) + lab, depth = raster(body, dg, Pm, Vm, tlab, OFF) + h_ob = horses.get("Horse_a%d_f%d" % (a, i)) + hm = HORSE.get((a, i, d)) + if h_ob is not None and hm is not None: # mounted: the horse hides what is behind it, clipped to its sprite + hl, hd = raster(h_ob, dg, Pm, Vm, None, OFF) + hide = (hl >= 0) & (hd < depth) & hm + lab[hide] = -1 + labs.append(lab); keys.append((a, d, i)) + print("action", a, "done", flush=True) + np.savez_compressed(out, lab=np.array(labs), key=np.array(keys), parts=np.array(parts)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_pose_apply.py b/third_party/UO_Model3D_v13/pipeline/body_pose_apply.py new file mode 100644 index 0000000..f8e6f3b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_pose_apply.py @@ -0,0 +1,49 @@ +"""Write fitted pose corrections (corr.npz of body_pose_fit.py) into the keyframes of the actions of model/UO_Body_0x190.blend. + + python body_pose_apply.py ../model/UO_Body_0x190.blend corr.npz [--out OTHER.blend] + +Only the keyframe VALUES of rotation_quaternion / location / scale of the bones that differ are changed (handles move with their key), at frame 1+3*i of the +pose (action, i). Nothing else in the file changes. Bones without a curve for the changed channel are skipped with a warning. +""" +import sys, argparse, os +import numpy as np +import bpy +from bpy_compat import action_fcurves, find_fcurve + + +def main(): + ap = argparse.ArgumentParser(); ap.add_argument("blend"); ap.add_argument("corr"); ap.add_argument("--out"); a = ap.parse_args() + bpy.ops.wm.open_mainfile(filepath=os.path.abspath(a.blend)) + c = np.load(a.corr); bones = [str(b) for b in c["bones"]]; key = c["key"] + rig = bpy.data.objects["UO_Rig"] + acts = {int(x["uo_action"]): x for x in bpy.data.actions if "uo_action" in x} + chan = {"rotation_quaternion": (c["quat"], 4), "location": (c["loc"], 3), "scale": (c["scl"], 3)} + nset = nskip = 0; skipped = set() + for p, (act, i) in enumerate(key): + A = acts[int(act)]; fr = 1 + int(i) * 3 + for dp, (arr, n) in chan.items(): + for j, bn in enumerate(bones): + new = arr[p, j] + if dp == "rotation_quaternion": # keep the sign convention of the old key (q and -q are the same rotation) + old = np.array([find_fcurve(A, 'pose.bones["%s"].%s' % (bn, dp), k).evaluate(fr) if find_fcurve(A, 'pose.bones["%s"].%s' % (bn, dp), k) else np.nan for k in range(4)]) + if not np.isnan(old).any() and (old * new).sum() < 0: + new = -new + for k in range(n): + fc = find_fcurve(A, 'pose.bones["%s"].%s' % (bn, dp), k) + if fc is None: + skipped.add((bn, dp)); continue + kp = [q for q in fc.keyframe_points if abs(q.co[0] - fr) < 1e-6] + if not kp: + skipped.add((bn, dp, "nokey")); continue + v = float(new[k]); q = kp[0] + if abs(q.co[1] - v) > 1e-7: + d = v - q.co[1]; q.co[1] = v; q.handle_left[1] += d; q.handle_right[1] += d; nset += 1 + for A in acts.values(): + for fc in action_fcurves(A): + fc.update() + print("keyframe values changed: %d; skipped channels: %s" % (nset, sorted(skipped)[:10])) + bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(a.out or a.blend)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_pose_export.py b/third_party/UO_Model3D_v13/pipeline/body_pose_export.py new file mode 100644 index 0000000..7dbadcf --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_pose_export.py @@ -0,0 +1,101 @@ +"""Export the posed-body data of all 1050 UO frames, so shape work can run offline (numpy only, no Blender). + + python body_pose_export.py ../model/UO_Body_0x190.blend OUT.npz + +Writes: rest (N,3) rest vertices, wi (N,K) / ww (N,K) bone indices and weights (K influences, padded with weight 0), tris (T,3) triangles of +the quads, tpart-less; bones (list), M (F,B,4,4) armature-space skinning matrices per frame (pose @ rest^-1), MW (F,4,4) body matrix_world, +key (F,3) = (action, dir, frame), cam (3,4,4)= [Pm, Vm, (CW, CH, 0, 0)], horse_depth (F,CH,CW) float32 (inf = none) and horse_mask (F,CH,CW) +bool for mounted frames. Canvas is the one of the original frames: 145x133, anchor (75,92). resid_idx / resid_val / resid_frame: where plain LBS of rest with M differs from Blender's evaluated mesh by > 0.1 mm (shoulders: +bendy-bone / twist bones), as sparse vertex offsets per frame; Scene.posed adds them. +""" +import sys, os, json +import numpy as np +import bpy + +sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) +CW, CH, CANCH = 145, 133, (75, 92) +STEP = 3 + + +def main(): + blend, out = os.path.abspath(sys.argv[1]), os.path.abspath(sys.argv[2]) + bpy.ops.wm.open_mainfile(filepath=blend) + sc = bpy.context.scene + rig, body = bpy.data.objects["UO_Rig"], bpy.data.objects["UO_Body"] + sc.camera = bpy.data.objects["UO_Camera"]; cd = sc.camera.data + cd.sensor_fit = "HORIZONTAL"; cd.ortho_scale = CW / sc.get("uo_px_per_m", 36.0); cd.shift_x = cd.shift_y = 0.0 + sc.render.resolution_x, sc.render.resolution_y, sc.render.resolution_percentage = CW, CH, 100 + + def anchor_px(): + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + P = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)) @ np.array(cam.matrix_world.inverted()) @ \ + np.array([0.0, 0.0, sc.get("uo_anchor_height", 0.07), 1.0]) + return np.array([(P[0] / P[3] + 1) * 0.5 * CW, (1 - P[1] / P[3]) * 0.5 * CH]) + + p0 = anchor_px(); cd.shift_x = cd.shift_y = 0.01; p1 = anchor_px(); k = (p1 - p0) / 0.01 + want = np.array(CANCH, float) + (np.array(sc.get("uo_anchor_px", (68.5, 86.0))) - np.array((68, 86))) + sh = (want - p0) / k; cd.shift_x, cd.shift_y = float(sh[0]), float(sh[1]) + assert np.abs(anchor_px() - want).max() < 1e-3 + rig.data.pose_position = "POSE" + bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + Pm = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)); Vm = np.array(cam.matrix_world.inverted()) + + names = [g.name for g in body.vertex_groups] + rest = np.array([v.co[:] for v in body.data.vertices]) + Wm = np.zeros((len(rest), len(names))) + for v in body.data.vertices: + for g in v.groups: + Wm[v.index, g.group] = g.weight + for j, n in enumerate(names): # Blender ignores the groups of bones with Deform off (the clavicles) and renormalises + if not rig.data.bones[n].use_deform: + Wm[:, j] = 0.0 + Wm /= np.maximum(Wm.sum(1, keepdims=True), 1e-9) + K = int((Wm > 0).sum(1).max()) + wi = np.argsort(-Wm, 1)[:, :K]; ww = np.take_along_axis(Wm, wi, 1) + body.data.calc_loop_triangles() + tris = np.array([t.vertices[:] for t in body.data.loop_triangles], np.int32) + horses = {o.name: o for o in bpy.data.objects if o.name.startswith("Horse_")} + for o in horses.values(): + o.hide_viewport = o.hide_render = False + HM = {} + if "uo_horse_masks.json" in bpy.data.texts: + import base64, zlib + for kk, v in json.loads(bpy.data.texts["uo_horse_masks.json"].as_string())["masks"].items(): + bits = np.unpackbits(np.frombuffer(zlib.decompress(base64.b64decode(v)), np.uint8))[:120 * 136].reshape(120, 136).astype(bool) + m = np.zeros((CH, CW), bool); m[CANCH[1] - 86:CANCH[1] - 86 + 120, CANCH[0] - 68:CANCH[0] - 68 + 136] = bits + HM[tuple(int(x) for x in kk.split(","))] = m + + Ms, MWs, keys, hd, hm = [], [], [], [], [] + R4 = np.c_[rest, np.ones(len(rest))]; RI, RV, RF = [], [], [] # residual: Blender's evaluated mesh minus the plain LBS below + from body_part_raster import raster # horse proxies are rasterised with the same code + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + for act in acts: + a = int(act["uo_action"]); rig.animation_data.action = act + for d in range(5): + rig["uo_direction"] = d + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + i * STEP); rig.update_tag(); bpy.context.view_layer.update() + M = np.zeros((len(names), 4, 4)) + for j, n in enumerate(names): + pb = rig.pose.bones[n]; M[j] = np.array(pb.matrix @ pb.bone.matrix_local.inverted()) + Ms.append(M); MWs.append(np.array(body.matrix_world)); keys.append((a, d, i)) + ev = body.evaluated_get(bpy.context.evaluated_depsgraph_get()); me = ev.to_mesh() + co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co); ev.to_mesh_clear() + lbs = (np.einsum("nkij,nj->nki", M[wi], R4)[..., :3] * ww[..., None]).sum(1) + r = co.reshape(-1, 3) - lbs; bad = np.nonzero(np.linalg.norm(r, axis=1) > 1e-4)[0] + RI.append(bad); RV.append(r[bad].astype(np.float32)); RF.append(np.full(len(bad), len(Ms) - 1)) + h = horses.get("Horse_a%d_f%d" % (a, i)); m = HM.get((a, i, d)) + if h is not None and m is not None: + dg = bpy.context.evaluated_depsgraph_get() + hl, depth = raster(h, dg, Pm, Vm, None) + hd.append(np.where(hl >= 0, depth, np.inf).astype(np.float32)); hm.append(m) + else: + hd.append(np.full((CH, CW), np.inf, np.float32)); hm.append(np.zeros((CH, CW), bool)) + print("action", a, flush=True) + np.savez_compressed(out, rest=rest, wi=wi, ww=ww, tris=tris, bones=np.array(names), M=np.array(Ms, np.float32), MW=np.array(MWs), + key=np.array(keys), resid_idx=np.concatenate(RI), resid_val=np.concatenate(RV), resid_frame=np.concatenate(RF), Pm=Pm, Vm=Vm, canvas=np.array([CW, CH]), horse_depth=np.array(hd), horse_mask=np.array(hm)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_pose_fit.py b/third_party/UO_Model3D_v13/pipeline/body_pose_fit.py new file mode 100644 index 0000000..267ec08 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_pose_fit.py @@ -0,0 +1,171 @@ +"""Silhouette-driven refinement of the POSES of the body (per pose: small corrections of bone rotations / pelvis location / limb scales). + + python body_pose_fit.py pose.npz fk.npz --out corr.npz [--iters 4] [--lam 1.0] [--holdout-dir 3] [--max-rot 0.12] [--scale] + +A pose (action, frame) is shared by the 5 directions, so its 5 silhouettes constrain the 3D pose together. For every pose we fit +theta = (rotation vectors of the fitted bones, pelvis location, optionally x/z scale of limb bones) so that the contour of the model moves onto the +contour of the sprites. Same contour constraints as body_shape_fit.py (signed distance of the model contour to the sprite contour along the 2D normal), +Jacobian by finite differences of the forward kinematics (exact for inherit-scale-NONE bones too), damped Gauss-Newton with an absolute ridge (--lam-*, px^2 per rad^2 / m^2) towards the +ORIGINAL pose and a hard cap on the accumulated rotation. The body shape (rest vertices) is not touched. `--holdout-dir d` keeps direction d out of the fit +and reports its IoU: poses that are right in 3D improve there too. Writes corr.npz: for each pose the new loc / quat / scl of every bone. +Needs numpy, scipy, pillow. +""" +import argparse, time +import numpy as np +from scipy.ndimage import distance_transform_edt, map_coordinates, binary_dilation +import body_shape_lib as L +import body_pose_lib as PL +from body_shape_fit import signed_dist, vertex_normals + +ROT = ["pelvis", "spine", "chest", "neck", "head", "clavicle.L", "clavicle.R", "upper_arm.L", "upper_arm.R", "forearm.L", "forearm.R", "hand.L", "hand.R", + "thigh.L", "thigh.R", "shin.L", "shin.R", "foot.L", "foot.R", "toe.L", "toe.R"] +SCALE = ["upper_arm.L", "upper_arm.R", "forearm.L", "forearm.R", "hand.L", "hand.R", "thigh.L", "thigh.R", "shin.L", "shin.R", "foot.L", "foot.R", "head"] + + +class Params: + """layout of theta: (kind, bone, axis) with kind r (rotation vector), t (translation of the pelvis), s (log-scale)""" + def __init__(self, K, scale): + self.items = [("r", K.idx[n], a) for n in ROT if n in K.idx for a in range(3)] + [("t", K.idx["pelvis"], a) for a in range(3)] + if scale: + self.items += [("s", K.idx[n], a) for n in SCALE if n in K.idx for a in (0, 2)] + self.n = len(self.items) + + def apply(self, K, base, theta): + loc, quat, scl = [x.copy() for x in base] + for (k, b, a), v in zip(self.items, theta): + if k == "r": + pass + elif k == "t": + loc[b, a] += v + else: + scl[b, a] *= np.exp(v) + for b in sorted({b for k, b, a in self.items if k == "r"}): + w = np.array([v for (k, bb, a), v in zip(self.items, theta) if k == "r" and bb == b]) + quat[b] = PL.qmul(quat[b] / np.linalg.norm(quat[b]), PL.rotvec_to_quat(w)) + return loc, quat, scl + + +def contour_rows(S, f, M, clip, band, side): + """contour vertices of frame f for pose matrices M: (idx, n2 (n,2), t (n,) target shift in px, J (2,3))""" + S.M[f] = M + m, lab, depth, X, xy, z = L.model_mask(S, f) + smd = signed_dist(m); sdg = signed_dist(S.G[f]) + pc = np.stack([xy[:, 1] - 0.5, xy[:, 0] - 0.5]) + s_m = map_coordinates(smd, pc, order=1, mode="nearest"); s_g = map_coordinates(sdg, pc, order=1, mode="nearest") + ix = np.clip(xy[:, 0].astype(int), 0, S.CW - 1); iy = np.clip(xy[:, 1].astype(int), 0, S.CH - 1) + vis = z <= depth[iy, ix] + 0.03 + if S.hm[f].any(): + vis &= ~binary_dilation(S.hm[f], iterations=2)[iy, ix] + Xn = vertex_normals(X, S.tris) + T = S.Vm @ S.MW[f]; view = np.linalg.inv(T)[:3, :3] @ np.array([0, 0, 1.0]) + nz = np.abs(Xn @ view) / np.linalg.norm(view) + sel = vis & (np.abs(s_m) < band) & (nz < side) & (np.abs(s_g) < 6) + if not sel.any(): + return None + idx = np.nonzero(sel)[0] + gy, gx = np.gradient(smd) + ny = map_coordinates(gy, pc[:, idx], order=1, mode="nearest"); nx = map_coordinates(gx, pc[:, idx], order=1, mode="nearest") + nn = np.hypot(nx, ny); good = nn > 1e-6 + idx, nx, ny, nn = idx[good], nx[good], ny[good], nn[good] + n2 = np.stack([nx, ny], 1) / nn[:, None] + Pt = (S.Pm @ S.Vm @ S.MW[f])[:2, :3] + J = np.stack([Pt[0] * 0.5 * S.CW, -Pt[1] * 0.5 * S.CH]) + t = -np.clip(s_g[idx] - s_m[idx], -clip, clip) + return idx, n2, t, J + + +def fit_pose(S, K, P, p, frames, theta0, args, hold_frames=()): + base = (K.loc[p], K.quat[p], K.scl[p]) + theta = theta0.copy(); R4 = np.c_[S.rest, np.ones(S.N)] + reg = np.array([args.lam_rot if k == "r" else args.lam_t if k == "t" else args.lam_s for k, b, a in P.items]) + cap = np.array([args.max_rot if k == "r" else args.max_t if k == "t" else args.max_s for k, b, a in P.items]) + M0 = {f: S.M[f].copy() for f in frames} + eps = 1e-4 + def skin(th): + return K.skin(*P.apply(K, base, th)) + for it in range(args.iters): + Mc = skin(theta) + Mp = [skin(theta + eps * np.eye(P.n)[j]) for j in range(P.n)] # finite-difference pose matrices + H = np.zeros((P.n, P.n)); g = np.zeros(P.n); used = 0 + for f in frames: + r = contour_rows(S, f, Mc, args.clip, args.band, args.side) + if r is None: + continue + idx, n2, t, Jc = r + Rv = R4[idx]; wi = S.wi[idx]; ww = S.ww[idx] # (n,K) + X0 = (np.einsum("nkij,nj->nki", Mc[wi], Rv)[..., :3] * ww[..., None]).sum(1) + A = np.zeros((len(idx), P.n)) + for j in range(P.n): + Xj = (np.einsum("nkij,nj->nki", Mp[j][wi], Rv)[..., :3] * ww[..., None]).sum(1) + dX = (Xj - X0) / eps # (n,3) body-local displacement per unit parameter + A[:, j] = np.einsum("nc,cd,nd->n", n2, Jc, dX) + H += A.T @ A; g += A.T @ t; used += len(idx) + if used == 0: + break + step = np.linalg.solve(H + np.diag(reg) + 1e-9 * np.eye(P.n), g - reg * theta) + theta = np.clip(theta + args.damp * step, -cap, cap) + for f in frames: + S.M[f] = M0[f] + return theta + + +def score_poses(S, K, P, thetas, poses, frames_of, mask=None): + """mean IoU over frames of the given poses with thetas applied""" + ious = [] + for p in poses: + base = (K.loc[p], K.quat[p], K.scl[p]); M = K.skin(*P.apply(K, base, thetas[p])) + for f in frames_of[p]: + old = S.M[f].copy(); S.M[f] = M + m = L.model_mask(S, f)[0]; g = S.G[f]; S.M[f] = old + ious.append((m & g).sum() / max((m | g).sum(), 1)) + return float(np.mean(ious)) + + +def main(): + ap = argparse.ArgumentParser(); ap.add_argument("pose"); ap.add_argument("fk"); ap.add_argument("--out"); ap.add_argument("--iters", type=int, default=4) + ap.add_argument("--lam-rot", type=float, default=3000.0); ap.add_argument("--lam-t", type=float, default=3e6); ap.add_argument("--lam-s", type=float, default=3e4) + ap.add_argument("--max-rot", type=float, default=0.12); ap.add_argument("--max-t", type=float, default=0.03); ap.add_argument("--max-s", type=float, default=0.1) + ap.add_argument("--scale", action="store_true"); ap.add_argument("--damp", type=float, default=0.7); ap.add_argument("--clip", type=float, default=2.0) + ap.add_argument("--band", type=float, default=1.0); ap.add_argument("--side", type=float, default=0.6); ap.add_argument("--holdout-dir", type=int, default=-1) + ap.add_argument("--bones", type=str, default="", help="comma list: restrict the fitted rotation bones (pelvis loc stays unless --no-loc)"); ap.add_argument("--no-loc", action="store_true") + ap.add_argument("--poses", type=str, default="", help="subset lo:hi[:step] of pose indices") + a = ap.parse_args() + S = L.Scene(a.pose); K = PL.FK(a.fk) + if a.bones: + ROT[:] = [n for n in a.bones.split(",") if n in K.idx] + P = Params(K, a.scale) + if a.no_loc: + P.items = [it for it in P.items if it[0] != "t"]; P.n = len(P.items) + assert K.bones == S.bones + frames_of = {} + for f, (act, d, i) in enumerate(S.key): + if S.ok[f]: + frames_of.setdefault(K.pose_index[(int(act), int(i))], []).append(f) + poses = sorted(frames_of) + if a.poses: + lo, hi, st = ([int(x) for x in a.poses.split(":")] + [1])[:3]; poses = [p for p in poses if lo <= p < hi and (p - lo) % st == 0] + thetas = {p: np.zeros(P.n) for p in range(len(K.key))} + fit_frames = {p: [f for f in frames_of[p] if S.key[f][1] != a.holdout_dir] for p in poses} + hold_frames = {p: [f for f in frames_of[p] if S.key[f][1] == a.holdout_dir] for p in poses} + print("params per pose:", P.n, " poses:", len(poses), flush=True) + t0 = time.time() + sc0_fit = score_poses(S, K, P, thetas, poses, fit_frames); sc0_hold = score_poses(S, K, P, thetas, poses, hold_frames) if a.holdout_dir >= 0 else float("nan") + print("start: fit-dirs IoU %.4f hold-out dir IoU %.4f" % (sc0_fit, sc0_hold), flush=True) + for n, p in enumerate(poses): + thetas[p] = fit_pose(S, K, P, p, fit_frames[p], thetas[p], a) + if n % 20 == 19: + print(" pose %d/%d %.0fs" % (n + 1, len(poses), time.time() - t0), flush=True) + sc1_fit = score_poses(S, K, P, thetas, poses, fit_frames); sc1_hold = score_poses(S, K, P, thetas, poses, hold_frames) if a.holdout_dir >= 0 else float("nan") + allf = {p: frames_of[p] for p in poses} + print("end: fit-dirs IoU %.4f hold-out dir IoU %.4f all %.4f -> %.4f" % (sc1_fit, sc1_hold, score_poses(S, K, P, {p: np.zeros(P.n) for p in thetas}, poses, allf), score_poses(S, K, P, thetas, poses, allf)), flush=True) + rot = np.array([[np.linalg.norm(thetas[p][3 * i:3 * i + 3]) for i in range(len([1 for k, b, aa in P.items if k == "r"]) // 3)] for p in poses]) + print("mean |rot| deg per bone:", dict(zip(ROT, np.degrees(rot.mean(0)).round(2)))) + if a.out: + loc = np.zeros_like(K.loc); quat = np.zeros_like(K.quat); scl = np.zeros_like(K.scl) + for p in range(len(K.key)): + loc[p], quat[p], scl[p] = P.apply(K, (K.loc[p], K.quat[p], K.scl[p]), thetas[p]) + np.savez_compressed(a.out, loc=loc, quat=quat, scl=scl, key=K.key, theta=np.array([thetas[p] for p in range(len(K.key))]), bones=np.array(K.bones)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_pose_fk_export.py b/third_party/UO_Model3D_v13/pipeline/body_pose_fk_export.py new file mode 100644 index 0000000..874788f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_pose_fk_export.py @@ -0,0 +1,45 @@ +"""Export forward-kinematics data of the 210 UO poses (one per action/frame; the 5 directions share the pose), for offline pose fitting. + + python body_pose_fk_export.py ../model/UO_Body_0x190.blend OUT.npz + +Writes: bones (names, same order as body_pose_export.py), parent (B,) index (-1 = root), Lrest (B,4,4) rest matrix of the bone relative to its +parent (armature space for the root), Arest (B,4,4) armature-space rest matrix (bone.matrix_local), key (P,2) = (action, frame), loc (P,B,3), quat (P,B,4) +(w,x,y,z), scl (P,B,3) = local pose basis of every bone at frame 1+3*frame, P (P,B,4,4) armature-space pose matrix (Blender's pose_bone.matrix). +noscale (B,) bool = inherit_scale NONE (the parent's scale is not inherited; the offset still is). +Pose bone matrix = P[parent] @ Lrest @ T(loc) R(quat) S(scl) (checked against P by body_pose_lib.py). +""" +import sys, os +import numpy as np +import bpy + +STEP = 3 + + +def main(): + blend, out = os.path.abspath(sys.argv[1]), os.path.abspath(sys.argv[2]) + bpy.ops.wm.open_mainfile(filepath=blend) + rig, body = bpy.data.objects["UO_Rig"], bpy.data.objects["UO_Body"] + names = [g.name for g in body.vertex_groups] + idx = {n: i for i, n in enumerate(names)} + parent = np.array([idx[rig.data.bones[n].parent.name] if rig.data.bones[n].parent else -1 for n in names]) + assert all(p >= 0 or n == "pelvis" for p, n in zip(parent, names)), "a skinned bone has a parent outside the vertex groups" + Arest = np.array([np.array(rig.data.bones[n].matrix_local) for n in names]) + Lrest = np.array([Arest[i] if parent[i] < 0 else np.linalg.inv(Arest[parent[i]]) @ Arest[i] for i in range(len(names))]) + rig.data.pose_position = "POSE" + sc = bpy.context.scene + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + noscale = np.array([rig.data.bones[n].inherit_scale == "NONE" for n in names]) + keys, loc, quat, scl, P = [], [], [], [], [] + for act in acts: + rig.animation_data.action = act + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + i * STEP); bpy.context.view_layer.update() + keys.append((int(act["uo_action"]), i)) + loc.append([list(rig.pose.bones[n].location) for n in names]); quat.append([list(rig.pose.bones[n].rotation_quaternion) for n in names]) + scl.append([list(rig.pose.bones[n].scale) for n in names]); P.append([np.array(rig.pose.bones[n].matrix) for n in names]) + np.savez_compressed(out, bones=np.array(names), parent=parent, noscale=noscale, Lrest=Lrest, Arest=Arest, key=np.array(keys), loc=np.array(loc), quat=np.array(quat), scl=np.array(scl), P=np.array(P)) + print("poses", len(keys), "bones", len(names)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_pose_lib.py b/third_party/UO_Model3D_v13/pipeline/body_pose_lib.py new file mode 100644 index 0000000..19300c4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_pose_lib.py @@ -0,0 +1,78 @@ +"""Offline forward kinematics of the 210 UO poses (numpy only), from the data of body_pose_fk_export.py. + + K = FK("fk.npz"); loc, quat, scl = K.params(p) # local pose basis of pose p, all bones + M = K.skin(loc, quat, scl) # (B,4,4) skinning matrices pose @ rest^-1, same as pose.npz `M` + +Pose bone matrix = P[parent] @ Lrest @ T(loc) R(quat) S(scl); skinning matrix = P @ inv(Arest). +""" +import numpy as np + + +def quat_to_mat(q): + q = q / np.linalg.norm(q, axis=-1, keepdims=True) + w, x, y, z = q[..., 0], q[..., 1], q[..., 2], q[..., 3] + R = np.empty(q.shape[:-1] + (3, 3)) + R[..., 0, 0] = 1 - 2 * (y * y + z * z); R[..., 0, 1] = 2 * (x * y - z * w); R[..., 0, 2] = 2 * (x * z + y * w) + R[..., 1, 0] = 2 * (x * y + z * w); R[..., 1, 1] = 1 - 2 * (x * x + z * z); R[..., 1, 2] = 2 * (y * z - x * w) + R[..., 2, 0] = 2 * (x * z - y * w); R[..., 2, 1] = 2 * (y * z + x * w); R[..., 2, 2] = 1 - 2 * (x * x + y * y) + return R + + +def qmul(a, b): + w1, x1, y1, z1 = a[..., 0], a[..., 1], a[..., 2], a[..., 3] + w2, x2, y2, z2 = b[..., 0], b[..., 1], b[..., 2], b[..., 3] + return np.stack([w1 * w2 - x1 * x2 - y1 * y2 - z1 * z2, w1 * x2 + x1 * w2 + y1 * z2 - z1 * y2, + w1 * y2 - x1 * z2 + y1 * w2 + z1 * x2, w1 * z2 + x1 * y2 - y1 * x2 + z1 * w2], -1) + + +def rotvec_to_quat(v): + a = np.linalg.norm(v, axis=-1, keepdims=True); s = np.where(a > 1e-12, np.sin(a / 2) / np.maximum(a, 1e-12), 0.5) + return np.concatenate([np.cos(a / 2), v * s], -1) + + +class FK: + def __init__(self, npz): + d = np.load(npz) + self.bones = [str(b) for b in d["bones"]]; self.parent = d["parent"]; self.Lrest = d["Lrest"]; self.Arest = d["Arest"] + self.noscale = d["noscale"] if "noscale" in d.files else np.zeros(len(self.bones), bool) + self.Ainv = np.linalg.inv(self.Arest); self.key = d["key"]; self.loc, self.quat, self.scl, self.P = d["loc"], d["quat"], d["scl"], d["P"] + self.B = len(self.bones); self.idx = {n: i for i, n in enumerate(self.bones)} + # subtree[b] = bool mask of the bones below (and including) b; order: parents precede children? + self.order = self._order() + self.sub = np.zeros((self.B, self.B), bool) + for b in range(self.B): + k = b + while k >= 0: + self.sub[k, b] = True; k = self.parent[k] + self.pose_index = {(int(a), int(i)): p for p, (a, i) in enumerate(self.key)} + + def _order(self): + o, seen = [], set() + def visit(b): + if b in seen: return + if self.parent[b] >= 0: visit(self.parent[b]) + seen.add(b); o.append(b) + for b in range(len(self.parent)): visit(b) + return o + + def basis(self, loc, quat, scl): + Bm = np.zeros((self.B, 4, 4)); Bm[:, 3, 3] = 1 + Bm[:, :3, :3] = quat_to_mat(quat) * scl[:, None, :] # R S + Bm[:, :3, 3] = loc + return Bm + + def pose(self, loc, quat, scl): + Bm = self.basis(loc, quat, scl); P = np.zeros((self.B, 4, 4)) + for b in self.order: + L = self.Lrest[b] @ Bm[b] + if self.parent[b] < 0: + P[b] = L + elif self.noscale[b]: # inherit_scale NONE: rotation/scale part from the parent with its scale removed, position as usual + Pp = P[self.parent[b]]; Rn = Pp[:3, :3] / np.linalg.norm(Pp[:3, :3], axis=0, keepdims=True) + P[b] = Pp @ L; P[b][:3, :3] = Rn @ L[:3, :3] + else: + P[b] = P[self.parent[b]] @ L + return P + + def skin(self, loc, quat, scl): + return self.pose(loc, quat, scl) @ self.Ainv diff --git a/third_party/UO_Model3D_v13/pipeline/body_shape_apply.py b/third_party/UO_Model3D_v13/pipeline/body_shape_apply.py new file mode 100644 index 0000000..d05918e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_shape_apply.py @@ -0,0 +1,23 @@ +"""Apply a rest-shape displacement D (body_shape_fit.py output, key "D" (N,3) metres) to the body mesh of a .blend and save it. + + python body_shape_apply.py ../model/UO_Body_0x190.blend D.npz OUT.blend [--scale 1.0] + +D is added to the vertex coordinates of the rest mesh `UO_Body` (no shape keys, so skinning, UVs, weights and materials stay as they are). +Refuses to run when the mesh already differs from the one D was fitted on (vertex count) or has shape keys. +""" +import sys +import numpy as np +import bpy + +blend, dnpz, out = sys.argv[1], sys.argv[2], sys.argv[3] +scale = float(sys.argv[sys.argv.index("--scale") + 1]) if "--scale" in sys.argv else 1.0 +bpy.ops.wm.open_mainfile(filepath=blend) +body = bpy.data.objects["UO_Body"]; me = body.data +D = np.load(dnpz)["D"] +assert len(me.vertices) == len(D), "vertex count differs" +assert me.shape_keys is None, "body has shape keys" +co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co) +co = co.reshape(-1, 3) + scale * D.astype(np.float32) +me.vertices.foreach_set("co", co.ravel()); me.update() +bpy.ops.wm.save_as_mainfile(filepath=out) +print("saved", out, "mean |D| %.4f m, max %.4f m" % (np.linalg.norm(D, axis=1).mean() * scale, np.linalg.norm(D, axis=1).max() * scale)) diff --git a/third_party/UO_Model3D_v13/pipeline/body_shape_delta.npz b/third_party/UO_Model3D_v13/pipeline/body_shape_delta.npz new file mode 100644 index 0000000000000000000000000000000000000000..9fc7b72996bf81b7dc1b0d93a85ad3bf2eded918 GIT binary patch literal 307675 zcmV(!K;^$sO9KQg000080000X04~B?E&u=j|NsC0{{;XP07NcsaCrd$5CGuj1ONa4 z003LD1ONa4005kq_dnJD`^Rb6A}J#ynGr(STnHIu?|lxAz0NTYhjWe{vSmbxh@@n- zpH@jmG>n8owzNp~j?el23tzu^o!9O8dcCgeaXlXQE8ooaf`ubJT_jzsq?b3r6ECTL zOi~l4DtYplBrXIWj>iPMhv2=u|L?jXCXnDwyH4=MgnHBdmr_ttQayF@n9_-p$4JNi zUw*!DyS5?rKtMKQ?jjW+WQC)4inWK>=>8#BDKcDl8}Q zxRwh?qW_pJC*mly^WXI`w6swmQ`7$XzvGcez%|5EP?7@vy1t3##)&Ygn^v;CKN2bU zvli5FQlWCL-nMy}3al5srv$Yl(POb+hb_k`;CV<|Um3pdW|_9Vj3U|qL`-w~+kUh~L(+V?aN&Y3} zqL6)!qe(0y6|T>oUx|pKg2!LJ{GO*#NcEDqp!x^}Y!082=9)=_a~>bXvuSlcdRkoB z?K~9(gT{|=Z_u9W-N^QKG76Qd*Z;R9NCm$3*3)#lR1oS%8ac0`k=A^}Suu7hc&#V; zRjnn$>7q3z`4^GMPVo09H!CWb|99%W&;%8>oGurdL`S1Uk%HsN`c%j)-)Ao+N`*Zq zeXm5@$DpMP)h8=Vsc@|zKznl~5mcTVG>4i*p?+hzf&h0aVAGFAv5r%r_mRJG^I$Z} zD^xw}6-EU_x**>#PKAt@cMkGjj6r*{k+@niY*w>0;1CtHe)yGZjotk0&Y6bZfNwbf%Gkh}6Pg z^!80sLG3>QX^CB$Zf^@zp4B8GGeTpA*=H*3tz=`2@<@b)ySE(4&tj0|kJTI3?@?ji z<_N1<3KbsyI?zEMM?|;$ihlm2)$3f51Yu#G0xfm;3pe|Si1M>O@*?f~&u>$Y{F|jh z4DRDPzK4iDWfi|`r@jBJJKLIXzf$0+#6r>zB^J$)9e*F_qk@FsEqVGV3ShNomAY=l zBAbq6#a}>~UJF~&$8;8=pjyC_! zr_JrjFJ?m(RG=E(ijAU+Lv;;ZPoi?Ep!E`8!y-k2njGoA)glrqZRwm!SEa(>q1)~` zk0~IUoHNmBO+xMur`Q%us30#WP4MXy-ia`!^#)0lu4-t6#^+kfyjw?-3J+k{&SJa4w_()B3;O8eS@#6t^b@>P8`} zDoKo+D+LS-r8j_gFr4dWGWY)S^io!-CNPKHBi`&2Kg5z%+`YR5)- z3a~b>UqYN@cp>#$tErcWuB|K|OhIJ$#r&E}JS74A_KttcT_mD6ub;(J(#h~fWkaL6 zgbZ{yO^+Ka5RveP@;0wN&2Qg)5-bc%fGIzVxzxc}WHMQ)#!jmPbJpx0W)u&5|6rms zS7VWVgDQ4^AsNbpdUHHl$uP!Z-)4J07U`{j3oCJ>fc>RWEm6J%I9c=1Pi`;{Rpzeg zRQ)D{R0v1mRi1cYynE~XBR-lwNgmha{Gt>T1&J&~DOsjy?{p zYVhQzN6`GrPHV)~C;{&Cw&W1=Nl0Rk;$Is!nr{f21wr%y0Oql)P&ClzK2Y!$I^_mQEY;M~gJ z3q%yx>r|vONdc{An48xxk-=RS5moz%XdeT*GEAGtw|9(WMlX}$L9GN?V4R4UKgqD~ zrTHeazqPc^5E-U~F0FFs6OsF!ON_$zsSq%&UPYw!Qyzb!lRJxuzP<5x+*qf=+FgSW z4e=C+ILOI=*g6~q{D(Pvfl7u++)7;W23dmQG z4L4XKkR!pByRD53TkhB+^&7OgF_}ChY!r!P@q*5CTogEDjK{XdlVS8J`$e705y(&Z zv8-!;0=O&g(PnH*0M5USW>wZvh}}rL_9Alvs6>;E4MgI>bfCe->p%>W4N>J2Zit5? zA8|ZMZ{nc+1gGJoY#ci9vZwU$R00SdamksFi-oUB0j1j_@yKs;v(3p^5@J@9V@)7K!QqOeLq}s^S?UOX zZy*^x#1t6%kC0(dUF62o$FXoG|4-JZm{_##MfJX18xQ@bMVr2tMT6^PRZS;XJhCI6 zDg9459`4k&(0#6tg6Tu4p|mGrXZDiVn7_kL&8&; zI=9gr_VO8@5uWu$Adigk~bTDQ>`2iY0+2 zQ{>inJ~FswvI;g|C!%@s5$;|Z?}>%Kx$^0J0v!IFA@p{Dh*Y#=Lc6b1fq}92S>n5R zP%b!5N}}m)v?`x?(}D`mMGmSy93?^WyEMMCpK&NfTZ_a;;~A+!x&1XhaUfUpbc(|# z9;IA=m`drO`LNa2Mk+56w8Y+>(9ldkn$_p|qjM>cq;o(+XCxZJzgx_*nF6+CWb4F%{nXVcM^9C&2son&u$JSmY;d z)wcd0jStCB#;c7e5T{INDecCiijSGQ!DR{Xd4SKWwUU;@KbltBlnH1uup=A084tli z)ua#_r}0jB;$or+h*f!cr-79WT)(Dzucy-Xyd~Y&W^obd;S(OKs{}GQ2uNc&IuqdF z!Ku(<&Ishs96rKh8V~L5g9p+N#{&bGbe*+T6xu2H>Ui`U3D{CJ{_zsy;CF4y=i`JJ zWG{NdGG&4URYRwp%4oc||7mB!&DmHaA^oiU>jVXsV!kMUASM87#sIGV1`)aOJwM>C zMgi5--H*jI&g_aix)`<+jnLJdd%byNxPN*vc6-Vj_L=59(K#B4DrGjTCWPXldH#BX zmoW~qrJtB_zYIezyLVP%?k2#$IQt_Q2^^?rSMy-BL(wtUqEuDCihzjjsJpuVNXV53lbL!y7QTf>^dxG9f$o^n_42D^6c?4aO|gxI zODsP8_HX^*<6Z2-XL3~JL{+V4bBKjb^CMYDF%+m$&Eag`3Pq$T^U#=M@qnJ>`2VHx z*oL@1onU(?Qdo0-R}@Qv3o$8yf>{*!vh)3mSr#72mvEI&Psf8%aINw&77BFAB;OhC zh(LFhcEg;96M)#}S4X*#00}FnJT8Uckz&wU=~L@*AbIlQ_svT*|K1raU@D718O5z? zlK10)iSFIK`SY}M?4$?G+yfB5*_D)s<*{&~kk8NBl?-Kh|C%k615nxIthf0R5r`9q zS|`dWFnLS=(=clYO4C}p&K4F2JOSPOTHnd=*7S(`#3%t>zr}UA?a7*EdA@jEYkZt%f=;IcP zEauX4gg=v^g=tR{k|zPS<7niS+cZA>6sIfbMui9oeIBJhUSLp&Uj?BkgeUh-veNt~ zKf#}T|DfJd zIZY?~Q;N>e^7`U{gH_ac0u-+47+6Y2qfB*k4tiSdRQ`8za_wUrucaR*ft=aPgnSkf(jF;$8$|QNIO$(1 zsvU7)(KA=$Ek{CCmCwGZ%u~VMO14P6J`UV27PSO4#G$Gd%U2rOiST-x@wHH4EQ}9r z+aGuli{uOIUl=$f!fN}eqb4q%U@mvB``8r%O5nOYnG_NSr|47UeyV%J#>cgwM7|)T zXXdo=jW%}v2N|fBg#;YHEr2`(zsJNsT-JQe_)#INa@uj9}& z!!Lcinlzsr`p|kTGY%4W{X;Y#kkFJZM|-&_6@13-EbJ4CgKuws#Eu<_NAdfs#^t7{ zV8|?x-TpilIPdtUTD>QsI=|Wo`QStdm}pp8jUs|-h^=A7tvJLOH^awsGZA(g{*?b) z#Do2vd;KFQ4h0@ryvuWz3VB1ao#C<|3C0q@l~Uhd zIuL^n4?b#mSs4voVu_3SNffw{{$2P$kr9fl7>r-yC%}`Y;@hA8B*2l0Lzn$WPotrI z*vhhuFo?V`{YG7c3S;N52HV|tMNc2t=_YlD!|7i3lkaJJq1mpygOzj$GRn3xCbC3> z;XaM_ri%$6F!>;9C5-^)DyP@)*x->fU&5a92f?8Fb+11mG8kouF`TFBheGw9-J8$C z!{Jf=2jB3TKqR?_%T9Wa2OHv{tS>1PSbpS?HEpj7x=AI;@-jgnH-C9gAT6&;1Z{Bq z1IEy1u5wt9Cjh3$J4^J*RG6t-=}~MoLFzt1#m5hX0!Pi`@k6x~U=Rz!{xl~C}{id~+}cSg<&#_2sFe&Bb7 zmw4`bINZKcE!BC`8Ljx-dGJ~>7_uMgk2RzdVfT`MdEIRT5LQtxzP#WIJ=)r)|eGaiqk_lvIlk0hUe&VQ^oioCgQu=%!NJ#Sb*z8!HQ7 z{j7EY;^%wMU;nKLtdEuzS!j9G5yklU!ZSZ$jDD0ETkU{6Yk1yPc@V)@+zF1_c_JL| z&V>aQFZfxKft&sn4VXLfq+|5qsPo=P<2rvBl$tCJk*`r8(qTSFdn63#T+aS|Y2k>( zzb$a*X2w9JlFr|LwM?5I_2`c)(iv-!4%sXabUg!&J&WTLN zIB4SC{G)%Bg!WwetMD;`BuH_re4LxIYf@%7^kv2cz<;izeR0vcQJ zdRq3H3MSO=Qr~!EVa!hR6-RUe3PH6t(nX2T@s2fX!ZikdueozDO2ngiVpElkY!a|z zlNHG?Vxgb)5Pin$cx1c~OE+?t42AjhT4+8Fx;GC7x`o9ez4XE`tvV7!zK`b3ABqQ! zvc-k>wh`#o&X*qF*U`Z8RFwKqpT;{vYZymwGWs@uh;Q;V6FWMrBZa(Nd>t+-M+24M|+h3p}x)S4!!IT7$kpH-yLs!bHi;_0QrM2F+7 zK|%zCas|G56`qV3hy%x-oT0+~aS&GRwLt-di}`o;QqYrAKa8Eul7OBt^~bg$0#Yya z&&+I7(Yl5{quU?}T%BJ^$H+wjABEM+Dv^Zjylg7&HAKPRPr82`=p&#(+WLu&It5WR zN1rr943zU0z7c+E4f37JAFB1-QN{MCpHLwI%+k-dR`l2b_1gIQR+K$b>hUnDoFzb~ zd*6)(VLNaxdfpwuV}tlA3!9!SM?evS`RXkPX9%xpDm|@ki4G@3yZyC@2D!UU$GG>q z!#|@Min6FB8g_a5L})Swl#)5T&T4tWoA0AOhc+-MA$5)aCTkq1-G5oyVT*yAMlCYR zDjoibZa;d_cOeYDqH>ZjK{Sq)mx=F~aEBk-24|F+L(zF}N6)59F_8Oj z<6ym@J+RWNkW;`5eKq~j6crQ(+vZDqXV|Quy7+p8N`W_ed1a0FwjTkqi*I~l+qD7q z4%rzUIt=3Vj(B&*B?3CD)LaL;Y$0yuf!NfEU=&qvdHLn*NRVP@b;)~!g`#DHO8!@l zsO!Vq<^h8^7|uyQ#dZk`ujAq>^9i(*~aioeGB^TtRsSaqdvV6Z=!n{0RDFZC(}s6AvL15j++tb&9 zd^BC<-2c8D?gqtQ560XL)J11{-;_^;;K9>E{;;o;2eeR_=QK3rk@wX7oQat*5XLek zdnVgM*o5I*1~n|2TQG}|qUEnde}&JMo-_P?AEc2I>47SUU&m}X!@&IW22Yc;3oNNK z_E{U*qo@;UO#>5QaMJIFM1Gk&)Q)oHQ>QIZFH!9Jp13e@^87XU!xsZ7%cpEexw@$Q z#XJer!hqYcP&4DL1B6c~U+>fNMD9M8?)su(pmz8J-GNwFh-_7{)WKrWT5-wGH_D+f zQ?O;q^4J~n&bk;S3Av(A=NW`K{6b;HJN=wf0|p%OPjHV&IUrT5sbGgQp>R55E34+X zCm63gV9#B(L^IQ7+y&gBP!cJDV><5u=X5U=&A<0V$`SqFBWdqLmFN9?mEIMqhTqN6 zeeyyA_r9LDtPKH^uHepVju>G7u+M&ircaB!A_2$sV8~R<`5gPi6ILrGg7iPTAyYnu ziVuRpaQw>pL;GNFD5yW#C-u((Nia?5?EM@BKkDR|9=)>yk9Q+WoKJjEc*Jx5K>G-Y z4X)TTt!o2UGj=~lUiCtQ%te~#u@P|kQSU~*vL#$*`8IR<4i?ctm33`A0rK^y&Z#F` z0-3eWpu5HceGPbHmwYlDZsaWrfBI?#o+thdMSsVj(vd*A`MPjWS|5~%PqKpXEZq}> z$Gp(L=+=G20vbnUOXaB*Tf$Xu#{5-Z3^J@=lVO2ykU{}`sz)rrc3bfIv6G%?%!mFp zfi4_=rBu0|Az4Cr&^7W^0uE`P4mhXk6Am@3l4k!XR)7^So95b!K@C?m^E`zJAX?$4 z8@p`{)}2eqt+e;iqFSaK2IFDEc0iF;$rcWLldfdwz#`WdC*5)T@o<~_(jMZPE!clc zD7I7ZM7?4zGYP9<@HwpaQ~n7%2>94CbN9F>8mH3^{{A-%UT7Vkc*tW54Ugn9D?ekA zp5SvQ0Si1dYh^8ac-TOxs1_#jls8%$2;MYS#6z3XdonfE3Z9zZaK9_%iH6b{p555Q zLo{~Rjrh`*#@o|MIu%YRWsJ_(%qbFXTPJOP-nIk9lz{)ZXy2O}wyFBVG!iZ+E?Wp+ zv4!`4g@2?L`6G;JpJY~CBs3Oer*h7^fwp=E3zLL1Qn3GKZY2^8-48y<6mGh~6_&xS z?G`_j!+S34NL4gU=W7)H3UGs3!``fqZ9!;IXR14DB^q49+Be#Hu&{MBW<-j`3zeUK zJc>)Gq4W?ftST?rw&H|7iSX`r?=zza`+Y;v9i>9_XZ!G+jy?0hU@{9j52Agyz68jj<>X ze%~%Sj1Bt{yCkB2R@D)&vGVhpyc}7(#*416PKI1i(h)eHbpAzqGAZ*N&lValH>z+dW2Jphka>#8ydT05sE%V z8|O8Zdjt1O^hKx@%KXfk-_$0$mNo7IPZS$Y4fN(c(b`GUhBspt-)JYwYo#W znmxro@wPQwGV$LnsrE%yho4JI^5WrB9L7{GRtt%1*0vF@#-M-^!!fyEIAEhc;m<$} z1Xj->i}tQy^iNudM{LInJkoVM0|pMl#r*C)d?*sx%=%7->-dA4x7fYq3@hmOQZR1} z^FTFUcgH6}!a-I`;dx!CB~bF;G8d9OPzz4~^6xPMIC!r`g$7svOQ_@D%xE_h?r|kG z>^A{cS#DZRGT1;Si|BWKIJR3|g zX!hUZ(#0t(Jl-Rx^y0;7hz($IuhWS@ss*Y|w&Fq1)W2pZ?W78FPC>7EZbYE8UaDIP zn?DHcOUfvGy!&+O$MYXNdm~Yzf>yKdl93~oU;Xz z9uADKI~a>>HyO=JU;07*c%k@gxD~V(ns}2+-BD%hnag!H1bB8}AztH&1;ohj_MbfB zg4Ti=Zb|(mK;Y9XwLiBkp@WgF!h$xBLkk7(ed`I(%*=e7?wTbm?(8?IXLU!Qq{NCZ zCcpc3kdjdhm+_+GAT!#S1Z0c)?1S?qEU%E2mgh6{trIYb{3E544Luiv zs~t@+h}jQCThXpRI>AmJ)v|$S*&j+P4q;Gd$DEn$G#)DBsUZsE*6?<39wVox2YSi( z@$BSpJnS>6>&}s|fVh(tRv(W$qoCq^;c(G#XxcgbNz~jD9`W-ozesjL0<~{W$kh^H zAdTm+NH8tG2%RGFC9Y`44J*RqLx4b>GrzTWSME`l8-LVSvhF0?YME(Ow)bo$ck}>t<;8CO4sh{+lPpPYd&uYE z|b)cH4G0pv5NZQ5zCuR z;!u|_{3sS;X6!x-w~C^>j$RE%je^D7VYz-l?g^=l8`Od+MZU{U;SuQgrvxI)bzj&z zAQ?lLQ2}$7f#R)3+B_b5!9TZ(gYCaMrmiP7fj{_sa9>~qI%&>utMRQ5_}2xLZCk2C zFYerHVW$YB=hh&pxapZPXzMR=cxt;AK1z~{Ai(F7Y?a1wFqnz z(A*h=@}egGKl8b51=lY#-h8*pYx(8gKmY z+v5pG(%K>fju`=0>h}rDt9TTIlP^*A^MVAHYq13*y0EkI)5>HVkN!rU-ikNI(s=s= z?rfY9#ND(uG~h<5Kgl;}o>} z*xigj7KH*oSRN@)!NQ?qV})q)UiP%CO{P5Do!9-x*=i+%4pro~akvtQL z20Zq*7mi{;WuB_YA)y6)OY`=ul99;WkZ--X!2?Y1YcdK5D8uJh{SMy;BG6cJgy?^< zUa+|J)tXU81GJRaNxmEr=-8Fw=;j`G_}H8+V6j&RQa|)aiOz0vD$s9sUY4sg9AV9`m#=%dfgS0A@tbxHIHKOr zvKC~YRIcu3Wp=xb`GjYE(RcsMYYlM4E%FAzNsS^jy^jc z99s!=1;zHhyZ?!)!MFB8m4_PybS3Gz^wT+Kc;>K>Qa!8+xm^3cS2hq(T`8Np)uIQ8 zuRwmVy(u(rZmKvvB%md-o}+fMBdqcK{%vG$0kyBcJ^QmmKvMUr&2sUMARKCF#(l^N zdc&T6pq`FEXO^}W7VkSjx@zddcz+AXJ&jYBmySde4MO#}+Z?Aal02`IT}wqE8F_ zw{g}9JTpSKL=5!dUY)^!&nN+P315&q#Nq@l{npVy(_zM%*7ze50p(SCu-y3L2tilA zPAt0{gC#S4ndK=0D(!x6nUUxSvh%K&VifcNe<|fVH9s8P0-1B{RA2B3JeI~Zst-9& zKC*6kha>U6@}!|RKJbdW#@f%q6n+jp$nDW2pl>pZ9Mb7HaP{~yiA(T=W=z;ZsCgJ# zzm=z0;fMp`Cxv?dCpJ)1udBULiAU_1e1WA6AFxy=JAA;{f&`yTWJwDiEpELmDNOW% zH%ITa9F24Ymb6EE3r^7PKO|bu+lPa#u!{^ES8*V2{NNIAO&F3Kw5j=J27=Vd(xpouF%CULeTx(oQ7V1!{vP*M-lAq1$QCD^qFy!z=djzolIlu!Iy$K2aG{ch1nb z?9$aUUMhHW=Bu>)q37Pvx8UdbO&Rz^yg$C)FnmbzUs}F8CY=vh`W< zrOX&;`W;VZ4hlms_K9ij1rBmH(ynxY7hGp>zCp!>p=Pg3rFpde3EbS#WlzL`X(07g z?lD@wR2S<{hvMMxy92?W3VdK-_}YErccDl>`$4m&6%HP847&Py*aGEwPk-A-nt#5! zU`G*lfTXJ@vc^>$K;&wNaAGt86`W|j{pP+s$f^B4iD#$j=kllmJ#PeBJa#ZjvCIKN zRu}AgRqR2-9Oj99!Fm|j zF?-OPVI6@kbYYg8gY6)}>#sm@vBp-eLnjt&-)>*LIz&J}#e{!nbJ{|udFU%MdMr%DUu?;*3`aeDX|ICf zY~k#dh~8=K0LVs*uV(M!QS1deA3k;m=$+v+63OxhwZGBME1fj`oW6Z7A8!e)E0i5A z6&%d&oqXAND-`MQHTqoSw+6a1|DHa74vac%UdP^8QNT|9Z@Ff_P z&5U!ax7h$IdpYTsMi|)ovUR=b3PmR$sjXV@nSjN@Vc~#Bv~$duINeqQ(e$2oQ_2w* zAfjnh_IxZ5UdT89wU-Y;9N3O(DWdim|Wd1WCVd<)-A8S z4uwO0j0u-S!w}Xrw)!il5&Sy5Mt809ESMB*4&w}He)ZJes`VHS7QelM^-7sCJ5R1FL=-p^fEi9jAd|4fiAJwa-(wLImgI@B-i`NCg9<97DF z$uAyz0GA9Giy~16B*RTgP;dk?DHA9ywRDHIbTMyjAuIT;kTV@h2uJ-jZGMsMjk-C#C)-=DZlJQ^vhI`X0s2b8h2mx+^Du>X7VmSY)> z6N-ce9$Mm{?HA@&iwF*W`p9(3-9H zhJ@^cTm5B@z)A0^a7Hd1WfU9GDSWnv*Fw{kuJ5oA`tPu4`T`zZA5s1!{@DgZ3)d9> zee;9u9_Al{0eFP%D5nlRwSb$R;u_-!%)dB?1#SM9iXO=0ADF`_qZ`R^CJg!2 zPL;e|^#ai|-B&2?-Y_&E6ZRoG1QpORdo!h2Lw+rL7ymDJxV&)4F?BZ-v3R+yCI7UA zKVft|vA=9Up7it|11}!w`+H*qBpl$w8h_uUxDT)jb8O)>LeaSjk)xAJIC##qHZ^_T z8`d_3=^1=Nku7KIq0(#|yy+uuJ$Q_TfKEGQmy}R+$|T3@?;RZAv>IQy3;4n7Uk$aZ z?E$Dr#bH*E-x8|Wc}N;vI*@WN%z8f+kND4|w&`BSK;Qh{SnE6^_^_`d?OALXit)CS zJWJ;Z=SDf1jzpaX^0wS$OBw-rrd^wAf9C?H{uQ-^A5sJLtoEB_7y=UggLlLQI>Xp^ zyj1UyGWfbTrkQIKP~fYPm$3mJa3N&G_e+XCy#M>{m);;AHHy42=i+t(p*zlAlQ!oe zet~>ARu7L{hp`eybu>N^iHkY1?h18W*-`Vu!N{`k{M{Zq9E|T>IU8H=0DsZ~W6vKC zLI1)<6sNgyaFTS`W}?j;j>WvXeWx@O{rf7VAgSgB_-o$UjV4|oqbuI8KOTfmd;YiZ zF3%bkwHI%sp7H?8v-FPtDTSgx-0!jum)ZhE=m_d`SVIkKN16temJ3B)!fw|cV4$I9 zv6SZPCu3c7gR_H?UeQgbAwe8GJr4fmOkT7-amB{yZZPVW%JRLGfdh#K`YU;v81Spg zN*H7dLFI0r#R{Wwa69ftOV2wWXuYaYr$hEfu*=$AJz@bvvd6mn<8gXitb#Un4aLpNt!oZ&R#;<|~Z3OLQ`xCEEu5y$CIE)-S|xY*m$Hc6Xz zS&JmG$Za3F_yAW{#Ru#8b0;|%9buX^ekNfHtPgh1 z$y!*01indO3y;6=1fa(cdL`Uha8N8N&bY(m33acJ z&Jqg)5&4zl7j7DF6jRbTnL0e6*&{+AY%&lPeKJq%r*TP?V8`tyZy(U}aVfm}))z%& z?QzQVG=u!YGd-Dsx^UF|U&5eN7+OB?!mW2d1{~@0XQF^CcR8+XYfSP#7~}bb(DUbk%t|43QokYNGddhNphmf-C>j z;nteo9)X)-h)(A=5@+*(l1#u_XBk846`?nc0bwYC31i@M$q5ELobF~lHUqw{r5_jf zhoLVf8%dXI9BKQDjYf8b3w*8gQZ(`jKu!NWXsdnV4Z?;Eb;2HwuqfZ)N@NT~pw>lt z|H})uB9??|)UCk5u)k%1Oyv_a)0$%{S zt^ByJd&3*9|GXuvZR-P%BpFx#QgKMpW&GZJjWN6n7~K_3)CKp;45+6v6w!+o9hLdw z0ktQUZ*^uH!*u%lm+g;3kUnN8H1s~R5$rlj`O z3ui%L>JjOHRv3D@kyDh|>d+cuwYM^JRX?Ut>BAPr0>a4oy_2*8i7Su#1*Wc~(|P!u(M4`xdpIP`n=O)3`WUL5y93nSdda!VZSTy36jsB@%eOkA*)(3c_u9jSi3ib zn`?81cV```{5}3?zn-m;hlmYW*=5Qs+_#1GmCLsL6+!6Buk`u7vvyDs5`O5nofkNA z(k=fJ_CgLne?LD{=nePZ-#VB38UtkeQoZb#-e^WQ%I&PRH{jh$Kg{ua0M>n&kT-=x zSe{-%!<$|(5%tFR*@`!$dvg67yXcOdUHtW{v)BTjI~wq)JTrjpvCEQAZ9|aK10DL~ z8XoW_Up$7eU=d`qx~bD`H#Cq)`|03-rxx_Jtzt_$KQL8F!eH-Mvt2Vh+E9 z_s3t54ngDiK>j*fU!o^urnR%J;rx-LN9V$WP|Ae{>Yqm1zF=8AkxO)ec+UO?J zCgbFe=Pnkk?~Hcd```dua~NT1!H##hK|;h65iJgJE$7m5J*L!J`nLwUi{5~Ry@Jw2Ln-v*#jbq_)PC~;}9m29&;+m6L_4*#-6o$K}U&RTI7TqG8TyRb%26)$|~wrQj4JO zZP!%$OyR*jm8}GyU_{#guFQuvFDowJwSr%p!MO_ydvcV6k#^HZH9JLGzdT8|-*1?} zeEsWZA%j#-P3Rx`F7Yc-)8aB}Zu7nT;DMv4`FRHnqF$ z{;0KDyTxk20hCM9uZG@rfvJM(pE_K=$Vjx=hHe!DcX)h^t&;j3Nq0m!MIdhd9X2gC)Yo;dUo14AK}H-^nU(aW;z5zA^jP|DVD zWY2Yn=}}QuTW%csEX#a?KG_Zovg1YRXgS%z^sR@Q>x&%L@0VJ%+QZI`yEmWIctTcU z@Vot=J<)D@N9nI_ERTy@5 zLTmVZ_v(I^1A&N5{8H8Cnlp@OdG{BnTESk2Z=BBr15w`Vb9_Q_ZeWOl1xyI1&GlA&brr9XG9&n7!r*5^N7&H=T0@JMFCL!ek%R z94Z{#Jx9wyQ-&ekb|+BHxcWIW&le4HjMUX%^MGNgFTQTBb|87~V#zy4e^lz0Jc!sm zU`Cc(&u>isbo8`44q5G;Jj5Y_0nS$oO2^K4!ieKt)N%!bNI|lv z-z?MmKHtgfeBBPRW;?g$`TUV4UwIU_lpFLq*SP;Ev;^3Xr{7?@gHZnnKl|FNJp!W z@9N_B0Dol2?_TUu>k2lNbqq4!9YNz}$sXJ=&6n64LeDTc!%iN4>tm%e=nHcyCw=xo z<%tvJa|=!|n{}$Vg4GS;tz8!$EaK3;O9^UQoE{*XiR?|;T_DYHT~DyX2VD!hQWMqZ z4u&6|Qn_9^K+{@$bmDP8v`=Z7BYMXTT3*ZIA2b_7`_>xk01+u4H#I4jrlT%nV|u@yynb{}!)c!Lh4{ zCH0FZ()&^|kr(9w)sluHRjwFF=%~7v^4$yde7*ZB$<+fwf3T4pL_AvdEg5KBrzAE!OLI!&?ch6T}#LE!J`mVqg z*k;T0Rtg=Vf|asm)#{5nHMrDo%(=pkhznXGEe=46UL;Y~{g63flDZk=0v3*b@vnVfyaMQ8#F7 z$|#jG#ejY8ul!yHFO+myBUP)*8Jtd*?4+7|05@I6X53M4^y9FqgaUGg_3_Z?p+GlC zZ+spdZj3{!Z2wg#3Aw;tSYJCv%P9lV=h3TOo`@^Nmh+;eJ6K__R(z1gfQ;xahhV1{ za`DT;7oBhiah~V+uZ&beD23XL&mMK5Kj756>H+2sr zIK!K}V@Ll-fqBPM{eN*>$c!W^ktCTF)mI3el%k^Sk-b;8d#}wM_TGCnP+5^=?ejV3bzbNBx*T6F!1<}Vgh4)6v<=$U-Xm`XuXq!iOZQs9 z^13Hc@(V6_J$urPHO306V%q&|-kF1I%%=IfrNn-G<*zyJX$d1Xj~-02UVyh=X@*LK z4sy53y#xWodqy4S5}HoM?e^U~{Sg;r3Sb|zWik1g=i zBrm=UazxfwetQ?+T7vF<&RWM0Hei2+i~Dto6LzJ)sn1OPWc$iKh79v+zmE0}(I zM(lX9Gj7`WJH_FPB^bN(8+32C2Srw;X0~_-?0;HRT>8}t6#PxS##3!UeCzU+l+8{k zz3fUWVX_9Nkc7aUxi(;wQ(T`rM4an;L>ce026yrBO&L4v;l$}(!E47Hu3RF3wrKK6@wyd&qNs|s;S(W#z<$^%qv_pU}`;J~U5n zjs)(tmvWA7b;g&eCpCDQ8Cc`+ChWt<0FdI87HSqUf}=xow+g?J@T355=yfYcP}BBq z-a2E5-9e9((tJYkj8U|3d$ue5$MjqM;YTgBY1Ga>pBaKQofkDc63$S&IkC_%%mwc9 zXEBpCeNi>+Y&Uv4z$?)Mchc_K!Z&_)rhx$p`b|7J^ywOj;EWhPw|%~_&tj-TPs{^* z4KLLXsXBx4yORDaVk12jj7MV`(qf$pEmL@MUtc z2*iJ9+`4%w zEu=Ud-JN-ha^85utn4T2%!?UV#=qEQ&ys8qWZBqKM{^fJZHcelq-1akk2O!QnqYsAZ4ktFw7`w0u@{gfk`@Q~gEsMa3wv z(e`Yz&~hfh6GE=)xjD#DAM=3w*F_Mmmf4jO=7e@WstStAaY*Hm(iG1mL+izkd#0|| zz{X$w^r3PXwlz2;Dy5Sl%j(~{ModGit<>!^_SyJ_WrzMWw*wUW^7^&P=Ai7i^85q$ z^KmA#BBnPg08YA_bbGmFqrv0*+N0e0ST=b&w$d&D4)5L}|5iR9i^&1qk7~zDzVB=*#AwySGQZ>EA@`5Q5tqNY81^+&wO6tT&mXlv-$6@+;J!HfajrbP zx=SwAjIR(YhuJROQ%Z$PCwIzQ-p|38`#S_}nfj?B@%baF5`fa!$wuA-v$s_Y< z#hFaFPPNV5qmYg3zI<8JR?5ZiF6s@(Tl}EUU|hBNOg7$KiWr|~&cze2IRaSMd_cM9 z7O%j*9Mm_eGwoW)$Ao4Jy6OQkY&~78#oeES;XjWwWG&_6u;jMn4b~($DgQ_5nQ<<9 z@;2HBw-@2Zfq(9qOQB$c<54+R^U&GwF6*AJML1w@P3Ef%2c{y{mNu_kJm>S|S%zN; zHigB{$;lFRre&ZsGeGc8$ABypFc4mBfL?UFyrRGy; zImkW#PKtK72%qX-8o9-q0_!+w8Qk4jNW+Ss@tyZKk)$UjxOsb5xW=7i&?bGP2#;96Ha!KmUO_q@EIQI=d6WW=?0DO!=X5cn zVOZ&mSQ-Wi6+hl#8w}Zr9t*jFo@lf0eAtq320FGj9r;)m4BWCmxX2S`U^qvUbI(df z#ix9s$)dqfe@BMIa81C{=eC`{2eVLH@5G|TMGEY+@u``t)5MMY;@K9rWur)Q?=IE0 zFtF*{Cd;zL6DO2n>gh%~c#~iIwEv?pU@G=9P|dc40nhav=KY!YxTMQcjT8nmf;`_| z2q&T3u^WGM9_M06=Y{B`A3=~c`BDE};X!o$brg#3hp}nR~pOig9j|n<}!I z3THARAI{3V;rA;i+mn5d!?`y? zQa`W+C-C*>PbqYWsbHF9Z;V2>PaG${%a@|tn_W5KTjtl=qY7TIckVM6r)ddNd#_NLjOh@t zm#K5Ta{>y>*mU(pmSW?j6%ElUIt(qRSIv$YLA}a${fAOz_+YJ=`FcPU)alivOnEYp zx~`b%K1&&r8g}e?rxOM96-;lUe>o!T3UajGSB9y{!3TWPqo8tgYx=5T2>w2C*+)L8 z6pufyS*QP#4wc;RE58Z*!!a_;jdIyCw7$KLXWB6efM4kSqDeen6R4Y8{jUtUqBusy z%%b7o=2uCdTWp|IPh4Xb%P>3t(^&J3Xc!;aoc`e`4WlMPK-jPhLk$1y=hBaXoSs7R z&+Ue|-{4zf6S)kTUY|c9Xc-N6_%@bj?GMAzhFR7wEn=?kWpZ&3QlV+P&X=nzWSBDi zCSSSx5~d_sYg%!~z@irH?YbFP0>-KZ`lZP7>gb!QxM}h>$gO|+%`B=K1Tj}P50&M8dKmSxG z0V3bkhrPU#hsmeYO;iO7P!$)xiG4|hEast!?R#?Z+m?YstDE^K`Sr>iYf=W7UiAGs z=1KUNa`Kh44f#ku7Ww#hXcknBfALR!nvVR9UOr|+S!h`NlVa!P0PkyWjBE_xmXzf?R-`!m)n+BhS|6BMqlY=3Ldz5&0E5CuNRoG2k5iuH)K=EIiu2K|J+fE?WJ(`D4T16cAat!^`HLjh3I8 za_v9oA_x1xzwZ|^;W=i9y*QeUd(!Uwki=ZHt{$qr_&x{fDjs)GyW?=KlflDopNZVk zyS#!TTiP4*!h&u8CEPchb`1?%@oSuHE`vuQnSsBUaw&TBpMXo-Vg6 zflPcP$$CpMH5v1%`P#BR`A@*)m<+M|DO7|KK^yP|eaY9vJ8^U~UDnTU0Q&2j1@nK+Mi zC;x1Sg^LR@Z^n#M(4Ix)Z%k4qZaZoa_QfF;RCf<8$=y!HCl2hfN$Qzct*o>2_lZo{ zDNrLdWJZ(>ex}={V=m`S%|gy}kTa}FcsVZyX?xxj-%`!OZFjr} ztBZ^=cJ5aa>G;WV?x-W7c=5WJLlCqPMQ_(og`(XcQ zCJD7zUMo`k_Tt&o9$$yFQGwT9=ID3(W9!ZjNtnLub;roe9$4N! z?lGtbpf0UTKCYgMyGOqY4_^(24^iK|uW>q|)iB3!-ko@4GYe)esPlmHFJk-PVHjxR zz|hTWG5C$QUHm*>B;;;2O!~JL04G%Uox5^92JMEWSlX4spxj)lU|Y8*P9D3gqPrB2 zsUAiPybgZA9kO%lU;9w-zqG#N2+_}^jLgiP(~+Qg{Juc7S|I#0vsH8vjK+0Ejd^^D zkzlZw6f-k#25Mg?Mm*+Hu)AcnhEx{@-<=bxZ>OBVhF<5vGTl_{Uicak(;onF%sM0O zhm5i1Cx=0QR|-n+hr4%W9D&w%?>zm75BB*f-Boc;!cxu$`ifTO_{!quul*E9G%a_& z=5jh2YZQ7KWnL;E+rYob{Fn>Sd`tUnnr;%-=H2=6R8R`P-QgIW{$~Kf`dTkl3}SF% zU*?9NxgnT+z>1yi*#*2E5_h>U$PLd)a0MCuiNP=D#6C-!8i7EWduRoBJeKe~33`qA z;3fIWiBDmB;fA5q%7b$YM}LW%Nso!rFsy|AMBYYw<*XPzFkD zPugxq@kOKWb*}qdqLAj_B1lQdKxX^9D)(#rF)_U*I{Hs2*7d8GxXxzaB-L!QS!V!R zIjW8>4SC}0;ZOc+6`6Q%wvUiUntHmKao0>if?#+>-Ht5;x&g;7en^?fug&dGfzhv$_+e! z8`P4DNsZ+(`b2)@p6PskP&oya<>%K9Nu=OYLC<`T0$&(cjO08JK!a`r!^|)J+TcZ7 zcUa262`aW%>h(8SWNH`Ma(# zks0A?bIS(I4BxnommI;PoLqY@NCtyr;6JHL2CA4lmtG%ULBTTN+~;N6NYMUjv2TtP z1e^Ge?MmnmK|#|i6GCe=&^+xwB7B()H#;({-w-*}wMnjEgy6IY8HEoU*}_5gmeGUF zAA)hP;m&_GuW2y2Z)@)?PZ&4`Y>>a}9fEn|V%;ACyw=Jf79S5r*-R{7*D8e-Lb@#9gL=T6F6TKMS?FA zD6ifN0-u{A%w)X~JlLt-Eq;#*8x9q3xV7jHd>ywInXg9TcXiVFMl~u(jQ{W|e~QLiMKgR@KRv@S8D^)kOx43D>anQWE-GU#IvjM4{O0;kMt& z{_yrVKLBk?2@E6PH_n^l{-9tMHc zZ@0h7;nBF;g75f+tGU>GqN`cIDFk-i%c1=o48^3s{?!9iA`do}Gj|YqM|$t}y#8ZB zs4po>`nM$u#XmgT&BPG`EH<|t61_5TvDK&Is7)?r+A0m5yhH+4zpMVA|I0w7wkLtC z%%#YGXZzW+QZ&$hdr#?Zcm`4?9)yPdDn+?)X5piqQ7|mpv|4Z^1FHvgwU4iqVpNJJ zlL>nqTu5@MRGdu5ttVF-tZ$a0z@g9d^R0;>`=H*F$JHON1?_hE?`8rHT0hzJxWWYP zbTv>r6lrL4_UXlYXHwAWWc=Oa#|D^sGh9+~^bE*fG--R8kd2#-ShottdSTq`)c36` zk@(+V_vektiTFe_uAO7m3q1<+pJkkg$AXt$2^GZ&*x9xGk@;{0I{Cc)H-9x2`TJ_m zYI7%IE&uW6aw;9g@5nss@MfUu`QF#dO$k_Zw$6pmUMwn#Vnq0rsUb*7{7SiSLI&`1CS`B+7@6t~*}C1td3sdmWLIT$42v1EVyI`k4dyz0}JVyLl6+hh-iw19(pMDey!jA&XhEeb0 zvEpXix_XTmyjDLfq9sH{+S-{@suHp2l)=xz_MCy{=?CpschOOH7kT7H935R5g~Q`} z=omve$T`26j(U0PF3&K+@qVWqpPCR2e=C{QPF|zogS(wfERJWPz|Wkq^JfyWRPHd# zT8TiB1IxqjE>ci;als@x40=_Z?pUt&#T{e! zxE?qp;KHD6k+L-%>(*^d_nQwy{0a9OQxnnnvVxu=EgY}L?H4zw561`7E&T4;@rVzE zwhK)J;_K))aufLxSl*rgHnlJsJvJLjwbznxUt;Cj^SB7?9dk9=bm#((iArn@+7N-E z9lr*}*Mjj_PKkD}pC5An>gsLsO~#y6{?7OQX5jbJcO#z)1AAizzjwRG;HG*z6YD2N z*rmVD^-Dr5erwgAJ(oqrV}s}Aj(0m_z_DS@oEPyJ;#%Y}kW0pBrB&}Y6mRtZ{QTjx zV>~`L5jzp-a1q(;^}9wxeev_zV~18C5C&#;_rV??F zp?YviydAvQm->NwYY@KP9~rcRGY)?zr~Wy4OA`W5s+BidMB)ui?uLQw41CR068f9q zc9Rt`9r1yo zPIdL{rXU!#*8MRT>y2Aaja9uq;R2&Gn+3{)9ig}Th=fc?QoR4Gfrp1jTNEt`FJbe`*66eQ6}~`#~JoN8IqU3VU1SVetdI8?lJ1QJjcvVf`2|= zYOB|IqQ!>%RA2TW_)@m6o+~2)!uHQa)*TH&r~8VwPu#-6NO`gQg?9+(9eA~F{TK{u*_n|zP{5O)-e^DWn0AH`B48P z?gN3qY(6S*RU!@rLscipIMJb4xN#`^&$vOMg0da?@LED*_VMw?*~Hj zwz=;tml^2%RjOXXD;>YqHdn-4B12%ut!maoiKyq|%dSt{BPxBX=gNXVQ0w#h?M7me z-IhbuT#2}U!pizet{F_HOlP|oq@vNlUz3B)8Tf}?=S@klGyL^SnVG4}K+yx`{(n<4 z(dCZJfAaGefh*a{`ubcZUX1I= z{s1GA7IS;DQ0R+>>-BS4NOHTGFeKyylw_IO^wL<2jCIMp(36IRr6$&5kF7CeuM=5t zJO-yed?Bg-PQXov`jwyV48-~6d&YCWqfkAE)_aB;kBv@dku7`uurnoG;E6X4?T(-R zl#&{cWwBSpjoY2@-|7i=%e4?(__3vhe`_K>FySiNap*sAxez{TYvF+F3;#AV-Auu= z9}0W=1AL(3(Q936V<%t^vUU3snSz5;5)z-h0-;9p^Pd&_AYk48?c)9u;TX)860t6T z;LGJic5*BQG~AxrcRrz^>8`TPA=>_MTaq%m1Wll5oriX&;WL!S~sR$H&+a%2+8wT5~lLFScSfc;s zTFJ-zeQ+z&O>6oSGWw1F3;B|mh}QLerb_B5KoM73?_X|+>_6O+;YTL^43ue>(>K8| z`m2Xq(H^g+ZT-gop+7p{HBAxKkh$a8w$Y7mtXD6c=fdX`~eP! z0P$@6{6zn}qrDf7UDlbfIphG_#pto7nm%Y#x$1viJsjhVY+Bj8bU{qmEd8f`5HdfM z7Ruidg+u?sp(QE+zg1V~YmNt@cDA%tmeX9?&PM=SmyL1eFh9oJm*CQ}BmgD=|XI>cQ zE|#+@pN5B3wqA&Ep~0V~m4S3eH(X=&+*{<7jzM+hIjrZ%V0m+MOtGvVUimnBXMIKr zzL9up_!HuwTcM{XrzH!oKll(T^DG~4tG?9q)uq7hl+{e7?hKULWo9WBl#e5uLJg!1 z0>NRvY>_EH8)x_vCrbAgq3-m_#eIKpHwdr3gLCjfc#Kd~CiON$@uBrB>$bMN}&Y zPN;PVMnM~An_pgrxN2|G6L>8P^&U4(&x-jWtuZ<1U$G(Dx{h+s@TQ>ez`E;||1pr; zSWgg@DCnqEZFKx}2GYtEmST%2V9{|sT~dXPt=4(DS29vj_rL3>H=R#~RPnxFpG;}^ zMJe{x^c!P5s~+*OzS|#9$YqKh*i1!JaZ}M84Kg-8dGf)_I07GCk6uvM^FyxgeWc#~ zQFw5AgkvF(hTiUyyJBi67$tJ~BwI%SK41?&*TzFZ(+yt~$paT4*jD*j;5izO7TKPt zsG#8uExjm#!=YGP%kc*&b?jEkr)r1Vdv77mwDoF`QTY$hq@F2x_?9fTEjpIJ_7_ zdYwYTaVaUM04^Gse;ksVCDCE;=AxyY9VDDET~JwmPlY7)?>sC&>G0B_Fw65i3A1b8 z7oC!!!2$iCcFIu(9NeHzZgnT&nR7f6QAcQCAzH&cO<}+*C11zuS4sGL=ya9faT-|q z{L0M8WPt5W{khM4WV|)#ThVud1{!j7o40uks7j#RGzur<0^98&hf_3Q$-5n@7RrFp z7^w@(tQ6c^;jWT z2H__aqPaZj@HH^_@^9u~Y`O4|!ktZnc!MbSPXcuK;&zg2M`tju{c2F-386v2lIeqq zyEN$eBzQ4Og~;#kj>uY=(x4xe{`uI_;DI1pX01mE-gq(;S|CpY98oh{#OXPa<(C&!_DwOM|adolNVSa}R7mpGdowMI& zY`RSaC82ePe2QqGu;bd+mUc4AJd6prpFxHE_czZw9V6b$d6&jXLkcb%L}=KCQz7$t zpPEkx6%N&jxKG#w;$LY%i}tXMxvq{2q7 z`UYXWAhhq?QgE3{1=-M%n#fctY})(mjALgILX6Dz(i|$JvT6*pEK}h>v09JyV-)l| z<(=0}q5^fOH|g7Y24p=+o9#J3=;~%w?Wv74ID6`;{?QwBXccD_3MnDsOH*}Sn~zjb zZTxI*XU2dcC0U;NjU)`$rjjr3p+ViHcDckH2FUA%_pHc}uxcB}pMnE4Xr>>kW2t9= zx!3AN^~)r5tXkpb`;X}3hW#&H8yQe}fweDFg5dn5<^dk!d8wdBT{f2)aO&xvi{;nJ z=zZTux`jBG*_V;-8P9KH!a&ER>mI0F`nzZZZ0#R_1`bmdMgIww2<4Lo0 zFqPY*JJuD5y80IywxrSENeRz}ibOgHpM{J^0YT`Ihld^(67N$ftwGsA2d^pPUd~Oy zD4<-}z#LBlt!}H%`9T_R3G}O2Q;1x2AUdnsiUy&Kw=W(?(V%ss*6-f5U~H-nw>Tw7 zgOsMBOg1H=9+j3Tb1@iWtQFNne^DW}s3u%>f#~PI9e<4cf^ayL&qoNU@L_J>zBn^F zc(85~dN)MEXP;9(a}av#9`o6Ge;pmp8IzyKYmrg9-J|_q85Od#KWlMbqrvSP$Lg)$ zlacA!_jMzL4u9=Dve-=YO>|I{^kkBP--M}JWzkd+HT8a0^p6V6on{p(27$Oce*fc$ zI4YcSSd3Vkrot0`q0lRhfe4MCm-;fPATtxZuz!>aK7lX12X_Qv)yj?F+Z9yUch$Oj zyA2ISvinpA9VnPo)*De3Pv|wKb%TU80|K^=UFmxifPBG+q%LyMz-D7Cy^Zj(!Iguu zf7D4hJv=wn`j!e?`Hv14v@qZ^E0f~2iU4%8^fVLar@@zx2e&LgV?bT|!&%)=0a*E~ zq`qhu4YJ%?XC4eNp#E2wn@1c8AKof-GTBapTGMQceXR^Qb4dIB#C|gB+AnhIZ>GVy z8Q($aTn4z$N%U!Tknu#w)(mC=8sYnuOfGZ=I4ZattrMYOjd@+7s5lM6Dh}IhCf@%= zj?CFc;=AmxZ_iOwqk)x|4q3s00b)mFSUlq>I8=NqT|=J+j)qo$c|;i?y-jGIe?OtO zTV>>Ne;N#k$+3#|(cxWGeNgh%Kumq1q#{G;?QQm{Lwq@OcwhT~!{uincB)vK+$DTO z^~4b0IbAw98!7dMs|4ZD>+CZx2)#KZa{fInL5ILOrDR`v5OOcMxX+o;z`aUFc2^fM zmnz57w2Ojp!BL$5C$Se)MOvrr5@@iLxAx4?Gzeq#sNbj8)8Hz{u}7}jG%youR#K`D z#M>$1b8ns!Iyu<0=UgEjNO8&S3#}x)Aji6Sq=^b?9e!r2I&@HCOVjS)Amf0FjL638rA-u>4{@;Y;h4FBrYG zph35lD#Lx8g6uWsJI)qRA;sfNiLM3>E?FoDY*7wGjd!K@4qPGLNAA`A21TN8iCd5K zMiKRVke8BHPlY8l#)AzlG_ZfjCYHrPL6_6T9C3M6=ugbu@w^ljf;92pR4*U{7eAOLghO5dLzB|);Gc($2E8j(xF;^C z$-5~E_-wh|1TO{P;ct&+9{ePHwk;yJZh--NmKvWVT_7QE&jteoXksbX=SEhOm;sV!oA3U#ViBy?Z=$9K$iq(GEa*;S=V@Qir( z5k_YW4K$_xgg;jeL=L?h_U%1XsAl^+XE;NLyVm)_ufj%?~v0Bz)L% zH&^4%MH06DF3eS|r9za&t291MIy^}baA2|^qlFq=ks|_-a$A~}D6t8-}c|wJ{MdrDRd#65|?x7V0<4YD#C#?c7NjZ9h8^H&ZmYvJ9f>H3QlSdv@h&o8^W#%O~ zL~kZjrt3BXa`n=>thSJ`)9+0(=PfGSIv)SH&w~LIk#|(CSCH{TvUc4_7Zr4tvK!k7 zKJ2Mq>YZVxU{hxDh2UAj|L?8;@>PNX8uyOvHYa$TXSPDEj?kgX9oHkdd<-c3Jb8ta zMnU!RXKuzK#Q91JwOLQgl)42DjPbVFGPd*U1Ozi7@zpK{oAofRP&!O*r zr|D2CF@IB+Kaj{@T%D-|uj-686(udvz$NRtnFQghq8=jI{i1}=vy6Rcc}0T@|8^;F z7Z1d>HIYs0nP?z4Y_9mHiSWa(tu58_6yz<9-*e_A6&|%RE2&8_V9R!yEq6|k@ReVs z(%c;?@adiWeCZJ#Sfk;k{WF4Fln*%VsiT6W$-bp45p?*zebKf5AQ@*G>qv>$34b`U z@S=d14kMb%mBOFMm~Xed^#h^9ovZ<>%+oYz>hAxA$yWuq|BvbHDCllB);%r~fUDeUl`Ge%5b=rKYd67NW)4o-Kgt5I@wns;ZQ}n5 zuTP^+%SJ)xwm`cTvj9BRCeukSqQV}rb!|Hh2;U2xKT0bKz}c}_-@R#6cqzC%SH3d} zHoI(D+^I*x6j?>xI)W3r)V`&r^)TShY6WlF2NDjqrtMlvpu*qBhYNnWFo0W1MYSo9 zj0xnXTN`guL3zpYo46ta?tS<~qW>b}lwvm{kC^vgL;PoU9wBnUySGl++!Um9dYhh} zq5{uoo~SFK!wrvP64ebTc)Cvd^?o)Q2&@m;KSnbk1BWG)8V4_rjw_tDR_B1gH!c14faWg9f~9P_Q%r~ z@7IWP(o&aW4e`7>o%-C-fDUs<#+}?+C@B6mBVC=?`&sc(W-qwuU_gJ6S4H>(TUV}; zFEJN2iEcMFz7zXA#{9NAah_qQ=6U}+6-FwXpPrne0mtO~F5^mq6Y8sD*k4egw(MH&i`36eR;CJkXy(wvQh^$pVdmxR-9rfq8MFxFG~OcoB)oL}C6j%0cwO&N%}el%zWnpEE-*2!dcs7)%}Q~dy+Ksi^@OW?d?a>qr!EIK9L?8QZ?r$0UN{8tbZCdD23fh?1KDzgt3ZtGK zwCI;~kc(G#k29fQWbE)+Z&Z>O`L$W5>1^FFW8=rB{% z+Iot}zZ+wl^3Jo+U~0Vph!8&3Wb1WljZVR?9@&x1RVvIEoolZ-%z$Hh=c1m?lkwiw z*83d8RLB?V{qaGD4nG;k?Q=tjdu&^h-w--njV!JIOZ4$=ziZ43O$t6$+?4p@F%^2p z3_TLF3B5g43i~WeM#ZP9+KLP+AeZM}6@n9VzQmq!en`}F=i178g8x^)?4DxNV1O|x z^7@Nt5`Iu-p1+Yxg@ctt1%K8UFlQrmtmFU*XA9JP&JuNA(rKwsOQ3@p=NFelF=Q+e zw7j&7(A)BZHuw{JDz-28KlXEU;QSZf9=AmJmBWtIHX^48 zmNU*;s?uS9P00xFP72PmCHA~-r^3w2ZQYgzIu!gjxpPjNj6ANqyL*W~-VEm1*M5yb z{GBp)Nr!|XT|ct9h&d|1G}~&#(8}3g9y8`N=hXjZFEh@isS|%aqW8>qU#e`qo_6VxzB{(W!i+V;02^$X>Xr&R~ zJDKRUlUB(f_)b4#nBZHk_h}>R{HWmc_FIh2Sq7}^QJ@1+hZgfM!2^WPd)%<9@;^w- z@AsI<@n$l9Sv{$|Na$^Xw88GsNjiLGx!YFbL_t0ONXhJXRPfd^I2$=g2j#Kk7KObO zO#9{F^Nz?J)niwvO?T+9*O92W( z47f@<|7UcHj4vk5&U+0|fp@||mwc2Cl1)Jk=gcU$;paO2Vj_QS&iZuZ<{9EWyUb`t z;uMr{yWFKo_%@TuZbR8126WdwKD=_2jGl=WzXcMh@TNun)UXT#@|}^d;Yq1Bv z`4PJ6II0;pXUu@CDfO+_l1NBV)k_p6bTXdxjq}7914_G^ZxuR|(6jmbK%p}g-afP+ z>aQjIhjZzhn=2XB-)L9z5OuyOdzC36oB?fWHIffq2tOem-J=mp1yfP!BgcH`aBt3} z>trt()#A_j?Y~Xri;OMbB`?t7KMl@>kH5*-apuPs#k)j36IJw+2k1clzQ`#rPsX@V zCcAJV&nm_giiedkU`K=nN2nhOqpGfC)P_*u-3P^(Qexf>uU2RoFvzGi^lW&N*y9KP zak)3uF<@&{wVF>D3HR=g`M^UW_Qf+dWi4R_2#E6BXP+aXp}@uJWFr3-U-Zm-SjuJCKar2Nn-HAlq$lnxmO$jz z+kVFH2<|oRkvnepF$#_vWU?j^T=!G*-=O~$I{aJpKkob=!Al2z-szd4LPO!T&FS%U zs0f>WGDhfde~;9EYsC5Xpi@`*{pcVlD!*rkE(I+MrB40-cgXX>q)X$(KFVLGr(#d& zGpZx$o-CpB5W6ai8*BgnT_TC+$_FyC-}%o~tB(p#+TN~(>(k+SZ^el=bqYF>f-a7~ zBKUm61>Q_YI^?}reP&GXl7(z`aRTvOe^Xlo$Yu=Ke(Ux*8GSPP_Rr(R0-~Nu$;V6x zA6t!G>l(RB!i&eo#gC^`Au)~FfOCj6&|4iIqHX5IhqA3XEsDB(Zjy-v$VqZx3w_G@$O!|0{4lMj8xeZ4sIB-p3x6}v~lA?MB9(mBAmsdd{h{%b4wpOXi z#61c}O4i8{Iqrb8(^FsjnpUOlLmIgewm6rB40^x<}dwF9Zv=fABa_C zZzbW23zaoH3Ec{_jlOY=AfD$>v`V{7!o$~_D2J(3h>py6zU$3^k%FJ!(q56UgLm%W z9^(1-1lHdk0!02D;ZPVpOvXs5+z@r5J_RjvJV)XfpvSRS^aRnzc>X=n$>CH8yC&dN z(oY9*&e3m@nPlAh=EUEFME%EpcNA1M6MoAmJl@z&Mv{7}8hCL&*%QlvoYRcMnW-dv%`B9-NbJGgD>fOW-{^2-#pBccV`Q9v zzeRgJ;bRdiLoS+01PAJP*@qzsB~?K#ER4_zFE!BCp8=7{8S5{XkTN=}^47 zZ!Kfej87Z;X zB0LDj)3j%%EJC1I@|{Z9Xe3_IPh;Ge*M!V^w$U~>U)UZYAo17QAG;bHU$r+-(QE@- z_?u;A+`_G6H@VXi6}7J99nznZ)v=<^y5H&aF{~}A;gE3hg)~p)$Ai|cP$;Ibm__)UYT5DlxvdPSzUgr0 z(v`*be1lq{I^zgjw|0`ldUv6epv?Fx!U>l8*R2M4?*5hKAfKJn&P%8+m3D%;tXj;I{YtIXnIZ zJwX+qU)t@ zL?VANWm4sbH;8|Gpds7t2n%hqOuCAJILkO?{PV zs+^+%9rKkL5bqX_mqUFDI?`3ZRxT~?&f!R`&&eMHA2Ocj4HtDiXoP(gmp)uu4n)D9 zzCtH2dthqR3$~a&ZfHSD?}?4{#Ulo>&x^#2@eoPlJ->YbDjCc7=f96eYD=2$htFAf zwD#OYxO571^Qvgxo2Owxrp%bmS_a;vF!H0T6Jeg8FX7cnASR6uPYk4`VxE;8@Y!;>S5oodrSX{CeVO>yFjleU=gbwBL05JuDlfg zj1h`qM`x-uwgIHoL^{3$rRpNwwJlKfm`EmQdp5r1kxj+f;sF;vr6N4ckl6E`oCRWn z%vUo9QqVb-VK^38K;+F?X-AH1@KAYX+qN2y{@!=T-&Gf4erDylgM&#>9{8xov?>Dh zqE4N3xR-^|hF&_g(ve{BGo?9QG!i_*9}7>OjX_05nfc94-tfKTPpe#Z1a$7!$ozQ2 z2TOkBUre4>15W#P`5%?x5cIwEJNKz0z}5IuX`;gx_p4lZ$tps}4zcu4JadJ3PdSD2 z$fsCv=TCoQ?&SrP(+$pkdk*74->qF_=`gIS?`?D`a)2{`%4D8$H~{rm!KrM?|50$> z;Z*)_94C?NJu8$bWhN_p?3umy-rKRqvG+RX7+KksJ))t~O+qR~`j%v7lSmW_Kfiy^ z^<3w=p3nWc@AvEVxt`}a?gwPMUNM3oK?S20a>f$XJUjop?RXw}JJ5?r3C67EM&p&ZetV-9d#_VORTxOgy?Yx;J0H6K9PN$25jX9(m;&5~Y<2lgAO zlx?f|;OppfgZYXp)J(A6eW_2+b2E*JB7R{a(b##N)ydvVWI661RAavS17H$VhzhRow1IPDtK|&XK zk+r%MlWax|$lH4ddR{o5k565ntT$zPJ zxseP$*VXRpe@g`-uEesvMGBCWJYwd0m;nX2xqSEg1rV!z%A4iv86@?kKveE_IxNhj z#2fY(1JU%|t9F6nh&rt8>94^wxFx5Nd;LKvOq@Kgvtmb!Nh-HdOi zfc^5~S;#;vh*A^(PH>EYZ>|*U$Oc9ArSIR-yY07PXk<} zZO`3sRp29aq+>G-fJa=H5^|VvaEJApDXR1Wu}b6Ak_UnC>72CbW0cr{pKP;DygB~@GG`e&Rc+v3p%?}GjbaZP{P;es_*lRtRs`et`=q1~v z|G;@5@G-Mw9k0*4TLtqdN`r;g2%5h83ZRKXizUw`!#|!oZw3c(z)_yMbX#2m(u&Y2 z#F+w>wL-F8_wtVCg(O3bq6S!Whs%tgNdd2>jAX0(w_xG<^4IAj1K?yIs?r%u25k?{ zdoc_}P?Mv;>1bmDN>>tlVhmEC=0lGIgI^I;H2!{+r)B|Q;V`76mkLEX)pfU;l912E z>~{^xVMyIhn^#Xi8NOTP&gMOiLs30+zIg`DXhfRSIlML&SPADJ-iozE;dQx|hb+Nh zO~IiZ>ZuG4?oa3DccbCeqmgFI;m9 ziWeDMR5ckGCUEd-BgmhbkPs&$<>NxSB`MET7gVBHe$66rRo%y`XU|tDM zFSA~=-%UXzU+*@x3=rVEQ02WpY8CMK_qu?ZCJqVd>0c-%&4Y`wOKn_Si?O!9HOFw^AZq|oEn3l|iCC5Z)_homg*U3TNvIV|b z5x($7YBe#u6bt&Q+aXnD*(jG*va-+L9uB`&(vZ+&;B-i%Eazkn^4cTX47eT#4sZH% zVp~$6!&D_Jz7&t{HKxC~yq*Ma&Um&MUdsUClDR{Z;XE`Cq+HrZX`ns5j^ZqH;GWQ` zjiFv4y7s(S@q2s#U`Td#TEvUs*-iTEWp(lB%&Jyq%Stp7v`)wvJ8(p-^NQ`gg8m?C zQFH5QSTG9bt~7rb?TkY19z9j?^@hFM5|3_=1fy=_60gkjN?_Z-n@fr@gJ);NKdAVN zAhmWzkuy*ZF|6OF!w!>>ooPSct+rs~Xdu<&ln@5LYkJP6z%MhlY`l69jJ|u`;Q)cS*LKx9!YU$A|MonKt(u*x}q2on+mi1}@ zblIMJX0}j*N*T0yzOoV^J~c+7emDUbn5usrt)>knxpdd^e&3BcD>rW&1$Lw^T*=KqjJf#;W# z>^QGf$c;{qt~$V>FP5Yle;H$;kxJ#F?9EItWux_IF~cM0wR=b0)`8$Xz9TB+mI8KP zUyuKIj6-9r$%CU>c940d%${#04sM+mGW*etN00Cct9$dwAb?8?TwuT*_b)xwb+ue{ zBKlG2)5a`F{){ynJHmrVqx`+wOZjL>t^4_t13Y|Kx4v*fJP*E+E&41Z7NVtSogW9| zd9b4sN8P+$0K0GbUvl0mM(63>PB_!%g9h|2Eb$hCyTjl3Q%Oara-6O}V9FEO@q9S_ zydodCd$%Ml?6HWU6QeHrIS*KG`TgRkDgwHxiP_H*g$TJVa)-Xk145gH&z?#NG_d_g z_Q1UWE$y&2Wvu3bc2k#+hkq#$T|`omeR=4w_S4c7qzz?_!YqwK`GA|iV?}$2WEUowKkghD_aTd5Rnn-@h70>!)=@WK!3<3 z=)C@@Tn0rZ!lmg6$%tmwi0e_>CHT+IspQ%1O5o7Cmc#xt8J)mQDF60Jhsa;M*B5mw zA&BBq)0R&L>Kj;bWAn^|fED7=4{Eo;mOQC8k1Y>NAd zA{%W~{UqBnBn7j~Qv$ghl>pRBH#|jBkO2RsroI;mu*oW;t(s8*RPi$A&2j07_DcA@!ENkA`FHzu1i2ymOQ z+4Uu|4D6ivQN$@3flit=sVp^Cf!q(tcWip8 zNV|KPG;+%it?cWb(tlG4Z5HX8d*La_Qq7I5IxPx4b9(1|16Kup+(nz0rc;r0ZMiJ_ zcYnlPL}YNfwE~|0_2q%VWJKKI>(lRsMNb*Sdz3ONVV30yFJ(k3a>0I89_{u=7tBfY zIOvc0{4b}O#7F`PX}xE6g);`3tUqo4p;rcDHjGMPRLSUU7Q=PNZU@u>v5wXEqJe3g zO6|>GQ)GT5$`!NWg5);3cQyRXK`c_L{`!mo^ewB82>809e-k~UyI3cb&(NQLF4_|) zud+9pr${1AWlDEmj4|4cr_j4o;{zAE*Xd4eUV{1`s~xsHE?{X}Q~xg947MrT9ZY461j4+dM>AVo zE=)NdX>nRbq7xEdcT}DSgFa2qxYPF-5Pk9+pZhNz&4${We6;e0KbU^<+4T_E>M|?& z)Rc~JHeWe(vh3k9xn)T$&I61?^c4QpWuWOrA-X_`XrNN$Zkp&yfa*at1&X08wANc% zi`R~acLep!KC=|Csl33Wd<%~-(K?f4>Pesxd_lqHK{`mD`8VyimWLucf)1I*Q-JJA zLb``@COo(giM|!L(EfzqjWYLS@cc7P|DhloUX}?;$T=6F(J1$%CyNQd%&lofc{c}c z=;vhWjN=jHo+r5<69WqRiUE5CIG{^qtSW2CKn;|`e0N8};j+p-YJ4LO;^L=!SB8?& zujHp38>JX~r)hAS%gKo7ZBV~gK{QPK#HA`x zCqicMkW8^{I^J=?SX&kWdW%4~g z3;~_;wO;3&KIk!7#!Z%*Y-s+}ZK|^Ageu&k-F=<>K~i!ly@wMIx+*tY9riG&S7Mjs zKY;)swx>FqDvO5#1Md6P(jkcZyVyR5hcCD>Z>3B2Mgzn9;1-pOaX>S8i9>%X5fOxo zf@S!l;dQ2yyrNtfWE-+AB{WAM(z@jq1urZ#RCSnwMF3oove7)%<%zH>Y=1|8Bm;VG z#E231LZ{h-ZG6m}V86X{FLNmsvMfCZFRNe>-@oX<)6X5@?s(<6FGDKW4G(I?vIU`* z;r>5Hyw>oX^yR+t5jtzL)@1984K7mXkcFkmDY)s;fg z$>z{P`@ArSWyDq}ce;b1cJ1jhIZwn9yizAS6AP99&e!fU`l0wc`a?aF8qiD`w5fdT z@nkvQ_(i2KXni>9hWEBE$b=Sz^ zvoOHPOe-%b6pOk|+*5KUg5W8Kh5+rlE9f+psCAwRK^>tqF;c!kK#0>WBWJz|yU5kPyOqSGezj+#yWp73Ps#A&#Jk50--bH!LOFb*2qUaKzTLS4|R2jJ)*S6fbqAtOugrW zkSS*Q>RBgqL^$cTP$m-yq+)MdsjC9e*@Ly}`DYf$wrTsob<__6-X_l7JNDVD&%B7o z|Fc5mJ6ucWUV6gc%uf39)>m~y+gS17SOK#KJWHfd$hT~;rsnU zAhKr1MaG&Mf*aq*=az;}$PQo5-cjL>EK$Z)eH%SscXiw8|6qaC>y1sf#5_>VlCDzx zUkwln-E;B3bq(!biX*Rl=!KfcMmGzHf&urf@0Me0C=A}F?+jv1L7HKcPs&|xLdc`M zQ)Ej~kidYc%G{1cPWp0BUy^wtZDASN^2l)bddOH`EEs^?@7!uwjf_Q)|7%Il(C~-s zA5{5kbnc*%__Ho9*&n8^)rxJC213%mU%lhS2`IPI-8ZL68$SB-hZWol0lnNA@=S|x zL_T+2=ViASI%hKy{fZU?^p@kEp@gUaJV zEAq%-7>Q#s_$*_A_86Zo{mCqZi}zQAT`3EYugT?@IHx^GeKMfWU0_)~`Pn zE!~d#!!qsw)tgtTad(4&ym{cKWOX3Y7w?$36YGF@uO~OnwqbzUCX2R#QVCw%erOiE z5P@V<6Cb>7)rRec%sT!3Fwk%+TKV@X7z84Qo;GELLxWI(GABIe>uF0|zJ>xt<-3|;2R6PZ$odnZ0CQXj>z-S zu<(m)Iz*RF+fvGuLzGpk$F*7)G;SQpQYDxQjMoI;n{iY?%1|@W)5q?}Fsq!S^C$_r zGTd4vS%SggyIy^ta3sWMG)BER!XT-;*Z5f8`NOE4t8g=4BoN6sr6mNpB8&S4y}{p1 z;hFu$sF2JiG+P-0;G%h#E<)^NBs8$Mu3 z8v-f%X{Y~9VUXIyZo;~46m+*;2+x-agzhHwweBN+>En%nJED{FfUtFN7IuAm!{`YgL^}*NZx*6S) zKis*?Ymn3H1twyW{j1^;U}W{|OnrASL|sw8nAYxt^z46}bH5o4i+}#wXDS4MDVdqP zc#;F!aJ4clTT2C}i#{vtLgpw~`PD8%W(r*4>Ratx%?8>ptlF!CMu_$496|j-2FUcw z-229h17X?GeuGJbmM_T$rqyRcnrZ34m4r~p{#y21!Xq5;8y`R59(tg@xjE*|^kDeR zO4gE99R;Mxe|Z`|xuL&b#GZKsV_;BQbWA}h3Ld}z(L~W=gvMDFUQ3cYg5HkFikv?N zf@$UV6Kb8{+HQ5X=Ho~pcU8NorH_Govt-QsST~fZH1bAnBO2~U4Y1eg`GDJB`+>kK zwrD3)gj&!y0R$2s#1=iVMl&_5S{BceU{S?6Zjv||>bWV>7tJlvEx+HbPZ!dmmT1-7 z{mj*bZU~+KL z^45|)3f&}oa(>+rZd5D{+C~MzNd@PIP(d@O|8UOG91{V`w)71VKm6fMgi6YuybIbK zd27$~DGEgQRh4Fbc!8OsO-NXf6JqIa9_*Em1xu$-VqAh|sPPA#klzCM+!Ydv$R4i83615OcWAI-_U>Y<$zj~G`GYir@zjv-; z1fZoRKbDUo1J0?&Fkha{g+1d{j6t{tI;i68ny<As)0mchD3FHiRb907K$n%? z8^yU7!f)?IA^H_-2gF|oYUp^%W#B7T0x74(8`3R&=kLoxMM##po~`Wo+?drb=iMNNoC@kThX zy7*f#vxFfBCl?$O)iGZga&yyHUVv!5Ifn^rR{i z1CG75VdM(;c|S0sirD;bAOf6s4L|!ib_XQScD;XfWn>5$RI>Uj0?QXt58;(BxQ=E)1_eY^6 zHhrcx2@uL3@~$oq4^k$NFPwMx0F)y1&x|nvVs#rF-+U&3tdGvcvOYhE{Bf=MC^8nl zojvup>_RRue;`xUzY_otHFru!6ry02Sm2%HKn$>`tz*Syd?0%{fNe`q1Ensiwj1qY zAueSet3~PyX`kU4#Tk`jE^0DXw8TQJZSV&ULtntCPCu~aQAZOgFJGt}=cu!r;;)wX z-Y{YU90fhPET;b^7D5^fwNA_gLb`&y*8G|-+Qsk`jWm|S=E7 z%@-8Roa9Bgtuytsg^`f9Q1+jQo+FISTdUv{q|oDCo+81X5SS((Ceh~#hFszx_P~tG zu*}#OGz1$Yj7*|H>|}R-w2L@;nv}4o-V+1ATnA*rzsCYCgQ9-Nh&rlK_>pLA zng|*FhG}Aq#_0LNs0CqI7tCvgxbF6VqX?efb29(_w zrsCu=@HFy=iZZz_Bu8EOeCJazoZ@(4(Ou;Of7RZSn>#xpR(!5xFLwk8l>JoS-|_(p z5do5Xe@~Rf!hK;nD;iR76MlYmVnl;oZo#7bVNlahrkgGj1AkUV&)GdyLlm@fQ=a_s z@Xh5@q={rK^b3oM?Z4MXpFU^AP)8*~`B}&1HPI+gb(|YF`+!6+`)I^j5meu~JVAq$5cA38i_!Ojfa;P5HSdfQRD~VX zoTW5H0V|1-U0!~m^CydAOfm#^tHM4zp4UagE|;Y}7Xsku1U6mpK_sZhb$_}RrGh?+ z8~1e72LpwmLYS9t3|!+Gtg88|j}B^=Th^{)f#@&6@xn15FXp>F>{H@{{$er?^NJAA zpAt<~JMe{^M;MpCb6!xs^GT@B-3Far?96=l$`@v;FsAQ^0^nb4%nGrcIr`uqt#@W9_%UXHmj|4g9#QASU!_OUuEmc)LI49GT zcS2UD3EDlGh-3g71%VT21GQ`6BKAC$XL6(S=k|l)R z!57{VY~#u=IUkw{uF(M(h_YNgx=ye~lH}HH z(^B5B8~lE>>aiaf-;-UZF*ipstDb-7Jv^bJ7#qI*(G!@j{%V=MuaEAuTsZNU;yP>> z3Z_}MJ3!67`)vbLhTu3PwMuT?m~ zLzao)LD2wo`PvTIxAa(W+S8>Z4mO5dce?z@4r4@bZ`;Dc84FfE{S#wR=Ya!@wND>Y zfk!q@4`j!&Fm=P_Rg2h7qz|40l{qe;*!I{;d^j2`XVxtz^L;>r*Gw@@D+Jl<`je3F zo1id%VVr0l9Xj`tZSH``2TnM%dd4}ZAc?E@*r%_$pk|rw>EQ?duoyM}4{K%)N>0~g zU7vZPzKtnq!Ru~7#o|?ev=aixwmr!g5`7UFFw;wy-bJ=)4)s&*&R8K&lnhi2JLk%-mw^SC?S z5XZdkX)bFE{E9K$Afkaza{BeyQ<%fWk@%6REiLE>{Xt1Vt`Ck3YZHhz^+1n}NBGTek zIZ48f1yky0sfE8B;A4vEFB_W>^pZNn%X!-vCPXHbmOl6*lQdrSIfrbhe$>+1e%}m2 zS&|qj4t!CHQRGEI*KCmDCVc95uz^9xf#1dkK8WJ__FbN#Y}jai!*x#75qJt|lwys& z(3vCt>Au(;AfJ=O_%FHuK}~r$ble?f_^a>qD&Rom?nhc{e-GGs{?7c#4;NJONid(L z9|yK^hs540-k_EArRmhHBf3c%^8J)99Lg{UXYy-(Oj344*KmX6~ z6a0Q4`azEPVwffRa6PUTbA$&^n8NzG`ofP2(%Exm7RZE^liQh$05nHf-*Gx`kgoI3fOr z)*>&La8R4Hn816%4(hmCG-Gw$5Vu{&gG>_~d^TG%Yd zW`8`y6r3F&EAxh~BPr&WGxkU+JE3p$IUY_DQNMOL@_~sGiBRTZTl6W+eQIwF56Ova zbXiy*`0g~lO`B(f-pZH^=O5tVuhRQn{#-9e_|$OCLD&v`p3p2Me8mG>L$l+5t?uyS z=E^6rTMlU2iLj)ag@*(Ya%n077oZe$4sE;Yj6#~Y&WxVL!vjds!|^yk4}L&MBGL_A zz49+l>lO}5)jZi9h^-*7J=6cnT~GAu)l6-|1spKOMbb~jn!r$9SHo9*AC&lenDXHM z@jg6-Z;5X)gy5l!fy7(B$SyK#Y^g8@77L2b_js7VgH)_2d!!%Q59_6iAKbMjFrB(KML78TkrWN6C#-Q{H1<7z`({i z@e{0mNZ(2OBsM4uG<}?8>vLToJc9C@^Po4QFx6z+ylkv ztSc2aG>C{3lHrPVcL|*!=#aBBWwqwBsq7(0|IS__-S*3uk()#F_&#wj0B~#QqRpDUm3i=78v=zH~cf z;b2;^{kJ-EAc$grqsSMg$nWZY{kA$D{FP28P()zhy5z*22j}#Vn>3~(yB-guET(m) zEf{dzs11L1R}+b`vy0!T!oyHgM6jA{AUvhudJtWqhfYWr{O5T5Kej>4-QrjL;M&>u zCp6nlQU0Mx*Weu-2s!n2c-8bFd&kT6^&|#4Y~6mZ_$UE}D?^pJPw0bh#9jS-xiIuci(@IeB_7uKtwC?( zxbL>=hP~~=5yzgN9KJdpi0w;Fi+|e!ZNvUF`R5SSOM$s}qb33FB#qUs95}(<^=nwZ zz(8c>%R6#WIvF%YN#78Kxr0dqlZ8u?7gD;xM{DJn2I3F4W(8M#fFW(+by|Z1;=~#? zUzyK@f@j~y9q$G~H@C=Y*C%Bp5|hnwDkBH-*2R>+3`GLg&#w(KF2PU;Q?IQS4z$m{ z6((Dc0XLrViA!11@Gfi?N8*eFiDwkbueD-e>r=-WjOazUpOtEK>I4paPKm6Uyo-P= zX9dT)93gZx|M45yRyLGzzVmzj|8pxLkL>9YP4xP&d5kAE6O34uJ|&v?0&gV4su8~> zI(s&wQjIDduCa*J##A{1hsNoLL|)0M@0iy6XM)wkp&N%{zO!~jD-A$V^6-(aii;>y=d5;qyru2ZK`S=3<&!edR3p* zMq9(p2WRmqa9j56ST~tFOvJr#tf#d@r_C=e^Asn+{O{H<*Fjf!UcadA_D}`&YIaXj zU?SmhChI(Hoe7NT7I&)(JD^t-9#+$saClT=S5W`@44TJIKKjqc4>655n)26#K*>es zz9~sN6yGpV8`c|y?nrK5U%MI%KcjonPW`b(ONEMUq>q9Soq2_*N_0513(l1--!ez{ z>;k`5kou#tea={dEfzj-HfUU<)JESUgiBj4>7%Q+WY1Fmj0f9HpJE163n);(^7a(H zI;fTzoZYrdf$@OScmY2jFk)KjyL!tM0@{xJ!tuwemOE=&sv8D(Yh;B6DXc;Ex89oI zVjAqcS#1dPNP*O+tr%c4hwpzDqL=&AU|sk14!KnZyuKo(>sM$7GXBvuOAj-kYgweJ zs4*2@@FlDZIvB%`^OsIt%FF--hLeAS$rIuHEK#8S31eU+Z5-nYPk{qv8O7b92oULI zk8Pz!;>x$KB{jtY`UGUMi8v3(qnuxdbbSpdeD_s`H|FpuM^w?%rVtZg%kp5tc#diqZjJDP0Q0*q*$**cJ-v1zG&8 zTT6XH`G+=I4TkCgof`0ysmAn5x=Mf+m zHvE(V9@|9*Eq_fR#)!+wV>bkGtfcq)1SG?okICB&_k#exrWwl|q=_6p(c?{ca3JXZ zGyV6m?>-{CX6E9?8?merZXDMl0K{fe?RC zD?BV|I?juqr^P#RRkC3T<8+p#+Yj0|);SDP9nsy*ytAp|IbdjprD@rWLS*${yvvtd z(ZzwV^;>hnkhCUTK|vIS#OG%=l6o9a#izEZapDO0sk!I#SvV4v-QW%RWP20+w5NYc zsT>Wo2VPKIl)mY$HQK5a``3 zP#f39pf>U%v-4NHP{Rk|l)97QaH3`Q+uzYZRC?+?o5gc`l}kn z@wY`Sp?)@WBAvOLj3*XYUtZ!AG{}M1sxpcU5mCT%rP8)NJ`{MO4?jg4<-rV@MTf$7 zBhc!+eRnG=9)4WRJg=gicbu!;T$M(y5XRv*`1*MmI6F=UGSm>Dx5gzYkRu4nWlw)= zsP}KkyG;zbD@an-iya5093j09}Rlq0jJO4 zp*EHa@mT@t7moKuMy84NMVSSGOtTS6Cf^ zl6i(&EF=vs;@R0tG&A6*s>qGPaUYPc))u7xl??5RXSfw*a)9K`)y2BIw&2Su_n=Wf z1u916r!Mi}flF8_yrW+YTn+o|bVss5bmNRjX?zlRyn8)IRT2!5aq(Awl%_$sUC)-u z)g0)%MScx9{Gfy-Fto@z8T{?DW>w;{;FHU`)#>I~7}s^2?A%Czq!}S<=j}{zEqvWw zC?5fhj#3knlu?kOCE&={d7Q)2UIQi#5@7wfa=+m-4%Q=R%X<$oAqpVHPTUW79QnD$6<+)kH89m|40l`kFV=oM+nt8%%(JjFM3C)NV>gvXn`^$mpYHD(6G zj|g!4C*N#LoC*5q79v^A9srk`L+RDL2w+UHp|AKw5uGT#ymfjx07iA&=*hAPplVrW zoLX#!Hni6-_j>rl$KUE+O}ls~-`a>ZbP+)~Np^9T_yD*uCvAiE&4mj3q^6BsIvL6s-{98zj_2+pr~jrm z-9WpHHMlV>1%`zC&oEygz+t5FELs4}}=>z=G`GtKlOP6gnqTrRX7;@^C1GDO%#He37IFld$~k~b5^L$_LI-6pp#5b5muM7#@x z(pPm<%U=nAUD9VR_)invlB%IH4GV-v7m_8DpWwm5xnu8v0y)GCmu{VL3$WG5pv4l{L}CHmxv%>dViaywkiiSKj&-O z6gfgB??HsNT`*8v3YUrH!(@X6CuyFPU6ZR2V9z0QQjsVS@3tc_S=Fn{{dynQ`0Pv==$?Iwo;EjuAl3cMpblp2~MoB&sUY$tDp`#*z zOls4TRlOSw2TWh6$6}U_t$=kC&AWMs{^ky9*j7|1*3o3 zgLUQYn#=sz5d8MDE=O59Tz(qszg2;S5bW^3qQexp)-1O7eK7<2^9}Z1eTxLa%ZGM( zHOY`-n*Kr5<#_+A&PGXH@&y+A6{puLNzftV-d6iM9U9XX!<8NfK;FJcpJ;p*FiE?{ z!FVo&kVfn@533{TW7{wA5`0oxIGkyj4}(5J2m;0goJzmd`(-eiHu@*i*F)EJ=BvzQ@kDiNj{gEib#=_*cQW-_cJWzh^KhUjh z09{e50-rg_&5a^d>9 zGl>spLg4EKXrQ)u}-qcG`(R z@#2AU)k+RfsP})Jw2B4d_;)?ZZ=!)7H#={xk_Y`?yeHn?w1v#P$fQ*N1X%c9raCi_ z2TUI}OU8sf;fd)&(-*f$Nb0QmSb2Q?ZEQplae4rlGQYf+XM+KuOqQTrja;bDlLD?W zYdC3k2ydK|AXy0W_2E<|#Q5!sKMITm(5!2ys!sxLVd+?!`Yiah;=Gm>gN1EAl3A+W zM3|v}`d&$Z0Cq$RvGC}7uJ0Ync#!ZsspjF61JZQN z%%!oh&}7}Oa#AV|MtxN;*WM%mj;~~aqdfx3rSB4kMWTEZbht@ScNqJ5oEJQDQ32&XP{CV3O{tv(U+=u}=Pkm)(D-!${J#+JkFDkXX_ElL z<7M`Sj08ycx%=x%xDym?mCJV@&zW-%mSTyg@emn~a}SycfF^?cGqxOWh#q;@%2b#K zljNUIh0LnJdc~`|uY=-1fojo~HYXQ0BExkDzAAyzd7iPw)_4%Z3rq^Jdskr}IFa(&=HZX1ELMvyzymO}oxMBH=dZR*N z^rwq?|7a!{#02MWjR(M8hP5jrt`Sgqe(GG>4Lq!sOQ<}ylmsyJrDy02h2Tni68AV9 z{1p{{^GC-D7Ll3B*^5CC6Gr#>N>?r{uvDMyW>!UPS!O$l=(z9f_YZQ9`3*;Pm-Q#D zJ}RfS9#DN231_YzImg^QuA@$(&(LWDS908mrHO5LWXhHG)$*f45Ku~zK0G%&!AQh=D80BsSj{^%V(^WArUviVa z`eHh`J{F*CYzYAUuzJ_zfq2L~$)^Vc88Emd|8hYm96U4AP5-H~@jkM^I3*~5^Emf~ zdC7gBWamIYVF+O|$>?}qz9_0J4+kd{d-(oODpYh`Vfqmk4zs0=G98r}u=#4Nsb(qz zI%VdyKl6pb2mP&R+vr5d$tcW{Jofu{Z3L(&L^bUKqB>^rEiKf5M%L4vYVVgQf zGnnLX_VS60g~j?SCzB@9LC7G*l;?3cNIiR8D|R*wCLZ8AHHb6ePDzAw5q~)7+?1yC z?MZ@&-&9AICwQ)nId140b0R!tpN`lKu~hBBJxHYyuWd@ zBVU38-E^f^54W43p7Zj_=cy17$#y4y{|yIPO8!K}M+$J*F;Q$H84qimAspM%I54Sk z^cIZLg^Jo%+HTeaXt6tGqnU*RTgkf~^L$>=qIOrmOC}ANB)MG|`m*7{8DzYC?D5s6 zT-z^`GC}**iw;@^0yNeO{H7<7LL2*)1d>O`9y;nq@1LFp(xhMQk80h)BbS?Trz#tY zQEfET5rA7Zk@#znB6^oXx5@1p0z~v<)Ki}cpgq>nxL2x)hz@T*b=3@n6>&@XWP?m7 zTQ;YPVQ_)=;2%FD5e{e{lHX72!ozL%m%1HyX~11}VlC1*4%n;|_vTx1aLBU%mDztr`!5%R?__Gx*Vm%R0JNJ5f;cO0jqcivzsuqXBwr7kJGpBxP@r z40T~5QXbjKAX1JC2)@mVZc-oqtf(h|b?bXZrz<%4-SC2xD9Q`Y+Kd_DHq&7_aflWx zj{_#;8(1o71BR`u&$QbUL8D{j>h)Oyh?`z~5JRknOr4)sUZV+u?2L-C(3oT1&acW+ zVYflGq7}1$6Z~PL{BNuPjsPOv*VvQ(Q$#rtyi@iP0Z#{m0K4=3k5MalXs?mjSYvYh|MPhwst^6)tjpx>A?`d_pUh1a zJ*^0x>56k-4Z|Rx(HplZl?(ha9p=F>1VldEW^Fv#uut049N^>*D`crF zIl-Zj#MMpJP?iJFXIJfBANPy9t+(d$lR*$Im^ExmlMQ5avnTxx%^-_%@16dGXkc%O z0J7t`Brbh!ENYVyg+*|F#i}23!B*k*+14T`xI;72$Kr#IsD=jDxRXJ%zwXbQzyf&6 zHBIC)k41BZLTqiJ5n#nu-Pfg72(RALD?Z$eL{4G5dIQHkQXcF6ewL&d;*cX4aRKz4zXnW1oR@?7c%7rIM1O zBsZmyXj(0WLMn+!*6;lO|D4bBJoj_I-}mc%UFW(!KSM>GX%rCb{%e0WmxPy-&l?QO z72#=ac(*d`1*0q5$=45MV99^Z#y6kl;xa@Fet+T&U3GnDhyG?DX-~?p|eZe3Ge zIT(J1i&Z4NCZgOoxk%rGdD!{0v#M@^3jZO%s+o) zGxDP1T{nx33t#f^t-LE-#C`!0tpIRgs{8EwSmi9-vwdCcEe7R_}@n(7tl?ZGHzHCju z?MMijy6#w$3bJ65M>!;!a1Za}px-~l3 z3#Cb>oKNhF(6WYj`*KhO{2HWu`uB{8ZEa;El*VFAk$#e}OFs+>^iHwyF~?&YMb-D@)FFGCs`oC^sF;L++>^9{aTrxI5Q;xx$&8*WnRxtca>HRh@$!$-D2?60^}?tBU8OQ3MP`YZe?}_|XQU zHkUnA*YQTpMphk;-7@M37RBxidlBqrOut@8*%O_OH^=g;P% z0(o8$CnCZ8cjiHd^gsYfK(@cklo)SXV)UD;k6<0&=19;~Wqs!U%@Uzs?y>sJ za+F*|B;3{V^r~zPLgL{c-S^k?@TC&@m&(OZ$ex+p;wKn_>h)`@Pq*cvw1mV?hd)FR z*t^E|yQbD4*|A_9E$iz4Mr>N1fqFVE?QpFt>X3xhsazmbywCX zq_;k;*dmdS7WYg_YGjE}^3}M+moax>Z1;*4Zvl3bm@D231%v%6rGJZ76n?A!c75bV zE?S8UEB|~S1xYW=|4bew;B9yiaPE2@PIO#x&=iY=uQ@iqabqxcoqZ-?y~fa&fZ4L_ z;b<^BlFDT>6^f(tuU?2L6`%;G`i&dK!SMQot#SD}0TaIly;gdZkB+z7&8E`A;PP0~ zsh-+kWR?k9m3^C!MaQK@Z%a{t|EOhxVo?Gb2{_#dn9fIawf=OfdL&S`8EalnqF`tG z4KDk&d^~h;v-3Y;f7o~?MIxY*j@K>OCa9|U*t{GkXzoXW?n7q$n*``Mn_Tn!lVKhz z?DvoK`RWDS<99!lG-aWQ%BFH=&3rs(v0lrh=K(674#Pe=nW%A@zHYmcj|v+qm4gn2 zLh8nqp0j@Ocy^wA?{iHK-sTEni+Dr?XU>&FUHO?jzpgIl_e zGcUyy;>F`Sk{=IJ;IHqvh4l9roYa#0v_!~9@k24s-uxv%S>NMD+8P~qmFn;EV=6&8 zzxN|d$`Noom?oC@IR9!0NRVYB&F* zK<~J!dq1e}^XlOkC;wif?0j*xhn+-VSW9I$i^fKv4;N!~FQOyj)yX6M| zQa$tV%k*Kg7WCYzC{hg1q$BwdhsRY5CoyOF6Nis%j2!~p4W$aV$ z(uy`K5$>09E?jpFLrY4x=ml_*=r+!b?}e<(m*6uQAY+>Ow<=%Y(8IAh_Zp^1L7~epq?7`W4mSsnr~dazSFu0 zty;4a+K-2Uu9}+R(H-%adPThQo?RXWH}UV^v6%>wH@`Pp4Wwg=-G^hFlkzcOa;Mhx zD+2sBS-86YPclC0-f={dr3kgBv*X+AyrJ#Sd#eVAbo7+Sf4cOh2zRT^3vX5ThB{T< zAN>Al_(`!^wCh+2p6RO$F{lj!;^w?HY2`$GFL}&vi&Y_#_a8s!@QA@Uo)GH%qM#wu@7+)+8GW5!YhTnW!nl%n>F%2Wp!Pb&#e0g59FL2S|6}w& zW#3rJp-~Dfz86q8$Vouq0;y;1>_s>nGx{n2UkC^Z&MbC%MdQ`1)AE-Y{>**iOQiuR z22NJY_xwzVz<ad@>O9ycQh?oymChumo)b=3~Jqv%E)eBy1-(ll;oVF^yMu@qt$X zE*$Obi^>gz1%*ec35FDGbu#Om2+GAV9*>KQyTYN6c*aLIpMdQ~D!UA>=i|i$&c-mM z5cm=IRQ@uf4%S_*7uFT?Figq2fJ-Y9R*n}ws(?V83tZU3VwH;=(Iv73rYO+)rNk^8 z9*X9FqOv%0bMaNO&+xB|D3Fz&Jw9+h7_W_5mnmm6eBUG(#~bQz zP7CGZy`vk3on*pcUP{bR&NvVqwtuM+tIo&M)oh(ri6KxJr2IxPGZYE;md$c_^RZs| z^{H!-Az)JEk|XmZ0lR)^9(-^oAA3HphwV5U3@tT557TloFpDEal1(camsT^inF4*F zkWIKP@*jiSuJ2rTznqQbyWn5-gJ4MS1Rd3sY)qKStNUA-i+7p2>$lkw;F;#`Z4%}F z_~Tl~nyq^-CcjGUC@mmB$l3f;mxx|y`}BUREq5MPOD9;3d4+>*&8PFv_lBZOnNe&z zDGz%-e0cIsKNN;RL7jIZ8i#f#e@g%V_u!}HWMlb4AnWIw_SWZFs7&wEbyF|EEDzzk z1_{B?R@o{YYLtS?EYZm<{fv3-&U?-KSun72=(6vxqT_H`eO1h!E!d@Og7b?JU2 zq&BMtxZWb+4uzwuBuYLy+nMa>*%%9^WA9Xq?$EGeG2q#yD|vXUM&9j2Lku)nI=+() zNx_LD#^-mj=i*kO+V!sY1W0jpiwqnKLzz?b$L#xZas0`)!(OLj;iDjZdg($McHGh9 zYkir6r?!2W>_1Ed`@_FvU(^O6hxoD1FCTM|kd#{;%pU<4bm%@??Y)qF#iobOnu7vD z|14%pV!^7SbU|+<9UWOe1=-MZQA9^*AgDPKB;+N`c@$#sD63RN3glz!+n4DdAH~3! zewzEOzX@ou+ri_bH>FZp~ z#g_h;+f1sW;B9yBaX&s8rm^3?T*gWf`(MBwXwa=>(>2UaGMyt4P_V%7YNVPYi#^f%TD z@;~;#Elh;sy2b|&ygnGe-FRm%zRb9|FPNLb74p#`24_9cG`5{(xeo&JUYo zPXK({cKn+6MY^rdtMAV4;M6#p zyRxbS&t;V|TKMVsU+8WHiwB7?D{_vt_k$;NG#!7}Iq8I(n5JCsHd_LZj*f@sb6LFF zNh%f3F~O~&60DjX=}146SibPkZ`>9#x+-o~wwR&!Qt`W9T@Ms|SmVxl z+zvDdPrGz~Yh#;{y&>mBAU4Hc&)PT>2v@`p=dvW7!gTJ**1>B*_>`}n(9G@(Rf|O8 zvZO2SW?Lu-V>^X2f1isyQ`Ul+ju+16sZy9gX%1sCb;6%YBYSHOSwY|6j=RE|NAL{! zbd^p~3TCOtp67LFaOLUMtknib)Duwg54LuO?wL*%lU^Ncp=Dhoqbr{O z8Ix`1<_h1a6;suAYS_V(u^jARj)w(QJ+>xUfLLr@c(M2qc)qq>r+-5n8pJeK5GXXr zIB;`ua}oi|0%1=Sd#Ggncbg)p3=ZDbvv3Tl0j4}UQ&^d ziaJV#1M34x@RE7>zkNTWz`#$Ub>S=tD^2;&HZjux@7*;norwd_7s0{zImoyz@W$Wf zeKa_3M{?@rh=rm@ZXe!JsVK(RyZgj2W8EDMDa1-51m?|5gxADk%~rP)XFn&x`Ag30 z{_AA0KdD|p-x7!Ulh-UtRcTO0Y;TiLqCm}0vswisDk^Vj3F9nFg3b^18(meSfEa3H zu){A7|D4^ax5JDEy7(ZF^Ed^F9!^?1B^2B@8R>3pmjvo6PVbcMV?jK~R$KNv8AB&! zo4#hzptj-B2FDF?!1i`?N?BJNCe}Smc(RoSS6MRJh_A?CSI++Hh9wy_{hDTWTG1dO zG3<|oDG3O*+n(?5B%|PC^}L8Dbl?g3`ggAc33A5~l^ zE&f-cl>Rv2jv=S!)3xTHHs)R}PCN+9$!oM`vNvusxk3!~v;&hl-3^|c1~~TOzr!X$ z))->vde3*p6cX2)dvls(QA&9)?cI+!Op>(Tqm|F7|0{2%Ar=Z0Bye3Uc}&IO9lCW_ zIq48lWLhuv!5gNmta<+&GDJ<;Pl^9J^g!$Fj)AAP?AUSjg$g&jE2=jq|N4^Z0oB5O zw;T1{(ZC9x%T-z8^VyBbF#;CA+%;WnxLpr_6$ttKd_}^QX zIy7DQV4BD{_wA*3dU41@T~hg~M}q@oq3@~B$-or!XMkrH75_u|44K#@c<*D%bheC< z&mI*`P4$zp!Qp#mupk|X@49wQRfK@TpF>v7+ezpxH{+E_qCu;F+Pl7oBt&ysw{D_b~d?;M{8NF*>xAnVsN>j0NLmmFuO!?nwPG3|r6@{<}W+g`2tyM_Ae0 zBCC?HT;L@=KY>$INkZSRq@v!wn;P z4UKn&yFtyXDTCChLnuKy_Okbr3GR8zNR%;pkWhO%fS999nBFpzQ4Ud9}H z@AMWgnCc?mO?hU5Rx0L6N?qi$r9#pz4Kt}2b9|IM8*HU*g}*;F-W=z&0PT*=^X8En zn7HN14ug<%{Q5m&MxUX()#=LL-iCfaX}0})$v*+7cK1%7{Y`^X^`BvmXS`wH&4%W; zyHYT7P-fei=|tG4|FWL@Pau>Y;^z4wmWW4IzR5m5Oatj<)<2L))Ps8BfX6hMwY6gz&r3T*3q(ke>0NdQ@(xajtWhJO&4o(AKdy60t5LsNg9)}oIgdgw=NO>c=WIj zEfS!eDw@14H38q{U$}6Yp*!*4#QMpXM5rLR*L^;ogah#-;=g)nu*>Fb_HYmphFpYx z?mkXIOF`+$KxEX-{@eXGHK8DHZ0`BV$qDcE7+uu8Y6;CW&vn02RlM%39GdXJ3HuaR zN8Z1*0MRoxn)5_uB#xW$eI)r~^Uk?!J4ZLLBC_y4FXab4J820$6r3bA8 z(W?hHi6O7CX}X3@65bgI)jsuu25QP357zi}pnj9t3g4ehr1R#V$#6@8A^KAB@Q4Nq z6_%czugSup*!w5G?@NMaa@yNf2`zl`;KX9>-Aq*HWHzWhOox*u9F~WDTtLS0CW)ud z0{bHru5*f+Lmbb}wqC2f@J`^rYa>}vSm#*ga@a2n_#FLGIUKY>&Py-m$b~>0eZ}QH zJ?#dZ%qQFIX-Clc^XrJqQRcY&o0|FSE_2X&A#U&8%?IPV9Foq2CnAfHJbzOoL%-j> zlRZ`=z4Elbk!G!81S|6-*}F}C($s_p5>6zGXtVvnL)OpN(yoDxrZG{bt#iMI`iVFh!rkNGzS@{FlVS;DJj#*LA|< zz$ZfgWY)nb{IFGcVM{9w;$zZ&UFVDfj^%Uf#+S(WS!~M|^NUX{5dM6i$d4&_# z%i0p*?W&W+cy}D6m_HrJGNxfrQ(y8qZ8~fhsCdKsI|#fA60eRh>eIiGw`k3e4pYt* z{f7lZ!PYn8iOGNQxOMGkUT8-W>}M}ZBKwDfdhhHOJF6J%PvBwOHIN7|2RA=jx=IFK zgKHm0V`A_SwO94SXLasHbEuO^3?1kuOZUNnjsPdad{}70WStJ;){r z{s#0dT3(0%VGZrv31J%k8~mD~bAk^2o?lE1Y&~J@klUZ3Yp2k2o^rG7ral}V9*dld z;>XwrkD9M8c;ndqDlP9mH+U#}%eH@;H$GCgnVs@C#^(ahk_Luyg1mFHjsKZ2>X5yZ{&U0>HuteU{%o3r)i&Y+f-W| z9k#s(?@>@)NL7OTiw0lb9~n8#6AX3ASCk$WoWjmoejXt&eYh!f$v${>Kk_lZ=veuh zilnZG_b-&u;ls>&pZAl$t-tmjO;^~IfYsq)WcW;j&^;X*Ey4lNh#@Tv{ZupxcHY1@ zMT381_LTH5fiUxJkG1?0DsHmud?~`;gl4iKPXx@KuI`y^PW zfPls!J)B;sf6JVI5~ObV2ngQe#ak2lu>6yR0!MOwjn~jX=#186zGOIzlL^r}|IG13 z#7qe{pE>L;^*$>rqKL6ZLqYVz6zu)}`S5;AI(*AFIMXUffaCHZLZ6wb_`+XmpDcS4 zY+M)X)%*|zo1dRo*~n#%n{D)`Uwu6X#oMa-cB%lTOa%K5E=FVa%hEercF`d!%6%bK zBOJDMY-jd(8;_wX%N6nrPS8uaoO-?71seR8G!m$BSez+8^S7J^%a!b2bm=f?Fu!E@ znnp#+#Acpv4F9n&+6^13s2_{_YpQs+Z^EQnC*jw_ntB7TW*+I`=qLS_VM$=sO?k5CvI_k`oSnX6WKw zYX^BxB%tc=iXk2nF46Bk4h*2dDR)bwv0gF+h@|(7y`!KfkAt-8e@WoKjdnR?OAL&J zkzKxVQBb_8SVQdt9sJ6wpGYjmL8YQ^#RdxszWwD}bB4h)ZK_O0-i~pwZY%dmn@qy~ zA2l0)>e4{L@ht;$$WVTa8hm+zj4dW2xBfQJAiev6Ei(&Dhn%B0Obhz9rGZM`mgf"itVCE!PT^CdxBRIjNP=wc}fhV z2R?dl{FH)HM{ATKL$3pDCWIPB%@=G?)WhkI@rBmSI6@tD3cGX9yvn6 zpQaOCr>p2NndKsylMo00t`%L2<%+@seBxDojQMipkeFv3H40{aUTJK(5Q%%_G#2-7 zroqCQ(Lq+5IPfl3IJ~?}!t(-LpFeZcVe6wcCvtoUq(=_iy+fwp!C-0TOjbI4+Mv~2 z&d42?UpfV5c*S5RXRD3vpG1%nIQ3eSjSMd?wWl!!lknR|74?S^G&ti;Hn0;TfwlUx z1(}otM&F65-Dc=iZ;qvbZo4uj_`?G?`?|#5SHIu7jyiY~VcxnKe{`lV% z*!$-Ufg*Yo>7!TTPKkuUg;E7}zf;Me@v1A|EGHB_NaXDN=W6{VpVe|BpL6l~{sMSy4+` zhdmB>T^2>UXc6%6Ygl*pmvF2No#f_ekAbeO=S;iaT0;BB(t>vvJ+WVuu+mjbguyq1 zyip^OaGmV^>-4!G6dKztTU-|bgTIS83OvJM^p?Q(%jyI)WDZ#hF3y_Y05bZICb4d}H!fKiC`4RkO9z5*FJ$rH*#` zAX(VBfTR=vRPtS=6N(1NKdr+e^(hSb`TzSTX%qqbHFFyu)(60FifU+}oG(_~6>h)l z8V92%KSmLg80VU#n)!u?IabX&*7 zHLgQ&@pDLrB)Fm2=gIRMVt=@Z;PQa^G|Ud>JJ?ddO*m#Rm?Q$b5E$rhOI*|Ls*ryKCZ{F;cF$ zZO(A)kZd3*-?Po%S)vD9539L1_FDss!wLK3brJ-de!NrCM}>)@rQOkIT_C@Y<4K}n z93&d55|Z{MKnaO?rmTSB%ST2ZFK?zmkAbMOiaHf4D+@=QAGiP(de2Gmk^y`*4@*Cd zhbNZZ(XXk_P$YKYdVN0`_Vt~p9TSKLKhGeeIpuTkfa#M-zfnB=4JK4dy`w;{qHb%2 zksA!?T8FhUa*_5QFNea21fXjRPfCuu!mH+JD*JLQSSU|vF`Z6;-BPu8Zm*pKc2(gA z=liMfiSMww#w-Q23|}0KBDsJfkJB#}3lgMRYMQ%ziU+TMQCErD7NFScDN`p$fu@z> zC!vR^up?W3ZY+Gq2Q?6DYlm-jY7h*#2wPDX_WpMJH>OMVT&vH+>fsImpXQ*n_sS{`ug7?W-0i5NIvNQ-8kNC5R;B$f{n?w~iWb4zA54mOqFSDL&^ zg^lW$=HD7xfT8Mn_wh?)IH~Sho$N}5+0qJ0M;~|i9wgBl&=L(>IP_EGhZ5kV$~Wzv zvlh@2%jC#@i3;k4tkr@?D9~N^)^lH}8zkjQnIDjfh106PXiait*k<}9aTk|2ybQeV z(6B^=_kUBiH0jX*-h6ZG-C_+*ldlD5KQa1nr{VReOe)-JI{G6w!w-Z8*?%9LAb|6O zjqg=DsBqQj!fk@5FKFL5U^A&h1S8!eg%V0M*z`0ZelYm|&$~)}mm-3$<*wI_#tHCn zr|z5LZ+0;MH|#*}_E?aYYc1VS!qAcRdS2*LH*h)l{iN1lBOj7s-hj)djT{;1Vm5x{Lw zZkWE{g3Fv?Y2y{QwA|l#Tkn7$?m1_6A;^dbkDQdh^HXUcxc}M6F|LzP zE2wmXawQ0EANE&fDNlfbHQQfXc-)Y_Ykf!9lQ3A>N^SGkN`hk7aR=QjHTc#Z@NKV9 zAlSaIHZrsdvUjrfil71~+KmuC3X$LIS^sL%(agZGfBQOqd@AK(N==((WUPaK6Ei zJE+VVv^9V59g-)&&UlNodK)@49{zPGYtS5qc}Tl-&P0HYW7VGX-SMDxZpLm%DG-`6 zKC1gRg@Blqdt266B0MoZX2ieZ18#mQ)G3Zouo^L0xNMvR)WEgFeP;vVittMPPP_gL#o{8W-Ot*`Lx{Vr3h&0m+3t9iUK~uDdCyS9#Htj&uGXv4EmEJ=em@V zAYAE({=^S&__auQIpaZq@gLG6w@;E`ZSeHDqb-(DvUBezf=(DH+ijaHRwqNTNkn75 zy9M$!kwi`M8S~DMxqVHG0vTzO%FFJSC|>fucU~eKOvNOnm6DR+^76&~)^D9qjqprj zC@~T=m+tJ~u%d#Nw&Zlf8xwrJwdsAeZ!q+1=qR^HO#w}AvF%1o9+=avlBU9#*Y~u0 z-#+W3!OY7mzYNx`VG2vf;uC%0gI?)d!YexLc-Hc0w9*q{WUeYDhM{XU^^R3W#A%2m z>H)rGk&4k$XCtT9;|1D7^sTOPG0fMU_yOSW=R3=`Bby#JB_`E2<@pKrxM+SCm5 zaUoA^Vf)j0zcB^|{2%Zsa>c?1&-<>Nr~EPUj((}2QY=FBmvARkE!NQlROv{QdK$ZonoNw6wP* z45lWpq>r2+gWHRn$UA!&gL;{s9#SWQah6$<4}(wMzc$pIq`QEfOoLVxdl0xQoGO}- zNP#`~`^t{oR)i_;tLttXh~T)bwTb;471XM%w}wdD0*l4jsO|k>up=n)5s{&nE1i4$ zs}cj?cjZJtqE9eHGU>DQsMA2AjW|Eb(7(_V{~Iqq2f>|V#opds2_W!fN~-UlGdw(h z;iP#_2>6}QWWJ=I4Aq~uC61(c!X+(_=NWwA(7yZo^H*ocFg$*iT;Z+@{STEs`O6St zxa2j}PBQ_DHm`&~@Arh;=iJjTt25TkdL0(6nGDo9<0oAcCcrDQODV*F2>X8ybsRLN zf_!Wtlpb_|PL9h@2$^IEny8@}M3do~&%w2T1q-O=8xUssMgm3SuiNBFRG14DP)^DB zg6}^TscsRGP_2diVj+ouS27AA${)OGMJZm?2AL(|0*(VzQm0uiU zWnuW_FQ2R)VLLc_obMC$7zr$U0)De<#lzESo|5S!=3q3^pv4>+4ilzt_K2F0fzwBD zX*kLre|Jxdi)%##EcqPx{vr~320ky>`k5h3Zs8+g+67wf1+Fz$=%KKO>!TJUADp?8 z^m5dQ0{krxTE_Dn!Kv`Hwswyh=x=2mTYXD~6GfZzu$a;3A(2H(dS_wIY133Ug9pyC z3ykEKQDArQUCJIuGdRU7xcg}u6)1xe^k9bXne6Gfb8CYm&_;9>ob2KtWs}89VlEk2 z)LCwkRz2_x@s8{0J~D9af72rG=MSvz*Twdl@5SidW1Vd5M9{o{en>H&1XetAb4fpR z;q!*Q7ieRQ-179lnGs@YZ;A?ZRVn4pYk6PH0l1RQWJNP2TK7HU-H&u-^*fXe(4_FW6%(8|I8 zqDh|&{dbsAGoV$j6K;D3Sw2_TMMlyV7=IPcbC66=+ Y|IFOyY$dyv4a$NC8Tv^ez!WT z-BjV={T&7aQ}CuCzLAwb3XY*2K84Z+k`bh;V&#+|7`dSg5j{eN)2V+m|Nu;)DK2uaE+utLd$Vr9EK^`wUb~(equ*czoMH1-f$Ge}&j)y*XLviP) z=RoSozrWQXRQN3lv1gkoAU68QFSgkdyl!6FU#v}myWtul=FU_o>>81FrrAK$hpNc7 zj}%y8*&LMki1EArvh)T|ComJ=W)K%b2KokZ(@|19Q0AH_S)+Ck68yFJu_pzd%f?yy z|E0n{rPi+R3U=`EElY|%UVbJ%MC)S8F5n`EYDqU>7;8Wm&v~yG>1kEq_x-XL; zh4}E(<6~~1-lFvB#yAm@+SF=q6KLRVQW6)>;QZkYYVEol;qax~@)w^99kl8)#TV#a zaB-hlx#D^_@J>ip>FCknpXRY&#v@jc@h7=ayDbW?4$N#T@}+{aXv&Dlye;Sz2hf(? zqrkZL)r9tkcu+{ZzvR{F0^thF*Sh~k!Lkj-t`o=*aD+ME(bf+hdp}ePSSEn@u%QV@ z2^l=BU6^As!_lWV+)eC#7R+gse)f`e#Hq^dERTB}u)4s2Ku}JB(CHAN>B<0KxJV2d_O+9iD}d9l zir&YbaYy2lj`j`A;aJ!9!tLSvd{86mAKx|Ljt4xY1uf=daAC86qP&GlRp-_(UT%fc+`ndF&9e7y?0grCf|7vnU zlAEFC;~jx$q@XI`EL{Lvd^tuZB7Cr-Z`L#*#}~WW`BpZ}7C_TZs?5NuCvu#t{e16l zBz9i5OzU>bhqln&4E*cg+li-kUuSKE{|k7q;lxw`D@7_KgBN2|qmX z?DRd?GiQ;y5S4gfB_C{AVp>gixMQzw{Aj>}6}nJgmwi#ofj4_OzgxQbFwV8C`e{8B z+jHc?Z_nm~aruqlQ$hAvude&-{L?^WmwC%O9#{m==YrFgZrP%3(3iN55kEAIuhcpk zUI?-pY1=!?>@bM)7`@9o7@2y+O;bB^!CgLLBP+ihdfSYZ47@eLWRb>DS(j}171JQS zl;DGcw=LF_D^D3+$<@)qk@)17;qYZg95qM?v{0 zRreFY7;vZd%H*+ZSQ5@}yfW}?xle`gQOEtpLX`_@xAUqGa5`bz z*Tt67S1DlPcQ@pqz8jv}o6q0v5rm5J8bOav(;)lhn)7EXA3Ri;dqyyeh$fU{6IRa*Uwuo8~ZNK6#3DBUctIZ-t_uBhGk!B%p-;i-07Vq^7!wOpvm+nPrQ2 zLSe=B{#{NUSaiBSXID!iH1D~=LT3%e!S#ZJ+`V3CvTTw4_D~wQtInjJN%F-~fy12{ zIzec&=Zb@9R3@CyK6Rm8$qiMwg)kYzuS*W~4ZdV;>=8r&8b#^ihJW_>ygQF=bJ4*4NP@|6_dcWeA4OI^vdNdlSP z+U;dr0XWT^u;$0*jsa}klTCGb@N@0t!#jS?I4pf2FD1quSsJ;74N8(AQ2)8T>t;8c zxo>@;%P$nkIb|1;CbD7Q1*U(6ERQ;H3hoi=i$7xT*A5BW^E%C9V-|q}ZWbeU9?zMl%d;(XN}C z&4er`AN~U^zG%cU6YIUn0@WMVd|c;0e{jL$qAq(B$Ai(0lG`{jl>-xJOST&Bcfi&6 z9F%#|f9Pg#qs#PlE;MSTwt9l zZh^sj$?DlqwjO%rZjK$^d4E9BGdTi(o${v!z08A|Y~#9}7p>4nDsoy-(h29Nzv{l_ z@ik6sR;i`1;HL|9AR@b98Gi_%cuI zP!aaU*@r?$Z$D<-S5rO<`C=hR=IZ2sNpwN(9}Zkr>On|S2;ilCEChwZ?%uY)j_7MC zxV=Y{fYqN(*7U6kVAiYU79qnKEpymDv)>89dtnkzlV8)o^7*fP&7kl1lNjG%9ljmH2Fb3b=J-zc_Rv`%LzP6lV)IC6AcwJ090^L7`zE7^q z1F2yqe$2GP#{19e)uMyZe{X8o$#>b1{iMARaPhD zv5%h<3b4khtrf+r*HXapDBHJL^g;Qi&Nr(HuGp~as`q=(49F93KANH7g+5QK17bRT z@Rs$EZP>PWSbN!bk2D#GTi@w;l|6Pv4mkqxQb+6$S0RXU`Nf7<6WNlu)Y6jwa6)VbXBmw&MX~`FZnMw^7j|Q zf0D?2t;rTgPS3dyDu$rY*N-;-fhic zvqYlWLn~?Va9p@an)df9hK_S-|M~El;xs9q<<6Qd5=^I7nJ#6(f`(ZqvE2{5US{ia zJvYNO`}gsr$JtQC#A|br!3Q7u$I_Xw)5FVw2f0Zscsic-B9&UgF!_Axj|E<;pZK|CKS)P?q6;;==T zFR$2m%mc8isv)J=ISaNu-V*;=#{hXb>$Aot9q>y)(_Pq_2DX}d;^PxuSmolHfIl)( zP+vap;k^j-O1aL(Wgd*uD_vr`Ishx9S&XZ1?@u4J@3ro~B$Ou{rq-+NEJi6|V(D9@FWh+0;m2gJUo zp>e1Uo6JN2UOumT*iSM6-T%DXL(`RoJB410-oI^&**`1{U)iQ&&OcXXc$kH67ALFL z_MC=Wq7Sc^S^MLjLq!s1B{`^R{cg~-#S(IF72tIy5{f+QO7Z)Wg^WkMx&34G;X;R< z@>72T5(RB1n$PCoN*nFh(OGK{F03kT%Ozq*Y7jN`&m0tVJKCL~WeR#CQHdA&f^gSg zx4y!ZEIi$U$ED3L;39>6iJO;*PhV*t^QlQkcJXSKCj-GKX{E*!?ir6lyZ&pmQOd^h zBcxwp5l(2#^{Ba{DH$U+qeRW0=ORHnYH{K3wlDU0##Z^ppaVHX!AUa<*)HFHE9e!8 zhNj+T-+qy?X>0#^h3}bIghl?Bo;zaRp=!-ODk9cooQ$Sx%f*9FwciIR%3v{R*|Ebt z665m(=8g(w;v>CBWTtn1nEx>(??zXcY2Kx0AG#kvraQ;g8 zwd}XC+vli={d+tIW1AE3d73+hkGO6vk`r9?Y%}ivX{@kUI5`^8jV|izUC2>&w_&sk!4HE5yA))z&~bOiKmQCf zoa!lkV=A+quY`9!SN@ZY;q=NfA}ZEkaqTp}O}9V(dl@d3&7F<(H)4d~t{LPPDXH92 zBj6g?pY)5$Mt(g%nHW(^=zX>>IJZW?Yh-!TE0~L9c`jX>EgH}nT6wJ%7=fDpBqOD$ zO!RrfXT5&i1Mdn}+r$<5Bb)aq*Zw0#I9nlc^=~(E0mx;mg5j+@H8$)O#cw#U%U=b)8a#iz@=xiQlMDgJ9FeH%Bqn6D7DQYv)hoqU<>L*nzX5;7;GDk}>It-J->jOQc*p${d&L zGaU?P+EdGhsoe32u&J8gbPfuQPU?D{426nW4_3N1cht8Ye;AvRi-u}%etF&w1?xr2 zKR;W2@&3qY)6=%gIP7ZOWOFMJbQNY&dl!6>>Q5^(PfOl5FY;}S=DLGXUb$m@aT+GN z=EpV9J7B_yKX5gC!<*;;bxj>A--w7 z7xR|g3*N;R9$#Qf!?v}yYR}#RY2h7}cHsP;mO1vL?706Rd$zvna( zCpshWNE$oSPK7+Y)qEo_eK8EIth_no2*H?RI8Rf#mWw|Z9&|0rg~4!}hTdfScD^Zf zU%VWehgB&DH$Gh=!CzAD;5bL7* zFemG*=Cm&m7rwl=wZD{){f0EVTf_n&=g86@wYFf?i>}?}a4!|(+U1E1*OTB{G1oCJ zzCd^;`JP=+E*do}lJk?*6X4{9fPG^H;V{D9)F+w{iW50^B|drvf&b2>c1wymxCE>m z$!c=IDa*Th`Ml=v)RQ=z`G6nWXpB9tY{cNaeuK!t=V4&Fbp0>Olr8SW{Dced?a{+5 zCFb1@eTW$xp2+3V$KP~&y+PCtWzJodBJdc2>+B$#u-gUvK2oV_GwFg_r}W&+)*Yc% zl*ZtRz682VUg4@TqM&y1Zmj_SB;fcQo7d|Z4RlZ|@uwgPPd*f3<@}xi>y$k-R(urr zZ|2vS#fxac zBal2zE1|H>zm{GJTgjWzkf!y4`Rz>#?z<+C&2cRWnr;`kh_FS$`!m8keUZ_4#rDMa zsZS(O^LBr5j%<&edJlCrGu_blIG>XJNoV-W@a+ZLE>3)MFzbp`6N`LOBif>Y`@}Ai>su_wzS@IL_v{TP`UJg>$=J`*$V5pIdAi z(jHnca71U(l?91OIKq%=zk>0szxK?OET&xO5wL9HGM_Lo$ zoNdu!(wAsp6y6+sXP7a4qKljPXur|lx8!?Qt-%|yE{UB6Cq*#FfPqU z1EppE%0c^ReEOZei}WNBn)4o5CzerQT|bO(XJ0g)ePy>Uc|Q>@G$}TwU8I1#>DpqV zZ5VzjcxYGqG6D3O9wvqjM?>dvPbUU-1FYhi?^BTvDJ{@rGCYoGS+8Y6up#1wmYo z#IKb12{5c{%UgLq0HvpiC*(9EfRpQ)^sajmu=Q|cP~;NvD*d2flb4ykNv+KfYt6`sYEFScB`D; zqyH}s_An|)vh=ut2b*oExmP6I3Gli=dp#afZ$zHDWN!~|O&`)a--v?UGGTsoLviq6 z@}V)uwvQRs%zUUIZ0k~QLIcf>Z6DanZP?c1jelF_4l8Pr;om3?>uPBfT(wePeR@C& zCZd_CIJ^B|fGOZBJ9R2#UpmI^xz7X3<7aqI{TB+na&Ll^OXFbrph#%?I|o?gN&j~s zB^++TAE*fuUUwIhVBTQ5 zr=rOd-hL?)@MRB!(7ZC6VD1F)ozV+W*LHw~I-qOviv)xGfG_#F@sQLYZlDhK@btTx zs_AbE%zHbJMySMr;L8rnDP{-AQIwm^Scry^GskDij&VS>=*wd7WeK z65feW@34^U6MH0qX$#!Rr%s>B}Xw zeXRdGuF(#UHe4@NoeD;JtId(WE{KK)HiW34bPO?$un_8 z;FFuL54~Ea;80)Lr`0>DIQ-{r{`2)vWKm|MEmfpoJcIe+@O^2RJl4%99pa34E8G<- zEh6#Z<7ZnP6{)B?)0pu7W)zxi8XVraClPh(nOwZp(y;2-&aY$skvKrrbBWa=7MT=& z{^8P2#f(f=$GUufq_Y#-8@UvTys7-9d|9b@Ou;*Dg5rg;<;Pxa)I{RON&RjH+8hke z5!boYt_}wAcZd0@!;r=ZY?EuY`S*oh((ik;SSIa8_iMu+i_d0;9XHCvzo9>GW<4`S zej%&pBPoISHR_zAc4jsjnZ$c*xr$-J?6X_Wy)jB5f=R>!d9l zRm{X64yqh1SDet6QhO}p)+IEz6+He{B?s>e3~8v#>BI2xzp&g&#BbW&H;|lz+-(() z-c4)4#USpIvbtZdW{IM@|>>GJ*rJQ9AYN#}DGHhbMs7?yRxwX3|YIZ=st zw(O>1!^LczYP>?Lk*@>_C(5sn4)~*bh0)Or_8fe$^?B|Yy)G>I_KB&c`{O~yINsL} zvyqzmLAz*$8dN%)=hYqd$E#bnN+KlE(Ol<;fqAwQzBu>hAZ0NWgPY&QcfH8Q#=lg3 z5m_>jPdBkM$R`@xJ1+lLw#i3jq4}s>2?F#j1eGR?CSd+2niT=#e3Ul*(&Fjt2VXvD z6qqSwV!F=F;*KYm@PlfyW~G2NM8D{>xiOWEd@6%yj_=Gt9MWrh z8P!A?*M!p|Vfyt9?}S4%f|-gnIDb{`3K6Dagrj>cBJe<|uVjO7F6LiusC}2=2Y$W{tClCSag9>I z>dae!O4)B@Z7h93xX>sU!_#n8-Bp}vEgxe(XL4;W`$E0`FT%#_WaJZ>t@r(P8LzyN zVo)3)f`=Thfr$$us#}kK=GNww~A!k%tS|5H0LX0nw@(619>^_)JQOytyt=#83b8tnjC09Qt1oE?(Z%Gz=;LMGI zGa0XP@M>jubAwa})Ys>Slx%Zl_;*dV#BJVGt5+x(+|C;p^N1JEsE47-4p3KG92i0EZ6$JzF>`-NYm>cG)fK>d)9NfAZ_%r!*2po~Mo0xgw zhHKDwMdI(aZkRQ%k-Ywh)g%wkghbOTD-%I1iSE*rcr-Hd6Ex?l za*;~4d^|Hc4BnStX#3z7id-k6g>vsEBl8@qFAF3=PNnF#<|#KAvXx}D7S~5+9l>2f z>>6M?b%L(s-$B$(Hk5k&(GFwSLp1F2jNzq+Yk7^AIZhPcqQ7gZhfPMw1NmpwKz+}X z2O4LUkR&s@oV`FnqpCe=njMJ{c;uXlB5gRF=KQl`ZYu`)rWfweG$jLP>tVg;zr(@$ zM0y;jSu|Q4UE=JJ+~(ysbPm<4L@1WpBPGpeig^;0SMvF05W8b+E&SVIxHD1kG&75U z!IIpctrh~{@BPkmv`V&ki_g;Y0hb91v+llQOJf3i-h{5G7)s&m{nTkMSmUt%n4IBB z?G$*&E61+e83cGesNls=9PZdTxWPu741}#mQtge~`zkt>NBwBKEi%l2Q%xI@j27H>#Q zheBqN`tBJ*9QJnA$G5yphRN<1w#phL;5XHMNOvF{Bdea|&TJ(@&jU_W=L&|{EFXR9 zV=nmQn^6(h9(VX+IqCHFmNIY+F-4e~s3Nh#c&)Ns6`V%&i~XplnwJ?(eV6V=VDr5} zHO)OqphfvCVE4(i{cO0r;tdlJEA*)4)+GpIj#l4H<)sdG3)ED74E zM;^blj)1W`Dc||FXf*EiFq@N0gw1c~jCJmWfL3fjKGhDxx{j6Jk{wC#^u%75P1X77SU0Fm1!i80`Bi5UMGk1PdZFp;Y1oc$O*KKSLdd zL+%G(EB^m}g9;kO&tE(s#c0UFG$IC7+N`?X2qgm@Z-`X%)kwHGL9SdZjKS~;1}XXI zB$&!|ogNp61j#X4+B@6tvxU5smH3kcxszLYc}F9mS6=HN!<#rf)=3KQcS?egz7a2b zaU!_edsSO}3d3ir#*5^SiEt;3s=VYl8Nz93{x$AY0M85y{hZKXkchJ6Iy6lI&GOV7 zfeaVSWV877z$6mZpJ!2;szcxauUdeXw>dh|P3UtSbA%rsjJ?XUl<|jnXohN|Jr=*1 z`@O5%9|qU%%?E{QLXWRYhPI78@GQ49y&sE#=u1rrV>e!8cq>lxQ zDf90?TVp_M{DtAAOb^f(w~kb1_lFmvX2TXsv2Z-B*D;=23RzDSu!x%mLG>-SC+62E z@a$r3)9;{*Sa#^?ba<{K9NIbK^xpIYoDr8{yb|Yxsb)W%xU3@Kw!_0A-vxj8Q{n&6 z&cPVU619V&DhBF*$r^U{#lXW{`Io5ymSFhP`0}fwC@>o5ndLT$f!8%w1?7T1D72jS zAZxFMg5exgao~hlRH$kQPKa(;dA>ghWf5}fH61rCP zbo|47z*79G%vhB__zARrdiWt0+`b&v@RYE}`Hk~Ti)CRD6ZO$Rhmj1UCYt%BO;*4X z374)0#KKdF2B89sg$@tZ(n(%t;G2kF3)zZ>P_A13-5+CMph8smy*&ZeMRcsPGXo%F zwLNi2I1YGicD4jP@`fn&>+1yJ5Qv)BQFU~Rf$(XLg}uj|;juDF;P5Vg;H|Px3}A_a zFEQ5E*G^c0?P1Yf#sB=_?2W=wHU2ob$Gr6=Alek9Q#InvUdBK#f5TzMpD|!0)o8mA zZw|}jB&{|7SdgKry_*ph3vVNH-dR|gf>_b{=>(lvxX5P17ql1y2D{bFEt%|q_3WsW z`0j8xpv8RZ=b;$Twi6y*UiF3AwkuXkKLg?Jk(eRcwHWYu^!Sn@M=}a2)Qs@&^~S-v zzEqyT1SFh0_&noVI<^})v?Lz2MBO3-J!g-2)Lu33nHq}065^xa0x1#>7Tt`z#Gi_u zI#qHTgHd>%JwfjM3JJ|tavfecW#C8A+esg{Id!x(Fu3HiGq!EnOIP;CqulRX->vu~ zFjU6i?|~gAxFPr4`EO)4T4b(v@JU5t6TQ^fP`*1duFg*UH<5+AZcl#jAVnifjDJab zvIUsDQ<*(+JqLZ|gSUuXS?I9$?topMKDeZ{jDDw~peXarvr=hUc)C-V_4S4aoRi^^ z5S0$YY{rYJ0V3I`7^O>8R?{8lE5efQTbq{>Ja?!8c z%Qcep%tM zSrR@QQiX@{h9xsWN_ePU)<5W=DP|l!?;FLS0e8QDDa~P%#1{URv$=H^XmRIPXwkSj z5boV`4E-*PhhASkQUA{h53AIy(T2GLWo7nZs)Gj#(=rJ>9wVUTxK{haYr)_aMsU)&qk}Oa9XbkT- zoj1H*p25hO6;+)sZDchm?ROG(g}sv}9#g3r<8qa7Mj4GUE(#D7+GR+Pu~d2X*Ng%N zxNz0bdL-ahNq}4#wLfM?+vTnfBqF&^DVC1M9~~}&_btOP;PWy05KV6e`s(SnB6?w1 zbl{rK-lL&u_}?*?-D`)8vGypn>!F)5*qg^paQP99Kj#dzABX$luY=Yz z9|_4=KQ$22?3If7okHy&S8cH#cw&DA#G+ENioW|3UxcBbDBO%fpYo`U~wbPnurh9%DAL(N6ZToF-t#&zqIwmwcgr%E~P2=w*zZ|Dl}!FB4nh zPTly}Z3OQb7t?qp!;wZ|>PN%l43vB+80f&|0=rLzFZ_prC}R0CD#JVz@BQ<-$d+yc z+VmfH7bFBDZ#JtSdCVKn9q^;N=p74#38AS02lMd$n;qZz&Jxh8==-p8W*8W)zPWjS zR~|k{=g6Opkj4a)e#_x#b9hg`bgS9g1>YHecpViJf|~V770u=@V7n9;H6v_+lLgam z_8ufOyed4!qU!=QhoAQrhU($M6Nf6>g&=&EFRdWH&jn^|^4VgejBvVj9|obo!J`G#S{3eK*F+xuExHp9iDYQp2wlJ%lz>-0R$`%R;)TB5CshMT3;4+9zn0;{gwRLf;jrsVh>ZaFTCi< za4$9VMW$2+%9L<8riJtO!(VTtnD1_MZ%#&O?=tycZOP~yrg?JLycHH!KRfNA9gXSF z^0WUj`s1hNp$M15*7#`Y&p(yN+4xN4r(S7>H(tyXOXn#(42o$DBM#L$_?1=NYo~}C z+PVI`P+ac^R#T%vd`6eCWS;pPhg3SQerIZVqGJKF$@ZQt(*9U*tfX&_MF#)+1Y2|j zx&ZTzkz2c_f-vyQ*ZWo^2MlOSviW8k1*2VI<^Q&MzE_T(<-c-v^wc|4olorv?|;$m zcX=6vVq>fH)!H1m|NhfIga&KqoDNG>^>x8mx|oxehAQCH`@(gjG82*#?=DJ(C!lu! zf>MU94a(Un$sX1A0qvTg(DhT{IDSMEJ~S)gNs*6yve$z^!g}`0o9#Z|``oO^doTn$ z&a^P=$2dUIMvl4#tp)xOo}>CkNyA4bCATD7&Lfk}W38$ANHp(hoFJ7ZV}#K6FPA9J z$P`=G$|33kySScaFX~h9+lskp+eKHzBd0b`Gsfa;`TG+Ig6^1Dn`EAnXAaM6pN_PT zL(X$V)U6z9TbAN8@Z1XjJ6}R!H{6sW9;vDK0&W~On z@*5G_B+=VZ^}Lm7&?^%HG9HK`E3c9RB8G6jadrrN-oJ)(J@78*7y%8-baA<_3H3c zbs};|kJX)ta6<1pxlvadjPcparT+Z_F-YPvveIbxfez`KJI_ka!^&&<#6TTo2*23# zc>a(E@N@8skx(=~r++rcv%`#A~KPFmhzKI#t55>-bSWyzp_ z;VnDsYC7sv-l`dpv4PkkhCH4*J0>mWS$~j=2lG0+9-@FJZhkIP(W(tXgU92q zYmy`3ajWCLBRNuNa_n1p+FLK&DOXqXO~w=clezg~q$>@d2;Au2rAR^v0qZM2+|R?- z4Vjq=+H|ZHEkFG@B^raJ=emxkkU+gG#nraP2;XRC>TO(3Ld@Z1~$7ZoM=?#_53O^L1DGm{9s)~e5(L=HrPlBV)dHv#+C96H|L2}7MD3e47e zAz&LGaQ^=7^B~yzsfJf85C_FG9i^;dp!!%y2T5HF=>!r#t`8i=@L4Id_TRqX_R^h= z#WesAJLmRIN2g(4(A}S<|c_~^Qb9Qh}#*~ek)5HAF)ESDw6neNgVo& zWob|y_XeKXz7ymQH4JCXwxS_Zkl>>!+T7#@%U!amX9Wmwzsah}P&WbPBIJg3b_U>d zv4_3qp8&XXUVtllBo4Xs<6G+FBGBy_$D^~m0)S7S;#l!I7CUot3eCq40dvkT(%QC9 z)~ffA-Ff0Msyz1D^>0o{6ntu1_nio|e8imIf>6A&=gD!$;V87?t&NhHwFIVDk7=?} z!m)5yR_66%Ay8FZGWh6|JDi@mpI(&26cbDq)J~T6! zA@d={fYaUSAO(&RMRcKP8c=jojwThIy8NH#FP=sw!OJgXsJ$>w=2u?Q$z&|jrySq6 zormqk3g_<0Ib(gcBk{nSXx!ADzHz?7A4(J_b&@0iXT&ms8JprTG~m#LY>+ejcO~PI zn6M-0d=Ta)c_ibN>6!a)j(8!dcs3{cgEQ>yU&|QXmxSN`Sj>k1)W?~>J66ZloxmY+ z6i)p}!jD<^9VFTeF{$@4{V>TNr+yVF?^jR7zwP{doWTGr0wOoJ_P8SJPNw#+775t8 zTn3Pw@;ZJr(S2lb;V*&bOIpb@;2ZUqyOMihH{c+K9(Yg=Eu}9l!>k_RDHxZqIz7!2fLyZ-+{(ui(eXwS_rD!k zc!VhLz`31IlVa~qFmt3Lwemj>)?0D-XSeXM)|KsZeoyON9!$py+Dp-DmoH&Vi1%4t zS2OfkPxwb3&&2&5HrFimGSNnDc5tjO1n#lWkJ))-rVk}Tq*+~YjAPDry|mBu^}MiY-n{q_e<-Bd zF%oN@kl>C?MX8t$5&gxdPp-^`z`kc&j0?>^VAv5}aqo6ErlgySOp+gq zz8FJa=%`TQgb{vBza>>e?SMBX3U41gYy_FR%BzDy`QEu>v%@AJka}6qXC57{BNKpQ3H8SY(bj1OID|$g+XzC*{ViI()c9pP%!x&=RGuTV$%m z>BGf^XBxZLB+*&bVuV3OZF|pjGQJ#FgSuwBnl@>`*_Gv&TDE3bZ!amqt)ma)rj9Gp zdE$6b=2Lu4uM--J_+C#)LBr8mjLXq)WsfMIxWuxN~qNUc$_KuL*?v9{X-}J`=0MxL7^J z-LR|l-qGjs5%9s6S=H{KAN)?044wT?6;~Gt6W)^g;Pge)FX7A%EH~!Sw>YbUhi4v& zv6?%A&woPBQDO@4r1(Y9e+#XR4;I95J>dssE*hYd zB~WrE*#pbA28-4+q`)k@guZyUC!CyMdu=`Dht>CFW*Q_6(ZBOo0d1Wx1bf0HHhiD%p+;Fj13@~4 zNOb&|2M; zykiaVD(C$Bx7FtGtbEtCTLK=K*IfAb?>N9@4w8pUDHwOZ}-{Bdu+$3B|3tmw8OUeu*wfV8yrD}!Dn?EZX%DMa`rOvdm{UP*BQ z&(U#@H_G8S6se!C@q1nI-(ykBvwTDdd+KmHt2`PNCi7Ix6NK>U*>S(N9JJ*HR!n|^SpY@3LIM;{6x2XmqDGv&~cIz zUj5d>tzXKJcr-NINzwsj|8rTqIV6K|vTpT-_e^n4ji2WCD;HeLICz_^qzHd*77==) z>`~5e)k1V82yZ=Md>~$L1XMlOYn88hfr`dqdqLT7T;BEWi`AqGR40U(4`2XfIUcdz zeK!IV11i@A2})29Dz@Y2X+P*}pCHPg2t~1xh;xx;<{%*Mxzx$#04|d(f_LIWa7Wq= zH4)2 zy(<+RKIogn>g}frK^Xh0^F*6J5k8ywJ9`vqf=SrS?K6MK z=r#67XjIY@)ZSKTG(6FVFB;cRetM&dzviiT6s>sxxBhZnB5ZT@6=7;--$4B7Cv}pR z-wM_lgda?CIKjl;f<3UE*brS%qRZ|+!|IJ1`u2S81TwO15MNa`S;5H+W%=Vwe(+je zIi9~J6kP(M8m}BS1EGDA@h8*+AZoZf%&{R9J-M#a9(NQYwM*~ z)x9z7f|Kg66;l*ZWRc)cAi>4GeWQ#C_W0I;N#J|Qw*IT=Tm0M`1RHAI+H56iz}Va1 z?SE(6FA_`ITwjvF`uab!x9`lLB-u4AWSeK>^f;T=qzKUIGe!uTH-{YUy!tRMHFP^? z?ymXX4={AIw5*hfj}IpLpMD*TcWb{F5Y9S+=XI^xOCc^WEm8Eb%Owz{qAcuMci6*A z)gL~Jk1oOi)#}2j6(4jtX&*haZU&}4=DLk_j;O!k%zu3l4G>}$ruSI?8YWE zOg*5_s>9&^PeTx!<`c~ROUB{3-o$nz5qu;nt!I9M1XBC^JsGuZvFG%_u8X+@aFiD_ zZJY?i`sLhbL2CL)X8FZR(-;VL4rPxt?EG-}cd=ONswtLQ7LQwO14ctu->#|WR_Hdh zDtCwIi+tUG#@;G~z}`3e#5XG}Aop+}!?h|RE(t3a+`T}CTdrj{=vbTI&h z+%3fBVoBf{?PqQA*$MP?9~~@cFu>cMM83PpBv=l4P2#O1q0WI%gQvH7Fja8}mE?>Q z%&qHjg>TOthh~pnLU1s4sa4Z@$2x*irn%I0zcavjtYdcJPyh}SIBJ`79pU!+DS@?7 zCuFl~@n*Gf#N)1fo+sDcfci7h+9xCs@9=UY8rTJ6>VMtwsbdCkD7|#l+{zQMixU2w zmxMp3I$s!-E2G!SA+d&VFF09jDg3USgn=p?1D5mlkefARp0(%<(p36wak@mL?wVA8 z@WmY-yyx{-AFu$b0qbK0Dnz{c^kz8KJ_5Y$iz})MF^4tb51gi*B)sYU@V~u^+IUf+ zXm{L2Uyx_nHD_wBhP5!Fly;d2#*Z6BXx&5cA?vH>t*W}X<2F?~`E>}S>6Q5|pYg}& z-k85y&F07zdhgK?T?kwq*)lvXYJzxo7Vx_-yAAI5Nj~|A*Hfs3j-s$cR zmJlc{?-NWj4Msi>Rj=w^Yb^uPFA?bY*(*ryem+Gu0Hh33C2Ck z3#HR;fhbfie6XolAD@)4M4eAGfN)PTN0XaBj@vpklap-GhObN__KYQ5wtH7`fZ&gA zM&Cu9=RM(*CllTIDSP-H^()eL!5e)`EzUTv6QT8#{Nu$cOR!KkB~6YKkZSmPQb0u@ zJhA5PUY9>zvtb6^@KG@S=yVeltt2UBKmtCOPCEy?TmH~8L?(b$*AVFL{zoCqE zIC|QhJ>T$24$m}ec=;AY!ec4_))UJ_By0!YD@JRQ{Q8 z`Ghx?C`8K*Rz!pJ<0Oxz4qw zf?Sm5y~T3KoH1s-?}Zao{4HJR-{w@~7-ZUM7J#p{R`@pMEb+CZu3*XzZJ;oXea!qr zK(d>|*&1Ufbd%6t*Gn-4OIri=(IyVrP{?vI=k5mr$VSt2|JUG$@$F%>vae0?vozPK z(OoW(u~c!p$2sUXw^F0QRIjfnnI!=7bo*#d-SNS_ z&qgfqVkD?E8&&=%K!&89kyKNb{y5nd`H3$*9CG;sjV?`*;Z!=u!!MyWz;oq9p<+!q z3|gdwBsT}5`W)wF9=;&7vUF&BCA`h`(kw>0Jm-PjQrWbmM8Z#D{_s(Ad&Y*iK&!R-l2_N;A z3{A58fwxuSyR6>?AUMipiifyjBkdzeUGHEpFLUcZ799W)OL6C;f(Tf8t<|YRF%&rG z{#Gy$L!f=UF8&rH0W1F;@TS)025F0Z*IdHfAoko{>#a;jc>95Q;?qlC_}cPD`D`5l zlN#@|cevTWhQ_D;O`l?+H(eqre#8m?&9m=Q|6~AE-No@_zIeEGqSF74^cjp-d{DSX zI)^z^`)CHNqd<@D&P7@R5gb;l_3!*PLJjNKlE|JgxIvcvlMopK{ZDRaRs6ESFy`2k zD)VHRJJBuj!z&Ej8T9L%Tbw~@^*wvWn@He#>Q|mOL_o^bgDuPEE!TBFU1V4n zcgPWQf&sHnK`CbfaL4aNZZ2UHl+e=I4yXn&Art1^{LFE;{?n4*+k1AJ zwNRI#T^@M~iLxt|GSDX8!+g}+33LDB6m&KXLhr`eEh{er98$_xrOWXIh2jkI)eru7 zEK;!Ltg|N8=07>dnC1)D2~n1d3`SUCoR&-%;t$LdE4+8?2r#g_pt!r-6!#}qEyeZ* zfFJGW-5)B0z@+c3V(PFBD$Dd&4eSmAZP!vK*47aCJL^)#CFq6LwGz&x1D%R)1t+b) zp7jO2%^n%*84sAYe6zRP#uX%cqS}8Ox}sYX_j>4@D|Ce(9@_aZ4s4zjl6K#*#5RN9 z53{}OfusK8FV3C>7}4K-E~i@p+{HMTB%WKsseNyBre`C7s`qKPT(>)D3UAnpOc=r0 z{k3Bb0zokHVdaz!BN3Fz>!j%OX23&zNksWQ5z?xe?aPLU@Sd;l)YmLOi2VBXFT-dE zOuk>`s5;_-tQ+ra^K*&lG{_s_Hl>Ywg{s2}x4CMjDacr8-3vcXoI5JTZ;0&^-(E?c zbOfn{eA@VD>bRlJJe>d41o>wOUnAnSnl-rkOBg0i!HRL(uwL*GGQ4Bx41HyV``@nI`_&O@z34E1~CX7vTN% z8MYdcAgH{^A2Gh}0Vf{Vt#D;%gFB7xELCwJCX? zkS64R6r6WFmG2wJBQjc&kSK*pWR;L{*|PWEdvl!QIJRT&y+cD$QCSU&uA(TLvic^W zR5GHJh<<+m-mmBNyzbY1-Pim2y#IKf!T`uH-k@9l?SM_bMpC7XRv;*UsqiE%5e(kt zy6(B;1jg(4&*|YQ=wV_N@aMF{gO1}-1v`A;>^qlZFP)=++sZbL{M`X7knciZzbm{E zT*~Aj$H0+S$Ai=))X?&+hIs$DH{5OFd7$tx49-xp) zpQ(V8|J{{1ZtH|sK2f>l(T94kz59{M42P7V8mqAxev+Te4A z)gj*Z`ygRtT5x$A0p6^d87b=;;k!B0Ga-+yw{rjKgd?W|VCB1{SNseCVpDHRK0FW( zR-#v*Snms7Lt+#VY) zE^i6>4F^}bo}0tq1EKYpT3t-a*D1Pf?*x;KgmPIqe`sEpkuLkBfeweX?(41xfI?5+ zbC9iw6oUi03vf8^bcs(>#d?6V&;Td6UCX8)0AZvPp#&_8(xh*qk)O0X9>=R7(%A zt9Eqq9yCDdE596Ge04(=|4KF27H2q`+^-w&q>75IJHJho_~P97;aiE<%pp@wIN`d0 z7;rv7Up(Z8IfS|^^7rMz-~)Z@s)!DTxLd~blGNeZNZ>uc3*K<8d|sSY>Npgix!!j! z#vRoA-aRDExPeCw%k;vPaEM_ea+6+RJOHge(+-jySMx6d#)P* zYbj}gGU1BX7Jf&cI46!*cK_aYYn2G+kHq!dHPXc=O(Et#we4~DdAENC7bD<%fWvYj z$J&z*M_R5;@p#~^owecCvT;z_y~*ph-2o2mFr<8S3&cN5nvcv6D&geb^TMo;h&a4U zdV2q1-mTPg7&g@MDkfDXmytT)oOq*+b`ov~%JLZZ(dO zbVaY~m!}c3=iG7U4)?_=b?NgeQr6&fnIT&CfFTy_5&s%?hltS<_crAZ8p7>AS=#50 z?13-wYDWef%|MY|G^4K12{hT0B455XhHSdARN)POST6WlrLJoZjr++b_t3<_qodON zKiCq0Zj}7h(Q1E*uqD-db5iC&KWlYMFTRK+sNf zze~#=hEXQ@$N4NAVIec%56jL-_@kApl=F@cXy!bgdsf)v3Kwxxaykg}WP*21#%P0Y z^*0vkM+1F!N742~Ly5x2FuX?7=wQUb3AzP#OdIAt z@XF)B-2O>2>WvLog`PG=9mkvdZb^lK?^2c5qWM;SG*CR(lIo86{~Dq{ev1W(CmU{k zJPM%3=NXsyJrLOoWvfcMZ1MBaSF|3UA=s6+>cu3X3VL16#k7yL@RH50)cR3Pu)OWd z<}9=2_aDgnrSdHCK0(dce8m{=o_Q7&#pMWHcREuEi;g%acv6~J}JPG(u%pA54Z~#5p)8CQ}2-v{*?|N*QBP73a?a+62 zgOm&zsX1~W-tIH_cbTGy2XvH$iqHc}6NIALKLz2n;w$$m2i@_Rwo!b{2M_pk>q?Ri zyEfkZ`pMg4I~A;Yly133YXIr^CexyvHi)exAEi5*2%Td78OCGAc#P+`_TiBv&>GwP zcup?`)HXnE?P4;Ti+R$ApGbne^GuNU zyTUK+?u>2@A<@7WjgJKm-Oe>X16n3kmIRd`pf5GCthVHb4W6LeA;t0d8MrpK%aM`G z-Jo;LIR=|s?{UW2+e3`#?j;RUG_na-==2lpaVOhlnvORCV7j+!rG7pJUl>Q+o6rhC znqxAte3GOs09Qb$zdzn9m|hr*bVkNK87d*D@T=^~(9S^E7v*E1BpHKzXPo%t1|pGR zd3dmYE&v`Gse0YAio*IQ^cpl0TRCXQE{>{t0z5vEym#dj3I7{gH9gf30T-oBZm?{+ zz}~@c?}wjdp-FqbYLA!@9Oe(U7A=iKsgp;gu^l)@W)yu^NZ3jRNwf$(G*Vs-j1eXil6~b|5M8EE@c3|Kmy>0V^8rEm`}3l<#?!F?xlmU)^pz_+v|%52sd)kbqK|IH+z z@qs$nxeyKa7rU$-LxQmT&h)RWKO_v(=P6IQ8UsAu zlW+CMiI`rb{rKsYH-|C*ups0n0u8A_Jtf5p*_Mx;_`O0zuNAzoZV(2;|FJS$co>e& zN{d`fyn&eTr(IxVB@UtmmPFcph?sXy;rv@gB3k)0z2W*D4k--EgQ3Jwv`#0)iEnxH zzg-Hu%m0MI&7++6oFl@pv6Npp{umh(Sf9!|cEka(`ng^0I0+*-`{x+yDYz|bx81-* z0{mJsDl5F^g$M55spl}Dp!t0HS(Et$u($P-R^jo-to;WMLR}C>{Y$B$6DGqOUPECg z_DH=!3!XZIvdt%AMPx8i-^8;>ccKW(a`-bJ9vI62wCs$XZCtaLc5Qn zUrQfTpvYs~fcab$o}|Qj8OjrJay;*$04)U)@-)O=ic)dj%k*ry5fO`FhlMn3j>nCQiQ$xsx=w8o4Xsu_68w; zZZ_w`)F@~lGItzJ_Q$Vv7sETUDVS^DvU`rkB%FVP4?qFvEaM2!8_kml!3gjh~x#RAS) z^p|w8y{F@g^o$N=u|^S4E1#IzVjGF?X&Ej*UnHVTrfb%-k|@~G@P;eVjYop9S(m=a z=7KXk3}DV)%L+ufr~(%?N+3SyX8N^IN`|%%@u#?Q3FxB1^i=pv2v!AEwAX0agW-24 zp4vyTxY@?|pVX8O(ya{K7Rw6(I|V1(z*|&2EYnw`Y8!-$@#$w0c|BoV{hQ+-vp5Xf zV<5lWL&SYKr`wqNJiy}gkvAcbh$62(bUu`JMkiA35uw;%xZs-TIZhXcWu5g$yMKG4 zZAY8Hr=(!GNGI|sz$*mr%d|^>WpG8=G?(LszM*iW?LlPak!Y+_G?R>>4@b_?AH}!U zZ7^87Yk4U;0;Oi<3|=HqaO0kM-n0)NNHwke>a8Op{EK^V>^A{f4;M^_`ujkerK!@J zWg?#4eu1}pF%)Bp)^0u0(?o-I{#_ru<4|^(?Yp+NH*QEYR>^OWz?Ss9Z+~1os&8iW zL~q@P9QVbQ?;!J4c2srR{ed3XK&Q@Q{>`&A3fQfwql7XkG5b*OLBkOoB-tc2;yY|co)Z{WU_8f}_ zxs;rBUflwumMFx1ncLdOx;u6qh=-{zQ;+md`FOE*&1UxlC%D+USTD83fiarFtg_NV z6k}829uEitD(j9zjkKxIoVB!#^tKQ~SJI(t%Zrwdx!>0iN(Du&yLd*a2qV49ANJji z2IH=Mxy;|A!J++o!54Bic4x@HjbJ8&o%8jwI_6B^Y;0U3Jt)MS^V%G5T`hn~ZG^q8 zFcPfxHh%7Wmx!Oj$o;KnV!%0RHOugQD!}P>UyG?6>=>FFjkh3e?azF`+AAAs{p84M ziv_52kfYFL>H@64d0JukngA8+9PKVUD0omwajLb53PE{{T!$C3;oE`L3wBo7nBRK- z=0(W>Fk*L!ZMMq+*{)3s&$T=xub%2uA2o;h8`@uT3!;IDneh2wJaW-;NQ!?Bh8B9- zPjU0PaCyhg&?rnr#ylxDlW<}Dn3|qd&)@@GT=8Rj1YEGrww?3^Bkes8iuY4N?g}|E zz#xBauDYUE+tZ`Ye+552%}{{7#Dwg3MYw{VG^n2A4mE1z}jOG3>wAxclWJNh=* z#GUsbz?a=}T?L-e_-=yPq5XXbQt5)*zQ3>r)_;$NSiVJ||5A-=@U;-&Iv2OXb;%Zn zMo9x|ul&*E5$}>hAS*a3o_^TINy78jcGRSs#AEE2bs2xoVBE{MYhAhD2gJS)-2E@y z3gmW2uxc^pfa-mwX7)=77|PhOr|RjZ!cbX*%DB2exH3@BN$>K&0N3OjRYwRowPR<+ z&O2dvDSh|2O5gwQXV)ZoQVU%I~QZq!r=Wo1^Ug592klZ z2#HWg!U1*jH&Hb)@Wp!5iY_4wy4}tjv@&F(hRA7avybjDaZI;1qB$G(aGH>gQS75I~257o0$0riD)(4VB$e~x!exc7vTs{@9A9(aI=xP?~_4KiD`CP@aiB$GI zZxW%EKUaLTAPapDXi0x)zk+fR$Ev2X;-FD__dmtgSvYB5pGsqU8EKh*bmr$p!=8_q z4zAE;<7w5lg8S*ENN%fO6da6zS<5H;+~u<|otriJ+3RBL9sWEgYaasi|I%1i`LdC^ z*X2gNWFh+buvE`!20`olhTSJSvM^~?WBO3=R=;H$#}90AP5b#_&hUXu6v}n>8J^C@ zQ)BM0BAJLVf0?-9-Ia#V7Efrh*kJmP^l8TBwKMrQG z1pu$f#Lj|84mkI5>X?djBwBXP`U>6jfl%3B+zYd2X!@DC;Uy^?yGqsij$QNu`u8{K zehz5i?+8&1&xLIYF3oT>Wn;faNz1 zzbYDouqM-TdZgL`(zhh{gqSK^oBZ)q;uRTl*lgd*UA2Rik4v4K^lEVP~DJK=5!WtOGQQiZ-)+1j2ZuWb#coGKi_4yJIZM8Sy0${Xe8-1J|tS;N|N zQTI-;0LwG`0(h!CvG0X7;}Y2#wEyV&?%%Kki4^isSeXZsse2TKj@W=VZ_~^k4=d;w zknxYR^}r?lZ%KchY@nFO#G#Ja3VN@|kdG&MAaU-sglUltkiCBp{8B6+;1tyKs(NDS zwAsTiJvPv*um5_y*A#Bcr9OLA;Dy7s(l4S}Y{Aa!k^b9WLzuJ8T@Cl~LFMPA!8;sn z;kJV7vp79X*r(BIkeud+SN~+oK1j5M!7E8ij`WOLKLKM4BWZ1&1OGo!b zD$2lxOVUd{BLrMIaa7hs+zw2;DtIizWZ=q$1qEZ10L(m^zG0?k2c$Dp77lS~D5$dO z8eI;+8{I`R6B>4)DMiqm-FX&N=m@`jdx;n#p!JccW(QaHt(NvzNI_8L zhP^W3y);+}=a8p1199f=<&_{dM`+`I^)!H03U)UN*KTH!aU-zVaB0I4gtQ&_9eojQEFO&ck;; z{3?EMefx)jsEuHl_sQ||3XDbHh_}ZpoMIuxBZ^M$SP1-)U~s0V#9&uzuf(xm(ePA! z+3vsFq451%Hg9<_6*Fja-dAQu!H07tmrKnfz`I3W;e2ZdzEh`t@1PU{_kS@-ch^zj zTqsMShp9h)G`h_~+Vb*iQ#FFG3u1t`vXPUM%M?wFd!lxgxh-W_cO;7O6&zPS`Te`EVDz+#|BSG;pWJ< zVlsqme}j!E&rl#7R(*dv$qTwVSVUNP^+7ECqJN23Ae_|IJ@6{S4GekZNY^|KfIpe- z2yXE?=!0!U%*88cec|YR@_}qHEj`wULm7Bsru;9BT^Y(Xeqiuv%Lc<>rDR)|WGs70 z8d|0=#25RxXzM?v!#_*K2ec<+FitM9IZ-qf*NzHcDBE~up|ggH<*1=tfFx;=howQeO~z3PCMeBgEZRBUt+b=q@vu=D9?ouZ#3p( zVPjq1hTE66O`K5<$Gx}OK7TLY^11tevSZlwVQsk9TEdQu`y{=Na6BA(q(;VDvO-?)+k2feMmV(2bC2R+xCf?!ttk1_BuQc!D~!6{$$fgq4E2}m2posafpqR zbyq+vhHKq#;eM$O-br2W^0qu#=5@FDw!>b?#UgFC!#NyzFBJ&yh-G>xI0Bzjv#mO+@>rp4TQI)bD@9a(w1V~V>`;;K)4mR2!4`}9l;@QU>Gq$1r5SspdboX;lFjwCDXivTw8q##O zRJXf9lPdqpF*nC z6S-Ksm#PT($;I^B-r`e03D-HBBo%=R%kl%o+dXi5TbQpi~L7fqU6MP~;(9XZJIAbUpt!>9&f24T1C zlH(T_CEPadNz=2F05X$n5}L+DeA66a^QlV&snt{c7E^>O zr_gqJMmOkL>JE*4%y^uV=Zc zBos!B;D$pPA^&tJF6x2lsW1vCPGyvC2IixAb|CWtnw#P6`&rSw4Plt6)Kv0Mbw27;L6|g zJt^OFv9NK~q>d>PIt&d?X*MT8M)iW4>~cPiR319;dLasY>ij&keWKtYhxwn~$8&I$ z?fAcFk8tRhJLk$&7z34iT|DK#<>Ik(DJq@cNvL(|spF)(6FzyW^r!u7HfmiRxql!q z8A@%Jt%p11sV=)qolLF#-QW|xxcW!lw%dG=UX^9KWbp*@}@dp#0+bKm@4 z;BW*bndRFL9C-1VUh$B=5d|Mf$eyP&@deRo4qBVndT_XIc5y46;(rF4O|_2#L5*89 zopsd?gb&h97aMzGV{JH>87m1?I78JKS6twBQ$u-UsR;(2GC0np?E&E#*-IBHJRv~g zko;}>49t*<(>vHkeX$Y1g|ao<1^s_vdP>1G8y-zu5?aU>L5Z?d=_6N$(5 z=!PVz+(Y5%(c5OcDvH1~+b(`qR(sTYPtl=e zH$@(br`f>GDD0I|jURvRf=(m63&C5SMZL$|W+NJdlD`j~EpBqgcT@p7zas>AvLlPh zf+-fysW}E(^H|||b~Ygc`ykNTRjU`5Vuyvqb0>%PW`II(a?;I8eGChaD;W}u!K$|B zhbtJj=A8M$7p|co$gY$5trAJa`=vUu<8J_ko)@*crUpS_=tlR0&k^WoLY04Z;tZO8 zyVrqN1A%Y z)xYY6xiuo5Z#2mn<}wD&)PboS4mSvyYmKVkyX84b%nxWy9pTGUTJpt8H+Y8Zx!>5_ zu$qy4d&J#yxSH094-yhg?WOZ+-4;Podf27+x6e{ z`GN4gpU(7yuJG%=fx=vtE9`rj(@YWxfuH^%Lf5p7;h#%!>EUiNOeTs(oAyOR?pJF= zg?W2?IM>(X(Gv-hr8UN8MFH0Xy9GJ2Ub3B)IZ_gaAA2YGEYR_`QUQS- zT;}C3=egsGe$8F};-#`c`Zl5KSP=us`3|>lj9I~rk1^|^fesME)T^*hC?2jAc5i#V z<+0}UT~_5xX2`DjP`2+T6`Y?ezW3T@1pa4^uh&>Rq1DW%?q{}6Y0?FkEX87v*)B8A(#H8!61o%xpk2X@)I z@Lax)LA#!e0uB#bL+sp;elz5TJ(CM?M}2&|yNQb8{Ad1q>uG=tdS&MA40@omZtU|{ zDjHJc-q}Nt7{+`Q|3DMz4DP1I$&-5%AtLbJ?}14td{ALasy`78>rF$=DHlyKE`?@y z!d^1cPx8%VhbF`7p4^7a@5x}veIxyaS_1Ao-7*+-)*q)w?G9JChof1}=g9P5HqZkz zFB>D>F_>lh)PucLJSDe$Xzv4aV7fuEuZT~9nO>2fN*d9?v#Il8cThYsG=1G+c*hq7 z^=mEoPTC`#mcBKMjWdL;f2_$@G)LNI;TBV$Xl#*GZItFRg!HjJeGF*{z!yuvbwRxK|05aC_kOms#Oe4zjT6+4^b5*aaLf__DMZDuL!oaOJD3(Oa#?f0l^x5!UsjckB=P-PK?zD5kk}+^!R|xeYW&mUG#9;ia3no~^`tNK(UxcZA_lJCe z*k-J_=T#&MU6W0!8280;h8<+fa000QbV;}-L`BA%n?)BDC|lkq)9~j=04((v)iVS} z;#lbH38kMA$UMdVqwBLDJf&y1Q3wdZimWG&QEAcGJ9%gS6@3rznlIV=x}AVB+q>o} z9>-$MUiSGlZ3j3vd}7RyOa)Ds8;84Svte{z&QYEr5ydmOXL)bMgS{Dd_J_rE(EB-Y z_?Lbf(vRy59H&o!O2cb^9k0fL|KPGD!7B}~Ip}~|Ni2N2#Mkq%k_azXTrX12B%ws* znwbAeB+$f&x_4{IBS&5sYvRFZEOD|=9Uj_x?j<*$9}^kZ^hP~O8i?q{vrxpsZUk#h z5%*1#sd)MLQ$4bsIX3 zPDWR?B$69VCQeSR-%FtoVYsU9Z|iP1Y?T=+uwjnJeqGuJ1DXL4sW!lTzr_$2x+^U2 za))6^w}0~~D*{wY-3X{;7lVIyrk%%X0#MobcT1X$53IOp`p@k!1tz-OuaiO^SmgV# zz(mRgDjVbuDV96H$S-Ni>YNqcOsxrIc3{96fk($Bzj;8@`AZ9iWlAV@IP`NRjWY(& zIWPDd65zc-_GPc9C8+V|hL!0fA{^YIUrd(}fu&yDS`8;I?1j*-<+lABr{QuiIV3!(aFR zS}ij`#op6der-t@{dMH@N%|x#^SpnCU(OXKTZJ8di`n9hzwxqy)lvAo`=|OVeP=i! zVf%wrA&IxM2-YKJM9eKdB)kz~26-+|M5iM4K$ejmQ5!Oc%^{fxjZ{ zvD4Dts43_Dsa~`I=LRa@zJ6+jBY*7zR5}w;g7b4fVW<$-Iml*(AwSUW?BpW4orWx}kes0P7OD#D!`Dr>*_N%+G;k}j#R01v+sUpGrI0Nv5W+p5u_DE3onn}$j}PVC!o z2zGQtct*HB+ir+ge%vN#v}B`S+Q}oX^}6Uy{(1N2iCCoB+f2$1%fb>J9sAp{QXsH! zQ_?hpjDPt*{-z^k<1njRA>ra-j58k!kQj_Wt|i}#1U@TdEjCPh)f|hniFf3eXIwyU zhV)qdgcZn#^NDWQC*bnJEB*H~zF^5yMg2nb1R?VWnY!nbaQNMa>bqA1Ak*J&XVka{ zyx4Kkpsgnvi!S)@(B=q)6sC?ky<`W7Ufl02IGu`2k3P!A8U#U#TY2vpR%MX!CGS2S zl!>*LXL4%!L!s*PGRD&zqbTi+OYN2y^=xO`q0=7;-09!VMc89;F>ma&(1l=BtyX(p zn52T|Qh58y_NC&<_u5Q<`8~0&ri*yQ(+OdCSc};x6PdW_f7G1Q!QBLtpGSZDVuo=g&|v0L~Hz-Hf1mx!U(vevtJ%F^?AYi2^kGo8XBjRoInK3B5XUdke^<( z*Tgsg-bDrmRA!N(qtd)HS0xuiRNBbf2g&f(@6L{##$aeNK1;j%WgeEfwW^-;34y>H z#J63_WT+Bk{>>4YkGq-=zsqe5gVKsOwmern;C^7|$BC+Zgn9_TOEa()P0ar=QVIE z+YT#D-q}$2jqzD9um1hSt-08Y`8OEd;Ocnx^NA;scxCVM$_XQ7yuT{d8@lo*B99O5x+dPU#T zl!7G(nM@uJD&e-@`h!1(j8K9lhX3wjHr6=Dsch~D0P$tzat((-be;yqz+y{moo@D= zl_%ll!`*i4xpCN8^j&23ItevqH@lAe%OO`+_Si^rIPQ6&Xr_AI9V0G@8 z$)j09jTe!DVXkv4kHEyiPBx>9W{@QloYm1&f&q03nrj&|&X5K^9!*ZfHund9@3JU3Kh zU&>$ikO&l)_sUq+2jO7L*W(2CJls>xewRTs6a=V1f8wwoKJL;opmyiu+Q6aC7mMLr zepXC3`^g(^FTc{NZ>Pfaf!wEUM*gUJ;<_qlb`ic#wSTO>KL#2W)$~98 zA)#dzfB$IcSNIC!|-L;8Xk33HmpbevxnW5V-`oo*lEA$3=Rfy;XeUK-EJ z9Xn8fjy!j)5?>{NR({13p1NfG&I9INhtjYy)hUQqlL%G*=lW_1S*XlIV^b~{hi^}q zC(79R!Jy9DC9c&BeDvv9*^OTjxFkS+BDUlNk7Gj)^jxGOZ+Ok{wwu{FdQU1jT!9Qs zj(zfHTtd-wZ(61*m4IeebRW!nMM3Z)M)v7vqglwAXZhM>BN?zuaY9E9sHugB1MCSqJB^L57M z4D_rlSK1jG4#z!CKH;B^#ilYT`{`R*xUf&loa=fNWSHn#l_7*lT8pL)Dh~by(u^~TK1^JJOC%|Ns50P_W|-@sU494 zMBp_1MNk&E!}&)$-pfw~qkP^JuTXprj&Aqdope760|cG-{LqMp6#1*6{}Hp0<^7et zWn1$>j_CEMl|K<&_Izh7d6A9`>PNl%=#%l$pC@(?hm*jMLJ7V7G6gFw)&lRYrJ-QA za*TXL3Y3R;tNy1NkGWsOsO#QYXeZ7+KCPGvR`-63Tz90R=c!2#8ON+GkLt)xi%$hk zvYk-Vzeuc|07G4dBn*iccX@Oq4gAxcZ8xQhaWZ?5l>C>7S!o$I(K^xaTqVl-*pVXq z;G#i{;~?R^md(ltjwtw>=J;6UKtA&B3~MAZ2jgaqT5N(#EW8g~zi$;_hev$rItnNEM#c?JZMI*i`DodK-1gG3R$N8-}Dl#Ce zAQuG_w_dHPMd||O(X1AcnT$f)L$7-4hXa4jVf_5Z4kNnT8yoqeQTC*DUiWGwxSr4b zd&5^3b@vbQ?0OQ8U!JfsEKfS3+3SWG5iwWnw2XZJ_gNxtVgl#pQvx=Zdwdq*b3xwo z@8!P?CZM%#^GUH%L!68MyL_cx5AOs-juLdduzb3vUBrq4(lIVde_M@k{;o)2<3I$C zUfmWj&qo5g*>Dn1m@C5NUP6_245o4O41D|=0Fw(3-=7XKLUW(LOa{Y|_~&NXUI^&S~%Khat4}H9*dY3ps z(81{*pdZx?$5pNn<5W>ED7tiN>6@TE>Vrlb*C{FvHmY`PuO>i$f5YyS|BP|(ypZIV z>1b3x%Bxm#zy+>FdPff~x#92`$)XaK7$j)Eo%i@-45vE6=hl9>V_dZtYhHH@y4m>d zI7}mjj2B3+U-LU7Q_3BOouM%(rm)sv9AkhQ{#s`$j$go(iJtOj<}s-9Dq?cT!54Zg zAaPR48NJ&Dt@?wbQOD9GL;ij!?7G9Y_mP-BR+;Gi_qLvjy~fK22v5i`-Do&0P;ZC+ zHW_4PDiw=&U()+dvInnL*@R7ZXPn4ie$=(KF3V;hmeX+orgGZPh)mgH(pR=a-1%Ge zJ^weRs>K5pRg>mIUYnuCCGL6m+p)+f`1#h4fe1+BSE-BKYk_*Zr!U0JZuKiqs)k*k zAlhB((>1Gg!=cwdAJh-WBmKddo@_Z6xRSQ(zZo?jY@1M?7Otm0|eZwWU~u zS-zm0!f<>gM3B=CS3=8Dla6C2qj93gET3`26Z_d?_r8!(L1L_4^r&_uwn#DGw~%zf z7Mn2jieDzEKF{^RzKe+DnG`3EIDhOKOFSSI?1s5CJRMj6SmC}VgQHkkfHU*^Xnf=% zk;LM1^2v{IxY)9-32dVvHQjf%rQQcvAB7}r^!npKlJbSXj0m`<_c=F-) zCScuxEQd~+NXX<5I51sK0K4x;93qsx(RuECk>GwR$liaNUUDZ4j&RY|OkQ)rFzrSm z^1~?5-fyH&8KZ*y9#&j5aKdt-%x@K{Q6TF0P2zPg30eh`lpecyqv2xd*W_JMPszj+i?Z+0}iQ>6gyWMLk+wFm05%WWPXi-LqB#yJ{? zlAR(eL;?Mt^W8_~DPXEmB6I^iFn{ngubpQUv_0i9pfwDEgX!*R+^^kHR)ei&?Mf6_ zM_RMr7!3tO$*(7yce&$m)Yy;{DGEqLDGmXqFbEO%;0)Jw$4g_q^1)m0r>qX}P|`wx z)uzAX*Qh(H1-Ojs@lv4Tyk#n5nmHUM)Fhou3qbn2M;kwV42HG^#f%@pDlk8<*fheo z#cz`fJtdEg@Qz8?q#y$y9%xfYWxKj4pS@)~Rw zCC)%B$~13&YYBx4-B&wac%p31fU){kUK08AH1IXA1Ljto4$9V+Lqc%_Y2kScT4;P< zwV!rHi=!5k@6Nl!JIY1f#Lj#i6|AUuTH}G&Nju7z1R^2vg6+g1N(RaeUa5O&iMFO{Q>G}& z`sN*G{Lc#B#}L8`!Zh&d{svD?-(XI(=?h)=@S5%{}%NnS8LA>QZWuJSV zpeRc^TchQGM{4faCo+?;ar0~FawA}{%Ys7rj6URN)($YJ4$b27brJ(v}$_dG@Zcvs*^kC>sMf-;X zIuB&i&~fO5yP97x_)Xu*P8&$TM3*mrgI;Fi5%zAXxO5^sChp8$6^_NiE2ZAcTDf@l z)+oRDyCfK{ncCAd8-W`6(FJDIT$GKd_Q>;324R|?+e02jVA4OXqMI}6xR2pzQ=~=; zw4I>us6Uj2X5y=}yZjPxzIDV$W`8uKRm<8r?oPwS*JGLwrjxPw1P4?6*BDSKeZo6) zAs8$c-KCn#jPTi;>-M9>F#O(aci-128M{*zpLsvdK*LfEv5tRnkYjB^@}_#A2KTV} zlD!kk{$#N7R(3^Ik(=U$eo?@lrtxy2Ko03S z4)8AjbTtCAFZpM*DLOb6*>9e)T+X`(Lq7?dsMiwHhh1X zKNNKRSh&Q!olyDjLp|kV(eR|6Z;@X<43q?dxi4$jVTgX?!tc>74xc?Nd@5xRc7+yC zQU~H-6Ux?}m=)r6$03igE9P+RvwhuP)0f)Ql8HHYmy=%SS>wfwv*&EShk^Mt z(wis^6oDGGEWf)x+e{8#{yX_k~Db19cJz zZ+`sbL}NaNF5Z+G;;=Ivd0P^qt*==CfM@lMQq*^4NAe|Jbx^hqk*Dw??`7)-_F8L4Bv zhC~!u)uJeHr9+R<)`gjCX;^7dBA(GqL53U_7qq{A7W zw|k$^@5#A2VT75<9v@wxhDT;*0FOG)fnG@(9_D&6``gk7PwjPL_{>R#e;2N*?zuw6 z(gmxHo#`RS>X>Wa7D5GDN$BiHavDmvowRoQ8jY3Vxy*{?RG8k=y7{eX0`>+H=HkPM zSc`I#q8F&(6>k`E`Wq2-o;Rl-E2HOtjHWf)=b7NG-^#nokAUyFFMjxv8;a+3J$uH# zWPl_2s!W%67DkKbp6_Fmg>9>X4}E5-Fg|c%M;pCv>_>Tc%LR2Xu;gj0ct92u-6DT% z4o%1R@w@%fmmG2J#Mb!to>_45d;HCtmy^&JvtK>5_rq6n`=kY!vY>gbzp2SG9*?CFeVl&^&YP>HMlrC&(-glOSS9SUS{{G;NRH^&RTNtSj+qx?G#FvQb>W2we6-)m#WP{zyOA(vu3&?M>^K6NAx4#jo#5p)Pz_a=jzhnFjOM*$o1^ zLs4~q#Pp6AIxtt)Q_Cxr35NCCcux&SVv~FWJSSp3MD) zSXoD~?Rx0Hu#gGz%XbV5Bnh}Vqu^=zh$mE~B)ZOB%m7=ak#W;l0+x5gc2;@^!co0% zjE0}n;Ksz|)X`}ICRw14zFHW}d{~rTd!Gt#bN5WX_?C)ZFJsf<_`G1xqEh|M9~p3b zxvwU5Ckdaws~>j#7y=UZ=3*f~62P7o+s;xMihF(SdS|*FV9(it*!xb&u&TH|5+Nas zCBJOaI-Y8vX~G;+!^vcT+mV0P4msc|kyAayi3J8nXS7JyQ(-l!|DEv304zRrkR-rl z1H0FrS#f_&1FPxLJHJN4F)(Ab^MS5EoQr6_!qkxlA0$OWKhH;_*lVAal_Ozr{I-X9 z@3~YMbl9aR)EtXH+k2*5|3$+M^S#+hVabrlC3(i6D-KN#$7>Jj5x`mRS@xA%Ng&M8 zZJ1f}@+8OAmqkZ2yg3Q-I(uYsFt~0CvKT%~qcKFj39*O6*n&c*Rzv z=6IOFiMe?d||iRlu_O+9)%sX!v9S#B|zeZ=7c68G88BB|Ccu&iMg&xs#C|3pp>=xIgb_@ zDujg!DPobRXdbFy-IWZ+4@F8Edr6SyuBh`lR|C%eOygF$t^=Z*^+FvJi7-DQL=}N_B#M9H%Yxb8&AZ$ev%Jv z>`Vcs(6#<2iy_b%-2ARWkbp~Xw1?jpr9%Fd`T6o)QJ`up`Lf?E8oB=#7iH{BgSXGd zT7_0(;SZbXS5kQditaX4U^|=&$4gjpkD3xeWW6x!eoZ*upZ|96F)0;l3RQ~(t`b50 zt)^+!&oG=8dKjI~kp^AoJD1mTi6GVyI<(`t3wo=S&fV+|2JR=d=TDKsp>t(rk+9Vl zw^teow6{|r(ksSsW5xkE*2WXL#$1q9R-++KM-Kp3(OA)J^m*bf$6U* zW4abIVE?O{$~#%I;C*8>*?3<(rXHV9w*8O`1MxS=bp=L{@L>9H`8W}ocFekPY|8=m zw+45uExkeO{#1vxN;I;UR?Pa$Q{iPeQv$1GI0VENNIm0?K<0bPQ{x$Qy>@rgYY2^o z-Y*$f9`=Qz(NxvM!&JpbKUQ*c#h97fcc}=i4&WkCZp4UZ217EPu7r^M|hy7ZP5^zI=rqRn3k37OTE?=wi;M$wc z{n^!aAT|0{H}!KEeu=%>(QiowH?_{Ww3rB}9sV=L{xcZ0jvOBpeUb_5zB1PiJ&l6& ziGhYRQV@na+}>*8p9vkI8ci!p(XcCRf7x1YAgYLz@GOU9!n3V;i9%{I;9Ho*w@jZ>ltz}VBkaW`pzc17E_JK)p1;01c$nFfRk_g2Zapng3wp7@YoM})p9t0k< zMJmpGfp}It?vW3YAbM8}QG91OEX8ZCCkO;X@nwl373~b@AfAcn>C%LAX#(*Rh6ZSs zzh7BnIs*oy8v8Wu9O2ya0(%M)fxO-Irp{Oz46+#M+E9$3(O4$AwlD$u?#j9nWHLY{ zE2b@A$Qf9y(+o;?d*a=T?bVmp(?OY_@{c{&5oStp_C>NT7H&`J85bhKkB{W4+H*e8 z04qS$zqddTx%@5)n8k1?l{E+WF7^|TXPF^)QHXie%Tv%};^|Z|OM`&1_Uqrd4uAlm zWFJRJ0*KK{%{rp8VelGiy^GMo$aLCh9$g3BhcvFLKhFjQhG{=$RV^6obAMXP;)L%O zg59|WGNEB9nIG-7U}w<8PS$8+tWmLFi~SW3ybr!VR*7)}Q;uRYieWVL@$fT+x#WYK z*WN(A?H+iX+%Xli`waNpH6K*x$OYB(|BAH&%}}AidiR!uL}>T-UP{!@hr3pLzl)u5 z!Ar+)pYF5HgbHgoT5&fYLhY09c-0!CxeD!-Op*h}CerO{oeF+7`xvi%l)$B{&;R6q zcE%Tm2JbF?Pln#~J|`;G0BDO0#>Bf}&^v0iq_n3HxaOPgn3wpX)#cc(BfkGZla27v zFvdLaNRaByeQu97UmIBna!KG_c6eJWdl6jk3sMfr2|!=*gkA4nWr0gd<;G}35!f|+ zFKP+)L&>!0Tc@oZv4DSY`9lm1h|6ae`HHU-nwh2T2HLb~4Ik8{+@kW#;0DD_Y+jI4fSxEQwd1xW^#3Ii^OS4{*o=l3*FOi{+;8_ zp>tlHyB?b}wr@D~`t?O%*kA*vDswg*wP?@We#{1cR(3t3J_v=?^DcE!CPhGuJhY#1 zJs5{Sf6@&xI*t!|{X8|K^C4|yE~es>M^G!AZjc1?!U{{AB2 zmoy-O{QouJubNHXC1#Z5*GEwk@43D@i?U!4V;Y#|IJnDoquu0x3 z-g=7!;WCmIxu5A=At*JqCr|-T@}8OU)TTh%cJ534*VEykP+hh94>h21ow{+qIT5B8 zB9|4PWWW!;)|S`#4)EWiw)iLf#AiTj&rCVag((GhK624O9x9>V{{z@Iqv?@#hm zVDii9#&gpqSW3{ieYqtKI?mV3@1tfxRa~lHeV7Z#zgKz0HB5w}SL6Fe?xjKGE)&j| z^Uof2F{ZhM((`)Rj0PBWXF_F->P~S>Env#wZ@zpy9TFX+yo)Aiz-aV@S<1i(x^Sud zNoW#uuZo%YM`l6oJco~J&jmPVLP^n?kAUV9hR3IU(?FOv!vExy5&qd<{rv@J7O)=C zXi%NYfr+3_&+Aw0px@?I-xQr|pTAY|_TbNilYg6D*4GQdwb%STlm;>=F`i=D_()iY-I2cF*Tyyf zqTuzlu-v0rRIoX}*rxkK5>_qszpjgsV1K>I=G}C@Qh9XQRx;xxFkJFX6}P7X?|-v} zp`y9)K&@9#SXKtoxbwuq=(&OY_z>&XH5#~`r;VO>P=U#qzPO#Hp3vEQf-2fZg~-O9 zbUmSiko>bl*0(GNbd0}rRqiSR^T%C_8^Ip<&ggQ3t7R~-a#fEURmp-eqcQbI>#9(; zZRZc)y+u zYQ-rJ<;%Oy+-!; zA`Nc-TF_Hhlf%{H2BAy@8q}w}@o##c4_6;7s-E2$fO+$0W^=D50k2G5qn&aNXiY2I zq@S|E*9+%qTg?bC!eFplS0M>D2U{y7pVdcq+IR78Ujhg~r{K>+$-u+7{(kI>9#$`N zA0fHK!CcY$o~IvE;O&a@j_z=6e7cp@?1W1+P;zT56I|2b5G&&`-vxD4J5cb>=xi7$ zcN_RROl5+4_#j?o6U4m=$(0NH{DI{#r#tN>70MqR{@L?Q5f-&MMYq|8fxao@{`yyO zuq#p{RxRx;q#qdGyrrH1{OoD{ce%)*Vew_&PV*S{4xTPcy+{Jlz145(zmTA!J2B?; z0TZ0`U#!?JLj*4I#GXn1c(|bvCf`oqI|mPbqd(Shpf)u)Mes-fIhUQ@j`vMaKV%_q z#n1+V8MX)$8iRqTpQ2@yYy}Pb@-FwVk)h_j*4LZd@n9?&ShYLE0B?MqF+Y3K9Nf9f zB{cVE!TUe$=R58j!-A`n{Pi+h@a%T!cUh*wyTJx}X~jgvGuW>!-&&}ll~KELc3b}j-8(rvGQ z&JDm9rb*oI=-hi$b(*VXAskZgx%_1Iwg#&} zH2AY%bBoqqY;uI72hTk#rh21%G_mSsCl&goNu|ZcfpA9pjY;xlY7& z<#ZOSYerxh@|px^GvW3&+iw-!M7(rxG4uW@H|WTjkfxo^fPJwqpFW>T!XRQLXMdm- zjIJ}B$fZ!>fHS{d6(pib*B6_mPEFY8mLJ&miwcbg*#r6`Dd?oiz=6gbtEfggzbCyFU(O|?`gaJuBES0BLIJqo%?W!w@q?`R&yiz}@Z!yp z&5SaIitse+M{?W2qGQ_&6lebK@QKM>1B>^oY(W%_WQgE`bJFomV4xbf?}(P zg;5}`24i?kbv7KQv{yV)D1?hAF6U`XhNH=6rYE7*v9J-m@aH`x8dAra`QpzM2p1tkOUC`F|Pquo!LpP5DtE&eh0o+su^( z8RH%CQTD!IJD3)u4^V@tli3#Z(F+fjPy^+sL>O=KNMT-5J{Eo-0o#(qPRkTTie@6K?H1(MbAgf>bf` zd*{9^;QldDb84?WG;^F&S~U+x(Sa4#R@E%$18O$C54Bo0Vc};S_$=}D!Y(!>|HTscp8K~vZ9N*F{_K(JvQL9^@saJC z_e#Jk`azp)Bmo!PFTXr#O+Y?rpDDj!8ti4e?>i?S0Ni3@cb5N=a4OWyggrGI_-|aJ znn`-Xs>t}qppitpTzq2Cnx_~7f?T&XQ2)a#{Q}Y=k_lK;*xx*?SpYp^myUQ4jlr?> zhYLGbI`H+#6tbA-LyrBa+s;{mX!oP-c|%(w%5@Gf{+TKOHfcSseZo#y^u=-9gf$t9 zZP$(tvlPShErt_fEElj%{PE%0Z~|6Ylp3hm=Yfj)gMIRIerP_|;`;hz0?H%ztK*XS zP(vyJu?BY>aQ(M3a?uy^G!`aniwogic2q;f%_yuqF`LtB=!#O;nB%)6@q9Uik{m~cK;a9J-74HIVV{c8xIo0&hk|8Wi&*KP~C=j(u?Y~|K> zyz=1bSl4Qh$VE7RYwJklJ2EmdfUfdLmhDZIOnUz0wEj8x9*3OjJ@n|1JwC*b`w_VB)hEO0p6 z|D9jN8*;}p+HZa!BP+*lwa3yl5I$O--7w_^h8%APolTR0{gAS1$-iQ7B5mD!%ae$W zytDg1s!~u+X7j8wF$dmA__Xl9bOsZa%Ok98DfrRro%qbHV)$;LXjc%cj_mdm=dK7P zp@QDgnaVo_;FYo~btf3WpM9(B6o(8*>c3HU$f5v5EdLwT?+HQq^A)${?NTu@mq&Ad zPZ8v%CtVqhaz=+1G2@F%sn}M+zrfg00;LqM!Vl^f@I}V!>Vj8Eh-ulW+I;z-x?6AC zub=>I50fsbhg56{{J{rwo!oMMt!DL&2R?mZU2{9x8b0XRXS4(t0K?qHg^-k3w2VlN zWBV71L$VL@YTo3*qp<~_-wJdcDQ>i*rRKovT~fWBb;ZE=j`Vv_kAPP;wxstK5W&8h zZKIPR7nnt7$|;6!C>mn-&X+G2bc%OBk~>oZSAG_+OJtDo0c%6q^`BIj`1MKrQcy8u zUt&?aur(gX`@PP3=sCh{t5@NZOT$k!-v>~%aodF)WhXhnmu2o>oq^6sF|xk%YL zMgq;Lj=}eiMKHWqrujqz5mQ+P4#1{FEZJ56?0HKLJj^QNY-MnSPU-=tXEK>s>>M$` zv9APPeYmtmv+NvhYW=8Rw33QFqq?TwY72omySTDC`ZQ>T*%>_xPll&AtVp|>^MJMb z{_m9IK`7XMl6ci46VJ*Y^zd3NgyGozsd+ihcx7_4Zdwc#H-9wi?EYK=+tbh76C&H< z)^~FkMe{RoDC7@EdvG3TA&qt$g77bYnc|5KDoUom5ON*MhejcWpCQiP_^Vk{dQ4vh zjIT!6o!7_%ZoeD9+E!vw{=?69QI;4~de)X`Se^^rD+8 z`ZpY!4N+%{<+MwjVLN}}VDxSxoZz>jTyo9_PM5A0cu&N0l1Fw&e@n*WxmR^uH|4>e z*t`e#Q*EH)Gw%}POb$jK@VR7Amk;aj6n5D?(1zMQvjRoVG}L8&|D5(Ye&I55-62OGyOt+|-*TPkp~`g7yj&NWTM~-l5ehUWFMoJw)W30~JOvJG?fSiM$PEYb zDkBOLQsCtH=CD|L&g;#uN}HXJMqS;IoKwxQ;Fj*Me58T`jD+!)CqH8FZ&2&w_j@iN zyNOf8ta}>lcsK{G`8?h=t;m%xs}E^^Fji3Xm-8%%~r?0_RZp5?_rE>ir?Z@)W7gQi12`YQfef<60# zm5-J=xXvAX)G0n2%46=|KJwWHvIdLhFgp@D+fGkGrd;;*A(8RZt>U=yg z^k!muEESZ@c*@GSZID6mlnI4D582v&hkjJcf{v|kM6|gMLH6W|@Ipl%%1zw4H4{sO zt-C?~afv_PW9(FZ%vFeM#^FSxDGHp`Zc2I<i$(H}Ln6Ol{a^2C4H{_rVf%-Pp5 z47oq>9k2bFg`(rv1Ml9A0Da}bPnk`@cyaP`CQ}jx*laOa=OGamPTy&s)(pmfk!kFS zYcAj*Lvt5xCBy3F@89n4^1=s)Abt5$0_X&N7iJ)aLqx8M((ph8a;MppKG+@tU2P5l zeEsg=vTc!doHqu`>emTwg?9KxD`-bW69qOr!mlljS>t-hHEA=BK-9f*ZYYC|0^a7M z_RU`m@KMLRcYgjc_(-~>S0o_;>{uRr92ycwi8HjM@z4ZJeOq%z(mxes_0DqC_MkBRqTWf72A!^B6~^}+}$E-QnS|zgdRmnaQy#& zb_Y{?n=&A#|INd!VM}OyZxVE3jE33l2IAMFGhr#+UcYMQ0{E(2&cE#z1J+Ycf3}c4BQ=x)FMp>SB`NGj`uGZy&Q!YMmxnt7z*cu#%Jt9_r1)<9CFZ2DHB(Obd zaqP__Do zy4)?OqZNxP&Nta6P8s9l!JyR?Rc{oxG}Wn0jYT7~*kiK`#?W`}8?EkPEF7&KV~)`a zK!vrmD1pt!c%%1L$B&9AxY8d>`OniE&sqDF{p}6LA6r0-ay1IH20;0w$jdv7IP&#q-Zc<<5mh;i%$M)v3qnXsIna z?;Dd0pTgL^Jo*g5Qqwz%Mcbqq7BV%!z<6S;S0&-}5 zZ(BX#50N!DubAum!Q#qff9tDAv~fs1@^!-*R@zNCtwg+l`LS{G3-L(Yf8gtbC^=WW z_EGnnX)JxOpDcX~;0(lNFzTC>C!o%JCaVBB5O^{ic_eKdkoadte0g^|UT-^=dTehj zHmcM`Qq5wpf8e24;rmp4aom48`gaU`VTw?`%6$-Mt>4(V`tat^X;n1_QPM2~~Y&35Cf{+Wi9`d<2j=ooD$LY4~i|F>0_O5L+Z`e%;~<$5X#qIM3HJAhmq%PihpMBSxm$|LY*3 z1Os)|@pceAuoJ4^=H!C+6;8@_*Ap?WGdisPSRlGu4X(O>Nx{+!JUfndlJLKO?4??v zB>buvhrCq2x>zubc}`bAMd6VTnmLpH)w_bOLgAElznQ{K_ko&FFOS|+W1+6uR?Clj|t zTEK}Nf=caT@mSIS?$^^WGLpA?^*!v(#^-MFw_|Jq;6d^orB<>XzSGgzCNE3FU#}B3 zP6b2(_hvP#>v;w!diUp>2@V=+-ajrMf87l~@2^v3YYf8cat(~aUD;^u8v4)NUKfh& zn0MBUc;fW(lc#+<(y^{1!Xe8v9v>c*_5Lj%i@w#*8N3v!n0xGW(hZGB9CaMYnP81T z&orrZ14~Q1`*Ns8gf|t}rJq)s3dQ54jMYQ3E&dP^P&o9=H57k7;1<`YAfxd^Nsq7b zAvhL&a)vWC1Mhdt$;cg#$GM6bq4aJdnlos=*I>`UGVa|E`Ygz}TlT|>XG18YYKuC@ z?R3Lx!i{SayAx3PUUk)sei#H5&S@I5`XFm!@p0L5dOmO0@?aV=!lAM^VM5YDn8iC% zTgnlK+5vJSo6MtdCI05!C07qzC=K~)t{#ZJjs?T#z9iyNX(Bt>ECqSL_$<935pmo4 zo8xdK0lUBDr5^|r#mUI>@f|8|xZ_)lWxZ<(wkTM}PV91k0$X{9sVrAC^J8yN+nb2l zy)*g@ZxryScFFNlDPKHuO7FLlgE1V{j|nffNW_-9lub9H*IoSW4&4gRE|ujtAnWyG%tGhWQKt6PT|Sv$luaI` zytE9)!{?LR^50W2k~bjeCCM0z7(E;5Sr_-pT(ZdeNkJun2aiU0l8|S!*pZ*paVQnK zRAq0Qj7{!I$1YO{_vwTdj!yBorkZm)4TJWDOQ6ajNKA*Wvcjl$Ow`|qqR zrXub7`Fxg9CnOL(I(MYT;ke0J!^~1L`nm=-f7K@7PGQb_{v}aZ`SnL~k48AI3=Ucx zdql+Eb}2ofgX!28aM5ntArkJe$O*jdO2JO;F1Gd(Kjhuz@_Fk2a?T%(B;lHPyztB< zY6rh7Zat&-bMv7Pbjls*n&Bp6pY(i|`QAWmYg-XE3JAy5nwqPgbr(SQM)8To|57mf zq_G>nPdxUR7xtu?rQ&0Lj{2WOdpy_a&D*2nk8VzS%m2C)@sj`TT3Mnk64bPZBSQjF z@t4kiTMz^3JBBKk)Dcrw*YMwTYkP19E+QBFs-T;=+CJVHD6 zi)@{NKi~YPGr}2*eEz!;UE0~Quf=>=l)TNZ|wrWvSNNeXFUC*hyv__DHkGS<7_(4Fp% zM!oDWA5w2cqM_~8S7Mt9=x=rZ)|J_4%ueQX8aonk^N|`p1jAkKMz8=*NN6q(S4e{s*v^Fvc z=3FOW!F%Jd>oyTc{qu^S>tr-~CUL00$t5C2D~n0-5b-wgCo>-*96euB8`8H^@Y7{I zTkek$s49{wv7r!#i?wpRHoF}0KT!*_8`5cbT&>GeAc=q#5^vvLt`Ej@Uf~Vt#}e>i z%jbNjsAw#)X5GiORU3LGf_ML_%0Oi&pW2)I$jDamTIHC3Fl_ZX`8tm|6@|vvVwrmq zu<`5Pd8WFyzdfj=o)Fu|B zqT$m>)&1AJDR}$sL0z$x6#RNtD@$!p7?|b1Q@Zs#1&`nVzHg>71K(RWlvL~sL>b=Y ze|HB`vE8h87pqYUQml?Oke!KWpuYTP6JIiRYuFt#k*DBs{(Ad)&a+7IVaYJ!&cx{< zt!pXOL>$~3Pbi@KZF8)d%*}KPwup6oaQH#QdTRl%K&vRUmaAp9I!M>6YT+vkU1U@r zJs5jfj)>&&SK=nk^!LsFik7#G$MI{fMU{X2pqwv(>7{ZyIwoW#gl;C&^~h)NvTiV* z|LS4CK|kN&Ry}cwiHzx?qvt|`LXp$+jnl|=3Qk-&;rrg6j7inMU38j5P{NGt*(yrG zCr&kc>|0{czoXag%uFPfNb~d;K|F?3=@|r}5V~wC3|k31jmB4I{-9!F=f`T6&W&rId&@43Wpb zX@^2$(H@p{p>%xd_mcX!iGts=14^$RbB1jlo{|cp8OXuv&=Xclz_enOt(lqbVAZkt z&;H>Ie5&Kk^!FwKRfI~PagRm7h0KdFu9oQ-^j-9*RAw^LUXg|P?*>4m_QMN@m@=`e zyCG9)Ee$noKj~SY4aEDhOj44TRFwN0cb=A%hKI7ZUfm^2!d6G2wMUK_81HFpL@`go z6TG|an$CNI4%5xoO)D8_qaCdB=r9rYUS9X_ULm8hz}5A3Y8qbnt$rf7o`QKV2h%%x zBJr2c;@{!mh&NhmY?Ik+n}03Q~(jZM#I;0j5r zT9lB8qq0g#Pc@7%t@iwY?U!VH`FHEp*ZySuv=LFm!)A{+`vpI2ZcW9*y%@nRoq*L$ ztf5U>kr1HzFVDs>17AK#@|K&W`@Z>ocOg!9;E~$@+Qcvo*#!MOrP4`QB2?WQD<29U zSSFI#q*Cx9_l4JE_u`Om`s?5>?QjUP{J?R}DHZ?hig_YAMaGNIZzr$|g~7cP!yen` zsmOUhfVrtB7B^|MOa(AT!HYt*3rqCAYwr*Gpkx_`2HbU|h>M|c-O9CqD?S51uvjzH zI40oe!|z|xt-PVJO-p&%nTjEcv|HAYg74Zc^Io_RfvYnjvSS8W$e*4z`D8Q&Z@Rm$ z2;HY(?)X{5pzBn0VEwe?y;(9In4F#YToViOn|fC}Kcr*n`rVd-y95;aJJ5TzKM_x` zHzj&oQSo%dO}*LeNjUp%{ijYv97c>1PO4;Qt59O?lb&iYfg3o{W=y^HHh0`hD%NUbE< z0yC2gd;c>kF4$hzbmL3GPZ47!`L8H&NB56RS#u^Lhrd4-#Qh_PdN@oGIAQP?PMc6^Z}i^ZS&1DX>%~QzSZ_f)bAueieO;!U(Rz z4_UQ?AT|U~Flc08jCu3IESZGcAge}=%>*>@{D?z+COUApMDo*pXUBpo!}10Z@3<1g zd|pwpbknift#^oR?CRWUrsIkzwHfKQixH=hmsoj;$u~``Bklb^9IsqB; z%j-=W($SBB-9p)#?(ZF5J0`~{Xdf|aAKy=cytn)9M;ua-dG78o^F|O}D(};m64eD4 z5r+2Mzu8!>x~uW<-DHe1=B$0D?~loyF&|&u&c+PM`LLd8`aGCcw4bI1!&Sr7<-qhT ze5+5f4Sbe>16>x=19g7DVt*^RZ<&UXA!+SD+>>#T$k}mFI|Ygb<$s4JQgI)CiMS;h zgBRwC6L}{|&=a`mHd6VInj zK?G3mHs;&;CJm`O&mOTf4afQ!mybci6i9OG^QIh6#S{A(ODq(Ekj+cSa)6u+ybZe3 zv2Lj-!=#}61AC)}JK}dS4S#J> zR170VV^Jq#h6O1R6_^sAIFBMNpTZmD&kg)=~C^`98#GWkl2~qAm8Igt>?jOeLu97j981W@Go`NQP zL7dL~iCA`Kuhp0P@%R_5yC0OLBXO4F*}KMg^fUR8oGnO3+PDDa&a*@~Vjy8wpO}de zZg+(*ak*h~RLd$^z!h2iTB(P4Gx0}3RQ!8S3QhuBgVeSNoLl!7Qcz7rxid}oU(-2X z`SQChqDsziqtkQdEh`m;3}dBhBZx?8`*5q4b^VdomV*nIYBKS7^#>1n!o&iGr@^7G z5}<5AFzfv?74J!9Y71=-#9OijvnN-gKw`^dDFM3gY?AwU(^fDNL&R4svU(Drg&nqa ziPLjT^#}1BO=rB9{!;d~8wHq!V$#xLGBLBxZ2!hHZ)CV4`|Ol@0{Db|Sq`G>VPhHi z?fd17Q@rLzwHFiMlHf;n%|a@Mzesx->FJ72J1su%5{iSXnWakCM$&NgUci;Ta(?)# z#oKLXunT1*Q1l+$bLVImPRUeO2lkGXyb`n8t?PYZ>OU4{Y?kc z=15p^**~o13jz0yhy?7>AfiHmvQAqQX z=#sB!3{viWD`>kFh96v}PG&3-aHwi)tGlc>zRy3clhK}t2U+_wGF78-2ne4vOM}ry zY3@IhE%6xlLNvIYu6tV=i6u?E(U8TV`dUhiiaTCv%UFv$AcOgofO51w^oyAW2hjKB zMj(&y#GU|DlswWpC7cY$wfFJFGt$s*=pT^7MNs|Q#^(sxG}xTY|0?SW6_4`I=*5{D zV#dPPy_|*-$MnBfsdHf2pYnD! zwj|g_X$xG8Ovh8}d|U@>P0_M>_E*9_B3Mf%+n-5EK^@_anPO8*FIB-u%Ea0hs>8-{4xv!p}>; zJ~aiNrPte{EOG}4lRVUla^nKf{LxP>Q^5$V`quI6l8H0=xDib)dJXZ?wH>!4uejp7 zCGG}Vh6SGbM~Vo4XNa5!pZsLrV}oKDiLQ5BsIbUI?ydish219}Y7AMp!ak2eALZn5 zJm9@@=o;A%XRd9&)w%4CvY&_V_Z$hrgP#NczP;jrN|O(h6-51Tg1Mz|GCCTajy^Bg zqDaJjP4!YlnlCyeujr`|WAW*UPy3`aqVaI;SjERn{)lH7B_}1-;L2X^Sf065B*lEF z-I^wc@iCjvUh@vXLz`J$r?Mzm!*$`NIkyv@RrY0yXi5R8n6tA?`ZUZe9(&Yqzzv3o zlD3y=G^n(mI(CaC3tvsKb)M{Y2Ai7);?FZuAhJA9`&SDMC$D*m?NxLGq0~1PYm#yB zTKmVL={Xu6mrU7W;OzosbsmeA<1`?uR6Vdr&BPj^ik>HZwqPS&UiC2{6Aq}`%~zPG z;`Y!3J?9ipL_Mz~OzLiCP?9H+LkSWwU^*Q=dP6JL>?~1UGdQ6a=7Oaji_L zpBmiM>DtMv7XI7W9_9W+YCkaOR zg9o^L{h&Ixbi0jE5+3YO;5aCf2p24yd3iSnz@d|hF26SD9A{P^v>u-X9~yY`jlv>< z1(4G6@*O_13u1h=Lk2f`ygq0l<9jlS1}m0&*_-4y)4h@aT?(JEJlF z5X5LDA(j<^b(jA0Igm&~q4$cV7T2Ocx_bHU)`keQP`hI3JC}fe*R8eKUc|w0+MXCy zqX0CX<}?%tPQ;8Dro!yYWJuWT8-C-q3p^rK5!d|9(BAg#Z>0bM_^bagRbVX?T;xXA z{(Z2*#uwY>_4T#Ef?(dh=Oz^%KdvJtO3=_iC?Z+>M;N3k2TAQe9*lgYB(faQn_kD% zgtfminBe-WMuy=W)()?@s2Dk5A8o6bQsFU7C&Z={rx1~~JbtO3Ar85-s7!kGVlenG zYx!mYqK-~`D(6=sZ5l3`c*RPt+n8jklK^!}?G2CToLtzXaPfJBF=&5LO& z=4}dlBvcp*2TVFSHCf`p)tRrlnC`dl?*B3jyG#H64aN@gP(HLarFGEeGB9lQSG7xa zFg$Q0gq4;Qz_}Zn-ny2hqU@cGy-ghSITKt?+~<@HmtwmWRicS#5h}^?{;eCd1lcN< zFQ>pIw=eV@tP(2}qOE`ewH)`tiX`>AX4@4y+1n;I_B9x{Uo7A5J``w4K%v%fR_loh@v zSRD=#cYwY2RteME8L&M@LeMOkieD1gUsjnCAaCCzv)kM@7&X59c`eih+sI&YHr*0@ zJ5#lfCwjx7SizPAk~#j@t(RJP(*zEMeW{#c@W&q$emDB>6YgTybDhYdK>P_9j)i{oMhH2m;{GslAQ&W?fT zh^S;-O|hT9C>#lEd#0m2ni662R7v*sS}IC%Yo4{wje~DvUHda$(!iH_-i+l>CMwEa zlls?AfK~#V(jFkf&DR@ju6wEYux{Tc^<%N{_oQ;fkG=lt-mGk3 zVr9Q0|2YI>7<2BV{_=;RVP1#EpV(*8~(^Wx6`ScK+kDG(&;%dBxoDDcvH?R9{y?eeCm3Xid&j~t~MMXfd$tJ zA6bkF%u}^-gym!`+%ht>{Tm6?Y%GKo!(!oGLgBxsMro*Okh!4RNrZ!8QSUV;vtb8u zNo+(t1q-+)Ihg7GD&sTalIHIZHyOtbY`3Q3{H3D$U||y6z9zgwMv?@k7DY}fW1)DC zpBU(8)=mFTt0x(HevhPQl!f8cY391Vb0qLFwA-@HpA2V|Cf_q` z4adILB)e`W5-gwnHJKAd2IClWUNe<&)P9^Akd;INIkpv%Q$#W}#_#n%84`|T#yYy_^E*LgejkU&K(#l@VB44Y04j_~e}MA}c~gy0SmeE1`? zBh8Bhf7cs!q{v3$Bi-kDQFK3WI2^s2t4)IcQE=YjRQ_)q4=L>^ql~O1B|>K0$tYw; z_THO=V>{u{oda9j(s0-7~tMOak-R zbyh_aBAy}2J=fb#0^a*&kv)`1;2U^lB|Z{_gAdc69H!~UUaQ3bQCSK^%lCYA9}Pg_ z2LIIj1u}?QpO2;MB*XZFbjAxaMAS7iQMl(z29I2|XK(Y#V31v8Ehi9+KX-4r{iuZu zmcxw&+r7vTy=7|j>{u{LFgfCH778#OJTSD~oD55GK0Zk&La;i!-M`z40$2Umm~ALz zSloZCI(~l${`qihb}wz-|NB~7EtN=y8-tDtlae9$;e?sO?Rg3)dFE+YrIMk|Fpx=s zJ_HHKt18|_0omw&c^D?a6TTX@{YGI}pI6c6PNjgd*mgN<9x}YD?*DnfBNRg}TTKVP zp@6w~X?Q{y3GS;7wK0~4qoBLug?mC25VP{{|F1d%*xBygR(lwMViBxo#%TLW6!|y& zlO+t!=f_i1|3>2VzhM*uT0hKm zjsS0(&q@yQXr62!!KJ#LFDqRsV5Ve5%1aBx-E(%X!?9#w{;ecuofnA#=jXCr{W9T+ z(y8!wH*|1sz37*uQ8F$|y~~}o%7z-9O3gNMD_u$rqOma_U>ZXPEHA z(8u$RAC1UJJ-y~Ew3Z3dj>`5WEXQHT_JIAm}o9PPl67Y;%YNSme7?uo|XWRrMg%&|S%q*Vxu)ceb-99w|pPNA;Rwixt%|8P*a z{yI>@{~h&vpp73)NAEs45sgkPb1pZ}QC;oZSS8G@kjXUJawvS^T2-9<3 zwY9ne^;6=HXTQhcO3|NR$E~h|zslZ?HipZXt?3FIaXH|?@Zeq1ydf4} zn!k1aXcYdSrWQUXWP`DD*ez2~0ozBhJEKpNv5CcwGW|9SCPkRvX%_0Eo4TdUN1143 zI4?68IiC$3X zhLkpCv!UU&t-RuXQ^>0RS}Wk1j6X*FQnM?HfwfbGXT8<~Zoi@9@|{S=OqcwY8nzPH zWfML9M92ejGmZ*`EG47rakY~S0)=3$H*{%(*$?!m2To-{ER%Y~4YM$N}Y4iGm#X(urshi*NK<<5oq5c$%4|Fb8q zASStOSka4u) z;uQ3%UoA92WQ zsf{Rx;`kTiOpCU#r%#ttaU=@y7chx&%^W@~?;00TPeHx4R?S0(B`~+d zs?%%b4Yq4-@8gP+u=C7OUY%_vz$;bDw_CsuSWJ9ApYW!l&~@^WYiDx6vzjt@AW8$( zu2^^YoQ%X8#x{i~qL~nWG~%^DwF>s-?0TQAkc`FoUU`F)#gJO_{X7@FIeg2jtg%*! z$5*dsKNgl0!S<28;?l`hU{J65yYF5yVvI$fwrmOXNlA}>5VQdmi3^Vcr{ZyshNZZz)60ytdm7_21zCJlSlv<2kgyj~YO1rJmSV8_!#W0o&4e=$d zzKX&i^oXha*+wiLZnv}6a?XbVGfonl2q$uv+q`4`r;6j1M~-CoX_zeN6$NPTio`jmGCE%rga`nNh#c)r6Qqs!e z0GqtQ)Zx{;o^WEWD46M13W^H+aCxRz0;)FzWx9o2A+f)HnX{CP9zyEp zZdhl+^}8S5n###SDer*Nt$)e5Gkdo|noJ?6zpQ$GIMEB{sGBb`&nM!v`p)x*BdDc@%igGyc2XRPVzw^=*OhzuCcj+Me*p<9YrZ9BNu%1#E)XQef~z8fP)LX%bj|$ z<$DUcmxX^`JzNZDYWbAlkSla)P6*XbQnAXei2JWV4rtu?d_3l;G3?Q@zBC;fg|Vkk zui7nPe&vP&pbKC*z&g+K+Rzv#mg5iC4O#XyLt>(7_wWHC-Q+UqE0+^rxy?{s3l3| z3cy~cY$B#r0FPU>)n1eBz|W=h0pAvFsO2298TgS8vx7U91c~mz6{4>C_NE#f9V%)f z2o=C!XWoiyz7M=Pu(FM>M+*EGA1kKcDS-bz=9vnWID%C3jc;eiFTwBW13D*f7J%|AHJYc<_+i>HnEilvf)E_&1 z5jx_wulBiJ2L->e4a*i^P`ITfN?8vc zx(;=Ge{+BLIfLb7^O`r4CiKYFyu0R}4_wrl=N50g!F*|a^_r~)+(BZ(f4SG;Z{n|r z05m|$zp~P`%PR@Lw{t>@ZR_6ozQeG%<<>-OZ8Gktixk3nDo}qu& zXba76wFr|vT99HhTqu%J2uTW^`qd+LuzvC8zk*Rkkh9`?BQcu`LA-q78E$sqqsg;v z`%_I|{*^41IFk>Tzipq{{$!U~>qN}UPF(uY_& z;qO0r3!x+=pER-P482b`6ctJVbXTjT-YeyTUD&Dip*15I)nW{1&^CbT)By5l#{%$C z5mJ6`=me*We_fZnAPnltp}P+&6vDOpoj5A!3UdOVElb!nA+#lZ`#M7*U@6nYD8C03 z1kF9DoKb^fMov%Osa z?<`L3;5_FI+s_f=RUS)$H-}VOXk#vL4N7iIob!bR%i{5b!y1s)JSk|%cpX$Nj~AWd zbcaO&-*(ZSQy=@0NhmZY^Qmf`wrJqc-{{vnS0rY?N+jslkzb zA^~p;bAfHHF@{v_1!H!0e<<=2&{BR>0Htz(W3}4FOpySs(;t%QAL@YW6zhlZulZ12 zmL2isge#m1S@g6nISIAjGpt&Wut>QY|RQ<8{K)nrIU%sJHNL2@2kvw(z`2rB~$W7kvY6H7>jG4F8 zE5ZX2HT!!(`H-t##r0R$0sfP@K)*h(3x5+l=o)C}+&Xq}*yMpb{4sUzi~OPl2kWUP z`5bfMgO?lKuSZ7UbSH)X)qotF(4#tBrsaqut3Qd)4V~fQ7NS|5+a^mOB_GCrF? zt9}x-Bg7eMxBXbV&k~9X8g0FYts>!r!t32i3 zIWXkEF&0qw!K95|$)`m@!1*(NBCyvCs&oTb*;qHVJm$zAe|WO9KbXDW6l%+S*n$#VkhGQO zq_`Uq*nbU(S7@7o);Wz=3*dp@*SO;*J`y2dAJf!{UQ=ilQIUlQD$X)E!@C1PQw(p2 z$j-U-K{=8@x_&Zk_^%T@pXnWs*h0h`q6Zo7MUr6j5qYuB&KbCu_`P{7f-q+8IN4`} z1b26z^&G2k0(asrWBZzLtmM?bYyFM{YfqnPud{f7@deN3$%$}Wu2JyRd_ku9RqpAa z0UIzn#(8y6iHHx4jC@0Ogn{`#j!%CCjUiPw)qdkoAZFfO8?`zc0=%DuJ&8YTK;dUV z4%bs(GHY<5elGte`C)r>7%%!*RF&E$+%e=d=!0v<3bvfoVK$q-aH!ml3w?2oc#Z#%91g21EU@bhp* z3hZsSGkR5pU;l z=mcS!PXF|92?YXqSh`1jBjI*UUW`g{1g0A57uq?Hp}hC@tsxmQSb5J2#!QD{6q#t~ z(?f<2nxr>Vcf-NQ^4VR7h)86~>FB;EMTW|!uicG~go5jDc9nW|5*9uc%`MU-gGd6A zBj*7L+()?bUnhoO-resLtEf;9;jD%!8 zmm3lCp}3v*S$p;m+P?N!9O>BR3+APbzw^SvP}hL&@gNHsj=mUt<+>UQ?~XgQepLv= zPlm5cAGk!pccRHJKVe7U~RmqH+0Tk~S{d<0&~zVi4R8x;zFa`IjI z?F3F9EfpNe(fCzscl+J%B*>kA7%sDJ57vXiW(u=jSXayXCn+Ela<$*(wbRHn1#o$Vr8kFNgi&%Kjw=z+z_&r&sSqxLT06+5I~X$N97~DQrY2 z7z`BO=^YN%N7d(y-iKlgyRDQ4e-y-j+z`0OPV=RdiF5Aq5y(Ne=h0hrG8mY=uJk=f zg={*%H;cMKc>FvmXpKaHHMQK0l6Ep!4!#io-XDT9r9<1_y(Pov{Bz!@Oa(#mp|eZ7 zgRpD$fwKXD0v|iSEIRF^fSGE0Va7@@`nDGK-hEF7BIo4IOeHF$|DA}x-%Z3Vm2*FR zoG1`_mpuK)jRL}dQj2>>f{^f1U-!!wGTd&67c^)F&#CjtbXSoM9glaqEoVV~PX?rksYxCtE4to;ora zN*{#t1?3eJwD*hd>3kZpj|u^^IvzWyM9fMao&zoltP<;f8qww`gziOIQU?*w^*_5) zF-8W5u8G)eAu9YXRTn=iK}5O$Mh3n$GNcmHDj0W0fu!c5MQu6}&n9!you%zpDnk4m zH!~IXe(Uj6;UZ$w0eXMWZ)Dg>=i=vkEDFxW98~gmAmYuO-uB16WcXtjvUA~A6qI}| z6$sx;#9bX~V$W#nOv;mI{c|n~uG#vK*p!Jly!DPfeK#2%a$GncL7VF>63-`oZ6o5s zKZ)gsqhz?L!JYl`N)$L1cGoKi5s@e7yoq2J84`+)w^>?HL3JXE-cleCk8BB*VaXuF zrQz!~Wx-S!5j|$}{%Zif<00&&M3aH;gplWoG!+KV{@GzN8Gx~|qrYF%>dzW?CCX+| z;dF2^(Woc@uP7IKz7HV-;b0ico}MW1lgRwM&o>aK^CR|cR+2$DiNECDH7fiq4EE(s z4M5B7b2=PhWEf@lNIB;d1+Sh*i}nlzp=ZI$T0?#VrFI_++37`#?i+9$h%gf<`jcK=c$!^n|) zlMd*Hx9KK+X zDi$tY7=|f!6!BXJ$dG+bjdM-I7QQB~=N(y*!kbOnKX$T&Kw{6M%+M!B;Gz9&-%}3{ zbTkmHTz}~e`i-$ZTlMv6oO|OyT)!`x{U^racRmn|QwQHyduzfYr=kSsYrg2Tsc<$% z#20doep}0%vxdRY+Q{AV&Un81!qa2kp0J}NVs)n00_^g(Qh)3wpr9UWkVkGXNNxXb zbLTM=Y#UB*b@dHFy`)~rZ;u1OO82RFcDD-3ABwd4SO2K$bUKGYdfxB< zmRAh1j$qePeJ>b0?)}n>HzojGO`rMuHWL^v$%$vm55;?@6J|waBY-gQ$;F7n2>WJ) zr{(vM(D-aZF~je0u;bSH(`u=SaSVjtsf#2$m%m+<>sth@OL@+IV)Vegh95UAg~)h4 z`2BjRR~TfQm;U0?c0xYAxc2Aj6qGQO+(vB)1ND}(b-yeu@rCZLQU2SZIPZ6C7v}py z^@~i&>0o>GR*%2`H9s7?za~o^w)O>w+>>hEmM$Q@>%e<~5l`$EX@7Ph%^6ZL_$cpz zE0DhBPi$K{0Z*ldL@*tu)phB&wLUqCJuw#JO)rDc^2VEeeu=I?0F#Hx>!v7BGXAlW zAsj8Y;2VBxcUU$QS-><09Llu4AMz*?>o!?G)gSW&qw5SCSsC6SI;f(OjZV0S-zitR z${ot%2i>^>T=2zQTwcmK5^6;3`+UpB8;nK2#kYDn;cCnMSn(5)cvf!A=t6-HJQ5!n z*!IO6Js$sd@_S31k)9oj4{-SY_ck1XGbzNa%Lkr#qz&xpkVLjS zIguZRXdD$|a#q~b2X5WmB~5;21~W13*KJ+Bu&n|wUftsZ7J0q?7eoV)^FJ0583F}U z>MM^(togyq{fUg*dxNk{E5cljJ-Lu{w)PJ@;E^$Kt2x1NaafAE`!xxtH7^zvSW{t~(3U!VCjf5k-*#v^ zj)LQZOP?|yQej`w>E3xF5o-C58r^P)LJs9zAr3_-D81~3K~BZ z9h9rdKyNXpn?1}32QwOb#G8%bq5Dio-m@_H+-9={9|htq>8&1~Fa5#y%a@JUKZxLz z{&B;uIS~GGtNG0xwm{V_KC7ztBO!fo>Q$~J0j?_3lSIc1@O50_uOJ$4WH)`^e{R+j zm=1_#GEA$WSm-b2*_*+TvuvS!xSEP?=X#36q@#e4m&Zj6pn#FmSnLT&TR3Je(;PE+ z6oN0y4j3oEmEw^z=t4#3-V@!a2@$Zo zp*NyA=7lZu?5{gysd&lVus^*$6t0adJuC(d(BV^m%btalQ^h zs=BtOR(cdh{c?Nq{ZlYx4Mx&EJrM$NnajEoY7yug(ZzVDoW_NRJE$jbI$>hvy;_m# zNZdp1{`}3$8#bg;J$-fDVK6So<-{L*Y!50CtCR78g4g|Flz49pq@KF-_9F>Px8M72 zy~huJd>Y$1CuoGs3idxftc0M)WIx8Rc)=W}gvX_5JJ53)2sat_K*>Z}kmm4!{Op^l zSKkAq=}2_wk^Rv@*+^;EQxDK%NFU6|@I&wD{c9aENyYXd44fPHg~Z&Y%Fta7&~&?mvtzF}<~AO>;gvyvTeA8m$9f`>J91j* z;?@}KpZ})97VHPT-NDq+Lt!X+E1KsVk&1UX(%v5pA%Je1#-2ad0+B&VprsKg_+?)6 zkIHv{@X65Rq%efRIaT=wnjy9rR`C)G>K$QmXudN4S1`zBDx`>+`D5oBt*TBDKloaH zwcm&u3Fo59avBFNfO1WUoa_rVs6Dr{R9ch__am6Gw8Ra94NsT_59y=(wdk9Uwt>*O zQ@z%brvDE-k1O+xM8HGECc`1~HJ~@J8)YqkSlRlvO?^C>n#&ZaZ@fC&{4H+p%TyTnP049Fk`kj7H8cl&bix z6woy59KST~itp=uTqG;wFkwiIsACoc-&!`R4^{%Nve4_J>?& zQ{s^Do27yENg#-7_@tC921AkLX|~qm5y0C}by?(>Kbobz(H-uLfc}(2UCWPyVQBcM zkNBuJt~99UJf)r6&aq~uWD9?2N*x}$!0d>(H=?Oq8cl&^neI9Fn;0B1$c)l5j{vEW zLo&~)fpAjQDRWB>2?v;D)*85Id1UqR;TmBgFioxew0#+Yy~4NTUj>rEaCPNnt3VL^ z`M1~XNJ1Ejo1C^h;!lR^_c5J?H162HL|o-A3&vgN&hw?{M*?v%T|?-cD@cj9(&sY= zja_c8&>yBhl)h^Tgkm`mu zMH8Yozxsk$D;t-hXapD^Xxg|aPeiVTGgCJ8LD1nMUw`IlD2P5Kb{!0gKpmIvX7d{~ zUG4ak`)Y3~8J`^>5(TX$lJ3mA1#rMM2s~#pN|} zILK@Z-@0SO7W57=Mb?2Wgr?r^_1s|t)#V?XC!4cSi~ID*?;l~fHrujQ?)PPouV|do zy_SVXFF0SBoru7_LmGVQvZC<3Bi}h`ef855n_#!_?J)s^4BY%D zq`d28G_uQgTu$5Li*+GICH_TMF<|)|NoqYB^DT-R56Oq)rw|o;2c@gn(G@z3G`(?L z;A3?-6NL}dr5`IlO-EISaIR7v+WYt&IPBT7R%J{^?j^-m z*%C+ex+B;eBy|m0h4e1X=8^Hgs;5<<$1k9)@t4o#4>K|6p+VPeau~kY{Z8~wjxxNu zzom%rW)@zP`11C(I}w9~-#*&#HU_m%TfWI{%SLuy$KiJ)fp{%^*CiLvIF#0uGz*MQ z$Esr*J1%_-Kx#PMd2v%MH2F?B>?#q0H^i1FUwQ|@xdZZlk3^bd*6XgY%kg1&&Nt@S zj<^trTo~CW*JO_g3LhqLDfDauUr59fRac%IEdtd2()*C2Y=QKS zPG1}qBeBi%WZeBD1VH)p50567n@7=j zQjLdImd4?$nNy}gG#@=@cI(xGF4X21*+O?GXHbHHKUNhzEup^l zhqR4W;oMtPY>62yOPY^E5ZgZ;xx)`;KBk+H!K+^f$EOL9TK-S^S!g73nL6Hg`v3nh106roXGFn7 z z*VS$IYa|0ns*msZpD57%?9OGM7Kkqf`K;ESkYU5o@29XF6{gSMKp!z0R|lOg;l54= zt%uXk>x`*zRfYKR#J>Q%Y-B#BkxGWkr62waG^Bz^!mo!_9|N!^JommsG8uO4@c+n1 zrow;o4L9Fb1z?c)z>|0q8B|gv_a0x4g3{F9h2u_vc>kOUzexodA_wb3RTHStayWbC zM_~X~NZxMQ7D0vsn#f&T?QcY5no>X(CF#i>)5+Ai^7>;7tFTI(VrljXt-GKp}o%6Q=w~a0!3+o#!M2hJUP(A{@MlZsh9ZgYNqk<{5wWXJqpw&9#+Va@}>D|U%!nu z3ES(+>&NG#K&?U6S@^9#?AbqB@miRS%?=q!w_2!BZzM$2s3ZcP&wZO4{bZExkayVk zjtati5{mxY41!9lOH+GzDA=$oh{20Mg^1u3IazUOU~!WDeA?3=xBal;kYypjHr;wL z_SgI{N>?PneeE1WMrHsS z8eZe%DlCr|&gYP}LnKfkf zAYbrZP;0IjHj);%uo8lCldHh)V7~*HWxQe0bCN)nZz|N4vq89rua=Fg+y#QY5*xMm zE5q7UPMdb6KUzMn`JqVry$d!ICz9LMAZUzy@Jty2Mf}Z3%~w4jtz00l%+?*cL=r!i zd%2=`V)Wi68E07j+~jsE(-~}+_O~h0dtgE=C0sMh8BTF1e@(e%4+&HHRXN|>aQDRF z$DiU|;YeOd6SI;HTvqE2zEtUkmKvt3Ve#(p&Lc~Mm)i_dW%yrMUh_ik{>@giI(P87 zz5AlGgAo+ocyf`k$sO0Hn@+{l*ue=FRsogM#^9x8^Cs_<2g(SxOcAW?;b8#xZH*x# zn6_jS7eC>NN%e^xSC;JI)hm5LOT)|13xC8+|MS9;4w?JPa}Ho~%fskq%_T4_0`L*5mpb|i`z7??q?weRu!VJ^sHUt*@=Y7L#f zMs=L_Ch#$bZ^kOd6=w|Z$FrK)fLGi}E%roX_)U#`@+!*>`L~^V9eBbP)~$c1=ZYGE z=Av=3SgbpaI(vq`{%s3~sV|0x(+$Dm{lOQ^bUvuu>(^IDbOie3yyq|EFT>q`{QKvc zeUNYHsh!lCBUsiSE4pQ^2YUP8DAye!;Oul@V6mAq$j(%#Mo$^Rt?T}(I}3gBkcmf3 zbgC0fMNLd4=j+4xg|h#wGJP@T$hwlXi3cQHhXJFTnlN=J%Juza0xCuD95<d~W+Sah{bl)n?ZqEz}JRAu#O z8tUt0Nt5{k;i%@7(CS4KEdMehwz?FKtmlr(y%MEj_u^UJ0jdoq@nv;%CPv|8sbCw+ zX%hO6@4F&)LKAr^f_L%Aq+tQ2i${LM8$zacCVbM1#;=k0j2y1HV;9<^h>i|+XK*eF&z&t7kwu009$^M$S`{XU1=U-o}+ zdP2ZM?Tg%VQprfK-1ntz(*}3b0qaev5FFoqqw$boGL~yU_i5F(LSNm#*V+l8_$Td9 z=8AYS>O5DM4zx8wFX1ifd;}7_4_x(lW*UdJt_5#Ksvp`7GvW8zlGT}cXuSBh~D%_`4dU7Ev$7k?^6XS!LEyJ z*OD-TTYQ4MPy=LmUqysltKiF)`+=uU#Ni=QnTuqJE0kn)`uKo1NbDJj6ClUou0HRE zi^hRaIc6k(&CmtHMmq#d_oQO=z1~(qXJ>eM#iYcg+!7|suQ{z|BqOfeFA*p;hGVgk zZd|<-FkhTiaXgfW{n2#_8Q;T!u%N1Cn;3Z$Zd$HnuV+M%$$(ea|Ue+YEU zyXPqGOu>p+jrNGUVIVF?>{_Uf1eHF^Mqi<1yq>G8b1WbnDxR{LGyP|R&oZcrogZS+ zazJj3-o_4YUt!B(+;54|yiZ-q4#y#zUH^sJ5ld*8ywP{)f)!r&E$H5}n1Jf1Ca&A{ zE+`qCze(|=`I%@QpV$&zJpN^1C4G?j_hKN_=xx8y`Q(@@Ih5R`D>IuJd7Ru zytkABq6!u(MGOfjGZtif+BF=Qp0JO83nhU@9Vf#XyLb%ze11;pb11}~>{}F-^?<2{ z$}6sPY4~PsuhXZIFN|Zy{*r7O)0~csoosVdg9XOkVZa?okzoaZJDC$b&?Xd6pC8A><1A209%O zo`U3^o2qw2o#2F!gfPFn9au$fIFQ~a;qf`f8|8XNus+t@-E1BOQYl#rALJ6z{tl(h z(kC1oq+f02&LjeT3LYjLNX3>nyn<&Zf?>tvZSao8Fd#kdXSlj61uHWby`H*NO%re=oU1KP zJRBsOyYRaw8AQZy3z7%p@jbzCrshx>7zVP7jMMb_yT;HEIUyAXKPxiMDEq;i!MTnI zCU@X@(ix)mA`Y(>lDzjl3xJ0Hjp#KqBE0`lKBe80ioDvd3Z!EL;VHQ~SVWlsJvo2+ z^_NrdjWo4RGus0c!_@_zd-%ZUcX91)*OD=pn|_DcNh>Ipdc>hexdJ*Bp)sdM6Hu5w zG_+_&19lTSpG0NZ!(Hahm?q{V^b{^Ba~{)!o}T3-GP61CToGM&w}?Z}oz(W*WIxc} z+@8W`Lz?h9r36iVRz@Bg${5{^*uVJq>8s@m_N1B`r-QihVQx)7I4C;?74)M6n@ot zaDFH`7O%h4tqLl10Kt~tHGzaEh_K)OoOnF}J9OvnJo_F7X;#zn4z46H|2%@gwD`$iYFP?q>=J3z{^kYK4xio} z-1LW36b<{?pNxhKj{%t-z&b=ey`szmwp*SGQoNXmboT|gguk1By4#nZB9%T+nMg_z zQ%yoci7JNj1Ex@;tVdriN6T&NOBcr_132T6`=f{+Xmi6 zU*o(r5(UnFYU)=w1bk-S_M5rT&c{Ps`@KyN94t!j;Mz@r zL=aCHeUOZ-bIJFTcZ7g3+rO`83!`B1PCr}SKoYX=_p13W5DI4(YF{aKTY+E2`tFX0 zaj13tj-t`JFT88tw)@ne38aC>ijzO>`5f^!cd0k5`(`~1KIaPLUF%m46er-B1|>ta zKnwUR_<2S3r46JSy(DVV&OxxF>P7LABLqFC?l%%O1^a`>tT$=CIWD9w_wtH6SiB)n zx%((!`H#t5wIKmrJK3_?PlmyQyTkWM_ehXuY_RbnCgRd(Z@r4AA>b#@74u^&8Jc)m z$8~-sV@IQ*;YPeate#dHoVWG|^6a;{{d$R*n8i{sRzn0n>!smG(q!oUC7k`7CZanY zq^#%N2!va^y@jH;kYQi@o45l%l2M3mBSK5n54a)^8fO9-jz#;~T&PY)-@bqjLaztB znHSw}a4Q^^hxS7~?cTTew8lQZ;|`f=y22X=x}!!jbKR56msxA;w|bTE|`| zs3+Femog`!A!l$p>6t&2(D&bS8V!coye*pEkcdW`4YM*Qf`QzSaPf&C83?cRq=jhf zdB!<-bW+F%^w<{^8~>7k{Jikl3auYXn!KwBUT$!X|IlcJD+L0U;#nWeC89*BNrC?R zQ21ujFB-c_hMpF!v6u777=1(aMez9`hzg2b4Ns>4f0^9mpETNj_wT>kiNPQxlgYGw zi2@z`@ofuRlQEeiVXx$D2-r}@U3YL>1GALN!LMrx*nK;2=Z954`1(k>MU&Pijz`>TE77Lj1(_l5|2I)r}gd6kIqyPA!3oISvcU8RR3#trl}QZAl9mWVHM z<7UIyy}`8Y{$2ZCJ1|&?y!GF|1dNjJYnspUfv$%ac^_Jnp&5|x`1M5mbn`3eb5bb$ z-821V_ZS%pW3r4HWRvl}Q)T$1ehAcxB);>a^M|{Sc)p!|pNKt4g&Nsye!wnM{w(__ z0c_~sE>_%2M0V$Gmy73p;59K?*2IGXlKL-)ZM&1utk?eU-eaNAqV;75s{|RC>i!L} z|4T$CzvpfNaiQ>v?b5}TB^THolg4J@l8D+*8_yp%@B_7<+%?l_UbKEVa4nmZhz}}< zUauwkg4EMFF98UGE8;gEnl2?Gz3ZdhXZ?L(mVrA}xWWaLzHU7pnUsh&N&=FM6$DuL zGWm{&-xKDZDD02EP1BjjTl~tz1Hj1J=jM?l3Y3K1QeiVs##zPch;_vf;K$CnXSNhz zQ+a7Q+MSF6hRd$+w*VpTki=*)2D{mnRt&C!R3WpYnp(S@#R|Y*FyGL(#hI|KGKp9|kU6JLdcg6Oqg8laKkUU@*=zre{7xfcI0W^}Q8|sJ}2Va_4U#Oi()t z%NEF>aLr?z{PQFf4KN4(hhETOQF*c{BLbw9u3SB)?j!4UiF>&c$;0l0FJFPn3(BP4%)^dc%Q z3=Yd#o;dy29{*M{MC>*Z1!n#vekj|9db<@$E3x&KjY-r-dK ze;B6}scfOLGYZ*+cw5OPGkfoOILkiAUdJA#WTZqSS(WjjWTg03h$Jf-G>lS4e&_e6 z>$sllJkIC7@7K$9o(4Ri_deJ${#Yb=sXOq_R5-AMT*2joIOu0r+T@i;M7h2C;+jt* zK+DU3E}ld}A1CWB*gnodd&WQSwrnRM;m@PH(h=dXC2Vn(c^wZfy`43gCS+u39#LC3 zNA*g^h{dsG3t%*SI&w9{3;8{cv9#5TfZ49;roAIra17I6J|Yx{1Z+;#FFa2|I|U-n zeur|9f#h=4vT*{c6JNVT>zRUL2u!t0&N16Sw*p!$j5Z7iOEe1f;tmSodVGV8YmKK?8eNizCRv?d0% zvV9M?J&S|G0V+ucvQm)Cn#Zr~?iet?`D^o(1OeK%3hwE)r6FaATU{)l^F}`JniPYMrK2c&p{X;18yf#PDxawIkB9KxTQeTAnP^;D z#+dn34A{&C85vx3LE3agw-&85w5;wbEX1b`Ok;P8mqii)1ZVKEs+lN+OJ&W}Ga7cX ziH6+)GRRz{Y&vN(71cMe@}3{C0+ycfTL~8uVXRBK3(u=!vi-^Et{vg_c0y}PPZ74d@@n^6)yqf`X~rIH{^Z4APjOwP0mDw zWuVveU7~0v2&BL6MpRPwomH^O==y;y)D~IhvAd0fjK#RvJZj%7%6uw0S&)H*Wu&FI zsJx+7rZ17^7!R{orb9NVzfV?*Wfs@OLP=R@%2y5&n4S1p5JdH2Qn5zc#ob7_=6&v6 zs5J?y_j9kzQFFKSBl8WGh=Y?hUAtXP@i3|uQs|kIfpEs5(<#*Zk{pye=_*2o8IL6Y zDa{O2Qjjsq;~fRe1&XVZ-(119_rK>%p6LiXX?!1gEq zfC#g9DCFce*DD=}hd(6Vznvo#)X_2Xad(9X6}n=3uMU%erL5dllRXQWq~`CW@e!ax zd8f%!Bnm3&T!er9PDhqY>YQtp5imou>})9(4cEs?lNvLqJ1AKuU0mz~Ox3ebIJl!g z@XfZIJSPPOe2WsBi1vcbwc;BUV^rUKcSm$EF&)*EC4F7H5)M2igw+4&{XmQ5<2|?f zbTl`pgGCNFXiqz-^$C*z8-blF%zrbGwEI_%t@S8qJ0X;MaXKCtEarmfsCkKNoWQEv zN5ZeJ1kN|_qT$c8Q`W>U6vW;%_~(pt0N6C z(*O_h<>zFX?qwj+zT557JU-A%CF7p_ z?!Ax#BFJ9<$Z5YA3kSPsHD0l1A(i%Z=9T;~IB;mwF5Ei-Mj9`^3@oQ|@0W?L&w){} zw54Imv*!mX=X^8HHl?F7+AlPcz5Wn?-n6dPB^)$0Hg0S#WgxUfGFoWD0>?1comZR$ zWyQ^=+Mb!H*k<_YlaGM9VM+WzFlc=s; z3aa+)U*0hx0%^NuxYQ;AzCY%>g{93xXM;JyIu3<{?n;(rWwHwN=C6=5#8Z)wvih4H z9WUsjoqc*UF&_R)Bnk~t{o>@C*5OB{(NHlRAEM3>0jFqY6^}b*BmL&f6l(dqXgGMNL~tYno&D3!#^#TQhU>az2Q{ePJv6&meuRR|BucB;975quEA9=- zOn^S!Kjo)-DX42-)n&S87!X*FGVZxYh6m~W1wBWpoVfzu?qI`U;8WU{tkrl>xw1GK zEkMnkmF-4WH5Oj^GQ8tBO9C$e_D_YPnW&vj7UQxJ2`^2Xm=Bf3f!xvdh-+^%QCO|K ziR7O!kn9^DIdvl*cosi0p3A2oraKb9KK~1YG+uh?x=j+;b6LMQ?@YbU*4$GA{V33R z{~^l%NeH~U@ZZOg<_wg>Ep@zdJsb)MPGb9GF%Xz~M^>Ue1I?uJ&(xTOgH-3iO|>Tk zI4GC>Rhc;x39fI`cv3knMqDmZoG%`h)pir}n>|KyHr7;0D;{`6H8GY*6SYp)>>Wti$yE!!x4fr28(^KQ+r zhC|KM_}dCkF~Bqx{rT~D2GUlo>h_<)!foBZvX>^p;b*A9i&I}R(EE$hH@XIKAZmG< zVgDIBD7;n8dgfsovUB(_R6*@QY*?30m0}`PwU#)<-ONC`{C?`+T%#ezks+;{HWsGL zSL5WVT>7?|{j#}oB&5E4nXIQwfT?eNY}%t#KU$Ler~8QjEUDHiPLX6NwH7$0JCcbi zBVK*lQo+Eyl=;<6QZz_rcPrLNWTKIdJLdlG5#ay(wQWHU9@=!w=xKK{ki|`!>jCTp zxD(H?`IR{a+C<#1r2A(gMTv^ko3AmDUom(vt1A_Egbj{{F#kr!NFK%P*no; z^Gb6px!&xKg(sgSJg;SIL$ndvSe{EkDd7*i9-8{YbBm=cy?udjPkmr_z&I1lXx@k| zF0z6f;cVYFtq5Sm+~sV_o{f}gQhiS=gu;&(mWNXY6Ck+k&G*k=(~-=>UrtvWqM`bA zlb@ArJm8xSKDScLLd+M}{(hGvK=8h8?BG=r+{B)CoVu5Z>}HjBO&&+WPd)ZR&TH{t z_fjd-a0DE{CF-$KbF>iHR``!H#EWg};bmKrO+Qho3T6KlMsJ)EoG?NGLR~H_VElfunMpG@J z7%Qke==teQybrugU^tNLyp z1*OGU(@*YTA(u6OFNU26ZO!Moa`iKj^p~r}iKRGD{kSLKWQm8a$?nF(T$!j=U2!+? z0}jZ!+^sJQqQQS6MvS8_6HPC&45SGWL2qC2fiq4~uw2^m?2%0->Ikf7{9{9e*8+Xj zePU#&cjg@QcthO_o9?HADnxMSXI6WAg#@;o7SXxX9+1*&3DXjY0Bi%9X1R+D?*>e8 zA9=IT3C+QcSPufY1kyj-uNDW#&E(>uOEb~_?W0SjN|BKEz!4`xB17?8S<&rR6qNrs z?alO091PIe96inz3ys|?oxMyHbWYZ&Rj`Zz+%flFgq|dU!5Se~F^qza%<2&Kf5gM( z3q+mG9umkb{lH{tQP6moxnXa2ILx1Oqr>$_fK;d(TTgZ-$~{se(XEby8iC16CtIUI zDqsFs&F4(S-$^M7SK#{?1=M z6Umders=8u%i4d#_{dy5_~NBUH3p-ISZ+h_{c8`3Gg=c&z4Ca9(Ior1fB~}(9y1IqLP=~!RK=O zxjQbtaP#W(eYdvKkkZwMT$kQqp@Q{xh|<{v;G1GlNjgD6{}Oo=ykA9vc!K!eE>8r| zNOE^GP;<)icVlak$|17l2MLT;VIaQ6Q*a|D12G0FnZG>e2BeD4bKXnA@Ly@h+uv`} z(cZ(EY9T2Ph@vZSD)fni@yBZ=H!o$OLh)J(uK*5|k|S0Nx~RFJ#PPVlN=J|0FgeL- zML}bE)veKPPneihM9-e2A!&)5EJPoFur0)gHTILCbLfW&*DwVw`Y>$vk|N;35UZyd zV+71ag|D_}rX$|cwtZZJ5g@vlUbXy&0FE{;_rvc|&<~#5g1sJIpr2Qfa@)fl;$}$8 z203X6-}BpMNjDtmwF7h~C#f9BS!-WbNacY8ibMv1Xb9pDG-W#z34yAr@=r{%kZ=6S z<*?tuU?U=Vh0utFLjLN3C2HS>2OEmLCb>dPTEa=Pf-^j3cKs1)lZHrjx4GrrFfj1c z`NUhBaHyN4y8t^t#J`NWl#WWwwN4c05FouT`h50@XsCL%HFCi|3(-8NI!wyNfcVC- zf{cBMusHC+Oiq)UN52;>nblEnA`K?;GW>w^k>oW0`E z;WM9@?1l$jCg!v}TTAq2L3B(oF%xNAqqlStq({L#ye_P(F|Z!^?qXeID$+RJiPA!RNu?)vUJKv15SxvBE^A^(&-wzpuka-u zoEr!Q6|GHv&q5`7JZj1kZV=~4a-P`H2E2Se@mO;zs+PO*tn@@E{JHCCw_R+DiV6+S zDGa6}bB2+BQ43y>oAEGuxz!sSXLb zGjUHvsrNl^?F~l(vDi_pw^I*%>y6XGsOO>g*RVpBlN$&W-EaJJTN7CirJY(jpN33^ z!j=z+1;NQ#HIcY(EIPgQlVz$V9X&sL@{!%R7~BamCpW8-VNaAX)i^C3u~-b%q#ulf z+a)jadem@GQte;*Pdy9Kx+cB-E)@r+rYB3h#Jzz?@l+v9XQM>>J4JubM#JsHKlO+X zfr#hncg~hKnW%N2{51uv1-jGvEU+)Z0kjodRo!HBkdBc>F26VtLPh-_n>KjCd`7^@ zqS{pS=j-dti~~5h?Q-l}a+NXU2tMW4JD7t^_WothN(R8Nz0|YHOWtUchOPJHn=}+e zQEcLgb%T39?VdN};Lzl;yF$O^Gtd#sO(RnVP4x43-^CG6GV~UbxDK$TAtZeNqRKF0*WUDc+GP|An6v@uiJdtsNtil-a)xo;A|kq9%siOEe+=B z5TSH**lc23Q`-U(qa40}KTP$n655{ptqf!~B6hc@Dh}4$na{bM4nsHW2WA=VGEvYv zBV`P0iT;V1hgP&jpqoBfH?QsHftXFaS-hGAT5ViizImKP<>oV;{fUJj_#}F=t=kfD zC+E66BqpHQpiB#z$U;bB-f;J;S4J;b>g8+6k!YhjtXCA551bCJc1}~8DC=-{n^9F9 zG7mrZ!G0nS-r4i+|Do-Kgf&!oS%f0c%Y8j+_xEza_|?lXeQtO3p2epLR}hbWsxP(& z+7!X=HqE1>O_xwmdsFc{MLB(^Hux&Q*FzEY33C5qtC+21`#MmaCA+bj3-!R)Q2S$m>BYM0qNdNL7< zN@m2flDBigNh6QrovwBHxurM^RlqhIb zodd#&ZTVA){%GLIAxZK+G9p=Km$7yiKypTU>a?{b(toxtUX+7H?rlQ6Gu*k5*bUZZ$MSzB z|10-J2|f0t#XFgBmu5?k(C7tjnT&!s#c*VI=7C0*SRQmWO}id@VvQJ8MFnm)#h@WK zjiTLaxp0N;-FNmoHmH11HT2k<5EQO|(!2g^4zxe{a=6x05UTLUu#CNUWXyMsq;i)6 z2`-a%8vg|#eW^m}2Lqmn`?=214}Y>i*j2!1x;q%Hn|Tn){1GT{K)HK`mWC8G=Iooc2t?}sO)Ev1EXe+zCa0t50n55tKfK>WqQ@3SoQ68t)c60kmEYO}wd+oH z?xXl48I?DS4wM`q=gVB%eBg)-e@7Y$S^-S^&@rD}Erc*fDe2e>0^D8{Ic#xG97z;Q zh3@p`!~V+!k+*6hz{WbVZed;y-ILa$zsFwyi*2UW823=HNt-`;>!UDiu$@mWeN_nd zn;PP+DLzpDWsdTwR{}lNSjck>ECdFZS~0p<55T(8i+CDA+3S}@csH>IyTM` zydKKAtRI&{H|S+LOh)pd^6l7Ejtw5T?*v)ko8;lqB-!Onc_CQ3yz|N_#=w_V;UtSF z8Dv286F#X@2=0c5W^WYxfZX0vhv(#4mt#qpP&$7hOiNs{b-V2fU*3ydd>tSQ7t2ap zL!RfuBwt&xivj`4FCM6}<FQwH)BGrs19a8x5h1DmG?UbkW$bv@LgO9t72G zHJ&aC1=fao%JIm#t{db2_y747K-Jv~9c)*;;DCj_z{?S3^l0xn!*)sm9K4^+L9TNL z?H@96KO+=T3zwb#j%+@BXs1ap2L@;1Eb4R1;!PZsg>|9V;i1e2j!a-kt?4|!s86(9H+yNY4v*17d zIsEGTXegsuEU=k1MRb{+RKU&!R2EpcFdYnRWM7^wWj^#yU_j{gQXV{QiMe+Bo(JTF zw+5N3Y9aQ8+-XM7e88R?CLdXFhUe_G{7QK$h@am2eR~1qQJxuD&zJ>{YHY+r zA{Ok=Ih#(48Y9{TdEL3(OnCphDNJ!X5@4!Qv24#8?eX1MoI0HY-Il(=#B%}QTy9|{ zp3I6STBKFdUgSWnYV7=rc~{7;>%JWP$N=GmRtyI`azThae73er6B3&uS>hyAP@}Wj z?HKBPo!u9kPwyg`6N*3YWFx zCIcEte@`|3E&@-r$TxJgp3vpZLwmhS6Z))+9)30~hC10Nj|9)-fbkgae7A-Ra`p%= z=UMWAf`?*4y+@Kj_|W(vjR*WlB$V5aUK|)_;6sDr3j+G zP!8TmB*3>%PSF>lR=YYfe_e6*D};j;Z3_~%@zm7|vWekOq_m%V|CpgeI=X#l%6GbrH-j#3cbG$p4}X8|a1lW1^jhz{&3RztAeSA* zBtc^V=Q8V$NLbxbKY4ZD9yu$!U_Lgcfz4gIW`%4lh+e(K?XKp9wqLjQ{pQPoU5-o^ zg+6205mxvxSfv9FoJ_mjewo1c`^2wg0dE*RBR2esd=#9!hBNkw1OvsWrg8Cb1iX25 zI`3AaIl_-AdB}XB0BdX&A+6FM=~zxot<`8kp|m5TmTD%Dis*5z?3WNThJGfbzyr04 zCE!k5QK0MZoqoL&fzYo%@}#-`A{=--N{@+6g`kVg@_PS&9;PL4l;(>I`gM2fr~*w6 z)HOd7#vn(ecqm+}xkCqb$*=qT*E3-sX(Zo((;NtvMV*uNIEeM1#=KO{18J*@$MZ*t za50hpj@1nu^lC>OyF~3(=RIB)f_VrSEnNI`@C6QN(zD*Dyvm0Z>(h8*1`bC3Qxf%= z2*Ag1>t8Fif9|kO*6YYeg6?V)JEi{r{}-|TcE>s&yv$pdIlhI%{=NP6V_kS41jPK! zkSqXN#=pI05AaZho14ba5`dS3O}Z7I56^beHXct$z$YC}ui8g=c>dMajPqX}4Bd7P z-K2WH$tkV&M-$;NG;7e-Cr8~uqT`4*E(lCkCH0?|g+ag)&08EVdeQ+j1Y0fiJ5pxl|efy+oBQ+3q zY4VEx`$GU$OU;|h9)+M4tg42M#lYJ6kwbQ0!lB|v4$lf-0jw!jwK~(eL)&r>vFQsQ zQYr-%vRVs4D)K@?(NiDL^iOMg5{rjCWg#VPp+YdAuN*&+!O+Im@7*885F|JH|tJc z!ZGl9`ShEV|9|i4X4y3cLO#^Lw7w;&jEDHdA8AqI1bF)56$hTD03MT%xz>Eg!lJ-EA#g6#__;Q#>#z+ z%m?ddC;Bz^5n+bGYR8(|_mqSG`i?f{!H*D?;IzX8aEmx&EIyBicT>sw*3OR}4=OqNpvQv<&5z1E>+d`l28E4`GNP!9)v^G z&9jCE_wkUC-jemLumG|zzw|38z`)xt8m3SHGtVCmUPb|+>74hvO)IC+(ckki43v~xopPJg2;b1&vJO6 z-3`=;S0#O^`BD}jXwUu32UQYxYN81aIBs0DZS5q$`dt|d)o0Y4#>f=acj6(SR;T&9 zeHiGUvZ8-3nGgL9t~*)VUa)1z7gD8xfx3X*?OhTz z)sh7abCZrXe{tYSF?cf190pxF926aF1_ZijoOeGS3CHl+XMWQM!@n=eR=Z5po$_Y# zjHwL-hwt5*47}kmcu96Dlp_ZY%x04+t~$c%LaB`GZV)`V^E0{^e42c5q{J z^wD|qAb3H$$vj>|<--fdm}Y~{0XNV6le$#CcwlpJrgDM;9}{X1J&wRan7=?Wfy&FS zh8N!(MP5^C6A?t=D+g;~S2qRne{ydNk zWMhjn#2-5Fc_v)?nkgPSM_p=+e^7T{bFkh#Ivgw{_hK?#LO|&n=gDPCDmY%08m(@R zg#O#&ig%j*p>q3CnbkN2`fPt@Q%Hf(oJkV8G*FVxxE z3joi%0x6b7*^p@cIX!g91||*CFDSM8!!#~1;rv`CG&%W{mea|gJIOOd7Pla%lK2oZ zTb2R0-o`Yqd*FapV1}E?2?xeQ&sk!qeww=4`&e+u2inFi$%>EqLvu8S&saPga^6p( z);V{0aL0(=JuDcaIr{C@oha~Qgmzuz{2{Otk~^G}hXu81)e~8!>A*~1a^@{fIP}HP z`ADA)gzyay0m8LpfDden9UGBwVeP|KNS`;jGM&$Po0|bXIl;Hv_yU00TJ=DkR2V$k z6Mh>unF;5_}y>@`fMqtt31fzmx`|)84fasW>q56sm$MEUXs=Wg6Vi0N>i1W1bQGua&?fbcVIKU z8wP4xB5W2IlL6Bh&08rP4FBB?&$9XE2kX7(IF$AncXPy|EPs)cVe%UZv3swx6ejo_9zFp{=*ZBvCwE z3H##l?`Q?~I(Q z^i2mp4SY$3rvGaBQomeAy)}xFM&7}2p942i#GV5_f*FK+%=+;DD3|nW#Za*Sw6IXl zlLLY?+!-gO^`KDrwEh&eXSRpzDRn71uw^j+&ScX8b|gMIm&Ox-VPt^*)VUmJSRj#T z=dh4Lc(NPTj^sr;R6ix^yA*LAz(8VW?wuR4-|Ge zx|q;#Fg4$M9lq-Yh^^zI%CmU*jd`*oJ{SoN7sRwL?l=KvztgvY4{0Em<2U%E(hHJ3 z{SE%91Vc<|-^_YyGB_ns=hj9B30le~RFt_u<4j50ALVqox9)S|%R>`Xj1M)nsd9(r z;5i5FrztSfl+;wS?v5tDI1t*?-JsUeJ&^WDGC2C;vnt+Vp}JJ`1QdkA=LX7~d+Uji zI(S@tNzoIGg{;nBy6Ftji>!C_f22eA6WjG8R%YocLRs(& zf?Glwl)b$xApP3~byP%#-ga<!Kfg$TUgGRPsZ0>Y=UQYy zWYS{%!I&@T-dE9%^30R!WBb?8-6UpPqIXEauL zn*gs~^qzUYA0XvRzM8s+2W%DIb$vAv&ZduT6;OHXKzE@%Gd}p#kYTr$##eYD94bu>8@^8AVHK~L9ORV&JXho^d58Uh>0H{(VP_nu zUM8zWPo_ceop0{4FQ`2Fyw*A{A`G-MoO=T^Q{d=8Rl3S17pfo7tLz;O2P`MUpma(a zgp6J1c&_UJ&;Hw__cX$St9;1AegD$nN<%-UHp?1PK0mkoRZM`oKU}#k-_k)@*K~u0 zgn@uT&E^p$4AAcMe<}!12F??quk4QKqSLceoJDK|Fh8>LuCFg0Tw0aAv-SmnLv6dZ z+reOXUQvNvSV{mn`ll2F7XloV=-PX!hy|C2qsGVMQs5bRV*2}zWDHW6;Qd#y5ql8WO z4r&iC?9sL*Wd?vt#n`Kl&jY|(kn4F#2N^hgTjT>jgaY^YYP3H?IJ~JbCS^_}0Z#*O z$L3!GoV)X%>1CrJux1X?c-RvUpSI2zow-hgQM*UlQt}btX-PM1T961~F=2K;j<^E4 z-P4pS5DXs;m49X(i-!Rj>WC6N;D(8AJUi8+alIYyFY%@Uz3y(kr$;Ef9^TgzlZAot z{r7%${+A5-#~xm}aViX~45=tM8wOwNhkr4-r$E84tr~ucAvm0g>Tc4&f)SmZtig6F z%$Q+obQfG8MB)Mej&eAt7T+Hh%1DJE#@Vv7V*%j&g0R`NiGiP=PyUg?ra(eXaBVr2 z|9@Jhd3_4T!$*n7=H8WQutEA3)t?j&Il5mjP{uI8MK?R;^eG8gREC^$nvOv+i{j^4 zLMRCJB{I?6OM**jLy-$la1bB$_It3O$ehKJQH74ieL-_K?Xw1DcJ;=947mv1eu^? z%eMuK%p<|^x!~mS)7--ZTdOAn#?F0hh*-2*)6t{Y6v@9nK z8tEA{w&&vE;*q&L24Qbxy02MSRxK2`E|g(7RY`Dgf78)J2MpneO;cgzwJ4Yf_Pf6C zbvy);Tu83RCE!Fw6wgH;3<&++*k%4N0a}(Prxp&lAa_lVtoO$Wz}OXB`kcB8krYgP zMV~V|hl%W-u#AM!zueBtiX`~;W%!qsmKnrN)1TPC6$(a8kH%`WBH{Dkp*UMEC-}uU zq*L9B0YClc_fN^kLuf#<{6e55vKgAkKYtJj=Ba+y-_IsM-X$(`SE4;SsDI{Z$51Hz z3ut32UWU~-IjO05X2!mHs?}AS(k*R;b+Qc1yKeY9H-^ih)P|zGI>Z0X| zgGIID0uINt;SuM3$v<;Z(6z8}n`es*HKJxccLQ`#j`ir($8Q8DI7*xI;d z%G?lPb7~QhJyU?f9KcaVqhuOxv$CL0x+&|c>Cr@fqz?jwd@}fbnn0X)$Y4F zvj21=d5I|$7FW6EKaP{(duxRAp$>P%`B^ITaRd&YG(DzB^pe4@obApmpATXYH!C0c z69EZ^2XcG{q9H$ZxmCA~5xQ^AY8NeIfX{)<(iehoC@{4?dA=0 zIg?;NANjA&Sv}PH`M5ighX_3^qO-R*N$|jh=4vm-1L>VH*w0cJ2!FJE-{5|eKuWFm ziq?5QRB6M|I`+^XAmOT18;S)<(Y=Rf0zy&nR*Gb8eF!Ao_R|-<5&_`%t9p*n9$swo z$?SKb`Wcr*)z0HM7)UghcsXi?qJ5{yloggjX%ko?3f<7k@b&5IUqV4D z=XG3YLmY4f3mKcc1tNdKtrZ>@45YK#eg2V?0PD{bhXN%$QMH{%*gLLp7*&e<<4oPn zTgASb=AF*y@21Y3CVc|Pb~8{K;7k1_HwVF|1?U9u5Y`@M8d!F z1ok}6MA#+f3DfwhjO4`knAfLZQzW7)GrXg~G(L*1`SC|t)aH#?31drl{bWshST!@})t_Sxgr0T9bY(mIO`f};Y)ON})o*mp1O;gJq= z^zLCnxOo-3CTjm#w5u7lPj#s6ogpQO7)Ga zeL=KGz#wve42*A@j6S^=iY{1%JV|X2hFhI~(>g9hL0&2QjhN>S@N!>C=c%(1AXRq1{%+vbU0#IU=az8MT3e&73d(m4i( z1LlvONe)16Tn5)<_hFz+|L8OIo?y6LFn^9vi~$LUX~tFPQDQUl_*CyLL(ZsuFxNj_VY$on=}zR>pp;c7WC9GHyX^%Z|C-IyFlEv zce9@=J>d1pFXrUT7^w4Pp{rtZfFpKM(fRFxz_~f<|A2aZuVn7Cvn-d;i$g3Op6d1> z7c|Cvj+&R5o<`i#br$rqbEk0pxf8^cI5vzJ5Fz~$(?ed}01&!&mxuJh3wmBF9k}ll z3Cf%LkDA&%LG8VAPz47D5+Aqj&a9H4u>Vuv3{Gp&+`XO$Cx~r>M+`RAX0h!Rv)JnNRxaA8CkJCgj;?v_aPw<4RpU)^G zQ9sy#-t*o`abVH!J#ya90X6-FT~9R&kUF9NJ+nCqR;ukVCY{?|x8;hjFjKihA~ooA z_H`T-`^*FzvIfDI{R*_llieXb?3B%x8y*JZx3!qu{o&u~?9}nZP*CyeT)!6{2Yu0W!&(Fp1Pux)O{%^bYb73AE6j*4$Zda9CU+2EqA#;A4)=Yx&M*nIg4QVQ)S*k zDJ%H2ZD6=o6@@YfN(V$4@_?Mo?IuC*fx6%NDKAOm&<)d9y-vnCkm~YXSVSxcImDhl zv^E%mK8pkoADp3pvkJ?K*g_bxWl8$+;&K9#`38U9XxQCZ@8|aJ`cpF=S6c84gKrch6Kn z=C7*WG)4?q{FZ$OsPtG;P^ zGjJtF_NcaIplv!sH4cw*U}VJq)G>4f)Om3GY#{~FFI-*fv8n*yipj%&^Qau~R7yU! zGXrU*jg>%CIndv^HY}m-3Qzd9e*LP-K)N9Z+C!GhL2&wKPHeg-u-hIhV)dq=ogIxa zLU09q`^M$4Cm00Y<7YqEAMr(8-aC@&b=gp7?l}Elk_n`dH`Rx_@Te)3GSaA+2eJE= znmI1=f#0{^hTrr_NRG8>_pxRX*h)WO9XGH-<9DBg?f6Ea4!t&J!c0E2x1(_-MlICJ zQ6$JROh#TWylc2?i=pC)>#@VCHmGt-wt!bZ2%1OaX^O|AAjs>^sFGSZESQGms00N7 zd&~ZZ8fH|^!D-tI{JRWwCXOb%d%^I-gR%Y01u4kVZx^_rl>kh0{qYsoLZQS`($k1+ z3qKA-7`ktfKuEZbP@3um>)TmDBTXUb6a59=-}h4C(iKR$_%#4_HnISy9H*RNY^(?QUqn<*~c9w_o*vFLVB0{q*T za`4o&De%0L?-0reLins|`yTTY_`Bg~srT9y*`E?m>|8SicYlK>bLxJ3ryNXiyzh=4 zyuG-1)!z-Y&IpA#NqfVOtQE1SL}z$q=fjX+7m7}rFi0k7@s)a9l;s`<4bgyZ~B(#hU498%9BL+@qs61fhQO$(}j8yqXNM!x(NF1 zVqhqm>(MUNAG;iXCMqZ4;DXEU;X!F4ocK>>*LV*PdS^JCfwlx^k&b;T) zpC^EI+3>Fwu?RR;{}*GHXaLvs3GsE`@gNm-_FYZB8`2oevr^)Z2RVtiJZLitt~O9w zr_(Q^+mWmsGpez09n(^Bw80nbZ>Srd8je8U{I_U0>eImS3)}XgaSTk&XlbPBM51Sl zS$EPsQs7r|yVfMm9W^uCJE}O~5$nopIMWdiReQqsy)PS~YRD_jIUbEZMd}LqwX8-83~_T^g~Bpmq;H*-st?`&Q}WGHWm+;lXe#2l7=_9qRvGXwU`wqil>4L$?Q zi9<(al|l|jC4ulUk6r~l9xgQvrL(hypp#X13(Ce5pw)Heha_(ls9C$|8yqr&M)^#! zz$7BPAMC3C;T!=Ymj?|?Q+?nCQ@Ba12@W=bs}$t|oY70Z+~+^XtRbp-H1P1Rba=UX zFLEcC3_6*@rIS&fklZB{$lc-zj|*L_^mxf&WHYKab1Mi0esyZTzQ~3y7U3He`s1OO zMrmT#6NBzE1|4lojfMQjfA`LFB?I?^ANxAXPFr-% znW;4T5dj|Y)_QP#kB74gfyN5)dVnePR{l!$*pOjOp|BT8@FwU)gQw92c*^febK1)h z!VYQ*#K)w8uX19!$W8>ZePw#qf=uTImxk49m`l<2xf5|FKqoymKP zg{Kyd_WKSeqaMG$JIR3WbNT`l@-c*6g(fYxjSA%a0!2G4(87aQWD38K& z(&A7G>;=#hw+JCfBqdm!XU_*^t(5hA7^M0D{$9YF{o$ym{RsB0oh@p}9i9H#jE9^y zG52ca0JtGq-AFb}L3XFLD{IwKK>wJC-ZD;Sj_nyZw&oRz9Mn`ep2w-zxvRr2CD(J5>*BD!d zqg%~Qo>Jyyetn(#Pg4B~aLeF?I5_N(z)T5I&Lte^nz9GC{j7n`YivG^W(h_~VkWQ%gyEU;)C}U$Ze4`(Z#;X@L zsq6KT<(JbAhYd5qM~P-Ud?ErJ`q|Dr7##-E#~qpO^^@x!xVdp+*$1U_c?|jIhJp5Z z!y^TxBzO{(P$=3Ki{53LZapFML0o+nubxCYT-kjd!J40n%I)!AEbtic>De>v|CkB` zG>P#@BnjdFa~9JQN(6QLlo!NGEcAVCD%N%iLuEDHs}K4UK&pIds!0zAvN;Tfmk#35 zmmg!^yDF&=-A$~&Z<_!TA{TcmJhKsxQPZp21|*<%=yZI;77qo@Dv~RGsc6giz$qS* zfX(jAN4B9bSh5~$$aq9R9b#?*OZ#b{<@0v9vppR2VmyW$6tWSu6o;fOe=1x$pjWq| z!h(JO?^BA;(~z~!eXS@)4^(Tueo|=82LgX~{PY+#1D)qN{;^BKh&TU+e^f#QjEibb zTsVnElwtQnv`1`^CGN#oJejvr-&!lC%jzP`Urqz|L0yzRb!VvE76X&Ml(h2-zKAWd zsBt*L8_B$SLvhQ|0seML`>e^hfPT&s_8KD<#J)dTcg_j}|5$ymo#!XtzwEnPxovJ} zviDD4P_Hit3tlpdD^LZdx&datC0q0cdpwDSE(Cr@*YQj<7$Msll=WYJFsi2==?MpY zC>EJlly>oh56|dHnd18BD`lZ)#l0Z-s5dcir;Z(+>`Z-Gwd{}ZRou1lSKMGp`KPSb zh8z6ruBc}&@I=9GGi{x|z7TIzTBs~-4NV%o_cA|W(7-;Q0Cl1W{OlDIxV(S?uqKJF zG`OPZohmQBY+o>2%hg@J914e)6INQtewyS}JRv)83!hI6G6->m!9^`>;Mh%n^m#Pr zk??m9V4Schd}j~}s~S?@KlSn>{aZ$5J){*=Rg%gh`meE&U*C{Kp_ zhc@ot;!H+e+B)>p6Xw9mA(P2jlLRjteU4SFBqMvHZ(e!NOrhlJ{9joy5?r;B!B;aS zqxIKv)}NCM;C;CLbCo+}9@o2^@q(OR;}3qRcAn6H{n?mSRjD{A6+KhW(4B}<$K#ar z{l%d6;mxcU$}#XIh7_XYfJ3)d${sV8*dsSJTnB}I8f397zU;7yM!#pjMicTwkt(Ci zVoenZQ3PQgPhb+EV`oKgl&qgqls6ihx}xFWl1p>-S5(jXn4u> zySX_r9Yq%Qy=#4qg~8#h_EGZhiiqe$fhG~H*<2j0nDK*e?{($0zLR|cHzIy#J_hyk zz3WtzPlv$LXImV{;=uoG*t(Nb9-=94&Y{_j2Mf%H|3++*Kq;4_yhcA8{b@NxAw|Lg zt;Uy)3l2mOX^2u+W6nl+G2M_uZW!oWV33$sBf!HmYrn5u%s`W~a!M!G1A(TRP3yI8 zJP4g&kf9@_Ab)NBpn)VeP+GOUrRazQ%XP1M8$1!!H;rAKCE>~gJXY2KIZI%ppcnt`a??Y;C9vcpfs%GWntL7OzgOeh<+6#dE(~Iu+a$)n6Q07DBvj z?Q8QyZN#MS_d8fC2C|9befK`9!IKqc;p4sf=swZ(49+hOPDI^zD5h`*vCj=R4*c}c ziI=2V`)i4Co%r}ax^upuHWBmpG*J_=eyn*caKsgo-p*t#z4V1AZ$JEf0M<*O1xFQBt zi?%F!C)lB#KjcgHb-U4!*TNniNHv*6p@-gn1G`+7Xk1vdN@fsgK> zm}~QrzCQ)B z8ElQ_B1(+{P`#-stCFA_l$KGH+3cl4@%zXxye%P!`$X%rlgn;!QE#Z~h<_4Xo4=*< z->MgS{OVui!yGp#jCx^m5O0a)Igr|@v;*+!-8PdzobN;>xGWQ;5rf{Nnq&R zIsad&Cn$T#@eaq?qm?ba?~klVuyTgPv8YJ)FV2@`9BPqBow)DIbJh>#$ZT*$hn8Vt>H|tb&WKSAM)+?RJ!~(7@X5Iw0}!jpb%B*BDZrF(LRImNhg(X z*kDMOIU4Va5=b@i)#rU-fR$VF^tl*#yJJ6REbEOzTY@I|#J$0}=lp4dmPEjvlG@!p z6OE2H;A?$enZjfGkfzHmQBZc(dFiQs5hSltul167+Et@>loQyp!N zZ~E@&>KPr6;+6<-p8rB~OeY%Ezb^E3BK#C1bInEP)wtiLc|L*4$M zQ6pD$-;%sP%~mb$mKuPii{=$+?-*!$=PLfs2ZuOD*v*_P?BLE~BMXwjLDkpOli$DQ z0QOSxN5%;sG;rTSR_I?8EKp+`K9GHjR$gxy7tIAHA{H%aDIAgC{qqF*1R`Y7MzaOJ z;{!cWhu&Yp8t^8haf9hZDl{@X-P7;qL)?$@t+Y>i!Q+DNPwKu`L20u)e=Wicy$<=# z9n=*DiMPyB9|Wa>O^edg)(L5tSuvTXTndF3l_}|7GGS0k>!=`=#e=FcZj?QJUfh`uWI2a;;V8np=PN5;hNgf^y=L-Pmdm=W(u^7;l zU6E|%QHLSn{&(RL?m#_^D{kve1BIvCLb)#T=n1n_M4f3cl;bZuMe&k()Fq<1Dast= zZ+aU)o~ETah=ktdD$)Qs7lr)x8G1D60%|FHA!~|Q z*rePYxktpq!ogZ86Q>&(*Su-*5{LlP8w>YEp8CLkWgh<`H9r~|)8%`?9|}ms0nLhp zgUP-xX(i7aTEwthZ?hu+f4J^xfwVhV{obgUrS^foQlehzek6RfYpOK5Ck79s&n>C? zdc$n4VW#>t&6`Mc!d3O#us9ZOEl`SGr3ira z&`T#xF>dHg1I^ISe=g9p^hA+AB^CJcP8Y}f8zRk&)ytStcOY3gyPu)D2LH`3oS#?s zMBF+KNAubOA+K=hp4&(~TvkZq`t;NQE!T=XKA3QZ?mNS8=sEJB=#>JE;CK)UYtK2s zCy9l)2R+|zwV9$RLb7rkKL$19?-d&DlkZP|Qt0PcI4oFZ((|6Vg1+|T{d2jM1aC)^ z(lTFV0vF*?wZ9ArS+6y`I{AhOhwe{zmDTEl1@5wO*t9#8e8okZER#9*+dT)`i#Eup zr-^<$Bn{>iO8>O!MH5loj-i{p zWfUAb{H^u1vkKbhQ0luv=K5Xkm@An)p|DOp^C;n}AN*RHO1@6viyj^ioA2E92HT^u zRKLjlbURR7aB5fp1wFSk4r1~G4Mp0=`MuF-HdXAwwT1|ka8iP=<8~sfiD!* z7x21_eqfqPB7A4^Mn)eFbZ0K+fFwVw)U}g7FexDroXHY`GL#NZ^@QX=+<&X_kC}a- zSf-BC@*);xF3)qw)#ZSq0Okw#tPhmmQj%6Hjz%1X54NNma-cHRJTFex4rVJUx+xHAUaA7&G^ON<@Y? zf>8ErU$`$_hRwIbASZc!uU>^@xY1xGZO(M``d;kjP>?57 zSS4{c4J9M$4>)y(a15=%ZsCgSrD%(Y6rhT2R73%`Zyz-Zv-AxUIr9B=Uti`M(l*G!>YeTb`bS7Lph7&u(WTW{>~oyh8&}9leXJU}rY^*4<*t z+m?d1-HX?nWn)o|25M>6%|ML{+AlxmCm;bI*A?|s{wM~Mc1OQ371cz=@ISeUMI)S7 za=+pOV5!LP>*V)jwCgJB{AR-q5ncZKBAlKIIUegWoC7K7KVqXT%Pn(oh*ZMdjU}IV zC_y_(Ckd726n%-pAs(w_L08zM+%gZVm ziCHSAou`Wf)2gPfM_F#Dy-%-1Siu)IGkzU!?8k$Qr^~Uz4PT@!VwqxW?x<4%Df><&M6&B2+# zVccys#yYY-x#dA-+z08LY&hN_5CusbPbZ{=Ga&!aAE)*;V>H^>!t3r52+@l?b}uk? zD8RyQLFZ@=2(3J^Fct^_37RBVVM;^`R+jXR-ia_$vwz%yHy;85eol># zL?BJA$P6vDIA9a`kV&;0iZ0>3zW(cuLI6WRyuZJ{RK(^{5g@LY{Z03@Dip|Fv~&)^ zf~cYWO^rYdGOw8K5lyy&`AoZ-8@f@@5G->2wj>S-zxpC`gf#(ey{B{W_jX0MmSV-e z@!`OPLjZSa4}&7kIKFom3_#=Yl3&HOaqv(1tL}245lU8gpF}iDK>nDMwTIM`fJ<&R z#Nweh;%ErE!kCnT7VqP_N0gIc(BtCjkV^vcc`;0BTFQrH7rq&^OveDnD63eHJPuKt zUAUIi>xt}dntR`j!NZWlqC|5S9t}SmNsAyFf{0#9O?h7obVT&%Kh%##HQZga8m#uP zr^Tw_TZet72 zpyQrwwi|~RS~N?}Xt?hM!6sXIBP~hL`u(Ma`i=@ru}H7%(1yZi1D4wll&z8T`GfeI zY7S6%tAsgyhn)XJ=5Niv4nfb4(SBcCGC)y(Dr;#4{h^`9Q=qFm80dCiZgc2*!N!lL zkLx`A;JbYLo4q4y$Qjode)&uqC@uB#%yET+&b!qzXT59a$MT2RwmvPGI2PA+*VZ43 zJ$6qoTf0M2>shOKLrFwAf3Y}3%^cLdSfamEq(OA!fx&=W5Zt+n$q7r>MV9_v$?|q}2zQGR)F-=2VW{xPJzsF+gkr$-?9aehrCkf7T zIaZk5mqE^s24@fHyFvKS$n`x&5~!a_pKNM3N85#=8?kJjaI7NTI`eT71YQ*kSLang zUu16XjZyl5=M_BTUxjiN+2@A}lEUFRW3^HJ?L7Ed z!G2;d)ETt6UE{RxM3Xs<_Vn_hLii@V&3`Z!0%OI8n6byhK!|llNLhviV;Q>qMhxC) zSbXEtf0SWxx00uTRXhoJMSBkE`MIMr^hi)vJ`5Zh=D4P9$-LbcB0f4}hj{P)tt-9~ z3cp1jNF656QzC!KvANo42&oOOceyG7{7>HQzkN~!pKJ1;$-Z=guOCdd44<*11=A3v znau*24OJ85ZE*uBtam-zj2IH3NHiBcTmZMdoD+`Ras|%*cdN?=r7>afsd2l%TgsB-8G1};;m|al>Ots=9dn|F_Aw(6YK<5H3`clEm91-xLhI+}mI|eGen)@x9 z9U)-h1^;*omb_mCR%@KnA@1yP{3on6aK4%hwOomUFPD}g9{!gB+&FzH<)Z=MAYk6- zt?3KeH1Q?Nb(xUxpY>sdDqdt**z^Tvyg^z}JuC4<9AJI#Xs5K|ftE{LGtNB#?y)>N zjHe-j;Vb`->6c=F@?XPuJBJV$^_k_~@Jxbtf95svts~)iG4Lw+go6v|sl77+3nmOJ z1}eS2@GF;Xq3U7?3{UJcxkv{>WJ6H-eqaRL3tB3gx$Xj7k2AmR{f&h=D-ng6EDRF< z^Z1IEdKgswc#R&%rb60H`g0FfV&IOG-ddeqIQTT(We$Bp1d|sE;Qb&R{0_f#tLwu+ zL5D@9O9TN*PkY^V2@V6cqRZW%WyyXbna$CDF%ee#j;>h51%u`@t0O|Yk-*~=?^r(; z4dcIXy5;;1@F*xT{a0BOa8!6!+3IG%k+r1oL*=0`eREsR*Z&gw(MJ27O)MMiMH$8i z6L9duNMz)dEj?b6r<4~Bar08D}QGv++ zD)=)<74XLQEuBSHC@>!Op4;43gZG}c9Y;P@z<8s^B}dgzsOOwotrXRQ@X1MfZShKo zi9d0YBRv?}l|)|)w^%?~m;F*zS2XacT{o$&w?oHnkIRlXxB}nj${|U|I9RwqFMN2< z7BN;=V(t!y!rdkKJ!wY-9)8Ex(G_3x^2*Y^MvX}548H!0+Bp}xjx%52mW+i@1BZG4 z6HrItNFS{qN&z#yr^cgzgOk6BC;uGPLQQS#Zo=2n!OMUAHm6xE$OpaR=c!OZG(~J$ zFPN^v#r&JYxz;ftSfp8`sTc040 zwz?#$G92ouCo9j>q(kjhu?XwH7_gOF<=$zp^0xF>tZIgikI`Hp1#nIfb zO2CwVT$>p1gQa%{v_qeb;PfTdD!SX1kTu+T_sEc^8vq;eA3A+^N6$KCSBqk3}-5deKCX`X*+&EAInS)5*O(c5Xm=DR}-9bu_5n z=nj75;SUE*w71jfy}^)ojIR29BG8IY?iG%jqo+ARboh`ENMF6YA7w%S`4RQu!ny!N zAQjM@$H@Pvx)Has$<;-O$hpaF3G_)#2cs%4jQTD;z2?*NI@|m3{BX*jUokE zgB-`XKN4S4z}V0L8+$q!nehe>6y>-=a{}>Q@6j}9rD64GPH;he^uw~gKiy#kRPM}~ zr^A)DjRtpXbL1t}&D4823OwZ{Rl;2IK|KQrOEyNrVySd5rC1a!O&y_I>C6N5KYN%@ z5DgoO-cR`qqM$hLTFI~KJP0C8cNwh4Kz!k?1w2O-tZ$rbNmI*%%mKe4OSV{8GH=3h z8S_FrKJ#b78*8|#lem9&O$Hpa9j)c+xM0~mq=35B214DgmvIRSgY%Z-$hBN47|L|Q zxMJ<0PQKM7;I#}W$({=h6gUP_{Tev&3V8@0%ML%*bP5*Z?2DS!_~9tJ{2;>G2Quf@ zEXL@yfI0N{px@c^Fnm##vO7#4XyPnCJa7>Netf0dg{8xQbGzMZcv1n>f~lr`22TSw zPx2d$I9_116IVIwXan9G0yFIZN-${#wX@|5ou|Gh-WYRL&27ZzKbAg`cK$0@%Q+v_7aJ zQyZdeZakgs;{oeu=dW-g0cd*8=hcX_0m@u`vB?lF*k*F+9Cea{3%9!hchqbl?)ZU( z7=s)Hm9_qkFXn}So8A0JXZ4}zc0$+l>u2H8k(sLTBWK{Cn(@l3A|3d9sfY5V4Ie!5 z@(ybFqzR?-)O@D|0^mQkol{JilEC#P-^6c12uSHRLZ3bC;Dz!DhaW={VE;U(k?k5E z1P8bHaWCmXdgJ8|OdJck^ujeR)kg+iGTvbvd1ep(hh_}ll~Ez9s5Fh&{W?IrOC`(w zHvq!#AM8GtT}QP=t&* zQ%#$He9*I4r-;wB11mNk&8VYR{zbW$>h<%e{knX2G)>!JuGC{dSFQL;lJ zt(@d9MqQ|V->G@JSO}v1X~RE=aKPI)PKcyq3#14CDQ~}%1HSc3?;q(4K-I&TxBXQ1 zF!$LRXCW*H+JAae;xe_M&StgBY46PPEfE+579k>*ASw8(KDGuQJMJn8pb>LAxkC`MsjrFI-@Ssm|z#2j22SXJI%t zmyKfA8fx@xcq5NW!jsVI4aZ0cFnfS?Pp7nlf2a6wFsdj(QDsAmf9eq^`#pcf_S|J? zUgUiDcbXp(ZRdoWuZu#ne-7Qeg&nNUFwfTvE0S}qxQ8~k2*fhdVJma2$vMIDx-Wqr zhUHl@+f}t;_O>#cLZdG@NPE8OJFWraA@_>X7kObyN;-$)z8=WhYn28bhkrz{=1KyVteh9IhhXm2HR}yZpfqwVH88&7;@N6mByS^y`Si7qj=M`?yE^_-3 zxM%~UlIiH!N(GQG3f=f`M;79CoQnEwY{0m8(V8tf@co&g z1XleB+=>%3d@{@nOotxZ@>d%GMb&A!lKk`V`Yy)+u|yQUyLPZEqk3-A*fqH;xUX)9u`=J^Um(3E6;Rbfg^ph(F z1~BAN?6yeOvt!O-A(wthDAn2)du417{}q&&zB|hXw__iB^C$4YO3-U>t=B$q)}pso z$yOJf1(Kc4Up@)PvugRxcl5ySmV4#nQb91|GI7~<5r&L(U#FjidT^?mKGO6fBhr}o z-11jY686NV{AGpgK;Sy9o0>caVASKz_7r(S^n+90bYmpg)sJ*v8h3{~H@CkvM!3Sa z<#R;h1QCpiiqA;8x&p4w^15tfC`1-izgRz+3T`dZ_ZU><(8lHfD;#*jzF$^({zwXx zk2PK2#8?6Y(;wy#q7VFHpgAMmnhGf~QFpK}^--fmlB}(~4RjBxYhO%H2E6!YZ+7Xw zPSWZko#UD>3~ja|8#4EmL>T-?2-1OCiS%n6Q{KSg%ZIQ1lmsX3PS+z77ZBtWe%-Vm z1W7$*W91)H!I-ODXPn9iEnz2w`iq=^NhmGpOhgJ$)_O5_C+Wkm!1c#HWKJ5LRr_Xm zjR>L{Gq{EfcNi^e)yQIU2d();Yfc>ktOu*Up8xF%)-4SA6NfOsU9F!bF_{dm6Tb(C z3l-2ghE{t)q6Z|aayh-wN`?)Wlt%W8mhjk!zA4_-A1EvTX$QBYzZ$HOS zP7&cyrucPQ5k0tti#c)njW^7q$PJb21X%0;uJAY72`UthGS9_@!ChGyTMj}pY#otw zT4vQn9m$82SnI7IKj|lxz#0*h&yM|f)$lTOL?!!X2FPxD;Z|kX_zBuCs zM?>wd9{)lBb`$ree?QHDchPV2q)s3N3h(vYpC&=;91B|hp^vU9G6($(af4ym`|bZx z5W(*zyWF`t1*Eq`aO~p>g0yoE1liFU@IVX=lRme<<b@|!2$dUyrw z3t|`7#LUpUZHLaW7JHaF{qlIwOA=VSQ@QXLxC7Tl(=F>E57>!M^VEMuo`+HGp}rhr z*fJtqe4ZHuON_<|I=!jDdvMBHE|3Rd+TS=#je5hCpr+5)mQtXkn7U&6gcHQL#Cr;9 z1;JGrx}Ac-D?pJSE6-k|i{AX~%xnAU2KUXFH9u#jz()%c^%E`XD7L$=TDs2-qMs3e z3y-G)%k1$3?`^U!g5M%xA0A*4Fx8Fxs|#mdZ{CkHVMYOLLM#LdUhtdI8ru%H1wKik z3kE?-P$X0RE#LwRnEW-Y{5Y=&(%+Qi$22LCHRmox;*29u(|h<(#}VOV0l(ctoF@?U z8XXTfU4SHy2#jM7)Dz7!F+EYznQ+r<{0LHBD4E+uET1n4-o4@xveOGz+E@cKDt5vU zdO)R5)wBAgOxp36rB;0c`9_cmEg+)on zC4O2F@X36H-E}$)vr2<1qgnFM{WGq)ES>|nF})EIEy|GB`I;ff&j%U;y*wW2=z!dV z;ecsHXZR7_J=uRmNVgsBWiKNZx%|pBE*scW6!VN-3V=UGl}^K_v0&R;V-iQ_2cs8O{{1y1 z!V?C+j|^W;QOvpHx>?fRQ0F7sO8=1natdOBHg`=CxBVyP1@ADl6s$nh_53n?RMxu@pyy!>m;Z-Z~VA#(*r2ag}Q%Jazp+C zM$Emv$*}g}?0dP>rpPgPAd#*h7{nQ8i>UTYL9y>>v1yD3dUD_%YgQ5lsXjZ~_f;&A zeRwqG=`RuJ1p>$BebA3(^2u7d!>hk8!2UUx6Yf8>>E#803@S_~P`64iZ&+cDy(83e25%;%4zpMDxc?v8Sv!kfe!U zfA)GRSn#vb*iR;+opXKEpAz{|F+*i($w@2>zd5nD?G=d1eq6NAWEO>uct1hSsYrNK ze?g9h2a6(){X2QbP7^Gixz0(9;NbPfH>-!(SmexH{KeW)2Oj2g?zQQV`xro5u)K*! z8d=Pqzpxsxnws@-^CuAmLpGQVZYLmJAQn3U!L{heh)wftq@|MdN@Lh|p*shSUU5=$krut~~;>|LTVr zx?X^wmA~v)tZcyb`D(S?SQw0194Z&A$_Dg4WtAJ}fx6dD7o%fqih7QTb^H;*g$$QIL7bTPb}Z1-9GPl@bbf71LybJ2+psv3rj zWgwv#*S&U15eb-jv?tW$B86BR{^uNJ(0I@5IceM+;UX_wGON!;`k7A5&xu7)@RMg@ zvep%?E}3RpoXAIJtZR9)*9)Mq^I4;ka{%&^!klt^mWvEngV+UU^MKO%Q@Pes7>XRE zI9}eIgq}YzYoRsDgF#iAHA%qiEsq` zZhL5QN5|Oeo@yi+WY`A8n=M}n` z2Mwkp*p0RX#1^4UiAlHyloWo=oW%vufO+6Y9T|<1f~^Jr`4N~^} zF=*R1W%mX<2@V~KIQ>985*hF;wBg4HkQi-qVB^;zeEJdIKqYadJNh zC(cedND#pPI)w@LQ7n=;X*T4LL4buj`<)3U1mG=@rkA%!H{qRx5(aMt|OtkEQZ zHB;EdO^FyJoe?n_X+!{Qzcap<{M_;pT!XP|G^+oZDKckF02;?a$5?&>;Lm@SebOC+ zgs#&##n_S0eW;?pQ2Ijt2Vix6-0R1CN`JTO8^p^qqm6(9-aGG^p%gA z2td=|_nM0c!;!xTzr65>(UE57fg}-BnFj++$$g+sTYsoD5rz7s>1=Gs=ZA1CTX)0~ zfh*|1x=|93KG`Ji%~}&-|FC`0QCT89orn$^lZ-+Rww$yAp#<2mTj$CcBtp**%{9gA zIFz(y;v*POgel2o9&<4gZ0BPMj-*&rXzRS&S5Ac49{vfPa1xx$Jx6eS6ocMgfA)O7 zmIyo410K3(lHf$AT-&8@QK-P;>Sf~uBD~eM9vYQOf-ht1m{MQPxIdAIeW6+Nha(ZjtG&O3k_a#*_@r*)B@TtY%vu*8BESuQ>@l`o68QF1 z*yOuJBfQGCoJSrJq>knHd=)l^uG+)feAjTO2$>a|c}2lz_S@}VoLUf4u(fcMI}ZK8 z_0J14M8m}Gd@3Q57Vw!d-)roQMv7IHrzB$|z^y4hHnoo*I98c#91~*^X}dvQV?P3l z@~&*LPN_qXQP9FQ*GS};@m`gk0}Dywj~`*ymQ>ejJs!Q2ib21kwCz^nXWBMFPxGg-dc%!C7vuOyq<7aM5&MJ12X z3qxhMpCt<0Vjv>Jxw>WD1!R-oH~s95Ku3pu3-bv^z<#ADMNFO>7*o7)@v8|%H2)3m z>SSXe=d;~)iz^;5V6N*n#}k0IcINs=jl&=qtIEF5=mUXArFQv$V-TI{H!}-%Ec};Y z*E`qc4^Mew0$OkSqYXt(+WR-cK)&?M?^9p=LDZsOdDYni)!tw#%#{fRsf{W*pP3+V zEe{_s!*BD5#gNR@6Om zLS7$j6uwf1LS*|9OINQjxSg#qAgd6FZZakWQ@qDO0>8h2NEQYP`aT`=S9C{b3NQZJ zIu0tIufv^g?~#Z_*w_h6C+j^ena-3x|1I=?|$mA^c5g^^S8G zIC^dU%w7dK2l$G&_7__sO?R#l-iR=W`;p7uO0M(T584x+NBq#_7Tw)UNi0-8mx=_3 z2+(?dyq~Sr1C8m--!xDQC+E2 z>8!XH4mkTugXP+x$nR^*HQGNB(ABPP@>etrUa#l-m<@y@Y*pcxl50`mMl-N{6B`Pe zmel@iZdgP``6Ny8Z4}(S_mA#)br5`|x-ZEl8i6c=7SG3vMnh&!)^VbB04xj39mX|A zp^rl6I$xN?KohH>m2!zc^i6J?yUjxFd*aRG{D zn>9~|IONn|ELHjr2iI2&gJ-7Qf%yKbxwr@(!D8tqS3V9Ho43OM{nCS3&pns!f<&}9 z>YA`TgopF5-rrA9H3aVjcA7xTMC3<#ZE&mu53;snB<3JX(0<^%*u|ZIGCuw(l#9hf zoxO3Q`UzQ}9QZ>&ybzBXi7DmF9x+h+uqFRR?hzz36yhd=k3;R@H+1bvqJS}IaO3kE zA=LfT!c6G`9#tIb^Su=r2{-30m1zW+;i$ZD>F~Kk^lKy#g(t>>{7RABA5IB0q~Wvd zv5|l-7@zqgdoBi8y0aH7_!QBN=%u|2YzZj3GftL{?6++~oL>8Tj3_juiGCzL5j7mq zCiv^(Al0ZmVro$yRV3iw?3N{>@{-gvf_^M`wz%<&1*xId$HBgGrHN?Y?U|7qnNuR~ zNoSugVu86!YEiZ+iRiU}+HUF@JTRZUZCBkPjdlXvCHMCeQD#I}lIH^)q)`5>5OckR zFa@XcE?p#`=mOV)kB&H)Rb+@ylavPAM|PPq{)uR-Y ziHQAVjz0?z9&+z&3a1~DKyKglOl-9YsNDd^Lp@9GmzvA3gAW?;Y~h+#l_a^I!YAF~ zL_BEU__LXB3iO6f@^t}=i9;(;V2)(*Tf%cvZIJ?Um z()2kI*^d6Y^0f&Mv9HD!93Mph?RJd3+a+tn5Z7NJ7leT*Hh#W|RV)m=c}-B$3n+Vwzi2D3`~p@T5XSoqH01xytr*79NQI-WSI+s;e4ansCyCU)_%^1rM_qo zd;B{re$fXa4*on)m5D*7Hh*~UIL3ljG@VzYfd{lc5_>MWfJ3K6&qQ4?#lcq@+v~Lh zRuHM9l1IUnhzhFw?+#Yt!Fv$*G;+`jLK=6kynbSh9FLK@Bk%#hskr#*Oj00}BwM@* z_s~H!tP-bv?fjt@-@N^FC=||>hp2Yk6hWD*85Wh|{s3AVnS;3)kfe8h1&AB;Im3m; zpZS9z{xtDlQ#gDgtdy%!U4YZdSzpT51K<>A|JeW~EPUH@m}5|8h3RR(r~CLIXeOrL z?H7xHBm9o4Jiq191%nWr<<(FSef#R9B_A)6m@|CsBp8XD4K(8=X~JP%tJLbVo;nJd z(nu9ck41^U&l;4G{q)hzvrg%EsVga(dgn&EvA z(-g59vls%r;)NRbNjm74D)&e?dpu(QPOH^L*4?+8avp!Tbx<6`&pT3~iD+X?EhF`N z6f{koZ7k4NM{d&DK2OC7=mg!^XDCx(+vd=%Z*sV**M4Ma0L4$xU(6ll7PRGFN zQ|CxNDp~kpJjB{rL_mkmrMxW@!@(M#h`js*9l&k8?Z<@@P+Y3&GpD0?IFaARbmXBK zd@hnMW_g#0ShKrc-SELfS@2s9(FH5eK>xm&=p`aU&yNXj$hy^6xkz z0gW`2J=t7|ftNwC-RvD|AgR*+rICS%=w-Qh$LeCCsPEk*O}r7bM8ASFF9@jl@iCPz zw{XC7<>lqmW0qj~W3J+YJ^?-V3*@3C>v!bgz2A|a?Lp@63DJz;MC5yZ@lRqJ9yTp( zU43ryK&44um8v5oVLDGx?>Kkt#zItU2Ja1fa)NfVa*OBo1jKpGKuGp89u!%E#vhNl!R`7EwjAX| zv<~TEHS>4~KX>}1d5#`5ICVVuNF*YP)!_Qh-55Bc(OM)@;RjTiQ%4ijW0C!C*KDd? z9MFrX2Dj-r!&NkPab}N*y3SEf3;2@fA&};gf2bQA?{4E5#1hd&ulL09z&MCz*Hq_S z@&H=171Go91ms^C=O@Gy4?2vYWs@!5pwO^sf#pp^_gF5Jj4#K*CPqP5kHQW-9EUrm zMv3T8X!$dy_pucfnQ;NwZ<1S}qKYQ+4T4mSyPk1rc0ljlk;OYCXtrr9ct6Ft~XCujQK$SkQ|&buaX+9m<(&xWG?O&h4ZUbd!+kjNSDX&ei{Z3VT`T* zA0s?LRl#{v=cP8{VoLOPll292E5F7@R)4_GDN?)=WCAJXPg@dqy+LR*r2X|^2%Pn3 zi98t8fXLs+889y1U^KFP`?W9zq#3wbm7 zNM+Tt1L~->;N;ppQY8A%7Qc_n#DELUs%{OB0dnFg9bj!I^PQoyr*$e87C+SZdwPn) zl`f&d?x|4J`!tHCr7{$P`NOy~AJ{_haat~xedv)eBa}dx66Z+pgG(ew>5%IWi z0;;+m`Rt{7B*+{J{IO)Og_hFXo|e8%M4?(4Ta~R*FzdzYn4B()D3hJ)_M!+VjbSr{ z_&6HgF`aKE_=UllugYy3BuBWToOvp})E#mj*3~q84}!?`|50e&;Z*-$JhY_Dj0hD; zgOHhV?7jE6=DpUvF4x|B?~%O;(Uc;T-leR{9u-OY63Iw*8Nd7c_dK8H{harCo%d@z z&nGQX#M2a>#^uI{U2=fy|EdH|)j31CI6i^llL|bVh`zBAi-p&BvZmIkJwY`{qabzB z2{BACvFynC!Mbup_iUsqv@QlZ=kmHEr@t@n=c@$68gjWP?<-nVJ^4)f! z6LMR`>b=+`!1o<%iS6qcC@nABd>EyPp4t?%n6&q7?CZ3KdHvBZX(en1sg?y>2mkM8ht@U@qckgCK_3wBE)44rr; z9T#JW9=tdl8nWb%s_JS;8Cr-M9d7Y<0XNMPxlA#pnJqQ5GnX=`{B_H4xu0AY_(MPH`X1rx0 zyr8o?aKXCJ8(z#NXJ^tnqA&xh2X{aD09G`zUclTNQgcfC6AEmg`ny3-(mEExI_{P= zr}@BL@w)e+85r2-&*WuLbb`l&P5$O5e1SV)g!#WjbJ#ewP}_dp6>dkiD9sQ_ApbNy z)?dyE&ImmXxSMDNkrXBIS#JpN&gG~OYA2ujF;(n%y(PTJ`x*P6Bo26tWQvXg23pHk zeM^|Fp}#rvGH0td9I(;qKN-WKp_ek-xEddb3FO9Gc=?0J!Sgk%e}>4@n&EgspcfQn zI2^pI^#W_^(%wC4XMik=clFjbz~=w7iOSvwB#6~c^k)i%ju6L}vN|m42cDl-eo@R?LmBmKb*DWZt}2``9GWG;so2$NIdd$k zkh++Ai_D)qUW#@X@8iLY!zEHI!x^=dP;_pH1(N-q>X-N|XHfo@qet-xN9Jwsq0YP2I${a5*A`>|EONEptX!=<{09kUtnbA^drB z#|z3D^Z(J=VNtQstaFBk4+wQtNVXdpqp&lzJ8wE%(4JhQ-4FzV(a3I;s1RjI8(XqHdLui+pki$#~^Q zXWp5^I(v(bwyiHT2rKINpCCf+>;s2AeOnkWZ#=a8oSY-oVLOD!3GRKTJ~Jup48oH) zA5{7Wfs|0CGB=MA%vZ<@M=_JYFy;Dhe`O3z9O`?$&K7~Bu}Rog0YCU!q#MB3qK~*F zLL}muOwfy?M1?j1Ysjfzr&qC(MHl@VwVcfy5&sPyo4HXt=&QiTjYg=VUfo6S28=QM zr6SeO{$~WG^jM#08b!$cn?1O@NQC^SLYh~ql^|h3^g-z}H`p%ZIL2oc3s-v5|EB1Z zaj4wrc~|TJoI|H5l~#R_6X(bM9a9oqx8XT^C-^2RI7VSSdR-bApC^g13TcD6nf=UC zj0~i|nLkZ)P9Ft0JWHhxFa`6*#Xm+&lE~G^K+{&<1qgpto<5or2etg+sjxvQFg{3A zVj|;>f9OW9I&>A0Zf)zW9o2=^J)=+7G9Kt&p5M%-wKKT=Qy$ycbAs0Cx)7QYSM(M; z@%$Uv&&@w`qiM3VgQXRAmrN#eR4u}K;}3%!bOv)=C4F%Ns$J&Iy?!lZoVlvH?}&w8 zPlrBxRJ%ZC1$LNMBMw{-{HET!5s>joQTtb=4iKx;5EWk)4aQbBtNmnMT5X*s;l#zEONqyBDhKO`Jb3EFJKI56>rD3wa$o*?SWS9g?0i_HP z0|98PPslanq6?%j^NMcVNPvdC9D#>_~FxSz)yK;@3U-FM?;EA#@p zPfK?4bm4I7?Qby#N+N3DGwZm&?*>lqYM3pKAUsZ!d)={!dDB;-e#QH$Wy31{8 zIVH%KY0a`C=k6b0CerpBeL#Tafq&}@4RXFS&#CG40q=sbTMgshVEHi9^yG*U{L@WN zh)(y1TA>&&hDs7hwHpVdYhvLq)5UwN#RS0Q7rN-ihC;;M<9oe*H_>n=P16l-C-5xr zPHkWhgPC1s-%SA}6jaaU+DDIpqD1aHS3ZV7&4D3>)O{sXEOnA5A&>+eDhU{&j$kO1 zYiHMLVn8A}UXhemB%p2kti^UG5%A&6?%vrrL>p;ozE19AhU$eJb~Xw6HP+up1~{XS zQpO+TXGkFT_Rl_@LJFKbrS@(7J09^6J$N6J^K?zrNPs9N9)=jwx|8fI5TkUp6X~!Q z5DKwcm+E7npjQxo{kCYRSz90V(k<%NCG zKCnpC(f{7%1sq}9E0%2DaPo9p%lOAspwjNXzQyE@js?#A@iFvrj+MpMB7UHc{hXvhi?=Eb;bXO41V3Y8I1%dpL{Yodu zbM~~EeJGAXd3K|JeDr~9x>$6L%L&R!kiepR26G0O@)Ul~49H{C8gpLDA;{*~kRsQXM(&B*b|4>rAEb0pkp>0c= zPM$FRK-?)p(GJNp2e}T%c|%PL_d(_(PnhwV!5Y0bLnt|Ev;3+olqhhAbKxJpbZG00}nJ82!?Uy`cJAt&nFq2Avct zG9O$a`?nV{Cw3?)}-b;sry7`R=~#ZovB0E!Kld z9$B}z`DZK>;9i;h*}V=|`1SiL%Tla7`uUdckZlSPa8)k2zn5@u)2aAnHYE?TO4-kIrWX~f3Wi= z#5e+k>K5O-OZFH1yhFi!Wdx{YN)Y^>&qU%>!rY2VPb%`RJRRGCGjvITacUdjR^l-wr8L38zW<) zUH%>!M_sPyv!h2{AysT>)Z1DYRhNEp-a>A0_>i0m#Z@QxR!o$$C+VXjukyqejNIYL z%hmT81tj?N@5ZE2pApit>QWCBz{8wkR&cA3C-g|heQPzbL4?2V8==asz&3`JyqQD* z9+7L3Mrmea;wat!EqK`-1lLwJOUV2t|NQiH@)H>(wsWoagj;>Pi-VCKig(-&IkS- z)rt^4Pl6j2GJ?HbmPloLbVc6J8+KzPYya|iLO8C_{e`*>qL|U@c_8Es-G95@`fa-d zxBi7dK{8*llw3q7)LkLhTea$#F#%4jmZ#bp+o3CTAIlbG@!-G~ayFgh3H+sQ-zv%! z(d9p5UekMc@Yh}Jz_XI~DD8a!U@jsv*{u1?-w3c+736N-NP>r1VWgKFH_+VC;#b8j z1o)3~*EB-i6PVnO$0gDM3JY6I+S4JxB_eW86mKPM_9Wi ziC~g0q06j#6_s)G{3o`F2a?yCJgHzQU_P*DSqes?OPYV)D0 zpT2lV3|+GLVc`kaSt;AkfHIn*6SEm@#KXbtA!`u<+ikVHg9U~;Zq92RUhtQf zuB>Fx0_kDhwFHm30~ODOJzSp`B&+$K%Br(NvM1UUEbqI*@7+&hhTskRfdjIJoHpp9 z({$ORXL!(`zj@JpDHwj;dv^QIwmPcG7U1Y+!NOOeQ(rIM2!?y6$;>Mb81$(qQ1P_B z4eXs@>P$Bx!prcMTfDBK=q{~p(Uo*}&_B?~nVcZPD&rxk+l4}Cs^iBI?ou}}>MSsc z6!iez{S)q`Mi*xk-+1=g4G)F_M~*#xCxr6mk7TaKl69(JjJmKZ7-;$v zgKAG2AtoB!VeQv;(91!|>E0X+^p81?9FJB*n=yBnI%VuYxouQ;Av_2sXVlaNh3wEJ zo+ppKGMYfQNNV<~M=+2q-vu*jSR!$?L+gno3z$&S4YZ+R5uu=pmjnm z+zJ^)+%?7UI6#y{*2K_MFg!8(+rd9(i00g{#C#IR0vGiWPnzGsu<&@N_kOiH()7kk zZoR<5+|7chn}36WFZo(X8?`1XSN+0+k#`1rd%|1`+5ackTw@3mxPdAO#Lqi%c&IoW zj19R&0t2Q#s)kK&WL%}V^;w2I|G)GlGWW^6N;zxqs(uYc1vLLK?ZX3yp+ZFPX-|+$ z&a3}zbOXtml>BiU#zVDbe95bG9&lwk`>XmYBXX+iI&waO0I!X8g$ncCArjMGGL1M; z5bEk+6d`~|e#Y_i5Oc$xogg*OMtVAn}dSoU=v*_{AbmlrM;Vub8UJ%EJmZi|V$42`_E<8{fwg6E; zuD|Aq&6D7sRR$~no&-9qaQlU&6&|E;R>3EWJRp0&#VXy61r@Zn7%?RfAn;+*t~d_~ z;@D%bS6@*gC8qhi{^@uSX8dX;8cNo+a|6r`^z_Jmx$Ni}S3LZp!PP!A@&GK0v!^rt zQRF`VNq>Qk01v}k+MgdKfpXD`vsdZ%%NNQs>Hn^g@3rWwlao$@EVt{Ar2bt%+o~6s zcQ4>UW!;*BTFe6q{>)}gsZv4V$Ll?R$^7uhJm;bveF(&>^(k%U8KOyD1v(KT4xYvz z8l0gE0je{D(00uXeU=hun{2TM{rzjU>pW!KPrVp3D8L}^*_(;C%Isj{I)!q&cQ70T zEz-YmS3|eY(frJAv;=4R{tmvTV325kvgVbhfkXruQWtO7fOq-_TIdQQ>!1yX^^!S? z`_Yif_QnKUssy@j`vk!njd;zqSQ`|?K*u@1VgT7RKMwtV8wgw)40Zxj_UQSv@!>rM zU0}1j(QYFYXeJ7@|vZvq#dj0QqfvO@mc0|&&( z_dqV4(i|?8Z-_q?4uacbV)iHgGe^Urlm;wKCcrYCd~rJ^5H4w0*WBQ;NB;%lC>;e% zVU_-e$^j$Ft8Amf9UclTU z1p2|QpXKBCeOhSTc+g#Q-we*KJ7f_={oonXj4IyG1XErC=sh(0M3+ApypCp_C0#T@|7Jhctn`_| znX7ja1{8xpjH&;e=o_*gZP_HUwi`o~u6(reY9Ne`;2!9ZG*I{2d4A=2BdFBoG?|DF zf?r1;7uMSvpyEl*^Q!tL@S_^{nfI7Ku&=O-e(94zHXb+pebtR2?d$1+UXmYt>oibW zd8LF@i^Hi{FB(CPB-c#iygy_PT=6tHq=KxQ`@dckF$LEUBXpa~7YcUbtL(ljpqoQP zS@9pnph>tvp?Av%Ed9hygRYFv$v@uWcCP0*4i7@@)1+HlcqC1}y(duG{7@pe%oM!}brtkPb z$Exr=^EXvgHqAX4oo5EZb2s($FO$zn&8Pe-sE4RY0?$=08k2eQ@}60w4;XL`KG2CZ zMKX0Sbh>edP{v7m=)UL=rf$zxem2;kQ(T?HQf&IrCol8EGa(Stzw0GiF504EgCTV- zX?^H;u+)>Q83+ndd38R|%u(AZU!1&~A#n9@J?4n<2OmkVw`QkJ(Twq9Z{HmQ2;O*y z6JPU&(%!AJ1C`ncao1D|^BaS#`-X&nyce8rcMG0)sDvhu##^vtnZT8A`ElR#JmFy1 zf86Y=9+rEcEOGLE%q4MUzaeJ`%lNe^O;0=3PvA>R)c%TkU z7e@VzE!1!n@s$4cf;6u!YmBJ};`EEc-mA5R-Q}HeW+^c@k!FqbcdN;yFC zeqiFq51!C?q_uwQJ_+T<4^l5u*@MX)kVzox&Un<#U!6n}`ffFw!TrJ>x+tiUSJa3g zt#Pm2@2&?*+So4`p2Nby8SzIvWZeu`)cdk=%@fV!44)8baR4T+iS|<^L@#&HtwjPr@jkb<6s0Yp|tqk1(-+LTPqnzs5OZD_T3Rj7=L4bzjfUUdf6mP zV=^p|oAZggvcC*KVaD7#fc%c$=Y&(RnAxF3DUk7J0#dP4q%xug^x-aa%6@6_$>5S0lohGXaRXDo)`^Dy&aJqh*$SPww2NjC7Tux3uI! zK@& z50i7%J>HZ7^*|zuuBnqL!7Ibq4XTa<2OnU@jaJUSaYM7EsvGhSD&RYKdTi}Q0BrfV zp64^PLHd&q`Pv*!VWp*Pxe5Zo(=l00l$_ILU%XWdvNHkuOXnXxat(x7S4FQZvcB|N z4eRN=GzP`d#!cxz0Wj7!N^sXxL=>BX>bDwxsQUw!rzd2 zNr{2+{AE9w8eL3(a>)v*`5*J)n$!o^F}u6Nt-g>zkROS?WQ4fg`jbvPGX&|Kqi^}h zx>-20`h>m*hc0;;I(!>6gOh3nzbbaUp;<~y-HO@`>7~=CeO|N%^?^hA#1hAsGx}ZYgi6$SV z`ilhMU{El}f6u@VCe06-g}ON)Tain{mv*#a^e$;r?3fSeX?$2HD04y&J_Ol6Gri$Vne9jAFnwe!_g$9hs}(fuX`Xzc?gb+= z^`q;rR8f!S@#cW1CeU}8drdCI6ZEk?Z?1RABLmK!7hW$-p(Z`+xLmk5@b=Iacm`-9 zjKkhA=!lCK?MO8LREc7jK`3aJF{$aEk^MZ^$YW>8$^L)S_D06Uz zdB41%HR8(ESx;lcUD|Vtj+{d&N2j&7aRlfzoJbi?c0|+BfmOTTk7MA@vg7NR^PZqRLD##)ppHIF+}LiKGKB~2s)z4b zkbrTFP&F>0h?3{t8Z^w4{hKwtvbClc%&uzF4}C5>YZwi zZ4$BI&M(Z2mun-BbtZQ-MkTx};|LYS!WTak;2|yS&LZDq zN2Fv?aX7&i2j}`aFEHRdfo(H^dJ3bBN+wjjo9D2tK*psy5)~!3a7*CYy*CF$V5yJpk1%+b^M5KVpmhB7VFxNVSnFhw)ag+{_k+!C^t{cWUNnX4br1ob z=M>xbKg6Jn6N5*RTm`KiI7R5qKFhMQ5)UoRyJ-dP-$H7Y&b%KE%UmS>UTy+ z>V99FHQ66doz@^Vp2fpT?3Z_Uwrmlk3y(f z7Xlc9X;f_8KwEIMx%xkC6#MRnu-1|hR1f_u<=}OOz$e#lUM<5STZ_43DMd&4O2zo< ztdlD_kA_qAKeR)paR0`73l8>`e?{@CdI0wRR!P%2W2DxiLv!{B26APC*+}vpAkSu| z;d;#!iQd6sHhB|_9Q<#n4#sVVkPv<4op*pmu`^#WXC!&X4u;j zb#E=p+}hRynKHQooiqZp((g1*yPBei?j4%qd_!`%{n>s-W0tlD07XD#=wh&8!|~nZ^9>oUSx;rzp%-_z8N7V# z!S{4&sIG)7P~%;&RWi1S^41Bd+HZEy=1n{Bwg(TG5Z0ZC+Ez&RK>qPBc3Y5nc4o;{ zz!AK<=q=;t$w3$;K|^vr+CO02=qmMuhw+Lg?={3FW0EYYV0iuN1yHc)+* z{a=xs3zSDI9wVukpth0>8{-}fe7qb?d3Mkl&hj-^4v_2LOa-HyuoyW1)S)cvlq-zh zS#HT$HbaB=9wxs~w1$*p@+DReogvEno>--_IeHc0>$*dpv-0|w=?N3^IjRFMZa%X> z!Tb_O4hdMorNn}RdrzHUMdH}d??F2xUrfIz9byOk`e)wOWH`fQqr};nL0fd>KT94x zHal?Kf78VL%mqfjf3%=U!XTHU?XQkJv4Jm5Om6jf99)iXG9Q+(Lq`~Y+Opp^hg1Ux zt;{t?sE+!2WpW>btSx>S48AmnmO0yk3Rn5qhpK3pP8RpLch3HO5by`FK9cVOrWqs1-I_g9KCG` zZ7&~{UeR!bd>uhc>9;m0`~J1&!N&s>>%e4=FnuF6I`P1qMoY3Ag}9}zka=84XW$n_RCpLWS{Ib zZD?+dlEWfCY!I!1l+yoc@17Iv%e{RM=dI99f@ZCg9|q2dHysU1bAq=|N_SsltPn+? zUV)|t29EC8dA(?Mg62U7g?B%!P-%hQYRD=EW?pGz|6*{0<*Cfub!1(O;c1B%zkmVp zH7>t%iH^X8;T>K!vO)K;V()%4V!(0uc_QmP4m6FHA_l1Jk}(3OQd)3{obp-L!#agH@?x%1$66u3u$kXM>`Tsl0t%X${G8t_L#bu;4OMyyUTK zkBo7{PSc%MAS)tlRDT!;ickE$&~MwJXHGW{TlZLj=*V#$fg!T5*$ch@nb8i3v9O)t zIfntwR%G~77YlM%blbkQI-q1-sYo>{ThR0$c*QD)gBxWpWH{d2Bew*eqq5I!fVvGM z{NKJK^gcPM@on51`CnW*XS{#L(TB92-oYSl z5gAJ1Rt#u`4xQ%u44Wgi1XQV_&ka4VANQCe~nJ z`DNol$ zO0R49H;mb!tNyE-WqQ`Y6m&SCSO5#>%-ahY`fd#W`2XfRj4(O?NiskW1 zYY2T;xO+|+2h#-;Vt*{`(NCJr;F5W3UL9wY?AgCJx$Ph*Ny0<1eDJRCu_gSPp} zcrX}QUN-d|(nQrJnp|U(&X6#lyR4&Q4vHX=xGx(B6(7@;u6S7>(NBZVbnTm>9b<{j3#aScS<%hTM6*zb>6C@-#77e0nYKhm~?9pjH-_Zqr7hnmcsdW^Ohd7Rx zuLF5;C~g<+-HjkY+J%~f!uU9N{v&hqI=c~_rEbX|lh?a9ycAGXB z?&>g|n0jf6&c&&`ZYAG~r7ctEO!x*&Jr;}6_!C7j@~YibG(a~cHjfd zzVDTNU*eF!JIXFS17{f7FU8mt2SVjp$u;41Gjz`DwalQnI}F|ZcP>o%}&2#Z^Ce69Ee1&M{EZp;c#_myE_f%>JxW^MmFWuez80W5KC8 zd)4uI3R+pZo8La{59=HB%)2&GKoe5t*mXSyeH5bnAb|~puHaMC_gwLSe%A**eh`h0 zoS68uArb(3*qn9&kyMZ=A{7*HWh2Mk^<(d8Lg2Z_cM~^eU+}?p$9&0;M*R9Jx(46HM;p0pIs17GLe>of0)(Omw5OO|pHl+_7xJbRrB^>{{^ z3Be-di;Nc;rqV!$L;S}#VjkT7dYy;Yu>_ge(R+)iWPqfo{6G#iUi+kVlg%gZbfW@?U_-pT<_L*}pY97U+;M4?raPYy61 z@cld?l>_x>WY50lD@Mr#gN{q%*)V@CAc#9O8)$2!Nas)?lH&RNY*jN4dQyBsoMf`0 zU;DE*{$UZK>lv&ob()~cg?vd0}g%NJN8aB2O7&9z9=P>B4;;B_ky#T@TziB@uW)*oY(u0`mjX_8cvGV zXI{#J{AVB2pT=dwod#T-#YhPnJUnnE>*6i&xclTrrb9M#&FhSarjl{oYm+nN&4Hup z2UD+eGJx*JWxNk-K6>O%?UQ&Y7@Ar?Ubd&qh3=9;3!G6os!up`ST8LOYTI601i9yc zpC=_Z9alLjqd$GrpgRfHR5?V^=WO_(z}>1_Uxsw!=6b2;(_s58&nI7lY>*JT^r(HK z6n%Ceu30LAZn|89zBpkD9(mO-Il5a%yHaG6_fcB9|pda zw>uI(27{*St9U)iJk%4ZJX|CY4!`cl(hL1g0l2!__urWU^zz|p!imvPxYoA4#>wad zHb#fG27VQw&0q%0vvma?RP9FZ`r5xZkLo({Ds)ZHz4 zB}m!I#@BB@0&r{Y(|;8MAh%skGE=t%Jx#Sq9XlHZqqh>`-nXU$ogOP!yH7cq@e>>z zz8(#KaD@#?$D*O;zw1`?r^*oPND}T)a}-$Jqm0Q&NP*d|jSd~=O7x~@o0qmb5%OFG zVt1}*fr`LmTH^_V2bU#J4}}ave*3{8md;HpAKO%I_DChjn!`|WHB1#_DK8v zUn|i;ah|XANCL!%^^Xc?X2AZrf$Y7=3Pj8=5FIH^f|A?L_|@SAP;2hWQVpy`dn}q< zzXTGY-ooWqS#uI(=>Kd!>{U+IDXwjsuxOY&?0hSnI}1M6NyRv>lJUZhSjbzYK>v5# z(>nsGa7cgn!;`36=)*@T56+?(IPJpj(m0U?!MDZ#T8HJLI4pHEH)kpw=l*C{{VNAD z+t>{TU*#k7t<|mt#%wUDe$Y5at_Ll&tj(S(K%T&{weuwpZu-Qr;f%7un`(nOy)qxU z*H47#R2P7{tc15oa~AyWkUIP4NC5)Q8+M67g&=nw6H3({4K~<}WMPvG#7wBrQals| z42{eOSo0KcE%~f`S~ClE`YC*Q|11f9JyMb33eE(T9M;b9x3^H5=+G=Y&Vp!PWyeE4 zw}20mU!=R8jqbdip_&oPhx4)LXzV`U0+#b-gM&Fa2xm2McO}0VdMH02k-vq&Bi5n$hTB)c=)NOb4dpIyTdhGT7jRpbgbgO`YG}JEt zH+gL`9{S#v-f`(qf&t0_lWv=Iv~VG#KKEk=s2W;LrYxny`QmzNE}jf@Y2Ud(*)$i9 z7Tam<8D+ptBkR~hI&Kj(=DPz-Od%L~Eey4F`?mnhmSU`wo)OK=A1^PX(H*LH)IPj z$VI>Rg?gXmQLWY#^rc!|

    WpeCtsUjyN3(^NE^1{)ZD0q3K-Shs{J#YsfQMoQ{O( zt3%fAe`Ar$$5jf)q)c$S64PX55ew{!Vj0~>q7nP@quc#;d2s9J`{NOX@zC7&^~BwP zNF=F*8Qjw?f&MuoY=KsGS1)kcjPL_&bf-hg~;2+Dk}{gviKA!Is+`_2bALEX5s z9|evCft=F@XI;-h%Q?D4kGB>O{N<~BYgsBZ>$j+8d3qyx|2DI=f*9oCSYWyJEg3Ex zT>Pq>n1I?VFcyeC8l8J*%Cp8!?k^q7;ccCa3THpvUTq?wowP?RUf22a5Zy-dF;=vpx2>*-;c%kwW}aJpWV_vl?M=ee;x_S z^#aH13g(fk+F-)(aF$sid;pTW0g0IV=5)DKOOTyI|u`!UWE~uRFCK+u{8+3))2cn8&TAfCJlYo0v?&UNa zxgMp)dc2wib`Bs~+%FE0EZc=sui_EM_qk}3`AaaBv=J1P;f<)U_gAxy;6eAaQf?y8=8$=WFH;UFOfoy{l?Mjq2VxJSU~*sCm8)0__$TB8wB)~ zELVzBB0*~5PU+e8Xhg%w?){rS0A%>5zMZcRhv*;+tFO^fDD5n(>v*RhT>i*y%kC5k z?eYnc;g_ON3^CR8J-I&ORd@B6bO3mz%Jp5>2|!Nb2`hsmexSyGKXi0R3|JbeI9Bhw z0*BQ~4of@_lG+j`ouLnc3_@OA!)YzVb)mhM(bp4>o~Wd2zZL`-r9H(C4MUWX7q>6< zk_73r4hjv^_K);C4E>=T59K%;qoHiHN$v9~Y5`8X-TZ>ibCjBwhd| z2T!L;`+I_f+Y6(=!@ls=q$By2gdTi9`mx1a#vPaj?1|G%Bw$GF8r&k1&|85zecG@7 z5N{T3cK5FjGz&~(mItg5x0W>j!UJyz9Ag-y=XHe9JvG*c*FsTpM=XQWxe(xNR=UDj z91KVK+EAP}3BaNLzonD_`23P+_uqggToY}R-MQk6vi$ytR0Vp1?_iQK@3Id_ur!QC zUUWbv9yMz1+f zdn^44f_$}Y%2DAU(BakWz=-*vk=^#k%jSXb({1#hWor-!jHR-BN_e8<3z)|zvVx)K zkx_gnZ7`_+vHlRwNkW0Q-RGC=gF&bA!cQE%5A5o>>GErPBBg+(M|JIiV7oS(*5>L4 z{o;$sC!~CkSM}APaC3iPc=a^6U^@c3Khf?#)`~&7Y^w1(TY+#Ze5YzzHW=^_%Smx0 z0$ICd7yE4lf~*?R4L=_Ws=pQ3i&TP9nc;ZCt(+iW6S$f6MKK1r<{5OjDY8*y!#D14 ziE$wwD|$GN`w5(W%cJO_@=M?=nyIz@w!e5Bvxw_A2E9I7~G zGu!kc;C~dHXI##28^(o_R4Q2w4H8MqNXyxlhW6Cnd)~Xf_uhNZP$^oJ>WoMv>2D+@ z(Lj-m3W?`_-rg_n&-FX6<2;Vz`{pui{3GkwmW|T}*72A-VDcMZC8faTB+jmiHi@XY4>jFOSD@a5F(t`T~VI=wRWY5Ua*r0(0i zd$}P2gx*|}_{Eb0J2St$F1D>e`#*=zhPkEyyG!61>icY%7Lin!{aTJ}|9*}&AI$(c za_ZY4-&5%S=f&=avMxC7VN=9r!i9?(E+i zf>lq;Y94Gpk2K2a#GQE|c&)VchvgN2H0*DDU$=*bekax3cYm|Q5C)NbfBzWbnr}k_VqQMNA_yD%z5C;$?ZMf3VIa&t6UR=K z^zieOG3D4$4M&9|sGWLstf(#%4ROb6&J+bT5AOfL-y4QINvzfPe>;GJ?PjOV3unSIrun&rI!c9ZE#O?uJcpgNV;+#P7|u+kwWbC64>| zlJM=^ryotTa7NKdS^SshunXM zDz3Pq*sy-1e0l&r&R_0N}xW-GL=KN7-dh|djlP$`H@7B>{4!~gPIy-ieAk5g@ z-zYmT4$ye;*^NO8x?7cNZ+8yDy!b2Dt!BosH;Vh%PoHq?@YGexbqqp{I8vgCkvE=@ zdVEH2J`Nf-o)=dt_~1>F;ri(y8nQ@#SGjmK3hE<@+RM*TaO8}nzix8~E@ght`=AsC zKhMQ1ofxDcs~^)I24*t8ncZL5Lho_b*Pp)p{+o((%Pq@7YTj7erK)+f-xHpkdD<+o zM#jvyrFuEP%yECzs@=jhQ&{NewkO+@P=v7i+i*J*TIU(Hwo0c${)~(5=3oLc$-k=( z7NFo2$KweH>{DUN?tpy$cqr2Rm?Gx4N8$@s;TGl26cC(Tw!M=Vfj6v$l;QtI8%Kt`T>@@6Wc8*3vQ`7GGnHZ4t3V(8tEe6XCyyai}N1(2dZcueqC{$G) z3O=>l^r03d-nit5y6ztt-;bq2?d?$eP|+kT z^v7P&SBG&-Pne@wCIx6(b{l&ck}#&_NJaI#AlP@qw2i`*0gobl6nYd%D6?^9b<2h; z-VkNy_*j(z=Z-(;|M)x(4^N6DNr~7Zuc+&mi_)3!>58+$lb;djtM8;35kyqq~OD*`Oe*kGhy>VP-8TS#v+wXTikg(u#+c`nK+sOsY;HY zo~?yp@IL$1_mWOvs&v<2NIDIsCW_@aXM(WpRv7zQg)8K??O$=^N&%wu{PUl&5y(7h zvg6QE7bqi1%xw2d1mb(|X13drxYNzAq;SOtZq2ah3w(-!fo8*in?fPTw>8aV{~-cA zWVc9Z`5g(jE+_^3Z4SmOCloqse(S*B0r|9(Z!^G4d#kpUK_muz`%hpd^;hrUlY~S1 z*V3UmyJpg$G#=BQTN5U{)IjgtY2Crw889ezX+!!M4ddgl_$Cq@;pMc9=iSd4uy<11 zkCH?~D*snUr&VvzD(DO-wn;$!L^U>dK`LC+{4ymNNCw;CX8ZEP$r$&Jdv(VbDx9(y zURn|NhhyZ!Zw-&eplQExqV!N8?9&fc`r#4|wi0`)CNLe1IgGQ$n1ey^MDZ1|xhQyY zU0AH`M=BO9lrkrd&_LU+H0;sy7;qMedi}*W1?!t5lzr=|AbG5Da^eyZjO?PD{)I(j zee0RY3u}QO!ePAF#Ty0JrRP}=t0tkX%<0(IEF>tE?-A|NkAsbh#TriWbS$d86iK^E zhNx)MB|nj5m}YRBpI6Gp-u@?ro)ctv|MJ5GDLWZhg7!(S^X1_8qmBG~rKm8XZiJJ{ ziBMtnH@oOYCW?q|%k!pxzv$7Ti?0n0;N_mK+Y8^Lko|Ans% z3no68RaSn@oJSqGg7Q-$l|t~l_vgzCUu9ujbyG{pQ+?c`G}gkR7mVw*{4bK}{rw1w zvX)`LHST>hCm@*_gktJxu973MFp&0qw_nXjvb0WvKxnnx*F> zsp4w&5i>|Q-?{D^7mYt#!dDH;EwM;?hI2oY67sXB4t+g9#B{g(UZ?#=aBsx&q@8pg zYMA|KmymNphR6qJ?rPa!{x_z>hq3}dBeLvB58Vf%P95m+)(ymw6rPi;9M%vfBs{e1 zS3K^Uc;xl)-C?jv?7sHMF#_#xw(I-vAY1j(yHGK=ol6opr<#YiD)oZS`{ z1{Ry^-m6#V!f$h-xf^@R(OikKZ2E2#5LCw-N&|D?#e3?)-`;X`_5Q@3ksJjVwtwb} z&rX8;PRunsQHpLerC)xXkA(lM!;@zFV__4wYOed+5|nA#Qu`)65*j2FY=REj07t1( z2cuUut`(50Y^5#WdC}|4BBelZqjW5XuE*fR+SC*s?@Tz$lDy_Ob`++?W$%WqhQWk? z$fwzVu^9NCMBBn^4cjTJLJL*7$gN%N{@TDCO_W(&1YI4V{J~Z~|JE$@%)To(YDdEj zy=N^3=B{u^H;6mNBNdzEQ=;PpBH?JB+QMCW?y5~+`M7mUI8xgsjFL3+fYDT8;CSi< zyt!TV)PRsUwqh3doD2zj0)HQ>{A2_t2gEv?rX!GGRCda!j({2-%PcMlR*=aNeI-&f z1+&Xzt1H&AwQvAE}V$;Y?S<`C!f z>*8-VDrV}GThCaMfj>U7psvjbnwK@xU+)ga12QjUnItLjNm*XY#l;R%Bexl7 z=-ieOH4>ySM>2FwyTH1cifkM)5R+Y)!XC&G;jK?%Zru|vU?O~Qmgexs+*GM#fLAq6Y-{BzWY5z^)*;`TdGI z_a%3vCXf0^9w0(uLiRkB2#XhU0}};G@2{ANANPhkL&U_WdnEi%qw^DgE*0(^ zcmCq?%MJAJW|aG1rDABS;0dRDbgmIDS!*$Nh64xVUz#@tqi}n}#I1s07-4QvQ6t#H z-l~V)e?Erbr%R;27K|YPnTMN0!;Rs|ze{&En!>P9E8=didFAEc2x(~H`_XXOb^G|*s7{~iXm`fgngp6KpwJ^ zjq1MBxi3F|nOJNP4AtK|4@IO{f+Xuxm%14e+Lf^C^eT|y-qqr~yk{nG$N9&XF%c@h zTrdyZvzY=19m@Joa5+H0e3XebAqYzb+-n<-kwBOD@Zr&DSNQ6m($N{{kMFlFR47;z z;mu{{T?vQ1;Z2y$`Q4q~Nb=kybnYVo_BYnPJ1Oc9Wq9X)ozRMI? zHc0pPB=htrvO7j{j{W%ciU6q=W+qSD1Hq%^U}WWEH=JuSb-vC?g!?-*zqRWJ0mErY zzGg*tbPd?KEzp<vH$8E`>tXvAP zzPoG8Yv>IIDo&RduaGd8^lD}w{eGV(dX9%%yTOIG{oG}5sc3J`U}(K17{26uP~0xz z1Vl#dn#13M@p75zHLg3saNpjU?N*~L#JX;h>pd2V8G^eUKhf`3b?x6VnOnvXnu>cq zmxtk1b1VMHZ6Uz0ww+<7%Mk9gp32=dPs5k)ANh|xpuiKpk>K0=FF@6$r{ntWAvk|W zx9&td6$UaB z>3s5=?;JR@MJax+568X_2k(d11q1i1noWPzwZZkZn8miFaGdM33qCLr48dg&gj<#M z;fRy5_^?bkUN{ z^az;pS}4tgfecsXMYVsZnnVAwy2tg?By3ReA6tA#hWZx@+hx2QAZ>NKIv? z?WXH(^|_`n(a;rGA6d(VG)={{v%g>^u*6i%$5iYZ}p0WeFI^> zUSLF<&M{U|O5KhbMCcmqVs|nP0;}D{1wWs;Vc=YBWX(MyT$zdg9rh^@PIfoW@IG+I zGQ-v)DLxWJD(fmOx&}h%E3xTs+kG)eBDepnJQ=>S=qF0g1i*!_k&)|ke>1X@U-e?7 zz#7B5Y1syUz{%>)NwXmQ5yDYF!$Jk6&2M+?yzLFwV)l$osFQG%dQRJejRq=P#df!K zxa#Z+_#MXC%YzP-(Wq5owLh!cDquQbgDu_;> zviy;60A&_KRc9ANv7G7S>c3|+kV*}8RsCrIwji5-OEe4xNCk%BBEi6(>C8~EW(Xw< zPWz@r!ccl?=5&V*T~|(4!T*IA!{Y#f{7+lLaOLaRxxC0=;2W~@e{;nEiauGYwYr94 zUickVYfl>VmT%tK@ZAnfU!CJ)vkAoN!-0zlzeqrt-n#WPy`MZ}sLx_oBw{2nUd*P2 z3|71f-q&QDAk@#f((a%yE{VyF{go!cm#MD44^Lg8^BL=3PkRr{5W6FsHcIE8*YVSA z5?(Nv#N4nL=!z9apHZ`j2z~8r)bs^ExHz#)n^bYZ1K|d|;(0{qFW7DQ>P-Lyk7j$g zrMlqdQOPHajYO#XQz2p^9Rx$xHLU{$u6V3w$ZgAiL>TdENE+%30z1MR^=Acc$elCx zZIqt`1df><-VH$@t16}{`pq4?zqeHCMv>t9fVcSDb%A(V!#h|boCoBOX+N4m*Nes@CRxt!Y4@GBqo1H-qjI*Q^4v zLon)TXVAr38n~DIt&6HR1G4S+=KJ)$@EhGiRGg>5b&bs@&MlflM=q6Xr6~lry*Yk- zXjd@Etp1Gg+G_^iGKRX$2ZQm0`^kXZe^hYoedRXi?F51K5ifgA1>m~#|Jl0i8f?>xG{qJN5U}1An@j#O&PL!{#98)HPjXKkU z!uCKoAUg7Ckva_<5NvN8`IE{Bt|>dVGk0yrSFQ#jDVuBkNG^f3I9YokN!~mO@7H zS&omps%XHwqveffof8~?(0SsDHWl+28UrLoX>cZT<(pyvM?kp0vI7Jr63UMn(9r7R zz-am$4d$6s#p4-mVJtE;x<@=1&!>Lvi+n_buzf!!%+&3H_U~ojkRAyK6LK8d6e%E; zu(*SpW()f-NQi`Qrr_RZ-wO%{DR5P1fq3z_4cxVxl(H40qR6Cn%Z@WtFu#yLz_o4# zX3rw5ZuZdd_kUAHPrp*(>3Gi(()NqM9lz6$lOq@vUH5<3e}+cqPo}%pgo|KNy(!95 zH5j=Q^xzbk2C2q3gSRMI!@BABO>x%2=t&iG>8JNY(J9U0`Ob^*%i@$m@evvx*ZncH zr<@As&wCXoeRYM=*E?n0oBh$4TYS(}j0}e!Cs=+lbb*+_WtE>5L0BWAB0AAU1{32x zeIrj#P^r(Fd@k>UOYe7V`#DX5AqLz2(R04=oi#@0c$f#8|5QjC_a_0>*wHlZi9d}0 zE#G7};)Vt6DbN4PlRzl0jUcZc1UDRomlJzEFf3T?`Hl-D$nCSOJ3;SpPa}TJ1!U2A z;a#NJCp{7{b01m#YD0ui9nB4i%bwV0^GeDd@G zdtcbGLY%U@<&S1@Hj_Wn=(#EV(K(;{|L-W4jLbL%Vj+jvq{Le)3>&2~5pz6XSXyyG zT9beQ=D${IkJBI|nmuOqk}D+iX1QzpA|bbdi9W%L2C66D3;w(71Q~`A=sQTkhAfr_ z#~d1XZ$8@;w$~9vAJPVkTdAn0=_z;h3Jp$`Ife~Y*aP!MAD8BC8Uj^kqm_QY0_r*L zgnLe~;3o5DxRQv89~idjsZwC>^7Kpg5eLxRudfp|OG0*`{;cRy3Rq2wtbVt5fTyFU ze7+5karV7jZ1Xn?oH{(;v+I~02p{X9oJgeN!>KQaPhXQUj{TxUYUeoq((E0g!;55!}>JN9f8((kM9k4(lZ z2iTR@Trkv6L5AbJ(f@8x!8`m;<(4rYc*ABQyrk!k{QrjUtzRI6W^KcwRGAY5yxSda zaFUE;Gu=EEYZN%qU8$dXA`l!$lleZ6d!hBg{a*bIB#@8z&M6~K0O=0``FeTY7;*2p z?ocNQ4mqx?@;cCS*t+gu(@Srpgbwqco*)4^VEXPhWg?vAa25aY-UpW_cD`ZNrE|R9 z;9q|;7Z8gi9ekHbM*n2xX~zq69yI08ifs0WwO_MmVc8d*d@>FU4^!xUb^QS`%on=j zcbN&$b5p?0jloNc3a9zPHvg{k0@l_m>(?0rQC`Pw@>VAm#{3!v2}eC3tiSY5i46gj zi?qu0=shjYiTnLyaW`-*z39z&hJFOP_Z%`Lz$sa&+J|-+- zwwD&JRV6yXz-YfhUnK<%2;BvZjx@-7ALEwG2>kTc{ zL^R?oW6bfPKxoS3j(!P$IQk{*?qrJ(zO?9Ic3vZactpzj?7Ra|YZj3=go1(ImlC*w zsUY~W{1MA-HyAnNctmqC}pEjF(h!$Wn2w zp%cghQZ=tR8x_ZAHb1+^NCW?Eg^F*aoFJY#ulaT(8B26ctOTT~@T6kX;I)rFz$spA z^?@xAd$qO+eY;KuQ)k_Q8(mJoCC9jjdXJ2sr)RFz1W{q;0Jm0%n?FRdcL+SK_Q#z^ zE50T>ks&It>$JfMI-edDX?iS9Le97SU(@<1KwjK8X>cP5mNT!pbw>N*69wNurcGq% zxN~*b?I8ia?0aUb8sLjxSZ{^P{vknTy`Dj#A`vcT|5Yqr_eB}ExXvPdGJGDF8-NZ1 z?2&(=XdC2*y{n9_!B@$k;{NrhINgU`3=)&p9LVUqcc^^-K^m~Cj_`eQ_X9oM_zk(M z{^%ekrp3KN0iKDEC%?3K!<#2sYiHr$Vox;_Q|=S5SRcZC`6Z!mnZ#olC4Vuv|3e z-mek_AMdN@L7N}8#8!RYwT}X|!g((~8aP8t8>eu}8X2ASHC%XvX>jqDmS~KZ6S$9k zy8J+ef}L%Lcl0k)Awp@7<~}td_z5mQy;JCm_2n~tqx7D`>!iyRo#Y0j^v7@@mWbbW z8+2*JQ6QFUD#qr#2mF?7I6-|yz)$HlSwy)Q94ge08tX?(70K894D!WG^LwV_H;DZi#XxXNEFZVnV(+2D67;`9a_j|VM z&)Fb2BO>0bwVU3<*&^7v&ye9#Z(?L)9RY?vJ-+jX%^&3_SBl0|$aGF&U|dZgKz;oD ze7~_j22@!rw6xRp#`A9O2q_3AZpDUNjq}I-e(QD@Sm?Qsb9-aBoqo>oSA%!Ak+E<4 z)%{;qsc@orI6`^O2e^M7d=fGpfEUhxQ6+OyVW}>SOFPpG+?SJ1`ri%2F)?j1q6Za9 zevNClKlA`Nz`XEfA_zmHBe!p9)74<1N(f+TCL?Dqx&{;ScjT(qaaKW2Nb*`HpZUtxcjwh@E}3jb1{NK@eTM-8{P zPXZy2t@>%wMSrwu&Xu^TMFx+z*6~%rt{@ZtM*E@*2_H6R1r~3iLf!M{?$&R8z&!D4 zf6?wBRPe97_wW}P)K@Q;#O!l{KbqlYA~IxDSQ4Vnd($~rbo4vdJ!kl1{Nb{N7a5;S zrx|4wP~p(ON>|SiHz>QHXhoVLVtvwb{GlQG9M*!f6W{woP^(v#>3RST?m1Hy*hz+h zc!j`c*=`Uc7&*9aD+wLH+}?SNnV#bbZB^GfVj~uE;=L=~=n?vbjI5KnCbDYx) z)Z4{Ru~G>*pyjsfum=UowwZ5i6`aT zE>NJrsXb9!%@v}TwWZXnNvLPJec!uLDsb4JR+tL&hU=1Nz~Xx#UL%{YhDuRkl$+h} z@-=?lUy_SQXHJ*go3Ly31)$pfaYwvjJq6VS~fj*&>8oB8SVq@&F4Fn{s& zxQ!nXjmxDtYi?5Exy}=x*K4kDku!!AB0<8W%av!6hNZ8u)w+Z}f8EWuyYsT$LAjb)b}5C3 z#N^OxZvRn0SAipG<-H$xSjNfurUs(L{;2pPbbh}qKgF~9z!kWrHG^1PNtkbM60E8~ z1+Q(V{<*2Tf=8D}%ve1MtES97Wa#_5F6TaJ*W&@S(?(Vb%tUk;cJwc&&!LmS_x`IZ z?%=62bNH4t5nZ49f888Mg#+@);I-Ku9>-nC$)=yDL#lYcPbqy4e+ZZOueyQs#+}Z4 zy+k~B{{c^F9TghmR7Jfr+<;k9c3<){BHH!P_+Qpgp|mbrrc%=zf_Q$UZhaVpx|IUS zCUj0OsrdRiLfRejG`X*CN+sgg*Q&m|BItUyAC!5~=K(_(GQu=g2>3GQDd#P^PKx!P z*J+Xb;jV&Mo?%TO{$L0KdtC|$##Bc$MEe6pAus5zPax*JaQO3hmJF|aFN;Xr@rR#J zk5^8d2*f=~g#FbcWUw7o`tV9S03IFv?z_wsh-shMdoDaBL&B(P$dsio_zzw_`Z_cS zAF%fiXV_BUz)rp_<4^vu`74xLa0cSMeeW&4yJVQNzB{(K<^>UM!#^UG2`FIEHfr~P z0?$vjPBA|6gt6!Pmcyk4{4gF?zexXHQm>TtA$q>IMUOmVOSQTK7T(yF*!%X>%QkyL+QDH=Qc{tpKybQlU{}) zhe@au-7Di3O9kbgb$g~K-cbFBlh|@P2#Y=Mn~CnE?;Y2x(~VZ%uwH3y@|d51^Owej zs^~uOi1a60_q03EuHN&K?jz#6*|pEzr>SsUP?^JT!yQsI>IpRgL_A*=*W}Mch4|&; z|NblYhdb-@wrui&n9QXAm6^_8FFJIe^BnMk+AD+3MMVTWDa-NGjm{|rGpWVOi3`Pu5g`;b}5TwH_#Jwj7 z3(hUc6WJ(m_>-!$ra>UcNsO{iRR^HZr!k|4jC3E%E2DH(y1{IPu`%g45jAL)IyMee zNRoWc!?*4VMkhH70~JUZHM4lCyn+e~Kz#J~i7!N68|~Pr4a6^rpF&vaeg0B| z2oq7XFGSHgp9=Hiik%y+9xyPFV$c*tKo>r_$s0r}T>E1<&%56Xq8`r4ljyn05S63w z^Bfg)H1^z&`R58jwdFQ^(j?@|di?3=bt=q8iofIu^@n1nsB}a6oD&_bw|$MLbKgtj zv5eRN5cPQ7Q#TucRL>l#Z)y~{wsJY+>AVk!z1XqQXp{wW@Z-+)F$YYrUz*q$3kRDg ziI3l9UX6;C8mHcm1{< zEL{HiuU1zAF7E%c*GVfMmh^fLQU}y9j#H#zjHruxsoZZkHH#qlVRwJ^b$65!JFM0- z;DEQ6gm$z_mw@OpM}NjQPn>K0wmaF+3$+GvMUO|6fO6FD+w5tMIKFRYX6MTQWUWnp z)|^=kzqI3J>)TGD{eAYDpO!?-J}k9yzON8?1d}NbSS;bay@+9~Dh1WAcWEl`OM_2W z6L#l=22gj8P`iH6;N1IxQ7*$caDKPq_@*Tca(B!Nt@`-D$-aQGPI3sGDS#bMhmzp3 z2Q!J^ zMYjrA$@+y5Z*ymc$A*S)9{v_@bhC!as=RJH{vv2qnfa5S>W5iN$K09j8)Gs-`kA0> zAzZJp;LiSGjE9@|HZci#BJ)s6DTi7CEZ#|vKl|GN-1a-LSU@1^vSaJ6`8+tt{kOFL zjyu%IJ+J$lMZyCw+;n67GNJ5R6JO!qM66%EJNvgb1DK^$y%YDR!G{g~JWf(DGW=5# zRpm;C3MqwKxtIu74j$E_Jhy_;aN`GWG9p3$z-qsnbuL)64~0_4GBGCM(VGKr(;(;j zn+D6GJcu&mm~=?WK>OCW$B!P1hcoed3oS_T>N0noDr@|DLt6lW`}z=?@RM3$%W?HvkkFw zmcaY<&oEn~Hx5<);Piy~bfw=-~O}*Yu z+f@jvno@FOGnuf^HkQd4HtbSkAHuV2QO16 zc0GNU3%f6tUY_4qjIKQFYa*$+FxO0Y7~Y)=*DWL}9#|D%bIZ&0FFYBbX4TJW>Y58| z!8s3RpQhtd#{0m*BhhemZYlZZ`5cI=D3Mk@6^VSeVg}Fa`@j|XoRC^VHf%e;E9P08 zCr z>f(?0qzTNcURmHMS8aFjdNJN&9PwiPkPmw{-~Z#+nF+N|BgQtq6rtBerJO~TLa>rC zpC9bafWALgX1tz-n6fELKg^>T)XryRADhVr{nIX~JB3T}7L{>&Wi$sej|{gAq-O)u zu(N)9K^eL~;&lH0H47d`Z}M5$2msosvtCbWG91cW?>|k|M42gd84G%UH(Ne%^W@eP z@Ll|T>6@D?mbnOyE&huD>MN4M`1N?$%VZOBTfrZDmHTR4$f@vo-#ycLH5!aa+t@jN z3q?YZ_$8srY)DC`j#abz0%M}fnmKngR@Y|^UOid}tI?kVYD3N8>E0;6cW^So>U#vd zy0ATSi;*3q{=A@k#4rTH%+HtBd=G`wtxi2mT<3A{1E+J%u5j@8@nN^o4u+bkmVxau z&bVQ;e@fwb3~1GV`)=AE1iZN=tz5n|JZN-p>erJ5@Dsj$s)@-JPPjT9 z*d@37ECf+^Ub&hXg#=fj@5iz#K$0Bt%sRD1Y}ToSJ$GN^w?th) zAGdtYKMRp~d*RW95q)1v-+!Of=?DX-L5a)Sr4G=yU^3P|NP}vDeP3u&Brw_bc{=r| z9F&f@-=fHbz_pHjUHA9{p#G7?EUn21%exoC^KGNx%hgLg&Kth)=9*#tiy|WK@c6E6 zPm2NLWs96U+a18lCb&^HJPfNo+toLHhy&4at{E8yO}N>fIi*aFz)NMbdiQN@H?3{dk(2`k)^e)@$`1H61LY=eEc(EwE0d6nEmt= zl)fy5OU^|}&+pSvmDus@SRe^rpYc9l-W>~KA@S-9UD|N&$qAj0mxJMYQk|khY%HYx z(2WY7vc+xo3?I!P0!p(jYAhZ^!BMup9oclBEHwDnacnsOG<>2&rXJFJ?YpzbT26-H ziT@r~m>kXokv6f*pzaA?b>XXLDxxtvii1auk_QKNofE&!?f@%nZaPzEVld1%mEF3n z2LEU-L_~Kt9aYd*cc=LNQB@Uj%O=%l*!<^A*_9%<_VpRn=NAwDh ziW=bBZTG9y9#QCh`278^E|nms$`$uz(hN7Qj){hgN8!B8s`Ayh1UUQc_!VBYEXZ$+ zcDZxX7BTR&&ro1EWEcvZl=zhZ7n7c7Oh2)N;awjS>+O=D(YTav^^*`j-R^$(igy$= zHE|!_p_2)}_sa7B_bL+~NfHcJj^)GN$(Vo(r!pbWN6fiIsR&ONjN9rO7s0MWZZbdQ zDR6t2OOjh?DtxTKay6nFg`EeQ7VS_H%#$OcxmzPOGgM|ACa-r!L{gFqg}H`~hN;iaKk zlglnC?9I1Lx^9~ZZ}e}}XKz$svd(B^R9`CGbb7c~`BWM#IKYR5j!Lv#|FVD2d@@)? z-zxlCk_~!7Sp00R4BI>T)CFC#Aa&}k)RyLKXfxStp!d5JUvNolGd;|PMB49tFY2>l z;7Pir{jU;wf3~?V2)VG=qB>J;*cwR3Iu$=EpTpv72b1r7$^*W_xcJX%r||{*B`cXk zcMLem+;nX=3s%%^mtIWzg51;cNxr;@w0z#j*Tw8L;1{afAv3(ay(0Q^aE@f{zR0k}4 zU8{(OPnRzLy{%~tKgyd*<#v1H%vJ{>b?F$GOE8C`wzHUUv}WmC z^>IVko&c2pDk4X@BVhRJ{!Z?5p_u=+yybCz1#~AK;m-LI13I!_li~}K@OOpcH^HI` zVBMSBJxEM}`HQC(OFeT?ebZ0Uf?5R#xEBeFJxqt<#)dTAKY94Q*@cz+TPe&(^693A zW&qos4y|kSo^WQ5x$m>c5|Ddv!?Jrm16E=;Up#AAgr)MeDe-|t@H;VdQgS05B;~Zz zOlJzP|KH*P29pwatl4tt!;4f1xf=cOqh}s&NmeQpd|d{@fwM|k$CKeGN3Do0+cJXEzjLw(FbyR1TK>f^`8e32?IZkg*Qg4sQz`KH_q;1k7vB@bdGp zK|_G(O-VYZ9Jzl;-()@;%$Vhpy|P`v=;d^Z$sc#@c$>%SH<}OkZ*1r6%l3sQ<}!XK zI*FLEWutAjA|L*0ddBdJssZbGYs90wp}0cpo_}&b8&V&nStl;i;KPH*QzdIbI30Jz zdT&%Q1j`xxSTK)p%vGh9w8EUdqQuZ-*Oumg#=Yn0)XeW`b|e=BO*; zMOgkh<;Z^KA{Z^tUJ<4k(y@3$!+87ZxMWG)Fuc)~<&S4g08M~uJfR620mie0c`Ek&v4vAvx4lEAKY zXy8$PCPWL|*=Iqizy;^u3VlyAz~R7xP0O_e2z-}Mp0lgMLpd&6a{`ipvoD-&7cmP& zi!5ZBX%(21l^0NaJsr|nL*93t&V~o_&gmO`C5R2Gr?UF<;KhlJo6-YW;H>PT#6T>^ zH8at;a5@*Rc?rr5E+)bCGkhD0tCg6d^5Vg2TM7i{k8>LR%7h9J@2*wH3Zy1&F+A9p z0e1(3rGmLL;PSc%!9%JN?H10sZ5c^}hCPJN!_!&7AyDwgH?0(R62dA=kLE()o%;_i zCS^gxxR%LUM+p{>lAiHq<-tb8-YYO3(% zF}r5rjwE<~M=R*okvL$--r1JON_=-k?5x}SBskted?&OL2R5CjYvSiiP&k7*X+#1g3Xxf z51QOG4M%X-t5eiAEQYi~qr)iKs zdKJcb-)$>_-DUwL|5&MD^y=tfU4IC^j7@Ng<1B$QUVA{XDF*7;C;g(Q<8drgS58H< z2o68rQWIH|3OK~yGWR$IAL?Wqee)`W(Z9uMjZB&F_vwEY0!FF0n&#D)`!XLckdi*0 z308#e6>o*=Dp#m~)u?!`FB7)TW(On|oyW%$@mjSMK)!1M92PH=;UJ6r`|Cz#pdP%t zy0$qGKFTR395|K>saE4xeE6(DWuo%ae7hIO9Nk*@I3y3cx@z50j$4AZQbG020u89J z`f!-{eI5{MOvPwdtUzC2sMkx`3tEgAUnHBxlVAF8P_WaQ!jBLl zvfBOR!B8?VSomge=6K^zR^#VY=d;26yGu6TqZp7Q-Q=tN;EW9N)eT2PGk`y^HZVCm z0fKIrei)nr7+f&4{pJ!6Q4C7wHX`>x%u~w06Ip8b?`zo}qo53!8;sFUOfiB*o^Y(xyTfd3p;jK*D?tFvn-8f@()2qqllf$!&FeHo1Hi^<^$Hx7T-TPp#oKP z*1YT-D)9D`PWty`71$sejWIE1!k?Zu{&Qw}z&w4F5MOSF)UJ~8G}iaEn%%>H(;-Uru0;#47jNW7`U{US^=x4$Dk z%K*iVFUup@8lV-!qsgYOg&HR~XO2IOho7Rd!WsPVlm!y*5|Y6%HGEolP94!s#D+ zgJH|2kZE^2JJ8GnE{GLbXn#131@F zoX73#1G5GZ7bKz`V0QRz-KOl*V08J0@bO?jc=mBf_V3m6c*y+Wy_Vy`Q0(!w{_RpM zTzqo%kqWOWrn_Mz!B-bP#~hhD^D7+2rcZ9&B`t#qQ#}Ft_x0e4@IIReQ8J8Plv293 zp$g`lHHZFNH-oEI2mXrcc*CRBlYak{Gy!k<>{i}t2wktv&#_azVeOU3tARhNAZn?s z(v!Cj4hmhX6v^}jwgeqb6?PNcZ}=-j{F6KQwESd#(Vq-_DL(1>^9InjlxoMvXA5aN zkFt*I$HBqU7jKN-`2*F1GyfL9AIMaw{`dK11YGsh95uN^hEzTE7B+(@kUp?@f9QMw z$QQ&jOAdRWXX~{UQ1^xtJ&y7FPSSgb<;>Py;SRXmVHaK^M|}5j+kSwm0eWgcL4~n}Mvpn7q?*q`AxolS&4aT4hb4OGJF~vn~zdt9Z5$Z2eKH zL&GD2zF*Ui9~ctkec;8iqR8}Sf4sp|v5jMv0`*;Yx!2}2P_Uh?Wx)~fVWYc!RaX)` z>LBy_>$#x=&v@Gc~sb~S*>)lR-o8IXC=e?BD4S%@p z_Sv(CM-r@wi*eiIjlt^MT9@RlNU(|ORxF%l1a?NER>l@JJT@XHQI$kQflb_UtAc@$ zGq&eO)tDFLG%1Iuj0auc>n$xY{;vY4CkyAS zm!%=F$nKU-S0p-|`X%X8?utJwe>=q#5l|(xSESX$0Sx4~q}{vcgS_P*uUs0rfU7oC zRsFmAAX(jcNJPpNHI6XQSgbu^?b?z4kPcBWQ5|e8Y_W$H8-a5hCqkgqU-UPPXaMR{ zA}t|uyOH5d1)u9gFh0F99gsEb4KbbZS!wk4Zl)4z!p$Q_^R~Z65sA%D3XzNJI1cBXS9Jd{f zf#^C^WV$mF*+af6ao==8#Ro~hu2+)LS#41Moxd&k3h$hn_Hf7Rk}_#u4K0u&YoC+J zq6P~Ml+S}JHaMW_p#AKd8*KDGyTzF>dzN8Br*CB589LO|UwXQc;kMizk3V#7eFu$H z-_yU&O6-q)#8MZA4kFgl6kT~ZRR0%N6p|DnTSY=tqO#Yqgk<0MeP6Qg z>zFYMBFv0EB8rl-l~PVZT1aUn`6fysT2YbT{QjNiK6B4`Kj*y5^W5j&sHmHM5PbbK zU1S{*xzt@&h(BYX@5x2&h1=Pn`>V-FpUnfE{4|40ck1G|2J>e{&rgBLrrtGOUrdp# zQQVSe7>ZlYx76z8oC1k&lZ)I{Y7k$w#_>l+D%Ma^-ak3dgz)n%%_9r;@Nmb{^-I!F6=~W0AP_qB>FYwL4vO1k3}uqsVM;3`=!IH544$Sqh1=;sj*`t|RgyU#eUPv( z%btLmj*`B08sYFZrqt@bp9?rWzOUl^FCB%Yi`rgz!~@l-UL@{yCJfVU2XCc?NaGpSd#vq+n`dKcx;IZMd*f$4bLZTb%FzttH&~1NVsvMbm@sM21Fd$8oKOb2Qpc5TCz<946hS>p&(oe z5?A6+``TH;ikkkRSHZM|hCN1HF-pOFh{*&l;-#;F{G1>U)R@0$N z^}v6(zGs8&_IFJQ+rp6j?U58NqXdXJ#po?%;I;61JL)zQB$k%P9CN8DxL9J$i?*pmxT;q#&1 zb17I9&%gMflL^?`uNGAi1|=(!GVT+J_)yU4UhC;R7g;DLBjoWL6@S^usXQt?Gvvg7|Fla-nBgz z2kOoL1o*~6+RG;rnjy)+otfMJ$t)R_ytrTOy&DS)*Yui1JQHClW3OLD9|5zPw~U%T zOn{cjKf%ViF)*!moe|=nj>9`hmiy+Dp-yJ!H6`@~NZ6pBYWF(=U-3o7CWXes%7e3s z1%6dfY8&AFzK}G9aMm`u<1R?F=~Wc~YxCFalJf8%W-TPAF!Y?bIQ_fM(9*r(ulIxluTrgMRI@2cZw!}R3qio|z?R6>Pk^SV z%cF9Jd*Q~VRrZR4czAu$*L$;HDDXKQ5it-k1%XSa9@o8&hXb>#vuhrCL3CW&%`wfr z*!P38CCxMyUhTa!CpL05lzjT?Gb+&>31UsrSD&w)^+Le1Y zl_Z#KeS#OR2;=EN%EH?RNvOrYB0BOl7E0f}ZLE2h0Hbf!2BfF#A#hH3;RDSdZFMi% zzpRf&wbG~GbDe!bnW`b8>lB1Lr@d)E#gs5;dFO_q`|2Qj!>Vk~F9bvTbhG9MZ|k&`98m z3lI|sJq{7M%Kb;A2{_VJ^i`5C5muf|9tgCcf<{!$u?wFgu_-qH&9;Ny@NnnICV>zN zP*>Gv-bVRjv6WzmvZOISI{jGEV4BtMJ{ew3MO)#m!f_A|QF`TB-e} zbe#L7p)k6d3NJ@C*4|CDg?(miHj;tqK)rmcnm^71wSH7an|DS-{e^Gzz zV466z8MX%p7Q{e~!J_W-T1T*vIk*1iJ9&&V?AYvnG!7C|<{tz|*nmEx;p55jP+V_O zId9UN43k|a1jXz1AzQU*AR#>x)otz5)u;rpjCVfE9;A);o_F!RR*b=0_cuu9_=f{` ztH6SLdLo=CE8)$bIEZHDvh}^2LQuf)5F4{T0>k)*RL;)(!SDR5)|;~6G|DG=!XURiO+Wf!eyc19^V&c=B|e(Vu}nd5~0|sQYiwJdfz4QS`LCy?X8FR+YllAYJ`7~V5n!vx zk$XxcC*=H(uP)vv2sJ~-4yVcZL!Hu_H@k(BvHN!IP=XdKXWIX6c~*7+o8sm8O4-t3 zOnFUMf@Ls%8#!~Ue<2c{f0}BI%Q^|Fd3=rTuguYQD|3^lYb3n992w+x-W6=7Q!~Pu zM%XBH>X)QN6gczPhX%ehg-rd2U5A4_F?OZQqC_eV{?1XwitE(De|w{_e1{K8w7k&% zV3-L0O;v(}*LBfXUOawjG6=Wu>HqiaVK9gepKeY(l>m8a=ZEOd?)dw&U*zQGlNdU? z`}6OEES|qje=z(u00e0EtK%ZEX!V-6okPGCYD6s8<$jXKf%(b8-ojY?LH|8!z9$wO zOaB}*nGeE{tWCVT_#+S%q{^OIrNb9W|J;XPk+`p$>;6oWGj4Y<7> zlHf!5j^MS7sATX&Uj$U# zBSGed6<_9BOIUGTeiSDghcP#s^L9zGbiyi`?~i~twk#kM~6d?m{!jAk+81J_({P9BL0mssaT$+195IwtaNoa@F_VFpNtUE zD%U_maX$mRK6J~6LkNU$-FSF+BMAk{?wN$0VgUKhwYOdS{UCIv*<}0>iKVOk@x0#{ z;G-8%qWah!_RA~fy)-1D&D-71Rc1{15%hP^{DBQr#-wB$9V21$7qbS}0wyfI+v*w7 zW&kABW#1}!5?=2q>!vj@A$CMh&g`@nu=Q@MRpcb$*x6efl`k_Pv^MgO(OWnu(~r=J2p{Edw?`ko}co9|HQhDs@#ih%A3zX)tKO0Nw^; z()g2bm@{6ZcbJC2OUJLPAmBcM}khn zYuf40L{#qBqjq=;1H_fD)2~g3!^R8kXBPeu5k%cb{uwi%L$tg)`{qgbX#2Y;Nsxp! zz768xMGVOLJ3Su~8323Ur#==^AmMD7t!U{StDY9&?Sw!ta35Aq4pb%K_HEC7u4^$t z|AxAde3c_KPOrbEcbJ4nYXxr0#WO+pxYDh&ffn$uKK$upB@!0A4UoCTWWwUB;M*}r z4PgDc(n(1c{uA+v-1YfPsEo>-sJmha#|ym9-rGPzX73*bgBT{H#8el)nYVwKu;pn0fg8nd%}DD}QM2 z3%|gC?mg`V$Cd-()K*bd^(7*9RF!<&>A(Orp|7Xy^~2!zEowvV0ui4o-6|T|&VU)O z-I*U9BEWKS%FUI9+c!ab$DnmA+}`tCye|<6=hn2>U*jX;zQR2LQWxo<<;a~dBN7cm zTfEDh7t(Q8s&%|$A{`?7p6OOTih>;zF&}F;6EQmR$r|ApIt1t7h`7-?|Zb()BS{p9&5UIx6rW9+@i76ifare8WIiTGZ9=CcuN zFF35HuHdQ{SROdrPm?1df4lN_NnR$1B$tz#AJ~J?bdm|bHVMUQ)_q<{W`h6B77w*7 z1JJw5p1`I^LetB!R~qj!p=#d$znVik!Q))Tq%u1R)!M5feLgdx``PHBXZQXbHF?xV zWa}j270z7k&r?k3Wki2n8a@isygvF$iA0o>@i$#y`T6F{0dId&Z6NEhvT(OG5pDT( zuNFlxLH&HTnC@jySfyNDbKjnbcR50w*J z@E8Qth5LLICE@9_(QWHTnNU=%pLk_T1#^mL9(w*IqPkX0?N8N0XuO}a@OP^LZv4dY zwWo@RIUkq)`Faf%A1kf|YMX%MlPom0Ziq7eSMmh6(^)Pe0z{2TjObJ%L? zl`hI#2=6}#@%B16K%0=C^0v3>=;*tjP zAlq_lLKu)Ao3UlQNk>Ul!P8@W47lqom&SQC3hsR0l@R`fg|qv~|HLZk5c0U>>%+-d z2r1ui?2mpbo_rMje1up46oHuN)4XvYxb@YtCtoUdwcl6SM9v4bUrfJ$deNYrO1Yt3 zn}UG{Hs5An%7bmrJ-udc!Xa_eDl$qTm6dA}7avXK!R?KQez-D&po@Is&JMmbWIyU-n9}jysADh>3&?86hlCMTT}5TWd#tq$5vA1l_Th$-gfC}Svm$5Tw3i?WbLm~ zn8I}-ML6YCC3HWVi1)MBEy|r?!o=?0^PBpeFlbiYLo)B6mjbTb5b)!5l2|=Tz>dvcDs@Z-EET^|4zP`e!v#{^E&K#b(Bcn~cut1~r9XUT zA7g-$_?MK+k%XH+*q*)_PyoCNCX^oiSSU+tcvihF2`Mwi+nS!`fz%mclK{sku-~sY zwcwkG!F_7E*^{~O^;6i5!+oKks-bUmp)e7thNe3We&xW*&d-H8(SES6xveo~ISCcQ z<7PMZ=R%IehSK64ZZPWe#Ei2p6~h&Dei{wu!D`I%?9qBlAUXQ2F`Xx%)9&E|+qmg4 z+rMU6+VdbGw(b(3i+Xon?>>UAdfdH9 z2MGA+WiR=WP6@=OS=_LxRRd#lt|x8m1WaXEj87OBgLLk=u|=aJTqtXZ4k=2*OZk+Q zdntwRqHMTHSTPs~^3hh))u~u9>d6!EodGXTo=*Cl7zJkkE+=eIO2vasAK=+E9qbBr z2hH(C0r8CX=%a&iD0@z3iruRK>MyL5GLndf#28n%lec2g)-3F|^uatRb-F0A&oBbM z2E6b4s}h41bJB-PlCyx>uJ*fivp?K&lqYT%iNP0Sh5OWZG)R~~LO#^#4JA7Ss_<1j zT0MKdF#CuG(qERj27;V{=ae9i?uKMM5L18Tu2dFKyc+1;zRJ+ucGgdRGXXh2v_^UK z=E2yacgD`&#;D>NeEy?gI&Pb{e)%Ys4kjX)j*sW#tp;{pw?Jq>{2)fAxuF}kZ z5gH!I7)#PQFGRpIqK`P5)k~r0nJu}*&j@o`uZr`=q@vPJLGBxm%HT{0$20N$ns|!M zoA_f(8oDoTx@Ji#gOZcIHDw&UxbS1{#}=D3ym5|s>Bz}aaK3Y7%|#z$u&FHfuS`k7 zoL8yq8!C%nJS^Z**Mc9oTWh?R>rKL3$@DNs8WR#h`Vp^x1T=8{aog>hh)XF)z1{)? z?5FzN4<3q!d--Ii&l}TGJiduZb6|qEw0+LemQeU?(KhJ9%HPh5JRUMtg>bp*eo45q z16FtXpFbEtL_zL_hJCM@pv>>D@116bDsy>KtB;9zm5X1-k3a|SyvoMJ&#}NR)ba1>%$Fuz@N4)M7z()Hz2e#5!hzQQlY7-@(%3+$W ztwIsZsOoWvm#|^HgtX3lL^?X9i_WP|7Qm-9v_;uBeh~3IYwu!lI(Ej$x&;~)fR*OQ z&G-0DLi*2eG44(Rx|^xpjXGKYMn4}uMtU^NwG!@Z+Caean5zxmQ-xqAv)wW2xdl9( zcC{+gPsgqD4%X@~>9GD--0+F_E}-!tUxOLK(l4&Z-=(&)bnwO?`TyU&m-iZOP10cT zjO_3!2g^dB-xaXB_}mL9_D3~qSb7@&+iugb_bk8tMpI+pk`8R$Krg@gj)--m)ueD) z5}Xizc9-XxH&k{;4vv>c$^Z#+P_h@%%PvCO`z@Xa456 z6PA!kUV8iDXfh5Kk8L3}5~YQV{~yf6mC6o^EXjSfvnB7k$Kms=(PE1l3}eOWPLj~XURc@ zgikf?r7tMRt!I9(spT;Af6(+&ZKA=K4YR}($EfK0u_ng-g(dDCso1{bNGyC>|M{=( z#Z0uz6;tNgx)XJ&2YylaB!bv~1)Q?)GVtuhgN}Y~L1>f7FY>)E8z@@euC*1D@k>kV z?m68^ynW}^J~zp17#Z839^sjRhOKFXdK&_9km1^z7EOSk$0yC|w-He32-{xR7lw*r ze_xrF(csKx{L}uJfP-NtjSmilqJ-y$?bc#Buwdg7`l%xwXB1*??0=VllLfXy#tU)q zF~s8`=>!qKnl!)f>59g%Bb3L%BogR8@HW$B<&&S6`X6@P_QWp*3Wr3OVqhu8MCDvq z7C!Hfu%V9Z!z_CMS3s!0o7U{t-f-)~MQ;0rOq?G-@r@(Q6%O8i6!fg&6tpj?Ju6pC zM_ms`zspZkamF&2bF?@Mss;tx8!XBA%r{1NbA2?5CL8Ws44}YX8W(-9FBO#ECma%CflX(JLB28ii_=SuD~1i zqWQ!d3NBJ4^CJ6fkU0|WeyGg|#MYnCFZ)12HqN6uW6_@Y;*{Uxh%><;8f0$GzLtt} zy9`_oO9Wumk1JtY&jo;H+U%9<`>4pLFgP=?5RC7M@BOU1JwV|=rpd$~3M!SY@<RoP2s4d)3 zBF{%fZlBKf$va-?Pz#@gZCnMs5sQ} z%=_6dPduhH&-+*)2#ykO?BmU2^(CzGPuU?57nVm9)ikWY;QkZRE>S8TO^Kq!sCwWr z*S-@SCz2t(Th)GN5(T4Ib~({s2Ehl$&+GBOh@i3R81Su+f+o*)?v{Od48D{Nov6;r zfW6vZD^oWS@P2W~hFPvqy!zj9gAsljY#q?m-VP+Z_B%Ix=Bzi0y>uH=Tk8RxLPEFB zu~G5S;jr@0t4`>1jqPbrb|5s+cVkE_6*VQhceaH};_fHD;oSKtFp(Qax67s>wU3a>^F5 z7CvOuHRAbpV#EVELgg*nwncz7&D_O6gMvlvhQjRgdN}>?=bOFJ;qW)UkVz~jvz(Iy&=+_=ld!6c{q_Hc*icdS$?4SmAE_XagyC|J%CkDtl5FIkrTj0 zd0SC$l?`ITRiYI-6nxvovqSZ12>uZG@e5S5ptdt|$jFsd&$ip#JE-osbZ9iBkDUnL zy>h*D?K7~2AgVk;w#D?kg_yX=OiE7&CL zF{)1C+Sdc=5UFS#Il768S8sN1;;xE7MN2s)(k>E&&1%?Y9-yMtnf21$L`Mjo44)Ps z%Yb36+uaw8sd#C)O1h9{fy~V}%!8j&U>}E}F!?Y`Upi0NUk4K?&wHm%x23?+`iZHJ zhE(*Y-3W+|)5I4~UQB$PjREPhZO5fP($Jo`yI8PP7lo&{S_mf-!9b(uw7w-36B<%Q zomzb$xy9JAs44T_PN761VI9Nx^kuJRAfwReYB$ zL?-O=gJ2ysPbnG&_4VC0rjL4ob7kx8EHeveesMwU9IGCtOJ3vs5^EUPH)G7R8Vx%i zY|oZ`K*q&VwdhDGYqWnOc#rLSG%U_|y6={wV6z&}v9}YNz~)=ysOuaFI=zB?n`vac z;Pm}eCfH))r$gVwQVc=p*VLbd1S)oX)^QN9Q~+*rsY~F_2tASmlZ9{2-#HU&>k4|0!h_y4C4%Ca^)h;GRCE~n_fq?92pqmR9iG<`0l^x_ z8=Nh&FnEtQ>EtUPXy7}@(G^RE@)z07#BEem>&;Es7V7|RGJa$etrRHT(~-fohKABw z^X2L>{;;e0<9(A&8KAgNi+}DHizkV{g;J>Nk;q}Ut4%c;0{6;%kqynlyA@r-+dJHV zJZ&%5(w7c>o9_L*QcOWF!H&2mH7`1c_SA1n&?bSt(a5WSyA(VGOEQV7ZXiDSMY8NB z0TPpL4|jd1pe08$+rY*k$S#e!%P1f~-bi9gWhez1HbElB_Ja7{t@=X9@iSW6cnLvBU4P25#7<~gvx zE1OnBu7cxjP6`A#^W?Bm%?uUe6{IL3S^s~J=82+oi9{F)%A0c%&cweR`l<&$fM;B|E`Mzd*zI5X{d-Rq?kww^>CrNQ+5o9S<<1mX zr*_XlM~H^EIse-=H}3}F%~h439JAnPvVvU15(T+L9&%ke?u~Zu>`n8((4b6ALivXt zYv1pGD0x6LLS5k+reY8QPP6N-%{fHDpWX(0xS9^&*^2ikde~{Ot>MtC2Ro^_K{3wm z0tBFQH$md7UpPDywBNgz#kXn)cV}i(gW>$3o&7&jJS6Os3vK;G##Ex{2MYT!v<}_N z5Q>ck@iQG4CG*HQ_V7*Df%CdZn7(ABBoYg+(^ndTS@rCrpM1#J=LeVXW)6hj^n?<# z-E^%)mfy(taC#@8jqeXQb(isb!Bp|Hza@DzR1+@YIG*AST~;ZzFGz`C5o}nKewd{f z8Q-rdZ?y+<-n`Qeb0=W#DsQYTqajzBe2G2SfkES*Gtt9AaA|eB@Vfu&j@5>z&z}23 z_n8ecl991+JF0sYN6F|p$98Z{u^E<=eXdPSM8dV(3C!jkGQQlBAUM=vij>EyrjDLb zK>a11bXJWuKU?*#Bq({ouZM>|>>hK2Yl_oor%gfm(RNMk=o9$o_tuSye;q;fSeGBw74#a_imR(_|lXIdxvGRaF}__ZvOBxIn>yTgA&Iw@mQk zxztOqox(sRu3BHyje^WO$7cT=wZbcD?MsHN+|X!AhR*jjuN zetYwDU3x{vT}lSeyBodG5xWMFR=f*oZ z6ckfo++MQd!eb3*+2xFnz|zLG%T$)GZD$f+afj>R$@|-;Hcxv)!MwB!cg**+!_$z{eNwa0|7j{!4Td(BU!?vHg6U?U+B+fV<2q^YLbGKv4CDO*QnjtHa&+;>k zLK`mTZ+66r&Z#Gt-zLF--%p7*2GKC|fsM?ou`o>AgvSm?MF9Q6VHF#REHv8s`lq&V z@6pAG7n}WAdCg2o@#Nd=OnmOchZ(k0NB;^5PcAQ7!!jPcEK8?g0^YT6XIdbehL4Kp z(M0$(uQ$9|ITNX&Qu_a#y)k&ld?cG`3`7>*IxAqBg^V{h3+-z)a98ureP6CR!OE^$ z@w8+r>a3Jh2rsMQO1y}bt(G0!yE65nkcER;{40~XBz;Ui=gRpw)fyz?Qbf{NebuPt zu6&vBz^&O=mUR;RA(?%0j{6oFL-KAk8G9VZpW%ubVG%)KIHhmF_a7M_RE=3(msLTl z$#9Q4CIKQotLX^;q~fQyb)Ope9MG)j)x;GV2`*fX9yMU;HT!yB&ew%OctSI3jq)FR zs5zb^-@rjZjkj*zt9<^Lp3m{0dV2;Oee1Z})R@IfrY5So8zS+E=lZQ<@g5L=m~!QB zGzF{ftjqk?5rjhljuz}bJ|Lv>%7{=*#qv1$ak@e{4)L0PT_BS|dGz!JUN$m9UW+LB z#$mqSrVm^0`hmVn8Ao*i887Fa3eO-i)a4RZ;uDpKhe5ztel&7UvPiKO)1RqSlH?yKmpou zX3Su78s_b8^Ei8vgc}Czs>SVzknj2ib$}!pjlUMO~K%I zKeT=8Md5@TFMCa)4@fpX?;K34CC&K( zv#>>9?mHC~$Bg!+Ri4Dn^_m-Y$oj*_$YR$-FDf1)RCIlq^TsIpyZb?>{Go++-0sr| z6`MM1qk0boq51l|hb&J!z})e8fiGrM6m65@w|no2zh3@%m(uMClfvfd9h_8LJR)4V zZ0m*v@4j;oo;$(0Pw5Gp^jLo2llt`O)*uWor!#-<^M;Y0Y&oS~D#k7Em)O1-iXVsE zer9lcL0+Ksh~^C{ZZ+QSpseSIx~n18&1XHq*q2+@vWJS<2Kj=YT!JuF>vU-H*HCDB z(6YSIkBkbI{=YltoiNPpNoGJtBt$vUcAu^xBl|YShQZwqD7s6@WhKo9=JMA2S+Mjj z<#CepQFK7*uzjXy>bxL+r?lIt5DK0%5RR|-=?Eihzu2#tiiF$TcReKbP*A)@k?U6I zHcaBsyIPzO3cbhI_EZ?K@@7l5T_&FiJke{9+0Stdws;HFtY`TjhAVsfI(|7gwzzup zo|6I83y;{bO;E7H(Ry#8&j~2j&Acsk#}uaR{^HpdRxW0*l~Qte#1iu=b+ zZ=0aCMOsF!9Ss*3Mw-hX6u^^jOCGvcy{JdCV zG02)1$`>|bQCSg0KTM|zjXS{YzF?jXT`JBhj42l#FNANo7n-!MdI8gsYVJG+!s)sN!ru!@_NFdY{v_hB!K>02 z2I){NT5(yb(-SUM7$uH>CL+^8c5j9u9d_wRGYmYYon)#=mc zxAAy^XzNTY?Hm!WJ<#sq$)Lmd>n&dY0^LAoqr3t~EeRJ79nZf?phMGrQ_)8+yus*I zx3uvB2|pLSH+XlN4kElYmSuWga4x3J?qVYm-E)HLj^)vT=ehqy0e5d8?GMZv@gw0_ zjm>$DGjzC zU&nO`P7ss2J^#vV2G(oJ?fAM(hyN^}*ZYcwGC+qlExfdJ17Gl~YdQQ==kfMU zbh!7T@U3^58{Fy-JEWUT!<>XtYRVV`jLYnXB-xyx?~B3LU&k`=Kuk_oVjcsmTgm6W zb1dNzhpx{^Iu+mi8(6(!%K#5W=DA3VO1@nt}mf%aafeFD}TV60H)j=cB z$Zx`&h88;bFdO@f8sC?ZbQ-D%mBPsWUFt7EPgn9wqtpELj1 z0WPi)-NF4|23B-$n7l5=go+rMn-|d+Y8+)=k9$+_ozIm+nSBhn&)8V~F7X(c_axcH zu;zA)Z`aM(0VW(N%QSgPwtx>(n^dHJW#CB94g(=}2AqDqH~0nB1GL-k({ zV%xW~>MSP5CB8BQ`>Ipy`KC0?@5kRp->qeso%!@ENZVPeqVhw0{u6=#A|FSC4zy7_D20Q+KiEoJ^H$B+kQ z?0L!0!bo`XEzdgZ$|4y0qJ0a!GX=R=c|F?T-}8a@ zMX*InCvdBd3f$D1Y3LTqz!PfShc68kfjXal=N$(PJTdcyE~A-&G8}!zd0z@)k4W)1hLjuzL|)1UTV*YuULC6WfwF3@&NwhS>}9KNyG2A zPW!#4Gr{H0+%!8)3f3O1o7W@I@SE=TClXUkm@_8Q?W4Ug+wGjoV4~c^{bWw)wk;g_|QU&y00fA#~JL z&#DHg!g@w#(FHy-s&T0$9Hq1PT=%YPjFtmb+g{<1@}c2m{`D}n&nz8`kvgdT;253; zvm4*eQ!(Leji2(ZLKvK#_t?D09M;c;rSQ&Ypm%0v=USG(s$_+z9Aia%%U*HU=oo8X zT&%gittkX)8ROcGpXFiYH8Xm7k&NYn@lN`wOfcv1c%G8$1-UyM?4(JkBkn`t4K+tt(J;0_RTUf%7rknH_w>hV*^*etlQkU zkbw_hZBliSW8=e(7s`;ftwX#;&FeoQX8Du1H`&kN9L}_Aggh zb2*IomNh3K6w|hF5(Bi<*GEVVI>LW@jmvl;183D```pqQa6xW+|G2#!OgZMgc-l=y z4nH?a2g{$#OuaBxk=Ywzpi$|tKVR3mKE@r$vX_fC zv*vT_(MRp6ti0g-@X~0}f*o|&I$TN`qoJmSOfF-k09x702%MAd*wvPkeNu~teTUxt zS+-_EpVw2Wy?`E88)udJv3%EZJkhC~j|q>DQ)SPc-ic>liFOf4G-TIKqs#xJ!%rb^ ztMs)Fp!Q-^?h^}#Cr9VMuck2|q9OZKX@mo6Q%Chr7t=6vUBmC8Fjk%_sUzkcCG1{@l{@_lCY1mtG_ZQI! zE=-3-@2Aqxr=`42eh16feeE{y*u%;TR$OoV0;yOgH`Zn!%7Dv$UYzGH8NfvO!nb2w zG&H-qtIq!f9jb_me1Gb^fhl&d*{+&`iYAIP!3L~cp!0s;DP?akOp$iZ!VK)H6pL2U zVC9Zyc9%-XdN9`Kxpu*lin1Rre%bBHfP`63(;Kor5YG|2PPT-Km+K~rMTH6>MA~+X z*a;h0r!h75i*=6q@yZ$ESz!yAg_rGhTCQn6-3U8h+$6H?DUpJ4NLfE%wt zWs5NlpZ`qvta+OQs*H2JCH1!OYGJqVL>C$NH(fg4#90Wp?xt zI?25;X2LgL>K1+$KU5zJpHe?S!`x}^pJyHEpu9EzmT#0d+}xip(%?eIi)57djH3he zd_8M>-4ix8zC(prB0l#kbC=Vl!+};~MdvkMP`M|Cz4%B5ItU9yd$`kKu{F#6mbeED zM^LQn`A8Vb*C#aVO@}kO1w$5L-k_H#eAK#`gl9+%ht9{+!Bu;eBHrW)JvP}~uj7e$ zGk$!@FNhA-6F>7dG9Q3rZ;w3 zZl}@V{G(kLuhQIrxbf*Vbr~AMY4*#VM_78HKz%2kZUzsR(;^Ce$@nyT-N7=JuM^Cd zL=}n)tnMnwNG;Dm!vgk;S6TZ`UH)6Io@oo;Z!FX*HDn;?K%d=xRy~g#pID{bF#_(% z?R#VSY4~d(F2IY83FBUp%Pp)q7po2JX%nHML`5(CV?73OzD&~E$*{&m(3sEnkn{G}g!#~BK_Pq(Q7@-wCLOV-_ zzgiWg9gqYvnlCMV7*W`?uItC)uT&7?9M}Atod~)jGUf!{NEEj`x|xS~3e*V?YS#uN z!|1y2J*BIWX!YrIyOdcz)RDsa?>Qzx;+&P;1da9k9nL=AqdD-jP+*5&H=+GHr*NOJ2=iUpmtjPmZ3SlnAsYgk@Mg{y1s ze}32y1qz%Fl!Q&OC@If>z5sLJmi-R>XQlxVY_j*O5j`IHdPEj4Fv##>S(ayVE)-lH zcg7ji#^TnW@1OKvN(G(LlUx?xVn9H>P%vR<4Bja<|I_GD06!*4p_fGiKyuK$nW0I< zTZP*S)c)kc{*ROQ4g^L)hw#I#H@ai-P?yr3Y`;9H6PvviO-zE+%h#!oKE`9FQBQ~G z$x|$zaWK7oBN>*&`fs<1#^ZkzpThkJDPVRf=9%)9IN&@sH~d|R)z@q>t*$r&0`&>L zL8Eb?$$xn`?OEJgO$8qwg#f%#Sk?j+#K)tK>Ci$b%_cisAo$?(lgKq(L%6OKw4g057I5WoPEc;gR~k_K}q| zVEestKevqlCu^g}^=jjB!S&MXDJB&@q^!NeznK71>*j=7x5wd!{Ovq-PpFWn(=}42 zNq|EU%};6dvG{oDS7fj$-RV!$d(-qd3ed7kl4%ga%!EJ7q>}3DDnTli^SvhbCShp9&pk;qymiRyd6S zb@%1SNhjhku>QccK%GojuTf4He@K8g-rFi2c;j*V@Mv;3cNXxRn>Ghh`@0%Ut)nzQ)vM4-9)DBQ!qMM^v zNHPURZ|&HpA{C1i0<(eqI}>_U{I4AvP6GKSC(Q9|JStvm^SH%Mf`en6V2~aSatVuu z*5d?x(erj|+D_{aj35B z>^s{^gPQ`8hh2aGT;h9*d~e5N3eUO6)D8-0XD!#g$V!72y$XvjnsF!;%MlgkLxlb*gyw<@u z{BAt$_t=R9O23N^uV>v?vh_}KUrsz`k5T_|4^n~n;d4bTEfqF)Xz`~t#A3;Bvhh=Q zD#-E_kk~ELpk(UQ^nU+DoZAQ-JKHkAccf9)#Uu>`y`S9K85oBy7XoBMUsK?NG-E8( zH5Ht#BZB;fWAVPBtXyOi8PxykOLSGG!cbqwK4beh7H=r+Xl$VY(e&A_va~d)yu0(~ zbY}vdJnZ{6yO#z@|2dx<7fyo*R^z8Svf}V?0$<4+It94Xw(yVriUqEa2aWGZF*rKI zE3cWG3FNGbN5>YTLDzn*`Q9(lcx}I!PkCA%d{;2|79kJ|tIq6m|D))<x{C}OR>mjtslnzJqO|%eEI)!MM2i+Z*KlqMAWU} zl4a$m!ScBIY^Z4r>{$QG&~qvd2U!0*w$PRfW9`4b9PfyQaGoB6$3`Le+mbA@;}8v= zs?WxLza0nfC5BiuWFqj(1~H^{F&l&iwRV?(jsdQ*pZ9)7gy5F;t;?f+GzdAgpGPP@ z7R-lRBM;HSkut-~vt*bFH@08xHQ5>u%-dY={+CQb*WDIvkIhbktAse`-Al3XmgQ2? zHs%n_S$d#wSSb%)=`wd{2*(4R(uU64kTKP*pz&-K6@&{5i_d7q!+g}sxB!s|>}hlP zXh+F}*Gl&F$LnX zMjR>#3Ba#0VZv8J!cGo_ag&7%*svHF6#5en4vn?>PYa?jCMT(fnx77FJMxd7{FngG zy_j|G(CZTLSYr53A{9WyPjJjX5zG?2Ek9btU}bY7>AN%yGXKO0y5=XqBO2TBquEi& zfAyzjr%M_%*EOBX+>r#|^L`gFWYYKBn@4%C8EC-!(D0ey+c=IYvo?lx{!)Yb-c?nYgPlb>Rsm#&MrBCAE4A-8`elg+r?SRh2?YTTy|KQ?B ztBwcbri~1DC;ENv4h^%M&VsM;Mw}1lVxTVhVS{;72#W4$@t1#|NB4K0x}O)~!1g=u z{-ciJc%1R^r+3Lzcv&$JdeAQxe)D*hD6fWNLX)}OQd~ZiWLf|IM~a65&S<~i2~pS| z`-z7mKLZxUi`sglV__;dC!u$dkgKJBrv5y#NeE)2*>vh%`Ro#UY{^L5}fopT=UuG_k~J|DKkznA4n zjRk)dS)u*hU6$HU)-TrxDi6SSBQ(+}KLHw(qX=V0l#x8q32cCL%>?#+Do z@aDmn;o&$~f1Mz(r!gE`yC2@jW2M2wLScAebu`R|+L>L9kHm7hl}NAhY-o7L6JK+M z3_DrW!~V<=&_R6VO)!4}$dnTz)-z+^%^ib|5|ccb6ZXId4k4Nph*0FYDx@0^o4$>to|25hI@zl8 zMrG-+U)ip1O(p?YPJKJPQ5uEz1RjB!MH*OcW!}3a8xNlCr<4L;MB)dx?kN{u3NW{_ zbBXCCf>76&UKeqC&W_Ewnpx$*Km@OdVP^uwOGM;O43Sa4Qdsp#5ET}W4d20Jv?cet>l91G*{pM9rI(%@Bh&$hy035GRd_JW?!a(wiim415 z{1VfhBCf^5y9rV1$YUZh=$<-Rr=JcP50K|nW+Dh!CDz;8lku*C+=vN7HmJ|*y$)7N zgw<-x+Y;f?*yNX4yiU*Afg?nbF6(%>pg%!<)ORj&0hyDBzh2c#g7!nHEE0^-s4()R&(VYmA)X_Ku{V-H*Z!)Pfmkdap9ztC z!b63iryY}1vx#6bWmr?ZpNuzmp7r^8iUQvsp0yONNP?KX0$YFVBV)=Ndo|-<6u8{! zFmPWe37%(-VPq&7S$adiZ~sb#^OSp)uYhh<7P5S(n?I8b<%*(;#R|5ViN2z zPV9e>M(3r>na#G;u6hz4 z_?}hj%9{gEqrY=W?xOpP!vt6Gix|AR`_aMY^g8;_1?{z!41>kbFtDXF6$@Go};G^V>Kgs9YJfK9!CaPvkISlyGXO?VZJb6uZj5`LvY`ie&4e*=j?>|q;Z zh8X-=a<-I0uVY18=dJO{Xy9YpyzPc-0t!v<&Eyo#hLk)p{Q&xY+cnA#%9qJFjcl{* z)0wb`w?Sg!Y#bO72*LqMWYno%l)K504h4^CH*N|fLIC^N)T1^sra|zj!O?6W=_a@3 z`osc%F30X*gE*Y{8Lgf8J{$5@ABvo$-{y+Q~|R)>vj&!*dD1*;H$X%{lyF@Y-P-P!k-LB7`j&~ zevt6*99x2;Hw_kUXfSkWr+}PQyw?JEH0~HO()`ez4)PHi`oBeEprQEtn?5?Ho#%Qz z-4&Gvb#Fb%S}{p5StSwB>_A51-TBRbC24Rd?bHvInt0$)_i3@-8igwfiR&kt(_qJ= zHioe~NpMThOt)#7jJc_QU+;3Kf~lqP>=pS0*ef?ZKI%=x7pwv_);+PXZ|}dp)M7HI z-#-=Br%LA>fzQIBuV`?V&|fg09}i!@?%sEXmyAs7E*!t=De&j@dS0J@jH36+@NK^Fi?uX((lzx;hnfsKpIOBdi|G3>_p!pu zi!^XHVIS76O@X`0P4Sa%(MWq3xA(kyCjDIOFJ>Q3fkzZutG^=AnAR!0u&a&++qc)R zifN_5GtD8N(P}a}_Qwqd6w=`MgTr%G4aqQfUF6+7-FH5Hm$*(kPXn#M26h&v6tHuP z?^#JDqelkWPFF4y&Y!kE`}kQhD83}H9vdd(r4JHKGJP~S^6>h}%XZ0--S$#Bir$AE z*OHmG(S1SXz%qMA}*p^JpNlXEY;MRyOf9d@ELg#`>csit(^-AS5 zCc>uWOsh|FWK?eAFU-@Rz=_q())vf((CY6p&do+f>zQTtE}k?Pt*#5D>`MZt?`<5y zqS5$JW&OQAdnVY|nBK>mi9jn~dNXZK#-7Wo1v*bNpt19jn}16Jm~xt=G#QeRPpDH| zjPA2&^1ghIBN0@;_kAL(lklXg;`hibD*P_=ec$#u5uWxe?&1F$gDx{oH&1hCLYDh~ zoBqhqJ;jgT;B8?HYWx+5v13h#-qu$cj$Vl%Vw@TrM4xNjcZ_0e+tT224Q+vk2736Ar)_HV26fEW{13&Q6B47%FFr^XTr2QR1a-zoA1 z-p^By#oBx^X#U|D%F%Ez3kani-RA=(e~XQ`|8v8a4`Qvo%%ed1{$}MoL2qa=v^8>C zRR?;Pk4%I{LAr%O_!n3rAduqW5Ux+`re}_E+divyeFLjy2rfMSwvpfeRhd+~- zG7SfnW95u1LN?HNY^0v+-Z3zHy48+5iUbU~!I#YRHE<8Ner9ZdA6ycPPmli*1@+@~ zT_q#FINldMpG!-M%2pbj{pC$_vA}9mMjl>B4)OCSz?s z0Y(Jt8!Cg{Fv4K$=c5nWARE`&{n#%G_<{~i9Ctl{b?5)BvuN03;>mGOhx{nO1IK1g zo%8?=D`Hz^$pKuL6C~C@A;M7|ucuS@1Mu9BSe`I56C|kMU>{ zC?321;BJW@{2ZX27QEw$`&K>$_dkn=_MKcx@>~HR_SQ+=%Et%wN(_=N*(Jg1l?J#oM; zuXZd@HV}rx>T5>WyfAA@@Rc%qGPtJbT0GnA4{8!wnnO$um|WA;ed|vg=w1AByJ|8B zbUb=9Ra=}<+5D!cgLy1G+LOWiI6Me6hlA=zN9-|ZyNmI{uNXL}4?I2feANF6); z+yj&Ca|3AZNiad}w)P(L2cZL_7pFqJkc%uKAN(N#PF=`fs`B&(=@1BL){;Q2%yLPU z%aLF+Iyg{muMexmvf{zsa*(mJV#hDeFtE5X$(6b2hx^XRu;=DW;%iI&@slgzuzlds znL|hD^EPd?q}Je$du?(w(wP&W!A)_9JQ4u54TrB4Oxoh7g}QFZh$tA$)?ODjc7d&* zrLUW<9K(aNR(5H&L|CtWRGTKRio+4pL#E?a^c?rpFB>O8aTTZiw`2kyPt{8r=-&^F zVb?l-uth!LzC;-w zr-Zzb{FJ4#GA|ZJG}vC<*c<@y4?jw)nK+@a0;S)fG7fZGW;Qm5qc;P0y}u`xgj;TFeQKg8pc`c~LSTDHe#S?T?;t`@v@ikK@a^ z{#g1ozI}CsK1VO2D`Ta7p~GiL@MW6`9zB}ry}COB4#f0jUrLq2E8lqk$zIn(?jPLp z;lIOS`p3RCwOSqQ*)()7$-@9NqFpU#c1D8zj%+GsSYx&;1LN4Z5lS?j*zsi>5g6>% ziqxcaP{_e6UOwFwJeNPDBpoIJ2RYw5)4&C{T>G%cN7MsUOGAGJ8Id6VtJ=Uj2C zpqqE-_j}!;iYs~}j|dQ`dz$$Bv?)H_wU{`^RYWI@0?NYgrty;ltv3< ze4y9eQA3FYuDblr2pxMEY!7_G%>1s08?>C1xU!Z3{DByr0(#*`fq%s?sGl z0*J6qNY!&XgRR)Oc6PcudU+q5k**Gfa9WhTMwlza7sMz_-Lgb?X3@ZJ+oRy4bYk33 zHB+dj%CQ+p*y8cfwG&qCk?`ADbU35R9hxk3PFv0Dq2#xJRUI<9~Pkl<`4#M6V@hHFN;qcYq@gcdm04N>Wr@EFMi02AQDBe#Z zK#F=OzT=KBjJPy3r6>pD(%$N=kvasZ3_P6b_`)B?TW#|q{Jro~CsT-MCkb3#_u75d z^#!ewpo_AT{6Kv~+*^wPQ~%B`kzsGTH%f)Mwrn57SV5PRw1 z+HQ%%=LO9uGEq>m{8;Au4I2ny$Qsg?wm_bgMbf^5QDFD7vB4rJppqmh8 zBo*xe54vYUy2;1z@=yKM-wIK%t3fQTanJ?cS?$QLGV;b0#=%V^u9`O*tr zQe~JPxP-&|i|f-TSiHe@KU-~4fg75>7|beYi-2JMr-TSEFL;}m(DK&G3lk1NT^$gh zS#-2HxWf}H3}56r7g&Ig9#^8^WEAY%7kYY;%^ZCu&aLD|*}`XiztWeHB)FXO{@IJ5 z6WC>KqI$uP2M>Be`oqf+P|NfCIj3L0wu?h1O>{~ROSt#y3IC<@#*7DBdZ`(T7#9s+ zl(WE2zG`0qhA1dCzACj(T@84{5-lf>Y(?2K{n@RmQE-Yj>#1O^1?Zl_n3I11(iwe< z9W6<)>B4ybtNW_()bjq0+ae11@tk%O(K`z2WL!?K9kGI#H{DeN>6W<3^ugLM3IT{m z0uN7i=)<;Y?+$o;7G;Y1wY^C;MDloHc^+y{yai>FfR zg0Lm&bB@OY`aDXN=l?gZ4&U?U$&;_R&S!YaMn`<2%BEdW6 ztZh^$Z+N{WQqpA3A6eF?SSc0ZaF28|v`NYrF7xGmoe^=vpZ%Kxn}0^ZA)i{0Zw%gW zYalj5kIM%yI~&tRJxHMXPs9FUrw^Q=e3Pu12*Q%5y2iv!;ZXhwBsd%V!OW}Rf{Rrk zCWdA=o#!Ti@L$E4+3$WpA!NFhCi`K{$&lT58Hk`b*LV6unGbwoYPhu}o6ZB{qJO-- zN$^^Fi>HFK7g*+B(ikrDz|rpNw1P+O|^j!QWhG~5i4 zzJgFhJ3vg*J`PS~hl^eJ^@n3xCC)PhAJo?Lv$%AM47>UY$IR9PpvW;kVmQhTSvBH? z%qycn|5l1HVIc?%tWU>9a(d!p2D!SM8FVh~9)98YF9@#OyU4{x_C;^b!4+a!3<&Pl zRAboX52p>XgyMULYb{FEFfZBh?Z18p zh}7ClnPBsWwEOKMQ}*5%7B;(dCDj53<-yFpHVQUR1zz)t^}#Jlu~}U}Z(3A*Fyt{U3C!8jlXwjHin z2!Q5WL3$S*-0(<}n#gi88Jd;CbnaUO!iE3-erXBNgzF8`Cp{YJxj8k%JF@PAW^F>j zkIO8Omzj{Lc#jCCw?t#ME}KGU{zyf{Pb-$`|z)CwF3#Ju6HO2dV4|0 zmhvo#DOc=gcKd8z(-IN>D4MU^HfaNA-j$?Fe@yXp$>BR= z#zYW0)W+xY)EGDSXXU94+2PjqXr*T%F|egZ)n!vo5cHQb{8G80hi3^#m%?<2!2SEo zh0qTGT|lD0cKATyoSM>kd+ZKn)h>>Y11J69ndN&yP`G-)*VoV$e^gy5RwO4uPDb`K z7vli9;$XzjsV$G)o}=f;%|sY@@gt-tI3svfx z#tPlmSny-BQ5fCJCj38zN$HtGX=s4Pn`~Fi`xmB12qHs$+zx7P2i-ezBU}qPZ17xn zE8CwwBHZC*VrU++2eGE1j~3UpK&>Va$y5@oj5f!7??watnMAy)W(PZ6Yx3 zd?Qu2E{@dLjNPlB9q{~WveRA8D2QX*yEB2&9sFb(ciS9y!YzkxWrc1^guc#vdBs-& zFm?LU-R9RWm@0ClTiPogb_}SzUUm7z&g?mU_duP)@x`ULsI)jxC7 zF@vsnb9t5F2O$YEOD)+W3E=RjY+u>$0Qj+R!1F@L1$s1@T#Og zd~`V-PA+l9?Pbw!Z+<4hw&_L7FKhvz?me{o{ccCR7$7IOP?rFvZ*DaCehdUv77v>J ziX(p7uq`zxNQ9CgS)ozeK=58nc(qLOL$b?r;?t%Gn7d9%>!SC=fxeSZv;O+yt;vr@ z@pA;2c&fve!Wsx^1E03;+~t91#%033?Wg+%%g@OL@PjDH58HUx{V-J^!*swW8Yn;B z)D_qH0QDIUTUto~MjUmNbk8J0uVUbY=mkIUE|Rkl+!ugXn0MIc$CE(AKJT8+nh)GF zwo3}8`k=>gxvl%IlEKzP=!;FZALRF$rmDU7#aY8h-{6gCu<+$b^6U47N%p(`=WRUj z;AVF91bQwk&yDG-_4vVEt#Rj!Mo%P2bGEeSli={Ro|aKlKRCH;C*faa3hhVC__Ac_ zetNfCR;z*Tkruvf%ADRHxJ~SU^u0*9u~E)hwJ8u><<17!GPnZYXRZbLXOXbsb+?84 zS15cDGhDqTZvkc5feaUJM#Jab{4cMHML{f+ZbV6h4&30mIsaZM5guqI|4n8gK+mf& zMb+INV5fNR7UMS}7%Xk&Q&9DX(M?d*z~_nj41a}F8`Gh_SE%#E7BXmcRLxh>{Wm6e zu~OzsI_#PXm$~5_1Dz+6kLT}jM~UQzv6Uaw;FaK4AH^&p+**0=;d4fGhlIrG2+kN@=f zpemIPGPibhk}61G{pK_CR$q6#@U6;M|0x9&Mfg-^awCBfjJ_3XUf3VfUBYya0_HpA z?l!rRp_6uCJ%^s}{PT-eCn_i)o4kBxz9R}EM)AQZ123Gt&TcSBf8P#=dYL*(G-Uhk z8amu+1$xOzHePi8v5#3U`cH+QDEa!58ERu3{CxF|{lnNFMch9BLrqxS0FEf><^i^{74 z1{V^1*naDxN0c2BKgNxod6Nc92MO8*XXsokEk4B?;firgw%fjmrGug*-=2$GBEjv! z`=z%GUg)T7GXB+q0$dE_l`Wpp(E7$W(P7LMcOFi!`PPvJzj=Od|Bw(4pJXbgTm0l!e!5`hsQ0Zu1L?p-TsEy(Bf&+9@*QQC4)|h-r|_XJ z1*({>pMN|{02^+lEGZTvG#|6u>~<>!#$SH8uCOfv($kc=M&8+Bt=lN&AUO>l$#WHc z*c}CgJ+@D)M+V8D6sxF})M$bO%GbzhuTz06Qt`fyg#^34qVOmY?%Tx|i|`EUB4$j=nm5^SYAEf@|@E<7## z9cl(U9$ra0&`t(FLodoMJ3km#iCND7W(wzn&Zu>alcD;?!O_NZ;o$R|vElh~M~M5o zrX+tX5@ci#4lC39XFQNcBtgaoZoZV7F4u{IAO=lm;`T^*Srhsxm?;qKU02H5d;>x5 z>yu6AK6!xwo0?qxeIHmZ)j8T38w4>@Yd4e(gJAncs&c@*8?@=K%m*JQ0EHn)bmc7p zhIQvZ998fJNxfAA#s+$SJh;5I(b*H6<#fKM2_J@P#kL|o^#lmg?)uJtB?>IwMK=F_ zQj zU%q=mKaZfV3+!DMa7T%?VB91YB3|dWMjs6ampUKQgX){nbLT|x+;j>=ZLjq`eS!cg z=1sAcVp6#I{0vUxAMJ>JVNz@GxXZkrtQ9!3I-`PoxbHPXngHE@~L zJO#L~Z#!w;9|{^3oJ-WqjUrYqt9<4tY$!LwV;)!F|ex$-LAM16wH<55`>U^Z6od>G!n6o$| zMuCsX_+&S|ehu6RM>YY%H2Cs|nUcI4n&SU-Ni{;J~pw_Uh zteqpmrn~Z2r~)dGm3{SE-m4@C+ImJ&NH!EY_lb_}Wpcs6#|5L;i_)O!pekE;4*~Yn zbF%lCx#OA4Yyyj3I+O)i3O;*4&jpz}jZ#ZT{8lnw?pu)tjI_n+Nl^j}Jh^IcaF-)$ zu!#8Dji8k*)L$I^h!#Y^yZ zRVW1L_wWpbI%4k@o^PF&=}>E>pckl2056ft4+9F0KqqD@S_~xsNh|Rcr)wyv{LC3I z4Yz=0o=ba18ROu(AOq>@?I0jq+$h`@W`orfhGtg(H1H4+>Cz_>V84j{!n7umNCdbZ^V4Cxxd(p!J9+ZSbP^== zSY=Rj!l7Z_jFC;<0?&oqUYcr7g~Z-NgcACFzAJYW&3MpqCLKKXm^>bfB7pDIMUTrX z-nb^sdYmDT0$1v@?)4sufhr>BKkcI)sIIQkK2k&hrGx{9`#XqmRman&q{|cQ7A$99 zIi!P{l!^@7JQzotk@x<-@s>~fPDKK24&o}g*2z>{}x?Q}yaaT#Ou1YgKj}A9( zv(6@id*__AaFiF`9j585AO-rDS(h}DNx@ zopQVx@LHp`(n5&{TS`Jb6}EcgE6$mQc@_$UONs2SjE#m~a!V`6q$gVa>>_^lrNB=y z&C+-;5=<<}FMBnMAvW&X7)wlswSP}9?6xMrg&?)i1EL5eWA)C!D;lpZ+5xCCmf7*YZfy6Y;ef*UfwLy`vInp3emZSy0T;E^5h9z zi`RMd{8B1>`qF-`YatR=Pv+gtx?ziv5bt2fo(}qjtuj~7MS;z2bFl-)HaNOel+3S9 zfl0qKrR?wF@P7Z4#s>pyl<3v|VyZxase>oHHdRG}qga zm0L2{P;Q8s+h*V*m*R#(t`7Xy6FwR&n+a9rS{6QgsJP>mMyGJO8a_4~XXD_ChAdVS zk@n4*$WiSOxnr9KoN%iDEv}XgHP>yQC0Qn;<4qyLHDMyw+RS?WN{jkk?i6&M zUTWSUM8G#47u&Sbl3?dCrzQ{kG~9f(S?dd@H&VA+4^FOU!>H@C&1S#TG4(=;*y>s+ zuFrDlPdQpb?)Ec(Dkd{9>F;u(>TVmHT53P#@-Z03^8<2XS2Hlu?zvpnx)*jePVfH3 zY7eScP9L+NKYzna2D@*lGw%BDg=cJKAW&{E2?je;5#3C$l-T>=M)W6Pm%U*i(_IzS z7?**i9{wLVe|sP%A6a0&d<B#{{%&x9zPRq&$_leG8_bCc)8HKGAvp)FX?glK>QXru(VX2pkiVG_an&o#7!%rdm zNa8Uv=>Bp!gFcxUyBIim-N^^MuGM$4BXYQCFgDbg1+<*&Os>~VqN z7P$#Fc`E81K_*r`cZ^?pyUWPc6QW~7IeG%AxOsqcM_#EHR{4d>8buPJf=$xdV3vX$ zdp&}~qs+1P;H!ez!{%V!BToB6ukT%^u-L6j)?jSxYbIA&3Jl$~#M%eu$hL|M`{;eA zbu-24Dq9(3>pNYn6t#s{SvD>frWAb5TioF0b_#Zyd>i}WzZJH(@US!OPeZkTw~e(9 zmckB#<+Z}F05o%_#(eC_K#NVITxUKOz)X|-_PfLr@NL)D?fvbEsOLnU5Npl@v*4wy zm^ZN){a}N_)gO=VSG4>!d5WQJT>e@c3jz1nQ!E#|Q}A3IXO&1_s8U|DF8ZbjG>eH=ep}suHJ@Kz%PkGB_ikyJ9V`N637t=?JG~&)?;-1L)im_x z|KuN2Qv?<-zlw;K;Es|9vJEznU36%H}JE z&^%G?O-H=Ihl^&;RGx<2#;mK4w2C3%Q(~}!wiA>*K3V=qF&(Q+|iT^3=eF*&3C5$R0bMF_udP7UkrU1EuT_p0rE>VW4V`dy*8q6}n` zPG&aDS-`|Qs#W4jI_4KY_qUrVg^b4sV{0`X@x0REiK@yBEbf0n*6%5X{T9y6_Whpl z?6dc6r?d3y+0OXuM4y88tNfW;dNknmpN{c>yJ>jlOwh1ee<|F_))CFV;e(1pp8vAW zW}t}e%^ggFr6B+NvhHW$V0=*N!s4Gx!3`Sf7POYZg@eMQ!yOv1BCnV9t{@E+W*vhs zOP0d(Wj>F4euuC?e|=qZFas}!|G8MhCeI~y*pL{+ecY%ZTqUc1nuw{p8M0=}Ghq6Du9;&>EU=6PTfS_Hz-6}h)ztPZAonD%^-9G6tF;<) zrd~J(H^1}x|Nl|;wo+J&>f#_*H$t(pB?_zOk348INCNAx1+M)!!hq}W<^PE1h`8;f zVt;r_0oeXF%~=%i1)rH&?J|ob>_1b$t+JL6^L+Cp^}CT^d~n;9KNZo)t5A4;@;L>@ z6yC-h{Y3;@E#kkKaxKvk_n|Zif>6wK})Glp?+>WaAmddf0l|wj+Tn@MV<^e zy4}-<%_#8N)jLsDl7Af|-sx?L?63LY~N+UBEh_r%AD1d~iyx$M8`)L$}~dQPm4r*HVU*y58IaDM{Bc)d98``TG5@YgL=}ox zfAL5b*!|$+>{3dEqaO=G2^2CiWwFLu{-eMiN?oV;v3TI9)~I`?8-==hJBae647dPn zrZ3+l!p;jXtlkBZabS6SH!RWMUp0$mJIs8 zT#jT`kg>wgw*Bib8rU89w*5;=GF%fFtXn!s#7PrxyuQl!EX4U{!J2I+?=zN6`u*pgYU=z+(}Rxf6cPrI~u>YaJZ@D zJK#mu&;!17580@nj*89pf>s_Sa+-bsmd&4?+)W7qzOLA>y!}3)S#z;b*VGydz7$o7 z-wuZ&6jsZQwFaxYdonZKCLl7d>GG0Df|15=s)S%3biKMmaYIZOh5RZ7Gz$o@)qSPb z?zKB!qm*^j`?-T#t;wTtTTie&P3fEe;Et^KTb3Na5j;JEb{`Iigt+~x0}Fnh*sl=U zu&`!;eYwr7&bJ9*FKpj=DfK9RYw?}-8T7*Io$Y>O>WQ#-Z0K5%r$4l^1y#%cc1GS+ zr<9~iWVm9#p_CCD4E*uu#*ohguQ7zP`JYGx&4<5E*v1Bc%KUZh5er8Y5bgpUr5Kn^ z8W#8f!Eict=W9PP59D8aQET5of}t_V;}>m%fwqvdy*1UrSDaWKFd&-0ufu zf)H z_`*xmdfVPmsJvil5>D_0Ve#&Vf+r7Spy{=zoFozuxO=}AvfG1Zj#TOQ5`PrxHoi5` z5DStoojitgeBpf4!}n_eLCB;XuchiqfY9|l)2^ZZaQ?>IZ24{)zglz&KyzeYojLs!a%ZcSsya)%J!mW#)RO8FT!kbimrllLT!qE~X3CyF+?U zN4nZ(KYXd#bm@%%5$xpk+!=QV!Y!T0$FeG2@JbmiX|^^D7M7x0O0ToCDCiY`Q?suw2<(h)RLHjeC}U$+Z@4QSn7PDqz7+dHzEl~rlcodS zVK7yG6Bh^PI1F=RDudwZO7z4&PB%PbVi987nE*E?^pv&s1wz@Tq$1A8PN;0$x_^Z+ z0o;PNDT-GGLfd7Pk>M)=xGzogtihcKu%G*Uc8WUy8i|Vh+_8RW63_c|TsMZElm0g= zWPIVFSmvXm-5$^odjB|UT)D}+ z=5mw_15*1c+S1Z-Mvna~bS9!o$a4daBQfA|Fn*^J7Y&)KC2gfsBQgK1ar?nsUx<5n zscAxuilZ}?F+uYoxLALj>$$!SRP1)8jBKJ}+%MM6|!Q~Wn8crIsc$Fs~0Fxb)gx!1=@P%UcaioNb$754@?kMiS8Hs~qNf z5c5=M{XU&9O@3#_`S@ba7O59x6Dv5g!S+r1bq3nL{<9uw8!IPJ@0CAJq%)YQqd*wJ^UgBVj_>!&E=SIc#$M(%vq_7xs;K9qr8tYap+>=EdHvi1oVgCCq8Bh+tPrsAxFYYksl7+R^g8hdDX0ekb` ze_~-7^gVv~u-ltJ?0x^<<&aDWF!NkwxaUp5>AZWxRItXu*RM=dj(Nb$Erwe4EDE+> zn19Rf=84SZyIvK0BtWUW=1K0d42%M+B;eT zTEyYYgDoB~+^V-XXpD+SLs@y9>E2`!J#@z}!wz;hzoYEgMML*{4g6~H1;Ai8f3e`J z2lyjn>*6K~I#%iSo=7Z)M>+miWJ~SfnttbLRV^wShxBiCy;}rZW&a3|5S;-PC3iRdjmrp#o)R*wL(tn|(i@}7s zyn|!S9DbkVU@3h}!%g4a#1t}%VOralnQ+DvPwZb3SBj?L^A3BBcljkSPPn>%@tZyB zGQ=6SRnzcZ!j_o~h7vg9v;VeVqcU_HQ{HaaOhX}+iw6vNUhS;6|(29R3NonX>R z!)p&tG4G=k!LQ!#&Cb8Q;l07Yp7e?g{Iy-*b1c6ItVHbR1}k0R`?u7~^*$8TNNIif zWTFTzmkc#(?r{LK*AFxjhN$?gaPw`8O(l?)u={c_dV}U*SZ`kp6@N0#^w74KLDE)m zdCcbkGz;h2b$%McnKu!~<4Ylp^zgNVlN}gca(wVYkA{A+lM)Y2O5kW$3fVT-3x3r| zi!3!$vG!`_)t6}{Kx~Xl{XR&qmrq|t>zi|wdpcT1 zOf6fb6~UNuR59qjxrJs93L2;j7tw#om;l-W$FUj;Attl_$k=jDVkx{mtSEq`g zQ1XlCrwSj)Ba8^Rj%MKE!kngUWGR5|qvzHpZqUoP>5BRXDwc2j&hA_-g`e?nY>Zzz z!JyL-?ZE~FH0{pY=T&LwHOI^*V_pO-TNRA2()Y&{kEhqh zMjFb!&bXFOzg{p)yuN7J1HPy%L`*zOLjv=w9PNF@pv19rNZi2!##JSvqUd$B5)-J= zwJwGTe>-uCv@c}R@;WVkWuQL^;~W&SpxQ>Udc`;%#L9llk6T2e!9s8UFfkW&gg8P3 z)Z*Z{tHqGXVhpOcot`|-ln;z`A8lS`2190S#d0i18jh`=SXXw;g#*b`C8NwFfJQ}A z4%uW}j#RWwVWz?4{p`EybRT?LdF@a|GYNS>_wz_O4f;ghc848F0kiW9(-Ha6IL9E` zmmNld-H%)}wHXs(@FSb>hYLhhD-*L<52QiB&@)d^iwEg~q;F#JQMlhii7@LG4+pZO zKK&4m2Jg%#J)y~DyplZUa`$LD7~HL(bpDJ6skchQeHe`uRr7|X+o-T?*vPe0JQ;3# z#po%g#^BFsMdH393M980m-GxJ!tXS?xu9n>$h|7uX=0m* zc{~1D4vL?I=FP(ES~uf>aVj)B${`wqGQA(Ja^}D~sa0juR2~q{wbs!-Q>!n84#%E4Kvfe9( zKKnSB>p$-$e2?y-4Bua>pQpip<7=}rCJ8XuE9W_MCK|`OZpJvXP~j)B+KHnn0S<=U zo-l_~$2kY3+czC(3rK`x@_afv7h}P_ZNl;3(=cpw ztiQhHKnfT;NIvU&LWe_RKjv=t(C~WEgAI1eiLjyGzSG7e7QPohR?k_#4*!LxIBIW9 z0O{rYj6Ibx@Iuo)E9`t2P9zI&I--{Xf%9pub>UI4?f37s!<7{Dv<{Z*?oWo~YuPQ*k$?^-^0;68tpW$I88d4&Ig1Y$Z`)7-U@e znz#@TH8=S4OUGm2jh<72Dkl}6upgV{=172*7UMYMx3RFtyYqbGB`V6wa-Uz5ONM(t z2&w*g(ID_PEG^52jFR&VU(sjDkU;K=9r+Liw9it19eW~BntEfSM^+oK7nPa>ElMK=HR}f7V!0r z4V(y?j9?12z+1u9?T*CpDp+0{SwunG*QJ9V zQT}j-v3ucjoCp3V(;d#iL5Faw+Q%PX5`ZQ8($^z$Zn)b#wZ+Mu4EC9s|2E6H!&RLP znRCA_&_MUjq3TsKh*S)A9~eCh#!ve#V%k>QX5CCi4flsZd=a0V($OHiV8r$!>p#E; zC!>@2u2Z0DY2z266=!s{F_S)I>WTX!)Dpvuqd@ud{xY}EKG0j1Q`EB21LM@|?kcj= zKzzc_L^9JCY;`ZzEODAcxcgw^6Q@uZ8zpP^COcz@qnC1HlQD|zv>$tDMS-756tU;i zrtmrEdggU~OZ4i|t6qtsfN+6|zRG!9DC>%1SsimjGnGzP`sFYXXI4y(AMt`_7m+~u z4rQ?4YN2v@hyv9YF64Umo1t-sz-2S4COY`sk<_)IfOFBdE+wK0G!K2wDJ*uuP2Z!+ zJsm>f+w}wI$IiRM*4CyAJ9XUf;wkMb-NT^}SfSh4tM3VK?z)eid1H_NJj)x}8>m3j zVmUSS%^%|44+p>nPu%j?BS3yQ22OsLQOW&70G{Xd8MV(n(3NKGd2K2j;t0(v^#6Qe z^Op)@+p;$vdVAwcz)><-TBMc8ta`x*$I{;M5^K!)r8&z&A%ovZyFdlD(-8Mvg4>tR z44(^&5 z{3*b4r0Pz?su`Z)tJu%_%N`|n)u(E1iUG#?mlv|m`oWf{DYbG>TYSOh`RM*YI9%8K zefQ2Ue{k>Wl&qr@(2RSx{fW(FXt!5>_R@?1b7hBy8$P+>k@{m;+aC(ISA2ah&-lU( z$^X`_9B{QAZGG=sL{$AQs3=qWPk07 zhu?5@t8S;m%nvh$e4YITA{Yk3mk!RJ(2Ylf>a7aiKu7cZm-j36;~+?3 z?YMY$G=^l{8P_u;qF#|ujAwf+u!TH4va^YS&L3X}pIG+>aSrx-F(y$EFMj7_r(rzq z(QiI$Czya@Gv7Xx3B`kgUBa|6BLWXu*!_IOlZ>sW*=GdPvOvD^vu@OM2>$wZV6S6G zDB66ytUczO4ViXU!A}IOu+(hNoBN_PT<)JtZC%O+>vMs01rq`?H@#LvE-D6ZysA&= zOoXh73d{B_dMGhndN$%pGIGA(dhWPqBHZ3bvO2&Mh+?C>l+Ab8ll`m`$O=4jF zwXEYaatshz;^OU<3xS1~t0xY8i$|YiPrhf*L*UF$W&WwXG)NkGo^zTt8Z}JE#;>NF z1|I5xKa?t8NRf7#HW3I!-jW_b3wdmQ(e$l>B^VybwG=jrd1Kw5MK zJoQDvU{UdrcnvsMHxRxli3%qAnx77?lF=&b?gynAXOJ>T+vM*=gA0KpOcoS@3U~Y^62tENqagv*{KA|WRNkhQ|(LD8BH9a zp5Zk990E#!zJyCk+U`M7;IC$(3+jVdAI*$_4He_Wb;MOc*&06yV$gOuS_E|v~ z$R3m-9~2~^i=iy%x&9c~_+M#y-CQJ+%;#5_eM!icUn%m?GXb_#HzVa}Bu)zU#Al|G zFh@GIJ6>QtANzlHBskM?a(TEQ%{Lqadd+t5yl225qhohLW+XPpJ-6{yCgHRezk{j~ z4bq*Ntsc!sBCkiCiC9<~TF#yEB0UKOxf$j7#7G7*kKXt2*`JKPr|rx~JtDyM>jt4Q zM-px@-7KeJl7@cdC{#H6OTGCTmmWBI6kp_uOGSDE zKc^{w1lYf++QoFv2?ZVwm>-);Me%dl^2}Bw=&o4`xpl!8mM`3UdD=S#FR*Nhvi+0* zx@xcb9xFLQTc?P5T?_?-xolK~M#3S6R3x-{j|T|&*4}KAC7}}MHO}SpboiYPB6j;+ zp++=(tIre(Tb{W`v=qC;1+Uxcu(I9@UxGB%o#L@#+ulyTKmL&Y)7tijWGIN*)|p~U!Kc5mb?`*%%o&>T&bZ&Ii_WSFZL@!b_1jPiw<6=T2mBgeQ| zC6k3ed@WcHkvjzZurirj^+Fp<$3K}oYzTw?{L_ltJt^3(p?j*YPaYQx2VXU5M8NZ{ zs}h~%5x6VYCCTzuIP9sQ(K$CoBmd3v)jvKY^wJupwp*Fvakt+69C{(}Y2(N8o23L? zs}AmqaDlmfqdJg5Hd5c{&UZSN?Y?VmHkpF$6!Df5BV~zpdd=Y(oWya2j$gCKPV0C4slpt(Z$PW;n*x8zz>YhD$r; zBAQ%0faVviNNWgyg~9N{oDWiQv(;TS+E-WLJRG~H?g0gOwAe)Q52fI?jSkx4rvCWf zNcR_M(FAz)VMX{xZVcwuZe?ZL<%aJCMb4kLio!SV2j&NB?C{3>zw*=|A542+_TBXl z5gphj^`zZMIK)Hz#@ZGKAHVCue2pn=yO*VAwuyv^LKNxnNAb{~-Lv2yK*dR0@9~}k zM5LIGomDs%3>Kam@tL~*c*OefWs+t97;PU}nRg?Bi(By7*6Yy-duH!(UtOQ)t{nqh zp&`KfrLX!wPb&5XRjxR%q~fnu>Fo^#{uus#qs1QgM3@c##o8m2fG@k+pXZE)!j8`Q zSXbW!jDCKBvb{eD%a-=C?BDALXTH6*<4z>t2ps)#^;jB`)%r#5nb|>-U5dD@y&E)$ z9Q#&hlZMZxe==X<@BsW*tj*Uj+2&BCFl%`+4d*LKQsW#3u)UViym2WAti5aGHYldy z3qkV3qm%pL&4WwYX)KXYs9?O&v?m!ySkkA1)%AdN;Z^RZ_4Ut_)#6liOvODOCO<9I zO%dK{q;_}EfxkX*=w*H)z8rrQQFwAcJZ|kdBg*Lwb=iag`8;=we(^W1;h`;>>gqf# z7$E{ZQN5$I(iiu8_TOTaamOPen&B$v83!O2ZGPM*EsgEudJxX!*DjlBs|w>r|(LB9RQ)6Y~ZP*S**S|(3J+FzEkHhx>! z=Bi}na5oMyY5&I1|J7gu8x9NZ`M-A#gy3tR_Ybml!@xVetnHRd zFb*2!o%%az01W@7U=OwsSPlI(H2nYndHekx=F||yOutWj??z0aVUu`{EL_ zx~zMfUMq3;v}Yh1Sq|;EC(FP!(c9fe8J>8DFi4jx_eNh1FQpUfd=$AVanA9VEmUfk zI+#)d@O2&?*wT~GaK>+(KIQ`(Sz>N}qsL%e@Mgu90z(wKT#*@(e*{HZi=V6rc)+G) zBbA5tCRp-nW&hJ#E?6|=yJT-i2Ify5yDo=&;|(c`_+M9?@I>db*u(iyP~wsx2+W4y zcv;(s=z=-6+y{-WK!3=%JeV@?ZG&HC4_qar`+#Q6Q$EYp5cJ_G?Kpasj+VgLqt_iYc$pn!7Zsj?+0 zcl6L7S3Z}j0cWhF75(p%f#rI{Nc1}jCek)m^eQUDu3sHiew)2uL8@qBoLdL}{(J4N zvdo7{77bpZi#FJ}P;a(ZEDddRdoLJ_oq{g{Ob5oTe8G75#=PoO3U-m=mh|>=ptanJ ze2s@Orgg{{*ToaSn{HaKetV=%m{X@Wtk)4Wrn*Yc-64XRuw0C=x*nD^hQ#Rvn?wA$ zm4Y<0NJx8j*Twg5B0lvSrd@1J1aMnhoN(92y~igaZJLS5Wh32|t}TPzGX~yE0x8Jk z<-#dh6b8wh8C+eC?A~ zr=Rtq`&Cc5^=S(1(M~dG9d-b!xQL7VPCNA8xYqH|I1IiR(byFYTya~sJCRv018+Y+ zov*W(3;{2NBRY@iqFpD~{k2pQ`5| z0M@oO*INb27{xl1LB>ZOg8&?>NYO~)m%?C?fdWTOk+(F)B%*TQ+0=py}jZ}80!>!fq zYZhS)Y?3n45hM8G<&fs9m2PwpXChyGIzhqPO-4yp?6FW3Lhl%5A>n~nOKBijQ`?S>S0l+_&XKbh?cx#!?pc#R8u0{^WHbvHc5ub;)S&loPV z>|JbqU1+$Le@MXV@&CCFKHQ2$s*hjYU2%ge%X{Pq8`itbDo5DEbhlU{?OnAXGfX)dai|QWNtA95^APowEIpmAhj$*Yx6M%$|PMF z%Czvs%*f`1K)p10TaiJw43ERE8GYGZQvs;Q)pk$wXa@Y!5URaon1F0WzkZQOp_sfV zYv-Vm4&S@pu&dsR$I#){mq8zCnB6nfJn)DLmss-OjGj(hU#E&@%F$2^y|N`m1(G28 z*pIW_N~)sxQjyN*Lv$GGNM+OJVv$0v>2}D6oo&M#j$t31^-tXn4+5m!+A6 zI!DE8-JV5Ztbp{{q}4=VwHEIG79Ec#z6BHxU5Y~ag~0IA6Vaf4b>F{>+v0FQoG{N~ z7Jw6@r&LfN1Dg2`otlt~$EA)3<6Uz^WSZtw>W-kn={CvX%IG9K)LzD2ZxW7!jfRC3 zp;Rc2srvGDotuBE-DVA4JQ8q1TD@ z%~MV&)tB!fQ5KDsBoC>s^-`B43*yZ_BbSGY!} zdoe#xM9H63iZ=}N!Q|6S8Lyuiv|f_>#3vJn-9K(}KMXws^rHILT(uOed=~TJ@&!81 zgv70|M(4uouDRRthK9gNbCXpfCSjCd#;L^n*|06Z(ez!b56aTKw5B#D-{L}lQ9e%#dZJQrqr4=M=l2!@!C)tkeX2JY@kjCo3Ph9Z`wk! z@b#8M`_hbIbn7SiyIe#_5Dw%Qi}S|EvD-Ghv^9e(&D?wr^49QvmoKx4tqHCrYq8dm z(xCsttH?e3iEy;0^B@-o6*thoAN}|s5e~P^l&bZHf!Wflck(qcI3B9OdH#J8>}DPQ zlKq4Tx2?I;xr)N@KsIyX;p_3hM^U5x+Z_fnw1KWMoiGePD)8!ywG5urKnkm(F3(@Z%Hb}XyRH;eZi|&M3|qyPc6P^gLh8YzC0rD z1qsUOPnY?~P=8nKD#OnYj}ORemG;P-cWDG>mV)(9QxFN^#R!2EA=+X0*1s(T7iihD;~yWV z8Hh%m=t;Zf1+r#LZ;BVKU@~5o*R8=8y7YCY{BQZfMj6#nZ;8{;$Fj57N!1Ai^-Ye3 zy*-7O@Rma^PdJ?Z%Us;MAc>J#-g3Lu{ZX;x)%~**QQ)+4=%26~6&{@1JQr?7#!U}7 z>MwD}0>8hCD)+M%F>mwnc+J9HHy3Y%SCt{s`xQS!p&*DjA84t*$8Eq@| zB0vd~hqR{#K;e&V@oy^}p(-<{J32uJ?q#iBusj6gVET=@|{y08@cq^MRX5kkC0( z{M7w4JW7AWuQ+J|_IdwR%_w?-Q@O*-(0(U4Un~FQk*yQ>{`6nH_|ygNC~Xv;N%Dkp zfdEfHu)n>ve}8!b_x)h^4sKg8`Y~vnRYZVaJ(BN?l-x1-i~hye*CRo5_t}3Qio8(z zP2%ynJ~G}OAc*^0M#1oYfs3`0QLuezuSMlz7(P7GQWtTY4oTL!2jnOeFsz6+-0c^J zk*vDT{io@0N!)gOzknZb+;A;>`<#MB8fG8(wCQj_Q_3m9(+cQaLL-m-{E;*I1&BUE<96FV0MQ#R$-CIXDaYX{7#53mk)6Mmiw`g>k0pY9&hBiZvv5bjpHol2!J+% za?gciFuKsb{EZtEekgk%l=U?Rj`G+nkDU%h$5(O1OmYmc<08dYujssldo(yRE~VGXY6#J7(|vIui+?>x=U=8#ph4P=S^kOz%!khk&wSPe&RT{&my{pe z9kfy0vFrhdS|b*W7tG;vLV```xF?);dvVCO-XA{PRCy|8?Er5c&re_Bbq6}l+E?>% zFqGw$>4Qso(=^FcX0;;hwq2`HJlOXH+;}U zJ(Uh$ZCIs`PT9k+_i=-Dd}MqxH`O_4?gN&h*09jV08808hx2v>?BVNB4mo8Bt42XK zjhE<9e&vdkq=*9?KKaG2%1;B1{Cq0z*6Rm1tHYikn?1ZZHRLm}*&6=E{CnWF(I3<( z92WW>jxg}GQA|488Je9U{%bM~f=y#o8OwB2OfgC+1a}4Oa_zV~SP%uS5BkqJ5F>HN z{s2zhnRu`i%ax}+)P*u3YfF|*9#|F z5X?p1oEQ0F1pEUImH8P2_$KG8(z}HO-&9T=KNC#EB>ZWeCld$0cXx!V)#yR<-HD&- z)iLOJ@!V8(syo!(NqNF=9t*CX`{p*e#p3U8pTmDykRXojw^_z38ZhTZse^e8%2vLM zny?RtoXkdc?Qen5@?XYdm-c8ZajbJ?eHR0tRxjt73RuANq5hT_wg|L}^7`_NaRkIP zmxFIUqk~4i=$C@+!N^Ybke`b-!LtER1dUB&AYpPiku$~wcJ&e-9nWzE`I!rA^;LfG z=v&o)hr5j7(D)WM=2|a6sUu2K-T@FWdcHf$-waM%Yjt1rAwX?Gdd-y=Az-(}{r+;E z8;-~Z@7Yc>$E~uoP(Ar@xMF`M*|RqsZ`?a**s7lZU!JgPR`#1h`O_bxT(`Y&D5cTl zP%Q(l{P)(N`jH_>ZJoE2O0hwG7K8j}lqgWLcVlRB*+S6CtU1l?MF4l*d+ zxw>`m2pRvFbETayPK3IcoBLP`0PN;%H2Eo5eTP0@CN8wver$MU(JDfvQ+)t|!)AeHj>h zoeFanME1@GS=h0?pr_E-3)FaR+uI(8K$w@o0E^pk@LFS;>`)7U7abDq9Q`4n@79>N z*dzl9PSUFPg92e+df8=(10WB*K$VOKx#>zL3HkeDU>!F3cuS)l~9>AR_i+uE1{+ zoDjKD#}+04%AM&~=uE+ocX!K+;BhkOpLe>Ha^4RMH|be+*d#-OMc)mtt#1*wt}rg*MWE&f1t7#P#NnoqDq;ng3!liIpg;KD@FjyOw$)t#4gyLcke+D5D0 z`Dg&VcKCS8!iEHTjf=j6xy^e z86xiQo!5Wt2uY&H=bwMI#2+aM&9*DCU~PSAp=FB|oOZnf3*B3iZ z?}6}#F>xhwfg86+dbMjz`GLpgmA=mzMA*1nHP3jDF3yySw?5wB4U(z+yU#Mnp!^`A zvBAfUn53b^&;HqsNWctk&^P`h=D}Us!HML_j90&egGvkB#G|=(UF}~UCiK#rNmY8h&Y#9^ zc8+hwo#DQIYTev(N8GYI{PCoGFc7PhzGYbifXdufDd(q-*wd3Q+3f2M*O;vJs%{b? zBL9xskK<0bU;Az7p+#HRv8DIkUlIw{AU|!xMpvvF{7_QxF%B-N66y|z`vNxd6p7y> zq1E@^&)H&L(5+>5*jtzg{+6-t2mFY*2AfAjbG+f#@4e>&1c>lw%bd!_fglWJtU8kz z>t210&;<95#195=N?K={cN<0xy;dd`%$l6KduoX$osqOLFUWP#Vd0paP(P- z{P@%pS*JbkzPn-vQwF)$Z>Er;de;`qz${nX)x0R!Pql{fjSJ;s31nasZ!_R3@xsEA zyYn(fEP+-q^>9LE-J3XSw;kaMLGIw{|Bys>jRSBKBv9ab(1N&YNx z17>4)eno#y#N0nA6e4 zvz|DxKb2+CIS5u_;_nnTTR}#h(@kG4Z)`8%Hw+dI1;qrK^(8klRD3X!mw4xm9ZLa9 zy745a+A=EDyF`S;?P6(?8jhY1)AqRId8*7G*c$}YQN~rV@o@M( zPyRaEN5KHOw&}`PJMcNU!F`XOKU`{K?&7haAb*a!R84~+Z1#Qs)aI=h=!srNb|j&e zjfZMBj|RlP*zo3smpcr)TRD_cJTX7b=-J|BKM)|lIAuN%2`BX6@#I<%7VC6$El^GH zQ8RC1^#?<+6#IZh zk8dgeU=W0FY9(%C_~D-h73(iz`fxk;xyN~`C){mg>g}=e!px5NJIG20^}K7cI28)o zVuq>gG43cHp~$CS6b)Ac%U%px)1agA>wHU1B;M4XbKNHG4XO(7xU?$G;d!L}@PsF*(B>uc|;P>u)CuDzF zFpRo!_@%Lk-8GSfqh|w^pH>pk-LJ2VStJ=%H&i}*BIt$N6$=W#5JJ$Brk{Mm&=-I2 zTD$!HCKZQTH@mM^o&amX{Gni;5d3Uin=@7u1BbTfgaz~yLF239;g!B1%-pLuQn;S` ze_L0NS968H+Q`Fm+Vz2WL4kYq#c6NQZvXnYb1nd)4Eh`WzWSjZ_h79dg9TqG&mSvp zBmh}VSn{t|5DL27`ksC{4jRf+`Hp@f!OzK*dETxdWanx*k^Tr?d2oE+Grr_|7 zTNOo;n)v$Bcu)G}K)lu(nkStdh-yh=BDI(R!PMBCwIvedo%$)Io#=y?lM_4NsF3hY z`8)nUXLu+kGV1@_vj4XS0l#;&=x_3-W9rk+%a4w^!l^%Ni7vM&xGSSF zbKjO2h$wseRbeC;_%{@-QOOkid0+FN!(KAHj1XQhJ{JU(w)W;Df+T!Czns&n<_af$ zc(>Ai`$KwY{iQGG{qbPfy}QG{CPhFEFS?m&>$>w2iI8-|a0b(h~QM}V$fYel`LKNzJqyfHZ$ih(^3SN-eO zJx$C0l(%*O1dZ(rI9L#ZG2GI{)P8F)x!$zPHYy0>MgBYV;e#jg-aYZVTG|d@$DgV? z*c<{`OspGv_EPcg+vJ}^-{YWH;1_%AQD4{*`qMW>nubC3B?q@VC&6`3>wHH+54dnE zjk9fgDlYS9)Q|LrLWRaJ2FG0z!p+jSigW20)9cy&A2T6e`UhhW9!6M`U+KAd6o0Dwjtx?En6hHgVhn(w^RLeWIs?yuU8nFB~Lc zO)xJ@d3z`{Kgh}>Y}Lb*`GBm<=gHW;>$F?QsW1r2ND=ehG%lB2&lV$UoMg|8^!|?alIoRtgy?bIM5h__RG1nDXr~ zJ)VqQ6G~-23=>h>0%`?qgYf#ju#;*&JUHiBRh6Ah$Nuq?5r6W+pi|~a6OlI<8#H|0 z&mD+@L#!pcjqmwF+hH%EpLO2&JWghBxIPKY#9ztN?}Wfhhg=E6qXO53s3eEQFS)hP|Z}1=5TE)E-xjLf?>3FQZ^G`m!7z?MMm(w>vee@|up&&ZJOA$PU0^DbtbJ z(*$6qN!~G*@rS47OZ?yzf@z$ttlpFtO0?r2GG$ zLrO?%=-NQYEZ2R1T_Ri!e||m9I|Pp3=o?5ZAcD*J+0kNCQ%DT^^!V{@E2xmyX7Z{D zgg5VgDD952gKHmKRNp=H2APPiZ6g(4FhLKB>L&ed@4?_HHEa)6n2@34ma(= zdh;tcNbhK6VxMz^VbJ_8K@S4O;@m{*H`cJ|{9NeVK>}P_djIo=pDz?H8&?LjQ9!!> zxIx*XKFTjE#B_+uLFSIc2ObGTC{_DjJkXhqPGqB%Ov)O%z8}Q}yx3~lt1G7)$mPdyOz&`S`)ap5l%+dRHJ?Rx79>ci3b0y0#1XQVW;oyh~g?z!@cc=i-(u)LMm@+X5rMc)MveJ508 zvk>Kd;{>rYYuWds{9!tZ^|QW^I4)K<8`3I#;OcDga$hV3-Y|vhKNhjY-l7(+$3HBv zUY_1K&}#;_P6u5)r(+9A2L&?z@d|(~*)F+VAp{;#>IQTp74dB1-bXE8%n_{9@$Gs) z|7hB<&~r`;gBVn%+8{T)@Oku9@(V@qeS4DUD!T*(Zz;@)-gF#!Vn0fma65sdew5gS zNiAGl9MV3_?F#$VN?)vT>x00Z^cyTrXWPPUPiW3589~#BtIe=VgO49fS|(jW(7C)k zDc-;a5AAqjlUYrH6Z4Ntd%g$Z>pvw94xeq{+t#WW{fB;_*vMHZJnf93mm@o~5G%gRB(AWmT_u_AF_MjIPw4QN}SAk^S~hA43_fKh+4b2Ax$WBapz8J{MTp7vlLE( zO(*AMjwid|EbC|aRiYj;zD5RDDZl>zj)Wus)rU30R15gd zmp&%_!yEiv8FDGTtN2_-6OY$20QvRz+^ zg}tYlNq^0-p*FU}Ny!_XOY%3e1XJKsP}5!iv;Z^^?WWpo3&GoY`_Co2g}{k>)jM4w z2)WZXN=__=VXnYXGfTrUyf31YYZ%~;t_LVry_bmCz(ltDCZmfXoo6q+V-PXIWzKu++#x^sLIa>gsaVW!J-KXzN zOwSM1#o$T(%<;#jWIS<7GLmV<393lZJ9kfbB12ca_cL24+Ld_a6TXH4lfG|ieFP&80YeAuUZyD*S|y|Kpsyp*eILA5;hL5RF~r+{pRrViry{}7_f*s_ zBCaG#c!=JS2Or1mPV>Jhxch`r$+H?w+$883Ytmr@q3P;|0UBwzxk+~DHZuwPUl2cD z_Va;xts1xK@H8y!WvH>8Gee&a_75F~0T2>9CT&@phUQyOn)m#PM;*-@0)B55kpHW2 zd!0i(TG>8)Kl6x)bu-U*9jp$8kjE?EIv=DV_nyCkzkXR`>^qS+F$Y3n@3)H<4i0I! ziKXb-(r6sIcekHqxg7|uY+TEi&m`d1p6e}|#P#E$sH~9w#=_0%9XzoCX&7Z`emrN3 zBYOW4+TY$91=guW(^R)q^l06qJtZ243A1PY+l=U-*7DXs;YvKFSDv>Yh#;b9ocpm| zdlSIjV=q@*W(scc1<@H{cPy>A%L3;ZP9Ncf9va zc+9{dFVOFZ|GOLC#>=DXGRSW;Ks@B zozCxEVDHW?^g2Zi)L?V>aQYO$iaVG)d|_<#$1` zRXNX(`$9qIF4IUF!5F-^e9W4A=L%6GK?zg((Rlkr*-x&I6woS7IFA(sFq)-mlwT*~ zSzgoGzDuESHzjhbb%-f6_p}YaJY^0&5;4#9T>@d89{(Qm>8Rf_s@v-k1-jCeiYZ#^x-GKm*4RCLXe&+~re|Q$vBoBeahQDu` zSrc$({KcfIyB@qOHm%-6H-Q4hqVio3k2YSb607QD_|IVFZ4wgkP-#`PrhYQ;4SJGQ z#$&ME_T)qBY-iNt{XJU|N{2Z=^{QwiI;t!QQ?@4spw_at&$p6H^wy4R8jErP-i;o~ zkLu&`w)xVPr*poj>_WcXfH;2^ih% zd}dfR3SOKz6K}4?Ku*%wJJlo6Sg{}!ckxUruwm2K=E)F@yX86qj6{5%rM)+c)dRST zwun2f&xszdwx76pB0AT8Pu1$B;SOc%lSWbzIB_e%rQp9r{KkHHx2B8>{;U$b{@#m@ z#zenAcKy+qsU;|N&OQ@`lxO^Jk80zwt(%MdHS>V5vY100Ek&`$f6NDXa=~|Rj@*hu z9=!dsvpO%N3_oTzjaKi^f`dLRj6}6Oh-&{Puk*4D9V5uU7@=vfw92yhCLj-ZYSc9L zahBtMb$9Q-_DTlNCMkBcZ+T#zB*IG;Ek}-VpT^bZ1ekhs{=u`{GhlG;1kIMK6t5;c zDND*>fF*1hxP2xEy8N#R20c56Npr%^J2+y1q?JQ4%gF#y-SZqhP>AmurD>mqBVpf@ z;r2HT$uMWkd->k>Tx=cq?#*c*4zJe!ZF%`L9)u{rr*34Y;IjwTY%Y&!pmlH5Wb6tZ zmQ$R|>n-WXCm~Iat_%m$Ehy7F8VO50_3ta=$>{!8j7fP%1a$9BU@;DhfW~+h(Uzxo`I8vDB*_smxhtiJcTN@Z++{MjDjC1`#>^E&vi!}<;A8oHoykUfIj1Qf; zbH*Fa{;)pE9vKNG0{^{SQ#Zp0yyx_vk?djKNaN;Las>Pxd(OwXXogXy_Y$uDX9-7Z z$6VcJXfWWObKx|@6z8wkhs|}EgCCcXRN;OqT(KVGX)iWJp)j7=>`Zgu5+6-^s2B?W z4yRD>cIhB16r38MS%81pP{c-eG92SkP0QEQ#0jPcUjsH-K{xSA-wtsSgxB=sIGv_yXN-rOH+a) zu+bM($+vZMF6-iGn6HZF9S2CrkNrZMC&2M|ho^A~1}Ld~?7^i4N6_xlOOIM5fZxyy z>aPFHu%tuc^=OnMl(WmV8$2L@#Nl7*a%5{PO5c}hcg+E|&y|aFG83SPR2tNM-3|}* zT%VF^Ti?H&{24<>Z`kYeZFFYU0jKsEThL`3Vc>D_{R~{nR48Qzz?|gR1Wv7 zdpBuK(b1&e5h%miv|`Z!_=m~+Zu6L-sKjG9x#j>RO7xi_3Ja z_F(HQV85p^7_=_mVdvdwh8EvtQw4bKK#e-{cjQqB*t$iRPOO^XT2IDoLWK=@ZOvAF z{fY=ocP9Qv(Rs#G`M+^oq!3wANEA_$5Q^lov-g(0$=>^%WADB9C@VBXC|6QsXGf)l zhSHLf{QS@V>3MKo_kDe@@8|P=Ke|tS|D%B)6&{WLzGec5I}>8-Gk7>X9*gSQ|=c;SYuF)w(?g4=7={LyE`!N+aNJX3<~q z4g-H-o5-!6OUUDAaFG9>5$Ifb=-+ZY9AstFZhkwUiP?r(-OW*^pmANCnJ3Sz(?);ND~W zcJPAfvDM~-80ek2_Jm>F3f%|Ib~S67fxJxipOA;q@Y$W8p82RL?$tZ;JF`s>v~3>? zogEH>hJsPMa!WldggOOqmSPlj=ywHDJ`BEVN~f^Ph1n^A^fJFs(1gmbR@@6gDG*CN++gAp3k|h_;=#18IAE^QYZ;XY!_M|`OQ+*O#Y*>i z=Nms{v!>HDJsA%cPp%ApHjRPyj=N0etAWUwlRqZI84K=7*5Z`pc~TrRyk#LBfPY>N zO|yLb2@7jzH7AvmW{f&x-*Ke)m2)})RmhM%d`m#GlQJCay62sut zF*V8U1wx$L*2JgNX5dv3ny+)s4o~+mL>->@h37^?*^Cy3 zkgrA+udif`!qThnDAcaNecl6qkMmnX!1CIiQzulgWyIBEPnI355h#xA7qWxGrN5k` zM!Xol)jv^AelCWBktZ_>B)oAt(!!qoB&MCrAM`6E`#{h|qx)g0cq^OztRlS(?0h|N z=hZ+cR>DiQi|(2DIY?r!Qm!f3x&~(7C(q--5W}p-#Z2V%OL$s((GmPOJV(XKW6+52 zzM!*EJbn!hBW#`V#T2Xz(d?rF3~p*Hcq;a^WXKw*MFY&C@c6vpVy}8@%^#T6Zif0I#Vc? z3GH+~T?m4IYB%$g?h&EraSH8?%t*8}qsDZhp6>JwEu`m?t^u z1BW^Ow%Pn6bNSVMRC1>cvGc=_xT$9l+|csq3=EG3uji|(db-g#{8PPeOPl}-L1EUC zp&^hkDQg+?BOEv0QruS+BSK@J2Z`dJ4+Qwy>{gx)#Ps40uGuOgJQ|Kl$TIu?_n>~R zJ{xz#8~4S+KN}KZ;ho;GQ93vH5)Y*+cP`_(us_p+ccP)MINb4rkPZBiY3HvvrH>{` zcc(m`M}UasfNYwP0f_UzzAm(=iifxgbN{S`z&ZUJHm$cs;cfwgl?|IBHq*)Y6XJtl zK77t9j7k$9jLGm?@GGIOZ}Wo1U;wOHYi?z8v1uz#5L?k)Zx;4oK8etE|c`Ny1%XG#rWti)nu7ZsUrlAR+sd!6xT-3mX&qp7_NYw!zBjq;4tj-S)*BlSm+HG@nhX(2z~h< zPF|FcMrx$l`}uhs=uf#H8_(3h-k6i}Re2<&|IRG4^f&=}f4RhPMfu>=*d4oZe^2CZ zd>j0zn+Q&i%)ZbDn8L0w{^SGXbK_~d^al@8`#&(eUsm~ffdglD*iSlZAjdpQxSQeVq0ct%1@k6*xf9eWs^t-Ykloq(@4H9x3k zsDRSe{JGsbAz(IpstG1T(blnGSxtr;-v&3*`!5B3#fg}HLtOXchj3hVswYS~_(5O#MC7A!5+3Rz{@nAx4`q&g z@z`4)0AGvRnYNY4-omLn9Wq743o@G5uRQkwfm-nvkE>*oT{%K=;isnHC$~mMSxok!=m_~AAL1d3X2o+r zARcG9PCw7r2}j*2BG(#!0_a{o*JA%Q0eMoXsq=4yV{W@UTl+S-H$KQ~*cT=upS;w= zf3FFs>hu0G?TROe$aB*w(InvOU-e64>Jg|py`Xk_#t-vf?dPHod4C3hR^Z`PxlLP8`%mVJl&}{_)uwkm zB=bM*nENtMnk8)Sduu>D>jepHJ;QTXox$$`WxCS58vOAiCYNgXfcC=&xkD9~VYtd` z;u(hqY_fZW<}G>yTU@m5#|kOvTj>+MmP6*z&9s3=11}Ks=chTFn*?>t>EJNC1W{#0`a01O1aarpHo z!_k&Z4_}Z+7S@-lFZ|Affn3Rlo~}4BxOer`LGr%5J@JwIVMPd>mS{~q6;6bWU(Z)Y zyFzeqtfA@FW;ks0?`vH?84AkmT92|7{ZU~=*S14A3MT!^-^!Tz!#az>aub-0&W+T#c3L|q@QaM=4q zSzP*o6MT~_J?C)C5I0sRt2EyPfxh@XMZ%CJoM69sM zRJyOrfCw9|sPp91`nh!bDHh$wS@sWYOaLhAfW5>EKg+fL$B>e_qioqz-#kgKy14|oC#e% zp)eDGQ4ufq$UgG|@3icQBXXWF5p1abJ2CEFQh_qK^NMrqSM6g5K){$ zw2)ps8VvW|`KrTVjLh#A;~!s*#TVE0N}i<<;e1Bte2TdnN(J&LH4);m;w3_s=@Cc525RPbB~1e;Ci5%^!8~d zn7_nZ{`gb?_ByvonBO7u#b9{jUiPzCY7(?0#({FP-7fNN1qYSEGXVy z3=IU*m!i`W%@)8d>AO|Psg1EluB$G)g5mTNb9w&`b4WkXpSRq45v`e)z6I0_RC&DhXQeIS}O!-d@sO+_bik5p{mr_lP)zJbCwLkVN*Fh|tcG>lPs1 zY`1;CT^-tW9DQ$lcmQ)&h=AWgL$K^(-+c4g1hf<$TQ+Vx!{~h{j*>4*kZ{N3xMa5t zUK>qN_f)=&m-H_4&654l@SMoH|Fi*KPUeqU?G3>8tEzla$6aL7_PblUGu+q`u;fFI`uUdER)f4@NsE} zz8#k8B?uk3 z)_cyl#N7|d+-{0Jp;NNjbLtr|SLr(%%C4Gq_8@_ly>FfjMT}0HH&0qMbodkP# zZT*oi@A4l^b^7{uT{&N=zPQuN}dR^~aMFxenNQq~wv=sUSEOpz(q=&Kul)C!d`% zFu{*Ehu)~OxR_Wkj;AibY!&+x=HoM4;Gue z@>dgMu^@1;*|;(mW`2g;+NcOaF)q^H-*@7%Cs&wmdv7o_6}-9Gc{>U}dA6MwsY$@2 zpNL(XMOwfV6e$oaXv zK9nUsU09Y3L`u$7;p=>vC~$j#S4YqRZi-PpEq+}IN|iK|R%Z;cCY?AQ`IdlI!a)S9 z_$pX%wY}-N&jk1I+4DDiCZM(S%cG?gRZzLJePZFLIkvRCD9I z91*mFu8?!~7hBDt^e)jh#5D$T;(iJ z&YtCj4@@6QiSR1%0FLcCRiPq1TqX5|SNZrtkt_2dn-5m-+G*+D_Pikq_V>tYR{6pt z$Lr3hIayHFQ?1^6-Ug}ig`7j9eBt2v<)-(a3n8(e>BJQyClC>gF#cHLh+;AeK?3i~ z;P?C6lwZD^K>XdkV5%R0r|vo`(Dhb=2T9h$|M~^|I&?0p$tD6ff|a}S)pJ3e^{xE! zL1(xqu@hRYrj6gPmUb>NSHZA@Q)B784!&(3jgECAAk)~zC#_1ApmO)L&0!fMG^cAV z4{D7-leczr17=n5Gp8mYmdXfEXe6Y}9U!1s>GLYRONsFI=8p2g*G4%1wN8_F-W{Gf zZv{P4A;6FBM454K2Yf_L^;>${7sCJ88dY!xK)qP-;c^Ri{8seKyL{FkjtVshiU>Ku zIAzA;r$b)&Izhq}d|FX%(w`qzc5 z&u-Yzm3XP%w+!^{X3p)76{fBjIyPQ;x&=-;3GDAAg-hG zrZKG&%uMcuyxb*$(+Si6$|fVQRZQ{dC!Z2PS*-*{4hg*1*cBl(8Gs@K|L7csD_}cs zRyj}S0*+|aG=H)S#p9-Td{qL8aIwdeZG<8iXKT;$K2-|@2BWhD8JvM|>Pc(!&B<`I za#WaSOA3L`!L_q((N0ic>oYk<_7nY26!qFiLZPwgC?2ZU2i+JrsYLL6D^TsQ<&6&M1Rmi_WKKSEqqN1c4AR8{Wk48%;#Kk{Tactto zzhPI@WYkjeLF>*EeP1;Eb&^VYdD0kNGm<{C9!|#vzA!IeHUjhzQUcqXtk59#cci6X z2EO{#F(o%04Z6?1&M9Qr;BugU*6GMhJSv}*9Qh*(&Na2~+9%yWy-(?M3$gy$l5t;qExpB$MSLk^-80 zKRt-Q=?HsgYIy5~q|;nJC@C%#%BPTzPmdjZBNk5rHzB!jwqHI-6ps96_&Xmpua#?>TpENmYXP2lww~D%NCNh=M|RiGUjh130&87k7`ADN;%*Q{MJ0kRKqlOZ zQkga0M+7Oh8obXWhPN^l@BKFs4~AE#`kz^c!Q`t~|J^5hkNe}0q;p!SAj~piNq>O| z-d#;?7WR5@tfFY--w8t;u8%)n6`X>G+4+AMR*5iWF<|(+;R+6qY?so~WZ{_URYHR$ z3F<-o%bm4AEPJ=PN5di)dx{j4qY7f+b!3d0)^aFbU@)F+f18h$7R;q~>alRXpuvQc z7lyvVw%p^#3vnlhM=YW^79LN%->Rz*LO5LPE4omK$_s}d$L)`U14r2#0}CA?Ej?@# zv;DB=y=h>La}>yvo)fve{eb(h>*8KfX>@5ycy@y$6m|}Ixkt@LLm%Y_ktQ;ac4%Jx zC}`#jNi$!bmC5Ua?6Kjm^piwfWZq&XZW7>VkkacTMwvikaoDOY1?Bkk*|Y2I-LY5@liYBWuC~Y#2np9nS@OA2OR8$V}NnaAYb@V5PoVh_&r;f zj?(%z$NPF>plF}z3j>>QY>9j7*-e>^9@|>66nU`_-DsUpB^iNd?o_wX&g7sK<@xoW zC*$BsdqgSAt59s)N!V4+l!tAm+uuz2;~~6(w7eef0@G*dMl3fS@h?MypminzI#m+Y zRd)P9%S)+i%GCkXX8H-q0TIwTKo#LI9}Rm;k1ic834>VW=T=T10$^*U312iA05v^T z;s=RvEb=|Bet(Gwf-5ekjN3DyQIG!Rv_%&1ttoN-x~U1Q*8;b!EDNxlxy5;4X1*Si94~VolLcq?{6`9~fc;I$dK&09SipGdSV+2C`D=t3Jl!)7nC<>-S8 zzzJGEWRZ^IX4~frH?Dr)zVwF#*|8E-1S2B2T;}ujj0lIQ1>NU76$vodl^mxS9tE~N zIeV|$h(S(c&cWN7mms}Vf^Xp}392cQf^INmf<%_ zbCbW;^R-MEmU*t{av~HKy+^k@L{mV9R`GDd`y6;G$tCdmxhK4pWTln<90&6fr{dXp z?O<>A#sy9RFAT}lZlG-R#&drTv#sptfS>WPU+ETcP$aQYIu#d;!*zwr^$ohXXJazW z4dY=rYt<>ZF#-cCm}eyqx}rc*!<6!;1nAB;(e9{^#@{9 zk3Z?V8V6Z+MKL1hN$^NU6uicQVBY8CV+HwCP@Y{$EmI{xul9(GSBfc)IZDRGB$7E* z`_1PJ%UFmpZ&EN3F9*HHb%fZl3%EXt%hxBO@P+W^EM;Rk2v)x~P$`i^jc-?abF`yz zHJs&|a(6jw^3A*y(~-t#{xs{d{ZXjVrTv|Ey$C4!*wz?yEg`nkKwIlTAZix>eW^ZH z2DwM`f3oiphR0V~>#7yQu=FtX*c*v#xbxbnI@!_||ISTo)I~+3G;64ds6#H)*Garn z{bYuR^??nSq6__jRwToc)*pL=KHr!^?*F-ZiDW=3EHw zq`X-T5zPWO_c+UQ4%TSA-tPSGcPRQ2(;rI6<$&U&NvF3X9Ps|hyq2m!5T5#);eG8( z7BId~34gg326q+==@{A_@F(q;ziG=UuxCipuGB{Z&lnT-rvNoT%D)ivJ9p8MEa7swFb0QR#JgpMey^76?2rLk6`kO2*JCUc{K26)*9s}CeF8@(R7$KF1;`iS@k$Ctu zyRsK^25f3y@YesR1pS3QujZ)ba37Ln$?_o8DG8Pwh^QyVE)z>=dMdhpm8q6U?R&B zU&N0ZKxGsv>2dIAk0--{;m-@Nv?E~4DPW*C%>i|;->R*gNrAgR+LHZm#DV8dn|zO- zIX<`EK2^q00A3~HAD!yX!r8TlA{1sJ$gv&Qe&IqoaB)@9@h{urlOIfDYKZ!km)2iffWU;-Ax5T{<_Cu8kvA^zJ`yU$b@&d z)>+~w&Lcr_fTQsUnOpARnOxIA@OC)ho$;Fp)`>@g(y|D!l74-salsdsM)sOcZC=51 zFTNb#AQ529< z1}W=fH66EuLDYh&hnr8Y^;sX#_%Zi=fi0D8DDKQ z>JkM@5W*;N#0lTfER6KpM?+m`=BtLoq40k7%71J}$vvX{iKfdV8q!U5#}74y0d<$v z0)4a#HtW9IR8NZryEs?BgGv!l$JY_33e!R={563t_&~dfF70&+6g(MG$@`fF54vxAP(M43fugg6A-5Bt zM%BT%#VG*_&R8b(d@w3A-dsnMOKu zfZ5?J*ZUfP+s>`kSKp_Dl8LDG!;k_{tNBKb5Dyr#aEc<_Ai`f3`*Jq&{l0$Tok4kX z1UO3;3w~-z0x|P~sGNX&I2IL7b@E*xB#&6d%TO6W*;)J1WQim=Jvr23tQHHant{Bg zpZwsZQEbeJVJ0}gX@9dznF##%FLVD8jDd(Thp`*QDWI*Q^~u>qAHx?$E0^yPL2@_s zn`JV${Sftgpkri>@5kC@(khdo_gSh&-gq8_1Vvo>dR++$*91#GJd1_aoBHeZO_|W} zq=5D&n;O30vCLx9On|8TdldeaIba%pT{~6f7>d7g=*Q>`C~;_!n*E#)Z05J@FUMNJ za&5(HdCMpWnq4}x7D?t#i%a*jUxmTIdphpN)Bez*T%~(9BMgeDjiq)c5+Li3u+ZuG z42U3#{#fx&1>zQ4klLgigh#Tt8GcLwW81K}6PMFqX;<8@4nAnH4v8B9P4Nri@J@af5qS&U-i+x$_?6$L&pmya-9z z#5rd?R!vC%waXs4Ec)d2n_}RH(|u9>lYuB=bizc&-47p8;7#VmSm4O_q`Rm@<^kQb zGeHp_<>(HEwy3@jLSH6_k{7Dscy9eT_o>5S_*(a=fCqOxIP9KHG<%W>O7h8WgJ+Up zTCC!Cy@WdQc6}8wpihQ&p+S2dOML*5^__7tA54X1v2rZMLyNN4X!j>3bbj^cFW-ni zHu*+fFT+&mR=(SiH}3{~&*~kcZ@Qv-wo^)|T{=9Y-nE$B90i8k{`wYw?67>2KEbjm z6GUC8tz=%4K)xWsBv#EFr~m3WRh@GM{hy2DH^RyPQ6Vv>uMizyqL{>Gp2 z|0s{+uk1VcbnIZRTw=gBG#g-3eA>x620SigetH;Zg<*W(M?c7?0n4Fk(X*ln!1m1O zGBH068mYgWXZ~0Smy9+QO5R04_b-=7=9MrYF=}_IROErR(_X3js{}YN(kk89oC4|$ zxtZ@8i^2KlmmCAmAfP^MR(kacnRg%E|G42<47c(;sO}ef!hWN_7mu#S0-wBT#5v^x z7|&kpkq*&-7WoqrnJFa56Z-GT!PmJUaQ=F%t@a9Z7oorQFx;oPED3#v$Nd$vqbMw1T#KV10Nr$K5E*Rjjx?U6(4|X?ytXhdBLH_W| zznu^Kkt)9`w(OiYLU5ZlhwcC0SKn%vR6A#x z0(W}rj*9h1pul&-@kj3iKuoZLw^Kb8;?JC%VWJ}7%!8Z9d!M;L=85|}1sBucqs5%7mY6K|FZ6c8De1E{xuV~bP%j?Z62hK#($N| z`Mi(4ac-Js-byVUI{CuGL{!i-6gpEZhTT_swCsk`f&24u^Xvf^ zlvTfUDEns+l(-q`o~KLzW^K7GJ!)S(QKnV;^B@7(AH}urT2F%V#nY6#;|OT3t+-lf zmI?Ovt&gp_B!T^p#1?(81YEnqcYQL22>ZMw8dpDg$>G z;ufy*CqsB=ik;IX67U&j^ofO}p#IWpx4E;vaGPq8H$^-aJd;estDYuePHp>Z-g`kX zNu!cCTon(+S-SBLKgVIC&3{LM%drXx zkn->Hg??%x66VHvo+ZS>>FCA3H*@3R{O!uYia$}PsrD+Nc0QIo-?IkBn{mL>DNjjc^6GmuL<)pm)m)3m8&dM7 z_3xv>zv`r|lU@`|zTQ{)@J1{$HR{Ef?2ZGUqV%(>1QMtn)3Dy8iotyx_w>J+C&9e^ z%;11TEX3ACl%+}&F_hW!PzO&ktauNJ+U}2qwp&`3G9!`rlyc@!&fO$^ET)l1JO%Baj+|j5VgG=|VCg<>~HUdMc5Se2D$xW>66RboqBq#We#2 zhg!>y`Vim=Pii-XO%Q&TW)S8h`-FmD>PCSu5qNfYdF*}`h&$iRbADevn*vs>Cetsud?8dW$lre? z8l$}B+I>zIfVE>*^sZC|cyR5{H2X;xl(}n;0r+Q2#=aTv#xlpWlq}hh9pRNRwp{0xBQN2h6Q0TW=y&1N}OVvtD zw54V67W}&18lqu-O73_PwI4WA5|&%LD&ZxSmBap}P;jo1YiXJc2jZb#y8fHx&@#Ps zQ#9Nkg8b=pQjR5}R{USz#;ro=>^%}z$3uXxVHEblGKrYy!(D!ZBL|RHP3OG=nOD~e zxTB+@QSJBVe;iEJpzTO$+0hh0?psHy*I9AMZ0)o}MO6V#rvIuxpAUf*=S>4SfnYp2 z{`>XQ#u~Uc_QBt2-UqfPKeXS_)4|9;t4UFO)j)MUF#NiYE39STxcvKMCUSlX?5ndb zf$PgL2Mn(SL$UCZ_usfoWa|oE8g|Qpm-d#E=b|H_(EiUxvs@z9q-BQk#@E27@7~g4 z*Brp3XWK%jG!0v3&HuV3R)KxTkMRc_KG5)cji|jq!i2q*tbae&fWw@$QR;{}NPV~v z!gMMStqJNTbsDvhaXUOotX=`09hDz7$;-xvG$wcN)fd6Qhj067?EFE=CTVt8SvJZF zyo^lf%!G(XlnS4%!yx75yh+Z56lDDB0AboSaIsJCnTwGLq}Rw%^6F;cZLtmabN*E@ z*Xe&!pW78yHGv}$3t<=dO*^-6ea`3d#@_zWC*QN8D`X9?KO zOeV$uvj-=S^78e%bd1)Zeii#S7w#8Jh%rdpLtyoI2tQjK5_Nr4)rM-|%>dK>10O#0 z(C}^>s%NL-%A+e^(ip3O>45k-D>HL24|8kZd=-g35$q{@kJW;`D4p_)5jDIJFSh2p z=!={J@fSBtY9Y7mwyjZ=B`VwB%`;m~MyWRMadzDbP*hooZEaM86ZA(GZkfd6-D`&@ z^O;M)^{3PeN`?zi?DsnCUrP*X3=23Zy{UoJtD6UN;RrMqEcZ_SPQ>zCZ52oVRfExx zu{rk-6$th@8M{&yj_#i~teZ~PLjH0}>sMa`RJ!$NlR450lPMOOgv@K<(ulFnYd$B8 z__zPj@%}h8d}xi=R;u9Gm4h2I#&Y2966(F+co#oI z#AkNG`F(<^J~-~xa3)J55*Dex2Fa%sgT%!9 z`8!-r@NKGIh9)Wkx+b{?xMedzk@kAjTCfq)CvP=3j)udnwDPdU6FG3Qy5G-9Mic7; z{;MR!M1b;<0bRGj0_cu9Ae!`B5B|L^ICW<*9H@rq|3wx^#1f4E_)BSS0SmskW>KYDh_mfe|{b%408WFnB)sf zDTTu>$8%w}M}jSxTO0p-p*j2Ft~1)+Fj4(iUj>&gsXAr#>m!Ah#ecW&`+_Dj^;$=7 zCR`Vt_>}5tgwgSS+qXlmK!bdKtJrilEW~D}OH3G|6%EV4#YA0559M!iBo)I?6Pkd| z7GqqSy7m5`uMXhsE zEI+zJzcioo+>TM;CnP@exyq($2wX1|Ia!Pfpk>X|%}3S>l{L-1tjwHHKR2KunZ6bz zeiZ61rMlytMV@>sdTY>NN)z;~%!c;dNJe_n3H;E(v-=a95!{kLp)nGh2bM!$Gdy(- zaOm5kD>I|}@QTaMWV;i&@A{cue$~B#NnNJBUXPW4E$-gi%*G-pT%RqQe&~p)4bRFy zKQKn0$FGtvS=EC7ezKy)_@HKEdeHYH`Vd?Fd|0nHA1)E6<3Bw!M@#<7eDgp}*e9&W zx3y6Pi`F&TAL@KDH%4T&hD`@LE!0DLeUan9*e)>h4Pe`j@;iFV2`_*V_=&*X&`Clhr1s5t0f^a!Oxb%b8)< zXSztWZ-KzUE_{dSQaYSHt-q!?WQ0$z%`oTI`GD<_(ys5`nJ{{DRKw0d4Xc;&*daAX zDDtd+r{tOie-cmF4btuh-Q}cRJ{O2EC83n&9}bVXMwhanV)mNKa`pLGtQi_M{f&~ zlkb;IILL8fJMmjE*z6b`d3S__;U*1l1KZr8&R(KUS3ezYTnv6}M;n7ouCMof{1^wq zgb;;8#B^xQ_Icr?8iS!!v3knoB#>NbAyR!xhpWz)hs)oQP|2_RQDs;poW1NRnfIK$ zN6|gV7!ZuCKQ{e~CK4b@P2Q=sG6i%_9DAp7hlJO>hhkOE1;P;L%(1)G=}^XHC^F(s zLLsh`Cuv-LAg5x0-P=AL2=~f=Y4ZePVzc$mxyCfe3gi&%oJfKSAEBu0%K;#kQp;Ou zR1B=_ql|w%$sY0PhQ^@dUCYJ%Rv71h|AQbGClienE5y7=aN$o3T88q){$glVo1#e~V zhVdWw!>K3o1!s+NAUDcR&NYVKUjg@T#Su{i}ukGE-sD&)G#<$mx2H3t!kZhYGl)ApEh1B^*@)A3Ecs*JiV!RbZdjMwc!42WJ-Fe>BoF-DAU@x0wYt zZPIM!zJA~{5nRyPp^rsVLHU+tSwMB5PkG<@AgEL+IYtp-3%co|2fYPrVaSGW<)eHc zehOhwlsjz=i?!#&y5ow$dG=u+?>k2%+=$(%%e;V>Y^#&P$j>P?W5set+#fHJ4uG(f z2ku+=Jfy8x3oqgVt=lraQ99J@YE!-mTs%9ke=;Nwc5fZXU`rQ8KL$&W6*?n`AW4mX zAIbrXIeT_>dQ0FDJsQ^jQXfb&$8}D%X9JOMVl1=S2jZ7SRzHbIfidf`Go8e2;C!F* z$BKOKex?uf6xG|pwqmC^3n?EIeZH~Z_EyEgjOFSp^nt)2MWq0oDLZ?=VO5SmJqFf=HVInegJ;8KenP8s=smWv6(iX&E!^yO=T zQdnU=det7g&U2>Q-`2-8)hF*LbhE+bL6#-aAqZG9|J+*rBM;|1EP}LbbD*5iy?e3B zA9y_?TjbvBLXV%-ey^Jaz|~n|C%E7ac}`MNqR&m>c)XJR+KXHmx1+lo^~o0+&CWSd z<-39~u#}`w*tc)h^NMMKHpG#^QmB4{aXAoN7?_ zn$UYjV1Y}TL5#%Q~!5Qvw@Q2LEl|p4uZ|9_k6XtPSo=8fq~hNgtu{|QZ(?`mb$A&lxT^z4VzU z6+j=uGs+PiHRR0m_Kl=*hqn@G?>;-{!NBg=`0!z4V7N=s=ostm+M`pNw18u0#FpbtFTT1{h!55n)yG$i@R=R5xHsrC$`17<(2 zJ)lrv4W;r;?%7nipmEDh!2Y5ia1L-j{xRSP#*?>c)jbNKSh=|*S=|l3|9zPvv&R)? zR$5M5GUdTInl?K7 zSO~@!7jKFGAn!SMu<-0*U15A!&U#UC${y~K-0sSj)j;j{?0^tWe~ggk9%J+OgyW=$ z2Z{=1u)_8?gK*dhuWNCq$+4?o7q^J(eY0BF#V*;n80LpvCrh79kU1;o(^O}UaV-#d z;)Xr4JTdP_QYGbWPv{8nbc_lw1R?6Uw((U(RH#!Z{rSxYeg%)pv;510`y5ZwEbPo+ zrq@WVV8a(G^h^&WAIgP^>uh`{OTFN}`kF_^ePZK|OwyJ{|QUVQh!>a8!pm&+9?Ql60er1*an zop(G{j~mCMg$gAUvR8<#jLKuAvPnd;_jd1fuW^lQud>G_s}dPWQobrZ5($-r7Amuh zNU130cYlAK*XzE{>)d;v^L)nppL1OHs}@1urMY_jDR;PivUbD&pF2Lhe#-kfH6Mi9 zZ;tuL27-N2_|~FM0(@~57`rx522b?$e|k^&V8GeUL6$mJuzkL-edm{QFxXI5==0YK zs2*paAo7}sK*%{Bt^a38xN$!~%Y35oR{t`*SMBD;l0AOIhW zseaMiM}jx~dkrc$3!u{6Q=(GsBpgsRpd}|zV1BauAGdrSr1S3V8nE(!v4L_4b5#oL z<*M(F>&^kDzo~8xZbVqP5%skBAPGVjYM%>f-J*?6M7Ua9{)bK98)esvC^?Mp zbz$QR)NOXg3)Q=sO=!V#_-On;0*T(fYx5<@el^J%8fpinliRdjaS}kYw|L=u#%0*y zlV$TxLLXnz6atQKCWChCbZgy@OYpH^@y7TmW3b>C8Pwen0Q=OUb4L2|;rf@VH&XU4 zSbakJ>r!kK9O=`p)c%$Q31Fp}mu3U>vBzoTaaS<7X!cvdu?TYeSC*YEyivTXck!2f z06dBcp&Le*!D8l&vs|ki)+N^x>kdYOaM-CBQ~qpFnzfnR>*E1j{ndr@TO;7h8K?6* z`Lp1w9e?`iI|LBu2)LTs8wwg*b5a7$vtZk;lUFxfB0>uDk1j4gG7L%^Zv7gR4Ox%> zQSK=a;ql)W#xpa4V1CUW4IWd_BwbY z98CYQ3Fy2`gTk8i^FsQj_+FvtaT*^99!6N2-d-yKzk{bf|4};)SF(-_kt2d&6C07V z$Eq02$|T>9j#)rq&^PY4&!VBadZXx@3nehRT;wRdb{zOF>~MS#6b8J~PY2gSO5x6^ zyWra^Cb0T%%JWWo3|PeetQ*==3Vr?7A7{jkFj}(m#GHRDqNX?5)1~Ny=E4jJxg5Rk;8|z9*z(};olP{DtsIFrC!~U8e*M-e@)@Y__IKSh z=>|t9Tz0b)a^S(0^R)TR-snY7QjIkr!pOZ#n{|#Bz}fM90=JGAW=6?ujL44$-RhMz z`-wF0+lg;`X8hpJCZNtbM1a%7JLwWf&coQp#yDLF0{(};e#f06!Ky@wg=|$ORL#(w z92C9aQN@eBUfKkR`S8(ZLT{bHYK2zAlqcdJ!5cUtXonI$^e_ zM@|PT5e{oPa8(ZF!tJWJOOcvRF#7M>;|C-+kR*S}%H^Pg!j#43_SXHdz<&AEBVlLQ zV%y7G=EUG!v#v8DuSGGlyD`>3Ap|z3zsP)P84IMPphj694}8o;b2lXf!)5Wk7Pk$G z;86Z~nFG%(;gLUYnG~}>)Kz`>(%w}FYo5RD>%W-5lGP>(O(-4`{8^<`c?w~uUOnOa zkP2|!QSjR(5DAZOgzoWW_#XX3^~?ApX25q>vvSZq8DdvSCpNz;fFplTel)5w!u|Vc zneCsGKzZuHkvJk9gx`BbQ8phyvgu^V$x}q|lze=xGCdvyEwx^JXbwUzu_2I3jsTU_ ze{CEEU*EY0cdRnF zHRs;E#bJMxInb4Gqml*}mhQr+MJ$YQ?DXnWbA;(0?ns_(5zt^Jwa4~zJS^_I94dL< z9hP3*xs!jzACk?O`BcW!!2Qpx(RL;)Pcrds)J4>bLpsg<4*`ZG> zSB-~pwo0?8#yt2;e`v4K=7@U(s++#Ob%B2ZQ?%8SIk5Tu{C_)0QZU&uT6Mel98}#< zycu^s7g(1Lc<+5`hEo4F$TD3!4%S7E{bMRQ;P>P%Piwq2+U&D8y|tGNofk?9!O9gn zE{m~Sm{73%ZIPu^D*-}ImpHv=&WHWBX01D1wPAhu`a_W^FNh;^!R~K)5Z*16Hf$?^ zYQNg~SbbyRmP~?jm0>Q}lz-74UY5lWiMLO@b3$Q6iZI@JDi0QCj%UBWCXtG8xnL(&FQ9g=quW^xuzr;?D*ohKGw>ClZ1$SK12hQ-*V1rZ$l`=Ee(1N zeDemycm%E;((Cn-~ zH{KbHJg*-OZ%BxT>)&pDl@J0u9<|K!|Mi6StoJ;E8rJBM z;6sE0g{W$993PEc!!;)F?V8s2??vJ4f)_Nw|eQ33T z)W4Uz?;cDAua%#>=FBYcQlv`i-mfWeY>$@7CCG&D#+eI8D&6tce+{e!+mC}A2 zT74tjaquL9m_!o?v$H_Hb77W+*$VY~6417l3f`oTnV$D9fZ+}$8ReZ;$bRh2?XF%T z?D)je%4e4eda(n1(wSz6#l`GdlPM5uG1ST~ngaB1pWlx>cEL;B+Ve|06F_Z?>Bc*j zX>hoGWPYK@7R6m9GWW7a1Mh(OeU5NFSkGQeSyqq49=B_Oo;QME$6;Qv1UUjm%CvX} zFHzBGV4_RYCjkz1|5PknB*JIo>c5wsh2nYp98rRD3hcE%FWA2j4JTgJw9!Z;EE#Ay z{(8<2l!;e-#DsiMw`Jl}*;NuUPmHE)YWD>{H(#es1p=V@#5pTV-wlPgZh0LO$4J zUv%FiE?42Z6DgHevuPTM(9_au8+j)P_h`0VjcE;mtZ6|{y)D7WnzmwLDHewl#t-#> zHo3x-O^LDc6vOBC$jvo8a>Z!)a9z{L4w!QZ`7oB=n^o!piv-y&yCmF z#zAO)w^Q<4MH=*1ADXLb4uP%bi;G|HBVty_)wv5c0dAhas4CbkpGV?lAZ@ zuh{doHVQAgXiR53Ps0A=0&}IER`BJKso)WZP$>D&Lsz0I2no#f!AFhEfv2pb)Tki> zTqnP8392HXlEM8Ap|gQ7^~As^sg=P2&9j@1rU&9_>mzl0_t=8GJbj}m4;i+nwoTsD z2*UR1iob8~CcrIYqMk^uC!9_+JI_%~#HTIf{P?0M=w7ztF>en7H5JZ>{T)GAzUlI7 zrKbtN(h{NgONfZ>0*TbA6YQaU|jRf__isg2aRN3!~D638A9toCll`bm9Ys#Uq@eu#vu zvFE72LUkbYVpGgE1!ZVI;XrB?pkP8Qmwt z)oWLyZ%-05ny<-?X%Vo{BwCs< zPs0Nv;njwo$AMKm=(q_r6EhUqloTl$__*mLQ8O(&9AXETpM#7jx;@wrP1+o z-dFVCt=SgNYrG*ib9|w@KsfqJCGC?j@vx`u zb()T<8@@}qZ}G${0`1pCK00R}0<}&5UO)LOfzM9fo`}X6yuVpsRoY++=+4k8+N{0s z)y#CwOQ%>gTK@8F*i;JEsunKPM|dkmNj@GSWp%Rud2E=8@I zvT&xPq?}-Djy`F@d_TI$NOk+C!p4}Not?9#D@7Bj$|aBcegxvA=lL5?H^<=3BVpB9 zR)!!(S0#v(-B7>oz0SOQ2yz@&Efor|z^}I-Rj$<%agW^m(%}P<_;robCg2MR%nGwl zy`S{P+>lKF#o;ha;>yc=Np}a)MZ>MjmM-Y>GDrMe9tC$~J-w3G69+ky*Y^l5CnNom zY_COA8h$hT)JKvCg%fkXC0D;>;n6!n68b|~NZK&t;lmUUkqNfsp3U(2@65sL;_U)<qQolpYBSfmg(7Oy@C0{?D(shtJ~;)0_Ee6Jb!z<*C-&nuAGRMf37=j6Dnp zOP0P(g_@JZm^`Kg6qEYCcyb{TF*0%Oiy{S#K=^oaTO_XCv05QG$Ks3ff9?N}2=>k4 zU*2EJ!Bq=&epcozoIR!Q{l3u$HnZ+tKWmkZtSpk2E;55F%up#0WQ$D>ox zc!qc3P`7{;5Th0gydT7%{v(+ePRXhGXN6N+QP2h2N)O4s4)-B`8!iG~3Oj{S6C3j~SiEp}-N$@oYqe?}uL75k(&UQ-++ zG5ACwA+0_KjZd`vm;N>b?OlRDw%NNu)HI1pwKEp?a0?rRStg?V?}s-o{I-L+REv?9 zl@Ykf=jE)hX)IPm-@Sf#7Xfzu2op(n&&4Jqo)%(l1|A>zomuoH2;Nm^cwgR=i>pVV z31c&G;=1GTSuSUw_OuA9#$+Mg-=CRPCLJrU2EJ+*_JInEq4MUV8OU>;UTT-g@Zs9A z3z3_&k!P;6%8P}98M4*&QZ_WaMRFkb0RdF!Z+=gGor;`}b2-w-(l9zqw{|d#0<9(W z68a8VXp_I8cAh5Y9R(M8)wd2KS;&)y6IQpD>OKxZ?u2)^!6gENzrpS}4g4(%wr#=17HKsI7_b#iCYmEYn z-rdGx5;-_?Z|{@ce^Ssq>}oxoBM6tq_jR(yP_R#OB<{Z(QMeKtBX@N$2I3C7Yn|c9 z##fG{JuZ|Kq#4qe)O{ntV1eaIZBY)&rfz5XDwB*K)J~2L86|+i?g)oQw;Y^XiT$M6 z!RU8M${Ly-*6?s=KTCRa4$g}2ALc5FMbGzCAs1637HVI*`}}Xt&`H(*2WzyA2NYQyh}+REW$~z# z%&8syC=1WnFI1!!B%@pOCxOdNk(m3H>5lqr7zTA;G<%p%Lyg_9Z%ko4L$6ZxVa+t` z6Wi;kye|Pc^fmABPHEx(?~go|-(;e{)#>5!F&gGP-D{7>oS`FGF=b;zE=F*-4}S}f z#hrX3?`vG$v6TJT@%KB=<53E8MWRb2nz!4lgr;~SAIa}cGg}fa+D^EV`@`|>_G+7> zv!2kpB0lLopNn2UboEbF#p2ha%%!|-1jgsZb}>nLSlZm|$@)GPrFsqZt#(o&RG-^N zYath-O_qQB7>q~jvb^--%sBXcN^H<8DHm%3-j=jVC!)u$GkH=nL`+;iH{;$Hjr5nc z6`kx<{8KLbb#NgO1`CrCZa>XIF|VMNLz|M&(7gWcs$4kKvJI*Se#^uMf1R8pb|j*S zNnOhy-Wc$*q<(Y?%R<+&vB=tv1RUPD?QPMHgXoqNvaQ8D4_{m%52;m?FwON?9vudGnEr+vF3`(UW!Ge5x}LT{*9@#$=#%->##QyAx3(EV-jtHVI7(c=8of zqw#~E_~4%2IBfdH9sGNH9GY`zbpP>W=;z;o%O1NDFoA>zlgj*X^}DAF$A|^(MG(Rhbnh2?ELhcgxS0L61i%vK&EBgPDU{g z)7MYCB(sq*y!P8n2bU*2QS2o z&76UyJW*lwOCsifnCtE+io<1#vG3IQ(_qBp$sXUIg74lP^#6W19=AAIb||x1;Uu}{ z-3+||T?C_^oq64>MQ5Hj6I-=JJ58}oY&*m7hUk^qM9f4eRpj^0b=WVM%JXnJ@W~wMhP5j`+cQvU#Z09}jvrG$&e;um_B9#i*Xb zZWKMz^*tX|q=ioS>g|VzcH?9H<@Q(}=zUkmrvMjrb+}TWh~S4x#Rty?bp&FuwY9ggPd;*%J(QTbb_#3D-3sG)1F<1kO#NPE4*Dj^>+d^F#P@zp zb$bjvk;^`#`8Z1!x-?UzzNSZDMZ4eCk^v`(-X?wKvET))D0r|#GH& z1*2@{Ts!;SbGVhS|IxSBFkEqYPSrR_Lb2El&)KbQkWYD#{}J7V(YsPF*8lTE(mmS__U!1<{d@;`+?>*{VWih2=9E~2ZC`g2Q-jkxQ*a^5XNB_0_Je_g< z#_d}#2Y|HF+JdW$AzsO9%g4-B(({Ng zLJWGOtUyM#W~GuFK6JFFS@GD*c*3H%!B{<=hC0VgW0`XcFzMHW$?s)Oa9Bsh)vziV zoqhVHiej_zzx58W-R5U-^Nu{XU-k+3LDG?OS|I~j2rmt)H2m=X@a|s9I1zZFS{1L$ zrsF$v&dXm9dc&0sW80pD(lBoJWq^%C8g{+&{XJ7iKtic`z>=T~ezI(mIrYsRu52j{ zeV1j6<{Gw5#zTRqr8H|k>R}HVib_h^+D;hKQ)^BAF9dhob$;~Vk3CcgtDo2+?2g}_ zeLfjc9fgO4CekNk9bvHd(WxXyZw$2K>U{Mo8teWlukwfbL9}z?wpeA{!!}5qX{@uxRtSFHNmHR!pkFy1XpRUzS7j{ov$>?0| zZ=wPB{T`yVOb8m!XQ_X=5{|oh{OB0tf;MuqiCdq?qxhAWu(OJ>_`rcnv7pTk!`aHT zj(bwD&T{fYO-CVyD(xGQtcik?5iP%j)D6%%R3*$H(;72=YBR+Ixu7-_)~TX1I)};K zHGJ)l#rF)vRG)dGTy*=C!m>9=yt*n=FyM-gyEk^eQ$7V3vd78HyOhA^RkM+Q)mf}= z)*UlEtb_;a;-=b!$l&qeYB(}-?VEqT{YK|lkTE!G&*4pjXGPk25}V_&Id=2IXMt3Z z>U_cCcRv8{)Ra8kd#(`G{|Vk}*ct;a1dkdYej3V_b+#VqEW{v{TiXMwsnF{;KQ%5Lk(y0@Y0&F?+wWu%u_zXS#it|8iqIR{>{h_E~jdJ`F^H_q=g9@pygkKKUSInJ@?Z+eE@~ z+w7gYh3R-mq|1bZKLJKk8`7Ig8GHTxi6Xhu0R@#QHpPM`LBy8*b>XgHWJyfhF{KoU z2ROVJ+E`@J>fGwzo|CGO{FKna5vGqlJHetflnU<&0^++aDnjeiKV`Y1)~L?Lf9=bl z8%$3ZS^cI(!oI#hisyqgyknc(a7-@=R>l1Uz<~xvZO8THizBg?`05gWbR6gaIY7q0 z+;~)KXy<`^TkhSwlUaaK_Y_{KvLpdh?ultG5h{+UMIh68I%;jr&p+7}3&I_OO`EKh zFev)&AQJn@vZ|-h!QsJ9_#-YPAxj1(8r%J7C4(3ZO{_y(e4Gp`jMf?5pF|TjwSI5;1oW0cj z@SB4hR3DS;cHHI*6WJ!Mjchr{$Gz2enV1Z-yz`a&it_Nki3iWmGx$f`Zq8tjyCv98 zT_ii5_CWdDJ^Sd5xft>)bbf<$66C+U{iM-93Vio!RyFR5!_GYq??2m@1nb8OH;8PE zfQ|cdj{e?EMu+XuJ+@hKaK`II)Y@)6Mo!`1-8XY^liznumZoGNlO6sQc$2W#$)WkZ zMjmQ6G0k}u$3s|dK*;4@d$7&4xN=WF8*@^PtXoS{z+<4Zqcc7NMGqMy2p-Hw+hgK( z`+mp31&;;qJh@=F9or%ugy-?`$pVhSp=2oCratmqM-7Y`KDl^vMqqKd%sm$V5Qvm! z@uHQVgtum*d&CLhs9EEE?Pv)F4DF6rh;&+lB9BnL(O(Km9y-3TDout34PSBj5+@*0 zwsSBEl5ps9f3{dP3I1~4lf4<_4TmrNHrl5igzsn5RyI5!0vx#c;Mn~@_#t^z*LAlq z-WOpPl;9)6f$S4E{$m{dT9fwu+2D!N$+V->;{*_E=2N{DLxMw={3~;7Zpg}UHrH2) z2#Ep5bw<^L;k8mpX(OjAjy%b`o#ah~Gro`1>q# z+h7pL=iw4N?txa~gwHdDBzU?-Zsz)T5-4bT|Lk}4!|RJRYmzm=@VNBO?A2f*@K68i zcTymrOUyyH73_bI|91#e9dnND4bO)o6%Zo*U*$_B1!2Hr&)(0-dT)RIs8iJZd zO3zNEgh9;_qP)?7JKS<-GUcR%59QWgPCQ+IZXc8Gvi??=rO=b|uGdoG2V77EvY`lWFQ z@LT3WOZl zk-{&>z-TeWV`57TE;9RUz5XZy$~KL8Pv6tS7P|KX;`eBb@8dI--VzEvk>l7=p@-*r z1g&m-qM-%fg8Gn582nbYC#Bh#!_HqXPe-&cdaOj#v431d*nYD2Ys;u7=zTH$b~VHS zf6`KFQ-Aw|O^&k3#8d#3)jo_Zd374wre#*Nj7chB(c^?~-*5@$n%wP{p4+@8Y`OQ3~P3CYq-Te8sU>XVxP=>iWBcNvV z&+x%;c5{Vldbi&H1K(eS<^cp0?Y8KZ!qM{4>7&t6)xsYJtB01N8yEe*n zWQv<=#Gpj=gO|K!;c(XPEcy9>BFOy_PR_81L5t%QpDR8Qa5ZeJ$GsEkxZj|`ugEF} zyUl3PVuz@p?D94w;XV&4&WcLq_{U%%)w$v7FcmUh7G)IL9>w+!q27~+BTl1kaxWKk4!QNnAI&~X1>Z}%JbB)qpM-a%XK^c@ZVry;?(1G zH*$s@=CeO9@ASsrz+~p=sv!7ecS7r~Q5-zKr#+ROl?msfW#t_Q!$GG`UDU2E8Mep# zv?-KKhmZAT($1I2@U`%w*G-m0sCL4MXZy2&9y?*B>gNt;MfPu+VdUD=F1|OR)Er1S zq;CGR-3%tjj}Ut80p&hAo4`^>rA0 z`mO*LFQTA!dU)>cVm>IQj=BBzr+}U%ziF^R3_Q+Ty5G*356rr!8)(H*&^{hK@ya|N ziiTBQRXG$vJ?lcVr&tusz1gKY`z{Jp9!MY8(kp666Nd&JD=ML6Y7>(PPd9V4$DT@=KEjXGBMRJ2#}k;F<4zsZoVsL3#1{ zZB7V`dZjC>2-AQvv|i4AlMa75=Ja`fhQs~3-|sFQi-nFS7ru~A=Yf^rvBv+1(V%qY z+Lz+fX<+d?DnuXA(9|iQZS=H!98jRe!afQ>X02I3ai1hV^Ly752Z2p}Lyoztg4c&P# z73wkiM34lNQxX68*izxy9FK`aV|NSAy6+MdMkCh$ZD2|Qi$0pp^|RTK!6(h{UEl-4QU9vn z|4M~IhU{A;vVr${yhO8YIQY9O3-^4Zfu3$abIsp8U_Ul~V}nvSuy-n5YhQ_j{j-n9 zX2fz}a=y}p=X(S=?=Et=@0SGEjnwAzs&n92rg!Ae;6SiAc;rFMtrXDvRP=Uotq?>K zCX$?%L!m0|YN@Jq3^<+NTa>Y!$LPx^#{w=zLCEYEk_2ls+#We&KCVCq12fv`z6s`!^SQW;D!*k2?|BhV*+nxV1voslfTb@dIyqE%HVS&3U zJ4#@7Lzd(0Kop$IZ~ExSmjJxtzsjoJ=pgJWJ?yR&3Nb9g|5l@7f%w5!`bbAEe6c2y zCw+*}{qQkU^qn|JXOVd3PRfTYCFwn+ATn6>hi=hqN`n_?Sg&2`Duw1!$-V-71hTEdL{Eq_D!s``Ki2em?L9&X5mjdcen-v*Mv{7dnh;rLh( zksFj!Eh>U#w)MS_qe4LVDo^D8EwQj|H0Q%L(IWUWVc@*?ZV2qmJlUA98w>s5wI!h| zAB@VHmB(U3L8-e={hwVd{K-lO`~E`sx=H>mH!&Qvd2E$@s-l3kZjxf&kqypmzgJ>R zgJ5d!`{CcuV?g)TcI)F6MPR-c2~mvuvOK$Z^p9a2Oqt~i#s4mZdEq?)+zegW`mhVf zchaC__=256AsuKft{;mGsPL>#?is0s1_9djJ9!!Yu-(Vnr?M^_rpq;nv!gL^tH=EX zvt0q03@Ff+fCgnJSk0{&*DqRAx{;e(1QgejcC{aoph^vHkKu`hBn`HXKe2`IV&%!@ z=30i|N;O)pZA%5V8wp+~j4I1v*XN=I`HS_|=Kr zvXmW3FqC#{{rF!xC@&;W*Y#83zKGk07fLiZewy-b&L5m%5blq5c>zZHOZb{AJ%M^jy6FU4k5oaq

      2nhHTcVpG(0*K#Sp+;WKg+Euldg^wE z0JDX{yYzE0z(=ak;WNmGL-dDvtrd}QWxsOrkWCuowmcb;ZOQ_zhY?r4_!FRyl}%%4 zAqK9{RZ_n6WdldxK4;M&D%^Wj>=l3HJS3BI$L3gb;ED?m{JI_tWft-=!ecQY*uC4l zeorn4J!bkq@sEIik{yYoQ!!A08Z3Ia%s%v1zO&_Jl~fZ|@uA~3x(Vfy=f2rvyD zW)t6-0=&`Lej=SEaC}?jc+GPvgrB=DzP>pXc5LP3j;t#N$;Sz29xYSh%1M7czMvTR z%qrbOo63Vx7$cgXaBV^Qi+AIliM?Dr3&Yuo8?ZFN#SHJ$_|FNP?${6nCR#UwY5;kVPl zN15(DBf@jVtF5BBVZio%-L}|5KhP?PxdkTXU6-BCk)BJwf_Yr@pvIfvf1IlKO(4ZO!OTk z2f;`9CTj7x0M4GSWp}OfhGMq`&qjk#h$C?()U6f3(}{-r)+>R~aQQ70lEPt7_4D&5 z)I#u;?~l(=CBh~tV!+8lGQ_k#H?^8!^bm4@{tu==D3^(4Hhmrj&EF+%E$J7)ll$5i zDGmN`{o){nHzye0z3BB@xttGO?#{Z#1ZOA@y&{+z8xGuS>MLIvKEsi^s5Qypx5pi2 zD)#vVkoz$8MjYuN*MFH;chwyR6w2#4K9k@Hy)r>6nGTy||C@_(_JtAi7>P?UzEJYh zVZ~L34ka5e*ymjKgVPBV$0yr@0Ah9vpZ!z-d)}*b|0;6@Vw?1XH6c$JDz5p%Q-2Y{ zejIk3F(iVud8qS}T`EsSkC5K}E^oGL6xO=;jC+M(|D`UapCK=c_SMGGv z4g>Kp``GicbZ9=%NN|WGz;CAR^6P#Ky|P+zi)GPa`^|_CWEBcfZ+ZWmzfFb7=f@>X z*b2c#PIDk;DHLM4*Hg@eDX{vYcjPYP{I*}6m*drl(0O*xp%5K1%vr9lg$K~#X@36k zqe=eYKQ7Xn20`Fk{`l5$S^wYYy}@^LTBrzH7-Vga(A~{l2+%`Kx5vayo2XF8M>(xFx?#rq5gq)?=j|i z=h7VsayAKmZt<@;GanAc#%zN=Z}MSI=&Mp|lRtcWY!=)Z8V0Tg(f>VKqr+egHRixL z8EobPep~d018?y5ox2(P{3T2jKPwP{sI-CaT2UCBH!t1A-&Y7f(}w$!+KJHgYVZS- zF&W0b=&dLP6u@^~U3r(=e(-uKd@oB~2+04p*ri#S5BqDAId)ZgLidMnyMA(q0gu8+ z-TX8i_Sx_E-tRzysoaJmrBA~_k?Etv2`xJGau}HkFA@siYYT6V67pwf>PID57 zRIz-gIHOWj$4`vBt5xmcHH~ z;nV(1>sL$)O-oalkYu(gl?(nV5{5N#JoLIxygo2V^Gj89I_D6%16>YCBS7Y^mX#f zVA#HI1SxWEpipYqoSeS{dMhNILtTTxZq&zHJv|7*y5&p`B%Z+oV&u0|azqGX)BC|m zB0$oXwfc=e>~Od3qiMoHB5a<##C`CpH;5^<-DuR(!WT~+yXIv`u#a8ww&OcpuapOR8SqRQGJM>U+*hns6AX=EO|K@OxMN%L zo&ymAWGG%*Q#O`o%unr#xYZc~YO9P79^4lS$1GY+Qp-F+W%sJ}OKu8A882RKiHU|X z8NP4H8@%B^rd0pm8_D?Er9w0&C=%9RyxozoIST%*o)>-@u@5|j-%fH{G3FyN#ZS(S zgpKRuHztdAz{zj3RZEiq`{yM?7K15}_(x<^uEG^zNlYhFmjuLDkC;837~HTd{e7FI zE5>$nWnJG%1VLT3*7Q081aIzkE=Y97^pwjhXSM~y(LhgXZ>uZFY%U(!X{U*y?Ih=0 zPeS0o)y3qy_XA*pY~*~&%N-3Lo$9@L-4p)2GWQ}lli=HdUCeO;?#O+EoD?MQ1sD1k zJ>D4*fODh9hjT%0_;mA>@NffTKMUNW9~*^$Or(zJYMcxH*4)wScaQ+HZ`d}UQX#|d z;{VPFB%H-t+co7%WaTSec4? zAZe|qChI8)UMKkl+ zxU69K=n}gc(#i(glQ)#5Bm{u;SB>8Oa%Zsl&|=e~7m4?)dMqpdwfLrdY?G^X@;Qp1R$6}ZKL0#qh@ZMPxdcJdy)?^BUzDVvn8$~HVzWr@U&&?S; zznDoT%zA>cqI=Z2@j$3GReCR-=z)^zC*I%4qQJAi`tw5Z6fo6)%Vzc68(s*C($d3S zLFw<;fZPEu$et;fPRS0(2W6f+M%t*bX2BV^BaXp&k-WEx!iZ4(;)oj4y>qbhu*QQ@ z=P=k}C=h8GO@#yJx}1WZx->9*D^~KUtY4iZ1KE5Km4^QHGQaTjk+6 zwlC)FyZ_frivr#Ih^<4-Ho%|r?ts^?NTd!6ey`aP0agF~^lIxM!n9BT~USIV4)Xwznm4(~`5uXsJ2+eifo$14^Gbx2^c+~dIX*9W&Lj|Q&Ghrp>1 zh5gmp_K;xpQ9NXUivO7{7dmTD!Oc+iPo+8u_T;r&ap(AAr%xRf{)T{~Z<4?XE+=?k zv#*hPEF51|%XhGhhl4T)&*>r^BIs91swQ*#;D{v z;v#O-k8&A3PsrVGHHiocR)4Sk|?uVOP!Dq^QsX#Rp4SN=J8`#6)uDYJz zv{n#Q+vO4-$q|ri>Q5y*hQjWK;Cmtu+#vc>m2FW<2#P3Z?9ChwgQ0s|4W}vsAZF{C ztQbuq-gM8iJ;UIUsf=?s^t;`GO>e@XW}bqV)ZRNY-3$Yf38VN=c|-`_dMKtljDXYY z_r~uJgutux(mjsZL?}ytH!R^nz|PckLg~#A(5${xt5M?*lQs#@Ulo!twc$F)ntCYo zl1AN03_t96b0NyGh=4r5!ldq1g@A(e?_JZsyg}*7;_*UuGVb9zYn=Ep6zXDLD?7>( z;5$cz(exAnPuuU9)@%*|x7xLul)J$|Quq+p>*R_K)n_Y@N-^?9Q{&eUWn1|D^rM}7 zVibM|;Co|d5doeblBhW=!7yUWwE9up5S2U!N#pN>AfoNCz^yGdaM1gUn~!`n=GYYQ zDLY31|Ma7hV|xNXTRB`J;e!RT)o^{=`jH6L7qtpjhumOk?oI2z+f-Z@SGi!HK?SwC z;RnwW7~J&nW=!Bw9el((n%v6xpS9S`385ERJg(cPJ2AU^ptp>4r(?B+V~(d4l1_s}z66oR10Xd}OwD z!~do`OxJdKK|q_|%a{$ppmV02hke``jo5_hQ?4<3j7{lCS|1g1bY9iH(zL-A)5)oW zseusZT_E*+gbEw?EPrsSvd65%+szj)1wz%;ofL`2a5z{dwl`f=$*x4H1$pSwxBR`08c}NAp*hg9#6(%^FqSH8J<_+au5zh(5R7eO3 z{qsihG`2duNl@$Xf^qxVDJ^p{@bjNZ5!&U7&Ec=^*sK%50xr#Ndrg6b%|~x~vACfm z_hO)T9|@9{ehy3qGJKjiL479Rf(t!6II1_0fT`(G<&iilL`ug_vA9~})=UfH@Ec#y zOxsN8>ZgK`OTDFSq63<|7iJRh>{0N1wQ!E;Lo<>2Dan;8# zS08ve`0M7Q!7yl|$9j5`82PhD$!gWh92e_9h3&fF2TNMlgnSr$*RknPq^5%@E?qPb zc3KJojq;BB-Bl!5;Q4VaqSqNuKHB?DFx(H!?YQ;q7a81o;E~)G%d?nsRN5?;!Ee!9 zvjuIaA)sPOn;AWI8Y_6USQQ@-VP=o%0rl;nU~xLiOS;Ag)jQ)dr5QbGrs-bDq)8}L zfBnEb@kkdbufml@P08?zoU$wx6bgp<`_vm$j-h_6t<>}Vj2_@mIrYId3_}0>bQ@hd ziRDk+bPL%?aEFVuCtZdD{E9^;=iIi7RD%rV(V6k*x=v%n?q3fM z^@shBqVo>K>TlyPMMhRA%BW;S*?ZnHlD+qQ?CqKM-eeO^tBj^7B5|jFv?P>_lGTt> zDT=6G@BinV=RD{8y+5Dp`sW<@8YaD>5lsQot_j0RbjBSKM{~|CL_*8n>uPc1L>T_h z!*yQF6E`^WZ5RtE&?IIlpDY{+(+c^-uc8K+vTy(AXtqt?a5d4N`b`5yJ%Y~euw%$- zCE*_K9|to(HP^XgBOz!p-AKyM9GlFK7rb4FgCu|Df#ef0;B;v`sVdGEedZR7sx&CD zYwrWgiPR|InK{<{vEKxTW!LEm5DDx3?WXy5oAX+|yW^Q=C@7z`_b#jp1Is)@^T{7c zkY#vlmtYbRCU-Zri5#OswVMM&{=-CAGE5OG-Q=%-XMb7NjnKdPmz5!B_A8%EiL#?1X~@N|xZtaZF=&TNHeJ z(#SJ?F&TK?Hm5vEbAS!a)S4Ix8XWwy@0Q(cD!^;zRS63dC`sx~i4&!OE>FS2L|q)b z(H*HQ-k}7?RW6(uvf0enE0^^saj9UyVeftI2Lo1&hDoPzZ~8@avz^WBbWl@!Y%`Lr zhfh9?{|KD%hktsC-SYhDpmmwXrE$&|VULXVo5*lTu8`hR%aIE%L$~=WSh zRJ%(c0AY&4`3!EWu{yz597NbEOP&Y18*=?CYXI*o~NoW3(K?o&3@=KZ;0J?w+& zQR0ghOc8MJuH>r}o?KwH2W~2bfESfdj#mumK8ib9S_128T+K;X)t2dq^;0RgS~M%?=Q+FK$2>mmE_lOU>Y5j zoD7bEqrNr2(^+HSQdRb|8`9<|c0c3Fxo!$nR$g=%(~JY|iog>M`MLLZB>agR=4YQV!X24*Rfk?h!^~SzUgyjx zV7&Gqc=e(I#?yK)8u~`UU5DG#FSH^-WsaEA&S8U$&H=ak*`i>pXc1NaCK*J}Gl%X; za!21e_6`zW*1L`Zcyv0KfXu)7SHa|mwK#}hsS4tv5xiMue?9>tLxhFQf z#uWoTmQKOP#G+t(*Yy|oH4TvAuZ(E5Yz+8a@H{p#5(|S2cB;KRw%9|@{@(IB5q?pW z6Qcb{@Q(Hg?nM$&(;Ilj}tWEXvD=#V{fPJO1&PLGGr zd2y+)WNFY_)pgh1)&$>4ef=TzF%~9wxkl7)&_Ma5_S@v&NAV_eK~rBzG`unj3J6Uj zfz@G;FR=#4A?&EC8AmAzN5?-_OWh{}Wvx`1_#QYS0=oW#J|1=@BUOJf@%Dbt9#|M;P$G=r@ihjINU3&e*Iz; z@JT;vj5qTG-7U}M86T2h58W&~`8^SM|H&H3+2w+*ucY4B=YIHFTszR?Fb(XNf*v$o zh(Mv$9Tc)lG&CtE>dzQZ!G7Nx&XWbExG=1}J3A*DSdFS*Efq#VJ!AUe1x+u|yL-BA z?ZGDJGe>{3x23|w1MMU9@+qLopfLKIhlY>71Z_=P4S`@zSNZ9qX;AD@IQD%H4Ug>P zd*1RW3QV|iPPuZ?pi?i!IH4v080Ox6l<^`!`IpsyXPgr;>Z74Xt4=)J*Je~PY7d03 ziqY|EkA$Xlsf8qXa#la$?#Cdc@GXQ4Rz$+p?S8{7qzEv}QP-mQ1*4l4`~D8! zC>YOidwz_G2>nOG+VeHS@z=fO42J7bz+jla5V<29?lHO7k*&rSU}C=0UOb-g|o_O9#f5|nX6p%t#vS=m7#INsyf*R2a5gKuB=>4*e& z-3Qq|AoC-?LJv&Qi?=R^10yg}bx>QVBq6nNV%abhCU z4mGEbS=HwT!Gru{y;i+cc%c1J$#tgVpjrnhF!{aJ+5y;t#k|35exg&Bi7j;*g#I2||y1UKnWL0u}QTQ>n=S5K}!bEAsHa2UhPxqTE+Ckj( zUjBzEys@~;qd4tvvopA>gy_)yCL!(nO}RdEB5qm!^&lM|Chy?Gu!iFUYCgolj{w|vwygqRnC)B~#i;Pd!Iz^{j;c&f;4kE^sb{&&Nd zcKop)IDSa_e*57Gl#hw-iu}(X=Q$L^-Y0p(*0<9I=BLY1#5ky`D>oR&g_-Ui&~gQp z_NxC9f0U!S*@*h5{X~r9u{67vt&S^qLncN_GjQtaS<95GzM#-Zepl`n49z333Lh^-$nXfAH>rrZ~9SE_dMJxII31Wg65| zCqq~FbP2&W9`2R!YMlLJg|c2xc(9WS4Y7@4-+H4#&Ex3j@;*~c@1Ci=K0$*quI1-Y z77EwQaw&@_?Sn;A)itJ4j;1P47(p~rCBr!8?1 zyOAS*wx0$O@ys_ayi&t8Ns}YgfEb9$Ec%+;he+ig!+v{c*jqxVX`@fJ(69cH}m%>5|%M7w;t`*0YfRvB%yPE&B|yHog{(rDo0HUAnT zPJ)~n-QVp?q)pyEIdHEl3Mk)eM9*A221-ARY_yx5K$V_ncE5@W3|&%wEV2{|7Bl)O zQMR^Vv?`FwB!$+gR z&S9xEdL|C06}Qi3t$S_y(Pb%#mo(^Fe{Pn+k_7kf6D?EoEFo|9nL=JU1@?b=c;vBL zGBnGKG8K022c5S*23m*w^NL9YNf*K7`nVoe52EKSwO<2Es`tL0z zD8QL{>{XpYAkIgc+)p+12fD-M+Xe4Xp|O2(u>M{U(kr_#*=hMf%zvr7j=l&3oy;g9 zXNoflo8M_L{6c`2Roln*XN5zA=l=WsVUGCk&sgP2DR01AWr~_lBEb07u{-j&>@hBtgbL2b{BTTm2yuKetf%^Hlm43q1g=DLFY z+G6FFpOGNL*)hG|6ok7=8BQxIxxj9ijM!d91%XxGvzM3ral4al5QW=D-rgr?e56GP$6 zoJ_Y2@C@_>)YOq!We2 zGZGrZmt<^e06^q(zWaHys5Bj2V6{dd3V zT-s<5E;rZMhWzk>PNzpY7doO~Mf~n9y(7W6bOss~UU)&)&I7bJS$@!X^WgpKfu6Yb z$%eJd)*be4-=j72$q)E__AM_Zd!p~d&xW5ryTgRghy3E&G*rDbb9awQ5qwEq(D7bR z$GsJ=D0hlfp<`Qjqte3y$UJmbNv|ae^}6Yf3S5cCE={c{?F@fNCn-gpo6be==Wy1sZk!qQ=VASP5)9*>3px7Pq z`SJ}C#K@`~Z}Uq;`AY_egtx`x!;uXbb4Y;K4UB6%+mn&&R;ZX^RSbR@)wLI#&IX&x z-tXcCarj!QFmAhx6VCtfKM;R87ettoh;Ld*_|Y|>f}cJG$1dv`F8xjeE82P68jWP! z^7a0$J#ES8ac8|HlOqe_3^giu3nk%g@5~1#nxV*_7$fqZK`zLfi|<)0iNwFWOHmge z`y#{GwP(k_Sb^lAV_bz%3?^_*9!(5 zG}PItC>K%ihMq!z7Yl0fCwE8U@XJNxoss~_Ehbw^F8QNlWS3~w92v7Dic0dGqwt3s z@2UF#5+UjHO@=NE$0=)CfCQHv-uvmsFIpOedTs~*?4Z$bu!>PMK|=t}@^-(Xehor7 z8PkjVT`4#lQN4}3nhMiJ0jXv83c%{-uG1N(h*%Y>`QEA_0Ia$lJM4E9!Oj((y5Una zWFH$n+fon)A}fFYweBf`Z9dJ<^Y2r!l)2#7HTg|%eOP;T|7s!R)ZT9XkVZjU%Mw;A z5(Q-W?uMUvk_$D`22Rn`VB~d*8cop)hJ9)lt^=wC5U|WSBzT*Q%pETC!w18mMY^^4 z9Ogr~%WTZ)>m<Kqoou;*dA=y(jpY|jTZX>;2`e zv-sCQ&}wb<7_iC#!(Gnb-#iRQL%-S~izsJYo-&lF3kbl4LHCMVFMVNPW2B=b#s@1_ z{NFrw2}adp|BW7h?+Yw`$KBgW$>sXs_1*`nI0!u{d;CD^{UZkFsTg<=pyO`% z$qHvLIc@uyr-WaAExqpJ4})BuDW0tnR_GDGYFRSwj1kA5d$FXZLHf<6sCdm_ly0N! z)-9L+jxQtgRDfwa=`xim0!74vbGAfkO2-R}QNrI3eS zAoFEdDm*DFjFc?(!o9hZhnWNHaJQD+O{bAqa2dU-*Dq>-QN#S-S9V8X?SYlF1Rhtg z+4poy)(ZppEh2aRD?0^Sri{tWNkQ;2y>6#ny(GwJscdIG;)q7RN&yAm4RGP1@S3io zEj+rU-W{TCjh}LM5^0Jy@HlV&hQc0IAgn}h+51%(xrWV`Zyid8oc*i4BN;ZxdV;&j zWOpE5i16uZa-o9lWZ#w{v2DNwtM)PSR?0Q=f;j22N+dp(0?c%f_>jFo(kKrN6K0kYfp$X zWTZd;H7yv6jllvE>kjh3{9Zy;LCY4dC#CZD8b{;b8!clVN_KdHk)6Sp!yS@G_}lAm zQqaw9W$nDR18$snsc~q^1yVIXTnpjlMIFE2s}nMjfR~a!Rz-MWE92{#UM>d=ziK4t z0^xAJ;LNM~$F?Xaebi-epCeu)C|KES-hb#B&iTH)0L)zZEOE%$3z;X5zsvAfg`I&$ zKtFN}`g;woytnnj-1Y? zpBs-X_QBAoE6)?+Xdp?ie< z^pOwWucbdZ|JNG-dAsv-Jd1_&r;qa183NF+dc~%hY>JVMJ+Crv+rrpZ4mzRi5R80F9Nj~-L4#vgwKB;LP+#~-yH_C=YrD1|c)Cvv zE03|2uc6zoi}@iC%@@GYddUyIOp`( z-Wf{d#AHXpZBUfcYPfG(B-38TjzJDZm zG*uVL#-xmo{jS=pX3%iaY`SS*KY*d^#yW4cHN?GnLYIG(gojJ(A%p4#y8SNpteZKkkA(wbZQjUTS8OhpEd5WvK9WjFt2WfUhiPnC$; zVUKe-eZ)*8c&1t0H2Gro|L=xsos0HI8kgdjkVgolU)Nc{={>-5a-enfohLfCkbG`A z#saIM`(%`T0JO+HeKnRh8cLV<(egsDa$e z@go8|w_oKJ*Y!qQf$-~>GLt~j`p3slQDK;K@X^Du7Jn>`;1eB;K7yZ4uz@X4 zbj&m&LXeO2IoN~Q3NOQ2?O>NZNP3<47d=BmWx3uz9LX9Ou`hL{(7_(K+0tUj!W7ix z>z$C2wZp;6rqBriC(zf_nbu4rqWbOO_bCr;adMl%)Ai2?l+JtSD3?R#dx?uZ|}yJBu=d84b;{V?sZSZIbfy^jKY zu)X(-oozQ65zqM3FFC_G?|pvByAOec9?RaSUtxG^#Cg?yM@3bSsJB(dhpSG)ow~uu^du=H_G&b!9O+JX4D-VcbtW1cBMA-o z)O-SXlYq%|Ac?Ib440{rPQN>en8xC8XYEoV1j@zc>=g`0C93(!Sg&x*I@)8RzB2(5 zJ7=%9IECU{VU3#&8zd~$oHRJcC5WSU1zw6$tiXglVK^$9j1!rB`IWu881|@P>x0v_ zz^;Dm_&E*=J||Q~xlf9N-15?p;0H?(Z)|?q`yUzKZjV__d8LoObYWFxyf%=xb4uMl zm5d!T!XNE=kD|7Pn#c_aJD}vsdIu>7BcI~j<8L=;&}a4~ohgcd0^NQ~>SkmdrfzBQ zilxEFzeJ`5a7E_AgUMbAf#}_zTrgJ{1#0PTNq&OfSmz&JU#%C7BeQ3-NM}MocyQoh z<*Chmy~opmKn%wpA;h3NeK8=S=&tx`%okb4-tq+X`Jlwup4Ra? zs*fIcVYF$->A&M)F!}eR6ytttj3doFr>_XWr)xTLI=8(*)zZ*rSziQC{+v8(uk4BG zR~I+VPx?Tmkye$~unG$OIM3cH8Hf3{G1oq_c!RG%QW6`}0g&vzxAIhjhK-WH)*iJJ z!PCrYkFAy^4qnN>@l~6Ee8b-f*XK!K)c){+#JVGjmRySREWw#6h%rhpo+Y04lSWY~_0$htd2Q za%(fL@Sm#J<9-uOFwP2<-KQFl<2&{n|N7$uspC;Ct-43x99P*;1tSq-I=zJQzPP~< z9uD1g{)3LvofucC>(SUpk=ddA*9pYbS591ftqe!R5|aN)#NnkGGmrDxP7wB&W8b_b zzypr6ztgNp$TDJ{J5e142CRa%@XHG+pN6!gS*Z9qwOhV`J`UKoi@bN8^ueEc?Yv=^ zXlOC=$LfW10H`-l##ZmwLO=T5F?ne;-0hoX^W&;F*emGWnmusFI>bcN)IU4apUTbCfQ5ov1lBw%piR#0PH`XP4ogKc zu8mTMGNR+)1&4&bo1H&i_4b+>4&3w=W{!K6v^ZdjrQ6CDITZw1euS{G zMgwe*HgEiP*A;~f<9>`7k-*s^@L*}GJ<0|tAMtFWVwS%4fod8B6k_*m^J z3)UF4VSA(yG7tjC2QJ-`DbUBg|B>lJHo3*4m*=q|djPZ+X6X6Sw2`hfrE}Y*Ae`W< z*fHy9iS6kE=?P;d#-r!D+j5()Sj>DI)9VCB@#dmsX1C_(RFnfD!;JIKq7Ph_LE50)Z zy;>yMG8%kgLOq;*oBRn(aJyqj=M;@1T{Es1ZGu2hSUAHx+(3 z-(CcEXUpnpbYqdQJYBSKnharyyvqp}i@$KE(r=FIN&|-A+?VlO>1fA#*l~F?KOGAdx5&*U zqUyxle)TP?xYQ=jP^3cz=G8}Wl-xqN6tsoNe}s(BA^th#1O?Qy_BOCr9fzR4{Ud3$ z|NovxadqKh5U5f8DtVQ%prC!7iPI?r?K$c0U1X0z=L=UNqF>n}Q^@kI4QEHV>Mdb@ zrVcQ2fPUk>asWs`x4$wd$_V^6^$5Y~;Fr~JXJheU&C}S@8aW&5R8M(_s2@RsCYKtXY3rECEBlJa^k2197;bAK1CsT{aKlu3r8II9>BcF*3jhM>z>#+OxRzE~O)_+~!@@e zT+O>K%NkC^_pdp9cr7F0%dLM4CHf`(R|lg&!6^09Q$un zeRohC9P<=2+y5~Dld3b}MK%R9B1B%t|0Y6vzwE)U=GHhFep^bKD|nMXUw0(82Z4>i z<)?%z#@I(xOI}$D!9&mQw?()4z>;OZY)Og|G70;x)cuITVke8b90y1E`I-N*dy_6a zGwN&9^o+p+sxvpZMG255IAqCaauD*9@@gJ@BckWq8?_$~#loL!)sC%$R!ok0uCpE1cWQaF9`(a1bMbPi zWD2;vT^ueRa>1mBMm6lqVVF1gAX@049pt+oj9tH`0KWwXBWPIu z!|wZyhHu6fYgg(*fJ2p|C#Ome17#++yQli&rM0}sus@M7Y!QE_Q;2}v`;L1URFUw= z$qCB6oH!WJmOJYDA`qYUME>Fur(tPT5aE-GA-vEN&pUEW5AyC$WwdcbqFHO<@!HfN z=#RS<^|n(F%{I&g^PM*N|3z?pm_sy_wx2RFC3s@l^w&1|+f)=tX*1}|h1yqELh%p0aW1xHSt!~M*X%D;moiY{^opIr;X-GOW~sXQ zY}Y1#I)6DB8*YtDrEJu67DsT+8doqp8h|bGJ1H=ARVnTRrzi^tJZo*-`GI7EBmr-q*^Cf0sV?*${_t5xb%T}g#Lf(qo!(@c zL`0+P;$6KPje+omyGF}qP8$c$v}ok=MB`7Jm)WL|LZJNaNT=IfLu9ufy0^#34X+$5 zre{I32|$+VUPI=-v%b!)bGV3KBaY;(R}nNjO+uoJ-} zFKynDW5` zS6ao}zi$NN*0|64?^?ql=38G!rGP0KB_~Y$81u*7odTw3g~%XyUn)G_$_DRDz5eON zO2JUF?$#BV7~tBMr7dJZz|tiDr2P13w0oqHIKA!<(srMIjJ#IH9lG~!$LB_2pv0iO z`-DGm?tc~jLR%GgoszWqagU6tV{C>>7J=ZLO$V%Ny4aENaBoon64<}jTt z!7A7n+y9-FtL~#8#3DJBmk=M~~E*P;lF`lj|cnfLH(WB(7=Nf+XVAqnHMxMnYHVUpV6w#k0g{F%mQU_a8|g zU`(Fd#}k&mct2IFSGy+!GLN=(3$YpEXhy$Tn=lovLgKIgilRb#?SBuV>Kw7>b+GW_ z1`Qcvw49F`L;$;dK$H>90t1-!gAMXkInPpQ&`GxJ-yRAj#G>+7JmNDo6L^rn_NuMQ;`TItBN)pOsu&F;PX-A^rLaqDH7@f9VQ>?Zl8G|)Gbk251!|&dj?bLiP>?bk5*pfg& z@xhs_UH2nF#3Q-GnBENo3+SRKUV(Ud!cO0NE(GY()R}T&6TW40{`^7IqmX zLwET8mVvei9Q6N`EO8(dZ(wMildK6i7*($g>;V|d_WpQXl!PuCa?YJzVQ{s|S>#Wc z395I`-4J%AVL(8OMAY?Qc-T-?u-tEm135u03V}p4z1Bamyu%W|md4ZhGm9sYzlwqoj*VB8*2?KvxKhctigBo@%>F=k!(DHHniP{i9?CC>| zKewVlg<3bmC>Q+v$N}m#m1h$a%uYGZ~!cHR$oh!n-VYa|+%qWWHYB5Dg-od!LMWcw*vh zq6Eh~3bNj2D!ZW(1$+^=?bZX_@Vr^QeJ4_|##f(m!iMS+IeRzZD8crx=+Ec51MaDB}W4% zQy;_hVNc|wZBtyiO2jWq+AsT3DZp{j`9`L_J-#tzxGI`P#%t`(qwdXQsNcz#_a@5@ z-&{7|Ul<&QpL*(F5%s9>=*(h_>OFf@j=HBKV@kzpJ)@AREfFx;k=4ycvOpK7Wx96^ zG)(+%&zPeb1_6^F2K2Q}@zbXP>)2WfvhUiZN|2($4uQC?v)YbW5Z*KOSCNW8MsE@= zq$scxoxJ>y+au+D%D~|kD)zgC-?M)m184j$4Ty*nu!QMn*?k2n%9zF))mX;B*H?o- zQd@vagDdoMp0e7sJDJs~BIGwY6co3-m;&t|`m zjL7r;n4-b9aI;P;Luc#?=umG;3c|=;QuO{+Bv2illx_ZDg}+;Q6^34rQR5YdL!1{8 z=C5(&a$dATSK8=H84D^p*f zE%G`h3}sQNDENb75%HV|X_rcT4{+Pyn}Xb(r+$TE={&cltzr}uwbe}y^?RdU2=hv$ zF%55Pe<7Y{5XK`7lP6lQTfv6dpTUlPBEF7R^;g(6Tx z_Vd3cV=9#25^Wa{a6_@fMT>#_6jXelTGG78ip&QI3+4=_aGmZi)d0vSl%)9HbU6Xa z++xl$UkSx5A(x2$APSyge|NvEH56L1J=MGmj$%pPp>6bZVR-jb4)d45P{@yo;4w2b zLq5M8zsrL(eAaD|7bl|+8%z%Q!Mlxt*@o@pZvJp&${c2?Ply3(g6Eztb$@Kv0nh$0 zKTN;i_zr0_xb&`RHvOy{)|)A`roSbkrH>oipoMW(ERonxw|>vE zL-(S&!R-kGZo2nbBY5&?~{t(Aqd+jDqmZ_kde13H&f4W3!He$!Yx*40@IRt zMSWdll=>N{OBy1=KAEJsjvzs7?)}^{bx;mPMcIXN?xq9Jh!Wk8H$F(^4h=S-+M@lmn|4d8uNQMz?64>DBSxOMoaLVsu?2VvY1 zE7cw{e$TbTcam|{sr5;~7WBSIrQ8a?`MN8Yw(p0Hz4!0RcPSvH!Xx|w(FWe%aM=59 z!y1JStHw=;S>fgFeQR7B4zMN8;{GGCP;^`N(SMidf*Rki=UjW}28t&aB%f^dRK$UT zLV;T@==Ss{zb2n2h^$>Sd+KKfD#=zsUpIY3(3Tpjn(mI`^EGy~xkOMD zPHMSS=8q2}9VOpwa^v;^6+;&*dz|sEteuzif&;|s>CC#Sn9XF`_9h`60_heW1QCfy zdNp?8faKfmKM(#Grfa0Z&bGR1S!i2sdT7=#T6{IYUuN-HJJOb)nc2AX)tYI4t{dT;g1lcAGZ+?}fK+p5j zw4mutA9%Yg&y*jFt=zAx9=d3u_IKAK*R-91zQD`o+7&AL4YaaG=F>o7fcl78RTod> zmP9n8IqvHeNzP2k0_x!bF}tn77+#^>c1ArG6HLA6M=ktdSCUGiOsgD3zS7ZsDD4h` z85dM#s=@%BQ}5W4)G;(bDL;MI9ZmnkdnVFp;PuT%bhgYD=^k0{(h|^zgc&IJvDZUO z`lVxYpPa#1iDH$k6o&igS8pXh_QDyxW{-Uz2vE3qQR^_1E11x2TYq~i8OE14w0HOT z;q95LJ-k^q@T86{rc)yeQt02_FR~-z%s_dD^>t2&>ABb%cOV;lJq}3uHW4v6H@i!v zE)H`l%g%WT8^RZIqTlHoR&eTzZc4@g1|G_@V6c#>y{fhyTJ^2^rR@W>X;8ws@moKMUBxi;l%3bc}JX( zUcPx=$P@gxI@HXjQ;`3p@iWd&51ex7qNtO+!GE@rKb_7EjwRVem4rqEtHDALDZ~k{ z{a*U=uRRJS>rOemkafVul257a90Zum`S#y5(H?@H6Bpo425i5xPIr-d!c`uz;fpT3vT4VuAiY zLcDZOA#5wIw^%PE!tAoI{b_Lu?6-e;w<9nQw*ECy)@K$3X3nLq)k{>!a|K=Q1BH+| zq-C~b?FgGC`ultRc5|LRzw2FrHi3bjfKFVb@^c17jL-IsB2Ve zO#y{FjJ*$Jli|~%QK|j4XlS`3F&p(b4k+Kt3yOcoLCh|{O!-YtjOY{VE={C>BU|1a z-RE?WeNwhwe_0-RySJ-l+C{{8wfr3L@x3Vgi>9wW=(*-YoV_SAqt2t;>?vw1Qy&(zAd3TeHF7MvCRJ4NELytmgjx zh64J!dj_8H6o8`K@`<204_H@O+x33)IiHbNP~r_O1NC9YZsPZFaI9bbanFtdzYSaY zvZ-aT$I!pVy_^goegQ{B#fiZF>t9D}P#KK-=ngb@hQVLSn@=jIh>##5_#h&^4D?TO zv3`#61ZX-RA&1U@b72&l9lKObN}l04Q&qt z8rvb^_^L9PDw_G-l^+1xM+?qEfy7%NZn#y3A=NC)Cx+m})E@fbUONO?ko`+=q z67YN3+xwtA46@#D72NxVxS0ov_4y9Pu%tE@Mvx-IsT*E@4k!`f@lXHLd)i7s(Lc<@ zF*+2K&-_!o*GPo-4)HsPyGnsG^U%Wh7Z+GKE0YtV6$*RjyB43nDFqw)A_vMZZ-_c6 zb7fi9UD za+^HL`l4)X;&BNy?3oDp^vVlD#MdkI3PYiva)cn6~Kp!-rHuUlmMC)-R=a3!8gl24yl)m!2CdGbRamued`$AI^j@=)+^9D zcdHOuRJMe_6=%b^a+1S_42CUg<6YZ4PQbUt!ei0|ADGg4&>r?C7&=5haLvt}0IhlU`MWe9$ZS6!Q6aTC zr~Xf0?w&XS>~UJR@9p#fDZ&#gHf0*9`Y^Xi8=ru(YJ;Vv>2P4_fA#FYhf?6lasEeP zF9~Pmt-IUqrGhb|c#Wc2DEtXIMSkah0+!>SX782`fG6?Xtr2oGh^@^(^;e`E&QKe{ zkw}KD0sQM}O$G87H%e<(IfTte&N2Iw!EnJuV`?u6hI=r*?8yl@YIQ!Z)R+hdxV9xV zDp0^MDei3byD~^qt2(_q)*r%kJwtu(g+t#CSP{8-0x(#;q?8l_7uxdO72bq_of7R` ztyUIj&1{n>X!nPuv;ZlFOQG`+cPNWK%?dFOX7xLxDoJ7*=1Y=zo%Q0$0eG`@szwor^Mkv_4lDiQoE z7k=$H8V2*l-AkU9n>|9j5xQcl2g~ZQ4p~tlpl1`#9P%+APJTjCYKt+}k}6L6-id(g z*FRhn@yv#4`W}L`8yOb+wC2tgM?lxV85g@-*y{U?vaZm_3i}S~JFZVK&cZ^L8C|27e#0hz^H&R(4g!-cX<&oc8Mwlb=#c{9IOMY^vJ zD2Bm{##gUyf6fNMz=gJZc}h6R+kd{89Dqx%+*0L>1e7(rJ!aAt1DQ9hH$>w?z@(<( zoY|Q?;JH}9s+n$xTA~5Rj->~}L&Et#4~mb&gqViTmWy6!Etm45ub2$xE_wMau350* z;d!S!mjZv1Zsycgg~Ik5S*nK^GhlMux_b*aLWyM-m+Va3b+)9=fNyB}^aa0FVx zD*XK)1?L^k_4|eKN=1}HQe8c?qAuQBxV$CS>;Q2gQk`p6 z#V|4yrjgHn05a--CQ^yGf#<`BsnWCgAVnjyL~>9CIn|`hu4?&1Ro<;DQ_;CFB#I7K zpIf4A`_(vOVh^bBuoJMt5C<%LFR1yIv3c8W((5>+U~B`N;8zG8Z`u+y+8jQAn~lpNEQ`WDtOYd_L%Hkc1LpBtM{ztTm;uLE1@qs|~jnzJhUF&EsA z$ofho*daq=;q$p=SIB#w`G$hO07{k)@U?~7;v*uzcb~28fMt`4&X%_bcnxBB<4>5P z-n)j|^dh#vM-f>PIbQ$@^bUf3c{14hA9to0F99r_t~xVB6hP^nHpjU?7TDHf=N&`l z4Kz+~LPdOY;gQjtA|s_O{*5~7#`()0IBn&xN{bYOYDT@ejhZS(|Gn+9bIK8P)76SN zn)4wfyvKxP9?+P)TtP|A4K&0a=pC@ihgrE_@rvwBaOb96kVl?1RJ=;9{N0)dlxI&( zyPVX;!RyUNDphtsFI+W5DxD7{l2Q%vTiRIWF4&k%WeL|DRGtvOD1hh7(gxSo1n?k9 z&^WuAC-m%?6fSb)1C7L&lNk*{*x?^CAW~`z!)`C~_N?;Yi&-f{)MGsyIz0RR$ciiM z-Jc3Q@;)CY3J)) zpQL5r&Gh>~ax((BoYC`p93;9t>70~|B z9oD&Q4<=(ek6!2If>*di&~SqzmUB~2##-CL1@NX@$tnN_?VbD14Axk!@AB=Kjx)SC z%)~3Mln=zWP1#BQI^cSg>zP|C)?m6qOB(Kx2kuO970Z*RsNrS)knOMy7-#F12i?zw z&r;q4D{00U&>&opv_Cg;nFW^DXL0~;t6_(WC0fLa%8sZwLTaLa4Zppi7&K^ZFgYu`>%2Lbs@OC`ZRD&={$^=ys)}a z><{xI-weXd@_>#%uPQy+7+ct?=w!>RfrwJ#qJMHB1gIvBj#BDi#MOU3I=4K)dm+r2 z{9+#LI5EC5?Qp=h62rIMSzfRapcd=%m$%U2P^ku7eE;!k+c;D%&HJo|bGsJ(X0A6VA-3+of!nyXz2Oj6V z!RD2ZwR21!cv^m-Qu%9yrcJCbw7cD5t>3;YUN;{+?BnBmmRK<~(WP&0$p!zh6*{}C?drflqL%K22ztU@6;c$W)#fm{8>wK7-HCX3Q2QqN@~g>pynBaU z=8fVlOfnP4nTx8|&%Zi%JmdbBxcA%m@00 zL)l?E4y>wSP7<~cu1YIL!Jj}0~gxhJ#X7QImAdmB{g;7v#*vw)}JGv|8^vS20pKHH?Z9ZH1co3wwjhxe9N z;a^3wf&XRO&3XrW6bN)zOH*#h#K6V&8I3KY`ZVu1y<|hUXWP!n{h0Wp|XZ$`TGtyM$1UJ&#nhsydguJ?bqPPVw zY_A7~@0Jb_uQX8HOOgR|G-_x4lwI+_c&;=)cYtH$WtuKA84%BKj$3NW4sVRHvY|Fjg+$q8ha_KHbh^kT{O5%wJnD@e>^hSHQbQuWLeZYMVa{e3z-S9!e{}L~ zv}VBOaHBWLReSvL$CU3vy*d2(QT3nlYC5nyzanLF+!@(qpRt$PI>PM$cNxFkREVzD zwRG)pM60`fD#?L%@Vv)-iJ~JF0+UpJX-N3s!?HNuZ`uwpODV|D<(Lk$pKFwl4CmI00b7;RL^T#&OfGU!yW1Kel1c<-G|0=%{yl9w_hU{$NbZia+2 zB%j@y`{WY`Q#F$HJX2QaX?^^M2DKA3eQ#y`wzi*B7`<-X%eKUMbvn`PQ6mVgm+z;# zoC4?b>kpdcdLsSpy;hvDh4-hKiL@h9A?9*r!S-WEWM(AkVUM?fm2aZooYeQ%zpv?; zu(~5{{OLgw4QIIT)h9AI91j6`fh(5$R`{UcVSCe_4NOdKyeY9v1efsm8U=N4H2Jbv zCz#^^S2jCCE`3i1COiEAT5ekmitX#1Xfy!D2d)n$Gg2XIO@iQb$Q>OX9ZtGvX9>(D z50AD;X2bUSuVZWK)~LA}$eMS?0{VBYKM4Gn4G9~369?YeAyZap&={=r#+Sw8K! zyFGX(&PeW(=YX%rx7D79HuxWnwq)e;|yCzxO*56$H0rF zVREAiP0UU>Nb*6%3FwBBCw4Xx;HZ|IM*Yz&aLB`Nw9? zaQ;Ecl7>MnFphGFN%3o-;_-`VadCFw>;H3fhbkU!d2W0>8tI8ycU&0XJ_$$`#r<>T+|iZeyG&7pE+}28 z^YDpHfWN=KzY+WFgSAsH^~UC$;cKgYW6jkVP)c6qns2=VS6LT?TWoA0HJ-D@Cm|M6 zSY8zLJaWSNH#D0b`~K#7Xz*J~NfM-HC~O^6u*LyZ(GTaMHNoP;(hdu2BD`B8^Lgy- zg~6GP!`23hnASlP7nG0(qk3^}topjBzfCIao_`GH_5>I>OLE~M#atrq5o;valjJkh zsKQ&f=c_cAa^Zb_cS<~|4t|hG@^#mo=>DyJk*tG150tdW8tOvjF_XbNwC|2IlHYPQ zO1Yf}Jt?+XB(HVw^Whw!%E{w+QYGV!(Y-uy8c<1@-k$4re&bH2)*y%#9m@6X`+VZc zd#kMN)p-z?v+7{>zK*_R*JFs~@*&Fo@~fX4?AX4%a3gj^8759s3rlTefydK@9_y#x zSoMk|=<}{AsD7;PqkEnSN6J1N;wW}U?z>&r;ty#9snsB}ePuSd{upJ6^|wd2EoK*+ zbavDkG#rnAm;)aQch6C$6ary9wNGkv69WgLn zen9M~s0|smFS(4KWy0=LC9*neFVv`^N#srwhcvUJzooTuU~ZnzAtS;CY3D|6WP0*L zMbO6S615z-UzqE0s@W2+uR7^3q^P4qa=u+kU_MZce>*GFuMQ)d+FLUW8j#Ia|C{zj zCQQnQF0*qwm3wE`XD!&FM4_4eRyNm2cC7Od3dsR$*H08<-x7xeV!LQ&-LC* zS^(uw`rHs5l|mxvL^=xdd}y6JAvzKz2(ru5wBj{V_^q$}=#u*WdW@Nj#xZfQ8IQer z!&?)BNL234-pL2or*}nyNTh(?gC(lfLI)LtHjjx;?dQS0PdB-x6~QoTwb$nhmUj0p|oAozdWrkCffw^v?z=>F+t~3wBt; z`>4d~02iuheB8RumJ6~BERDYg?6Ht_aCl31Kd(3MZkQV8!+RBSUI7I$Q0~{{kt)27 zhGVQ*-upT6j;T+i?EFC#H*CBRx?l#O>t(NPGBV**m?BRtnI|3=$hp}0oFDpEK5axF z$cD*?6U5;b-Z-!HK}-t-fvKM>PP!)-gbp9!;h~Vl%Q@_A>dLD42A&@0K9&#NZZg|> zl%jZd7c~U3VoG!!UpZo5Gx6w=P6Il)BR0lnExEN+>hwT#z?NwQ0;m12gR76tOrTuFwYO z&tLi}CAFU1)~u?AZ`wyP5+3IRYu1tOFQXa|GMYwitfK>or4k-XZ5bf#dzn$7(HD0k z%cy=(X@kPqk$}NR8NlTq`R|mi2fFRuZq3@%0qWxBqt;I{faSEEteL16X4*1-)9btj z?lL3qj9fC{_`4pVRCjN5?Vav=^hgUDKHm5{u9*rBA_D82_x&-xRQATLkE)PBI8aA_ zG97#`4UD>f^TNBjmn!B8)S#07P5h(qR2aU0fTfwm2iI;oHPMuBOOeI0i2ch>g;SLm z73CBOsCmd?JFHp@T=&A{l;zSP*^x!NCeRPH+>;{)M#tm%+Xbtlxz-v_mP z7VX#jw7|J;<;69!RJhPg8)JXcAJ=2LX8Ah#!QgW^!8Bpj zu94YEmZw3}T3+3?4?ehbMk7h+f+46*URci$+~=_|?Ki&UzPPEKJ~_Mp{oL{~|1)CA z!1W|!&aTQIIV@y<1WU+6$(z6#mAX`DCTP)Uo%2STDcZ~D#+2dDVFl^V11T`~_~X0u zef{(Y6JJwz5 zBm#HD0}Z0X{%BxWDxJ5#=_d^L#)AmHw z$kGR`f4=7KV6}mp;(^;NJ0p1h`$3xfiDgvq;dMaQ-P1yq$fBh5}?^L=*L~~!*8P6-W9d-$lvtXlJ36*Xl2Z(cO3G< z<(-0**cVq|&|6>ivrIamBTML0ZFh8n=412!WFXS*g_1>gI!F=jpLad#fhn$Q5ATO- zgK*5ND(bcU{MFdq$W7seE8XI{$Nn0D=veCV(BVvY$Qs=Fq-#I_HkzrL^J{|k0=l z+jrRqeOjUi&4%~=$s+LcNOW4SwR6`DEH0TZc5)@aN~P-0bS6*yCnuItP+$wB zN2T<)%j4kY^oY6B z0j3xaG-dquMi&|Rl_%N4kReq&K0=%Txr^E>q`rQbz4{VSXvcpJ$ihqAbB=qFad4oB&hgEu z0MxfsN^(`CMq2HUZ`vQlfE;-dh26f+wbRe|`%vnyF z3?=yDvL;^RlmKD%>`d`r+)>W#kD^qy5>S#$%I8ZZz#(qR)O=+htZ01D@?KQ{C2ekJ zcuvIvizQiyjfxMpa27vixp*B-t4}uT|4asz==&xevmVGe7L*4(3_$RUfBDoj5vHck z7~b9_pz#(RB?q-IPB(fASe=iDVE3f7+zkTiu1_5O8qS2>Mn;mRuCZW!H*Wo|f;&o+ z2uhl7$Ybz?Y~fe>R2cF*VW4n`fI(_;-`}tDLD$IhobtqEuwi%8Um*6xdHJ^MUZ)gL z`{dVvWBG|NX72QtA`}h1-)A9Yt8xItI z>!p1(jvq`;&re)bP6j91OJ54Vcp!_{-$#Wd3dnY&kN+)O0-Ww;WMa!9U~+t20j2+6 zsVzx$?)A|3TnNQpR zDjpTV8yvyl`dzR^FFOv1t{ko8_;LdV87##^`WlBQo%uo#4!Cv-a< zgQ4%glp2A|Xc%oM*eMLihjPv5YPU`YKz~cn?FWTXP_sal-Tgclq+1<}8moN4;FDEX zbyy@E_%vALXOjcP@@46X174uVt75Sz7y(_M%njzavZ4J=gwvfv1VFbs$Dmk$&|emB z&S1)b@qp&ZJ9@_Ok7zRZ&5{@J#>@PaSWSh<^OdP@+c4r(NNerRRou>KfdeQ8w#9!CNpRH zqoG~y3C-F4md(E5b6(#p9N30U1LcFGL54r>V@*abTztQK^X#i|cpd-3ME!LnRGd5e z)VntiRvK4ESAxQUmoxOn3T+hp=h{JczNHWX%IV1JB*NiwmcmX&aU>`b|G1o@mk;?p z6&lJ$VIX9mCH{&x3g)LiH1s+bfW*Dm`Th$bV0PH(-g~_$@R>+BVI5uwx0N)QY)8Z4 zW?bk6n!CPGaUiwo42M4yjD#}mDFuL)@MXtx@er`fI4b{cIvOP3gw9iX2f^F^wIubk zvCvX&zx(o88oU%)WcqR{7z&w)d;*mt!PH(=EORvh&PLsfGFAx!(R>vsPaRZ*A_>%|M&sJ$c`;%{WTcdHM$Wy;e*pE z>KH$E@mk|2F4myV&lAo1|qJZvUr!(>d2ztau{YuLmmTja;zlYkOy+~PR#;hk? z<)on{F@6Ebt#WnB8S zp)M(-np8X-zN%a8J*u$)C;2RPV-p+jHwwbG=ny!$aypChxg|Kdb-O<6a)*NVO3{7% zz7X+ULy1q-0d`W-i*jO)AyJwuj=u~CJt@k?G!sLZ`0>z*`j7&ObG#tw{ul-=FP}Vp zbw(2;X!9dWtGvLcxs{kD+6{W8!?aGPy1`U4|7R%%0;~&}PDOJ|L;cCBvNH^xaPyjv zP0^ea4Ca40(ocIDZTt$aKQ1DGThm?9!CVc<+WID}I`4|qaVar;@4Vp~m$UjChJW2f zjPrMB+THG6xQx@QrDG9fho!&-|bN^aN7|k=uQFEErjjzw)gj z(dhS`@j@{I(Em5Guy@-MfFq~BDQBOLeGa-FSMdRss;O{JH5vF&S5NX^cocfQSRvs( z+o_yz4)BE72+#2(0=M zf7o21W}4zN4Vw>~^a-9fB=ZKNEWeo?^n%ih%%9ZGyThcj4DVYlU#N2n;A3O-hZH8A zACJ{6;IoVRRO!h8Al+bYSoJam?jisA_Z)%n`hav!|B^eLu>KdN=Ai;#X9bO3Z3V%j z9_kmq#WwJ|B(_W^CIFhp$C@UWD>(~j&iNOi#R+s0$y}+HhrlG$^ z8lR@CRrm_UVrrwEPQ$*xRne)3*j=~=lrqnb8SnEDFNv_TePs-sZ~As}z||6aZPs18 z1LLu0u}zPj%@??bpUWg(vBHI-%OpJiVz8L$s-3L8FO1}5U(KaZf~i8!KRFArcs$fI z#pil36y5C;TCdkZDhku2MfPN@oXU<>o(=>@CV{<>_i8Ze7!}qxPr$fJXPbHV7xQ>;sl3K3}|S=!Nf#e{1!9h{s@(zf1|=2=MTuHS<7@37W_( zCB&0uU~W(SQ@N1{xWz<7#MtYGLiOAOPSf(x(3tB}%4^=bSV3$GmMa?^r{kl`9o?i`v zwPCW0|B+MUq*P#N^F==V%xEG~dMFS?#}O-uyfgMB{1$8a5D7LUREw63 zp73NQh3xSMZ%{Q#y*FJ!0B?*T)nRjibe`d%qgUKO&m1d-=Dom{Zq?#NNe~bx2?o?} zhu{s#S4>W!(Quai-SIn3dQfsw-n(Zn8OhQL^rFaOU^Dym*2P*uRAX_9xu=kZYMpJ@ z6-}Z*>Ti7?@S` zvs%jl?LA((YbdMW5&3^t*1m{SSpsOYD6CfHIM2Y++Xrz z;;(Rj;x=aZx7@>iY9t((``(L-@g9u7FGK824JhOX8>)B$PQm=e!#PH9LkEO=Hwyaq^oUxgLOpg1~{& zeIHe&d`Lw4&ItvCpFUA_PXWFtOfgcS1vMuwCOA(*uNMURagu?eE z*3`ttxFuXG{btDll9D8|H_UuNI{fvu#T^Ss<$RYBlV=3Fr7LYQXFZ|z+Q9AL87)-W z7=M^GXAP(Oi~ns7`T%K`uunFtI(#B>NqK+A3e1+DWZj$af}JPJ2Ukit;Bnl+>NPVL zxPG8!yVAxT489p0b6#`E=gk;ExOY9QAdORkMDVU zq<*MK^2Ob@UKS{`la+tgMZt7-^3DQ901`dve_FJl1dN|@b215JY;lC=l4 zSA)Wj56RhWYvy>L}T%G#MS5W)_R9vD&d#pCyVg2(sIrKmlr z-1RmXjFr`s|9$mC`NXErbI*)%uFbVrJ|PG?ZM0kVH2m--RsFp>ZxK8_{Zk?0P7th5 zSGOsu`Xiaxv3Jw<5x5}7Ny$><3yPB`Kh|#gAXAlmZJ2el)FJEts`550@xrLwebW3W zINaINE?&osy{!7hY1j3zIrs`jkViq;i4W!XpIt?p+OLPCk7(l2(T1Y3eg71+t=cw} z8}I(`L~*q=+Z4lpyWc))6$J^A+Rb7KwrFo^*por$kJq{XQ)guefZKu5o7^_K_@W-C znWTI$t1hhZ@oo_GFOiHN6wpGN!^U;dg9JQHnAg5H7Ysgj=0#VCf{=%`BK+)kAFSjv znyJur1cO7hr;>s_vG@*aaIP2uvvj=VvWz{Ti}u`@ppH8pHc7a4c*qegB;q@-D0=|! zXV>vMh(Z3orc)1S3D{WPjiOufkWw^q#6dL@j|j&vextX+-Szg`hDm@4bsxzG0irnf z{K_Zo8@_m`@ix(6h=8}T7iIrWaYM9fJx{5nJ8G_^%6^EAfi$Y7Cv?^lV976JnP5Rc zxktmA9NjU{zo=2ZxG4zV6x3gkYk6SCLU3h{aWqU7rE1+=QG%NbOHqj}o~T)q(79#1 z-yhye4e7C}uvz{@_2E93&Tup({3jFzLCm@SYW_kdBbPhHTo?23loo~M6k zZA6f7i)Us&*&2Bkt%-Q&qJWcbjYmtF3%xua1fFHJN9vq^-FK6tfn?P9uEu68GA&OQ z3vK&iMaaQD=5|>)WDrq!@r^eo-nbPPxEqCML;l`A^2Z&Xvh;ru>kq~Xk{_+FF9)F{ zpFs8MS4;4HroKmW&k7$Mdqg*UO$oF5lzleh0^kRwKaZ2E6;3-zNF)whq4m2XyVt1+ zF#lV-MLJQx#PNq> zWNC@&K9A8xPHo#3&lrOx>@xxmRI~K6%xjXMTu+%M@Yz1YHDh zEQ$p-tH`05S*u@2SSD!c7yPaUw4|I& z-xp4nbDj1$6o=O&!@q_}`{Avg@*tm|ZV+@hhTC611xYrRzK*{M!0Nx}L~6I}U`D%5 z+rZEh8xP<7{k7i>o3|RC?1a1Q=ay^LVvi!R&X>*SqOdDY@F%j{W_kkA!G%5lB!84N zy4gFuy3a)?6F!6%`-0(;ll%a?HFl?yLh-*MD`ZRH^k8_5CKu{(b{RMp(*f~a1n5T*lj5k6$X}v+FTcT6q zx+pqN7tWs^I0#P}ZSI&0`a#Ifuitb8HMk)k^f+B52S1dms2}f0!L(Yj@sJnJpx3KEdUsn1Jp-AjMg;Y6EL+0raiJ4v zi*lM=TkwG!dlgAyTXD$R;$Fa?9tV<%<_$Xfj@T;}v0|{6iGe#FbHh_na3c9|zB-dT z4%r{Dlo+u@U(J-ZX%}z!@lss(D^(EO*SvbrPQ@3EjN2%D!lU8A?1B4a#Ex((z{mm8 zE~A%hMzUR7I8+#$9GcF}L}kaq>YS1!>{Ftz7MOGZWO&WRFCB_SbN36ZZM^XLXjtji zq8aS@GoLOQ(T2|MwPm@tB6x7tZ?a#^AJ&w=gtQN{Bdcy!`q-ob<{yb>yj0=|m)PMt z52+(AOg*DbQ*uHZ>Q(z&jrQPWWbYVuGYP#Ks%Hz_gD_S9^4-c5Q}9-6VP0gkgyxlr zf7$YSkk0EK^Y3Z|gq#sRzib87_ZU%4-qIY{3rGS0@$ zgJl(k&m%$Z#en5w+B9^2$8e)lDigQXzu(ikLI4U)K!*A|;G z5c`X9?@^jOoNgl;nC{O&2ZoO7`&)4^A~v1%o5v0YPfLrxDM-f)l@#2ZkN_uERUQP7 zXJLei1jARlSiJ8t71#CD8ftGStDdt72K9*XTc7A7@j>Du=lp|MSn;hCR6k6B2w%bc z=ssCk4I||{AQT4AIgXth^3p|>?-2Qklv7Y`D3LtTr~fB%S9s#es4#m8 zhEt2?Vxt;4U{fgj_Sc3T*q#dB==kLYty#OZUz>6uGiNZb*vt`hiDrA+C<8#5OXJvn zm;?fI=wrtw0$kk@)Gc`)1a}UXUHX1A16ruxjB}-X!HYTZ@-spHKr<*_wr86L>QoP9 z#Twk8`_F$z)~bEs9+inv?_4}wY)N1&&h?74=$9F$%C@9&@U$>`ZBS+&XO3#YZkZ*|_tMdHrm)iD7vI49IP z);ekdB-C^nhvRdRh$`npjamTq9Q7FbeZvbCI(0bf&gCNO&3BD++4g91VX2mZB_7X} zo=W}sI2T)3Re3IjE5d_!e~Qgn!=SFFgjw~AGxFR!IqMUsJ5!5?q@)5%4q+sAv&QoUj5gk{_xnf-p3`M&&zM-X`0M>~ur z{J~OIlKtc#T{zUyzMMCy4b4AUj(5)aL#JVIOG2PNOvQ@L9EdRliPw@8r#}b6@Z2*u zwAF*C?Y3n%7Bjg2{0N3BhQhhVdsi498N=0{FsqBU<^XXgJgP4Q0i~dt(=(emY&ow> z8mncG+pl=prrj0s%Hh;kGm>$LZ8weY70aM|IK`LlC`;sc6h1q2e4pQh`G@F-yztPX z>ChBEAC%ZG6VGx-BbTGKq+eMeQl(8Ug?A}K71L--Z$<>#>})>L&yPgKn1%9#u7)sk zML<7=D;ybSJXfwa#G#4Hj2xAiCHx|by};@jfdbzHHFeIWBR$Q`-tmW?@ZSqHjvF+g z*fMVUqi#D1%NeuJ1kpG{M6SRqpBG8k^HB2}!++U$(}9BB-q{!WJmh(-uEgTSG?lBK z)0s%Ew&KS?@PV#w-akZK`#L7!Y<@aq4c&B2QZF-u;A+U9D*ri2@Ke%hA1LsL-RuI6 z-Tw$U<{e-4q>vA+U1e<@ivpnb-;39_2Yj(#LyJA|!LHOj(Sd*G{%Ap$=+V!Pdl7Ii z>E|=ubZ6MQcjp0XtP?23Q!>xR`9aDUkppkAFWkRd8l6mI3V)g^TD5)$K|*z)YvILx z|2`jHuPkDXFX?o<9d1PcYDnCS;owJ>z>k~lx|*PJoO$V>O(aadUUhwttPcdcfaxwy zGl-2$O6VL3gF>fj_7(>L>x|Xh?-o?M9f<%A;_oa_ETf zrxgbB;rfyK6&*|z8}Z5yi-4C0u81w1zXm>^V`W`0dce?STbur8CiqD0Qdg|tS@dC+ z$kQVuz}VfuiuP>>{M$VC!UmMMkfh zKyP+kzF3$ds1cS)3uIkTi|;;p)I=os9ObLale5CbnlvR> z{c(!9uJ!yY&Jin9)|L_?Hv45DCHN?py3DR<85wOT<+_%sz z48)c(#tDkXIMmJ1xZD>6MqIjo@Ac9_!*JnNvX&{LFq^x4UKkj7hN!%+l!I@E8sW($ z=h3|Rou5i55<<#_%6*W`{zTTo-bELohzmdQ|zU1b7{tGzf;xODKB?ZbV-#ZCrsc>$VvOfQoClY-YO5#jW zfYAS>UXgR9L#pOi4ZTqU9^^U3)@F7M^jOaHRL5n&B#i!Yf9ruFNd|9%Bvp`Yd}$z~ zI3G3#`5u|LibB_9)dh)7N1%yOv-G=~4~kFhEICIUfIeq=fQ{P)$W0ktV$5?vRR=!FPYTN?brA{d^aHbPh<+*BTrc-S@e)`mJN6uCNgwK3V3P4gD=o(s^Soz}?|4 zOY%JekZV2`Ny;mNy5@`Q&y`)EO5qftmB|G@x}4IgiY~`W0|yoe4Xu*fFK1kIQYhAe$g z)T*{zW12Ap`{}m|M!jjUd;Mf!#1C)0NnY!n+_2AAOFE<1ek8-(s$)}4j1PXA%PXz9 z#Rcv0N7c%Fa^PHodgkO$TV$ZA-R7QGNB^2gar+;6aP0|~*UASr7<~%d>djWryHHRN zXqW+)R-QG@FgYUKk!{M@YG=4N#nrm0yNAjv^XUk{FrA7%76~UX zyZ=Srb0!5A!k()TF}UN0r<-h9;&jle^z=WbxLimnzi6nvYJeusSndCIoP*`{y~+#E zascH?2WM5R@r3%D{%lto5UKFm8TyzFCmb6^F3C7z3B#m1?Gqa~x?q(?xtIVH&*Z8H zk9%X=lRs{?O1fAQQaGsJkq^rnQ5v-m)!|GN&y?XSH+VrgBtSNt3Lf8XKT(|Xgu4SL ztH+!?;rI<|R!8MbP^L8{lH&A&3^{Y7I}tuGoVxY6QacB-DMAm`uX(~m0o{>}1Ag$^ zTPAC^gS94$LvE|E{=O*tg=laQY~V4(YBJh_>t!|HteKY3--A8ua79>x)10l?DQA?31tVDK}6He_elGA`y_= zv4?He9j-2pj$R$KhG4x-UV7DB_@LhKP+Qm-Ighs#3EbDggc%l*Yuow2Sxl%M{-Fhr z*L)nbW3JiyZ({%y%dnICtlX3Rl(MPycn6Xe6V76djCHAGLT8p>y>yq zf^V_4P~p=IIR2TnI?>+)JqM#3!e@20k3X`3GGXYub+a4haOPL9H#)$oq}qb* zS}tg~Uy%#ga>hxnONWgD1A*ZpyGZ%>0(krMRLYS8Ul6-DoAZ0pA9!Yi)B`IE;JBGb zu;#8ej43wUZRzucgY}6H10e+vZ)D*5>m31()2CU{ZF_@H|EHpiiUNoXx){yk<_L}P z&zg3{T;YiIj&q817SyagkaG|;gp*dw8I+!`@Wrw0+nPZJELQC0&}GZO{Y1t~M*S|3 zvfw*xF^~q7VNXa1^_TI=u=c_lw>>CY5vH5ICIN}7maO&Y{wNaOl(gzn!OPpxUz}p{ z!CUosq#>;|{A(CVbE8l~UB;{qO@Vwk>w7$pgM$N@f5d&yos>m2XX=0Q_wpe1s|NhN zCx?BqB#m*0tszVxWV)P?4Q{=`J8$n;VGPyD3ngY&z;ov0N#=wsz!LuH8>BWE*l9(# zrfvll)yKlFgk-|YOB^%jne0&b8J+NLcVeu4V0h1VFB!VSN-x>yc%YNT3~@`cFXS+l zsI#BS2OewE@Zb;*a9J^bX5H!uy^ZN2{U`GwjZw0lp;Z}Too{x_9`*pK4^$+TI{5&% zzOK9}V8N$nZ43j+RUn-z>@qWJ7MzznL{C5Jj*7xNyBQ~$ar~!;V$1IoAUpc;+G02X z&m3fQaLVRGVGXe`cF$O-Oc#Ak(ddq)TPZC&pQu1zadEkH&vLZLueNcaUz_F-+0un@YBb1rrp*i7i*%LZ{WPQH$piS5kWxa(G6ZG|C~EQw%Q7!yylmmP^G}j6EfA~*FEsq?Z=;fT3Ev{-<^)3*i`s- zQ<;54xV-bMAA^< zK`Di%`Wl%T$KJ9xmwT^qFW259tL%BNge1BN6;h&7I>;&|C8Dw`6)KcS^!NwP59f8x z=lyxp&YztN&4;c_mvc)jK0Mk*Z|C=13j*fY^^o!Q0_eWA5RiLb3d$L3lpleKs14emE`84$u#m1wJG3B&!) z`mclB@ze@6He-STk0Uw@f(C4X^A?X?)~E)Cq?6fv6?4G5^RnmmURO*GfP+G%Bur@6 zY2uvC0r^{!!kflzan;~=0V9H6>^T@7y;@1d(P-*NEhTMaZJ6jJt^eUHz=Y`Afy2k)<^27g zM?@07->tzuV#R>kJvM~jCsM>)PTAQYA6<%29iDsHp8z%H#Y^(a=j{kU}*>&Xv?otZ>D-w|g78)Uca!>14RD^t;DT#)XSV~lG&l2?jy z(?NG4nflt#AFq!lhc)-C_rr(&4p-E&VD<55?!|CVEauqIv2jonO;Wrsc^^%KV1vkF z@+~SJjJPfRWWX3t1_-K1cclVZptU>nxCh#a%N-N$vP9*(vBzisX2Qe`8mZiqhD*8a zeWOF`p3AK!<1dyC)mvw`cYdT`K-dE-6)8;=pT){IwrTKa<;s@4UH)jlCUjGpLm&Bb zoNoEA``znIvylEFPc%@TPl~NKLXv@wO^)!>^%N*K`)DuO>4|>+**5B* z%<-7XoRytGCVcPkmJEI8i_@1}MB8JIqI|z8i>Y}g@FnH#AaeU*Oxwy_Mur|cCspj2Y$%kWYD{ori~iT7d5zK(xCWp>$lSR}b~JsoV{ zeqdn!SrSAFEX2GDq9O}{_wxroGgNZ5H&QCffZ3FU7u=J6NM96IKb*NA45MU+hgZ_q z`&hUuw?zOR>#O~7gP@LE#2f@O#!{f-?oXekvjNySGDA-b)x46sYGlp5klw zMg^yAiqmxy^rple&9cn^bFzkHQ=2O;T;ij|^y%XBfWQaxewlDO=AFK;012anck;cZ zX`sW9iu{K+S>SZrounJ=hWeX*w9C1iQ7PKN_Re}fE1v%pWI1JzRtlxv3r|ImGG*qi zwU`EX+w@DU2{d$kC8BV0D;cBq1%*D~UeEJL>Hnp<*kfbB-XkvacBr@QMSE3VHk9f) zUZpE|;E?8%!jzwe__wrt@sL#}JSALDTeDmD@ojC9DelHNEcIKd)-eZMCMf(t+$22z ziM09H>qFS6`%7MYor8|bAG`>8{^(mix996WJ(O~}*;-ha2K-H0Yfr}3`7QVGcW1gf z8vc74{>M5UwmvQ`SPpZ;W~}+rnXZT!(j53{F&$Q7G%b9;kujRwdMUw|k)#L2wxy>SxpK9faxiHyO@*71Z4I!Nlf z-qy4hHMtXJ& zi#Bi!Oj+dxlF;SL#UDyObQpeoY5QS0Yb3i~{C_;~vo|V1Iv}!V*A1RX3=2 zJFbJ~3mohw|{t&uQIT&->3O4iZ@(rb`;sv2N0r3}caAbZe@m|b9 zl=6(*%2_y~w&vrf#5NxfQ(PBrNHZj1#EorU*F+amRdy^7@SlNysa_%r-}&+V&~J&e zRy3Gv&<`DX=>V>+4=VqP_&~bteruIjclf=!JM?vh76>yXyQS`j0X$hc>bcztGMjWc zrc+M9Yrkmbm)DVC6KVa@G|3LCWiEeQ{%r+c!k-Njzk~uwo6Wo8kPCE=ika&w5a4cu zv478}KseT2?#J0jgjQdz_MNOm2wqC#%oXql9izWNhr~R<#l})!>Y6*SkF8|#(y6fM zPmCC4QXx3+1U;LB3U)J}uFX95fXH{L)jqX&L>*{9fM zQhO3M>^l{Ak)8zX@8>S`Kk-6dGrpG|4K|RpKu%=sPXaTs?90AC*ZHW}&WJnj1Op+N zvBm4W*wVUXmNVNAnb*5_5#!~sZ?A{&PQ!TEFrpPY6B>-wT$cmGjtYX*&AC&4Z{wjR z;U7+$g(KJWneyGdx=^+=iX7XX09U(v;@;&(VvEMdIe{U@xdHwRk)d zCzJPBo?5kq=O>PD@BVNWSom)C+dT@$8h;zB_li#7q2tAUIXDRl3sQw!RfBLaHgW$6 zc`96Ls|;i87vB_P}&b8b00{4=JYg=VqAlz%*=q{ppGqE>)K? zFJ{4ZS0*eFH(~ zryj51`kXqxBmVgx7~rSL*s6Rh2&hWKQ=;CXkWy<(a;?f;_ue-fuGa@a%Lb1Baa<1s z(~CBNdsfcD^jUiu1Cv0I5-@Vaz+ez>R1Ap-%7??P^0~L$X+W*dX_=Yu0n(7GJV;jFl9>U!e?65{DV~(uQy*OKMVTMFyu=TuPQB%3#^0t(MbA7w38&giN<>go+;$ zjp89?Aak}xqW=m3IRhd}`wlq6HO13L`?Hv^y7w5jJc){{C!-AC2ROt1p+XwEmI5JN zo2!}WgC%iKzV`djV9~+6X;WA+q<{ISv$>gyi3_1SZ1x2Mw{}%se(wc%`61jZM3I1+ zaf7Fo+D+iw$L7_JxM;k8ipRfOJsd3Ycj($4OYqT{7=3pu5}R+-zqBNVf${$2wJ_U2 zsIa5#ER66*{+LU>f{8&8J<0puW)**ENYDS4{=^r#6jV(58iPRLZ5j1UlNVg|rQRUk z4?vIVin;~eU|`9i9RAcr25GKq9zoK<*d@1{R?*P3P-OfXcSpHd9nARH=dZPtx`G=0?9kIajQNN+93F!%49S)pRTOY{~iSu ztJ^kiIp_`zf4R!D{uhN#y#jR~G^5~jZ;0sLUlL$DtLdyM5QpUMuFcTPw$g{ z3Yg38-DLhb9BETm>Tf_Klt%sXwNO=BpME?1i)1Y3Pl~gPN=L#kiT6k9b7^o_jCOdh zR46*n?z)&X91a`4ag=4A^any=3RAr#5M#r-mFBmFfnr9Ga&&zF{6|#!OX2cIm%9U@ zqSGM|qNn4r#V-iDUWACw)O+Hw(YQ1g-(YYV^SZ@xE(p%D-BOqnrl3)GqQzUmU|3lZ z>-UWgf`Up{!f`7qUYR7{p)rF%!i~C`Q0D;rZ?D@ZY>7b?Ndu3^`q8lZN?E>8IS77c zI~uO3QPH?clv}SQ82%4XO928c11$gm00;m803iS_!dop{u>=6%<^%u*0000000000 n0001h0RR9107NcsaCuNm1qJ{B000310RS@q005G)1ONa4eT02V literal 0 HcmV?d00001 diff --git a/third_party/UO_Model3D_v13/pipeline/body_shape_fit.py b/third_party/UO_Model3D_v13/pipeline/body_shape_fit.py new file mode 100644 index 0000000..b2b7f1b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_shape_fit.py @@ -0,0 +1,155 @@ +"""Silhouette-driven refinement of the REST shape of the body (displacement D of the rest vertices, shared by all frames). + + python body_shape_fit.py pose.npz --out D.npz [--iters 4] [--lam 30] [--mu 1] [--holdout 5] + +Poses stay as they are. For every frame the contour vertices of the model (projected within 1 px of the model silhouette, facing sideways) +are compared with the sprite silhouette: signed distance s (px) of the vertex to the sprite contour. Each (vertex, frame) gives one linear +constraint on the rest displacement d_v: g . d_v = -s with g = A^T J^T n (A: skinning linear part, J: camera Jacobian, n: 2D outward normal). +The per-vertex normal equations are solved together with a mesh-Laplacian smoothness + small-norm prior (sparse solve). Frames of the +hold-out actions (action % holdout == 2) are not used for the fit and only scored. Needs numpy, scipy, pillow. +""" +import argparse, sys, time +import numpy as np +import scipy.sparse as sp +import scipy.sparse.linalg as spl +from scipy.ndimage import distance_transform_edt, map_coordinates +import body_shape_lib as L + + +def signed_dist(m): + """signed distance (px) from pixel centres to the contour of mask m (positive outside)""" + if not m.any(): + return np.full(m.shape, 50.0) + return np.where(m, -(distance_transform_edt(m) - 0.5), distance_transform_edt(~m) - 0.5) + + +def vertex_normals(X, tris): + n = np.cross(X[tris[:, 1]] - X[tris[:, 0]], X[tris[:, 2]] - X[tris[:, 0]]) + out = np.zeros_like(X) + for k in range(3): + np.add.at(out, tris[:, k], n) + return out / np.maximum(np.linalg.norm(out, axis=1, keepdims=True), 1e-12) + + +def laplacian(N, tris, rest=None, floor=0.005): + """graph Laplacian; with `rest` the edges are weighted 1/length (floor 5 mm): short edges (eyes, mouth, fingers) hold their vertices together""" + E = np.sort(np.concatenate([tris[:, [0, 1]], tris[:, [1, 2]], tris[:, [2, 0]]]), 1) + E = np.unique(E, axis=0) + w = np.ones(len(E)) if rest is None else 0.02 / np.maximum(np.linalg.norm(rest[E[:, 0]] - rest[E[:, 1]], axis=1), floor) + A = sp.coo_matrix((w, (E[:, 0], E[:, 1])), shape=(N, N)); A = A + A.T + return sp.diags(np.asarray(A.sum(1)).ravel()) - A + + +def mesh_report(S, D): + """rest mesh quality after D: flipped faces and edge-length ratio percentiles""" + t, r0, r1 = S.tris, S.rest, S.rest + D + fn = lambda X: (lambda n: n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12))(np.cross(X[t[:, 1]] - X[t[:, 0]], X[t[:, 2]] - X[t[:, 0]])) + flips = int(((fn(r0) * fn(r1)).sum(1) < 0).sum()) + E = np.unique(np.sort(np.concatenate([t[:, [0, 1]], t[:, [1, 2]], t[:, [2, 0]]]), 1), axis=0) + ratio = np.linalg.norm(r1[E[:, 0]] - r1[E[:, 1]], axis=1) / np.maximum(np.linalg.norm(r0[E[:, 0]] - r0[E[:, 1]], axis=1), 1e-9) + return flips, np.percentile(ratio, [0, 1, 99, 100]) + + +def repair_flips(S, D, passes=12): + """halve the displacement of the vertices of faces that the displacement flips (thumb, toes: tiny faces), until none is left""" + t, r0 = S.tris, S.rest + fn = lambda X: (lambda n: n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12))(np.cross(X[t[:, 1]] - X[t[:, 0]], X[t[:, 2]] - X[t[:, 0]])) + n0 = fn(r0); D = D.copy() + for _ in range(passes): + bad = np.nonzero((n0 * fn(r0 + D)).sum(1) < 0.1)[0] + if not len(bad): + break + D[np.unique(t[bad])] *= 0.5 + return D + + +def constraints(S, D, frames, clip=2.0, band=1.0, side=0.6, verbose=False): + """normal equations H (N,3,3), b (N,3) from the contour vertices of `frames`""" + H = np.zeros((S.N, 3, 3)); b = np.zeros((S.N, 3)); cnt = np.zeros(S.N) + for f in frames: + m, lab, depth, X, xy, z = L.model_mask(S, f, D) + smd = signed_dist(m); sdg = signed_dist(S.G[f]) + pc = np.stack([xy[:, 1] - 0.5, xy[:, 0] - 0.5]) # map_coordinates wants (row, col) in pixel-centre index space + s_m = map_coordinates(smd, pc, order=1, mode="nearest"); s_g = map_coordinates(sdg, pc, order=1, mode="nearest") + ix = np.clip(xy[:, 0].astype(int), 0, S.CW - 1); iy = np.clip(xy[:, 1].astype(int), 0, S.CH - 1) + vis = z <= depth[iy, ix] + 0.03 + if S.hm[f].any(): # near the horse the contour is the horse's, not the body's + from scipy.ndimage import binary_dilation + vis &= ~binary_dilation(S.hm[f], iterations=2)[iy, ix] + Xn = vertex_normals(X, S.tris) + # camera forward axis in body-local space: nz = normal . view + T = S.Vm @ S.MW[f]; view = np.linalg.inv(T)[:3, :3] @ np.array([0, 0, 1.0]) + nz = np.abs(Xn @ view) / np.linalg.norm(view) + sel = vis & (np.abs(s_m) < band) & (nz < side) & (np.abs(s_g) < 6) + if not sel.any(): + continue + idx = np.nonzero(sel)[0] + # 2D outward normal from the gradient of the model sdf + gy, gx = np.gradient(smd) + ny = map_coordinates(gy, pc[:, idx], order=1, mode="nearest"); nx = map_coordinates(gx, pc[:, idx], order=1, mode="nearest") + nn = np.hypot(nx, ny); good = nn > 1e-6 + idx, nx, ny, nn = idx[good], nx[good], ny[good], nn[good] + n2 = np.stack([nx, ny], 1) / nn[:, None] + # Jacobian of pixel position wrt body-local position: orthographic -> constant 2x3 (take it from the projection matrix) + Pt = (S.Pm @ S.Vm @ S.MW[f])[:2, :3]; Pw = (S.Pm @ S.Vm @ S.MW[f])[3, :3] + # orthographic: w = 1, so xy = ((Pt X + t)+1)/2 * (CW, -CH) ... + J = np.stack([Pt[0] * 0.5 * S.CW, -Pt[1] * 0.5 * S.CH]) # (2,3) px per metre of body-local displacement + A = S.linear(f)[idx] # (n,3,3) + g = np.einsum("nk,ki,nij->nj", n2, J, A) # (n,3): px of contour shift per metre of rest displacement + t = -np.clip(s_g[idx] - s_m[idx], -clip, clip) # outward shift (px) that moves the model contour onto the sprite contour + w = 1.0 + H[idx] += w * g[:, :, None] * g[:, None, :]; b[idx] += w * (g * (t + np.einsum("nj,nj->n", g, D[idx]))[:, None]) + cnt[idx] += 1 + return H, b, cnt + + +def solve_normal(S, H, b, lam, mu, Lap, n): + """displacement along the rest normal only: d_v = s_v n_v, scalar field s (a mesh can't tear or fold much when vertices only slide out / in)""" + Hs = np.einsum("ni,nij,nj->n", n, H, n); bs = np.einsum("ni,ni->n", n, b) + s = spl.spsolve((sp.diags(Hs) + lam * Lap + mu * sp.identity(S.N)).tocsc(), bs) + return s[:, None] * n + + +def solve(S, H, b, lam, mu, Lap, bilap=False): + N = S.N + cols = np.repeat(np.arange(3 * N).reshape(N, 3)[:, None, :], 3, 1).ravel() + rows = np.repeat(np.arange(3 * N).reshape(N, 3)[:, :, None], 3, 2).ravel() + Hs = sp.coo_matrix((H.ravel(), (rows, cols)), shape=(3 * N, 3 * N)).tocsc() + Lm = (Lap.T @ Lap) / 8.0 if bilap else Lap # bilap: penalises the roughness of D (bending), /8 ~ mean degree^2/... scale + K = sp.kron(Lm, sp.identity(3)).tocsc() + Aff = Hs + lam * K + mu * sp.identity(3 * N) + return spl.spsolve(Aff.tocsc(), b.ravel()).reshape(N, 3) + + +def main(): + ap = argparse.ArgumentParser(); ap.add_argument("pose"); ap.add_argument("--out"); ap.add_argument("--iters", type=int, default=3) + ap.add_argument("--lam", type=float, default=30.0); ap.add_argument("--mu", type=float, default=1.0); ap.add_argument("--holdout", type=int, default=5) + ap.add_argument("--weighted", action="store_true", help="edge weights 1/length in the smoothness term"); ap.add_argument("--bilap", action="store_true"); ap.add_argument("--normal", action="store_true", help="displace along the rest normal only"); ap.add_argument("--holdout-dir", type=int, default=-1); ap.add_argument("--clip", type=float, default=2.0); ap.add_argument("--maxd", type=float, default=0.04) + a = ap.parse_args() + S = L.Scene(a.pose); Lap = laplacian(S.N, S.tris, S.rest if a.weighted else None); RN = vertex_normals(S.rest, S.tris) + act = S.key[:, 0] + hk = (act % a.holdout == 2) if a.holdout > 0 else np.zeros(len(act), bool) + test = np.nonzero(S.ok & hk)[0]; train = np.nonzero(S.ok & ~hk)[0] + if a.holdout_dir >= 0: # stricter test: a whole direction (a view never used by the fit) + test = np.nonzero(S.ok & (S.key[:, 1] == a.holdout_dir))[0]; train = np.nonzero(S.ok & (S.key[:, 1] != a.holdout_dir))[0] + if a.holdout <= 0: # final fit: all frames (the 'test' numbers are then in-sample) + test = train + D = np.zeros((S.N, 3)) + r0 = L.score(S, D, test); r1 = L.score(S, D, train) + print("start: train IoU %.4f test IoU %.4f" % (r1["iou"], r0["iou"]), flush=True) + for it in range(a.iters): + t0 = time.time() + H, b, cnt = constraints(S, D, train, clip=a.clip) + Dn = solve_normal(S, H, b, a.lam, a.mu, Lap, RN) if a.normal else solve(S, H, b, a.lam, a.mu, Lap, a.bilap) + nrm = np.linalg.norm(Dn, axis=1); sc = np.minimum(1.0, a.maxd / np.maximum(nrm, 1e-12)); D = repair_flips(S, Dn * sc[:, None]) + r0 = L.score(S, D, test); r1 = L.score(S, D, train) + print("iter %d: constrained verts %d |D| mean %.4f max %.4f m train IoU %.4f (out %.1f miss %.1f) test IoU %.4f (out %.1f miss %.1f) %.0fs" % + (it, (cnt > 0).sum(), nrm.mean(), nrm.max(), r1["iou"], r1["outside"], r1["missing"], r0["iou"], r0["outside"], r0["missing"], time.time() - t0), flush=True) + fl, er = mesh_report(S, D) + print(" mesh: flipped faces %d edge ratio min %.2f p1 %.2f p99 %.2f max %.2f" % ((fl,) + tuple(er)), flush=True) + if a.out: + np.savez_compressed(a.out, D=D) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/body_shape_lib.py b/third_party/UO_Model3D_v13/pipeline/body_shape_lib.py new file mode 100644 index 0000000..e97aa8f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_shape_lib.py @@ -0,0 +1,115 @@ +"""Offline (numpy-only) body evaluation: skinning, rasteriser and silhouette scores from the data of body_pose_export.py. + + import body_shape_lib as L + S = L.Scene("pose.npz"); D = np.zeros((S.N, 3)) # D: displacement of the REST vertices (m) + print(L.score(S, D)) # mean IoU etc. over the 1050 frames + +All geometry is in the canvas of the original UO frames (145x133, anchor (75,92), 36 px/m). +""" +import json, os +import numpy as np +from PIL import Image +from scipy.ndimage import distance_transform_edt + +HERE = os.path.dirname(os.path.abspath(__file__)) +ORIG = os.path.join(HERE, "..", "client", "body_0x190_frames") + + +def sprite_masks(keys): + meta = json.load(open(os.path.join(ORIG, "meta.json"))); W, H = meta["canvas"]; out = {} + for blk in meta["blocks"]: + act = "%02d_%s" % (blk["action"], blk["name"]) + for i, fr in enumerate(blk["frames"]): + p = os.path.join(ORIG, "frames", act, "dir%d" % blk["dir"], fr["file"]) + out[(blk["action"], blk["dir"], i)] = np.array(Image.open(p).convert("RGBA"))[..., 3] > 0 if os.path.exists(p) else np.zeros((H, W), bool) + return np.array([out[tuple(k)] for k in keys]) + + +class Scene: + def __init__(self, npz): + d = np.load(npz) + self.rest, self.wi, self.ww, self.tris = d["rest"], d["wi"], d["ww"], d["tris"] + self.M = d["M"].astype(np.float64); self.MW = d["MW"]; self.key = d["key"] + self.Pm, self.Vm = d["Pm"], d["Vm"]; self.CW, self.CH = [int(x) for x in d["canvas"]] + self.hd, self.hm = d["horse_depth"], d["horse_mask"]; self.bones = [str(b) for b in d["bones"]] + self.N, self.F = len(self.rest), len(self.key) + self.resid = {} + if "resid_idx" in d.files: # Blender's evaluated mesh minus plain LBS (sparse), see body_pose_export.py + fr, ix, vl = d["resid_frame"], d["resid_idx"], d["resid_val"] + for f in np.unique(fr): + k = fr == f; self.resid[int(f)] = (ix[k], vl[k].astype(np.float64)) + self.G = sprite_masks(self.key) + self.ok = self.G.any((1, 2)) + # camera: world -> pixel (x, y) and depth, as a 3x4 matrix per frame (body-local -> pixel through skinning is applied first) + self.VP = [] + for f in range(self.F): + T = self.Pm @ self.Vm @ self.MW[f] + self.VP.append(T) + self.VP = np.array(self.VP) + + def posed(self, f, D=None, rest=None): + """body-local posed vertices of frame f (LBS of rest (+D))""" + R = self.rest if rest is None else rest + if D is not None: + R = R + D + R4 = np.c_[R, np.ones(len(R))] + Mb = self.M[f][self.wi] # (N,K,4,4) + X = np.einsum("nkij,nj->nki", Mb, R4)[..., :3] + X = (X * self.ww[..., None]).sum(1) + if f in self.resid: + X = X.copy(); X[self.resid[f][0]] += self.resid[f][1] + return X + + def linear(self, f): + """3x3 linear part of the skinning at every vertex: posed displacement = A @ rest displacement""" + return np.einsum("nk,nkij->nij", self.ww, self.M[f][self.wi][..., :3, :3]) + + def project(self, f, X): + """pixel xy (N,2) and camera depth (N,) of body-local points""" + hv = np.c_[X, np.ones(len(X))] @ self.VP[f].T + # VP = Pm @ Vm @ MW: homogeneous clip coordinates + ndc = hv[:, :2] / hv[:, 3:4] + xy = np.stack([(ndc[:, 0] + 1) * 0.5 * self.CW, (1 - ndc[:, 1]) * 0.5 * self.CH], 1) + z = -(np.c_[X, np.ones(len(X))] @ (self.Vm @ self.MW[f]).T)[:, 2] + return xy, z + + +def raster(xy, z, tris, CW, CH, label=None): + """nearest-triangle label (default: triangle index) and depth per pixel, pixel-centre rule. Returns (label (H,W) int32 (-1 empty), depth)""" + P = xy[tris]; Z = z[tris] + lab = np.full((CH, CW), -1, np.int32); depth = np.full((CH, CW), np.inf) + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + A, B, C = P[:, 0], P[:, 1], P[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + lt = np.arange(len(tris)) if label is None else label + for dy in range(int(size[:, 1].max(initial=0)) + 1): + for dx in range(int(size[:, 0].max(initial=0)) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px_ = mn[t, 0] + dx; py_ = mn[t, 1] + dy; cx, cy = px_ + 0.5, py_ + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + kk = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px_ >= 0) & (py_ >= 0) & (px_ < CW) & (py_ < CH) + zz = l0[kk] * Z[t[kk], 0] + l1[kk] * Z[t[kk], 1] + (1 - l0[kk] - l1[kk]) * Z[t[kk], 2] + tt, yy, xx = t[kk], py_[kk], px_[kk] + o = np.argsort(-zz); o = o[zz[o] < depth[yy[o], xx[o]]] + depth[yy[o], xx[o]] = zz[o]; lab[yy[o], xx[o]] = lt[tt[o]] + return lab, depth + + +def model_mask(S, f, D=None, rest=None): + X = S.posed(f, D, rest); xy, z = S.project(f, X) + lab, depth = raster(xy, z, S.tris, S.CW, S.CH) + m = lab >= 0 + hide = S.hm[f] & (S.hd[f] < depth) + m &= ~hide + return m, lab, depth, X, xy, z + + +def score(S, D=None, frames=None, rest=None): + fr = np.nonzero(S.ok)[0] if frames is None else np.asarray(frames) + iou = np.zeros(len(fr)); out = np.zeros(len(fr)); miss = np.zeros(len(fr)) + for n, f in enumerate(fr): + m = model_mask(S, f, D, rest)[0]; g = S.G[f] + iou[n] = (m & g).sum() / max((m | g).sum(), 1); out[n] = (m & ~g).sum(); miss[n] = (g & ~m).sum() + return dict(iou=float(iou.mean()), outside=float(out.mean()), missing=float(miss.mean()), per_frame=iou) diff --git a/third_party/UO_Model3D_v13/pipeline/body_shape_overlay.py b/third_party/UO_Model3D_v13/pipeline/body_shape_overlay.py new file mode 100644 index 0000000..ca13c83 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_shape_overlay.py @@ -0,0 +1,21 @@ +"""Overlay PNG: model silhouette before / after a rest-shape displacement D against the sprite (grey = both, red = sprite only, blue = model only). + + python body_shape_overlay.py pose.npz D.npz OUT.png [a,d,i ...] e.g. 9,1,2 21,3,0 +""" +import sys +import numpy as np +from PIL import Image +import body_shape_lib as L + +S = L.Scene(sys.argv[1]); D = np.load(sys.argv[2])["D"]; out = sys.argv[3] +want = [tuple(int(x) for x in a.split(",")) for a in sys.argv[4:]] or [(4, 0, 0), (9, 1, 2), (17, 2, 3), (21, 3, 2), (0, 4, 1)] +idx = {tuple(k): j for j, k in enumerate(S.key)} +rows = [] +for k in want: + f = idx[k]; g = S.G[f]; tiles = [] + for DD in (None, D): + m = L.model_mask(S, f, DD)[0] + im = np.zeros(g.shape + (3,), np.uint8); im[g & m] = (200, 200, 200); im[g & ~m] = (255, 40, 40); im[m & ~g] = (60, 90, 255) + tiles.append(im) + rows.append(np.hstack(tiles)) +Image.fromarray(np.vstack(rows)).resize((rows[0].shape[1] * 4, sum(r.shape[0] for r in rows) * 4), Image.NEAREST).save(out) diff --git a/third_party/UO_Model3D_v13/pipeline/body_silhouette_qa.py b/third_party/UO_Model3D_v13/pipeline/body_silhouette_qa.py new file mode 100644 index 0000000..c36b9b6 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body_silhouette_qa.py @@ -0,0 +1,58 @@ +"""Body QA: silhouette of the pure 3D body (render with EXACT_BODY=False, EXACT_COLORS=False, 136x120 / (68,86)) against the original UO +body frames (client/body_0x190_frames, canvas 145x133, anchor (75,92)). + + python run_render_headless.py ../model/UO_Body_0x190.blend OUT LAYER='"body"' EXACT_BODY=False EXACT_COLORS=False CANVAS='(136,120)' ANCHOR='(68,86)' + python body_silhouette_qa.py OUT/body/frames [--out ../docs/qa/body_silhouette.json] [--bias bias.png] + +Per action / direction: IoU, area ratio (render / original: > 1 = our body is fatter), `outside` (render only) and `missing` (original only) pixels. +The signed bias map (red = we have extra, blue = we miss) is summed over all frames, in anchor coordinates. +""" +import argparse, json, os, sys +import numpy as np +from PIL import Image + +HERE = os.path.dirname(os.path.abspath(__file__)) +ORIG = os.path.join(HERE, "..", "client", "body_0x190_frames") +OANCH, RANCH = (75, 92), (68, 86) + + +def load(p, size): + return np.array(Image.open(p).convert("RGBA"))[..., 3] > 0 if os.path.exists(p) else np.zeros(size[::-1], bool) + + +def main(): + ap = argparse.ArgumentParser(); ap.add_argument("frames"); ap.add_argument("--out"); ap.add_argument("--bias") + a = ap.parse_args() + meta = json.load(open(os.path.join(ORIG, "meta.json"))) + W, H = meta["canvas"] + rows, bias = [], np.zeros((H, W, 2)) + for blk in meta["blocks"]: + act = "%02d_%s" % (blk["action"], blk["name"]) + for i, fr in enumerate(blk["frames"]): + g = load(os.path.join(ORIG, "frames", act, "dir%d" % blk["dir"], fr["file"]), (W, H)) + r = np.zeros((H, W), bool) + R = load(os.path.join(a.frames, act, "dir%d" % blk["dir"], "%02d.png" % i), (136, 120)) + dx, dy = OANCH[0] - RANCH[0], OANCH[1] - RANCH[1] + r[dy:dy + 120, dx:dx + 136] = R[:H - dy, :W - dx] if R.shape == (120, 136) else R[:120, :136] + if not g.any(): + continue + rows.append(dict(a=blk["action"], d=blk["dir"], i=i, iou=float((r & g).sum() / max((r | g).sum(), 1)), ratio=float(r.sum() / g.sum()), + outside=int((r & ~g).sum()), missing=int((g & ~r).sum()))) + bias[..., 0] += r & ~g; bias[..., 1] += g & ~r + f = lambda k, rs=rows: float(np.mean([x[k] for x in rs])) + out = dict(frames=len(rows), iou=f("iou"), ratio=f("ratio"), outside=f("outside"), missing=f("missing"), + by_action={str(x): float(np.mean([r["iou"] for r in rows if r["a"] == x])) for x in sorted({r["a"] for r in rows})}, + by_dir={str(x): float(np.mean([r["iou"] for r in rows if r["d"] == x])) for x in range(5)}) + print("frames %d IoU %.3f area ratio %.3f outside %.1f missing %.1f" % (out["frames"], out["iou"], out["ratio"], out["outside"], out["missing"])) + print("by dir:", {k: round(v, 3) for k, v in out["by_dir"].items()}) + print("worst actions:", sorted(((round(v, 3), k) for k, v in out["by_action"].items()))[:6]) + if a.out: + os.makedirs(os.path.dirname(os.path.abspath(a.out)), exist_ok=True); json.dump(out, open(a.out, "w"), indent=1) + if a.bias: + m = bias.max() or 1; im = np.zeros((H, W, 3), np.uint8) + 20 + im[..., 0] = np.clip(20 + 235 * bias[..., 0] / m, 0, 255); im[..., 2] = np.clip(20 + 235 * bias[..., 1] / m, 0, 255) + Image.fromarray(im).resize((W * 4, H * 4), Image.NEAREST).save(a.bias) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/bpy_compat.py b/third_party/UO_Model3D_v13/pipeline/bpy_compat.py new file mode 100644 index 0000000..6131d15 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/bpy_compat.py @@ -0,0 +1,61 @@ +"""Blender version differences used by the pipeline scripts (4.2 ... 5.2). + + from bpy_compat import action_fcurves, find_fcurve, clear_fcurves, new_fcurve, eevee_engine + +Blender 5.0 removed the direct Action.fcurves (an action has slots, layers and strips now: the curves of a slot live in a +"channelbag"). The helpers give the same code one answer on both sides of that change. Blender 5.0 also renamed the engine +'BLENDER_EEVEE_NEXT' back to 'BLENDER_EEVEE'. +""" +import bpy + + +def _bags(action, create=False): + """channelbags of an action in 5.x (one per slot); create=True makes slot / layer / strip when the action is empty""" + if create: + if not action.slots: + action.slots.new(id_type="OBJECT", name="Legacy Slot") + if not action.layers: + action.layers.new("Layer") + layer = action.layers[0] + if not layer.strips: + layer.strips.new(type="KEYFRAME") + strip = layer.strips[0] + return [strip.channelbag(action.slots[0], ensure=True)] + return [cb for layer in action.layers for strip in layer.strips if strip.type == "KEYFRAME" for cb in strip.channelbags] + + +def action_fcurves(action): + """list of all F-curves of the action (a live collection before 5.0, a list of the channelbag curves from 5.0)""" + if hasattr(action, "fcurves"): + return action.fcurves + return [fc for cb in _bags(action) for fc in cb.fcurves] + + +def find_fcurve(action, data_path, index=0): + for fc in action_fcurves(action): + if fc.data_path == data_path and fc.array_index == index: + return fc + return None + + +def clear_fcurves(action, data_path=None): + """remove every F-curve of the action (or only those with the given data path)""" + if hasattr(action, "fcurves"): + for fc in [fc for fc in action.fcurves if data_path is None or fc.data_path == data_path]: + action.fcurves.remove(fc) + return + for cb in _bags(action): + for fc in [fc for fc in cb.fcurves if data_path is None or fc.data_path == data_path]: + cb.fcurves.remove(fc) + + +def new_fcurve(action, data_path, index=0): + if hasattr(action, "fcurves"): + return action.fcurves.new(data_path, index=index) + return _bags(action, create=True)[0].fcurves.new(data_path, index=index) + + +def eevee_engine(): + """identifier of the EEVEE render engine of this Blender""" + ids = [e.identifier for e in bpy.types.RenderSettings.bl_rna.properties["engine"].enum_items] + return "BLENDER_EEVEE_NEXT" if "BLENDER_EEVEE_NEXT" in ids else "BLENDER_EEVEE" diff --git a/third_party/UO_Model3D_v13/pipeline/build.py b/third_party/UO_Model3D_v13/pipeline/build.py new file mode 100644 index 0000000..e8566bc --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/build.py @@ -0,0 +1,231 @@ +"""Assemble the final Blender scene: mesh, rig, weights, UVs, projected texture, actions, UO camera; save + export.""" +import os, sys, math, pickle +import numpy as np +import bpy +from mathutils import Vector, Matrix +import jax.numpy as jnp + +from body import fk, zero_pose, JI, NJ, CANVAS_W, CANVAS_H, ANCHOR_X, ANCHOR_Y +from fit import params_to_shape, pose_from_params +from basemesh import build_base_mesh, symmetrize +from rig import build_armature, apply_pose +from texbake import bake, pull_push_fill +from targets import targets +from vd import ACTIONS_PEOPLE +from bpy_compat import eevee_engine + +OUT = sys.argv[sys.argv.index("--out") + 1] if "--out" in sys.argv else "out" +os.makedirs(OUT, exist_ok=True) +FPS, STEP = 24, 3 # one UO frame every 3 scene frames (8 UO frames / s) + +bpy.ops.wm.read_factory_settings(use_empty=True) +bpy.context.preferences.filepaths.save_version = 0 +sc = bpy.context.scene +sc.render.fps = FPS + +SHAPE = sys.argv[sys.argv.index("--shape") + 1] if "--shape" in sys.argv else "shape_fit.pkl" +sf = pickle.load(open(SHAPE, "rb")) +fixed = {k: jnp.asarray(v) for k, v in sf["fixed"].items()} +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, fixed) +Snp = {k: np.asarray(v, np.float64) for k, v in S.items()} +anim = pickle.load(open("anim_fit.pkl", "rb")) if os.path.exists("anim_fit.pkl") and "--no-anim" not in sys.argv else {} +stand_pp = {k: v[0] for k, v in anim[4]["poses"].items()} if 4 in anim else \ + {k: v[0] for k, v in sf["params"]["poses"].items()} + +# ------------------------------------------------------------------ mesh +v, faces, parts, P = build_base_mesh(S, subdiv=2) +v, mirror, ok = symmetrize(v) +mirror = np.where(ok, mirror, np.arange(len(v))) +me = bpy.data.meshes.new("UO_Body") +me.from_pydata(v.tolist(), [], faces) +me.update() +me.use_mirror_x = True +for p in me.polygons: + p.use_smooth = True +body = bpy.data.objects.new("UO_Body", me) +sc.collection.objects.link(body) + +# ------------------------------------------------------------------ rig + weights +arm, bone_joint = build_armature(S, np.asarray(P)) +bpy.ops.object.select_all(action="DESELECT") +body.select_set(True); arm.select_set(True) +bpy.context.view_layer.objects.active = arm +bpy.ops.object.parent_set(type="ARMATURE_AUTO") +arm["uo_body_id"] = 0x190 + +# ------------------------------------------------------------------ UVs +bpy.ops.object.select_all(action="DESELECT") +bpy.context.view_layer.objects.active = body +body.select_set(True) +bpy.ops.object.mode_set(mode="EDIT") +bpy.ops.mesh.select_all(action="SELECT") +bpy.ops.uv.smart_project(angle_limit=math.radians(60), island_margin=0.006, scale_to_bounds=False) +bpy.ops.object.mode_set(mode="OBJECT") + +# ------------------------------------------------------------------ texture projection (stand pose) +def posed_vertices(rot, trans): + apply_pose(arm, bone_joint, rot, trans) + bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get() + ev = body.evaluated_get(dg) + m = ev.to_mesh() + out = np.array([x.co[:] for x in m.vertices]) + ev.to_mesh_clear() + return out + +pose = pose_from_params({k: jnp.asarray(v_) for k, v_ in stand_pp.items()}) +posed = posed_vertices(np.asarray(pose["rot"]), np.asarray(pose["trans"])) +loops_v = np.zeros(len(me.loops), np.int64); me.loops.foreach_get("vertex_index", loops_v) +uv = np.zeros(len(me.loops) * 2); me.uv_layers.active.data.foreach_get("uv", uv); uv = uv.reshape(-1, 2) +tris, tri_uv = [], [] +for poly in me.polygons: + ls = list(poly.loop_indices) + for k in range(1, len(ls) - 1): + tri = [ls[0], ls[k], ls[k + 1]] + tris.append(loops_v[tri]); tri_uv.append(uv[tri]) +tris = np.array(tris); tri_uv = np.array(tri_uv) +spr = [s for s in targets(4)[0]] +TEX = 1024 +tex, wt, cover = bake(tris, tri_uv, posed, mirror, spr, float(Snp["theta"]), float(Snp["scale"]), size=TEX) +print("texture coverage: %.1f%% of UV area" % (100 * wt[cover].mean())) +filled = pull_push_fill(tex, wt) +SKIN_RAMP = [(0.0, (0.10, 0.06, 0.04)), (0.45, (0.55, 0.37, 0.27)), (0.8, (0.93, 0.74, 0.60)), (1.0, (1.0, 0.90, 0.80))] + + +def apply_partial_hue(rgb): + """UO 'partial hue': grey pixels are recoloured by the hue ramp, coloured pixels (loincloth) kept.""" + g = rgb.mean(-1) + sat = (rgb.max(-1) - rgb.min(-1)) / np.maximum(rgb.max(-1), 1e-6) + xs = [p for p, _ in SKIN_RAMP] + ramp = np.stack([np.interp(g, xs, [c[i] for _, c in SKIN_RAMP]) for i in range(3)], -1) + f = np.clip((sat - 0.10) / 0.10, 0, 1)[..., None] + return ramp * (1 - f) + rgb * f + + +def save_image(name, rgb01): + im = bpy.data.images.new(name, TEX, TEX, alpha=False) + px = np.ones((TEX, TEX, 4), np.float32) + px[..., :3] = np.clip(rgb01[::-1], 0, 1) + im.pixels.foreach_set(px.ravel()) + im.filepath_raw = os.path.abspath(os.path.join(OUT, name + ".png")) + im.file_format = "PNG" + im.save() + return im + + +grey = filled / 255.0 +body_px = grey[wt > 0].mean(-1) +grey = np.clip(grey * (0.88 / np.percentile(body_px, 92)), 0, 1) # normalise brightness +img_grey = save_image("UO_Body_Texture_grey", grey) +img_col = save_image("UO_Body_Texture", apply_partial_hue(grey)) + +# rest pose back +apply_pose(arm, bone_joint, np.zeros((NJ, 3)), np.zeros(3)) + +# ------------------------------------------------------------------ material +# Default: coloured texture. Alternative node chain kept in the material: grey UO texture -> skin ramp +# (mimics how the UO client hues the grey body); switch by connecting "Hue mix" to Base Color. +mat = bpy.data.materials.new("UO_Skin") +mat.use_nodes = True +nt = mat.node_tree +bsdf = nt.nodes["Principled BSDF"] +bsdf.inputs["Roughness"].default_value = 0.7 +tc = nt.nodes.new("ShaderNodeTexImage"); tc.image = img_col; tc.location = (-500, 350); tc.label = "Skin (coloured)" +nt.links.new(tc.outputs["Color"], bsdf.inputs["Base Color"]) +tg = nt.nodes.new("ShaderNodeTexImage"); tg.image = img_grey; tg.location = (-1300, -50); tg.label = "UO grey (hue-able)" +tg.image.colorspace_settings.name = "sRGB" +ramp = nt.nodes.new("ShaderNodeValToRGB"); ramp.location = (-950, -50); ramp.label = "Skin hue" +cr = ramp.color_ramp +while len(cr.elements) > 1: + cr.elements.remove(cr.elements[-1]) +cr.elements[0].position = SKIN_RAMP[0][0]; cr.elements[0].color = (*SKIN_RAMP[0][1], 1) +for pos, c in SKIN_RAMP[1:]: + e = cr.elements.new(pos); e.color = (*c, 1) +bw = nt.nodes.new("ShaderNodeRGBToBW"); bw.location = (-1100, -250) +nt.links.new(tg.outputs["Color"], bw.inputs["Color"]) +nt.links.new(bw.outputs["Val"], ramp.inputs["Fac"]) +sep = nt.nodes.new("ShaderNodeSeparateColor"); sep.mode = "HSV"; sep.location = (-1100, -400) +nt.links.new(tg.outputs["Color"], sep.inputs["Color"]) +mr = nt.nodes.new("ShaderNodeMapRange"); mr.location = (-900, -400) +mr.inputs["From Min"].default_value = 0.10; mr.inputs["From Max"].default_value = 0.20 +nt.links.new(sep.outputs[1], mr.inputs["Value"]) +hm = nt.nodes.new("ShaderNodeMix"); hm.data_type = "RGBA"; hm.location = (-650, -150); hm.label = "Hue mix" +nt.links.new(mr.outputs["Result"], hm.inputs["Factor"]) +nt.links.new(ramp.outputs["Color"], hm.inputs[6]) +nt.links.new(tg.outputs["Color"], hm.inputs[7]) +me.materials.append(mat) + +# ------------------------------------------------------------------ actions +arm.animation_data_create() +first_action = None +for a in sorted(anim): + poses = anim[a]["poses"] + F = poses["trans"].shape[0] + act = bpy.data.actions.new(f"{a:02d}_{ACTIONS_PEOPLE[a]}") + act.use_fake_user = True + arm.animation_data.action = act + cyc = a in (0, 1, 2, 3, 23, 24) + keys = list(range(F)) + ([0] if cyc and F > 1 else []) + for ki, i in enumerate(keys): + pp = pose_from_params({k: jnp.asarray(v_[i]) for k, v_ in poses.items()}) + apply_pose(arm, bone_joint, np.asarray(pp["rot"]), np.asarray(pp["trans"])) + fr = 1 + ki * STEP + for pb in arm.pose.bones: + pb.keyframe_insert("rotation_quaternion", frame=fr, group=pb.name) + if pb.parent is None: + pb.keyframe_insert("location", frame=fr, group=pb.name) + act["uo_action"] = a + act["uo_frames"] = F + act.frame_range = (1, 1 + (len(keys) - 1) * STEP) + if first_action is None or a == 4: + first_action = act +arm.animation_data.action = anim and bpy.data.actions.get("00_walk_unarmed") or first_action +apply_pose(arm, bone_joint, np.zeros((NJ, 3)), np.zeros(3)) + +# ------------------------------------------------------------------ UO camera (orthographic, matches sprite projection) +theta, scale = float(Snp["theta"]), float(Snp["scale"]) +cam = bpy.data.cameras.new("UO_Camera"); cam.type = "ORTHO" +cam.ortho_scale = CANVAS_W / scale +cam.sensor_fit = "HORIZONTAL" +co = bpy.data.objects.new("UO_Camera", cam) +sc.collection.objects.link(co) +up = Vector((0, math.sin(theta), math.cos(theta))) +view = Vector((0, math.cos(theta), -math.sin(theta))) # looking direction +center_px_up = (ANCHOR_Y - CANVAS_H / 2) / scale +center_px_x = (CANVAS_W / 2 - ANCHOR_X) / scale +target = up * center_px_up + Vector((center_px_x, 0, 0)) +co.location = target - view * 10 +co.rotation_euler = view.to_track_quat("-Z", "Y").to_euler() +sc.camera = co +sc.render.resolution_x, sc.render.resolution_y = CANVAS_W, CANVAS_H +sc.render.film_transparent = True +sc.render.filter_size = 0.5 +# direction control: custom property on the rig drives its Z rotation (UO file direction 0..4, 5..7 = mirrored) +arm["uo_direction"] = 0 +arm.id_properties_ui("uo_direction").update(min=0, max=4) +fc = arm.driver_add("rotation_euler", 2) +fc.driver.type = "SCRIPTED" +var = fc.driver.variables.new(); var.name = "d"; var.type = "SINGLE_PROP" +var.targets[0].id = arm; var.targets[0].data_path = '["uo_direction"]' +fc.driver.expression = "-d*pi/4" +sun = bpy.data.lights.new("UO_Sun", "SUN"); sun.energy = 3.0 +so = bpy.data.objects.new("UO_Sun", sun); so.rotation_euler = (math.radians(40), 0, math.radians(-30)) +sc.collection.objects.link(so) +w = bpy.data.worlds.new("World"); sc.world = w; w.use_nodes = True +w.node_tree.nodes["Background"].inputs[1].default_value = 0.8 +sc.render.engine = eevee_engine() + +# metadata +sc["uo_theta_deg"] = math.degrees(theta) +sc["uo_px_per_m"] = scale +sc.frame_start, sc.frame_end = 1, 1 + 9 * STEP + +txt = bpy.data.texts.new("render_uo_sprites.py") +txt.from_string(open("render_uo_sprites.py").read()) + +pickle.dump(dict(v=v, faces=faces, mirror=mirror, tris=tris, tri_uv=tri_uv), open(os.path.join(OUT, "mesh_cache.pkl"), "wb")) +for im in (img_col, img_grey): + im.pack() + im.filepath = "//" + im.name + ".png" +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(OUT, "UO_Body_0x190.blend"))) +print("saved blend") diff --git a/third_party/UO_Model3D_v13/pipeline/build_originals.py b/third_party/UO_Model3D_v13/pipeline/build_originals.py new file mode 100644 index 0000000..fab97c1 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/build_originals.py @@ -0,0 +1,26 @@ +"""Pack the original UO body frames (canvas-aligned 136x120, anchor 68,86) as + 1) an atlas PNG for the shader projection, 2) a JSON (per tile base64(zlib(RGBA))) for the render script.""" +import json, zlib, base64, numpy as np +from PIL import Image +from targets import targets +COLS, TW, TH = 35, 136, 120 +tiles, k = {}, 0 +frames = {} +for a in range(35): + T = targets(a) + for d in range(5): + for i in range(len(T)): + tiles["%d,%d,%d" % (a, i, d)] = (k % COLS, k // COLS); frames[(a, i, d)] = T[i, d]; k += 1 +ROWS = (k + COLS - 1) // COLS +atlas = np.zeros((ROWS * TH, COLS * TW, 4), np.uint8) +enc = {} +for (a, i, d), img in frames.items(): + c, r = tiles["%d,%d,%d" % (a, i, d)] + rgba = img.copy(); rgba[..., 3] = np.where(img[..., 3] > 127, 255, 0); rgba[rgba[..., 3] == 0] = 0 + atlas[r * TH:(r + 1) * TH, c * TW:(c + 1) * TW] = rgba + enc["%d,%d,%d" % (a, i, d)] = base64.b64encode(zlib.compress(rgba.tobytes(), 9)).decode() +Image.fromarray(atlas).save("UO_Original_Atlas.png", optimize=True) +json.dump(dict(cols=COLS, rows=ROWS, tile=[TW, TH], anchor=[68, 86], tiles=tiles, frames=enc, + format="key 'action,frame,dir' -> base64(zlib(uint8 RGBA 120x136)); tiles: key -> [col,row] in the atlas"), + open("uo_original_frames.json", "w")) +print("tiles", k, "atlas", atlas.shape) diff --git a/third_party/UO_Model3D_v13/pipeline/check_clav.py b/third_party/UO_Model3D_v13/pipeline/check_clav.py new file mode 100644 index 0000000..03aa04f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/check_clav.py @@ -0,0 +1,17 @@ +import bpy, pickle, numpy as np, sys +import jax.numpy as jnp +bpy.ops.wm.open_mainfile(filepath="out_ct/UO_Body_0x190.blend") +import os; os.environ["UO_DELTA"] = "refine_infl.pkl" +from posefit_mesh import posed +P = pickle.load(open("test_clav_poses.pkl", "rb")) +sc = bpy.context.scene; rig = bpy.data.objects["UO_Rig"]; body = bpy.data.objects["UO_Body"] +rig["uo_direction"] = 0 +for a, name in ((17, "17_spell_area"), (4, "04_stand")): + rig.animation_data.action = bpy.data.actions[name] + for i in range(P[a]["poses"]["trans"].shape[0]): + sc.frame_set(1 + 3 * i) + dg = bpy.context.evaluated_depsgraph_get(); ev = body.evaluated_get(dg); me = ev.to_mesh() + co = np.zeros(len(me.vertices) * 3); me.vertices.foreach_get("co", co); ev.to_mesh_clear() + M = np.array(body.matrix_world); co = co.reshape(-1, 3) @ M[:3, :3].T + M[:3, 3] + X = np.asarray(posed({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()})) + np.array([0, 0, sc["uo_anchor_height"]]) + print(name, i, "max |blender - fit| = %.2f mm" % (np.abs(co - X).max() * 1000)) diff --git a/third_party/UO_Model3D_v13/pipeline/clav_test.py b/third_party/UO_Model3D_v13/pipeline/clav_test.py new file mode 100644 index 0000000..00199bc --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/clav_test.py @@ -0,0 +1,73 @@ +"""Experiment: would a movable shoulder (clavicle) help raised-arm frames? Per-frame free shoulder offsets +(chest frame, both sides) vs. a control refit with the same iterations. Scored by true raster IoU.""" +import sys, pickle, numpy as np +import jax, jax.numpy as jnp, optax +from posefit_mesh import * +from posefit_mesh import _posed_j +P = pickle.load(open("final_poses_v6.pkl", "rb")) +FR = [(9, 6), (9, 5), (17, 4), (17, 3), (26, 2), (29, 2), (12, 3), (16, 4), (4, 0), (0, 3)] +ARMB = {s: np.array([JI[joint_of[b]] in (JI["shoulder." + s], JI["elbow." + s], JI["wrist." + s]) for b in md["bones"]]) for s in "LR"} +ML = jnp.asarray(ARMB["L"], jnp.float32); MR = jnp.asarray(ARMB["R"], jnp.float32) + + +def posed_ext(pp, off): + pose = pose_from_params(pp) + Pj, R = fk(S, pose) + Rb = R[BONE_JOINT] + Rc = R[JI["chest"]] + tb = Pj[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + tb = tb + ML[:, None] * (Rc @ off[0])[None] + MR[:, None] * (Rc @ off[1])[None] + X = jnp.einsum("bij,vj->vbi", Rb, V0) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def terms(X, dto, bpx, bm): + ins = 0.0; cov = 0.0 + for d in range(5): + p = project(X, d) + ins += jnp.mean(jnp.where(LEGV, bilinear(dto[d, 0], p), bilinear(dto[d, 1], p)) ** 2) + dist = jnp.sqrt(jnp.min(jnp.sum((bpx[d][:, None, :] - p[None, :, :]) ** 2, -1), 1) + 1e-9) + cov += jnp.sum(bm[d] * jax.nn.relu(dist - 0.7) ** 2) / (jnp.sum(bm[d]) + 1.0) + return 4.0 * ins + cov + + +def loss(v, nb, dto, bpx, bm, woff): + pp, off = v["pp"], v["off"] + l = terms(posed_ext(pp, off), dto, bpx, bm) + 200.0 * limit_penalty(pp) + 0.02 * natural_prior(pp) + l += 0.02 * (jnp.sum((pp["ball"] - nb["ball"]) ** 2) + jnp.sum((pp["hinge"] - nb["hinge"]) ** 2)) + return l + woff * jnp.sum(off ** 2) + + +vg = jax.jit(jax.value_and_grad(loss)) + + +def run(pp0, dto, bpx, bm, free): + v = {"pp": {k: jnp.asarray(x) for k, x in pp0.items()}, "off": jnp.zeros((2, 3))} + nb = dict(v["pp"]) + opt = optax.adam(optax.exponential_decay(0.01, 300, 0.3)); st = opt.init(v) + for _ in range(300): + _, g = vg(v, nb, dto, bpx, bm, 30.0) + if not free: + g["off"] = jnp.zeros_like(g["off"]) + up, st = opt.update(g, st, v); v = optax.apply_updates(v, up) + return v + + +def iou(v, m): + X = posed_ext(v["pp"], v["off"]); r = [] + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) + r.append((mk & m[d]).sum() / max((mk | m[d]).sum(), 1)) + return np.mean(r) + + +cache = {} +for a, i in FR: + if a not in cache: + cache[a] = prepare(a) + F, dto, bpx, bm, m = cache[a] + pp0 = {k: np.asarray(x[i]) for k, x in P[a]["poses"].items()} + base = iou({"pp": {k: jnp.asarray(x) for k, x in pp0.items()}, "off": jnp.zeros((2, 3))}, m[i]) + c = run(pp0, dto[i], bpx[i], bm[i], False); f = run(pp0, dto[i], bpx[i], bm[i], True) + print(f"a{a} f{i}: now {base:.3f} control {iou(c, m[i]):.3f} with shoulder offsets {iou(f, m[i]):.3f} " + f"off L {np.round(np.asarray(f['off'][0])*100,1)} cm R {np.round(np.asarray(f['off'][1])*100,1)} cm", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/compare.py b/third_party/UO_Model3D_v13/pipeline/compare.py new file mode 100644 index 0000000..595c255 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/compare.py @@ -0,0 +1,91 @@ +"""Render the rigged model through UO_Camera and build side-by-side GIFs: original sprite | 3D model.""" +import bpy, sys, os +import numpy as np +from PIL import Image + +blend = sys.argv[sys.argv.index("--blend") + 1] +out = sys.argv[sys.argv.index("--out") + 1] +acts = [int(a) for a in sys.argv[sys.argv.index("--actions") + 1].split(",")] +os.makedirs(out, exist_ok=True) +sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) +from targets import targets +from vd import ACTIONS_PEOPLE + +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene +sc.render.engine = "CYCLES"; sc.cycles.samples = 16; sc.cycles.device = "CPU" +sc.render.resolution_x, sc.render.resolution_y = 136, 120 +sc.render.film_transparent = True +sc.cycles.filter_width = float(sys.argv[sys.argv.index("--filter") + 1]) if "--filter" in sys.argv else 1.0 +MATTE = "--no-matte" not in sys.argv + + +def uo_matte(rgba): + """UO sprites: anti-aliased render over black, then 1-bit alpha -> dark edge pixels.""" + a = rgba[..., 3:4] / 255.0 + out = rgba.copy() + out[..., :3] = rgba[..., :3] * a + out[..., 3] = np.where(a[..., 0] >= 0.5, 255, 0) + # UO art has a dark 1-px outline (outer ring ~0.38 of the next ring's brightness) + m = out[..., 3] > 0 + inner = m.copy() + inner[1:] &= m[:-1]; inner[:-1] &= m[1:]; inner[:, 1:] &= m[:, :-1]; inner[:, :-1] &= m[:, 1:] + ring = m & ~inner + out[ring, :3] *= OUTLINE + return out + + +OUTLINE = float(sys.argv[sys.argv.index("--outline") + 1]) if "--outline" in sys.argv else 0.38 +rig = bpy.data.objects["UO_Rig"] +tmp = os.path.abspath(os.path.join(out, "_tmp.png")) +ZOOM = 3 +BG = np.array([48, 52, 60], float) + + +def comp(rgba): + a = rgba[..., 3:4] / 255.0 + return BG * (1 - a) + rgba[..., :3] * a + + +for a in acts: + name = f"{a:02d}_{ACTIONS_PEOPLE[a]}" + act = bpy.data.actions.get(name) + if act is None: + continue + rig.animation_data.action = act + T = targets(a) + F = len(T) + # crop to union bbox of sprites (+ margin) + m = T[..., 3].max((0, 1)) > 0 + ys, xs = np.nonzero(m) + y0, y1, x0, x1 = max(ys.min() - 6, 0), min(ys.max() + 7, 120), max(xs.min() - 6, 0), min(xs.max() + 7, 136) + frames = [] + ious = [] + errs = [] + for i in range(F): + cols = [] + for d in range(5): + rig["uo_direction"] = d + rig.update_tag() + sc.frame_set(1 + i * 3) + sc.render.filepath = tmp + bpy.ops.render.render(write_still=True) + r = np.array(Image.open(tmp).convert("RGBA")).astype(float) + if MATTE: + r = uo_matte(r) + s = T[i, d].astype(float) + ma, mb = r[..., 3] > 127, s[..., 3] > 127 + ious.append((ma & mb).sum() / max((ma | mb).sum(), 1)) + both = ma & mb + if both.any(): + errs.append(np.abs(r[..., :3][both] - s[..., :3][both]).mean()) + pair = np.concatenate([comp(s)[y0:y1, x0:x1], comp(r)[y0:y1, x0:x1]], 0) + cols.append(pair) + cols.append(np.full((pair.shape[0], 2, 3), 90.0)) + img = np.concatenate(cols[:-1], 1).astype(np.uint8) + im = Image.fromarray(img) + frames.append(im.resize((im.width * ZOOM, im.height * ZOOM), Image.NEAREST)) + dur = 125 if F > 1 else 1000 + frames[0].save(os.path.join(out, f"compare_{name}.gif"), save_all=True, append_images=frames[1:], duration=dur, loop=0) + frames[0].save(os.path.join(out, f"compare_{name}_f0.png")) + print("gif", name, "silhouette IoU %.3f" % np.mean(ious), "mean colour error %.1f/255" % np.mean(errs), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/compare2.py b/third_party/UO_Model3D_v13/pipeline/compare2.py new file mode 100644 index 0000000..e5681b3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/compare2.py @@ -0,0 +1,56 @@ +"""Render the BODY layer with render_uo_layer.py (UO look, horse holdout, UO post-process) and build +side-by-side GIFs (original sprite | model) + metrics for the given actions.""" +import bpy, sys, os +import numpy as np +from PIL import Image + +blend = sys.argv[sys.argv.index("--blend") + 1] +out = os.path.abspath(sys.argv[sys.argv.index("--out") + 1]) +ACT_IDS = [int(a) for a in sys.argv[sys.argv.index("--actions") + 1].split(",")] +sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) +from targets import targets +from vd import ACTIONS_PEOPLE + +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene +sc.render.engine = "CYCLES"; sc.cycles.samples = 16; sc.cycles.device = "CPU" +NAMES = [f"{a:02d}_{ACTIONS_PEOPLE[a]}" for a in ACT_IDS] +src = bpy.data.texts["render_uo_layer.py"].as_string() +import re +src = re.sub(r'(?m)^LAYER = "clothing"', 'LAYER = "body"', src, count=1) # the settings line, not the header +src = re.sub(r'(?m)^ONLY = \[\]', "ONLY = %r" % NAMES, src, count=1) +src = re.sub(r'(?m)^EXACT_BODY = True', "EXACT_BODY = False", src, count=1) # the 3D model itself, not the original +src = src.replace('WRITE_VD = True', 'WRITE_VD = False').replace('OUT_DIR = "//uo_render/"', 'OUT_DIR = %r' % (out + "/")) +exec(compile(src, "render_uo_layer.py", "exec")) +BG = np.array([48, 52, 60], float) + + +def comp(rgba): + a = rgba[..., 3:4] / 255.0 + return BG * (1 - a) + rgba[..., :3] * a + + +os.makedirs(out, exist_ok=True) +for a, name in zip(ACT_IDS, NAMES): + T = targets(a) + m = T[..., 3].max((0, 1)) > 0 + ys, xs = np.nonzero(m) + y0, y1, x0, x1 = max(ys.min() - 6, 0), min(ys.max() + 7, 120), max(xs.min() - 6, 0), min(xs.max() + 7, 136) + frames, ious, errs = [], [], [] + for i in range(len(T)): + cols = [] + for d in range(5): + r = np.array(Image.open(os.path.join(out, "body", "frames", name, "dir%d" % d, "%02d.png" % i)).convert("RGBA")).astype(float) + s = T[i, d].astype(float) + ma, mb = r[..., 3] > 127, s[..., 3] > 127 + ious.append((ma & mb).sum() / max((ma | mb).sum(), 1)) + both = ma & mb + if both.any(): + errs.append(np.abs(r[..., :3][both] - s[..., :3][both]).mean()) + cols.append(np.concatenate([comp(s)[y0:y1, x0:x1], comp(r)[y0:y1, x0:x1]], 0)) + cols.append(np.full((cols[-1].shape[0], 2, 3), 90.0)) + im = Image.fromarray(np.concatenate(cols[:-1], 1).astype(np.uint8)) + frames.append(im.resize((im.width * 3, im.height * 3), Image.NEAREST)) + frames[0].save(os.path.join(out, f"compare_{name}.gif"), save_all=True, append_images=frames[1:], + duration=125 if len(frames) > 1 else 1000, loop=0) + print("gif", name, "silhouette IoU %.3f" % np.mean(ious), "mean colour error %.1f/255" % np.mean(errs), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/corr_fit.py b/third_party/UO_Model3D_v13/pipeline/corr_fit.py new file mode 100644 index 0000000..f19b7af --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/corr_fit.py @@ -0,0 +1,163 @@ +"""Per-frame corrective shapes: rest-space vertex offsets D (a Blender shape key per UO frame) so that the +rasterised silhouette (pixel centre rule) in all 5 UO views equals the sprite: nothing outside, nothing missing. + +Loss per view (px units): + inside : every projected vertex lies inside the pixel-square union of the sprite (signed distance, margin) + reach : every outward pixel side of the sprite (its midpoint) has a projected vertex within ~0.3 px + repel : after a raster check, vertices are pushed away from pixel centres the model covers but the sprite lacks + reg : Laplacian smoothness and magnitude of D +Poses are fixed (final pose file). usage: python corr_fit.py 4 0 9 --poses final_poses_v10.pkl --out corr_A.pkl""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.ndimage import distance_transform_edt +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +from posefit_mesh import (md, pose_from_params, fk, S, W, P0, BONE_JOINT, project, tris, targets, horse_masks, HORSE_OF, + LEGV, CANVAS_W, CANVAS_H, raster_vec, V0, JI) +POSES = sys.argv[sys.argv.index("--poses") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +ACTS = [int(a) for k, a in enumerate(sys.argv[1:], 1) if a.isdigit() and sys.argv[k - 1] not in ("--poses", "--out")] +ITERS = int(os.environ.get("UO_CITERS", "400")) +ROUNDS = int(os.environ.get("UO_CROUNDS", "3")) +SUP = 4 +VIEWS = [int(v) for v in os.environ.get("UO_CVIEWS", "0,1,2,3,4").split(",")] +NT = 700 # max boundary targets per view +NR = 64 # max repel points per view +NC = 1400 # max candidate (near-boundary) vertices per view for the reach term +P = pickle.load(open(POSES, "rb")) +NV = V0.shape[0] +ARM_L = jnp.asarray([JI[j] for j in ()]) if False else None +E = set() +for f in md["faces"]: + for a_, b_ in zip(f, f[1:] + f[:1]): + E.add((min(a_, b_), max(a_, b_))) +E = np.array(sorted(E)) +deg = jnp.asarray(np.maximum(np.bincount(E.ravel(), minlength=NV), 1).astype(np.float32)) +EI, EJ = jnp.asarray(E[:, 0]), jnp.asarray(E[:, 1]) +import posefit_mesh as PM + + +def posed_with(pp, V): + pose = pose_from_params(pp) + Pj, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = Pj[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + if "clav" in pp: + Rc = R[JI["chest"]] + tb = tb + PM.ARM_L[:, None] * (Rc @ pp["clav"][0])[None] + PM.ARM_R[:, None] * (Rc @ pp["clav"][1])[None] + X = jnp.einsum("bij,vj->vbi", Rb, V) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def sdf_sq(mask): + """signed distance (px, + outside) to the boundary of the union of pixel squares, sampled on a SUPx grid""" + m4 = np.kron(mask, np.ones((SUP, SUP), bool)) + return ((distance_transform_edt(~m4) - distance_transform_edt(m4)) / SUP).astype(np.float32) + + +def bilin(img, p): + x = jnp.clip(p[:, 0] * SUP - 0.5, 0, img.shape[1] - 1.001); y = jnp.clip(p[:, 1] * SUP - 0.5, 0, img.shape[0] - 1.001) + x0 = jnp.floor(x).astype(int); y0 = jnp.floor(y).astype(int); fx, fy = x - x0, y - y0 + return (img[y0, x0] * (1 - fx) * (1 - fy) + img[y0, x0 + 1] * fx * (1 - fy) + img[y0 + 1, x0] * (1 - fx) * fy + + img[y0 + 1, x0 + 1] * fx * fy) + + +def targets_of(mask, unknown): + pts = [] + H_, W_ = mask.shape + for dy, dx in ((-1, 0), (1, 0), (0, -1), (0, 1)): + nb = np.zeros_like(mask); nbu = np.zeros_like(mask) + ys, xs = np.nonzero(mask) + ny, nx = ys + dy, xs + dx + ok = (ny >= 0) & (ny < H_) & (nx >= 0) & (nx < W_) + outside = np.ones(len(ys), bool); outside[ok] = ~mask[ny[ok], nx[ok]] + hid = np.zeros(len(ys), bool); hid[ok] = unknown[ny[ok], nx[ok]] + sel = outside & ~hid + pts.append(np.stack([xs[sel] + 0.5 + 0.5 * dx, ys[sel] + 0.5 + 0.5 * dy], 1)) + return np.concatenate(pts, 0).astype(np.float32) + + +def loss_fn(Dpx, pp, sdf_r, sdf_a, tg, tm, rp, rm, w_rep, mounted, cand, cmask): + D = Dpx / 36.0 + X = posed_with(pp, V0 + D) + lin = 0.0; lcov = 0.0; lrep = 0.0 + for d in VIEWS: + p = project(X, d) + s = jnp.where(LEGV & mounted, bilin(sdf_a[d], p), bilin(sdf_r[d], p)) + lin += jnp.mean(jax.nn.relu(s + 0.08) ** 2) * 50.0 + jnp.max(jax.nn.relu(s + 0.08)) * 0.5 + pc = p[cand[d]] + (1.0 - cmask[d])[:, None] * 1e4 # padded candidates pushed far away + dist = jnp.sqrt(jnp.min(jnp.sum((tg[d][:, None, :] - pc[None, :, :]) ** 2, -1), 1) + 1e-9) + lcov += jnp.sum(tm[d] * jax.nn.relu(dist - 0.3) ** 2) / (jnp.sum(tm[d]) + 1.0) * 20.0 + dr = jnp.sqrt(jnp.sum((rp[d][:, None, :] - pc[None, :, :]) ** 2, -1) + 1e-9) + lrep += jnp.sum(rm[d][:, None] * jax.nn.relu(0.8 - dr) ** 2) * w_rep + lap = Dpx - (jax.ops.segment_sum(Dpx[EJ], EI, NV) + jax.ops.segment_sum(Dpx[EI], EJ, NV)) / deg[:, None] + reg = jnp.sum(lap ** 2) * float(os.environ.get("UO_CLAP", "0.05")) + jnp.sum(Dpx ** 2) * 0.0005 + return lin + lcov + lrep + reg, (lin, lcov, lrep) + + +vg = jax.jit(jax.value_and_grad(loss_fn, has_aux=True)) + + +def raster_check(Dpx, pp, masks, unknown): + X = posed_with(pp, V0 + jnp.asarray(Dpx) / 36.0) + red = blue = area = 0; blue_pts = [] + for d in range(5): + if d not in VIEWS: + blue_pts.append(np.zeros((0, 2), np.float32)); continue + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~unknown[d] + s = masks[d] + b = mk & ~s; r = s & ~mk + red += r.sum(); blue += b.sum(); area += s.sum() + ys, xs = np.nonzero(b); blue_pts.append(np.stack([xs + 0.5, ys + 0.5], 1).astype(np.float32)) + return red, blue, area, blue_pts + + +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} +for a in ACTS: + T = targets(a); F = len(T); M = T[..., 3] > 127 + hid = (horse_masks(a, F) & ~M) if a in HORSE_OF else np.zeros_like(M) + mounted = jnp.asarray(a in HORSE_OF) + for i in range(F): + t0 = time.time() + pp = {k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()} + sdf_r = jnp.asarray(np.stack([sdf_sq(M[i, d]) for d in range(5)])) + sdf_a = jnp.asarray(np.stack([sdf_sq(M[i, d] | hid[i, d]) for d in range(5)])) + tg = np.zeros((5, NT, 2), np.float32); tm = np.zeros((5, NT), np.float32) + for d in range(5): + t = targets_of(M[i, d], hid[i, d]) + if len(t) > NT: + t = t[np.linspace(0, len(t) - 1, NT).astype(int)] + tg[d, :len(t)] = t; tm[d, :len(t)] = 1 + rp = np.zeros((5, NR, 2), np.float32); rm = np.zeros((5, NR), np.float32) + r0, b0, area, _ = raster_check(np.zeros((NV, 3)), pp, M[i], hid[i]) + Dpx = jnp.zeros((NV, 3), jnp.float32) + for rnd in range(ROUNDS): + Xc = np.asarray(posed_with(pp, V0 + Dpx / 36.0)) + cand = np.zeros((5, NC), np.int32); cmask = np.zeros((5, NC), np.float32) + for d in range(5): + pc = np.asarray(project(jnp.asarray(Xc), d)) + sd = np.asarray(bilin(sdf_r[d], jnp.asarray(pc))) + idx = np.nonzero(np.abs(sd) < 4.0)[0] + if len(idx) > NC: + idx = idx[np.argsort(np.abs(sd[idx]))[:NC]] + cand[d, :len(idx)] = idx; cmask[d, :len(idx)] = 1 + opt = optax.adam(optax.exponential_decay(0.05, ITERS, 0.2)); st = opt.init(Dpx) + args = (pp, sdf_r, sdf_a, jnp.asarray(tg), jnp.asarray(tm), jnp.asarray(rp), jnp.asarray(rm), 5.0, mounted, + jnp.asarray(cand), jnp.asarray(cmask)) + for it in range(ITERS): + (l, aux), g = vg(Dpx, *args) + up, st = opt.update(g, st, Dpx); Dpx = optax.apply_updates(Dpx, up) + r1, b1, _, bpts = raster_check(np.asarray(Dpx), pp, M[i], hid[i]) + if r1 + b1 == 0 or rnd == ROUNDS - 1: + break + for d in range(5): # remember offending pixel centres, keep previous ones too + old = rp[d][rm[d] > 0] + allp = np.concatenate([old, bpts[d]], 0)[:NR] + rp[d] = 0; rm[d] = 0; rp[d, :len(allp)] = allp; rm[d, :len(allp)] = 1 + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[(a, i)] = dict(D=(np.asarray(Dpx) / 36.0).astype(np.float32), before=(int(r0), int(b0)), after=(int(r1), int(b1)), + area=int(area)) + pickle.dump(res, open(OUT, "wb")) + print(f"a{a:2d} f{i}: missing {r0:4d} -> {r1:3d} outside {b0:4d} -> {b1:3d} (area {area}, " + f"IoU {1-(r0+b0)/(area+b0):.3f} -> {1-(r1+b1)/(area+b1):.3f}) max|D| {np.abs(np.asarray(Dpx)).max():.2f}px " + f"rounds {rnd+1} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/corr_fit3.py b/third_party/UO_Model3D_v13/pipeline/corr_fit3.py new file mode 100644 index 0000000..3d01c11 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/corr_fit3.py @@ -0,0 +1,130 @@ +"""Stage 3: pixel-level refinement of the per-frame corrections, aligned with the rasteriser (pixel-centre rule). +Every pixel the model covers but the sprite lacks pushes EACH covering triangle off that pixel centre (barycentric +exclusion); every sprite pixel the model misses pulls its nearest triangle over the pixel centre (inclusion). +Stage-1 terms keep the rest in place. Starts from a previous corrections file (UO_CINIT). +usage: UO_CINIT=corr_all.pkl python corr_fit3.py 4 0 --poses final_poses_v10.pkl --out corr3_A.pkl""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +sys.argv_saved = list(sys.argv) +from posefit_mesh import (md, pose_from_params, fk, S, W, P0, BONE_JOINT, project, tris, targets, horse_masks, HORSE_OF, + LEGV, CANVAS_W, CANVAS_H, V0, JI) +import posefit_mesh as PM +import corr_fit_core as CF + +POSES = sys.argv[sys.argv.index("--poses") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +ACTS = [int(a) for k, a in enumerate(sys.argv[1:], 1) if a.isdigit() and sys.argv[k - 1] not in ("--poses", "--out")] +FRAMES = [int(x) for x in os.environ["UO_CFRAMES"].split(",")] if os.environ.get("UO_CFRAMES") else None +INIT = pickle.load(open(os.environ["UO_CINIT"], "rb")) +ROUNDS = int(os.environ.get("UO_C3ROUNDS", "8")); ITERS = int(os.environ.get("UO_C3ITERS", "150")) +NP = 512 # max (pixel, triangle) pairs per view +P = pickle.load(open(POSES, "rb")) +TRI = jnp.asarray(tris) + + +def bary_min(p, t, c): + """min barycentric coordinate of point c in projected triangle t (p: projected vertices)""" + A, B, C = p[TRI[t, 0]], p[TRI[t, 1]], p[TRI[t, 2]] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + den = jnp.where(jnp.abs(den) < 1e-6, 1e-6, den) + l0 = ((B[:, 1] - C[:, 1]) * (c[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (c[:, 1] - C[:, 1])) / den + l1 = ((C[:, 1] - A[:, 1]) * (c[:, 0] - C[:, 0]) + (A[:, 0] - C[:, 0]) * (c[:, 1] - C[:, 1])) / den + return jnp.minimum(jnp.minimum(l0, l1), 1 - l0 - l1) + + +def loss_fn(Dpx, pp, sdf_r, sdf_a, tg, tm, mounted, cand, cmask, ex_t, ex_c, ex_m, in_t, in_c, in_m): + base, _ = CF.loss_fn(Dpx, pp, sdf_r, sdf_a, tg, tm, jnp.zeros((5, 1, 2)), jnp.zeros((5, 1)), 0.0, mounted, cand, cmask) + X = CF.posed_with(pp, V0 + Dpx / 36.0) + lex = 0.0; lin = 0.0 + for d in range(5): + p = project(X, d) + lex += jnp.sum(ex_m[d] * jax.nn.relu(bary_min(p, ex_t[d], ex_c[d]) + 0.03) ** 2) * float(os.environ.get("UO_WEX", "400")) + lin += jnp.sum(in_m[d] * jax.nn.relu(0.03 - bary_min(p, in_t[d], in_c[d])) ** 2) * float(os.environ.get("UO_WIN", "400")) + return base + lex + lin, (lex, lin) + + +vg = jax.jit(jax.value_and_grad(loss_fn, has_aux=True)) + + +def raster_ids(P2): + """per pixel centre: list of covering triangle ids (all layers)""" + cover = {} + mn = np.floor(P2.min(1)).astype(int); mx = np.ceil(P2.max(1)).astype(int) + A, B, C = P2[:, 0], P2[:, 1], P2[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + ids = [] + for dy in range(int(size[:, 1].max()) + 1): + for dx in range(int(size[:, 0].max()) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy; cx, cy = px + 0.5, py + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px >= 0) & (py >= 0) & (px < CANVAS_W) & (py < CANVAS_H) + ids.append(np.stack([py[k], px[k], t[k]], 1)) + return np.concatenate(ids, 0) + + +def pairs_for(P2, s, unknown): + """exclusion pairs (blue pixel, covering triangle) and inclusion pairs (red pixel, nearest triangle)""" + ids = raster_ids(P2) + cov = np.zeros(s.shape, bool); cov[ids[:, 0], ids[:, 1]] = True; cov &= ~unknown + blue = cov & ~s; red = s & ~cov + sel = blue[ids[:, 0], ids[:, 1]] + ex = ids[sel] + ex_c = np.stack([ex[:, 1] + 0.5, ex[:, 0] + 0.5], 1); ex_t = ex[:, 2] + ry, rx = np.nonzero(red) + cen = P2.mean(1) + in_t = np.array([np.argmin(((cen - [x + 0.5, y + 0.5]) ** 2).sum(1)) for y, x in zip(ry, rx)], int) + in_c = np.stack([rx + 0.5, ry + 0.5], 1) if len(rx) else np.zeros((0, 2)) + return (ex_t, ex_c), (in_t, in_c), int(blue.sum()), int(red.sum()) + + +def pad(t, c): + tt = np.zeros(NP, np.int32); cc = np.zeros((NP, 2), np.float32); mm = np.zeros(NP, np.float32) + n = min(len(t), NP); tt[:n] = t[:n]; cc[:n] = c[:n]; mm[:n] = 1 + return tt, cc, mm + + +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} +for a in ACTS: + T = targets(a); F = len(T); M = T[..., 3] > 127 + hid = (horse_masks(a, F) & ~M) if a in HORSE_OF else np.zeros_like(M) + mounted = jnp.asarray(a in HORSE_OF) + for i in range(F): + if FRAMES is not None and i not in FRAMES: + continue + t0 = time.time() + pp = {k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()} + sdf_r, sdf_a, tg, tm = CF.frame_data(M[i], hid[i]) + Dpx = jnp.asarray(INIT[(a, i)]["D"] * 36.0) + hist = [] + best = None + for rnd in range(ROUNDS + 1): + X = np.asarray(CF.posed_with(pp, V0 + Dpx / 36.0)) + data = [pairs_for(np.asarray(project(jnp.asarray(X), d))[tris], M[i, d], hid[i, d]) for d in range(5)] + nb, nr = sum(x[2] for x in data), sum(x[3] for x in data) + hist.append((nr, nb)) + if best is None or nb + nr < best[0]: + best = (nb + nr, np.asarray(Dpx), nr, nb) + if rnd == ROUNDS or nb + nr == 0: + break + ex = [pad(*x[0]) for x in data]; inc = [pad(*x[1]) for x in data] + cand, cmask = CF.candidates(pp, Dpx, sdf_r) + args = (pp, sdf_r, sdf_a, tg, tm, mounted, cand, cmask, + jnp.asarray(np.stack([e[0] for e in ex])), jnp.asarray(np.stack([e[1] for e in ex])), jnp.asarray(np.stack([e[2] for e in ex])), + jnp.asarray(np.stack([e[0] for e in inc])), jnp.asarray(np.stack([e[1] for e in inc])), jnp.asarray(np.stack([e[2] for e in inc]))) + opt = optax.adam(optax.exponential_decay(float(os.environ.get("UO_C3LR", "0.02")), ITERS, 0.3)); st = opt.init(Dpx) + for it in range(ITERS): + (l, aux), g = vg(Dpx, *args) + up, st = opt.update(g, st, Dpx); Dpx = optax.apply_updates(Dpx, up) + _, Dbest, nr, nb = best + area = int(M[i].sum()) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[(a, i)] = dict(D=(Dbest / 36.0).astype(np.float32), after=(nr, nb), area=area, hist=hist) + pickle.dump(res, open(OUT, "wb")) + r0, b0 = hist[0] + print(f"a{a:2d} f{i}: missing {r0:3d} -> {nr:3d} outside {b0:3d} -> {nb:3d} IoU {1-(r0+b0)/(area+b0):.3f} -> " + f"{1-(nr+nb)/(area+nb):.3f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/corr_fit34.py b/third_party/UO_Model3D_v13/pipeline/corr_fit34.py new file mode 100644 index 0000000..f58102b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/corr_fit34.py @@ -0,0 +1,96 @@ +"""Stages 3+4 of the per-frame corrections, raster-aligned (pixel-centre rule): + stage 3: refine the shared 3D correction D of each frame (all 5 views) with pixel-level triangle terms + stage 4: for each view d an extra correction E_d (a shape key active only in that UO direction) using only view d +usage: UO_CINIT=corr_all.pkl python corr_fit34.py 4 0 --poses final_poses_v10.pkl --out corr34_A.pkl""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +from posefit_mesh import project, tris, targets, horse_masks, HORSE_OF, LEGV, V0 +import corr_fit_core as CF +from corr_fit_core import raster_ids, pairs_for, pad, bary_min, NP + +POSES = sys.argv[sys.argv.index("--poses") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +ACTS = [int(a) for k, a in enumerate(sys.argv[1:], 1) if a.isdigit() and sys.argv[k - 1] not in ("--poses", "--out")] +FRAMES = [int(x) for x in os.environ["UO_CFRAMES"].split(",")] if os.environ.get("UO_CFRAMES") else None +INIT = pickle.load(open(os.environ["UO_CINIT"], "rb")) +R3, I3 = int(os.environ.get("UO_R3", "8")), int(os.environ.get("UO_I3", "100")) +R4, I4 = int(os.environ.get("UO_R4", "8")), int(os.environ.get("UO_I4", "80")) +P = pickle.load(open(POSES, "rb")) +NV = V0.shape[0] + + +def loss_fn(E, Dfix, pp, sdf_r, sdf_a, tg, tm, mounted, cand, cmask, ex_t, ex_c, ex_m, in_t, in_c, in_m, wv, wreg): + Dpx = Dfix + E + X = CF.posed_with(pp, V0 + Dpx / 36.0) + l = 0.0 + for d in range(5): + p = project(X, d) + s = jnp.where(LEGV & mounted, CF.bilin(sdf_a[d], p), CF.bilin(sdf_r[d], p)) + lin = jnp.mean(jax.nn.relu(s + 0.08) ** 2) * 50.0 + pc = p[cand[d]] + (1.0 - cmask[d])[:, None] * 1e4 + dist = jnp.sqrt(jnp.min(jnp.sum((tg[d][:, None, :] - pc[None, :, :]) ** 2, -1), 1) + 1e-9) + lcov = jnp.sum(tm[d] * jax.nn.relu(dist - 0.3) ** 2) / (jnp.sum(tm[d]) + 1.0) * 20.0 + lex = jnp.sum(ex_m[d] * jax.nn.relu(bary_min(p, ex_t[d], ex_c[d]) + 0.03) ** 2) * 1500.0 + linc = jnp.sum(in_m[d] * jax.nn.relu(0.03 - bary_min(p, in_t[d], in_c[d])) ** 2) * 200.0 + l += wv[d] * (lin + lcov + lex + linc) + lap = E - (jax.ops.segment_sum(E[CF.EJ], CF.EI, NV) + jax.ops.segment_sum(E[CF.EI], CF.EJ, NV)) / CF.deg[:, None] + return l + wreg * (jnp.sum(lap ** 2) * 0.015 + jnp.sum(E ** 2) * 0.0005) + + +vg = jax.jit(jax.value_and_grad(loss_fn)) + + +def optimise(E0, Dfix, pp, fd, mounted, M_, hid_, views, rounds, iters, lr=0.01): + """alternate raster checks and optimisation; keep the best result (fewest wrong pixels in `views`)""" + sdf_r, sdf_a, tg, tm = fd + wv = jnp.asarray([1.0 if d in views else 0.0 for d in range(5)]) + E = jnp.asarray(E0); best = None; hist = [] + for rnd in range(rounds + 1): + X = np.asarray(CF.posed_with(pp, V0 + (Dfix + E) / 36.0)) + data = [pairs_for(np.asarray(project(jnp.asarray(X), d))[tris], M_[d], hid_[d]) for d in range(5)] + nb = sum(data[d][2] for d in views); nr = sum(data[d][3] for d in views); hist.append((nr, nb)) + if best is None or nb + nr < best[0]: + best = (nb + nr, np.asarray(E), nr, nb) + if rnd == rounds or nb + nr == 0: + break + ex = [pad(*x[0]) for x in data]; inc = [pad(*x[1]) for x in data] + cand, cmask = CF.candidates(pp, Dfix + E, sdf_r) + args = (jnp.asarray(Dfix), pp, sdf_r, sdf_a, tg, tm, mounted, cand, cmask, + jnp.asarray(np.stack([e[0] for e in ex])), jnp.asarray(np.stack([e[1] for e in ex])), jnp.asarray(np.stack([e[2] for e in ex])), + jnp.asarray(np.stack([e[0] for e in inc])), jnp.asarray(np.stack([e[1] for e in inc])), jnp.asarray(np.stack([e[2] for e in inc])), + wv, 1.0) + opt = optax.adam(optax.exponential_decay(lr, iters, 0.3)); st = opt.init(E) + for it in range(iters): + l, g = vg(E, *args) + up, st = opt.update(g, st, E); E = optax.apply_updates(E, up) + return best, hist + + +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} +for a in ACTS: + T = targets(a); F = len(T); M = T[..., 3] > 127 + hid = (horse_masks(a, F) & ~M) if a in HORSE_OF else np.zeros_like(M) + mounted = jnp.asarray(a in HORSE_OF) + for i in range(F): + if FRAMES is not None and i not in FRAMES: + continue + t0 = time.time() + pp = {k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()} + fd = CF.frame_data(M[i], hid[i]) + D1 = INIT[(a, i)]["D"] * 36.0 + zero = np.zeros_like(D1) + (_, E3, nr3, nb3), h3 = optimise(zero, D1, pp, fd, mounted, M[i], hid[i], range(5), R3, I3) # stage 3 (shared) + D3 = D1 + E3 + Ed, per = {}, [] + for d in range(5): # stage 4 (per view) + (_, E4, nr4, nb4), h4 = optimise(zero, D3, pp, fd, mounted, M[i], hid[i], [d], R4, I4) + Ed[d] = (E4 / 36.0).astype(np.float32); per.append((nr4, nb4)) + area = int(M[i].sum()); r0, b0 = h3[0] + nr = sum(p[0] for p in per); nb = sum(p[1] for p in per) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[(a, i)] = dict(D=(D3 / 36.0).astype(np.float32), Ed=Ed, stage3=(nr3, nb3), per_view=per, area=area) + pickle.dump(res, open(OUT, "wb")) + print(f"a{a:2d} f{i}: stage1 {1-(r0+b0)/(area+b0):.3f} stage3 {1-(nr3+nb3)/(area+nb3):.3f} per-view {1-(nr+nb)/(area+nb):.3f} " + f"(missing {nr}, outside {nb}) {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/corr_fit_core.py b/third_party/UO_Model3D_v13/pipeline/corr_fit_core.py new file mode 100644 index 0000000..3dee2f8 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/corr_fit_core.py @@ -0,0 +1,193 @@ +"""(library version of corr_fit.py) Per-frame corrective shapes: rest-space vertex offsets D (a Blender shape key per UO frame) so that the +rasterised silhouette (pixel centre rule) in all 5 UO views equals the sprite: nothing outside, nothing missing. + +Loss per view (px units): + inside : every projected vertex lies inside the pixel-square union of the sprite (signed distance, margin) + reach : every outward pixel side of the sprite (its midpoint) has a projected vertex within ~0.3 px + repel : after a raster check, vertices are pushed away from pixel centres the model covers but the sprite lacks + reg : Laplacian smoothness and magnitude of D +Poses are fixed (final pose file). usage: python corr_fit.py 4 0 9 --poses final_poses_v10.pkl --out corr_A.pkl""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.ndimage import distance_transform_edt +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +from posefit_mesh import (md, pose_from_params, fk, S, W, P0, BONE_JOINT, project, tris, targets, horse_masks, HORSE_OF, + LEGV, CANVAS_W, CANVAS_H, raster_vec, V0, JI) +ITERS = int(os.environ.get("UO_CITERS", "400")) +ROUNDS = int(os.environ.get("UO_CROUNDS", "3")) +SUP = 4 +VIEWS = [int(v) for v in os.environ.get("UO_CVIEWS", "0,1,2,3,4").split(",")] +NT = 700 # max boundary targets per view +NR = 64 # max repel points per view +NC = 1400 # max candidate (near-boundary) vertices per view for the reach term +NV = V0.shape[0] +ARM_L = jnp.asarray([JI[j] for j in ()]) if False else None +E = set() +for f in md["faces"]: + for a_, b_ in zip(f, f[1:] + f[:1]): + E.add((min(a_, b_), max(a_, b_))) +E = np.array(sorted(E)) +deg = jnp.asarray(np.maximum(np.bincount(E.ravel(), minlength=NV), 1).astype(np.float32)) +EI, EJ = jnp.asarray(E[:, 0]), jnp.asarray(E[:, 1]) +import posefit_mesh as PM + + +def posed_with(pp, V): + pose = pose_from_params(pp) + Pj, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = Pj[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + if "clav" in pp: + Rc = R[JI["chest"]] + tb = tb + PM.ARM_L[:, None] * (Rc @ pp["clav"][0])[None] + PM.ARM_R[:, None] * (Rc @ pp["clav"][1])[None] + X = jnp.einsum("bij,vj->vbi", Rb, V) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def sdf_sq(mask): + """signed distance (px, + outside) to the boundary of the union of pixel squares, sampled on a SUPx grid""" + m4 = np.kron(mask, np.ones((SUP, SUP), bool)) + return ((distance_transform_edt(~m4) - distance_transform_edt(m4)) / SUP).astype(np.float32) + + +def bilin(img, p): + x = jnp.clip(p[:, 0] * SUP - 0.5, 0, img.shape[1] - 1.001); y = jnp.clip(p[:, 1] * SUP - 0.5, 0, img.shape[0] - 1.001) + x0 = jnp.floor(x).astype(int); y0 = jnp.floor(y).astype(int); fx, fy = x - x0, y - y0 + return (img[y0, x0] * (1 - fx) * (1 - fy) + img[y0, x0 + 1] * fx * (1 - fy) + img[y0 + 1, x0] * (1 - fx) * fy + + img[y0 + 1, x0 + 1] * fx * fy) + + +def targets_of(mask, unknown): + pts = [] + H_, W_ = mask.shape + for dy, dx in ((-1, 0), (1, 0), (0, -1), (0, 1)): + nb = np.zeros_like(mask); nbu = np.zeros_like(mask) + ys, xs = np.nonzero(mask) + ny, nx = ys + dy, xs + dx + ok = (ny >= 0) & (ny < H_) & (nx >= 0) & (nx < W_) + outside = np.ones(len(ys), bool); outside[ok] = ~mask[ny[ok], nx[ok]] + hid = np.zeros(len(ys), bool); hid[ok] = unknown[ny[ok], nx[ok]] + sel = outside & ~hid + pts.append(np.stack([xs[sel] + 0.5 + 0.5 * dx, ys[sel] + 0.5 + 0.5 * dy], 1)) + return np.concatenate(pts, 0).astype(np.float32) + + +def loss_fn(Dpx, pp, sdf_r, sdf_a, tg, tm, rp, rm, w_rep, mounted, cand, cmask): + D = Dpx / 36.0 + X = posed_with(pp, V0 + D) + lin = 0.0; lcov = 0.0; lrep = 0.0 + for d in VIEWS: + p = project(X, d) + s = jnp.where(LEGV & mounted, bilin(sdf_a[d], p), bilin(sdf_r[d], p)) + lin += jnp.mean(jax.nn.relu(s + 0.08) ** 2) * 50.0 + jnp.max(jax.nn.relu(s + 0.08)) * 0.5 + pc = p[cand[d]] + (1.0 - cmask[d])[:, None] * 1e4 # padded candidates pushed far away + dist = jnp.sqrt(jnp.min(jnp.sum((tg[d][:, None, :] - pc[None, :, :]) ** 2, -1), 1) + 1e-9) + lcov += jnp.sum(tm[d] * jax.nn.relu(dist - 0.3) ** 2) / (jnp.sum(tm[d]) + 1.0) * 20.0 + dr = jnp.sqrt(jnp.sum((rp[d][:, None, :] - pc[None, :, :]) ** 2, -1) + 1e-9) + lrep += jnp.sum(rm[d][:, None] * jax.nn.relu(0.8 - dr) ** 2) * w_rep + lap = Dpx - (jax.ops.segment_sum(Dpx[EJ], EI, NV) + jax.ops.segment_sum(Dpx[EI], EJ, NV)) / deg[:, None] + reg = jnp.sum(lap ** 2) * float(os.environ.get("UO_CLAP", "0.05")) + jnp.sum(Dpx ** 2) * 0.0005 + return lin + lcov + lrep + reg, (lin, lcov, lrep) + + +vg = jax.jit(jax.value_and_grad(loss_fn, has_aux=True)) + + +def raster_check(Dpx, pp, masks, unknown): + X = posed_with(pp, V0 + jnp.asarray(Dpx) / 36.0) + red = blue = area = 0; blue_pts = [] + for d in range(5): + if d not in VIEWS: + blue_pts.append(np.zeros((0, 2), np.float32)); continue + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~unknown[d] + s = masks[d] + b = mk & ~s; r = s & ~mk + red += r.sum(); blue += b.sum(); area += s.sum() + ys, xs = np.nonzero(b); blue_pts.append(np.stack([xs + 0.5, ys + 0.5], 1).astype(np.float32)) + return red, blue, area, blue_pts + + + + +def frame_data(Mi, hidi): + sdf_r = jnp.asarray(np.stack([sdf_sq(Mi[d]) for d in range(5)])) + sdf_a = jnp.asarray(np.stack([sdf_sq(Mi[d] | hidi[d]) for d in range(5)])) + tg = np.zeros((5, NT, 2), np.float32); tm = np.zeros((5, NT), np.float32) + for d in range(5): + t = targets_of(Mi[d], hidi[d]) + if len(t) > NT: + t = t[np.linspace(0, len(t) - 1, NT).astype(int)] + tg[d, :len(t)] = t; tm[d, :len(t)] = 1 + return sdf_r, sdf_a, jnp.asarray(tg), jnp.asarray(tm) + + +def candidates(pp, Dpx, sdf_r): + Xc = np.asarray(posed_with(pp, V0 + Dpx / 36.0)) + cand = np.zeros((5, NC), np.int32); cmask = np.zeros((5, NC), np.float32) + for d in range(5): + pc = np.asarray(project(jnp.asarray(Xc), d)) + sd = np.asarray(bilin(sdf_r[d], jnp.asarray(pc))) + idx = np.nonzero(np.abs(sd) < 4.0)[0] + if len(idx) > NC: + idx = idx[np.argsort(np.abs(sd[idx]))[:NC]] + cand[d, :len(idx)] = idx; cmask[d, :len(idx)] = 1 + return jnp.asarray(cand), jnp.asarray(cmask) + + +# ---- pixel-level (raster-aligned) helpers used by stages 3 and 4 +NP = 512 # max (pixel, triangle) pairs per view +TRI = jnp.asarray(tris) + + +def bary_min(p, t, c): + """min barycentric coordinate of point c in projected triangle t (p: projected vertices)""" + A, B, C = p[TRI[t, 0]], p[TRI[t, 1]], p[TRI[t, 2]] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + den = jnp.where(jnp.abs(den) < 1e-6, 1e-6, den) + l0 = ((B[:, 1] - C[:, 1]) * (c[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (c[:, 1] - C[:, 1])) / den + l1 = ((C[:, 1] - A[:, 1]) * (c[:, 0] - C[:, 0]) + (A[:, 0] - C[:, 0]) * (c[:, 1] - C[:, 1])) / den + return jnp.minimum(jnp.minimum(l0, l1), 1 - l0 - l1) + + + +def raster_ids(P2): + """per pixel centre: list of covering triangle ids (all layers)""" + cover = {} + mn = np.floor(P2.min(1)).astype(int); mx = np.ceil(P2.max(1)).astype(int) + A, B, C = P2[:, 0], P2[:, 1], P2[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + ids = [] + for dy in range(int(size[:, 1].max()) + 1): + for dx in range(int(size[:, 0].max()) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy; cx, cy = px + 0.5, py + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px >= 0) & (py >= 0) & (px < CANVAS_W) & (py < CANVAS_H) + ids.append(np.stack([py[k], px[k], t[k]], 1)) + return np.concatenate(ids, 0) + + +def pairs_for(P2, s, unknown): + """exclusion pairs (blue pixel, covering triangle) and inclusion pairs (red pixel, nearest triangle)""" + ids = raster_ids(P2) + cov = np.zeros(s.shape, bool); cov[ids[:, 0], ids[:, 1]] = True; cov &= ~unknown + blue = cov & ~s; red = s & ~cov + sel = blue[ids[:, 0], ids[:, 1]] + ex = ids[sel] + ex_c = np.stack([ex[:, 1] + 0.5, ex[:, 0] + 0.5], 1); ex_t = ex[:, 2] + ry, rx = np.nonzero(red) + cen = P2.mean(1) + in_t = np.array([np.argmin(((cen - [x + 0.5, y + 0.5]) ** 2).sum(1)) for y, x in zip(ry, rx)], int) + in_c = np.stack([rx + 0.5, ry + 0.5], 1) if len(rx) else np.zeros((0, 2)) + return (ex_t, ex_c), (in_t, in_c), int(blue.sum()), int(red.sum()) + + +def pad(t, c): + tt = np.zeros(NP, np.int32); cc = np.zeros((NP, 2), np.float32); mm = np.zeros(NP, np.float32) + n = min(len(t), NP); tt[:n] = t[:n]; cc[:n] = c[:n]; mm[:n] = 1 + return tt, cc, mm + + diff --git a/third_party/UO_Model3D_v13/pipeline/delight_bake.py b/third_party/UO_Model3D_v13/pipeline/delight_bake.py new file mode 100644 index 0000000..17b90d4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/delight_bake.py @@ -0,0 +1,125 @@ +"""Separate albedo from the UO lighting: sprite = albedo * (ambient + diffuse * max(0, n.L)), light fixed to the camera. +Estimates L, ambient, diffuse from all frames and bakes an albedo texture (linear model, sRGB output).""" +import sys, pickle, time +import numpy as np +from scipy.optimize import least_squares +TEX = 1024 +sys.argv = ["bake_all.py"] +src = open("bake_all.py").read() +exec(src.split("def gather(")[0]) # setup: mesh, poses, texel map, cores, colors, raster_vec, vert_normals + + +def srgb2lin(c): + c = c / 255.0 + return np.where(c <= 0.04045, c / 12.92, ((c + 0.055) / 1.055) ** 2.4) + + +def lin2srgb(c): + c = np.clip(c, 0, 1) + return np.where(c <= 0.0031308, c * 12.92, 1.055 * c ** (1 / 2.4) - 0.055) * 255.0 + + +def visible_samples(s, d, X, nrm, Pt, Nt, zcache): + f = np.asarray(FWD[d]); depth = X @ f + if (s, d) not in zcache: + zb = np.full((H * SS, Wc * SS), -np.inf) + pd = (ANCHOR_X + PX_OFF + SC * (X @ np.asarray(RIGHT[d])), ANCHOR_Y - SC * (X @ np.asarray(UP[d]))) + P2 = np.stack(pd, 1) + zt, zx, zy, zbc = raster_vec(P2[tris] * SS, None, Wc * SS, H * SS) + np.maximum.at(zb, (zy, zx), np.einsum("nk,nk->n", zbc, depth[tris[zt]])) + zcache[(s, d)] = zb + zb = zcache[(s, d)] + sx = ANCHOR_X + PX_OFF + SC * (Pt @ np.asarray(RIGHT[d])); sy = ANCHOR_Y - SC * (Pt @ np.asarray(UP[d])) + dz = Pt @ f; facing = Nt @ f + xi, yi = np.floor(sx).astype(int), np.floor(sy).astype(int) + zx_, zy_ = np.clip(np.floor(sx * SS).astype(int), 0, Wc * SS - 1), np.clip(np.floor(sy * SS).astype(int), 0, H * SS - 1) + ok = (xi >= 0) & (xi < Wc) & (yi >= 0) & (yi < H) & (facing > 0.2) + ok &= dz >= zb[zy_, zx_] - 0.015 + ok[ok] &= cores[s, d][yi[ok], xi[ok]] + idx = np.nonzero(ok)[0] + col = srgb2lin(colors[s][d][yi[idx], xi[idx]].astype(np.float64)) + ncam = np.stack([Nt[idx] @ np.asarray(RIGHT[d]), Nt[idx] @ np.asarray(UP[d]), Nt[idx] @ f], 1) + return idx, col, ncam, facing[idx] ** 2 + + +def frame_geom(s): + pp = {k: poses[k][s] for k in ("ball", "hinge", "trans")} + _, X = forward(delta, pp) + X = np.asarray(X); nrm = vert_normals(X) + Pt = np.einsum("nk,nkd->nd", tb, X[tris[tt]]) + Nt = np.einsum("nk,nkd->nd", tb, nrm[tris[tt]]) + Nt /= np.maximum(np.linalg.norm(Nt, axis=1, keepdims=True), 1e-12) + return X, nrm, Pt, Nt + + +# ---- 1) subsample for the light fit +rng = np.random.default_rng(0) +I, C, N, Wt = [], [], [], [] +for s in range(0, NS, 3): + X, nrm, Pt, Nt = frame_geom(s) + for d in range(5): + idx, col, ncam, w = visible_samples(s, d, X, nrm, Pt, Nt, {}) + k = rng.random(len(idx)) < 0.25 + I.append(idx[k]); C.append(col[k]); N.append(ncam[k]); Wt.append(w[k]) +I = np.concatenate(I); C = np.concatenate(C); N = np.concatenate(N); Wt = np.concatenate(Wt) +print("light-fit samples", len(I), f"{time.time()-t0:.0f}s", flush=True) + + +def shading(params, n): + th, ph, amb, dif = params + L = np.array([np.sin(th) * np.cos(ph), np.sin(th) * np.sin(ph), np.cos(th)]) + return amb + dif * np.maximum(n @ L, 0.0) + + +def albedo_from(params): + sh = shading(params, N) + num = np.zeros((NT, 3)); den = np.zeros(NT) + np.add.at(num, I, Wt[:, None] * C * sh[:, None]); np.add.at(den, I, Wt * sh * sh) + return num / np.maximum(den, 1e-9)[:, None], den > 0 + + +params = np.array([0.8, 2.3, 0.4, 0.6]) # initial: light from upper-left-front, 40% ambient +sel = rng.choice(len(I), min(400000, len(I)), replace=False) +for it in range(4): + rho, has = albedo_from(params) + ok = has[I[sel]] + def res(p): + p = np.array([p[0], p[1], p[2], 1.0 - p[2]]) # amb + dif = 1 (scale lives in the albedo) + return (np.sqrt(Wt[sel][ok])[:, None] * (rho[I[sel][ok]] * shading(p, N[sel][ok])[:, None] - C[sel][ok])).ravel() + r = least_squares(res, params[:3], bounds=([0.0, -np.pi, 0.05], [np.pi, np.pi, 0.95])) + params = np.array([r.x[0], r.x[1], r.x[2], 1.0 - r.x[2]]) + th, ph = params[:2] + L = [np.sin(th) * np.cos(ph), np.sin(th) * np.sin(ph), np.cos(th)] + print(f"iter {it}: light dir (camera: right,up,toward) {np.round(L,3)} ambient {params[2]:.3f} diffuse {params[3]:.3f} " + f"rms {np.sqrt(np.mean(r.fun**2)):.4f}", flush=True) + +# ---- 2) full albedo bake (robust, streaming, 2 passes) +def full_pass(prev=None, sigma=0.08): + num = np.zeros((NT, 3)); den = np.zeros(NT) + for s in range(NS): + X, nrm, Pt, Nt = frame_geom(s) + zc = {} + for d in range(5): + idx, col, ncam, w = visible_samples(s, d, X, nrm, Pt, Nt, zc) + sh = shading(params, ncam) + if prev is not None: + diff = np.linalg.norm(prev[idx] * sh[:, None] - col, axis=1) + w = w * np.exp(-0.5 * (diff / sigma) ** 2) + np.add.at(num, idx, w[:, None] * col * sh[:, None]); np.add.at(den, idx, w * sh * sh) + return num / np.maximum(den, 1e-9)[:, None], den + + +alb1, _ = full_pass() +alb2, den = full_pass(alb1) +print("albedo covered %.1f%%" % (100 * (den > 1e-9).mean()), f"{time.time()-t0:.0f}s", flush=True) +tex = np.zeros((TEX, TEX, 3)); wt = np.zeros((TEX, TEX)) +tex[ty, tx] = lin2srgb(alb2); wt[ty, tx] = den > 1e-9 +from texbake import pull_push_fill +from PIL import Image +filled = pull_push_fill(tex, wt) +Image.fromarray(np.clip(filled, 0, 255).astype(np.uint8)).save("UO_Body_Albedo.png") +th, ph = params[:2] +light = dict(L_camera=[float(np.sin(th) * np.cos(ph)), float(np.sin(th) * np.sin(ph)), float(np.cos(th))], + ambient=float(params[2]), diffuse=float(params[3])) +pickle.dump(light, open("uo_light.pkl", "wb")) +print("saved UO_Body_Albedo.png", light, flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/diag_offset.py b/third_party/UO_Model3D_v13/pipeline/diag_offset.py new file mode 100644 index 0000000..4304aa9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/diag_offset.py @@ -0,0 +1,28 @@ +import sys +sys.argv=['refine_mesh.py','0'] +exec(open('refine_mesh.py').read().split('params = dict(delta=')[0]) +import pickle +from texbake import tri_raster +r=pickle.load(open('refine_mesh.pkl','rb')) +params=dict(delta=jnp.asarray(r['delta']), **{k:jnp.asarray(v) for k,v in r['poses'].items()}) +def raster_mask(q): + m=np.zeros((H,Wc),bool) + def fn(t,xs,ys,bc): m[ys,xs]=True + tri_raster(q[tris],fn,Wc,H) + return m +rng=np.random.default_rng(1); pick=rng.choice(NS,25,replace=False) +proj={} +for s in pick: + pp={k:params[k][s] for k in ('ball','hinge','trans')} + p,_=forward(params['delta'],pp); proj[s]=np.asarray(p) +best=None +for ox in (-1.0,-0.5,0.0,0.5,1.0): + for oy in (-1.0,-0.5,0.0,0.5,1.0): + tot=[0,0] + for s in pick: + for d in range(5): + m=raster_mask(proj[s][d]+np.array([ox,oy])); sm=masks[s,d] + tot[0]+=(m&sm).sum(); tot[1]+=(m|sm).sum() + iou=tot[0]/tot[1]; print(f"offset x {ox:+.1f} y {oy:+.1f} IoU {iou:.4f}", flush=True) + if best is None or iou>best[0]: best=(iou,ox,oy) +print('best',best) diff --git a/third_party/UO_Model3D_v13/pipeline/err_parts.py b/third_party/UO_Model3D_v13/pipeline/err_parts.py new file mode 100644 index 0000000..611f413 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/err_parts.py @@ -0,0 +1,65 @@ +"""Attribute silhouette errors to body parts: red = sprite-only px (nearest model part), blue = model-only px.""" +import sys, pickle, numpy as np, jax, jax.numpy as jnp +from scipy.ndimage import distance_transform_edt +from posefit_mesh import * +from posefit_mesh import _posed_j +from vd import ACTIONS_PEOPLE +P = pickle.load(open(sys.argv[1], "rb")) +ACTS = [int(x) for x in sys.argv[2].split(",")] if len(sys.argv) > 2 else [a for a in range(35) if a not in MOUNTED] +groups = ["head", "neck", "chest", "spine", "pelvis", "upperarm", "forearm", "hand", "thigh", "shin", "foot"] +Wn = np.asarray(md["W"]); bones = md["bones"] +def grp(b): + n = b.split(".")[0] + for g in groups: + if n.startswith(g): return g + return {"shoulder": "upperarm", "clavicle": "chest"}.get(n, n) +bg = [grp(b) for b in bones] +G = sorted(set(bg)); gi = {g: i for i, g in enumerate(G)} +vlab = np.array([gi[bg[j]] for j in Wn.argmax(1)]) +tlab = vlab[tris[:, 0]] +print("groups", G) + +def raster_lab(Pt, lab): + mn = np.floor(Pt.min(1)).astype(int); mx = np.ceil(Pt.max(1)).astype(int) + size = np.clip(mx - mn, 0, 12) + a, b, c = Pt[:, 0], Pt[:, 1], Pt[:, 2] + den = (b[:, 1] - c[:, 1]) * (a[:, 0] - c[:, 0]) + (c[:, 0] - b[:, 0]) * (a[:, 1] - c[:, 1]) + ok = np.abs(den) > 1e-12 + img = np.full((CANVAS_H, CANVAS_W), -1) + for dy in range(int(size[:, 1].max()) + 1): + for dx in range(int(size[:, 0].max()) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy; cx, cy = px + 0.5, py + 0.5 + aa, bb, cc, dd = a[t], b[t], c[t], den[t] + l0 = ((bb[:, 1] - cc[:, 1]) * (cx - cc[:, 0]) + (cc[:, 0] - bb[:, 0]) * (cy - cc[:, 1])) / dd + l1 = ((cc[:, 1] - aa[:, 1]) * (cx - cc[:, 0]) + (aa[:, 0] - cc[:, 0]) * (cy - cc[:, 1])) / dd + l2 = 1 - l0 - l1 + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (l2 >= -1e-4) & (px >= 0) & (py >= 0) & (px < CANVAS_W) & (py < CANVAS_H) + img[py[k], px[k]] = lab[t[k]] + return img + +red = np.zeros((35, len(G))); blue = np.zeros((35, len(G))); area = np.zeros(35) +for a in ACTS: + T = targets(a); masks = T[..., 3] > 127; F = len(T) + hidden = (horse_masks(a, F) & ~masks) if a in HORSE_OF else np.zeros_like(masks) + for i in range(F): + X = np.asarray(_posed_j({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()})) + for d in range(5): + L = raster_lab(np.asarray(project(jnp.asarray(X), d))[tris], tlab) + L[hidden[i, d]] = -1 + mk = L >= 0; s = masks[i, d] + area[a] += s.sum() + b = mk & ~s + np.add.at(blue[a], L[b], 1) + r = s & ~mk + if r.any(): + _, (iy, ix) = distance_transform_edt(~mk, return_indices=True) + np.add.at(red[a], L[iy[r], ix[r]], 1) +tot_r = red.sum(0); tot_b = blue.sum(0) +print("%-10s %8s %8s (pixels, all listed actions)" % ("part", "sprite+", "model+")) +for g in G: + print("%-10s %8d %8d" % (g, tot_r[gi[g]], tot_b[gi[g]])) +print("per action worst part (sprite-only):") +for a in ACTS: + j = red[a].argmax(); k = blue[a].argmax() + print(f"{a:2d} {ACTIONS_PEOPLE[a]:22s} red {red[a].sum()/area[a]:.3f} ({G[j]} {red[a,j]/area[a]:.3f}) blue {blue[a].sum()/area[a]:.3f} ({G[k]} {blue[a,k]/area[a]:.3f})") diff --git a/third_party/UO_Model3D_v13/pipeline/export.py b/third_party/UO_Model3D_v13/pipeline/export.py new file mode 100644 index 0000000..53a95b1 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/export.py @@ -0,0 +1,34 @@ +import bpy, sys, os +blend = sys.argv[sys.argv.index("--blend") + 1] +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +base = os.path.splitext(os.path.abspath(blend))[0] +arm = bpy.data.objects["UO_Rig"] +arm.animation_data.action = bpy.data.actions.get("04_stand") or arm.animation_data.action +# exporters understand a plain Principled BSDF with a base-colour texture: bypass the "UO look" mix for export +for m in bpy.data.materials: + if m.use_nodes: + nodes = m.node_tree.nodes + out = next((n for n in nodes if n.type == "OUTPUT_MATERIAL"), None) + bsdf = next((n for n in nodes if n.type == "BSDF_PRINCIPLED"), None) + if out and bsdf: + m.node_tree.links.new(bsdf.outputs["BSDF"], out.inputs["Surface"]) +body = bpy.data.objects["UO_Body"] +if body.data.shape_keys: # per-frame corrective keys only serve the UO renders inside Blender + body.shape_key_clear() +bpy.ops.object.select_all(action="DESELECT") +for name in ("UO_Rig", "UO_Body"): # the body model only (no example clothing, camera or lights) + bpy.data.objects[name].select_set(True) +bpy.context.view_layer.objects.active = bpy.data.objects["UO_Rig"] +bpy.ops.export_scene.gltf( + filepath=base + ".glb", export_format="GLB", use_selection=True, + export_animations=True, export_animation_mode="ACTIONS", export_skins=True, + export_texcoords=True, export_normals=True, export_materials="EXPORT", + export_cameras=False, export_lights=False, export_yup=True, export_apply=False, + export_force_sampling=True, export_optimize_animation_size=False) +bpy.ops.export_scene.fbx( + filepath=base + ".fbx", use_selection=True, object_types={"ARMATURE", "MESH"}, + add_leaf_bones=False, bake_anim=True, bake_anim_use_all_actions=True, + bake_anim_use_nla_strips=False, bake_anim_force_startend_keying=True, + path_mode="COPY", embed_textures=True, primary_bone_axis="Y", secondary_bone_axis="X", + use_armature_deform_only=False, mesh_smooth_type="FACE") +print("exported", base + ".glb", base + ".fbx") diff --git a/third_party/UO_Model3D_v13/pipeline/extract_tiledata.py b/third_party/UO_Model3D_v13/pipeline/extract_tiledata.py new file mode 100644 index 0000000..8435598 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/extract_tiledata.py @@ -0,0 +1,85 @@ +"""Wearable items of the UO client joined with their animation and with the measured extents. + +tiledata.mul (High Seas layout: 0x4000 land tiles of 30 bytes, 0x10000 item tiles of 41 bytes, a 4-byte header before every +32 tiles) gives for every wearable item its animation id and layer. Bodyconv.def says in which file the animation lives +(orig -> anim2 / anim3 / anim4 / anim5 id; no line = same id in anim.mul). equipment_extent.json (measure_equipment_extent.py) +gives the extent of that animation around the anchor. + + python extract_tiledata.py +""" +import json, struct, sys +from collections import defaultdict + +LAYERS = {1: "OneHanded", 2: "TwoHanded", 3: "Shoes", 4: "Pants", 5: "Shirt", 6: "Helm", 7: "Gloves", 8: "Ring", 9: "Talisman", + 10: "Neck", 11: "Hair", 12: "Waist", 13: "InnerTorso", 14: "Bracelet", 16: "FacialHair", 17: "MiddleTorso", + 18: "Earrings", 19: "Arms", 20: "Cloak", 21: "Backpack", 22: "OuterTorso", 23: "OuterLegs", 24: "InnerLegs"} +WEARABLE = 0x00400000 +FILES = ("anim2", "anim3", "anim4", "anim5") +CANVASES = {"136x120": dict(left=68, right=68, up=86, down=34), "256x256": dict(left=128, right=128, up=192, down=64)} + + +def read_items(path): + d = open(path, "rb").read() + off = 512 * (4 + 32 * 30) # land tiles + items = [] + for g in range(0x10000 // 32): + off += 4 + for i in range(32): + flags, weight, quality, misc, unk2, qty, anim, unk3, hue, stack, value, height = struct.unpack_from("= 5 and all(x.lstrip("-").isdigit() for x in t[:5]): + o, *a = [int(x) for x in t[:5]] + for f, v in zip(FILES, a): + if v >= 0: + m[o] = (f, v) + break + return m + + +if __name__ == "__main__": + tdata, bconv, ext_path, out = sys.argv[1:5] + ext = json.load(open(ext_path))["bodies"] + conv = read_bodyconv(bconv) + anims = defaultdict(lambda: dict(layers=set(), items=[])) + for tid, flags, layer, anim, name in read_items(tdata): + if flags & WEARABLE and anim: + a = anims[anim] + a["layers"].add(layer) + a["items"].append((tid, name)) + res = {} + for anim, a in sorted(anims.items()): + src = "%s:%d" % conv.get(anim, ("anim", anim)) + e = ext.get(src) + res[anim] = dict(src=src, layers=sorted(a["layers"]), n_items=len(a["items"]), items=a["items"][:6], + extent={k: e[k] for k in ("left", "right", "up", "down")} if e else None, frames=e["frames"] if e else 0, + complete=bool(e and e["blocks"] == 175)) + stats = {} + print("wearable animation ids: %d, with frames in the client: %d" % (len(res), sum(1 for r in res.values() if r["extent"]))) + for layer in sorted({l for r in res.values() for l in r["layers"]}): + rows = [r for r in res.values() if layer in r["layers"] and r["extent"]] + if not rows: + continue + s = {"animations": len(rows)} + for cname, cv in CANVASES.items(): + out_ = [r for r in rows if any(r["extent"][k] > cv[k] for k in cv)] + s["over_" + cname] = len(out_) + s["max_over_" + cname] = max((max(r["extent"][k] - cv[k] for k in cv) for r in rows), default=0) + stats[LAYERS.get(layer, str(layer))] = s + print("%-12s %3d animations | outside 136x120: %3d (worst +%3d px) | outside 256x256: %2d (worst +%3d px)" % ( + LAYERS.get(layer, layer), s["animations"], s["over_136x120"], s["max_over_136x120"], s["over_256x256"], s["max_over_256x256"])) + out_rows = [(a, r) for a, r in res.items() if r["extent"] and any(r["extent"][k] > CANVASES["256x256"][k] for k in CANVASES["256x256"])] + print("outside 256x256:") + for a, r in out_rows: + print(" anim id %4d (%s) layers %s extent %s items %s" % (a, r["src"], [LAYERS.get(l, l) for l in r["layers"]], r["extent"], [n for _, n in r["items"][:3]])) + json.dump(dict(layers=LAYERS, stats_by_layer=stats, animations={str(a): r for a, r in res.items()}), open(out, "w"), indent=1) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v10.py b/third_party/UO_Model3D_v13/pipeline/finalize_v10.py new file mode 100644 index 0000000..be7e132 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v10.py @@ -0,0 +1,18 @@ +"""final_poses_v10.pkl = v10pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v10pre.pkl", "rb")); v6 = pickle.load(open("final_poses_v9_ref.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_K11.pkl",): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v9") + "+dejitter") +pickle.dump(out, open("final_poses_v10.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v9 IoU najgorszy | v9 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v6[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v6[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v6[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v10.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v6.py b/third_party/UO_Model3D_v13/pipeline/finalize_v6.py new file mode 100644 index 0000000..97c60cf --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v6.py @@ -0,0 +1,18 @@ +"""final_poses_v6.pkl = v6pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v6pre.pkl", "rb")); v5 = pickle.load(open("final_poses_v5.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_J1.pkl", "posefit_J2.pkl"): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v5") + "+dejitter") +pickle.dump(out, open("final_poses_v6.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v5 IoU najgorszy | v5 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v5[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v5[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v5[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v6.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v7.py b/third_party/UO_Model3D_v13/pipeline/finalize_v7.py new file mode 100644 index 0000000..8475bd4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v7.py @@ -0,0 +1,18 @@ +"""final_poses_v7.pkl = v7pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v7pre.pkl", "rb")); v6 = pickle.load(open("final_poses_v6.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_K1.pkl", "posefit_K2.pkl"): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v6") + "+dejitter") +pickle.dump(out, open("final_poses_v7.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v6 IoU najgorszy | v6 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v6[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v6[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v6[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v7.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v8.py b/third_party/UO_Model3D_v13/pipeline/finalize_v8.py new file mode 100644 index 0000000..df76159 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v8.py @@ -0,0 +1,18 @@ +"""final_poses_v8.pkl = v8pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v8pre.pkl", "rb")); v6 = pickle.load(open("final_poses_v7.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_K8.pkl",): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v7") + "+dejitter") +pickle.dump(out, open("final_poses_v8.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v7 IoU najgorszy | v7 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v6[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v6[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v6[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v8.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v8b.py b/third_party/UO_Model3D_v13/pipeline/finalize_v8b.py new file mode 100644 index 0000000..1b5b551 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v8b.py @@ -0,0 +1,18 @@ +"""final_poses_v8.pkl = v8pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v8bpre.pkl", "rb")); v6 = pickle.load(open("final_poses_v7.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_K9.pkl",): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v7") + "+dejitter") +pickle.dump(out, open("final_poses_v8.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v7 IoU najgorszy | v7 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v6[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v6[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v6[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v8.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/finalize_v9.py b/third_party/UO_Model3D_v13/pipeline/finalize_v9.py new file mode 100644 index 0000000..a68495a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/finalize_v9.py @@ -0,0 +1,18 @@ +"""final_poses_v9.pkl = v9pre with the de-jittered actions + quality table (Polish headers like v5).""" +import pickle, numpy as np +from vd import ACTIONS_PEOPLE +pre = pickle.load(open("final_poses_v9pre.pkl", "rb")); v6 = pickle.load(open("final_poses_v8a_ref.pkl", "rb")) +out = {a: dict(r) for a, r in pre.items()} +for f in ("posefit_K10.pkl",): + for a, r in pickle.load(open(f, "rb")).items(): + out[a] = dict(r, src=pre[a].get("src", "v8") + "+dejitter") +pickle.dump(out, open("final_poses_v9.pkl", "wb")) +L = ["| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | v8 IoU najgorszy | v8 IoU średnie |", "|---|---|---|---|---|---|---|---|"] +for a in range(35): + r = out[a]["iou"]; o = v6[a]["iou"] + L.append(f"| {a} | {ACTIONS_PEOPLE[a]} | {r[:,0].mean():.3f} | {r[:,0].min():.3f} | {r[:,1].mean():.3f} | {out[a]['limits'].max():.4f} | {o[:,0].mean():.3f} | {o[:,1].mean():.3f} |") +w = np.mean([out[a]["iou"][:, 0].mean() for a in range(35)]); w5 = np.mean([v6[a]["iou"][:, 0].mean() for a in range(35)]) +m = np.mean([out[a]["iou"][:, 1].mean() for a in range(35)]); m5 = np.mean([v6[a]["iou"][:, 1].mean() for a in range(35)]) +L.append(f"| | **średnio** | **{w:.3f}** | | **{m:.3f}** | | {w5:.3f} | {m5:.3f} |") +open("quality_v9.md", "w").write("\n".join(L) + "\n") +print("\n".join(L[-3:])) diff --git a/third_party/UO_Model3D_v13/pipeline/fit.py b/third_party/UO_Model3D_v13/pipeline/fit.py new file mode 100644 index 0000000..e7aa61d --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/fit.py @@ -0,0 +1,152 @@ +import numpy as np +import jax +import jax.numpy as jnp +import optax +from body import * + +POS_KEYS = ["hip_w", "hip_drop", "thigh", "shin", "ankle_h", "spine0", "abd", "chest_len", "neck_len", + "sh_x", "sh_z", "uarm", "farm", "hand", "pelvis_r", "abd_r", "chest_r", "head_r", "neck_r", + "uarm_r", "farm_r", "hand_r", "thigh_r", "shin_r", "foot_len", "foot_r"] +FIXED_KEYS = ["scale"] + +# hinge axes (in parent-local rest frame of the joint) +_sa, _ca = np.sin(ARM_REST_ANGLE), np.cos(ARM_REST_ANGLE) +_sl, _cl = np.sin(LEG_REST_ANGLE), np.cos(LEG_REST_ANGLE) +HINGE = { + JI["elbow.L"]: np.array([_ca, 0, _sa]), JI["elbow.R"]: np.array([_ca, 0, -_sa]), + JI["knee.L"]: np.array([_cl, 0, _sl]), JI["knee.R"]: np.array([_cl, 0, -_sl]), +} +HINGE_IDX = sorted(HINGE) +BALL_IDX = [j for j in range(NJ) if j not in HINGE] +HINGE_AX = jnp.asarray(np.stack([HINGE[j] for j in HINGE_IDX]), jnp.float32) + + +def shape_to_params(S): + p = {} + for k, v in S.items(): + if k in FIXED_KEYS: + continue + p[k] = jnp.log(v) if k in POS_KEYS else v + return p + + +CENTER_KEYS = ["pelvis_c", "abd_c", "chest_c", "head_c"] + + +def params_to_shape(p, fixed): + S = dict(fixed) + for k, v in p.items(): + S[k] = jnp.exp(v) if k in POS_KEYS else v + if k in CENTER_KEYS: # bilateral symmetry: torso/head centres on the mid-plane + S[k] = S[k].at[0].set(0.0) + return S + + +# anatomical plausibility bounds (metres); (key, component or None, lo, hi) +BOUNDS = [ + ("neck_y", None, -0.08, 0.02), ("sh_y", None, -0.05, 0.05), + ("chest_len", None, 0.15, 0.30), ("abd", None, 0.10, 0.25), ("spine0", None, 0.05, 0.15), + ("pelvis_c", 1, -0.03, 0.03), ("pelvis_c", 2, -0.04, 0.08), + ("pelvis_r", 0, 0.12, 0.22), ("pelvis_r", 1, 0.08, 0.15), ("pelvis_r", 2, 0.08, 0.15), + ("abd_c", 1, -0.04, 0.02), ("abd_c", 2, 0.03, 0.15), + ("abd_r", 0, 0.11, 0.20), ("abd_r", 1, 0.08, 0.15), ("abd_r", 2, 0.08, 0.16), + ("chest_c", 1, -0.04, 0.02), ("chest_c", 2, 0.05, 0.20), + ("chest_r", 0, 0.14, 0.26), ("chest_r", 1, 0.09, 0.16), ("chest_r", 2, 0.10, 0.20), + ("head_c", 1, -0.06, 0.02), ("head_c", 2, 0.06, 0.14), + ("head_r", 0, 0.07, 0.11), ("head_r", 1, 0.09, 0.13), ("head_r", 2, 0.10, 0.14), + ("neck_len", None, 0.06, 0.16), ("neck_r", None, 0.04, 0.09), + ("hand_r", 0, 0.02, 0.045), ("hand_r", 1, 0.035, 0.06), ("hand_r", 2, 0.07, 0.10), + ("hand", None, 0.15, 0.24), ("foot_len", None, 0.22, 0.30), ("foot_r", 0, 0.03, 0.05), ("foot_r", 1, 0.03, 0.05), + ("heel_y", None, 0.0, 0.07), ("ankle_h", None, 0.06, 0.12), + ("uarm", None, 0.22, 0.34), ("farm", None, 0.20, 0.32), ("thigh", None, 0.34, 0.50), ("shin", None, 0.38, 0.48), + ("hip_w", None, 0.085, 0.13), ("hip_drop", None, 0.03, 0.10), ("sh_x", None, 0.15, 0.24), ("sh_z", None, 0.12, 0.25), + ("uarm_r", 0, 0.045, 0.085), ("uarm_r", 1, 0.04, 0.075), ("farm_r", 0, 0.04, 0.07), ("farm_r", 1, 0.03, 0.055), + ("thigh_r", 0, 0.07, 0.10), ("thigh_r", 1, 0.05, 0.085), ("shin_r", 0, 0.05, 0.085), ("shin_r", 1, 0.035, 0.06), + ("theta", None, 0.35, 0.75), +] + + +def bounds_penalty(S): + pen = 0.0 + for k, i, lo, hi in BOUNDS: + x = S[k] if i is None else S[k][i] + pen += (jax.nn.relu(lo - x) ** 2 + jax.nn.relu(x - hi) ** 2) * 1e4 + # keep a crotch gap: thighs must not overlap at the hips + pen += jax.nn.relu(S["thigh_r"][0] - (S["hip_w"] - 0.005)) ** 2 * 1e4 + return pen + + +TORSO_JOINTS = [JI[n] for n in ("spine", "chest", "neck", "head")] + + +def pose_from_params(pp): + rot = jnp.zeros((NJ, 3), jnp.float32) + rot = rot.at[jnp.array(BALL_IDX)].set(pp["ball"]) + rot = rot.at[jnp.array(HINGE_IDX)].set(pp["hinge"][:, None] * HINGE_AX) + return dict(rot=rot, trans=pp["trans"]) + + +def init_pose_params(kind="stand"): + ball = np.zeros((len(BALL_IDX), 3), np.float32) + bi = {j: i for i, j in enumerate(BALL_IDX)} + ball[bi[JI["shoulder.L"]]] = [0, 0.55, 0] + ball[bi[JI["shoulder.R"]]] = [0, -0.55, 0] + hinge = np.zeros(len(HINGE_IDX), np.float32) + hi = {j: i for i, j in enumerate(HINGE_IDX)} + hinge[hi[JI["elbow.L"]]] = -0.2 + hinge[hi[JI["elbow.R"]]] = -0.2 + hinge[hi[JI["knee.L"]]] = 0.05 + hinge[hi[JI["knee.R"]]] = 0.05 + return dict(ball=jnp.asarray(ball), hinge=jnp.asarray(hinge), trans=jnp.zeros(3, jnp.float32)) + + +def hinge_limit_penalty(h): + hi = {j: i for i, j in enumerate(HINGE_IDX)} + pen = 0.0 + for side in ("L", "R"): + e = h[hi[JI["elbow." + side]]] + k = h[hi[JI["knee." + side]]] + pen += jax.nn.relu(e) ** 2 + jax.nn.relu(-2.6 - e) ** 2 + pen += jax.nn.relu(-k) ** 2 + jax.nn.relu(k - 2.6) ** 2 + return pen + + +def foot_min_z(S, P, R): + (_, _), (ca, cb, ra, rb) = primitives(S, P, R) + # foot cones are the last two entries of each side block; take all cones' lowest points + z = jnp.concatenate([ca[:, 2] - ra, cb[:, 2] - rb]) + return jnp.min(z) + + +def torso_prior(pp): + bi = {j: i for i, j in enumerate(BALL_IDX)} + return sum(jnp.sum(pp["ball"][bi[j]] ** 2) for j in TORSO_JOINTS) + + +def frame_loss(S, pp, alpha, ground_w, pix=None, torso_w=0.0): + """alpha: (5,H,W) target coverage.""" + pose = pose_from_params(pp) + P, R = fk(S, pose) + occ = jnp.stack([render_sil(S, P, R, d, pix=pix) for d in range(5)]) + data = jnp.mean((occ - alpha) ** 2) * 100.0 + reg = 1e-3 * jnp.sum(pp["ball"] ** 2) + 1.0 * hinge_limit_penalty(pp["hinge"]) + torso_w * torso_prior(pp) + mz = foot_min_z(S, P, R) + ground = ground_w * (mz ** 2) * 100.0 + 10.0 * jax.nn.relu(-mz - 0.01) ** 2 * 100 + return data + reg + ground, data + + +def shape_prior(S, S0): + # keep symmetric-ish sane values; weak pull toward init to break degeneracy + pen = 0.0 + for k in POS_KEYS: + pen += 0.02 * jnp.sum((jnp.log(S[k]) - jnp.log(S0[k])) ** 2) + return pen + bounds_penalty(S) + + +def crop_box(alpha_np, margin=8): + """alpha_np (...,H,W) -> (y0,y1,x0,x1) bbox of union of nonzero pixels + margin.""" + m = alpha_np.reshape(-1, *alpha_np.shape[-2:]).max(0) > 0 + ys, xs = np.nonzero(m) + y0, y1 = max(0, ys.min() - margin), min(m.shape[0], ys.max() + 1 + margin) + x0, x1 = max(0, xs.min() - margin), min(m.shape[1], xs.max() + 1 + margin) + return y0, y1, x0, x1 diff --git a/third_party/UO_Model3D_v13/pipeline/foot_z.py b/third_party/UO_Model3D_v13/pipeline/foot_z.py new file mode 100644 index 0000000..254cb1e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/foot_z.py @@ -0,0 +1,16 @@ +import pickle, numpy as np, jax, jax.numpy as jnp +from posefit_mesh import * +from vd import ACTIONS_PEOPLE +P = pickle.load(open("final_poses_v5.pkl","rb")) +foot_cols=[md["bones"].index(b) for b in md["bones"] if b.split(".")[0]=="foot"] +FV = np.asarray(md["W"])[:,foot_cols].sum(1)>0.5 +pj = jax.jit(posed) +print("rest min z", float(np.asarray(V0)[:,2].min()), "rest foot min z", float(np.asarray(V0)[FV,2].min())) +for a in sorted(P): + p=P[a]["poses"]; F=p["trans"].shape[0] + fz=[];bz=[] + for i in range(F): + X=np.asarray(pj({k:jnp.asarray(v[i]) for k,v in p.items()})) + fz.append(X[FV,2].min()); bz.append(X[:,2].min()) + fz=np.array(fz); bz=np.array(bz) + print(f"{a:2d} {ACTIONS_PEOPLE[a]:24s} foot min {fz.min():+.3f} med {np.median(fz):+.3f} max {fz.max():+.3f} | body min {bz.min():+.3f} trans_z {p['trans'][:,2].min():+.3f}..{p['trans'][:,2].max():+.3f}") diff --git a/third_party/UO_Model3D_v13/pipeline/gross.py b/third_party/UO_Model3D_v13/pipeline/gross.py new file mode 100644 index 0000000..e3f2e21 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/gross.py @@ -0,0 +1,24 @@ +"""Split silhouette errors into 1-px boundary disagreement vs gross (>=2 px deep) errors, per action.""" +import sys, pickle, numpy as np, jax.numpy as jnp +from scipy.ndimage import distance_transform_edt +from posefit_mesh import * +from posefit_mesh import _posed_j +from vd import ACTIONS_PEOPLE +P = pickle.load(open(sys.argv[1], "rb")) +rows = [] +for a in range(35): + T = targets(a); m = T[..., 3] > 127; F = len(T) + hid = (horse_masks(a, F) & ~m) if a in HORSE_OF else np.zeros_like(m) + thin = gross = area = 0; worst = (0, None) + for i in range(F): + X = _posed_j({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()}) + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~hid[i, d] + s = m[i, d] + red = s & ~mk; blue = mk & ~s + dr = distance_transform_edt(~mk)[red]; db = distance_transform_edt(~s)[blue] + g = (dr > 1.5).sum() + (db > 1.5).sum() + thin += (dr <= 1.5).sum() + (db <= 1.5).sum(); gross += g; area += s.sum() + if g > worst[0]: worst = (g, (i, d)) + rows.append((a, thin / area, gross / area, worst)) + print(f"{a:2d} {ACTIONS_PEOPLE[a]:24s} thin {thin/area:.3f} gross {gross/area:.3f} worst frame/dir {worst[1]} ({worst[0]} px)", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/horse_hull.py b/third_party/UO_Model3D_v13/pipeline/horse_hull.py new file mode 100644 index 0000000..c20e501 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/horse_hull.py @@ -0,0 +1,161 @@ +"""Horse proxy meshes (visual hull from the 5 UO directions of each horse frame), in the rider's coordinate system. +Used as a HOLDOUT when rendering mounted actions: parts of the rider/clothing behind the horse disappear like in UO.""" +import sys, pickle +import numpy as np +from scipy.ndimage import gaussian_filter +from skimage import measure +import jax.numpy as jnp +from body import camera, CANVAS_W, CANVAS_H, ANCHOR_X, ANCHOR_Y +from fit import params_to_shape +sys.path.insert(0, "../vdtool") +import vdtool + +PX_OFF = 0.5 +RES = 0.015 +sf = pickle.load(open("shape_fit.pkl", "rb")) +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, {k: jnp.asarray(v) for k, v in sf["fixed"].items()}) +SC = float(S["scale"]) +CAM = [tuple(np.asarray(c) for c in camera(S, d)) for d in range(5)] +_, horse = vdtool.read_vd("horse200.vd") + +lo = np.array([-0.9, -1.8, -0.05]); hi = np.array([0.9, 1.8, 2.6]) +n = np.ceil((hi - lo) / RES).astype(int) +axes = [lo[i] + (np.arange(n[i]) + 0.5) * RES for i in range(3)] + + +def mask(ha, i, d): + blk = horse[ha * 5 + d] + fr = blk["frames"][i] + rgba = vdtool.frame_rgba(fr, blk["palette"]) + m = np.zeros((CANVAS_H + 200, CANVAS_W + 200), bool) # generous canvas: the horse is big + x0, y0 = ANCHOR_X + 100 - fr["cx"], ANCHOR_Y + 100 - (fr["cy"] + fr["h"]) + m[y0:y0 + fr["h"], x0:x0 + fr["w"]] = rgba[..., 3] > 0 + return m + + +RIDER_FRAME = None # (action, frame) whose evidence carves the proxy; None = all users + + +def _users(ha, i, poses_by_action): + if RIDER_FRAME is not None: + return [RIDER_FRAME] + users = {0: [23], 1: [24], 2: [25, 26, 27, 28, 29]}[ha] + out = [] + for a in users: + if a in poses_by_action: + F = poses_by_action[a]["trans"].shape[0] + out += [(a, k) for k in ([i] if ha in (0, 1) else range(F)) if k < F] + return out + + +def rider_volume(ha, i, poses_by_action): + """Union of the rider's posed body volumes over all mounted frames that use this horse frame (dilated).""" + from scipy.ndimage import binary_dilation, binary_fill_holes + from posefit_mesh import posed + vol = np.zeros(n, bool) + for a, k in _users(ha, i, poses_by_action): + p = poses_by_action[a] + X = np.asarray(posed({q: jnp.asarray(v[k]) for q, v in p.items()})) + idx = np.floor((X - lo) / RES).astype(int) + ok = np.all((idx >= 0) & (idx < n), 1) + shell = np.zeros(n, bool); shell[idx[ok, 0], idx[ok, 1], idx[ok, 2]] = True + shell = binary_dilation(shell, iterations=1) + vol |= binary_fill_holes(shell) + return binary_dilation(vol, iterations=1) + + +def rider_depth_maps(ha, i, poses_by_action): + """For every mounted frame that uses this horse frame: (view, rider sprite mask, rider depth-toward-camera map).""" + from posefit_mesh import posed, md + from targets import targets + tris = np.asarray(md["tris"]) + out = [] + for a, k in _users(ha, i, poses_by_action): + p = poses_by_action[a]; T = targets(a) + X = np.asarray(posed({q: jnp.asarray(v[k]) for q, v in p.items()})) + for d in range(5): + r, u = CAM[d]; f = np.cross(r, u) + P2 = np.stack([ANCHOR_X + PX_OFF + SC * (X @ r), ANCHOR_Y - SC * (X @ u)], 1)[tris] + Z = (X @ f)[tris] + zb = np.full((CANVAS_H, CANVAS_W), -np.inf) + mn = np.floor(P2.min(1)).astype(int); mx = np.ceil(P2.max(1)).astype(int) + A, B, C = P2[:, 0], P2[:, 1], P2[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + okt = np.abs(den) > 1e-12 + size = np.clip(mx - mn, 0, 8) + for dy in range(9): + for dx in range(9): + t = np.nonzero(okt & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy; cx, cy = px + 0.5, py + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + l2 = 1 - l0 - l1 + m = (l0 >= -1e-4) & (l1 >= -1e-4) & (l2 >= -1e-4) & (px >= 0) & (py >= 0) & (px < CANVAS_W) & (py < CANVAS_H) + z = l0[m] * Z[t[m], 0] + l1[m] * Z[t[m], 1] + l2[m] * Z[t[m], 2] + np.maximum.at(zb, (py[m], px[m]), z) + out.append((d, T[k, d][..., 3] > 127, zb)) + return out + + +def hull(ha, i, poses_by_action=None, erode=4): + X, Y = np.meshgrid(axes[0], axes[1], indexing="ij") + occ = np.ones(n, bool) + ms = [mask(ha, i, d) for d in range(5)] + for k, z in enumerate(axes[2]): + P = np.stack([X, Y, np.full_like(X, z)], -1) + keep = np.ones(X.shape, bool) + for d in range(5): + r, u = CAM[d] + px = np.floor(ANCHOR_X + 100 + PX_OFF + SC * (P @ r)).astype(int) + py = np.floor(ANCHOR_Y + 100 - SC * (P @ u)).astype(int) + ok = (px >= 0) & (py >= 0) & (px < ms[d].shape[1]) & (py < ms[d].shape[0]) + inside = np.zeros(X.shape, bool) + inside[ok] = ms[d][py[ok], px[ok]] + keep &= inside + occ[:, :, k] = keep + from scipy.ndimage import binary_erosion + if erode > 0: + occ = binary_erosion(occ, iterations=erode) # the hull of 5 same-elevation views is too fat / too tall + elif erode < 0: # fatter than the hull: the exact 2D horse mask clips it at render + from scipy.ndimage import binary_dilation + occ = binary_dilation(occ, iterations=-erode) + if poses_by_action: + occ &= ~rider_volume(ha, i, poses_by_action) # the horse is never where the rider's body is + # where the ORIGINAL rider sprite shows the rider, nothing of the horse is between the camera and the rider + Xg, Yg, Zg = np.meshgrid(axes[0], axes[1], axes[2], indexing="ij") + idx = np.nonzero(occ) + Pv = np.stack([Xg[idx], Yg[idx], Zg[idx]], 1) + carve = np.zeros(len(Pv), bool) + for d, smask, zb in rider_depth_maps(ha, i, poses_by_action): + r, u = CAM[d]; f = np.cross(r, u) + px = np.floor(ANCHOR_X + PX_OFF + SC * (Pv @ r)).astype(int); py = np.floor(ANCHOR_Y - SC * (Pv @ u)).astype(int) + ok = (px >= 0) & (py >= 0) & (px < CANVAS_W) & (py < CANVAS_H) + vis = np.zeros(len(Pv), bool); vis[ok] = smask[py[ok], px[ok]] + zr = np.full(len(Pv), -np.inf); zr[ok] = zb[py[ok], px[ok]] + carve |= vis & (Pv @ f > zr + 0.02) # voxel in front of a visible rider pixel + occ[idx[0][carve], idx[1][carve], idx[2][carve]] = False + print(" carved", int(carve.sum()), "voxels in front of the visible rider", flush=True) + vol = gaussian_filter(occ.astype(np.float32), 1.0) + v, f, _, _ = measure.marching_cubes(vol, 0.5, spacing=(RES, RES, RES)) + return v + lo, f[:, ::-1] + + +poses_by_action = {} +for f_ in sys.argv[1:]: + poses_by_action.update({a: r["poses"] for a, r in pickle.load(open(f_, "rb")).items() if a in range(23, 30)}) +print("rider poses for", sorted(poses_by_action)) +HORSE_OF = {23: 0, 24: 1, 25: 2, 26: 2, 27: 2, 28: 2, 29: 2} +import os +ERODE = int(os.environ.get("UO_ERODE", "-2")) # <0 = dilate; the exact 2D horse mask clips the proxy at render time +HULL_ACTS = [int(x) for x in os.environ.get("UO_HULL_ACTS", "23,24,25,26,27,28,29").split(",")] +HULL_OUT = os.environ.get("UO_HULL_OUT", "horse_hulls.pkl") +out = {} +for a in HULL_ACTS: + F = poses_by_action[a]["trans"].shape[0] + for k in range(F): + RIDER_FRAME = (a, k) + ha = HORSE_OF[a] + v, f = hull(ha, k if ha in (0, 1) else 0, poses_by_action, erode=ERODE) + out[(a, k)] = (v.astype(np.float32), f.astype(np.int32)) + print("rider action", a, "frame", k, "horse action", ha, "faces", len(f), flush=True) +pickle.dump(out, open(HULL_OUT, "wb")) diff --git a/third_party/UO_Model3D_v13/pipeline/identity.py b/third_party/UO_Model3D_v13/pipeline/identity.py new file mode 100644 index 0000000..70e057c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/identity.py @@ -0,0 +1,43 @@ +import pickle, numpy as np, jax, jax.numpy as jnp, optax +from body import *; from fit import *; from targets import targets +sf=pickle.load(open('shape_fit.pkl','rb')) +S=params_to_shape({k:jnp.asarray(v) for k,v in sf['params']['shape'].items()},{k:jnp.asarray(v) for k,v in sf['fixed'].items()}) +BI={j:i for i,j in enumerate(BALL_IDX)}; HI={j:i for i,j in enumerate(HINGE_IDX)} +MIR=jnp.array([1.0,-1.0,-1.0]) +def swap(pp, balls, hinges): + b,h=pp['ball'],pp['hinge'] + for l in balls: + il,ir=BI[JI[l+'.L']],BI[JI[l+'.R']]; bl,br=b[il],b[ir]; b=b.at[il].set(br*MIR).at[ir].set(bl*MIR) + for l in hinges: + il,ir=HI[JI[l+'.L']],HI[JI[l+'.R']]; hl,hr=h[il],h[ir]; h=h.at[il].set(hr).at[ir].set(hl) + return dict(ball=b,hinge=h,trans=pp['trans']) +VARIANTS={'as_fitted':lambda p:p,'legs_LR':lambda p:swap(p,['hip','ankle'],['knee']), + 'arms_LR':lambda p:swap(p,['shoulder','wrist'],['elbow']), + 'both_LR':lambda p:swap(p,['hip','ankle','shoulder','wrist'],['knee','elbow'])} +def make(a, mounted=False): + T=targets(a); Anp=T[...,3].astype(np.float32)/255 + y0,y1,x0,x1=crop_box(Anp,margin=10); A=jnp.asarray(Anp[...,y0:y1,x0:x1]); pix=PIX[y0:y1,x0:x1] + gw=0.0 if mounted else 1.0 + single=jax.jit(jax.value_and_grad(lambda pp,al: frame_loss(S,pp,al,gw,pix=pix)[0])) + @jax.jit + def views_loss(pp,al): + P,R=fk(S,pose_from_params(pp)) + return jnp.stack([jnp.mean((render_sil(S,P,R,d,pix=pix)-al[d])**2)*100 for d in range(5)]) + def refine(pp,al,n=300): + opt=optax.adam(0.015); st=opt.init(pp) + for _ in range(n): + l,g=single(pp,al); up,st=opt.update(g,st,pp); pp=optax.apply_updates(pp,up) + return pp + return A, refine, views_loss +if __name__=='__main__': + import sys + r1=pickle.load(open('anim_fit_run1.pkl','rb')); r2=pickle.load(open('anim_fit2a.pkl','rb')) + for name,res,a,frames in (('walk',r1,0,[0,5]),('run',r2,2,[0,5])): + A,refine,vl=make(a) + for i in frames: + pp={k:jnp.asarray(v[i]) for k,v in res[a]['poses'].items()} + out=[] + for vn,f in VARIANTS.items(): + q=refine(f(pp),A[i]); l=np.asarray(vl(q,A[i])) + out.append(f"{vn}: front+back {l[0]+l[4]:.2f} all {l.sum():.2f}") + print(name,'frame',i,' | '.join(out), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/inflate_test.py b/third_party/UO_Model3D_v13/pipeline/inflate_test.py new file mode 100644 index 0000000..b23f71f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/inflate_test.py @@ -0,0 +1,40 @@ +import os, sys, pickle, numpy as np +import jax.numpy as jnp +import posefit_mesh as PM +from posefit_mesh import evaluate, md +fin = pickle.load(open("final_poses.pkl", "rb")) +V = np.asarray(PM.V0) +tris = np.asarray(md["tris"]) +fn = np.cross(V[tris[:, 1]] - V[tris[:, 0]], V[tris[:, 2]] - V[tris[:, 0]]) +N = np.zeros_like(V) +for k in range(3): + np.add.at(N, tris[:, k], fn) +N /= np.maximum(np.linalg.norm(N, axis=1, keepdims=True), 1e-12) +W = np.asarray(md["W"]); b = md["bones"] +foot = W[:, [b.index("foot.L"), b.index("foot.R")]].sum(1) +ACTS = [0, 2, 4, 9, 16, 17, 20, 31, 33] +ank = {} +from posefit_mesh import P0 +from body import JI +for side in ("L", "R"): + ank[side] = np.asarray(P0[JI["ankle." + side]]) +fl = W[:, b.index("foot.L")]; fr = W[:, b.index("foot.R")] +for g, fx in [(0.004, 0), (0.005, 0), (0.007, 0), (0.008, 0), (0.006, 0.10), (0.006, 0.20)]: + Vs = V + N * g + # lengthen feet: push foot vertices forward (-Y) proportionally to how far in front of the ankle they are + for side, wf in (("L", fl), ("R", fr)): + fwd = np.clip(ank[side][1] - V[:, 1], 0, None) + Vs[:, 1] -= fx * fwd * wf + Vn = jnp.asarray(Vs, jnp.float32) + import jax + + def posed_v(pp, Vn=Vn): + pose = PM.pose_from_params(pp) + P, R = PM.fk(PM.S, pose) + Rb = R[PM.BONE_JOINT] + tb = P[PM.BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, PM.P0[PM.BONE_JOINT]) + X = jnp.einsum("bij,vj->vbi", Rb, Vn) + tb[None] + return jnp.einsum("vb,vbi->vi", PM.W, X) + PM._posed_j = jax.jit(posed_v) # fresh function object -> fresh trace with the new rest mesh + r = [evaluate(a, fin[a]["poses"])[0][:, 0].mean() for a in ACTS] + print(f"inflate {g*100:.1f} cm, feet longer by {fx*100:.0f}%: mean worst-IoU {np.mean(r):.4f} ", " ".join(f"{x:.3f}" for x in r), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/iou_stats.py b/third_party/UO_Model3D_v13/pipeline/iou_stats.py new file mode 100644 index 0000000..fa3006e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/iou_stats.py @@ -0,0 +1,21 @@ +import pickle, sys, numpy as np, jax, jax.numpy as jnp +from body import *; from fit import *; from targets import targets +from vd import ACTIONS_PEOPLE +sf=pickle.load(open('shape_fit.pkl','rb')) +S=params_to_shape({k:jnp.asarray(v) for k,v in sf['params']['shape'].items()},{k:jnp.asarray(v) for k,v in sf['fixed'].items()}) +res=pickle.load(open(sys.argv[1] if len(sys.argv)>1 else 'anim_fit.pkl','rb')) +@jax.jit +def sil(pp): + P,R=fk(S,pose_from_params(pp)); return jnp.stack([render_sil(S,P,R,d) for d in range(5)]) +out={} +for a in sorted(res): + T=targets(a); F=len(T); worst=[] + for i in range(F): + o=np.asarray(sil({k:jnp.asarray(v[i]) for k,v in res[a]['poses'].items()}))>0.5 + s=T[i][...,3]>127 + iou=[(o[d]&s[d]).sum()/max((o[d]|s[d]).sum(),1) for d in range(5)] + worst.append(min(iou)) + out[a]=worst + flag=' <-- ' + ','.join(str(i) for i,w in enumerate(worst) if w<0.78) if min(worst)<0.78 else '' + print(f"{a:2d} {ACTIONS_PEOPLE[a]:24s} mean-min-IoU {np.mean(worst):.3f} worst {min(worst):.3f}{flag}", flush=True) +pickle.dump(out,open('iou_stats.pkl','wb')) diff --git a/third_party/UO_Model3D_v13/pipeline/jitter.py b/third_party/UO_Model3D_v13/pipeline/jitter.py new file mode 100644 index 0000000..3b2f50a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/jitter.py @@ -0,0 +1,24 @@ +"""Frame-to-frame rotation changes per joint (degrees); flags spikes where a joint goes A->B->A (jitter).""" +import sys, pickle, numpy as np +from scipy.spatial.transform import Rotation as Rot +from fit import BALL_IDX +from body import JOINTS +from vd import ACTIONS_PEOPLE +P = pickle.load(open(sys.argv[1], "rb")) +names = [JOINTS[j][0] for j in BALL_IDX] +cyc = {0, 1, 2, 3, 23, 24} +for a in sorted(P): + b = P[a]["poses"]["ball"]; F = len(b) + if F < 3: continue + R = [Rot.from_rotvec(b[:, k]) for k in range(b.shape[1])] + worst = [] + for k, n in enumerate(names): + r = R[k] + idx = list(range(F)) + ([0] if a in cyc else []) + step = np.degrees([(r[idx[t + 1]] * r[idx[t]].inv()).magnitude() for t in range(len(idx) - 1)]) + skip = np.degrees([(r[idx[t + 2]] * r[idx[t]].inv()).magnitude() for t in range(len(idx) - 2)]) + # jitter: two big steps whose net change is small + jit = [min(step[t], step[t + 1]) - skip[t] / 2 for t in range(len(skip))] + worst.append((max(jit) if jit else 0, n, int(np.argmax(jit)) + 1 if jit else 0, step.max())) + worst.sort(reverse=True) + print(f"{a:2d} {ACTIONS_PEOPLE[a]:24s}", " ".join(f"{n}@f{f}: jit {j:.0f} (max step {s:.0f})" for j, n, f, s in worst[:3])) diff --git a/third_party/UO_Model3D_v13/pipeline/jitter_fix.py b/third_party/UO_Model3D_v13/pipeline/jitter_fix.py new file mode 100644 index 0000000..259312e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/jitter_fix.py @@ -0,0 +1,91 @@ +"""Temporal de-jitter: where a joint swings A->B->A between consecutive frames and the silhouettes cannot tell +(true IoU nearly unchanged), replace it by the in-between rotation of its neighbours (brief refit of the frame).""" +import sys, os, pickle, time +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.spatial.transform import Rotation as Rot, Slerp +from posefit_mesh import * +from posefit_mesh import _posed_j +from fit import BALL_IDX +BASE = sys.argv[sys.argv.index("--base") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +ACTS = [int(a) for k, a in enumerate(sys.argv[1:], 1) if a.isdigit() and sys.argv[k - 1] not in ("--base", "--out")] +THR = float(os.environ.get("UO_JIT_THR", "12")) +base = pickle.load(open(BASE, "rb")) +NAMES = [JOINTS[j][0] for j in BALL_IDX] +CYC = {0, 1, 2, 3, 23, 24} + + +def ious(p, m, hid): + X = _posed_j({k: jnp.asarray(v) for k, v in p.items()}); r = [] + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~hid[d] + r.append((mk & m[d]).sum() / max((mk | m[d]).sum(), 1)) + return np.array(r) + + +def fitter(a): + mounted = jnp.asarray(a in MOUNTED) + + def loss(pp, nb, dto, bpx, bm): + ins, cov = frame_terms(pp, dto, bpx, bm, mounted) + l = 4.0 * ins + cov + 200.0 * limit_penalty(pp) + 0.02 * natural_prior(pp) + return l + 0.3 * (jnp.sum((pp["ball"] - nb["ball"]) ** 2) + jnp.sum((pp["hinge"] - nb["hinge"]) ** 2) + + 20.0 * jnp.sum((pp["trans"] - nb["trans"]) ** 2)) + vg = jax.jit(jax.value_and_grad(loss)) + + def fit(init, dto, bpx, bm, iters=150, lr=0.01): + opt = optax.adam(optax.exponential_decay(lr, iters, 0.3)) + pp = {k: jnp.asarray(v) for k, v in init.items()}; nb = dict(pp); st = opt.init(pp) + for _ in range(iters): + _, g = vg(pp, nb, dto, bpx, bm) + up, st = opt.update(g, st, pp); pp = optax.apply_updates(pp, up) + return {k: np.asarray(v) for k, v in pp.items()}, float(limit_penalty(pp)) + return fit + + +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} +for a in ACTS: + t0 = time.time() + P = {k: np.array(v) for k, v in base[a]["poses"].items()}; F = P["trans"].shape[0] + if F < 3: + continue + Fr, dto, bpx, bm, m = prepare(a) + hid = (horse_masks(a, F) & ~m) if a in HORSE_OF else np.zeros_like(m) + fit = fitter(a) + changed = [] + for sweep in range(2): + for t in range(F): + if a not in CYC and (t == 0 or t == F - 1): + continue + tp, tn = (t - 1) % F, (t + 1) % F + cand = [] + for k, n in enumerate(NAMES): + if n == "pelvis": + continue + R = Rot.from_rotvec(P["ball"][[tp, t, tn], k]) + s1 = (R[1] * R[0].inv()).magnitude(); s2 = (R[2] * R[1].inv()).magnitude(); sk = (R[2] * R[0].inv()).magnitude() + jit = np.degrees(min(s1, s2) - sk / 2) + if jit > THR: + cand.append((jit, k, n)) + for jit, k, n in sorted(cand, reverse=True): + R = Rot.from_rotvec(P["ball"][[tp, tn], k]) + mid = Slerp([0, 1], R)([0.5]).as_rotvec()[0] + q = {kk: v[t].copy() for kk, v in P.items()}; q["ball"][k] = mid + q2, lim = fit(q, dto[t], bpx[t], bm[t]) + cur = {kk: v[t] for kk, v in P.items()} + i0, i1 = ious(cur, m[t], hid[t]), ious(q2, m[t], hid[t]) + R2 = Rot.from_rotvec(np.stack([P["ball"][tp, k], q2["ball"][k], P["ball"][tn, k]])) + jit2 = np.degrees(min((R2[1] * R2[0].inv()).magnitude(), (R2[2] * R2[1].inv()).magnitude()) - (R2[2] * R2[0].inv()).magnitude() / 2) + ok = lim < 0.01 and i1.mean() > i0.mean() - 0.004 and i1.min() > i0.min() - 0.008 and jit2 < jit - 5 + print(f" a{a} f{t} {n}: jitter {jit:.0f} -> {jit2:.0f} IoU {i0.mean():.3f} -> {i1.mean():.3f} {'ACCEPT' if ok else 'keep'}", flush=True) + if ok: + for kk in P: + P[kk][t] = q2[kk] + changed.append((t, n)) + r, lim = evaluate(a, P, m) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[a] = dict(poses=P, iou=r, limits=lim) + pickle.dump(res, open(OUT, "wb")) + r0 = base[a]["iou"] + print(f"action {a:2d} changed {changed} worstIoU {r0[:,0].mean():.3f} -> {r[:,0].mean():.3f} mean {r0[:,1].mean():.3f} -> {r[:,1].mean():.3f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/layer_analysis.py b/third_party/UO_Model3D_v13/pipeline/layer_analysis.py new file mode 100644 index 0000000..3c778ba --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/layer_analysis.py @@ -0,0 +1,157 @@ +"""Analysis A: what every wearable layer of the original client looks like next to the body, from the `stand` frames (no Cycles). + + python layer_analysis.py [--files anim,anim2,anim3,anim4,anim5] + +parts.npz comes from `body_part_raster.py ../model/UO_Body_0x190.blend parts.npz --actions 4` (part labels of the 3D body in the stand pose, +canvas 145x133, anchor (75,92)). For every animation of `client/extract/item_animations.json` that has a layer < 25 (and frames in the listed files; default: all of anim, anim2, anim3, anim4, anim5 - the wearable animations in them are the game's originals) +the 5 directions of action 4 (stand), frame 0, are put on a 256x256 canvas (anchor 128,192) next to the original body 400 and measured: + + * z range of the item in the rest pose (m, ground = 0): rows -> z = 0.07 - row / (36 cos 28.4557 deg), mean of the 5 directions (the formula of + `uo_import_item.py` EXTENTS: bottom edge of the lowest and top edge of the highest pixel row); + * cover[part]: share of the pixels of a body part (3D body, nearest part to every body pixel of the ORIGINAL silhouette) that the item covers; + * out[part]: distance (px, 1 px = 1/36 m = 2.78 cm) of every item pixel OUTSIDE the original body silhouette to that silhouette, grouped by the body part nearest + to the pixel: n pixels, p50, p90, max. It is the only place where the thickness of the item can be read from a flat sprite (inside the silhouette the + body is hidden by the item), so it is a lower bound of the standoff of the item from the skin, mostly at arms, legs, hem and neck. +Left / right parts are merged; clavicle, spine, pelvis, chest are `torso`. +""" +import json, mmap, os, struct, sys +import numpy as np +from scipy import ndimage + +HERE = os.path.dirname(os.path.abspath(__file__)) +CW, CH, ANCH = 256, 256, (128, 192) +PXM = 36.0 +COS = np.cos(np.radians(28.4557)) +END = 0x7FFF7FFF +STAND = 4 +GROUP = {"chest": "torso", "spine": "torso", "pelvis": "torso", "clavicle": "torso", "upper_arm": "upper_arm", "forearm": "forearm", "hand": "hand", + "thigh": "thigh", "shin": "shin", "foot": "foot", "head": "head", "neck": "neck"} +ORDER = ["head", "neck", "torso", "upper_arm", "forearm", "hand", "thigh", "shin", "foot"] + + +class Files: + def __init__(self, src): + self.src, self.cache = src, {} + + def get(self, tag): + if tag not in self.cache: + ip, mp = os.path.join(self.src, tag + ".idx"), os.path.join(self.src, tag + ".mul") + if not (os.path.exists(ip) and os.path.exists(mp)): + self.cache[tag] = None + else: + with open(mp, "rb") as f: + self.cache[tag] = (open(ip, "rb").read(), mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)) + return self.cache[tag] + + +def stand_mask(fl, tag, body, d): + """opaque mask of frame 0 of (stand, dir d) of people / equipment id `body` on the 256x256 canvas, or None""" + f = fl.get(tag) + if f is None: + return None + idx, mm = f + e = 35000 + (body - 400) * 175 + STAND * 5 + d + if 12 * (e + 1) > len(idx): + return None + look, length, _ = struct.unpack_from(" len(mm): + return None + cnt, = struct.unpack_from("> 22) & 0x3FF + dy = (hdr >> 12) & 0x3FF + dx = dx - 0x400 if dx & 0x200 else dx + dy = dy - 0x400 if dy & 0x200 else dy + x, y = ANCH[0] + dx, ANCH[1] + dy # (dx, dy) are relative to the anchor + if 0 <= y < CH: + m[y, max(x, 0):max(min(x + n, CW), 0)] = True + p += n + return m + + +def main(): + args = sys.argv[1:] + files = ["anim", "anim2", "anim3", "anim4", "anim5"] + if "--files" in args: + i = args.index("--files") + files = args[i + 1].split(",") + del args[i:i + 2] + src, parts_npz, out = args + z = np.load(parts_npz) + names = [str(n) for n in z["parts"]] + gname = [GROUP[n.split(".")[0]] for n in names] + lab_small = z["lab"] # (5, 133, 145), anchor (75, 92) + dirs = {int(k[1]): i for i, k in enumerate(z["key"]) if int(k[0]) == STAND and int(k[2]) == 0} + fl = Files(src) + meta = json.load(open(os.path.join(HERE, "..", "client", "extract", "item_animations.json"))) + layer_names = meta["layers"] + + body_mask, plab, near_lab, dist_out = {}, {}, {}, {} + for d in range(5): + B = stand_mask(fl, "anim", 400, d) + L = np.full((CH, CW), -1, np.int16) + s = lab_small[dirs[d]] + L[ANCH[1] - 92:ANCH[1] - 92 + 133, ANCH[0] - 75:ANCH[0] - 75 + 145] = s + G = np.full(L.shape, -1, np.int16) + for pi, g in enumerate(gname): + G[L == pi] = ORDER.index(g) + # nearest 3D part label for every pixel of the canvas + _, (iy, ix) = ndimage.distance_transform_edt(G < 0, return_indices=True) + body_mask[d], plab[d], near_lab[d] = B, G, G[iy, ix] + dist_out[d] = ndimage.distance_transform_edt(~B) # distance to the original silhouette (0 inside) + + res = {} + for key, v in meta["animations"].items(): + lays = [l for l in v["layers"] if l < 25] + tag, _, lid = v["src"].partition(":") + if not lays or not v["frames"] or tag not in files: + continue + ms = [stand_mask(fl, tag, int(lid), d) for d in range(5)] + if any(m is None or not m.any() for m in ms): + continue + zlo = zhi = 0.0 + cover = {g: [] for g in ORDER} + outd = {g: [] for g in ORDER} + for d, m in enumerate(ms): + rows = np.nonzero(m.any(1))[0] + zhi += 0.07 - (rows[0] - ANCH[1]) / (PXM * COS) + zlo += 0.07 - (rows[-1] + 1 - ANCH[1]) / (PXM * COS) + for gi, g in enumerate(ORDER): + sel = (plab[d] == gi) | ((near_lab[d] == gi) & body_mask[d]) + if sel.sum(): + cover[g].append((m & sel).sum() / sel.sum()) + o = m & ~body_mask[d] + for gi, g in enumerate(ORDER): + dd = dist_out[d][o & (near_lab[d] == gi)] + if dd.size: + outd[g].append(dd) + rec = dict(src=v["src"], items=[n for _, n in v["items"]][:3], layers=[layer_names[str(l)] for l in lays], + zlo=round(zlo / 5, 3), zhi=round(zhi / 5, 3), + cover={g: round(float(np.mean(c)), 3) for g, c in cover.items() if c}, + out={}) + for g, ds in outd.items(): + if not ds: + continue + dd = np.concatenate(ds) + rec["out"][g] = dict(n=int(len(dd) / 5), p50=round(float(np.percentile(dd, 50)), 2), p90=round(float(np.percentile(dd, 90)), 2), + max=round(float(dd.max()), 2)) + res[key] = rec + json.dump(dict(canvas=[CW, CH], anchor=ANCH, files=files, animations=res), open(out, "w"), indent=1) + print("%d animations measured" % len(res)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/layer_analysis_report.py b/third_party/UO_Model3D_v13/pipeline/layer_analysis_report.py new file mode 100644 index 0000000..7c1b2cc --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/layer_analysis_report.py @@ -0,0 +1,34 @@ +"""Per-layer table (markdown) from layer_analysis.py output. python layer_analysis_report.py layer_analysis.json out.md""" +import json, sys +import numpy as np +from layer_analysis import ORDER + +PX_CM = 100 / 36.0 +d = json.load(open(sys.argv[1]))["animations"] +by = {} +for k, r in d.items(): + for l in r["layers"]: + by.setdefault(l, []).append(r) +L = ["# Warstwy ubieralne z klienta: zasięg i odstęp od ciała (poza `stand`, 5 kierunków)", "", + "Źródło: `pipeline/layer_analysis.py` (anim, anim2, anim3, anim4, anim5; %d animacji). 1 px = %.2f cm. Szczegóły: `client/extract/layer_analysis.json`." % (len(d), PX_CM), "", + "## Zasięg wysokości w pozie spoczynkowej (m, podłoga = 0)", "", + "| warstwa | animacji | dół: min / mediana / max | góra: min / mediana / max | przykłady |", "|---|---|---|---|---|"] +for l, rs in sorted(by.items()): + lo, hi = np.array([r["zlo"] for r in rs]), np.array([r["zhi"] for r in rs]) + ex = ", ".join(sorted({n for r in rs for n in r["items"]})[:3]) + L.append("| %s | %d | %.2f / %.2f / %.2f | %.2f / %.2f / %.2f | %s |" % (l, len(rs), lo.min(), np.median(lo), lo.max(), hi.min(), np.median(hi), hi.max(), ex)) +L += ["", "## Pokrycie części ciała (mediana po animacjach, udział pikseli części ciała zakrytych przez przedmiot)", "", + "| warstwa | " + " | ".join(ORDER) + " |", "|---|" + "---|" * len(ORDER)] +for l, rs in sorted(by.items()): + L.append("| %s | " % l + " | ".join("%.2f" % np.median([r["cover"].get(g, 0) for r in rs]) for g in ORDER) + " |") +L += ["", "## Wystawanie poza sylwetkę oryginalnego ciała (cm; p90 odległości pikseli przedmiotu od sylwetki, mediana po animacjach; tylko animacje z ≥ 5 pikselami poza sylwetką na kierunek)", "", + "To dolne oszacowanie odstępu od skóry (wewnątrz sylwetki ciało jest zasłonięte). `—` = przedmiot prawie nie wystaje.", "", + "| warstwa | " + " | ".join(ORDER) + " |", "|---|" + "---|" * len(ORDER)] +for l, rs in sorted(by.items()): + cells = [] + for g in ORDER: + v = [r["out"][g]["p90"] for r in rs if g in r["out"] and r["out"][g]["n"] >= 5] + cells.append("%.1f" % (np.median(v) * PX_CM) if len(v) >= 2 else "—") + L.append("| %s | " % l + " | ".join(cells) + " |") +open(sys.argv[2], "w").write("\n".join(L) + "\n") +print("\n".join(L)) diff --git a/third_party/UO_Model3D_v13/pipeline/lean_probe.py b/third_party/UO_Model3D_v13/pipeline/lean_probe.py new file mode 100644 index 0000000..2684398 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/lean_probe.py @@ -0,0 +1,25 @@ +import sys, pickle, numpy as np, jax.numpy as jnp +from scipy.spatial.transform import Rotation as Rot +from posefit_mesh import * +from posefit_mesh import _posed_j +P = pickle.load(open(sys.argv[1], "rb")); a, i = int(sys.argv[2]), int(sys.argv[3]) +T = targets(a); m = T[..., 3] > 127 +p0 = {k: np.asarray(v[i]) for k, v in P[a]["poses"].items()} +def iou(p): + X = _posed_j({k: jnp.asarray(v) for k, v in p.items()}); r = [] + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H); s = m[i, d] + r.append((mk & s).sum() / max((mk | s).sum(), 1)) + return np.round(r, 3), np.mean(r) +def rot(p, joint, axis, deg): + q = {k: v.copy() for k, v in p.items()} + q["ball"][BI[JI[joint]]] = (Rot.from_euler(axis, deg, degrees=True) * Rot.from_rotvec(q["ball"][BI[JI[joint]]])).as_rotvec() + return q +print("base", iou(p0)) +for ax in "xyz": + for j in ("pelvis", "spine", "chest"): + for deg in (-8, -4, 4, 8): + r, mn = iou(rot(p0, j, ax, deg)) + print(ax, j, deg, r, round(mn, 4)) +for dx in (-0.03, -0.015, 0.015, 0.03): + q = {k: v.copy() for k, v in p0.items()}; q["trans"][0] += dx; print("trans x", dx, iou(q)) diff --git a/third_party/UO_Model3D_v13/pipeline/light_data.py b/third_party/UO_Model3D_v13/pipeline/light_data.py new file mode 100644 index 0000000..98fdb83 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/light_data.py @@ -0,0 +1,48 @@ +"""Joins the per-pixel geometry of the 3D body (light_raster.py) with the original UO body frames: one table of pixels that both cover (outline excluded). + + from light_data import load; D = load(["part_0.npz", ...]) +D: dict of arrays (one entry per pixel): action, dir, frame, y, x, N (3), P (3), uv (2), part, lit, ao, rgb (3 uint8, the ORIGINAL pixel), edge (distance in px to the +original silhouette, 1 = outline pixel), plus `parts` and `L`. +""" +import json, os +import numpy as np +from PIL import Image +from scipy import ndimage + +HERE = os.path.dirname(os.path.abspath(__file__)) +ORIG = os.path.join(HERE, "..", "client", "body_0x190_frames") + + +def load(files): + meta = json.load(open(os.path.join(ORIG, "meta.json"))) + names = {b["action"]: "%02d_%s" % (b["action"], b["name"]) for b in meta["blocks"]} + files_of = {(b["action"], b["dir"]): [f["file"] for f in b["frames"]] for b in meta["blocks"]} + out = {k: [] for k in ("action", "dir", "frame", "y", "x", "N", "P", "uv", "part", "lit", "ao", "rgb", "edge")} + parts, L = None, None + for fn in files: + z = np.load(fn) + parts, L = z["parts"], z["L"] + key, fr = z["key"], z["frame"] + starts = np.searchsorted(fr, np.arange(len(key))) + ends = np.searchsorted(fr, np.arange(len(key)), side="right") + for k, (a, d, i) in enumerate(key): + fl = files_of.get((int(a), int(d))) + if not fl or i >= len(fl): + continue + im = np.array(Image.open(os.path.join(ORIG, "frames", names[int(a)], "dir%d" % d, fl[i])).convert("RGBA")) + m = im[..., 3] > 0 + if not m.any(): + continue + dist = ndimage.distance_transform_cdt(m, metric="taxicab") + s = slice(starts[k], ends[k]) + y, x = z["y"][s].astype(int), z["x"][s].astype(int) + ok = m[y, x] + for name, arr in (("y", y), ("x", x), ("N", z["N"][s].astype(np.float32)), ("P", z["P"][s].astype(np.float32)), ("uv", z["uv"][s].astype(np.float32)), + ("part", z["part"][s]), ("lit", z["lit"][s]), ("ao", z["ao"][s])): + out[name].append(arr[ok]) + out["rgb"].append(im[y[ok], x[ok], :3]); out["edge"].append(dist[y[ok], x[ok]].astype(np.int8)) + n = int(ok.sum()) + out["action"].append(np.full(n, a, np.int8)); out["dir"].append(np.full(n, d, np.int8)); out["frame"].append(np.full(n, i, np.int16)) + D = {k: np.concatenate(v) for k, v in out.items()} + D["parts"], D["L"] = parts, L + return D diff --git a/third_party/UO_Model3D_v13/pipeline/light_fit.py b/third_party/UO_Model3D_v13/pipeline/light_fit.py new file mode 100644 index 0000000..99a2876 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/light_fit.py @@ -0,0 +1,116 @@ +"""Light and shadow of the ORIGINAL UO body frames against the 3D body (880 frames of actions 0-22, 30-34, all 5 directions, 495 k pixels). + + python light_raster.py ../model/UO_Body_0x190.blend lr/part_N.npz --actions ... (4 runs, see SESSION_HANDOFF.md session 10) + python -c "import light_data,numpy as np,glob; np.savez('light_table.npz', **light_data.load(sorted(glob.glob('lr/part_*.npz'))))" + python light_fit.py light_table.npz + +Model: light(pixel) = albedo[texel of the UV] * S(pixel), the albedo per texel (96x96 of the UV square) profiled out; S from the normal of the 3D body and the light. +Prints: Lambert in sRGB vs linear light, free light direction (all frames and per direction), model variants (ambient, exponent, wrap, hemisphere, AO, self-shadow), +the residual by self-shadow flag, ambient openness, cosine and body part. +""" +import numpy as np +from scipy import optimize +import sys +D=dict(np.load(sys.argv[1])) +dec=lambda v:np.where(v<=0.04045,v/12.92,((v+0.055)/1.055)**2.4) +m=D['edge']>=2 +N=D['N'][m].astype(float); uv=D['uv'][m]; lit=D['lit'][m]; ao=D['ao'][m]; rgb=D['rgb'][m].astype(float) +lum8=rgb.mean(1) +tex=(np.clip(uv[:,0],0,.999)*96).astype(int)*96+(np.clip(uv[:,1],0,.999)*96).astype(int) # 96x96 texels +ut,inv,cnt=np.unique(tex,return_inverse=True,return_counts=True) +print('pixels',m.sum(),'texels',len(ut),'median samples/texel',np.median(cnt)) +def sph(p): + th,ph=p[0],p[1]; return np.array([np.sin(th)*np.cos(ph),np.sin(th)*np.sin(ph),np.cos(th)]) +def resid(y,S): + # profile out the albedo per texel + num=np.bincount(inv,y*S); den=np.bincount(inv,S*S); a=num/np.maximum(den,1e-12) + return y-a[inv]*S +def run(name,dom,model,p0,bounds=None): + y=dom(lum8) + f=lambda p: resid(y,model(p)) + r=optimize.least_squares(f,p0,bounds=bounds if bounds else (-np.inf,np.inf)) + rms=np.sqrt(np.mean(r.fun**2)); print("%-34s %-6s rms %.4f params %s"%(name,dom.__name__,rms,np.round(r.x,4))); return r +srgb=lambda v:v/255.0 +srgb.__name__="srgb" +lin=lambda v:dec(v/255.0) +lin.__name__="linear" +L0=np.array([0.0012,-0.7572,0.6532]); th0=np.arccos(L0[2]); ph0=np.arctan2(L0[1],L0[0]) +lamb=lambda p: p[2]+(1-p[2])*np.maximum(N@sph(p),0) +fixed=lambda p: 0.0798+0.9202*np.maximum(N@L0,0) +for dom in (srgb,lin): + y=dom(lum8); print("%-34s %-6s rms %.4f"%("current UO_Look (fixed L, amb .0798)",dom.__name__,np.sqrt(np.mean(resid(y,fixed(None))**2)))) + run("free L + ambient",dom,lamb,[th0,ph0,0.08],([0,-10,0],[np.pi,10,1])) +print("---- normalised: share of the variance (after the per-texel albedo) that the light explains") +for dom in (srgb,lin): + y=dom(lum8); base=np.sqrt(np.mean(resid(y,np.ones_like(y))**2)) + cur=np.sqrt(np.mean(resid(y,fixed(None))**2)) + print(dom.__name__,"albedo only rms %.4f | current light rms %.4f | explained %.1f%%"%(base,cur,100*(1-cur**2/base**2))) +# per direction free light (linear domain) +print("---- per direction (linear domain): best L, ambient, rms") +y=lin(lum8) +for d in range(5): + sel=D['dir'][m]==d + inv_d=inv # same texel ids; fit with subset + def fd(p): + S_=p[2]+(1-p[2])*np.maximum(N[sel]@sph(p),0); num=np.bincount(inv[sel],y[sel]*S_,minlength=len(ut)); den=np.bincount(inv[sel],S_*S_,minlength=len(ut)) + return y[sel]-(num/np.maximum(den,1e-12))[inv[sel]]*S_ + r=optimize.least_squares(fd,[th0,ph0,0.08],bounds=([0,-10,0],[np.pi,10,1])) + print("dir",d,"L",np.round(sph(r.x),3),"amb %.3f"%r.x[2],"rms %.4f"%np.sqrt(np.mean(r.fun**2))) + +y=lin(lum8) +c=np.maximum(N@L0,0) +Sbase=0.0798+0.9202*c +def rms(S_): return np.sqrt(np.mean(resid(y,S_)**2)) +print("base (current light) rms %.4f"%rms(Sbase)) +# a per texel from base, ratio per pixel +num=np.bincount(inv,y*Sbase); den=np.bincount(inv,Sbase**2); a=num/den; pred=a[inv]*Sbase +ratio=y/np.maximum(pred,1e-4) +print("---- shadows: ratio original/predicted (median) by self-shadow flag, c bin") +for nm,sel in (("lit (ray to light free)",lit==1),("shadowed by the body itself",lit==0)): + print(" %-30s n %6d median ratio %.3f"%(nm,sel.sum(),np.median(ratio[sel]))) +has_ao=ao<255 +aoq=ao.astype(float)/255 +print("---- ambient occlusion (8 rays, 0.4 m; only every 3rd frame), ratio by openness") +am=np.arange(0,256) +for lo,hi in ((0,.5),(.5,.75),(.75,.9),(.9,1.0001)): + sel=(aoq>=lo)&(aoq=lo)&(aoq=lo)&(c3000: print(" %-12s n %6d ratio median %.3f rel.rms %.3f"%(D['parts'][p],sel.sum(),np.median(ratio[sel]),np.std(ratio[sel]))) +print("---- self-shadow strength: S = amb + (1-amb)*c*(1 if lit else s)") +for s in (0.0,0.2,0.4,0.5,0.6,0.8,1.0): + print(" s=%.1f rms %.4f"%(s,rms(0.0798+0.9202*c*np.where(lit==1,1.0,s)))) +sh=lit==0 +print("shadowed pixels by part:",{str(D['parts'][p]):int(((D['part'][m]==p)&sh).sum()) for p in range(len(D['parts'])) if ((D['part'][m]==p)&sh).sum()>500}) +print("share of pixels much darker than predicted (ratio<0.6):",round(float((ratio<0.6).mean()),3),"; of those flagged self-shadowed:",round(float(sh[ratio<0.6].mean()),3), "(base rate %.3f)"%sh.mean()) +dk=ratio<0.45 +print("pixels very dark (ratio<0.45) n %d: lit-flag share %.3f"%(dk.sum(),(~sh[dk]).mean())) +# shadowed share by action +for a in sorted(set(D['action'][m].tolist())): + s_=D['action'][m]==a + print(" action %2d shadowed %.3f ratio_median_in_shadow %.2f"%(a,sh[s_].mean(), np.median(ratio[s_&sh]) if (s_&sh).sum()>20 else np.nan), end=";" if a%3 else "\n") diff --git a/third_party/UO_Model3D_v13/pipeline/light_items.py b/third_party/UO_Model3D_v13/pipeline/light_items.py new file mode 100644 index 0000000..0ca3384 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/light_items.py @@ -0,0 +1,167 @@ +"""Light / shadow statistics of every wearable animation of the client against the lighting of the 3D body. + + python light_items.py [--stride 2] [--procs 4] + +light_table.npz: the output of `light_data.load` saved with np.savez (pixels of the 3D body that the ORIGINAL body frames also cover: normal, self-shadow flag...). +For every people / equipment animation of client/extract/item_animations.json (layers < 25, in anim..anim5) and every frame of the body table (every `stride`-th +frame; mounted actions are not in the table) the item's pixels that lie on a body-model pixel are taken. The item hugs the body (shirt, armour, trousers...), so the +normal of the BODY at that pixel stands for the normal of the item; loose items (robe, cloak, hair, wings) are poorer proxies - the result is a statistic over +hundreds of animations, not a measurement of one. Per animation (linear light = sRGB decoded, mean of R, G, B): + n pixels used + r2_lam share of the variance of the item's light explained by A * (0.0798 + 0.9202 * max(n.L, 0)) (A fitted; the item's albedo is taken as uniform) + A that albedo + ks, r2_spec the same with + ks * max(n.L, 0)^16 (a metal highlight): ks (in linear light) and the new share explained + hi99, med 99th percentile and median of the item's light; top_c: mean n.L of the brightest 1 % of the pixels + curve median light in the bins of n.L [0, .3, .5, .6, .7, .8, .9, .95, 1] (Lambert: rises about 1.9x from n.L 0.4 to 1) + shadow median of light / (A * S) for pixels the body shadows itself (ray to the UO light blocked) and for the others (lit), with the counts +""" +import json, mmap, os, struct, sys +from multiprocessing import Pool + +import numpy as np + +HERE = os.path.dirname(os.path.abspath(__file__)) +CW, CH, ANCH = 145, 133, (75, 92) +END = 0x7FFF7FFF +dec = lambda v: np.where(v <= 0.04045, v / 12.92, ((v + 0.055) / 1.055) ** 2.4) +_G = {} + + +def init(src, table, stride): + _G["src"], _G["stride"] = src, stride + z = np.load(table) + keep = ("action", "dir", "frame", "y", "x", "N", "lit", "ao", "part") + D = {k: z[k] for k in keep} + order = np.lexsort((D["frame"], D["dir"], D["action"])) + D = {k: v[order] for k, v in D.items()} + code = D["action"].astype(np.int64) * 100000 + D["dir"].astype(np.int64) * 1000 + D["frame"] + u, st = np.unique(code, return_index=True) + en = np.r_[st[1:], len(code)] + _G["D"], _G["frames"] = D, [(int(c // 100000), int(c // 1000 % 100), int(c % 1000), s, e) for c, s, e in zip(u, st, en)] + _G["L"] = np.array([0.00124641, -0.75721306, 0.65316677]) + _G["files"] = {} + + +def open_files(tag): + if tag not in _G["files"]: + ip, mp = os.path.join(_G["src"], tag + ".idx"), os.path.join(_G["src"], tag + ".mul") + if os.path.exists(ip) and os.path.exists(mp): + fh = open(mp, "rb") # kept open for the life of the mmap + _G["files"][tag] = (open(ip, "rb").read(), mmap.mmap(fh.fileno(), 0, access=mmap.ACCESS_READ), fh) + else: + _G["files"][tag] = None + return _G["files"][tag] + + +def decode(idx, mm, body, action, d, i): + """RGB (CH, CW, 3) uint8 and mask of frame i of (action, dir d) of people / equipment id `body` on the canvas of the original body frames, or None""" + e = 35000 + (body - 400) * 175 + action * 5 + d + if 12 * (e + 1) > len(idx): + return None + look, length, _ = struct.unpack_from(" len(mm): + return None + cnt, = struct.unpack_from("= cnt: + return None + pal = np.frombuffer(mm, "> 10) & 31) * 255 // 31, ((pal >> 5) & 31) * 255 // 31, (pal & 31) * 255 // 31], 1).astype(np.uint8) + off, = struct.unpack_from("> 22) & 0x3FF + dy = (hdr >> 12) & 0x3FF + dx = dx - 0x400 if dx & 0x200 else dx + dy = dy - 0x400 if dy & 0x200 else dy + x, y = ANCH[0] + dx, ANCH[1] + dy + if 0 <= y < CH and n > 0: + x0, x1 = max(x, 0), min(x + n, CW) + if x1 > x0: + idxs = np.frombuffer(mm, np.uint8, n, p)[x0 - x:x1 - x] + img[y, x0:x1] = lut[idxs]; m[y, x0:x1] = True + p += n + return img, m + + +def analyse(job): + key, src, name, layers = job + tag, _, lid = src.partition(":") + f = open_files(tag) + if f is None: + return key, None + D, L = _G["D"], _G["L"] + lum, cc, lit, ao = [], [], [], [] + for k, (a, d, i, s, e) in enumerate(_G["frames"]): + if k % _G["stride"]: + continue + r = decode(f[0], f[1], int(lid), a, d, i) + if r is None: + continue + img, m = r + y, x = D["y"][s:e], D["x"][s:e] + sel = m[y, x] + if not sel.any(): + continue + rgb = img[y[sel], x[sel]].astype(np.float64) / 255 + lum.append(dec(rgb).mean(1)); cc.append(np.maximum(D["N"][s:e][sel] @ L, 0)); lit.append(D["lit"][s:e][sel]); ao.append(D["ao"][s:e][sel]) + if not lum or sum(len(v) for v in lum) < 300: + return key, None + y_, c, lit, ao = np.concatenate(lum), np.concatenate(cc), np.concatenate(lit), np.concatenate(ao) + S = 0.0798 + 0.9202 * c + A = float((y_ * S).sum() / (S * S).sum()); res = y_ - A * S + tot = float(((y_ - y_.mean()) ** 2).sum()) + X = np.stack([S, c ** 16], 1); coef, *_ = np.linalg.lstsq(X, y_, rcond=None) + res2 = y_ - X @ coef + hi = y_ >= np.percentile(y_, 99) + sh = lit == 0 + ratio = y_ / np.maximum(A * S, 1e-4) + edges = np.array([0, 0.3, 0.5, 0.6, 0.7, 0.8, 0.9, 0.95, 1.01]) + b = np.digitize(c, edges) - 1 + curve = [float(np.median(y_[b == k])) if (b == k).sum() >= 100 else None for k in range(len(edges) - 1)] # median light per bin of n.L + out = dict(name=name, curve=curve, layers=layers, n=int(len(y_)), r2_lam=1 - float((res ** 2).sum()) / tot if tot > 0 else 0.0, A=A, + ks=float(coef[1]), A2=float(coef[0]), r2_spec=1 - float((res2 ** 2).sum()) / tot if tot > 0 else 0.0, + med=float(np.median(y_)), hi99=float(np.percentile(y_, 99)), top_c=float(c[hi].mean()), + shadow=dict(n_shadow=int(sh.sum()), n_lit=int((~sh).sum()), + r_shadow=float(np.median(ratio[sh])) if sh.sum() >= 50 else None, r_lit=float(np.median(ratio[~sh])) if (~sh).sum() >= 50 else None)) + return key, out + + +def main(): + args = sys.argv[1:] + stride, procs = 2, 4 + for fl, nm in (("--stride", "stride"), ("--procs", "procs")): + if fl in args: + i = args.index(fl); v = int(args[i + 1]); del args[i:i + 2] + if nm == "stride": stride = v + else: procs = v + src, table, out = args + meta = json.load(open(os.path.join(HERE, "..", "client", "extract", "item_animations.json"))) + names = meta["layers"] + jobs = [] + for key, v in meta["animations"].items(): + lays = [l for l in v["layers"] if l < 25] + if not lays: + continue + nm = "; ".join(it[1] for it in v["items"][:3]) + jobs.append((key, v["src"], nm, [names.get(str(l), str(l)) for l in lays])) + with Pool(procs, initializer=init, initargs=(src, table, stride)) as pool: + res = {} + for n, (k, r) in enumerate(pool.imap_unordered(analyse, jobs, chunksize=4)): + if r is not None: + res[k] = r + if n % 40 == 0: + print(n, "/", len(jobs), flush=True) + json.dump(res, open(out, "w"), indent=0) + print("animations analysed:", len(res)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/light_raster.py b/third_party/UO_Model3D_v13/pipeline/light_raster.py new file mode 100644 index 0000000..1b24882 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/light_raster.py @@ -0,0 +1,157 @@ +"""Per-pixel geometry of the pure 3D body for every UO frame, for the light / shadow analysis (no Cycles: pixel-centre rasteriser + BVH rays). + + python light_raster.py ../model/UO_Body_0x190.blend OUT.npz [--actions 0,1,2] [--ao-every 3] + +Canvas of the ORIGINAL body frames (145x133, anchor (75,92), 36 px/m), as body_part_raster.py. For every covered pixel of every frame (mounted +actions 23-29 are left out: the horse proxy hides parts of the body) it stores, in world space (z up, camera at -y): + frame index into `key` (action, direction, frame) y, x pixel + N smooth normal (3) P position (3, m) uv texture coordinate (2) part dominant bone group (int8, `parts`) + lit 1 = the ray from P (+ 3 mm along N) towards the UO light leaves the body without hitting it, 0 = the body shadows itself there + ao share of 8 hemisphere rays of 0.4 m that leave the body (255 = open); only every --ao-every-th frame, 255 elsewhere + L the UO light of the file (node group UO_Look, world space) +`analysis_light.py` joins this with the original frames. Needs: pip install numpy "bpy==4.2.*". +""" +import sys, os +import numpy as np +import bpy +from mathutils import Vector +from mathutils.bvhtree import BVHTree + +sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) +import body_part_raster as bpr + +CW, CH, CANCH, STEP = bpr.CW, bpr.CH, bpr.CANCH, bpr.STEP + + +def raster_full(ob, dg, Pm, Vm): + """per pixel: triangle index (-1 none), barycentric weights of corners 0 and 1, plus the evaluated vertex positions / normals / triangles""" + ev = ob.evaluated_get(dg); m2 = ev.to_mesh() + co = np.empty(len(m2.vertices) * 3, np.float32); m2.vertices.foreach_get("co", co); co = co.reshape(-1, 3) + vn = np.empty(len(m2.vertices) * 3, np.float32); m2.vertices.foreach_get("normal", vn); vn = vn.reshape(-1, 3) + m2.calc_loop_triangles() + tri = np.empty(len(m2.loop_triangles) * 3, np.int32); m2.loop_triangles.foreach_get("vertices", tri); tri = tri.reshape(-1, 3) + Mw = np.array(ev.matrix_world); ev.to_mesh_clear() + cow = (np.c_[co, np.ones(len(co))] @ Mw.T)[:, :3]; vnw = vn @ Mw[:3, :3].T + hv = np.c_[cow, np.ones(len(co))] @ Vm.T + h = hv @ Pm.T; ndc = h[:, :2] / h[:, 3:4] + P = np.stack([(ndc[:, 0] + 1) * 0.5 * CW, (1 - ndc[:, 1]) * 0.5 * CH], 1)[tri] + Z = -hv[:, 2][tri] + tid = np.full((CH, CW), -1, np.int32); depth = np.full((CH, CW), np.inf); B0 = np.zeros((CH, CW)); B1 = np.zeros((CH, CW)) + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + A, B, C = P[:, 0], P[:, 1], P[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + for dy in range(int(size[:, 1].max(initial=0)) + 1): + for dx in range(int(size[:, 0].max(initial=0)) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px_ = mn[t, 0] + dx; py_ = mn[t, 1] + dy; cx, cy = px_ + 0.5, py_ + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + kk = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px_ >= 0) & (py_ >= 0) & (px_ < CW) & (py_ < CH) + z = l0[kk] * Z[t[kk], 0] + l1[kk] * Z[t[kk], 1] + (1 - l0[kk] - l1[kk]) * Z[t[kk], 2] + tt, yy, xx, a0, a1 = t[kk], py_[kk], px_[kk], l0[kk], l1[kk] + o = np.argsort(-z) + o = o[z[o] < depth[yy[o], xx[o]]] + depth[yy[o], xx[o]] = z[o]; tid[yy[o], xx[o]] = tt[o]; B0[yy[o], xx[o]] = a0[o]; B1[yy[o], xx[o]] = a1[o] + return tid, B0, B1, cow, vnw, tri + + +def main(): + args = sys.argv[1:] + blend, out = os.path.abspath(args.pop(0)), os.path.abspath(args.pop(0)) + only, ao_every = None, 3 + while args: + f = args.pop(0) + if f == "--actions": + only = {int(x) for x in args.pop(0).split(",")} + elif f == "--ao-every": + ao_every = int(args.pop(0)) + bpy.ops.wm.open_mainfile(filepath=blend) + sc = bpy.context.scene + rig, body = bpy.data.objects["UO_Rig"], bpy.data.objects["UO_Body"] + sc.camera = bpy.data.objects["UO_Camera"]; cd = sc.camera.data + cd.sensor_fit = "HORIZONTAL"; cd.ortho_scale = CW / sc.get("uo_px_per_m", 36.0); cd.shift_x = cd.shift_y = 0.0 + sc.render.resolution_x, sc.render.resolution_y, sc.render.resolution_percentage = CW, CH, 100 + + def anchor_px(): + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + P = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)) @ np.array(cam.matrix_world.inverted()) @ np.array([0.0, 0.0, sc.get("uo_anchor_height", 0.07), 1.0]) + return np.array([(P[0] / P[3] + 1) * 0.5 * CW, (1 - P[1] / P[3]) * 0.5 * CH]) + + p0 = anchor_px(); cd.shift_x = cd.shift_y = 0.01; p1 = anchor_px(); k = (p1 - p0) / 0.01 + want = np.array(CANCH, float) + (np.array(sc.get("uo_anchor_px", (68.5, 86.0))) - np.array((68, 86))) + sh = (want - p0) / k; cd.shift_x, cd.shift_y = float(sh[0]), float(sh[1]) + assert np.abs(anchor_px() - want).max() < 1e-3 + + ng = bpy.data.node_groups["UO_Look"] + ldir = next(n for n in ng.nodes if n.type == "COMBXYZ") + L = np.array([ldir.inputs[i].default_value for i in range(3)], float); L /= np.linalg.norm(L) + + names = [g.name for g in body.vertex_groups] + parts = sorted({bpr.part_of(n) for n in names}); pid = {p: i for i, p in enumerate(parts)} + gpart = np.array([pid[bpr.part_of(n)] for n in names]) + me = body.data + Wv = np.zeros((len(me.vertices), len(parts))) + for v in me.vertices: + for g in v.groups: + Wv[v.index, gpart[g.group]] += g.weight + me.calc_loop_triangles() + tri0 = np.array([t.vertices[:] for t in me.loop_triangles]) + tlab = Wv[tri0].sum(1).argmax(1).astype(np.int8) + uvl = me.uv_layers.active.data + tri_uv = np.array([[uvl[l].uv[:] for l in t.loops] for t in me.loop_triangles], np.float32) # (T, 3, 2) + + rng = np.random.default_rng(1) + hemi = rng.normal(size=(8, 3)); hemi[:, 2] = np.abs(hemi[:, 2]); hemi /= np.linalg.norm(hemi, axis=1, keepdims=True) # +z = the normal + + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + cols = {k: [] for k in ("frame", "y", "x", "N", "P", "uv", "part", "lit", "ao")} + keys = [] + nfr = 0 + for act in acts: + a = int(act["uo_action"]) + if 23 <= a <= 29 or (only is not None and a not in only): + continue + rig.animation_data.action = act + for d in range(5): + rig["uo_direction"] = d + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + i * STEP); rig.update_tag(); body.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + Pm = np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)); Vm = np.array(cam.matrix_world.inverted()) + tid, B0, B1, cow, vnw, tri = raster_full(body, dg, Pm, Vm) + Minv = np.array(body.evaluated_get(dg).matrix_world.inverted()) # BVHTree.FromObject works in the object's local space + Mi = Minv[:3, :3] + Lloc = Vector(Mi @ L) + yy, xx = np.nonzero(tid >= 0) + t = tid[yy, xx]; w0, w1 = B0[yy, xx], B1[yy, xx]; w2 = 1 - w0 - w1 + v = tri[t] + P = w0[:, None] * cow[v[:, 0]] + w1[:, None] * cow[v[:, 1]] + w2[:, None] * cow[v[:, 2]] + N = w0[:, None] * vnw[v[:, 0]] + w1[:, None] * vnw[v[:, 1]] + w2[:, None] * vnw[v[:, 2]] + N /= np.maximum(np.linalg.norm(N, axis=1, keepdims=True), 1e-9) + uv = w0[:, None] * tri_uv[t, 0] + w1[:, None] * tri_uv[t, 1] + w2[:, None] * tri_uv[t, 2] + bvh = BVHTree.FromObject(body, dg) + lit = np.zeros(len(t), np.uint8); ao = np.full(len(t), 255, np.uint8) + Pl = (np.c_[P, np.ones(len(P))] @ Minv.T)[:, :3]; Nl = N @ Mi.T + do_ao = (nfr % ao_every == 0) + for j in range(len(t)): + o = Vector(Pl[j] + Nl[j] * 0.003) + lit[j] = 0 if bvh.ray_cast(o, Lloc, 3.0)[0] is not None else 1 + if do_ao: + n = Vector(Nl[j]).normalized(); tt = n.cross(Vector((0, 0, 1)) if abs(n.z) < 0.9 else Vector((1, 0, 0))).normalized(); bb = n.cross(tt) + free = 0 + for h in hemi: + dvec = tt * h[0] + bb * h[1] + n * h[2] + if bvh.ray_cast(o, dvec, 0.4)[0] is None: + free += 1 + ao[j] = int(round(255 * free / 8)) + cols["frame"].append(np.full(len(t), len(keys), np.int32)); cols["y"].append(yy.astype(np.uint8)); cols["x"].append(xx.astype(np.uint8)) + cols["N"].append(N.astype(np.float16)); cols["P"].append(P.astype(np.float16)); cols["uv"].append(uv.astype(np.float16)) + cols["part"].append(tlab[t]); cols["lit"].append(lit); cols["ao"].append(ao) + keys.append((a, d, i)); nfr += 1 + print("action", a, "done", len(keys), "frames", flush=True) + np.savez_compressed(out, key=np.array(keys), parts=np.array(parts), L=L, **{k: np.concatenate(v) for k, v in cols.items()}) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/measure_equipment_extent.py b/third_party/UO_Model3D_v13/pipeline/measure_equipment_extent.py new file mode 100644 index 0000000..e3c556a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/measure_equipment_extent.py @@ -0,0 +1,91 @@ +"""Extent of every people / equipment animation (body ids >= 400) around the UO anchor point, from anim.idx + anim.mul. + +Only the frame headers are read (centerX, centerY, width, height), so it takes seconds. Per frame, in pixels from the anchor: + left = centerX, right = width - centerX, up = centerY + height, down = -centerY +(the anchor is the pixel (centerX, centerY + height) of the stored frame, see README "Format .vd"; right and down count the anchor +column / row itself, so a canvas W x H with anchor (ax, ay) holds left=ax, right=W-ax, up=ay, down=H-ay). +The client mirrors directions 1..3 into 5..7, so for those left and right are swapped as well. + + python measure_equipment_extent.py [canvas as L,R,U,D, e.g. 128,128,192,64] +Keys of the result are ":", e.g. "anim:527" or "anim4:521" (anim, anim2 .. anim5 are all measured). +""" +import json, mmap, os, struct, sys + +N_ACT, N_DIR = 35, 5 +CUR = dict(left=68, right=68, up=86, down=34) # the 136x120 canvas, anchor (68,86); right / down include the anchor column / row + + +def measure(idx_path, mul_path, tag): + idx = open(idx_path, "rb").read() + n_entries = len(idx) // 12 + res = {} + with open(mul_path, "rb") as f: + mm = mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ) + body = 400 + while 35000 + (body - 400) * 175 + 175 <= n_entries: + base = 35000 + (body - 400) * 175 + ext = dict(left=0, right=0, up=-10**6, down=-10**6) + frames = blocks = 0 + worst = {} + for a in range(N_ACT): + for d in range(N_DIR): + look, length, _ = struct.unpack_from(" len(mm): + continue + blocks += 1 + cnt, = struct.unpack_from(" length: + continue + cx, cy, w, h = struct.unpack_from(" ext[k]: + ext[k] = val + worst[k] = (a, d) + if frames: + res["%s:%d" % (tag, body)] = dict(blocks=blocks, frames=frames, **ext, worst={k: list(v) for k, v in worst.items()}) + body += 1 + return res + + +def need(res, canvas): + """ids whose frames leave the canvas, with the overflow per side""" + out = {} + for b, e in res.items(): + over = {k: e[k] - canvas[k] for k in ("left", "right", "up", "down") if e[k] > canvas[k]} + if over: + out[b] = over + return out + + +if __name__ == "__main__": + src, out = sys.argv[1], sys.argv[2] + res = {} + for tag in ("anim", "anim2", "anim3", "anim4", "anim5"): + ip, mp = os.path.join(src, tag + ".idx"), os.path.join(src, tag + ".mul") + if os.path.exists(ip) and os.path.exists(mp): + r = measure(ip, mp, tag) + print("%-6s %4d animations with frames, %4d complete (35x5)" % (tag, len(r), sum(e["blocks"] == N_ACT * N_DIR for e in r.values()))) + res.update(r) + allmax = {k: max(e[k] for e in res.values()) for k in ("left", "right", "up", "down")} + print("body 400:", {k: res["anim:400"][k] for k in ("left", "right", "up", "down")}) + print("max over everything:", allmax, "at", {k: max(res, key=lambda b: res[b][k]) for k in allmax}) + cvs = [("current 136x120", CUR)] + if len(sys.argv) > 3: + cvs.append(("given", dict(zip(("left", "right", "up", "down"), map(int, sys.argv[3].split(",")))))) + for name, cv in cvs: + n = need(res, cv) + print("%-16s %s: %d animations leave the canvas, worst overflow %s" % (name, cv, len(n), + {k: max(o.get(k, 0) for o in n.values()) if n else 0 for k in ("left", "right", "up", "down")})) + json.dump(dict(canvas_current=CUR, max_all=allmax, bodies=res), open(out, "w"), indent=1) diff --git a/third_party/UO_Model3D_v13/pipeline/merge_anims.py b/third_party/UO_Model3D_v13/pipeline/merge_anims.py new file mode 100644 index 0000000..5a56a0b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/merge_anims.py @@ -0,0 +1,32 @@ +"""Merge per-action pose fits into anim_fit.pkl and write a quality table (worst-view silhouette IoU per frame).""" +import pickle, numpy as np, jax, jax.numpy as jnp +from body import *; from fit import *; from targets import targets +from vd import ACTIONS_PEOPLE +SOURCES = [("anim_fit_run1.pkl", [4, 5, 6, 16, 17, 20, 21, 30, 31, 32, 34]), + ("anim_fit2a.pkl", [0, 1, 2, 3, 7, 9, 10, 11, 15, 18, 33]), + ("anim_fit2b.pkl", [8, 12, 13, 14, 19, 22]), + ("anim_fit2c.pkl", [23, 24, 25, 26, 27, 28, 29])] +sf = pickle.load(open("shape_fit.pkl", "rb")) +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, {k: jnp.asarray(v) for k, v in sf["fixed"].items()}) +@jax.jit +def sil(pp): + P, R = fk(S, pose_from_params(pp)); return jnp.stack([render_sil(S, P, R, d) for d in range(5)]) +final, rows = {}, [] +for f, acts in SOURCES: + r = pickle.load(open(f, "rb")) + for a in acts: + final[a] = dict(poses=r[a]["poses"]) + T = targets(a); w = [] + for i in range(len(T)): + o = np.asarray(sil({k: jnp.asarray(v[i]) for k, v in r[a]["poses"].items()})) > 0.5 + s = T[i][..., 3] > 127 + w.append(min((o[d] & s[d]).sum() / max((o[d] | s[d]).sum(), 1) for d in range(5))) + final[a]["worst_iou"] = w + rows.append((a, ACTIONS_PEOPLE[a], len(T), np.mean(w), np.min(w))) +assert sorted(final) == list(range(35)), sorted(final) +pickle.dump(final, open("anim_fit.pkl", "wb")) +with open("quality_table.md", "w") as fh: + fh.write("| # | akcja | klatek | IoU średnie (najgorszy kierunek) | IoU min |\n|---|---|---|---|---|\n") + for a, n, F, m, mn in sorted(rows): + fh.write(f"| {a} | {n} | {F} | {m:.2f} | {mn:.2f} |\n") +print(open("quality_table.md").read()) diff --git a/third_party/UO_Model3D_v13/pipeline/merge_posefit.py b/third_party/UO_Model3D_v13/pipeline/merge_posefit.py new file mode 100644 index 0000000..6c31684 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/merge_posefit.py @@ -0,0 +1,42 @@ +"""Pick, per action, the best plausible pose set among all fitting runs (mesh-based IoU, anatomical limits).""" +import pickle, os, sys +import numpy as np +from posefit_mesh import evaluate +from vd import ACTIONS_PEOPLE +anim = pickle.load(open("anim_fit.pkl", "rb")); ref = pickle.load(open("refine_mesh.pkl", "rb")) +ridx = {s: i for i, s in enumerate(ref["samples"])} +BASE = os.environ.get("UO_BASE") # previous iteration's final poses (instead of the first-pass fits) + + +def old(a): + if BASE: + return {k: np.asarray(v) for k, v in pickle.load(open(BASE, "rb"))[a]["poses"].items()} + F = anim[a]["poses"]["trans"].shape[0] + return {n: np.stack([ref["poses"][n][ridx[(a, i)]] if (a, i) in ridx else anim[a]["poses"][n][i] for i in range(F)]) for n in ("ball", "hinge", "trans")} +files = [f for f in sys.argv[1:] if os.path.exists(f)] +runs = {f: pickle.load(open(f, "rb")) for f in files} +CACHE = os.environ.get("UO_CACHE", "merge_cache.pkl") +OUTF = os.environ.get("UO_FINAL", "final_poses.pkl") +cache = pickle.load(open(CACHE, "rb")) if os.path.exists(CACHE) else {} +final, table = {}, [] +for a in range(35): + cands = [] + if ("old", a) not in cache: + r, lim = evaluate(a, old(a)); cache[("old", a)] = (r, lim) + r, lim = cache[("old", a)] + cands.append(("old", old(a), r, lim)) + for f, res in runs.items(): + if a in res: + cands.append((f, res[a]["poses"], res[a]["iou"], res[a]["limits"])) + ok = [c for c in cands if c[3].max() < 0.01] or cands + best = max(ok, key=lambda c: c[2][:, 0].mean()) + final[a] = dict(poses=best[1], iou=best[2], limits=best[3], src=best[0]) + table.append((a, ACTIONS_PEOPLE[a], best[0], best[2][:, 0].mean(), best[2][:, 0].min(), best[2][:, 1].mean(), best[3].max(), + cands[0][2][:, 0].mean(), cands[0][3].max())) +pickle.dump(cache, open(CACHE, "wb")) +pickle.dump(final, open(OUTF, "wb")) +with open(os.environ.get("UO_TABLE", "quality_v4.md"), "w") as fh: + fh.write("| # | akcja | IoU najgorszy kier. (śr.) | min | IoU średnie | limity (max) | wcześniej IoU | wcześniej limity |\n|---|---|---|---|---|---|---|---|\n") + for a, n, src, m, mn, mm, lm, om, olm in table: + fh.write(f"| {a} | {n} | {m:.3f} | {mn:.3f} | {mm:.3f} | {lm:.4f} | {om:.3f} | {olm:.3f} |\n") + print(f"{a:2d} {n:24s} src={os.path.basename(src):16s} worst {m:.3f} min {mn:.3f} mean {mm:.3f} lim {lm:.4f} | old {om:.3f} lim {olm:.2f}") diff --git a/third_party/UO_Model3D_v13/pipeline/merge_v6.py b/third_party/UO_Model3D_v13/pipeline/merge_v6.py new file mode 100644 index 0000000..4199894 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/merge_v6.py @@ -0,0 +1,32 @@ +"""v6 merge: base = v5 (+ die actions with the floor term). Search results replace an action when the mean worst-view +IoU improves; floor-polish results replace it when the IoU is (nearly) unchanged (<= 0.003 lower) but less sinks +below the floor. Output: final_poses_v6pre.pkl (then jitter_fix.py -> final).""" +import pickle, numpy as np, jax.numpy as jnp +from posefit_mesh import GROUND, MOUNTED +from posefit_mesh import _posed_j +base = pickle.load(open("final_poses_v6base.pkl", "rb")) +out = {a: dict(r) for a, r in base.items()} + + +def sink(p): + F = p["trans"].shape[0] + return max(float(GROUND - np.asarray(_posed_j({k: jnp.asarray(v[i]) for k, v in p.items()}))[:, 2].min()) for i in range(F)) + + +for f in ("posefit_L1.pkl", "posefit_L2.pkl"): + for a, r in pickle.load(open(f, "rb")).items(): + o = out[a] + if r["limits"].max() < 0.01 and r["iou"][:, 0].mean() > o["iou"][:, 0].mean() + 1e-4: + print(f"{a:2d} search {o['iou'][:,0].mean():.3f} -> {r['iou'][:,0].mean():.3f} ({f})") + out[a] = dict(r, src=f) + else: + print(f"{a:2d} search kept {o['iou'][:,0].mean():.3f} (cand {r['iou'][:,0].mean():.3f})") +for a, r in pickle.load(open("posefit_P3.pkl", "rb")).items(): + o = out[a] + s0, s1 = sink(o["poses"]), sink(r["poses"]) + ok = r["limits"].max() < 0.01 and r["iou"][:, 1].mean() >= o["iou"][:, 1].mean() - 0.003 and s1 < s0 - 0.003 + print(f"{a:2d} floor sink {s0*100:.1f} -> {s1*100:.1f} cm IoU {o['iou'][:,1].mean():.3f} -> {r['iou'][:,1].mean():.3f} {'ACCEPT' if ok else 'keep'}") + if ok: + out[a] = dict(r, src="posefit_P3.pkl") +pickle.dump(out, open("final_poses_v6pre.pkl", "wb")) +print("saved final_poses_v6pre.pkl") diff --git a/third_party/UO_Model3D_v13/pipeline/metal_highlight_fit.py b/third_party/UO_Model3D_v13/pipeline/metal_highlight_fit.py new file mode 100644 index 0000000..e1b93c8 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/metal_highlight_fit.py @@ -0,0 +1,37 @@ +"""Is UO metal matte? Fits sprite = A*(0.0798+0.9202*c) + ks*c^n (c = N.L of the UO light, taken from the replica rendered by test_items.py with the grey +UO_Look material of albedo 0.35) on the interior pixels of 04_stand, 5 directions, for pants 431 (cloth), plate 527 and helm 563 (metal). +Result of session 10: cloth ks = 0; plate/helm ks 0.4-0.6, n 13-20 (linear domain), see SESSION_HANDOFF.md. + + python metal_highlight_fit.py DIR +""" +import os, sys, numpy as np +from PIL import Image +from scipy import ndimage, optimize +HERE=os.path.dirname(os.path.abspath(__file__)); sys.path.insert(0,os.path.join(HERE,"body13")) +from itemframes import canvas, load +S=os.path.abspath(sys.argv[1]) # the --tmp directory of: python test_items.py --items plate,helm,pants --actions 04_stand --tmp DIR +dec=lambda v:np.where(v<=0.04045,v/12.92,((v+0.055)/1.055)**2.4) +def data(item,anim): + bl=load(anim);C=[];P=[] + for d in range(5): + spr=canvas(bl.get((4,d)),0); y0,x0=192-86,128-68 + rr=np.array(Image.open(f"{S}/{item}/clothing/frames/04_stand/dir{d}/00.png").convert("RGBA"))[y0:y0+120,x0:x0+136] + m=ndimage.binary_erosion((rr[...,3]>0)&(spr[...,3]>0),iterations=2) + C.append(rr[m][:,:3].mean(1)); P.append(spr[m][:,:3].mean(1)) + C=np.concatenate(C);P=np.concatenate(P) + c=(dec(C/255)/0.35-0.0798)/0.9202 + return np.clip(c,0,1),P +for item,anim in (("pants",431),("plate",527),("helm",563)): + c,P=data(item,anim) + for name,dom in (("srgb",lambda v:v/255),("linear",lambda v:dec(v/255))): + y=dom(P) + def model(p,c,spec=True): + A,ks,n=p; return A*(0.0798+0.9202*c)+(ks*c**n if spec else 0) + best=None + for n0 in (8,30,100,300): + try: + r=optimize.least_squares(lambda p:model(p,c)-y,[0.3,0.5,n0],bounds=([0,0,1],[1.5,2,2000])) + except Exception as e: continue + if best is None or r.cost 127 +hidden = (horse_masks(a, F) & ~masks) if a in HORSE_OF else np.zeros_like(masks) +m = masks.any((0, 1)); ys, xs = np.nonzero(m); y0, y1, x0, x1 = max(ys.min() - 4, 0), min(ys.max() + 5, CANVAS_H), max(xs.min() - 4, 0), min(xs.max() + 5, CANVAS_W) +rows = [] +for i in range(F): + X = np.asarray(posed({k: jnp.asarray(v[i]) for k, v in res[a]["poses"].items()})) + row = [] + for d in range(5): + mk = raster_vec(np.asarray(project(jnp.asarray(X), d))[tris], CANVAS_W, CANVAS_H) & ~hidden[i, d] + s = masks[i, d] + img = np.full((CANVAS_H, CANVAS_W, 3), 30, np.uint8) + img[hidden[i, d]] = (70, 55, 40) + img[mk & s] = (200, 200, 200); img[s & ~mk] = (235, 60, 60); img[mk & ~s] = (70, 120, 255) + row.append(img[y0:y1, x0:x1]); row.append(np.full((y1 - y0, 2, 3), 90, np.uint8)) + rows.append(np.concatenate(row[:-1], 1)) +im = Image.fromarray(np.concatenate(rows, 0)); im.resize((im.width * 3, im.height * 3), Image.NEAREST).save(out) diff --git a/third_party/UO_Model3D_v13/pipeline/pack_originals.py b/third_party/UO_Model3D_v13/pipeline/pack_originals.py new file mode 100644 index 0000000..fe6d1c0 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/pack_originals.py @@ -0,0 +1,18 @@ +"""Put the original UO body frames into the .blend (enables EXACT_BODY / EXACT_COLORS). +Needs the client file copied here as body400.vd; run build_originals.py first. +usage: python pack_originals.py --blend UO_Body_0x190.blend""" +import bpy, sys, os, json +blend = sys.argv[sys.argv.index("--blend") + 1] +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene +img = bpy.data.images.get("UO_Original_Atlas") +if img: bpy.data.images.remove(img) +img = bpy.data.images.load(os.path.abspath("UO_Original_Atlas.png")); img.name = "UO_Original_Atlas" +img.colorspace_settings.name = "sRGB"; img.alpha_mode = "STRAIGHT"; img.pack() +mat = bpy.data.objects["UO_Body"].data.materials[0] +mat.node_tree.nodes["UOX_atlas"].image = img +t = bpy.data.texts.get("uo_original_frames.json") or bpy.data.texts.new("uo_original_frames.json") +t.from_string(open("uo_original_frames.json").read()) +sc["uo_exact"] = 1.0 +bpy.ops.wm.save_mainfile() +print("packed") diff --git a/third_party/UO_Model3D_v13/pipeline/param_shape.py b/third_party/UO_Model3D_v13/pipeline/param_shape.py new file mode 100644 index 0000000..d8a067f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/param_shape.py @@ -0,0 +1,104 @@ +"""Parametric body-part shape search scored by the TRUE silhouette IoU (rasterised mesh vs sprites), poses fixed. +Parameters: radial thickness of upper arm / forearm / thigh / shin, hand & head size, foot length & width.""" +import os, sys, pickle, time, json +import numpy as np +import jax, jax.numpy as jnp +from multiprocessing import Pool +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +from posefit_mesh import (md, defs, P0, pose_from_params, fk, S, W, BONE_JOINT, project, raster_vec, tris, targets, + horse_masks, HORSE_OF, CANVAS_W, CANVAS_H) + +POSES = sys.argv[1] if len(sys.argv) > 1 else "final_poses_v5.pkl" +STEP = int(os.environ.get("UO_FSTEP", "2")) +final = pickle.load(open(POSES, "rb")) +base = np.asarray(md["v"] + pickle.load(open(os.environ["UO_DELTA"], "rb"))["delta"], np.float64) +Wn = np.asarray(md["W"], np.float64); bones = md["bones"] +bd = {d[0]: (np.asarray(d[2], float), np.asarray(d[3], float)) for d in defs} + +PARAMS = ["upper_arm", "forearm", "thigh", "shin", "hand", "head", "foot_len", "foot_w"] + + +def shaped(s): + V = base.copy(); disp = np.zeros_like(V) + for j, b in enumerate(bones): + g = b.split(".")[0] + h, t = bd[b]; u = (t - h) / np.linalg.norm(t - h) + rel = base - h; along = (rel @ u)[:, None] * u; rad = rel - along + if g in ("upper_arm", "forearm", "thigh", "shin"): + dj = (s[g] - 1) * rad + elif g == "hand": + dj = (s["hand"] - 1) * rel + elif g == "head": + c = h + 0.5 * (t - h); dj = (s["head"] - 1) * (base - c) + elif g == "foot": + dj = (s["foot_len"] - 1) * along + (s["foot_w"] - 1) * rad + else: + continue + disp += Wn[:, j:j + 1] * dj + return V + disp + + +@jax.jit +def posed_with(pp, V): + pose = pose_from_params(pp) + P, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = P[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + X = jnp.einsum("bij,vj->vbi", Rb, V) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +SAMPLES = [] +MASKS = {} +for a in range(35): + T = targets(a); m = T[..., 3] > 127; F = len(T) + hid = (horse_masks(a, F) & ~m) if a in HORSE_OF else np.zeros_like(m) + for i in range(0, F, STEP): + SAMPLES.append((a, i)); MASKS[(a, i)] = (m[i], hid[i]) + + +def score_proj(item): + (a, i), P2s = item + s, hid = MASKS[(a, i)] + out = [] + for d in range(5): + mk = raster_vec(P2s[d][tris], CANVAS_W, CANVAS_H) & ~hid[d] + out.append((mk & s[d]).sum() / max((mk | s[d]).sum(), 1)) + return out + + +def score(s, pool): + V = jnp.asarray(shaped(s), jnp.float32) + items = [] + for a, i in SAMPLES: + X = posed_with({k: jnp.asarray(v[i]) for k, v in final[a]["poses"].items()}, V) + items.append(((a, i), [np.asarray(project(X, d)) for d in range(5)])) + r = np.array(pool.map(score_proj, items, chunksize=8)) + acts = np.array([a for a, _ in SAMPLES]) + per_act = np.array([r[acts == a].mean() for a in range(35)]) + return per_act.mean(), per_act + + +if __name__ == "__main__": + s = {p: 1.0 for p in PARAMS} + with Pool(4) as pool: + t0 = time.time() + best, pa = score(s, pool) + print("start mean IoU %.4f (%d frames, %.0fs)" % (best, len(SAMPLES), time.time() - t0), flush=True) + for step in (0.10, 0.05, 0.025): + improved = True + while improved: + improved = False + for p in PARAMS: + for sg in (+1, -1): + c = dict(s); c[p] = s[p] + sg * step + v, pa_c = score(c, pool) + if v > best + 1e-4: + best, s, pa = v, c, pa_c; improved = True + print(" %s -> %.3f mean IoU %.4f" % (p, c[p], v), flush=True) + break + print("step %.3f done: %s IoU %.4f" % (step, json.dumps({k: round(v, 3) for k, v in s.items()}), best), flush=True) + json.dump(s, open("param_shape.json", "w")) + V = shaped(s) + pickle.dump(dict(delta=(V - np.asarray(md["v"])).astype(np.float32), params=s), open("refine_param.pkl", "wb")) + print("saved refine_param.pkl", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/patch_final.py b/third_party/UO_Model3D_v13/pipeline/patch_final.py new file mode 100644 index 0000000..05fa7d4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/patch_final.py @@ -0,0 +1,191 @@ +"""Apply the all-frames refinement to the finished .blend: vertex offsets, refined poses, all-frames texture, +'UO look' material (unlit, grey like the sprites), half-pixel camera correction. Saves a new .blend.""" +import bpy, sys, os, math, pickle +import numpy as np +from mathutils import Vector +import jax.numpy as jnp +from body import JI, NJ, CANVAS_W, CANVAS_H, ANCHOR_X, ANCHOR_Y +from fit import params_to_shape, pose_from_params +from rig import bone_defs, apply_pose +from vd import ACTIONS_PEOPLE +from bpy_compat import clear_fcurves + +SRC = sys.argv[sys.argv.index("--src") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +TEXPNG = sys.argv[sys.argv.index("--tex") + 1] +LIGHT = pickle.load(open(sys.argv[sys.argv.index("--light") + 1], "rb")) if "--light" in sys.argv else None +PERDIR = sys.argv[sys.argv.index("--perdir") + 1] if "--perdir" in sys.argv else None # e.g. UO_Body_Albedo_dir +FINAL = pickle.load(open(sys.argv[sys.argv.index("--poses") + 1], "rb")) if "--poses" in sys.argv else None +os.makedirs(OUT, exist_ok=True) +STEP = 3 +PX_OFF = 0.5 +# the UO anchor lies ~7 cm above the soles of standing frames: lift the animation (and the camera) so that the floor is z = 0 +LIFT = float(sys.argv[sys.argv.index("--lift") + 1]) if "--lift" in sys.argv else 0.070 + +bpy.context.preferences.filepaths.save_version = 0 +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(SRC)) +sc = bpy.context.scene +body = bpy.data.objects["UO_Body"]; arm = bpy.data.objects["UO_Rig"] +sf = pickle.load(open("shape_fit.pkl", "rb")) +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, {k: jnp.asarray(v) for k, v in sf["fixed"].items()}) +Snp = {k: np.asarray(v, np.float64) for k, v in S.items()} +md = pickle.load(open("mesh_data.pkl", "rb")) +ref = pickle.load(open("refine_mesh.pkl", "rb")) +DELTA = pickle.load(open(sys.argv[sys.argv.index("--delta") + 1], "rb"))["delta"] if "--delta" in sys.argv else ref["delta"] +anim = pickle.load(open("anim_fit.pkl", "rb")) + +# 1) rest-pose vertex positions +arm.animation_data.action = None +apply_pose(arm, {d[0]: d[1] for d in bone_defs(Snp, np.zeros((NJ, 3)))}, np.zeros((NJ, 3)), np.zeros(3)) +newv = (md["v"] + DELTA).astype(np.float32) +body.data.vertices.foreach_set("co", newv.ravel()) +body.data.update() + +# 2) texture +img = bpy.data.images.get("UO_Body_Texture") +src = bpy.data.images.load(os.path.abspath(TEXPNG)) +px = np.zeros(src.size[0] * src.size[1] * 4, np.float32); src.pixels.foreach_get(px) +if img is None or tuple(img.size) != tuple(src.size): + img = bpy.data.images.new("UO_Body_Texture", src.size[0], src.size[1], alpha=False) +img.pixels.foreach_set(px) +img.update() +img.pack() +img.filepath = "//UO_Body_Texture.png" +bpy.data.images.remove(src) +old_grey = bpy.data.images.get("UO_Body_Texture_grey") +if old_grey: + bpy.data.images.remove(old_grey) + +# 3) material. The sprites were lit by a light fixed to the UO camera; the texture is the albedo (light removed). +# "UO look" (default) = albedo * (ambient + diffuse * max(0, N.L)) as emission -> renders like the sprites. +# "Lit" = ordinary Principled BSDF for editing / game engines. +theta_ = float(Snp["theta"]) +right_w = Vector((1, 0, 0)); up_w = Vector((0, math.sin(theta_), math.cos(theta_))); tow_w = right_w.cross(up_w) +Lc = LIGHT["L_camera"] if LIGHT else [0.0, 0.2, 0.98] +Lw = (right_w * Lc[0] + up_w * Lc[1] + tow_w * Lc[2]).normalized() +amb = LIGHT["ambient"] if LIGHT else 0.1 +dif = LIGHT["diffuse"] if LIGHT else 0.9 +mat = bpy.data.materials["UO_Skin"] +nt = mat.node_tree +nt.nodes.clear() +N = nt.nodes.new; Lk = nt.links.new +outn = N("ShaderNodeOutputMaterial"); outn.location = (700, 0) +tex = N("ShaderNodeTexImage"); tex.image = img; tex.location = (-900, 100); tex.label = "UO albedo (grey, from all frames)" +bsdf = N("ShaderNodeBsdfPrincipled"); bsdf.location = (-150, 350); bsdf.inputs["Roughness"].default_value = 0.8 +geo = N("ShaderNodeNewGeometry"); geo.location = (-900, -300) +ldir = N("ShaderNodeCombineXYZ"); ldir.location = (-900, -500); ldir.label = "UO light direction (world)" +for i, v in enumerate(Lw): + ldir.inputs[i].default_value = v +dot = N("ShaderNodeVectorMath"); dot.operation = "DOT_PRODUCT"; dot.location = (-650, -350) +mx = N("ShaderNodeMath"); mx.operation = "MAXIMUM"; mx.inputs[1].default_value = 0.0; mx.location = (-450, -350) +mad = N("ShaderNodeMath"); mad.operation = "MULTIPLY_ADD"; mad.location = (-250, -350); mad.label = "ambient + diffuse*cos" +mad.inputs[1].default_value = dif; mad.inputs[2].default_value = amb +mul = N("ShaderNodeMix"); mul.data_type = "RGBA"; mul.blend_type = "MULTIPLY"; mul.location = (-50, -150) +mul.inputs["Factor"].default_value = 1.0 +emis = N("ShaderNodeEmission"); emis.location = (200, -150) +mix = N("ShaderNodeMixShader"); mix.location = (450, 0); mix.label = "UO look" +look = N("ShaderNodeValue"); look.location = (200, 250); look.label = "UO look: 1 = like the sprites, 0 = normal lighting" +look.outputs[0].default_value = 1.0 +Lk(tex.outputs["Color"], bsdf.inputs["Base Color"]) +Lk(geo.outputs["Normal"], dot.inputs[0]); Lk(ldir.outputs["Vector"], dot.inputs[1]) +Lk(dot.outputs["Value"], mx.inputs[0]); Lk(mx.outputs["Value"], mad.inputs[0]) +uo_col = tex.outputs["Color"] +if PERDIR: + # per-direction albedo for the UO render: the rig's "uo_direction" (0..4) picks the texture; other values -> shared + dval = N("ShaderNodeValue"); dval.location = (-1500, -800); dval.label = "UO direction (driver)" + fc = dval.outputs[0].driver_add("default_value") + fc.driver.type = "AVERAGE" + var = fc.driver.variables.new(); var.type = "SINGLE_PROP" + var.targets[0].id_type = "OBJECT"; var.targets[0].id = arm; var.targets[0].data_path = '["uo_direction"]' + for k in range(5): + path = os.path.abspath(f"{PERDIR}{k}.png") + im = bpy.data.images.load(path); im.name = f"UO_Body_Albedo_dir{k}"; im.pack(); im.filepath = f"//UO_Body_Albedo_dir{k}.png" + tk = N("ShaderNodeTexImage"); tk.image = im; tk.location = (-1300, -700 - 260 * k); tk.label = f"albedo seen from UO direction {k}" + cmp = N("ShaderNodeMath"); cmp.operation = "COMPARE"; cmp.location = (-1050, -700 - 260 * k) + cmp.inputs[1].default_value = float(k); cmp.inputs[2].default_value = 0.5 + Lk(dval.outputs[0], cmp.inputs[0]) + mk = N("ShaderNodeMix"); mk.data_type = "RGBA"; mk.location = (-850, -700 - 260 * k) + Lk(cmp.outputs[0], mk.inputs["Factor"]); Lk(uo_col, mk.inputs[6]); Lk(tk.outputs["Color"], mk.inputs[7]) + uo_col = mk.outputs[2] +Lk(uo_col, mul.inputs[6]) +Lk(mad.outputs["Value"], mul.inputs[7]) +Lk(mul.outputs[2], emis.inputs["Color"]) +Lk(look.outputs[0], mix.inputs["Fac"]) +Lk(bsdf.outputs["BSDF"], mix.inputs[1]); Lk(emis.outputs["Emission"], mix.inputs[2]) +Lk(mix.outputs["Shader"], outn.inputs["Surface"]) +ramp = N("ShaderNodeValToRGB"); ramp.location = (-600, 450); ramp.label = "Skin hue (optional, UO-style)" +bw = N("ShaderNodeRGBToBW"); bw.location = (-750, 450) +Lk(tex.outputs["Color"], bw.inputs["Color"]); Lk(bw.outputs["Val"], ramp.inputs["Fac"]) +cr = ramp.color_ramp +cr.elements[0].color = (0.10, 0.06, 0.04, 1); cr.elements[1].color = (1.0, 0.86, 0.74, 1) +sc.view_settings.view_transform = "Standard" # exact sprite colours +sc["uo_light_camera_space"] = list(Lc); sc["uo_light_ambient"] = amb; sc["uo_light_diffuse"] = dif +sun = bpy.data.objects.get("UO_Sun") +if sun: # for the "Lit" branch put the scene sun where the UO light is + sun.rotation_euler = (-Lw).to_track_quat("-Z", "Y").to_euler() + +# 3b) clavicle bones: chest -> clavicle -> upper arm. They do not deform the mesh themselves; their LOCATION moves +# the whole arm chain (shoulder up/out when the arm is raised), fitted per frame like the other joints. +def ensure_clavicles(arm_ob): + if "clavicle.L" in arm_ob.data.bones: + return + bpy.context.view_layer.objects.active = arm_ob + bpy.ops.object.mode_set(mode="EDIT") + eb = arm_ob.data.edit_bones + for s_, sx in (("L", 1.0), ("R", -1.0)): + ua = eb["upper_arm." + s_] + c = eb.new("clavicle." + s_) + c.head = Vector((sx * 0.03, ua.head.y - 0.035, ua.head.z - 0.045)) + c.tail = ua.head.copy() + c.align_roll(Vector((0.0, -1.0, 0.0))) + c.parent = eb["chest"]; c.use_connect = False; c.use_deform = False + ua.parent = c; ua.use_connect = True + bpy.ops.object.mode_set(mode="OBJECT") + + +ensure_clavicles(arm) +CLAV_B = {s_: np.array(arm.data.bones["clavicle." + s_].matrix_local.to_3x3()) for s_ in "LR"} + +# 4) actions: refined poses (non-mounted), fitted poses (mounted) +bone_joint = {d[0]: d[1] for d in bone_defs(Snp, np.zeros((NJ, 3)))} +ref_pose = {} +for k, (a, i) in enumerate(ref["samples"]): + ref_pose[(a, i)] = {n: ref["poses"][n][k] for n in ("ball", "hinge", "trans")} +for a in range(35): + name = f"{a:02d}_{ACTIONS_PEOPLE[a]}" + act = bpy.data.actions[name] + clear_fcurves(act) + arm.animation_data.action = act + F = anim[a]["poses"]["trans"].shape[0] + cyc = a in (0, 1, 2, 3, 23, 24) + keys = list(range(F)) + ([0] if cyc and F > 1 else []) + for ki, i in enumerate(keys): + if FINAL is not None: + pp = {k: v[i] for k, v in FINAL[a]["poses"].items()} + else: + pp = ref_pose.get((a, i)) or {k: v[i] for k, v in anim[a]["poses"].items()} + pose = pose_from_params({k: jnp.asarray(v) for k, v in pp.items()}) + apply_pose(arm, bone_joint, np.asarray(pose["rot"]), np.asarray(pose["trans"]) + np.array([0.0, 0.0, LIFT])) + if "clav" in pp: # offset in the chest frame -> clavicle location in its own rest frame + for k_, s_ in enumerate("LR"): + arm.pose.bones["clavicle." + s_].location = Vector((CLAV_B[s_].T @ np.asarray(pp["clav"][k_], float)).tolist()) + for pb in arm.pose.bones: + pb.keyframe_insert("rotation_quaternion", frame=1 + ki * STEP, group=pb.name) + if pb.parent is None or pb.name.startswith("clavicle."): + pb.keyframe_insert("location", frame=1 + ki * STEP, group=pb.name) +arm.animation_data.action = bpy.data.actions["04_stand"] + +# 5) camera: UO anchor sits on the pixel centre (+0.5 px in x) +theta, scale = float(Snp["theta"]), float(Snp["scale"]) +co = bpy.data.objects["UO_Camera"] +up = Vector((0, math.sin(theta), math.cos(theta))) +view = Vector((0, math.cos(theta), -math.sin(theta))) +target = up * ((ANCHOR_Y - CANVAS_H / 2) / scale) + Vector(((CANVAS_W / 2 - ANCHOR_X - PX_OFF) / scale, 0, LIFT)) +co.location = target - view * 10 +sc["uo_anchor_px"] = [ANCHOR_X + PX_OFF, ANCHOR_Y] +sc["uo_anchor_height"] = LIFT # world height of the UO anchor point (floor = 0) + +txt = bpy.data.texts.get("render_uo_sprites.py") or bpy.data.texts.new("render_uo_sprites.py") +txt.from_string(open("render_uo_sprites.py").read()) +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(OUT, "UO_Body_0x190.blend"))) +print("saved", os.path.join(OUT, "UO_Body_0x190.blend")) diff --git a/third_party/UO_Model3D_v13/pipeline/perdir_bake.py b/third_party/UO_Model3D_v13/pipeline/perdir_bake.py new file mode 100644 index 0000000..2dfc66c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/perdir_bake.py @@ -0,0 +1,29 @@ +"""Per-direction albedo textures (same lighting model), blended with the global albedo where a direction sees little.""" +import sys, pickle, time +import numpy as np +from PIL import Image +sys.argv = ["delight_bake.py"] +src = open("delight_bake.py").read() +exec(src.split("# ---- 1) subsample for the light fit")[0]) +light = pickle.load(open("uo_light.pkl", "rb")) +Lc = np.array(light["L_camera"]); amb, dif = light["ambient"], light["diffuse"] +glob = srgb2lin(np.array(Image.open("UO_Body_Albedo.png").convert("RGB")).astype(np.float64))[ty, tx] +num = np.zeros((5, NT, 3)); den = np.zeros((5, NT)) +for s in range(NS): + X, nrm, Pt, Nt = frame_geom(s) + zc = {} + for d in range(5): + idx, col, ncam, w = visible_samples(s, d, X, nrm, Pt, Nt, zc) + sh = amb + dif * np.maximum(ncam @ Lc, 0) + diff = np.linalg.norm(glob[idx] * sh[:, None] - col, axis=1) + w = w * np.exp(-0.5 * (diff / 0.12) ** 2) + np.add.at(num[d], idx, w[:, None] * col * sh[:, None]); np.add.at(den[d], idx, w * sh * sh) +from texbake import pull_push_fill +for d in range(5): + alb = num[d] / np.maximum(den[d], 1e-9)[:, None] + conf = np.clip(den[d] / 2.0, 0, 1)[:, None] # little evidence -> fall back to the global albedo + mixd = alb * conf + glob * (1 - conf) + tex = np.zeros((TEX, TEX, 3)); wt = np.zeros((TEX, TEX)) + tex[ty, tx] = lin2srgb(mixd); wt[ty, tx] = 1.0 + Image.fromarray(np.clip(pull_push_fill(tex, wt), 0, 255).astype(np.uint8)).save(f"UO_Body_Albedo_dir{d}.png") + print("dir", d, "texels seen %.1f%%" % (100 * (den[d] > 1e-9).mean()), f"{time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/posefit_mesh.py b/third_party/UO_Model3D_v13/pipeline/posefit_mesh.py new file mode 100644 index 0000000..b08694e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/posefit_mesh.py @@ -0,0 +1,286 @@ +"""Pose fitting on the real skinned mesh (refined rest mesh + skin weights), all frames of an action jointly. + +Loss per frame (5 UO directions): + inside : projected vertices must lie inside the sprite silhouette (distance transform, bilinear) + cover : every sprite boundary pixel must have a projected vertex within ~0.7 px (min-distance, differentiable) + limits : anatomical swing / twist limits per joint (swing-twist decomposition), hinge limits + smooth : temporal smoothness between frames (cyclic for loops) + prior : pull toward a natural pose (small) +""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.ndimage import distance_transform_edt, binary_erosion +from body import * +from fit import params_to_shape, pose_from_params, BALL_IDX, HINGE_IDX, HINGE_AX +from rig import bone_defs +from targets import targets + +sf = pickle.load(open("shape_fit.pkl", "rb")) +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, {k: jnp.asarray(v) for k, v in sf["fixed"].items()}) +md = pickle.load(open("mesh_data.pkl", "rb")) +ref = pickle.load(open("refine_mesh.pkl", "rb")) +DELTA_FILE = os.environ.get("UO_DELTA", "refine_mesh.pkl") # rest-mesh offsets (shape refinement result) +V0 = jnp.asarray(md["v"] + pickle.load(open(DELTA_FILE, "rb"))["delta"], jnp.float32) +W = jnp.asarray(md["W"], jnp.float32) +P0, _ = fk(S, zero_pose()) +defs = bone_defs({k: np.asarray(v) for k, v in S.items()}, np.asarray(P0)) +joint_of = {d[0]: d[1] for d in defs} +BONE_JOINT = np.array([JI[joint_of[b]] for b in md["bones"]]) +CAM = [camera(S, d) for d in range(5)] +RIGHT = jnp.stack([c[0] for c in CAM]); UP = jnp.stack([c[1] for c in CAM]) +SC = S["scale"] +PX_OFF = 0.5 +BI = {j: i for i, j in enumerate(BALL_IDX)} +HI = {j: i for i, j in enumerate(HINGE_IDX)} +MOUNTED = set(range(23, 30)) +CYCLIC = {0, 1, 2, 3, 23, 24} + +# lower-body vertices (ignored by the 'inside' term on mounted frames: the horse hides them in the sprites) +leg_cols = [md["bones"].index(b) for b in md["bones"] if b.split(".")[0] in ("thigh", "shin", "foot", "pelvis")] +LEGV = jnp.asarray(np.asarray(md["W"])[:, leg_cols].sum(1) > 0.5) + +# ---------------------------------------------------------------- anatomical limits +sa, ca = np.sin(ARM_REST_ANGLE), np.cos(ARM_REST_ANGLE) +sl, cl = np.sin(LEG_REST_ANGLE), np.cos(LEG_REST_ANGLE) +# joint: (bone axis in rest frame, max swing deg, max |twist| deg) +LIM = { + "spine": ((0, 0, 1), 35, 30), "chest": ((0, 0, 1), 30, 30), "neck": ((0, 0, 1), 35, 40), "head": ((0, 0, 1), 35, 45), + "shoulder.L": ((sa, 0, -ca), 170, 75), "shoulder.R": ((-sa, 0, -ca), 170, 75), + "wrist.L": ((sa, 0, -ca), 60, 80), "wrist.R": ((-sa, 0, -ca), 60, 80), + "hip.L": ((sl, 0, -cl), 125, 40), "hip.R": ((-sl, 0, -cl), 125, 40), + "ankle.L": ((0, -1, 0), 45, 25), "ankle.R": ((0, -1, 0), 45, 25), +} +LJ = list(LIM) +LIDX = np.array([BI[JI[j]] for j in LJ]) +LAX = jnp.asarray(np.array([np.array(LIM[j][0]) / np.linalg.norm(LIM[j][0]) for j in LJ]), jnp.float32) +LSW = jnp.asarray(np.radians([LIM[j][1] for j in LJ]), jnp.float32) +LTW = jnp.asarray(np.radians([LIM[j][2] for j in LJ]), jnp.float32) + + +def swing_twist(r, a): + th = jnp.sqrt(jnp.sum(r * r) + 1e-12) + w = jnp.cos(th / 2); v = jnp.sin(th / 2) * r / th + twist = 2 * jnp.arctan2(jnp.dot(v, a), w) + twist = jnp.arctan2(jnp.sin(twist), jnp.cos(twist)) + R = rodrigues(r) + swing = jnp.arccos(jnp.clip(jnp.dot(R @ a, a), -1 + 1e-6, 1 - 1e-6)) + return swing, twist + + +def limit_penalty(pp): + b = pp["ball"][LIDX] + sw, tw = jax.vmap(swing_twist)(b, LAX) + pen = jnp.sum(jax.nn.relu(sw - LSW) ** 2) + jnp.sum(jax.nn.relu(jnp.abs(tw) - LTW) ** 2) + # hips: no hyper-extension backwards, limited adduction (thigh direction in the pelvis frame) + for side, sx in (("L", 1.0), ("R", -1.0)): + r = pp["ball"][BI[JI["hip." + side]]] + d = rodrigues(r) @ jnp.array([sx * sl, 0.0, -cl]) + pen += jax.nn.relu(d[1] - 0.45) ** 2 + jax.nn.relu(-sx * d[0] - 0.35) ** 2 + jax.nn.relu(d[2] - 0.6) ** 2 + h = pp["hinge"] + for j in ("elbow.L", "elbow.R"): + e = h[HI[JI[j]]] + pen += jax.nn.relu(e) ** 2 + jax.nn.relu(-2.6 - e) ** 2 + for j in ("knee.L", "knee.R"): + k = h[HI[JI[j]]] + pen += jax.nn.relu(-k) ** 2 + jax.nn.relu(k - 2.6) ** 2 + return pen + + +def natural_prior(pp): + b = pp["ball"] + # everything but the root prefers small rotations (very weak) + pr = jnp.sum(b[1:] ** 2) * 1.0 + if "clav" in pp: # shoulder (clavicle) offsets: small unless the silhouettes need them, at most ~8 cm + n = jnp.sqrt(jnp.sum(pp["clav"] ** 2, -1) + 1e-12) + pr += 1500.0 * jnp.sum(pp["clav"] ** 2) + 50000.0 * jnp.sum(jax.nn.relu(n - 0.08) ** 2) + return pr + + +# ---------------------------------------------------------------- mesh posing / projection +# arm chain bones (upper arm, forearm, hand) per side: they follow the clavicle offset +ARM_L = jnp.asarray([JI[joint_of[b]] in (JI["shoulder.L"], JI["elbow.L"], JI["wrist.L"]) for b in md["bones"]], jnp.float32) +ARM_R = jnp.asarray([JI[joint_of[b]] in (JI["shoulder.R"], JI["elbow.R"], JI["wrist.R"]) for b in md["bones"]], jnp.float32) + + +def posed(pp): + pose = pose_from_params(pp) + P, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = P[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + if "clav" in pp: # clavicle: the whole arm chain shifts by an offset given in the chest frame + Rc = R[JI["chest"]] + tb = tb + ARM_L[:, None] * (Rc @ pp["clav"][0])[None] + ARM_R[:, None] * (Rc @ pp["clav"][1])[None] + X = jnp.einsum("bij,vj->vbi", Rb, V0) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def project(X, d): + return jnp.stack([ANCHOR_X + PX_OFF + SC * (X @ RIGHT[d]), ANCHOR_Y - SC * (X @ UP[d])], -1) + + +def bilinear(img, xy): + x = jnp.clip(xy[:, 0] - 0.5, 0, img.shape[1] - 1.001) + y = jnp.clip(xy[:, 1] - 0.5, 0, img.shape[0] - 1.001) + x0 = jnp.floor(x).astype(int); y0 = jnp.floor(y).astype(int) + fx, fy = x - x0, y - y0 + return (img[y0, x0] * (1 - fx) * (1 - fy) + img[y0, x0 + 1] * fx * (1 - fy) + + img[y0 + 1, x0] * (1 - fx) * fy + img[y0 + 1, x0 + 1] * fx * fy) + + +NB = 260 # boundary pixels per view (padded) + + +GROUND = float(os.environ.get("UO_GROUND", "-0.070")) # sole level of standing frames (the UO anchor is ~7 cm above it) +W_GROUND = float(os.environ.get("UO_W_GROUND", "1.0")) + + +def ground_penalty(X): + """nothing sinks into the floor (0.3 px tolerance), in px^2 like the 'inside' term""" + return jnp.mean(jax.nn.relu((GROUND - X[:, 2]) * SC - 0.3) ** 2) + + +def frame_terms(pp, dto, bpx, bm, mounted): + X = posed(pp) + ins = W_GROUND * 5.0 * ground_penalty(X); cov = 0.0 + for d in range(5): + p = project(X, d) + di = jnp.where(LEGV, bilinear(dto[d, 0], p), bilinear(dto[d, 1], p)) ** 2 + ins += jnp.mean(di) + dist = jnp.sqrt(jnp.min(jnp.sum((bpx[d][:, None, :] - p[None, :, :]) ** 2, -1), 1) + 1e-9) + cov += jnp.sum(bm[d] * jax.nn.relu(dist - 0.7) ** 2) / (jnp.sum(bm[d]) + 1.0) + return ins, cov + + +HORSE_OF = {23: 0, 24: 1, 25: 2, 26: 2, 27: 2, 28: 2, 29: 2} # rider action -> horse (body 0xC8) action +_horse = None + + +def horse_masks(a, F): + """Masks of the horse drawn under the rider (same anchor). Rider pixels hidden by the horse are unknown.""" + global _horse + if _horse is None: + sys.path.insert(0, "../vdtool") + import vdtool + _, _horse = vdtool.read_vd("horse200.vd") + import vdtool + ha = HORSE_OF[a] + out = np.zeros((F, 5, CANVAS_H, CANVAS_W), bool) + for d in range(5): + blk = _horse[ha * 5 + d] + for i in range(F): + fr = blk["frames"][i % len(blk["frames"])] + rgba = vdtool.frame_rgba(fr, blk["palette"]) + x0, y0 = ANCHOR_X - fr["cx"], ANCHOR_Y - (fr["cy"] + fr["h"]) + ys, xs = np.nonzero(rgba[..., 3] > 0) + ys, xs = ys + y0, xs + x0 + ok = (ys >= 0) & (ys < CANVAS_H) & (xs >= 0) & (xs < CANVAS_W) + out[i, d, ys[ok], xs[ok]] = True + return out + + +def prepare(a): + T = targets(a) + F = len(T) + m = T[..., 3] > 127 + allowed = m | horse_masks(a, F) if a in HORSE_OF else m # rider's LOWER body may be hidden behind the horse + dto_a = np.stack([[np.maximum(distance_transform_edt(~allowed[i, d]) - 0.5, 0) for d in range(5)] for i in range(F)]).astype(np.float32) + dto_r = np.stack([[np.maximum(distance_transform_edt(~m[i, d]) - 0.5, 0) for d in range(5)] for i in range(F)]).astype(np.float32) + dto = np.stack([dto_a, dto_r], 2) # (F,5,2,H,W): [allowed for legs/pelvis, rider-only for the rest] + bpx = np.zeros((F, 5, NB, 2), np.float32); bm = np.zeros((F, 5, NB), np.float32) + for i in range(F): + for d in range(5): + edge = m[i, d] & ~binary_erosion(m[i, d]) + ys, xs = np.nonzero(edge) + if len(ys) > NB: + sel = np.linspace(0, len(ys) - 1, NB).astype(int); ys, xs = ys[sel], xs[sel] + n = len(ys) + bpx[i, d, :n] = np.stack([xs + 0.5, ys + 0.5], 1); bm[i, d, :n] = 1 + return F, jnp.asarray(dto), jnp.asarray(bpx), jnp.asarray(bm), m + + +def fit_action(a, init, iters=500, lr=0.01, w_smooth=0.3, w_lim=200.0, w_prior=0.02, log=True): + F, dto, bpx, bm, m = prepare(a) + mounted = jnp.asarray(a in MOUNTED) + cyc = a in CYCLIC + init = {k: jnp.asarray(v) for k, v in init.items()} + + def loss(pp): + ins, cov = jax.lax.map(lambda x: frame_terms(x[0], x[1], x[2], x[3], mounted), + (pp, dto, bpx, bm)) + lim = jax.vmap(limit_penalty)(pp) + pri = jax.vmap(natural_prior)(pp) + sm = 0.0 + if F > 1: + for k in pp: + x = pp[k] + wk = 20.0 if k in ("trans", "clav") else 1.0 + sm += jnp.sum((x[1:] - x[:-1]) ** 2) * wk + if cyc: + sm += jnp.sum((x[0] - x[-1]) ** 2) * wk + total = jnp.sum(4.0 * ins + cov) + w_lim * jnp.sum(lim) + w_prior * jnp.sum(pri) + w_smooth * sm + return total, (jnp.mean(ins), jnp.mean(cov), jnp.sum(lim)) + + vg = jax.jit(jax.value_and_grad(loss, has_aux=True)) + opt = optax.adam(optax.exponential_decay(lr, iters, 0.2)) + pp = init; st = opt.init(pp) + t0 = time.time() + for it in range(iters): + (l, aux), g = vg(pp) + up, st = opt.update(g, st, pp) + pp = optax.apply_updates(pp, up) + if log and (it % 100 == 0 or it == iters - 1): + print(f" a{a} it {it} loss {float(l):.2f} inside {float(aux[0]):.3f} cover {float(aux[1]):.3f} limits {float(aux[2]):.4f} {time.time()-t0:.0f}s", flush=True) + return {k: np.asarray(v) for k, v in pp.items()}, m + + +# ---------------------------------------------------------------- evaluation +from texbake import tri_raster +tris = np.asarray(md["tris"]) + + +def raster_vec(P, W_, H_, maxbox=12): + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + size = np.clip(mx - mn, 0, maxbox) + a, b, c = P[:, 0], P[:, 1], P[:, 2] + den = (b[:, 1] - c[:, 1]) * (a[:, 0] - c[:, 0]) + (c[:, 0] - b[:, 0]) * (a[:, 1] - c[:, 1]) + ok = np.abs(den) > 1e-12 + img = np.zeros((H_, W_), bool) + for dy in range(int(size[:, 1].max()) + 1): + for dx in range(int(size[:, 0].max()) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy + cx, cy = px + 0.5, py + 0.5 + aa, bb, cc, dd = a[t], b[t], c[t], den[t] + l0 = ((bb[:, 1] - cc[:, 1]) * (cx - cc[:, 0]) + (cc[:, 0] - bb[:, 0]) * (cy - cc[:, 1])) / dd + l1 = ((cc[:, 1] - aa[:, 1]) * (cx - cc[:, 0]) + (aa[:, 0] - cc[:, 0]) * (cy - cc[:, 1])) / dd + l2 = 1 - l0 - l1 + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (l2 >= -1e-4) & (px >= 0) & (py >= 0) & (px < W_) & (py < H_) + img[py[k], px[k]] = True + return img + + +_posed_j = jax.jit(posed) +_lim_j = jax.jit(jax.vmap(limit_penalty)) + + +def evaluate(a, poses, masks=None): + """returns per-frame (worst-view IoU, mean IoU) and per-frame limit penalty. + Mounted actions: model pixels that the horse would cover (and the rider sprite does not) are not errors.""" + if masks is None: + masks = targets(a)[..., 3] > 127 + F = masks.shape[0] + hidden = (horse_masks(a, F) & ~masks) if a in HORSE_OF else np.zeros_like(masks) + res = [] + for i in range(F): + pp = {k: jnp.asarray(v[i]) for k, v in poses.items()} + X = np.asarray(_posed_j(pp)) + ious = [] + for d in range(5): + p = np.asarray(project(jnp.asarray(X), d)) + mk = raster_vec(p[tris], CANVAS_W, CANVAS_H) & ~hidden[i, d] + s = masks[i, d] + ious.append((mk & s).sum() / max((mk | s).sum(), 1)) + res.append((min(ious), float(np.mean(ious)))) + lim = np.asarray(_lim_j({k: jnp.asarray(v) for k, v in poses.items()})) + return np.array(res), lim diff --git a/third_party/UO_Model3D_v13/pipeline/posefit_polish.py b/third_party/UO_Model3D_v13/pipeline/posefit_polish.py new file mode 100644 index 0000000..f6cf07a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/posefit_polish.py @@ -0,0 +1,25 @@ +"""Joint polish of whole actions from a base pose file (all loss terms incl. the ground term).""" +import sys, os, time, pickle +import numpy as np +from posefit_mesh import * +from posefit_mesh import _posed_j + +BASE = sys.argv[sys.argv.index("--base") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +ITERS = int(os.environ.get("UO_ITERS", "300")) +ACTS = [int(a) for a in sys.argv[1:] if a.isdigit() and sys.argv[sys.argv.index(a) - 1] not in ("--base", "--out")] +base = pickle.load(open(BASE, "rb")) +for a in ACTS: + t0 = time.time() + init = {k: np.asarray(v) for k, v in base[a]["poses"].items()} + if os.environ.get("UO_CLAV") and "clav" not in init: # add clavicle offsets (start at 0) + init["clav"] = np.zeros((init["trans"].shape[0], 2, 3), np.float32) + batch, masks = fit_action(a, init, iters=ITERS, lr=float(os.environ.get("UO_LR", "0.004")), log=False) + r, lim = evaluate(a, batch, masks) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[a] = dict(poses=batch, iou=r, limits=lim) + pickle.dump(res, open(OUT, "wb")) + X = [np.asarray(_posed_j({k: jnp.asarray(v[i]) for k, v in batch.items()}))[:, 2].min() for i in range(len(r))] + r0 = base[a]["iou"] + print(f"action {a:2d} worstIoU {r0[:,0].mean():.3f} -> {r[:,0].mean():.3f} mean {r0[:,1].mean():.3f} -> {r[:,1].mean():.3f}" + f" lowest z {min(X):+.3f} max limit {lim.max():.4f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/posefit_search.py b/third_party/UO_Model3D_v13/pipeline/posefit_search.py new file mode 100644 index 0000000..3553c65 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/posefit_search.py @@ -0,0 +1,138 @@ +"""Local multi-start search for frames stuck in local minima (mostly arms swinging weapons). +For each frame: current pose + random perturbations of ONE arm (shoulder/elbow/wrist) and of the torso, +each optimised; keep the best data fit; then refine the whole action with temporal smoothness. +No left/right swapping: every candidate is a local perturbation of the current (verified) pose.""" +import sys, os, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +from posefit_mesh import * + +BASE = sys.argv[sys.argv.index("--base") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +NCAND = int(sys.argv[sys.argv.index("--n") + 1]) if "--n" in sys.argv else 10 +ACTS = [int(a) for k, a in enumerate(sys.argv[1:], 1) if a.isdigit() and sys.argv[k - 1] not in ("--n", "--base", "--out")] +base = pickle.load(open(BASE, "rb")) +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} +rng = np.random.default_rng(1) + + +def single_fit_fn(a): + mounted = jnp.asarray(a in MOUNTED) + + def loss(pp, nb, dto, bpx, bm, w_nb): + ins, cov = frame_terms(pp, dto, bpx, bm, mounted) + l = 4.0 * ins + cov + 200.0 * limit_penalty(pp) + 0.02 * natural_prior(pp) + l += w_nb * (jnp.sum((pp["ball"] - nb["ball"]) ** 2) + jnp.sum((pp["hinge"] - nb["hinge"]) ** 2) + + 20.0 * jnp.sum((pp["trans"] - nb["trans"]) ** 2)) + return l, (ins, cov) + vg = jax.jit(jax.value_and_grad(loss, has_aux=True)) + ev = jax.jit(loss) + + def fit(init, nb, dto, bpx, bm, iters=250, lr=0.02, w_nb=0.0): + opt = optax.adam(optax.exponential_decay(lr, iters, 0.3)) + pp = {k: jnp.asarray(v) for k, v in init.items()}; st = opt.init(pp) + nbj = {k: jnp.asarray(v) for k, v in nb.items()} + for _ in range(iters): + (l, _), g = vg(pp, nbj, dto, bpx, bm, w_nb) + up, st = opt.update(g, st, pp) + pp = optax.apply_updates(pp, up) + l, (ins, cov) = ev(pp, nbj, dto, bpx, bm, 0.0) + lim = float(limit_penalty(pp)) + return {k: np.asarray(v) for k, v in pp.items()}, float(4.0 * ins + cov), lim + return fit + + +ARM = {"L": ("shoulder.L", "elbow.L", "wrist.L"), "R": ("shoulder.R", "elbow.R", "wrist.R")} + + +from scipy.spatial.transform import Rotation as Rot + + +def yaw_compose(rv, deg): + return (Rot.from_euler("z", deg, degrees=True) * Rot.from_rotvec(rv)).as_rotvec() + + +def twist_candidate(p, deg): + """Turn the upper body by `deg` around the vertical: 1/3 pelvis (legs counter-rotated), 1/3 spine, 1/3 chest.""" + q = {k: v.copy() for k, v in p.items()} + part = deg / 3.0 + q["ball"][BI[JI["pelvis"]]] = yaw_compose(q["ball"][BI[JI["pelvis"]]], part) + for h in ("hip.L", "hip.R"): + q["ball"][BI[JI[h]]] = yaw_compose(q["ball"][BI[JI[h]]], -part) + for j in ("spine", "chest"): + q["ball"][BI[JI[j]]] = yaw_compose(q["ball"][BI[JI[j]]], part) + return q + + +TWISTS = [int(t) for t in os.environ.get("UO_TWISTS", "-90,-60,-30,30,60,90").split(",") if t] +LEANS = [int(t) for t in os.environ.get("UO_LEANS", "").split(",") if t] + + +def roll_compose(rv, deg): + return (Rot.from_euler("y", deg, degrees=True) * Rot.from_rotvec(rv)).as_rotvec() + + +def lean_candidate(p, deg): + """Bend the upper body sideways by `deg` (half spine, half chest), head kept upright.""" + q = {k: v.copy() for k, v in p.items()} + for j in ("spine", "chest"): + q["ball"][BI[JI[j]]] = roll_compose(q["ball"][BI[JI[j]]], deg / 2.0) + q["ball"][BI[JI["neck"]]] = roll_compose(q["ball"][BI[JI["neck"]]], -deg / 2.0) + return q + + +KINDS = [int(k) for k in os.environ.get("UO_KINDS", "0,1,2").split(",")] # 0/1 arm L/R, 2 torso, 3 leg, 4 whole body + + +def perturb(p): + q = {k: v.copy() for k, v in p.items()} + kind = KINDS[rng.integers(0, len(KINDS))] + if kind == 3: # one leg + s_ = "L" if rng.integers(0, 2) == 0 else "R" + q["ball"][BI[JI["hip." + s_]]] += rng.normal(0, 0.5, 3) + q["hinge"][HI[JI["knee." + s_]]] = np.clip(q["hinge"][HI[JI["knee." + s_]]] + rng.normal(0, 0.6), 0.0, 2.5) + q["ball"][BI[JI["ankle." + s_]]] = rng.normal(0, 0.2, 3) + return q + if kind == 4: # whole body orientation + position + q["ball"][BI[JI["pelvis"]]] = (Rot.from_rotvec(rng.normal(0, 0.25, 3)) * Rot.from_rotvec(q["ball"][BI[JI["pelvis"]]])).as_rotvec() + q["trans"] = q["trans"] + rng.normal(0, 0.03, 3) + return q + if kind < 2: # one arm + sh, el, wr = ARM["L" if kind == 0 else "R"] + q["ball"][BI[JI[sh]]] += rng.normal(0, 0.7, 3) + q["hinge"][HI[JI[el]]] = np.clip(q["hinge"][HI[JI[el]]] + rng.normal(0, 0.8), -2.5, 0.0) + q["ball"][BI[JI[wr]]] = rng.normal(0, 0.3, 3) + else: # torso + head + for j in ("spine", "chest", "neck"): + q["ball"][BI[JI[j]]] += rng.normal(0, 0.2, 3) + return q + + +for a in ACTS: + t0 = time.time() + F, dto, bpx, bm, masks = prepare(a) + fit = single_fit_fn(a) + cur = {k: np.asarray(v) for k, v in base[a]["poses"].items()} + if os.environ.get("UO_CLAV") and "clav" not in cur: + cur["clav"] = np.zeros((cur["trans"].shape[0], 2, 3), np.float32) + poses = [] + for i in range(F): + c0 = {k: v[i] for k, v in cur.items()} + best = fit(c0, c0, dto[i], bpx[i], bm[i], iters=150) + starts = [twist_candidate(c0, t) for t in TWISTS] + [lean_candidate(c0, t) for t in LEANS] + [perturb(c0) for _ in range(NCAND)] + if i > 0: + starts.append({k: v for k, v in poses[-1].items()}) # continue from the improved previous frame + for st_ in starts: + p, l, lim = fit(st_, c0, dto[i], bpx[i], bm[i], iters=300) + if lim < 0.01 and l < best[1]: + best = (p, l, lim) + poses.append(best[0]) + batch = {k: np.stack([p[k] for p in poses]) for k in cur} + batch, _ = fit_action(a, batch, iters=200, lr=0.004, log=False) + r, lim = evaluate(a, batch, masks) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[a] = dict(poses=batch, iou=r, limits=lim) + pickle.dump(res, open(OUT, "wb")) + r0 = base[a]["iou"] + print(f"action {a:2d} worstIoU {r0[:,0].mean():.3f} -> {r[:,0].mean():.3f} min {r0[:,0].min():.3f} -> {r[:,0].min():.3f}" + f" max limit {lim.max():.4f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/posefit_seq.py b/third_party/UO_Model3D_v13/pipeline/posefit_seq.py new file mode 100644 index 0000000..1a99acf --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/posefit_seq.py @@ -0,0 +1,111 @@ +"""Sequential, identity-preserving pose fitting on the skinned mesh. + +For each action: start at the frame most similar to a trusted reference pose (stand / combat stance / previous +result), fit it, then walk frame by frame in both directions (each frame starts from its fitted neighbour), +finally refine all frames jointly with temporal smoothness. Limb identity is never swapped.""" +import sys, time, pickle, os +import numpy as np +import jax, jax.numpy as jnp, optax +from posefit_mesh import * + +OUT = sys.argv[sys.argv.index("--out") + 1] if "--out" in sys.argv else "posefit_seq.pkl" +ACTS = [int(a) for a in sys.argv[1:] if a.isdigit()] +anim = pickle.load(open("anim_fit.pkl", "rb")) +ref = pickle.load(open("refine_mesh.pkl", "rb")) +ridx = {s: i for i, s in enumerate(ref["samples"])} +res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + + +CUR = os.environ.get("UO_CURRENT") # e.g. final_poses.pkl: warm start from the previous iteration + + +def current(a): + if CUR: + return {k: np.asarray(v) for k, v in pickle.load(open(CUR, "rb"))[a]["poses"].items()} + F = anim[a]["poses"]["trans"].shape[0] + return {n: np.stack([ref["poses"][n][ridx[(a, i)]] if (a, i) in ridx else anim[a]["poses"][n][i] for i in range(F)]) + for n in ("ball", "hinge", "trans")} + + +REF_OF = {9: 7, 10: 7, 11: 7, 18: 7, 20: 7, 31: 7, 30: 7, 15: 7, 12: 8, 13: 8, 14: 8, 19: 8, + 24: 23, 25: 23, 26: 23, 27: 23, 28: 23, 29: 23} + + +REF_FILES = [f for f in ("posefit_A.pkl", "posefit_B.pkl", OUT) if f] + + +def ref_pose(a): + """Trusted start pose: the reference action's refitted result (any worker's file), else the stand.""" + src = REF_OF.get(a, 4 if a not in MOUNTED else 23) + for f in REF_FILES: + if os.path.exists(f): + r = pickle.load(open(f, "rb")) + if src in r and src != a: + return {k: v[0] for k, v in r[src]["poses"].items()}, src + c = current(4) + return {k: v[0] for k, v in c.items()}, 4 + + +def sil_sim(m1, m2): + return (m1 & m2).sum() / max((m1 | m2).sum(), 1) + + +def single_fit_fn(a): + mounted = jnp.asarray(a in MOUNTED) + + def loss(pp, nb, dto, bpx, bm, w_nb): + ins, cov = frame_terms(pp, dto, bpx, bm, mounted) + l = 4.0 * ins + cov + 200.0 * limit_penalty(pp) + 0.02 * natural_prior(pp) + l += w_nb * (jnp.sum((pp["ball"] - nb["ball"]) ** 2) + jnp.sum((pp["hinge"] - nb["hinge"]) ** 2) + + 20.0 * jnp.sum((pp["trans"] - nb["trans"]) ** 2)) + return l, (ins, cov) + vg = jax.jit(jax.value_and_grad(loss, has_aux=True)) + ev = jax.jit(loss) + + def fit(init, nb, dto, bpx, bm, iters=300, lr=0.02, w_nb=0.05): + opt = optax.adam(optax.exponential_decay(lr, iters, 0.3)) + pp = {k: jnp.asarray(v) for k, v in init.items()}; st = opt.init(pp) + nbj = {k: jnp.asarray(v) for k, v in nb.items()} + for _ in range(iters): + (l, _), g = vg(pp, nbj, dto, bpx, bm, w_nb) + up, st = opt.update(g, st, pp) + pp = optax.apply_updates(pp, up) + (l, (ins, cov)) = ev(pp, nbj, dto, bpx, bm, 0.0) + return {k: np.asarray(v) for k, v in pp.items()}, float(4.0 * ins + cov) + return fit + + +for a in ACTS: + t0 = time.time() + F, dto, bpx, bm, masks = prepare(a) + fit = single_fit_fn(a) + rp, src = ref_pose(a) + cur = current(a) + # start frame = the one whose sprites look most like the reference action's first frame + ref_masks = targets(src)[0][..., 3] > 127 + sims = [np.mean([sil_sim(masks[i, d], ref_masks[d]) for d in range(5)]) for i in range(F)] + s0 = int(np.argmax(sims)) + poses = [None] * F + # start frame: from the reference pose and from the previous fit (projected into the limits); keep the better + cands = [rp, {k: v[s0] for k, v in cur.items()}] + best = None + for c in cands: + p, l = fit(c, c, dto[s0], bpx[s0], bm[s0], iters=500, w_nb=0.0) + if best is None or l < best[1]: + best = (p, l) + poses[s0] = best[0] + order = list(range(s0 + 1, F)) + list(range(s0 - 1, -1, -1)) + for i in order: + nbi = i - 1 if i > s0 else i + 1 + p, l = fit(poses[nbi], poses[nbi], dto[i], bpx[i], bm[i]) + # fast motions: the neighbour can be far away -> also start from the earlier (L/R-verified) fit of this frame + p2, l2 = fit({k: v[i] for k, v in cur.items()}, poses[nbi], dto[i], bpx[i], bm[i]) + poses[i] = p if l <= l2 else p2 + batch = {k: np.stack([p[k] for p in poses]) for k in ("ball", "hinge", "trans")} + batch, _ = fit_action(a, batch, iters=250, lr=0.004, log=False) + r, lim = evaluate(a, batch, masks) + res = pickle.load(open(OUT, "rb")) if os.path.exists(OUT) else {} + res[a] = dict(poses=batch, iou=r, limits=lim, start=s0, ref=src) + pickle.dump(res, open(OUT, "wb")) + print(f"action {a:2d} start f{s0} (ref {src}) worstIoU mean {r[:,0].mean():.3f} min {r[:,0].min():.3f} " + f"meanIoU {r[:,1].mean():.3f} max limit pen {lim.max():.4f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/preview.py b/third_party/UO_Model3D_v13/pipeline/preview.py new file mode 100644 index 0000000..c744a65 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/preview.py @@ -0,0 +1,33 @@ +import bpy, numpy as np, math +from mathutils import Vector +def setup_scene(res=(360,560)): + sc=bpy.context.scene + sc.render.engine='CYCLES'; sc.cycles.samples=12; sc.cycles.device='CPU' + sc.render.resolution_x, sc.render.resolution_y = res + sc.render.film_transparent=False + w=bpy.data.worlds.new('W'); sc.world=w; w.use_nodes=True + w.node_tree.nodes['Background'].inputs[0].default_value=(0.18,0.19,0.22,1); w.node_tree.nodes['Background'].inputs[1].default_value=0.6 + for name,rot,en in (('Key',(50,0,-35),3.0),('Fill',(60,0,140),1.2)): + l=bpy.data.lights.new(name,'SUN'); l.energy=en + o=bpy.data.objects.new(name,l); o.rotation_euler=[math.radians(a) for a in rot]; sc.collection.objects.link(o) + cam=bpy.data.cameras.new('PrevCam'); cam.type='ORTHO'; cam.ortho_scale=2.1 + co=bpy.data.objects.new('PrevCam',cam); sc.collection.objects.link(co); sc.camera=co + return co +def render_views(path_prefix, center_z=0.95, yaws=(0,45,90,180), elev=8, dist=6): + co=bpy.context.scene.camera + out=[] + for y in yaws: + a=math.radians(y); e=math.radians(elev) + pos=Vector((dist*math.sin(a)*math.cos(e), -dist*math.cos(a)*math.cos(e), center_z+dist*math.sin(e))) + co.location=pos + d=(Vector((0,0,center_z))-pos); co.rotation_euler=d.to_track_quat('-Z','Y').to_euler() + p=f"{path_prefix}_{y}.png"; bpy.context.scene.render.filepath=p + bpy.ops.render.render(write_still=True); out.append(p) + return out +def montage(paths,out): + from PIL import Image + ims=[Image.open(p) for p in paths] + W=sum(i.width for i in ims); H=max(i.height for i in ims) + m=Image.new('RGB',(W,H)); x=0 + for i in ims: m.paste(i,(x,0)); x+=i.width + m.save(out) diff --git a/third_party/UO_Model3D_v13/pipeline/preview_fix.py b/third_party/UO_Model3D_v13/pipeline/preview_fix.py new file mode 100644 index 0000000..4f08b16 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/preview_fix.py @@ -0,0 +1,36 @@ +"""Before/after preview: sprite | v8 overlay | new overlay for one frame, 5 directions, with labels.""" +import sys, pickle, numpy as np, jax.numpy as jnp +from PIL import Image, ImageDraw +from posefit_mesh import * +from posefit_mesh import _posed_j +a, i, out = int(sys.argv[1]), int(sys.argv[2]), sys.argv[3] +A = pickle.load(open("final_poses_v8.pkl", "rb")); B = pickle.load(open(sys.argv[4], "rb")) +T = targets(a); m = T[..., 3] > 127; F = len(T) +hm = horse_masks(a, F) if a in HORSE_OF else np.zeros_like(m) +hid = hm & ~m +ys, xs = np.nonzero((m[i] | hm[i]).any(0)); y0, y1, x0, x1 = max(ys.min() - 3, 0), min(ys.max() + 4, 120), max(xs.min() - 3, 0), min(xs.max() + 4, 136) +def over(P): + X = _posed_j({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()}); row = []; ious = [] + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~hid[i, d] + img = np.full((120, 136, 3), 30.0); img[hm[i, d]] = (70, 55, 40) + img[mk & m[i, d]] = 200; img[m[i, d] & ~mk] = (230, 60, 60); img[mk & ~m[i, d]] = (70, 120, 255) + row.append(img[y0:y1, x0:x1]); ious.append((mk & m[i, d]).sum() / max((mk | m[i, d]).sum(), 1)) + return row, np.mean(ious) +spr = [] +for d in range(5): + s = T[i, d].astype(float); al = s[..., 3:4] / 255; bg = np.full((120, 136, 3), 30.0); bg[hm[i, d]] = (70, 55, 40) + spr.append((bg * (1 - al) + s[..., :3] * al)[y0:y1, x0:x1]) +ra, ia = over(A); rb, ib = over(B) +sep = np.full((y1 - y0, 2, 3), 90.0) +row = lambda L: np.concatenate(sum([[x, sep] for x in L], [])[:-1], 1) +rows = [row(spr), row(ra), row(rb)] +W_ = rows[0].shape[1]; hs = np.full((2, W_, 3), 90.0) +img = np.concatenate([rows[0], hs, rows[1], hs, rows[2]], 0).astype(np.uint8) +S_ = 4; im = Image.fromarray(img).resize((img.shape[1] * S_, img.shape[0] * S_), Image.NEAREST) +lab = Image.new("RGB", (im.width + 230, im.height), (30, 30, 30)); lab.paste(im, (230, 0)); dr = ImageDraw.Draw(lab) +h = (y1 - y0 + 2) * S_ +for k, t in enumerate(["oryginal UO", f"v8 IoU {ia:.3f}", f"nowe IoU {ib:.3f}"]): + dr.text((10, k * h + h // 2 - 6), t, fill=(235, 235, 235)) +dr.text((10, lab.height - 40), "szary = zgodne", fill=(200, 200, 200)); dr.text((10, lab.height - 26), "czerwony = tylko sprite", fill=(230, 90, 90)); dr.text((10, lab.height - 12), "niebieski = tylko model", fill=(110, 150, 255)) +lab.save(out) diff --git a/third_party/UO_Model3D_v13/pipeline/reeval.py b/third_party/UO_Model3D_v13/pipeline/reeval.py new file mode 100644 index 0000000..aa79f41 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/reeval.py @@ -0,0 +1,10 @@ +"""Re-evaluate pose files with the current UO_DELTA (true raster IoU) -> merged dict with fresh iou/limits.""" +import sys, pickle +from posefit_mesh import evaluate +out = {} +for f in sys.argv[1:-1]: + for a, r in pickle.load(open(f, "rb")).items(): + iou, lim = evaluate(a, r["poses"]) + out[a] = dict(r, iou=iou, limits=lim, src=f) + print(a, f, "%.3f %.3f" % (iou[:, 0].mean(), iou[:, 1].mean()), flush=True) +pickle.dump(out, open(sys.argv[-1], "wb")) diff --git a/third_party/UO_Model3D_v13/pipeline/refine_mesh.py b/third_party/UO_Model3D_v13/pipeline/refine_mesh.py new file mode 100644 index 0000000..dee8724 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/refine_mesh.py @@ -0,0 +1,207 @@ +"""Refine the rigged mesh against ALL sprite frames (2D contour ICP in 5 views per frame). + +Optimises symmetric per-vertex offsets of the rest mesh together with small per-frame pose corrections. +Losses per (frame, view): + inside : every projected vertex must lie inside the sprite silhouette (distance transform, bilinear) + cover : every sprite pixel must be near a projected vertex; uncovered pixels pull the nearest rim vertex + smooth : Laplacian of the offsets, pose-correction prior +""" +import pickle, time, sys +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.ndimage import distance_transform_edt, binary_erosion +from scipy.spatial import cKDTree +from body import * +from fit import params_to_shape, pose_from_params +from rig import bone_defs +from targets import targets + +ITERS = int(sys.argv[1]) if len(sys.argv) > 1 else 1500 +BATCH = 8 +EXCLUDE = set(range(23, 30)) # mounted: rider sprites have the horse cut out + +sf = pickle.load(open("shape_fit.pkl", "rb")) +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, {k: jnp.asarray(v) for k, v in sf["fixed"].items()}) +anim = pickle.load(open("anim_fit.pkl", "rb")) +md = pickle.load(open("mesh_data.pkl", "rb")) +V0 = jnp.asarray(md["v"], jnp.float32) +W = jnp.asarray(md["W"], jnp.float32) +tris = np.asarray(md["tris"]) +mirror = np.asarray(md["mirror"]) +NV = V0.shape[0] +P0, _ = fk(S, zero_pose()) +defs = bone_defs({k: np.asarray(v) for k, v in S.items()}, np.asarray(P0)) +joint_of = {d[0]: d[1] for d in defs} +BONE_JOINT = np.array([JI[joint_of[b]] for b in md["bones"]]) # in the weight-matrix column order + +# edges for the Laplacian +E = set() +for f in md["faces"]: + for a, b in zip(f, f[1:] + f[:1]): + E.add((min(a, b), max(a, b))) +E = np.array(sorted(E)) +deg = np.bincount(E.ravel(), minlength=NV).astype(np.float32) +EI, EJ = jnp.asarray(E[:, 0]), jnp.asarray(E[:, 1]) +DEG = jnp.asarray(np.maximum(deg, 1.0)) # loose vertices have no edges +MIR = jnp.asarray(mirror) +FLIP = jnp.array([-1.0, 1.0, 1.0]) + +# ---------------------------------------------------------------- samples +samples = [] # (action, frame) +for a in sorted(anim): + if a in EXCLUDE: + continue + for i in range(anim[a]["poses"]["trans"].shape[0]): + samples.append((a, i)) +NS = len(samples) +pose0 = {k: jnp.asarray(np.stack([anim[a]["poses"][k][i] for a, i in samples])) for k in ("ball", "hinge", "trans")} +print("frames", NS, "views", NS * 5, flush=True) +H, Wc = CANVAS_H, CANVAS_W +masks = np.zeros((NS, 5, H, Wc), bool) +cache_t = {} +for s, (a, i) in enumerate(samples): + if a not in cache_t: + cache_t[a] = targets(a) + masks[s] = cache_t[a][i][..., 3] > 127 +DTO = np.stack([[np.maximum(distance_transform_edt(~masks[s, d]) - 0.5, 0) for d in range(5)] for s in range(NS)]).astype(np.float32) +DTO = jnp.asarray(DTO) +CAM = [camera(S, d) for d in range(5)] +RIGHT = jnp.stack([c[0] for c in CAM]); UP = jnp.stack([c[1] for c in CAM]) +FWD = jnp.cross(RIGHT, UP) +SC = S["scale"] + + +def symmetric(delta): + return 0.5 * (delta + delta[MIR] * FLIP) + + +def posed_verts(delta, pp): + pose = pose_from_params(pp) + P, R = fk(S, pose) + Rb = R[BONE_JOINT] # (B,3,3) + tb = P[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + v = V0 + symmetric(delta) + X = jnp.einsum("bij,vj->vbi", Rb, v) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +PX_OFF = 0.5 # UO anchor sits on the pixel centre (measured: best alignment with +0.5 px in x) + + +def project(X): + x = ANCHOR_X + PX_OFF + SC * (X @ RIGHT.T) # (V,5) + y = ANCHOR_Y - SC * (X @ UP.T) + return jnp.stack([x, y], -1).transpose(1, 0, 2) # (5,V,2) + + +def bilinear(img, xy): + x = jnp.clip(xy[:, 0] - 0.5, 0, img.shape[1] - 1.001) + y = jnp.clip(xy[:, 1] - 0.5, 0, img.shape[0] - 1.001) + x0 = jnp.floor(x).astype(int); y0 = jnp.floor(y).astype(int) + fx, fy = x - x0, y - y0 + return (img[y0, x0] * (1 - fx) * (1 - fy) + img[y0, x0 + 1] * fx * (1 - fy) + + img[y0 + 1, x0] * (1 - fx) * fy + img[y0 + 1, x0 + 1] * fx * fy) + + +@jax.jit +def forward(delta, pp): + X = posed_verts(delta, pp) + return project(X), X + + +def sample_loss(delta, pp, pp0, dto, cv, ct, cm): + """dto (5,H,W); cv (5,K) vertex idx; ct (5,K,2) target px; cm (5,K) mask.""" + X = posed_verts(delta, pp) + p = project(X) + inside = sum(jnp.mean(bilinear(dto[d], p[d]) ** 2) for d in range(5)) + pc = jnp.take_along_axis(p, cv[..., None], axis=1) + cover = jnp.sum(cm * jnp.sum((pc - ct) ** 2, -1)) / (jnp.sum(cm) + 1.0) + prior = sum(jnp.sum((pp[k] - pp0[k]) ** 2) for k in ("ball", "hinge")) * 0.3 + jnp.sum((pp["trans"] - pp0["trans"]) ** 2) * 5.0 + return 4.0 * inside + cover + prior, (inside, cover) + + +def total_loss(params, idx, dto, cv, ct, cm): + delta = params["delta"] + pp = {k: params[k][idx] for k in ("ball", "hinge", "trans")} + p0 = {k: pose0[k][idx] for k in ("ball", "hinge", "trans")} + l, (ins, cov) = jax.vmap(lambda a, b, c, d, e, f: sample_loss(delta, a, b, c, d, e, f), + in_axes=({"ball": 0, "hinge": 0, "trans": 0}, {"ball": 0, "hinge": 0, "trans": 0}, 0, 0, 0, 0))(pp, p0, dto, cv, ct, cm) + d = symmetric(delta) + lap = d - (jax.ops.segment_sum(d[EJ], EI, NV) + jax.ops.segment_sum(d[EI], EJ, NV)) / DEG[:, None] + smooth = jnp.sum(lap ** 2) * 300.0 + jnp.sum(d ** 2) * 0.05 + return jnp.mean(l) + smooth, (jnp.mean(ins), jnp.mean(cov), smooth) + + +vg = jax.jit(jax.value_and_grad(total_loss, has_aux=True)) +K = 400 + + +def correspondences(p, X, s): + """For sample s: uncovered sprite pixels -> nearest rim vertex (per view).""" + cv = np.zeros((5, K), np.int32); ct = np.zeros((5, K, 2), np.float32); cm = np.zeros((5, K), np.float32) + Xn = np.asarray(X) + fn = np.cross(Xn[tris[:, 1]] - Xn[tris[:, 0]], Xn[tris[:, 2]] - Xn[tris[:, 0]]) + nrm = np.zeros_like(Xn) + for k in range(3): + np.add.at(nrm, tris[:, k], fn) + nrm /= np.maximum(np.linalg.norm(nrm, axis=1, keepdims=True), 1e-12) + for d in range(5): + pd = np.asarray(p[d]) + tree = cKDTree(pd) + ys, xs = np.nonzero(masks[s, d]) + pix = np.stack([xs + 0.5, ys + 0.5], 1) + dist, _ = tree.query(pix) + unc = pix[dist > 0.8] + if len(unc) == 0: + continue + rim = np.nonzero(np.abs(nrm @ np.asarray(FWD[d])) < 0.35)[0] + if len(rim) == 0: + continue + _, j = cKDTree(pd[rim]).query(unc) + n = min(len(unc), K) + sel = np.random.choice(len(unc), n, replace=False) if len(unc) > K else np.arange(n) + cv[d, :n] = rim[j[sel]]; ct[d, :n] = unc[sel]; cm[d, :n] = 1.0 + return cv, ct, cm + + +def iou_all(params, n=None): + res = [] + for s in range(NS if n is None else n): + pp = {k: params[k][s] for k in ("ball", "hinge", "trans")} + p, _ = forward(params["delta"], pp) + for d in range(5): + img = np.zeros((H, Wc), bool) + q = np.asarray(p[d]); xi = np.clip(q[:, 0].astype(int), 0, Wc - 1); yi = np.clip(q[:, 1].astype(int), 0, H - 1) + img[yi, xi] = True + from scipy.ndimage import binary_closing, binary_fill_holes + img = binary_fill_holes(binary_closing(img, iterations=1)) + m = masks[s, d] + res.append((img & m).sum() / max((img | m).sum(), 1)) + return float(np.mean(res)) + + +params = dict(delta=jnp.zeros((NV, 3), jnp.float32), **{k: pose0[k] for k in ("ball", "hinge", "trans")}) +opt = optax.adam(optax.exponential_decay(3e-3, ITERS, 0.2)) +st = opt.init(params) +print("IoU before (vertex splat, all frames):", round(iou_all(params), 4), flush=True) +rng = np.random.default_rng(0) +t0 = time.time() +for it in range(ITERS): + idx = rng.choice(NS, BATCH, replace=False) + cvs, cts, cms = [], [], [] + for s in idx: + pp = {k: params[k][s] for k in ("ball", "hinge", "trans")} + p, X = forward(params["delta"], pp) + cv, ct, cm = correspondences(p, X, s) + cvs.append(cv); cts.append(ct); cms.append(cm) + (l, aux), g = vg(params, jnp.asarray(idx), DTO[idx], jnp.asarray(np.stack(cvs)), jnp.asarray(np.stack(cts)), jnp.asarray(np.stack(cms))) + up, st = opt.update(g, st, params) + params = optax.apply_updates(params, up) + if it % 100 == 0 or it == ITERS - 1: + print(f"it {it} loss {float(l):.4f} inside {float(aux[0]):.4f} cover {float(aux[1]):.3f} smooth {float(aux[2]):.4f} " + f"max|d| {float(jnp.abs(symmetric(params['delta'])).max()):.3f} {time.time()-t0:.0f}s", flush=True) +print("IoU after (vertex splat, all frames):", round(iou_all(params), 4), flush=True) +out = dict(delta=np.asarray(symmetric(params["delta"])), samples=samples, + poses={k: np.asarray(params[k]) for k in ("ball", "hinge", "trans")}) +pickle.dump(out, open("refine_mesh.pkl", "wb")) +print("saved refine_mesh.pkl") diff --git a/third_party/UO_Model3D_v13/pipeline/refine_shape2.py b/third_party/UO_Model3D_v13/pipeline/refine_shape2.py new file mode 100644 index 0000000..dea6c79 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/refine_shape2.py @@ -0,0 +1,79 @@ +"""Shape refinement v2: symmetric per-vertex offsets of the rest mesh, poses FIXED to the plausible refit poses, +all 35 actions (mounted ones with the horse-aware masks). Differentiable inside + cover terms (no ICP).""" +import os, sys, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +os.environ.setdefault("UO_DELTA", "refine_mesh.pkl") +import posefit_mesh as PM +from posefit_mesh import prepare, pose_from_params, fk, S, W, P0, BONE_JOINT, project, bilinear, md + +ITERS = int(sys.argv[1]) if len(sys.argv) > 1 else 2000 +final = pickle.load(open("final_poses.pkl", "rb")) +base = jnp.asarray(md["v"], jnp.float32) +delta0 = jnp.asarray(pickle.load(open(os.environ["UO_DELTA"], "rb"))["delta"], jnp.float32) +mirror = jnp.asarray(md["mirror"]); FLIP = jnp.array([-1.0, 1.0, 1.0]) +E = set() +for f in md["faces"]: + for a, b in zip(f, f[1:] + f[:1]): + E.add((min(a, b), max(a, b))) +E = np.array(sorted(E)); NV = base.shape[0] +deg = jnp.asarray(np.maximum(np.bincount(E.ravel(), minlength=NV), 1).astype(np.float32)) +EI, EJ = jnp.asarray(E[:, 0]), jnp.asarray(E[:, 1]) + +samples, D, BP, BMK = [], [], [], [] +for a in range(35): + F, dto, bpx, bm, _ = prepare(a) + for i in range(F): + samples.append((a, i)); D.append(dto[i]); BP.append(bpx[i]); BMK.append(bm[i]) +D = jnp.stack(D); BP = jnp.stack(BP); BMK = jnp.stack(BMK) +POSE = {k: jnp.asarray(np.stack([final[a]["poses"][k][i] for a, i in samples])) for k in ("ball", "hinge", "trans")} +NS = len(samples) +print("frames", NS, flush=True) + + +def sym(d): + return 0.5 * (d + d[mirror] * FLIP) + + +def posed_with(pp, V): + pose = pose_from_params(pp) + P, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = P[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + X = jnp.einsum("bij,vj->vbi", Rb, V) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def frame_loss(delta, pp, dto, bpx, bm): + X = posed_with(pp, base + sym(delta)) + ins = 0.0; cov = 0.0 + for d in range(5): + p = project(X, d) + ins += jnp.mean(bilinear(dto[d], p) ** 2) + dist = jnp.sqrt(jnp.min(jnp.sum((bpx[d][:, None, :] - p[None, :, :]) ** 2, -1), 1) + 1e-9) + cov += jnp.sum(bm[d] * jax.nn.relu(dist - 0.7) ** 2) / (jnp.sum(bm[d]) + 1.0) + return ins, cov + + +def loss(delta, idx): + pp = {k: v[idx] for k, v in POSE.items()} + ins, cov = jax.vmap(lambda a, b, c, d: frame_loss(delta, a, b, c, d))(pp, D[idx], BP[idx], BMK[idx]) + d = sym(delta) + lap = d - (jax.ops.segment_sum(d[EJ], EI, NV) + jax.ops.segment_sum(d[EI], EJ, NV)) / deg[:, None] + reg = jnp.sum(lap ** 2) * 300.0 + jnp.sum(d ** 2) * 0.05 + return jnp.mean(4.0 * ins + cov) + reg, (jnp.mean(ins), jnp.mean(cov)) + + +vg = jax.jit(jax.value_and_grad(loss, has_aux=True)) +opt = optax.adam(optax.exponential_decay(2e-3, ITERS, 0.2)) +delta = delta0; st = opt.init(delta) +rng = np.random.default_rng(0); t0 = time.time() +for it in range(ITERS): + idx = jnp.asarray(rng.choice(NS, 8, replace=False)) + (l, aux), g = vg(delta, idx) + up, st = opt.update(g, st, delta) + delta = optax.apply_updates(delta, up) + if it % 250 == 0 or it == ITERS - 1: + print(f"it {it} loss {float(l):.3f} inside {float(aux[0]):.3f} cover {float(aux[1]):.3f} {time.time()-t0:.0f}s", flush=True) +pickle.dump(dict(delta=np.asarray(sym(delta))), open("refine_shape2.pkl", "wb")) +print("saved refine_shape2.pkl") diff --git a/third_party/UO_Model3D_v13/pipeline/refine_shape3.py b/third_party/UO_Model3D_v13/pipeline/refine_shape3.py new file mode 100644 index 0000000..99ca9e3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/refine_shape3.py @@ -0,0 +1,106 @@ +"""Shape refinement v3: symmetric per-vertex offsets of the rest mesh with the poses FIXED (v5), all 35 actions, +same data terms as the pose fit (lower body may hide behind the horse). Epoch-shuffled batches, small decaying lr.""" +import os, sys, time, pickle +import numpy as np +import jax, jax.numpy as jnp, optax +os.environ.setdefault("UO_DELTA", "refine_infl.pkl") +from posefit_mesh import prepare, pose_from_params, fk, S, W, P0, BONE_JOINT, project, bilinear, md, LEGV, MOUNTED + +ITERS = int(sys.argv[1]) if len(sys.argv) > 1 else 900 +POSES = os.environ.get("UO_POSES", "final_poses_v5.pkl") +OUTF = os.environ.get("UO_SHAPE_OUT", "refine_shape3.pkl") +final = pickle.load(open(POSES, "rb")) +base = jnp.asarray(md["v"], jnp.float32) +delta0 = jnp.asarray(pickle.load(open(os.environ["UO_DELTA"], "rb"))["delta"], jnp.float32) +mirror = jnp.asarray(md["mirror"]); FLIP = jnp.array([-1.0, 1.0, 1.0]) +E = set() +for f in md["faces"]: + for a, b in zip(f, f[1:] + f[:1]): + E.add((min(a, b), max(a, b))) +E = np.array(sorted(E)); NV = base.shape[0] +deg = jnp.asarray(np.maximum(np.bincount(E.ravel(), minlength=NV), 1).astype(np.float32)) +EI, EJ = jnp.asarray(E[:, 0]), jnp.asarray(E[:, 1]) + +samples, D, BP, BMK = [], [], [], [] +for a in range(35): + F, dto, bpx, bm, _ = prepare(a) + for i in range(F): + samples.append((a, i)); D.append(np.asarray(dto[i])); BP.append(np.asarray(bpx[i])); BMK.append(np.asarray(bm[i])) +D = jnp.asarray(np.stack(D)); BP = jnp.asarray(np.stack(BP)); BMK = jnp.asarray(np.stack(BMK)) +POSE = {k: jnp.asarray(np.stack([final[a]["poses"][k][i] for a, i in samples])) for k in ("ball", "hinge", "trans")} +NS = len(samples) +print("frames", NS, flush=True) + + +def sym(d): + return 0.5 * (d + d[mirror] * FLIP) + + +def posed_with(pp, V): + pose = pose_from_params(pp) + P, R = fk(S, pose) + Rb = R[BONE_JOINT] + tb = P[BONE_JOINT] - jnp.einsum("bij,bj->bi", Rb, P0[BONE_JOINT]) + X = jnp.einsum("bij,vj->vbi", Rb, V) + tb[None] + return jnp.einsum("vb,vbi->vi", W, X) + + +def frame_loss(delta, pp, dto, bpx, bm): + X = posed_with(pp, base + sym(delta)) + ins = 0.0; cov = 0.0 + for d in range(5): + p = project(X, d) + ins += jnp.mean(jnp.where(LEGV, bilinear(dto[d, 0], p), bilinear(dto[d, 1], p)) ** 2) + dist = jnp.sqrt(jnp.min(jnp.sum((bpx[d][:, None, :] - p[None, :, :]) ** 2, -1), 1) + 1e-9) + cov += jnp.sum(bm[d] * jax.nn.relu(dist - 0.7) ** 2) / (jnp.sum(bm[d]) + 1.0) + return ins, cov + + +def data_loss(delta, idx): + pp = {k: v[idx] for k, v in POSE.items()} + ins, cov = jax.vmap(lambda a, b, c, d: frame_loss(delta, a, b, c, d))(pp, D[idx], BP[idx], BMK[idx]) + return jnp.mean(4.0 * ins + cov), (jnp.mean(ins), jnp.mean(cov)) + + +def reg_loss(delta): + d = sym(delta) + lap = d - (jax.ops.segment_sum(d[EJ], EI, NV) + jax.ops.segment_sum(d[EI], EJ, NV)) / deg[:, None] + dd = d - delta0 + return jnp.sum(lap ** 2) * 300.0 + jnp.sum(dd ** 2) * 0.5 + + +def loss(delta, idx): + l, aux = data_loss(delta, idx) + return l + reg_loss(delta), aux + + +vg = jax.jit(jax.value_and_grad(loss, has_aux=True)) +dl = jax.jit(data_loss) + + +def full(delta): + tot = np.zeros(3); n = 0 + for s in range(0, NS, 30): + idx = jnp.arange(s, min(s + 30, NS)) + l, (i_, c_) = dl(delta, idx) + k = len(idx); tot += np.array([float(l), float(i_), float(c_)]) * k; n += k + return tot / n + + +BATCH = 30 +opt = optax.adam(optax.exponential_decay(4e-4, ITERS, 0.1)) +delta = delta0; st = opt.init(delta) +rng = np.random.default_rng(0); t0 = time.time() +print("start full data loss %.4f inside %.4f cover %.4f" % tuple(full(delta)), flush=True) +perm = [] +for it in range(ITERS): + if len(perm) < BATCH: + perm = list(rng.permutation(NS)) + idx = jnp.asarray(perm[:BATCH]); perm = perm[BATCH:] + (l, aux), g = vg(delta, idx) + up, st = opt.update(g, st, delta) + delta = optax.apply_updates(delta, up) + if (it + 1) % 150 == 0 or it == ITERS - 1: + print(f"it {it} full data loss %.4f inside %.4f cover %.4f {time.time()-t0:.0f}s" % tuple(full(delta)), flush=True) + pickle.dump(dict(delta=np.asarray(sym(delta))), open(OUTF, "wb")) +print("saved", OUTF) diff --git a/third_party/UO_Model3D_v13/pipeline/render3d_gif.py b/third_party/UO_Model3D_v13/pipeline/render3d_gif.py new file mode 100644 index 0000000..6b945b9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/render3d_gif.py @@ -0,0 +1,79 @@ +"""3D perspective preview GIFs of UO actions from a built .blend (textured body, floor, horse proxy for mounted). +usage: python render3d_gif.py --blend out_v9/UO_Body_0x190.blend --out gifs3d --actions 0,9,23 [--only-frame N]""" +import bpy, sys, os, math +import numpy as np +from mathutils import Vector +from PIL import Image, ImageDraw +arg = lambda k, d=None: sys.argv[sys.argv.index(k) + 1] if k in sys.argv else d +blend, out = arg("--blend"), os.path.abspath(arg("--out")) +ACTS = [int(x) for x in arg("--actions").split(",")] +ONLY = int(arg("--only-frame", "-1")) +os.makedirs(out, exist_ok=True) +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene +sc.render.engine = "CYCLES"; sc.cycles.samples = 16; sc.cycles.device = "CPU"; sc.cycles.use_denoising = True +sc.render.resolution_x, sc.render.resolution_y = 360, 420; sc.render.resolution_percentage = 100 +sc.render.film_transparent = False; sc.render.image_settings.file_format = "PNG" +sc.view_settings.view_transform = "Standard" +sc["uo_look"] = 0.0 # normal lighting (Principled BSDF + albedo texture) +rig = bpy.data.objects["UO_Rig"]; rig["uo_direction"] = 0 +if "Clothing" in bpy.data.collections: + for o in bpy.data.collections["Clothing"].all_objects: + o.hide_render = True +w = sc.world or bpy.data.worlds.new("W"); sc.world = w; w.use_nodes = True +w.node_tree.nodes["Background"].inputs[0].default_value = (0.32, 0.34, 0.38, 1); w.node_tree.nodes["Background"].inputs[1].default_value = 0.6 +sun = bpy.data.lights.new("PreviewSun", "SUN"); sun.energy = 3.0; so = bpy.data.objects.new("PreviewSun", sun) +so.rotation_euler = (math.radians(50), 0, math.radians(35)); sc.collection.objects.link(so) +me = bpy.data.meshes.new("Floor"); me.from_pydata([(-4, -4, 0), (4, -4, 0), (4, 4, 0), (-4, 4, 0)], [], [(0, 1, 2, 3)]) +fl = bpy.data.objects.new("Floor", me); sc.collection.objects.link(fl) +fm = bpy.data.materials.new("FloorMat"); fm.use_nodes = True +fb = fm.node_tree.nodes["Principled BSDF"]; fb.inputs["Base Color"].default_value = (0.22, 0.2, 0.18, 1) +fb.inputs["Roughness"].default_value = 1.0 +if "Specular IOR Level" in fb.inputs: + fb.inputs["Specular IOR Level"].default_value = 0.0 +me.materials.append(fm) +hm = bpy.data.materials.get("Horse_Proxy_Mat") +if hm: + hm.use_nodes = True + hm.node_tree.nodes["Principled BSDF"].inputs["Base Color"].default_value = (0.36, 0.24, 0.14, 1) + hm.node_tree.nodes["Principled BSDF"].inputs["Roughness"].default_value = 0.8 +horses = {o.name: o for o in bpy.data.objects if o.name.startswith("Horse_a")} +for o in horses.values(): + o.is_holdout = False; o.hide_render = True +cd = bpy.data.cameras.new("PreviewCam"); cd.lens = 50 +cam = bpy.data.objects.new("PreviewCam", cd); sc.collection.objects.link(cam); sc.camera = cam +lift = float(sc.get("uo_anchor_height", 0.0)) +acts = {int(a["uo_action"]): a for a in bpy.data.actions if "uo_action" in a} +for a in ACTS: + act = acts[a]; rig.animation_data.action = act; F = int(act["uo_frames"]) + mounted = 23 <= a <= 29 + tgt = Vector((0, 0.1 if mounted else 0, 1.25 if mounted else 0.95)); dist = 6.2 if mounted else 4.4 + yaw, el = math.radians(55 if mounted else 35), math.radians(14) + cam.location = tgt + Vector((math.sin(yaw) * math.cos(el), -math.cos(yaw) * math.cos(el), math.sin(el))) * dist + cam.rotation_euler = (tgt - cam.location).to_track_quat("-Z", "Y").to_euler() + cyc = a in (0, 1, 2, 3, 23, 24) + last = 3 * F if (cyc and F > 1) else 3 * (F - 1) + 1 + frames = [ONLY] if ONLY > 0 else list(range(1, last + 1)) if F > 1 else [1] * 24 + ims = [] + for k, f in enumerate(frames): + if F == 1 and ONLY <= 0: # single-frame action: turntable + yk = yaw + 2 * math.pi * k / len(frames) + cam.location = tgt + Vector((math.sin(yk) * math.cos(el), -math.cos(yk) * math.cos(el), math.sin(el))) * dist + cam.rotation_euler = (tgt - cam.location).to_track_quat("-Z", "Y").to_euler() + i = int(round((f - 1) / 3.0)) % F + for o in horses.values(): + o.hide_render = True + h = horses.get("Horse_a%d_f%d" % (a, i)) + if h: h.hide_render = False + sc.frame_set(f) + p = os.path.join(out, "_tmp.png"); sc.render.filepath = p; bpy.ops.render.render(write_still=True) + im = Image.open(p).convert("RGB"); d = ImageDraw.Draw(im) + d.text((8, 8), "%s UO %d/%d" % (act.name, i + 1, F), fill=(240, 240, 240)); ims.append(im) + name = os.path.join(out, "3d_%s.%s" % (act.name, "png" if ONLY > 0 else "gif")) + if F == 1 and ONLY <= 0: + ims[0].save(name, save_all=True, append_images=ims[1:], duration=120, loop=0) + elif ONLY > 0 or len(ims) == 1: + ims[0].save(name.replace(".gif", ".png")) + else: + ims[0].save(name, save_all=True, append_images=ims[1:], duration=42, loop=0) + print("saved", name, flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/render_body_vd.py b/third_party/UO_Model3D_v13/pipeline/render_body_vd.py new file mode 100644 index 0000000..a71227b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/render_body_vd.py @@ -0,0 +1,17 @@ +"""Render the BODY layer of a built .blend for all 35 UO actions x 5 directions and write it to a .vd file.""" +import bpy, sys, os +blend = sys.argv[sys.argv.index("--blend") + 1] +out = os.path.abspath(sys.argv[sys.argv.index("--out") + 1]) +samples = int(sys.argv[sys.argv.index("--samples") + 1]) if "--samples" in sys.argv else 32 +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene +sc.render.engine = "CYCLES"; sc.cycles.samples = samples; sc.cycles.device = "CPU" +src = bpy.data.texts["render_uo_layer.py"].as_string() +src = src.replace('LAYER = "clothing"', 'LAYER = "body"').replace('OUT_DIR = "//uo_render/"', 'OUT_DIR = %r' % (out + "/")) +src = src.replace('VD_FILE = "//uo_render/%s.vd"', 'VD_FILE = %r' % (out + "/%s.vd")) +layer = sys.argv[sys.argv.index("--layer") + 1] if "--layer" in sys.argv else "body" +src = src.replace('LAYER = "body"', 'LAYER = %r' % layer) +if "--pure" in sys.argv: + src = src.replace("EXACT_BODY = True", "EXACT_BODY = False") +assert "WRITE_VD = True" in src +exec(compile(src, "render_uo_layer.py", "exec")) diff --git a/third_party/UO_Model3D_v13/pipeline/render_check.py b/third_party/UO_Model3D_v13/pipeline/render_check.py new file mode 100644 index 0000000..4573b30 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/render_check.py @@ -0,0 +1,36 @@ +import bpy, sys, os, math, numpy as np +from mathutils import Vector +blend=sys.argv[sys.argv.index('--blend')+1]; out=sys.argv[sys.argv.index('--out')+1] +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc=bpy.context.scene +arm=bpy.data.objects['UO_Rig'] +act_name = sys.argv[sys.argv.index('--action')+1] if '--action' in sys.argv else None +frame = int(sys.argv[sys.argv.index('--frame')+1]) if '--frame' in sys.argv else 1 +if act_name: arm.animation_data.action=bpy.data.actions[act_name] +else: arm.animation_data.action=None +sc.frame_set(frame) +sc.render.engine='CYCLES'; sc.cycles.samples=16; sc.cycles.device='CPU' +# 1) turntable preview (perspective-free ortho, big) +cam=bpy.data.cameras.new('Prev'); cam.type='ORTHO'; cam.ortho_scale=2.2 +co=bpy.data.objects.new('Prev',cam); sc.collection.objects.link(co) +uo_cam=sc.camera +sc.camera=co; sc.render.resolution_x, sc.render.resolution_y=(380,560); sc.render.film_transparent=False +sc.render.filter_size=1.5 +paths=[] +for yaw in (0,45,90,180): + a=math.radians(yaw); e=math.radians(8); d=6 + pos=Vector((d*math.sin(a)*math.cos(e), -d*math.cos(a)*math.cos(e), 1.0+d*math.sin(e))) + co.location=pos; co.rotation_euler=(Vector((0,0,1.0))-pos).to_track_quat('-Z','Y').to_euler() + p=f"{out}_turn{yaw}.png"; sc.render.filepath=os.path.abspath(p); bpy.ops.render.render(write_still=True); paths.append(p) +from PIL import Image +ims=[Image.open(p).convert('RGB') for p in paths] +m=Image.new('RGB',(sum(i.width for i in ims),ims[0].height)); x=0 +for i in ims: m.paste(i,(x,0)); x+=i.width +m.save(out+'_turntable.png') +# 2) UO camera renders for 5 directions +sc.camera=uo_cam; sc.render.resolution_x, sc.render.resolution_y=(136,120); sc.render.film_transparent=True +sc.render.filter_size=0.5 +uo=[] +for d in range(5): + arm['uo_direction']=d; sc.frame_set(frame) + p=f"{out}_uo{d}.png"; sc.render.filepath=os.path.abspath(p); bpy.ops.render.render(write_still=True); uo.append(p) diff --git a/third_party/UO_Model3D_v13/pipeline/render_overlay.py b/third_party/UO_Model3D_v13/pipeline/render_overlay.py new file mode 100644 index 0000000..4934093 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/render_overlay.py @@ -0,0 +1,23 @@ +"""render_overlay.py action out.png : grey both, red sprite-only, blue render-only, brown = horse sprite""" +import sys, os, numpy as np +from PIL import Image +from targets import targets +from vd import ACTIONS_PEOPLE +root, a, out = sys.argv[1], int(sys.argv[2]), sys.argv[3] +T = targets(a); m = T[..., 3] > 127; F = len(T) +hm = None +if a >= 23 and a <= 29: + from posefit_mesh import horse_masks + hm = horse_masks(a, F) +name = f"{a:02d}_{ACTIONS_PEOPLE[a]}" +rows = [] +for i in range(F): + row = [] + for d in range(5): + r = np.array(Image.open(os.path.join(root, "frames", name, "dir%d" % d, "%02d.png" % i)))[..., 3] > 127 + img = np.full((120, 136, 3), 30, np.uint8) + if hm is not None: img[hm[i, d]] = (70, 55, 40) + img[r & m[i, d]] = 200; img[m[i, d] & ~r] = (230, 60, 60); img[r & ~m[i, d]] = (70, 120, 255) + row.append(img); row.append(np.full((120, 2, 3), 90, np.uint8)) + rows.append(np.concatenate(row[:-1], 1)) +im = Image.fromarray(np.concatenate(rows, 0)); im.resize((im.width * 2, im.height * 2), Image.NEAREST).save(out) diff --git a/third_party/UO_Model3D_v13/pipeline/render_uo_layer.py b/third_party/UO_Model3D_v13/pipeline/render_uo_layer.py new file mode 100644 index 0000000..dcbb4a0 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/render_uo_layer.py @@ -0,0 +1,823 @@ +# UO layer renderer: renders the body or the clothing layer through "UO_Camera" for every UO action, +# 5 directions and every frame, post-processes like UO art and writes PNGs (vdtool layout) and a .vd file. +# Run from Blender's Text Editor (Alt+P). Edit the settings below first. +# +# LAYER = "clothing" : objects in the "Clothing" collection; the body is a HOLDOUT (it hides what is behind it, +# but is not drawn itself) - exactly what an equipment layer in UO must contain. +# LAYER = "body" : only the body (clothing hidden). +# LAYER = "all" : body + clothing together (preview; not a UO layer). +# EXACT_BODY / EXACT_COLORS: use the original UO frames packed in this file (see README) for a pixel-exact body. +# In Blender's window the frames are rendered step by step (uo_job.py), so the window stays alive: progress in the status bar, +# ESC cancels. In background mode (blender -b, the bpy module) it is a plain loop; there create an empty file named STOP in the +# output folder (e.g. uo_render/clothing/STOP) or press Ctrl+C to cancel. Delete STOP before the next run. +# Several runs into the same OUT_DIR add up: e.g. render ONLY = [attacks] with one grip, then ONLY = [others] with +# another; each run writes a .vd with ALL actions rendered so far (delete OUT_DIR to start from scratch). +import bpy, os, json +import numpy as np +from mathutils import Vector +from mathutils.bvhtree import BVHTree + +LAYER = "clothing" +ONLY = [] # e.g. ["04_stand", "00_walk_unarmed"]; empty = all 35 UO actions +OUTLINE = 0.38 # dark 1-px outline like UO art (measured on the original body); 1.0 = off +OUT_DIR = "//uo_render/" # PNG output root (vdtool 'canvas' layout + meta.json) +WRITE_VD = True +VD_FILE = "//uo_render/%s.vd" # %s -> LAYER +STEP = 3 # scene frames between two UO frames +CANVAS = (256, 256) # render size in px (width, height); 36 px/m. The .vd stores every frame cropped to its content +ANCHOR = (128, 192) # UO anchor pixel inside the canvas (world point 0, 0, scene["uo_anchor_height"]). + # 256x256 / (128, 192) holds 444 of the 449 people / equipment animations of the Nelderim client + # (the original body frames are 136x120 with anchor (68, 86); use that pair for the old size) +CLOTHING = "Clothing" # collection with the clothing / equipment meshes +HORSE_HOLDOUT = True # mounted actions: the horse hides what is behind it, clipped to the exact horse sprite +EXACT_COLORS = True # body in the UO look: colours projected from the original UO frames packed in the file +EXACT_BODY = True # body = original UO frames: the "body" layer reproduces the original exactly, and in + # the "clothing" layer the body hides items exactly along the ORIGINAL outline + # (the 3D model only decides what is in front / behind). Turn off for a modified body. +HOLDOUT_MARGIN = 0.01 # m: in the clothing layer the body hides an item only where it is at least this much in + # front of it, so skin poking a few mm through tight armour does not cut holes + # (1 px = 2.8 cm). 0 = plain Cycles holdout (renders every frame twice). +OCCLUDERS = ["head", "upper_arm", "forearm", "hand", "thigh", "shin", "foot"] # body parts that may hide items + # (with HOLDOUT_MARGIN > 0); the torso (pelvis, spine, chest, neck) never does, because + # items are worn over it and a torso poking through is a model error, not an occluder +OWN_PARTS_NEVER_HIDE = True # body parts an item is skinned to (a legs item: thighs, shins, pelvis) never hide it: the item + # wraps them, so their skin in front of the item shell is the item's own edge, not an occluder + # (it cut 1-px strips off the sides of trousers). False = every OCCLUDERS part may hide it +TORSO_HIDE_MARGIN = 0.12 # m: the torso (pelvis, spine, chest, neck, clavicle) hides an item only where the item is at least this + # much behind it: a cloak hangs behind the body, so the chest must hide it; shells worn over the + # torso (up to ~3 cm thick) are never hidden. 0 = the torso never hides anything. + # Only when a cloak (cloth chains "cloak_*") is worn: UO draws other items over the torso even where + # they are behind it (a sleeve of an arm behind the chest), and hiding them cost 0.02-0.07 IoU +DESPECKLE = 28 # clothing: single dark pixels inside the item darker than their neighbours by more + # than this (0-255) take the colour around them - deep sculpt details / rivets that + # turn into black dots at UO size. 0 = off +FILL_HOLES = 4 # px: holes INSIDE an item (fully surrounded by it) up to this size are filled - skin + # poking through or a gap in the item mesh, not a real occluder. 0 = off +BODY_GAP = 0.006 # m: every frame, parts of the bound items closer than this to the arms, hands, legs or + # head of the posed body are pushed out (smoothly) before rendering - otherwise a forearm + # poking through a sleeve in motion cuts a hole in the item. Cloth-baked frames have their + # own fix (uo_cloth_bake FIX_GAP). 0 = off +MIN_PIECE = 8 # px: detached bits of the item smaller than this are removed (collar or cuff rims cut + # off by the head or a hand read as dirt at UO size); the biggest piece always stays. 0 = off + + +OW, OH, OANCHOR = 136, 120, (68, 86) # size and anchor of the ORIGINAL UO body frames (atlas, horse masks) +W, H = CANVAS +DX, DY = ANCHOR[0] - OANCHOR[0], ANCHOR[1] - OANCHOR[1] # where the original frames sit inside the canvas + +sc = bpy.context.scene +rig = bpy.data.objects["UO_Rig"] +body = bpy.data.objects["UO_Body"] +clothes = [o for o in bpy.data.collections[CLOTHING].all_objects if o.type == "MESH"] if CLOTHING in bpy.data.collections else [] + +# items baked by uo_cloth_bake.py: their cloth simulation replaces the bound pose in the actions it covers +CLOTH = {} +for o in clothes: + if o.get("uo_cloth"): + p = bpy.path.abspath(o["uo_cloth"]) + base = o.data.shape_keys.key_blocks[0].data if o.data.shape_keys else o.data.vertices + co = np.empty(len(o.data.vertices) * 3, np.float32); base.foreach_get("co", co) + sig = np.array([len(o.data.vertices), float(np.abs(co.astype(np.float64)).sum())]) + d = np.load(p) if os.path.exists(p) else None + if d is not None and "item_sig" in d.files and np.allclose(d["item_sig"], sig, rtol=1e-5): + CLOTH[o.name] = {k: d[k] for k in d.files} + print("render_uo_layer: %s uses its cloth bake %s" % (o.name, p)) + elif d is not None: + print("render_uo_layer: %s changed after its cloth bake - rendered as bound (bake it again)" % o.name) + else: + print("render_uo_layer: cloth bake of %s not found (%s) - rendered as bound" % (o.name, p)) + + +def cloth_show(o, a, i): + """baked cloth shape of UO action a, frame i on item o (shape key 'uo_cloth', Armature off); else the bound item""" + c = CLOTH.get(o.name) + arm = [m for m in o.modifiers if m.type == "ARMATURE"] + key = o.data.shape_keys.key_blocks.get("uo_cloth") if o.data.shape_keys else None + if c is None or ("a%d_f%d" % (a, i)) not in c: + for m in arm: + m.show_viewport = m.show_render = True + if key: + key.value = 0.0 + return + co = c["a%d_f%d" % (a, i)].astype(np.float64); tris, fi = c["tris"], c["fi"] + A, B, C = co[tris[:, 0]], co[tris[:, 1]], co[tris[:, 2]] + e1 = B - A; e1 /= np.maximum(np.linalg.norm(e1, axis=1, keepdims=True), 1e-12) + n = np.cross(B - A, C - A); n /= np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + fr = np.stack([e1, np.cross(n, e1), n], 1)[fi] + pos = (co[tris[fi]] * c["bc"][..., None]).sum(1) + np.einsum("nk,nkj->nj", c["off"], fr) + if "fix_node" in c and ("d%d_f%d_i" % (a, i)) in c: # pushed out of the real body after the simulation + Dn = np.zeros((int(c["fix_node"].max()) + 1, 3)); Dn[c["d%d_f%d_i" % (a, i)]] = c["d%d_f%d_v" % (a, i)] + pos += Dn[c["fix_node"]] + if key is None: + if o.data.shape_keys is None: + o.shape_key_add(name="Basis", from_mix=False) + key = o.shape_key_add(name="uo_cloth", from_mix=False) + key.data.foreach_set("co", pos.astype(np.float32).ravel()); key.value = 1.0 + for m in arm: + m.show_viewport = m.show_render = False + o.data.update() + + +# BODY_GAP: bound items pushed out of the posed limbs / head, per UO frame (shape key "uo_fix", Armature off) +FIX_MESH, FIX_CACHE, FIX_ON, FIX_ADDED = {}, {}, {}, set() + + +def fix_mesh(o): + """welded nodes (UV-seam splits move together, so a fix never tears the item open), their edges and degrees""" + if o.name not in FIX_MESH: + co = np.empty(len(o.data.vertices) * 3, np.float32); o.data.vertices.foreach_get("co", co) + key = np.round(co.reshape(-1, 3).astype(np.float64) / 1e-5).astype(np.int64) + _, first, node = np.unique(key, axis=0, return_index=True, return_inverse=True); node = node.ravel() + E = np.empty(len(o.data.edges) * 2, np.int32); o.data.edges.foreach_get("vertices", E) + E = np.unique(np.sort(node[E.reshape(-1, 2)], 1), axis=0); E = E[E[:, 0] != E[:, 1]] + FIX_MESH[o.name] = (first, node, E, np.bincount(E.ravel(), minlength=len(first)).astype(float)) + return FIX_MESH[o.name] + + +def push_out(X, bvh, E, deg, gap): + """displacement that keeps the points X (body space) `gap` outside the body parts in bvh; spread over the item""" + D = np.zeros_like(X); look = np.arange(len(X)); reach = 0.1 + for it in range(12): + P = X + D; need = np.zeros(len(X)); N = np.zeros_like(X); near = [] + for i in look: + p = Vector(P[i]); loc, nrm, fi, dist = bvh.find_nearest(p, reach) + if loc is not None: + near.append(i); sd = (p - loc).dot(nrm) + if sd < gap: + need[i] = gap - sd; N[i] = nrm + if it == 0: + look = np.array(near, int); reach = gap + 0.05 + if not (need > 1e-4).any(): + break + D += need[:, None] * N + if it < 11: + for _ in range(2): + acc = np.zeros_like(D) + np.add.at(acc, E[:, 0], D[E[:, 1]]); np.add.at(acc, E[:, 1], D[E[:, 0]]) + D = np.where(deg[:, None] > 0, 0.5 * D + 0.5 * acc / np.maximum(deg, 1)[:, None], D) + look = np.union1d(look, np.nonzero(np.abs(D).max(1) > 1e-5)[0]) + return D + + +def fix_off(o): + st = FIX_ON.pop(o.name, None) + if st is None: + return + kb = o.data.shape_keys.key_blocks + kb["uo_fix"].value = 0.0 + for name, mute in st["mute"].items(): + kb[name].mute = mute + for m, (v, r) in st["arm"]: + m.show_viewport, m.show_render = v, r + o.data.update() + + +def fix_on(o, pos): + if o.data.shape_keys is None: + o.shape_key_add(name="Basis", from_mix=False); FIX_ADDED.add(o.name) + kb = o.data.shape_keys.key_blocks + key = kb.get("uo_fix") or o.shape_key_add(name="uo_fix", from_mix=False) + key.data.foreach_set("co", pos.astype(np.float32).ravel()); key.value = 1.0 + others = [k for k in list(kb)[1:] if k.name != "uo_fix"] + arm = [m for m in o.modifiers if m.type == "ARMATURE"] + FIX_ON[o.name] = dict(mute={k.name: k.mute for k in others}, arm=[(m, (m.show_viewport, m.show_render)) for m in arm]) + for k in others: + k.mute = True # the posed shape already contains them + for m in arm: + m.show_viewport = m.show_render = False + o.data.update() + + +def evaluated_co(ob, dg): + ev = ob.evaluated_get(dg); me = ev.to_mesh() + co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co) + return ev, me, co.reshape(-1, 3).astype(np.float64) + + +def body_fix(a, i): + """BODY_GAP for UO frame i of action a: the pose does not depend on the direction, so each frame is solved once""" + items = [o for o in clothes if not o.hide_render and not (o.name in CLOTH and ("a%d_f%d" % (a, i)) in CLOTH[o.name])] + for o in items: + fix_off(o) + if not items: + return + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get() + todo = [o for o in items if (o.name, a, i) not in FIX_CACHE] + if todo: + eb, me, bco = evaluated_co(body, dg) + me.calc_loop_triangles() + tri = np.empty(len(me.loop_triangles) * 3, np.int32); me.loop_triangles.foreach_get("vertices", tri) + tri = tri.reshape(-1, 3); Bi = np.array(eb.matrix_world.inverted()); eb.to_mesh_clear() + if len(OCCLUDER_TRIS) == len(tri): + tri = tri[OCCLUDER_TRIS] # arms, hands, legs, head: the parts that cut holes + bvh = BVHTree.FromPolygons([Vector(p) for p in bco], tri.tolist()) + for o in items: + first, node, E, deg = fix_mesh(o) + ev, me, co = evaluated_co(o, dg); Mw = np.array(ev.matrix_world); ev.to_mesh_clear() + if len(co) != len(node): + FIX_CACHE[(o.name, a, i)] = None # a modifier changes the vertex count: left as bound + continue + if (o.name, a, i) not in FIX_CACHE: + M = Bi @ Mw + D = push_out(co[first] @ M[:3, :3].T + M[:3, 3], bvh, E, deg, BODY_GAP) @ np.linalg.inv(M[:3, :3]).T + idx = np.nonzero(np.abs(D).max(1) > 2e-4)[0] + FIX_CACHE[(o.name, a, i)] = (idx.astype(np.int32), D[idx].astype(np.float32)) if len(idx) else None + c = FIX_CACHE[(o.name, a, i)] + if c is not None: + Dn = np.zeros((len(first), 3)); Dn[c[0]] = c[1] + fix_on(o, co + Dn[node]) + + +def fix_clear(): + for o in clothes: + fix_off(o) + sk = o.data.shape_keys + if sk and "uo_fix" in sk.key_blocks: + o.shape_key_remove(sk.key_blocks["uo_fix"]) + if o.name in FIX_ADDED and o.data.shape_keys and len(o.data.shape_keys.key_blocks) == 1: + o.shape_key_clear() + + + +for o in clothes: # left over from a run that crashed: back to the bound item + if o.data.shape_keys and "uo_fix" in o.data.shape_keys.key_blocks: + o.shape_key_remove(o.data.shape_keys.key_blocks["uo_fix"]) + for m in o.modifiers: + if m.type == "ARMATURE": + m.show_viewport = m.show_render = True +writer = bpy.data.texts["uo_vd_writer.py"].as_module() + +if sc.render.engine != "CYCLES": # holdout, exact modes and UO shading are set up for Cycles + print("render_uo_layer: render engine %s -> CYCLES" % sc.render.engine) + sc.render.engine = "CYCLES" +if not bpy.context.preferences.filepaths.use_scripts_auto_execute: + print("render_uo_layer: NOTE - 'Auto Run Python Scripts' is off; if the body looks wrong, enable it " + "(Preferences > Save & Load) and reopen the file") +sc.camera = bpy.data.objects["UO_Camera"] +sc.render.resolution_x, sc.render.resolution_y = W, H +sc.render.resolution_percentage = 100 +sc.cycles.device = "CPU" # 1 sample on a 256x256 frame: a GPU only adds device start-up / kernel loading to every one of the + # thousands of render calls (slow, and the window looks frozen); the CPU is faster here +sc.render.dither_intensity = 0.0 # Blender's 8-bit dither is +-1 noise that depends on the pixel position: it would change + # with the canvas / anchor and spoil the "exact" colours of EXACT_COLORS + + +def to_canvas(a, fill=0): + """array of an original 120x136 frame -> CANVAS size, the anchors aligned (identity for 136x120 / (68, 86))""" + out = np.full((H, W) + a.shape[2:], fill, a.dtype) + y0, y1, x0, x1 = max(DY, 0), min(DY + OH, H), max(DX, 0), min(DX + OW, W) + if y1 > y0 and x1 > x0: + out[y0:y1, x0:x1] = a[y0 - DY:y1 - DY, x0 - DX:x1 - DX] + return out + + +def anchor_px(): + """continuous pixel position of the world anchor point in the CANVAS render (pixel i covers [i, i+1))""" + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + P = np.array(cam.calc_matrix_camera(dg, x=W, y=H)) @ np.array(cam.matrix_world.inverted()) @ \ + np.array([0.0, 0.0, sc.get("uo_anchor_height", 0.07), 1.0]) + return np.array([(P[0] / P[3] + 1) * 0.5 * W, (1 - P[1] / P[3]) * 0.5 * H]) + + +def place_camera(): + """UO_Camera for CANVAS: 36 px/m and the anchor point on ANCHOR (the original frames put it at scene uo_anchor_px = + (68.5, 86.0), i.e. in the middle of pixel column 68, on the top edge of row 86). Returns the old settings.""" + cd = sc.camera.data + old = (cd.sensor_fit, cd.ortho_scale, cd.shift_x, cd.shift_y) + cd.sensor_fit = "HORIZONTAL" + cd.ortho_scale = W / sc.get("uo_px_per_m", 36.0) + cd.shift_x = cd.shift_y = 0.0 + p0 = anchor_px(); cd.shift_x = cd.shift_y = 0.01; p1 = anchor_px() + k = (p1 - p0) / 0.01 # px per unit of shift (x and y are independent) + off = np.array(sc.get("uo_anchor_px", (OANCHOR[0] + 0.5, OANCHOR[1] + 0.0))) - np.array(OANCHOR) + want = np.array(ANCHOR, float) + off + sh = (want - p0) / k + cd.shift_x, cd.shift_y = [0.0 if abs(s * kk) < 1e-3 else float(s) for s, kk in zip(sh, k)] # the 136x120 frame: exactly the file's camera + err = np.abs(anchor_px() - want).max() + if err > 1e-3: + raise RuntimeError("render_uo_layer: camera does not put the anchor on %s (off by %.4f px)" % (ANCHOR, err)) + return old + + +def atlas_map(w, h, dx, dy): + """The body material (UO_Skin, nodes UOX_*) reads the atlas of original frames with the window coordinates of the 136x120 + frame. Two Math nodes (UOC_x, UOC_y) turn the window coordinates of a w x h canvas into those of the original frame, + which sits at offset (dx, dy) in it. Identity for 136x120 / (68, 86).""" + for m in bpy.data.materials: + nt = m.node_tree + if not nt or "UOX_sep" not in nt.nodes: + continue + for name, src, dst, dst_in, mul, add in ( + ("UOC_x", "X", "UOX_u0", 1, w / OW, -dx / OW), + ("UOC_y", "Y", "UOX_v0", 0, h / OH, 1 - h / OH + dy / OH)): + n = nt.nodes.get(name) + if n is None: + n = nt.nodes.new("ShaderNodeMath"); n.name = n.label = name; n.operation = "MULTIPLY_ADD" + n.location = (nt.nodes[dst].location.x - 200, nt.nodes[dst].location.y + 120) + nt.links.new(nt.nodes["UOX_sep"].outputs[src], n.inputs[0]) + nt.links.new(n.outputs[0], nt.nodes[dst].inputs[dst_in]) + n.inputs[1].default_value, n.inputs[2].default_value = mul, add + + +cam_state = place_camera() +atlas_map(W, H, DX, DY) +sc.render.film_transparent = True +sc.render.image_settings.file_format = "PNG" +sc.render.image_settings.color_mode = "RGBA" +sc.view_settings.view_transform = "Standard" +sc["uo_look"] = 1.0 # UO lighting (see node group "UO_Look") +sc["uo_exact"] = 1.0 if (EXACT_COLORS and "UO_Original_Atlas" in bpy.data.images) else 0.0 # no atlas -> model colours +EXACT_ANY = EXACT_COLORS or EXACT_BODY +if EXACT_ANY and sc.render.engine == "CYCLES": + sc.cycles.pixel_filter_type = "BOX" # one sample point per pixel centre, like the UO art (no blur) + sc.cycles.filter_width = 0.01 + sc.cycles.use_denoising = False + sc.cycles.samples = 1 # 1 sample = exactly the pixel centre (the UO shading is noise-free) +ORIG = {} +if EXACT_ANY and "uo_original_frames.json" in bpy.data.texts: + import base64, zlib + ORIG = json.loads(bpy.data.texts["uo_original_frames.json"].as_string()) + + +def original(a, i, d): + """original UO body frame (uint8 RGBA, CANVAS size, anchor aligned) or None""" + v = ORIG.get("frames", {}).get("%d,%d,%d" % (a, i, d)) if ORIG else None + if v is None: + return None + return to_canvas(np.frombuffer(zlib.decompress(base64.b64decode(v)), np.uint8).reshape(OH, OW, 4)) + + +def set_tile(a, i, d): + t = ORIG.get("tiles", {}).get("%d,%d,%d" % (a, i, d)) if ORIG else None + sc["uo_tile_col"], sc["uo_tile_row"] = (t if t else (0, 0)) + +horses = {o.name: o for o in bpy.data.objects if o.name.startswith("Horse_")} +for o in horses.values(): + o.hide_render = True + o.is_holdout = True + + +HORSE_MASKS = {} # exact horse sprite silhouettes: only there can the horse hide anything +if "uo_horse_masks.json" in bpy.data.texts: + import base64, zlib + for k, v in json.loads(bpy.data.texts["uo_horse_masks.json"].as_string())["masks"].items(): + bits = np.unpackbits(np.frombuffer(zlib.decompress(base64.b64decode(v)), np.uint8))[:OH * OW] + HORSE_MASKS[tuple(int(x) for x in k.split(","))] = to_canvas(bits.reshape(OH, OW).astype(bool), False) + + +def set_horse(a, i): + for o in horses.values(): + o.hide_render = True + o = horses.get("Horse_a%d_f%d" % (a, i)) if HORSE_HOLDOUT else None + if o is not None: # the horse proxy made for exactly this mounted frame + o.hide_render = False + + +state = dict(holdout=body.is_holdout, body_hide=body.hide_render, cloth={o.name: o.hide_render for o in clothes}, + action=rig.animation_data.action, direction=rig.get("uo_direction", 0), pose=rig.data.pose_position) +rig.data.pose_position = "POSE" # the actions only play in Pose Position +body.hide_render = False +body.is_holdout = LAYER == "clothing" +for o in clothes: + o.hide_render = LAYER == "body" +if LAYER == "clothing" and not any(not o.hide_render for o in clothes): + raise RuntimeError("No visible meshes in the 'Clothing' collection") + + +def uo_post(px, keep=None): + """float RGBA (h,w,4), straight alpha -> UO look: over black, 1-bit alpha, dark outline. Returns uint8 RGBA. + keep: pixels that already carry original UO colours (no extra outline).""" + a = px[..., 3:4] + rgb = px[..., :3] * a + m = px[..., 3] >= 0.5 + inner = m.copy() + inner[1:] &= m[:-1]; inner[:-1] &= m[1:]; inner[:, 1:] &= m[:, :-1]; inner[:, :-1] &= m[:, 1:] + edge = m & ~inner + if keep is not None: + edge &= ~keep + rgb[keep & m] = px[..., :3][keep & m] + rgb[edge] *= OUTLINE + out = np.zeros(px.shape, np.uint8) + out[..., :3] = np.clip(rgb * 255 + 0.5, 0, 255).astype(np.uint8) + out[..., 3] = m * 255 + out[~m, :3] = 0 + return out + + +def render_px(): + sc.render.filepath = tmp + bpy.ops.render.render(write_still=True) + im = bpy.data.images.load(tmp) + w, h = im.size + px = np.empty(w * h * 4, np.float32); im.pixels.foreach_get(px) + bpy.data.images.remove(im) + return px.reshape(h, w, 4)[::-1] # Blender pixels start at the bottom row + + +def body_part_mask(parts): + """body triangles (loop_triangles order) whose dominant bone is one of `parts` (names without .L / .R)""" + me = body.data + sub = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} # v13 extra bones + names = [g.name.split(".")[0] for g in body.vertex_groups] + names = ["hand" if n.startswith("finger") else sub.get(n, n) for n in names] + W = np.zeros((len(me.vertices), len(names))) + for v in me.vertices: + for g in v.groups: + W[v.index, g.group] = g.weight + me.calc_loop_triangles() + tri = np.array([t.vertices[:] for t in me.loop_triangles]) + dom = W[tri].sum(1).argmax(1) + return np.array([names[k] in parts for k in dom]) + + +def worn_parts(share=0.04): + """body parts (names without .L / .R) the visible items are skinned to: an item wraps them, so they never hide it. + A part counts when it carries at least `share` of an item's total skin weight. Rigid items (one bone: weapons, shields, + quivers) wrap nothing, except on the head (hair, hats), which they sit on.""" + sub = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} + out = set() + for o in clothes: + if o.hide_render or not o.vertex_groups: + continue + names = [g.name.split(".")[0] for g in o.vertex_groups] + names = ["hand" if n.startswith("finger") else sub.get(n, n) for n in names] + tot = {} + for v in o.data.vertices: + for g in v.groups: + tot[names[g.group]] = tot.get(names[g.group], 0.0) + g.weight + if len(o.vertex_groups) == 1: + out |= {p for p in tot if p == "head"} + continue + s = sum(tot.values()) + out |= {p for p, w in tot.items() if s > 0 and w / s >= share} + return out + + +WORN = worn_parts() if (LAYER == "clothing" and OWN_PARTS_NEVER_HIDE) else set() +OCCLUDER_TRIS = body_part_mask(set(OCCLUDERS)) # parts BODY_GAP keeps the items away from +HIDER_TRIS = body_part_mask(set(OCCLUDERS) - WORN) # parts that may hide an item in the holdout +CLOAK_WORN = any(g.name.startswith("cloak_") for o in clothes if not o.hide_render for g in o.vertex_groups) +TORSO_TRIS = body_part_mask({"pelvis", "spine", "chest", "neck", "clavicle"}) if (TORSO_HIDE_MARGIN > 0 and CLOAK_WORN and LAYER == "clothing") else None +print("render_uo_layer: items wrap %s; body parts that may hide them: %s" % (sorted(WORN), sorted(set(OCCLUDERS) - WORN))) + + +def raster(objs, tri_mask=None): + """pixel coverage and camera depth (m) of the deformed meshes through UO_Camera, pixel-centre rule (like the + EXACT render). Returns (bool H x W, float H x W with inf where nothing is). tri_mask: triangles to use.""" + rig.update_tag(); body.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get() + cam = sc.camera.evaluated_get(dg) + Pm = np.array(cam.calc_matrix_camera(dg, x=W, y=H)); Vm = np.array(cam.matrix_world.inverted()) + img = np.zeros((H, W), bool); depth = np.full((H, W), np.inf) + for ob in objs: + ev = ob.evaluated_get(dg); me = ev.to_mesh() + co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co); co = co.reshape(-1, 3) + me.calc_loop_triangles() + tri = np.empty(len(me.loop_triangles) * 3, np.int32); me.loop_triangles.foreach_get("vertices", tri); tri = tri.reshape(-1, 3) + if tri_mask is not None and len(tri_mask) == len(tri): + tri = tri[tri_mask] + Mw = np.array(ev.matrix_world) + ev.to_mesh_clear() + hv = np.c_[co, np.ones(len(co))] @ (Vm @ Mw).T # camera space + h = hv @ Pm.T + ndc = h[:, :2] / h[:, 3:4] + P = np.stack([(ndc[:, 0] + 1) * 0.5 * W, (1 - ndc[:, 1]) * 0.5 * H], 1)[tri] + Z = -hv[:, 2][tri] + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + A, B, C = P[:, 0], P[:, 1], P[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + for dy in range(int(size[:, 1].max(initial=0)) + 1): + for dx in range(int(size[:, 0].max(initial=0)) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px_ = mn[t, 0] + dx; py_ = mn[t, 1] + dy; cx, cy = px_ + 0.5, py_ + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px_ >= 0) & (py_ >= 0) & (px_ < W) & (py_ < H) + img[py_[k], px_[k]] = True + z = l0[k] * Z[t[k], 0] + l1[k] * Z[t[k], 1] + (1 - l0[k] - l1[k]) * Z[t[k], 2] + np.minimum.at(depth, (py_[k], px_[k]), z) + return img, depth + + +def body_coverage(): + """pixels covered by the (deformed) body mesh through UO_Camera, pixel-centre rule (like the EXACT render)""" + return raster([body])[0] + + +def body_occlusion(free, margin): + """the clothing render without the body, with the body in front of the item removed. The body hides a pixel only + where it is more than `margin` in front of the visible item surface. Returns (hold, body coverage).""" + cov, _ = raster([body]) + occ, zb = raster([body], HIDER_TRIS) # only the parts that may hide items (not the torso) + _, zi = raster([o for o in clothes if not o.hide_render]) + seen = free[..., 3] >= 0.5 + for _ in range(2): # item pixels Cycles drew but the raster missed: neighbour depth + miss = seen & np.isinf(zi) + if not miss.any(): + break + pad = np.pad(zi, 1, constant_values=np.inf) + nb = np.min([pad[y:y + H, x:x + W] for y in range(3) for x in range(3)], axis=0) + zi = np.where(miss, nb, zi) + hold = free.copy() + hold[occ & (zb < zi - margin)] = 0.0 + if TORSO_TRIS is not None: # items behind the torso (cloak): clearly behind = hidden + occt, zt = raster([body], TORSO_TRIS) + hold[occt & (zt < zi - TORSO_HIDE_MARGIN)] = 0.0 + return hold, cov + + +def render_frame(a, i, d, body_mode): + """body_mode: 'visible' | 'holdout' | 'hidden'. Includes the horse holdout of mounted actions.""" + body.hide_render = body_mode == "hidden" + body.is_holdout = body_mode == "holdout" + set_horse(a, i) + px = render_px() + hm = HORSE_MASKS.get((a, i, d)) if HORSE_HOLDOUT else None + if hm is not None and horses.get("Horse_a%d_f%d" % (a, i)) is not None: + set_horse(-1, 0) # outside the horse sprite nothing is hidden + px = np.where(hm[..., None], px, render_px()) + return px + + +def binary_dilation(m, iterations=1): + """4-neighbour dilation (same result as scipy.ndimage.binary_dilation), numpy only.""" + for _ in range(iterations): + d = m.copy() + d[1:] |= m[:-1] + d[:-1] |= m[1:] + d[:, 1:] |= m[:, :-1] + d[:, :-1] |= m[:, 1:] + m = d + return m + + +def fill_small_holes(px, free, max_px): + """transparent patches up to max_px fully surrounded by the item are filled: with the item from the render without + the body (skin poking through) or, where the item mesh itself leaves a gap, with the colour of the item around it""" + a = px[..., 3] >= 0.5 + H, W = a.shape + outside = np.zeros_like(a) + outside[0, :] = outside[-1, :] = outside[:, 0] = outside[:, -1] = True + outside &= ~a + while True: # transparent pixels connected to the image border + g = outside.copy() + g[1:] |= outside[:-1]; g[:-1] |= outside[1:]; g[:, 1:] |= outside[:, :-1]; g[:, :-1] |= outside[:, 1:] + g &= ~a + if (g == outside).all(): + break + outside = g + hole = ~a & ~outside + seen = np.zeros_like(hole) + for y, x in zip(*np.nonzero(hole)): + if seen[y, x]: + continue + comp, stack = [], [(y, x)] + seen[y, x] = True + while stack: + cy, cx = stack.pop() + comp.append((cy, cx)) + for ny, nx in ((cy - 1, cx), (cy + 1, cx), (cy, cx - 1), (cy, cx + 1)): + if 0 <= ny < H and 0 <= nx < W and hole[ny, nx] and not seen[ny, nx]: + seen[ny, nx] = True + stack.append((ny, nx)) + if len(comp) > max_px: + continue # a real opening (e.g. an arm in front of the chest) + todo = [] + for cy, cx in comp: + if free[cy, cx, 3] >= 0.5: + px[cy, cx] = free[cy, cx] + else: + todo.append((cy, cx)) + for _ in range(max_px): # mesh gap: colour of the neighbouring item pixels + left = [] + for cy, cx in todo: + nb = [px[ny, nx] for ny, nx in ((cy - 1, cx), (cy + 1, cx), (cy, cx - 1), (cy, cx + 1)) + if 0 <= ny < H and 0 <= nx < W and px[ny, nx, 3] >= 0.5] + if nb: + px[cy, cx] = np.mean(nb, axis=0); px[cy, cx, 3] = 1.0 + else: + left.append((cy, cx)) + todo = left + if not todo: + break + return px + + +def despeckle(img, thr, passes=2): + """uint8 RGBA: dark single pixels inside the item (not its outline) -> colour of their non-dark neighbours""" + out = img.copy(); m = out[..., 3] > 0; H, W = m.shape + offs = [(y, x) for y in range(3) for x in range(3) if (y, x) != (1, 1)] + for _ in range(passes): + rgb = out[..., :3].astype(float) + lum = rgb.mean(-1) + pad = np.pad(rgb, ((1, 1), (1, 1), (0, 0)), mode="edge"); pm = np.pad(m, 1) + stack = np.stack([pad[y:y + H, x:x + W] for y, x in offs], 0) + valid = np.stack([pm[y:y + H, x:x + W] for y, x in offs], 0) + sl = stack.mean(-1) + srt = np.sort(np.where(valid, sl, np.inf), axis=0) + n = valid.sum(0) + lo = np.take_along_axis(srt, np.clip((n - 1) // 2, 0, 7)[None], 0)[0] + hi = np.take_along_axis(srt, np.clip(n // 2, 0, 7)[None], 0)[0] + med = np.where(np.isfinite(hi), (lo + hi) / 2, lo) + dark = m & (n >= 7) & (lum < med - thr) + if not dark.any(): + break + ok = valid & (sl >= (med - thr / 2)[None]) + w = ok.sum(0) + fill = (stack * ok[..., None]).sum(0) / np.maximum(w, 1)[..., None] + sel = dark & (w > 0) + out[sel, :3] = np.clip(fill[sel] + 0.5, 0, 255).astype(np.uint8) + return out + + +def drop_small_pieces(img, min_px): + """uint8 RGBA: detached pieces of the item (8-connected) smaller than min_px -> transparent, except the biggest""" + m = img[..., 3] > 0; H, W = m.shape + seen = np.zeros_like(m); pieces = [] + for y0, x0 in zip(*np.nonzero(m)): + if seen[y0, x0]: + continue + comp = [(y0, x0)]; seen[y0, x0] = True; k = 0 + while k < len(comp): + cy, cx = comp[k]; k += 1 + for ny in (cy - 1, cy, cy + 1): + for nx in (cx - 1, cx, cx + 1): + if 0 <= ny < H and 0 <= nx < W and m[ny, nx] and not seen[ny, nx]: + seen[ny, nx] = True + comp.append((ny, nx)) + pieces.append(comp) + out = img.copy() + big = max(pieces, key=len) if pieces else None + for comp in pieces: + if len(comp) < min_px and comp is not big: + ys, xs = zip(*comp) + out[list(ys), list(xs)] = 0 + return out + + +def exact_clothing(hold, free, orig_body, cov): + """Hide the item exactly where the ORIGINAL body is in front of it; the 3D model decides front/behind.""" + a_h, a_f = hold[..., 3] >= 0.5, free[..., 3] >= 0.5 + hidden = a_f & ~a_h # the model body hides the item here + out = free.copy() # outside the original body nothing hides the item + use_hold = orig_body & cov + out[use_hold] = hold[use_hold] + rim = orig_body & ~cov & binary_dilation(hidden, iterations=2) # thin rim the model body does not reach + out[rim] = 0.0 + return out + + +root = bpy.path.abspath(OUT_DIR + LAYER + "/") +tmp = os.path.join(root, "_tmp.png") +os.makedirs(root, exist_ok=True) +if os.path.exists(os.path.join(root, "STOP")): + os.remove(os.path.join(root, "STOP")) # a leftover STOP from a cancelled run +blocks, meta_blocks = {}, [] +acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) +todo = [a for a in acts if not ONLY or a.name in ONLY] +total_frames = sum(int(a["uo_frames"]) * 5 for a in todo) +view_prefs = bpy.context.preferences.view +render_display = view_prefs.render_display_type + + +def frame_job(): + """one UO frame per step; uo_job.py hands control back to Blender between two of them (the window stays alive, ESC cancels)""" + view_prefs.render_display_type = "NONE" # no Render Result window popping up for every frame + done_frames = 0 + try: + for act in acts: + if ONLY and act.name not in ONLY: + continue + a = int(act["uo_action"]) + rig.animation_data.action = act + for d in range(5): + rig["uo_direction"] = d + rig.update_tag() + fdir = os.path.join(root, "frames", act.name, "dir%d" % d) + os.makedirs(fdir, exist_ok=True) + frames, meta_frames = [], [] + for i in range(int(act["uo_frames"])): + if os.path.exists(os.path.join(root, "STOP")): # create an empty file named STOP to cancel + raise KeyboardInterrupt("STOP file found in " + root) + set_tile(a, i, d) + sc.frame_set(1 + i * STEP) + for o in clothes: + if o.name in CLOTH: + cloth_show(o, a, i) + if BODY_GAP > 0 and LAYER != "body": + body_fix(a, i) + orig = original(a, i, d) if EXACT_ANY else None + orig_m = orig[..., 3] > 0 if orig is not None else None + if LAYER == "body" and EXACT_BODY and orig is not None: + rgba = orig # the original UO body frame, pixel for pixel + elif LAYER == "clothing" and HOLDOUT_MARGIN > 0: + free = render_frame(a, i, d, "hidden") + hold, cov = body_occlusion(free, HOLDOUT_MARGIN) + px = exact_clothing(hold, free, orig_m, cov) if (EXACT_BODY and orig is not None) else hold + if FILL_HOLES > 0: + px = fill_small_holes(px, free, FILL_HOLES) + rgba = uo_post(px) + if DESPECKLE > 0: + rgba = despeckle(rgba, DESPECKLE) + if MIN_PIECE > 0: + rgba = drop_small_pieces(rgba, MIN_PIECE) + elif LAYER == "clothing": + px = render_frame(a, i, d, "holdout") + if EXACT_BODY and orig is not None: + px = exact_clothing(px, render_frame(a, i, d, "hidden"), orig_m, body_coverage()) + rgba = uo_post(px) + if MIN_PIECE > 0: + rgba = drop_small_pieces(rgba, MIN_PIECE) + else: + px = render_frame(a, i, d, "visible") + rgba = uo_post(px, keep=orig_m if (EXACT_COLORS and orig_m is not None) else None) + h, w = rgba.shape[:2] + frames.append(rgba) + png = bpy.data.images.new("uo_tmp_out", w, h, alpha=True) + png.pixels.foreach_set((rgba[::-1].astype(np.float32) / 255.0).ravel()) + png.filepath_raw = os.path.join(fdir, "%02d.png" % i); png.file_format = "PNG"; png.save() + bpy.data.images.remove(png) + meta_frames.append(dict(file="%02d.png" % i)) + done_frames += 1 + yield "%d / %d frames (%s, direction %d)" % (done_frames, total_frames, act.name, d) + blocks[(a, d)] = frames + meta_blocks.append(dict(action=a, dir=d, name=act.name, frames=meta_frames)) + finally: + fix_clear() # items back to bound, also after STOP / an error / ESC + + +def restore_all(): + view_prefs.render_display_type = render_display + set_horse(-1, 0) + for o in clothes: + if o.name in CLOTH: + cloth_show(o, -1, 0) # back to the bound item + body.is_holdout, body.hide_render = state["holdout"], state["body_hide"] + for o in clothes: + o.hide_render = state["cloth"][o.name] + rig.animation_data.action, rig["uo_direction"] = state["action"], state["direction"] + rig.data.pose_position = state["pose"] + cd = sc.camera.data + cd.sensor_fit, cd.ortho_scale, cd.shift_x, cd.shift_y = cam_state # camera and atlas mapping of the 136x120 file + atlas_map(OW, OH, 0, 0) + sc.render.resolution_x, sc.render.resolution_y = OW, OH + + +def finish(): + global meta_blocks + if os.path.exists(tmp): + os.remove(tmp) + # actions rendered in EARLIER runs into the same folder are kept: each run can use a different item setup (e.g. another + # grip for some actions) and the final .vd contains every action whose frames are on disk + names = {int(a["uo_action"]): a.name for a in acts} + for act in acts: + a = int(act["uo_action"]) + for d in range(5): + if (a, d) in blocks: + continue + fdir = os.path.join(root, "frames", act.name, "dir%d" % d) + files = ["%02d.png" % i for i in range(int(act["uo_frames"]))] + if not all(os.path.exists(os.path.join(fdir, f)) for f in files): + continue + frames = [] + for f in files: + im = bpy.data.images.load(os.path.join(fdir, f)); w, h = im.size + px = np.empty(w * h * 4, np.float32); im.pixels.foreach_get(px); bpy.data.images.remove(im) + frames.append(np.clip(px.reshape(h, w, 4)[::-1] * 255 + 0.5, 0, 255).astype(np.uint8)) + blocks[(a, d)] = frames + meta_blocks.append(dict(action=a, dir=d, name=act.name, frames=[dict(file=f) for f in files])) + print("actions in this .vd:", sorted({a for a, _ in blocks})) + # vdtool-compatible meta.json (canvas mode) so the PNGs can also be packed with: python vdtool.py pack out.vd + done_blocks = {(b["action"], b["dir"]): b for b in meta_blocks} + meta_blocks = [done_blocks.get((a, d), dict(action=a, dir=d, name=names.get(a, "action"), frames=[])) + for a in range(35) for d in range(5)] + with open(os.path.join(root, "meta.json"), "w") as fh: + json.dump(dict(tool="render_uo_layer", anim_type=2, actions=35, mode="canvas", canvas=[W, H], + anchor=list(ANCHOR), blocks=meta_blocks), fh, indent=1) + if WRITE_VD: + vd_path = bpy.path.abspath(VD_FILE % LAYER) + writer.write_vd(vd_path, blocks, anim_type=2, anchor=ANCHOR) + print("wrote", vd_path) + + restore_all() + print("done ->", root) + + +def abort(why): + restore_all() + print("render_uo_layer: %s - nothing written to the .vd (the frames already rendered stay in %s)" % (why, root)) + + +# Blender's window: a long loop inside "Run Script" freezes it ("Not Responding"), so in the interface the frames are rendered +# step by step from a modal operator (uo_job.py: progress in the status bar, ESC cancels). Without the text: a plain loop. +if "uo_job.py" in bpy.data.texts: + bpy.data.texts["uo_job.py"].as_module().run(frame_job(), "render_uo_layer", finish, abort) +else: + try: + for _ in frame_job(): + pass + except BaseException: + abort("error") + raise + finish() diff --git a/third_party/UO_Model3D_v13/pipeline/rig.py b/third_party/UO_Model3D_v13/pipeline/rig.py new file mode 100644 index 0000000..23b3291 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/rig.py @@ -0,0 +1,87 @@ +"""Blender armature matching the fitted skeleton + conversion of fitted poses to pose-bone rotations.""" +import numpy as np +import bpy +from mathutils import Matrix, Vector, Quaternion +from body import JI, JOINTS, ARM_REST_ANGLE + +# joint -> (bone name, tail joint or callable, parent bone, align-roll Z vector) +FWD = (0.0, -1.0, 0.0) +UP = (0.0, 0.0, 1.0) + + +def bone_defs(S, P): + S = {k: np.asarray(v, np.float64) for k, v in S.items()} + sa, ca = np.sin(ARM_REST_ANGLE), np.cos(ARM_REST_ANGLE) + J = lambda n: P[JI[n]] + head_top = J("head") + np.array([0, 0, S["head_c"][2] + S["head_r"][2]]) + defs = [ + # name, joint, head, tail, parent, roll_z + ("pelvis", "pelvis", J("pelvis"), J("spine"), None, FWD), + ("spine", "spine", J("spine"), J("chest"), "pelvis", FWD), + ("chest", "chest", J("chest"), J("neck"), "spine", FWD), + ("neck", "neck", J("neck"), J("head"), "chest", FWD), + ("head", "head", J("head"), head_top, "neck", FWD), + ] + for side, sx in (("L", 1), ("R", -1)): + d = np.array([sx * sa, 0, -ca]) + defs += [ + ("upper_arm." + side, "shoulder." + side, J("shoulder." + side), J("elbow." + side), "chest", FWD), + ("forearm." + side, "elbow." + side, J("elbow." + side), J("wrist." + side), "upper_arm." + side, FWD), + ("hand." + side, "wrist." + side, J("wrist." + side), J("wrist." + side) + d * S["hand"], "forearm." + side, FWD), + ("thigh." + side, "hip." + side, J("hip." + side), J("knee." + side), "pelvis", FWD), + ("shin." + side, "knee." + side, J("knee." + side), J("ankle." + side), "thigh." + side, FWD), + ("foot." + side, "ankle." + side, J("ankle." + side), + J("ankle." + side) + np.array([0, -S["foot_len"] + S["heel_y"], -S["ankle_h"] + S["foot_r"][1]]), + "shin." + side, UP), + ] + return defs + + +def build_armature(S, P, name="UO_Rig"): + arm = bpy.data.armatures.new(name) + ob = bpy.data.objects.new(name, arm) + bpy.context.scene.collection.objects.link(ob) + bpy.context.view_layer.objects.active = ob + ob.select_set(True) + bpy.ops.object.mode_set(mode="EDIT") + defs = bone_defs(S, P) + for bname, joint, h, t, parent, rz in defs: + eb = arm.edit_bones.new(bname) + eb.head = Vector(h) + eb.tail = Vector(t) + eb.align_roll(Vector(rz)) + if parent: + eb.parent = arm.edit_bones[parent] + eb.use_connect = bool(np.allclose(arm.edit_bones[parent].tail, eb.head, atol=1e-5)) + bpy.ops.object.mode_set(mode="OBJECT") + arm.display_type = "OCTAHEDRAL" + ob.show_in_front = True + return ob, {b[0]: b[1] for b in defs} + + +def rodrigues_np(r): + th = np.linalg.norm(r) + if th < 1e-9: + return np.eye(3) + k = r / th + K = np.array([[0, -k[2], k[1]], [k[2], 0, -k[0]], [-k[1], k[0], 0]]) + return np.eye(3) + np.sin(th) * K + (1 - np.cos(th)) * K @ K + + +def apply_pose(arm_ob, bone_joint, pose_rot, trans): + """pose_rot: (NJ,3) axis-angle local rotations in world-aligned rest frames; trans: root translation.""" + for pb in arm_ob.pose.bones: + if pb.name not in bone_joint: # helper bones (clavicles): rest unless set by the caller + pb.rotation_mode = "QUATERNION" + pb.rotation_quaternion = (1, 0, 0, 0) + pb.location = (0, 0, 0) + continue + j = JI[bone_joint[pb.name]] + B = np.array(pb.bone.matrix_local.to_3x3()) + L = B.T @ rodrigues_np(np.asarray(pose_rot[j])) @ B + pb.rotation_mode = "QUATERNION" + pb.rotation_quaternion = Matrix(L.tolist()).to_quaternion() + if pb.parent is None: + pb.location = Vector((B.T @ np.asarray(trans)).tolist()) + else: + pb.location = (0, 0, 0) diff --git a/third_party/UO_Model3D_v13/pipeline/run_anims.py b/third_party/UO_Model3D_v13/pipeline/run_anims.py new file mode 100644 index 0000000..3cdb93f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/run_anims.py @@ -0,0 +1,115 @@ +"""Fit per-frame skeleton poses for every action (shape fixed from shape_fit.pkl).""" +import sys, time, pickle, os +import numpy as np +import jax, jax.numpy as jnp, optax +from PIL import Image +from body import * +from fit import * +from targets import targets +from vd import ACTIONS_PEOPLE +from viz import overlay_row + +sf = pickle.load(open("shape_fit.pkl", "rb")) +fixed = {k: jnp.asarray(v) for k, v in sf["fixed"].items()} +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, fixed) +stand_pose = jax.tree.map(lambda x: jnp.asarray(x[0]), sf["params"]["poses"]) + +CYCLIC = {0, 1, 2, 3, 23, 24} +MOUNTED = set(range(23, 30)) +INIT_FROM = {1: 0, 3: 2, 24: 23, 8: 7} +ORDER = [4, 5, 6, 0, 1, 2, 3, 7, 8, 15, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 30, 31, 32, 33, 34, + 23, 24, 25, 26, 27, 28, 29] +out_path = "anim_fit.pkl" +results = pickle.load(open(out_path, "rb")) if os.path.exists(out_path) else {} +only = [int(a) for a in sys.argv[1:]] or ORDER + + +def mounted_init(): + p = jax.tree.map(lambda x: x, stand_pose) + bi = {j: i for i, j in enumerate(BALL_IDX)} + hi = {j: i for i, j in enumerate(HINGE_IDX)} + ball = np.asarray(p["ball"]).copy(); hinge = np.asarray(p["hinge"]).copy() + ball[bi[JI["hip.L"]]] = [-1.3, -0.5, 0.0] # thighs forward (about X) and spread outward (about Y) + ball[bi[JI["hip.R"]]] = [-1.3, 0.5, 0.0] + hinge[hi[JI["knee.L"]]] = 1.3 + hinge[hi[JI["knee.R"]]] = 1.3 + return dict(ball=jnp.asarray(ball), hinge=jnp.asarray(hinge), trans=jnp.asarray([0.0, 0.0, 0.45])) + + +for a in only: + if a in results: + continue + t0 = time.time() + T = targets(a) + F = len(T) + Anp = T[..., 3].astype(np.float32) / 255.0 + y0, y1, x0, x1 = crop_box(Anp) + A = jnp.asarray(Anp[..., y0:y1, x0:x1]) + pix = PIX[y0:y1, x0:x1] + gw = 0.0 if a in MOUNTED else 1.0 + + single = jax.jit(jax.value_and_grad(lambda pp, al: frame_loss(S, pp, al, gw, pix=pix)[0])) + opt = optax.adam(0.02) + + if a in INIT_FROM and INIT_FROM[a] in results: + src = results[INIT_FROM[a]]["poses"] + inits = [jax.tree.map(lambda x: jnp.asarray(x[min(i, x.shape[0] - 1)]), src) for i in range(F)] + else: + inits = [mounted_init() if a in MOUNTED else stand_pose] + [None] * (F - 1) + + # --- sequential pass: each frame starts from the previous frame's solution + poses = [] + prev = None + for i in range(F): + pp = inits[i] if inits[i] is not None else prev + st = opt.init(pp) + for it in range(350): + l, g = single(pp, A[i]) + up, st = opt.update(g, st, pp) + pp = optax.apply_updates(pp, up) + poses.append(pp) + prev = pp + + # --- joint refinement with temporal smoothness + batch = jax.tree.map(lambda *xs: jnp.stack(xs), *poses) + cyc = a in CYCLIC + + def joint_loss(bp): + f = jax.vmap(lambda pp, al: frame_loss(S, pp, al, gw, pix=pix)) + l, d = f(bp, A) + sm = 0.0 + if F > 1: + for k in ("ball", "hinge", "trans"): + x = bp[k] + diff = x[1:] - x[:-1] + sm += jnp.sum(diff ** 2) + if cyc: + sm += jnp.sum((x[0] - x[-1]) ** 2) * 0.5 + return jnp.sum(l) + 0.05 * sm, jnp.sum(d) + jvg = jax.jit(jax.value_and_grad(joint_loss, has_aux=True)) + opt2 = optax.adam(optax.exponential_decay(0.01, 300, 0.3)) + st = opt2.init(batch) + for it in range(300): + (l, d), g = jvg(batch) + up, st = opt2.update(g, st, batch) + batch = optax.apply_updates(batch, up) + (l, d), _ = jvg(batch) + per_frame = [] + for i in range(F): + pp = jax.tree.map(lambda x: x[i], batch) + per_frame.append(float(frame_loss(S, pp, A[i], gw, pix=pix)[1])) + results[a] = dict(poses=jax.tree.map(np.asarray, batch), data_loss=per_frame, crop=(y0, y1, x0, x1)) + pickle.dump(results, open(out_path, "wb")) + # QA overlay + rows = [] + for i in range(F): + pose = pose_from_params(jax.tree.map(lambda x: x[i], batch)) + P, R = fk(S, pose) + rows.append(overlay_row(T[i][:, y0:y1, x0:x1], [render_sil(S, P, R, dd, pix=pix) for dd in range(5)], zoom=3)) + im = Image.new("RGB", (rows[0].width, sum(r.height for r in rows))) + yy = 0 + for r in rows: + im.paste(r, (0, yy)); yy += r.height + os.makedirs("qa", exist_ok=True) + im.save(f"qa/a{a:02d}_{ACTIONS_PEOPLE[a]}.png") + print(f"action {a:2d} {ACTIONS_PEOPLE[a]:24s} frames={F} data={np.mean(per_frame):.3f} max={np.max(per_frame):.3f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/run_anims2.py b/third_party/UO_Model3D_v13/pipeline/run_anims2.py new file mode 100644 index 0000000..991a7af --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/run_anims2.py @@ -0,0 +1,233 @@ +"""Per-frame pose fitting with chamfer (distance-transform) terms and coarse-to-fine blur. +Limb identity is never swapped: every frame starts from the previous frame (frame 0 from the stand pose).""" +import sys, time, pickle, os +import numpy as np +import jax, jax.numpy as jnp, optax +from scipy.ndimage import distance_transform_edt +from PIL import Image +from body import * +from fit import * +from targets import targets +from vd import ACTIONS_PEOPLE +from viz import overlay_row + +sf = pickle.load(open("shape_fit.pkl", "rb")) +fixed = {k: jnp.asarray(v) for k, v in sf["fixed"].items()} +S = params_to_shape({k: jnp.asarray(v) for k, v in sf["params"]["shape"].items()}, fixed) +prev_res = pickle.load(open("anim_fit_run1.pkl", "rb")) +stand_pose = {k: jnp.asarray(v[0]) for k, v in prev_res[4]["poses"].items()} + +CYCLIC = {0, 1, 2, 3, 23, 24} +MOUNTED = set(range(23, 30)) +out_path = sys.argv[sys.argv.index("--out") + 1] if "--out" in sys.argv else "anim_fit2.pkl" +acts = [int(a) for a in sys.argv[1:] if a.isdigit()] +results = pickle.load(open(out_path, "rb")) if os.path.exists(out_path) else {} +FIRST_FROM = {9: 7, 10: 7, 11: 7, 18: 7, 19: 8, 12: 8, 13: 8, 14: 8} # frame 0 starts from the combat stance +PER_FRAME_FROM = {2: 0, 3: 0, 15: 0} # cycle starts from the fitted walk + + +def lookup(a): + for f in ("anim_fit2a.pkl", "anim_fit2b.pkl", out_path, "anim_fit_run1.pkl"): + if os.path.exists(f): + r = pickle.load(open(f, "rb")) + if a in r: + if f == "anim_fit_run1.pkl" and a not in (0, 1, 4, 5, 6, 16, 30, 31, 32, 34): + continue # only trust the good first-pass results + return r[a]["poses"] + return None + +BI = {j: i for i, j in enumerate(BALL_IDX)} +HI = {j: i for i, j in enumerate(HINGE_IDX)} +MIR = jnp.array([1.0, -1.0, -1.0]) + + +def swap(pp, balls, hinges): + b, h = pp["ball"], pp["hinge"] + for l in balls: + il, ir = BI[JI[l + ".L"]], BI[JI[l + ".R"]] + bl, br = b[il], b[ir] + b = b.at[il].set(br * MIR).at[ir].set(bl * MIR) + for l in hinges: + il, ir = HI[JI[l + ".L"]], HI[JI[l + ".R"]] + hl, hr = h[il], h[ir] + h = h.at[il].set(hr).at[ir].set(hl) + return dict(ball=b, hinge=h, trans=pp["trans"]) + + +# Left/right hypotheses for the FIRST frame only. In the front (dir 0) and back (dir 4) views left and right limbs +# are on fixed screen sides and a forward foot is drawn lower, so these two views decide which limb is which. +LR_VARIANTS = { + "legs": lambda p: swap(p, ["hip", "ankle"], ["knee"]), + "arms": lambda p: swap(p, ["shoulder", "wrist"], ["elbow"]), + "both": lambda p: swap(p, ["hip", "ankle", "shoulder", "wrist"], ["knee", "elbow"]), +} + + +RIDE_LEGS = { # riding template: thighs forward and spread around the horse, knees bent + "hip.L": [-1.2, -0.55, 0.0], "hip.R": [-1.2, 0.55, 0.0], "ankle.L": [0.3, 0.0, 0.0], "ankle.R": [0.3, 0.0, 0.0]} +RIDE_KNEE = 1.4 +RIDE_IDX = np.array([BI[JI[j]] for j in RIDE_LEGS]) +RIDE_VAL = jnp.asarray(np.array(list(RIDE_LEGS.values())), jnp.float32) +KNEE_IDX = np.array([HI[JI["knee.L"]], HI[JI["knee.R"]]]) + + +def ride_prior(pp): + # UO rider sprites have the parts behind the horse removed, so the legs are held near a riding pose + return 8.0 * (jnp.sum((pp["ball"][RIDE_IDX] - RIDE_VAL) ** 2) + jnp.sum((pp["hinge"][KNEE_IDX] - RIDE_KNEE) ** 2)) + + +def mounted_init(): + ball = np.asarray(stand_pose["ball"]).copy(); hinge = np.asarray(stand_pose["hinge"]).copy() + for j, v in RIDE_LEGS.items(): + ball[BI[JI[j]]] = v + hinge[HI[JI["knee.L"]]] = RIDE_KNEE + hinge[HI[JI["knee.R"]]] = RIDE_KNEE + return dict(ball=jnp.asarray(ball), hinge=jnp.asarray(hinge), trans=jnp.asarray([0.0, 0.0, 0.45])) + + +LIMITS = { # joint: ((xlo,xhi),(ylo,yhi),(zlo,zhi)) on the axis-angle vector in the rest frame + "hip.L": ((-2.3, 0.6), (-0.9, 0.5), (-0.7, 0.7)), "hip.R": ((-2.3, 0.6), (-0.5, 0.9), (-0.7, 0.7)), + "ankle.L": ((-0.8, 0.8), (-0.5, 0.5), (-0.5, 0.5)), "ankle.R": ((-0.8, 0.8), (-0.5, 0.5), (-0.5, 0.5)), + "spine": ((-0.8, 0.8), (-0.6, 0.6), (-0.7, 0.7)), "chest": ((-0.8, 0.8), (-0.6, 0.6), (-0.7, 0.7)), + "neck": ((-0.8, 0.8), (-0.6, 0.6), (-0.9, 0.9)), "head": ((-0.8, 0.8), (-0.6, 0.6), (-0.9, 0.9)), + "wrist.L": ((-1.2, 1.2), (-1.2, 1.2), (-1.2, 1.2)), "wrist.R": ((-1.2, 1.2), (-1.2, 1.2), (-1.2, 1.2)), +} +LIM_IDX = np.array([BI[JI[j]] for j in LIMITS]) +LIM_LO = jnp.asarray(np.array([[r[0] for r in v] for v in LIMITS.values()]), jnp.float32) +LIM_HI = jnp.asarray(np.array([[r[1] for r in v] for v in LIMITS.values()]), jnp.float32) + + +def limit_penalty(pp): + b = pp["ball"][LIM_IDX] + return jnp.sum(jax.nn.relu(LIM_LO - b) ** 2 + jax.nn.relu(b - LIM_HI) ** 2) * 20.0 + + +def full_loss(pp, alpha, dt, gw, pix, tau, wch): + pose = pose_from_params(pp) + P, R = fk(S, pose) + occs, dmins = [], [] + for d in range(5): + o, dist = render_sil(S, P, R, d, tau=tau, return_parts=True, pix=pix) + occs.append(o); dmins.append(jnp.min(dist, 0)) + occ = jnp.stack(occs); dmin = jnp.stack(dmins) + data = jnp.mean((occ - alpha) ** 2) * 100.0 + cham = jnp.mean(occ * dt) + jnp.mean(alpha * jax.nn.relu(dmin)) + reg = 1e-3 * jnp.sum(pp["ball"] ** 2) + hinge_limit_penalty(pp["hinge"]) + limit_penalty(pp) + reg = reg + jnp.where(gw == 0.0, ride_prior(pp), 0.0) + mz = foot_min_z(S, P, R) + ground = gw * (mz ** 2) * 100.0 + 10.0 * jax.nn.relu(-mz - 0.01) ** 2 * 100 + return data + wch * cham + reg + ground, data + + +for a in acts: + t0 = time.time() + T = targets(a) + F = len(T) + Anp = T[..., 3].astype(np.float32) / 255.0 + y0, y1, x0, x1 = crop_box(Anp, margin=10) + A = Anp[..., y0:y1, x0:x1] + DT = np.stack([[distance_transform_edt(A[i, d] < 0.5) for d in range(5)] for i in range(F)]).astype(np.float32) + A = jnp.asarray(A); DT = jnp.asarray(DT) + pix = PIX[y0:y1, x0:x1] + gw = 0.0 if a in MOUNTED else 1.0 + coarse = jax.jit(jax.value_and_grad(lambda pp, al, dt: full_loss(pp, al, dt, gw, pix, 1.2, 2.0)[0])) + fine = jax.jit(jax.value_and_grad(lambda pp, al, dt: full_loss(pp, al, dt, gw, pix, 0.45, 0.0)[0])) + fine_eval = jax.jit(lambda pp, al, dt: full_loss(pp, al, dt, gw, pix, 0.45, 0.0)) + + @jax.jit + def front_back(pp, al): + P, R = fk(S, pose_from_params(pp)) + return sum(jnp.mean((render_sil(S, P, R, d, pix=pix) - al[d]) ** 2) * 100 for d in (0, 4)) + + def run(fn, pp, al, dt, n, lr): + opt = optax.adam(lr); st = opt.init(pp) + for _ in range(n): + l, g = fn(pp, al, dt) + up, st = opt.update(g, st, pp) + pp = optax.apply_updates(pp, up) + return pp + + base = mounted_init() if a in MOUNTED else stand_pose + if a in FIRST_FROM and lookup(FIRST_FROM[a]) is not None: + base = {k: jnp.asarray(v[0]) for k, v in lookup(FIRST_FROM[a]).items()} + extra = lookup(PER_FRAME_FROM[a]) if a in PER_FRAME_FROM else None + cyc = a in CYCLIC + + def fit_frame(i, init): + # starts: previous frame (and, for run/advance cycles, the walk frame with the same index); + # each start: plain silhouette fit, and long-range pull + fit; keep the best. Limb identity is never swapped. + starts = [init] + if extra is not None and i < extra["trans"].shape[0]: + starts.append({k: jnp.asarray(v[i]) for k, v in extra.items()}) + best, bl = None, np.inf + for st0 in starts: + c1 = run(fine, st0, A[i], DT[i], 300, 0.02) + c2 = run(fine, run(coarse, st0, A[i], DT[i], 120, 0.03), A[i], DT[i], 300, 0.02) + for c in (c1, c2): + l = float(fine_eval(c, A[i], DT[i])[0]) + if l < bl: + best, bl = c, l + return best, bl + + poses, losses = [], [] + prev = base + for i in range(F): + p, l = fit_frame(i, prev) + if i == 0: + fb = float(front_back(p, A[0])) + chosen = "as fitted" + for vn, fn_ in LR_VARIANTS.items(): + q = run(fine, fn_(p), A[0], DT[0], 300, 0.015) + ql = float(fine_eval(q, A[0], DT[0])[0]); qfb = float(front_back(q, A[0])) + if qfb < 0.95 * fb and ql < 1.05 * l: + p, l, fb, chosen = q, ql, qfb, vn + " L/R matched to original" + print(f" action {a} frame 0 left/right: {chosen}", flush=True) + poses.append(p); losses.append(l) + prev = p + if cyc and F > 1: + # second pass around the loop: frame 0 continues from the last frame, and so on + prev = poses[-1] + for i in range(F): + p, l = fit_frame(i, prev) + if l < losses[i]: + poses[i], losses[i] = p, l + prev = poses[i] + + batch = jax.tree.map(lambda *xs: jnp.stack(xs), *poses) + + def joint_loss(bp): + l, d = jax.vmap(lambda pp, al, dt: full_loss(pp, al, dt, gw, pix, 0.45, 0.0))(bp, A, DT) + sm = 0.0 + if F > 1: + for k in ("ball", "hinge", "trans"): + x = bp[k] + sm += jnp.sum((x[1:] - x[:-1]) ** 2) + if cyc: + sm += 0.5 * jnp.sum((x[0] - x[-1]) ** 2) + return jnp.sum(l) + 0.05 * sm, jnp.sum(d) + jvg = jax.jit(jax.value_and_grad(joint_loss, has_aux=True)) + opt2 = optax.adam(optax.exponential_decay(0.01, 250, 0.3)); st = opt2.init(batch) + for _ in range(250): + (l, d), g = jvg(batch) + up, st = opt2.update(g, st, batch) + batch = optax.apply_updates(batch, up) + worst = [] + rows = [] + for i in range(F): + pp = jax.tree.map(lambda x: x[i], batch) + P, R = fk(S, pose_from_params(pp)) + occ = [render_sil(S, P, R, dd, pix=pix) for dd in range(5)] + o = np.stack([np.asarray(x) for x in occ]) > 0.5 + s = np.asarray(A[i]) > 0.5 + worst.append(min((o[d] & s[d]).sum() / max((o[d] | s[d]).sum(), 1) for d in range(5))) + rows.append(overlay_row(T[i][:, y0:y1, x0:x1], occ, zoom=3)) + results = pickle.load(open(out_path, "rb")) if os.path.exists(out_path) else {} + results[a] = dict(poses=jax.tree.map(np.asarray, batch), worst_iou=worst, crop=(y0, y1, x0, x1)) + pickle.dump(results, open(out_path, "wb")) + im = Image.new("RGB", (rows[0].width, sum(r.height for r in rows))) + yy = 0 + for r in rows: + im.paste(r, (0, yy)); yy += r.height + os.makedirs("qa2", exist_ok=True) + im.save(f"qa2/a{a:02d}_{ACTIONS_PEOPLE[a]}.png") + print(f"action {a:2d} {ACTIONS_PEOPLE[a]:24s} frames={F} worstIoU mean={np.mean(worst):.3f} min={np.min(worst):.3f} {time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/run_render_headless.py b/third_party/UO_Model3D_v13/pipeline/run_render_headless.py new file mode 100644 index 0000000..31521ff --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/run_render_headless.py @@ -0,0 +1,40 @@ +"""Run render_uo_layer.py headless (bpy module) on a .blend with some settings overridden. + + python run_render_headless.py [--script render_uo_layer.py] [NAME= ...] + python run_render_headless.py ../model/UO_Body_0x190.blend /tmp/out LAYER='"body"' ONLY='["04_stand"]' CANVAS='(136,120)' ANCHOR='(68,86)' + --pre file.py runs a script (with bpy) after the .blend is opened and before the render, e.g. to add a test object. + +The script text comes from the given file (default: render_uo_layer.py next to this one), not from the text embedded in the +.blend, so a change in pipeline/ can be tested without touching the .blend. Output goes to // and /.vd. +The .blend is only read, never saved. Needs: pip install numpy "bpy==4.2.*" (or "bpy==5.0.1"; Blender 5.2 also works: blender -b --python run_render_headless.py -- ). +""" +import os, re, sys +if "--" in sys.argv: # run inside Blender: blender -b --python this.py -- + sys.argv = sys.argv[:1] + sys.argv[sys.argv.index("--") + 1:] + +import bpy + +args = sys.argv[1:] +blend, out_dir = os.path.abspath(args.pop(0)), os.path.abspath(args.pop(0)) +script = os.path.join(os.path.dirname(os.path.abspath(__file__)), "render_uo_layer.py") +pre = None +while args and args[0] in ("--script", "--pre"): + flag = args.pop(0) + if flag == "--script": + script = os.path.abspath(args.pop(0)) + else: + pre = os.path.abspath(args.pop(0)) +over = dict(a.split("=", 1) for a in args) +over.setdefault("OUT_DIR", repr(out_dir + "/")) +over.setdefault("VD_FILE", repr(out_dir + "/%s.vd")) + +text = open(script).read() +for k, v in over.items(): + text, n = re.subn(r"^%s\s*=.*$" % re.escape(k), "%s = %s" % (k, v), text, count=1, flags=re.M) + if n != 1: + sys.exit("setting %s not found in %s" % (k, script)) + +bpy.ops.wm.open_mainfile(filepath=blend) +if pre: + exec(compile(open(pre).read(), pre, "exec"), {"__name__": "__pre__", "bpy": bpy}) +exec(compile(text, script, "exec"), {"__name__": "__main__", "__file__": script}) diff --git a/third_party/UO_Model3D_v13/pipeline/run_script_in_blend.py b/third_party/UO_Model3D_v13/pipeline/run_script_in_blend.py new file mode 100644 index 0000000..e8074f3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/run_script_in_blend.py @@ -0,0 +1,10 @@ +"""python run_script_in_blend.py : open the .blend (bpy module) and run the script with bpy in its globals (the .blend is not saved).""" +import sys, os +if "--" in sys.argv: # run inside Blender: blender -b --python this.py -- + sys.argv = sys.argv[:1] + sys.argv[sys.argv.index("--") + 1:] +import bpy +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(sys.argv[1])) +sc = os.path.abspath(sys.argv[2]) +exec(compile(open(sc).read(), sc, "exec"), {"__name__": "__main__", "bpy": bpy}) +sys.stdout.flush(); sys.stderr.flush() +os._exit(0) # the bpy module can segfault while it shuts down, after the work is done diff --git a/third_party/UO_Model3D_v13/pipeline/run_shape.py b/third_party/UO_Model3D_v13/pipeline/run_shape.py new file mode 100644 index 0000000..e248dd6 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/run_shape.py @@ -0,0 +1,54 @@ +import numpy as np, jax, jax.numpy as jnp, optax, pickle, time +from body import * +from fit import * +from targets import targets +from viz import overlay_row +from PIL import Image + +# frames used for the shape fit: stand, walk, run, fidget, spell_area, bow +sel = [(4,0)] + [(0,i) for i in range(0,10,2)] + [(2,i) for i in range(0,10,2)] + [(17,3),(16,3),(32,2),(6,2)] +T = np.stack([targets(a,i)[0] for a,i in sel]) # (F,5,H,W,4) +Anp = T[...,3].astype(np.float32)/255.0 +y0,y1,x0,x1 = crop_box(Anp) +print('crop', y1-y0, x1-x0) +A = jnp.asarray(Anp[...,y0:y1,x0:x1]) +pix = PIX[y0:y1,x0:x1] +F = len(sel) +ground_w = jnp.asarray([0.0 if a==21 else 1.0 for a,_ in sel]) + +S0 = init_shape() +fixed = {k:S0[k] for k in FIXED_KEYS} +params = dict(shape=shape_to_params(S0), + poses=jax.tree.map(lambda x: jnp.stack([x]*F), init_pose_params())) + +def total(params): + S = params_to_shape(params['shape'], fixed) + f = jax.vmap(lambda pp, a, g: frame_loss(S, pp, a, g, pix=pix, torso_w=0.3)) + l, d = f(params['poses'], A, ground_w) + return jnp.sum(l) + shape_prior(S, S0), jnp.sum(d) + +vg = jax.jit(jax.value_and_grad(total, has_aux=True)) +sched = optax.exponential_decay(0.02, 1000, 0.3) +opt = optax.adam(sched); st = opt.init(params) +@jax.jit +def step(params, st): + (l, d), g = vg(params) + up, st = opt.update(g, st, params) + return optax.apply_updates(params, up), st, l, d +t=time.time() +for it in range(1601): + params, st, l, d = step(params, st) + if it%250==0: print(it, float(l), float(d), f"{time.time()-t:.0f}s", flush=True) +pickle.dump(jax.tree.map(np.asarray, dict(params=params, fixed=fixed, sel=sel)), open('shape_fit.pkl','wb')) +S = params_to_shape(params['shape'], fixed) +print('theta deg', float(jnp.degrees(S['theta']))) +for k,v in S.items(): print(k, np.round(np.asarray(v),3)) +rows=[] +for i in range(F): + pose = pose_from_params(jax.tree.map(lambda x:x[i], params['poses'])) + P,R = fk(S,pose) + rows.append(overlay_row(T[i], [render_sil(S,P,R,d) for d in range(5)], zoom=3)) +W=rows[0].width; im=Image.new('RGB',(W,sum(r.height for r in rows))) +y=0 +for r in rows: im.paste(r,(0,y)); y+=r.height +im.save('shape_fit.png') diff --git a/third_party/UO_Model3D_v13/pipeline/sdfmesh.py b/third_party/UO_Model3D_v13/pipeline/sdfmesh.py new file mode 100644 index 0000000..3a883bd --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/sdfmesh.py @@ -0,0 +1,150 @@ +"""Build a smooth rest-pose body surface from the fitted primitives: SDF smooth-union + marching cubes.""" +import numpy as np +from skimage import measure +import jax.numpy as jnp +from body import fk, zero_pose, JI, ARM_REST_ANGLE + +PART_BONE = {} # primitive name -> bone name (for skin weights) + + +def sd_ellipsoid(p, c, R, r): + q = (p - c) @ R # into local frame + k0 = np.linalg.norm(q / r, axis=-1) + k1 = np.linalg.norm(q / (r * r), axis=-1) + return k0 * (k0 - 1.0) / np.maximum(k1, 1e-9) + + +def sd_round_cone(p, a, b, r1, r2): + ba = b - a + l2 = ba @ ba + rr = r1 - r2 + a2 = l2 - rr * rr + il2 = 1.0 / l2 + pa = p - a + y = pa @ ba + z = y - l2 + x2 = np.sum((pa * l2 - np.outer(y, ba)) ** 2, -1) + y2 = y * y * l2 + z2 = z * z * l2 + k = np.sign(rr) * rr * rr * x2 + d3 = (np.sqrt(np.maximum(x2 * a2 * il2, 0)) + y * rr) * il2 - r1 + d = np.where(np.sign(z) * a2 * z2 > k, np.sqrt(x2 + z2) * il2 - r2, + np.where(np.sign(y) * a2 * y2 < k, np.sqrt(x2 + y2) * il2 - r1, d3)) + return d + + +def smin(a, b, k): + h = np.clip(0.5 + 0.5 * (b - a) / k, 0.0, 1.0) + return b * (1 - h) + a * h - k * h * (1 - h) + + +def rot_x(a): + c, s = np.cos(a), np.sin(a) + return np.array([[1, 0, 0], [0, c, -s], [0, s, c]]) + + +def rot_y(a): + c, s = np.cos(a), np.sin(a) + return np.array([[c, 0, s], [0, 1, 0], [-s, 0, c]]) + + +def body_parts(S): + """List of (name, bone, sdf_fn) for the rest pose (A-pose).""" + S = {k: np.asarray(v, np.float64) for k, v in S.items()} + P, _ = fk({k: jnp.asarray(v, jnp.float32) for k, v in S.items()}, zero_pose()) + P = np.asarray(P, np.float64) + I = np.eye(3) + sa, ca = np.sin(ARM_REST_ANGLE), np.cos(ARM_REST_ANGLE) + parts = [] + + def ell(name, bone, c, r, R=I): + parts.append((name, bone, lambda p, c=c, r=r, R=R: sd_ellipsoid(p, c, R, r))) + + def cone(name, bone, a, b, r1, r2): + parts.append((name, bone, lambda p, a=a, b=b, r1=r1, r2=r2: sd_round_cone(p, a, b, r1, r2))) + + pel, sp, ch, nk, hd = (P[JI[n]] for n in ("pelvis", "spine", "chest", "neck", "head")) + ell("pelvis", "pelvis", pel + S["pelvis_c"], S["pelvis_r"]) + ell("abdomen", "spine", sp + S["abd_c"], S["abd_r"]) + ell("chest", "chest", ch + S["chest_c"], S["chest_r"]) + cone("neck", "neck", nk, hd, S["neck_r"], S["neck_r"] * 0.9) + hc, hr = hd + S["head_c"], S["head_r"] + ell("head", "head", hc, hr) + # --- anatomical detail (fixed relative to fitted sizes; small, mostly inside the fitted silhouette) + ell("jaw", "head", hc + np.array([0, -0.35 * hr[1], -0.45 * hr[2]]), hr * np.array([0.75, 0.62, 0.5])) + cone("nose", "head", hc + np.array([0, -0.80 * hr[1], 0.05 * hr[2]]), + hc + np.array([0, -1.02 * hr[1], -0.22 * hr[2]]), 0.10 * hr[0], 0.16 * hr[0]) + ell("brow", "head", hc + np.array([0, -0.62 * hr[1], 0.20 * hr[2]]), hr * np.array([0.62, 0.30, 0.16])) + for sx in (1, -1): + ell("ear" + str(sx), "head", hc + np.array([sx * 0.93 * hr[0], 0.05 * hr[1], 0.02 * hr[2]]), + hr * np.array([0.14, 0.24, 0.32])) + cr, cc = S["chest_r"], ch + S["chest_c"] + for sx, side in ((1, "L"), (-1, "R")): + ell("pec." + side, "chest", cc + np.array([sx * 0.42 * cr[0], -0.55 * cr[1], 0.05 * cr[2]]), + np.array([0.46 * cr[0], 0.48 * cr[1], 0.38 * cr[2]])) + sh = P[JI["shoulder." + side]] + ell("delt." + side, "upper_arm." + side, sh + np.array([sx * 0.25, 0, -0.35]) * S["uarm_r"][0], + np.array([1.15, 1.2, 1.35]) * S["uarm_r"][0], rot_y(sx * ARM_REST_ANGLE * 0.5)) + ell("trap." + side, "chest", (sh + nk) / 2 + np.array([0, 0.25 * cr[1], -0.02]), + np.array([0.55 * np.linalg.norm(sh - nk), 0.45 * cr[1], 0.28 * cr[2]])) + ell("glute." + side, "pelvis", pel + S["pelvis_c"] + np.array([sx * 0.45 * S["pelvis_r"][0], 0.45 * S["pelvis_r"][1], -0.25 * S["pelvis_r"][2]]), + S["pelvis_r"] * np.array([0.52, 0.62, 0.62])) + ua = (P[JI["shoulder." + side]], P[JI["elbow." + side]]) + cone("uarm." + side, "upper_arm." + side, ua[0], ua[1], *S["uarm_r"]) + fa = (P[JI["elbow." + side]], P[JI["wrist." + side]]) + cone("farm." + side, "forearm." + side, fa[0], fa[1], *S["farm_r"]) + d = np.array([sx * sa, 0, -ca]) + Rh = rot_y(sx * ARM_REST_ANGLE).T + Rh = np.array([[ca, 0, -sx * sa], [0, 1, 0], [sx * sa, 0, ca]]) + w = P[JI["wrist." + side]] + # palm: flattened in the arm plane (thin along Y), thumb pointing forward + ell("hand." + side, "hand." + side, w + d * S["hand"] * 0.45, S["hand_r"], Rh) + tb = w + d * S["hand"] * 0.25 + np.array([0, -S["hand_r"][1] * 1.2, 0]) + cone("thumb." + side, "hand." + side, w + d * 0.02 + np.array([0, -S["hand_r"][1] * 0.5, 0]), + tb + d * S["hand"] * 0.25, S["hand_r"][1] * 0.75, S["hand_r"][1] * 0.6) + th = (P[JI["hip." + side]], P[JI["knee." + side]]) + cone("thigh." + side, "thigh." + side, th[0], th[1], *S["thigh_r"]) + sh_ = (P[JI["knee." + side]], P[JI["ankle." + side]]) + cone("shin." + side, "shin." + side, sh_[0], sh_[1], *S["shin_r"]) + ell("calf." + side, "shin." + side, sh_[0] * 0.72 + sh_[1] * 0.28 + np.array([0, 0.35 * S["shin_r"][0], 0]), + np.array([0.85, 0.9, 2.6]) * S["shin_r"][0]) + a = P[JI["ankle." + side]] + heel = a + np.array([0.0, S["heel_y"], -S["ankle_h"] + S["foot_r"][0]]) + toe = a + np.array([0.0, -S["foot_len"] + S["heel_y"] + S["foot_r"][1], -S["ankle_h"] + S["foot_r"][1]]) + cone("foot." + side, "foot." + side, heel, toe, *S["foot_r"]) + return parts, P + + +BLEND_K = {"default": 0.03, "abdomen": 0.08, "chest": 0.08, "neck": 0.05, "head": 0.03, + "nose": 0.008, "ear1": 0.006, "ear-1": 0.006, "thumb.L": 0.01, "thumb.R": 0.01, "brow": 0.015, + "jaw": 0.02, "pec.L": 0.04, "pec.R": 0.04, "trap.L": 0.05, "trap.R": 0.05, + "glute.L": 0.04, "glute.R": 0.04, "uarm.L": 0.04, "uarm.R": 0.04, "thigh.L": 0.035, "thigh.R": 0.035} + + +def body_sdf(parts, pts): + d = None + per = [] + for name, bone, f in parts: + di = f(pts) + per.append(di) + k = BLEND_K.get(name, BLEND_K["default"]) + d = di if d is None else smin(d, di, k) + return d, np.stack(per) + + +def build_mesh(S, res=0.006): + parts, P = body_parts(S) + lo = np.array([-1.0, -0.4, -0.05]) + hi = np.array([1.0, 0.4, 2.2]) + # tighten box using joints + lo = np.minimum(lo, P.min(0) - 0.3) + hi = np.maximum(hi, P.max(0) + 0.3) + n = np.ceil((hi - lo) / res).astype(int) + 1 + g = np.stack(np.meshgrid(*[lo[i] + np.arange(n[i]) * res for i in range(3)], indexing="ij"), -1).reshape(-1, 3) + d = np.empty(len(g)) + for i in range(0, len(g), 400000): + d[i:i + 400000], _ = body_sdf(parts, g[i:i + 400000]) + vol = d.reshape(n) + v, f, nrm, _ = measure.marching_cubes(vol, 0.0, spacing=(res, res, res)) + v = v + lo + return v, f[:, ::-1], parts, P diff --git a/third_party/UO_Model3D_v13/pipeline/shift_test.py b/third_party/UO_Model3D_v13/pipeline/shift_test.py new file mode 100644 index 0000000..5bc1167 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/shift_test.py @@ -0,0 +1,27 @@ +"""How much would a per-(frame, direction) 2D image shift of the model improve the IoU? (integer shifts, +-3 px)""" +import sys, pickle, numpy as np, jax.numpy as jnp +from posefit_mesh import * +from posefit_mesh import _posed_j +from vd import ACTIONS_PEOPLE +P = pickle.load(open(sys.argv[1], "rb")) +R = 3 +allsh = [] +for a in range(35): + T = targets(a); m = T[..., 3] > 127; F = len(T) + hid = (horse_masks(a, F) & ~m) if a in HORSE_OF else np.zeros_like(m) + i0 = []; ib = []; sh = [] + for i in range(F): + X = _posed_j({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()}) + for d in range(5): + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) + s = m[i, d]; best = (-1, 0, 0) + for dy in range(-R, R + 1): + for dx in range(-R, R + 1): + k = np.roll(np.roll(mk, dy, 0), dx, 1) & ~hid[i, d] + iou = (k & s).sum() / max((k | s).sum(), 1) + if dx == 0 and dy == 0: z = iou + if iou > best[0]: best = (iou, dx, dy) + i0.append(z); ib.append(best[0]); sh.append(best[1:]) + sh = np.array(sh); allsh.append(sh) + nz = (np.abs(sh).max(1) > 0).mean() + print(f"{a:2d} {ACTIONS_PEOPLE[a]:24s} IoU {np.mean(i0):.3f} -> {np.mean(ib):.3f} shifted views {nz:.2f} mean|shift| {np.abs(sh).mean(0)}", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/strip_originals.py b/third_party/UO_Model3D_v13/pipeline/strip_originals.py new file mode 100644 index 0000000..6813330 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/strip_originals.py @@ -0,0 +1,17 @@ +"""Copy of the .blend WITHOUT the packed original UO frames (for the repository). Exact modes stay off until +pack_originals.py puts the frames back from the user's own client files.""" +import bpy, sys, os +src, out = sys.argv[sys.argv.index("--src") + 1], sys.argv[sys.argv.index("--out") + 1] +os.makedirs(out, exist_ok=True) +bpy.context.preferences.filepaths.save_version = 0 +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(src)) +sc = bpy.context.scene +for name in ("UO_Original_Atlas",): + if name in bpy.data.images: + bpy.data.images.remove(bpy.data.images[name]) +if "uo_original_frames.json" in bpy.data.texts: + bpy.data.texts.remove(bpy.data.texts["uo_original_frames.json"]) +sc["uo_exact"] = 0.0 +bpy.data.texts["render_uo_layer.py"].from_string(open("render_uo_layer.py").read()) +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(out, "UO_Body_0x190.blend"))) +print("stripped") diff --git a/third_party/UO_Model3D_v13/pipeline/sync_blend_scripts.py b/third_party/UO_Model3D_v13/pipeline/sync_blend_scripts.py new file mode 100644 index 0000000..9e011e9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/sync_blend_scripts.py @@ -0,0 +1,32 @@ +"""Compare / copy the scripts of pipeline/ with the texts embedded in a .blend (the .blend runs ITS OWN copy of a script). + + python sync_blend_scripts.py --check # which embedded texts differ from the files of pipeline/ + python sync_blend_scripts.py render_uo_layer.py # copy the given scripts into the .blend and save it +Only the named texts are replaced. Everything else in the .blend stays as it is. Needs: pip install "bpy==4.2.*" (a file saved by Blender 5.x does not open in 4.2: sync with 4.2 to keep both working), or run it inside Blender 5.x with --background --python. +""" +import os, sys +if "--" in sys.argv: # run inside Blender: blender -b --python this.py -- + sys.argv = sys.argv[:1] + sys.argv[sys.argv.index("--") + 1:] + +import bpy + +HERE = os.path.dirname(os.path.abspath(__file__)) +args = sys.argv[1:] +blend = os.path.abspath(args.pop(0)) +check = args == ["--check"] +bpy.ops.wm.open_mainfile(filepath=blend) +names = [t.name for t in bpy.data.texts if os.path.exists(os.path.join(HERE, t.name))] if check else args +changed = 0 +for name in names: + src = os.path.join(HERE, name) + new = open(src, encoding="utf-8").read() + t = bpy.data.texts.get(name) + old = t.as_string() if t else None + state = "missing in the .blend" if t is None else ("identical" if old == new else "DIFFERENT (%d -> %d chars)" % (len(old), len(new))) + print("%-28s %s" % (name, state)) + if not check and old != new: + t = t or bpy.data.texts.new(name) + t.clear(); t.write(new); changed += 1 +if not check and changed: + bpy.ops.wm.save_as_mainfile(filepath=blend) + print("saved", blend) diff --git a/third_party/UO_Model3D_v13/pipeline/targets.py b/third_party/UO_Model3D_v13/pipeline/targets.py new file mode 100644 index 0000000..91b8953 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/targets.py @@ -0,0 +1,33 @@ +import numpy as np +from vd import read_vd, ACTIONS_PEOPLE +from body import CANVAS_W, CANVAS_H, ANCHOR_X, ANCHOR_Y + +_cache = {} + + +def load(path="body400.vd"): + if path not in _cache: + _cache[path] = read_vd(path) + return _cache[path] + + +def frame_canvas(f): + """Place a decoded frame on the fixed canvas with its anchor at (ANCHOR_X, ANCHOR_Y).""" + rgba = np.zeros((CANVAS_H, CANVAS_W, 4), np.uint8) + x0 = ANCHOR_X - f["cx"] + y0 = ANCHOR_Y - (f["cy"] + f["h"]) + img = f["img"] + h, w = img.shape[:2] + sx0, sy0 = max(0, -x0), max(0, -y0) + ex, ey = min(w, CANVAS_W - x0), min(h, CANVAS_H - y0) + assert sx0 == 0 and sy0 == 0 and ex == w and ey == h, "frame exceeds canvas" + rgba[y0 + sy0:y0 + ey, x0 + sx0:x0 + ex] = img[sy0:ey, sx0:ex] + return rgba + + +def targets(action, frame=None, path="body400.vd"): + """Returns array (F,5,H,W,4) uint8 for all frames (or one) of an action.""" + _, _, anims = load(path) + n = len(anims[(action, 0)]) + idx = range(n) if frame is None else [frame] + return np.stack([[frame_canvas(anims[(action, d)][i]) for d in range(5)] for i in idx]) diff --git a/third_party/UO_Model3D_v13/pipeline/test_canvas.py b/third_party/UO_Model3D_v13/pipeline/test_canvas.py new file mode 100644 index 0000000..126e81c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_canvas.py @@ -0,0 +1,94 @@ +"""Regression test of the CANVAS / ANCHOR parameters of render_uo_layer.py. + +For every test case the frames are rendered with (a) the reference script (default: the version of commit ea55c0b, 136x120 with +anchor (68, 86) hard-wired), (b) the current script with CANVAS=(136,120) - must be pixel-identical to (a), and (c) the current +script on other canvases - inside the area of the original 136x120 frame (anchors aligned) they must have the same silhouette +and colours within 1 level of (a) (float rounding), and everywhere else the frame must be transparent (the test items fit into +the old canvas). (a) is the old script plus `dither_intensity = 0`: Blender's 8-bit dither is position dependent noise. + + python test_canvas.py [--blend ../model/UO_Body_0x190.blend] [--ref ref_render_uo_layer.py] [--tmp DIR] [--quick] +""" +import argparse, os, subprocess, sys, tempfile + +import numpy as np +from PIL import Image + +HERE = os.path.dirname(os.path.abspath(__file__)) +CASES = { # name: (settings, actions) + "clothing": ('LAYER="clothing"', ["04_stand", "25_mounted_stand", "09_attack_1h_slash"]), + "body_model": ('LAYER="body"; EXACT_BODY=False', ["04_stand", "25_mounted_stand"]), # atlas colours through UOX_* nodes + "body_exact": ('LAYER="body"; EXACT_BODY=True', ["04_stand", "00_walk_unarmed"]), + "all": ('LAYER="all"', ["04_stand", "25_mounted_stand"]), +} +CANVASES = [((136, 120), (68, 86)), ((256, 256), (128, 192)), ((200, 180), (90, 130)), ((100, 100), (40, 70))] + + +def render(blend, script, out, case, actions, canvas=None): + sets = dict(s.split("=", 1) for s in CASES[case][0].split("; ")) + sets["ONLY"] = repr(actions) + if "OWN_PARTS_NEVER_HIDE" in open(script).read(): # the reference (commit ea55c0b) has no such rule: switch it off, this test only checks the canvas + sets["OWN_PARTS_NEVER_HIDE"] = "False" + if canvas: + sets["CANVAS"], sets["ANCHOR"] = repr(canvas[0]), repr(canvas[1]) + cmd = [sys.executable, os.path.join(HERE, "run_render_headless.py"), blend, out, "--script", script] + ["%s=%s" % kv for kv in sets.items()] + r = subprocess.run(cmd, capture_output=True, text=True) + if r.returncode: + sys.exit("render failed (%s):\n%s\n%s" % (" ".join(cmd[-6:]), r.stdout[-1500:], r.stderr[-1500:])) + return os.path.join(out, sets["LAYER"].strip('"'), "frames") + + +def frames(root): + for dp, _, fs in sorted(os.walk(root)): + for f in sorted(fs): + if f.endswith(".png"): + yield os.path.relpath(os.path.join(dp, f), root), np.array(Image.open(os.path.join(dp, f)).convert("RGBA")) + + +def compare(ref_root, new_root, canvas): + (W, H), (ax, ay) = canvas + dx, dy = ax - 68, ay - 86 + ref = dict(frames(ref_root)); new = dict(frames(new_root)) + assert ref.keys() == new.keys(), "different frame lists" + bad_in = bad_out = 0 + for k, a in ref.items(): + b = new[k] + assert b.shape == (H, W, 4), (k, b.shape) + full = np.zeros_like(b) + y0, y1, x0, x1 = max(dy, 0), min(dy + 120, H), max(dx, 0), min(dx + 136, W) + full[y0:y1, x0:x1] = a[y0 - dy:y1 - dy, x0 - dx:x1 - dx] + inside = np.zeros((H, W), bool); inside[y0:y1, x0:x1] = True + diff = np.abs(b.astype(int) - full.astype(int)) + d = diff.max(-1) > (0 if (dx, dy) == (0, 0) and (W, H) == (136, 120) else 1) # identity canvas: exact; others: 1 level of float rounding + d |= diff[..., 3] > 0 # the silhouette must always be identical + bad_in += int((d & inside).sum()); bad_out += int((diff.max(-1) > 0)[~inside].sum()) + return len(ref), bad_in, bad_out + + +if __name__ == "__main__": + ap = argparse.ArgumentParser() + ap.add_argument("--blend", default=os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")) + ap.add_argument("--ref", help="reference script (default: render_uo_layer.py of commit ea55c0b from git)") + ap.add_argument("--tmp", default=None) + ap.add_argument("--quick", action="store_true", help="only 04_stand") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_canvas_") + os.makedirs(tmp, exist_ok=True) + blend = os.path.abspath(a.blend) + ref = a.ref or os.path.join(tmp, "ref_render_uo_layer.py") + if not a.ref: # the old script plus the one line that turns the position-dependent 8-bit dither off + old = subprocess.check_output(["git", "show", "ea55c0b:pipeline/render_uo_layer.py"], cwd=HERE).decode() + assert "sc.render.resolution_percentage = 100\n" in old + open(ref, "w").write(old.replace("sc.render.resolution_percentage = 100\n", "sc.render.resolution_percentage = 100\nsc.render.dither_intensity = 0.0\n", 1)) + fail = 0 + for case, (_, actions) in CASES.items(): + actions = actions[:1] if a.quick else actions + ref_root = render(blend, ref, os.path.join(tmp, "ref_" + case), case, actions) + for canvas in CANVASES: + root = render(blend, os.path.join(HERE, "render_uo_layer.py"), os.path.join(tmp, "%s_%dx%d" % ((case,) + canvas[0])), case, actions, canvas) + n, bi, bo = compare(ref_root, root, canvas) + ok = bi == 0 and bo == 0 + fail += not ok + print("%-11s canvas %-9s anchor %-10s %3d frames | px off inside the old area: %5d | outside: %5d | %s" % ( + case, "%dx%d" % canvas[0], canvas[1], n, bi, bo, "OK" if ok else "FAIL")) + print("output in", tmp) + sys.exit(1 if fail else 0) diff --git a/third_party/UO_Model3D_v13/pipeline/test_exact.py b/third_party/UO_Model3D_v13/pipeline/test_exact.py new file mode 100644 index 0000000..40b2eac --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_exact.py @@ -0,0 +1,23 @@ +"""Render one action with the exact modes and compare with the original frames.""" +import bpy, sys, os, numpy as np +from PIL import Image +arg = lambda k, d=None: sys.argv[sys.argv.index(k) + 1] if k in sys.argv else d +blend, out, action = arg("--blend"), os.path.abspath(arg("--out")), arg("--action") +layer, exb, exc = arg("--layer", "body"), arg("--exact-body", "0") == "1", arg("--exact-colors", "1") == "1" +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(blend)) +sc = bpy.context.scene; sc.render.engine = "CYCLES"; sc.cycles.device = "CPU"; sc.cycles.samples = 4 +src = bpy.data.texts["render_uo_layer.py"].as_string() +src = src.replace('LAYER = "clothing"', 'LAYER = %r' % layer).replace("ONLY = []", "ONLY = [%r]" % action) +src = src.replace("WRITE_VD = True", "WRITE_VD = False").replace('OUT_DIR = "//uo_render/"', "OUT_DIR = %r" % (out + "/")) +src = src.replace("EXACT_BODY = True", "EXACT_BODY = %r" % exb).replace("EXACT_COLORS = True", "EXACT_COLORS = %r" % exc) +exec(compile(src, "render_uo_layer.py", "exec")) +a = int(action[:2]) +for d in range(5): + fdir = os.path.join(out, layer, "frames", action, "dir%d" % d) + for fn in sorted(os.listdir(fdir)): + i = int(fn[:2]); r = np.array(Image.open(os.path.join(fdir, fn)).convert("RGBA")); o = original(a, i, d) + mr, mo = r[..., 3] > 0, o[..., 3] > 0 + both = mr & mo + same = (np.abs(r[..., :3].astype(int) - o[..., :3].astype(int)).max(-1) <= 8) & both + print(f"dir{d} f{i}: IoU {(both).sum()/max((mr|mo).sum(),1):.3f} missing {(mo&~mr).sum()} outside {(mr&~mo).sum()} " + f"colour equal on overlap {same.sum()/max(both.sum(),1):.3f}") diff --git a/third_party/UO_Model3D_v13/pipeline/test_import_item.py b/third_party/UO_Model3D_v13/pipeline/test_import_item.py new file mode 100644 index 0000000..eddfdc0 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_import_item.py @@ -0,0 +1,76 @@ +"""Test of uo_import_item.py with a stand-in for a foreign model: a body-hugging replica of a UO item (test_items.py) is made "foreign" (other size, +other place, Y-up glTF with the skeleton and weights of the UO rig still inside), saved as .glb, imported into a fresh UO_Body_0x190.blend by +uo_import_item.py, then fitted, bound and rendered; the result is compared with the sprite of the original item (test_real_item.py). + + python test_import_item.py [--item shirt] [--scale 1.15] [--offset 0.12,0.05,-0.20] [--turn 0] [--tmp DIR] +""" +import argparse, json, os, subprocess, sys, tempfile + +HERE = os.path.dirname(os.path.abspath(__file__)) +STAGE_A = r''' +import bpy, os, json, numpy as np +exec(open(os.path.join(os.environ["UO_TEST_SCRIPTS"], "test_items_pre.py")).read(), {"__name__": "__pre__", "bpy": bpy}) +item = bpy.context.view_layer.objects.active +rig = bpy.data.objects["UO_Rig"]; rig.data.pose_position = "REST" +s, off = float(os.environ["FOREIGN_SCALE"]), [float(x) for x in os.environ["FOREIGN_OFFSET"].split(",")] +bpy.context.view_layer.update() +for o in list(bpy.data.objects): # only the item and the rig go into the file + if o not in (item, rig): + bpy.data.objects.remove(o, do_unlink=True) +ref = np.array([item.matrix_world @ v.co for v in item.data.vertices]) +np.save(os.environ["FOREIGN_REF"], ref) +item.scale = (s, s, s); item.location = (np.array(item.location) * s + off) +bpy.context.view_layer.update() +bpy.ops.object.select_all(action="SELECT") +bpy.ops.export_scene.gltf(filepath=os.environ["FOREIGN_GLB"], use_selection=True, export_apply=False, export_skins=True) +print("stage A: foreign glb written") +''' +STAGE_B = r''' +import bpy, os, sys, re, numpy as np +bpy.context.view_layer.objects.active = None +rig = bpy.data.objects["UO_Rig"]; rig.data.pose_position = "REST" +for o in [o for o in bpy.data.collections["Clothing"].all_objects]: + bpy.data.objects.remove(o, do_unlink=True) +def run(script, **over): + text = open(os.path.join(os.environ["UO_TEST_SCRIPTS"], script)).read() + for k, v in over.items(): + text, n = re.subn(r"^%s\s*=.*$" % k, "%s = %r" % (k, v), text, count=1, flags=re.M) + assert n == 1, (script, k) + exec(compile(text, script, "exec"), {"__name__": "__main__"}) +run("uo_import_item.py", FILE=os.environ["FOREIGN_GLB"], KIND=os.environ["FOREIGN_KIND"], TURN=int(os.environ["FOREIGN_TURN"])) +item = bpy.context.view_layer.objects.active +got = np.array([item.matrix_world @ v.co for v in item.data.vertices]); ref = np.load(os.environ["FOREIGN_REF"]) +print("RESULT bbox ref min", ref.min(0).round(3), "max", ref.max(0).round(3)) +print("RESULT bbox got min", got.min(0).round(3), "max", got.max(0).round(3)) +run("uo_materials.py") +run("uo_fit_item.py") +run("uo_bind_item.py", PART=os.environ["FOREIGN_PART"]) +bpy.ops.wm.save_as_mainfile(filepath=os.environ["FOREIGN_OUT"]) +''' +if __name__ == "__main__": + ap = argparse.ArgumentParser() + ap.add_argument("--item", default="shirt"); ap.add_argument("--scale", default="1.15"); ap.add_argument("--offset", default="0.12,0.05,-0.20") + ap.add_argument("--turn", default="0"); ap.add_argument("--skip", default="icosphere"); ap.add_argument("--tmp"); ap.add_argument("--render", action="store_true") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_import_") + os.makedirs(tmp, exist_ok=True) + sys.path.insert(0, HERE) + import test_items as ti + spec = os.path.join(tmp, "spec.json"); json.dump(ti.ITEMS, open(spec, "w")) + blend = os.path.abspath(os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")) + sa, sb = os.path.join(tmp, "stage_a.py"), os.path.join(tmp, "stage_b.py") + open(sa, "w").write(STAGE_A); open(sb, "w").write(STAGE_B) + kind = a.item + env = dict(os.environ, UO_TEST_SPEC=spec, UO_TEST_ITEM=a.item, UO_TEST_FIT="0", UO_TEST_SCRIPTS=HERE, FOREIGN_SCALE=a.scale, FOREIGN_OFFSET=a.offset, + FOREIGN_REF=os.path.join(tmp, "ref.npy"), FOREIGN_GLB=os.path.join(tmp, "foreign.glb"), FOREIGN_KIND=kind, FOREIGN_TURN=a.turn, + FOREIGN_PART=ti.ITEMS[a.item]["part"], UO_IMPORT_SKIP=a.skip, FOREIGN_OUT=os.path.join(tmp, "imported.blend")) + for stage in (sa, sb): + r = subprocess.run([sys.executable, os.path.join(HERE, "run_script_in_blend.py"), blend, stage], capture_output=True, text=True, env=env) + print("\n".join(l for l in r.stdout.splitlines() if l.startswith(("RESULT", "uo_import_item", "uo_materials", "uo_fit", "uo_bind", "stage", " ")))) + if r.returncode: + sys.exit("%s failed:\n%s\n%s" % (stage, r.stdout[-2500:], r.stderr[-2500:])) + if a.render: + r = subprocess.run([sys.executable, os.path.join(HERE, "test_real_item.py"), "--blend", env["FOREIGN_OUT"], "--anim", str(ti.ITEMS[a.item]["anim"]), + "--tmp", os.path.join(tmp, "render"), "--img", os.path.join(tmp, "overlay.png")], capture_output=True, text=True) + print(r.stdout[-800:], r.stderr[-800:] if r.returncode else "") + print("output in", tmp) diff --git a/third_party/UO_Model3D_v13/pipeline/test_items.py b/third_party/UO_Model3D_v13/pipeline/test_items.py new file mode 100644 index 0000000..5c7093b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_items.py @@ -0,0 +1,134 @@ +"""Item-level QA: replicas of real UO items rendered with the whole pipeline (uo_bind_item + render_uo_layer) and compared +with the original sprites from the client. + + python test_items.py [--items shirt,pants,plate,gloves,boots,helm] [--actions 04_stand,09_attack_1h_slash,...|--all] + [--fit] [--tmp DIR] [--out qa.json] [--img overlay.png] [--canvas 256,256 --anchor 128,192] + +The replica of an item is the skin of the body it covers, moved out by the item's thickness (body-hugging shell), so the numbers +measure the model + the render pipeline (occlusion by the body, EXACT_BODY cut, holes, specks, palette), not the 3D modelling of an +item. Sprites: pipeline/body13/mul/anim_NNNN.vd (the Nelderim client, same bytes as anim.mul). Per item and frame: + iou overlap of the rendered item with the sprite + outside rendered pixels the sprite does not have missing sprite pixels the render does not have + strip part of `missing` that touches the render (<= 1 px: the 1-px skin strips along the edges of tight items) + pieces detached pieces of the render (specks) clipped frames where the render touches the canvas border + colors most colours (RGB555) in one action/direction block; > 256 means the palette is reduced +""" +import argparse, json, os, subprocess, sys, tempfile, time + +import numpy as np +from PIL import Image +from scipy import ndimage + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "body13")) +from itemframes import canvas as sprite_canvas, load as load_sprites # noqa: E402 + +ITEMS = { # name: sprite id, bones covered, thickness m, cut (bone, keep from t0 along it), zrange (rest-pose height m), uo_bind_item PART + # zrange comes from the sprites: lowest/highest row of the item in 04_stand (mean of 5 directions) -> z = -row / (36 cos 28.4557) + 0.07 + "shirt": dict(anim=434, parts=["pelvis", "spine", "chest", "clavicle", "upper_arm", "neck"], thickness=0.012, cut=None, cut_far=["upper_arm", 0.4], zrange=[1.03, 9], part="chest"), + "plate": dict(anim=527, parts=["pelvis", "spine", "chest", "clavicle", "neck", "thigh"], thickness=0.03, cut=None, zrange=[0.68, 9], part="chest"), + "arms": dict(anim=528, parts=["upper_arm", "forearm", "clavicle"], thickness=0.025, cut=None, part="arms"), + "pants": dict(anim=431, parts=["pelvis", "thigh", "shin"], thickness=0.012, cut=None, zrange=[-9, 1.17], part="legs"), + "legs": dict(anim=529, parts=["pelvis", "thigh", "shin"], thickness=0.03, cut=None, zrange=[-9, 1.14], part="legs"), + "boots": dict(anim=477, parts=["shin", "foot"], thickness=0.015, cut=None, zrange=[-9, 0.56], part="boots"), + "gloves": dict(anim=530, parts=["hand", "forearm"], thickness=0.03, cut=["forearm", 0.4], part="gloves"), + # loose items: the template of the body file (chains of the cloth, fitted to the original frames) stands for the item; no cloth bake + "skirt": dict(anim=449, template="UO_Template_Skirt", part="skirt"), + "cloak": dict(anim=468, template="UO_Template_Cloak", part="cloak"), + "helm": dict(anim=563, parts=["head"], thickness=0.02, cut=None, part="helm"), +} +DEFAULT_ITEMS = "shirt,plate,pants,boots,gloves,helm" +DEFAULT_ACTIONS = "04_stand,00_walk_unarmed,09_attack_1h_slash,16_spell_directed,21_die_forward,25_mounted_stand" + + +def render(blend, out, item, actions, canvas, anchor, fit, spec_path, extra=()): + env = dict(os.environ, UO_TEST_SPEC=spec_path, UO_TEST_ITEM=item, UO_TEST_FIT="1" if fit else "0", UO_TEST_SCRIPTS=HERE) + cmd = [sys.executable, os.path.join(HERE, "run_render_headless.py"), blend, out, "--pre", os.path.join(HERE, "test_items_pre.py"), + 'LAYER="clothing"', "ONLY=%r" % (actions,), "CANVAS=%r" % (canvas,), "ANCHOR=%r" % (anchor,)] + list(extra) + r = subprocess.run(cmd, capture_output=True, text=True, env=env) + if r.returncode: + sys.exit("render of %s failed:\n%s\n%s" % (item, r.stdout[-2000:], r.stderr[-2000:])) + return os.path.join(out, "clothing", "frames") + + +def measure(frames_root, item, canvas, anchor, img_frames): + spr = load_sprites(ITEMS[item]["anim"]) + rows, blocks, imgs = [], {}, [] + st = ndimage.generate_binary_structure(2, 2) + for act in sorted(os.listdir(frames_root)): + a = int(act[:2]) + for d in range(5): + fdir = os.path.join(frames_root, act, "dir%d" % d) + colors = set() + for fn in sorted(os.listdir(fdir)): + i = int(fn[:2]) + R = np.array(Image.open(os.path.join(fdir, fn)).convert("RGBA")) + G = sprite_canvas(spr.get((a, d)), i, anchor, canvas) + r, g = R[..., 3] > 0, G[..., 3] > 0 + m = R[..., 3] > 0 + c15 = ((R[..., 0].astype(int) * 31 + 127) // 255 << 10) | ((R[..., 1].astype(int) * 31 + 127) // 255 << 5) | ((R[..., 2].astype(int) * 31 + 127) // 255) + colors |= set(np.unique(c15[m]).tolist()) + if not g.any(): + continue + miss = g & ~r + near = ndimage.binary_dilation(r, st, iterations=1) + lab, n = ndimage.label(r, structure=st) + rows.append(dict(a=a, i=i, d=d, iou=(r & g).sum() / max((r | g).sum(), 1), outside=int((r & ~g).sum()), missing=int(miss.sum()), + strip=int((miss & near).sum()), pieces=int(n), clipped=bool(r[0].any() or r[-1].any() or r[:, 0].any() or r[:, -1].any()), + sprite_px=int(g.sum()))) + if (act, i, d) in img_frames: + im = np.zeros(r.shape + (3,), np.uint8) + 25 + im[r & g] = (190, 190, 190); im[r & ~g] = (230, 60, 60); im[g & ~r] = (60, 120, 255) + imgs.append(im) + blocks[(a, d)] = len(colors) + return rows, blocks, imgs + + +def summarize(rows, blocks): + f = lambda k: float(np.mean([r[k] for r in rows])) if rows else 0.0 + return dict(frames=len(rows), iou=f("iou"), outside=f("outside"), missing=f("missing"), strip=f("strip"), + pieces=f("pieces"), clipped=int(sum(r["clipped"] for r in rows)), + colors_max=max(blocks.values()) if blocks else 0, blocks_over_256=int(sum(v > 256 for v in blocks.values())), + by_action={str(a): float(np.mean([r["iou"] for r in rows if r["a"] == a])) for a in sorted({r["a"] for r in rows})}) + + +if __name__ == "__main__": + ap = argparse.ArgumentParser() + ap.add_argument("--blend", default=os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")) + ap.add_argument("--items", default=DEFAULT_ITEMS) + ap.add_argument("--actions", default=DEFAULT_ACTIONS) + ap.add_argument("--all", action="store_true", help="all 35 actions (about 10x slower)") + ap.add_argument("--fit", action="store_true", help="also run uo_fit_item.py before uo_bind_item.py") + ap.add_argument("--canvas", default="256,256"); ap.add_argument("--anchor", default="128,192") + ap.add_argument("--tmp"); ap.add_argument("--out"); ap.add_argument("--img") + ap.add_argument("--set", action="append", default=[], metavar="NAME=VALUE", help="extra render_uo_layer.py setting, e.g. --set HOLDOUT_MARGIN=0.05 (repeatable)") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_items_") + os.makedirs(tmp, exist_ok=True) + canvas, anchor = tuple(int(x) for x in a.canvas.split(",")), tuple(int(x) for x in a.anchor.split(",")) + spec_path = os.path.join(tmp, "spec.json"); json.dump(ITEMS, open(spec_path, "w")) + actions = [] if a.all else a.actions.split(",") + show = {("04_stand", 0, 0), ("09_attack_1h_slash", 3, 1), ("16_spell_directed", 3, 0), ("21_die_forward", 3, 2), ("00_walk_unarmed", 3, 1)} + res, panels = {}, [] + print("%-7s %6s %6s %8s %8s %6s %6s %7s %7s | %s" % ("item", "frames", "IoU", "outside", "missing", "strip", "pieces", "clipped", "colors", "IoU per action")) + for item in a.items.split(","): + t0 = time.time() + root = render(os.path.abspath(a.blend), os.path.join(tmp, item), item, actions, canvas, anchor, a.fit, spec_path, a.set) + rows, blocks, imgs = measure(root, item, canvas, anchor, show) + res[item] = s = summarize(rows, blocks) + print("%-7s %6d %6.3f %8.1f %8.1f %6.1f %6.2f %7d %7d | %s (%.0fs)" % ( + item, s["frames"], s["iou"], s["outside"], s["missing"], s["strip"], s["pieces"], s["clipped"], s["colors_max"], + " ".join("%s:%.2f" % (k, v) for k, v in s["by_action"].items()), time.time() - t0), flush=True) + if imgs: + panels.append(np.concatenate([np.pad(im[max(anchor[1] - 90, 0):anchor[1] + 36, max(anchor[0] - 45, 0):anchor[0] + 45], + ((1, 1), (1, 1), (0, 0)), constant_values=90) for im in imgs], 1)) + mean_iou = float(np.mean([v["iou"] for v in res.values()])) if res else 0.0 + print("mean IoU over items: %.3f" % mean_iou) + if a.out: + os.makedirs(os.path.dirname(os.path.abspath(a.out)), exist_ok=True) + json.dump(dict(canvas=canvas, anchor=anchor, actions=actions or "all", fit=a.fit, items=res, mean_iou=mean_iou), open(a.out, "w"), indent=1) + if a.img and panels: + w = max(p.shape[1] for p in panels) + big = np.concatenate([np.pad(p, ((0, 0), (0, w - p.shape[1]), (0, 0))) for p in panels], 0) + Image.fromarray(big).resize((big.shape[1] * 2, big.shape[0] * 2), Image.NEAREST).save(a.img) + print("output in", tmp) diff --git a/third_party/UO_Model3D_v13/pipeline/test_items_pre.py b/third_party/UO_Model3D_v13/pipeline/test_items_pre.py new file mode 100644 index 0000000..0b83dc3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_items_pre.py @@ -0,0 +1,99 @@ +"""Runs inside bpy (run_render_headless.py --pre): builds a body-hugging replica of one UO item and binds it with uo_bind_item.py. + +The replica is the part of the UO_Body skin that the real item covers (vertices whose dominant bone is in `parts`, optionally +cut along a limb bone), moved out along the vertex normals by `thickness` metres. It replaces everything in the Clothing +collection. Settings come from the environment: UO_TEST_SPEC (json file with the item table of test_items.py), UO_TEST_ITEM, +UO_TEST_FIT (1 = also run uo_fit_item.py), UO_TEST_SCRIPTS (folder with uo_bind_item.py / uo_fit_item.py). +""" +import json, os, re + +import bmesh +import numpy as np + +spec = json.load(open(os.environ["UO_TEST_SPEC"]))[os.environ["UO_TEST_ITEM"]] +if "UO_TEST_THICK" in os.environ: # experiment: another thickness of the replica + spec = dict(spec, thickness=float(os.environ["UO_TEST_THICK"])) +scripts = os.environ["UO_TEST_SCRIPTS"] +body, rig = bpy.data.objects["UO_Body"], bpy.data.objects["UO_Rig"] +me = body.data +assert np.allclose(body.scale, 1.0), "UO_Body is scaled" + +SUB = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} + + +def base_of(n): + s = n[-2:] if n.endswith((".L", ".R")) else "" + b = n[:-2] if s else n + return ("hand" if b.startswith("finger") else SUB.get(b, b)), s + + +groups = [base_of(g.name) for g in body.vertex_groups] +dom = [groups[max(v.groups, key=lambda g: g.weight).group] if v.groups else ("", "") for v in me.vertices] +keep = np.array([d[0] in spec.get("parts", []) for d in dom]) +co = np.empty(len(me.vertices) * 3); me.vertices.foreach_get("co", co); co = co.reshape(-1, 3) +nrm = np.empty_like(co); me.vertices.foreach_get("normal", nrm.ravel()) +if spec.get("cut"): # drop the near end of a limb bone: boots start up the shin, gloves on the forearm + bname, t0 = spec["cut"] + child = {"shin": "foot", "forearm": "hand"}[bname] + M = np.array(rig.matrix_world.inverted() @ body.matrix_world) + ca = co @ M[:3, :3].T + M[:3, 3] + for s in (".L", ".R"): + h = np.array(rig.data.bones[bname + s].head_local); ax = np.array(rig.data.bones[child + s].head_local) - h + L = np.linalg.norm(ax); t = ((ca - h) @ (ax / L)) / L + keep &= ~(np.array([d == (bname, s) for d in dom]) & (t < t0)) + +if spec.get("zrange"): # height cut in the rest pose (world z), measured from the sprite extent + z = (co @ np.array(body.matrix_world)[:3, :3].T + np.array(body.matrix_world)[:3, 3])[:, 2] + keep &= (z >= spec["zrange"][0]) & (z <= spec["zrange"][1]) + +if spec.get("cut_far"): # drop the far end of a limb bone (short sleeves): keep t <= t1 + bname, t1 = spec["cut_far"] + child = {"upper_arm": "forearm", "thigh": "shin"}[bname] + M = np.array(rig.matrix_world.inverted() @ body.matrix_world) + ca = co @ M[:3, :3].T + M[:3, 3] + for s_ in (".L", ".R"): + h = np.array(rig.data.bones[bname + s_].head_local); ax = np.array(rig.data.bones[child + s_].head_local) - h + L = np.linalg.norm(ax); t = ((ca - h) @ (ax / L)) / L + keep &= ~(np.array([d == (bname, s_) for d in dom]) & (t > t1)) + +bm = bmesh.new(); bm.from_mesh(me); bm.verts.ensure_lookup_table() +if spec.get("template"): # loose items: the cloth template of the body file stands for the item (skirt, cloak) + tpl = bpy.data.objects[spec["template"]] + bm.free(); bm = bmesh.new(); bm.from_mesh(tpl.data); bm.verts.ensure_lookup_table() + keep = np.ones(len(bm.verts), bool) + nrm = np.zeros((len(bm.verts), 3)) + spec = dict(spec, thickness=spec.get("thickness", 0.0)) +for v in bm.verts: + v.co += type(v.co)(nrm[v.index] * spec["thickness"]) +for lay in list(bm.verts.layers.deform): # the replica must not inherit the body's group indices: uo_bind_item makes its own groups + bm.verts.layers.deform.remove(lay) +bmesh.ops.delete(bm, geom=[v for v in bm.verts if not keep[v.index]], context="VERTS") +item_me = bpy.data.meshes.new("test_" + os.environ["UO_TEST_ITEM"]); bm.to_mesh(item_me); bm.free() +item = bpy.data.objects.new(item_me.name, item_me); item.matrix_world = (bpy.data.objects[spec["template"]].matrix_world if spec.get("template") else body.matrix_world).copy() + +clo = bpy.data.collections["Clothing"] +shirt = bpy.data.objects.get("Example_Shirt") +if shirt is not None: + item_me.materials.append(shirt.active_material) # the UO look; colours do not matter for the silhouette tests +for o in list(clo.all_objects): + for c in [c for c in bpy.data.collections if o.name in c.objects]: + c.objects.unlink(o) +clo.objects.link(item) +bpy.context.view_layer.update() +for o in bpy.context.view_layer.objects: + o.select_set(False) +item.select_set(True); bpy.context.view_layer.objects.active = item + + +def run(script, **over): + text = open(os.path.join(scripts, script)).read() + for k, v in over.items(): + text, n = re.subn(r"^%s\s*=.*$" % k, "%s = %r" % (k, v), text, count=1, flags=re.M) + assert n == 1, (script, k) + exec(compile(text, script, "exec"), {"__name__": "__main__"}) + + +if os.environ.get("UO_TEST_FIT") == "1": + run("uo_fit_item.py", KIND=os.environ["UO_TEST_ITEM"], **({"MIN_GAP": float(os.environ["UO_TEST_MIN_GAP"])} if "UO_TEST_MIN_GAP" in os.environ else {})) +run("uo_bind_item.py", PART=spec["part"]) +print("test_items_pre: %s -> %d vertices, %d faces, PART=%s" % (item.name, len(item_me.vertices), len(item_me.polygons), spec["part"])) diff --git a/third_party/UO_Model3D_v13/pipeline/test_materials.py b/third_party/UO_Model3D_v13/pipeline/test_materials.py new file mode 100644 index 0000000..750d7aa --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_materials.py @@ -0,0 +1,101 @@ +"""Test of uo_materials.py: a sphere in front of the chest with a foreign PBR material (metallic, rough, image texture) is converted to the UO look and +rendered (Cycles, 04_stand); it must come out exactly as the same sphere with the plain UO_Look material of the same albedo (flat colour case), keep the +texture (checker case), and cut out transparent texels (alpha case). + + python test_materials.py [--tmp DIR] +""" +import argparse, os, subprocess, sys, tempfile + +import numpy as np + +HERE = os.path.dirname(os.path.abspath(__file__)) +PRE = r''' +import bpy, os, numpy as np +V = os.environ["MAT_VARIANT"] +col = (0.55, 0.30, 0.12, 1.0) +bpy.ops.mesh.primitive_uv_sphere_add(radius=0.18, location=(0, -0.05, 1.35), segments=32, ring_count=16) +ob = bpy.context.active_object; ob.name = "T_" + V +for p in ob.data.polygons: p.use_smooth = True +clo = bpy.data.collections["Clothing"] +for o in list(clo.all_objects): bpy.data.objects.remove(o, do_unlink=True) +for c in list(ob.users_collection): c.objects.unlink(ob) +clo.objects.link(ob) +ng = bpy.data.node_groups["UO_Look"] +mat = bpy.data.materials.new("M_" + V); mat.use_nodes = True +nt = mat.node_tree +if V == "ref": + nt.nodes.clear() + o = nt.nodes.new("ShaderNodeOutputMaterial"); g = nt.nodes.new("ShaderNodeGroup"); g.node_tree = ng + g.inputs["Albedo"].default_value = col; nt.links.new(g.outputs["Shader"], o.inputs["Surface"]) +else: + b = next(n for n in nt.nodes if n.type == "BSDF_PRINCIPLED") + b.inputs["Metallic"].default_value = 1.0 if V in ("raw", "metal") else 0.0; b.inputs["Roughness"].default_value = 0.15 + if V in ("flat", "raw", "metal"): + img = bpy.data.images.new("t", 8, 8, alpha=True); img.colorspace_settings.name = "Non-Color"; px = np.tile(np.array(col, np.float32), 64); img.pixels.foreach_set(px) + elif V == "checker": + img = bpy.data.images.new("t", 64, 64, alpha=True); img.colorspace_settings.name = "Non-Color"; a = np.zeros((64, 64, 4), np.float32); a[..., 3] = 1 + a[...] = (0.8, 0.2, 0.2, 1); a[(np.arange(64)[:, None] // 8 + np.arange(64)[None] // 8) % 2 == 0] = (0.2, 0.3, 0.8, 1); img.pixels.foreach_set(a.ravel()) + elif V == "alpha": + img = bpy.data.images.new("t", 64, 64, alpha=True); img.colorspace_settings.name = "Non-Color"; a = np.zeros((64, 64, 4), np.float32); a[...] = col; a[:, :, 3] = (np.arange(64)[None] // 16 % 2) + img.pixels.foreach_set(a.ravel()) + tx = nt.nodes.new("ShaderNodeTexImage"); tx.image = img; tx.interpolation = "Closest" + nt.links.new(tx.outputs["Color"], b.inputs["Base Color"]) + if V == "alpha": nt.links.new(tx.outputs["Alpha"], b.inputs["Alpha"]) +ob.data.materials.append(mat) +bpy.ops.object.select_all(action="DESELECT"); ob.select_set(True); bpy.context.view_layer.objects.active = ob +if V not in ("ref", "raw"): # raw = the foreign material as it came (the "before" measurement) + text = open(os.path.join(os.environ["MAT_SCRIPTS"], "uo_materials.py")).read() + exec(compile(text, "uo_materials.py", "exec"), {"__name__": "__main__"}) +''' + + +def render(variant, tmp): + pre = os.path.join(tmp, "pre.py"); open(pre, "w").write(PRE) + out = os.path.join(tmp, variant) + env = dict(os.environ, MAT_VARIANT=variant, MAT_SCRIPTS=HERE) + r = subprocess.run([sys.executable, os.path.join(HERE, "run_render_headless.py"), os.path.join(HERE, "..", "model", "UO_Body_0x190.blend"), out, "--pre", pre, + 'LAYER="clothing"', 'ONLY=["04_stand"]'], capture_output=True, text=True, env=env) + for l in r.stdout.splitlines(): + if l.startswith(("uo_materials", " ")): + print(l) + if r.returncode: + sys.exit("render failed:\n%s\n%s" % (r.stdout[-1500:], r.stderr[-1500:])) + from PIL import Image + d = os.path.join(out, "clothing", "frames") + fs = sorted(os.path.join(dp, f) for dp, _, fn in os.walk(d) for f in fn if f.endswith(".png")) + return [np.array(Image.open(f).convert("RGBA")) for f in fs] + + +if __name__ == "__main__": + ap = argparse.ArgumentParser(); ap.add_argument("--tmp"); a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_mat_") + os.makedirs(tmp, exist_ok=True) + res = {v: render(v, tmp) for v in ("ref", "raw", "flat", "metal", "checker", "alpha")} + ok = True + for v, fr in res.items(): + print("%-8s frames %d, opaque px %d, colours %d" % (v, len(fr), sum(int((f[..., 3] > 0).sum()) for f in fr), len({tuple(p) for f in fr for p in f[f[..., 3] > 0][:, :3]}))) + ref = res["ref"] + d = max(int(np.abs(f.astype(int) - g.astype(int)).max()) for f, g in zip(ref, res["flat"])) if len(ref) == len(res["flat"]) else 999 + dr = np.mean([np.abs(f.astype(int) - g.astype(int))[f[..., 3] > 0].mean() for f, g in zip(ref, res["raw"])]) + print("before (raw foreign PBR material vs UO look): mean channel difference %.1f of 255" % dr) + print("flat vs ref: max channel difference %d (0 = identical)" % d); ok &= d <= 1 + # metal: the highlight SPEC_STRENGTH * c^SPEC_POWER (linear) on top of the matte render, c = N.L recovered from the matte render of the same sphere + from scipy import ndimage + dec = lambda v: np.where(v <= 0.04045, v / 12.92, ((v + 0.055) / 1.055) ** 2.4) + enc = lambda l: np.where(l <= 0.0031308, l * 12.92, 1.055 * np.power(np.maximum(l, 0), 1 / 2.4) - 0.055) + err, gain = 0, 0 + for f, m in zip(res["flat"], res["metal"]): + sel = ndimage.binary_erosion(f[..., 3] > 0, iterations=2) + if not sel.any(): + continue + lin = dec(f[..., 0].astype(float) / 255)[sel] + c = np.clip((lin / 0.55 - 0.0798) / 0.9202, 0, 1) + pred = 255 * enc(lin + 1.0 * 0.55 * c ** 16) + err = max(err, float(np.abs(pred - m[..., 0][sel]).max())); gain = max(gain, float((m[..., 0][sel].astype(float) - f[..., 0][sel]).max())) + print("metal: highlight adds up to %.0f/255; prediction (1.0 * albedo * c^16) off by at most %.1f" % (gain, err)); ok &= gain > 40 and err <= 12 # c comes from an 8-bit render and is raised to the 16th power: a few levels of quantisation noise + nref = len({tuple(p) for f in ref for p in f[f[..., 3] > 0][:, :3]}); nchk = len({tuple(p) for f in res["checker"] for p in f[f[..., 3] > 0][:, :3]}) + print("checker: %d colours vs %d for the flat sphere" % (nchk, nref)); ok &= nchk > nref + areas = {v: sum(int((f[..., 3] > 0).sum()) for f in res[v]) for v in res} + print("alpha sphere area %.2f of the flat one" % (areas["alpha"] / areas["flat"])); ok &= 0.2 < areas["alpha"] / areas["flat"] < 0.95 # the inside of the far half shows through the cut-out + print("RESULT", "OK" if ok else "FAIL") + print("output in", tmp) diff --git a/third_party/UO_Model3D_v13/pipeline/test_real_item.py b/third_party/UO_Model3D_v13/pipeline/test_real_item.py new file mode 100644 index 0000000..18798f1 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_real_item.py @@ -0,0 +1,42 @@ +"""QA of a REAL item already bound in the .blend (collection Clothing, e.g. Example_Shirt) against the original sprite of the item it imitates. + + python test_real_item.py --anim 434 [--actions 04_stand,...] [--tmp DIR] [--out qa.json] [--img overlay.png] [--set NAME=VALUE] +Same metrics as test_items.py (IoU, outside, missing, strips, specks, colours), but no replica is built: the render of the Clothing collection is used +as it is. Sprites come from pipeline/body13/mul/anim_NNNN.vd (same bytes as the client). +""" +import argparse, json, os, subprocess, sys, tempfile + +import numpy as np +from PIL import Image + +import test_items as ti + +if __name__ == "__main__": + ap = argparse.ArgumentParser() + ap.add_argument("--blend", default=os.path.join(ti.HERE, "..", "model", "UO_Body_0x190.blend")) + ap.add_argument("--anim", type=int, required=True) + ap.add_argument("--actions", default=ti.DEFAULT_ACTIONS) + ap.add_argument("--canvas", default="256,256"); ap.add_argument("--anchor", default="128,192") + ap.add_argument("--tmp"); ap.add_argument("--out"); ap.add_argument("--img") + ap.add_argument("--set", action="append", default=[]) + a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_real_") + canvas, anchor = tuple(int(x) for x in a.canvas.split(",")), tuple(int(x) for x in a.anchor.split(",")) + actions = a.actions.split(",") + cmd = [sys.executable, os.path.join(ti.HERE, "run_render_headless.py"), os.path.abspath(a.blend), tmp, 'LAYER="clothing"', "ONLY=%r" % (actions,), + "CANVAS=%r" % (canvas,), "ANCHOR=%r" % (anchor,)] + a.set + r = subprocess.run(cmd, capture_output=True, text=True) + if r.returncode: + sys.exit("render failed:\n%s\n%s" % (r.stdout[-2000:], r.stderr[-2000:])) + ti.ITEMS["real"] = dict(anim=a.anim) + show = {("04_stand", 0, 0), ("09_attack_1h_slash", 3, 1), ("16_spell_directed", 3, 0), ("21_die_forward", 3, 2), ("00_walk_unarmed", 3, 1)} + rows, blocks, imgs = ti.measure(os.path.join(tmp, "clothing", "frames"), "real", canvas, anchor, show) + s = ti.summarize(rows, blocks) + print("anim %d: frames %d IoU %.3f outside %.1f missing %.1f strip %.1f pieces %.2f clipped %d colors %d | %s" % ( + a.anim, s["frames"], s["iou"], s["outside"], s["missing"], s["strip"], s["pieces"], s["clipped"], s["colors_max"], + " ".join("%s:%.2f" % (k, v) for k, v in s["by_action"].items()))) + if a.out: + json.dump(dict(anim=a.anim, canvas=canvas, anchor=anchor, actions=actions, result=s), open(a.out, "w"), indent=1) + if a.img and imgs: + im = np.concatenate([np.pad(i[max(anchor[1] - 90, 0):anchor[1] + 36, max(anchor[0] - 45, 0):anchor[0] + 45], ((1, 1), (1, 1), (0, 0)), constant_values=90) for i in imgs], 1) + Image.fromarray(im).resize((im.shape[1] * 2, im.shape[0] * 2), Image.NEAREST).save(a.img) diff --git a/third_party/UO_Model3D_v13/pipeline/test_tall_item.py b/third_party/UO_Model3D_v13/pipeline/test_tall_item.py new file mode 100644 index 0000000..c8a00fe --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_tall_item.py @@ -0,0 +1,50 @@ +"""A 3.5 m tall pole next to the body: cut by the old 136x120 canvas, whole on 256x256 / (128, 192). + + python test_tall_item.py [--blend ../model/UO_Body_0x190.blend] [--tmp DIR] +Adds the pole (not bound to the rig) to the Clothing collection through run_render_headless.py --pre, renders 04_stand +and checks the top of the pole in the frames and in the .vd written for the canvas. +""" +import argparse, os, subprocess, sys, tempfile +import numpy as np +from PIL import Image + +HERE = os.path.dirname(os.path.abspath(__file__)) +PRE = ''' +import bmesh +me = bpy.data.meshes.new("test_pole"); bm = bmesh.new() +bmesh.ops.create_cone(bm, cap_ends=True, segments=12, radius1=0.03, radius2=0.03, depth=3.5, matrix=__import__("mathutils").Matrix.Translation((0.5, -0.3, 1.75))) +bm.to_mesh(me); bm.free() +ob = bpy.data.objects.new("test_pole", me) +for o in bpy.data.collections["Clothing"].all_objects: + o.hide_render = True +bpy.data.collections["Clothing"].objects.link(ob) +''' + + +def run(blend, out, canvas, anchor, pre): + cmd = [sys.executable, os.path.join(HERE, "run_render_headless.py"), blend, out, "--pre", pre, 'LAYER="clothing"', 'ONLY=["04_stand"]', + "CANVAS=%r" % (canvas,), "ANCHOR=%r" % (anchor,), "BODY_GAP=0", "EXACT_BODY=False"] + r = subprocess.run(cmd, capture_output=True, text=True) + if r.returncode: + sys.exit("render failed:\n" + r.stdout[-1500:] + r.stderr[-1500:]) + return np.array(Image.open(os.path.join(out, "clothing", "frames", "04_stand", "dir0", "00.png")).convert("RGBA")) + + +if __name__ == "__main__": + ap = argparse.ArgumentParser() + ap.add_argument("--blend", default=os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")) + ap.add_argument("--tmp") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp) if a.tmp else tempfile.mkdtemp(prefix="test_tall_") + os.makedirs(tmp, exist_ok=True) + pre = os.path.join(tmp, "pre.py"); open(pre, "w").write(PRE) + old = run(os.path.abspath(a.blend), os.path.join(tmp, "old"), (136, 120), (68, 86), pre) + new = run(os.path.abspath(a.blend), os.path.join(tmp, "new"), (256, 256), (128, 192), pre) + rows = lambda im: np.nonzero(im[..., 3] > 0)[0] + o_top, n_top = rows(old).min(), rows(new).min() + n_up = 192 - n_top # rows above the anchor row + th = np.radians(28.4557) # camera elevation; the pole stands 0.3 m towards the camera, radius 3 cm + exp_px = ((3.5 - 0.07) * np.cos(th) + (-0.3 + 0.03) * np.sin(th)) * 36 + print("old canvas: topmost pole row %d (0 = cut by the canvas) | 256x256: top at row %d = %d px above the anchor, expected ~%.0f" % (o_top, n_top, n_up, exp_px)) + ok = o_top == 0 and n_top > 0 and abs(n_up - exp_px) < 3 + print("OK" if ok else "FAIL"); sys.exit(0 if ok else 1) diff --git a/third_party/UO_Model3D_v13/pipeline/test_weapon_roll.py b/third_party/UO_Model3D_v13/pipeline/test_weapon_roll.py new file mode 100644 index 0000000..427cdb4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_weapon_roll.py @@ -0,0 +1,95 @@ +"""Roll QA: a flat plate shaped like the head of an original weapon (learned from its sprites by weapon_roll_fit.py), bound to the class weapon bone and +rendered through the whole pipeline (uo_bind_item + render_uo_layer) against the original weapon sprite, with the roll of the class per pose (mode class) +or one fixed roll (mode const) or no roll at all (mode none). + + python test_weapon_roll.py --anim 613 --roll ROLLDIR --vd VDDIR/anim [--mode class|const|none] [--actions 04_stand,...] [--tmp DIR] [--out qa.json] + +ROLLDIR holds roll_.json and cells_.npy (weapon_roll_fit.py). Per frame: IoU, symmetric chamfer (px, capped at 15) and the tolerant mismatch +(px further than 1 px from the other mask) of the rendered plate and the sprite. +""" +import argparse, json, os, subprocess, sys, tempfile +import numpy as np +from PIL import Image +from scipy import ndimage + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "..", "vdtool")) +import vdtool # noqa: E402 + +BONE_PART = {"polearm.L": "polearm", "axe2h.L": "axe2h", "bow.L": "bow", "weapon1h.R": "weapon1h"} +DEFAULT_ACTIONS = "04_stand,03_run_armed,08_combat_idle_2h,09_attack_1h_slash,12_attack_2h_bash,13_attack_2h_slash,14_attack_2h_pierce,21_die_forward,30_block" + + +def sprite_mask(blk, ai, d, i): + G = np.zeros((256, 256), bool); b = blk.get((ai, d)) + if b is not None and i < len(b["frames"]): + f = b["frames"][i]; rgba = vdtool.frame_rgba(f, b["palette"]); h, w = rgba.shape[:2]; x0, y0 = 128 - f["cx"], 192 - f["cy"] - f["h"] + ys, xs = slice(max(y0, 0), min(y0 + h, 256)), slice(max(x0, 0), min(x0 + w, 256)) + if ys.stop > ys.start and xs.stop > xs.start: + G[ys, xs] = rgba[ys.start - y0:ys.stop - y0, xs.start - x0:xs.stop - x0, 3] > 0 + return G + + +def measure(out, blk, only): + rows = [] + box = np.ones((3, 3), bool) + for act in only: + ai = int(act[:2]) + for d in range(5): + fdir = os.path.join(out, "clothing", "frames", act, "dir%d" % d) + if not os.path.isdir(fdir): + continue + for fn in sorted(os.listdir(fdir)): + i = int(fn[:2]); R = np.array(Image.open(os.path.join(fdir, fn)).convert("RGBA"))[..., 3] > 0 + G = sprite_mask(blk, ai, d, i) + if G.sum() < 4: + continue + if R.sum() < 1: + ch, mm = 15.0, float(G.sum()) + else: + dg = ndimage.distance_transform_edt(~G); dr = ndimage.distance_transform_edt(~R) + ch = 0.5 * (min(dg[R].mean(), 15) + min(dr[G].mean(), 15)) + mm = float((R & ~ndimage.binary_dilation(G, box)).sum() + (G & ~ndimage.binary_dilation(R, box)).sum()) + rows.append(dict(a=ai, d=d, i=i, iou=float((R & G).sum() / max((R | G).sum(), 1)), chamfer=float(ch), mismatch=mm)) + return rows + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--anim", type=int, required=True); ap.add_argument("--roll", required=True); ap.add_argument("--vd", required=True) + ap.add_argument("--mode", default="class"); ap.add_argument("--actions", default=DEFAULT_ACTIONS); ap.add_argument("--thick", type=float, default=0.012) + ap.add_argument("--blend", default=os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")); ap.add_argument("--tmp"); ap.add_argument("--out") + ap.add_argument("--reuse", action="store_true") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp or tempfile.mkdtemp(prefix="test_weapon_roll_")) + cls = None + for fn in os.listdir(a.roll): + if fn.startswith("roll_") and fn.endswith(".json"): + R = json.load(open(os.path.join(a.roll, fn))) + if str(a.anim) in R["weapons"]: + cls, RJ = R["cls"], R + W = RJ["weapons"][str(a.anim)] + cells = np.load(os.path.join(a.roll, "cells_%d.npy" % a.anim)) + WM = json.load(open(os.path.join(HERE, "weapon_motion.json")))[cls] + spec = dict(cls=cls, parent=WM["parent"], part=BONE_PART[cls], cells=cells.tolist(), step=0.015, thick=a.thick, delta=float(np.deg2rad(W["delta_deg"])), mode=a.mode, + phi=RJ["phi"] if a.mode == "class" else None, const=(W["const_abs_deg"] - W["delta_deg"]) if a.mode == "const" else 0.0) + env = dict(os.environ, UO_TR_SPEC=json.dumps(spec), UO_TR_SCRIPTS=HERE) + out = os.path.join(tmp, "%d_%s" % (a.anim, a.mode)); only = a.actions.split(",") + cmd = [sys.executable, os.path.join(HERE, "run_render_headless.py"), os.path.abspath(a.blend), out, "--pre", os.path.join(HERE, "test_weapon_roll_pre.py"), + "LAYER='clothing'", "ONLY=%r" % only, "EXACT_BODY=False", "EXACT_COLORS=False", "CANVAS=(256,256)", "ANCHOR=(128,192)"] + if not a.reuse: + subprocess.run(cmd, env=env, check=True) + meta = json.load(open(os.path.join(a.roll, "..", "..", "weapons_meta.json"))) if os.path.exists(os.path.join(a.roll, "..", "..", "weapons_meta.json")) else None + _, blocks = vdtool.read_vd(a.vd); blk = {(b["action"], b["dir"]): b for b in blocks} + rows = measure(out, blk, only) + f = lambda k: float(np.mean([r[k] for r in rows])) + res = dict(anim=a.anim, mode=a.mode, cls=cls, frames=len(rows), iou=f("iou"), chamfer=f("chamfer"), mismatch=f("mismatch"), + by_action={str(x): float(np.mean([r["mismatch"] for r in rows if r["a"] == x])) for x in sorted({r["a"] for r in rows})}) + print("anim %d %-5s frames %d IoU %.3f chamfer %.2f px tolerant mismatch %.1f px | per action: %s" % ( + a.anim, a.mode, res["frames"], res["iou"], res["chamfer"], res["mismatch"], " ".join("%s:%.0f" % kv for kv in res["by_action"].items()))) + if a.out: + json.dump(res, open(a.out, "w"), indent=1) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/test_weapon_roll_pre.py b/third_party/UO_Model3D_v13/pipeline/test_weapon_roll_pre.py new file mode 100644 index 0000000..a7bddef --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_weapon_roll_pre.py @@ -0,0 +1,62 @@ +"""Pre-script of test_weapon_roll.py (run inside Blender by run_render_headless.py --pre): a flat plate (the head learned by weapon_roll_fit.py, cells +(s, u) in m along the class line and across it) in Rest Position on the class line of the weapon bone, turned about the shaft by the offset of this weapon, +bound with uo_bind_item.py; the class bone is re-keyed with the roll per pose (roll composed into the pose turn: R' = R * Rot_u(phi)). +Spec in the env var UO_TR_SPEC = json {cls, parent, part, cells, step, thick, delta, phi: {"a,i": deg} or null, const: deg}.""" +import bpy, json, os, re, math +import numpy as np +from mathutils import Vector, Matrix + +spec = json.loads(os.environ["UO_TR_SPEC"]); scripts = os.environ["UO_TR_SCRIPTS"] +cls = spec["cls"] +WM = json.loads(bpy.data.texts["weapon_motion.json"].as_string()) +C = WM[cls]; u = np.array(C["dir"], float); u /= np.linalg.norm(u); piv = np.array(C["pivot"], float) + + +def rot(axis, ang): + return Matrix.Rotation(ang, 3, Vector(axis)) + + +x = np.array([1.0, 0, 0]); e1 = x - (x @ u) * u +if np.linalg.norm(e1) < 0.3: + x = np.array([0, 1.0, 0]); e1 = x - (x @ u) * u +e1 /= np.linalg.norm(e1) + +# 1. the roll per pose through the "roll" field of the class (what uo_weapon_bones.py keys), re-keyed with the uo_weapon_bones.py of this repo +phi = spec.get("phi"); const = math.radians(spec.get("const", 0.0)); mode = spec["mode"] +C.pop("roll", None) +if mode == "class": + C["roll"] = dict(phi={k: math.radians(v) for k, v in phi.items()}) +elif mode == "const": + C["roll"] = dict(phi={k: const for k in C["poses"]}) +t = bpy.data.texts["weapon_motion.json"]; t.clear(); t.write(json.dumps(WM)) +src = open(os.path.join(scripts, "uo_weapon_bones.py")).read() +exec(compile(src, "uo_weapon_bones.py", "exec"), {"__name__": "__main__"}) + +# 2. the plate +rig = bpy.data.objects["UO_Rig"] +H = rig.matrix_world @ rig.data.bones[spec["parent"]].matrix_local +ru = np.array(rot(u, spec["delta"]) @ Vector(e1)); rv = np.cross(u, ru) +step, th = spec["step"], spec["thick"] +verts, faces = [], [] +for s, uu in spec["cells"]: + c = piv + u * s + ru * uu; b = len(verts) + for sx in (-1, 1): + for sy in (-1, 1): + for sz in (-1, 1): + q = c + u * sx * step / 2 + ru * sy * step / 2 + rv * sz * th / 2 + verts.append((H @ Vector(q))[:]) + faces += [(b + 0, b + 1, b + 3, b + 2), (b + 4, b + 6, b + 7, b + 5), (b + 0, b + 4, b + 5, b + 1), (b + 2, b + 3, b + 7, b + 6), + (b + 0, b + 2, b + 6, b + 4), (b + 1, b + 5, b + 7, b + 3)] +me = bpy.data.meshes.new("TestPlate"); me.from_pydata(verts, [], faces); me.update() +ob = bpy.data.objects.new("TestPlate", me) +if "Clothing" not in bpy.data.collections: + bpy.context.scene.collection.children.link(bpy.data.collections.new("Clothing")) +for o in list(bpy.data.collections["Clothing"].objects): + bpy.data.objects.remove(o) +bpy.data.collections["Clothing"].objects.link(ob) +mat = bpy.data.materials.get("UO_Look") or bpy.data.materials.get("UO_Skin") +if mat: me.materials.append(mat) +bpy.ops.object.select_all(action="DESELECT"); ob.select_set(True); bpy.context.view_layer.objects.active = ob +text = open(os.path.join(scripts, "uo_bind_item.py")).read() +text, k = re.subn(r"^PART\s*=.*$", "PART = %r" % spec["part"], text, count=1, flags=re.M); assert k == 1 +exec(compile(text, "uo_bind_item.py", "exec"), {"__name__": "__main__"}) diff --git a/third_party/UO_Model3D_v13/pipeline/test_weapons.py b/third_party/UO_Model3D_v13/pipeline/test_weapons.py new file mode 100644 index 0000000..7d4b465 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_weapons.py @@ -0,0 +1,79 @@ +"""Weapon QA: a thin shaft (replica of a weapon) rendered through the whole pipeline (uo_bind_item + render_uo_layer) against the original weapon sprite. + + python test_weapons.py --anim 648 --mode polearm|rigid --vd VDDIR [--rigid RIGID.json] [--actions 04_stand,12_attack_2h_bash,...] [--tmp DIR] [--out qa.json] + +mode polearm (or axe2h, bow, weapon1h; the last one is in the right hand): the shaft lies on the class line of weapon_motion.json (extent of that weapon) and is bound to the weapon bone (calibrated motion). +mode rigid: the shaft lies on the rigid line fitted for this weapon (weapon_fit.py rigid --out) and is bound to the hand it was fitted in (what was possible before). +Per frame: IoU and the symmetric chamfer distance (px) of the rendered shaft pixels and the sprite pixels (capped at 15 px). +""" +import argparse, json, os, subprocess, sys, tempfile +import numpy as np +from PIL import Image +from scipy import ndimage + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "..", "vdtool")) +import vdtool # noqa: E402 + +CLASS_BONE = {"polearm": "polearm.L", "axe2h": "axe2h.L", "bow": "bow.L", "weapon1h": "weapon1h.R"} +DEFAULT_ACTIONS = "04_stand,03_run_armed,08_combat_idle_2h,12_attack_2h_bash,13_attack_2h_slash,14_attack_2h_pierce,21_die_forward,30_block" + + +def main(): + ap = argparse.ArgumentParser() + ap.add_argument("--anim", type=int, required=True); ap.add_argument("--mode", required=True); ap.add_argument("--vd", required=True) + ap.add_argument("--rigid"); ap.add_argument("--actions", default=DEFAULT_ACTIONS); ap.add_argument("--radius", type=float, default=0.03) + ap.add_argument("--blend", default=os.path.join(HERE, "..", "model", "UO_Body_0x190.blend")) + ap.add_argument("--motion", default=os.path.join(HERE, "weapon_motion.json")); ap.add_argument("--tmp"); ap.add_argument("--out"); ap.add_argument("--reuse", action="store_true", help="measure frames already rendered in --tmp") + a = ap.parse_args() + tmp = os.path.abspath(a.tmp or tempfile.mkdtemp(prefix="test_weapons_")) + if a.mode == "rigid": + R = json.load(open(a.rigid))["rigid"]; p, u = np.array(R["p0"]), np.array(R["u"]) + spec = dict(p=p.tolist(), u=u.tolist(), s0=0.0, s1=R["length"], part="weapon" if R.get("bone") == "hand.R" else "weapon.L", parent=R.get("bone", "hand.L")) + else: + C = json.load(open(a.motion))[CLASS_BONE[a.mode]]; ex = C["anims"][str(a.anim)] + spec = dict(p=C["pivot"], u=C["dir"], s0=ex[0], s1=ex[1], part=a.mode, parent=C["parent"]) + spec["radius"] = a.radius + env = dict(os.environ, UO_TW_SPEC=json.dumps(spec), UO_TW_SCRIPTS=HERE) + out = os.path.join(tmp, "%d_%s" % (a.anim, a.mode)) + only = [x for x in a.actions.split(",")] + cmd = [sys.executable, os.path.join(HERE, "run_render_headless.py"), os.path.abspath(a.blend), out, "--pre", os.path.join(HERE, "test_weapons_pre.py"), + 'LAYER="clothing"', "ONLY=%r" % only, "EXACT_BODY=False", "EXACT_COLORS=False", "CANVAS=(256,256)", "ANCHOR=(128,192)"] + cmd = [c.replace('LAYER="clothing"', "LAYER='clothing'") for c in cmd] + if not a.reuse: + subprocess.run(cmd, env=env, check=True) + _, blocks = vdtool.read_vd(os.path.join(a.vd, "anim_%04d.vd" % a.anim)); blk = {(b["action"], b["dir"]): b for b in blocks} + rows = [] + for act in only: + ai = int(act[:2]) + for d in range(5): + fdir = os.path.join(out, "clothing", "frames", act, "dir%d" % d) + if not os.path.isdir(fdir): + continue + for fn in sorted(os.listdir(fdir)): + i = int(fn[:2]); Rm = np.array(Image.open(os.path.join(fdir, fn)).convert("RGBA"))[..., 3] > 0 + b = blk.get((ai, d)); G = np.zeros((256, 256), bool) + if b is not None and i < len(b["frames"]): + f = b["frames"][i]; rgba = vdtool.frame_rgba(f, b["palette"]); h, w = rgba.shape[:2]; x0, y0 = 128 - f["cx"], 192 - f["cy"] - f["h"] + ys, xs = slice(max(y0, 0), min(y0 + h, 256)), slice(max(x0, 0), min(x0 + w, 256)) + if ys.stop > ys.start and xs.stop > xs.start: + G[ys, xs] = rgba[ys.start - y0:ys.stop - y0, xs.start - x0:xs.stop - x0, 3] > 0 + if G.sum() < 4: + continue + if Rm.sum() < 1: + ch = 15.0 + else: + dg = ndimage.distance_transform_edt(~G); dr = ndimage.distance_transform_edt(~Rm) + ch = 0.5 * (min(dg[Rm].mean(), 15) + min(dr[G].mean(), 15)) + rows.append(dict(a=ai, d=d, i=i, iou=float((Rm & G).sum() / max((Rm | G).sum(), 1)), chamfer=float(ch))) + f = lambda k: float(np.mean([r[k] for r in rows])) + res = dict(anim=a.anim, mode=a.mode, frames=len(rows), iou=f("iou"), chamfer=f("chamfer"), chamfer_median=float(np.median([r["chamfer"] for r in rows])), + by_action={str(x): float(np.mean([r["chamfer"] for r in rows if r["a"] == x])) for x in sorted({r["a"] for r in rows})}) + print("anim %d %-8s frames %d IoU %.3f chamfer mean %.2f median %.2f px | per action: %s" % ( + a.anim, a.mode, res["frames"], res["iou"], res["chamfer"], res["chamfer_median"], " ".join("%s:%.1f" % kv for kv in res["by_action"].items()))) + if a.out: + json.dump(res, open(a.out, "w"), indent=1) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/test_weapons_pre.py b/third_party/UO_Model3D_v13/pipeline/test_weapons_pre.py new file mode 100644 index 0000000..9f8330f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/test_weapons_pre.py @@ -0,0 +1,31 @@ +"""Pre-script of test_weapons.py (run inside Blender by run_render_headless.py --pre): a thin straight shaft in Rest Position along a line given in the +local frame of the hand bone `parent` (hand.L by default; spec in the env var UO_TW_SPEC = json {p, u, s0, s1, radius, part}), bound with uo_bind_item.py to the bone of `part`.""" +import bpy, json, os, re, math +import numpy as np +from mathutils import Vector, Matrix + +spec = json.loads(os.environ["UO_TW_SPEC"]) +rig = bpy.data.objects["UO_Rig"] +H = rig.matrix_world @ rig.data.bones[spec.get("parent", "hand.L")].matrix_local # hand frame at rest -> world +p, u = np.array(spec["p"]), np.array(spec["u"]) +a, b = H @ Vector(p + u * spec["s0"]), H @ Vector(p + u * spec["s1"]) +n, r = 12, spec["radius"] +axis = (b - a).normalized(); ref = Vector((0, 1, 0)) if abs(axis.y) < 0.9 else Vector((1, 0, 0)) +e1 = axis.cross(ref).normalized(); e2 = axis.cross(e1).normalized() +verts = [a + (e1 * math.cos(2 * math.pi * k / n) + e2 * math.sin(2 * math.pi * k / n)) * r for k in range(n)] + \ + [b + (e1 * math.cos(2 * math.pi * k / n) + e2 * math.sin(2 * math.pi * k / n)) * r for k in range(n)] +faces = [(k, (k + 1) % n, n + (k + 1) % n, n + k) for k in range(n)] + [tuple(range(n))[::-1], tuple(range(n, 2 * n))] +me = bpy.data.meshes.new("TestShaft"); me.from_pydata([v[:] for v in verts], [], faces); me.update() +ob = bpy.data.objects.new("TestShaft", me) +if "Clothing" not in bpy.data.collections: + bpy.context.scene.collection.children.link(bpy.data.collections.new("Clothing")) +for o in list(bpy.data.collections["Clothing"].objects): + bpy.data.objects.remove(o) +bpy.data.collections["Clothing"].objects.link(ob) +mat = bpy.data.materials.get("UO_Look") or bpy.data.materials.get("UO_Skin") +if mat: me.materials.append(mat) +bpy.ops.object.select_all(action="DESELECT"); ob.select_set(True); bpy.context.view_layer.objects.active = ob +scripts = os.path.dirname(os.path.abspath(os.environ["UO_TW_SPEC_FILE"])) if "UO_TW_SPEC_FILE" in os.environ else os.getcwd() +text = open(os.path.join(os.environ["UO_TW_SCRIPTS"], "uo_bind_item.py")).read() +text, k = re.subn(r"^PART\s*=.*$", "PART = %r" % spec["part"], text, count=1, flags=re.M); assert k == 1 +exec(compile(text, "uo_bind_item.py", "exec"), {"__name__": "__main__"}) diff --git a/third_party/UO_Model3D_v13/pipeline/texbake.py b/third_party/UO_Model3D_v13/pipeline/texbake.py new file mode 100644 index 0000000..126a209 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/texbake.py @@ -0,0 +1,154 @@ +"""Project sprite colours onto the model's UV texture (5 views + mirror-partner samples).""" +import numpy as np +from body import ANCHOR_X, ANCHOR_Y + + +def cam_basis(theta, d): + yaw = -d * np.pi / 4 + c, s = np.cos(-yaw), np.sin(-yaw) + Rz = np.array([[c, -s, 0], [s, c, 0], [0, 0, 1.0]]) + right = Rz @ np.array([1.0, 0, 0]) + up = Rz @ np.array([0, np.sin(theta), np.cos(theta)]) + fwd = np.cross(right, up) # toward camera + return right, up, fwd + + +def to_screen(p, theta, scale, d): + r, u, f = cam_basis(theta, d) + return np.stack([ANCHOR_X + scale * (p @ r), ANCHOR_Y - scale * (p @ u), p @ f], -1) + + +def tri_raster(pts2, fn, W, H): + """Rasterise triangles given 2D points (T,3,2); calls fn(tri_index, xs, ys, bary(n,3)) for covered pixel centres.""" + for t in range(len(pts2)): + a, b, c = pts2[t] + x0 = max(int(np.floor(min(a[0], b[0], c[0]))), 0) + x1 = min(int(np.ceil(max(a[0], b[0], c[0]))), W - 1) + y0 = max(int(np.floor(min(a[1], b[1], c[1]))), 0) + y1 = min(int(np.ceil(max(a[1], b[1], c[1]))), H - 1) + if x1 < x0 or y1 < y0: + continue + ys, xs = np.mgrid[y0:y1 + 1, x0:x1 + 1] + px = xs.ravel() + 0.5 + py = ys.ravel() + 0.5 + den = (b[1] - c[1]) * (a[0] - c[0]) + (c[0] - b[0]) * (a[1] - c[1]) + if abs(den) < 1e-12: + continue + l0 = ((b[1] - c[1]) * (px - c[0]) + (c[0] - b[0]) * (py - c[1])) / den + l1 = ((c[1] - a[1]) * (px - c[0]) + (a[0] - c[0]) * (py - c[1])) / den + l2 = 1 - l0 - l1 + m = (l0 >= -1e-4) & (l1 >= -1e-4) & (l2 >= -1e-4) + if m.any(): + fn(t, xs.ravel()[m], ys.ravel()[m], np.stack([l0[m], l1[m], l2[m]], 1)) + + +def zbuffer(vs, tris, W, H, ss): + """vs: (N,3) screen x,y (canvas px), depth-toward-camera. Returns zbuf (H*ss, W*ss).""" + zb = np.full((H * ss, W * ss), -np.inf) + p2 = vs[tris][..., :2] * ss + z = vs[tris][..., 2] + + def fn(t, xs, ys, bc): + zz = bc @ z[t] + np.maximum.at(zb, (ys, xs), zz) + tri_raster(p2, fn, W * ss, H * ss) + return zb + + +def vertex_normals(v, tris): + fn = np.cross(v[tris[:, 1]] - v[tris[:, 0]], v[tris[:, 2]] - v[tris[:, 0]]) + n = np.zeros_like(v) + for k in range(3): + np.add.at(n, tris[:, k], fn) + return n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + + +def erode(mask, it=1): + m = mask.copy() + for _ in range(it): + n = m.copy() + n[1:] &= m[:-1]; n[:-1] &= m[1:]; n[:, 1:] &= m[:, :-1]; n[:, :-1] &= m[:, 1:] + m = n + return m + + +def bake(tris, tri_uv, posed, mirror, sprites, theta, scale, size=1024, ss=4, mirror_w=0.6, eps=0.02): + """tris (T,3) vertex idx; tri_uv (T,3,2) in [0,1]; posed (N,3); mirror (N,) partner index; + sprites: list of 5 canvas RGBA uint8 (H,W,4) for file dirs 0..4. Returns RGBA float texture and weight map.""" + H, W = sprites[0].shape[:2] + nrm = vertex_normals(posed, tris) + # texel -> (triangle, barycentric) + tex_tri = np.full((size, size), -1, np.int64) + tex_bc = np.zeros((size, size, 3)) + + def fn(t, xs, ys, bc): + tex_tri[ys, xs] = t + tex_bc[ys, xs] = bc + uvpx = tri_uv.copy() + uvpx[..., 0] *= size + uvpx[..., 1] = (1 - uvpx[..., 1]) * size + tri_raster(uvpx, fn, size, size) + ys, xs = np.nonzero(tex_tri >= 0) + t = tex_tri[ys, xs] + bc = tex_bc[ys, xs] + acc = np.zeros((len(t), 3)) + wsum = np.zeros(len(t)) + # equalise overall brightness between directions (UO lights are fixed while the body turns) + means = [] + for img in sprites: + core = erode(img[..., 3] > 127, 1) + means.append(img[core][:, :3].mean()) + gains = np.mean(means) / np.array(means) + for use_mirror, wm in ((False, 1.0), (True, mirror_w)): + idx = tris[t] if not use_mirror else mirror[tris[t]] + P = np.einsum("nk,nkd->nd", bc, posed[idx]) + N = np.einsum("nk,nkd->nd", bc, nrm[idx]) + N /= np.maximum(np.linalg.norm(N, axis=1, keepdims=True), 1e-12) + for d in range(5): + scr_v = to_screen(posed, theta, scale, d) + zb = zbuffer(scr_v, tris, W, H, ss) + sp = to_screen(P, theta, scale, d) + _, _, fwd = cam_basis(theta, d) + facing = N @ fwd + xi = np.floor(sp[:, 0]).astype(int) + yi = np.floor(sp[:, 1]).astype(int) + zx = np.clip(np.floor(sp[:, 0] * ss).astype(int), 0, W * ss - 1) + zy = np.clip(np.floor(sp[:, 1] * ss).astype(int), 0, H * ss - 1) + inside = (xi >= 0) & (xi < W) & (yi >= 0) & (yi < H) + vis = inside & (sp[:, 2] >= zb[zy, zx] - eps) & (facing > 0.15) + img = sprites[d] + core = erode(img[..., 3] > 127, 1) # skip the dark 1-px outline of the sprite + a = np.zeros(len(t)) + a[vis] = img[yi[vis], xi[vis], 3] / 255.0 + vis &= a > 0.5 + incore = np.zeros(len(t), bool) + incore[vis] = core[yi[vis], xi[vis]] + w = np.where(vis, facing ** 2, 0.0) * wm * np.where(incore, 1.0, 0.05) + col = np.zeros((len(t), 3)) + col[vis] = img[yi[vis], xi[vis], :3] * gains[d] + acc += col * w[:, None] + wsum += w + tex = np.zeros((size, size, 3)) + wt = np.zeros((size, size)) + ok = wsum > 1e-6 + tex[ys[ok], xs[ok]] = acc[ok] / wsum[ok, None] + wt[ys[ok], xs[ok]] = 1.0 + return tex, wt, (tex_tri >= 0) + + +def pull_push_fill(tex, wt): + """Fill holes (wt==0) from coarser mip levels.""" + levels = [(tex * wt[..., None], wt.copy())] + while levels[-1][1].shape[0] > 1: + c, w = levels[-1] + h = c.shape[0] // 2 + c2 = c[:2 * h, :2 * h].reshape(h, 2, h, 2, 3).sum((1, 3)) + w2 = w[:2 * h, :2 * h].reshape(h, 2, h, 2).sum((1, 3)) + levels.append((c2, w2)) + col = levels[-1][0] / np.maximum(levels[-1][1], 1e-9)[..., None] + for c, w in reversed(levels[:-1]): + up = np.repeat(np.repeat(col, 2, 0), 2, 1)[: c.shape[0], : c.shape[1]] + own = c / np.maximum(w, 1e-9)[..., None] + a = np.clip(w, 0, 1)[..., None] + col = own * a + up * (1 - a) + return col diff --git a/third_party/UO_Model3D_v13/pipeline/uo_bind_item.py b/third_party/UO_Model3D_v13/pipeline/uo_bind_item.py new file mode 100644 index 0000000..d0ad6b6 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_bind_item.py @@ -0,0 +1,298 @@ +# Bind the SELECTED item meshes to the UO body in one go: parent + Armature modifier + skin weights + shape corrections. +# 1. Model the item on the body in Rest Position, put it in the "Clothing" collection (keep it under ~10k vertices). +# 2. Set PART to the kind of item (e.g. "chest" for a breastplate, "gloves" for gloves), select it and run (Alt+P). +# Every item vertex follows the skin right under it (MAP = "under"); weights and shape corrections are taken from +# that skin point and smoothed over the item (SMOOTH). "chest" moves most of the upper-arm weight to the +# collarbones, so the shoulders of a breastplate stay on the shoulders while the arms move under it. +# Run it again after you change the item's shape (old weights and "uo_" corrections are replaced). Your own shape +# keys (names not starting with "uo_") are kept. The finger, twist and toe bones of the v13 body count as the hand, +# arm and foot in PARTS (e.g. "gloves" follows the fingers too). +import bpy +import numpy as np +from mathutils import Vector +from mathutils.bvhtree import BVHTree +from mathutils.geometry import barycentric_transform + +PART = "all" # kind of item, see PARTS below (e.g. "chest" for a breastplate, "gloves" for gloves) +MAP = "under" # "under": follow the skin right under each vertex (along its normal); "nearest": nearest skin +SMOOTH = 4 # smoothing passes of weights and corrections over the item (0 = off) +MAX_DIST = 0.15 # m, farthest skin an item vertex may follow along its normal +CORR_KEEP = 0.0 # 0..1: share of the skin corrections kept where FOLLOW moved weight to a parent bone +# PART: (bones the item may follow - None = all, FOLLOW = share of a limb bone's weight that stays on it; the rest goes +# to its parent bone: hand->forearm->upper_arm->clavicle, foot->shin->thigh->pelvis, head->neck). A FOLLOW of +# (share, t0, t1) grows along the bone: `share` near its joint (up to t0 of the bone length), 1.0 from t1 on - so in +# "chest" the pauldron on the shoulder rides on the collarbone while the sleeve further down follows the arm. +PARTS = { + "all": (None, {}), # robe, cloak, full suit: like the skin + "chest": (None, {"upper_arm": (0.2, 0.15, 0.45), "hand": 0.0, # breastplate / armour with + "thigh": (0.3, 0.1, 0.4), "foot": 0.0, "head": 0.0}), # pauldrons and sleeves + "torso": (["pelvis", "spine", "chest", "neck"], {}), # torso skin only + "shoulders": (["chest", "upper_arm.L", "upper_arm.R"], {}), # pauldrons + "arms": (["upper_arm.L", "forearm.L", "upper_arm.R", "forearm.R"], {}), # sleeves, arm armour + "gloves": (["forearm.L", "hand.L", "forearm.R", "hand.R"], {}), # gloves, gauntlets, bracers + "legs": (["pelvis", "thigh.L", "shin.L", "thigh.R", "shin.R"], {}), # leggings, trousers + "boots": (["shin.L", "foot.L", "shin.R", "foot.R"], {}), # boots, greaves + "helm": (["head"], {}), # helmet, hat, mask + "neck": (["neck", "chest", "head"], {}), # gorget, collar + # cloth (v13 body): weights from the cloth template (bone chains fitted to the original UO cloak / skirt frames) + "skirt": (["pelvis", "spine", "thigh.L", "thigh.R"], {}), # skirt, kilt: all on the skirt chains + "cloak": (["chest", "spine", "neck", "clavicle.L", "clavicle.R"], {}), # cloak, cape: all on the cloak chains + "robe": (None, {"hand": 0.0, "foot": 0.0, "head": 0.0}), # robe, dress: top like the skin, +} # below the waist the skirt chains, + # sleeves on the arms at any height +# PART -> (cloth template object, height band in m over which the item goes from the body weights to the template +# weights below the template's top; None = template weights only) +CLOTH = {"skirt": ("UO_Template_Skirt", None), "cloak": ("UO_Template_Cloak", None), "robe": ("UO_Template_Skirt", 0.35)} +# rigid items: every vertex 100 % on one bone (they do not bend): hair and beards (UO draws them rigid on the head), +# weapons, shields (left forearm), quivers (back). UO holds 2H weapons, staffs, bows and crossbows in the LEFT hand and 1H weapons in the right, +# and moves them differently from the hand: they ride on the weapon bones polearm.L / axe2h.L / bow.L / weapon1h.R (uo_weapon_bones.py, +# calibrated on the original weapons: model the shaft along the class line, see that script). "weapon" = rigid in hand.R and "weapon.L" = rigid +# in hand.L (no calibration). +RIGID = {"hair": "head", "beard": "head", "hat": "head", "weapon": "hand.R", "weapon.L": "hand.L", "weapon1h": "weapon1h.R", "shield": "shield.L", "quiver": "chest", + "polearm": "polearm.L", "staff": "polearm.L", "weapon2h": "polearm.L", "axe2h": "axe2h.L", "bow": "bow.L", "crossbow": "bow.L"} +PARENT = {"hand": "forearm", "forearm": "upper_arm", "upper_arm": "clavicle", "foot": "shin", "shin": "thigh", + "thigh": "pelvis", "head": "neck"} + +body = bpy.data.objects["UO_Body"] +rig = bpy.data.objects["UO_Rig"] +SUB = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} # extra bones -> their UO bone + + +def group_of(name): + """UO bone a body bone belongs to: finger / twist / toe bones count as hand / arm / foot""" + side = name[-2:] if name.endswith((".L", ".R")) else "" + base = name[:-2] if side else name + base = "hand" if base.startswith("finger") else SUB.get(base, base) + return base + side + + +def body_regions(allowed): + """Body skin triangles whose dominant bone is in `allowed`, plus the body vertex weights of those bones.""" + me = body.data + names = [g.name for g in body.vertex_groups] + W = np.zeros((len(me.vertices), len(names))) + for v in me.vertices: + for g in v.groups: + W[v.index, g.group] = g.weight + keep = [i for i, n in enumerate(names) if allowed is None or group_of(n) in allowed] + basis = np.empty(len(me.vertices) * 3, np.float32) + (me.shape_keys.key_blocks[0].data if me.shape_keys else me.vertices).foreach_get("co", basis) + basis = basis.reshape(-1, 3).astype(np.float64) + me.calc_loop_triangles() + tri = np.array([t.vertices[:] for t in me.loop_triangles]) + dom = W[tri].sum(1).argmax(1) # dominant bone of every triangle + tri = tri[np.isin(dom, keep)] + if not len(tri): + raise RuntimeError("no body skin for PART %r" % PART) + bvh = BVHTree.FromPolygons([Vector(p) for p in basis], tri.tolist()) + return bvh, tri, basis, W[:, keep], [names[i] for i in keep] + + +def cloth_blend(co, wv, bones, tpl_name, band): + """blend the body weights with the weights of the nearest point of the cloth template (all in body space); with a + band (robe) the parts on the arms (sleeves) keep the body weights at any height""" + tpl = bpy.data.objects.get(tpl_name) + if tpl is None: + raise RuntimeError("cloth template %s not found (v13 body file)" % tpl_name) + me = tpl.data + M = body.matrix_world.inverted() @ tpl.matrix_world + tco = np.array([M @ v.co for v in me.vertices]) + tn = [g.name for g in tpl.vertex_groups] + TW = np.zeros((len(me.vertices), len(tn))) + for v in me.vertices: + for g in v.groups: + TW[v.index, g.group] = g.weight + me.calc_loop_triangles() + ttri = np.array([t.vertices[:] for t in me.loop_triangles]) + bvh = BVHTree.FromPolygons([Vector(p) for p in tco], ttri.tolist()) + wt = np.zeros((len(co), len(tn))) + for i, p in enumerate(co): + loc, nrm, fi, dist = bvh.find_nearest(Vector(p)) + a, b, c = ttri[fi] + w = barycentric_transform(loc, Vector(tco[a]), Vector(tco[b]), Vector(tco[c]), + Vector((1, 0, 0)), Vector((0, 1, 0)), Vector((0, 0, 1))) + w = np.clip(np.array(w), 0, 1); w /= max(w.sum(), 1e-9) + wt[i] = w[0] * TW[a] + w[1] * TW[b] + w[2] * TW[c] + wt /= np.maximum(wt.sum(1, keepdims=True), 1e-9) + if band is None: + h = np.ones(len(co)) + else: + top = tco[:, 2].max() + arm = wv[:, [j for j, b in enumerate(bones) if group_of(b).split(".")[0] in ("upper_arm", "forearm", "hand")]].sum(1) + h = np.clip((top - co[:, 2]) / band, 0, 1) + h = h * h * (3 - 2 * h) * np.clip(1 - 2 * arm, 0, 1) # smooth; sleeves stay on the arms + names = list(bones) + [b for b in tn if b not in bones] + out = np.zeros((len(co), len(names))) + out[:, :len(bones)] = wv * (1 - h)[:, None] + for j, b in enumerate(tn): + out[:, names.index(b)] += wt[:, j] * h + return out, names + + +def bind(ob, allowed): + bvh, tri, basis, W, bones = body_regions(allowed) + M = body.matrix_world.inverted() @ ob.matrix_world # item space -> body space + n = len(ob.data.vertices) + co = np.empty(n * 3, np.float32) + if ob.data.shape_keys: + ob.data.shape_keys.key_blocks[0].data.foreach_get("co", co) + else: + ob.data.vertices.foreach_get("co", co) + co = np.array([M @ Vector(p) for p in co.reshape(-1, 3)]) # body space + ob.data.calc_loop_triangles() + itri = np.array([t.vertices[:] for t in ob.data.loop_triangles]).reshape(-1, 3) + fn = np.cross(co[itri[:, 1]] - co[itri[:, 0]], co[itri[:, 2]] - co[itri[:, 0]]) + vn = np.zeros_like(co) + for k in range(3): + np.add.at(vn, itri[:, k], fn) + vn /= np.maximum(np.linalg.norm(vn, axis=1, keepdims=True), 1e-12) + idx = np.zeros((n, 3), int); bary = np.zeros((n, 3)) + for i, p in enumerate(co): + p = Vector(p) + loc, nrm, fi, dist = bvh.find_nearest(p) + if MAP == "under" and (p - loc).dot(nrm) > 0: # vertex outside the body: skin under it + best = None + for d in (-Vector(vn[i]), Vector(vn[i])): # normals may point either way + hit = bvh.ray_cast(p, d, MAX_DIST) + if hit[0] is not None and (p - hit[0]).dot(hit[1]) > 0 and (best is None or hit[3] < best[3]): + best = hit + if best is not None and best[3] < max(3 * dist, dist + 0.05): + loc, nrm, fi, dist = best + a, b, c = tri[fi] + w = barycentric_transform(loc, Vector(basis[a]), Vector(basis[b]), Vector(basis[c]), + Vector((1, 0, 0)), Vector((0, 1, 0)), Vector((0, 0, 1))) + idx[i] = a, b, c; bary[i] = np.clip(w, 0, 1); bary[i] /= max(bary[i].sum(), 1e-9) + edges = np.array([e.vertices[:] for e in ob.data.edges]).reshape(-1, 2) + deg = np.bincount(edges.ravel(), minlength=n).astype(float)[:, None] + + def smooth(x): + for _ in range(SMOOTH): + acc = np.zeros_like(x) + np.add.at(acc, edges[:, 0], x[edges[:, 1]]); np.add.at(acc, edges[:, 1], x[edges[:, 0]]) + x = np.where(deg > 0, 0.5 * x + 0.5 * acc / np.maximum(deg, 1), x) + return x + + # --- skin weights: body weights at the nearest skin point, only the PART bones, normalised + wv = smooth((W[idx] * bary[..., None]).sum(1)) + s = wv.sum(1, keepdims=True) + wv = np.where(s > 1e-6, wv / np.maximum(s, 1e-9), 0) + lost = s[:, 0] <= 1e-6 # no weight of the part here: nearest bone of the part + if lost.any(): + wv[lost, W[idx[lost, 0]].argmax(1)] = 1.0 + moved = np.zeros(n) + bones = list(bones) + for base in ("hand", "forearm", "upper_arm", "foot", "shin", "thigh", "head"): # distal first, so chains fold + if base not in FOLLOW: + continue + for side in ((".L", ".R") if base != "head" else ("",)): + b, pb = base + side, PARENT[base] + ("" if PARENT[base] in ("pelvis", "neck") else side) + if b not in rig.data.bones or pb not in rig.data.bones: + continue + f = FOLLOW[base] + if isinstance(f, tuple): # share grows along the bone (t = 0 joint, 1 end) + bone = rig.data.bones[b] + to_body = body.matrix_world.inverted() @ rig.matrix_world + h, t_ = np.array(to_body @ bone.head_local), np.array(to_body @ bone.tail_local) + t = ((co - h) @ (t_ - h)) / max(((t_ - h) ** 2).sum(), 1e-12) + f = f[0] + (1 - f[0]) * np.clip((t - f[1]) / max(f[2] - f[1], 1e-6), 0, 1) + for j in [j for j, nm in enumerate(bones) if group_of(nm) == b]: # the bone + its finger / twist / toe bones + mv = wv[:, j] * (1 - f) + wv[:, j] -= mv; moved += mv + if pb in bones: + wv[:, bones.index(pb)] += mv + else: + wv = np.c_[wv, mv]; bones.append(pb) + moved = np.clip(moved, 0, 1) + if PART in CLOTH: + wv, bones = cloth_blend(co, wv, bones, *CLOTH[PART]) + moved = np.ones(n) + body_bones = {g.name for g in body.vertex_groups} | {b.name for b in rig.data.bones} + for g in [g for g in ob.vertex_groups if g.name in body_bones or g.name.startswith("clavicle")]: + ob.vertex_groups.remove(g) + for j, name in enumerate(bones): + nz = np.nonzero(wv[:, j] > 1e-4)[0] + if len(nz): + g = ob.vertex_groups.new(name=name) + for i in nz: + g.add([int(i)], float(wv[i, j]), "REPLACE") + + # --- parent + Armature modifier + if ob.parent != rig: + mw = ob.matrix_world.copy() + ob.parent = rig; ob.matrix_parent_inverse = rig.matrix_world.inverted(); ob.matrix_world = mw + arm = next((m for m in ob.modifiers if m.type == "ARMATURE"), None) + if arm is None: + arm = ob.modifiers.new("Armature", "ARMATURE") + try: + ob.modifiers.move(len(ob.modifiers) - 1, 0) + except Exception: + pass + arm.object = rig; arm.use_vertex_groups = True; arm.use_bone_envelopes = False + + # --- shape corrections of the same skin points (only a body with corrective shape keys, v12) + if ob.data.shape_keys: + for k in [k for k in ob.data.shape_keys.key_blocks if k.name.startswith("uo_")]: + ob.shape_key_remove(k) + if body.data.shape_keys is None or not any(k.name.startswith("uo_") for k in body.data.shape_keys.key_blocks): + print("uo_bind_item: %s -> PART %s, bones %s" % (ob.name, PART, bones)) + return + kb = body.data.shape_keys.key_blocks + R = np.array((body.matrix_world.inverted() @ ob.matrix_world).to_3x3().inverted()) # body offsets -> item space + if ob.data.shape_keys is None: + ob.shape_key_add(name="Basis", from_mix=False) + for k in [k for k in ob.data.shape_keys.key_blocks if k.name.startswith("uo_")]: + ob.shape_key_remove(k) + obasis = np.empty(n * 3, np.float32); ob.data.shape_keys.key_blocks[0].data.foreach_get("co", obasis) + obasis = obasis.reshape(-1, 3).astype(np.float64) + drivers = {d.data_path: d for d in body.data.shape_keys.animation_data.drivers} + nb = len(body.data.vertices); buf = np.empty(nb * 3, np.float32) + keys = [k for k in kb if k.name.startswith("uo_")] + for k in keys: + k.data.foreach_get("co", buf) + off = buf.reshape(-1, 3) - basis + o = smooth((off[idx] * bary[..., None]).sum(1) * (1 - moved * (1 - CORR_KEEP))[:, None]) @ R.T + sk = ob.shape_key_add(name=k.name, from_mix=False) + sk.data.foreach_set("co", (obasis + o).ravel().astype(np.float32)) + src = drivers['key_blocks["%s"].value' % k.name].driver + d = sk.driver_add("value").driver; d.type = "SCRIPTED" + for sv in src.variables: + v = d.variables.new(); v.name = sv.name; v.type = sv.type + v.targets[0].id_type = sv.targets[0].id_type; v.targets[0].id = sv.targets[0].id + v.targets[0].data_path = sv.targets[0].data_path + d.expression = src.expression + print("uo_bind_item: %s -> PART %s, bones %s, %d corrections" % (ob.name, PART, bones, len(keys))) + + +def bind_rigid(ob, bone): + body_bones = {g.name for g in body.vertex_groups} + for g in [g for g in ob.vertex_groups if g.name in body_bones]: + ob.vertex_groups.remove(g) + g = ob.vertex_groups.new(name=bone); g.add(list(range(len(ob.data.vertices))), 1.0, "REPLACE") + if ob.parent != rig: + mw = ob.matrix_world.copy() + ob.parent = rig; ob.matrix_parent_inverse = rig.matrix_world.inverted(); ob.matrix_world = mw + arm = next((m for m in ob.modifiers if m.type == "ARMATURE"), None) or ob.modifiers.new("Armature", "ARMATURE") + arm.object = rig; arm.use_vertex_groups = True; arm.use_bone_envelopes = False + if ob.data.shape_keys: + for k in [k for k in ob.data.shape_keys.key_blocks if k.name.startswith("uo_")]: + ob.shape_key_remove(k) + print("uo_bind_item: %s -> rigid on %s" % (ob.name, bone)) + + +if PART not in PARTS and PART not in RIGID: + raise ValueError("PART must be one of %s" % (list(PARTS) + list(RIGID))) +FOLLOW = PARTS[PART][1] if PART in PARTS else {} +pose = rig.data.pose_position +rig.data.pose_position = "REST" +bpy.context.view_layer.update() +try: + for ob in [o for o in bpy.context.selected_objects if o.type == "MESH" and o != body]: + if PART in RIGID: + bone = RIGID[PART] + if bone not in rig.data.bones: # older file without the shield / weapon bones + bone = {"shield.L": "forearm.L", "polearm.L": "hand.L", "axe2h.L": "hand.L", "bow.L": "hand.L", "weapon1h.R": "hand.R"}.get(bone, bone) + bind_rigid(ob, bone) + else: + bind(ob, PARTS[PART][0]) +finally: + rig.data.pose_position = pose diff --git a/third_party/UO_Model3D_v13/pipeline/uo_cloth_bake.py b/third_party/UO_Model3D_v13/pipeline/uo_cloth_bake.py new file mode 100644 index 0000000..e7f9a11 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_cloth_bake.py @@ -0,0 +1,612 @@ +# Cloth simulation for loose items (robe, dress, skirt, cloak): the hanging part falls, swings and collides with the +# body instead of following the bones rigidly. Run it AFTER uo_bind_item.py, with the items selected (Alt+P). +# 1. A simplified copy of the item (about SIM_VERTS vertices) is simulated with Blender's Cloth physics. What the +# bind put on the cloth chains (PART "skirt" / "robe" / "cloak") hangs free; the rest (shoulders, chest, sleeves) +# is pinned and follows the skeleton exactly. +# 2. Every UO action is simulated on its own: the item first settles for PREROLL frames in the action's first pose; +# looping actions (walk, run, stand) run LOOP_CYCLES times and the last cycle is kept, so the loop has no jump. +# In the mounted actions the horse (collection Horse_Proxy, one shape per frame) is a collider too. +# 3. The result is saved next to the .blend (OUT_DIR/.npz). render_uo_layer.py uses it automatically; after +# the bake, playing an action in the viewport shows it too (run the script again with BAKE = False to get that +# preview back after reopening the file). To go back to the plain bound item, run it with REMOVE = True. +# Bake again after changing the item, its fit or its binding. All actions take about 30-60 minutes; the progress +# is printed in the system console (Window > Toggle System Console), one line per action for the simulation and +# again for the check against the body (FIX_GAP). Blender's window stays alive meanwhile (uo_job.py): progress in the status +# bar at the bottom, ESC cancels (the item being baked is then not saved). +import bpy +import os +import numpy as np +import bmesh +from mathutils import Vector, Matrix, Quaternion +from mathutils.bvhtree import BVHTree + +MATERIAL = "wool" # silk, cotton, wool, leather (how light / flowing -> heavy / stiff the cloth is) +SIM_VERTS = 4000 # the simulated copy has about this many vertices (more = finer folds, slower) +ACTIONS = [] # e.g. ["00_walk_unarmed", "04_stand"]; empty = all actions on foot +LOOP_ACTIONS = [0, 1, 2, 3, 4, 7, 8, 23, 24, 25] # UO actions the game loops (walk, run, stand, combat idle) +MOUNTED = True # mounted actions too: the horse of every frame (collection Horse_Proxy) pushes the cloth +LOOP_CYCLES = 3 # looping actions: cycles simulated, the last one is kept +PREROLL = 40 # frames the cloth settles in the first pose of an action (at 24 fps) +QUALITY = 8 # cloth steps per frame (more = fewer tunnelling problems in fast attacks, slower) +GOAL = 0.5 # 0..1: how strongly the hanging part is pulled towards the bound shape (the cloth chains are + # fitted to the original UO robe / skirt / cloak frames): 0 = pure cloth, 1 = no cloth at all +SELF_COLLISION = True # layers of the item (a coat over a tunic) collide with each other, so the inner one never + # shows through the outer one (slower) +CHAIN_SWING = 0.5 # 0..1: how much of the cloth chains' swing (fitted to the UO sprites) the cloth is pulled + # towards; lower = calmer cloth in fast actions (war walk, run) +FRICTION = 1.0 # how much the cloth sticks to the body (lower: it slides off a leg instead of being dragged) +TIE = 0.03 # m: separate pieces of the item (layers, a skirt under a belt) closer than this are tied + # together, so no piece falls off +DISTANCE = 0.012 # m, the cloth keeps this far from the body +FIX_GAP = 0.004 # m: afterwards every frame is checked against the real posed body; parts of the item inside it + # or closer than this are pushed out, smoothly (skin never shows through). 0 = off +OUT_DIR = "//uo_cloth/" +BAKE = True # False: only (re)enable the viewport preview of an existing bake +REMOVE = False # True: forget the bake of the selected items (back to the plain bound item) +STEP = 3 # scene frames between two UO frames (as in render_uo_layer.py) + +MATERIALS = { # mass, tension/compression/shear stiffness, bending, damping (Blender's cloth presets) + "silk": (0.15, 5, 0.05, 0), + "cotton": (0.3, 15, 0.5, 5), + "wool": (0.5, 25, 3, 15), + "leather": (0.4, 80, 150, 25), +} +CHAIN = ("skirt_", "cloak_") # cloth chain bones of the v13 rig + +sc = bpy.context.scene +rig = bpy.data.objects["UO_Rig"] +body = bpy.data.objects["UO_Body"] + + +def log(msg): + print(msg, flush=True) + + +def cache_path(ob): + return bpy.path.abspath(OUT_DIR + bpy.path.clean_name(ob.name) + ".npz") + + +def weights(ob, n): + names = [g.name for g in ob.vertex_groups] + W = np.zeros((n, len(names))) + for v in ob.data.vertices: + for g in v.groups: + if g.group < len(names): + W[v.index, g.group] = g.weight + return W, names + + +def signature(ob): + """vertex count + coordinate sum of the item's rest shape: a bake of a changed item is not used""" + base = ob.data.shape_keys.key_blocks[0].data if ob.data.shape_keys else ob.data.vertices + co = np.empty(len(ob.data.vertices) * 3, np.float32); base.foreach_get("co", co) + return np.array([len(ob.data.vertices), float(np.abs(co.astype(np.float64)).sum())]) + + +def local_co(me): + co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co) + return co.reshape(-1, 3).astype(np.float64) + + +def make_proxy(item): + """simplified, welded copy of the item (same parent / transform / vertex groups), in rest shape""" + sim = item.copy(); sim.data = item.data.copy(); sim.name = item.name + "_uo_sim" + if "uo_cloth" in sim: + del sim["uo_cloth"] + for c in list(sim.users_collection): + c.objects.unlink(sim) + sc.collection.objects.link(sim) + sim.hide_render = True + if sim.data.shape_keys: + sim.shape_key_clear() + for m in list(sim.modifiers): + sim.modifiers.remove(m) + bm = bmesh.new(); bm.from_mesh(sim.data) + bmesh.ops.remove_doubles(bm, verts=bm.verts[:], dist=1e-5) # UV-seam splits would tear the cloth apart + bm.to_mesh(sim.data); bm.free() + n = len(sim.data.vertices) + if n > SIM_VERTS * 1.2: + dec = sim.modifiers.new("dec", "DECIMATE"); dec.ratio = SIM_VERTS / n + dg = bpy.context.evaluated_depsgraph_get() + me = bpy.data.meshes.new_from_object(sim.evaluated_get(dg), preserve_all_data_layers=True, depsgraph=dg) + sim.modifiers.remove(dec) + old = sim.data; sim.data = me; bpy.data.meshes.remove(old) + tie_pieces(sim.data) + return sim + + +def tie_pieces(me): + """loose edges (cloth springs) between vertices of different pieces closer than TIE""" + n = len(me.vertices) + E = np.array([e.vertices[:] for e in me.edges]).reshape(-1, 2) + lab = np.arange(n) + while True: # connected pieces + a = np.minimum(lab[E[:, 0]], lab[E[:, 1]]); nl = lab.copy() + np.minimum.at(nl, E[:, 0], a); np.minimum.at(nl, E[:, 1], a); nl = nl[nl] + if (nl == lab).all(): + break + lab = nl + if len(np.unique(lab)) < 2: + return + from mathutils.kdtree import KDTree + co = local_co(me); kd = KDTree(n) + for i, p in enumerate(co): + kd.insert(p, i) + kd.balance() + new = set() + for i, p in enumerate(co): + best = None + for q, j, d in kd.find_range(p, TIE): + if lab[j] != lab[i] and (best is None or d < best[1]): + best = (j, d) + if best: + new.add((min(i, best[0]), max(i, best[0]))) + if new: + k = len(me.edges); me.edges.add(len(new)) + for e, (i, j) in zip(list(me.edges)[k:], sorted(new)): + e.vertices = (i, j) + me.update() + + +def pin_weights(sim): + """1 = follows the skeleton, 0 = free cloth: free where the bind used the cloth chains; without chains (PART + "all") everything below the hips hangs free, sleeves stay pinned""" + n = len(sim.data.vertices) + W, names = weights(sim, n) + chain = [j for j, nm in enumerate(names) if nm.startswith(CHAIN)] + if chain: + free = W[:, chain].sum(1) + else: + Mw = np.array(sim.matrix_world); z = local_co(sim.data) @ Mw[2, :3] + Mw[2, 3] + hip = (rig.matrix_world @ rig.data.bones["pelvis"].head_local).z + t = np.clip((hip - 0.05 - z) / 0.25, 0, 1); free = t * t * (3 - 2 * t) + arm = [j for j, nm in enumerate(names) if nm.split(".")[0] in ("upper_arm", "forearm", "hand", + "upper_arm_twist", "forearm_twist") or nm.startswith("finger")] + free *= np.clip(1 - 2 * W[:, arm].sum(1), 0, 1) + pin = GOAL + (1 - GOAL) * np.clip(1 - 1.3 * free, 0, 1) + g = sim.vertex_groups.get("uo_pin") or sim.vertex_groups.new(name="uo_pin") + for i in range(n): + g.add([i], float(pin[i]), "REPLACE") + return pin + + +def add_cloth(sim, frames): + for m in [m for m in sim.modifiers if m.type == "CLOTH"]: + sim.modifiers.remove(m) + cm = sim.modifiers.new("UO_Cloth", "CLOTH"); s = cm.settings + mass, stiff, bend, damp = MATERIALS[MATERIAL] + s.quality = QUALITY; s.mass = mass + s.tension_stiffness = s.compression_stiffness = s.shear_stiffness = stiff + s.bending_stiffness = bend + s.tension_damping = s.compression_damping = s.shear_damping = damp + s.air_damping = 1.0 + s.vertex_group_mass = "uo_pin"; s.pin_stiffness = 1.0 + c = cm.collision_settings + c.use_collision = True; c.distance_min = DISTANCE; c.collision_quality = 4 + c.use_self_collision = SELF_COLLISION; c.self_distance_min = 0.006; c.self_friction = 5.0 + cm.point_cache.frame_start = 1; cm.point_cache.frame_end = frames + return cm + + +def colliders(): + """a simplified copy of the body (and a floor for the falls) pushes the cloth; returns the objects to delete""" + made = [] + col = body.copy(); col.data = body.data.copy(); col.name = "UO_Body_uo_collider" + for c in list(col.users_collection): + c.objects.unlink(col) + sc.collection.objects.link(col); col.hide_render = True + if col.data.shape_keys: + col.shape_key_clear() + for m in list(col.modifiers): + col.modifiers.remove(m) + dec = col.modifiers.new("dec", "DECIMATE"); dec.ratio = min(1.0, 5000 / len(col.data.vertices)) + dg = bpy.context.evaluated_depsgraph_get() + me = bpy.data.meshes.new_from_object(col.evaluated_get(dg), preserve_all_data_layers=True, depsgraph=dg) + col.modifiers.remove(dec); old = col.data; col.data = me; bpy.data.meshes.remove(old) + arm = col.modifiers.new("Armature", "ARMATURE"); arm.object = rig + col.modifiers.new("UO_Collision", "COLLISION") + col.collision.thickness_outer = DISTANCE; col.collision.cloth_friction = FRICTION + made.append(("obj", col, None)) + me = bpy.data.meshes.new("UO_Floor") + me.from_pydata([(-3, -3, 0), (3, -3, 0), (3, 3, 0), (-3, 3, 0)], [], [(0, 1, 2, 3)]) + fl = bpy.data.objects.new("UO_Floor", me); sc.collection.objects.link(fl); fl.hide_render = True + fl.modifiers.new("UO_Collision", "COLLISION"); fl.collision.thickness_outer = DISTANCE + made.append(("obj", fl, None)) + return made + + +def horse_shapes(a, nf): + """the horse proxy of every UO frame of a mounted action, as ONE mesh topology (frame 0's) moved onto each frame's + surface, so it can be a moving collider; None if the file has no horse for this action""" + hs = [bpy.data.objects.get("Horse_a%d_f%d" % (a, i)) for i in range(nf)] + if not hs or any(h is None for h in hs): + return None + def world(h): + co = local_co(h.data); M = np.array(h.matrix_world) + return co @ M[:3, :3].T + M[:3, 3] + base = world(hs[0]); out = [base] + for h in hs[1:]: + h.data.calc_loop_triangles() + bvh = BVHTree.FromPolygons([Vector(p) for p in world(h)], [t.vertices[:] for t in h.data.loop_triangles]) + out.append(np.array([bvh.find_nearest(Vector(p))[0][:] for p in base])) + return hs[0], out + + +def horse_collider(a, nf): + hs = horse_shapes(a, nf) + if hs is None: + return None, None + src, shapes = hs + me = src.data.copy(); me.name = "UO_Horse_uo_collider" + col = bpy.data.objects.new("UO_Horse_uo_collider", me); sc.collection.objects.link(col); col.hide_render = True + me.vertices.foreach_set("co", shapes[0].astype(np.float32).ravel()); me.update() + col.modifiers.new("UO_Collision", "COLLISION"); col.collision.thickness_outer = DISTANCE + col.collision.cloth_friction = FRICTION + return col, shapes + + +def poses(act, times): + """pose (matrix_basis of every bone) of the action at the given scene frames""" + rig.animation_data.action = act + out = {} + for t in sorted(set(times)): + sc.frame_set(t) + out[t] = [pb.matrix_basis.copy() for pb in rig.pose.bones] + return out + + +def simulate(sim, act): + """generator (one step per cloth frame, see uo_job.py); its return value is {UO frame: proxy vertex positions (object space)}""" + a = int(act["uo_action"]); nf = int(act["uo_frames"]) + f0, f1 = int(act.frame_range[0]), int(act.frame_range[1]) + L = f1 - f0 # cycle length (the last key = the first) + if a in LOOP_ACTIONS and L > 0: + t_of = lambda k: f0 + (k % L) + run = LOOP_CYCLES * L; keep0 = PREROLL + (LOOP_CYCLES - 1) * L + else: + t_of = lambda k: min(f0 + k, f1) + run = (nf - 1) * STEP + 1 if L > 0 else 1; keep0 = PREROLL + total = PREROLL + run + times = [f0] * PREROLL + [t_of(k) for k in range(run)] + P = poses(act, times) + rig.animation_data.action = None + horse, shapes = horse_collider(a, nf) if 23 <= a <= 29 else (None, None) + try: + add_cloth(sim, total) + want = {keep0 + 1 + i * STEP: i for i in range(nf)} + out = {} + chain = [pb.name.startswith(CHAIN) for pb in rig.pose.bones] + for s in range(1, total + 1): + for pb, m, ch in zip(rig.pose.bones, P[times[s - 1]], chain): + if ch and CHAIN_SWING < 1: # calmer chains: part of the way to rest + loc, q, sca = m.decompose() + m = Matrix.LocRotScale(loc, q.slerp(Quaternion(), 1 - CHAIN_SWING), sca) + pb.matrix_basis = m + if horse is not None: # the horse of this moment (blend of 2 frames) + u = (times[s - 1] - f0) / STEP; j0 = int(np.floor(u)); w = u - j0 + j1 = (j0 + 1) % nf if a in LOOP_ACTIONS else min(j0 + 1, nf - 1); j0 = min(j0, nf - 1) + horse.data.vertices.foreach_set("co", ((1 - w) * shapes[j0] + w * shapes[j1]).astype(np.float32).ravel()) + horse.data.update() + sc.frame_set(s) + if s in want: + dg = bpy.context.evaluated_depsgraph_get() + ev = sim.evaluated_get(dg); me = ev.to_mesh() + out[want[s]] = local_co(me).astype(np.float32); ev.to_mesh_clear() + yield "%s %s: cloth step %d / %d" % (sim.name.replace("_uo_sim", ""), act.name, s, total) + finally: + if horse is not None: + me = horse.data; bpy.data.objects.remove(horse); bpy.data.meshes.remove(me) + return out + + +def pieces(co, tris): + """connected piece of every vertex (vertices at the same place count as connected)""" + _, node = welded(co) + E = node[np.r_[tris[:, [0, 1]], tris[:, [1, 2]], tris[:, [2, 0]]]]; lab = np.arange(node.max() + 1) + while True: + a = np.minimum(lab[E[:, 0]], lab[E[:, 1]]); nl = lab.copy() + np.minimum.at(nl, E[:, 0], a); np.minimum.at(nl, E[:, 1], a); nl = nl[nl] + if (nl == lab).all(): + return lab[node] + lab = nl + + +def bind_to_proxy(item_co, item_tris, sim_co, tris): + """every item vertex rides on the nearest proxy triangle OF ITS OWN PIECE (a tunic under a coat follows the + tunic): barycentric point + offset along the normal and in the triangle plane""" + ip = pieces(item_co, item_tris); sp = pieces(sim_co, tris)[tris[:, 0]] + whole = BVHTree.FromPolygons([Vector(p) for p in sim_co], tris.tolist()) + votes = {} # item piece -> proxy piece (majority) + for i in range(0, len(item_co), 7): + f = whole.find_nearest(Vector(item_co[i]))[2] + votes.setdefault(ip[i], []).append(sp[f]) + own = {k: np.bincount(v).argmax() for k, v in votes.items()} + trees = {} + for q in np.unique(sp): + sel = np.nonzero(sp == q)[0] + trees[q] = (BVHTree.FromPolygons([Vector(p) for p in sim_co], tris[sel].tolist()), sel) + fi = np.zeros(len(item_co), np.int32); bc = np.zeros((len(item_co), 3)); off = np.zeros((len(item_co), 3)) + fr = frames_of(sim_co, tris) + for i, p in enumerate(item_co): + tree, sel = trees[own.get(ip[i], sp[0])] + loc, nrm, f, d = tree.find_nearest(Vector(p)); f = sel[f] + a, b, c = sim_co[tris[f]] + v0, v1, v2 = b - a, c - a, np.array(loc) - a + d00, d01, d11, d20, d21 = v0 @ v0, v0 @ v1, v1 @ v1, v2 @ v0, v2 @ v1 + den = max(d00 * d11 - d01 * d01, 1e-18) + v = (d11 * d20 - d01 * d21) / den; w = (d00 * d21 - d01 * d20) / den + fi[i] = f; bc[i] = (1 - v - w, v, w) + off[i] = fr[f] @ (p - np.array(loc)) + return fi, bc.astype(np.float32), off.astype(np.float32) + + +def frames_of(co, tris, vn=None): + """per triangle orthonormal frame (rows: edge dir, in-plane perpendicular, normal)""" + a, b, c = co[tris[:, 0]], co[tris[:, 1]], co[tris[:, 2]] + e1 = b - a; e1 /= np.maximum(np.linalg.norm(e1, axis=1, keepdims=True), 1e-12) + n = np.cross(b - a, c - a); n /= np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + e2 = np.cross(n, e1) + return np.stack([e1, e2, n], 1) + + +def apply_binding(sim_co, tris, fi, bc, off): + fr = frames_of(sim_co, tris)[fi] + base = (sim_co[tris[fi]] * bc[..., None]).sum(1) + return base + np.einsum("nk,nkj->nj", off, fr) + + +def welded(co): + """vertices at the same place (UV-seam splits) -> one node, so fixes never tear the item open""" + key = np.round(co / 1e-5).astype(np.int64) + _, first, node = np.unique(key, axis=0, return_index=True, return_inverse=True) + return first, node.ravel() + + +def push_out(X, bvh, E, deg): + """displacement that keeps the points X (body space) FIX_GAP outside the body; spread over the item (smooth)""" + D = np.zeros_like(X); look = np.arange(len(X)); reach = 0.1 + for it in range(12): + P = X + D; need = np.zeros(len(X)); N = np.zeros_like(X); near = [] + for i in look: + p = Vector(P[i]); loc, nrm, fi, dist = bvh.find_nearest(p, reach) + if loc is not None: + near.append(i); s = (p - loc).dot(nrm) + if s < FIX_GAP: + need[i] = FIX_GAP - s; N[i] = nrm + if it == 0: + look = np.array(near, int); reach = FIX_GAP + 0.05 + if not (need > 1e-4).any(): + break + D += need[:, None] * N + if it < 11: + for _ in range(2): + acc = np.zeros_like(D) + np.add.at(acc, E[:, 0], D[E[:, 1]]); np.add.at(acc, E[:, 1], D[E[:, 0]]) + D = np.where(deg[:, None] > 0, 0.5 * D + 0.5 * acc / np.maximum(deg, 1)[:, None], D) + look = np.union1d(look, np.nonzero(np.abs(D).max(1) > 1e-5)[0]) + return D + + +def fix_pass(item, data, done): + """generator (one step per frame, see uo_job.py): push every baked frame of the item out of the real posed body (see FIX_GAP); stored as sparse node offsets""" + base = item.data.shape_keys.key_blocks[0].data if item.data.shape_keys else item.data.vertices + ico = np.empty(len(item.data.vertices) * 3, np.float32); base.foreach_get("co", ico) + first, node = welded(ico.reshape(-1, 3).astype(np.float64)) + E = np.array([e.vertices[:] for e in item.data.edges]).reshape(-1, 2) + E = np.unique(np.sort(node[E], 1), axis=0); E = E[E[:, 0] != E[:, 1]] + deg = np.bincount(E.ravel(), minlength=len(first)).astype(float) + data["fix_node"] = node.astype(np.int32) + moved = 0 + for act in [a for a in bpy.data.actions if "uo_action" in a and int(a["uo_action"]) in done]: + a = int(act["uo_action"]); rig.animation_data.action = act + for i in range(int(data["frames_%d" % a])): + sc.frame_set(1 + i * STEP) + dg = bpy.context.evaluated_depsgraph_get() + ev = body.evaluated_get(dg); me = ev.to_mesh(); bco = local_co(me) + me.calc_loop_triangles(); btri = [t.vertices[:] for t in me.loop_triangles]; ev.to_mesh_clear() + hz = bpy.data.objects.get("Horse_a%d_f%d" % (a, i)) if 23 <= a <= 29 else None + if hz is not None: # mounted: the horse of this frame too + Hm = np.array(body.matrix_world.inverted() @ hz.matrix_world); hco = local_co(hz.data) + hz.data.calc_loop_triangles() + btri = btri + [tuple(k + len(bco) for k in t.vertices) for t in hz.data.loop_triangles] + bco = np.r_[bco, hco @ Hm[:3, :3].T + Hm[:3, 3]] + bvh = BVHTree.FromPolygons([Vector(p) for p in bco], btri) + M = np.array(body.matrix_world.inverted() @ item.matrix_world) + co = apply_binding(data["a%d_f%d" % (a, i)].astype(np.float64), data["tris"], data["fi"], data["bc"], + data["off"])[first] + D = push_out(co @ M[:3, :3].T + M[:3, 3], bvh, E, deg) @ np.linalg.inv(M[:3, :3]).T + idx = np.nonzero(np.abs(D).max(1) > 2e-4)[0] + data["d%d_f%d_i" % (a, i)] = idx.astype(np.int32) + data["d%d_f%d_v" % (a, i)] = D[idx].astype(np.float16) + moved = max(moved, len(idx)) + yield "%s %s: checking frame %d against the body" % (item.name, act.name, i + 1) + log("uo_cloth_bake: %s %s: checked against the body" % (item.name, act.name)) + log("uo_cloth_bake: %s pushed out of the body (up to %d points per frame)" % (item.name, moved)) + + +def fix_offsets(c, a, i, n): + """per-vertex fix of frame i of action a (zeros if none)""" + k = "d%d_f%d_i" % (a, i) + if "fix_node" not in c or k not in c: + return 0.0 + Dn = np.zeros((int(c["fix_node"].max()) + 1, 3)); Dn[c[k]] = c["d%d_f%d_v" % (a, i)] + return Dn[c["fix_node"]] + + +# ---------------------------------------------------------------- preview / render support (shared with the renderer) +_cache = {} + + +def load(ob): + p = ob.get("uo_cloth") + if not p: + return None + p = bpy.path.abspath(p) + if p not in _cache: + if not os.path.exists(p): + return None + d = np.load(p); _cache[p] = {k: d[k] for k in d.files} + return _cache[p] + + +def show(ob, a, t): + """put the item in the baked shape of UO action a at UO frame t (float: blends two frames); False = no bake""" + c = load(ob) + if c is not None and not np.allclose(c["item_sig"], signature(ob), rtol=1e-5): + c = None # the item changed since the bake + arm = [m for m in ob.modifiers if m.type == "ARMATURE"] + key = ob.data.shape_keys.key_blocks.get("uo_cloth") if ob.data.shape_keys else None + n = int(c["frames_%d" % a]) if c is not None and ("frames_%d" % a) in c else 0 + if n == 0: + for m in arm: + m.show_viewport = m.show_render = True + if key: + key.value = 0.0 + return False + i0 = int(np.floor(t)) % n; i1 = (i0 + 1) % n; w = t - np.floor(t) + if a not in LOOP_ACTIONS and i0 == n - 1: + i1, w = i0, 0.0 + sim_co = (1 - w) * c["a%d_f%d" % (a, i0)].astype(np.float64) + w * c["a%d_f%d" % (a, i1)].astype(np.float64) + co = apply_binding(sim_co, c["tris"], c["fi"], c["bc"], c["off"]) + co = co + (1 - w) * fix_offsets(c, a, i0, len(co)) + w * fix_offsets(c, a, i1, len(co)) + if key is None: + if ob.data.shape_keys is None: + ob.shape_key_add(name="Basis", from_mix=False) + key = ob.shape_key_add(name="uo_cloth", from_mix=False) + key.data.foreach_set("co", co.astype(np.float32).ravel()); key.value = 1.0 + for m in arm: + m.show_viewport = m.show_render = False + ob.data.update() + return True + + +def rest(ob): + for m in ob.modifiers: + if m.type == "ARMATURE": + m.show_viewport = m.show_render = True + if ob.data.shape_keys and "uo_cloth" in ob.data.shape_keys.key_blocks: + ob.data.shape_keys.key_blocks["uo_cloth"].value = 0.0 + + +def preview(scene, *_): + act = rig.animation_data.action if rig.animation_data else None + if act is None or "uo_action" not in act or rig.data.pose_position != "POSE": + for ob in [o for o in scene.objects if "uo_cloth" in o]: + rest(ob) + return + t = (scene.frame_current - 1) / STEP + for ob in [o for o in scene.objects if "uo_cloth" in o]: + show(ob, int(act["uo_action"]), t) + + +def enable_preview(): + for h in [h for h in bpy.app.handlers.frame_change_post if getattr(h, "__name__", "") == "uo_cloth_preview"]: + bpy.app.handlers.frame_change_post.remove(h) + def uo_cloth_preview(scene, *a): + preview(scene) + bpy.app.handlers.frame_change_post.append(uo_cloth_preview) + + +# ---------------------------------------------------------------- main +def bake(item): + """generator (see uo_job.py): bakes one item, yields after every cloth step""" + if not any(m.type == "ARMATURE" for m in item.modifiers): + raise RuntimeError("%s is not bound - run uo_bind_item.py first" % item.name) + if not bpy.data.filepath: + raise RuntimeError("save the .blend first (the bake is written next to it)") + rest(item) + log("uo_cloth_bake: %s - preparing (the first action line comes after a few minutes)" % item.name) + state = dict(pose=rig.data.pose_position, act=rig.animation_data.action, frame=sc.frame_current, + d=rig.get("uo_direction", 0)) + rig.data.pose_position = "REST"; bpy.context.view_layer.update() + sim = make_proxy(item) + pin = pin_weights(sim) + arm = sim.modifiers.new("Armature", "ARMATURE"); arm.object = rig + sim_rest = local_co(sim.data) + sim.data.calc_loop_triangles() + tris = np.array([t.vertices[:] for t in sim.data.loop_triangles], np.int32) + base = item.data.shape_keys.key_blocks[0].data if item.data.shape_keys else item.data.vertices + ico = np.empty(len(item.data.vertices) * 3, np.float32); base.foreach_get("co", ico) + item.data.calc_loop_triangles() + itris = np.array([t.vertices[:] for t in item.data.loop_triangles], np.int32) + fi, bc, off = bind_to_proxy(ico.reshape(-1, 3).astype(np.float64), itris, sim_rest, tris) + made = colliders() + hidden = [o for o in sc.objects if o.type == "MESH" and o is not sim and not o.hide_viewport + and not o.name.startswith(("UO_Floor", "UO_Body_uo_collider"))] + for o in hidden: + o.hide_viewport = True # not evaluated while simulating (faster) + rig.data.pose_position = "POSE"; rig["uo_direction"] = 0 + data = dict(tris=tris, fi=fi, bc=bc, off=off, sim_rest=sim_rest.astype(np.float32), item_sig=signature(item)) + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + done = [] + try: + try: + for act in acts: + a = int(act["uo_action"]) + if (ACTIONS and act.name not in ACTIONS) or (23 <= a <= 29 and not MOUNTED): + continue + res = yield from simulate(sim, act) + for i, co in res.items(): + data["a%d_f%d" % (a, i)] = co + data["frames_%d" % a] = np.array(len(res)) + done.append(a) + log("uo_cloth_bake: %s %s: %d frames" % (item.name, act.name, len(res))) + finally: + for o in hidden: + o.hide_viewport = False + for kind, ob, name in made + [("obj", sim, None)]: + if kind == "mod": + ob.modifiers.remove(ob.modifiers[name]) + else: + me = ob.data; bpy.data.objects.remove(ob); bpy.data.meshes.remove(me) + if FIX_GAP > 0 and done: + yield from fix_pass(item, data, done) + finally: + rig.data.pose_position = state["pose"]; rig.animation_data.action = state["act"] + rig["uo_direction"] = state["d"]; sc.frame_set(state["frame"]) + old = load(item) # keep other actions baked earlier + if old is not None and ACTIONS and old["sim_rest"].shape == data["sim_rest"].shape \ + and np.allclose(old["sim_rest"], data["sim_rest"], atol=1e-4) and len(old["fi"]) == len(fi): + for k, v in old.items(): + if k.startswith("frames_"): + a = int(k[7:]) + elif k.startswith(("a", "d")) and "_f" in k: + a = int(k[1:k.index("_f")]) + else: + continue + if a not in done: + data[k] = v + p = cache_path(item); os.makedirs(os.path.dirname(p), exist_ok=True) + np.savez_compressed(p, **data) + _cache.pop(p, None) + item["uo_cloth"] = bpy.path.relpath(p) + log("uo_cloth_bake: %s -> %s (%d vertices simulated, %d pinned)" % (item.name, p, len(sim_rest), (pin > 0.99).sum())) + + +if __name__ == "__main__" and REMOVE: + for ob in [o for o in bpy.context.selected_objects if "uo_cloth" in o]: + rest(ob); del ob["uo_cloth"] + if ob.data.shape_keys and "uo_cloth" in ob.data.shape_keys.key_blocks: + ob.shape_key_remove(ob.data.shape_keys.key_blocks["uo_cloth"]) + log("uo_cloth_bake: %s back to the bound item" % ob.name) +elif __name__ == "__main__": + items = [o for o in bpy.context.selected_objects if o.type == "MESH" and o != body and "_uo_sim" not in o.name] if BAKE else [] + + def job(): + for ob in items: + yield from bake(ob) + + def finish(): + enable_preview() + log("uo_cloth_bake: viewport preview on (play an action of UO_Rig in Pose Position)") + + def abort(why): + log("uo_cloth_bake: %s - the item being baked was not saved (finished items were)" % why) + + # one cloth step per modal step: Blender's window stays alive for the 30-60 minutes (progress in the status bar, ESC cancels) + if "uo_job.py" in bpy.data.texts: + bpy.data.texts["uo_job.py"].as_module().run(job(), "uo_cloth_bake", finish, abort) + else: + for _ in job(): + pass + finish() diff --git a/third_party/UO_Model3D_v13/pipeline/uo_fit_item.py b/third_party/UO_Model3D_v13/pipeline/uo_fit_item.py new file mode 100644 index 0000000..63d483c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_fit_item.py @@ -0,0 +1,339 @@ +# Fit the SELECTED item meshes onto the UO body (rest pose) before uo_bind_item.py. Place and size the item yourself; +# this script only fixes how it sits on the body: +# 1. Sleeves (MATCH_ARMS): an item made for a body with the arms lower / higher / more forward (or bent) has the UO +# arms sticking out of its sleeves. The script finds the arm pose that fits into the sleeves and turns the sleeves +# (and the item around the shoulders, like a skin) from that pose to the UO body's arms. Items without sleeves +# (vest, cuirass) and sleeves that already sit on the arms are left alone. +# 2. Push: every part closer to the skin than MIN_GAP (or inside the body) is pushed out along the skin normal. A push +# moves the whole area around it the same way and fades out smoothly over max(RADIUS, SPREAD x the push), so a +# sleeve sitting 5 cm too deep is widened / moved as a whole instead of getting a bump; details (folds, rivets) +# move with their area and are kept. Layers (a coat over a tunic) move together and stay in order. +# 3. MAX_GAP > 0 also pulls parts that stand off more than that back towards the skin, only where the whole area +# around (RADIUS) stands off, so the thickness of the item is kept. +# Run it with the item selected (Alt+P); then run uo_bind_item.py. Running it again changes nothing once it fits. +# Existing shape keys get the same change. Faces much bigger than the gap can still cut through the skin between +# their corners: subdivide such an item first (Edit Mode, A, right click > Subdivide, Number of Cuts 2). +import bpy +import numpy as np +from mathutils import Vector +from mathutils.bvhtree import BVHTree +from mathutils.kdtree import KDTree + +KIND = "" # kind of item (as in uo_import_item.py): shirt, pants, boots, gloves, plate, legs, arms, helm, ... ("" = not given) +MIN_GAP = -1.0 # m, no part of the item closer to the skin than this (0 = only out of the body); < 0 = from KIND (GAP_BY_KIND, else 0.015) +# MIN_GAP by KIND, measured on thin body-hugging replicas against the original sprites (test_items.py --fit, IoU at 0.015 / 0.03 / 0.045): +# close-fitting cloth and leather is best at 0.015 (shirt .746/.727/.681, pants .801/.793/.747, boots .771/.755/.693, gloves .579/.576/.526); thick armour, +# helmets and sleeves at 0.03 (plate .702/.725/.706, helm .770/.783/.658, arms .615/.619/.598, legs .667/.673/.651). The sprites agree: shirts, trousers, boots +# stand 1 px (2.8 cm) off the silhouette of the body, plate / helmets / robes 2-4 px (docs/qa/layer_analysis.md). +GAP_BY_KIND = {"shirt": 0.015, "pants": 0.015, "boots": 0.015, "gloves": 0.015, "plate": 0.03, "legs": 0.03, "arms": 0.03, "helm": 0.03} +MAX_GAP = 0.0 # m, > 0: pull parts standing off more than this towards the skin (0 = off) +RADIUS = 0.04 # m, smallest area a push spreads over +SPREAD = 3.0 # a push of d spreads over at least SPREAD * d (bigger = broader, gentler swelling) +ITERATIONS = 12 # push rounds at most (it stops as soon as nothing is too close) +MATCH_ARMS = True # first turn the sleeves onto the arms: finds how much lower / higher / more forward the arms of + # the body the item was made for were, and turns the sleeves (and the item around the shoulders) + # by that much, so the arms sit inside the sleeves before anything is pushed +MAX_TURN = 35 # deg, the most the sleeves may be turned +MIN_GAIN = 3.0 # turn only if it fits the arms clearly better (so running the script again changes nothing) +SLIM = 1.0 # < 1 makes the item narrower below the chest (e.g. 0.85 = 15 % narrower at the hips and below), + # towards the body's middle; sleeves and the chest are left as they are. Run once per change: + # every run slims again + +if MIN_GAP < 0: + MIN_GAP = GAP_BY_KIND.get(KIND, 0.015) + +body = bpy.data.objects["UO_Body"] +rig = bpy.data.objects["UO_Rig"] + + +def body_bvh(): + me = body.data + kb = me.shape_keys.key_blocks["Basis"] if me.shape_keys else None + co = np.empty(len(me.vertices) * 3, np.float32) + (kb.data if kb else me.vertices).foreach_get("co", co) + me.calc_loop_triangles() + tri = [t.vertices[:] for t in me.loop_triangles] + return BVHTree.FromPolygons([Vector(p) for p in co.reshape(-1, 3)], tri) + + +def skin(bvh, P, reach=None): + """nearest skin normal and signed distance (< 0 inside the body) of every point; points farther than `reach` + get S = reach (not looked at closer - quick)""" + N = np.zeros_like(P); S = np.full(len(P), np.inf if reach is None else reach) + for i, p in enumerate(P): + v = Vector(p) + loc, nrm, fi, d = bvh.find_nearest(v) if reach is None else bvh.find_nearest(v, reach) + if loc is not None: + N[i] = nrm; S[i] = (v - loc).dot(nrm) + return N, S + + +def push_field(Q, V, strict=False): + """push vectors V (non-zero at the parts that are too close) -> displacement of every point: each push moves the + points around it by its own vector, fading out over max(RADIUS, SPREAD * |push|); where pushes overlap the biggest + sets how far and the (weighted) mean of their directions sets where to, so the area moves as one""" + mag = np.linalg.norm(V, axis=1) + src = np.nonzero(mag > 1e-5)[0] + src = src[np.argsort(-mag[src])] + F = np.zeros(len(Q)); Dsum = np.zeros_like(Q); Wsum = np.zeros(len(Q)) + for i in src: + if F[i] >= mag[i] and Dsum[i] @ V[i] > 0.95 * np.linalg.norm(Dsum[i]) * mag[i]: + continue # already covered by a bigger push the same way + R = max(RADIUS, SPREAD * mag[i]) + near = np.nonzero(np.abs(Q - Q[i]).max(1) < R)[0] + w = np.clip(1 - np.sum((Q[near] - Q[i]) ** 2, 1) / R ** 2, 0, None) ** 2 + F[near] = np.maximum(F[near], mag[i] * w) + Dsum[near] += (w ** 2)[:, None] * V[i] + Wsum[near] += w ** 2 * mag[i] + if strict: # pushes that disagree do not cancel out + return F[:, None] * Dsum / np.maximum(np.linalg.norm(Dsum, axis=1), 1e-12)[:, None] + return F[:, None] * Dsum / np.maximum(Wsum, 1e-12)[:, None] + + +def rot(axis, ang): + a = np.asarray(axis, float) / np.linalg.norm(axis) + K = np.array([[0, -a[2], a[1]], [a[2], 0, -a[0]], [-a[1], a[0], 0]]) + return np.eye(3) + np.sin(ang) * K + (1 - np.cos(ang)) * K @ K + + +def about(R, p): + T = np.eye(4); T[:3, :3] = R; T[:3, 3] = p - R @ p + return T + + +def subtree(bone): + return {bone.name} | {c.name for c in bone.children_recursive} + + +class Arms: + """the body's arms: joints, the share of every skin vertex that moves with the upper arm / forearm, arm radii""" + def __init__(self): + me = body.data + kb = me.shape_keys.key_blocks["Basis"] if me.shape_keys else None + co = np.empty(len(me.vertices) * 3, np.float32) + (kb.data if kb else me.vertices).foreach_get("co", co) + self.V = co.reshape(-1, 3).astype(np.float64) + B = np.array(body.matrix_world.inverted() @ rig.matrix_world) # armature -> body space + Rw = np.array(body.matrix_world.inverted().to_3x3()) + self.X = Rw @ [1, 0, 0]; self.Y = Rw @ [0, 1, 0]; self.fwd = Rw @ [0, -1, 0] + gi = {g.name: g.index for g in body.vertex_groups} + W = np.zeros((len(self.V), len(body.vertex_groups))) + for v in me.vertices: + for g in v.groups: + W[v.index, g.group] = g.weight + bones = rig.data.bones; self.side = {} + for sd, sg in (("L", 1), ("R", -1)): + if "upper_arm." + sd not in bones: + continue + j = [B[:3, :3] @ bones[n + "." + sd].head_local + B[:3, 3] for n in ("upper_arm", "forearm", "hand")] + wU = W[:, [gi[n] for n in subtree(bones["upper_arm." + sd]) if n in gi]].sum(1) + wF = W[:, [gi[n] for n in subtree(bones["forearm." + sd]) if n in gi]].sum(1) + wH = W[:, [gi[n] for n in subtree(bones["hand." + sd]) if n in gi]].sum(1) + rU = np.percentile(seg_dist(self.V[(wU - wF) > 0.8], j[0], j[1]), 60) + rF = np.percentile(seg_dist(self.V[((wF - wH) > 0.8)], j[1], j[2]), 60) + kE = np.cross(j[1] - j[0], self.fwd); kE /= np.linalg.norm(kE) + self.side[sd] = dict(s=sg, j=j, wU=wU, wF=wF, r=(rU, rF), kE=kE) + + def T(self, sd, up, fw, el): + a = self.side[sd]; j = a["j"] + TU = about(rot(self.Y, -a["s"] * up) @ rot(self.X, -fw), j[0]) + return TU, TU @ about(rot(a["kE"], el), j[1]) + + +def seg_dist(P, a, b): + ab = b - a; t = np.clip((P - a) @ ab / (ab @ ab), 0, 1) + return np.linalg.norm(P - (a + t[:, None] * ab), axis=1) + + +def match_arms(Q, edges, gbvh): + """turn the item from the arm pose it was made in to the body's pose (see MATCH_ARMS); Q: item points, body space""" + arms = Arms(); found = {}; lim = np.radians(MAX_TURN) + dirs = [(np.cos(t), np.sin(t)) for t in np.linspace(0, 2 * np.pi, 8, endpoint=False)] + + def cost(sd, x, misses=False): + TU, TF = arms.T(sd, *x) + j = arms.side[sd]["j"]; rU, rF = arms.side[sd]["r"] + a = TU[:3, :3] @ j[0] + TU[:3, 3]; b = TU[:3, :3] @ j[1] + TU[:3, 3]; c = TF[:3, :3] @ j[2] + TF[:3, 3] + c_ = 0.0; miss = 0 + for p0, p1, r, ts in ((a, b, rU, (0.4, 0.55, 0.7, 0.85, 1.0)), (b, c, rF, (0.15, 0.3, 0.45))): + ax = (p1 - p0) / np.linalg.norm(p1 - p0) + u = np.cross(ax, arms.fwd); u /= np.linalg.norm(u); w = np.cross(ax, u) + for t in ts: + p = Vector(p0 + t * (p1 - p0)) + for cs, sn in dirs: + hit = gbvh.ray_cast(p, Vector(cs * u + sn * w), 0.35) + if hit[0] is None: + c_ += 1.0; miss += 1 # the arm is not inside the item here + else: + c_ += 4 * max(0.0, (r + 0.01 - hit[3]) / r) ** 2 # the item cuts into the arm + return (miss, len(dirs) * 8) if misses else c_ + 2.0 * float(np.sum(np.square(x))) + + tried = [] + for sd in arms.side: + g = np.radians(np.arange(-MAX_TURN, MAX_TURN + 0.1, 5.0)) + ge = np.radians(np.arange(-10, 60.1, 10.0)) # elbow: -10 (straighter) .. 60 deg bent + cand = [(cost(sd, (u, f, e)), (u, f, e)) for u in g for f in g if abs(f) <= np.radians(25) for e in ge] + cand += [(cost(sd, tuple(x)), tuple(x)) for x in tried] # the other sleeve's answer (same numbers = mirrored) + f, x = min(cand, key=lambda r: r[0]) # up, forward and elbow together: a sleeve made + x = list(x) # with a bent elbow is found from any start + for st in np.radians([4.0, 2.0, 1.0, 0.5]): # refine + imp = True + while imp: + imp = False + for k in range(3): + for sg in (1, -1): + y = list(x); y[k] = float(np.clip(y[k] + sg * st, -lim, lim) if k < 2 else np.clip(y[k] + sg * st, -0.2, 1.05)) + fy = cost(sd, y) + if fy < f - 1e-9: + f, x, imp = fy, y, True + tried.append(tuple(x)) + miss, rays = cost(sd, x, True) + if miss > rays // 8: # no sleeve around this arm (vest, cuirass) + continue + if f < cost(sd, (0.0, 0.0, 0.0)) - MIN_GAIN: # else the sleeve already sits on the arm + found[sd] = x + if not found: + return Q, "none" + # the item follows the posed body like the skin under it: weights from the nearest skin point, smoothed over the item + PV = arms.V.copy(); Ts = {} + for sd, x in found.items(): + a = arms.side[sd]; TU, TF = arms.T(sd, *x); Ts[sd] = (TU, TF) + for w, T in ((a["wU"] - a["wF"], TU), (a["wF"], TF)): + PV += w[:, None] * ((arms.V @ T[:3, :3].T + T[:3, 3]) - arms.V) + kd = KDTree(len(PV)) + for i, p in enumerate(PV): + kd.insert(p, i) + kd.balance() + near = np.array([kd.find(p)[1] for p in Q]) + kq = KDTree(len(Q)) # pieces that touch (cuffs, trims, collars) + for i, p in enumerate(Q): # move with what they touch + kq.insert(p, i) + kq.balance() + touch = [(i, j) for i, p in enumerate(Q) for co, j, d in kq.find_range(p, 0.004) if j > i] + if touch: + edges = np.r_[edges, np.array(touch)] + M = np.tile(np.eye(4), (len(Q), 1, 1)) + for sd in found: + a = arms.side[sd]; TU, TF = Ts[sd] + for w, T in ((a["wU"] - a["wF"], TU), (a["wF"], TF)): + wq = w[near] + for _ in range(8): # smooth over the item + acc = wq.copy(); cnt = np.ones(len(Q)) + np.add.at(acc, edges[:, 0], wq[edges[:, 1]]); np.add.at(acc, edges[:, 1], wq[edges[:, 0]]) + np.add.at(cnt, edges[:, 0], 1); np.add.at(cnt, edges[:, 1], 1) + wq = acc / cnt + M += wq[:, None, None] * (T - np.eye(4)) + Qh = np.c_[Q, np.ones(len(Q))] + Qr = np.linalg.solve(M, Qh[:, :, None])[:, :3, 0] + txt = " | ".join("%s: %+.0f up %+.0f fwd %+.0f elbow" % (sd, *np.degrees(x)) for sd, x in found.items()) + return Qr, txt + + +def slim(Q, edges, arms): + """narrower below the chest (see SLIM): each height is scaled towards the middle of the body at that height""" + V = arms.V + armw = sum(a["wU"] for a in arms.side.values()) + B = np.array(body.matrix_world.inverted() @ rig.matrix_world) + zt = (B @ np.r_[list(rig.data.bones["chest"].head_local), 1])[2] # chest: nothing changes above + zf = (B @ np.r_[list(rig.data.bones["pelvis"].head_local), 1])[2] # pelvis: full SLIM below + core = V[armw < 0.3] + kb = np.clip(((core[:, 2] - core[:, 2].min()) / 0.02).astype(int), 0, None) + nb = kb.max() + 1 + cnt = np.bincount(kb, minlength=nb).astype(float) + cx = np.bincount(kb, core[:, 0], nb); cy = np.bincount(kb, core[:, 1], nb) + ok = cnt > 0; ib = np.arange(nb) + cx = np.interp(ib, ib[ok], cx[ok] / cnt[ok]); cy = np.interp(ib, ib[ok], cy[ok] / cnt[ok]) + for _ in range(3): # smooth the middle line over height + cx = np.convolve(np.pad(cx, 2, mode="edge"), np.ones(5) / 5, "valid") + cy = np.convolve(np.pad(cy, 2, mode="edge"), np.ones(5) / 5, "valid") + k = np.clip(((Q[:, 2] - core[:, 2].min()) / 0.02).astype(int), 0, nb - 1) + c = np.c_[cx[k], cy[k]] + kd = KDTree(len(V)) + for i, p in enumerate(V): + kd.insert(p, i) + kd.balance() + aw = armw[np.array([kd.find(p)[1] for p in Q])] + for _ in range(8): # smooth over the item + acc = aw.copy(); n = np.ones(len(Q)) + np.add.at(acc, edges[:, 0], aw[edges[:, 1]]); np.add.at(acc, edges[:, 1], aw[edges[:, 0]]) + np.add.at(n, edges[:, 0], 1); np.add.at(n, edges[:, 1], 1) + aw = acc / n + t = np.clip((zt - Q[:, 2]) / max(zt - zf, 1e-6), 0, 1); t = t * t * (3 - 2 * t) + s = 1 - (1 - SLIM) * t * np.clip(1 - 2 * aw, 0, 1) + out = Q.copy(); out[:, :2] = c + (Q[:, :2] - c) * s[:, None] + return out + + +def fit(ob, bvh): + me = ob.data + M = np.array(body.matrix_world.inverted() @ ob.matrix_world) # item -> body space + Mi = np.linalg.inv(M) + base = me.shape_keys.key_blocks[0] if me.shape_keys else None + co = np.empty(len(me.vertices) * 3, np.float32) + (base.data if base else me.vertices).foreach_get("co", co) + local = co.reshape(-1, 3).astype(np.float64) + P0 = local @ M[:3, :3].T + M[:3, 3] + # vertices at the same place (split at UV seams / sharp edges) move as one, so the item does not tear open + key = np.round(P0 / 1e-5).astype(np.int64) + _, first, node = np.unique(key, axis=0, return_index=True, return_inverse=True) + node = node.ravel(); Q0 = P0[first] + Q = Q0.copy() + S0 = skin(bvh, Q0, MIN_GAP + 0.3)[1][node] + turn = "" + if MATCH_ARMS or SLIM < 1: + me.calc_loop_triangles() + tri = node[np.array([t.vertices[:] for t in me.loop_triangles])] + edges = np.unique(np.sort(np.r_[tri[:, [0, 1]], tri[:, [1, 2]], tri[:, [2, 0]]], 1), axis=0) + edges = edges[edges[:, 0] != edges[:, 1]] + if MATCH_ARMS: + gbvh = BVHTree.FromPolygons([Vector(p) for p in Q0], tri.tolist()) + Q, turn = match_arms(Q0, edges, gbvh) + turn = " | sleeves turned: " + turn + if SLIM < 1: + Q = slim(Q, edges, Arms()) + turn += " | slimmed to %.2f" % SLIM + rounds = 0 + Sn = skin(bvh, Q)[1] + close = np.nonzero(Sn < MIN_GAP + 0.05)[0] # only these can end up too close + for rounds in range(1, ITERATIONS + 1): # push out + N = np.zeros_like(Q); S = np.full(len(Q), np.inf) + N[close], S[close] = skin(bvh, Q[close]) + need = np.maximum(0, MIN_GAP - S) + if not (need > 2e-4).any(): + rounds -= 1 + break + Q = Q + push_field(Q, np.where(need[:, None] > 2e-4, need[:, None] * N, 0), strict=rounds > ITERATIONS // 2) + if MAX_GAP > 0: # pull in (thickness kept) + N, S = skin(bvh, Q) + pull = np.maximum(0, S - MAX_GAP); out = np.zeros(len(Q)) + kd = KDTree(len(Q)) + for i, p in enumerate(Q): + kd.insert(p, i) + kd.balance() + for j in range(len(Q)): + out[j] = min(pull[i] for co, i, d in kd.find_range(Q[j], RADIUS)) + Q = Q - out[:, None] * N + S1 = skin(bvh, Q, MIN_GAP + 0.3)[1][node] + D = (Q - Q0)[node] + delta = D @ Mi[:3, :3].T # back to item space + if me.shape_keys: + for k in me.shape_keys.key_blocks: + c = np.empty(len(me.vertices) * 3, np.float32); k.data.foreach_get("co", c) + k.data.foreach_set("co", (c.reshape(-1, 3) + delta).ravel().astype(np.float32)) + me.vertices.foreach_set("co", (local + delta).ravel().astype(np.float32)) + me.update() + mv = np.linalg.norm(D, axis=1) + print("uo_fit_item: %s | inside body %d -> %d verts | closest %.1f -> %.1f mm | moved %d verts, max %.1f mm | %d rounds" + % (ob.name, (S0 < 0).sum(), (S1 < 0).sum(), S0.min() * 1000, S1.min() * 1000, + (mv > 1e-4).sum(), mv.max() * 1000, rounds) + turn) + + +pose = rig.data.pose_position +rig.data.pose_position = "REST" +bpy.context.view_layer.update() +try: + bvh = body_bvh() + for ob in [o for o in bpy.context.selected_objects if o.type == "MESH" and o != body]: + fit(ob, bvh) +finally: + rig.data.pose_position = pose diff --git a/third_party/UO_Model3D_v13/pipeline/uo_import_item.py b/third_party/UO_Model3D_v13/pipeline/uo_import_item.py new file mode 100644 index 0000000..043d134 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_import_item.py @@ -0,0 +1,153 @@ +# Bring a model from outside (a free 3D model: .glb / .gltf / .fbx / .obj / .dae / .stl / .ply) onto the UO body, ready for uo_fit_item.py and +# uo_bind_item.py. Foreign models come in any size, any place, often with their own skeleton and weights; this script does the dull part: +# 1. imports the file and bakes every mesh as it looks now (its own armature / modifiers applied; shape keys, vertex groups, parents and +# the armature, empties, lights, cameras of the file are dropped: uo_bind_item.py makes the skin weights from the UO body), +# 2. joins the meshes into one object (JOIN) and puts it in the collection "Clothing", selected, +# 3. scales it (uniformly) and moves it so that its height lands where the ORIGINAL UO item of the same KIND stands on the body: the lowest +# and highest point of the original sprites in the rest pose (EXTENTS, measured from anim 431, 434, 449, 468, 477, 527, 528, 529, 530, +# 563; hair, beard, hat, neck: medians of the whole layer). Sideways and front-back it is centred on the body at that height. Tell it SCALE = a number to scale yourself instead. +# Then: check that the FRONT of the item looks at the camera of the front view (Numpad 1) - if it is the other way round, set TURN = 180 and +# run again - run uo_fit_item.py, and uo_bind_item.py with the PART of the table below. Work in Rest Position (UO_Rig > Pose > Rest Position). +# Run from Blender's Text Editor (Alt+P) in UO_Body_0x190.blend, or headless: UO_IMPORT_FILE=... UO_IMPORT_KIND=... (see pipeline/test_import_item.py). +# A file often holds more than the item (the model's body, eyes, helper shapes): the meshes are listed, name the ones to leave out in SKIP. +# Remember to keep the item under ~20k vertices (Decimate modifier) and to check the licence of the model you use. +import os +import bpy +import bmesh +import numpy as np +from mathutils import Matrix + +FILE = "" # path of the model to import ("" = take the SELECTED mesh objects instead, e.g. something you appended yourself) +KIND = "shirt" # shirt, plate, arms, pants, legs, boots, gloves, helm, skirt, cloak, robe, neck, hair, beard, hat ("" = do not scale or move; only clean + join) +SCALE = 0.0 # > 0: uniform scale you give (the item is then only moved), 0 = from the height of KIND +TURN = 0 # deg around the vertical axis (180 when the item came in back to front) +JOIN = True # one object out of all the meshes of the file (False: they stay separate objects, each scaled alike) +SKIP = () # names (parts of names, any case) of meshes of the file to leave out: eyes, the model's body, helper shapes, collision meshes +NAME = "" # name of the result ("" = file name) +PERCENT = 0.5 # the height is measured between the PERCENT and 100 - PERCENT percentile of the vertices (a stray spike does not count) + +# measured on the original sprites (stand, mean of the 5 directions): z of the lowest and highest point of the item in the rest pose, m +# (the ground is z = 0), and the PART of uo_bind_item.py that belongs to the KIND +EXTENTS = {"shirt": (0.999, 1.656, "chest"), "plate": (0.651, 1.643, "chest"), "arms": (0.929, 1.694, "arms"), "pants": (0.057, 1.170, "legs"), + "legs": (-0.107, 1.138, "legs"), "boots": (-0.069, 0.563, "boots"), "gloves": (0.797, 1.245, "gloves"), "helm": (1.504, 1.903, "helm"), + "skirt": (0.026, 1.258, "skirt"), "cloak": (0.095, 1.675, "cloak"), + # medians over the original animations of the layer (docs/qa/layer_analysis.md, pipeline/layer_analysis.py); robe = anim 469. + # hair / beard / hat: the TOP is reliable (hair 1.88-1.93 m for 80 % of the 37 hairstyles), the bottom depends on the style (hair 1.34-1.64): + # for a long hairstyle give SCALE yourself instead of letting the height decide + "hair": (1.52, 1.89, "hair"), "beard": (1.52, 1.72, "beard"), "hat": (1.52, 1.92, "hat"), "neck": (1.48, 1.64, "neck"), + "robe": (0.026, 1.719, "robe")} + +body = bpy.data.objects["UO_Body"] +UO_NAMES = {"UO_Body", "UO_Rig", "UO_Camera", "UO_Sun"} + + +def import_file(path): + ext = os.path.splitext(path)[1].lower() + before = set(bpy.data.objects) + if ext in (".glb", ".gltf"): + bpy.ops.import_scene.gltf(filepath=path) + elif ext == ".fbx": + bpy.ops.import_scene.fbx(filepath=path) + elif ext == ".obj": + bpy.ops.wm.obj_import(filepath=path) + elif ext == ".dae": + bpy.ops.wm.collada_import(filepath=path) + elif ext == ".stl": + bpy.ops.wm.stl_import(filepath=path) + elif ext == ".ply": + bpy.ops.wm.ply_import(filepath=path) + else: + raise ValueError("unsupported file type %r (use .glb .gltf .fbx .obj .dae .stl .ply)" % ext) + return [o for o in bpy.data.objects if o not in before] + + +def bake(ob): + """a new mesh object with the geometry of `ob` as it is evaluated now, in world space (own armature, modifiers applied)""" + dg = bpy.context.evaluated_depsgraph_get() + ev = ob.evaluated_get(dg) + me = bpy.data.meshes.new_from_object(ev, preserve_all_data_layers=True, depsgraph=dg) + me.transform(ob.matrix_world) + bm = bmesh.new(); bm.from_mesh(me) + for lay in list(bm.verts.layers.deform): # weights of the file's own skeleton: uo_bind_item.py makes its own + bm.verts.layers.deform.remove(lay) + bm.to_mesh(me); bm.free() + return bpy.data.objects.new(ob.name, me) + + +def run(): + if FILE: + everything = import_file(FILE) + meshes = [o for o in everything if o.type == "MESH"] + print("uo_import_item: meshes in the file (name, vertices, size in the file's units):") + for o in meshes: + d = np.array(o.dimensions) + print(" %-30s %7d %.3f x %.3f x %.3f%s" % (o.name, len(o.data.vertices), *d, " <- SKIP" if any(k.lower() in o.name.lower() for k in SKIP) else "")) + src = [o for o in meshes if not any(k.lower() in o.name.lower() for k in SKIP)] + imported = True + else: + src = [o for o in bpy.context.selected_objects if o.type == "MESH" and o.name not in UO_NAMES] + imported = False + if not src: + raise RuntimeError("no mesh to work on (FILE is empty and nothing is selected, or the file has no mesh)") + bpy.context.view_layer.update() + clo = bpy.data.collections.get("Clothing") or bpy.data.collections.new("Clothing") + if clo.name not in bpy.context.scene.collection.children: + bpy.context.scene.collection.children.link(clo) + news = [] + for o in src: + n = bake(o) + clo.objects.link(n) + news.append(n) + for o in (everything if imported else src): # drop what the file brought (meshes, armature, empties, lights, cameras) + bpy.data.objects.remove(o, do_unlink=True) + bpy.ops.object.select_all(action="DESELECT") + for n in news: + n.select_set(True) + bpy.context.view_layer.objects.active = news[0] + if JOIN and len(news) > 1: + bpy.ops.object.join() + news = [bpy.context.view_layer.objects.active] + for k, n in enumerate(news): + n.name = (NAME or os.path.splitext(os.path.basename(FILE))[0] or "Item") + ("" if len(news) == 1 else "_%d" % k) + n.data.name = n.name + verts = np.concatenate([np.array([v.co[:] for v in n.data.vertices]) for n in news]) + if TURN: + R = np.array(Matrix.Rotation(np.radians(TURN), 3, "Z")) + c0 = np.array([(verts[:, 0].min() + verts[:, 0].max()) / 2, (verts[:, 1].min() + verts[:, 1].max()) / 2, 0]) + for n in news: + n.data.transform(Matrix.Translation(c0) @ Matrix.Rotation(np.radians(TURN), 4, "Z") @ Matrix.Translation(-c0)) + verts = np.concatenate([np.array([v.co[:] for v in n.data.vertices]) for n in news]) + info = "%d mesh object(s), %d vertices, size %.3f x %.3f x %.3f (as imported)" % (len(news), len(verts), *(verts.max(0) - verts.min(0))) + if KIND: + if KIND not in EXTENTS: + raise ValueError("KIND must be one of %s" % list(EXTENTS)) + zlo, zhi, part = EXTENTS[KIND] + lo, hi = np.percentile(verts[:, 2], [PERCENT, 100 - PERCENT]) + s = SCALE if SCALE > 0 else (zhi - zlo) / max(hi - lo, 1e-9) + # sideways / front-back: the middle of the item on the middle of the body between the same heights + bz = np.array([v.co[:] for v in body.data.vertices]) + bz = (np.array(body.matrix_world)[:3, :3] @ bz.T).T + np.array(body.matrix_world)[:3, 3] + near = bz[(bz[:, 2] > zlo) & (bz[:, 2] < zhi) & (np.abs(bz[:, 0]) < 0.25)] + tx, ty = (np.median(near[:, 0]), (near[:, 1].min() + near[:, 1].max()) / 2) if len(near) else (0.0, 0.0) + ix, iy = [(np.percentile(verts[:, a], PERCENT) + np.percentile(verts[:, a], 100 - PERCENT)) / 2 for a in (0, 1)] + T = Matrix.Translation((tx, ty, zlo)) @ Matrix.Diagonal((s, s, s, 1.0)) @ Matrix.Translation((-ix, -iy, -lo)) + for n in news: + n.data.transform(T) + info += "; KIND %s: scale %.4f (height %.3f -> %.3f m), moved onto the body; PART for uo_bind_item.py: %r" % (KIND, s, hi - lo, zhi - zlo, part) + if not 0.3 < s < 3 and SCALE <= 0: + info += "\n WARNING: scale %.2f is far from 1: check the model's units, or that KIND is the right one" % s + nv = sum(len(n.data.vertices) for n in news) + if nv > 20000: + info += "\n WARNING: %d vertices: add a Decimate modifier (about 20k are enough for a 136x120 frame)" % nv + for n in news: + n.matrix_world = Matrix.Identity(4) + n.select_set(True) + bpy.context.view_layer.objects.active = news[0] + print("uo_import_item: " + info) + return news + + +FILE = os.environ.get("UO_IMPORT_FILE", FILE) +KIND = os.environ.get("UO_IMPORT_KIND", KIND) +SKIP = [k for k in os.environ.get("UO_IMPORT_SKIP", "").split(",") if k] or SKIP +_result = run() diff --git a/third_party/UO_Model3D_v13/pipeline/uo_job.py b/third_party/UO_Model3D_v13/pipeline/uo_job.py new file mode 100644 index 0000000..0c01064 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_job.py @@ -0,0 +1,125 @@ +# Runs a long script (render_uo_layer.py, uo_cloth_bake.py) step by step, so that Blender's window stays alive. +# +# A script that loops for minutes inside "Run Script" never gives control back to Blender: the window is not redrawn, the system +# marks it "Not Responding" (Blender 5.x on Windows shows this much sooner than 4.2) and it looks like a crash. Here the script +# is a generator that yields after every unit of work (a frame, a cloth step); run() feeds it from a modal operator: +# * between two steps Blender redraws; the progress is in the status bar (bottom of the window) and on the mouse cursor; +# * ESC cancels (the script's own clean-up runs, like with a STOP file); the other input is blocked while it works; +# * in background mode (blender -b, the bpy module, the tests) the generator simply runs to the end, exceptions included. +# Usage: uo_job = bpy.data.texts["uo_job.py"].as_module(); uo_job.run(generator, "title", finish, abort) +# generator : yields a short progress text (or None) after each step; raising / being closed ends it +# finish() : called once after the last step abort(why) : called after ESC, an error or STOP (generator already closed) +import time +import traceback + +import bpy + +BUDGET = 0.1 # s: steps run back to back until this much time passed since the last redraw (one step is at least run) + + +def _end(gen, why, finish, abort): + if why is None: + if finish: + finish() + return + try: + gen.close() # runs the finally: blocks of the generator + finally: + if abort: + abort(why) + + +class UO_OT_job(bpy.types.Operator): + bl_idname = "wm.uo_job" + bl_label = "UO job" + bl_options = {"INTERNAL"} + + def invoke(self, context, event): + wm = context.window_manager + self._t = wm.event_timer_add(0.01, window=context.window) + wm.modal_handler_add(self) + self._n = 0 + wm.progress_begin(0, 1000) + self._text(context, "starting (ESC cancels)") + return {"RUNNING_MODAL"} + + def _text(self, context, msg): + title = _job()["title"] + if context.workspace is not None: + context.workspace.status_text_set("%s: %s [ESC = cancel]" % (title, msg)) + if context.window_manager is not None: + context.window_manager.progress_update(self._n % 1000) + + def _done(self, context, why): + wm = context.window_manager + wm.event_timer_remove(self._t) + wm.progress_end() + if context.workspace is not None: + context.workspace.status_text_set(None) + job = dict(_job()); _job().clear() + try: + _end(job["gen"], why, job["finish"], job["abort"]) + except BaseException: + traceback.print_exc() + print("%s: %s" % (job["title"], "finished" if why is None else why), flush=True) + return {"FINISHED"} if why is None else {"CANCELLED"} + + def modal(self, context, event): + if event.type == "ESC" and event.value == "PRESS": + return self._done(context, "cancelled (ESC)") + if event.type != "TIMER": + return {"RUNNING_MODAL"} # nothing else is allowed to touch the scene while it works + t0 = time.time() + try: + while True: + msg = next(_job()["gen"]) + self._n += 1 + if msg: + self._text(context, msg) + if time.time() - t0 > BUDGET: + break + except StopIteration: + return self._done(context, None) + except BaseException as e: # KeyboardInterrupt = the STOP file of the render script + if not isinstance(e, KeyboardInterrupt): + traceback.print_exc() + return self._done(context, "stopped (%s)" % (e if isinstance(e, KeyboardInterrupt) else "error, see the system console")) + return {"RUNNING_MODAL"} + + + + +def _job(): + """the running job; kept in bpy.app.driver_namespace so that it survives as_module() running this text again + (only used in the interface: touching it in background mode made the bpy module crash when it shuts down)""" + return bpy.app.driver_namespace.setdefault("uo_job", {}) + + +def _register(): + old = getattr(bpy.types, "WM_OT_uo_job", None) + if old is not None: + try: + bpy.utils.unregister_class(old) + except Exception: + pass + bpy.utils.register_class(UO_OT_job) + + +def run(gen, title, finish=None, abort=None): + """run the generator `gen` (see the top of the file); returns when it is over (background) or at once (window)""" + if not bpy.app.background and _job(): + print("%s: another job is running (%s) - finish or cancel it with ESC first" % (title, _job()["title"])) + return False + if bpy.app.background or bpy.context.window is None: + try: + for _ in gen: + pass + except BaseException: + _end(gen, "error", finish, abort) + raise + _end(gen, None, finish, abort) + return True + _register() + _job().update(gen=gen, title=title, finish=finish, abort=abort) + bpy.ops.wm.uo_job("INVOKE_DEFAULT") + return True diff --git a/third_party/UO_Model3D_v13/pipeline/uo_layers_setup.py b/third_party/UO_Model3D_v13/pipeline/uo_layers_setup.py new file mode 100644 index 0000000..5411f07 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_layers_setup.py @@ -0,0 +1,127 @@ +"""Add the clothing-layer workflow to the model .blend: UO_Look node group, Clothing collection, example shirt, +render_uo_layer.py + uo_vd_writer.py text blocks.""" +import bpy, sys, os, math, pickle +import numpy as np +from mathutils import Vector + +SRC = sys.argv[sys.argv.index("--src") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +os.makedirs(OUT, exist_ok=True) +bpy.context.preferences.filepaths.save_version = 0 +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(SRC)) +sc = bpy.context.scene +body = bpy.data.objects["UO_Body"]; rig = bpy.data.objects["UO_Rig"] +light = pickle.load(open("uo_light.pkl", "rb")) +theta = math.radians(sc["uo_theta_deg"]) +right_w = Vector((1, 0, 0)); up_w = Vector((0, math.sin(theta), math.cos(theta))); tow_w = right_w.cross(up_w) +Lc = light["L_camera"] +Lw = (right_w * Lc[0] + up_w * Lc[1] + tow_w * Lc[2]).normalized() +sc["uo_look"] = 1.0 + +# ---------------------------------------------------------------- node group UO_Look +ng = bpy.data.node_groups.new("UO_Look", "ShaderNodeTree") +ng.interface.new_socket("Albedo", in_out="INPUT", socket_type="NodeSocketColor").default_value = (0.5, 0.5, 0.5, 1) +ng.interface.new_socket("Shader", in_out="OUTPUT", socket_type="NodeSocketShader") +N = ng.nodes.new; L = ng.links.new +gi = N("NodeGroupInput"); gi.location = (-900, 0) +go = N("NodeGroupOutput"); go.location = (600, 0) +bsdf = N("ShaderNodeBsdfPrincipled"); bsdf.location = (-100, 300); bsdf.inputs["Roughness"].default_value = 0.8 +geo = N("ShaderNodeNewGeometry"); geo.location = (-900, -300) +ldir = N("ShaderNodeCombineXYZ"); ldir.location = (-900, -550); ldir.label = "UO light direction (world)" +for i, v in enumerate(Lw): + ldir.inputs[i].default_value = v +dot = N("ShaderNodeVectorMath"); dot.operation = "DOT_PRODUCT"; dot.location = (-650, -350) +mx = N("ShaderNodeMath"); mx.operation = "MAXIMUM"; mx.inputs[1].default_value = 0.0; mx.location = (-450, -350) +mad = N("ShaderNodeMath"); mad.operation = "MULTIPLY_ADD"; mad.location = (-250, -350); mad.label = "ambient + diffuse*cos" +mad.inputs[1].default_value = light["diffuse"]; mad.inputs[2].default_value = light["ambient"] +mul = N("ShaderNodeMix"); mul.data_type = "RGBA"; mul.blend_type = "MULTIPLY"; mul.location = (-50, -150) +mul.inputs["Factor"].default_value = 1.0 +emis = N("ShaderNodeEmission"); emis.location = (200, -150) +mix = N("ShaderNodeMixShader"); mix.location = (420, 0) +look = N("ShaderNodeValue"); look.location = (200, 250); look.label = "UO look (driven by scene['uo_look'])" +fc = look.outputs[0].driver_add("default_value") +fc.driver.type = "AVERAGE" +var = fc.driver.variables.new(); var.type = "SINGLE_PROP" +var.targets[0].id_type = "SCENE"; var.targets[0].id = sc; var.targets[0].data_path = '["uo_look"]' +L(gi.outputs["Albedo"], bsdf.inputs["Base Color"]) +L(geo.outputs["Normal"], dot.inputs[0]); L(ldir.outputs["Vector"], dot.inputs[1]) +L(dot.outputs["Value"], mx.inputs[0]); L(mx.outputs["Value"], mad.inputs[0]) +L(gi.outputs["Albedo"], mul.inputs[6]); L(mad.outputs["Value"], mul.inputs[7]) +L(mul.outputs[2], emis.inputs["Color"]) +L(look.outputs[0], mix.inputs["Fac"]) +L(bsdf.outputs["BSDF"], mix.inputs[1]); L(emis.outputs["Emission"], mix.inputs[2]) +L(mix.outputs["Shader"], go.inputs["Shader"]) + +# ---------------------------------------------------------------- body material -> UO_Look group +mat = bpy.data.materials["UO_Skin"] +nt = mat.node_tree +old_mix = next(n for n in nt.nodes if n.type == "MIX_SHADER") +old_mul = next(n for n in nt.nodes if n.type == "MIX" and n.blend_type == "MULTIPLY") +albedo_socket = old_mul.inputs[6].links[0].from_socket # per-direction albedo selection chain +out = next(n for n in nt.nodes if n.type == "OUTPUT_MATERIAL") +grp = nt.nodes.new("ShaderNodeGroup"); grp.node_tree = ng; grp.location = (450, -100); grp.label = "UO_Look" +nt.links.new(albedo_socket, grp.inputs["Albedo"]) +nt.links.new(grp.outputs["Shader"], out.inputs["Surface"]) +for n in list(nt.nodes): + if n.type in ("MIX_SHADER", "EMISSION", "NEW_GEOMETRY", "COMBXYZ", "VECT_MATH") or n == old_mul \ + or (n.type == "MATH" and n.operation in ("MAXIMUM", "MULTIPLY_ADD")) \ + or (n.type == "VALUE" and n.label.startswith("UO look")): + nt.nodes.remove(n) +# keep a plain Principled for exporters (export.py links it to the output) +bsdf_b = next(n for n in nt.nodes if n.type == "BSDF_PRINCIPLED") +tex_global = next(n for n in nt.nodes if n.type == "TEX_IMAGE" and n.image and n.image.name == "UO_Body_Texture") +nt.links.new(tex_global.outputs["Color"], bsdf_b.inputs["Base Color"]) + +# ---------------------------------------------------------------- Clothing collection + example shirt +col = bpy.data.collections.new("Clothing") +sc.collection.children.link(col) +me = body.data +V = np.array([v.co[:] for v in me.vertices]) +nrm = np.array([v.normal[:] for v in me.vertices]) +gname = {g.index: g.name for g in body.vertex_groups} +W = {} +for v in me.vertices: + for g in v.groups: + W.setdefault(gname[g.group], np.zeros(len(V)))[v.index] = g.weight +shirt_w = sum(W.get(n, 0) for n in ("chest", "spine", "upper_arm.L", "upper_arm.R")) +keepv = shirt_w > 0.5 +keepv &= V[:, 2] > (V[:, 2].min() + 0.93) # not below the belt line +faces = [list(p.vertices) for p in me.polygons if all(keepv[i] for i in p.vertices)] +used = sorted({i for f in faces for i in f}) +remap = {o: n for n, o in enumerate(used)} +sv = V[used] + nrm[used] * 0.012 # 1.2 cm above the skin +sm = bpy.data.meshes.new("Example_Shirt") +sm.from_pydata(sv.tolist(), [], [[remap[i] for i in f] for f in faces]) +sm.update() +for p in sm.polygons: + p.use_smooth = True +shirt = bpy.data.objects.new("Example_Shirt", sm) +col.objects.link(shirt) +for name, w in W.items(): + vg = shirt.vertex_groups.new(name=name) + for n, o in enumerate(used): + if w[o] > 0: + vg.add([n], float(w[o]), "REPLACE") +shirt.parent = rig +mod = shirt.modifiers.new("Armature", "ARMATURE"); mod.object = rig +smat = bpy.data.materials.new("Example_Shirt_Mat"); smat.use_nodes = True +snt = smat.node_tree; snt.nodes.clear() +so = snt.nodes.new("ShaderNodeOutputMaterial"); so.location = (400, 0) +sg = snt.nodes.new("ShaderNodeGroup"); sg.node_tree = ng; sg.location = (150, 0) +sg.inputs["Albedo"].default_value = (0.35, 0.35, 0.35, 1) # grey = hue-able in UO +sp = snt.nodes.new("ShaderNodeBsdfPrincipled"); sp.location = (150, 300) +sp.inputs["Base Color"].default_value = (0.35, 0.35, 0.35, 1) +snt.links.new(sg.outputs["Shader"], so.inputs["Surface"]) +sm.materials.append(smat) +print("example shirt:", len(faces), "faces") + +# ---------------------------------------------------------------- text blocks +for name in ("render_uo_sprites.py",): + if name in bpy.data.texts: + bpy.data.texts.remove(bpy.data.texts[name]) +for name in ("uo_vd_writer.py", "render_uo_layer.py"): + t = bpy.data.texts.get(name) or bpy.data.texts.new(name) + t.from_string(open(name).read()) + t.use_module = False # loaded on demand via as_module(); no auto-run warning +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(OUT, "UO_Body_0x190.blend"))) +print("saved") diff --git a/third_party/UO_Model3D_v13/pipeline/uo_materials.py b/third_party/UO_Model3D_v13/pipeline/uo_materials.py new file mode 100644 index 0000000..0930f3c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_materials.py @@ -0,0 +1,192 @@ +# Put the materials of an item (typically a free model brought in by uo_import_item.py) into the UO look: every material slot is wired to the node group +# "UO_Look" (UO light: albedo x (ambient + diffuse * max(N.L, 0)), flat, no gloss, no reflections), with the colour the model's own material had. +# A foreign model brings PBR materials (metal, roughness, normal maps, emission, environment reflections); rendered as they are they come out with the wrong +# brightness and with reflections of an environment that UO does not have. UO metal (plate, helms, shields) is NOT matte, though: measured on the original +# sprites (plate 527, helm 563 against the same shape lit by UO_Look) it has a bright highlight where the surface faces the light/camera (the light sits at +# the camera), absent from cloth (trousers 431: brightest pixel 90/255, plate 252/255). So metal gets a Phong-like lobe on top of the UO light. +# What this script keeps from the material: +# - the colour: whatever feeds "Base Color" of the Principled BSDF (a texture, a colour attribute, a plain colour), or "Color" of a Diffuse / Emission node, +# or the viewport colour of a material without nodes; +# - the cut-out: whatever feeds "Alpha" (hair cards, lace, chains on a transparent texture) becomes transparency (a pixel is in the sprite when alpha >= 0.5); +# - metal: a material with Metallic >= METAL_AT (or METAL = True) gets the highlight SPEC_STRENGTH * albedo * max(N.L, 0) ^ SPEC_POWER added to the UO light; +# and drops the rest (roughness, normal / bump maps, emission, subsurface, coat, environment reflections): UO draws no such things. Normal maps are not baked into the +# geometry; a model that relies on them for its shape will look flatter than on its own. +# Run from Blender's Text Editor (Alt+P) after uo_import_item.py (the imported object is selected), or on the selected mesh objects of the scene. With nothing +# selected it takes every mesh object of the collection "Clothing". Idempotent: a material already wired to UO_Look is left alone. +# SATURATION = 0 : grey item. In UO items that take a hue (a dye) are drawn in greys, so a dyeable shirt should be SATURATION = 0, BRIGHTNESS = 1. +import bpy + +SATURATION = 1.0 # 1 = the model's colours, 0 = greys only (an item the game tints with a hue), in between = washed out +BRIGHTNESS = 1.0 # multiplier of the albedo (UO items are rarely darker than 0.15 or lighter than 0.9; the light is 0.08 + 0.92 cos) +CLAMP = True # albedo kept between 0.02 and 0.98 (sprites have neither pure black nor pure white, the 1-px outline is added by the renderer) +ALPHA = True # keep transparency from the model's Alpha input (False = opaque) +METAL = None # None = metal where the model's Metallic >= METAL_AT, True = every material is metal (plate), False = none (cloth, leather) +METAL_AT = 0.5 +SPEC_STRENGTH = 1.0 # highlight = SPEC_STRENGTH * albedo * max(N.L, 0) ^ SPEC_POWER, added to the UO light (linear light; the metal tints its own highlight). +SPEC_POWER = 16 # Measured on the metal-named wearable animations of the client (light_items.py, 41 animations, body normals as the proxy): mail / ring / chain + # SPEC_STRENGTH 0.7, power 11; the brightest quartile (plate, helms) 2.0, power 19; cloth and leather: Lambert only (0.3, no better than none). + # 1.0 / 16 is in between; use 2.0 / 19 for shiny plate, 0.7 / 11 for mail. Docs: docs/qa/light_shadow.md +REPORT = True + +_metallic = 0.0 +OUTPUT_TYPES = ("OUTPUT_MATERIAL",) + + +def find_colour_source(nt): + """(socket or None, default colour or None, alpha socket or None, default alpha) of the material's shader tree""" + out = next((n for n in nt.nodes if n.type in OUTPUT_TYPES and n.is_active_output), None) or next((n for n in nt.nodes if n.type in OUTPUT_TYPES), None) + if out is None or not out.inputs["Surface"].links: + return None, None, None, 1.0 + node = out.inputs["Surface"].links[0].from_node + seen = set() + while node.type in ("MIX_SHADER", "ADD_SHADER", "GROUP") and node not in seen: # first shader that carries a colour + seen.add(node) + ins = [i for i in node.inputs if i.type == "SHADER" and i.links] + if not ins: + break + node = ins[0].links[0].from_node + names = {"BSDF_PRINCIPLED": ("Base Color", "Alpha"), "BSDF_DIFFUSE": ("Color", None), "EMISSION": ("Color", None), "BSDF_TOON": ("Color", None), + "BSDF_GLOSSY": ("Color", None), "BSDF_TRANSLUCENT": ("Color", None), "SUBSURFACE_SCATTERING": ("Color", None), "BSDF_SHEEN": ("Color", None)} + if node.type not in names: + return None, None, None, 1.0 + cn, an = names[node.type] + global _metallic + _metallic = node.inputs["Metallic"].default_value if node.type == "BSDF_PRINCIPLED" and not node.inputs["Metallic"].links else \ + (1.0 if node.type == "BSDF_PRINCIPLED" else 0.0) # a Metallic fed by a texture: taken as metal + ci = node.inputs[cn] + col = ci.links[0].from_socket if ci.links else None + default = tuple(ci.default_value) if not ci.links else None + asock, aval = None, 1.0 + if an and ALPHA: + ai = node.inputs[an] + asock = ai.links[0].from_socket if ai.links else None + aval = ai.default_value if not ai.links else 1.0 + return col, default, asock, aval + + +def add_highlight(nt, ng, shader, where, albedo, default): + """shader + Emission(albedo * SPEC_STRENGTH * max(N.L, 0) ^ SPEC_POWER), L = the UO light of the node group (world space)""" + ldir = next(n for n in ng.nodes if n.type == "COMBXYZ") # "UO light direction (world)" + geo = nt.nodes.new("ShaderNodeNewGeometry"); geo.location = (where[0] - 600, where[1] - 420) + lv = nt.nodes.new("ShaderNodeCombineXYZ"); lv.location = (where[0] - 600, where[1] - 600) + for i in range(3): + lv.inputs[i].default_value = ldir.inputs[i].default_value + dot = nt.nodes.new("ShaderNodeVectorMath"); dot.operation = "DOT_PRODUCT"; dot.location = (where[0] - 400, where[1] - 480) + mxn = nt.nodes.new("ShaderNodeMath"); mxn.operation = "MAXIMUM"; mxn.inputs[1].default_value = 0.0; mxn.location = (where[0] - 250, where[1] - 480) + pw = nt.nodes.new("ShaderNodeMath"); pw.operation = "POWER"; pw.inputs[1].default_value = SPEC_POWER; pw.location = (where[0] - 120, where[1] - 480) + em = nt.nodes.new("ShaderNodeEmission") + if albedo is not None: + nt.links.new(albedo, em.inputs["Color"]) + else: + em.inputs["Color"].default_value = default + em.location = (where[0] + 40, where[1] - 400) + ml = nt.nodes.new("ShaderNodeMath"); ml.operation = "MULTIPLY"; ml.inputs[1].default_value = SPEC_STRENGTH; ml.location = (where[0] + 40, where[1] - 520) + nt.links.new(geo.outputs["Normal"], dot.inputs[0]); nt.links.new(lv.outputs["Vector"], dot.inputs[1]) + nt.links.new(dot.outputs["Value"], mxn.inputs[0]); nt.links.new(mxn.outputs["Value"], pw.inputs[0]) + nt.links.new(pw.outputs["Value"], ml.inputs[0]); nt.links.new(ml.outputs["Value"], em.inputs["Strength"]) + add = nt.nodes.new("ShaderNodeAddShader"); add.location = (where[0] + 200, where[1] - 100) + nt.links.new(shader, add.inputs[0]); nt.links.new(em.outputs["Emission"], add.inputs[1]) + return add.outputs["Shader"] + + +def convert(mat, ng): + """rewire `mat` to UO_Look; returns a short description""" + global _metallic + if mat is None: + return None + _metallic = 0.0 + if bpy.app.version < (5, 0, 0) and not mat.use_nodes: # Blender 5: every material has a node tree (use_nodes is deprecated) + d = tuple(mat.diffuse_color) + mat.use_nodes = True + nt = mat.node_tree + col, default, asock, aval = None, d, None, 1.0 + else: + nt = mat.node_tree + if any(n.type == "GROUP" and n.node_tree == ng for n in nt.nodes): + return "%s: already UO_Look" % mat.name + col, default, asock, aval = find_colour_source(nt) + metallic = _metallic + out = next((n for n in nt.nodes if n.type in OUTPUT_TYPES and n.is_active_output), None) or next((n for n in nt.nodes if n.type in OUTPUT_TYPES), None) + if out is None: + out = nt.nodes.new("ShaderNodeOutputMaterial") + where = out.location.x - 300, out.location.y + grp = nt.nodes.new("ShaderNodeGroup"); grp.node_tree = ng; grp.label = "UO_Look"; grp.location = (where[0], where[1]) + how = "colour" + if col is None: + grp.inputs["Albedo"].default_value = default if default is not None else (0.5, 0.5, 0.5, 1.0) + # saturation / brightness / clamp between the colour and the light + cur = col + if SATURATION != 1.0 or BRIGHTNESS != 1.0: + hs = nt.nodes.new("ShaderNodeHueSaturation"); hs.location = (where[0] - 220, where[1]) + hs.inputs["Saturation"].default_value = SATURATION; hs.inputs["Value"].default_value = BRIGHTNESS + if cur is not None: + nt.links.new(cur, hs.inputs["Color"]) + else: + hs.inputs["Color"].default_value = grp.inputs["Albedo"].default_value + cur = hs.outputs["Color"] + if CLAMP: + mapr = nt.nodes.new("ShaderNodeVectorMath"); mapr.operation = "MAXIMUM"; mapr.location = (where[0] - 440, where[1]) + mapr.inputs[1].default_value = (0.02, 0.02, 0.02) + mapx = nt.nodes.new("ShaderNodeVectorMath"); mapx.operation = "MINIMUM"; mapx.location = (where[0] - 330, where[1]) + mapx.inputs[1].default_value = (0.98, 0.98, 0.98) + if cur is not None: + nt.links.new(cur, mapr.inputs[0]) + else: + mapr.inputs[0].default_value = grp.inputs["Albedo"].default_value[:3] + nt.links.new(mapr.outputs["Vector"], mapx.inputs[0]) + cur = mapx.outputs["Vector"] + if cur is not None: + nt.links.new(cur, grp.inputs["Albedo"]) + shader = grp.outputs["Shader"] + if METAL or (METAL is None and metallic >= METAL_AT): # before the cut-out, so that nothing glows where the item is transparent + shader = add_highlight(nt, ng, shader, where, cur, grp.inputs["Albedo"].default_value) + how += " + metal highlight" + if ALPHA and (asock is not None or aval < 1.0): + tr = nt.nodes.new("ShaderNodeBsdfTransparent"); tr.location = (where[0], where[1] - 160) + mx = nt.nodes.new("ShaderNodeMixShader"); mx.location = (where[0] + 150, where[1]) + if asock is not None: + nt.links.new(asock, mx.inputs["Fac"]) + else: + mx.inputs["Fac"].default_value = aval + nt.links.new(tr.outputs["BSDF"], mx.inputs[1]); nt.links.new(shader, mx.inputs[2]) + shader = mx.outputs["Shader"] + how += " + alpha" + nt.links.new(shader, out.inputs["Surface"]) + # blend mode of the viewport / Cycles material: cut-out + try: + mat.blend_method = "CLIP" if "alpha" in how else "OPAQUE" + except Exception: + pass + return "%s: %s%s" % (mat.name, how, "" if col is not None else " (plain colour %s)" % ", ".join("%.2f" % c for c in grp.inputs["Albedo"].default_value[:3])) + + +def run(): + ng = bpy.data.node_groups.get("UO_Look") + if ng is None: + raise RuntimeError("node group UO_Look not found: open UO_Body_0x190.blend") + obs = [o for o in bpy.context.selected_objects if o.type == "MESH" and o.name not in ("UO_Body",)] + if not obs and "Clothing" in bpy.data.collections: + obs = [o for o in bpy.data.collections["Clothing"].all_objects if o.type == "MESH"] + done = set(); lines = [] + for o in obs: + if not o.material_slots: + o.data.materials.append(bpy.data.materials.new(o.name + "_Mat")) + lines.append("%s: had no material, plain grey UO_Look added" % o.name) + for sl in o.material_slots: + if sl.material is None: + sl.material = bpy.data.materials.new(o.name + "_Mat") + m = sl.material + if m.name in done: + continue + done.add(m.name) + r = convert(m, ng) + if r: + lines.append(r) + if REPORT: + print("uo_materials: %d object(s), %d material(s)" % (len(obs), len(done))) + for l in lines: + print(" " + l) + return lines + + +_result = run() diff --git a/third_party/UO_Model3D_v13/pipeline/uo_place_shield.py b/third_party/UO_Model3D_v13/pipeline/uo_place_shield.py new file mode 100644 index 0000000..cb95129 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_place_shield.py @@ -0,0 +1,89 @@ +# Put the SELECTED shield on the left forearm the way UO holds a shield (the bone shield.L: fitted frame by frame to the +# original UO shield, anim 582) and slide it towards the arm until its back touches the forearm. Run it from Blender's +# Text Editor. +# 1. Model / import the shield upright with its face towards the front view (Numpad 1), top up, point down. +# 2. Select it and run this script (the body is put in Rest Position while it works, as it was afterwards). +# 3. Then uo_bind_item.py with PART = "shield". +# Running it again places the shield again (any manual move is replaced). +import bpy, math +import numpy as np +from mathutils import Vector, Matrix +from mathutils.bvhtree import BVHTree + +GAP = 0.01 # m left between the back of the shield and the forearm skin +SHIFT = 0.0 # m, extra move along the shield's own axis after it touches (+ = further out, - = closer) + +# calibration (forearm.L bone space): centre, face normal of the shield disc +CENTRE = Vector((-0.07, 0.21, -0.03)) +NORMAL = Vector((-0.99622, -0.07987, 0.03415)).normalized() + +rig = bpy.data.objects["UO_Rig"] +body = bpy.data.objects["UO_Body"] + + +def arm_skin_bvh(): + """left forearm skin in world space (Rest Position)""" + dg = bpy.context.evaluated_depsgraph_get() + ev = body.evaluated_get(dg); me = ev.to_mesh() + V = [ev.matrix_world @ v.co for v in me.vertices] + names = [g.name for g in body.vertex_groups] + fa = [i for i, n in enumerate(names) if n in ("forearm.L", "forearm_twist.L")] + W = np.zeros(len(me.vertices)) + for v in body.data.vertices: + for g in v.groups: + if g.group in fa: + W[v.index] += g.weight + me.calc_loop_triangles() + tris = [t.vertices[:] for t in me.loop_triangles if np.mean(W[list(t.vertices)]) > 0.5] + ev.to_mesh_clear() + return BVHTree.FromPolygons(V, tris) + + +def place(ob): + if "shield.L" in rig.data.bones: # the shield bone: X width, Y height (top), Z face + M = rig.matrix_world @ rig.data.bones["shield.L"].matrix_local; M3 = M.to_3x3().normalized() + c = M.translation.copy(); n = M3.col[2].normalized(); up = M3.col[1].normalized() + else: # older file: the calibrated disc on forearm.L + b = rig.data.bones["forearm.L"] + M = rig.matrix_world @ b.matrix_local; M3 = M.to_3x3() + c = M @ CENTRE + n = (M3 @ NORMAL).normalized() + up = -(M3 @ NORMAL.cross(Vector((0, 1, 0)))).normalized() + y = -n # model -Y (front) -> n + x = y.cross(up).normalized(); z = x.cross(y).normalized() + R = Matrix((x, y, z)).transposed().to_4x4() + co = np.array([v.co[:] for v in ob.data.vertices]) + mid = Vector(((co.min(0) + co.max(0)) / 2).tolist()) # middle of the shield's bounds + S = Matrix.Diagonal(ob.matrix_world.to_scale()).to_4x4() + base = Matrix.Translation(c) @ R @ S @ Matrix.Translation(-mid) + back = (R.to_3x3() @ Vector((0, 1, 0))).normalized() # towards the arm + bvh = arm_skin_bvh() + P0 = [base @ Vector(p) for p in co] + + def closest(s): + d = back * s + return min(bvh.find_nearest(p + d)[3] for p in P0) + + s = -0.25 # start well away from the arm + while s < 0.25 and closest(s + 0.01) > GAP: + s += 0.01 + for _ in range(10): # refine to 1 mm + if closest(s + 0.001) > GAP: + s += 0.001 + s += SHIFT + ob.rotation_mode = "XYZ" + ob.matrix_world = Matrix.Translation(back * s) @ base + print("uo_place_shield: %s on the left forearm, back %.0f mm from the skin" % (ob.name, closest(s) * 1000)) + + +pose = rig.data.pose_position +rig.data.pose_position = "REST" +bpy.context.view_layer.update() +try: + obs = [o for o in bpy.context.selected_objects if o.type == "MESH" and o != body] + if not obs: + raise RuntimeError("select the shield first") + for ob in obs: + place(ob) +finally: + rig.data.pose_position = pose diff --git a/third_party/UO_Model3D_v13/pipeline/uo_place_weapon.py b/third_party/UO_Model3D_v13/pipeline/uo_place_weapon.py new file mode 100644 index 0000000..a72b195 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_place_weapon.py @@ -0,0 +1,41 @@ +# Put the SELECTED weapon on the shaft line of its class the way UO holds it (2H weapons, staffs, bows: left hand; 1H weapons: right hand), ready for uo_bind_item.py. +# 1. Model the weapon upright: shaft along +Z, head / tip UP (+Z), butt at the lowest point, object origin anywhere (apply scale first). +# 2. Select it, set PART below (polearm = staff, spear, halberd, bardiche, crook; axe2h = 2H axes; bow = bow, crossbow; weapon1h = sword, mace, hammer, 1H axe, dagger, kryss, club), run this (Alt+P). +# 3. Then uo_bind_item.py with the same PART (the weapon follows the bone polearm.L / axe2h.L / bow.L / weapon1h.R, calibrated on the original weapons). +# The shaft goes along the class line (WEAPON_MOTION in weapon_motion.json: point PIVOT, direction DIR in hand.L space, head towards +DIR) with the butt at +# the class's usual butt position (`butt`, m along the line; bows: their middle sits at 0). +# The roll about the shaft (weapon_roll_fit.py): model the head as a flat plate in the XZ plane of the weapon: its wide side along +X (the blade's flat, the +# bit / cutting edge of an axe towards +X), thin along Y. The script turns the weapon about its shaft so that +X lies in the plane the original weapon REF_ANIM +# has at roll 0 of the class (weapon_motion.json: roll.offsets; default the reference weapon of the class); the bone then turns it with the roll per pose +# (uo_weapon_bones.py). A class without "roll" (bows) keeps the turn of the shortest rotation +Z -> DIR. ROLL_DEG overrides the offset (degrees). +# Running it again places the weapon again. +import bpy, json, math +import numpy as np +from mathutils import Vector, Matrix + +PART = "polearm" # "polearm", "axe2h", "bow" or "weapon1h" +REF_ANIM = None # original weapon whose head orientation to copy (anim id, e.g. 624 halberd, 613 executioner's axe, 623 cutlass); None = the reference of the class +ROLL_DEG = None # or: offset of the head about the shaft in degrees (overrides REF_ANIM) +BONE = {"polearm": "polearm.L", "axe2h": "axe2h.L", "bow": "bow.L", "weapon1h": "weapon1h.R"}[PART] + +WM = json.loads(bpy.data.texts["weapon_motion.json"].as_string())[BONE] +rig = bpy.data.objects["UO_Rig"] +H = rig.matrix_world @ rig.data.bones[WM["parent"]].matrix_local # the hand bone (hand.L, hand.R) at rest -> world +piv = H @ Vector(WM["pivot"]); d = (H.to_3x3() @ Vector(WM["dir"])).normalized() +RO = WM.get("roll") +ru = None +if RO: # where +X of the weapon must point (perpendicular to the shaft) + delta = math.radians(ROLL_DEG) if ROLL_DEG is not None else RO["offsets"].get(str(REF_ANIM if REF_ANIM is not None else RO["ref"]), 0.0) + ru = (H.to_3x3() @ (Matrix.Rotation(delta, 3, Vector(WM["dir"]).normalized()) @ Vector(RO["e1"]))).normalized() +for ob in [o for o in bpy.context.selected_objects if o.type == "MESH"]: + co = np.array([ob.matrix_world @ v.co for v in ob.data.vertices]) + z0, ctr = co[:, 2].min(), co[:, :2].mean(0) # butt height, shaft axis (middle of the bounds in XY) + R = Vector((0, 0, 1)).rotation_difference(d).to_matrix().to_4x4() + start = piv + d * WM["butt"] # where the butt goes + Rr = Matrix.Identity(4) + if ru is not None: + x1 = R.to_3x3() @ Vector((1, 0, 0)) + Rr = Matrix.Rotation(math.atan2(d.dot(x1.cross(ru)), x1.dot(ru)), 4, d) + T = Matrix.Translation(start) @ Rr @ R @ Matrix.Translation(-Vector((ctr[0], ctr[1], z0))) + ob.matrix_world = T @ ob.matrix_world + print("uo_place_weapon: %s on the line of %s, butt at %.2f m along it" % (ob.name, BONE, WM["butt"])) diff --git a/third_party/UO_Model3D_v13/pipeline/uo_shield_keys.py b/third_party/UO_Model3D_v13/pipeline/uo_shield_keys.py new file mode 100644 index 0000000..55c8b34 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_shield_keys.py @@ -0,0 +1,31 @@ +# Update the motion of the shield bone (shield.L) in every UO action of THIS file to the latest fit on the original UO +# shield (anim 582). Your shield and its binding stay as they are. Run it once from Blender's Text Editor (Alt+P), then +# render again. Needs a file that already has the bone shield.L. +import bpy, json +import numpy as np +from mathutils import Quaternion, Vector + +# per UO action, per frame: turn (rotation vector, rad) and shift (m) of the shield in the bone's own axes +FRAMES = json.loads('{"0":[[0.25,-0.07,-0.23,0.041,0.015,0.015],[-0.0209,-0.0474,-0.2734,0.0453,0.0275,0.0181],[-0.3086,-0.3786,-0.15,0.0,0.026,0.0],[-0.0676,-0.3272,-0.1922,0.0085,0.0066,0.0043],[-0.3161,-0.3167,-0.2039,0.0242,-0.0394,-0.0081],[-0.2261,-0.2717,-0.2039,0.0392,0.0131,-0.0006],[-0.2261,-0.3167,-0.1589,0.0392,0.0131,0.0069],[-0.1561,-0.3167,-0.2289,0.0282,0.0021,0.0069],[-0.2011,-0.3617,-0.1389,0.0432,0.0096,0.0144],[-0.2011,-0.3167,-0.0939,0.0357,0.0096,0.0294]],"1":[[0.08,-0.17,-0.08,0.0075,-0.0225,-0.0265],[0.0643,0.0538,-0.1574,0.0001,0.0003,0.0179],[-0.025,-0.5686,-0.125,-0.015,-0.03,-0.0035],[0.02,-0.5686,-0.125,-0.03,-0.0225,-0.0035],[0.11,-0.5686,-0.215,0.0,-0.0525,-0.0185],[0.1778,-0.4032,-0.1365,0.0108,-0.0564,-0.0257],[-0.02,-0.6136,-0.105,-0.019,-0.0225,-0.03],[0.09,-0.5036,-0.11,0.0,-0.041,-0.019],[0.09,0.045,-0.125,0.0,-0.03,-0.015],[0.2184,-0.0857,-0.2378,-0.0188,-0.0224,-0.0338]],"2":[[-0.09,-0.1836,0.0,0.034,-0.0005,-0.06],[-0.2274,-0.1515,-0.0733,0.0225,-0.0224,-0.0434],[-0.5236,-0.3986,-0.135,0.0075,0.0075,-0.0075],[-0.4336,-0.3986,-0.135,-0.0075,0.0225,-0.0075],[-0.4136,-0.3186,-0.2,-0.015,0.0,-0.03],[-0.4136,-0.3436,-0.05,0.011,-0.0075,-0.03],[-0.1,-0.5236,-0.17,-0.045,0.0075,-0.03],[-0.27,-0.6136,-0.025,-0.011,-0.0075,-0.015],[-0.315,-0.5236,-0.105,0.004,0.011,0.0],[-0.065,-0.3986,-0.17,0.011,-0.011,-0.0225]],"3":[[-0.215,-0.3786,0.0,0.0,0.015,-0.03],[-0.6486,-0.3986,-0.08,0.015,0.0375,0.0],[-0.045,-0.4336,-0.08,0.0075,-0.03,-0.0375],[-0.02,-0.3886,-0.08,0.011,-0.026,-0.03],[0.06,-0.3886,-0.125,0.011,-0.0295,-0.06],[0.06,-0.3886,-0.055,0.026,-0.041,-0.03],[-0.005,-0.3186,-0.035,0.0415,-0.026,-0.015],[-0.3536,-0.5236,-0.045,0.015,0.015,0.0],[-0.3536,-0.4786,-0.09,0.0,0.011,-0.0035],[0.0174,-0.3956,-0.2445,-0.0014,0.0065,-0.0389]],"4":[[-0.5236,-0.3986,0.215,0.0225,0.0,0.0]],"5":[[-0.08,-0.4436,0.125,0.0,-0.03,-0.015],[-0.3928,-0.3455,0.0418,0.0101,-0.0117,-0.0118],[-0.3282,-0.5938,0.1625,0.0079,-0.0331,-0.0279],[-0.5236,-0.09,0.0,0.019,-0.015,-0.03],[-0.4436,-0.4336,0.045,-0.015,0.004,-0.0375]],"6":[[0.065,-0.3536,0.0,0.03,-0.03,-0.045],[0.2358,-0.6827,-0.0814,0.01,-0.0609,-0.0809],[0.3221,-0.5594,-0.0154,0.0196,-0.0544,-0.0712],[0.4255,-0.6013,-0.0061,0.0252,-0.0503,-0.0997],[-0.3536,-0.6136,0.2086,-0.015,0.0,-0.03]],"7":[[0.3536,-0.025,-0.065,0.06,-0.0375,0.0]],"8":[[-0.3736,-0.125,-0.015,0.015,0.0075,0.015]],"9":[[0.7586,-0.4786,-0.365,-0.0255,0.004,-0.075],[0.9736,-0.3086,-0.28,-0.0595,0.0,-0.03],[0.9936,-0.4786,-0.26,-0.037,-0.015,-0.075],[0.7386,-1.0022,-0.09,-0.0375,-0.03,-0.045],[1.274,-0.6731,-0.2722,-0.015,-0.0177,-0.1052],[0.9172,-0.9372,-0.5436,-0.09,0.0,-0.075],[0.9172,-0.7672,-0.5436,-0.06,0.0,-0.105]],"10":[[0.6736,-0.4836,-0.13,-0.015,-0.0525,-0.049],[0.7986,-0.5936,-0.21,-0.03,-0.03,-0.0715],[0.8786,-0.5036,-0.13,-0.015,-0.03,-0.0715],[0.7886,-0.4586,-0.13,-0.03,-0.03,-0.0755],[0.8686,-0.4586,-0.13,-0.011,-0.045,-0.0565],[0.295,-0.3886,-0.09,-0.0225,-0.0225,-0.015],[0.7386,-0.7522,-0.25,0.0,-0.03,-0.075]],"11":[[0.5236,-0.3136,-0.15,-0.0155,-0.0115,-0.03],[0.7136,-0.6136,-0.09,0.0,-0.0225,-0.0675],[0.7936,-0.3786,-0.09,-0.0115,-0.0375,-0.06],[0.8936,-0.3786,-0.135,0.0185,-0.0225,-0.09],[0.8486,-0.3786,-0.225,-0.0265,-0.015,-0.0525],[0.924,-0.7233,-0.342,-0.0554,0.0019,-0.1042],[1.094,-0.5733,-0.232,-0.0364,-0.0131,-0.1192]],"12":[[0.0,-0.3536,0.045,0.0,0.075,0.03],[0.09,-0.5236,0.2186,-0.03,0.019,0.0],[0.3536,-0.5236,0.145,-0.03,0.0,0.0],[0.4336,-0.4786,-0.09,-0.0115,0.0075,-0.0225],[1.0472,-0.17,-0.2036,0.0,0.0,0.03],[1.0022,-0.045,-0.9572,0.0115,0.015,0.004],[0.2636,-0.6936,-0.0936,-0.026,0.03,-0.06]],"13":[[0.295,-0.8072,-0.0314,0.004,0.0675,-0.0375],[0.215,-0.8522,-0.1214,-0.056,0.075,-0.0525],[0.045,-0.4786,-0.145,-0.0185,0.067,-0.0225],[0.275,-0.7872,-0.125,0.0075,0.0525,-0.0525],[-0.125,-0.9472,-0.2286,0.0,0.0525,-0.075],[0.5236,-0.7836,-0.2286,0.015,0.015,-0.015],[0.4786,-0.5686,-0.3086,0.0075,0.0115,-0.0225]],"14":[[0.6236,-0.9672,0.025,-0.0115,-0.0225,-0.03],[-1.1022,-0.8972,0.4336,-0.004,0.094,-0.045],[0.26,-1.2172,0.6372,-0.045,0.015,-0.045],[0.475,-1.1372,0.5122,-0.038,0.038,-0.0415],[0.5236,-1.0472,0.145,-0.09,0.026,-0.004],[-0.4136,-0.9472,0.5236,-0.075,0.045,0.015],[1.2622,0.42,0.3672,0.21,-0.004,-0.075]],"15":[[0.7386,-0.8322,0.1236,0.0075,0.0635,-0.045],[0.9319,-0.9089,0.0176,0.0164,0.0674,-0.024],[1.0119,-0.9089,0.1076,0.0014,0.0524,-0.039],[0.9482,-0.9063,0.0595,0.0097,0.0767,-0.0299],[0.8191,-0.8937,0.0462,0.0051,0.0522,-0.0341],[0.883,-0.9537,0.0421,0.0075,0.0777,-0.0419],[0.883,-0.9337,0.0421,0.0035,0.0627,-0.0419],[0.8676,-0.9435,0.0536,-0.0005,0.0682,-0.035],[0.6418,-0.9346,0.0448,-0.0075,0.0794,-0.0451],[0.864,-0.8387,0.0796,0.0072,0.0511,-0.0418]],"16":[[1.1922,-0.9222,-0.215,-0.03,-0.015,0.0],[0.2836,-0.2186,-0.125,0.0075,0.06,-0.019],[0.2186,-0.2986,0.0,0.0455,0.045,-0.0265],[0.7136,-0.5236,0.3536,0.06,-0.015,-0.015],[0.5236,-0.4236,0.1,0.015,0.015,0.0],[-0.08,-0.26,1.0372,0.03,0.015,-0.015],[0.5236,-0.3536,0.0,0.0375,0.0225,-0.0335]],"17":[[0.3536,0.3536,0.9536,0.165,-0.03,0.075],[0.6036,1.7058,0.9222,0.18,0.041,-0.0525],[0.5586,2.0458,0.6822,0.199,0.026,-0.0715],[0.5686,1.6608,-0.17,0.165,-0.015,-0.06],[0.7386,1.8308,0.0,0.195,-0.026,-0.06],[1.2172,-0.3536,-0.09,-0.015,-0.03,-0.075],[1.0922,-0.4786,0.015,-0.0375,-0.03,-0.0485]],"18":[[0.0,0.0,-0.15,0.019,0.0715,0.015],[0.5436,-0.19,-0.045,-0.0375,-0.056,0.0],[0.4186,-0.295,-0.045,-0.079,-0.052,-0.018],[1.4908,-0.2636,-0.3536,-0.116,-0.03,-0.056],[1.1951,-0.3574,-0.2946,-0.1161,-0.0189,-0.0021],[1.6477,-0.4376,-0.2296,-0.1006,-0.0166,-0.0402],[0.26,-0.8636,-0.34,-0.015,0.124,0.0]],"19":[[0.4236,-0.5236,-0.3536,-0.079,-0.019,-0.026],[1.0022,-0.6386,-0.26,-0.0375,-0.0565,-0.015],[1.1272,-0.7186,-0.305,-0.0525,-0.0415,-0.015],[1.0923,-0.7774,-0.3598,-0.05,-0.0516,-0.0374],[1.2623,-0.5624,-0.3598,-0.0425,-0.0591,0.0001],[0.7986,-0.3336,-0.3536,-0.0225,-0.03,-0.011],[0.3536,-0.3986,-0.25,-0.0565,0.015,0.03]],"20":[[0.125,-0.3536,0.0,0.015,0.03,-0.03],[0.5236,-0.17,0.045,-0.011,0.0115,0.019],[0.255,-0.5886,-0.135,0.0145,0.004,-0.03],[0.045,-0.6136,-0.045,0.0,0.004,-0.06],[-0.1071,-0.3054,0.0058,0.0208,0.0668,-0.0094]],"21":[[-0.3086,-0.13,0.1386,0.0075,0.0605,0.0],[-0.3536,-0.6936,0.4336,-0.049,0.06,-0.045],[0.02,-0.6486,0.3986,-0.0715,0.041,-0.045],[0.4786,-0.8522,0.5236,-0.0375,-0.03,-0.06],[0.5236,-0.5922,0.2636,-0.0675,-0.015,-0.0825],[0.5236,-0.5022,-0.1664,-0.1425,0.075,-0.0375]],"22":[[-0.17,-0.3536,0.15,0.0075,0.049,-0.03],[-0.8972,-0.6036,0.045,-0.075,0.09,-0.09],[-1.2022,-0.5286,0.27,-0.015,0.12,-0.0525],[0.5236,-0.07,-0.8772,-0.03,0.0675,-0.06],[0.7336,-0.05,-0.6372,-0.075,0.0865,-0.094],[-0.3536,0.09,-0.295,-0.0525,0.0075,-0.12]],"23":[[0.3736,-0.125,-0.5236,0.15,0.049,-0.026],[0.6636,-0.1788,-0.364,0.1468,0.0474,-0.0808],[0.8536,-0.1588,-0.364,0.1358,0.0249,-0.0808],[0.5146,-0.4165,-0.4279,0.1508,0.0334,-0.0911],[0.6846,-0.0765,-0.4279,0.1808,0.0594,-0.0911]],"24":[[0.5436,0.0,-0.3986,0.165,0.056,-0.056],[0.7716,-0.1351,-0.5734,0.1252,0.0559,-0.0807],[0.9166,-0.2801,-0.4284,0.1177,0.0559,-0.0432],[0.7655,-0.179,-0.3643,0.1266,0.0388,-0.0637],[0.8171,0.082,-0.4495,0.1298,0.0689,-0.0638]],"25":[[0.6936,0.0,-0.4336,0.131,0.03,-0.03]],"26":[[0.6936,-0.17,-0.3536,-0.0225,-0.0075,0.0],[0.2699,-0.3708,-0.0892,-0.0125,0.0222,-0.0034],[0.3699,-0.4508,-0.0892,0.0065,0.0297,-0.0034],[-0.2553,-0.6618,-0.1209,-0.0409,0.0522,-0.0528],[-0.0603,-0.6418,-0.0759,-0.1009,0.0522,-0.0488]],"27":[[0.045,-0.8322,-0.215,-0.03,0.075,-0.015],[1.3072,-0.9122,-0.235,-0.0485,0.0225,-0.045],[0.8772,-1.0472,-0.3536,-0.09,0.056,-0.004],[0.9672,-0.9222,-0.3736,-0.056,0.0185,-0.049],[1.3422,-0.8022,-0.495,-0.0185,0.0075,-0.045]],"28":[[-0.5236,0.5436,1.0672,0.0635,-0.06,0.03],[2.0944,-0.6286,-0.7072,-0.0225,-0.0375,-0.0525],[-0.7386,0.2436,-0.6936,0.0225,-0.0075,-0.0525],[-0.5659,0.3481,-0.4821,0.0179,-0.0083,-0.0331],[-0.2042,0.2623,-0.6632,-0.012,0.0018,-0.0658],[-0.3742,0.1373,-0.3232,0.048,-0.0207,-0.0658],[1.0472,-0.6936,-0.3086,-0.0675,-0.015,-0.015]],"29":[[0.6336,1.2372,0.1836,0.165,0.075,-0.09],[0.0786,1.4372,0.0036,0.195,0.071,-0.004],[-0.8386,0.6686,-1.4672,0.21,0.071,0.0525],[-0.17,-0.125,-2.4794,0.184,0.06,0.0375],[0.2989,0.117,-2.8556,0.1343,0.0538,0.0333]],"30":[[0.3336,-0.3986,0.3536,-0.015,-0.004,-0.03],[0.3886,-0.6136,0.09,-0.015,0.03,-0.03],[0.3536,-0.2886,0.2636,0.06,-0.019,0.015],[0.793,-0.0932,2.143,0.1508,0.0234,0.0397],[0.6,1.4186,0.1664,0.21,0.06,-0.075]],"31":[[0.6486,-0.5886,-0.08,-0.0225,0.0185,-0.019],[0.4786,-0.6486,-0.045,-0.0075,0.0335,-0.0225],[0.4192,-0.8101,-0.0528,0.0071,0.0768,-0.0009],[0.25,-0.5236,0.0,-0.015,0.0225,-0.026],[0.25,-0.5236,-0.02,0.011,-0.0115,-0.026],[0.225,-0.5686,0.17,-0.015,0.0185,-0.026],[-0.045,-1.4008,0.6136,-0.12,-0.034,-0.12]],"32":[[-0.045,-0.6286,0.045,0.0225,0.0415,-0.03],[-0.025,-0.5636,-0.075,0.023,0.053,-0.0185],[-0.3536,-0.6936,0.07,-0.0075,0.079,-0.015],[0.6936,-0.5936,0.025,-0.0225,0.0225,0.0],[0.045,-0.6486,0.045,0.0185,0.0375,-0.03]],"33":[[0.0,0.0,0.17,0.0825,0.015,-0.03],[-0.0951,0.1474,-0.0994,0.1087,-0.0243,-0.0252],[-0.466,0.2123,-0.1819,0.1091,-0.0087,-0.0166],[-0.0048,0.1016,-0.0,0.0775,0.0077,-0.0324],[-0.0753,0.133,-0.0897,0.0853,-0.0072,-0.0313]],"34":[[-0.09,-0.7872,-0.0936,0.015,0.015,-0.03],[-0.0399,-0.5953,0.0535,0.0259,0.0006,-0.0508],[0.0051,-0.6403,0.0535,0.0859,0.0196,-0.0133],[-0.2484,-0.6718,0.0628,0.0511,0.0147,-0.0246],[0.045,-0.6136,0.02,0.0225,0.0075,-0.0225]]}') + +rig = bpy.data.objects["UO_Rig"] +if "shield.L" not in rig.pose.bones: + raise RuntimeError("this file has no shield bone (shield.L) - use the current UO_Body_0x190.blend") +pb = rig.pose.bones["shield.L"] +pb.rotation_mode = "QUATERNION" +keep = rig.animation_data.action +n = 0 +for act in [a for a in bpy.data.actions if "uo_action" in a]: + rows = FRAMES.get(str(int(act["uo_action"]))) + if not rows: + continue + rig.animation_data.action = act + for i, p in enumerate(rows[:int(act["uo_frames"])]): + r = Vector(p[:3]); ang = r.length + pb.rotation_quaternion = Quaternion(r / ang, ang) if ang > 1e-9 else Quaternion() + pb.location = p[3:] + pb.keyframe_insert("location", frame=1 + 3 * i, group="shield.L") + pb.keyframe_insert("rotation_quaternion", frame=1 + 3 * i, group="shield.L") + n += 1 +rig.animation_data.action = keep +print("uo_shield_keys: shield.L updated in %d actions" % n) diff --git a/third_party/UO_Model3D_v13/pipeline/uo_transfer_corrections.py b/third_party/UO_Model3D_v13/pipeline/uo_transfer_corrections.py new file mode 100644 index 0000000..9da99e8 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_transfer_corrections.py @@ -0,0 +1,73 @@ +# Copy the per-frame shape corrections of UO_Body onto the SELECTED clothing / armour meshes. +# Use after the item is bound to the rig (Armature modifier + weights, see README). Run with Alt+P in the Text Editor. +# Every vertex takes the correction of the nearest point of the body skin (rest pose) of the bones the item is +# weighted to, so the item follows the corrected body in all 210 UO frames. Run it again after you edit the item's +# shape. uo_bind_item.py does the weights and this step in one run. +import bpy +import numpy as np +from mathutils import Vector +from mathutils.bvhtree import BVHTree +from mathutils.geometry import barycentric_transform + +body = bpy.data.objects["UO_Body"] +rig = bpy.data.objects["UO_Rig"] + + +def transfer(ob): + if body.data.shape_keys is None: # v13 body: no corrections, nothing to copy + print("uo_transfer_corrections: UO_Body has no corrective shape keys - nothing to do for", ob.name) + return + kb = body.data.shape_keys.key_blocks + basis = np.array([v.co[:] for v in kb["Basis"].data], np.float64) + body.data.calc_loop_triangles() + tri = [tuple(t.vertices) for t in body.data.loop_triangles] + # only the skin of the bones the item is weighted to (a breastplate never takes the arm corrections) + names = [g.name for g in body.vertex_groups] + allowed = {g.name for g in ob.vertex_groups} & set(names) + if allowed: + W = np.zeros((len(body.data.vertices), len(names))) + for v in body.data.vertices: + for g in v.groups: + W[v.index, g.group] = g.weight + dom = W[np.array(tri)].sum(1).argmax(1) + tri = [t for t, b in zip(tri, dom) if names[b] in allowed] or tri + bvh = BVHTree.FromPolygons([Vector(p) for p in basis], tri) + M = body.matrix_world.inverted() @ ob.matrix_world # item space -> body space + R = np.array(M.to_3x3().inverted()) # body offsets -> item space + src = [] + for v in ob.data.vertices: + p = M @ v.co + loc, nrm, fi, dist = bvh.find_nearest(p) + a, b, c = tri[fi] + A, B, C = (Vector(basis[k]) for k in (a, b, c)) + w = barycentric_transform(loc, A, B, C, Vector((1, 0, 0)), Vector((0, 1, 0)), Vector((0, 0, 1))) + src.append((a, b, c, w[0], w[1], w[2])) + src = np.array(src) + idx = src[:, :3].astype(int); wts = src[:, 3:] + if ob.data.shape_keys is None: + ob.shape_key_add(name="Basis", from_mix=False) + for k in [k for k in ob.data.shape_keys.key_blocks if k.name.startswith("uo_")]: + ob.shape_key_remove(k) + obasis = np.array([v.co[:] for v in ob.data.shape_keys.key_blocks["Basis"].data], np.float64) + drivers = {d.data_path: d for d in body.data.shape_keys.animation_data.drivers} + for k in [k for k in kb if k.name.startswith("uo_")]: + off = np.array([v.co[:] for v in k.data], np.float64) - basis + o = (off[idx] * wts[..., None]).sum(1) @ R.T + sk = ob.shape_key_add(name=k.name, from_mix=False) + sk.data.foreach_set("co", (obasis + o).ravel().astype(np.float32)) + src_d = drivers['key_blocks["%s"].value' % k.name].driver + d = sk.driver_add("value").driver; d.type = "SCRIPTED" + for sv in src_d.variables: + v = d.variables.new(); v.name = sv.name; v.type = sv.type + v.targets[0].id_type = sv.targets[0].id_type; v.targets[0].id = sv.targets[0].id + v.targets[0].data_path = sv.targets[0].data_path + d.expression = src_d.expression + print("corrections copied to", ob.name, len([k for k in kb if k.name.startswith("uo_")])) + + +pose = rig.data.pose_position +rig.data.pose_position = "REST" +bpy.context.view_layer.update() +for ob in [o for o in bpy.context.selected_objects if o.type == "MESH" and o != body]: + transfer(ob) +rig.data.pose_position = pose diff --git a/third_party/UO_Model3D_v13/pipeline/uo_vd_writer.py b/third_party/UO_Model3D_v13/pipeline/uo_vd_writer.py new file mode 100644 index 0000000..9d61356 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/uo_vd_writer.py @@ -0,0 +1,129 @@ +"""Minimal .vd (UOFiddler animation export) writer: numpy only, usable inside Blender. + +frames are RGBA uint8 arrays on a canvas where the character's ground point is at pixel (anchor_x, anchor_y). +Same format as vdtool.py (see README.md).""" +import struct +import numpy as np + +MAGIC = 6 +END = 0x7FFF7FFF +ACTIONS_BY_TYPE = {0: 22, 1: 13, 2: 35} + + +def rgb_to_c15(rgb): + rgb = np.asarray(rgb, np.int32) + r, g, b = [(rgb[..., i] * 31 + 127) // 255 for i in range(3)] + c = (r << 10) | (g << 5) | b + return np.where(c == 0, 1, c).astype(np.int64) # 0x0000 is transparent in the client + + +def c15_to_rgb(c): + c = np.asarray(c, np.int64) + return np.stack([((c >> 10) & 31) * 255 // 31, ((c >> 5) & 31) * 255 // 31, (c & 31) * 255 // 31], -1) + + +def median_cut(colors, counts, n=256): + """colors (K,3) int, counts (K,) -> palette (<=n,3) float.""" + boxes = [np.arange(len(colors))] + while len(boxes) < n: + spans = [np.ptp(colors[b], axis=0).max() if len(b) > 1 else -1 for b in boxes] + i = int(np.argmax(spans)) + if spans[i] <= 0: + break + b = boxes.pop(i) + ax = int(np.argmax(np.ptp(colors[b], axis=0))) + order = b[np.argsort(colors[b, ax])] + cum = np.cumsum(counts[order]) + k = int(np.searchsorted(cum, cum[-1] / 2)) + 1 + k = min(max(k, 1), len(order) - 1) + boxes += [order[:k], order[k:]] + return np.array([np.average(colors[b], axis=0, weights=counts[b]) for b in boxes]) + + +def build_palette(images): + """images: list of RGBA uint8. Returns (palette[256] 15-bit ints, list of index maps (-1 = transparent)).""" + masks = [im[..., 3] >= 128 for im in images] + c15 = [rgb_to_c15(im[..., :3]) for im in images] + allc = np.concatenate([c[m] for c, m in zip(c15, masks)] + [np.zeros(0, np.int64)]) + used, counts = np.unique(allc, return_counts=True) + if len(used) <= 256: + palette = used.tolist() + else: + pal_rgb = median_cut(c15_to_rgb(used).astype(np.float64), counts.astype(np.float64), 256) + palette = np.unique(rgb_to_c15(np.round(pal_rgb))).tolist() + palette = palette + [0] * (256 - len(palette)) + pal_rgb = c15_to_rgb(np.array(palette)).astype(np.int64) + valid = np.array(palette) > 0 + lut = {c: i for i, c in enumerate(palette) if c} + maps = [] + for im, c, m in zip(images, c15, masks): + idx = np.full(m.shape, -1, np.int16) + cc = c[m] + direct = np.array([lut.get(int(v), -1) for v in cc], np.int16) + miss = direct < 0 + if miss.any(): + src = c15_to_rgb(cc[miss]).astype(np.int64) + dist = ((src[:, None, :] - pal_rgb[None, valid, :]) ** 2).sum(-1) + direct[miss] = np.nonzero(valid)[0][dist.argmin(1)] + idx[m] = direct + maps.append(idx) + return palette, maps + + +def crop_frame(rgba, anchor_x, anchor_y): + """Canvas RGBA -> (cropped RGBA, centerX, centerY). Empty frame -> 1x1 transparent.""" + m = rgba[..., 3] >= 128 + if not m.any(): + return np.zeros((1, 1, 4), np.uint8), 0, -1 + ys, xs = np.nonzero(m) + y0, y1, x0, x1 = ys.min(), ys.max() + 1, xs.min(), xs.max() + 1 + crop = rgba[y0:y1, x0:x1] + return crop, int(anchor_x - x0), int((anchor_y - y0) - (y1 - y0)) + + +def encode_frame(idx, cx, cy): + h, w = idx.shape + out = bytearray(struct.pack("= 0 and x - x0 < 0xFFF: + x += 1 + out += struct.pack(" list of canvas RGBA frames. Missing blocks are written empty.""" + n = ACTIONS_BY_TYPE[anim_type] * 5 + head = bytearray(struct.pack(" 1e-9 else Quaternion() + if ROLL and roll is not None: # the turn of the weapon about its own axis (weapon_roll_fit.py): R' = R * Rot_line(phi) + q = q @ Quaternion(Vector(c["dir"]).normalized(), roll["phi"].get("%d,%d" % (int(act["uo_action"]), i), 0.0)) + pb.rotation_quaternion = q + pb.location = p[3:] + pb.keyframe_insert("location", frame=1 + 3 * i, group=b) + pb.keyframe_insert("rotation_quaternion", frame=1 + 3 * i, group=b) + n += 1 + print("uo_weapon_bones: %s keyed on %d poses" % (b, n)) +rig.animation_data.action = keep diff --git a/third_party/UO_Model3D_v13/pipeline/vd.py b/third_party/UO_Model3D_v13/pipeline/vd.py new file mode 100644 index 0000000..afb384d --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/vd.py @@ -0,0 +1,46 @@ +import struct, json, os +import numpy as np +from PIL import Image + +ACTIONS_PEOPLE = [ + "walk_unarmed","walk_armed","run_unarmed","run_armed","stand","fidget_1","fidget_2", + "combat_idle_1h","combat_idle_2h","attack_1h_slash","attack_1h_pierce","attack_1h_bash", + "attack_2h_bash","attack_2h_slash","attack_2h_pierce","combat_advance","spell_directed", + "spell_area","attack_bow","attack_crossbow","get_hit","die_forward","die_backward", + "mounted_walk","mounted_run","mounted_stand","mounted_attack_1h","mounted_attack_bow", + "mounted_attack_crossbow","mounted_attack_2h","block","punch","bow","salute","eat"] + +def c16(c): + r=(c>>10)&0x1f; g=(c>>5)&0x1f; b=c&0x1f + return (r*255//31, g*255//31, b*255//31) + +def read_vd(path): + d=open(path,'rb').read() + ft,at=struct.unpack_from('>22)&0x3ff); y=yb+((hdr>>12)&0x3ff); n=hdr&0xfff + idx=d[p:p+n]; p+=n + for k,ci in enumerate(idx): + img[y,x+k,:3]=pal[ci]; img[y,x+k,3]=255 + frames.append(dict(cx=cx,cy=cy,w=w,h=h,img=img)) + anims[(a,dr)]=frames + return at,nact,anims diff --git a/third_party/UO_Model3D_v13/pipeline/view3d.py b/third_party/UO_Model3D_v13/pipeline/view3d.py new file mode 100644 index 0000000..e82d0c6 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/view3d.py @@ -0,0 +1,39 @@ +"""Perspective Blender render of the skinned mesh in fitted poses (plausibility check, like the user's viewport).""" +import bpy, sys, pickle, math, os +import numpy as np +from mathutils import Vector +sys.argv = [a for a in sys.argv] +res_file = sys.argv[sys.argv.index("--res") + 1]; a = int(sys.argv[sys.argv.index("--action") + 1]); out = sys.argv[sys.argv.index("--out") + 1] +import jax.numpy as jnp +from posefit_mesh import posed, md +res = pickle.load(open(res_file, "rb"))[a]["poses"] +F = res["trans"].shape[0] +bpy.ops.wm.read_factory_settings(use_empty=True) +sc = bpy.context.scene +sc.render.engine = "CYCLES"; sc.cycles.samples = 8; sc.render.resolution_x, sc.render.resolution_y = 260, 320 +w = bpy.data.worlds.new("W"); sc.world = w; w.use_nodes = True; w.node_tree.nodes["Background"].inputs[0].default_value = (0.2, 0.21, 0.24, 1) +l = bpy.data.lights.new("S", "SUN"); l.energy = 3; lo = bpy.data.objects.new("S", l); lo.rotation_euler = (0.8, 0, -0.6); sc.collection.objects.link(lo) +cam = bpy.data.cameras.new("C"); cam.lens = 50; co = bpy.data.objects.new("C", cam); sc.collection.objects.link(co); sc.camera = co +mat = bpy.data.materials.new("M"); mat.use_nodes = True; mat.node_tree.nodes["Principled BSDF"].inputs["Base Color"].default_value = (0.7, 0.7, 0.7, 1) +tiles = [] +from PIL import Image +for i in range(F): + X = np.asarray(posed({k: jnp.asarray(v[i]) for k, v in res.items()})) + me = bpy.data.meshes.new("B%d" % i); me.from_pydata(X.tolist(), [], md["faces"]); me.update() + for p in me.polygons: p.use_smooth = True + me.materials.append(mat) + ob = bpy.data.objects.new("B%d" % i, me); sc.collection.objects.link(ob) + c = X.mean(0) + for yaw in (30, 120): + r = math.radians(yaw); pos = Vector((c[0] + 4.5 * math.sin(r), c[1] - 4.5 * math.cos(r), c[2] + 1.2)) + co.location = pos; co.rotation_euler = (Vector(c.tolist()) - pos).to_track_quat("-Z", "Y").to_euler() + p = os.path.abspath(f"{out}_{i}_{yaw}.png"); sc.render.filepath = p; bpy.ops.render.render(write_still=True) + tiles.append(p) + bpy.data.objects.remove(ob) +ims = [Image.open(p).convert("RGB") for p in tiles] +cols = 2 +grid = Image.new("RGB", (ims[0].width * F, ims[0].height * cols)) +for i in range(F): + for j in range(cols): + grid.paste(ims[i * cols + j], (i * ims[0].width, j * ims[0].height)) +grid.save(out + "_grid.png") diff --git a/third_party/UO_Model3D_v13/pipeline/viz.py b/third_party/UO_Model3D_v13/pipeline/viz.py new file mode 100644 index 0000000..e10d215 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/viz.py @@ -0,0 +1,18 @@ +import numpy as np +from PIL import Image +def overlay_row(tg, occs, zoom=4): + """tg: (5,H,W,4) uint8, occs: (5,H,W) float -> composite image: sprite with red model silhouette outline tint""" + tiles=[] + for d in range(len(tg)): + t=tg[d].astype(np.float32) + base=np.full(t.shape[:2]+(3,),40.0) + a=t[...,3:4]/255 + base=base*(1-a)+t[...,:3]*a + o=np.asarray(occs[d])[...,None] + # model: blue tint where model only, red where sprite only + col=base.copy() + col=col*(1-0.45*o)+np.array([60,120,255])*0.45*o + tiles.append(np.clip(col,0,255).astype(np.uint8)) + row=np.concatenate(tiles,1) + im=Image.fromarray(row) + return im.resize((im.width*zoom,im.height*zoom),Image.NEAREST) diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_classify.py b/third_party/UO_Model3D_v13/pipeline/weapon_classify.py new file mode 100644 index 0000000..8a40169 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_classify.py @@ -0,0 +1,43 @@ +"""Which weapon class (bone) fits each original weapon animation best? For every weapon animation of anim..anim5 (list: item_animations.json, layers +OneHanded / TwoHanded) the sprite is fitted with the class line + class motion of every weapon bone of weapon_motion.json (weapon_fit.py `cross`: +the ends along the line are fitted per weapon). Reports the mean chamfer (px) per class and the best class. + + python weapon_classify.py WP.npz VDROOT META.json OUT.json [--procs 4] +VDROOT//anim_.vd (vdtool/mul2vd.py); META.json: {animation id: {file, local, name, layers, frames, complete}} +""" +import os, sys, json +import numpy as np +from multiprocessing import Pool + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, HERE) +import weapon_fit as WF # noqa: E402 + +WM = json.load(open(os.path.join(HERE, "weapon_motion.json"))) +BONE_OF = {"polearm.L": "hand.L", "axe2h.L": "hand.L", "bow.L": "hand.L", "weapon1h.R": "hand.R"} + + +def one(args): + wp, vdroot, aid, m = args + path = os.path.join(vdroot, m["file"], "anim_%04d.vd" % m["local"]) + V = WF.Views(wp, path) + res = {} + for cls, C in WM.items(): + poses = {tuple(int(x) for x in k.split(",")): (v[:3], v[3:]) for k, v in C["poses"].items()} + line = {"p0": C["pivot"], "u": C["dir"], "piv": (np.array(C["pivot"]) - np.array(C["dir"]) * (np.array(C["pivot"]) @ np.array(C["dir"]))).tolist()} + per, x = WF.apply_class(V, BONE_OF[cls], line, poses) + per0, _ = WF.apply_class(V, BONE_OF[cls], line, {}) + res[cls] = dict(chamfer=float(per.mean()), rigid=float(per0.mean()), extent=[float(x[0]), float(x[1])]) + best = min(res, key=lambda c: res[c]["chamfer"]) + print(aid, m["name"], best, {c: round(r["chamfer"], 2) for c, r in res.items()}, flush=True) + return aid, dict(name=m["name"], file=m["file"], local=m["local"], views=V.n, classes=res, best=best) + + +if __name__ == "__main__": + wp, vdroot, meta, out = sys.argv[1:5] + procs = int(sys.argv[sys.argv.index("--procs") + 1]) if "--procs" in sys.argv else 4 + meta = json.load(open(meta)) + jobs = [(wp, vdroot, aid, m) for aid, m in sorted(meta.items(), key=lambda kv: int(kv[0]))] + with Pool(procs) as p: + res = dict(p.imap_unordered(one, jobs)) + json.dump(res, open(out, "w"), indent=1) diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_fit.py b/third_party/UO_Model3D_v13/pipeline/weapon_fit.py new file mode 100644 index 0000000..4c87aa4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_fit.py @@ -0,0 +1,234 @@ +"""Offline calibration of how UO holds a weapon, from the original weapon animation (anim.mul) and the exported poses of the model. + +A weapon is a straight shaft (a stick: two end points) in the local frame of a hand bone. Metric = symmetric chamfer distance in pixels +between the projected stick and the sprite (mean of: stick samples -> nearest sprite pixel, sprite pixels -> nearest point of the stick), +like the report (8.3). numpy / scipy only. + + python weapon_fit.py rigid WP.npz VDDIR ANIM BONE [--len 1.0] one rigid stick in the bone for all frames (report 8.3) + python weapon_fit.py perpose WP.npz VDDIR ANIM BONE [--len 1.0] [--out F.json] + a correction (turn, shift in the bone frame) per pose +Library: Views (masks, distance transforms, projection), rigid_fit, chamfer. +""" +import os, sys, json +import numpy as np +from scipy import ndimage, optimize + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "..", "vdtool")) +import vdtool # noqa: E402 + + +class Views: + """all (pose, direction) views of one weapon animation: sprite masks on the canvas of WP.npz, distance transforms, projection rows""" + + def __init__(self, wp_npz, vd_path, bones=None, max_px=60): + d = np.load(wp_npz) + self.bones = [str(b) for b in d["bones"]]; self.W, self.H = (int(x) for x in d["canvas"]); ax, ay = (int(x) for x in d["anchor"]) + _, blocks = vdtool.read_vd(vd_path) + blk = {(b["action"], b["dir"]): b for b in blocks} + keep, masks = [], [] + for n, (a, di, i) in enumerate(d["key"]): + b = blk.get((int(a), int(di))) + if b is None or i >= len(b["frames"]): + continue + f = b["frames"][i]; rgba = vdtool.frame_rgba(f, b["palette"]); h, w = rgba.shape[:2] + m = np.zeros((self.H, self.W), bool); x0, y0 = ax - f["cx"], ay - f["cy"] - f["h"] + ys, xs = slice(max(y0, 0), min(y0 + h, self.H)), slice(max(x0, 0), min(x0 + w, self.W)) + if ys.stop > ys.start and xs.stop > xs.start: + m[ys, xs] = rgba[ys.start - y0:ys.stop - y0, xs.start - x0:xs.stop - x0, 3] > 0 + if m.sum() >= 4: + keep.append(n); masks.append(m) + keep = np.array(keep) + self.n = len(keep); self.key = d["key"][keep]; self.PX = d["PX"][keep]; self.BW = d["BW"][keep]; self.masks = np.array(masks) + self.DT = np.array([ndimage.distance_transform_edt(~m) for m in self.masks]).astype(np.float32) + rng = np.random.default_rng(0) + self.pts = np.zeros((self.n, max_px, 2)); self.npts = np.zeros(self.n, int) + for k, m in enumerate(self.masks): + p = np.argwhere(m)[:, ::-1] + 0.5 + if len(p) > max_px: + p = p[rng.choice(len(p), max_px, replace=False)] + self.pts[k, :len(p)] = p; self.npts[k] = len(p) + + def bone_world(self, bone, unscaled=True): + """world matrices of a bone's pose; unscaled: the scale of the pose (up to 1.3 in the hand) removed from the rotation columns, i.e. what a + child bone with inherit_scale NONE gets""" + M = self.BW[:, self.bones.index(bone)].copy() + if unscaled: + M[:, :3, :3] /= np.linalg.norm(M[:, :3, :3], axis=1, keepdims=True) + return M + + def project(self, Mbone, P): + """points P (..., 3) in the local frame of a bone with world matrices Mbone (n,4,4) -> pixels (n, ..., 2)""" + Pw = np.einsum("nij,...j->n...i", Mbone[:, :3, :3], P) + Mbone[:, :3, 3].reshape((self.n,) + (1,) * (P.ndim - 1) + (3,)) + Pw1 = np.concatenate([Pw, np.ones(Pw.shape[:-1] + (1,))], -1) + return np.einsum("nij,n...j->n...i", self.PX[:, :2], Pw1) + + +def chamfer(V, A, B, ns=40, cap=15.0, parts=False): + """per view symmetric chamfer (px) of the segments A -> B in pixel coordinates (n,2); capped at `cap` px""" + t = np.linspace(0, 1, ns + 1)[None, :, None] + S = A[:, None] + (B - A)[:, None] * t # (n, ns+1, 2) samples of the stick + xi = np.clip(S[..., 0].astype(int), 0, V.W - 1); yi = np.clip(S[..., 1].astype(int), 0, V.H - 1) + d1 = np.minimum(V.DT[np.arange(V.n)[:, None], yi, xi], cap).mean(1) + e = (B - A)[:, None]; ll = (e ** 2).sum(-1) + 1e-9 + tt = np.clip((((V.pts - A[:, None]) * e).sum(-1)) / ll, 0, 1) + dd = np.sqrt(((A[:, None] + e * tt[..., None] - V.pts) ** 2).sum(-1)) + valid = np.arange(V.pts.shape[1])[None] < V.npts[:, None] + d2 = (np.minimum(dd, cap) * valid).sum(1) / np.maximum(V.npts, 1) + return (d1, d2) if parts else 0.5 * (d1 + d2) + + +def unit(th, ph): + return np.array([np.sin(th) * np.cos(ph), np.sin(th) * np.sin(ph), np.cos(th)]) + + +def rigid_fit(V, bone, L0=1.0, grip0=(0, 0, 0), verbose=True): + """one rigid stick (p0, direction, length) in the bone frame for all views; returns dict and per-view chamfer""" + M = V.bone_world(bone) + def f(x): + p0 = x[2:5]; u = unit(x[0], x[1]); a, b = V.project(M, np.array([p0, p0 + u * x[5]]))[:, 0], None + pr = V.project(M, np.array([p0, p0 + u * x[5]])) + return chamfer(V, pr[:, 0], pr[:, 1]).mean() + best = (1e9, None) + for th in np.linspace(0, np.pi, 9): + for ph in np.linspace(-np.pi, np.pi, 16, endpoint=False): + x = np.array([th, ph, *grip0, L0]); v = f(x) + if v < best[0]: best = (v, x) + r = optimize.minimize(f, best[1], method="Powell", options=dict(xtol=1e-3, ftol=1e-5, maxiter=4000)) + x = r.x; p0 = x[2:5]; u = unit(x[0], x[1]); pr = V.project(M, np.array([p0, p0 + u * x[5]])) + per = chamfer(V, pr[:, 0], pr[:, 1]) + if verbose: + print("rigid in %s: grip %s dir %s len %.2f chamfer mean %.2f median %.2f px" % (bone, np.round(p0, 3), np.round(u, 3), x[5], per.mean(), np.median(per))) + return dict(bone=bone, p0=p0.tolist(), u=u.tolist(), length=float(x[5])), per + + +def rodrigues(r): + a = np.linalg.norm(r) + if a < 1e-12: + return np.eye(3) + k = r / a; K = np.array([[0, -k[2], k[1]], [k[2], 0, -k[0]], [-k[1], k[0], 0]]) + return np.eye(3) + np.sin(a) * K + (1 - np.cos(a)) * K @ K + + +def perpose_fit(Vs_, line, extents, bone, ridge=(0.02, 0.2), ns=24, verbose=True): + """per pose (action, frame; the 5 directions share it): turn r (rotation vector, rad) and shift t (m) in the bone frame, applied to the sticks of + the class line (p0, u) about its point nearest to the bone origin, minimising the chamfer over the views of that pose of all weapons in Vs_ (each with its + own extent (s0, s1) along the line). A stick leaves 2 of 6 degrees free (turn about its axis, shift along it): the ridge keeps them at 0. + Returns {(a, i): (r, t)} and the per-view chamfer of every weapon.""" + p0 = np.array(line["p0"]); u = np.array(line["u"]); piv = p0 - u * (p0 @ u) + Ms = [V.bone_world(bone) for V in Vs_] + ends = [np.array([piv + u * e[0], piv + u * e[1]]) for e in extents] + poses = sorted({(int(a), int(i)) for V in Vs_ for a, _, i in V.key}) + out, per = {}, [np.zeros(V.n) for V in Vs_] + for (a, i) in poses: + parts = [] + for w, V in enumerate(Vs_): + sel = np.nonzero((V.key[:, 0] == a) & (V.key[:, 2] == i))[0] + if len(sel): + parts.append((w, sel, _sub(V, sel), Ms[w][sel])) + def res(x): + R = rodrigues(x[:3]); out_ = [] + for w, sel, Vs, Mb in parts: + E = (ends[w] - piv) @ R.T + piv + x[3:] + pr = Vs.project(Mb, E); A, B = pr[:, 0], pr[:, 1] + t = np.linspace(0, 1, ns + 1)[None, :, None]; S = A[:, None] + (B - A)[:, None] * t + d1 = np.stack([ndimage.map_coordinates(Vs.DT[k], [S[k, :, 1] - 0.5, S[k, :, 0] - 0.5], order=1, mode="nearest") for k in range(Vs.n)]) + e = (B - A)[:, None]; ll = (e ** 2).sum(-1) + 1e-9 + tt = np.clip((((Vs.pts - A[:, None]) * e).sum(-1)) / ll, 0, 1) + d2 = np.sqrt(((A[:, None] + e * tt[..., None] - Vs.pts) ** 2).sum(-1)) * (np.arange(Vs.pts.shape[1])[None] < Vs.npts[:, None]) + out_ += [(d1 / np.sqrt(ns + 1)).ravel(), (d2 / np.sqrt(np.maximum(Vs.npts, 1))[:, None]).ravel()] + return np.concatenate(out_ + [x[:3] / ridge[0] * 0.1, x[3:] / ridge[1] * 0.1]) + r = optimize.least_squares(res, np.zeros(6), loss="soft_l1", f_scale=3.0, x_scale=np.array([0.2] * 3 + [0.05] * 3)) + R = rodrigues(r.x[:3]) + for w, sel, Vs, Mb in parts: + E = (ends[w] - piv) @ R.T + piv + r.x[3:] + pr = Vs.project(Mb, E); per[w][sel] = chamfer(Vs, pr[:, 0], pr[:, 1]) + out[(a, i)] = (r.x[:3].tolist(), r.x[3:].tolist()) + if verbose: + print("per-pose fit in %s: chamfer mean %s px" % (bone, ", ".join("%.2f" % p.mean() for p in per))) + return out, per + + +def apply_class(V, bone, line, poses, fit_extent=True): + """stick of a class line (p0, u) moved by the per-pose corrections; only the two ends along the line are fitted for this weapon. + Returns the per-view chamfer and the extent (s0, s1) in m from the point of the line nearest to the bone origin.""" + M = V.bone_world(bone); p0 = np.array(line["p0"]); u = np.array(line["u"]); piv = np.array(line["piv"]) if "piv" in line else p0 - u * (p0 @ u) + Rt = [] + for a, i, _ in [(k[0], k[2], 0) for k in V.key]: + r, t = poses.get((int(a), int(i)), ([0, 0, 0], [0, 0, 0])); Rt.append((rodrigues(np.array(r)), np.array(t))) + def ends(s0, s1): + E = np.array([piv + u * s0, piv + u * s1]) + return np.array([(E - piv) @ R.T + piv + t for R, t in Rt]) # (n, 2, 3) + def pr(s0, s1): + E = ends(s0, s1) + Pw = np.einsum("nij,nkj->nki", M[:, :3, :3], E) + M[:, None, :3, 3] + Pw1 = np.concatenate([Pw, np.ones(Pw.shape[:-1] + (1,))], -1) + return np.einsum("nij,nkj->nki", V.PX[:, :2], Pw1) + f = lambda s: (lambda p: chamfer(V, p[:, 0], p[:, 1]).mean())(pr(*s)) + best = (1e9, None) + for s0 in np.linspace(-1.5, 0.5, 9): + for s1 in np.linspace(s0 + 0.3, s0 + 3.0, 10): + v = f((s0, s1)) + if v < best[0]: best = (v, (s0, s1)) + r = optimize.minimize(f, best[1], method="Powell", options=dict(xtol=1e-3, ftol=1e-5)) + p = pr(*r.x) + return chamfer(V, p[:, 0], p[:, 1]), r.x + + +def _sub(V, sel): + class S: pass + s = S(); s.n = len(sel); s.W, s.H = V.W, V.H + for k in ("key", "PX", "BW", "masks", "DT", "pts", "npts"): setattr(s, k, getattr(V, k)[sel]) + s.project = lambda Mb, P, s=s: Views.project(s, Mb, P) + return s + + +if __name__ == "__main__": + if sys.argv[1] == "class": # class WP.npz VDDIR BONE OUT.json ANIM [ANIM ...] [--line LINE.json] + wp, vd, bone, out = sys.argv[2:6]; anims = [a for a in sys.argv[6:] if a.isdigit()] + Vs = [Views(wp, os.path.join(vd, "anim_%04d.vd" % int(a))) for a in anims] + if "--line" in sys.argv: + rig = json.load(open(sys.argv[sys.argv.index("--line") + 1]))["rigid"] + else: + rig, _ = rigid_fit(Vs[0], bone, 1.6) + poses = {} + for it in range(3): + ex = [apply_class(V, bone, rig, poses)[1] for V in Vs] + print("iteration", it, "extents", [tuple(np.round(e, 2)) for e in ex]) + poses, per = perpose_fit(Vs, rig, ex, bone) + ex = [apply_class(V, bone, rig, poses)[1] for V in Vs] + res = {a: float(apply_class(V, bone, rig, poses)[0].mean()) for a, V in zip(anims, Vs)} + print("final chamfer per weapon:", {a: round(v, 2) for a, v in res.items()}) + json.dump(dict(anims=[int(a) for a in anims], bone=bone, rigid=rig, extents={a: [float(x) for x in e] for a, e in zip(anims, ex)}, chamfer=res, + poses={"%d,%d" % k: v for k, v in poses.items()}), open(out, "w")) + sys.exit() + if sys.argv[1] == "xline": # xline WP.npz VDDIR POLEARM.json BONE ANIM_WITH_OWN_LINE...: own rigid line, polearm motion + wp, vd, cls, bone = sys.argv[2:6]; C = json.load(open(cls)); poses = {tuple(int(x) for x in k.split(",")): v for k, v in C["poses"].items()} + p0 = np.array(C["rigid"]["p0"]); u = np.array(C["rigid"]["u"]); piv = (p0 - u * (p0 @ u)).tolist() + for anim in sys.argv[6:]: + V = Views(wp, os.path.join(vd, "anim_%04d.vd" % int(anim))) + rig, per_r = rigid_fit(V, bone, 1.0, verbose=False); rig["piv"] = piv + per, x = apply_class(V, bone, rig, poses) + print("anim %s: own rigid line %.2f px; own line + polearm motion %.2f px (median %.2f)" % (anim, per_r.mean(), per.mean(), np.median(per))) + sys.exit() + if sys.argv[1] == "cross": # cross WP.npz VDDIR CLASS.json BONE ANIM... + wp, vd, cls, bone = sys.argv[2:6]; C = json.load(open(cls)); poses = {tuple(int(x) for x in k.split(",")): v for k, v in C["poses"].items()} + for anim in sys.argv[6:]: + V = Views(wp, os.path.join(vd, "anim_%04d.vd" % int(anim))) + per0, x0 = apply_class(V, bone, C["rigid"], {}) + per, x = apply_class(V, bone, C["rigid"], poses) + print("anim %s: class line, rigid %.2f px -> with the per-pose motion %.2f px (median %.2f), extent %.2f..%.2f m" % (anim, per0.mean(), per.mean(), np.median(per), x[0], x[1])) + sys.exit() + cmd, wp, vd, anim, bone = sys.argv[1:6] + V = Views(wp, os.path.join(vd, "anim_%04d.vd" % int(anim))) + print("views", V.n) + L0 = float(sys.argv[sys.argv.index("--len") + 1]) if "--len" in sys.argv else 1.0 + if cmd == "rigid": + rig, per = rigid_fit(V, bone, L0) + if "--out" in sys.argv: + json.dump(dict(anim=int(anim), rigid=rig, chamfer=float(per.mean())), open(sys.argv[sys.argv.index("--out") + 1], "w")) + elif cmd == "perpose": + rig, per0 = rigid_fit(V, bone, L0) + _, x = apply_class(V, bone, rig, {}) + fit, per = perpose_fit([V], rig, [x], bone) + if "--out" in sys.argv: + json.dump(dict(anim=int(anim), rigid=rig, poses={"%d,%d" % k: v for k, v in fit.items()}), open(sys.argv[sys.argv.index("--out") + 1], "w")) diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_motion.json b/third_party/UO_Model3D_v13/pipeline/weapon_motion.json new file mode 100644 index 0000000..d6c6235 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_motion.json @@ -0,0 +1 @@ +{"polearm.L": {"parent": "hand.L", "pivot": [0.0282, 0.035, 0.0101], "dir": [-0.281, -0.0498, 0.9584], "anims": {"648": [-1.03, 0.914], "614": [-1.014, 0.944], "641": [-1.036, 1.247], "624": [-1.028, 1.067], "617": [-1.042, 1.356], "628": [-1.044, 1.244]}, "chamfer": {"648": 0.6, "614": 1.07, "641": 0.69, "624": 0.95, "617": 0.68, "628": 0.67}, "poses": {"0,0": [-0.0806, -0.2075, 0.0295, -0.1915, -0.0157, 0.3574], "0,1": [-0.309, 0.0082, -0.05, -0.0795, 0.0706, 0.3081], "0,2": [-0.2044, 0.0052, -0.0026, -0.0909, 0.0591, 0.3158], "0,3": [0.0786, -0.1114, 0.0084, -0.1271, -0.0487, 0.2975], "0,4": [-0.2447, -0.0797, 0.0263, -0.0905, 0.0495, 0.2805], "0,5": [-0.3235, -0.0463, -0.0667, -0.0822, 0.0637, 0.281], "0,6": [-0.1497, -0.0313, -0.0337, -0.068, 0.0094, 0.2734], "0,7": [-0.183, -0.033, -0.0754, -0.0567, -0.0039, 0.2451], "0,8": [-0.1658, -0.0596, -0.0602, -0.0521, -0.0083, 0.2185], "0,9": [-0.3071, -0.1198, -0.0494, -0.0923, 0.0138, 0.2308], "1,0": [0.0388, -0.2486, -0.0034, -0.0001, 0.0008, 0.0145], "1,1": [0.1353, -0.031, 0.0325, -0.0231, -0.0254, 0.0146], "1,2": [0.1226, 0.1248, 0.0402, 0.0034, 0.0022, 0.0019], "1,3": [0.2205, 0.1762, 0.0823, -0.0061, 0.0035, 0.0095], "1,4": [0.4384, 0.2879, 0.1348, 0.0031, 0.0002, 0.0175], "1,5": [0.2664, 0.3158, 0.0773, -0.0005, -0.0274, 0.01], "1,6": [0.2386, 0.2658, 0.0687, -0.0014, 0.0157, 0.0136], "1,7": [0.3446, 0.0865, 0.098, -0.0079, -0.0046, 0.0123], "1,8": [0.1357, 0.027, 0.0234, 0.0067, 0.0116, -0.0075], "1,9": [0.2853, -0.12, 0.0699, -0.0218, 0.0054, 0.0279], "2,0": [0.2659, -0.3606, 0.0107, 0.0143, -0.014, 0.0019], "2,1": [0.2579, 0.2545, 0.0813, 0.0164, -0.0011, -0.0098], "2,2": [-0.1266, 0.3385, -0.019, 0.0117, -0.0029, 0.0062], "2,3": [-0.003, 0.3736, 0.0513, 0.0031, -0.0048, 0.0172], "2,4": [0.0767, 0.0714, -0.0287, -0.0002, 0.028, 0.0025], "2,5": [0.1435, 0.1238, 0.0412, 0.0197, 0.0322, -0.0043], "2,6": [0.2884, 0.1974, 0.0247, -0.0195, 0.0081, 0.0268], "2,7": [0.187, 0.1387, 0.0516, 0.0138, 0.015, -0.0002], "2,8": [-0.083, 0.1804, -0.0264, 0.0181, 0.0021, 0.0052], "2,9": [-0.1132, 0.0967, -0.0256, 0.015, -0.0094, -0.0002], "3,0": [0.252, 0.1651, 0.0866, -0.0135, -0.0222, -0.0003], "3,1": [-0.0742, 0.4574, 0.0053, 0.0048, -0.0181, 0.0125], "3,2": [0.2196, 0.0866, 0.0634, 0.0013, -0.0047, -0.0017], "3,3": [0.3835, 0.0308, 0.1066, -0.0057, -0.0201, 0.0168], "3,4": [-0.0301, 0.1489, 0.0203, -0.0013, 0.0031, 0.0184], "3,5": [0.2325, -0.0013, 0.0781, 0.0023, -0.0202, 0.0127], "3,6": [0.234, 0.0347, 0.0636, -0.004, -0.0479, 0.0074], "3,7": [-0.1641, 0.2026, -0.0564, 0.0141, -0.008, 0.0141], "3,8": [-0.013, 0.2793, 0.0096, 0.0034, 0.0034, 0.0075], "3,9": [0.4464, 0.2102, 0.1472, -0.0175, -0.019, 0.0301], "4,0": [0.0412, 0.2653, 0.0061, 0.0109, -0.0152, 0.0582], "5,0": [0.699, 0.5167, 0.2085, 0.0028, -0.0482, 0.0334], "5,1": [0.1675, 0.6522, 0.0672, 0.0311, -0.0391, 0.0643], "5,2": [0.3093, 0.7122, 0.091, 0.0345, -0.0036, 0.0217], "5,3": [0.4571, 0.8052, 0.1168, 0.0322, -0.0405, 0.0398], "5,4": [0.1524, 0.5732, 0.0446, 0.016, -0.0007, 0.0591], "6,0": [-0.1379, 0.1291, -0.0324, -0.0024, -0.01, 0.0607], "6,1": [0.023, -0.1263, 0.0079, -0.0109, 0.0063, 0.0473], "6,2": [0.1303, 0.1165, 0.0303, -0.0012, -0.0169, 0.0494], "6,3": [-0.092, -0.0905, -0.0323, -0.0075, 0.0142, 0.0454], "6,4": [0.1154, 0.356, 0.0671, 0.0106, 0.0005, 0.0367], "7,0": [-0.1039, -0.4898, -0.0233, -0.0413, -0.0802, 0.0422], "8,0": [-0.865, -0.1216, -0.1606, -0.2349, 0.522, 0.4173], "9,0": [-0.1053, -0.0721, -0.1868, 0.0024, 0.0294, -0.014], "9,1": [-0.2721, -0.4504, 0.1566, 0.0182, 0.046, 0.0003], "9,2": [0.0211, -0.3605, -0.0983, -0.0656, 0.0097, 0.0778], "9,3": [-0.0806, -0.409, -0.0464, 0.0393, 0.0316, -0.05], "9,4": [-0.0007, -0.5508, -0.0202, 0.0381, 0.0223, -0.0194], "9,5": [-0.2646, -0.5424, -0.225, 0.0311, 0.0618, -0.0148], "9,6": [-0.448, -0.3305, -0.1911, 0.034, 0.0386, -0.0449], "10,0": [0.4004, -0.2212, -0.0102, -0.0016, -0.0026, -0.0018], "10,1": [0.0708, -0.4756, -0.0173, 0.0076, 0.0283, 0.0094], "10,2": [0.4271, -0.2127, 0.0232, -0.0022, 0.0152, -0.0051], "10,3": [0.0229, -0.6894, 0.0966, 0.0039, 0.028, -0.0006], "10,4": [0.3749, -0.2073, 0.0859, 0.0252, 0.0182, -0.0435], "10,5": [-0.16, -0.5129, -0.07, 0.0584, 0.0111, -0.0544], "10,6": [0.1626, -0.2336, 0.166, 0.0343, 0.0312, -0.0249], "11,0": [0.1223, 0.3471, -0.1089, -0.0075, 0.0129, -0.0318], "11,1": [-0.0578, -0.5689, -0.0561, 0.0615, 0.0132, -0.05], "11,2": [0.1023, -0.5839, 0.0109, 0.0435, 0.0225, -0.0496], "11,3": [0.2679, -0.636, 0.0727, 0.043, 0.0141, -0.0295], "11,4": [-0.2851, -0.6222, -0.1181, 0.0461, -0.0017, -0.0231], "11,5": [-0.0668, -0.5097, -0.0349, 0.0342, 0.0537, -0.0382], "11,6": [0.2916, -0.6452, 0.0556, 0.0287, 0.0499, -0.0203], "12,0": [-0.3982, 0.1062, -0.084, -0.1183, 0.2907, 0.7028], "12,1": [0.0563, 0.0876, 0.0519, -0.1207, -0.0625, 0.707], "12,2": [-0.0493, 0.1294, 0.0382, -0.0986, 0.029, 0.7054], "12,3": [-0.0262, -0.0752, 0.1496, -0.2903, -0.0657, 0.7753], "12,4": [-0.252, -0.4083, -0.0219, -0.431, 0.1065, 0.5227], "12,5": [-0.1034, -0.2067, 0.0089, -0.3419, -0.0116, 0.6363], "12,6": [-0.0719, 0.1195, -0.167, -0.1264, 0.0812, 0.7828], "13,0": [-0.7251, -0.046, -0.0205, -0.2597, 0.5277, 0.5734], "13,1": [-0.6898, 0.025, -0.0897, -0.1611, 0.4827, 0.5601], "13,2": [-0.6612, 0.382, -0.1771, 0.1276, 0.5478, 0.6463], "13,3": [-1.034, -0.3557, -0.0487, -0.3631, 0.5927, 0.2886], "13,4": [-1.0196, -0.1667, -0.1127, -0.2672, 0.5913, 0.34], "13,5": [-0.6138, 0.0406, -0.1255, -0.135, 0.3983, 0.5974], "13,6": [-0.447, 0.3942, -0.0777, 0.0959, 0.3016, 0.6703], "14,0": [0.583, -0.0196, 0.1681, -0.0777, -0.1073, 0.0857], "14,1": [-0.0886, 0.5131, 0.0003, 0.0239, 0.013, 0.0514], "14,2": [0.0517, -1.0539, 0.0974, -0.0881, 0.0249, 0.0321], "14,3": [0.2319, -0.8873, 0.0415, -0.0888, 0.0112, 0.0628], "14,4": [-1.0314, -0.0951, -0.0926, 0.0215, 0.2104, 0.0663], "14,5": [-0.4623, 0.8112, 0.0101, 0.0613, 0.0896, 0.0823], "14,6": [0.4077, -0.3084, 0.0861, -0.0359, -0.3283, -0.0319], "15,0": [-0.5663, -0.2102, -0.2038, -0.2693, 0.3421, 0.4921], "15,1": [-0.8399, -0.0491, -0.0695, -0.1854, 0.4411, 0.4311], "15,2": [-0.9761, -0.1591, -0.0323, -0.2421, 0.4828, 0.3198], "15,3": [-0.8174, -0.1375, -0.0379, -0.2444, 0.4274, 0.4259], "15,4": [-0.9429, -0.1318, -0.2078, -0.1917, 0.5289, 0.3459], "15,5": [-0.8716, -0.1868, -0.1326, -0.2444, 0.4842, 0.3699], "15,6": [-0.7972, -0.1308, -0.0869, -0.2275, 0.4345, 0.4234], "15,7": [-0.5101, -0.066, -0.113, -0.2049, 0.2905, 0.5396], "15,8": [-0.5067, 0.0126, -0.0892, -0.1568, 0.3079, 0.5729], "15,9": [-0.6581, -0.0924, 0.022, -0.2291, 0.3396, 0.4919], "16,0": [-0.5005, 0.0606, -0.1264, -0.0016, 0.0652, 0.0379], "16,1": [-0.4587, 0.4274, -0.0902, 0.009, 0.0556, 0.0552], "16,2": [-0.9923, 0.7627, -0.2037, -0.0006, 0.0053, -0.0054], "16,3": [-1.3401, 0.1172, -0.2358, 0.0081, -0.0532, -0.0301], "16,4": [-0.8911, 0.2875, -0.1922, -0.0227, 0.0034, -0.0099], "16,5": [-1.4574, 0.1763, -0.3011, 0.018, -0.0434, -0.0241], "16,6": [-0.7108, -0.2238, -0.1302, -0.0364, 0.0318, 0.0305], "17,0": [-1.6365, -0.0152, -0.1622, -0.2538, -0.2068, -0.0863], "17,1": [-0.7622, -0.6522, -0.1626, -0.2367, -0.2929, 0.1511], "17,2": [-0.9911, -0.2232, -0.1214, -0.2766, -0.2409, 0.2675], "17,3": [-0.9127, 0.2301, -0.1911, -0.1949, -0.1778, 0.3393], "17,4": [-0.7554, 0.3411, -0.1637, -0.2251, -0.2091, 0.3207], "17,5": [-0.4213, 0.2691, -0.1376, 0.0154, 0.057, 0.0495], "17,6": [-0.4904, 0.1303, -0.0872, 0.0159, 0.0691, 0.0451], "18,0": [-0.076, -0.0854, 0.0149, 0.0009, 0.0258, 0.0526], "18,1": [0.0707, 0.2621, -0.0827, 0.0126, 0.0303, 0.0437], "18,2": [0.4762, 0.1695, 0.0379, 0.0009, 0.0028, 0.0913], "18,3": [-0.0742, -0.7785, -0.0593, -0.0766, 0.1063, 0.0457], "18,4": [-0.1159, -0.7315, -0.0837, -0.0619, 0.0988, 0.0426], "18,5": [-0.0591, -0.738, -0.0711, -0.0587, 0.0871, 0.0577], "18,6": [-0.1656, 0.4014, -0.0159, -0.0002, 0.0348, 0.0477], "19,0": [0.1373, -0.9362, 0.0888, -0.0357, 0.0247, 0.0178], "19,1": [-0.5864, 0.403, -0.1337, -0.0459, -0.0924, -0.1228], "19,2": [-0.6453, 0.318, -0.1534, -0.0393, -0.0836, -0.1179], "19,3": [-0.8149, 0.6332, -0.1033, -0.0734, -0.0926, -0.0907], "19,4": [-0.494, 0.2415, -0.0645, -0.0348, -0.0797, -0.1381], "19,5": [0.4192, -1.1279, 0.1559, -0.0943, -0.002, 0.0252], "19,6": [0.2745, -0.8847, 0.1493, -0.2955, -0.0625, 0.1032], "20,0": [-0.1405, -0.1342, -0.0472, -0.0532, -0.0027, 0.0635], "20,1": [0.1582, -0.3712, -0.0009, -0.0701, -0.0173, 0.059], "20,2": [0.2374, -0.1946, 0.0689, -0.0479, -0.0288, 0.0633], "20,3": [-0.0281, -0.1323, 0.0136, -0.0318, 0.0388, 0.0589], "20,4": [-0.0547, 0.4048, -0.0032, -0.0001, 0.0049, 0.0792], "21,0": [0.0744, 0.3161, 0.0517, -0.0142, 0.0005, 0.0937], "21,1": [0.0864, 0.4845, 0.03, -0.016, 0.0273, 0.0903], "21,2": [0.0532, 0.2058, 0.0347, -0.0187, 0.0434, 0.0668], "21,3": [0.1619, 0.0885, 0.0208, -0.0199, 0.0025, 0.0312], "21,4": [0.5926, -0.1181, 0.1052, -0.0805, -0.006, 0.1927], "21,5": [0.3564, 0.1888, 0.1048, 0.0075, 0.0469, 0.1519], "22,0": [0.5048, 0.13, 0.1419, -0.0114, -0.0597, 0.1059], "22,1": [-0.1115, 0.5017, -0.0044, 0.0439, 0.092, 0.1077], "22,2": [0.0387, 1.4302, 0.0697, 0.1028, 0.0336, 0.0249], "22,3": [0.2564, 0.2891, 0.1572, -0.0254, 0.1775, -0.191], "22,4": [0.184, -0.0725, 0.1621, 0.0781, 0.1634, -0.1812], "22,5": [0.3675, 0.4776, -0.0809, -0.0799, 0.1275, -0.1906], "23,0": [-0.1452, -0.1497, -0.0198, -0.2178, -0.2716, 0.1204], "23,1": [-0.117, -0.3759, -0.0484, -0.1955, -0.2339, 0.0524], "23,2": [-0.0027, -0.4747, -0.0178, -0.2084, -0.2371, 0.0392], "23,3": [-0.0757, -0.3363, -0.0315, -0.2151, -0.2061, 0.0638], "23,4": [-0.0197, -0.5166, -0.0216, -0.1953, -0.2936, 0.0492], "24,0": [-0.301, -0.2634, -0.1237, -0.3217, -0.1917, 0.092], "24,1": [-0.1149, -0.4491, -0.0355, -0.2882, -0.1774, 0.0527], "24,2": [-0.4383, -0.4378, -0.1311, -0.2934, -0.134, 0.0758], "24,3": [-0.232, -0.389, -0.0852, -0.2963, -0.1871, 0.0198], "24,4": [-0.2945, -0.542, -0.1395, -0.3035, -0.2157, 0.0178], "25,0": [-0.1499, -0.4563, -0.0741, -0.2623, -0.2891, 0.0812], "26,0": [-0.5844, 0.1847, -0.1082, -0.0338, 0.0886, 0.1325], "26,1": [-0.4909, 0.0725, -0.1181, -0.0349, 0.0755, 0.112], "26,2": [-0.1518, -0.2403, -0.0473, -0.0613, 0.0077, 0.1135], "26,3": [-0.3448, 0.3024, -0.0807, 0.0101, 0.0948, 0.106], "26,4": [-0.3378, 0.2348, -0.0801, -0.0091, 0.1233, 0.1085], "27,0": [-0.3656, -0.0521, -0.0999, -0.0551, 0.0631, 0.1042], "27,1": [-0.4456, -0.5976, -0.1727, -0.0879, 0.0677, 0.0745], "27,2": [-0.7046, -0.4785, -0.1805, -0.0982, 0.1022, 0.0251], "27,3": [-0.4925, -0.4078, -0.1567, -0.075, 0.1013, 0.072], "27,4": [-0.1909, -0.8172, -0.1182, -0.1405, 0.0419, 0.0667], "28,0": [0.5285, 1.1456, -0.0677, -0.3226, 0.0648, -0.1995], "28,1": [0.7202, 0.2094, 0.1319, -0.0499, 0.1652, -0.1632], "28,2": [0.9032, 0.2057, 0.2588, -0.0324, 0.1806, -0.1263], "28,3": [0.6304, 0.1517, 0.203, -0.0281, 0.1605, -0.1709], "28,4": [0.2924, 0.0599, -0.0126, 0.034, 0.0925, -0.2006], "28,5": [-1.5289, -0.2627, -0.0204, -0.1905, 0.1435, -0.016], "28,6": [-0.3394, -0.4923, -0.0971, -0.1247, 0.0762, 0.1597], "29,0": [1.1161, 0.5161, 0.2847, 0.0432, -0.6748, -0.0838], "29,1": [0.9288, 0.9003, 0.2323, 0.0937, -0.7864, 0.1369], "29,2": [0.2329, -0.7776, 0.0721, -0.75, -0.5584, 0.2226], "29,3": [-0.7431, -0.4432, -0.0498, -0.5099, 0.2131, 0.3283], "29,4": [-0.5886, 0.0404, -0.0544, -0.2099, 0.154, 0.4856], "30,0": [0.151, -0.1758, 0.0232, -0.1141, -0.0423, 0.0439], "30,1": [-0.0926, 0.2047, 0.0334, -0.0412, 0.0032, 0.124], "30,2": [-0.5494, -0.2008, -0.1451, -0.042, -0.0131, 0.0842], "30,3": [0.2874, 0.9277, 0.0223, 0.0322, -0.1446, -0.2099], "30,4": [0.9761, -0.6498, 0.0947, 0.0661, -0.3438, -0.0049], "31,0": [0.4176, -0.3306, -0.0504, -0.1475, -0.0637, 0.1421], "31,1": [-0.0319, -0.3737, -0.0222, -0.0431, 0.0068, 0.0432], "31,2": [0.1914, -0.0365, 0.0441, -0.0172, -0.0273, 0.0422], "31,3": [0.1872, 0.2663, 0.0949, -0.0086, 0.0183, 0.0154], "31,4": [-0.0005, -0.4741, 0.0474, -0.0024, 0.0217, 0.0081], "31,5": [0.0128, -0.3936, -0.1412, -0.0693, 0.0368, 0.0446], "31,6": [-0.6569, 0.3499, 0.0395, 0.015, 0.1475, 0.0022], "32,0": [0.0116, -0.122, 0.0618, -0.0446, -0.0239, 0.1241], "32,1": [0.2158, 0.109, 0.0099, -0.0316, -0.0643, 0.2585], "32,2": [0.6616, -0.3668, 0.0994, -0.2198, -0.2985, 0.2715], "32,3": [1.0527, -0.3488, 0.1074, -0.27, -0.4822, 0.1896], "32,4": [0.4979, 0.0727, 0.1233, -0.012, -0.122, 0.2045], "33,0": [0.0703, 0.5949, 0.0536, 0.0445, -0.0072, 0.0033], "33,1": [0.4537, 0.4886, 0.1134, 0.0505, -0.0319, 0.0085], "33,2": [-0.0275, 0.2623, 0.0034, 0.0458, -0.0055, 0.0141], "33,3": [0.2577, 0.2998, 0.0758, 0.0299, -0.0053, 0.0182], "33,4": [0.2849, 0.2249, 0.1066, 0.0317, -0.0109, 0.0323], "34,0": [0.0205, 0.1784, 0.0077, 0.0229, 0.0192, 0.0143], "34,1": [0.1511, -0.0027, 0.0408, 0.0198, 0.0004, 0.021], "34,2": [0.3717, 0.1671, 0.1112, 0.0423, -0.0408, 0.0335], "34,3": [0.205, 0.1063, 0.0245, 0.0219, -0.0278, 0.0359], "34,4": [0.5064, -0.0063, 0.0985, 0.0011, -0.0218, 0.046]}, "butt": -1.03, "roll": {"e1": [0.95971, -0.01458, 0.28063], "ref": 614, "phi": {"0,0": 2.1991, "0,1": 2.1991, "0,2": 2.1991, "0,3": 2.4086, "0,4": 2.618, "0,5": 2.7227, "0,6": 2.618, "0,7": 2.3038, "0,8": 2.0944, "0,9": 2.0944, "1,0": 2.7227, "1,1": 2.7227, "1,2": 2.7227, "1,3": 2.7227, "1,4": 2.8274, "1,5": 2.8274, "1,6": 2.8274, "1,7": 2.8274, "1,8": 2.7227, "1,9": 2.7227, "2,0": 2.7227, "2,1": 2.8274, "2,2": 2.8274, "2,3": 2.618, "2,4": 2.7227, "2,5": 2.7227, "2,6": 2.8274, "2,7": 2.7227, "2,8": 2.7227, "2,9": 2.8274, "3,0": 2.8274, "3,1": 2.8274, "3,2": 2.8274, "3,3": 2.8274, "3,4": 2.8274, "3,5": 2.8274, "3,6": 2.8274, "3,7": 2.8274, "3,8": 2.8274, "3,9": 2.9322, "4,0": 2.9322, "5,0": 2.8274, "5,1": 2.9322, "5,2": 2.8274, "5,3": 2.618, "5,4": 2.5133, "6,0": 3.1416, "6,1": 3.0369, "6,2": 3.1416, "6,3": 3.1416, "6,4": 3.0369, "7,0": 2.9322, "8,0": 2.5133, "9,0": 2.5133, "9,1": 2.4086, "9,2": 2.5133, "9,3": 2.5133, "9,4": 2.4086, "9,5": 2.3038, "9,6": 2.1991, "10,0": 2.8274, "10,1": 2.618, "10,2": 2.5133, "10,3": 2.5133, "10,4": 2.5133, "10,5": 2.618, "10,6": 2.7227, "11,0": 2.8274, "11,1": 2.8274, "11,2": 2.8274, "11,3": 2.7227, "11,4": 2.618, "11,5": 2.4086, "11,6": 2.4086, "12,0": 2.7227, "12,1": 2.618, "12,2": 2.618, "12,3": 2.5133, "12,4": 2.5133, "12,5": 2.5133, "12,6": 2.618, "13,0": 2.1991, "13,1": 2.1991, "13,2": 2.1991, "13,3": 2.4086, "13,4": 2.7227, "13,5": 2.5133, "13,6": 2.4086, "14,0": 2.618, "14,1": 2.4086, "14,2": 2.0944, "14,3": 1.9897, "14,4": 1.3614, "14,5": 1.3614, "14,6": 1.0472, "15,0": 2.4086, "15,1": 2.3038, "15,2": 2.3038, "15,3": 2.3038, "15,4": 2.3038, "15,5": 2.1991, "15,6": 2.1991, "15,7": 2.1991, "15,8": 2.3038, "15,9": 2.3038, "16,0": 2.3038, "16,1": 2.1991, "16,2": 2.0944, "16,3": 2.1991, "16,4": 2.4086, "16,5": 2.5133, "16,6": 2.618, "17,0": 2.3038, "17,1": 1.9897, "17,2": 1.7802, "17,3": 1.6755, "17,4": 1.4661, "17,5": 1.4661, "17,6": 1.4661, "18,0": 2.8274, "18,1": 2.8274, "18,2": 2.5133, "18,3": 2.4086, "18,4": 2.3038, "18,5": 2.3038, "18,6": 2.3038, "19,0": 5.0265, "19,1": 4.6077, "19,2": 4.5029, "19,3": 4.2935, "19,4": 3.8746, "19,5": 3.2463, "19,6": 2.9322, "20,0": 2.7227, "20,1": 2.7227, "20,2": 2.8274, "20,3": 2.8274, "20,4": 2.7227, "21,0": 2.618, "21,1": 2.4086, "21,2": 2.3038, "21,3": 2.3038, "21,4": 1.9897, "21,5": 1.7802, "22,0": 2.618, "22,1": 2.618, "22,2": 2.7227, "22,3": 2.9322, "22,4": 3.1416, "22,5": 3.4558, "23,0": 2.7227, "23,1": 2.7227, "23,2": 2.7227, "23,3": 2.7227, "23,4": 2.7227, "24,0": 2.618, "24,1": 2.618, "24,2": 2.618, "24,3": 2.618, "24,4": 2.618, "25,0": 2.8274, "26,0": 1.9897, "26,1": 2.0944, "26,2": 2.1991, "26,3": 2.1991, "26,4": 2.0944, "27,0": 2.618, "27,1": 2.7227, "27,2": 2.7227, "27,3": 2.618, "27,4": 2.618, "28,0": 0.9425, "28,1": 0.4189, "28,2": 0.1047, "28,3": 0.0, "28,4": 0.1047, "28,5": 0.1047, "28,6": 0.4189, "29,0": 4.2935, "29,1": 3.9794, "29,2": 3.4558, "29,3": 2.9322, "29,4": 2.8274, "30,0": 2.7227, "30,1": 2.9322, "30,2": 3.2463, "30,3": 3.6652, "30,4": 4.0841, "31,0": 3.1416, "31,1": 2.8274, "31,2": 2.618, "31,3": 2.4086, "31,4": 2.3038, "31,5": 1.885, "31,6": 1.6755, "32,0": 2.3038, "32,1": 2.1991, "32,2": 1.9897, "32,3": 2.1991, "32,4": 2.3038, "33,0": 2.7227, "33,1": 2.618, "33,2": 2.618, "33,3": 2.5133, "33,4": 2.5133, "34,0": 2.5133, "34,1": 2.5133, "34,2": 2.8274, "34,3": 2.7227, "34,4": 2.618}, "offsets": {"614": 0.0228, "617": 3.1057, "621": 3.1531, "624": 6.2827, "628": 3.3001, "636": 3.3285, "641": 2.9785, "648": 3.1207}}}, "axe2h.L": {"parent": "hand.L", "pivot": [0.0181, 0.0391, 0.003], "dir": [-0.3512, 0.0901, 0.9319], "anims": {"611": [-0.45, 0.585], "612": [-0.509, 0.552], "613": [-0.516, 0.749], "634": [-0.484, 0.576], "653": [-0.596, 0.453]}, "chamfer": {"611": 1.67, "612": 1.36, "613": 1.17, "634": 1.57, "653": 1.29}, "poses": {"0,0": [-0.053, -0.1293, 0.0088, 0.0475, -0.0601, -0.0596], "0,1": [-0.2733, 0.0369, -0.1471, 0.0691, -0.0803, -0.1323], "0,2": [-0.1795, 0.0217, -0.0592, 0.0566, -0.0363, -0.1012], "0,3": [0.2622, -0.0206, 0.0795, 0.0544, 0.0053, -0.1093], "0,4": [-0.0682, -0.0081, -0.0367, 0.0678, -0.0318, -0.1194], "0,5": [-0.156, 0.0297, -0.0806, 0.0579, -0.0622, -0.1165], "0,6": [-0.012, 0.0591, 0.0438, 0.0709, -0.0409, -0.1206], "0,7": [0.023, 0.0383, -0.0609, 0.0677, -0.0644, -0.1044], "0,8": [0.07, 0.0654, -0.0445, 0.077, -0.0634, -0.1203], "0,9": [-0.3256, -0.064, -0.1356, 0.0587, -0.1075, -0.0567], "1,0": [0.1214, -0.1795, 0.0705, 0.0651, 0.0149, -0.0224], "1,1": [0.2158, 0.0449, 0.0532, 0.035, -0.0061, -0.0336], "1,2": [0.2304, 0.1924, 0.0422, 0.0481, 0.0178, -0.0325], "1,3": [0.3225, 0.2541, 0.0889, 0.0351, 0.0218, -0.0299], "1,4": [0.5265, 0.3538, 0.1533, 0.0378, 0.0328, -0.0212], "1,5": [0.3549, 0.3757, 0.1016, 0.0305, 0.0036, -0.0277], "1,6": [0.3333, 0.3305, 0.0637, 0.0357, 0.0411, -0.0355], "1,7": [0.4332, 0.1424, 0.1502, 0.0426, 0.0231, -0.0299], "1,8": [0.2243, 0.0943, 0.0759, 0.0533, 0.0232, -0.0271], "1,9": [0.3907, -0.0494, 0.1313, 0.0316, 0.0339, -0.0037], "2,0": [0.3157, -0.31, 0.1763, 0.0769, 0.0061, -0.0189], "2,1": [0.3925, 0.3184, 0.0789, 0.0506, 0.0255, -0.0432], "2,2": [-0.0059, 0.4108, -0.0277, 0.0426, 0.003, -0.0505], "2,3": [0.1082, 0.4341, -0.0031, 0.0284, 0.0004, -0.0317], "2,4": [0.1313, 0.1461, 0.0992, 0.0376, 0.0379, -0.035], "2,5": [0.2367, 0.2011, 0.0655, 0.0591, 0.0481, -0.0514], "2,6": [0.3796, 0.2516, 0.1112, 0.0164, 0.0354, -0.0134], "2,7": [0.3027, 0.2058, 0.0726, 0.0486, 0.0431, -0.0441], "2,8": [0.0598, 0.2449, -0.027, 0.0568, 0.0105, -0.0513], "2,9": [0.0413, 0.1606, 0.0043, 0.055, -0.0039, -0.0364], "3,0": [0.3512, 0.2216, 0.1273, 0.0228, 0.011, -0.0451], "3,1": [0.0548, 0.5138, -0.0255, 0.0258, -0.009, -0.045], "3,2": [0.3301, 0.1493, 0.091, 0.0464, 0.019, -0.0413], "3,3": [0.487, 0.0818, 0.1399, 0.0416, 0.0094, -0.0259], "3,4": [0.0947, 0.2077, 0.0166, 0.0397, 0.0088, -0.0278], "3,5": [0.3529, 0.0554, 0.1167, 0.0456, 0.0044, -0.0218], "3,6": [0.3576, 0.1067, 0.0902, 0.0452, -0.0167, -0.0367], "3,7": [-0.0358, 0.2532, -0.0967, 0.0491, -0.0077, -0.0484], "3,8": [0.1048, 0.3389, -0.0012, 0.041, 0.0121, -0.0399], "3,9": [0.5586, 0.2764, 0.151, 0.015, 0.0252, -0.0096], "4,0": [0.1555, 0.3289, 0.0324, 0.0441, -0.0001, -0.0352], "5,0": [0.7959, 0.6058, 0.1476, 0.006, 0.0246, -0.0277], "5,1": [0.267, 0.7023, 0.0462, 0.0172, -0.0026, -0.0351], "5,2": [0.4184, 0.7775, 0.0227, 0.0253, 0.0423, -0.0574], "5,3": [0.5573, 0.8897, 0.0558, 0.0112, 0.0215, -0.0377], "5,4": [0.2562, 0.6544, 0.0276, 0.0168, 0.0346, -0.0459], "6,0": [-0.0262, 0.1809, -0.0311, 0.0429, -0.0096, -0.0312], "6,1": [0.1041, -0.0605, 0.0574, 0.0609, 0.0321, -0.0365], "6,2": [0.2313, 0.1738, 0.0659, 0.0403, 0.0121, -0.0286], "6,3": [0.0055, -0.0354, 0.0138, 0.055, 0.0253, -0.0353], "6,4": [0.209, 0.4078, 0.0326, 0.0334, 0.0283, -0.0508], "7,0": [0.0175, -0.437, -0.0259, 0.054, -0.0816, -0.0104], "8,0": [-0.7905, 0.0432, -0.1682, -0.1207, 0.3105, 0.2338], "9,0": [-0.0542, 0.0849, -0.0497, -0.0184, 0.0274, 0.063], "9,1": [-0.0338, -0.2205, -0.0104, -0.077, 0.0501, 0.1032], "9,2": [0.0701, -0.1961, 0.06, -0.0456, 0.0071, 0.076], "9,3": [0.0339, -0.2582, -0.0319, -0.0371, 0.0218, 0.0539], "9,4": [0.024, -0.3947, 0.0902, -0.0469, 0.0047, 0.0673], "9,5": [-0.2604, -0.2989, 0.0286, -0.0759, 0.1007, 0.0865], "9,6": [-0.2836, -0.1619, -0.2102, -0.0462, 0.0915, 0.0618], "10,0": [0.4421, -0.0916, 0.0878, -0.0373, -0.0573, 0.0717], "10,1": [0.1439, -0.3118, 0.0107, -0.0389, 0.0079, 0.0785], "10,2": [0.55, -0.0476, 0.014, -0.0347, -0.0392, 0.0681], "10,3": [0.1294, -0.5205, 0.0979, -0.0474, 0.0053, 0.0417], "10,4": [0.4528, -0.0596, 0.1376, -0.0192, -0.0478, 0.0609], "10,5": [-0.1142, -0.3413, 0.013, -0.0339, 0.0155, 0.0487], "10,6": [0.2294, -0.0428, 0.2086, -0.0563, -0.028, 0.1329], "11,0": [0.2104, 0.4931, -0.0054, 0.0054, -0.0165, 0.1086], "11,1": [0.0449, -0.4192, -0.0726, -0.0387, 0.0085, 0.0549], "11,2": [0.1388, -0.4271, 0.109, -0.0593, -0.0072, 0.0566], "11,3": [0.3836, -0.4876, 0.0488, -0.0613, -0.0434, 0.0633], "11,4": [-0.172, -0.4783, -0.0984, -0.0629, 0.0256, 0.0746], "11,5": [0.04, -0.3525, 0.0448, -0.061, 0.0439, 0.076], "11,6": [0.4429, -0.4745, 0.0207, -0.0817, -0.0099, 0.0752], "12,0": [-0.3003, 0.1291, -0.1271, -0.061, 0.1626, 0.3695], "12,1": [0.2119, 0.1134, 0.0709, -0.0479, -0.0221, 0.4053], "12,2": [0.1326, 0.1815, 0.0254, -0.0384, 0.0253, 0.3822], "12,3": [0.1497, 0.0463, -0.1333, -0.1493, -0.0091, 0.4174], "12,4": [-0.0222, -0.2452, 0.0343, -0.1871, 0.038, 0.2943], "12,5": [0.1011, -0.0028, -0.0218, -0.1379, -0.0275, 0.3502], "12,6": [0.0201, 0.2282, 0.0198, -0.0512, 0.0603, 0.4148], "13,0": [-0.1437, 0.1054, -0.1597, -0.1425, 0.328, 0.3163], "13,1": [-0.5467, 0.0039, -0.2291, -0.0997, 0.2945, 0.3466], "13,2": [-0.2518, 0.4129, -0.0159, 0.0858, 0.3389, 0.3371], "13,3": [-0.7923, -0.4349, -0.158, -0.203, 0.335, 0.1376], "13,4": [-0.9262, -0.1689, -0.0865, -0.1702, 0.308, 0.1429], "13,5": [-0.4668, 0.1131, -0.1633, -0.0379, 0.1815, 0.2488], "13,6": [-0.2742, 0.3849, -0.1518, 0.0319, 0.1582, 0.3532], "14,0": [1.0018, -0.2541, 0.1532, -0.0123, -0.0862, -0.0406], "14,1": [0.3452, 0.1238, -0.0144, -0.0066, 0.0032, 0.125], "14,2": [0.1868, -1.065, 0.1456, 0.2325, 0.0354, -0.0138], "14,3": [0.2806, -0.8642, 0.1418, 0.1375, 0.0149, 0.0025], "14,4": [0.5011, 0.0583, 0.5542, 0.0107, 0.2262, 0.0745], "14,5": [-0.1711, 0.7662, -0.0746, 0.034, 0.0654, 0.0056], "14,6": [0.6548, 0.0392, 0.1396, -0.055, -0.3598, -0.0073], "15,0": [-0.4564, -0.1087, -0.1575, -0.1758, 0.2492, 0.3531], "15,1": [-0.2906, -0.018, -0.1811, -0.1081, 0.3547, 0.2928], "15,2": [-0.4749, -0.0159, 0.0914, -0.1655, 0.3978, 0.2257], "15,3": [-0.6012, -0.1143, -0.1719, -0.1593, 0.3068, 0.3017], "15,4": [-0.3985, -0.0271, -0.0765, -0.1226, 0.4319, 0.2435], "15,5": [-0.2869, -0.1201, -0.0533, -0.1645, 0.4032, 0.2692], "15,6": [-0.1907, -0.1157, -0.089, -0.15, 0.359, 0.315], "15,7": [-0.3305, -0.0008, -0.1601, -0.1382, 0.2077, 0.3968], "15,8": [-0.353, 0.1087, -0.0924, -0.0978, 0.2272, 0.4096], "15,9": [-0.4056, -0.0666, -0.2092, -0.1517, 0.2474, 0.3592], "16,0": [-0.3114, 0.131, -0.1826, -0.0085, 0.0237, 0.0603], "16,1": [-0.2667, 0.449, -0.1543, -0.0124, 0.0211, 0.0674], "16,2": [-0.7437, 0.8328, -0.124, 0.0099, 0.0169, 0.0471], "16,3": [-1.0922, 0.105, -0.3597, -0.006, -0.0518, 0.0032], "16,4": [-0.6803, 0.3788, -0.246, -0.0196, -0.0191, 0.0252], "16,5": [-1.2325, 0.2115, -0.4122, 0.0153, -0.0467, 0.0226], "16,6": [-0.5523, -0.123, -0.1368, -0.0346, -0.0059, 0.062], "17,0": [-1.3968, -0.0585, -0.3077, -0.2557, -0.1997, -0.033], "17,1": [-0.7364, -0.5641, -0.0797, -0.2063, -0.2792, 0.1844], "17,2": [-0.8735, -0.2334, -0.2194, -0.2392, -0.2154, 0.2853], "17,3": [-0.7952, 0.2167, -0.2864, -0.1511, -0.1672, 0.3381], "17,4": [-0.6501, 0.3785, -0.2546, -0.1777, -0.2, 0.329], "17,5": [-0.2514, 0.3201, -0.1336, -0.0116, 0.0398, 0.0569], "17,6": [-0.3014, 0.1865, -0.1259, -0.0101, 0.0541, 0.0593], "18,0": [0.1151, 0.0093, -0.0188, 0.004, -0.0109, 0.0854], "18,1": [0.178, 0.4111, 0.0953, 0.0153, -0.0337, 0.1379], "18,2": [0.6274, 0.2919, 0.1081, -0.0074, -0.0337, 0.0777], "18,3": [0.0361, -0.6664, 0.0529, -0.0899, 0.0702, 0.0501], "18,4": [0.0092, -0.6098, 0.0379, -0.0825, 0.062, 0.0442], "18,5": [0.0815, -0.6313, 0.033, -0.0759, 0.0497, 0.0576], "18,6": [0.0097, 0.4705, -0.074, -0.0052, 0.0021, 0.0879], "19,0": [0.2341, -0.8568, 0.1306, -0.0931, 0.0014, 0.0176], "19,1": [-0.4037, 0.4862, -0.065, -0.0268, -0.1261, -0.171], "19,2": [-0.4209, 0.368, -0.1927, -0.0064, -0.1021, -0.1547], "19,3": [-0.6001, 0.6496, -0.2286, -0.0529, -0.1204, -0.117], "19,4": [-0.3165, 0.293, -0.1294, -0.0054, -0.1133, -0.173], "19,5": [0.3869, -1.0765, 0.2351, -0.1698, -0.0918, 0.0323], "19,6": [0.4197, -0.7843, 0.1114, -0.1768, -0.0449, 0.0372], "20,0": [-0.0332, -0.0476, -0.0114, 0.0497, -0.0268, -0.1113], "20,1": [0.2448, -0.2775, 0.106, 0.0699, 0.0148, -0.0925], "20,2": [0.3448, -0.1072, 0.1279, 0.0666, 0.027, -0.107], "20,3": [0.0995, -0.044, 0.0423, 0.076, 0.0346, -0.1315], "20,4": [0.0998, 0.4835, 0.0343, -0.009, -0.0107, -0.133], "21,0": [0.3469, 0.3848, 0.0812, 0.0121, 0.0303, -0.103], "21,1": [0.5036, 0.5181, 0.0669, -0.0192, 0.0594, -0.1097], "21,2": [0.4589, 0.1671, 0.1259, 0.0257, 0.0688, -0.113], "21,3": [0.6194, 0.0602, 0.1696, 0.067, 0.0596, -0.1414], "21,4": [0.2308, 0.0027, 0.1296, 0.0418, 0.1192, -0.02], "21,5": [0.5819, 0.1875, 0.1484, 0.0535, 0.1336, -0.0608], "22,0": [0.8064, 0.1838, 0.1408, 0.0261, 0.0672, -0.068], "22,1": [0.2014, 0.5797, 0.0211, 0.0149, 0.0827, -0.1136], "22,2": [0.2483, 0.3991, 0.2703, -0.009, 0.02, -0.0339], "22,3": [0.2284, 0.4347, 0.0265, -0.0293, 0.0949, 0.0671], "22,4": [0.2087, 0.075, 0.0211, -0.0072, 0.0865, 0.0767], "22,5": [0.3697, 0.4641, -0.0204, -0.0256, 0.0213, 0.0694], "23,0": [0.1194, -0.0959, 0.0259, -0.1005, -0.28, -0.106], "23,1": [0.1163, -0.3096, 0.0721, -0.0319, -0.2334, -0.1414], "23,2": [0.2251, -0.4083, 0.1211, -0.0278, -0.2066, -0.1363], "23,3": [0.1627, -0.2875, 0.0904, -0.0562, -0.1965, -0.135], "23,4": [0.2052, -0.4323, 0.1252, 0.0001, -0.2709, -0.1265], "24,0": [-0.0735, -0.2292, -0.0167, -0.1752, -0.2444, -0.1259], "24,1": [0.1067, -0.4123, 0.0802, -0.1054, -0.176, -0.1255], "24,2": [-0.1885, -0.4075, -0.0582, -0.1121, -0.213, -0.103], "24,3": [-0.0176, -0.3563, 0.0175, -0.1187, -0.2191, -0.1761], "24,4": [-0.0812, -0.4797, 0.0026, -0.1101, -0.2679, -0.1509], "25,0": [0.0733, -0.3951, 0.0571, -0.0817, -0.3007, -0.1047], "26,0": [-0.3559, 0.1277, -0.1298, 0.0151, -0.038, -0.0902], "26,1": [-0.2582, 0.056, -0.1008, 0.0376, -0.0204, -0.1135], "26,2": [0.0656, -0.2316, 0.051, 0.0833, 0.0042, -0.0898], "26,3": [-0.0938, 0.2846, -0.052, 0.0224, 0.041, -0.1312], "26,4": [-0.1154, 0.2124, -0.0641, 0.0262, 0.0639, -0.1294], "27,0": [-0.1064, -0.0374, -0.0312, 0.0395, 0.0115, -0.1144], "27,1": [-0.2262, -0.5249, -0.0372, 0.1063, -0.0165, -0.0766], "27,2": [-0.4119, -0.4254, -0.1315, 0.0679, -0.0323, -0.1245], "27,3": [-0.2326, -0.3989, -0.06, 0.0938, 0.0194, -0.0914], "27,4": [-0.0091, -0.7892, 0.0512, 0.0956, 0.0209, -0.0373], "28,0": [0.654, 1.1127, 0.0115, -0.1435, -0.0562, -0.057], "28,1": [0.7295, 0.3184, -0.0102, -0.0569, 0.007, 0.0181], "28,2": [0.9511, 0.3302, 0.1487, -0.0101, 0.0058, 0.0273], "28,3": [0.6362, 0.2108, 0.2286, -0.0293, 0.045, 0.0142], "28,4": [0.3045, 0.1169, 0.0164, -0.002, 0.0437, 0.0083], "28,5": [-1.5285, -0.2048, -0.0251, -0.0514, -0.0773, -0.0027], "28,6": [-0.1989, -0.5508, -0.0415, 0.095, 0.0033, -0.0171], "29,0": [1.3833, 0.42, 0.3087, -0.1047, -0.1684, -0.2303], "29,1": [1.0656, 0.9109, 0.1383, -0.1822, -0.3875, -0.0483], "29,2": [0.229, -0.6763, 0.1707, -0.2967, -0.4175, -0.0097], "29,3": [-0.6727, -0.3438, -0.0927, -0.24, -0.0195, 0.1298], "29,4": [-0.1795, 0.2065, -0.0869, -0.0808, -0.1144, 0.1688], "30,0": [0.0205, 0.5662, -0.0124, -0.0578, -0.0485, -0.2568], "30,1": [-0.4391, 0.8672, -0.1061, -0.0752, -0.0633, -0.1611], "30,2": [-0.9046, 0.2912, -0.2498, 0.0577, -0.2424, -0.1448], "30,3": [1.0581, 0.6189, 0.3405, 0.248, -0.2816, 0.0298], "30,4": [0.2566, -1.0242, 0.225, 0.3216, -0.1741, -0.0478], "31,0": [0.1369, -0.3371, 0.0177, 0.0755, -0.0013, -0.0909], "31,1": [-0.1354, -0.307, -0.1168, 0.0874, -0.039, -0.0939], "31,2": [0.1072, 0.0265, 0.0313, 0.0639, -0.0244, -0.1299], "31,3": [0.1967, 0.3791, -0.0386, 0.0015, 0.0151, -0.1376], "31,4": [0.0759, -0.4229, 0.0806, 0.1059, -0.0056, -0.1013], "31,5": [0.0765, -0.3117, 0.0658, 0.0806, 0.0163, -0.0957], "31,6": [-0.4419, 0.3139, -0.2412, 0.0363, 0.0571, -0.1216], "32,0": [-0.4164, -0.1462, -0.1915, 0.1034, -0.0859, -0.1013], "32,1": [-0.2558, 0.1505, -0.0818, 0.055, -0.0576, -0.1057], "32,2": [-0.3275, 0.2384, -0.1165, 0.0516, -0.0479, -0.0909], "32,3": [-0.3208, -0.0989, 0.0461, 0.0658, 0.0005, -0.0557], "32,4": [-0.2944, -0.143, -0.0605, 0.1051, -0.0423, -0.1009], "33,0": [-0.1909, 0.3939, -0.1001, 0.0413, -0.0452, -0.1421], "33,1": [0.1402, 0.3579, 0.0395, 0.0571, -0.0103, -0.1418], "33,2": [-0.2914, 0.0862, -0.0995, 0.0871, -0.0533, -0.1228], "33,3": [-0.0588, 0.2466, 0.0042, 0.0585, -0.018, -0.1289], "33,4": [0.0006, 0.1292, -0.0457, 0.0773, -0.0103, -0.1198], "34,0": [-0.2387, 0.057, -0.0953, 0.0678, -0.0186, -0.1014], "34,1": [-0.1466, -0.0169, -0.0532, 0.0885, -0.028, -0.1162], "34,2": [0.1954, -0.0715, 0.0576, 0.1145, -0.0166, -0.1049], "34,3": [-0.0654, -0.0253, -0.0224, 0.095, -0.0389, -0.1196], "34,4": [0.2097, -0.132, 0.0749, 0.0835, 0.0142, -0.1038]}, "butt": -0.5, "roll": {"e1": [0.93629, 0.0338, 0.34959], "ref": 653, "phi": {"0,0": 2.0944, "0,1": 2.0944, "0,2": 2.0944, "0,3": 2.3038, "0,4": 2.4086, "0,5": 2.5133, "0,6": 2.4086, "0,7": 2.1991, "0,8": 2.0944, "0,9": 1.9897, "1,0": 1.7802, "1,1": 1.7802, "1,2": 1.7802, "1,3": 1.7802, "1,4": 1.885, "1,5": 1.9897, "1,6": 1.9897, "1,7": 1.885, "1,8": 1.7802, "1,9": 1.7802, "2,0": 1.7802, "2,1": 1.885, "2,2": 1.885, "2,3": 1.7802, "2,4": 1.6755, "2,5": 1.6755, "2,6": 1.7802, "2,7": 1.885, "2,8": 1.9897, "2,9": 1.9897, "3,0": 1.9897, "3,1": 1.9897, "3,2": 1.9897, "3,3": 1.9897, "3,4": 2.0944, "3,5": 2.0944, "3,6": 2.0944, "3,7": 2.0944, "3,8": 1.9897, "3,9": 2.0944, "4,0": 1.9897, "5,0": 1.9897, "5,1": 1.9897, "5,2": 1.9897, "5,3": 1.7802, "5,4": 1.7802, "6,0": 2.1991, "6,1": 2.0944, "6,2": 2.0944, "6,3": 2.1991, "6,4": 1.9897, "7,0": 1.9897, "8,0": 1.7802, "9,0": 1.3614, "9,1": 1.1519, "9,2": 1.2566, "9,3": 1.3614, "9,4": 1.3614, "9,5": 1.1519, "9,6": 1.1519, "10,0": 1.6755, "10,1": 1.5708, "10,2": 1.5708, "10,3": 1.5708, "10,4": 1.5708, "10,5": 1.4661, "10,6": 1.4661, "11,0": 1.6755, "11,1": 1.6755, "11,2": 1.6755, "11,3": 1.7802, "11,4": 1.6755, "11,5": 1.4661, "11,6": 1.5708, "12,0": 1.9897, "12,1": 1.7802, "12,2": 1.885, "12,3": 2.0944, "12,4": 1.9897, "12,5": 2.0944, "12,6": 2.0944, "13,0": 1.6755, "13,1": 1.4661, "13,2": 1.6755, "13,3": 2.0944, "13,4": 2.1991, "13,5": 1.9897, "13,6": 1.7802, "14,0": 2.5133, "14,1": 2.4086, "14,2": 2.5133, "14,3": 2.5133, "14,4": 2.0944, "14,5": 1.9897, "14,6": 1.6755, "15,0": 4.5029, "15,1": 4.5029, "15,2": 4.3982, "15,3": 4.3982, "15,4": 4.3982, "15,5": 4.3982, "15,6": 4.3982, "15,7": 4.3982, "15,8": 4.3982, "15,9": 4.3982, "16,0": 3.8746, "16,1": 3.7699, "16,2": 3.7699, "16,3": 3.8746, "16,4": 3.9794, "16,5": 4.0841, "16,6": 4.1888, "17,0": 5.7596, "17,1": 5.8643, "17,2": 6.0737, "17,3": 6.0737, "17,4": 5.969, "17,5": 5.969, "17,6": 6.0737, "18,0": 4.0841, "18,1": 3.8746, "18,2": 3.6652, "18,3": 3.6652, "18,4": 3.5605, "18,5": 3.5605, "18,6": 3.6652, "19,0": 3.8746, "19,1": 4.0841, "19,2": 4.1888, "19,3": 4.1888, "19,4": 4.0841, "19,5": 3.9794, "19,6": 3.9794, "20,0": 1.5708, "20,1": 1.4661, "20,2": 1.5708, "20,3": 1.5708, "20,4": 1.4661, "21,0": 4.6077, "21,1": 4.6077, "21,2": 4.7124, "21,3": 4.8171, "21,4": 4.6077, "21,5": 4.7124, "22,0": 5.8643, "22,1": 5.6549, "22,2": 5.7596, "22,3": 6.0737, "22,4": 0.0, "22,5": 0.2094, "23,0": 2.0944, "23,1": 1.9897, "23,2": 1.9897, "23,3": 1.9897, "23,4": 2.0944, "24,0": 1.7802, "24,1": 1.7802, "24,2": 1.7802, "24,3": 1.885, "24,4": 1.9897, "25,0": 2.0944, "26,0": 1.2566, "26,1": 1.3614, "26,2": 1.4661, "26,3": 1.4661, "26,4": 1.3614, "27,0": 1.885, "27,1": 2.0944, "27,2": 1.9897, "27,3": 1.7802, "27,4": 1.7802, "28,0": 0.8378, "28,1": 0.5236, "28,2": 0.2094, "28,3": 0.0, "28,4": 0.0, "28,5": 0.1047, "28,6": 0.3142, "29,0": 3.2463, "29,1": 3.1416, "29,2": 2.8274, "29,3": 2.3038, "29,4": 1.9897, "30,0": 4.6077, "30,1": 4.7124, "30,2": 4.9218, "30,3": 5.5501, "30,4": 5.6549, "31,0": 4.5029, "31,1": 4.5029, "31,2": 4.5029, "31,3": 4.3982, "31,4": 4.3982, "31,5": 4.1888, "31,6": 4.0841, "32,0": 1.4661, "32,1": 1.2566, "32,2": 1.0472, "32,3": 0.9425, "32,4": 1.1519, "33,0": 1.9897, "33,1": 1.885, "33,2": 1.885, "33,3": 1.6755, "33,4": 1.7802, "34,0": 1.6755, "34,1": 1.6755, "34,2": 1.885, "34,3": 1.7802, "34,4": 1.7802}, "offsets": {"611": 0.0906, "612": 0.0259, "613": 0.0939, "615": 0.2169, "634": 3.2998, "646": 3.278, "653": 0.0334}}}, "bow.L": {"parent": "hand.L", "pivot": [0.0758, 0.0002, 0.0278], "dir": [-0.3439, -0.0419, 0.9381], "anims": {"649": [-0.441, 0.423], "651": [-0.394, 0.319], "616": [-0.438, 0.417]}, "chamfer": {"649": 1.73, "651": 1.6, "616": 2.13}, "poses": {"0,0": [-0.1305, -0.1909, -0.0592, -0.0353, 0.0027, 0.0099], "0,1": [-0.3486, -0.0091, -0.1289, -0.0023, 0.0096, -0.0479], "0,2": [-0.0337, 0.1005, -0.0207, -0.0247, 0.038, 0.0043], "0,3": [0.0569, -0.0368, 0.03, -0.0329, 0.0314, 0.0009], "0,4": [-0.2034, -0.0399, -0.0928, -0.0087, 0.0432, -0.0237], "0,5": [-0.3033, -0.0177, -0.103, -0.017, 0.0233, -0.0228], "0,6": [-0.1225, 0.0078, -0.11, -0.004, 0.0263, -0.0168], "0,7": [-0.1246, 0.0332, -0.0735, -0.0011, -0.0011, -0.0097], "0,8": [-0.3013, -0.0395, -0.0785, 0.0039, -0.0104, -0.0148], "0,9": [-0.3764, -0.1023, -0.1432, -0.0271, -0.0088, 0.0271], "1,0": [0.0315, -0.2024, 0.0291, -0.017, 0.0376, -0.0036], "1,1": [0.0835, -0.0051, 0.0701, -0.036, 0.0186, -0.0202], "1,2": [0.1201, 0.1422, 0.0347, -0.0182, 0.0518, -0.0264], "1,3": [0.2009, 0.2014, 0.0515, -0.0249, 0.0496, -0.0165], "1,4": [0.4212, 0.3293, 0.1308, -0.014, 0.0515, -0.0073], "1,5": [0.2526, 0.3396, 0.0352, -0.021, 0.0256, -0.0181], "1,6": [0.2097, 0.2699, 0.1171, -0.0153, 0.0641, -0.0244], "1,7": [0.3213, 0.1156, 0.0951, -0.0241, 0.0474, -0.0215], "1,8": [0.1118, 0.0644, 0.0667, -0.0096, 0.0514, -0.0201], "1,9": [0.2829, -0.0816, 0.0785, -0.037, 0.0503, 0.0026], "2,0": [0.2105, -0.3661, 0.0841, -0.0055, 0.0329, -0.015], "2,1": [0.2315, 0.2648, 0.1075, -0.0095, 0.0554, -0.0423], "2,2": [-0.1539, 0.3444, 0.0101, -0.0092, 0.0397, -0.0389], "2,3": [-0.0302, 0.396, -0.0139, -0.0211, 0.0334, -0.0209], "2,4": [-0.0108, 0.0849, 0.0728, -0.0161, 0.0681, -0.0235], "2,5": [0.108, 0.1357, 0.0356, -0.0001, 0.0765, -0.0361], "2,6": [0.2394, 0.1843, 0.0838, -0.0432, 0.0592, -0.0038], "2,7": [0.1439, 0.1414, 0.0993, -0.008, 0.0708, -0.0308], "2,8": [-0.1144, 0.2063, -0.0331, -0.0024, 0.0534, -0.0384], "2,9": [-0.1238, 0.1085, -0.0413, -0.0116, 0.0425, -0.0261], "3,0": [0.2465, 0.1861, 0.0674, -0.0401, 0.0362, -0.0356], "3,1": [-0.0747, 0.468, 0.008, -0.0235, 0.0279, -0.0456], "3,2": [0.1932, 0.1008, 0.0653, -0.0102, 0.0512, -0.0309], "3,3": [0.3715, 0.075, 0.0853, -0.0105, 0.0395, -0.0278], "3,4": [-0.0478, 0.1678, -0.0042, -0.0184, 0.046, -0.0079], "3,5": [0.2347, 0.0256, 0.0327, -0.0162, 0.0289, -0.0052], "3,6": [0.2182, 0.0541, 0.0672, -0.0161, 0.0093, -0.0302], "3,7": [-0.1659, 0.226, -0.0475, -0.0004, 0.038, -0.0371], "3,8": [-0.0381, 0.2809, 0.0227, -0.0161, 0.0534, -0.0264], "3,9": [0.414, 0.2321, 0.1477, -0.0414, 0.0492, -0.0015], "4,0": [0.0314, 0.284, 0.0109, -0.0102, 0.0362, -0.027], "5,0": [0.6754, 0.5461, 0.1708, -0.0398, 0.0375, -0.0215], "5,1": [0.1576, 0.6675, 0.0659, -0.0185, 0.0285, -0.026], "5,2": [0.2858, 0.7024, 0.1471, -0.0116, 0.0667, -0.0459], "5,3": [0.4358, 0.8226, 0.1154, -0.0285, 0.0343, -0.0356], "5,4": [0.1244, 0.6126, 0.0626, -0.027, 0.0594, -0.027], "6,0": [-0.1295, 0.1261, -0.0603, -0.0201, 0.0368, -0.0119], "6,1": [0.0192, -0.1043, 0.0068, -0.0089, 0.0613, -0.0173], "6,2": [0.1169, 0.1399, 0.0531, -0.0205, 0.0481, -0.0175], "6,3": [-0.0632, -0.075, -0.0612, -0.0163, 0.0643, -0.0222], "6,4": [0.0919, 0.3494, 0.0239, -0.0179, 0.0641, -0.0443], "7,0": [-0.1147, -0.4766, -0.0538, -0.026, -0.0396, -0.0051], "8,0": [-0.2861, -0.519, -0.1255, -0.033, 0.095, -0.0318], "9,0": [0.0577, -0.1785, -0.0582, -0.0269, 0.0782, 0.048], "9,1": [-0.0732, -0.524, -0.07, -0.0796, 0.0733, 0.0682], "9,2": [0.0634, -0.488, -0.0064, -0.0585, 0.04, 0.0592], "9,3": [-0.0035, -0.5205, 0.0536, -0.0397, 0.0608, 0.0448], "9,4": [0.0575, -0.5935, 0.0503, -0.0554, 0.0606, 0.06], "9,5": [-0.2527, -0.6421, -0.0118, -0.0817, 0.1185, 0.0626], "9,6": [-0.314, -0.5152, -0.1958, -0.0464, 0.1105, 0.044], "10,0": [0.5725, -0.2803, 0.0727, -0.0527, 0.0051, 0.0718], "10,1": [0.1773, -0.6234, 0.0844, -0.0415, 0.0525, 0.0545], "10,2": [0.5094, -0.3942, 0.2027, -0.0407, 0.0058, 0.0588], "10,3": [0.1972, -0.7715, 0.1297, -0.0657, 0.0573, 0.0355], "10,4": [0.518, -0.3838, 0.1935, -0.0339, 0.0126, 0.0429], "10,5": [-0.0293, -0.6663, 0.0387, -0.034, 0.0562, 0.0281], "10,6": [0.4519, -0.2752, 0.0847, -0.0439, 0.0442, 0.069], "11,0": [0.3303, 0.1157, 0.0477, -0.0268, 0.0351, 0.0418], "11,1": [0.1978, -0.7317, 0.0363, -0.046, 0.056, 0.0339], "11,2": [0.3165, -0.7365, 0.1753, -0.0661, 0.0454, 0.0308], "11,3": [0.721, -0.6658, 0.0115, -0.0764, 0.0204, 0.0446], "11,4": [0.0249, -0.8557, -0.104, -0.0727, 0.0589, 0.0506], "11,5": [0.0988, -0.78, 0.0365, -0.0552, 0.0818, 0.0362], "11,6": [0.4562, -0.8852, 0.1107, -0.0924, 0.0293, 0.0604], "12,0": [-0.2377, 0.0765, -0.0948, -0.0387, 0.0451, 0.0007], "12,1": [0.1493, 0.1321, 0.038, -0.028, 0.043, 0.0187], "12,2": [0.0677, 0.1177, -0.0159, -0.0196, 0.0674, -0.0039], "12,3": [0.1661, -0.1336, 0.1073, -0.0468, 0.0053, 0.0282], "12,4": [0.0041, -0.4547, -0.0761, -0.027, -0.0239, -0.0169], "12,5": [-0.0071, -0.1899, 0.0317, -0.0353, -0.0215, -0.0024], "12,6": [0.0252, 0.0609, 0.0397, -0.02, 0.0611, 0.0221], "13,0": [-0.4187, -0.2571, -0.1655, -0.0488, 0.0321, -0.0209], "13,1": [-0.5611, -0.2349, -0.017, -0.037, 0.0366, -0.0162], "13,2": [-0.6712, 0.2447, -0.2245, -0.0341, 0.0567, 0.0108], "13,3": [-0.9056, -0.4936, 0.0279, -0.0612, 0.0621, 0.0061], "13,4": [-0.3039, -0.5878, -0.1827, -0.0552, 0.0669, -0.0077], "13,5": [-0.5564, -0.1303, 0.0542, -0.0351, 0.0385, 0.0238], "13,6": [-0.3156, 0.1037, -0.0593, -0.0284, 0.0407, -0.0151], "14,0": [0.7037, -0.0979, 0.2565, -0.0698, -0.0198, -0.0144], "14,1": [-0.0423, 0.4964, -0.0625, -0.0234, 0.025, 0.0252], "14,2": [0.3323, -0.0164, -0.0424, -0.1512, 0.0334, -0.012], "14,3": [0.2396, 0.0019, 0.0556, -0.1783, 0.0018, 0.0157], "14,4": [0.1649, -0.0567, 0.0468, -0.046, 0.1647, 0.0219], "14,5": [-0.3525, 0.9099, -0.1853, -0.03, 0.0615, 0.0047], "14,6": [0.3302, -0.2033, 0.0763, -0.0449, -0.3019, -0.0444], "15,0": [0.2998, -0.7278, 0.0481, -0.0881, 0.046, 0.0276], "15,1": [0.2165, -0.6345, -0.1419, -0.0929, 0.0433, 0.0311], "15,2": [0.0854, -0.7501, 0.1037, -0.0708, 0.0732, -0.0036], "15,3": [0.2216, -0.8255, -0.0395, -0.0651, 0.0638, 0.0208], "15,4": [-0.0983, -0.7511, 0.0947, -0.0696, 0.0789, 0.0027], "15,5": [0.2179, -0.7936, -0.0811, -0.0739, 0.0809, 0.0131], "15,6": [-0.0285, -0.8357, 0.1785, -0.0737, 0.0632, 0.0116], "15,7": [0.262, -0.8198, 0.0398, -0.0724, 0.0504, 0.0288], "15,8": [0.3342, -0.6364, -0.0459, -0.0652, 0.0567, 0.0268], "15,9": [0.2521, -0.7381, 0.11, -0.0677, 0.0478, 0.0138], "16,0": [-0.4187, -0.0048, -0.2336, 0.0003, 0.0567, 0.012], "16,1": [-0.3928, 0.1386, -0.164, -0.0084, 0.0518, 0.0052], "16,2": [-0.8902, 0.5664, -0.0404, -0.0146, 0.009, -0.0211], "16,3": [-1.1709, -0.0546, -0.2162, -0.014, -0.0491, -0.025], "16,4": [-0.733, 0.2174, -0.0411, -0.0305, -0.0025, -0.0515], "16,5": [-1.2184, 0.0165, -0.304, 0.0025, -0.0338, -0.0282], "16,6": [-0.4756, -0.3102, 0.0083, -0.0292, 0.0316, 0.0153], "17,0": [-1.4242, -0.0963, -0.0716, -0.2664, -0.2177, -0.0664], "17,1": [-0.5877, -0.352, -0.2036, -0.2618, -0.2237, 0.0927], "17,2": [-0.4888, 0.3584, -0.0754, -0.3143, -0.1888, 0.1963], "17,3": [-0.8805, 0.4581, -0.0514, -0.2573, -0.1214, 0.2755], "17,4": [-0.7092, 0.5655, -0.1006, -0.2799, -0.1371, 0.255], "17,5": [-0.5333, 0.2232, -0.1107, -0.0196, 0.0182, 0.0116], "17,6": [-0.5693, 0.0324, -0.1083, -0.0113, 0.0417, 0.0195], "18,0": [0.1472, -0.1561, -0.0036, 0.007, 0.0642, 0.0273], "18,1": [0.1863, 0.3072, 0.1565, -0.0174, 0.0986, -0.0046], "18,2": [0.5542, 0.3482, 0.1816, 0.0473, 0.0959, 0.0041], "18,3": [0.3047, -0.9273, -0.0231, -0.0847, 0.0717, 0.0715], "18,4": [0.1161, -0.9487, 0.1404, -0.0825, 0.0537, 0.0568], "18,5": [-0.0211, -0.844, -0.0163, -0.0674, 0.0822, 0.0571], "18,6": [-0.2087, 0.307, -0.0499, -0.0248, 0.0281, -0.0143], "19,0": [0.0686, -0.8115, 0.0003, -0.0238, 0.0585, 0.022], "19,1": [-0.4181, 0.6014, -0.0831, -0.1071, -0.014, -0.0161], "19,2": [-0.5207, 0.5367, -0.1538, -0.0877, 0.0072, -0.0043], "19,3": [-0.6162, 0.8404, -0.0605, -0.0818, 0.027, 0.0127], "19,4": [-0.3361, 0.4159, -0.0817, -0.1136, -0.0108, -0.0098], "19,5": [0.3969, -0.9488, 0.05, -0.1732, 0.0181, 0.0572], "19,6": [0.1586, -0.7289, 0.0717, -0.1383, 0.0443, 0.0314], "20,0": [-0.1886, -0.0691, -0.1072, -0.0202, 0.0301, -0.0242], "20,1": [0.0761, -0.2612, 0.0211, -0.0255, 0.034, -0.005], "20,2": [0.178, -0.1195, 0.067, -0.0154, 0.0479, -0.0111], "20,3": [-0.075, -0.0183, -0.0048, -0.0011, 0.0834, -0.0256], "20,4": [-0.1079, 0.499, -0.037, -0.013, 0.0396, -0.0445], "21,0": [0.1276, 0.3139, -0.0106, -0.014, 0.0692, -0.032], "21,1": [0.1837, 0.4607, 0.1004, -0.0185, 0.0698, -0.033], "21,2": [0.1804, 0.165, 0.0751, -0.0245, 0.0821, -0.0381], "21,3": [0.3463, 0.0429, 0.1162, 0.0002, 0.0555, -0.0555], "21,4": [0.1718, -0.0011, -0.0445, -0.0227, 0.1015, 0.0452], "21,5": [0.3475, 0.1684, 0.1207, -0.0061, 0.1172, 0.0219], "22,0": [0.5308, 0.1211, 0.1451, -0.0266, 0.0514, -0.0048], "22,1": [-0.0373, 0.507, -0.0282, 0.001, 0.1188, -0.0331], "22,2": [0.1859, 0.4314, 0.1066, -0.0506, 0.0922, -0.0533], "22,3": [0.1985, 0.3256, 0.1432, -0.0896, 0.1541, 0.0233], "22,4": [0.1753, -0.0466, 0.0511, -0.0691, 0.1505, 0.0284], "22,5": [0.3386, 0.4011, 0.1652, -0.1063, 0.0779, 0.0193], "23,0": [-0.0773, -0.1246, -0.036, -0.1835, -0.2296, -0.0194], "23,1": [-0.0319, -0.3394, -0.0704, -0.1377, -0.1906, -0.0585], "23,2": [0.0487, -0.4306, 0.0138, -0.146, -0.1812, -0.0526], "23,3": [-0.0135, -0.2921, -0.0026, -0.1639, -0.1628, -0.0407], "23,4": [0.0371, -0.4545, -0.0005, -0.1221, -0.2313, -0.0493], "24,0": [-0.2651, -0.2229, -0.0387, -0.271, -0.1908, -0.0336], "24,1": [-0.0355, -0.4141, -0.0342, -0.2256, -0.1415, -0.0451], "24,2": [-0.3384, -0.4226, -0.155, -0.2406, -0.139, -0.0143], "24,3": [-0.1988, -0.3587, -0.0503, -0.2312, -0.1641, -0.0979], "24,4": [-0.2228, -0.4749, -0.1202, -0.2353, -0.2043, -0.0672], "25,0": [-0.0885, -0.4157, -0.0367, -0.2065, -0.2569, -0.0199], "26,0": [-0.5268, 0.1686, -0.1515, -0.0479, 0.0353, 0.0029], "26,1": [-0.4183, 0.0901, -0.1136, -0.0273, 0.044, -0.0255], "26,2": [-0.057, -0.2077, -0.0481, -0.0224, 0.0251, -0.0001], "26,3": [-0.2734, 0.321, -0.0335, -0.0201, 0.0858, -0.033], "26,4": [-0.2813, 0.2371, -0.0479, -0.0283, 0.1125, -0.0319], "27,0": [-0.2965, -0.006, -0.0509, -0.0346, 0.0605, -0.0197], "27,1": [-0.3885, -0.536, -0.1, -0.0076, 0.0618, -0.0049], "27,2": [-0.673, -0.3642, -0.0394, -0.0363, 0.0695, -0.0396], "27,3": [-0.3874, -0.3055, -0.0971, -0.0239, 0.0553, 0.0179], "27,4": [-0.1362, -0.7706, -0.1044, -0.0506, 0.0634, 0.0137], "28,0": [0.0496, 1.2511, -0.0716, -0.2021, -0.0417, -0.1137], "28,1": [0.6383, 0.2722, 0.2758, -0.1253, -0.031, 0.0134], "28,2": [0.8955, 0.2124, 0.3868, -0.0878, -0.0723, 0.0294], "28,3": [0.653, 0.2911, 0.1656, -0.1223, -0.0203, 0.0388], "28,4": [0.2462, 0.2048, -0.017, -0.1086, 0.0102, 0.0584], "28,5": [-1.417, -0.3916, -0.1432, -0.1535, 0.0037, -0.0716], "28,6": [-0.2924, -0.4258, -0.046, -0.0194, 0.0213, -0.0403], "29,0": [0.9724, 0.4962, 0.3226, -0.1341, -0.2594, -0.1854], "29,1": [0.8357, 0.7966, 0.398, -0.2509, -0.2965, -0.0733], "29,2": [0.0419, -0.7015, 0.0591, -0.1704, -0.3137, -0.0943], "29,3": [-0.8246, -0.3679, -0.1934, -0.0388, -0.2175, -0.1086], "29,4": [-0.6041, 0.2229, -0.1286, -0.0739, -0.116, -0.0112], "30,0": [0.1845, -0.1285, 0.03, -0.0304, 0.0435, -0.1464], "30,1": [-0.0872, 0.2152, 0.023, -0.0492, 0.0514, -0.077], "30,2": [-0.5471, -0.1607, -0.109, 0.0453, -0.0656, -0.1129], "30,3": [0.2443, 0.9437, 0.1352, 0.1749, -0.177, 0.0385], "30,4": [0.9867, -0.6016, 0.1618, 0.122, -0.1293, -0.0401], "31,0": [0.5152, -0.3494, 0.0862, -0.0642, 0.0375, 0.016], "31,1": [0.1301, -0.3736, -0.007, -0.0196, 0.0471, -0.001], "31,2": [0.4294, 0.0114, 0.0011, -0.0025, 0.0214, -0.024], "31,3": [0.4131, 0.1912, 0.1772, -0.0178, 0.047, -0.0424], "31,4": [0.3845, -0.4373, 0.0883, -0.0045, 0.0362, -0.0121], "31,5": [0.3231, -0.3922, 0.055, -0.0195, 0.0483, -0.0099], "31,6": [-0.2354, 0.0613, -0.095, 0.008, 0.1549, -0.0161], "32,0": [-0.1911, -0.0784, -0.0708, 0.0113, 0.0065, -0.0086], "32,1": [-0.0319, 0.1353, 0.0401, 0.0012, 0.0069, -0.0096], "32,2": [-0.0051, 0.0419, -0.0328, -0.0096, 0.0094, -0.0074], "32,3": [-0.0356, -0.3299, -0.025, -0.0178, 0.029, -0.0086], "32,4": [0.0656, -0.1367, -0.0378, 0.0217, 0.0213, -0.0159], "33,0": [-0.0174, 0.5994, -0.015, 0.0214, 0.0285, -0.0681], "33,1": [0.3459, 0.5239, 0.0636, 0.0337, 0.0178, -0.0555], "33,2": [-0.1125, 0.2749, -0.0024, 0.0334, 0.0281, -0.0398], "33,3": [0.1584, 0.3532, 0.0874, 0.0171, 0.0263, -0.0335], "33,4": [0.1974, 0.2777, 0.0591, 0.0228, 0.033, -0.0333], "34,0": [-0.0741, 0.227, 0.0063, 0.0161, 0.0443, -0.021], "34,1": [0.0785, 0.0579, -0.0495, 0.0152, 0.0245, -0.0245], "34,2": [0.2924, 0.1857, 0.0769, 0.0327, 0.0187, -0.0127], "34,3": [0.0868, 0.1241, 0.023, 0.0172, 0.0128, -0.019], "34,4": [0.4163, 0.0172, 0.1299, 0.0038, 0.0283, -0.0078]}, "butt": -0.43}, "weapon1h.R": {"parent": "hand.R", "pivot": [-0.0119, 0.0596, 0.0051], "dir": [0.3007, -0.0221, 0.9534], "anims": {"618": [-0.143, 0.791], "620": [-0.19, 0.631], "627": [-0.131, 0.488], "631": [-0.227, 0.718], "643": [-0.182, 0.871], "625": [-0.334, 0.689], "623": [-0.16, 0.512], "630": [-0.312, 0.68], "633": [-0.279, 0.683], "635": [-0.189, 0.592], "637": [-0.151, 0.661], "644": [-0.368, 0.731], "645": [-0.294, 0.706]}, "chamfer": {"618": 0.77, "620": 0.84, "627": 0.66, "631": 1.05, "643": 0.68, "625": 0.89, "623": 1.1, "630": 0.85, "633": 0.86, "635": 1.29, "637": 0.89, "644": 1.03, "645": 1.33}, "poses": {"0,0": [0.0143, -0.0657, 0.0548, 0.0425, 0.0058, 0.0654], "0,1": [-0.1056, -0.1201, 0.0471, 0.0141, -0.0044, 0.1089], "0,2": [-0.1322, 0.1169, 0.0609, 0.0258, -0.0357, 0.0915], "0,3": [-0.0783, -0.1003, -0.0685, 0.0398, -0.015, 0.0881], "0,4": [-0.0632, 0.0255, 0.0066, 0.025, -0.0153, 0.0703], "0,5": [0.0431, -0.0722, 0.0197, 0.0478, 0.0133, 0.093], "0,6": [0.0721, 0.0077, 0.1114, 0.0341, 0.0177, 0.0849], "0,7": [-0.0534, -0.075, 0.0096, 0.0464, -0.0187, 0.0634], "0,8": [-0.0607, 0.0047, -0.0319, 0.0169, -0.0197, 0.0488], "0,9": [-0.0245, 0.0471, -0.0493, 0.0018, -0.0089, 0.018], "1,0": [-0.0342, -0.0477, 0.0793, 0.0122, -0.0128, 0.0371], "1,1": [-0.0093, 0.031, 0.0555, 0.0101, -0.0096, 0.0923], "1,2": [0.0183, -0.0047, -0.0102, 0.0145, 0.0004, 0.0687], "1,3": [-0.0752, -0.0361, 0.2523, 0.0204, -0.0415, 0.0583], "1,4": [-0.07, 0.0136, -0.003, 0.0246, -0.0301, 0.0439], "1,5": [-0.111, -0.0107, -0.1367, 0.0346, -0.0173, 0.0877], "1,6": [-0.0108, -0.0459, 0.0773, 0.0233, -0.0174, 0.0656], "1,7": [-0.0783, -0.001, 0.021, 0.0157, -0.0179, 0.0476], "1,8": [-0.2226, 0.0183, -0.2009, 0.0027, -0.0459, 0.0272], "1,9": [-0.0201, -0.0016, 0.0829, 0.0083, -0.0097, 0.0208], "2,0": [-0.014, -0.0158, -0.021, 0.0291, 0.0038, 0.1079], "2,1": [-0.0018, -0.0153, 0.0658, 0.0344, -0.0019, 0.1319], "2,2": [0.0211, -0.0321, 0.0709, 0.0202, -0.0167, 0.0944], "2,3": [-0.1379, 0.0362, 0.0261, 0.0147, -0.0405, 0.0485], "2,4": [-0.1509, 0.0005, -0.0108, 0.0415, -0.0286, 0.0529], "2,5": [-0.0425, -0.0673, 0.1371, 0.009, -0.0255, 0.0389], "2,6": [-0.1448, 0.0127, -0.1092, 0.0149, -0.0234, 0.0802], "2,7": [0.0071, -0.0983, 0.0069, 0.0525, 0.0093, 0.1291], "2,8": [-0.0151, -0.0439, 0.0223, 0.0315, -0.0065, 0.1196], "2,9": [-0.0066, -0.0439, -0.0145, 0.0204, 0.0031, 0.0749], "3,0": [0.0018, -0.0282, -0.0167, 0.0364, 0.0169, 0.0879], "3,1": [-0.0073, -0.0019, -0.0974, 0.0547, 0.0076, 0.1241], "3,2": [-0.0234, -0.0984, -0.0421, 0.0574, 0.0022, 0.101], "3,3": [-0.0481, -0.0032, 0.0065, 0.0104, -0.0213, 0.035], "3,4": [0.0034, -0.0625, 0.1175, 0.0378, -0.033, 0.0438], "3,5": [-0.0357, -0.0639, -0.0176, 0.0227, -0.0087, 0.0446], "3,6": [-0.0038, -0.0158, 0.1344, 0.0268, -0.0069, 0.053], "3,7": [-0.0612, -0.0319, -0.0312, 0.0486, -0.0021, 0.1405], "3,8": [-0.0093, -0.058, 0.0002, 0.042, -0.0053, 0.0882], "3,9": [0.0261, -0.023, -0.0245, 0.0247, 0.0086, 0.0692], "4,0": [-0.0438, -0.0171, 0.0142, 0.0261, -0.0136, 0.0776], "5,0": [-0.0558, 0.0099, -0.0289, 0.0293, -0.0148, 0.1075], "5,1": [-0.0405, -0.0967, -0.0287, 0.045, -0.0037, 0.116], "5,2": [-0.0268, -0.0475, -0.0676, 0.0337, -0.0042, 0.1156], "5,3": [-0.0427, -0.0663, -0.0708, 0.0505, 0.004, 0.136], "5,4": [-0.01, -0.0706, 0.0101, 0.0364, 0.0041, 0.0885], "6,0": [-0.0869, -0.0345, -0.1915, 0.0132, -0.0072, -0.0107], "6,1": [-0.1138, -0.0786, -0.0725, 0.0369, -0.0297, 0.047], "6,2": [-0.0548, -0.097, 0.058, 0.0488, -0.0219, 0.0868], "6,3": [-0.0659, -0.0506, 0.0506, 0.0411, -0.0215, 0.0825], "6,4": [0.0006, -0.053, 0.1222, 0.0256, -0.0104, 0.0056], "7,0": [-0.0718, -0.05, -0.0211, 0.0186, -0.0087, 0.0845], "8,0": [0.0225, -0.0196, -0.0108, 0.0019, 0.0109, 0.0639], "9,0": [0.1527, -0.0965, 0.0053, 0.0374, 0.0385, 0.0739], "9,1": [0.1665, 0.0026, -0.0417, 0.0208, 0.063, 0.0855], "9,2": [0.1778, 0.0154, -0.0496, 0.0128, 0.0725, 0.0921], "9,3": [0.1896, 0.1123, -0.0676, -0.0068, 0.0617, 0.1229], "9,4": [-0.0178, -0.1186, 0.0445, 0.0636, -0.0053, 0.2125], "9,5": [0.058, -0.0776, 0.0566, 0.0433, 0.0121, 0.0574], "9,6": [0.1634, 0.0091, -0.0532, 0.0304, 0.0688, 0.0686], "10,0": [0.1591, -0.0826, 0.0116, 0.005, 0.0392, -0.0262], "10,1": [0.0867, -0.0011, -0.0445, -0.0084, 0.0447, -0.0083], "10,2": [-0.0223, -0.0288, -0.053, 0.0276, 0.004, 0.0232], "10,3": [0.0203, -0.0289, -0.0715, 0.0179, 0.0102, 0.0786], "10,4": [-0.0088, 0.0199, 0.0134, 0.0176, 0.0013, 0.1057], "10,5": [0.0652, -0.0297, 0.0148, 0.0027, 0.0056, 0.0324], "10,6": [0.0179, -0.0555, -0.0378, 0.0102, 0.0085, 0.0359], "11,0": [0.0183, 0.009, 0.0089, 0.0134, 0.0035, 0.0731], "11,1": [0.081, 0.0899, -0.0151, 0.001, 0.0285, 0.0775], "11,2": [0.0404, 0.0663, -0.0381, 0.0011, 0.0247, 0.0697], "11,3": [0.035, -0.0165, -0.0365, 0.029, 0.0209, 0.1202], "11,4": [-0.0652, -0.0229, 0.0065, -0.0105, 0.011, 0.1033], "11,5": [0.0131, 0.0213, 0.019, 0.0035, 0.0057, 0.0651], "11,6": [0.1008, -0.0501, -0.0069, 0.0241, 0.0255, 0.0358], "12,0": [0.0224, -0.0252, -0.0287, -0.001, 0.0205, 0.0364], "12,1": [0.0275, -0.0454, -0.004, -0.0023, 0.0162, 0.0307], "12,2": [-0.0488, -0.0331, -0.0045, 0.0171, -0.0149, 0.0444], "12,3": [-0.0429, 0.0333, 0.0153, -0.0027, -0.0156, 0.0581], "12,4": [0.0605, 0.0119, 0.1506, 0.0172, 0.008, 0.0808], "12,5": [-0.1018, 0.0218, 0.0638, 0.0434, -0.0457, 0.1138], "12,6": [-0.0377, 0.0198, -0.0022, 0.0184, -0.0182, 0.0908], "13,0": [-0.003, -0.0152, -0.0025, 0.001, 0.0053, 0.0434], "13,1": [-0.0496, 0.0126, 0.0603, -0.0145, -0.0151, 0.0629], "13,2": [-0.0138, -0.0159, 0.0523, 0.0392, 0.0108, 0.0891], "13,3": [-0.1127, -0.0211, 0.0772, 0.0237, -0.0307, 0.0743], "13,4": [-0.0352, -0.0458, -0.0039, 0.0118, -0.0109, 0.0187], "13,5": [-0.0269, 0.0128, -0.0384, 0.0184, -0.0571, 0.1309], "13,6": [-0.0041, -0.0209, 0.0078, 0.0206, -0.0051, 0.0478], "14,0": [-0.0157, 0.0266, -0.0183, -0.0102, -0.0034, 0.0509], "14,1": [0.0917, -0.0374, -0.0949, 0.03, 0.0356, 0.0864], "14,2": [-0.0796, -0.0142, -0.1022, 0.0335, -0.003, 0.0848], "14,3": [0.0496, 0.0158, -0.0268, -0.0043, 0.0356, 0.0149], "14,4": [0.0142, -0.0539, -0.054, 0.0513, 0.0121, 0.1068], "14,5": [0.0026, -0.0505, 0.0364, 0.0509, 0.0118, 0.1197], "14,6": [0.05, -0.0592, 0.0009, 0.0526, 0.0114, 0.1385], "15,0": [-0.0607, 0.0089, 0.0219, 0.0105, -0.0141, 0.0906], "15,1": [-0.0495, -0.0256, 0.0037, 0.0126, -0.0149, 0.0679], "15,2": [-0.0663, 0.0027, -0.0023, 0.0211, -0.0192, 0.0966], "15,3": [-0.034, -0.0166, 0.0408, 0.0176, -0.011, 0.0909], "15,4": [-0.0544, -0.0246, 0.0199, 0.0214, -0.0038, 0.0874], "15,5": [-0.0932, -0.0145, -0.0326, 0.0174, -0.0154, 0.0955], "15,6": [-0.0825, -0.0322, 0.0429, 0.0185, -0.0189, 0.0897], "15,7": [-0.0639, -0.0196, -0.0596, 0.0177, -0.0139, 0.0837], "15,8": [-0.041, -0.0353, -0.0013, 0.0246, -0.0109, 0.089], "15,9": [-0.0301, -0.0395, 0.0411, 0.0157, -0.0095, 0.0689], "16,0": [-0.0358, -0.0239, 0.0011, 0.0129, -0.0113, 0.0615], "16,1": [-0.0447, 0.0033, -0.0663, 0.0234, 0.0083, 0.0499], "16,2": [-0.0019, -0.0538, 0.0331, 0.0191, -0.0015, 0.0486], "16,3": [-0.8871, -0.7129, 0.1504, 0.1957, -0.1807, 0.16], "16,4": [-1.2303, -0.2151, 0.2735, 0.1159, -0.1889, 0.2982], "16,5": [-0.9125, -0.5298, 0.1406, 0.1398, -0.1669, 0.1637], "16,6": [0.0766, -0.028, 0.0337, 0.0527, 0.0302, 0.1208], "17,0": [-0.2615, -0.0355, -0.0415, 0.0401, -0.0423, 0.0871], "17,1": [0.1015, -0.0303, -0.0413, 0.0142, 0.0611, 0.0952], "17,2": [0.0835, 0.0127, -0.0234, 0.0027, 0.0247, 0.0804], "17,3": [0.1054, 0.0394, -0.0237, 0.041, 0.0397, 0.097], "17,4": [0.1282, -0.0265, -0.0065, 0.0304, 0.043, 0.1065], "17,5": [0.0634, -0.0148, -0.0063, 0.0248, 0.0197, 0.0537], "17,6": [-0.0729, 0.0403, 0.0363, 0.0168, -0.0008, 0.0646], "18,0": [-0.1073, -0.0356, -0.0526, 0.0092, -0.0317, 0.0982], "18,1": [-0.1404, 0.0258, 0.0056, 0.0105, -0.0316, 0.0394], "18,2": [0.3506, -0.0149, -0.0672, -0.0013, 0.1002, 0.0415], "18,3": [0.2787, -0.0837, -0.0755, -0.0133, 0.1195, -0.0796], "18,4": [0.2218, 0.2745, -0.0153, -0.0761, 0.0672, 0.0733], "18,5": [-0.9824, -0.0428, 0.0533, 0.0509, -0.1531, 0.2834], "18,6": [-0.1659, -0.0403, -0.0768, 0.0315, -0.0418, 0.0541], "19,0": [-0.1738, -0.0525, 0.0252, 0.0238, -0.0517, 0.0559], "19,1": [-0.0667, -0.0174, -0.0648, 0.0202, -0.016, 0.0701], "19,2": [-0.0265, 0.0803, -0.0466, -0.0098, -0.0056, 0.0883], "19,3": [-0.0071, 0.0818, 0.1474, -0.0081, -0.0193, 0.0884], "19,4": [-0.1259, 0.0381, 0.0355, -0.0016, -0.0375, 0.049], "19,5": [-0.1379, 0.0742, -0.0683, 0.0049, -0.0266, 0.091], "19,6": [-0.0561, -0.0447, 0.051, 0.0224, -0.0274, 0.0628], "20,0": [0.0271, 0.0389, 0.01, 0.0169, 0.0107, 0.0775], "20,1": [0.0285, -0.0408, -0.0498, 0.0161, 0.0112, 0.0668], "20,2": [0.0167, -0.0148, 0.0392, 0.0395, 0.0085, 0.1201], "20,3": [-0.0004, -0.0259, 0.0025, 0.0175, 0.0074, 0.0699], "20,4": [-0.091, -0.039, -0.0792, 0.0366, -0.0194, 0.0856], "21,0": [-0.0686, -0.0328, 0.0044, 0.0195, -0.0051, 0.0805], "21,1": [0.1858, -0.0573, -0.0545, 0.0068, 0.0187, 0.0093], "21,2": [0.0827, -0.031, -0.0128, 0.0067, 0.0347, 0.0697], "21,3": [0.0122, 0.0064, -0.0101, 0.0076, 0.0168, 0.079], "21,4": [0.0705, -0.0378, -0.0432, -0.0416, 0.0324, -0.2339], "21,5": [-0.0031, 0.0008, -0.1849, -0.0621, 0.0239, -0.2392], "22,0": [-0.084, -0.0806, 0.2712, 0.0274, -0.0282, 0.0431], "22,1": [0.0616, -0.0052, 0.0053, 0.0201, 0.0262, 0.0818], "22,2": [0.1287, 0.0335, -0.0224, 0.0256, 0.0511, 0.0811], "22,3": [0.0719, -0.0523, 0.0085, 0.0321, 0.0265, 0.1234], "22,4": [0.1641, -0.0571, -0.0662, 0.0468, 0.0551, 0.1149], "22,5": [0.1426, 0.1161, -0.0184, 0.0137, 0.0406, 0.1192], "23,0": [0.3359, -0.3602, -0.0476, 0.0442, -0.03, 0.1489], "23,1": [0.4284, -0.1522, 0.0166, 0.0378, -0.0725, 0.1083], "23,2": [0.286, -0.263, -0.0578, 0.045, -0.0223, 0.065], "23,3": [0.3248, -0.3212, 0.0235, 0.0612, -0.0249, 0.0898], "23,4": [0.5789, -0.2821, 0.0017, 0.0003, -0.0822, 0.1744], "24,0": [0.6739, -0.4166, -0.0584, -0.0226, -0.1418, 0.153], "24,1": [0.383, -0.3914, -0.0178, 0.0194, -0.0765, 0.093], "24,2": [0.2348, 0.4199, 0.0062, 0.0533, -0.0194, 0.1157], "24,3": [0.332, -0.0972, -0.0297, 0.0215, -0.0515, 0.1304], "24,4": [0.6005, -0.4745, -0.0066, -0.0227, -0.1302, 0.167], "25,0": [0.484, -0.01, 0.0151, 0.0418, -0.1014, 0.1836], "26,0": [-1.1271, -0.083, 0.2061, 0.0443, -0.166, 0.2928], "26,1": [-0.3464, 0.2415, 0.1481, 0.0287, 0.0235, 0.0718], "26,2": [-0.9897, 0.5551, 0.0959, 0.0285, 0.0501, 0.0168], "26,3": [0.2475, 1.625, -0.4333, 0.1966, -0.5516, -0.1962], "26,4": [-0.3588, 0.5878, 0.2232, -0.1209, -0.0041, -0.1447], "27,0": [-0.4433, 0.6852, 0.0442, 0.1283, -0.0025, 0.1097], "27,1": [0.1018, 0.9045, -0.0497, 0.0982, -0.0442, 0.0584], "27,2": [0.0586, -0.0229, -0.0221, 0.0502, -0.0694, 0.1013], "27,3": [0.5806, 0.1394, -0.0898, 0.0834, -0.0762, 0.0597], "27,4": [0.5359, 0.6827, -0.099, 0.0563, -0.0893, 0.0109], "28,0": [0.5515, -0.2156, -0.1614, -0.0089, -0.0558, 0.081], "28,1": [0.3073, -0.3465, -0.0933, -0.0335, 0.0156, 0.1108], "28,2": [0.5473, -0.5556, -0.0418, -0.0945, -0.0378, 0.122], "28,3": [0.4013, -0.7974, -0.0932, -0.1195, 0.0126, 0.085], "28,4": [0.3776, -0.8862, 0.0283, -0.0856, -0.0119, 0.0625], "28,5": [0.0838, -0.7878, 0.0038, -0.0711, 0.0237, 0.0757], "28,6": [0.5863, -1.2638, -0.0564, -0.1118, 0.0606, 0.0439], "29,0": [0.4917, 0.0888, -0.0401, 0.0864, -0.1095, 0.1275], "29,1": [0.8443, -0.5113, -0.0952, -0.0004, -0.1472, 0.0871], "29,2": [0.6304, -0.183, -0.1614, -0.0047, -0.1315, 0.2211], "29,3": [0.7516, 0.3153, -0.1729, 0.084, -0.1408, 0.1313], "29,4": [0.4702, 0.1417, 0.0482, 0.1126, -0.144, 0.1307], "30,0": [0.0221, -0.033, -0.013, 0.0178, 0.0073, 0.055], "30,1": [0.0054, -0.042, 0.0129, 0.0164, -0.0112, 0.0788], "30,2": [-0.004, -0.0191, 0.0432, 0.02, 0.0017, 0.0747], "30,3": [-0.0076, 0.0035, 0.0367, 0.0116, -0.0046, 0.1044], "30,4": [0.0462, -0.0672, 0.0301, 0.0326, 0.011, 0.1036], "31,0": [0.01, -0.0506, 0.0032, 0.0196, 0.0055, 0.0739], "31,1": [-0.0178, -0.0439, -0.0301, 0.02, -0.0041, 0.0765], "31,2": [-0.0189, -0.0581, 0.0186, 0.0181, -0.0019, 0.0739], "31,3": [-0.0115, 0.0055, 0.0071, 0.0246, 0.0053, 0.0846], "31,4": [0.0191, 0.0193, 0.0252, 0.01, 0.0025, 0.0677], "31,5": [-0.0063, -0.0894, -0.075, 0.0645, 0.0056, 0.0957], "31,6": [-0.0409, 0.0078, -0.0114, 0.0471, 0.0046, 0.1348], "32,0": [0.0084, -0.0806, -0.0221, 0.044, 0.0118, 0.1371], "32,1": [0.0091, -0.0469, -0.0861, 0.0416, 0.0121, 0.2104], "32,2": [-0.0762, -0.0728, 0.1624, 0.0256, -0.0227, 0.042], "32,3": [-0.1295, -0.0453, 0.0073, 0.0281, -0.0327, 0.0472], "32,4": [0.0607, -0.0261, 0.0069, 0.0504, 0.0032, 0.1881], "33,0": [-0.0454, 0.0238, 0.0373, 0.0224, -0.0039, 0.0792], "33,1": [-0.1178, -0.0198, 0.0051, 0.0237, -0.0307, 0.0778], "33,2": [-0.1926, -0.0064, -0.0331, 0.0249, -0.0507, 0.0787], "33,3": [-0.0603, 0.0677, 0.0605, 0.0473, -0.017, 0.1199], "33,4": [-0.0701, -0.023, -0.0507, 0.0258, -0.0153, 0.0971], "34,0": [-0.11, -0.0274, -0.0887, 0.0267, -0.0196, 0.1179], "34,1": [-0.1149, -0.015, -0.0692, 0.0454, -0.0233, 0.1501], "34,2": [-0.0824, 0.0012, -0.0891, 0.0374, -0.0203, 0.1002], "34,3": [-0.0751, 0.0222, -0.0077, 0.0215, -0.0195, 0.0804], "34,4": [-0.0066, -0.0622, 0.083, 0.0305, 0.0021, 0.1027]}, "butt": -0.19, "roll": {"e1": [0.95371, 0.00697, -0.30064], "ref": 623, "phi": {"0,0": 3.6652, "0,1": 3.5605, "0,2": 3.5605, "0,3": 3.351, "0,4": 3.351, "0,5": 3.351, "0,6": 3.351, "0,7": 3.2463, "0,8": 3.0369, "0,9": 2.9322, "1,0": 3.4558, "1,1": 3.351, "1,2": 3.2463, "1,3": 3.4558, "1,4": 3.351, "1,5": 3.351, "1,6": 3.351, "1,7": 3.4558, "1,8": 3.6652, "1,9": 3.5605, "2,0": 3.9794, "2,1": 3.9794, "2,2": 3.9794, "2,3": 3.7699, "2,4": 3.6652, "2,5": 3.5605, "2,6": 3.6652, "2,7": 3.6652, "2,8": 3.8746, "2,9": 3.9794, "3,0": 3.7699, "3,1": 3.6652, "3,2": 3.4558, "3,3": 3.2463, "3,4": 3.2463, "3,5": 3.351, "3,6": 3.5605, "3,7": 3.7699, "3,8": 3.9794, "3,9": 4.0841, "4,0": 3.0369, "5,0": 3.8746, "5,1": 3.8746, "5,2": 3.9794, "5,3": 3.9794, "5,4": 4.0841, "6,0": 3.4558, "6,1": 3.5605, "6,2": 3.5605, "6,3": 3.6652, "6,4": 3.6652, "7,0": 3.9794, "8,0": 3.5605, "9,0": 4.5029, "9,1": 4.7124, "9,2": 4.8171, "9,3": 4.9218, "9,4": 5.0265, "9,5": 5.0265, "9,6": 5.0265, "10,0": 3.9794, "10,1": 3.9794, "10,2": 3.9794, "10,3": 3.9794, "10,4": 3.9794, "10,5": 3.9794, "10,6": 4.0841, "11,0": 4.3982, "11,1": 4.3982, "11,2": 4.1888, "11,3": 3.9794, "11,4": 3.6652, "11,5": 3.5605, "11,6": 3.4558, "12,0": 3.9794, "12,1": 3.9794, "12,2": 3.8746, "12,3": 3.6652, "12,4": 3.5605, "12,5": 3.5605, "12,6": 3.5605, "13,0": 4.0841, "13,1": 3.9794, "13,2": 3.8746, "13,3": 3.8746, "13,4": 3.8746, "13,5": 3.7699, "13,6": 3.5605, "14,0": 4.3982, "14,1": 4.5029, "14,2": 4.6077, "14,3": 4.3982, "14,4": 4.2935, "14,5": 4.1888, "14,6": 4.1888, "15,0": 4.3982, "15,1": 4.2935, "15,2": 4.3982, "15,3": 4.3982, "15,4": 4.3982, "15,5": 4.3982, "15,6": 4.3982, "15,7": 4.2935, "15,8": 4.2935, "15,9": 4.2935, "16,0": 1.5708, "16,1": 1.6755, "16,2": 1.7802, "16,3": 1.6755, "16,4": 1.5708, "16,5": 1.5708, "16,6": 1.3614, "17,0": 4.3982, "17,1": 4.2935, "17,2": 4.2935, "17,3": 4.2935, "17,4": 4.3982, "17,5": 4.5029, "17,6": 4.5029, "18,0": 3.9794, "18,1": 3.9794, "18,2": 3.9794, "18,3": 3.9794, "18,4": 3.9794, "18,5": 4.0841, "18,6": 4.1888, "19,0": 3.7699, "19,1": 3.351, "19,2": 3.0369, "19,3": 3.1416, "19,4": 3.4558, "19,5": 3.6652, "19,6": 3.7699, "20,0": 4.1888, "20,1": 4.1888, "20,2": 4.0841, "20,3": 3.9794, "20,4": 3.9794, "21,0": 4.2935, "21,1": 4.3982, "21,2": 4.5029, "21,3": 4.6077, "21,4": 4.8171, "21,5": 4.9218, "22,0": 4.1888, "22,1": 4.2935, "22,2": 4.2935, "22,3": 4.3982, "22,4": 4.6077, "22,5": 4.7124, "23,0": 5.236, "23,1": 5.236, "23,2": 5.236, "23,3": 5.236, "23,4": 5.236, "24,0": 5.3407, "24,1": 5.4454, "24,2": 5.5501, "24,3": 5.4454, "24,4": 5.3407, "25,0": 5.5501, "26,0": 5.4454, "26,1": 5.236, "26,2": 5.1313, "26,3": 4.9218, "26,4": 4.7124, "27,0": 3.6652, "27,1": 3.7699, "27,2": 3.8746, "27,3": 3.7699, "27,4": 3.7699, "28,0": 4.7124, "28,1": 4.8171, "28,2": 4.9218, "28,3": 4.9218, "28,4": 4.9218, "28,5": 5.0265, "28,6": 4.9218, "29,0": 5.236, "29,1": 5.236, "29,2": 5.3407, "29,3": 5.4454, "29,4": 5.236, "30,0": 3.7699, "30,1": 3.5605, "30,2": 3.4558, "30,3": 3.6652, "30,4": 3.7699, "31,0": 4.1888, "31,1": 4.1888, "31,2": 4.1888, "31,3": 4.1888, "31,4": 4.1888, "31,5": 4.1888, "31,6": 4.1888, "32,0": 4.3982, "32,1": 4.5029, "32,2": 4.6077, "32,3": 4.5029, "32,4": 4.3982, "33,0": 4.2935, "33,1": 4.1888, "33,2": 4.1888, "33,3": 4.0841, "33,4": 4.0841, "34,0": 4.6077, "34,1": 4.5029, "34,2": 4.3982, "34,3": 4.3982, "34,4": 4.3982}, "offsets": {"519": 0.1451, "526": 3.1655, "536": 2.8531, "583": 3.2287, "618": 6.032, "619": 3.1606, "620": 6.0062, "622": 6.1877, "623": 0.0375, "625": 6.1662, "627": 6.1272, "629": 2.9993, "630": 6.0571, "637": 0.0177, "639": 6.0996, "640": 3.1215, "642": 2.8107, "643": 6.0742, "931": 3.2279, "940": 3.1707, "952": 2.8607, "954": 2.934, "955": 0.2628, "959": 3.3215, "960": 3.0767, "961": 2.9879, "972": 2.3999}}}} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_motion_add.py b/third_party/UO_Model3D_v13/pipeline/weapon_motion_add.py new file mode 100644 index 0000000..17d04c9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_motion_add.py @@ -0,0 +1,21 @@ +"""Put a class fitted by `weapon_fit.py class` into weapon_motion.json (the calibration the weapon bones of uo_weapon_bones.py are keyed from). + + python weapon_motion_add.py CLASS.json weapon_motion.json BONE PARENT +e.g. python weapon_motion_add.py class1h.json weapon_motion.json weapon1h.R hand.R +Entry: the bone sits at `pivot` (point of the class line nearest to the origin of the hand bone, hand space) and `dir` is the line; `anims` = extent (m along the +line, from the pivot) of every fitted weapon, `butt` = their median butt end (where uo_place_weapon.py puts the butt), `poses` = turn (rotation vector, rad) + +shift (m) in the hand axes for each (action, frame). +""" +import json, sys +import numpy as np + +cls, out, bone, parent = sys.argv[1:5] +C = json.load(open(cls)); R = C["rigid"] +p0 = np.array(R["p0"]); u = np.array(R["u"]); piv = p0 - u * (p0 @ u) +ex = {str(a): [round(float(x), 3) for x in e] for a, e in C["extents"].items()} +entry = dict(parent=parent, pivot=[round(float(x), 4) for x in piv], dir=[round(float(x), 4) for x in u], anims=ex, + chamfer={str(a): round(float(v), 2) for a, v in C["chamfer"].items()}, + poses={k: [round(float(x), 4) for x in v[0] + v[1]] for k, v in C["poses"].items()}, butt=round(float(np.median([e[0] for e in ex.values()])), 3)) +M = json.load(open(out)); M[bone] = entry +json.dump(M, open(out, "w"), separators=(",", ": ")) +print("%s: %d poses, butt %.3f m, chamfer %s" % (bone, len(entry["poses"]), entry["butt"], entry["chamfer"])) diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_pose_export.py b/third_party/UO_Model3D_v13/pipeline/weapon_pose_export.py new file mode 100644 index 0000000..33b3b6a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_pose_export.py @@ -0,0 +1,65 @@ +"""Export what the weapon calibration needs from the .blend: for each of the 210 UO poses and 5 directions, the world matrix of the hand +bones and the camera (world -> canvas pixels). Offline fits (weapon_fit.py) then run in numpy only. + + python weapon_pose_export.py ../model/UO_Body_0x190.blend OUT.npz [--canvas 256,256 --anchor 128,192] + +Writes: key (N,3) = (action, dir, frame); bones (names); BW (N,nb,4,4) world matrix of the pose bones in `bones`; PX (N,3,4) world -> pixels: +(x, y, depth) = PX @ (X, Y, Z, 1), x to the right and y down in canvas pixels (pixel (i, j) covers [i, i+1) x [j, j+1)). +""" +import sys, os +import numpy as np +import bpy + +STEP = 3 +BONES = ["hand.L", "hand.R", "forearm.L", "forearm.R", "shield.L"] + + +def main(): + args = sys.argv[1:] + blend, out = os.path.abspath(args.pop(0)), os.path.abspath(args.pop(0)) + CW, CH, CANCH = 256, 256, (128, 192) + while args: + a = args.pop(0) + if a == "--canvas": CW, CH = (int(x) for x in args.pop(0).split(",")) + elif a == "--anchor": CANCH = tuple(int(x) for x in args.pop(0).split(",")) + bpy.ops.wm.open_mainfile(filepath=blend) + sc = bpy.context.scene + rig = bpy.data.objects["UO_Rig"] + sc.camera = bpy.data.objects["UO_Camera"]; cd = sc.camera.data + cd.sensor_fit = "HORIZONTAL"; cd.ortho_scale = CW / sc.get("uo_px_per_m", 36.0); cd.shift_x = cd.shift_y = 0.0 + sc.render.resolution_x, sc.render.resolution_y, sc.render.resolution_percentage = CW, CH, 100 + + def cam_matrix(): + bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get(); cam = sc.camera.evaluated_get(dg) + return np.array(cam.calc_matrix_camera(dg, x=CW, y=CH)) @ np.array(cam.matrix_world.inverted()) + + def anchor_px(): + P = cam_matrix() @ np.array([0.0, 0.0, sc.get("uo_anchor_height", 0.07), 1.0]) + return np.array([(P[0] / P[3] + 1) * 0.5 * CW, (1 - P[1] / P[3]) * 0.5 * CH]) + + p0 = anchor_px(); cd.shift_x = cd.shift_y = 0.01; p1 = anchor_px(); k = (p1 - p0) / 0.01 + want = np.array(CANCH, float) + (np.array(sc.get("uo_anchor_px", (68.5, 86.0))) - np.array((68, 86))) + sh = (want - p0) / k; cd.shift_x, cd.shift_y = float(sh[0]), float(sh[1]) + assert np.abs(anchor_px() - want).max() < 1e-3 + bones = [b for b in BONES if b in rig.pose.bones] + acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) + keys, BW, PX = [], [], [] + for act in acts: + rig.animation_data.action = act + for d in range(5): + rig["uo_direction"] = d + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + i * STEP); rig.update_tag(); bpy.context.view_layer.update() + M = cam_matrix(); Rw = np.array(rig.matrix_world) + assert np.abs(M[3] - [0, 0, 0, 1]).max() < 1e-9 # orthographic + # orthographic: w stays 1; pixel x = (ndc_x + 1) / 2 * CW, y = (1 - ndc_y) / 2 * CH, depth = -view z + V = np.array(sc.camera.evaluated_get(bpy.context.evaluated_depsgraph_get()).matrix_world.inverted()) + px = np.stack([(M[0] + M[3]) * 0.5 * CW, (M[3] - M[1]) * 0.5 * CH, -V[2]]) + keys.append((int(act["uo_action"]), d, i)); PX.append(px) + BW.append([Rw @ np.array(rig.pose.bones[b].matrix) for b in bones]) + print("action", act["uo_action"], "done", flush=True) + np.savez_compressed(out, key=np.array(keys), bones=np.array(bones), BW=np.array(BW), PX=np.array(PX), canvas=np.array([CW, CH]), anchor=np.array(CANCH)) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_roll_apply.py b/third_party/UO_Model3D_v13/pipeline/weapon_roll_apply.py new file mode 100644 index 0000000..96094ee --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_roll_apply.py @@ -0,0 +1,48 @@ +"""Write the measured roll of the weapon classes into weapon_motion.json (field "roll" of every class): + + python weapon_roll_apply.py ROLLDIR [--motion weapon_motion.json] + +roll = { "e1": reference vector in the hand frame (hand X without its part along the class line), "phi": {"action,frame": rad}, "ref": anim id of the +reference weapon, "offsets": {anim id: rad} } -- the head of a weapon lies in the plane spanned by the class line and Rot_line(phi + offset) e1 (the wide +side of the blade, the bit of an axe at +). uo_weapon_bones.py composes phi into the keyed turn of the weapon bone; uo_place_weapon.py turns a new weapon +about its shaft by the offset of the original weapon it should look like (REF_ANIM). Only weapons with a trustworthy offset are listed (class roll fits the +sprite clearly better than one fixed roll). +""" +import os, sys, json, glob +import numpy as np + +HERE = os.path.dirname(os.path.abspath(__file__)) + + +def e1_of(u): + u = np.array(u, float); u /= np.linalg.norm(u) + for x in ([1.0, 0, 0], [0, 1.0, 0]): + e = np.array(x) - (np.array(x) @ u) * u + if np.linalg.norm(e) > 0.3: + return (e / np.linalg.norm(e)).tolist() + + +def main(): + rolldir = sys.argv[1]; motion = os.path.join(HERE, "weapon_motion.json") + if "--motion" in sys.argv: + motion = sys.argv[sys.argv.index("--motion") + 1] + WM = json.load(open(motion)) + for f in sorted(glob.glob(os.path.join(rolldir, "roll_*.json"))): + R = json.load(open(f)); cls = R["cls"] + if len(R["core"]) < 3: # bows: no weapon with a measurable roll, the class roll fits worse than none + print(cls, "skipped: only", len(R["core"]), "weapon(s) with a measurable roll"); continue + offs = {} + for a, w in R["weapons"].items(): + if w.get("cls_mismatch") is None: + continue + gain = (w["class_const"] - w["cls_mismatch"]) / max(w["class_const"], 1e-9) + if gain >= 0.1 and w["chamfer"] <= 2.2: + offs[a] = round(float(np.deg2rad(w["delta_deg"])), 4) + WM[cls]["roll"] = dict(e1=[round(x, 5) for x in e1_of(WM[cls]["dir"])], ref=R["core"][0], + phi={k: round(float(np.deg2rad(v)), 4) for k, v in R["phi"].items()}, offsets=offs) + print(cls, "ref", R["core"][0], "roll for", len(R["phi"]), "poses, offsets for", len(offs), "weapons") + json.dump(WM, open(motion, "w")) + + +if __name__ == "__main__": + main() diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_roll_fit.py b/third_party/UO_Model3D_v13/pipeline/weapon_roll_fit.py new file mode 100644 index 0000000..590b6af --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_roll_fit.py @@ -0,0 +1,150 @@ +"""Roll of every original weapon about its own axis (the turn of a blade / axe head about the shaft), measured from the sprites of anim..anim5. + + python weapon_roll_fit.py WP.npz VDROOT META.json CLASSIFY.json OUTDIR [--procs 4] [--classes polearm.L,axe2h.L,...] [--anims 611,612] + inputs: weapon_pose_export.py (WP.npz), mul2vd.py vd files (VDROOT//anim_.vd), META.json + CLASSIFY.json from weapon_classify.py + output: OUTDIR/roll_.json { phi: {"action,frame": degrees}, weapons: {anim id: {...}} }, OUTDIR/w_.pkl (per-weapon cache) + +Method (weapon_roll_lib.py): a weapon = shaft on the class line (weapon_motion.json) + a FLAT head T(s, u) (blade, axe head, spear leaf, bow limbs) that is +turned about the shaft by the roll phi. For each weapon the roll of every one of the 210 poses is found (all 5 directions share it) by (1) the projected +sprite area, (2) the side the head sticks out to, (3) alternating: learn the plate T as the cells that stay inside the sprite in 85% of the views, and +dynamic programming of the roll along each action (cost: pixels of the plate and the sprite further than 1 px from each other + smoothness). Weapons of one +class then share ONE roll per pose (it is the turn of the hand, our hand bone is only as good as the silhouette) and differ by a constant offset each. +""" +import os, sys, json, time, pickle +import numpy as np +from multiprocessing import Pool + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, HERE) +import weapon_roll_lib as L # noqa: E402 + +NOT_WEAPON = { # held things that have their own bone / role: shields, books, lights + "shield": [576, 577, 578, 579, 580, 581, 582, 605, 992, 993, 1263, 1265, 1529, 1571], + "book": [877, 878, 879, 880, 882, 883, 884, 984, 1062], + "light": [500, 501, 502, 503, 504, 505, 1544, 1545, 1550], +} +SKIP = {a: k for k, v in NOT_WEAPON.items() for a in v} +INFO_MIN = 0.15 # (const - fit) / const: how much a per-pose roll helps over one fixed roll = how much roll there is to measure +TOL2_CHAMFER = 1.5 # px: from this class-line error on the tolerance of the comparison is 2 px instead of 1 px +CHAMFER_MAX = 2.2 # px: weapons whose class line is worse than this do not enter the class estimate + + +def load(args): + wp, vdroot, meta, aid = args + pose = _pose(wp); m = meta[str(aid)] + masks, _ = L.load_masks(pose, os.path.join(vdroot, m["file"], "anim_%04d.vd" % m["local"])) + return pose, masks + + +_POSE = {} +def _pose(wp): + if wp not in _POSE: + _POSE[wp] = L.Pose(wp) + return _POSE[wp] + + +def stage1(job): + wp, vdroot, meta, aid, cls, ext, outdir, tol = job + path = os.path.join(outdir, "w_%d.pkl" % aid) + if os.path.exists(path): + return pickle.load(open(path, "rb")) + t0 = time.time(); WM = json.load(open(os.path.join(HERE, "weapon_motion.json"))) + pose, masks = load((wp, vdroot, meta, aid)) + G = L.ClassGeom(pose, WM[cls], cls) + f = L.fit_single(pose, G, masks, ext, tol=tol) + cm, c0 = L.const_mismatch(f["P"], f["T"]) + res = dict(aid=aid, cls=cls, ext=ext, tol=tol, phi_pose=f["phi_pose"], T=f["T"], hist=f["hist"], const=cm, const_phi=c0, fit=f["hist"][-1] if f["hist"] else None, + area_rms=f["area_rms"], views=int(len(f["P"].ok)), sprite_area=float(f["P"].crop.reshape(len(f["P"].crop), -1).sum(1)[f["P"].ok].mean())) + pickle.dump(res, open(path, "wb")) + print("stage1 %d %s: const-roll %.1f -> per-pose %.1f px/view (%.0fs)" % (aid, cls, cm, res["fit"] or -1, time.time() - t0), flush=True) + return res + + +def stage3(job): + """a weapon against the class roll: offset by a local scan (plate re-learned), mismatch with the class roll""" + wp, vdroot, meta, aid, cls, phi_cls, res, outdir = job + WM = json.load(open(os.path.join(HERE, "weapon_motion.json"))) + pose, masks = load((wp, vdroot, meta, aid)) + G = L.ClassGeom(pose, WM[cls], cls); P = L.PlateFit(pose, G, masks, res["ext"], tol=res.get("tol", 1)); pk = L.pose_groups(pose, P.ok) + d0 = [res["phi_pose"][k] - phi_cls[k] for k in pk if k in phi_cls and k in res["phi_pose"]] + r1, r2 = abs(np.exp(1j * np.array(d0)).mean()), abs(np.exp(2j * np.array(d0)).mean()) + delta = L.circ_mean(np.exp(2j * np.array(d0))) / 2 if r1 < 0.8 * r2 else L.circ_mean(np.exp(1j * np.array(d0))) + best = None + for dd in np.deg2rad(np.arange(-12, 13, 6)): + pv = np.zeros(len(pose.key)) + for k, ns in pk.items(): + pv[ns] = phi_cls.get(k, 0.0) + delta + dd + T = P.learn(pv, thr=0.85)[0] + if len(T) < 5: + continue + mm = L.mismatch(P, T, pv) + if best is None or mm < best[0]: + best = (mm, delta + dd, T) + out = dict(res) + if best: + np.save(os.path.join(outdir, "cells_%d.npy" % aid), best[2].astype(np.float32)) + cm2, c2 = L.const_mismatch(P, best[2]) + out.update(class_mismatch=float(best[0]), delta=float(best[1]), consistency360=float(r1), consistency180=float(r2), class_const=cm2, const_abs=c2) + print("stage3 %d: class roll %.1f (const %.1f, own %.1f)" % (aid, out.get("class_mismatch", -1), res["const"], res["fit"] or -1), flush=True) + return out + + +if __name__ == "__main__": + a = sys.argv[1:] + wp, vdroot, metaf, clsf, outdir = a[:5] + procs = int(a[a.index("--procs") + 1]) if "--procs" in a else 4 + only_cls = a[a.index("--classes") + 1].split(",") if "--classes" in a else None + only = {int(x) for x in a[a.index("--anims") + 1].split(",")} if "--anims" in a else None + os.makedirs(outdir, exist_ok=True) + meta = json.load(open(metaf)); C = json.load(open(clsf)) + jobs = [] + for aid, c in sorted(C.items(), key=lambda kv: int(kv[0])): + aid = int(aid) + if aid in SKIP or (only and aid not in only): + continue + cls = c["best"] + if only_cls and cls not in only_cls: + continue + jobs.append((wp, vdroot, meta, aid, cls, tuple(c["classes"][cls]["extent"]), outdir, 2 if c["classes"][cls]["chamfer"] >= TOL2_CHAMFER else 1)) + print(len(jobs), "weapons") + with Pool(procs) as p: + res1 = p.map(stage1, jobs, chunksize=1) + by = {} + for r in res1: + by.setdefault(r["cls"], []).append(r) + pose = _pose(wp); WM = json.load(open(os.path.join(HERE, "weapon_motion.json"))) + for cls, lst in by.items(): + info = {r["aid"]: max(0.0, (r["const"] - r["fit"]) / r["const"]) if r["fit"] else 0.0 for r in lst} + cand = [r for r in lst if info[r["aid"]] >= INFO_MIN and C[str(r["aid"])]["classes"][cls]["chamfer"] <= CHAMFER_MAX] + if len(cand) < 2: + print(cls, "too few informative weapons", [(r["aid"], round(info[r["aid"]], 2)) for r in lst], flush=True) + continue + # reference = the weapon the others agree with most (full 360 deg: its head has a side, so the sign of the roll is known); core = those that + # agree with it mod 180 + def agree(r1, r2, m): + ks = sorted(set(r1["phi_pose"]) & set(r2["phi_pose"])); d = np.array([r1["phi_pose"][k] - r2["phi_pose"][k] for k in ks]) + return abs(np.exp(m * 1j * d).mean()) + score = [sum(info[o["aid"]] * agree(r, o, 1) for o in cand) for r in cand] + ref = cand[int(np.argmax(score))] + core = [ref] + sorted([r for r in cand if r is not ref and agree(ref, r, 2) >= 0.7], key=lambda r: -info[r["aid"]])[:9] + print(cls, "reference", ref["aid"], "core weapons:", [(r["aid"], round(info[r["aid"]], 2)) for r in core], flush=True) + G = L.ClassGeom(pose, WM[cls], cls); fits = [] + for r in core: + pose_, masks = load((wp, vdroot, meta, r["aid"])) + P = L.PlateFit(pose, G, masks, r["ext"], tol=r.get("tol", 1)); pk = L.pose_groups(pose, P.ok) + fits.append(dict(P=P, pk=pk, phi_pose=r["phi_pose"], aid=r["aid"])) + w = [info[r["aid"]] for r in core] + phi, delta, sym = L.merge_class(fits, weights=w, ref=0) + phi, delta, Ts = L.refine_class(pose, fits, phi, delta, log=print, weights=w) + print(cls, "core offsets (deg):", {f["aid"]: int(round(np.rad2deg(d))) for f, d in zip(fits, delta)}, flush=True) + jobs3 = [(wp, vdroot, meta, r["aid"], cls, phi, r, outdir) for r in lst] + with Pool(procs) as p: + res3 = p.map(stage3, jobs3, chunksize=1) + out = dict(cls=cls, core=[r["aid"] for r in core], + phi={"%d,%d" % k: float(np.rad2deg(v)) for k, v in sorted(phi.items())}, + weapons={str(r["aid"]): dict(name=meta[str(r["aid"])]["name"], chamfer=C[str(r["aid"])]["classes"][cls]["chamfer"], info=info[r["aid"]], + const=r["const"], own=r["fit"], cls_mismatch=r.get("class_mismatch"), class_const=r.get("class_const"), + const_abs_deg=float(np.rad2deg(r.get("const_abs", 0))) % 360, delta_deg=float(np.rad2deg(r.get("delta", 0))) % 360, + consistency360=r.get("consistency360"), consistency180=r.get("consistency180"), sprite_area=r["sprite_area"], + core=r["aid"] in [c_["aid"] for c_ in core]) for r in res3}) + json.dump(out, open(os.path.join(outdir, "roll_%s.json" % cls.replace(".", "_")), "w"), indent=1) diff --git a/third_party/UO_Model3D_v13/pipeline/weapon_roll_lib.py b/third_party/UO_Model3D_v13/pipeline/weapon_roll_lib.py new file mode 100644 index 0000000..518c55f --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/weapon_roll_lib.py @@ -0,0 +1,369 @@ +"""Roll of a weapon about its own axis, measured from the original sprites (anim.mul ... anim5.mul). + +A weapon is a shaft (the class line of weapon_motion.json, moved per pose by the class motion) with a head / blade that is NOT round: the flat of +a blade, an axe head, a halberd head. The shaft alone cannot show how the weapon is turned about itself; the projected AREA of the sprite can: a flat +blade whose normal points at the camera shows its full face, one turned edge-on shows only a sliver. This library loads the sprites + the exported poses +(weapon_pose_export.py) and gives, for any roll angle, the geometry of the weapon in every one of the 1050 views. +numpy / scipy only. +""" +import os, sys, json +import numpy as np + +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "..", "vdtool")) +import vdtool # noqa: E402 + +CLASS_BONE = {"polearm.L": "hand.L", "axe2h.L": "hand.L", "bow.L": "hand.L", "weapon1h.R": "hand.R"} + + +def rodrigues(r): + r = np.asarray(r, float); a = np.linalg.norm(r) + if a < 1e-12: + return np.eye(3) + k = r / a; K = np.array([[0, -k[2], k[1]], [k[2], 0, -k[0]], [-k[1], k[0], 0]]) + return np.eye(3) + np.sin(a) * K + (1 - np.cos(a)) * K @ K + + +def axis_rot(u, phi): + return rodrigues(np.asarray(u, float) / np.linalg.norm(u) * phi) + + +class Pose: + """exported poses of the model: world matrices of the hand bones, camera, view directions""" + + def __init__(self, npz): + d = np.load(npz) + self.bones = [str(b) for b in d["bones"]]; self.key = d["key"]; self.BW = d["BW"]; self.PX = d["PX"] + self.W, self.H = (int(x) for x in d["canvas"]); self.anchor = tuple(int(x) for x in d["anchor"]) + v = self.PX[:, 2, :3]; self.view = v / np.linalg.norm(v, axis=1, keepdims=True) # world direction of looking (depth grows along it) + self.index = {(int(a), int(dd), int(i)): n for n, (a, dd, i) in enumerate(self.key)} + + def bone_world(self, bone): + M = self.BW[:, self.bones.index(bone)].copy() + M[:, :3, :3] /= np.linalg.norm(M[:, :3, :3], axis=1, keepdims=True) # without the pose scale (child bones inherit none) + return M + + +def load_masks(pose, vd_path, action_filter=None): + """sprite masks (and rgb) on the canvas of the poses for all (action, dir, frame) present; returns arrays aligned to pose.key (mask all-False if absent)""" + _, blocks = vdtool.read_vd(vd_path) + blk = {(b["action"], b["dir"]): b for b in blocks} + N = len(pose.key); masks = np.zeros((N, pose.H, pose.W), bool); rgb = np.zeros((N, pose.H, pose.W, 3), np.uint8) + ax, ay = pose.anchor + for n, (a, d, i) in enumerate(pose.key): + b = blk.get((int(a), int(d))) + if b is None or i >= len(b["frames"]): + continue + f = b["frames"][i]; r = vdtool.frame_rgba(f, b["palette"]); h, w = r.shape[:2] + x0, y0 = ax - f["cx"], ay - f["cy"] - f["h"] + ys, xs = slice(max(y0, 0), min(y0 + h, pose.H)), slice(max(x0, 0), min(x0 + w, pose.W)) + if ys.stop > ys.start and xs.stop > xs.start: + sub = r[ys.start - y0:ys.stop - y0, xs.start - x0:xs.stop - x0] + masks[n, ys, xs] = sub[..., 3] > 0; rgb[n, ys, xs] = sub[..., :3] + return masks, rgb + + +class ClassGeom: + """class line + per-pose motion of weapon_motion.json: for every view the weapon frame (rotation, origin) in world""" + + def __init__(self, pose, wm, bone): + self.bone = bone; self.pose = pose + self.piv = np.array(wm["pivot"], float); self.u = np.array(wm["dir"], float); self.u /= np.linalg.norm(self.u) + self.M = pose.bone_world(CLASS_BONE[bone]) + # reference frame perpendicular to the axis: e1 = hand-local X without its axis part (fixed in the bone frame, so roll 0 is a bone-frame notion) + x = np.array([1.0, 0, 0]); e1 = x - (x @ self.u) * self.u + if np.linalg.norm(e1) < 0.3: + x = np.array([0, 1.0, 0]); e1 = x - (x @ self.u) * self.u + self.e1 = e1 / np.linalg.norm(e1); self.e2 = np.cross(self.u, self.e1) + N = len(pose.key) + self.R = np.zeros((N, 3, 3)); self.t = np.zeros((N, 3)) + for n, (a, d, i) in enumerate(pose.key): + p = wm["poses"].get("%d,%d" % (a, i), [0] * 6) + self.R[n] = rodrigues(p[:3]); self.t[n] = p[3:] + # axis in world + Rb = self.M[:, :3, :3] @ self.R # bone frame -> world, with the pose turn + self.Rw = Rb # weapon frame (before extra roll) -> world: columns Rb@e1_0 .. + self.d_w = Rb @ self.u # axis direction in world (N,3) + self.o_w = np.einsum("nij,nj->ni", self.M[:, :3, :3], self.piv + self.t) + self.M[:, :3, 3] # point of the axis (the pivot) in world + + def uv(self, phi): + """world directions of the in-plane (u) and normal (v) vectors of a flat head rolled by phi (N,) or scalar, about the axis""" + phi = np.broadcast_to(np.asarray(phi, float), (len(self.d_w),)) + c, s = np.cos(phi)[:, None], np.sin(phi)[:, None] + e1 = self.Rw @ self.e1; e2 = self.Rw @ self.e2 + return c * e1 + s * e2, -s * e1 + c * e2 + + def project_vec(self, vec): + """image 2-vector of world directions vec (N,3)""" + return np.einsum("nij,nj->ni", self.pose.PX[:, :2, :3], vec) + + +# --------------------------------------------------------------------------------------------------------------------------------------------- +# planar head model: the head / blade is a flat plate T(s, u) (s along the shaft, u across, both in m) turned about the shaft by phi +# --------------------------------------------------------------------------------------------------------------------------------------------- +from scipy import ndimage # noqa: E402 + +WIN = 128 # half... full size of the crop window per view (px) + + +class PlateFit: + """all views of one weapon (sprite masks cropped to windows) + the class geometry; learns the plate T for given rolls and scores rolls""" + + def __init__(self, pose, G, masks, ext, step=0.015, umax=0.36, tol=1): + self.pose, self.G, self.tol = pose, G, tol + area = masks.reshape(len(masks), -1).sum(1) + self.ok = np.nonzero(area > 5)[0]; ok = self.ok; n = len(ok) + Lm = pose.PX[:, :2, :3]; c0 = pose.PX[:, :2, 3] + self.c = np.einsum("nij,nj->ni", Lm, G.o_w) + c0 # pixel of the pivot point on the axis (N,2) + self.a = np.einsum("nij,nj->ni", Lm, G.d_w) # px per m along the axis + self.B1 = np.einsum("nij,nj->ni", Lm, G.Rw @ G.e1); self.B2 = np.einsum("nij,nj->ni", Lm, G.Rw @ G.e2) + # window per view: centred on the sprite + self.org = np.zeros((len(masks), 2), int); self.crop = np.zeros((len(masks), WIN, WIN), bool); self.dil = np.zeros((len(masks), WIN, WIN), bool) + for k in ok: + ys, xs = np.nonzero(masks[k]); cy, cx = int(ys.mean()), int(xs.mean()) + y0, x0 = cy - WIN // 2, cx - WIN // 2; self.org[k] = (x0, y0) + m = np.zeros((WIN, WIN), bool) + yy0, xx0 = max(y0, 0), max(x0, 0); yy1, xx1 = min(y0 + WIN, masks.shape[1]), min(x0 + WIN, masks.shape[2]) + m[yy0 - y0:yy1 - y0, xx0 - x0:xx1 - x0] = masks[k, yy0:yy1, xx0:xx1] + self.crop[k] = m; self.dil[k] = ndimage.binary_dilation(m, np.ones((2 * tol + 1, 2 * tol + 1), bool)) + self.step = step + s_lo, s_hi = ext + self.sg = np.arange(s_lo - 0.08, s_hi + 0.08, step); self.ug = np.arange(-umax, umax + 1e-9, step) + S, U = np.meshgrid(self.sg, self.ug, indexing="ij"); self.cells = np.stack([S.ravel(), U.ravel()], 1) # (nc, 2) + + def points(self, k_idx, cells, phi): + """pixel coordinates (n_views, n_cells, 2) in the crop windows of views k_idx for cells (nc,2) at roll phi (scalar or (n_views,))""" + phi = np.broadcast_to(np.asarray(phi, float), (len(k_idx),)) + c, s = np.cos(phi)[:, None], np.sin(phi)[:, None] + b = c * self.B1[k_idx] + s * self.B2[k_idx] # (n,2) px per m across, in the plate plane + x = self.c[k_idx][:, None, :] + cells[None, :, 0:1] * self.a[k_idx][:, None, :] + cells[None, :, 1:2] * b[:, None, :] + return x - self.org[k_idx][:, None, :] + + def learn(self, phis, thr=0.75, k_idx=None, dilate=True): + """plate = cells whose pixel lies in the (3x3 dilated) sprite in at least `thr` of the views; phis: roll per view (N,) (any array indexed by view)""" + k_idx = self.ok if k_idx is None else k_idx + hit = np.zeros(len(self.cells)) + for k in k_idx: + p = self.points(np.array([k]), self.cells, phis[k])[0] + xi = np.floor(p[:, 0]).astype(int); yi = np.floor(p[:, 1]).astype(int) + inside = (xi >= 0) & (xi < WIN) & (yi >= 0) & (yi < WIN) + h = np.zeros(len(self.cells), bool); h[inside] = (self.dil if dilate else self.crop)[k][yi[inside], xi[inside]] + hit += h + score = hit / len(k_idx) + return self.cells[score >= thr], score + + def cost(self, k_idx, T, phi_cands, tol=True): + """pixel count of the mismatch between the splatted plate T and the sprite, per view and candidate roll: (n_views, n_cand). + tol: a pixel only counts when it is more than 1 px (3x3) away from the other mask (the class line is only good to ~1 px)""" + out = np.zeros((len(k_idx), len(phi_cands))) + for j, k in enumerate(k_idx): + p = self.points(np.full(len(phi_cands), k), T, phi_cands) # (nphi, nT, 2) + xi = np.floor(p[..., 0]).astype(int); yi = np.floor(p[..., 1]).astype(int) + inside = (xi >= 0) & (xi < WIN) & (yi >= 0) & (yi < WIN) + img = np.zeros((len(phi_cands), WIN * WIN), bool) + ph = np.broadcast_to(np.arange(len(phi_cands))[:, None], xi.shape) + img[ph[inside], (yi * WIN + xi)[inside]] = True + if not tol: + out[j] = (img ^ self.crop[k].ravel()[None]).sum(1) + continue + im = img.reshape(-1, WIN, WIN); e = im + for _ in range(self.tol): # dilate the splat by tol px (square) + d = e.copy(); d[:, 1:] |= e[:, :-1]; d[:, :-1] |= e[:, 1:] + e = d.copy(); e[:, :, 1:] |= d[:, :, :-1]; e[:, :, :-1] |= d[:, :, 1:] + out[j] = (im & ~self.dil[k][None]).sum((1, 2)) + (self.crop[k][None] & ~e).sum((1, 2)) + return out + + +# --------------------------------------------------------------------------------------------------------------------------------------------- +def area_init(pose, G, masks): + """roll of every pose from the projected sprite area alone: area ~ c0 + Ap |n.view| + Ae |u.view| (plate normal / in-plane vector), mod 180 deg. + Alternates between per-pose roll (grid) and the 3 coefficients; returns {(action, frame): phi} (rad, [0, pi)) and the rms error (px)""" + from scipy.optimize import nnls + area = masks.reshape(len(masks), -1).sum(1).astype(float); ok = area > 5; v = pose.view + grid = np.deg2rad(np.arange(0, 180, 3.0)); F = [] + for ph in grid: + eu, ev = G.uv(ph); F.append(np.stack([np.abs((ev * v).sum(1)), np.abs((eu * v).sum(1))], 1)) + F = np.array(F) + pk = {} + for n, (a, d, i) in enumerate(pose.key): + if ok[n]: + pk.setdefault((int(a), int(i)), []).append(n) + best = None + for seed in range(8): + rng = np.random.default_rng(seed); coef = np.array([area[ok].min(), rng.uniform(20, 200), rng.uniform(20, 200)]); idx = {} + for it in range(6): + for k, ns in pk.items(): + err = ((coef[0] + F[:, ns, 0] * coef[1] + F[:, ns, 1] * coef[2] - area[ns]) ** 2).sum(1); idx[k] = err.argmin() + rows = np.array([[1, F[idx[k], n, 0], F[idx[k], n, 1]] for k, ns in pk.items() for n in ns]); ys = np.array([area[n] for ns in pk.values() for n in ns]) + coef, _ = nnls(rows, ys) + rms = np.sqrt(((rows @ coef - ys) ** 2).mean()) + if best is None or rms < best[0]: + best = (rms, dict(idx), coef) + rms, idx, coef = best + return {k: float(grid[j]) for k, j in idx.items()}, float(rms), coef + + +def head_offset_sign(P, phi_view, s_head): + """sign cue for the 180 deg ambiguity: observed offset of the sprite's head part from the shaft line (px, along the image normal of the axis) + times the predicted normal component of the in-plane vector; returns q (N,): > 0 means 'phi as given', < 0 means 'phi + 180'""" + q = np.zeros(len(P.pose.key)) + for k in P.ok: + ys, xs = np.nonzero(P.crop[k]); X = np.stack([xs + 0.5, ys + 0.5], 1) + a = P.a[k]; na = np.linalg.norm(a) + if na < 1e-6: + continue + t = a / na; nrm = np.array([-t[1], t[0]]) + rel = X + P.org[k] - P.c[k]; sig = rel @ t; nu = rel @ nrm + head = sig > s_head * na + if head.sum() < 3: + continue + b = np.cos(phi_view[k]) * P.B1[k] + np.sin(phi_view[k]) * P.B2[k] + q[k] = nu[head].mean() * (b @ nrm) + return q + + +def viterbi(U, lam, cands): + """best path through per-frame costs U (nf, nc) with a quadratic cost lam * (angle change / 30 deg)^2 between consecutive frames""" + nf, nc = U.shape + d = np.angle(np.exp(1j * (cands[:, None] - cands[None, :]))) + Tr = lam * (d / np.deg2rad(30.0)) ** 2 + cost = U[0].copy(); back = np.zeros((nf, nc), int) + for f in range(1, nf): + tot = cost[None, :] + Tr; back[f] = tot.argmin(1); cost = tot.min(1) + U[f] + path = np.zeros(nf, int); path[-1] = cost.argmin() + for f in range(nf - 1, 0, -1): + path[f - 1] = back[f][path[f]] + return path + + +# --------------------------------------------------------------------------------------------------------------------------------------------- +CANDS = np.deg2rad(np.arange(0, 360, 6.0)) # roll candidates (rad) + + +def pose_groups(pose, ok): + """{(action, frame): [view indices of the 5 directions that have a sprite]}""" + okset = set(int(x) for x in ok); pk = {} + for n, (a, d, i) in enumerate(pose.key): + if n in okset: + pk.setdefault((int(a), int(i)), []).append(n) + return pk + + +def dp_rolls(P, pk, T_list, deltas, smooth=0.25, cands=CANDS, weights=None): + """roll per pose by dynamic programming along every action: sum over weapons w of the mismatch of plate T_w at roll (candidate + delta_w), + plus a quadratic penalty on the roll change between consecutive frames. P, T_list, deltas: one entry per weapon; pk per weapon (same keys needed + only for the union). Returns {(a, i): roll}, total cost, and the unary cost tensor {(a,i): (nc,)}""" + keys = sorted({k for p in pk for k in p}); out = {}; tot = 0.0; unary = {} + weights = weights or [1.0] * len(P) + for a in sorted({k[0] for k in keys}): + fr = sorted(i for (aa, i) in keys if aa == a) + U = np.zeros((len(fr), len(cands))) + for f, i in enumerate(fr): + for w in range(len(P)): + ns = pk[w].get((a, i)) + if ns: + U[f] += weights[w] * P[w].cost(np.array(ns), T_list[w], cands + deltas[w]).sum(0) + unary[(a, i)] = U[f] + lam = smooth * np.median(U.max(1) - U.min(1)) + path = viterbi(U, lam, cands) + for f, i in enumerate(fr): + out[(a, i)] = float(cands[path[f]]); tot += U[f, path[f]] + return out, tot, unary + + +def fit_single(pose, G, masks, ext, iters=4, smooth=0.25, thr=0.85, log=None, sign=True, tol=1): + """roll per pose of ONE weapon on the class geometry G: area init (mod 180) -> sign from the head offset -> alternate plate learning and dynamic + programming. Returns dict(P, T, pk, phi_pose, phi_view, cost_hist, area_rms)""" + P = PlateFit(pose, G, masks, ext, tol=tol); pk = pose_groups(pose, P.ok) + phiA, rms, coef = area_init(pose, G, masks) + phi = np.zeros(len(pose.key)) + for k, ns in pk.items(): + phi[ns] = phiA[k] + if sign: + q = head_offset_sign(P, phi, ext[0] + 0.6 * (ext[1] - ext[0])) + for k, ns in pk.items(): + if q[ns].sum() < 0: + phi[ns] += np.pi + hist = []; T = None + for it in range(iters): + T, _ = P.learn(phi, thr=thr) + if len(T) < 5: + break + pr, tot, _ = dp_rolls([P], [pk], [T], [0.0], smooth=smooth) + for k, v in pr.items(): + phi[pk[k]] = v + hist.append(tot / len(P.ok)) + if log: log(" it %d: plate cells %d, mismatch px/view %.1f" % (it, len(T), hist[-1])) + return dict(P=P, T=T, pk=pk, phi_view=phi, phi_pose={k: float(phi[ns[0]]) for k, ns in pk.items()}, hist=hist, area_rms=rms) + + +def mismatch(P, T, phi_view, per_view=False): + """mean tolerant mismatch (px per view) of plate T at the given roll per view (N,)""" + out = np.zeros(len(P.ok)) + for j, k in enumerate(P.ok): + out[j] = P.cost(np.array([k]), T, np.array([phi_view[k]]))[0, 0] + return out if per_view else float(out.mean()) + + +def const_mismatch(P, T, cands=CANDS): + """best single roll for all views (a weapon rolled by one fixed angle in the class frame): (mismatch px/view, angle)""" + tot = np.zeros(len(cands)) + for k in P.ok: + tot += P.cost(np.array([k]), T, cands)[0] + j = tot.argmin() + return float(tot[j] / len(P.ok)), float(cands[j]) + + +def circ_mean(z): + return float(np.angle(np.sum(z))) + + +def merge_class(fits, weights=None, iters=6, ref=None): + """one roll per pose for the class + one offset per weapon from independent per-weapon rolls (each only known up to its own constant offset, and + mod 180 where the head is symmetric). Returns phi_pose {(a,i): rad}, delta [rad per weapon] (weapon roll = class roll + delta), sym [bool per weapon]""" + nw = len(fits); weights = weights or [1.0] * nw + keys = sorted(set().union(*[f["phi_pose"].keys() for f in fits])) + ref = int(np.argmax(weights)) if ref is None else ref + phi = dict(fits[ref]["phi_pose"]); delta = np.zeros(nw); sym = [False] * nw + for it in range(iters): + for w, f in enumerate(fits): + if w == ref: + continue + common = [k for k in f["phi_pose"] if k in phi] + d = np.array([f["phi_pose"][k] - phi[k] for k in common]) + r1, r2 = abs(np.exp(1j * d).mean()), abs(np.exp(2j * d).mean()) + sym[w] = bool(r1 < 0.8 * r2) # symmetric head: only the 180 deg estimate means anything + delta[w] = circ_mean(np.exp(2j * d)) / 2 if sym[w] else circ_mean(np.exp(1j * d)) + new = {} + for k in keys: + z = 0j + for w, f in enumerate(fits): + if k in f["phi_pose"]: + a = f["phi_pose"][k] - delta[w] + if sym[w] and k in phi and np.cos(a - phi[k]) < 0: + a += np.pi + z += weights[w] * np.exp(1j * a) + new[k] = float(np.angle(z)) if abs(z) > 0 else phi.get(k, 0.0) + phi = new + return phi, delta, sym + + +def refine_class(pose, fits, phi, delta, iters=3, smooth=0.25, thr=0.85, log=None, weights=None): + """all weapons of a class together: learn each plate at (class roll + offset), roll per pose by dynamic programming over the summed mismatch of all + weapons, offsets by a scan; delta snaps to the 6 deg grid""" + Ps = [f["P"] for f in fits]; pks = [f["pk"] for f in fits]; delta = np.array([round(d / np.deg2rad(6)) * np.deg2rad(6) for d in delta]) + for it in range(iters): + Ts = [] + for w, f in enumerate(fits): + pv = np.zeros(len(pose.key)) + for k, ns in pks[w].items(): + pv[ns] = phi[k] + delta[w] + Ts.append(Ps[w].learn(pv, thr=thr)[0]) + phi, tot, unary = dp_rolls(Ps, pks, Ts, delta, smooth=smooth, weights=weights) + for w, f in enumerate(fits): # offset scan: weapon w's mismatch at phi_p + delta' for delta' on the grid + cost = np.zeros(len(CANDS)) + for k, ns in pks[w].items(): + cost += Ps[w].cost(np.array(ns), Ts[w], phi[k] + CANDS).sum(0) + delta[w] = CANDS[cost.argmin()] if w != 0 else delta[w] + if log: log(" class iteration %d: total mismatch %.1f px/view-weapon, offsets %s deg" % (it, tot / sum(len(P.ok) for P in Ps), np.round(np.rad2deg(delta)).astype(int))) + return phi, delta, Ts diff --git a/third_party/UO_Model3D_v13/pipeline/zoom.py b/third_party/UO_Model3D_v13/pipeline/zoom.py new file mode 100644 index 0000000..ea44e6d --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/zoom.py @@ -0,0 +1,22 @@ +"""zoom.py poses.pkl a i out.png : row 1 = sprite (5 dirs), row 2 = overlay (grey both, red sprite only, blue model only)""" +import sys, pickle, numpy as np, jax.numpy as jnp +from PIL import Image +from posefit_mesh import * +from posefit_mesh import _posed_j +P = pickle.load(open(sys.argv[1], "rb")); a, i = int(sys.argv[2]), int(sys.argv[3]); out = sys.argv[4] +T = targets(a); m = T[..., 3] > 127; F = len(T) +hid = (horse_masks(a, F) & ~m) if a in HORSE_OF else np.zeros_like(m) +X = _posed_j({k: jnp.asarray(v[i]) for k, v in P[a]["poses"].items()}) +ys, xs = np.nonzero(m[i].any(0)); y0, y1, x0, x1 = max(ys.min() - 5, 0), min(ys.max() + 6, 120), max(xs.min() - 5, 0), min(xs.max() + 6, 136) +top, bot = [], [] +for d in range(5): + s = T[i, d].astype(float); bg = np.array([40, 40, 48.0]); al = s[..., 3:4] / 255 + top.append((bg * (1 - al) + s[..., :3] * al)[y0:y1, x0:x1]) + mk = raster_vec(np.asarray(project(X, d))[tris], CANVAS_W, CANVAS_H) & ~hid[i, d] + img = np.full((120, 136, 3), 30.0); img[hid[i, d]] = (70, 55, 40) + img[mk & m[i, d]] = 200; img[m[i, d] & ~mk] = (230, 60, 60); img[mk & ~m[i, d]] = (70, 120, 255) + bot.append(img[y0:y1, x0:x1]) +sep = np.full((y1 - y0, 2, 3), 90.0) +row = lambda L: np.concatenate(sum([[x, sep] for x in L], [])[:-1], 1) +im = Image.fromarray(np.concatenate([row(top), np.full((2, row(top).shape[1], 3), 90.0), row(bot)], 0).astype(np.uint8)) +im.resize((im.width * 4, im.height * 4), Image.NEAREST).save(out) diff --git a/third_party/UO_Model3D_v13/provenance.json b/third_party/UO_Model3D_v13/provenance.json new file mode 100644 index 0000000..4957f6d --- /dev/null +++ b/third_party/UO_Model3D_v13/provenance.json @@ -0,0 +1,11 @@ +{ + "model": "UO_Model3D v13", + "artist": "Levy", + "license": "shared with permission of the artist (Levy)", + "note": "UO_Body_0x190.blend is the stripped copy: the packed original client frame atlas is removed (pipeline/strip_originals.py).", + "files": { + "model/UO_Body_0x190.blend": "9ff8c601431157943d735b358c9a1fbcb42c713c5b618c8cb01f7ff46a8a63f4", + "model/UO_Body_0x190.fbx": "5ae555aba7ce45cb52c6e37e602998a4a82ca496e224464dbfc7b348233dc9af", + "model/UO_Body_0x190.glb": "802ab9f1fefbdfba135b8d69f6c756a632d4e87f25b5a8462f9274c56a6189d2" + } +} diff --git a/third_party/UO_Model3D_v13/vdtool/mul2vd.py b/third_party/UO_Model3D_v13/vdtool/mul2vd.py new file mode 100644 index 0000000..b3c140a --- /dev/null +++ b/third_party/UO_Model3D_v13/vdtool/mul2vd.py @@ -0,0 +1,37 @@ +"""Extract one animation (body / equipment id) from anim.idx + anim.mul into a .vd file (UOFiddler VD layout).""" +import struct, sys, os + +def base_index(body): + if body < 200: + return body * 110, 22, 0 # high detail monster (22 actions), vd type 0 + if body < 400: + return 22000 + (body - 200) * 65, 13, 1 # low detail / animal (13 actions), vd type 1 + return 35000 + (body - 400) * 175, 35, 2 # people and equipment (35 actions), vd type 2 + +def extract(idx_path, mul_path, body, out): + idx = open(idx_path, "rb").read() + base, n_act, vtype = base_index(body) + entries = [struct.unpack_from(" liczba akcji (high / low / people) +TYPE_NAMES = {0: "high (potwory)", 1: "low (zwierzeta)", 2: "people (ludzie/ekwipunek)"} +PEOPLE_ACTIONS = [ + "walk_unarmed", "walk_armed", "run_unarmed", "run_armed", "stand", "fidget_1", "fidget_2", + "combat_idle_1h", "combat_idle_2h", "attack_1h_slash", "attack_1h_pierce", "attack_1h_bash", + "attack_2h_bash", "attack_2h_slash", "attack_2h_pierce", "combat_advance", "spell_directed", + "spell_area", "attack_bow", "attack_crossbow", "get_hit", "die_forward", "die_backward", + "mounted_walk", "mounted_run", "mounted_stand", "mounted_attack_1h", "mounted_attack_bow", + "mounted_attack_crossbow", "mounted_attack_2h", "block", "punch", "bow", "salute", "eat"] +END = 0x7FFF7FFF +CANVAS_MARGIN = 8 + + +# ----------------------------------------------------------------------------- kolory +def c15_to_rgb(c): + return (((c >> 10) & 31) * 255 // 31, ((c >> 5) & 31) * 255 // 31, (c & 31) * 255 // 31) + + +def rgb_to_c15(rgb): + """rgb: (...,3) uint8 -> (...,) uint16 w formacie 1-5-5-5 (bez bitu alfa).""" + rgb = np.asarray(rgb, np.int32) + r, g, b = [(rgb[..., i] * 31 + 127) // 255 for i in range(3)] + c = (r << 10) | (g << 5) | b + return np.where(c == 0, 1, c).astype(np.uint16) # 0x0000 = przezroczystosc w kliencie -> prawie czarny + + +# ----------------------------------------------------------------------------- odczyt +def action_name(anim_type, a): + if anim_type == 2 and a < len(PEOPLE_ACTIONS): + return PEOPLE_ACTIONS[a] + return "action" + + +def read_vd(path): + d = open(path, "rb").read() + magic, anim_type = struct.unpack_from(" 0 and length > 0: + pal = list(struct.unpack_from("<256H", d, lookup)) + start = lookup + 512 + (fc,) = struct.unpack_from("> 22) & 0x3FF + dy = (hdr >> 12) & 0x3FF + dx = dx - 0x400 if dx & 0x200 else dx + dy = dy - 0x400 if dy & 0x200 else dy + x, y = cx + dx, cy + h + dy + run = np.frombuffer(d, np.uint8, n, p) + if 0 <= y < idx.shape[0]: # a few client frames have runs past + x0, x1 = max(x, 0), min(x + n, idx.shape[1]) # their declared size: clip them + if x1 > x0: + idx[y, x0:x1] = run[x0 - x:x1 - x] + p += n + frames.append(dict(cx=cx, cy=cy, w=w, h=h, idx=idx)) + blk["palette"] = [v & 0x7FFF for v in pal] + blk["frames"] = frames + blocks.append(blk) + return anim_type, blocks + + +def frame_rgba(frame, palette): + idx = frame["idx"] + rgba = np.zeros(idx.shape + (4,), np.uint8) + lut = np.array([c15_to_rgb(c) for c in palette], np.uint8) + m = idx >= 0 + rgba[m, :3] = lut[idx[m]] + rgba[m, 3] = 255 + return rgba[: frame["h"], : frame["w"]] + + +# ----------------------------------------------------------------------------- zapis +def encode_frame(idx, cx, cy): + """idx: (h,w) int16, -1 = przezroczysty. Zwraca bajty ramki (naglowek + RLE + terminator).""" + h, w = idx.shape + out = bytearray(struct.pack("= 0 and x - x0 < 0xFFF: + x += 1 + dx = (x0 - cx) & 0x3FF + dy = (y - cy - h) & 0x3FF + out += struct.pack("= 128 for im in images] + c15 = [rgb_to_c15(im[..., :3]) for im in images] + used = np.unique(np.concatenate([c[m] for c, m in zip(c15, masks)] + [np.zeros(0, np.uint16)])) + if original is not None and set(used.tolist()) <= set(original): + palette = list(original) # niezmienione kolory -> ta sama paleta co w oryginale + elif len(used) <= 256: + palette = used.tolist() + [0] * (256 - len(used)) + else: # >256 kolorow: kwantyzacja wspolna dla calego bloku + opaque = np.concatenate([im[m][:, :3] for im, m in zip(images, masks)]) + side = int(np.ceil(np.sqrt(len(opaque)))) + tile = np.zeros((side * side, 3), np.uint8) + tile[: len(opaque)] = opaque + q = Image.fromarray(tile.reshape(side, side, 3)).quantize(256, method=Image.Quantize.MEDIANCUT, + dither=Image.Dither.NONE) + pal_rgb = np.array(q.getpalette()[: 256 * 3], np.uint8).reshape(-1, 3) + palette = np.unique(rgb_to_c15(pal_rgb)).tolist() + palette += [0] * (256 - len(palette)) + print(f" uwaga: {len(used)} kolorow w bloku -> zredukowano do {len([c for c in palette if c])}") + pal_arr = np.array(palette, np.int64) + pal_rgb = np.array([c15_to_rgb(c) for c in palette], np.int64) + lookup = {c: i for i, c in reversed(list(enumerate(palette))) if c} + idx_maps = [] + for im, c, m in zip(images, c15, masks): + idx = np.full(m.shape, -1, np.int16) + cc = c[m] + direct = np.array([lookup.get(int(v), -1) for v in cc], np.int16) + miss = direct < 0 + if miss.any(): # najblizszy kolor palety + src = im[m][miss][:, :3].astype(np.int64) + valid = pal_arr > 0 + dist = ((src[:, None, :] - pal_rgb[None, valid, :]) ** 2).sum(-1) + direct[miss] = np.nonzero(valid)[0][dist.argmin(1)] + idx[m] = direct + idx_maps.append(idx) + return palette, idx_maps + + +def write_vd(path, anim_type, blocks): + """blocks: lista (w kolejnosci akcja*5+kierunek) dict(palette, frames=[dict(cx,cy,idx)]) lub None.""" + n = len(blocks) + head = bytearray(struct.pack("= 128 + if not m.any(): + imgs.append(np.zeros((1, 1, 4), np.uint8)); centers.append((0, -1)) # pusta klatka 1x1 + continue + ys, xs = np.nonzero(m) + y0, y1, x0, x1 = ys.min(), ys.max() + 1, xs.min(), xs.max() + 1 + crop = im[y0:y1, x0:x1] + h = y1 - y0 + imgs.append(crop); centers.append((int(ax - x0), int((ay - y0) - h))) + if not imgs: + blocks.append(None) + continue + palette, idx_maps = build_palette(imgs, e.get("palette")) + blocks.append(dict(palette=palette, + frames=[dict(cx=c[0], cy=c[1], idx=ix) for c, ix in zip(centers, idx_maps)])) + n_act = meta["actions"] + for a in range(n_act): + counts = [len(blocks[a * 5 + d]["frames"]) if blocks[a * 5 + d] else 0 for d in range(5)] + if len(set(counts)) > 1: + warn += 1 + print(f" uwaga: akcja {a} ma rozna liczbe klatek w kierunkach: {counts}") + write_vd(out, anim_type, blocks) + print(f"zapisano {out}" + (f" ({warn} ostrzezen)" if warn else "")) + + +def cmd_verify(p1, p2): + t1, b1 = read_vd(p1) + t2, b2 = read_vd(p2) + if t1 != t2 or len(b1) != len(b2): + print("ROZNE: typ lub liczba blokow"); return 1 + diff = 0 + for x, y in zip(b1, b2): + if len(x["frames"]) != len(y["frames"]): + print(f" akcja {x['action']} kier. {x['dir']}: liczba klatek {len(x['frames'])} vs {len(y['frames'])}") + diff += 1; continue + for i, (f, g) in enumerate(zip(x["frames"], y["frames"])): + A, B = frame_rgba(f, x["palette"]), frame_rgba(g, y["palette"]) + ax_, ay_ = f["cx"], f["cy"] + f["h"] + bx_, by_ = g["cx"], g["cy"] + g["h"] + # porownanie po wyrownaniu do punktu zaczepienia + W = max(ax_, bx_) + max(f["w"] - ax_, g["w"] - bx_) + H = max(ay_, by_) + max(f["h"] - ay_, g["h"] - by_) + ca = np.zeros((H, W, 4), np.uint8); cb = ca.copy() + ox, oy = max(ax_, bx_), max(ay_, by_) + ca[oy - ay_:oy - ay_ + f["h"], ox - ax_:ox - ax_ + f["w"]] = A + cb[oy - by_:oy - by_ + g["h"], ox - bx_:ox - bx_ + g["w"]] = B + if not np.array_equal(ca, cb): + diff += 1 + print(f" akcja {x['action']} kier. {x['dir']} klatka {i}: piksele sie roznia") + same_bytes = open(p1, "rb").read() == open(p2, "rb").read() + print("IDENTYCZNE BAJT W BAJT" if same_bytes else ("OBRAZ IDENTYCZNY (inne kodowanie)" if not diff else f"ROZNIC: {diff}")) + return 0 if not diff else 1 + + +def main(argv): + if len(argv) < 3 or argv[1] not in ("info", "extract", "pack", "verify"): + print(__doc__); return 2 + cmd = argv[1] + if cmd == "info": + cmd_info(argv[2]) + elif cmd == "extract": + cmd_extract(argv[2], argv[3], raw="--raw" in argv) + elif cmd == "pack": + cmd_pack(argv[2], argv[3]) + elif cmd == "verify": + return cmd_verify(argv[2], argv[3]) + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv))

    Jjz7%pbBC8Ikm{NZ z?;HTM61cYgm(nH)-uu9>#WxmA{U186GCl8kn&wCGG6P6fYVi!~43$=MM;X5DmCQN_ zvB>)^Iy8Y-kOu+xb4~Kb-qE8J`kSr^)Ktts+4gra{UNXSfUfEL@-o%3KYi2>5Wo^n zzNzlAtHZ?gmdUHf1w>?_?oi}-H^!^P*ky1HJphtpxhw2raRksKSGR4D1c4Rbd(uY2 z@y+NVD`ELf#swRLk=AUmFD22vTHV3O1VF6K@gPtU>m@HbdyTUpW__jEV_1i0I$~Eh z>XlZuBLc}6odw-$q_iHV&%{iGw~eSsW#dO9Oymwe0pVs0?C1R@RKe_x&IH5<;7!5Q z#fZiBXFv3wfBt$N48NX#e}7 k?!U;4b(rA)|4D8GN59y7btPk^fq;javZhkC0zBk@09RE$G5`Po literal 0 HcmV?d00001 diff --git a/third_party/UO_Model3D_v13/model/UO_Body_Texture.png b/third_party/UO_Model3D_v13/model/UO_Body_Texture.png new file mode 100644 index 0000000000000000000000000000000000000000..3946850a8307612524769d03ad63dae27b9a8cf8 GIT binary patch literal 432648 zcmeEtRajJQ*zU~G3^jB&0!o8)N{6IMcS?6i%uv!P-4Y^7cQZ5s5~75Fw19L;4a^4o z{_FY=_TfIWaA7l-K|O09RQ_P8$F~y*oq&V1n*G4x#Pe z0YCsiSx)AKZ_aMVd@_wlGR>dJ$PWH@<)8Lj>`n{)-pwURNRik=g(!Qpu=a zT~K6${sr@u3v#b3aPoAi-S0$x3fW6{dwBQp?bHSN*TpnDT%!ae4Yi`a^5Or6Y%m7K;L3v5+IG~dK}^F0_sk}Qq{ z_P-3%$v}zne?7l?sl#r4fy8+*;JA_{KDX_rx*9|| zz$O1@X34Yx?EC8kDt7EGH8u+p7!(mjU;q1$XO?JY69uM`0cZg7G1l7%pTPn$_L4B~ zRp{XTkM5k~ikR}r-KN~Qr+CojNrjqdz^+kl@c-ut?taZWdFPoC3E0pM6RF1tC?WxQ zRMdl9le%3~442APrz5$IpbOgSv{f6hMTiY!tdiO8dl{F$wm69AyforUPgwPc3Apaw z*{%vqafd>YS}Wt5CyL?7H9F*l*286T~B?h~_yP^Gj>ovc9?A}r@&|YGg92#A{)LT8_*?MZ zADf0zZ(O5Fxgh(0nc^?s(u!=p&T2#mpa<%p>hk_&sf)fwyRpO(QAl`*uC23&xC%tK zP;~M=g9po>2VP0)5t3LK*a|EmgGDSUST3@3Aj75{jjx> zklnS)yf5$^??#nfkNN^z4gV??0tj@(Md&H=vU zrUV!Lv$Ur_%IZ@*6jYbZ0uocErnA2N+kpE2Zb1*L_A&;pl`me5;89KQZ+pTq4$q&e z@N78{j&BtmEpuZ=3>;Sy(z(7F=}v=Hy-I#?*3%j3UNpN2ZWY7L1^$8~TjcfrqFC4p z|049fZOLnD?x*7Q;o(Fe^5SAP5P5UHmFN~oeh&iul%f~_QxM}+QR1j#93ZZ-&9m^n+UH?qusViK0Eqad-@z6 zflt?ZaInAMda%?5T?!n(+27vA8eceQcT)W7Do)$>8t=hLHA;B_?IYK z+opM~n7^=2u7ua<4E?QNFhw-+B)_}KMfq~`HcFSO8jk=daci)n^|njTEt+#v_lIwQ z`0kE@@81pZ65BWqlH@t+L&%vj#Yq4{gW~!Q(Ev)+uRFP%{9dU|35@e!qXAo28o7Pl z2a9J{=7ZSrb4*Fp5HBaW0kTC!P#+RDbhxPqdJ56HHbTWdbEa*ArrAL_&`A*EE}d@) zso%%3?xTU>BZ+sGS-mSf<0l*LZXca~B+Thz%?{??q*5r?E%8TedZ9xPq^?NKpMnM-V7!DhMH>Hr5L>>qS zhN|Y?70oRI+UtN{NOj?ZB|Fh211JxwjVoOTZ1s<(QQjZ)6QQxFCXDm0^OnmY^d`|X zbpJhn(O)Boj=|QpwiBl#kxgs;X|L39zM`VI0LXG`GWA2I%71p}@LRev5NaQ{>X&^u zrnVTkhm04yMweG8zjrCfzo?tyZ(9Orr5sa7z7PeMVrU?IY(u2{w-IwmbLojIresHf zqo&SRQg}Y+C?nbXn)+$6*qrJ8A9kb`yY~4j`J%>?n`~+Kg#BCyXC57VUzqG{z}>nx z_^IkQasbZNFmn(dd{`R&R@o?jE|_*b5~wa5&r1GbWc_2q$qwcL8-W>GC~oleZquG# zM8dhubd);AA5xLdl&bJCtcGz6H9u;v4wJy+`BAR)kt1IOTDxfwOW(U4wMO31TXtrr zgqiSi8g!qzUJZnNQL^5?QmBkg(-&TW^MM00O-xh`&#tGxcY)Knzx{s0ha%f(3#5)g z3!CpjcK2E8&dMW`_fMHhxW)sXd7Ua9fY~~3%M?wWWnvJ4z0mK#xvXAMCwUl$^Efs! z6WRlK>-KAmvuo%@&{e3vrepsNan^_JHyt4Qyz#sJPqRMK<{s&>eRcab%3<(xUPOGp z?k?zx=}&{JII&{=@&rDyGwMdg9(!z$9|z^;Z@)f6I{~g|(lchSM97x?i;`p+n&^n5 z!Q^1EhxF4)5C?=8n5N8Pgua_Qcpubok8&}iT_{$*)wbl>ozEGIVkPLE*o<#Jn9336Gx3mXdlUC2y z9B&T4i6Gw&dad%qZDfc_lJVzkt0b>Z_cUyq&v$;f#t^KOhDI)y1iQUp|BESuoQ@Zo z=wEFXXg!B%>?hRF-GIJ2K2*B7d*67fnNymQsRX74EoRzej@Z%#E@yL^F)xQsb`|75 z+gFHvy z^Q;dQVyUJYke?vy)yu^;pA+%xGCB49eaJrhg}z33{FO|2G@01%I;o^$FE@YHJ=CtV zMqppf6UBr%dGSSSSTFyVF(APv2?lzOD%qSWX#geR0n4mC)xW}c@-Oa)6NaO?`}^(&(($jDbn8YnrL?lK^4r zg*7@v`OekpX^KbZU3z&Rl6k4QLI$^*jdRMU0-03l9%U<5P`o5vDD;gz-wx#(^K|f> z4DYEC)0+ovxMRV6`t}5mhoS~oArSs?W7u^TYlzTCVOpFKa%sXQ9=@93+lLez^ALRY zeVr^gAPzMOJ`fS2}Y zV1YlyXbxIDKJpzExo+Q`nwskE4MmFQk9X?&=Gpp?t}cR>0?%{L#@_k_UF2K{Gag6y zat9*=eSKlsxARRds_dN8ZJ7rL2RbUkQBUtPbigp(#jnzQ-i6g} zfKWxGoTcSF11+k%7^Ip?5e-s4_&x;3jj7kLH}%F`&A#bxVG@jJjPi-&H_SMN#Y4#I zbG~myP3yfJPAY!?Sb@4 zecD6zTjtohkK5Wjh}nu-OOE)A5jes%5~A#!e>*79#pH-Fb?~dhFm1zE{0b;T%ll)b zSaRbRjBC8Cl~v^Pp-yeL6fByg+Wb*Rj+iam zqUeloxe8yDrL&j#hQ(wWSLq^8S9&q%(5Vv?{|aV)*uFmK+O#_2AUKg^t z)Dg8H+wDO*C`So3Uc`&dD4K;e0zJuitbRG~0L+)zy&{klfo#qsgV{hT8BU?RK$*Q* z*;cm9bDl#UKpBgudxYwu)4Edh=7GqYCJCn5S0i$6VZF1a8SnnB#qVJ)&!gX^gd8vx zq*o}<5l7bk2Dbt4E`d_d7Fh7b7Yz5=VI>CZevUR{2tq_r;j+k+v% zNik~1T+IYUefK#2xwS1hfnjr)=TABwrK!Eng~v)l);KPO2SK`^(SY4G-^1WJ(g-oN z{{Ywfd%zX*EnCRtFhDY&DK@@93KW=Um1@T8iYfs*&1}?+L_5!}C|(t?k7XN=eV1Xu zez8m$mcDDjzJS#kBW7%Lhv>SDxL$28iZIa;(zlDvU!Yr@SIQ9MFH7Fs28iaukvBJi zO}oew=&i)BN)EY>9R>)GCtMaO@O-59A{yApxa^6Pv*d5)k>TjH z1C$*vRTy|2$69<=HGeDCb0aLc{AcY=dX`u8JWlKL+?dz%wARNqF?3*7q${BNDhGsV z$@AOl^HNEQtB1VRzf^nU_z)rQ*0%^X!)_rI?H4a4y&%wYB6RYQGhlNY+n|A3BYy{_ zc?s-#--w$puJZ{*Zhtfzq=2G*jra3e_Vb%kx|>YxV?aO+agI~QJPp=CV!@{K%Mjb8 ztX&kq^6kmxZZDx}u5hk;v*g_3fSz2532~go8$c&^K}>N`q6nVg~<{A0*i*d!;A z7&dgk>5D3VLC)kH*yAsqNUlKsTg|VY9v_mE>K&4~(!6d>QoF{2cgP#!w)m`Mc_D}hNLbt3*PYh2~NHh+eg0<5~9 zyxq*!QJpRc5mqmSz27I*m)yNy^Ptnf0nc8;7cSo1X1-mHrE&N&ls}Jy!efJj%E>j zlF_%7)tF)Y8pE>Z2kB5Fsq{%?$eO|Ydhu5(V>8ymcg=2Q6Ex9EpJSkHUctq!U(2tb zPR`ZVK=)3;6keF~|7sxkzrw;MQ?1S{Ia3nDvwEFT&@daadne^<8ug=xEL2m64G8IO!|chXaOmo?%;O3>AIX-YCa0CD&= zKj`Xp)}yYrb5GHdKOKA97dPE`-|s3)cSXc`BJ`q{u5xB4ABouX%Y$BRv+}ofb&ZQa zFAm?oz+krB4UoK+M;*gi=rhi14-|R1^w^O^nwQrXwm{x~%m|2pEVLta>~l_@_M9W= z4I%3e(lZ`Q?sP^|91Y%nyN#2l?z3k!X3bO0dD8Fu3ob}Hpj zoae;+C0u}k{xww`Fb%wmU}(})ga@KZ?AwJ}JCmb`Z|Re!p_gTYo>vr-QE4&@xa=i; zc;d?VCeaYN~Ha9Y`3YbZOU1ZoW|8At> zh$o-?){3Qq4Y~0+nq&HyXi9M2U6BN+qU?to|N5s0*gmAYA8ZXm34A??`QrN7Z)8EY zkJ;sbY~XVjU(Uj{edp)9>|V(|=GMP3o~3!; z-oDUtb?oRg63b?4;AoZbE}67ps&!SPQYM~iva65qFW{=lYL@f&Kl#V#Uc2a|1OmyQ zyZE@_qj=JyT!gk2=;1H;SoS9_Mk2I7elK(Gw#QtOH$K+Iv@?8EY>gn0lJ{hBG@Ej@ z??7ZWr6jiyO?Hr53TPuBhd}t>%R{CbmvOWm8{A#wvt5sT$u=IkmT1rN2r>pGG zuhAkTp$A2gQ`=!*(QgM55ExgAC5N~TADQ$8mYHDKd-fY??Cv&LBPg;zFgvH7+>!OS zO#*$L^tV3m>IX6*6+aso;3Qh1db z^!6nGP9@EkLtfqqs0rA2gyQyKIy;mY#^So59FIKj!qc8ZV^gp_UApOW>2J@D4*Ds|Am16hpVn@#r4fra&nl;;fBEM!CB3{_G0TTxVcv<Oojv)rY_xuIUY5t5^2gxo)D#gJ^Nhz0?@hjkBsJdViAYJ9 zQ)lN8ToGzO11Kn4)};TQ#DPifv}euEYY=B9H0?{aI@o2@<%VMh>~nd^81p0~$Qh6f zE~VeY#b2amsjjb?m4M{UWF3;I3JirzMNz_37is>ZX#c7ki4t`c(ep9`u_xT{MZv?? zA2q=ZW^6rIH^s~jK~uRNXvx2GbJ@~iXPBpPutm}Z46knLt~p??`&nwDY`wOzwRmBu z%im(|`iLLhO}#rK8}1z@cdF#Jr)aLahK5EESykxoyAnOI6nJ{0iPRpxK0m0SRXa`Z zLTtS0kd%-x=1RZgPa5lYcq>5CzlAG3#&mn*HAv?w5g`B07P!M`>uh#}OW^1D!Z`Zn zgcEFW=}wSy?|>EF1tI4>f+b*{P12jQvA@Yo^G8QzY{#%FS%{nyPp5* z#?%8Wqyc3Rw2xd+b+@t~ic05PYy3EeEmaT3NV)7`&swy-V8s9m@J6RN?6{B>x-qip z`pnWB9gVywZ3>;3EQJ^UqpG{%Jg5C-Cw>V|Q>%NHMP` z!|oXDJ$S!ud{K=lBaLwoGC58D8Y5s(V+(W3+K$#p`aR8SC6j+E;eTL(@>sg{3JXR( z9PFX)K`70DQ|@Jx)eq9ge82lCczGA1q;&?+%Y=HO#uqWvZ8!bEAik?{k?VaEo;B%A z)2vKYLMh;2Qe?rV+Mr$K&Y#V{7d*>%S+eec#JdZLPbbMSvTBs8UaE~vN_}UK!44y? zJ8r_ye-3(lroz3BCXlJ!!vZk-F_mB#$3(jMmi38N3C%A(K(lc>*B(PdD8?7j58Qk9 zPjuc6g)ClHp(PvC;fgQfPW5k$QgJ__cq$%0)BxWT_vUiA<{sSWT8#X+w4!_MCJ>EK z8qTenG1BLO+DzC)^~foQ=2lh4kbl<+RKYI|Aor|$opJCB(T#7zO?2HjI~;Rxk|EW z2&wk_IRli-BalapH!?NmbtkX1bIAS}7HbJ}?(jtMWRE8Z^KiyD%x`@?kXW;Xl~3S^ z-CO$NrhAnZfSH(Ge@5xL>xp@p<^Hcy&rIFR3fSK}VC<{Oa?C`CB-90Pq&b2(0cW-A zT3-)8#kSQThQF57Q$-mJ=}K^Gn^=kxYT-L{Cq&XoM)k|ot?jDm2D%whUo&k-Ms{BB zi!FQQFKe)OK#{a9h>Nv^B`7jbW!qJFIfcPQySc5c&4|mUv2y25-6g;o5j(=k)J`}E zlhy=hs@uge%FCIemhQPFZkPZ;3bs@X05OG}5ROb=?y8)89Tm4y8X3!yv0;=e{mTEg73 zFSQouH*`>hRy2NfkdM##l!nx$sxR;o0PhHNBvTN}+6-1H%f{eQj|BDk(ywl_jdEfQ z_O*nRJ2CV?In=3X53jl2{>JbNf@};Xz11YU@%Zpjlhi+!i`_GvdI@LZLE|@#yqBf9 zRR-4}c4lCd{(SX-#I6D;Q^Gpe+eCQCnaC(9mGNktS&#iWZV?Lwz?EECM$@c}Xx3Pg zsqnGaK3xWFzHf2Tw)d}Zc&g^fOLOY-S3=8al058pH+y4CTC11S z18SP^f7N|XErsc=V`>)sndSjJ4S#gX*tj3WIUh<5c7X8J-xVX8 zye8~#&&6vgBLo&nsobDy=BmU9$-mS8h%Ed4)(5?Q198{SxE&Ocx@dWdUJW}FFU%=?OB(oB`2>+@B^L)%va;S)I?Qb(LSn&I2y0>hS1B8r)3nt)dd7LdK zzTc0{w!I>N1m)7^a%vrr58)=gXesCv!CtZCh9i>H>1riIyCYYdlqpZxJHol`IgCSdn?#!Wi}!MRM0l(R5Ka4 z)PGZw+kX&poZ&BbxY*r`XSwjlBEwl>^zH8EN_p_z5#@H8iwass;d$zdaelU=C2owLHvs&V0c^c;Mn zmli01TGveq$2nBq387;Mp*jyySLM#l&CO*1I%_8;ecc(`_o=COL)5PADXT)Lp@uk0 z6H17Z9I@9g4oVi|I5$??>1BUmj28Y5m5Z|%0ck4yS*+4#pYFMG?#rl}T*Xg#*}ARx zxZWo-zpXy>Hrx*qa!3%|=Gb}gp<4F8?xXDkhX6xDX%*1LajId0tsirf`eKHDz1buQ zVNs3_?a-s9z;f*qCL|Du1+0?hH+BgBHD{z-aj|i2sqrRqEn^MFe%E8pFiuTI#!cy) z+TnMCZiz1SRtnECC%COm%m>2)a}27pSdp!LOoGl@&S@pOEHyQmkI7V~TvFYKT9M{G zun1yHsL5%In%zy(exS0Q2-3{(wA53?%;TA$NM5P$tf2CN1a zQN`3P$5T^8cKH93+i>p1gf2FD4=#K@S$3VgizlkU|Ugq=8XOWil8sHgbpoR1v*w{GFGr~mbb+aIEuK}A5T z)%v#ok4v{tqS_woF3 z_<&Gat!Fx3}mrB2BPk??dGKU#jIMq_hn! zZnjaACH}*2`W>!x=ic60ia&H&^J5-Tsv-b2_SuC9Eo<^meyH%%yywI)YtEmElh4TD z{poj{397;vvbNFjl9)wtX-L;x*_UXS%e{9+svU2++qW(lEtYL!2}z5G(dm8e-g1$G zTyc$T11B1s*VFwLnR1hDKgi5IP&J-9yqBY;{wnsdu_CHdIOt#33z>+*&b7*qxIBNA zL1?8si%zch>E)a`XDJ^$YN2jOQ3<%jDYr&>)HU&(cgZhKb4ln%^9(!;DV*v*U<<;# z9);HuKXX67CK*Zr@$dI@h(RJLA}8d=+De>Y>Og8Ru>zP7c62(3Eo0+NF^B2+j0>k> z;|ZCq18PrgG*#K$TGw~wt7o@THO26`sJC3R^x1#N*KTiVPi|<{#=PtQq626F85H^S zR`u6&H_*{t_m<^WKuV8B{OTlA@jCbU6Z!Q4Tj}6lxom=Rv>gsQ8DSN)MxerBY%7)o@0={BzNg}s1Nn>_Yw{nW8+P% zRwE#XJ_wzlL=?-FJl>A#uG$a0@eM~Q=E?v0Jc7yD{0-A7cj=C+c8dgcZr3o+7v*Gk zp*PaDzb<0FPQ%>z=3@QceC7e`I<%yBAy0duzSwl7Q!v>a)GY1eHATPrUTe2gsAN7b z`SRC6-@m*79ya(J-B@^}5w+vvt)3%7o6|UHKQibD>zKrCZjV!+A&%#Y*e1zZC*je^ z%#eoMyrGD9e%lX*h`+;$aHUU%@^uBG-owKG(};g;JwaCLmv>n$uPN{cvQeC7wQo8E zl8n44AAw8ai}g(iM#%14|0d*a%b{;~-5}NxbU!$P$6p7c=W5)3Ib*vSA}kPW?%^@Z zdQ>GWwK8b1Jf<%e;fk>u1d#WBLIZgi1^w2-)gxq%HV<_gEvhqX zA#E+7faqT!bllV1=7rx_$$ldLN-vm~L8D5q&2ca`o}qO9Jb;}*O7M3s=XG*=JMv?^ z$itKWy=N3R&%Wm({hybA8-skPegZIUn}=rlHpr;6Bye1696kEES_fW(m7;xg0#0P~ zzlx9Tr@-TTWOF)>16bp;9J13V#hFdygLmAw&Ulmm`n@sw+vl_Js1+VFe!%TXG}l@g zWLW)UBZlo=UX?Kj2msZ~=1Tf=goIXFBKZJ-b!Q%sn-rqDxJ# zBvXv<-Dcub{)>h|Pouh|NsdPWbdTpwqXdj#=z(r3>xIiN-qckq%%;d5Z*)p$E}mA< z7|S_!&(@zB(X93ci6&uRY90E9E}b;$I;_xiX{^fd{k_wiew7EfbqBe)2$fTz|{E=3#HiC1{bX<4MYpPSM>Mg@m&^8ADPV{el zd(k?+n9ip;7fpgeOBmSIA^%5k_o8luH6m6*z$uo9c^0pvHIjA2dX)AS+yB^W7xiH> zN8|l_S&SRP?`Vv%d#yF(R4pCpST;ozZ*J>T=@sWd%Ezxa9b&-*nLWjAh>b(-U(Q^y zniN7*z@3aXjFXW!6t{28gfC%4z(}>cNAU=srM#0%M=v>`=l;Y}=?O)VVYB1x=JuL# zJC1~wH?5{ytvilZx|74C;3lKA&L7M#&Uab1Q_FMOA^Ms^dDU>GtuIRMg6qq^lw(c( zJA=`92Zl4jQ$z3$=Xa)_L#5Z!$om+*@}$i2oFHR88ik;mNhp174z}#)@gxYv5i|1Ne$1S}Hr_N4z8?5?$Y z$EQn)5Fv*%fx*?C4D9>_8hbK1+S>{kqW#mg_{|$Ef-k|Uj3(-tevKxdw|XozRM2gb ze$W_oYKX;I?ZllnRN}PZ2E|0=hWHpd?#_IRX}j@sSY~iD6_KQPm?iCgs23Id(Iz*(4eJ@^5aTelN zXSKfYhBPGQr>RA84ToywjEl@}CYPTpZGiX$XSk(x4n1n|ev2<)ftos;9c?B5n2cT6 zzgD}?62B6U7PDU^iGw*hfbf-N$RhmPV-+#l__%e;s1Yu1OR`88?_}$|HaDF`(c?GH zZASmtR{rz*3>Y(Uq*V@{xbP`~4aDdWJyQG6UBYv074=@70fGD3mg7CCWN zDKtBSn9E{e2qvh{(mr463nX70h|lcgr7qD#W|P{=3hV(!lr47eDqisCp^wKd`q4vf z+IfXn-fT`{MxzXfTmLeipefOlu3uPhHePvB$MB=CWNmnr58EqS5r+vgh&AI7aUzYp zg_%E@o2j=~M)mr7X<;{5@zYVf7J72Tt2ShDo?#iIMoKylZx9vJ};BR znoeC0QZUTv^Yo6knP-Zwczez$MOaRiw*vweFDZXm#N(2(Tw7274?LDm=mE)3(V|vD zWIaZu$+9wR>Gy-zG=T?4qdNVQI!e+5(}_$yG73D#3u}`;)Z~otepMMxW3_=TI=JqH zl-QD?gfkuHyuo1@>P?7=gVu}lp@NLa{J#7hT%%?K^3NDOdW9X>d=f@>b-}h6O*wvf z5=^xDo=s2mV#Kr*Adh;ArhUQe+KF4?TsUcR!vn69Yu@^Mc;t+d`+V)ly7|IJ#sQn9 zxNo>qH$R<5YjOwsbR@t^Z-o{mYh~%E{*AT;-;ec~h5&qKQ4A%qwgwe`kPnzLmOb;A zU|L;zPsV^J#q%hQ{iQN1-eZeX&P#e8onOs6*nl_2x(lCQZo#R6FOySpz9uk)oxt9O zs7Nfm6S_8tnT%U_$JhiCs-R)IG?)A6+{yOo$q6AkE8?B}W49z5>cqapMJv@Ro6Obf zM2A;}>FIBQIZC6gjsjhr(TqP;R{Bv@$!#2K;yNA816{hB_*`;2!>G5Q_eeL0_I?)6 zG;HAp1+x=uw2+39NdW}6?5EdsqJ73!qnDNe4Q&UrjM6vG}Daq1jIgTuHg|uGdo+{g6*E^_jmCGoThOqhQo;6j;Mi!?KIA;Jn)N<94K0 z!f=W61+iqzj9@E(EN#gQKo4YYkL^~!C-p!2Nlb$Yv z8FG+$Dcnjh#HD<6B*Pp1T`YzTJqG8H&6za=?IND%+b6U#4~<NX$lc?%;F1{&r8j?_1mFPETc|Mnntq$79;S7CbI_@=Rj4&ivdWNzi zc1}Jy+m| zu-qA3C#Q=H-rAci{f%pDNd;)y#)J{{CH{9v0$QB>n5slj=|tntXRIJBKYQ`>gQ$zS z+<>DS8jasVyy6*0eS$e6mR7xO;nks^D)xM|KsDc|Usax6DG8CDd@*kR zPV;C1)-)W?gxV^k8*Bc+lma>KShwzn-j%yC?tgQ!H`nKP)3JN=O}>BYkTlK;2T)+R zWB(=4iez2>n0Q&15SUMd(TL5|3fu0ta5mQuQrJet9vRRyhpiZtO6Bw5dS1fNpw_s-CPxq{g@y9;&#bemfE?l}DddTiVomnkWx#&tQsG@MC*Z}!14?js=!wZkx)q=)|(AiM`%$_IG!3T56tf-n$_%imvB02Fm8?ZqrotRW$G5t+l^Sb88 zzsjroAVH6Mc9;b3<@g4rJ2jGD&nySYoVa2qXiA1#LNi*~s4rv>?Z{3&lT_rQ73dXy z)v<9<7j5H<8;)mN9OXPo^|s|9NKP5a4H0KOw_S&3jY^6Ydb4wj<=SiP7SD4m9n}}}an1up;Y!PV)>w*uoBkZ1nvqIXMn^8pJ6tZEy=<&;;!rU2usHHRz{4Ao+`7AmkgJ6}6qzMv(e5c z$Q6nQH@1kXm7?gX}`*Bq;}3`d4|tmN0G5L4N{j&Pc0^#7&BiTiXo z;$1XP){^InBbFrqYsu;J;y0)81kQZ${2rN`UD&Q>f6!oELm>Z;x=$8!ELB|ZY9%bC zh96Qa=w4eJS9T1fc`phY>WE1zKjVayqTSI!9shT1AOM@=O7XsoP&^G+1q}modjqyE?+wntMiQUf(aBEch8*P zXF5IAWgo#~UCzgN&C3+UWr@!G!-?F`$m??hRXYEMIYX;p?QgAxX}hpC{;C5%v7_wb zBFcX-+VH`}s4nBR2e4POLK1P7j^1`%g*M+R?y{hSVp@~?>B-v|(hnHqgryrwV^qKF zJkD05a*dNVWRRj$Lm* zExibJ>FHPb@GqH&sK&RpHRYST%Kc{aiA7iIH#EwCgB^k%!Xp1KC& zyFgEg+_en(*4Wmwp0BlR{6%SUVxYMC7_M$@!oBrKJbvSp;pMNLRU_l7nYE(~?PIax zwJo=Yih}iEDuoh>505qjI!u6|1;LY?{6RvVFpVhz&JmFC2&*sOzAfg+(4%->ICI_x z5mN$ZUvFZhOk+c$l7dXeCxISiX=MENnw%K=3;2Ya8NGO4GAJ4=Z>^SI#&PBjh2+Md zPJ473k@+%N;uj}u>5(OWcW={xvCLJx8XZ*303W$$ZwsP39H68T-|2p-9b=5I($bIV z%e)2|!Uu2`YX`S#x_z?c8pQ}!VgUj$*c=FZkG^TLZLhh(YxZ>VM24m|AKIxxI(gOZO~FJ5t9xjy2~vs zw;L5DlIwIE{dfNKs#e~w_-gWX7r=(jSra?SY46~`<38IVldV6d=)=?MHL6kMuZH2h zb|4bJmV6SBWv3~;2`zCr8`eR)Ru27egEdRKo7t+0urS`0wl51&+w7%x^*2+*AeffCr zh$du|{KnU}kF!Mh*~U4GS~s>Th+V~BKvPIXj??(N183sX9yUmyD|S34FIUeg6e|Lu zm&>u~$^4W8;OX{$dFUC@M_(5K(-C%6@6pnR(u=w$#Ng*f2^_*;`6KUqk-7be_$Mh^ zg)$50h^R2#QhqO7tkA_GhVy$CwGfLvdLV~(sZ86m?82URc z^(?ZNk6Hdq(+dH{3|yhq%%1Q1-DMb9MWG(T)QD;Dt|09LdHol4QFj!Xdvz`BIr5Js z;Cwwevpo3 zu?7OeI|pHN0HhYZaU@43pFsL2D@9~IFU)F7A4J*cEd>yAN%C&DT7Jso`6M<);Fts9 zGxuA)8_KXg``p5_c&9UA8`e#U4T3^OvxOxCE7(qO>9o98~h z7%5b$7n}N7WYG9lcAAQz@6AeN&9^24(56L48vIZ<>ubzi-?wepvj`NEvJ`m=3#2&c z{7``%p8zu%5HZB1?_8&D`%!a7=H}6+++>KF#Be3aKQ6z_W%IpNJYyl)$tz`~7se_0 z@cP00L&s$jHJ|Rhf%7bqHlKE1RJpVj!%ROfn_5;hb8k&1-0^Y|6aW%#lxCopKNlxe zmrEoVzgc6U8%RhuK0Pq61_CH3R;b8c_jTihsIsT!kr5?gij{lxajwtEXFliRyp72i z?U5uW)Lns5WXZ?^-@}P3kDzNyV zcejT4f!L|t(>f;1SJQ6djhAVzSt@-*QvydOCYM=}VVNA$C@w6~bo~2H=zY+@HdJ;e}ougf0+UstXVV7da;>($< zVP#P>ll6UZ>!i8&z$(Ub{y$OKzj$lG#=uP+UsV&cn+$F z1<=jzgeW!BC^{MpMMS($h5TO5uZ02*!}(W3Fee}xXj{%!OEirp2-qFQu|Hg{1Hlp)`Lae{a@$pgWDs`__r?n&>r@<~-s4Ug!-aaoZd1gNV-3Kwxf(ZH)$x3otiLz;e%NxvC;GMl+y42tO`)Au(N*qZXthcdgj?SS>FG{^a}iXFY^XxRshO^sV4;=JzfArQ>Uoc&Lo}wUS3; z!&V}=P}FrgVkkLeb|=uqVST-|95@>cY69Z*FVBg4KGMHBy~osn;QJcyj7sESQ<7Kn zm6paa+q`QrrIz=vkiyLHv992+Akm2Bpto*OTvB{|e<5ZR-QXeyV5fWMG!=iJ9CbHf zIGyy=5H8We!v3_BJ=RSW5+hZrBM~6HUPtHG+5$**pJ(CdPnvtKkW<5ZDDVk0^9dyK z)iV2GrF6iHFr`!mOVoHshBJeI(FelMsq+ahs~S0xbgvnVW!&sT#6(ou1S7KOIVLCtq?kJGw+6tMcCK31E4fjRR z@%K)HSPO_;(WuQh8!f+Ea}v~(l6+xhVxB~k5NW=R35Y$U18u(P(3Pu!@CO5~D89L! z+Frc;leGB*mn}WO1Mz+yuuR6>i{%hpRA7$v3Nwo;j?UfxpbB%!?vza^SKr?sg_+d4 z2Z7oCd$$;CX6;1c;AGIt4^eNi`g>{m{WH{LisU|C2e_-%+5Wp&WF%lT2#2ScL*U|9a+ z?n1*1f>c|koFqHW9?%=v_l)$GYD^b4tbow$tq&FzLYNas$y07lx%e0?!p|cb0polt zJZXYWG4$1r$PHAqbk?7_?BxSJplP2{B+ch2D~mZavSW|FPHU9?ky7VsZAH0-G~eL` z!3iFIYM|)muMNTP%B-%H>N?+8+WIO+em-htB6de zk;cHJ%!RLdU8|q@KMB_mA0nxkULDzAkz)L)H*@S!D&hG4@FKm--SAmF_1hALD5Ygi zJeF{0Wv1R9Dto8=OuhPCcdu+Z#qo7XGV7QwH^^(&^q?YK7j0FA^hDP|;)dTU16q<* zhXuf1AGRMysinV{X{T7yN5T^%*UY8I{2aOt?qmDr<(;gDP+*%>qqXE{N|!vrUK`e_ z#2HOB$!?cvuBE$)`y1UAl1yn1No zTEa%ACC0$W+CAb=7^Id%alOt`{WMA+&=XRTGJD z(5wC7#tCw>KQu-}V6?Pi%$h<=6T@wf@aP;Sk=}M(!1^B+E~hVJX1aJIwFQA6S}9>6 z1;RwRX8t}t>8~{~v#x46BKe*ZCA$at>bf<_J*4m__f~%nK`|9B$(XC<*e%2VDC$IA z-AfPXqayP2%5%dC?Ux(OGn-!0{R6ZRUMlOD9|1-3KEsC?J)&%tlcqp^`1^vieMKOb zd<=BKM^!?D&O@bE)7h$&-eOT-ANsej)SWC(eGeEp%D|**Zs;p*&O~hmIU+F&hv#2N z9`WD3R4Z>l0|J+;arUI8D_~}u+K7^*_;GPQiudE~?I9`VZD6(T_jc}}3K0pwj--nk zVzog(;1z?jgO$rT1)hN$n7jrFeV=D1e0%rUQhq%@zUm86n+J8ll=CjybwBLa=QJd8jrrC{)J+?-v5cJk(l370c0}ms zrK*jX>4lf3>Go#Q4W#toNR!Au;r-KI4eK(dj@>=f{KNAhMzCC-lQ8MX?vpb>fxKiQ z$45xo*$2zxYSQ83^+X`4XB(ZKeRuLkLq{%Lr8dRD6b~Y7nTxrt$vC>NXztDvE8b*} z${5!z%r5hVhz5;_#il|-w`r~bd_lz}EUSh^7c+r&)A*9fCMSGyn0yn{wI!83BGxSv z*I|&sh@j6}Z`4?Oor37#6-C!B-dG!7>^CAWtCwJNT>(A!l3+2>){?cfoIjvv?-@D- zuD|1nYpZm|!gT=UMR35$a!aK8h-Y>*GS$Kx?cr@&)A#|va#bwMj2s)F1!U;vV9F#cLcK@H(uxr0>o%1=F zJJG4+T<`|vXT5l^4K*F%24Aq1F7v!@iLnh8?{z_Cbm7(CY+9N>dsdnc9iaRdry z9E4lyli4EFXth8KHQkSD#|NGd&^D2A$W*ZAaJrZ-<=r-@5=BKE~f^s{W31!yV<} z@A@qQ_Pb|S5vex-Nw_&VEZ^}vC!zxX`5Tcg)-b|?;c1%1UR~N)%(83c1d$R)!S$9c z>2CVhEtR)+ba4o(zUe%7>|F17gB#Y6KWC(J@m$=723fA{`TvEccnLvJjSMk3_8Lb> zglUF5!Xt2L=)aK59dT8kDJRDfH(p8X!!KJu1cd$uoKU~Q?lMw2J1oLbr#U{Xcl25Q zHDFge=Hq@=x?9gbS{rOXH$zDPewgt7(;tJuui3JqpLF&T9bs1cjbH3>buUM246ANe!-A~~evrzLr`K!>d~iBa$olUx3O z((nJd)t~$@NhihfOcVJ4j$PY5Uu ztFEZ{gzVyA%JpvrTaivLMk!p9$wU$)e>WXD^KQp{R;jJ#;7i0>3fTQ5^t=UNP{5|FMdxWss+BNXJ8Z3*Lv ziZL|l=h+lT)YWU$F)GrA$Pq`!j|H;)|&we62e;iD~C?6IY&qUoNI>y`K z2-0dJl08_d(AQ}JFdJhb7gd+*O%Y@6Zg2T!X&O#&Jc?zoq+~87@4|B~Z^V+mhe~3{{iO(QF zKwPM638h!3WJ2iqa061PuVI|Lvvu6aANEUl;pN#S>>bj3Qn5Iokg>B_^%K?eJQZ#eW<1&+`Si01wv?!dul})C*VW%bU7|JB;y+N ziz}$4jKJn{D|)xVUur9mLnKW9VuHk8m zgJ{d!HB8L)X2;X|k;rzV(u8%Lvz;8lwM@gi!v6gfg=%+~Pc&sCo{W1(0)k3y)k?zF z{~XZ_EDeuiqsM=stp8F5Fw_0%yr3B+ilo zlCnx;o=pHy-@K|h$MO;E7SqoX|D9y=bK&)e<0Jj;R8F0E+=DT(iv|hzC&x-M*~_w% zH{O@~Rxud*@khKcTf`fK+y}2P>*HyyELN!#L7$us}(LzIW zEX$h05iIkaxb8SKY%xFTyQ>KF$@ro&4^Gn+im=rD#ogB0%IQ_|-@O0)H99&o6U?$W zrYH4wrr?M>rFjK?nA*)iy3emh>?K?}F??4&!kjlNRk}_c_cD^A-kT5A;B2Ef`P0S+ zbX~I+7bFG5#6hbv@sS$5ZZC(XLV6Cp#$}(o3Qds+m;12)od{tiHjd**9ushtvtq<= z<8k=q*7G20wY493q(0pVXBY}Q!^2Qoy<%jjiLhKu>jTN^g_go%7DrKZdve&zIU$<{~S?Dl$c z&|e5cdFVxvI3hhuOs#5U_R>at78&|Tf5B|L1nnq|y|BOrG@4=ugU{9^tAkmK<$D=f zTO;mkJiKH}^CW+rg_et(wqQj*AHvUn=peAidHFVeG+2&n!ompRTR|O1e_I!pMAUwu zocmZU_O(0C&2g(A(M7_ZeX>R0$3UlFOETvDR$O`+3~5uuDk4^xV&X>zBT8+hY*i!}itT;XnAt*Z&dII{a_{Bc{PYRc1-#(L+)^LelLc z@g{D|2-PGX*2OBd^?Cy(*1pzEa1w+t^QI1AlcI9hyus1E=g{1&%7JKo8l*hB3`1F< z;GMK74h?u4!-sc4_RenPbk*>Tn6=%iA~z~}^v*FnQXKJ&Ce*TvnBIhSVG{8HCg{@t zTR{zr`sTNeD`Tk#4HA^6y3fD6Ev1OK62+K?G7UU})CuHdSnVDI#IYI}hdNrBD35vn zEQ$4LqKGSQNz?m;uJOnjejRgFHWW}69w!&2uim3cZNw*_N!*SFwl`s$n6LfY72H6| z-3S(2op6?3vBg)mF3!bIApw_$sTvG1i}6x8xaYUkU{!c@Fyi@j)}QEkH(X!K~Fv7txWUtG&?2sufXxpTT^9|;8|Fno>I?p6z2K$A%W zR?MxP+j3y=r|C3!j0#2elhYaQYL8{rfX z7(|7THQqW@$^m6WQUuBIoAdnY2m}ig6>|%3+Q#&A#B3ujlfv&vlZs#P5a=SrapwPm zG-qYsAeCnj1u+Jccq0cl{D@$sxKC|8|xYOM|6M6a3p6=cdrw66!HiwC&l?g%oE|+<-v^jwH)mfaxh^sRpb* zFODf?$@yduP{N2C4_#XtzcB`?`fckXGUw_CrnrAf#7{~?Lp~+;ZZhn*T zRU!;3clfiyM7iw|sTwKL7$k67ax|s#s3<06dFy?k4#IFnDQ(+d7 z87A69sw_4P{2r1C))wYZEJHR1t|%xM+c5zHC48yY$CwK_QWXHBZhLGC5mqq~*y1s| z!dZgdTwL5+R*os?5Gv{wq}oVRaaP?@0Dw=ycj~gCO z4w7+0!I75-g#&jGt@Ll3b`oFYABVR?8#57I+-rj@1(IUW*$k^7$N9o&` zM-Han#USJT%}JvEh6f$%0PIBXHq#9|@mS5`Vm7C`Cztw_CoWG!G8-rK|EwA%j}+s3 z?;%06V!Q2b)Vyhfl^6u)NFA-~uDOadBfXx(O~iNWQE*Sn>%Q&z%S&F{SNfH4arB(! z$ktnFylmg!#&Lr1x@|@o=+PmNH42_wS;_tU)7@)S4Y#7IQZk2ik>*a_D0l7l*fMxW z?Pc;@GJi29`c0bkAg4!5 zB5v>987zKYGlXddq_9U*xx~o3$8j>DK8>Bq-<9>>8pSAL#wx2g6>8KdDI`lC>a;e@ zjC~d<zGe0;g=+*UQ7cat;Kd(IdzPlzYFY&u zS*S25x>OI6nK=Iv zSbfLobec})<_=b>j2Tvu3~0F)ZkP&3!Z_pSa#MORJ|)of)M|u8LtAN~C@PV}Slwm6 z@SfE|sbZIctC=n6pc?&C>O(iQN@@|wZ6fr8!9byCd0CE zE4IC#*93+ZNsfhX)v{71hySqO?VjfWP54r4ln2Bt8y9NLjUcpZn`qHL@iq}F+T1DI zOsm?3gMT8o_=ErBK90l0eSuITO{ur1Z|~jf`OmJdw(NG^eS~8H^7iiogv2d0_t)3I zgOQ?i__Iskc%!w&tJ|-yx3p3LY%>9Ut^aA~tCE7WkP%9?n-cDaZBCjtL2!FLuH8 zI;z;tW^jgF+It;q*DS2`U~fJt*RtNPVpSC<>h6=SVr6vjvW$7d;Ko^pRU1D`aw${k zrbnV%q*A!oNZ~=eqnm0aWLZRFNsZcJSC924-%^!6ZqKv`Z7ML#+KPvOkvRD}9TzmS zzGnlZ)p!|=Jl(eOVIlr&Bz2F$TxVBgyOWb)(8Gmvx+BGJV+*(4c1$qMNx&c@{Sa)b zbN^Q{nnd_-Fi!I4ZoRjNvIwq~@pys1JjoH1Q*LlR?fc(B4;#qAoM!KCR_t2a{G~oO zUvo=jW;!b61RQasK#7<0GBn+Hm2!#)Zbi~t-4FhZZ0_Vd$FBwHHDm-^jD(aGEz=yy z&S{o_U8D+heUR=_ekKaLcWl{|8(CS*pYcp22ne&bGjs=hvkA=_zgF?7S$2|{*QNI% zXI~2{V{v8RfpADhcnD>vXL@l7U=Dh#C84;l=Z7L}AP=Sxn+E*8Cc!hIi{SfaO`eN! zZ1o<{8U2eA64CWj#f{3Q-X}uQa%Gxf>EC{1hBc<^IpfgD#)!T`{k%*Y&+YbrSN&=@ z!)}?d)4O07EP~PDcezG_5H$*t%eTrQ#!~D&^F%bQ%kKNFk|s!=_p9s>q7w29oL^=| zzAlb-f8cv# z+q-0B8!!VU{Jdy8d?bXpWm_}tu{#f$d3%@r`<~J)8ErQM+kC=g?vRiB^J?ccvm4v- z$o9t4n`JgQ8aSxDl*Hm~UpcCsIxA}&Z-vfBTL1qzuy8W#R~rt5Y7{AI(}RF}3H8f% z^ONpDUsA^*CXE@ozF)qa$wDN_xt!M@ca>MdP>n5Zq52?U zsv~j40J?P`)O9(0W*fD*7diMx#9IjRAdgEJ&27F24VNWqq}Ht3Rjt7`%3CZthLe74 ztDW#9ru-ge!d;F$TQx-G5S*QS1-{MyGS$b#GX`tmq9IC%Q| z^<{s*Y?>gpYT&o&DSTesBP%ewMkvs^wYBYBYX&NhJC5J`bu^Po=H?{~isyfJO*+=w zlBub64(_SN+A!%x{BU+-{IjX4SqSKrLeu82JPhzUskyKs4d_T4M5y3$dx!6Yfa{VP z5vy(27~skA-sm!U8(J#2fC}o{ixwy&i ztqz7psLN^IcYsQN$x@ii4%-TtAY&z@;EgEuaI6mER~wwhRoP8{dy=x-<~#f)G~+X6 zKmZ`4^o^Mon+1QbdgSn^i!vg~`6~Hk!=AQXCkRkF<&d|VGv|<{ zRqHh-y8Ayt(ek2Uhrk+KL7n#qcfD3+ieEz281Cv|&tKud+24;Vc$X3oO91pg3X+K) zEg`s-V$CXL_4&l-rqwskdFNk&vUObTz)d%s|*X!*2I_s@#m&lg99k2j|F#~vH-biQn{-WQy_DR4d1Lk$g zbk64ef!K$BYZ7SAvB133WKUQM+~IjrFpk=GY>H!G8xDiN@{5Q=g}9kIM!P8sHFAt^)0(oyZIz} z7LNK*dtgy~x(~72}?oz2Q3?i_V)%U_5sHvOI^SM#}1_#ji$aZb3 z-X}n({Y^lh2dL?)Qms2jO&toxqve7(Tdq3-b<)rK>PdO9sl@&LWOE?Ikn!&j~TKK;PH=}bAA(+fAF!VckgNX9i4$qRs%&4AV zvO65O3g@iiZF-PE^K7FHNPVzs#U!;{K350TzrXYqjeoItb z#>s?~qn(B@p~mVt(#tp4PdIJin99rAbW~gobR(5V#oi)Zpe7xkn)Z~cv$x1j^6%Ty zAV6j{CbYu=oAl;5Bj$~&b9#3Mo49yI3Kgu)kPIMtFxnpJccT%)ilscpC2<35F?Y_$ zIH>JE!m--V&blEl>nEa;v}XJtOjjaToRLY{35<{HjeN(CW3Xeq@fZy-(4EYRvv}GpyHv60RM2S|E5GNHy>_+E?J)bxIF-{0tg~0kU>Q?M~mP8l3M} zYhJf_>^W69_M8Z6WA$BBy*^YiX#QSr24BGYG@t*N7=hYhz0n06UnHZTe{SEzO(~(n zor4cL6$r(CNeQ?2nJ&Vf{WZT1TTSP@BEpJjKkP`w>ZV1&;37f(cS537&52h=+n0#Ycq*gZ{}p(c(5oWE|AGX5(7O`X{Ry!V%~g}y3J$c)2{&-%#dG>O zPpaUnP(f7LpifaVbvMG2AI2LRg}|)Xx2;YyfsOILCd68!V5sHa0G&k_c@PNbI4F|> zab9w833|duh9JllobV@kw^aao?wUcET*m* zSn@i4pv^U*h$;S^Hm(MB#R*NF|K18X^-*^*%o&eumruWGiLV&2^d6y+KBtH+W?9S7 zie2~ROqRV^)wh90WVAe#DaN>&o$a=CH0L6FRJ)|TEtB)rD*wju-uIh8V{0M?`*lth zAwhT~CY&bpIJFOE7s%i3pZE%bK}uAoj6q!etbrw(?f}59AoM>-Z(-w`E6QCiU}8)aHr9V2YjwE3+>#& zdiNc9qPmRi+vi_R5Ir(Tct<;c*#|Pnc^DKK-0P_K^533#+|JC%HR@&N+z-$~Y&0jK zDxB}{b9#=6mXUtI?K##`Y&{ZsnNjNS2OtRxK&XPH#f`J&EM7*mf0TOS2?f0AAr~Xd zYDFs#B2X6nOz`F$SCny%k!e1cRhEJDh&RPX8@ylt@kxM>kjJW802n_xKFdh$LKAay zZFqQKWi2Agg;je^#RwXrcCxna@d@P>iN16AX)F2$&-P|yCW355lb@eK!3EjaCgo-J z;7?~?YflWfk2#_b?b}dNB?^}XH@i(g1(8~Uo-%o2Z&+{j6r+Y@nY zqbw}&INi7N{@JeSPZ0Qi){QuDZ)Pas-X~TjEe&!y>$DE2QcH=s#tt^IP*O z3A9{E|Iag_URuSEV19{kyw*Womtvdl(P>(Rhlh7U(U(O~`Z!l4&FvLBNG5jdE^1b# z&uuye?>Dn9RpZC&Di3FNdFJ*0!KE%^mT$~;J{Zib%pD#R7fgy#w_Jb(^4$6lc8gR! zSGckC1urh?*(;uH4h&1i7(hfS@crq|cmWP0j=~c&l|RBGbakGsLkM~Rf$I6QOu8icZ@tQ^+IdCvR8cj-Uv|Nu8!{{e01OYzaiv*SX zA=LS_m*}c@UydG|#j1=Yt9_Y0H<~!Dt)KirLo@wh1%$ZoAsAxh=m=^>*ky>W%qCOZ zPX{xCNKG0ueI1udtu+==doxyIpZW|pFWe80)8)Yk=+O-W`Ia8r`Y}R5eK&8Jhoy-S z4_#U+j?<#K+*37Ae^_#P`P?G$_wq9?kBbg^nap`L{K2I%sA(tw!wD1~rgMUj$>BN(K1WrbQ2wXXJ;l=vo9Av>$xjjMjS<^|9l zwD0NXcezuUnU+$zzjsKkD=aB3B_+lm6e@%q_Fuz6YB*n&u>VD(^DZyHKWK=*Y6(Ox zH9i`nE_^8*^nQ41O3UTB+5mnG)#K0J?cLl&pA#2^W3adV#ze(~xul+xG})PHanYrJ zlwRnLg2q2CL%~Zfi(bxD8axJqQ^)P0-{K@p&4YRI`d&`DsQ%t1rRck1*Hv2HR}`L= zxlpKCl;DK)k1=kL*DR+Loeg6k!!mJILC4n8wP69l#?P6~G)+17jSKG>R55!C8)v0y z++AHpOH^GTNa3Yt!%70dmrk{jG^DGGTDT0}*YxBR&(>QiA1?|@v-K3vZ1-#YAwyZs zlhUQ^$Kt_1OChu}27lM+GJxG=U7a78Qv7KxkGRHKVl`1Fqz|d4tCEJ8Iz$89-f&mq z=-&Enc_=bu=Adfk%k4#qJiRchE2`B1-Z^Wwh0uCREfCdpL7AK!oPNg)5ytXWZmfwI z>>>mz#5C)&oA7ZivGFw6w^0U0f!;Z28fX-2ZcUDRf(#hQ2?tv3QyilwgXA)NZte1QM?4L$TK|oYjEiR9vnucJm}!GxbGyN{3JyRU7hol*D!s2#-ORJe18*PdeVJzg8?KuBrc^nJjMTR$AWefstFaSkq- z#i1bH=f^|nV^j0AOP{ESq!Tqa^Eq-GI~l>w7%`jkYFy%dpZ5XekTog6ZJR#lWxA82 zJR{D`EKZdWyw^E4w4k5f59A!7hk8ooSBL=~EaZ+<69TPj2eA)KE2yU}J56-|=F~7& zW7huh97iT@HK)it->^Ge_>zGY{5db>7Gazd?{nW(A=*L#3xi|4*)nEu{v?kG0(tP3 zuS=dJ`0lxr%JRL4&#&Z4yPAd{S)9^uhsmV-zl0ItwxCWhOz#b(bcs4eMH}}Qw+`8I zFuFizLxqUDmF|q3N=X}CrSrf(Kv+PP; zPU>&I)u!m+W`(q#bW4M$ACZ9Fc3_m|MeB~2iPonR3VwdYe^X%hn}`j~TYPSWX8?7_ z6%_2J?`@h+iR>EDVOj;92eU|>cDtN3*y@h{xew?xopWgQeWJk~)VzQnSob||9L4aW zWXBH$nE8G5TXX3=^>HC1+vn#KsU2-?{s943F|7HF9-oW0zNFXRabtl@Da=arX{c-6|$~Dnuq|Ifn|S+!1$wSTDS4Tveog+187R zkJ}CxSxu2BfACI(f@r!F-#fk0?BB4IQ$9@ZkBU4XY-EvY72JknPmGBul?>>%@~MV>p!WdU^_L5^g#3?r%d1P(Rdk!CJ?(aNN$u% zt%k0Vxf&=6lA}RfKuk{>MR^?L%`mDzF-h0L2o8oX2lXkI%QMkW5=Vt@SBEBXQ{fy8 zlvI`5x;oRaWk9E=ezK8paq)6|{{;c7tmC1W5NiouM@o6LSiN_O~sO7 zGP#BM@9DY&;&`(esOi_a-w(SS_La>4OnF%lWI?<)HpW!>GZ)sJith1tdwm^IRx#>M zs%~f7Yw4iz4xS~@i2x7$fyV~HLtOr|fEEP$%^(Cf{F|C8%2b_d2adqeq2QkLFTkxZ zjUiQ{TkFgP0oBCB#L_8vj71Q9z@Iy`$tu}A*H5JFTzS9utqX?1(V`EUlE_{VfLfR7 z^VR`Y!2YIl@Vklh!C*zPKt62uV9tJ|cJxv}HT5%nb-B8v;u@NYxxS?8&`9jIT9G3K zqTfdaV@jvu5;tI2!)0yKuAJTcy*~}!oxkpLg`|a^`ynC4Ig0IKHPWUc2}zH|grD0n zwsJFVB{rEHM%k}3bAdhXO{lHAc-+K~7$`lODfzn&C4_qp0MGV~m~~ON^WIzTwHHn~ zHo(~6k&#C1LIY?z{f>z~w!R7YqP5&UNx zfw1Gy){3&So+F-f|NDt0Zzi)ZqlW&@mxNx*ps-svcg2gWy$VsK&xKlPD0n# z0M&*++N{^}*}5#qTP*i!E&e|$`(;?n%k%2%GduuF2>|zB!pE30Q@KrL{2)CT91pLb z3sQ|=?=E;xTZ8m5t>?H~cxQtqNt1v+$+OJvK)l54zoV=P*W7<;B`yEsb^2fKsE+IL zi__pi?`k*4%$sf5`hf<3g$k7^=LCAl?xtWRT<3dtWewfZbRX|5yWQUhYZ}hM^*y64 z6^`&OIp{8UL6v@|{b8?Pj|Q$lhdtL-x;NN(G8s6`HCGzqb`tgv>01i*?@9Qxu{4r~ zim#h7Y3*Fl6opQkMj9^4wrRw)AB_veB`YgE^ zI1pns0ldka_w9s_Crr(ZUtRd^pB_WZ?&}_3(nh~JA)3V{AZ^&i)ux$a4grPuCs+$T z8Vk=xxZ-w_BBoiQmPN55!}{%9l4@SPQ74^gcmozhLa<+^JlV3xwKA~s!)ll%&;hc zYPyTZ6OB(+3LbBOb2m=Ys`6S`yiH~xdI9a}dcw==mHO*e6h@jQe6#akiiOcV7+0&q zwGMo7b>;c>Yhqc>{=GtIhd~P5lq3lMhj;1CmbC8w13v`v zZ%!d-J&>k({`f`alIT_$@T=Z~3qS(vAB`gY>mr|0rO@4Pn z(hhvk__-+gjVz)g-uGS4C)T8pt^RP77H8}$2*o;tK*MXK{|J*VL1{zYPqlieTn^%m z6a;$5E^!r)$sh;-PJ*YK>D|Oa>%HMcdHDm%hyKhR&b`sVC#$k-C%GgO{1zg4!c(Lv zz1pT%9fYRqET3DOqw(d+a0>^XmAw}PVLXBCWf%Muw&h?eX`2SpY_U}Bzp*pj1l=E+ z%<9v5XolocYSI+## z0^YHZLryEHP2I{c13%q~s9v|MNdZ+zY<{0JbpE=vWH;;)$m}t)Ez<46?*{Kx51IS) zZfU*0Bpvo+B;6!RzvzSR;hi!ZfJznOs-rfwWfX7ag-3C9{P!msLWT=^=aw){$@IFE z_w&Qm>wk06!`X_@s<^kX^4#G)JV)c}<<7c$OIBJ`l)ul4!JG#mT~nxyTDb9-uYs-f z4*>#Vp}LW6CwS*Bm8&+=Ug0}-FGh>onYWe@BXwssNBI}lk^yx9*!V{?&R6grQtXxAxVW0&Wynu@x3;#M@q{uk`w$=9JPHqUHO^PPp_ z5W1Wg7j4({FCW1N@AJQ`LE_fBDP>bnh}E##+>5T7N&CQji|;m8nsb!Mkmdg|&5pxz zA>vL-V2nC)O0Ty`H+21qeJ;ugW^Jl^TY&o@QoiFLM(fJh4Q2-4 zDt7~ID@r{qJ(Gun;yqJsh)2qSE_Q_XYk|Vt`$G!5CLrRIYK1B0S<^ha4B zXKr{0S7(q}B07~9a(Vv**Vpb2CX(Nen7#0+cCwxY<2b=**X(*xgfkN1Q~Ds~p>6k@ z?cbZ{Ngic`_Coy2j*^XJ59gm>c0Nl5-0{F-^W8UJq;27Kx&%B{o5{W2^5@*ZBVYb3 zwhQ!&m3-?BanMxH+~Go%h?~k+DYKIOMz%~BGE(myA4zT>oqFA}5Rc3{yQOq{>@3vf zR3zNkuJNL3tHf+|V6|MT=!7pQrBnJ+C2>TQV6Eg*b9X4FVHQ&9@8I*!+hn~4kl9h% z&a84gYsYGe$bI||AsQZJ(N3QHuH7;Y%3#Tff$S7!fHY})rZw=T3^j`?wk1v7vU=jo z(js%leh76+E){0sO_<2twy)HJf{)Q;{6wwMN3}V3LTT~t+uN^(;wiholN&V;vFePz zk@W_UrckUtuyc#LHifoM+;cDneL<|T1ftZw{{jn)s*@FjdOy$}=Zhc7`4`5OAQy8S zPe<6JxoB6sV^Z~vJ`Pa!JpT#)@!0i^nf)DU30TdVO{a@K5cf~mbOq&R=zS-9=IEvU zRQ+gO%YJ@|Zx%3_pGOyS_ApDCtACzsj{C$oeSw=#l+`v5DJqX^bEcOVD;o&LP zZS4Bw!%BNCe03FDh$&DWHo9IPzrLQrC!|Z~C|%ftcs?v|=j%Q9D{c50JfzQo0WR0^ z-f!S~cfDhBn=SpYN3|&Q9~hw{tR@CE?-JXs#*YV9XY~LFw~0`h(8AemVjL1s@R(-q zTlJI6T_14qF43)t50j6AiUU^@&Y=6I-$kJOwNm&JE7dr1+F)d#tnL^TUo;X$-h>MA zn?7}Th%oVzTJvgk49V2qqCtskMftd9jd<-Q&zqeJ$vU$*(mY=!1dY49KJ<_yUqG2b zZkGo=&lPulnc-Hiy=DP&thRg1g!5c&tBf(+eh&nJx z7zBBx9v6k&eaPSz7*MVp^jIX1cRC-SSH=tV2t{xX24GMmnK_pd+)~@8PQMPXT}8m~rINSD z!n*5K80eW$piUbU z3zEpqbGXia^wL?Z+pWZ3_S+;%`=)T&xc*sI$)1+!D$m}7^)HE<@-C(rrT07-A=C}! zVAfXNphEE>ct(m)ho~LzuZ)YRhh9C#g0Q-e=jN1=SVpK_<#ST7+qPS>MYQm>UgS87 z`EaneO;;$6tpm0{5U#DRR3h=X%cw0t!LbTi*MvYSzy7c*o{w6 zbOw`ge4kX;h5CVWXDJYHW>X5J`iF7u@j!I!cFM<6mWC6~dD=3=i)@0sSvoYSwnpZ= z^g-@g6HidVX5KlIp(}S5cO_*Q0N!MXkmIK=%bi{WZ-y3MX;sJiPXu5EM0(KfaL;S-T5I_ZgiIStHKA_t8{y*9Y=#rd$r7PC6c#^0>Fezsxjn ziuxsOx@_UI0~gWl>;1}U(0t_poSL?IRZbF&RhBPU_PD*dMYVc?ElqkllkgOPce3u< zY|NE#A8JQri< z_q3pnQ(KO5$UA%~A>CGvtY1AG9%Rk4HDO_kP$gOXCTHH#qOnukM`gVKR_}}3Q=g9d zRK5lkMjv(rgZecW2{A1dY1SQCA22~(2}hq+O6Fx)PcL32T7R!rb(D~T#x$L@Yx|}X z)#WGfNrq+Cut>*`w5fitw4N?TdN_MB6ggq&b7QrJO5;_*JB_6(UjsY_xtGms7gIQP zyfB)XQ0>beO-$->DEoUWlj_jjp;6u1$#f?1ap74d;qJLDw#rtcUtE;pea;n2N(|Cf zWq#?LrHme1IZ_HQBpreUt3Q6lr(>T9d&{20Rghu%|5X#jx)K(jwO;w zGfQAI1=-vbihV1L1q!-35*FUd0R_{09W83_+?#&T;URDv(6FBpkGa%o5AW`LvWTT+ z>$~qsxj;!0e=P=o6ww#sSJtY{s*B!s)gN_1Mq4GySiC+P*+wGbQFX|A@;qE9f+vRE z8vnTKTjjpy3xOX40^k#?742EU=S(4V1l;pLyAGdC-#j;?$|$$4-JyTIkJMCM0so$t zXVCu~y0@4cxMtNRo@&+ln$CJ%{|pEetft7@0HL||t%5BRZlB)q=3fZ6Rf?W1Tu|3UxD*k{_n-wl2@fCG7EnmG|; z?x;Vtm|7yF#zB!^_iqb$`4Pr)xFdz#8d&Ef+t>t+nl%+I6=-xL(oriKoG((G2{&YP zo$59P=<&?^ig~Bcs@m7OBnpUg{ISk_@>`*YC5*Ge8{f$TX&JFhWAV~fKPcL zb3va{s=z<6BjDz%`iAq^b$Nz=(!y6Pc`21J4pQe2gV9QZNKGq`Oswo+{xmZetx znuZ%F(51=jC9pwd!LC>EyyM5hD+#*OD-bbGl3_*gN+SyR!5mO#M0RnzU#_{E$IdEz zWoG}!A@AuWXKNR!!D~#BTy=2M!X!TmF$2Z(D~)sz{-tW!ub|b{Rp{1keEQTrU`6+i z%xo8qZv#L_whxpBOd{Z?P4B%35`?@@*NDQ05pt!%Vod!q*+hx}sBx8^PrK1vwrR5| zd=vSG|0C$epo--3tsyS-6Wq+(EG#Q~2ikosvL8NjAj} z4F_QUkijzNPZr_2R*$%i+JND@pPsy_Fo#Si>N7jt&#NkKx} z=tshRH?>h{Fc^5%KopgJh#9zd=Z2`s}Jzd@t4YnOEP~ttgb!6JKa}Ic`Hw1 z6?)bQ8-qRjS4}dkd zKO-(e9;M^^NqwBa+NtuDfiLC$lsLVy&5-aD*-##56zfLn161slM>B+49>H-m?Co0; zp&WA(-{EVqc3UJsNW09!^RQtU=f;LA0l8L4UwI5KJ~@4fcJbKMYYHkQJ3L=em6O!E zZqNY~wqC{i4drBUKO=(p`=ek_?2s>J!l&dK7w;bH3Kj*4$?3{8YdMXS2v;QiYSfih z<`o&+l?{xa=cx!qxnLjnL|4TZZx3$DGq;}$^Eb^d95zc_;{QhI7Gx-std+%AI8Fq3 zSJ_6R0Uj`&fyKkFFNs=ZMWMe&nZ;)ddAD>)25*hlIqUU@h55An*=CzQ6F?yvK;_|8 z&rwj?`ektU!HP(V`&PbS^~^(0g_%>P#2gW-(c&>mg%#(h{>To_F8MvQb+ z6u!@e%WKYW%zkF0+)B$xY*yj z`O#yFR1!VvW&sb}s->fc}pGnYGh>su!d^0zoGbVHT(Q0XJ z1$@`&xP;F!LF|AMdNJyrZtcT%(OaSc{Fzx8MI8`!W@Nbqu{Y;!z);w>6AmUeZdK6( z@`A`dJKH3)*GSwteu_=I&-&|xN-9t3ykB>UpVg>&_zxfIrzu?iO`qfS}Y%`Xy6 z1-SOmFI?0XSUSHKLIcW!MqccC;i9X_U%J3O~3GRj>iu%7pyYPc~RCuOF{y*l{gsn~~dHnP{$*=J<^ybQwM=8NWT*z;#QF3_kG*2H3_ed*^J`Kw^^L?rzP&zKfmnXPS zRvT+SS0|m&jkzhqm$39bDXzZslHSm5xiQKu=EejOR5(L_)pW|QNK~ucs;yun%;s6-o5lD4%w!dANu0AaqVBIZ#P( zYPbSZ2v$z=%$mT?%dhhKND~GLzhCUWDVY14&iP_2@YHs*uj7w^5M8r0@Sfl0flc7l zy~Ff*n$8RdZi}6u#%}e9R&SE^foL9i8=TfDM2?7m6zP4Q~K*cebZGYuN~8+i4y7-r59P8=FCJ zTvP_syca(M&ziQC(Xv44id-1PYu77|B`mh*VbTv(;{0R*rW0zzKmY4umUcO3-%BTZ zm>E7#Zixj)L^n*!Dv3WS&oTo$`SqOg7(aDqPj2*QSP@gt6Y<t=uZOr=C5PJdReJ zkkwHpQ#wNs9UVWuc-O_|_^iquU`covg!{LUmT9GJ{GMtI0)hrrndC-AHyGdnfUfK%Ni zAz9_sPVslJ)@hgco?xS_Wk-gy0YuT5w~)52zJR*4AI)b5FypCBX0M%eSn~h*k>jAKyRPV%zuefS^>)NL;x8E`~3+Ya2B- zAEnKJwoT8<>hCq*oLgaijHx);Xf|<4TsLlxkqL_dDMGjf_Ivjsx+^i{ZKIzt4Jg=4 zSqOX%WaQZUw;+WmaXU6i8BxwtDgdtm?Qsm<>5)1b7nw5|M+Z*eNW0O1uGAQPagAoE zYrXO}q`t?83g^hn4FwX`a+jPf;~yr0U^PmCy(T$sJcJ6r#O2jhalee+100pc2qzY&;*8TKp+lNXRJ0ZVTV}YoyP)kHiilY(%{pD;mlT z=|tf(!_YshS1mNQ(oP&~$*`*#xU+2WY#TKg1;0+e>n$cwzL#R~_u zS*rP~S(G|*c&;E`B#F(YCqoC%O}k=?FKmnaOKX6*a(RdtQ{Z%V>Xh4L6tC1>p#fy9 zxIu${^RzhtaL2fu^Zot(`FwV~?x*^g+4tXnzg9wrgrh%jr1f-Sst4@kob$RC+LddT z{H#w0yR21HJ=!1Fi12|tY(Z0tgPqvV$Esd%nA@tzXU)j_4V=1=G|>_M3|_5H-bZtb zEO;8*r>L7tQtAT_uB>NoI8#V~1%e_Z0^FsJ0j%9!hfKNnthJ4lGBb}@SnF^?juY)2 zH@c|+lIQuDm>r4+4r3!R(*9iOVubiF+YDKXDP$3OK1nPJhvyb3?ZjH*S}p<8OPk>o zq(w!GxW(8`n%1@fsqV;jWFrQMIY#;K(3Zqr6FwqEYoVdFAhiqKB#gX?8L?!x(kVTp zwbepiLtXV^LCCSe#3;gNHzL|}h7U+c)06&H@rQ|37 z_(}il?7>?<*LC${{!_gS%eMiDk6rdnx1}UHwmH$rA%%@%9udk8zWA7smL=)b&NE>j zs=op5cM@CG)f&8Am6;J;g9Lf!tE`55bhyeGP3IsMZ)1oG9pZ)amDnxh5~s9zp@XN{ zI4L}cMc*=7Mi<68=TeV2uPwLkQYcr{@2sQQJmlbH6}5Sc&Tqgu*y|$u_@?{S>JUO~ z7(S8l?s%c>fQeYM@=2aK>)1+BMy^)jilcN(+Rd7)OavtnW4B_?qo87rT{*CJAB*9mldsM5B=pvntiM zrD?-d$dr=t0XtxM&8ug!u{Yxx{d=U;PN3LrEuvK~rC4i#M4y}a8{_s%6820t+qqOn zSFa8l^i9zV0|3X$(=<7}!%bf7z+>nV28 zE_4h(qHyV0l14U3e5F{K=6aM99spi3Uyi&4ZA`QQ7Y4&0?(Xie1P>{3!$4eseryLv zf>PjZH5RlcTZFCT8cUZ9mB)pO4l;vMph-P0+PLtV4 z4d{F>po|=(IYn_rxot@pC5pU3u^6>IsVv@xCx>ox<#IcZZ160G2VU1}N|V{_V(@?| zIZMx0W15l~gzPCy)@wf~X1&j+9ST-x&&>>Mmy%QRExe7-57mMv(9|Q>7m6lRa<9=* zg9iO3=~bryx&M!uEz5#izEeuRKEQL{e&MVCbllH98Q>nsZ=PqUYOA*jSbIf$B9OQ<7Y01;^k z7EC6KWh=*S03;p}&kh@}ksAk#53!_-lU}UBEw~Wb+h@4ju%-WYBW`gbO=2esQjRVe zl3LUQvDKlkaV!bbp7Zw13I0lXVF*yJE^ndr6^k#QLIYvDf%Ii zxe-zGdnrgE60t{(!6`s8kh#$u1lvtclZz&+2S`CQ39{gWcgpPwUY1WPrOdNS^|^qY zuapth!Gg86-PY)(rfC+gI}p``1jSl$NqH^Q1`YbQX>$O;UDUzZvMjg`EL9I2N9vc$ zC8czCcXzp5)^&Y&c<_Y+D1ub6AdbUlR}h~InCB%C_+|#8XHNZ@{N4bgIp#v!g+=!P zBNo~?%gJKKooBld2E0Mb@U#;jCFD8smf6GM;Hx4KFQ;#$o~(kBXg-aOVHVC&WUDG3 zDNOAa1rWOcAyck3e3C=o*h5J?dBi$`L+lLB!RM+3xX<=Gg<(wBva&))T~A??fS4SK z!dZ(M7E4xo_)OlgagwA^3O3RlV8=Kiq!>}At>~o%E*2~(GbRt+GVTO;rF|7S#9X*F zN_N~@UXziCUD_KD1Neb8nDDm4_D+D<$hR2Y53ohuD(F7P2N9`sF=0$Z3aw%-6!TaN z+DZUw-8L`oi`FVeba3W;s|s??IIIE;ck47p-|Axfa)uUSO~}I}lzOWOrG@)kBe0~1 z2wmr^yKZP02QvfAtu!;d!Rgyp!S{4KL$fn@PAQer^i9s1Ma|4eUuMx!>$06508YBK z*;ZV^5JCh#XwWxHFRTDKX2le*1AXAg!{JcsyuKd~>JK^R^ZATvZ{JVM%Gxy)CZSVG zW_r9&)P~mDr;4Eq>_JVxSanbGDC}EOXm}8<8h-jLJDapF1mWZJef0x=KJc4DK^W7c z;5^aAwljs@x`O<2JtnBMG}WCIJnPoV=XR*81qB*S8vE_!dgv3H2Uz6=1S1Vz+UZqf z$NoPeQcirTn@qUgGwopjlftmnPPEo+dcmqlTk_?&FItYR09z&Pf(icmB3|iQQ{g}6 z&dolxYXV{>x601FRXWiYF>f3(_IeJ$UzrUF9NCV5pj(67cVYp%<&6x;&u-ipG7%!| zidWv)21)&PrLn~-66e0aId<6qd%Q@CL|FNxcJei~AehtV_o>b}#JVfAb;{c2BrO>n z@{w_zew2x{nbgA5C~Aac0YW|!0p*EX zzrD+~&)wY}x{!lHUjaaP953TZm3AIiE~d3GMUe=ybAbBSF<*je^Qm!Bb5^xXoO-d| zfdH&SBl2LACWfKZ`*B=8eq9=yMn2FJ1;iw-$UN8m5-?hY&LA>U%ChWWbmjw7X{jq- zXhz<{kZ7JBBRbyi5fv!Uv5CtKn`bbCX5ckwWXZ%(G4l*K;<5?i#u+c`5u2i(;c4P> zV-V4Cuw!9HUP3VnHOeouB-2M?~HF zvM~DHN{xlqO=>6o(!-jsEK&F6&l97t6#G{Ss1)U8%_-?11qr|-b50)t(9+WO@t__t zx2HKH09-~T@wjuq>Z)K@YgsGU7E%;^yf4A^-^@xWxaD`M$3A*^C<~wBJ)KTI{aaISiy)f9% zrhwy9bV5xuJ%(v5@lb+qtLW=!lGy@5Bg<$<%x$#9rMf*ZPRITkzN!g*U@Xt2AfrXkkxRu{aa~@t3;3q#w*@YAE8Rb?!26{$I9DlwT9e;PkCE1C@M2zUUu{%rc#E6o}R^nX-c6iW88AKl+5dj zlTQikHInzwe9&B1&9=httYIR-*w<1@X34Dhi!C{GAAh|T8Z_v)N}B_KgRA@sdG>!vePsAttaW;G*WY3yN#u91ck}s$aAV_OBFo7ku1gvy0jh$%H!m4d! zRck$~1Kq)p9mnY~s$gH8QkMwCu~jrUGD2XZIV5lrl_T2&Xm%9Ms{nEkiwOPB>9g%& z0kWF}-mobGZ+td|pnT?plS1+FiA^0?MU+x^GL&G*dB9-7&WQ;cM{(USz3!Ol97hGpKOE$-A`Pt zoI6(*6wX$HG3CgBwH3P0*w3IHk-jpPv~aK#!|+cQT}&J#D47FT+iub6;I9&sMaQ4$ zhFaE~$Wc6kVs`R=M^;_V5q*nKf0oIJ=v*f{q_l^^vDXuaiEY)Wp-!|n>~gvIDIFy& zjWS~*9JT^EuN;^BxZH=+Qo@xEJcCmbT~-jfKr>1gWlLi8B0n2YDzEBiLs|ILBtSVT0WDQS{FswJaivSY93JC^6P}$b1D&c`wjZup3qOFLX3yxXy7=Bi9Kawt6q8M3YL_OqiW%j=pSn^4$<;6%QkFqbB4(y* zq69#66Dcit6&||bV=hwI?z8o5A%_u8qE(I$TY?pyIsMlg(I|n^gHzoA-MX;tir`=( zB@P@JkYu|O-YH!-wQk7QykvS&&S-mra`@|hUL3dERJg{wO&9Ga(KLiKJn$(sQd*en zpLiuxIOmZ@s`C!4cDPVHsOz?e$is_5wzk(Gy3GA|rIg5AGAHD3qsKIty3?1>yMr8j z?%yqfPs3F!V>v(9AP-2QOD80g(zCI^NFb$D%JbPu*!5OQF-vAm-}EUOujEp!(9Hm5 zmTq?i+z#__4%>x`W}M)uLShjQv}*a5cqzrl5>fv4x=uZ4&~K7nJ_eLcAY(YzR?!%w zx(%R|JWaDdQ+I84;wJKCcV&c~rciB2li#x`62n#%-->x7X3XRAK?>H>BXIjc8FA4} zG>6#Onp)?6J|7bVx$zu-w6z$Vl->?SmL8&@q?mw**bD82Knh%m7N&kdtSi}gfPaj* zQg!2j*B113T*_eKM{CM~qbbeg`UU2re#c)P-SPV<_SW8XPMzZ{ViVf>Ya5*<7B>BFilfRjZ|ymeq8`$*k~tNJ$}w(i~$CHlk~y> zzzKbf*CkT`!91G|J!>}kX+Qq5IFTn~D7C!Azlv9O!+Y9O8`Fj|;&> zZ*r~ixB`hA&8{JFq-Hchg<$~O1FK$PVzyZ$^BC!Ry}C$onv=u=hw+^6u7P2@$PLL_ z10aTqKe26Q+r|QsU`)~YMLxSx_~A9SYRAgT^H#_%|H6h*Z`v;le`0JG-;{7s!;S=E z>)qjBlnlQ?liOi0vJt<=F#9rm@#W4}=~+es|IJ+Fzb zc8NKHt5RJh;s4264#za}VgIlQs7EYZ^Aa@l75DBaH`{JntT9BM_?gKsv=AYBsmDWi zdjX`%)9tx+Of7X*1*$&kJ@DWuuj{kb=JnoOkAvgU7cxyWB!G`=dY<^7AY`5*32Q8F z?wd8G&;m;-A`pMes>TX=_PSN{U~NNs-bNxCk3{tRFf4kOx~YJnd}@6~5=}F6UOPJ4TAbmG0YNgi;F+b7>Y1BH zXN(rY=*$=n0CjR-Oe4MQ4EQ;!I1aT`^z4bV-UpMsIgE`NCfgF72`x#9KoFN75Jk@Z zM=&wf2r$(X{c+WUwT3OzF|V@j!L=p$c=w)r5p`#1PyrLF%oiNHaJsea*K@}4y9?uf^+kWA$N-0eNzZ5 z3Io;-39PL?NicreY6JVURhF2Y$icSJYBzv1`28ATuJ)T2T7poj*fF)cjACnv^@8`@ z8hye$wZ;NTF%peELQF%fO_3yY3wY>q&Poh#Lt!;`%o>iKjUyh zw1I5(fFPbU6y{lO{2UiUcF4Ci4*Faq6MQccpF%$9)9F>xgmVk`B4`QMW=0w_>T!PQ z%aM-XkOhKSyLZ+|&x*#JXz!^LmKtyf8oD%lQbrqNG^sq*^ZTJnkQZ2WbPIPN2q#q+ zOjg8fkTA95irep1U?U-*Ho{pJriIlHBj0_|gFH#Y=0}EYAZX9rI>11}2v!IzB1c#h zBlE^Eo!b%*b=XvRU_W*?)pZ*PO3IGLg9@@>d$<8`g+^A9yRgJ*ZUyKTB!1!|3!gE; ztt?`#ajV`kX{m(~@l!WD3$iK%Wu!R59=CJu5nILFmqrXJ6|qw<5^Spy@xGhRPIfW1 zEjG5O+gkQH5n}mAUDxgDu{z>=R47*^cVTH%P!75J{Kz%E_*+^BboAxi?zSqWT(4JG zun3F*n5Bl&mJR}q$3=_1TLcS!xZ{fqWhS1Z2m_K1-eXyS-(yjlrHvD!SmBBUkJLl3T(6gr=$ZB;M$8%kzNnxpHe=l$55{1FfkAGOPvL0|pKH*68JX07R`9T3D`bOdc zHAE>`P*|`E5*|O1EIaBTDbeG|3$`bqcv@QP&Z1^hRLJ<@lQ_}FIW`yu@Fw#~7!`0BcDUkw0^IyOI$J@^ zU?F!r8?A(35ypb~AJDH z;pHdy*{$$hZnvT^CnBX-k1?s8lp%QzBlQdA(5<7GIKO{=wMt=M8Gb9GyyRxNRW(sd z#00ICISXF|hzCv~Rw7gZYenv-92mNV>jJ%gOZgyu(d}SB)E8%(X<6Ia+LUf0vf|vq z8_(u|F%f2}<02ouVCXWn8n|Ua%czx21s_itsgnY4Q`p4V6|wzrppFGP-RthG1(Q zt#S#&ph4dVy}SYdT?VBi28Kfd*FvpCYvGjJ1AkKMS!k^pz|TZzQtULJbeVd9Ml22I z+g)8Xn$`j^UDp+37+2gA9oS!jZ<4d*_XDKVYz{7Tt$`EI;;?wR3XoCcnFk(;JV)8L z-pHCpg8@NByU1LX7Ai5fZn^;IbGdE|n#1*m_-{o6C!|6SBMx`EdY|TbE(H7XeCO{whtYo5EJPBxNZe zC(@O_{M-q{wYd{g0(4X8hTLK-Qa3<15dm=4t7!DHo#@?6yV{b~DKEMr80*zo1n%{b zD`+aPoycDl0pu1M>3XFUD1VVZ$FjC5O3{p}k5$c%tT<&>cSdu}EE7bL>fq&5u3xZv zydELLyc<(6PKXl|u6 zo#;8-E$iosNa>bN&d)xsX112}drx~)7kRg7vXrFeq=EJMCQgT5)+ z8~|J{7b9E_q{Yw;D!}S&O?t+`&(pfrGcC(9<6b~(=Y+(}$T)$+7|j{Ga~L2aY?4P2 zb&S-IJF{w}x;%Y&`*`5%_39HgE+tu#Hq!6T0M-qVEN_fX?OZ-AT-P436@dn4hkI-1 z(yF^;Gn(T1VpWS_9y0^^K$s93*PRDA91iF6SyZa;=ryu%TpR}RFoYOIu!&kL;l1Dh zNu&hdB(R+VOowdadv2c*WEeF|$wGp?_%nWbjd4Pq^3QJDjtQa`7?DUU?tL7K)8uxN zw$W$&^cvb1!s|uK0lJlIZADwC*_|x*t2;(1JxsQhto-Dv+2==UHubO|H+b%DNJj#6 zhXKM{+R&)1ns_pvw+DFQQ2QJ*RtL0YtX3&ILQ2ENOAg-^DMw7zzHl*-cvRii9;^(C zN;uJoi0zJ5GX&d#G+Dw{?GE|tH#a0Ow*r4_$eRdD-H`3p+*4TBH6_b=GP8M}rfGH) zGtZM*%6YY$>khY&;=7P*F?o!U%I(%Ls}~5EF9Ou6yoHB|>T@Y2l~UZYq?AfFd-nF} zj{s{$Jil~ufe-)kLEjp^+~Qr`B*JP|)d#Oynmu1(TS{5iXFbRch0sCQ>+{S6TNi6* zO`_fxbfr0PM1l>q11i+p~@f2C70rNhZ(gWRFIi9b%c_3Yi-b=Z&vV$#&vuH*u0Gu73#cMN`i|dpn*0tjPEcXMP&u5(5BZk()V33n&$`GZ7ZSzmL zUTIm{(@u>H8^aWK9uNyBCE{Tc*Lb(!A|J3(dRQv9nf>N1FXg>d6Z0kkxQ;k_3>hH8quS>HS5H=_=W*42$)H9 zZoNn3DJRj2azH*$%u5}KniYj03&rfx!xF$$2qraPUo4mgpFi>_9M^@$2Qf2mGR5Y9 zecr0Hu9(cBr?xB$DRWQ9#{+9A<#3qF4XUS7Ru}e7$PU$$`Tvg3i&@3!MeZlQwSi>Q zZ9Tz<3T)JFaSQGJwc9|*gFW97#*#(IRJ>~vqFJdyQLDHDup=) z#4YXIHrrk9sFJ1_IfjoBu^DZm71UDI)^mpkn2r`A(K@n`yZsmn#C*1bYCP z`1_})C(ei`w2ZKLN;m81Lj^$+XiMBGqE6@5+-6t;c+bKS*>V`r z{!cNtTOp&N;!=wMZI`&p5^aK)Fl;!*Qu0gwB=9KphAuno#WKb>uaC>`rGw*{yLqBf z0ba)80Un}$uwJj}R<3aM%HoKeV=&|>0r+RP*~BQEktAZ&i>+2PaH{lK))@H7R})6& znW7$!pv^-VO>(%pd#@KeJ^ju|JBVtckN!rcvGM6$hi!T(XoL2|vwLcUq$*My? z4_$rpuJdxsa7xqdJ};pBgbMWGL%OXb7*+|UX-cUW6-O+Z)MFw`I_R&Rw)Fp&xp}>1 z`EAoj?0Sjj3Wfn%47x+GwUKFL{cF{hK+(t9YgR@^%9pb%EjDGV21Q?pxKNS^PO2`n z!H5@9JvDaC1lxYDziV5>^^6?pTAd)5gO+)%T*LxBp4!PI9-(m}x!s%qi_0lXUBHBM z7~8OO^5AT6+hBQGwLLh;qYxJNc^Wp!NJr|6(~s?kSwfiDkfz>oPsEG@H9;O-%ZCT+ zbqz_RwAdvPdXD<2o0p?IMAB_Bl24@Y8fd`K4G&&ox^gZi4}{rh|L3#dH~*IY*_$)%Zb!zCn7`06^?L z2$le0COW#2^|iIS!wBFqXp>A6Aq>%j=*c_LIinpdkA+m2u|mU!loIYFmep#$(H&|u z=e(|~-xr7?6guNl)Dw6xx=c6Gs;&hqf&@_u0`=HWhGod3GESN8y`b=@Jvm1h7@0+8 zv+5ynoCV+lCm7L&m|;{jo3up8k{_h@W4pDMQXN?#Fd3U?fP#waro-}=2T38uito2b zdW48*YIiiU5Kv4Gu$8Q}UEYEQkiQ%NLsstZuP@+hqC}x}W!sG?%^*Ho*h4Rgck`9M zFE)mK4)HVUG=9(ZwUrCkk+l`g0k+aaiO}!3YukoS;Ibet`k<6lx?ZaIn3ssr=|l%| z7FJOyE&wsoZz-JViQMs(!^l#Am>ZD*6f%?>EYF6rOWVX)4tnADYH2mDXLS z<_|Xf;GUbb%q-DbL7nw?Ruj(nDFuq%YhiQbFExl7u|b2rZF=nrfY=P64NGp7hT#u6@smp&iAna-@cALXRdtVios&lbmK~1`@HQG z+$q+nyq7X^A}s2yykhj&mLjV>w~fgHnF*3CoS-)4y^D)ifCZj%M5C(l+~M)h#|&^_ z3-b}OydVk$C6YdlNg|}iLS~!7>kMLj5X;X>cID64R`O6M*K^D=dH$5TCm2Qn%;R9U zX__7$9^6v6$yk;J%zJk8Jo}ZM(=_?BpTm>rhG1?Cto)5^oQtQvzdfTB)Sp(plPo1; zi%`XT+tHhbFotDdH)_8y9gj3G{QnK11 z^r``Xtf-2G5JMu!5+ILdEeo~KO007k!p3@v07Z<1*e5Z`qQn7K;*7i76%-ItIHi=s z;Q)6-4**a4TwODZ@mY3#Io zBYckuomP|I{P_LIPTm4%W)<0+nXelpvtlWg+~{iDE^N1}zH-iMy)ocf4_j}{&vTA0 zQa`V+)H9>3HL`<#J;e3Gqk7RcJMYo=@sg+ipd3m&m%U~6eyj8mdjO!kSkD46XF9A+ zra+{gQfvEJ^itDoMYx?x%BTIkAYANTAuYlAgtZZ-=Q@vg>RTmxXW`jJwhwXr-~gWc(;s5N=X$;R}pZD5jJm(Lf4vnAdw*`iQfUoX-=4_g5wdbdTz_gg~Up=qymP)>F1-#>aHRd_Z(qE9T7rJaYjp9hdLW{n;~< zSw(lw?Z#OyH74@$(xJ9L^Y$?4G0q(X4axFkCZRk_DZV%?!4h2`IaQ~i%jI%B9#J$1 zYMy7GsPa{477M;Y6bRt6;8MS-)!|kZzSKfWX`0fyrfKqfFs+p5(s{$FA^l2#R7!Sd zo|OCqp^Q>k-Qzo@DJ?vDEM`>;)#~y#D}9Icyc4g+!)VUDICx-b7aGPylswT1 zo2Z>aI6zDqR}Gs7lwE8mOFpG!_FNELmdv9g7#^v8TqJ}M7kGe0bW>OALb=F<6Xed1 zp9nLNOG9jIEINrON%7CrL%RHvQ|_kr;&a-7aS}|F9lt@F!ON+491sVy(1p3M!cvq& zm%3pjM=6~|7wL((_$&A5mvaKcS4S8q}&ICyqZ`yG@X*XKc=o}Lbe0}i#5Ec`uo0;H<$utj*PUZ$Qq z7F}5i^Hr^j`^m#0mhsbYM%M zr(|jwN*0|{!iaf*&WaNctP1&OtTR!*SlGoIo=t(`j=CEYU96qOy2CIea!qmVlTw=J z+0lP$r=u|Ag2fXyX0DMjg$ALqCk&SnLf~NuxUL~jXCwwgJnFrD*+m^kh#BQ z+LkbpmyT37^s=XbDJ!H|$bN$dv;?jZ468T`X)`=@;Me}Edo19MSk%j8m zX#m2Qr0~kPTSX9QNTIl1V#pn7$b)pcogA(0{`gvGVg=RB`V-N4N&*Dv7R6|!9C+>{ z(e+_nDMct81(I5Y!2HX|M`SL>j^!Djhm;YNa`Co^5>9`x%c?oiMVY$LihE^1xY zEu6?Jtxm+$rlP-=a0BWtJs zjqC(of`87DUvexXd{D@#gEQre)(gRXGjllW&;IgwJj$x>`FzGt%y8%S(qC@GxW^He zOeXI|0u~y*)kEK43Alow3Q?$uZYzt@HZo>#6$RSn^C+Y*aj)a5$9zmQr3fzrLZjUy zh=`V!>O`7UA2W}@QrBq4%u*C-)Fa$_nRAvQOL8mOsDothBZyyen(_$&A}29TmVn4S zMwhP5fw@1%L|$2notN?nQWfE&EZvYVK6e?2oh!bNQ6dAcETi>CnEW8U9)$O?#$!dG zF96h*7HSJgrcv`0T7g8VF}cIj5Q$v>5!lF5aL43@S*t1(6FMl7sIO8l959;uuy$@J zwMGG*nyrb^tdQv5M2Zv~#8^=(j(M_t!wh;Hrs}8mm;{K<_n4JZj>qHS za4?$ia>D`j?wim&{nP1`QgY9D=y0}8iRM|*PAa#S((^?Gr4%n~DY=vhtz%i53*F4D zUJ;PYO3qVCJ`5<1`{ObQ=E6$7sQ}{&Jm;LfEO&QzJnTWUEbXP4USuP?{DtVlhYueW z{x5&|%SVOZ;$L>Sfn?7KXls6bYn|l&{vOYM=3xx)?QrY8bLi#8S?a7exP^07dLmKT zMwP{umwV#0u?!fK{ms+I-2>p2;hSH(6(bK&zN{sqF+=)M`e+cPJq!*#Ikf-_8bl06 zBGAdx>IlO>!3G>xyu6t<>>@Ac&=rd7R(I1BaBQuaMEbng$`;f)JfF|d;6BFKDq3zm zrd(EhDdyB(|84bXrqmB8q75u$D2D&QK4wT7S4jAP|W;Ha>SG!zE_$cP+D;*f2ZrPxR~usmDPgWOcQ z>NS=nzLbf*FqE;_Yqc!NSq_4R=K5WygWP1H2-H5GgGQhApbm3Nk#+EZYtf}Oa1^a7lXOV~fPpLN%yrYMI z+w^gJ0M>PNw?998ptLi-tg~F>W8xV)8Us@{R2*FZS?+B=66FZ}vae5JJUBImm4zcV# z+eH9hp4~5Wu_8JNR~bwQr-J~<0+M9*6788bGRZCkqbWUZFs0&qERsNg&IwE=FahjJ zw|O(vm}mnc2aqU*kYx;j_YzD(c9qUnNKtBBaXUrh@bQ`3VF?&TOU$aUA(bUB_l4YjiHKWPVdqmfDSJh|?}XoaA4Ml}-r-*YXL1hYie`bw7MKWd zqYFzeoTkf-mk5m1rp*5#UoMM(5{=3lfK3C`4o(O~7*}hU2xokch^0;zAV=7X*pD(D zw;*hoS*oYngA!4pDM{C0Zct=5Go?(S}?M}_iKx|6D?{lo?Ll@lV(5YUaYsINd*`G|yAc&yuX|A(<7wSRf_K z`ME)&@l*qm&*v+Q!tr>-W@za~@VouO!wp-YFc(AhUQbw@C2{$bfV|*zo z6oPkXIr7rl4!gy`z803Og`fTC`(O7X?wbdw7o)}?X~t^ZX|57}C(Rej5@WqsYN<7A zn;+hA;<52`t2ibrVOUuii5+iv%0Due!uH=d46wSpN!%A%t%*KFUea8lLRoaFp2KD| ztpl}>FqxcxxKl#`G8-a%F1v4sO*G2FVku7hNo3kY5n(U@<8nM6ahZVc1HN1?KGgBk zMd3*W4_>67>l*m^eD(({pH7vK7q@Dk*7wx>@S>bo$LOdCs1z3+c1~X|=VdwM?6XUj zlCK+BN^b7GrjmOr^HP`8V5YAgidv&(jDU6D6Y{W1DZ2j@?*3dFQ9Cs08ziA4EKfnwHO zeyr6TiDIDBdmYU~c^+9G_O5iqJXsRGWl5Na$mfS2hQSc*ia zQYMr2&P2jF31+7aojVYq+o=sAy&~RnsHA8@c1agG_{caZwk~ zudxi7Lw|Ow%JZ`71MvE1-V>AJ0!)VgtZ0{ph=BUS)-vc#(3d_J3HZG+jG00wbT_@qh$eZ789-NvWenc ztesqEZW-SsIzF=0SrA9n*1Gig#6P=|!&+bfGuJEJp>eD=me6;e$mMd$IbSZ9H*emY zPA8=AR>5`9>2!ii6-wmn`N#o=6SB(fmH@FCY`JrF(1iRUZMIunt*ASes*K$sXa30p zAsO74I(cI>U|@BOFcY0w#0xd37svti%YH-_PC79F zC%zT9%jZrhK9-~ktZfNKTF%2qd?1wqrGfC!LRP1Wgke7Z0s0{ks))j8rPt*x^0`%f zUY6us#GtS~6uUFg$&!e&Gc1W(1(PovAd&Bo<7wzmpQ!fd_4#J5=OYjt&`;BZ6Q$4R zvwKdS&*yobeX?m;mJc63_~rpQxxv%nO$E6gq=SOPiAbbciluf(8Cwmr+df_2?3?p? zy%yXCFin$Rr|EgsGfZ!3cuA*e%6YAg=lS?JvyyZ1N|@&<=hcTm>zZ-wUa5zi`bLPH zv){exsbT2#+eZICgHW4W1_B{Pb>O8@uS8OaC36ADRC4D}yguKhu4d!xIPs`*ImZ~_ z8=;R|0l@je{tTdoH<({vmc{J3KO6aTXL9Uz1HhX~QK^OIAu7W7oE!899;uPei z#Oel?TuM)ma|+zpB-5STKNm4q@j-%d0b}vI38F7_#U(Y406Wcqzit`1t%7X*?1qQ% zW32sFQG&IT-YwZlf~mbJ0y2cSkS2Er{+rsve0lzuyhuZ0<$4JW<4Al;WVxnxp&R^^cA^AvrGg*_Bn#M7{cUcC;zP&goP7-7koW!j z_lLvb?c295+xPF^TRoscrg%yz=kvML6PW@1Gr0r#9Ftsy<{ENY7G6BD+cmuy449cG zQp|2ujD?Pzvzhx}%{iB4S?2k++FVM>d7bCGQf!{n@p!04F#ECtol8+lvGe(IcXv0> z4h*tiDd7D3u}Fywgr8AiR+i;~W_YS-L$*NXJYe}1#?ti; z0ItK?OlzZ4-94Nu723jU)S9ifW2`b;i{SaeT_-t!Sba9GMwZy6IMIo6_&Nnwu0p5p zLFugZs2{eA9L0sREDNTcJUjQ2LXEo(;M0vz%cX+*LTey%dsh)#YrzdsVhmhBEcpl{ zI0aC*l}gp%=Z-##`cA%fxw2M$b2_NsZptYDO3~x;lcU7AF*?8O7M3{|ImhtQlD87% zl($4JjdMS#ZX=1@N(0+sAm;d*H%{H+NMqyLiB%wN0D)7_4UY@OWtqZyEQf(wfWpLp z9~mKVCJzCStId_p_q6tYF)kVlLFzsBh1-Dj%S=DuJ zSbb^wd_L!#kH;gMMK>{?m+wg{r93`9&hz~4-Mdsh;Bm~q!~K~q4wESl>|sMez#cXg z)CG#{>*G-lhozL~JB&*yz5&;ZTZ*MLr(~|-uh)dV4f8y$>v}jWm&^6(=?M*^ z7TH|7DY@t-cWSDWXnf{XcIm}+8h9MD-ZPw&mZqjJTZbTc*TU)Jirh*Y>x944mBy@QJ{qL|2asv973j$A~x^3V;oPu$*i z^fG^q55m7xjn!I?`AQ8&2DlAOty>7Eu*KUB&#?wY0xwFVE3v2^rJ7=6mcWVhHa9}= zj9j@~M$Gj{;^?Z02znS%5?x+f=)eX9$mGt>#o;L@X$E3_jFtkr@@KX&x?pK!Iyy7a zbUqstXhoDgSJ(MeS2(dPmAf`1fD|s5%hS`-ci(;ISO2mc9v>gyym|BC!v~Z-rS!)? z{_%RfzJ2>P(Z+_9lAj&qDIbr=d7d91AGsa{{X-glekhI}a+iHGAD%tW#ds_5>%F|j z%*y4m)~cTTGGL#Hx7)(?tuxN^?9y-t-FcqZ^;(BX)8%qbb<||HJLavFayT6B?(Te+ zEhSqPKj&x7x%i?1H=9(UOR2XY+ZQH2BcJK%=?Tw#mOuL@@fs0U+U2kGS?OH4;^qS14^}(nxC|S?2#WNxjIt7)|*)$mvxp0H|GWoxbwu=M1dt`tWdnK3|~G zaQRefCo@VZSOhd$9}t(1sdeV|sS6~+bL6gZ__Qyn{u0&@fLV>Eju0394J~r2XZ+(} zN~1Q)>#APx%jM!1G5Wq-DV2jl)tVEY&x3qSbNon(20i-G=q*Qn6k;IkvThy)77;C5Mw~Dh>Wm}(Q zWX>}J{1g2PJtEV3rcql$*E4EGj7Y$YEDv%>tNPh$L&6Fwx?7=z+|;g40H*UWo`oQy z;9e~H0j435hJ@Zob-fhxQ;;NA3V7o;iOxxbPVN?x&9-gZw!PW5 zZQE^aw%gqIe1G~8&gq=@#@sV=&3OGoA{6~jnq-A;Ggx`Cw`Y)hoUJC1WR{sZ$-fO> z_KgcpO@5AEr}ms3sJ1y;zxHyRmC;M^ZAml*GOU3WbN1Nh>v;0$-qoqgG|Aejtt55d zg&*feQ>=K$_or{<TH5g90y*eSFU+yEtvJN~*;a|!P(sKv?wGB)EDvRLuPHWv&hGE1)u`>Jfm`f6fsFo=qH#@#gF z&(pe)NG#^@AXdkbj=xYzJfX#@M1-*cYlb-pJK@_4b}`7zbZGK=FuGa1!6B-Ymt-BF5!}< zRPxStspd~Yz{7W@4t!1VGD**fgAGX1?0d+Q%9v{!2n?%n&#?{-llo@yb*#nzQGIP2 zil}d}iv9kmWvTl%IjX> zp66+g)6cBb7sJfyaxfrrE;`CesrlIal&)h=z7DE#MnJ>jrY4lW8qbC%^{9X93U{g$ zG1vQLg05t)<7w%0UU<^Nj?CqvH_`W@-4mUC0-@Ns9=LwI;rDu43ivT|1%S?+AAZ2c zcIfEw^$9#<_~mE$fBe|_^Jh?-vLTTB?Ky8Vn>7i406olG6~#|Bbxd`+#kIE za!Chw{)$M*l8@xR<7{;4mfd?{?rT}7BEix5>9KiWOga1(tMR8U_H5v4v zE3ck_{P@ap9KO!nQN8k^SK<1SVcVnO*DD3AO+;sDcM(KOPf6MXTas}w6h6+Hq!K;B zEQsSgc~MA^KYd?I4L&)lm6z%_VdXfM5W7fSY>+-H`vRYAMpl1!GDzsAND|Ol>KkX? zrV6t?GDifGT_d*nfy!oa$SLCv;~%Y`3HS=}Cz^I8`hK~>j4U@&2dP}kDp3(g`K^{~ z+Jz~K_$P(muaFKd+B@Wzy`Z6gsE5p}!)BNh=od@ZR@tKUv7_Po*rrMRg=le(7G3m0 zXIQN(({N_4*}|SHj_DvGA1BKec2XD{6uW$q+uF_q~TMJ|`{0^N%mj_BTUB@$(&q5O(Du4Bt95 zx@Pc~-U{W-T?0U6kY~XG3H0`U@u|@Yqz#WDh27Z<7 z{q^ZnQTgu^XxZ$gUBjrAUzS%=nnd3oK*HwYuf@gaEoUumsyT0%I`;&(zxU>ycFLu) zW_n@~ky4$gp3uI0+Y`eW)hnd|qP0witzAkBvsXQGfkp%;-O|$$85)mFMWAV`cg3xI z<%W_j-B%!Upf$CahtMBXs>#l{QR1T^+4Bt7M@sk=yj30^CA%~6@f*{zd9^O2*o(7M z1Z_g2X-eX$Oqx1AQnn|hMV>Ez^UHbZG-#hp8tNgs0gN%S_^3)lKa=U^wHubf}=^20$4K?_J2r&vKM&DT}aFyApPyRJ|qHNVI#tMcs zzFIcOmiKdx$p4dq{O@aiSuWWu%^f=keKD7?Ix$g8%9Ai`x(9o^qC^FXh1)9D1f)Gm zNFVan&jX5F1D*IbnFc9=234E-zCv;FpP(u_-9+eVijz)U%xr_6eB!4g48X{|8%te! zftsQkm==OPM~eLy-zIjAgu#OFU^ozYaN`SFti!^#MVoGrkOdJQ;l=^td&j0`Wr^7G zPXnQ}_&D<6H!|u%kbxj!7GoVprD(?ATk0A(WBF41D`dyd;E>e33jV|rr2ac%P*P!f zSV}u$MAgKxjq1Kr=Q|qjf8#V1S^U?WBcO}LxgAflU+=R(3MA3z9+9^Yaq$CihgCn? zGBFXDPVoP0wfke(s#3mq{41-hGxEqR9IL8>(DhzTLX?iFt|-~N=WB0o8c1A!zPb4o zk^u}Km%Hh#T1Wwsi032tC(u=GiU%|aB}cO?oIWHkIDdcED4JUP@G^6PeD2yV_$wnsj)!VjeU1Ga0wO{jbf=$L;uqsX3MZJNC za@-{_@7Az92;xstWDQI%OTLLI(0l8mnq!7t4eW*MYXAv)xPAfcFXkNRuiF_z{Ff`5 zZe$X;H+>Ysk}*|GNV7r_#&MY^l!XqO6>M}Z^#wM@j{%?kXp{Kq#H;NdKSW7Uy#tz` zNXjOYX3Loy)(La4_}Bi?FLD^m71$(vV`?1pYO&Yi51AbEE6f&y7W+_#>9l{n^GA~; zGoVbEj}1&Eb*{u7TA>czio2RprJObhNS+LgFODNPEiG`=P_tc}P-`5$h+jedTmmKh9 z`oG0bz7$=YUi_J`dG`$Kd(W%Mp@{}k*f3q>teySvIco3QRVP5`w0YM}_sPT7B90?6 z%9*wNUn)P(g?*3>6m#y`7eSdU!!JqE{4i$CQk+Qh{02-Qr73m&vfJspH9@g>*Go_r zxx3;eQ=u%$x1#TO&E^fnMzt7W$^<{+q&*-oaP-5np&^ip9E=v)yr2`07$~2`T_a$d?n~y&iBDW68_Zl+6_A<|*&V_ogekB+@|4EnTV0+X0w`yGMO`?V4&HD#imM;O_W1!qo}QkL+MO$G zjM6#I8hO{E*6DvVCqpUrHH~O)`5@xv(ejm5Mv^pM1|0*!Jq%6T!qC|NwFlb9x%OZKn5ouk{T#sU{kJwK=0v+%bJ?9+ks< zUbg|~U6ap4etqS7>(NWT6L{t-Z;9Djf&20ER zX3k@<RkE^yH{W4Sc&6Zr{NA9N#Asdv}Pjhh}gy#RT0z8dMyIdUi#atQ*n_P(29f zoK?A;w@;Uwz3+!ib?~G6w|_n_|LpYoUBf@x$`BC}>O(ut^nQI@OVa>P+(mW|QUK(7 zCroN1zXrR-Ur#)KG|yE0F;$WpUyp;}zhm*&?$FM$2SUr0nx%d$ABI7{D&T~87XZ3# zhi<9GlZW{A1r34rQ*p9~?#!_?&2ZYBe5sSvsizLjM+P!@P6@16PPOLXBNpGM!2J8S z4On{ORvD{Dgg6TdAtYiPmf^Mq_?C{B75RvUTJBD$a6eoZbYC(n_yi)kNE1ULGuK1n zXoqy{e_Zl;&P2Kug&yDQcOk&ZAl0mzp0WE}ewD|1s>8K)cHYOls4U|?K^=H*!`iEt z(`B{uK<*h-LzmSj)ae&6C*+;!LdsQa%CsN$!*!5k90O#(ZOMJg?Scx1K35GZ$j)$6 zl9de%b2F8^SLRr2C1h1cN5dg7Rj^Xj>!5P?dmyOV`HPWi(m||ReU6@bK=~tw*rO*1 zYK5Tmr-4r@I=yoo9`-(0m6Bjxe>-7Y!kHX6vxN}qeQEil%5HplB4jhQW=W+}47-{d zw4~KH3o;=P$~`A4Qi-1`gdaYqI*!|wWULIGNvdKIM^bpwnaGOo(ru?AQ+)r80s%^?1~DpUo@?;EvQuP*1vqF126 zPk?qmsTTUML4*Gz@{a}$BrQm24&API+7mQWMWhyi=I2@PS3R!g;%`K2zzGOM`V!Tf zBfk`f$0%4jR5ZiYZ6*|U9F-($W=)2cSc$r_M&|XAxbd7$COXo$CA6Tr1ebr*$bM6q zJGA-pOMH1$kKv?=A>+Np;#4))CN5D!5oS=UP>N>f(3^087IXGdl+DeC{?H?<|Ikq* z)htLt{e4~H3y4*Sfc{mkZZkAcw%m>>bTj{Y)8x%)p=T+s>7Ds@0PlsU6+sI%Ot zkAFl3_TpjuojmysT(oIHtczK?j(>|tu~;!p8)bgXVsscrMj%ARov*P+&V`l&5+=}D zG`%WF9Sqad)#N8s;1u9z$Q9j{2}7dT?UJG!kwwkojcLW*x>0xE@@AmeMj#c8gvpI zPro-a7?JI1kPJl|{(Zad%y1pNQL8uG3Nd1+^Gx`+O}jgyr`bfZjmRxrOb!N`AW7|A zIFWf4aci?L0Ujz=RLhCBIEdHBb`?1|NWBV-M-M$bc zf#)S3^~axU36=j>4_6}qfpTZf{_r1$|B(PImV+uz-V)$kPFNcp3<|nFe~gqK@_oM@ zOV#U7K7mmJU&ooSK^@?P z=_dYXaYys+`2AVx8Bqr)qCUQd^e`xxlRm~P)G6Xqb&$|zdmHt8mpGrtoLTquRO9lrNCd+B=VZT`jW@@2s`5JtcNcNf61#hhjv1xDgtcSt^30~pZsEp zF*nw~Bv6?!#-|JB_gxxlHRJCL5-la0ktlM3t;Fk(bX~jj^(Y(Q}-8e zlVRd>6{Gfs-?tY`6e1vomd38+uSLHvEP*%(D`>%stQ9!mahav)?-nT{7BJMN7yYUJu(jNNFcPA7&NGh|gT=-%HFw|pLo|dTx-=$7ci5xfY}J>) zG{|<9ceX-I!=z807T(#bf;?ExGa?B4%(fw)&jJJ-9ug@DMY|S|^3Hqno>mRW51^S&bfx263*Q_Hq=F8YOB^|z(uXV3R3Taz% z>0bt`ZvVn}6Q?dJP7`X*Y!hfQ(mZoYUtT^VbWKXgJ4;PvLFEJi;>!a+1beWiJ4X9pi2zv^5O&efL? z0J&B%`};;HOC2@E?>}PGc*cAfBF7S)sBFLkE7I2#I7EpiLeyn5x;M$KoV{qLUkaFb?I+= zK2?(bM4jQv0LHMywQ2ao26!AGJQyPlWjYJDNaXF1x=8{WVr~|n%`SLb=on?E3S(T` zt8caOeigSe9yc359>ktgOI-hUwWhL=Y1c&^H;y^t!zogT6L*~4p{qW+oi>!QunxU{^yg1Ag;gZoJHnM3NLYRYwSxQTq#jnky<^?kd#iYZ<&YpVyR7@n3V~l z+}K*QCC;TXCRgY{$Yvv&sW+b$ZJBQNL5tNC)KQ?GC1AO}A!Yf||9zN|-sU{rf!LKH zmvW{n90L zG!@DL#_MT5zJ*|wSX@>Xwy>!TqbY-nBvAcjOHQyYjw)>F@sH+gbk4ODD;*?L(vc%C zjC{LCGsfF&U}Xq$(G()!2-lHk-m4Uk^a)1s^YOLyO6;Z)fq^nigBw#h=#Oa?LPkY% zj>KKIu=XglIxeTWUw#WkN45U!T!`D+-HBYB&ozeCPa(*=J zL!{uiqIHFfxjNc`FYG^oLF5QGU(%eLi*>=#)DA~P zodfk|m-BYH81MDh>-;5KJTaDq?`RBB7t^l1R_H6P8Y$y9N@*SL!qG2L>bgzCE_k!D zT-NQZII@hw#drgeL`adi=FSt}972TzJxO2Q-@B6gbXuBXwU{trP5O)BS3rzYwjKdO zab(6Hr>jmM0G~#?a?K?qY_whN?Ls*c5)!4QrCeNG(Ku4ts5%#EvNGF0N!&uxW~QfQ zs|E1)#mBxBr9?s3fZu8cvw#N+)^~clxUkk)t*oT`{rBuF5<0xo=-(uHB7|?n#o|1d z@B}@Jz^K2Gvq|L9HD#8=MnOzYs%ER4!&H@(V@Trz08puXEXwrxWk{5)gY!^!(l=T4 z#mgp7UYn`U(&Pm;!2~TJVVzXC_FWn1$ztG|9-R0=T72Ey!V&^if&!*a#N&b_D$dCq zCeavDO?zl%a}G1e1C_Ht_Z{#k^@fevamN2uZv7AkqY!~u9pRB!{(~~G+_!8M#XrH; zpz>gJMQCqZc80$xCY>@3EfyPDV7@9Zu4Pg7efG}l^yPbs4WHd*ChcOqPQ0>0GX|$2 ztoaZpqd0f)vSX=Of@E;nRU&t-tvF4Z0hUa3!n%f2RXckz;K63(<(w(-z~pYvf3KMo zY~}WhEq}EUH1Exhqz|40-3kvSU9S1N!X6_`L?o6|Xc8$yz8Yh7JWN|r zmm)mSv6?hCwj#H{cO-UDJ~&ZoZO`TYAAY=?KU;YJaRJ%9{{WGXVK5=jhYu7jY79x}JPkFN%WvQ{hg@aTxAU`Z3W z3gM9;W@;&W7gjI;CM5<2UvK4sT+O4l=w0ZrN0Tri8k}yQyd6f-AUlv6h(Z&_+=8FSh-B>gES4!YQXM zhcV(@lFo7IPUAjh=#eJM-hB)b(WSfn_V5_-h6#ecxm=A%#Yo2}HuUc-(&8|0;LHev zr8&jK5hKoPJ_NSgG1WFnMb=ozCY^%9qsT}|#5-f@73y%@;T!Q4xH=ZoJEyo2q6G+n zk0^HHBO4DV>x30+m8?`MOEfo7DW-L#I;j=*}18pmIJ? z{Ba9OZBE&27NSBusz1VO%#fYq^_*+@CZLm%Htekyh+9*olqt&rVyfGkJAFZOe{Kpx zGxqU~K zHP%NRuQSdXMq+%ml$u(tmdh~@$?7EF#cWz8z(!jzicswcsddYCeL*E@2CcrE<-E@Exla6jY;X z8~L?XN;5tdXIK;GvF{bU8Jxm0=v$XnCqC7zN=iRID?jINa~hk3lAG0Pw)&?s>l8ez zWEWaOXA$vxyd%W)6P6R$$rY9c1vYakQW7=W^3A5$SlD(1wxsT)f%nJg^QzV5-hVWzBo zd}qa~m1*@hF2aT_lgtvWUG!yB&Trwybxkg_ET=mZ@1u8}nT+#`7D9e!S@qjb5WmFJ zv>nj8rZIy;b0}Z$3I@i{y}iB5OC3>s{0rC4oE=_u<9Qj^Ss#%G{f|fvkXCr}9aWAr zT#~-UI%MnQf!dYVr%SD^+E~dD`KF=xu5W0|Y}BFB@PAb|Bf}^CQ81Dkf@5l)Z>W`q@2)8E{87hg+n7jugV0J5IISwP zeY}RDfe|m~uHH4FsHElz9F;WU737=1A(h++7mA_ddl11+Jh5 zRZ#)Q&A@Ty70MZfQr$xLquJC4`}UQQmi39%F?#siodz~05fCsyOn(3_ElZRMqnl^Sw0WBO{9$gqY>crc1dI#`8%WagPaCEJM~m#|3-iL*rH|IHiV!ZL?rPd7$zdL_uXo>}f=nJs86){$8I_8Un z1~lJ+@0qV-d>rM`*Rzuq4<+iDTVY2|>G|Vztpi=czjIAS+n9 zIMFYF+)|lluM1)SL)f5=K%cd)k(wg9qUx(?h-4$L_3%vAx4npRG-_ZyVnGOI2A#(L zA1cgAwWkLdfLSuKf}>%eSYtiT(ZCd(*?m3P8A#3}?iGiK4uV5SiT1g{JZ9(RiM)3G z?~QnGR^2J`u(!XtZ2hxfb@KX(I|;k>)2Jn@c=)(K6dV)W{^QuSNi&U@+Ks^%cLqvy zXrFBR0Xg+BOz^XFyMKdJi3lHGtP1t;?yf;$9+_isA&zZ=;d9hLbk55B>w)NN-|wPF z&DM@>W+#aDC*eJfr0|*P??|-G_7VnD-<|4eE$<-;N^e$UTU@*Am30$0FG}>q6^@yn zt&jwF#hZ@kRoc^@)1zzG7s=Ci*djd-0DnYNw}43nh`b|nfwn%wc53>CU&)h+R=a3K zZWU?aH2PVDHC32zPJCkPo!s6!X!!C)Xi;?FEC4!B#b7ZZg61lQcv>?7xu8C&Bi!;# z6gKyYt8IVPJh=nnqQZfUx`po(Z4Kcel%6ZOv877;a41Ny`&j(&ex(f!w#d9mbi)h^ z4UEN53ick!o!jPjPfzax&Q+Bi9!beragnWfb0+1_%4dz%Pc`x2NFKth8J<+bojdGF zBV5=ZpEaI{m5m0^Z){bT>#yy@>AVt#2^lY%DjL4u)-yNR4&{~)3eW=uKe$n)T{^X@ zS&7p~C3j0VqVLBv`L}s6jLNVZdVk2&D0OV_ks=MA5A~079Rpiyw@9MghuZ_MGH8w2jy7v1qDlS9b`u$Z zgJ+6LC`o!hbU&HK)c+)c|Glz`R(i898fNR)+vBR{F#e6h~6idBfDt_i*vA=4$vfI@uMUUYSs zPw43As7p0=fXR!4D6rSQ9`(K+qnLWuK1la?sc6`metI)G2^hg7HB9N>GkV^4Xk}?4 z=UqsfqBgtrcFuTSDj&IQl(E7YIoBV`@th(c>-2P(Nyvb>;3UI#9vhzqX@OMzo&UL9 zx6-lsq3;qK{yJD+LG&=$%zXg(5aVAK5}PJeLVhbRtM>o4xDTbLMsq{Ev!ha2HiwKb zE!AsHKxwRX#`ri6>HI`P;Gu;w_Rbo1`$qKgYwJJrt~lw-GPegAeY0G zICMRd1?g{g{AlX%&2__LVBPyh{}eSx9P2dW7c0#|wMIXgg^7YFc9p_Wy$K0y?O4ow z<##3v{>bHjro&Qkr+H;A7)}?H126j%o&KgpCpZE;N#hZF7I5eH+@wT#M zye(B;G^pB^f6r>lqv~N*PZLu~C^j#{(Bm3Z#`d(>o1xxbZSxwLx3TD8fjl=Qy%CLj z%)!lQr!YuND=BK|vD@WE$1kKltf~JdozzjHKsNM;$IGm-5yfYj`-1CoXf3ZDyb%A1kqi9|^ zKew_*icc&Y*At8tfiw=C`>gME_@CW?43VOlR0M2SwKa?YuIDB-XD97>znfeO&3!Xb z%#|v%D3ftarn=vY&oC*j5;pqG98LfFA!Ce`?0b^|<8LOT3tRmVGH*Xq`yqS*5C&6S+Dw2%~Mgxh8gt`7(T;72bw}W>MGEbcL%0C0?r@DaX5P(Jj_ukhu z*B_viNu*k$%lo3$-rE7g$L8s+nR}wZS5QpVe_6}|56t*(OW)7^S>X*@KP~M#)x^!k z#l_iK-HPFG)a3s0@zK`pH+u^e-E(EhxOHT81rLo$vb=SA@+x;?zkVbG5wj|DIr(6T zA;nWmNM$ zI+*1?W>9zQHQMa`h2GlZ<2{-}hxsGw3DXyy>^H}x5LzZG;>lf1#ce%V#iw2rc<>*_ zd^tl(8y(bcdSS$BmFtd9IxI;vdikWx@`fUn9FyjR39!NsB=Evgp64`BZV5r44?T^L z;O7Sm{Fw%%n!A}f+UNBxN~K$-RnxzLvhbgUZ7z{s(aa3Bo1NWF5^!il?y6FLXWp>+ zsT-~gH-xUX!^nMF96#y@gk>)1iCAG)P0sM6ozEc&XsqbUEIZ>a;HZ_`dIPNawv@Iu+tG|g8D;lVV+gZ zezRzes)tVKo=?C_@&a@#NIKPq=c?=C#DXEK;P-w*Ap$i-&SD%*sYbkcW$mF5)08$r zG4>YH(Bfi`h8hNEWDx&{g7>iwNRrXn1#P4ACv01GFFy;{TCuH2;VRoIjc%$aYgH6B z_Of%Ka9WlMX|{T+X5|SLC~CR37LvZEMYZ`~G+E7V!OWR>$ZQuI-PRX0bo9jljKf-= z7NkI7?l{fIh0HK`iJjV#sA3LAt<;Vf`t8y-9j%-giS9Tu|APi$ zg|t3jN&r28Jmn};mgfk`a*;)Ly8^`$}et&CJa7yl;m)YHIa*L#xk*qpG^;d8vsP;b-62S z`aS~9>8q>ka`_v8%N$S=2l9!e{MhX%a3k7KJ2>U3APEb-y}Y6(g9^v{HP7?D-fe7F zc{d8qvE-agO(d!GbDg&>zGtR;Ya}f*wP>?9X7V4ug?pLJFJ78r!Dh^Ai71;!2Q6PR zHr-)bWxi95WXC@qUupGk9cr6>zUUerqDvD^g9#$e8V5G(XwFm{C>q<8IA7#dm{Bp{ ze3vxENL*hoQ58NYLk;h<=eT=*c6V_JfkDv!4bv)v8mL?6+nmb4U{0e3=3eVotbnO{ z`%}Sj)g*4BMTJ!7Y#`|7Vq;G;h!)q+%x0-N?OTnyn?iIPh%}#?tggQ}&5dvg`>Gu9 zDD)1+UsmY5YSG2kK9tfol;Kb#Z-l_p&zugg3n%-Y72aeT4r(@zAl+Z5$Qe!xrJlua zOlezvf`?bt?(D%DbC-tZU5!n6e2u-)X-BD#t;%s&%Y&Kvd^he|&6ND$J>$OON>z5^ z%ABTHabhShO~br0M@ph+*f|?YQ-V(u{2h4%L#^22t11A86bx0rEnATOC$1qtZJ_!j zj=HC&f)L7_wulTjg?EM!mMEse&kXvQHs9G-l~3P4(dDFc_!473B#x?$;Fcg1xW(r_ zf+2Txck}b|YOP}23SwwBV{Y&42;Ylmf0}6c-e>(G9*n|bA}&hB#63AWg4z)Rp1o}# z&%3+3M@OMl&S^)#l&ye277;Q8pZQ7hZy80W87IY=4KtHJ6(yPD`1lz3{qJJT1;=`H z)9c&WZw{YFd{R_8w%O8$z}=cvL#JY7g~7Upusjj#xcEfrnOLmVC>OBN_4ZH+H&-LL zw1WeE&dEheQn__wabc@C_&!aQ@goybP>%gf_BGb2 z_IB+ec-M2IkpL6>dsnXe9~aN1x91BBKk_=viD2Kb)9;=7-^;TawMhKVie|v`GbUGL zY5apin>(D*Ygb!#R(;j2RfK%?fU&*-D@e z@TAT5n4)7n&~zh^2%I?n*#f?NYE|9jjRotE&Y*t+2wdLQ-!}VTv(*6XXwEhel46b| z_{rK6)m!ud5k47udv{*|T(tgZQV7af4=w5krrjO^{ibb|qhwg_QfL9@9Y zeMaAUg-R2b$=87gfqU-#c+z^^D%b^ZN1V}wj@&amRZa`fP{!if#Y~bXxn5PGPh$NF zt2$xySraMQr!_JTh)p1$@lYy<6KXyYxbLz_wT|fyLyZrYs>L?@OqKaK_F@GB9+`}9 z#p$lk^@jWX(X<|H@<-AL6cn8(?d92>;zWOc+&}SvMWD2}KUhX}hy8-+O4HB1O~Tml z(VVH+{?I?|3}&drK_6cDN+ znqs5cxOn}Ty@8g5ed`Fds)03PNa@DS!dAdjkh_otDw|!jlG)YnWcl62YGWz1LGX;# z6R*uS>cVBr#Azc3)w;diqch0%Rk8nd;WEv4;vzR*>pbwnyQ=CEqe17r$3DaTN^4@%s$%f^Y|v2Ou&?Yn%hoF{?yP%Ns~2 zSqj{~eCRD~dGoZUF1We3X-LWBuYeT*hPKY@%0vRak{1@G-vu5gz*0v{#(`NQM>CVI_XV|nvIM&lw#t`_BxYT8jINKXczOAMI$FC$3HY020h?va$ zVSCncDYH3zglX}*PJ&ex^BPX9J?RvYmANi>sG@#TC2@FKJ_-wNF;$5U(nCe>*3JH0 zoy}X?P{W{s$bWO6r&EKlGg{h~i*N0NX7zKe(Ye>zT16>$5JK z%dCagCOi80AoB8j=W_#d(M$d~R28>i4R0M?YOzCjarE-i(uy~EzCW=DGY|Zo9C+>s zoD}^=sQxg&8PS3aY}_6S=7CE1^y1W`eC5ozLjX<=t&fjK-05bi0<<`)K$UkJ`CH!C zy`N(^zz%v7d|6Q)X1r21UX34Q-ZV{7r4*huP2WpXWXj%X$I-5^92sSh#Jx&K7!_K3 zM3Z34&rybpmmtJRQrlF%IVm&myY9%ID_}{tzv0ZtGx;dO`-j7E`~~#Cu*E)?VMwsE z=UeK3^MZ-|P13v4o2kV(S)(BqDg{W>G~ZAG=ERgY|8tsPd1FdgWy=c_mU-07L`%GX zUQT!s7x5<}6BA8QenaKT%wJlv@)A4dw!^owQO=ch>NnxKQ!4#fL2cyZ178$W^4 zbaoSZHuy1EmFDB#f5Jyccti^$2}heqAsWJShXO0Olu^UVraW<{Z}hC{rV(12cYN$X zjz2Q0BxuhZn>lcTjOcWvXd(%->d5iX2per2?)IezvsB9-leAqD#p9lu9D7zH^vR1_ zoNNl3D7Z?iX^CMXV9@Yk;7J)Bl+Tmjs^6P5kpTG-CvC|cYo%;Crdkh}}$9frk4 z!4<{N?{|lj#U9GK+S>R81b}_0CfU)&1yaSgbu(WsJBrL2IDLPkFg##`4fqEZZ?DVj z){p)FFKl&?g5iAw+3&pW*&jlN{f4^Pe8`mX%_zy5r?-PUMkz+qqn306`e&G_Ca2s^ z^&EDB4+r57T9XSFs4WgQIRP+GJ;V$I*-wc@T9Ykf0b+^V`Zy17L{eztF`iQ3{wU$xc64! z)5o8&u_1Izn{#-6%}-9_Z1ePS@+hOwFD#WusCTrtlh|5FAl%CQF6gsW3|%iJozSo# z)KI>jQdR{>^4s!`DAIVT==_Za*}HUv$*9Vo^vk&}+RhKKSqf1<=<;blGo*LpvVXs> z@_f^z@gtzYjAZe$%X9XwHYGTLbVp3NT0dyk@F3ZX=xu&g#Vm$g5c&)I6iJpMy3 z)Rezvo+cgl%SKT$|I*MjHU>C29^m~M2qf5T2q(A_H}VT{u7%2x{|T5EG{K2%w@$Qs zR8Zb;JXq*{7pwHPcw$g*_Q;O%c%WxB261aTHId#e#M$=P4sbxZ!d?93=I!0p0`i?_ z+L@tWcd6v#*Y|qj`zoz}MQg7w_A_)^!6DI;6&o!C6P#j=sE#W7>K&b(LD9iRbZ0<3 z;E1fCx+lv7%55l{r8;hmdXZziNmhXw>z-{-4OfS;1#@u_p2=N8ir6-m+h}SJjTS3^S&5BF#9(x9xr2fq#_K4X^($f}zSF`5-O=Hn*e?Bz zwys|J9O|nb+XrPfp!YF>_P)%ko}!o)$@~Gge?gCo2&0~?cwcxFv9w>)=_i95!(%%E{sFnPQpe4b`#FI zc?@3%O0D{7rPZ4-%J(f7B#jS@#|R{*S)Op!NRe`ikn$RaS30fx*+MI_He6_{tnm-W z)P7imgW`<2s09R5+1&r!?kKS`yg%3%Bzi&CsH$D60kbs1KKkO}%x&D<9C0E2U}{+ta^DS3glW`^PE0i^ESt}$ z)0xjul|>he=QwN%o7g6ruFfmUIoSlNq&O|qU`6`>onXmGFXYQEhL4qLsmtfKRX0LaBas?m?me^t6yi$cTrB2hObsKBW3$nybjl2L2o< z$<&B_$~%xDv*Pl<6RR0yKKidTuhx_cm@r*X0V73^p?52U#$KA7+z z=3mZT<(E||HY73q4}}qzVWVMp&xLMqrZC%bu9uPiVtmI^jnWFHC%1YOChQOiu8xkv zK54JcV>85E+@}in&(Gn~2F`L8$^~0X?Nb|AF6X8)|+@< zu-@=UJgensM;62jxMiDJ(vcM+dG9(x8j>1UI|2qnr>5k`=BfLYx&x}g2c@GfjeLau zqENf355wkKpG#CEb%T8>OVwouTgpx0SD|()lh@^&oRgYtG1w9RdPlLK?+l-mARozr zlp!ZslGP#MNtAiFxR+K~`Y=wRdlFA18!Xvp^ibWLX1@C+glBALnYv+1A)xNwiVN8mGqszTp zrHb?6%JEqAEw$g>X`?!bd4Zu=)Y8C6XyGZO7;!x@ZJQhZK(eH6 z-PKab`n@|{v&~Qfv014v2=)n!yb@Q6W3YjaCOPy|Ws^<7=BAdYcVRugIPngG9SrEA z+2UExtT>G2`dYSOowkYsFTLIHi^w53>>p1J?pP$+^p7ip5rlzCG&>fS_%^UQ{-@4w%EejO^ zEr7yudy>V19I2B@;%|}&+x0Fj)w~KEEw1D&?YzscC*xw^ zDo(gJ+?!>-RzIZ`T90N(j$rOYQ2F@zP2!kO?X@l&=m9znuxA3gdRs8d2AtFSPI$rh z{7F*2K+9_2o9Scjl2&E0a@&l^gcL(;Y$rVSHY5;p)YS}@p%OOsb7~l(5gKmJfZZx( z)?WZ{_ij!AbzoP2H?HQ2si>k~rSJ}fhZL(*YNCt3K_HmKTU|i?-T*#;ouepe@VZS9 zfpNtNJKuXeLNz+HIfM-X(PiL70SIxR@)sAV~XRuS4_)NY`kcSx0Y=-n#|XtNh9ude-ALaOx%I(f`pmV(A^`2wcdyPkF<%& zJ(QSfx)iJ-Qc+`GD~k(N_w2M|fw3)L+R7r73vYr{jwW6UrXd)Q&T5mLd8PcqUl%$m zo2;nZE`?djq!Z+q*l35TfQxs^h`6>S$$unWV^pSX*Uq*kO}1^@wry+TgvoYIwr#s6 zTazZ+cHi~9-@W=*Yqjds-iNkXi2K<@|2uC4ze&WEB)%c)C`o%FN>8nwGWBu?)9c^L zfBm}iFM%8EfbP)kCiiZo31jiF;T-2+QL$rX?!r!UrY?E1L&MAvMgJ3hwG#>IBu! zq+12ghh)y#8w7gTjBD{U;?SVnPyywhcZNb$Vmm*EI|E)I`ch&6Xt7E$>F0k5>b?RRHK6UT#|Dus!N~t}LE>}Mye!!+a301w zg^av?65jkr^+%rdDC?F{-#QN{lPT5>q9zeBE}v!jltcx56jw}{h$x*flyHcP=7zD!bClcVuiZ26Zh=%-|-59bw4C*d3|_uaKSWavJ|OzhQyVm2A{`bhe8nQ z5HS;#R5=c}f3{HO#=uw&l<`|3ds&KkjKIgA5KgUzk1C+7YOK9Wd0-9eGMgFKopd=? zb7@}D_x(DWo=vyWY?v0ozmY3)bPgh=zYk@3B^*1*)K zsYS@tejSiDgpd`Ygq*Co${U_F9}9NZ!boZ{OqpBm;PC_7h8IEUKUi8-qeN6`ZJ;L^ z?1&J1@dXyubM{YzzG>~nVFSR9F?n%G(ocZ-m#V-qMk>p|b5{q8cH=7@KLJ+~*Qc6o zh*6{m_BIf@RTnMRxr2%bI1)ZC0f|Isrzm1EMwKhTjMO=rTAI$Xd!p~OJpwqnf`Y(e8P9e2Cx1P!{EEw{80}GRWXwcatzh#bSQJE z?kZotxP9~TxY8_}mAZ5GpXI&9|UhU<6 z-A_Be?xyhmu?%U?)PEkURHkx$jhpl9O=B=-=r-(}4fW$w`;YsHg^{I!(^2!wAigDd z`)ffcvxYZQnVi=#bJ%H-f%CfugCn5p&~NIQ{6XK4=zxrnmdKu6r36DAJ`=TJ`#won z=g?k+8Wgl??5>addkocw(^EK24rFp=+|a_#gS|j6NDr0 z9~UFi`+p?Z(j@v2FOOEF{tTJ+ab_I4PV?_e8;tSRwQ{TTd?c~nQh`I&1-JArr8m2U<7Bl7&ktCO2B$W4Xm3o zlAb-J_NIMNmdpR;vCi!-t0c2J0@s#xi@E9#T*wCIJ-Sw zccJ4Q6y5N28S3JSRLpENCRl|q(~G<4kw&c$wjk#oyVo@%3gTqB=GsnBAhrlylqEd>)b&uj#E3C#(uwcs<~Gad~{{ND`=%uGV?3&Q%0zys?ZH1 z3@LI*^H_^VRNXXK{iBHU8|QWngT3NBG@cFyQNN|zs7xtXEBjG3%@vO04n(;_SA35X z+w?zqOJq8Y{f{$c2Km-*mSW~mSe3`-rT`IfEDqZ{)C&8te&N7|sN9Xb?GNH1ya6(l z#d$rrm|NAtEeFtK&?^9@rg@crE}z0_N4| z=^bm4dL#dFPDqzRVaETPttTh#hQor2?MBIrCa|jJJ#J;;{kWhtRAzL)s&nYc!7M4> zWSyDF!E9@CSbu=WeN^_Q@5$D^^6b&h;3fW43#ycqR%oGQ@ST5e!e=M7k#}!aC%2G| zbxV=U&jUWd5AB)#yFpQ)F0*9rDA7+&F6(<=zj><)V)p48S&x6#RLOD^cDHJLZP z5@|tV+p(>F03vjA%9|mtcXFWg@=1099moV@ub4WM5W{W}1}fKGovr5SP^#kGeKQ^W zub;T8@a^z&^3PWWmIG>s!ZfbgWevc+EjA^$RIe^_YDvJe*#3(e-j17W|xJwREFfRQMrO;np5oRMsHLz z6t>|Me}WOftO#u25A@8UH?S4*o>OL>hG zbCxDy@zR2ypkz|tC{wca1FFIQV4`y(t&8gbP@f^^f6d|2W-P(Jo8GR@pmpO*sm;qk zdo|vM%(K(dR#9JR5wpp@2;JQLb- z&3d*g`0CWn;M2XqJ^2s9whZC1u2&iMby}aEL-h`aW5DRk(6RfBEb*sViIcJfMcex3 zr(?i0lPk>tOej!{sEI47S1rSZ znY#UE4qp}CA`4&;qM`LP>ru-|o>Ac_i)OS}Eu%=0rIxJk4o?HC&wg>ax5M_G7H5fT zR3Xl&`CQ6<%<)r$ueT2LRNOSt^)eLD{&20&A2m!Il*6*dFVySBtVLrgrFEB^#dUe6 zZnfG@5ZovDo0*_sN~>t=Kr)S(BZnz*?IlU|ZLwPLHP?wfw%ym+`3A5L8(D1TB#=)( z2z%|3A0_~?b+pchR*C*80xXmu)}d zzsU+Dk_*FFvau_t`1oyy%ZZIjZ7ZjnV>hiSBd!gxTwk%UvM_-()Ozu0MxQX|DQ zRtDLo)apWiWZ5XfB{nt1;b78OEbqtGistqG=x5@RETH|t^dx@d9^Q}{(E@MDRw!Vd z!jKS^o&~sOz78Ef51)F!x-a1xq{7$b*dldw*dSx1`%-2aHp@jZCd|(Y)iZbqVjzc8 zF&E6!dURZwv=mL?)EWn8Kak@n7 zwsU{)W*vxv#hu=-+S`O^IyG1mA}4e!=Vqgw3eW|YueP0A(w3Ztv8(zT+f8}S zdk&(+lN!CaNo*UTYFMp0v75Jr(NIKDkB>ZxPjXalfNHa2B(Uv=}>L zJa(do7A7r;=Y^s{7VI9`_u3~e?q(EO{$mKbw7#sRt;J_xnUn{d?=U_~+K59`f>)}P zs1kt@_v00jT!9!jk^R$GKrfS(KXW_K7KW)$d2H!2EGxpewJ zdBNIqa&z}+IU1bhuIo1o`s6_#lbMcbVzpG7t))kNz!Yy;C9-hhVaaTW$pWOnN+v2? zLLTEoQXA$R5H&Ugep{WpI92=V^M=}c{IO9rE~&mdYH0pvnX}a_$gC{&joWtXqGyb$ zIFOEl^_CJxD^pq(j}aUX*$dVf8!yoKW1MNlqR4Vr(=5*)sWXl*&IKIykPeJM=}8?S zy#Z;04Pk4|8>W4JbO2XIH;_ru`V}+{PD@0|*|K1~CV1#0u=sm6Nrg2WHxG|V6O_4j z^WV9dnVCumRf{+xf#r*QV;K0yd%%_l$QQXze0+RlX%(pt07c{ZIf9&BN;({skGs42 z8gY|4$>IrfwA4CXRq#Y;GbCe0^KF)T)A#7CtscL1zc2rmTW>?uK|J)R}1B z5IA7XEzO|IXejYwvE`#@kMV;I-NxSp>$`ShIR^7@?Ferx!Y#>uGQAht*tkC0g-pwBBe2 zBm%PVJnq`hokztw37$LWRR!WdEMyv^SW9>Jl^GByTKf&R4hFiFa3z!X5xTM=n8=yN z`8^}B!#>~t_W>HUm8M@lX;_!%@9%tT0^kJ%=(qD=D=yT-OlYeRM#5qmS_k3ZK$IGX zq0^)1_{T_G5-8DG72!Po>K~?#Yu)>`ie$Pq|0(En{kM&u62niYq*FH`n=3cob}yW{ zTpPtTtxZ1uI+~2YXWBx?vim#qG>c7_%aV+Ob^FHIOCH1>ouO+bx6md~seKvIGd>}u^z?*WLz zP@0h%A|0y-Jr~cQ{Bbv*8)zgM(vk~oyOnX;@uVm(KaJPjAtKTKW@>!+Ki@lfR8wwF z(7MRyDaW6xYnOit^`=T3WalO$vAJ|;<>6>dzWwEF^=1?NA*I0wLsw*ouK_eVOnKWa-pt3Nh?Kx1giz5`-7vc&P!!-pMmQ0%tJAcR;R&fT#F^t zVKXjxawApU0n-LuQRdiTnx>*1RJ-NT?o3U7ouW#HUW`mGvUmbJocQSCR@>v+3Fdp%w=fplgg;fC`Ym1rh{Vj!(;zNJr3%bdNcH z%#>&r(#cV8TV1BTt&OTUD=W)r9sQYcY98a_(s-TnMJVw`HV(pgu1%DQJoa@02^w zPNdbLy|baob$vu=tY>0*g_czS%+YRh4Ez{!eP281*Dr7vStt4p+3sbi}gDRF#94El)%VAIaNsDJk~x?Z@(P5~%)=6Wsb?Wl>zX7R3M2ATxc{vApP%X`naG{Zce5qK5k2fX$C>+QdZilf&mt%*E;uKuECQvO|vTc z&Z{ZMn?ndt5*oa#3md%Rqec3(wmiA>zL#m^f~tvj>(B^rs-aKui-*b2fI&D*Rb<=L zH)w7AfvjS;1-$ShSp_f|IeU3UWN_n@H!x1o*0PBXn!*o&g9oC4a6vs{DFstpTN(d_ z!6x2$&9cmzWp{b2Lb_aA(&v!tnCn+myF{EpKnk=6b^DEqG`cWKpbfr>K?(*>)=iwQ zi_-D!W=Hb*L}Bdsq}i7cT!O89=-G)=JBrl6I5%1|-Qw?(uxsIO!Loe%BTlm8E)F|4 zFP&%{WimOB-xV&HkkR5+QOc8A|0uuLdzIdf#^*Y(o42fK)KF4_Z>!48zz6i26a*43 z|G3P*roJy&x4j60@iSU*`f8T6G?T0G>N(MgXog+C>q;44U&mI z+|VfU%$?t@r#=L5!AeJdHpLiaxcC&SO9bROoN5ry=FYt&`&woxi1_U9>$rVf**Dte zXZq8{f}mPI7`aL&l|iS;Dxwu>Yw5*J`e};UbXyfJJfVIjvZ!8;gNr5{8n!a*tx0Ai z`HP&b`5h{kb$Duk=Tnm;C}l`@%VI0aR9z~naQ&P&s&|-y8q!d$r9Wo`2i-$&LuaVm zh3j1&r%Jk3UUV2(?OneBL>Be>PHt{)fR4-ET|9~J89`e(T%)=LGbfXVe&^-kY~>s# z24h322r4cy|C*+)a+DkKOkIo;+rXqGPv)Z>u(G+t z%63DkHc0pxz~k(VEF4C%3sjUO_&K#f=B&TmsCkg_@=)K;`vN*C$Y>jBm z?GVLDcwkCBbsp&yXqhDYKaW*V>F>tO#7uIlrlssG7iFHhZvyrF(~8d~8+J)Gn6C1$ zt|Ai|q`WfXyg5&U63Uv(_?A7o5unbbT6;-<=Ad$k__VGuJhG4_?Tl*S*6+qK^D}}7 zY!s2{X2wAG+Y|YDSs&~@W*DPTk)eoXc!QJnpWg$G&{k3i?=PSojEQ*wBmux+0060` z`cT(P2jE?zN||+NB}6D%bQoE&g7itkJ_LU7n`Aa9Df<-)qPv>m??<>qVtorx)>FUp zyQRY8{``@|*B$zv#Um+S>>lUBHa?V z{`MT5N>^0n94YLTd}EP8Flfd}P5Sw`6?f{gKZ>aeH3D@N*6r z(-=yGdMue;njJ;?M1gBzu7tM%2wy@&M^X~OH&%H0r|y#WIEzhOH=OxEu)?OnKgAcA z!IRKs)hK*0lYg{O+Io!a`zvhk4vHV0yu4s81s1YzqWyFgM4GcbBnyau_l836Mwv{R#^qW%;9R5y!UfT+Pl zS35L_V~JO0K^^8Fv4p27I+CB8YBkU8>3MEXh${r!j(Zs1QMTByqplH7K1SF{1UZon znv4@R{wx%4C{knUn5PxQqmeVrz1FiOZ+V)o_`7OkL10gXd)VmMD)7U6z9?>u9qU}C zq#@?V7>@n{7EPv`F9%Ge*5Rp!;yeQtlO2+rD5k0tHUpHC984(45L&>>IN-@#3qsFR zAb@S_=peb{78LwC%yi5nFMRlqTLxl0zk7x3wkHSS#C%AfO96t}8;v2FP9Cdl8E&1@ z7JXassB8ND-~!&58jo;hFzw-Ta9JV~?C50A1>VGjKD&CP2rOqpm`N2=7M#uqW<~lF zeTWPvj&o6|&79?&&lUQdzv4BirkvK@WHJ6juH&kapZMD-*#@0PdQyK&rZ@cBnm(GI z+O7A*&8Q1)I>AD+$ShSu`K0x;(7E5v9S(4htE|G!4|qIyP~5wqRwXIlwf-xW3#BU| z`nSvVW=U#Dsn)e1Ift& z02EM(kL?GX3qWrs10P??17XHmZ*Pn3en5lvYZN=oIji^x#AYmA^CW~Mf&hN6lm?Hz z{y=Z-haY!E7i}tqG@hSI#BVjO1kT^Rs(MRBDsdhlWq(!a%mb$w_IHU*NWoc8Lmv1^ z^J!Hv*Q!v=KoG<`JV#k_R?EghkY5?(p!6yi>Pwg5eh8nh^!p(R1aDl5YKJlieQfIh z`}V*5kC&I1j+)+=DaZf(_wPr7z;J^e-6V zi5c!C^fQDjv$*{pBf_raIHqJ4e5t5xp3gU2bkl@>su7hDCoq6ATq5`;E8Y&~acDK^ z_k;&d{BH?O)k&V+@Tbsl1W0Lr6_w+Cb^=+h6lE<&j0)_@8$YL%;V|~ai{UaI(@ZJb zt0wg{e-BzVx)38Hm7!0Y8`MY^&QD+fEU<>8QrfbWQ*Ds6Kbz1;iibO3BM2o=hIhF@ zK=^&^g(;UkinKC;VfII$$7FY%|2{5(vH$>WM{DN*v%-o8i)YFi6ZcV?M+6JH2Mvl~ z@EeF5yg`N{Y7fJO&Re(;3R&4(_*wlk&^8lTY_Vq+v>rx=kQ21W7Y}Z%r zXTEUY;$s&Zvc-Xn`CQAjqD3?k5vRkxQE#{ovW-gE9W0mV-f}X#DGL@0`y&E2TzNvc5cGGU* zPd~B$U<%aIX2{ZC?;|A~lS?H&${eB+yYnUxyGCMycC}$uoJ76EjP=CVOPYq_L!AG7 zeMGFU&VyPcRZzQ4e}frjHu6>vY#K+B;h7N0yMAcPF|7Z}*D)hG z`CaNDu46xP63uM$)&6ZGZ;wtWKw*SxkZ-u=TZ3@71+^W0fvR5Xf+n<`nBqg;r@Q`t zfHM>=L>tm>i_rz?p+G7+UwTv1s`-5!kD#FBMv#>bm){4fe!$!q2x|wHeL@`P;%7qG zWda#?l^h^*0A$5}{{A!ck|v(oselp*m^|?-)4lappjGWjby@<_Ux!x1W58byXR5qX z-Et`&hobp!7wd?Lf3rCG0K#O>SiIe&|NYon!)01(lVS788EL59ZE=(VyL>FyPEH|~ z?(OK1#kn6LhTr0UOO;SOxfq#c6XU@=HP3*hWFd?bf$r0}`5!+QY!;;MXdedAR-?6& za>ESlAEW+(^5%F}*!U^Hp~AF1ca*~9`cf}7n=^mz%BM8iS1#N60b+TTo)-kzdHudV zo^bG*mnSA<4J6^L)VagyqnNAED)c)?>4Iw$)XfcMKZbTK*!RJgqDXXDrs987YDib< zvARB}*v6E@%2%3@SCr%REt0an95Aft$VRw-*SW8jk|=L58U#1eB4dytbC}L@-5KY@ z2ZKzZqHmZ#iucRT%B4)?NV!++T}!Jzl_Z!&!i=L)Wn=>&W%>#(Eu;p*qC*V~M#UB8V6!gB>Ss#oOyaKiNnRPjtjoHu<;szls!C}z z@)FKH^T$C=iI@H5wY~@d6etsgs_Oca8g}U3uCM#T@tx{~weYNz!yjE;T!LbJ>~w)K zc)@@XY79tZ8XgYuDiUg_n7#q3yft4Jk!Tyars5DPoW*(>T|Oe7HudSC4gTEGM1YyZ zelPoQHE|sbro}lu9%uW;O(tU?R~G^OISGa^#v<9+SmDkcoRU_}G2PN0y#Aw;RfB_kShY$=og>;{r$jobH@lwPbf|Xj#kat>(%FGug}LT zyCam5nH(KuUeF4baxxxn*FHS*#(H#%Z7Jv!Hd)N`&@}N81=~+Daf~0@?ikDN2i=Dg z1f`gQ>&ez!KTjje!sq{fsI}l;mwA$9v&=(e38nuPxj3oPC+hs|%Hb02@T2OvXtQI< zxtfM{^+Jtoq}cp!dl^Gv>NeW5oPCoVkJiMDBSB0VckEj@ zez3t+{44>Zb0z^>FBZdC`ZP9T zo2!4c+Ww}t1hU_2QF~mJb|Z z+vCJ*JrH(Zk+l5w_^8(pk|Dsq(K8(DlW-lLiymdBJgvhfE8!;R-MFaO9VhmtxF*QT zDHc2Aq1eG)qne|2fYThW-gJ=~EVrM5|4PP|YH(xN%R(bV{-5nM>Z& zhs84Fy`RUKg3LQ%`*!(w@a2EiCQf$D#DJ;EilNTT(l28njGvCpkM7HSGsS7;UYAOb z*(U*ANYjs4$5c*Do}=Yp0VzXqtEb^0DLNH=saIy&pcD|yUZJ5+P?`CmZAq`6P<{kyQW!FmK3%@E+4+o05Yw~Z2u zJ_Kwu&WKLdVWGV*hnc{bzqq+`jOJy*ua_BM>vp|}F+Z->z-bsjYm$RSbB4$EmE)p1 zotMX`(qEjKoa-O+sXW-OFc2_I!Ja-pV=trcFOGd?(W%chb>Qzw$N0`HE}0Zs{=jxF zLa=PLyByWKYR#!IEE_{wwu>gI1(ood!6(%$sJ=%z;Xn9==EbnS)SDvtcTz=EqNdsb z^B&b6yMi^9Le04PN0b;z^waJap$m`a$Lm8a;vi+pHeaJZ?y&V|JKDJuiqY&gHy-<; zA~j?NXtY;T1|$9Rp=qbfD!z^kZ(v@is~D0nf!LJ+d5)1C>8s?BrlB9Ck01wr9ZdiO zk|T*0sPTGdS68qHnrY=EaJd4Mt5JY@Vh7R{10>D1M0Bkaa+!R)<`vQ2a5E%okciQ; zpKFUUeKl=T^ode-#qR!KhC3!IIIn!#TjlGj-?po!nl6DoXYb4}6LoVUR!#HfR|Cv{ zl=V`(iElz+lKc5XgT{u_m~Mf>$e(HZ|dcHd*0j!OQ=v&KDTg&X{DX?vEXVzHp* zsQLlylAoh|G{sx6U?xMQOX=hN8p#`oj#AXV<=I5iRp$V?nGn0KMd`S|3+*Ne)JX8U zZY?XC1iNlw=sRjss|RII)#lR`9>R8QHKD*2i0^JW+X4nR-JX{!eC-rA6hBDj1CxU> zE#dEcLdjc_ZEfR8C$)iy?xy&yRk&~%PjJ8pnPOn{kQ@2Yr!X-uDdS;a;XG@ zXM)8sg(+9N%d(NX#cJd^C9PMb=P8S{X(jy#ySftZCKLyd8Q)jygm`M0G3XD1g6|~pk<@hmHaKT_>y|xCk!p6#vf1!y zW`dAG&R@CiG;R5Lcm^WD0`hg#KbUXwRD6M=vKeR1%dR!~wp8$Aj3-~L0>wG=q%ato9aQ}jyNV_ev3Lko#O;RMHk3hKWU z@gVU!k;6$7QOxq=dKY>V&&EYe$BZ006ZRj&a)*1Hd_{u}rE32!EVgA+dK4qOUuN{a z-lwFvs$GayA2VPQ6WrJ`5VQps3TvBKX%^!&xrs%ud~?c&#X{$23Y!o{zHSd>JzrK@ z{)9K#nHmE*m+vQv{(#l?<-*ZF3ULHDRF1tLSY5}tpC`Gg<}bjy0tq*u7lgDi^RWc| zt)!4W54roUnKF&T}nCEK)FSM zdr>yc;9AE?%8|l;3tPzy^J3@A<;`Jd`uTe)I-{lKFh06NP&jItplbR=ZoF7rm}D0+&s;ZVaj|w_GKuhivA&-#?_e;5wog6kFPda3k7bFVeY9GQ^D6` zYcKhkkS_rpFvk@@PB6=GePDn`E1gK`$+p^~T2i{wgl`*PIVFbieA{^fEPn8$Y&nu1 z>0C2_aNroEB+Ltrvh2w{<;8bC=hWh7?!(@b45>yHqBhiCOuJp0&rqL=gI-gmiH>d- z#@QpjW}3Q3yBk*c<47bB;BNWQoymGsYaO?^RrkvbtOJQtV#Pi-R}CV%?~KKmMO5HN zg6Uue^GgxT+wp(Pfvy<0o;mg{0v_q*&-bt5?_h^Z+z_8y=^?@Z022QnEXR}r}{!6*iDo1WIW=%s?c%1m3Epn819#SHgh%F zl!R`%i!h^g6-TFln}fqyN{cy049F@RGNd!fbujYs={5)e>X2`G_tVPQ=$0@{xHvoa z|9TF9dwhtBg7<`2YS}*wG};$yGAV$`1fN5K%_AZWV_^YZQ?a`X=FjL0m9XCuzK1fy zX5OGHd840!2a&B?y0Ib!LZRvbXXVgyOr?4_8lq2@dnlTesuBmIF$CBW6#e)nIEo(J@{fiw67 z1h=X6zkdA!Duw@4fo+lqKnS$8s$gGDki`4G`VfzF;e{tkm|LjWPp((+B!J5Yk~f@e z-#tS<4B1b*Mo*Q~*kiWbN9G0L;n#|=T!^~Wu_4{)F3Ac7W7ga<(Vqg<9%G?_I-4T4uaBR>u$K*!!Pi5| z!z>pYerNh0S2sg7=M$`gvKYO}RlM1bSYHa(y!;B_QNRriSbG`K`XsfXd_U4W{u}{X z8xvZP>uC8GAgvo0@5U3bF#+KVWWm435&r>sxZ763P1M=?=C>H;!6*dlkZNt}O- zR!@jAK{u+(OsQtRjT5ADkjm2`7s*yxbGYnKrTFsn&6_2i1q_9)6X%cRV(_?cm#2j^ z?o}LnYikQA`i=G=hSk;AAHcwIvo^Av`RXo7`bJdAlogdc8ODy||SApsz`<}hij zf+Q7?@7(je829Ad{49g(Q{8+l&RX}F2zPj!1KL+uK4>)2!qJk$jb|NdXB?_ zpUmzTqoRb%I7p|j5Vvm4cn)hz4Dl6sjsW(;^u=Ma?j%GVB~wPOQTp|%274H>;wi$C zfUiWafb@Q(G&#t6@g!J%Budk+J~JmYh3h8C8+MWdu8WH+IvTsqYuN&Dt2N5f6d4=Q z7WW-v+IRZfhyALTy#|6u3kwT@qI2G**5NgMaQ5>iS{$qt+7T+oBPmwFWdXs22=+Nm z7q0Ncl8)3?hi_kKhGdHb1GSAnOS{_o_qE6}R*E^WEm`=a!q5Cs|5=#_Dak0sdGnNm zmGaM5gCEYl<0R>qYqyTQ7U0~rMekc_4xh&=w|-_3M}0}*{h?7nXt|tFM>0(xJ>lT@ z)`%yO4$&JLx6q!)Jk=hs4oRZU8&Vzi&ns!HGlR^6ui#l2ENv;K?!FZ|ZG(^Y{Z*GB z4x}jW?E%hTQb<$x?wT`TKVkc{wvhJ&W^uqLGx*@bj)q#N3hcUGz$OUf;{tO-Iy*Xo zPC#!yZA~R*c{}CGWT-&`5+1G-C4Y_;9{HmjU~Z+KiWYIV-xDWvaS9B0-eEP4o|9@_cLQ?EpCRh_u(WdykyN(K4ZmaB zXt4fUAMbB-_(ov9{re2JiNgsel;JU5xK{z?ZLat~5GhAOBx+xF4`&otVbCdZcwigw zDEhxHXnkY<>wf^vg?o5{dq`16H4 zeeLV*>$5lc$?08upa*mJ5O{IF2kl0zU?1n<~*$;L&Wz#2Hu(*7Qdg zs|%~qlL@JH%cYAgq5zjJpG)4FAn(A_D@z9KvS;z(q_@9VayXCC6Na+lcoFI^3q(LP z7O}5t-xqiVJBNTbx2j&nN=DkPO+2?dvJtaci)Q<8U-eQ}!xc#5n3k=XK8@F`qjU)x(0Q^w@0rYj#OQ!nT3l$)0$EZ0V&50|T z{$`~FdYh&XczA=~O`639fL^H{*6Zib|3;{ILRrDo-K;eL76}Le2_k=|ba#CqNLfwQ zxXNHtXGl>Dsn0x|13%Z&I}!7oH9L1-DoIh_gKby;Q6iTzCyCkU7F~Z?XN=CIfa?@P ziR;4eva01FZNcnYy>Aj>c%-=xXOuJFUejg?y@b-{=|=tcSb!ZR#ff=!jSXfPaQ(&- z_1X4ct-vbZoL#w~I>2=)!EU0z0)TgVM-jH5K&Sro3?y(){d-3=Kf3z))Y^0krcF(q`n?7UC%AQ+!1igA0AK^N7aPP^%1_ zXM0I$Ve|_aGb4x$NETv`IN~8gboC4jF7y)<`X&8zK3b+W(@h)_GJi~xoLS6`>a0J7-aT5YrIUK_ z{QL~aza5p1GC3Ww!`Sv+kT+mQ?IB(dK`kI?Nk^2xs}YKmffcOy`aibPG@bC>KsW@(+tj=FN_PLfHcx|7s#_5x>be@2U7P9 z83>yZ)YnMQJD}SV{M-XhP|xdWr3xIrlRpr7xTy2BL-?6L9wL^-1lWVlI(|MZX|5Xo z`Sh{peA~@Xq=Q1aLZ0g1_we)6xBYnf`uxXu(LnI9v@F`e@%2}dH(Af;Qo;&@meA;z zw~GAD+fG%L-@Ys7bM)!oQ;j0u_zv7*Ez~5MA7onUFbkU5TU;!lMo=Mt;b;n*DDH_@ z3aiad8_c3R!;icfYBt^}owg?bp1E-wGrC%wh9vCEXzmYb>>k!Of1Bc=h32?aj}52d z^IE))h?1k1ZT@Lb8DZNArQ2-TGQBr2XJKp2863~$Y|8nBa~u+0mbd%p+$-o*ggoCT>!lpzKc*Z;3-@Ui-vIu z2n!1X>OdrDENmyebCn0n^yts0Nxs@YCG$lQu$^^m${wT_{IPER?HM^clls`0V|GKg zN=wUOR)2!j@d!YSj)yff=pfn!eIx#p8h7Wxqz|qXHINZWRp6MI zBOGn{qzqJ)I3LeKu#j#x@%-5 zzUq!k5O@9`-KU2R=i$W11R1ZCBq*(&LbOW-6otiT^mk8xfB(2jaX^d(OTQ+L5CB|Y zR8Pg((Ba_#j{`w{=ob!f%c~`Q4n^MB0+jOZ70Tibibu{f4_b%P=&k~J?2768Ql*n# z1)Ncx{J6|Vt0ci)Cg1V7C*;(*1K5EuIhep@>gxOn&pVKqM32DN08rD02KaP$vc0Ju z-1({;2DB!3jZS3s8CKu_QHj4PBAqtCpauyR4}kPGsF6S=KA?;KZ+zp>MPO1~Icf9e zt8})6-_uv`*VR{H^XIx_Z}kPs_jB-M3vIfoSScdnXi_j|kflaKo^ha<0dpJDpcf^# znL7eKINl_yYdS+6Uv9^dMh3?Q6KzAopvw^pX2rBIC3A5|B(iKuiI705M$0T7#}!&P zSs;~fa!@5Zvz{KLU{NKQn}NanU0S*6-2_%oqK%^Q*V>B_YXh^GhEgK2cH-<#wsM1~ zcrWEfk!iJ{My=eyRaCDvT27j#p?sj?I_bt&D%cK8hZnCoGl2Aa2HBZWf;dhdP7cQ~C=`0RqefQS2{3QSq$%KNrIP`|0=q zsN^7YPT`YoebuUCD`3I|!7Y4-&z%xRaLUWVuGFJO67vr%LXz`|&Ca7sE``MJyBP<5 zUu*feCXcuA-!)t9sY%1l$t=v3k&x{7j{@bD2DIwvnD>uG!6>KeU<^W`7#f#MY%00{}y zIxPMxjAIGQ4nnV%j=)syAs?oMnW#6bqz|2+nvS4Pnp(=J&Os}}QebzCh@ft~B!a)k zHjjO{OSWQ)Hn63|DOr6)fsl(+?>dIavoD({+>~NG$|7{8+#G;QuRj`Yc42By`!1zx zrkBuQ5fZp4Wy`M}xQxF3yIB9QXj|{lhe4`99;@wq5X~9*xVxvATIO@mAsY>F@$kF? zIH@uoGP(c9!wS&G0N^R0DA5WgZK|iyQg0!V9Ji}z;s`VtBM zN76Nh<@vVptmT$gEgQ>PT(~IZuJb&9 zI{hvAamEA=>dhzHcRMhhn^?j8X?Dc`}d*pgDUIyv6V*;BH$w+XSq zX$A9%6s?KG#a@|kw{OqPh$`>iC3pxV175HD$^?19E|AiZ=-}w+2qcID`#sR!F3|v$ z9dJ+zS=yV`1d=#44;OJZ3l<(@+3mv5ygVCo2iwu ztS$a$Z$J!fFTVw>l(~0ua|=Bb+OqdhP4ONh^|owKNj6pNkM@o8hS&~|L`0-RxM3EG zD6en8(%&x8eHm?tZvzWIFMe5vGgRp#E0NP6)Bw}ul=&(dR2yUlKwTs!@j zmCtlRa?bFhm)+SbKV5s+U`&Ui7*95leQ^<6Lj|1DINdcg(7kky(rUcV%fhA5@`;ph z0TIzVH&T{D=N#AA+xx{I-Xzk*i3AiZ)Ap8 zDK5lp!W^GVzUWGQT-#St=d@uM+YPxLBAMP!6XbQ{_l@BzE=YW+_inP5eRP~LlH-cl zBMZj2TIpXsGz)hB7ca>3Whq&!xZU8S10gJVmNCAFAWBK>(C>3*j+J)o)443!bU0D2s(5&Q=Y|2^JeRbH&Hm zTXJ-3@bdd}3ZU8Xq}0oi0qj0t?y)(LtASq#;4FI(P^oXKMne+8mEl28Qv-9DSof>n z9qxk$iq!2V_$<2!P`s_-DoUeCH-TGsF0Ub^1y%vb2xeM$>! z^g02%fdDr*;OxDB>Uw(u2Is3QM`_U^gP%<#!IQ*5GwrO4F+i+?*6i-({hk`>Vx=PV z*UQl{kW$#T1A|@#Fs0e*G0^ z|0Z<-yY=3k2AyGJ@ylv^-RhI(;FTSBGyNoj{@N@&j4e3sR2Z}D(EIfZ9|?1Nq&L9l z+6Lr$110-*^?M4qwX<{2#(T+KC@2sBzLO6J2770=LoC0LZJ*S1okvsMZ-gW)>^^ZR zNIOW&JSjS-z>XjJvd6Sto@)_7Qr=)v)Cf&$1D4sgZ?8H*wXv2Py{Sm&) z?wyWU2vdi-U;G7(-@s`Mt+IDqG2Gx~Obf zT~nK#CF~9Iyw715W<2}>hSxKfQ?SYjQ0kt??U3IO>sjWzsPv8LeH78gtu5CV>pfKP zN@8rF@Ki}0l)tEVEJ03%g&_`nWl}v8KN+oGI_vQA`%aqWtBCY4O-r)|C|sM=`)NMZ zDONk=BYI09?7W){?8>#b{_ox1GP?)P=TdcUc0zIWCzIVzonnwB*En)cBNnGjTT>3WNg+CB$kN9e}FqHl}rj0p)#+e^IraO zE2WGqtfYY&&3%=b+*a?P0D1T4U94i3WjQM>LkrZc=i`bRyA9Oa+L~XF;r9K2NZifn z0wDS$LV@qh?fE%sJf80joW7kuAhzxR{%e4__XWUMa$c{gY0is4Q|@JoqC%hhL{bEx z0d`s_FTD;pb-)93P1@3c(iJ#8zHfIxmmB(S;eA(wT>hagBJtqTNv#$5;~~z1E=S)x z0gasIBv*_I^F*8#W2N%aN{t@YV4i5dUa1O3)e5cFR(&zz%x*qKHL?Z<&ZLJd7KR1I z=41lXiAhR)tu_byetros3SSZ#=<{6JzpNi?yR8}fD4-Ec^M6z)LdhY%i)VS!ZSz9~ z)XvtCn$o_(Yp8lFwtjFM!?6vy>e1FZbO&Sot91Sk1@6o9I6)u#C%c-ee9BG=J_`*k zW!Y^?#J&PfzBT;%)iWRx+uoJ59tf6;OW3j%C?(SOeQ~b30m}E1gHG}u5KA*!|GWbX zn7~8)dI|qA=mWaQC$9+$(dxP)m#hh|^IwezOInq8Ie8D>rnXleksWLw=H2tM>eFu$ zCgO&v#w5X~zrL&zKyY9RxjMDon6w(aq&t>K${=L@YlX8)PpAvWirbb;3#;!Ldn2Fj z4n?6$atT}DO%)tS9ilFMrTPB=HCk^F@&b%?fQSm{loYq|_j5)d!JKlhOWKR*nI6i#JzUWDZcAtz!U|`cM)7@fMLa zK{B~k3^Ry_5#08Hoxl&tbXUZ?)}#1_*ZYM%z%UdnS-|{*SsLeyk;o@|;#I<-Dp#KN zJ*CFe;ps?SQ>M&Kg`m6aizZAg8B*b5a_6_<5jnWS#kG9wqXl&B>HH>ePa36>jkM!6 zJEF~~xW5l~x}`RBf|E#qMfK_-e<6*x!lil`k?2eI{u`K}Cbl7RKiJ$c88^I4K{p8+ zy5GgdKd?Yo2jW7s^vUlJP`48f0ryrr((Y$?czC`bMXOGrr2PEpc6UzHZQ2g}y}qwk zIVoV^uM1`*$yO1Kq<#uj>PV4JTozl{S36oW6L)Rh1LP`Rllsxw4cyEe>>2__9az>@ zHcnDe{q9tfJBv)Q1Av9X{qpE+QTJwFz-$mGqJ$vP=b1S! z=4glbv!jEd=(*+Xc9U!yz&eGnF#ZBblOjG%>i0JQ$>ZVzM+q$rfs3rBW1H+UOjh(t zhJmJpWGb2dW|2sFQIG-)f(9uk>4wsMpu0_k49G3egqf*EE?xbo-5NiDHvdIEKbX?k zjA|*ACaEV4W7d_7O)lY3OOaqEq;lIT3nXz-J^)Iq^=O;C;=-bhr*Et~iM9}rh_a6B z^WsDz{N!CzP$P=RYFJgpP}^D$&O(y4{xVtYGpTnXYHUq5rhi_zEEGrrbjLtI`1Kld z84zNFAs!A?{vkmVpQQcipkaCQI@^*}Ow_O5Kz9RR8q8P#zV6#?1HBYgI1lX^ma{5t zz^d=#pGaLfUO=6|GJJm3p{j01%@Mn~P$(slzF(19TGk21-ZWDWG)rGP^{!@ndUDn# zys?s+_9tTz+Tp}6Jp9Y0TN)I3Vd7Um6()+;YNh5y@<7F=jpG~tuidNu=?Yrmo#Nm% zoB^c#T`$0k24otGE{HTl24lRMyA(oI*wpal{Y|3R04TOW5>Ar@XYvd1n%VPnUy6#_ z+?{#>-7;`k{gt$wyev60yG_JlkWaAq-bTBgKjZ+3f3>*6Lv?3%K=f{3-e0f_)_)mo zcl3w9A~)1pUlLuW+HNMNy%9-N`dBSbMC(_iX+N{OmC|jR7ujNMnzYV?U3B46z=40w zjTau*z~i9s$-N-{j6xQoX}#p^^9Foy+W;$rBK~8_BE~smnPkn4*-QOZR!s$35_{j=M(D?;R@5(y zOtnm&PEF4=8lQ}fh2vrdpml_SJOvtp8ASr z;v^20D}X{FLCQWuef_ar)(?E3xX0JpoT>l8bmQyA*Vcr;;u#Z2W2K`Ba|21k0ZazZ zW!p84sw&q9I#MZ=S{O|kcn}3j8(3^S2NH?zk}!*J%sBvH?(?vh0+inO5e*RW4Mdo- zo#ws2+|d=LtAH9C8+Cq5icDRE3+U-+k{3?@I*9xC6Y~o6hz&fub6SSe5^?VVv#-YH zL}0_F1%PccA4Mc&H+c>9OGC$aAvd!59s0fj;}FaI+fDY8IFr6Ma{{1=JVa_r!)r}Y zY=*lavsIc_#p1{nXO*Z6H1Qqf#4I)C{G-|;C0JI-0>U&Nwn3i|)3V-^_Q@eoYfb7Q zX!<6bZ2F>Xn>}#Zk$pb-9IJwhtt(lniXdHKe(*r)yHHicY@!C*B@sYmts$(J9U=dQ zr@C|S*cEzPLu82J5$ck(GqC>yEJwpUt=?+&6`$BfJ}+j?xZguSOLa5S7s3yPH;ZVk zerJ7^0rmuX5z&AZct4Q{Zt$Ie866P$kMsz%u;-}g&YSgyZqP>+mp5f=kHw0n2bbf7 zOqFx|wlM$Fq>nTxig8*mN;P4=6Gd8#^0d0{%P9)d*1ZLH9`+hY&T>7sO3Nzj3@@l7 zmwqD!CERuW%aL+zgE*XIqIF@zdx;D(eSP>(JA06^1@&QG|DrulU?kTEVJwEoJrfZB zEzf*Z-xZCt5y$C`<{|v9dK4B42ED#syuAv(9lRk6qgH6!6#oXw7~mTYzK!AJ!EYgG zn!b&(%=F6o#)d3qqRLsXdc>I1|4F) zT|@Qer>}zU@xLuuF3pNtP%-0=i9GyNhW_f%F}nkZp@DVe6G0d~usqs9Ma19n|Kmpd&Ff-_-b2xuZg30lVVfbeo*VVv&KqGyi> zyj}n>%D@JJw(uD+ruVGCZFEP9NWb}mL4Y==?$}Sw!6FYX@5fYBPj9eYLXhCFlM(%w z6qhR+cS3v>Yc45Jt0~EsiJ6vm$n=QX0Ud16ahvlw*K2mfuDWW2NqVhTRgZ~sid+L+ z1ziLS62$0K(kyu?^86K7oa%$^3*AtfN`(0f73*35bEx(8m%p_mv@X?n?b6DPYG4aj zf7;BVDwLloKM;q~ikvhvETePQgp5n4=wx6yqspqvp})@yeZE2HohG6qp1Qf2_^t^L zd?D?E%9@{$P|?up6n-*%z=6(jWR+%y9Xee8Iif>7in4c9ne^M``~bOtr{YF14Zv-+ zLpN~x5mb%$D{EI{O}9*j8{B5T7=L&w9Q%Cc-apcoCUI6BX#7h{no_K#3WEm}Y&*V= zW9+x#{c9iRN{H=D>a9!jeG)4M68T}We*$-7?T?*9g6$JSNTA9T%OYrX-dH}AK`=QKar~g|r z?~v5EvBk7Ao*6S)?VPaB@m-TU^%ZM9IuVo}jGZJmAD^g=q6e^Op==wQNIM6q$uIw# zvs>;(5U-LbCP5P=Dw%J(!9sc%Z-Tq7yl8XA1FpZ4Rl+dAEmt!cA7;&5CXa}GrHV>2 zzb**ud^}n0T2@X3m*g|^OQE~@@5ne~mL_q3*Su>(yg2Q+HcCmdl@+5N@h|l6ko1wLL)+e2QN|KeqVZB-S zlKb7x?L+uSC+n8&kLI|DkFjZnE#*u9+9F|KKcA&%=-ATF)S4a{#2)Tg=1A36D4y&)$@L`ezDW3&M zr=hJ>yoO!fZZ1~N(G}0TxAdD9-izPWIM+LUY-DxQpALz02ecsF^tfe-4n95;s}YcV zE8z&{w^N^U9qrWmR0b-EgS}jEA|pp&&apxfbo|E@`X}3}nQ>;$^4Qr-tYNzWqE6WS#OrI&QsSMPi?^l@afY;mnQfy+dHAHqOdwh%)-k#k)*si*j!hJZ&l zHux%v=FHX)A{bwlf=9w-Jq#~txJG3&&<1@T#Ca||@(=^JeLTf;)wE~JMf?{F1lIZ1 zO;U-$czJgPJDBh7AJe>+;WaN0PY*tKM+ii)%LiV)RSeBtpuzydh0oo&F8deMP^r{m z3s^4L4^Y?+bNj=f#8 zk5@)IdzmJD#2+9e`Yk^Izy&~_<9D{AFkn$5h6I#!J3YyX%PwkpPFY*98Amalhukl^ zobl2HQg!?M?j^Q_yeY58N0n-Bvb-_mstF7_G8C&< z6DIe&6&%y6c*AKQw`KRM1 z7h_=U`uvzr-XqJQWxEEkos3%F4?i4Sq_vSb&TZO)2D<2Q(lCu=`RbCisVdrbj4qlG ziELq;!bRj8DG5tTED2QO9vX&lbR-WIvLvjo(B^{O==?T>i&|er7SY1c{l?gjPog0W zx0sK}Af?P`AW514eq7_jDaM9zG+QG2cl@XR_`l)&S8t7cX|~iw4wUQoh5FPg^CK(l z!&^rghz;Spf)7upB(!==DD0x#?N7e>QD@@E(9cjl^H^sl;fp0gmCowI96j}##D6V3e@FUYF*vwTOOcAzf zh{hP18D41*n$=aKUTxi2-=3Bkdwa4XVY{M(-C$%};+OuRpX@(1=d1WkKC_UR8Y5i5 z4#H=@H*!jJMgnHC-WE~i#o%g8!bZpeL@tsh`_l=NOGww)sqWv zLPA%z>TGSz)2(Iy0c3HD{vlJ|ASg!)s(1duIl~{_*3Eomb-|NZd}>KMZhFzAs&20t zeh666g5Rbcx$0DcOvu_kQk;BGj(*g$;-oMaHr{ij+?QI;*|ghgQxTe{^*I~akMrms zYaFGZ;$j_y-SdryITv& zxttzK;lmcz7v55bWWOzpwBYK1#YsF8o&sn1@}-0hf>a#=QOqB9i}!B6~>T)43#7_)QGJ`r3-4WQI4=A9|yH zKo`ltvxWWJhJ>|6F@6+(W;{maTF8qd5Cq;V@bvV60TG$6x?Tn@ z)?0a4U1C56N-dlL&?-+5B$}qe@Ew1={@Iz{vJg%q)s2@G9k~irOBr0AtxyxBv|k4e zmW@qWaR&MM#qLJ*c##ju&5@*oZJ!Dk(0j{p!+z(lfgBy|!Q|jxDQs@=_9^NnUaVH& zE4V&o!6;?a71r!Cs+C84Wy#|#9RIeoY;itd@`bP1uH^(;Ra=IOd=cK7YLud>vv0g z=RbWN9jDEh+v2=z@mZq^ou49%QJ-djR>#}Ge91V7&^f%y=)o95QEy5mBdJty1Q=LRj0vmG>@Yog)KFSP6>(5s z09jE7&PVJSFUMTpL~> zTb`9{1I73Tj1W7&LJHCXQM1gy2#PCKx}^`tHt7x43E1pPCa~@IEOVVTwZpMBM~RG% zrbl@EJtDy3QC&Ri$`g{_;Q7hFYRWCe<633*cUQsjn3%4sP7_92!g7mg0fC=L>5obcRP7OsjT6es@ zUz?^KToqA>Nz*!hYs6X-Uk0GgbtF2CwUTlr{)9}Hfm94TT(?3dsbKD2{=wpq8z>LKTH(ynH)#Dq z&itX!&IQv9vz{@oo3zj>{+o4&S7PAjtGr z&XwG;M0P%+1G_Rdy0}aXK0CQNr&*26k`w^7d9TCwpNr_Hnq}lbFRZ! zMI<1TFu)jso!89eh}^#qnz<$YCZct&q|tn?&`B)+J_c@wVMct5zEDF9r1Y^V!E_rV(kcEmyhq(}f{j_?SQ1_I&eib$-97pT8){)!3($l3H; z`{PAIH1x`=-QA!+eLT*F$09H@0B0ipK`a~ieI+FN2^MZZuwBL24|mD*HKhC9zlcoV z>X((LM-NtD-cdb_?vM*&;QSbs&iEnwFv?Vex|Y|bqyAJC!I>yK&eVI_J&3RHc}Df} zkW{}Vl6w~Z))P$qgf(j zpoyakl-W_)Yx(@R;{-jv+^!DA;?$l6orz_zHvNVW81!KqBnnj#4XjHb#+p;Dg10_Y-?*3q{K*G2=MH}SyjIlMi-c*_{)rcq`jXoXnLuszOa zi3qVhzMamt(KBHwSW-!|L^+b-kZeG(Foh`}XB~~bGyGVHUS11`1mbv_7FQz3>fSz5 zkM&`(7BR;2NTEy~XKN&=s7TR82$Z^FRbi{IJ?7^$TIn|WMutJpc^}G$Oh4JKI643e zucZf@m8`iGaQ&nluTtDy%$&x1hOk*1)WDOvrL3OQ2VjCeSD3)49rH+s=C&knq%K3_ z-Zj=^)+_eyx_X7`K1US%gfubNF4NtPMTUEb_X{LJjzm5EOpSn9$r3T0KX9tTk70Za zhZSWBo!{vysKwD!E%MMS!ECXw51KroKChvHEwPsfRuT3+9POLtUT^LUyF(B&FR-2L zhj~^=U_n)Y9XhDfvyP(M6Cw;OBuYp~XwX9XMEZW`JU{DXsPG3vm`F%%OQe_;ef*rz zEhAQM?`xc1oPoK@%T8E1jG;+MxA0uZZ5CnLKQA&?mxP6s&7Y_@Qxlx&E`iLp(7v=G z!yhMYQ3`SZ_wda|uyM_?1+M%~Ace^*z5Rapr@ z$KU_F?<@v`{R#(M_`vvOUfNg??u1R^DC}q_6yEP)S@ly4PZ!nj(8I8t_e0%1UCXDm zUe!J1mS~F=OK}tx}2oWQoYlQ9O;aAi8jPVu35{a<_W zIIFL(?`S53P5bN(v@HeKx!g<-;W(D)<2|FLBg61f=lYaTGr;ORfYrZ#WZo}p0=8K7 zwS*Iy_{}kG?q-l_pwi|$K_>Ia&{nf3g!cSPv{!yS`qh%N+?}&2n?7Yvyf+DM$~77j zz#j$=^lrqEG$OGvlmD8uhKVoQr<*(UJ`Z)SjSv~FT&8IrRaaGL^cDMow9glfFPT(d z5i~N7tn1!ktAGPW{+*0yj*+M}FkRPuR|&HXqh{g_HQF7cKifJe73i((m*FBgA)FRmzuuUnv^z#6Nqi>` z49p1et4{(u20sgQ5pozVofOjzd&GI(nLJ)T^!<02fZMY<)73qFtFXgqTc9otkkcnU z1~p#96Tt50r$Sych$65!q$qHQ2|gPKK?_E7ruyxj`#L2=6^2p5|Xaa>zEgQtcYLd1C}$3}<2%sY|IW ztdF{9-z5geKplv1U+?kwS#Y!$1Toku*|-w@RUxjeu)XJmX2^8(J{cqnHp{kti1eOG zp<+E40QLXV-g7Shmc~r}5EX91KnsEIfTN>q!jEGz)5(3}IS5fPzP|W4to^feLT39g z&R?EbUAehE?s*sqG0XwGBIt4s2UD&F5s1`^Y+SuV<9T6VhR%_u7Q}}b@Cqdp2vOe@ zTrTkLuFwW0=iK#c?-NYV2Hzfp;?s^?UvHrqt2dWUBylPbQn<%7XnLQq0b|Sq;zJSsNY}4AE+TB(=+DS%0a_E z8{4nWD~s_sQRz0U4UN+}BDi!}P-$qVh_%ht36wL3Cz?(X2e0zH1gkw9ykTbspgrB; z`~)W4Y0I?nR86>_5r2@yZRs_*{}=@KF^&7CKK}s>l@?UtMdsjCO`d#`B)vGBt|^4pEdgNRPfYQ$)gnZ&?o*M^+vQfxd!7i1+u`yuKEosMeHP&1 zp)DdLCcfhSa*okQ`KweNVg}ggbyEJ zJQ^11`o-a5i7alEqoKZBi{3K)(A+_nH;nPig3>4l&DFRY37$+Fqgx!k!Ey}~pR|Uo zJGHQ{Jl$|-bpIpU9}E5c(gt3(jYi4A14#o3g7I@m?jMX@kyS3Xen+`AN6c-#W!zlW z=05!3!X!=Mip+*38j1FV;r0msX*}mqx`J6gH<1Q0d1+^H!Sz3{p~~4831PD@b3~t> z5@~lkFHL1x6T;;wE4*O(3X?M3iSOILOH$yMQwuA9<4`_j&EyN!t(DlRSa$HS((s(# z3(>tTQW>t*6*F1lK9(6bomy!C*KQ|M_f6I-|xCtMo=fBRf_UtZv#awH=yM^NtITuurDbVpWF%Ug`Cbelo0U z2#a7cWYNc8zx8_R833n-`G;a}Akw&*qJjT88n{{j1%Wgzpn5$f>G!BD?Y1{0lO`Uy zMYnk^7i`ff7QIf3mXaI4i@&kBmnR zy-N6{v2qw)Gf^fRW!Y*r5yvB#;DNnKaYmlqe(75qM#H*-fd4b6=vA_Rv#Ry0)xT61 znE@B^$PGTkz7DuOt%8+*B86#sm`dyB(` zV#QuKV@nI{YK9J)T5p0gN-`iI-}iz2$5u_Fjyv^F!bmwOmBFo^tP~9dZsBu3jOuYt zf-WE)H}(}lrMW7?Hf#coFwsI;V6U^syNq`6QN^(oM45tEk9}lSG^!7p8^hwPmn52_ zOp891veAF~$3j~{V0C7pHJ6J~#Ts6>xRRDy^7y0Py60S9 z`PX#Wp$6M8XkmjrR6DOM#dlBw3dwP-jb@JPJghZl)t7tQSn{cCPF(_sle^UV@r@39 z;xdEQ#$W9j%A5&r69EyW~IbUlMTs zD|u$+dcpY5uNZI6z}1uUBmY&6r$kyC$NK&QTeI|bti`0C2QOBs-Yi|^1gX<6i7}KB zt+o3IDkuEhZ|QV00vtc3xiM}(P6%qkk=&!1w4Sq(l(hYmXoreqkwv6fgqTiLx*-l7 z+&{m#0LU)m6Hq@J+EADk(&;7KUmQj^b8C03RXR%MPd4}Y3u#lz-ZJ{1BpUdrMCW57 zMDwNdTtu~pdG%Wucb=$Z7%W~|W8eaNuJm-;Bh)e&@KfW=%WTxvs`4oQZdOsu$bR9c ztq!mwmNa4(*EOJtxhdi>BwsoUwJ|awK?z=K8teJCP_%Ao9C5sojKaGdm1Z)xC*YGh zT)dijf3TvQ45h&Nf_2GO-YPSA73?#ZSNF*FlzvHwU8YbU9cfb4x=LQPyp_rJd??34 zZ-pi2xL-E}ofnm!ieSiXDfb~Q+daSxk0z-tR)NNs_|wEN$)un6(7V4~iZX-wu@WAF z%svPGc#@%DXqd05C&R(dgs^aQG1mom+HaK8j|4NyrU@Xf(8SH785*1|da{qB^7t+Y zFaUlKxM7>rH|7T#hQy-T?MCxQSP}2g0TcCFpwz9(@7$^yP^c5~ zrISmo@`+6*Ic#iZdwuR@POXb|&-H`+e!=u{scuoePQ!j!P?YV3EY9J+JJS-_HE#d4 zRG-IeqB~`|mC2;dqMeS4mHG(P$;QV6|4eNH6*Rm4*V|#M@&X?^or=Lp?=57Q@EshN z92s;T?dBHb_)Y$?^xr8jN!o-+HSmX;o1 zR39b$ny)DQ9ZvP6Ejv3Kh<71FJO8+|E;1B04sX)!(Z{Q4HNe;le3yaigqzJk@vl=2 zs}2l#eP{aEfD^(9rv<#D8QTGesuN|%{usj-+=EMtX1a~z^t9`4{!Fh+TzqTcQVtqZ zr-D+*hB_TBm+4x~PbxF#=-IBJS zWX-l}8&WT~;!1`~4fd6*-i7rjsL9%O^}6f%?L&=_<#IQRReTF&UgApqzf8tYhyUDT zt56xp71*z-gw6=2_2Kgp7M1%~_WeX8llo@mmHTuKLGcgS$p*WNu&&`5^i@o=aaj^%-4j$USw>kZv zt)q_r=d>M|_UoHwFrA5Wd)Rkcg;OSNcx{%V->JCcZ^deM6SJmWlIBV`+hV5^fJIL8 z+5)Zis(yu|(l@uV!V^NJXbEF04Z&T+#u6}{&f?d~);VU%!p;4hDoh$flrZUguv+L` za)?3hqah#`*Iv-AZEpf)E1_VKJ?Flwe>LQROyPCUJ&pK)j ztAvHw`3KpJ*=>1xV~m?omyJBTIV}vLoUaf?7H)HBs^0~8dBYLbOssjDu#-+||E?l` z$&cQloP<#1hgB^i`bZUCIu&w=!i&@V*xLqMEnr>LxQC)3nj2i?+M|xJNn79GpTZiT zL@$02a@(K`Rs(Mzy{dMMFB7xTi0Dvy#Loknn5HSXJWs+<)tIW`UyKR3)Gd^U>uqMFE}@d}FKM2BT^F)n$_L_(=CSF9!nfb54rxv~Hg*=Kq~ zZAWQFYpplS2(648nUu|uc877TymQKWgs^_zRKux}CV7E_6V$lZ-*5NC>vsj$zR$#O zzdiRRrAkUj4cUK9&%PEc?ztDJH-9bGWv248SmyDL-cZ>3BK2WxYGv&Rs#)Qsj#5Le zH9Nj=siT(%*>`x6uH4tPd4)d#y;CNLj>YT^Peh_Yy-B%Am zvevji&W%-n9p4LONh~WrEqUqqE0IN9R$7YGh}t=l0o*EC%-I;r@8vNXP`EbaE(UOA zAO9;Q?4e*U0jPbJ>YJv(F05gj?<49*zcm=d5Eyq7X8c1cMY$l|#z7RXKVV3JJG<5+ zuOU|5+(Yo|=o!MSr*%u?-!d9lJ9SF**@IIvIiyWsn^if-p`8_R1ovubZa4)r_lWg6 zCwnN0n{Sd6fuD_f=~4R7a07Y6KMef|?&&zSzt-*!f7EX2KO&2%w!}{>T5^$7 zQhItCSJ9)e`DRZ8+`_RM&z;c_{(4r)mv-p9^~O4q;Q4mi1`-=3>fF|^(I2CkjHvN_ zZrEo^ujNu=H(HW(6pC?RX;18~kR)c$%oMQP*kj_Vo#|%i<`5j_8kH+Co9jZU{|qz7 zv@Pr{@dSc1x;Kls_I!}?0xZ?PRq+_Fwx!XI4CY7B_z>9>h`ff9@3EI%Ey@A-Qw(>S zponXoruOkKCCKkH>ocKYn%dxYIJ{v@Ns#3msV(zpJrGQ>O}W6h{6N~Q^7rttG%+Bs z*$Li+SZj{!456%9q=gR^CkDvR29L1M4D7`N80TIZv*0Xh1YnW#rufD@GAG2sH$B14HvMDJa@jornA(L zfBq&Z4s7L)?^zJ!XcYt-v_YxahjJYgnVn8d<+GPHbWePu{T%s;Et6Pv1)j6dQo}JF zH_dDUf8&EQr$ppOj@80}%qyvBPADqqVlk@c9`i`Fha%y4>Tksll7$lo)W0dOqRw>) z440l=tT{o#K8*Dn6NC)J2osF^(EeJjzcw8K6^p5qVNn~QPyE~e-?D%bq#CDXzLRSC z6Nj&IR^ViT9K?uc#wrrQL4zE#)k@~mBF-n-t3({1Yhdus0m5`|jJD{I^fjc@xJyKo zL=CisVq#ejUS7OuVM)C&F%b-NNi!*#;R;Iu&s_(gmEq?X>jC7Pv$HB ztqdO=hR=^bL4NR_9zxVoqX;%nQutH^9Y5a}MSk+@Xj6@0lRG<)TuscI!e-9qnOJ0E zX1g&xQI`V7hCPXC#~)>{XNHRcZAQGsZIJq@=m`_-DV}CWm*40>Zk!?EKIfn;S!rO? z+~RHzRUjY}w`*%n8-hmuQLHU+>^@Mfm(N2{;%R2jVX*$X$bqyNSY*38WuhuObzf1K zKKJu{k?E4t^5GzXze=iLCh^GYn$~QoUEeIcvF$)-{3eVAmt4(qyAP%FB1YOM-q15F8SqzyLOhtg{%7{w@E03{= z`Dg4lb2=T|vsfaSwrS9|rP3-)lK{@LKZbjZykg!ouHbTuI$C9wy8Ql@s~^3>jL)eu zX?<~*C13#0pX+a~$*{<7U1xKdEkCbiID3kPwvwS71m^iwfAYU}EO;q}6}R0&QP*3=%~`os#s4&or`RV1J# zSy@md6bO6nvOMM$cTvHez_=_J^IQ=8PLE~SvLAVt>cXs1{iVHWoc;($X?vRQ(cqes z8neLNlyjT?G^(7Vnaz@2VSZRMaz85|ebm$ktiy||Pss~viI;?l4Lg=X3KNwnU~;7= zBz0j|?y`NK8vBRWtbs0&r`WzIt~u^N?QCEynh}(->@Y+4qs4&*R`cNpt&}O+)GHZU zB3tP?AQn>PQv1@VM-LH>^$Fbm6kmx_&g=sHQ%)(}h5+J_A8v&Z?KM9M2%Q09VxbH? z;>+}5q~ui~l_I;ZcG8Z1|8@rPBH3PRc5sZ$l|S}y$Y7LuFopzb_9}SLSQKg$qkAKU()+FnaAD@F9(XrpA-aa&d^(V~jMV3B>cwEt@LMul=GbICI&& z{)w-A+%0ted(vs3=830k@OF`h51owC@eEmONgM*LifM}WC&`7LOcj5YPbU*U(8Aw| zc!7FRn|k&e49CEg)aAbVT^0M)Jqa=7E4mNuY&udp5l-$QoD$vv0&G;m4Sr^zE4JnZ z6zk{yV86CvC&QCtcoqY-4#c1AO_&(|3(oViV@+ip+!VR%CThSCRFnuX3R)-Y>qHBf zKh69|{@k)W&o$IKTfrXuMP%S~lMr71996qvu{jP3%{kNr-_@3O)b-FguxZIfb8*^T zSH(b{h-#MyuGnQ5)EYyK6o=6-$fswUIiPG1#+Cicz9K1F4pJ}9wjv&Bt z0lrr{=M%!C2HVVNkLJHjthI%+GEQl!<;Cmi9-D_W2(=_wXSjJEHQ)zU#(f=+Z`pmL z&SLRnyQD|vQoAhEuY3QQQ>O7p?|*M;X2L6|yFV$KW{wK3mob$_zFHaLahy#v=WssZ z+OWFRY;q@C`Y92^DLtte{~G|ik!4N4CgY=dTWBDBd+2Rod7Lj6F^-r)%BH0k~4|$Q?b$Z4qN8!HIN@qK|$C}FU?E{S@E;KL3aRx z{0$=&&XFLjr;#`j2r6wUoHMKCx>h@ zMVPbC(IlQsG(&mQ=z31LNyfnRP&~d9PJ;?k!?z@mqN}CJ0*29mV(JyiO5p2wYF#ll zpGa@$F}HH->mjLcK*$)EcC|+J_zI*5K*DqUpp*H90#l!k@r4G;{gATh9d?XphyoR}R-zTUFC>`h+(-Y*`fF zzG7t44)Ns%&zwDpD?L0o(=ur5?;Cmnx0B97w|1ZO*M^9zVjX02iMes95TSW>HQb-6 zW!fPQpE0A(8W)WVbT@+mCJhV%HjNd)BF-y`UtAa0R@=fv5z1iTomy1^XdsZE&=z8# zgY0}f7?G6)7Pf_@fwcRH;yKiJhC5SREm$R1MeXUe97wfy0V9%CFL`-#%Nvl+x7LUq zO(hT)4#c+$Npe2wN~M($P(uy7F@c;{RzeT<6HQt3ojMw=tu4wL!Bq~JL@AMVYx%-f zohn^=-ZjV+3I34ZrJSh>hM%q1xg=#RhOE^I=5tI36x-BLZx`i*&zOEFFfUi_4&$7W zDt9ns=<9mPYn|?2;Ect(dX^hRDzfy(|Kj?Ua&qudUGawA_fy=V1|=zUnRe22^RF@f z5ly1F&fyvzsX;$Eeo8U^tfHGK2_gJw))1yK-Nwj&tBba*aQ7z5)S!NoNT1>NV=xp? zhccodB@3z=^BPA=PPTSQ+W#Pmi<(r-n^pg@&OM*4ITXs$k(J&MltUxux;w5Dp~D*y z;6!gU4uGwsUS3l=x zz@Y$m4f*-!=@S4@)~Gudr9~?V69R{#&74KKu6lk$Y7M;vmjI)H*C|&0SdcrO)US-dXJ22q)46T{RKZh zigsBcaAYGUcq>H#ZbS6q=-1KAe0G#L8n${K$23?@!BU1t1lKQz1spF@KWvMYQ&`&I z`8K!5N!}f~F800I<#)@d^8ZLW$MCq?whK3QV<(MmJ85j&HX2SFJB_W0Z5xekO{}J| zZGH2+-~aiwk3IKw?`y4fF0g8>pvR-)hPi2*!l42V5B_RprrKLgE8Ppf#9y8YU$gFZ z|84bku{H&~XdzLjpF%e)ddGFqz#GfIQ1(dF-vi92>*1%J8}?I()*z1-dE-*5^Ga3v zbA3WFImgXuIYfOSg2tYAgw+CkF{vmmM=BeEyqD+zIXnJVG$(|Vf%~r{_UI^Fh#ih* zuWt$#EFF^_SksmlekqJBKnt_Xg|B{gZy?pJeyAVqAfE`RF%yl90l5F#%mFMC=m-i# zu$j^X9=5w+HUhLvNwub;H0Jv0f}2y7Dw+2iKbnV1|0#E94{5og9oqAEeP3DGUQuF$ z5wOTmpd68*%w(Miwj4BvdCuBTO$;HMEu(7blnoK(fw(&?!(ED}=fNkmByC*P{aC~j zn{Ri3oyiy#e+VoR-0WC&;J@AXZswZVeqS4E@A6S|GlT0C@9{q&7tO@$st1e(R)@O= z`~Iz>69O{LBu{Eesc&6X8JL0887!aASMvxwC^JH)rib+$(^yt%@hHP$WCkk2$B`TL z2L$*3DdRj>{#SS?ox~2D=4(sTrq)ul`+YEDNocIh17YSY$I{ZjvPW{t_SZwN!hNO! z%76YbdjrDL#DGPS$$X^zvVo5g7H>4si_rWYD?%AnrVY1T38`}MLp$W^K+lNPU@wE- zB8=YO$A>5)wA`+L^NWY&4j{z!q=Rb(^YbN-NTu0_ioW@###J~oV6l22IuR&L(eq8P zPFadjPN_pNVYP$0n8+8Fb+uWe+D`!%d_c#a_fQ6#b4^@gRBYd`5k{ zY-OA(zKK&EEXRtUMD)|X7|GK?nziN5AqJqD&lh7O?R$pdbKw`pH`AtI(*6rqo+9h8 zwnvV=Nb$Q`1(?fzbBfcNwMj7_Viw3Jz09YH9gQWtQtXSxs4LlZCQT+idOket2Q)3xqm&870-r+2Im+}dABu);QR zWaS>=zAHTd(}X&DdP)f+6eW)?%6uH>5F$)B%~gX#>QSp8$YGq=H^XCvct7-$c=$5@ z3XPCOOA+7M-o6XXemS_+jIxboxN+QcK=#-))otV zkz`hF5w=o{&0{B&oj|i!lPIo@+*?WHIpvWx@l|C+&t3bOY4&D&h|_V@Kvx?>5a}AG zz_AC*-^^jv)Z@v*a7#6nA9m{QqK?lf7MCOW{C$FFme zroN;R>7+xANy#<=)9aGZ4$67pZpOl--Z*+J`e;Vh_{|1ahjQ-i{q^W&@qZ=KOsb~o z>el!qkFe{Mx{}1$GFX+R;!UVstP#`gcV+1It{B<12tgfq=4~dv0A`edg zp`xPeU>1Wlg~q-_9ODZFtm_vOxA8D71YL01^mkm+kX-{kWJM|Ff<8QY;leMWPdlWl zirU5mFuawzWa|_jgcTwow-p;=-{*4Q^@!eUdb${A zc5oo8L4Rf@hh6zwpZSky?uQ>vGlD?dpQbrjpk!IIt9f9&vssQg8P(+cI2{za%d$SSr zI$fLlzmklgqKa=A){@#ZtnUusZ-To}>gM10q@@h)(>tgyYAC`E%eh{)B26QtI~HNN`u#oo+I_8(TGKNR1p$ z?z^61_ICWBhX0&USA2`VbmTldIsxQ^A$$TA3tNPWYne2JCy*_uTDcPaK7Yw|ySMFW z{lz|nAVwGdAiW7s#eAt7Ye1a@V%?5f9oS-5+?PhehgCC~eihdDwpIZ1bm?T z(9V7mA^R^b5tKX>4Gw6?w^)zwR#8bP!_XDnRsMFbp=?p-X{66g^^U|GH-w4cvbj7m zF-IbUDXILn<7o@VSl}O&mx!MhFDOZ{#?xlUUIjo6N?xQ*`D&Eesq?s~;`(U2qXcAa zpp;GZPYJs&LzW`B2e>zGLd` zIqQOOy{nd~(iDNVUaq=EhSH@3#xU-D(I9Y)C_6=1faTev=@+C;;( z{kL2_u?o%VJNgpCWy+!Cww6U8Tgx0wfMWj>-Kb^k%GTVDc+7XQEPcZ8rb~un2$u7a z-+$cZOzZ}!5|Sbr(CG0>xQl;XlyOg~;Tg`Mdaj$&J$6Rrm2_HKe4!GXBh97rA-MnC z+XL8QoN3ElYDP$uW@MJXVg>@?zv5?X$knVGCEBuJ5YV=!>}!NAWZ*>%pO~hqTJ=SlU(^`7Z3EbE5*?z1(3OWjn#`8Q;d{ ztvEc3^wZ}$Dw~h+SJ7AMvzt^l(0k`@K8JAEcO3WHsEPFRM4Xf|>_9OyJjl99J_(yo?5O;rnR7Y(2aJBKdxr8;DXq0k# z@uhMUkKe&4Ll4oS!<57tDtr-ghN3H$nZ%o_EiR13&T&Cd)+VR2_CcjF7|8rC)flo` zvg9rDbl6PPX4p{B%~4|=LOJN`tJZ`t8PNfbn12LFIC?iTQ2xAyZ63#FD}5Tw3M;ZE zjp%Kk4ajrE?AHKSV$X|4{|u#DIMnk8Qo^d2BSlaP1qFe#`y69@%J{!8C1G!;W8($s z*grv2f)H)giuRv498`aBP4pr(ErVtvlXL7oEEa%^50OaEu#KTG#fHk*Uy-MfPA-Rfx9; z7ZLm2@aa}wc!dj6@Jk&dlKE>g&d%>soR$gZb=s;^RMG2vCO1Ne$PaM$ujQKipxXHT zy~lqbR!)n2vBb8nuAvL)2TV}EU8#AYZ7X_UGhE+kO|o30rg|5(=!v$6w5p4xi1f;q zG%qmf>sOu3n^JstbxGXZ|LvI*=iQIXI3x>YY)7hbU(zTr^b;H`q@Fw&n<5y;;Ia4R zHZN$7+VJ9+Y98kFjw9cgDarwzSkj(bJ+A|JkOuwk4 zk<{}wdRawzZ1N+eTG@=Se=!o;!xEG?S&nFIj52VvFKHuBgRMGu+SFtCrh{5IS2&?J z1{OH3!E+a_o_WGa_vHN@s{b-CXCxKu&gax1W)YmF{RIGop-H_VuKYdfPjmJi8$LU$ zE*b!7f|hU~Q+^zUE3f;PETZ8)cW5e0J9JEt=xSH*;g4KacWNUM7tH8L? z%sjAhCB=HmxESO*IVsSFTeir5FxxZ&R;l14hvBI6x+=-P&?)aZp`R1j|CKky42yU9 zhAw#evYIi$BLZr)GS1Sg4%U#B^HCF*5CBxxD9!)Vp1)!9y zlp_mnq#82}{5s?^eQCNUQg9-yt#UYS0~!vN+)Nj+A`6f36kI|=LITD&fdok+2#vtF z8L%)!b^hXpsqVw%o2O_2@ZPeuAN_h|-ceo$2iF2k$)% zom2G2Y?At0fpmEo8IwHACp)QzJrd!HjVoLb*wJ{5o33(u_Xp~VfhI&jw4hLOm41O* zbP;MW@ur-7&fL{%*XdmrN*Q#dl()|J;pfj}$ zaKyjoXF zfm>p+>A}k_o`isR=zxqL6w_IwziJYR*lF_{;BU2MH_+-#Tdc&;IigsouN|ukoXHiLS86}7OYG*skb-I zTH^t02R7D!1xXbhn;J&fm|whW)t1Kp2vDRyLYVu*Pneu%+)f_arUe|@O6(=sb@nQB z;E26R%_ohepQ`fDaFDm$ZSQMPe2w?6ZtR?}xB=ym?u^kj(v-Vfcln(Z>}$({RXkKS z%X@~Tgej7##-_6M&Eul#bi0CTeWmQIjKHr;$c;8d#^CGgTIicvd)z&b7jo>x;@uD93Zf=J+rMXDlt<*o3Ft^}7JAJB?VtRnbDMd{$_!rd}nh?6VGoD#($ zX+dmud*Jvr*ykaleMswJJV%9S$IU)bNB2Gp6Fxh-Q;lPp+K^QOBXaZE z@~zKm^@!|n&SKhcO<+Pf9R=z|O4aV&ay-Ra7Ra{)?>Cgm&TP-T5XMz%%z=HJIoak= z$8MX#1a|@0^IfpG;}CXhARngk3*@wu`CY|8Atltne@Og{U@V^~m!xJ%>Q2p9Vnnt9!gTT01m=ZVcIBd<{#wa5->5fu$f{hL!UAxKRZ`b z9$$>eq}_a!rTy)Z-mnfHz-rx^Q%9)B1{Rk4Zw81KZ2j)SFKH#8x(3h1l9+n1qI&lz z?xzC-;!6Q-JYM;DL@`Y_@r$^cmH+h&w8N`PL=l;jP7S_lXuf`YWeF$4hM%j5NRy_Y`IdRuF~p{NH;uo@D_)pUpl z;oG=IVDxw5v?`M5t)B_yu@+XrKkyi`obpC)Q?WB|-$g#+2TFjpI z7Bl+;W)n~2=$~Y?rdaZ9V^(sf-QEgs*5hxUp9xb|IP^qD7Th0sFNSwuZtLYnyIyqO zGgzN$tq@}o@B3a|Y5yl$qYB}x<3+G#L+Osw&*@J+Xt#g=*?%~uE_vICVEcEf6X-p7 zSUe=$0JQb6tHLvf-az|%t*bQMV7OC;V{_C1xZkUnDxgFzmP8y^;I`PrD7XM~`P<9H z2MH|(m|8l<3d6274p- z8g^=Zu{D$ZI~S?qnJs(bXgprvke1O2t$kR;q*i>Bv7wapeY!B)98`zSiJX`D=$h_6 z1_g-jcq#Yf)11i)a;32pf0SAG0%|PWgmFMv(<9JxyWzFSmp=E=CUI)iRU-}~I8}3% zr=mzeI@;#Yw+XrM&|om*!s_&)b$vmVn;((DdO;XqtoC%EM!|pf(6yd$(RMkemNR*~ ztOS0*#$>C1iaE#E7Q-#1r`sruKdXpOvf!d)zY5E8MiKn>eIe0ZTwTqM$Te2TBF@>2?IA0PWAo@QbmvU1+x-elZFZX zkrlBZw0kWdIU@I3E6S@|aC^<_s$@LOkVWA*Ywdv2l_XRh4ofBrC4b5^@j*F|$2sEQ z?OWf>rfJnVrATJ}d9GdLNX#2n?%)sfC7!|(7c(2_=QdW`@TS`T5 zPk1Df-^AyE@D6z}SfVye!`?HJh=aX3%PCUWx{cj?^AR!AQr7ymPSz+pvi3Blho7CF zag~bqSJ5BfZAuzr1c;hsyIPk2@9B%IuEZTQPJN{ktafYlo0aV=&2*UP#HiTI9z_QDb>R{ekz7kcCWFvj*6=L_e&qEY>efzq zsB&URQuwUBqC=_v>gXhYX)KZ#tgop($<;)Xah>ulbiz+37~<5ur@kxs+5o}XV! zH`VYgLQx2H{J82qmX%toei%!mn2d`o`i9@5nsP2)I^5V(~ zmrG>13-y{5vSVz!^365dEt!651R%wbwTWPVyT)$6Zz$-#Q!j-=A9^mUwwhc1v3Ga7 z^w9Vpz!NSZ`L0t;Cbu!?y2vDob0=n_I>q5j4Oi_YgOTeJ@Pj}ffEgj6Fg+^~SFbh; zc+C+|Du%YU!$xRc0&h>!J#3GEvj|Hxe@mKrD*xxT1>`@*4iK$;>ZF7hu$-Ct$ zG|)YeX{;)`qLA52w!}8YIqV1Y@KNl0J*F(IqniSU$@sZh#f3+sdJ4}OHAZ##1rdqX zBUJPaRGlC#xa`Is#yTmC zbSBJ0w#K2MrwrJd_P%=lnP7-wA+A`0+zgEf`_^nv2NlOBIzU*kH&v zujo;^F$rh$xs%!ZkhaVUQAoMynX{eo3j-Cn7{^Xny8;(oeReb>JtT$OTG+mn^7o+x zNv+j>a}{JsQ5dAmtpUd!inf3;p*NM}k_E+w-sw+<|JncF+J%8K8=Ibv3o0pvt0iR& zWRb%L>0PJhVgIVVS|}E!#=Q(~aAkU84mEfQwLJY)Rm!+@K>5hg~7s#t;i=3=D_3U16BptdmD zlVEda5)-F4YE$e)=Z4I`$6Y;nZxq%QmRqU__ZN5xmp zdh2&LO8v)MAJ3aZ8^0;jS_E(v#Oir3nSIQYaEbj+{_EylixNUlyp6KcS^7mKZNvWe3=mpV#-)Jxq z*U>my`;s!i>$q!13E|yBo^-yp+E-&Se;A=xvKs91_#4@m$p4v-Tv9S2`iY5XYw!ZU9TdSF~%62doGPrjV<_T%M z!IKep;*;gXp5dd`TY@{Ye>)(Fny+vnjoA8X2jF+B^H9mr{bB3vpQx)ycwHce_>gYs zJ6oW5i(4sR^KIUwmr0rnIh`=jW2pDgtgKs$+A!n(Hz8dMcG{}ju^m>goIIt>1-kMdQZSl>dktE$7uv1i zf&7pr^UVf-?E8Sbvt|7qte2Pn^SJdWo$#~8jg~RMn@=z}hAr!nXC<8|FHVpl-(+66 z;c}nCaHT|qH^U7DEN*0LYl1GEbeARtpNbIj5t_oX=cq(L#PekE2< z3k#WJjRI#9D&f_Pg59ptq3Z*=A6S|7I_!`WwaViX%H@YW8h%v z{$0jEW#>UgECjH1m^h$0;fxX04OX=MS8-aF7k`uy!o@h@`tv8;sdp1cUfW-~TXjsU z;$$$TDI8p+rr-K=HtdRG7HWy!>)qM$6&10SBMx2mED;zk6% za>ykfU z9(|)2a7I7h9wt`?`Z^cHvzDU73laJ?!Q#wJ4@T}q@T75@j`%dInJiSHv;yU9vITi=gZ69Y2$P)_fWX7CHq#Ux#!j4aQ9NtNvBF=SHI&uxoe* zisaXejAtDI`?Zk@P*x!I;479~uO2V(CgUxm+-d6f9K{iH0-fs8`IKV9(n6Q6b|v0f zOz^Gs(#L(@3QlO*HFdYDxxV68!8vocIdh>0hn0zjRFkp?ZnL&us9b9|>Bg8Td=CT+ z5W`;^ly=aZ9q{20`-Q71WDM%#43NQY*_#kH(_M5(1Lu|+hExc<*UNuy|8nMr6rv;S zC{tEp1O($L4kZvDIrE{Rq~J1gljUrC;;bSr=X*4RJaDI3ZJG_w=;F`x5(c+yTP_$` z*_VDR>}ZL9ixRX)&ebcuMpJyItw=0OY2d@Nt!wI8@`7Dqoz3o{K%7KL5&cV@o%s@m zP5;Yd0vIEl5-$S=ia9v4sZA1}J+un2NIkn9D0pA$?{#$_aOVDProrm4&28y8pFW&U ziYUwrvD>xT6(;}t2s04Q-B{bP-^<9$&s-&2Ew)7DZ$%mXVrD5#oHZM89V6@Z;sIS3 zn?}wg;*Ng+{}IOwRwVu2n`ji5oAkn~C%=qUz^vKuxKYh_c#dB6StMddbKW+-wE#HQ z7oSs2mx`?IbR{56u6CeD3HsH6uV;^qkVNupUPV_^B$C5ew! zZ{iCYOzGLBfhB_y6l9br`-Ax}lN+Vc&_;0%k_AK=JUtUQWM_8m8G zqM3L7cHSn+i=W`DmcuRr0eWYcYeMy_>Sx~X`4O5*O~E_GU{=jk6-6IxaIF29QsUAMLEda^k*m{(oA>je^`*t-E5W%-^%D zX#%o?V|>r%qe$SaMNCC@d!LKyx!f%k!@*<13jN&gSW@_Sda~w<_IynbDx&xI1`Odk zW)?I8w+Su8?B8Z}&3>1Ym_~4rL~y85yl@rmi-u-Rc&~GF%}@sbngda-UD|I5Dq;`p zlHzu_M^s1tIk%o-`rx*=Yuaz3VQ@Th!dWnNpR{*}d3(rL3@kq-oR=aGNuM3hWgJ$S>Azw&$}r z-sqzT%iUWINLi6@K9|Gb17JPzG-%fP0}kC?$a?$wAjCTV>Nq;a{(Z9F70Wf$toVCn zo&&o9`0fX4dHaQ{Q{5~9dJ@fEt2z?Ti3s z<>aX>Bls18kU~f`1PGj~l_G5aX&WoyDO;sT zOGm(`n{eSUrKzZs>tXPDQUs5W>j-+%|F$itKw;MutG|k_Jj$d;rJPfHe$z$s+vM(G z;lD2nRC15|OsDBFi;@~!z@5XNxWW6;Kj~!t80Xubs%h39fuJ<2)aeD5pWGIZKMx!G zdTVxkkL60!r~lUbd3l#Ig|nC0+{to zlIly)WkSp~ElQH$W0f%%T4}8JaGmMmVB=VvpfkOyd%D~@Ji9C(1`~Z?li0h3#vHNz zIoInJwxQmv-V7=qhDNKj`+TG9GWGy$1$ML}JLSr&Af0=+zMuD)s+Hpg3F+o=fJu&p zW&84;IifP|8hWis8i%8fxR0&<{iKEK!c*n0ktI`wdB$<|s~c#_>4aS&)IvkivD}h}_rM5hk=dcV*pV-_MVYg3AjgE3~<|Vg+X(Wm(HotnViLHxnp4NJgTHYQOlDU&b(eyyC(Hk26wW)n4!?Luzn>H$D0*c z{VIr$!0qeMajoum)Xl>*C{-$u-Q1)5a5%}2BgKk;n6X;1n6H8Sa|)-h+qz5Cl$)wB zil?#<&1MvAU$)fp@HX8pOQb*WcWb0nj11mp^+0#poOG)ecui;L@vHs!`X%0;5XD&g zN;jcLaEefJoWn*cg6v+4m0R z@s07`Q6T~@3r0rVIjK(Hh!!+8DX7g&6+~mwZ>@`s0nSK)KWBG#^2hHRgaRuflP_TF zSorz>SXM1zcc^TJjjK}9I?2=7^c)k3Jm{q;Rfrl&TwAB1Cd#-jRB`NX>?u+X8?Mb) zPRtfczX9{D+ik>G_iv~@s3XHQYjiTojF(*A$J6Ba609Nvt1(&CJ&p zZ#t#LGnte7m|>Hmo~aFawV6VR_ha0o@WCjiv=WRu2CfnxCq!4<6hO+ z%$yy_y--VE>^q$!o!*fzWO?nYd3!4JPR1a%uyBHW_&m_i33Fn3fchyUsn8;33R^#B z?aLpjCMQ9CSFElb!^#SK+*6<`~sqQ?KJ%w=i@l20=gwn+V*^4M_dr10(6 zBca3DG;-I3%Vrsu>bTuZUaQH-;fuhC0JL~h3t(^^AS3!Kc#cxyQxTTw<5uUcC7eNs6W{dBX;ChS*4bX6Z_eIcDyxQ23e&I}W3cJp!CPLbxkG1Mj}r)yxs zzJ;_au&1f+0@%DG`nXMY=7=Bx55zq5#qN3_*>OxFrmt=<`@!2grGYeCPp_`pVJ3luv+q>1SDM8m{Eu*Q>S@Ih^!J;a;Q7B z;sRGX_DW|AV@z*0-p4Ey4|ymYB;q7>Fu55xQqL?$kD|l2=4lUG=0lLHHNSVUc1kHW`S8$FY zO&qE0O8LZF@GgvkyfJmlY9E;jgGg>xED(}X^dB+A zvGx%vV#h+Y9|Xj4ittew8oVkbOu_*E^wPrSqGk#Z-Dx|t9Vp^-;788RP}$*C;_KC* zl(icL=CrPwcf$&u+WKy*-RMx(xvq*v`M-)nJi;JjCpC8w=F3A-_5%&m~@60ZU{;kxR* z9t6cjMYptqcFLWZiU-^&xvW#@euk4gm0z}Y&P1{v+BvCEQtalaY&YiF5il#HBrNTl zW?bDMca@|`=R_{uO(lOep_P)-e0CAIZPu z6wzFfIA>QH8d#yrVzpLl{64rteh>vbGTY3I@!;=&M9(?H(Thn5ew)KI(>>hh1N3Om3&0p!B;^D!OsU?V=9hSu&vG%&y3z8QhfT@51Fq#T=eDkeA5i&!I^6R;| zArYp)A691tUO(kLh?xxMk#E4(X;WxB_37F+A*BdtV9rY3Z1}&_!piC8?za%>wH>fxv|& z=tQ$9_>inwj=>D2bC*$~P(J5g0VINml>1Gzipk#w%?^j$D?wCY(`}+gXxg&e0` z<`jy&9shZ}d_Fw%lQfaSZSLC`O^Od2n0-C>(!CllQ=MKp8U z|8b*_(e3hOYn$~PD44^4sP+vux9+nx7U~Asa*&OIn2lena}ZHcX@dQ4I~ z+xaK{H8l3|ok@y|GxJ7wIZqJZZ;v_><(oM;m}_wI5R7umvF80c`iLBo)Q|twsY25o zH9s6AH@Uc$rd$e6O`>BW^ke;fp5L?1F*o0T=o$oB{w2Jb;a!0ms0lW(adP>Ln#Z8$ zWwIY=Gs~&8$#)AKH)GMkX2br_#Obk`v9E1%SZpY*Z+dy=Q|sIs8=>@&fK%Ut>_BV2xZUH{QcU#`9G z`V%H{F-o#&ME?+FAUz7cw`l~#UG3SR91l>ZTz9>Arso)^C% zZ72Vo;CYRB!iRCwz*fRfEt4Xbwye)cI4?0vm#Z}=)vEElL@Oe?I~dF?@cD{v@fIN9g?Tf5h7+m{Kq-xf{_LVpQ& zl=mX^s%3F^X)$6=Ii?0k7%Uu9LYYRaLpZ9nuo0ejjyqCVW5L!MuJI|J3|Mdk@Odxm zC}O^Huybfz43t&brA>`t$?P9Cq6SWDhJA2cuFU`)ETRms)0H+Zo}dlP;K^d6T+sSe zjsT+S4Ltusgky`sQc(=)q;HAPHoSk_2luD1Dl@{{mr=rOKi`7O$49Igy3NGGbb({) z-PJni{A;=dSBJU=DeBc<{;eZ1pnD}1l+sh_oL}YOK+P`z(Cf@_***0u(KvNufzss` z?&zi8edxJu)U+3iia1IUDL=C!y}}#WiTcn?K6KvY#kxn1PqDkVK%c45#x57s_^k=H zL_A6#xG~K1=zj*(7Od`DA$UtnDc~+`+a@Va3vE9wbOeLBv0bE=N;xZXs_Fz|KkioF zdT;-T@Pe2bRPG_L@M&L`$u$&zRfCg$cQGXRu?i|$#Y2NBp1+f$ViGtwny0=@3aaK+ zE=l}zE39(O0~xJbVHdj-)NPa_JIr!4qd?c}a`U+MJ0wBAw_jRt^1UBx%{C4xFxRgJ zVrav-LZoI8^nWKTPA#ryXjgE0(!)=&V$MckFe}jT;RktK)A-rY^9bs}8kJ)I=Bl5TGu{pCO`+zmwc?V^U zov}yK4gTCQ?LAqAQldpI@9--a;r%oW`S%_n{Y$H$&+Zo=6vzjB9>Qlb!Y>4+ z=SPr=E-jT+Xs8mYtVdkcqjyuBZU?5POro^_?4*byRb2~9{vrPSjEn)l9+7ON4ilac ziLX)5d<381|2f=Q+(=>E1_eYs89HC+IYnSBX8!kQUMliVC*{j?>?| zEz%OQ)B^~&wCmV%lvxS;LPtGTzobDNK{xI}|AmTCtFNF~a%#Rc-Tjd#=tdYyf5^&& z)Hu{pYDk4K3a`2KC3!_*wZPg-Okt9SbCtf;*0NPRPN9FQ_FK`~E4Y>E2yfI>2(Xwj zZ7{=n+Gi>rrs`GNuN*O!sPT{U&~`y#SHy`^?`OSyK ztLaei{r;5~-kv{nc%1A$ErR^cpG~IhlS>Fcl3oflS>z_b;)_-Ux*)i&01KP9hTq%m zmDeHhxsp1J65=0>$ixF9zF(DpFsb_xahp*3HdJj-74Q`p=p6$ zFuJlbzMZ(chSsNQo~39nvFcmG^cjN1!H-j_XsO!|SEvVZi~VAPCx%d$hI7&EM~1G+EzpPkfqBy2gm#x!awT#0ds-a%hcY1_k~G_V|#Nm zMGf3BGU#LrKk0s?TqL`806|{S{Nt=fQ!b*8!uaO9#3ZNXB?!+UV2u=t5FuDDn_42& zFXG@n?E5wyUIaEopWZL0okPTHix!~%L$U@q`a7PP>}iK2`L!hm?~$Rxss zVT#ct$790z8xI~km7kBu*h3XoXvwNdFhd2q=hE?-yhi&p!zK*p=2Ojh)0fz&0)$33ob6+|sDe85YlFXxDr{Jn&- z3<<^49x+hxRotroPA^69$6siZdu{fX>Ur^EvE$Ju+c!EYgf_Uem}Onp#=%Kzr?=2oZ==?)@EcCg%vX(lB%EeW6jHLH02 zF)GHglm9H%f`g#^hnfwSzd6uQ+ijQ4RAZI z$Ga0aW>9h(3|pi>oXMjDJi=aUiI!fUMRYoy;roK2Fj8SWB3mJs3=&+l78jzuts^!@ z0Rl;lJ5#`Rbgizln>t5-w@y;?f!8cRuvnACH#D&$1uQ9~@?S)Gc}2liOtD^j_P!uhR3NOw68(ln0?W3+3F7^>Wsk6>pak4LfMt zc@+k_)}>M%L|EhL`A~g?O7Uf`@gs%*VX+x%`Q<#^`I&D|woB!f9hY*r*-%QKBsDv_YIJW!x zFSpg#RpxIxCFk)RcOHhT_nI_wk*UC16U-$xGviS={ua*+>AAY<;HWx8rc|$B>5Hc( z3_g^T3VJ#ODVjD5)o4V|$c}&3#k8LoDQr37l79u~6S@%OU8J_gVK6q1(!Upy}^+Sbn>Ub|N4z5`g&lN;OyFF`MK1x6v_pNO~u z-(BRG@V)6OT?v?8Ko2Tvt4~=mDogk4HoPi{{x#EV636#mFlU+hS5iZz#TIp^vRZt~ zZs~sGs4L%fRJbQs>0gcSEVBv8Kvl0sp!`lt1YQbLqq4_in@k9Vk#0GAZFGi2Clnh3?p`2P%pTBJ9Sjo&^ zRy-ehqv`eao_k!RV`4DRbrH`)$!Eo2p~xsL!UP*qM%67dwDoP@26mi({ydc2*xWqs zw^^*~_yc$Puk&3H8~q&6skRnKHmTtLrFV|5s`*6DOv5zaZnz9tH&tsK(`+%k-~^RC za4t3G>yIp}Phg+rG)*gfBHIvLeih0oUWFib52@gSoz-3YkpQ~g;Uv$QQ*8WL4mIk% zVZLKpeY}2Z%`B!{PJ6Yux1zo^J$E}3ZOgHW0WE0JxBp4YLqiOoaid5KZaPF_zD!$XwfQ?NOnNn~+K#!WWBBX>GPr0*cDCa!@Fx z&Gnqj4j}>6>|D?HE9Gw_l>sl~{uti@4N$d03Wt?km_+MhF9~C1*8Lpx5T(`xe6v|U zh;_#(hyU!QM{XDW{~Mbh^)g|CdwccCX?lUjFw`nKgC;8T6H;FevGOz6*7~4Iq;$yC zkoNdgr4#M{NV>-GI2)!LXTyzc+qP{sN#iuO8rx3VG*;8tR%17|ZCe|C`@G-&+JAdp zd*3s2=A1J#bAh(kE`Y?)7L=%wfbQ>_%*}{$58-xSmT)uH3hKKITNf1uimX##yo63i zMVoT5hOMOOd7y(>%g)Y3HWSY$bzt~$Zh^p`tCT!9tJ})4S+`VNTb+IL%O(;0eKL;0 zxhN^q08_;S#z>nX)yA?mgubO~8nJjAbJM=-ZE`X#g$rySl(o3PQp3Xq#AuM)aon7Y zxPlD!OqPcvv`KuiMp|r^f=2=oVmJeGm5!Cw-^CRV6ep6&!|3chp6}bvQEc2Wc(hgl zJW7<^zedK=G_@ys8K7${t8f5|*0>p5Suxd78+kxQAGq)@G3}oOD9Fy7Ny3>vizxm2 z=8+fw9WXauVk)Gg3Ta0~thL+@g;p8_CD7}WLvAii7mh4-ynQ_ELAQor-P-qWPl?<0 zKe%)XaSnbt6{;*^5l6$sw}B6NoiDYjl2H9Nbg&`+T6HBnfwq+*_TFL82t3aF@Qw))Esn_F40IU=4UmB-nWt1f-r4^?UHG~`EZ7IKLXlP zGst|^9t|TW39rf|Uql@=yT%-Z_>0yY2F7e8q*bz8Q&VWYLudH~iRL*~_k{CQJYzfu zkR^khID%K7eubmNTu|%>0+-l`g(Q9Wh&~R9vUsexKPy4EnIjaBqwS>YOhxTK{+}ss z9~a2~fzlhb6$d^?B8046AkVQr@XRi*%aKFARZAFLu?7=-I$h3hrAupW_ zX8zTKzwJqVL43&(k=kzGnxLIZA{I!UpGm_xD~L09K9bh%Dcy~LrLWHXKk+Xl>90=L)d8` zb!#hmflEei5pes5NefjIr0!Eke#@z+>PHwG=xY8AkQLCSXd&I1ytBt) zp?$1nSJiXCu+zw-&!N5UPi(nM-qW-7&9Q_oD^Wm zQUrGS6PKD1?)IMCh#A$Eul*8m#nbz$L7aFv zsB-4SW_o-SBhLF%A5|Sbcw?fRp{GfS@H7N_WI2dCU6o$4nV*sC2WpLa>b96ix*~ni zaWzEaP4)Nugvy}J$kXU!aH{k$u@{5_4-quoYy3OWdU_p2AIpqJtv;R?FO^e1B2jAN zLh(jS@4-|0(Mr7xf%!2PkHX_vi^$l3dn^tW5{+0^Oz{(Cjp6R(bwSaHtV+9069io| zEw?8*!rwhiC6_)XPs4hz8HfrK**xjOVNm~&bJ(_V#@-)a!#;VePG)^QRiO{#()VQk zHpH9(d#-~IEvzu|k9q#P_@fRgR|C?TMI}XLxu3kC2;aU$=->+3plftvv$i>{ z0%Jk#IjT~2*TXg=><}a>Tb@AFD;u6Ty5@9|Rz%RDGangzNCC1vaO10e1knl~H=|V+ zLK6{*l2k)(0;1JwNVoP5A^i3kaXE1`r9W1;$1fA$CFAZgFHexf*}jB?%TF^~z`by? zRrS>&rS`L{f&pq1qPl2@@Vta?fLd472KvMvB9UcRM+cIgx8DFrZ!M+`t!Z)ZrZf_k zy@3>|^bVp#bE!cGccBDjAG6eHJz2g`1M`baQ(a$f$_oO%V+rDoBw)mg@TZ9m(sc8^ zP04Hul7yLr9&Ut<=)Xt$o?(cR`nDX7xzEE$wfk~rD9ChGGNtiCr0k5_NM^JzI$UcN zvF*Ii{8dgpC|?97v^2d)r=bTU@al`Cv*7-6V31a9-@htudA{(}N|&C*^|54#3l)D& z!3T|_uwTGd@LtKM+qOl9s}0j*>KF#3nwp$&$@BCws_T~BahG~y^xRz5IoC?C9uQ8zZQd>rG=x;JOA2 zopdwD5NVRZpGW<_Xm6ihJFJR;Nkynk#i-`IIf`XLb5#fWmnP0=V{A zh2(YwdOsf*CSGEHcC|bZD#CMl8tgTPbL?)m01GYrr6zFXx%N5-G9s5c= zz}TinWuyOIx$Bmqc8>+a*5F7oyMsbpE?fR}tsHJZ`-8-pw|N=Gc*N8ANV3s!0Rog+PvHKTP^mA$5(0u^$Gs?Y#NtlLGIC06RyX>4*yoD%s`J z7SANzzqeuQux!3Z!>5KoLJmjhjAA1wA5NJ{UKd89Xh0{ExH076@_fB?%q5~HVXAq(C?{378d8< zZ(wDG(SwCUQ+Ysq@t=P0dfOa^iw0MULetfR`~wkxkUK%cq)P2G3gEv2|5~d7zb3D< zYAmCbbK|J;jWvTVlnMi%!u$#a|6i0br^Cu4JjZs)GoNuWPf)1Xonwm|D-!wS&tN_6 zoe79ZBEx~HL-OYsGFH&#^-Ba5?yil>6@pkIc52Q!9_Iya0;a{#||!p6lNWy`7|o?mI@3>H>KnLp?q z$#@o-Fg$X4H~n)(23ct3&?*Ywhyul&#=(M|3c<9)lTbpXZ04Oh<>uGoyK2AIsSY_O z5usV?XnCj3iU^-Y_}`EcAd6W?F(H*h;OZezX3Ry+H_V!`>4#twCYv@^y6Lfq5XmN~ z#)}fi>NjDZ%hS^s2Ta55pdes=-aW}U_>L@?tY8d$eD(ijV2t!r4;Qt+hvAvw_@b+J z=05Eyf9vmmK%Nkz_=}aTg07RbR&Otz3bXKEdoj^3E*G`IBR8z*6AuA2Q|c-oF{08i z#`#7g0Qxx`cQlemQU&pq2-)+(}P3ALl-uiHU`U z)C5l($I?xgFvZ~yn{2e{+N~=On&1o%R&l-}tMV?6eqsI1*GRuRz7Mzl%(q|v$;Deq zY)x(!25#2u*@uv#uxETZ_&{Lh_p>4;dqzJd3BruIOP*C)vxH)^1?;L04V@rO>y#$E zTLnumc59d;h)aWZ@G;t%p;vL?+~}xh6#8mR?!JwU9F<%SrjH%C990TwLP!MXdY48T zPKGm=dUgz})t^9XlX@3@@qUPHwn?}aPVYAC>`3qpD<5l`sfx7VKVohPq2I!v@!a}p z!pA#zO&7ep7TJW`Y13l=PAF%Hy4-rRv)t6RKr>TUFZ@Z!G2>yq7_|5!D*o6B%ORpH2HY0bH2oLl-CJjBXZi5YqIJ+1+6g=frHW8Q`qv&=*vl_C_j6eQW|M90za%$|w z7K6HY-;+m)5Nj%#aF!JDgNmcjI34eMpU}Ietx0O#r`2+@r!Uz1l^mu&))u6WF%`a9 z8jqEhPb`#5dJ6-4Jt~TYb5w@+Za^T!p^>#t6AFzpc|+t%tl~jQMPdsz4*L~kwgx#O zi(B~dNSTIY=zt9|eN7eH^htt9Eltg%j%gv49xF{--Z-d8?0@x#%WNPrf)}hZ#lMF@xaTU%$wPltxz_S9S!Q`>GUfL^bbI#U zktBE}n-Gv#gyWZ=W?;ldZ-+<_d-1L7rO{mitGgiGUeJ#7G@y%l;vxsP-2Bt*Lvni! z{7#WzGf=4J3eBuQ7!v&Hk~*|qbk)?vz;YcS2ka=Ey#N2}oZiFb)3VIiH=ZdA5Q`TR z%zu}$k7R%U7A0mVoO*~wMQni(O_v{rW2ZnuJ(zZafc>N-X($mNBJ%}*jKjzx%D4$2 zdDlN=Jbw51c?S$nrz2*IV9(mLpB1A!vso6BZv$@40FHgt(MD%4qK7@pAv1iz}Qa*obF?c_35 zUAc#M0!Oc&d<}1=nx$m-w(D}c-gU1A+}E$LeDoYi2ay}2z8V^yJVI;$z9ZCldFBSk zH4`@3S%3ZRq(gAtLIp-!ZxJvNp=*aInM{nZ7$^%+sMkT?`fRuZom0m!&~ z(&T;*hF=SC#Ftdnk-Cui!$z`u4(737WlSwp(3p|RyYmQau;#@U8oTDY=T@t1r3%Bw z0I@R=M?xEHPD!{VJQf&xFbdap_*Zq0Z^=$`N$CBtEc6X<};FAC5QIzd-kSlZrqz~oexmN ze`&ZB&HhbG55_%p!tc2e%67bcIj=&Ce^8rrvsdCs$%TR785ySTSjk!BI>4YC6FC^h zgB2k{K(tdp4)1Wgp|nZIaJJvsTJ_`Xj}K~3H3db0E!yG+Hh!~By6yG&omdBLZ>Gw` z5SBKKjI!HM9-|#W+^-VmJ!)%y`Dgy!25$_eF&hKDe`p~CDtqwWlg1@+IRrLLTxlK3 z*D(v?RIVNSA@|Bgl(ACdp(>^~p1#m>P zB=euaWi%IPM{{tOgyC>v+V#oRUKnS9 zvb-e}b?{EGp{6B>BijCI3T_JX&RCo0@08G2and)!I7W>W{vUQ&h=Wffzv#7lf5Wq* z-sg)OqW3#%$g&9QGPqMHR1T#J^|K%KnM4d{7uYJ#jQ74jj^#sSErz6L+-e}Y;j*2# zrCR|eN9nZ_Ns2+t!w4yEJSLwL->UxjXHHQM!rI>OKZPr%>{|y=><{ z+wY^%mL8O$_6E_;mJ8vwdM@FfuCK43KfQ{A3PnNpbE>N5(~V%3zaJ>-_wmM$-s$sj zI;Se?@wwwJaB`XhrgZM$zz5c9j5@*O_kyrfm%zvq;*$Pn`VTd=?{#3t^foKgjLrVxa z$Ln@!Aeng~1f8NP&&v&4NLCs1SQHACGc#s4r%w^WtP4^#Z?{LJ%K!vI6(%+IBhKIU zt#Qzb4xYH8R<K7 z7`HkD%c|Fq7VZGD(Z+%4X>mSpA@ZeU|=1n?I54gV+bq4k`tmmKg~>a72LbZd;z z)#;^m53^NDz~A3Dw%#{>(5i}jJntonfR0xhtORC1cL!tBSdC9xy9AIU`*%*}N~ZEe zb-Q;LDs;hj23d-Z!^_7ji;lmP5G)=|<#9GRej3t?eGb&3^2^>mx{^XnSl6n3&}Sn_ zT@`tC7ySp)d-64+pf|lN!iL(U;@mOc_cn3(!=(r~bh2nl3Md?}Ix?iB67u1PmqEG| zW;}%~YX8EBCZwq7?&VzB#^r2%_-FoDZ*v+95!9ioAOA(cUkARBqDHQ*8Tjp;k>M8u zxTfY#+&w(P!*?G{Z_d$6`6rK3%A}2jFfCp0ot8!>u9l_om|Yl?q{N(+hV>w#h9FNx;eYM>JX5!dp(5099ktF zN;H{LS}($Hd45Svukftdclwh2O0%VgZZ$}GOgGL<_2h}nK{{YG^dNfrL@}!t_Yq3^ zwk<0Pni)%D{XDJtPyid->ipubK@VrPJG$MVg_^*3J44jQtt-*z?NIOo2)rGorMLw> z*bUyB`G({P`#$cE{|Cj|IDT@NGen}2oJZajM6E>)XV?GdPw(qdlQ=CzZm{8|JDux%p`hx z6=3h`ih^*1LG==>)>*J3B{PvVpa0d-YMYEL+~!`xR8QSFBV+z8Nft@H_l;L5(jn^a zj37@KXa3OiOm?$AV=n`)#VXdkS&^&b&rC1DxNWa(Td{u4+(bR;TUYuWZ_0l43ne!H zNl0pPsUhS7CQF=+@I*sFi*Sph!T=)kPQ`mw@RrxJAK{Q&_G^_6)=dTYmxD1V8(le5 zD;hkuyx4sWrdfv8-gN zX|L}_@YET4Q=c=!T_E}3F3Z;yt2~>Ttr3Kw5vb}dl; z4@ZM>WOW63la!RczpuFG~ z1@5-8$w<0qmY3_9I)Z9iCVDM>6wZ0{rh(nyW{1gihrGdET6G#(v%3BKz~ML-vF*aC zzO`?P`N)r;Z(0o0Hpp^520CW-4`o%87!P~6F8R7xUc^#xI@8~YEUR`n7ZBP0)b--) zC6-cFZScN6vJctVxj^F!p zBP9^Tt8M$jPgqW0CMQNlpNv~Kc3+zi7sIiQ^l}Yw^Z(l$X`X$A?fCX^^8rqFohUcp zU*BZ$@KoK207(kC0Q-5+vKIyBdFLGweR!DkEI)pxkM+-=SH%EWb$Pfg65d^6UUc65 zV?M!`6at&ikd)fAty!!=G~0p?L`A@X0E$k#|3*J!}OywMHkzXN$etu?dNXchjkIahmyo~+}D`NbV* z+5!LD)?hGWx6g)lY7v!kn@x1>X6S=cN>U|dgL9WKb`Z|Q9qQiQ7B~21+&+Kc2RwF! zlC$)ceBTT_o^3mMg5_^TdGbRxYOioR$&UhxFF9`_THXrdF@0l{nzo>z>m(IF{8d=Y z2raxf>U&fKZwX8$n@PBFw=e1;D3L{TbQt31YP(04vI*4Hnken_S_*}$Ho#O9qgx9} zV9+DsqrkHuUQ&cpgpPObrt!)wkv19Q4E#33pA#{Ao`a4>{GZde z!L>=^#zQH0)}{z(ZbFL2;B~i>zvN?nlk)aW;ZuXSXC=D?#t}skydv+t7j5qWXTrs^^@=D3W zKR*`6Y)~s2n1ozavZCFqL5f^&c*E3eSZM~{gDie|u}H;FOdZzCYWv1@e;zw4!Vy5Y z)a01aTH%ga3z`0d=|A-N(31)9FzhmlvtO!CZ*Ahsn9JnCIc8-#c7!D~T)*E;f zvR6g)eQ^nyR!a|8^p5~f-{u<)@2!@R#d;`!3>Dy>=H;=ayGl}P>t*sg*db@s9WZf7 z8-~cyKzijSkQ4B6m-i~4Z!`b~5FS705{)N>CRgHt$OcTb@T^K=p zrq0)DFRg=psGu>GZ9nwN27D3PPikxHr$*mfMAzRAK~NmSrqDM3YbWg`+%}wXX7Hi? z5nF!{T&-<=MDul7;8X;fe`;A3qOd*D;aBj*KA})X zW+~D|=TU9%i&Ee(qI1VyZV4)OZjZS%&9|LAudu|luz7gF#j6}o8V>Rw`K1kbCPc3c zKCijoE!Npj_+M51$j-J^`hkJZ{YVvWwY3}YCCn1Bj~j5j6{?!teMkATo~onCTQFX* z=Iqq{(c+!)8aXF_ai4@#M*K4G!XZ1fYeNY_#L4k|Z?V zobF?Im%&8Z=@~%*7)ES;z6J)q+#bM_`d!b+l6HFC?7rL`{nswFwcRu!3%Gv19Ob=2 ze%DtvzA9hTWJQ^d4STRxi@ydVdN31VWNhp!L5uyJbI;w!GGWQRJ&i0YcX}O?jD6iM z4BNZk+1T&(q$E#7p{?S20z4epZ~N7l5RZ5Tp0S=6*kO1xmV3L7lW6Lo4 zWfOKt_Qg^PTC%cR8H;;JO2zT)m}t1dW@VPk8-h_2W-qSK8{5_-96#X-D_P^&onR6c z@vYJmDZM&kKJ>>ZOWc@8o(|_1sB9EKKIc(TUcC#$jal&NrJi*aa@CvFwgcH{e+&;3 zOM2r46@O%Q^p84nMLA|_Bjqd_z-eQ`2R&9!VU;t9j>DcEAY;2MM87ON+h7uhPl(k8 zTM8z2R*IRIe3wp((d?WS9R;PzrbKoz#=TAArboWJQ5rJVx3Gv6h$lS4VA z@DTjW!2QwZ`_`xbghk65cz16h{SrE;qM}0MADEx`ul)iqI4}7xYdMeZnNSF9isVWV2H#2>Qa%aMz&LO+ ztPHTI|85qG_6bhSRD?6E&Wb^iWmGu}dq99=wEA?NmC6`HLq`u&-oY29wf#M7ZfV79 zm8c#?DTSQ|z;vn{1S5Vw`tdM|WK%&}XuUIR*nl913=|t_{GL_Oi+;XXZJaEJZ*EAjLr%tG64o9Nfy#k`x9$Kq+oNE3|($|%X4 z6B%)p)VFsG64kzP;STIoHpi4d1qONekY-$+25ay|l?kK9;aj<~WB+dKMwgdTXFt0{ z`YR=P3^2s9%}m3vP$5>Zl}89Ek)A#3Q945YU8yrKsg8SgwkPDpkB)>3~;?%zO5-5+3P=)ZX2yaVeV zxzBnE>g!YE-LDBis*asUM8MK{CY+I26r7d5~=6=Ad9tL&GmYDz-E% ze22S21UvXzjgwaHe?;bQv*?mKvHt8+xcb)|o_9U%3gI8GGWeBx2ALw#FNhiRJp?OM zI?s$_zgc+Pze;=ZnI=8nUb+&|T0B_K3j8ppEeZ|>XzJYF)SlNT_f#W?Z6`wP72HN$&!6RP( zKLX_~_}s|!XHF}#KAH5oMJ__=)EevwuDeK9NY6RGiZH#N+o{FfLIyF!5;lK*3Q0f) zS`z}MNjqLvMeZm_XEEV*EmCQfi(Oj=Kk702SJ-z)<)(lyPrHB*qghm_3!UPWa zD!}XWDrL*YsLO2%qmazuQi^@JOTRUL6ZQCu*pqmJZs0;NzmfO(lJ|L%_i=J}H1&DQ z`gsfPul}PMq$a_#+(|6>LBw`H$I`0imO5R7yC;m~T)n44(swzhyM>8f{oe`4uc}u% z*7H(Q4!>C-%?Pc(lU=qrU~C5jS_<|8DbbK4UrIBsn(nmtes}vgzXx5Mx%3efY{gy6 zp!PJrz7N6R(l=}8cE264zMr`}1$}2TCXCeY?+7z)6mMQMzR70!Z2ekg56{@{6(AlC zyE}J%{pM=#2yG9?m67foY+u#H>ffs($gK;|w2b)@b=a9~Nx=&%Q=l8EaML=^x<*LS zn-_KbC7iUixJKA?dZStc-L}<7AV;OTV-N?aZK?;Mzz4nc5b;H4>4`pKGgI&?!rwzV zQ}JtfkKg=YZ$wVh@s6Eia%$Z@)yUAa#*Wiu;J=J@7T~05=nu#_lbqsbIF}&6&hYeW zhzklLgN5(QSUf`*+B%-$J+5)_ZgCOi%5$7>g8f?;))2CkMFAdHCcDTOW@L3;$6?;7~$B ze*yDK#$A48jzQH}h`xY2ic)6<`Xa0cIxNbUczH9-Jt)emf{fbukT|faCJ`7M{?W@~ zQNhe6T5D>&sYcd)`(Gh?Av^qL6ynPgjoC+8o@ygTmP<~oudG11rD?J460&Jw`MYm@ zh}^a+;i@igJJajpZ?638B!FW8`4NNXAT4+#U(nkB9M=|yNbjc6hrzmT?!68m3^J)K zo>P-jS%zs^+z2>=-I@Nl@zSyn<{>-lP-8_$$UPdFjZW@gpVYTY#B3!9*p=+btTt^K zlSs}=$+;1aA|0Ur93Qp_2NbkcUUCvb2i`7eYtB}Z>kQgxyB0wK(r4k#n1d_8dDjV)+SGU9wYn_X8WHOtCh{we^_Glg z$-`6sSQ++_Hu9m&;?7zu{qGCw22(Ubit=h|a}4$tSzCo1>j0}eq2QIR&c#`g z7F3?iuq51Q1Gg?7#M!IK8ETO@6k&_@!}D||f(gLe(%Kw`#|{2snV!9X zs*gNW#H7H{GS&^M==K3axvP)MD~`Ll64iyvV~v2Vk~6P&FQG0lu>1S~qrEZX4-Ip$ ztgHpRUD9*eG7mC9iG}Sxjm=1g59D@`ybU|8q1hT_>BUFs}@kuB^kgW}M#1uJFeS-ix4SYfx@l40BZe8D_r zsm%tS6l`j`w#V11Pe9hNZX&~wSq#G`j`t%-fNWB+kM^-u$o~ZQ8^3b*wylI9EBWHY z+urr%X5INcRj$=?IMM$|6=`#7bkGUa$2-);_B@*cTTJ+fmT^`XOTmgct8v%cf1M0i zNV;$e%*uFr?W`WZ;U15!s>ZKbL*iXk zU_*n`NQ_{5XVcEPs3JYg_e&GmTP%y7STkd7py_ti1Ok?VV2~vGW?o4Qkd%nfG%QGe zSw>7){;DkHZwAt4l#W@QWbr#!JPv%ak&k4dKqW%2 z)?lsT5Zv>B=`k*3-UOU#eEvTe87TsEpX5IC;~V6WQW9;ZZoP|T-t_3IJMmqehnT`F zyd0#J07!uaGqfptE<;pWc3(tzsgRj6Ezc@wbhHB$O=E0|$?xkMytpa`Y@*3W4=jvH z0*mCEABJ>ESax_4`F8q{)hkTkvww~7yw&i)?mc^SgZ^V(_0PaH2uvcKE_s~PlQQ?Q z-hsj118d-m;@8bW(Lf zAKfTLLKcnHN^YG`&(GS?@qd;2`3pp)puaqnxt33!Zwp0~7{04z*@M=5FCaP2sioFO z;Vwk-^eU|0y|ca$a~N1oE6_}B%2CaZv?;ylvV$_!!+h&|8wCBGwH-1K2bIcYCEDgmVPaE%RUKQ zveLdr^V#2{t|#JO-9{b{Q2N7XC$o}#%8`Z1naeRL;G_L3*)DJy7t$21TH%)I=f4RF zEME4h+0U`9(d~mLBQGv4z`UwoYQiZbY1I<4=;xc8a%q>iwH|4gd+32COnY(dQ=fnyu3fx3hR?x3E#XASPDIP%<;J=Ebjzcv+nvqfDsl%n9@Q={fusgjZNx zwZB4*#D_A2t({mR%ydh|WA2aUKr ztJ%aDMA+NgZEB?v3vQNTX(r7|z7@e;oS#v?J!`>5N{qc4hjz*H z95-G$2eG5>vOk!&Iet%)uVc0XbKIFnjxBS0FUhVCbj!uK#rl1Fb}+=RRtC}g@If36 z`l=iJWE8`D?5rOMIFQ;DEY1^tm|&4qnAiSsOg2bqkPsezgTZj~{>tsy63zsJgUI`5 zt^WNdsssctT^Glte=oNX-UNQiJG_6R#&SLaCy-G|#uA6ZR43_Ar{U}M-~4>r28VQt ztm&xI0ZIzqiYr-a81R~9RhlYjSYraMb2@gVO|6vLdp86{`fq{DvC6qH^&U28IFZ`L z?E4BcUZEgQ>7=zeYw$9WNiJGDvPfY=0G;-#l z{HTtDF8rRGD1^HSVDhL^U~HtN*4Vr4FLyNPkD|(+39)WM!~PnO_q z_m|$VfcBcsb9DvsV8wszz)K(d-BUIX>xZ7B^faCY!B#jmQS&X zE)66(_jg$Gp@c!g*fdUg#8|B#0vkRe#KDrA@A!B-nlX7R$-E>SGUB?yDQjJ3yQvs7 z=UE>K6n&=W7oO=Y`)p+>>xifie>;v%XtssAQc-Uqs?ecgaafW}CM{+yPliqJ(dp2l z<4(jUPYCB60TESN&5_CWn}u0m;Vm(YFi4?Hdq#`NYZQM9vc8pV$1l4kcn0 zR%Q*r7hYoO@U>9gunIoCoW!w4Gvy4K75G; zoWD8P8dK->$b0F^D%jJ0EYx$Y^I&zlY!G#qTSmFE<-)WLby67}BK6vee7^ZHE3 zj8Gz8i2(k68Z`W8wk8L5b*!-60-rdOs_mX^0l?AP^jcaZ(*-UK!nOxeDMWqyGvpgR-}_MT8FmTjg`S2^F&KPx$VQ$OwL8vqhnKH7#}g zjjx0|n{!{mGLIb(l1S0@J1~(4`dY_#tOGgbW6QZQpq$z!IPW+o9qsG;FM0%=go~kU z>|Rs=n>KwVE0GGC3%$m0nLuauvTuS_>#SJ?fpQgA0HTj=sw7(&WDaI2P*(|0mY5$F z^ys0hP^DeYRa8t#+O+6Xj}Y8PE-W zaj9F0tkJXlJSy_rcp6O`-SuyBU$;abl8!=_Tx$#8-CPQ)%9cjOg-iui@1`_@(Jx9| zi-nIBzt9)_V*u5OkN?%nSaAeCGe{=IGtuhl@ZOGYxRq_gv< z6N@e#m^Mk$|BJay2_u|g`=RFlJ>}t#iu9Yn8!1bc72uhq3Gr9d6mry7s47$bcV-H( zK9NcL`?CxyeDS_JnCBDg-Va9${*o&uh8Cz8A@O73COseV>CsQQpD+h1Y-&=IW79vJ z(TId7VYrag#lySY7QXpd)e_aLx7Ly+{nzksKf&!$PU~@NBHjny@oc}>sE>X{bOdUNEq1VtY{{T*%O)8u-hPg?1CGmC3hd}se0&*{}IsB83t8TO5Z482y#rNB5CpPuEbdQnq z1!McY<5hOaw{htKlZ-27#-l-|i77V=lQ`#^xL`C8sN`ID6Nx z=VT7aS5K8ya$^Al_SV3+%#Qw_HktvJ@1gN$G;t_lQ2@u5i8fP@){JvLn;Lwd!vqJg zJEf4ph->#_T+%PPp>WN|WAN>|r}hd-IQTCq8JiI27Js(E=@~}X3N#x6(Af~`t*_R{ zyFkWwAm3Ltl>8n&r0jC?mxpwlf#&aAZRnr1N2#mV&cZo;hHX`q_O3&Doz7Yg!F~AN zN?09?i*(ECfzF1}86E$e*PT`r==}ubtD2noZ%&-~z!sV09M|m_4S1QA1RHZ`F(Vwy zSVZBPJs=k)bh7j;Tw-KFa`r#&uHspA$}y|H7WyOhwRIfwFr29vUqR+zHs6_6_#j!y zGXzCZu2AQ7Txw<{@+lJqvV}ku=DB}iRM3SsO-5CmvtB$2*i@(nIbKXqFL8|p-ZGc* zeq;(4g1)SB2GtJ~si7Z1GyO}{#Zxm$a{edSw3^nSW5Qn=(UZRkx@;#l+YS?Y4bTQL zDD9telBEqqdZ-7oFG|wfEfi9H)}48#96UQw%30tOHvi30F@DQ!irL$!4HPadOEOI_ zlFiz6Y{=6`pJ&xzp=clIULDMA6Ht*SbCPBbNO2h^&YWQihI}8h4+`wi^eWoS>xUpg zdjyNBSpi>yw?7}ZKC(n9L&4(T&Q$C08<^K=Jkd7(a%mn8)+bCrA4j5}{Qpf9gAFEN zS$2!EVng(W_A|_K{^RKLE$`i%A!k`W>KIJMHa$gxDTyN%tN$DM`dz6V?mqF9vU@<))O*Xlcx<>pmA0#`?O|bGBU}*^qVr;%7R3(xLC!ff;jr+G ziJqP;@WcnDL`U7BZo(`7JMHfVcIFBQ;w0c^<><|a(1fBevqXe}Mb5p&PUCgTQY_#>%yb8e@N)$zIxbRrMG66>k*4yNX}-T}7osow z1`RZYtle*}ppUAEX|5N>(mCwAsW5D+Onpy#7p!Kaatya+)U_3(^ik^jzow0;W^K66 z_swfjXzukDWF&Qh8rsAC>@xt4o?|hYpl5M@c;@&F-yZO&Io(^V=ncvwa9hC~-)RcD z$=R%r+d^ovC6XU9%+^QqjW;2ZJfV zFC*54~ZnwtgLZZx- zzVF=mE4^)3cl=Cy|70s^&Q=yc>mky{65`MHXS#825>OL6ZkU z(TY1p{!l7O{dbXTmsUmd3r_^{fP!Pd_#h9zYXWgx93pInPCw&n7-}RM5Rm1<{)nNi(e}WruBM=GcM* zm+_(i_3uRn26;J?uuG^hoO1vfh1S*`8cBTjJiQco#YQhTFY3LHHHn|yhe6jNzn7;+jWs=)bq`o){5IZ?trN4mnMcM;s$Rvlt zAIzj;oEz^wCvr?P>W0g8Qqw2d0Yty^|4_r~^tHygUtzVP5Bo~Y&6QG=$Wd_3(E+h? zZ8VQ|X_@>5B8Z>&^6Fs`%OpO6J-8H9)V_PpNfY@YdfQQspE7cgJcnX`KQ#6G?PZTU zgfO%=+CPqol2Ps*X5+R-NR#5{NYfzUyw9AnAsG1z(OIw-Ep{CN*i$>R9%w#IE`1QO z!sV>^OLdR&Q^pi$@Kd0NT;pLftVSp-BJ1B5N0FZtP|^NkCl!r)zl09|`9wHAv!(FJ zZ9Mys!xx85eCAj zKhg(`Dd5+y(YHTL(2_s$f7eOn;Y}TIC>2;`lNI9L@K8PGgtyegZ>#(C>0%dS5K-7` zp%wH*bUiCTtqpw@j@Xi&2iWFBsz;apjKFh-z{`$=qd_FfDDnTH&+34igdT)(rXm$; zDuYSAr+$EWz}IA&J-tl5y5eDn2H|(b+JLCZ>CE)e z%2eun3;ZXHFo9+UwR;E*_=r`noVOz}RY7ncMGOi6wPR5$4HHBi#s0ki_MNPb7)+m~ z?QRlq=FL%GQFw9AD4E?Te@J19G+w8EDRl^MMrRQxa4Hm7W)Fqq%d&k%p-vqsT)5-o zk4!}z0{T6F2c=o6rZ+!^u)idH{fhHr?gn93F825i1onv&K z-4cdl+qToBv2EM7)!1m9hK+5zvCW2!ZQD-H^PRt4X}j{SWcJ=O_jOHglE1trXv95Y zR3BHEj_2W3_Y$8>>nJEp33Cs10T7-dyOk%3liBZpf!pZ5%f5=Q&RkkG*1!HnxFMTo z2uvtWe$>>~erP`lT4`N0d7>Na_|;<%W1|vciWW(-BKr@%o|72Je|Ptx7B*bn_MiI9md@I_ld2w(0IUZIg}si z(P5f33ufQ!P1v_v%w6XPSjUUoU{@R;_%%oS94|bOF!uj^_wsD3KA&IJrUs|h9N&fG!a?B1O$iV5yEl6o;BsmX>?{#-Ap7fkQIDzN=4j<8mQUY?a~g^ zA15Ob6h*))zGm2nvwdlKdu}&-hbtju_bQt+wxvDj3OEL2s zM!3E+zNq3XE5mcV^=4j{#3U=FTg6@Q#ux^akl+Wd1qjD!gp6|(nGmzYo$y`?NRQHj zE#dw0IAiD04iQqX`%$`1H)r8RHdGP!JEF>8DEpJj#}|}wJv8?>Levu@Ut$JRGF|)V z2K_b?zeNF4QHKp4Z;_xx`)`%~=YOxV(r4ep@j^ErjHp5;g-BaK&P$pY_w4gpvy_*n zpXo@*y4%|;)NMAH@4|@%0AH{AcbIS$g^@Xc?wa#og(JT7uxQBFJ(**_R!)4BYwnM+$yip+1f>~R?GNzGREM$jACdNIk?A zs6(TW$xXU-?3)WvzYiym(?Dk?hjcZ4J~QsR4g!OJ;v)&?m|W5QjbUB86jZgMou zhgId0n1?A5tK%7z(U)&%+C$Z5-$x%C6+=Zz>zwyKGQ;f$u=7R>NgC9@!(Ww_vDrpu z1w-W+-_XLqqH@3u)g^qXHRRV-%OLwI4gHzD)K(hU$}9ZY1o=9;@|lH=^> zM=3()%tL5f{r0hQ@K@72kR%~V#q}FNY7o{Sh5FfuyLWs5ze{1@Lq9*swEQpFJS&X} z{cOpL2*G&7)6@Zyd*Z6W^I3FpDiu7`+Sw7Zic2_Poy4v%LksKHB{RpG;g8=qhZ{bk z9IURq!?R(L*8roZO()+j7F>VRt$&w? z^w_I3poBRGLpaFpsl^#nz4YbYd`RqBNW*Z?&`9l=e@4<_?5TCIf9ssS_go|G+sytz zzqC~HqhZ4P`GBVTfgk(#uDX{#r}NAB1f;5lYq9B*`~B+cqet25{R0Sqi3Uh0eB7q? zWF6iCfdvP&_vU^{Vm~o=*+52!e>%Q5L)b*nwol)`4tnl6M-#tp4L|>~eF?rb2xfMF z0d!2^$s6X^LnGODk8u|W-`29Rl*yBHzIOha!tg4Ss^EvKJt3VN7Ji1DlndG>!;=ae z;*?>Pv?Hs?-PHm?n#c!ah8oQy4V}3v?v^ z;EuYDAzgkbP{ajAc#KEYHoI~Z02piS&T)U`MTc-eHMDE{^tKC4)V)W zU>RbQQEYBXT+>K za*;{Pyje@7h6~J6zM3m_4JeN6;ej!0Lur^vHq10WT4tco>@&LxQQS9 z!w5Eu$Y1HV6ig84-f=Kt6XZ)b{f-xh22qwQ2QEr+TH5E;SC*cQxPc9XxBSRJzk33t z3S-M>IqS*9pO*J9(&FBdFmX}&r9O^(H+)}i*Ybhs2d`m7-QP&=m5BpSzWN}kKQ8_v z;eFoL0<8}mV!%N`(9DkEZZtuVFC4S2*Z+n#I>KYJatRB(f^`1~yXX=4by`6u`jzL)iGh3TGA@cB{5M?Usj43e952qY z?^U4`%%WIvlY7z%GwX<68Nu!5$ap@V6K=_jIze zID}HP%)lSj1JXP90-+NN<&Ep~16dR#IqI`(xQ7nOlwY^Kc@r&rRRYSV{cHE(sigEW z8}7+w#iC$+^bAR|$kKK0ZFeg9x%X4Dr>w*O zI2VQ!IB_~HW681psCII3QZmPWjIHHcUjrQtFWdG(z=qrMK?8UtQ;z-oU!B3n=%Zw; zXG4nIx%Q+!Re3lHj*sF!2mQ_?C8Ve5$97DvKZnY5VFQWhC4N?z%ET&fjp13-XrbyE`I ztaAQun8A3+|W2Djar3v~_NVMH5fv}d|;t4agy?g+)@%m2tTG6lD1`RUMoYoxq%QjM zSY2i*dIG(E3YxT01Xpzp_<)8C=#D1ruL#d0+$b5%M^uV2u*fRJ_{s!*uqL;Vzh*_) zp$mkuO-mmgQu5;@VT|a@pswDz|49C|tl(+9Mf)MQfq4du74O%z$V{jXfs;yn|881v ziL;pLZgUFRI%D_oF(uuG|HQZO@=~46ohO?>Qn=bJzI)u0_RkV__=~lgP^oGt9p{AP z-fuqKC-gl9Lxh?Kj_AQK{nGhJtKNWY9J~eZOWVT6EZi-)47^-r96ox@<4tWdr@#)$ z_V!!C%Jgc-2&N`1Da>V@(@`#Fj(ZrEo*#W#8k60xze0W=5ikF?&OG>qti=BKr6|-% zeV>{?!;$fLlmei@+9me z4e!;fNY6b@7Q^pKK7B#AUz6}_YB1bR6tWaTF@a3LaP(BKFpsPRwS;Y^%!xy!W}9-} zWJ#QmcarZtTf-7hbpURyDkIXuE*16Wh-m-&kLNAenR?kRxO4T#b&;uj+s@n_GH9WZ zGhk4@_>UvHRch`-L}vzA3EoBi zV{B+2$THl*5HvJc=_>Pl(A4@J92~^N9Enfy&G4* zuB{7K;~ySfIE!bz0*mjgiv1vQOGpXyVkEpzbv)<&&P}5=j-Z|dF1#n#e{v|l%CpJ6}q6A|9dCpGRzrs4aMuInF>nxBKoqHPH}iI8UoxWL$1RMQXkw@ZVRdRyL%IpKEl7zYj2LC= z<$8&>2hx>h2qbIpRbO^yZw77$L@VkBKJxP><%oIMDoC5ryVS1r?69cWVCH)6)`AUsbJ3(lLOh*$@*I zRCiZg>jR*@ld)w;*D+hra_$C`K+f5Z>|ec&d3Y>~jRT&lqZL-ECYp)}8p6`RC zYDCJhCN#4XY#~g}x$y9)lC-wFS3o8*z@b+VwheSyUVtF=|ARRgj()EvwX(+i_lfDY z)gycLi{5;Tm6hNwv+08yHOJ``-k}_<@Y2RuywYP$INKDr?St-^gl$MCiOM z7F?K)xKH4%{{})nePb7tOFLR%CV4!g_e$HSQ4m1>p+t0~l8k7>D|9l6_M)GdEWo6@27Z4NDwxOE0DClQYW5Em^8MCVJ>ynk6Q z+^fWqx_av2`+pO=auOhpBi0{&yS_|-N3pa$CXt)z%EpQTl?Iy%W=^q$5bV~sL zM5y-UA^-p&HOMn18fWO8ZigHHf!J3XQe6*0Kdhdx8nk^+Udu_P$|_A^`?FY0j=%;pa6?jzf$x6ShEmCDw8?Z*q02A+%cH}j z)J}5GjKH>uO(s5E%eF*-XZa>vVBgpuPd#v$l#0=4+0N9E$$xXb>CqC^ny-T2g-)QJk9qX=!Qc?IWnHx_b4(ooCS#IHy<3h1WTt;tOMR+}z@q+3ovYB?t)zsbJ`| zb1T$C4}eK^XR3T?mfWxM+TE9sXPFFTfl;*-MzKVg+bO*H85#%`PI+E)_~#cFSI^eHbC@q?mCne+ z%TcvqcO+mw9LQj8wK$TO)oGWjH4MLxo!X7U?evE@YTZlRE|kWk=+FkK=ipzUy={HF z%W`ojufnG#T(}yBWLETa-%iEPmXuV(8er2pu!AvcbdaJxMBntO{*dpziL$8Yp=n`x zg}NsS|HyqG%as%C^nMu6#ne0f7YeZXWl06220g&9kc!ynqvMx`*yqyMt0CDfbig(A ze@8J8Aq-fW``pFup(*x#T(O*ZuXgmSOuDW8Tj4YP|FC@ZjI`AD9GOnde@cO2*Oo)+CQql8E$e3I@h<8oX73 zbmhD@e6iTTQ}+{pS@9zxbP{82a#z`8%DvSp6|EVvUB&+xpJrS zZxDY)T#1QVgdM~MW5$e$S>pyU^Y47Hi<>NnlTs02)0b0u=j4LgRgA#9)GNN<&Qict z0JghjmrU*(zXHT%!Z;7WU+~|hVC`f_uwx@R(Ss+OE%LB@Z88bRTMFp=5Go1(j=JR ztC7}7D;yAaOqh-t%!?IFFBz3pwHM}@QVGUh>UXDwej$vvhBoSx2A%vHnj%i16BA^$z<-s#4zd2UWnoH6YqFX+lN+VtmM zh{=b91ViJnw}LuS^0|!yFB9*|BQTV$a{8Q>0pIhX0JjZ#(d1&nID)?Z?krj#bNMez z!}9ghKHO&lJH9r^SzZ?qsWe4q?&F?|KtcJsEd$N2TjZu@Tn&T_^;eB3}xrj z=*p2UMPZzPEeQ($p#yxmzrY{=;SQ<^U3CN*&nzK)TQ)#5!Lz4hRW@b}mBj~hq<7)M zDs3%#p?IXFW4Fjb>VbTaWSv8MrC4JpZvDs4ghk#E^9y~`a!wKLQGDEpxE)Oaw@LMWkxJ+N!Q{Vpx@II_ud*v_Y^|@`7VGtwstb^!C+&Gq63IOYjwidm zsZlY|OTokz%T%1gSDhtM(&X4f{{zs7GjEBzgcPB2u;d15w)IoOZ_&M2QY|*8z*>?|szZJ7-F90bFe9QpV z7N9EgG9dUqpmPSa*?}qY=SI()2N&+(gtz-l$5F;2^C;G&oMW|m+*TW4hERS7sC?8H zAlyt%_Vv*7si~j72X+G>KF6*+9}k9K4@bEHpFksxrQwpm@9}));i0J=tNniW@UUdH zdVc%@?rdrUw$C(`ZKu)AIqm5SwC~OLmwQ{kQ(lg9Ud#k+7ByMXVa9n`_F`H$f3E@l zggy9xh65e67KhP-_UXGZ}zpN@HtAb?z&w5-uS*NJNC&KQGtrKn?n?XO6HLWrI{KpQ+Mkw=3i z@D8Kl++FWzm3gj%{?wb~VH`xDV}VG7V8K=Gcfx(ms|BYl8)2Tdle)Gwku@`_Gr;M4 z02$a;g6X1}Vstkl#udf@xJv);AKGs3N&T<59GG{~06lp~FXCBpG0g z9&y2!Q1Zu>d{2{us|ilKq9JX^M+Zh_rnn6z=~{NQcRRPau$n~>pD5+D@8xY8{;&QI zy9c)gn^cSzn?6iXD_1aSZQgvUF|cNNOpDM(%MLj1DY}K`GU&cc7D4ndUl_NirV#}+ zoZ3E#?bc~8g|0QH9@W69VebDc>4K33P!i@&?g3dz&$D!P5kT`_0|yBp1}LvFd0H52 zFA+DQ9n~zh^eabpN5F#=Cnty-0mLQ1xa^2JD*sMpoI2O{b}si*Eg(ms6!_DbcL0$! z^nWRKeD}NEkBl0+@w_)R8-Aktg4-Sj*S9<9We(kqdSX$Xbk%)`|4Jq;NAo;PkVhii&hk1Qux z<>`P5ATP#*?n41(U|ivOzEq%z{=RM*Ev{3W^y8LPX@d_k@Zq0gHXaY}Q^V+?I+cxV zs1j-GBgw!`b*x_Al9DRLA@w}oFz-FZY%`b2pjX*9v`jp&s~JHkX%N4tEHDnZ4X;8E zh*oqs#8sn?)G=;HD8eyMMIgOZ0`NI@jHF>u}d42%_ zXa*0UgWRkNng(Y%Y9`YgRiWPXp1*3H1JU^}cVX(Y)D;{7Uxb{CeJu|3p;&lDqSF!R zN^C<5J_p_XU3!eqPTzwE$Cym4_L`wQF`=feaCG9y&f)U{#5cL`0HFTmI{I!Y__pE! zOm=%|9YOv)-1DqEP%|SRLFPO0rJ=TR$o?(332`IpYX9&DWMOxJOGoDn;0=M}r}5|O zbv9tj0sgZ-;;$Rx9ze1JR5U<(B=~s~7b(?6Zk`>BMc?5H6fH5u2TB(%J#z+R>L z!@S+ffQ89xc4|^Kxxz<{2rDk_KPxAXUr^|H=TF-H4(QLXa`VF=pi?>)a^KWsW?$f~ zP2H;eL^LrI@9Tx^@0wAYeCD67CVFt!;JHV#x+R~NylXIfv&_ZF?C z7Awu#0Wl_fv7#hrzTZ-m8rH6L;-z!-H_?DZn=nq&;uElC05X{+vBot_)Rl|J2|YNV z0Mjv-CgwIxm#Xq=E?Z(o#~`J(FKVsG?gcMcxTnub^f)CSnJ+xFb#bpXa3xD%7|4`2 z={IC|*lX;9>T)e&L@!Px{x0s?X7itnbqOm4$*?yxnLajvDsr0JWkSX)=4?JRe z@8OR<%T}8&h1}{Zj`&uBW8A;zt$Y?-L5fTIsioQPJ-b|@0ITf2@ZLhri3g?86jC*U zn~3oQrFEwDV3n5wjxEf7pkIPr)Fni4tyVtot}L5;I<}d}G<5Sx`&1qyH`R^I2$7Ow zjywnDH5C#%ivN&}=GAPYYK}>FOZB|dy@NI>4SPvlEWC51hEVq8r#&XRs3sg&J)XSJ z5oUjVZ6M$rp={J?z}z)b+6&}@3*KlJ-Q)b78-&6Dr*!0__`xCVDk17eev z21`R=Gz5G#Py^eg=|Z_co%x86!@+C9VGDCqORab#h}}Wg+~r$!2?$(AlsS`M4#})m zp$?2mg3?1O)buEY+J$#r3;Mso^`_&3&df|reL<S55YSW`l%Fe%>SZ_N=FX=xbd8qDpg&;6mB>BQd2CRj;3c{U3fV>d;lhUQ49}W zyLSL+*Rj!^Vn_SjEAKfOtnPpEbUL5J9vhm>Py_l!JkZZ zo*au0%cmTio}F=>#Hm55rUgD}fFy6F{(IP8wZm|L_&MMudI)*o+Gncd0>5)3%6Zw`?P z;BBU%NKW?^?v#3qOaEm+IT6~HYq_=UR#{G}&@hcer^s`v7=jLOhaytM%haI~(fW9C zNSIcT;?z67U2-go|5`oB11qYzv@~&0`}JB2h!eIiFH^Ls@iM?0)-cJMs|m#knTQy% zDKb|`s6|cDv?4<7rqx+Rghr$V;P!~bXC4rQa{rZ&2_uU%|8RxQKb=5gze0NO5o(NZ zWuIy_ip-u@+xlcZ(<`K2?TN>E&MFEuwg9-UrU29vt z__Wd`1@YTPq$UsS ztF^3T^VZT?A!G2Tt)G3M;iAMcjTv@wnLEqIEm1i9&XCOJ`^V{7=)vvacl{I~$pwxj&W~H+}}K|kD6j?QK7_D z&s7_`=Anm85%|U*fct&sKGhqvtT)-1Xmh|TP?j+80;U^Iob((x$1rez5z^P}9gL$I zqN>?0;G&ZOFaCBq2^UYmvdCInv#S$2avCDQ20K zthh^&cIjW&HXdfvpMgBpzvh>eRdJq6UgOqX201#=l?b{xm!Zxg(34s6RW^y7Ss9py zJt%D24m$KZvqeM1-us+H?WLzHmNNbmDnG8-QqdZ1?wAERTQH~OU0B*g_llFl41(5k z7G))RW(J?Dr68+_ouQHl@&Ov$ytOf(y(StH$?r@Nnr<)E%(Uw z=Zi8vK;};jD6jsrHx`qf%qM=R{dpSu=IId~UldLi3v84Xud&0WwH&S`)s3G&t9-XG z!ocFsixBCf@8b8rIaR5ux-AG}?~m|aTu7!&28%1$r$SFHT>Y^1iS=&j!SeqM=~J8!a^zE!PM#0LNI2uO*)l;4;D z4ZBU{Pv7W-Z*vN0sH&M<+x_Zg+4x*SGbvY7n&`f!fR~>Mub6gKG5SS@`JQ`V}if@YN6cO(K(>DQ+^69u3biddXV!eJ8UEf=j zIBV`MVzCb1%}w zhGKf(5;cl@rQd1)9jv5YoEoY-x7$tyvX!pjO(Rg?VxrKLXYr}0)=HjdO6me zJ0W$XGyyg!TA01-BmO}pHjy?V1aBIRpulUuxT31B#4ATVxiUocH)B55-Fl7nOc$xK z|J4WHN4)wJBcGp8gY8B)W$%uI7Gveh^LqCcg8N(;l&$zMFZ|OccpV|i4Qm5&%9Zn> zoHEj`4)9j49LOguDmx4K?}yIlC8iC3J5Z%1An}qABP0S)!X8uUcUs6EaW-=2@_FsH z;G!ga4{#p4P8Qb@J_sg)s#tS>sKweTUvJPs_1Z#`K4fsMTX>vCRbB%>Ym1DS`j^;e znE1n3)~GJ9QcbsSVJ1%1lt~!1FGC7HoL)@~BVI~Yk#K+6Iww|Ne1yQwJV3VB?Cfph zbM0r*p-lv$`m0k>t*Q<6@7}&_xw^cF;9HaSj*hq8A#A9FOoZM`QNK-TL$D&3Z)ina zuZ-ByPTTOkNtaL&4}>1|buj(8cnYP7j&5ZSA*ltyYfQK#5adCOnISz26Ce4#zP(VO zGM-2$4Sg;{XesBlNMN_&);+Q*k);dR3FWvtq~O@iN`2aQLzIj#eAi<>J#$n@t&w77 zQRf~PA>aP|@GqV5<2mde+B!D=re(zcTiEAnx?O(67u>j%v;p+wiKvKDJ)h-|NJyE6 zI_zrys3IB0&?9UWSENC7mIDJ}%VejdaWPFDxt(bJNkh*VY)i*7)W7yxB|!A;tk? zae>`oVxDvP>It}H%pI_uf>_Bh9QuX%l=UOOpgT zjkHa0F%JFN7KyTsyl{*di|7U0?Oi01fx(VHykpYT(94fbYw2~ovW)ud@z)?c+%X5g zI@G7ERU`K6oXypko^fpM)+DTu1UovHbkaRIz*fZwO+&(ON=0-_esIHyXayLDFr19o zpt1cJXXua3^F`$`_1zv=kFuL_|E|eE-9}+Vh>gNv0fT_tgtTAYtv(`A$7@V6EB!hwYY z=G5a^i_R-sVqVfz#sem>1`T?G!?q2v|L1L13jXa@4VC}6zjc@{DRIE^A!+xRdhaMZ zAqZZCFpcg-yJ7QKh+boXsvZ(sw#%qvcmH)7D+namRKcrOMs3xMx=@qG26p9lOvW>O z@qfVl2M=1->rTP5HXd>pX!;tS4jWqdKb$5nPxJ!wf~W48t)YS>XBU?NcilRRW82&c zLe5I_li}TOd2whJY7WE6A?b8)+N^^n_+HR?$IEzjt;bxV$>bB+GLUIEEYT&l&2H)v!OrvI{js@_5pV^w=EsrD!&qFG z>k%Xn&RsC;Ge6Q)QWV;_xMx}6#!wg%kAwtLpd!S5qnwKJ%3Uwjhd4!xuIuJ@2C zrxLp3Dx$wO)J2nmEv(Zof>kPWwPiCR`?R~c61`DXdKg!As$=OH{Wg|g;l%>`d&EjK z8Pw2S?G%HFXa5{Zn;V0Bwo)SpeGDNEE4@dj_HPn=!kaHa>Nidg$QNJ7@_Vj+VxsE5 zDjuev(DK+pmw)b43zG7}e*p~^h2+|}(wpc!&RJnnhN#qV8*H%--(y%M1*YGn;9tOt z=5YnVgN8l8@|VRWW1<6-QYtuRr9d9e4nI_79<~0eR%g1pC>+v_IEL1*h&o)aru-;$ zyq_)Ii}|bw)hGOh3_W4z#T&E|YMGQ&1!21n+ZRR#_jO7=AX;`SEMz}Z_*+Tf*xic< zi)SY~R4SyHh3y;F3AHh7{yJ-6A4N3kBVJzSDo`I1x}bK62JEM3 zdLV)_5RJL7=y@Euo^)o?beY?0MyZ1D%1nCUtEt?9 zL|Zva*WuZ;vEa|uokz^n=ed`L%i5i73~w6zIAh`GB&%dcT~QOT!T!TPC>2@rLF%H_ zT9;MiRPL3S}^kf)->fj8mYYHJ}>P!;Q39(9&LcMj-39~cEEQN2iV zWlp5Crqc8YYPr@{OntF53psjep*EysbQk_cJlXGMp9N_U7(xCELB1A@JYrUvhd$`1ICfEz;r)3*Bhr|Sf0GwZj16=*nu_pzjjz7rq9%3u!dqH1r8ME6 z*Wx^lh{#47Lo7JS6&bu-WRnzG9b+v{vZ0xwC)-BO!^B6ZzRomOMc~Mb!C)AB5U+o|d(>Ojyd~Pj)2#j$ z*5&w^T zV}2X9kfl|>vh>d6CqanWxCnKFBQm#_`Inn7IlcU-ZX5+ZdyyZ-YwWKcx$k$UHO;a= z-N+QAk3i|y>dmi>cqV=Jj!ZNWX)kT<4!#zG2BF_3P;RXSf9c-Tzv)``>xD~24i6@( zAa`HQ>-U=snxMWLV3VZTIZW5oXC)u7<(L9i^Koy%D*=$o^P+5mD2}AtY{#@yIU-Y zGN>m<-F*@o{Skh-{MF*pEj}3bE-h)kL21YPzBD;1^lgyb3#3D20C+MKMt zhrVJ0Vk?MhT^S;kU$F&2O?SAoq!>HGn;fB|Sls9aM$P*=R#XtIa|-^5C>^(ls4_l9 zD20zBL>)2F;M{lV%!%%1o1L#8ePn$DL4{BF`w}ikVZS0q+c#B;7IIZr%nqW}_<~AG zWKb`ySmVH6m|aI^mbD&*2bwLK9g%0%uzf68L&{fsP0*87tk<8%eATLqsq$E%_l~bp z&o+aTd6*i7iDF!#pILJ1E6KmtK{L(38>f!MC0%_>`9~Ofx}gvWTMQZ!STwuhLOr%! zO&-GqxcOy2r06HvVb-z%NsN|WT-tm62?-lYD<4RkuzeT7$$e>~ZWmB_nNXLWhCNM% zj8F&N;CiMkxI7pWci_bhf4|TjA*zLF5tAQ%{+5Nccr}KZV3TWnb|hj6gcWqT3sqFm zia5CnHqxV^*s&eGvlD2H$HH6l9zY-EK01Xkab`76MGl4H-~L<8+=@KYNY@G{z*dfJ zYz^^!bcZnqtSI90L;FiKju$*{_!bx~0n)5c#^a^p>vkHMo>ONU$#*ZPfX%c zm!iTRf_z&{JN6#5F|vZ*qQ=US*BI043wOk$6#d!f(z&r4o@01buck})w~h{83!d!N zC~U^!oQMdx)DG3PLbCak2i8O>%6|_5y!Gf%4@xBU4|7c#9v%y-EL+iOZHuu(h>)`c znuw?W641Ge7WrB_V!4TQ;*UjO+@?Kv%OB<+1<>D^YeyFhQvN9I6t;n`J{FTO65tmT zMl^;#*DFp|`2>jVp^|`|VtHzh*q%@|JK4lvCxZMW?h>vViVvUI{(En36pAo4eGN63 z_p!@yHQSuY`)NsZ`(xZ_3E(fqHsild=!yFl8Ieq%jnx>D9XsYk#1OJg#QpG1lsDWE zqhjLnz$mF7e>M*m5M~;)u{@C|9jB8--PH=X>s@%_@Zah0Tyk)3YFmw590eW` z)K2jWx!b-2B5*)deTtiE0wa=mmaV-|)42et@~T;Qg3Ieoh{Ge@jwA8+PuFihoKJvw zCsJ*J*W|UelDQLn5C3v{^pLd;M)H6ypTA%7Rz59dr7|v-zrQEeQ!n~C_cX= zP#%0k9dJu+Q2TZD_4ZZbTGLOx_1c>&K9Pj3_p*lKyB1qXzqF8)+H4eR_nYuVoNU0{ z2ypv^j7=d!9`#mzjWN|DZL%*fJfgCFHzSy*;JuJs_4cD;?D$6jNi3vc85AMr-jRLj zcE}QM5IPULaxs46O12e9pB#;{v0nAl+rxu`hnfBh@kpC>1uIEJEL1xqB>s%J-i^iI z@6VqlqZE{fw?Nv{6(ss>)F-&u&r(=IDO4-wfnWA=8;dMF2KQBi=55MW^iE=p^5=Fq z;<|EXrByl*EUky|^wwfEKeUwbDVIAL$>7mr`4FrbIOR|a&DYR3<;Zj8%_-c@>A|ar zq40)7Fm`R*)`2_zZZw4>t+K=m8_8Ohu5pbztF>Q*cd6rM6SjU;>W+l3byu35QeTLv z8ThtWX^K2NsuWl>sHaISQD+O99=8?r6^o-i5RX{HU7!B^lP20+>{LzBU!0WKC_O}o zj+(r&p371E+}v*i^9^=v@%OzCY23M>Va}sn*z;{4_jDNe?$Y)(A0sHeJu9Vip_1Jn zp^M>ZYdYUx9kL!nbx=bVJEfvQAqpyxGum1LGsU*X4Y^8=ewk_n;oh?y#J&o{|6$e)5h^*WMljdD7Jro2`F~AM~ReR~|e>cKA9G zt3>7&hdObCYRe2H-9 zJTS6EDd-Pf3k0(p?fY336tg-ekFg8!0H7a`%UKyutXvX(GWi4Nx&1_97|-WY`|s2h zW~iO6Y_IgY%wwT1rtj7xH!vGQgP{pem9y?JI#zqCN>%{dLcr088Um;iO(vH zZ=duxBMK!3@kj#2FPNm|leKC*2Mq;6AeCrSjjI*?M?i$$`KhktOPi}8C0gaS>~5r# zraLen+Jy?PrPJF7v6Bt^9&CIFxNVP(nj?Vr>()xb-8hUP%%IaH;?erNnPcnN8`m!%&GAhJNOvqW9%^B`NDG6MDcl=7)2Q={F+~w4 zJ>N#Zp|2klZX1N(L~6Z*IDJUgSK>PnOWsd{+xOM^fKI4IMm)Z`4?1?xX+g_WE@s@b z6wRH`h%{-S)u@F6ft~DF$=nv)rm$)utnRKZR*xQ+oK+n>GA<%)wdNZnIrUnyPSi*| zUps4-W?n#eS#EpBHcv;P!r&4x_Y12&IJ13RBM7CYaqZ$kO4WliUEd;$?(%cf>NoJs z2GQ+Li{+a(BBJBqg!1DhDjLM{LcCJ@fV!a?Imexd6f6)E249-`1e?6qCqwE{*K;lJ zik_H^F6vHN*YUGgcdg#zHEf^>O=xYwV7wxLpq|+H)^jSe~?DQ?BiN%VuTYOn8+*YSdndan}6Z0QS1} z0{wxKv@C&ijAmvZ?a09usE5Yogsu;dC$2N>!ae;8l7V#uS6BKR;jVDW{lg#WVo|jZt&&}PSVk&D*`;&1~ zSt*JI632mKL<*cnn}cN~8(lkcz?6zgmOrkCLBq_7?O;_v$SLYMr$}4H3%+1mR;ntR zN`2O-R-qOQsV}d#3*2bzY0322g`0AuUU#Wu0=Nil_zB}iKuqpS%cCoPRhaRu4h500 zo~d~5g^8dHc{S#faWs*#FGWJ+c3IhnDfa@+<6I7tP>rmuuU@F4d0{Ib7V+~uEnN?V zR&e3WdPJ!X4&o-(6$&UH!`{mV<0)1bHgu+#zKF-Ci1`acT&AsalzgQuNc59@Qk_kW z6$9Jq;s{TVk&J%L#zOhw)($y)n<1~2b*y8Pajyl1_SV1jWp5k5E`q5~4TNotY&A$t zcnxgRs2f#zha3=(1Z*}jgK|lX%725e?sB%|b4vY13PCz>xsCPh+<9BaA^Hy-eT$?s3(U{*B&ic~64%zkn-Q5lnaeN0 z@EH@PgXzV6HZPl|XY7=bFRjfBCU)JbR)`J@Zx#L|D+-Ge_8y^B$F=ZSy^$b&co+>N z>qR~^nAgw8Al^N7!727vukb%2xOK`ag6oiOy-xpP$)5)MAlomjvD%TxKqk-3?G4!D zJbL-DkYFb`GspRfHVf=q0kU_(s@dp$3wI8CZhPndt&>9a0zBy5Ct_E;z?-^f5gK(i z;dTVkYsVit!u>tbf1xs9Obo>X{&^7+TT<`rYFO()`iTGYUh(T5Fox)Ey<)Ncw-U)8 zgLankqj_tVCoJb{ZaYBI%?7gTDxMI1vqM!B{MDj!yoD45oS%#%1JMb5J75hePYo4T zme{3H!NN(VOuvu5T8U+pPK-h?EpqLre??f?Gq4qoYELDqGPhq(yn?{CnnHwHfS|@z zJ?`|U3LI)`|KUG;Zh?kbD3(zB0g#r+1QR(2hn*d#y19FL5crh~_ipf}@YY@n_WuDd zLD0TRXXp?%O`}#68(cL7N>F`fXNZSlO4p0Muyw{pBxz z`N=1rpi@Qb-nA0zM+}H6w1U2~o4~QdYkl>l%7nHz_j4Ybiz#pls+hN+)$}B^P|6Pu z>IQT$NQAbqfk+Y|DZ{E<5gS<~BB4rl`ksyUo00G1zPd5AlH+?l44>@uzBVK&44aJA z22+uGs#3{eWT%(=dI2_PLu$35Li2A(eDIGOuCe@y$(UdwrS;WyK0?GkPoVamnMFu1 zN2<1~frtv1O4Y{FX}{m!-s%Xe9|t64`#nnWD+R1bky6M{q4CWjB62#_hIe|1x;1=o z-J2kpUn!)9a%?)UMtGNS0Le((3 z_=&;TU?bOkWgl)h5(oU4k}Y4RcBYm&DI8>2CWux-;ilQz#0yb%qKX|QMpc;Gre|&k zdA+|Opr7!5l_Yd|WTnh-e9i>X-ga@*JoEbvB)uyAQDDG!?H*9d3b1bY1O6uH85-Mn zrfuTS4N9i(bBTe}AYdyZSBM3(4GS-GDHoD`His-8_y$2dk868SXL?${)k}xMeGJ!w z@&t$fF?ex4;jr4)|8BxP_5fhWTf+6P;+rQ=o`}fR)m63ozZ4&9oa^iBFTea!L=*vw zEvr(tzIyfQ<;#~}e);9=*RK^Z-`w2Tq2m)*44dJt2A64VWG4xFd=-;R12gM1 zh{HQY{K^o$JeY{oRVbzCoW{o=f4tl6l%HPBHw?N>(;KtteeT2l&Ai%{KoSvd3&E?@ zLNeeg+ez1#=6B>`qwftWhz_xfNIUFPSXAy?DmElRx>SZ*f3EgZ`~o0$v}>c_%)~nu zn;~e~R`UI)&GBfCgsy!mBDIuqR0Chi>39+nqUxyCdm|q7jNhkAWEV>m5QP-uSB@aw)iJw0w>-SfxLz|L`#Aqqq503de8_8j)Z_IGEOT(q@*#--wL)q>d)LO%} zRxN*S80cz4O|-B^w2x?haA+n7S}C6E(wBt56ZP#eeTxnkGU#n`iWt1eMSGo8l7__ zW@@>E=KK|F5t4Wvr+k>Q1&hl$JKr{l)S)HE;_d@@hCU|c8TxVUddXML)`6eq;CZ4H zsUx8~LchY@z>how;7#InR+N8xdwYF-tzT=c&z?QgLqA`?e(g|L$ID;7e5p*)1C@NO zJZ=~EvzFcg?q7upM>pcqvBTk@5frlfq9Bb{Yt?m1DnNctsBc2opFvz6afZmx{2|c+ zar9f@?Br~>|LTFDiyH1Ep)BH-(P zsn;u_u%P;oE&h`69~djuQ~$vZ>AAf=4b#U&YughdWmnu?YfYtdCWN!qtrX@`%FfY0 zYFlMmDSUT_1{eUPAS*motQuw*&RlXH`%ADBjZQH?R>qS_Jp;$wO$@t9D@K1R-M1)x`<5*PBBhgJy|?v72e zRbqbi0R7?DWTk%h7NyPOb-`?d{Px2(m#~deP!|IG&r9$t1-xR&YUhRvQQPd>!~rB$ z+BODi&L@*_;UY!G?(}|!DUtXRQQGv)6p_emL+3Ub_d+&^*e*|%Gue25dFC>M?2j16 z-aS!47$L0u2^uVu7ci^m5We2mvAO)y$^{J(g4C_#7QL5T$ zp?WmFo^|@_)vLqd@cjAnqurmXi2oPA_{HgT(iQ*u()~iRmec3EyF34??WCT7(x&0D zd;@GDG2`qX=@dmBFg_3Ke3hO#A)(R-CUktS}IbMrxYS4eNI1XQ6+_ zThp)G!R^R>vC$N9VzxYZ?}AA(481Qhb~a`jFis#K|DC4AzYerE()PZ;=?8}DZv;*g zr>oLKRu^&-`7dM0#RcLo4AX`tgZ_BFr=RwYYqR~(8ZTX+{lK44UoXhVb~UCC-@JbP z+V`v;k4MGKVOi8W2$#+PVC6T2I0v?%%Xo;$_dfe_7j0>s0U(ee@UG zNkuQv>#OmfKYy;!U#BvZ1GqPu$3XX&?@O!T*0-SvT@TYN9k)|2{Y-ai^Zwi}amCAe zYXk9q-xGmpCPYrs5IBG&O~JN@(5!cXgHYTnF!a;MAPt9DMy4vR<64u0kTUAAG7SLrhcc_q)?cl?b0sRfMjuuWFUs+dGwRW`6nd z)%Eq2=I__vdQ-c%vS_`5ZKHH3_x*jtVD1cA)jV=60{WLY^434TEQFbK%1Qw~o0ilC z64b6rXiQTGPnV>;+AFxyITGWqmpB91j%1cZ& zvM=W*qF1k8X=I1Q749H=m*E~ufRtjqvFwtz(P}?^`jm)Xym%oZAAIluSp&R&{kqor z)1Us-#btHt@MCF&hXpjHL2iQohmrLTV{c=3gs!fx_WQm1d^+~83Gs9z^*A4Qd${@< zZ9RgS-9k)EJHMOSM$vrTtmt^J!9pS;;o27!w2U-2X(t02TGHn}CzmPA*wxu#;T+-$r&K(9OxV|zenO%U8T!O$HF}a}VOTeUo^BjifDcL)p z$`}BZ2^jY>$0mc^no=so^OaiTNgBopw%Iur(ODNSMf6l(^aHKWOT*BXsZ)tu6X3e* z1e3?=s2#@%T5Y;w>EzgFF@0s;0*nbTlL{d>ufQ$^@s0nnA|zIN-@DA*20Hp;MspXK z+~F_`!OYY)FO~Ok9$*^KDow)*`Aq@bDmf$q#Is9D}k)Jab!k-)H8S6MryQBH?$iRo2X9FXBoKioD9~PSK4{m*SKS%V z1Iyt)Azk?|4S6)s+Gs>3D+nsw@I$SYY-tB`Q5QhV@Q%+72(@)A4!;bFF%cgQd~uZLnC4trk$M~3;_7eI__loNej}R!Tsh91S(=Q2PQaw zypCx5Lr3fJM^;1wq#0UcvGd!EK zniA@Jl#JDc98Ah={nb%~+x={7FRTxz_$XJ-h*{kolHbA;}M!_60nk(ieO4xNkEAKh$1} z@N-}ErNTcw*hWjiyMzVKjeN)R02es`uU@^<2eC2fX|D*J)xUn90yAG-U1<(t3u(Uf zt#1+0kAM7Q5%ClEQQ*83)F${owEClmAX_fkPL;0@^G^!+2pofAS3v70-8`qn_eDMbvIYm4ZD_)_}iKWeRgNd~j?oTyn&`z^KT`8)vZ zgoN48GbQSaNg9TwrUlxumt>2NNeJ+~t~n65++;V1HS=wmIGSjO_2~FCwPQL#db|dW zzh0jzCk1GQ*)Ff`Xb+p48*0sV!l{a*%);z8?n6MD*sgCND%${%wd>45tbUV(v;pRD98i zf1)M^!xhDBDA{#B+c81pZh!&npd19fGBgCis*1??b?^b$R`7!-M%M10Q7env1^~4E zwjrPu(D%di&;%Z5yWCZ1Ep8G%NNugO+l|hfG)mk`c@dIlqDfeoOQ(kw0ZZFDD?%i- zma?-g$hHB%PyFl|A?d9G*%EYAP3|DIf7-G`7*}w8VUo}p#(k?&_Yc}CK{&bqQ-Nqg zwv80{-FNz;A4cvQv>^;JA0q56et$#v5&;qgA7F}svcqt%;{44t^Gou%#G0?-gycEe z_SX>eLgF*@#5br;bL1&)0dKfA)UP9#DdS;JxyOd^09IT;eOunMD{ZLX zPH+(;s-w&*)m#DXMZPLuls>X?Vm525XFQVlDvnVV>%7|yCySAJ1<)3~A!q?Nu)n}d;I(B;4OXHiC4<^z5V=4m?(j6E zuCML1{?XJ`p58L1X)D7b87-aA2k`Q# zU5-nmO%dR|gMM#|?gO~{)cpY>yDdt2+Yu*;pEG5Z0y0LTS}yTjhp_BhFWli|7N;1q zYhDclBWugwda+dinz$dZ+spT7H%{F-v_EYsulYvS-c2_!idmZ_(SpQ;Gblda9>5lZ ziTq$;AlSSG!`~gow|z*Rb&UuKch6OrpSt{s%r7;-B7 ziECOiwHsgqA?bEQ1PV8zWqDhLRXb)w;}4mQq2fWdJqhNC6nbRO$9*lf{lVA@?h)y! zkD(O~hl6hQ6p_2TyWMW51L&H+z_wuIj1T;u<=EqfdpiK3wWjTdZ?rOaem^dHK@ll% zEpE*m!D_ z52j2+MC7#J?``!3F}wVjWFyurnao5WLUV>{_;?@ zA%E3!(!f}?^_5&~u zNE=cI4)yoJf`Fh_V~9zz&8YYTp}cezWjeu7F_9n7)0+Zdad!q(6u}Yl+F^}4E?2^e zt@n33#MW_mS729q%b`-Wg?3aG%r?&S-r*!M@Ymd*zMhVJ2*3S{E!O=-s1Dl*eXA=# zYxNw&V7&g%YympHuCsgwpe68p#AgAz8en{7des?^r~Q~X5ThSXJ&#gE=LUs|q*hgx zUxSeG(>5+#8PE;vdm#|tFwHBNh<5e?mVFzROg~MNxKYlSWSZedxt_KBhgUPfSxm9_{qOw6>}!THG1w;JxZ2jG&f{@~nD@`4m%oSe^v zI_MDt%8;HL<-JIkIiVO8yTa_O^38p3qYpnIlv4D-5M1zMLu<`&f;wo%yqy;c8&VxX zH{7gNk(rsR^phW3XuEZr`=Dl67ZE71Y}T5&O&t)CwC$cEqUVn~cw{p3FC?OeP&P24 z!>>eCrMC4CQc3!<-HvMj33Oy8S`YUJ2&y12%!fiqfg4 zcJ;y%l4M2RXi*d$Dirs5`sXLDcwAZ8u4*DFpI*yKy zK7&towOaIM9T^M!(+=lwS*zZ>nSgopt9Q&`y12QcLNusBXP0>o6|?(4e~sjWt}~tlL38%n8`6WfTCh zNd{bD3qG7JZEOv~#8lcZJ1T&6u3)#5uf;ZiM~4xP7cWl|l*Tme2AvNmaTPYq=(dHO zes#h!D#f2G*oxT(1dnGzI0h99{t_RE2A#m*W`v?cp-A%vc?e53Dw2P$(3<~6yhrK& zEMx-NQ8~f(h1yAi^%+xzXB?XjG;49k<57qCLrh0~8uVa#4T=eML>SMhcOu0+idU~* zJ$?EV+iqifUDBGOg(Ip8TqmjpbSM?R%>cN=$2J7}$tRz9 zDgXB0{#$=W9r2g{>;D(tYq+_2HKqT@fBSQPHe1^4sYCtUu8`lL(;8Taxip*FG#%Og zR}!BKXzKyEEvM)v@{f9QjTgm&TZICFt zUFrUhAw}Oo?j^#%U1DpkRHz7v6vxn`LT}zeTJzd)88j2S7||rK4JZ%h37eqhGukr! z+ZotUVReuT_C}jb0jBQ~A%pZDnS9TBDyVbb9dw8O$Qc!lYFk*%=O7Uw*tlY}Ir4?_ zx?jNkod|Ow=WUyr6ZXY2%0sr(akPk09?96m?cdI9F{xIKVpm3h;F?oFrgKcsG$ye* z3T$o!1s!6^p;#MdC`P07Jxkbae3Ha_lh}ZWGJ%POS*i$&lv;N4lR7^6`04chDr6h_ zurLK%_;p&)6!%Pnj97d-KAJ@YHvvC{%%@*h6t4Id0B8n+;W<34DBLJ0=-3=5fYf{C ziRd45Luzv=p2>D~ut90zx@^-)V_RQR$|_E-OUN_R6Oy>3En) zn4w?)N-&m>r@fOINzW+9a>6U1+JGd?n_nQH@ux~s#6K{#B zJUvS3ZyvHzBO+#g^5ls=tB2!X^{Ovdpxz&*%I@vfQAY}Gv`sB#+xDtw02xtL9Jf)! z=8n8rZ2Y~gwm0l(qpW?Duo9_nBSFtHuIZO5fWpY{QVociOzepE?(V4D zSoNNT(sn-(lx4+$51?<{Z#Hz;aWs>z&C-?5WX{H*1Rc^g2{gXhUo8X&&qdp{@TjV| zXYRrzQcoxCt?K1^t|LlN7cre}pgEgvC7mtM9$u8T}k-Z+Q|EUO!+_E17%Ey;| zVNz$X?=I=!+n|qOM-VhuQi7E&g++8{2!&l7*aY5EMuus>(!n#TMC$G9V%}D0sqrYg zV*Y9C9OGDZFs`)QwQS7_>R+~)%(nHV^++IW!1sg8Np?1;f%5)Wg4@xte&0P}_4PD9 zD*$JXQK z4YPa1tZUq%EML;B{(xOhs~3d<#Op00dW??)B6Ew2t^4;uYc5np6SR`-Qv;=H<^`!G zsZ?8PwsF0thT3U>9SA5S65E{EU>!H6inNsp?$sDhDrM&=j@j3BIKRaQB#)<~4;h|L zRYX1hcHW|$3gzrnh$f}<+W?euJKeIaYtWZ$rvV6csA$Njyy$pdSly=hSF#lzGtt+GM!A3!tP zkoKVQMgnMT7Xmq%@+w0(EG`RDNQ(`+auueLG5^3oFCCxt!EVB#TB{z??`H)0nJ#{F zutIs=_)B)kOG|ws#d5psKbkuzA?v89OUu!@{ z<-0SKIwBPxus5IIBN!r+1Lq3`bB3}Vl~ z6l=c(9mtx>A%5Q)5U?rxOQT#`zj428i0@nMrMDvq=@kk_te#U`glZ)1{S6sTxdED* z7&KuyZN_c+Isf!RH|RVY0jY92r}<22n8wH6eK{Hlq@JY&p9MmQ?7y#(=4vdnj^qbIWbgumegx zYu{OFi&Ml6T+fht)rU3^(zQQCZNZiMUETMgrHb^O_#(A=5gJ>&w1RmBsZQtVR232H1QElgUT6qrYS$~+IAd!XhnUU1 z(g=pHosqsPll+52HwRqe@QX&tv8HGaVY<@EN+zFg=$K20SQkJu3)y0Cgl0Cz>+T|1 z^+B3gizWy6N{_9o6r-@}KuIgNR{I2;glBUH+1&$Yer|={xE;wwU&80U0o;?c0sD@s ziCA>VzACscT&kSR2XhfaRBuGG`7>4pB58YUyv-(9vrpf^6pxMzwEgkY8@eMc8MV{M z2!bVCjiBxXq5x3$OdazJ5;d;p_kWWTZ$i;rEU_cPs40e_B-?_lmGL!5&39_dZH2&k zKZg-*o`v06>4{ot0#Zy(AGOnueI$ZJs`Nvjz6K#cQZ&aa0~CCK0LU;xE@&f6LDl6| zIQw-9&9VAZC>fHR^+`OdfJ`t$#PqqWpp>>t2|rh8c!iNx*u&q1T7<{}_j?iz!6!j7 zLY^UcUfhC|_}^(QR$-MSvjy2W<&Q%MbPW8mSFEX@=r3^4i`MRRI$d2|-QC^k`&#Ss z=g;*{0I}2UG^@M2yX)&~A0yVZVtYr=R{Raa108_vCdqW4m32>r4XJP5@xiE<2d4^U z1rMw8H#7<&!_-gKiTdo9QB&$;q?q(RVOJbXGjUr>K)TYv`N~90QcoSuH?*o`D|~Sy z-RmTMc)PV8w9V`+6*+25>nyx{PgF z@j;uLJLWi>+N}}9;FuA2QSS~xL!~~p(FEV1zfTL0w4*=CfHE2hgI_(*F5XVL*rFy) zF5+ojY`W-L=(4}kIVMW%EhT6Ql;o++f4N&yPbglk#Iw6uqLdA&xzUQ&+I5IaoNzKxMhfY0|dwZJ8v60 zw;o|Vsyhpf4aOVWcnzht|FhN77Z>%C+NK~Msc$`uh}xKil|}vZg6N+SF%@AOK42Xg zF$Ol`-uG}h&ZY%MyfE9d9>rPozwU8;xeKDS`@+NkEf9!jych_}pQa?O{EhH3<9iKw z2@-<-Om?m;V#>@DtS^ESd^v?8i0K1WxfEn|rUZwyIr%^SDG*H1M#voG-jwVWZJ}OR zC{|WroStEIv={9^-3{=BVbicK?76zS+U<6_WmL}v(iJhfebiB6DaBW{yn`b_-}MgK zOZ3rHINlmXj}uSBn{7)Bn7n24U@)OS?C%=pSDsWFC|&_EN~&(FKtFCSYn^ zrk~FM-GK~Bc7LW%f;d&=EziC|LK-e)wi7m?bggmQFYDL9xp>#wnohbe(TJ$h4zX5y zP<5!-fOvO@&5^Tdl7?y>)jO{Bz3|p2aD%;eRcZc)c}?bLH9x9V)x=qsq8VceXd@f> z*Bp#CUo3APr+#-Qs-+PH=YFbYYlP+#b=}1-)b^JMQke^2({{GQ0aBS%BelJ2XkpF4 zF!q9|IH_%qQJSlcnxxzTI+)vtc#oV~rhrNn4v);$CI-nU24$oFv5wI^Sl_y1U7 z<4`Jp&@-WE9R9~>-j@E?-(Y<)$zS}%U(m>hCO!Q5z3AWXRk*1w@o$IQd4D$XHM`qR z1?^ski7yNZmNM!K9je4uHGmjElG@c$$anCz*d#u@rwcjMG$WF?&L=kLr%1m+u8!9Y z-$)d){`$8_vO~wAf|awQq`@u=BqY8Afns+YdzK4d%^APosI$9a%0hS zWw)bt;F7^2A5kW%rJLIIOG66oCy;+ni*fN=swxdfA(pi($lGtQIGQ+kvR2(+lL| ziA03k#nMc*77^j%Yu-AvRe7-PY+`OW+ifs2w>#quu2-9&@YOU1$y+;`pQ4O{87gRC zO{f5!3)>jKR=|#jV!KKYfrUW}730FKswQK|T5eyO^e91nV#rAG4v3(>pBEe%-)VCMp%-C7u((_+GD5g7|k^Iy?6P2vcNnM35u15zFk_B1|{ zfpN~h6zqnZ(0>)p-(zt2fot6HHrY(c6wYE(Qt}D{Z!z->X#yJqLskN|qBf+>f7%ktB$MhO4U($-4Kjr9gj!FvF-rSxQ;`2aw3)st?#*^ zz$1}(D(ho~w>|@a!u{Y(a%;U;f#GCNmlzs5+eUx5FuWlHce`S+xNm1{NR$hgwu-|{ zxTYc^CId|heHhS`Vm z7>=+3#cF@WHbIg*Biy!2wpj(!uzs$;Rb3mA`_;43wkL>4t#@jXNT?J(R^s7IfK#n) zb46(zotcSt`y!&l;?5z%?}~d2{}pZ*r-68Qfephn&PsE`9GkMQmf#kH#xY}};av1C z8#dFzRA5M&WH^ylpdDLlIuvd=s|_A&7FAbw`Eiq88I8W*@7vud{c^Te7iNc*Ha}(U zTdZtVoYub_tufiEq$aCYbudUBX8Ry+WoD*Y26>e>pG+y#PO5ER+nj(7 z!m|%`5BJd;-1cU%6*5$O$&0vXl5b@fupi`t)Fi*v+?{%1t#Th}{F2&LLDJb3;Z~WJ9Ph zdD66#mc>*UVJe){_=vxA5eWC47+;O!7GFmX!-GHTU0|NMa^5!$J7L(wA*_1G z*_Zg+F(|qKM?`$r9?+w>!mk zD+!QEaylJ#E3maS7cR$oYPTq{!&=8K>RvQ-Vt5t!_PNdh1?^=k}KS@o&&uYF-6 zTbk`0p>{)qcnl`4?KmcCY5H*KFk5OQb{N`Z#vMfSaO|34eIrE0F1js5A}m5=M>jFG z3lrEnPU{!eWn6ZM!I-tJDaNke=@2k3jA%E09cK0@jqSGJhlgF=!fmY-iCyfVgV~j( z$)NSwE|21~Y1G=zV5QyqY^#6_4SQK8Bz;8FF|oG>wf-UM^H!0av~#S-?Z4u3WXJIO z@}Rzd*M9hHolB2(6615n?9@6AyIZ5V7M0n`rfCe6iwUH+t&ou4Cv6RDvS$mc3KdtJ zy8Xo+R1gLyl~p-d78S-Tgs3o^H^J^Zph^?c)5%(H-oM_ug?__;FsSRDOr&aKF$xtM;J{brZwB@YT zyu>^eFy#Y}*nJv5zeichyqZ=V-($r+bEhOXUp4`uo1l>USG~2yGd~`Wx?Vrkl;g^TEI0Jx<`ru6X zYvKbC(W_Ulo<4m_BdX9(s8TQKLXS>c=mXp^x~)ZN3)A~xxm$FjMhf?7elz-JE!&D^ z2RsJm*w!e=BiN~fZ?*o0kEElD=2RHeXR;lx#Of)i8)F0Q%+*dm6gxVd?P@K9)*^a2 z0O;6k4#hU{i1^F{vu{Z@e0w?_9UAvCsg_a-SK>k)y%E{iYCAC47gRt~H&ATD(m;~y zAS2dW(U{2Hj{>|;j%CG=9Qolf((l1S_hg<B0Dldl|4*_z+jRU#@o*5P*F>MJK<>qkXxyl!ByreG5vfz@&3f?{5Sa|vk(NP^8#u{XBv-(L7e zSn`b{EjN=rb56u=!);54Y!rZO!IiihBdj$(-SKW1Tg$^RP8d-|x|8K5Vi=3zb^^8bj#|mP|IBW6V;SdAH-^@$|KD z05oKqlF?r1I|zV6!fcVZZS;mwL%4QHMIJF=R|@opzUD6jx~0TMjJ%O&C^~!+Tjb+= zf^&rJmI_>D2$&?~Fy)CS#QgCg)MyHw1GP>G*2t^rW#K79%swYS1kA@1hFW0lrj73F zH86kw85W=8NJ_0$ul>S<@BO?WHXN^TLR|vSN~Z|KoIs7E&v?1*s^X6o9?b#3{R-&U zzJC3htex;Z%Eap80~F%7vHs~z0@l}`@9yq`4@aZ(Z8)jV0N@^g%o7dBx7|Irg&g*! z>h)N}?t!>O+kH;Z9)!wm)BGYzjl^$qXsbMwSP-~dM9gc?Ub@Ofm#g3VDk7wm7 zdJV0#JB7snIFr=2FyK@xvm8$+Vr{P~LZ{P_nV3%^MbG~^*^*6fcjbS<`w$w&Wpkg} zA|~;D5X{XT>bxY|@NBKAe^?A_HjIn=q8(JS9)m-8*dv>Zpd+14CQIQ`STCS88RfDo zY;GjmD)1&9(U!9d2DKT2u2I`1YouDTTL(6PTW!0A5!5quM-k9`YiQp(Ox?rKDx}AW??$;w`Arfw9Qi&T&c|uvNxF)>XxG&#Z-J6&3l;_AnxQEgL;4I4d$!lg^8uG=j7;ls8p9vc5H3= zxHJu+Rmi#1IOj~}#@BXZG_goKJvQJI7a0F3wv~p7^d4kWU)@_!MjGBXEmVlKeYnje zlwA>#!@dyF$wn#O!!YCUJWfDq`5}Ya5H`MIXT%KsQ^0EX4H@=rP_;se+f|?$y3O$s zuOlqZ(Qs?;*=XS_KKrthkR0J=_!$5RjrEYBSaO464qk;7149GRtcm?i zXq0K3%sN~MM9{c72%MgbB|6qWolbgcr&r1k10~zT=>=(f9S#S-DNIH;K<^CpO9?zJ zV#3Ed9q1jM0<_()e#1iUW;9d8E-Me#dKZS>zL0gjvTI|-rO-}q-ZIPAk^Qg*K>zp* z0g+y$Wh;fnR>&J1^FiNk?i(`bED^^m4#;qOCpWO$P*%gF4Me%ep@6Pk4j@ts@!%=5 z9r@E-22m(x<+QGEtEF9|DZ%O?7~WD>?ReBQ#;ArtZ9u%i1)nR}?ZjcR2o*bh(DARL zO5-sF6<0b^q}D9luSSqzn6iiB!<@Q~!hJ9%^5yCVCIKF~ZLrM>Z7nu4GZ)sQBtZm- z?NQJAAsV*9aB~|98;?5h>x-&IQ&GFKwphJ%BTe;~2H?1Rh~NhF?$wvpFi2=-5z0!oF~y!#?# zty}zfrLSAaFfl)5tF(c%rrF+?3?v{t=a8WxzTd#pD*_yGZj=%dUXpo+$ewn3h`v+e z4}q{tigw~@M6Lv84xzt{&P*Pq?ba$a3c3NAT?oNLEi_?1VI?<8&M-9nh9G4h0IT3x zbx;C7@n}w`Srh8+HQy(o!F>QqlB|0J^Z^F4V@%HwZyFBF+3pt)2=DqB(2elub^FQ# zwjzobZbEnR+LZzWY-<0d-8^_b^Uk8Q;FvZqXyJMiC zfm0%)w&&F58<@>`z@Fdku@YOoT&qac#Wc;X50Kw(0`>x>AwZ`T6{rn|Hy5L}?Tl?0 zUVCiIx7&JY_@nH~j&`?q$K7ssSMQkURI82v>tgO&Plv;Pf7rizd8fNRm1e2JJ72P_ z&C*S_fyA`HBAEjM~t#%4e#4xojkwBwVUBW!sZ+HSct2AdDla%i4|3eB*H z6y-?An;Z0VtOm_wx!IdiL_I#m)_xy?5g&AA&jEY`_h$fuD!Bs?M9#34(vIz?cBX3M zj5)Y{m|RP&ZKHNOEVZ=LSe@(L`SnQ{>fTd7M2m>Tj@>sP3gEn<|F-l+FL^L!GE}6U zMAR{c7%c8yLCcKA*VcDdTKP_gHKo0`4!{oCRSZmw`b*=uZy{3GNH>J*E0a*cCUF_& z=2{4=OC`1=VnF@+Tki$e!>QN=l?%ur>5M@KF+NaXLaf~n_76bUklt)2X3Shvy%njo zT`BNB&j4sZWP<^r(stUAYK6M)i&3UooeeojKzJEDVp$n>Us8m>&vnFXGiY1I30Qyn zu!7yW7J-v^nhnMe2pB>6My>rWra|2&KPR&;6Cb!I5OOuQW#hhIQAlvv59rA*!(O_3 z0^anTTpEpYJRYyFuf?1$pO!hDDiP_a{~EMu4u^xg1b(v9@p!zty7D*#!tgf2d*lH8 z#s}{<_fnCMQ!cd$eg*jLgmycTzC}~pXybEkocr>gh6=R`LW6X3Q(g4;cRi zkCVcaQG|vYlG_0%GxflZMy<*0dL~Wp3?^&yHm$;C$J)581NmIat_h2Q?6TVxX5Q_} z;7N9Iv;V8d2LMakftlNG0;5BfrVW0G$jUb!KtEy_<4+&U7sY$sjx^2(8%?BZcMv#Q zbxI*=_mQ>OBFv;G{t0+lE$ByxK+B4ooGQX1 zg}G{$(CFtm&ea|%|o!LK57Yx|XFod+T|1H*m%Z*Xr! zh`F9BE;IXj1%@&HV2q{!F(b|uI9r*vp%W(D=`S<3z9b+F#pHp=?Z)z&UeczkI0)a* z<`Y1qjKSY*6C7ac29cnmTR;Wt6?ZoJUnIlJni7UNtm+uNg%!ae&i|jie_4_wNwPyh zW)U@W_lU@>tg7zYKof=tLm&{{`2hUMC7NHHAGlk50H`;Z-e3Wuxp)kKZdB(xBHYbX zglBP>kFbiWSw?1c4=STvD$B!6O;jE%ufr_-_{q69Jvp3gd~r`S+ui`vt2@6Ek>@_b zEI7yT>b;*%r*&QFGRVwI(bj~V1Ak%$GY=%i>avDU*#=I&<(U4LrGGRA;Cj6tKL4A) z`J10r&Mm+G4-XHA&mSKje^&WFH~m~)t8A-q%WmQQ`}h3(|M=hkD*ZBO*w*L6cdysW z;q&w9cqo^pbPG2&3`JXXqy95cKSicPY-Z#KEFFgu=OmGhh`7oQ@r~o{t1G(uby zy9?CoT^ork2IszoUVl*!YXFql`w$qjEg?HpZmkmBh?$rfu$BymzQTCey4Gz*UD0h0pEM~&BP;Z+36HPFft+oAO*SljPZj+ zbXBgDi#ovV#;c1#UEP*4GZP}>u2+gWKOkfb$P%h*67X{ubI?EhS;njhux>-2o+Xiy zb1uc)w<)=TguHeK*aTl_TP{F;l45t7`TfD}eyR zKs>)}OIL&IeKDS^Ma7DEAh{Ukfd2mW3<5&r9~x_EUI+VxhL!@x5|Qly?jwVO`HO@;kBP@@z(gg- z;FBk~Xo;`B>_?t_)sw1HjSCz_By@5BD&yWMI%j?thWTxrDrdvpTdMl6VVK4Frq`d~zVejOK{(JhOJQ^S>FMQLt?gzX@8>N@P9cC7n2Idl9$3~?{YgXZz(O0<8l>(5u+x3bFe1EtH z$)sfLki&qb#4iN8#9f{vBmz|vQK_oSvY@(J3ZezoQrFhH^`$PSr9hA_T}vtF^CD_R z3*8f0sD@i`7y?6KRdZ)A=md!q{0y!Uy7q$B8r=3cG_x46fM{+C08uHnBmbi%*?ORN zrED~PIEe`C2-yb@7FP^|D+s&rJjZqin>su?|k4^Mo}YgFvDQg=fw~XzHI>B92bn(n%}|6ROXTQL}Uz;EF&S&3KcDEkOin zX(YL>^VyvEH*{RdN}6wHqrE0$pfYEb_1PTsXAn@-FG6Fc3GPBw#Di~>Fr(4Y0rT?P z4%Yly(jjU@BFdRw*>`gfswM=PpJZHhNU=S}J#5CE+V}08^6X!^13+(mkZspK1%1jV z%oD=sOsI*T`@;8KI~)SrinrCBfDfxys<>of^YmdV;gD8r#!r%EqTZf9KS{B}p}a++ z!_snhIQ=GVAAA_zJ9f%W^!kt3z`*M$WL;O=+D}^qw57X35S5{F_O4$hp#P6$`^)so z0DR_2J@RN=v{U9+$OL%KfIA^t!@}4exC5+(){hZaDW9@l_~{txzR4}n2qLE8ic*Ik zNyPsm2f-!kNY+A%Uy7P(USGAA9wPI=h%zMV5@@jV9fb z1bY>{l~VHoM$r;V?HpV8F=JM|CqWQ10~$(W8RN&X#Iz~-03c|Vgxy2OMyx0w4unS> z7I67)GJ}LxMqpVsV3Zb+eZmS`y|IAr>953P4CrYD;_OINIxzTB4{!H2LW* zyj9&H24&UzxAr)4&$R5RaUcEfA#VnhQ{i`bq=_HccQChVPfxy^z1K7G>z%P?vk!lr zvQ1sfUm^M4ckr;BeV!@veMat9$#<%rUMF$zoVuy(f`tut4(w%S%d#LiK#3?z3<9w2 zPTsEJ``-r$`Y+I?p+_Jp*+NI?u!Fxiy)powc?x_P2puP6oYiIoC|S)}DB%{N{t4kA zpbce#B12tZfYK;8fOVYffo3GmO;d3*npHVbOu@sMMZ3FS0W{W`Knn_ZM{Pgu-39H zby@1A+uOJAPN#)>HMN$ygfkTf=D=nqV%`FifSlfx=zVJ2z}5Z}P-y-#%?0!=PT+W= zqD4H`bJ2l-5XQI`N8zz8iieI0_zO4`@KHAZI{eaLDJ1F#*?eNf-Z&i+Lze-!py^4a8ZB_AV;s9w~jghbg&=n)aB2J@~6y zXzAg1YYFo!VLcXXYke#+P_IA%9p80WkZXMDB8oU!nFRh3%KQ@3$8Dc^YZI9{JGiW| z9wSznGYH%yyd!iT74&CEu;SBh;T5EbG$k{SnCzREYKl@!FQ~qVbOZfW=+sC;mJwS| zf6QjkiheLowczS2xa+&#IW*!dvK6O01 z+GK%QwdNKa-&5=kL1ahssZ%7^PqGU8Ax3L)tTW>8Lc~d08}#fzau!&CDh;D$G86?;y}YF8CI?ExafwnLpaU; zs|#oewFi+9&MAPQ#)WrBg*f!?Gc$-3#IC#j%ISfqG z6tltxAWdbmF4^hx3{GJ12^Q1L=mx6$_0;BQ!AY%T)qvlHEEF+xK;vZd0=6j@P8svh z-*VVo;=;x`3$SKY&3I##PFDXggiMK9GF4xPj^TrRZ>cX1=|g!(ogMcc1g}jPKjziYCt|OKuQ7+BZ5xYY z{vHoXDP~O#?!SHoX%ELIBzhlz@7aTlIPW9EJ=nFaMEs9Wd)T*c!~N=R{d$8v-EbNc zPTfDbm4TmgnsRE21~m=Y9W+er%R(~r&kz=0r>b*fWJlhqx(PJrw{kfdUhgT8+nlT3 zckOTpa!aO)4qrSZ;Pe)|lR4D*y;8Gz3_Y53O(94W4-Z^ZsQjR#h9Ipk0RL0SB?T{2URl8$a6Eacuh z9wrqZ)-I|=tPj1RD9%C%9=8!@JgRGf!aSGy=sdogFEH2ruxY0d=To>ifioq<@L?Wfn~?-R*<09jhu5sE;-62-`9K_x%P7>a7>M!3A+njt z@QVYcEx)xXZ$k)8ZI%t%9vK6;2jEUc#TCJT_!c-G(0qzfAaP!LKO!gd=jzidGH9zK zWBRJORjH7?6{RM|K5&Rs{*+Tj?RylZN!@u5^+^ByEBWhvvK#`JpM_@jz%DoYRv&+I zq<#`F-gztIU_Sr!xv?LJPi&st2&K9Qi%gRN0Js7m&O`8RDg9)_4vCOeXbxu`zvjTV z`%$<>>Q5ostuiIell_F3EhXv0eF~12sS58vr_-s{3J#(74h11(AO-l!e)8iUz|697 zaP}bdkCI*)fX_C$iR(DKLqms5ZSpRoX`8?s)Y!n!>I{LhtZ}Dq1Cjs)Kl zWM?rsyNIirSP0l4C&kH4hbHKT2U|5qqLvhzWC!3htUP6GZ5ogrINnw91y;gE`?Uk6 zbfX@Es3FEj6Vuk4nUz|NzB{GWTCeLWs!vZ(u}NqGg>lJfU;*IHU5Hh<&Wl?d7#ls{ zN&@k&_@v<&h+ti$ixia}`X$a_L?NXV8`jq$L-miMr38i&ij6d>TMXI7m=mH@S|JCL zhIV(B&?*(qg?GY&+E29tSQ1pty zF-?sbLmyXoK_=szG_zq>9jecvRqOm~R(i8C#imS4~4pQMJkI`6i*ocrmp%XttFOPgBA zs2O%xr;p(M={NnFU)j$_Hi-;?ssVye|&mn06yn5EgqBP4@FFRF_pkF1D?lO zX9)|4Wp|!RZX#r!TcAgnX5tQKgd9bZ2?Hfsvi&zYYtCKg7$&Mt@+cWiFO#H3qK zVt%I*(N&2sV5Mp;JT^qaNvNunl4Pz)?rXFR8Ft$wyb+^IuncJ=jXQ84uaLVEp9S*c zbXK1!=!&IEEWP5@aWX^+Mbt|8@=w|PMYGM{+|G26^!c<%|0r~aM8=hiw_IarMo|T0 z4}})z5>-T6YZjbd@WZi4gY$_Du$l1*Kh6m=m=EJFiz9C`rdJxiv7UVc(O9}R>WdZQ z-6Z9L(b?GTsLn)6xZB7?68FbDgBfrhWSARkl(Q)}7=knyy8TJm;PgE@Ov4|aoWASP zOk?oLsgPe^+P6HzdOqBvy2A{I=@4Mus-1cG(=G7*lNIfsXKekm5cWineUrv1@@XHY zhip<7dmnb>KH#2OrAbenEhqY?3!qX8v`{8=&Ke^gPN)9K9**Ck82-|yzQsKN+dS2q zNB?l>_Ye1T%#N6u!<4h-kE$wF2rRXTNUgQEZq~b59Bpo%7*Hg;zu)aI zvPJ5WLg^4#a=FUpC!pG~00;OZ91ZwGIVS%DE>TBMA~FpArqeg9Z#U(q#tc|*V^weW zFS9-nf{L{8o(T@e%v5A;P2fVlsJjnR?Ol57kO8!{Y0-6UwF*rOTkop6)FKLXly1Fs z)kP(w&tVuUB5+Np@cyoXkiEsXl48!kfQDD|m-CLqEEPBS`39SW0)&%TAhfHN$Ck^IjGdng@E!Z5+hf$+!KW`ZW zi3!Gn6Q|+$(#JIP+c204Pnr`CGZ5@hRE98l^$hP&qT_ktoi0PC@g081oY)X!@Lo#Ys6rF!Su6T$;uX zNWIA+Q{XN$Q}lm*`V?>nJfD(oVfX#>`#iwUDu3V3Lj=j! zr)>G*9)rqmEN-zwxjXzYp?_fRk`k6FM9#pk*~Wk=GXS7<^}`C)Yv&G%`~1jcT2U@b6_H@9}0KM3VpYlR@643&h6KTG)Hi!W5QwT8F>t+fvy zK8VQWazU{)9>D8}41l`e-5=hBuGg!o;%0zdxYP0b>6HQaY*X)s|D}aQ-!X+VSwt-9 z-x5jqc^Bx~`GEvjL=xE2tltqyQ-;mK3S=>k&Hz|SF``CoW4&2ynuGt?Bz*61^}pFo zB=0aXmbw`L&~U41(aWu4wl)Yi3KuUEnD*|8V&)9D1s%FD~kn>SD0 zteRXe&svvS>r$&~nES$8KWJi9qt{Xj1g-EZ+S@?>&X#m=4k0H{tJPWq=2KN`t($4| z+kGpEhzCe;A#hx4*ib_(rGSGerGP7dWFqY|V?QM98k|75s#F!-S&(dZDdZGFa6H2Z z1U&**>zHj3;PYaP)5C;R@mjV%$>3SWixx9daz!>S1bBFKN#UxZP^joDC%a;7 z%2;LN-bhBt62BrZ8&nWIAR-Wpv(bUKV@P>kico_{OnTL!rzA1o;=3~vr8qZ;NW)~i z%?3voTZUK&OJ<~)>MPo3I--B*`Mnrpc~I=S#YbUtKGGQ+@MQAoC<$bx^3djMPlWLKe* z9QjkTKhLq8kO4Jj`vKWbvp+JuG60`#8c;8s-m8SgD^Ntpw1|4tHbVWt;EwLY5lIF* z@yBd_>IWw33B?uc3!_RCLXe@%kV?s0i5PbS7gzXV?m+9kw|F>qkRJa2DdEWXnP`ZK z7>)J2ZR=T`>`>wU- z3jN(g&AQRIOcqS4$E;NoDb<16*m%{7NZ2h{DJCMdKpDx)=(zY%k#5xa1fWJ|+?D5$ zkNP%LN=@X~Qj{*zW5>z+&YlM-!2pm?@W0%j<4qYeE;Ok|1-PBi^i^em?9J9^`9r{b ze}Zv~w?ckR1Q@fx9IE!wQw^9c7OtS_&RL^7mZx*fXc5ati=V~nj|0Ca5x$Lq(^!Ze zt1b>I6Y@~%KB>qa@Fs_+KIgWGq+oBO(_kA^15B$3LI)(#J@In%V-VEU`oP&_Rvtz( z7Ofq>2G=t*b_mde6Y(~AhjeI{jYBz%&Ij}9oWMxa#5+7A^Zel0=`N4A#M0Ld{>T3Z zq&TYTvq*>N|5j%1*!*idgu2IA%*GP-#b%!2u!KER@hSac?T2sODKkIWW7GV3>VD3{ zjd!2tu)0H-JN-lqszZ}dLcuu7t9#nY+~_SG|6~6=gAw_G#sDa z>#4MfygAR5fuG3(?5oH<&8?jjoR|UhthFLW7~egg&*$^`>FMcuy?*%cfxW~%3`&OV zKXXdw^Z9f-fd@byxE2kCqF)Zm@x~`>EGiz-@S9cJ6eP=i%rO4yfk1` zKGE^F1PJ4QKtY-YI^HH8HS&RJrV;8}(sK#cQ3jUGz%EU?O;sk6v7F8p;Zb!w&2utO z)clf#UVa=Nd5sK>B}($9Sd~(b(1tMiky)*6V+NZjEtw5FJ^`~ z&1TlEigfkUt*cbgSa?QO1pn87`bsWEeF^$0IH0vplr(t;5Z{a!YVzGg`SJmd3;=H; z?tE5Jz9fh*iW@4VhE{pb!R{xzlvk51{%Pt0%! z&F|~_$)E0%_a}*ezdJvx%&D9VL$ltCY&oAp2s>q#M7KLN=C?kj3s@omi@=MpPt}N2 zl^xm;!gBa{3Ba#xz|@SxR%Igeod(&^(|N-@s`gfuC*-Wk{n2VEJRxD+BNuCU@^+&H;?og=4Oe z5wK(fAaM%D+3X(!r;E@WE`hA!5@ieHQ+Xm|Ip+i40&>{#**i|xv4@HTz8_^^XGz;p zfG}NG+zCkQJpjBk=*rkAVH9pADsb%&GK%!py5Jh1d-O5ukj-0b&i!B4tBCa8*R`q2 z$B)ma)2Vkmooes>v@EK+Ue{V`5vf((OxI&=q0$aFoo*?ugDOf{xQUu}V5kziv!t;k zc()i6clw#{Ne8|Y@!f~+ED5I6t5$UhF?a1iXXcPgHKQ=Ve>(!`W6(nJY%pnQ#_X8~ z|0SVGiHVBcJm?l9x|>G1iukH%$z~75T-HGIyF$iFAzT)&hzb3B6D^e)uPFRbxwo9e zpqOk!IAb__N6b5R*-e(+0LFr!;J(TvWorl(!((teK@=E10m%C6L-N z>0Dpm7#Bh^4`Ad91Yvi>O#rdJ`UQ!S?aVIA-4m#PAgl>4X3W21rh>$`&?Jm&6WOWy z2d}b2|65LSgMrL!UAu^A`5cbaKc1PngZ}?f3MZo4|C)i|E!>|0+^4kpu<$AK9-Hp* zYkmbYduqmnR`;LxwNJlJa2Ak}g8xzq7ywCVJ{LPRFT20ocR_Zmz>XL{;^TcSd}X5B zEwbNg?KJ57%!l-up77nN3%N`-a_UZQ46FiF7376iQ2xZ>_*ehxUrE>i{NWFOFth9R z%F)R*LG9=BxkuQ6)9EBJE)*aYyj!NK5R)KC$?=B+FKn^1n(B7$B&`uXH=HTTEj$$pWBD7mk$!*=RVO&JG zzZ(6~5Gwd|rN+Lcorc_qjXMMb-F*7R8yvDR&De~XbsLx?Kb4sR|p~}3t+gLWW)9qO%Ej$grx|no7Epd!7AOmm zCSW0^SF)R+{N&EWzMozhfX^_swLz%d)81j?QZ(*ZIuKkOhvR$5`U50#CT1))eILi@ z<|iZm7a^KQi@b)uUGQmB6A4^n1{@hE!R5yT&G+8L##>^7Ei*35^5(+*PR!tb-{T4N zZoLni${?XwM+g8YNo#9;ZLSgCyR~auPBnT2`K!BbJfBak_2=i8$H#|my_j6DU8IUg zQLUx8&%_Y>cU%sHu1Lr@{h|hAWZ=qlFkK|DyL<25g8Tv72OFizsURX!RN$u)a5LXs zme8=qk6Bvne+!*~8ZCfjh;@aGfoz`mP>&hsml%$2IZe3HrAmVbbr>I)0AMRM)yesm z3XJl>NG0?i4WsQVYr#w&5S8|^8%`t`QMd3IFrCbc9|Pdi5{pJw0Wdwv+9(}aOx7{E zotNWkVj+V8R-QaMx-b^iPUTqR`bI*sZqb-{MRBPR>NbPQ_|p+_Ohi?>Nr@Gnc+5Pk z#+sZonWfMX5+P?8{7AxenBS&h<7B*e8TQ^P5d>p{KDl~)l|+fIuaqyAIRDcb>|08Y zp;`XX9Q6JFI}z(l$mUQceLvlS?7u)dd+V(UZr*R(El_A%_RENVy6=A!weOJrOE@ovt0G zClg8cWVtiYtSC>L{Rql#6z*VsKHt+p(zrmhPb-3+Jb13_NT52(CM4&Qam5#fBj9MfC*OBrXQ_5)_WDR@f@LmGwZ(&J1&S}8#fjt4^ zH}{xqgWJVg?_$9Nh=^HhT~(k;q$<*-tF_*)mn+`t-Jl0?v_bf!uOf)eP)6|< zz*kGr-Yi%P<(Zq2!~Riwy~*>}GR5 z?j036r1OI}0M}+07>g%hqw?B-fHPWWp^2`d-PBy$-^I5U2Eo8pwPODP5D z-|tt{teF-qMb>q#b%8*olzKWXt*yPcb#1lQQdCT?YxBdciTnMOflvlsM#Fm#aOFUL z3s~k|SRqbE&s2(4z!eW~EFoTn;)as8lK+j8$N=y-9#3XFV1&Dxlr#v=Ovp}-L64ab z(%Fuu;Mh@=FP#k$gh_B5&a8s#0BLaJ-yFWLgHB=|5Sj+=RR?b;ieum;#u^ z2QN?gAsR@fe^==e)y*p+B0X5&sB{PYjgxko43@mpWXzEcFbPs87D>o1Du+=b>{>Sq z?Xg&}EZKs-Hs*}_B=O-FY6xs${1_nr&-sIRl$nV<1K8O4l%DVe$9J?X_L_}VmFNe?n`CtFjo{yiNZo#Zi0Y-U+PSEi1t^Kb*iSiE{ zb_?N6nDS0h8MWJ%)w$D!49JMi_l?Op*vP4IQ{ zLpn{5!^w~vKUGSdoZPhx*+E`_0S%3;@4ov^;)-S*s}W6%Y?z23`Y)yaqz3f3@^gIn z;)^f#^bwJlmzTrmuQvdnVd@TJ&CD9K*i}`EX!rSMVk#c5Q>_e7@HqK2Knw%*Y6c{U z6QE;IeD((TF&}|Lsp>J|d^7%vuY8>vK8|)QG6#|$aLfzo;}r>1>F}Kfz-fCT?jZw! zy`^_=MwkkS8Qkile~c*&s}wcS8cN0574%>?W2L<4mC`v}kz$gZTk1{_J&eRO(2~Gy1-$ z@s!fqqN$k@ZgGgz(=a5__-2YYT;9r>_dw6dGhj2QFn-@q$6_9Nmkx}51JZH6;Ells zcw2|IlJm>rHyD7zZkCOi7^}mA`kS_Kv?SQhc}ZXdJ7+jD$-pRFbWxy&YZEKH{Q(Bh%dclb8LAi23C<6tIE+>|4 zhvPDJa~fzip!a?{ohC~R_A9rOB5XW7^y!(a&b6?qzhJ2%y)powVRFy(=^riPx@kqj zA;-WnGv08tpU=gJ2^K~KQ57BsD&P9kpu$8PlOjn1$F0)AMLKpRYdZ^-SG+T9sD&Vw zby7pJ!*Qq4JCMKROV84wJwTGLTXXdx2}Q|K!n*d$%L|MIz*)7{A;E<&QRFNInw0wd zd^w*VR0}rKWm&>wqs!fk>UC}Il3zs{NMuRGBG3;~5iJ2uf}kqettU!JAm;66fgNx# z2P!TUr+A(6Rn-y23CJEz!hYwUC7`}KlaTiyN^K{&lx7OyAvlpdo8%Bh>EXu-<#Pfi zMj;0yOU%YbK9qO}8O+LHDN;BLjlju+HTv}Bdt@SZ{ zK|)9T?18Fttr&ey8_cv4CcV7W^7U?x`!RSDeB2-w*%h}r2~I#_7a;WKR^rE$cC(66 z?Pf(_3LmXaXF4p`#pV4@cplk2Yx&P~3QmAL1EzT=vc5t8d02GwA--Aqhit6PZ(`J$ z6;Z`M!*mO6PtY?z$$35nog8MHpcq?nr#-nP8IiNJ2_x=%m$Oaa{#FB~c24N_C;L97 zJAKUEp#x3XQ7;?*0`xN+6(qrz%LT&zbzPsHo@gNe|CMI$mL6;X9=1r(XeU^o>}4lv zPmP~AnF&MR`kQHcYv|=@$nsnH?=)Sff!qJY&K_18uwe`h=nr`xFC0#%6LqdwtcZZr zV9fCRi!Z)FlmOO3!wg1j$a7#K(a%b+48UiY=>Dgz%^CC_@m~8lHv2f>>CnnC2EYs5 zWQfGcA96DF({D)OgeWW};_I|o%4XvJGT)|BDfH;9g=IvW&)(WGCQ02kCNX05qwx2-3&6Y*p7d@5n4irD*e5c|Q5QkXp;Swt&y#US9>rRcdt}FA;H1!NYMUR$=r7 zjFZZkE}1LhsTdHLAYPrGJfQZ2<1HsMrdztmF5I}LH&utWztd&b{<6VbrpBkLQHT0o zCvNi`8hG=RNu{~Wz+b{(>*QV4dj9&FM%sh;!=Db*guQO%zlG}VWA`afMx3{}0=DOV zQTKV3!&-6!GAzz1KiStcB|87XS2&S0vvplRe*Ad7UUOzMdw6&_pU)pYd?2EQIy)Rt zQXQqWcD-Ivb>BwL+SBt6xpI$qigD}?sW%P8Ez0MIO#Hg1*hG9u_7!`cs2>>h3UN183dXAO` zivXFunLtq|cBK%~i&zg5Q1)q*{)hAwn_U~fiztMqt&L6Udbz4fZzgIh^@3v4Y0d3* zOypeax;E7-#Q(ipt%a^aLl!$Qo~lT11lHb0(m_IW3c#hVujBu@6&L4%5{?H_B-!2H zPZT5}v}R!7vAJj*8)=p)ew-i29wk^l#x$3&gRPjZGJ+&dTZJ#rP!AIkl>!5RV8|28 z=1fB=#aeSVH|Dm2m&8d|1|?&?$DkJ|EDhQ!$1%+f83CI;(}b<_Cw30&CNutZ*YFv>PELM82ST- z_E(?wOFd(b`vCV4omdh8e@dle>D_43;a6h8!{%iac&q)I5d8F)4a+&F-tEho%D;tQ zr;c0l0eaY4Jj}Ida{dF^Ked4H`p1tSFPF>YcM`h(P(#lIRMm%v2RH}<^uJs#`4S)x z!M+z0xu&M(9_{_u@Rfak_d{?Szyh{ z-RF>&1=FzI<5Xp6*BiRjT}7uOJg-W| zv5d&31?dLcB`VVChcrCY7nevEM0i8JJ+p~`!9Km2#z&q6Jm!4NR7G^le=-If$BBR0 zJL)lsflIWZffk5)kTqaAC#H&!RTJ3+P}^)oGLw`Zm&aL***17-i9BqOhJT=os%yP&FwJU%|YfB&9gm^p$Z3v=!p|B3090r;$v zJN#+AwYIj_&1yI!-%Jl+5?^%!m)+yo4xG0+XvgjQ=4|zk6uD?ogvHU}uC(23yhHX2Povo&Jui zJu_Las|juuqHOoO;x+^7S{6{>m)6?D!^x~aKfgRZJz~3nUr|+szjo{qrD*FB7*$0? ztw`&pBEqn3L9bGak}gvSK!CTgZdU{{R)ifC7Jqwr8Rbez|RLKhZi5p^}i zw9800(K4=)a^<661HdOjjE_ltk+LTUZ-W8w{n7K8WjCXwo+=a!Rbrs->2-zn^ViW`2GLyzZfDMxT2YVqaHAllyx4?w-xyU+Vur{BI#P zetCHT4^T>ZczAezemn4n>5-L0H=}-Aj00a z^L{U~W1sxtK1X+d>~6g~{d9{3mF*0iexjUSwgVwCY9I^M{c&@mDG;*8oxt0-Z|N2s za($HCBN&;g{_c0b!#%)M>GgUg`bUEQA8;C<9uwe|0r=b!+*0<|+uB5=w10nnmy_3H+F4cmj;FHLWA8laze``U8I5Oeji%l^X$ zzXo3x(!<4PLJ7n5C*lelT%oC0v$i(ByD%}6b#2R1RAG#Z zs90Ug(yzT%yG9#=!3?7SQvp};k4+H!2;?O$3@xRI!iqo#IDt8b0^g-w zHAV@a30Dx47}-i-Z>O&eF+Fh{aW;NoNwIN4QW`oX@oNdzhjRz75U)jU!d`5gbc{22 zjLbx&q9m0(kUKvmJje-Vn!b#AIq-Lol!Li#%s}^p8yys8z2muTPPlZ&vk*Q1oeNLQU<_`%_grsg?qX*4;u zVU(Vx|7H})UCSH++WE`D7Vzb*LBQvf4&l)rgxx{^69T@Ke=j7S8bH+hiB0{)bcY|v zP5Q}NG7#LqXeq?(lx^RV30Cq$E^U9p@-Gl4HGfnUXC1KKq64Xt?r3 zYwnyURDssDp}n5LjREMl#~j3nh`|gPlFrCx+=0*}h2D>%A1*pXR+x zJl1U5sRl|_4X#Q=vn^&maV>^45nEZ5QgAyEzA}%gxc6A)Jp{JDu@|yd7p&%cr%*x~ zS~9btaQN|wr$g~c(vusfMTquo<_-L3gM~>?vn{Hz9o2fa=DY6J@pRHsUJluF&ljT zJUu;$$m8Rqi2V5DkFB-KUU476;yb9Bnjj$016Y9v_HV=h_LxBFts} z53$Y=sM^@JB;EjO=K)GI5!lomWMglDwta&yo>2D*)qjDUK5UYP0YKhAiPW$;n1ibB z{D4Sr-Arw$XbjxnyRFw1z4MU3B7|kCuobpas)bbE%%BK#I@R9g!-r>)^5vIb)Cw^M zZcck|R%=mpfg{GlrM${V5YrCS*uDH1m>lJ50AGyIw9}zq^CJmK zE)5bA+vFXl0%&Mf)zN5W05u zKMhtXq4}sk*oLu!VjA<;(R9ryn?LhoehAlTQ`LG=IKf9H@l|ky@Th( z!L6K2W|;2XHMs;6qg&khSa2|zGt~ghmTakGBwRh;55t%!M*h+nlEC4KV-Zo4UYuW5 z(QYHkW<0|{jK-kJzG&#y2Zu2=`g<%Q4ci6toyu$kYT(FjCY%QeonXvor<4M`ZIle`u{ZCUHG^PEo6G>$^WEtyE)qy5^u7H2TlX%Ys=IOMj z-r*8J=JWY{xm@=7bG;UP+9yubR|ep-O1-(-*}ATI0{E0rGfq3z4F5OBZGtvRky-Zp zp>fI1H^w(27%xFK8`h?^j(4I6M>!j1Yu_Mx==gWD-T=*eC_=dZANc+35&R%aSzGgl zU?q0Hc>v@B)DoaCRi)Yw8hO30A_A^MR6Fd9y9ZdnCUw28s#0qKIx&;h`ss99*S0JR z*oNyBd#I|G);ef|j?_Ao?~7XqD1@d?>_ItL2x;&$TkJA`ZG3_a))4rU9Sdmg%KaLE zncJNE08Mjf%n6BMHF0hd<^wVO0p_=(Ee9zcCSmM`hXDaLyo_yL^sa1plW3qBzsOeI zPjvs|On{lV&JQE|G46v~*X3o4 zpHX7(=HserP%)|{)oUhNOe8`CghwF5NNO4qTqF*12cHl?InhoPQgZ0;sEB%yu_4aK zDvRke@VAk~oJV9Hp=<9NNqd4j#}YS8GT2Uw^+W2X;h1p$;8n+%jxpczZDZfWrGy3_ zY-Vd~MUUlepI`bEsBw!i*gxO10k_`0^V4COx;30VZ1x1dG6?&`Zr;yx`0LRT?9cZQ zFhkYD_Gg%@JHIp;dRo}>zP!9-QL%`;dGiL1fk2w90+oNr229BKPQU0iXpc}2Sse@9 zJOSLpiY6F6QG=w|=b2hNA?dx|QU0sJG_nf3f&ytE0pF?k$`PSP5Zi+n;erXY0@lYp z0DgV*=FOWoZ~ohV`)@QU<_!aKuIq~X1XL}bkX{*p&nm4eR%=^%G3S2!3&24y10F&3 zM0PqA28+88-r<+=m-pZyH>NBQw*;|u2?3V|+RjZKYso~Qt}kZho<;^hhdNz|JKG9v zpkaoKn*jIvk5FG?5i=D_)V8a4a2gJN5UvSzn-#69x%QLPr^w0Nvg9 z4(+<~kayp&XRnO;htuxM{; zVus_a8m|QMmw^6!gzBRW(N|1t9Kl1w#Y|i?O$Dnkur+S~RJFv#0Gd&{ikPXnIrv6E z8{-?K;7N@!QG#$<39AhGfTeN8d^LsxBcwA(Bh(dvOyQC!MEDX6#`wQ8q0>G*C*noER~kHwIDC44PmR=bh03Z(MH6E@J71mub9h5$Vj zc{={@)_TVcfYBWgRDfdTTD*b-AKZ$!#svC5&ZUUBq5wcYbbERiq3i+rc8VSWM717q z0bEVU<@ddd7J+G0t&3_|meaDFYF(D4w$?s=e17}(&AP6t3vOuR0gNK@tIYyqhsx*cwaDA==LPaiCJ6M2&Pi7)T$Xr;G zB?ssaw6%SGgX`ldotHY*jZ~o_YGC+LLE6XTAeyVlnmiVuo4aqq;G<1C)W>6L8!@E? z9#*o2kt0=?gwcNIG}L~^LLhsAW`(92eu>GaVx}e?;|nkwey$QRv^ZyG(yfH{iU@xXN~{S0M(kvVm7SXUGHva9u3o#uu2Q!(NUNaL)xezmJ04D)A{4uSPg z{v>0v`~)c3L#R(IKWDpD3nAKc(*0!qsbPn&@5}j=E>E!X4g%H?HcP-wX2>b~p3e~g zMC5wCo=zt}ReR@U2;KO+efyRT`|#ld830}mE*_tfXQ_GPI_ekKC1-u51kVm29&yph*+`G9p1YNpNNEU z@Kll}k*Wk*v-n};!U;$uFCsF4h$pTsA$%GT#WVPuS|r{55zW&r5AeTP#QzHOToeGi zTbde+2yO;cw4-zF?d3boZT-Nh>(cqj^1ZxYiiDz% zIK!aBdkJ2ep?6Zu7gn-`=^CTYcYKJqyUsYP#GzO~VaoGE*gH?GO+C4U@e@I*^4CrA z#P@@p-6l&4JW8<1nJ*4CIV36`jH+)bWO)wTZd)JM1eVy*K=YLP`_G9tG4LdvQ(&E4 zw}p3X+iuX6_tUSu8t{To8VMGtq;(Um<6-!SAg3 ztyW-D|9)h@Cy zs3wZJ-x%__>+1mammC2pSyyGn-vt<4_^FPzv2ORqCB)aK9^TFOTH&O~wRy@XhH7ur|GKl8D^y>541zVSH26WR5$B z5uL#(TAH{l6sVZ4$Y!LB1jw!-F@S)G45n2zwq6X;tNS!u)+lEQDq0NZ%!>XdD?7yY zsVV$O8|CCdV`X%O{4k+w0cy_Dh~HWS%&C56^uGqMON&KzCN)q|CMQOUT1|Dt;GTD= z6)?v|Tx%3qr?>yA)lf9mF&PGey;GaCm`9g~@GZp84AcEeY6h5=X8u-7XO5CWkOPby znU1)*dXJdg_Eu5YfR%Xo#bjm+AlMh;YS9XI;md`u1UQvg^ir64sJlcvr?!d?c(R!8 zfQK4=!!A8TOH)BWWF#Suefa+AH|Gy~+t><3w0h(|4fy1Hu$b@}A!Ggudnxe@Y!Fau zES*O8QctSxBl61hWqC**$wdTA1rQ2!MfYcO`IccOfWlm=@Q3qup+%vN+qn~VBTcDl zNB=~+3xtFkuQFm*JnxV>K!zjxC$Cp*@2BF!-CVln0f3o%PVRf9VeRty!|UyBVMSd- zPY&XxcD_9a7J|PhoCGPq)W&w;4b$h~q07tbc`c9MiYxON5bm1xCg?xMGCbG?R$6$fUw)ej}uT^43QdQU#77hh< zA!8ZC({{K9<;JzK^b94IXOv@-0#((EnwCICs!Qq&5^~OY)YT8Fbn>+zA4xOs>mh2z z{nmGn_yGgdXlrRMf6^coQCnUb8Fj~~(cO`Z)clrnxuOFvElz31fN_vO3#&f{PR+&- zFjpqmBdg~IN8*G)QRga_QkqR-HEvcF@!S6f>nDS1X-jE5t6mHSe)^A#VT#wvtM`Fv z7d$ZApis<4X-4rfl0BCPhdlxDiZoYPZ+osUO7-VokDhnInu<_&*j8c&QCOxJxC^K- zqT0(N%R(Nb9PE$6RYVXe?2LekibrmYvKV5vRXfdqJNs_U;; zOVc;oyl+MwDFMBI@%)sUl~9kdS+~;u1b$#kc5hecF=P;1K=S-B!BcY%nDX?#97zot zXnyM&F4(3&{cXvrx+0`8Fz0gxTH%58&vaBCgRn`A$0JsiNP&$d?EQ- zrIJnz7V6A{<<*!C3yZ143pvu1TPWDS+iELJ@5!UNSg*Yivt1^Iiw8*+$>0;hx1dc2 zVG&PvD;Gg)3g{MYr1P2=_e(;%DKd3l3eL%k6~)l`6r(d+HlFfDpT3hk?yI!hgEk)tcRYi1$lMkf>7Vb zoAC;|&Lc_6md#3& zYk~wTb;lUFpqYbGVV|8R(lD+<@s+iLwIpu1E$jhtg=}GAQ!|y>OCE~A+&n9l((W}D zZ19vnEX5MpRGMg(-!c7i>G_8Ks)p+-o>^_-Avg>Bfe#4Nymm+%6rZaaq{5dEYz7Ust# zEs`R=o-~B4?nho=ZR+vC$-XF+&^sH66ACy`2kCeuhcq8|-GYAa-Si6F7u2qoBE-%s zB>iNBC1TQPwjC)Xr<%);wU(TwA*E_pk4zRlHhRcr)1C4f2b6lo48ggszwDx@9^%TE z{{t1Ku_mVfT3Smp3ZNwiX;U}}mEoY>>o795`B1~Mle+n-Svk!nMOUF7HC8n!PwPr*5y$H@}CdCjQ(0z?EOE z4^3cef_cxNVE}gViHV7|r$BZqrEie^_fLUePcHw<#8Xz=>S+xCtSk}ywpCGUheU=NCns%30zW<~y1aceY@7mYC$=Ep4y?N^=6nY zzJj>=UpQmZGlF?4?mWs9q`vas>R3-3tSdpvrDTfVZ0^e?Dy29Tr22nyf4_kYj`B8Q zCizFhu<3ivN@g=w1!QIGtqF^|zy{t?GB;H5%BJumN43-KwUfkN=N@n4E^q7>>t`3Ph&We#psvL5}IXp_M} z%~p+g!xL9b5BMUpTuBOT$Nr3!|mxg8#@rt7NXIs5)AYnmg(4 z1(M{en7+DM)h`f)ZpD^QHAT|erKza6l;O`f*A=(McM0V30Yb+8;$&wZ~4Q71*DYFHnAC3Ar=WgMTF|rS%gLdkUEa${X zDTH{L&-d)HR;UVws!nO9+7LPt-Z|aT(C&*c?Tf34NPXowGFuyY+XkDMm>p=;TUm*}tp;9ThI)LF6=7ssx38U z&<`WR5y9cqfpqg(w%Uz_(-jJHBruUW--tO3_ABb>2Lu^JC5TYKpVki)DuN+=o&(?#G?M zI{3zf(U!M_gK(Mur++S735kWVsf)q;U#5SWrgaVlgnjMlcY<3IeGB#p%4k#N<~odN z<1c<)hPCgfE^W*kOm6emLZo{&^p7bnX=5OQ$L)3XI~T@}2Hz=CU!}8h;XfWq^6PXI z^>g~S>W;Z8ZziR|<47YyFH1Q!;69Xa(m~ltWbO_J>dWjI5(kyFU8;-!nRNgDZ^MZ0 z94@5tCH0?3^{si4La}v+?jTu0?y56vM_+@!$xI`^<=@=7ZVcVRb!Eh=QFZg6B_kz6 z>Df^pAzAsSdv~4y{{pmmn@)&ZYeTJ0`5JhHKYzXx@A8^aD{NNlRp=RF#I$0 zdt9aNIT$G>y@Ku0bH1EyY|@FDfJZSI^UU>Giq`Lp_mr3K}?$k#VqY~nr*4i0sN^K3P#K&^epwK=UHymObLXHWm#j~?$2QMOl-5;;o6F7m@a?$9>rlfHl4=qJ<<^6!!{i2bdqh;jA1kZv=Z;%3dy6;u0-r>7JWh}oSqExwX= zvb`%W&tU&*Egqk>#fz&!&u81pJU_&*H8p6empdT`EMHtMf$d{6-}rApk4g%j%^w7; zUE5synxF3==O;RXIbEcZl_D<(tJJ~a5XH5n&b4@^nn@Gww|WB z@f;pWqUNxp%T&mXL7Um6vH$WBdk3!$++t$f5GaEm8nfMCHz}%u+nFA9qOlw9gC9Gb zEAU^*F>fnk1%Sqa{}e*0XC^&IGcm_t6w#qr+3~$Xq7bvx?mQw0NE%ff>ZrO>Of6oX zeY?$C^X|EPwTlQkCx*-vOEu+PxcG?WrE(cQ9Y*4<719*tIYJAwgyIn4QlfSDHaev0 zE^#B5O11=^Nl~9><&8~#2A7G_jF8;~gC2V8);;7jbE=m89O*3lgdBE}Y2cnUOX;aL zNn3{ax^l}1qMMw^B8W5jq3z(#KwQ>8@ww!1E-IADtacE7_wBpfOwB!3(h^-?yPfZN zrFu^GW54wle4m$yL$<*WU#i)m;u1beF>{|f-~2OVXDA+xjcC#6x{ubV+gd5}c~Y{i z)AdHiArHV_BX8*{E1N&Z17DbYufA@CKBd^+ZpWDd-*2Rls0)7b&v@oCt|q?wDRqjq zZ=TVP^LIe-KsNg%mx0xezIq#7-FyFivmas9BPx=ITsyMa;F*Cyk%E~<(?H7AKucp- zzbNbx6B1P$cO5nIe@FrD5bwOa;O!4GJ3al5_|K>(rdvDnb=66ho9wcEoz(u8!WF=% zDlhNO?On7`?Wtzptf?{^!2l?3D^bR6Q?nEXpQf^cWX6(%i}iSChL*p9AU0N3U`rMW zWmmLUe5HKDVT0o@8uY*0?L;0DhPcAUSawXUG3Yx+NlnVT+zN=wid?z!`=#ds#;%h4 z9b;#+ifLR&d;+w%;Y(&9Qt_LcP|?*-Ho3L&gTt)+%fX)d3t1f4 z$mK=2h2WPYhq^cs&U)AoSHwqIFvW^9Gw&xOR(w&!++T7gA4~Ys?a7P9+mtk>O#$juH zmC*9)cW=dDp zr2gdliF!ps9eFwy|E#9Y?u^{@gwG~cytX~VCpl^l&}>}okSUX&;PtN9Efl=Cx({m? zm_XrhqlvZ}DH8H~zJ7ilF$DbqyXw;;+FV6TKhiuLz*aQ)D{=gxmtm!r_A>90Mqsxk zo~l3lY0GF&_rmOYnRX@_)CvQgib(15GLm6H<_vs7YGvDg9KcMtdwIXvAI>!wm6{4K z0VSZ`&*nid5}M+U4t;=Oxm7S*ZK{n0w;w}x^2%DX6*u%n;aoc=3Kh*}(RxLNL`+6A zBb{!vSRhS9oGtyX_t;{H$IGdF{|s}(#d8&zuNs!^!lou(2xJ*;bImFAzkZ=93d6b4GYcrJ=PKm8dyi^D(mdXOT9}fnX%`)`T}^(7+(w31#At!he{TD<6KPvOvst zTV0;5|6C2d4fdl&*MaXR2#fSaWl4UOQ0cJv#D-W*s;{9`igE9^Q%gSl_nqtOXuInC z)idzP^J`b=9mcC9GTBG8Clxmc+u;@&$_(Qz0WK@pi_u#tPe8bZ;nlLX5nGvY;AQ|# z%R`$&ZsZ>|?#S;RlYc;#82i4Qs(6z&##V>bxLfvt5uU@~tFJf`q399N&@||ggIDx3 z8bA5p*i=0`JS^rY`w~6>25C40r}n@tw}(+0V@=)BgH~H`26)K=0@VxrD}+321vR6g zrkrwgM-a+WYayYJ@+VbPN6;lYu^~3_D>pU@onvm{0vVu44-NqVm9P_Ja0>w%@(r^k2eF%%PC? zgYGXoB9Sx#;qA&DF>V8>_|X&gu&Y=lJ%=H1XS>5S<$sGwEMH=mMl@J4n>*(zN0(KZ zUa^JmwnmqysQR?1(u-edCW_tngpv<<{)o3$oB!Qw{T0hUR2Zf_J2cHWoi-Vp!9NRh zS}Tj)$TzNoPNvN&=lVE_JuKG~Isx0~*EOyt&(ok#CowDzH?$*_; z#X@JXsda6WiCmU|gMJ8WCJxVFgZW6oox?xaD6mL)6!P^9oE^)c2B8XptSj*#s)I3% zBPl->kz*Dr=^!(2p7FODt=3@hPy$eE!O#7@8NqK5!QA$N24piKi1~bZPD?*$b$OOihr==!3BaEF32!X~sxy7ntC|rUiRIa=p5@SeSX`$WUgT_b9zwz$w zl+TbeJaGnp%9i2*#EL=XacaM4%=QRbZ_I6fIeiC>$nJ*w4^NV3Jeu=eKNsM!W%(PR zm{3u)bQ?v_ea93$h4dsd23R$TW~jw5xbM;{7Qe$!U!xL=;6MYe6BJXD^B`*7j`>Ru zCSM6>Nu;z@q0ml)LG}tCY!#u{XFp7H(PR(1Gx$gXz(vmuA?)F9OTe^fFcQQf^QLI) z&rG1}V{~`R*@$M{LwIZP3Bh;NUelaAdEv%u#K=@_AX~1aj1^QO zev5SRbq|Ld^`u(u=}u$wqE+KRIflM>VJNs9F_YODJ<|b;FZ@-l+gXTyPc#!S;&xZU zM7DuKgNFojIgpL}%4Pbd*g@3oO_dtG%-%`3oB0;viOqsrBJ3UYGKz0>5f3cOz@Cxj zIZ+I~Ok$4b);;Z(-TRg#E>DywT98L7)bP5Rx{%OO!;&=YWj`GxLbQ?MJg-D(G3x}4 zPY^OV117e>k}-6EsOr?vuGv{;MeDA=+%tvC_7{icsX z8LAN^9^~`bL3gP7JNgrZKnL9KokAPlk&02A3hsBIf$vjbHPyqpVd>{{zTJlAI^spa z-?eN1z3lrKXraB_#xNbY%KHlck+Oz#@*Ep2yTSOrNI`6DG?M%){_=Xcyoa`*3?Px) z2`YW-_^91@fAOX>qDWl+d^oKwf@yR59@=aWA)aH@EjZuy(-_cfq}|mvmk19yg?={uWH=XEThJ zS&?qfNZ<(|$50v6sdVDtM6 zQ1lGOP{sFe>c|(Fk%`h5>nULt{%PHMy*%jmr9&)3*K#5gC@_jl*bDIn`()#(uv|A$ zJnyk9M)bV|Wgx3Wp0eit$WJCQHT#YHCCo{Fj14lcRq?^4{bs=kxoITBUO}ahW>++a zz2%~QHLjQT|5}bw7KF9Tv8ZSVw;u>$8LhHtqBx4oaEIlqX9^cO)UEc^!&cKcf4p^h zVQT{$u@0$|_Xx|Swt9%N&ikU4dmhmBA~drDQU7Mm7++BLZ%g0JLgFIrd-{099o5*< z<9Y0n#hmkEt>Q6`3VtF$Gkk#(eXU>yso_1DB~2C)`N9H(Kg1s62%z=750?~M`5jra zpt52Oy0U}_6KP-=Nfj2T{BxxbK;`J2hK&*OHJ(#L=0iG4CJ+k%JEtixMjAna>uzmfys}r=U0;JNvEw{QjEBKJ6YbC|@Ns_H zQ#-zs8>VrX-0&_Ou-)=n8j$cZE^1{Y_gltWXMk9;AoU6T7rj0C#fF2oO-vfDtF` z1HE1sVbe!4;5R_H`944(kHqJycwzn&Q^RYNM@1Ac5}8|QG({wGBk+S3ovD&HtYgs= z`qF*F!n7YhEz4PkE$BCotOP0ZDLK^!Sn%nILFQwkV>?9ZtdsYeq^aXCxWjBvIZXDd zFGMJWVk8m-D!5;xF**3B)MtIAYDdRvEzCMQ(e;ZL^T~P4y@iOF+)qetmG*G6deYy= zED42c6vC0P!=cDk>WOrjI)6Bgk72rProfKi*c-y1w|BcNdM+_>MOl%W1d0JjUMe4J zvT|^SqUaY)gtokIt4joGTvKbX1HCOKq<41C4GI-;I^y!>o&CtiV%v|=?NWgz2j zBSgxV)V;LuBeK7*lr>Oj7=XT(iK-V5=KN?Rxs)gje5=0Ojl~VjN`gFg;rTG^&t>>@O$CdVoY|&@zg2z)g z-n?nlR6Sfec9f(uYQ=VX0mFi})Q#No<~AfVM3-HBL2s9R9Z^lx1|pac=+G&U0&53= z;BWkas}JPve!JvD^Y-ycEV^`0|8JcX=pu}|RxKj|cKcMKxkIM1Sr8fCl8CMyjgy{Z z$fqC<`6)!0oDSMkH3fZw2?^=HM4~PPe|4IGW$@KP8%CbeJTH)z3R^h>YEa$Lu{g!`l@vtKb}? zJDg{MCtY(X@pL*X3sB}+q13WREm3aR%BmE}DQOL>hx;@xt)rm(vg}n0w0Qtmcdw&i z?BnHz@)a8H*cW6H=McKkOSq!V&C$-WnFT>7PSj|W_X$7Xrju<>acD1D>sG3dU)%r1 zMlJ-dXQl{zSSHTV?YXiSLYg_!Ts(?VomuVB>F6$CLRAAPFUxFH^y%9!A$5%Pvvr|O z`i=+W{s|1(kvvLL8m?`y!ksqJrX}k-=L#Zr@g`P(U2y98TB<~Js;aDBR$2DgIhilh zArGhjh?RTZJtGP!obx5x*6!c+aE~6i1O7L}w^+hIk%z|)x1&e#YpESq*AmE$i%}%2s}Gkp;VI3se*UzH9wBzqvFio;N>vZ8ICyll*j%Bsy!mZ*I<$f0o*($0azAkh zVvRY@&X`oRIQm6SP{e``!~z`3mihCo`$|PRu|?d-48A+)l4WIsAeropba$-@EDeo$ zWGx}81(4z2IXqfw#zn(L_Tq!m0f6ZYki$LZ><#Xx?F_i6Z{jZusHqg!gC=1hml-!fLHUVuS3Q7N13dC3mR-R2)46|7p4f?fV813W9XNY!kIycXJ{_qQF*Ry&{DelZR3^IG z9Sf^To~WX=B{h@)LHDAZ1=@h6o>8rNG`WR-x!ZkEWL^6@v9jO+TTIM22E~y(ohRHZ zjgtph(6A(g51AQZHR5+5*laQV1;Wt4Y8i0tx@PoN%EkGJEU7&vCe-^6*d?dL&05DE zJ_O)pEOQ3~&+OK@--bug@`YZy3nf<{9m#w=VTAX+`V~Iv@$ZXomiSp+bBAlpMPOh6G{(F)4zJbV- zMRWsjf!uh?qxR$M%(7iQUN95qYqspxVe1b=)^Qn19{J->M@uw7QGz?@q&L z@CykgfrB>ibzfEPAkK#ao)H?m4oD0jsX= z-wNzLz7ZU-XP>K?_h9<4b0Lo(PfShp)UU_nK_SCE<~)_D=MU}lAf-8S$)_3tvn3mh z4OjJwN^EF7F33*tydwtPWmvQ3#30^<*PvCUOvjUn20t8;mY2&2756v{OG4UY6#rn8 zIR@139*WT1aU@2T`A>BX^%=Q{8yv^6o|NT#Jw6@c6o)f4opbd;C;kkt@dvciFh<4c zPJ6`lrj|zD3GG2U5l<{|7EDG4o$epx8}B8?3LY!Uo|YwgsY)GR%{NSD<7<(DeRO7{ zeSLDP5t6;{QsQFnOU=tBQ{`OaJWl*`JA^ymgDO+-g~^=>;v*b?c4eH-Tt+(+j#wbV z+e1GqFCwX=vl%MKN?t>VVsjP1Pq7!X1@?GqbaVf+W;Jyn;KH;aazA(efqN0$w6xrO zPI0LalkV}CI^gY2#@8wPW}7%?J7g2|-*WqY`!%+D5oTk|ScQ5H!8|&fVLGmC$d$P> z>m7~`a`R1d2e988!|beWWTH_fQIVL0v31GKx(g%qbzrBln(fF5 z70`|Be_~d&Y1fwXA*{}i)_uwVxRT*7BM^*=> zgrM`%V4|6g@>^+Za$j=6ZMi_!KgRGr^p4zF=U;~{(1!IXz3t0JyjdcF1-@#88eB^Z ziZ!7Rzd!uu99GA}HY4LvkA#kS5(8N+)&vVnL zV}eJ|4!p)|>k|S07UymR-=+0has38x-v_H_=L&)AqfFTPi#ApUQeAJIYKoWUtzVv< zK~$>qP2=o97TYa#a8r03ahSqJHc%fJ@kwo_9C8 zFm>u(buaiqX(}=~4d&s>xq1t&E+2W3VN=;NoFTSj>A@^CVJr~y)y8wuv|VzEvDfI- zm5addmL(?o;G{ZWos@DB{22&J1*NG5yx$DF8+3z=BX=)|(D~w|W(_18GhUaCe2Fd9 z_I!8jBdd=&K#7<{VVzlo?AsPcIZ-OhLg)Q>U zX?5X?vZ&}Kq1XF8kl3Lt8!oV~HG{tHBc$^`cVNUd7>q)=Ip=qGBgt(-Ie^j9Ej28^ zFcx4;cU~y5rFk>n#ccP1CbA2zC)Pvp1WSL*Q{#E$02{zcY+l;4ju`y0zUXz*yGgT9 z9_}emG#2Z0n$EwFpQaL~D&hy{tByb0OFqgoH> z^`lavrm!uNso?1!jl_$h_X$esI+E@U9|!2Zp8Dyg9v-@Uu-!wsQ4@jl$?^9v9JDC; zggpcnX6OM5}@6SXwZtt*~Yziean*aQBY0B!O+7A~S}z{ysk7LI7Xr z%Syx;&fw<>?n9)n_}n%dzkJ|FJZUhyetP;}*BCb!-;4`dKk6@~lEbgp?$3QDuYXF^ z_VPyo;irLbo9lTgUpJ>YKzcc>geRd-ug*X1^w4QJGcR#OLx^WWg_BLs-7>ugy;gH!QWVZSE#lKwaInB!3))z_Yo( zy$Sd=uqIE-cP~G;7IlfVY03p2p)Sl5L>hryhGbKB)DUo!Z#@xscY&(Vjr4BEh9n^* z^@Ra?x;8pmF*=x7o@x&}U<0p&94`3v^~gsS2%qmdBkudY?`lOq9SgQ7GS66#5DT1f zZNCkS<_&S?a@|al9mC|@bk|RMoJy`6Ed$89(bH!_9ujqT>&Lv~xV==5>&ZoTe{ITB z!1BSK6K7}spn=4`$!23w!u_gr`b;iLH$ry;IV5^ZQOxp+qef70Yci-{cfszC<*IwF z>s%C7Gz{Azp=dXbL6FgocjYM*_)1sI1B`a9A9a{V0!yv3PF-TXkI^$JRp(srZE{!z zzKhyOQvoK))p}QRSv(MQbcM#Zats!z`6q|}xz_Jo@RncgiSoXtzwW-MzLHO0Uh-0( zo`pW+zK(@tc_ML7;*>Dj$tNa_grIm1wOBp!JlB64ZuHi^Xl>dQC08#K;T?z6<9Nom zTwr=pmakTw!{-Y%3n6q+l4%7T31&DV(ln;+BKT_0_euAF-%|)lEX3mx-J-YI&ck@b zUw}CPjG?bVfkQ!le!$b$E zsjH;L#BEt$`i!0StpvqOio?*`gH^FL?=1>)I*k7W`+DYnv1x$r*4kC4^BazFKe_vv zl~%M=D;wiss(=o|G909z5UYYuA2Tr1s+k3}nzf2@#jnX0awz81ZDjd96cU}sepDKf za_u!zFj~7K(Dg0x6Dx(B2Zfq#c=nyxlrQm4XYoTaLJSUg*+?)3ryG55NNLY%9YFxD z1$0kI^b2b^GiFuSX!?txgA!pir(kSFypG={KKN(3pBv&emhq*>q2O{Uy1Iq& z{BC@`#puG6r}Nvl&6=yzQa-@Pr_%gIyP9r5`ZTEVCC(n_QQdmz+-^mE?a^tqNhol| z)2V``d#X_>a_!6t*H2b)GcW$*UQP1dcO*AXZd+4UXE}vDut(<_fcmlzzqbn#8*Xk~ z+VmN58faD}b^iR$7#%rU)I|dzFb1uhBTkN{=6}qDhVVKd`}cUhEu~OPk)gCu6_@wF zl>9Ip93oUCJ0Trm)G>*C?Ebv@4{V`PGH$M+!NO3{x!&GB)X4@QO9B15T6vE#5>$5& zYnNpAbrX7Y#8l7w1l1V6Vbev4x%J|aoR2LIlgYWEnOk84rR~Jbg9uu%G#1BLe^XJU z8#z1fLykGgnG~y+U4+6gqb;h&{84=AbQEJXqe~)`zViWPPtIrB_xn<-!z8)jGfm$N zL4;)baj}ayP!k0S@zkP>!PIf|uefFmtn%T?K2&YxmiX_?uU&c0_2*$>DUCuCB%)Tl zB#P-6%B3=PJv%_cl;ZV>Eu@HUn|^`Dhr-40qQj+}Hg&)wLL5APrz8wW>4lq&b8u}q zKg4FFWEI}>KlNnsG&wm69-Rai#1;H&&gwkLBtJ^trJe8uIRXh!_0r#8bHvqwbbY2j zXN^f+UVl!fLC<>UIV9Fsy2{w}zcI{w(f5wYa%-#Z0}v|0CLIzF*`BmF3p>1jdk4kp zK`e!kENJ{3Qax-f!Pe!*U3m}Fp*Zq0Ks47vMPCncpCvabRt|L3FDi)4WPk@tZIGY=U$&Z*XztQ?=GKa<_>T6qJBB5tntjR{(?&tLanoPPT zQ(YwnnI3DWrAC_HV%C1Y@I4Dc{Php^R2DqG{(N{h39#i=-b38%x#at|Ky-2-lA6$N z$HE=}pQDk5Z(-4Kp6eAv+;wrHVDv|`13STOHJ$iRU-HMkK^eL0D)dgke-GU1@`nKX>Qvo` z+n(!wdq^+~bi+>n7;7Zxz+wO~&MI)m>EL@e8a<}F0b8&FF=<9p$ah+ieyYESB~`JPN6ZGH$5rdoZNh$7_QU9>*_m&c6-e^RuwpC z$oh|XP?U&LFP1aZ+$}xO?NzKhk?BSo)}A+{pW&53G4w+rcusT--dFEYY(iRV9>7LD zq*~qaGzkgq;iAI%6X>2-s6KS?cr{NFvG@4XZn!NVChRmhb_{``_>vkSMETp~D^>cP z59ob!rf@$t-F!f`ENe~YnuLZUv)h265u_$UKavQt#Xb)FDcxmN?}TQn$oSOs_mt$7 z{a_sb_Ef|})DKV2#ffw_#ZRR^SOgm^R*s*tAMT{GYX~M!9v#CDMywC7u>KO-6g7!X zn(@;~^W*rqPwR#$$L(dN#B;cHY{pD&k-fIV<%BAgIDv4WojE%y>($A}G_Jye=vDFT zqCVP~2S=lRt63dHf|YciMPF3i&@4h!`q7tvg#M>raB*>y#usjr9};(>tKis@k(*ru zG=Z4wxI<-YcLHU7a8$oGmIF19P9+?&eD&QUsYdL(`k4s}zfP;gREzelr;;XRT&>%h z#S1f7;)&vVjW`x=5*qqYc3BHLC?nIW9Ii)I@KwAlpa(qD!Gk~M=jTCRk%WKxe`~B^ zlE4lL7QyK^kg<&d@+*mpOW%*SQ@8KLv71;BVJRs;Bd*1M*x(ei_vYNO4P zhSGtUGWa8Yy7ie;E@`jsvp;MvJPVEub^_{=>{bwJ$LNGEL9Wc*D0y%m;Up=lrU(y& zh-Cex>!_XA4h!3}`~~wrq?vhLp*#(my;!|SmMB#MLVF7-k)Wv#!a8H2!4JQ09zSL_ zVVR}g%w&)38{V6r1YIIBVP-l8AvvDG`<}l?1GGrV(Ev)gq2R7@UZ4VNrODYFCD<1+ zwyi=}K__%{=TFMs-lN0>jBi}5fJ&~QJH-h5IMt0jg4E@=XAM`ZECN79(;1_={j!x! zCfM#ql9C-PRNcG(95M#!*dZ1MDyU{BaVt{-VelX2gapJH^nI_9OJfDcpK!1U^!mJUk_Qt{B7uz27%@O6(XaRHY0`l7gB!KZw?7JbrtT<${0a-d%ydN!h+FpP zVUBkWT?#-V_eTcUj+SBKvBkivfbz#QOX!aZU%|ZY_uKLA_wjDOr%NJ}r+~XjuK$j) zQ#VmB);TjFC*j2kc*YQ4WCtuK6z0y`x9zXofOpCo)|2$S$cCW@!SXZ_@5?K8CH5u| zl4o}Kony*MNS> z6a@XAiN`zVgXK?Neq8SUIPZLdE*E-)X5i?1geCk6mmEW7nKK2#DjKSJ-Lcb3*c6LS z1&woCGEAwU!GU#ax2S%vm%7p%>r0WG2&(<2nmC{ciwjeEgkwFD^c1y+DU zkg&u{FHY$Y;q%q9Ljv1wJW@J#2x?>$QOESr3czqxX6sYwG<5JZHVWLR+f= zyhi1+h<{mZ|t}7J~FjWZN_B3i;86`*B*^B>@^qQW=A8Q>hyZVAt5$V-Qe*m^xt%d3=Q4= zEZ;Zg*$A(Drip}^eXecx2|OuRqSAbFY9JPvrG4vcZ#AaPsX$ZYz(kQIT&$?;uoyqf zOd@cxK^xBAx&_l_ufkZcT=W4}-KN_8ytAz0Z_nNoIo+CGWwSm=voQC6fVx-8Vb$Ic zl3$+!n-L28^c(yWQjqOhVfD2{Ie*BQAatzd!n3fIk(q|&_{`gQQyWeW@{eC&6aY_m z1=0C?3ZCQo?#yiXfNeS)ZUT_D&lm*W=wctg$k+tXD+Z(=9 z?^Itf4Dfc&x$65LvY^1i^11t&R>U(iwD9guxHOg7$~K(znlT$h52XykIrDwG-7#e? zX^9!1$GIk#kih?}C~g&+a{k_5q0P+;=zGFKr?%DM=!e4jOO@G#J;HoYF6CRk)ph6*v5$n^^|LbWF<7`?_!t!U9=RkjEszwQ9Pygx*EIW z02C8F95l~*Cb+7`Y>KVivh*=Ur%Oq9inyGnC-;)r%{H*MQL3atfgni0;E=U02wp+Z z6qdaC9-UvA;w6{jY{r%tLubYx8vva%%eOhl(n`M1rWOZ7sE;5*kscXb1lI*I7a5YM z!<}PyeaTqUBG!fQ(EwyfD~+bg)7q;aK@6_kRZn94G7W+TH7Qpi&68SOW~bFqL+eY& zuOY1Fg5vwx4EVO1ptc{Q9Y~bLoOd2`)o?8u=k%KW_8}Zvb)?fYF$mY;g)uP{oxUCE z$W$fT;w-YR>}gyihDx)3({GcyfCp#B)ZNR8RR(?dR<%%YMd37axS=XNoF32Zkc}>r z4a11-@2#pd=dwz)<~%t&H1Kocg|)yp4D4T>Lj1{TzKm@~^GejaM5Y(C+_T{y#(&f_On(O}$pUi6GIViEhf2nM>0~aZ?JB-qbG)(jYA;{UFIyETg(DUX4*R?vVFyKw{tP+=GvITg~#~4!%*d zXz8D&_64dHbI)rA@DXMyUw0vpGgGWP6n=z3+ z6n})!a7g&Hgn8{)!nASWnwLO)T5N6FIp1;Y&f*i0o&N4FrhO%U(aDLjfd?I!68dr#LBe5|qzOy7GU0LdE$E9@CNZj7Y9} z3K7ts;*IjZyV)UaLueXs{;ksbG=3dGdn(b$4o`UU z^EU&_KR=?hz;c^k5r_NmF6E;^D>uBB3t{~1lRso42GM&YxZrraq4qEUL^l#Pg6zhr zMW)c#x<7!#GwwCcWRVN%;r5AGJ;4#Dz=%Lu=%WATa6GzT()dF~ zp_8a;z9~gblB;g2xsI2M>rsX_gC&quPp>i$#E@=UlF)|&>W<(u`dt^4Nw+ZCR9A!2 z??WH#rAZ6{bdiq7$7|Yc;fjdvB&yO0aGq& zj*aR+X{NJyl1RQ0FPj2{nqs$S&BR?PD{gn>^2YN0Y(=c(Ei?>;sN{LYt#>pGoP8u|}ZM)H(@6KPC znSIXQd#&}<^0wl*AkyO3%dH*1J4H(ZlT=nLhjgx-#nfbdi1(x#3|96t@^~!{dmJ>! zp}k=krePD(u_rtTYxFgbbhAy@NXOIR_L01s;N5Cnh&J`Gt+5(XTCAOc0T&@IRO;5G zbF-g)d-~(wTxt`$Ak89beyN?%S}vZQ%zJU(Sw(4A22(g|S%OfhRTF1qg$t0Q zBT(AiMOiTt7FCNLHXTy5Q->xN)%syela+DR!+y~`92~Sg)&Ig^D9+xWVn6V35s0IV z=jlp$^80viLmD-8q>%S>3N4TKsYG6*Jds>&QHfiQ_72|g_+IelgLhlq&wnT~nTYAF z2e{^WB0i}Gr{3mLQ!LVp#K?}X=F!+7VLE^ak52uX&l7=nDzulgo{uxY#}hCn>|r&A zC56seMCUA$F<$Te{;-7o^l6SiFw}?tBqJ0w z^8_qC95jJqi_mz(@F5rm%^#uEKFWT@1O0Wu|>unOGCj&KH+O8U4KTC~Fi% zq;Gx-9BePU%CRPRno0KrMFm~?r-UIpL5O(Mz(UT7F10J9l-QP9hhJ2Lq@M-j6P@!a zHmh%n{B;BUnmtG=rVI1dYbh1{y$y0Pl8zuPCJ3FR<0f>ULqrHN_@XOH_3XNWba8UN zG$$gMyPy2{7P(#gnd_M#*XTRykd^xoT*L<#hK>L0AY)~jBvEN-nWYfEKWb|wt@FDV zr$(j&zo_UsvSx-&GFjiBYmyF1v8dJpw>qGHhFsc?r z*^=Q{brsc4#6L%eW8hka)vO*~>uiXz zPT&7<>>s?)P+ZfGD$tWWyp8Rw^1adEwAwMV@TeoX-0u{JC4Rt>-a-C&*+-&E%l50s zREjDLFxB#(|C!>#>gDSjY7es8IFU7X$i=FFw>sSPYKH7ig1x*G%AOHO3N?e8nF&VP zT^CqJxdW)M84>XYZAp*c6wOlI>zkgU+W+s;*PGo0xwK3JKhPA4Ak4U<(vf1 zDb8paoE>*B>#M6|t6;-oKwwtb;wmr{2ty$v#^uYKYEoafklpobaNtYVqLCTRq2YX} zZxIe-!-9x76=xBp{8rt5%_Ybag(nVza2&)yj-IwA~Dg=O0g zEuj#4mR8Aq1#!X>rl&CCmwf25hm0k6ZADhgqVnW6(!%%X5x!KABl?b2yQk9n%04&c zfTNJx97IF%u|Qt(w5^+h3dIJC4dvJ)T^LzP1LS)|@zgitit%)pwT`M|1nkx<-Q>bW zHcde!4ufOs3e1eZ&n|jHi^^8%9<6smnk+eE5rQLD{;xmFQBY9AORFnDAlQr2iemc2 z_lwZs=q*dg@e&>WS&-?vYYjXrmA5~xq3-mbAVhMVvaU(L9 zFE$?EZ>c1Y174|MwiOXzQ7mAXAB-(~jbNl;!0a|Vh3;ipb(XM@1t~=F1SgV$eGAnV zAOFn2-NWRGUx|AG5%5M`dt}h!6c%*&$$4Rdv#Rs^Fqj5_&7pgRi(F~b-6`9!Gn^L* z5#t<#c<)O`|7()YoXdYufEs!i$xnw!9KF;7Z+`I3(BX{C2yDGTNU*Xl{nh&I$kV=w zzemMQz5rb2g*|DUeoys_hCP2Cp2_Q3MMV>1^@Dz7r8m8a<^CaWMg>Rz zo3P&J-1Q@AL0^(E>QowI*0^4-J-wNyZ$)RLUHvW1Kp`aila);9I~E5SfrQwE$41rf zbi|iL8{QQdldTUP9U^%Hih{TGM0fuBVuKhJmSxFX-}G{`!s1jGg=Wp3WQd;_;=|#a zN~V6Qr6eLYHX&-tAQv0Gjkl$z;_%>K-wSK8)LKt>2RRl(5TIOpf&0F}+Nzh;nI})q zc50(bP}Xckg{5|6CGCk+Q<}Csg7Md$60Z}~*7G__{$p1LW(OtNsVkf;A;QnqRP%Jj z{7cj}dKL4KzxS5P~MPEk?5+E7cy<%RLfh%?#OFw$r*mac=5XLTVR{1Lw2 zG|KjueyVuOc%D0EUb|1jhelWd2;^BMe-pV@)SvBX4*pXlz$X^p&946_SX8!TP(VRx z`ZXgK1a2SjOQ{yBqOd(ZgVwMt9j}#soOB#W`_m;2heW|M;}JS=*7juJA%4DQ&oWu_ zt#wF>Jh0s5r@-=!VB@8hL3W+l;QiWWfAA{XovVLfq?cXRk9VON>ex!U5s`EBV?tn+lNpPHP%0M^Pc z5jF=yVmZ&Z@-~yNw}{zof%HvdGy+n25}3^2>CGm7vT)}_U}!T*;xNn~%uQpA+x&GY zNL3zdham0UD_H9e%5TE%rFH28uWo2uEXFK%QPPv)&dSh=I#ZmVwE{J@GugAgTKrQDWt0kg+1{cwV6UB`*-6>Kx@GP}dk; zbk|tNP|{ zx9X5b6t1~nL_rDkD(s|;(hF!6C( z^C2yoo0muNhDNeO2=+F+_4&RfGx~9t)9b5z@t@hlN;=l4F&X$>=NwOsDS?8|xKAfG z!FFyX)B4M=d%45S&SA^kY+N}FdP$0EblCGMb6tSa3A?;0S6+t3>Z%s<5#jrK^icm} zFDZ2W6qgT)oMA?K{9z;pM}Z#%9D>~q_saF#USyDWE(?ZRaMkzG9?jscCjeIxTR9;#QTqij9+QnCFF@VxVBd~dNN?cH38fzT0b8f-@LW5 zs*6+20<1m~H*i-;|D*gp3R==REh&uf*f#LS;6zTq`6mINzYUc|%1Kwp9hFOkf-5|+&%`b>P zH*NktH}cb*OWtr8#kyR&oP+(Al83BubMAZGhyk9nPuVn-=iW824a>d#!3h;k6u5DY z-xGii8o+L#k&J#Uef~2L5D@Tt+Hh-HJOW^mX=$6hwp7bLQb+9Vz{%;MKlQrD@xV-4 zn7$sklVH+RwG*A z*ny%_H*K`!#biJ(4mhk2joGM$N#7fk4Tp@amPRBDcu`PF$Hnsd;_w0$i|87QAb; z(w@9vJ~jH-6G@CRu1&&%pw<6o;qJfx;ARQ$P7lwPFRe1Aw)MGj@A}9O*r0fW>80J9 z%xVFC#p5oK1+Eqw+^si!a&&VTK2gC@MT!Qf_1L#O!{CYHQF{ET5e6vzF`->~~AkNE@ev8bY!ZxPWTyMwleB+8;(nLPu!YoBvp zUaU_M=E?rj>^4m~+3zyMvnf!n3D4|%k}@aiX(&456)$JO4FM-Ro|0<7GDb$NOZWfW z$pUHvX{}V~Z}o_=#XBy){)iyp3Uv9rHa9gtc|j&YCMTJs;r$Rdc9yG_kQ|VWj2N}( z!1E5I=rcg-ipm!9r6pl~dozg>l*~uJ{Go{J&fV$qRnGeV*GS5TO{fYa%ckQOXNbdN zN~%Horh>S9(sX+>g2Z>za#Y(NeA$MG`P$6ImJA>leJ3FfltYMKW37scdq&i3b2Kgm zztM&Mr_b7Lt<)r~FnsyJ8qD7kitz;APW0&k52ok0A4~zUp0y}BgP;3XPf-|)0cVkP z2wRG`?}t!Ul%4uqIruR@`1!>Ue#jkRb0)t9Jm8>clLrKMa-v%b zfPc%;rH1^5p54D?bc))9Gn0Bui)-(W7?%FEjd)IZ?E3Aue{Vo&*oN55_f@)B2DvKn zZ8bEBe!OjNe#zy4#L90rY<`XG<1Pgkt^!T=D3PtTW{{y-JB6~UAd+jGx3)}ZB1oql z+m$h0v3KnPw>dNu2~!;p05rDueT2gXUjp{SbOJ3KnW2{NosEPU98cWm}=UowGuOP1c*^wp21&FPBl7cB{7dK`--M{?MW!Um-_4pZ4f+|{k)>3zMJf@|tv^!dXcNHa| z1hE2LtlH1nb=5e6#%I@>k}WBhY~y5RNDp)mNYl>Ro7Gh#PsiIAzgJRsmgJ?lvL0~_ z_@qD35JwkZuqt#sDPWI>B+Xny(K(qRDY03t{Jen+JR%FN&Ej)f2m-=r%MwtT-$>UbMHK%1&ecD_W?^mMYbLo#q6 zYtrnx%5l<5^<>=9Vz~wPIM!InNGoCF=JG!3P?K=)b0GLOb4Nw*}75<8`8~)77QbRX-+YijoLJu zq;~c0?W-7a<9pJz(9S2|R}@I#ma0hwed8d8X(_rZ+>M;1g~!8ZyEhW$K1R=;Uv%#3 zf#f2%vV&r4RT2twLV-(ZyBPu5bTGRgbR}#_4^O+S~~aby^t7?6eXAhz_Dx6 z{KFh4FuLftAwu2a!>8>cPvFheC%JT^X+a85#Kg^{k_Q7jiI1(sz8D(JsZLgI@9R}J zIj+U>G^9OuA>#zG<^NE^Q7 z{~FDlu6`5~daE{k-uLYAK|Rys##?t#x4$Rj8SpdFDP~tW=8bv7;m((@hpVd}`FfF* zX~9Mw>`9o4JGR*>h8OIKrS~IMIrRWap<_euAIC!B>O7WLJFIa$U?`6?Adb%8Ykd^G z0H()P0|wft1S~!FVg4{8va?n+bh?@M(7XfiU&hRevlnV8US-bgEY+HB71L<1@|f%h zr5Ti?yl}Y|_Q;-B54lSGGA&l~{II0__#ZR%Gl;kOr`~BFYlsf>8f_^Va$aeUB2)~a z-c6N$C^M!WS$xp0)#YZ^ee&giUKo0xfX|P}?=3-zor31krb9jSAOA0CjS`2l8N zs;_iAXGtDxn$V0K?a%X=IEa2UKS!g~XE_pvJ~_DJZ?CVPZ}whyA8`~vZkCoFGBrBL zG1-OkRF`@$>w>7IX1$outm$9_9YbT?50U0mh`z&6XsQvNp*^}jlR-rNy75iV4ehge zCcfpsSdKuSXb3U0GzM_WIM2cCGp2P=f@0_zq@)q1)XM#3%PAookiTj5zCw`bygU|F zLH{jwL%|n+@ME!J(7l`f5ht~l%jnC%Oi2k#=-PE^M`3@Ja;&}|Cj&`@LX8}fRO#(K zSQ_0=;Rq+QVcMLoi-Erto@4g!Pt4ItZ&stBQ|P>ZjMdEV(?eR5Y`;Uk@R3?pxP=bw zNOHfyIcXtC9joQO)MBW(8EK_EnVi6Bm+O5TgvfzMGQc1 zSV@B zxo>Z`PCdilt9na&v{sMcvt6Ltr=`V>K0J@g;2~6%0PA%B&>#Kq^`)f2p+A<<5$JVW z9p<8yb)9p>c&ot^X=q5DQE*krg6ICc7elqj{Do0~pee_mE1Nh@*`Qbvv8OLA)@(ug zr@_9hN4=v;ynM`Vc5dd5ZuNceqZ3>)=q12&vtUGFAC^}y<_vx!{*t7ar%(lD4IFJ| zCtyT)@anwm3;dZ`m&=*&k(rN(f@VnU_w{ibF?{4FVs6ooQ`MVD(LsWlLz|3J+10s} z&oJGs>`A=4Z^_${M=$~2tN-|xQ}vbZanzIq=V5WUfj~W`WYy! zNCS{@g}!QA?Z*1!bS~mfN#3G}lKiluSn%w}NM2c^ooy3bng43bopbuIN^U(9^b2?N z=g^FSmEICvfArh4_shH8COKq zI=n*@6aQ|xj4#AP@ry3+*E<6M=5NQHtbvWY%j53Qv8@(KRX=?-l?kdh`}|7Z)}~;> zKlC6S&YK0&pEqLJKjQ|}<03$GCDq6sa)pQmhKn^=MUO*^0e~0JJQlnmOaU{3EDiwfur|iZ^RtU0<;sDNG#qw8}6b?PeYKsG7wb%~9skwPZqbVCjAf)uNdu0p3Bw}1 zEJFE-3ToJv5VdfrS4Wy~Siq_bj6#8zCMe@6s95?t_lXA}0Z z&-XVLZd+f~t|zCV>%^&{l&CUd71;aNoFcxCQ*#9dwbO-_}bq@6`t3-g*a3jAdrpB#oW zee$Ba_%POii;zNStyn>;Z0XakyBTE=x%$w~&(Ckvza81s_bn)#wi*_-HO<|QU;+ZbDP3xkE4X|ge1csz*+WQrl{fK+?w8p% z?upcpfVm;b8-A8^du(T4q0`1pL7vUkfEKX_*v4=>jm{Kn-5>mUt{IM&i(09QF~i=f zgsaC*1AYDDL_eaeXuW)WB%?DNlIC01~ZooWH0wr@1>~=}XvB94DbSZJ$dN@ZT z&W?6=z)uxO;#AQ*yaAQ2Jnlb@04!%c4Qds@?kbGhu%$pYlz#QN5*=?6%$Rs@gh-k< z-iL;zfpkOQ%RN~&UqK4m8Pn9FkWG|G%Kk$Sl~$W(v(fk#ER;&$>m}k5!=vku2bWG@~B*A??Ep%cu=30RQ@z}(7(*Akd{(3 zZ>6yP;mQsdDdg6#P?23iq!ri%f9|l=B7u}5NX>w-7)@LoJ%epzA3{_5Dp{^WR`LM*m-wr#z>m zaJPeBC#GECP@Ec06(pQK zP_3GQ>BRpP)U|~)H~?)TD5I}M;k-)(Oh8F(4;TFC1Yp_#TF9f%x4blEVCd&1`e*V4 zNDxIw8^p`irnYDx75b&!3$q`)zjTKYVGpE8JIZt64eF5DWn6;9uwC1|I)bR{cqcD-=_$9GA6Y^YP zJPTW|gB?_>?OF$igj1A6N-d!tcJu|nRk7?r5HF(aKawNBbrSpI(4M5l&* zLC;D-T5suDQ?Sl<|4XHq>oRzUpU_8oj$E+Og}RK^QM`~OdXqQ@<2O{^hPde=jB~E^B~DL zQ>+=Iw`$Nx*R%f-QvlOJSBvZzNVxsogPn&8nJ1ME{Rg;!9 zP044pW;u5|>=#Lt)+W5D0zO?2j0!P6AADQs$bC<)+;)VQH=eeSMWlY|0(&xtEsAPQ z5-=c-eanK&2=B zwIralOZ{2D1fT>2W}Nl1Bwt*8kQFQAJJJe1X-nteNIm)?T?oEZx}5khgz%fgdmDp! z(~nDu@(gIk`UsJJYRa5>VsSS$)61}&71I|d&;6N<^11@{Y#+~?1Xh>^RNomLBuNhf_UUVn^pukbyhNR#gPzeMN$6 zpJOfqozA{HcLO`t4eeh8Va`I(mkz`z8Yjw8ugh#Fw%){M-?L976W5}iYbZ$86`{VP z`TyJX4*87u9V#}cil&l6m*pDdvxH*oBl|?J-8${g|SCY8|=~35^aA|5F zY-zw(+R7e_$Uki%yuzHS;b`5cW#teq4W@1oEgou)z%~~pPp+O>Gy~~$Cz}Xb|MBA< z!-_WBY;et^m4+dW6)TJ1dYF+jKRC`W+5E3z%0&D=#BZYsy9w-OL8L->ygzt~z+6p* zJ~h`>@;p1Lg6{`I+ISpD&+>;1eX6NL!Vmwjap$f|-JWFAg@-0JM8BWp_qguc5=TW^OgKrPhK z5nD%JodE8?yHQL=V(&mGCY;M3`B)ivd)Ua=AIZ~+JoAdU&&m*H<=Vml@(arN<`_ZT zmd@i!OB!&d1o!HLqU{}7Pp_mK`P^trDK+3j)4R6njp5}kEI3262Qk#0Jb~$?0nc4@ z1cs~q66K*!Dj_V_^ayM}HI4BT&2qN93_UPtnk21u_#raI7z;RAdQj~@S%T*cg@z^- z#pZb$GmEH3@(qV<)>&Gg{UCLMuoUJ8R(_u-{`KY>8o(B@HpBB)7&{;{Ol)=H9>sn? z5-Liu5nlsOwt3)!=E4|`7x;-*^1 zwa!yS*dU4;oqbhORWcjt@tH{snQkH-C{4r`K)3B$mzMt#4@}_97 zc7D&@$xC$p0x3nj!`m1t!^hu@?pWPid`)BKYO*I1|MFG^p7@)o*o>3am3c!8*-v2& zCZ!1!G-)xXAsqEj%=$bge4$wD)gA@wMJWjfYI(o@ z<@&n!^pYyZ{^y*aQy9rlr#4;t-{HgO3rM#d>=$KTq_Q60zuZcc(AU2~|JQ{WWNYU& zHO)opjbuE_L^ z9o#u_Hr_w-rp`P8b*{Td+u|xA5z&8ll*fy#yBF{o`&3g8Z%@yUB>bj@})S&tur6t2oJu#nJ#*PTu?sl*sYtJ}3vMpSzL zZIbJnVB`##f10`S}MHF-R1#Fa*Y`ZegFv6R5PoCJ>C3tZ`{EHlX?w^`HqgEQ!HyxY>Qp;`o30WDI z9wb4!-qH*T^Zb=5*|9xF`H0(}t4{M@0-g1H*UsaV15^*jbb9{ew_JXjsZJg`T$%PFfHhUFfb`a5xZK9(F_Jy)9_OqQkcZFzX_HMOJ~a~(n{gyrY8Tb zi}z37U$3~tcV{5o$EobL_?sVhdfr+-fe6yir&OdliP@gFQ#y=*{1W$~>!zp2uo?r= z{SIX@ZP0?XSXY|MF9xcV{wdlGVGEtvjd73Xv*3!-L~acJu1K9_PXj$h6Kj6nRAQX( zU5S(x4*YA32Oa-TK;<@kwa>RyV@A8r`cB}}88~juPvMEugMRH?9!9m(M z^vf<_6YShHXVtLg7Vlyy`77mu~Z;_p!XX}Ju#2~h@cKOJZ1CXgG31W zRnBJPX#&=Ko0}cf?U%wKGAFcLyT=Y=81ce#X$EMP+>m;2v@^;}a+M_Qc%Eo=S7f!| z;kPp3TiZkIKa_=qVy~ymetQR)wR)mI&})0C_~wHV@dMk)R58v7F$DQi^`Cl95v1CpSESt=#~sLWIR^v6QX~Jr^sSUpK(iVi-pZaS8oh4=|`rNl`{VR zIG|2HIH1s^I09$(rPApCh7PZ$TUU`$6h>S4d55y)_kPg=uxSyW#P(6Pe4cO&e4rnA z&^s1qJ7loLOtgjzJ~EN#*!=d*6RqOnTo5u}Ojg5Ctd43j<8SWg*p8m=@)WGoZZpDv z{<;diUEF#XDSDS08NOnAuZ8hS2baV*anBJbcsnm$OGHCMky92?D-g`G!>V_D17^UU zSD)`apKhZk01Pd`&6e=Q0!$f*ucub9d?L4rI#r6b3aNb$~GW*MV!ILcz zwZxZ)=e}~#2-J3vnA%pS$6QAr+-p5zw}G{KpTrI=a+L3OHio zEOQI@bh$kl_Z=t=#l(KoM=)aE&v!-T;0vZK22!AFe}BFaffF%On>-ytuL`ja(AbPv zt~v2u<;U;;`4{KXa1Okr+H_8gt*UFNJ?g;&T_~XRS8KTj`-!$RF>YnCtCgin7l+Y@%eu7BvS!lbof?}k32-Yb#uNeE)s4L=VB&<{sRS~DTssl>{TwwFyG6_Un z5vI+nQ53j}Ng-~zuw!a;MAi8Dc&S27czT;-@>U{FQdAF1ddWq&TlxmsL`NZ)?#j{X?LijgqEFoUUUiN%=RMbly1Os z)P3F>bOVW8^UB52NdT$1`J`XK`)T9K?+%ZJg*Ro^>Y`!;(GwZe)LiY!V`2Y$Zq`>$ zfaykY6s7dSIq&kkJ+W7Pcq>ekuf@n$uAfuhxREF+v-1Z_a4rUz6 z=mx!1%`G$pw2AJaRzWd2!`3>qOP;$JsXETZy(P%N_ocYvKZoC_cbERjoL!3>(i^B^ z8za803Ffl^&{KwuJ_9PMUwjC4CJNaR!~wF4E+N$50ymFjYqu80gzhs+iH?|_HvquB z;uOcgyRUm4xAk=(=5bDGc1P#6h|@Lozs{PmIE3~dhp?WF##9M7S3LOz$W6dH^i@Fi zJbnFu<4?ML>5Nvm>2=l1@9C1$!}XEzPs*|X#x7j}6TOT9%{A|ymESId8C;zH6%SdZDDFLl(0qBZCTv9zugrfdEr zrblUs{yk!Kov^U;1Rf6$@bqmYL4C*kHK=sg6%NR>G!8`sqrwVlYOG-M0l5H=-(O0^ zS{ak+&GbBHied_q=fcAcAO`jP!=)2wadAa=pS~>rgG%T1hLv&vTb-1~0ZG9`TLs2H zV5=F88VLK1_#;9x8=qR*yKyvDhLHMU;aqemhrPH+los|_2X2JJcFGLEF1srkn=wA4 z#9$`n=67h~FeKi`RO#rY?z(+fhbL7q()w`hj35~+vWC}yh!+8j^X3&Z1 zBK)k7t(scXDMJ&K*B)?~VNG=_FfqJR*-~tvQuhMq0ohFrd(v!5u1SfkVHRqFyb&N@ z8(NOi1=au`2?p`>JG)Nim+k?Un_g}9RH;i>;Uus-d+%^FnAcux`UJ)+O~y`&FFo%M zpYH;nexCyA8YI>R^z4 zE9%n9KBf1&sA91poc~7`n!}m_E5^*+$vS{UXvi?i(GI>>RzuTE_3YZ^cVH;K*LR_N zoZhzm*%f1k=>{<^b7H?~U}a+iayi-XY&m-%Ej+s8*4I!AIaH_;U;i1s!Pk4XJnq>F ze!vo^{-C%%r4Ku*Kdw##yN2EGLZHlRr%*+KlQlflg_r;iRzJcItKElAjHDIH|JRJT zoOYe?$djQ>MkR#tw)S{~AOQXV^Jb_9JW#IL@*vR_fF25Btqa53PR!R(x@s*!0q}H1uV~U`g2#H-Jo#Srub{*kDys`4xPv zhNSdw`avl{xzPm%8C%H-pT5H3Q_)%X9O4O~2HN|(N98sFwJ-Y4tQ;KZ&{ha6zV^YcLEPGb{W5wr)9_X;FK>S zU3O|)RVbg84`7x&DPyZ?$IE~Y1l~()hJxU6Ds3|Zy&#G9N&nD*hKa{Gfp2zbZVgc0 zL|Im1JsD2Z^s7^zS&kQi+P?27mE}!wAC$9GTn77@V71tjn6DBho7d7=7?^&XfOKcb zga1}?31nN2B>m_d_re(mOsJK;=F*FlNdm^E?UM_A!Cs+Kmg;lS^IR(w9A8{B@H;|K z!J~OBpl@_R4*-JHvCaGSqNQoE#coSl^u+V?;~hv4LyreRGl63f3qnhSQQ`iV2}|+v zDEM;B%Wvq^+dZS*q06`euQZ$B)A}H{XZ2?*KU{DN5Kaj7!#(fZ8;+^Sx4^`|7JLr< z|CpEdU7ijy3ZDr0P$2zxIEkmGmwMOUJXfBotgo-XO(rP{VJ|5OCDt_G&d0}RxZA8= zv-CKGV^DHyP7lc7T{JJvVzJ#}o!&3jTIzzKV&x1^Ai8im#f-QSrclFpFN#%~vQcM>Ci zElOd|%R0z@^dO6lP8BJX5b~S7jU1pP%V8VS3X$yDxy!ru2ViPfR!o~QR>Wk*(jF!m z3u7^83;z+9rdjZLZbiwacckPc_n#lC2x+ovgtX2d5|!fvKdNVCbO$pRvKY9#;A$_@ z;-ryv63c1(in~v3i51Y3zqrjIIWYhM8}E0u19VhcRj&}e!o3s`BK?8o-77h5`OQw7 z#?KrgB2QRUpq-h_UD0_OdTeF&!;`l-R+T2W^kbQP-5ZrAdLOD zL*eibm$Noqj=wNt!G?g}QT{UBSD7y4y_+Rh-aMS7dI_N#TCr41gQ0Zp=arZmBaX^~ zUAM=}VU`^`K1G2n8UQpuac-|pD`qS}I>dEl!5WlRJr6?x4)n*Iibi#53o~UpE;g*0 z%~uow?@ypbHKhT)zidJ>pI}2BIebFbC}C+@r{LLflywpFl$c{>UIJN0(s9tsHq{rGMQXp<1pr^MkvEOB}CpwD5~07Cm; zm-H6&-*^B5A6tUJ?n$-g;zO#>vSEOv_mtxP-3sqaiR^{FP}yd?pXpTFb{@{L?it;6n9L$^d}x6; zB>Yc3#Z7PcV8kElVoa96(U`1-*TV2uiexI8jPevuagRwpa zuq^CS{c1yog|HtgH%0@Emxb*_|0^i+74JTYVgW<_V`@PdnDp1Xk3*;)USJ#}Tt*G9}dnsWn*d z*a!$OCoE+h(jlDwCxalZHutZnn7GYi z`rPgLxV$=ik(KRNj;PM~IeDNOx+x%#d3v!k$`{_s>cC}I)M97QffT$Jl>f;XX`{M@ zG)BzhonLh)%x*QwxDGoecc4Fdxh6{6$(xwJFS#tjb%|$38;mHIj~J{)Ffy?{Z@En~ zs6%*~%Q}e&5}o`)E7dgj==If0Vk#>O z&wSPK#5y>*K0T5C4qCss zxZsmr&cXI#l!DpJ+vDb$w!vG|&`3Ze zXS)7xyLJxNOx187rHQa@Ef1zWQTsb%U`fH?`l1zfNN6F2ViSBteWSrziQ(~i-|XeU zt<`@xPE1I)>eDk0Fn^P zwU&#WlbIb_uT+h?LKBYV_kY*pi%eg!5!aSSW?X^GpHgHQ9nEn2`oT2(8ndo)#io17 zuq2HIfpD&lD0*k;=cycmQ0#TAk?G8aoa!^W8di1ZPS$m*fFVt(x8`FgAe-3SsJ{S(zTwK zgG*oergHP51j}tpBH-I3PFQLQg83%5>xJ!27vl(YxdFd67e4Y?JHLQH$JaZcb=ut8 z65!)oUIeG%C|sE|48N=-?QMzL!BNdNM-&Ei$vcMDVxpv>X(GXK$)fN=+aN% z6I2p1V1&Xgknc_W=2vs81pb^b&X-s7=19U;b7{N%KI|-^W>^Tno7<9@q2;cxKB?Yt zF~%h?#1ilBp;AFf-rx8n@E57 z?easFi54xv050=r1<#pOj37_2XTPHZn1Xa;C5+l%s_+xWRl|yX4fs%fsz1hgFwDDO z(tfvLMG;fBMa)wAYxQ+Bp`*+op=wi_e&RB3FEPU_A8U;xHvAn~>ZJ1DPEbs@Gq$nq zgS51n*{OzO)HE)Rj}rZZAulW#iKbVtVhG&^;e7HWc|^iV{qW8=7MaBClydDokozM} zhVFQ0L)H$+8<%n0k~X(-JX~6TuRfGiiaktIYKSuej>~idr-Y}Dhs@yHTSL=9zGMJ8 zL*%Zrk>f`Y>OvMu+S&%gIAR@^x_ekdA(t~civvSsdyLcxPNx+6(?I-ocZ&LvlWny zj1}1ncZJ_yN{WA% z?s)Ee^$%Z<1}_u!YMzcZa?`(2+l#&W;4^ZIDn@`zU4t56G<%4|)v%3PI&%Pn@L+y# z?GF9dD*9;EzsIZ#1M4cgaCGF%^8>I-{5vTH1_i+L^#2Fw6}G-tsP|jBB6V`&r>H&D zeEzHXozwG@)g#o8C4ub=jIV2dVK@UiR+)%SJuhBiO;Hjw{dyJUiMyG^! zT7K5M$w|5v+jb`UrJ^jOr$m|7+?W&F+^I__%zKEK$xDcx8LUZ;-V27XYELwlFQ>kA&7}7(S3bxU#j%*vcZEk#Y$uGxExnl z5=xbaal#4w4@TwnFxe)q-Lh|VZ9n6`r9?4^XEM<#{`drKy22SHh!i&Q@O^*OENX(O z+_HD2v7t9*tfv=E6GLboN~@Lcj-DVEv3uQUD;D(sn7nRH z8uH>M>=FAu+vtD6_V{7eYnF9J0Y;9;agGE2135nmO-MQO71C^9|HsaZ#DObQN0Pse z=7cya0Zd%#F;2kplFL_W3Z13S>a!hU6TT9usQDe&NNW>cQS9F!xQai~z$GAKrAB{C z(?!&%#7L4*i^N8fMjIKn;U1EiRMkqpTO>LLq zrF+7{ic)ZMeSLko!E5(8a+AO)`w$30hmU|xR*pQ27X;nc_CEk7LD{}R4_E(0kiJ%WRQk^HQ33dwOJlmL7E=*Ps$|CV zvWl>zqp8lS!hD#fX*#H8B0e5(y&d-?j;J6+T(t=QRnhpz%sDG_@k6D;l~cGC*0Ehc ze4gixOui^Y8+<~xh zs+fc>{G? zYjHe4{j%fry_>z2h(+4eA>}L2>{}Zbk*w-hP#MyH8331mO=d*4tgFbRq%7txHJUXI zPU|CuZ}H~OYKcg*UPfRfNopk*`HB1nvTvvnQH;e6|8XnYBYhf&?|t>N7m;<%e#t>i ziQW2D9Q}(q-#kDNtwfqVB&casq+Ej{=Dey%x#(=F1Kd=h?e#&1bDP*7N3Xg;OeNUm zj!_WzqymGJ2;MW*i--}#5eo1K<**|72BHvn8bIp#E1KuyCzRb0<9J)}J^qT!GW3V0 zm&Tods|SMZDdBN~7yX8V@3JgmT|*r4mp&GcaeO+RTzrY+1v3*F#*tLd6@P z&gYYw{^r+z@sGdz2VGT|hctP}tE_9*oFv5&5Oc}M7ts3k`{&Q!+*T^#L4kA})3W6M zPILgOz#sG(Wlb+XK(Yz6>fiS-n_fcp#o=L{rb7IQqyS6bLQ}2{={pOG=~7RyqtlS) z1GAjv`8j+bUGOP)5Q-y$MlB&&)v&cGgr*@-UE)jtDL^O*ZeJ4-A4&AMh_?e5^c_HI*9N9xpilj6g z4@ZZ^kp6?H<*Wf?ZZFhgtmSb$_*ahG^-Al$d5>yDmtjcW&NNNT#izdpJSq0_fWJ_z zgAN84kD6M;eY*S|Cz1@emx7StsH~oHTGa}yIurNteV2{ z3DSq{bs|Dh_#nmHMP!<$d7eM{sk^!6vu-CIfY)tz%FML!B?2sG>(IJ z&mx{t*nNkpU0)2u)ksFxOx&w@gd%1xz7^(5;3XHBWn-qiX7*dZ=4~?(t7;ABZ)(-V zMP&noIhP$Nv!Zau^DG=hW<`sJ`|;!;L^VyXZv_>juOQQB4q>j}!1AJ=&|Cx{U>vdJ zWqa%XP(=i)lMUUYXl%imYFnFe1oh}T-FCcJP<-G01mQCt`V#=!#wJ3~B7>NH0uHz+ z(@>56iDHKnkZGDCo{8^~8H>c4aLy(o?n9g)2_P2*fSb!ZfwE@Bp`s4S-O?xs;E+ZK z%XOVolE}b)0TL!M`s25cMC<2oUNZ}`y5UAjnziab#@6L{F(#d|pJE7ed+Zp3}wyM`OxA^pdf0asDMwzQ+MSmTGXJxKS{Y=1w`^YimF za%Tb_?Vm(|pk@Gwzg&5=vs!oe#q|&F90QAW^Un>u^_sqLUbfW0u_oY4SE{F>R??=p2x9f(B~|NZ4}{mS;O8nI6@Wie zNyEipd^*iUl(QZVQ%W9xifXRbvLjE=XNRR}D%VQf2zdAEZe3m8jc|~ct7(2!w;BZ_ z+`i#$0jr01o|(&;4OPDDF8fsVV7GErYuN>qk;)Jmb8^NOM*5qZ8^p}`3Nbdwfy?V* zV($$AbV*0BNzN5R#iN5jSE->q(W#NDr0X=%({n_#NZQOS(AaGiK2(CEKmpeUT*f${ z(3*iLoGfEaV%R-}r9D2!%ytPN)6x-a1eaZlRohoPjMgsq7dyI=vJ{tmU(*;q8Mcs9ZVl^Ajc}$`mQOBP>si zM;ZT=R{-?p2)v(t=lB!1>c9gW!>Exb%UMJKKzv;ou z>zcJB<1@bj65BLQ)AQ+BRX_jii{Jn8clEsNl3b67rtu&wo;V^4mFTmYC3${gRvo^2 z_x{UI-#V2tqiK@o=ku}k4c2!f`A}s1T~UEX&i=lU2jP^YioD zw{QRc@BiLeu)FItUi;A+*Xs~CegbOdMXL9~u72*7UF)DNREKjiRbj^4??tR=Djs}b z2Fe=(Nwgm?8@Xb){Bxxy{|yvXJDtw10}wIMKx7Y(&s>5G76be^48n{FY-MVCA zVzZP=$~ut}FeL1PF2;CBFEh(oi7tj`XO=x{^mZK1hhYq4Kd#G z{fJ+Yeo>{TMC2w11%Dx_;YST@8_`Z9?jUW2zOJHlLnZlQ*O!{o=t2*IdK#IOSfEUz zW;N=LMG*Rnh*|z-W)?EbS*=9hw@?GBR9zf_YM^~uMOjpYtsEsVShATh)R4={cF|y~ z&Ho}=5m7n9aF>iaMkA6Wn(HOsOUAG=d_OU$;1`^gh^mXWUs}*|RN<>p_JWy-+#Nh$ z($G4f2hS)Mc1+U_o8WCmH+uK)9PY-3{)mx2=!sC=t5^>fnENL9( z@t3BxMz$fCKXtZONWL7uJ*fTL44$KjmNJUtn2#CH{T4y5J|X#yo3<% zZKhh#`VfPODGMA+Hap(XG|y0mW8MXo?<_sNZNO>wlkcoU9~FR~rFfXZZ2I{A@!h-k zzxmDo@ad;-o}QnHs7hZ#L}QiFT}r#Xy4U&U#9L)%YTK8M1 zvRok<4)o3-sa%7L{9;5@gnJifD>i!GoRR{GS=Kd2N?->014&5;!BK%KK)cs|#1%#K zL(&tnLh$>*5UYMcR4pG)xeyPn#`Tx#$e6ZKeq;K&b=Qe05Kys3w6dDZ%s^9@ZS1h< zMIkm3ZK+#O93*_P(NzT5oH(}}j){pyLS_;(_rxbP4Qsl&fa$5Pj8s)v{I0DEQOV*P zM&`N#m*ZxRlt%6(a~Thjsd+*w7vFtVgx!}(*VW@ISFyFIlmR?t$>Ucypz9^Vx|vzY z*HzZk>bye~w!G$Q*>{6qj)16TAN>BWnGvaa3>M!bb>DsS;Qc~E6oEmxEJditb-gMx z+X4(%m4H1GC2d(5*c!YK{~KNyWWlkx!h{`<$3Tiuf#7;iakfGH4K3Z}2B#QQ!{ZWh zX!0U1x2bBOA$|*GEG7dcqA?xnI*9LDro8I9tn0Fz*L9tyG07nH@OE8wT^$U>OqWHU zo}Qkbo>lek?rt1!)_mGEH~w=e0rS@?wB+l<4h?pDp)Hwxp-rTpyLB27^IDHh9sDXD zP_nnJ)gSxCk?%I!wA@T2@P#1!MyMIMIF3`!LtP|TmcFHr};LH5sF?RRd+^pT*?us?V>fB*1!Jcd0!?(8;%nyP$)(!bVI`XFvN zVC4S0WbN+m&J``IE<=IEO}{Td*Y2BZpEQ+UMxu`jz|T-bgvHKJ^K_Vg^~GmTr?b3& zkd%sV1hbhH&*_SIuRrmcInN!5S&UvUuNE*H`P!=M5byY9;n@zi(rkw>JbL0Iu5!|p0_Lzy{D1I zZL5Og;F}6jC-9akKD#;44Fh;aNfl|eIwNwupMY|P)C4GQPz-t9-w+re-QgIIDXbX4t^0mJ<0+3b=X%(DRynMDTfdO?_2YZ%bljWZq-DG@DT zvo6|8U`Oa_Uct7KF&L7|6@oZ)@hb5U?NsnC8jRF-nDIkKNj}yz&;hYBnAR@$LU4^w z81|_-B8WQpjHTBru+HvRQBCS0BvqLvzKT;sKSFeuLIZQ7|LP_{KN?-v)qRA*^Cx;= zmc_#!sQT6Uv5a<$A_1i|WZ)R%M#}x%} zuJVA((C72{-Me?6eDaAK$e*5`;zmti5W%r$2njA>hd+;1!&Wmj{55iH88G*lS_2GG zA=*JQ5*kPZ^Pp<VBJ@Zk$ zUX&b$dq^SvbUO4W2tYR1`$12nU#4%1{*vRirnffy}O2(QG}kJr^`MF|NLq8wSueUuNtj@e|BG@~^8SnF zR8%7>dC-PBg`#Bz&{k_Ph4jDOR>t*luEY?~#NtAQ|t7^h&4u#FvE zYV7l%1|d=Lg_vwesP9Nk;p}@jTI;{DQvGsNOKO4x$I!(XLPa#|)*~dW=V8QPDc!?{6-5F@S@rHr@;S$9{ z#d-Vjc)Y*Ae|mcQ^2;xmWw9!4195B50U}b6Rij&fbYO64!M5rI14nE4_3lm?l&I_k zfvS6b)bw=1@n>9Re3{S%2?|YvKu^GHigAVz%OX&`9bck2e4y%C;GPb*x3@8dMrVlO z{qqR~!{!?|EHI6!Uep zVHi^y9v&X*4HZs_&*#O6n2H0O-(w5rGz^1?rF4O5RnKvB(cn``keG%Md(_V`OF-{Ds!x0x^TKwBiUP~K*c-G4=9K(`@$8J{myPxN9(bMs;betDiN(YGqD+| zX5nP!(LZbIFAY~9wh{|8+_WsEBp1|3J{uzP9vnsJ!dcmKIc+%&;jTqZE*D0no(2?& zlP-&Sjfk6UP9c1wH;2&(6+Np%G@&iR_P@saUPj;TC0;gfdfR`~7oJN5O+ZneuE<_- zkZAS5JuopADnaZ*y*N@{L@2N(hP>h4KCF5%xOx>QK7Oj?X#qrdS^N&A5t$zwp3mob zp67YVIp@5N<2cV}DQ=cLO$YC08m9ZF`(YUV;rCyS!{Fh0d0CjnQQ1tNPqV6y<1dtV zH$v)%7Y3{F_xh^odUrg{o7nNDcLG>y#ApQXkZ9vHI84#VyrNFLVG!;OB;&?O23rg9 z+6!`!Ep6FYtQzca461LnQ`;H^BNTmj zX?F9USgk3)P$Kf*Mk(@vsu>MwFj~zSd$lZ9XfCY2_^hi6^SZ7g1Cfdh>uRd&;V{)a zk(rrXRmj;YQ44jG7WCl$JJFdh9Sgr@k8D!927S^8c@wi5hX(-&B=|=Vc)yEf<1a7F5_o*E|aADcfNrNy6~& zVNdx2?H3upDrsQWD%TE_tJ`M77QtKnKfc130>|!%GW|H?Ot0=sVbT$^D;mTriCn|`#tMYEU`0PqIcu&* zMnsg7#1%t7L9G(i>T*>)gk{vs?(ZL-pPw9-mt|hpm8cv%`XJXekK?c`vm11Lj?3yU z%QB=S;tH>=Yc?`ZeB@qyyIb}%mR;f&W%s9s-0f1opyV%q+jN02(|?6Pi!K=f0L>fj z?Af&E?h+3QH*2l>;b4Q&PSaF;7%ZD=NQ|h7gWTmu{;%tw_$xCXk4MbIIC{tDo(R8;jPy|f_(@B_E;3?| z?&dx-j7B=T1Zwo?^=e8=G)_}qjgpZS@jYiFa_(h0mrWJ1=hJB%@;DBj)ivj|ENg|r zd72LHaIfH$-$0Lpbq67jOk&I+lT#*x{_f>4Fj zaPLv@4h)1e2x;sjEPhh(+lzzyo`v{V*e`8^2%(^$HK&Qftz4^$el+FR1J38Os`_1L z+-t8NZbBk5j^i+FT>q)XN#=U3!ay;=nvMQYS81ogW(8==W=adhMkXR_UgL7FW~In_ zYfNT-;X4f219LW&ONz(K=?4?3T1v)6*e`OwUHs9_{6;~!S%?NWI`Z!JTi|)YOx4bKB=H(R6?MVnW?ET7geX|(&{1a3SalgKUG2UKwDLl zVIqdub2UN{bEs_)7?gd$iW2{2LM>y9sH1d=q-3ExVX-2(kQv)W{;MY_MPq5KQ{_EE z2(rKiN09UNtffC&Xs{q&HWh*qqKF@F0wv?yKA+9v=d_GG(BXtJ}Z`{QT_czdz(kQQME+#{861V5!gRp)s= z942O7*Y);r^YHu#kfLfiabl4n4Q3`Or8FdwnnnAUTWn91r|aSi0|9J4#80B}rk4*C zssf^rHe%OEgyX@$65P~`=cXV`Hoe6A;QrToL~*?Nw`pp3#hCeUIGoRCukRON!YCef zQc5oUN3gz11C!$>hV^S`MT4`=I0HQ!ncjfkHQ3#d6az0@tcmLoCV%|g>JeW|2bpP1 zEsS(M_%RS_^!OFK2zq)|CU&D2$H208m7Z?9ks=r!2suq9tf9uh?r8LB?ngJpgH4hDXhuBR(Td`{t z2tp{2XX?mheBuv5ajfbaxuyZfvpHXixccnMQXG}W6nx4~MyY!2;rJ2xeU7)cw;~cg zT0N`4!PA9aqY?e`VB4Gnz&kHo0M{9aulvtzEKFwRIk|*I)vf+6`4?z2au*?SX}F|W zP4x;3u@R}2OQ>e`Hi(NYMS5qqj~0h95hl4z!HKy4SI;D*1hmD8`<7Qe;S1zLup;-G z#hu*}7xc2iOlGuZ(`-yEl8kj22U}LnnJmn=*-DtKvQsIgl-O@X_#o?Ldf$Z$gE3QI zB~=ws=EN*aypIRuwS9NCr|UM=qM)dO0fLAO7&iU;p~ouU>s}JRZk!{OX&p5+@@wE%)plc4Ff6=PD?JBFG_q>)~xza&2n% zAL3WhBg&e6=>ZZy4C#%4Zd|kI$0v9K5NwOKmMoyp)clDeW&pOpMP3|0MfRQ9HJE~b zHi$;m^%u3`h7`uX{JnkMJ||M-vpXw_#1^WMaO1@8Xh_?tBhNC?!9xp!P| zLr)W8RdMe^nNJYDFG@^-IuApiBXGR-Xgc;yJ@E+?W5cS7RF7fa-mjL7xI})03A zmX*joyg3di$e754h3Z~Vy*gYa2R1XQmy!ea?6T3Wp;%lG@cGoALY28d6T*Wp9clsr zCR`PvU`}*lY&+T`0f*ZKB;JSY0Y35hBi8UUiB zzvHrh8yh6`WPr9-*!b6l8(gty*@dTS>|gy5$?Dx-H`7>6G~xSuKF`ZCo7wa8b9h&~ z#%ty`m52NLKX^`aUB1}Z~p}mef#d)WnSjx zM3srq&sX~G-lh4?CqaiB+SPy9{}dIjO}zi95gG9%P>&7P;J5fyr~$iX{$>$)D=Y>R zu}=93W`whl?X7eMak+0F2k9ul%x~Vjxxc@6^M635gE3c2Uwr6luvPWOSy(UN;xq$m zxa!XhPq*y}53X2)?9mRs*-#{)Cpc@Zfr-$VNR<@WR)~*(tyB48e`)K?jH8Wf$Ni2I zC>Yccs1H}p`zbfS_F%t@WiOYH3c!zFa?a~|o~A>|w3p2TrJEG6R(9cDL^uMH#1(Z< z^y_xP3YuoNA$gTxk^5DrWb3*TDN!;?B8h5zUuR>(Ft~H-G>yYB#;rIanwMo7N4IeM z_(RkVK3&89T!7n(%{!$ujAQvWr6H)Bfc2d^k{XaIaDTT!X{nL;3CInCxNI*5V1vz$ z#5%|}{!a`td<0Q?Ky4w0(ez6oqvK0=LWm{ZYi@WJ`%wuSpRReiS#nnngJm@|Pr*aFH)z%?-h)&Bnr&L7wkd}sFU>2^c zGz`hV1;vK^AG!#*T>s;knlO9NPJiz~heEQo>i%QqN`f2jX-G1T!#U5yM#g!~IqR~n zamUw;i7chTZ+SYaaP_+=y%p?=|6XS$!tL<17=C@(%*rNsEO`L%LI*B^xyqb~Hpt@h z-fk;xp`a)a0Rv7th}45|`Jmh>2yI}9O^8;_ulODrXH%cHDnb0zm-qx3VGp|a61xi& z^YESiQs79CEB$F)4zPWzCt65q49u1Wrp=H8M8uB*>|)&jdoE~RYy}iBt)vw+j4#zid-kQ<6 ztjv6O`|9cGv7tYIw$e+Y@xH0BTVk(!X{KqX@6=wD{$Cz*JOo!onv5-5E%mle}3Nv>7xShqZeix$AM@_sq9BQY?)=@`Y8#sq~v+2QsrCB zY|F9^L#kKM%7?Tesb-$ksJQM3d5A^P56jI{G^Of_n1*iM2N#p(gT^mtp|;bLB|>@W8T0T?ids9KVY*;8?u z310%OdV~{^s@;*~8u^69GXv^cQ1S09yT9hlWGR6W*Jv11M8&K~ktAJi z6fj@z*_P$m#Kerh&3&tl$kg1%@8@GyOzA{KMx>@9LQ2dw42h11bY6$m#2N3G&{YBkhjdwn9IaruU}( z1~qm^9>2!>u=>Aw^XBpK(FOeomEpEOYymIIkK-6#!9&S&R|JD#ktiHDXBWF8Mncc?Y+!}V-6=)?gPb=e)F$|+~ZkM4w;ru+GspN3oPzR}jILjWhNlo;l zsvZ}JXmHQ|BA7CJz8hyYejq-&|IhX=OXZ6fo40Nq-J;ZySk7)}EIBe6q)D*vUNm?E z4I8mtwuhe0dWHZUNVQ94aBSfP=xjB@AYcoQt{5^XP_&tHsu{|5d0W3k-dd;uw53qF z#wav6?L}z@|BU6rWsI2uB`WgwC1WqN=BC>!CQ^kf=8aW`QYv*s*iW3|szXhiOT_{% zT8X9+zd!^SrD}UYDF#Ely5GS@STAzS6^xh=$7iOijg`tz&Zz z&#vFpT{cxB6OnR*IDn+$msyGHDK(q#9_Vsi#^T-sZ+1xk1(nK8gHRWRYv$S*NrQ|{ z3r*A@f>S<$YbOM{`ev*4I2m$5EXd0%a9*z8VMjQm9*Gd&UE%ZAeFV1d5B5bzqcpp6Bz|Uw^%>tLumJyw;AGnatLTl`JApPfv%# z!HJR|ow>d6&6_u_4-nCpU;b(sSJUye#@+$7N+f&Mv*?TO>T7jOqr)cami zOY_Mt1U9`iA~n9GEBF;J8*9CFCjbQC)U<|OM7dVE=^DonH5ZYTG^hbk17S0C2Ss$M*Spa)mcdDOr)dnTvZ#kuQf~5J@7mu1lE|yTr4)2%1vl?y9CE zKU5$hqM?LBBbSkx*~n4?NT|m4iWi)cP`NBCl8A{k=h(rNQbh1%W+7H4Ay$$3Je#S< zW+bLHmm@Rwy9bGg2Vcl)R%ase)|iEurCd_*3(CYSWW;z~H5|YMMDGi5ni;8*M?5N* z3rgjHvCFR3Jw?26^@l>xulsAv90`+|1Ge&6JDI=OcrZIedR_7uYD=iS|15HYvcIt%xF6wGYKcXxNp_WXPfs@Uje zKUe9u24~tsOC#p?RIaapa@fm*!PbxnM+;5k@l_+HH%9#!Lt~9X*uGo}s!W8o8G@U! z^>e4~u|o)X;lP8daSdy{I0()2?4aB5Bdi(h+pL_0;^CWtiyd;zM(*zi)^8T>Z_p)N z%!WQRB%+^Vzkq1M2+jw4QW1`u8u0EH4N*2!|ii z5p4y1eCWwCzPa{o{}n=JGpP{ncb^;9(94lHeTKs*+A8x@`40Ar+{B=u?dkdXx#{kB zJjP3|H)#1f3k&q@Uj{vlZ*hrmUO|_xA$U(u@V)KnP7RlD4D&I&_?$Zx8U>i1YBdT# z(+j?d{9=t@@SVj#$-D-8&6Q5#x-?;DDYU&$30AgQ@L&@_TSS-tGrL;{UEczf8# z5Q_dZO<^^O(hC{1B@NA40agfUrtxe}HDEa`NQ2dzg>n^-%k2xU2IGr$3dNlw7-h4q zQ&zQYI~|V}E~8CSb}Fwc`&AWHGaAP|N{PrsQi$e6k)^WO*W*HPKoAjyjwXpk#F!k}MMTx=)f;9;0m#?i_>$bMD*0tG z>K*Mu`l(*j;ZRy=YhendF@T}xe7jTbQ}+}W!%+sD?8V~h(zS+J}OcaKRtKO$u+Y0)6>e2fe~kLgDa5XxiQBQeiP0~0qIvVM`)@RItqY`b)L9#&N3?xJX%r7!E8HOL z*XagT$Yc=x<6)N`?t=F}rR-AI4=f)QfFHTs+}y?U^Yb%vcJO0ncmGUZFigIEesxU5h9S8_i1QdCb{zm9%B2&waxHZrvYc0!Dw)}ee-V4XMD+CZbbEWV zEQ=rWEz5G4CRJP3HC3<<>Oe$(od7j>lw89$5N85GUjilKO;nEc>De=F=}QbFO7nR` z3mW`)j_!zBePA{QKR+dCkf%RP_gT0fk)NUx&?W=f!f*ZhzqUSCt7HR zK|tl}dp3)kQv1Z$BTAW>T{1u;feY#1n2Sdc=uvLLC*KTqo4PBU)$vA^rs+uL%raM@ znan(15Q*^MH^qg?Sk*M^vaDnSF?srGB4c7TC1biQ&_xt3smhp$3!0cw5{Fz`-3i;w z!6%7m)@5~Z&ByFQGqDJfF^igVq2R78J1}2tQ5W@$L<@r<=2RE0{Ak74Rw1*#WEOYP zx2mK$)HDDe@;b8-VO}s|mbzt^50TX&)2isUL6n{qA(~j{>dM>ik=8UlHZazY2Op@@ zXACO|+EMLhTq znc2GL=jW3f`$gpW`Pt014hs~vdd()w{PG2c^NbN!i=LQT{&0@ zF=X?6y0)r+hVt^ZMundKQwLW)?TT+{3zoFq_kIjLIMMZh=;#baTWOVm=2utM{1yl-aLScQ>aAhHmVyX-e@Qssc3efF8E{_c0b!zIGy^~>)5lQaEh zkWHJ-L;q_}TL{P$ZI$`{lURXkSRbaq9^~-D2I_ix)huR=inka1qOx216Qn@(pN3)Z z`#gNzNv{WcFMe&qE1-e$bh_YshWr5iG+!+08D{XONJpP!#U`Q($V znkw{!Ey1BTNSk9+2tx>JQf~|+sTJ@MB(NgT)?ybe^k(vgT=ues7XwKsTEinbtzo=^ zuZxK9h?U?i7lFV##Uni0vYdG7MmyVvb4KdZOe(01I}`<<2rB{sxru3dsHj-RhW1sO zRV=}=LZK5noq~f4W_IDYeBxq#*rkGMxibSSxJ#w}k}HEFRr0i?4!LYD-E&IfVJKB~ znnv;jV9b&@C2_YOcSj;(&t|%=C45Rso+#T~mw`E!?a8Vs6W-g%{ev z)~rHO2*Cu1k2X2$T>oRW8$l%cMJ(e=C!=yiK6aO^01n=$Cz@6o?ulrK3>*A`Q z6#q%{2tQwa^_B1A>GbUJf2bTBrFC6g$)v438ojvmA5(}6e6I0Q)!3WW{u#^e7M9ECI~pJTD&Rl8Prr z#xq2JQ;*5Y!E_u$qeUNa-X-Z!y9pEn>aGyc6`G60E|@ND33niEPhP2Fqu<*L+|!!2 z%*PqN+Q?Uew4r$e2?W(61*=9o9Bnf;7Y;m@LeQh2)J^4Gx1~x);!vf)3{JfM>jatu zs2p;ndNd)2@S3VcVF>03t5Jf1MldM4IGZycA7RhNqjr0OPrRW-GoRkM+is^vASDqC3Gvzp~K zFKeEcbzSqi=DcPWHd7YLtD3Q?87UEI_JNlWKEeKpB0XH$4XK{}%ohn>IN}}oCY77I z)rxE)Q_P5&o%viNTO{yl;pZK092k$;d`G;Jco>dzLi%?9Ke2FIAEWh?6k zMqtbRtfTQbiZ?JY1y-VYD-`d>04Fu&1yy+6#XL(Y*PUwjdf?#+!sK`@=x#AKyz21cGwK_bT`aZ{>|Bjqvcj%0~s@ zCodwju4fMe>c!n}z~i5pZJtYzie)*A4D|-E8++0?y6+GZX|)};*7WAoOjSLakcgNm zO2B5Onu(Iuh&`%mrZtM(#a}Q8guoqH0wf{8*xmq%oSQ-VZzx(2kqD(1ZyFMhq=7nY z>?0Bwh}2S@CL<`2Bj-HNK09~WZwwn$r4Uv1%KmSxyltJ2mt}E;4`l<7J{o2df*o@D z7$?qgmkttLjLl{!vX@XHHAs&5a)$XI*Pod^a4pe>i+ERF(E$Vosj9Av`t=fKE)Fi{ zk!=zuNhuA<1AdhZsWT?jxItsR`tr$T@t;$Sv#MwFNk+WmQunE>NoKK0l^rc{La0 z)ilRVO%L0mDkPdUXU*BjG<$4Qq9Xni3yTzSGdLv?v550v$K|rrm#wH%H>)yx0qLAl z@*G^gQOx3zQg;h%D~HmB`(F{k$F@-v8z77ZclmC-|4xR{@W_U75+IksxmiDk23!MB z5$2KR1Q|h2+>5z^SytsI-bU7uzbk;0PzxDJ3E-yhEBv$Ghy6YoF8g_dSn8gkT+Jl^+k(vYJU zrq9(57^{aYHD2ORyHJfS2StioL-9#m@QntW_FpEm->bX~mOp?{d{h8_w zQO(RW3=@@&bkab~g*k=DHP7d1It)WvmX*k{w4kLsk_Ju^paEaJ01M=;>pD%NU7VGR z5s|CG(s^B8SJyY(|PNCF!SX4k3-e4@g3~a3H&>oU%jb@GX5p@83kHm|B#<|tM z+PT{cQm*It*?OF5SQT7C=CCbiLVHQ{o**Y8ZK;DRR36ORfUn3lx=}P9Bnjt*4I%?* z&>P5K$buAAeD~~<&P-hiq+&nzIu{=pGj+hI>rghjer~FnIn}cWAFzisVWN6KL^TF0 ziJ2vld0D1q^ka%)9Fj;@H+J$gjgrJ8P_1hohSHIzv+&qcK1ycRT#|p0JF1DKl$LeX ztX1+RB2x09n#XI@>bfn=%d)C_2r;c|Hi~#VQsjH~%@q*k{i>z2hYRy4@+))Y-qlH< zxGIsbuoPg31r%XZ$>wOj0gt#?Y-U6#+&In(b3|w2*kUd>j3v&0Xv@iZmf1jHQ-W#5 z^EE9r&;&oZR)8*T1`q(>a9>mg1kU0OL?Qwr6U(LDg@O1sKJ?>3+e%k~-8g`tT_K?R zGnZQ;cK1#T{I>huEWzbP1E>SfAue7Jm>Q{ zYF3qih-g_JqK?RqCS<%&UY0*_6LIBVXzJw#UnnoYa5I3Wf`V@t*6C|DT&#K74CaNV z@Xy_6g!WzspzX5vEyOY+R0lJqtwuX3<_~0qqC`hD+KKEbI=m(j3-`C^$&!a-PI#KuXCqs8_FE ziHNW8?m18Mj1&3Y?|z5y5H)}Q``O$sK--xl_A#!yo3-n3tgh@i}#;Wasiacyndy3#s1-r4M~#Q#fkX&`813|#5r3U zSk>lbDH#Hc9NL+AT~&mar6?6{{#T`8V3+t4tcDxw^O}o9PR2xPWJW2ayz08-jyCGbfL*wYs)-R1Ik1Hk zOF}{y8!%mHw2SrOUFOiTu~kR^B80vMaoK>%A;Sfb8WOaj4li=hhLz$&UuUPKV1BjFR|a_(RwZUbpByW0rp1iZnC_^m0cOga0x3!Y`4Wag zQ!1z!#3;x_Q>fk;jtL@TCZO^`lA>C?jOWk+!rq3b0r)bcdFtqCo#w{5Kd$*wJ++7< z0zbeE)3U6~vMzH8 z|1;0Unbp+RoZZ*ofr~EAJjUz}a-u3!voX|vIaZRHi7b+}!A^;IVlOhg1TZxs%IhjA z)iajR;x59vsumxrop`Sl!!z>?;#M1>ifbXA5JE-6uJBLnAa~+k&sF| zQ{h_WpxzDR!2R9*7B{;8$-qseX`vrjLtSwI3@iqzIswKutbw*%rfCp|9hRej_P+OK z3b-tN{g^mcCg_PKv|e3(e0=mHYpMo|Km6ej>$<*r_3C&$GPB=@@q2?V+6FG5jvZrY zhJ<5lD&v?1xI;`Zm`+1#@Y_aDK$LeIXsm5+)$`JB>7Wb3-#-Mu2BWm(oWGY{i9 zGE=+hR8(yng=v)@x*I`2x;sX?yPKiAJEf5jL52>Ap+j1_QyQd0Lb@Bi z^M3qfE!NDBhx{If>Po* z2VFIhUmt2E#w#NERu^GE!3Sns7Uqa?KOc2s*uUQS{h))gq1Yy;n6zMyHT5p!S`>m= z)k2zMhdh%iKVKkHqi!-W-3H&xA=G=><0O67We%`OqS^5$W2dO&aWmlR*#|LvZZniv zARp7N7|vtbaK|X1qS^9}SQ%rZ5pe&0yyqM902@&pt(*8Sg=3+ls7-fI!0f~Dh%j-f zz8(7?6gnq|;_)K@5~D~XF%IFeNIn=SmiQU2f9fH8%Fq(xNp$j}Hj&V&aH2W%tN1CHiDUwYWI{prrFZ%8kyyB`$g@jL!919#${_P$W7fO zrUq2UeVz8J@Q=?bA*7rnNJMlg&zOuHN%JcH4g7Gc)bZ-b?51X~{38@z7^4p*8bv`` zfWIfYe~45F0hLBchW{m!g=(s+C+VE`p+Rru}*J1PY5db7bi8h)CBMf^dtPkJ9 z%S+{1r&LVFsw`9pu?W%8XxT$_U#G@x0-z$lC~!SKcD_D3ciis+9&*4};q^6mVkvZH zSuA(br*Czv^vyez`%Np(u=%kX7RKgJo3UnWf!Vr_fU?#9eB~mmdHP1MxNWJ5*et0K z!lsHWi6%SNAABtiQ2pF6dPfXg;~F!_syzvz#q%urbU?*ERdFwH6?6E@#(SD5L z(&0oD%7z+NZUjZF{_aD%XG!XeOjR+c`}{lc`rUrEQ~i&{oIGc(m6A#fTG%n?weDKi zGSvfr4pJHVSu2;;lLy5*d#1EO*AmAL()rhp_q!ibAav=B{s3Mw$Dhg8e}Svu{J2LN znbr+c4gJa!nKhe>OHF7<5Dr!w&dO{!K${ZKP}P$xBlKZv#E3}+xHHv9ucupS@%-)A zhJ>BOj<)SJcs(4M>Wgyo?&2Jl^qoxo*r)C}va8o>Q`TS5`ZnLM^{t>*_t&Tbk0-SA z>N3k#Q1j};?@jGjGa~e-;O}gM_7K*zh1?;{IcLn8w|eKz^jxgol4eJWtWQk$Ix zG)=r44Zf5(ao z#$4Ibu&&!^?}P)w5@N(<9#*gw2q-c{`QtA?tWvHy*U#CBakQ-SRlg=fJNwLB{5%{% z3+KZNQB}6`OoTxq(QQ59A(D_EsI&kG1ILQ4&Q?{5!-9xB))MFDu{SEY2mmL57}y)@s>_SLPztU zTtpNNZNoDDOhMtV+A3XY(azw2qFof6*Q$L=qf^chBCY6aBy$<6k~!R`=;&BUUctxd zw7d-*f$JUU7sqs(L7JoY(&9$1BzpOFO#8p$iF)vziQ}=$a#3vL{C*xF5IVMHQg64S z<}2=a1!DP6YMNWSAya^g-R5_~XXr$4B`rV4^z*P*ogC2*K_=w;isglO+S43H zc2Ca|0L9$p+5X!|6O}ztQUR^U>`j`M$7NGd2_gr41(L4JOzG2?_uOA-r#@wCjOUD^ zyLRW((oc$v&DqOF$Ny`1K9c-Cr|6!RI;QD~4>BujA_+Jo&tggI8R2n?65(prJrZlt zP>rX&Q{dp`qx!?1ADO}9>4i3LOI2bE>%O9RMtm>TEJKAJ6VbFQj@O2m=_0%s^wwA1 z;vcQ-n=P5ZvJ8U4@fU2IWInoFTYM2_?;gLmGiW%&n^Y#eH1wjex8_5@;+*$)Q1m)_tuvo%6G^- zuBGg93WxWhHXpf}W{1xiC@@1)8c#Z~C4DW-U&HioDgNg2WA?|*-3smuXZ>TND~9nc z00S(BM*k@za}GRf2MJdV&N=C>ov@fg6MSnKc+|$LqVL)np85R$p{2Ng*&u_*;;6Z! zW65v#M2mk|gH#YXUw_@7`cWlH?}D{B4(FxNu*60i$gbU?3Otp?q=+Lu_{j#Qo&$2U z9CPZ2Hcww)DCdE|`Tl2gl8o(yi!=ytGfvmm-`mZjRKjN6gM56pf36tb!|#*d}&}m!xR;0 z?g{+2w*#&1d)IjU_o=QHHRQmLV=`eQ61rIOX@6x?1U00+aPd zc>025m{?dUJ)G8wLU!q4mA>(&v8u(+J}4#cdm}Y( zLERHVl7KbtymOFwaIWZ-%6J>@?&}Ff{Xl))VOA4Q@Pot?TVg%%l*fd1z#i|E-3-{J6)TpyV>1v5 zx_O>x(3HRCK8u2;*wIY_&Ra4>#B#q37CL>kcq)iB0)-W}i|_BpGA6QZ-~Tm+LX{F_ zgECd1@JOwgqcrfE6IsC7JMT%qR&W5SlrskUxa*UnCTVsy>4<`+)1 z^?tTyXw5`ZqJfphNZmwplYMD9e#jF88i|hgMWG$JgkCONm_D;FcvSYhtT5!REz zoMLKvy@jRzLsvy9dFl455wN!7q8?YhW};sKbYbiod%;9Kg`_otlMWWWUv8(k#=u=pClgUGA(y?#Lt7k7sn4>^sCyg;sr!Olq% zOQk~lA+DQ(>h5er z_r`7v4@e_6lCz-*==8@Ngh32+JyUj=o;i357&LZcK0LuIe8h>pP8;8f7|(C{Rf`&d?7+GnzR4 zdiiV>?uoXvM^nYtXO7?2>#$n+Xv%9OzO=l^1VOhwPjEhAMcn z!uY~a*bFWIY>{I&FO5*Nk~~-#Y*LtPO^nRjzBz0g#*x#jzpe$Lw@O&b?jOVi?>o?w zysH$q<9F~rzI2C!yxc51Z!a%Yo6JxUQ6>%s#YFFmJw?6N#6`9#v@Tza{{O&EHn5Be zPhuU807C(2qV*8;HMLFu>ZZMi`^7CNVvled0RB-Vp5%rQ75rN}z?i)7 z%Ngp0*frrLzeN!cA(WHO_MnQy@ic#0n6>0LtUsnVb*SXv+K}>)!KV+~-Xij2lKN&o zpi)&mhz#Dl&FP%6EyYFPLKBhLfCgt>QD;aCE@B@N8DLwH5n;D-{xlNAC;yy+TTEWm zLX%S8nkW&S;&pzV?ngu z-)oUAWutR`h4M-@s-XzTZO*d7;b^VDl)}q_WrHN-%+WFGSFCQj|A>U>+T8gN2u@z= zD{wvUj~Z%7X0fNUc<3;EDq(zn36izdP7DdSJ{~kaZJfatcOa0n z?~DnQkw}^%`J77>z0qv{Y)G_oU{hlzH*R{irRO1I>U{Dz@QsqbgzC(r-$K zPWYHoY>@{*P_cMyo*F0e%MWWR;t>TgPAqxT=TiI=tqI^KF_!v~J_;=9tQmtJX86EY z*9+?pKTk?ZtgR_d48~YS-FWL$v#fs$Prh}8NPBF?X%}3+Z?Sy$6H1A9+zgTakRUD+ zij1%yakut6k8#miQ;LLy&BTU5)OI$+UQ$dwZG%k2i#Qs2=%^*lu4`^(Obh^Ft}bFo=C~I)a(!15FrCIO>is^o9VFP$+U(# zimI0XcZL1QI)5I9R38)!6Pp)HuM zX`yl3{$p4n+SAe$G{2ijJr2t-wiMPaxX2OILc}){DYE~vjc!E-Gth484pBMDUoU&a z<$VQ-xq0ANLaL2_p{^s+06nZ^gSGEWFRU58jA+&aI}M;Be?`dQnh;~C8$(oQyKr7+ zXS-RUyqOX-5!~TB6Z#Pdt)1(0w=O5o;O_!Xh1WKKX~(ESAiaYBS)KMfkG=%=4;V%I z`}XMZvFgT!(Zlo#V~!g3`|Wl-)_p#Cw3CWZWp&1Fd?vi$0#WSon=m0(oral;;i}E> z#;AYiN%o?@g9!MAgA;FlyToFycG-q8>r7jr7KmW~iqu|MI}N({^&9v92ab7Sv*YaRzMJyAc{P79OKHt@LBVK+oDNnu3;z0@rh+RgjDZYB_{g(eEva0fiqh`pVgsW{ zGHY__^ZNM_^Az3EyLAE!s)fJFUyME-dAxBI9z?uPrzxlV%cD8Q+l*&L$#F1|v%PJU zyXj~*YFLJ?3GMa&{T z4}}|YFw7}hf-R2N>On13rH8Gmo_0nHT0CMR*=bhKfS#~glG~v*m*uI)UER2t!X>eW zXteOj(!~W=u18(i{1cd&tts@g)@7aQ3R?AtlNok&AdjqXDPg8J=kCTJ7R<$LQI#K5 z5qqt!bXNp9>JIyNGJkE^%Fb(H{tHg3D+L%Y&2U=bMcuB}F8v0|(Xb5OzIxbn=7?7viDhc2J`PLRxt!;gG{S;uFzA9|%eF`3E+M0u6F zjmxGpB)oAD|0hBvF}0RZEd`2%+XNHru_nrxL@Wt{K@ zJbtoVar-j_xLJ;QJ0a69Q}XnQ&+D9qxV-)akNE zxxRD1T|psTr{`Cr=8p0Sm%&!jFeLYTq)({tXrAlkxmu5maC&{h4#>xnDu?{^4u0s8 ze)w-CM?50-vMtu1T>_u5X4lFg&^$OfhK{55z;hZR}RdC&f2a#6R zDt&n8V^t||R*Jg>iuFs2*~X%?WmMD155|2(3FXDU4M!)|J>3%dQbHU+`%J5qAWb4~ zHa9$|Qz(at(?CQlM-~!k&+ix`yCKGz8Tl_?VTzA-LB`5V)PSK$d~CCg1(|5S?KK06P)9?0DkYU>Y9o}b@!;s(YjV5 z>*7P$Hc@B;h;W1nLkfn@LOfEZ9ezPDmHS;!N#v_OGWx46Ti zhT)^38`N)_&+vQ*^-*mOB1)sj3BeJpQmqCBMNu6&B@?V=1W!bBh*2PhsL)Iy??gmF863u_MRUy}QHq++V zQd63zr?f{%^D%ndft!MN)uj;;@XVsFwrffhz3eM%YcLoy;@D9dOT&CWo>y`-bA7KI zPup)69~nzlzl#$UHEOBGQ{7nc`#iViQMHa?#u z!s4&(V(|O^!S}=_yzHIJyTGOna09j!aTgWQ90Z6CTCp+fS=i{MnaP5W_|UW*iC9^S zkkZGP6b;*dCGYty5}-gyBj&1_j|ySGalrxXF4y^AXf$NDydB+KF+<)UD50Sbz%AQ> zlw>%V92%)lQ1ynlHeL9e-$QtI&+Axv+3ymj#V^iuZUmnX%%sFgaU#F1q8uZ}eLJF! zw*BQh)>S3x-6I4yG*%G-=O&TcLITZZ7AW#%V28L`g&gwfKYgy~`j%GIL$+oESwf5_ zaowtr9=i-MUU0|Py5y#xDXNTEi$_$3~M<7k}yn7YbNIM$3ixiIcPU{@!-J z0%gG4Gc!*Q*X60xz(%gMICcJK#F@1@jm9|S=)LiE`2ZOD4c7o-{@z@SnakavBPMA# zU_uZRG48vS3K0wNaRkY>P&?hV&{D&<$~0DgqjeW)SZ#d%mA5vN5a~2j!6nkfJdBX~ zTsi9Xd=cLj8pSU_+Cx;zs`->?f|au(#L&v3Gd$j!Kx!OF{467^5MSc z3uj>eM13wplVpeVPyBL&c6`hJBW4n4;Re+=(d$PyHKc1P_r@Ck_uIJqKns7xIsR?c+@p)JtZ47mucRkqJC zdO@$6yCIV&YbH~UugRdV`f^VARC#(Ca?vXZ4EEaNW3~VWJ1dgF9O!?i#l4gwVwZuweyA^n=DtUidf+Ny>j!bcUl30e{+Y+a-v6od&-WAkz_`xr#)A2|&vBpxli^i5Mab1{K&Q?VS% zQIKXFBVLOC77K-pd9m|fyjabmNAUcv@-M(!c-dmcs=`U@+&(9gMAVWP7aK(O)}g^V zJGAd(ypqImwyK7NZ!rg$h8Txo#46DNVWUSI=lTMDiyuw{az+i5JD7oN z3y`S>GAKp3YP2w;E;_67_8BfVez9K#c63aX5z_BPbkaAJvY-`Mek}*&6?R+7p;|+J zmPCG9rH;t(oc75ZW2)Y6tj9BsC$alBGMKF1@n`WW!4?ZWOCY~n$>cBO&~lOuvw#}C zR!OlIW0bS6c1MAPs=;di$;DiRbHeCS6QEr~s(H4=ZN@Ex*fN4K30iKG9od*(R~pn9 z26}0w?>7ZVeWqanzu$;EN?CdNBASP3k=7f1z?hPV|HL^Px2hCabgk~J+HY#UC`%F+ zfSYXb(pr_n0QkXn14P}&(*Tj=d0}^m2h2#fG;Wu7wO(Ns*gHnb!?qj78<}*Sj1M@q z;*bn$v}tLYSt|Q)2 z^odxLqjb)wcxHF)_Y-O>ecJHm9m_vMQoSqw?i$EAXMW8@TJXZj=7_AsW>#ls=LGUA zX+LvUk%qoGjL0tySxlgcV)zOgq%}6T=TGVQxjHqVvZ6#9^X@@;gFzHM@wIo3nRc%0 zUyj<46$0Y8nDm$3*W$nS%uip_AVQ@E1%v~UabpH^Rb@+OXivgjaF3Gue`e+gZ+=k* z1Pp1R{J<2ha*UW8n&N1T%P^a=KAQgNnPrJ(O$4_=!$Z*Z?4 zei`NG_nSE!Vj=lmQ@wzZ22e3P-)~s9Yw2WNv_k%}O9=-TRUjCYueQ8(S;ON7lFvf4;z~E#%1e7L{Ah3Xek5IxuBW&$Ewj06LMv{S zm`*R<$w=3e%VVNkkMqK4D5{qm-PXvuen+h+s@q~geu`M|kzj5HHgh20(Qc);-pRnF zWc#%9RVB+sOe}W-V6iQ1pQ~QK5t`hilhYdHn6uz^UkDZ>r*^w#fWbbqDo{kaR)E&8 z3u0X`u;hJ>=;>kI(ROL(o;pE$6({vYcJ%oYZboGeUsTkbqu`Rd}p3!-O2mPq>XDUo7V%v405U6Z=49HG-sFk zt075u%-Y+PHblqHl_i#Wh*ACUuUA`wApln#Co+R9NsF0nh=}Q zv9nj$bH%3HRDHp@Dcq-t@PQHSq0{T)gt9C*5Zt&Hot%F@lO_VI+Ds#=r*Y>XDSza{D=Eh{zP_7Wbztex8674oOFy_%Q}ty`njUqe z-*GlEt67M{WA@BHYPr!{)(m-zAQyD|)WTt8klqYqKssN^9Yz7wo}jqAU5|#KOpB4c zBp=;Ge0WJc37CJrM-SkeLIBO2=h+%2U{GKTD52fq2jN%@AjhW@?N)!O>^Gwe=0`?s zQahTkk8JtD`HtFcVpFZi(71i}mQVCdleHyHJ>gb1_}lk#8+|JE=;lZqw}bU>38^V| zygUT7KrL8SN;Dl!M`v)r+e;j)?R-sKVJt#GbN z$-T?>c`I`DX;ft%rJR=4QBv0|lELKYVSa0?U4SyDs7^9%s-<$Vgob8<>17yWJ`Rnv zv@D*evdNj;=KnY<_(h7N#Y!w!u0z_YUKp8EYp}TW1Go=wmpSHBmr>OQ7=E|*`i1a9 zw1N9l`^|nWsX~{TNeR5>GVT;YID#Kyr2j}rvxR{LHT+f|>F3d(n%AL`1ji|1#WODq zf9zx+=_4ZDw(YrPBrl|)9}M4?u3dR%(x5sejQSZ>>TO=V>9n~Vh!pILYx66N1 z01Js1@6P6#+xezexu8yCl|O$du5Ix&D42(zD2`P&Ej!@p^xJFngBRTegq~Cq54qQ! zmVM&^spE=tqzi)<@ek`m-bXR%PX;cr(;;NeR{3i_QE>C#&lcY(lUe>V8H4D5a4T6X z{xPbF5T_Zto?SeoMeBRRCb1-WvCVXO96EvgE*y!<2`O(z`?vF3n}$za3`x3Rv^&lU z`xnmHkURVqv}tl=w)B0HgCi$f#?O@Tg2X)75=1O-z}#Q9dx5=f0!_)x@ag0B11;9Z zM-wm!#?Fx>cKBzin7;18BUS(Ixf8ygWz!o6E4yN?bQkX+zDV2_xFESNqv!}(GPPin zKuB8ZzT`>Vgek-hYRPV9KJrh_R|g0(?x6Oy`Z2-1{^JzbrRixMAhrJM6kbN!cX>25 zpT4}j&0gd=4(vmeChh|O>giq<*C@UGzWLWW-WGs4oUF*YsMC46@v97N@v@bfNT=ew}e*b}s(qY_3AtCbFj zub5$7OlA8`jAQ?ZJ=&K^47Fc3a+8tJgDWWvC>iCA>6q3gSSYYP(P+Tv@|Ievkc~J@ z@2T8?ZvzM=d==KI4-AMll9^S;b1D4!R&{hP2Kh)P-B$2-B<2iTcGxY8^Cx7(e@1S7 zgmKpXd=+||HuY0Cnbk#pB0#==w9XK%rY-JT8}VWwY_Nv-iT0^LEE4+(UK8(eHE`+o zK(IWa+W!Yq4@+*)12L%jkaM!UEvGfyO&0-rDatKYcph(0^1=rzE zb|00c^zgg=thA&&r1YTU#lt`!VtDY3v;I?viSMu&ucZUhTi_SNe?PflP;u^&|KX(1 zZHej6ll~H2+jipT%g*YCg>he{Uhx6gU*qe#u`#|;pkkO49X(x7;nmkm2 z&kRAEc}>-S#fI_9C6|x4x1)6rKaU1W7}lZN=QS*&bu2R;x(lDc7p*vQ*=T!Nm(W35 zH!U-gk_tfEV*esg-9tl{#l+zLhI~Vi#-UiiADmuyBbQRnH^#!raS7GYrWh>i$Lk2m z!2cTDVA2Xha|RpwuY@2Oouvyq>&wUdqjz(znW8(V_B)D!J61z^YWH1RYGh)8yYCqX>)MPJ$7p?ZCU^Q^o!9(d{s z4T+Ot3f;f_GwyCpuG`k7Bzr$>^$zsRc@qkeu1hOL#O^NpXg7WIjZJvW|bN!}D zWKXa;__49X?^!o65SU227t8A}pM=>)ncM)}mXo4>+LD8NCIzyG$F~EPD`YASoM24q z@EdUkI6>^LMpuCX+7mp(at;h{4vcqJ?cG=yVBLUl+Jj*y3-f~*{f5&?^=brn21nTb=g8!INBo6&tp?cO4s(^OZ&9Q7Q| z5*I}Y$3Mm1TFX}z@SokuvXge92!CIa)cuHZEE)aujTrQmT`olxXGn2a_mZ0eD4!F| zcAsc!s&*?DdpXAf3SX>qf00LaQ{&FUVU{iU|F_>`3%>OZwr`BN>jQ%Dlb07)9)h`( zz>h#R?B-Z=Nxc`q?}LDZbt@1}1RB4zy9B_uH2UrW$Rmd% zG%W4A!t7jM=Xd<7>T7B;-Z5-pSAT|K?x;IV=+VX9Ik`pGc&2|)Ww`jbG4X&y%Q#QI zv`7_7&mZRO5o06Y$lxQ=_AkS*_Z}K$Lk5|ZkCkP72wPm}JQ~cy?xW>)dHvb_B@&4z zwS;Y)YFlFo?O$D+4J-Pu;McWUQMd5lyr`%>A%xy)mwTzxCAmTW_#(BgZ*I~u$RmSe z>lA)G@=?;vaL+j~w+8O*jl(t1;GWUH5cA#Vp%o*?zbLiSwX-#dv$sHe?C zT_vn*<1;aj8tY)ppyfFMD5VG@C~FcHV!qIPWT=AWj~ZRVI%MLiR4}NDV=nj3#;@`y zI3?;U>R{$uPW!a7=FFyIo~j&+AjD>VggFg(0xvci9)V7oFYv{+out~-` zdy**U`UltWg9xMkX!+hat60X%0b{t|X>(5qu9(oOScFVI_( z`GvucZ;_W_HdaQ9;dviz3VFB^IZwO?voUwFo(rg@8J_C#*G3#~%<4W#JtwjDyIud{ z_JpE51|i;^)2C?v>9Lz}IKsmm?vg2g(_;giD26eq+Ew-H8B`ifs}}#R$P!8}X(of8R_}c-JhrVAoEU z>n8)k5vfnMrf@uDYmv4W!6IGUzjWK{ydy9_ML(kJD@m;zJKelVrN|F*(NOx&`xq9B zb^-(s3p0g^)>c;TLPI>Q*R>r(=jCIoa*UBu|A@ZnE)engXX}@Q5}qfhYXX4L8h1hj zM{w}*QeMn=awEx>8#h$$?71}A%=q&~raJST+J9!tNWxXWK0PT?RkZ~6U=UTMP&4e` zTx~V{W@#3;aiL>ejK(UoWq-?kqFf<1ZO(P+U$r@Gwd?e^iv9tDpFeZUen-WnF>I4X z@B_Hk8Sadw`+%w!i^}x=L@o0zwjU1^5s7c!a8kIQ4Nwo!*a>bk&|;wUuE@#Et8pWfr}dHl-5k#xbw(37(1 z&q-76uEuX#tbJc`%FkvfjzTcwfa(}-FLQ98Dz@=~&+(mR?*SAm^V3at#M&Io+dtQi z_NUQ2@kVDX91ED(=)yR@DnHI|PjHSJUv-xu{a%DSZ}5;VD4YJf%S+I=OU`@Jx9-Gx z2VmZ8d;=wWsnwz&r|12eHRE>_V4X$)cT(Z1Rc>}SiVPOXvyn_EB8i*{ykOWZdP^8U zLdI|6yBk}Pv|1`TlD7GO3}~Y=9SLn-_ww(3e0)}e)wN|{^ln6$rn_?)D%3Gin)(pX zMay1D0>M=@1aSu|Y;aMyZVB(9J6oK|dZtO#cuO%#y=?d23|p;_3nE$s`EG}V&9)-W zoU~2*Twh_?$^eV_@3i9>wi5@da z@O>;{l%=WC>WYGxCChMst1b2)H1SEKa@TLS%T%%eW>A0`QpS)(i^O(@wTgw&U8gq(2`*fRSpPB| znxX>Nj+O>RypqblMW-id*U|UGV1o6Z>t7M&x`!8pb>96n{;0lF8gsptcGqZ<5c+rCb0*dS=^ZXbVKTL5eoyQlENn6>peRlj)>V8)eM#+HLAwcrw!*&o) zr)1}V;#emCUrl5s4HH~?*wpR^lvAFOU?c;>XdyHX1)Os4=s5?Y`k}6|UiPv2DDkPR zg}ps4(CdN9X;l777?Q7@R|CZU&4i z3M?RcYpX{PMXLpTyNesFsDpr<|AYztXgUb+oA#ELA0!K}9)dA+8sr16qPc*b-_7{r z48I~cl`exxp#TTvYAYru($cO4>M0V3z_C{WVNPbRXD^3R#?Mx=(-a+`JStpccU@P< z#h@*@!@+g5Lw?7uuGb0npdl_m`={I20km_vNaR-To%1Xf`lojx)GHqm1iamhU#+FO zYa}~u0)BAgULkuEDzV9OKt0*(-ww%si(Ok=djJ*q;{aU4?qKB-+~aS-ucxoiCy(|& za*d=CYDv^(1AI1ni@E(*ot-o)m$vqQEIqI7?dXS(E0TtQ-R!XW1Y$$12_MdozM5~e z>u2lO9_mXiyE7RIk}=RYC<^S6Jxh;{vlMWKXPU69hN9uTZEA+SP1#<}p zNU!~cUgkRQ`Ci|5^t*owaDqGia|JqWF7$lu`)?a$_3iAgy18{TPD_L_cq>YTHA5{+ z>E1s*=q)QE5=>Qwb$j8ijG=hw7@ftPzs3fBID;_t3$hoF$_ea?Q%GpJVvs>WWQ(SmEl0Hg+cOf08klj zGSFLg^&f0}2)NU0QFcCE!~u*|>?M9+5WGCw>IvfygfdnhKHT}_>@8`;{H-XN$rxhe zE@#5%?P58EX0Mc21uaWxrT^gf_*=2fFDfj|b$NV@k({kO30zYnLoc8SfUDrZhkwV@ zvpC4zpVp~GhvPieL{!0i%X9og4BEp7`m#_z%{f{YtvhZl3v~juaf;bdodv}o`}$jd zv_Atz31M+^Vj_y}!i^q(_~J3v`*{D521nHmqmyNq>{UUGya9z1%fT0eKhs&?-Kg^B z_vyPmFzE16;D6*xA~h5c_x?=2%H?x{n;&-RzN4)zC#0ilMmGFABrEgqH{Aqh3aE|q z_xC5Ie3@l{lVv1|5c^|L5Jc(Sz41qdZPuCTNV4bW2nKvR$^c`gUvi}Z8oV@^Fxn4; zKmY2$jC;!YO>Ihf7l{%z4mIb1YGJkfAp4yJ=<1o}kC3Mtyse}SkUSX(yxJ!je{Ie| z4e~&kI`(RU)6?B&(l_KrUXIrrRB2X9;1o9)4wbm+`quZ$W*-NNf~{PXHZ)4jMv=wK z1U9V4^f$p<*{3iKD!3?YdIgRd^0z!y{VgWJe@tqm=S(mj#f9A7waLFsn}1;=Y3Zk5 zU+k~WNn!?}cO4}~ck1@Fr%ZwNfu~B@yGtc83|RaQp+4C}mQ<>%&Z6(=?&94SsT|u# zH^n|RVvgp_MpjcObO!XKeeM5EarB4>fi?=ie>kB%-#1NPR8=c&x3~qjKuGH^V z@M@L+sh6TFS7%TVhXeZhD3fry-sx_g;cM(ZpK57TFEkciv{3DwIGC#bF!_4_dMJ5$ z8vHs4nCabxI{^B)31DiDjs%*f#&t}d&&#V%5(h(DEDaQGA9gdnKb!+wig-;=DB!zf zucs_-A-?wE=STg%wCU0SE6Y&^G*oiTsI1HXcH3XJZFZUn=X<%!V1FuLz5M&;+qyFm zp#K8{4&Y+&NJf9j)a41xxF z9if6JuA8gN?N=Y-*p=3*UiPQ*;OpuygWKENg$zv{EiLD1CX30zezqjeV@+(c@i?Tj z4!1v7o%K(KY1Qiqhm6FEipc|-vr>x^cc|7{i$_Sq(IQ%(|Yu9A!~13 zpi)CeG2?mBJj0G7FnmblyA&=|JW7*52#_IyG*`v;i2SKHkHAQl*w(La8LIcm?528f zJOlB-R}g$X29m9v;>6lVMIFv*KZ8818@^`KXg{+$ZL$05_oa<@#LX({fG~FQk3( z_wMf`q2-TN3>`a_SRTSdH$g;FqVQSOO*`s!G7po!?wAu}TVY~`lJw?3p?S%r5yuSozH_!&SGUc2?-fFITygq?H(Cw{_)121Yr4Z9dauHiF7Re ziw-5odzMSzVZA8ojA?$%(Ym|&#BCqZ>_Jyc8g)*CKnG@x@xO-Y(Mw|}UcJZk`oR?f zJ(bq6j6EV>%W9K|1!l|$I_SvTTt-4l-^V+UqfDh`@B|b{LZ|3g{=NBT&*<#09H`X! z%nnV**bUlqzm%pHr}jhU-Y%+)|GE6)q~!hY@~%^MeoLk4t*Qv@XXRq8g0*>zp`Yvr z0GB3A(ei+Ov;Fizo{PM-PH%llQlqAO_3!i9JVMW7?WTg^^os%BXi^{XP_Tp;ViBlO z>i1yUa|@`hZ0m#L_+r9)V$Xu?eT3R~TAWC3S(?MfoJu)#$@zUYEhMliGws>hf6R$K zY z_h%6DGv~6z5mFmOz@{7;~hQ!D~jnu*hAD6P(MKziOFVtRcL z--gpsaOj*wxN46yQzWeeQLvP%&8TTo4h?d5mHz`y>RW$_96v|6apaZAxW#!?BDTzT zIm!%#7hCKc1Bp095Ktc+geP#R|2J*e%i5SAAZdFq7Xt5?zF08M93i3_OV5rh60O6{8@ zC0QBn6IBf0#WWjg0^uQKr*1$TgSx*w1H<{|c)54e#os?}J{F7e<~G|%ijTy%G=mfV z{2;SVS+^a9^m(*+93srtzJh#bpTIS=fsX2pd$fP7;Pg)(XCEcRchT{Nj!zs# z?{_`XW8mIyV<_X^awyYnF^aZIV;0Pj@9*xSwDl?hkh{F0%C9!CxQtlY<}=q{DT6wt zCjU4eHmegNTOQ+`gHT7#fJbCMeiJQ>iLmoHOPxxcd3_;K@u$dB*n7le-h(Ubzcz7; zMvp%v;mj|8r|zz>Gg`DCp@lvdzT@yZ#&c_m+f_k{32iK49-@0%pE-z_rCSpd5#cdv z)5=rJ@bJfCnXg&mq|0tA{US}Zl1;T=%E;>w!rBg#_0cw;NSb@g3pv_B(@oaW%j%KM za(_PqBe+FXo$gA(U40%@oM2F+zaP>^Wg#qjv}cs2~sEk)Dvz1x6R zKER|ldC6xIB=E3`KWBdUT>W}Y`Dq6zi3NPfezzyTGOGdm`}mQEpoo}Q+}kM|X@Ry( z2ZCg?@9Oe19zH=q`U}EeEaX$%jd!hxP=H+&wH#*wow@W3_v*SB;Im6b>o^=yJe2QE z3INS2&ITYqsrF;R3-6bxfVFt66K!?|ks~CH&(Ec__Z;F6jq&I!b$Cc!?8F~Pkml2k z_Z~BfNi2i!CwF^aTFfAg-J7ek zzZ1J-P``}UN$MD~4qCbe61Fbw={&gS7+Z5BGUMFuv^G8mM^6awvsY&{+Hw?>)y!+y_x{nd zt2oH^bE#yX9>i=#jff+|C()l$9AVok!RfxQ+kKAxCGHqh5w`k__n-b6$2_$4Np^1J zhm>2EbpegNr1lrIEToF4_UHs!<*iH~%zSoP^!W&hljSMWY3xd3yw8$(b+@0p2Y$!1 zlQ>h9Zqv9*>mpWk`@~yYGwF%u|;|B{Ki&9_#pE#-qoFC14SwBC&06#w;AD=s* z5#;5n#CfeFFwosy20U6X>8lJjeFkj{)L${XZBue?Pt*;Drjs2h*@AeSlbkc+}$GIIAow3Yp08V zli%Hg?^2X9m*@w0o}L~atVobQ4AV87<~Z_AbV3Z&9V&I5p>a+)n9)sChSNeYzNw6t z9PHlxfUG1cDV4aXL)3$>^U@WoM{oG*`umB2fn|&Gyf!I&c}bOF^BwE6AR2-K{$wCP;Ak4S=zjSXr@z#v8D;WEk7 zSd6-*{LRJZT7{bxc!q`7Ym~CAn&6SNLuNjVgO6hYF2AqByay4-t`JyNQo%9h`T&tWpqF)YBA!cA$+G-%t7$ zJKN0nQcbGU5M&~cId`>Y^zT4=@WF+d0S22skX5%`DCRR&E->TtHR`Zr%MdKs&!T#D z>}?9Q!ykQUmSgt@abM)*&GCQoK7CRm8gPCOZjFkt*BlqG?2=1Hdsg(0;Ceo+F%_C^ z3`J-u9#jE+U<9q4e!W>_cKAX(ue@5;%2$|=VpaLRTt8rob~b5!0;h%yp#_c3$IDA{ zYc^!E)g_QmvQeI@W~SR-&z!hQUyS~z1GG@Z^uq-S)} zQ#u|xP7Zb+8GMp@?uC$u!84VVWV3GAXnF!UP@JBfY~sWSkRyOkI}PY_eYGRl8KLuy z6fg>g;KJiZyWmsR!$v!7i;AHq?&j%f{0p~S z6V3LY<>}GCF@R0)`yAcmAzm{hl?QtehM+1S%fsVZf6Ph$OxdvWx|$1Z z`g09$4f7M)bD6~Q7Au<`=n)U=gX;!v-C%^Yrv^<4;2Fe3+H85RVcH^6T**#o9b8-% z7tLc^m-*?GI~*Xrb+g%Z{BDUm~fs60NCvWBDWqW`Wn z$JQeYvJxal%ww?9u%9h*!fqq!QRt!?afMtuHH(79&)I5P66-5*ADC^zV>i#3;tZ{_ z@}hX>KWeSqHg~aCeQ^LgG}>P2Mj*Y`WJj>s)kS594t$gN!P~Cwq`C z6Z&-ROBgt2P2At*SRfnSTdtuLZ=x})-^T^@c@@f_TxidVgYHTIJ1#{hx=**kNQ9=K ztA-!{N+@YJjO>6eyfE;!hbO73r`FY0u#XbCVR6E^Yian)6|XB^@|u79PI? z!FxS3^tc^g@FEis$1K`SD77H1Al`AJ%4%v;SRmN7?Kem5rk8#P5&5tCoqsZ*`s-cp z|4c}1B4N>!U3;fgaVpF72;jnssPwy(KNz`?PkqeuPWCYYMShdxVYgPhDqsM zkhTfUOI}~47Guem(!cc9;}j@O3l3F@etGnzb>dK`s*@9L9g`lFO2>!SPzCAUYO-gR zj9H{BO3_`s^^sXn0{zJ{cjKI!PrUyfdZNykgRgs-Un4HXuMVxV!!Q%q#mX zX^WQzIE+)`BcLRk(9qzb;3(>M2k(>q@(k||)@QejB$q1Y^>K1(S6O1U3xGdxb`AlWY_(ZS-Tmgd4dZgizG36sc zhkX70cEuwR-d1^>8>|m&pk!DrlY-yYpPDmv(AQu8b0c5+Yg9usUVIn)4+a&~T{OMk zujf?s%)-3c9jX;H@Amf)%ZP?jpWKRPI*oZ+IhRG7IMGt>{Ql>;K5DyJL2&bI(E#CS zWq>xg>EcY6NiNYUVSDI73ROivRE%T`?tM5wfW&OOz)*brC6HLIT)fZBFi2%y33=%u z5+VhsxVlY=+L$vbD~nzDD(Gc#dHdcS<{Bo2FlPNtuPa?%^g?^kmdtN+r>oiS4-ZE5 znY#LF_N37>+NzI8tk1^H&s(0&L-3DKza#n;j%? z7v?O>u%U*?9bG6gZ;r7dJORt8fuAK9ZBg&J&rEP-J}2%*?+dhphbhVVUaU@TITk9c zN@b*~siJ{F^NFEshwY$mnhv0%MDj4En)Fi51sNi9DK3gin3c@i?_}Jwt;xJ#gti*eIDX%LVJE53Deb9dKFcGE}>2?1Cn z7IGa11jU*2tl*2*$4DIC^+H^UPyK0wOr@TFzc&?r<<0y5!49vri!M97!01?e7wp{=G`S&|WDQ zbUcUY{GS)+A)8P9$tL@Ug^KHwKNT!!n=dT}A}Jon0s~zh z)>EkQjhU1M;wQhDHO#PAbSlz70V(r)wMeN?6u z@4P|YU0XcT8+^8gMG*$V(d>jXN`D{c;B@pz6t^#JHhCjh1`}M%(_vS>G*CeWu%rI# z*--t=QGhc$@*Ml!bkJb;(6#^o@q?3${#sq?;;99A)tyBd{MayR$1jKt#cw<;3(Lwo zChW5BMEhpR(+iNM4#fFHE%FAck?$?qn+|jh;6O-*X6-iOV)`8eSh*uyw#)ChrOyPT zOh^|x-(n@3G}r_t8Y*Cj)~_4UxaPMKU#(6A3g{CDVyEhfnR%PPWdN^jATfaCIOBu7 z9$8i}P29NEIdsoj4+0k`m~ctH)cSl)j$sh&YF6A1<_mB6*7jQW3tWoK5Y;K(!TBk2 z@}G@`GqqQgCVH&v2L3Sa8d7uqfkbWoZy!Mj!iqo4Rm^AXdGemFQKsKkk7(JFrs+av zUGDijzh|=L$N_0WC~!$5bpNknD{-lG@xdfh&1OTW0O1I`K&qK;CaZp7fIajbt}|U|f&h1$2w^bE~8Q%XAbnN%F8%Di7e_veQ~bYH!HoEUb0FjyFsGEG%UH z$(3Y>wD1=A?@K5dKLki4x9yR;%?D12%mqFIxwo#lqWk!Ho1mh27B>p~0vHz-R@j-; zAFM%!!C=+DjS-$Kb89rTHcHXnUoJ03te;q!n_F61+S(8kFLi!;=lSm<>E}j& zVS38a{XIzRoWiLoE)f9}SFHV&D&UvIstB&J{F9`%GVdjY!W`7L1E@vsB5%V+G8MCBEn*7J)GnN+5XTt%wRTv&G#RrE|BSUp&$$7)bq~EQJ45~AH)BGJHpZp+&Uys_jBO` zV#I=6DEeZ`F)8&F2b!4M0PXzm z1W>qR8W(nix0MPnM>XbbGKC0!`KO*n7qE5!@8@lM+m2usNAE4>f7FezA>d93`F*tO zZPe!}#79DM?WvWHmX(i>j~FE(4RCzibj=JYiHa3e#70!A&3S-3MV>6{XilD2aL2Im z;<0#R-2*#Z2iVFfQ?mzpgU{;!p*9+gmLa=GAS z(IjTqE|NOLis{&BoUadY{C9gnJYS+y_!`1m(Dd>AOoX~C+?p6yq;TIIuhPowqZJXY z3d3V>lw=Xa=ew6PF<%b-KD_g&=X-p8M?Sw4F30_rUip0PEpg_A@G$QbOF)BwoG~_5 zobyxiq_Ay)&=SYw-f$O6i7+~zWWQhXyq(pwnWuYVqb!ZqvPFJ%%dzSu)*E|+ z3a(J!10mXu+tq#?az$T6oC+AITdi+k!6PjHDmYN9x=aUS{fWYVw^(>`G`hM=$%eAS ze{o|**T(3hSpM1lpN}1c9lE^_;g@Q{iU6Gv9$A#Sfrz*R<1`g)YWl7QW9azJK_8yr z7hGQm<1RA)T_uWaL#LM|-ah>52(}Ox#Ac?r=$m&zz*6pl4DFIpAeU`0A&QUket^29 zHeV)$NDrs7JQ1>G;55i*2$$6YPJ=5=`8XtW>HJ9$JZz{`8K0J5RQIrKM6{IXe$%H$ zGj6R*OojecT4%u$)SH&}Ut3xqiKIB0(TH9LfS8mE=^M}axN`!V-`)LDw?Cf2=!Jxe z8UsuuB)b^sUbo|ammSG?h<*&wf*s6!Hdj910#6-KeJodOx~Ky9-pWoIARjIw)Eu9W zGJ*Hw43o4pH(YVlKH>h0hlILpxx>}f)l7Dk;i{D{LCeWbX#;Vox2@5A%?C-q;W0l^ z%x~RyVcXWdU_>Pi%Vg#VJz12e>(ya?X#h%)jnGX>1_smf7rZV-LjtVDS46nnN}kQR z<;#aLNs152qlFm+KgkM*4P0z}8aqlZ6`dc+(>Vj)^MnSh)!z9&!O2uRqnty*0R-ak zSPlRpQ^M);7xx;H`l!C?{Z%nr+v%WXH{MmpAAba5l0}p#(=$W<8F3p9Z5e2P#+j;s z35y9kd~ZvV?dB0Y<%y9xuO4mp!j(TnKQ(8^|Md>Il;#*@9IXv>Nw6yXJVLkAF5A_h zhE%|0L>}B}247`t*!_6PYgu59Hd-sEh&>Pq@1BpY5u13$)v{6TizBhT(+?O?rxQaR zfMbH7`O;yJnY{b)k)5X3;XZ%$m|C=Gcc+0Ul4x^V|s^d zjf(YEtPhL{gg~aRrI6YPmG@Jw98-^!;9J_QURLg%j;jzTlF|I@8s+puX@712b1-hZQSIkmGRE?O8~njJWrrQXw{r<5$TDY|R^d5Y#Fu-UMjFbQ zS;RVw?T}NQ`iToMC-fZvEC>%z`_V6Y0zs?5JoR&OEOUM?vAMslij_u4AWcF&9;uIn zCaTCi_36VK05;7!a%E+w@l`B=Bts+9fMqX24M4ZRFYbBFNO8LVmC#%?!4*HaI~WH@ znsQVeKu+n%^3s;e`*xfY)JPXWwfHsI0LY|d6diAGAAfv&j52l&l@ZxQ%ge`vm}>%! zM;VnCpg22x*?U)BS505H>`{sdlNyVTz6wV*KGxg7{!teBSyI*7a1`%Rh`9PBmv?0Y zwY{ARl(jc$!k4MXZE>%d4hfuq_JKFuqwAnJwm$1fbj>U>rbCpEVW5+zl%#o8>{gru z-E~#a6v{qwHV}kuK+HbXId*ow+H~RJi#R`(N!%3pYo^MfE35-*?dA06B$kARE zOxMKO!HW830~2yD8$p3?k-$VV<6GV|Yd_Nm z`yI1>1^raY5_j|Vc6ZM%KDOn_%FfAIpOCd`p@Rtzqz$RcAX%XNuK5!69bLeQ zCh)7w03EB|!{ptXpC6B+cR(UYvqOVzl9lyU$WQ(auy{caI6l`nm8$Gp(_>~hhBZ)d z0P^hRw8~}kQ~f`!RhmI&?@po&F*eP7;$Kz(f-v@2PYRSL1A^1uSj4(QhR9LJ1rg3+n>#On=;nJJ?G6FBQ0~zi&C>W4?Uk-gkk`4H+fA6?Q0f{Ca}93mE0 z3Sa{3A1CKvNXR1)Gv1XbZW45+07oe8ezs9l54S?W! zcxXzQJusaFMeG*8Gtq`EOX9%3mvK_dAl}D@%ul28ZDboCSQVH6c~=_)H@IKMn?=xZ z+q3i}459>=r3L(}HidE8yFGjRPthIAZI22jj@s8SrxT&uQ$!yQ8~&@sq90!{GkDq@ zcUPn{B?1auxdE3iKNgcfmO7C8QJ(jRN@Su+yztp>6xNz~rXFXZG{rtvl(XA>!6L@1 zOJRFu&FM4>Gm8Tf=v;IJ>$@u`*O$QN0<68-%mdRi~$J7h0(9R2~(k zBujA#xZmo}AbOXl8X6b=r)IYDTeb6fq;v&Ms5Q(io$?VybCKO%PxN;b{943o*Zpev z>&}D68#^Ud|AGR{J#s%g=j1b<?t-n=+p_ zg@-sjD0={dXgXBXH64cR_2txt7pFQ|zX}~TA@pd~rVDt2y7Vbo-M#sr!H%T1QL)3m zALEd@-ySsJy-$ALei~&Te%|GL+>Vc*1E(8R-uEq`B?q&|yt1dJK=0etl`St3F;RAE z*t5N7RVkS#FVQ%4SOHsV5>qY(V{KZxWQS9}h7#cTl=3i2r&H!UwK7a3kda7MOK#?e zDrP8hn@O1)aftX*A+Vl6!&D0eQoKEe-&JFNd3#M3pD;r^-;WYWpNb7#PjAy<+YAn^ zqn(;^=F`I^ipS5Cc=~z=clyZg5s4DD;^6<{-2w|usd+uAK>b`JB|`2(%VvDIGQt*h zrxlC^Ob?b4rSC6FI)q@T~u2d=P9pCax)esBV9v*8N$1T+P60ZNeponJ* z+K`HS1H&yZkzGusLaD2ux|3pE9WK=%( zW~*Nj(=SVo3W+D#!TbIM%UM*bchCb*D>mgWBC^fbXo+I2+~7>Lm@YSu4ACcm$j#5sDE(iWE&(Bq zExPa6v9qm>J%4bpcs1kO?bFG{#ql%EA>H4C0b|ZN56Wh8KtE$4$4(0c&fZ8cI-z15 zqL?WJ`fuO7IFKqMlKD(Q-_>eHha-t!{wD7$?pu&ks$Inv-iLMt1-f?CSp)U1>a@{j z9Sz{a3vBU{vo;Ej9@?3GVg&arh-{&rLCMu30+K^hm zAGmDcU@gLVQOLDcC{V;3fX2f68#zg&dlapA*Ku_0?JgHD0P#_m)c7Sd7Jas>qXXHB ze1V%B83fF=q>0i|RY5FZl~dT5aU z;0t}UeM1i>|9RGKH+Z)ElFOEFZ6t<7MAZ~?NQWF?E3hL_nxK;r2k{`8rw`b4erN`& zM6j0?RX0a|&X@fFaptmgZqnCGFH-+a0eUPI=WYHgmI3Z$(}se3LXS2-R()RIJYUu? z0lvG;sN$O~5Q88l&gpvEiKy!OSQ!g7CitnM1%zh;G9rT6LJRuX+z3u*kN4<4ZMn)v zM~nw7jYaV3(%MescKdg8)9Xs*sDw z=}Q`^8l&48Loyi*WQv%$IVk-GE~SfCR-YP*kGY!2ft`S-bxp+?}T3MGuniQh^?`7$aVk1hicdQNZ1> zDHMNqi5l%f=-dQD(h;)q3}gBXI6g$BCT0cy%!|n3QMg8BDB_A~nMe`5i8S;JWxIl8 z=Va77YWm}NT}$&+`^;fx{i!l{dEH`ji@$tAbARzAeF0*e3|vaNdqnQ(Z7HrSdJn!E zlibNhN+dMy@3-OKmf>8QZ*>|xnQC1$T<}k zxdn5Q@Qf+?q(sZJk;=o1M!12%*{+PaK4=jt^hmAiCCQInIuO``fg0w)u++K8G?c+_ z=$jjBaEr$=kU;ke^;r$zYz!FS5;6^#Yc2+bIp{7nxC#~~rUpgUF0d7XN?R+JWxmZ> zid`-JqO?zTV^$X@S=7y3@p|r^(Ruyr^9cd+(howVgPVDpLNdppaW_65M|iK!n28MO z5#6EKgIwwT{(?QDE8H!(WNS@{CgMZp9rMi+K`!|RVeK=*XJpXH;&?YlPwwEu@2^g_ zVLN|PKJ2V&lmee)OQ)AEKU-P0u(Xq-uKPPyab?CJvWyK~g;@J|Bb^PuKtYF_#^77v zeSV(3OV*J~##6$uM3k=FU_UN>XGKV&c63^V7UlAX3+Q|ML}ZYK8r$O1Iifrn845*m z@rg+LTY5#HzF#M=J~yUEmv)?eU699n|2J%;w>N{St{SP23F%|%v4a?K*}91-*(h^^ zr0t^0w@^nzx2h3;@{1<_0wTN0ynIh-DQfCZ|438bcxUBy0=MC1rrpVmjEr?_PNY7d zYK%*DboY8z1MsR5U>go^oEZ_OXqsuNL%laN|D$SoDd6TmDU-|Fa+5!>U_auJo$J-K zyMyshE9SW*lM9$j9$-zh{GJ#!2WOPJk%U{nW~u&8sreE96N9Tc9(D1%SltRMltPbe z1;Y9jeAC~Q3LM2-uKbP=1>E>}rx1a_PiC<3k?5RV^pu1uiapLb)b8m#1a&JL{bwk8 z-q4yxGdtVK+e~E#6D0$uK?0&DIZ;J>w3c7P{3nU=X(dIO#Sq>9GWIx#Chvne$rc`G zsMe9*xd2o*7gERm8o;%6j)QKtWF=uKW`e3V1eQ z>j5=oHVY#%zl`i0#bgKav;hH}bR7@*z{bvZZFG49Y=UG;v5UGOS~_ONpKa+MywST% zfP9Er8cvsaHsxFe?c*O80!vSTw48=^y!XQ9@8b#SYeCYHELgpK>%0cFOSjSldlW4o z6wnDS0$mKwIJSJ zRE2sKwO-sQ144^MwEwyK3%$}w7FdS27Mlq_L;;jruBN_$pR~QnzvJIuvz&Y?2u-lqnRveqEvI~^35`(&%&UdnYeybn-oR^Jcg{C-ap82! zKCn|x>b&&!9NP{3GA->wcGI@$^_ufB+cjdJw~lY3+*ev5eDCgeLK5*$M^sr<>4YPr z0&BOdul@3M-TLt#j^3Gbn+*`OFD|A+U%qsalZ~L(2~7SwQjOR7b|M{eW!-lEB9{OX zps*QD#MZ{Zp4Tjv_#q;Zn8_Y$nw?O90 z;Y8}v?k=CP#Jdgu-u_ZtPJitbRbV0{yfniSE4XNIl_K82BSEDV{Rrj}*x8#nL4f*Y zd?b9q`C=>MT}3KNIw_ovy#zAD0v(>B{9obo4KBld^9mRF9EFVF;@K6v(m}((0iK>@ zfP`k`;Mfe~AKEU|NPJ5@#xveNvx;TU9S3g#Sxg%bhH>RZ*Y$rMEEN1rxo!!<0$jAoR? zOI;^IzlgGn+g;$_Rn>>#7_z-#eSS~D3!lq`7Wng5|BZviUi&cPPoS=_o*AaMLE&CD z7<#2%+|DCsD`sxcpM?b2^UUfL8sYF$o13&O2)7wP$LSc@&0v;0uEF1@JQ%+tF z$c-T4?f6?hCELhm&EvQ%!^V=24XtPG12>FeoyGNyv*vT~S&J4mH+cnFFb`7WV9206A7+ldv^QYM+V`BdHKB~935CPyuetheEmGKY|$h17xUKgx)DE$mZkrNoD;PdF_0 zkXF-~NU3fWU72|J+0_(=B8(umsb^QISxdhT|1`I4kW*iXNsf_HqEI?I3Hj6Z@aMhm zob1bAZul8UTLUG;Mue6E3TD1O8uG4OjlJE=VfL^M`M=hRF%M2 z!)|;EgvQtNMl6miKFT6tMm6@$Z)SkeEeFl=R()KQv(v7)WD9j{sZioj23ELUow)fo zu>~zV)3|<~#U^zN1cav|{D^5N^nQ|Bg^mzIN+{Vp?1n2A7}+Ey{uXx8*u&H6s+O(3 z2Cb@`P&0V*`}e&P){}qaRx;lqxJ{30-6+oN*9N#RRiw z15ZA7wk5*;1y`jF7V7m(ROnI15hjj9-)H!KzNXk{A08LKabuC|HcF97 zyGh9K3D_0bL9q9`F^95kW*7p6& zp1>8zauoinLFsc5 zP<5EZ$t#K1)d#3;od^ZC|7DkeNgB=)wSL*9h8U!BQZ9vmfP#yan!+Y2x30`cR;p;9 zu*&N}*{?yJQQ-4KHa{)ZBrqvM1HeZgNEOpz6AEyhfha>Ygyb)iuS zmlSh0izlrc#Sn0BSAD44-FLUQ9+uKXL~^Cm!x1JbwN39&yD=X(KZrjA`Tao?u0U%s0s^C?;Qz=PoE&Mnv0 z@7-&WGPA1VEog)&D@bh~M97EYSeoZVOT(KWv>0aIiSxLrX;<%(f+u*zQ0wwX^`#Pt z_d`ljGfPv2#$3Eo!EW$3d-5FT+#A?Y}z)?u6Ks>9QOZdkK>BFGt zs~esub@z<36Bt`?Fejpb;*We8^B~vZa@PX9;0noq64;Qv?YSF-41`KNzcL&yUbABm zAtOUCeO@2v?G50W>#-q4@C(O5tg@Ip{^f9voTvJMD7FHS-PD5}X4fT86M?i(ewMo0 zmw>Kp-L~$|IJk?RtR&u2xn@<~aF~+@Nu{)WP(RJH~iP=lD4a{4A*s_(qX5l?ep%s!(TF)$oP z$dNI=ZEK4?Aje13xvN|Y4#R+{iS6$eOTmj#ChZ#FRHGTy=Q`q%5Rd!a)S-j5zpJ!V z0wWDP+O<-GWO~z#y3nz7U>;X34%!v-3SH~TRS&H(@hfg%^F(DSFGm~-ky@~N2l3tKUvYSuJ!2?OdgYz-|b;e zJ#ze0!~U9iP17Lc_CrZeUI=_abB{D}wqRrocvku$2u9xXE6Cp!pxiwZgXALnNcg46f zXKW7k-v%|1i+!s$=-+0W|F_GTVZ)h(q^!hMhM9*2qd+WmEmrOEzjhB?XWZ;{zv+O9~AJ)#nNBidG`&yEZD^J!H=7f5FgLAhZ zO)LW3wqIsdU!LU(8i+ zZ$QYL|4Z>Y~A(?`HB%+RXVxRK< zF_9Z8fqwp{p<70s^(qDUxqkDbz|dl+=LC}&cLM%aL3RI?Z<|Kw*y16H4ZiQ$o6z?< z{#r3ZQ%0o4@a?|l@Pp5<_msg8LzCH3+_in;wAEqzXUPf|=X|kU$Zp|SGO%KWTUU+8uxC>^Ti|db;HW$_b47mK4NMmXkE_@)ZFEGJclyokQ@Ihq`USW{VSFdm0+e;P#9;9CurZZV#60FdM? zw4f_&iesu=#<(E$3M?tqnuj_x62@3MC+Opnm$65{ZFqjShGKNUcdL&KnR?se@%bW2 zIUc$tIp@|Aw0i`eD4sQOn;BDVo_PS2r53ty{3O#>DFWp1eHQ7!_2R^$VR<%9I|w>F zT)_0bRP~|Ja971y9Q$}X6lki}`4{Vp#ILkD@8L2=c5`N`WGV!@Co?{G)X6T)tAtlI$z|6n?&=$);A{t#g%Q78P?G0?yU7&t^A6w{SA& zU!Wdzds1b&ce9I@EuFr-%z#$Z*NYf?J=p?HRQmfIut|tGZ74k0JxC!&g2Wt8^aX;a z$9emhc=`CA!QCmIN82K{F0k{2RI-YO-DnE9A(FvlK4YyuwN;Y{-U@!VH9I?f2-klq z{kMiCFi4^2br*COIY`1(HJn6-R1d4#BQmifM>Unu1!cFrcxV0sEG0=Kho2Q!TgT-W zu&&)gndDM_V>baA5Lqt!3)hJlGWZiFspmV~spIv|Bw(d5lL}yWcR(;0ng-wh)t|ZhIPD*l;_t9(93FxSL@LDX3 z+T}I=rhjB?|DFO{&@FGc1L7z+nBrr zD6jAQNUMYw$ebo*2*c24Ty}Hgkdfv}Ls73?=PuiOu zz#;rWB1h@Vb|0+9)s%sKa+MqWL)5@O5=2H)nFv<0o42>K2hBCz8tx8ZlB#& z3G0@9J!qURzSJR6c(tynrnQw5`bfwkTmssQAPCpzq8%p(~O|Kg#)NG7KWW0j0}Q zt9j<8@E%$}4NMCJcV0^Pr~FU&R}@&8baF;O zi~TNRK2_CA9_u{d|;4^}?!TQ&*=eu#mf z^%RK~^NRAto&~M%ORx0XDIpMQOroJu82lqeXf1c~0?RW|hZy>_ZjUa-eq0rgN&3 zoMjuYgALdKmiNRNHh^D9B}-Fix!<{A(nP1zRKuI5F)?$WbxC1A;U(~-TXyN8@yi7s zduE@^Sn}`J!J20GF&$WM&2A;g7R>HbxM5)ub+^juDw3sV`Ia#UVU2lQ1{K}+7p9cN3^?D$97Y`G_ravDYhpCml7EzRYu)c5Dy_gLziz9m_{qLX5{4 zU?zwfx2+FrwsdvrdHLw**0XCdNgZ^1<30CT_WhMsz9`X2#S)-j9>{{unz8r;dKBx!dj9QZoi~be-!9Ar4?fF|X zOQYbVCvgb^X{)DJq_HA{qK4%|t2Qd#Egk54Uh(YoSXBd$+$<0ddD-}5m)z{mA5q)v z+0g?ugJ+S_QsQdaz<`Gkfj4Y~7Gwd?E#B z9R{_%cRH9Wz*OY{n$Mq2>qZ@^WUFk`f&=@o)ASK0BpRp5$(UI-x!VGS`o#DzZ2Rq^ zM+jl++)9~czf4Ej%-_KGG350|qb8!UTsz6rybUxcHs(8@3OP&~uBE$J4p=*y0$O^b zAxsh1_wDOB=eflb$)K8*mMZ?l_OPTUD{)rlzolQG9mYEGXI2LIqi`k@Slb0Cn$9&+uloswc!gk>|Ol;$DK zM8)$xb_5)(85+01bKqr!q!3*|b>}mY#fYVZnY@B;4(V3e9zR!BivvblKr!+tJ5yJx zSGMUI$AFUTuw*%L<~Z<&?|SI|s`T;epML%a?n&-R;1s8iNzjCN5EIn8dOmo)XDC0) z@a5P`lqL8O&DEQT(6u~|m1*6KoXi_FAm;Nw*ck7|`a1O2d5R}39k3ZxV*b=+Km!~* z1JvYzwt$$y{0z%B2HDxny03l7?@NaLBSmDAPDihHnRLs(wpnws97Tx(<`{7dPC7Y7 zz!0v{e<>urZ_zR_W=gJ;LYI*`Z2z;$tyE8-{EW3*bzCYirs_vLk-H>?Mr?kzkFb9% zC)jB6mZBTHc@tRIoheD$F9Q`k3vMK}-%h#Gb*_- z>zSl89J}a{q;b-z+EaN_31<vqG(rhCMREpGtih ziCL(}{mHe&mm6-wv=(F0;2b?;7@A1iWZ%+D0J&8#khT-$CV|_s`uc7nu{F@qR<}}x zC;qL4fYJ`$gO>*_#nb`G1UnR))Dq!{y&n=GAfR)Tf(>p_uvHA;4;Ap zF2UX1T@u_O!QI_84DJ$KgS*2J++A+J-{m)dX06lRXYZs^-!^$mF}IO$i+qhLKGeIiaIxzGMM>MtTY5Ociij1;lldU-UNL6k2ex8b zC^sxE9;GPVmLl;6m8c2#eDmrl7y-^(EdvtN17&i5BMdeTTiH2W}5s}Bwk;ax)IFz(^bz_Exq@+q;{mzee zx1E+wo6I?(n03)+Vse3?Wh3k_kxyL{^t4KNe*?&r&%V&-iUMQOGUPb{Tf$u%9qaF` z^_m?5`Zon@(aaiM>}${Lwgy*|bh`}Kv!CJ3=WY9=lw;mHd&|?Fvs_dBz^xo3I70Dy z4~trBboUY}a%ZIlR!VZ<8!zP2ZN;uxB(mmMZQaE&AR!kH%ANXXiZV*in8IdoUR|WI zsDhZ_urROd%HsAlc~BFPTwq92%rrH=R^LD0de0@iLmIx$sZOI{co0 z-_BC~Xty5nT7vfhBY5AkveB#oM~n4p%yJJ=wLwIyW!l*w1KpxSuI zKqd2d&*ceew_H-b(X3;7jX2;OZPeeTchpzg*})XF#5{359`1W7!q(#u_b{n~Mj!O!vdk;O)nEqw za?D7SGA9;DKcN?AUC++WPPacAqK60572kH~04T6gZRKQhheGh;soAdfb`1$qh;NWf|6VR(Rp1X#}6DpWTeTl<* z^*3@btx4zskm61vRZkGjEG@mlX6I`~6d( zAU|k6g$Y%vQ<2XZA5T_cyO4A6xrP44B{G%!+uKO7rWi?7$PH24oi);s;-HG3sxKe1 z#*x!VSO=T&+3wrsyhPb8d!Sq|wEQR*Y$}3Pbsn7n!h~>Zj&G!NE4((fOjsJm>iOVI z0VS0F-|}{(0~aYaMpFYJ!>o2mw(_i-eT8p5*jfX8jupr8f=8yp(2PtjHozzef_fW(Oz}?)bhpxPFKIH+t2$8?1eY( zG<(xQ51Fw4$b3UP75a;ghwLm%* zHS7@45Ei7y$a6b`y@#C_?VaP8V8u$baDHXi(Opp~3@>E1;=ZIVEsMakcF84f&Iss2 zJmO+GDoHO&2p1}L1LY`|BFn|AWI#^j!BC9ZiU9I2_&}wdY4ZT_(${W%HF6f zOm1-hWe+_im4-=pfIf3%AiwP=f4_h10eAkPEkQ89Q8tbpizxS+W-mCn`ewE56Qw>P z6=f^RnZMu=)J)Nul}L4-e_TWW3gFTr7Yt68$Gko6EU-VW(*b9m%O2S;DY8;TY5e!O>!x)s$ zqDmIaJS6^F9H*6X?G&N}gNC&*C1S)xCKm+-!KVOWI|4g#06!*>T}PQNm+>wSiS%WK zGSYOgu1gRLb{5>?kAq8vmJ?5?Ucy^>`29g~B!Yok*cj#ZCycVsp0p-u&lwwO0#s1? zcGJU_AH$hO@W-a&!W5~-pU(_QnixHn%0WIhNFo>G@5JzBGSL}2w(l=Em;!aN6daGm z+zYtM98**se>jDQ;i6qw0b!Xgg?LD`(yw0CZhxqXl9%*Jo)8V;s9cp->U5-?M_OE-{$=+ z*PU-F*nBLZSWZ7xW%IstwwzhnlFA~nxdSdi7GPL&MN`$Uo~m=U#-eHss6A**GOG*} zNMn6t{p}KoPYsb*Cp1C#9x|bAYw~+&l)PoK{XOdH6*w)K=j*VI-CFHogPZ#Djo~MX zJwb2(2qOU-wDim*vTG%rM(ZbiXv3?XCV&>j;dhH`uo(VyWkOK(%bwJ4_J|b?I7N8~ z45z~0oqa3T*~K4VkxJa4G>!ub=D%G+rR^6;cP8OMDrn-#Ex^RThftE3 zhIt_6%sypwcv02kzge+MWQFbTLWjikaXfZgeVE5w583f3$O4o1_65X`OA!J{)oDBW#z~yWW z05hSpF&*TnteoE)q4I50aA%q%BxU3Yjh4I#?7PEWEaPHE#)oQ2ygX2t3iGM;2;&OD zLgC+GV^Kvzg}seNF<&b*;HU9@oNJ61S2;$h6t0e$7`^L+M{2*uR6Z;XGD_gjR&428 zNVkwGU)F^|I4p{nucHqjSjrec-NoG**h=Uvb^yQ&Mf+iVP#)h-I#O7d4;9o)t?}b$ zt><4f{X6&v^O8j^QOjk8yMcXD2)Lzqyq!oM1<=6+? zipkzFcH34R3v_Ry)G<2go^e^>tA%oKN(ToDH!~}rw#|92SJ|A2#Y+--CfA&|O<3@e zDz&eBkm!%-DsOp#?p`TM0P)Jxd!YtrexG>DIzwd!kV~TrJ#1*NJNTeq$}YL0^%p;< zsm=MQmiD#Mj=AV+n{1x2T<&*8_-;b%kQksNR8Dtx$Dq*ki`M2$vaTMa zsQo&v(_7bw6X2k?Ygsu(EfZWLt#;Jub%9Z8g(`K@f@Kh-7qbQu7Vh@GMo9Wuj5g!Z zyb2E#L6J#>41Z3Ui#xG59`p)b(;0ozP5$4NXN}=sDCb10!(aF8B(>Oj+O$_=g_qpR zE^}7-B`=1M+LxSLO}MFtT6v4LEmbX2cIu(vj?9@5`P}rTmMDVhF#oC0j z;{T0U$ymUgcHV$_4cSuKWALQ87smKi%uMX&7wxJh1VXxqA=3M<2V0*s^j z2h5uV;>zV`=CM;!LVTa~6cXA39toG32G#5>raoLp$JCB7$+o=>=zkVXLIle-~%# zKjy0|Qs6`x$Fx_Iz5u>w6T9z{zjzdhhsxY>K!zp870TvFR|H>e|0M#0{Ssq#X< zMk-;&|SJRTjgbu_lnW5y~}rQ8sIn|Xcp~PRXG$N+y3C8 zZ3X?pSf^lDS(hOasqSOJ%_V`8FX*!`%7G@&PL5QsHi;It5{2>@S*F^+#%rXAkxNfI=I=z;1}x<96PHzA(0^ zQGiOT`nT5Q?tFKAj~U*$JC*<1jLym+)tv33J|7$bxYa?@>W3Ckzb4#~H=5aD*i&1& zQ2u{GXorFs!GdU^-3U9;EFY)q1U=Zhppr@Quo;k-y28~~6_ttdvQFN>^AgS~R@zah zg=aUe@|Qz*g~OcWn%D0`ifXy=ZmD;UXS@EQ`=mkfg;@=h& zEoR%#pl3SE)6I8xg1F@b$3NabYx}t-$leoGaxA5l(@U(um#RRPQ(9h+DC0aK7e>c`$e=Ow#vbAxrhm>M#h znUl#^{z@xG0k!~;V$kJ+$ZIOerNX#fq7=5uZ zKU_lEu;Yuzm;95&^PU8#lt}u;+5fdIGH@CBQ~R2XPAhXjon22UU_Z zjnH)Y_;K z2MJLFCKW!7c8tuE04nTs2};}#nXmxKya`%7NuU;%6HRq{o#V$8#koFjz>Iw!i@GBAU(SH5r?hTtUh=FHTH_7g%MsN z9bCQBO>5xe@kPz$xb?&D+uWTE#!Oh(UG*lkzKi8Y+i|2d6*e@N*X(Gt3-^EqD(7Z5 zY2l}EUL_OmqJINY&_D86ecgV@0zVSlIIrF7^C}jG2P*+vqwp)XOUtHTKFbJov;~-V5YOAk(kMx9^+!e><9FkRjeIPS;{UDNgi%QH0McZt@WcEv@pZ;vA zFj%cYIH>Jre?tM6@M?HCqKd96orie;tpdn)b~V#bvBhC;yMpnL>P#pP4E$;%`sl)0!?c6kQJI?HzE_w z1Y6tXe)a>a<>Ci9jJL}^N+lMdLN?7n>};cx=Z*dwob?{qO96#hzwW7tOSJOe#F^wv z&*x`n=;5##GdqOi`{RS_>+564r;Y{&U?^V%_+L;5)7Z2T48jT~L1) zU0luNR^EQoS(uISNUm;RX~+VqKT_eG()?U`vUKfJ5iDeLOwGp+g)W(Pa%5vcN;A-b6!xe-}^x=zu=~(*s`k zsXP(OVpIRWyBGqC->H9EmT>v8U!hfvYEsJiA4`B&;x?Old|1%j)oY|Dy1lYe_p-Qo z=qOd1SJ2@I>q+~(=^tW}dwc^rLqARl{K7fvn)`f+*^_EP`N#H!=2LUTl8b?wOHQN9 zcjlw^%CLQ{wCLRt{Pw?d_j0nbEZ@=`!c$zvOn=)yCoJc_zd+UtfKk{?aU!tfGy5jOWj+$cmw>HRI2enOSpe`VYUguCUv(dR|)2 z92glvb3TxK^2wxr+3pIoTHrHIHFF=l8liIcjPRXT0N68}dMvu@j|A+MwTC>lq{RIr z#!USsI{1udK^8F}eCaWU+<eckWjB5>${I5}J+~0sj2Et@bu36DZ+(T;CL>KD+s|}WS4|wkrwt9RE?HQx8UlN>wE5J=;n6ee-TWU zcvIO$liQm=^D=5he^p1Bp1>7jrb2oX4MsQfx-B+FMfcuJe?XSOm{4i+jU_N?Ufma1 zLD|J1Mi&O=ojQf-{VGIM;5Pnq7+Cmwhfl|72o1WvJ^g1~CBmg0P(!@rq^ZNxUiehN zg|1ibN;{enDQAN|eDu%V&Z13BQ1s4F1#3mPaid@FN%mM|rruD1PH5Jm+0;D-z39e< zk_Z8OJ7V|GGv^xg93NmV7pFoT20UatzcQ4X z&ILmVy$K`JTZjO;6evsV{RnK6)p;KyAn;f5c091zgdXwW7dk57gtY?*0&?qo`0K6) z58=+23_IL9Y%F!6CqHLbg7>h9U%OT&6&z^&;rHjwtM)Su%XaNuvq>)^p^@gnHHlBg z(vmRg%j{?cGV1LKnBwZLcT8Run;W=)l!rB%fA3!pU^!>%BWdIZaLkyz90}$Se7qG8 z6+unyLit1Hhhp-hkvnIFF|~bi^C7XRovBdLxG{`LWYz{+FR|w) z;H+6$_#_h={(H0p$d)D5>Ev03c{h&k+nk>&slX=Y7H@}7yJ>UoelB#ewW;=Ob^do* zTHAN&MKW{=2*&-?oz!(!c4&O`^ln4nL4#=1p$%fjU8i-yNoXyll3!f~EfB=J-ub6E zCy_(oKkQoCIqSnf*3{-D1LQvN#L0oB5)wd#OuVocu&A^3|FZcCNyF*tdTxWgFVNWk z1hqqf50BdU08!R>eMtIO)X@ENoKXjc8I@aB&!T7drf#SIV7DyQ26Bg_`=i=_rk-nh zdH$9uu@Noox#7!#tpgjM7beZp2iDx zEiLg-JZZa^NWwxe_~{))%qpmO_EhB$>8*rX&Mr%f3qM~NVvhD82Z$o6?{rp{BU02;lnA@jx-1&u12bBJJ=nG_{ z1Fsdwarr+bW2;&Ezf~&o`K2W&X~O5i6rTFIJp6X0y#){aeU&<|IINrj4%e z4;h(|U08Jcxub)l`rg|_X8$!fd1;N6Mi<}YF4MPtPP^VZr_JGagFC}E@i_?iHb%;@ zB9&J_T;Ve$>@reLvzQY`+%E3|&{9Jx-tr^P8mYeul`9(EW=@2yNRa|)D@XM8au^t9mB~EVC!T}H03H?&?_CTY5 z4?c_5^6QQky9JlREFhet%2V>}Jb#u#=sxaOg2{WKIegV*0NkfjB>}2Emvnz9mfjC< zVGH5P;Zlp^KE@zxWqg6+jHlSv*bkf|DaDiA7EftmDRjgOnoh#M=HWBFpbj3|cZu7~ zKgy5G@13xKy@tA{D!P&D&r4?RvJ=`yVaEdemMZHHW;Exe5oJ-4qxD!oGMb9l2YS8U zmcFkCqglOt)2YBVW6;_qFrUGlX0`w2;bBX>y|Z)uwCUPsl>bA&ldCI}LYN;G(CK=3 z6{v!rDN7j(0-a;5%#p1(PAv_ z62}BLz57zdCR>I_#BeQt{(?~K^(t%6uPjV=$QdmjMd`Pbotz zf&Lz!bc1I9s#JaR{`~&-{-ztd&8z?R4D^~+o-gm>BlYv{s3by54+|sn9eIuX77xU- z#p#$d$Gh#EFnV@$&i?Tyd`5Y)m`q$y^izXRxaDH9Ty0uH?}<u-h9rUj& ze@FstU%L@licpIXtso%ej|lr6yAlMsps_yhX#0@g@|wwX;Dy8qi@)YgSC;+RTXD*D z?H$lP?RYF&&%>=V$jHe_(Mx9;XtHTv&)S8JAzR+B6MH}oi=A!JF5rh>a9YI6Wo&G7 zGZ4q4uQFJdcgX?L@%M)Q*%EvA-S3@Mc=vK09WSZxSMSdgV%7LG^y;_#PXrItd=q%~k{iSYCx$53qthKq>`#=}xN%=B+cvU5?sz zw*$momd7oQ+uxkL&YneS)2|a6AZ|KhlWlYRNnbF_j#Jd+7~HQ}Lzt(P*+xn=+QKt5BVNDT_PnS+b>6V3P8`J<&|CfG&guuAQEjR0R5kCmP;ZtFYmdc0w?(f~oB}ImI+*lp6I(aO>t_x_VC0qq`R!4xw zaoiV!M7A=YZ_ua3T(+P&x|guOJTJj1n5}50tKH<`)OJvxi!TNmOp%lRNjRoP{t>m! zlu$VCQ&!`x%~{6Rv4;`IY@9ZJp@tE5M|1qH(6~_=(^$<_hvtX@CHEOJP5W=lM_N!c zKfB&Xke})>-)3e>#J5lw&W8I^N29YgB2aH8EOuGVSs+e&&#B-02V0Ju-wD}g*($u@ zghfupLzVI>9mP>KNw&W9p{UJQ!)i%jJpv4=?$J^;gDEHV}xCVfHpVO<|X7 zib(DE`l$rBJE;ogt?zkvam}#`okch#I3mp)#x#_tDXVR=V(de`Rzd;+y-Pp}<#76q zP(g|R%?HxxOa7S^$)D1XZomIyN-kZji`uNA-kCqXQPl3w#jnghAOj2g2VGLan z4Q?#mb#P%sCDU)j8+taS_Oirvi!Ex%NR@>qE$|2ownp{}XH0Hx=J-%u@z9~V7vn6M z6N9b~58+u*YDePE(9M?{)MiCp5?6)SC^&m5uC3G5$xa?M!PTe)-4z;g@)oEc5aepW z+l@|VZLD1IAPg)8R*`M_g%t%jg;zHLBBBnMiZr6qk25a&=;%-sYN9r#Wy;^h9cLZS zq4Quue9>xxcA3JFj~cd;O^mn2JE7ec?Digr_@;wi6B%=(z1~;|Vy2Mo=9uc{dNu9v zrUm39M*3M-QTHoar6ZD2|9X^7agpmF&1C4JhgRlu5ZjFyjMl)mq8hEoyJSmk-Y;D~ z*Vfq+B(tsvs*TF5DzLbx*^-_}y>ruRHBZ#Z2QNpDywpKEa z5)>9dsL8-(-dGwW_~8Mn>H-U}LIFyRaKT_M^*|`oB?v(tF8GGGD?gz=m>Zn;+I&J~ z_gs9ys1>t&In4XfN98|#iwHN4+zW?3Bt8e(KnB`grrEy3*V~%i!+V#>mJHTOMIZGR zxw_HbAb!7m@;9~Z2}1rJ`!-(+M9Ce!vE&iHc(eRx}2gyM6`mk-%PL%R4B&i0R{0YI+)A8(lGiDcgmL#k< zdI6nD={q%51xL*6HlUi`Fz+lPSxo}sWeuV4SNO;x6(O+is*ezyZgJ)|z(2 zO@lS&eV5q9@XrE#DK|($^whPOq;jN^>LYA)VC^Hw+Yib5qEOU+t8c8Vpi|#I$;ok; zu1z*1gU>uVrc9u|nW(hr!hCWav#h6Py-roR!6V7ZHtT5DXiT}Sd3>B16ML6)Bf*0TM-d*z7I zDk=JE8=R}#u7$N94XS;Rv(t=iKFgIR-1eRli}AAtGS+xpe`c3wobNRh}Xej9{eL3gpA@0D2~9jm8H ztSLt~c@G*Nt7*ADZur>j-(p@^DyKocQH3`pGs9 zWt>-AD6n-ngL(TYFx`dQ;@;^Ys2Rl@8Ou41ei;V+L16a&2FA5jZC>`5(UP)^{f$lO z2uy!9Olm>HH*I3FUik{b$f*t)0`f{nWLcqfNwqQ?m+L6r{nqUc;DUVp^0MZ>ZUF{5 zJmlp>lE_J~RZCHuJG=c0kMae_293b23@B@HHh7030C; z|F4=2oSs+|y*uam({>g7Am{-Au;TY1FeTQ+PsVrpdXrQd=(LKvd}kiIn|2S)Ix$ti zY&R1*ULl~A=q5+(_{H(@A?^HeE4#|RPq)oMPV@v%)%V%);T8qCnXT33`Q`U^bq6Fx z_bf1XqSG%#Fnx{JZ z$5lC$U=+C4fNv^uwoXkHCP|aKD8(G&U{SU`=7$8@Z94ix%p@qV~KDj@5|PzWAlBuTP28$ zqNqPBHOKt3s_5q%=KSw9ugxugGQ#Fksa#3(pVO+-=AG^@UKKktMy zJ_&8UQjr@HX(q?x)YGx<9JTCcZgDY6Wf8U+B0~68vSdp5HNs0_D(~bMMhdc-P*^_w z4W8XyeTsjEIwHUf=?vi#x(Bi~jie`d1vQGb}s&>jPaYr#%+l0z11ff%oQywi8j-OerWiu?6D8`myJ-f-# z!(En4|ArIR7QqEPqGY6L;|nGV#|<4NewwjzscP`t-WYK$K=+G|yqio-3{#IlU zu6DBiB>JIqLvtDiqgLpPt42q_r>eRzM23VQUzorj zr3s?BcuyB~z_K?p8nKK*^uu45d1fP~#&>Oi)@-O>N7q zou)It`$mMeu$opp?5AVHngOk*T*<|{8bsanfs@2QvD82D>gYe4`BI9jK?nk)HkRFl z8I3LWw-F225==9*o|6mJ!{LRqt`B&7Ff<)mpdJ&gB`t8dm41QBgFdTst{!D-R>hVS z3C&10M-?INf)$|_ffIC-)}hW4Js%d>kDdeSZN`;P(JNzSyCDU@rrDli_ad zJy>rC@RR@BP54(mIOVUa7&A}ryg+XHo5c>3t~p>@yx(2tL(aH={SL>-?6Cm1bHbAu ztNztLx0TZ-jbE<(Q<6HFENyQtgn8h}QF~Q*qDc?#xcvF{OObW7pnyTDURtkU>rF=7J>M>~K3BQm# zyHDV=w6|!)B9v(K(hNNdy#&`yG7q;nFwn$ieOqBbc6L=W?HU=u(P=UE`l>1-Lm-gC2oMN_(O){IBp>DB?><(3`);$`;T`v%;*h1f2sjDf zEOJ3hhI{m9Gzd^k7wuaNXZX>-F{nO%-S_5Cp8JMJJMgDHLzLw8}R-Wt^%ccvyAT3w{_1A<1 zHO3MvX~-+a;h!5$k5{byl!$5F(i)vI_t6mzn9bz&PFVR^-|p*7Gv8_+t!^oyWE^KTq3~uEcyH~y3H)70+6Tz7Mf@UIdVC#?SY!_14{oYUzF=?A`kWIOTI1-&&&P5s8dPaZbUB$>@m@dXhh zN@*p>%ZoiQAVIMP79+eSSHdUrx-|$e*m_WCoU`kSTnq2Q%#A>8( zmHm;MiEsWAr|TeqvTG?bGT#>?i4S}2g2>*yMc}v3oby0#EmCTINu^9ZHUgbWUQ<}c zn*Uz0a-V(ul9WUy{Tg*OkG&o!Qe<=BA7`^L^Yyl+W{NGu72@tS}kS_p&{GzrO7R z;89rT(Zi|hhR4V2kBH=koUd%V6ZVU280>j7?UvV<|BIEYCh$iD6LuI^DA-`xaYlS{HZ;*PWmyp;lx9;QfuAsV?*A$ASus^s0ZCSd4*qm zTw^_tjmWUqC}a_RTcKje{h+3=tivj;u07eX5BTCPl^&we;vfruh>1>^IOuvGzBt#W}G`j~4Ia<>nQhiD0J*W{k*^pB=yPVznO#n2udVWtM z*0_QIm91rOq_A%PzKs@}-1j_R=kdVXFe3e6oifF(bKk5%VxGN`wofw}f>UIK*&I0B z`(c@+e)PT;DOjD#?l?H4D1N$i?w`uCnR={ zhWqO_^HdO+rDPyBDI-1nU`1G$-7j@>e~NLb|EPtQ_E`3b%Y~JV7p*YjZ(lR{yAT+E z+D`vRgC>aP;=X6Ez(5%Df!`&OAbB!R<~z4c!>3I|s>o9(gk- z*wOsB?S5LPvI~Fv&ik@#Ld$E_VA-QtJvZyh8tz*9u*gj4oYIjCJPU3DkKMqqlqeXh zww9KhVdZXtqz^rttI5s4GBLgutk}Pa{!SBme7s&s`c_H7_=3{#h&y!Qt zAlYWLKb6u1!|lb5RO}bU6t(=VqXAAC-rnI+QA^{+DNXO1-x#$-tR0JyH^o3DDulth z|4W0bG({mruADLo2SUI2d8JtBYvi~OTe6DxBY3i?Ng6(cCXEFF<00lnYo1ThoVE2_ za1*NS%*EAJ75yunIzO3G#SuRV85tQc8-`<$cQkf&t119*65+Q8pl2-Yny%tW5Kd3! z>7xOB;p~jsJBiXcYJ}vPUDJOUuZ^?&ADTicvO~LC9x#x0f`HSS)EnPgn_a$=B7Irf z0!IByJT%{0s!U^PYv)5cg;}oFG5FmHIb!YJ8j4KwF_P~w3aICF!BzH`b>n{Kvy<*Y z*woxB;g0=u^wW$P8=8!Uj{Lu_RVL#IdkDBIBmVhYKtg3G_OWUSq1Mp-&s7rniY&}OQE@)4Sq)Kp$J?la6jq49;%+J;{RW!--`M5GH&Z#~^? zzZhQx?zjLTeddH5>Vtvy;v3Pc7NW?aJ(n=!MVyA^y>-eWX5LgG`?={O+-J-*>!sdn zS0{qQ6+em_KmDbEQaNh1afcUb7x)exZ z_T&-qi>8vSz?6rp>+$4%*SSlRb%vxock<8vlA$3w$K@%<)-U_p+si*5&3;yhu~)sGP=b+Q4y9Ws=j7F zV{7->dBfGw@sbcD!Z!(chbaGviGLBwr!z(&%&+jD<==$F8V&=_J|1NI?3YlK9t0sq13fe^N(ethK$YT=O9)5M!mTkj9$OEj zsXjXQkB>w_>N5GBQgLxP{YbElWdEu|B9Po4CW=WX>9h=Zp>jo$&8D!C_M$Q>3pD@f z;FP~6EI#rHb>H~i(n*ib*QIC#)!c;wbd4h2FcY)Y0GxoxWtM&4P3nekw*6+9jw*&} zJy3gCv{9aWCXLlJ^P&Zk!Bdq7{_o$84*fM5>OAT7(}wFK(hJ^8tz{@U(Sl2{86DN& znuYKBx2AT!S_uxx9&I}vwvpX$%9 ze(eI^67R_r1yz;#Qwz=saLFei{FeK3)*|Q2vIpP(`OxBAaYi#s6X0~rpqAk;ookFL zsVLK+tYdjKFov%d`s;_cr09hMS6cJ$M$BwD1fN*DdM$>LUR-SL-zd~{{2W84<^)MU z`^o)tpNz#`)wuUxvNhp=<1&DHlB;sm#-$+q4&WcQ3*A>HpaL+}$lp9}Tj4d0ti&)a zCQsO$KM`-jIC_5)8_Qtm6c}sINRd1gsfdf@tuvROl{%)Se2H3ZgsGq|1c{I2s`^R< zeqK9O9#1Kr47C}M`$y|hD38a|pkL5S9EyOoxHrmc`#V5{(EBG;8u~)SR26~2O7&=q zk$uB=souhUgye(~9eY7UC}$ohoWP+CO^J`)QI@utSoi5hS(CY+$@C`1;)OwC3{Apc z5eBo^bX7c8M}yF=4B&?6-OKwgW3%D5D-SAG5k+8%-_i0J^QsRe_(U(a`} z%5qf&SN?I&!KE4icQ#?P=zi_f)vcX+x>kOU7(eI!YvdZl7C3CTYWn0vLZ8a1<~HF~ zL!h=T@)n3vL<re33TPCG{a!AEmJW?LZ!aj ztf#2c@rKv1`uz%4oHAkUiG~1uQ7YNdQZ{<~KJO3HoDeV1t|zZ4_nt>+a(18mQ<~a{ zDW)tVd@SL+0DCAo%wIS<+yo zFLSE+|Ks+vuQ`+8o6e;Mn?|7d1@=!lh(i>SO>3h}yO z47SP-!A@`~=z_2h5)#sm)2CB6Eac7KgADz9CN0&Qjl4&4AKI_z@{+LN4MGrI^mBvF zaYBD&r00s?`geX=ic&cOrF1@ori2Jf5;DhU3$c4r7`=q|Teq*57V+}lpECN`z`N@8 zrteRnuwu34EcPvq${YDy2{OE*1*D(e19VqjG;siB#z;JT5Y8lle+9tI-1Rr_eHUpK zL*!8mvK=$8zKGbPb8)7Z{N9Qjzvh}sv?;2(nn!_Y%0p^lkx0u!dP^3L&+uEdC^n|8 zj1HM%`@r$?_^tIv@g;j&s!uVE-s&d%vkB>9{AjYUVEdd?SmSwH!|Hki0ZV65m0099 zCgW1Z-4u;9W-GH{4cfsBb}bLQ^bQSExyGt&1JAeLek0V@v%?|A7d>k8EPu{YzO~_q zuvYn{QBz$3N1l%a<&}2Ig*wURT3{LlM~L8k1jF3ESy%Y@1Tj^W-y5w?Wbm>V>LyfR zjav}$<&_H{FOSsX_84IXA2D*j5C#+>9i&;79oy#<7};Hf zQQP!45K6bC8fb3IDkpSm>Nq7d6gq^GO9=WkbkrN zAJY{=^Y_6Um^vgf{c?bQ$o{yO zMZL3oEG#ADj7qbg-+0?3Jim*2qM=FH0xO!{6q}+A(*}31Rj@$cMdTa^GDBzFQ+X1B z%4y()utZ>FcZX{DpH%EsuV03{CPvsZ#oECIvi)TR-y4sEBdp2BSp&CL8L3^Vk-W6>Yz&0!MU z05Xx@m@d>t_#4E*ZX{AgMq;Xe3aNf3JUe2 z%Ww-`7TN`Sod(nepLcXs7hE3H$OW0H$X>#?KV~xT!mUbBM2;!~LkT;sSlo$ShR^%BbeIxI%~oL(QMO`;or8C9@+&X zUkzPB3Z&-PE+ecfx0J!MJKEvyO8{h5vHW`2FZYCNqCYQXKqUv_J-MFeCn!<;=@D0y zAuvSSZj3k;sez6A02WzOhMGOjBT($zUh0KO3-PF7)4(R`W4w-EU z&H@;XdB}cj5hI{aNk@KS7I4r2_5-tQ%aY9iC442esb|_N61#sb`59jP>n=1eUtTEr z%0ALWSae|g3{rW;E-fdEX%hh#(xj#m*J+fK&ho-A4O2eehY>6wO+9c z6aF8>ke0ZWY`Hf-OA1OZc!g^0lKW$7=df5fjhYy+rBU~$;7?N~Ap~+bDhrf$^~3K# z0#6?@Qkxaz(mJ$-y?!~vX|TWF)^A*LJfqd?1b6Y|MnPw43sFs6!NJCyX?#x^*QNcJ zu;TgV^$0A2Ms*&&6}!9jyw{<8{Akp>EaEeg5zRjQ2vZA(B@Trum}C?*Fpr;+j+aMl zdN8!ccHGV8yh4=(Zq?ySr;}m*5@E{5;NoK@HnTcW^O*^3>6gw)w(m{?NvIWDA`C2%^ zpnclzpF?M$4@0iSEOMQg*%2Y4n^bV(Ri_`GJgJJvp$>?gCS635_qE$y^Y=MrrQ{2` z97yovOxl($v(y%oNrx7gQ+G+qGdd5G)Y?#3D-MKae)Bo-ta9oyf9ZTg=SqaLW}EaQ zr2r>nfMQbvlhWawL`Ff?0a1&7jfJxeOs?CdnkF_Ke~}&@9+Z{k)hdUAzQ}F!Pefeg zF{OUW>iTXhC~EzB?xySE-K7g*@Zwa)@H#$u_)KT@*V_nmaT5Bh<_ZcR*N3mIrKngv zcH;zs{t)!oL@dWf$>6GL2#^tG!GvGwcYC-}Fro$%c?0FgN@1`SBK?p;OQf7f{1YE2 zw?E0$VdTdn&~yfIknxh2V)36*B=2;?&DE>Mnx`XwL78E);{nD#;U<89{92%6y?O&n z`VZ#~f{x!1-Fth6U^2h2^aIHY$-|4EwzJaZuH&m=51wmLa~u?cZ|c>d#=nDyq6rrZ z$kv#tA~9B#WE(Py)0h!w=U<_GwQ5NwU0!A3tD2wMDY_+i+>8z@3pSHeD+3kBBWbJO}fe%Rv-w=>8dV{0l3~ zB5_N_j|uzpTjtv=&kpfucgaz$_}&j1_iu%fQ8Jt825pD?PJFAQq9ZOsWMAZRHdqlJ zRR|FI1>vh>9_~bdyjQ?lkWsR_O3bA?HISh1r1X1_7^O1a4 zD=11sY|pafkp`HxzaS|(v&%k4Iqu!>yskxMukJ~{^jXyGDfi|Ifza{y&{eUD#}QE_ z;J2O~-h!aljHqBnsRJm?DZqI$SDfj~x3>+sKtOC@ioC^@1wlCAo5RDd*CnWa+m;rU36`4VWSoo&#p0Y{8>>!vOvXXF%=fD7n9k3kMPn1k zOI*@Fc5@*kL!+(A@VSG<$3W!BI3PLvOY?@&`dRLRB(bZZYxlWbGRibutDY*nX z_IxNI)II>x8NgHlfJ)~|Ow9QqZ|Mg>hEqxn1c9ucH($OKt+HeErzv{}O*OUfkiJK3~qpzT+#Q{rm1YEjn!6~~fPFAEnC3OGs_`PMd z@C)q^XcrYDR{ZdA<==jq)eZf04ExP&lrhOIwaa!_XJ-?5mkUC_Q30tV&`jbZ5%GQ8 zig12Y44hju3ON6;+l??v8eWQ1foIDM5u;^%#NmoO{IT(1rAOI_Eo<#|L!P$fc9=q2 zx5Fg}B33-t`X93ij%NNa7Ynvgw#uqr2pY1{D=3tG<6dZq?k@NveXS6!mc?78(-lrF zB*ILE`Mp+^)W=g^g)TW&W!E-+MA}@yfA)@OM>F^Y%jy_+Pw(^&L1N`%arh%u$f6oU zQ%3ZBQ77T++_f+V&uN)mC@_9d2Gh=%0 z@nKnfsfOB~05^@L#=W|m{j^1R6w8T!X?cf1s;fT;H0rf1-;of)$L9ax_{G1c2e898 zW^*;rj4A($R+k@-cLDvGw7c?Qj7HwT^!dkW;VD)Zk~pb)$|YliLGPCN1GX*t_?_Ot z>q70+HB}}#Y9FZ=`qau@@HL46q-#Tl6-kp|c~oppp>?EXySjaUja+PiA3P6OkT3tX ziTE=PYJ`&by|2FieYbJn&oz+1Kd(v6`*82V&fB`NDDQ9DJn6!Sz@XD%@R346P{{Wp ze-DB-yMjN!rA!gLSlnAa)b%FGn#a)t!$086__cWvE0>|kDOCbi_l#`~l!gq>o@ffm z7tHUaWQt-IjyKM+T-0~Yp!t>0`B`bkVNZ)(&Ypu~uDMB)Ffa+|W(0V8O1tc3)s7P8 z1+=c7yYNr+eQj-Ls&(n(d6kL2My|Kq!i1Kk9>^l zq`H9DZiZK5g=g1uD8DILLbfg%eEG^zQ{SXwahE>L1Whx()O2bZe%AA?-~YY2(wdSs zW_d$>=E0h8!HYtLb+Im6$xN<&*$yqD&@81TLG9!P3=*13;r&#z60v`a6c6n>9pBR2 zS|vH?;-PcFN^uVjcbg?;@wEv{*4#{G9rA06#t)wqZAvC|rr(Z0=La#jF=N~&liB+^ zPpfH0p2i8w!D*iMEfKD1A+xGEGg5|c_f*RU$Tkxd75zjL_P`d{zBYE1%7_A^v&!5w zDWq;`Fi7$r=7VE$YgzrR$OLGR5vm4!KzL`hJH5Z~XqCQI z>Tykfns~tDvw)*wSbU-+NUZhJtJ8x``L7NSW%J_HgWpQ(RH{@0 zT;Y}ThJ9((vA$Cf!fu{l>w{l2jiOwNefliY4D9a=qi~SfdA#Nr7}l;Zpd`1OLnuBtJGw;R#JbiFVCZPLaMnDtL_ zQ=Vr((tOeNNZg7N`WP|HemAl^c5i@paxUjrGNjsX)})6n)=|Wlv$0t%RIg>l>85 ztK~n_YeErWlZr<)uS;$%C{sPt;F{$bhwaOjy2c5@{@c5FxKF;5koNnd%}s6gTnK^% zObErWVL!Q81c65R?xR;03cNr0Y3fyJn+_SQAXZ3>9DcP4qu>67fM-oj;V0Gzo( z&!dH3-`b&DiCPQQcNh&adwO~vgon9-6NfWvY5)*b&Z{j>vma_X?%`(G>M<|?VToKg zGgJzpVHo3khY2^SUXTB?9C~UWiaPNS}KGtA5My(si9d) z?pC8oY`fV)5<*D=MoBR8JAn5PYho_g*V3|Z3+pk+FfLh=2-vuMxZLcq?E3O!V{`Kz zNPzI)vC1gPnyQHy_?4eQ7vMH3S`~WTf^>0m2hD4%^@AAEuE+jd%>;Baq0y}B>>R_0Hb-VD(Rtn&Giaf&H%~DxgS+rIK2*AVU?C<5IHv2U#purN zO*z)0-Re>Occ?1}Q$(&kV;rh1MB`#^?F|+3oF>^O|B9MV$xiUrRT{3~Ax#<`Mh4D^X6dMw0h1eH~J#Ktyyn+dc{80cg7N z(jQahT|leE_&PwYMHA5|To2@o(onK_~HKCzR5!GS)*>7x3#2 zQCnqoUL+7${Tay|m?)Z75&poW9*q1zW#oGu_78_ucJfUWjF9DA2ZW_(X5H@Yeo_Uu zpL_W5k@ymC<&bCq%&W7n7L0Qb&>wi=)~3b=)!MdxV?)O6mR-Ii3E*psF#<)pth@0c z7UD5ioK^8;l>P=R>>CPOalYaK!J<((FF^oci59Y_&d-?V5UrZV9BnYCP8E=NtJZ%D z8OHw^{mfEMR=+>M&t|^pPD9vMeuH+Nn$(-C^R3OW!H+>}vBCgt@=fh!E0-iUWTF4C zVyd~PemE+?m2`BZ#JPBixYOPw;St}^R0JZLPD>8p#--=4{w3HE9F3w889-hJMhbE`Tlm{BWWI(U3>srAs&zM z&m7CEsCjJJF<2dfj%i%cb0{hlK?nhc3_%&a7*`lJaPf8R z0$aE&{P3K1K04VhFWB$LJW9O_xX*uA@-&M({@g3Gq-j~D7&W7u(AbZg^Hs)Y`JmiT zVMsA0_g@=XJe~{4g%E?;a8A4R<0nv-J*QEA)(SYK$eC>E{=GelrwJ~dOvO^n$xtD= z5SSDW#4Kmba;Kc~WaPcKVet2hyG`&|HxW;pu-A7uxq)%W89R64t96o;QIN9+?yN@# zfR{2M0Du(Z=Cp_P>ke;lD3_z|SXxIM&L41r0G?XeCm9IC2Oju41mZTlA~v=oC^VA% zRTlB)prN|If%_%x2#&~KKffN!~I`mx2})@vh_mVDWuhEGYz$*Q`HsLqVv zZCpk%*qq@%MMwys zLBu!mbr#6RI0$;4RP7?vc+yZuIQVOF0oiHNotj}|BnM6605jEWY=rwsi2Xq75LB+4 z;oDeCOPXd+%mj4|=M|mH2lsiJ`N7V>Vt)4FunGsQcKjZa-C8nmb%=u}#p-AH>20lriMLG-w^Qekp zSD9bGF=n08u-Fkt(U7*s($0>0*0}BHi6v1fC3p1 z;+QNkZ(q?KG3gR>5?TQvhnVjw6XO|?=5kgP1)8ky5>ysk2M!dln{9qvCA zFeaT|Qm$(E6Dm&RFHIhOSSp(;Q#6@w0R7h?&>8!Zg^%Aj!0u)MKwG4GBP(JV%A(Qy zYQk)I21-r^R0+f5#^%u2Ei+Q?6y4aCmIaICA-q2)q~Z96FrlpUVCZRQD+NYjco{;j zFxppReMEO`>XQ%I#_H};k?#F-*ft!>!7f6n0&N|4nFj$*@&>EFVS{Ozy`tOl7 zHr4b$KO-+*XVx7KHNE2b4#(GE9g29k^m$D8Fhoeu{ta1*oH*)$Y{Qo~;BsggD2CBB zMKf7}HB)#Kpksi*f%buLGU}$4(sn1)k zU~DF2nP-Z)SGvxN-V^{#OZVvY>CscgP#CD|A-SMN8lRVbaP#>4&)5x}r17(?+UB3b z$a`z*68f7T?2fZR|9GbZ!>RG_1&j5w!1YJr!QzERPoi?0A&xc>0fju9H2@uABg{4cTzCXd=EKHgzt?jrS z$hM+7NB6u2>KhXR|JUmgXA)q0NGJU!y;%&p)a*~lQf}Wki~6Pi0g%7ry%N5%(~I9O zm^SY|Xrg@@Xr?J54m>PPbjJ}SVZchrW>ne*007W`LQDt}&@>ht>K;4CHydK#I~a5& zbg;5jAQw18pxwO`^-+qp};pEEV{H~&%>J=6JDQ~hRRK~m~0^}ZKh>V1xfl%T6 zJf*B6wkngvNyYM%QAse|-c8=Tnr)MD*hvVW^9O}`d!POJ)6!BfT(56;w7nTPbo2VW za-@W;KF-+ULnHG)bTxvyUuVpKI}0ZH@hb~S(W{g!Qv6^0agwB#nVd;OiY zzi2$X2ooSI#n@{350$k9I+?`VgT~km4WS^kw2HDxmCwCHDrW5cis?@zF%vc2+!m_Y z*?oP=_M6Kns0nZd1cR&X!Ty*f&}@i?1X^Bg0HVzE%EtR zP_LFu{hRf@GM6i|a0ePin4hA_@jyoX8ak1v=nD^-HMF0My~?ts!N1)?T6X^fDo>My zb$_pIkrSlv5*C5&r1<$T7gJNkxqjlQ?p=8EzK5E)KCEF`T%F2TNfYDWtUphGQp;01 zqocBuCuf&`A>#F-;6TjW!%hnI8Pm3XsP3n`XVw&vEWH)NU97q)kgs!k9L!G=gL9e_ z(7@%u?HQ7j9Qrib)G9bNtyAQ0J2Xzq^7y7T5P5x;{5FTkQ1-!P8rUpZ1x?7{9Dq;H zSpmTLYY7$u#8cq&TLIoWT$Y&!Iu;Wa1q_GFo?pvEN|e47!s+d0-0a(Wy+{eZ=3=5=E z)*i$d`l$mIB7M{_d)W$VyTcB~B2cjI^n?p?#Y?nDlvg9G;@bWZJ>$L-_u{d0?EDuS zs&-t;`heG6@&F)>rpM>u!if)PGIhwEfBC!-`R0%A^$b9vdp_q~zKFg*&Ez~!j%*1A zsXIUeBYKDas|HBjRgz>R<}@ulAZ`&~X%D0JJ88~i@`YjzN||nBfE`5W-p!`Yzs@ch z%_!rREy!YjPBiqs4!58Tjq0wy%GqSYElLo6BLWhB2XV#eF-l%9UC+1x_E>xV(WYU!)!5@DA!Q0;#zA8%Nbo9Gr8PvNN1(77$_Kg^yym|>48YAAlrRTGFj@xM zCo+S<_{do^6H>_j_fwyAmEhPke_nJx2SlJ;l;YWQ%LH`yzd=K`hq{_D6!C85Gv7T~ zkxu@g5;DtL?KE5$*`+NzYEzdR+cCGCO=`dJz!)bN%;R4@M&I%Yk~2{`Xey z2l)`AssO3qJ4omK)(rWly*m=Hy(aU1K=CgxGZeZN#(ST^qlv|l7uG7hqEymT>zMWJMLWL+`B{gS4Swl= zgxn=D?cnh2q1oU{^4f4nyY5ABapkVUB_Kf0ik)oJr9cjoaYl6A76AW5qF`pE*u$6; ztd)vRg|^I0!5~MEITK(wl+*aZ785z1n7bkF-E0cHrtuE6#g0 zyDMwmEZlR9p>8a4;} z8wBcvwy*orvm@JRvWTX2nhV3Jd>KIZcRA($Qf6GFqe=~G zc(&IwM4+)RP^-BspiyA`1paKzJYP-v zH%QsA;sk6x{Dc@@c0otV1d?`(;M9-OgN!XmQ-)OQnso`tJ3%pco}EmCVBG4JzCf=F z8P(X~<=2^)3ib~NINi%)-ztrpu+bgav2x1ZPaEjNvs{y1=G0%OgaAjGZ?2XO)N#Ai z6ExR(J1bybWX+69|4Eyigu~ABa*v(->X-B_nC2*^EX%*)xmSTP6%M3`M9s13{e(H^ zmE-LHCx+T%^MPUCrCn92l!M04*BA8ix9T#V1bf)|?4?@I0rhmv^N;)3S=Ipwq@z%d zO$jQZk(zi>{xY7GmfI}Ea0&~1S0zup&72jAnrlO|w3U(yY#Lb~yK4G9ixcifUG50; zoqlUvk}#zQ8hO~5{5Xvw{Z+Ncc5A0o+)52WKg4%@IMN7@N4l&9Q+K@7uQ1&<%bWp` z$EDA;K53Wt?uY1cNlM|2UsP-o6OagzgOjU@F+(rm5#T?OMML+YUYS%a!?VI(uk8i+ z_`K|=8i9fQ*V&Lapeg@7j{DFTutJO*045l}$E)qPmj`lSAh#Vs?hkwcwt>B@H}<+& zT-_W+86=U`n7qQuCl)0*0z-yW71H9uI}u2(Yl!JeTT86Gw+PBNQsj~UBQ-Id`td03 zLpTWT`@ZWev5)m3jZ)I*!`gDYI6W;8U>8xxz?69vRG+hIrh{I>pAZ5rR$?QBjm-v< zzUk~%OCM%Bd>REmcB>zzzgih}G^{n92&$cxuLmc_xrT^e3)U@{C&4k7iIX`NC| zS^*}np9fwS?S_LwM7PJsWlYD7gagR5R&oOIN`FEkr(Km0$5>NH4W@Z!sFgzY>|}yX z+&(!~xELh5iks-NR8=oGdl~q*oCWvnOon6htr`z2sfKWd@rF5cgT3U~maFpo?OoXvhQ}-<@Rt>^WoqNZC-ARnf-)ym^R(0?ECCdo_3EAEOGBrhO$5EA?c zd=!(7zO^9+w+OyQ^pUCF-2*DIf1H(}=$IbdpLS%%c6bF5DOHVYEc7sJnCuunuag{+ zL3U|{&TMN+Kk+^{>2eP3LWykeG3BhUAK$x<>4a0*@!*U5H&V@>^hfTd@MDb&ym zRrF>uaeYyo{tf7J8@&D!&X@#i?_;etOcq@FsB&=V)c3rc8<+DTR+b+F^S?PP05(;I zQw%-mTe2p1fW!iS=3>Zmk^_mc-DcRf7o(1et*VT=R~5H=ltx|O8tx){W5B+b6)-$0 z$>{iU!VE=jZ1{`u^Y#f+NokptZbV8fSb7PqTyY0vK~vZ-Br5Z@~t|C z?i7*K#16EZH-KuT%L$2A?3?siWb^+<MoW!*@=mFzurX!;KAOo17V6pfLVN)}kM9Z71X zF~nl2tHYAfE>F6qJYo#(K8rLBuv+Wpd+Z}7oM&~ydxdNB2_w#fs&;sLtj8uxuCe#F z=6*vVn7=05t8+^V3wyp?Z(j+ae3CQJx!a4Akrm%XK9dV6Zy$=_BIPh8ULIb7B0{H0 zfFpxqf!7Qag+@j~#yp~NBO-z~32q27+389c$6eADOzR~KZN_uZSib~1Z~2!#qIt)< zd6`;0FBgJn^*7oGqSbHfo}0x<0BGva3v2{VeK*HlSwx<3#_gPAU-CF-7pz{^Jq3b^ zjN_ox2MA(s>R^IQheqAaK`by5cgT891e{9JChK}nrczMNMZe||cdyx!+!d~{BHL-L z{phQn5C_cS2nSE2t+nQ2yiAO+OSa%((VzFfzo0IFw?$tEM18M^@Gm#Ie7wDHVsimr zXD(2?z5J`{q@T&(N8Yb{-df%*q|W_s58^8D)Ue_nhoFGu%R*NvrYA<1Y2cJE?eFP1 za!OpX9308S9%A|xIZK?VXnrR&XeO(S*vqHx!FKUtyx(u(|AY6>ZYkO6YVUA~#y@!G zB#~gFok(m{mf2*@EwZahx^;Dkw&Qq(s7D**)jlAgSWny9EN>3@B4DHSW4v^4IGF0_=>Oc_h3XY_}ul_zF0xNkkmeM+N#R>=ccjJ zrqeuGPFpPRT`o3XSKzb2v#SJBs!ec7GxF^eS4P@Wf@7_?F=c7w2D2e@{4+nfxVG)E z6m!QHMk@Y*U!>h+EW$EM8fU@agO8ml-q;gl4GVFou&LuF+QuzrA2q{h;nOM5POwb_NZSkAAyuv(V z=YMJBEdjENi>HlDXgy5maLKFY?eW&S9@C&7^uC)+MM;meAj(nt{kzagyD*8~SAFgp~AqceZ)}|NS;lwsUZ%x4~^b zygh6Nppzr)9cvl+-2+eE6C&u49U{_*&TgMbE&{RhJ0LLwE`VDmEVA8Xu^wV{qicpF zAqd0s)O0$;2O$mFbN2w4kNt3BiBmByFUvZ^0cLU7atcluM73D!eC1wIgNrc)3F`S4 zw)N!PS(@Sg+0XDD$AbfZrrM!ir#6|cMP5z_?W#AU?_cxLTL{2@QBS(RRnQf=5T#5mgs6{!Pjx)|N zv%%s#NFfM}F@TQtGyTzCFweUts&JcY9itzyzeeSmagLKDSYN+bjyB~lq}AFSLJzva z*uwZp;6RW4zJ@#DI)~*hX0xz|d-aSI8~3$u9?+#GYontAjIys@86|)|qy>19H&BJ+ zq{{PGF@G%!@5ugu7Dof=G%qm%UjOn@}2Uqvm0;! zzs0Zcd+(_x7AKkgCX0&`{}!h17P6`-;pLDzSL6MSCD5IX9Vx9qq*8JKY8e*xlhHZK&5%b{#L$Uke}`07jolm&X68sn1R_KvY?rNv5U%=j}yEj+9r+{ zkoVE9Xm#8|rpN<~3kNdJ#uH`C2==epmq7>b*+azCLPVqlLvY8-ApXAIF)@2($^4o2 zb?Ib~g#-;gVE4h;`$KI6w3pbs==-hc!0@GR2OZayL4}|)P*AYP)O0^H7Vmjt0Z#wS zWnh8NKfIlvvjhj%ngKwdJII$5GZN`TYsU>>;(RcbT!_hRQ!HLp+g%|+?zr?iV%xrX znNDYd2D7yUeLBxggc*eq;#>pFWFR_3N_vf_Q)Hc28knwO8G zQKH-8&Ctlqb3{!Horvs+Zt;YDC&$Z?8n~D(YCFL~R*Bza3Xt*WgzPSmsgOjSzbav* z=VO-f`-lh@R@f}12a-o;X&4@j0-r%~UBCk6&0 z<{!$@OpL?!Ite_BEAx<*j*u)4EJuaJgo+#29e}$b{B=!>km?66+QVhXy{hEe_QhL! z919Juj(SAaxtoC3EXx{ZuT#LlGhw9qiFPFWX5c$0N;DuUwsVjK)I#DhUH@4z^^Xy2 zpPilhisPqmDCC7IcAf`m%K)AoINM;@?B_lPNi3$P5xjIi6ve&2^}Krq95COA5+_!S z@88c`(=EBw&ZmUv4*L>RW{Upu<_iCOC41^D<@Y-AOoAL~{A&^GWQ>#bF8M@3JW>l0 z+DU75ZEbG$*OaO5UuXdLM0wS%YJ*6u;E3|`%Fec&s;Fa zfk(v&a3^Z-mB;OCM*KAXegZnPv3JCQv@REt1ROYH;06|xoiSO<6Y zfPnwA&93S(mI{+beti5BU)_X#0})7BpM-iw>(<4n)GA$t%3~N*n4A7kHEzI-1sB^E zaSanSJ>Q;amTB%G9o6y%$sykt`=^VU-&2KR7K%rPWp~y>`oqwNZ#sd+y4Sfd*Mxfo z$z5?VaD21H+xkONA)gI7Cl;|{mZRYV#iyR5dw#jx4DM5z;_72MUn8y$h5clr2Q0-1 zFj$zISlZ4D-^?_V+lqpxyhO;pIn3XNkT=aa_Wl(6SQXy)!_-?{t<@`-C33}x@F^_R zHlhACT(*)XtJ!%W;*qZGQnXvGpIy5Rg)uedba)D2yc8!QjN&rKZ@DPPV;=xr=eOWm zjf?9F95^YES6MvPSPVj}p1 zT7tcTbrk@Tm5_)CctG?uge$JaadZ0i6>ui_KdgI_jX(Z9U(L+SWb1zH??X$ue|$VT z0IVP}Sz6W4|L!XA)*c}b2sN4h?Fh=FI|5L;Tt)afE6IBq{##QR<=q-q(vxP3K;Dr+ClzbIGuTiTQr6|=H172wbHie-m z%=5Zqe|}Z@TlIPEJG9((%x2fQup&^y-$~DB%tJ=tBD(9!B7TnLMaY)uTXLE9pW{7T z&io~ifv_q{pOkeK%FDwHQLA0Gecq(cX8uteKmKQO@i=Nbnfl2|t6*WH{*N(!0pqGc ze~oc*VJ08A9_b(W26!PxJQdUFTMCBLUL>Ug9#63eTDP2; z4|PBH?drV!$iy|p5h7!!nOuio4v%r#O>IvQ5J7Tecjj8P;{hHTe;;Un_bs5q4us+! z0Q9Pn2(@@rl5f&IMaN-y5zPel!?C6^jmyxDug$Q=+GyNZ!0?|AwSxOQ(OxwSoQ=0VS_l-aIx#Ja~fTdp8S!8u=YtTtaXPvxo z!l!0xX`Cx5+?Lk{cT9n*fmaPXdt_VYniypOXp{nx!@%YOoC*Q1%*%iHHXsE07HGS) z_xxHM`V`XX_kftToNDBMJPja0AAt)vk^|q|-F*N^`ePOR^v$bPMs7#=&@;EMrJ`>@ zY`7f{v8Wdc?wUODF%D9pqBagmlbrik=7q)IBpliVMQwjKUj6>%Nm{CiEm8PW2siLl zKwm%6Eudj?OnL{f_qOy4BH$kU`H4OxvG9S3%a2;hDDoS!j;4g5P^Y{K6w`xA$ILJK zlt!j8yeEKE@`NyxK`f15schzMNJX3M;%!QL%TMxCKrkqc;FV z+(qd}T|>1=6eS2T?t~DWJ6G=CG$uWDhES&4iVQez%3843#|64_hN{wArg7Mq{AAy9 z!UiHJLV3~)AYDo6QOwFe_7P~>8l-Y3izSPj*^bE(J%40WE2Tyjbq;wAEO8;d*kr7? zZ!}r0=T`XG*ekSv9zfTwv}BK(Ic2ega-0B!E>!?MjyglDA(pYO_doqx``ZQu&W7J} zRVgdYX4^qBAjA3O)siBM@}TdWOKtmWBv=FO@J-qi>5qXdt+X>TSnl^4nW-g?P3%Z~ zGtS~7sT0cNc#lmZUj&4n{wN^&!f$Te+Xqpi4*H9~lO+i2Hm`-NzF2?y+*e1;Iry z)Fjch_l`53LtK}3u7Cp^(n|<1Dj6;Mm-^}djV73ATY#czixNgTX0NPh+G!FPcLSQk zk)in|*5_(v$*f-2zqZ12d^y0-6J31JB}eMd_vi@wCdVmcTXpeLlh`gQ9KB>2qHv0j z?;I-$jRE1~sRBb+vE2M%hA#<-jzym)f=&hup$or$q7lPwhw2-b#-voiE$N>%0Y#h`d zp%U<`m2O1>f6K*WC=8}g|8Osvh@(;l=5?%LK>lFBL>)yqJUP8BcL5$ll5BwG=Ve)z zo@?J=PA}d(v{$p+_+1zbfgQz_P0sD%`>W`?^5(+E=4Qa#{o(*SKbX1)oM2)cr=8T`16OCg znwcODW7*Tvrt^QT@gW=gMC-r@h{?yIw%KUnP}U=KhmbpMjS?|iyVcJtRT!CuxC3?$ zdw46BCH8#3zhsZoq6B*7CgKw;e0*QHr)z}@O_V}-`rhSyVU>(YaBQMN3lXj9G)@#l z=M3tuRM&XL*VWP58a$uU%}UdaCDcR_#c&A>$3b>;C}=R8Fv_pZf$SoenUDb{?>BFP zkOzrF$c+%#w6phax@vH3mJqF}^w3hdO6FK;%2ll2hQc!3qKLiBm5!%>D1+kwzlKj3FgiC!ut z6b-HNn_M}^l5`+{t45veeEm!3+>eDf-&_NeLfpll=wR^8|$;k-@ubs zdxF5^S@G1HEA|N@=i>}K5XC{Nu9CZiAkf(rK9K}di6#O z091C-o=_t%&vhzX71;Z>;0Q&zPei(CFvQn}*6P#;a6RAumDpKGk%U`py zrHLCk^bIgJWw?fG6-}f5Oc3Xs0UMtU%E6y| zMGeG%n9IB(%V6z6hqf}hc?^3D5aU0ni`qF3D-gN5Q4^#6IT<~_eDaf>((;8S$)X`? z9x|oE+T=<3v+>dI&h5i^7eDZzjWqm(2pFkx@h8)iSOs6g-2eG(_MyRp{f16p(S>LDuI!VuV%Dd~9}K9m|NG zQGlO}+1z5PKqWpxyF;<1;qqfp=worJ{mw;Gnj}P#nH|!nMLawsY{P+ZQ*@<~AY8>W z;DTwCjHx-oF4vGOHD$wsdbwT{q|>-FLa$_(oZg*c)WzN=TeTTt0qqSGt-IH0C#SuY z1hh>{)!JI4%VExBBV#NchOVsmevv<=VaiUp;|6L?`a^9d0yy=obRy=F(*LOUL>q|D zBRF1JvWvlhDLz7DQo;K>FkptY8P$@&yTFNB6Cd(QbVEhF0uAGo!s18-qJMMWYoOcz zyi5LmWb{vZ@BjUTt%cL3N(PZd1+)o{(Fxs0miLWvze2hJ73nyG+4FuE;}N{6+$Ksm z?)~h0<5^RZLF*$xYr<`_VmBY{zdpn)toLtG48H7BYw#hD#T|!H16pTy6y&3W3yi|I)RW)J8kyjGSy-) z$~g18w7fH-5Vn#`LBV`UO)QE8h=0xcWT;V@wsk7IVA%9h6eJIxeES;y#JfoHwk;X^ zdxmMb)PFb1@qTU5A=$Ejy3OrzC8Tb`+Yu0UL6BP}vH4L-B7Itv_1brAB5Ecub9)Vv zBw`w|nYI3fD~W`r{QJ*Cb~-3Z>+x>f7Mgi^>n@zg2gbE( za)7NxM_Yc;HUn&TE+ejb?72zRbpm)p2jCQkI#rRhOFM~#df{B^9K z3HM49spb>D9T9R0^-*D(#q=`UY#?{zFkLT1-!U^&Gj54F8CF0m61Jw=fP|RvP=w){ z^AyyypErS?tt5mN2NG7!;l71zstAzO=M6m;`Ylf~*WI>itLBPq-uH?uCT8fK`4eA4 z_VJZNZ-jU#p|Aa96tmUr;+xn+TKjdKP=3B|AKdIPI@)ipvsY^BhsvM zUbiWC5fT}>gpF--t&bZsGm;eHC-Q4>j6o}m*g_=XB$@)tm$drCsl;VG4_Ye>vk-3p zzMpkZe+)UJq?}#AT0qiumnn3e=J)JMDU1F&_4{8$!9-v8%SR8TM6EOt2k+wb%4Y11LBWT(H?mY_%OQj9Gc1WvY-~REu8yK<`QN^%(B;%2u&R~{ir-}1e5O!kbB!)d=UT+56^h}`~!}){H zJ7R=p9MrhRjAvcM6Q}xi&VD@9U@zfgY2I~9CuttS-oVe(ekGf`E1e9)zg-3`SM;&7 zGDlY`15`w$Hqwf*p;hjkl`0n;LS#iaG&y~^wM>(dJ__!9jj7$2*}~!b08%9ueQDU1 zwCsiWUxbfx7kdzFfri@bvI3gJK3EaV_{EwZ!8Iji;_LV%HH{nFm8~^McqW*foy@xV zzDgSEbH^1T`l|9Xk~wei!@#b?TR3frZ-wLg{(|;jBV9B+cP$(o-~5y3bd1TAWk?>X zZsp8bPEmRTPxLLWnn4)0xc8>l6IkQnjrn(!JJ^-R&(;_>a>YrL^_d^K7+SKPHhS0h zyIV(g#WfDSfJ{kJOaLAH+v0~y&KF%5(8~tFat*1a3u#w4B>XZt+*q)vmGx&NNv2L> zU2T;lLe*0k1cR1<@C+fW*X4!O75A|fLkQ%Z(-jVFQuBvJNR{y$%(w z#d{C@M!x8X%uu$cr-yW>`)zH2#mwIG6+(R2Sarn$X7tvo52jV8n95vq>&Z9zPL(Ml z^4ZYD0U@rjBHSd;yto3T@o}5WoDU*rz$Ctg?^kZhq(mTPtCe6;?clixhW55^eU+Dw z4^!Nii2$OJYpv2LfRF?1gum*`2^)OpT^dDy^?i{<1C@M*@wK&=gh!s(tN(feHS#rm zMU7So{Z=I`?PI2ZHdn6=8 zDl3F+;Kw))?iP=(mV4e&A!NYJ7R(W-WB;sP!_#SCf>F$HqQ>yGySe%cCa^2v=_EbA zyy$(eY|r`#v(sjA89B9gd=T&r?78Or37}rBp8s{?d!%EXF12|;c zlbMuK#m2yNs5ksSlFl+HuBO|K`(NSRV56NEN5;4nroKg&dyG+Jm82^TV&(aAFfWotm2r! zqQa4Qx>6})B9^Q2U|kFKzdrg$Cd05NMC)ywU(eI2)INkO&@z!vLK8*{B|~ST*1LiW z-m7A#6MORz?zn#4%Kk+|$*MCxU1$z9oGz^3mlkefh9Kn^>9_VJUHYm$um1943HQqq z_m89GAf=cn87c8TNM+CNTRs4J4h;5O%F=TjaVSbrACz@=3o@b#A+aLT#J3L|jw9KRh`T<4hLzfVqzagg$SHqwT)zG9O7pjr3dN4+0L8?XO)lgJJ%(OlE z9296QRSGV$t6j9>&$7~*Be@pi7|k|YehdLSKcAMHSA$6==uAuWT8+qmMYc5_OG*J= zcE#%Nkn=@YvU#S*>~XX^2F17k%8I!G;S^w1$u@0WxWPfO`tg~TB~tTO%iw3}j}Fl> z_esU7_f`g{R~22w=dvpz*Y;l)IMCp&Z~XJhfub2jj7d5nsl3^^;nP){FWVLhXD=(s zH>wC+i~kmCXIkICFmZR>gn`Veg*YVa+!}b8HEy)TO{;Zt7b;mj;B>p%)HCdL%g2%^ z-oDhao-q*_&v;t7tu4wV0^+OyF9f?e-ShrvIHm%PKvIvj51WI9L`CYO9F;PgeF(H8 zWi3`Lf(@$hHRx2lFpk~wWMY zejJ*^^2L^QA$I*sIlv%vGDVRXH63-6`*~2Q z@l~{jkS2CRww_v=kS6(d@@M(4!{-3EEQz!0;w0atV=bf3wmk`;3vYeGyZ1v^Mq9o~ zsjRm!5r4&oSGb)a4B$KMNqvVftE_bRHUO9~Pz2w$(Wl9^5!^lYMpH8s%S^W(Ewm}x z6)P^ka6=N7c(KvPZ6-;>eah6hOBWSfQL8ux#>p@)CyBfs` zp4b1H@&yD}$O>+>6cgD9rI^i)V?4oW5)lqbgdI^-lv5-TzORcTW)LuN=sc5F>h6Ju zLHVq?#by@+9C31((>BKJ?)iZ+1__6D9QVEU>k;2`g4&;CiMa1Fyq_^oGhM&9C{fuu z8HRFvK_8arUmU<{KXlAY_k$N#_k@D?&bWmCmo-jN)J#52?n~08D&rR*FuN-go{#cf zPepyCE%gsO_ZO{Y2IQdRr%Snh;Z~#M!E97^SlVtGv>p7rr_nlOkyof$^W zx~N+e9b(z5stMQWJV~gleOgnX=q^Zng4>XnTDZ>W>jDjUlcj-Z985Il=payh(?Psc zF}b2fkzJcFxQ##=0&Mx`_l2h@hGKwI;r5n|SsSa$ zlJ#`N*%!E41%`TQEx{sxnbC64wHXH_a00b2I>HutEk`Le;Vw%cDrH6I=reRpP$*`Y zrYh@+kC*Iu8kgWmu-k~g@&`$~sH)6^mzy^GAx;)X51NS34cYWq0C5qIM}nW3%}9mE zu6k>m?ztl#NTT^F9$eK`BtSmLJ-_SRBD{!f`wJ;b=fN+&I$27i?Ggi#i6Bv#CitCY zlH_`L20=`CbFfbo^8GBCB)Z0MbTCYbZ`edQmx=DzU=M$|LZ>Ea@xY9_7A@VxCu0}N zhn^Ip_UI~UXMWt0;jMfVi*Q?%^JL_@u5K<#=wqZfyUGiR?0BIv1tA6eC>U%KvyX~K@B|~Jq@w6oLql=_~#LFFUqM@-ocT7i5LQUOzbMIC))Wa><^{oI|kce->Y7tz!q!^ za$~zEwnSao`kmW?!O%=Han?#w`a(*cqILWnKEMy>-}8C3BRYY|4I9eAV3?Y(tfOSO z>#s#y#qCs1jwIOr_k<4IkoXEAd-nxQmPtOvkWM?P8q3n2w<|anr~P}vt)^DDI;Fv~ z%ac_@ux{gwl*XX?Kfuo$7q zt_2T1vo`GePUA3gSFea&s*GSF3r$*aFQ(3B*a#LEQyz;*Uhu*LVl9RSST818&ucx+JNJ=IX+@|X zLVLos#Mm)vlX#>cN8PF%&Q!`G>QOgQdf zQ|3?H0s;~sK=GaqdUx{!luHraI|Q zk2gpN@2`1rRnR8X+P@&UJ*dJ2u#@X)JA zlDO($)1M4G~*(Mq`e+G|k3kWejM^itr+YjEgmS*T_T%ZuYEKc;kuvBR05;C%pA!Ff8iLSo=#G5YUG=edr($MJtAMyg5@ne*a53-PjDT7uw3);}Qqvup zWhRV8JNx|Frmrr@eVaSIf5u=R94hQbyTwzJIny~?o3K*03L);~cut}?t|~$h@w9rW z^^I)6Cosr0k;K`%wnx|3}Uw#I+u2Wb64vm!yf+0+4z z>TbeBDyFdY;P(ceY)PQ3a1G{eriN}`HO=Y=wIN2IsVF&^qKF^+C|ae6^xqAEAtiCB zM1$kyapPkllTjqR<7NDa2c}=jW0*1pL+dlFG(xe9i1dldk*Uero4ViGdf0x|>cLVQb26chk}>-y4_6bO^J;kK-454O&iYhLnl~E} zp4glUXv29I4JWoLi`@)zt+R>=-uMaPg+c~)ln3KSl*Ir~N4@Oho)wT00C@EFAP>0# zXY`asO7atbpWoJzZ%6woG4e=R8Fd>ZVHH}!5p+M`4FY-{tk^W?yH~KvPIAUCBg1;s zeRe};v%jtwE^&pBpGDxJb=C=QQ9m?o^vm8c7J!v6J4YW|q0{(XM6>B99yBG>VkVrH z`U}eEj^Gnfpchozg+uGAG2m zedb=gU*e-m&v(HJH%*y(LuSW;vIu z5zXmuiT?-&jO@4XnQg7dehk5d8>c28@{!SC(4(_Qly0 zN4t_gIt*fll>?*aO(6~>P86ezl&<&^!>nTvc?H)gA3_ssR{%}OWw~6ogq{vIichqp zvqEHzZNg$WL9L{*A6=R8?1Mjo_6!-s;BN>sx-l-C3#6s8hycy_X6K`YS5~EJLW$ou zm+VWVm5>>nuf;@#prdwhXj~}?M*P5YsI?yUA36>Uv*f2do->YDAXq0lqGucrm5z;6 zSFr0lHryMQSiL`x&!~Jw?b_dXFK2cH+zFn-=wO;+>Vqd!AT0e0e>Qahd@WTg>$_li z8Q8PNaE4jd)#iTHwx89v#o+k+VD&%7;+}r4WWj)Lq$1Cc*3_7q*$0`e3dvEqQrzii zS%Y-SXIgy!jz2>vnOGleKmy_9N++?IW%nwf)REf2F{<9J9h$Hk#oUxixVj8dZ$_>Q$kRls+U3`bW}K14(Of zBT~RyQNekIpcn~Pn>Ch?>H?D8dw}Y(9l?rT@}a1(r$7{1;(h`XSLY)~eT@0>E@Jq$ zFC_E>f;{&uEzB<~j2)VxJUFi0?i*l&M$QY?i7*zT5Rw_Id2QEwUw{0q8}s|dqUn9} z@?%Fa;N@>ZqqH#23;`Y49+$W0H4tF~G&|lkb;9OT+0t!kk-}qENpVpuUDWPo2U~i) z6m=wQbfGq$R-EWG={bnA<-L%sLlU}h4In|Z-3V8|-^xh18c&1dU44xk=w5t8jtM0l=IApG>X3_G690*Lh#sFAW2(+Jly{Tz-D3i!-xxFMxNQjiN z8aBFkf2n0mNZdi_6Nram0{)z-FI-7bh@jBvq|-<|#&j<5CU>kIoyj;59uqu7Q>>U; z%IK=$Bt{U~C^U+kuoTq+kLO9VZ}QM}z%w~&ylF%ycyY#j>>oeG0RUMzIY|HL$0?sO zlHi3Uubx}#)w7kaKs}3~;*<7z=(2nt<*6YK4c zpz_)`^Elrp{+?eQQp#>?NP+A*Q#*&94qwN4bW0&LC#U9AB6fgyfzoRrmZ6nbKF?vE=lpT;*Q;l#` zHlrM)>80wn3_FkOBKYFJ{Z(<*Km5ypSfl)1nfQc0D92wuE(u@ECPEa!X-oIJ{!LfD z#)6yJOkMxTxU%~NVLVgS0UA?gV)gPakCys{s`Nd1Gb^fG#0Ck5c$IiY<~n~Naulpd zD2V3qh-4b3!XJIJ(=zV$g3|yfMgsO4*UvS!cyUFkf~DT1u+5F2D(F4fR0=DBZYLU+svGCp#hslsQR2G23dBX z5p;I?hXewv=BLu}Z+l@zy&I!n*zklk-%N^~>fo`l3>fI3`$qD}GVH+rigajSLtoVy ztibi&(QtghB(Y^-$tiI?C4(&*iv4AUcKo{}49i=D2abY6pikR?)(w)Ogz%3;tEsEM z7SwRultl=OQ{`-6$=|ta&rl3S89hqf<6oE+o09Y~hAMoN1BSImypPy)|6Lw*6r-OG zGc|LShN#c5th*b2bMzTa#QsF34Y@S=9_U1RZF;n)Pb-? zr=JXUj?41yge`<43b(C&CAtzPRYU+;ipwP+8lr3T%_c6|)Piidn)nTS9i22Yb)sGL zGNvi`gRj_|Az=Pz<>6!1x0gRuW*^dR?7QSJG5iCvN%L zHT%9O6+@#ZH^$xq32)~}RdA=VKmLQ#lUjhK^c_*T|0jZWnBvWqv0`+5R0B zzN%jYzMt6|^6;{UXTXvc_s;raS=RzX3#4$WZiJy#n~UGllD^k><#{EcZd^$m-lwi* z@8Bf+-!)MU0u%8-W+$?)^Nc;o!3A4uNZ>>!u7kYv!Tvsi^j@pd|8C=qrxa~c+84ms zYA{11gTM04yC3Mc`(|@n*YikCspxi(Rbz?j+`|P5*18x};8Ok#@6^Yv}-V`Ra>NGGf1pr>)?vS%aP*7{q4PcrNY_X8g;}+54v9O(i|A!91L4uEwBlaxVirr+a zuh~W78+p*xQoOHZE#@77PNLxbyC9$(a#bcdx`%5a-071K+7R=#-7UQxgf%SC68b5+?t+u4v_Ap|XrZ9x3 zl+>+0g^iinx*2O0DVY!T(4SuwFP;(KkancgnfL#I8mmPN>rbV zRYoDDp(#MZ(OK)`=?OGzOfHPTPMM%Sza-0C z+xJk)PX_|S<Y9er!i)YYgK%3|mdFIl$L>RNkJ<5R zn6SkL^Dwz_n0Vb-l%U@MNr6Q*-i(>cEtfGT&Xmduv+<;+B=wD6jj;hf?^5rS#Hdg< zxW>-sDX=+FD4BzHRFK6{T_rpCcu4k)Goz-6>MglzUi6PpP07jE^_LBVcnYiv3o`y+ z+N2w<9uF2xW0<9N2Xea8x8FNCCtlw_1|m>;f4d-a?bO13HDIl2rX-a{VMld8Cy)5y!FLf^>UDq4}&x@q&tGZQwx@R*& zXTiIvnzylKaDcW}pyCarm(h7EAG6zt1@^awh#$DP!A9^+(5w9qXByN6Sl+ZFKJkdd zdW@lcvY&eYq`tW^aA;p+>KzP$Tm^`UlMm%cUUvIJ51J%;!Scgk1=9uxjWgGVz}>I@ zm?rw)p%uwbwfEKY@Ikj}zai07z3buoWCCpV`lWnH-h7|`l#>6T2w<#`x}nJ?F*{)F zEY<^@2qCEj{LxLOM7jbEcd0d2!d97zQ6`_!+PWv1~Ad=yqQEaM?buW$-NWTEj?KaAh87*CEN8!^kAb=_ zMq|bD;;GmC>GAD~y>{je<^yI6uirekfEw!r8?~#dy`Tzpa^xm?KzYUJ5XmOjH!wSOFSpL98jys)vRK|dt0WFAaGcmZE*~mYH<%!-C<}yXxwy$c`TZm3F z`nlhUd7~cEsPqqxaEO@L>(iHBOWD}8)A0cU40D&e$NDyqh9I1m!9CZG|cj(e!+q;UbWwF9=^PRngtM}U}7&oiApKI;{yv9bqZXGz6F>6 z`%eix^Z6|JY3XFjK;7axJUdRpjQ66eGt3 zPTIdcV_^=vqkiJr?jymPrKfh=;oGnCtyyEYp8Y;o_PrzbYQI2ZF>ecCnwq=^{Lp(u zk7+UniSs8k!7Kg8f;%iQ-bY`OvR1B>bLoulp9kts>~$?pPN2AYk34>FgP;dSdV)3M z+F@8JW&H4ydvMbt-sTB3j$_&pcBIwy>tRis51joEV8pA{h;GsI*ZqIrZ$wc|1}>5E4B%D8FMHsDT&xj!c}VFWF*QUO}0uL=o1Q}pnnas z%u}e!Xko-FEE%z}G54!euy3|uc`*+m{H0!mVB`6c>GBALOK6ehy7WRf<}1KRKUAPZ zxx=z%YE)iDLt4xU^R`2YTm|AHK_UH&?)RE$?jHM^v4T?>2o1fBT^#;9C{0c9Y2IcS z>b%FC4+cLbUMCutaiArd@Vo~u}%_(8Mu!WB!+d1R;~Z-0iatCrFnln~k(gj;*z84v2=8Rh*Qfec!f?Xw6?TV>m{Kj zCGA|~14Wh-DzX}NfYs78?8rT_LZb+08PWA9Tak3s=CiKpB4%H&zgOtjBe-6vfzO!( zpK**)4nDpt#K3vVzt1p8eG9+2FK^=v<(p%|+e1v_<`D*iEyTdK*CODhkmh|@W%}PL zWR!C^W*d{gwAkng`IftqCttx{K(3+0Rn8Kh1%+2^4<)YtLA_Zc^Dy{i{|bs)G9V%D z^o7Sy0Da<4@Xr<&?{Kru@t3AR9<$bZbkrF2ye!W(p<0W z-63CrN2T*_%s;%EY-OVSo`C4FK>y43x|Zp*Y^q6ltmG(E z?g_9hX@4bXP>>n!s42o*p?iP-i1eiXa_;{=C$)y|prbAWvXgVGzu#1$$9iIBm!&Di z4mI)7mfs4mNn*I1ui{6x9;Ze&Vs1}@+Z1jiX?q=wsi;LIF1Rx$x;R`RM*`JHM!Kv? zQUZqr9wlWiw!y8Y+iJbBgB=a{=8}wIy@jcAY-U)hp8ewfCb5R(&$b>W^C6S^Y`vxL z;yt}7rS33q)}FEl!Q9fua|-jbIC}lTo8%ts8aE#9Vj4g-3p|Jrcn>Ka192(ux}K>? zT&?+y3SpqpZwD*}png^IPx_9Y-G1@T7~VB&RzY3T87#V9;x>H8NP_ZKC;6Be&OU$w z9dw&Xh6Y9txwM+~ojkO_8g-E|`ON(Ch9!UFclV^aO)AXTYkpdp`ym^p>}{hyenlJ`Jl5!8b|}o zn+!QWN_QkMa-fbZ*dBz#U(-^ww|JdGv{t}Z3&oB_Gfd-XGyCZ4DB=HwX&kiht#K#@ zkLke=sZU#`nlN^S{aoY&1|H8C*Or2G*~nMoBTd_f$`TXmXt6dvZy`1JdHgBGotP0( zm)2cBf&}Xr!QU{nrD>R*P>BJH)rNC`=72r?r&&H8ruLUtn=l^J>lY_S;2gm|ia^V6 zyY%5tl#Q%m#^lR0`jg0(cg-HdLMDJ!V@lI@^djYMO4?Ixo!*n>3(bxTDw8FJX%_8c zzBEPyT(5^VxQVBH+`^-yB$(G9{XC&jKISNm&bLw12ci2VA7ZM}@C6 zdYa5t!_BE8=gsk;L=2cTfS{wf=W%5rdtkqom;_R=_S_`LfDx#RPbB9G!h}}rhNG2D zi=jk`&=g3N56wM1Bj)ZkoOYOQm95&<7D9Dy0)YygYG;iX-OUhqYzAr!F~?s zoCf7H1}ksoDBvj~;OXu87Msby3QU5I7H%ofp8%IahoP79xn?S?P)&50z9TLkwaghY zY;J5=ZnTc^{+w6O{7RIIRtbYpQ*{bf8s)JiJ`;?OGP)JNjGVyBpB-ABKG%m<|Fzq*IAgNm?C08fHHH&5(w*|x%nV7c;7?ND4%R+jgELi za{^1zhGDL8a#bgPC&JsDQAESCG%Z^Y7OH<$6F zTjXub{7G{QEN{}l+9flue_f8VO`ND!?J$EgLCx^`$ipKbfC;5jmBcki8( zb*q0P)(eIqLASWr?2M4@1X9aD+WKcGYJrzCbs~4tD3$R1A*vjkgQy3(G)gGet)9r^ zQ+x#^|GuDkpy36FJaq3#@*@F+z>OPZ0XvJ+BzIzsOmsadD?#PoR*~vaOt;)3$ zLVU2MJUsJ}=RI5Ci7wz=`~Zs_`@|2NUe=4!tfF5PqrbQo@OS7JC7ZYWtdayR;^D;K zahLzm91XBR93Xz{BYt~m?Ez?_K_urLe52BT5lWdGZTAW1q{%zlZ=ru=+Bk*@2L&26 ze{qHSdt{VXo^N`73FtuV0Q zu>K&+W3=8|7{c+52kB=%*}E&0~b6O`J709R9G z9cRN@FB_PyLz~k$?{_8c7f@aeGRZ}@T@Okc6~wk!)Z+qmD;UUf1n*Js$7CBb8`0-j zm7M`S{Frb6G4`-?vP{7?_mq=$J_^F^hm;?On4s+e3-MPhSHJ`ySqGS`^vEZ7KJMTD zPV<~{q4N&B|>kH=3zy?dfI&S!!m0Y+Qkl1e)K-O*Bml0A8e9Coy zt6kc7JRW@8LK%5>iYZ-Jr#aDmWTK%IKuvb(mMcDwqBZ5+%&e(E7BdsbuhXb%u~$t_ z{j;-jQigjnTm#86bU9(NbceMp!Ri{uC)3@98xqDq?iA96CmylrogYG+n^>a5OnMj?d zK!N+1NkmcXm1dN*x>KoX0(sH3cl$C zNfj%y!hSl#QHYXPoIhy56mKOn5FtY3oDd#o74C^Q$1alR zGq9)<%{CSe=7COVR9@peV}+Uhz>bz7-Btl%wd<>udPRfVcTQ}nAIxa|5>V{Qfd^F+ zit1)MkdX5ggCDYyOY~VEVjxs6fhS+RXBY=10-Jj>>W^q(OotM@XcL@?G}iave7RMI7&(-LcZ71#}E!srOlyov#`01|K#n z5e4~7KWLd=SY^=PjnQIxf94Sr(`6n17zz@uO66OZ`x}1YiqD0Gwzxjc{zO`XEm;<&8H-KIL8VeK zL<>y=rT8t_-zAI6L?L8A)OZ^#0PPS{gT=z+(M_fRUGIL>Y)F9hFe?M&jy5xrieaEA zo#tmBjjBJB+d6U9FjA&=C}U<_<_!;Y1Qx!9FlGJfq*#9)AAhlgsGi1`%KSuN6LW)m zo3y4}Y~*Cq3JV_Fi$vVVk+&1r{7^y^uB9)m1gV~SI-EJ;S)g68YUq|Z{A;FE1$=^vH%1$= zRZm+jJwO--<^kDL9-a0wKy>1Zz{#}`ZN4P_O+R+aT8JlcNYyelCR$4IHvsBnzutKNMf6yehalm0 zHDP&Z5sjHWRIL&M2n1*6!1vq99*Cs0q|WFwtE}zQn7|nv{?t4utAOW;uM=<UU!o zm?kuez$O}W32J*DV;ecnMO$#_*gW#%4LsZJI>~S^JcNzBuc72dXuWWt)WR&MAp}@RjQg}19z1Rcv)kQk-+0F zhVuod$&^{oeU7kqBjsI@yVF{qu+73hQ5@xdqSSq;e$LRJN~V+ryIbvwY~SYOVD!2$ zQ``x$>4ca!;>RSL?5Rd$6bT+fflZG%K3bNXY5$~WC%5kjSG5#lQn-6Yr3&vFgTuh2 zKa9G=;sM>2r4kAHcdgnjow{!UJTO}{>#Pj0w`>5C8FX!6%j)u1t(Ubg2D#mywhLY_ z!y%1X55*O!X~pxsHJa(FA{AnqK7q8qzM$AxJ%oAC+~=%AL6O|+;cV5S363-;KR;%4 zXvhn8=k1NG#Et7Lfc-Tga^8cGEWsr_kqkxZ-kEkWI;rFEYb3(Zj>*RPKN{RGrsG#3 zqO(XCf9AN#&2~@3y0Ao)Y#Wu6It(GL@Jl5Z#~^v)y*k!Q1Tpy*Oq9)y*i`M-7y*Es)Gk@$)*F7S9q^| z9dDrf`RUo&831L%NE+Ay_MaDlLLzyhN|b*Zo_P=3k=+~q)DY3kX&Md5Ok=Toi^Y~a zw9jkHc8q*@Y|EvAW=F6wONqJUi1L%!GDu)jw1eo+3EK5Sf4}Ru0)Yvug0Ge=!v`+U z6NVp+_UnQ#MTRA*FBc@}-R}<`H}f>yUC68ck2fmtJhw~!i6xkY7IyOdr6O(v*oRnt z{A~%Dc0WTZ(`3(^ZU#|hHcj`tG+|10*iKcf@r{-$$WhQdM7^mKWoc5g!&PzD2UPJA zTqpTK{5FAoz4-sGxH<+8CCBlvCVTtac7y)tON;n~?Ko_6??KeI;R6C@31?>s^4nLJ zRu*qx|8lsEoB8!FwfpY;h72E%>V3%ny&Uz=(4SvfP;AEvdnE^S=x?;T>urg<-~+gc zMM7gpMz)UnsdxnTzi@=p`t?gd1yg{<~nLoBNB~M zba=Ehar|Qvi1=Us_VoO_TCTI6`*hdM!6+%0 zz?23$@xdm@FfpwiQ5x$CqDrkbsum~GnK-lM*IQ2SU*s{Qn*`n$zJT0fKks_8NK*qg zP^!Huz2kW4jkH6(8w}ss76U&JV!mP}^(ijsOQ2PKmL zc30iwg2nrdyVy;KTI3nl&=`bdVn52@f`TS*q((GegzgqDSaKx!VKdo&#ROaPcW?2^ zz<`Y^dM+K^xJh-=Z2(d8XSJU?ZP4cL!zLo_#8&B=~z33yJo( z1~bdkZ)sGtR5XW-=q8P`ED0nCOic757D2A{$f(D&WFh9t+!G_Du23Qbm7Iq~@lV3! zEwTIN9x*PRWOjTe!(uX<+v@4Fcw`gE#cGm4Vq;mc_MpB{%}8$A#%C1_c}x+jEGGam zn7ls)X8gsnDH2F_ShXuXRq$qhu={4a4kS3(JOh+}Dw`~e&P`y@QRi0@n*=3nS!C+n zhZ3Kd`R6GGELyqY!@K-jfNL?xVDKqQG>Qv1v4Q4v;#^K7P)Npu+zebSk+t(hCXe6e z;S}ho6+iYBYwPNmn3&Qh4jOo&;at|G{>mgeiWD806Q&d6@rQ&y3Fm>x4Y&AsKgyoR z*!z$gzO(HK8q_Qt4$n3j8};B)C2JQ$Ng+`V6MBb9JqMUfdsCOdfibB7l1B7`7h&fe z&1Csm61JjLHo<*yh^EB&7bMu7ysw_yWlCk&F%6=q5I8pm0%>+4WMnGECS<2W2~C%5 z-oX-8toC|PxBL5wu617?%|JOc4O)FuLM^;+ULuGjj5bQ6UMRT~?Ah|~z8J!nn%GUfY(9G$lo>D0HNglH!(vn ze!bY=?J z-hgWO1jusFz8?US%0OR#M~+i|43FY%5F==c#1l8ngJtNgnbyLL9J^KlWxh&x0%xDc zZGK_k()LdOUO(KRs}hq7K9WtO(kP)hu73lj$e}oA|7>`7Z)fU)4&0JdOPeuaR(hcop!#tl~B1No1W!|(B zxSMEoVc4VvG_J}&@mtmA>FYxLKg|+cu+9V#r;)eq;RK1jOuU##loWQPkIZXY{r2mC zi*^tPcn`8mfu9e!|j;iav^!)L}s6Lh;L04p0aHuu*!g#Hfd11WbrA?A*L5RYse(6s&RuH z%itHfr63r!aV6P-T2EV|uX-60_Z0#u{q#9Avqw#M-fIu3RxoT=eTltUR%9i>^mV$v zThYetv=)TA;wzAE8~>a!1ItU4V1sy!xNwSUQgF|X9Lw@e$i;J_oU;z?S+VcPyzy{qbAXyBKp{3^BpBWbJDTB*CG|Ei7ww~l?fp538-WvP!k)4 z{ny|@J%^*PQb-#ahAAP2rH8t_MnvpQVVx`sC561cTON~>a<{3UHZ-P~G%sVnp+pv& zJ!n`zF7nKoi@>!PhJPVr+Mg~L$YCrNGT(mRr=E08F^c%@__kE(t4#e`--d(9(!^)* zBPjHf%ySD>WS+g$^o?{fLu}m2?mL^N;_EH~lhEWOwxs_dPAxH-jHt=Kl==U5rao6H zb`J8e!fdZYs2|)Bvf~(_L53q?^6~l%3+16?WhRRz+%`h~$0Rm-&NwRxqu*pW7*V6i z;1Su4HpbjBNFb5m;X6`Pyk1n?otW|G0HJ`V*CE1PTZcw5QA&eSIrgOFe|tke&pSAA zYuCOPQoFdYh`-sd=jGpwnS?=9CER!wNTewNui%m65#7oh&ssd0O-fi8453d)v% z@u|dOW{u9Y&5?+X^RR$D&$NXlPSf$T_bEwSFrhVO{6+V$Fqm^e=oMia3+!+}R$^{$ zNh)w$e?9@pLMQWOJ+GUsx6g0Dw@WB8&wXlzNUu%OVkk4u*;th;`7$t?$uw8>?mSX2 zE;8yVMRNDup*bFp0YNJ@x&pQ{v$m30k-Pg0-r=UqC3(Slk^{{FV3N^qL~IM zUoggnQnGk=)e5cG)P`c{j>B18+KRu+NeSMZnVV1L8t03Tq7Ip%?xHCF#!1HaUztk0 zDXU;Ds8|xbhx^|loyzZ2TK(6IC5V@Rn*3l;MS1Zkjw$J(aM!sa7tAd9A0pcTMgk@5 z6JCj)!Lk*k7F5s~%pJxeI4Zffuoza%(DzRDk=`Ar*)B>{gIyDgUtcoFN{g)*w8TVY zf=6J;L8{c|_@F8b9L~aHl22jLha#K-)1Oh{<<`S4z9*lZo3-}qi#C*Gz~s+0t_pWn z6^FeyS2MsXz(ouLH%29J-l_)wcX935U34mktitrG`tE(wv{kELir89G>DR2;kk z;(43!m&%3kekIPg!gX3|)d(D5fJ=wU$iy@=Jqp z1kc}Tj6laV&0rmI9>Z?yh6z1*Gq|)!6l_)PI^p%Dbc?Ja+}|fBjbl$qEt*B@IIbk1 z53~A=E!deCdOQiF#*dDgYz(eAsAWX#ss63p$&BYR!$$A*8@Sc`4}Qh}U6GI-T1NKs z>(4`XCw)R5wgrzQzD2>2Fnm0`%D27$Eq(XQSU&Xr7yff;)*Y+ik%E`JQ{3c3l3!tX zB3{3kvyo)Z+>RW!*XT+9g-I-yA#RAm+Q?e*r>Ca_40mfhf+%?5UQ!hcr&&uvQRYH! z$f-g8Tdsm{u*i|5cY5~dVqn5BSJL)xzY+UfGE9P~OtNNHJ(^Qn(OOA|IlbQ9<4->A z*Z)bRms$fw42J?rMH|PgU?{+#p%e@B&+{STgq<>gATJhsD3rUm#p*`nGLq(qe|}RW zn({=nd9fx+x2tNRF)A7Y^`+)^XW`=RByEgIRp_@x@P~1k;?&jF<_Y*!vOWvGMSRv9 z)P0@^z6<`dh$WU6Wtwp83w~b;!m|k@oqlRf0b^iu*^-OBwt1#ah^n%go-q!HI5m5+ z3Xf02g9dxbKx5e2sazS^I@0?sG(27?U^9x+RuNDh3j-p(oM*em)$b3XQcSWI=RFgS z+)+Zr)|`gmz4)k8(8n?iBwk!Kw_~e?5xhRC!Wy2y^Hui?UFRSRBgXx7BF_46NEBrb zle{AaUy;t|vmi&TJ;ix5XDCXZm7n4695MBn!3lFZ-T&^-l*xd$Fxrm%X6q8eRTuhy zB%NhgRPWb?hmek;B&8dqk?!s;rMnyH?hc1WhDJb2K)M@ANs;c78am(e`@i#j=EJ$> zJkQ#Dt$pugmYk`5stAC6TG(@x|G)F^Z9b+o8>^BWoJ@< z_XC%g)R-u?JY(^=CYJHj-HPapNGZ|q%D1Jzgp%sR!DDL!{hM|AtURw%?yb^MCgb`9 zO!hw83>;nj`r8=kS!p!HNpu|84-P|knp@=7#yw>`1x>f{P?_JZhonL&PAFdm0rmm!yfJUx|2VS55+H>-ZsgbGW4A`EtJ4a4) zB7>;1ZkY{5=l+a$jqbHvB2UVNFt0UcxN5Lcb9r0@gO_}hUX!@JsKnSF60K7KLvC%Y zTstV|(kOx3Fvay^gbk7H&TPhke(yZOw_2O8jNkHwDU zaEW$cbv}64@We%XTapKwNB8(A6fRr!{A3Hbp$v+m^yxO0*-jNJZNud4>JM#oS7%;7 zGjok+F1OxY(KW1?*H1ge8>TNaXx1DP^V*RB1e(u6R`QPai2hYo;@qT1fhSb5zooRX zYH4K^R8ZcCbo3q1qrMDN-e!ZprvF%k&WItSn>Ajb>hmb`%v6^gq%f3B&UdJp7QO_r zq8#ibmgK&z_36(urks=aa*Bx}VhG>wOysG&{ zcgfv{&oxbbkubONZY94jXIA)QT5i&hx0`}NB@cP=tfg0g`+4nG{q^aw`!#y7$cPn* zyYCrgYvvmoS@0}+fZLJjHzLCGU@RSTa^FQ@xm(48@Z8je;$6;g95O?T8 z)N5oP30=dDdb=>ziW6|{-g(3W8eQ#0_D;}PS6%@M#!yD;iA|dc4kQkAhCsn{s&sv- zjX7@*z@Xya11bjJcqoI4Z}=z4iBGR7jUyjJKTzk+OO+n!2F@kt)(a!6Gz(X1m=)o2 zD(Z`i@26kAuzrDbWO4=YS>Rr#p$q#mg$H%@YY=~=BHu6M4zn(bJyjL1PXr3ITAvw;_LyZyQ$PfYXWO%`QRO(0D`x5o@9t3 z#7X<+c-|wMc5-sd>NvoKSZ4gqbk5PP4%s}ReN{D+PYPw&qS*&KTZ~0&fN$ng#*@_G zxMfQdff)CF+4MdbIqC^&?K3QtrwFo%yI1HFk%lXdm8JdZ%UirEiTRXGDB)}D+-Dpn z9m*#ey#QnC%kO^j@-pSrkTM?IgPSwA-Zv|nM`b(wt4J3`ew3!LOtUMugY#jV;_`PV zL|hCqlOUxM{@@-An?5i@EP1jl9CzNb`HJJYcU?u*3yt`%D!|KKmA(8Sm^xlFY9>dM z&+#ra3g?hK#)nB^`qy={R*JB`@FCa{e(6{wJZ`yj*5wc0CKw|%8}`U2#9m&IjEM2 ziFYr0>T))o4f=lMWD1^YrZ<4AQkwI%YVkXM6}Il{6(i=LFdN2hwjAq$dFxjNTLctnSr%@^|*p@8)V`aXTBfFQ#DGmTR~3+L^ZHeeh!EE>QD}duV^p<3TPC5#i)0AtYq-T`wkctxBr)t% za-4mqXtoI@OIbg_<*zOw9PS{()oy-Cepqg)VUPmx#rAovbRkxYc>EnT5ln6H2yZo5 zaV%9ZoFnt*v2)VK5t7U~x$iNNLq|>WN>gGmu`I&2q|!s8-Qc27fsf;NTjo(Zm0uiU zDc+9>hjpbmTBZCdMwsz?@E5%bqs2MpdSgc%YgyMy!pQr}$dqKty(h%bpGuJ@n5a}I zpM~aXy|$DBQ7V&?TWf;8GA~qQq{4AKeyd}Ob=geKIIGiBZvHv)1sN}V6TmH`+LV%E zUcu$SAM#4Ieu-EIs6YI?Dc;FKqe0$trjo!ldmaHvOV^|)_oadJNtt*JIbmu)R}q=l zmG$}a%?Pr;iRK%qNx(RuHya#bJQfwIm7nbfyyyG1 z<(N81TK?C==Dn-H+IWy8D`Id*9ID7a6bG#31;-Dc*fL{c#4*86-_H;#g8NHj?)IVj zA?7}%_{d$AvGi>;Odb(n=`~dWoYwz+d@pxKotvew)OpkArMtVjf-ZLyP~iNp03pN1 z#@2|t2miH^3{2tPgE4+0eSw-HL)magk0tB#_MB|THv)=Ar+GD)aEgupVC$pxx~MN| zT%gp*t|dks2-`T_4{sQEP)PAtmrA2N#iE4RQJ=vvu3TYMy8LYjT4IP$c--goLcd$34cKD}~82c9mmwWkxIRE29iEg zI=ExX-@yCK}LZ5z@>qw@zD%7haHdn5c9AgRp(C?RQ)$eb9V zy^K(z8s-od)Ezy> zBLRysN&9ZXNg@w7&?z$vFM!=6zkC1`Xj*2ihW0uCcHJvJfc$xM)}^w35ckw{u~Gbs z=U*vgBmlc@yx7NoTXc($;(#|DhRH6YOq-TZ8>`czSe;x-EPR{%bxOa@?#cV zNH5E1DcN-X0GF$(%jfJg8d!^l4`YvaR1X~jK8ytcy#_i+;*Bai$zF7dwEgxCkJ*XU z1N*?Cq^-ET=)o(=Io=O~!apA~f0e$J+$RO2>CB7^g<^<}NTsjG<&7_HPMZG64%$*$ zjhk<|ES&V2v$E&lc9QneCB5XWdxWk>n!Hbsk}kj(*EDzTUfzrTl|YJcOr_M*IJq8{ z&i=6%T6xuqu(ym+U?OF45(>rb_4@~eEU1vDb3FXVd2bgwk`60<*KxS|kN<=oSH$sh zpOm>U-blQE#Q}^RE!sT~U4fvc$#~}4^43cET^Etc|K#$Y+N8|#UYe=f~{KjTqe6cElB|vCqcGIm&UjT&thK1=msQtpH zH#AdX{Epkt)CIGaqb|kowv}T>Iz#hFD{T1m-z2y7IV7z}*$7R2wG}7^tWx0Gvo=jV z5({SiwDF|2Z+tzJMm|(i>+Qv_sQJqwXSQlqh?;d)DqVFRbUK z!?fo~_n(fcc@WhukAslJ{pCeSQ`~XN+31_u&D&Tz`ao{sV!??fa;3VPqJm}I8^6mY zdivQ@qlwYfm@54VZWwE_rQs3z$ThomMns2~ZmXbSG1G?7D4H#v~_UEw4B?`xRnwfB*Qc05T2(ny^#Q8rAcnP+3viPx^w&f0Pz?zKE92 zoj%!}mmPSN1b$?NyP#yR1a!X|{Vt7BvZAT&S8EbR8^Mo9>yk2ye3Q8A~vwgOGAVVv*FeXO+4R(&)#!gsRycH$eU8Kzqxl$St z418YjNYF;jkF{HicrQ@#SqE+cL_~Q^SU^(F*WH&Yfy&Acw<6HfmH2K^%@ii{bQhmH z9`vyYmwS0WS@a5(Ll@(yj36X-O}&6u`YrZaeFg zYE7VN+k^;$m&LM=VjBiu{Q5ykK$bMACj*nld&WnT;9&TZpm#t0v)Z{h7`Ry%uggFf z7Qnf__%3<4p`if+klk@92jmiz@VmKe7tmef=D>xUTQkl6EDM(6BE>RpX~Pg6^<*3b z9!_9o`CVo|zDD&Jr!>-~TBz!K=>UA%eCH9_=MMk7=d@w!d2{mVtUem-2Qgqw*=T)| z#u_FTS1;$g@^NF7L;H8fqI|vjmj4PylUAptkLxs;t!_6nc{t8<$BMULj>Cw0d+cd| zD10W&nJ!GWe|zIyKTYAds_`zb<=LjX-2+4yuJ?ULW$}XhC9+0tBYgh6Zk# zClMzn3<1ele-?ugbNN;(4EZ8g<2eLOM1{;Be-YAQ4=>KmkEz_&MN_dDKK}j$a~FA< ze*Gr#gGIl}UuzZ}c8jn55=V){A~?=2W3|T&zR$^6Hvg?&JT4jqOQN)yQBG?}lacoa z4ELes#k^Yizu@8hatT8)ctX4i`U}=j|z9UY1 zdvfc)T8Pi3ukHISC~;6tl;ArWtFR!dchBy8c_lFQS1H#Jmv~;txlA5`*~E3lU_7Qh z=smvw_EtqBD;@omRQTUtE)B*#oPK=C2Gx=ML@&F6{t&o7v&akEy*q>zL0h8b^?Rwk zXdO`4H#9|+Yxbxlqva=p4jAV&E+QJ@rD9Jo@_~yrzP)@Y@swVxY`3*=G24ER~=I^ zq>ETxj6?_UWh7_BmizlZUSItNB`3F%H!R3v`*0C0=J)G9Vvro^p~rD&m$(agp};A$ z8(eHtr>Ayx#H2D_bf>7j`7wIj5KHgZUGhcg71=+kW2w};rly9SZBj=rzGT(8{qH}S zos$#gOcY!J_~c<4>R>-bxA4vv!N2ud>aPR!M0KOtyq4nLSRFH;T&O|GCGB5k7%1B{L~`5bcTah%sigHTF>+e&^ZpNqXsoea{jfCK_&U0 z;NHeNtk-07AQ_Xk9=TOQ{K`LyM^(dXiQ8L;1k=u$UtNdkWse`{u01HKgUG9-sRXSn zLgj{B<-A;pVvZXy-_5chw5kgUmd$dMspkiIbrKiDpV?-`>w&UnXwNDvNDImtrTa&| zj~Qgik6!N0a{Dq4dI#JyucCK~{U>lZ%&6WLDn?#@QaE&oj%96<(Ns34DSz@}#_q-+ zMv@f7b@SgNXp9co_QNB=kqp(t1x6Z!-dqwhJ|OS2T!YWny- z^OrPf0L_~ZC5+N#*iiek%UMTf;*3_s1 zT>$RN@k3gwpPG<&uWcJ9h^Q|FRrfbjDc}YG=|lx2>a;()0)*;FC!_ZI_HAFz>f)?y zsoCOVAk@D`6s$F`rSBH*-NLyeB0%}(>u4k@mNJNvj^lTMYt(~VrDy&|Q_|5ms-1uT zono;EArdE=o^Jag5@q{Uid}3lat`pk_Y1JD+& z$=xmB{HA${tk0!t9NLhDSvRU6D`y|6k(+Y(_HxZ_83jFz{MTrc%bHC!ANF5%Cbj=H zAza$ib|TL~h9aCeEC6F;#39=kB=}0IJ9k;>z4;n{A7hSqZ@Vc!b06Ig_cyqS+!T`k z0ka&^sNq9#!M0VDd)291MPMuuo>X`2*1g^!Y&A_GDW18}Gh1_mkD55uiz`>bgiYd4 z0W&X(6{fQ~P6%ATG(st~+qzgPg#gX@+S*#Euy3P2YtxQG^ zMU-*wPuZ;+*1iZ#=EMq~5{WN*#S9tH0+yqIYLy&05rE5E`gw&DFrw7Hcfv%e@5OSaZzt?}xZ|kaw9#&$+o&XF^;Qk?-+7zj-(tp{RLS zl^aSyo)t6CfA?^B8YxB(OPAV+i59L*mlDD!q$%S53iL%Nf0K3u#04(`#?mXMM_&Kiu!hqC{6jk@#d#yExMG zzLW-!#^t9toLU5!hn5M_-X22UVj*0&bi_9!eU_T>i`$p`*e^A3v9v}g3M`cZp)ED` ze*WpS;VBnrF-yZ^$VmN1JGkEAjS%%oZoi|8Z#)t@1@ z%7eUzi3`D6ri|(QBk*I?l}AJDg!9MbK_MaH_aahAyRK@8m(}8)pe~eHt;P{ey|M4T zno5^3k8zJw8Go#MK50L*i+vsE$PuejxBf=Dy$buSuUIlDR$n_jw*j{z-|kJ!sg>N@ z9Ycy+&Bx^US;>Pmg34vJA;Dl9yr-GoMw6WgES{RVCV zY6+dXO}5gzh1@o7Y;5!AcA37zv0gn@lq=Nw~O>nf8H5`>I41&UPqK%Z;mVi5XU-1G%pJDlt zic)2p76j|vb!?>)5C5k+qKQv|G~~_V`J$?i8i8X^XbU~IDD}8Q!&!pD6Hmvmx(4ID z+e_WVxvnM(kst>#{FihUymHz9W^oY7O*2~yvlI+_1dIHLc(x_n*n;W89ZGljux*I1 z&?7Nv-Lq-pKh!GO-tr(C%&!4OZ)Ma(&k)j&5)&N|90;T!EusAu%`Y=(K#8wg6<1Q- zf@Y^7B@!eJjnaur|FKYi8Jz+9w-4tfCgTf zau#z0nN|g`lG+@L9Mal`NgQISqNzB^h$V2voTKD1zn|-PwCcN^H zvZs84?4+g9h3K7x4?xVWC z5|1(qC5$Twm;puc7aHzO(@(?h(em8j<7(AElc_3+G6j&~wsvy0_;vzN`Z$wfh?P2L$YC9*7 zMIH;r!j6h^9s@m8yck4^uHYqqi>ll@mIkjQ)KYa=HO9hSd|w?e-_L#cCpjT`emmia zYSs0X`F@h2xdbT@0e{lps0G@kheVVmYXFT}hRfWd7rT=`xWjRyh$lAaKZh51X$9pB zy*m1zzYZ~P?2SWuY_m{A#4hIr=#vP2%tOYP=K>2yL3aZKt(%-$rFjKN56FshrQ_J3 zoXaw@(JEw93#x_R_Psu~Gv~}$mD0ojC7m7I< z7H7{9W}~~#QoWOh@yvufgw0!;kK0zA7kPkSVeW+N6cW<+;ieXuWN}rJyv30!C{?a3 zxM>!xM_MfMLoP+-t&|Tb3odP}JhaB9q3n2};g8|I|Kh)guCqtyRztGnoY+gs-{o_> z69JvZw*uV^RgIbKCZCO>V<-vW)0&#t-gw^6G1n;+%_G!C$#E1h;jLmxG9|-X4S*oE zyr5!`8aElI`czfGP2u^m&uuyGMuFtheL&Z$b7TRqFm#qxLC_EId*1x;qXy+C4HtJ6 z)L__#P=EeR{BZmFvaWZAJ@en9@VD%?U16`(d;J$JZk#V3Pg0NcvNdvOKH3aC6wXd< z4>_7eu!~FUocl}RRE}YOe#{0ek^ymhXX=z~vFW4G8M$e$05Y%xTk*QvzxU(Pz3!n; zr%$KfCWP~U7){9c48w1hhLB0#n381d^zP6}+j?N2oJRl7-w}PpCd_mDwOchi{zZ;I zUvgrMm-o)04BJT$@Y{g3$!Yb6fB2w`&l#1Lx&&nKEWj#bG|`#2d=>A%ywP0Kr;|2g z^3@;tn>ePkUvU|p|0R#-%PP`xeSQ+W`mBtSq>wxQ7cUWk*#XNU}}mD|vDWmu|Ed8H^(3`)@EM;r-eK5i|ZJB3#x#Hy*M^i zK-MFM)^JBFMc{V&Tdeu*Y}2l$!=rbj^6%A*4=~}L)ntGx#yx^K8ASuHh9=vi;0?_? zhHS+tIN>c>!!imfAIDeU8ilN4=o`SB;vhrKIGv|a+WseO+`F08OfOGvwvPH|!RvUvCKky!)2iscf3<`k_ z(|?w$6#V%euZTiwj@#KvAZ%=tUP|I98o*xm*UjjC74Aje(4S6!e@2qX24P!?ugZjv z8)2BOH!8-;Wg%0UMf3y`goZZssB9dkbiM@1Kz75`$MdJhN?K6BL2rU^m@M3<)oQ-H z2^%9rK_;v2k*{+4v>N(#q$0M5Dm}U_%@qwywHj5a!f7IkL1PhRKCkQ3Q;Os|u}E>W zruH-%aH}op`)?P#3$9-5;q7d2ElXtuPM{wlf>L~h5)s^kH5ON(h=k$1E zSCvT4iv{&cEG>#Z%OBJ{Jv^2~(X1mz)Wu&UtMvcE9{WhQ_0B?TWl#);Bjf`oGKu# zUT>beFNgHqPm8>FH%u-W)8u6xh;e02q~LC+zgs7%U1y8OO=z;CT?7r2_o#N?5au7B z3Zutz<8iELdEgCAOJ39wK5ah}Q|p>#sY)L8UpYz7F)Y*nO3(Ga`gL-*Ej1DP$*igU6AN)p zOWv9K)wA0N>TfF2J|2?esBh0t^<_EWA(@7i%eF3%S=oT<@ZmR4c$S{4;S0Rl1D1_tkd==5^Bh~fE=0$91g4@ILLGF@b zdXDVH@v}7*tO>oGp=&|%O4OiZV0cxLCcEiz1y@(OYT4nzE@+tBd@pnl<_1$bab3Tf z+VNQKzcH^6V~iw0;sO?w!4ev4i-KPS_ri{O0?#oEl_{kMowA`VsIP2gxIw$(N$=^l z$2QaUtR`$@`iBb};V^RKX6K;^zCB|ks~qU?f!T^N>%W5AwaF8Q1NW%r?b|OgDA@X^ zhPc2e6gUZvC%)?$#5MY5lze6A^c>hhj08Mx6HS+f@8$Wej*aUaw=koZWDj$f^ZSy5~d z#&sZ}BnEC;36Ugw5sYVO`c|RVq$}Y0>d=C!FjW&kK2e=aO|nH$pVBtuBAtXTYWp43 zgHZ6oF0F?de9(^FB@_A`N6ZjXG%!fU8w_LRgqem}a+>61^(s~_V}zvK_)iMe@Ka*f zDt}qDuU0DSy1b#SX0rqKR!xA%W|m@nl$j>>VaXIy2cbBx+4dWcY+hx!uI0ajIKodJ zLt;0Ddgk4w=IQUsW~u>ff1t&L&c8~ggi&mS-^$uA>mBZD{>Kw6;tduu%T-jmYEN5b zMlebTzE_R&s^w;T)T}qJ;Q7t>K-qKiN#hSM3 zMkULp)s;~qX(f>f9xnaMe}P{r#ZoKmKR6@9sXA!?Y z+r&%$Fx9z^eG*=7s|jTI2s!gud(OHgIjRNv6tZ;8=6kSKX4OIB5e0ZXWMNmTh@VcR zf+k=k3ab4VEof;zV**yOYJZU#M2$~P zp}8u77_rj1Qf#4U4Bjc^t?fp+_AQ3S_ z3t65u)iv-97^ooS= zM_<^EQU04ZuU`U=pbhud2zC`kvyxYucR$p}XjYX7VKcFkxCRZuTjC)Q1X7L!dXltZ zWEadkqhqE?|1eFB0 z_SG(*3-eCn?GO%S$F(*Z;>;{YlKvOjIuIL7Fx*YyJd#Qa8=Xxa$#}PaLOz<=eZP06 zLfJaSJ?s@S^*SVk^y4l6m+}Iki|51;7w8Wb6b%TN&KUtv7Sb@hq@3T zW~=W;JTHnZM;w<@-04Rcf35hvT88#of&$F#4=|Xh-q0Yh*gjF7hIni=N$OaOVOIU7 zhi(pzGnKCNW;A6r+_*=Yiq)8)C@8&^mG2#0HhPZdaN)UQ*s*{ErZEe6(d5atW6utk z-i>}DEKoGCw1pGTke-R?h|i3qiGX+aD>(_}a8H>hMgIYmdSHmAh;qOTn+$CfCH1<= zGg$fo@*vs-`?I+ed&Lx4qeQ*=;FtNsd*kvF_fJG^ZFBsfdDF*tSO5bar~|XTT``AA zCD-V-9S7#j2*GXT!hJ*B@x0+LaFivU!9ME|;2m>)7qX)mGmeYi*x!#ixzu6L(+?WGw%~* zy)rfl0w5jW77Ai8ciNtc$mIvCJFTeSA5t#cIkNZeB#hfb5PKLSakn0Iodeek`KmLn zf|H&+e;k+qnT(Q{dx^6v$XL#{G+cY3WQYWnoIV>7mgTeyel_l=n`It`r`RT=!J#+Q zf1u?pCer*2$r+10PibD&Q4cXOu{(BuGfeWl6x1H~;r~4hbNuL$`HG@pIx+D!-hg57 z;E-mBA&yVPN)&nkE22#Mk)Hd|f3Y;V4>M3!$d=Fe<>TemWL)cIURD2260jQLta|+d z%)Ox=IMfkpimwLL$x_Vy7(`e8jf5i~INV2tx7y2!SYLVW z3vf+xaVAeFr!5s9s)m$ls+RmZfr8Fn;5^90h{9HMi;0?i76X+td}Gi|Xo0;@I(n;% zi%)M*XZ~_tOoid>GUui1@V%11)_V&TCbMtcU@~1OGrt_b2GiHF1M8PF)s_?_ZNgwVqoJd|eA?R@%CWD#rpm z3zK($Z9iO50ssFzM7XhNvTAY^vv9r?dud zvl=wD!_fAFEbG4!TJQISg*k_JY`NU$3xL^G4&0vK_Vbh^R6C`pp4jApH#cy>1=x~R zh)i^=c{aFs6^mfH(!Dj5{x}anAc@-Hr~Ebx#^8K<;G5D?*pA~dqA^JrqqQLlQ*Bx~ym64NC`OOHTAyFhIqJ=(^H-zZ6e;w{MECn3TMh$J^ zqP2v={<%_2lZBJNHQ^vX*J74J4-vk5?^R8-xv@1^r=IL*x+CLbIrD+bf@nMrHt%1M{)P#r&eDq^a(`PGPkL! zcPTSHRN;FQ{%*%F?+^@__WX%W69=2+D})lzDbvf6?geQ~R1|6ZpH78NSa_h;-#YAW zztWex9RF`@Ig*mTM<5^tnWa*`mpP%&faVe>UtJZ<7pmT#R*(FUcaz^foIs*zV#Jtu zEzfjACxy7vt;EFSDgGPdZs@9F-oDi7Fh|@~S7=Q>JQAO!4vzBA@eo&x0NzH|)TfAf zlcEK}ZvG4uQ^yTAaH68(`)+z@xeO_g8@e>ZvJcr!_ zGdLzDCROFZ_4+X*ySrBFx5*S@3%T-@U))PVCxglUP-O$5B}#tpcLPb_9GffbSj00~ zR+?jsxto?hS!85`(XXvY;qvgrPcab@0aCusl2-8LG9RmTnHX+n5Qpmk=S>EhOgE%! z;l(G88^n)>H5}1C2Y%)UN8#HTg_cSdDTERwWnFt?DeGmw!`dG+WBW%2{ ziWIimOZRghO~rC11(VWQ7_(rXt=Af5_lDeB8DfdI>MB@ieubTJdoq-V70jrnTGI>3 zymTn4+M{vDp4b+a7E8i;A`CvmxbFI&Fcp3<%-Rl-|5LDV}qmBn-H0cMfB#P?PF3r#*U{IzsA3^4>x$t2)D&vY|8@7sq~>;H?evz`mAPIB~?tMd1me=|;n0 zVvenLxEV_x2WKD&=Mymok+Dx!Z&z2X$9zS1lss3*77^unKU_|291*-#R<(WpzxYd} zb}LD(7@_(2U%^PKR3o8LkWiLf8vP*M1ekq*&XVemMnLl&tXyX2NB3i+j0 z5drw(V_psAP>UfOcC^&rpTIWyPUC(!#Njdj9Jn)a@?UF_`Z_wj&+lTzCgeYX5BHKF zlkU!|rnOW)?~Bb>I!KZUUigY_$|%+;j>uv0zDyONMqOX>oGikUeD;cEy6o<>ZQVkK z$#$#QKLtuKdd}t%Yc}}w(QG_gY=mYz2AyW>;qiI71m^w1Cg2wPD$0=sw6H1jJ`VDy z_tN>#6z~>4g?)mHrYfwARHAqP$nX)|1Lf*bmAyv#Sb<$?NAA&vfQSd1$>Kk97ll?) z&lP)MMI%sW;$vpnty$2}U2M2n#DTW> zrwNG!Q)eS>;FnQTG&R47|2L8~KR>T_e|4s~m%FAo-&x zh&35Sd{l{1AXvuSveS%kwiTu(UIKQ zFNJF#Lh9iai`U^^8;dd_73@i_B1jv_-$zKb)R{OH-17xlB@(Mohny?|tP?*iX-&l= zZXmmxNB$`_f_?_(E;q`E4SV~&ZswmhTLOniWg)!!@15CHn}+O4C#q3fS@)t?)r`46 z(6!SQ0u40*x(lEdczibYMxfDS|JkRsP~4U*mP)b8Xh%0NQlGH(EYRaSl7~>yH#jZw z)+9hqaTw7%T*AziF#;;1AZjSQw^JBpdUWNfS@@F+I_33Fyz_mOq&!<>8V9>|*I6JRLWtjD7>yId#woWM zkdU^l!=NBmWB5(9Q>W|RBPHUho^di7zPmm(3^B!dgG9kI^bc9jCpKb_bAfl?5AR|7 z)M1pwXEjl(X&4^&SaO92<5I@;Juobwak> z_}}2H+S17oKLgw}qa*R}d7&miGxr)U-AXh;eVYh)^yg z3WYzM*)vZO6^8}U-k?&kX8u}rCcLctzDE|%IcW`ptd;lzd#?mhQsSt?!f|AFps%pt z7gbncoRRDZ0%5=y^Eru}YL_^{bF!F~I^}~vL{CYSTp-K5{a|8TIJbJIiH{dllII#}U{V6NUQ!S-*duAMLE- z?E(>7R!X6F#z?pq$d?2;sKiJKa2_@&JDi$3$)t+d<(Yc#*BzjEgGyg`T zmWg_l5@J1hRhopdKWSfim_|f>6ma{`)TF$=4dEjiMB5CKU6Z6VCj5F)t|0Vo58#7zsYa;R5_X-YZrlpFJKx2og1TOLpEOh z)Pj%r5;rVyvPlU$3{Y~nTe|jJcc;X}3v9?K zu3`_JIqZY3@OcJTK@Y=++xpbqC+zX!;j z19^h?2$KnBTxr$J2N;edOiZQsJilx1HOo}BMo~n!vH7m5Du!=+h5O_M`CIJH>(2^5 zZZK|NG}aE7dYcdpn)c=p?xS(~6|DWk9f}NoH`lX12>C90YQh0nH2%cn=Q(mdPxn@C zUxKY3dp)@@^`kU{yhD&H0;f}B_f25`qliS-L6vQBQUa~NmwMV)F3cg{cQBu{%rEyu zi0=Xn6aQu@v)qs(s8Ba+mD4zy%{Vldft z^}OmUCPE%CTq0(Bi3Y@V>!8Mp)yY5aOzG2m>MUuM#Au)ARsneyz!NA+bMmJFNZWLa zl3@YSo4o;B3Nf4%xE}!xA2sdBa4~yX>BC2()Qy@5X7^LETv&I;0*{bDLhn1&>K|5WI;8=5X&|umUcEq6z;3x?2M}6Nm7b}6IM?R!|6F= z>cVi;_Te0ij-cZLYOy{hw!`zMMs->mEeGEv7L9^zHkunJ!D47CZHQBxp zLk+%Q4@W*K)@C;s-tZTzG7`SUHMk$bjCwoxk9^@lga3D#AnWVIzK04$4aq6c(FgKw z)R87T?~@lY|&8RDddA!GQ7(x!24ORAO_OMktgcu0|8M=(H7z(=AZtmC96#VoO46488Niy7OH z45H<4nR<}4)r1qxsl4mu0bNN=$ftyAwcWiQy?KeCH%I944nY?mF6^*drnJ+}vVEgG zMu#=KdE}r-ydJ68V&sL%L0W`rEW%BZ+KDTxm^FD`>%-oejWQ6QdvA!a&J%oDCod43 zb^1makgQr%+n1=suKskxJ$jvUnp~v(VB7QwROcBOLQaTZKaFi_D|~WY+x$6s(*2CQ z!L^Is{ydTVpV?YLwcW57)=VW{?CJhN^WIo*62aX}9iav*)^J~aPKJ-5bj{O-CrLwf zN+{XRng87pp30R5BjQXfMc4pQTMf2^0Zk08Wzosw%Y2m{Py#36Gaz97=0LhO*Z^S? zpqS1>IP0gw#3{dsj~z(7rO`ZcWPiq3cf$nK)J9mdIuu2i#x|)wCgp%56mbg-`Xx(u zTA5POKMX3a7A;5e0~l-ZgzVDNdfKKz0nA**ez$!uqzbX4cYw|>u{UEP$UEzo$72jh z7Scu#vobwZ7n^8!(q`rqMEIlLe~M(bt)^~bT_#EVm3c`qbL4JEOob)C5`k#U;@4eO zJ^ZfMrFzc#$JkA)JvV2Tbfj1cojKiS#upr|-y?BHD%^NacL~Z3_9ErVfD?m@=t2xj zc)_=g#cZI6pX9*J3SL4TZktdu>>6c$KNE$xVpH3lW+Djw9jUKCh@PACWG^8#{&Tv}Scr%XI|3YttIEF?|2gCOhLte5%pQ$DXCv3Pa+JTTPAro=8|W zylK6E>F99&w>PEc;QOTOEkGmwaS49>3ncC5?E&1QNv9tj!qS%1>?&!e5V_xCPVmZh zmLs{`5A)7>q>Z1-I*t)OV3TU_^q=rEssvj~(ai5*J`1*tloJllvL3a;e@ z(N6*cU_gWUnm4p0zcjd-Id(-&-|(WMV%a1B|d)JmDUa zKv66V!{Sl4L<~-5Xp_IrEP80jh9RvXMgo}!BS%R#f73r2(8bn^%rqu~+*9O^sS;1& zC-^!g{dZ&l!lIb0p6y~@&*b^MAN#*F>m4a5OJ8oKG=Shd8%@Qxp{DQJG_MrVrprB_ zXnuJ>f{(Gq{(N6OGGU{Tzf!%+9)Sb0KiQyT%F)@4sytQ0qJ^<&o&J}RADETeoan&i0spW|GT6f3{1g!{_~6Uux$yE{jXgwB?9_$ZUjzjx%OHZx-~t z|BMv|`Y*S$Q$8HOs|hO-9*5`ny!^69zW3e8vU;2p(8jya@ap$%5okL`f`NUMe}DS% z=&#@UA=-`m`cn@+5$%IBL@p%tsAEpi zpce%KJO{cu5Z?~Xy7JV7d|Ai#AZwP#|B-YSj�#7+1qg$8@)u&gmFty1U!-hdIW60T%8L+V_i>Q zbm-BM5Q0?4d1X&f^tw^;Az%IdJ62AB=pchvB*C%Rrqvt+O-40y<-2G(%DcCoN`55#%Acx)02QrSs_a8eP^bJerXa^qKigm)4wgwY!Oso_^PwE{v%G5u+{KphO zU44h;RR%86k(Q7D(*GEJAN8p6alYd(b(0fS_98h$BSjnucNd)f6Hm1O(Nt!SNVa-V zavOL&Ewk6FjkBvIA+uC;GhoN_E-zgS=`@5~xIT2oi~E`Ld*ZXpDzV!*$!a8mnEsRR zIYD&huzyF~oZIFVa9Grt8M0(=9fOg~K!8P=*u%@1EDi?5mA zol(q2Q44dgiy1TaXK^M#I~;$o5$s`^nSe}6mo2j~Tg2z9Xl8p9pFx$D34dRWltQgZ z5X9`hT6lsP1vMFsBa+BvC7(_QeS#?L zgQ&Np>hc+O$HU(lIb{rgL+Q3Tzt8<_0!fLuQW9h=JEoM*KS)J!d8=`zV`i3wmy@53 zVOtSI@J5J>6*`36Uwl{9?AWd{)_t~kl1bR#e%dz7*UKIcRgbckwT>r^@q`tA^ZRqoK5mW_AHnz?2u9C+Nkp#lbqpy@1!v>>M5qwkakoXr#KqF$HI<{Ja*HTXbOIFJMk*t~SWiWqKY}V& zJbrMFhby!FPjUGZ!gCdceO!01i$8;$a;AA-EGC5En||C7mzUwtXjct4(!1$I31C)| zhwj{Yfr=U=ID~PE_1&01();oIOIZ&Zb0+cUgWHlu2f%3nw59x+JoC>~_# z7rX%(EF3MG1zN?9H>7c%GW)bz?xDHV{(x|oLgbOqV(zqcF}2xGcq)|(hV|QW6$((O ze^Rbv5B9i(ah5DfY2K%ZSt@77_Fu5p{BX`4&ob58nKow#&h8?jO`)Q=d-lAR47X;# z`!jaV5?MZBdZj4qFTx8npUMhpcQSt>^{cFGMn8|Kh&6>%NWSw~e;lf)X7vxXzm4N! z46P)mJpr9O8l^Ux#{y&V-!MBUfN}Bnr!e<@e&9t&0?zotpT{;qqU_MpO^qU-45BIY z54*4YXig@WF})Mv<%#Nu-T)eqQ}SAtdDiw3v&F?lJKLC0kcL@Nhw_R8VX$z(%gOlo z&7}YB8;+KTmlVIBn!C;dUC9wEq&pjnfxd~ZE;FND+llGW^|lNNEHH~4%PF$mt{q0k zhMAhYo>UMfe4t<`H=fu2b^HK=%Qmvbvae{s_5SqD%?+?#5`oj!*7kfHItway(tf2+ zn{WkVmFthY`rDdB_QFRmYeFn$*1@cOI*NW^X^@tyfFUE6kzr}_Dp1N#cy${^buAXL z(E9}_0G8nv^2uDp77z-WkcIo*GyVjR;7oM2-&Bq`qz_Rd3g7p78;3yE%2&so!)C(E zCfL}H#ftMUjFtbH+UbTASii*GL`P`X6=l`Mn$hcTSP`?Sh(3yM>ql7*kQxuj@rzQw zn-SKhkHPL8Oi!hG7bL^4ndD^@BU^oN%uzr|cjRCelS(CIzP zSqi9(ga?HaT)e4^ZPm0@_Xlq zy&SQ!@S$eD4vOGFaM83h#WG3TL~K|4ygX#-l6)%p3xO9Ten^}fQ)clqadoVj7tTWG z{k$_13RfQ8I~#TyB77HXoy%*>YHG*$!9G+ngP)}r+*wCFH?St==iz_ouoy{Hxe<7_ z9XB4`KOB0zSEQJH+?LJgi$5-d8wBiEoDoLltr%%lAjv4lTGv=h(|6C~Hl^Pb_lr7xf==tUCP{-bKEzNN&HoniO2nL<*Vs0zX{#{w&XTp+DEpc%kS^ zXh{e(t^#D4R{nnf{u+#O%Z%RQWZ4!cyvariy@&sD&}~bXkKVk23Q<`;jD;%#3CduU z%uEpCzRCZ!0(B9NksYfC!}()aPUYc@`i|$T9NsTpejv&C^yw_(i(ps$2O%LLGEAU~ zQ#KcnK%5dzh{8;QP*`$i+hBj zjLcKGYU{3KBs*W#n__K}_jXJIcoH+mjFNj7JpbMhEHSDg_;1LH`f8_gJPj8mrrtDy zf@KH3nt?-I20KDB_h~54l@uB2j7mUT!h#fsfFI-c%jgdTmE*|{^e1tNzzh*gttC-t zkeP}gvrtN%Qzt8tk{gaF@c_7Tir_WxtNovWvCuZ%GSj8ClxO+F9E7qBKU4g?%M?Qz zkkSdfhSO@Iz&qP7J^^M=#t4fQ%<)Uc-lP3vyJ@h&j)3p6Z-V8T6$p_)`Wv#4rJS_a zil3R)s78vA-fsO2u_gO;QIr3pp+clWYpHI=v#U)>0 z_vUDkk;YAj_MBY3OUzQVR-1AjWn3Xqt?*OXa;#aohdweyuR#?nroXxC*-xud=KW<} zdJZWS1ygxWCda6HS&<5OZHBAu(rGOf1DCtVD(BIXGZy!qtgz;e=?Nvm`W}hfNiRF-E*LoTczC&paIvHJD_(^gTz6iESv>Hb z>1Oxe)76J7XNSAC`JSRgnx5pwtiRh%aUewh>n|oXiJkM3!~{N~N-_?VetJzGfm@7z zB-n%U87)Zod7nc1Q!EaSY!VG>9Fl}47i5~a*-3g#8qZIKB$`z9Nbl3$p+_smA2^wE z|KS)zX8I(+*0$n-V=ngzpsN8z!fX-IdeOGpK>FmK07l?PiCj02SHEXD6PqX4keQ1y zknlfeY9Pi3ar}mt@`}#o4aPwT+F8P`@__gfnq!1NcU=UEXUbZ%YUfT)Px32zg$<>21jX9zAB%e=St7*1c7VZcr8 zYuj0hkoy)^aXv6CTOQb{GXz+FLN)JP>~%}2zXj1iEjD0 zSKbKZ>{JdHy}j7n5zXj*^>kEu(7^ZClPO&cVDbUqBwbsVv#`PrIrR9m6eDp5O0+p& zozPT=H9M#wkOiVM`qr#yMjB59*uK6@7s`@&1mFKwgCAx0zd&jBLZzm_9Q^YoM~(f` zD&EgA_q&I}!+qs`e=oo%p$!ujpEJUt*>cSWY z#}gbwpJoAxw3m_eF&>oH{`~9m#N*AdH}L1-;ql=c+^G_>9H(ZdP(U|zEHBUf??%x% z6c{L%`Zu3;|IrI$O0&Tbic3Hu0^{tba(tou?L2B9E9Y`b-Wys-TL7%DxcCS{eM3R8LhT2qt??b zK+i7Dir-zHRP7xw@TQtH&`irHi4~s7{OK~!o8~H=_~B)xF^==lk1NnI7xDkkq zv_erc@pX4EZZa;KKBumvI1hr8?2(uj3solg5m$*A`MFoKftU!3xXfk>9g#MK0==aE zoac^M2LgT&P}oSDr739}!Zz1v1;pkAQ9jZS8_r879{(YvqLP)hF46tUT!<_JGbm5& z9A3b4*h?y@!uiN!NW|Ee!t~|jyFykE-ml&}9%5?lIAs_&T(yrL9~jRrT9xxoGSp$G zg`gvnba4CON#c7U9YLQ!8-5`==U@Nw|uao;FuC=cb|J~Dz+~^n|mn-`KwYH zn|MlLPpZZ~Vxdz!aSS6C;ArpB?6>Cm3~cplk-q4~wT^VlL%*z=hx@Nvj#{4m0opte zp|#;0_-pwKA7Cu`qxsiF$3t0=aLuj(;T{#B03Uwzn)|8~YH;sG?r+SRbM6}5vYw&9 z&?rAbumsrmyg*F8m>xnggqEkE;N>C1RLqF#qZzCEqn1KRO`Pd%!zC|7WNBXn;rOx4 zZiiWGaa#PYF7ZBLnsnt0{7|As>Kiurf*?Ppt^U7Lv48I91X2+f0601`I4b=w3S* zFAJyXWulj;yWS0rEG6f9B1YeZ-d=JE{H9?eiegVQ9ruOIG0bxk{&w7rh~Eih4=l+$ z5_FUdzliO=^HmMgnI}2rx=>04P!Y-s$5!E^jB1T~kiX(acDpD!H4qFA(>zpS>fLRU zG%6p-gI}#NNXJohC1|Q9@RNS)cXmWJgV%k=H?(L66QCKu5>bs&^4)z^w!4UnU-c$0-7(I!nTL}{Cra{drt2o2Mn4e?kOj}l|~2cih0N1 z`mAsLCJsY>8IHy3HCH3&Dbf1slyP4TxLz3-prTwgNtnknmecE25-arf6S-mxi~soX zbSharA`Q(pk9Am~NEqxls|7R(9mX|_nd3l(YhyFz(JI0`%pL4>oFGNHH>$rNY2;t{5_ii^H#N7{)It@A)v$hNB`>v*?U1 z^8rm-DwKeKzuwx~nw3|FtdEFSxiM*o4Az_6V{h!t{#O6NcfaOkBsPvykeOE)us)gR<&vDJyW91twRse6_qx~wF4Y!HI7GN!VVsv8N21W~%W>m+9l7nMZs&X*suJ|i{lIG0W$n&yrSaa~<_z*lmEcGm z;V4(rR`^=LqCr4>*S!FiXWMmq-e2yAx-*c#!g@QN-cEzezg76?NP2TvV&e>1Qb-|>H5KEL7 z1!n3aF{P`N+0a8P-xVnM~>8L-W}f~hR8;jTg) z5)$uJfv47pY+IR%j;lNvfYwqVA24fBBUz&CkcVDef9=vjm7p890$hl7-wu?!Doucq znEzYGZ*myQatHMZ4d(plcBVtG4lEXqFg7^_6tYx!m0bp#NWsYA5?)ikZMK_zc)q^Z zXsxnG@O*a7jYt30ujppIkHbt54MK~56Kg{=g>BQi6@%X1ui~Z#*z3I}?$H#7ff15| z?JRaG78ImRDb0T!5A3ntS}dm|+ZQ$Zc8il4TE-2}O1*}{J^lWH3%wtl{=F}Gt4rm@ z$m}_ZRmgrIw7XJ%YkYe0N#b9n8Ol7d+E0BjUHpQiY0v#+Fz;(LL6VLNVpk#|`O5%3 z$2l*OL4GH**yoV}mF*4UaTRxI+eMX36qo;`8m3k3Wthul7osUjirz)Z@QdH#x`yU8 z!bDqk5DqW{REbiq*!e5)a0DD-wp5C(V2oT*zvwv&=3?OHUH@l~8K|`h6D2hniE*NE z8w#vT5EKdqet&Ir%=}op?@ZlcLTFQ7`Tzp{A=wrs@VK)yDc!Ar0^to)b z$$j=+zAd|>KX@ke{8i|j!OaZ@|0li@Mel`sR=il9DK4@^L~ZimAmX~r8uRL#_E>Ro ztnOoE!t@>r!Ta6t?Ov6^@|#um|C;#lZX!FoA zXX-6&O){ByXAA6faxUk6dNP&86P6$5$C*R%GVf&u2gb5>p!TzqgbLc(gbF>aq-%3n zmU9sH5*bP=yHOLbXXYV?d=R$dr+Cg+u1V<49vn-_(p0Bs>s>c1O*^2|GyMe@ve);o zvkYs4m|(!)AhKO`UWW$qy8`V3c&TYW+-BtB zuR0o|ZX&T=ZBzsi1#pgPjXY}UX*xr9lU0Mhv7csnG8i31bNLnB+}zZ|NJ3giybe2txpXrE@Qx)8S=uB=yuD_6%`-wCs)oi}Ic>VN$ zqmIb=_f4ELIT}sXH_AYzLBafO{ab3q8!WEY!|}si!S!e;0ijKjRAARPlE-fXWD^q; z0ES~@6W0|D%|VJs=oOANIs=M@^`dBOoTxSJ1`|~*MW(Xw(A1`+Xd88q=(IFeI52*Q zv{CX={8%&X*}_!PYy&9%Q8zX>X$Gk3u#-C0i|}vYf&eke`=5WlU{@{jU?l(fygQPE z*)hLR5jp+^ZyVbJm8|e9bs0oukX)F+Zr88DmO8E9X0nhIh{8d%QZBGu5(kGF*{l}I zb1Po^3R3{wj%B#Boh^SJk{%fYae1VJPNf^10q^@^!s?0Ae1>yHSszE0Isru%wtMUS zlx8uoEwg6T_QCWl#X7J~6!9~tTjq3JvSt|g_o#RH%LHhA#juR57$qD7pLYeXvB$NMyq(um`bA8US%Fv(~wn5UX={`KpkQ<1dzGK|vyUV>6gOl;lpcQV#{?GL06)%5{HAxz)(hz^N{3<1H z?w+*#Bd)`dD(p(NG~N1f&Eg{-2)VIu0V?LODE@nA506_~u{~KvtUzHO#JP$e(5Ue^ zbpoi%pf9IylLj}s!sK%-`Qdvop0eCNt0;2BUXFlrCo@9>vFMzLKko~{Y}y+)IE2om z#iCtHcx_0mbxqsCq|jgD8gruYsq`E8viA(<>Xoy_$P0f^IYp9|c`9Bkrsn+m(Es(> zNE9l&gRX)gl`-a9ybUL3_CPOVF!sQ!r8-Z2k2cvV7P9_fe1j4)&kE~502Vb3;w-Q) z2=L;8fb_I|7%2H=L=qlXu@z}jB<4L+ig@iy)C6|dZV@nCT*1o^zla27dZ}<%90FTY z1*YPnbS7Y57dS`!;j7^y&(*)I!8gYTi*9{tGO(63Dw>g9>dfo0BGF1?yG!XB-K5XV z*|9d8k6t4ni(%$sehvAoKB5?>I^Ldw5Rq(o5eHGeNTij*>CkXQ(||eUCs1zm6Cvl_ zxaaj^xbRo=w8)r4b+94rUWN1cB+@#JI*e(@H!b46XRrixq#{_oKt?{bwtesOcchaSI+JS2JXXMI=88-3*3bcD&elDl8{~KTh zR8-loBObOx=LoDQ&fk&34GaFHMwKL1KhjT~*@nO{BHVVG%1ocpo;8cZvX*K7t@Q!? zYhsRZp~*_)y!f`p>8i3|R~KcxI>8Z`aXES_15Unfqc0@gu6Y31VQ^FL7~EV}aHx7r z4T<2WHi>19cRrrB#>B+jJg|o52?B~QFBgCRc(PWpr}JJQ4->e5(HW)!#eY`)d8ET^ zxyWUW#1(v{OIF*6iAcRXAAYa>Hb3?kx=Rch<#B%v=wgIAcS00UrFPwb<8w~4n+Q=5 zhFY7pbu-Vi^X-j|$Vk59&b;MFJ0~7S{j)CUKqnmv`rmjb2p`ITv!w1Ef>74 za3I%*D^ABT1Ait9$h$&+Uwp^E=Jp0&^rJh}c=s17Ifo9*J^Ie!SXaRvhMnac*Lzbj ztDe{F!0%5jwCqfK{U@7KQIX5*pDHFnsOiDHo>fQ?9b}~M5>IOsCd|DsdwlFo-T5tG z<<6I>IHcrz&aS<3>Fg7k{Pu#^Gs?w?+Rv*xt}v+W2r&45qwbT;E`;{b6zG!=19`m(M)- z>d6my%PTRO)6TZZhiwAHwALO-_zC*_>UivSH!u+>rKLT`3K40Y+w4N=tPk%8RUulH zuxjp;x&Q7!Z~sJBEz=IyRi%a{m7i3LtPN89z7E}jh)q~hxGM8$yEodX)jPcOa;O{5 z0+m`7i3u1zBXGy?)S#NxieaSZM(V<^>9x9@Xw3^vX^9}y)j%|$p!O*_^CT4sczJ4{ z100Q>)SU)=NR$t-!iklyQ5LMf-2Oh(criRk?R>Jl@uwjbw@accPhgb3DiD)$>K=!3R(2RRT-|@Dw07xExl-U12V>~qUn4-z{!n!V&E9Dz8&Jh zJ(xmtZar(WaGu1@bz*s$QbbkTMMK>QhiAUSEw(*7lg23^BJ{(Nct>xgLCYInPA;2Ejz@03b>taK)VJAC>tG8W^rx^uK=kOnWzd%8seSzUsu%GyrR1lh&EQy zDJtYiufk$@xURINWvKBxn$&QRc#A?g#dno(&Q;HzyPHy_tnc&ssPeSVoy)7_Z;ECx ze2-q;d7}noHjW|Pu3Q0j!6GiV*mpdJT#r2e}8BPYUacc99%zw?v&)_wpI!(UpUyum9-Y(H+=70{-KXfq>j z=`gy`d;Q3FV9}m$S7f!&FHyUwCqls5uU_xnfLqVE;~IyC7`7cgNQTx9-0mw$Fn^@> znvcY?G9Q))J@&RzdC}oySH@r+VG4hcu3)*c$d)&^MKZ6^aY@x>ej0BSduzc;UIZHqY%FdRo7R6X+7)JrXlrTR!Is zx2hc^m{(aaL{WFfI)$TB!GB;&YDwjitqN#t*=3;5QY>zd`^~LFO5Hl2=I_s!LM$3w z|LoiyV#|u=^qRCw)LJCgWqH}$aXudn)i>F;j36Kbs(gI6|5xmQ*$STBs z<}7%N^HfT`9s3Q~F8EE9)6uZR{;bhc#|^_~Kr|_c0s(iYye)uj9y8*_r{1j(`UlGc z0##s$n?SZ5Ak+1`=qF6ZLO`?-qe$Q&S_-44*GaIaeawoy{c)&x6tvq1 z`A??miR~i|Iy$9vD8f&q^UhqkU8S3k<-I-Q>6ci&$iS3)mL>oVT>!~y@TS7O1zy}+Gv%K>apCuhL#*oEqa8*IzxKPmCWZzkvvjc~ z{O^^=P>AWiKXrG0(nra(u2AYvqEh0Y{IYI1vH1VStUgx4WhBpm1QnPO=%BtbfIDiAT`d*8-ubwp|SUa(zlM`LT59;0XP zItpj}29IOyk9Y-3L#2e<2~t6&^f5+0n;G9D>Z?3E6rFUT*598F3F(jSUr zV0&kyX-3i@c9kWhAuXE8r9G$plVT5CzD{^LR4H zc}mF_nPvCxb~cRVji%BcE}9NX2HB8JTpawG|CGs7*OVB&^SY5w2G=L8JN5(U`QR6~M)v z>$C}5+d<~hKlaM1D0Fywwwlsm?OIQeqgKalH~YQ>qx`FD9{9+hr?ct^$@ee7jo;+n z@6;Pc6n_c_THo!V$AVZ05f@yV+ASUtgsr%ym}OVRf$DNZ^AqjMN9p;t@Y%@70R&qu ziJQs@GV}VC6F^#T%0d;7x`)UlRtV(HjiVB6B-b5=K}=pp{zVlKCJG-^ezF68Q;GXe zPX^N0=c30)DZX=rH7U%!hg$GBpO|g8DHbsLpeJhb8MycXm&(5IyzC%UIr&KR>q;)_ znTs`p6liWhSY^eC)Vc_}n{$xEYqICb+bGZx9JY_ITE2?oAd1v5)Fswy&v?)w^tNv#Ngns5wd+AXc+S%2kLXpDK1Yc)j{{z6(*zrj3vj)Zxo8 zurM!w?@x2pD?IUdUvYD#&cM?p+;4a(#@UucvQV>doA}=Y8B0GhHpbG2^aOFSa_7!} zexhjU)x5~ntPeVK1{>jQ#08Sf10*m4l&tLR?A%;?QS3I?TwA`(4Y+CXPu~<6E9}Xs zQHag4O|nX>cgPV~r5J$}J7qwI02CYLv^WYj&LOyG_YuecqPEmUJMK5%kd2k_+JN#@ z*C;CGm}8!3W!V0*Ov#W@YDO-!DyGW}F#N6w)Zc!&Zm_Wb(AXl|)A=Yx^P;Bk8*M{K z{$LwDR)6&IH2qO{V_dezzcSy_1r9ZUM$M{LSYx09y68@98$G#g? zP`5#?@h`&H)Zyn)i}enHj+ZLX;!yF5+YEgbfA#kA4|BWE4a+|(0c zCP*^&XGa1z7fy|s#elQ&ly?J7qPj9IaiYN3ndLU;w#eXYI3!9GMNPSr(S0vw$gCDH zbFZDvrR!EItbGLj5ySPZIFh+=^E^eiq%52{0=myv43S zQ8hQkBYrOP*lni%iq#q+CHk32lrO(f{FLS%=%C!d*gZhZEjt^VWOKs+zIx6FGE9q3d&-bejCEXTGTl3%9Y3b8Q?d*$4w=9cxU+z+fiiJa&+l}~E0@UBr zCQgM0(T^P=cf9YItS9kQdyUAEj1Ka{*p0cby<7*yY%m;uxH_mHB6kXHBd;Ape^KgV z&m0=MtFc|P*`86?b5+>8~Jj1Gqt zQETRbm(E59UQM|?5$C7)e1ps@8ik?eO$Xff*f#b_MpU&jBYc4Ytx*gaLn`tIKo11n z*`dFkiooW{!jgcQNbx=f+*BA>E!rCr%!PDGBgL}o-tW7Zw~2HG3Kr&vHKo*|Iyv;^ z_$v{y@bdA~%)#{94|dAW)Xw4s0-LrTk-a_{y~jz~aV;+4^cCGUwItBgrX+)w>1Cpi zMYH@OU+gL4xxMdD9emLS!gMmF;%?c_5<$mZ{JJTR-V<>d@MJ*{tH`lqMav>ZmT`1* zoUmlyS+A`37A~a0wL=_h)-UsuZ|BC014T~F>jKXMY_));J*&Yj{)Ve1~vr{#g*|S`z>rca6j|Io0Z0om+V&=VA6T` zQ1alXZavbPij4CR;N#dte(hyDTjK7HMm@!%23$*5S8ngYf4aUZ0+SCDQn(`7mBz7f z)-pgjJXaTznVdg%uyF^^ZFE8XcE3|V&Z6rro0q36fqo!SN8W1!iA2{fW#t^<>A(0` znKHj{13UxPVHVCD#%T!iCBB8b`j3MVr(QOqGY{CSgGD{c5W-<4{`F7lRk^>rp)a9L zwy4C96I=fCQC4ujnmLSrIKZ)mP;3SxM*Hrp@+=-_a?nChEJ7*h^ng+buVDL&=YkzY zUd(q|FmisN7_CG4cq||J0nv6+GKE>fxt}6ZQG$&O)eRvF0;I{e3MC3*oJH{1-$vF$ z@7nSQ-K?9^hly5H$z~+1d;oNY=e?FRTQz`)!l11u;c^yXjikMv&~s@&7J zUDa?6y;7(?9Ff~0y}V77j!wfH@SB_U?Tx$DKKX-r5rThXR1hE4#t|<1#K-T{v(gA8 zu>xJbs1Q3B8YK()mpy)Dbr(70$~Bjh#(L%nje?r(XT}Tb_>HWZKBq9sHj3x(l^Q>|pFICNv3~t}5T;u-g*B=o zBGr$+0e1 z0YB-H)WjxAXJB1(od+3qsO>{9Si>jJS$$QO%-dj9xJ->HM7!eESP73qROV+cj*F+& z^TkypDc_L#xJKSr0z5XQf;kmUw2s&1=Ut$|T&X5vMbZW#H3xTR6PBV3!EQf@kO5I= z@YWM;o35Ol!6duuUAjlYzjr$xJ%Thy?fqF;eD2XMj)68~JLr->MMiQYJpj1ea^RLz zfep|~Zr)dFpCEPc5#^$lxTJG@}Bc~gFK`xcb&8+L!?{}hPm$9#2N-1U3jZb4#D zUD{8&C+R{)5zG@ZrC2ch%Xs~dh=(tWk0j4E`UpH$R4KN84HWKyA3yYdh7GzzseLaI z*_rKf4aKby1h*Z(oMZm^$4QX#TW5b8Lxfne3sO_xRN?5LG=F+|JaZ=vtZQpQ{MtQL zD2@ka?+sLV{WM{Cc(4jbdp#Bw@gjLSh<~eS-j5hOq!E@Z{v=xYCl%%!*^nau+8vA# zi;JiN@3J6J9E3OXCF%_^S~3u5(6wl1OI9{qL^eSO=6&XU?O}>BPmGW+%DTa`Nl<+2<_&8aPo2y%YwUtxxU(cLwvb|J&S3a!4hB>So4pa z5A!wUcd$+Nmtfd6iE}8&GDWE-bptzgR<3=~!QtIa!s<@J14K?cZlS~c2}^sE6HcDw zT;%IIX*Cnp8t1JPO=UvN5-squ9q1iMI&Mf&U{{8b3KTrC9~~CJ)Ru3;Lo* z0{wr`hVMOcp)~Hv5bKbkg)dv}Acjmda z3c`a{;?jL@9k1BH-(;{u+v0Q<@w~WeX%bq|M}belBh4(eQhfxF2B1(u1O#v7bf+uBP>tKi;XDoqU(!PnUzo;{pAls0X{^e+TwJ^Z1C z8Z`DFApr6*HUPJ-6T_1e>)S3mqCZ!nWWeMJ+B%SS9_E^G>lfhSGR+ew13RLD^YuqV zg_IjtY3Y$Zd6$Mt5kL){t2%p-yK2rA(w<*{Z!nzz{_9vG7_fJh9yw;kJ#ktr6d+B9 zWV`Zlq}B1iND3c~$nY0?&X6y$WZ%`0ycNHQV?kaOndQCey#TUPK4HXr{p^?2kvGj; zJum@F%6yhGe}N`OgqQ6u*Cgi(HyOW5r8ReCNN!U8g7)qContW6man65t}^|R`h)H3rAO7QPZba9u<;L`9~45z@dmn zYS+ZL;|6z&c$DPUp|Nvoef4 z8@MWQ;~uw~vzb&ul-kqoO{$%pk83{$kNmJ~31NU}RzZ!a23GM0wm)5n9ejBPh3YQ4 zcfy{}TB~8e3iZe6Z2;8x#ffI)@>0GK{;{L8txbbDe-+U8uUIR_uqK7xBIh|%VX@KT z8c0!)Q16=JWpD(@zxGSM3fW}vEGwzUfx7r3C1Y65iCs4LBg8=-g$~(s5RKftX{X?J z^0nHCA#VZ|#&-)Q8R23}-Tk9s{P_}UN_50>j0qC3khDiIL(D;!)j zrP}4agHm!eOXFtW&7-S`=UG44)rlGI@2R5;%A#lXJl@s}G>cM+dcipn zp8`eg{zMT}-27j#>F?+LVDVWV2O+{FY&sba_>L4w#aY1FE5a@P9);+N;)d(V%n%c@ z*}T$Kc-WA{F`tZF$4zv(Ih4otMa+a&nlhBU2R{0+9MEOTReVS)(a6wIQ^I=BjdXD_ zuaXJn(R3bD)V2n7CJ627)!lCAEoji5rbN+P&7#k1$p#uzIz^bpQp)HgM2zP7b~sU3 z-&fZ4k9t6_YR7merN<@TF0MY=-O#ne+kyqiZBFZAhw z!!P0Vf}m;;lAPTw!db>1D!*{yiCE~>OiFJjr z0T_Px!M_|@*UvJ*-Y-wU(kO<#L*s|CAa$Aqa;d>itRAXb?+$C7jukjVsJ_MlXP2bO zYR>j$&-2cVcu{9W9K{6voFxLDSm)ijxLtt;;?C3G?;(&UFCx@r&PAEmTAf}5Z^APk zW7*5aydA3XSM&Lk7gwOWL+`F~4XT(CV^NNJXKS zV-vKi8v&QBXWzIacV9hw1`zQGk}Adcq-w-R(Z5YG$s&N!;1vF_rWpU_|>q% zpuU)4Rq+8~yQ_Gi2yQi!qD`qQB)AP=v1ChGW3Z9dJLBGnry1ZlagMJ*H+}*<@Q9Fc zIqqrHV*ZYHZ1cI4_C&WwFz9WJR*d^!7tvga>Aj0WRpIC)vxlPb~`9)ynCneTu|W_Pe@lkbq0b5~$`- znvYQAVoPeaOL$bZAz1=8)tb;&!)S#v+pZBlq@Cn)Qx!o{zM$0rUyg-2uhqb>Be43g z2}U;hM05xvUw<%~{e^HI6;%&0?Eue|VU>?CH;2TUn++4#y(H&L4H^wep~=&anf!#A^0uq(e_Fr$(ZO_z*x3t z0l+!nbprStM>mH+?CtHt1EBT=GkX*%AU%YL-6I<8nfoPBhxVJfczEz-@&XFrQTAK_ zOJe-AX-(rQ>?pl`v30ZIyn1#wvYb&K^KlUH0ND)TmbIWJ4tWogf98z(qc`wKhA3NWtPBka7FaznB2X;Rk=6Hf9CqCSaYxYx$Y77^bzu5c$IJF8K=lQcq; zV_S(}wheZzcpxE^a+^Wt$^=V}_>=+wa569prRLQ)OwIl=wUeKq^K8>Dl?W(r#b2U= zh$2E@G%C%UX#M$2gPsr-vb5ivKb#?dJ!w`j!rgU2Q}B}lR#81uN-8o}UlQU^mG9N- zSU`qA0!4I5tkdjjMO3u@_3^35v=3XYjS@153G8TJjqg>x0P4Mt$J1}Tw0l<`Xr!&Q z?uMSi9yEY(YLMvifHLLlk1MD`{x|tg#i0x+t-B5#A5Qy?bHSN|;g6!T{r!L^e(9v~ACqtKW6+6ngx%1fG0f=Vi4p^K>K1gO7+Abu4!M`BV+97LdG(_}~1-ESuB6dwVo( zIoK^WT_%FZOp^7^c*fS(gfHJ92ps!O<4t4&XjzY$1mLSYCIzIbq?9pVPxQzlIXW zxM+qWqo^k+)vCd}cJFo>)V%8w{{j!t5j>$NO~5^NHFogfOB&V*LY{T=+tq_`4#Y&} z*lZ-KeEJxnga_$dLZF(cJ~FAZi)IlS{}8&w17wBV&-t}c76pA^)?ZdEWG#cCWsI-& z9rqL6J+?a{06i)|{K6vI6%f&&7_o#O!hZFK7NUTPOZ;d5V?~f6vMMw?73_M&+WJLt zCsv87`~{|G@zV1l6Mm7|l1jC^c-Xaa=V&hHNDNL;ZQUSWFE01L zqi?33bptXe2z+a=z4HRn0k%{0(qt7+AH~>4z5;P*=7Y6+h*-UR%8@UBtgzaAO5K9C zVYTIQqhXbn54Y+ZHn%>_pl@EJ$PW@GCx2X5B5`BnXsu)B*U9LSDN&+Qo6I7)lb)^F zkv4NTzM?CRo+NV=Yph2lP94w>+g|m+`Fv4#f3!FNRu}A&sP(#dl2g1vxv(cfLr;w_ zo&v`z9kxXd)|um^`!&K9Yw*k$(Mg{ZUmIC}D?`M4nb7ymEw7LOE$3sOV{BL2rK?PkP~i3R6}ZT`=NWrF}#;IA_~99DPuVFa5?gJVp>PIb+7(X>>0X zj)Pq}+ArDcGr5|C%ysJ(YvGvTcyIkos@eJs84rx0vZuf;p4rE8%vQ>pD}Avj3b+2I z9tFbf16dp%5Sdtd-Q1_~%E;TtkjQHhS}c#Hm^yP*Cw>>#W8+2lmXAaO zaBeL|p84LSA zeT=OK_)X4p^VEi%FF<|k96pv%$nz6tAwZ%~y__ZdUD@H_SJF>{)?>=x?{F7OR|9#u zBF|p4`IuWc>p`9*%7IR&<>^_pdA>G2k4;o;=32esV>t+rMfZ&Xv&Q!V z>iNwxtlD*sWh%s#m`7wG^qmqD*v`DyU>(yoiL~ zzaQqY@K2cu6J(>qt1^oB43GFcBzfL-^pY(90!|009@RpuZ{7SFs%Mub=G+IXzk_DX zYVQx^-l4N&6mz}p4{*7Hmfs}!;ul87y>NY429aHEGLB?zU1c};SeZ^-;jz!}Hw(h29apb6Ek^vi0NaW_PP zM1Y-pTQO9pjBI)qPZ3G7k3{1bU>ZCA9^AS(JS?}(0Qgye%IhxRp(Nmzs<&=ks4V@f z!12f6UD*6M+@SfadwaRn&M1*3UnV)GZ0PyP-8V&+ytPmqCUE)k{sGIism2MfPlKy* z7hGA=BLB%I4xQMBXe<#O#rwbZb}K+lxj+nEea{vStY;YjEEhH>3FOw4dFx#@{bH`AQW*Ti%i!*FzWOibsPX1cp; z7>4PtX-6D!e$RgU3+BA<`#kr3-PirO79+qul?7c?>(eKj*^n^-{o9^NlT+iXU-ySA z4~N+0NSUcmO}%xKc%u^i1rYQ{9EnQIzw9qjW<|^#InxFzfhE>(D5b^)z;yo~(Flh< zm7bXKf}fnm7<<2ciliYLlxk*w&5?q?7H=XJOHi@U#Pgi&Ob&4eeDC_1tI`i z5ctr2CJ+nt_c?IlL+*bW6f=c~pI>K>ClO|gd0qlQEOO~z$m`X>hEqd2h?CeK;qFjY z0`o`qtowzI`zQJmo|o5|h;s$s3s&GxT3=t!9PZ$}kMup|UVbA6jG+dsy!{(h+JgH3 zcm;=-DO&r@To~3g(U*JADjy2G65Us>QgG846qOqs7w4op0sH-y5s=z`oK1m-S1Yf`Ct;6 zFveg1g2)eU#S4UtG)9n!*^c7h$lDbO-@=Exn{4EbyFcXFNX-b6S?v(^V$_Vz|Mg0a zFV`wzpg8NgK=kEJukDJla7~lwhATf2+uQQ79`A4O6&#zY=m}zyAI+cFv^U(9`is$B z-M+n>Ef()%+E&U;l7TK6Ayf{t5(=EWzmaEbjWNnEzIqx#XrP1K91ad3)qJFIQ-n9G zn|Mn%^Mzh;U)Q14`56}`UNCk=i-2UB;Y0k zdz#zZU;%g}GE#wYP3Ap2aR@j?`)~cltl5uMQ%ROj%Jlwg4rJ?h2jX;U@P90d#gp@7 z>}p?}mC*mHNDz8avwK{j$;X`5`O`daVW_+iPQ+$vF^RH&O)Q1@x4C7%&^woZ5wfSH zOoQYXUp-FtaxOD(jM9{RU?&rtv~gnOce(v2KQgOMC=;k1;h9a{B1uVEx+sWb=%+A6=cA zu1j_I^~$SeGmB4kJEMHi&an=J_1EDow_;4_rX4s zOaNozf8lh3-dx8X9fJoV?I*+G&jM1f`Q$2rcho~tPSJx~54RaEun+ZT54k|%>5ty3G z;IP9Pr8Y)dD%6#lD?X-$WugpEf=oAJ(#r2_#>Q6p+EkxOlyTz&B41p_c^6^%WZVYw zxsi&~jeQ`LMamjZzb}1-2?H@;6)(da+6)g~IWE8Wj<@dBvUGozj4V371rEmnD%YO2 z)5pFzc=PWibbtj)$M>vpMK?cO)CiVs@UV=<({}b)uI}B;JDwWEZx{hRRCWCe`(f&& z)uk+vPwc~3Hq_LwWzCkV>uAPDd8j7K*V{fD{pRztT(|F`spX zy_y5Oqe>rmX$SJQ1NdS+aDKTiox1CDE!^B0XU!md*!zoO?nt_U!z>Y{ASRhadc`e% zi`Z-PA6_DkGm2f~sQdj|d))JK80Xf~GpwF8NMP@k|7(V4S_EADpWuDR_@G(=gJuJ4 z`C7}U)A<_i>Wz-$W(V=?gRb%H`~;bvgUKc#g4Sl<*KVh2@qxZn_nx;>!%zob zVw&|Z$=7c46I<*9!F^T45}du-GZF>0)C8-7gixe_yLao|pqwk)@?N16mPJ=0*eU-X;W(}0i=^MN8LIL#g)r(xidG!FGAAqIUOtJr{(n5 zGijx9m~iJKM;%)f#s{;mg4s?bd1X&o*I01k1JAn^7iK%S8@GHqWbTOhWI>BZOoNb+ z^#S8a%kM#52VPT@CuYO^F<0i&;wn?Z-673Esit>+GHC)L?`V=Ii>)57j82!wNG3&9 zS1j`qp7u4SYLEY*vt9t;?v8mHqIM%*;myb1e<1?eP+D)(y50JTecJOkg0(&U%N@UzFbIOS` zOAMU0`bTKoEA*9pf{GHZiZOlu0gkoJr!T%o-r}6j;zy%tDHT@s?5@}!kXOM=N>DZJ#=!?%9V2Y$HeU6S!_jU3h4L{Uag-LrWhX_v9lDv^8D53xeE2l ze$Wfy#m2+lxfMG6WbCxQ^oGN9c@ZDbB2&Y>u9n=uVG2qP@KgW_$;h})ug<iboawHw=SUmUbFC{C8Oe9iT(_(Lc?@fMe`L#9k%Ex$emt?@cqko;%9 z6vVyv`C}$Q{uSyjstxZ6{AI#XiM{lYGX{owYyz1ZTch%Md(mHRK5eD|2Abm znazDNV}wa^$Go8)8)5TI8R%1zS!(JNZa--5Gs%t7GI+c@!mo_TFd*H=&^IcR3ML|W z96&Ub3F+o|{N#}X{Zu$hbF_f4ag~)@i#JZyK}^km;L`)2S+>346Z7DWss)EDcHCq1 ztRm&%8r7*FhMM`-V|ZsJ^CQ{S4KHmidjE@wUK1LeUX4z7vZzJ=lgQUoQzGm7hRR>G z+Kxvy0^GO=#Rk8v-CFb}U%?jf!T1&YW-#6O?ZCH{abde$js;^D-xjRZdhb6DGWdWj zRhFb)5nsnp`ipVATw_E2tIRe04o@oQ*r%VZ=bU0vv0mEat#+s5Y31R!ZD?QpSQj)e zF|{?EaxNXXU(|q;BISXJV;t-BN!nrot1J|(K*AIk39uvxoL(kV@31+%QFoM0Ly~mc z32IAKPSEEK(4*zNWV&Vj=G!wPKNWaQ)VtN@oTBPdoln+cZ4oKAAOLijwC~pcdK(%% zt+kO;_rJGl>TTE4ZQ=%64m0^mpv?3^TtrftigTW*`p>KUxm5MaQKs@%zON4HQkaN} z3J@g!K=L-phiP>|)I3L>VlftHZr_#BcR)i(ExMwj!smJ|lpC}LdsBrlmk^F%ILsR) zD{~>iTh+31uSO;h*zqlmRT8)!-os==4A+o1e#h6!y<;-FstM9P(@Z~mU(OcM_l<6R zN59)yYLZkot2Dd3zJa{FTZgw(d#FQ~EeW)@iuWtyU$7DVM%elHg2~Whk1Wcv>N{&a&(lNt%RBK5N>b zmNNL>>JCks^g$|5yE@RS|NgbB(|f7HInor2* zWl6I&&C;tfG=(d4Dx9q(7>7)VCmrDq2Dr`2}UqxS8@o;=|9Xr_=}dYy3Q zDEv>RF0E|Gg9xaiKar$#lryhW2uSAC?=r zzr@Idh|{%R@aXJ3tK;{8 zLj+WXRNpFy`l;w7e15wQw5x+GuLGDzpj$%7jeu&8+5}id2i{I}cU^rs5j!l5i1#Qo z8{`$a`pPdI7ZXp*G4S$E)N>OWd&08ivT^k<+4g()Knn>}`{0;zdG~!KA}}zZn^{2` zArE|^El2L6?UlO7D>*}4j+>_}ATZk~ALXb$%D43onNd9b4#*IEVM_wWmL;nGs_DVg>5c3ejVF6>^k7fcTVpom3TrWil(k6c4eo6H(H0BW&jAD+l zoD;u%%ZD6-qpTbR*H^UD!Y^b@K}eiC-39G}FX_*b`6HDBXmKxM&Mj%>zNUJb6(Jl{ zESx)GqZjPq=Qq(cu8!0dPD2-5}_BE_*X1`m5;0cf- zd%7;Cyyq?oHvYYKZxwxF*1pd_M5fOaj*bfGlI<^#Lbdx7JL(o-V)<94v)kM5RT{tC z8$uIXge~YRdu13_cAPr-FSusD(=)4bf>B}|xldYk>xVi@WzP??=ui(o{5M1W(xab+ zX+ax!P|2ap|2Y!plM6#!%%rH>XhzPa5ymqQ-}uCssuI{knegX4Vr6#hY=JR5!2@~; zpLi`$-p;_<{``}}92yo#%vzTAf{eJ{4Q#L~TKX6%inY^FQvqfZ_*+aS+hK6Nf(Hb` zLNF41W6b??K_o8Gn&TE~T-#j?pO_E?pR}C17HkwSMl{AYcJT^PPink)(URu6yD}5s ziHa-5+_~i?{(`mjv;Set%Q2et&0{8kS&f=h>2gtKH_u9h2>16tcX;#SK>w$0Lc0 z!-3pA&}ip-nSYUnFG>RRB$&D`%X~!fp{WtvQGfVp)6ag1RC}F4+BxRyQeHi@RA_7a zzgH4z6Dn-C2vEW;lj(~=BcMJL# zAREownMOebN@wORoS6z#fWgzpupF6-_!=Vm8`Sfgs$NK+j_ffDgxtd_@q>n}bR5-& z(Zd$9^mwYq(kO^l%~_NVYEq=qY0Zp9kXld0>mC~(Dz(lGVNSVwWzzc6E9+&!ef>*CJ;{LnAVZn>2Cu;F_bd#vLl=-Ck12As+gG>9Q?KmNt!N0m>s zANNUHS1Q|Q#mac;n5YEg8ij`8>x^0Gdmf!!skZwXoj<+p@v_w86)@?)eeFgahplwQ zzIf7=5ZdHr(03{`9zt_dAClFr>bi`6VJkE}U!(hc8f)Sr2S^`}=$DCf$(y6c2a9!B z)V7mf@^Nk*Vq~)>t6h9ivTTv29w5-! z>-Sxk!o$0=eS3w`o6UwWvf&_}ZO2OF{mjI1;ZzTO zpJ%iCiHuGn=uHWBR@|3QrzniK<$Wl9jC3(~qn4#w z?V!u5E^a3Cg+?0QwPd^yqZiVzUFyt$Pt@}gyl=>Dp^pE`zs}AIl|sR^+x~U*T4s@T z+PoczDDvq@5K`0jKwN|?B92-pIoNatix%TP6(`6rnV|$wtwLW?FhHfpT=fn;Xii8& zS|z*O%sNF+W)Z{s;#>LntZ#s4eOv|yxz%x(ocOEb)(xpv-Bnh>2uB6-ttxh*3s|K8 z5nQi^0@Z4!>9<-qcrF3C`7=jQcJ&{3dUnYE#cnEnug>PpF+H!F7op5$;7%GuS3-xN zoaZ=yO)mUBpg$ zpZVzX>x($g7+c3Ol8ksQyYSnzvOi>)s$kG1iYm^sHgb7HH5e{k@48SA_4Qq-PrI~f zGyEq+|I4MZthoX5OnK=)Q7Vwi(K10i=!E4$Gxr2Qq-cq1=2hI#OPR_4@ct){rpNtgi2Ah# zRwwT2D}m}EwslOfC#4-ymz639?KQGbOC}nvkui9Ah{#GeDjj9Sz|G&pIk(L35s;=% z-&vWwU|oWQ3^=k~mFVs4NYZ;@`prH7WzBJn@28z;D2b+ejhg8%$;Uv*X_1t=U5qo+pu+VAK8_CGe)CFhS*OwD(d;kVn2|c8QfN?A;x@z#ls|M4k z|Hq^JMIaEN^gh6U#EAPvI=l9`P;s zAlZ*q$@sQX+?)ab4aYgzg(8L6>Nw=NdGBi69q!LxRA&xUStdHz__TG_`p>e&f?vK` zUIEI@G~Gio^314&c4CqE_FjCuCu`CYT1>z(;E_Nd3Q@RX1ItE{3(?)@%G-K zugr%ICeKsU$)8AIiq#{Gb$|Qr3EKVjOsibordswr1WH)%_Pf&e9U>$<2FtQt?8P(R|b=q_tO~QILaNj^a=JN zq5ADh{gNZEgfADFX7#6Nv!pj;cYt)D;Yau`gxun1;lW>4CLYXe|8h?QF#di1*!PUp zmoI$`xCf4Oy=Rw(vRR9na~qR|8q&94h`+@RWcZYi!LuGv_$=^Y-wX?WG%5u-3~XzC zUMaf1cKd*-S@WnmyUL5Gz&kHq-@Gi*>I?&vtN}*YpAA4_*uuR}r4Po7JCA0h0!}=0 zA{%{2OpY^mUg*9Mp!LjJ87>#TUcS+_s6P8jFzi0vbx)19{ykrT=%ILD`;k zc+nP7{60{80oaIcF|)|WNBtV|5%@Rp(Tm3;GD37%#U&dO{>R=q9JkYif3RYNI8h`& ziFRXoIrDD6y5@JWHk2j5FZGR~kj%pnM@R^u_WH*y@_O)Vd6YD%J<5T8t6@br0ckku zONa>B8H-?y%7n?_MWK-_SvN-tK(rzb&=+>Flgr!Le;Myp=MRIH1+m{3Ntt&4`465K zrxZSq@E|#eFkLAGw17)**u}1y2l z6HvQCHZH#Zkwff&0EYfA**VbptNU3a->0Ttch{$|HZ}G!3x2qB={$?a;sslD#et5k z3cZ96N z;3d{Rsq;G9J%dUuCAZP@8F7es2x^YDSDl`c^(tdjsH(a?6JbW8XUEBX$fK`I+Up|7*9{0LZ*Fh1WFOrKzV=T%MG(-c62oIo zZBmX$yn9r$tv=?_OVMKXV)<=~RZ<-$qMuyYJ^zc4+?@r-fwy8w1yC~iIUAp zCxA-Pz5wJRAWMi_Cm$1nKRD@5B=7H-mLyJ{Yn{cgyNLItAUIEzU>iKUkNiz zXIw~kE7;`7(u$u@>c`7{{YWkZNmbo){3f|*ZCE#Tk%>MvKxG8L7oR`Z8&*6hsUV_jb(raxnuNpsYSO^bqh$ z{BHJN+OSM-bA@)>$$B3?yYo4+&*-kNoExrf#U?KiH+}>n55PZnQIM&y7m#xHU{N!v zk|W&>fD#$m*~eF&FVS_ye;7}=x)OKCou2%ir)+$2tI`Gq-YCJ-BVtVOb!TQ`=djOuHL^53Ujl|qTm zHJ1oa*a|afr`|u%RTHabNwy^U)dyo}&a|17oMB2Yvzfrmd*9)pGHSB*LwOlfK=*%i zb^97EIabMrpmeWg;qXs=bgiirnGh&>ycNu`XC6Rp4<5zO1GZSxdwp50cq*C4s)dSB zvIZNfl<;9#$NtMV=_P;DKy|#J2qjJt zZ$!;e8u!7%Cy%}-sAJ)d=*dk7W0`~I#OdRFhV^6VDZ;-GX)Se8?54LeAIvtqxa(j!W zIpgQO49wJFXeKMlGkQF+RDLGCEaNKY!p_l&Z_@Mtw{vyQ`o%c{egN81ALRX&!EEMF zj;l{#GSLcr0e-Rc%6LpDOwmg+m4?81-Si;l;P6)cuCFf`nC;K006Sliy|3stxmG8k zKpC*~q{X|d3pWa42e=9hWpBB8vDEauU-b@G;rXOs<_o5llIcFHc{kP$&m!6(wZuA6 z*V3b*>vDFMxn4#O`EqoV?G-uNefRhd@9d^4ir4{#Avl%8^?qtl-?iQt)PE+@SBV&U zeZ%M@T%*J22^7zFx=50zb61@;!y|oC)L`Thz@SAuX=%qI~Nu!mWD^m3=6vS;=LAw(Fs9_L2gsnE;H>4$-b1?@pFa^#Mm*a-u4u6Lxc4$a`L{0{>$0Y} zEHn_|*yyk+BW+kI%|(zDkwFn!4uly}XNA3b3_0tr*X#7-SfLN((Q5jfsn2Ilm^7); zyn=kV`X~C^Uz2H039NXXk9mO+tFmf%E2|bnlNIQoQ~X z`vFMYg~RR<@R2@~c>&c~xIx3LtK3iz=SRWRUaBWwgv1rLet)ZYlh5#x{6pC3A>!Pd zH7j-WDb^X@7_@lpjP%;@nPWvUYUlSq*zMMc?VhiruhX)KU${__8Y9j!sutjICBGiUWZ^=AbmF{V&p%>F3MN8a_#Jk`?!*z^LA=KTfrd(BEFnv|E^TvArD+PbhQ%YiohV1`6ycI|ODh(lmgq(bLHF%}S4szqR6GkS^#gFB_Jes>1e7GZH zdEcFZ))Dq*$Xozpf0hl+oXnt3mn-@9zWw0C%CH$O0cnkB{o6>zS=Ue*5Sb`oMqY0v zSn>CaK^!j<9}9zN>xSI|ue}G(V`lt=u^00$>{wD=N%0wzPv0<&JCIV6FfYadd5?6` z;8}JAxFb4ZFW(Y(xr1MQs!$z*%@}-UGbEl(SZO^ldWQ2GyHl!+TeqgP(8%MzaZ;@f zM?ji;TM8;BFj=wn8`(N@7X{|8a0cF`^vb8wRy1InR0cMm7|+5y>Vr+Io*Douc_kO< zIeB$;^`vcM4lG;Yy%pcN@PS<=?4VRiDx}d*^Vwp>8m3PMvNA*@%rwtt3c?-bzCq|U z7WuLL(aMCSG(8CF^ZS$NM!g>MSh3c5TE)Q>tJ8=N!|<3rSV)tQ5Qvs&49_T^?f7UNf9eBMX< z?C>WnPwrMy1P6ap>|NlJY7TVx9OZ7K%*z;-OLvo$iS$wlr4zR9&0~GYhhHYXy$=r- zcW2$A@MV$@D7hs0!5uf@!S)0;g=hCizg=+@vs6AkL_&4d*Xq2&_?bnelhr%~(nS%>URuL~v{w<7*rvO;8*fYV2-~fPY>rG+yFP1o& z@PY9aB|BlR2skenMXgp3&Ga50K3&Bd%gl|B+McvWXAb)MnXHK=Rej*~jo+Rr70Sfv zKE(&CFr-K`!&m=!1C}r~^QF)#v{lT!;iqP*Th7j{D2MD;3p~v3@$WKje0?GFzqMYJ zqE|quOHj1L*Llt3&w8=sP5oO-W{6gOj~60qpGak7r0pssNME*#{-8GD6~0n;&B||` zh}DnA;-_9Wi;4JDzwp9BXAs-Y*a(&7$8ks)XtFVI#-$rWNorr*B`(u^{b)*DU7{$7 z%&7bN^YVw)_G9GbN2Fl?H3;IeuEiQfDHf5^ zfEIbb>yXX2W@!rFZ95p@~;O&!WMGn@{; zy^*UL5cbU3mTrq0O;h=f;_axn3oJ?0(n&C7uY65)_SgA38}vk>H?2!{6*4%XJx?}& z%rDZ$4gl+4k;UKTe29226}u-`$CtDvZ z4{YwJu>8J{NIHgLB?is}lQ5I;$Phw{8qqyhnJ(_~*(MB2C4E@@1bgp(P&*D-M}JW; zQ5X`P+F2y`gNG~9hep0@$$!$`SAvS5R}CP;#5r(0|A2nmnIV-&q1wp z+3_3eQHJ08JrPqHN|~= zrTsI>Fv*Spp&70qNMhpMRM_{<95Ix1lHDj+@fGr;o1Oj$6L^buDTjU^kBt!yuv8hN zYty;`WB@Gv8h$v73a^dyo0@nUi%mKiyhCC#H3~9kD->-N<1cN*KhBuf>%D*uUU<(6 zNHMcH3#m@Ih5``Ko?cM>O#PulL*OEq9YKQT%d8h}U~P26VTja(ROBkl#$SGAqw1gw z7^_A%?$^@Ai3uduuBlB|P3KHnJ0bkMCJ)>^MdvI9`R%;VD+kUtMV|kymOf;^)~zbW zl~Q6S>{H0f&VF~?aghA51awukEf7Sc)i&-NV|ggF;-&pUViOxN_R*&Y9W#fxJ6rru zY?bgs5TnjynO5aU@jdDvfo?6{$2q#{3y+v%UwFzJ8#=4c-4n#T6b+|7t2p@KdmZX~ zt+o}~f75c@Ub^fH--p8I2V&{pjUcyx4E!3tW3cycG-c2>ex5O4)YB8bN8n(Eb$>aclNVONS=-*W0GVN6p?8p`LLM_RAn{!f z3QMg;W&%*217WC7e?WzTa(EGFn?%&jX+nF>!6xdRJ+3lbb( zSY9I>FNA#0|M@y4?x!TmmuHI{=p=`}6+*TdADMccZ7Qkn@y%>JvFe*s|ByR0o=rRz zzC}?f2Aj9CS$&3sV@Q7KNH5INuRC@O{6MA#mpi@>J2Ph;4{(q%7iy(QOr)u<@aodL zQt$oJ&7yHfNd}u8iAC82aW^B?>!BU#D`oemcR%5U3`X87x6R)B|;^GuMIRInd# z7(t(A_Z!%>zIPQrRmD;2P#&)68M8p=db^uV+_0B!@%sv_*BfyyY<)UK!0W@_}u?%ZMdN$&Nt%r$p zATMxk36+U#xv%kxzDls^@!|)xl8APPdRgXOy}=S)Go=n?yIl%y=Z=zRmp}-!e_lDh zI)KAkmI8`r60U%K?%oFpN@n2v-(i0yOJ!P2@`KI-VisVyi>ohe{+OG>bUKP&7a3jG zDFQKwAM_oP!RQ=lvb{LG?n)f{P?n$)ZW*&t*2ruBk+AHrcXNgdhLo#{S;9)O2KFQBk$f&MLe-} zfnhtLHisp@8<$qzhoxAb7%CTATQvI=73r(%(9c6GlhCmy_Gi3vewrM!%nTcp`m=fGthF8Yk0f4 z7x)C_RpW5OpiP-COZ9@ZAqLO#dZO6a92f(KdLp(;2Co%JyzU}=Rv!jfKA8SIbF4DX z>0Kk^NPBrfCWZ9l^B29i;}XlH3uY-P#n8e+5>)M4`>fo)J}pU0pOok%F`P&wUH=_J zWP#UkxG5t@44s2u7}z2}*x}a^b6~Vz*bnzNP%Ev(Ckor!DXf*Cc~;h)YyV!gD39NW z(z5o=4Nd^saE&c4llBa@--F%F>Z`9#1&ymoUm;;4U*cggaL!VvqI4Ob+l7^gK~TcY zhjk}+XPC)l4J#UDjYCg{)l<{@hS(~CGM~e+MJgwPmOW-`Ox6A8*4KMR(1QQw@yILT z+YZuih;9>E$oxL0X|LRZf0?&q$s6dgW>yEDG4L5%MyfqB;E;`TG)#OucHK{;R2=&+ zBK>=+H4U%5T~dT(yv&A9qV#5reIPY>2`#N}S`$C&mAYtx<>XA_e@q9ihFq}rU6 zkQLKOA5s}i*{n$#r?+dF5~|mS(FXEoHlX*VO{mpy zsECGCM!jixnF^-;aD;ZYLFH_-Io@s|w-9RJR8U^t8ssfD)ilZnMitD@V_D*yXb(R7 zF?Uq^>{f=0C2Zf=*mFBH{(jX97bbXvy{S-{VIv&(yV%%bAKAlYe3<{|NmRp!O07}J zpwKKKW-DS+-%-6@{5YNF;@X^v-fafg>7LSL$bf|3z;WFV1Wqs6cqKY;kn3qH;k_ti z*24}V^!w9zrUAoC)x~)iU902FOC#HDB+~OcL6P=`j6LXwKG#f~ynv{DpgqbDUuC6@ zqpu^++R>;`=_Ad9eV#&f^~yu8!J@0B#%F^{)5_hYbKhbRDQS0O3ty z^p1ksz4VVG&2c`)itFSI5mmQmyPt1{8EY|;Egf)w8yvk)oV9yaIjGcRyz2Ztwia75 z^cK)<5;A-!;1@*;k|X@Pl%fBv`R_Wjt%V*TZyBRxa=b`s1=!6{V<+OaI!||P(DQ%o z_34uiKM#!?k@P2+dR7>yVRAv-_C#5T)tAPC-%Hg?0X;qHhU?i!UzPPa)v^9^V>{ZJ z61H=f>dyqEZ^wJRiP)pX+S$#?Nxsb~hW09nzjJRTZoRGuemMd$vGE{f-%42(x4f0A zaLOmy-PIux#*}F?qh0bJAUF!vR}OEL60PzlXcR3aLy&?-X-{+se^;q_hB6QA5-rIj`V#mNtQfjiu#^^i**dEsIP3CrVMlrHNaQa9P?KA zm~smRft2t(p5auAH^WZ%lpW?&cCDkTstMqfjH|>aS>>m{!N2Lu?nFwGFi84g+#CjQ zHnz-VrXE!saXHED<1`$vEpVKc6aV~)qb(JlJbleQsNNAJ`&J*%C?YgUr zQWpYg;=T?p3UnwVGGH(Z|Mj@VniNN8`eMQxp`F3cLyu(kYMO7cVk_ykU7oHcgg#w? zBsn3;@pqX z=u_|>F{NuGHp{ykl$WEICp*jI_!A?f&5F}Q%nX)~YPJl^Dosi{34dq8?%!6DR0ksZ zpWU>PgtC1uHTaK9ExH%w055_q{Ey$+*R4QhpBFNAOVVh<3FUGEc7aPd_%GE}4G!S1 zf7dE#=XNaVy~C4m{FVHR={KBdWxB1*HukSCbkGe`hUYTHkH^91`9@9z^;)7Up+(}Y zlvi)_W!dWv@0`zprf0lCac^H$Qg{V5Tz0}V^5sOlvj5X@g62|?Se)|1Z=UD}djB`- zKn0~p|1L-S<4u!#$#-(52*vBW;cQVgT_vY{`~hZiXfd)K#_U>SqVr6n;6PDX05_Bb z@CDzMQk1ls9!*eOgBeA4YQ%GqKN(LCXkOz`i=1KRK|g5 z%F0^Xd;Zenr` zO_^Gbs|c~jpajlSSA$vCnR);Y1rR^ISz?d;Y>q>U$*h_=Tpt0HH8SaVp*LxG~ZC`L$^Qc=pjD8>%LtpM;B@{pK^?c(_DV+eB43;E@NUAvNSZA%BYiM#URyKdV zww$r8nH`9U7%eOGk|+`(gye|I#Se=p6Dz#A(PZ4s9a@B?p{$HB*S3Y3tp;gjEngGKT_-Dd{o1igz9 zp%`%H8?}#}DSSg^M!^tOntNmr#PZ#++Yhd#L%eh_5xSnUPvOM_MWIVt;#7y+fgjp10d>SIr|7c@oVekFNY>&_A;D{Y%9ly7Cv-l+8gLb5eMQ-(H=# zi&m6?0PoCVqnXd}CpIJ*g<2sb8dL$^TRtiN~JZk@41 zLF=Ilhm1GWp+Wc{4XG+<5gjq6y& z^**D-ZP_dIRO@`x>SWSIuN0L=s&lkO%bj85uU6DKP z$e+U=Gd`Mq(4tGp9pZ2=8;!>JmG2a}*x%AY$Vo;{BjOAL1s;f$}joF0fil*>S0tYLbjb$_O$Lcfy*Xab~;^zk1PY4dC5ElOJ!L zZH_}k#0~Q93gZFZyIOJj&LC=TXb6|!L{{%rmi>{3icm}i%QU|9UmxQzb7KF5guSgT zJ07aW2KKsh4`&!GVj-9$OWfPW0;t@u>m;femwaqRw{jGWp-rZvO^fg;oit8K<3ft@ z(}U-{9?2h1j}n_x8@=q_iq+5!GBoFvpJHW)>b-Q{(~yjQpP32?#_tzQd`E2Xrtpo$ zk2mO)WSqh)0aL1-y^d+qgaSM2M`9`g5$1zFjtRd|g;_Us*-NnPlsseAeZo*ubXu6I zC)v{4CRSiJD1kLj!3$IGt{$!8h@$`N%uYX}M1FW7Sj6?ALHaY@rU)XbJ+nfA5}z$o z?o|qxxYF?}o^LMnx7LA!#4H3LFxDy!ti9)&(M}i}%!1wGYj~w^`93XFgG)Y>?_lPM z@Mig0MeqVfHx^`M*T~l9J`qR1yw6uf3)%FvH{)u24P?0OuI7rE!ptdH^yuDM;+6aV zpdQ_{Cvj6P4;3V4n zAUj{^RNB!z@e~AqQBrbmsR-quDP>0N(*hf0vzuK?MLf&4hL0fRyM`4ePe-4=di3)9 zzj*hZxOcSgS$G6|^IFQ_e;u!+b^38)WX4a+d&~_?PkOLF^Cnbhhvzn<+%GoC2t_}6 zQZGh86$BMbRS`@dv#B$wViEV6IWRLbIQU3HA*761o^t-Bh)25*s?xKV)gIta7Qog_ zoUL?}obm@>2b=n3`dA#1LlX`64GFfZPJ*oO>H8mIATV}-&2lPzz2x!lA3)J^jQd;-ZRohOO!n&$0(7-$ZyB^@`Qvw2>nP%jT&&hTh9 z_GD&}SsHwYFPcWmceRAp3_n@%zA|vifOKatIc9!-g27%tRrfXj9nDMBx9&Pb?{;M{ z_QVzn5BbB^d&W`Uw&Poq@0Px+WLU$!D2{LQILGo>wozaxCVx>j%}$wH*a~I9|HLcm zq_$^xG_suiYjN+kI}@MjX&wx(MrSx&o#XOUhU_pof>tQe#4RVwqDgWd))w=tv1du) z+oTyEA*5ILrRw?hsp;TmWF-EbqhR{dp~k;ok-b@)*iWgpHchAMz3I6{evVR9+?Fa@ zfRaJIL9Gz8Tse^XLgva(CdU;#$D^0{ieNg7P+N}I6Acw7Yiq90-R}uX<&Et*%F(bZml>|zJ*hJHg#aH0TFZ^ z{^!&6rYw?&YD%DjJMvJG~mU|h`=3Q${+VnNzm$*zpYBvcbHeSUfM?aO=y}kmV#td`2vyDe01eB zpV%`jA}d_6Z*m$`qC!`!ezNa~2}&yiBO}wAFy6dh__Ac%e?B>+xMjL>h`eyNBdM%* z)qWj;=#!9oz3r4>=uUz#H%2XCi50LV^T#$ z6bdfLlR1W$6~p%3#)8$YjR2MAC~QV}$^_mXdUdx$R20n|w$HWCUzfeN%po}Oc_0jFmh8#3MJ|f4h^y^>| zoZgj)^5dw8ffKuf?u6Y^C#~IC`4Gkq(0V(%OeDf{;+%G=ONI)DN^*t_L&5Z~)#D zPWN~J2UwkLOR9S1)T4 z63F;_SbBdps@M{VpauPvol3OfW4?RbR7kU31=6lQ)0*DRA`wRK>DEB_(8J}z$Bz3+ zCwEFMIt?`S64q!2!}4pc5c~GTip=R}hMRGf+hgfM$M8FqqvwEKNYwJv)kxoJ$tl3~ zVbOWT$VME-UiaLcNUSobhBbrK2sysJa% zPm2CtH)mU(VzEa?x-Uy-@P4YiovL=IuO$k07$bq7T;!3461AAe63TL2vS;8zjRk0U zS4_pT1J_PjyZJn>NPxd@9f9~W`g1({#MlM->r_-E_3RvMZd}In+#)h$+;g5`OK8G8 zGatmoXgd((Wu+TS_cBM%Y>aGH`mzSbYuC{cw!Qds#EtY#la0>} z=WC3qAb3{?KR)BeF$G%ZM}#}oPLPy^W~okxwD=}BXpaufn+cW(VZI{PO8dHELde%a zJwR<=bQIvu5L}D=FA0@$d>Ng#O+9iquPb{vwdC~d{gyw|;WOPu(zqTQ+Wilf`Xu9p zLxGgJU$WQ;lY*rk7P0b)poI0vlsB;aM3j4|eAm;-dV6SJJs6U}x3;!;F?JOdn%SG_ zF(ug*y#idn1wO~V*OpIVpn#vCku_XR&rlEJX4B?d8FpxSrNU-(!rH=aZ=8cNnb}Lw zL*13F>-3@rOsQJw#bD&pDQbm(60R+jP}@R8_l_dn@+CIEW?=-qKvn6!P?dBx37)qT zq=|l8N})pZ+{{d54fPw|iU8-+F0+E*ed*6%0=Gs9jMpUp zDD#JSE%}ue%hT@g-My2K^Ue>J!tC4M>~E*i!qiH z&Z9!!?xHI&BTn<3?q2o%*#5rwvG-D`gb5z*z{{Vm!m{Yb*0YrPi$Wq-(vRF#$piGW zMJ%C_JoW^)NmAB$g<^Yl4!D~$HEDWdivSa?Ob@>xR-?^NQKb%j;elDD?cWktwy zb{*9mLn3p&q6Iv@vn1P$D7WIFk|Z@j=T56k`wo@}1G`W}f^`-?oaRM_Z&i@4*`SGe zsQJGXd;jHKDRd2Oz4FLQv_7^_c;;CQmohb1f~pI*+OOGG?idcb84O1<%MFM~P0|IH zMF94xH|p3yGgfwxgL`g(4|MQK+QTq=qQ-su8<8U@%$pk%*Q#nJum*mM$r+a>Ce&Ab zX28nTw4G@mG7I>fP_!K?2k_<#^_gmgD!4K!aYyk`X!)!?lyGcREM=x=?SCAdg(F^X zAI2X%cyxDn4Ab4sbayih)7@>lbGmc7O?S76>FzOY@A^fs=j)cgUW?~9dpx@kS2532x&5F3b?66l z@>^0L{3?)?0L#X9rgq(5nW8NwhP$gTscCMY@Z=N!Iy}{5vcVun_2O1_qry(*P3zb6 z@kZ1(Vc&6G#K$yZ+0?c++8*dOic(XPtpZFoer&{>n$`}@fa8D{EZS5Uof_ac26&;7 zitvl(x({gNsmw#&kGkfAT(qQb#ik#DpR4i@AQ)@xN4zRTLW}tsY&f;4sqqwqjdOrM zZZ2N-7_jtRJAMmCmoCBpGkq?$UmvsRPs(?+uHv%iC1y#VIG-j#g$n_kf%3|pfLb&$ z+Sl0`S~W0J$Qus$n@hOnAqKjAkB3#;XX!BFwO*`K87TkS5(%UF zi0OE z6c7MU6@q3PtAyEQ^jKXE!p7U_^#-(vEpi2LOLpJQP*k{`f-^yQi0}um^soWXJZ37l zTSJBHmArjE^@k}+kI5nbI5;)E-IW?jIS55IA6zmsxfD4_;{i`Np}8dL*-T?Q6W-!h zo1)g;gTo{!$KqZa9RW`ZDp2p%{M$58|loL)#i zY|?T@;9X2bV)JqHGh}wlFd>aE8BUs3rSnm=T+t9(_OfLuaF>E%2$2r7V=~@8EeD-R z@1n^gJ0CIHP@)SD<$Mj$`YIXmwE-{_0C*XWvuQ(`Op7rOD)9xU1)Ki_MFKC;xYtn^LEws}EEARtSY$dE2ZfV# z6fvc&&=th(V{b?w#1|)(m6VRDHL{~O?X_>?3*y;W$}P5O`!&&vFTUH3rfqJAp2*2+ z(^&Hohi@#w+rq3s<9cdp0<*xXrEf?w9@4ar0O%h=Zx>KBcMQBI=#{f5ryWWaHI=r! z#BF6$r3e(ra1x`o9G^~(v3TbbCrM>dL6%T^un37!;tIjgik0ZI4cX4S{B`L@!guF3Ef=d~T<|6aKBVHp3A*Cw5 z7j!BrnNClOS&&(R!FUfKccSXPJBjd&Ed}QX`l6+$USNTrjTxMjI z0)r-%B@o$3f{mlEcwDK$>)e#Tn%bR)AU=Fx%R34waJ3ha?CA@@vb!^t7TG-YR1MYXV4mViQGn5Z~;$+2sH0;fc@c0DLO?Kn@9{o!9UbH%p;Cfxf93fIsLk z0euGGQ7rkPUGV;WSm;a5!^1rqeZa86?65Z@r;^Gsu`|LZIRf`GOalY_zu5s)evO~) zWFvL0hpl?c-veRxaGh@*M!O5Wni(JLw||^5HX+8lOaQs_njKXm_sHvVhCsoz&X>7I_Gr;eD z{`AVN_mw@B%66>IMT|xFCmQ}RCXL^e z59%EcX3~i?jH70(V-S66iWIiqJx>`pV>3|k=|!dh6W-RRt49&WkM!OZ%|Q+rek?5f ztW*c7Ag^^HVZM2qf577o7O0y zhZ0}jVj!sg%;o9P4~dbcvd$gaB%@Ug_{1O<)YmV@qyk0%h8k_D%1+JjHU6OPEUfOj zcW+dtNOiq*$P6md1n|f+ zAzhdo%qIG~yZ-Y7<=<5uf4=Eioca#Sww%X?uwmIvwAQs|=fJ&{Ra!mEb<&>k=bpgR z$}}l-pAxZvM6c$a!snAAA@pEQsk^hYvzwcy<`S@hw}}m(v|q2KUqbK&vP=60GYLpv?(VRenZG7H=c_CUZW*@6mEG4#Ge^o#yy%Hm8T`!q z6e9LY0l#iyUOJTS#qPQdu23eV2}u7iDtWWKLg%hMG~9tqM(rpIFIgYQ2wKENd~2`M ztY(lrAC%0@ zb+((1Bixfk6mowzA+5hxG<4VZvDP>lXW8 z?h7sJ&xU+C2us&lDOo9k50hTM9{y0kioQLz=jo%Vhou| zkT6!I1hrl?Y#LWwr$#ICN8yy=Bzgh)7v+@9QNk+$kPZR9CAE!g!1$b*Y>{~xG4jq&gZd~FL?;WBlB9-(qRRu z?kKj6AEl*#r;Khj&;l5<;gKOjN9$FFqQ^4LK*$&}j?-Yhe-neGt~qZo zIU^hrk`QDyNyueGt3F4Rx}6aX6Gu68^O_^_>fHcE1tz8m9tCo+Dtg#QjDcS((q@-g zc6>R9ei&nhNuT)m&a#>?Pyo9e>z+b#{))dK=>W>+;TA+ek|-X~!HJNfM&J(vlN%2J zB2T?6A|!P1V>YLv<@1@=*x>vAW%LkqiBx2^x;$j9p?2sCFEQ}v09qV;19aCFk1}a~ z*UM(Pst$20l|9$Ih;|yE={L=#vx`A$|6~JqVI6q{_3cZh?n=La$54|A@|{uNk8ylM zuw_M4as#|UR$;S^Yc5VWFu`BjLETlt6}*ga%V4w{?V2W?!><_lR(xfU;y=@CcRAQ% z?<2e4XO1*!;|AU^#}lRG3QC(Ku{W$5DQxXr4p@GB7XpgV7E`|d&h4BBnme(X$uzSK zEwX;gstp=+x({e7eXMpA*?0pwmAkgHOk=Yp{6{2(JMuTe?Z^8Hj%&6vQ+9B}CY&JUjS{7@atQH|Z zo=WHA>K<-1Y)?t*$R^Mv*jhazo>gm5_mc7wZDoda=`sJFc24QffIQ1U}X% zz2eQ_s!=XTD4YUUD>xH{1{X>?+waN1`^c(oL`Y_R&rBOhQGj2a*BE z*O=i>TG^}|t4Pl-L6mnj`ws(cqBc+YD&(Z8O2|54ZJgg0>&Qy3e*WvJtOROnbZBJC z_DeP$2)9ccOSnJrUrRQQZ~UWLC_ z2;lq@%3QPN+_GB++Dc6>Ru>KdAt8XwMNc69J}C|V$tHRJuc_mIE3$B6vszBwj=v)@WAbO^YslRac7?Bq1tZ)GSQ_5ASirj`I1z6*HpSAyXu!f|l&!02b zPv*zNAU<6(0;7Kx0k;ThPiBGH%>BI^TgVm{sFjbIH#AV^h?{P@bmL!8(NrI@SyxDLU$ZJy}S^nW7>JGCM(z>YwR4? zjE5=ZhE&IbGPtIN`f}7LYue$}9;Ey5ZeOl>oorK9#f4;=OU;_pQEzwh*~;a<{@NeL zj;Qq7U9Ogss)*dcx%ORe3DhD(NcrrP&A+7@NFeW{NpODrAS7kgV!$%8$JPcromXn3W((Az zZUP-`6{ObRRYq5V-xk;wZ`YT~u{mU?05XRd>Aff47M=XJPgx43nq0CBvC?}B3+jii zViml6d{CXh2&5FD5M~2-ErF4xkhdrzNW_H>vW7G9mca<6_<~I%XZBSsPX9W`0}`ecrc!^`2nj`1Uk?GvTQPl_q^)B z^yJ{WjSm(fYb4XnaNsrEk;)s?+sYX~r|R;Vs^Y6QD@VDfN8F6hX89Dt@wI=#m`zhp zR~J|$FE>}sV|Q~2S)oYSKN`x;g(gRQDg+jL6yN-8t)}mZ8J9uEDnj~C;_RoCqv&!Y zLK^#&!vGc`e|=4ytvhC<*wZ&hUa$y<=VrqdglUAg)l78*iQy8hJw?FTj_FHCid)P- zRg%e0%S5+04V`X0r*ejpC%PurOb8ZOr|YdvY?RM1=PH@SZqsX={W1GIThA}=2G4vLqBu#-mMy4jkqrMv1k z7I-UA0n_%`e_6YRyt}34%qRM0U(=N#H}chA*E52k8VsF~aO?6dH4IxTVXn8y-sZ?I zzSl{-jJ#Y-o>(-`9jI))moqyCdJDf|`zc*FWJ~sx;KxN6mmoOy&SXg9KUQ`OExCk$3!z zk$lp`}s3S*;Xo6W|@B z@qzjtgI&C9sKVJj-h7m;H1-+_1xAJ@;u!ul335WbA4Yvh=UrrbQ^B?QZK`>&@5xS4 z`KGcz?>q4&>F5uayI)oXb#LB)sbC6AK)E3v9N%Gr?CZ&HP64`mlz9C)kpdq`sDzU+ zcGYUmg@Fi#e*P6@@}zU2b1`*gZC|t`Cnq6K(6RB$dW#LWW^*hoivAx-Jr?a;X2NZj z)t^z7>p6+>A0%u6+MM-b?i5R#zo^1OkuS+S@ zCIj9MtwhANka310`=QChKLpu1ZIWd(Q8-OOO9> z8S3(9ZiL9EE%s(HCidsdR?D1ME2Njt&+hAEHCnCfvM((+I|0wi|4y{(0*YG~ByK>* z@27@kf=TZXsi8|3{dibS1OeR zd`_!}MPN3Vwb0r*Hd%UXM`|7f^sXvmw$y$NWPFu7Qwi6qP`o21a^cXgW%;wg4gVokWexCTp;w>gH9z5Y1{)okq%LUqY<8?Yj(qa(fNZeODSmd@cTkX zYB#SDMl$IcW=O#%QUd@mZsc<`o0-7Z^|UJ><8*A8p#)fzKlxs^yQm~YdQqB8Oo5$3 z5t;qfG;vO2^T!#*T;xxHMPDzX6Q2D%2H~>exw=pgC{dxLqi^d5nXigVwpax{J4}zp z?63YXaay=FS*v`*#T?@;@)<%5A|H3}7L@6ZvkL|Ci=b5n@u zwfI^PxyOXqam8J&62VN;Ih*t3l30cl-Oro4Hz5HIR4|!r9=KI^= z^vGvHrmCq)p<}4cG$RTdzo4;l|DWT5s_6>g!U^RHmHSGVZCzda z)~|m={{1~!7@1`;5g&h<&>9+d*e}r44c!JNBn)#QDxkm6)|;T}FSWFzMdU@WaYvpl zO$D~A7VI{^`Aloa?& zcly$w4H{A7&@{$P4(pFQ*62U{6&eO(lW9Xr9cbi_rR{5U6-Cub@|@QSSz@ zq`RyBCV4a)Oc$|GZW_qZ(wko4$l7Y3RpE-r>*W#gf;7znaaJq%ha*`HY+-qWs>0C* zp!zJKP$Oe%^waQ~{}i04YERk&ZuTMo%A03=GJ5>Xl?bxGyum9;jj$}?xBM3+mkTmV zSU^dKtl|W;w3kuzewk!bO^bz9ff47Srn2;LPhBwI`m(&0E~xFik1@D6$B(*ea@wn> zEQ6@V$ShCT3lBdE7^OlpGYN92O^9avjv;Em0NMm&wwE!60+tH1y!vb)H2hB=%wt^f zd6uRt$Jr{AYXBP(n-+0EbKC(%Y`LAemk1XJC&LKBBS^T|v#X_`zJ*y;jYWeK>GV zF2g?$Qw9{DIx9VKXksy+If1D*(ZQ3XzgRHF&ISNkUM)nYRa(3IJA}MZy;=^kU0zVW ztAaMaUjq55qo@aUm3qeVLF064%Og-C=o6}9#7?EAD53G8#hZlD;`))K&B~G4o^=Z$ zt`(oo+pe&m4}-bpO(t$LSc4S0M~aFLFv*P&vmP13Sm^o}!#Z;t|N=N*lr z#L-EI+$?K+DUcJ7+~K!v&_v>&2+nl<$P!c6D&6TFmn#(e z0`*kvECn))0IA1snM-a!i#CZ&963_u@1UhO(V~n_=GvqRTovJqa zwY5FlCsSasd5|8Do$Gkm#r@Qo~)*nhkl**Wag79ib@GqQ`nT%XF+IVKqw>8S9|sh027CPzis{wL(hPE z1>z(ClGuNwv@O6_<^Oa5D9-BjYJiQ8c9o^3X4TRVJfs)Uz3eOiCj_GBcj}g0qDqgc zLcvHEh`U6KPal@zho1Xjmq_Gmx*vp864jrN&djTKjfJ-8E{VN8j54pp|B$wP2=w=} zGhvwV*GV>LWmL~b+VuSU&n%^_tfjq$5QVRew|n@Z3SqXfn#w$BO!Ut9sPc~m1#Fw> z{-38DP3#KkTW$NxI|6ahQQjmxC~`)I#Sm39sBbOy0gpTIc7|=gyt~5zqkf8$0|MiwMiFUk7>uX?AUf|uqJ zn}a|@{ZF-HaKP1YvPWOy{}mfDd0Md0-hSnDDmUKp0xtP176+m9Hhdl6$O$*!$dW}^ z8I`Iu)vc;jNjW7l%14Iij4wNv5S8Ip7Tt_xt_L$5^Cg%SN}c`^*$EU(XAu=E?I)Ck zI4Ektyz>#f_;zw8nQ#m)KZH!@;+F!0FbT;Mq3=rS^2uYNn|<{;6-lOkZ1K=Mx98R< zYVq{)-S8H?<;d;2nH4!U-LbqeR>sYD(A&bUO0LV<6(QOmivyhIonzISTnTT zKg>pLNJrD}bGo~Y>JmE(ePRzp)x$G(eZdX=3~ZSSj<4tEuFZO1xzC2of<{|U?!Z`~ zpKO#C&Df5P4lt$Iug6~~P{M)jzb1}x*W=&0qCdWZ(?>2FK=SAA$I}jAlrw8rz|&&y zg|4KA0#K#ABsS#9Y+#QxNKs<1(QE$&ZDN@*~fsjppY zc7J6|wdX6lV3UaNTqGzm*mKrdRLp7Z(?MmlMtzZ&(-v1?M<7(dw_Z z9onaRtauSVjrP|)MJ@IiuDNRB?!T-#3wK7qGKGIRTCg^&?v|H_vX(bPQfZRFeAf}H zyq_Bh0PL_s_y9!<4+tZ!MO@*zQ;j7^D%3Wj=7svcpUm6euXC5Hy}E0C+=lOz)nbfomlCF?sRrRf$wT6Q3^cpHMs)+hXqrHp4VWbU@ z+d`^3<;c!|=7u}h<=gDSKqsR8D6a99O%ji6XcwFISwx>y$rmT}cLEpJSj%LWW81?t zp|nb2KYXB620{cmWj;sPz&-Vn;E99gHQ`~&U}W++OephbOLG>*s(tD0pF`xdzg??oSe%nb_aj zQ#SW)hLp4n#FmidhciC$W`pJX&1^Tr`x0&glXzqGKT5K;ntnUnwRGcj-4Mqc+WLsY zJItQYe*>@*R%5Lfn$IWul;HL@fcpnf;sR5CT?qtPq|xlIAQd)7spGv*A5|bhsNe}X zXJY;2)5V1o?4NHyick2!4uHM@*p(*mIXD3Ezc(&K*@Lf-KBkSFtL!Gkt)R=9Py`#^ zYacyFt!uPT+wsX1958Afx)Jq#{=H9i^D6~qD)m%LTZf^1RwY$`=V{4wG^M{hX>yt` zVr6eAp@q&tVadL}p*Jh%t-?gU;=pXkVBt0HzUdFJ8OfNSf>C9M{duKBVoAL2w%3N* zx`PzkNZKi-)HgXly3~C}=cPBxq`N1!n9plpBC1TERp1#cT8*-?>i9nXUjtG(?iRX( zA}XZS!@vP`O?S%~s5lq=Fl@*&UfA#xzqrWlMMEXG3WwaHOvP{|d+OI_0{ZzS+a)Ks z{JTkIa&j_22mQ}L0BofH8?m=`F&zUNwoSk`q8ry!Eq?CksK$aUH3NiKDmLoYXffF5 zA;Q;(10s#kr`w#LPU_&Q1bI){Ti_AkzW{4~?!2GImSw=RS1CVHZ8Ux59OB8;Au&%hjEGh(e2~@yi6KenzQwYE5D_w@aiqw5bJvJ zM#6`ZP&15bcbRPOrJCl#y(mAWJjpexC=SCq(N7feO3djKz{KtS{2W<}<=kjr2XDdV z+?{Ci3z_DmB-}REt#Z~4;&eSr&hFP}4{exi)X0DwLdVa=?$#{6VTvqleEhl3yM!vH zn+|=vP#N(uyoZwYCbB4TJU623bW1~bpe<2P{&WsJn}pJzs^4Zr(fYb8jR*_~b;Tri z`~p^dRGVw8TKqtI-;uT_j_w@Fu+P3}l~QjKgg{M*t2DLOil+V<3|`EzqO9&TS8c4( zOrk6>!5N(2kYx{?R=UY7+DCmL#OK;!QeuPsl*A8s-kWtxkcy{hyfN;A7nGEgg#W#| zgz^G-g0r(P<=}+E6sfYZGL3I)@{nI*OJA?~uEcLJ8!Ur9VJdOZ1G0oln_s1C7XDkO zaICX!0^%{k{-N=%#Z*C;icqt^#x}~LWRnI%;7;7-t{2^rzAUyM3n&3O%+gIln8*+vSY&6UwNN=ebaRUxlQ^B!svupS zT0Jq})rirMJNL->Htpirf-YqEppO$G(e=%>hfh6jcW8;XIJHp$Kc7!O#DSurONjeY zozFlZ?|n4K>$46ZCvT(uxENMMqG&rBZ%=n6)pskl-5Enff969i-O&v4r!#y%-ePB1 ziGe+QDn~vAOgX^;a>iKTP522!a629XRiG&H~C7E%?65u;OfAB zTFU0tO{5>1ptyc=nfaI7SbDaoMGB+#zU>Q>@V>tT0^Tdx1wl!EkErps<5H~0QmO*6 zB&#o1xxD8rwa9@)3Jwc)zqm0!h1t0m%EkM{j9CZTYeW>=<19Z5OHLnUTn;V6E>kly z0#_RVg#c8%nqMUfq_vXHl{P_8b>6!D0z+OyHK_-qXx>TzvNh4~o!4do;k_`_j&6P3 z9d~WB)*+!^BEOP2qeHKxSmxKElAY~tio2j1{>zmMg@GOkS(GW;Arm=z${(3;mu%D~D@2 zM@LRVzxSu3$U=j})X}q@=pUfEe2eEV9Ng4q%9FW1VRQaDU{pu5%IFt%#JeC?F$=$~iDt1gIs|$kx z!+~~TPg~JJ@c}JGK&s14m0x0rjc0B)dO)kZ?^77*4Ol4F9S=2lx%UvE+ANB2c*9D3 z*@)MSzmkmy>iRrLu|2PxkprwOW=3)8;iL5sM>&_lLBnn?$qGuQF<`2bg&f|`)1marSEFW#Z@!CXM zdKX@ZGr7x`Hqd*?)e&&m;5+aJzRQKa%fo`bwnN#(MvRlu1F$JY>Est*r($%=$|_t(w`rNB8QprUR2PLYTdB-w5k9r1h0_L z5H4yCwz%l*PiRy;4|sy=DVn6aR2;(KTQ_Jo&?ESVkjpBL)AWDIHQe8oo+xv$>6tSy zmOba-j~kQS?v=N~0A2La?r-7IZF7A*%r#VBL4)7`IVGMIRkvqjjZ{;6Z?NniAmLc{AG3;OD*LrkuA7t_3q8kfE z_r>%G&!ir!7GuBcB8iXH8<+yAAKDhGEG0 z)=%>S>SBl6YzM?krQ@0Ko(}WM7t|s}8J>e|-F^SmIs*8R$itDx3$yy|TLd#5U<7wi zO(Fbee}5mC90KRitn)_}mgC3)ePF5K%~CJwQ0-irhUmWW{BreEW=8U{d8^9{>oz>j z;A5ym;Xe>D(qv_asx+Vl^q0OP#|Amm<+7(~T5qMKcZ8OGd+0vIUkeiK-J3X6Cuin}_a7ipQLfqoO{@#n zOZ}!HaS0FfnCkZB=28uKo%BccYR!?_p@jydii6^V_&_Mj%=9!TkQCo4HVQ7sz?`Gi z)?E58mMOsnWS3ph(jvI{JK$e`%o~)_V-rKSvxhr$t^#eH@lPcN-~;Lgd@M83*1lKf}41wZe72<7}? zD2J|1-T$4-o$`=<#M3!hhtQDxj@t1O2x45u>DMBgr1>fzhI0_oBW#&}2=^my*^&20 z?uYHtr(MI7*&5Z`umqlxCZoD41B;lB*fFXA@p{mZUca8jVd6bN+QE6OLQq{PQ#&P&{I zj$@uF4)HuEI!FPI>M~{Eq-JHP?eE6&A#EjaVBRPs-~92=Y9CEV2zK`t+ZFv3YpsaxAu&=MbjJ)sl2r&8?tlm{6}A~>_Q+gj2_fGSL96zDs)*L98YzuWXq#z9p&|P` zXDyV=DKNLpi&8xkz-Fl5gY9+UPV|aw(Qu-Xz=a;7%{F93Q&Y_w*d;)x{aFN(a>w$_ zvqLPbe=2QB%}_J(p~+rcDxKWyuPLS!3--j~g>$SBew0@a`mL&XHv z&IToe1`3_<7nXD`%^Aag2^?;X30}xn3Lb3Eve|mSpRtJTp~TBiy=OU5=6&&^hfG*? z>RL@7AR|YeO;nUvIWwAZl!mXrVakjb&s;x!q~YW*t1ee1?A1jt=h7limbry3(aajZ0&cI=RqU9kor_XS^qF)?XTdS%{ju=mBcR~j< ztk6_6`%EzEQ`VwST87%mBBa> zQh-B6+pMh#J;csLcY;AU;$xlsE$kB5A_aQH28)3S-_Zs~*j8rPD%MgpgALWvY^l&9 z%BOXW9FU2Cl{j0vMnewi_GRP%vYL0$*D3ojBxWM)7Tzs8BEpmw`&;(|l|KlyB4rmM zt1Yj+Ex$0+JEIn)9cSuqEv5zwn}AUQ6Tffc5KmfTvQso-%LMn5$6Q zwUSJyY%=uQj=K?HkP&K0*k-{+Q@Xp1^`be}bOAP1OXgW341I3*zuXU#!_YYjw16i< zrC{ZZtD#YLsYSfjORMX@4y>C>C=#~F2kp~m6Z2u|FAcDz#82vSL)icTID0A*285Vc zZqaSFRgs-JXwYqD%;}`>@+qz!i@}IwwDl~cta~&jzRy+D2>0VOyl9Nicw*@gR|R8v zRAQDgZer*5A~Z>dD~5ZN&-?7ttIj-wN{l!fTo0f<70cOPrTEn%Mg3)x2G0rnnUbBz zcS&BT9G{9}&q#r(^R~}aHB|BqF_%EA$l1e+cAFSP3rD7YrCB|57Lgl}f5kGJmoaHx zkA+v~bsXz|m(y7ch|**-qq;e)R&*gy_-5Tk9P|Wwg_)+;=BRCYbt{c)$Y0={AU|l) z%Z3f&8hc0D0Q;>R12Afb{$&eJ_wdtNUJ@0DD7ftN51mU?&)H$P)RRoJpGwY|%6?Cy zqkk*{s}#XZuOxeg&e#xC-GE8y&Teh*5{}(WG-|0O@)Hcvk|Dos+=F~Fjdx<Nejdf4MeY7B(0p6kpB3y2ZbLr zhS-%m%bYplt>-HR9Hkzs&_6Azk zvL6HIkT|O%1>0SwtV-$N%I!cRNDlCJb|a*?N~4p3djRM~b{#_3AT)!-VIS8J2G<+8M1s++e{KsZD;MC-uGN>r{poyokVPwR$&p>@#fR zcAppl4wVHHx=o=Pc2F((SZC1M7BF&XTq|DGs+YINGEZ%|(x|$*h*)j`I8_R|WQXXl>_P8gs#+oZ*ybll z{p0;{F~}TYyj9My4!gN2Sfq=jdxkKi4`1I9tyeeac3>0J73}Y7yZ>Cu@f2_QLBHoS>O?Ee4l6_H-T2_O>H^=d$rPGsXp7DXLJev{!r~M!fFfoDy!kq{u|L{UB z_a*Gz3-NIDSBl}YErFyZ1ACQx#WaLuh%s)+R!BHG2U$hOnkKDiofYOp;L$f=k;*-) zoHg4!VOJ%-ggfh1;IIP>21)O4m?2a7diz9@lkLR6CiaTsW$yc*RcRvWC> zX)9Uo%r`iVH*lNVTan)fqZ{3Y`&-o<2JAA?_^39lv*6^YD(uMm421yGRklmMIq!v`VlisH2txs?N4aFaDZkMl6tf)K-Dzk8K z$W7{O&Lut;aWl6@c)0OuHvn>)P$ELc_APjcg}rWpLJA=EZ;t}2H6gFt;@UI7w_;Q` zck^(1ipcO2ShLYIe5tJL=;-*yR#>aI!1*81h$LRd${YfK4evKSek+zOP>BlxJwpm< zDD*Z-)mUu;YOCDLn3`jvgdo%pU=zcw)KFWbb*{D^f{ef#RdvX5&61KTriNiaNr-TX zM)2;{^|jiKtYFW3=)TlA-RrRaO5j2Gun`K97%_|c66Bm z;f2%%#%$7U+K|oVF(zZBMUkeZ8-x8?ywcfdkro7EG{ihMY0P zW$hbGl5eOFG;rl@w#q9jOV@yiW4w<&1hKS@Yu>!XH7o1zAqD$+?kaNJs0|<-BHyjApT!HB_lV^q_EquAXb>{zW+cNndszDg&{sY%D z^xouB%ot?ke+1zj5RyYR>OcT4E1w7Ih2b1g0i*qzZE> zE^I%oHDZl}eifOaukH;`njp~Dp8ljF2$wiDdrbMfp1T!bw`r!>5Y&znMqCqmPF>W1RJfiNH53yrHLx8H-2grMSb$^5mJZ4);iCXSrF*@VgkaT z4iu-9w0H?yJhGfOvWtC39iT4J1RT8g8Iog+F?eG@lmF(wsP z_jeyz@^dX=B?{c@jc@6efz;Sf`sc&2IFKGsUAz$D--M=dL-!2J=9jM}+OufO>zNQr zFEA?DBpnEl?i4V~YVXFdIR1K-9p&2+T zsA^y_Uh588>pW)di0qH=^DZ3T{WF#1t`E~TD1ccf;{W;x1QJE=s!3?XU+K*d&YPnr zL4nu+RUK=j&2Io`k8+jT;dGG!du7$Tw;S{88=H89WMsc{dojz==B2qecsB1?L>9|T zi+2{|(3zG=oo^4*)J*s7119ASmQXC-KA&yrLH8Z=-&^TZIINa=Dxw>rHERo6{7-`1akpLz;tr z6`=eL;D5Z4W&==b4*}wla2`;T@@drBW0h<;@`h%;0codkb=Ls04ET5A`Yk17$MNy@ z;1jZNECa>Y8~gRzm8vD%*hRcwTEjpg0HU(F=<{s3N_17eikCL-|LGUcJ71=R)(<0U zLPA5E3QF0|rqkz!(_cBvqW;iJ4Xgej0`0JwZ0&%|CmTZlts$fs4NEd{+fY3GU9;9p zVR4#g9wmdQ<;9^uWNN6qyj0%BZhxfLgXbh`kDB$i{u&={r3rN&s$$r21yt;o}qf{SFCXL9^TH8OviUnYt&8%rJ1;bYa?0z^Pw!|-0yM~0p{7(6} z9s#*D(rnh%XKMAZ3VNZ-z*iyfb9Yi)4-|Einy0Nf`6WO?9-6RG9m_VT0|l^e3DU3D zvA3|9JXaO;*=OoH`7kLxJ#k42l+_3Bf?l@Kw%r+ZwjvQXBKo3-i{pHlKBe z)a#UAJC36&4S@N8Fct{l$&4_ekhI|EQpDP;Rg%Cd@&Smo=^;=J*_G&KkU1e$c>m~F zh7wnQf8p#YLA?Ip$Z)OM|769A6;k&i9QrJH~Q;j!j^o`y*=Cf z8=h@HA}91nC@StP^?>|-S&lvFiBdHOh8D3Km@RV7nE2}4ptn(%4APTV!pjA-T!!&# zF&wGuwTxoY@7b&y5FwH!tOg32fQ2>NpK33`If`46UM0kie#q0+T4}x5_S}jA;%wXW znxVgU3C!GW#j5)1SdnIJD;?SyZDUfKo*Qbl8u9cn{&Y|9eppl&e#rg3t%dN5L={+e z;kYv2f$E8O%`*Q1eRj7mkb?_k%mT+JFz)!t&&O8}^Bf;+M{L?{G8I0eJ=;p~GzDjY z{Gl+g!7e;dv1tk?La^%6ejUKH{2fV~Fz~8NfT=uM$TxvL`!jL5p@O*lf>oo!bwEyE z$&&j$!4HKlr2j&h=?s~Z(vt_3asN~w?Kc`IIOylJP+);YxIt>e#U1Y#w*)?GZ*+`P z3i5e02ZBi{5b?;>h5;`ZIS;u2=JR{&rlh`dK(tyJ7x;iPJ+k`3a-rq&NXcgGG?w6W z{!jtm!vp*wvu>pdJ-AbIsr0`#VUE*&!S3)6-y)2MaUGBSnWmO78M&N};bzKECMKc}oZXz+Nl;}>gkHayLKCND z@5KK%a})=T2+%L25p^E)l1KHh?{11+r|>3@5Q%!5U9~nWmt{Q)Wkqolv_6lsVH{m>o)Fv znWzn?W_{&A_EgIjsZ4`0X4;mGuuxU{f`a%9VWIu;XP5TsxX-=nSP4GVy_=L+V2%j9 zZKy|4-;;N&+3JTV9kCzRm2X~1cZYK?{J(0?J>L*92mI@XgGL{{qGyr%2RH5xoje>I zu7Lm4depkK)FUzy0Zu$`xPO#2kaghy%W_5nW%Fl`oZ1k^*mdB1i|%nG0j*dy(AKvi z-h70YqC^b41M_N+-*KzQAdyTq=p@TAG{P(&(QiX`y}uUS z0Fv_i)NPX9;hcQey95mR{{jche$(<`eWO!_4e;#WZ?F&SqnbRWhD8@mY&PD<83S!k z;1QyTOH*WCPXgS>7(HQ$ersAoZ!svmWB7&%Hht=4mDoY}sU6d%9R;mppj{W2s+sPt z!6gi_-f)*d(*PQ2%jU4v%Z@(>$FKcuS)|73dpNpH|9u$VRsnb<&CHH2(LqpEoxzj* zum9_QM34Y>;pz(e2h=@BX4dSjL7nEr{&i{T|GbXVrvFkZ{Cs z5mXL#^|xl{vJ2~O`jdwFM4Odg9IAeev;=RdU4u;DyYUS9U(f&6?oZoNd(zmB6RUR~ zWjDGWH>}=O^JWtS{JHFQ`!N#t1U@4kh0kb>>&^o6BsGDL2>bE=O(u6#7TVW*F7qZV zDA5w{;h=O&BoyxQ9?L38qRE^j#RmmV8)OBDL~qTtmAxUr&2#)pjgiQ2C5e)Nbq(}B z>yJ!rt5CD*p_D^xRhhG`+uWtm)$-Nb=bN{Jgxdn3DCt)(rsuKRL0_-l_)# zDH{EH#DuY|8z9(Z&G9A%_XC9UadK13EF)}CKmlwwXk#f4`IopN5WY{MFw3muOXAp7 z+T~MvRrsp189$A@HC?^-vMiwab4dWZ^-}TY_Lh5s=#xX#my{N&pI_BybE|DIVna=% zUx6~lM|VDwK^wwAg6|RUF&lG|2 zj1ActutkG3I$v+*n-uul#tXD|FMsvpKtcL%a*$s3AZj}F*Zy{)4?80B zs7b1QrmOtg6jzT=FW~~(_H^(c7Au>nu500#R|dw=IIsS{>Q$(!2B#g923`ont5CvU z_NRYZ3!wMkoib+R9OqMXV5wi}2w=Y@*5rygYy#b5{O=bn%bWR$Pja4>swOmA2!b@e z0=YL#Eun1HG5dEngO#w-5@!lg+2+}xe77RiqF zOvqXR{YYP0o4%eN5HUB8Jp_JQtYL0DCJ<FiSHAw3voPcbpkh7$^O({19x8^K!1))ua z-GO^MT-pRO_H*4YAM6raM{+JX(}G^2*wMchg2 z2+&xc&Pa^lXJZ4e~{h0OAib$?}Mvp;=hHs|@ZAgM_9Z$r(WgPr3;^@;|5a!p0f z_1l@UYOx&@j^3j6JZOL(5N6jEffecu8?=I(nIPlhJ4@e0Nt4?hLx7#CC4bd|)y+FH zNXP>a18(VQ1P(3v>GWHG(@*R~@3Ucp%fl_BvYq`SjAA^!7b#ZBSLt~mC@Pw8t*E41Ean`!gj;ll<+eLq_F`qN`@RP_r@y_I> z$V}i`*q_2ci|1lzLiwf##QUd8%_ zCjzx5o`YnAQr79hK52%!y22@L+@JGNsDgVFv%?oZwUTUmparH>@npWK-!D5mJOAMx z81e&utFJFFFE=+gf%#Ki>OhkRP$*51`?Uuu)gf*W5VmMl0BJoyEe?#yD3z#8n!EfH z1hbU6af$I5(yn_rmefYZ&ULp{n`+Iv3HW~X-R6mqIhBd~7h@kYG()*2vNI3&34i`w zXyd0a@+gx9W^GZJ{$b>+1#GUdRsg5$QEQ0ntm7R%74Rk+A9$U`M-I>B@cOx-c0=%L z3zaWt_u_RiRQhRiQ3q?c^(>#7wU zBI+n}lO>K&(GoBQ)=aiP*uv;aCi^JJ{n;f9cA*8Ii& zssrwoZvfa24s6>G844;`+oAteG7YKskrj=KgQ!CC8ci{`+e3xa{miu6Qm48)WsvO# z#jdaKmb?hn>cw_1=`%z4ZPyf|IS*L+@$&59$nmicc*_va{13u|j z&7TRRPXNPS*=N;{5SKRPCh#*bf&h3Rj;9YGMm$uwscyCaXi1+=V!iXu$8p;TI?u~3 zc)TyG%K$y{1-PCAW<$&Hv@kKg>xn+t9Nw_+e!y_+nka}m&*Ae`NvzmqFNR<&I}nvQ z+kK32@^qRYfr6jp4oG0L0ih&(Y`$=e57XW-{qWGp2ya*c!uzvVeP4p|vZI?0my9#s z+gkqw`qaAfz?YLE8qc>NTFq>#dPwB3EV@i>eX3v!&G`h|Z*^CL-(fNWC*0L0yIz5P z^3`dB_Ag6#U@cMmuac&}8ZYrd`iFDI_VJdw-$JL3esTTae0vLjU3~ z#IzhA9UdM!w3HvGbshJHegA@70<_H>Ab{XzuaQAOa?d=NTi+4Xq842k zJkvJZHd{~mwA8DLfsj8ma*^}v;U{z~`2d)ltmDZtq+czCHWd8nGH?#0S5*>47Xv7{{Lk zB4_k55j0+Taeji7pAo}ROLNgw$C)uC^yrLySwu}0#CHt#|DM*QjqjD7@?(yNOr*ltM>%YQ z9d&3eW`3iwG2tgd!CLhNVF;N+ace+VZ-?yX%a-@6v~3EAkFTSCghmAM=N@lruO0q6d)ML&G0 z#(93i7UDt?g9gPV5m@(U|RQS67rKxI0}*3)5Rqu)E&5NltxkPNviWx;5iB9`~%LL&A2SN zS+^($2oF54PZe!Ga+B;)xHa0?Oy3RkK;WDGq|Ia$^8NtJhPlYtU#c4Zzl?w6Y%wU$ zJ}{e>SVC44^Am7Up>NOElY*~U4i`G#oRKyGqMWV}_)SlhWtpmh^ik|>r6d_USZn9Z zuykd?o?ScH#olI#5020RZwBVGFM-$dMHyeFESnlCD$?+;marfcFKK)!JIQKgC7c(JNMer)OfhJocLE>0l_I(~yor2Yt*6OY+4GR}5MHu| zK~YX|V;5P-s=;riBS+q9YeM@HP=NUNJZO#V(nQ&YExYeIDm8et$3gDQN9_9$3c-GB z;*os+Ft=I(-&WbU=_-d657>%8*?pvBvpd0&DYm{$)XxP&)&81ckuUYiT5v5eD6jz4=>jfp}ipP z-?d?7ZR5AQD@}=xV&2=KQgUSa8Kg}lP>?-n<32t()Z9ro9#l}E&tmnQ;9nWMiRFzu zmlo(x!HKDc+jeWj^6A)4P#H@-!fSF zFZ5Hw^#3q|Md$O`Zk?HYRTaLfs;V)WSlH z?Fa3w$*&KG7Ek2$M}WV3M)`=HALHU?th{3;p!B4g~6PPy^p1+@S{{1 zBIRF}b!1F0o%2GMv#V*Rr$#${x2Q=OBrqUo%m@w5QB{b?w8Sn#)99=`28cn>2$9-p zENl{iiEyH-KkSE^{+z?!PAUznFDvRbKIY{&p?TLQZ%+3M z$BrWJJ$ZE3noCsGAsI6b6GkKu6UubyG+$)6RagOvwm*m-8-=Gt-F@tiwNBzqqp2U% zIh|VA%z%EE3YTo8DI1I=+brTim5NigIJWG9@9-< z#UlR$DYJg$2Me6Fzh4gA8+995tsPyARh|9Z79ZgnpMONLMrIn|v6ruZx-~4u`()D} zfDW+}8^AriKVdxxjxp2}b(DXUYF_5Tl z%1#KTg%)7+`DNCkGw1x_rZ7j+_9u@-#tfV`8w+Vvn1QZJ$4qFA^;4mTDL?up8m7Cl z_mXI}gnXm7P2Lvl#NjnTiGq=BME&u~FHEI@RpK;CCqDqL0V3K&=!#)DzXQUe0p(x0 z!mb`sGr9!S$8jDka3vP-^X~t4SXb(Bk35ENBsCUw`h!kZN9%(~wYjMb>w?aLQ@~{g zv&2aXOFTzSQ8Vh&sF-@GgO zaTMzBz{bQHj?r^5Omu^^#_Vx^>-_gQL!=v9(`X6k&-e)wxp{`5W;a-uAhTiP%IAfD z1KAiJNX=Fo$nHl?Lz#R_T;OGTCOWE7*)~`Oy3CFMX z$H4OOe>kR^Ym*F!ZUG3qs_XtWJiU|Qha#QXXGu@b&R~K8i}+UW?dd%l(O_$JLuY*; zs0YahJkGcuv=_9hY^<^-O#P`7t;WYz{jr$NHCS%x(C2k6%^D8{q9TP?`{VyeEYZHL z8Y$0aYk$oUZCa#c?ci(abWew>YB$sRF*UQz{0}orjZrs+9lHDz?6|FRrLkit3e6V$go-Z$U=VZlc3loPsrYG9BerIo)&R`aT>IB4&243Q#-ZB9j;0T1%uU{S=T?Kh~=+e*t1_4J@gQWh} z<3oi|{$8>A1~jm?Hm!5NIfxqxiv2BGjz3eVq?r8YEs0HT6p`-Pe(Qn9g*{{(E$2Ht zfSvXyjvPqpO*TsBK_b;vgHqW&p|;F90<48)_n0iAn&dP}%lQV%DGz?nmWxb|loD{D z>LMhIRu07&(20{z)d zU{9dnd954*u3;=IZPuy)uJiis9_@Ozlh5Z<`HrrV@<#QC4?{~qe`p7|{};9Iy74Vr z3$zc_6aEP>y?qgpS=`4 zAyFYKON4Xn`0K^~zj$l1CT5yZ@p4K#hpD&%k_Azv$K@98DkQucm{m^sj@H)k-W?YC z)pd8OBI4X-RE9ILLg1qfl9~BR(G1r6B?4%px15!}#*f_fcR9Ut{?1zlL!c<wz&-a?=6m};2%vBHZP6YrKQyHhXyWbg zxIF?QDq(~O5pp~mkOBtyiXK*1{2oluY>GIK92z27_qetrn>Y$*ZwGpgvS|-!{&o@9 z5^6oVEaZ0>0nM8Nap_C>y=q|7KcBt!3Qx5KY8b&-Mo*bKFGx^00KYJDZM0lwOM9!v zy+Sai(HY_B7PkE+avxCT0t~%#axcEvV=VOWZlfvGl-qXKC_igq0oRd3z+<~OD<&7(q~ ziZ9{M@wwlho;>Q7>cK#FQxbL>9w~UDNvcHKN$ga4Epn85T0ZJb1v)2CTeNA8_Fv&Y z3bYiiI+#}mzda@(Pdh_}hXq0FmY5gNUjr& zH8~IIILl^YW`#Fol3I`^Wg)IQ7?fTCE07eNahN`1v8{TAaYL+FnF3qpe277M~J>|brWa4J*Z zF-4~v*f=}Br4N#NBmEU}&iUtF959h^)B#?1kp<#4VmxScw!x)FHP~orJ9&^0_c1oa zn}z+iWfpz(EWNFEZ{M9LlH~%%V}MQrmCO*QeJ15#*F^C=O40Hz<*f5+;|E6xqw|}5w-*@I%a9`+o0cF5D3m)^hb90rH`nK$d zy?q61&)!`ojiiv+7J+SteFdOl=R;Q;qLN_5`VGbpB%uiiIQvSy7;~L z!F{1!)3&e12nolx@bVxy+K}HbOfXJO#_X&er<+5+dR#TH1q0feb<9r!FoB)@YZX+8 zAlf=R8%9f`d7vjNhA^fCcjpZ3RV*jKFecS{19-bBj%Wlu$Lx3jr5ucQwLlbdj{-AW z4Jp2w>iK5>n;YJkrkBh=uTiH1CiF~~^8#b^Yo>>w58j3uA@Lh$C;WYeK)reTxGBfy z?u5z4Q!jzguU-9=5?O|nF;}H+flR{|#i%Mdjw6V-U++%w%bklRN@8-^^@f_Ze#YX} zZwimh5kE$^4_7{ZZ2S^op413dw!B83Y9Aj68>dM_xOlx^PhSEKQ{MKabX11|$d-_h zJl>c<;gpnA4|0C>mmT#_E`vl^ePpD^%*Ra87;V-YTjXt3cNO+G2rdw6-cPswf44V2 zVei#fTDe+NX&+Ck!E(g#ny`s1S*0O}XS2b2s`if~Q1MS2u?8xssKRoru+%+zt#N!% zxd)El-jBP9W)5G!YQ+zB%ycGC1Ohw&vh6hr)ORjyF14Ws$m!~rT6}h~ z$wSY%MNB0lbddU5rG{1%PL=MeC?03>yo`sASN(~CgKq%*fpoDxr5sNLC__6#pXAB> zamnIja&fwt6#X_I1=4bXoB2vFq<5Js^iF-E^|v|Fd%>ev(Rc106vOblbD@6iLyMD6 z$SrYVGOgue8$Lr}xg!N?ktW~s4e13W1j3n zg6N_6?rmx7z9kN+&>0}!nxY6ORe!Hf3CuAN7)%KQ5B+Kb15gNPmveA8@xx=$T}Fmc z{fCOnAJjs*YZSJNJ4MuKT`uHT+n;# z8x30t=y4w`Ap`AlB}>+63Dzw-eHy8sP<{gGTCsHiy8_H;z@2($c$;9`bcPY{x={`c zVaAjByA^li$5oKz7k=x-Qdi%~|XW$5rPwaTz@l z35Pstar6Z6(96)}KAx?4u2Q)(mk)Ofx4*}ZQe)Rr9Hj})u9&x{`Izd8+|q4oW4S+U zsH(C>8BzSE3*+e|A9w%~?03#0SWmR!qqESmjNPS(SBim)1`lW>5%4!(^yWQ=vedaL z=P`6cU0n~gURlDMNjW75qRv`qX#e@!6h+|Sp;DuovQ%Of^%>qA42Q?#=V~m~%7(T4 z#Ym9&$VOy%i*TTgD;d#JB-a|tq#{*5_~=mp*0z(32V~ZM^3G_ZN>qYMNQT<$n1V_R z!rz&A(9uH>$LMVHfzL5s;1ul zarY0ak19A9I$E=RZfbt?ui*EhR;#<*bQ8tm9}MIzfC6+OL10h53yUkRXp?dC#1XqKpG>6r*8=_HDyMlJiQVA@ z)}Q$NKinGoGL0PU$1G@~HGnHQLJKoUm&pQk3;`wsxc-e zcxz+9jZ+@Y%pHTy&iB z*R9t-Uq)BCxg63K38{UNUKM6{6-5g_gU1-B$r0#HNuLBF7*pnAt1&$wRPqSiz)+}c zV>F>@Hcjpd*vM6;KAlW6-k~#+Rp^6ZP}?HOsJE1pR_#;GHKjpiJ&d;x!HoXV_AY;d zyv$l8=)`jHQvT*8z;m#v5hGu`*TorKBue%Bhwofp@KEdFi|LyejAl5tFN-bGhTQ;} zyXL~2Wy8}6`(RJ*A7(1~k`_Q!N0_@HnceaBbnh9naO>mlu)cQIM&0nFtD{p728OE= z$Mio8qSTQ7PvY?D7tTN5t#eQJ7Ca+EPYbHHgc2Ajo<4e^GY%2NB*eR<{lqOw?QX?u z)BH|7IoK~z_KXJ}?w5$Py(ihRKbuEEebUH%$i0PGiR=dDER46gVZm3~vXa~n>VJJ` ztpqlE1?;5HYhWhn)|SKa)M5?=RO27bH`ci-vpv4f6UJkS&Q?(lNp)dprdiwe#zXK^ zE5s&x%d(#Qd>ax$HT^arAwUbk#!nX&3+<4JGcQT+^cuFKTuqfGTWU2{+WE>f}B(pWJ`>X*<@Yhx?QHl^Z`9S_he-c}(OIunSF#52s? z^K~CYDxNojPC1_)x<>o9GAnzGQ%hz~Tc|drE#Vaq0Imz6IE{KQ3u7cBx3m%ai>Gke zrJIMnJ(lsWS8#(?t8E!I2heDPLGydcK;bKZN%{hJ($;5Sk`rgeLnNwTlN=`GU;^QX zo|b%)p3bC)0>F{duw%z9#07az58zbcYje_Vp^Q2)KS zhEK=R?mFe`Tjqj{w!zbXe390#H+s6{k&@HZ7mDe73BIg#)&&C9EJF>YrNDw}y=t_9 zK>8d(2)|dxNxZ7C!@yr%N9*pWac}~JD3Pui1wHl5TGY4-g5pDV5Pf7g0-4?c*JUWz zc|i*Z-rmnzR!snZ+dk!hU2L@$a#7`vUBAQfIPm z9T!>r&#BOytu_97US1V3PaXy4bi&}`6`gY3D&;8qI*X3Sz5fLd_n8J>)iC=wRA9NV zznl`qT8+hP$FL-a^M{rEP(Yr!M#FBsaC_KM^P84X3u-HG8ttKT0w*dXwg(7hUUZHx zFXuZ3_VJB>wA2e5iqyp6Ah%}I8rMIS3O{scd{JkA?0|=_xSJNb?=a*SD2hj9-5*hR zBCtcPRYzOD*`^QiQZfl3iNhyq%U1iaQmh3J{Y_Z5a-N<`#&*m?-qK&?rAoX2wp)Jz ze65wQD?E}%I{{;iZU(0L1sP^U`MVUsXG&BByV-i{EG4T3O z;sW-GB)8>FCmCu{!`sSqFKfARW@&jm@D%3gCLlMxD1KB&qHbrYI!e`esR@|Vt*U1; z+w_(OeJ(LfYMgt8Api}YHD&SM8nJNGoOLa=eRiUs-i00bWJ$O~klZqy$vPYKe8JP_ z^@SqPP4kO61IpD{{2*f+8zxPo2@jm^7E?95!eD;Nc;ZuOX(_}7)^rT~uiRoeVTF+m zr=m3E&mTa}vDSEMz#U9eo_s1pOZgh^)^msdCrG^3M2A3BL-Z;0njMrRirw_zAw7e zBJOBGh@!0LYFajeL@+dg<|$uG-eKi(>^^C_klSlLZb4lt#@na{)U*$~@r4xhY*1R{ zmj(OD5VN*29p4sN%uiB{ zA*id@l?Dh{1PXIzW|ga1xvpD(7J%e(zfpJ-SVWUXsOjtI^bzb|^E@i_PqkTpl6CpgF?^xtKe56X zOHL{%n9+8az ziW!w`8&Qg2Zr1^MGG;T_XaIo%WaVM6-9*_lwG&^sea6Ta+||+u1`2;ZN%ocb8*iSn z0#%7f;J=*?75gJIhh(Hzy30E2Y6}7r3$h69<>sZt*S_e`>mt)4aJS;wc2jrF-{?Py z#;4Mx6*h{~Rj`qrDuW1=W6S3E_ApY6E`*}GGfi)ErUeE7_2M8Bl}ZQVskXiaVZ-*G z-z|yt!saOZh$LugRl_5iJ6^`ngHK(5S6%xLoLjdE$@Q;`FApg9iv##ruN0TbOJ6n| z=UYlkkD5APPahxM6Cv560?p6n8~|oZ-^N##0DL>`mT&sZcon%}&@Tau~?immkJ z2saR37KMgt=jT3Z46ngM%Tp-FqlAJTVw8SKaTTun;T?bA3&Cg0HT?KQGo4FD9yqJS zScH&$m~1!P!srG&5yM8e$Xfz&n}@!;qSx&4_^aFXJySr~mblhiXG$H}DQ9TEU&ON- zh`jmtOwD9%KDeR6{f%3CsQqU2^nd*19S9}SfDrFe2o|6dWlcjbjl+`3gfNyUt>?Sf zzr9(gqnIWeirh?O<0CT3llNrQ$}aZ2>RQKWey>O^tC4SMO<4*sbEroi+icD+lJBBc zQcbKBe;^fUM{eo$AF*M=<>5GVs=U4E{0 zjdZYeb#bX>i;j}HGDGpPu&z2deMQ|=Zy|rPT9Xk^ZpM`9K&nYfBTK6=+314A5crb% z0Y9gcjNjl5O_Lltcsh&3txT^*8|lb~8Jv~QPOzpN~IdYw-^)4Uwm+wAw( zT{77beTs046JS~Oe1$0%PM##A73e&|?pN0QN^ZqMK-P2%e8F}B@RsvQ{J5N<-4?PT zss~S=OUBA0tdbKu)d|N%Dd){qk|n)3JJ{Xde98Xoa>;F2>B>%(G-~oa96bXVuH`n$ z>Mj7g6>6TG8zWe^&DsOYu{MR?no4{T(vWj)zQ5t@x!lF;%i5`$EdgKtQFx|mf~?~Z zF1Gq3+g)4ez7^Qg>RZU&11Ip#T}$aLWa0gNTbXZg53uBvo(kVeMs0wZfosd26N&`8pD`<6ZWoEtKWB+fq(va>nbT;iaJ$XS;Npo zcDILX#mX6%QUpkq8EG7yB;GgiaBru0g)+8j|l$`*rg-Sa0ov400 zWqx(*)ItsFlGwkV6M{%^G#(gw%BUgn!h5ssof+HBe{S=*Zjf}tyh`=sIC1#W01_am zU9^Q1`)H3T0ywRRL?BFR|)(f^UQG&G&9dhJXo7B0rWtPh>p0H*kecP_A+jj(AY*)FW7mzMmGXXnQ`I!NZuC@a9(a zN~f~;(^8%_HW^2bnYRK4l^kyoNP=Ya_D@h>{A&K(8g;Ck^ug~ifV6=Kg zY=(ttWZvW7g*oz~^T<<`*|djW$uj17y5DNMmVfOsEMOqpO~UoK0(@h!P~YEB$reF^ zIOwyHGbH5}In+t3MoG6}wQ@B%c2|1kGlCU@NZ(tRu2GI;9$Tbcf_x0Kdv^d_-Q1(z zJKmA+`2&G+!7}&hWyav7>MAQd-NN~wFxoxcRHj`WGMq2MMd;7ByON=-Ual;K;5AEq z?V+d|(f5baN~^B*(umJc*T`5sFMOd#CZB4(U%6Znw;%hLW3b8w7-O`vGBu!F*FPSf z6Hu@4KUP|1*zzNsk;ArjUU^Xzd^$MssOe|jKxD^rVD@im*^WHLZ3160x^(TBH-zVq zo%GKf0$Y%rsr_f{pPq*2+|#SSZHPPzdgFW|oFtEIbD``cMWV=z=ILORq7TSc)DMLS zd350vuP&6nhv}bF%dhs6@)2uE8UVV zZwnFq@qI>_b>COUN_7a2`rJmX(yLn zXg}cq14ca8Gq5`$A8>PV*=uPyT7NrTS5v)3^u0j*i%taZmNNWPq*{uRzyTL8*KkNt zLbZ@7=-XO)Ks$WICk!pufmvJYIf_aY}~!iq4*V_G};RBYvI=VQLD#h` ztl|vkZti^4#6UiL^m=Rmb1Te~ts}4SA{SnwrpLzwn~L-WonP-=F*1~nB#O65AZ9oT zgWw)O%K#IuSH~Amv;vG!MbfrK|23m;(*|hA-z4tPsUw><H>ZWS*50vCg&#YV5GtwJTWOR%mN!Aw8)M4QRYD0|NSQ)3628Z zgrf``M1II{cP%m(MR$tj+|JkG}iF)0MSIZwKS zElOhO^f@Q>Js}LxGNXcI|0vUrrP;`2{L~%JAB`RQvNub8t9jYvaV(M&o6z*JZJ)u~ zS0uWYm?lBJ7M7`NWtEXEA-m*`x@=6G39ZFe2=H$qS^Kr?eVMwxHN@U};~W}s2-&Eo9vVAJ`w`ieJb}O#c6nf}PlL5QY^Fy(^+UYpz{A7Re5gT(^QgwxWyJjx z0nuXX(`N`H`X67iGDK4zSt&3Uv#<%sN^B*1m}IR%gZS{D)M%)eEGJiH8|300pK#`v z{<{>ZglmnFvwo0NzZn#n9n)K3Q`$be3#U`>*2gf7weKI3&sVpk;G?~stI&1-2q}8# zRE@dOXv9M`*8rs3T;85@1o4f)9UophrsTnZ8M01;_6k?5pYuo{C%e0wUcO4I> ziU;CYc100(MKF_*x{hCUN(fnf&6}S}D892Uq?8_icfAyC%QQ2-0Pa8U_mK&Y|8KwDi-k3%~BOAFa|?RYf{M z4|&gE4-W*vIif=Mo}F0?Qt_yI@>1}OknU*9{{UTAuNM6EEJ|2@gE_q_ZLxi?BTk3U zRG#?wn#f~O-m;!HCFn@6wgnWoMLXdS=r;Ugll&bAEA@v$%LEGJ9`wP16Io<(!e^1b z6F)5|3%(sn!V=;(>Wof&Uzx}+74&sWh!Iht2<+IG22)>^ft$?Kc<~l_y*U>fRaL(S zJYG#OKe?A|k3|i%jUn2FyHBbczh?JLR~0l$D_uTCwAuyv-tAA-VWH2R%^#}{c_3-K zUgFKFR7769{V)6l4y*{U35q>c1a`yW)#ZKkom6xvv%WnE>C1Q%fn^c+YV^M1ce#?CmFZMz;df4b6#xBv`QQxl- ztQffqwu`hk%iDuttQ_tiBE=)2`Mr@;-7uuWsulysd+PO&Uwg=kJ4y z_w)l?4Yed698~hE7sV-?ZLj&2EJedUGmttslO2y~EkoN%zQpoUyYjl4CPjAbQR+^l zF0ImCp=~w!k=OJNbZ9}9mG8S|2{bE+)>Cq09ReK3EJs%(y z6ZKF~e~zSwLaDH03*9=Mlnjk*nh^q{^S&&*Bak=p}Al##JLwu_=hL6#r+JiX$_(x1^APmm< z1drVtwYLS`HXC-vzy1Rga^cIo_zrKMCL>&?{%akk`4aUhi^2Y4%&GA`v5t38a#dry zPZZX;m2!YV6VYeA?miZxXys*GZ%0yGVRl4gV|uEKDt>+*f2uWCAz$sa4ls_F+nEi* z?w{Ye!e&x>Y7pK%aDdyY=nBFeoTL1(NHu{{gzCz;Zpd4TvJN7dz(K#g&G+5Yhd6qF zy-+iR8adi~a$ylU3_G{AJ~X1k*8`mRR{lrFg6BWlics~Rp@b;Oy>KmRuG-HmrNW%1 zFau)E>Ttv-^pN4FU#lLvXcTAl4DNx~U-YdcckyX#o|B8cmXs3?vZ9M!ojw%9*>g!# zHFmGM8#+I}_>f|&zb*b590Z*LA~x(&LDv_6kTj6WY89f6hK{y80d19U8?AhNRf zFE(ubN!uymoX>7ek+I*{o7Ls$eTGg`7o1$JthQdg_GPLWsQGHqlJ60c4+_$Q=6?^#nv9clhLf~L?pLb%tKxX$=|TsdA}W%SXIDz$F%^6GEG z6D-BJtP>9wOlB?n8H54qH9ggNRGE$4rwYbGyVJjfpBI0CRfP`)`mg{rV9A!c5e=03 ztc(HW=4~;Vr5JhF*RQX#26gf+_l|ghz-V3~UlEBbHA*xJTxTzTrq&;ZpAUU59aUWZAZ#e>TK z>VBx9h8(M;#hiTLjm|VQ1_TT9|IvaO9+_{Dp_e>C#H6b&)mAw^?@jAIR;$Dn@}WnJ zC2s@R5Ymf`(6dM)!gj!T2D93V2t`;5B%!8y0)xV_ zvC%7@=AS3##U_J1QGG(8Z_GakIG;nhAQTnJ69g=LAF-J33C7cy7IOp{bKW>KU4O8m zGOjFfq!&TwGt0q|=XE_N@5-r00?yaEr4s-EyxblH#N5D=lr0sCp-zwKW|M%z=+}+z z)659(RfqT_ZthRg4t#~TNxz%*AxgfkE3N!sLO(yhTN>F6O*ZKv=cnN&>PJvXa!@Z; zuW+94ng~s>sqyHwl3g3NySxUH5POc3SLKKGP3V<~1>=W^Nc3TL(L3ipu!*d?Pj$tf zaxj>YHgRb83(ulG-RmUu6@aR%&X2G$(CTRL;$+XSjoFAKA5Q$gS+`PbboO^NC0a<+83==(6 z31kduN&u7DS$D#ey{{e0splpS3JFP6G5G4+2M1~`VgG-pe$VL(Q>*n~8dc&ZeItLn z7c@K9TxxU0^@v0YN+qT{Re1BVQwDBIj z57xTZb)Bb_5!fQT>>V(YC@lp_@mV}>fELcc8z{lug9>$k`8<8?w^@`sBlAl#!X&v| z?ka9ENexUruzYalex=k+-p3K7oyx~?%m>k?^Tl*97Ysc>;9D)G+*oF)TJx|}cqBT6 zty>-xNJXTrvPIYbEVs8@TO1Hbh`X^Rr3+xH!osNSmg)@rS>v=JBK zM>)e855%ZhZSiEw#iqiNla6|FM58R_ddfPqQ{*hqi1M5zAsR!RlMVuu@H@kS+Nc7? zZSbL$#pT~x?MHMTf2*bXmY%Ze3-rStVthp4dhorjyVyIY!R!*CCuz zZ*$^VwypyKSAe87ifa2$YR?DsGH}80#F5xX&(O#oDz|k7NYL?3&=zn}x;%*bJroaH z?a^lJ*KEX@{!3iwAb}V`hXv{_?qEZfJJzVD;6zL(DXI+n4G6xUnCoqiJS#IA0Ny}L zOX~J8hw_l7`{$e~Nc&Z3B3ySAu>R1mLNjEU@+x2boi=4#Wy&)L`w3>$ycjS@Z8oY2 z{T88?wkZ=}Pz!`{n|sh3$JYwkTo#S;*s;o|0v0n&J+md1bRBFS{h#jHe>7EYY;3GG zG6M0h-}7H9((b>skAN6s-3kzBR^GH?OB*plwa=nA|CTPb%O4T&aNaqPi?&Vx#4EFf;avLy|=Z_;_M1h4e_UZwBxv$#dIhNqTFyR&SF%iKSFF zy9YIiP!T0l0Pgn1DM1Y%)ujNz4%zYLRRyKc9NCH%H{13@J%-}59z6zt^6R7%0>qs* zRYKi$s2VX8BDSQp$R?a~1cDdg7>RMam&>KK*?;fWSET8cN$w~3_Fl$HM_mxpj(A7t zuVrjJm@5rSKp1AsngH{@&V|M+yZkhY#LCt=Dz<0W){?XPlcH8`&sN8uaNUkvtpBl% zQBM-69Kl#*!6z_K|FC>VfC4Y6yu=eln zRFn1*?a^7~IJ6rUT9W0 zXQrwOylNd>`VRoG*O@~0tWDA$3V*R+>OZ7eE2pO#r*aaK8`E5pRZMoMM3 zj8=8mUhxLw8r0YMG(VYn1PUUK6m=~c2Ph)4eTI{9)Ttk%SRr!|h_TJs5fFm{7{#F7 zr^0;BDIW~fk0r=p^`=5JA4|86KFMVlhIo$c+$kX~R^+kq;_ifw;XgoN-1h}BSImHX z6aV{lz(J!jr4W7QgpP`Q0t<+>W^2kxiq~;D`-Ncx-w*1_@;0-ZJKOI4LW*l$I=So) z0JI~QTaPjelGi;6S&P-(;i}is0EUP!FVcvN1IQrPp8%gDz(Ie3iV_b)8bJE{MuxPOGPJm2v>>sR2L?$kVp1%xstPEu0b6|3hW$?i z#WlCVuwRFfVKc{NbOSMuirI(>h;^i5}EA=@? zduzn<-K3AHB(UMWl1<1~y&E`=EYE_X2? z9xuDUYzMH>{I(w+EIIJtL*DLCu9AU)t^wnJ64%BPgiz6O;?_~(rLxk}4(n8?8$Xkt z_$4Ra?~w-OVtKHh!8SRB2fpjP5E@lHJ|$xaLyd}jh&L_JNs8KDrm4=N0dn*{o zit!1T2gqQw;4ia`V(Lk1Gd)%kHmQ(U@LV}&*~Dx}U2F#wQUhG7e%Hu>3@dN6Q+el( z`5yVeDw*L7z+Djq4j2gD2wsP2geC+C{yNannm)@i|9ndKEoPW$RrAEE!|^fJ2|feI z_wv5_&i}mD5i$0M&#^6LEo;Wv|4EcnBHITM#YYGWnqZ{18-aH(%So_^k0HwRM|B$j z0x`!AUGILlk)Xn2sIf%ChKHiG=#!{GBH;n2>8A?0V)p*~QT^=Pw-fV&s55FZR4!#V zlh0R8Qe|A_6bgk^7T{%1XhY978c#~^QHDgR1EfrQc@Dn@z8B%bW<50HWqC%L5AMf; zQm!7y(01v8yh#Wad$qj#khsNIcTT^@Y9@|*sML5mDMU1k0Id=v5*+7%;jH&veAcW6R z_*$Fgkf+6Pe1g)lTFHu7TC3?XNKZ zP_#cp{m5tT)xWFsEm`k+^wt|otmYOL3Q{sMFRPgHovsOO7Mx79XlFP{e;K6+Li)nM z>Eo&fZT5A3>$ZQw4se^qV(2p|qZWrD8no)?-()N>!kkz&cnRP?sbY)eOm6`E;A^d% zbGfT*HQkJGK*47$dW9xRggSwaxD5Ddtu!-+9?uqipgX(pWhA`YSr?NkVgfQhmtHRf zBi8buAoOagK{7o+^;FUQTQHXRe$Y2D_IUNKjg#Ti=3$=CW^Q?zt%{=Hch7Ujqv2$7fo)~)C z3b<&1hlB6x0AY+lM6pz0aUu}3edO?KLL-o87Ed8Tgc(pg_*oo(M7taCc}6K%xo8Eq z_{FJPWTh1db~nyb!BX*S3pR%R9RHR)rC6V;X@F*nB=TMZvw->R$QTOyc{LWoc3HFlkH!aYUC!I z3lRS3Z(%L6G$AZfv$R^EmVOx*CS5T)uRl8!y)l-*!9VIK8ta?(d5PzlC&i&qYI zOZ4OS!*a#u_L{-gDgw9|sP-Mv_^rI}>+BE1Z|WGk69y5E>YIiQvgi$KHD-siZ|<2S z__^QhDhcG1PXO~kX{j$1u$dCR_q~>i_q`f10&50ekGC)I%*@*!X@!zI1B*?FYa~%c zE_@@S?1gzg$ES)d`+Yc$US_C+Ker_5V zQ)x7HN40bF&*A5PgEr@}0Z5>Fdn(N!{L$W*b6!;NK{`_WAwZJ-*Br}biB*T$cjl^6 zjf141YR@|gB5|vS6<;DU$LQ**zfK-}Adx^lEsMw_Yu$qibO1kmMATJM>PPQlP!MTS zHYDYp&6~MZR+wsIJbzD2Sy&P4nM4ILp|W8d!@+|)Be0WvL;*e||0}%I)tZ`&LkgiD zRyaU>?Gb2kQE6Vk=FaA#*2NibUts}=o=i0Z2G%Ap&p!XuhH~aijoHr`Hf>^g-uy=@ zhZbxwX+t1NWVRoizQHi6s6s-6Ac0jGeib12=PKcpTjBCau0J5d7`?@?LNf;Z8nKR*k9`^U`KS}&m#}yIT#eavun|rHApaby0-vGhZQf)$; z=|CXRCHG94<@3qO#?Aaj@U`c2-tn2U8gQi*fBm0`{_FPkeXV(+gSI*3Y z2MDn0F{uN(B;^iZzZCux(k|Gyc)s3KHHqbmBXvq<`d_0P5jD za|!dY0-zgY$f=iMcx^%dQ4f|YI^6iXqa{ia5@XmMBN0Y1qa;CIm+jC$^)bg2B5^V} zICRXfwQL-(1?-5^N=s4Zb~4A~9$$%0s-IH)mI4)k;SGdmQU(SQgbV^N2xQz^cxxEH zSC)bDdv&ws*VHcFt3C*dp6%`cYdy%7|3D{rP!?h2&>leYrp0t;qRlTRT6h*^0W#9*+b~Jwf)2doxpeE$Q-p#gJ1CCLA)-BnlviO@K zJdo*&WBlRghyFl5J+Vs*b?|9i-Ql>1f0Rb2AmWow%fvO8#MStge*f*ytZ2+HL0%xl zPD2zXEp~XlVYnWjTn7CVHEYTO&~-o@h#;`l^&G|31_6ZtK!_X|qwe&>j3T5f-)~yu zgfTZW7-}{KPfJ+=ymu>Ce$R@_7-6ySI^0c8WYRuSrvDIhAYt{_MO~o?#(}3#K}wU= z-euav=tj}ph$)K*Z|CPS=Jc<}XXI9{9I-(FkqD$z$J{Ob_7isAp1tWukA{y8DOuLT zKc9#tRs~P!dl!WWP+pM3qY&t1*xux&`;kKW*ljk;)yf)Wkrg2PBQ|==%wS?ZEpofl zn(<~#aPf&aTcH}9;FH?E~WFIiO6fqyD2+HmVcO{QLc?{PrLXS4MG3g&0Q8XGJH}v&0lA%n9K?8 z5R3`ph>rYLi9^RH?6QRKnUX!I_H5EHJv6GSkZS~!z&8m48nVS*0I|Sz5pKsj`&;R$ znc56nxKK-vjxtG6q0(v%pl`ZIJSVYKnf;#l=%M53AcVi1=qW-U8bmZ*(IWgm!!+YXG=ra zO?d89i9vt8hV^lzhvh8k4%8A-8`tLf#5+m=^qKWm@n66?A0PhovdkrPd8zf4C`zVi zZo&jy8r#TmSRX`X-6kNevfO{cwsGAr4HB-V#99_ z845{9+yHx@)v`i9jnYzAH@6neiqt|$v$LV$DmA|lL7C(IXLK4Pogg6h1-v{m!QVNpP~i7NLSylHL2a0G@Z7RoI@Ga_GUN= zxXqcKF%2-Jo9RnS?YBmgN=wHTNQ*?R{9AwYV*`Z_@mCoEyR}0mVr^s zlS1V|W#8Mos_j>(5Yox6zY>Zy0Uv?nqW^w;@3cJ2ohllDMFJgyF$)o-E&M zWUga3|21Qrs>y*$J0Uu>YF4Z^@^W$tHj%Z-3d;;%>bejhhTOg2-SC^&RfFrDJZ7Fs zTuHDOqBmN7gAW0z0+#NWHfC#pLRy?CaO?e$eOqrhe8QwJ8$S#dJKrnIiP^EDYct$~ zDp$&}NqXbhhgT5P_zUwjif*|1*_qz@u;-k515<8M#+MIe<`(>_Ahfjli9krxlQdZ$ zSf*Aj+46P6MG*>(VY)w(HCV&5@4f*=Zw!0k=^0a?>F}SfBLznYX<@M2eToQzR5@zM zu>IMfMnKF}X9?I*0d2v5K!Y51*%$U7z?4s=!*j0T@&L<%OO`ITiTk5H9xGiD-Sv{z z1=r)?HCS)evsYrairfo$vY%y&xT7C+zaIFLS4KugfauQ)k8S7>c2#Aitp(}ZU^)bn zgGAzAasp!tzMbDc=14r$Wf}PvMg6q#Klb3boW^!W_HL3FZ_WWh z;QnWbFiaJdO&B(%rOr=sHP@q>G?sSxU_EOl7)zdiRiTBrhbI0@>F27O(< zBQ^@F@wsM7#v`CUksCd68xK{r9hwjd_8Bi}EXd#YcAf!O63gfrI-4lWlt>w-H0XfUHQ%3uih)I7lXwPi7p!f>zJ;X@d(XT00dOLq7V4zaH_iGZ`sl8u4d{XZWPTvg1`rZ}k{ir- z&oRws^Na;rwI_b5n(3hJ))B@}4(B|>Eqm6Ega=#sW3zAMZ8ij&H|9KYuo7L#DLsy* z$4S%tjuUGIX76UXpcXANBnWE+9Fmm!u$XYl#A$$+tL2?}aGAwo z4a1?|u?d)kOdc@3U(f-t{AbXr6s7NxV%Na~+VbE$NX-#pvH1{^m{=Kjhxp!p+r}jU3wp5906h!loJNlK-wm@?xL;l*R zyIbI|4a$PRhJI1aaeP+Ku`xKOT}4s$1M6c&roSz&Z|hpst#U3gVA(83SI7?u!9e#x|WRH3nPMO08qPxV5cXSqICiOcjXVNF#^XT+T3LWG2IFl%H^ zemiJ9#osnX%}%a%1>5}uS;#OhoAGHFk>MDh76+JuMS`7n0OV%UKlVi);GMk(RH`kJ zkfHzc>7eXRmj*jFx3>E8?g6?fk(XjrFDEC+x1SkM)yUgUFzh$!=_rVV;=TcSd&=p` zwxV|Z<8*X%tBp?V%j9;9@8Nd;Az}MRAUery=dA;E+g<&9CeF7$+I&Jj;;;bY8ACmK zDSclzx+m63w~_jpf%^hdIMs6aLwH+E*w`ubfvQZueG6bbv)v9v{`|c9+O*dR1y)i$ zdez!=D;L~S^j#ssma?G|qQ_a|zWwI{B=Ri+DSxz+9uK~^81)Kx0O%bNI9ouo#L%$e zp#KwuOMR5lI{I;NOZ8 zs&X||wE|WQ{SAu|h_IY?zIBN5^C0 z0f5(Pzd?;}tsO4jGa5;1CC%D)%^fPA{s?f$b)JZA{@^-iKlSRd<@JPbsJ5kpCcJ-Y z$+lMsVPfl|$zH7iz?#x@e4zn6sM&m3{w;U8#L#l}TW;F;x14%&2SLWbe;}Viblv;# z(TPrF4?kNk`p)>=nP))n)8}b3imrY1*^liM`>EK z?3qCL>N@$R^0DXxH~2;scbidUPb(D&^_UHrHK!2KA~51X!&HbgU8*wy^{g(~S4n|B zUlvf`0OB_M?|uB|4g&xj{SG=?e?1m<+Osqr6{~QLN=Tfel;xed|EHtJ)~Rpt<;)RZ=MKT=pqKjVAXhdHbcQJ#E+Tg&_LTd#dtzhwc2+*UJV;{rI8PavSpvy3 zrcx%`n+kkAxsPlkoyjFujdGDe*zO3d#}h?h&mfL`Ius(g&L)Te?8MF01^bj!Ufpk4u@wUJ`LGjFhC+94nq)nzEjvgNv~HeD%UU+;kO7DQbtE*+s3?d4aX zJ|*T10_r8AA;S=KEO;+7(A2vF($`zh8(aU#<0aRKWApSWnfIAhetF8RIm597qvaen zi@`I&A|yAkmQae7Swo|uqnJFarb=*l`qi+Kn0cfDVB^vq5A6N_!(7JHon8Jn>^}v( z#sCPqKez+l7HyEvF0S6zwuO82(B8&B5b(qW83`0$gI|O3I-Y_jE?bH2URIy=u=K5R zCmEwFaBp)YHg!gx;1dMQOBD$bhb4@44y~K8+`EH!ebkD#GPg29f+!ki|M#^3F6jT* zqwSg%pSSd1vrL@;i=()%r+k`tQqUMp0+QH;e&8OW`Bkfz`z)83H%phwnWpi@K>wQ2 z5qDARK8yK4^GzRX2nU%`HThkbE+$$)lKOZa6rHgwZkm9_3l(30B;V^nms|`l+&;QiAIm-1PQ-r|W$;!Eflk6UE-RH-b;QK4*?G zem)RRz>{|RHPQ9Lo{2yN+;-F9F=u%B+F~(?(_A_8ZEz4*I`Z?}N(2?u(oc}q@(U{t z_=to*F!*0y&#Gd#C$qZOznDMplFveLeJxe zWdsdbGGGhL1q5U^x>b6OxfSCWBr$518lPx3;%QB(J20}_hB;76|M_>I^~`p8zfI)O0>bO-b z7|Ipg$_Tvz^Y8d?t^d*AP>({xwn-XP|GkE;B%L6@}SR?|Q|6_qqH8d^2Ot z9l&bIeQ6Qu)JDms=!y4BB3r8jzCoL=$Ma(Y44L_$+Zqd3_4s=?WhO_%2NJml=@X}Q zidT7`SH16ZYf+)~ax^}a(g#0m-2G3>5D;PwiegYW2alTJjgQ;g+DU{QnxBg+gJ|I) zNVy}X+5UV`nNnnk7%pr9`zdJ?!IRwOcgbtaXxK9gFlUI`-Zr2msVWN6f57>UfTr-x z%TbmMTN+Rw=ra%15ou_qUg9~_>dMdx)1qW19f6_v4sPV~G{yh503eMP;nnIzehaXZ zxjC;{umk?)0ZDAhP@ae{U;#u;U&G6G{>Q0l0~9Oh;?C^etyu%{y&S8at_rjMNsL^Y z&=D5x^>89h_;K%PLE|zLxv*BVg5iW{i4{x_ZX?B+u|4+5|JWvEcmr7Gn;wR?)KiMj z_D3qb$DqpKv^ARzSMpomk>CBO<;y-~=fbn@d)%T}hbhSdgeC9q?UiLnmDxVH`Lu#IATurbsMv@f(L+FBj{2tLG{MSO+CPK?+pK=iTwP?%`K{6C&wYsjz9!54-@q~d ze7bKW$pILkdLf35Ine_682_Z7EuS`{?2(oNTOhDPx?xehx=kJ-oIFj$g3#%AJ=kYR zHZV5Az^(y6RO(8ecy!oadFr^HwSXiXxhUzr&6%cK1@2e2M)h)IxUQcPeN5_Gf#zg6 zR%ZVmq^tXzg8_K3elnt(v-Z+JACZtheXopgDP_8{%&#xrgSUFRz}P-VqnOJeT|0cnms%>+nx}@GIvpuV3!Ln zc`DBD{85~{_GUV?ayxIfI&2$uUJ}W3dzc*{f2L;hq|cJ3qpM@Z4FT*$=4V^p8&6J8 zCx8?Hd~oI)FZhjzTnoxg<==L{UwG7CBbDZR!&>?33v@qZT+kr61@|-4(*b^!ogI$D zPD2w~>IlGUPDrB5)x%J11YgT90>LJ*5jrQz216F&kTQQsnkGMNJ$J8Uv z>bH$^ZE~fr$QMKN6poYoxM}8f>YM?oqihBxW3+> z0Iw_A;UK*TJ|xpjGTNsPP^v(38x_1G`IvB6M^qsI_CF0;E6v-Y4DG75TwiDl1d0F@ zFNcOOOx+62V5pLG=!|xSnrWtxIF2s=K`m`i%Ti!X_(e{4cu4SSYh^_zUv_$4;hDeT zUnYJ||JgS{&X|#&-VFuy&n0d>htP@5Uu0E7{hv3MkSB`Fc5#Tb4%jUH!Ehg&%T9G= z{Aeqv4Jn;DMq2CRi^COE`$j+Ij}sG94m?KB-rHK$uQ=1}wRKn_E_dZ`eqvBjN;18z zIw%!w?+aHOjZ}e8;U&JhWq^X%$tXA6S<^QeA2H+-mLe|+=;wFZu&ho6zCMdnw3h8% zs8ng!Sz8=RQxRuX{~ZFNn=od>3kKm>8_2w(vLIfzPfVs>9; z#$@HSfUZfWaR}FJ#tcASnEwJ+f%d)gJl&tRJi3CgQMS^HW0=?fx_BM!{o>IVl_!85Xfbo`;J(TPEo#t=m;TwKt?mV>+_Xh;y*~e zQT#clEKwkVx9i1asM5#n*cRot9cNp&fEq>L6#e6NLu7o_nRY3+gR+kDS)YU5HQ~^$ zR!i*&qAj72F^70UOOPZ(F+rr2$7qQ4x;o}00$5Jl$=bx#e&6p77gVhMN@-r)GX<0O z@-z{cWM~;tu40#`j#`G?8gYylF59=TlCLAGU-RTynt^H zFpK@CP}zovS(XUs$il*j9mI=Kz4HJzkJr;^OYXWPW>5~2 z&5j6lr7B4?zN|g)pW_-$k%)iPa5AS1b+#wpPCA}G*Z7N<);)xFl4vh`?GTC9)s?P> zkoys-c~EbXNtu)skA90%Y(mq6t{Zp!?kfq(;5dZf+otU%!T0%y_aI&ImAz?Z85WIz z*p@Fp!y6;GB<}u@;Fk*MsjehKHN8=I~ubg+rh9#we~!|n`}_tRZM z7rW}&33C@ODlnH-rEr3TnG2afkN(RyWnsglmC6PFAW}i8(6>tv3|nRuX-8?8jjmFX z1s=;Pel0c?#}X=3z0tDeyk4M{wU@c>lS@H;tq~CTmP(8>Rz=XL1m8rwnK2f4HEkDw zasF~n3`8c(QMvBn1UEA|Bq|pYsIhX9zs_vYnq%qPDb|Z4Jj6ixrlN`5M)p@d0*7S)OBQ+jKB3JRs6D|L(Y6x$dr7HzhnRx4X(~ded1?g?*)bRps?b^`? z0%62L`UsrSDEGFQk8Pg#A*73gfhY?c$Vd4(r22=`@MOyl4nf@z!6cDD71#E&%i>m9 zc%C;mI)DTz&MH5k5f~c zOw~xmJw|quy0E7OBCi`t0iKeHbDPh@uOMU~M*ti;{ikMESA76-GsquJElNy3;!e8u zkx!XV^TRmXm2jeEdMW5ZTEjK9j*&*!fbD>;+oNs`I!)(+sqOWS+V2WAAWwN~ufA|I z-EOfNirOl({$u9JN{Li!1$+da$iqnwel2{-O*Vs`v>U&*D*QypMSSYU=^Ub*8Pz?> zyAy10s2IGy#S2vD&U1SguF>#^yqSdwpNcnQVA@~Aj@DJ(o4e_owZf{d&%=&M@v1nN zqNZ~ukLaQ1$j_<9Ort``E%;MVW>AKQb1>XC{N1>~PX`kFr9;PQ_H`Nt`G3ze&=;1{ zPG1YU7e;S3-gjvoQ&k^6j==g?kW+ET3;dn{aYorP5}2~i0t4bFK!I}nFtitPVCbn^ zUc$z)(NKdFY+1U;8FFjnXsMd?sI%KlK8{CY(;ccTa&1V_n-p^K07(5D>WP-m561q9 z&^R?&wX}iv5qgF`t|RyU)Ac^N6!4-nc?K*3%x`a9UvEHp?&q4%o6T3G4JeC7KZ_=N zmCT7eunu_Ul&WQVtwE-`Nf$o5iMcvB5_35M&4&LD4;A_Xl@F+XsK^$R{HDV;ZXpHF zpW3sDGr@2%jx?~a-H$U-Ed946GDue5A2 z@BDkd&E4CO%7j5*fK@aWv>kUNN{AphXfw1|L;OHE*@;V0zqYT#z;PV!%Vi78C#g#@4hW;JkUm+9@kQtOGqYAmP{IS=L}z(s5>oqrF+obhojO5 z4W1nh{GrtM%vusS!y_pe8t~z}(hkHOABm4r54n>In~E^}9+OH&3_!vK(OaY3x&Kim zedI4xUiGaIB)7lBPx-sTQJsBz7)p){Q<2_wV;?w!^!Y{+p?L1bliatXU{R<23h8T8 zQBZTgJ4n^jl1g2w5l2cH{nt|$aYH_JiuE5Pe)=BkdNE4d1jC>&)L!}{+Z^TSUu;vC zLNhQQcyPE8xuXK|h*OfvCl2z!3~s(o-3hsMSoTW0AzFG#Ii@}==;jQ?1VhmK7MDaX*JPL^jb!y|RpUn-;sgTTu^@OcM<4CCIrhC465Wfl2Z7T5Lq2NUaI;)tY z#087#d%MR4?Ur?!O{JB{eKOI(`_F<VOBkHFvtaE(&!Ms~Q`|2_dhGL`K zh48=c0QUqyV#JRWQ;=_Sx!T;f4@M4u2y?~LUi2RmG4IV#Yh^frKkgbuxA4Ag5F1?C z?s4l`RW$Nc6p<=G&Ck1V&FQrVn<0l7ZorNBj%_WmzPwpH#z=CHjw(Of*H@>hez zVEn_p<5GWZ(BHQn>J5H2vInee>1Ts`Xec(x7_X@dm|gnwV3SL+mTuXfNyd7xqZ}w+DN-nA`2uMeU8+V}@_*JQo-xPLMIQLXX$ZbYOmdolBbT!C+415biszxY z*SFl5mMfN;YR}cj4m$iD2F{%0NzK^OG@kmO#DTFo+-S1fozT|Lk1K6)t=kU^yXM*N zATp_PMFIC{F6*9rzzI*JjaSew1D^9{mXL_F^K=0&iKG;09FNqh2D|bv_tJs^vSewB zsj@1y`EiG^P)S;!!HavGlZ$ESVHsVkzq5}6S;>f)S^C|Qf>R(DQd#IX*dK;F(%s3v zl7YA2Rv9#imQb)#EQvY#bjs=2-r+x7j{1;x2QX2ZWmPLsn}y?l`s28e19(izXr><* zlPaqxReJ-cr_@}fKoixp)Z|j5Mg!X5W zjgnjbHJ+Q0Ld{hby40dwIb(WFp&`#v-w98SmcKo)zCdf!V%wfjfW4)RSxo7lm6S_| zzvE*8@C$>Grq3RN`*!pgwwW(Iw_!^K?PZWgpes4ea)9PV%oQ(dmp*i zbnK|9TR|LlTgj}z6m-mE2L5*yvY{r?4vA@MKOd6E?At9zJQBE<@p56iH(-e1LwzPy zCR+v1iHxH8Vc-F%0ip~Y_57v;zzB$+{@U;x@lN3Dg8nfC62BaHKk)E;nbC%BfOd*n znOW+geT#FO?3(%?8@i=QVR^M1&G}?_J3RL92=B1%ZtweId43boI7WN81v^TtYfQHW z7ZUj0yu;(rd80owu3EQw2o$6B_TScURV57~e*OAYvS1F=)!}*rra4S#8`Irs1f+{SIk>ym)VS4;_`R_^wK7##gW;tUKD%eSN7zBce=X!1 z%3m1{u5=7PuhscP{yB+NdgMm9E`Kz~gBThz(JfE03eJblwKV*;qYoois(vm~K|wLr z79py`4htmhX5DkmmxCtc<;4A8nFvQn+n|tNF@Htv;7}M0eOT8M;z?Ot|D+AldI}a-qmuH=83R;V-)K zr1-`5$ypgRgHaI>dETha0YoIEirfQ2mSEN5r8AdYArv*O%NUGX=Ux#8Qa>*(4#P~9*0#Hjy> z!91`YmGfqNPhe@OZ(=!FlrS*v6K{qK9(8f(CN!pUWwIn~dW!X`p=2E<)|{zN$A8YG zRkAgrR+YntBYUu^sq%{Je>;U!|74B-ncZ>bDaoiNZ|f=o(ayX6C+Sgm6I#)n$HNY< zuN@5q^Yb?Om=QR#3m+h^aR}e$_A=FiVnY7t%baUrKloSBwZ>{V6(-W|nl* z6>Bb%ShLJ=F=g9V_)$FKmzMs;p~sgc{wdzBhgc}sv=(Gbo53lf~MG zUqh^ff5&oqV0`lc-qfroUo_+R!7XKvh(8vj)3a@AA#vpb*XYqV$v81Z#LmDwM#v+) z7O@lz6PBSGe%qrdBL{(Qj zD0er0J7%0)EY1OogT&+b)08APLDMGZ+p74XB}9s|Zm9yL)I#){0o}I`zQUAe^u^Ip zI59Z)sj-NNBa-kf5LCNz*)#d;>?oL z7V_azbc`tt15X#Cbz~I>v8D{?9aS|TGkOr_K$kT&Umg!62hfv}yxjKrYj$=G`)#w27TV`Rdq%?;C0Rf4L806*|NFxDl zOtO^My9|Sbh$@um-H)*~N&|Zyzo`>fFWA}wT5c@i#S!RY9*kwoQhTX$!*Ixv{MWfE zx6B(f5~D6HEz_gY*f^VW)sUMR-4|si$-n}H+P2*IS^)^P<6+3rL_0~*uln3Wo{I5t zgAC4WMU{B_mWaOzrD3T;ISOS9ts9p!Gbl_>$^7>=N4O7dfzEAS0KFEPIV{({#d5HY zOHOcpa&$q)WUUN%i0-r+GR_d^^I);-eI4e`x`Q(Nn6k%qKhz!G~4~lMufTW;4`{WIHo;FQBR~J|3 z-GwP_pPJGMG-wWFhRRO6hfd`>j3pZ*?D(_oIYDXTV18PD0e262tUUh*dLx!aa`)e_ z$2FU!#YJShKq-*Vw6Oy=cJ`ejVpCZJ&CrnV1zzN%uaZNo^Tz8shiTd;{Z)S-Stby0 zqK8*+M!mSeQ$BF%i*v!Jpo=(oc-A*JgKq+p8Ec6HdIZE3o;r zsi;^wn{4rU-y={&?|4|$l8obVzYk^K`NRLVqJ0NiZrbm<>GiY$1Sm~eVjM3Wxvm`? z7eGD8Ev>9Nyg#@Mhl!678Go&-%KQ-9jl7~SoUmv|vY~#6pgN*jl>jTRsuDgBlP8K} z=eWPd89lhYytGCaO_UM^ip20NndJRgv8OZ1HP4(?*S%2=J)$Ym_L?o>Y;t6bcrx6Ukjub_JzAs6Q_e39s-dI zp4G3Czbt>(d_{Fma^9D^|3EE0*qJ=K{bh%-{ z@_qeUO+*@C-foj7?egWG z;OHKAS7Rd^kb)+hN$Z`)&RUggH%W25$e3rAeQ0(-XQ;CM{TkoAFq|^XVR)n>jJLgQ zPZX64BPVL&g+6uG4d1hAN%zH!qn+~!p`|~y_tk)lw!v?zCPHAU@gE^ z3!=`L120LcK&>puQ*j>@>(ans2NUd*6D`7(QdBO}U6Fa6GX2W2LT&8X+hNf~ZvgW6 zK$_gWtZ0vE6I2~s3XvmApm2%8(3pSdOqegLYQcON%!K_{`RurIcVzc8c)z>RTucsTZt9tjC4i_hycz0K!~FLx%{s^d2jit%y~Os;ZB zf61e8JSNXnF~0A(at=bRh*Q&GR`vVLV=voCu)<&S8mi5Ru^8cJ_38p5y{T^j`oIm_ z*wh3(c^;pha=a2;t&q!y8M^ekn9`%?BE?9CjSbSawzjUE+e)fZA>V=u`G4<)0~>9n zlIeE2b_kog71AfD8ZjEQ4eKVgvK#!P^`0ICnccbP6hc7M$*4U;*!LrcRAt<3x!*3Sg9Z& zm=oxD#rF05iE&#}_K%N@k8krfQPZmOC_BR7?}p`XDZUX&KRpqtDT#2Y7{r=z#ey7{ z#4ii*2`auD92Bcs0>%@e=D-G{Ki(fH2DH{{w}_x2`XSr2NM(?{)UByoD988v4-48% zl5y1u=G63<=gLe@&~T_s>1C~TyXW(>7hkdt6>3%LM1vY2D+ye=6X~No?wqWHzJx3% zK4BDJF(*W&A3z_<&v&d=+(|FgI#V&01ZQbiq#1#z>u4$~olz ziYh`d(Kde6t4FrX$aYv&Z03B`go&b`%yN&|!=w?D9|~(i{dbIL3YTHm?f><3)j?6X(RK+5fu*}7MLGo+q!Ew~ z0hf@FMj8RBr5ow)6afJRmu6{@kd&5`PLT$ApYOf--9L6`cG%e+=6>Jad+s^s%2Q7m z`HF_gZ~It*^G`6a{lO)Ulb#uyMZp9HeRlM>v8PQN5b9q z<@?s>Ei@#)5f{-L^6!1iZ>Dwd7<1Q|NA7)KkI;C_^4giRN zdhZKJ>X~yvN5sM5VKj1%_`&wuW&=j$x|+7vdb;;&ByHD2=b!Y}4K8}Q6vt@T(+vL@ zJPPd4h>AOfeJdl0ZLo`83bv@8CG4YFLLcUhDy*ui0(7J`>)*?oazX2i3RE>|U39F0 zn8qIfU15a1P4lL>!R}-CGf?0Fcw?K*of8meH%KkGkNB?U^f*%-kw8<$_n5dBp)xl! zL&P^l*u&%?%dJT9{odM(OQXrc%i{@yzvR`k1*jR(Z~KMpKTwtqFfhgjAq z(H=_;m;0^)=T{2qO1BWpGvp(v z)LFFbyv)^%Ogrfl7Zcf+$gwTl2knx>=ASAy^=qzpEx=Y-Y)Ju4 z5~f7cXap^A45>{pKv^5~C@?~h3CFfA1K*--okz%{72Y11U_P)YtD3j9sfV{PE#p0T zbqN`RCBy3G-{@&&O=QDntQ%}EVhz5oit(mAPqrINlAk2f7=h7+%=%iL2`w-X;A56# zxc6c?=km$#=2`T8S8e9^4-HU2^j*CrO`4V)G<7M|@WkY}%fF6gQ>m8tb1Yco{Os5G zp7V%|d%DQMyX~UEf?H(^^vliX#C;FFWz{}z_$sw%KW0`W5{X-*DvYJX6vQ3TPfNha zc=y1CCkjEVT0$Eh)0&HhRcFBM_~wm_kv!qC2o$NKWxR@y6tWN-$e_%7a>4fMYPee@ zc|LC^&k{vkXc4tY%q%Ocm(46Sx*F(A9@H&3lKeoQscUn9>V>rJ_+ zd(Iw{-Y!D$)%HBj%^rU~7uE61TW*=GnF1xFSZWjQ8ZUcae?Q@y9=}%#2Nuew#U- z*=`ZEl0Ijuz2aI_LSutdp-d>kI3R&=OsGSXT9m*rYkC9!L+2FEQ`W8XxWW?;#r<6$t+gUhPert(%ua-gG0-V%@pZ;v>u z%vDHy*H3kod&y)mC~zpwURMh9(!48xfJ@3*tbxpLNKC!KQcMHK{iBOoB~6Fx?->-S zIO$xdVd7>4d2q)0G4xEn#iD8$^MM%G2CRsFvz!;_M&aF#dN1FffUe1$umz9$%bB@3 z*jhDz}v`*6dbSRf%K`pPqV*ZYUW_!C-Jh!(Dfn^Of!O z&X8-B-kQBJZB1*d-;PohAO%WpSxaN**2@J!(}+aO4SA36b$`%6EzZx(04Nht%&2ocWe`|DE#z?_KBUN>|Iv+ zSzAsbMc=8;_i6Z`GcF?LjwsXm%F0R{RH9EvROhtM%PmqoI&UMADUyQ{{Uqj%PxTqwX^s9f(MG;%Q*6_6f43IQ99g-!r1- zXvpxYvgVf%Q1wD%I-5*;V!S%bj(g7wfA$}uCK3u%nc8#g`E5nHldeT>#lHKHFqxmfLqjF(AC6@{$9a%1G6}Q zop)xi%L{!gmj5Din4R18+2;WVGkykD87qEJ#1k9$N`~(Ro+xxhI)&pJGKTj5n1fe^ zIhi#BjrHA5@&;iPFTijM*~OLtKovrTi+pooWh40DdHl@fmJL`_e@ zry}vtNWu{_$)k((~j75Uf4 z%OV`Ewcnh?KiL;v;biOA`pU-F-SjL_~w(<%M4`0Gw>qgF6RbYKFo2e7zj zMfXJdM50o|syd#8^KujlV>y>oev)o@GuqZl{r!*!*I8h_nI`2AMKw_gOJu)oWmT2S z^n?_F_#?^SQS0VK_RG~K{|4G>Z^%~j&bdbmH^e|YFSp~PUPVuwDL2kz69du;Rzt}G zgA>5d2HR!3!#ix~py9(-q=QDQ1+Nr8))@FA=nlK;QF_l$J{a+`&1ptAI>pS+ z%m9mtJm25A)RJ&lCas+$Yl$Zbl&OIBvDU@7E7QCro+b? zOf71EX)37MJ79%>Gw3xIYD`uCPK@p|_7gYr%uml=C7f6jrxE89Gm1K<>DmUku!-LH zlJ#3z^A*l|IlAi+yZSjQ^AkR4&08qmphs}SP;ljmA-Ih4w?sF(u(tYR-i`abQ~>UQQ@% zMqki@106TG?c#?`&8Ynlmj0Y5MMWrf2E|M_s4H3=+^hQR|72s?9K_S$oR=GLKWjTe z!m9u-Nxd<%t(U$cr9>Uh59;S5Ig)aqN zDl_0%MY}m#THedWf9x}4n7;AHp-P`mL~@!n*G4h}z&Vqf zbEny2vD;F&;)QXTED7;n@!=!@CD)L>kBb{UO(kQWypa8!=%fxm5qrdoO96>V^xj2& zqEzZxcWnd%h_LSuF{m=CN3S&e#9vzsef##j)dV;s^xl=z;jhsq)WLaLeIIaz9xLFY z4M??A%-|}WSXv0C+6vBqo39%IYIJh{9PM7gQc1oCf#?_nNl%C9&1E1@jSl<6TyL$I8@F|<4;%)w7EiE=ruUGpqH=Zsv&Xr^rU>B#~WojDRa0Lq1;sp zyq<3T8Ba@tJMxWq*NU$gcpvKN=@I#&zmifW@e;8-#JG?BIDT84v}5c4@rvC=B~GCAT8;RNFVou-2TZG9p7 z&qry4!5xTqcyqp!Tw>w5KcoU4(cvC5u)v>z0y6n|mv-fpom1;6#U7!%F-|(Ya^kux z70no1%EEJ7(uRuXIToLp91|~^v~@Af-U_%r>buu5n1$bRZ`78tINBywq0P()jDrc2 zgw)qbZ|=joxTPAq_QeA$w zn4r}F4;iY?(k5-<#z!q*92nxlvX({0)|=a+;V|xULTvkiC)4|H0m6cw%2Cp@C(klt zo9Q=lj?wD~xJIq@^&-bIn#2OVf8ITvBv%!eWuFX`M~j=atM4b1Ef?s#6g)8Lszc8o zmZFJ`>S5;K_<{%Rlm$Z=F)};fZL$P4verj$oMOs#ImrY&9o==(b0VYyn`MKqWBJ=u zaE4wbp0#RDa$YwJ`pLNRaL|kO`toFXXk5__Aqv z99`A4JZ4ocy=DHa12E2719=!5$k{^D1RzQTO`GU_8O-b`*@ETlm}hclPNoDJrAF)D z9v84GgFLLK;Oyn%;xc%`6vNJmzt>Luw(nk0MTd>B?10E)kxi}ul#~3$o$C`Rop@JE ziv_0RsifYCjtnIJ${oJf?x$;6^j`j9A>1DUSSr>xOsmjBmG&h?YRK0i0J9nJ)Wi4Z zo!Z%u;Y&HHWw6bk{@45U_4OU5kZWAj!$xPl$w%Bp-PmAq z3LjtXx~Pbd*ZKn#f6+KI5BMAZseg97>wofF@q8xI1TF@%0=*LcH&odae+?=(;C;qP zaUayX44{JKbE^yU^I2xepP+<{l4J?sU*Icww{-VcU#FA*e#TJbh?VA7bnXBzKO#bM zDP_=L1r+2O`WDk&OyvD#1tSpb{kPZe18yvk^TvjTa=GD;?nUWPv(3d)G5AhDFBx}u zT$Oew+SY@)`Wes$OCCwx{?Vz2FD@;C2|lm{$nbil-nXnZx=jX_WJ3=o zM&NisqdteN=LgM)&)T$jSxT$)cIhgpVkFXyw8)rXJtU>PRi zCXM=yIPS2t;xcAQog@gtMW<+UJD94__gaEq1BdC9l$3#-7r_$S!^6YfTx}EUPhqga zNTIbl#I|kn0c)K{tUx{_Qrm(o0bDDUhoI$VQ901m8a+H8E828mv?Ae_Tf5|OaHAT9qGX;Ea(?8=kJRk@s*|A4Q_w=r z^P~;_>#w`Iy5uN$v4^0e53}7|BseKlj50}2;lqq8uo#jJ+wn==qq=|$!jd&spE7Tsg#hcmMf{%?6~t&?d|U; z>}t&2{{1W2z_p3fnl;g#PHZz7Bx?~zoRxOO@> zu{VYkf<@=VH}uYrf+Xqc*1udA3}OKuX2d&fS8rGU?dMRr{tvl?ruwhoZG%_b(!NlS z^*>gYEy1T_V`DMBZ0tO+d;rS;nuT742g|t3U?lJuL7u}-hrjmMjj8gi*-KYn%w_B6 z0^pP5DE~Kk8c=m~oEvf+4ViPB8XD5dKsnSjo?-7$>U*2byb!9@{ye=*i+YH=5Q#t- z2ABAxi(u1hscPzL(VA9O=~ck1{d|0`C)cE{T%4S~Q_0arXH(O_xIHql=#NHA$#us8 zNIFrPtlm`!)J6GZA@Mvv?>4fW0Aqix@4Xo@+@4XwOIpP-(=z|bZ7g`z2Jt+E;U0p$ z$%e-__Md4JGr0c1-w^e={IAJ&+OG|7dj<(F|4|_`6;tX>ZF|5Mx&wst`PtcmBdIXj zZ&>|1Ku{)H=6?>rkB!|t|0`t)zX%!}fTF)sbbtHrP?D)g$;TXk){~b%NlO8Wy<^!~^Ypey>MfFpNvj9DWbm$lW+; z1nifO1@unPZ<*Hv4UaX_xUJX`wV^)iRm?;vNYAS`NhaZ_%+k8pzq$AHEJq!C)pDc}j7^*2Mn_~3ye!{q znw!P{&nkjQYGhd*h4Ey`ys5dl;)IEey{R(0_f1g!S6$AImxb_lqoGmdiMsiH^X`Xt zQDLC4eq(Q6pp|oJuwWY{%JqPWO3-LI;6eNhCjXkOFQZXn64=xKF3Wr3Gw8jW^QgmY0;k+efY?JyU-Oqe|baq^#|;s zOLnns;S(n`w80ot;#T5~Xuh_F1N#Od4x;3a+w1ej>#uO0h$7199+T>G;QgR$Hj+4; z?FrSY^y~c|@MlcXjh^w1U%mj4AQG=rH~|+pg1uum`V;1vg$1Ln*rrTU zW=qqDYoF>xr>oI(tmMg&^}~9(6!JnNx~uTK&-T+@bs#>cXVvLFTSr5gKIY%UGZpFnVY5 zwE$GT&Y+PXm=#pC^ce6LO0;e3;i8MVZQF?L_n5>P{tnG9i~6EiU%eCKx!U2$&qK#J z&Ujv?s)rD8vGTs(4^)uvK7H5f`}grYKAI?{+dUHugyA*6g-S5PtLkYkis(^2d*pn~ z-=FdiIwud$nE+v;-3^KxSd&HyP_Gaw`zk#-KGxB|4QQw&_*M?iqa!bfB63s(Xmh|8I--)T14!K15rOw<uqOXaW#>K2&b~HDtU8muD4ZXM> zqh?|5y@Ymv6A@;5nN5iNfi~K|c>)y8FA`b7;gacou>2N6z$TB$V_bdhijI!%$fnBw z>EF{q2*&9CTfkhw#WC=YpRQ|f=PR&xlK$U7Ip9#Yf;}()AL1e6#DbG6ci=ZaR^Qb{ zHTt*uuC4R*J5hC(u7y9HuL!DI{j&V0)#R6Ru@>|~O4yc5A5?a2%JoAq|BD4COza2$ z#WIvh41)Gwc;a-R;rtg3ayZcc`yT%uQS`FT5b(wSKY+6X2GM`v9Da0{p 0 for k in range(4)] + if not all(sg): + conc.append(p.index) + bm = bmesh.new(); bm.from_mesh(me); bm.faces.ensure_lookup_table(); bm.verts.ensure_lookup_table() + uvl = bm.loops.layers.uv.active + for pi, f in [(pi, bm.faces[pi]) for pi in conc]: + uv = {l.vert.index: l[uvl].uv.copy() for l in f.loops} if uvl else {} + smooth, mi = f.smooth, f.material_index + new_faces = [] + for tri in lt[pi]: + nf = bm.faces.new([bm.verts[k] for k in tri]); nf.smooth = smooth; nf.material_index = mi + if uvl: + for l in nf.loops: l[uvl].uv = uv[l.vert.index] + new_faces.append(nf) + bm.faces.remove(f) + bm.normal_update(); bm.to_mesh(me); bm.free(); me.update() + print("split concave quads:", len(conc)) + +# ---------------------------------------------------------------- 1) corrective shape keys +# every UO action keys the rig property "uo_action_id" (constant), so the shape-key drivers know the current action +rig["uo_action_id"] = -1 +for a_, act_ in acts.items(): + clear_fcurves(act_, '["uo_action_id"]') + fc = new_fcurve(act_, '["uo_action_id"]') + kp = fc.keyframe_points.insert(1, float(a_)); kp.interpolation = "CONSTANT" +me = body.data +if me.shape_keys is None: + body.shape_key_add(name="Basis", from_mix=False) +kb = me.shape_keys.key_blocks +base = np.zeros(len(me.vertices) * 3, np.float32); kb["Basis"].data.foreach_get("co", base); base = base.reshape(-1, 3) +for k in [k for k in kb if k.name.startswith("uo_")]: + body.shape_key_remove(k) +n = 0 +for (a, i), r in sorted(corr.items()): + F = int(acts[a]["uo_frames"]) + sk = body.shape_key_add(name="uo_%02d_%02d" % (a, i), from_mix=False) + sk.data.foreach_set("co", (base + r["D"]).ravel()) + sk.slider_min, sk.slider_max = 0.0, 1.0 + d = sk.driver_add("value").driver + d.type = "SCRIPTED" + v = d.variables.new(); v.name = "ua"; v.type = "SINGLE_PROP" + v.targets[0].id_type = "OBJECT"; v.targets[0].id = rig; v.targets[0].data_path = '["uo_action_id"]' + f0 = 1 + STEP * i + e = "(ua == %d) * max(0, 1 - abs(frame - %d) / %d)" % (a, f0, STEP) + if a in CYC and i == 0 and F > 1: + e = "(ua == %d) * max(0, 1 - abs(frame - %d) / %d, 1 - abs(frame - %d) / %d)" % (a, f0, STEP, f0 + STEP * F, STEP) + d.expression = e + n += 1 + for dk, E in sorted((r.get("Ed") or {}).items()): # per-direction correction: only in UO direction dk + if float(np.abs(E).max()) < 1e-5: + continue + sk2 = body.shape_key_add(name="uo_%02d_%02d_d%d" % (a, i, dk), from_mix=False) + sk2.data.foreach_set("co", (base + E).ravel()) + sk2.slider_min, sk2.slider_max = 0.0, 1.0 + d2 = sk2.driver_add("value").driver; d2.type = "SCRIPTED" + for nm, path in (("ua", '["uo_action_id"]'), ("dd", '["uo_direction"]')): + v2 = d2.variables.new(); v2.name = nm; v2.type = "SINGLE_PROP" + v2.targets[0].id_type = "OBJECT"; v2.targets[0].id = rig; v2.targets[0].data_path = path + d2.expression = e.replace("(ua == %d)" % a, "(ua == %d) * (dd == %d)" % (a, dk), 1) + n += 1 +me.shape_keys.use_relative = True +print("shape keys", n, "simple expressions:", all(k.driver.is_simple_expression for k in me.shape_keys.animation_data.drivers)) +rig.animation_data.action = acts[4]; sc.frame_set(1) +print("check: driver valid", all(k.driver.is_valid for k in me.shape_keys.animation_data.drivers), + "stand key value", me.shape_keys.key_blocks.get("uo_04_00").value if me.shape_keys.key_blocks.get("uo_04_00") else None) +rig.animation_data.action = None + +# ---------------------------------------------------------------- 2) original frames +old = bpy.data.images.get("UO_Original_Atlas") +if old: + bpy.data.images.remove(old) +img = bpy.data.images.load(os.path.abspath("UO_Original_Atlas.png")); img.name = "UO_Original_Atlas" +img.colorspace_settings.name = "sRGB"; img.alpha_mode = "STRAIGHT"; img.pack() +meta = json.load(open("uo_original_frames.json")) +t = bpy.data.texts.get("uo_original_frames.json") or bpy.data.texts.new("uo_original_frames.json") +t.from_string(json.dumps(meta)) +sc["uo_tile_col"] = 0; sc["uo_tile_row"] = 0; sc["uo_exact"] = 1.0 + +# ---------------------------------------------------------------- 3) projection in the body material +mat = body.data.materials[0]; nt = mat.node_tree; N = nt.nodes.new; L = nt.links.new +for nd in [nd for nd in nt.nodes if nd.name.startswith("UOX_")]: + nt.nodes.remove(nd) +out = next(nd for nd in nt.nodes if nd.type == "OUTPUT_MATERIAL") +grp = next(nd for nd in nt.nodes if nd.type == "GROUP" and nd.node_tree and nd.node_tree.name == "UO_Look") + + +def node(kind, name, loc, label=None): + nd = N(kind); nd.name = "UOX_" + name; nd.location = loc; nd.label = label or name; return nd + + +def driven_value(name, prop, loc): + nd = node("ShaderNodeValue", name, loc, "scene['%s'] (driver)" % prop) + dr = nd.outputs[0].driver_add("default_value").driver; dr.type = "SCRIPTED" + v = dr.variables.new(); v.name = "p"; v.type = "SINGLE_PROP"; v.targets[0].id_type = "SCENE"; v.targets[0].id = sc + v.targets[0].data_path = '["%s"]' % prop; dr.expression = "p" + return nd + + +def math(op, name, loc, a=None, b=None): + nd = node("ShaderNodeMath", name, loc); nd.operation = op + for k_, x in enumerate((a, b)): + if x is None: continue + if isinstance(x, (int, float)): nd.inputs[k_].default_value = x + else: L(x, nd.inputs[k_]) + return nd + + +X0, Y0 = 400, -900 +tc = node("ShaderNodeTexCoord", "texco", (X0 - 1400, Y0)) +sep = node("ShaderNodeSeparateXYZ", "sep", (X0 - 1200, Y0)); L(tc.outputs["Window"], sep.inputs[0]) +col = driven_value("col", "uo_tile_col", (X0 - 1200, Y0 - 200)); row = driven_value("row", "uo_tile_row", (X0 - 1200, Y0 - 300)) +ex = driven_value("exact", "uo_exact", (X0 - 400, Y0 - 350)); lk = driven_value("look", "uo_look", (X0 - 400, Y0 - 450)) +C, R = meta["cols"], meta["rows"] +u = math("MULTIPLY", "u", (X0 - 800, Y0), math("ADD", "u0", (X0 - 1000, Y0), col.outputs[0], sep.outputs["X"]).outputs[0], 1.0 / C) +v1 = math("SUBTRACT", "v0", (X0 - 1000, Y0 - 150), sep.outputs["Y"], row.outputs[0]) +v = math("MULTIPLY", "v", (X0 - 800, Y0 - 150), math("ADD", "v1", (X0 - 900, Y0 - 150), v1.outputs[0], float(R - 1)).outputs[0], 1.0 / R) +cmb = node("ShaderNodeCombineXYZ", "uv", (X0 - 600, Y0)); L(u.outputs[0], cmb.inputs[0]); L(v.outputs[0], cmb.inputs[1]) +tex = node("ShaderNodeTexImage", "atlas", (X0 - 400, Y0), "original UO frame (projected from the UO camera)") +tex.image = img; tex.interpolation = "Closest"; tex.extension = "CLIP"; L(cmb.outputs[0], tex.inputs[0]) +em = node("ShaderNodeEmission", "emit", (X0 - 100, Y0)); L(tex.outputs["Color"], em.inputs["Color"]) +fac = math("MULTIPLY", "fac", (X0 - 100, Y0 - 300), math("MULTIPLY", "fac0", (X0 - 250, Y0 - 300), tex.outputs["Alpha"], ex.outputs[0]).outputs[0], lk.outputs[0]) +mix = node("ShaderNodeMixShader", "mix", (X0 + 150, Y0 + 300), "exact UO colours (original frames) / model") +L(fac.outputs[0], mix.inputs[0]); L(grp.outputs[0], mix.inputs[1]); L(em.outputs[0], mix.inputs[2]) +L(mix.outputs[0], out.inputs["Surface"]) + +# ---------------------------------------------------------------- 4) clothing follows the corrected body: +# Armature (as before) + the body's corrections copied onto the item (text block uo_transfer_corrections.py) +tt = bpy.data.texts.get("uo_transfer_corrections.py") or bpy.data.texts.new("uo_transfer_corrections.py") +tt.from_string(open("uo_transfer_corrections.py").read()) +tb = bpy.data.texts.get("uo_bind_item.py") or bpy.data.texts.new("uo_bind_item.py") # one-click bind (weights per body part) +tb.from_string(open("uo_bind_item.py").read()) +tf = bpy.data.texts.get("uo_fit_item.py") or bpy.data.texts.new("uo_fit_item.py") # push the item out of the skin +tf.from_string(open("uo_fit_item.py").read()) +bpy.ops.object.select_all(action="DESELECT") +for ob in (bpy.data.collections["Clothing"].all_objects if "Clothing" in bpy.data.collections else []): + if ob.type == "MESH": + for m_ in [m_ for m_ in ob.modifiers if m_.type == "SURFACE_DEFORM"]: + ob.modifiers.remove(m_) + if not any(m_.type == "ARMATURE" for m_ in ob.modifiers): + am = ob.modifiers.new("Armature", "ARMATURE"); am.object = rig + ob.select_set(True) +rig.animation_data.action = None +exec(compile(tt.as_string(), "uo_transfer_corrections.py", "exec"), {"__name__": "__main__"}) +rig.animation_data.action = acts[4] + +# ---------------------------------------------------------------- 5) render script +txt = bpy.data.texts.get("render_uo_layer.py") or bpy.data.texts.new("render_uo_layer.py") +txt.from_string(open("render_uo_layer.py").read()) +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(OUT, "UO_Body_0x190.blend"))) +print("saved") diff --git a/third_party/UO_Model3D_v13/pipeline/add_horse_proxy.py b/third_party/UO_Model3D_v13/pipeline/add_horse_proxy.py new file mode 100644 index 0000000..c9be7ca --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/add_horse_proxy.py @@ -0,0 +1,70 @@ +"""Add horse proxy meshes (visual hulls of the UO horse 0xC8) to the .blend as hidden holdout objects.""" +import bpy, sys, os, pickle +import numpy as np + +SRC = sys.argv[sys.argv.index("--src") + 1] +OUT = sys.argv[sys.argv.index("--out") + 1] +os.makedirs(OUT, exist_ok=True) +bpy.context.preferences.filepaths.save_version = 0 +bpy.ops.wm.open_mainfile(filepath=os.path.abspath(SRC)) +sc = bpy.context.scene +rig = bpy.data.objects["UO_Rig"] +hulls = pickle.load(open(os.environ.get("UO_HULL_OUT", "horse_hulls.pkl"), "rb")) +LIFT = float(sc.get("uo_anchor_height", 0.0)) # the fit's coordinates have the UO anchor at z = 0 + +col = bpy.data.collections.get("Horse_Proxy") or bpy.data.collections.new("Horse_Proxy") +if col.name not in sc.collection.children: + sc.collection.children.link(col) +mat = bpy.data.materials.new("Horse_Proxy_Mat"); mat.diffuse_color = (0.45, 0.33, 0.22, 1) +for old in [o for o in bpy.data.objects if o.name.startswith("Horse_")]: + bpy.data.objects.remove(old) +for (ra, i), (v, f) in sorted(hulls.items()): + name = f"Horse_a{ra}_f{i}" + me = bpy.data.meshes.new(name) + me.from_pydata((v + np.array([0.0, 0.0, LIFT])).tolist(), [], f.tolist()); me.update() + ob = bpy.data.objects.new(name, me) + col.objects.link(ob) + bpy.context.view_layer.objects.active = ob + dec = ob.modifiers.new("Decimate", "DECIMATE"); dec.ratio = 0.06 + with bpy.context.temp_override(object=ob, active_object=ob): + bpy.ops.object.modifier_apply(modifier=dec.name) + for p in me.polygons: + p.use_smooth = True + me.materials.append(mat) + ob.parent = rig # turns with uo_direction like the rider + ob.hide_render = True + ob.hide_viewport = True + ob["uo_rider_action"] = ra; ob["uo_rider_frame"] = i + +# exact 2D horse silhouettes (from the UO horse sprites) for every mounted frame and direction: the proxy only decides +# WHAT is behind the horse, the sprite mask decides WHERE the horse is (pixel-exact edges) +import json, zlib, base64 +sys.path.insert(0, "../vdtool") +import vdtool +_, horse = vdtool.read_vd("horse200.vd") +HORSE_OF = {23: 0, 24: 1, 25: 2, 26: 2, 27: 2, 28: 2, 29: 2} +AX, AY, CW, CH = 68, 86, 136, 120 +masks = {} +for act in bpy.data.actions: + if "uo_action" not in act or int(act["uo_action"]) not in HORSE_OF: + continue + a = int(act["uo_action"]); ha = HORSE_OF[a] + for d in range(5): + blk = horse[ha * 5 + d] + for i in range(int(act["uo_frames"])): + fr = blk["frames"][i % len(blk["frames"])] + al = vdtool.frame_rgba(fr, blk["palette"])[..., 3] > 0 + m = np.zeros((CH, CW), bool) + ys, xs = np.nonzero(al) + ys, xs = ys + AY - (fr["cy"] + fr["h"]), xs + AX - fr["cx"] + ok = (ys >= 0) & (ys < CH) & (xs >= 0) & (xs < CW) + m[ys[ok], xs[ok]] = True + masks["%d,%d,%d" % (a, i, d)] = base64.b64encode(zlib.compress(np.packbits(m.ravel()).tobytes(), 9)).decode() +mt = bpy.data.texts.get("uo_horse_masks.json") or bpy.data.texts.new("uo_horse_masks.json") +mt.from_string(json.dumps(dict(format="rider_action,frame,dir -> base64(zlib(packbits(120x136 bool)))", masks=masks))) +print("horse masks", len(masks)) + +txt = bpy.data.texts.get("render_uo_layer.py") or bpy.data.texts.new("render_uo_layer.py") +txt.from_string(open("render_uo_layer.py").read()) +bpy.ops.wm.save_as_mainfile(filepath=os.path.abspath(os.path.join(OUT, "UO_Body_0x190.blend"))) +print("saved") diff --git a/third_party/UO_Model3D_v13/pipeline/bake_all.py b/third_party/UO_Model3D_v13/pipeline/bake_all.py new file mode 100644 index 0000000..2691f1b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/bake_all.py @@ -0,0 +1,120 @@ +"""Bake the UV texture from ALL non-mounted sprite frames (refined mesh + refined poses), robust weighted mean.""" +import sys, pickle, time +import numpy as np +from scipy.ndimage import binary_erosion +TEX = int(sys.argv[1]) if len(sys.argv) > 1 and sys.argv[1].isdigit() else 1024 +sys.argv = ["refine_mesh.py", "0"] +exec(open("refine_mesh.py").read().split("params = dict(delta=")[0]) +SS = 3 +r = pickle.load(open("refine_mesh.pkl", "rb")) +delta = jnp.asarray(r["delta"]) +poses = {k: jnp.asarray(v) for k, v in r["poses"].items()} +tri_uv = np.asarray(md["tri_uv"]) + + +def raster_vec(P, fn_depth, W_, H_, maxbox=24): + """Vectorised rasteriser for small triangles. P (T,3,2) pixel coords. Returns (tri, px, py, bary) of covered centres.""" + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + size = np.clip(mx - mn, 0, maxbox) + a, b, c = P[:, 0], P[:, 1], P[:, 2] + den = (b[:, 1] - c[:, 1]) * (a[:, 0] - c[:, 0]) + (c[:, 0] - b[:, 0]) * (a[:, 1] - c[:, 1]) + ok = np.abs(den) > 1e-12 + out_t, out_x, out_y, out_b = [], [], [], [] + for dy in range(int(size[:, 1].max()) + 1): + for dx in range(int(size[:, 0].max()) + 1): + sel = ok & (dx <= size[:, 0]) & (dy <= size[:, 1]) + t = np.nonzero(sel)[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy + cx, cy = px + 0.5, py + 0.5 + aa, bb, cc, dd = a[t], b[t], c[t], den[t] + l0 = ((bb[:, 1] - cc[:, 1]) * (cx - cc[:, 0]) + (cc[:, 0] - bb[:, 0]) * (cy - cc[:, 1])) / dd + l1 = ((cc[:, 1] - aa[:, 1]) * (cx - cc[:, 0]) + (aa[:, 0] - cc[:, 0]) * (cy - cc[:, 1])) / dd + l2 = 1 - l0 - l1 + m = (l0 >= -1e-4) & (l1 >= -1e-4) & (l2 >= -1e-4) & (px >= 0) & (py >= 0) & (px < W_) & (py < H_) + out_t.append(t[m]); out_x.append(px[m]); out_y.append(py[m]); out_b.append(np.stack([l0[m], l1[m], l2[m]], 1)) + return np.concatenate(out_t), np.concatenate(out_x), np.concatenate(out_y), np.concatenate(out_b) + + +# texel -> (triangle, barycentric) +t0 = time.time() +uvpx = tri_uv.copy(); uvpx[..., 0] *= TEX; uvpx[..., 1] = (1 - uvpx[..., 1]) * TEX +tt, tx, ty, tb = raster_vec(uvpx, None, TEX, TEX) +key = ty * TEX + tx +_, first = np.unique(key, return_index=True) +tt, tx, ty, tb = tt[first], tx[first], ty[first], tb[first] +NT = len(tt) +print("texels", NT, f"{time.time()-t0:.1f}s", flush=True) + +# per-view brightness gains (UO light is fixed while the body turns) +cores = np.zeros_like(masks) +for s in range(NS): + for d in range(5): + cores[s, d] = binary_erosion(masks[s, d], iterations=1) +colors = {} +for s, (a, i) in enumerate(samples): + colors[s] = cache_t[a][i][..., :3] +means = np.zeros(5) +for d in range(5): + means[d] = np.mean([colors[s][d][cores[s, d]].mean() for s in range(NS)]) +gains = means.mean() / means +print("direction gains", np.round(gains, 3), flush=True) + + +def vert_normals(X): + fn = np.cross(X[tris[:, 1]] - X[tris[:, 0]], X[tris[:, 2]] - X[tris[:, 0]]) + n = np.zeros_like(X) + for k in range(3): + np.add.at(n, tris[:, k], fn) + return n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + + +def gather(pass_mean=None, sigma=28.0): + acc = np.zeros((NT, 3)); wsum = np.zeros(NT) + for s in range(NS): + pp = {k: poses[k][s] for k in ("ball", "hinge", "trans")} + p, X = forward(delta, pp) + p = np.asarray(p); X = np.asarray(X) + nrm = vert_normals(X) + Pt = np.einsum("nk,nkd->nd", tb, X[tris[tt]]) + Nt = np.einsum("nk,nkd->nd", tb, nrm[tris[tt]]) + Nt /= np.maximum(np.linalg.norm(Nt, axis=1, keepdims=True), 1e-12) + for d in range(5): + f = np.asarray(FWD[d]); depth = X @ f + # z-buffer at SS x resolution + zb = np.full((H * SS, Wc * SS), -np.inf) + zt, zx, zy, zbc = raster_vec(p[d][tris] * SS, None, Wc * SS, H * SS) + np.maximum.at(zb, (zy, zx), np.einsum("nk,nk->n", zbc, depth[tris[zt]])) + sx = ANCHOR_X + PX_OFF + SC * (Pt @ np.asarray(RIGHT[d])) + sy = ANCHOR_Y - SC * (Pt @ np.asarray(UP[d])) + dz = Pt @ f + facing = Nt @ f + xi, yi = np.floor(sx).astype(int), np.floor(sy).astype(int) + zx_, zy_ = np.clip(np.floor(sx * SS).astype(int), 0, Wc * SS - 1), np.clip(np.floor(sy * SS).astype(int), 0, H * SS - 1) + ok = (xi >= 0) & (xi < Wc) & (yi >= 0) & (yi < H) & (facing > 0.2) + ok &= dz >= zb[zy_, zx_] - 0.015 + ok[ok] &= cores[s, d][yi[ok], xi[ok]] + if not ok.any(): + continue + col = colors[s][d][yi[ok], xi[ok]].astype(np.float64) * gains[d] + w = facing[ok] ** 2 + if pass_mean is not None: + diff = np.linalg.norm(col - pass_mean[ok], axis=1) + w = w * np.exp(-0.5 * (diff / sigma) ** 2) + acc[ok] += col * w[:, None]; wsum[ok] += w + if s % 40 == 0: + print(f" frame {s}/{NS} {time.time()-t0:.0f}s", flush=True) + mean = acc / np.maximum(wsum, 1e-9)[:, None] + return mean, wsum + + +m1, w1 = gather() +m2, w2 = gather(pass_mean=m1) +print("covered texels %.1f%%" % (100 * (w2 > 1e-6).mean()), flush=True) +tex = np.zeros((TEX, TEX, 3)); wt = np.zeros((TEX, TEX)) +tex[ty, tx] = np.clip(m2, 0, 255); wt[ty, tx] = (w2 > 1e-6) +pickle.dump(dict(tex=tex, wt=wt, cover=np.zeros((TEX, TEX), bool)), open("bake_all.pkl", "wb")) +from texbake import pull_push_fill +from PIL import Image +filled = pull_push_fill(tex, wt) +Image.fromarray(np.clip(filled, 0, 255).astype(np.uint8)).save("UO_Body_Texture_allframes.png") +print("saved texture", f"{time.time()-t0:.0f}s", flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/basemesh.py b/third_party/UO_Model3D_v13/pipeline/basemesh.py new file mode 100644 index 0000000..ce5097a --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/basemesh.py @@ -0,0 +1,221 @@ +"""Quad base mesh: Blender Skin modifier on the fitted skeleton, subdivided, then projected onto the body SDF.""" +import numpy as np +import bpy +from body import JI, ARM_REST_ANGLE +from sdfmesh import body_parts, body_sdf + + +def surface_dist(parts, p, d, tmax=0.6, iters=30): + """Distance from interior point p along unit direction d to the SDF surface (bisection).""" + if body_sdf(parts, p[None])[0][0] > 0: + return 0.01 + lo, hi = 0.0, tmax + for _ in range(iters): + mid = 0.5 * (lo + hi) + if body_sdf(parts, (p + d * mid)[None])[0][0] < 0: + lo = mid + else: + hi = mid + return lo + + +def measured_radius(parts, p, axis_dir): + """(r_u, r_v) half-extents of the cross-section at p, perpendicular to axis_dir (u ~ sideways, v ~ Y).""" + a = axis_dir / np.linalg.norm(axis_dir) + u = np.cross(a, [0.0, 1.0, 0.0]) + if np.linalg.norm(u) < 1e-6: + u = np.array([1.0, 0, 0]) + u /= np.linalg.norm(u) + v = np.cross(u, a) + ru = 0.5 * (surface_dist(parts, p, u) + surface_dist(parts, p, -u)) + rv = 0.5 * (surface_dist(parts, p, v) + surface_dist(parts, p, -v)) + # centre offsets (the skeleton may not be at the middle of the cross-section) + cu = 0.5 * (surface_dist(parts, p, u) - surface_dist(parts, p, -u)) + cv = 0.5 * (surface_dist(parts, p, v) - surface_dist(parts, p, -v)) + return ru, rv, p + u * cu + v * cv + + +def skin_graph(S, P, parts=None): + S = {k: np.asarray(v, np.float64) for k, v in S.items()} + sa, ca = np.sin(ARM_REST_ANGLE), np.cos(ARM_REST_ANGLE) + V, E, Rd = [], [], [] + + def add(p, r, parent=None): + V.append(np.asarray(p, float)); Rd.append(r) + i = len(V) - 1 + if parent is not None: + E.append((parent, i)) + return i + + pel, sp, ch, nk, hd = (P[JI[n]] for n in ("pelvis", "spine", "chest", "neck", "head")) + pr, ar, cr, hr = S["pelvis_r"], S["abd_r"], S["chest_r"], S["head_r"] + root = add(pel + np.array([0, 0, -0.03]), (pr[0] * 0.8, pr[1] * 0.8)) + i_p2 = add((pel + sp) / 2 + np.array([0, 0, 0.02]), (pr[0] * 0.8, pr[1] * 0.8), root) + i_sp = add(sp + np.array([0, 0, S["abd"] * 0.35]), (ar[0] * 0.85, ar[1] * 0.85), i_p2) + i_ch = add(ch + np.array([0, 0, 0.03]), (cr[0] * 0.8, cr[1] * 0.8), i_sp) + i_ct = add(ch + np.array([0, 0, S["chest_len"] * 0.8]), (cr[0] * 0.7, cr[1] * 0.7), i_ch) + i_nk = add(nk + np.array([0, 0, 0.03]), (S["neck_r"], S["neck_r"]), i_ct) + i_hd = add(hd + S["head_c"] * np.array([1, 1, 0.3]), (hr[0] * 0.9, hr[1] * 0.9), i_nk) + i_ht = add(hd + S["head_c"] + np.array([0, 0, hr[2] * 0.85]), (hr[0] * 0.6, hr[1] * 0.6), i_hd) + for side, sx in (("L", 1), ("R", -1)): + d = np.array([sx * sa, 0, -ca]) + sh, el, wr = P[JI["shoulder." + side]], P[JI["elbow." + side]], P[JI["wrist." + side]] + i_s = add(sh, (S["uarm_r"][0], S["uarm_r"][0]), i_ct) + i_m = add((sh + el) / 2, (S["uarm_r"].mean(), S["uarm_r"].mean()), i_s) + i_e = add(el, (S["uarm_r"][1], S["uarm_r"][1]), i_m) + i_f = add((el + wr) / 2, (S["farm_r"].mean(), S["farm_r"].mean()), i_e) + i_w = add(wr, (S["farm_r"][1], S["farm_r"][1]), i_f) + i_h = add(wr + d * S["hand"] * 0.9, (S["hand_r"][0] * 0.8, S["hand_r"][1] * 0.8), i_w) + hp, kn, an = P[JI["hip." + side]], P[JI["knee." + side]], P[JI["ankle." + side]] + i_hp = add(hp + np.array([0, 0, -0.02]), (S["thigh_r"][0], S["thigh_r"][0]), root) + i_tm = add((hp + kn) / 2, (S["thigh_r"].mean(), S["thigh_r"].mean()), i_hp) + i_k = add(kn, (S["thigh_r"][1], S["thigh_r"][1]), i_tm) + i_sm = add((kn + an) / 2, (S["shin_r"].mean(), S["shin_r"].mean()), i_k) + i_a = add(an, (S["shin_r"][1], S["shin_r"][1]), i_sm) + toe = an + np.array([0, -S["foot_len"] + S["heel_y"] + 0.02, -S["ankle_h"] + S["foot_r"][1]]) + add(toe, (S["foot_r"][1], S["foot_r"][1] * 0.8), i_a) + V = np.array(V) + if parts is not None: + # replace guessed radii by cross-sections measured on the fitted body surface + nb = {i: [] for i in range(len(V))} + for a_, b_ in E: + nb[a_].append(b_); nb[b_].append(a_) + centred = V.copy() + for i in range(len(V)): + axis = np.zeros(3) + for j in nb[i]: + dvec = V[j] - V[i] if j > i else V[i] - V[j] + axis += dvec / np.linalg.norm(dvec) + ru, rv, c = measured_radius(parts, V[i], axis) + if len(nb[i]) <= 1: # chain ends sit inside the tip; keep them small + ru, rv = ru * 0.6, rv * 0.6 + Rd[i] = (max(ru, 0.012), max(rv, 0.012)) + if len(nb[i]) == 2: + centred[i] = c + centred[:, 0] = np.where(np.abs(V[:, 0]) < 1e-9, 0.0, centred[:, 0]) + V = centred + return V, E, Rd, root + + +def make_skin_mesh(S, P, subdiv=2, parts=None): + V, E, Rd, root = skin_graph(S, P, parts) + me = bpy.data.meshes.new("SkinGraph") + me.from_pydata(V.tolist(), E, []) + ob = bpy.data.objects.new("SkinGraph", me) + bpy.context.scene.collection.objects.link(ob) + sk = ob.modifiers.new("Skin", "SKIN") + if len(me.skin_vertices) == 0: + me.skin_vertices.new() + sv = me.skin_vertices[0].data + for i, r in enumerate(Rd): + sv[i].radius = r + sv[i].use_root = (i == root) + sk.branch_smoothing = 0.5 + sk.use_x_symmetry = True + sub = ob.modifiers.new("Sub", "SUBSURF") + sub.levels = subdiv + sub.render_levels = subdiv + dg = bpy.context.evaluated_depsgraph_get() + ev = ob.evaluated_get(dg) + m = ev.to_mesh() + verts = np.array([v.co[:] for v in m.vertices]) + faces = [list(p.vertices) for p in m.polygons] + ev.to_mesh_clear() + bpy.data.objects.remove(ob) + bpy.data.meshes.remove(me) + return verts, faces + + +def sdf_grad(parts, p, h=1e-4): + g = np.zeros_like(p) + for i in range(3): + e = np.zeros(3); e[i] = h + g[:, i] = (body_sdf(parts, p + e)[0] - body_sdf(parts, p - e)[0]) / (2 * h) + return g + + +def project(parts, p, iters=6): + for _ in range(iters): + d, _ = body_sdf(parts, p) + g = sdf_grad(parts, p) + g /= np.maximum(np.linalg.norm(g, axis=1, keepdims=True), 1e-9) + p = p - d[:, None] * g + return p + + +def adjacency(nv, faces): + import scipy.sparse as sp + e = set() + for f in faces: + for a, b in zip(f, f[1:] + f[:1]): + e.add((min(a, b), max(a, b))) + e = np.array(sorted(e)) + A = sp.coo_matrix((np.ones(len(e) * 2), (np.r_[e[:, 0], e[:, 1]], np.r_[e[:, 1], e[:, 0]])), shape=(nv, nv)).tocsr() + deg = np.asarray(A.sum(1)).ravel() + return A, deg + + +def mesh_normals(v, faces): + n = np.zeros_like(v) + for f in faces: + for k in range(1, len(f) - 1): + a, b, c = v[f[0]], v[f[k]], v[f[k + 1]] + fn = np.cross(b - a, c - a) + for i in (f[0], f[k], f[k + 1]): + n[i] += fn + return n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + + +def project_along_normals(parts, v, n, reach=0.12, iters=25): + """Move each vertex along its normal to the SDF zero crossing (bisection); fallback: nearest point.""" + d0, _ = body_sdf(parts, v) + sgn = np.sign(d0) # outside -> search inward (-n), inside -> outward (+n) + dirn = -sgn[:, None] * n + far = v + dirn * reach + df, _ = body_sdf(parts, far) + ok = np.sign(df) != sgn + lo = np.zeros(len(v)); hi = np.full(len(v), reach) + for _ in range(iters): + mid = 0.5 * (lo + hi) + dm, _ = body_sdf(parts, v + dirn * mid[:, None]) + same = np.sign(dm) == sgn + lo = np.where(same, mid, lo); hi = np.where(same, hi, mid) + out = v + dirn * (0.5 * (lo + hi))[:, None] + out[~ok] = project(parts, v[~ok]) + return out + + +def relax_project(parts, v, faces, rounds=12, lam=0.5): + A, deg = adjacency(len(v), faces) + v = project_along_normals(parts, v, mesh_normals(v, faces)) + for _ in range(rounds): + avg = np.where(deg[:, None] > 0, (A @ v) / np.maximum(deg, 1)[:, None], v) + g = sdf_grad(parts, v) + g /= np.maximum(np.linalg.norm(g, axis=1, keepdims=True), 1e-9) + delta = avg - v + delta -= np.sum(delta * g, 1, keepdims=True) * g # tangential only + v = v + lam * delta + v = project(parts, v, iters=3) + return v + + +def symmetrize(v, tol=1e-3): + """Snap to exact X symmetry: find mirror partners and average.""" + from scipy.spatial import cKDTree + t = cKDTree(v) + m = v * np.array([-1, 1, 1]) + d, idx = t.query(m) + ok = d < 0.01 + out = v.copy() + out[ok] = 0.5 * (v[ok] + (v[idx[ok]] * np.array([-1, 1, 1]))) + center = np.abs(out[:, 0]) < tol + out[center, 0] = 0.0 + return out, idx, ok + + +def build_base_mesh(S, subdiv=2): + parts, P = body_parts(S) + verts, faces = make_skin_mesh(S, P, subdiv) + v = relax_project(parts, verts, faces) + v, _, _ = symmetrize(v) + return v, faces, parts, P diff --git a/third_party/UO_Model3D_v13/pipeline/below.py b/third_party/UO_Model3D_v13/pipeline/below.py new file mode 100644 index 0000000..40a95bc --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/below.py @@ -0,0 +1,13 @@ +import sys,pickle,numpy as np,jax.numpy as jnp +from posefit_mesh import * +from posefit_mesh import _posed_j +P=pickle.load(open(sys.argv[1],"rb")) +Wn=np.asarray(md["W"]); bones=md["bones"] +for a in [int(x) for x in sys.argv[2].split(",")]: + p=P[a]["poses"] + for i in range(p["trans"].shape[0]): + X=np.asarray(_posed_j({k:jnp.asarray(v[i]) for k,v in p.items()})) + b=X[:,2] express camera basis in character space (rotate by -yaw) + c, s = np.cos(-yaw), np.sin(-yaw) + Rz = jnp.array([[c, -s, 0], [s, c, 0], [0, 0, 1.0]], dtype=jnp.float32) + return Rz @ right_w, Rz @ up_w + + +_yy, _xx = np.mgrid[0:CANVAS_H, 0:CANVAS_W].astype(np.float32) +PIX = jnp.asarray(np.stack([_xx + 0.5 - ANCHOR_X, -(_yy + 0.5 - ANCHOR_Y)], -1)) # screen coords, y up, px + + +def render_sil(S, P, R, d, tau=0.45, return_parts=False, pix=None): + pix = PIX if pix is None else pix + oh, ow = pix.shape[:2] + (ec, eC), (ca, cb, ra, rb) = primitives(S, P, R) + right, up = camera(S, d) + B = jnp.stack([right, up]) * S["scale"] # 2x3 + q = pix.reshape(-1, 2) + # ellipsoids + c2 = ec @ B.T + C2 = jnp.einsum("ij,njk,lk->nil", B, eC, B) + M = jnp.linalg.inv(C2) + dq = q[None] - c2[:, None] + Mq = jnp.einsum("nij,npj->npi", M, dq) + rho = jnp.sqrt(jnp.sum(dq * Mq, -1) + 1e-9) + g = jnp.sqrt(jnp.sum(Mq * Mq, -1) + 1e-9) / rho + de = (rho - 1.0) / g + # cones (interpolated-disc approximation) + a2, b2 = ca @ B.T, cb @ B.T + ab = b2 - a2 + h = jnp.sum(ab * ab, -1) + 1e-6 + t = jnp.clip(jnp.einsum("npk,nk->np", q[None] - a2[:, None], ab) / h[:, None], 0.0, 1.0) + pt = a2[:, None] + t[..., None] * ab[:, None] + rr = (ra + (rb - ra) * t.T).T * S["scale"] + dc = jnp.sqrt(jnp.sum((q[None] - pt) ** 2, -1) + 1e-9) - rr + dist = jnp.concatenate([de, dc], 0) + occ_i = jax.nn.sigmoid(-dist / tau) + occ = 1.0 - jnp.prod(1.0 - occ_i, 0) + occ = occ.reshape(oh, ow) + if return_parts: + return occ, dist.reshape(-1, oh, ow) + return occ + + +def zero_pose(): + return dict(rot=jnp.zeros((NJ, 3), jnp.float32), trans=jnp.zeros(3, jnp.float32)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/bake13.py b/third_party/UO_Model3D_v13/pipeline/body13/bake13.py new file mode 100644 index 0000000..3e297e4 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/bake13.py @@ -0,0 +1,166 @@ +"""bake the v13 body textures from the original UO frames (MakeHuman UV layout): +albedo = sprite colour / UO lighting (ambient + diffuse * max(0, n.L), light fixed to the camera, uo_light.pkl), +robust weighted mean over every visible sample; one texture per UO direction + one from all directions. +usage: bake13.py shape.json poses.json outdir [--size 1024]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, os, json, base64, zlib, pickle, time, numpy as np +from numba import njit +from PIL import Image +from shape13 import Shape, load_params +from skel13 import Skel13 +from posefit13 import Frame13 +from horse_sdf import depth_raster +from fk import rig_world +from mhlib import MH + +shape_fn, poses_fn, outdir = sys.argv[1:4] +TEX = int(sys.argv[sys.argv.index("--size") + 1]) if "--size" in sys.argv else 1024 +os.makedirs(outdir, exist_ok=True) +t0 = time.time() +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]); P = json.load(open(poses_fn)) +S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params(shape_fn), full=True); V = Vf[S.used] +K = Skel13(S, r["R"], r["parent"], bones, Vf) +LIGHT = pickle.load(open(os.path.join(HERE, "..", "uo_light.pkl"), "rb")) +Lc = np.array(LIGHT["L_camera"]); AMB, DIF = LIGHT["ambient"], LIGHT["diffuse"] +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] + + +def load_uv(): + VT, FT, grp = [], [], None + for line in open(MH + "base.obj"): + if line.startswith("vt "): VT.append([float(x) for x in line.split()[1:3]]) + elif line.startswith("g "): grp = line.split()[1] + elif line.startswith("f ") and grp == "body": FT.append([int(t.split("/")[1]) - 1 for t in line.split()[1:]]) + return np.array(VT), FT + + +VT, FT = load_uv() +tri_v, tri_t = [], [] +for f, ft in zip(S.faces, FT): + for j in range(1, len(f) - 1): + tri_v.append((f[0], f[j], f[j + 1])); tri_t.append((ft[0], ft[j], ft[j + 1])) +tri_v = np.array(tri_v, np.int32); tri_t = np.array(tri_t, np.int32) + + +@njit(cache=True) +def texel_map(UV, tri_t, size): + """texel centres inside UV triangles -> (y, x, tri, b0, b1, b2)""" + out = np.zeros((size * size, 6)); n = 0 + owner = np.full((size, size), -1, np.int64) + for t in range(tri_t.shape[0]): + a = UV[tri_t[t, 0]] * size; b = UV[tri_t[t, 1]] * size; c = UV[tri_t[t, 2]] * size + den = (b[1] - c[1]) * (a[0] - c[0]) + (c[0] - b[0]) * (a[1] - c[1]) + if abs(den) < 1e-12: continue + x0 = max(int(np.floor(min(a[0], b[0], c[0]))), 0); x1 = min(int(np.ceil(max(a[0], b[0], c[0]))), size - 1) + y0 = max(int(np.floor(min(a[1], b[1], c[1]))), 0); y1 = min(int(np.ceil(max(a[1], b[1], c[1]))), size - 1) + for y in range(y0, y1 + 1): + for x in range(x0, x1 + 1): + if owner[y, x] >= 0: continue + qx = x + 0.5; qy = y + 0.5 + l0 = ((b[1] - c[1]) * (qx - c[0]) + (c[0] - b[0]) * (qy - c[1])) / den + l1 = ((c[1] - a[1]) * (qx - c[0]) + (a[0] - c[0]) * (qy - c[1])) / den + l2 = 1 - l0 - l1 + if l0 < -1e-6 or l1 < -1e-6 or l2 < -1e-6: continue + owner[y, x] = t + out[n, 0] = y; out[n, 1] = x; out[n, 2] = t; out[n, 3] = l0; out[n, 4] = l1; out[n, 5] = l2; n += 1 + return out[:n] + + +TM = texel_map(VT, tri_t, TEX) +ty = TM[:, 0].astype(int); tx = TM[:, 1].astype(int); tt = TM[:, 2].astype(int); tb = TM[:, 3:6] +NT = len(TM); print("texels", NT, "%.0fs" % (time.time() - t0), flush=True) +TV = tri_v[tt] # (NT, 3) vertex ids per texel +F4 = np.array([f if len(f) == 4 else list(f) + [f[-1]] for f in S.faces]) + + +def normals(X): + a, b, c, e = X[F4[:, 0]], X[F4[:, 1]], X[F4[:, 2]], X[F4[:, 3]] + fn = np.cross(c - a, e - b); n = np.zeros_like(X) + for k in range(4): np.add.at(n, F4[:, k], fn) + return n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + + +def srgb2lin(c): + c = c / 255.0 + return np.where(c <= 0.04045, c / 12.92, ((c + 0.055) / 1.055) ** 2.4) + + +def lin2srgb(c): + c = np.clip(c, 0, 1) + return np.where(c <= 0.0031308, c * 12.92, 1.055 * c ** (1 / 2.4) - 0.055) * 255.0 + + +def pull_push_fill(tex, wt): + levels = [(tex * wt[..., None], wt.copy())] + while levels[-1][1].shape[0] > 1: + c, w = levels[-1]; h = c.shape[0] // 2 + levels.append((c[:2 * h, :2 * h].reshape(h, 2, h, 2, 3).sum((1, 3)), w[:2 * h, :2 * h].reshape(h, 2, h, 2).sum((1, 3)))) + col = levels[-1][0] / np.maximum(levels[-1][1], 1e-9)[..., None] + for c, w in reversed(levels[:-1]): + up = np.repeat(np.repeat(col, 2, 0), 2, 1)[: c.shape[0], : c.shape[1]] + own = c / np.maximum(w, 1e-9)[..., None]; a = np.clip(w, 0, 1)[..., None] + col = own * a + up * (1 - a) + return col + + +# per view samples ------------------------------------------------------------ +fk = {tuple(k): n for n, k in enumerate(r["keys"])} +Vh = np.c_[V, np.ones(len(V))] + + +def gather(): + """yields (d, texel idx, sprite colour (linear), shading, weight) for every view""" + cache = {} + for n, (a, i, d) in enumerate(v["keys"]): + key = "%d,%d" % (a, i) + if key not in P: continue + if (a, i) not in cache: + f = fk[(a, i)] + fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + Sk = fr.skin(np.array(P[key]["x"])) + X = np.einsum("nb,bij,nj->ni", K.SW, Sk, Vh)[:, :3] + cache = {(a, i): (X, normals(X))} + X, Nv = cache[(a, i)] + M = v["C"][n] @ rig_world(d) + h = np.c_[X, np.ones(len(X))] @ M.T + Sx = (h[:, 0] + 1) * 68.0; Sy = (1 - h[:, 1]) * 60.0; Z = h[:, 2].copy() + D = np.full((120, 136), np.inf); depth_raster(np.stack([Sx, Sy], 1), Z, tri_v, D) + Rc = M[:3, :3] / np.linalg.norm(M[:3, :3], axis=1, keepdims=True) + ncam = Nv @ Rc.T; ncam[:, 2] *= -1 + zs = np.linalg.norm(M[2, :3]) + px = np.einsum("nk,nk->n", tb, Sx[TV]); py = np.einsum("nk,nk->n", tb, Sy[TV]); pz = np.einsum("nk,nk->n", tb, Z[TV]) + nt = np.einsum("nk,nkd->nd", tb, ncam[TV]); nt /= np.maximum(np.linalg.norm(nt, axis=1, keepdims=True), 1e-12) + xi = np.floor(px).astype(int); yi = np.floor(py).astype(int) + ok = (xi >= 0) & (xi < 136) & (yi >= 0) & (yi < 120) & (nt[:, 2] > 0.2) + ok[ok] &= pz[ok] <= D[yi[ok], xi[ok]] + 0.015 * zs + o = np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, i, d)])), np.uint8).reshape(120, 136, 4) + al = o[..., 3] > 0 + core = al.copy(); core[1:] &= al[:-1]; core[:-1] &= al[1:]; core[:, 1:] &= al[:, :-1]; core[:, :-1] &= al[:, 1:] + ok[ok] &= core[yi[ok], xi[ok]] + idx = np.nonzero(ok)[0] + col = srgb2lin(o[yi[idx], xi[idx], :3].astype(np.float64)) + sh = AMB + DIF * np.maximum(nt[idx] @ Lc, 0) + yield d, idx, col, sh, nt[idx, 2] ** 2 + + +def accumulate(prev=None, sigma=0.08): + """num / den per direction (robust against prev albedo per direction and for all directions)""" + num = np.zeros((6, NT, 3)); den = np.zeros((6, NT)) + for d, idx, col, sh, w in gather(): + for slot in (d, 5): + ww = w + if prev is not None: + diff = np.linalg.norm(prev[slot][idx] * sh[:, None] - col, axis=1); ww = w * np.exp(-0.5 * (diff / sigma) ** 2) + np.add.at(num[slot], idx, ww[:, None] * col * sh[:, None]); np.add.at(den[slot], idx, ww * sh * sh) + return num / np.maximum(den, 1e-9)[..., None], den + + +a1, _ = accumulate(); print("pass 1 %.0fs" % (time.time() - t0), flush=True) +a2, den = accumulate(a1); print("pass 2 %.0fs" % (time.time() - t0), flush=True) +for tag, slot in [("all", 5)] + [("dir%d" % d, d) for d in range(5)]: + tex = np.zeros((TEX, TEX, 3)); wt = np.zeros((TEX, TEX)) + tex[ty, tx] = lin2srgb(a2[slot]); wt[ty, tx] = np.clip(den[slot] / 0.5, 0, 1) + filled = pull_push_fill(tex, wt) + Image.fromarray(np.clip(filled, 0, 255).astype(np.uint8)[::-1]).save(os.path.join(outdir, "UO_Body_Albedo_%s.png" % tag)) + print(tag, "covered %.1f%%" % (100 * (den[slot] > 1e-9).mean()), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/build_v13.py b/third_party/UO_Model3D_v13/pipeline/body13/build_v13.py new file mode 100644 index 0000000..ca2fbc8 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/build_v13.py @@ -0,0 +1,189 @@ +"""build the v13 .blend: MakeHuman-based UO_Body on the 55-bone UO_Rig, actions re-keyed with the refit poses. +usage: python build_v13.py src.blend shape.json poses.json out.blend +- the 19 UO bones keep their rest pose; new bones: upper_arm_twist / forearm_twist, 15 finger bones, toe (per side) +- forearm / hand / shin / foot do not inherit the parent's scale (the parent's scale X/Z is its girth) +- UO_Body (v12) is replaced by the v13 mesh (no corrective shape keys); the old one is removed +- every refit frame is keyed: bone rotations, pelvis location, girth scale, finger curl and toe""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, sys, os, json, numpy as np +from mathutils import Matrix, Quaternion, Vector +sys.path.insert(0, HERE) +from shape13 import Shape, load_params +from skel13 import Skel13, SIDES +from posefit13 import Frame13, Layout, GIRTH, NO_INHERIT, EXTRA0 +from posefit import rotvec +from fk import qmat + +pos = [a for a in sys.argv[1:] if not a.startswith("--")] +CLOTHS = [a.split("=", 1)[1] for a in sys.argv if a.startswith("--cloth=")] # e.g. --cloth=449:cloth_449.json +MOUNTED = [a.split("=", 1)[1] for a in sys.argv if a.startswith("--mounted=")] +TEXDIR = ([a.split("=", 1)[1] for a in sys.argv if a.startswith("--tex=")] or [None])[0] # baked albedo folder +src, shape_fn, poses_fn, out = pos[-4:] +bpy.ops.wm.open_mainfile(filepath=src) +rig = bpy.data.objects["UO_Rig"]; old = bpy.data.objects["UO_Body"] +v = np.load(os.path.join(HERE, "views_all.npz")) +r = np.load(os.path.join(HERE, "rig_poses.npz")) +bones = list(r["bones"]) +S = Shape(v["U"], v["BV"], v["BDOM"], bones) +Vf = S.build(load_params(shape_fn), full=True); V = Vf[S.used] +K = Skel13(S, r["R"], r["parent"], bones, Vf) +P = json.load(open(poses_fn)) if poses_fn != "-" else {} +for fn in MOUNTED: + P.update(json.load(open(fn))) + +# ------------------------------------------------------------------ rig +bpy.context.view_layer.objects.active = rig +for o in bpy.context.selected_objects: o.select_set(False) +rig.select_set(True) +bpy.ops.object.mode_set(mode="EDIT") +eb = rig.data.edit_bones +for i in range(19, len(K.names)): + n = K.names[i]; R = K.R[i] + b = eb.new(n); b.head = Vector(R[:3, 3]); b.tail = Vector(R[:3, 3] + R[:3, 1] * K.L[i]); b.align_roll(Vector(R[:3, 2])) + b.parent = eb[K.names[K.parent[i]]]; b.use_connect = False; b.use_deform = True +for n in NO_INHERIT: + eb[n].inherit_scale = "NONE" +bpy.ops.object.mode_set(mode="OBJECT") +err = max(np.abs(np.array(rig.data.bones[n].matrix_local) - K.R[i]).max() for i, n in enumerate(K.names)) +print("rig: %d bones, max rest matrix error %.2e" % (len(rig.data.bones), err)) +arm = rig.data +for cname, pred in (("Fingers", lambda n: n.startswith("finger")), ("Twist", lambda n: "twist" in n), ("Toes", lambda n: n.startswith("toe"))): + c = arm.collections.get(cname) or arm.collections.new(cname) + for n in K.names: + if pred(n): c.assign(arm.bones[n]) +for i in range(19, len(K.names)): + rig.pose.bones[K.names[i]].rotation_mode = "QUATERNION" + +# ------------------------------------------------------------------ body +mats = [m for m in old.data.materials] +old_name = old.name; old.name = "UO_Body_v12" +me = bpy.data.meshes.new("UO_Body") +me.from_pydata(V.tolist(), [], [list(f) for f in S.faces]); me.update() +for p in me.polygons: p.use_smooth = True +body = bpy.data.objects.new("UO_Body", me) +for c in old.users_collection: c.objects.link(body) +body.parent = rig; body.matrix_parent_inverse = rig.matrix_world.inverted(); body.matrix_world = Matrix(np.eye(4).tolist()) +for j, n in enumerate(K.names): + g = body.vertex_groups.new(name=n) + for vi in np.nonzero(K.SW[:, j] > 1e-4)[0]: + g.add([int(vi)], float(K.SW[vi, j]), "REPLACE") +m = body.modifiers.new("Armature", "ARMATURE"); m.object = rig +# UVs (MakeHuman layout) + the v12 material with the v13 textures baked from the original frames +VT, FT = [], []; grp = None +for line in open(os.path.join(HERE, "base.obj")): + if line.startswith("vt "): VT.append([float(x) for x in line.split()[1:3]]) + elif line.startswith("g "): grp = line.split()[1] + elif line.startswith("f ") and grp == "body": FT.append([int(t.split("/")[1]) - 1 for t in line.split()[1:]]) +uvl = me.uv_layers.new(name="UVMap") +for p, ft in zip(me.polygons, FT): + for li, t in zip(p.loop_indices, ft): + uvl.data[li].uv = VT[t] +if TEXDIR and mats: + skin = mats[0] + skin.name = "UO_Skin" + for nd in skin.node_tree.nodes: + if nd.type == "TEX_IMAGE" and nd.image and nd.image.name.startswith("UO_Body_"): + tag = "all" if nd.image.name == "UO_Body_Texture" else nd.image.name.split("_")[-1] + fn = os.path.join(TEXDIR, "UO_Body_Albedo_%s.png" % tag) + old_img = nd.image; nm = old_img.name + img = bpy.data.images.load(fn); img.colorspace_settings.name = old_img.colorspace_settings.name; img.pack() + nd.image = img; bpy.data.images.remove(old_img); img.name = nm + me.materials.append(skin) +else: + skin = bpy.data.materials.get("UO_Skin_v13") or bpy.data.materials.new("UO_Skin_v13") + skin.use_nodes = True; skin.node_tree.nodes["Principled BSDF"].inputs["Base Color"].default_value = (0.8, 0.62, 0.5, 1) + me.materials.append(skin) +bpy.data.objects.remove(old, do_unlink=True) +for o in [o for o in bpy.data.objects if o.name.startswith("UO_Body_v13")]: + bpy.data.objects.remove(o, do_unlink=True) + +# ------------------------------------------------------------------ actions +L = Layout(K.names); fr_keys = {tuple(k): n for n, k in enumerate(r["keys"])} +acts = {int(a["uo_action"]): a for a in bpy.data.actions if "uo_action" in a} +keyed = 0 +for key, rec in P.items(): + a, i = map(int, key.split(",")); act = acts[a]; f = fr_keys[(a, i)]; frame = 1 + 3 * i + x = np.array(rec["x"]); rr = x[:57].reshape(19, 3); dl = x[57:60]; g = x[L.o_g:L.o_e].reshape(-1, 2); e = x[L.o_e:] + rig.animation_data.action = act + for b in range(19): + pb = rig.pose.bones[bones[b]] + q = Matrix((qmat(r["quat"][f, b]) @ rotvec(rr[b])).tolist()).to_quaternion() + if q.dot(Quaternion(r["quat"][f, b])) < 0: q.negate() + pb.rotation_quaternion = q; pb.keyframe_insert("rotation_quaternion", frame=frame) + if b == 0: + pb.location = Vector(r["loc"][f, 0] + dl); pb.keyframe_insert("location", frame=frame) + for k, bn in enumerate(GIRTH): + pb = rig.pose.bones[bn]; pb.scale = (float(np.exp(g[k, 0])), 1.0, float(np.exp(g[k, 1]))) + pb.keyframe_insert("scale", frame=frame) + ext = K.extra_bases({".L": e[0], ".R": e[1]}, {".L": e[2], ".R": e[3]}, {".L": e[4], ".R": e[5]}) + for bn, M in ext.items(): + pb = rig.pose.bones[bn]; pb.rotation_quaternion = Matrix(M.tolist()).to_quaternion() + pb.keyframe_insert("rotation_quaternion", frame=frame) + keyed += 1 +# actions without refit frames (mounted, for now): fists, no girth +for a, act in acts.items(): + rig.animation_data.action = act + for i in range(int(act["uo_frames"])): + if "%d,%d" % (a, i) in P: continue + ext = K.extra_bases({".L": 1.0, ".R": 1.0}, {".L": 1.0, ".R": 1.0}, {".L": 0.0, ".R": 0.0}) + for bn, M in ext.items(): + pb = rig.pose.bones[bn]; pb.rotation_quaternion = Matrix(M.tolist()).to_quaternion() + pb.keyframe_insert("rotation_quaternion", frame=1 + 3 * i) +# ------------------------------------------------------------------ cloth chain rigs + templates +from cloth13 import make_cloth, KINDS +from mathutils import Matrix as _M +tcoll = bpy.data.collections.get("Templates") or bpy.data.collections.new("Templates") +if tcoll.name not in [c.name for c in bpy.context.scene.collection.children]: + bpy.context.scene.collection.children.link(tcoll) +for spec in CLOTHS: + anim, fn = spec.split(":"); anim = int(anim); CFIT = json.load(open(fn)) + kind, zt, zh = KINDS[anim] + crig, CV, CF, CW, top, par = make_cloth(K, V, kind, zt, zh, faces=S.faces) + bpy.context.view_layer.objects.active = rig; bpy.ops.object.mode_set(mode="EDIT"); eb = rig.data.edit_bones + for b, n in enumerate(crig.names): + if n in eb: eb.remove(eb[n]) + for b, n in enumerate(crig.names): + R = crig.R[b]; e = eb.new(n); e.head = Vector(R[:3, 3]); e.tail = Vector(R[:3, 3] + R[:3, 1] * crig.L[b]); e.align_roll(Vector(R[:3, 2])) + e.parent = eb[par] if isinstance(crig.par[b], str) else eb[crig.names[crig.par[b]]]; e.use_deform = True + bpy.ops.object.mode_set(mode="OBJECT") + c = arm.collections.get("Cloth") or arm.collections.new("Cloth") + for n in crig.names: + c.assign(arm.bones[n]); rig.pose.bones[n].rotation_mode = "QUATERNION" + tname = "UO_Template_" + ("Cloak" if kind == "cloak" else "Skirt") + if tname in bpy.data.objects: bpy.data.objects.remove(bpy.data.objects[tname], do_unlink=True) + tm = bpy.data.meshes.new(tname); tm.from_pydata(CV.tolist(), [], CF.tolist()); tm.update() + to = bpy.data.objects.new(tname, tm); tcoll.objects.link(to) + to.parent = rig; to.matrix_parent_inverse = rig.matrix_world.inverted() + for j, n in enumerate(crig.wnames): + if not (CW[:, j] > 1e-4).any(): continue + g = to.vertex_groups.new(name=n) + for vi in np.nonzero(CW[:, j] > 1e-4)[0]: g.add([int(vi)], float(CW[vi, j]), "REPLACE") + to.modifiers.new("Armature", "ARMATURE").object = rig + to.hide_render = True; to.display_type = "WIRE" + from cloth13 import rotxz + for key, rec in CFIT.items(): + a, i = map(int, key.split(",")); rig.animation_data.action = acts[a] + ang = np.array(rec["x"]).reshape(-1, 2) + for b, n in enumerate(crig.names): + pb = rig.pose.bones[n]; pb.rotation_quaternion = _M(rotxz(ang[b, 0], ang[b, 1]).tolist()).to_quaternion() + pb.keyframe_insert("rotation_quaternion", frame=1 + 3 * i) + print("cloth", tname, len(crig.names), "bones,", len(CFIT), "frames keyed") +# ------------------------------------------------------------------ user scripts (v13-aware versions) +PIPE = os.path.join(HERE, "..", "") +for tn in ("render_uo_layer.py", "uo_bind_item.py", "uo_fit_item.py", "uo_transfer_corrections.py"): + t = bpy.data.texts.get(tn) or bpy.data.texts.new(tn); t.from_string(open(PIPE + tn).read()) +# example shirt: drop the v12 corrections, push it out of the new skin and bind it again +shirt = bpy.data.objects.get("Example_Shirt") +if shirt is not None: + if shirt.data.shape_keys: + shirt.shape_key_clear() + rig.animation_data.action = None + for o in bpy.context.selected_objects: o.select_set(False) + shirt.select_set(True); bpy.context.view_layer.objects.active = shirt + exec(compile(bpy.data.texts["uo_fit_item.py"].as_string(), "uo_fit_item.py", "exec"), {"__name__": "__main__"}) + src_ = bpy.data.texts["uo_bind_item.py"].as_string().replace('PART = "all"', 'PART = "chest"', 1) + exec(compile(src_, "uo_bind_item.py", "exec"), {"__name__": "__main__"}) +rig.animation_data.action = acts[4] if 4 in acts else list(acts.values())[0] +bpy.ops.wm.save_as_mainfile(filepath=out, compress=True) +print("built", out, "| keyed frames", keyed, "| body verts", len(V)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/cloth13.py b/third_party/UO_Model3D_v13/pipeline/body13/cloth13.py new file mode 100644 index 0000000..751a261 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/cloth13.py @@ -0,0 +1,207 @@ +"""cloth chain rigs for v13: a skirt ring (chains around the pelvis) and a cloak (chains down the back). +Each chain is a string of bones; a bone swings about its local X (out / in, radial) and Z (sideways). +Template meshes are generated around the rest body and weighted to the chains (angle x height blend).""" +import numpy as np +from skel13 import frame_from + + +def rotxz(ax, az): + cx, sx, cz, sz = np.cos(ax), np.sin(ax), np.cos(az), np.sin(az) + Rx = np.array([[1, 0, 0], [0, cx, -sx], [0, sx, cx]]); Rz = np.array([[cz, -sz, 0], [sz, cz, 0], [0, 0, 1]]) + return Rx @ Rz + + +def section_radius(V, center, z, phis, slab=0.02, margin=0.012): + """max radius of the body around `center` at height z per direction (angular bins), smoothed""" + sel = np.abs(V[:, 2] - z) < slab + rel = V[sel, :2] - center[:2] + ang = np.arctan2(rel[:, 1], rel[:, 0]); rad = np.linalg.norm(rel, axis=1) + nb = 72; bins = ((ang + np.pi) / (2 * np.pi) * nb).astype(int) % nb + rmax = np.zeros(nb) + np.maximum.at(rmax, bins, rad) + # fill empty bins, smooth circularly + if (rmax > 0).any(): + idx = np.nonzero(rmax > 0)[0] + allb = np.arange(nb) + rmax = np.interp(allb, np.r_[idx - nb, idx, idx + nb], np.r_[rmax[idx], rmax[idx], rmax[idx]]) + k = np.array([1, 2, 3, 2, 1], float); k /= k.sum() + rmax = np.convolve(np.r_[rmax[-2:], rmax, rmax[:2]], k, "valid") + pb = ((np.asarray(phis) + np.pi) / (2 * np.pi) * nb) % nb + return np.interp(pb, np.arange(nb + 1), np.r_[rmax, rmax[0]]) + margin + + +class ChainRig: + """generic: chains[k] = list of rest points (S+1, 3), out[k] = outward hint per chain; parent bone name""" + def __init__(self, prefix, chains, outward, parent): + self.prefix, self.parent = prefix, parent + self.nc, self.ns = len(chains), len(chains[0]) - 1 + self.names, self.R, self.L, self.par = [], [], [], [] + for k, pts in enumerate(chains): + for s in range(self.ns): + M, ln = frame_from(pts[s], pts[s + 1], outward[k]) + self.names.append("%s_%d_%d" % (prefix, k, s + 1)); self.R.append(M); self.L.append(ln) + self.par.append(parent if s == 0 else len(self.names) - 2) + self.R = np.array(self.R); self.L = np.array(self.L); self.Rinv = np.linalg.inv(self.R) + self.chains = chains + + def bone(self, k, s): + return k * self.ns + s + + def pose(self, x, P_parent, R_parent): + """x: (nc*ns*2) swing angles -> skin matrices (armature space) of the chain bones""" + n = len(self.names); P = np.zeros((n, 4, 4)); a = x.reshape(n, 2) + base = P_parent @ np.linalg.inv(R_parent) + for b in range(n): + M = np.eye(4); M[:3, :3] = rotxz(a[b, 0], a[b, 1]) + p = self.par[b] + P[b] = (base if isinstance(p, str) else P[p] @ self.Rinv[p]) @ self.R[b] @ M + return P @ self.Rinv + + +def skirt(V, pelvis_head, z_top, z_hem, nc=8, ns=3, flare=0.03, cols_per=4, rows_per=4, margin=0.012, keep=None, + arc=None, prefix="skirt", parent="pelvis", center=None): + """cloth ring around the body from z_top down to z_hem (arc=None: closed skirt; arc=(a0, a1) radians: open, e.g. a + cloak around the back); returns rig, verts, faces, weights, top ring. + keep: body vertices used for the envelope (torso + legs, not the arms)""" + if keep is not None: + V = V[keep] + if center is None: + center = np.array([pelvis_head[0], np.median(V[np.abs(V[:, 2] - z_top) < 0.03, 1]), 0.0]) + zs = np.linspace(z_top, z_hem, ns + 1) + closed = arc is None + th = (-np.pi / 2 + 2 * np.pi * np.arange(nc) / nc) if closed else np.linspace(arc[0], arc[1], nc) + def rad_at(phis, z_list): + out = []; prev = None + for j, z in enumerate(z_list): + r = section_radius(V, center, z, phis, margin=margin) + if prev is not None: + r = np.maximum(r, prev) + r = r + flare * (z_top - z) / max(z_top - z_hem, 1e-6) + out.append(r); prev = r + return np.array(out) + rc = rad_at(th, zs) + chains = [np.array([[center[0] + rc[j, k] * np.cos(th[k]), center[1] + rc[j, k] * np.sin(th[k]), zs[j]] for j in range(ns + 1)]) for k in range(nc)] + outward = [np.array([np.cos(t), np.sin(t), 0.0]) for t in th] + rig = ChainRig(prefix, chains, outward, parent) + M_ = nc * cols_per if closed else (nc - 1) * cols_per + 1 + R_ = ns * rows_per + phis = (-np.pi / 2 + 2 * np.pi * np.arange(M_) / M_) if closed else np.linspace(arc[0], arc[1], M_) + zr = np.linspace(z_top, z_hem, R_ + 1) + rr = rad_at(phis, zr) + verts = np.array([[center[0] + rr[j, c] * np.cos(phis[c]), center[1] + rr[j, c] * np.sin(phis[c]), zr[j]] for j in range(R_ + 1) for c in range(M_)]) + cols = M_ if closed else M_ - 1 + faces = [[j * M_ + c, j * M_ + (c + 1) % M_, (j + 1) * M_ + (c + 1) % M_, (j + 1) * M_ + c] for j in range(R_) for c in range(cols)] + W = np.zeros((len(verts), len(rig.names))) + for j in range(R_ + 1): + t = j / rows_per + for c in range(M_): + u = c / cols_per; k0 = int(np.floor(u)) % nc if closed else min(int(np.floor(u)), nc - 2) + k1 = (k0 + 1) % nc; fu = u - k0 if not closed else u - np.floor(u) + for k, wk in ((k0, 1 - fu), (k1, fu)): + s = min(int(np.floor(t)), ns - 1); ft = t - s + if ft < 0.5 and s > 0: + a_ = 0.5 + ft; W[j * M_ + c, rig.bone(k, s)] += wk * a_; W[j * M_ + c, rig.bone(k, s - 1)] += wk * (1 - a_) + elif ft > 0.5 and s < ns - 1: + a_ = 1.5 - ft; W[j * M_ + c, rig.bone(k, s)] += wk * a_; W[j * M_ + c, rig.bone(k, s + 1)] += wk * (1 - a_) + else: + W[j * M_ + c, rig.bone(k, s)] += wk + return rig, verts, np.array(faces), W, np.arange(M_) + + +def cloak(V, R_chest, z_top, z_hem, x_half, nc=5, ns=4, cols_per=3, rows_per=3, margin=0.02): + """cloak down the back (+Y side of the body) from the shoulders (z_top) to z_hem, width 2*x_half at the top""" + xs = np.linspace(-x_half, x_half, nc) + zs = np.linspace(z_top, z_hem, ns + 1) + def back_y(x, z): + sel = (np.abs(V[:, 2] - z) < 0.03) & (np.abs(V[:, 0] - x) < 0.04) + return (V[sel, 1].max() if sel.any() else V[:, 1].max()) + margin + chains = [] + for x in xs: + pts = []; ymax = -np.inf + for j, z in enumerate(zs): + ymax = max(ymax, back_y(x, z)); pts.append([x * (1 + 0.25 * j / ns), ymax + 0.02 * j, z]) + chains.append(np.array(pts)) + outward = [np.array([0.0, 1.0, 0.0])] * nc + rig = ChainRig("cloak", chains, outward, "chest") + M_ = (nc - 1) * cols_per + 1; R_ = ns * rows_per + verts = []; W = [] + for j in range(R_ + 1): + t = j / rows_per + for c in range(M_): + u = c / cols_per; k0 = min(int(np.floor(u)), nc - 2); fu = u - k0 + s = min(int(np.floor(t)), ns - 1); ft = t - s + p0 = chains[k0][s] + (chains[k0][s + 1] - chains[k0][s]) * ft; p1 = chains[k0 + 1][s] + (chains[k0 + 1][s + 1] - chains[k0 + 1][s]) * ft + verts.append(p0 * (1 - fu) + p1 * fu) + w = np.zeros(len(rig.names)) + for k, wk in ((k0, 1 - fu), (k0 + 1, fu)): + if ft < 0.5 and s > 0: + a = 0.5 + ft; w[rig.bone(k, s)] += wk * a; w[rig.bone(k, s - 1)] += wk * (1 - a) + elif ft > 0.5 and s < ns - 1: + a = 1.5 - ft; w[rig.bone(k, s)] += wk * a; w[rig.bone(k, s + 1)] += wk * (1 - a) + else: + w[rig.bone(k, s)] += wk + W.append(w) + faces = [[j * M_ + c, j * M_ + c + 1, (j + 1) * M_ + c + 1, (j + 1) * M_ + c] for j in range(R_) for c in range(M_ - 1)] + return rig, np.array(verts), np.array(faces), np.array(W), np.arange(M_) + + +KINDS = {449: ("skirt", 0.12, 0.10), 455: ("skirt", 0.12, 0.50), 469: ("skirt", 0.12, 0.10), 447: ("skirt", 0.12, 0.10), + 448: ("skirt", 0.12, 0.10), 468: ("cloak", -0.02, 0.18)} + + +def body_shell(K, V, faces, keep, thick): + """part of the body skin (vertices `keep`), pushed out along the normals, with the body skin weights""" + F4 = np.array([f if len(f) == 4 else list(f) + [f[-1]] for f in faces]) + a, b, c, e = V[F4[:, 0]], V[F4[:, 1]], V[F4[:, 2]], V[F4[:, 3]] + fn = np.cross(c - a, e - b); n = np.zeros_like(V) + for k in range(4): np.add.at(n, F4[:, k], fn) + n /= np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + idx = np.nonzero(keep)[0]; remap = -np.ones(len(V), int); remap[idx] = np.arange(len(idx)) + SF = [[remap[i] for i in f] for f in faces if keep[list(f)].all()] + SF = [f if len(f) == 4 else f + [f[-1]] for f in SF] + return V[idx] + n[idx] * thick, np.array(SF), K.SW[idx] + + +import os as _os +CLOAK_ARC = tuple(float(x) for x in _os.environ.get("CLOAK_ARC", "0,180").split(",")) +CLOAK_MARGIN = float(_os.environ.get("CLOAK_MARGIN", "0.035")) + + +def make_cloth(K, V, kind, zt, zh, faces=None): + """cloth template: bone chains + (with faces) a top part that hugs the body (skirt: waistband, cloak: yoke over the + shoulders), weighted to the body bones. rig.wnames = weight columns (chain bones, then body bones)""" + arms = [K.ix[n] for n in K.names if n.startswith(("upper_arm", "forearm", "hand", "finger", "clavicle"))] + keep = K.SW[:, arms].sum(1) < 0.3 + ph = K.R[K.ix["pelvis"]][:3, 3]; sp = K.R[K.ix["spine"]][:3, 3] + dom = np.array([K.names[j] for j in K.SW.argmax(1)]) + if kind == "skirt": + z0 = sp[2] + zt + out = skirt(V, ph, z0, zh, keep=keep) + ("pelvis",) + sel = np.isin(dom, ["pelvis", "spine", "chest"]) & (V[:, 2] > z0 - 0.015) & (V[:, 2] < z0 + 0.07) + thick = 0.014 + else: + sh = K.R[K.ix["upper_arm.L"]][:3, 3] + keep_c = keep | ((K.SW[:, arms].sum(1) >= 0.3) & (V[:, 2] > sh[2] - 0.12)) + ctr = np.array([0.0, K.R[K.ix["neck"]][1, 3], 0.0]) + out = skirt(V, ph, sh[2] + zt, zh, nc=7, ns=4, keep=keep_c, arc=(np.radians(CLOAK_ARC[0]), np.radians(CLOAK_ARC[1])), + prefix="cloak", parent="chest", center=ctr, margin=CLOAK_MARGIN, flare=0.05) + ("chest",) + yn = K.R[K.ix["neck"]][1, 3]; zn = K.R[K.ix["neck"]][2, 3]; zh_ = K.R[K.ix["head"]][2, 3] + sel = np.isin(dom, ["chest", "clavicle.L", "clavicle.R", "neck", "spine", "upper_arm.L", "upper_arm.R", + "upper_arm_twist.L", "upper_arm_twist.R"]) & (V[:, 2] > sh[2] + zt - 0.03) & (V[:, 2] < zh_ - 0.015) + sel &= (V[:, 1] > -0.03) | (V[:, 2] > sh[2] + 0.03) + thick = 0.022 + rig, CV, CF, CW, top, par = out + rig.wnames = list(rig.names) + if faces is None: + return rig, CV, CF, CW, top, par + SV, SF, SW = body_shell(K, V, faces, sel, thick) + if len(SF) == 0: + return rig, CV, CF, CW, top, par + nc = len(rig.names) + W = np.zeros((len(CV) + len(SV), nc + len(K.names))) + W[:len(CV), :nc] = CW; W[len(CV):, nc:] = SW + rig.wnames = list(rig.names) + list(K.names) + CF4 = np.array([list(f) for f in CF]) + return rig, np.vstack([CV, SV]), np.vstack([CF4, SF + len(CV)]), W, top, par + + diff --git a/third_party/UO_Model3D_v13/pipeline/body13/cloth_449all.json b/third_party/UO_Model3D_v13/pipeline/body13/cloth_449all.json new file mode 100644 index 0000000..6044749 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/cloth_449all.json @@ -0,0 +1 @@ +{"0,0": {"x": [0.48, 0.24, -0.44999999999999996, 0.12, -0.03, -0.2699999999999999, 0.3, -0.24, -0.3, 0.06, 0.09, -0.27, 0.24, -0.36, -0.48, -0.18, 0.24, -0.36, 0.0, 0.0, -0.12, -0.12, -0.06, -0.36, 0.24, 0.24, -0.24, 0.0, 0.03, -0.24, 0.18, 0.06, -0.48, 0.24, -0.03, -0.09, 0.0, 0.06, -0.24, 0.24, -0.15, -0.03, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0], "iou": 0.8489839012950945, "pen": 0.0}, "0,1": {"x": [0.32999999999999996, -0.03, -0.47999999999999976, 0.21, -0.18000000000000002, -0.08999999999999991, 0.09, -0.24, -0.3, 0.06, -0.15, -0.030000000000000027, 0.21, -0.12, -0.39, -0.06, -0.12, 0.12, 0.0, 0.06, -0.03, 0.0, 0.06, -0.12, 0.15, 0.24, -0.18, 0.0, 0.03, -0.15, 0.15, 0.06, -0.3899999999999999, 0.21, -0.03, -0.09, 0.0, 0.12, -0.24, 0.12, -0.15, -0.03, 0.0, 0.0, 0.0, -0.18, -0.3, -0.03], "iou": 0.860561373879398, "pen": 6.567554041506107e-05}, "0,2": {"x": [0.48, -0.03, -0.5999999999999996, 0.03, -0.33000000000000007, 0.12000000000000008, 0.09, -0.24, -0.3, -0.06, -0.15, 0.08999999999999997, 0.21, -0.18, -0.39, -0.06, -0.3, 0.09, 0.0, 0.06, -0.03, -0.12, -0.15, -0.09, 0.15, 0.0, -0.18, -0.12, -0.09, -0.03, 0.15, 0.06, -0.3299999999999999, 0.09, -0.09, 0.030000000000000027, 0.0, -0.12, -0.27, -0.21, -0.24000000000000002, -2.7755575615628914e-17, 0.0, 0.0, 0.0, -0.42, -0.54, -0.03], "iou": 0.8440765750941533, "pen": 0.0006379471546839738}, "0,3": {"x": [0.9299999999999999, -0.12000000000000002, -0.9299999999999996, -0.03, -0.66, 0.12000000000000008, 0.09, -0.24, -0.3, -0.06, -0.06, 0.11999999999999997, 0.21, 0.06, -0.39, -0.06, -0.3, -0.03, 0.0, 0.12, -0.03, -0.12, -0.15000000000000002, -0.09, 0.27, -0.06, -0.3, 0.06, -0.15, -0.15000000000000002, 0.15, -0.06, -0.3299999999999999, -0.09, -0.15, -0.08999999999999997, 0.0, -0.09, -0.24000000000000002, -0.21, -0.27, -0.09000000000000002, 0.24, 0.24, -0.18, -0.48000000000000004, -0.51, -0.09], "iou": 0.8161189923646341, "pen": 0.0}, "0,4": {"x": [0.6299999999999999, -0.030000000000000027, -0.5399999999999996, -0.09, -0.33000000000000007, 0.030000000000000082, 0.09, 0.0, -0.3, -0.18, -0.06, -0.030000000000000027, 0.21, 0.24, -0.39, 0.0, -0.3, -0.06, 0.0, 0.3, -0.03, 0.06, -0.030000000000000027, -0.06, 0.51, -0.06, -0.54, 0.06, 0.06, -0.030000000000000027, 0.06, 0.27, -0.3299999999999999, 0.09, -0.09, -0.05999999999999997, 0.03, 0.15, -0.030000000000000027, -0.06, -0.24000000000000002, -2.7755575615628914e-17, 0.21, 0.12, -0.18, -0.21000000000000005, -0.44999999999999996, -0.03], "iou": 0.8264268716291585, "pen": 0.0}, "0,5": {"x": [0.7499999999999999, 0.08999999999999997, -0.6599999999999996, -0.32999999999999996, -0.21000000000000008, 0.030000000000000082, 0.09, 0.03, -0.3, -0.18, -0.09, -0.060000000000000026, 0.21, 0.36, -0.39, -0.12, -0.3, -0.18, 0.24, 0.36, -0.33, -0.12, -0.030000000000000027, -0.12, 0.75, -0.06, -0.78, -0.06, 0.06, 0.02999999999999997, 0.06, 0.27, -0.3299999999999999, 0.09, -0.03, -0.05999999999999997, -0.03, 0.18, -0.18000000000000002, -0.03, -0.18000000000000002, -2.7755575615628914e-17, 0.21, 0.12, -0.18, -0.27, -0.26999999999999996, 0.0], "iou": 0.7858570750990438, "pen": 0.0}, "0,6": {"x": [0.4499999999999999, 0.02999999999999997, -0.5999999999999996, -0.23999999999999996, -0.15000000000000008, 0.06000000000000008, 0.06, 0.03, -0.27, -0.27, -0.03, 0.05999999999999997, 0.21, 0.42, -0.39, -0.12, -0.24, -0.06, 0.24, 0.3, -0.42000000000000004, -0.03, -2.7755575615628914e-17, 0.06, 0.5099999999999998, 0.15, -0.78, -0.06, -0.06, 0.14999999999999997, 0.06, 0.15000000000000002, -0.3299999999999999, 0.15, 0.09, 2.7755575615628914e-17, 0.15, 0.24, -0.42000000000000004, -0.03, 0.05999999999999997, -2.7755575615628914e-17, 0.21, 0.18, -0.42, -0.15000000000000002, -0.02999999999999997, 0.03], "iou": 0.8228877709862917, "pen": 0.0}, "0,7": {"x": [0.20999999999999996, 0.02999999999999997, -0.47999999999999965, -0.29999999999999993, -0.12000000000000013, 0.09000000000000008, 0.3, 0.030000000000000027, -0.5700000000000001, -0.44999999999999996, -0.36, 0.29999999999999993, 0.09, 0.12, -0.39, -0.18, -0.24, 0.06, 0.24, 0.06, -0.42000000000000004, -0.03, 0.05999999999999997, 0.06, 0.4499999999999998, 0.36, -0.72, -0.12, 0.06, 0.05999999999999997, 0.12, 0.15000000000000002, -0.3299999999999999, 0.15, 0.09, -0.08999999999999997, 0.15, 0.0, -0.42000000000000004, -0.09, -2.7755575615628914e-17, -0.060000000000000026, 0.03, -0.03, -0.3, -0.18000000000000002, -0.02999999999999997, 0.0], "iou": 0.8512821047878413, "pen": 0.0}, "0,8": {"x": [0.57, 0.26999999999999996, -0.7499999999999997, -0.2699999999999999, -0.3600000000000001, 0.030000000000000082, 0.45000000000000007, 0.060000000000000026, -0.75, -0.26999999999999996, -0.36, 0.17999999999999994, 0.09, 0.12, -0.36, -0.09, -0.03, 0.15, 0.24, 0.18, -0.45000000000000007, -0.27, -0.15000000000000002, 0.21, 0.4499999999999998, 0.32999999999999996, -0.72, -0.09, 0.24, -0.030000000000000027, 0.12, 0.15000000000000002, -0.3299999999999999, 0.15, 0.03, -0.08999999999999997, 0.09, 0.06, -0.27, -0.09, -0.060000000000000026, -0.18000000000000002, 0.03, 0.12, -0.21, -0.21000000000000002, -0.20999999999999996, -0.06], "iou": 0.8525548724618852, "pen": 0.0}, "0,9": {"x": [0.69, 0.26999999999999996, -0.6299999999999997, -0.2699999999999999, -0.45000000000000007, 0.030000000000000082, 0.5700000000000001, 0.060000000000000026, -0.75, -0.26999999999999996, -0.24, 0.17999999999999994, 0.12, 0.06, -0.36, -0.18, -0.03, 0.18, 0.42, 0.18, -0.6900000000000001, 0.02999999999999997, -0.21000000000000002, 0.21, 0.4499999999999998, 0.32999999999999996, -0.72, -0.06, 0.30000000000000004, -2.7755575615628914e-17, 0.12, 0.15000000000000002, -0.3299999999999999, 0.15, 0.03, -0.11999999999999997, 0.09, 0.3, -0.21000000000000002, -0.09, -0.30000000000000004, -0.30000000000000004, 0.03, 0.3, -0.21, -0.15000000000000002, -0.20999999999999996, -0.06], "iou": 0.8138240376891698, "pen": 0.0}, "1,0": {"x": [0.24000000000000002, 0.24, -0.06, 0.0, -0.18, -0.12, 0.24, -0.06, -0.12, -0.24, -0.03, -0.21, 0.24, -0.32999999999999996, -0.41999999999999993, -0.24, 0.12, -0.36, 0.0, 0.0, 0.0, -0.24, -0.27, -0.24, 0.24, 0.24, -0.03, -0.27, -0.44999999999999996, 0.12, 0.24, 0.0, -0.36, -0.12, -0.24, 0.12, 0.0, -0.15, -0.21, 0.0, -0.15, 0.03, 0.0, 0.0, -0.03, -0.03, -0.27, -0.03], "iou": 0.8643958679052586, "pen": 0.0}, "1,1": {"x": [0.24000000000000002, 0.0, -0.36, 0.03, -0.39, -0.09, 0.24, -0.06, -0.36, -0.12, -0.24000000000000002, -0.21, 0.24, -0.08999999999999997, -0.6599999999999999, -0.12, 0.24, -0.3, 0.0, 0.0, 0.0, -0.24, -0.15000000000000002, 0.0, 0.12, 0.06, 0.03, -0.15000000000000002, -0.20999999999999996, 0.06, 0.21, 0.06, -0.36, -0.18, -0.06, -0.09, 0.0, -0.15, -0.18, -0.12, -0.15, -0.06, 0.0, 0.0, -0.03, -0.15, -0.27, 0.0], "iou": 0.8655208135425638, "pen": 0.0}, "1,2": {"x": [0.36, -0.12, -0.44999999999999996, 0.09, -0.45000000000000007, 0.03, 0.24, -0.18, -0.39, 0.06, -0.09000000000000002, -0.11999999999999997, 0.24, 0.030000000000000027, -0.6599999999999999, -0.12, 0.18, -0.12, 0.0, 0.0, 0.0, -0.27, -0.15000000000000002, 0.12, 0.12, 0.06, -0.21, -0.30000000000000004, 0.030000000000000027, -0.06, 0.03, -0.09, -0.27, -0.09, -0.12, -0.09, 0.0, -0.15, -0.18, -0.12, -0.21, -0.06, 0.0, 0.0, -0.03, -0.39, -0.63, 0.06], "iou": 0.8666702538797683, "pen": 0.0}, "1,3": {"x": [0.54, -0.12, -0.6299999999999999, 0.02999999999999997, -0.33000000000000007, -0.03, 0.24, -0.15, -0.39, -0.15, -0.30000000000000004, 0.030000000000000027, 0.24, 0.030000000000000027, -0.6599999999999999, -0.12, 0.18, 0.0, 0.0, 0.0, 0.0, -0.27, -0.09000000000000002, 0.36, 0.12, 0.06, -0.21, -0.30000000000000004, 0.27, 0.24, 0.21000000000000002, 0.15, -0.45, -0.11999999999999997, -0.12, 0.03, 0.0, -0.03, -0.3, -0.15, -0.21, -0.03, 0.18, -0.06, -0.27, -0.15000000000000002, -0.39, 0.0], "iou": 0.8615434188173172, "pen": 0.0}, "1,4": {"x": [0.78, -0.12, -0.8399999999999999, -2.7755575615628914e-17, -0.15000000000000008, 0.09, 0.24, -0.12, -0.39, -0.12, -0.27, 0.060000000000000026, 0.21, -0.05999999999999997, -0.6299999999999999, -0.15, 0.06, 0.06, 0.0, 0.0, -0.06, -0.27, -0.030000000000000027, 0.36, 0.36, 0.06, -0.44999999999999996, -0.30000000000000004, 0.27, 0.24, 0.21000000000000002, 0.15, -0.45, -0.24, -0.3, 0.06, 0.0, -0.03, -0.3, -0.15, -0.24, 0.03, 0.21, -0.06, -0.30000000000000004, -0.18000000000000002, -0.30000000000000004, 0.03], "iou": 0.8417552547553748, "pen": 0.0}, "1,5": {"x": [0.30000000000000004, -0.36, -0.5399999999999998, -2.7755575615628914e-17, -0.09000000000000008, 0.02999999999999997, 0.24, -0.36, -0.39, -0.36, -0.030000000000000027, 0.12000000000000002, 0.21, -0.05999999999999997, -0.6299999999999999, -0.15, 0.06, 0.12, 0.0, 0.0, -0.06, -0.27, -0.24000000000000002, 0.39, 0.54, -0.06, -0.44999999999999996, -0.18000000000000005, -0.05999999999999997, 0.36, 0.21000000000000002, 0.03, -0.45, -0.18, -0.18, 0.09, 0.0, 0.03, -0.3, -0.15, -0.18, 0.03, 0.21, -0.06, -0.42000000000000004, -0.18000000000000002, -0.15000000000000005, -0.03], "iou": 0.8193033215407439, "pen": 0.0}, "1,6": {"x": [0.06000000000000005, -0.36, -0.4199999999999998, -2.7755575615628914e-17, 0.08999999999999991, 0.20999999999999996, 0.0, -0.36, -0.27, 0.0, 0.11999999999999997, 0.24000000000000002, 0.21, -0.05999999999999997, -0.6299999999999999, -0.15, 0.06, 0.18, 0.0, 0.0, -0.06, -0.27, -0.09000000000000002, 0.39, 0.21000000000000002, -0.03, -0.32999999999999996, -0.27, 0.18000000000000005, 0.18, 0.21000000000000002, -0.09, -0.45, -0.36, 0.12, 0.0, 0.0, 0.03, -0.36, -0.39, -0.06, 0.0, 0.15, -0.12, -0.48000000000000004, -0.18000000000000002, -0.030000000000000054, -0.03], "iou": 0.86767809060931, "pen": 0.0}, "1,7": {"x": [0.06000000000000005, -0.18, -0.3899999999999998, -0.030000000000000027, -0.15000000000000008, 0.11999999999999997, 0.24, -0.36, -0.51, 0.12, -0.3, 0.15000000000000002, 0.21, -0.17999999999999997, -0.6299999999999999, -0.06, -0.18, 0.18, 0.0, 0.0, -0.06, -0.27, -0.060000000000000026, 0.42000000000000004, 0.21000000000000002, -0.03, -0.32999999999999996, -0.33, -0.05999999999999994, 0.15, 0.21000000000000002, 0.15, -0.39, -0.36, -0.03, -0.03, 0.03, -0.03, -0.27, -0.36, 0.03, -0.09, 0.15, -0.12, -0.48000000000000004, -0.18000000000000002, -0.06000000000000005, -0.03], "iou": 0.8547883127937805, "pen": 0.0}, "1,8": {"x": [0.30000000000000004, -0.06, -0.4199999999999998, 0.14999999999999997, -0.2700000000000001, 0.21, 0.48, -0.36, -0.72, 0.12, -0.3, 0.27, 0.21, -0.35999999999999993, -0.6299999999999999, 0.06, -0.12, 0.27, 0.0, -0.06, -0.12, -0.24000000000000002, -0.030000000000000027, 0.32999999999999996, 0.21000000000000002, 0.0, -0.32999999999999996, -0.36, -0.17999999999999994, 0.24000000000000002, 0.21000000000000002, 0.15, -0.39, -0.36, 0.18, -0.09, 0.0, -0.06, -0.30000000000000004, -0.39, 0.09, -0.09, 0.15, -0.12, -0.48000000000000004, -0.18000000000000002, -0.06000000000000005, -0.03], "iou": 0.8771725736712865, "pen": 0.0}, "1,9": {"x": [0.42000000000000004, -0.09, -0.6299999999999999, 0.02999999999999997, -0.18000000000000008, 0.06, 0.6599999999999999, -0.32999999999999996, -0.96, 0.0, -0.03, 0.060000000000000026, 0.38999999999999996, -0.5399999999999998, -0.8099999999999998, 0.06, 0.12, 0.12000000000000002, 0.0, -0.06, -0.12, -0.24000000000000002, -0.15000000000000002, 0.11999999999999997, 0.45, 0.24, -0.32999999999999996, -0.15, -0.2699999999999999, 0.030000000000000027, 0.21000000000000002, 0.12, -0.39, -0.15, -0.12, -0.06, 0.0, 0.06, -0.12000000000000005, -0.18000000000000002, -0.09, -0.06, 0.15, -0.12, -0.48000000000000004, -0.18000000000000002, -0.06000000000000005, -0.03], "iou": 0.8269548914643738, "pen": 0.0}, "2,0": {"x": [0.72, 0.72, -0.36, -0.96, -0.24, 0.18, 0.24, 0.24, 0.0, -0.78, 0.06, -0.18, 0.0, 0.21, 0.0, -0.72, -0.24, -0.36, 0.0, 0.24, 0.24, -0.44999999999999996, -0.27, -0.09, 0.24, 0.18, 0.48, 0.06, -0.03, -0.24, 0.21, 0.0, -0.21, 0.0, -0.24, -0.24, 0.0, -0.12, -0.24, 0.12, -0.36, 0.0, 0.0, 0.0, 0.0, 0.0, -0.51, 0.18], "iou": 0.8761612636715992, "pen": 0.0}, "2,1": {"x": [0.39, 0.36, -0.18, -0.51, -0.15, 0.12, 0.24, 0.18, 0.03, -0.81, -0.06, -0.15, 0.0, 0.30000000000000004, 0.0, -0.6599999999999999, -0.24, -0.24, 0.0, 0.15, 0.0, -0.3899999999999999, -0.15000000000000002, -0.12, 0.24, 0.18, 0.24, 0.06, 0.09, -0.24, 0.21, 0.0, -0.21, 0.0, -0.15, -0.21, 0.0, -0.12, -0.24, 0.06, -0.36, 0.06, 0.0, 0.12, 0.0, 0.0, -0.6300000000000001, 0.21], "iou": 0.8840468456047426, "pen": 0.0}, "2,2": {"x": [0.51, 0.12, -0.7799999999999999, -0.27, -0.5700000000000001, -0.12, 0.0, 0.18, 0.03, -0.45000000000000007, -0.27, -0.27, 0.0, 0.24000000000000005, 0.0, -0.41999999999999993, -0.42, -0.24, 0.0, 0.15, 0.0, -0.3899999999999999, -0.15000000000000002, -0.24, 0.24, 0.18, 0.0, -0.12, 0.29999999999999993, -0.06, 0.15, 0.0, -0.15, -0.15, 0.0, -0.18, 0.03, 0.03, -0.24, 0.0, -0.12, -0.12, 0.24, 0.12, -0.12, -0.06, -0.6300000000000001, -0.21000000000000002], "iou": 0.8642836240798941, "pen": 0.0}, "2,3": {"x": [1.3799999999999997, -0.4199999999999998, -1.2600000000000002, 0.05999999999999997, -0.8999999999999999, -0.09, 0.03, 0.06, 0.0, -0.39, -0.24000000000000002, -0.24000000000000002, 0.0, 0.24000000000000005, 0.0, -0.35999999999999993, -0.42, -0.06, 0.03, 0.15, -0.03, -0.3899999999999999, 0.02999999999999997, -0.06, 0.24, -0.06, -0.42, -0.36, 0.05999999999999994, -0.15, 0.15, 0.0, -0.39, -0.36, 0.03, -0.06, 0.03, -0.09, -0.24, -0.12, -0.12, -0.06, 0.48, 0.06, -0.63, -0.06, -0.54, -0.12000000000000002], "iou": 0.8526695355672814, "pen": 0.0002396032195077502}, "2,4": {"x": [1.4999999999999996, -0.4199999999999998, -1.2600000000000002, 0.29999999999999993, -0.32999999999999996, -0.32999999999999996, 0.03, 0.03, 0.0, -0.21000000000000002, -0.24000000000000002, -0.18000000000000002, 0.0, 0.24000000000000005, 0.0, -0.35999999999999993, -0.42, -0.18, 0.27, 0.39, -0.03, -0.3899999999999999, -0.09000000000000002, -0.06, 0.6, -0.06, -0.24, -0.18, 0.17999999999999994, -0.27, 0.15, -0.06, -0.5700000000000001, -0.24, 0.0, -0.18, 0.03, -0.09, -0.24, -0.24, -0.15, -0.21, 0.48, 0.06, -0.63, -0.03, -0.33000000000000007, -0.12000000000000002], "iou": 0.8410087620065891, "pen": 1.6615347358570065e-05}, "2,5": {"x": [0.9899999999999995, -0.4199999999999998, -0.7800000000000002, 0.29999999999999993, -0.11999999999999997, 0.15000000000000002, 0.03, -0.03, 0.0, -0.21000000000000002, -0.24000000000000002, -0.18000000000000002, 0.0, 0.36000000000000004, 0.0, -0.5399999999999999, -0.42, -0.15, 0.51, 0.5700000000000001, -0.03, -0.3899999999999999, -0.33, -0.06, 0.54, 0.0, -0.24, -0.12, -0.12000000000000005, -0.27, 0.03, -0.06, -0.45000000000000007, -0.12, -0.24, -0.3, 0.03, -0.09, -0.24, -0.24, -0.15, -0.32999999999999996, 0.48, 0.06, -0.63, -0.03, -0.33000000000000007, -0.060000000000000026], "iou": 0.8535405826426288, "pen": 0.0}, "2,6": {"x": [0.38999999999999957, -0.17999999999999983, -0.6600000000000003, -0.06000000000000005, -0.36, -0.02999999999999997, 0.27, -0.15000000000000002, 0.0, -0.51, -0.36, -0.24000000000000002, 0.0, 0.36000000000000004, 0.03, -0.47999999999999987, -0.42, -0.15, 0.51, 0.5700000000000001, -0.36, -0.69, -0.42000000000000004, -0.06, 0.54, 0.06, -0.36, -0.24, -0.030000000000000054, -0.30000000000000004, 0.06, -0.15, -0.3600000000000001, -0.18, -0.15, -0.27, 0.03, -0.09, -0.36, -0.24, -0.18, -0.26999999999999996, 0.41999999999999993, 0.0, -0.63, -0.03, -0.27, -0.12000000000000002], "iou": 0.8700177103342325, "pen": 0.0}, "2,7": {"x": [0.14999999999999958, -0.17999999999999983, -0.5400000000000003, -0.06000000000000005, -0.39, 0.060000000000000026, 0.42000000000000004, -0.15000000000000002, -0.24, -0.24000000000000002, -0.75, -0.060000000000000026, 0.0, 0.39, 0.03, -0.5999999999999999, -0.51, -0.15, 0.48, 0.54, -0.36, -0.8099999999999999, -0.42000000000000004, 0.0, 0.54, 0.06, -0.36, -0.3, -5.551115123125783e-17, -0.18000000000000005, 0.0, -0.03, -0.3600000000000001, -0.21, -0.15, -0.18000000000000002, 0.0, -0.12, -0.36, -0.18, -0.03, -0.11999999999999997, 0.08999999999999994, -0.06, -0.36, -0.09, -0.27, -0.060000000000000026], "iou": 0.8528190508782352, "pen": 0.0}, "2,8": {"x": [0.6299999999999994, 0.12000000000000016, -0.42000000000000026, 0.08999999999999994, -0.5699999999999998, -0.08999999999999997, 0.66, -0.15000000000000002, -0.6, -0.24000000000000002, -0.69, -0.060000000000000026, 0.0, 0.27, 0.15000000000000002, -0.5399999999999998, -0.45000000000000007, -0.18, 0.24, 0.15000000000000005, -0.36, -0.57, -0.18000000000000005, -0.09, 0.30000000000000004, 0.06, -0.42, -0.36, -0.24000000000000005, -5.551115123125783e-17, 0.12, -0.15, -0.44999999999999996, -0.21, -0.18, -2.7755575615628914e-17, 0.0, -0.12, -0.36, -0.3, -0.09, -0.05999999999999997, 0.08999999999999994, -0.06, -0.36, -0.09, -0.36, -0.060000000000000026], "iou": 0.8688425172836318, "pen": 0.0}, "2,9": {"x": [0.7499999999999994, 1.6653345369377348e-16, -0.6600000000000003, 0.20999999999999994, -0.5099999999999998, -0.20999999999999996, 0.81, -0.18000000000000002, -0.57, -0.27, -0.8699999999999999, 0.05999999999999997, 0.0, 0.27, 0.09000000000000002, -0.4199999999999998, -0.2700000000000001, -0.12, 0.24, 0.09000000000000005, -0.36, -0.38999999999999996, -0.24000000000000005, -0.05999999999999997, 0.30000000000000004, 0.06, -0.42, -0.36, -0.33000000000000007, 0.11999999999999994, 0.51, -0.15, -0.48, -0.21, -0.36000000000000004, -0.15000000000000002, 0.0, 0.03, -0.24, -0.12, -0.26999999999999996, -0.17999999999999997, 0.08999999999999994, -0.06, -0.36, -0.09, -0.3, -0.12000000000000002], "iou": 0.8416146459471591, "pen": 0.0}, "3,0": {"x": [-1.2, -1.8599999999999999, 0.6599999999999999, -0.72, 0.8700000000000001, 0.06, 0.0, 0.24, 0.09, -0.72, 0.32999999999999996, -0.09, 0.24, 0.39, -0.27, -0.24, -0.15, 0.03, 0.03, 0.09, -0.06, -0.21, -0.12, 0.03, 0.36, 0.06, 0.24, 0.06, 0.18, 0.18, 0.18, 0.06, -0.12, -0.24, -0.09, 0.0, 0.0, 0.0, -0.27, -0.18, -0.12, 0.06, -0.12, -0.12, -0.15, -0.12, 0.15, 0.15], "iou": 0.6112211961344798, "pen": 0.0006281077003973817}, "3,1": {"x": [-0.2699999999999999, -0.6599999999999999, 0.12000000000000005, 0.51, 0.30000000000000004, 0.51, 0.24, -0.3, 0.03, -0.3, 0.05999999999999997, 0.27, 0.24, 0.27, -0.27, -0.24, -0.39, 0.15, 0.03, 0.21, -0.06, -0.09, -0.36, 0.21, 0.36, 0.09, 0.09, 0.06, -0.09, 0.03, 0.18, 0.06, -0.12, -0.24, -0.15, 0.0, 0.12, 0.0, -0.39, -0.06, -0.3, 0.09, 0.09, -0.12, -0.27, 0.18, -0.02999999999999997, 0.27], "iou": 0.8364581306068691, "pen": 0.0}, "3,2": {"x": [0.21000000000000008, -0.6599999999999999, -0.029999999999999943, 0.75, -0.41999999999999993, 0.51, 0.0, -0.3, 0.03, -0.06, -0.36000000000000004, 0.42000000000000004, 0.18, 0.09000000000000002, -0.27, -0.12, -0.27, 0.15, 0.03, -0.03, -0.06, -0.21, -0.24, 0.12, 0.12, 0.09, 0.21, -0.06, 0.15, 0.15, 0.18, 0.06, -0.18, -0.24, -0.09, 0.0, 0.0, 0.12, -0.36, -0.06, -0.24, 0.12, 0.32999999999999996, -0.12, -0.51, 0.3, -0.39, 0.27], "iou": 0.846327313526038, "pen": 0.0}, "3,3": {"x": [0.7397056274847714, -0.25029437251522846, -0.3402943725152285, 0.3797056274847715, -0.37029437251522856, 0.4397056274847715, -0.07029437251522858, -0.3497056274847714, -0.04029437251522855, -0.01970562748477142, -0.07029437251522863, 0.2802943725152287, 0.3102943725152285, 0.07970562748477145, -0.4997056274847715, 0.10970562748477136, 0.04029437251522855, 0.1997056274847714, -0.04029437251522855, -0.010294372515228606, -0.010294372515228578, -0.1002943725152286, -0.10029437251522857, 0.16970562748477136, 0.07029437251522859, -0.07970562748477142, 0.01029437251522855, -0.10970562748477139, -0.10970562748477139, 0.19029437251522865, 0.010294372515228578, -0.010294372515228578, 0.010294372515228592, -0.07029437251522858, -0.25970562748477133, 0.16970562748477142, 0.16970562748477136, 0.2502943725152286, -0.3102943725152286, 0.19029437251522857, -0.1902943725152286, 0.2502943725152286, 0.6402943725152286, 0.19029437251522863, -0.3497056274847714, 0.49029437251522867, -0.6497056274847715, 0.22029437251522857], "iou": 0.7806496324722347, "pen": 0.0}, "3,4": {"x": [0.9497056274847714, -0.040294372515228466, -0.6402943725152285, -0.10029437251522849, -0.7002943725152286, 0.1697056274847715, -0.07029437251522858, -0.10970562748477142, -0.04029437251522855, 0.10029437251522857, -0.19029437251522863, 0.43029437251522873, 0.2802943725152285, 0.25970562748477144, -0.4997056274847715, 0.22970562748477136, 0.04029437251522855, 0.2597056274847714, 0.1697056274847715, -0.010294372515228606, 0.10970562748477142, 0.6197056274847714, 0.28970562748477147, 0.22970562748477136, 0.16029437251522857, 0.04029437251522858, -0.04970562748477142, 0.1302943725152286, 0.010294372515228578, 0.19029437251522865, 0.010294372515228578, -0.010294372515228578, -0.19970562748477141, 0.13970562748477142, -0.049705627484771336, 0.16970562748477142, 0.13970562748477136, 0.3102943725152286, -0.3102943725152286, 0.5502943725152285, -0.2502943725152286, 0.34029437251522865, 0.6402943725152286, 0.19029437251522863, -0.3497056274847714, 0.4302943725152287, -0.7697056274847714, 0.10029437251522857], "iou": 0.8664651851791637, "pen": 0.0}, "3,5": {"x": [0.7097056274847714, -0.040294372515228466, -0.6402943725152285, 0.1397056274847715, -0.5802943725152286, 0.0497056274847715, -0.07029437251522858, 0.13029437251522857, -0.04029437251522855, -0.01970562748477142, -0.4302943725152286, 0.34029437251522876, 0.3102943725152284, 0.5297056274847713, -0.4697056274847715, 0.25970562748477133, -0.07970562748477145, 0.1397056274847714, 0.40970562748477146, 0.019705627484771393, -0.10029437251522857, 0.6797056274847715, -0.04029437251522852, 0.10970562748477136, 0.3102943725152286, -0.10970562748477142, 0.13029437251522857, 0.1302943725152286, 0.07029437251522858, 0.19029437251522865, 0.010294372515228578, -0.010294372515228578, -0.19970562748477141, 0.13970562748477142, -0.049705627484771336, 0.16970562748477142, 0.13970562748477136, 0.3102943725152286, -0.3102943725152286, 0.5502943725152285, -0.2502943725152286, 0.40029437251522865, 0.5802943725152285, 0.19029437251522863, -0.2897056274847714, 0.4302943725152287, -0.46970562748477146, 0.22029437251522854], "iou": 0.8603249447174625, "pen": 0.0}, "3,6": {"x": [0.5297056274847713, 0.19970562748477153, -0.5802943725152285, -0.10029437251522849, -0.5802943725152286, -0.010294372515228523, 0.16970562748477142, -0.10970562748477142, -0.10029437251522855, 0.10029437251522857, -0.6702943725152286, 0.10029437251522877, 0.3102943725152284, 0.28970562748477136, -0.4697056274847715, 0.25970562748477133, -0.19970562748477144, 0.1397056274847714, 0.40970562748477146, 0.019705627484771393, -0.34029437251522854, 0.4397056274847715, -0.16029437251522852, 0.22970562748477136, 0.3102943725152286, -0.10970562748477142, -0.01970562748477142, 0.1302943725152286, -0.2297056274847714, 0.07029437251522866, 0.010294372515228578, -0.13029437251522857, -0.25970562748477144, 0.07970562748477142, -0.22970562748477136, 0.16970562748477142, 0.13970562748477136, -0.16970562748477136, -0.3102943725152286, 0.07029437251522852, -0.19029437251522863, 0.22029437251522865, 0.37029437251522845, 0.19029437251522863, -0.22970562748477136, 0.34029437251522865, -0.07970562748477147, 0.3102943725152285], "iou": 0.8445508473746799, "pen": 0.0}, "3,7": {"x": [0.34970562748477135, 0.07970562748477153, -0.37029437251522856, -0.010294372515228495, -0.5802943725152288, 0.07970562748477147, 0.4097056274847714, -0.2897056274847714, -0.28029437251522854, 0.010294372515228578, -0.8802943725152286, 0.10029437251522877, 0.3102943725152284, 0.049705627484771364, -0.4697056274847715, 0.25970562748477133, -0.19970562748477144, 0.1397056274847714, 0.34970562748477146, 0.019705627484771393, -0.28029437251522854, 0.3197056274847715, -0.04029437251522852, 0.34970562748477135, 0.2802943725152286, -0.10970562748477142, -0.22970562748477144, 0.1302943725152286, -0.2297056274847714, 0.3102943725152286, 0.07029437251522858, -0.13029437251522857, -0.19970562748477144, 0.07970562748477142, -0.16970562748477136, 0.19970562748477141, 0.07970562748477136, -0.10970562748477136, -0.2802943725152286, 0.07029437251522852, -0.2502943725152286, 0.13029437251522866, 0.040294372515228466, 0.07029437251522863, -0.19970562748477136, 0.13029437251522866, -0.28970562748477147, 0.16029437251522852], "iou": 0.8360476320787538, "pen": 0.0}, "3,8": {"x": [0.7697056274847713, 0.1997056274847715, -0.6702943725152286, -0.07029437251522846, -0.5802943725152288, -0.07029437251522849, 0.6497056274847715, -0.2897056274847714, -0.5202943725152285, 0.16029437251522857, -0.8802943725152286, 0.13029437251522877, 0.3102943725152284, -0.2502943725152286, -0.4697056274847715, 0.3197056274847713, -0.01970562748477145, 0.1397056274847714, 0.10970562748477147, -0.1302943725152286, -0.28029437251522854, 0.3197056274847715, -0.04029437251522852, 0.34970562748477135, 0.1902943725152286, -0.04970562748477142, -0.3197056274847714, 0.2202943725152286, -0.13970562748477142, 0.2802943725152286, 0.07029437251522858, -0.13029437251522857, -0.19970562748477144, 0.07970562748477142, -0.049705627484771364, 0.19970562748477141, 0.019705627484771365, -0.049705627484771364, -0.2802943725152286, 0.010294372515228523, -0.19029437251522863, 0.13029437251522866, 0.040294372515228466, 0.13029437251522863, -0.19970562748477136, 0.010294372515228661, -0.28970562748477147, 0.07029437251522852], "iou": 0.8565371182842748, "pen": 0.0}, "3,9": {"x": [0.9797056274847713, 0.1997056274847715, -0.8802943725152286, -0.07029437251522846, -0.46029437251522876, 0.0797056274847715, 0.6497056274847715, -0.22970562748477144, -0.5202943725152285, 0.10029437251522857, -0.8502943725152285, 0.2502943725152288, 0.3102943725152284, -0.19029437251522863, -0.4697056274847715, 0.10970562748477133, -0.07970562748477145, 0.2597056274847714, 0.34970562748477146, 0.04970562748477142, -0.5202943725152285, 0.3197056274847715, -0.16029437251522852, 0.5597056274847714, 0.4302943725152286, -0.04970562748477142, -0.3497056274847714, 0.25029437251522857, -0.13970562748477142, 0.4002943725152286, 0.2802943725152286, -0.22029437251522857, -0.40970562748477146, 0.1697056274847714, -0.10970562748477136, 0.3197056274847714, 0.019705627484771365, -0.13970562748477136, -0.2802943725152286, 0.13029437251522852, -0.19029437251522863, 0.19029437251522865, 0.040294372515228466, -0.10970562748477136, -0.19970562748477136, 0.010294372515228661, -0.34970562748477146, 0.10029437251522852], "iou": 0.8501822049038722, "pen": 0.0}, "4,0": {"x": [0.0, 0.0, -0.27, 0.21, -0.27, -0.15, 0.0, 0.0, -0.48, 0.0, -0.24, -0.27, 0.21, 0.21, -0.24, -0.09, -0.3899999999999999, -0.12, 0.0, 0.27, 0.0, -0.03, -0.24, -0.21, 0.0, 0.0, -0.03, -0.27, -0.18, -0.44999999999999996, 0.21, -0.03, -0.36, -0.12, -0.06, -0.30000000000000004, 0.0, 0.24, -0.18, -0.44999999999999996, -0.06, -0.21, 0.0, 0.06, -0.48, -0.12, -0.24, -0.15], "iou": 0.8291720090878648, "pen": 0.0}, "7,0": {"x": [0.36, -0.18, -0.24, -0.06, -0.81, -0.18, 0.24, 0.0, -0.06, -0.24, -0.8699999999999999, -0.3, 0.21, -0.15, -0.48, -0.3, -0.44999999999999996, -0.24, 0.0, 0.24, 0.0, -0.24, -0.24, -0.48, 0.0, 0.12, -0.3, -0.3, -0.24, -0.39, 0.24, 0.0, -0.63, -0.24, -0.39, -0.39, 0.51, -0.24, -0.75, 0.12, -0.36, -0.27, 0.48, 0.0, -0.24, 0.24, -0.72, -0.12], "iou": 0.8053572412668025, "pen": 0.0}, "8,0": {"x": [0.24, -0.18, -0.18, 0.06, -0.6599999999999997, -0.3, 0.12, -0.18, -0.06, -0.12, -0.7799999999999998, -0.18, 0.24, -0.36, -0.48, 0.0, -0.48, -0.18, 0.0, 0.12, 0.0, 0.12, -0.12, -0.6, 0.0, 0.24, -0.24, 0.0, -0.36, -0.48, 0.24, 0.18, -0.24, 0.0, -0.3, -0.3, 0.39, 0.06, -0.44999999999999996, 0.09, -0.4800000000000001, -0.32999999999999996, 0.48, 0.0, -0.36, 0.3, -0.4799999999999998, -0.18], "iou": 0.8284843190230555, "pen": 0.0}, "5,0": {"x": [0.0, -0.12, -0.24, 0.0, 0.12, 0.09, 0.0, 0.06, -0.24, -0.03, -0.21, -0.09, 0.24, 0.24, -0.48, 0.0, 0.24, 0.03, 0.0, 0.24, -0.24, 0.0, 0.27, -0.15, 0.0, 0.0, -0.3, -0.06, -0.06, 0.0, 0.12, -0.12, -0.36, -0.12, -0.12, 0.36, 0.0, -0.24, -0.24, -0.12, -0.12, 0.09, 0.0, 0.0, -0.24, -0.12, 0.06, 0.24], "iou": 0.8643213775741792, "pen": 0.0}, "5,1": {"x": [0.0, -0.12, -0.24, 0.0, 0.09, 0.21, 0.0, 0.06, -0.24, 0.21, -0.21, 0.33, 0.15, 0.24, -0.39, 0.15, 0.0, 0.03, 0.0, 0.18, -0.18, 0.24, 0.030000000000000027, -0.33, 0.18, -0.06, -0.3, 0.06, -0.03, -0.03, 0.12, -0.3, -0.54, 0.12, -0.12, 0.27, 0.0, -0.27, -0.24, -0.09, 0.09, 0.20999999999999996, 0.0, -0.03, -0.24, -0.12, 0.06, 0.24], "iou": 0.8710482673782973, "pen": 0.0}, "5,2": {"x": [0.0, -0.12, -0.24, 0.03, 0.12, 0.41999999999999993, -0.03, 0.0, -0.21, 0.12, -0.21, 0.30000000000000004, 0.15, 0.24, -0.39, 0.15, 0.06, 0.03, 0.0, 0.18, -0.18, 0.24, 0.27, -0.33, 0.18, -0.12, -0.3, 0.06, -0.03, -0.15000000000000002, 0.36, -0.06, -0.54, 0.12, -0.12, 0.15000000000000002, 0.0, -0.27, -0.24, -0.09, 0.09, 0.17999999999999997, 0.0, -0.03, -0.24, -0.09, -0.06, 0.27], "iou": 0.8615650874150582, "pen": 0.0}, "5,3": {"x": [0.0, -0.12, -0.24, 0.15000000000000002, 0.12, 0.32999999999999996, -0.03, 0.0, -0.21, 0.0, -0.21, 0.33000000000000007, 0.15, 0.24, -0.39, 0.15, 0.06, 0.0, 0.0, 0.18, -0.18, 0.24, 0.15000000000000002, -0.30000000000000004, 0.18, -0.06, -0.3, 0.06, -0.03, -0.15000000000000002, 0.36, -0.06, -0.54, 0.12, -0.12, 0.15000000000000002, 0.0, -0.27, -0.24, -0.09, 0.03, 0.17999999999999997, 0.0, -0.03, -0.24, -0.09, -0.15, 0.24000000000000002], "iou": 0.8613849264775981, "pen": 0.0}, "5,4": {"x": [0.0, 0.0, -0.24, 0.15000000000000002, -0.12, 0.38999999999999996, -0.03, 0.0, -0.21, 0.15, -0.21, 0.45000000000000007, 0.12, 0.24, -0.36, 0.15, -0.03, 0.09, 0.0, 0.18, -0.18, 0.36, 0.030000000000000027, -0.33000000000000007, 0.18, 0.0, -0.3, 0.12, -0.09, -0.12000000000000002, 0.3, -0.03, -0.48000000000000004, 0.09, 0.03, 0.15000000000000002, 0.0, -0.27, -0.24, -0.03, -0.03, 0.17999999999999994, 0.0, -0.03, -0.24, -0.09, -0.15, 0.36], "iou": 0.8616457286149244, "pen": 0.0}, "6,0": {"x": [0.0, 0.0, -0.06, -0.18, -0.48, 0.09, 0.0, 0.0, 0.0, -0.18, -0.72, 0.0, 0.24, 0.42, -0.48, -0.15, -0.06, -0.21, 0.06, 0.24, -0.06, 0.06, -0.18, -0.24, 0.0, 0.09, 0.0, -0.03, -0.21, -0.15, 0.24, 0.0, -0.24, 0.0, -0.24, 0.0, 0.0, -0.21, 0.0, -0.03, -0.24, -0.03, 0.0, -0.09, -0.24, 0.06, -0.36, 0.03], "iou": 0.8570160482782043, "pen": 0.0}, "6,1": {"x": [0.0, 0.0, -0.21, -0.42, -0.44999999999999996, 0.02999999999999997, 0.18, 0.0, -0.24, -0.21, -0.51, -0.06, 0.24, 0.42, -0.48, -0.15, 0.06, -0.27, 0.06, 0.06, -0.09, 0.03, -0.21, -0.29999999999999993, 0.0, 0.15, -0.03, 0.06, -0.21, -0.12, 0.21, 0.0, -0.3, -0.06, -0.24, 0.09, 0.0, 0.03, -0.06, -0.33, -0.24, 0.0, 0.0, -0.09, -0.18, -0.3, -0.36, -0.06], "iou": 0.837471554411079, "pen": 0.0001959388716186311}, "6,2": {"x": [0.0, 0.0, -0.24, -0.42, -0.44999999999999996, -2.7755575615628914e-17, 0.18, 0.0, -0.24, -0.18, -0.51, 0.15, 0.24, 0.39, -0.48, -0.12, 0.03, -0.24000000000000002, 0.06, 0.06, -0.09, 0.03, -0.21, -0.29999999999999993, 0.0, 0.12, -0.03, 0.0, -0.21, -0.12, 0.21, 0.0, -0.3, -0.06, -0.36, -0.03, 0.0, 0.03, -0.06, -0.33, -0.3, 0.06, 0.0, -0.09, -0.18, -0.3, -0.32999999999999996, -0.09], "iou": 0.8375056652602609, "pen": 4.861187365567954e-05}, "6,3": {"x": [0.0, 0.0, -0.21, -0.42, -0.48, -2.7755575615628914e-17, 0.18, 0.0, -0.24, -0.18, -0.45, 0.06, 0.24, 0.39, -0.48, -0.12, 0.03, -0.24000000000000002, 0.06, 0.06, -0.09, 0.03, -0.21, -0.29999999999999993, 0.0, 0.12, -0.03, 0.06, -0.21, -0.15, 0.21, 0.0, -0.3, -0.06, -0.36, -0.03, 0.0, 0.03, -0.06, -0.33, -0.3, 0.06, 0.0, -0.09, -0.18, -0.3, -0.29999999999999993, -0.03], "iou": 0.8340925414855089, "pen": 6.36237121245109e-05}, "6,4": {"x": [0.0, 0.03, -0.21, -0.3, -0.48, -0.060000000000000026, 0.18, 0.0, -0.24, -0.18, -0.72, 0.0, 0.24, 0.39, -0.48, -0.12, -0.03, -0.12000000000000002, 0.06, 0.3, -0.09, -0.03, -0.21, -0.29999999999999993, 0.12, 0.06, -0.15, 0.06, -0.32999999999999996, -0.18000000000000002, 0.32999999999999996, -0.21, -0.3, 0.12, -0.48, 0.09, 0.0, 0.03, -0.09, -0.30000000000000004, -0.24, -0.03, 0.03, -0.09, -0.3, -0.3, -0.32999999999999996, -0.15], "iou": 0.8354339043813145, "pen": 0.0}, "9,0": {"x": [0.39, 0.09, -0.36, 0.12, -0.9899999999999998, 0.03, 0.48, 0.0, -0.48, 0.12, -0.75, 0.39, 0.24, 0.0, -0.48, 0.24, -0.5700000000000001, 0.42, 0.0, 0.24, -0.54, 0.15, -0.24, 0.30000000000000004, 0.09, 0.48, -0.29999999999999993, 0.0, -0.27, -0.12, 0.24, 0.15, -0.33000000000000007, 0.18, -0.32999999999999996, 0.0, 0.39, -0.12, -0.48, 0.3, -0.48, -0.03, 0.24, 0.0, -0.06, 0.0, -0.72, 0.0], "iou": 0.8382267987172339, "pen": 0.0}, "9,1": {"x": [0.48, 0.06, -0.48, 0.24, -0.8999999999999998, 0.06, 0.48, -0.03, -0.44999999999999996, 0.12, -0.99, 0.39, 0.24, 0.0, -0.36, 0.24, -0.6900000000000001, 0.4799999999999999, 0.0, 0.24, -0.54, 0.15, -0.6, 0.6000000000000001, 0.09, 0.48, -0.5399999999999999, 0.0, -0.45, 0.09, 0.18, 0.39, -0.51, 0.06, -0.44999999999999996, 0.0, 0.36, 0.03, -0.32999999999999996, 0.15, -0.6299999999999999, -0.03, 0.48, -0.12, -0.36, 0.06, -0.87, -0.06], "iou": 0.8513204730255989, "pen": 0.0}, "9,2": {"x": [0.72, 0.06, -0.72, 0.24, -0.9899999999999998, 0.18, 0.48, -0.09, -0.44999999999999996, 0.18, -1.14, 0.51, 0.24, 0.0, -0.48, 0.24, -0.81, 0.5699999999999998, 0.06, 0.18, -0.54, 0.18, -0.6, 0.7200000000000001, 0.12, 0.36, -0.57, 0.09, -0.45, 0.12, 0.03, 0.39, -0.6, 0.06, -0.57, 0.12, 0.21, 0.03, -0.29999999999999993, 0.12, -0.5999999999999999, -0.09, 0.44999999999999996, 0.15, -0.6, 0.09, -0.87, -0.06], "iou": 0.8251080334875119, "pen": 0.0}, "9,3": {"x": [0.72, 0.24, -0.72, 0.0, -1.0499999999999998, -0.03, 0.48, -0.09, -0.44999999999999996, 0.18, -1.14, 0.45, 0.18, 0.0, -0.42, 0.12, -0.75, 0.6299999999999999, -0.06, 0.42, -0.42000000000000004, 0.0, -0.36, 0.7200000000000001, 0.12, 0.36, -0.38999999999999996, 0.09, -0.45, 0.12, 0.03, 0.39, -0.32999999999999996, 0.06, -0.6299999999999999, 0.12, 0.21, 0.27, -0.29999999999999993, 0.12, -0.8399999999999999, -0.09, 0.32999999999999996, 0.15, -0.48, 0.03, -0.9299999999999999, -0.15], "iou": 0.8155828461155258, "pen": 0.0}, "9,4": {"x": [0.72, 0.24, -0.84, 0.0, -0.9299999999999998, 0.12, 0.48, -0.29999999999999993, -0.44999999999999996, 0.18, -1.05, 0.48, 0.18, 0.0, -0.42, 0.15, -0.81, 0.69, -0.06, 0.42, -0.42000000000000004, 0.12, -0.36, 0.42000000000000015, 0.09, 0.36, -0.44999999999999973, 0.09, -0.5700000000000001, 0.18, 0.09, 0.39, -0.17999999999999997, 0.06, -0.6299999999999999, 0.12, 0.21, 0.27, -0.29999999999999993, -0.12, -0.8699999999999999, -0.12, 0.32999999999999996, 0.30000000000000004, -0.48, -0.09, -0.9299999999999999, -0.03], "iou": 0.8156520841372001, "pen": 0.0}, "9,5": {"x": [0.72, 0.24, -0.84, 0.0, -0.9299999999999998, 0.24, 0.48, -0.29999999999999993, -0.48, 0.24, -1.0799999999999998, 0.54, 0.21, 0.06, -0.42, 0.09, -0.75, 0.6599999999999999, -0.06, 0.29999999999999993, -0.42000000000000004, 0.15, -0.6599999999999999, 0.48000000000000015, 0.05999999999999997, 0.36, -0.2999999999999997, 0.09, -0.72, 0.32999999999999996, 0.09, 0.39, -0.14999999999999997, 0.03, -0.6599999999999999, -0.06, 0.20999999999999996, 0.51, -0.5399999999999999, 0.12, -0.8699999999999999, -0.12, 0.32999999999999996, 0.30000000000000004, -0.48, 0.03, -0.9299999999999999, 0.09], "iou": 0.8374892409417267, "pen": 0.0}, "9,6": {"x": [0.72, -0.06, -0.72, 0.06, -0.8699999999999999, 0.27, 0.48, -0.08999999999999994, -0.48, 0.06, -1.0199999999999998, 0.51, 0.15, 0.09, -0.42, 0.12, -0.84, 0.41999999999999993, -0.06, 0.44999999999999996, -0.33000000000000007, 0.03, -0.7799999999999999, 0.3900000000000001, -5.551115123125783e-17, 0.6, -0.4199999999999996, -0.09, -0.6599999999999999, 0.20999999999999996, 0.14999999999999997, 0.63, -0.44999999999999996, -0.09, -0.6299999999999999, -0.06, 0.36, 0.42000000000000004, -0.5099999999999998, 0.06, -0.6599999999999999, -0.06, 0.57, 5.551115123125783e-17, -0.48, 0.03, -0.81, 0.09], "iou": 0.8255162083766855, "pen": 0.0}, "10,0": {"x": [0.48, 0.12, -0.48, 0.0, -0.32999999999999996, 0.42, 0.41999999999999993, -0.09, -0.32999999999999996, 0.15, -0.5399999999999999, 0.51, 0.24, -0.27, -0.24, 0.24, -0.06, 0.72, 0.0, 0.0, -0.24, 0.48, -0.48, 0.6, 0.12, 0.0, -0.24, 0.3, -0.24, 0.39, 0.24, 0.12, -0.48, 0.06, -0.27, 0.18, 0.39, 0.09, -0.54, 0.06, -0.69, 0.12, 0.24, 0.12, -0.24, 0.09, -0.78, 0.24], "iou": 0.8360552982239836, "pen": 0.0}, "10,1": {"x": [0.72, 0.24, -0.72, 0.24, -0.6599999999999998, 0.15, 0.6599999999999999, -0.09, -0.57, 0.15, -0.7799999999999999, 0.27, 0.24, -0.24000000000000002, -0.27, 0.3, -0.39, 0.48, 0.0, -0.12, 0.06, 0.3, -0.42000000000000004, 0.6600000000000001, 0.24, -0.03, -0.44999999999999996, 0.06, -0.51, 0.36, 0.39, 0.32999999999999996, -0.42, -0.15, -0.09000000000000002, 0.27, 0.6, -0.03, -0.6299999999999999, 0.06, -0.32999999999999996, 0.12, 0.24, 0.06, -0.24, 0.09, -0.66, 0.12], "iou": 0.8141691878379896, "pen": 3.5636927214893754e-06}, "10,2": {"x": [0.9299999999999999, 0.21, -0.8400000000000001, 0.21, -0.7499999999999998, 0.15000000000000002, 0.6599999999999999, 0.06, -0.57, 0.06, -0.8699999999999999, 0.15000000000000002, 0.24, -2.7755575615628914e-17, -0.27, 0.12, -0.45, 0.36, 0.06, 0.06, 0.06, 0.18, -0.48000000000000004, 0.48000000000000015, 0.24, 0.09, -0.32999999999999996, 0.3, -0.51, 0.36, 0.39, 0.32999999999999996, -0.42, 0.09, -0.24000000000000002, 0.21000000000000002, 0.3599999999999999, 0.29999999999999993, -0.4199999999999997, 0.06, -0.38999999999999996, 0.27, 0.36, 0.06, -0.42, 0.02999999999999997, -0.66, 0.15], "iou": 0.8533002314463145, "pen": 0.0}, "10,3": {"x": [0.75, 0.32999999999999996, -0.7200000000000001, 0.24000000000000002, -0.6899999999999997, 0.21000000000000002, 0.6599999999999999, 0.06, -0.57, 0.18, -0.9299999999999999, 0.15000000000000002, 0.24, -0.24000000000000002, -0.27, 0.12, -0.69, 0.32999999999999996, 0.06, -0.06, 0.06, 0.18, -0.48000000000000004, 0.48000000000000015, 0.24, 0.09, -0.20999999999999996, 0.18, -0.75, 0.36, 0.15000000000000002, 0.32999999999999996, -0.24, 0.09, -0.42, 0.33, 0.3599999999999999, 0.29999999999999993, -0.4199999999999997, 0.18, -0.26999999999999996, 0.36, 0.48, 0.32999999999999996, -0.6599999999999999, 0.17999999999999997, -0.75, 0.33], "iou": 0.8541310613052069, "pen": 0.0}, "10,4": {"x": [0.6599999999999999, 0.29999999999999993, -0.6600000000000001, 0.18000000000000002, -0.7799999999999998, 0.21000000000000002, 0.6299999999999999, 0.06, -0.57, -0.06, -0.8999999999999999, 0.15000000000000002, 0.24, -0.12000000000000002, -0.27, 0.18, -0.75, 0.41999999999999993, 0.06, 0.0, -0.03, 0.24, -0.5700000000000001, 0.4500000000000002, 0.24, 0.08999999999999997, -0.14999999999999997, 0.24, -0.81, 0.48, 0.15000000000000002, 0.32999999999999996, 0.0, 0.09, -0.5999999999999999, 0.27, 0.3599999999999999, 0.2699999999999999, -0.3899999999999997, 0.18, -0.75, 0.06, 0.39, 0.36, -0.5999999999999999, 0.17999999999999997, -0.75, 0.21000000000000002], "iou": 0.8444293824228251, "pen": 0.0}, "10,5": {"x": [0.5399999999999999, 0.11999999999999994, -0.6000000000000001, 0.12000000000000002, -0.6299999999999998, 0.21000000000000002, 0.6299999999999999, -0.18, -0.6299999999999999, 0.06, -0.72, 0.39, 0.24, -0.12000000000000002, -0.27, 0.18, -0.63, 0.5999999999999999, 0.09, 0.0, -0.18, 0.51, -0.81, 0.6000000000000001, 0.18, 0.14999999999999997, -0.08999999999999997, 0.3, -0.75, 0.48, 0.15000000000000002, 0.32999999999999996, 0.0, 0.09, -0.5999999999999999, 0.27, 0.3599999999999999, 0.2699999999999999, -0.1799999999999997, -0.06, -0.75, 0.06, 0.39, 0.36, -0.5999999999999999, 0.17999999999999997, -0.75, 0.09000000000000002], "iou": 0.8408516988666636, "pen": 0.0}, "10,6": {"x": [0.4799999999999999, 0.17999999999999994, -0.6000000000000001, 0.12000000000000002, -0.6899999999999997, 0.15000000000000002, 0.5099999999999999, -0.06, -0.5699999999999998, 0.06, -0.72, 0.48, 0.24, -0.12000000000000002, -0.15000000000000002, 0.18, -0.75, 0.5399999999999998, 0.09, 0.0, -0.15, 0.39, -0.8400000000000001, 0.6300000000000001, 0.06, 0.14999999999999997, -0.08999999999999997, 0.3, -0.6900000000000002, 0.48, 0.15000000000000002, 0.14999999999999997, 0.06, 0.08999999999999997, -0.69, 0.27, 0.3599999999999999, 0.5099999999999999, -0.4199999999999997, -0.3, -0.9299999999999999, -0.12, 0.39, 0.42, -0.5999999999999999, -2.7755575615628914e-17, -0.75, 2.7755575615628914e-17], "iou": 0.8213265094427278, "pen": 0.0}, "11,0": {"x": [0.27, 0.0, -0.24, 0.0, -0.78, 0.0, 0.41999999999999993, 0.0, -0.18, 0.0, -0.8999999999999999, -0.03, 0.24, -0.24, -0.3, 0.48, -0.48, 0.21, 0.0, 0.0, -0.24, 0.24, -0.69, 0.44999999999999996, 0.0, 0.24, -0.09, 0.03, -0.48, 0.39, 0.24, 0.24, -0.36, -0.12, -0.51, 0.24, 0.48, -0.09, -0.6, -0.03, -0.6599999999999999, 0.36, 0.24, 0.0, -0.24, 0.03, -0.8999999999999999, 0.15], "iou": 0.8039529162939252, "pen": 0.0}, "11,1": {"x": [0.51, -0.24, -0.48, 0.3, -0.9, 0.06, 0.6599999999999999, 0.0, -0.54, 0.36, -0.8399999999999999, 0.36, 0.44999999999999996, -0.18, -0.51, 0.48, -0.72, 0.44999999999999996, 0.21, -0.24, -0.24, 0.48, -0.69, 0.69, 0.15, 0.06, -0.12, 0.21, -0.72, 0.45, 0.24, 0.06, -0.36, 0.0, -0.5999999999999999, 0.3, 0.32999999999999996, 0.03, -0.5699999999999998, 0.12, -0.69, 0.18, 0.24, -0.18, -0.24, 0.27, -0.7799999999999998, 0.21000000000000002], "iou": 0.8303061528870961, "pen": 0.0}, "11,2": {"x": [0.99, 0.0, -0.87, 0.3899999999999999, -1.05, -0.09, 0.6599999999999999, -0.12, -0.5700000000000001, 0.39, -0.7799999999999998, 0.27, 0.38999999999999996, -0.36, -0.45, 0.48, -0.72, 0.48, 0.15, -0.24, -0.18, 0.54, -0.6299999999999999, 0.6299999999999999, 0.15, 0.06, -0.12, 0.21, -0.6599999999999999, 0.48, 0.44999999999999996, 0.32999999999999996, -0.75, -0.06, -0.8399999999999999, 0.36, 0.32999999999999996, 0.03, -0.5399999999999998, 0.09, -0.72, 0.21, 0.24, -0.39, -0.24, 0.27, -0.8699999999999998, 0.18000000000000002], "iou": 0.7856930929776812, "pen": 0.0}, "11,3": {"x": [0.96, 0.03, -0.84, 0.3599999999999999, -0.81, -0.11999999999999997, 0.6599999999999999, -0.36, -0.5700000000000001, 0.27, -0.9299999999999998, 0.30000000000000004, 0.38999999999999996, -0.57, -0.48, 0.48, -0.57, 0.39, 0.15, -0.24, -0.18, 0.54, -0.6599999999999999, 0.3899999999999999, 0.21, -0.12, -0.18, 0.26999999999999996, -0.8999999999999999, 0.36, 0.20999999999999996, 0.32999999999999996, -0.27, 0.12, -1.0199999999999998, 0.18, 0.08999999999999997, 0.33, -0.3599999999999998, 0.09, -0.78, 0.18, 0.24, -2.7755575615628914e-17, -0.24, 0.18000000000000002, -0.7499999999999998, 0.12000000000000002], "iou": 0.8126427608714775, "pen": 0.0}, "11,4": {"x": [0.9299999999999999, 0.24000000000000002, -0.8099999999999999, 0.20999999999999988, -0.81, 0.18000000000000002, 0.6299999999999999, -0.21, -0.5700000000000001, 0.39, -0.7799999999999998, 0.27, 0.38999999999999996, -0.51, -0.48, 0.48, -0.51, 0.33, 0.15, -0.18, -0.18, 0.48000000000000004, -0.5999999999999999, 0.3299999999999999, 0.27, 0.0, -0.3, 0.38999999999999996, -0.8999999999999999, 0.3, 0.14999999999999997, 0.32999999999999996, -0.33, 0.12, -0.8099999999999998, 0.24, 0.11999999999999997, 0.30000000000000004, -0.32999999999999985, 0.06, -0.66, 0.12, 0.32999999999999996, 0.17999999999999997, -0.36, 0.18000000000000002, -0.7499999999999998, 0.15000000000000002], "iou": 0.8336912312572535, "pen": 0.0}, "11,5": {"x": [1.0199999999999998, -0.05999999999999997, -0.8099999999999999, 0.32999999999999985, -0.8400000000000001, 0.42000000000000004, 0.6299999999999999, -0.18, -0.6900000000000001, 0.27, -0.6599999999999998, 0.36, 0.32999999999999996, -0.36, -0.48, 0.24, -0.51, 0.33, 0.15, -0.18, -0.18, 0.36000000000000004, -0.5999999999999999, 0.3899999999999999, 0.27, 0.0, -0.24, 0.38999999999999996, -0.8999999999999999, 0.3, 0.14999999999999997, 0.32999999999999996, -0.33, 0.12, -0.7199999999999998, 0.21, 0.08999999999999997, 0.24000000000000002, -0.32999999999999985, 0.06, -0.6900000000000001, 0.09, 0.41999999999999993, 0.11999999999999997, -0.39, 0.18000000000000002, -0.6899999999999997, 0.24000000000000002], "iou": 0.8113784072918502, "pen": 0.0}, "11,6": {"x": [1.0199999999999998, -0.08999999999999997, -1.0499999999999998, 0.32999999999999985, -0.8700000000000001, 0.15000000000000005, 0.6299999999999999, -0.32999999999999996, -0.6900000000000001, 0.27, -0.7799999999999998, 0.42000000000000004, 0.32999999999999996, -0.32999999999999996, -0.48, 0.48, -0.54, 0.45000000000000007, 0.15, -0.18, -0.3, 0.45000000000000007, -0.5699999999999998, 0.44999999999999996, 0.15000000000000002, 0.0, -0.18, 0.5099999999999999, -0.5999999999999999, 0.36, 0.14999999999999997, 0.20999999999999996, -0.060000000000000026, 0.12, -0.6899999999999997, 0.06, 0.08999999999999997, 0.12000000000000002, -0.20999999999999985, 0.06, -0.75, 0.09, 0.41999999999999993, 0.23999999999999996, -0.39, 0.18000000000000002, -0.6899999999999997, 0.12000000000000002], "iou": 0.8291014171187108, "pen": 0.0}, "12,0": {"x": [0.48, 0.48, -0.96, 0.0, -0.96, -0.21000000000000002, 0.24, 0.0, -0.39, 0.27, -0.8099999999999999, 0.0, 0.24, 0.0, -0.48, 0.48, -0.48, 0.12, -0.12, 0.24, -0.24, 0.42, -0.6, 0.0, 0.12, 0.12, -0.15, 0.36, -0.6299999999999999, -0.03, 0.24, 0.12, -0.24, 0.12, -0.6, -0.09, 0.72, -0.3, -0.72, 0.06, -0.72, 0.0, 0.48, 0.72, -0.54, -0.27, -0.7799999999999998, -0.48], "iou": 0.7405637937486133, "pen": 0.0}, "12,1": {"x": [0.42, 0.06, -0.6599999999999999, 0.0, -0.72, -0.060000000000000026, 0.24, 0.0, -0.27, 0.27, -0.44999999999999996, 0.18, 0.24, 0.0, -0.48, 0.42, -0.3, -0.12, -0.12, 0.3, -0.27, 0.44999999999999996, -0.6, 0.0, 0.24, 0.12, -0.06, 0.36, -0.5399999999999998, 0.09, 0.48, 0.24, -0.24, 0.12, -0.54, -0.03, 0.78, -0.21, -0.72, 0.03, -0.6, -0.09, 0.48, 0.18, -0.6000000000000001, -0.21000000000000002, -0.7799999999999998, -0.27], "iou": 0.7762048827635202, "pen": 0.0}, "12,2": {"x": [0.3, 0.09, -0.32999999999999996, 0.21, -0.6299999999999999, 0.02999999999999997, 0.21, 0.06, -0.24000000000000002, 0.27, -0.44999999999999996, 0.09, 0.15, 0.06, -0.21, 0.36, -0.30000000000000004, -0.03, 0.0, 0.06, -0.21000000000000002, 0.44999999999999996, -0.48, 0.0, 0.24, 0.15, -0.09, 0.29999999999999993, -0.6599999999999997, 0.06, 0.42, 0.24, -0.24, 0.18, -0.42000000000000004, 0.06, 0.6299999999999999, 0.09, -0.8999999999999999, 0.27, -0.6599999999999999, -0.09, 0.48, -0.06, -0.6600000000000001, -0.21000000000000002, -0.7499999999999998, -0.030000000000000027], "iou": 0.8107340112369595, "pen": 0.0}, "12,3": {"x": [0.78, 0.32999999999999996, -1.0499999999999998, 0.21, -0.69, -0.27, 0.21, 0.06, -0.24000000000000002, 0.24000000000000002, -0.6599999999999999, -0.03, 0.15, 0.06, -0.32999999999999996, 0.36, -0.5700000000000001, 0.18, 0.0, 0.06, -0.21000000000000002, 0.57, -0.72, 0.21, 0.12, 0.36, -0.03, 0.32999999999999996, -0.5099999999999997, 0.09, 0.3, 0.24, -0.18, 0.24, -0.30000000000000004, 0.06, 0.5099999999999998, 0.03, -0.72, 0.09000000000000002, -0.4799999999999999, 0.03, 0.48, -0.06, -0.6600000000000001, -0.21000000000000002, -0.7199999999999998, -0.030000000000000027], "iou": 0.7766411694538801, "pen": 0.0}, "12,4": {"x": [0.8699999999999999, 0.26999999999999996, -1.0499999999999998, 0.12, -0.75, -0.15000000000000002, 0.18, 0.06, -0.27, 0.24000000000000002, -0.9299999999999999, -0.03, 0.15, 0.06, -0.32999999999999996, 0.36, -0.5700000000000001, 0.18, 0.24, 0.18, -0.33, 0.57, -0.72, 0.27, 0.12, 0.36, -0.060000000000000026, 0.20999999999999996, -0.6299999999999997, -0.03, 0.24, 0.12, -0.27, 0.24, -0.48000000000000004, -0.15, 0.5099999999999998, -0.12, -0.84, 0.09000000000000002, -0.5099999999999999, -0.09, 0.44999999999999996, 0.18, -0.6600000000000001, 0.26999999999999996, -0.6899999999999997, -2.7755575615628914e-17], "iou": 0.7751210056248155, "pen": 0.0}, "12,5": {"x": [0.8099999999999998, 0.17999999999999997, -1.0199999999999998, 0.09, -0.69, -0.12000000000000002, 0.18, 0.18, -0.27, 0.24000000000000002, -0.9299999999999999, -0.06, 0.03, 0.06, -0.20999999999999996, 0.36, -0.7200000000000001, 0.3, 0.12, 0.18, -0.21000000000000002, 0.57, -0.84, 0.15000000000000002, 0.12, 0.32999999999999996, -0.060000000000000026, 0.23999999999999996, -0.5699999999999997, -0.06, 0.27, 0.12, -0.12000000000000002, 0.24, -0.51, -0.18, 0.3299999999999998, 0.12, -0.5999999999999999, 2.7755575615628914e-17, -0.5999999999999999, -0.27, 0.44999999999999996, 0.21, -0.6600000000000001, 0.11999999999999997, -0.8099999999999998, -0.12000000000000002], "iou": 0.8060416906579253, "pen": 0.0}, "12,6": {"x": [0.7199999999999998, 0.29999999999999993, -0.9599999999999997, 0.09, -0.7799999999999998, -0.15000000000000002, 0.18, 0.18, -0.39, 0.18000000000000002, -0.69, 0.0, 0.03, 0.3, -0.20999999999999996, 0.21, -0.3600000000000001, 0.33000000000000007, -0.06, 0.18, -0.12000000000000002, 0.51, -0.6, 0.18000000000000002, 0.09, 0.32999999999999996, -0.060000000000000026, 0.23999999999999996, -0.44999999999999973, 0.0, 0.15000000000000002, 0.12, -0.18000000000000002, 0.24, -0.48, -0.12, 0.3299999999999998, 0.12, -0.5999999999999999, 2.7755575615628914e-17, -0.5999999999999999, -0.21000000000000002, 0.44999999999999996, 0.21, -0.6600000000000001, -0.12000000000000002, -0.8099999999999998, -0.18000000000000002], "iou": 0.8115465594222806, "pen": 0.0}, "13,0": {"x": [0.48, 0.12, -0.6, -0.06, -0.84, 0.03, 0.48, 0.36, -0.24, -0.3, -0.99, 0.24, 0.24, 0.24, -0.48, 0.21, -0.36, 0.15, 0.0, 0.03, -0.48, -0.03, -0.12, 0.03, 0.06, 0.48, -0.24, 0.03, -0.09, -0.03, 0.12, 0.24, -0.36, -0.24, -0.36, -0.18, 0.42, -0.12, -0.42, -0.24, -0.51, -0.3, 0.24, 0.12, 0.0, -0.18, -0.8999999999999999, -0.24], "iou": 0.8192710577761175, "pen": 0.0}, "13,1": {"x": [0.54, 0.48, -0.72, 0.06, -0.6900000000000002, 0.21, 0.44999999999999996, 0.36, -0.57, -0.09, -0.96, 0.44999999999999996, -0.03, 0.32999999999999996, -0.48, 0.12, -0.84, 0.18, 0.0, 0.27, -0.48, 0.32999999999999996, -0.48, 0.15, 0.18, 0.36, -0.27, 0.06, -0.44999999999999996, 0.06, 0.3, 0.3, -0.3, -0.24, -0.48, 0.0, 0.36, 0.12, -0.36, -0.27, -0.51, -0.18, 0.48, 0.12, -0.51, -0.06, -0.8999999999999999, -0.18], "iou": 0.824336103235251, "pen": 0.0}, "13,2": {"x": [0.36000000000000004, 0.48, -0.39, -0.12, -1.02, 0.09, 0.38999999999999996, 0.54, -0.51, -0.06, -0.96, 0.14999999999999997, 0.21, 0.32999999999999996, -0.48, 0.24, -0.96, 0.12, 0.24, 0.27, -0.48, 0.32999999999999996, -0.48, 0.18, 0.18, 0.36, -0.27, 0.06, -0.32999999999999996, 0.3, 0.3, 0.3, -0.3, -0.24, -0.36, 0.0, 0.24, 0.48, -0.36, -0.27, -0.39, -0.18, 0.48, 0.12, -0.51, -0.12, -0.8399999999999999, -0.12], "iou": 0.8365072146099184, "pen": 0.0}, "13,3": {"x": [0.5700000000000001, 0.27, -0.63, 0.06, -0.84, 0.06, 0.08999999999999997, 0.36, -0.27, -0.15, -0.6299999999999999, -2.7755575615628914e-17, -0.06, 0.32999999999999996, -0.21, 0.09, -0.72, 0.06, 0.09, 0.27, -0.32999999999999996, 0.26999999999999996, -0.57, 0.18, -0.06, 0.36, -0.39, 0.06, -0.36, 0.21, 0.12, 0.27, -0.24, 0.03, -0.36, 0.12, 0.12, 0.24, -0.36, -0.12000000000000002, -0.51, 0.0, 0.32999999999999996, 0.15, -0.48, -0.18, -0.7799999999999998, -0.15], "iou": 0.8405449674599602, "pen": 0.0}, "13,4": {"x": [0.45000000000000007, 0.27, -0.39, 0.06, -0.8400000000000001, 0.18, 0.20999999999999996, 0.12, -0.21000000000000002, -0.03, -0.69, 0.2699999999999999, 0.18, 0.08999999999999997, -0.21, 0.09, -0.24, 0.18, 0.09, 0.18000000000000002, -0.23999999999999996, 0.05999999999999997, -0.08999999999999997, 0.12, 0.18, 0.36, -0.21000000000000002, 0.06, -0.18, 0.11999999999999997, 0.09, 0.39, -0.32999999999999996, 0.03, -0.27, 0.39, 0.03, 0.24, -0.03, 0.14999999999999997, -0.33000000000000007, 0.27, 0.20999999999999996, 0.33, -0.32999999999999996, -0.24, -0.7799999999999998, -0.09], "iou": 0.8584733477677536, "pen": 0.0}, "13,5": {"x": [0.3600000000000001, 0.24000000000000002, -0.33, -0.06, -0.8700000000000001, 0.12, 0.20999999999999996, 0.12, -0.21000000000000002, -0.03, -0.8099999999999999, 0.2099999999999999, 0.18, 0.08999999999999997, -0.44999999999999996, 0.09, -0.3, 0.21, 0.03, 0.21000000000000002, -0.20999999999999996, 0.17999999999999997, -0.23999999999999996, 0.32999999999999996, 0.03, 0.36, -0.21000000000000002, 0.06, -0.18, 0.14999999999999997, -0.03, 0.39, -0.20999999999999996, 0.03, -0.15000000000000002, 0.33, -0.03, 0.24, 0.08999999999999997, -0.030000000000000027, -0.21000000000000008, 0.33, 0.14999999999999997, 0.33, -0.32999999999999996, -0.24, -0.7199999999999998, 0.0], "iou": 0.8603530515067941, "pen": 0.0}, "13,6": {"x": [0.45000000000000007, 0.27, -0.5700000000000001, 0.06, -0.75, 0.03, 0.17999999999999997, 0.24000000000000002, -0.27, 0.06, -0.6599999999999999, 0.059999999999999915, 0.15, 0.26999999999999996, -0.38999999999999996, 0.09, -0.39, 0.15, 0.03, 0.30000000000000004, -0.26999999999999996, 0.11999999999999997, -0.44999999999999996, 0.48, 0.0, 0.36, -0.18000000000000002, 0.09, -0.24, 0.08999999999999997, 0.02999999999999997, 0.27, -0.08999999999999997, 0.15, -0.21000000000000002, 0.030000000000000027, 0.21, 0.0, -0.15000000000000002, 0.29999999999999993, -0.39, 0.09000000000000002, 0.08999999999999997, 0.18000000000000002, -0.20999999999999996, -0.15, -0.7799999999999998, 0.0], "iou": 0.8791997955729605, "pen": 0.0}, "14,0": {"x": [0.36, 0.06, -0.27, 0.12, -0.72, -0.36, 0.44999999999999996, -0.12, -0.42, 0.18, -0.69, -0.35999999999999943, 0.24, 0.0, -0.51, 0.44999999999999996, 0.0, -0.39, -0.03, 0.15, -0.44999999999999996, 0.06, -0.29999999999999993, -0.12, 0.06, 0.12, -0.12, 0.12, -0.24, 0.18, 0.18, 0.0, -0.18, -0.06, -0.24, 0.12, 0.48, -0.03, -0.48, 0.0, -0.51, -0.03, 0.24, 0.0, -0.12, 0.24, -0.6599999999999999, 0.0], "iou": 0.8119922664587309, "pen": 0.0}, "14,1": {"x": [0.6, 0.3, -0.63, 0.06, -0.8399999999999999, -0.27, 0.44999999999999996, -0.12, -0.42, 0.3, -0.9299999999999999, 5.551115123125783e-16, 0.24, 0.0, -0.51, 0.44999999999999996, -0.36, -0.030000000000000027, -0.03, 0.15, -0.44999999999999996, 0.48000000000000004, -0.5399999999999999, -0.06, 0.06, 0.0, -0.27, 0.18, -0.42, 0.03, 0.18, -0.24, -0.3, -0.06, -0.6, -0.06, 0.42, -0.09000000000000002, -0.42, 0.0, -0.81, -0.06, 0.48, -0.12, -0.36, 0.18, -0.8999999999999999, -0.18], "iou": 0.8191000009154698, "pen": 0.0}, "14,2": {"x": [0.84, 0.3, -1.0499999999999998, 0.3, -0.9899999999999998, -0.09000000000000002, 0.44999999999999996, -0.12, -0.42, 0.32999999999999996, -1.14, 0.12000000000000055, 0.24, 0.0, -0.51, 0.44999999999999996, -0.6599999999999999, 0.32999999999999996, -0.03, 0.39, -0.44999999999999996, 0.72, -0.5399999999999999, 0.06, 0.06, 0.24, -0.33, 0.3, -0.54, -0.03, 0.18, -0.18, -0.3, 0.18, -0.6599999999999999, -0.06, 0.42, -0.30000000000000004, -0.32999999999999996, 0.21, -0.8400000000000001, -0.03, 0.48, -0.12, -0.48, 0.36, -0.8999999999999997, -0.12], "iou": 0.789922605181068, "pen": 0.0}, "14,3": {"x": [0.8400000000000001, 0.15, -1.0499999999999998, 0.27, -0.7199999999999998, -0.12000000000000002, 0.69, -0.12, -0.7799999999999999, 0.26999999999999996, -0.7799999999999999, 5.551115123125783e-16, 0.24, 0.0, -0.51, 0.44999999999999996, -0.5699999999999998, 0.14999999999999997, -0.03, 0.27, -0.44999999999999996, 0.6, -0.7799999999999999, 0.03, 0.18, 0.12, -0.33, 0.54, -0.75, -0.03, 0.24, 0.0, -0.18, 0.42000000000000004, -0.6299999999999999, 0.03, 0.36, -0.15000000000000005, -0.20999999999999996, 0.12, -0.75, -0.03, 0.36, 0.12, -0.48, 0.15, -0.8099999999999998, 0.0], "iou": 0.7964952731546826, "pen": 0.0}, "14,4": {"x": [0.8400000000000001, 0.27, -1.0499999999999998, 0.33, -0.5999999999999998, -0.030000000000000027, 0.8099999999999999, -0.06, -0.7799999999999999, 0.26999999999999996, -0.75, 0.18000000000000055, 0.24, -0.18, -0.45, 0.51, -0.6899999999999998, 0.29999999999999993, 0.12, 0.18000000000000002, -0.38999999999999996, 0.42, -0.6599999999999999, 0.03, 0.15, 0.15, -0.18000000000000002, 0.54, -0.54, -0.06, 0.18, 0.0, -0.12, 0.42000000000000004, -0.5999999999999999, -0.03, 0.24, -0.06000000000000005, -0.2699999999999999, 0.12, -0.69, -0.06, 0.36, 0.24, -0.48, 0.15, -0.7499999999999998, 0.0], "iou": 0.8089133938372752, "pen": 0.0}, "14,5": {"x": [0.78, 0.21000000000000002, -0.9899999999999998, 0.27, -0.47999999999999976, -0.09000000000000002, 0.6299999999999999, 0.0, -0.6599999999999999, 0.26999999999999996, -0.6, 0.09000000000000055, 0.21, -0.18, -0.21000000000000002, 0.54, -0.6599999999999998, 0.05999999999999994, 0.09, 0.12000000000000002, -0.32999999999999996, 0.44999999999999996, -0.5399999999999999, 0.0, 0.15, 0.15, -0.24000000000000002, 0.51, -0.30000000000000004, -0.12, 0.12, 0.03, -0.27, 0.54, -0.4799999999999998, -0.15000000000000002, 0.36, 0.05999999999999994, -0.5099999999999999, 0.36, -0.57, -0.06, 0.24, 0.24, -0.48, 0.33, -0.6599999999999997, -0.06], "iou": 0.83095639276963, "pen": 0.0}, "14,6": {"x": [0.57, 0.15000000000000002, -0.8999999999999997, 0.12000000000000002, -0.5399999999999998, -0.030000000000000027, 0.5399999999999998, 0.0, -0.5999999999999999, 0.05999999999999997, -0.54, 0.030000000000000554, 0.21, 0.06, -0.21000000000000002, 0.30000000000000004, -0.3599999999999998, -0.06000000000000005, 0.09, 0.12000000000000002, -0.32999999999999996, 0.32999999999999996, -0.5399999999999999, 0.09, 0.15, 0.15, -0.27, 0.30000000000000004, -0.33000000000000007, -0.03, 0.09, 0.03, -0.24000000000000002, 0.54, -0.5999999999999999, -0.15000000000000002, 0.36, 0.05999999999999994, -0.5099999999999999, 0.36, -0.7799999999999999, -0.24, 0.24, 0.24, -0.48, 0.09000000000000002, -0.6899999999999997, -0.06], "iou": 0.809526105320644, "pen": 0.0}, "16,0": {"x": [0.36, 0.03, -0.51, -0.06, -0.8400000000000001, -0.42000000000000004, 0.24, 0.0, 0.0, 0.12, -0.96, 0.06, 0.24, 0.03, -0.48, 0.06, -0.06, -0.03, 0.0, 0.0, 0.0, -0.21, -0.12, -0.12, 0.0, 0.24, 0.0, -0.24, -0.06, -0.3, 0.24, 0.0, -0.48, 0.0, -0.12, -0.48, 0.0, 0.0, -0.24, 0.0, -0.27, -0.44999999999999996, 0.0, 0.0, -0.27, -0.09, -0.42, -0.6], "iou": 0.8440970883950261, "pen": 0.0}, "16,1": {"x": [1.08, 0.27, -0.6900000000000001, 0.18, -0.9299999999999999, 0.08999999999999994, 0.44999999999999996, 0.0, -0.03, 0.24, -0.9299999999999999, 0.12, 0.12, 0.24000000000000002, -0.12, -0.18, -0.36, 0.0, 0.0, -0.12, 0.03, -0.36, -0.18, -0.15, 0.0, 0.0, 0.0, -0.24, -0.21, -0.18, 0.3, 0.0, -0.4799999999999998, -0.06, -0.18, -0.42, 0.21, -0.24, -0.48, 0.18, -0.12000000000000002, -0.17999999999999997, 0.0, 0.15, -0.27, 0.03, -0.5399999999999999, -0.27], "iou": 0.8163130413598376, "pen": 0.0}, "16,2": {"x": [0.78, 0.45, -0.45, 0.06, -1.0499999999999998, 0.029999999999999943, 0.44999999999999996, 0.12, -0.18, 0.32999999999999996, -0.9899999999999998, 0.18, 0.12, 0.21000000000000002, -0.03, -0.18, -0.69, -0.18, -0.06, 0.06, -0.09, -0.24, -0.32999999999999996, -0.21, 0.0, 0.0, -0.24, -0.24, -0.32999999999999996, -0.12, 0.24000000000000002, 0.0, -0.3899999999999998, -0.06, -0.21, -0.44999999999999996, 0.17999999999999997, 0.06, -0.5099999999999999, -0.06, -0.24000000000000013, -0.23999999999999994, 0.24, 0.12000000000000002, -0.51, 0.0, -0.8399999999999999, -0.21000000000000002], "iou": 0.8224995597723694, "pen": 0.0}, "16,3": {"x": [0.8999999999999999, 0.33, -0.6599999999999999, 0.3, -0.9299999999999998, 0.11999999999999994, 0.44999999999999996, 0.12, -0.3, 0.44999999999999996, -0.9899999999999998, 0.15, 0.12, 0.42000000000000004, -0.27, 0.03, -0.8099999999999999, -0.06, -0.06, 0.30000000000000004, -0.18, 0.0, -0.44999999999999996, -0.24, 0.24, 0.18, -0.21, 0.0, -0.17999999999999997, -0.15, 0.18000000000000002, 0.06, -0.3899999999999998, 0.06, -0.21, -0.32999999999999996, 0.14999999999999997, 0.12, -0.5999999999999999, 0.03, -0.3600000000000001, -0.17999999999999994, 0.48, 0.36, -0.63, 0.06, -0.7799999999999998, -0.15000000000000002], "iou": 0.8181660845863968, "pen": 0.0}, "16,4": {"x": [0.96, 0.33, -0.6599999999999999, 0.24, -0.8999999999999999, 0.05999999999999994, 0.44999999999999996, 0.0, -0.21, 0.48, -1.1099999999999999, 0.24000000000000002, 0.12, 0.36000000000000004, -0.27, 0.06, -0.87, 0.0, 0.18, 0.30000000000000004, -0.27, 0.09, -0.6, -0.18, 0.3, 0.18, -0.27, 0.0, -0.35999999999999993, -0.15, 0.18000000000000002, 0.06, -0.3299999999999998, 0.06, -0.30000000000000004, -0.32999999999999996, 0.14999999999999997, 0.15, -0.5999999999999999, 0.24000000000000002, -0.45000000000000007, -0.2699999999999999, 0.48, 0.36, -0.63, 0.3, -0.7799999999999998, -0.030000000000000027], "iou": 0.8228032595180214, "pen": 0.0}, "16,5": {"x": [0.72, 0.48, -0.6599999999999999, 0.15, -0.6599999999999999, 0.029999999999999943, 0.44999999999999996, 0.0, -0.21, 0.48, -0.6899999999999998, 0.030000000000000027, 0.06, 0.36000000000000004, -0.27, 0.12, -0.87, -0.12, 0.12, 0.24000000000000005, -0.39, 0.09, -0.6, -0.12, 0.24, 0.18, -0.33, 0.0, -0.41999999999999993, -0.09, 0.18000000000000002, 0.06, -0.2699999999999998, 0.06, -0.36000000000000004, -0.20999999999999996, 0.11999999999999997, 0.42000000000000004, -0.5999999999999999, 0.27, -0.3600000000000001, -0.059999999999999915, 0.39, 0.6, -0.57, 0.3900000000000001, -0.5699999999999998, 0.11999999999999997], "iou": 0.8590094229013758, "pen": 0.0}, "16,6": {"x": [0.48, 0.48, -0.6599999999999999, 0.09, -0.5099999999999999, -0.51, 0.20999999999999996, 0.0, -0.21, 0.44999999999999996, -0.47999999999999976, -0.14999999999999997, 0.06, 0.12000000000000005, -0.15000000000000002, 0.27, -0.5700000000000001, 0.03, -0.03, 0.24000000000000005, -0.18000000000000002, 0.12, -0.48, 0.03, 0.06, 0.15, -0.21000000000000002, 0.0, -0.3899999999999999, -0.09, 0.18000000000000002, 0.06, -0.2699999999999998, 0.06, -0.36000000000000004, -0.26999999999999996, 0.11999999999999997, 0.18000000000000005, -0.5999999999999999, 0.24000000000000002, -0.3600000000000001, -0.11999999999999994, 0.39, 0.6, -0.8099999999999999, 0.27000000000000013, -0.26999999999999985, -0.6], "iou": 0.8680471910876408, "pen": 0.0003558779454466837}, "15,0": {"x": [0.72, 0.48, -0.12, 0.12, 0.0, 0.18, 0.24, -0.12, -0.3, -0.24, -0.36, -0.06, 0.24, -0.24, -0.48, -0.24, -0.72, -0.15, 0.0, 0.0, 0.03, 0.0, -0.18, -0.24, 0.0, 0.24, 0.0, 0.6, 0.48, 0.0, 0.24, -0.24, -0.48, 0.24, -0.03, 0.0, 0.6599999999999999, -0.48, -0.8999999999999999, 0.06, -0.12, 0.18, 0.27, -0.24, -0.27, 0.0, -0.39, 0.15], "iou": 0.7403406931645728, "pen": 0.0}, "15,1": {"x": [1.2, 0.48, -0.12, 0.36, 0.24, 0.18, 0.24, -0.12, -0.42, -0.36, -0.6, -0.06, 0.24, -0.24, -0.48, -0.15, -0.75, -0.030000000000000027, 0.0, 0.0, 0.09, 0.0, -0.24, -0.32999999999999996, 0.0, 0.06, 0.0, 0.6599999999999999, 0.18, 0.06, 0.12, -0.48, -0.36, 0.24, -0.15000000000000002, 0.0, 0.35999999999999993, -0.48, -0.5999999999999999, 0.24, -0.36, 0.06, 0.27, -0.24, -0.27, 0.0, -0.39, 0.12], "iou": 0.7329568942622577, "pen": 0.0}, "15,2": {"x": [1.08, 0.6, 0.6, 0.36, 0.27, 0.18, 0.21, -0.12, -0.42, -0.32999999999999996, -0.6, -0.06, 0.24, -0.24, -0.48, -0.18, -0.75, -2.7755575615628914e-17, 0.0, 0.0, 0.12, 0.0, -0.48, -0.26999999999999996, -0.03, -0.24, -0.15, 0.17999999999999994, -0.24, -0.06, 0.06, -0.48, -0.36, 0.24, -0.27, 0.0, 0.23999999999999994, -0.57, -0.5999999999999999, 0.21, -0.36, 0.0, 0.27, -0.24, -0.27, 0.0, -0.39, 0.09], "iou": 0.7701946333425546, "pen": 0.0}, "15,3": {"x": [0.5700000000000001, 0.48, 0.24, 0.36, 0.39, 0.42, 0.41999999999999993, -0.15, -0.5999999999999999, -0.14999999999999997, -0.5399999999999999, 0.09, 0.24, -0.18, -0.48, -0.12, -0.69, -2.7755575615628914e-17, 0.0, 0.0, 0.12, 0.0, -0.48, -0.26999999999999996, 0.03, -0.18, -0.21, 0.17999999999999994, -0.36, -0.12, 0.06, -0.48, -0.36, 0.24, -0.33, 0.0, 0.23999999999999994, -0.57, -0.5999999999999999, 0.21, -0.36, 0.03, 0.27, -0.24, -0.27, 0.0, -0.39, 0.26999999999999996], "iou": 0.7434717931003584, "pen": 6.743634010193678e-05}, "15,4": {"x": [0.33000000000000007, 0.36, -0.03, 0.09, -0.11999999999999997, -0.03, 0.47999999999999976, -0.03, -0.44999999999999984, -0.20999999999999996, -0.3899999999999999, -0.09, 0.24, -0.12, -0.48, -0.06, -0.57, -0.060000000000000026, 0.0, -0.06, 0.12, -0.06, -0.48, -0.26999999999999996, 0.03, -0.18, -0.21, 0.05999999999999994, -0.42, -0.18, 0.06, -0.48, -0.36, 0.24, -0.45, 0.0, 0.4799999999999999, -0.57, -0.5999999999999999, 0.21, -0.36, 0.03, 0.27, -0.24, -0.27, 0.0, -0.45, -0.030000000000000027], "iou": 0.7817265981617781, "pen": 0.0}, "15,5": {"x": [0.21000000000000008, 0.12, -0.09, -0.09, -0.54, -0.15000000000000002, 0.9299999999999997, 0.09, -1.0199999999999998, -0.14999999999999997, -0.5699999999999998, -0.15, 0.36, -0.15, -0.48, -0.06, -0.57, -0.18000000000000002, 0.0, -0.3, 0.0, -0.06, -0.44999999999999996, -0.44999999999999996, 0.03, -0.3, -0.21, -0.06000000000000005, -0.36, -0.3, 0.0, -0.48, -0.3, 0.24, -0.6300000000000001, -0.12, 0.54, -0.5099999999999999, -0.4199999999999999, 0.06, -0.54, -0.12, 0.27, -0.24, -0.27, -0.06, -0.51, -0.27], "iou": 0.8141700910283365, "pen": 0.0}, "15,6": {"x": [0.21000000000000008, 0.12, -0.12, -0.29999999999999993, -0.48, -0.24000000000000002, 0.8699999999999997, 0.20999999999999996, -1.0199999999999998, -0.36, -0.6599999999999999, -0.33, 0.6, 0.05999999999999997, -0.54, -0.54, -0.5999999999999999, -0.39, 0.12, -0.3, -0.15, -0.3, -0.48, -0.44999999999999996, -0.03, -0.48, -0.21, 0.05999999999999994, -0.42, -0.36, 0.0, -0.48, -0.3, 0.24, -0.7500000000000001, 0.0, 0.30000000000000004, -0.5099999999999999, -0.14999999999999988, 0.06, -0.7200000000000002, -0.09, 0.42000000000000004, -0.36, -0.42000000000000004, -0.36, -0.45, -0.36], "iou": 0.8346469175495026, "pen": 6.186456229591297e-05}, "15,7": {"x": [0.21000000000000008, 0.12, -0.12, -0.29999999999999993, -0.72, -0.36, 0.8699999999999997, 0.26999999999999996, -0.9899999999999998, -0.36, -0.6599999999999999, -0.39, 0.48, 0.02999999999999997, -0.66, -0.54, -0.5699999999999998, -0.33, 0.15, -0.27, -0.39, -0.3, -0.51, -0.38999999999999996, -0.03, -0.48, -0.21, 0.05999999999999994, -0.42, -0.15, 0.0, -0.48, -0.24, 0.24, -0.6600000000000001, 0.0, 0.30000000000000004, -0.5099999999999999, -0.14999999999999988, 0.06, -0.6900000000000002, -0.20999999999999996, 0.42000000000000004, -0.36, -0.42000000000000004, -0.36, -0.51, -0.48], "iou": 0.8497976979030559, "pen": 0.0}, "15,8": {"x": [0.21000000000000008, -0.06, -0.36, -0.29999999999999993, -0.6, -0.3, 0.8699999999999997, 0.26999999999999996, -0.9899999999999998, -0.36, -0.72, -0.09000000000000002, 0.44999999999999996, 0.02999999999999997, -0.66, -0.30000000000000004, -0.47999999999999976, -0.18000000000000002, 0.15, -0.030000000000000027, -0.39, -0.3, -0.39, -0.38999999999999996, -0.03, -0.36, -0.32999999999999996, 0.05999999999999994, -0.44999999999999996, -0.18000000000000002, -0.03, -0.48, -0.27, 0.24, -0.6300000000000001, 0.0, 0.30000000000000004, -0.47999999999999987, -0.17999999999999988, 0.03, -0.7800000000000001, -0.17999999999999997, 0.42000000000000004, -0.42, -0.36000000000000004, -0.36, -0.6299999999999999, -0.42], "iou": 0.837138960017835, "pen": 1.0215072082417342e-05}, "15,9": {"x": [0.21000000000000008, -0.3, -0.36, -0.05999999999999994, -0.6, -0.03, 0.8699999999999997, 0.26999999999999996, -1.0199999999999998, -0.36, -0.69, -0.09000000000000002, 0.38999999999999996, -0.030000000000000027, -0.66, -0.30000000000000004, -0.41999999999999976, -0.060000000000000026, 0.12, -0.030000000000000027, -0.36, -0.3, -0.48, -0.14999999999999997, 0.03, -0.36, -0.38999999999999996, 0.05999999999999994, -0.38999999999999996, -0.18000000000000002, -0.03, -0.48, -0.30000000000000004, 0.24, -0.4800000000000001, 0.0, 0.30000000000000004, -0.47999999999999987, -0.23999999999999988, 0.09, -0.7800000000000001, -0.29999999999999993, 0.36000000000000004, -0.42, -0.36000000000000004, -0.36, -0.5699999999999998, -0.21], "iou": 0.8396135256192465, "pen": 3.292230147189379e-05}, "17,0": {"x": [0.0, 0.18, -0.48, 0.0, -0.21, -0.24, 0.0, 0.24, -0.24, 0.0, -0.12, -0.09, 0.24, 0.48, -0.72, 0.0, 0.24, 0.12, 0.03, 0.24, -0.39, 0.24, 0.24, 0.06, 0.18, 0.12, -0.24, 0.24, 0.06, -0.24, 0.24, 0.0, -0.48, 0.24, 0.06, -0.24, 0.0, -0.24, -0.24, 0.24, 0.0, -0.21, 0.0, 0.0, -0.24, 0.18, -0.24, -0.24], "iou": 0.8666915203874541, "pen": 0.0}, "17,1": {"x": [-0.03, 0.42, -0.48, 0.0, -0.17999999999999997, -0.3, -0.06, 0.24, -0.24, 0.0, 0.06, -0.03, 0.24, 0.39, -0.6299999999999999, -0.06, 0.24000000000000002, 0.12, 0.15, 0.24, -0.33, 0.12, 0.3, 0.12, 0.15, 0.12, -0.29999999999999993, 0.21, 0.21, -0.12, 0.06, 0.06, -0.36, 0.24, 0.0, -0.3, 0.0, -0.06, -0.24, 0.09, 0.0, -0.21, 0.0, 0.18, -0.24, 0.06, -0.3, -0.27], "iou": 0.8621030968251444, "pen": 0.0}, "17,2": {"x": [-0.03, 0.42, -0.51, 0.0, 0.060000000000000026, -0.24, -0.03, 0.44999999999999996, -0.39, -0.06, 0.21000000000000002, -0.03, 0.21, 0.39, -0.5399999999999998, -0.06, 0.36, 0.09, 0.15, 0.24, -0.24000000000000002, 0.0, 0.27, 0.12, 0.15, 0.12, -0.29999999999999993, 0.06, 0.32999999999999996, -0.06, 0.06, 0.0, -0.36, 0.18, 0.06, -0.24, 0.0, -0.06, -0.24, 0.09, -0.18, -0.21000000000000002, -0.03, 0.18, -0.24, 0.09, -0.27, -0.21000000000000002], "iou": 0.8517469483216729, "pen": 0.0}, "17,3": {"x": [-0.03, 0.41999999999999993, -0.45, -0.06, 2.7755575615628914e-17, -0.06, 0.21, 0.44999999999999996, -0.39, -0.12, -0.02999999999999997, -0.03, 0.21, 0.54, -0.35999999999999976, -0.24, 0.24, 0.09, 0.15, 0.24, -0.32999999999999996, 0.0, 0.30000000000000004, 0.06, 0.15, 0.12, -0.41999999999999993, -0.06, 0.17999999999999997, -0.06, 0.06, -0.06, -0.36, 0.0, 0.03, -0.15, 0.0, -0.06, -0.42, 0.09, -0.09, -0.21000000000000002, -0.03, 0.18, -0.24, 0.09, -0.27, -0.21000000000000002], "iou": 0.8315115852485413, "pen": 0.0}, "17,4": {"x": [-0.03, 0.41999999999999993, -0.45, 0.0, 0.030000000000000027, -0.09, 0.21, 0.44999999999999996, -0.39, -0.12, -0.02999999999999997, -0.09, 0.21, 0.54, -0.35999999999999976, -0.24, 0.18, -0.03, 0.09, 0.24, -0.20999999999999996, -0.03, 0.30000000000000004, -0.03, 0.15, 0.12, -0.41999999999999993, -0.06, 0.23999999999999996, -0.06, 0.06, -0.06, -0.36, 0.03, 0.0, -0.12, 0.0, -0.03, -0.42, 0.09, -0.09, -0.15000000000000002, -0.03, 0.18, -0.24, 0.09, -0.21000000000000002, -0.060000000000000026], "iou": 0.8481205849993586, "pen": 0.0}, "17,5": {"x": [-0.03, 0.17999999999999994, -0.51, 0.06, -0.11999999999999997, -0.09, 0.21, 0.14999999999999997, -0.57, -0.03, -0.14999999999999997, -0.03, 0.21, 0.30000000000000004, -0.35999999999999976, -0.09, -0.06, -0.15000000000000002, 0.09, 0.21, -0.17999999999999997, 0.18, 0.3600000000000001, -0.21000000000000002, 0.21000000000000002, -0.03, -0.41999999999999993, 0.12, 0.20999999999999996, -0.12, 0.12000000000000005, -0.06, -0.24, 0.060000000000000026, 0.09, -0.09, 0.12, -0.15000000000000002, -0.42, 0.09, 0.030000000000000027, -0.18000000000000002, -0.03, -0.06, -0.24, 0.32999999999999996, -0.24000000000000002, -0.18000000000000002], "iou": 0.8579135062508504, "pen": 0.0}, "17,6": {"x": [-0.03, 0.08999999999999994, -0.42000000000000004, 0.0, -0.17999999999999997, -0.09, 0.18, -2.7755575615628914e-17, -0.57, -0.12, -0.32999999999999996, -0.03, 0.12, 0.30000000000000004, -0.2699999999999998, -0.15, -0.18, -0.060000000000000026, 0.09, 0.36, -0.11999999999999997, 0.03, 0.06000000000000011, -0.15000000000000002, 0.33, 0.08999999999999997, -0.5399999999999999, 0.06, 0.14999999999999997, 0.0, 0.36000000000000004, -0.03, -0.48, 0.060000000000000026, 0.09, -0.06, 0.12, 0.08999999999999997, -0.42, -0.15, 0.15000000000000002, -0.24000000000000002, -0.03, -0.06, -0.24, 0.02999999999999997, -0.12000000000000002, -0.21000000000000002], "iou": 0.8438497359079227, "pen": 0.0}, "18,0": {"x": [0.3, -0.06, -0.12, -0.24, -0.51, -0.15, 0.36, -0.03, -0.36, 0.0, -0.7799999999999999, -0.12, 0.24, -0.18, -0.27, 0.12, -0.6, -0.15, 0.0, 0.24, 0.0, 0.0, -0.24, -0.42, 0.0, 0.12, -0.12, -0.18, -0.36, -0.36, 0.48, 0.24, -0.36, 0.0, -0.6, -0.18, 0.5099999999999999, -0.03, -0.5699999999999998, 0.18000000000000002, -0.39, -0.18, 0.24, 0.24000000000000002, -0.06, -0.03, -0.36, -0.21], "iou": 0.831720121489024, "pen": 0.0}, "18,1": {"x": [0.3, 0.09, -0.15, -0.18, -0.51, -0.18000000000000002, 0.36, -0.03, -0.36, -0.09, -0.72, -0.15, 0.24, -0.06, -0.27, 0.03, -0.51, -0.09, 0.0, 0.24, 0.0, 0.06, -0.24, -0.32999999999999996, 0.09, 0.06, -0.27, -0.06, -0.3, -0.24, 0.36, 0.12, -0.57, -0.06, -0.39, -0.21, 0.5099999999999999, -0.15000000000000002, -0.5699999999999998, 0.12000000000000002, -0.36, -0.09, 0.24, 0.12000000000000002, -0.06, 0.15, -0.48, -0.09], "iou": 0.852448101703089, "pen": 0.0}, "18,2": {"x": [0.3, -0.03, -0.15, -0.03, -0.54, -0.12000000000000002, 0.36, -0.03, -0.36, -0.12, -0.6299999999999999, -0.12, 0.24, 0.12, -0.27, 0.09, -0.36, -0.26999999999999996, -0.03, 0.27, 0.0, 0.06, -0.24, -0.26999999999999996, 0.12, 0.15, -0.18000000000000002, -0.06, -0.32999999999999996, -0.27, 0.36, 0.12, -0.57, -0.09, -0.33, -0.21000000000000002, 0.41999999999999993, -0.030000000000000027, -0.47999999999999976, 2.7755575615628914e-17, -0.24, -0.03, 0.24, 0.12000000000000002, -0.06, 0.15, -0.42, -0.06], "iou": 0.8669753503941348, "pen": 0.0}, "18,3": {"x": [0.3, -0.09000000000000002, -0.15, -0.06, -0.5400000000000001, -0.12000000000000002, 0.3, 0.03, -0.36, 0.0, -0.47999999999999976, -0.09, 0.21, 0.06, -0.27, 0.12, -0.18, -0.08999999999999997, -0.03, 0.27, 0.0, 0.0, -0.24, -0.26999999999999996, 0.12, 0.18, -0.18000000000000002, -0.12, -0.29999999999999993, -0.39, 0.36, 0.36, -0.57, -0.03, -0.33, -0.21000000000000002, 0.41999999999999993, 0.20999999999999996, -0.47999999999999976, 0.15000000000000002, -0.44999999999999996, 0.0, 0.24, 0.12000000000000002, -0.06, 0.21, -0.42, -0.06], "iou": 0.8663025552228332, "pen": 0.0}, "18,4": {"x": [0.3, -0.030000000000000027, -0.21, 0.0, -0.5700000000000001, -0.060000000000000026, 0.3, 0.03, -0.36, -0.03, -0.2699999999999998, -0.03, 0.21, 0.06, -0.27, 0.18, -0.03, -0.05999999999999997, -0.03, 0.21000000000000002, -0.03, 0.09, -0.24, -0.20999999999999996, 0.09, 0.18, -0.18000000000000002, -0.12, -0.23999999999999994, -0.27, 0.3, 0.36, -0.51, -0.03, -0.30000000000000004, -0.15000000000000002, 0.3899999999999999, 0.11999999999999997, -0.5699999999999997, 0.18000000000000002, -0.32999999999999996, 0.03, 0.24, 0.12000000000000002, -0.06, 0.09, -0.48000000000000004, 0.0], "iou": 0.8742014000329403, "pen": 0.0}, "18,5": {"x": [0.3, -0.030000000000000027, 0.0, -0.03, -0.54, -0.15000000000000002, 0.30000000000000004, 0.03, -0.32999999999999996, 0.03, -0.6299999999999997, -0.06, 0.21, 0.06, -0.27, 0.06, -0.09, 2.7755575615628914e-17, -0.03, 0.21000000000000002, -0.03, 0.09, -0.24, -0.20999999999999996, 0.09, 0.18, -0.18000000000000002, -0.12, -0.35999999999999993, -0.21000000000000002, 0.3, 0.27, -0.51, 0.0, -0.30000000000000004, -0.09000000000000002, 0.3899999999999999, 0.17999999999999997, -0.5699999999999997, 0.18000000000000002, -0.32999999999999996, 0.03, 0.24, 0.12000000000000002, -0.06, 0.15, -0.42000000000000004, -0.15], "iou": 0.8720952234834405, "pen": 0.0}, "18,6": {"x": [0.3, -0.030000000000000027, -0.18, -0.03, -0.54, -0.15000000000000002, 0.42000000000000004, 0.03, -0.38999999999999996, 0.06, -0.5699999999999996, 0.03, 0.21, 0.06, -0.27, 0.12, -0.09, 0.24000000000000002, 0.0, 0.24000000000000002, -0.06, 0.06, -0.21, -0.14999999999999997, 0.15, 0.09, -0.18000000000000002, -0.12, -0.23999999999999994, -0.21000000000000002, 0.27, 0.12000000000000002, -0.51, -0.06, -0.30000000000000004, -0.24000000000000002, 0.3899999999999999, -0.060000000000000026, -0.5699999999999997, -0.05999999999999997, -0.32999999999999996, -0.29999999999999993, 0.24, 0.12000000000000002, -0.06, -0.09, -0.54, -0.09], "iou": 0.8302194189449539, "pen": 0.0}, "19,0": {"x": [0.18, -0.06, -0.18, 0.27, -0.5999999999999999, 0.0, 0.24, 0.0, -0.24, 0.24, -0.54, -0.12, 0.24, 0.24, -0.48, 0.24, -0.06, -0.12, 0.0, 0.24, 0.0, 0.3, -0.36, -0.24, 0.12, 0.0, -0.18, 0.06, -0.30000000000000004, 0.0, 0.24, 0.06, -0.24, 0.06, -0.24, 0.06, 0.21, 0.06, -0.32999999999999996, 0.18, -0.42000000000000004, 0.09, 0.24, -0.24, -0.21, 0.36, -0.5999999999999999, 0.12], "iou": 0.8521561156149244, "pen": 0.0}, "19,1": {"x": [0.18, -0.06, 0.06, 0.030000000000000027, -0.7199999999999999, -0.21, 0.24, 0.0, -0.24, 0.24, -0.54, -0.12, 0.24, 0.24, -0.48, 0.24, -0.06, -0.06, 0.06, 0.24, -0.06, 0.3, -0.42, -0.21, 0.12, 0.03, -0.18, 0.03, -0.36000000000000004, -0.03, 0.24, 0.3, -0.24, -0.18, -0.24, 0.18, 0.21, 0.03, -0.32999999999999996, 0.12, -0.27, 0.09, 0.24, -0.12, -0.27, 0.06, -0.3899999999999999, 0.0], "iou": 0.8698256534852862, "pen": 0.0}, "19,2": {"x": [0.18, -0.06, 0.06, 0.09000000000000002, -0.8099999999999998, -0.27, 0.24, 0.0, -0.24, 0.24, -0.66, 0.06, 0.24, 0.0, -0.48, 0.30000000000000004, -0.09, 0.18, 0.06, 0.0, -0.06, 0.33000000000000007, -0.44999999999999996, 0.15, 0.36, 0.03, -0.36, 0.27, -0.54, 0.03, 0.24, 0.3, -0.24, 0.0, -0.18, -0.06, 0.21, 0.03, -0.32999999999999996, 0.18, -0.33, -0.09, 0.24, -0.24, -0.27, 0.18, -0.3899999999999999, -0.06], "iou": 0.8700222387254639, "pen": 0.0}, "19,3": {"x": [0.18, -0.06, 0.06, 0.09000000000000002, -0.8099999999999998, -0.27, 0.24, 0.0, -0.24, 0.24, -0.66, 0.0, 0.24, 0.0, -0.44999999999999996, 0.33000000000000007, -0.15, 0.15, 0.06, 0.03, -0.06, 0.39000000000000007, -0.57, 0.09, 0.27, 0.18000000000000002, -0.27, 0.36, -0.54, 0.12, 0.21, 0.32999999999999996, -0.30000000000000004, 0.03, -0.24000000000000002, -0.06, 0.21, 0.03, -0.32999999999999996, 0.15, -0.30000000000000004, -0.06, 0.24, -0.21, -0.27, 0.18, -0.3899999999999999, -0.09], "iou": 0.8765532174277219, "pen": 0.0}, "19,4": {"x": [0.15, -0.06, 0.0, 0.15000000000000002, -0.8399999999999996, -0.09000000000000002, 0.24, -0.03, -0.24, 0.24, -0.54, 0.06, 0.24, 0.0, -0.26999999999999996, 0.33000000000000007, -0.21000000000000002, -0.03, 0.06, 0.03, -0.06, 0.39000000000000007, -0.44999999999999996, -0.03, 0.21000000000000002, 0.18000000000000002, -0.21000000000000002, 0.48, -0.48000000000000004, -0.09, 0.21, 0.32999999999999996, -0.18000000000000005, 0.03, -0.32999999999999996, -0.21, 0.21, 0.03, -0.32999999999999996, 0.06, -0.33000000000000007, -0.09, 0.24, -0.21, -0.27, 0.24, -0.3899999999999999, -0.03], "iou": 0.8836909524961755, "pen": 0.0}, "19,5": {"x": [0.15, -0.06, -0.09, 0.18000000000000002, -0.7199999999999995, 0.02999999999999997, 0.24, -0.03, -0.18, 0.18, -0.72, 0.06, 0.24, 0.03, -0.26999999999999996, 0.21000000000000008, -0.33, 0.09, 0.06, 0.27, 0.06, 0.15000000000000008, -0.20999999999999996, -0.18, 0.21000000000000002, 0.18000000000000002, -0.45, 0.48, -0.24000000000000005, -0.20999999999999996, 0.21, 0.32999999999999996, -0.33000000000000007, 0.03, -0.26999999999999996, -0.26999999999999996, 0.21, -0.03, -0.32999999999999996, 0.09, -0.33000000000000007, -0.12, 0.24, -0.21, -0.27, 0.24, -0.4499999999999999, -0.030000000000000027], "iou": 0.8748310054726687, "pen": 0.0}, "19,6": {"x": [0.30000000000000004, -0.06, -0.32999999999999996, 0.18000000000000002, -0.4499999999999995, -0.12000000000000002, 0.24, -0.03, -0.18, 0.3, -0.6599999999999999, 0.0, 0.24, 0.03, -0.26999999999999996, 0.24000000000000007, -0.27, 0.0, 0.06, 0.060000000000000026, 0.03, 0.42000000000000004, -0.32999999999999996, -0.15, 0.21000000000000002, 0.060000000000000026, -0.33, 0.09, -0.24000000000000005, -0.20999999999999996, 0.21, 0.20999999999999996, -0.33000000000000007, 0.0, -0.14999999999999997, -0.20999999999999996, 0.41999999999999993, 0.09, -0.5399999999999999, -0.03, -0.45000000000000007, -0.15, 0.24, -0.03, -0.27, 0.15, -0.3899999999999999, -0.09000000000000002], "iou": 0.8410641394001, "pen": 0.0}, "20,0": {"x": [0.0, 0.0, -0.03, 0.06, -0.27, 0.3, 0.0, 0.24, -0.03, 0.39, -0.39, 0.24, 0.06, 0.6, 0.24, 0.12, -0.24, 0.36, 0.0, 0.48, 0.0, 0.06, -0.3, 0.3, 0.09, 0.27, -0.18, 0.06, -0.21, 0.18, 0.18, 0.09, -0.18, -0.29999999999999993, -0.09, 0.03, 0.0, 0.21, 0.0, -0.44999999999999996, -0.03, -0.06, 0.24, 0.0, -0.48, -0.03, -0.3, 0.12], "iou": 0.8740379145748008, "pen": 0.0}, "20,1": {"x": [0.21, 0.03, -0.30000000000000004, 0.18, -0.5999999999999999, -0.09, 0.06, 0.18, -0.15, 0.48, -0.75, 0.09, 0.12, 0.6, -0.24, 0.12, -0.54, 0.36, 0.0, 0.42, -0.12, -0.12, -0.36, 0.21, 0.06, 0.21000000000000002, -0.15, -0.09, -0.21, 0.12, 0.09, 0.06, -0.18, -0.2699999999999999, -0.12, 0.0, 0.0, -0.15, -0.24, -0.44999999999999996, -0.06, -0.18, 0.24, -0.03, -0.48, -0.24000000000000002, -0.42, -0.09], "iou": 0.871799787623073, "pen": 0.0}, "20,2": {"x": [0.44999999999999996, 0.15, -0.66, 0.18, -0.69, -0.32999999999999996, 0.06, 0.18, -0.15, 0.12, -0.63, 0.09, 0.0, 0.48, -0.12, -0.06, -0.42000000000000004, 0.12, 0.0, 0.48, -0.12, -0.12, -0.39, -0.03, 0.06, 0.21000000000000002, -0.15, -0.09, -0.21, 0.12, 0.20999999999999996, 0.06, -0.18, -0.2099999999999999, -0.06, 0.0, 0.0, -0.21000000000000002, -0.24, -0.26999999999999996, -0.06, -0.18, 0.24, -0.03, -0.48, -0.24000000000000002, -0.36, -0.15], "iou": 0.8472294545751792, "pen": 0.0}, "20,3": {"x": [0.32999999999999996, 0.33, -0.48000000000000004, -0.06, -0.5699999999999998, -0.38999999999999996, 0.06, 0.18, -0.15, 0.18, -0.5700000000000001, 0.05999999999999997, 0.0, 0.44999999999999996, -0.09, -0.03, -0.51, 0.09, 0.0, 0.48, -0.12, -0.12, -0.51, -0.09, 0.06, 0.27, -0.09, -0.09, -0.32999999999999996, 0.06, 0.17999999999999997, 0.06, -0.21000000000000002, -0.1499999999999999, -0.15, -0.03, 0.0, -0.21000000000000002, -0.24, -0.26999999999999996, -0.12, -0.15, 0.24, -0.03, -0.48, -0.12000000000000002, -0.24, -0.15], "iou": 0.8709175652486696, "pen": 0.0}, "20,4": {"x": [0.39, 0.30000000000000004, -0.5399999999999998, -0.18, -0.5099999999999998, -0.17999999999999997, 0.12, 0.18, -0.21, 0.15, -0.54, 0.05999999999999997, 0.0, 0.41999999999999993, -0.06, -0.03, -0.36, 0.06, 0.0, 0.48, -0.12, -0.12, -0.39, -0.15, 0.06, 0.27, -0.09, -0.09, -0.29999999999999993, 0.0, 0.17999999999999997, 0.0, -0.21000000000000002, -0.1499999999999999, -0.21, -0.03, 0.0, -0.09000000000000002, -0.24, -0.11999999999999997, -0.15, -0.06, 0.24, 0.0, -0.39, 0.05999999999999997, -0.21, -0.06], "iou": 0.854050113361307, "pen": 0.0}, "21,0": {"x": [0.24, -0.24, -0.36, 0.0, -0.30000000000000004, -0.03, 0.18, -0.24, -0.24, -0.24, -0.30000000000000004, -0.03, 0.24, -0.24, -0.48, -0.24, -0.48, -0.24, 0.0, 0.24, 0.0, -0.24, -0.51, -0.6, 0.12, 0.24, -0.06, -0.36, -0.18, -0.6, 0.27, 0.03, -0.24, -0.51, -0.18, -0.44999999999999996, 0.0, 0.06, -0.03, -0.6, -0.30000000000000004, -0.48, 0.03, 0.24, 0.0, -0.24, -0.27, -0.3], "iou": 0.8365911745784714, "pen": 0.0}, "21,1": {"x": [0.6599999999999999, 0.24, -0.72, -0.06, -0.42000000000000004, -0.060000000000000026, 0.42, -0.18, -0.3, 0.06, -0.54, -0.03, 0.21, -0.21, -0.44999999999999996, -0.21, -0.5700000000000001, -0.15, 0.0, 0.21, 0.24, -0.24, -0.69, -0.36, 0.12, 0.48, -0.06, -0.06, -0.27, -0.42, 0.030000000000000027, 0.51, -0.3, -0.33, -0.29999999999999993, -0.29999999999999993, 0.18, 0.3, -0.39, -0.36, -0.42000000000000004, -0.30000000000000004, 0.27, 0.24, 0.0, -0.36, -0.75, -0.18], "iou": 0.8073931854868874, "pen": 0.0}, "21,2": {"x": [0.69, 0.21, -0.45000000000000007, -0.15, -0.7200000000000002, 0.029999999999999943, 0.6599999999999999, -0.42, -0.32999999999999996, 0.03, -0.72, -0.06, 0.21, -0.27, -0.41999999999999993, -0.20999999999999996, -0.42000000000000004, -0.15000000000000002, 0.03, 0.18, -0.27, -0.44999999999999996, -0.51, -0.32999999999999996, -0.12, 0.48, -0.06, -0.18, -0.63, -0.3, 0.24000000000000002, 0.51, -0.3, -0.09000000000000002, -0.47999999999999987, -0.17999999999999994, 0.8399999999999999, 0.0, -0.8699999999999999, -0.27, -0.48000000000000004, -0.21000000000000005, 0.51, 0.48, 0.0, -0.6599999999999999, -0.9299999999999999, -0.18], "iou": 0.7166217429510064, "pen": 0.0}, "21,3": {"x": [0.9299999999999999, 0.20999999999999996, -0.5700000000000001, -0.21, -0.7800000000000002, 0.08999999999999994, 0.7799999999999999, -0.42, -0.57, 0.03, -0.66, -0.03, 0.21, -0.27, -0.41999999999999993, -0.20999999999999996, -0.54, -0.15000000000000002, 0.03, 0.06, -0.27, -0.44999999999999996, -0.48, -0.05999999999999997, -0.12, 0.39, -0.18, -0.3, -0.51, -0.21, 0.12000000000000002, 0.54, -0.30000000000000004, -0.09000000000000002, -0.44999999999999984, -0.05999999999999994, 0.47999999999999987, 0.24, -0.5099999999999999, -0.15000000000000002, -0.6, 0.029999999999999916, 0.75, 0.24, -0.24, -0.5399999999999999, -1.14, 0.06], "iou": 0.6982090498139756, "pen": 0.0}, "21,4": {"x": [0.6599999999999999, 0.2699999999999999, -0.54, -0.09, -0.8100000000000003, 0.08999999999999994, 0.5399999999999999, -0.18, -0.51, -0.06, -0.5700000000000001, 0.03, 0.15, -0.15000000000000002, -0.41999999999999993, -0.17999999999999997, -0.39, -0.15000000000000002, -0.03, 0.0, -0.21000000000000002, -0.38999999999999996, -0.54, 2.7755575615628914e-17, -0.12, 0.21000000000000002, -0.18, -0.06, -0.45, -0.15, 0.36, 0.39, -0.51, -0.060000000000000026, -0.47999999999999987, -0.029999999999999943, 0.9599999999999999, 0.36, -0.5699999999999998, -0.18000000000000002, -0.8699999999999999, -0.06000000000000008, 0.75, 0.24, -0.24, -0.5399999999999999, -1.0799999999999998, -0.06], "iou": 0.7223247342425638, "pen": 0.0015814515165388648}, "21,5": {"x": [0.29999999999999993, -0.21000000000000008, -0.54, -0.32999999999999996, -0.7200000000000002, -0.15000000000000002, 0.05999999999999994, -0.3, -0.51, 0.06, -0.45000000000000007, 0.15000000000000002, 0.39, -0.12000000000000002, -0.6599999999999999, 0.030000000000000027, -0.27, 0.05999999999999997, 0.44999999999999996, 0.12, -0.45, -0.23999999999999996, -0.81, -0.02999999999999997, 0.12, 0.21000000000000002, -0.18, -0.06, -0.5700000000000001, -0.15, 0.6, 0.39, -0.63, 0.05999999999999997, -0.47999999999999987, -0.08999999999999991, 0.9599999999999999, 0.6, -0.5699999999999998, -0.36000000000000004, -0.9899999999999999, -0.24000000000000005, 0.75, 0.24, -0.24, -0.57, -1.2599999999999998, -0.30000000000000004], "iou": 0.629036960758493, "pen": 0.00018825335553362965}, "22,0": {"x": [0.48, 0.0, -0.18, -0.18, -0.36, -0.87, 0.24, -0.48, -0.03, -0.24, -0.24, -0.96, 0.21, 0.48, -0.21, 0.0, -0.18, 0.0, 0.0, 0.48, -0.24, 0.0, -0.12, -0.06, 0.18, 0.18, -0.27, -0.06, -0.09, -0.09, 0.18, 0.12, -0.42, 0.0, -0.12, -0.15, 0.06, -0.06, -0.3, 0.0, -0.32999999999999996, -0.36, 0.24, 0.0, -0.24, 0.0, -0.6, -0.48], "iou": 0.7043215952692853, "pen": 0.0}, "22,1": {"x": [0.36, -0.06, -0.35999999999999993, -0.18, -0.72, -0.63, 0.69, -0.48, -0.27, -0.48, -0.75, -0.72, 0.24, 0.51, -0.18, 0.0, -1.0799999999999998, 0.06, 0.24, 0.5999999999999999, -0.09, 0.18, -0.45000000000000007, -0.12, 0.18, 0.21, -0.24000000000000002, 0.15, -0.32999999999999996, -0.15, 0.18, 0.12, -0.18, 0.0, -0.24, -0.27, 0.18000000000000005, 0.03, -0.42000000000000004, -0.18, -0.35999999999999976, -0.54, 0.48, 0.06, -0.32999999999999996, -0.12, -0.8099999999999998, -0.48], "iou": 0.6615790679951059, "pen": 0.0}, "22,2": {"x": [0.39, 0.12, -0.32999999999999996, -0.24, -0.96, -0.48, 0.69, 0.06, -0.09000000000000002, -0.78, -1.47, -0.54, 0.24, 0.27, 0.06, 0.0, -0.8999999999999999, 0.0, 0.0, 0.3599999999999999, -0.32999999999999996, 0.18, -0.39000000000000007, -0.12, 0.06, 0.32999999999999996, -0.32999999999999996, 0.15, -0.36, -0.15, 0.15, 0.42, -0.63, 0.06, -0.51, -0.36, 0.9000000000000001, 0.75, -0.66, -0.06, -0.7799999999999996, -0.45000000000000007, 0.48, 0.3, -0.57, -0.12, -0.8399999999999999, -0.48], "iou": 0.6055084040597922, "pen": 0.0003653004240649349}, "22,3": {"x": [0.39, 0.32999999999999996, -0.32999999999999996, -0.21, -1.1400000000000001, -0.3, 0.6599999999999999, 0.06, -0.54, -0.27, -1.29, -0.18000000000000005, 0.24, 0.09000000000000002, 0.0, 0.0, -0.69, 0.03, -0.06, 0.3599999999999999, -0.26999999999999996, 0.18, -0.5700000000000001, -0.15, 0.18, 0.32999999999999996, -0.29999999999999993, 0.12, -0.51, -0.21, 0.24000000000000002, 0.42, -0.63, -0.3, -0.72, -0.39, 1.29, 0.8999999999999999, -1.08, -0.06, -0.9599999999999995, -0.42000000000000004, 0.42, 0.5700000000000001, -0.57, -0.12, -1.1399999999999997, -0.2699999999999999], "iou": 0.7300134151852973, "pen": 0.0}, "22,4": {"x": [0.30000000000000004, 0.20999999999999996, -0.20999999999999996, -0.24000000000000002, -1.1400000000000001, -0.15, 0.3599999999999999, 0.09, -0.24000000000000002, -0.21000000000000002, -0.99, 0.029999999999999943, 0.09, 0.09000000000000002, -0.09, 0.0, -0.45, 0.03, -0.06, 0.11999999999999988, -0.20999999999999996, 0.18, -0.39000000000000007, -0.15, 0.06, 0.20999999999999996, -0.29999999999999993, 0.12, -0.33, -0.27, 0.32999999999999996, 0.69, -0.27, -0.06, -0.3899999999999999, -0.42000000000000004, 0.81, 0.6599999999999999, -0.8700000000000001, -0.15, -0.7499999999999996, -0.36000000000000004, 0.42, 0.33000000000000007, -0.5399999999999999, -0.18, -0.8999999999999997, -0.2399999999999999], "iou": 0.7364627986710082, "pen": 0.0}, "22,5": {"x": [0.21000000000000005, -0.060000000000000026, -0.29999999999999993, -0.18000000000000002, -0.7200000000000002, -0.18, 0.20999999999999988, 0.14999999999999997, -0.33000000000000007, -0.12000000000000002, -0.5699999999999996, -0.15000000000000002, 0.20999999999999996, 0.15000000000000002, -0.26999999999999996, -0.03, -0.51, 0.0, -0.06, 0.2699999999999999, -0.38999999999999996, 0.18, -0.2700000000000001, -0.15, 0.18, 0.29999999999999993, -0.29999999999999993, 0.15, -0.27, -0.060000000000000026, 0.32999999999999996, 0.6299999999999999, -0.27, -0.3, -0.1799999999999999, -0.27, 0.3600000000000001, 0.5699999999999998, -0.54, -0.15, -0.6299999999999994, -0.33000000000000007, 0.39, 0.21000000000000008, -0.35999999999999993, -0.18, -0.7199999999999998, -0.2399999999999999], "iou": 0.7626790178149765, "pen": 0.0}, "30,0": {"x": [0.42, 0.06, -0.48, -0.09, -0.5699999999999998, 0.21, 0.24, -0.06, -0.24, -0.09, -0.6599999999999999, 0.48, 0.24, -0.21, -0.48, 0.0, -0.27, 0.5700000000000001, 0.0, 0.0, 0.0, 0.0, -0.42, 0.48, 0.0, 0.36, -0.24, 0.12, -0.24, 0.24, 0.12, 0.24, -0.12, 0.06, -0.18, 0.24, 0.18, 0.0, -0.12, -0.06, -0.36, 0.12, 0.24, 0.0, 0.0, 0.0, -0.72, 0.0], "iou": 0.8331509179593739, "pen": 0.0}, "30,1": {"x": [0.41999999999999993, 0.18, -0.42, 0.03, -0.8099999999999998, 0.24000000000000002, 0.42, 0.0, -0.48, 0.12, -0.8099999999999998, 0.48, 0.21, 0.06, -0.48, 0.12, -0.6000000000000001, 0.6900000000000001, 0.0, 0.0, 0.0, -0.12, -0.6599999999999999, 0.48, 0.0, 0.0, -0.18, -0.03, -0.48, 0.3, 0.0, 0.0, -0.09, 0.0, -0.3899999999999999, 0.21, 0.18, -0.24, -0.15, -0.18, -0.72, 0.18, 0.48, 0.24, -0.15, -0.27, -0.99, 0.12], "iou": 0.829338401896524, "pen": 0.0}, "30,2": {"x": [0.5399999999999999, 0.12, -0.39, 0.0, -0.8999999999999997, 0.36, 0.6599999999999999, 0.18, -0.72, 0.12, -0.7799999999999998, 0.54, 0.21, 0.06, -0.48, 0.12, -0.6000000000000001, 0.6900000000000001, 0.06, 0.15, 0.0, -0.18, -0.7799999999999999, 0.12, 0.18, 0.0, -0.18, -0.15, -0.6599999999999999, 0.12, 0.0, 0.03, -0.20999999999999996, -0.18, -0.69, 0.15, 0.36, -0.09, -0.39, -0.39, -1.02, 0.18, 0.72, 0.0, -0.45, -0.21000000000000002, -1.0499999999999998, 0.21], "iou": 0.776241326200295, "pen": 0.0}, "30,3": {"x": [0.5399999999999999, 0.32999999999999996, -0.51, -0.09, -0.8099999999999996, 0.48, 0.6599999999999999, 0.18, -0.72, -0.03, -0.8699999999999998, 0.5700000000000001, 0.27, 0.06, -0.42, 0.12, -0.78, 0.5700000000000001, 0.06, 0.15, 0.0, -0.18, -0.8999999999999999, 0.12, 0.06, 0.0, -0.12, -0.15, -0.72, 0.06, 0.12, 0.03, -0.32999999999999996, -0.15, -0.69, 0.18, 0.32999999999999996, -0.09, -0.39, -0.39, -0.81, 0.24, 0.5699999999999998, 0.18, -0.5399999999999998, -0.18000000000000002, -0.7799999999999998, 0.29999999999999993], "iou": 0.7900081609031652, "pen": 0.0}, "30,4": {"x": [0.5399999999999999, 0.23999999999999996, -0.51, -0.14999999999999997, -0.7499999999999996, 0.42, 0.6599999999999999, 0.18, -0.72, -0.15000000000000002, -0.9299999999999997, 0.5700000000000001, 0.27, 0.06, -0.42, 0.06, -0.8400000000000001, 0.6900000000000001, 0.09, 0.15, 0.0, -0.15, -0.8699999999999999, 0.12, 0.06, 0.0, 0.0, -0.15, -0.8099999999999999, 0.12, 0.12, 0.03, -0.23999999999999996, -0.18, -0.75, 0.21, 0.32999999999999996, 0.03, -0.39, -0.39, -0.51, 0.12, 0.5699999999999998, 0.18, -0.6599999999999998, -0.18000000000000005, -0.5399999999999998, 0.11999999999999994], "iou": 0.7917582446673024, "pen": 0.0}, "31,0": {"x": [0.12, 0.06, -0.36, -0.36, -0.2999999999999998, -0.06, 0.24, 0.12, -0.39, -0.48, -0.44999999999999996, 0.12, 0.24, 0.0, -0.48, -0.24, -0.21, 0.06, 0.0, 0.03, 0.06, 0.0, -0.21, -0.3, 0.0, 0.0, 0.0, 0.21, -0.15, 0.0, 0.24, 0.0, 0.0, 0.0, -0.39, -0.03, 0.24, -0.06, -0.24, -0.06, -0.33000000000000007, -0.03, 0.24, 0.03, -0.3, -0.12, -0.5399999999999998, -0.03], "iou": 0.8446587097417764, "pen": 0.0}, "31,1": {"x": [0.12, 0.03, -0.3, -0.32999999999999996, -0.2999999999999998, 0.03, 0.24, 0.12, -0.39, -0.48, -0.41999999999999993, 0.15, 0.24, 0.0, -0.48, -0.12, -0.21, 0.03, 0.0, 0.03, 0.09, 0.0, -0.18, -0.24, 0.0, 0.06, 0.0, 0.21, -0.33, -0.12, 0.24, 0.0, 0.0, 0.0, -0.24000000000000002, -0.09, 0.24, -0.06, -0.24, -0.06, -0.3600000000000001, -0.15, 0.24, 0.0, -0.3, -0.12, -0.5699999999999998, -0.03], "iou": 0.8434019083203534, "pen": 0.0}, "31,2": {"x": [0.12, 0.12, -0.3, -0.32999999999999996, -0.3599999999999998, 0.06, 0.24, 0.12, -0.42000000000000004, -0.48, -0.41999999999999993, 0.09, 0.18, -0.06, -0.41999999999999993, -0.06, -0.36, -0.06, 0.0, -0.09, 0.09, 0.0, -0.42, -0.15, 0.21, 0.27, 0.0, 0.0, -0.30000000000000004, 0.06, 0.24, 0.06, 0.0, -0.06, -0.30000000000000004, -0.03, 0.18, 0.0, -0.18, -0.06, -0.2400000000000001, -0.09, 0.12, 0.18, -0.3, -0.12, -0.38999999999999985, 0.03], "iou": 0.8576769388943488, "pen": 0.0}, "31,3": {"x": [0.36, 0.12, -0.66, -0.23999999999999996, -0.32999999999999985, 0.09, 0.24, 0.12, -0.42000000000000004, -0.48, -0.44999999999999996, 0.12, 0.18, -0.03, -0.41999999999999993, -0.06, -0.36, -0.21, 0.0, 0.15, 0.09, -0.24, -0.48, -0.41999999999999993, 0.21, 0.21000000000000002, 0.0, 0.06, -0.12000000000000005, -0.27, 0.12, -0.15, 0.0, -0.06, -0.15000000000000005, -0.09, 0.15, -0.24000000000000002, -0.18, -0.09, -0.21000000000000013, 0.0, 0.12, 0.15, -0.3, -0.15, -0.20999999999999985, 0.12], "iou": 0.8411399604091017, "pen": 0.0}, "31,4": {"x": [0.36, 0.12, -0.6000000000000001, 2.7755575615628914e-17, -0.5099999999999998, 0.0, 0.24, 0.06, -0.42000000000000004, -0.21, -0.5399999999999999, -0.09, 0.18, 0.0, -0.41999999999999993, -0.15, -0.44999999999999996, -0.27, 0.0, 0.15, 0.09, -0.18, -0.54, -0.5399999999999999, 0.21, 0.21000000000000002, 0.24, 0.0, -0.36000000000000004, -0.42000000000000004, 0.06, 0.15, 0.12, -0.06, -0.15000000000000002, -0.21, 0.15, -2.7755575615628914e-17, -0.18, -0.32999999999999996, -0.21000000000000013, -0.06, 0.12, -0.09, -0.3, -0.15, -0.44999999999999984, 0.0], "iou": 0.8315845747651848, "pen": 0.0}, "31,5": {"x": [0.6, 0.12, -0.9000000000000001, 2.7755575615628914e-17, -0.5099999999999998, 0.03, 0.24, 0.06, -0.48000000000000004, -0.15, -0.4799999999999999, -0.15, 0.18, 0.12, -0.41999999999999993, -0.39, -0.36, -0.33, 0.24, 0.39, 0.03, -0.24, -0.66, -0.8099999999999999, 0.21, 0.45, 0.3, -0.24, -0.18000000000000005, -0.30000000000000004, 0.06, 0.15000000000000002, 0.0, -0.24, -0.21000000000000002, -0.21, 0.03, -0.060000000000000026, -0.12, -0.36, -0.3600000000000001, -0.12, 0.12, -0.09, -0.3, -0.45, -0.44999999999999984, -0.15], "iou": 0.821900897112551, "pen": 0.0}, "31,6": {"x": [0.51, 0.09, -0.8400000000000001, -0.05999999999999997, -0.2699999999999998, -0.15, 0.24, 0.06, -0.48000000000000004, -0.03, -0.23999999999999994, -0.15, 0.18, 0.12, -0.41999999999999993, -0.27, -0.21, -0.39, 0.21, 0.36, -0.21, -0.27, -0.51, -0.6299999999999999, 0.21, 0.45, 0.3, -0.48, -0.36000000000000004, -0.54, 0.24, 0.21000000000000002, 0.0, -0.36, -0.45, -0.45, 0.06, -2.7755575615628914e-17, 0.12, -0.39, -0.3000000000000001, -0.30000000000000004, 0.12, -0.09, -0.3, -0.45, -0.20999999999999985, -0.27], "iou": 0.8329602259413946, "pen": 0.0}, "33,0": {"x": [0.06, 0.18, -0.3, 0.0, -0.21, -0.06, 0.0, 0.12, -0.18, -0.12, -0.27, 0.0, 0.0, 0.24, 0.0, -0.24, -0.42, -0.12, 0.0, 0.0, 0.0, 0.0, -0.24, -0.24, 0.0, 0.24, 0.0, 0.0, -0.24, -0.24, 0.0, 0.24, -0.24, 0.0, -0.03, -0.15, 0.0, 0.24, -0.44999999999999996, 0.0, 0.0, -0.03, 0.0, 0.06, -0.3, 0.24, -0.24, -0.06], "iou": 0.8661218750779469, "pen": 0.0}, "33,1": {"x": [0.06, 0.18, -0.3, 0.0, -0.15, -0.09, 0.0, 0.09, -0.18, -0.12, -0.27, -0.06, 0.0, 0.21, -0.06, -0.27, -0.39, -0.12, 0.0, 0.0, 0.0, -0.03, -0.12, -0.24000000000000002, 0.0, 0.24, 0.0, 0.0, -0.27, -0.24, 0.0, 0.24, -0.27, 0.0, 0.03, -0.21, 0.0, 0.24, -0.44999999999999996, 0.0, 0.0, -0.03, 0.0, 0.06, -0.3, 0.24, -0.12, -0.12], "iou": 0.8682369359861906, "pen": 0.0}, "33,2": {"x": [0.06, 0.12, -0.24, 0.0, -0.15000000000000002, -0.09, 0.0, 0.09, -0.18, -0.15, -0.27, -0.06, 0.0, 0.18, -0.09, -0.27, -0.36, -0.09, 0.0, 0.0, 0.0, -0.03, -0.18, -0.18000000000000002, 0.0, 0.24, -0.06, 0.06, -0.21000000000000002, -0.21, 0.0, 0.24, -0.30000000000000004, 0.03, 0.0, -0.21, 0.0, 0.24, -0.44999999999999996, 0.0, 0.0, -0.09, 0.0, 0.18, -0.3, 0.0, -0.18, -0.12], "iou": 0.8685477372053599, "pen": 0.0}, "33,3": {"x": [0.06, 0.12, -0.24, 0.0, -0.15000000000000002, -0.09, 0.0, 0.03, -0.18, -0.15000000000000002, -0.27, -0.09, 0.0, 0.18, -0.09, -0.27, -0.36, -0.09, 0.0, 0.0, 0.0, -0.03, -0.06, -0.060000000000000026, 0.0, 0.24, -0.06, 0.06, -0.21000000000000002, -0.21, 0.0, 0.24, -0.30000000000000004, 0.03, 0.0, -0.21, 0.0, 0.24, -0.44999999999999996, 0.0, 0.0, -0.09, -0.06, 0.18, -0.24, 0.0, -0.12, -0.06], "iou": 0.8709271761842194, "pen": 0.0}, "33,4": {"x": [0.06, 0.0, -0.24, -0.06, -0.24000000000000002, -0.12, 0.0, 0.03, -0.18, -0.15000000000000002, -0.21000000000000002, 0.03, 0.0, 0.18, -0.09, -0.27, -0.36, -0.03, 0.0, 0.0, 0.06, -0.03, -0.18, -0.18000000000000005, 0.0, 0.24, -0.06, 0.06, -2.7755575615628914e-17, -0.32999999999999996, 0.0, 0.24, -0.30000000000000004, 0.03, 0.03, -0.27, -0.03, 0.24, -0.36, -0.12, 0.0, -0.15, -0.06, 0.21, -0.3, -0.03, -0.12, -0.09], "iou": 0.8807091314274966, "pen": 0.0}, "32,0": {"x": [0.75, 1.3199999999999998, 0.51, 1.02, -0.03, 0.6299999999999999, 0.24, -0.06, -0.3, -0.48, -0.48, 0.06, 0.24, -0.06, -0.72, -0.18, 0.0, 0.0, 0.06, 0.0, -0.3, 0.0, 0.0, 0.18, 0.0, -0.06, -0.06, -0.18, -0.15, 0.41999999999999993, 0.21, -0.03, -0.24, -0.03, -0.24, 0.42000000000000004, 0.21, -0.15, -0.21, 0.0, -0.21, 0.32999999999999996, 0.24, 0.0, -0.06, 0.24, -0.3, 0.3599999999999998], "iou": 0.736510039281165, "pen": 0.0}, "32,1": {"x": [0.87, 0.8099999999999998, 0.63, 1.1700000000000002, 0.21, 0.5399999999999999, 0.32999999999999996, -0.12, -0.12, -0.48, -0.2399999999999999, -0.06, 0.21, -0.51, -0.72, -0.3, -0.24, 0.0, 0.06, 0.0, -0.27, -0.03, 0.0, 0.06, 0.0, -0.06, -0.12, -0.18, -0.36, 0.29999999999999993, 0.21, -0.09, -0.15, 0.09, -0.36, 0.030000000000000054, 0.18, -0.12, 0.0, 0.27, -0.32999999999999996, 0.17999999999999997, 0.36, 0.0, -0.06, 0.44999999999999996, -0.24, -0.09000000000000016], "iou": 0.7721691788837768, "pen": 0.0}, "32,2": {"x": [0.7499999999999999, -0.3900000000000001, -0.02999999999999997, 0.6300000000000001, -0.21000000000000002, 0.05999999999999994, 0.6, -0.36, -0.21, -0.42, -0.2099999999999999, -0.06, 0.15, -0.54, -0.6, -0.51, -0.3, -0.12, 0.06, 0.0, -0.21000000000000002, -0.27, 0.12, 0.0, 0.15, -0.15, -0.48, -0.12, -0.6599999999999999, 0.17999999999999994, 0.20999999999999996, -0.09, -0.03, -0.06, -0.32999999999999996, -0.08999999999999997, 0.15, -0.12, 0.0, 0.030000000000000027, -0.2399999999999999, 0.02999999999999997, 0.36, 0.0, 0.09, 0.8099999999999999, -0.09, 0.3299999999999998], "iou": 0.7797826824315776, "pen": 0.0}, "32,3": {"x": [0.8699999999999999, -0.3900000000000001, -0.5700000000000001, 0.4500000000000001, -0.21000000000000002, 0.05999999999999994, 0.6, -0.36, -0.51, -0.27, -0.2699999999999999, -0.09, 0.24000000000000002, -0.4800000000000001, -0.6, -0.42000000000000004, -0.42, -0.15, 0.18, -0.03, -0.6000000000000001, -0.27, -0.32999999999999996, -0.12, 0.15, -0.39, -0.6, -0.12, -0.5399999999999999, 0.23999999999999994, 0.20999999999999996, -0.09, -0.03, -0.03, -0.08999999999999997, 0.27, 0.15, -0.12, 0.0, 0.030000000000000027, -0.2399999999999999, 0.08999999999999997, 0.36, -0.12, -0.15, 0.69, -0.21, 0.4499999999999998], "iou": 0.7809864447517352, "pen": 0.0}, "32,4": {"x": [0.5699999999999998, -0.3900000000000001, -0.39, 0.3900000000000001, -0.39, 0.20999999999999994, 0.32999999999999996, -0.42, -0.41999999999999993, -0.15000000000000002, -0.2099999999999999, 0.06, 0.12000000000000002, -0.2400000000000001, -0.48, -0.27, -0.27, 0.03, 0.09, -0.06, -0.6300000000000001, -0.33, -0.26999999999999996, 0.18, 0.060000000000000026, -0.30000000000000004, -0.24, -0.18, -0.29999999999999993, 0.5099999999999999, 0.20999999999999996, -0.09, -0.21000000000000002, -0.03, 0.09000000000000002, 0.33, 0.15, -0.24, -0.24, 0.09000000000000002, 8.326672684688674e-17, 0.32999999999999996, 0.36, -0.09, -0.15, 0.44999999999999996, -0.21, 0.5099999999999998], "iou": 0.8468595173938362, "pen": 0.0}, "34,0": {"x": [-0.12, 0.12, -0.12, 0.18, -0.15, -0.24, 0.0, 0.0, -0.24, 0.0, -0.24, -0.3, 0.21, 0.24, -0.44999999999999996, 0.12, 0.15, -0.12, -0.03, 0.24, -0.12, 0.0, -0.15, -0.36, 0.12, 0.12, -0.06, -0.18, -0.12, -0.3, 0.0, 0.24, -0.03, -0.24, -0.18, -0.27, 0.0, 0.0, -0.24, -0.24, -0.18, -0.39, 0.0, 0.0, -0.24, 0.18, -0.24, -0.36], "iou": 0.8667382923909622, "pen": 0.0}, "34,1": {"x": [-0.12, 0.0, -0.12, 0.18, -0.12, -0.21, 0.0, 0.03, -0.24, 0.24, -0.24, -0.18, 0.21, 0.24, -0.44999999999999996, 0.12, 0.03, -0.09, -0.03, 0.21, 0.09, -0.12, -0.15, -0.42000000000000004, 0.12, 0.36, -0.06, -0.3, -0.06, -0.44999999999999996, 0.0, 0.24, -0.03, -0.24, -0.03, -0.36, 0.0, -0.12, -0.21, -0.09, -0.06, -0.30000000000000004, 0.0, 0.0, -0.24, 0.15, -0.24, -0.2399999999999999], "iou": 0.876851184607738, "pen": 0.0}, "34,2": {"x": [-0.09, -0.09, -0.12, 0.18, -0.18, -0.15, 0.0, -0.09, -0.24, 0.18, -0.24, -0.09, 0.21, 0.24, -0.44999999999999996, 0.12, -0.06, -0.09, -0.03, 0.21, 0.09, -0.12, -0.15, -0.36000000000000004, 0.12, 0.24, -0.06, -0.27, -0.06, -0.41999999999999993, 0.0, 0.27, 0.0, -0.27, -0.03, -0.30000000000000004, 0.0, -0.12, -0.21, -0.12, 0.0, -0.30000000000000004, 0.0, -0.03, -0.24, 0.03, -0.24, -0.2099999999999999], "iou": 0.8760297669037808, "pen": 0.0}, "34,3": {"x": [-0.09, -0.09, -0.12, 0.15, -0.3, -0.21000000000000002, 0.0, -0.09, -0.24, 0.18, -0.3, -0.15, 0.21, 0.24, -0.44999999999999996, 0.12, -0.06, -0.21, -0.03, 0.21, 0.09, -0.12, -0.15, -0.36000000000000004, 0.12, 0.24, -0.06, -0.030000000000000027, -0.06, -0.5399999999999999, 0.0, 0.27, 0.0, -0.27, 0.0, -0.30000000000000004, 0.0, -0.15, -0.21, -0.15, -0.03, -0.24000000000000002, 0.0, -0.06, -0.27, 0.0, -0.18, -0.2099999999999999], "iou": 0.8707972574435907, "pen": 0.0}, "34,4": {"x": [-0.09, -0.09, -0.12, 0.09, -0.42000000000000004, -0.21000000000000002, 0.0, -0.06, -0.21, 0.21, -0.32999999999999996, -0.18, 0.18, 0.27, -0.41999999999999993, 0.12, -0.09, 0.03, -0.03, 0.21, 0.03, 0.06, 0.0, -0.36000000000000004, 0.12, 0.24, -0.06, -2.7755575615628914e-17, -0.03, -0.5999999999999999, 0.0, 0.27, 0.0, -0.27, 0.0, -0.36000000000000004, 0.0, -0.15, -0.21, -0.21, -0.03, -0.24000000000000002, 0.0, -0.06, -0.33, -0.03, -0.18, -0.2699999999999999], "iou": 0.8762282727394846, "pen": 2.841426151618809e-05}, "25,0": {"x": [0.32300348550699853, 0.015381543304494372, -0.24, 0.0, -0.3, 0.24, 0.32079099585335213, -0.30877298415014326, -0.24, -0.21, -0.39, 0.12, 0.46157551403923924, -0.6605150684113384, -0.6, 0.12, -0.84, 0.12, 0.0, -0.3, -0.12, -0.12, -1.1400000000000001, 0.24, 0.09, 0.24, -0.12, 0.0, -0.48000000000000004, 0.18, 0.24, -0.06, 0.03, -0.36, -0.3, 0.03, 0.679236591923819, 0.9242530354891428, 0.0, 0.12, 0.09, 0.3, 0.9800168467229484, 0.2699993278834753, 0.36, -0.12, 0.36, 0.12], "iou": 0.6434175714463032, "pen": 0.15786473655263067, "hpen": 5.48186653032522}, "23,0": {"x": [0.9856564702563986, -0.4483601374304141, 0.27, -0.21, 0.48, -0.15, 0.33361042039347233, -0.42298601275822184, -0.57, 0.12, -0.06, -0.29999999999999993, 0.45892379257647603, -0.878119206550928, -0.03, 0.15, 0.39, -1.02, 0.0, 0.06, 0.03, 0.21, 0.21, 0.48, 0.27, 0.06, 0.12, 0.12, 0.0, 0.12, 0.0, 0.06, 0.0, 0.18, -0.27, -0.15, 0.8243603547309556, 0.8640006505368856, 0.03, 0.42, 0.0, 0.27, 0.9473144654747307, 0.2284976409549737, 0.18, 0.12, 0.15, 0.24000000000000002], "iou": 0.590981913618575, "pen": 0.051893391750302525, "hpen": 5.6425281738982385}, "23,1": {"x": [1.1656564702563985, -0.3283601374304141, 0.36, -0.15, 0.42, -0.15, 0.33361042039347233, -0.5429860127582218, -0.57, 0.24, -0.18, -0.29999999999999993, 0.5789237925764761, -0.878119206550928, -0.15, 0.15, 0.15000000000000002, -1.02, 0.0, 0.06, 0.09, 0.27, 0.2399999999999999, 0.3899999999999999, 0.21000000000000002, 0.03, 0.03, 0.09, 0.0, 0.09, 0.03, 0.06, -0.03, 0.15, -0.21000000000000002, -0.15, 0.7643603547309555, 0.8640006505368856, 0.18, 0.42, -0.09, 0.27, 0.9173144654747307, 0.2884976409549737, 0.3, 0.12, 0.18000000000000002, 0.12000000000000002], "iou": 0.5657175893118838, "pen": 0.03059189745862869, "hpen": 4.877007068248969}, "23,2": {"x": [1.0456564702563984, -0.35836013743041406, 0.36, -0.12, 0.42, -0.27, 0.4536104203934723, -0.5429860127582218, -0.69, 0.24, -0.18, -0.35999999999999993, 0.5789237925764761, -0.878119206550928, -0.15, 0.21, 0.24000000000000002, -1.02, 0.0, 0.06, 0.09, 0.33, 0.3599999999999999, 0.3899999999999999, 0.15000000000000002, 0.03, 0.03, 0.09, 0.0, 0.12, 0.03, 0.12, -0.03, 0.09, -0.33, 0.09, 0.6443603547309555, 0.8640006505368856, 0.18, 0.42, -0.09, 0.39, 0.9173144654747307, 0.3184976409549737, 0.3, 0.15, 0.12000000000000002, 0.12000000000000002], "iou": 0.5598000347573169, "pen": 0.047334932699708426, "hpen": 4.250374926105176}, "23,3": {"x": [1.0156564702563984, -0.35836013743041406, 0.39, -0.15, 0.39, -0.30000000000000004, 0.4236104203934723, -0.5429860127582218, -0.69, 0.36, -0.18, -0.41999999999999993, 0.5789237925764761, -0.878119206550928, -0.15, 0.32999999999999996, 0.36, -1.02, 0.0, 0.06, 0.09, 0.5700000000000001, 0.3899999999999999, 0.1499999999999999, 0.060000000000000026, 0.06, 0.03, 0.21, 0.03, 0.03, 0.09, 0.03, -0.03, 0.18, -0.33, -0.12, 0.6443603547309555, 0.8640006505368856, 0.15, 0.51, -0.03, 0.27, 0.9173144654747307, 0.28849764095497366, 0.3, 0.24000000000000002, 0.18000000000000002, 0.030000000000000027], "iou": 0.5718930769388411, "pen": 0.09949583622153764, "hpen": 5.18210431694083}, "23,4": {"x": [1.1656564702563983, -0.35836013743041406, 0.39, -0.15, 0.39, -0.24000000000000005, 0.3036104203934723, -0.5729860127582218, -0.5999999999999999, 0.32999999999999996, -0.12, -0.3899999999999999, 0.488923792576476, -0.848119206550928, -0.15, 0.32999999999999996, 0.39, -1.02, 0.03, 0.21, 0.21, 0.5700000000000001, 0.1499999999999999, 0.11999999999999991, 0.15000000000000002, 0.06, 0.15, 0.21, -0.03, 0.03, 0.09, 0.03, -0.03, 0.06, -0.33, 0.0, 0.7643603547309555, 0.8640006505368856, 0.15, 0.51, -0.03, 0.27, 0.9773144654747308, 0.34849764095497365, 0.3, 0.18000000000000002, 0.24000000000000005, 0.030000000000000027], "iou": 0.569912872473887, "pen": 0.07187949696249543, "hpen": 5.987118051859291}, "24,0": {"x": [0.578302439889038, -0.16036344067359481, -0.36, 0.0, -0.12, -0.24, 0.42367296692589707, -0.2611530998590707, -0.48, 0.0, -0.12, -0.48, 0.7257512368903482, -0.6125728822518315, -0.48, 0.0, 0.24, -0.96, 0.0, 0.24, 0.12, 0.24, 0.42, 0.24, 0.12, 0.09, -0.03, 0.06, 0.09, 0.06, 0.24, 0.0, -0.24, -0.06, -0.21, -0.03, 0.4051588890547875, 0.4279874624573714, -0.24, 0.0, -0.36, 0.0, 0.44829233185239303, 0.09948608008284615, -0.24, 0.0, -0.21, -0.12], "iou": 0.5915104880413585, "pen": 0.2018841114716656, "hpen": 6.823867400093908}, "24,1": {"x": [0.45830243988903796, -0.16036344067359481, -0.27, 0.0, -0.15, -0.24, 0.42367296692589707, -0.3511530998590707, -0.48, 0.09, -0.18, -0.44999999999999996, 0.6957512368903481, -0.5825728822518315, -0.48, 0.0, 0.36, -0.96, 0.0, 0.27, 0.15, 0.30000000000000004, 0.48, 0.27, 0.15, 0.12, -0.06, 0.12, 0.03, 0.06, 0.24, 0.06, -0.24, -0.06, -0.33, -0.03, 0.4051588890547875, 0.4279874624573714, -0.24, 0.0, -0.48, 0.0, 0.44829233185239303, 0.12948608008284615, -0.24, 0.0, -0.23999999999999996, -0.09], "iou": 0.6175227886557711, "pen": 0.19802271643488523, "hpen": 7.741296080731168}, "24,2": {"x": [0.42830243988903793, -0.13036344067359482, -0.33, 0.0, -0.18, -0.21, 0.42367296692589707, -0.3511530998590707, -0.48, 0.03, -0.27, -0.57, 0.6957512368903481, -0.5825728822518315, -0.48, 0.0, 0.36, -0.9299999999999999, 0.0, 0.21000000000000002, 0.15, 0.30000000000000004, 0.42, 0.27, 0.15, 0.09, -0.03, 0.12, 0.0, 0.09, 0.24, 0.12, -0.24, 0.0, -0.42000000000000004, 0.0, 0.4051588890547875, 0.4279874624573714, -0.24, 0.0, -0.42, 0.0, 0.44829233185239303, 0.09948608008284615, -0.21, 0.0, -0.20999999999999996, -0.09], "iou": 0.5758559729891259, "pen": 0.16915158400510136, "hpen": 5.188223874680928}, "24,3": {"x": [0.3983024398890379, -0.13036344067359482, -0.27, 0.0, -0.15, -0.18, 0.42367296692589707, -0.3511530998590707, -0.48, 0.03, -0.24000000000000002, -0.44999999999999996, 0.6957512368903481, -0.5825728822518315, -0.48, 0.0, 0.36, -0.9299999999999999, 0.0, 0.21000000000000002, 0.15, 0.30000000000000004, 0.36, 0.060000000000000026, 0.12, 0.09, -0.09, 0.03, -0.03, 0.03, 0.24, 0.36, -0.24, 0.0, -0.42000000000000004, 0.0, 0.4051588890547875, 0.4279874624573714, -0.24, 0.0, -0.32999999999999996, -0.03, 0.47829233185239306, 0.09948608008284615, -0.24, 0.0, -0.20999999999999996, -0.09], "iou": 0.6003856093454161, "pen": 0.2716033282857029, "hpen": 8.099547568648948}, "24,4": {"x": [0.4583024398890379, -0.19036344067359484, -0.24000000000000002, -0.06, -0.15, -0.15, 0.42367296692589707, -0.3511530998590707, -0.57, 0.03, -0.24000000000000002, -0.41999999999999993, 0.9057512368903481, -0.5525728822518314, -0.51, 0.0, 0.27, -0.9299999999999999, 0.0, 0.33, 0.15, 0.36000000000000004, 0.36, 2.7755575615628914e-17, 0.18, 0.18, -0.06, 0.03, -0.06, -0.03, 0.24, 0.36, -0.24, 0.0, -0.54, -0.12, 0.4051588890547875, 0.4279874624573714, -0.12, 0.03, -0.3899999999999999, 0.03, 0.5082923318523931, 0.15948608008284615, -0.12, 0.0, -0.17999999999999997, -0.06], "iou": 0.5706423808256105, "pen": 0.18322530044195373, "hpen": 8.233219061300135}, "26,0": {"x": [0.4908749325887424, -0.38600043142254653, -0.12, 0.12, -0.36, 0.06, 0.1752248445024407, -0.5764987867260041, -0.24, 0.09, -0.54, 0.15, 0.12641394446676474, -0.5123562491351301, -0.15, 0.21, -1.05, 0.51, 0.0, -0.03, -0.21, -0.36, -0.27, 0.39, 0.0, -0.03, -0.48, -0.03, -0.42, 0.18, 0.06, 0.0, -0.12, 0.18, -0.32999999999999996, 0.15, 0.2949731539622066, 0.07472018484920961, 0.0, -0.12, -0.57, 0.0, 0.61081994031154, -0.10981659159044291, -0.12, 0.24, -0.54, 0.18], "iou": 0.6704058261044559, "pen": 0.369038093795393, "hpen": 4.303861655863302}, "26,1": {"x": [0.4908749325887424, -0.26600043142254653, -0.18, 0.06, -0.36, 0.09, 0.4152248445024407, -0.5764987867260041, -0.42, -0.03, -0.48000000000000004, 0.18, 0.12641394446676474, -0.5123562491351301, -0.15, 0.21, -1.05, 0.42000000000000004, 0.12, -0.03, -0.26999999999999996, -0.36, -0.5700000000000001, 0.39, 0.0, -0.15, -0.48, -0.03, -0.44999999999999996, 0.18, 0.06, 0.0, -0.24, 0.18, -0.38999999999999996, 0.09, 0.2949731539622066, 0.07472018484920961, -0.03, -0.12, -0.69, 0.06, 0.61081994031154, -0.10981659159044291, -0.24, 0.21, -0.5700000000000001, 0.24], "iou": 0.6483260534341821, "pen": 0.4428697583047476, "hpen": 4.559633972250127}, "26,2": {"x": [0.4008749325887424, -0.3860004314225466, -0.18, 0.06, -0.36, 0.12, 0.1752248445024407, -0.5764987867260041, -0.3, 0.15, -0.48000000000000004, 0.12, 0.12641394446676474, -0.5123562491351301, -0.21, 0.15, -1.05, 0.30000000000000004, 0.12, -0.06, -0.39, -0.21, -0.6000000000000001, 0.39, 0.0, 0.12, -0.48, -0.06, -0.32999999999999996, 0.18, -0.06, 0.0, -0.21, 0.18, -0.32999999999999996, 0.09, 0.2949731539622066, -0.10527981515079038, -0.03, 0.06, -0.6, 0.09, 0.64081994031154, -0.1398165915904429, -0.18, 0.06, -0.6000000000000001, 0.24], "iou": 0.6649417273755669, "pen": 0.40423519439948385, "hpen": 5.9443161258599915}, "26,3": {"x": [0.3708749325887424, -0.44600043142254664, -0.15, 0.06, -0.36, 0.09, 0.1752248445024407, -0.3364987867260041, -0.3, 0.15, -0.5700000000000001, 0.12, 0.2764139444667647, -0.5123562491351301, -0.44999999999999996, 0.12, -0.9299999999999999, 0.24000000000000005, 0.12, -0.06, -0.33, -0.27, -0.6000000000000001, 0.42000000000000004, 0.0, 0.09, -0.48, -0.03, -0.41999999999999993, 0.18, 0.06, -0.03, -0.27, 0.18, -0.32999999999999996, 0.09, 0.2949731539622066, -0.16527981515079038, -0.03, 0.18, -0.54, 0.09, 0.61081994031154, -0.1398165915904429, -0.15, 0.18, -0.54, 0.18], "iou": 0.6280937002532536, "pen": 0.45558082013321277, "hpen": 5.866417865717679}, "26,4": {"x": [0.3708749325887424, -0.32600043142254664, -0.15, 0.0, -0.36, 0.09, 0.1752248445024407, -0.3364987867260041, -0.3, 0.06, -0.48, 0.06, 0.2764139444667647, -0.5123562491351301, -0.44999999999999996, 0.12, -0.8699999999999999, 0.42000000000000004, 0.12, -0.06, -0.33, -0.39, -0.6000000000000001, 0.42000000000000004, 0.0, 0.03, -0.44999999999999996, -0.03, -0.44999999999999996, 0.18, 0.18, -0.03, -0.15000000000000002, 0.18, -0.32999999999999996, 0.09, 0.2949731539622066, -0.04527981515079038, -0.03, 0.18, -0.6000000000000001, 0.03, 0.5508199403115399, -0.1998165915904429, -0.15, 0.18, -0.42000000000000004, 0.18], "iou": 0.6470685328362389, "pen": 0.254426804823339, "hpen": 5.165156118438757}, "27,0": {"x": [0.38559976372974536, -0.0801977357710735, -0.15, 0.09, -0.32999999999999996, 0.09, 0.26270254895508516, -0.26705890800794535, -0.18, 0.03, -0.44999999999999996, 0.06, 0.09540845589565813, -0.519531589077777, -0.06, 0.03, -1.02, 0.12, 0.0, -0.24, -0.06, -0.3, -1.08, 0.27, 0.0, -0.03, -0.29999999999999993, 0.12, -0.57, 0.24, 0.12, 0.06, -0.06, 0.09, -0.48, 0.15, 0.497434420248443, 0.32655445115955045, -0.18, 0.12, -0.78, 0.24, 0.3484249449976557, 0.1346369546399867, -0.24, 0.21, -0.57, 0.18], "iou": 0.6929773160232708, "pen": 0.2605359831956152, "hpen": 5.06073386704049}, "27,1": {"x": [0.32559976372974536, -0.0801977357710735, -0.21000000000000002, 0.03, -0.45, -0.03, 0.5027025489550851, -0.14705890800794535, -0.36, 0.03, -0.81, 0.09, 0.33540845589565815, -0.279531589077777, -0.18, -0.09, -0.96, 0.3, 0.0, -0.24, -0.12, -0.3, -0.54, 0.15000000000000002, 0.0, 0.12, -0.23999999999999994, 0.0, -0.45, 0.18, 0.12, -0.06, -0.06, 0.0, -0.48000000000000004, 0.12, 0.497434420248443, 0.32655445115955045, -0.18, 0.32999999999999996, -0.72, 0.27, 0.4384249449976557, 0.1046369546399867, -0.15, 0.15, -0.44999999999999996, 0.12], "iou": 0.706804970762132, "pen": 0.1691549300306024, "hpen": 5.480002166211147}, "27,2": {"x": [0.4455997637297454, -0.08019773577107348, -0.21000000000000002, -0.03, -0.51, -0.03, 0.5627025489550852, -0.08705890800794536, -0.36, 0.09, -1.11, 0.06, 0.33540845589565815, -0.279531589077777, -0.06, 0.03, -0.93, 0.36, -0.03, -0.21, -0.32999999999999996, -0.06, -0.54, 0.15000000000000002, 0.0, 0.0, -0.20999999999999994, 0.0, -0.36, 0.12, 0.24, 0.03, -0.27, 0.03, -0.5100000000000001, 0.12, 0.497434420248443, 0.32655445115955045, -0.21, 0.29999999999999993, -0.69, 0.27, 0.4384249449976557, 0.1046369546399867, -0.15, 0.09, -0.41999999999999993, 0.09], "iou": 0.6993057403035045, "pen": 0.33385400041457125, "hpen": 5.814825678114625}, "27,3": {"x": [0.4455997637297454, -0.14019773577107347, -0.27, -0.03, -0.51, 0.03, 0.5627025489550852, -0.08705890800794536, -0.36, 0.09, -1.1400000000000001, 0.09, 0.3054084558956581, -0.279531589077777, -0.03, 0.18, -0.96, 0.21, -0.06, -0.24, -0.29999999999999993, -0.03, -0.54, 0.12000000000000002, 0.0, 0.0, -0.20999999999999994, 0.0, -0.36, 0.12, 0.24, 0.03, -0.21000000000000002, 0.03, -0.4800000000000001, -0.03, 0.437434420248443, 0.14655445115955046, -0.32999999999999996, 0.29999999999999993, -0.69, 0.09000000000000002, 0.4384249449976557, 0.1046369546399867, -0.15, 0.12, -0.41999999999999993, 0.06], "iou": 0.7164623189238729, "pen": 0.33109632458793936, "hpen": 5.380467071195961}, "27,4": {"x": [0.4155997637297454, -0.14019773577107347, -0.15000000000000002, -0.09000000000000002, -0.54, 0.03, 0.5627025489550852, -0.08705890800794536, -0.42, 0.03, -1.02, -0.03, 0.3054084558956581, -0.279531589077777, -0.27, 0.27, -0.57, -0.03, -0.06, -0.09, -0.29999999999999993, -0.03, -0.54, -0.08999999999999997, 0.0, 0.12, -0.20999999999999994, 0.0, -0.36, 0.12, 0.12, 0.21, -0.27, 0.03, -0.3900000000000001, 0.03, 0.437434420248443, 0.14655445115955046, -0.32999999999999996, -0.030000000000000054, -0.69, 0.060000000000000026, 0.5884249449976557, 0.10463695463998668, -0.21000000000000002, 0.12, -0.4799999999999999, 0.12], "iou": 0.6975184679017865, "pen": 0.2898422967015609, "hpen": 5.222814608182046}, "29,0": {"x": [0.418343746086796, -0.17350875527434045, -0.18, 0.03, -0.36, 0.0, 0.3310432228051646, -0.35803664498180265, -0.3, -0.06, -0.69, -0.15, 0.4020383639551907, -0.5397090864031907, -0.24, 0.48, -1.2, -0.3, 0.0, 0.12, -0.3, 0.18, -0.57, -0.06, 0.06, 0.18, -0.18, 0.06, -0.3, 0.0, -0.06, 0.12, -0.24, 0.0, -0.36, 0.0, 0.2914818062124107, 0.2638470522098526, -0.36, -0.24, -0.48, 0.09, 0.59405178991807, 0.14931813115710266, -0.24, 0.12, -0.39, 0.18], "iou": 0.6763298243493935, "pen": 0.2810637899150301, "hpen": 7.951106124377221}, "29,1": {"x": [0.298343746086796, -0.05350875527434046, -0.09, 0.0, -0.39, 0.03, 0.3310432228051646, -0.23803664498180266, -0.3, 0.06, -0.8099999999999999, -0.03, 0.4020383639551907, -0.4197090864031907, -0.24, 0.48, -0.96, 0.06, -0.06, -0.18, -0.36, 0.15, -0.45, -0.06, 0.06, 0.18, -0.18, 0.06, -0.24000000000000002, 0.0, -0.03, 0.15, -0.24, -0.06, -0.24000000000000002, 0.03, 0.2914818062124107, 0.2638470522098526, -0.36, -0.24, -0.36, 0.09, 0.38405178991807, 0.14931813115710266, 0.03, 0.09, -0.36, 0.18], "iou": 0.6219222596028088, "pen": 0.3527622811248706, "hpen": 6.32116902725328}, "29,2": {"x": [0.44834374608679595, -0.20350875527434045, -0.15, 0.03, -0.44999999999999996, 0.03, 0.5710432228051646, -0.20803664498180266, -0.54, 0.21, -1.0499999999999998, -0.03, 0.3420383639551907, -0.4197090864031907, -0.21, 0.48, -0.8399999999999999, -0.06, -0.06, -0.12, -0.57, 0.06, -0.39, -0.09, 0.06, 0.21, -0.18, 0.03, -0.27, -0.03, -0.03, 0.15, 0.0, 0.06, -0.48, -0.03, 0.2914818062124107, 0.5038470522098526, -0.24, -0.12, -0.48, 0.09, 0.38405178991807, 0.17931813115710268, 0.0, 0.0, -0.32999999999999996, 0.06], "iou": 0.6590775398419436, "pen": 0.3288703873222999, "hpen": 5.001673008337561}, "29,3": {"x": [0.26834374608679595, -0.14350875527434045, -0.24, -0.09, -0.57, -0.12, 0.5710432228051646, -0.20803664498180266, -0.36000000000000004, 0.15, -1.2899999999999998, -0.03, 0.3420383639551907, -0.4197090864031907, -0.21, 0.36, -0.8999999999999999, -0.06, -0.06, 0.0, -0.57, -0.12, -0.45, -0.03, 0.0, 0.21, -0.24, 0.0, -0.29999999999999993, -0.03, -0.03, 0.15, 0.0, 0.06, -0.48, -0.09, 0.2914818062124107, 0.5038470522098526, -0.24, 0.0, -0.42, 0.0, 0.26405178991807, 0.17931813115710268, 0.06, -0.03, -0.32999999999999996, 0.0], "iou": 0.6756883613447201, "pen": 0.5205667152176866, "hpen": 4.575754377528094}, "29,4": {"x": [0.26834374608679595, -0.14350875527434045, -0.24, -0.15, -0.69, -0.12, 0.5710432228051646, -0.20803664498180266, -0.36000000000000004, 0.27, -1.4099999999999997, 0.09, 0.3420383639551907, -0.4197090864031907, -0.42000000000000004, 0.57, -0.72, -0.15, -0.06, -0.06, -0.51, 0.06, -0.54, -0.06, 0.06, 0.21, -0.18, 0.06, -0.3899999999999999, -0.06, -0.03, 0.39, 0.0, 0.06, -0.63, -0.21, 0.2914818062124107, 0.5038470522098526, -0.12, 0.24, -0.42, 0.0, 0.38405178991807, 0.17931813115710268, -0.06, 0.03, -0.36, -0.03], "iou": 0.6706561072996395, "pen": 0.4549939187791797, "hpen": 5.300353110272024}, "28,0": {"x": [0.4046051923072148, 0.2241261439275864, -0.24, 0.72, 0.06, 0.72, 0.7758525798421849, -0.2052181639811132, 0.27, 0.44999999999999996, 0.27, 0.0, 0.7126001039554024, -0.8792742443443209, 0.0, 0.24, 0.48, -0.21, 0.0, 0.0, 0.0, 0.72, -0.15, 0.03, 0.12, -0.03, -0.09, 0.32999999999999996, -0.06, 0.03, 0.12, -0.12, -0.24, 0.24, -0.03, 0.06, 0.4561015463545901, 0.8010766514505036, 0.0, 0.48, -0.03, 0.36, 0.7073397838279154, 0.08795522019636565, 0.3, 0.24, 0.48, 0.42], "iou": 0.5163012938390534, "pen": 0.28059021555590685, "hpen": 5.369583401737987}, "28,1": {"x": [0.2546051923072148, 0.1641261439275864, 0.0, 0.72, 0.06, 0.72, 0.6558525798421848, -0.2052181639811132, 0.33, 0.38999999999999996, 0.39, 0.0, 0.6526001039554024, -0.8792742443443209, 0.0, 0.24, 0.48, -0.29999999999999993, 0.0, 0.0, 0.0, 0.72, -0.12, 0.06, 0.24, -0.03, -0.09, 0.26999999999999996, -0.12, -0.03, 0.36, -0.12, -0.24, 0.0, -0.27, -0.18, 0.63610154635459, 0.8010766514505036, 0.06, 0.3, 0.09, 0.36, 0.7073397838279154, 0.02795522019636565, 0.32999999999999996, 0.15, 0.51, 0.3], "iou": 0.553171102320013, "pen": 0.08688498498540424, "hpen": 3.5510046070747396}, "28,2": {"x": [0.3146051923072148, 0.1341261439275864, 0.06, 0.72, 0.24, 0.72, 0.6258525798421848, -0.2052181639811132, 0.27, 0.32999999999999996, 0.39, 0.06, 0.5926001039554023, -0.8192742443443208, 0.0, 0.27, 0.44999999999999996, -0.41999999999999993, -0.03, 0.18, 0.12, 0.63, -0.12, 0.12, 0.18, 0.0, -0.03, 0.20999999999999996, -0.09, 0.0, 0.36, -0.12, -0.12, -0.09, -0.15000000000000002, -0.06, 0.51610154635459, 0.8010766514505036, -0.06, 0.3, 0.09, 0.36, 0.7073397838279154, -0.00204477980363435, 0.26999999999999996, 0.27, 0.51, 0.36], "iou": 0.5493715178999996, "pen": 0.11627426074958246, "hpen": 5.06651703826907}, "28,3": {"x": [0.2546051923072148, 0.1341261439275864, -0.06, 0.72, 0.24, 0.72, 0.6258525798421848, -0.2052181639811132, 0.18000000000000002, 0.44999999999999996, 0.39, 0.06, 0.5926001039554023, -0.8192742443443208, 0.0, 0.27, 0.32999999999999996, -0.41999999999999993, -0.03, 0.18, 0.12, 0.63, -0.12, 0.12, 0.18, 0.0, 0.0, 0.17999999999999997, -0.09, 0.0, 0.36, -0.12, -0.12, -0.09, -0.09000000000000002, -0.09, 0.51610154635459, 0.7410766514505036, 0.0, 0.54, 0.03, 0.27, 0.7073397838279154, -0.00204477980363435, 0.26999999999999996, 0.27, 0.5700000000000001, 0.36], "iou": 0.5391179630695375, "pen": 0.11908963407283249, "hpen": 4.1834476126708955}, "28,4": {"x": [0.2546051923072148, 0.1341261439275864, 0.0, 0.72, 0.12, 0.72, 0.5658525798421847, -0.2052181639811132, 0.18000000000000002, 0.38999999999999996, 0.45, 0.06, 0.5926001039554023, -0.7592742443443208, -0.12, 0.21000000000000002, 0.48, -0.41999999999999993, -0.03, 0.12, 0.12, 0.69, -0.12, 0.09, 0.12, 0.03, 0.0, 0.17999999999999997, -0.09, 0.0, 0.24, 0.06, -0.12, -0.09, -0.18000000000000002, -0.06, 0.51610154635459, 0.7110766514505036, -0.03, 0.54, 0.03, 0.42000000000000004, 0.7073397838279154, -0.00204477980363435, 0.26999999999999996, 0.39, 0.54, 0.48], "iou": 0.5573286535992021, "pen": 0.11341491861589514, "hpen": 3.9353528125569617}, "28,5": {"x": [0.3746051923072148, 0.1341261439275864, -0.12, 0.72, 0.0, 0.84, 0.5658525798421847, -0.2052181639811132, 0.18000000000000002, 0.38999999999999996, 0.42000000000000004, 0.09, 0.5926001039554023, -0.7592742443443208, -0.09, 0.21000000000000002, 0.44999999999999996, -0.41999999999999993, -0.03, 0.12, 0.09, 0.72, -0.06, 0.21, 0.18, 0.06, 0.0, 0.17999999999999997, -0.12, 0.06, 0.24, 0.06, -0.12, -0.15, -0.36000000000000004, 0.03, 0.48610154635459, 0.6210766514505035, -0.03, 0.5700000000000001, -0.15, 0.51, 0.5873397838279154, -0.12204477980363435, 0.26999999999999996, 0.51, 0.54, 0.6], "iou": 0.5787668346342267, "pen": 0.10105978465494625, "hpen": 2.5651669948743456}, "28,6": {"x": [0.3146051923072148, 0.1341261439275864, -0.06, 0.78, 0.06, 0.84, 0.5958525798421848, -0.2052181639811132, 0.21000000000000005, 0.44999999999999996, 0.54, 0.09, 0.5926001039554023, -0.7592742443443208, 0.03, 0.21000000000000002, 0.44999999999999996, -0.5399999999999999, -0.03, 0.15, 0.09, 0.69, -0.06, 0.06, 0.27, 0.0, -0.03, 0.20999999999999996, -0.12, 0.03, 0.24, -0.06, -0.18, -0.03, -0.27, 0.03, 0.42610154635459, 0.5610766514505034, -0.09, 0.51, -0.03, 0.48, 0.5873397838279154, -0.12204477980363435, 0.20999999999999996, 0.51, 0.54, 0.72], "iou": 0.5501297977558383, "pen": 0.23783842095425986, "hpen": 4.913990814956335}} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/cloth_468all.json b/third_party/UO_Model3D_v13/pipeline/body13/cloth_468all.json new file mode 100644 index 0000000..154b9c7 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/cloth_468all.json @@ -0,0 +1 @@ +{"0,0": {"x": [-0.69, 0.12, 0.12, 0.12, -0.09, 0.12, -0.27, -0.15, 0.0, 0.0, 0.0, 0.0, -0.06, -0.06, -0.21, -0.3, 0.0, -0.24, -0.24, -0.12, 0.0, 0.09, 0.03, -0.15, 0.0, 0.12, 0.0, -0.27, 0.06, -0.24, 0.06, -0.15, 0.0, -0.24, 0.0, -0.24, -0.24, 0.24, -0.15, 0.12, -0.24, -0.24, -0.24, -0.21, -0.27, 0.48, -0.24, 0.48, -0.48, -0.21, 0.0, -0.06, -0.24, 0.30000000000000004, 0.0, 0.3], "iou": 0.6785885664746304, "pen": 0.0}, "0,1": {"x": [-0.69, 0.44999999999999996, -0.12, -0.12, 0.03, 0.03, -0.12000000000000002, -0.03, 0.0, 0.24, 0.0, 0.0, -0.06, -0.3, -0.32999999999999996, -0.18, 0.0, 0.03, -0.24, -0.36, 0.0, 0.20999999999999996, 0.03, -0.06, 0.24, 0.12, -0.24, -0.24000000000000002, 0.06, 0.21, -0.06, -0.21000000000000002, 0.03, -0.32999999999999996, 0.0, -0.12, -0.15, 0.27, -0.09, 0.09, 0.0, -0.51, -0.41999999999999993, -0.03, -0.15000000000000002, 0.32999999999999996, -0.09, 0.39, -0.48, -0.41999999999999993, -0.21, -0.03, 0.0, 0.30000000000000004, -0.06, 0.36], "iou": 0.6706292668964382, "pen": 0.0}, "0,2": {"x": [-0.9299999999999999, 0.32999999999999996, 0.12, 0.0, -0.02999999999999997, -0.09, 0.02999999999999997, -2.7755575615628914e-17, -0.24, 0.24, 0.24, -0.12, -0.3, -0.42000000000000004, -0.08999999999999997, 0.06, -0.24, 0.27, -0.18, -0.24, 0.03, -0.27, 0.0, -0.18, 0.0, 0.12, -0.24, -0.030000000000000027, -0.18, 0.15, 0.09, -0.18000000000000002, -0.21, -0.32999999999999996, -0.24, -0.12, -0.39, 0.30000000000000004, -0.12, 0.03, -0.36, -0.51, -0.17999999999999994, -0.03, -0.030000000000000027, 0.32999999999999996, -0.09, 0.030000000000000027, -0.48, -0.41999999999999993, -0.12, -0.06, 0.06, 0.36000000000000004, 0.0, 0.12], "iou": 0.667376872113327, "pen": 0.0}, "0,3": {"x": [-1.0499999999999998, 0.51, 0.18, -0.18, -0.08999999999999997, -0.26999999999999996, 0.02999999999999997, -0.12000000000000002, -0.24, 0.24, 0.24, -0.12, -0.3, -0.18000000000000005, -0.14999999999999997, -0.24, -0.24, 0.27, -0.18, -0.24, 0.03, -0.33, 0.0, -0.18, -0.06, 0.0, -0.06, -0.030000000000000027, -0.18, 0.09000000000000002, 0.15, -0.15000000000000002, -0.21, -0.32999999999999996, -0.24, -0.12, -0.39, 0.30000000000000004, 0.03, 0.12, -0.3, -0.51, -0.17999999999999994, -0.03, -0.060000000000000026, 0.29999999999999993, 0.06, 0.060000000000000026, -0.48, -0.41999999999999993, 0.12, -0.06, -0.06, 0.30000000000000004, 0.0, 0.27], "iou": 0.726378692165583, "pen": 0.0}, "0,4": {"x": [-1.0799999999999998, 0.39, 0.30000000000000004, -0.06, -0.17999999999999997, -0.02999999999999997, -0.09000000000000002, -0.12000000000000002, -0.24, 0.24, 0.24, -0.12, -0.3, -0.21000000000000005, -0.26999999999999996, -0.15, -0.24, 0.27, -0.18, -0.24, 0.03, -0.33, 0.0, -0.12, -0.06, 0.0, 0.06, -0.09000000000000002, -0.18, 0.09000000000000002, 0.21, -0.030000000000000027, 0.03, -0.32999999999999996, 0.0, -0.12, -0.33, 0.45000000000000007, 0.03, 0.09, -0.24, -0.39, -0.05999999999999994, 0.09, -0.30000000000000004, 0.35999999999999993, -0.06, 0.060000000000000026, -0.48, -0.41999999999999993, 0.36, -0.06, -0.3, 0.24000000000000005, 0.06, 0.27], "iou": 0.750080991673102, "pen": 0.0}, "0,5": {"x": [-0.8999999999999999, 0.39, 0.24000000000000005, -0.12, -0.23999999999999996, -0.02999999999999997, -0.18000000000000002, -0.030000000000000027, 0.0, 0.48, -0.06, -0.36, -0.24, -0.15000000000000005, -0.08999999999999997, 0.05999999999999997, 0.0, 0.030000000000000027, -0.39, -0.24, 0.15, -0.060000000000000026, 0.0, 0.24, -0.03, 0.03, 0.06, -0.09000000000000002, -0.06, -0.02999999999999997, 0.21, 0.02999999999999997, 0.27, -0.20999999999999996, -0.24, -0.12, -0.09000000000000002, 0.15000000000000008, -0.03, 0.03, -0.15, -0.39, -0.029999999999999943, 0.09, -0.27, 0.14999999999999994, 0.09, 0.060000000000000026, -0.48, -0.41999999999999993, 0.36, -0.06, -0.51, -0.05999999999999994, 0.15, 0.21000000000000002], "iou": 0.7382880121443662, "pen": 0.0}, "0,6": {"x": [-0.8699999999999999, 0.39, 0.21000000000000005, -0.21, -0.20999999999999996, -0.02999999999999997, -0.21000000000000002, 0.08999999999999997, 0.0, 0.48, -0.06, -0.6, -0.24, -5.551115123125783e-17, -0.26999999999999996, -0.030000000000000027, 0.0, 0.030000000000000027, -0.39, -0.24, 0.12, -0.030000000000000027, -0.09, 0.03, -0.03, -0.06, -0.18, -0.21000000000000002, 0.15, 0.09000000000000002, 0.15, 0.11999999999999997, 0.030000000000000027, 0.030000000000000027, -0.12, -0.12, -0.09000000000000002, 0.12000000000000008, 0.12, 0.06, -0.15, -0.51, -0.11999999999999994, 0.09, -0.36, 0.14999999999999994, -0.03, 0.15000000000000002, -0.48, -0.41999999999999993, 0.24, -0.06, -0.39, -0.05999999999999994, 0.06, 0.27], "iou": 0.7413693630831524, "pen": 0.0}, "0,7": {"x": [-0.8699999999999999, 0.39, 0.09000000000000005, -0.21, -0.14999999999999997, -0.26999999999999996, -2.7755575615628914e-17, 0.08999999999999997, -0.06, 0.48, -0.06, -0.6, -0.44999999999999996, -5.551115123125783e-17, -0.02999999999999997, -0.060000000000000026, 0.0, 0.51, -0.39, -0.24, -0.3, 0.20999999999999996, 0.0, -0.12, -0.15000000000000002, 0.09, -0.15, -0.27, 0.0, 0.060000000000000026, 0.09, 0.05999999999999997, -0.20999999999999996, 0.030000000000000027, -0.12, -0.09, -0.12000000000000002, 0.09000000000000008, -0.09, 0.15, -0.15, -0.51, -0.14999999999999994, 0.09, -0.54, 0.14999999999999994, -0.03, 0.24000000000000002, -0.48, -0.41999999999999993, 0.24, 0.18, -0.39, -0.29999999999999993, 0.03, 0.27], "iou": 0.7045705620602549, "pen": 0.0}, "0,8": {"x": [-0.6299999999999999, 0.54, 0.15000000000000005, -0.18, 0.030000000000000027, -0.20999999999999996, -2.7755575615628914e-17, 0.17999999999999997, -0.06, 0.44999999999999996, -0.09, -0.6, -0.44999999999999996, -5.551115123125783e-17, 0.12000000000000002, 0.14999999999999997, 0.0, 0.51, -0.42000000000000004, -0.24, -0.3, 0.20999999999999996, 0.06, -0.12, 0.08999999999999997, 0.09, -0.15, -0.27, 0.0, 0.18000000000000002, -0.03, 0.05999999999999997, 0.030000000000000027, -0.08999999999999997, -0.24, -0.09, -0.24000000000000002, 0.09000000000000008, -0.03, 0.15, -0.15, -0.51, 0.09000000000000005, 0.21, -0.51, 0.08999999999999994, -0.06, 0.24000000000000002, -0.48, -0.29999999999999993, 0.06, 0.18, -0.39, -0.11999999999999994, -0.09, 0.27], "iou": 0.7007224817182516, "pen": 0.0}, "0,9": {"x": [-0.3899999999999999, 0.54, 0.15000000000000005, -0.18, -0.08999999999999997, -0.44999999999999996, -2.7755575615628914e-17, 0.29999999999999993, 0.18, 0.44999999999999996, -0.09, -0.36, -0.69, -5.551115123125783e-17, -0.11999999999999997, -2.7755575615628914e-17, 0.06, 0.51, -0.42000000000000004, -0.24, -0.44999999999999996, 0.20999999999999996, 0.09, -0.3, 0.17999999999999997, 0.15, -0.27, -0.21000000000000002, -0.24, 0.060000000000000026, 0.06, -2.7755575615628914e-17, 0.030000000000000027, -0.32999999999999996, -0.36, -0.09, -0.36, -0.029999999999999916, 0.09, 0.0, -0.15, -0.51, 0.09000000000000005, 0.21, -0.51, -0.15000000000000005, -0.09, -0.02999999999999997, -0.54, -0.29999999999999993, -0.03, -0.03, -0.42000000000000004, -0.11999999999999994, -0.09, 0.12000000000000002], "iou": 0.6782918687294673, "pen": 0.0}, "1,0": {"x": [-0.6, 0.72, -0.24, 0.0, 0.09, -0.12, -0.03, -0.12, -0.24, 0.24, 0.24, 0.0, -0.24, -0.24, -0.18, 0.06, -0.24, 0.24, 0.0, -0.12, 0.0, 0.0, 0.24, -0.06, 0.27, 0.24, -0.03, -0.24, -0.27, 0.03, 0.09, -0.24, 0.0, 0.24, -0.24, -0.24, 0.0, 0.24, -0.18, -0.12, -0.24, -0.36, 0.0, 0.0, 0.12, 0.12, -0.3, -0.18, -0.24, -0.48, -0.24, 0.0, 0.0, 0.0, -0.24, -0.24], "iou": 0.70780215258334, "pen": 0.0}, "1,1": {"x": [-0.6, 0.48, 0.0, 0.0, 0.09, -0.32999999999999996, 0.03, -0.12, -0.24, 0.24, 0.24, 0.0, -0.18, -0.12, -0.12, -0.18, -0.24, 0.24, 0.0, -0.36, -0.03, 0.0, 0.12, -0.3, 0.27, 0.24, -0.09, -0.12, -0.27, -0.03, 0.09, -0.42, 0.0, 0.0, -0.24, 0.0, 0.0, 0.24, -0.12, -0.3, -0.24, -0.36, -0.24, 0.0, 0.0, 0.24, -0.06, -0.18, -0.36, -0.36, -0.12, 0.0, -0.12, 0.0, 0.0, -0.18], "iou": 0.7012684313680858, "pen": 0.0}, "1,2": {"x": [-0.8999999999999999, 0.48, 0.0, 0.0, 0.12, -0.32999999999999996, 0.27, -0.36, -0.24, 0.24, 0.24, 0.0, -0.42, -0.36, -0.06, -0.27, -0.3, 0.32999999999999996, 0.0, -0.21, -0.03, -0.09, 0.06, -0.32999999999999996, 0.27, 0.24, -0.32999999999999996, 0.06, -0.030000000000000027, -0.15000000000000002, -0.21, -0.48, 0.06, 0.0, -0.3, -0.06, 0.0, 0.18, -0.06, -0.36, -0.24, -0.24, -0.24, 0.0, -0.03, 0.24, -0.03, -0.24, -0.42, -0.36, -0.06, 0.03, -0.06, 0.12, 0.03, -0.18], "iou": 0.682499588058959, "pen": 0.0}, "1,3": {"x": [-0.6599999999999999, 0.48, 0.0, 0.0, 0.15, -0.08999999999999997, 0.030000000000000027, -0.42000000000000004, -0.24, 0.24, 0.24, 0.03, -0.42, -0.18, 0.06, -0.33, -0.3, 0.32999999999999996, 0.0, -0.21, 0.03, -0.20999999999999996, 0.03, -0.44999999999999996, 0.27, 0.48, -0.29999999999999993, -0.21, -0.060000000000000026, -0.12000000000000002, -0.06, -0.42, 0.18, 0.0, -0.3, -0.06, -0.06, 0.09, -0.06, -0.3, 0.0, -0.24, -0.24, 0.0, -0.03, 0.24, -0.15, -0.3, -0.42, -0.48, -0.06, 0.03, -0.06, 0.24, 0.03, -0.18], "iou": 0.6998288874069523, "pen": 0.0}, "1,4": {"x": [-0.8999999999999999, 0.72, 0.0, 0.0, -0.09, -0.32999999999999996, 2.7755575615628914e-17, -0.24000000000000005, -0.24, 0.24, 0.24, 0.03, -0.42, -0.24, 0.0, -0.21000000000000002, -0.3, 0.32999999999999996, 0.0, -0.21, 0.03, -0.26999999999999996, 0.03, -0.17999999999999997, 0.27, 0.24, -0.29999999999999993, -0.09, 0.05999999999999997, -0.15000000000000002, -0.03, -0.3, 0.18, 0.12, -0.3, 0.06, -0.06, 0.21, -0.03, -0.42, 0.0, -0.24, -0.12, -0.12, -0.03, 0.24, -0.03, -0.18, -0.42, -0.54, 0.18, 0.03, -0.09, 0.3, -0.09, -0.06], "iou": 0.7493612463470727, "pen": 0.0}, "1,5": {"x": [-0.6599999999999999, 0.6, 0.0, -0.06, 0.030000000000000027, -0.20999999999999996, 0.060000000000000026, -0.21000000000000005, -0.24, 0.24, 0.0, -0.21, -0.42, -0.03, 0.0, -0.24000000000000002, -0.3, 0.32999999999999996, 0.0, -0.09, -0.03, -0.11999999999999997, 0.06, -0.23999999999999996, 0.27, 0.24, -0.35999999999999993, 0.15, 0.05999999999999997, -0.15000000000000002, -0.15000000000000002, -0.30000000000000004, 0.18, 0.12, -0.24, 0.06, 0.06, 0.12, -0.15000000000000002, -0.3, -0.03, -0.24, -0.09, 0.12, -0.03, 0.24, -0.15000000000000002, -0.12, -0.42, -0.54, 0.18, 0.03, -0.09, 0.3, -0.32999999999999996, 0.0], "iou": 0.7520049439837131, "pen": 0.0}, "1,6": {"x": [-0.6599999999999999, 0.6, 0.0, -0.06, 0.030000000000000027, -0.20999999999999996, 0.12000000000000002, -0.15000000000000005, -0.24, 0.24, 0.0, -0.21, -0.42, 0.21, 0.12, -0.21000000000000002, -0.3, 0.20999999999999996, 0.0, -0.09, -0.03, 0.12000000000000002, 0.12, -0.23999999999999996, 0.27, 0.24, -0.35999999999999993, 0.21000000000000002, 0.05999999999999997, -0.030000000000000027, -0.15000000000000002, -0.27, 0.18, 0.12, -0.24, 0.06, 0.06, 0.12, -0.15000000000000002, -0.3, -0.03, -0.42, -0.09, 0.06, -0.03, 0.3, -0.21000000000000002, -0.12, -0.42, -0.66, 0.18, 0.03, -0.09, 0.3, -0.20999999999999996, -0.12], "iou": 0.7558740539800455, "pen": 0.0}, "1,7": {"x": [-0.6599999999999999, 0.36, 0.24, -0.06, -0.20999999999999996, -0.20999999999999996, 0.09, 0.08999999999999994, -0.24, 0.24, 0.0, -0.21, -0.42, -0.03, 0.12, 0.02999999999999997, -0.3, 0.32999999999999996, 0.0, -0.15, -0.09, 0.060000000000000026, -0.03, -0.14999999999999997, 0.030000000000000027, 0.24, -0.17999999999999994, 0.030000000000000027, -0.060000000000000026, 0.08999999999999997, -0.09000000000000002, -0.24000000000000002, 0.18, 0.12, -0.18, 0.06, -0.12, 0.06, -0.15000000000000002, -0.24, -0.18000000000000002, -0.39, 0.09, 0.03, -0.03, 0.36, -0.15000000000000002, 0.0, -0.6599999999999999, -0.66, 0.18, 0.03, -0.09, 0.3, -0.23999999999999996, 0.12], "iou": 0.7006432277884447, "pen": 0.0}, "1,8": {"x": [-0.6599999999999999, 0.36, 0.24, -0.09, 0.030000000000000027, -0.17999999999999997, -0.15, -0.030000000000000027, -0.24, 0.24, 0.0, -0.21, -0.42, -0.03, 0.0, -0.09000000000000002, -0.3, 0.44999999999999996, 0.0, -0.15, -0.09, 0.060000000000000026, -0.03, -0.02999999999999997, 0.030000000000000027, 0.27, -0.17999999999999994, -0.02999999999999997, -0.060000000000000026, 0.08999999999999997, -0.09000000000000002, -0.24000000000000002, -0.06, 0.12, -0.18, 0.06, 0.0, 0.32999999999999996, -0.24000000000000002, -0.24, -0.18000000000000002, -0.39, -0.15, 0.03, -0.06, 0.36, -0.15000000000000002, -0.06, -0.5399999999999999, -0.66, 0.12, 0.03, -0.09, 0.54, -0.2699999999999999, 0.03], "iou": 0.710625266048979, "pen": 0.0}, "1,9": {"x": [-0.8099999999999999, 0.36, 0.0, 0.18000000000000002, -0.14999999999999997, -0.14999999999999994, -0.15000000000000002, 0.02999999999999997, -0.06, 0.18, 0.0, -0.15, -0.18, 0.03, -0.21, 0.14999999999999997, -0.3, 0.44999999999999996, 0.0, -0.15, -0.09, 2.7755575615628914e-17, -0.03, -0.26999999999999996, 0.030000000000000027, 0.27, 0.06000000000000005, -0.02999999999999997, -0.18000000000000002, 0.20999999999999996, -0.21000000000000002, -0.36, -0.06, -0.12, -0.15, 0.3, 0.0, 0.08999999999999997, -0.030000000000000027, -0.09, 0.05999999999999997, -0.51, -0.39, -0.03, -0.12, 0.24, -0.09000000000000002, -0.12, -0.5399999999999999, -0.42000000000000004, -0.12, -0.21, 0.03, 0.54, -0.1499999999999999, 0.12], "iou": 0.709841638969145, "pen": 0.0}, "2,0": {"x": [-0.36, 1.2900000000000003, -0.24, 0.18, 0.24, -0.03, -0.12, 0.24, -0.15, 0.75, -0.18, 0.24, 0.21, 0.15, -0.06, 0.21, 0.6, 0.24, 0.06, 0.12, 0.12, 0.09, 0.0, 0.0, 0.72, -0.24, 0.0, 0.0, 0.0, 0.24, -0.21, -0.03, 0.96, -0.9299999999999999, -0.24, -0.27, 0.0, 0.03, -0.24, 0.21000000000000002, 0.0, -0.96, -0.12, -0.36, -0.24, 0.0, -0.12, 0.18, 0.3, -1.44, -0.72, 0.12, -0.24, 0.12, -0.06, 0.36], "iou": 0.7164543395259783, "pen": 0.0}, "2,1": {"x": [-0.6, 1.2900000000000003, -0.24, 0.24, 0.48, -0.27, -0.24, -0.12, -0.21, 0.81, -0.12, 0.18, 0.21, 0.15, -0.09, 0.12, 0.6, 0.36, 0.06, 0.12, -0.12, 0.15, 0.0, 0.0, 0.72, -0.24, 0.0, 0.0, 0.0, 0.12, -0.15, -0.09, 0.48, -0.69, 0.0, -0.27, -0.24, 0.03, -0.24, -0.02999999999999997, 0.24, -0.96, -0.12, -0.32999999999999996, -0.21, 0.24, -0.06, 0.3, 0.3, -1.44, -0.96, 0.12, 0.0, 0.32999999999999996, -0.06, 0.36], "iou": 0.772721779898118, "pen": 0.0}, "2,2": {"x": [-0.72, 1.3500000000000003, -1.2, 0.03, 0.24, -0.36, 0.03, -0.12, -0.26999999999999996, 1.05, -0.36, 0.18, 0.21, -0.06, -0.21, 0.24, 0.72, 0.42, 0.06, 0.3, -0.03, 0.03, -0.12, 0.09, 0.96, 0.0, -0.03, 0.0, 0.0, 0.09, -0.12, 0.0, 0.51, -0.44999999999999996, 0.0, -0.27, 0.09, -0.09, 0.03, -0.02999999999999997, 0.48, -0.96, -0.36, -0.32999999999999996, -0.44999999999999996, 0.12, -0.18, 0.18, 0.15, -1.89, -0.96, 0.03, -0.12, 0.29999999999999993, -0.06, 0.42], "iou": 0.7481498337857742, "pen": 0.0}, "2,3": {"x": [-0.72, 1.3500000000000003, -1.14, 0.03, 0.24, -0.36, -0.27, -0.48, -0.26999999999999996, 1.05, -0.36, 0.18, 0.21, -0.06, -0.44999999999999996, 0.12, 0.36, 0.48000000000000004, 0.0, 0.24000000000000005, 0.21, -0.02999999999999997, -0.15, 0.08999999999999997, 0.48, 0.0, 0.0, 0.0, 0.0, -0.15, 0.12, -0.06, 0.27, -0.44999999999999996, 0.0, -0.27, -0.03, -0.15, 0.27, 0.21000000000000002, 0.96, -0.72, -0.12, -0.32999999999999996, -0.51, 0.06, 0.0, 0.24, 0.63, -1.65, -0.54, -0.21, -0.78, 0.29999999999999993, -0.18, 0.5999999999999999], "iou": 0.7584600457490714, "pen": 0.0}, "2,4": {"x": [-0.8999999999999999, 1.1700000000000004, -1.2299999999999998, 0.27, 0.12, -0.42, -0.060000000000000026, -0.41999999999999993, -0.54, 1.05, -0.44999999999999996, 0.48, 0.18, -0.15, -0.47999999999999976, 0.0, 0.39, 0.48, 0.0, 0.48000000000000004, 0.21, -0.02999999999999997, -0.15, 0.26999999999999996, 0.51, 0.0, 0.06, 0.0, -0.06, -0.15, 0.21, 0.36, 0.51, -0.20999999999999996, 0.24, -0.27, 0.18, -0.15, 0.27, 0.18000000000000002, 1.38, -0.48, -0.12, -0.44999999999999996, -0.51, -0.12, 0.06, 0.42, 0.87, -1.65, -0.48000000000000004, -0.21, -0.81, 0.29999999999999993, -0.15, 0.44999999999999984], "iou": 0.7538413214953896, "pen": 0.0}, "2,5": {"x": [-1.02, 1.0500000000000003, -0.8699999999999998, 0.27, 0.12, -0.42, -0.30000000000000004, -0.29999999999999993, -0.66, 1.05, -0.44999999999999996, 0.36, 0.15, -0.15, -0.23999999999999977, 0.15, 0.39, 0.63, 0.12, 0.24000000000000005, 0.20999999999999996, 2.7755575615628914e-17, 0.03, 0.29999999999999993, 0.72, -0.03, 0.06, 0.0, -0.18, -0.15, 0.30000000000000004, 0.36, 0.7200000000000001, -0.08999999999999997, 0.18, -0.24000000000000002, 0.06, -0.15, 0.27, 0.15000000000000002, 1.38, -0.5700000000000001, -0.12, -0.38999999999999996, -0.51, -0.06, -0.18, 0.15, 0.87, -1.65, -0.24000000000000005, -0.21, -0.8400000000000001, 0.17999999999999994, -0.44999999999999996, 0.44999999999999984], "iou": 0.7366232157521524, "pen": 0.0}, "2,6": {"x": [-1.1700000000000002, 1.0500000000000003, -0.5699999999999998, 0.45, 0.27, -0.24, -0.12000000000000005, -0.05999999999999994, -0.78, 1.0499999999999998, -0.38999999999999996, 0.36, 0.15, -0.09, -0.059999999999999776, 0.15, 0.27, 0.75, -0.06, 0.24000000000000005, 0.17999999999999997, 2.7755575615628914e-17, 0.06, 0.17999999999999994, 0.72, -0.03, 0.06, 0.0, 0.06, -0.15000000000000002, 0.18000000000000005, 0.12, 0.7200000000000001, -0.20999999999999996, 0.06, -0.12000000000000002, 0.06, -0.15, 0.27, 0.030000000000000027, 1.14, -0.7500000000000002, -0.12, -0.26999999999999996, -0.27, 0.0, -0.36, 0.12, 0.87, -1.65, -0.24000000000000005, -0.21, -0.8400000000000001, -0.06000000000000005, -0.69, 0.4199999999999998], "iou": 0.7338040522613788, "pen": 0.0}, "2,7": {"x": [-1.1700000000000002, 1.0200000000000002, -0.32999999999999985, 0.45, 0.27, 0.0, -0.12000000000000005, -0.029999999999999943, -0.9, 0.8099999999999998, -0.26999999999999996, 0.42, 0.21, -0.06, -0.059999999999999776, 0.12, 0.12000000000000002, 0.69, -0.06, 0.27, 0.23999999999999996, -0.08999999999999997, 0.03, 0.11999999999999994, 0.72, 0.03, -0.15, -0.06, 0.18, -0.24000000000000002, 0.030000000000000054, 0.12, 0.7200000000000001, -0.20999999999999996, -0.18, -0.12000000000000002, 0.06, -0.03, 0.30000000000000004, 2.7755575615628914e-17, 0.8999999999999999, -0.7500000000000002, -0.12, -0.23999999999999996, -0.27, 0.18, -0.27, 0.03, 1.3199999999999998, -1.41, -0.30000000000000004, -0.51, -0.78, 0.32999999999999996, -0.32999999999999996, 0.05999999999999983], "iou": 0.7478148337724744, "pen": 0.0}, "2,8": {"x": [-0.9300000000000002, 1.0200000000000002, -0.32999999999999985, 0.5700000000000001, 0.15000000000000002, 0.0, -0.24000000000000005, 0.15000000000000005, -0.63, 0.7799999999999998, -0.26999999999999996, 0.39, 0.21, 0.03, -0.059999999999999776, 0.09, 0.24000000000000002, 0.6299999999999999, 0.0, 0.21000000000000002, 0.23999999999999996, -0.26999999999999996, 0.09, -0.06000000000000005, 0.72, 0.03, -0.15, -0.06, 0.24, -0.36, 0.030000000000000054, -0.06, 0.6600000000000001, -0.44999999999999996, -0.06, -0.12000000000000002, 0.12, -0.03, 0.06000000000000005, -0.11999999999999997, 0.6599999999999999, -0.9600000000000002, -0.12, -0.20999999999999996, -0.27, 0.12, -0.24000000000000002, -0.05999999999999997, 1.6499999999999997, -1.5299999999999998, -0.39, -0.33, -0.72, 0.32999999999999996, -0.02999999999999997, -0.15000000000000016], "iou": 0.7437826279815921, "pen": 0.0}, "2,9": {"x": [-0.8700000000000001, 1.0200000000000002, -0.08999999999999986, 0.45000000000000007, 0.060000000000000026, -0.03, -0.24000000000000005, 0.09000000000000005, -0.24000000000000002, 1.0199999999999998, 0.21000000000000002, 0.39, 0.21, 0.03, 0.18000000000000022, 0.09, 0.15000000000000002, 0.3899999999999999, 0.18, 0.21000000000000002, 0.27, -0.26999999999999996, 0.0, -0.06000000000000005, 0.48, 0.27, -0.09, 0.18, 0.21, -0.36, 0.060000000000000026, -0.15, 0.6000000000000001, -0.54, -0.24, -0.09000000000000002, -0.12, -0.12, 0.030000000000000054, -0.02999999999999997, 0.7799999999999998, -0.9300000000000002, -0.54, -0.08999999999999997, -0.27, 0.18, 0.05999999999999997, 2.7755575615628914e-17, 1.3499999999999996, -1.8299999999999996, -0.9000000000000001, -0.15000000000000002, -0.44999999999999996, 0.23999999999999996, 2.7755575615628914e-17, -0.060000000000000164], "iou": 0.744170594932148, "pen": 0.0}, "3,0": {"x": [-0.72, 0.87, -0.12, 0.06, -0.36, 0.0, -0.12, 0.27, -0.48, 0.72, 0.0, -0.24, -0.06, -0.18, -0.06, 0.0, -0.12, 0.48, 0.0, 0.0, -0.12, -0.36, -0.21, 0.18, 0.0, 0.0, 0.0, 0.24, 0.0, -0.12, -0.39, 0.24, 0.6599999999999999, -1.02, 0.0, 0.0, 0.0, -0.3, -0.6, -0.24, 0.48, -1.02, -0.12, 0.0, -0.51, 0.0, -0.36, -0.24, -0.54, -1.11, -0.5999999999999999, 0.0, -0.6600000000000001, 0.12, -0.42, -0.18], "iou": 0.5797263078245349, "pen": 0.0}, "3,1": {"x": [-0.72, 0.9299999999999999, -0.12, 0.0, -0.36, 0.0, -0.12, 0.09000000000000002, -0.48, 0.72, -0.03, -0.18, -0.06, -0.24, -0.09, 0.06, -0.12, 0.48, -0.03, 0.03, -0.03, -0.32999999999999996, -0.24000000000000002, 0.24, 0.0, 0.0, 0.12, 0.24, -0.12, -0.09, -0.36, 0.36, 0.20999999999999994, -0.96, 0.06, 0.06, 0.0, -0.3, -0.6, -0.15, 0.41999999999999993, -1.02, -0.12, 0.0, -0.42000000000000004, 0.03, -0.2399999999999999, -0.15, -0.30000000000000004, -1.08, -0.8400000000000001, 0.0, -0.4800000000000003, 0.12, -0.18, -0.12], "iou": 0.6067306574293825, "pen": 0.0}, "3,2": {"x": [-1.3199999999999998, 0.9299999999999999, -0.12, 0.0, -0.18, -0.12, -0.06, 0.09000000000000002, -0.48, 1.44, 0.44999999999999996, 0.06, -0.06, -0.48, 0.03, 0.12, 0.18, 0.72, 0.21, 0.21000000000000002, 0.21, -0.14999999999999997, -2.7755575615628914e-17, 0.24, 0.48, 0.12, 0.36, 0.0, 0.18, -0.26999999999999996, -0.15, 0.12, 0.69, -0.48, 0.18, 0.12, 0.0, -0.30000000000000004, -0.3, -0.12, 1.14, -1.02, -0.12, 0.24, -0.54, -0.26999999999999996, -0.3599999999999999, -0.33, -0.18000000000000005, -1.08, -0.4800000000000001, 0.0, -0.4800000000000003, 0.12, -0.24, -0.12], "iou": 0.7743111979274259, "pen": 0.0}, "3,3": {"x": [-1.38, 0.9299999999999999, -0.12, 0.0, 0.0, -0.12, -0.06, 0.18000000000000002, -0.72, 1.44, 0.44999999999999996, 0.06, 0.18, -0.48, -0.09, 0.03, 0.18, 0.96, 0.21, 0.21000000000000002, 0.21, -0.26999999999999996, -2.7755575615628914e-17, 0.06, 0.48, 0.24, 0.36, 0.0, 0.18, -0.20999999999999996, -0.09, 0.06, 0.69, -0.27, 0.18, 0.15, 0.06, -0.30000000000000004, -0.12, -0.18, 1.14, -1.02, -0.12, 0.48, -0.48000000000000004, -0.39, -0.3599999999999999, -0.36, 0.75, -1.5, -0.3000000000000001, 0.06, -0.4800000000000003, -0.12, -0.3, -0.12], "iou": 0.7979356894803697, "pen": 0.0}, "3,4": {"x": [-1.41, 0.6599999999999999, -0.12, 0.03, 0.0, -0.12, -0.06, 0.39, -0.96, 1.2, 0.44999999999999996, 0.06, 0.18, -0.48, -0.03, 0.15000000000000002, -0.06, 0.8999999999999999, 0.21, 0.21000000000000002, 0.21, -0.27, -2.7755575615628914e-17, 0.09, 0.32999999999999996, 0.72, 0.36, 0.24, 0.18, -0.20999999999999996, 0.09, 0.06, 0.69, -2.7755575615628914e-17, 0.18, 0.21, 0.06, -0.24000000000000005, 0.09, -0.03, 0.8999999999999999, -1.02, -0.3, 0.48, -0.48000000000000004, -0.33, 1.1102230246251565e-16, -0.12, 1.14, -1.29, -0.3000000000000001, 0.09, -0.4200000000000003, -0.09, -0.39, -0.12], "iou": 0.8017021284434659, "pen": 0.0}, "3,5": {"x": [-1.47, 0.6599999999999999, -0.09, -0.06, 0.0, -0.15, -0.06, 0.51, -1.1700000000000002, 1.38, 0.44999999999999996, 0.12, 0.18, -0.36, -0.030000000000000027, 0.30000000000000004, -0.06, 0.8399999999999999, 0.27, 0.27, 0.21, -0.15000000000000002, -0.030000000000000027, 0.26999999999999996, 0.32999999999999996, 0.48000000000000004, 0.3, 0.21, 0.12, -0.17999999999999997, 0.09, 0.12, 0.69, -0.15000000000000002, 0.15, 0.15, -0.03, -0.24000000000000002, 0.12, 0.03, 0.7799999999999998, -1.02, -0.3, 0.24, -0.5999999999999999, -0.33, 1.1102230246251565e-16, 0.0, 0.99, -1.32, -0.3000000000000001, 0.09, -0.4200000000000003, -0.03, -0.15000000000000002, 0.06], "iou": 0.7778928714103344, "pen": 0.0}, "3,6": {"x": [-1.68, 0.6299999999999999, 0.39, 0.27, -0.24, 0.18, -0.18, 0.5399999999999999, -1.17, 1.3499999999999999, 0.20999999999999996, 0.48, 0.18, -0.24, -0.15000000000000002, 0.30000000000000004, -0.18, 1.0799999999999998, 0.30000000000000004, 0.39, 0.18, -0.27, -2.7755575615628914e-17, 0.26999999999999996, 0.32999999999999996, 0.42000000000000004, 0.3, 0.24000000000000002, 0.12, -0.20999999999999996, 0.21, 0.18, 0.69, -0.36, 0.15, 0.21, -0.03, -0.24000000000000002, 0.24, 0.15, 0.7199999999999998, -1.26, -0.3, 0.24, -0.3599999999999999, -0.27, 0.1200000000000001, 0.24, 0.99, -1.3800000000000001, -0.3000000000000001, -0.09, -0.4200000000000003, 0.21, -0.15000000000000002, 0.06], "iou": 0.7684350956919557, "pen": 0.0}, "3,7": {"x": [-1.6800000000000002, 1.1099999999999999, 0.27, 0.39, -0.24, 0.06, -0.15, 0.2699999999999999, -1.0499999999999998, 1.3499999999999999, 0.20999999999999996, 0.48, 0.18, -0.18, 0.08999999999999997, 0.24000000000000005, -0.21, 0.5999999999999999, 0.36000000000000004, 0.39, 0.2699999999999999, -0.30000000000000004, 0.08999999999999997, 0.08999999999999997, 0.38999999999999996, 0.06000000000000005, 0.3, 0.12000000000000002, 0.06, -0.44999999999999996, -0.03, 0.09, 0.6299999999999999, -0.42, 0.15, 0.21, -0.03, -0.24000000000000002, 0.0, 0.03, 0.47999999999999976, -0.99, -0.12, 0.12, -0.11999999999999988, 0.02999999999999997, 0.03000000000000011, 0.15, 0.27, -1.3800000000000001, -0.3000000000000001, -0.09, -0.4200000000000003, 0.32999999999999996, -0.030000000000000027, 0.27], "iou": 0.7422902398757578, "pen": 0.0}, "3,8": {"x": [-1.2000000000000002, 1.1099999999999999, 0.030000000000000027, 0.39, -0.12, 0.06, -0.27, 0.2699999999999999, -0.8099999999999998, 1.3499999999999999, 0.20999999999999996, 0.6, 0.18, -0.24, 0.08999999999999997, 0.18000000000000005, -0.21, 0.5999999999999999, 0.6000000000000001, 0.39, 0.29999999999999993, -0.30000000000000004, 0.02999999999999997, -0.09000000000000002, 0.38999999999999996, -0.11999999999999994, 0.54, 0.12000000000000002, 0.03, -0.44999999999999996, -0.27, 0.06, 0.6299999999999999, -0.42, 0.15, 0.21, -0.03, -0.24000000000000002, 0.0, -0.09, 0.47999999999999976, -0.99, -0.12, 0.03, -0.14999999999999988, -0.060000000000000026, 1.1102230246251565e-16, 0.15, 0.18000000000000002, -1.3800000000000001, -0.3000000000000001, -0.09, -0.6600000000000004, 0.32999999999999996, 0.20999999999999996, 0.27], "iou": 0.7340620084240068, "pen": 0.0}, "3,9": {"x": [-1.0500000000000003, 1.1099999999999999, 0.030000000000000027, 0.45, -0.18, 0.06, -0.09000000000000002, 0.029999999999999916, -0.8099999999999998, 1.3499999999999999, 0.26999999999999996, 0.6, 0.18, 0.0, -0.030000000000000027, 5.551115123125783e-17, -0.41999999999999993, 0.5999999999999999, 0.8700000000000001, 0.39, 0.14999999999999994, -0.30000000000000004, -0.21000000000000002, -0.18000000000000002, 0.38999999999999996, 5.551115123125783e-17, 0.54, 0.18000000000000002, -0.21, -0.26999999999999996, -0.030000000000000027, 0.0, 0.6299999999999999, -0.42, 0.15, 0.21, -0.27, -0.24000000000000002, -0.06, -0.11999999999999997, 0.23999999999999977, -0.99, -0.12, 0.03, -0.1499999999999999, -0.12000000000000002, 1.1102230246251565e-16, 0.15, -0.02999999999999997, -1.1400000000000001, -0.72, -0.32999999999999996, -0.24000000000000038, 0.26999999999999996, 0.20999999999999996, 0.27], "iou": 0.73671351409093, "pen": 0.0}, "4,0": {"x": [-0.48, 0.24, 0.0, 0.0, -0.03, 0.0, 0.15, 0.06, -0.24, 0.48, 0.24, -0.24, 0.0, -0.24, -0.36, -0.24, -0.24, 0.36, 0.0, 0.03, 0.15, 0.0, 0.21, -0.12, -0.09, 0.12, -0.12, 0.0, 0.06, 0.12, 0.03, 0.0, 0.24, -0.12, -0.24, -0.03, 0.0, 0.12, -0.18, 0.0, 0.0, -0.24, -0.12, 0.0, -0.24, 0.0, 0.0, -0.12, -0.6, -0.24, -0.12, 0.0, -0.12, -0.12, 0.0, -0.24], "iou": 0.6878707534814079, "pen": 0.0}, "7,0": {"x": [-0.36, 0.72, -0.24, 0.12, 0.0, -0.12, 0.0, -0.24, 0.0, 0.72, -0.42, 0.0, -0.12, -0.12, 0.0, -0.12, 0.24, 0.0, 0.0, 0.0, 0.0, -0.12, 0.06, 0.06, 0.0, 0.0, 0.0, -0.24, 0.0, -0.24, 0.24, 0.0, 0.0, 0.03, -0.27, -0.36, 0.0, -0.24, 0.24, 0.0, 0.0, -0.24, -0.3, 0.0, 0.06, 0.0, 0.0, 0.06, -0.48, -0.72, -0.24, 0.0, 0.0, 0.24, 0.0, 0.0], "iou": 0.728182290047849, "pen": 0.0}, "8,0": {"x": [-0.48, 0.72, -0.48, 0.12, 0.15, 0.0, 0.0, -0.21, 0.24, 0.72, -0.48, -0.12, 0.12, -0.12, -0.09, -0.24, 0.21, 0.24, 0.0, -0.24, 0.24, 0.0, 0.0, -0.12, 0.0, 0.12, -0.12, 0.24, 0.09, 0.06, -0.03, -0.32999999999999996, 0.24, 0.0, 0.0, -0.06, -0.24, 0.0, 0.12, -0.42, -0.12, -0.69, -0.24, 0.06, -0.06, 0.0, 0.03, -0.24, -0.72, -0.48, -0.06, 0.0, 0.09, 0.0, 0.0, 0.0], "iou": 0.7472906028210752, "pen": 0.0}, "5,0": {"x": [-0.48000000000000004, 0.3, -0.09, 0.0, 0.0, -0.24, -0.06, 0.09, -0.24, 0.0, 0.0, 0.0, -0.09, -0.15, 0.0, 0.3, -0.24, 0.24, 0.0, 0.0, 0.12, -0.36, 0.18, 0.21, -0.24, 0.48, -0.12, 0.0, 0.0, -0.24, 0.03, 0.21, 0.0, -0.24, 0.0, 0.0, -0.24, 0.0, -0.12, 0.21, 0.06, -0.48, -0.3, 0.24, -0.3, 0.0, -0.18, 0.24, -0.48, -0.48, -0.72, 0.0, -0.03, 0.03, 0.21, 0.54], "iou": 0.7571873851349066, "pen": 0.0}, "5,1": {"x": [-0.72, 0.3, 0.15, 0.0, 0.12, -0.24, 0.06, 0.03, -0.24, 0.0, 0.0, 0.0, -0.03, -0.15, 0.0, 0.3, -0.24, 0.24, 0.0, -0.06, 0.12, -0.48, 0.18, 0.09, -0.24, 0.48, -0.12, 0.0, 0.0, -0.48, -0.06, 0.21, -0.24, 0.03, -0.09, 0.0, -0.15, -0.12, -0.12, 0.23999999999999996, 0.0, -0.24, -0.27, 0.0, -0.24000000000000002, -0.12, -0.18, 0.29999999999999993, -0.51, -0.48, -0.72, 0.0, -0.03, 0.09, 0.09, 0.6300000000000001], "iou": 0.7260560218286797, "pen": 0.0}, "5,2": {"x": [-0.72, 0.78, 0.15, 0.0, 0.18, -0.48, 0.12, -0.09, -0.24, 0.12, 0.0, -0.12, 0.03, 0.03, -0.06, 0.03, -0.24, 0.48, 0.18, -0.06, 0.06, -0.48, 0.0, 0.03, -0.12, 0.48, -0.15, 0.0, 0.03, -0.48, 0.0, -0.03, -0.12, 0.03, -0.09, 0.12, -0.15, -0.18, 0.0, 0.11999999999999997, 0.0, -0.24, -0.27, 0.0, -0.24000000000000002, -0.12, -0.18, 0.29999999999999993, -0.51, -0.42, -0.48000000000000004, 0.0, -0.15, 0.09, -0.03, 0.5100000000000001], "iou": 0.700643399322348, "pen": 0.0}, "5,3": {"x": [-0.72, 0.78, 0.21, 0.0, 0.24, -0.48, -0.06, -0.51, -0.24, 0.12, 0.0, -0.12, 0.03, 0.03, 0.0, -0.21, -0.24, 0.6, 0.18, -0.06, 0.06, -0.72, 0.0, -0.12, -0.12, 0.48, -0.15, 0.0, 0.0, -0.48, 0.0, -0.03, -0.12, 0.03, -0.09, 0.12, -0.15, -0.3, 0.0, 0.23999999999999996, -0.12, -0.36, -0.33, 0.0, -0.30000000000000004, -0.12, -0.24, 0.29999999999999993, -0.39, -0.42, -0.48000000000000004, 0.0, -0.15, -0.09, -0.15, 0.3900000000000001], "iou": 0.6718786294450286, "pen": 0.0}, "5,4": {"x": [-0.72, 0.78, 0.21, 0.0, 0.24, -0.36, 0.06, -0.48, -0.24, 0.12, 0.0, -0.12, 0.03, 0.03, 0.24, -0.24, -0.18, 0.36, -0.06, 0.21, -0.03, -0.48, 0.03, -0.18, -0.12, 0.24, 0.09, 0.0, -0.06, -0.48, -0.03, -0.03, -0.12, 0.03, -0.09, -0.12, -0.15, -0.18, 0.0, 0.20999999999999996, -0.24, -0.42, -0.27, 0.0, -0.24000000000000005, -0.06, -0.24, 0.29999999999999993, -0.51, -0.24, -0.36000000000000004, -0.12, -0.18, -0.06, -0.18000000000000002, 0.30000000000000016], "iou": 0.6272439273667516, "pen": 0.0}, "6,0": {"x": [-0.36, 0.3, -0.36, 0.18, 0.06, -0.18, -0.54, -0.24, -0.24, 0.0, 0.0, -0.24, 0.24, 0.24, -0.54, 0.0, -0.24, 0.24, -0.24, 0.24, 0.0, 0.0, -0.42, -0.42, -0.18, 0.24, -0.18, 0.24, -0.06, -0.03, -0.21, -0.36, 0.0, 0.24, 0.0, 0.0, -0.24, -0.12, -0.12, -0.18, 0.03, -0.27, -0.51, 0.0, -0.03, 0.06, -0.42, -0.18, -0.39, -0.24, -0.54, 0.24, 0.03, 0.0, -0.39, -0.03], "iou": 0.7283467219038553, "pen": 0.0}, "6,1": {"x": [-0.36, 0.54, -0.44999999999999996, 0.06, 0.15, -0.3, -0.45000000000000007, -0.18, -0.24, 0.24, -0.06, -0.42, 0.3, 0.18, -0.48000000000000004, 0.0, -0.24, 0.30000000000000004, -0.12, 0.03, 0.12, 0.06, -0.3, -0.24, -0.18, 0.21, 0.0, 0.09, 0.0, -0.03, -0.21, -0.24, 0.0, 0.24, 0.0, 0.0, -0.24, -0.12, -0.18, -0.18, 0.03, -0.27, -0.27, 0.0, -0.030000000000000027, 0.06, -0.39, -0.06, -0.21000000000000002, -0.44999999999999996, -0.54, 0.21, -0.18, 0.24, -0.5099999999999999, 0.09], "iou": 0.718909145166848, "pen": 0.0}, "6,2": {"x": [-0.36, 0.30000000000000004, -0.20999999999999996, -0.18, 0.27, -0.3, -0.45000000000000007, 0.06, -0.24, 0.3, -0.09, -0.44999999999999996, 0.3, -0.12, -0.5999999999999999, 0.0, -0.36, 0.30000000000000004, -0.24, 0.03, 0.06, 0.06, -0.3, -0.09, -0.15, 0.24, -0.06, 0.03, -0.06, -0.03, -0.26999999999999996, -0.18, 0.0, 0.24, 0.0, 0.0, -0.3, -0.15, -0.36, -0.18, -0.18, -0.27, -0.30000000000000004, 0.03, 0.17999999999999997, 0.03, -0.27, 0.06, -0.27, -0.32999999999999996, -0.54, 0.21, -0.12, 0.24, -0.47999999999999987, 0.06], "iou": 0.694486276878732, "pen": 0.0}, "6,3": {"x": [-0.36, 0.30000000000000004, -0.20999999999999996, -0.18, 0.27, -0.3, -0.33000000000000007, 0.06, -0.24, 0.3, -0.09, -0.44999999999999996, 0.3, -0.12, -0.5999999999999999, -0.06, -0.36, 0.30000000000000004, -0.24, 0.03, 0.12, 0.06, -0.32999999999999996, -0.21, -0.09, 0.24, 0.0, 0.03, -0.06, -0.09, -0.38999999999999996, -0.18, 0.0, 0.24, 0.0, 0.0, -0.3, -0.15, -0.36, -0.12, -0.18, -0.27, -0.30000000000000004, 0.03, 0.17999999999999997, 0.03, -0.27, 0.06, -0.27, -0.32999999999999996, -0.54, 0.21, -0.12, 0.24, -0.4199999999999999, 0.06], "iou": 0.7103888347300843, "pen": 0.0}, "6,4": {"x": [-0.36, 0.54, -0.23999999999999996, -0.18, 0.060000000000000026, -0.06, -0.45000000000000007, 0.09, -0.24, 0.3, -0.09, -0.44999999999999996, 0.3, -0.12, -0.5999999999999999, 0.18, -0.12, 0.30000000000000004, -0.24, -0.27, 0.12, -0.18, -0.32999999999999996, -0.27, -0.09, 0.27, 0.0, -0.02999999999999997, 0.18, -0.15, -0.32999999999999996, -0.18, 0.0, 0.24, 0.0, 0.0, -0.06, -0.15, -0.36, -0.06, 0.06, -0.27, -0.30000000000000004, 0.03, -0.060000000000000026, 0.03, -0.33, 0.06, -0.33, -0.57, -0.21000000000000005, 0.21, -0.06, 0.0, -0.2999999999999999, 0.06], "iou": 0.7249472164534987, "pen": 0.0}, "9,0": {"x": [-0.42, 0.72, -0.39, 0.0, 0.27, -0.24, -0.21, 0.15, -0.09, 0.72, -0.39, 0.0, 0.0, -0.24, -0.24, 0.24, 0.0, 0.24, -0.15, -0.24, 0.36, 0.0, -0.09, 0.48, -0.03, 0.27, 0.0, 0.0, 0.0, 0.0, 0.0, 0.51, 0.24, 0.06, 0.0, 0.03, -0.18, 0.0, 0.0, 0.44999999999999996, 0.0, -0.24, 0.0, 0.03, 0.0, -0.24, 0.12, 0.27, -0.6599999999999999, -0.24, 0.36, -0.24, 0.3, -0.12, -0.09, 0.12], "iou": 0.7120685120949097, "pen": 0.0}, "9,1": {"x": [-0.8099999999999998, 0.63, -0.42000000000000004, -0.09, 0.24000000000000002, -0.18, -0.21, 0.24000000000000002, -0.12, 0.96, -0.39, -0.21, 0.24, -0.21, -0.24, 0.36, 0.0, 0.27, -0.15, -0.27, 0.32999999999999996, -0.03, -0.09, 0.44999999999999996, 0.21, 0.75, -0.24, 0.0, 0.03, 0.03, 0.24, 0.24000000000000002, 0.12, 0.0, -0.06, 0.03, 0.06, 0.0, 0.27, 0.20999999999999996, 0.0, -0.48, 0.0, -0.03, 0.18, -0.12, 0.24, 0.21000000000000002, -0.69, -0.6, 0.06, -0.24, 0.3, -0.09, 0.06, 0.18], "iou": 0.7253098113247649, "pen": 0.0}, "9,2": {"x": [-0.5699999999999998, 0.66, -0.18000000000000005, 2.7755575615628914e-17, 0.48, -0.48, 0.060000000000000026, 0.09000000000000002, -0.12, 0.96, -0.39, -0.21, 0.24, -0.27, -0.06, 0.12, 0.0, 0.39, -0.15, -0.39, 0.32999999999999996, -0.27, -0.09, 0.20999999999999996, 0.21, 0.99, -0.36, 0.12, 0.03, -0.21, 0.0, -0.23999999999999996, 0.09, 0.06, -0.06, -0.09, 0.06, -0.12, 0.27, 0.02999999999999997, -0.21, -0.29999999999999993, -0.06, -0.12, 0.21, -0.12, 0.24, 0.15000000000000002, -0.44999999999999996, -0.6, -0.03, -0.24, 0.24, -0.12, 0.18, 0.18], "iou": 0.6720191943751562, "pen": 0.0}, "9,3": {"x": [-0.32999999999999985, 0.18000000000000005, -0.45000000000000007, 2.7755575615628914e-17, 0.36, -0.48, 0.12000000000000002, 0.09000000000000002, -0.09, 0.6299999999999999, -0.27, -0.32999999999999996, 0.3, -0.39, -0.06, 0.12, -0.24, 0.54, -0.15, -0.15000000000000002, 0.32999999999999996, -0.44999999999999996, -0.12, -0.030000000000000027, 0.21, 0.99, -0.36, 0.12, 0.0, -0.41999999999999993, -0.24, -0.23999999999999996, -0.12, 0.09, -0.06, -0.09, 0.03, -0.24, 0.09000000000000002, -0.030000000000000027, -0.21000000000000002, -0.29999999999999993, -0.09, -0.12, 0.18, -0.12, 0.15, 0.21000000000000002, -0.44999999999999996, -0.6, -0.03, -0.24, 0.24, -0.12, 0.21, 0.18], "iou": 0.6851949679165904, "pen": 0.0}, "9,4": {"x": [-0.32999999999999985, 0.18000000000000005, -0.42000000000000004, 2.7755575615628914e-17, 0.42, -0.48, 0.12000000000000002, -0.08999999999999997, -0.09, 0.6299999999999999, -0.27, -0.23999999999999996, 0.18, -0.6300000000000001, -0.15, -0.12, -0.18, 0.5700000000000001, -0.21, -0.030000000000000027, 0.32999999999999996, -0.41999999999999993, -0.12, -0.12000000000000002, 0.18, 0.72, -0.36, 0.15, 0.0, -0.5399999999999999, -0.15, -0.36, -0.09, 0.09, -0.3, -0.09, -0.09, -0.24, -0.02999999999999997, -0.27, -0.69, -0.29999999999999993, -0.32999999999999996, 0.0, -0.06, -0.12, 0.09, 0.27, -0.44999999999999996, -0.9300000000000002, -0.15, 0.0, 0.44999999999999996, 0.24, 0.27, 0.48], "iou": 0.6959683432215285, "pen": 0.0}, "9,5": {"x": [-0.5099999999999998, 0.42000000000000004, -0.42000000000000004, 2.7755575615628914e-17, 0.36, -0.51, 0.030000000000000027, -0.05999999999999997, -0.32999999999999996, 0.5099999999999999, -0.27, -0.08999999999999997, 0.3, -0.5400000000000001, -0.15, -0.06, -0.18, 0.5700000000000001, -0.21, -0.030000000000000027, 0.32999999999999996, -0.5099999999999999, 0.03, -0.09000000000000002, 0.12, 0.72, -0.36, 0.21000000000000002, -0.24, -0.5099999999999999, 0.12, -0.39, -0.09, 0.09, -0.3, -0.09, -0.15, -0.24, 0.24000000000000002, -0.21000000000000002, -0.44999999999999996, -0.41999999999999993, -0.14999999999999997, 0.03, -0.03, 0.0, 0.18, 0.21000000000000002, -0.08999999999999997, -0.9900000000000002, -0.15, 0.06, 0.44999999999999996, 0.44999999999999996, 0.15000000000000002, 0.48], "iou": 0.7293646911564708, "pen": 0.0}, "9,6": {"x": [-0.7499999999999998, 0.42000000000000004, -0.06000000000000005, 0.24000000000000002, -0.06, -0.51, 0.030000000000000027, 0.24000000000000002, -0.44999999999999996, 0.7499999999999999, -0.21000000000000002, -0.02999999999999997, 0.3, -0.5400000000000001, 0.03, 0.06, -0.18, 0.81, -0.21, 0.08999999999999997, 0.20999999999999996, -0.5699999999999998, 0.27, -0.12000000000000002, 0.0, 0.72, -0.12, 0.30000000000000004, 0.0, -0.41999999999999993, 0.3, -0.27, -0.09, 0.44999999999999996, -0.06, 0.15, 0.09, -0.3, 0.51, -0.12000000000000002, -0.44999999999999996, -0.4799999999999999, 0.09000000000000002, 0.03, 0.21, 0.12, 0.42, 0.21000000000000002, -0.05999999999999997, -1.2300000000000002, 0.32999999999999996, 0.21, 0.44999999999999996, 0.57, 0.060000000000000026, 0.36], "iou": 0.7843874943931257, "pen": 0.0}, "10,0": {"x": [-0.9299999999999999, 0.72, -0.57, 0.0, 0.0, -0.06, 0.42, -0.24, 0.0, 0.0, 0.0, -0.03, 0.0, -0.09, 0.09, 0.21, 0.0, 0.0, -0.24, 0.24, 0.0, 0.0, 0.0, 0.0, 0.24, -0.12, -0.12, -0.12, -0.12, 0.0, 0.0, -0.21, 0.0, -0.12, -0.12, 0.0, 0.0, -0.12, 0.12, -0.48, 0.0, -0.36, -0.18, 0.0, 0.06, 0.12, 0.3, -0.18, -0.6599999999999999, -0.6000000000000001, -0.18, 0.0, 0.03, 0.12, 0.29999999999999993, -0.18], "iou": 0.7587043927985991, "pen": 0.0}, "10,1": {"x": [-0.9299999999999999, 0.72, -0.57, 0.0, 0.06, -0.03, 0.48, 0.0, -0.24, 0.0, 0.0, 0.09, 0.21, -0.29999999999999993, 0.03, -0.03, 0.0, 0.24, -0.24, 0.15, -0.24, -0.09, 0.12, -0.09, 0.0, -0.12, -0.24, -0.12, 0.0, -0.03, 0.09, -0.21, 0.0, -0.24, -0.36, 0.06, 0.0, -0.03, 0.12, -0.24, -0.12, -0.36, -0.3, 0.0, 0.06, 0.15, 0.18, -0.06, -0.41999999999999993, -0.6000000000000001, -0.3, 0.0, 0.15000000000000002, 0.24, 0.05999999999999994, -0.06], "iou": 0.7340586559586797, "pen": 0.0}, "10,2": {"x": [-0.9299999999999999, 0.96, -0.38999999999999996, 0.0, 0.27, -0.03, 0.8999999999999999, 0.12, -0.3, -0.15, -0.12, 0.0, 0.09, -0.29999999999999993, 0.51, -0.39, -0.06, 0.03, -0.15, 0.15, 0.03, -0.17999999999999997, 0.3, -0.26999999999999996, -0.24, -0.12, -0.24, -0.12, -0.03, -0.03, 0.15, -0.15, -0.24, -0.24, -0.36, 0.0, 0.12, -0.03, 0.18, -0.18, -0.24, -0.42, -0.36, 0.24, 0.18, 0.27, 0.18, -0.12, -0.17999999999999994, -0.9600000000000001, -0.48000000000000004, 0.21, 0.09000000000000002, 0.63, -0.18000000000000005, 0.09], "iou": 0.7196798498524827, "pen": 0.0}, "10,3": {"x": [-0.96, 0.96, -0.14999999999999997, -0.15, 0.6000000000000001, 0.03, 1.23, 0.51, -0.3, -0.15, -0.12, 0.24, 0.09, -0.32999999999999996, 0.44999999999999996, -0.27, -0.12, 0.0, -0.09, 0.12, 0.03, -0.23999999999999996, 0.3, -0.26999999999999996, -0.24, -0.24, -0.24, 0.0, 0.0, -0.03, 0.24000000000000002, -0.15000000000000002, -0.24, -0.24, -0.36, 0.0, -0.12, 0.08999999999999997, 0.12, -0.12, -0.24, -0.42, -0.48, 0.24, 0.03, 0.27, 0.0, 0.06, -0.17999999999999994, -1.02, -0.48000000000000004, 0.27, 0.09000000000000002, 0.72, -0.12000000000000005, 0.03], "iou": 0.6963831619031712, "pen": 0.0}, "10,4": {"x": [-0.8999999999999999, 0.8999999999999999, -0.08999999999999997, -0.03, 0.81, -0.03, 1.4100000000000001, 0.33, -0.3, -0.03, -0.12, 0.06, 0.27, -0.20999999999999996, 0.54, -0.060000000000000026, -0.12, 0.0, -0.09, 0.12, 0.03, -0.11999999999999997, 0.32999999999999996, -0.14999999999999997, -0.24, -0.48, -0.24, 0.0, 0.0, -0.03, 0.12000000000000002, 0.02999999999999997, -0.24, -0.24, -0.36, 0.0, -0.12, -0.030000000000000027, 0.12, -0.12, -0.36, -0.42, -0.39, 0.24, 0.15000000000000002, 0.21000000000000002, 0.48, 0.06, -0.35999999999999993, -1.02, -0.36000000000000004, 0.27, 0.39, 0.6599999999999999, 0.029999999999999943, 0.09], "iou": 0.7291991734229754, "pen": 0.0}, "10,5": {"x": [-0.5699999999999998, 0.8999999999999999, -0.20999999999999996, 0.09, 0.9600000000000002, -0.09000000000000002, 1.4400000000000002, 0.33, -0.27, 0.0, 0.0, 0.15, 0.24000000000000002, -0.26999999999999996, 0.30000000000000004, 0.08999999999999997, 0.12, 0.0, -0.09, 0.21, -0.03, -0.08999999999999997, 0.26999999999999996, -0.11999999999999997, -0.03, -0.44999999999999996, -0.21, 0.0, 0.0, -0.03, 0.15000000000000002, -0.09000000000000002, -0.06, -0.54, -0.36, 0.12, -0.06, 0.02999999999999997, 0.12, -0.03, -0.36, -0.42, -0.27, 0.36, 0.27, 0.21000000000000002, 0.54, 0.06, -0.5999999999999999, -1.02, -0.42000000000000004, 0.27, 0.39, 0.5399999999999999, 0.3899999999999999, 0.20999999999999996], "iou": 0.7535631038153011, "pen": 0.0}, "10,6": {"x": [-0.26999999999999985, 0.8999999999999999, -0.44999999999999996, 0.09, 0.8400000000000002, -0.30000000000000004, 1.6800000000000002, 0.33, -0.27, 0.24, 0.0, 0.18, 0.24000000000000002, -0.26999999999999996, 0.78, 0.08999999999999997, 0.09, -0.24, -0.06, 0.21, 0.03, -0.14999999999999997, 0.29999999999999993, -0.02999999999999997, 0.03, -0.38999999999999996, -0.21, 0.0, -0.12, -0.15, 0.12000000000000002, -0.09000000000000002, 0.12, -0.54, -0.36, -0.09, -0.06, -2.7755575615628914e-17, 0.06, -0.09, -0.36, -0.72, -0.27, 0.36, 0.27, 0.21000000000000002, 0.36000000000000004, 0.12, -0.7799999999999998, -1.02, -0.48000000000000004, 0.21000000000000002, 0.39, 0.35999999999999993, 0.5099999999999999, 0.23999999999999996], "iou": 0.755260177592886, "pen": 0.0}, "11,0": {"x": [-0.72, 0.72, -0.3, 0.0, 0.18, 0.0, 0.09, -0.18, -0.03, 0.48, -0.24, 0.0, 0.03, 0.0, 0.06, -0.03, 0.0, 0.72, -0.24, -0.12, 0.24, -0.12, 0.06, -0.3, -0.09, 0.24, -0.09, 0.0, 0.06, 0.0, 0.06, 0.0, 0.0, -0.12, 0.12, 0.0, 0.06, 0.12, 0.24, 0.0, -0.24, -0.24, 0.0, 0.24, 0.0, 0.3, 0.54, 0.18, -0.24, -0.72, -0.24, -0.24, -0.24, 0.18, 0.36, 0.18], "iou": 0.7597362911845903, "pen": 0.0}, "11,1": {"x": [-0.6, 1.2, -0.75, 0.0, 0.6599999999999999, 0.0, 0.09, -0.42, -0.09, 0.72, -0.42, 0.06, 0.33, 0.0, 0.21, -0.15, 0.0, 0.96, -0.18, -0.12, 0.36, -0.12, 0.21, -0.36, 0.15, 0.24, -0.06, -0.15, 0.27, -0.06, 0.3, -0.18, 0.0, -0.36, 0.0, -0.12, 0.30000000000000004, 0.15, 0.48, 0.12, -0.24, -0.48, -0.06, 0.24, 0.03, 0.27, 0.54, 0.18, -0.06, -0.78, -0.36, -0.24, 0.06, 0.42, 0.51, 0.21], "iou": 0.7455565746979964, "pen": 0.0}, "11,2": {"x": [0.0, 0.72, -0.51, 0.18, 0.6599999999999999, 0.0, 0.15, -0.39, 0.03, 0.72, -0.42, 0.06, 0.5700000000000001, 0.0, 0.27, -0.39, -0.3, 0.8699999999999999, -0.42, 0.0, 0.5700000000000001, -0.09, 0.41999999999999993, -0.3, 0.15, 0.48, -0.12, -0.09, 0.30000000000000004, -0.06, 0.29999999999999993, -0.18, 0.0, -0.15, -0.03, -0.12, 0.30000000000000004, 0.21000000000000002, 0.69, -0.03, -0.3, -0.72, -0.18, 0.24, 0.15, 0.45, 0.72, 0.06, 0.18, -0.78, -0.54, -0.21, -0.24, 0.44999999999999996, 0.51, 0.03], "iou": 0.7524228578579628, "pen": 0.0}, "11,3": {"x": [0.06, 0.03, -0.39, -0.06, 0.6599999999999999, 0.18, 0.15, 0.08999999999999997, -0.21, 0.72, -0.42, 0.06, 0.33000000000000007, 0.0, 0.27, -0.33, -0.3, 0.6299999999999999, -0.24, 0.12, 0.5700000000000001, -0.09, 0.4799999999999999, -0.27, -0.09, 0.3, -0.12, -0.06, 0.54, -0.06, 0.5399999999999999, -0.12, -0.06, -0.15, -0.03, -0.12, 0.30000000000000004, 0.09000000000000002, 0.69, 0.03, -0.18, -0.6, -0.18, -0.12, 0.15, 0.21000000000000002, 0.6599999999999999, 0.06, -0.12, -0.78, -0.54, -0.21, -0.18, 0.38999999999999996, 0.45, 0.09], "iou": 0.5744430427365173, "pen": 0.0}, "11,4": {"x": [-0.18, -0.21, -0.87, -0.15, 0.7199999999999999, 0.3, 0.39, 0.11999999999999997, 0.03, 0.72, -0.39, 0.06, 0.33000000000000007, -0.12, 0.27, -0.27, -0.3, 0.3899999999999999, -0.24, 0.12, 0.45000000000000007, -0.21, 0.4799999999999999, -0.27, -0.21, 0.3, -0.18, -0.06, 0.48000000000000004, -0.06, 0.72, -0.24, -0.18, -0.21, -0.09, -0.18, 0.36000000000000004, 0.09000000000000002, 0.69, -0.09, -0.24, -0.6, -0.3, -0.12, 0.09, 0.21000000000000002, 0.6599999999999999, -0.06, -0.36, -0.78, -0.54, -0.15, -0.12, 0.51, 0.48, 0.03], "iou": 0.5475624459056802, "pen": 0.0}, "11,5": {"x": [0.06, -0.21, -0.8700000000000001, -0.12, 0.5399999999999998, 0.44999999999999996, 0.27, 0.27, 0.24, 0.6, -0.45, -0.06, 0.42000000000000004, -0.27, 0.27, -0.21000000000000002, -0.3, 0.3899999999999999, -0.24, -0.24, 0.18000000000000008, -0.44999999999999996, 0.11999999999999994, -0.27, -0.21, 0.3, -0.18, -0.18, 0.36000000000000004, -0.3, 0.6, -0.24, -0.18, -0.21, -0.32999999999999996, -0.3, 0.12000000000000005, -0.02999999999999997, 0.6599999999999999, -0.09, -0.36, -0.6, -0.3, -0.12, -0.03, 0.21000000000000002, 0.5399999999999999, -0.06, -0.6599999999999999, -0.54, -0.45000000000000007, -0.27, -0.15, 0.51, 0.48, 0.03], "iou": 0.5899442472486729, "pen": 0.0}, "11,6": {"x": [-0.36, 0.5700000000000001, -0.6900000000000002, -0.24, 0.44999999999999984, 0.08999999999999997, 0.27, -0.08999999999999997, -0.12, 0.6, -0.33, -0.36, 0.42000000000000004, -0.27, 0.21000000000000002, -0.33, -0.3, 0.3899999999999999, -0.18, -0.24, 0.30000000000000004, -0.57, 0.11999999999999994, -0.21000000000000002, -0.21, 0.3, -0.18, -0.3, 0.24000000000000005, -0.3, 0.36, -0.18, -0.18, -0.24, -0.44999999999999996, -0.21, -0.11999999999999994, -0.14999999999999997, 0.44999999999999996, 0.21, -0.6, -0.84, -0.78, -0.12, -0.27, 0.21000000000000002, 0.4799999999999999, 0.48, -0.69, -0.5700000000000001, -0.39000000000000007, -0.24000000000000002, -0.09, 0.45000000000000007, 0.51, 0.45], "iou": 0.6384130502391894, "pen": 0.0}, "12,0": {"x": [-0.24, 0.9299999999999999, -0.72, -0.21, 0.24, -0.06, 0.03, -0.32999999999999996, 0.0, 0.72, -0.27, 0.0, -0.12, 0.0, 0.32999999999999996, -0.15, 0.0, 0.78, -0.03, 0.0, -0.12, -0.24, 0.3, -0.24, 0.24, 0.24, -0.24, -0.24, -0.03, -0.09, 0.42, -0.12, 0.12, 0.24, 0.0, 0.0, 0.0, 0.0, 0.39, -0.12, 0.0, -0.24, -0.27, 0.0, -0.21, -0.24, 0.3, -0.03, -0.36, -0.72, -0.12, 0.0, -0.24, 0.0, 0.24, -0.12], "iou": 0.7650593936816519, "pen": 0.0}, "12,1": {"x": [-0.81, 1.17, -0.48, -0.21, 0.24, -0.06, 0.09, -0.17999999999999997, -0.12, 1.08, -0.27, -0.09, 0.12, -0.12, 0.20999999999999996, -0.27, 0.12, 0.96, -0.51, 0.0, -0.18, -0.18, 0.06, -0.18, 0.36, 0.24, -0.06, -0.06, 0.15, -0.15, 0.36, -0.09, 0.12, -0.24, 0.06, 0.24, 0.0, 0.06, 0.33, -0.06, 0.36, -0.8999999999999999, -0.15000000000000002, 0.24, -0.27, 0.15, 0.39, -0.03, -0.36, -0.72, -0.24, 0.0, -0.24, 0.0, 0.24, -0.12], "iou": 0.7535810947132131, "pen": 0.0}, "12,2": {"x": [-0.45000000000000007, 1.41, -0.72, -0.21, 0.24, -0.06, 0.32999999999999996, -0.41999999999999993, 0.12, 1.08, -0.27, -0.09, -0.09, -0.15, 0.08999999999999997, -0.15000000000000002, 0.27, 0.96, -0.51, 0.0, -0.27, 0.06, 0.12, -0.3, 0.48, 0.32999999999999996, -0.09, 0.09, 0.15, 0.06, 0.32999999999999996, -0.20999999999999996, 0.36, -0.42, -0.09, 0.3, 0.0, 0.12, 0.33, -0.03, 0.3, -1.17, -0.15000000000000002, 0.24, -0.27, 0.15, 0.33, -0.03, -0.36, -0.96, -0.42, 0.0, -0.24, 0.24, 0.24, -0.12], "iou": 0.7516532722187647, "pen": 0.0}, "12,3": {"x": [0.11999999999999991, 1.1400000000000001, -0.5399999999999998, -0.21, 0.15, -0.15, 0.17999999999999997, -0.2699999999999999, 0.12, 1.02, -0.27, -0.09, -0.03, -0.09, -0.09000000000000002, -0.24000000000000002, 0.18000000000000002, 0.96, -0.42000000000000004, 0.0, -0.21000000000000002, -0.18, -0.18, -0.24, 0.12, 0.20999999999999996, -0.09, 0.09, 0.15, -0.06, 0.08999999999999997, -0.20999999999999996, 0.24, -0.6599999999999999, -0.09, 0.06, -0.32999999999999996, 0.0, 0.21000000000000002, -0.09, 0.0, -1.17, -0.15000000000000002, 0.24, -0.27, 0.15, 0.15000000000000002, -0.03, -0.12, -1.1400000000000001, -0.3, 0.24, -0.3, 0.42, 0.18, 0.0], "iou": 0.7635078934839645, "pen": 0.0}, "12,4": {"x": [0.2399999999999999, 0.9000000000000001, -0.4199999999999998, -0.21, 0.27, -0.03, 0.32999999999999996, -0.4499999999999999, 0.12, 0.78, -0.21000000000000002, -0.09, 0.03, -0.09, -0.12000000000000002, -0.24, 0.09000000000000002, 0.9299999999999999, -0.39, 0.0, -0.18000000000000002, -0.15, -0.32999999999999996, -0.42, 0.0, 0.20999999999999996, -0.21, 0.09, 0.15, -0.06, 0.08999999999999997, -0.14999999999999997, 0.03, -0.47999999999999976, -0.09, 0.06, -0.05999999999999997, 0.06, 0.15000000000000002, -0.08999999999999997, 0.06, -0.69, -0.15000000000000002, 0.24, -0.18000000000000002, 0.15, 0.15000000000000002, 0.05999999999999997, 0.42, -0.9000000000000001, -0.39, 0.18, -0.6000000000000001, 0.18, -0.06, 0.12], "iou": 0.757128361398207, "pen": 0.0}, "12,5": {"x": [-0.03000000000000011, 1.4100000000000001, -0.4199999999999998, -0.27, 0.36, -0.3600000000000001, -0.09000000000000002, -0.3899999999999999, 0.12, 0.78, -0.030000000000000027, -0.03, 0.51, -0.32999999999999996, 0.11999999999999997, -0.09, 0.51, 0.9299999999999999, -0.29999999999999993, -0.09, -0.060000000000000026, -0.39, -0.11999999999999997, -0.3, 0.24, 0.44999999999999996, -0.09, 0.32999999999999996, -0.03, -0.18, -0.060000000000000026, -0.11999999999999997, 0.33, -0.47999999999999976, 0.09, 0.06, -0.23999999999999996, -0.36, -0.02999999999999997, -0.08999999999999997, 0.3, -0.8099999999999999, -0.15000000000000002, 0.12, -0.18000000000000002, -0.09, 0.030000000000000027, 0.05999999999999994, 0.42, -1.1400000000000001, -0.39, 0.36, -0.6600000000000001, 0.06, -0.06, 0.18], "iou": 0.7906728614553353, "pen": 0.0}, "12,6": {"x": [-0.4800000000000001, 1.1700000000000002, -0.3899999999999998, -0.27, 0.24, -0.33000000000000007, 0.02999999999999997, -0.1799999999999999, -0.12, 0.78, -0.030000000000000027, -0.03, 0.24000000000000002, -0.32999999999999996, 0.05999999999999997, -0.09, 0.51, 0.75, -0.29999999999999993, 0.15, -0.15000000000000002, -0.6, -0.11999999999999997, -0.54, 0.0, 0.20999999999999996, -0.09, 0.38999999999999996, -0.27, -0.06, 0.11999999999999997, -0.3, 0.21000000000000002, -0.29999999999999977, -0.09, 0.24, -0.17999999999999997, -0.18, 0.21000000000000002, -0.08999999999999997, 0.12, -0.81, -0.21000000000000002, 0.3, -0.18000000000000002, 0.0, 0.12000000000000002, 0.05999999999999994, 0.18, -1.08, -0.39, 0.54, -0.3900000000000001, 0.06, -0.06, -0.03], "iou": 0.8073805146024217, "pen": 0.0}, "13,0": {"x": [-0.72, 0.72, -0.12, 0.0, 0.12, 0.0, 0.18, -0.29999999999999993, -0.24, 0.72, -0.44999999999999996, 0.0, -0.03, 0.0, 0.18, -0.24, -0.12, 0.3, -0.09, 0.03, 0.18, -0.06, 0.48, -0.21, 0.0, 0.24, -0.24, 0.24, 0.0, 0.24, 0.0, 0.06, 0.24, 0.24, -0.21, 0.0, -0.03, 0.24, 0.18, 0.03, 0.24, 0.0, -0.24, -0.24, -0.06, 0.24, 0.3, 0.24, -0.6599999999999999, -0.84, 0.0, -0.12, 0.0, 0.24, 0.32999999999999996, 0.32999999999999996], "iou": 0.7585302013451523, "pen": 0.0}, "13,1": {"x": [-0.96, 0.75, -0.09, 0.03, 0.3, -0.15, 0.21, -0.2699999999999999, -0.18, 0.72, -0.44999999999999996, 0.0, -0.21, 0.0, -0.06, -0.09, -0.12, 0.3, -0.32999999999999996, 0.03, -0.06, 0.18, 0.0, -0.09, -0.18, 0.24, -0.36, 0.48, 0.18, 0.24, 0.06, -0.18, 0.21, 0.21, -0.21, 0.03, 0.0, 0.24, 0.15, 0.03, 0.24, 0.0, -0.24, -0.24, -0.03, 0.21, 0.3, 0.24, -0.32999999999999996, -0.48, -0.09, -0.12, 0.12, 0.21, 0.32999999999999996, 0.26999999999999996], "iou": 0.7424824318209278, "pen": 0.0}, "13,2": {"x": [-0.48, 0.81, -0.09, -0.21, 0.36, -0.24, 0.18, -0.11999999999999991, 0.18, 0.48, -0.44999999999999996, 0.0, -0.32999999999999996, 0.0, -0.06, -0.09, -0.12, 0.3, -0.32999999999999996, 0.03, -0.27, 0.12, 0.21, -0.03, 0.06, 0.24, -0.54, 0.24, 0.12, 0.24, 0.3, -0.06, 0.15, 0.21, -0.30000000000000004, -0.09, 0.12, 0.27, 0.24, 0.06, 0.24, -0.06, -0.3, -0.24, -0.09, 0.27, 0.3, 0.3, -0.38999999999999996, -0.48, -0.15, -0.12, 0.09, 0.15, 0.38999999999999996, 0.32999999999999996], "iou": 0.7815911016956554, "pen": 0.0}, "13,3": {"x": [0.06, 0.5700000000000001, -0.06, -0.20999999999999996, 0.12, -0.48, 0.48, -0.2699999999999999, 0.18, 0.48, -0.44999999999999996, 0.0, -0.32999999999999996, -0.12, -0.06, -0.12, 0.24, -0.06, -0.32999999999999996, -0.21, -0.15000000000000002, 0.0, 0.26999999999999996, -0.12000000000000002, 0.06, -0.12, -0.30000000000000004, -0.12, 0.24, 0.18, 0.42000000000000004, -0.06, 0.0, -0.27, -0.33000000000000007, -0.09, 0.12, 0.27, 0.3, 0.12, 0.12, -0.54, -0.42000000000000004, -0.24, -0.32999999999999996, 0.27, 0.12, 0.42, -0.3899999999999999, -0.48, -0.33, -0.06, -0.15, 0.09, 0.20999999999999996, 0.32999999999999996], "iou": 0.7262992548978515, "pen": 0.0}, "13,4": {"x": [0.3, 0.5700000000000001, -0.3, -0.44999999999999996, -0.24, -0.27, 0.24, 0.12000000000000008, 0.42, 0.32999999999999996, -0.44999999999999996, -0.3, -0.32999999999999996, -0.15, 0.06, -0.24, 0.24, -0.06, -0.57, -0.44999999999999996, -0.18000000000000002, -0.12, 0.26999999999999996, -0.24, 0.12, -0.2699999999999999, -0.36000000000000004, -0.21, 0.03, 0.09, 0.15000000000000005, -0.09, 0.09, -0.69, -0.51, -0.09, -0.09, 0.24000000000000002, 0.15, 0.15, 0.12, -1.08, -0.66, 0.03, -0.39, 0.45000000000000007, -0.15, 0.42, -0.6299999999999999, -0.54, -0.51, -0.12, -0.18, 0.32999999999999996, 0.20999999999999996, 0.36], "iou": 0.6613674901191663, "pen": 0.0}, "13,5": {"x": [0.12, 0.5700000000000001, -0.24, -0.44999999999999996, -0.48, 0.08999999999999997, 0.36, 0.4200000000000001, 0.18, 0.44999999999999996, -0.57, -0.3, -0.44999999999999996, 0.03, 0.44999999999999996, 0.0, 0.42, 0.8399999999999999, -0.69, -0.38999999999999996, -0.30000000000000004, -0.06, 0.27, -0.12, 0.12, -0.029999999999999916, -0.36000000000000004, -0.21, -0.21, 0.44999999999999996, 0.15000000000000005, 0.09, -0.03, -0.69, -0.51, -0.09, -0.21, 0.3, 0.21, 0.27, -0.12, -0.8400000000000001, -0.66, 0.03, -0.27, 0.45000000000000007, 0.09, 0.29999999999999993, -0.3899999999999999, -0.54, -0.54, -0.09, -0.21, 0.36, 0.14999999999999997, 0.3], "iou": 0.7069957770857388, "pen": 0.0}, "13,6": {"x": [0.12, 1.05, -0.24, -0.69, -0.48, -0.030000000000000027, 0.09, 0.2400000000000001, 0.3, 0.75, -0.38999999999999996, -0.54, -0.57, 0.0, 0.44999999999999996, -0.09, 0.42, 0.9899999999999998, -0.69, -0.32999999999999996, -0.48, -0.03, 0.09000000000000002, -0.09, 0.48, 0.09000000000000008, -0.36000000000000004, -0.15, -0.21, 0.38999999999999996, 0.21000000000000005, -0.03, 0.03, -0.6299999999999999, -0.51, -0.09, -0.21, 0.18, 0.12, 0.36, -0.36, -0.9600000000000001, -0.54, -0.03, -0.21000000000000002, 0.45000000000000007, 0.06, 0.35999999999999993, -0.5099999999999998, -0.78, -0.48000000000000004, -0.03, -0.27, 0.3, 0.20999999999999996, 0.36], "iou": 0.778946866893676, "pen": 0.0}, "14,0": {"x": [-0.48, 0.72, -0.48, 0.24, 0.24, -0.12, 0.48, -0.36, -0.24, 0.96, -0.24, -0.18, 0.12, -0.06, 0.24, -0.36, 0.06, 0.54, -0.12, -0.06, 0.06, 0.24, 0.24, -0.24, 0.12, 0.24, 0.0, -0.12, 0.0, 0.03, 0.24, -0.3, 0.0, 0.24, 0.0, 0.0, 0.0, -0.06, 0.24, -0.36, 0.24, -0.27, -0.3, -0.21, 0.03, 0.06, 0.09, -0.36, -0.39, -0.48, -0.24, 0.0, 0.03, -0.06, 0.0, -0.44999999999999996], "iou": 0.7103823667812615, "pen": 0.0}, "14,1": {"x": [0.36, 0.6599999999999999, -0.54, 0.09, 0.42, -0.39, 0.44999999999999996, -0.36, 0.24, 0.96, -0.24, -0.06, 0.3, -0.18, 0.36, -0.72, 0.06, 0.30000000000000004, -0.12, -0.06, 0.0, 0.24, 0.12, -0.36, 0.12, 0.24, 0.0, 0.12, 0.0, 0.03, 0.06, -0.3, 0.15, -0.06, -0.09, -0.03, -0.06, 0.06, 0.12, -0.3, 0.24, -0.51, -0.3, -0.18, -0.21, 0.12, 0.09, -0.32999999999999996, -0.51, -0.6, -0.44999999999999996, -0.03, -0.15, 0.06, 0.06, -0.38999999999999996], "iou": 0.7114875748719325, "pen": 0.0}, "14,2": {"x": [0.78, 0.6599999999999999, -0.27, -0.15, 0.15, -0.36, 0.69, -0.57, 0.0, 0.96, -0.24, -0.18, 0.24000000000000002, -0.18, 0.24, -0.6, -0.18, 0.54, -0.12, 0.0, -0.03, 0.09, 0.12, -0.32999999999999996, -0.12, 0.48, 0.24, 0.12, -0.24, 0.03, 0.06, -0.36, 0.09, 0.06, 0.0, -0.03, -0.06, 0.06, 0.24, -0.32999999999999996, 0.24, -0.39, -0.3, -0.06, -0.21, 0.06, 0.15, -0.26999999999999996, 0.51, -0.84, -0.69, -0.03, -0.45, 0.3, -0.06, -0.17999999999999997], "iou": 0.8027805936549246, "pen": 0.0}, "14,3": {"x": [0.9, 0.8999999999999999, -0.54, 0.09, -0.12, -0.48, 0.72, -0.51, 0.0, 0.96, -0.15, -0.18, 0.15000000000000002, -0.18, 0.42000000000000004, -0.6, 0.06, 0.54, -0.12, 0.0, -0.03, -0.03, 0.24, -0.41999999999999993, -0.09, 0.24, 0.21, -0.15, -0.3, -0.15, 0.18, -0.36, 0.09, 0.06, 0.0, -0.15, -0.09, 0.03, 0.30000000000000004, -0.36, 0.24, -0.36, -0.32999999999999996, -0.06, -0.21, 0.3, 0.06, -0.29999999999999993, 0.09000000000000002, -0.8099999999999999, -0.57, -0.03, -0.39, 0.3, -0.06, -0.17999999999999997], "iou": 0.7703307234274351, "pen": 0.0}, "14,4": {"x": [0.66, 0.9299999999999999, -0.54, 0.09, -0.12, -0.32999999999999996, 0.72, -0.51, 0.0, 0.96, -0.09, -0.18, 0.24000000000000002, -0.24, 0.54, -0.48, 0.06, 0.48000000000000004, -0.06, -0.24, 0.09, -0.21000000000000002, 0.24, -0.29999999999999993, 0.12, 0.3, 0.21, -0.21, -0.06, -0.21, 0.21, -0.32999999999999996, 0.09, 0.06, 0.0, -0.21, -0.09, 0.12, 0.30000000000000004, -0.24, 0.24, -0.36, -0.32999999999999996, -0.03, -0.41999999999999993, 0.42000000000000004, 0.06, -0.14999999999999994, 0.09000000000000002, -0.8099999999999999, -0.57, -0.03, -0.51, 0.24, 0.0, -0.14999999999999997], "iou": 0.7864874088909979, "pen": 0.0}, "14,5": {"x": [0.72, 0.69, -0.51, 0.09, -0.32999999999999996, -0.38999999999999996, 0.9299999999999999, -0.33, 0.0, 0.96, -0.09, -0.18, 0.060000000000000026, -0.24, 0.5700000000000001, -0.48, 0.06, 0.48000000000000004, 0.0, -0.24, 0.09, -0.15000000000000002, 0.36, -0.41999999999999993, -0.12, 0.18, 0.21, -0.21, -0.06, -0.15, 0.32999999999999996, -0.29999999999999993, 0.09, -0.18, 0.0, -0.21, -0.08999999999999997, 0.0, 0.30000000000000004, -0.12, 0.0, -0.36, -0.32999999999999996, -0.03, -0.17999999999999994, 0.30000000000000004, 0.42, 0.030000000000000054, -0.14999999999999997, -0.8099999999999999, -0.57, -0.15, -0.42000000000000004, 0.24, 0.18, 2.7755575615628914e-17], "iou": 0.7920033646574065, "pen": 0.0}, "14,6": {"x": [0.48, 0.9299999999999999, -0.51, -0.15, -0.57, -0.26999999999999996, 0.8099999999999999, -0.21000000000000002, 0.0, 0.96, -0.21, -0.18, -0.11999999999999997, -0.06, 0.5700000000000001, -0.42, 0.18, 0.72, -0.21, -0.27, 0.08999999999999997, -0.030000000000000027, 0.48, -0.29999999999999993, 0.12, 0.42, 0.0, -0.21, 0.03, 0.09, 0.38999999999999996, -0.17999999999999994, 0.09, -0.18, 0.0, -0.15, -0.08999999999999997, 0.18, 0.36000000000000004, -0.18, -0.12, -0.12, -0.32999999999999996, -0.03, -0.17999999999999994, 0.33000000000000007, 0.42, 5.551115123125783e-17, 0.33, -0.6299999999999999, -0.38999999999999996, 0.09, -0.42000000000000004, 0.42, 0.12, 0.18000000000000002], "iou": 0.7736005593482893, "pen": 0.0}, "16,0": {"x": [-0.3, 0.96, -0.72, 0.0, -0.12, -0.24, 0.12, 0.0, 0.0, 0.27, 0.0, 0.21, 0.0, -0.24, -0.24, 0.06, 0.09, 0.12, -0.12, 0.18, -0.27, -0.03, -0.06, 0.0, 0.0, 0.24, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.24, 0.0, -0.12, 0.12, 0.0, 0.0, 0.24, -0.24, 0.12, -0.6, -0.12, -0.12, -0.09, -0.12, 0.24, 0.15, -0.24, -0.48, 0.0, -0.24, -0.24, -0.24, 0.12, 0.24], "iou": 0.6843853590406849, "pen": 0.0}, "16,1": {"x": [-0.24, 0.96, -0.6, 0.0, -0.32999999999999996, -0.32999999999999996, 0.09, 0.03, -0.03, 0.09000000000000002, -0.03, 0.18, 0.09, -0.12, 0.15, -0.09, -0.15, 0.32999999999999996, -0.32999999999999996, 0.15, -0.030000000000000027, -0.36, 0.18, -0.15, -0.24, 0.36, 0.0, 0.0, 0.24, -0.09, 0.18, 0.03, 0.24, 0.0, -0.12, 0.12, 0.0, 0.18, 0.21, -0.15, 0.24, -0.6, -0.12, -0.06, -0.32999999999999996, 0.12, 0.3, 0.09, -0.24, -0.48, -0.12, -0.24, -0.24, -0.12, 0.3, 0.18], "iou": 0.7262882794114232, "pen": 0.0}, "16,2": {"x": [-0.09, 0.96, -0.72, 0.0, -0.20999999999999996, -0.44999999999999996, 0.20999999999999996, 0.03, 0.21, -0.38999999999999996, -0.27, 0.42, 0.09, -0.24, 0.87, 2.7755575615628914e-17, -0.03, 0.32999999999999996, -0.32999999999999996, 0.39, 0.05999999999999997, -0.32999999999999996, 0.42, -0.18, -0.06, 0.36, -0.24, 0.0, 0.0, -0.09, 0.3, -0.03, 0.06, 0.0, -0.36, 0.06, 0.0, 0.09, 0.38999999999999996, 0.0, 0.27, -0.63, -0.36, 0.06, -0.23999999999999996, 0.21, 0.30000000000000004, 0.21000000000000002, -0.32999999999999996, -0.57, -0.21, -0.06, -0.12, 0.03, 0.3, 0.32999999999999996], "iou": 0.7052653349919525, "pen": 0.0}, "16,3": {"x": [-0.03, 0.24, -0.72, 0.24, 0.030000000000000027, -0.44999999999999996, 0.44999999999999996, -0.09, 0.21, -0.38999999999999996, -0.27, 0.42, -0.03, -0.24, 0.63, 2.7755575615628914e-17, -0.03, 0.20999999999999996, -0.26999999999999996, 0.33, 0.05999999999999997, -0.08999999999999997, 0.36, -0.06, -0.03, 0.57, -0.36, 0.03, 0.09, -0.20999999999999996, 0.3, -0.09, 0.06, 0.0, -0.6, 0.06, 0.0, -0.15, 0.36, 0.09, 0.27, -0.63, -0.36, 0.06, -0.36, 0.0, 0.30000000000000004, 0.30000000000000004, -0.32999999999999996, -0.57, -0.09, 0.06, -0.09, -0.06, 0.42000000000000004, 0.29999999999999993], "iou": 0.7313018832490087, "pen": 0.0}, "16,4": {"x": [0.0, 0.0, -0.8999999999999999, 0.24, -0.08999999999999997, -0.20999999999999996, 0.54, -0.09, 0.6299999999999999, -0.6299999999999999, -0.69, 0.42, -0.39, 0.0, 0.69, 0.24000000000000002, 0.03, 0.08999999999999997, -0.6299999999999999, 0.33000000000000007, -0.18000000000000002, -0.08999999999999997, 0.36, -0.06, 0.18, 0.57, -0.6, 0.03, -0.15, -0.23999999999999996, 0.18, -0.20999999999999996, 0.09, 0.0, -0.6, 0.06, 0.0, 0.09, 0.32999999999999996, 0.09, 0.09000000000000002, -0.39, -0.42, 0.06, -0.36, 0.18, 0.36000000000000004, 0.33000000000000007, -0.20999999999999996, -0.44999999999999996, -0.20999999999999996, 0.18, -0.21, 0.06, 0.30000000000000004, 0.41999999999999993], "iou": 0.7706374804383048, "pen": 0.0}, "16,5": {"x": [0.03, -0.24, -0.8999999999999999, 0.48, -0.11999999999999997, 0.030000000000000027, 0.5700000000000001, -0.09, 0.6599999999999999, -0.8699999999999999, -0.69, 0.42, -0.42000000000000004, 0.0, 0.72, 0.18000000000000002, 0.06, 0.02999999999999997, -0.6599999999999999, 0.2700000000000001, -0.18000000000000002, -0.11999999999999997, 0.6, -0.12, 0.18, 0.51, -0.72, 0.27, -0.27, -0.20999999999999996, 0.3, -0.20999999999999996, 0.09, 0.06, -0.6599999999999999, 0.18, -0.06, -0.09, 0.32999999999999996, 0.03, -0.05999999999999997, -0.39, -0.69, -0.06, -0.48, 0.06, 0.30000000000000004, 0.3600000000000001, 0.39, -0.26999999999999996, -0.57, 0.12, -0.6299999999999999, 0.06, 0.30000000000000004, 0.2699999999999999], "iou": 0.7519486422650444, "pen": 0.0}, "16,6": {"x": [0.09, 0.24, -0.96, 0.48, -0.24, 0.15000000000000002, 0.54, -0.32999999999999996, 0.48, -0.3899999999999999, -0.6599999999999999, 0.18, -0.63, 0.3, 0.44999999999999996, -0.05999999999999997, 0.3, -0.27, -0.6599999999999999, 0.21000000000000008, -0.42000000000000004, -0.05999999999999997, 0.48, -0.18, 0.3, 0.27, -0.42, 0.27, -0.27, -0.20999999999999996, 0.24, -0.26999999999999996, 0.26999999999999996, 0.06, -0.5999999999999999, 0.12, -0.3, -0.09, 0.32999999999999996, -0.09, 0.18000000000000002, -0.39, -0.44999999999999996, -0.06, -0.48, 0.06, 0.12000000000000005, 0.1200000000000001, -0.08999999999999997, -0.51, -0.32999999999999996, 0.12, -0.5699999999999998, 0.12, 0.030000000000000054, 0.1799999999999999], "iou": 0.7819210572069724, "pen": 0.0}, "15,0": {"x": [-0.32999999999999996, 0.9299999999999999, -0.32999999999999996, -0.24, 0.06, -0.18, 0.12, -0.18, 0.12, 0.72, -0.39, 0.0, 0.0, -0.12, 0.15, -0.21, 0.24, 0.0, -0.24, 0.0, 0.21, 0.03, 0.24, 0.09, 0.0, 0.06, 0.06, 0.03, 0.24, 0.27, 0.06, 0.18, 0.0, 0.0, 0.0, 0.0, -0.03, 0.27, 0.24, 0.21, -0.09, -0.6300000000000001, -0.12, -0.18, -0.12, 0.3, 0.21, 0.24, -0.72, -0.48, 0.0, -0.24, 0.24, 0.24, 0.0, 0.24], "iou": 0.7944867509621405, "pen": 0.0}, "15,1": {"x": [-0.32999999999999996, 0.9299999999999999, -0.32999999999999996, -0.24, 0.3, -0.18, -0.18, -0.18, 0.12, 0.72, -0.39, -0.15, 0.21, -0.18, 0.12, -0.15, 0.21, 0.03, -0.24, 0.0, 0.21, 0.03, 0.32999999999999996, 0.03, 0.0, 0.03, 0.06, 0.06, 0.24, 0.15000000000000002, 0.06, 0.12, 0.0, 0.0, 0.0, -0.06, -0.09, 0.27, 0.15, 0.24, -0.09, -0.6300000000000001, -0.18, -0.18, -0.12, 0.3, 0.09, 0.36, -0.48, -0.54, 0.0, -0.18, 0.3, 0.24, 0.0, 0.24], "iou": 0.8041860203841669, "pen": 0.0}, "15,2": {"x": [-0.26999999999999996, 0.9299999999999999, -0.32999999999999996, -0.24, 0.24, -0.18, 0.03, -0.18, 0.12, 0.6599999999999999, -0.33, -0.15, 0.21, -0.18, 0.18, -0.15000000000000002, 0.21, 0.03, -0.24, 0.0, 0.21, -0.09, 0.38999999999999996, 0.09, 0.0, 0.09, 0.06, 0.0, 0.21, 0.15000000000000002, 0.06, 0.12, 0.0, 0.0, 0.0, -0.06, -0.09, 0.15000000000000002, 0.09, 0.15, -0.15, -0.6300000000000001, -0.12, -0.12, -0.06, 0.24, 0.18, 0.21, -0.48, -0.54, -0.06, -0.18, 0.36, 0.24, 0.06, 0.24], "iou": 0.8194031615030462, "pen": 0.0}, "15,3": {"x": [-0.51, 0.9299999999999999, -0.08999999999999997, -0.24, 0.24, -0.18, -0.03, -0.18, 0.06, 0.72, -0.33, -0.15, 0.03, -0.27, 0.21, -0.15000000000000002, 0.21, 0.03, -0.27, 0.0, 0.15, -0.03, 0.38999999999999996, 0.15, 0.0, 0.09, 0.06, 0.0, 0.09, 0.27, 0.06, 0.12, 0.0, 0.0, -0.03, 0.18, 0.15, 0.15000000000000002, -0.09, 0.18, -0.12, -0.6300000000000001, -0.15, 0.0, 0.12, 0.39, 0.0, 0.21, -0.54, -0.5700000000000001, 0.0, -0.15, 0.3, 0.27, -0.03, 0.48], "iou": 0.82584139010019, "pen": 0.0}, "15,4": {"x": [-0.51, 0.96, -0.08999999999999997, -0.44999999999999996, 0.18, -0.24, -0.03, 0.15, 0.06, 0.72, -0.39, -0.15, 0.09, -0.27, 0.09, -0.18000000000000002, 0.21, 0.15, -0.27, -0.06, -0.09, -0.09, 0.3899999999999999, -0.03, 0.0, 0.09, -0.18, 0.0, 0.09, 0.030000000000000027, 0.24, -0.06, 0.0, 0.03, -0.03, 0.18, 0.21, 0.030000000000000027, 0.09, 0.0, -0.12, -0.6300000000000001, -0.27, 0.0, 0.24, 0.39, 0.0, -0.03, -0.5700000000000001, -0.5700000000000001, 0.0, -0.15, 0.54, 0.27, 0.03, 0.24], "iou": 0.8256202955022489, "pen": 0.0}, "15,5": {"x": [-0.51, 0.99, -0.08999999999999997, -0.44999999999999996, 0.18, -0.27, -0.12, 0.12, 0.03, 0.72, -0.39, -0.27, 0.09, -0.15000000000000002, 0.18, -0.24000000000000005, 0.21, 0.39, -0.27, -0.06, -0.09, 0.03, 0.3899999999999999, -0.30000000000000004, 0.0, 0.09, -0.18, 0.06, 0.09, 0.030000000000000027, 0.24, -0.09, 0.0, 0.0, -0.06, 0.18, 0.24, 0.060000000000000026, 0.09, -0.03, -0.12, -0.6300000000000001, -0.27, 0.0, 0.24, 0.39, 0.0, -0.03, -0.5700000000000001, -0.5700000000000001, 0.03, -0.21, 0.54, 0.27, 0.12, 0.18], "iou": 0.8313665113102757, "pen": 0.0}, "15,6": {"x": [-0.51, 0.99, -0.08999999999999997, -0.44999999999999996, 0.18, -0.060000000000000026, 0.0, -0.06, 0.03, 0.72, -0.42000000000000004, -0.030000000000000027, -0.15, -0.15000000000000002, 0.27, -0.18000000000000005, 0.09, 0.51, -0.27, 0.03, -0.12, 0.09, 0.2099999999999999, -0.15000000000000005, 0.0, 0.15, -0.18, 0.0, 0.09, 0.15000000000000002, 0.24, -0.03, 0.0, 0.0, -0.06, 0.12, 0.18, 0.12000000000000002, 0.21, 0.0, -0.15, -0.7200000000000002, -0.09000000000000002, 0.15, 0.18, 0.32999999999999996, 0.06, 0.09, -0.54, -0.5700000000000001, 0.03, -0.15, 0.54, 0.27, 0.06, 0.06], "iou": 0.8345940142986381, "pen": 0.0}, "15,7": {"x": [-0.48, 0.99, -0.08999999999999997, -0.44999999999999996, 0.18, -0.060000000000000026, -0.03, -0.06, 0.03, 0.72, -0.42000000000000004, -0.030000000000000027, -0.03, -0.15000000000000002, 0.30000000000000004, -0.18000000000000005, 0.09, 0.51, -0.27, 0.03, -0.12, 0.09, 0.2099999999999999, -0.030000000000000054, 0.0, 0.15, -0.18, 0.0, 0.09, 0.15000000000000002, 0.24, -0.21000000000000002, 0.0, -0.27, -0.06, 0.09, 0.18, 0.18000000000000002, 0.21, -0.03, -0.15, -0.7500000000000002, -0.09000000000000002, 0.15, 0.18, 0.44999999999999996, 0.0, 0.15, -0.54, -0.6000000000000001, 0.03, -0.12, 0.54, 0.27, 0.0, 0.06], "iou": 0.8428637180466687, "pen": 0.0}, "15,8": {"x": [-0.48, 0.99, -0.08999999999999997, -0.44999999999999996, 0.18, -0.060000000000000026, 0.06, -0.03, 0.03, 0.72, -0.42000000000000004, -0.030000000000000027, 0.06, -0.15000000000000002, 0.27, -0.18000000000000005, 0.09, 0.51, -0.27, 0.03, -0.12, 0.09, 0.3299999999999999, -0.030000000000000054, 0.0, 0.15, -0.18, -0.12, 0.09, 0.15000000000000002, 0.24, -0.09000000000000002, -0.06, -0.39, -0.12, 0.09, 0.18, 0.18000000000000002, 0.21, 0.0, -0.15, -0.7500000000000002, -0.15000000000000002, 0.09, 0.12, 0.23999999999999996, 0.06, 0.15, -0.5700000000000001, -0.6000000000000001, 0.03, -0.12, 0.5700000000000001, 0.24000000000000002, -0.06, 0.09], "iou": 0.8431791605347365, "pen": 0.0}, "15,9": {"x": [-0.48, 1.05, -0.05999999999999997, -0.44999999999999996, 0.18, -0.15000000000000002, 0.03, 0.0, 0.03, 0.72, -0.36000000000000004, -0.09000000000000002, 0.0, -0.09000000000000002, 0.33, -0.18000000000000005, 0.09, 0.51, -0.27, 0.03, 0.0, 0.09, 0.2399999999999999, -0.09000000000000005, 0.0, 0.15, -0.18, -0.12, 0.09, 0.15000000000000002, 0.18, -0.030000000000000027, -0.06, -0.39, -0.12, 0.09, 0.18, 0.18000000000000002, 0.09, 0.0, -0.15, -0.7500000000000002, -0.15000000000000002, 0.09, 0.09, 0.17999999999999997, 0.03, 0.21, -0.5700000000000001, -0.5700000000000001, 0.03, -0.09, 0.54, 0.24000000000000002, -0.15, 0.0], "iou": 0.8438103006078947, "pen": 0.0}, "17,0": {"x": [-0.24, 0.72, -0.24, 0.0, -0.24, -0.06, -0.18, -0.8999999999999999, 0.0, 0.24, 0.0, -0.24, 0.0, 0.3, -0.06, -0.54, -0.24, 0.24, 0.0, -0.12, 0.24, 0.0, 0.06, -0.6599999999999999, 0.0, 0.48, -0.03, 0.0, -0.24, -0.12, -0.18, -0.54, 0.3, 0.09, -0.06, 0.03, -0.36, -0.12, -0.21, -0.15, -0.24, -0.03, 0.0, -0.03, 0.0, -0.06, 0.06, -0.09, 0.0, -0.48, -0.36, 0.0, -0.24, 0.06, 0.12, -0.12], "iou": 0.723985208492571, "pen": 0.0}, "17,1": {"x": [-0.84, 0.96, -0.72, 0.24, 0.12, -0.21, 0.03, -0.6599999999999999, -0.24, 1.08, -0.24, -0.06, 0.0, -0.12, 0.03, -0.54, -0.27, 1.3199999999999998, -0.3, 0.0, 0.0, -0.3, 0.06, -0.6299999999999999, 0.24, 0.48, 0.21, 0.0, -0.06, -0.24, 0.09, -0.72, 0.54, 0.57, -0.06, 0.15, -0.09, -0.15, 0.0, -0.51, 0.6599999999999999, 0.21, -0.18, -0.03, -0.15, -0.24, -0.06, -0.32999999999999996, 0.72, -0.48, -0.36, 0.0, -0.27, -0.03, 0.06, -0.12], "iou": 0.6900342633094494, "pen": 0.0}, "17,2": {"x": [-1.08, 1.2, -0.48, 0.0, 0.36, -0.24, 0.27, -0.5399999999999999, -0.24, 1.08, -0.24, -0.06, 0.15, -0.12, -0.03, -0.42000000000000004, 0.05999999999999997, 1.3499999999999999, -0.24, -0.03, -0.12, -0.3, 0.0, -0.5399999999999999, 0.24, 0.72, 0.18, -0.09, 0.15, -0.32999999999999996, 0.12, -0.6300000000000001, 0.51, 0.57, -0.03, 0.21, -0.06, -0.18, -0.03, -0.54, 0.6599999999999999, 0.18, -0.12, -0.03, -0.15, -0.24, -0.03, -0.44999999999999996, 0.72, -0.48, -0.36, -0.03, -0.24000000000000002, 0.0, 0.06, -0.27], "iou": 0.7178952704014371, "pen": 0.0}, "17,3": {"x": [-0.8400000000000001, 1.2, -0.48, -0.24, 0.36, -0.24, 0.15000000000000002, -0.11999999999999994, -0.24, 1.08, -0.12, -0.06, 0.15, -0.12, -0.15000000000000002, -0.36000000000000004, 0.05999999999999997, 1.3499999999999999, -0.18, -0.03, 0.03, -0.36, 0.03, -0.5399999999999999, 0.24, 0.44999999999999996, 0.18, -0.21, 0.15, -0.32999999999999996, -0.12, -0.5400000000000001, 0.45, 0.41999999999999993, -0.03, 0.06, 0.12, -0.36, 0.03, -0.54, 0.41999999999999993, -0.06, -0.24, -0.03, 0.09, -0.12, 0.03, -0.32999999999999996, 0.51, -0.6, -0.51, -0.03, -2.7755575615628914e-17, 0.0, 0.06, -0.15000000000000002], "iou": 0.7422128047223556, "pen": 0.0}, "17,4": {"x": [-0.6000000000000001, 1.2, -0.48, -0.48, 0.36, 0.0, 0.15000000000000002, -0.23999999999999994, -0.24, 1.08, -0.15, -0.06, 0.21, -0.12, 0.02999999999999997, -0.36000000000000004, -0.18000000000000002, 1.3499999999999999, -0.18, -0.06, 0.33000000000000007, -0.32999999999999996, -0.03, -0.5399999999999999, 0.24, 0.32999999999999996, 0.18, -0.24, 0.03, -0.44999999999999996, -0.12, -0.4500000000000002, 0.45, 0.17999999999999994, -0.03, -0.06, 0.09, -0.15, 0.15, -0.54, 0.41999999999999993, -0.06, -0.24, -0.03, -0.03, -0.12, -0.09, -0.32999999999999996, 0.51, -0.75, -0.51, 0.03, -0.12000000000000002, -0.12, -0.06, -0.27], "iou": 0.7437370550998029, "pen": 0.0}, "17,5": {"x": [-0.3600000000000001, 1.08, -0.24, -0.24, 0.12, -0.24, 0.09000000000000002, -0.17999999999999994, -0.36, 1.08, -0.18000000000000002, -0.06, 0.26999999999999996, -0.36, -0.030000000000000027, -0.12000000000000005, 0.05999999999999997, 0.8699999999999999, -0.18, -0.12, 0.33000000000000007, -0.32999999999999996, 0.06, -0.2699999999999999, 0.24, 0.08999999999999997, -0.06, -0.12, 0.03, -0.44999999999999996, -0.12, -0.3900000000000002, 0.21000000000000002, -5.551115123125783e-17, -0.27, -0.06, 0.15, -0.15, 0.15, -0.48000000000000004, 0.17999999999999994, -0.06, -0.24, -0.03, 0.09, 0.0, -0.06, -0.38999999999999996, 0.030000000000000027, -0.48, -0.33, 0.0, -0.060000000000000026, 0.06, -0.06, -0.15000000000000002], "iou": 0.7608534703313647, "pen": 0.0}, "17,6": {"x": [-0.6000000000000001, 1.08, -0.3, -0.18, 0.32999999999999996, -0.24, 0.060000000000000026, -0.32999999999999996, -0.36, 1.08, -0.18000000000000002, -0.06, 0.45000000000000007, -0.36, 0.05999999999999997, -0.45000000000000007, 0.05999999999999997, 0.6599999999999999, -0.18, -0.12, 0.2700000000000001, -0.36, 0.0, -0.2699999999999999, 0.24, 0.08999999999999997, -0.06, -0.12, 0.03, -0.44999999999999996, -0.12, -0.42000000000000015, 0.21000000000000002, 0.4799999999999999, -0.45, -0.06, 0.09, -0.27, 0.15, -0.36000000000000004, 0.17999999999999994, -0.06, -0.18, -0.03, 0.03, -0.06, 0.06, -0.29999999999999993, 0.030000000000000027, -0.51, -0.30000000000000004, 0.0, -0.030000000000000027, 0.21, 0.09, -0.15000000000000002], "iou": 0.7058515210066995, "pen": 0.0}, "18,0": {"x": [-0.6599999999999999, 0.72, -0.06, 0.0, 0.12, -0.18, 0.0, -0.12, -0.24, 0.72, -0.24, 0.0, -0.12, 0.0, 0.03, -0.12, 0.0, 0.0, 0.0, 0.24, -0.06, -0.21, -0.03, 0.24, 0.0, -0.03, 0.0, 0.0, 0.0, -0.12, 0.24, 0.09, 0.0, 0.0, 0.0, 0.24, 0.0, 0.09, 0.03, 0.12, 0.0, -0.39, 0.06, 0.15, -0.06, 0.18, 0.15, -0.06, -0.51, -0.39, 0.21, 0.12, 0.12, 0.03, 0.06, -0.18], "iou": 0.7753755998890669, "pen": 0.0}, "18,1": {"x": [-0.8999999999999999, 0.48, -0.3, -0.24, 0.3, -0.24, -0.24, -0.18, -0.24, 0.72, -0.24, -0.24, 0.12, -0.06, -0.09, -0.12, 0.0, -0.03, 0.0, 0.24, -0.03, -0.21, -0.03, 0.0, 0.0, 0.18, 0.0, 0.24, 0.0, -0.18, 0.24, -0.21000000000000002, -0.24, 0.18, 0.18, 0.3, 0.0, 0.09, 0.21, -0.12, 0.0, -0.24000000000000002, 0.06, 0.21, -0.12, 0.39, 0.18, -0.06, -0.75, -0.39, 0.44999999999999996, 0.12, 0.12, 0.27, 0.18, -0.18], "iou": 0.7778757523803418, "pen": 0.0}, "18,2": {"x": [-0.8999999999999999, 0.48, -0.3, -0.24, 0.3, -0.24, -0.3, 0.06, -0.24, 0.72, -0.24, -0.24, 0.12, -0.06, -0.09, 0.06, 0.0, -0.03, -0.24, 0.18, -0.03, -0.32999999999999996, 0.18000000000000002, 0.06, 0.0, 0.03, 0.0, 0.32999999999999996, 0.06, -0.21, 0.24, -0.33, -0.24, -0.18, 0.18, 0.30000000000000004, 0.24, 0.23999999999999996, 0.21, 0.09, -0.03, -0.24000000000000002, 0.09, 0.21, -0.09, 0.39, 0.3, -0.03, -0.72, -0.63, 0.08999999999999997, 0.0, -0.03, 0.27, 0.24, -0.18], "iou": 0.7767502969400851, "pen": 0.0}, "18,3": {"x": [-0.6599999999999999, 0.9299999999999999, -0.32999999999999996, -0.36, 0.18, 0.15, -0.18, -0.18, -0.27, 0.6599999999999999, -0.21000000000000002, -0.06, 0.15, 0.03, -0.03, 0.06, 0.0, -0.03, -0.24, 0.18, -0.03, -0.32999999999999996, 0.18000000000000002, 0.21, -0.03, -0.21, 0.09, 0.32999999999999996, 0.12, -0.21, 0.24, -0.21000000000000002, -0.24, -0.21, 0.42, 0.33000000000000007, 0.24, 0.23999999999999996, 0.15, 0.06, -0.27, -0.72, 0.18, 0.21, 0.15, 0.51, 0.3, 0.09, -0.96, -0.5700000000000001, -0.15000000000000002, 0.06, 0.03, 0.51, 0.3, -0.06], "iou": 0.7678481116281104, "pen": 0.0}, "18,4": {"x": [-0.6599999999999999, 0.69, -0.32999999999999996, -0.12, -0.03, 0.15, -0.21, -0.21, -0.27, 0.6599999999999999, -0.21000000000000002, -0.03, 0.03, 0.03, 0.03, -0.06, 0.0, -0.03, -0.24, 0.18, -0.03, -0.14999999999999997, 0.30000000000000004, -0.03, -0.03, -0.06, 0.03, 0.32999999999999996, 0.12, -0.18, 0.24, -0.42000000000000004, -0.24, -0.12, 0.42, 0.2700000000000001, 0.24, 0.14999999999999997, 0.15, -0.15, -0.27, -0.72, 0.18, 0.09, 0.39, 0.39, 0.36, 0.12, -0.96, -0.5700000000000001, -0.09000000000000002, 0.0, 0.03, 0.48, 0.3, 0.03], "iou": 0.776951619205023, "pen": 0.0}, "18,5": {"x": [-0.7799999999999999, 0.8099999999999999, -0.32999999999999996, -0.48, 0.08999999999999997, 0.15, -0.08999999999999997, -0.21, -0.27, 0.6599999999999999, -0.21000000000000002, -0.27, 0.03, -0.09, 0.15000000000000002, 0.06, 0.0, 0.21, -0.24, 0.21, -0.03, -0.17999999999999997, 0.30000000000000004, 0.03, -0.03, 0.24, 0.03, 0.32999999999999996, 0.18, -0.12, 0.24, -0.42000000000000004, -0.03, 0.09, 0.36, 0.2700000000000001, 0.24, 0.14999999999999997, 0.15, -0.21, -0.030000000000000027, -0.72, 0.27, 0.15, 0.36, 0.63, 0.36, 0.18, -0.84, -0.6900000000000001, 0.02999999999999997, 0.0, -0.09, 0.48, 0.18, 0.03], "iou": 0.74602146235935, "pen": 0.0}, "18,6": {"x": [-1.26, 0.32999999999999996, -0.32999999999999996, -0.21, 0.32999999999999996, 0.03, -0.26999999999999996, -0.15, -0.72, 0.6599999999999999, -0.24000000000000002, -0.27, -0.15, -0.09, -0.20999999999999996, 0.06, 0.0, 0.21, -0.24, 0.21, -0.15000000000000002, -0.41999999999999993, 0.18000000000000005, 0.15, -0.03, 0.21, -0.21, 0.08999999999999997, 0.12, -0.18, 0.27, -0.30000000000000004, -0.27, -0.15, 0.36, 0.18000000000000008, 0.24, 0.17999999999999997, 0.03, -0.39, -0.030000000000000027, -0.48, 0.39, 0.21, 0.24, 0.63, 0.36, -0.03, -0.72, -0.75, -0.030000000000000027, 0.0, -0.09, 0.41999999999999993, 0.42000000000000004, 0.06], "iou": 0.7881792685309956, "pen": 0.0}, "20,0": {"x": [-0.24, 0.72, 0.18, 0.24, -0.12, 0.36, 0.24, 0.0, 0.96, 0.72, 0.0, 0.03, -0.36, 0.09, -0.24, -0.36, 0.84, 0.72, -0.24, 0.0, 0.0, 0.12, 0.12, -0.42, 0.8099999999999999, 0.27, -0.24, 0.0, 0.0, 0.0, 0.12, -0.27, 0.48, -0.12, 0.0, 0.12, 0.0, -0.09, 0.27, -0.36, 0.36, -0.84, -0.24, -0.12, 0.0, -0.21, 0.03, -0.24, 0.0, -0.96, -0.48, -0.24, -0.06, -0.12, 0.06, 0.0], "iou": 0.6086479004611711, "pen": 0.0}, "20,1": {"x": [0.0, 0.3, -0.06, 0.24, 0.06, 0.36, 0.18, 0.0, 0.72, 0.6599999999999999, -0.24, 0.09, -0.36, 0.20999999999999996, 0.0, -0.18, 0.48, 0.48, -0.24, 0.0, -0.12, 0.3, -0.06, -0.3, 0.32999999999999996, 0.27, -0.24, 0.0, 0.0, 0.12, -0.06, -0.39, 0.06, -0.54, -0.06, -0.06, -0.06, -0.12, 0.12000000000000002, -0.36, -0.18, -0.84, -0.41999999999999993, -0.12, -0.30000000000000004, -0.12, -0.03, -0.21, -0.6599999999999999, -1.02, -0.48, 0.03, -0.42, -0.06, 0.0, 0.09], "iou": 0.662960084122852, "pen": 0.0}, "20,2": {"x": [0.0, 0.3, -0.03, 0.0, -0.09, 0.6, 0.06, -0.3, 0.24, 0.6599999999999999, -0.24, 0.09, -0.15, 0.20999999999999996, -0.18, -0.32999999999999996, 0.24, 0.24, -0.3, 0.0, -0.21, 0.27, -0.15, -0.12, 0.32999999999999996, 0.27, -0.24, 0.0, -0.24, 0.12, 0.0, -0.27, 0.12, -0.30000000000000004, -0.3, -0.3, -0.3, -0.12, 0.060000000000000026, -0.36, -0.18, -0.6, -0.5099999999999999, -0.12, -0.30000000000000004, -0.06, 0.0, -0.21, -0.41999999999999993, -1.02, -0.8999999999999999, 0.03, -0.32999999999999996, 0.18, 0.3, 0.09], "iou": 0.6985225867232986, "pen": 0.0}, "20,3": {"x": [-0.24, 0.6000000000000001, -0.15, -0.42, -0.09, 0.5699999999999998, 0.48, -0.3, 0.24, 0.5999999999999999, -0.24, -0.15, -0.39, 0.51, -0.09, -0.38999999999999996, 0.18, 0.32999999999999996, -0.3, 0.0, -0.44999999999999996, 0.36, -0.06, -0.18, 0.32999999999999996, 0.27, -0.24, 0.0, -0.48, 0.09, 0.03, -0.18000000000000002, -0.12, -0.30000000000000004, -0.3, -0.3, -0.32999999999999996, -0.06, 0.060000000000000026, -0.18, -0.27, -0.39, -0.4499999999999999, -0.12, -0.36000000000000004, -0.06, 0.0, -0.21, -0.41999999999999993, -1.02, -0.8999999999999999, 0.03, -0.26999999999999996, 0.39, 0.3, 0.09], "iou": 0.7405572602284619, "pen": 0.0}, "20,4": {"x": [-0.42, 0.3600000000000001, -0.21, -0.42, 0.09000000000000002, 0.5699999999999998, 0.48, -0.3, 0.24, 0.11999999999999988, -0.24, -0.15, -0.39, 0.51, -0.03, -0.38999999999999996, -0.06, 0.32999999999999996, -0.3, 0.0, -0.36, 0.12, -0.24, -0.12, -0.15000000000000002, 0.21000000000000002, 0.0, 0.0, -0.48, 0.09, -0.06, -0.060000000000000026, 0.12, -0.18000000000000005, -0.24, -0.12, -0.32999999999999996, 0.0, 0.060000000000000026, -0.15, 0.20999999999999996, -0.15000000000000002, -0.4499999999999999, 0.12, -0.36000000000000004, 0.15, 0.24, -0.18, -0.05999999999999994, -0.78, -1.14, 0.03, -0.26999999999999996, 0.39, 0.12, 0.09], "iou": 0.7302663546352324, "pen": 0.0}, "19,0": {"x": [-0.8999999999999999, 0.96, -0.12, -0.24, -0.09, -0.3, -0.06, -0.21, -0.24, 0.48, 0.0, 0.0, -0.06, -0.24, 0.06, 0.12, 0.0, 0.84, 0.0, -0.24, -0.36, -0.12, 0.12, -0.12, 0.06, 0.48, -0.24, 0.12, -0.12, 0.03, 0.48, -0.15, 0.24, 0.24, -0.24, 0.21, -0.09, 0.24, 0.36, -0.48, -0.12, -0.24, -0.36, 0.12, 0.12, 0.0, 0.44999999999999996, -0.42, -0.48, -0.75, -0.18, 0.15, 0.24, 0.09, 0.27, -0.32999999999999996], "iou": 0.8126152370922958, "pen": 0.0}, "19,1": {"x": [-0.6599999999999999, 0.96, -0.12, -0.24, 0.15, -0.32999999999999996, 0.42, -0.69, -0.24, 0.54, -0.03, 0.0, 0.0, -0.12, 0.18, -0.24, 0.0, 0.84, -0.24, -0.24, 0.0, -0.24, 0.24, -0.03, 0.06, 0.48, -0.24, 0.12, -0.24, 0.03, 0.27, -0.21, 0.24, 0.0, -0.24, 0.15, 0.03, 0.06, 0.3, -0.32999999999999996, -0.12, -0.36, -0.42, 0.12, 0.06, 0.12, 0.32999999999999996, -0.36, -0.63, -0.51, -0.3, 0.15, 0.24, 0.06, 0.27, -0.29999999999999993], "iou": 0.7845437936895824, "pen": 0.0}, "19,2": {"x": [-0.6599999999999999, 0.96, -0.12, -0.06, 0.33, -0.51, 0.12, -0.44999999999999996, -0.24, 0.78, -0.03, 0.0, -0.06, -0.12, 0.18, -0.36, 0.24, 0.84, -0.48, -0.24, 0.0, 0.0, 0.21, -0.15000000000000002, 0.3, 0.48, -0.24, 0.15, -0.3, 0.06, 0.12000000000000002, -0.38999999999999996, 0.24, -0.24, -0.48, 0.15, -0.09, 0.0, 0.36, -0.36, 0.12, -0.72, -0.39, 0.15, 0.0, 0.12, 0.32999999999999996, -0.3, -0.69, -0.51, -0.29999999999999993, -0.03, 0.12, 0.12, 0.27, -0.2699999999999999], "iou": 0.7626278894590788, "pen": 0.0}, "19,3": {"x": [-0.6599999999999999, 0.8099999999999998, -0.12, 0.06, 0.42000000000000004, -0.39, 0.24, -0.32999999999999996, -0.24, 0.78, -0.03, 0.0, -0.06, -0.12, 0.09, -0.36, -0.12, 0.78, -0.48, -0.24, -0.06, 0.0, 0.15, -0.21000000000000002, 0.3, 0.48, -0.27, 0.15, -0.3, 0.06, 0.060000000000000026, -0.20999999999999996, 0.24, -0.36, -0.48, 0.15, -0.29999999999999993, -0.24, 0.24, -0.32999999999999996, 0.06, -0.72, -0.33, 0.15, 0.0, 0.12, 0.32999999999999996, -0.18, -0.51, -0.51, -0.17999999999999994, 0.09, 0.24, 0.12, 0.39, -0.3299999999999999], "iou": 0.7881941235656315, "pen": 0.0}, "19,4": {"x": [-0.6599999999999999, 0.8099999999999998, -0.12, 0.06, 0.18000000000000005, -0.15000000000000002, 0.24, -0.44999999999999996, -0.24, 0.78, -0.03, 0.0, -0.06, -0.12, 0.0, -0.54, 0.36, 0.75, -0.48, -0.12, -0.12, 0.03, 0.03, -0.27, 0.3, 0.48, -0.33, 0.15, -0.18, 0.18, -0.05999999999999997, -0.38999999999999996, 0.27, -0.32999999999999996, -0.48, 0.15, -0.2699999999999999, 0.03, 0.41999999999999993, -0.44999999999999996, 0.3, -0.72, -0.39, 0.15, -0.32999999999999996, 0.24, 0.20999999999999996, -0.3, -0.54, -0.51, -0.3899999999999999, 0.09, 0.0, 0.15, 0.30000000000000004, -0.29999999999999993], "iou": 0.7734918793290549, "pen": 0.0}, "19,5": {"x": [-0.6599999999999999, 0.5699999999999998, 0.12, 0.06, 0.12000000000000005, -0.18000000000000002, 0.09, -0.36, -0.24, 0.78, -0.03, 0.0, -0.06, -0.36, -0.09, -0.30000000000000004, 0.0, 0.51, -0.3, -0.12, -0.12, 0.03, 0.03, -0.24000000000000002, 0.3, 0.48, -0.33, 0.0, -0.24000000000000002, 0.18, 0.24000000000000002, -0.32999999999999996, 0.27, -0.08999999999999997, -0.48, 0.27, -0.2399999999999999, 0.27, 0.41999999999999993, -0.23999999999999996, 0.06, -0.72, -0.39, 0.15, -0.32999999999999996, 0.24, 0.20999999999999996, -0.18, -0.6000000000000001, -0.51, -0.2699999999999999, -0.15, -0.06, 0.15, 0.24000000000000005, -0.2699999999999999], "iou": 0.7744221472389183, "pen": 0.0}, "19,6": {"x": [-0.8999999999999999, 0.5699999999999998, 0.12, 0.06, 0.12000000000000005, -0.18000000000000002, 0.06, 0.0, -0.27, 0.6000000000000001, -0.03, 0.15, -0.18000000000000002, -0.36, -0.06, -0.15000000000000005, -0.48, 0.75, -0.3, -0.12, -0.12, -0.18, -0.06, -0.09000000000000002, 0.3, 0.48, -0.33, 0.0, -0.24000000000000002, 0.18, 0.27, -0.20999999999999996, 0.27, -0.05999999999999997, -0.39, 0.09000000000000002, -0.059999999999999915, 0.24000000000000002, 0.41999999999999993, -0.26999999999999996, 0.06, -0.48, -0.39, 0.15, -0.08999999999999997, 0.24, 0.32999999999999996, -0.27, -0.4200000000000001, -0.63, -0.2099999999999999, 0.09, -0.12, 0.15, 0.21000000000000005, -0.2099999999999999], "iou": 0.8122827749716833, "pen": 0.0}, "21,0": {"x": [0.0, 1.2, -0.96, 0.0, -0.24, -0.24, 0.51, 0.12, 0.0, 0.48, 0.0, 0.12, 0.0, -0.12, 0.48, 0.21, 0.21, 0.24, -0.24, 0.15, 0.09, 0.0, 0.54, 0.12, 0.30000000000000004, 0.06, -0.24000000000000002, 0.15, -0.09, 0.21000000000000002, 0.44999999999999973, 0.39, 0.2699999999999999, -0.3900000000000001, -0.09, 0.24000000000000002, 0.15, 0.36, 0.9000000000000004, 0.41999999999999993, 0.09, -0.75, 0.0, 0.15, 0.3, 0.24, 0.72, 0.36, -0.15, -1.1400000000000001, -0.30000000000000004, -0.06, 0.18, 0.42, 0.6299999999999999, 0.3], "iou": 0.6024060664770284, "pen": 0.0}, "21,1": {"x": [-0.36, 1.2, -0.96, 0.0, -0.39, -0.21, 0.6599999999999999, 0.12, 0.0, 0.24, 0.0, 0.12, 0.12, -0.12, 0.72, 0.21, 0.21, 0.3, -0.18, -0.09, -0.03, 0.12, 0.45000000000000007, 0.12, 0.06000000000000005, 0.06, -0.24000000000000002, 0.03, -0.09, 0.21000000000000002, 0.44999999999999973, 0.27, -0.030000000000000082, -0.3300000000000001, -0.09, 0.18000000000000002, 0.15, 0.36, 0.9000000000000004, 0.3899999999999999, -0.03, -0.75, 0.0, 0.15, 0.3, 0.24, 0.84, 0.36, 0.15, -0.9000000000000001, -0.30000000000000004, -0.06, -0.12, 0.36, 0.6299999999999999, 0.36], "iou": 0.6732428863853672, "pen": 0.0}, "21,2": {"x": [-0.3, 1.2, -0.45000000000000007, -0.18, -0.09000000000000002, -0.38999999999999996, 0.5099999999999999, -0.12, 0.0, 0.48, 0.0, -0.27, 0.09, -0.24, 0.6000000000000001, 0.03, 0.21, 0.3, -0.18, -0.09, -0.03, 0.12, 0.33000000000000007, 0.12, -0.11999999999999994, 0.3, -0.42, 0.03, -0.15, 0.21000000000000002, 0.38999999999999974, 0.21000000000000002, 0.2099999999999999, -0.4800000000000001, -0.23999999999999996, -0.05999999999999997, 0.0, 0.12, 0.4200000000000004, 0.1499999999999999, -0.03, -0.75, 0.0, 0.18, 0.15, 0.24, 0.6, 0.36, 0.42000000000000004, -0.6300000000000001, -0.30000000000000004, -0.06, -0.39, 0.06, 0.3899999999999999, 0.27], "iou": 0.7324567258986698, "pen": 0.0}, "21,3": {"x": [-0.3, 0.96, 0.029999999999999916, -0.18, 0.02999999999999997, -0.38999999999999996, 0.5099999999999999, -0.24, 0.0, 0.3, -0.06, -0.33, -0.12, -0.24, 0.42000000000000015, -0.09, 0.06, 0.3, -0.18, -0.03, -0.09, -0.03, 0.33000000000000007, 0.06, 0.06000000000000005, 0.54, -0.5399999999999998, 0.03, -0.21, 0.21000000000000002, 0.32999999999999974, 0.21000000000000002, -0.030000000000000082, -0.6600000000000001, -0.42, 2.7755575615628914e-17, -0.12, 0.06, 0.3000000000000004, 0.1799999999999999, 0.21, -0.75, -0.18, 0.18, -0.15, 0.24, 0.45000000000000007, 0.36, 0.78, -0.6300000000000001, -0.36000000000000004, -0.18, -0.69, 0.0, 0.2699999999999999, 0.24000000000000002], "iou": 0.7628398172653102, "pen": 0.0}, "21,4": {"x": [-0.54, 0.72, 0.29999999999999993, -0.18, 0.14999999999999997, -0.44999999999999996, 0.3599999999999999, -0.48, -0.24, 0.27, -0.12, -0.54, -0.15, -0.21, 1.6653345369377348e-16, -0.11999999999999997, -0.06, 0.06, -0.27, -0.30000000000000004, -0.12, -0.03, 0.12000000000000008, 0.12, 0.06000000000000005, 0.51, -0.5399999999999998, 0.03, 0.03, 0.15000000000000002, 0.32999999999999974, 0.24000000000000002, -0.51, -0.42000000000000015, -0.48, -0.23999999999999996, -0.15, 0.0, 0.4200000000000004, 0.1799999999999999, 0.21, -0.51, -0.18, 0.12, -0.09, 0.24, 0.5700000000000001, 0.18, 0.54, -0.6300000000000001, -0.24000000000000005, -0.18, -0.8099999999999999, 0.24, 0.1499999999999999, 0.24000000000000002], "iou": 0.6559299510205552, "pen": 0.0}, "21,5": {"x": [0.17999999999999994, 0.96, 0.17999999999999994, -0.42, -0.18000000000000002, -0.69, -0.1200000000000001, -0.54, 0.27, 0.48, -0.24, -0.54, -0.33, -0.27, 0.060000000000000164, -0.27, 0.18, -0.06, -0.27, -0.42000000000000004, -0.12, 0.09, 8.326672684688674e-17, 0.06, 0.30000000000000004, 0.27, -0.5399999999999998, 0.09, -0.09, 0.27, 0.20999999999999974, 0.24000000000000002, -0.36, -0.6600000000000001, -0.69, -0.48, -0.27, 0.0, 0.39000000000000035, 0.1799999999999999, 0.44999999999999996, -0.75, 0.06, 0.12, 0.09, 0.48, 0.5700000000000001, 0.24, 0.36000000000000004, -0.5700000000000001, -0.24000000000000005, 0.0, -0.6599999999999999, 0.27, 0.3599999999999999, 0.060000000000000026], "iou": 0.6103574775100938, "pen": 0.0}, "22,0": {"x": [-0.6599999999999999, 0.72, -0.3, 0.0, 0.24, 0.24, 0.48, -0.18, -0.03, 0.24, 0.0, 0.0, 0.09, -0.06, 0.51, 0.0, -0.12, 0.12, 0.0, -0.12, 0.12, -0.09, 0.6, -0.24, 0.0, 0.24, -0.24, 0.24, 0.24, 0.0, 0.36, -0.12, -0.09, 0.03, -0.06, 0.24, 0.15, 0.0, 0.0, -0.18, -0.48, -0.24, -0.18, -0.24, -0.36, -0.24, -0.24, -0.24, -0.48, -0.24, -0.24, -0.24, -0.48, 0.0, -0.12, 0.0], "iou": 0.621242618239045, "pen": 0.0}, "22,1": {"x": [-0.41999999999999993, 0.96, -0.09, 0.0, 0.18, 0.36, 0.6300000000000001, -0.18, 0.09, 0.27, 0.27, -0.24, 0.17999999999999997, -0.03, 0.75, -0.30000000000000004, 0.3, 0.24, 0.0, -0.12, 0.06, -0.03, 0.32999999999999996, -0.24, 0.0, 0.0, 0.0, 0.24, 0.0, 0.0, 0.06, -0.12, 0.15, -0.21, -0.3, 0.0, -0.09, 0.0, 0.0, 0.03, -0.24, -0.72, -0.42, -0.24, -0.12, -0.24, 0.0, -0.12, -0.48, -0.24, -0.12, -0.24, -0.36, 0.0, 0.0, -0.24], "iou": 0.6238088013694223, "pen": 0.0}, "22,2": {"x": [0.030000000000000054, 0.48, 0.36, -0.12, 0.42000000000000004, 0.36, 0.81, 0.15, 0.09, 0.27, 0.27, -0.24, 0.17999999999999997, 0.21, 0.75, -0.06000000000000005, 0.06, 0.0, 0.0, -0.12, 0.06, 0.27, 0.32999999999999996, 0.0, -0.24, 0.03, 0.0, 0.03, -0.03, 0.24, 0.24, 0.03, -0.09, -0.27, -0.42, -0.12, 0.15000000000000002, 0.06, 0.15, 0.03, 0.24, -0.3, -0.36, -0.18, -0.24, 0.18, -0.36, 0.06, -0.24, -0.24, -0.24, -0.24, -0.3, 0.0, -0.24, 0.09], "iou": 0.771804230477833, "pen": 0.0}, "22,3": {"x": [0.87, 0.6, 0.36, -0.12, 0.30000000000000004, 0.48, 0.6900000000000001, 0.21000000000000002, 0.09, -0.20999999999999996, 0.09000000000000002, -0.24, 0.17999999999999994, 0.21, 0.75, -0.06000000000000005, -0.18, -0.15, -0.03, -0.21, 0.06, 0.12000000000000002, 0.29999999999999993, -0.06, -0.24, -0.15, 0.0, -0.03, -0.03, 0.21, 0.36, 0.03, -0.03, -0.27, -0.3, 0.0, -0.02999999999999997, 0.12, 0.21000000000000002, 0.0, 0.24, -0.3, -0.36, -0.18, -0.42, 0.18, -0.36, 0.06, -0.18, -0.18, -0.3, -0.3, -0.3, 0.06, -0.30000000000000004, 0.06], "iou": 0.8172645958978666, "pen": 0.0}, "22,4": {"x": [0.8999999999999999, 0.6599999999999999, 0.24000000000000002, -0.24, 0.30000000000000004, 0.63, 0.48, 0.21000000000000002, 0.09, -0.20999999999999996, -0.14999999999999997, -0.48, 0.29999999999999993, 0.21, 0.75, -0.06000000000000005, -0.18, 0.09, -0.39, -0.20999999999999996, 0.06, 0.18000000000000002, 0.41999999999999993, -0.03, -0.18, -0.03, -0.3, -0.09000000000000002, 0.09, 0.08999999999999997, 0.32999999999999996, 0.03, -0.03, -0.060000000000000026, -0.3, -0.12, -0.02999999999999997, 0.18, 0.09000000000000002, 0.0, 0.24, -0.06, -0.36, -0.24, -0.48, 0.12, -0.36, 0.15, -0.06, -0.06, -0.3, -0.3, -0.36, -0.06, -0.36000000000000004, 0.3], "iou": 0.7984943657978313, "pen": 0.0}, "22,5": {"x": [1.4099999999999997, 1.02, -0.15, 0.09, 0.54, 0.8699999999999999, 0.8999999999999999, 0.30000000000000004, 1.1399999999999997, 0.27, -0.4199999999999998, -0.72, 0.029999999999999943, 0.21, 1.11, 0.11999999999999994, 0.12, -0.15, -0.45, -0.20999999999999996, -0.24, 0.42000000000000004, 0.5099999999999999, -0.03, -0.18, 0.21, -0.3, -0.09000000000000002, -0.39, 0.32999999999999996, 0.32999999999999996, 0.06, -0.27, 0.23999999999999996, -0.3, -0.06, -0.02999999999999997, 0.3, 0.09000000000000002, 0.06, 0.0, 0.18, -0.12, -0.12, -0.36, 0.3, -0.39, 0.15, -0.06, -0.06, -0.3, -0.3, -0.36, 0.18, -0.42000000000000004, 0.24], "iou": 0.8105390231729043, "pen": 0.0}, "30,0": {"x": [-0.72, 0.72, 0.12, 0.12, 0.24, -0.24, 0.0, 0.0, -0.24, 0.72, 0.0, 0.06, -0.3, -0.3, 0.06, 0.03, 0.0, 0.12, 0.12, 0.0, -0.24, 0.0, 0.3, -0.24, -0.06, 0.0, 0.12, 0.0, 0.0, -0.24, 0.3, -0.24, 0.0, -0.24, 0.0, 0.48, 0.0, 0.0, -0.12, 0.0, 0.0, -0.42, -0.06, 0.0, -0.3, -0.15, 0.06, -0.18, -0.78, -0.48, -0.18, 0.03, -0.15, -0.12, 0.06, -0.21], "iou": 0.7818149048288474, "pen": 0.0}, "30,1": {"x": [-0.96, 0.51, 0.36, 0.12, 0.0, -0.48, -0.3, -0.06, -0.24, 0.48, 0.0, 0.06, -0.3, -0.42, 0.06, 0.03, -0.24, 0.36, -0.12, 0.0, -0.48, 0.0, 0.18, 0.12, -0.24000000000000002, 0.21, 0.06, 0.42, -0.03, -0.12, 0.12, -0.18, -0.18, -0.3, 0.0, 0.3, 0.0, 0.0, 0.12, 0.0, 0.0, -0.48, -0.12, 0.24, -0.3, 0.09, 0.0, -0.12, -0.54, -0.48, -0.12, 0.27, -0.15, -0.12, 0.06, -0.15], "iou": 0.7197146020199194, "pen": 0.0}, "30,2": {"x": [-0.96, 0.33, 0.36, 0.06, 0.0, -0.51, -0.36000000000000004, -0.06, -0.48, 0.54, 0.18, 0.0, -0.51, -0.41999999999999993, -0.24, -0.08999999999999997, -0.72, 0.6, -0.12, 0.0, -0.54, -0.12, 0.24, 0.06, -0.24000000000000002, 0.32999999999999996, -0.15, 0.3, -0.03, -0.03, 0.12, 0.06, -0.18, -0.18, -0.03, 0.42, -0.06, 0.12, 0.12, 0.12, 0.15, -0.48, -0.24000000000000002, 0.24, -0.44999999999999996, 0.09, -0.15, -0.15, -0.30000000000000004, -0.48, -0.12, 0.27, -0.27, -0.12, -0.03, -0.15], "iou": 0.7286968760537819, "pen": 0.0}, "30,3": {"x": [-0.72, 0.5700000000000001, 0.36, 0.06, -0.24, -0.51, -0.18000000000000005, 0.0, -0.6, 0.78, 0.18, -0.12, -0.45, -0.29999999999999993, -0.12, -0.08999999999999997, -0.48, 0.36, -0.12, 0.12, -0.51, -0.21, 0.21, 0.0, -0.15000000000000002, 0.05999999999999997, 0.03, 0.09, -0.15, -0.09, 0.12, -0.06, -0.15, -0.09, 0.03, 0.42, -0.12, 0.15, 0.12, 0.06, 0.15, -0.48, -0.24000000000000002, 0.36, -0.26999999999999996, 0.09, 0.0, -0.09, -0.06000000000000005, -0.63, -0.21, 0.63, -0.51, -0.12, -0.30000000000000004, -0.09], "iou": 0.7322889909529551, "pen": 0.0}, "30,4": {"x": [-0.72, 0.81, 0.12, 0.06, 0.12, -0.030000000000000027, 0.08999999999999994, 0.09, -0.36, 0.78, 0.15, -0.12, -0.21000000000000002, -0.29999999999999993, 0.09, -0.20999999999999996, -0.24, 0.36, -0.12, 0.06, -0.39, -0.09, 0.21, -0.06, -0.09000000000000002, 0.05999999999999994, 0.030000000000000027, 0.03, -0.15, -0.03, 0.12, -0.06, -0.15, -0.26999999999999996, 0.03, 0.18, -0.12, -0.09, 0.0, 0.06, 0.15, -0.84, -0.36, 0.24, -0.38999999999999996, -0.09, -0.3, 0.09, 0.11999999999999994, -0.66, -0.36, 0.45, -0.30000000000000004, -0.15, -0.18000000000000005, -0.38999999999999996], "iou": 0.7554424011758819, "pen": 0.0}, "33,0": {"x": [-0.48, 0.6599999999999999, 0.06, -0.12, 0.06, -0.3, -0.18, 0.42, -0.24, 0.24, 0.36, 0.48, -0.12, -0.48, 0.06, -0.06, -0.12, 0.12, 0.12, 0.24, -0.24, 0.12, 0.24, -0.24, 0.0, 0.0, 0.06, 0.24, -0.27, -0.06, 0.09, -0.24, 0.24, -0.24, 0.0, 0.12, -0.36, -0.24, -0.06, -0.18, -0.24, -0.24, 0.0, 0.0, 0.0, 0.0, -0.24, -0.27, -0.48, -0.44999999999999996, -0.21, 0.0, 0.0, 0.0, -0.03, -0.15], "iou": 0.6899056846086448, "pen": 0.0}, "33,1": {"x": [-0.48, 0.72, 0.06, -0.18, 0.24, -0.3, -0.30000000000000004, 0.36, -0.24, 0.27, 0.36, 0.44999999999999996, -0.12, -0.6000000000000001, 0.06, -0.21, -0.12, 0.12, 0.12, 0.3, -0.24, -0.12, 0.48, -0.24, 0.0, 0.0, 0.06, 0.24, -0.27, 0.0, 0.09, -0.24, 0.24, -0.24, 0.0, 0.12, -0.36, -0.18, -0.06, -0.18, -0.24, -0.24, 0.0, 0.0, 0.0, 0.03, -0.12, -0.060000000000000026, -0.51, -0.44999999999999996, -0.18, -0.24, -0.06, 0.0, -0.15, 0.0], "iou": 0.6996897338911726, "pen": 0.0}, "33,2": {"x": [-0.48, 0.75, 0.09, -0.18, 0.24, -0.29999999999999993, -0.42000000000000004, 0.32999999999999996, -0.24, 0.27, 0.36, 0.44999999999999996, -0.15, -0.6000000000000001, -0.03, -0.18, -0.12, 0.12, 0.12, 0.3, -0.06, -0.24, 0.41999999999999993, -0.36, 0.0, 0.0, 0.06, 0.48, -0.39, 0.0, 0.12, -0.44999999999999996, 0.24, -0.06, 0.0, 0.12, -0.36, -0.42, -0.18, -0.3, -0.24, -0.24, 0.0, 0.0, 0.0, -0.12, -0.27, -0.18000000000000002, -0.51, -0.44999999999999996, 0.06, -0.24, -0.06, 0.0, -0.36, 0.12], "iou": 0.7041648388718311, "pen": 0.0}, "33,3": {"x": [-0.48, 0.75, 0.09, -0.18, 0.24, -0.29999999999999993, -0.54, 0.08999999999999997, -0.24, 0.27, 0.24, 0.41999999999999993, 0.03, -0.5700000000000001, 0.0, -0.18, -0.12, 0.12, 0.12, 0.3, -0.18, -0.24, 0.41999999999999993, -0.36, 0.0, 0.0, 0.06, 0.48, -0.39, 0.0, 0.0, -0.51, 0.24, -0.12, -0.12, 0.12, -0.24, -0.3, -0.18, -0.42, -0.24, -0.24, 0.0, -0.03, 0.0, -0.12, -0.39, -0.18000000000000002, -0.51, -0.44999999999999996, 0.06, -0.24, -0.06, 0.0, -0.57, 0.12], "iou": 0.7143808946331511, "pen": 0.0}, "33,4": {"x": [-0.48, 0.75, 0.09, -0.18, 0.09, -0.5399999999999999, -0.36000000000000004, 0.41999999999999993, -0.24, 0.27, 0.24, 0.41999999999999993, 0.03, -0.5700000000000001, -0.24, -0.18, -0.12, 0.12, 0.12, 0.3, -0.18, -0.24, 0.17999999999999994, -0.48, -0.06, 0.0, 0.06, 0.48, -0.39, -0.06, 0.06, -0.51, 0.24, -0.12, -0.12, 0.12, -0.24, -0.18, -0.24, -0.29999999999999993, -0.24, -0.24, 0.0, 0.18, -0.12, -0.06, -0.27, -0.27, -0.45, -0.44999999999999996, -0.12, -0.24, -0.12, 0.06, -0.29999999999999993, 0.18], "iou": 0.7079652842174414, "pen": 0.0}, "32,0": {"x": [-0.48, 0.0, -0.18, 0.0, -0.32999999999999996, -0.15, 0.42, -0.24, -0.24, 0.0, 0.24, 0.0, -0.36, -0.36, 0.24, 0.0, -0.27, 0.36, -0.21, 0.06, -0.72, -0.12, 0.24, 0.06, 0.0, 0.24, -0.24, -0.03, -0.6000000000000001, -0.15, 0.15, 0.0, -0.15, 0.24, -0.24000000000000002, 0.0, -0.5700000000000001, -0.24, 0.12, -0.09, 0.0, 0.0, -0.06, 0.24, -0.3899999999999999, -0.24, 0.03, 0.06, -0.48, 0.0, -0.06, 0.24, -0.36, -0.39, 0.15, -0.09], "iou": 0.6869971120620789, "pen": 0.0}, "32,1": {"x": [-0.6000000000000001, -0.06, 0.09, -0.18, -0.23999999999999996, -0.45, 0.3, 0.09, -0.48, -0.24, 0.24, 0.0, -0.6, -0.48, -0.12, 0.36, -0.030000000000000027, -0.09, -0.21, -0.21, -0.96, -0.12, 0.0, 0.06, 0.0, 0.48, -0.48, -0.03, -0.7200000000000001, -0.03, -0.09, 0.0, -0.18000000000000002, 0.24, -0.42, 0.12, -0.6600000000000001, -0.12, 0.12, -0.09, -0.21, 0.24, -0.09, 0.24, -0.5399999999999999, -0.12, 0.03, -0.12, -0.72, 0.24, 0.06, 0.24, -0.48, -0.39, 0.27, -0.09], "iou": 0.6760249572171073, "pen": 0.0}, "32,2": {"x": [-0.6300000000000001, -0.3, -0.12, 0.06, -0.24, -0.6299999999999999, 0.12, 0.32999999999999996, -0.48, -0.3, 0.18, -0.12, -0.78, -0.3, -0.12, 0.54, -0.030000000000000027, 0.03, -0.44999999999999996, 0.03, -0.72, -0.18, -0.12, 0.18, 0.24, 0.54, -0.78, -0.03, -0.7500000000000002, -0.03, -0.09, 0.03, -0.060000000000000026, 0.36, -0.42, 0.06, -0.6300000000000001, -0.24, 0.0, -0.03, -0.21, 0.24, -0.09, 0.24, -0.72, -0.24, 0.03, 0.0, -0.48, 0.24, 0.0, 0.24, -0.48, -0.39, 0.27, -0.09], "iou": 0.7024000215187323, "pen": 0.0}, "32,3": {"x": [-0.6300000000000001, -0.51, -0.15, 0.06, -0.24, -0.3899999999999999, 0.12, 0.32999999999999996, -0.48, -0.3, 0.06, -0.12, -0.78, -0.54, -0.06, 0.54, -0.030000000000000027, -0.21, -0.44999999999999996, -0.09, -0.69, -0.15, -0.12, 0.32999999999999996, 0.24, 0.6000000000000001, -0.78, -0.03, -0.8100000000000003, -0.09, -0.26999999999999996, 0.09, -0.060000000000000026, 0.48, -0.42, 0.12, -0.6900000000000002, -0.18, -0.09, -0.09, -0.29999999999999993, 0.24, -0.21, 0.24, -0.6, -0.09, 0.09, 0.0, -0.54, 0.24, -0.12, 0.24, -0.42, -0.15000000000000002, 0.24000000000000002, -0.09], "iou": 0.7209709552258635, "pen": 0.0}, "32,4": {"x": [-0.9900000000000001, 0.20999999999999996, 0.08999999999999997, -0.15, -0.39, -0.41999999999999993, 0.12, 0.2399999999999999, -0.24, -0.06, 0.06, -0.12, -0.54, -0.54, 0.18, 0.30000000000000004, 0.20999999999999996, 0.03, -0.44999999999999996, -0.32999999999999996, -0.6299999999999999, -0.39, -0.12, 0.08999999999999997, 0.36, 0.72, -0.72, -0.03, -0.8100000000000003, -0.03, -0.20999999999999996, 0.12, 0.23999999999999994, 0.36, -0.5399999999999998, 0.06, -0.5700000000000002, -0.15, -0.06, -0.09, 0.12000000000000005, 0.0, -0.38999999999999996, 0.24, -0.6599999999999999, -0.09, 0.0, 0.0, -0.54, 0.0, -0.12, 0.24, -0.44999999999999996, -0.15000000000000002, 0.12000000000000002, -0.09], "iou": 0.727951166544724, "pen": 0.0}, "31,0": {"x": [-0.5700000000000001, 0.48, 0.03, 0.24, -0.27, -0.12, -0.36, -0.18, -0.15, 0.48, 0.0, -0.06, 0.06, -0.12, -0.06, -0.12, 0.0, 0.09, -0.06, -0.03, 0.12, 0.03, 0.0, -0.06, 0.0, -0.24, 0.0, 0.0, 0.0, -0.12, 0.0, 0.06, -0.24, -0.48, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, 0.0, -0.12, -0.12, 0.12, 0.24, 0.12, 0.0, 0.0, -0.3, -0.54, -0.54, 0.0, 0.24, 0.0, -0.06, 0.0], "iou": 0.7527820456302282, "pen": 0.0}, "31,1": {"x": [-0.75, 0.48, 0.09, 0.24, -0.18000000000000002, -0.12, -0.27, -0.15, -0.03, 0.48, -0.12, -0.06, 0.12, -0.18, -0.06, -0.09, 0.0, 0.09, -0.06, -0.03, 0.12, -0.09, 0.12, 0.06, 0.0, -0.18, -0.03, -0.06, 0.03, -0.06, 0.09, -0.03, -0.27, -0.48, 0.0, -0.12, -0.03, 0.0, 0.09, 0.06, 0.0, -0.12, -0.36, 0.09, 0.36, 0.15, 0.0, -0.12, -0.12, -0.66, -0.66, 0.0, 0.12, 0.18, -0.06, 0.0], "iou": 0.7692698062417385, "pen": 0.0}, "31,2": {"x": [-0.99, 0.48, 0.09, 0.0, -0.060000000000000026, 0.12, -0.09000000000000002, -0.24000000000000002, -0.03, 0.6, -0.24, -0.06, -0.12, 0.06, -0.06, -0.32999999999999996, -0.12, 0.32999999999999996, -0.18, 0.02999999999999997, 0.0, -0.09, 0.18, -0.18, -0.12, 0.06, -0.03, -0.06, 0.03, 0.06, 0.09, -0.15, -0.15000000000000002, -0.03, 0.0, -0.09, -0.15, 0.12, 0.09, -0.06, 0.0, -0.18, -0.36, 0.12, 0.12, 0.21, 0.12, -0.12, -0.06, -0.66, -0.42000000000000004, 0.0, -0.18, 0.3, -0.06, 0.03], "iou": 0.7452997700232282, "pen": 0.0}, "31,3": {"x": [-0.75, 0.54, -0.03, 0.09, -0.24000000000000005, 0.06, -0.060000000000000026, -0.30000000000000004, -0.03, 0.6, -0.24, 0.18, -0.3, 0.06, -0.03, -0.38999999999999996, 0.12, 0.08999999999999997, 0.06, -0.33, 0.0, 0.03, 0.3, -0.24, -0.12, -0.06, -0.03, -0.12, 0.03, 0.0, 0.09, -0.21000000000000002, -0.030000000000000027, -0.27, 0.0, -0.09, 0.09, 0.12, 0.20999999999999996, -0.15, 0.12, -0.42, -0.42, 0.12, 0.06, 0.21, -0.06, -0.18, -0.15, -0.9, -0.42000000000000004, 0.0, -0.21, 0.3, -0.06, 0.27], "iou": 0.7183732645842281, "pen": 0.0}, "31,4": {"x": [-0.030000000000000027, 0.6000000000000001, 0.15, -0.33, 0.029999999999999943, 0.0, 0.4799999999999999, -1.02, -0.15, 0.54, -0.18, 0.18, -0.32999999999999996, -0.18, 0.36, -0.8399999999999999, 0.06, 0.08999999999999997, -0.03, -0.060000000000000026, -0.12, -0.05999999999999997, 0.27, -0.42, -0.12, -0.3, -0.06, -0.18, -0.24, 0.0, 0.09, -0.21000000000000002, -0.12000000000000002, -0.27, -0.18, -0.15, -0.06, 0.03, 0.23999999999999996, -0.18, 0.06, -0.6599999999999999, -0.54, 0.12, -0.18, 0.18, -0.12, 0.0, -0.63, -0.8700000000000001, -0.54, 0.18, -0.33, 0.36, -0.24000000000000002, 0.39], "iou": 0.6655972971909131, "pen": 0.0}, "31,5": {"x": [-0.030000000000000027, 0.2400000000000001, 0.39, -0.6900000000000001, -0.21000000000000005, -0.24, 0.11999999999999994, -1.26, -0.15, 0.36000000000000004, 0.06, -0.09, -0.08999999999999997, -0.42, 0.3, -0.9599999999999999, -0.12, -0.15000000000000002, -0.03, -0.060000000000000026, -0.18, -0.2699999999999999, 0.27, -0.44999999999999996, -0.3, -0.36, -0.12, -0.18, -0.36, -0.3, 0.09, -0.33, -0.24, -0.30000000000000004, -0.39, -0.12, -0.48, 0.03, -0.21000000000000002, -0.12, -0.42, -0.7799999999999999, -0.6000000000000001, 0.06, -0.44999999999999996, 0.36, -0.36, 0.12, -0.27, -0.6300000000000001, -0.78, -0.06, -0.27, 0.48, -0.36000000000000004, 0.33], "iou": 0.657974560662962, "pen": 0.0}, "31,6": {"x": [-0.030000000000000027, 0.33000000000000007, 0.15000000000000002, -0.33000000000000007, 0.05999999999999994, 0.0, 0.29999999999999993, -0.75, 0.09, 0.36000000000000004, 0.06, -0.38999999999999996, 0.09000000000000002, -0.15, 0.32999999999999996, -0.6899999999999998, 0.12, 0.08999999999999997, -0.27, -2.7755575615628914e-17, -0.15, -0.2699999999999999, 0.15000000000000002, -0.5399999999999999, -0.06, -0.12, -0.09, -0.15, -0.32999999999999996, -0.21000000000000002, 0.09, -0.42000000000000004, -0.24, -0.54, -0.39, -0.12, -0.6599999999999999, 0.09, -0.21000000000000002, -0.18, -0.75, -0.84, -0.6000000000000001, 0.09, -0.3899999999999999, 0.39, -0.18, 0.39, -0.5700000000000001, -0.6300000000000001, -0.6, 0.12, -0.24000000000000002, 0.44999999999999996, -0.24000000000000002, 0.33], "iou": 0.7055505828936061, "pen": 0.0}, "34,0": {"x": [-0.48, 0.24, 0.0, 0.21, -0.36, 0.12, -0.09, 0.0, -0.24, 0.54, 0.0, -0.06, -0.24, 0.0, -0.06, 0.0, -0.24, 0.0, 0.0, -0.24, 0.09, 0.09, -0.12, 0.3, -0.24, 0.0, 0.0, -0.24, -0.06, -0.06, 0.0, 0.48, 0.0, -0.12, -0.12, -0.06, 0.0, -0.06, 0.24, 0.36, 0.0, -0.51, -0.24, 0.27, 0.0, 0.0, 0.12, 0.44999999999999996, -0.24, -0.48, -0.24, 0.0, 0.0, 0.0, 0.0, 0.48], "iou": 0.7029130322789133, "pen": 0.0}, "34,1": {"x": [-0.24, 0.27, 0.0, 0.18, -0.32999999999999996, -0.32999999999999996, 0.15, 0.06, -0.24, 0.54, -0.24, -0.06, -0.24, 0.0, 0.09, 0.09, -0.24, 0.12, 0.0, 0.0, -0.030000000000000027, 0.09, 0.0, 0.24000000000000002, -0.24, -0.24, 0.0, -0.12, -0.06, -0.06, 0.0, 0.42, 0.0, -0.12, -0.12, 0.06, 0.06, -0.06, 0.15, 0.48, 0.0, -0.51, -0.24, 0.27, 0.0, -0.21, 0.09, 0.44999999999999996, -0.36, -0.63, -0.30000000000000004, 0.12, 0.12, 0.0, 0.06, 0.48], "iou": 0.6960109887270699, "pen": 0.0}, "34,2": {"x": [0.0, 0.51, -0.24, -0.06, -0.36, -0.32999999999999996, 0.21000000000000002, 0.06, -0.12, 0.54, -0.36, -0.06, -0.24, -0.24, 0.09, 0.09, -0.09, 0.06, 0.0, -0.06, -0.09000000000000002, 0.03, -0.03, 0.3, 0.0, -0.48, 0.0, -0.12, -0.12, -0.12, -0.06, 0.48, 0.0, -0.12, -0.12, 0.12, 0.03, -0.32999999999999996, 0.15, 0.44999999999999996, -0.12, -0.5700000000000001, -0.27, 0.30000000000000004, -0.18, -0.32999999999999996, 0.09, 0.44999999999999996, -0.36, -0.63, -0.30000000000000004, 0.12, 0.12, 0.0, -0.06, 0.48], "iou": 0.6892024096827107, "pen": 0.0}, "34,3": {"x": [-0.36, 0.75, -0.06, -0.06, -0.36, -0.20999999999999996, 0.27, -0.06, 0.12, 0.54, -0.12, -0.06, -0.24, -0.24, 0.15, 0.08999999999999997, 0.12, 0.03, 0.03, -0.06, -0.09000000000000002, -0.08999999999999997, 0.12, 0.54, 0.0, -0.48, 0.0, -0.09, -0.12, -0.12, 0.0, 0.72, 0.0, -0.12, -0.12, 0.12, 0.03, -0.32999999999999996, 0.03, 0.44999999999999996, -0.15, -0.5700000000000001, -0.12000000000000002, 0.30000000000000004, -0.12, -0.14999999999999997, 0.0, 0.29999999999999993, -0.36, -0.63, -0.30000000000000004, 0.12, 0.06, -0.03, -0.06, 0.36], "iou": 0.7121744013110918, "pen": 0.0}, "34,4": {"x": [-0.75, 0.75, -0.09, -0.24, -0.12, -0.26999999999999996, 0.21000000000000002, 0.09, -0.12, 0.54, -0.12, -0.06, -0.24, -0.24, 0.15, 0.11999999999999997, -0.12, 0.03, 0.03, -0.24, -0.12000000000000002, -0.14999999999999997, 0.24, 0.30000000000000004, 0.0, -0.48, 0.03, -0.09, -0.36, -0.12, 0.09, 0.72, -0.15, -0.36, -0.12, -0.06, -0.15, -0.26999999999999996, 0.18000000000000002, 0.44999999999999996, -0.39, -0.5700000000000001, -0.12000000000000002, 0.06000000000000005, -0.12, -0.14999999999999997, -0.06, 0.4799999999999999, -0.36, -0.63, -0.30000000000000004, 0.24, 0.06, 0.14999999999999997, 0.0, 0.54], "iou": 0.7022445006446231, "pen": 0.0}, "25,0": {"x": [-0.6, 0.72, -0.36, 0.24, 0.12, 0.24, -0.24, 0.0, 0.0, 0.24, -0.24, 0.24, 0.6, 0.24, 0.24, 0.06, 0.48, 0.0, 0.6, 0.0, -0.06, 0.3, -0.06, 0.36, 0.24, 0.6599999999999999, 0.96, -0.24, -0.03, -0.18, -0.24, -0.12, 0.24, 0.0, 0.0, 0.0, 0.0, -0.06, 0.09, -0.18, 0.0, -0.48, -0.06, -0.06, 0.0, -0.06, 0.0, -0.18, -0.24, -0.48, -0.24, -0.24, 0.0, -0.09, -0.06, -0.12], "iou": 0.5733935226109358, "pen": 0.0, "hpen": 0.42436818635062773}, "26,0": {"x": [-0.54, 0.72, -0.72, 0.24, -0.42, 0.24, -0.06, 0.09, 0.21, 0.48, 0.0, 0.27, 0.0, 0.24, 0.18, 0.48, 0.48, 0.6, 0.0, 0.24, 0.12, 0.0, 0.24, 0.12, 1.2, 0.36, -0.21, 0.0, -0.30000000000000004, -0.12, 0.03, -0.18, 0.72, -0.06, 0.0, 0.0, 0.0, -0.36, 0.24, -0.48, -0.24, -0.72, -0.24, 0.0, -0.24, -0.24, -0.06, -0.48, 0.0, -0.72, -0.24, -0.24, 0.0, -0.15, -0.09, -0.6599999999999999], "iou": 0.6632269203100624, "pen": 0.0, "hpen": 1.6390820197189044}, "26,1": {"x": [-0.9299999999999999, 0.72, -0.6, 0.36, -0.18, 0.24, 0.03, 0.32999999999999996, 0.27, 0.72, 0.0, 0.15000000000000002, 0.18, 0.3, 0.24, 0.69, 0.96, 0.6, 0.0, 0.24, -0.12, 0.15, 0.12, 0.36, 1.44, 0.36, -0.21, 0.0, -0.30000000000000004, -0.24, 0.27, -0.18, 0.72, 0.06, 0.06, 0.12, 0.0, -0.51, 0.41999999999999993, -0.36, -0.12, -0.48, -0.06, 0.12, -0.12, -0.24, 0.09, -0.32999999999999996, -0.06, -1.08, -0.24, -0.15, -0.06, -0.18, -0.12, -0.41999999999999993], "iou": 0.6365771512889279, "pen": 0.0, "hpen": 0.5499115676097459}, "26,2": {"x": [-0.99, 0.42, -0.24, 0.12, 5.551115123125783e-17, 0.18, 0.06, 0.45, 0.030000000000000027, 0.36, 0.12, -0.08999999999999997, 0.18, 0.18, 0.15, 0.69, 0.72, 0.36, 0.0, 0.0, -0.32999999999999996, -0.09, 0.3, 0.15, 0.72, 0.36, 0.03, 0.0, -0.30000000000000004, -0.36, 0.21000000000000002, -0.18, 0.24, 0.06, 0.06, 0.12, 0.0, -0.51, 0.17999999999999994, -0.36, -0.12, -0.48, -0.12, 0.12, 0.18, -0.24, 0.15, -0.17999999999999997, -0.36000000000000004, -0.6000000000000001, -0.3, -0.06, -0.03, -0.21, -0.09, -0.20999999999999994], "iou": 0.6979512750316009, "pen": 0.0, "hpen": 0.32767249911350765}, "26,3": {"x": [-0.030000000000000027, 0.18, 0.03, 0.12, -0.17999999999999994, -0.09, 0.03, 0.6900000000000002, -0.20999999999999996, 0.6, 0.12, -0.08999999999999997, 0.18, -0.06, -0.09, 0.48, 0.24, 0.6, 0.0, -0.18, -0.08999999999999997, -0.15, 0.06, 0.06, 0.24, 0.12, -0.03, -0.27, -0.24000000000000002, -0.39, 0.030000000000000027, -0.15, 0.24, 0.06, -0.18, -0.12, -0.06, -0.39, -5.551115123125783e-17, -0.12, -0.24, -0.48, -0.3, -0.06, 0.06, -0.24, -0.03, -0.14999999999999997, -0.4800000000000001, -0.4800000000000001, -0.3, -0.06, 0.09, -0.21, -0.09, -0.14999999999999994], "iou": 0.6809735377907722, "pen": 0.0, "hpen": 0.0}, "26,4": {"x": [-0.27, 0.6299999999999999, 0.48, 0.06, -0.3899999999999999, -0.14999999999999997, 0.0, 0.8100000000000002, 0.030000000000000027, 0.6, 0.12, -0.08999999999999997, -0.12, 0.0, -0.12, 0.24, 0.24, 0.6, 0.24, -0.18, -0.20999999999999996, -0.15, -0.06, -0.09, 0.48, 0.15, -0.03, -0.15000000000000002, -0.12000000000000002, -0.39, 2.7755575615628914e-17, -0.18, 0.24, 0.06, -0.18, -0.12, -0.06, -0.39, -5.551115123125783e-17, -0.36, -0.24, -0.72, -0.32999999999999996, -0.06, -0.06, -0.24, 0.0, -0.20999999999999996, -0.4800000000000001, -0.2400000000000001, -0.3, -0.06, -0.12, -0.23999999999999996, -0.03, -0.20999999999999994], "iou": 0.6407701921663611, "pen": 0.0, "hpen": 0.14598545556699744}, "23,0": {"x": [-0.24, 0.72, -0.21, 0.06, -0.03, -0.21, 0.03, -0.06, -0.21, 0.48, -0.27, 0.06, 0.03, -0.15, 0.06, -0.06, 0.12, 0.18, -0.32999999999999996, 0.0, 0.12, -0.12, 0.09, -0.06, 1.02, -0.24, -0.24, -0.24, 0.12, -0.15, 0.06, 0.12, 0.96, -0.24, 0.0, -0.24, -0.12, -0.12, -0.24, 0.12, 0.0, -0.48, 0.0, -0.24, 0.0, -0.24, 0.24, -0.24, -0.24, -0.48, -0.24, -0.48, -0.24, -0.24, 0.06, -0.12], "iou": 0.5578645919177502, "pen": 0.0, "hpen": 6.228044365720754}, "23,1": {"x": [-0.24, 0.87, -0.36, 0.09, -0.03, -0.15, 0.03, -0.06, -0.12, 0.6000000000000001, -0.30000000000000004, 0.06, 0.0, -0.12, 0.06, -0.06, 0.27, 0.18, -0.32999999999999996, 0.06, 0.03, -0.12, 0.06, -0.06, 1.02, -0.24, -0.18, -0.48, 0.12, 0.09, 0.0, -0.06, 1.02, 0.03, 0.0, -0.48, -0.18, -0.15, -0.18, 0.12, 0.03, -0.51, 0.0, -0.27, 0.0, -0.24, 0.21, -0.09, -0.15, -0.5700000000000001, -0.21, -0.44999999999999996, -0.27, -0.21, -0.06, -0.09], "iou": 0.5791681920022296, "pen": 0.0, "hpen": 7.4126112961693496}, "23,2": {"x": [-0.36, 0.87, -0.36, 0.21, -0.03, -0.12, 0.03, -0.09, -0.12, 0.6600000000000001, -0.30000000000000004, 0.12, -0.03, -0.12, 0.06, -0.15, 0.39, 0.42, -0.08999999999999997, 0.18, -0.03, -0.18, 0.06, -0.3, 1.02, -0.24, -0.18, -0.48, 0.12, -0.09, 0.0, -0.12, 1.02, -0.06, 0.21, -0.36, -0.42, -0.21000000000000002, -0.18, 0.0, 0.24000000000000002, -0.63, -0.21, -0.27, -0.44999999999999996, -0.24, -0.18000000000000002, 0.03, 0.44999999999999996, -1.29, -0.21, -0.20999999999999996, -0.39, 0.03, -0.30000000000000004, 0.21], "iou": 0.6721517642387207, "pen": 0.0, "hpen": 4.9763147242485495}, "23,3": {"x": [-0.29999999999999993, 1.29, -0.29999999999999993, 0.36, 0.0, -0.12, -0.06, -0.06, -0.24, 0.6900000000000002, -0.30000000000000004, 0.09, 0.03, -0.12, 0.03, -0.15, 0.27, 0.42, -0.20999999999999996, 0.18, 0.09, -0.18, 0.03, -0.12, 1.02, -0.24, -0.18, -0.48, 0.12, -0.09, -0.06, 0.03, 1.02, -0.06, 0.21, -0.12, -0.54, -0.45, -0.06, 0.06, 0.36, -0.75, -0.21, -0.27, -0.57, -0.3, -0.18000000000000002, 0.09, 0.51, -1.29, -0.21, -0.20999999999999996, -0.63, 0.15, -0.24000000000000005, 0.21], "iou": 0.6624316232630333, "pen": 0.0, "hpen": 2.259827661173744}, "23,4": {"x": [-0.11999999999999994, 1.29, -0.29999999999999993, 0.12, 0.0, -0.06, 0.32999999999999996, -0.5700000000000001, -0.18, 0.9300000000000002, -0.30000000000000004, 0.03, 0.09, -0.12, 0.15000000000000002, -0.27, 0.27, 0.48, -0.26999999999999996, 0.18, 0.09, -0.18, 0.03, -0.06, 1.02, -0.24, -0.18, -0.24, 0.12, -0.09, 0.0, 0.09, 1.02, 0.0, 0.21, -0.32999999999999996, -0.54, -0.45, -0.12, 0.06, 0.36, -0.6599999999999999, -0.21, -0.33, -0.6299999999999999, -0.3, -0.18000000000000002, 0.09, 0.51, -1.29, -0.30000000000000004, -0.20999999999999996, -0.5700000000000001, 0.21, -0.12000000000000005, 0.26999999999999996], "iou": 0.648961597305259, "pen": 0.0, "hpen": 1.3349664560458894}, "24,0": {"x": [-0.96, 0.24, -0.24, 0.48, -0.24, 0.12, -0.32999999999999996, 0.48, -0.36, 0.51, -0.03, 0.48, -0.24, 0.24, -0.24, 0.24, 0.24, 0.12, 0.24, 0.24, -0.21, 0.12, -0.12, 0.06, 0.48, -0.24, 0.24, 0.0, -0.24, 0.0, -0.42, 0.18, 0.96, -0.72, 0.0, -0.24, -0.24, -0.27, -0.72, 0.12, 0.6599999999999999, -0.72, -0.24, -0.18, -0.24, -0.39, -0.3, -0.06, 0.36, -1.44, -0.48, 0.12, -0.3, -0.06, -0.42, -0.09], "iou": 0.6482443040223016, "pen": 0.0, "hpen": 2.607330759478036}, "24,1": {"x": [-1.2, 0.24, -0.30000000000000004, 0.48, -0.24, 0.24, -0.20999999999999996, 0.42, -0.63, 0.51, -0.06, 0.6, -0.21, 0.27, -0.24000000000000002, 0.3, 0.03, 0.36, 0.21, 0.48, -0.09, 0.36, -0.06, 0.15, 0.72, 0.0, 0.24, 0.0, -0.24, -0.03, -0.42, 0.24, 1.2, -0.72, 0.0, -0.24, -0.48, -0.5700000000000001, -0.96, 0.15, 0.96, -0.78, -0.3, -0.18, -0.24, -0.45, -0.6300000000000001, -0.06, 0.24, -1.44, -0.42, 0.12, -0.3, -0.12, -0.6000000000000001, -0.09], "iou": 0.7105671891232705, "pen": 0.0, "hpen": 0.0}, "24,2": {"x": [-1.2, 0.09, -0.51, 0.24, -0.24, 0.44999999999999996, -0.08999999999999997, 0.12, -0.84, 0.51, -0.09, 0.6, -0.21, 0.27, -0.24000000000000002, 0.06, 0.15000000000000002, 0.36, -0.03, 0.48, -0.09, 0.36, -0.3, 0.15, 0.6599999999999999, -0.06, 0.3, -0.03, -0.24, -0.03, -0.42, 0.36, 1.26, -0.72, 0.0, -0.24, -0.48, -0.5700000000000001, -1.02, 0.39, 0.75, -0.75, -0.3, -0.18, -0.24, -0.45, -0.42000000000000015, 0.24000000000000002, 0.8400000000000001, -1.2, -0.42, 0.12, -0.36, -0.3, -0.54, 0.15000000000000002], "iou": 0.7361181475146845, "pen": 0.0, "hpen": 0.6867798581677125}, "24,3": {"x": [-1.2, 0.23999999999999996, -0.27, 0.36, -0.48, 0.41999999999999993, -0.05999999999999997, 0.21, -0.6599999999999999, 0.54, -0.21, 0.51, -0.21, 0.24000000000000002, -0.21000000000000002, 0.12, 0.39, 0.36, -0.03, 0.48, -0.09, 0.12, -0.3, 0.21000000000000002, 0.6599999999999999, -0.06, 0.3, 0.24000000000000002, -0.24, 0.09, -0.3, 0.6000000000000001, 1.26, -0.72, 0.0, -0.24, -0.51, -0.6000000000000001, -1.1400000000000001, 0.39, 0.99, -0.87, -0.3, -0.18, -0.24, -0.45, -0.6600000000000001, 0.21000000000000002, 1.02, -1.2, -0.42, 0.03, -0.54, -0.45000000000000007, -0.48000000000000004, 0.15000000000000002], "iou": 0.7451450818802374, "pen": 0.0, "hpen": 0.0}, "24,4": {"x": [-1.26, 0.23999999999999996, -0.030000000000000027, 0.3, -0.3, 0.41999999999999993, -0.11999999999999997, 0.24000000000000002, -0.72, 0.54, 0.03, 0.51, -0.03, 0.24000000000000002, -0.21000000000000002, 0.12, 0.39, 0.36, 0.21, 0.24, -0.09, 0.12, -0.24, 0.27, 0.6599999999999999, -0.06, 0.18, 0.12000000000000002, -0.03, 0.0, -0.48000000000000004, 0.6000000000000001, 1.26, -0.72, 0.0, -0.24, -0.51, -0.6000000000000001, -1.3800000000000001, 0.51, 0.99, -0.9, -0.3, -0.18, -0.21, -0.45, -0.7800000000000001, 0.15000000000000002, 0.81, -1.44, -0.48, 0.12000000000000002, -0.44999999999999996, -0.33000000000000007, -0.51, 0.21000000000000002], "iou": 0.7059861510910987, "pen": 0.0, "hpen": 0.0}, "27,0": {"x": [-0.42, 0.72, -0.06, 0.24, 0.0, 0.24, 0.24, -0.18, -0.3, 1.2, 0.42, 0.24, 0.3, -0.24, 0.15, -0.6, 0.24, 0.72, 0.3, 0.12, -0.09, 0.0, 0.18, -0.48, 0.06, 0.36, 0.36, 0.12, 0.12, -0.24, 0.18, -0.3, -0.18, -0.24, 0.12, 0.0, 0.12, -0.24, 0.12, -0.36, -0.24, -0.72, 0.0, -0.24, 0.12, -0.12, 0.0, -0.24, -0.72, -0.72, -0.24, -0.24, 0.0, 0.0, -0.12, -0.24], "iou": 0.6676243665436994, "pen": 0.0, "hpen": 0.9712526503421729}, "27,1": {"x": [-0.69, 0.96, -0.06, 0.24, 0.24, 0.18, 0.03, -0.33000000000000007, -0.3, 1.2, 0.42, 0.24, 0.03, 0.0, 0.27, -0.8099999999999999, 0.24, 0.72, 0.3, 0.12, -0.09, -0.03, 0.03, -0.48, 0.18, 0.36, 0.18, 0.12, 0.0, -0.3, 0.18, -0.18, 0.0, -0.15, 0.15, 0.03, 0.12, -0.24, 0.15, -0.18, -0.24, -0.75, 0.0, -0.18, 0.12, -0.12, 0.0, -0.18, -0.51, -0.72, -0.24, -0.24, 0.15, 0.0, -0.09, -0.24], "iou": 0.718787285890625, "pen": 0.0, "hpen": 0.0}, "27,2": {"x": [-0.75, 0.96, -0.06, 0.3, 0.24, 0.18, -0.15, -0.39000000000000007, -0.18, 1.2, 0.18, 0.24, 0.18000000000000002, 0.0, 0.30000000000000004, -0.69, 0.24, 0.72, 0.42, 0.12, -0.06, -0.06, 0.03, -0.24, 0.3, 0.36, 0.3, 0.12, 0.0, -0.27, 0.24000000000000002, -0.18, 0.0, -0.15, 0.12, 0.27, 0.21, -0.24, 0.15, -0.24, -0.12, -0.75, -0.12, -0.18, 0.12, -0.12, 0.0, -0.18, -0.51, -0.72, -0.3, -0.36, 0.09000000000000002, -0.06, -0.02999999999999997, -0.12], "iou": 0.6912719945975129, "pen": 0.0, "hpen": 0.0}, "27,3": {"x": [-0.99, 0.96, -0.06, 0.42, 0.12, 0.18, -0.03, -0.5100000000000001, -0.18, 1.2, 0.18, 0.42, 0.09000000000000002, -0.18, 0.42000000000000004, -0.8099999999999999, 0.48, 0.72, 0.18, 0.36, -0.27, -0.21, 0.21000000000000002, -0.54, 0.54, 0.36, 0.27, 0.12, 0.0, -0.24000000000000002, 0.12000000000000002, -0.32999999999999996, 0.06, -0.15, 0.12, 0.27, 0.24000000000000002, -0.21, 0.21, -0.27, 0.0, -0.63, -0.12, 0.0, 0.18, -0.12, 0.18, -0.18, -0.51, -0.84, -0.3, -0.12, 0.15000000000000002, -0.06, 0.15000000000000002, -0.12], "iou": 0.7085215177331736, "pen": 0.0, "hpen": 0.016280386943357338}, "27,4": {"x": [-0.42000000000000004, 0.72, -0.06, 0.42, 0.12, 0.18, -0.12, -0.6000000000000001, -0.18, 0.96, 0.3, 0.3, -0.08999999999999997, 0.0, 0.06000000000000005, -0.8099999999999999, 0.24, 0.72, 0.18, 0.12, -0.030000000000000027, 0.03, -0.02999999999999997, -0.72, 0.12000000000000005, 0.36, 0.27, 0.12, -0.06, -0.24000000000000002, 0.18000000000000002, -0.51, -0.06, -0.15, 0.12, 0.030000000000000027, 0.18000000000000002, -0.27, 0.21000000000000002, -0.30000000000000004, -0.24, -0.69, -0.21, -0.03, 0.15, -0.18, 0.18, -0.18, -0.51, -0.84, -0.42000000000000004, -0.03, 0.12000000000000002, -0.12, 0.15000000000000002, -0.12], "iou": 0.6668215818789938, "pen": 0.0, "hpen": 0.6100322205968428}, "29,0": {"x": [-1.08, 0.84, -0.48, 0.21, -0.06, 0.0, 0.24, 0.12, 0.0, 0.72, -0.44999999999999996, 0.06, 0.12, 0.06, 0.32999999999999996, 0.48, 0.12, 0.84, -0.27, 0.27, -0.09, 0.18, 0.24, 0.54, 0.24, 0.24, -0.27, 0.12, -0.15, 0.12, 0.18, 0.48, 0.6, -0.21, -0.36, 0.18, -0.24, 0.03, 0.18, 0.51, 0.42, -0.96, -0.48, -0.24, -0.48, -0.12, 0.24, 0.6599999999999999, 0.9299999999999999, -0.96, -0.48, -0.24, -0.24, -0.24, 0.12, 0.24], "iou": 0.6687955238658372, "pen": 0.0, "hpen": 8.835700658331893}, "29,1": {"x": [-1.23, 0.84, -0.54, 0.15, -0.06, -0.18, 0.12, 0.24, -0.03, 0.72, -0.41999999999999993, 0.06, 0.06, 0.03, 0.26999999999999996, 0.32999999999999996, 0.09, 0.57, -0.36, 0.21000000000000002, -0.06, 0.18, 0.24, 0.42000000000000004, 0.39, 0.3, -0.27, 0.15, -0.12, 0.15, 0.18, 0.44999999999999996, 0.48, 0.0, -0.24, 0.15, -0.21, 0.15, 0.18, 0.51, 0.6599999999999999, -0.96, -0.48, -0.24, -0.48, 0.06, 0.3, 0.5999999999999999, 1.17, -0.96, -0.48, -0.24, -0.24, -0.24, 0.12, 0.24], "iou": 0.6545579003814673, "pen": 0.0, "hpen": 7.791610863052518}, "29,2": {"x": [-0.78, 1.08, -0.06000000000000005, -0.12, 0.18, -0.18, 0.15, 0.12, -0.24000000000000002, 0.84, -0.29999999999999993, 0.18, -0.06, -0.21, 0.26999999999999996, 0.32999999999999996, 0.09, 0.57, -0.36, 0.21000000000000002, -0.06, -0.06, 0.24, 0.30000000000000004, 0.15000000000000002, 0.06, -0.39, 0.15, -0.12, 0.15, 0.18, 0.32999999999999996, 0.48, -0.54, -0.24, -0.23999999999999996, -0.21, 0.09, 0.18, 0.63, 0.6599999999999999, -0.75, -0.48, -0.24, -0.48, -0.12, 0.27, 0.5999999999999999, 0.26999999999999996, -0.6, -0.54, -0.3, -0.18, -0.06, 0.12, 0.36], "iou": 0.5943674638844108, "pen": 0.0, "hpen": 2.370853213000593}, "29,3": {"x": [0.05999999999999994, 1.3200000000000003, -0.18000000000000005, 0.12, 0.18, -0.21, 0.36, 0.09, -0.21000000000000002, 0.84, -0.14999999999999994, 0.18, 0.42, -0.21, 0.51, 0.08999999999999997, 0.15, 0.08999999999999997, -0.36, 0.18000000000000002, 0.06, -0.24, 0.44999999999999996, 0.18000000000000005, 0.24000000000000002, -0.42, -0.42000000000000004, 0.15, -0.18, -0.09, 0.20999999999999994, 0.29999999999999993, 0.36, -1.02, -0.51, -0.17999999999999997, -0.26999999999999996, -0.18000000000000002, 0.18, 0.36, -0.09000000000000005, -0.75, -0.44999999999999996, -0.24, -0.24, -0.24, 0.12000000000000002, 0.4199999999999999, -0.21000000000000002, -0.36, -0.78, -0.18, -0.18, -0.18, 0.36, 0.27], "iou": 0.5938822388103644, "pen": 0.0, "hpen": 1.7212135006151532}, "29,4": {"x": [-0.30000000000000004, 1.3200000000000003, -0.42000000000000004, 0.12, 0.42, -0.21, 0.48, -0.15000000000000002, -0.44999999999999996, 1.08, -0.14999999999999994, 0.18, 0.42, -0.44999999999999996, 0.51, -0.030000000000000027, -0.09, 0.32999999999999996, -0.36, 0.42000000000000004, 0.3, -0.24, 0.48, 0.24000000000000005, 0.12000000000000002, -0.66, -0.30000000000000004, 0.27, 0.15, 0.03, 0.20999999999999996, 0.44999999999999996, 0.36, -1.02, -0.51, 0.060000000000000026, -0.14999999999999997, -0.18000000000000002, -0.18, 0.36, 0.14999999999999994, -0.75, -0.20999999999999996, -0.24, -0.24, -0.24, -0.32999999999999996, 0.4199999999999999, -0.39, -0.39, -0.39, -0.18, -0.15, -0.18, -0.06, 0.33], "iou": 0.6570057831138725, "pen": 0.0, "hpen": 1.3672554382177382}, "28,0": {"x": [-1.08, 0.36, -0.24, 0.12, -0.36, -0.24, 0.24, 0.24, -0.72, 0.24, 0.0, 0.12, -0.24, -0.12, 0.18, 0.36, -0.36, 0.21, 0.0, 0.06, -0.12, -0.15, 0.3, 0.24, 0.0, 0.0, 0.15, 0.03, 0.0, -0.27, 0.48, 0.15, -0.27, -0.72, 0.24, 0.03, 0.18, -0.21, 0.24, 0.18, 0.24, -0.96, 0.0, 0.24, 0.24, 0.0, -0.12, 0.21, -0.24, -0.96, -0.12, 0.0, 0.12, -0.24, 0.0, 0.24], "iou": 0.6697302745021088, "pen": 0.0, "hpen": 4.213355796210285}, "28,1": {"x": [-0.9000000000000001, 0.6, -0.41999999999999993, 0.12, -0.32999999999999996, -0.24, 0.21, 0.21, -0.44999999999999996, 0.48, -0.21, 0.15, -0.21, -0.3, 0.21, 0.36, 0.0, 0.21, 0.12, 0.06, 0.0, -0.39, 0.18, 0.36, 0.0, -0.24, 0.33, 0.03, 0.12, -0.27, 0.24, 0.15000000000000002, -0.12000000000000002, -0.72, 0.0, 0.03, 0.24, -0.15, 0.0, 0.18, 0.24, -1.2, -0.24, 0.24, 0.12, 0.0, -0.36, 0.38999999999999996, -0.24, -0.96, -0.12, 0.0, 0.12, -0.24, -0.24, 0.48], "iou": 0.6792354647454039, "pen": 0.0, "hpen": 2.8712897231020627}, "28,2": {"x": [-1.1400000000000001, 0.12, -0.41999999999999993, 0.12, -0.32999999999999996, -0.3, 0.26999999999999996, 0.03, -0.6299999999999999, 0.6, -0.21, -0.08999999999999997, -0.15, -0.39, 0.24, 0.12, -0.3, 0.69, 0.09, 0.06, 0.12, -0.39, 0.36, 0.36, 0.0, 0.18, 0.09000000000000002, 0.09, 0.32999999999999996, -0.15000000000000002, 0.18, 0.39, -0.030000000000000027, -0.57, 0.29999999999999993, 0.36, 0.24, -0.03, 0.03, 0.32999999999999996, 0.0, -0.96, 0.57, 0.48, 0.48, 0.0, -0.27, 0.26999999999999996, 0.12, -0.96, 0.36, 0.32999999999999996, 0.12, -0.06, -0.24, 0.48000000000000004], "iou": 0.6918896928017477, "pen": 0.0, "hpen": 2.219652635025481}, "28,3": {"x": [-1.1400000000000001, 0.12, -0.41999999999999993, 0.12, -0.38999999999999996, -0.24, 0.29999999999999993, 0.03, -0.8699999999999999, 0.6, -0.44999999999999996, -0.08999999999999997, -0.15, -0.45, 0.12, 0.12, -0.21, 0.69, -0.12, 0.06, 0.06, -0.39, 0.36, 0.36, 0.0, 0.18, 0.30000000000000004, 0.12, 0.17999999999999997, -2.7755575615628914e-17, 0.24, 0.36, -0.030000000000000027, -0.57, 0.41999999999999993, 0.3, 0.3, 0.03, -0.09, 0.32999999999999996, 0.0, -0.72, 0.57, 0.48, 0.48, 0.0, -0.27, 0.14999999999999997, 0.12, -0.72, 0.36, 0.08999999999999997, 0.15, 0.06, -0.36, 0.36000000000000004], "iou": 0.7113488418135073, "pen": 0.0, "hpen": 2.088434080429959}, "28,4": {"x": [-1.1700000000000002, 0.18, -0.4799999999999999, 0.09, -0.2699999999999999, -0.24, 0.29999999999999993, 0.09, -0.8999999999999999, 0.6, -0.41999999999999993, -0.08999999999999997, -0.21, -0.24000000000000002, 0.12, 0.15, -0.26999999999999996, 0.69, -0.12, 0.12, 0.18, -0.27, 0.42, 0.24, 0.06, 0.12, 0.36000000000000004, 0.18, 0.14999999999999997, 0.11999999999999997, 0.27, 0.36, 0.44999999999999996, -0.78, -5.551115123125783e-17, 0.63, 0.27, 0.30000000000000004, -0.09, 0.41999999999999993, 0.24, -0.84, 0.44999999999999996, 0.48, 0.48, 0.24, -0.15000000000000002, 0.20999999999999996, 0.12, -0.96, 0.36, 0.08999999999999997, 0.21, 0.18, -0.06, 0.24000000000000005], "iou": 0.7250682715405703, "pen": 0.0, "hpen": 1.9751405741028558}, "28,5": {"x": [-0.9300000000000002, 0.7799999999999999, -0.35999999999999993, 0.09, -0.029999999999999916, 0.18, 0.20999999999999994, 0.06, -0.17999999999999994, 0.84, -0.17999999999999994, -0.08999999999999997, -0.21, -0.24000000000000002, 0.12, 0.15000000000000002, -0.26999999999999996, 0.51, -0.06, 0.09, -0.06, -0.27, 0.32999999999999996, 0.15, 0.30000000000000004, -0.12, 0.36000000000000004, 0.18, 0.26999999999999996, 0.11999999999999997, 0.15000000000000002, 0.12, 0.57, -0.9, -5.551115123125783e-17, 0.48, 0.27, 0.30000000000000004, -0.08999999999999997, 0.4799999999999999, 0.24, -1.32, 0.32999999999999996, 0.48, 0.48, 0.24, -0.15000000000000002, 0.26999999999999996, -0.12, -1.2, 0.36, 0.32999999999999996, 0.21, 0.18, -0.18, 0.27], "iou": 0.6723275117471015, "pen": 0.0, "hpen": 1.8520259535944625}, "28,6": {"x": [-1.11, 0.7799999999999999, -0.11999999999999994, 0.09, 0.15000000000000008, -0.12, 0.26999999999999996, 0.0, -0.6599999999999999, 0.84, -0.11999999999999994, 0.15000000000000002, 0.03, -0.24000000000000002, 0.18, 0.15000000000000002, -0.51, 0.75, -0.06, 0.15, 0.18, -0.33, 0.23999999999999996, 0.15, 0.06000000000000005, -0.12, 0.36000000000000004, 0.42, 0.26999999999999996, -0.12000000000000002, 0.15000000000000002, 0.36, 0.32999999999999996, -0.8400000000000001, 0.11999999999999994, 0.48, 0.27, 0.21000000000000005, -0.08999999999999997, 0.4799999999999999, 0.24, -1.32, 0.51, 0.48, 0.36, 0.3, -0.09000000000000002, 0.45, -0.12, -1.3199999999999998, 0.48, 0.32999999999999996, 0.32999999999999996, 0.18, -0.12, 0.45], "iou": 0.6693423329536533, "pen": 0.0, "hpen": 3.073412827479323}} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/cloth_view.py b/third_party/UO_Model3D_v13/pipeline/body13/cloth_view.py new file mode 100644 index 0000000..84da3f1 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/cloth_view.py @@ -0,0 +1,35 @@ +"""visualise fitted cloth (json) vs item sprite for given frames: cloth_view.py anim fits.json out.png a,i a,i ...""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, numpy as np +sys.path.insert(0, HERE) +from PIL import Image +from itemframes import load, canvas +from shape13 import Shape, load_params +from skel13 import Skel13 +from posefit13 import Frame13 +from cloth13 import make_cloth, KINDS +from clothfit import ClothFrame +import fastr +ANIM, FITS, OUT = int(sys.argv[1]), sys.argv[2], sys.argv[3] +frames = [tuple(map(int, s.split(","))) for s in sys.argv[4:]] +r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) +S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params("shape_r2.json"), full=True); V = Vf[S.used] +K = Skel13(S, r["R"], r["parent"], bones, Vf); T = fastr.tris_of(S.faces) +P = json.load(open("poses13_r3.json")); F = json.load(open(FITS)); it = load(ANIM) +kind, zt, zh = KINDS[ANIM]; rig, CV, CF, CW, top, par = make_cloth(K, V, kind, zt, zh, faces=S.faces) +fk = {tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])}; vk = {tuple(int(x) for x in k): n for n, k in enumerate(v["keys"])} +rows = [] +for a, i in frames: + f = fk[(a, i)]; fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + Sb = fr.skin(np.array(P["%d,%d" % (a, i)]["x"])); vi = [vk[(a, i, d)] for d in range(5)] + masks = np.array([canvas(it.get((a, d)), i)[..., 3] > 0 for d in range(5)]) + cf = ClothFrame(rig, CV, CF, CW, Sb, K, V, T, v["C"][vi], list(range(5)), masks, par) + m = cf.masks_of(cf.verts(np.array(F["%d,%d" % (a, i)]["x"]))) + tiles = [] + for d in range(5): + img = np.zeros((120, 136, 3), np.uint8) + 20; img[np.isfinite(cf.BD[d])] = (70, 70, 70) + img[m[d] & masks[d]] = (170, 170, 170); img[m[d] & ~masks[d]] = (230, 60, 60); img[~m[d] & masks[d]] = (60, 120, 255) + tiles.append(np.pad(img[10:110, 23:113], ((1, 1), (1, 1), (0, 0)), constant_values=90)) + rows.append(np.concatenate(tiles, 1)) +im = Image.fromarray(np.concatenate(rows, 0)); im.resize((im.width * 2, im.height * 2), Image.NEAREST).save(OUT) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/clothfit.py b/third_party/UO_Model3D_v13/pipeline/body13/clothfit.py new file mode 100644 index 0000000..e160b27 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/clothfit.py @@ -0,0 +1,140 @@ +"""fit cloth chain rigs to the original item frames (anim.mul), body pose fixed. +The item is seen where it is in front of the body (or off the body); legs (capsules) must stay inside the skirt.""" +import numpy as np +from numba import njit +from horse_sdf import depth_raster +from fk import rig_world + + +def capsules(K, V, S_body, names=("thigh.L", "shin.L", "thigh.R", "shin.R", "pelvis")): + """(head, dir, length, radius) per bone in armature space for the posed body skin matrices S_body""" + out = [] + for n in names: + b = K.ix[n]; Pf = S_body[b] @ K.R[b] + child = {"thigh.L": "shin.L", "shin.L": "foot.L", "thigh.R": "shin.R", "shin.R": "foot.R", "pelvis": "spine"}[n] + L = np.linalg.norm(K.R[K.ix[child]][:3, 3] - K.R[b][:3, 3]) + # radius from the rest body: verts mostly on this bone + sel = K.SW[:, b] > 0.6 + rel = V[sel] - K.R[b][:3, 3]; ax = K.R[b][:3, 1] + t = rel @ ax; rad = np.linalg.norm(rel - np.outer(t, ax), axis=1) + r = np.percentile(rad[(t > 0.15 * L) & (t < 0.85 * L)], 60) if ((t > 0.15 * L) & (t < 0.85 * L)).sum() > 10 else 0.05 + out.append((Pf[:3, 3], Pf[:3, 1], L, r)) + return out + + +def penetration(X, caps, margin=-0.01): + pen = 0.0 + for h, d, L, r in caps: + rel = X - h; t = np.clip(rel @ d, 0, L); q = rel - np.outer(t, d) + dist = np.linalg.norm(q, axis=1) + pen += np.maximum(0, r + margin - dist).sum() + return pen + + +class ClothFrame: + def __init__(self, rig, CV, CF, CW, S_body, K, BV, body_T, C, dirs, masks, R_parent_name, prev=None, + w_pen=3.0, reg=0.002, smooth=0.01, temporal=0.01): + self.rig, self.CV, self.CW = rig, CV, CW + self.T = np.array([[f[0], f[1], f[2]] for f in CF] + [[f[0], f[2], f[3]] for f in CF], np.int32) + pb = K.ix[R_parent_name] + self.Ppar = S_body[pb] @ K.R[pb]; self.Rpar = K.R[pb] + self.C, self.dirs, self.masks = C, dirs, masks + self.RW = [rig_world(d) for d in dirs] + # body depth per view + Xb = np.einsum("nb,bij,nj->ni", K.SW, S_body, np.c_[BV, np.ones(len(BV))])[:, :3] + self.BD = [] + for k, d in enumerate(dirs): + M = C[k] @ self.RW[k]; h = np.c_[Xb, np.ones(len(Xb))] @ M.T + D = np.full((120, 136), np.inf) + depth_raster(np.stack([(h[:, 0] + 1) * 68.0, (1 - h[:, 1]) * 60.0], 1), h[:, 2].copy(), body_T, D) + self.BD.append(D) + self.caps = capsules(K, BV, S_body) + self.Sb = S_body + self.CVh = np.c_[CV, np.ones(len(CV))] + self.w_pen, self.reg, self.smooth, self.temporal = w_pen, reg, smooth, temporal + self.prev = prev + self.xref = None # regularise towards this (default: rest) + + def verts(self, x): + S = self.rig.pose(x, self.Ppar, self.Rpar) + if self.CW.shape[1] > len(S): + S = np.concatenate([S, self.Sb]) + return np.einsum("nb,bij,nj->ni", self.CW, S, self.CVh)[:, :3] + + def masks_of(self, X): + out = [] + for k in range(len(self.dirs)): + M = self.C[k] @ self.RW[k]; h = np.c_[X, np.ones(len(X))] @ M.T + D = np.full((120, 136), np.inf) + depth_raster(np.stack([(h[:, 0] + 1) * 68.0, (1 - h[:, 1]) * 60.0], 1), h[:, 2].copy(), self.T, D) + out.append(D < self.BD[k] - 0.003 * np.linalg.norm(M[2, :3])) # 3 mm in front of the skin + return np.array(out) + + def eval(self, x): + X = self.verts(x); m = self.masks_of(X); o = self.masks + inter = (m & o).sum((1, 2)); uni = (m | o).sum((1, 2)) + iou = (inter / np.maximum(uni, 1)).mean() + a = x.reshape(self.rig.nc, self.rig.ns, 2) + sm = np.sum((a - np.roll(a, 1, 0)) ** 2) if self.rig.prefix == "skirt" else np.sum(np.diff(a, axis=0) ** 2) + tp = np.sum((x - self.prev) ** 2) if self.prev is not None else 0.0 + pen = penetration(X, self.caps) + self.last = dict(iou=iou, pen=pen, out=(m & ~o).sum() / len(o), miss=(o & ~m).sum() / len(o)) + xr = x if self.xref is None else x - self.xref + return iou - self.w_pen * pen - self.reg * np.sum(xr ** 2) - self.smooth * sm - self.temporal * tp, iou + + def directions(self): + """search directions: single angles + grouped moves (level, chain, whole-cloth sway / flare)""" + rig = self.rig; nc, ns = rig.nc, rig.ns; D = [] + eye = np.eye(nc * ns * 2) + D += [eye[i] for i in range(nc * ns * 2)] + th = np.array([np.arctan2(rig.R[rig.bone(k, 0)][1, 2], rig.R[rig.bone(k, 0)][0, 2]) for k in range(nc)]) # outward angle + for s_ in range(ns): + for c in range(2): + v = np.zeros((nc, ns, 2)); v[:, s_, c] = 1; D.append(v.ravel()) + for k in range(nc): + for c in range(2): + v = np.zeros((nc, ns, 2)); v[k, :, c] = 1; D.append(v.ravel()) + for c in range(2): + v = np.zeros((nc, ns, 2)); v[:, :, c] = 1; D.append(v.ravel()) + for phi in np.linspace(0, 2 * np.pi, 8, endpoint=False): + v = np.zeros((nc, ns, 2)); v[:, :, 0] = np.cos(th - phi)[:, None]; v[:, :, 1] = np.sin(th - phi)[:, None] + D.append(v.ravel()) + return np.array(D) + + def fit(self, x0, steps=(0.24, 0.12, 0.06, 0.03), passes=3): + x = x0.copy(); f, _ = self.eval(x); D = self.directions() + for st in steps: + for _ in range(passes): + imp = False + for j in range(len(D)): + for sgn in (1, -1): + y = x + sgn * st * D[j] + fy, _ = self.eval(y) + if fy > f + 1e-6: + x, f = y, fy; imp = True + while True: + y = x + sgn * st * D[j]; fy, _ = self.eval(y) + if fy > f + 1e-6: x, f = y, fy + else: break + break + if not imp: break + self.eval(x) + return x + + +class MountedClothFrame(ClothFrame): + """mounted frames: the horse hides the cloth too, and the cloth must stay out of the horse proxy""" + def __init__(self, *a, HV=None, HT=None, sdf=None, lo=None, w_horse=3.0, tol=0.03, **k): + super().__init__(*a, **k) + from mounted import horse_depth + self.HD = horse_depth(HV, HT, self.C, self.dirs) + self.BD = [np.minimum(b, h) for b, h in zip(self.BD, self.HD)] + self.sdf, self.lo, self.w_horse, self.tol = sdf, lo, w_horse, tol + + def eval(self, x): + from horse_sdf import sample, H + f, iou = super().eval(x) + X = self.verts(x) + hp = np.maximum(0, -sample(self.sdf, self.lo, H, X) - self.tol).sum() + self.last["hpen"] = hp + return f - self.w_horse * hp, iou diff --git a/third_party/UO_Model3D_v13/pipeline/body13/compose.py b/third_party/UO_Model3D_v13/pipeline/body13/compose.py new file mode 100644 index 0000000..656fb56 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/compose.py @@ -0,0 +1,26 @@ +"""original body + rendered item layer, side by side for several renders. compose.py out.png dirA dirB ... -- act:frame:dir ...""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, os, json, base64, zlib, numpy as np +from PIL import Image +sep = sys.argv.index("--"); out = sys.argv[1]; dirs = sys.argv[2:sep]; views = sys.argv[sep + 1:] +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] +rows = [] +for v in views: + act, i, d = v.split(":"); a = int(act[:2]) + o = np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, int(i), int(d))])), np.uint8).reshape(120, 136, 4) + tiles = [np.where(o[..., 3:] > 0, o[..., :3], 40).astype(np.uint8)] + for dd in dirs: + it = np.array(Image.open("%s/clothing/frames/%s/dir%s/%02d.png" % (dd, act, d, int(i))).convert("RGBA")) + img = np.where(o[..., 3:] > 0, o[..., :3], 40).astype(np.uint8) + m = it[..., 3] > 0; img[m] = it[m, :3] + tiles.append(img) + rows.append(np.concatenate(tiles, 1)) +CROP = [int(c) for c in os.environ.get("CROP", "0,0,136,120").split(",")] +rows = [r_.reshape(120, -1, 136, 3)[:, :, :, :] if False else r_ for r_ in rows] +cr = [] +for r_ in rows: + tiles = [r_[:, k * 136:(k + 1) * 136][CROP[1]:CROP[3], CROP[0]:CROP[2]] for k in range(r_.shape[1] // 136)] + cr.append(np.concatenate([np.pad(t, ((1, 1), (1, 1), (0, 0)), constant_values=90) for t in tiles], 1)) +S_ = int(os.environ.get("SCALE", "3")) +im = Image.fromarray(np.concatenate(cr, 0)); im.resize((im.width * S_, im.height * S_), Image.NEAREST).save(out); print(out) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/dump_horse.py b/third_party/UO_Model3D_v13/pipeline/body13/dump_horse.py new file mode 100644 index 0000000..ee364b2 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/dump_horse.py @@ -0,0 +1,14 @@ +"""horse proxy meshes (rig space) per mounted frame -> horse.npz""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, numpy as np +bpy.ops.wm.open_mainfile(filepath=os.path.join(HERE, "..", "..", "model", "UO_Body_0x190.blend")) +rig = bpy.data.objects["UO_Rig"]; rig["uo_direction"] = 0; rig.update_tag(); bpy.context.view_layer.update() +out = {} +for o in bpy.data.objects: + if o.name.startswith("Horse_a"): + a, f = o.name[7:].split("_f"); M = np.array(rig.matrix_world.inverted() @ o.matrix_world) + co = np.array([M[:3, :3] @ np.array(v.co) + M[:3, 3] for v in o.data.vertices]) + o.data.calc_loop_triangles(); tri = np.array([t.vertices[:] for t in o.data.loop_triangles]) + out["v_%s_%s" % (a, f)] = co; out["t_%s_%s" % (a, f)] = tri +np.savez_compressed("horse.npz", **out); print(len(out) // 2, "horse meshes") diff --git a/third_party/UO_Model3D_v13/pipeline/body13/dump_poses.py b/third_party/UO_Model3D_v13/pipeline/body13/dump_poses.py new file mode 100644 index 0000000..668923b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/dump_poses.py @@ -0,0 +1,22 @@ +"""rest matrices of UO_Rig + per-frame pose channels of every action + body-in-rig matrix -> rig_poses.npz""" +import bpy, numpy as np, sys +bpy.ops.wm.open_mainfile(filepath=sys.argv[1]) +sc = bpy.context.scene; rig = bpy.data.objects["UO_Rig"]; body = bpy.data.objects["UO_Body"] +v13 = bpy.data.objects.get("UO_Body_v13") +bones = [b.name for b in rig.data.bones] +R = np.array([np.array(b.matrix_local) for b in rig.data.bones]) +par = np.array([bones.index(b.parent.name) if b.parent else -1 for b in rig.data.bones]) +rig["uo_direction"] = 0; rig.update_tag(); bpy.context.view_layer.update() +Brel = np.array(rig.matrix_world.inverted() @ (v13 or body).matrix_world) +rig.data.pose_position = "POSE" +keys, loc, quat, scl = [], [], [], [] +acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) +for act in acts: + rig.animation_data.action = act; a = int(act["uo_action"]) + for i in range(int(act["uo_frames"])): + sc.frame_set(1 + 3 * i) + keys.append((a, i)) + loc.append([list(rig.pose.bones[b].location) for b in bones]); quat.append([list(rig.pose.bones[b].rotation_quaternion) for b in bones]) + scl.append([list(rig.pose.bones[b].scale) for b in bones]) +np.savez(sys.argv[2], bones=np.array(bones), R=R, parent=par, Brel=Brel, keys=np.array(keys), loc=np.array(loc), quat=np.array(quat), scale=np.array(scl)) +print("frames", len(keys), "max |scale-1|", np.abs(np.array(scl) - 1).max(), "max |loc|", np.abs(np.array(loc)).max(axis=(0, 2))) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/dump_v12.py b/third_party/UO_Model3D_v13/pipeline/body13/dump_v12.py new file mode 100644 index 0000000..bcccf49 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/dump_v12.py @@ -0,0 +1,15 @@ +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, numpy as np +bpy.ops.wm.open_mainfile(filepath=os.path.join(HERE, "..", "..", "model", "UO_Body_0x190.blend")) +body = bpy.data.objects["UO_Body"]; rig = bpy.data.objects["UO_Rig"] +bones = [b.name for b in rig.data.bones] +names = [g.name for g in body.vertex_groups] +kb = body.data.shape_keys.key_blocks["Basis"]; BV = np.array([k.co[:] for k in kb.data]) +BW = np.zeros((len(BV), len(bones))) +for v in body.data.vertices: + for g in v.groups: + if names[g.group] in bones: BW[v.index, bones.index(names[g.group])] = g.weight +F = np.array([list(p.vertices) for p in body.data.polygons], dtype=object) +np.savez("v12_mesh.npz", BV=BV, BW=BW, faces=F, bones=np.array(bones), groups=np.array(names)) +print(len(BV), len(F), "groups", names) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/eval13.py b/third_party/UO_Model3D_v13/pipeline/body13/eval13.py new file mode 100644 index 0000000..6e3e251 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/eval13.py @@ -0,0 +1,26 @@ +"""IoU of UO_Body (v13 blend) vs original frames: eval13.py blend out.json [--frames a,i;a,i] [--mounted]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, sys, json, base64, zlib, numpy as np +blend, out = sys.argv[1], sys.argv[2] +FR = [tuple(map(int, s.split(","))) for s in sys.argv[sys.argv.index("--frames") + 1].split(";")] if "--frames" in sys.argv else None +MOUNTED = "--mounted" in sys.argv +bpy.ops.wm.open_mainfile(filepath=blend) +exec(open(os.path.join(HERE, "eval_iou.py")).read().split("body = bpy.data.objects")[0].split("bpy.ops.wm.open_mainfile(filepath=blend)")[1]) +body = bpy.data.objects["UO_Body"] +res = {} +acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) +for act in acts: + a = int(act["uo_action"]) + if FR is None and (23 <= a <= 29) != MOUNTED: continue + rig.animation_data.action = act + for i in range(int(act["uo_frames"])): + if FR is not None and (a, i) not in FR: continue + sc.frame_set(1 + 3 * i) + for d in range(5): + rig["uo_direction"] = d; rig.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get(); o = orig(a, i, d); m = raster(body, dg) + res["%d,%d,%d" % (a, i, d)] = [int((m & o).sum()), int((m | o).sum()), int((m & ~o).sum()), int((o & ~m).sum())] +json.dump(res, open(out, "w")) +vv = np.array(list(res.values())); iou = vv[:, 0] / np.maximum(vv[:, 1], 1) +print("views %d | IoU mean %.4f p10 %.4f min %.4f | outside %.1f missing %.1f" % (len(vv), iou.mean(), np.percentile(iou, 10), iou.min(), vv[:, 2].mean(), vv[:, 3].mean())) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/eval_iou.py b/third_party/UO_Model3D_v13/pipeline/body13/eval_iou.py new file mode 100644 index 0000000..96def7c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/eval_iou.py @@ -0,0 +1,79 @@ +"""IoU of body meshes (posed by UO_Rig actions) against the original UO frames, all 5 directions. +usage: python eval_iou.py [--step N] [--mounted] +Bodies evaluated: UO_Body with corrections, UO_Body without corrections (shape keys muted), UO_Body_v13 (if present). +""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, sys, json, base64, zlib, numpy as np +blend, out = sys.argv[1], sys.argv[2] +STEP = int(sys.argv[sys.argv.index("--step") + 1]) if "--step" in sys.argv else 1 +MOUNTED = "--mounted" in sys.argv +bpy.ops.wm.open_mainfile(filepath=blend) +sc = bpy.context.scene +rig = bpy.data.objects["UO_Rig"]; rig.data.pose_position = "POSE" +cam = bpy.data.objects["UO_Camera"]; sc.camera = cam +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] +def orig(a, i, d): + return np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, i, d)])), np.uint8).reshape(120, 136, 4)[..., 3] > 0 + +def raster(ob, dg): + ev = ob.evaluated_get(dg); me = ev.to_mesh() + co = np.empty(len(me.vertices) * 3, np.float32); me.vertices.foreach_get("co", co); co = co.reshape(-1, 3) + me.calc_loop_triangles() + tri = np.empty(len(me.loop_triangles) * 3, np.int32); me.loop_triangles.foreach_get("vertices", tri); tri = tri.reshape(-1, 3) + Mw = np.array(ev.matrix_world); ev.to_mesh_clear() + c = cam.evaluated_get(dg) + Mc = np.array(c.calc_matrix_camera(dg, x=136, y=120)) @ np.array(c.matrix_world.inverted()) @ Mw + h = np.c_[co, np.ones(len(co))] @ Mc.T + ndc = h[:, :2] / h[:, 3:4] + P = np.stack([(ndc[:, 0] + 1) * 0.5 * 136, (1 - ndc[:, 1]) * 0.5 * 120], 1)[tri] + img = np.zeros((120, 136), bool) + mn = np.floor(P.min(1)).astype(int); mx = np.ceil(P.max(1)).astype(int) + A, B, C = P[:, 0], P[:, 1], P[:, 2] + den = (B[:, 1] - C[:, 1]) * (A[:, 0] - C[:, 0]) + (C[:, 0] - B[:, 0]) * (A[:, 1] - C[:, 1]) + ok = np.abs(den) > 1e-12; size = np.clip(mx - mn, 0, 16) + for dy in range(int(size[:, 1].max(initial=0)) + 1): + for dx in range(int(size[:, 0].max(initial=0)) + 1): + t = np.nonzero(ok & (dx <= size[:, 0]) & (dy <= size[:, 1]))[0] + px = mn[t, 0] + dx; py = mn[t, 1] + dy; cx, cy = px + 0.5, py + 0.5 + l0 = ((B[t, 1] - C[t, 1]) * (cx - C[t, 0]) + (C[t, 0] - B[t, 0]) * (cy - C[t, 1])) / den[t] + l1 = ((C[t, 1] - A[t, 1]) * (cx - C[t, 0]) + (A[t, 0] - C[t, 0]) * (cy - C[t, 1])) / den[t] + k = (l0 >= -1e-4) & (l1 >= -1e-4) & (1 - l0 - l1 >= -1e-4) & (px >= 0) & (py >= 0) & (px < 136) & (py < 120) + img[py[k], px[k]] = True + return img + +body = bpy.data.objects["UO_Body"] +v13 = bpy.data.objects.get("UO_Body_v13") +for o in bpy.data.objects: + if o.type == "MESH": + o.hide_viewport = False +keys = body.data.shape_keys.key_blocks +variants = [("v12_corr", body, False), ("v12_pure", body, True)] + ([("v13", v13, None)] if v13 else []) +res = {v[0]: {} for v in variants} +acts = sorted([a for a in bpy.data.actions if "uo_action" in a], key=lambda a: int(a["uo_action"])) +for act in acts: + a = int(act["uo_action"]) + if (23 <= a <= 29) != MOUNTED: + continue + rig.animation_data.action = act + for i in range(0, int(act["uo_frames"]), STEP): + sc.frame_set(1 + 3 * i) + for d in range(5): + rig["uo_direction"] = d; rig.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get() + o = orig(a, i, d) + for name, ob, mute in variants: + if mute is not None: + for k in keys[1:]: + k.mute = mute + body.data.update(); bpy.context.view_layer.update(); dg = bpy.context.evaluated_depsgraph_get() + m = raster(ob, dg) + res[name]["%d,%d,%d" % (a, i, d)] = [int((m & o).sum()), int((m | o).sum()), int((m & ~o).sum()), int((o & ~m).sum())] +for k in keys[1:]: + k.mute = False +json.dump(res, open(out, "w")) +for name in res: + v = np.array(list(res[name].values())) + iou = v[:, 0] / np.maximum(v[:, 1], 1) + print("%-9s views %d | IoU mean %.3f p10 %.3f min %.3f | outside px/view %.1f missing px/view %.1f" + % (name, len(v), iou.mean(), np.percentile(iou, 10), iou.min(), v[:, 2].mean(), v[:, 3].mean()), flush=True) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/fastr.py b/third_party/UO_Model3D_v13/pipeline/body13/fastr.py new file mode 100644 index 0000000..09b0d67 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/fastr.py @@ -0,0 +1,98 @@ +"""fast linear blend skinning + silhouette raster (numba), same pixel rule as eval_iou.py""" +import numpy as np +from numba import njit, prange + +WIDTH, HEIGHT = 136, 120 + + +def sparse_weights(Wd, k=6): + """dense (N,B) weights -> (N,k) bone indices + weights (renormalised)""" + idx = np.argsort(-Wd, 1)[:, :k] + w = np.take_along_axis(Wd, idx, 1) + w /= np.maximum(w.sum(1, keepdims=True), 1e-9) + return idx.astype(np.int32), w.astype(np.float64) + + +@njit(parallel=True, cache=True) +def project(V, CW, idx, w): + """V (N,3) rest verts, CW (nv,B,4,4) camera@skin mats -> (nv,N,2) pixel coords""" + nv = CW.shape[0]; N = V.shape[0]; K = idx.shape[1] + out = np.empty((nv, N, 2)) + for v in prange(nv): + for n in range(N): + x = 0.0; y = 0.0; h = 0.0 + for k in range(K): + wk = w[n, k] + if wk == 0.0: + continue + M = CW[v, idx[n, k]] + x += wk * (M[0, 0] * V[n, 0] + M[0, 1] * V[n, 1] + M[0, 2] * V[n, 2] + M[0, 3]) + y += wk * (M[1, 0] * V[n, 0] + M[1, 1] * V[n, 1] + M[1, 2] * V[n, 2] + M[1, 3]) + h += wk * (M[3, 0] * V[n, 0] + M[3, 1] * V[n, 1] + M[3, 2] * V[n, 2] + M[3, 3]) + out[v, n, 0] = (x / h + 1.0) * 0.5 * 136.0 + out[v, n, 1] = (1.0 - y / h) * 0.5 * 120.0 + return out + + +@njit(cache=True) +def raster_one(S, T, img): + for t in range(T.shape[0]): + ax = S[T[t, 0], 0]; ay = S[T[t, 0], 1]; bx = S[T[t, 1], 0]; by = S[T[t, 1], 1]; cx = S[T[t, 2], 0]; cy = S[T[t, 2], 1] + den = (by - cy) * (ax - cx) + (cx - bx) * (ay - cy) + if abs(den) <= 1e-12: + continue + x0 = int(np.floor(min(ax, bx, cx))); x1 = int(np.ceil(max(ax, bx, cx))) + y0 = int(np.floor(min(ay, by, cy))); y1 = int(np.ceil(max(ay, by, cy))) + if x0 < 0: x0 = 0 + if y0 < 0: y0 = 0 + if x1 > 135: x1 = 135 + if y1 > 119: y1 = 119 + for py in range(y0, y1 + 1): + qy = py + 0.5 + for px in range(x0, x1 + 1): + qx = px + 0.5 + l0 = ((by - cy) * (qx - cx) + (cx - bx) * (qy - cy)) / den + if l0 < -1e-4: continue + l1 = ((cy - ay) * (qx - cx) + (ax - cx) * (qy - cy)) / den + if l1 < -1e-4: continue + if 1.0 - l0 - l1 < -1e-4: continue + img[py, px] = True + + +@njit(parallel=True, cache=True) +def raster(S, T): + nv = S.shape[0] + out = np.zeros((nv, 120, 136), np.bool_) + for v in prange(nv): + raster_one(S[v], T, out[v]) + return out + + +@njit(parallel=True, cache=True) +def score(S, T, masks): + """per view: intersection, union, outside, missing""" + nv = S.shape[0] + res = np.zeros((nv, 4), np.int64) + for v in prange(nv): + img = np.zeros((120, 136), np.bool_) + raster_one(S[v], T, img) + o = masks[v] + a = 0; u = 0; out = 0; mis = 0 + for y in range(120): + for x in range(136): + m = img[y, x]; g = o[y, x] + if m and g: a += 1 + if m or g: u += 1 + if m and not g: out += 1 + if g and not m: mis += 1 + res[v, 0] = a; res[v, 1] = u; res[v, 2] = out; res[v, 3] = mis + return res + + +def tris_of(faces): + T = [] + for f in faces: + f = list(f) + for j in range(1, len(f) - 1): + T.append((f[0], f[j], f[j + 1])) + return np.array(T, np.int32) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/fit_shape2.py b/third_party/UO_Model3D_v13/pipeline/body13/fit_shape2.py new file mode 100644 index 0000000..fc2f410 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/fit_shape2.py @@ -0,0 +1,90 @@ +"""regularised shape fit (keeps a natural anatomy): search along parameter axes and along grouped directions +(whole limb girth, limb taper, whole torso width / depth); penalties on limb taper / anisotropy changes and on +deviation from the measured proportions. +usage: python fit_shape2.py views.npz out.json [--init p.json] [--passes N] [--skin skel] [--sub K]""" +import sys, json, time, numpy as np +from shape13 import Shape, default_params, flat, unflat, PARTS, load_params, save_params, LIMBS +import fastr + +views, out = sys.argv[1], sys.argv[2] +arg = lambda k, d: type(d)(sys.argv[sys.argv.index(k) + 1]) if k in sys.argv else d +PASSES = arg("--passes", 8); SUB = arg("--sub", 1); REG = arg("--reg", 0.03) +d = np.load(views); bones = list(d["bones"]); sel = np.arange(0, len(d["keys"]), SUB) +S = Shape(d["U"], d["BV"], d["BDOM"], bones) +if "--skin" in sys.argv: # 55-bone skin weights (views npz holds 55 matrices per view) + from skel13 import Skel13 + r = np.load("rig_poses.npz") + K = Skel13(S, r["R"], r["parent"], bones, S.build(load_params(arg("--init", "")) if "--init" in sys.argv else None, full=True)); Wd = K.SW +else: + PWu = S.PW[S.used]; Wd = np.zeros((len(PWu), len(bones))) + for j, p in enumerate(PARTS): Wd[:, bones.index(p)] = PWu[:, j] +idx, w = fastr.sparse_weights(Wd) +CW = np.einsum("vij,vbjk->vbik", d["C"][sel], d["W"][sel]); T = fastr.tris_of(S.faces); masks = d["masks"][sel] +like = default_params() +p0 = load_params(arg("--init", "")) if "--init" in sys.argv else default_params() +x = flat(p0) +names = [] +for k in sorted(like): + names += ["%s[%d]" % (k, i) for i in range(np.size(like[k]))] +names = np.array(names) +lo = np.array([-0.05 if n.startswith("tc") else 0.6 for n in names]); hi = np.array([0.05 if n.startswith("tc") else 1.7 for n in names]) +# directions: axes + groups +D = [np.eye(len(x))[i] * (0.01 if names[i].startswith("tc") else 0.06) for i in range(len(x))] +def grp(prefix, vec): + v = np.zeros(len(x)); ii = [i for i, n in enumerate(names) if n.startswith(prefix + "[")] + v[ii] = vec; return v +for l in LIMBS: + D.append(grp(l, np.array([1, 1, 1, 1]) * 0.05)) # whole girth + D.append(grp(l, np.array([-1, 1, -1, 1]) * 0.05)) # taper + D.append(grp(l, np.array([1, 1, -1, -1]) * 0.05)) # side vs front +D.append(grp("tw", np.ones(7) * 0.04)); D.append(grp("td", np.ones(7) * 0.04)); D.append(grp("tc", np.ones(7) * 0.006)) +D.append(grp("head3", np.array([1, 1, 0]) * 0.04)) +D = np.array(D) + + +def penalty(p): + pen = 0.0 + for l in LIMBS: + g = p[l] + pen += (g[0] - g[1]) ** 2 + (g[2] - g[3]) ** 2 # taper change + pen += 0.5 * ((g[0] - g[2]) ** 2 + (g[1] - g[3]) ** 2) # anisotropy change + pen += 0.2 * np.sum((g - 1) ** 2) + pen += 5 * sum(np.sum(np.diff(p[k], 2) ** 2) for k in ("tw", "td")) + 500 * np.sum(np.diff(p["tc"], 2) ** 2) + pen += 0.2 * (np.sum((p["tw"] - 1) ** 2) + np.sum((p["td"] - 1) ** 2)) + pen += np.sum((p["neck"] - 1) ** 2) + np.sum((p["head3"] - 1) ** 2) + (p["head"][0] - 1) ** 2 + (p["footl"][0] - 1) ** 2 + return pen + + +def cost(x): + p = unflat(x) + r = fastr.score(fastr.project(S.build(p), CW, idx, w), T, masks) + iou = (r[:, 0] / np.maximum(r[:, 1], 1)).mean() + return -(iou - REG * penalty(p)), iou, r + + +f, iou, r = cost(x) +print("start IoU %.4f outside %.1f missing %.1f pen %.3f (views %d)" % (iou, r[:, 2].mean(), r[:, 3].mean(), penalty(unflat(x)), len(sel)), flush=True) +scale = 1.0; t0 = time.time() +for ps in range(PASSES): + improved = 0 + for j in np.random.RandomState(ps).permutation(len(D)): + for sgn in (1, -1): + y = np.clip(x + sgn * scale * D[j], lo, hi) + fy, iy, ry = cost(y) + if fy < f - 1e-7: + x, f, iou, r = y, fy, iy, ry; improved += 1 + while True: + y = np.clip(x + sgn * scale * D[j], lo, hi) + fy, iy, ry = cost(y) + if fy < f - 1e-7: x, f, iou, r = y, fy, iy, ry + else: break + break + print("pass %d IoU %.4f outside %.1f missing %.1f pen %.3f improved %d scale %.2f %.0fs" + % (ps, iou, r[:, 2].mean(), r[:, 3].mean(), penalty(unflat(x)), improved, scale, time.time() - t0), flush=True) + save_params(out, unflat(x), iou=float(iou)) + if improved < 4: + scale *= 0.5 + if scale < 0.1: break +p = unflat(x) +for k in sorted(p): + print("%-10s" % k, np.round(p[k], 3)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/fk.py b/third_party/UO_Model3D_v13/pipeline/body13/fk.py new file mode 100644 index 0000000..f5469db --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/fk.py @@ -0,0 +1,29 @@ +"""numpy forward kinematics matching Blender pose bones (quaternion rotation, location, full inherit)""" +import numpy as np + +def qmat(q): + w, x, y, z = q / np.linalg.norm(q) + return np.array([[1 - 2 * (y * y + z * z), 2 * (x * y - w * z), 2 * (x * z + w * y)], + [2 * (x * y + w * z), 1 - 2 * (x * x + z * z), 2 * (y * z - w * x)], + [2 * (x * z - w * y), 2 * (y * z + w * x), 1 - 2 * (x * x + y * y)]]) + +def basis(loc, rot3, scale=None): + M = np.eye(4); M[:3, :3] = rot3 if scale is None else rot3 * scale; M[:3, 3] = loc + return M + +def pose_mats(R, parent, bases): + """R (B,4,4) rest (armature space), parent idx (B,), bases (B,4,4) -> pose matrices (B,4,4) armature space""" + B = len(R); P = np.zeros((B, 4, 4)); Rinv = np.linalg.inv(R) + for b in range(B): # bones are ordered parents first + p = parent[b] + P[b] = (R[b] if p < 0 else P[p] @ Rinv[p] @ R[b]) @ bases[b] + return P + +def rig_world(d): + a = -d * np.pi / 4; c, s = np.cos(a), np.sin(a) + M = np.eye(4); M[:2, :2] = [[c, -s], [s, c]] + return M + +def skin_mats(R, parent, bases, d, Brel): + P = pose_mats(R, parent, bases) + return rig_world(d) @ P @ np.linalg.inv(R) @ Brel diff --git a/third_party/UO_Model3D_v13/pipeline/body13/gen_items.py b/third_party/UO_Model3D_v13/pipeline/body13/gen_items.py new file mode 100644 index 0000000..437236e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/gen_items.py @@ -0,0 +1,196 @@ +"""random outfit on the v13 body: procedural items built from the body skin (shells), the cloth templates and simple +props, each fitted + bound with the user scripts (uo_fit_item / uo_bind_item presets), then rendered. +usage: gen_items.py v13.blend out_dir seed actions(comma names) [--layers] + --layers: also render every item as its own UO layer (clothing), else only the preview (LAYER = "all")""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, bmesh, sys, os, json, random, re +import numpy as np +from mathutils import Vector, Matrix + +args = [a for a in sys.argv[sys.argv.index("--") + 1:]] if "--" in sys.argv else sys.argv[-4:] +blend, out_dir, seed, only = args[0], os.path.abspath(args[1]), int(args[2]), args[3].split(",") +LAYERS = "--layers" in sys.argv +os.makedirs(out_dir, exist_ok=True) +rnd = random.Random(seed) +bpy.ops.wm.open_mainfile(filepath=blend) +sc = bpy.context.scene; rig = bpy.data.objects["UO_Rig"]; body = bpy.data.objects["UO_Body"] +rig.animation_data.action = None; rig["uo_direction"] = 0; rig.data.pose_position = "REST"; bpy.context.view_layer.update() +cl = bpy.data.collections["Clothing"] +for o in list(cl.objects): + cl.objects.unlink(o) + if not o.users_collection: sc.collection.objects.link(o) + o.hide_render = True; o.hide_viewport = True + +SUB = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} +def group_of(n): + s = n[-2:] if n.endswith((".L", ".R")) else "" + b = n[:-2] if s else n + return ("hand" if b.startswith("finger") else SUB.get(b, b)), s + +me = body.data +gnames = [g.name for g in body.vertex_groups] +W = np.zeros((len(me.vertices), len(gnames))) +for v in me.vertices: + for g in v.groups: W[v.index, g.group] = g.weight +dom_base = np.array([group_of(gnames[j])[0] for j in W.argmax(1)]) +dom_side = np.array([group_of(gnames[j])[1] for j in W.argmax(1)]) +CO = np.array([v.co[:] for v in me.vertices]); NO = np.array([v.normal[:] for v in me.vertices]) +bone = lambda n: rig.data.bones[n] +def bone_t(name, X): + b = bone(name); h = np.array(b.head_local); t = np.array(b.tail_local) + return ((X - h) @ (t - h)) / ((t - h) @ (t - h)) + +def uo_material(name, rgb, metal=False): + m = bpy.data.materials.new(name); m.use_nodes = True + nt = m.node_tree; out = next(n for n in nt.nodes if n.type == "OUTPUT_MATERIAL") + for n in [n for n in nt.nodes if n.type != "OUTPUT_MATERIAL"]: nt.nodes.remove(n) + grp = nt.nodes.new("ShaderNodeGroup"); grp.node_tree = bpy.data.node_groups["UO_Look"] + alb = next((i for i in grp.inputs if i.name.lower().startswith("albedo")), grp.inputs[0]) + alb.default_value = (*rgb, 1.0) + nt.links.new(grp.outputs[0], out.inputs["Surface"]) + return m + +def shell(name, keep, thick, rgb): + """item from the body skin: faces whose vertices are all kept, pushed out along the normals""" + idx = np.nonzero(keep)[0]; remap = -np.ones(len(CO), int); remap[idx] = np.arange(len(idx)) + faces = [[remap[i] for i in p.vertices] for p in me.polygons if keep[list(p.vertices)].all()] + V = CO[idx] + NO[idx] * thick + m = bpy.data.meshes.new(name); m.from_pydata(V.tolist(), [], faces); m.update() + for p in m.polygons: p.use_smooth = True + ob = bpy.data.objects.new(name, m); cl.objects.link(ob); m.materials.append(uo_material(name + "_mat", rgb)) + return ob + +def part(*bases, side=None): + k = np.isin(dom_base, bases) + if side: k &= dom_side == side + return k + +def fit_bind(ob, PART, fit=True): + for o in bpy.context.selected_objects: o.select_set(False) + ob.select_set(True); bpy.context.view_layer.objects.active = ob + if fit: + exec(compile(bpy.data.texts["uo_fit_item.py"].as_string(), "uo_fit_item.py", "exec"), {"__name__": "__main__"}) + src = bpy.data.texts["uo_bind_item.py"].as_string().replace('PART = "all"', 'PART = %r' % PART, 1) + exec(compile(src, "uo_bind_item.py", "exec"), {"__name__": "__main__"}) + +PAL = {"steel": (0.62, 0.64, 0.68), "dark": (0.22, 0.22, 0.25), "gold": (0.78, 0.6, 0.25), "red": (0.55, 0.12, 0.1), + "green": (0.18, 0.38, 0.18), "blue": (0.15, 0.25, 0.55), "leather": (0.42, 0.27, 0.15), "cloth": (0.75, 0.7, 0.58), + "purple": (0.4, 0.18, 0.45), "black": (0.08, 0.08, 0.09)} +pick = lambda *k: PAL[rnd.choice(k)] +items = [] + +# ---------------------------------------------------------------- torso +if rnd.random() < 0.6: + k = part("pelvis", "spine", "chest", "clavicle", "neck") & (CO[:, 2] < 1.62) + ob = shell("Item_ChestPlate", k, 0.03, pick("steel", "dark", "gold")); fit_bind(ob, "chest", fit=False); items.append(ob) + for s in (".L", ".R"): # pauldrons + h = np.array(bone("upper_arm" + s).head_local) + bpy.ops.mesh.primitive_uv_sphere_add(radius=0.11, location=Vector(h + np.array([0, 0, 0.03]))) + pd = bpy.context.active_object; pd.name = "Item_Pauldron" + s; pd.scale = (1.15, 1.0, 0.75) + for c in pd.users_collection: c.objects.unlink(pd) + cl.objects.link(pd); pd.data.materials.append(ob.data.materials[0]) + bpy.ops.object.select_all(action="DESELECT"); pd.select_set(True); bpy.context.view_layer.objects.active = pd + bpy.ops.object.transform_apply(location=False, rotation=False, scale=True) + fit_bind(pd, "shoulders"); items.append(pd) +else: + sleeve = rnd.choice(["short", "elbow", "long"]) + k = part("pelvis", "spine", "chest", "clavicle", "neck") & (CO[:, 2] < 1.6) + ka = np.zeros(len(CO), bool) + for s in (".L", ".R"): + ua = (dom_side == s) & (dom_base == "upper_arm"); fa = (dom_side == s) & (dom_base == "forearm") + ka |= ua & (bone_t("upper_arm" + s, CO) < (0.55 if sleeve == "short" else 2)) + if sleeve == "long": ka |= fa & (bone_t("forearm" + s, CO) < 0.85) + ob = shell("Item_Shirt", k | ka, 0.012, pick("cloth", "red", "green", "blue", "purple")); fit_bind(ob, "chest", fit=False); items.append(ob) +# ---------------------------------------------------------------- legs +lower = rnd.choice(["pants", "pants", "skirt"]) +if lower == "pants": + k = part("pelvis", "thigh", "shin") & (CO[:, 2] < 1.08) + ob = shell("Item_Pants", k, 0.012, pick("leather", "cloth", "dark", "blue")); fit_bind(ob, "legs", fit=False); items.append(ob) +else: + tpl = bpy.data.objects["UO_Template_Skirt"] + ob = bpy.data.objects.new("Item_Skirt", tpl.data.copy()); cl.objects.link(ob); ob.matrix_world = tpl.matrix_world.copy() + ob.vertex_groups.clear(); ob.data.materials.clear(); ob.data.materials.append(uo_material("skirt_mat", pick("red", "green", "blue", "purple"))) + fit_bind(ob, "skirt", fit=False); items.append(ob) +# ---------------------------------------------------------------- boots, gloves +tb = np.zeros(len(CO), bool) +for s in (".L", ".R"): + tb |= (dom_side == s) & (((dom_base == "shin") & (bone_t("shin" + s, CO) > 0.45)) | (dom_base == "foot")) +ob = shell("Item_Boots", tb, 0.015, pick("leather", "dark", "black")); fit_bind(ob, "boots", fit=False); items.append(ob) +if rnd.random() < 0.6: + tg = np.zeros(len(CO), bool) + for s in (".L", ".R"): + tg |= (dom_side == s) & (((dom_base == "forearm") & (bone_t("forearm" + s, CO) > 0.55)) | (dom_base == "hand")) + ob = shell("Item_Gloves", tg, 0.01, pick("leather", "dark", "steel")); fit_bind(ob, "gloves", fit=False); items.append(ob) +# ---------------------------------------------------------------- head: helmet or hair (+ beard) +top = CO[:, 2].max() +if rnd.random() < 0.5: + k = part("head") & (CO[:, 2] > top - 0.13) + ob = shell("Item_Helm", k, 0.022, pick("steel", "dark", "gold")); fit_bind(ob, "helm", fit=False); items.append(ob) +else: + face = (CO[:, 1] < np.percentile(CO[part("head"), 1], 35)) & (CO[:, 2] < top - 0.05) + long_ = rnd.random() < 0.5 + k = part("head") & (CO[:, 2] > top - (0.2 if long_ else 0.11)) & ~face + if long_: k |= part("neck") & (CO[:, 1] > np.median(CO[part("neck"), 1])) + ob = shell("Item_Hair", k, 0.02, pick("black", "leather", "gold")); fit_bind(ob, "hair", fit=False); items.append(ob) +# ---------------------------------------------------------------- cloak +if rnd.random() < 0.5: + tpl = bpy.data.objects["UO_Template_Cloak"] + ob = bpy.data.objects.new("Item_Cloak", tpl.data.copy()); cl.objects.link(ob); ob.matrix_world = tpl.matrix_world.copy() + ob.vertex_groups.clear(); ob.data.materials.clear(); ob.data.materials.append(uo_material("cloak_mat", pick("red", "green", "blue", "black", "purple"))) + fit_bind(ob, "cloak", fit=False); items.append(ob) +# ---------------------------------------------------------------- weapon + shield (rigid) +if rnd.random() < 0.8: + g = json.load(open(os.path.join(HERE, "grip_katana2.json"))) # grip calibrated on the UO katana frames + Mb = np.array(bone(g["bone"]).matrix_local) + grip = (Mb @ np.r_[g["grip"], 1])[:3]; ax = Mb[:3, :3] @ np.array(g["dir"]); ax /= np.linalg.norm(ax) + pz = np.cross(ax, Mb[:3, 0]); pz /= np.linalg.norm(pz) + L = rnd.choice([0.7, 0.85, 1.0]) + bm = bmesh.new() + def box(c, size, R): + vs = [] + for dx in (-0.5, 0.5): + for dy in (-0.5, 0.5): + for dz in (-0.5, 0.5): + vs.append(bm.verts.new(Vector(c + R @ (np.array([dx, dy, dz]) * size)))) + for f in ((0, 1, 3, 2), (4, 6, 7, 5), (0, 4, 5, 1), (2, 3, 7, 6), (0, 2, 6, 4), (1, 5, 7, 3)): + bm.faces.new([vs[i] for i in f]) + y = np.cross(pz, ax); R = np.stack([ax, y, pz], 1) + box(grip + ax * (0.12 + L / 2), np.array([L, 0.05, 0.012]), R) # blade + box(grip + ax * 0.1, np.array([0.03, 0.22, 0.035]), R) # cross guard + box(grip + ax * 0.02, np.array([0.16, 0.035, 0.035]), R) # grip + m = bpy.data.meshes.new("Item_Sword"); bm.to_mesh(m); bm.free() + ob = bpy.data.objects.new("Item_Sword", m); cl.objects.link(ob); m.materials.append(uo_material("sword_mat", PAL["steel"])) + fit_bind(ob, "weapon", fit=False); items.append(ob) + if rnd.random() < 0.6: + sh_ = json.load(open(os.path.join(HERE, "shield_heater.json"))) # calibrated on the UO heater shield frames + Mf = np.array(bone(sh_["bone"]).matrix_local) + c = (Mf @ np.r_[sh_["centre"], 1])[:3]; nrm = Mf[:3, :3] @ np.array(sh_["normal"]); nrm /= np.linalg.norm(nrm) + bpy.ops.mesh.primitive_cylinder_add(radius=sh_["radius"] * rnd.choice([0.8, 0.95]), depth=0.03, vertices=24, location=Vector(c)) + sh = bpy.context.active_object; sh.name = "Item_Shield" + sh.rotation_mode = "QUATERNION"; sh.rotation_quaternion = Vector((0, 0, 1)).rotation_difference(Vector(nrm)) + for cc in sh.users_collection: cc.objects.unlink(sh) + cl.objects.link(sh); sh.data.materials.append(uo_material("shield_mat", pick("red", "blue", "gold", "leather"))) + bpy.ops.object.select_all(action="DESELECT"); sh.select_set(True); bpy.context.view_layer.objects.active = sh + bpy.ops.object.transform_apply(location=True, rotation=True, scale=True) + fit_bind(sh, "shield", fit=False); items.append(sh) + +rig.data.pose_position = "POSE" +print("ITEMS", [o.name for o in items]) +bpy.ops.wm.save_as_mainfile(filepath=os.path.join(out_dir, "outfit_%d.blend" % seed), compress=True) + +def render(layer, sub, objs=None): + if objs is not None: + for o in cl.objects: o.hide_render = o not in objs + r = bpy.data.texts["render_uo_layer.py"].as_string() + r = re.sub(r'(?m)^LAYER = "clothing"', 'LAYER = %r' % layer, r, count=1) + r = re.sub(r'(?m)^ONLY = \[\]', 'ONLY = %r' % only, r, count=1) + r = r.replace('OUT_DIR = "//uo_render/"', 'OUT_DIR = %r' % (os.path.join(out_dir, sub) + "/"), 1) + r = r.replace('VD_FILE = "//uo_render/%s.vd"', 'VD_FILE = %r' % (os.path.join(out_dir, sub, "%s.vd")), 1) + exec(compile(r, "render_uo_layer.py", "exec"), {"__name__": "__main__"}) + +render("all", "preview") +if LAYERS: + for o in items: + render("clothing", "layer_" + o.name[5:], [o]) +print("GEN_DONE") diff --git a/third_party/UO_Model3D_v13/pipeline/body13/grip_katana2.json b/third_party/UO_Model3D_v13/pipeline/body13/grip_katana2.json new file mode 100644 index 0000000..c555128 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/grip_katana2.json @@ -0,0 +1,16 @@ +{ + "anim": 627, + "bone": "hand.R", + "grip": [ + -0.0067245818397671, + 0.0718225675494025, + -0.034678647474940344 + ], + "dir": [ + 0.24207559893716227, + -0.03946323640421321, + 0.9694545153702258 + ], + "length": 0.5696000000000001, + "iou": -0.8590767562676578 +} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/handfit.py b/third_party/UO_Model3D_v13/pipeline/body13/handfit.py new file mode 100644 index 0000000..90ee445 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/handfit.py @@ -0,0 +1,90 @@ +"""refine the hand rotation per frame from the original weapon / shield frames (the body silhouette cannot tell how +the fist is turned): the calibrated stick (grip json) must follow the weapon sprite (chamfer), the body silhouette +must not get worse. usage: handfit.py poses_in.json grip.json poses_out.json [--w_body 40]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, numpy as np +from multiprocessing import Pool +POS_IN, GRIP, POS_OUT = sys.argv[1:4] +W_BODY = float(sys.argv[sys.argv.index("--w_body") + 1]) if "--w_body" in sys.argv else 40.0 +G = {} + + +def setup(): + sys.path.insert(0, HERE) + from itemframes import load + from shape13 import Shape, load_params + from skel13 import Skel13 + import fastr + r = np.load("rig_poses.npz"); v = np.load("views_all.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params("shape_r2.json"), full=True); V = Vf[S.used] + K = Skel13(S, r["R"], r["parent"], bones, Vf) + idx, w = fastr.sparse_weights(K.SW) + g = json.load(open(GRIP)) + G.update(r=r, v=v, K=K, V=V, idx=idx, w=w, T=fastr.tris_of(S.faces), it=load(g["anim"]), g=g, P=json.load(open(POS_IN)), + vk={tuple(int(x) for x in k): n for n, k in enumerate(v["keys"])}, fk={tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])}) + + +def chamfer(M, dt, pix, p0, u, L, ns=40): + a = M @ np.r_[p0, 1]; b = M @ np.r_[p0 + u * L, 1] + A = np.array([(a[0] + 1) * 68, (1 - a[1]) * 60]); B = np.array([(b[0] + 1) * 68, (1 - b[1]) * 60]) + t = np.linspace(0, 1, ns + 1)[:, None]; Q = A + (B - A) * t + qi = np.clip(Q.astype(int), [0, 0], [135, 119]) + d1 = np.minimum(dt[qi[:, 1], qi[:, 0]], 15).mean() + e = B - A; ll = e @ e + 1e-9; tt = np.clip(((pix - A) @ e) / ll, 0, 1) + d2 = np.minimum(np.linalg.norm(A + np.outer(tt, e) - pix, axis=1), 15).mean() + return 0.5 * (d1 + d2) + + +def work(key): + from scipy.ndimage import distance_transform_edt + from itemframes import canvas + from posefit13 import Frame13 + from posefit import score_views + from fk import rig_world + r, v, K, g = G["r"], G["v"], G["K"], G["g"] + a, i = map(int, key.split(",")); x0 = np.array(G["P"][key]["x"]) + bh = K.ix[g["bone"]]; p0 = np.array(g["grip"]); u = np.array(g["dir"]); L = g["length"] + f = G["fk"][(a, i)]; vi = [G["vk"][(a, i, d)] for d in range(5)] + wm = [canvas(G["it"].get((a, d)), i)[..., 3] > 0 for d in range(5)] + dirs = [d for d in range(5) if wm[d].any()] + if not dirs: + return key, dict(G["P"][key], hand_fit=None) + DT = {d: distance_transform_edt(~wm[d]) for d in dirs}; PIX = {d: np.argwhere(wm[d])[:, ::-1] + 0.5 for d in dirs} + fr = Frame13(K, G["V"], G["idx"], G["w"], G["T"], r["Brel"], v["C"][vi], v["masks"][vi], list(range(5)), r["loc"][f], r["quat"][f]) + j0 = 3 * bh # hand rotation slots in x + def cost(x): + Sk = fr.skin(x); Ph = Sk[bh] @ K.R[bh] + ch = np.mean([chamfer(v["C"][vi[d]] @ rig_world(d) @ Ph, DT[d], PIX[d], p0, u, L) for d in dirs]) + res = score_views(fr.V, np.array([fr.C[k] @ fr.RW[k] @ Sk for k in range(5)]), fr.idx, fr.w, fr.T, fr.masks) + iou = (res[:, 0] / np.maximum(res[:, 1], 1)).mean() + return ch - W_BODY * iou, ch, iou + x = x0.copy(); f0, ch0, iou0 = cost(x); fb = f0 + for st in (0.4, 0.2, 0.1, 0.05, 0.025): + for _ in range(3): + imp = False + for jj in list(range(j0, j0 + 3)) + [3 * K.ix[g["bone"].replace("hand", "forearm")] + k for k in range(3)]: + for sg in (1, -1): + y = x.copy(); y[jj] += sg * st + fy, _, _ = cost(y) + if fy < fb - 1e-4: x, fb = y, fy; imp = True; break + if not imp: break + _, ch1, iou1 = cost(x) + rec = dict(G["P"][key]); rec["x"] = list(map(float, x)); rec["iou"] = float(iou1) + rec["hand_fit"] = dict(chamfer0=float(ch0), chamfer=float(ch1), iou0=float(iou0)) + return key, rec + + +if __name__ == "__main__": + P = json.load(open(POS_IN)); out = {} + with Pool(4, initializer=setup) as pool: + for n, (k, rec) in enumerate(pool.imap_unordered(work, sorted(P))): + out[k] = rec + if n % 30 == 0: + hf = [o["hand_fit"] for o in out.values() if o.get("hand_fit")] + if hf: print("%d/%d chamfer %.2f -> %.2f px body IoU %.4f -> %.4f" % (n + 1, len(P), np.mean([h["chamfer0"] for h in hf]), np.mean([h["chamfer"] for h in hf]), + np.mean([h["iou0"] for h in hf]), np.mean([o["iou"] for o in out.values() if o.get("hand_fit")])), flush=True) + json.dump(out, open(POS_OUT, "w")) + hf = [o["hand_fit"] for o in out.values() if o.get("hand_fit")] + print("done: chamfer %.2f -> %.2f px, body IoU %.4f -> %.4f" % (np.mean([h["chamfer0"] for h in hf]), np.mean([h["chamfer"] for h in hf]), + np.mean([h["iou0"] for h in hf]), np.mean([o["iou"] for o in out.values() if o.get("hand_fit")]))) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/horse_sdf.py b/third_party/UO_Model3D_v13/pipeline/body13/horse_sdf.py new file mode 100644 index 0000000..fb8e3b9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/horse_sdf.py @@ -0,0 +1,103 @@ +"""signed distance grids (m, < 0 inside) of the horse proxies (rig space) -> horse_sdf.npz ++ depth-raster helpers for mounted fitting (the horse hides the rider's far side)""" +import numpy as np +from numba import njit +from scipy.ndimage import distance_transform_edt + +H = 0.02 # voxel size + + +@njit(cache=True) +def column_crossings(V, T, x0, y0, nx, ny, h, maxc): + zc = np.zeros((nx, ny, maxc)); nc = np.zeros((nx, ny), np.int32) + for t in range(T.shape[0]): + a = V[T[t, 0]]; b = V[T[t, 1]]; c = V[T[t, 2]] + den = (b[1] - c[1]) * (a[0] - c[0]) + (c[0] - b[0]) * (a[1] - c[1]) + if abs(den) < 1e-14: + continue + i0 = int(np.ceil((min(a[0], b[0], c[0]) - x0) / h - 0.5)); i1 = int(np.floor((max(a[0], b[0], c[0]) - x0) / h - 0.5)) + j0 = int(np.ceil((min(a[1], b[1], c[1]) - y0) / h - 0.5)); j1 = int(np.floor((max(a[1], b[1], c[1]) - y0) / h - 0.5)) + for i in range(max(i0, 0), min(i1, nx - 1) + 1): + px = x0 + (i + 0.5) * h + for j in range(max(j0, 0), min(j1, ny - 1) + 1): + py = y0 + (j + 0.5) * h + l0 = ((b[1] - c[1]) * (px - c[0]) + (c[0] - b[0]) * (py - c[1])) / den + l1 = ((c[1] - a[1]) * (px - c[0]) + (a[0] - c[0]) * (py - c[1])) / den + l2 = 1 - l0 - l1 + if l0 < 0 or l1 < 0 or l2 < 0: + continue + if nc[i, j] < maxc: + zc[i, j, nc[i, j]] = l0 * a[2] + l1 * b[2] + l2 * c[2]; nc[i, j] += 1 + return zc, nc + + +def sdf_grid(V, T): + lo = V.min(0) - 0.1; hi = V.max(0) + 0.1 + n = np.ceil((hi - lo) / H).astype(int) + zc, nc = column_crossings(V, T.astype(np.int64), lo[0], lo[1], n[0], n[1], H, 64) + inside = np.zeros(n, bool) + zs = lo[2] + (np.arange(n[2]) + 0.5) * H + for i in range(n[0]): + for j in range(n[1]): + k = nc[i, j] + if k < 2: + continue + z = np.sort(zc[i, j, :k]) + cnt = np.searchsorted(z, zs) # crossings below each voxel centre + inside[i, j] = cnt % 2 == 1 + d_out = distance_transform_edt(~inside) * H; d_in = distance_transform_edt(inside) * H + return lo, (d_out - d_in).astype(np.float32) + + +@njit(cache=True) +def sample(sdf, lo, h, P): + out = np.empty(P.shape[0]); nx, ny, nz = sdf.shape + for n in range(P.shape[0]): + fx = (P[n, 0] - lo[0]) / h - 0.5; fy = (P[n, 1] - lo[1]) / h - 0.5; fz = (P[n, 2] - lo[2]) / h - 0.5 + i = int(np.floor(fx)); j = int(np.floor(fy)); k = int(np.floor(fz)) + if i < 0 or j < 0 or k < 0 or i >= nx - 1 or j >= ny - 1 or k >= nz - 1: + out[n] = 1.0; continue + tx = fx - i; ty = fy - j; tz = fz - k + s = 0.0 + for di in range(2): + for dj in range(2): + for dk in range(2): + wgt = (tx if di else 1 - tx) * (ty if dj else 1 - ty) * (tz if dk else 1 - tz) + s += wgt * sdf[i + di, j + dj, k + dk] + out[n] = s + return out + + +@njit(cache=True) +def depth_raster(S, Z, T, D): + """min depth per pixel (pixel-centre rule); D preset to inf""" + for t in range(T.shape[0]): + ax = S[T[t, 0], 0]; ay = S[T[t, 0], 1]; bx = S[T[t, 1], 0]; by = S[T[t, 1], 1]; cx = S[T[t, 2], 0]; cy = S[T[t, 2], 1] + den = (by - cy) * (ax - cx) + (cx - bx) * (ay - cy) + if abs(den) <= 1e-12: + continue + x0 = max(int(np.floor(min(ax, bx, cx))), 0); x1 = min(int(np.ceil(max(ax, bx, cx))), 135) + y0 = max(int(np.floor(min(ay, by, cy))), 0); y1 = min(int(np.ceil(max(ay, by, cy))), 119) + for py in range(y0, y1 + 1): + qy = py + 0.5 + for px in range(x0, x1 + 1): + qx = px + 0.5 + l0 = ((by - cy) * (qx - cx) + (cx - bx) * (qy - cy)) / den + if l0 < -1e-4: continue + l1 = ((cy - ay) * (qx - cx) + (ax - cx) * (qy - cy)) / den + if l1 < -1e-4: continue + l2 = 1.0 - l0 - l1 + if l2 < -1e-4: continue + z = l0 * Z[T[t, 0]] + l1 * Z[T[t, 1]] + l2 * Z[T[t, 2]] + if z < D[py, px]: + D[py, px] = z + + +if __name__ == "__main__": + h = np.load("horse.npz"); out = {} + for k in h.files: + if k.startswith("v_"): + tag = k[2:]; lo, g = sdf_grid(h[k], h["t_" + tag]) + out["lo_" + tag] = lo; out["g_" + tag] = g + print(tag, g.shape, "inside voxels", (g < 0).sum(), flush=True) + np.savez_compressed("horse_sdf.npz", **out) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/itemframes.py b/third_party/UO_Model3D_v13/pipeline/body13/itemframes.py new file mode 100644 index 0000000..b401755 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/itemframes.py @@ -0,0 +1,25 @@ +"""item / body frames from the extracted .vd files on the 136x120 UO canvas (anchor 68,86) used by the originals""" +import os, sys, numpy as np +HERE = os.path.dirname(os.path.abspath(__file__)) +sys.path.insert(0, os.path.join(HERE, "..", "..", "vdtool")) +import vdtool +VD = os.path.join(HERE, "mul", "anim_%04d.vd") + + +def load(anim): + _, blocks = vdtool.read_vd(VD % anim) + return {(b["action"], b["dir"]): b for b in blocks} + + +def canvas(blk, i, anchor=(68, 86), size=(136, 120)): + img = np.zeros((size[1], size[0], 4), np.uint8) + if blk is None or not blk["frames"] or i >= len(blk["frames"]): + return img + f = blk["frames"][i] + rgba = vdtool.frame_rgba(f, blk["palette"]) + h, w = rgba.shape[:2] + x0, y0 = anchor[0] - f["cx"], anchor[1] - f["cy"] - f["h"] + ys, xs = slice(max(y0, 0), min(y0 + h, size[1])), slice(max(x0, 0), min(x0 + w, size[0])) + if ys.stop > ys.start and xs.stop > xs.start: + img[ys, xs] = rgba[ys.start - y0:ys.stop - y0, xs.start - x0:xs.stop - x0] + return img diff --git a/third_party/UO_Model3D_v13/pipeline/body13/itemval.py b/third_party/UO_Model3D_v13/pipeline/body13/itemval.py new file mode 100644 index 0000000..f5e0dd5 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/itemval.py @@ -0,0 +1,136 @@ +"""item-level validation: body-hugging shell items (offset of the body skin, same weights) rendered like +render_uo_layer (limbs / head hide the item when > MARGIN in front, EXACT_BODY: only on the original body pixels) +and compared with the real UO item sprites from anim.mul. +usage: itemval.py model(v13|v12|v12c) [--items shirt,pants,...] [--out json] [--img png] [--shape s.json --poses p.json]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, json, base64, zlib, time, numpy as np +sys.path.insert(0, HERE) +from itemframes import load, canvas +from horse_sdf import depth_raster +from fk import rig_world +import fastr + +MODEL = sys.argv[1] +arg = lambda k, d: sys.argv[sys.argv.index(k) + 1] if k in sys.argv else d +ITEMS = { # name: (anim id, parts (UO bones, no side), thickness m, cut (bone, keep t > t0)) + "shirt": (434, ["pelvis", "spine", "chest", "clavicle", "upper_arm", "neck"], 0.012, None), + "plate": (527, ["pelvis", "spine", "chest", "clavicle", "neck"], 0.03, None), + "arms": (528, ["upper_arm", "forearm", "clavicle"], 0.025, None), + "pants": (431, ["pelvis", "thigh", "shin"], 0.012, None), + "legs": (529, ["pelvis", "thigh", "shin"], 0.03, None), + "boots": (477, ["shin", "foot"], 0.015, ("shin", 0.35)), + "gloves": (530, ["hand", "forearm"], 0.015, ("forearm", 0.55)), + "helm": (563, ["head"], 0.02, None), +} +SEL = arg("--items", ",".join(ITEMS)).split(",") +OCC = {"head", "upper_arm", "forearm", "hand", "thigh", "shin", "foot"} +MARGIN = 0.01 +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] +v = np.load("views_all.npz"); keys = [tuple(int(x) for x in k) for k in v["keys"]] +SUB = {"upper_arm_twist": "upper_arm", "forearm_twist": "forearm", "toe": "foot"} + + +def base_of(n): + b = n[:-2] if n.endswith((".L", ".R")) else n + return "hand" if b.startswith("finger") else SUB.get(b, b) + + +def normals(V, F4): + a, b, c, e = V[F4[:, 0]], V[F4[:, 1]], V[F4[:, 2]], V[F4[:, 3]] + fn = np.cross(c - a, e - b); n = np.zeros_like(V) + for k in range(4): np.add.at(n, F4[:, k], fn) + return n / np.maximum(np.linalg.norm(n, axis=1, keepdims=True), 1e-12) + + +if MODEL == "v13": + from shape13 import Shape, load_params + from skel13 import Skel13 + from posefit13 import Frame13 + r = np.load("rig_poses.npz"); bones = list(r["bones"]) + S = Shape(v["U"], v["BV"], v["BDOM"], bones); Vf = S.build(load_params(arg("--shape", "shape_r2.json")), full=True); V = Vf[S.used] + K = Skel13(S, r["R"], r["parent"], bones, Vf); P = json.load(open(arg("--poses", "poses13_r3.json"))) + names, SW, faces, R = K.names, K.SW, S.faces, K.R + fk = {tuple(int(x) for x in k): n for n, k in enumerate(r["keys"])} + def skin(n, a, i, d): + if "%d,%d" % (a, i) not in P: return None + f = fk[(a, i)] + fr = Frame13(K, None, None, None, None, r["Brel"], None, None, [], r["loc"][f], r["quat"][f]) + return fr.skin(np.array(P["%d,%d" % (a, i)]["x"])) +else: + m = np.load("v12_mesh.npz", allow_pickle=True); V = m["BV"]; SW = m["BW"] / np.maximum(m["BW"].sum(1, keepdims=True), 1e-9) + names = list(m["bones"]); faces = [list(f) for f in m["faces"]]; R = np.load("rig_poses.npz")["R"] + CORR = np.load("v12_corr.npz")["V"] if MODEL == "v12c" else None + def skin(n, a, i, d): + return np.linalg.inv(rig_world(d)) @ v["W"][n] + +F4 = np.array([f if len(f) == 4 else list(f) + [f[-1]] for f in faces]) +T = fastr.tris_of(faces) +dom = np.array([base_of(names[j]) for j in SW.argmax(1)]) +side = np.array([names[j][-2:] for j in SW.argmax(1)]) +occ_tri = T[np.isin(dom[T[:, 0]], list(OCC))] +idx, w = fastr.sparse_weights(SW) + + +def item_tris(parts, filt, Vr): + keep = np.isin(dom, parts) + if filt is not None: + bname, t0 = filt + for s in (".L", ".R"): + j = names.index(bname + s); h = R[j][:3, 3]; ax = R[j][:3, 1] + child = {"shin": "foot", "forearm": "hand"}[bname] + s + L = np.linalg.norm(R[names.index(child)][:3, 3] - h) + t = ((Vr - h) @ ax) / L + keep &= ~((dom == bname) & (side == s) & (t < t0)) + return T[keep[T].all(1)] + + +def lbs(Sk, X, Nr): + M = Sk[idx] # (N, k, 4, 4) + Mw = np.einsum("nk,nkij->nij", w, M) + Xp = np.einsum("nij,nj->ni", Mw[:, :3, :3], X) + Mw[:, :3, 3] + Np = np.einsum("nij,nj->ni", Mw[:, :3, :3], Nr) + return Xp, Np + + +def depth(Xw, Tt, C): + h = np.c_[Xw, np.ones(len(Xw))] @ C.T + D = np.full((120, 136), np.inf) + depth_raster(np.stack([(h[:, 0] + 1) * 68.0, (1 - h[:, 1]) * 60.0], 1), h[:, 2].copy(), Tt.astype(np.int32), D) + return D + + +its = {nm: load(ITEMS[nm][0]) for nm in SEL} +N0 = normals(V, F4); TR0 = {nm: item_tris(ITEMS[nm][1], ITEMS[nm][3], V) for nm in SEL} +stats = {nm: [] for nm in SEL}; imgs = {}; t0 = time.time() +for n, (a, i, d) in enumerate(keys): + Sk = skin(n, a, i, d) + if Sk is None: continue + Vr = CORR[n].astype(np.float64) if MODEL == "v12c" else V + Nr = N0 if MODEL != "v12c" else normals(Vr, F4) + Xb, Nb = lbs(Sk, Vr, Nr) + C = v["C"][n] @ rig_world(d); zs = np.linalg.norm(C[2, :3]) + Do = depth(Xb, occ_tri, C) + o = np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, i, d)])), np.uint8).reshape(120, 136, 4)[..., 3] > 0 + for nm in SEL: + gt = canvas(its[nm].get((a, d)), i)[..., 3] > 0 + if not gt.any(): continue + Xi = Xb + Nb * ITEMS[nm][2] + Di = depth(Xi, TR0[nm] if MODEL != "v12c" else item_tris(ITEMS[nm][1], ITEMS[nm][3], Vr), C) + vis = np.isfinite(Di) & ~((Do < Di - MARGIN * zs) & o) + stats[nm].append(((vis & gt).sum(), (vis | gt).sum(), (vis & ~gt).sum(), (gt & ~vis).sum())) + if "--img" in sys.argv and (a, i, d) in ((9, 2, 1), (9, 3, 3), (16, 3, 0), (12, 3, 2), (0, 3, 1)): + img = np.zeros((120, 136, 3), np.uint8) + 25; img[o] = 80 + img[vis & gt] = (190, 190, 190); img[vis & ~gt] = (230, 60, 60); img[gt & ~vis] = (60, 120, 255) + imgs.setdefault(nm, []).append(np.pad(img[18:100, 34:104], ((1, 1), (1, 1), (0, 0)), constant_values=90)) + if n % 200 == 0: print("view %d/%d %.0fs" % (n, len(keys), time.time() - t0), flush=True) +res = {} +for nm in SEL: + s = np.array(stats[nm], float); iou = s[:, 0] / np.maximum(s[:, 1], 1) + res[nm] = dict(iou=float(iou.mean()), out=float(s[:, 2].mean()), miss=float(s[:, 3].mean()), n=len(s)) + print("%-7s %-4s IoU %.3f outside %.1f missing %.1f (%d views)" % (nm, MODEL, iou.mean(), s[:, 2].mean(), s[:, 3].mean(), len(s)), flush=True) +json.dump(res, open(arg("--out", "itemval_%s.json" % MODEL), "w"), indent=1) +if imgs: + from PIL import Image + big = np.concatenate([np.concatenate(r_, 1) for r_ in imgs.values()], 0) + Image.fromarray(big).resize((big.shape[1] * 2, big.shape[0] * 2), Image.NEAREST).save(arg("--img", "itemval.png")) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/make_gif.py b/third_party/UO_Model3D_v13/pipeline/body13/make_gif.py new file mode 100644 index 0000000..ac117d3 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/make_gif.py @@ -0,0 +1,43 @@ +"""animated preview: rendered item layers composited over the ORIGINAL UO body frames (and the original horse in the +mounted actions), 5 directions side by side, drawn like the client: horse, body, then the equipment layers. +usage: make_gif.py out.gif action_name layer_dir [layer_dir ...] [--scale 3] [--ms 120]""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import sys, os, json, base64, zlib, numpy as np +from PIL import Image +args = [a for a in sys.argv[1:] if not a.startswith("--")] +opt = lambda k, d: type(d)(sys.argv[sys.argv.index(k) + 1]) if k in sys.argv else d +out, act, layers = args[0], args[1], [a for a in args[2:] if not a.replace(".", "").isdigit()] +SC = opt("--scale", 3); MS = opt("--ms", 120) +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] +HORSE = os.path.join(HERE, "..", "..", "client", "horse_0xC8_frames", "frames") +HORSE_OF = {23: 0, 24: 1, 25: 2, 26: 2, 27: 2, 28: 2, 29: 2} +CW, CH, AX, AY = 182, 153, 93, 106 # horse canvas; the body canvas (136x120, anchor 68,86) sits at +25,+20 +OX, OY = AX - 68, AY - 86 +a = int(act[:2]); frames = [] +i = 0 +while "%d,%d,0" % (a, i) in ORIG: + tiles = [] + for d in range(5): + img = np.zeros((CH, CW, 3), np.uint8) + 36 + if a in HORSE_OF: + ha = HORSE_OF[a]; hf = i if ha in (0, 1) else 0 + fn = os.path.join(HORSE, "%02d_action" % ha, "dir%d" % d, "%02d.png" % hf) + if os.path.exists(fn): + h = np.array(Image.open(fn).convert("RGBA")); m = h[..., 3] > 0; img[m] = h[m, :3] + o = np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, i, d)])), np.uint8).reshape(120, 136, 4) + sub_ = img[OY:OY + 120, OX:OX + 136] + m = o[..., 3] > 0; sub_[m] = o[m, :3] + order = [L for L in layers if "Cloak" not in L] + cloak = [L for L in layers if "Cloak" in L] + order = (order + cloak) if d >= 3 else (cloak + order) # the cloak is behind the body facing the camera + for L in order: + for sub in ("clothing", "all"): + fn = os.path.join(L, sub, "frames", act, "dir%d" % d, "%02d.png" % i) + if os.path.exists(fn): + it = np.array(Image.open(fn).convert("RGBA")); m = it[..., 3] > 0; sub_[m] = it[m, :3]; break + tiles.append(img[8:150, 20:162]) + frames.append(Image.fromarray(np.concatenate(tiles, 1)).resize((142 * 5 * SC, 142 * SC), Image.NEAREST)) + i += 1 +frames[0].save(out, save_all=True, append_images=frames[1:], duration=MS, loop=0, optimize=True) +print(out, len(frames), "frames") diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mh/base.obj b/third_party/UO_Model3D_v13/pipeline/body13/mh/base.obj new file mode 100644 index 0000000..d26635e --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mh/base.obj @@ -0,0 +1,59167 @@ +# This is a mesh file for MakeHuman +# +# This asset was explicitly released as CC0 in september 2020. The license +# text for CC0 can be found in the root of this repository. +# +# The copyright holders at the point of the release to CC0 were: +# +# Copyright (C) 2020 Data Collection AB, https://www.datacollection.se +# Copyright (C) 2020 Joel Palmius +# Copyright (C) 2020 Jonas Hauquier +# +# The primary legal contact for MakeHuman is Data Collection AB. +# +# For more information, see homepage at http://www.makehumancommunity.org +# +# basemesh hm08 +v -0.3492 7.3299 1.4076 +v -0.3110 7.3315 1.4107 +v -0.3481 7.3465 1.4062 +v -0.3095 7.3456 1.4117 +v -0.3487 7.3574 1.4039 +v -0.3080 7.3566 1.4103 +v -0.3835 7.3242 1.4009 +v -0.3849 7.3413 1.3972 +v -0.3886 7.3508 1.3930 +v -0.4099 7.3169 1.3895 +v -0.4154 7.3310 1.3850 +v -0.4230 7.3390 1.3777 +v -0.4279 7.3066 1.3788 +v -0.4363 7.3188 1.3727 +v -0.4462 7.3246 1.3650 +v -0.4337 7.3008 1.3734 +v -0.4473 7.3085 1.3624 +v -0.4582 7.3114 1.3514 +v -0.4385 7.2937 1.3653 +v -0.4521 7.2991 1.3548 +v -0.4638 7.3001 1.3420 +v -0.4394 7.2874 1.3580 +v -0.4531 7.2897 1.3462 +v -0.4645 7.2899 1.3358 +v -0.4367 7.2823 1.3550 +v -0.4513 7.2810 1.3462 +v -0.4631 7.2784 1.3355 +v -0.4336 7.2755 1.3562 +v -0.4463 7.2714 1.3465 +v -0.4584 7.2665 1.3339 +v -0.4249 7.2677 1.3656 +v -0.4313 7.2544 1.3572 +v -0.4422 7.2435 1.3469 +v -0.4086 7.2570 1.3768 +v -0.4142 7.2427 1.3697 +v -0.4237 7.2315 1.3630 +v -0.3865 7.2481 1.3873 +v -0.3927 7.2332 1.3822 +v -0.3976 7.2201 1.3774 +v -0.3597 7.2113 1.3915 +v -0.3536 7.2243 1.3969 +v -0.3519 7.2406 1.4016 +v -0.3161 7.2096 1.4009 +v -0.3097 7.2215 1.3981 +v -0.3109 7.2395 1.4046 +v -0.2708 7.2133 1.3995 +v -0.2696 7.2240 1.3978 +v -0.2760 7.2434 1.3986 +v -0.2322 7.2216 1.3934 +v -0.2332 7.2327 1.3932 +v -0.2410 7.2478 1.3915 +v -0.1856 7.2391 1.3849 +v -0.1937 7.2438 1.3837 +v -0.2100 7.2549 1.3795 +v -0.2725 7.3227 1.4055 +v -0.2682 7.3372 1.4082 +v -0.2655 7.3477 1.4080 +v -0.2353 7.3097 1.3949 +v -0.2303 7.3232 1.4012 +v -0.2265 7.3319 1.4044 +v -0.2093 7.2945 1.3918 +v -0.2016 7.3061 1.3992 +v -0.1964 7.3135 1.4020 +v -0.1817 7.2799 1.3835 +v -0.1740 7.2840 1.3989 +v -0.1678 7.2859 1.4006 +v -0.1752 7.2736 1.3807 +v -0.1676 7.2761 1.3942 +v -0.1612 7.2762 1.3998 +v -0.1757 7.2671 1.3781 +v -0.1651 7.2673 1.3918 +v -0.1583 7.2656 1.3982 +v -0.1846 7.2588 1.3761 +v -0.1675 7.2576 1.3887 +v -0.1602 7.2545 1.3936 +v -0.4442 7.1992 1.3345 +v -0.4129 7.1829 1.3539 +v -0.3698 7.1722 1.3779 +v -0.3179 7.1697 1.3913 +v -0.2625 7.1760 1.3983 +v -0.2145 7.1901 1.3934 +v -0.1632 7.2214 1.3891 +v -0.4636 7.3308 1.3402 +v -0.4784 7.3149 1.3273 +v -0.4841 7.3014 1.3195 +v -0.4865 7.2885 1.3154 +v -0.4867 7.2742 1.3131 +v -0.4841 7.2563 1.3099 +v -0.4668 7.2202 1.3182 +v -0.3502 7.3738 1.3999 +v -0.3059 7.3734 1.4073 +v -0.3950 7.3657 1.3825 +v -0.4351 7.3502 1.3646 +v -0.2593 7.3638 1.4106 +v -0.2157 7.3477 1.4120 +v -0.1821 7.3289 1.4127 +v -0.1484 7.2937 1.4117 +v -0.1422 7.2787 1.4114 +v -0.1409 7.2631 1.4091 +v -0.1454 7.2447 1.3996 +v -0.1850 7.2941 1.3984 +v -0.1788 7.2987 1.4006 +v -0.1952 7.2848 1.3878 +v -0.1603 7.3103 1.4108 +v -0.1293 7.2967 1.4247 +v -0.1230 7.2788 1.4229 +v -0.1225 7.2601 1.4202 +v -0.1299 7.2378 1.4160 +v -0.1424 7.3165 1.4256 +v -0.1055 7.3001 1.4449 +v -0.0994 7.2784 1.4428 +v -0.1003 7.2567 1.4412 +v -0.1089 7.2300 1.4365 +v -0.1185 7.3232 1.4463 +v -0.0812 7.3069 1.4700 +v -0.0757 7.2801 1.4686 +v -0.0780 7.2537 1.4677 +v -0.0886 7.2217 1.4606 +v -0.0925 7.3326 1.4701 +v -0.0645 7.1705 1.5077 +v -0.0550 7.3120 1.4910 +v -0.0515 7.2837 1.4905 +v -0.0546 7.2526 1.4908 +v -0.0666 7.2112 1.4883 +v -0.0635 7.3397 1.4918 +v -0.0332 7.1876 1.5278 +v -0.0285 7.3178 1.5032 +v -0.0271 7.2876 1.5044 +v -0.0286 7.2574 1.5094 +v -0.0320 7.2270 1.5145 +v -0.0325 7.3464 1.5046 +v 0.0000 7.1963 1.5364 +v 0.0000 7.3231 1.5057 +v 0.0000 7.2916 1.5075 +v 0.0000 7.2609 1.5139 +v 0.0000 7.2330 1.5223 +v 0.0000 7.3512 1.5074 +v -0.4629 7.1764 1.3244 +v -0.4293 7.1566 1.3512 +v -0.3800 7.1439 1.3790 +v -0.3206 7.1429 1.4010 +v -0.2588 7.1514 1.4109 +v -0.2058 7.1688 1.4096 +v -0.1493 7.2102 1.4061 +v -0.4751 7.3375 1.3299 +v -0.4933 7.3189 1.3127 +v -0.5023 7.3029 1.3045 +v -0.5057 7.2873 1.2995 +v -0.5062 7.2697 1.2954 +v -0.5048 7.2491 1.2949 +v -0.4867 7.2021 1.3059 +v -0.3519 7.3856 1.4022 +v -0.3021 7.3866 1.4130 +v -0.4008 7.3749 1.3820 +v -0.4443 7.3569 1.3554 +v -0.2503 7.3772 1.4203 +v -0.2023 7.3590 1.4248 +v -0.1654 7.3380 1.4262 +v -0.5241 7.3044 1.2854 +v -0.5140 7.3239 1.2961 +v -0.4922 7.3462 1.3167 +v -0.1712 6.9974 1.4719 +v -0.0630 7.0869 1.5560 +v -0.0341 7.0978 1.5712 +v 0.0000 7.1046 1.5830 +v -0.1407 7.3489 1.4460 +v -0.1115 7.3603 1.4700 +v -0.0780 7.3703 1.4932 +v -0.0382 7.3767 1.5049 +v 0.0000 7.3820 1.5092 +v -0.3522 7.4063 1.4055 +v -0.2928 7.4090 1.4238 +v -0.4086 7.3923 1.3801 +v -0.4578 7.3693 1.3463 +v -0.2324 7.3982 1.4402 +v -0.1783 7.3762 1.4482 +v -0.3500 7.4301 1.4111 +v -0.2774 7.4333 1.4379 +v -0.4139 7.4161 1.3779 +v -0.4688 7.3916 1.3399 +v -0.2048 7.4222 1.4612 +v -0.1485 7.3935 1.4693 +v -0.1297 7.1108 1.4680 +v -0.4495 7.1260 1.3467 +v -0.2034 6.9603 1.4628 +v -0.5289 7.2854 1.2797 +v -0.5301 7.2637 1.2749 +v -0.5283 7.2387 1.2727 +v -0.5485 7.3092 1.2618 +v -0.5349 7.3362 1.2779 +v -0.5087 7.3639 1.3054 +v -0.3942 7.1108 1.3816 +v -0.4303 7.0406 1.3772 +v -0.5543 7.2842 1.2539 +v -0.5579 7.2557 1.2486 +v -0.5538 7.2253 1.2462 +v -0.5333 7.1598 1.2713 +v -0.1577 6.9774 1.4854 +v -0.0897 7.0410 1.5597 +v -0.0637 7.0525 1.5817 +v -0.0367 7.0608 1.5991 +v 0.0000 7.0665 1.6080 +v -0.1146 7.0251 1.5359 +v -0.1811 6.9431 1.4736 +v -0.3400 7.4636 1.4197 +v -0.2558 7.4685 1.4553 +v -0.4149 7.4468 1.3788 +v -0.4771 7.4194 1.3337 +v -0.1615 7.4572 1.4891 +v -0.1063 7.4100 1.4934 +v -0.5678 7.3179 1.2363 +v -0.5501 7.3521 1.2581 +v -0.5244 7.3859 1.2923 +v -0.4954 7.0618 1.3262 +v -0.0974 7.1406 1.4862 +v -0.5758 7.2838 1.2229 +v -0.5823 7.2474 1.2170 +v -0.5814 7.2108 1.2177 +v -0.5599 7.1351 1.2453 +v -0.5278 7.0229 1.2994 +v 0.0000 7.4266 1.5172 +v -0.0493 7.4194 1.5109 +v -0.3373 7.5016 1.4232 +v -0.2494 7.5124 1.4654 +v -0.4188 7.4819 1.3766 +v -0.4833 7.4515 1.3256 +v -0.1703 8.1089 1.3046 +v 0.0000 7.4664 1.5241 +v -0.0682 7.4647 1.5153 +v -0.3382 7.5411 1.4241 +v -0.2470 7.5533 1.4692 +v -0.4230 7.5184 1.3726 +v -0.4918 7.4836 1.3153 +v -0.1537 7.5145 1.5027 +v 0.0000 7.5158 1.5294 +v -0.0669 7.5153 1.5215 +v -0.1475 7.5580 1.5072 +v 0.0000 7.5602 1.5335 +v -0.0636 7.5578 1.5258 +v -0.3787 7.7833 1.3533 +v -0.2693 7.8177 1.4145 +v -0.4891 7.7355 1.2824 +v -0.5776 7.6691 1.1867 +v -0.1581 7.7103 1.4952 +v 0.0000 7.7191 1.5139 +v -0.0601 7.7176 1.5103 +v -0.4233 7.9395 1.2634 +v -0.2970 7.9828 1.3317 +v -0.5406 7.8719 1.1777 +v -0.6219 7.7734 1.0755 +v -0.1623 7.8373 1.4528 +v 0.0000 7.8495 1.4727 +v -0.0614 7.8478 1.4683 +v -0.5859 7.3265 1.2062 +v -0.5645 7.3710 1.2353 +v -0.5340 7.4121 1.2771 +v -0.5999 7.2851 1.1877 +v -0.6036 7.2411 1.1786 +v -0.6041 7.1961 1.1802 +v -0.5864 7.1073 1.2137 +v -0.6000 7.3369 1.1691 +v -0.5766 7.3882 1.2082 +v -0.5411 7.4381 1.2573 +v -0.6163 7.2857 1.1434 +v -0.6675 7.3927 0.9465 +v -0.6492 7.4938 1.0074 +v -0.6246 7.5836 1.0922 +v -0.6829 7.2872 0.9030 +v -0.6905 7.1870 0.8833 +v -0.6879 7.0890 0.8745 +v -0.6613 6.9044 0.9022 +v -0.6802 7.5466 0.9105 +v -0.6671 7.6650 0.9799 +v -0.6872 7.7052 0.9211 +v -0.0872 6.8778 1.6197 +v -0.0788 6.8862 1.6365 +v -0.0884 6.9178 1.6368 +v -0.0959 6.9671 1.6192 +v -0.0945 6.9913 1.6037 +v -0.0938 7.0160 1.5862 +v -0.1224 6.9827 1.5822 +v -0.1150 7.0033 1.5569 +v -0.1590 6.9502 1.5261 +v -0.1592 6.9636 1.5117 +v -0.1705 6.9265 1.5018 +v -0.0806 6.8130 1.5317 +v -0.1394 6.8387 1.5004 +v -0.1360 6.8975 1.5808 +v -0.1645 6.8614 1.4846 +v -0.0664 7.0244 1.6078 +v -0.0369 7.0300 1.6221 +v 0.0000 7.0340 1.6310 +v -0.0674 6.9707 1.6438 +v -0.0348 6.9707 1.6595 +v 0.0000 6.9688 1.6689 +v -0.0589 6.9167 1.6614 +v -0.0295 6.9138 1.6740 +v 0.0000 6.9090 1.6807 +v -0.0645 6.8610 1.6160 +v -0.0543 6.8607 1.6252 +v -0.0520 6.8851 1.6553 +v -0.0267 6.8828 1.6633 +v 0.0000 6.8809 1.6678 +v -0.0524 6.8462 1.5955 +v -0.0429 6.8396 1.6025 +v -0.0380 6.8600 1.6294 +v -0.0198 6.8565 1.6344 +v 0.0000 6.8540 1.6405 +v -0.0520 6.8310 1.5753 +v -0.0429 6.8234 1.5770 +v -0.0289 6.8351 1.6014 +v -0.0151 6.8304 1.6038 +v 0.0000 6.8268 1.6033 +v -0.0577 6.8206 1.5522 +v -0.0534 6.8064 1.5529 +v -0.0266 6.8159 1.5762 +v -0.0125 6.8110 1.5740 +v 0.0000 6.8053 1.5732 +v -0.1582 6.8652 1.5081 +v -0.1545 6.8867 1.5472 +v -0.1300 6.8468 1.5104 +v -0.1217 6.8712 1.5804 +v -0.1292 6.8845 1.5809 +v -0.1458 6.8725 1.5537 +v -0.1383 6.8643 1.5579 +v -0.1395 6.8588 1.5234 +v -0.1512 6.8558 1.5226 +v -0.0878 6.8705 1.6079 +v -0.0701 6.8608 1.6082 +v -0.0557 6.8528 1.5889 +v -0.0575 6.8394 1.5716 +v -0.0629 6.8328 1.5510 +v -0.0816 6.8281 1.5333 +v -0.1147 6.8247 1.5118 +v -0.1137 6.8360 1.5145 +v -0.1145 6.9187 1.6104 +v -0.1584 6.8999 1.5424 +v -0.1687 6.8810 1.5072 +v -0.1226 6.9613 1.5938 +v -0.1606 6.9375 1.5347 +v -0.1694 6.9232 1.5139 +v -0.0306 6.7987 1.5627 +v -0.0139 6.7923 1.5677 +v 0.0000 6.7894 1.5627 +v -0.1227 6.8527 1.5189 +v -0.1105 6.8754 1.5650 +v -0.1265 6.8671 1.5518 +v -0.1263 6.8633 1.5292 +v -0.0834 6.8718 1.5892 +v -0.0719 6.8678 1.5885 +v -0.0601 6.8636 1.5793 +v -0.0575 6.8521 1.5634 +v -0.0665 6.8417 1.5483 +v -0.0818 6.8383 1.5350 +v -0.1095 6.8441 1.5203 +v -0.0719 6.7401 1.5606 +v -0.0459 6.7328 1.5767 +v -0.0177 6.7243 1.5742 +v -0.1509 6.8366 1.4881 +v -0.0824 6.8000 1.5334 +v -0.1191 6.8080 1.5131 +v -0.2714 6.5934 1.4105 +v 0.0000 6.7216 1.5706 +v -0.2427 6.6597 1.4614 +v -0.1012 6.8830 1.6111 +v -0.0983 6.8722 1.6011 +v -0.0972 6.8700 1.5868 +v -0.1078 6.8985 1.6121 +v -0.2662 6.6353 1.4323 +v -0.2745 6.6089 1.4133 +v -0.1889 6.5242 1.4650 +v -0.2293 6.5555 1.4342 +v -0.2121 6.7520 1.4771 +v -0.2515 6.5730 1.4189 +v -0.2083 6.7215 1.4830 +v -0.2087 6.6897 1.4875 +v -0.2499 6.7048 1.4565 +v -0.2454 6.6823 1.4611 +v -0.2731 6.6485 1.4294 +v -0.2880 6.6087 1.4086 +v -0.2886 6.5836 1.4023 +v -0.1123 6.8622 1.5318 +v -0.1041 6.8724 1.5641 +v -0.1139 6.8699 1.5486 +v -0.1180 6.8663 1.5360 +v -0.0863 6.8735 1.5791 +v -0.0805 6.8718 1.5752 +v -0.0729 6.8685 1.5694 +v -0.0718 6.8621 1.5571 +v -0.0794 6.8554 1.5450 +v -0.0881 6.8510 1.5367 +v -0.1014 6.8563 1.5318 +v -0.0945 6.8736 1.5739 +v -0.0970 6.8722 1.5567 +v -0.1050 6.8686 1.5441 +v -0.0892 6.8736 1.5666 +v -0.0856 6.8685 1.5537 +v -0.0930 6.8636 1.5421 +v -0.0820 6.8713 1.5625 +v -0.2605 6.5474 1.4121 +v -0.2348 6.5269 1.4279 +v -0.1917 6.5040 1.4544 +v -0.2668 6.6089 1.4153 +v -0.2640 6.5973 1.4128 +v -0.2484 6.5809 1.4202 +v -0.2280 6.5663 1.4363 +v -0.1865 6.5429 1.4728 +v -0.2599 6.6281 1.4354 +v -0.2391 6.6458 1.4619 +v -0.1091 6.7162 1.5654 +v -0.1787 6.6870 1.5235 +v -0.2108 6.6670 1.4958 +v -0.2343 6.6355 1.4617 +v -0.2069 6.6549 1.4962 +v -0.2296 6.6289 1.4632 +v -0.2025 6.6447 1.4964 +v -0.2209 6.6155 1.4585 +v -0.1906 6.6245 1.4879 +v -0.2117 6.6149 1.4488 +v -0.1846 6.6147 1.4854 +v -0.2073 6.6171 1.4402 +v -0.1728 6.6165 1.4685 +v -0.2589 6.6096 1.4172 +v -0.2565 6.6022 1.4118 +v -0.2538 6.6208 1.4374 +v -0.2528 6.6087 1.4196 +v -0.2528 6.6048 1.4139 +v -0.2466 6.6167 1.4373 +v -0.2463 6.6094 1.4174 +v -0.2464 6.6078 1.4142 +v -0.2335 6.6131 1.4352 +v -0.2428 6.6108 1.4115 +v -0.2439 6.6095 1.4072 +v -0.2273 6.6132 1.4314 +v -0.2409 6.6143 1.3990 +v -0.2441 6.6120 1.3935 +v -0.2221 6.6167 1.4227 +v -0.2107 6.6062 1.4261 +v -0.2117 6.6017 1.4370 +v -0.2197 6.5879 1.4440 +v -0.2240 6.5787 1.4421 +v -0.2426 6.5891 1.4230 +v -0.2379 6.5951 1.4249 +v -0.2312 6.6041 1.4211 +v -0.2294 6.6068 1.4117 +v -0.2313 6.6077 1.3948 +v -0.2174 6.6082 1.4041 +v -0.1782 6.6749 1.5289 +v -0.1755 6.6645 1.5267 +v -0.1626 6.6307 1.5184 +v -0.0515 6.7093 1.5955 +v -0.1105 6.7010 1.5703 +v -0.1088 6.6885 1.5729 +v -0.1045 6.6418 1.5566 +v -0.0224 6.6983 1.5975 +v 0.0000 6.6960 1.5973 +v -0.0799 6.7186 1.5853 +v -0.0806 6.7047 1.5880 +v -0.0803 6.6946 1.5905 +v -0.0770 6.6413 1.5657 +v -0.0532 6.6957 1.5957 +v -0.0533 6.6840 1.5955 +v -0.0500 6.6352 1.5722 +v -0.0230 6.6839 1.5992 +v -0.0233 6.6742 1.5981 +v -0.0198 6.6295 1.5775 +v 0.0000 6.6826 1.6019 +v 0.0000 6.6712 1.6012 +v 0.0000 6.6297 1.5778 +v -0.1560 6.6146 1.5163 +v -0.1014 6.6133 1.5452 +v -0.0761 6.6127 1.5452 +v -0.0466 6.6114 1.5488 +v -0.0215 6.6095 1.5497 +v 0.0000 6.6081 1.5530 +v -0.1638 6.6063 1.4586 +v -0.1724 6.5999 1.4789 +v -0.1824 6.5773 1.4785 +v -0.1837 6.5617 1.4765 +v -0.1297 6.4750 1.4831 +v -0.1296 6.5135 1.5116 +v -0.1107 6.6043 1.5170 +v -0.1151 6.5928 1.5173 +v -0.1234 6.5648 1.5253 +v -0.1277 6.5406 1.5168 +v -0.0534 6.4615 1.5001 +v -0.0571 6.4953 1.5417 +v -0.0508 6.6011 1.5345 +v -0.0511 6.5899 1.5419 +v -0.0528 6.5544 1.5535 +v -0.0544 6.5296 1.5489 +v 0.0000 6.4583 1.5032 +v 0.0000 6.4885 1.5565 +v 0.0000 6.6014 1.5396 +v 0.0000 6.5885 1.5512 +v 0.0000 6.5563 1.5657 +v 0.0000 6.5271 1.5616 +v -0.1960 6.6324 1.4904 +v -0.2243 6.6214 1.4612 +v -0.2391 6.6143 1.4354 +v -0.2494 6.6089 1.4192 +v -0.2490 6.6067 1.4168 +v -0.2148 6.5957 1.4419 +v -0.2339 6.6002 1.4251 +v -0.1680 6.6470 1.5218 +v -0.1061 6.6645 1.5641 +v -0.0785 6.6660 1.5776 +v -0.0515 6.6581 1.5828 +v -0.0214 6.6509 1.5860 +v 0.0000 6.6491 1.5887 +v -0.1786 6.5903 1.4819 +v -0.1196 6.5797 1.5248 +v -0.0517 6.5710 1.5529 +v 0.0000 6.5736 1.5593 +v -0.0734 6.6198 1.5117 +v -0.0949 6.6198 1.5073 +v -0.1437 6.6183 1.4834 +v -0.0508 6.6061 1.5312 +v -0.1044 6.6070 1.5077 +v -0.1587 6.6097 1.4430 +v 0.0000 6.6149 1.5144 +v -0.0190 6.6182 1.5076 +v -0.0423 6.6183 1.5080 +v 0.0000 6.6057 1.5271 +v -0.2060 6.6242 1.4296 +v -0.1667 6.6268 1.4544 +v -0.2419 6.6201 1.3812 +v -0.2496 6.6150 1.3739 +v -0.2188 6.6233 1.4103 +v -0.2395 6.6060 1.3714 +v -0.2122 6.6045 1.3880 +v -0.0726 6.6296 1.5043 +v -0.0932 6.6295 1.4988 +v -0.1419 6.6290 1.4737 +v -0.0552 6.6022 1.5105 +v -0.0960 6.6069 1.4920 +v -0.1800 6.6042 1.4117 +v 0.0000 6.6269 1.5109 +v -0.0181 6.6293 1.5068 +v -0.0432 6.6290 1.5065 +v 0.0000 6.6025 1.5086 +v -0.1935 6.6473 1.4142 +v -0.1564 6.6530 1.4395 +v -0.2469 6.6278 1.3634 +v -0.2560 6.6169 1.3576 +v -0.2095 6.6433 1.3952 +v -0.2293 6.5900 1.3595 +v -0.2008 6.5821 1.3712 +v -0.0641 6.6646 1.4964 +v -0.0863 6.6632 1.4847 +v -0.1293 6.6608 1.4602 +v -0.0638 6.5879 1.4881 +v -0.1087 6.5914 1.4663 +v -0.1714 6.5851 1.3907 +v 0.0000 6.6497 1.5070 +v -0.0156 6.6555 1.5042 +v -0.0386 6.6610 1.5013 +v 0.0000 6.5769 1.4964 +v -0.1866 6.6875 1.4128 +v -0.1537 6.6972 1.4363 +v -0.2483 6.6469 1.3563 +v -0.2608 6.6206 1.3457 +v -0.2064 6.6797 1.3937 +v -0.2287 6.5644 1.3518 +v -0.1979 6.5513 1.3674 +v -0.0613 6.7079 1.4968 +v -0.0826 6.7088 1.4842 +v -0.1253 6.7047 1.4592 +v -0.0618 6.5454 1.4851 +v -0.1158 6.5529 1.4541 +v -0.1658 6.5508 1.3916 +v 0.0000 6.6996 1.5078 +v -0.0153 6.7031 1.5052 +v -0.0370 6.7051 1.5031 +v 0.0000 6.5366 1.5060 +v -0.1817 6.7275 1.4092 +v -0.1462 6.7360 1.4338 +v -0.2529 6.6678 1.3467 +v -0.2661 6.6258 1.3340 +v -0.2044 6.7166 1.3895 +v -0.2283 6.5462 1.3437 +v -0.1950 6.5272 1.3617 +v -0.0583 6.7531 1.4915 +v -0.0785 6.7523 1.4802 +v -0.1234 6.7486 1.4534 +v -0.0588 6.5076 1.4783 +v -0.1181 6.5138 1.4418 +v -0.1605 6.5210 1.3876 +v 0.0000 6.7438 1.4999 +v -0.0150 6.7470 1.4997 +v -0.0355 6.7511 1.4972 +v 0.0000 6.5078 1.4967 +v -0.1820 6.7751 1.3917 +v -0.1482 6.7900 1.4128 +v -0.2650 6.6940 1.3273 +v -0.2779 6.6315 1.3127 +v -0.2082 6.7604 1.3730 +v -0.2324 6.5199 1.3200 +v -0.1967 6.4905 1.3374 +v -0.0576 6.8087 1.4671 +v -0.0787 6.8088 1.4566 +v -0.1220 6.8004 1.4259 +v -0.0453 6.4514 1.4311 +v -0.1245 6.4617 1.3916 +v -0.1598 6.4756 1.3583 +v 0.0000 6.7929 1.4682 +v -0.0139 6.7987 1.4730 +v -0.0325 6.8049 1.4722 +v 0.0000 6.4527 1.4237 +v -0.1958 6.8384 1.3303 +v -0.1605 6.8586 1.3405 +v -0.2915 6.7249 1.2797 +v -0.3041 6.6441 1.2665 +v -0.2273 6.8172 1.3175 +v -0.2526 6.4990 1.2673 +v -0.2110 6.4574 1.2795 +v -0.0589 6.8865 1.3799 +v -0.0864 6.8853 1.3723 +v -0.1317 6.8717 1.3506 +v -0.0609 6.4006 1.3471 +v -0.1239 6.4239 1.3224 +v -0.1707 6.4336 1.2949 +v 0.0000 6.8644 1.3795 +v -0.0117 6.8728 1.3849 +v -0.0341 6.8815 1.3839 +v 0.0000 6.4046 1.3379 +v -0.2107 6.8989 1.2153 +v -0.1826 6.9165 1.2171 +v -0.3168 6.7538 1.1754 +v -0.3265 6.6590 1.1653 +v -0.2453 6.8739 1.2113 +v -0.2722 6.4891 1.1623 +v -0.2319 6.4651 1.1622 +v -0.0670 6.9602 1.2344 +v -0.0955 6.9582 1.2311 +v -0.1498 6.9338 1.2219 +v -0.0629 6.3950 1.1847 +v -0.1384 6.4141 1.1784 +v -0.1914 6.4407 1.1698 +v 0.0000 6.9294 1.2385 +v -0.0131 6.9423 1.2400 +v -0.0399 6.9540 1.2373 +v 0.0000 6.3689 1.1989 +v -0.2536 6.9334 1.0263 +v -0.2237 6.9525 1.0268 +v -0.3579 6.7824 1.0112 +v -0.3636 6.6746 1.0023 +v -0.2892 6.9064 1.0237 +v -0.2959 6.4890 1.0158 +v -0.2528 6.4658 1.0062 +v -0.0861 6.9937 1.0308 +v -0.1223 6.9938 1.0301 +v -0.1889 6.9669 1.0251 +v -0.0741 6.4084 1.0210 +v -0.1495 6.4225 1.0159 +v -0.2122 6.4361 1.0090 +v 0.0000 6.9572 1.0474 +v -0.0145 6.9713 1.0380 +v -0.0501 6.9853 1.0334 +v 0.0000 6.3912 1.0281 +v -0.2481 6.8989 0.8262 +v -0.2153 6.9194 0.8276 +v -0.3602 6.7525 0.8097 +v -0.3507 6.6645 0.8067 +v -0.2866 6.8691 0.8230 +v -0.2980 6.4903 0.8227 +v -0.2775 6.3915 0.8046 +v -0.0834 6.9559 0.8306 +v -0.1179 6.9555 0.8294 +v -0.1814 6.9308 0.8245 +v -0.0824 6.2380 0.6836 +v -0.1707 6.2753 0.7114 +v -0.2452 6.3224 0.7469 +v 0.0000 6.9265 0.8525 +v -0.0160 6.9401 0.8449 +v -0.0501 6.9500 0.8341 +v 0.0000 6.2249 0.6917 +v -0.2162 6.8013 0.6560 +v -0.1812 6.8158 0.6610 +v -0.3223 6.7000 0.6330 +v -0.3085 6.6440 0.6113 +v -0.2557 6.7802 0.6489 +v -0.2150 6.5227 0.6022 +v -0.2076 6.4366 0.6030 +v -0.0687 6.8409 0.6685 +v -0.0933 6.8406 0.6676 +v -0.1460 6.8211 0.6726 +v -0.0649 6.3166 0.6148 +v -0.1129 6.3387 0.6082 +v -0.1663 6.3775 0.6100 +v 0.0000 6.8243 0.6889 +v -0.0169 6.8296 0.6777 +v -0.0378 6.8363 0.6715 +v 0.0000 6.3045 0.6199 +v -0.1512 6.6758 0.5712 +v -0.1411 6.6967 0.5686 +v -0.2283 6.6487 0.5602 +v -0.2120 6.6136 0.5639 +v -0.1668 6.6692 0.5692 +v -0.1665 6.5672 0.5695 +v -0.1497 6.5491 0.5734 +v -0.0521 6.7037 0.5692 +v -0.0733 6.6881 0.5722 +v -0.1141 6.7036 0.5674 +v -0.0445 6.5182 0.5744 +v -0.0824 6.5298 0.5788 +v -0.1233 6.5326 0.5696 +v 0.0000 6.6804 0.5890 +v -0.0174 6.6840 0.5875 +v -0.0315 6.7010 0.5711 +v 0.0000 6.5256 0.5873 +v -0.2815 6.6644 1.4263 +v -0.3065 6.6044 1.3970 +v -0.2584 7.6950 1.4579 +v -0.3541 7.6680 1.4028 +v -0.4513 7.6307 1.3389 +v -0.5313 7.5811 1.2620 +v -0.6451 7.3655 1.0419 +v -0.6617 7.2822 1.0035 +v -0.6221 7.4458 1.0994 +v -0.5861 7.5163 1.1785 +v -0.1923 6.4724 1.4401 +v -0.1292 6.4472 1.4675 +v -0.0537 6.4311 1.4834 +v 0.0000 6.4303 1.4908 +v -0.3026 6.5761 1.3928 +v -0.0638 6.1680 1.3410 +v -0.1443 6.1869 1.3181 +v -0.1309 6.4115 1.4639 +v -0.2693 6.5259 1.4039 +v -0.2374 6.5013 1.4219 +v -0.0584 6.3945 1.4866 +v 0.0000 6.1683 1.3778 +v 0.0000 6.3877 1.4983 +v -0.1941 6.4353 1.4294 +v -0.5552 6.6510 1.0493 +v -0.6007 6.7262 0.9796 +v -0.5091 6.5107 1.0424 +v -0.5729 6.7387 0.6068 +v -0.5527 6.5791 0.7813 +v -0.5123 6.4917 0.8663 +v -0.4745 6.4321 0.9384 +v -0.4429 6.3880 1.0012 +v -0.3558 6.2998 1.1108 +v -0.0590 6.1675 1.2867 +v -0.4884 6.5532 0.6252 +v -0.1377 6.1857 1.2578 +v 0.0000 6.1614 1.3455 +v -0.5059 6.6051 0.5364 +v -0.4489 6.4929 0.5913 +v -0.4674 6.5281 0.5065 +v -0.4069 6.3838 0.5431 +v -0.4411 6.4271 0.4679 +v -0.4071 6.2480 0.4841 +v -0.4329 6.2985 0.4171 +v -0.4192 6.0961 0.4120 +v -0.4327 6.1222 0.3386 +v -0.4582 5.9302 0.3306 +v -0.4828 5.9669 0.2557 +v -0.5318 5.7939 0.2605 +v -0.5447 5.8062 0.1857 +v -0.4310 6.4330 0.7762 +v -0.4631 6.4903 0.7063 +v -0.3857 6.3902 0.7128 +v -0.4192 6.4340 0.6585 +v -0.3416 6.3137 0.6373 +v -0.3742 6.3577 0.5860 +v -0.3353 6.1829 0.5737 +v -0.3792 6.2132 0.5413 +v -0.3704 6.0409 0.5352 +v -0.3945 6.0668 0.4781 +v -0.4082 5.8940 0.4662 +v -0.4395 5.9111 0.4017 +v -0.4802 5.7613 0.3913 +v -0.5021 5.7730 0.3338 +v -0.4001 6.3906 0.8362 +v -0.2934 6.1560 0.5989 +v -0.3305 6.0164 0.5724 +v -0.3735 5.8714 0.5245 +v -0.4484 5.7350 0.4631 +v 0.0000 6.1588 1.2949 +v -0.0562 6.1744 1.1324 +v -0.1238 6.1969 1.0977 +v 0.0000 6.1645 1.1405 +v -0.3135 6.2867 0.9835 +v -0.0520 6.1791 1.0110 +v -0.1103 6.1937 0.9846 +v 0.0000 6.1687 1.0302 +v -0.2707 6.2766 0.8815 +v -0.0378 6.1645 0.8488 +v -0.0815 6.1726 0.8335 +v 0.0000 6.1615 0.8517 +v -0.2164 6.2046 0.7584 +v -0.0286 6.0729 0.7447 +v -0.1529 6.0866 0.7036 +v -0.0653 6.0764 0.7335 +v -0.1805 5.6504 0.7008 +v 0.0000 6.0719 0.7456 +v -0.1924 6.1019 0.6761 +v -0.0339 5.9333 0.7084 +v -0.1589 5.9601 0.6541 +v -0.0733 5.9356 0.6990 +v -0.1375 5.8042 0.6658 +v 0.0000 5.9307 0.7103 +v -0.2048 5.9697 0.6360 +v -0.0466 5.7833 0.6895 +v -0.1924 5.8107 0.6570 +v -0.0918 5.7879 0.6854 +v -0.1142 5.9453 0.6813 +v 0.0000 5.7815 0.6917 +v -0.2482 5.8235 0.6370 +v -0.0575 5.6310 0.6954 +v -0.2462 5.6667 0.6785 +v -0.1157 5.6458 0.6922 +v -0.1098 6.0787 0.7234 +v 0.0000 5.6374 0.6974 +v -0.3113 5.6740 0.6503 +v -0.4881 6.5739 0.3906 +v -0.4675 6.4780 0.3607 +v -0.4483 6.3518 0.3248 +v -0.4482 6.1629 0.2527 +v -0.4962 6.0001 0.1780 +v -0.5744 5.8344 0.1046 +v -0.4861 6.6045 0.2563 +v -0.4668 6.5086 0.2340 +v -0.4445 6.3874 0.2129 +v -0.4614 6.2110 0.1545 +v -0.4985 6.0347 0.0924 +v -0.5903 5.8862 0.0187 +v -0.4612 6.6199 0.1174 +v -0.4501 6.5290 0.1027 +v -0.4497 6.4130 0.0840 +v -0.4590 6.2487 0.0492 +v -0.4897 6.0744 -0.0012 +v -0.5660 5.9191 -0.0638 +v -0.4265 6.6300 -0.0071 +v -0.4218 6.5468 -0.0134 +v -0.4175 6.4332 -0.0252 +v -0.4217 6.2819 -0.0458 +v -0.4460 6.1030 -0.0847 +v -0.5111 5.9424 -0.1489 +v -0.3563 6.6424 -0.0856 +v -0.3475 6.5616 -0.0850 +v -0.3433 6.4480 -0.0888 +v -0.3438 6.2916 -0.1052 +v -0.3453 6.1060 -0.1438 +v -0.4087 5.9524 -0.2070 +v -0.2494 6.6588 -0.1257 +v -0.2393 6.5778 -0.1141 +v -0.2339 6.4691 -0.1099 +v -0.2362 6.3079 -0.1234 +v -0.2494 6.1072 -0.1680 +v -0.3024 5.9559 -0.2392 +v 0.0000 6.6897 -0.1335 +v 0.0000 6.6028 -0.1097 +v 0.0000 6.4862 -0.0875 +v 0.0000 6.3199 -0.0989 +v 0.0000 6.1063 -0.1395 +v 0.0000 5.9416 -0.2341 +v -0.7020 7.0583 0.7287 +v -0.7402 7.5018 0.4165 +v -0.5408 8.1168 0.0604 +v -0.4443 8.2145 0.0034 +v -0.7313 7.7319 0.2937 +v -0.6888 7.8574 0.2221 +v -0.7329 7.4072 0.4543 +v -0.6705 6.8377 0.6827 +v -0.7011 7.1751 0.7930 +v -0.6982 7.0655 0.7778 +v -0.6663 6.8461 0.7629 +v -0.6964 7.2945 0.8158 +v -0.6848 7.4204 0.8579 +v -0.7342 7.4420 0.5247 +v -0.7278 7.3739 0.3993 +v -0.7068 7.3033 0.3482 +v -0.6488 7.0933 0.3400 +v -0.6660 7.1544 0.3320 +v -0.6385 8.1058 0.3765 +v -0.4362 8.3577 0.3138 +v 0.0000 8.4777 0.3158 +v -0.5444 8.2459 0.3430 +v 0.0000 8.4913 0.6961 +v 0.0000 8.4104 0.9715 +v -0.3856 8.3294 0.9240 +v -0.5636 6.7716 0.5163 +v -0.5103 6.6522 0.4254 +v -0.5104 6.6980 0.2849 +v -0.4767 6.6956 0.1223 +v -0.4283 6.6982 -0.0024 +v -0.3500 6.7098 -0.0919 +v -0.2538 6.7217 -0.1330 +v -0.3553 6.3161 1.1560 +v -0.4581 6.4145 1.0499 +v -0.5005 6.4694 0.9891 +v -0.5378 6.5262 0.9089 +v -0.5796 6.6127 0.8261 +v -0.3415 7.5805 1.4212 +v -0.2912 6.4928 1.3829 +v -0.2483 6.4630 1.4034 +v -0.0374 7.0011 1.6434 +v -0.2948 6.7418 1.4282 +v -0.5352 7.0969 1.2808 +v -0.5630 7.0636 1.2505 +v -0.4860 7.1506 1.3137 +v -0.5093 7.1826 1.2903 +v -0.4706 7.0947 1.3384 +v -0.5080 7.1263 1.3006 +v -0.1678 7.0830 1.4551 +v -0.4110 7.0777 1.3870 +v -0.1176 7.1850 1.4415 +v -0.6320 6.8146 0.9334 +v -0.6072 6.7005 0.6967 +v -0.6364 6.7219 0.7674 +v -0.2158 6.2152 1.2170 +v -0.2231 6.2312 1.3031 +v -0.4562 6.4483 1.1001 +v -0.2907 6.2829 1.2487 +v -0.3521 6.3342 1.1948 +v -0.1472 6.1926 1.3453 +v -0.0649 6.1747 1.3653 +v -0.2920 6.2577 1.1631 +v -0.2224 6.2224 1.2696 +v -0.2946 6.2688 1.2118 +v -0.2619 6.2578 1.0239 +v -0.2275 6.2524 0.9168 +v -0.1720 6.2211 0.9528 +v -0.1967 6.2261 1.0632 +v -0.3749 6.3561 0.8903 +v -0.2637 6.1397 0.6201 +v -0.2936 5.9969 0.5964 +v -0.3469 5.8516 0.5834 +v -0.4031 5.7128 0.5228 +v -0.6525 6.8231 0.5952 +v -0.5637 6.8145 0.4445 +v 0.0000 6.7598 -0.1515 +v -0.6041 7.0198 0.3002 +v -0.5529 7.0052 0.1373 +v -0.5109 6.9987 0.0314 +v -0.4538 7.0034 -0.0730 +v -0.3779 7.0057 -0.1570 +v -0.2851 6.9941 -0.2139 +v 0.0000 6.9890 -0.2571 +v -0.6253 7.0908 0.2769 +v -0.5724 7.1039 0.1115 +v -0.5306 7.1107 0.0056 +v -0.4702 7.1210 -0.1010 +v -0.3952 7.1288 -0.1905 +v -0.3079 7.1256 -0.2593 +v 0.0000 7.1164 -0.3296 +v -0.6503 7.1656 0.2646 +v -0.6032 7.2125 0.0747 +v -0.5546 7.2321 -0.0295 +v -0.4910 7.2498 -0.1348 +v -0.4148 7.2647 -0.2306 +v -0.3265 7.2684 -0.3031 +v 0.0000 7.2663 -0.3791 +v -0.7026 7.3519 0.2862 +v -0.6513 7.4431 0.0729 +v -0.5991 7.4904 -0.0452 +v -0.5283 7.5315 -0.1531 +v -0.4468 7.5647 -0.2584 +v -0.3544 7.5913 -0.3295 +v 0.0000 7.6357 -0.3910 +v -0.7290 7.4505 0.3421 +v -0.7087 7.6416 0.1815 +v -0.6615 7.7449 0.0846 +v -0.5987 7.8470 -0.0197 +v -0.5124 7.9446 -0.1382 +v -0.4048 8.0110 -0.2012 +v 0.0000 8.0801 -0.2604 +v -0.4128 8.3912 0.6644 +v -0.5333 8.2829 0.6464 +v -0.5129 8.2441 0.8799 +v -0.6467 7.8305 1.0103 +v -0.6326 8.1420 0.6218 +v -0.7073 7.9778 0.5941 +v -0.5609 7.9428 1.1079 +v -0.7067 7.9505 0.4073 +v -0.7443 7.7993 0.4428 +v -0.7429 7.5394 0.5052 +v -0.4425 8.0225 1.1950 +v -0.3127 8.0778 1.2650 +v -0.1595 7.9979 1.3813 +v 0.0000 8.0143 1.3948 +v -0.0616 8.0101 1.3911 +v -0.6920 7.9616 0.7468 +v -0.6182 8.1187 0.8167 +v -0.7407 7.8148 0.5784 +v -0.7306 7.8074 0.6939 +v -0.0550 6.1660 1.2186 +v -0.1310 6.1866 1.1871 +v 0.0000 6.1555 1.2306 +v -0.5362 6.7157 0.4753 +v -0.2054 6.2166 1.1502 +v -0.2808 6.2539 1.1008 +v -0.3390 6.2914 1.0529 +v -0.5406 6.6689 0.5704 +v -0.5394 6.6144 0.6584 +v -0.5099 6.5342 0.7426 +v -0.4398 6.4127 0.8904 +v -0.4087 6.3710 0.9502 +v -0.4738 6.4640 0.8222 +v -0.5402 6.7637 0.3836 +v -0.5853 7.0074 0.2297 +v -0.6092 7.0964 0.1970 +v -0.6409 7.1844 0.1729 +v -0.6920 7.4000 0.1884 +v -0.7314 7.5409 0.2698 +v -0.7521 7.6550 0.4809 +v -0.5975 8.0607 0.9572 +v -0.6769 7.9237 0.8640 +v -0.7222 7.7849 0.7886 +v -0.4851 8.1678 1.0415 +v 0.0000 8.2895 1.1671 +v -0.0651 8.1239 1.3146 +v 0.0000 8.1256 1.3205 +v -0.3535 8.2339 1.1020 +v -0.0900 5.9493 -0.2313 +v -0.0540 6.6850 -0.1354 +v -0.0490 6.6005 -0.1164 +v -0.0941 8.2749 1.1621 +v -0.1497 8.0686 -0.2535 +v -0.1260 7.6282 -0.3872 +v -0.0559 6.7532 -0.1475 +v -0.1519 8.4771 0.6926 +v -0.1747 8.4575 0.3073 +v -0.1159 7.2609 -0.3713 +v -0.1020 7.1154 -0.3205 +v -0.0762 6.9910 -0.2536 +v -0.1196 8.3974 0.9698 +v -0.0475 6.3253 -0.1061 +v -0.0461 6.4865 -0.0951 +v -0.0683 6.1120 -0.1649 +v -0.3554 6.3525 0.7607 +v -0.3297 6.3282 0.8026 +v -0.3058 6.2710 0.6628 +v -0.2751 6.2464 0.6972 +v -0.1765 6.1908 0.7831 +v -0.1323 6.1799 0.8137 +v -0.1479 6.6761 -0.1324 +v -0.1587 6.1154 -0.1927 +v -0.2386 8.3787 0.9608 +v -0.1519 6.7401 -0.1436 +v -0.1794 6.9939 -0.2456 +v -0.1372 6.4770 -0.1098 +v -0.1910 5.9516 -0.2330 +v -0.2429 7.6127 -0.3705 +v -0.2265 7.2627 -0.3541 +v -0.2090 7.1192 -0.3050 +v -0.2790 8.0499 -0.2402 +v -0.3019 8.4243 0.3057 +v -0.1387 6.3132 -0.1207 +v -0.2708 8.4542 0.6879 +v -0.1409 6.5933 -0.1180 +v -0.2057 8.2615 1.1470 +v -0.3487 7.3318 1.3890 +v -0.3114 7.3316 1.3973 +v -0.3806 7.3248 1.3760 +v -0.4067 7.3159 1.3602 +v -0.4238 7.3088 1.3476 +v -0.4297 7.3006 1.3437 +v -0.4340 7.2931 1.3409 +v -0.4350 7.2875 1.3389 +v -0.4342 7.2830 1.3386 +v -0.4316 7.2750 1.3412 +v -0.4202 7.2676 1.3512 +v -0.4009 7.2578 1.3647 +v -0.3807 7.2493 1.3752 +v -0.3497 7.2428 1.3877 +v -0.3109 7.2415 1.3928 +v -0.2760 7.2442 1.3879 +v -0.2438 7.2496 1.3800 +v -0.2178 7.2571 1.3676 +v -0.2720 7.3243 1.3960 +v -0.2353 7.3097 1.3848 +v -0.2194 7.2952 1.3751 +v -0.2087 7.2812 1.3697 +v -0.2030 7.2751 1.3690 +v -0.2030 7.2683 1.3675 +v -0.2108 7.2625 1.3660 +v -0.2139 7.2883 1.3724 +v -0.3508 7.3255 1.3617 +v -0.3141 7.3250 1.3680 +v -0.3846 7.3209 1.3522 +v -0.4066 7.3170 1.3399 +v -0.4217 7.3084 1.3277 +v -0.4280 7.3019 1.3218 +v -0.4322 7.2943 1.3154 +v -0.4335 7.2877 1.3109 +v -0.4338 7.2816 1.3081 +v -0.4347 7.2768 1.3077 +v -0.4254 7.2662 1.3187 +v -0.4017 7.2566 1.3362 +v -0.3807 7.2519 1.3462 +v -0.3528 7.2468 1.3554 +v -0.3103 7.2467 1.3611 +v -0.2774 7.2487 1.3573 +v -0.2404 7.2546 1.3471 +v -0.2222 7.2575 1.3421 +v -0.2706 7.3184 1.3657 +v -0.2354 7.3088 1.3574 +v -0.2178 7.2988 1.3480 +v -0.2096 7.2827 1.3462 +v -0.2048 7.2754 1.3457 +v -0.2036 7.2715 1.3456 +v -0.2081 7.2650 1.3445 +v -0.2146 7.2904 1.3461 +v -0.3512 7.3748 1.3641 +v -0.3087 7.3751 1.3710 +v -0.3865 7.3654 1.3528 +v -0.4121 7.3522 1.3403 +v -0.4298 7.3367 1.3290 +v -0.4407 7.3218 1.3209 +v -0.4476 7.3071 1.3146 +v -0.4513 7.2931 1.3105 +v -0.4524 7.2794 1.3089 +v -0.4510 7.2665 1.3100 +v -0.4383 7.2406 1.3229 +v -0.4200 7.2220 1.3370 +v -0.3939 7.2050 1.3506 +v -0.3555 7.1918 1.3629 +v -0.3018 7.1882 1.3688 +v -0.2597 7.1949 1.3643 +v -0.2294 7.2057 1.3554 +v -0.1983 7.2262 1.3405 +v -0.2632 7.3640 1.3704 +v -0.2253 7.3443 1.3620 +v -0.2005 7.3228 1.3508 +v -0.1794 7.2874 1.3326 +v -0.1765 7.2731 1.3271 +v -0.1776 7.2597 1.3273 +v -0.1838 7.2438 1.3313 +v -0.1867 7.3036 1.3411 +v -0.3512 7.4102 1.3266 +v -0.3044 7.4128 1.3329 +v -0.3895 7.3968 1.3171 +v -0.4180 7.3780 1.3066 +v -0.4377 7.3573 1.2966 +v -0.4504 7.3370 1.2885 +v -0.4582 7.3174 1.2822 +v -0.4623 7.2984 1.2780 +v -0.4634 7.2793 1.2764 +v -0.4617 7.2611 1.2775 +v -0.4495 7.2261 1.2875 +v -0.4325 7.2013 1.2981 +v -0.4042 7.1763 1.3100 +v -0.3603 7.1560 1.3217 +v -0.3007 7.1498 1.3276 +v -0.2524 7.1600 1.3247 +v -0.2209 7.1755 1.3185 +v -0.1864 7.2069 1.3081 +v -0.2545 7.4005 1.3335 +v -0.2124 7.3750 1.3279 +v -0.1849 7.3449 1.3192 +v -0.1640 7.2937 1.3074 +v -0.1625 7.2735 1.3056 +v -0.1645 7.2540 1.3036 +v -0.1717 7.2316 1.3033 +v -0.1703 7.3172 1.3112 +v -0.3484 7.4299 1.2864 +v -0.3004 7.4336 1.2908 +v -0.3879 7.4151 1.2797 +v -0.4177 7.3942 1.2718 +v -0.4388 7.3710 1.2639 +v -0.4527 7.3476 1.2570 +v -0.4614 7.3248 1.2513 +v -0.4660 7.3021 1.2474 +v -0.4672 7.2793 1.2456 +v -0.4652 7.2575 1.2459 +v -0.4528 7.2176 1.2520 +v -0.4360 7.1900 1.2590 +v -0.4069 7.1613 1.2678 +v -0.3611 7.1375 1.2768 +v -0.2991 7.1301 1.2827 +v -0.2495 7.1417 1.2827 +v -0.2176 7.1590 1.2801 +v -0.1809 7.1953 1.2753 +v -0.2496 7.4215 1.2916 +v -0.2060 7.3944 1.2887 +v -0.1768 7.3603 1.2838 +v -0.1547 7.2993 1.2757 +v -0.1536 7.2749 1.2735 +v -0.1564 7.2515 1.2725 +v -0.1647 7.2245 1.2732 +v -0.1612 7.3275 1.2792 +v -0.3444 7.4370 1.2547 +v -0.2975 7.4404 1.2575 +v -0.3837 7.4225 1.2500 +v -0.4139 7.4016 1.2443 +v -0.4357 7.3779 1.2382 +v -0.4505 7.3534 1.2326 +v -0.4598 7.3290 1.2278 +v -0.4648 7.3044 1.2243 +v -0.4660 7.2795 1.2223 +v -0.4637 7.2561 1.2219 +v -0.4508 7.2147 1.2251 +v -0.4340 7.1866 1.2293 +v -0.4050 7.1572 1.2352 +v -0.3592 7.1327 1.2419 +v -0.2976 7.1250 1.2478 +v -0.2489 7.1364 1.2502 +v -0.2176 7.1535 1.2503 +v -0.1801 7.1906 1.2494 +v -0.2482 7.4286 1.2583 +v -0.2055 7.4024 1.2571 +v -0.1758 7.3684 1.2551 +v -0.1518 7.3037 1.2515 +v -0.1505 7.2769 1.2503 +v -0.1536 7.2511 1.2495 +v -0.1627 7.2217 1.2492 +v -0.1591 7.3342 1.2531 +v -0.3403 7.4379 1.2300 +v -0.1505 7.2794 1.2317 +v -0.3788 7.4244 1.2269 +v -0.1779 7.3721 1.2326 +v -0.4312 7.3809 1.2183 +v -0.4465 7.3563 1.2140 +v -0.4616 7.3061 1.2068 +v -0.4628 7.2804 1.2047 +v -0.2484 7.1373 1.2256 +v -0.4472 7.2153 1.2048 +v -0.4305 7.1877 1.2068 +v -0.4017 7.1585 1.2103 +v -0.3563 7.1342 1.2152 +v -0.2959 7.1263 1.2212 +v -0.4603 7.2565 1.2039 +v -0.2180 7.1537 1.2277 +v -0.1807 7.1903 1.2291 +v -0.4563 7.3314 1.2101 +v -0.2073 7.4045 1.2328 +v -0.2481 7.4292 1.2327 +v -0.4090 7.4043 1.2228 +v -0.1524 7.3074 1.2321 +v -0.2951 7.4406 1.2319 +v -0.1536 7.2523 1.2311 +v -0.1629 7.2219 1.2300 +v -0.1605 7.3385 1.2324 +v -0.3362 7.4354 1.2077 +v -0.1527 7.2822 1.2140 +v -0.3733 7.4232 1.2057 +v -0.1819 7.3733 1.2120 +v -0.4254 7.3817 1.1998 +v -0.4411 7.3577 1.1967 +v -0.4566 7.3079 1.1905 +v -0.4579 7.2821 1.1881 +v -0.2480 7.1419 1.2028 +v -0.4422 7.2184 1.1860 +v -0.4256 7.1916 1.1860 +v -0.3971 7.1631 1.1875 +v -0.3526 7.1395 1.1909 +v -0.2940 7.1317 1.1969 +v -0.4554 7.2583 1.1870 +v -0.2186 7.1574 1.2067 +v -0.1823 7.1928 1.2100 +v -0.4511 7.3332 1.1935 +v -0.2102 7.4033 1.2110 +v -0.2488 7.4262 1.2097 +v -0.4030 7.4044 1.2029 +v -0.1552 7.3105 1.2136 +v -0.2931 7.4373 1.2087 +v -0.1553 7.2548 1.2134 +v -0.1645 7.2244 1.2117 +v -0.1642 7.3413 1.2128 +v -0.3320 7.4290 1.1846 +v -0.1578 7.2851 1.1935 +v -0.3666 7.4185 1.1834 +v -0.1883 7.3720 1.1898 +v -0.4173 7.3801 1.1792 +v -0.4330 7.3573 1.1774 +v -0.4483 7.3098 1.1717 +v -0.4495 7.2845 1.1691 +v -0.2488 7.1508 1.1782 +v -0.4343 7.2238 1.1654 +v -0.4178 7.1986 1.1637 +v -0.3899 7.1715 1.1637 +v -0.3477 7.1495 1.1659 +v -0.2927 7.1419 1.1714 +v -0.4472 7.2614 1.1679 +v -0.2207 7.1648 1.1835 +v -0.1859 7.1983 1.1882 +v -0.4430 7.3341 1.1749 +v -0.2148 7.3988 1.1880 +v -0.2506 7.4194 1.1859 +v -0.3950 7.4014 1.1813 +v -0.1611 7.3126 1.1924 +v -0.2919 7.4299 1.1848 +v -0.1599 7.2586 1.1929 +v -0.1688 7.2291 1.1905 +v -0.1708 7.3423 1.1910 +v -0.3278 7.4157 1.1573 +v -0.1699 7.2880 1.1655 +v -0.3580 7.4072 1.1566 +v -0.2004 7.3665 1.1618 +v -0.4042 7.3734 1.1534 +v -0.4192 7.3533 1.1525 +v -0.4329 7.3104 1.1473 +v -0.4339 7.2870 1.1448 +v -0.2537 7.1668 1.1491 +v -0.4199 7.2324 1.1408 +v -0.4041 7.2103 1.1382 +v -0.3784 7.1864 1.1373 +v -0.3412 7.1672 1.1387 +v -0.2931 7.1602 1.1428 +v -0.4320 7.2658 1.1438 +v -0.2277 7.1783 1.1548 +v -0.1958 7.2083 1.1595 +v -0.4284 7.3326 1.1505 +v -0.2241 7.3892 1.1601 +v -0.2558 7.4065 1.1577 +v -0.3834 7.3924 1.1548 +v -0.1740 7.3133 1.1641 +v -0.2925 7.4158 1.1569 +v -0.1715 7.2638 1.1649 +v -0.1799 7.2367 1.1620 +v -0.1840 7.3404 1.1626 +v -0.3378 7.2421 1.0915 +v -0.3306 7.2311 1.0938 +v -0.3237 7.2209 1.0968 +v -0.3037 7.2178 1.0975 +v -0.3452 7.2735 1.0880 +v -0.2869 7.2318 1.0935 +v -0.2758 7.2491 1.0906 +v -0.3431 7.3156 1.0906 +v -0.2835 7.3492 1.1001 +v -0.2934 7.3575 1.1028 +v -0.3289 7.3500 1.0997 +v -0.2654 7.3101 1.0918 +v -0.3025 7.3647 1.1062 +v -0.2638 7.2802 1.0899 +v -0.2684 7.2645 1.0897 +v -0.2699 7.3250 1.0941 +v -0.3455 7.2619 1.0892 +v -0.2816 7.2391 1.0920 +v -0.2344 7.2114 1.1216 +v -0.3983 7.2578 1.1136 +v -0.2137 7.3333 1.1254 +v -0.2091 7.2488 1.1234 +v -0.2016 7.2709 1.1257 +v -0.2965 7.3902 1.1257 +v -0.2047 7.3115 1.1257 +v -0.3634 7.3726 1.1231 +v -0.2694 7.3828 1.1252 +v -0.2454 7.3704 1.1258 +v -0.3989 7.3257 1.1187 +v -0.2221 7.2258 1.1221 +v -0.2475 7.2023 1.1200 +v -0.4014 7.2713 1.1138 +v -0.2971 7.1900 1.1141 +v -0.3329 7.1955 1.1119 +v -0.3595 7.2101 1.1106 +v -0.3790 7.2281 1.1108 +v -0.3918 7.2447 1.1125 +v -0.2679 7.1944 1.1170 +v -0.4026 7.2886 1.1143 +v -0.4020 7.3077 1.1162 +v -2.2172 5.2975 0.2559 +v -2.0698 5.2479 0.5570 +v -1.8990 5.2051 0.6451 +v -1.5915 5.1080 0.7934 +v -1.4686 5.0218 0.8345 +v -1.3826 4.9169 0.8732 +v -1.3219 4.8229 0.9211 +v -1.2747 4.7176 0.9850 +v -1.2330 4.5923 1.0586 +v -1.1837 4.4574 1.1453 +v -1.7690 5.3543 0.6999 +v -1.9357 5.4027 0.6075 +v -2.0885 5.4436 0.2634 +v -1.4565 5.2245 0.8566 +v -1.3256 5.1312 0.9088 +v -1.2232 5.0230 0.9587 +v -1.1491 4.9221 1.0159 +v -1.0991 4.8164 1.0883 +v -1.0615 4.6927 1.1550 +v -1.0233 4.5577 1.2219 +v -1.5842 5.4897 0.7269 +v -1.7436 5.5803 0.6205 +v -1.8529 5.6398 0.2680 +v -1.2589 5.3046 0.8893 +v -1.0963 5.2010 0.9542 +v -0.9875 5.0879 1.0141 +v -0.9082 4.9832 1.0748 +v -0.8448 4.8750 1.1423 +v -0.8051 4.7557 1.1984 +v -0.7666 4.6146 1.2622 +v -1.3198 5.5422 0.7237 +v -1.4147 5.6290 0.5973 +v -1.5132 5.7281 0.2635 +v -1.0064 5.3488 0.8939 +v -0.7773 5.2380 0.9696 +v -0.7189 5.0995 1.0410 +v -0.6663 4.9882 1.1028 +v -0.6162 4.8702 1.1542 +v -0.5856 4.7668 1.2001 +v -0.5546 4.6146 1.2645 +v -1.0353 5.5373 0.6586 +v -1.1027 5.5862 0.5304 +v -1.1767 5.6457 0.2522 +v -0.7813 5.4113 0.8420 +v 0.0000 5.0217 1.0242 +v 0.0000 4.9224 1.0629 +v 0.0000 4.7192 1.1425 +v 0.0000 4.5723 1.2031 +v -0.6124 5.3568 0.9182 +v -2.4127 5.0065 0.2413 +v -2.2644 4.9650 0.4923 +v -2.1009 4.9212 0.5540 +v -1.7773 4.8405 0.5673 +v -1.6511 4.7806 0.5225 +v -1.5485 4.7022 0.5106 +v -1.4739 4.6145 0.5249 +v -1.4139 4.5084 0.5613 +v -1.3505 4.3776 0.6172 +v -1.2720 4.2084 0.6892 +v -2.5310 4.8020 0.2457 +v -2.3714 4.7905 0.4964 +v -2.2096 4.7442 0.5574 +v -1.8841 4.6915 0.4761 +v -1.7643 4.6450 0.3247 +v -1.7209 4.5712 0.1721 +v -1.5235 4.5165 0.1942 +v -1.4857 4.4293 0.2095 +v -1.4538 4.3057 0.2336 +v -1.4227 4.1293 0.2658 +v -2.5988 4.6789 0.2344 +v -2.4517 4.6630 0.5009 +v -2.2896 4.6217 0.5677 +v -2.0070 4.5364 0.4691 +v -1.8854 4.5041 0.3204 +v -1.8107 4.4730 0.1606 +v -2.2975 5.1891 0.2490 +v -2.1700 5.1371 0.5338 +v -1.9938 5.0928 0.6025 +v -1.6844 4.9980 0.7181 +v -1.5712 4.9218 0.7413 +v -1.4871 4.8248 0.7661 +v -1.4185 4.7358 0.8037 +v -1.3588 4.6350 0.8591 +v -1.2994 4.5138 0.9343 +v -1.2372 4.3582 1.0374 +v -2.4795 4.9137 0.2457 +v -2.3071 4.8820 0.4863 +v -2.1469 4.8432 0.5486 +v -1.8164 4.7817 0.5030 +v -1.6775 4.7051 0.3767 +v -1.5653 4.6433 0.3581 +v -1.4966 4.5695 0.3649 +v -1.4473 4.4697 0.3910 +v -1.4014 4.3359 0.4345 +v -1.3602 4.1518 0.4899 +v -2.1812 5.2854 0.4275 +v -2.0454 5.4330 0.4469 +v -1.8279 5.6297 0.4514 +v -1.4854 5.7009 0.4304 +v -1.1458 5.6281 0.3861 +v -2.3698 4.9951 0.3797 +v -2.4919 4.8083 0.3771 +v -2.5560 4.6816 0.3791 +v -2.2697 5.1741 0.4077 +v -2.4234 4.9079 0.3752 +v -0.3326 5.5361 0.7395 +v -0.2468 5.5158 0.7787 +v -0.5396 5.5856 0.5004 +v -0.6061 5.6219 0.4273 +v -0.6542 5.6516 0.3435 +v -0.3405 5.5998 -0.4633 +v -0.1611 5.5818 -0.4221 +v 0.0000 5.5708 -0.4117 +v -0.5183 5.6104 -0.4509 +v -0.7001 5.6220 -0.4171 +v -0.8818 5.6505 -0.3534 +v -0.4788 5.1876 0.9899 +v 0.0000 4.3685 1.2956 +v -0.0706 4.3967 1.2853 +v -0.1128 4.6322 1.1930 +v -0.2466 5.2731 0.9528 +v -0.1160 4.7630 1.1401 +v -0.1134 4.9256 1.0677 +v -1.0063 5.6557 -0.2786 +v -1.1125 5.6760 -0.1988 +v -1.1898 5.6969 -0.1029 +v -1.2191 5.6938 0.0097 +v -1.2200 5.6942 0.1311 +v -0.9687 5.6796 0.1573 +v -0.9908 5.7049 0.0565 +v -0.9847 5.7208 -0.0378 +v -0.9389 5.7177 -0.1257 +v -0.8746 5.7291 -0.2100 +v -0.7619 5.7480 -0.2953 +v -0.5931 5.7292 -0.3708 +v -0.4364 5.7266 -0.3964 +v 0.0000 5.6958 -0.3435 +v -0.1355 5.7087 -0.3601 +v -0.2863 5.7218 -0.3921 +v -0.2370 5.8399 -0.3157 +v -0.1110 5.8324 -0.2981 +v 0.0000 5.8234 -0.2654 +v -0.3671 5.8427 -0.3271 +v -0.4940 5.8395 -0.2996 +v -0.6346 5.8452 -0.2243 +v -0.7177 5.8268 -0.1401 +v -0.7589 5.7960 -0.0560 +v -0.1109 5.0309 1.0294 +v -0.7739 5.7679 0.0286 +v -0.7690 5.7526 0.1148 +v -0.7422 5.7199 0.2011 +v -0.2531 5.0470 1.0353 +v -0.2474 4.9388 1.0714 +v -0.2484 5.1530 0.9901 +v -0.4149 5.2997 0.9379 +v -0.1607 5.5059 0.7896 +v -0.4030 5.5425 0.6597 +v -0.6953 5.6802 0.2801 +v -0.5484 5.4443 0.7189 +v -0.2185 5.3934 0.8915 +v -0.4531 5.4333 0.8199 +v -0.3389 5.4135 0.8763 +v -0.7488 5.5173 0.5396 +v -0.8221 5.5537 0.4624 +v -0.8818 5.6041 0.3556 +v -0.9323 5.6513 0.2561 +v -0.0565 5.4729 0.7621 +v 0.0000 5.4775 0.7482 +v -0.1013 5.3707 0.8769 +v 0.0000 5.3771 0.8359 +v -0.1165 5.2563 0.9510 +v 0.0000 5.2480 0.9423 +v -0.1115 5.1356 0.9866 +v 0.0000 5.1283 0.9880 +v -0.2327 4.8001 1.1346 +v -0.2101 4.6719 1.1882 +v -0.1826 4.4623 1.2714 +v -0.3661 4.5748 1.2496 +v -0.4027 4.7315 1.1882 +v -0.4360 4.8493 1.1380 +v -0.4604 4.9573 1.0859 +v -0.4828 5.0633 1.0449 +v -0.3860 5.4722 -0.4981 +v -0.1787 5.4486 -0.4669 +v 0.0000 5.4312 -0.4523 +v -0.5920 5.4919 -0.4830 +v -0.7790 5.5129 -0.4524 +v -0.9587 5.5415 -0.4032 +v -1.1301 5.5738 -0.3450 +v -1.2859 5.6211 -0.2744 +v -1.4178 5.6691 -0.1728 +v -1.5026 5.7251 -0.0418 +v -1.5373 5.7422 0.1086 +v -0.3976 5.3400 -0.5186 +v -0.1739 5.3164 -0.4908 +v 0.0000 5.3002 -0.4817 +v -0.6334 5.3698 -0.5117 +v -0.8225 5.3933 -0.4954 +v -1.0261 5.4289 -0.4565 +v -1.2508 5.4769 -0.4080 +v -1.4700 5.5413 -0.3424 +v -1.6640 5.5891 -0.2357 +v -1.8305 5.6384 -0.0910 +v -1.8793 5.6465 0.0882 +v -1.3763 5.3371 -0.4563 +v -1.2765 5.1646 -0.5047 +v -1.2074 5.0053 -0.5246 +v -1.1094 4.5175 -0.5471 +v -1.0652 4.3834 -0.4859 +v -1.0040 4.2307 -0.3931 +v -1.0679 5.2956 -0.5041 +v -1.0407 5.1416 -0.5437 +v -1.0054 4.9858 -0.5789 +v -0.8885 4.5322 -0.5183 +v -0.8634 4.3925 -0.4810 +v -0.8253 4.2431 -0.4214 +v -0.8298 5.2565 -0.5311 +v -0.8141 5.1099 -0.5590 +v -0.7949 4.9624 -0.6077 +v -0.6920 4.5468 -0.4575 +v -0.6752 4.4088 -0.4445 +v -0.6586 4.2518 -0.4221 +v -0.6079 5.2198 -0.4923 +v -0.5833 5.0748 -0.4695 +v -0.5690 4.9335 -0.4852 +v -0.5283 4.5484 -0.4855 +v -0.5189 4.4109 -0.4689 +v -0.5093 4.2560 -0.4451 +v -0.3955 5.2006 -0.5300 +v -0.3904 5.0515 -0.5217 +v -0.3834 4.9118 -0.5292 +v -0.3630 4.5457 -0.4886 +v -0.3615 4.4116 -0.4727 +v -0.3604 4.2580 -0.4467 +v -0.1915 5.1794 -0.5110 +v -0.1977 5.0340 -0.5200 +v -0.1974 4.8893 -0.5167 +v -0.1956 4.5517 -0.4791 +v -0.2015 4.4259 -0.4626 +v -0.2023 4.2552 -0.4384 +v 0.0000 5.1639 -0.4977 +v 0.0000 5.0203 -0.5017 +v 0.0000 4.8958 -0.4932 +v 0.0000 4.5585 -0.4533 +v 0.0000 4.4326 -0.4382 +v 0.0000 4.2530 -0.4075 +v -1.6517 5.4272 -0.3794 +v -1.8645 5.4557 -0.2671 +v -2.0026 5.4596 -0.1072 +v -2.0930 5.4451 0.0744 +v -1.8285 5.3127 -0.3728 +v -2.0139 5.3247 -0.2654 +v -2.1405 5.3193 -0.1101 +v -2.2260 5.3077 0.0707 +v -1.6225 5.2535 -0.4347 +v -1.4798 5.1383 -0.4667 +v -1.5226 4.9591 -0.4327 +v -1.4297 4.4891 -0.2976 +v -1.3746 4.3408 -0.2607 +v -1.3233 4.1986 -0.2172 +v -1.9453 5.1969 -0.3468 +v -2.1079 5.2094 -0.2471 +v -2.2433 5.2067 -0.1072 +v -2.3047 5.2036 0.0746 +v -1.7718 5.1550 -0.4035 +v -1.6269 5.0723 -0.4290 +v -1.3846 4.9990 -0.4763 +v -1.5072 4.3858 -0.1377 +v -1.4610 4.2828 -0.1194 +v -1.4100 4.1578 -0.0897 +v -2.0849 4.9743 -0.2983 +v -2.2289 5.0065 -0.2159 +v -2.3498 5.0166 -0.0808 +v -2.4186 5.0169 0.0819 +v -1.9438 4.9283 -0.3490 +v -1.8196 4.8598 -0.3706 +v -1.5913 4.5406 -0.2233 +v -1.5972 4.4851 -0.1144 +v -1.5175 4.3895 0.0272 +v -1.4804 4.2827 0.0406 +v -2.1444 4.8641 -0.2903 +v -2.2850 4.8919 -0.2028 +v -2.4009 4.9096 -0.0764 +v -2.4832 4.9195 0.0795 +v -2.0049 4.8236 -0.3405 +v -1.8869 4.7752 -0.3516 +v -1.6628 4.5143 -0.2018 +v -1.6559 4.4797 -0.0995 +v -1.6472 4.5226 0.0345 +v -2.2172 4.7289 -0.2740 +v -2.3477 4.7680 -0.2036 +v -2.4640 4.7949 -0.0837 +v -2.5287 4.8019 0.0791 +v -2.0921 4.6936 -0.3058 +v -1.9823 4.6650 -0.3168 +v -1.7491 4.4567 -0.1841 +v -1.7344 4.4361 -0.0815 +v -1.7195 4.4917 0.0340 +v -1.5733 4.5736 0.1894 +v -2.3085 4.5791 -0.2659 +v -2.4268 4.6222 -0.1961 +v -2.5332 4.6615 -0.0789 +v -2.5914 4.6750 0.0791 +v -2.1981 4.5377 -0.2997 +v -2.1010 4.5088 -0.2902 +v -1.8480 4.3637 -0.1583 +v -1.8222 4.3406 -0.0774 +v -1.8088 4.4177 0.0459 +v -1.6444 4.6032 0.1899 +v -1.5894 4.5102 0.0293 +v -1.5484 4.4650 0.0266 +v -1.5241 4.5352 -0.2525 +v -1.7330 4.9766 -0.3954 +v -1.5535 4.4525 -0.1285 +v -2.2995 5.1128 -0.0915 +v -2.3646 5.1093 0.0798 +v -2.1763 5.1094 -0.2341 +v -2.0219 5.0860 -0.3197 +v -1.8681 5.0450 -0.3725 +v -2.0541 5.0016 0.5718 +v -2.2211 5.0421 0.5104 +v -2.3535 5.0911 0.2441 +v -1.4534 4.6688 0.6712 +v -1.5277 4.7590 0.6450 +v -1.6193 4.8439 0.6373 +v -1.7362 4.9045 0.6400 +v -2.3195 5.0750 0.3912 +v -1.2541 4.2976 0.8895 +v -1.3210 4.4491 0.7876 +v -1.3884 4.5668 0.7181 +v -1.7219 4.7859 -0.3647 +v -1.7898 4.7234 -0.3372 +v -1.8911 4.6298 -0.2964 +v -2.0166 4.4814 -0.2831 +v -1.6251 4.8963 -0.3983 +v -1.4402 4.1375 0.0608 +v -1.1808 4.2193 -0.3204 +v -1.2313 4.3710 -0.3779 +v -1.2743 4.5153 -0.4221 +v -2.6938 4.5419 0.2334 +v -2.5525 4.5050 0.5128 +v -2.4257 4.4518 0.5692 +v -2.1552 4.3393 0.4783 +v -2.0380 4.3124 0.3484 +v -1.9799 4.2816 0.1825 +v -2.6528 4.5329 0.3895 +v -2.4240 4.4194 -0.2524 +v -2.5314 4.4748 -0.1864 +v -2.6344 4.5162 -0.0674 +v -2.6857 4.5356 0.0864 +v -2.3225 4.3691 -0.2932 +v -2.2336 4.3326 -0.2861 +v -1.9805 4.2287 -0.1447 +v -1.9625 4.2193 -0.0583 +v -1.9497 4.2525 0.0498 +v -2.1516 4.2989 -0.2804 +v -2.7976 4.3978 0.2588 +v -2.6692 4.3438 0.5238 +v -2.5520 4.2606 0.5713 +v -2.3068 4.1609 0.4845 +v -2.2313 4.1119 0.3550 +v -2.1586 4.0720 0.1840 +v -2.7627 4.3855 0.4209 +v -2.5586 4.2543 -0.2484 +v -2.6624 4.3134 -0.1726 +v -2.7537 4.3634 -0.0522 +v -2.7970 4.3884 0.1030 +v -2.4646 4.2026 -0.2896 +v -2.3802 4.1608 -0.2826 +v -2.1342 4.0421 -0.1334 +v -2.1194 4.0436 -0.0508 +v -2.1145 4.0411 0.0465 +v -2.2969 4.1189 -0.2741 +v -2.9053 4.2671 0.2902 +v -2.7831 4.1759 0.5425 +v -2.6851 4.0824 0.5857 +v -2.4605 3.9737 0.4817 +v -2.3680 3.9489 0.3558 +v -2.3086 3.9066 0.2036 +v -2.8751 4.2470 0.4415 +v -2.7035 4.1080 -0.2271 +v -2.7891 4.1676 -0.1473 +v -2.8793 4.2161 -0.0235 +v -2.9129 4.2469 0.1399 +v -2.6144 4.0493 -0.2715 +v -2.5365 4.0109 -0.2669 +v -2.3019 3.8933 -0.1119 +v -2.2809 3.8824 -0.0387 +v -2.2737 3.8736 0.0611 +v -2.4553 3.9675 -0.2589 +v -3.0057 4.1445 0.3208 +v -2.8676 4.0442 0.5584 +v -2.7749 3.9660 0.5855 +v -2.5871 3.8162 0.4856 +v -2.5092 3.7759 0.3592 +v -2.4385 3.7492 0.2136 +v -2.9627 4.1214 0.4593 +v -2.8469 3.9781 -0.1875 +v -2.9157 4.0381 -0.1031 +v -2.9934 4.0928 0.0283 +v -3.0151 4.1221 0.1790 +v -2.7683 3.9226 -0.2378 +v -2.6935 3.8775 -0.2440 +v -2.4293 3.7523 -0.1070 +v -2.4070 3.7387 -0.0380 +v -2.3945 3.7273 0.0682 +v -2.6047 3.8381 -0.2357 +v -0.8070 3.8437 1.5752 +v -0.7866 3.8414 1.5795 +v -0.7687 3.8317 1.5840 +v -0.7560 3.8163 1.5895 +v -0.7505 3.7974 1.5930 +v -0.7531 3.7779 1.5956 +v -0.7636 3.7608 1.5958 +v -0.7804 3.7486 1.5931 +v -0.8008 3.7433 1.5887 +v -0.8213 3.7456 1.5839 +v -0.8392 3.7552 1.5787 +v -0.8514 3.7707 1.5748 +v -0.8565 3.7896 1.5721 +v -0.8538 3.8091 1.5706 +v -0.8433 3.8263 1.5708 +v -0.8270 3.8384 1.5723 +v -0.8061 3.8227 1.5818 +v -0.7943 3.8213 1.5846 +v -0.7839 3.8157 1.5876 +v -0.7765 3.8068 1.5905 +v -0.7733 3.7958 1.5928 +v -0.7748 3.7844 1.5941 +v -0.7809 3.7744 1.5944 +v -0.7908 3.7674 1.5937 +v -0.8026 3.7643 1.5911 +v -0.8146 3.7656 1.5883 +v -0.8250 3.7712 1.5849 +v -0.8320 3.7802 1.5823 +v -0.8349 3.7912 1.5803 +v -0.8332 3.8026 1.5793 +v -0.8271 3.8125 1.5792 +v -0.8177 3.8196 1.5803 +v -0.8094 3.9034 1.5558 +v -0.7678 3.8986 1.5644 +v -0.7312 3.8790 1.5742 +v -0.7054 3.8476 1.5843 +v -0.6943 3.8091 1.5927 +v -0.6996 3.7693 1.5976 +v -0.7207 3.7344 1.5974 +v -0.7548 3.7097 1.5901 +v -0.7961 3.6988 1.5802 +v -0.8375 3.7036 1.5681 +v -0.8743 3.7232 1.5573 +v -0.8999 3.7546 1.5533 +v -0.9102 3.7932 1.5494 +v -0.9047 3.8329 1.5474 +v -0.8834 3.8678 1.5477 +v -0.8501 3.8926 1.5505 +v -0.7940 4.0375 1.5046 +v -0.7068 4.0290 1.5204 +v -0.6303 3.9920 1.5386 +v -0.5765 3.9322 1.5535 +v -0.5543 3.8587 1.5741 +v -0.5665 3.7826 1.5883 +v -0.6116 3.7156 1.5933 +v -0.6838 3.6679 1.5862 +v -0.7689 3.6466 1.5583 +v -0.8558 3.6552 1.5367 +v -0.9266 3.6950 1.5083 +v -0.9837 3.7520 1.4911 +v -1.0040 3.8256 1.4839 +v -0.9919 3.9017 1.4766 +v -0.9483 3.9686 1.4874 +v -0.8785 4.0163 1.4926 +v -0.7709 4.2531 1.4050 +v -0.6264 4.2500 1.4163 +v -0.4880 4.1830 1.4381 +v -0.3900 4.0705 1.4710 +v -0.3627 3.9420 1.5098 +v -0.3826 3.8197 1.5371 +v -0.4471 3.7122 1.5576 +v -0.5588 3.6201 1.5524 +v -0.7253 3.5847 1.5201 +v -0.8685 3.5972 1.4613 +v -0.9984 3.6495 1.3857 +v -1.0860 3.7520 1.3436 +v -1.1016 3.8896 1.3314 +v -1.0865 4.0115 1.3543 +v -1.0195 4.1189 1.3918 +v -0.9090 4.2166 1.4042 +v -0.7553 4.3683 1.3505 +v -0.5829 4.3540 1.3652 +v -0.4250 4.2847 1.3812 +v -0.2845 4.1454 1.4131 +v -0.2371 3.9891 1.4534 +v -0.2661 3.8271 1.4963 +v -0.3671 3.6843 1.5355 +v -0.4972 3.5885 1.5389 +v -0.7051 3.5378 1.4892 +v -0.8853 3.5564 1.4131 +v -1.0231 3.6217 1.3170 +v -1.1370 3.7494 1.2261 +v -1.1453 3.9257 1.2267 +v -1.1559 4.1220 1.2462 +v -1.0689 4.2357 1.3128 +v -0.9386 4.3230 1.3470 +v -0.7429 4.5114 1.3011 +v -0.5626 4.4938 1.3123 +v -0.3838 4.4071 1.3224 +v -0.1703 4.2239 1.3608 +v -0.1233 4.0220 1.4235 +v -0.1476 3.8174 1.4848 +v -0.2724 3.6315 1.5367 +v -0.4507 3.5262 1.5437 +v -0.6946 3.4638 1.4852 +v -0.9274 3.4748 1.3416 +v -1.0618 3.5846 1.2004 +v -1.1215 3.7589 1.0853 +v -1.1658 3.9736 1.1083 +v -1.1947 4.2089 1.1406 +v -1.1355 4.3458 1.2382 +v -0.9902 4.4403 1.2882 +v -0.8935 4.1059 1.4513 +v -0.9839 4.0437 1.4404 +v -0.8634 3.6235 1.5069 +v -0.7510 3.6144 1.5416 +v -0.7822 4.1335 1.4622 +v -0.9608 3.6709 1.4533 +v -0.6677 4.1224 1.4785 +v -1.0256 3.7500 1.4332 +v -0.4851 3.8016 1.5709 +v -0.4689 3.9006 1.5475 +v -0.5676 4.0743 1.4993 +v -1.0528 3.8576 1.4125 +v -0.5450 3.7143 1.5826 +v -0.4980 3.9964 1.5211 +v -1.0392 3.9566 1.4127 +v -0.6255 3.6471 1.5768 +v 0.0000 4.2119 1.3564 +v 0.0000 3.9785 1.4336 +v 0.0000 3.7996 1.4940 +v 0.0000 3.6160 1.5502 +v -0.0662 4.2142 1.3590 +v -0.0609 4.0123 1.4244 +v -0.0885 3.8030 1.4908 +v -0.1421 3.6210 1.5438 +v -4.4866 1.8664 2.9792 +v -4.5790 1.7736 2.8901 +v -4.6047 1.8276 2.9362 +v -4.5550 1.8778 2.9757 +v -4.5551 1.9733 2.8727 +v -4.6165 1.9215 2.8228 +v -4.5956 1.8550 2.7847 +v -4.4914 1.9562 2.8828 +v -4.4692 2.0157 2.7915 +v -4.5762 1.9178 2.6807 +v -4.5935 1.9748 2.7207 +v -4.5400 2.0540 2.7338 +v -4.5888 2.0018 2.6731 +v -4.5626 1.9102 2.6325 +v -4.4587 2.0499 2.7433 +v -4.5425 2.0230 2.7828 +v -4.4677 1.9447 2.8794 +v -4.4646 1.8516 2.9726 +v -4.5352 1.8945 2.6121 +v -4.5471 1.9010 2.6738 +v -4.5572 1.8311 2.7748 +v -4.5521 1.7581 2.8771 +v -4.4249 2.0264 2.7309 +v -4.4414 1.9985 2.7835 +v -4.5074 1.6923 3.1740 +v -4.5497 1.7374 3.1249 +v -4.5043 1.6539 3.1995 +v -4.5962 1.6295 3.1179 +v -4.5930 1.5986 3.1435 +v -4.5384 1.5908 3.1998 +v -4.5938 1.7028 3.0944 +v -4.5766 1.7278 3.1094 +v -4.5514 1.5996 3.2023 +v -4.5712 1.7175 3.1134 +v -4.5186 1.6502 3.2063 +v -4.5932 1.6002 3.1572 +v -4.5864 1.6907 3.1010 +v -4.5921 1.6293 3.1321 +v -4.5182 1.6845 3.1803 +v -4.5907 1.8630 2.9610 +v -4.6014 1.9569 2.8486 +v -4.5745 2.0353 2.7086 +v -4.5816 2.0080 2.7568 +v -4.5437 1.7234 3.1312 +v -4.4583 1.7771 2.8974 +v -4.4663 1.8487 2.8186 +v -4.4370 1.9396 2.6364 +v -4.4397 1.9078 2.7054 +v -4.5516 1.7530 3.1133 +v -4.4927 1.7156 3.1436 +v -4.5886 1.6336 3.0824 +v -4.5974 1.7113 3.0848 +v -4.5749 1.6034 3.1006 +v -4.4838 1.6914 3.1560 +v -4.5814 1.7410 3.0979 +v -4.4963 1.5881 3.1677 +v -4.4706 1.6551 3.0631 +v -4.5863 1.7693 3.0723 +v -4.4676 1.7428 3.0882 +v -4.5531 1.6522 3.0185 +v -4.6004 1.7403 3.0524 +v -4.5773 1.6717 3.0195 +v -4.4785 1.7595 3.0881 +v -4.5484 1.7821 3.0880 +v -4.5848 1.9029 2.7176 +v -4.5961 1.9579 2.7600 +v -4.5433 2.0077 2.8086 +v -4.5521 1.8813 2.7141 +v -4.4545 1.9812 2.8169 +v -4.4781 1.9964 2.8216 +v -4.5873 1.9925 2.7876 +v -4.4486 1.8849 2.7521 +v -4.6010 1.9381 2.8708 +v -4.5563 1.8211 2.7918 +v -4.6241 1.8994 2.8404 +v -4.5952 1.8428 2.7999 +v -4.4625 1.8253 2.8404 +v -4.5999 1.9169 2.8951 +v -4.4666 1.9136 2.9119 +v -4.5536 1.8090 2.8064 +v -4.5496 1.8063 3.0628 +v -4.4812 1.7941 3.0511 +v -4.5771 1.7099 2.9776 +v -4.6042 1.7656 3.0263 +v -4.5490 1.6978 2.9680 +v -4.4686 1.7837 3.0439 +v -4.5874 1.7926 3.0483 +v -4.4718 1.7158 2.9937 +v -4.4614 1.8119 2.8523 +v -4.4646 1.8938 2.9296 +v -4.5580 1.9117 2.9449 +v -4.4840 1.9027 2.9408 +v -4.6216 1.8792 2.8635 +v -4.5583 1.9357 2.9213 +v -4.5928 1.8279 2.8169 +v -4.4890 1.9253 2.9198 +v -4.5897 1.8115 2.8391 +v -4.6141 1.8587 2.8891 +v -4.5980 1.8946 2.9256 +v -4.5516 1.7922 2.8271 +v -4.4661 1.9566 2.8632 +v -4.4885 1.9683 2.8648 +v -4.5964 1.9702 2.8264 +v -4.4603 1.8552 2.7991 +v -4.4639 1.8388 2.8304 +v -4.4664 1.9273 2.8966 +v -4.4921 1.9407 2.9035 +v -4.5557 1.9592 2.8993 +v -4.5935 1.8744 2.7595 +v -4.6054 1.9362 2.7977 +v -4.5510 1.9846 2.8523 +v -4.5585 1.8475 2.7510 +v -4.5496 1.8320 3.0277 +v -4.5807 1.7323 2.9503 +v -4.5496 1.7147 2.9435 +v -4.5861 1.8189 3.0136 +v -4.4717 1.7343 2.9672 +v -4.4855 1.8185 3.0280 +v -4.6025 1.7902 2.9902 +v -4.4697 1.8057 3.0222 +v -4.5496 1.8175 3.0476 +v -4.5796 1.7200 2.9642 +v -4.5504 1.7065 2.9553 +v -4.5871 1.8026 3.0340 +v -4.4743 1.7267 2.9812 +v -4.4840 1.8056 3.0407 +v -4.6030 1.7773 3.0116 +v -4.4696 1.7942 3.0338 +v -4.4761 1.6096 3.1230 +v -4.4715 1.7199 3.1134 +v -4.5992 1.7229 3.0682 +v -4.5607 1.6263 3.0564 +v -4.5834 1.6518 3.0488 +v -4.5846 1.7541 3.0844 +v -4.5500 1.7676 3.1006 +v -4.4806 1.7369 3.1118 +v -4.4420 1.8022 2.9244 +v -4.4463 1.8880 2.8484 +v -4.4137 1.9630 2.6800 +v -4.4195 1.9389 2.7410 +v -4.5176 1.6136 3.2088 +v -4.5289 1.6199 3.2146 +v -4.4798 1.6221 3.1775 +v -4.4570 1.6828 3.0753 +v -4.4288 1.9238 2.7862 +v -4.4430 1.8627 2.8730 +v -4.4405 1.8446 2.8878 +v -4.4583 1.7381 3.0131 +v -4.4405 1.8944 2.8321 +v -4.4460 1.8771 2.8619 +v -4.4556 1.7605 2.9860 +v -4.4597 1.7523 3.0004 +v -4.4618 1.6496 3.1257 +v -4.5021 1.7094 2.9646 +v -4.4994 1.7158 2.9497 +v -4.5051 1.8231 2.8056 +v -4.4929 1.8396 2.7711 +v -4.5124 1.5940 3.0952 +v -4.4880 1.8676 2.7274 +v -4.5406 1.5743 3.1412 +v -4.5728 1.5883 3.1821 +v -4.4779 1.8945 2.6849 +v -4.5005 1.6980 2.9764 +v -4.5023 1.8089 2.8186 +v -4.5025 1.6377 3.0426 +v -4.5021 1.7940 2.8320 +v -4.4681 1.9003 2.5865 +v -4.5021 1.8313 2.7926 +v -4.4970 1.7528 2.8811 +v -4.5693 1.5798 3.1768 +v -4.5623 1.7127 3.1110 +v -4.5568 1.6090 3.2023 +v -4.5254 1.6452 3.2017 +v -4.5834 1.6035 3.1613 +v -4.5790 1.6872 3.1031 +v -4.5829 1.6272 3.1375 +v -4.5213 1.6737 3.1776 +v -4.5434 1.7148 3.1296 +v -4.5364 1.6252 3.2074 +v -4.5762 1.5988 3.1808 +v -4.5653 1.6535 3.1685 +v -4.5615 1.6277 3.1898 +v -4.5506 1.6794 2.9878 +v -4.5764 1.6959 2.9931 +v -4.4699 1.6959 3.0141 +v -4.5487 1.7949 3.0741 +v -4.6016 1.7537 3.0389 +v -4.5867 1.7813 3.0596 +v -4.4665 1.7670 3.0590 +v -4.4788 1.7807 3.0640 +v -4.4573 1.7147 3.0307 +v -4.4981 1.6777 2.9967 +v -4.7001 1.6046 2.8585 +v -4.7795 1.5316 2.7483 +v -4.8044 1.5842 2.7925 +v -4.7545 1.6107 2.8512 +v -4.7401 1.7540 2.7510 +v -4.7981 1.7185 2.6810 +v -4.7705 1.6590 2.6306 +v -4.6822 1.7394 2.7566 +v -4.6206 1.8291 2.6586 +v -4.7241 1.7514 2.5370 +v -4.7596 1.8284 2.5776 +v -4.6741 1.9232 2.5871 +v -4.7513 1.8833 2.5084 +v -4.6834 1.8084 2.4723 +v -4.5743 1.8934 2.6083 +v -4.6983 1.8537 2.6410 +v -4.6589 1.7283 2.7498 +v -4.6765 1.5891 2.8549 +v -4.6575 1.7778 2.4617 +v -4.6898 1.7268 2.5256 +v -4.7426 1.6384 2.6212 +v -4.7434 1.5082 2.7377 +v -4.5495 1.8762 2.5921 +v -4.5939 1.8097 2.6415 +v -4.7733 1.4249 3.0151 +v -4.7890 1.4617 2.9679 +v -4.7767 1.3950 3.0352 +v -4.8306 1.3794 2.9278 +v -4.8331 1.3382 2.9508 +v -4.8074 1.3213 3.0214 +v -4.8244 1.4331 2.9184 +v -4.8103 1.4568 2.9390 +v -4.8180 1.3339 3.0208 +v -4.8054 1.4455 2.9435 +v -4.7874 1.3924 3.0343 +v -4.8355 1.3441 2.9648 +v -4.8174 1.4268 2.9273 +v -4.8321 1.3744 2.9405 +v -4.7779 1.4197 3.0155 +v -4.7935 1.6083 2.8225 +v -4.7827 1.7457 2.7193 +v -4.7286 1.9068 2.5600 +v -4.7396 1.8548 2.6132 +v -4.7862 1.4490 2.9698 +v -4.6683 1.5253 2.7849 +v -4.6405 1.6557 2.6755 +v -4.5316 1.7837 2.4896 +v -4.5891 1.7349 2.5708 +v -4.7890 1.4762 2.9599 +v -4.7566 1.4450 2.9999 +v -4.8277 1.3868 2.9049 +v -4.8266 1.4427 2.9098 +v -4.8181 1.3500 2.9187 +v -4.7487 1.4075 3.0236 +v -4.8130 1.4679 2.9331 +v -4.7614 1.3100 3.0010 +v -4.7027 1.3941 2.9032 +v -4.8122 1.4932 2.9152 +v -4.7222 1.4773 2.9567 +v -4.7795 1.4028 2.8505 +v -4.8246 1.4710 2.8867 +v -4.8071 1.4257 2.8513 +v -4.7391 1.4912 2.9569 +v -4.7825 1.5045 2.9407 +v -4.7334 1.7328 2.5561 +v -4.7681 1.8001 2.6062 +v -4.7056 1.8257 2.6685 +v -4.7026 1.7049 2.5465 +v -4.6113 1.7893 2.6721 +v -4.6377 1.8096 2.6812 +v -4.7503 1.8239 2.6418 +v -4.5998 1.7149 2.6013 +v -4.7836 1.7188 2.7413 +v -4.7457 1.6228 2.6353 +v -4.7996 1.6899 2.7065 +v -4.7749 1.6412 2.6498 +v -4.6406 1.6198 2.7071 +v -4.7838 1.6774 2.7701 +v -4.6686 1.6847 2.7897 +v -4.7469 1.5961 2.6608 +v -4.7714 1.5290 2.9234 +v -4.7296 1.5254 2.9272 +v -4.7986 1.4595 2.8208 +v -4.8202 1.4957 2.8602 +v -4.7673 1.4406 2.8104 +v -4.7099 1.5179 2.9218 +v -4.8099 1.5212 2.8947 +v -4.6883 1.4521 2.8535 +v -4.6535 1.5691 2.7475 +v -4.6692 1.6390 2.8183 +v -4.7465 1.6565 2.8136 +v -4.6902 1.6475 2.8235 +v -4.7974 1.6560 2.7366 +v -4.7460 1.6875 2.7898 +v -4.7752 1.6157 2.6776 +v -4.6908 1.6894 2.7945 +v -4.7752 1.5793 2.7092 +v -4.7994 1.6258 2.7619 +v -4.7870 1.6479 2.7922 +v -4.7382 1.5517 2.6979 +v -4.6534 1.7432 2.7371 +v -4.6769 1.7564 2.7402 +v -4.7738 1.7705 2.6963 +v -4.6328 1.6662 2.6623 +v -4.6403 1.6394 2.6893 +v -4.6628 1.7127 2.7647 +v -4.6873 1.7202 2.7726 +v -4.7401 1.7265 2.7681 +v -4.7650 1.6787 2.6141 +v -4.7892 1.7413 2.6595 +v -4.7297 1.7728 2.7284 +v -4.7359 1.6535 2.6069 +v -4.7646 1.5643 2.8961 +v -4.7928 1.4898 2.7941 +v -4.7629 1.4671 2.7827 +v -4.8048 1.5596 2.8647 +v -4.6906 1.4851 2.8304 +v -4.7194 1.5569 2.9011 +v -4.8143 1.5336 2.8316 +v -4.7017 1.5450 2.8982 +v -4.7676 1.5468 2.9110 +v -4.7959 1.4746 2.8079 +v -4.7653 1.4547 2.7976 +v -4.8099 1.5415 2.8799 +v -4.6886 1.4692 2.8417 +v -4.7246 1.5423 2.9131 +v -4.8198 1.5148 2.8459 +v -4.7052 1.5309 2.9094 +v -4.7200 1.3400 2.9531 +v -4.7325 1.4424 2.9889 +v -4.8246 1.4502 2.9008 +v -4.7969 1.3677 2.8888 +v -4.8188 1.4002 2.8811 +v -4.8113 1.4740 2.9272 +v -4.7853 1.4855 2.9537 +v -4.7494 1.4680 2.9794 +v -4.6580 1.5441 2.8145 +v -4.6355 1.6845 2.7135 +v -4.4978 1.8487 2.5325 +v -4.5778 1.7658 2.6060 +v -4.7900 1.3478 3.0428 +v -4.8025 1.3515 3.0385 +v -4.7431 1.3432 3.0284 +v -4.6925 1.4235 2.9327 +v -4.5905 1.7450 2.6381 +v -4.6332 1.6479 2.7416 +v -4.6426 1.5950 2.7797 +v -4.6789 1.4765 2.8853 +v -4.6272 1.6975 2.7018 +v -4.6343 1.6693 2.7290 +v -4.6802 1.5096 2.8608 +v -4.6793 1.4921 2.8727 +v -4.7083 1.3703 2.9807 +v -4.7126 1.4537 2.8174 +v -4.7127 1.4694 2.8057 +v -4.6698 1.6202 2.6575 +v -4.6626 1.6462 2.6317 +v -4.7475 1.3359 2.9176 +v -4.6360 1.6980 2.5693 +v -4.7846 1.3016 2.9651 +v -4.8295 1.3277 2.9951 +v -4.6207 1.7238 2.5435 +v -4.7130 1.4381 2.8280 +v -4.6700 1.5954 2.6763 +v -4.7298 1.3844 2.8741 +v -4.6790 1.5510 2.7168 +v -4.5944 1.7770 2.4426 +v -4.6716 1.6352 2.6443 +v -4.6907 1.5090 2.7584 +v -4.8210 1.3128 2.9902 +v -4.8020 1.4399 2.9464 +v -4.8206 1.3431 3.0176 +v -4.7915 1.3821 3.0307 +v -4.8325 1.3460 2.9713 +v -4.8131 1.4248 2.9286 +v -4.8276 1.3739 2.9507 +v -4.7839 1.4103 3.0113 +v -4.7854 1.4443 2.9688 +v -4.8076 1.3534 3.0292 +v -4.8267 1.3336 2.9973 +v -4.8118 1.3927 2.9828 +v -4.8175 1.3660 3.0035 +v -4.7711 1.4263 2.8247 +v -4.8013 1.4462 2.8321 +v -4.6914 1.4322 2.8688 +v -4.7775 1.5176 2.9310 +v -4.8218 1.4845 2.8730 +v -4.8103 1.5061 2.9060 +v -4.7168 1.5039 2.9355 +v -4.7335 1.5121 2.9388 +v -4.6817 1.4569 2.9014 +v -4.7156 1.4190 2.8430 +v -4.8226 1.5545 2.5955 +v -4.8837 1.4995 2.4828 +v -4.9046 1.5290 2.5135 +v -4.8716 1.5607 2.5761 +v -4.8427 1.6928 2.5041 +v -4.8799 1.6595 2.4371 +v -4.8609 1.6209 2.4009 +v -4.7899 1.6808 2.5278 +v -4.7313 1.7612 2.4715 +v -4.8076 1.7067 2.3293 +v -4.8356 1.7657 2.3723 +v -4.7653 1.8347 2.4193 +v -4.8253 1.8174 2.3331 +v -4.7411 1.7434 2.2661 +v -4.6983 1.7969 2.4417 +v -4.7876 1.7854 2.4414 +v -4.7630 1.6653 2.5220 +v -4.7941 1.5416 2.5921 +v -4.7223 1.7052 2.2682 +v -4.7814 1.6794 2.3235 +v -4.8336 1.5978 2.3877 +v -4.8551 1.4778 2.4702 +v -4.6717 1.7736 2.4467 +v -4.7097 1.7372 2.4661 +v -4.9113 1.3134 2.7447 +v -4.9184 1.3661 2.6879 +v -4.9068 1.2781 2.7589 +v -4.9525 1.2675 2.6476 +v -4.9545 1.2372 2.6651 +v -4.9218 1.2221 2.7246 +v -4.9421 1.3395 2.6352 +v -4.9358 1.3631 2.6573 +v -4.9408 1.2280 2.7315 +v -4.9324 1.3539 2.6622 +v -4.9229 1.2722 2.7569 +v -4.9627 1.2422 2.6781 +v -4.9410 1.3318 2.6430 +v -4.9622 1.2640 2.6598 +v -4.9202 1.3053 2.7457 +v -4.9028 1.5513 2.5446 +v -4.8738 1.6829 2.4692 +v -4.8076 1.8305 2.3787 +v -4.8211 1.7830 2.4094 +v -4.9164 1.3556 2.6909 +v -4.7733 1.4853 2.5107 +v -4.7362 1.5992 2.4350 +v -4.6400 1.7202 2.3344 +v -4.6820 1.6730 2.3783 +v -4.9173 1.3797 2.6812 +v -4.8864 1.3336 2.7299 +v -4.9414 1.2868 2.6242 +v -4.9437 1.3490 2.6280 +v -4.9321 1.2569 2.6326 +v -4.8743 1.3054 2.7427 +v -4.9364 1.3757 2.6503 +v -4.8788 1.2316 2.6985 +v -4.8220 1.3244 2.6170 +v -4.9324 1.4097 2.6281 +v -4.8347 1.3888 2.6857 +v -4.8954 1.3348 2.5719 +v -4.9354 1.3872 2.6019 +v -4.9179 1.3516 2.5775 +v -4.8570 1.4062 2.6854 +v -4.9078 1.4201 2.6553 +v -4.8230 1.6873 2.3519 +v -4.8459 1.7358 2.3916 +v -4.8020 1.7605 2.4555 +v -4.7956 1.6628 2.3403 +v -4.7250 1.7251 2.4786 +v -4.7514 1.7447 2.4855 +v -4.8328 1.7577 2.4225 +v -4.6939 1.6562 2.3894 +v -4.8836 1.6618 2.4814 +v -4.8361 1.5813 2.3952 +v -4.8895 1.6388 2.4504 +v -4.8674 1.6017 2.4105 +v -4.7482 1.5763 2.4511 +v -4.8856 1.6390 2.4925 +v -4.7724 1.6361 2.5403 +v -4.8381 1.5631 2.4059 +v -4.8980 1.4543 2.6390 +v -4.8477 1.4477 2.6597 +v -4.9054 1.3980 2.5457 +v -4.9301 1.4242 2.5791 +v -4.8752 1.3833 2.5370 +v -4.8205 1.4374 2.6554 +v -4.9267 1.4431 2.6072 +v -4.8112 1.3975 2.5698 +v -4.7498 1.5644 2.4580 +v -4.7750 1.6175 2.5493 +v -4.8601 1.6313 2.5343 +v -4.8009 1.6290 2.5568 +v -4.8904 1.6180 2.4637 +v -4.8592 1.6550 2.5232 +v -4.8699 1.5824 2.4238 +v -4.7977 1.6503 2.5463 +v -4.8697 1.5627 2.4357 +v -4.8916 1.5952 2.4756 +v -4.8885 1.6169 2.5037 +v -4.8411 1.5499 2.4159 +v -4.7572 1.6820 2.5120 +v -4.7840 1.6984 2.5161 +v -4.8633 1.7021 2.4577 +v -4.7285 1.6076 2.4231 +v -4.7421 1.5928 2.4431 +v -4.7674 1.6539 2.5292 +v -4.7934 1.6675 2.5364 +v -4.8535 1.6769 2.5143 +v -4.8501 1.6441 2.3899 +v -4.8706 1.6796 2.4258 +v -4.8317 1.7082 2.4905 +v -4.8240 1.6170 2.3759 +v -4.8845 1.4946 2.6149 +v -4.8984 1.4404 2.5214 +v -4.8730 1.4184 2.5120 +v -4.9163 1.4849 2.5770 +v -4.7965 1.4248 2.5482 +v -4.8409 1.4887 2.6349 +v -4.9154 1.4689 2.5471 +v -4.8132 1.4785 2.6335 +v -4.8905 1.4731 2.6273 +v -4.9026 1.4180 2.5344 +v -4.8748 1.3985 2.5263 +v -4.9204 1.4633 2.5936 +v -4.8062 1.4085 2.5615 +v -4.8453 1.4657 2.6487 +v -4.9220 1.4418 2.5637 +v -4.8177 1.4551 2.6456 +v -4.8436 1.2685 2.6607 +v -4.8521 1.3434 2.7134 +v -4.9413 1.3679 2.6182 +v -4.9172 1.2879 2.6070 +v -4.9339 1.3159 2.6041 +v -4.9343 1.3917 2.6405 +v -4.9131 1.3991 2.6688 +v -4.8736 1.3705 2.7080 +v -4.7651 1.5040 2.5469 +v -4.7327 1.6239 2.4778 +v -4.6366 1.7561 2.3966 +v -4.6773 1.6954 2.4216 +v -4.9093 1.2372 2.7470 +v -4.9299 1.2389 2.7487 +v -4.8689 1.2519 2.7245 +v -4.8117 1.3444 2.6489 +v -4.6897 1.6780 2.4316 +v -4.7433 1.6000 2.4936 +v -4.7448 1.5851 2.5021 +v -4.7998 1.4125 2.6063 +v -4.7230 1.6344 2.4674 +v -4.7395 1.6172 2.4847 +v -4.7854 1.4418 2.5821 +v -4.7955 1.4254 2.5975 +v -4.8341 1.2925 2.6880 +v -4.8288 1.3981 2.5373 +v -4.8220 1.4128 2.5227 +v -4.7726 1.5811 2.4039 +v -4.7590 1.5985 2.3898 +v -4.8684 1.2595 2.6338 +v -4.7282 1.6435 2.3563 +v -4.8969 1.2234 2.6704 +v -4.9542 1.2225 2.7139 +v -4.7154 1.6615 2.3423 +v -4.8361 1.3848 2.5461 +v -4.7794 1.5671 2.4146 +v -4.8468 1.3153 2.5911 +v -4.7803 1.5528 2.4242 +v -4.6611 1.7063 2.2677 +v -4.7672 1.5889 2.3971 +v -4.8028 1.4726 2.4786 +v -4.9403 1.2159 2.7026 +v -4.9242 1.3451 2.6642 +v -4.9437 1.2392 2.7277 +v -4.9263 1.2780 2.7472 +v -4.9619 1.2485 2.6877 +v -4.9380 1.3272 2.6466 +v -4.9595 1.2677 2.6682 +v -4.9217 1.3019 2.7385 +v -4.9145 1.3492 2.6911 +v -4.9341 1.2476 2.7420 +v -4.9517 1.2337 2.7129 +v -4.9475 1.2843 2.7074 +v -4.9506 1.2665 2.7181 +v -4.8801 1.3669 2.5487 +v -4.9096 1.3792 2.5582 +v -4.8119 1.3749 2.5817 +v -4.9023 1.4382 2.6464 +v -4.9320 1.4064 2.5905 +v -4.9298 1.4265 2.6177 +v -4.8240 1.4191 2.6662 +v -4.8509 1.4308 2.6702 +v -4.8006 1.3923 2.6188 +v -4.8398 1.3661 2.5558 +v -4.8143 1.5373 2.3130 +v -4.8485 1.4949 2.2066 +v -4.8791 1.5229 2.2390 +v -4.8661 1.5362 2.2851 +v -4.8562 1.6405 2.2428 +v -4.8704 1.6195 2.1936 +v -4.8335 1.5759 2.1641 +v -4.7964 1.6318 2.2851 +v -4.7643 1.7088 2.2503 +v -4.8019 1.6476 2.1252 +v -4.8369 1.7002 2.1564 +v -4.8075 1.7909 2.1807 +v -4.8147 1.7627 2.1274 +v -4.7775 1.6890 2.0942 +v -4.7499 1.7452 2.2397 +v -4.8219 1.7284 2.2038 +v -4.7702 1.6161 2.2788 +v -4.7917 1.5302 2.3115 +v -4.7472 1.6609 2.0990 +v -4.7734 1.6276 2.1228 +v -4.8041 1.5591 2.1587 +v -4.8264 1.4824 2.2006 +v -4.7293 1.7119 2.2475 +v -4.7398 1.6933 2.2512 +v -4.8624 1.3633 2.3823 +v -4.8772 1.3861 2.3507 +v -4.8615 1.3431 2.3905 +v -4.8903 1.3191 2.3092 +v -4.8895 1.3029 2.3155 +v -4.8807 1.2898 2.3661 +v -4.8892 1.3612 2.3116 +v -4.8855 1.3777 2.3287 +v -4.8896 1.2953 2.3666 +v -4.8855 1.3721 2.3318 +v -4.8705 1.3404 2.3898 +v -4.8955 1.3056 2.3226 +v -4.8902 1.3580 2.3134 +v -4.8959 1.3200 2.3160 +v -4.8717 1.3580 2.3821 +v -4.8800 1.5337 2.2634 +v -4.8698 1.6352 2.2173 +v -4.8197 1.7801 2.1525 +v -4.8338 1.7191 2.1796 +v -4.8779 1.3793 2.3526 +v -4.7671 1.4876 2.2398 +v -4.7429 1.5684 2.2074 +v -4.6982 1.6694 2.1699 +v -4.7155 1.6390 2.1815 +v -4.8765 1.3980 2.3467 +v -4.8492 1.3796 2.3761 +v -4.8838 1.3281 2.2941 +v -4.8888 1.3713 2.3044 +v -4.8786 1.3097 2.2993 +v -4.8424 1.3596 2.3837 +v -4.8861 1.3881 2.3236 +v -4.8450 1.2853 2.3551 +v -4.7901 1.3714 2.2972 +v -4.8914 1.4271 2.3080 +v -4.8170 1.4202 2.3546 +v -4.8522 1.3749 2.2521 +v -4.8928 1.4117 2.2833 +v -4.8705 1.3859 2.2545 +v -4.8359 1.4312 2.3543 +v -4.8785 1.4351 2.3325 +v -4.8101 1.6309 2.1355 +v -4.8427 1.6740 2.1664 +v -4.8309 1.6996 2.2148 +v -4.7825 1.6129 2.1310 +v -4.7456 1.6726 2.2547 +v -4.7700 1.6891 2.2569 +v -4.8432 1.6928 2.1914 +v -4.7240 1.6219 2.1837 +v -4.8727 1.6135 2.2280 +v -4.8105 1.5418 2.1687 +v -4.8729 1.5999 2.2040 +v -4.8379 1.5584 2.1749 +v -4.7534 1.5335 2.2228 +v -4.8736 1.5899 2.2397 +v -4.7789 1.5785 2.2919 +v -4.8140 1.5273 2.1774 +v -4.8744 1.4791 2.3121 +v -4.8288 1.4748 2.3364 +v -4.8639 1.4340 2.2319 +v -4.8905 1.4625 2.2636 +v -4.8430 1.4228 2.2271 +v -4.8087 1.4678 2.3351 +v -4.8890 1.4756 2.2885 +v -4.7816 1.4272 2.2697 +v -4.7589 1.5164 2.2287 +v -4.7840 1.5552 2.3001 +v -4.8618 1.5680 2.2722 +v -4.8091 1.5647 2.3023 +v -4.8733 1.5773 2.2165 +v -4.8591 1.5944 2.2620 +v -4.8409 1.5417 2.1844 +v -4.8038 1.5886 2.2957 +v -4.8426 1.5213 2.1937 +v -4.8748 1.5495 2.2257 +v -4.8754 1.5657 2.2514 +v -4.8167 1.5094 2.1875 +v -4.7668 1.6354 2.2728 +v -4.7917 1.6523 2.2778 +v -4.8626 1.6532 2.2107 +v -4.7384 1.5855 2.1999 +v -4.7481 1.5500 2.2154 +v -4.7748 1.5970 2.2856 +v -4.8004 1.6098 2.2905 +v -4.8586 1.6185 2.2524 +v -4.8287 1.5936 2.1540 +v -4.8638 1.6353 2.1852 +v -4.8478 1.6590 2.2350 +v -4.7993 1.5756 2.1497 +v -4.8684 1.5080 2.2994 +v -4.8567 1.4641 2.2199 +v -4.8370 1.4521 2.2142 +v -4.8830 1.5047 2.2768 +v -4.7802 1.4561 2.2569 +v -4.8212 1.5054 2.3258 +v -4.8836 1.4924 2.2527 +v -4.7999 1.4992 2.3227 +v -4.8710 1.4944 2.3051 +v -4.8601 1.4492 2.2257 +v -4.8396 1.4398 2.2197 +v -4.8855 1.4922 2.2824 +v -4.7823 1.4412 2.2629 +v -4.8253 1.4896 2.3308 +v -4.8871 1.4781 2.2586 +v -4.8061 1.4828 2.3284 +v -4.8061 1.3152 2.3281 +v -4.8282 1.3867 2.3697 +v -4.8927 1.3886 2.2942 +v -4.8675 1.3318 2.2784 +v -4.8785 1.3490 2.2749 +v -4.8916 1.4050 2.3170 +v -4.8800 1.4175 2.3440 +v -4.8420 1.4042 2.3657 +v -4.7610 1.4988 2.2666 +v -4.7400 1.5782 2.2290 +v -4.6919 1.7055 2.2118 +v -4.7146 1.6535 2.2042 +v -4.8693 1.3036 2.3830 +v -4.8798 1.3087 2.3839 +v -4.8340 1.3052 2.3776 +v -4.7873 1.3841 2.3226 +v -4.7227 1.6340 2.2062 +v -4.7488 1.5448 2.2454 +v -4.7542 1.5249 2.2521 +v -4.7790 1.4401 2.2978 +v -4.7367 1.5960 2.2218 +v -4.7444 1.5609 2.2383 +v -4.7759 1.4671 2.2805 +v -4.7787 1.4524 2.2885 +v -4.8017 1.3338 2.3508 +v -4.7967 1.4342 2.2393 +v -4.7932 1.4481 2.2350 +v -4.7590 1.5427 2.1953 +v -4.7487 1.5764 2.1793 +v -4.8245 1.3071 2.3036 +v -4.7328 1.6124 2.1619 +v -4.8580 1.2794 2.3275 +v -4.8955 1.2921 2.3448 +v -4.7239 1.6268 2.1569 +v -4.7973 1.4175 2.2454 +v -4.7649 1.5271 2.2019 +v -4.8068 1.3630 2.2720 +v -4.7719 1.5101 2.2081 +v -4.7073 1.6532 2.1466 +v -4.7539 1.5599 2.1868 +v -4.7816 1.4791 2.2188 +v -4.8870 1.2863 2.3412 +v -4.8847 1.3671 2.3331 +v -4.8947 1.3048 2.3654 +v -4.8769 1.3348 2.3844 +v -4.8954 1.3108 2.3274 +v -4.8881 1.3530 2.3168 +v -4.8942 1.3205 2.3213 +v -4.8718 1.3527 2.3789 +v -4.8765 1.3742 2.3537 +v -4.8848 1.3147 2.3798 +v -4.8978 1.2996 2.3465 +v -4.8882 1.3373 2.3500 +v -4.8912 1.3245 2.3550 +v -4.8469 1.4083 2.2341 +v -4.8664 1.4158 2.2401 +v -4.7822 1.4111 2.2775 +v -4.8757 1.4607 2.3192 +v -4.8913 1.4406 2.2721 +v -4.8900 1.4550 2.2969 +v -4.8104 1.4506 2.3419 +v -4.8313 1.4583 2.3432 +v -4.7798 1.4247 2.3063 +v -4.7984 1.4029 2.2511 +v -3.9118 2.1358 2.6379 +v -4.0829 2.1280 2.6982 +v -4.0239 2.1768 2.6968 +v -3.9218 2.1751 2.6635 +v -3.9216 2.0971 2.6181 +v -4.0823 2.0967 2.6674 +v -3.8669 2.0342 2.7921 +v -3.9000 2.0782 2.7709 +v -3.8547 1.9997 2.8191 +v -3.9988 2.0783 2.8466 +v -3.9931 2.0394 2.8713 +v -3.9328 1.9815 2.8756 +v -3.9745 2.1010 2.8093 +v -3.9384 2.1031 2.7803 +v -3.9148 2.0013 2.8978 +v -3.9367 2.0941 2.7869 +v -3.8570 2.0121 2.8497 +v -3.9670 2.0446 2.8923 +v -3.9687 2.0958 2.8216 +v -3.9794 2.0817 2.8556 +v -3.8690 2.0360 2.8078 +v -3.9627 2.1976 2.6885 +v -3.8982 2.0741 2.7791 +v -4.0255 2.0544 2.6191 +v -3.9030 2.0864 2.7592 +v -3.8690 2.0436 2.7708 +v -4.0148 2.0787 2.8302 +v -3.9814 2.1052 2.7982 +v -4.0148 2.0401 2.8445 +v -3.8620 2.0021 2.7831 +v -3.9411 2.1108 2.7721 +v -3.9475 1.9736 2.8419 +v -3.9869 1.9911 2.7447 +v -3.9481 2.1311 2.7539 +v -3.8880 2.0231 2.7202 +v -4.0469 2.0491 2.7796 +v -3.9964 2.1186 2.7718 +v -4.0419 2.0862 2.7871 +v -3.8829 2.0677 2.7250 +v -3.9097 2.1104 2.7343 +v -3.9145 2.1328 2.7126 +v -3.8951 2.0922 2.6919 +v -4.0591 2.0991 2.7503 +v -4.0083 2.1360 2.7474 +v -4.0687 2.0674 2.7277 +v -3.9033 2.0512 2.6750 +v -3.9535 2.1531 2.7362 +v -4.0097 2.0160 2.6790 +v -4.0355 2.0696 2.5865 +v -3.9308 2.1162 2.5905 +v -3.9320 2.1919 2.6316 +v -3.9204 2.1537 2.6102 +v -4.0950 2.1485 2.6642 +v -4.0349 2.1944 2.6671 +v -3.9741 2.2132 2.6600 +v -4.0974 2.1146 2.6361 +v -3.9153 2.1595 2.6862 +v -4.0696 2.1159 2.7164 +v -4.0765 2.0843 2.6927 +v -3.9569 2.1818 2.7126 +v -4.0169 2.0327 2.6451 +v -3.9049 2.1185 2.6611 +v -4.0172 2.1586 2.7183 +v -3.9143 2.0771 2.6423 +v -3.9128 2.1450 2.7020 +v -4.0648 2.1050 2.7348 +v -4.0733 2.0745 2.7116 +v -3.9530 2.1679 2.7279 +v -4.0131 2.0234 2.6599 +v -3.8995 2.1034 2.6791 +v -4.0123 2.1460 2.7361 +v -3.9078 2.0620 2.6614 +v -3.9683 1.9766 2.7907 +v -3.8736 2.0084 2.7484 +v -3.9888 2.1110 2.7859 +v -4.0311 2.0431 2.8151 +v -4.0289 2.0813 2.8106 +v -3.9445 2.1201 2.7637 +v -3.9065 2.0978 2.7470 +v -3.8766 2.0549 2.7470 +v -3.9605 2.0588 2.6073 +v -3.8815 1.9753 2.8512 +v -3.8726 1.9996 2.8744 +v -3.8936 1.9675 2.8148 +v -3.9285 1.9859 2.7222 +v -3.9713 2.0806 2.5761 +v -3.9479 2.0118 2.6636 +v -3.9569 2.0340 2.6326 +v -3.9513 2.0197 2.6501 +v -3.9117 1.9716 2.7697 +v -4.0567 2.0492 2.6883 +v -4.0604 2.0593 2.6722 +v -4.0126 2.0115 2.8088 +v -3.9931 2.0069 2.8482 +v -3.9505 2.0183 2.9037 +v -4.0524 2.0424 2.7037 +v -4.0299 2.0215 2.7654 +v -4.0803 2.0884 2.6147 +v -4.0720 2.0794 2.6517 +v -3.9702 2.0071 2.8797 +v -3.9365 2.0874 2.7920 +v -3.9084 2.0215 2.8893 +v -3.8680 2.0166 2.8545 +v -3.9553 2.0504 2.8865 +v -3.9697 2.0923 2.8212 +v -3.9709 2.0744 2.8518 +v -3.8738 2.0376 2.8163 +v -3.8990 2.0703 2.7802 +v -3.8794 2.0137 2.8748 +v -3.9439 2.0348 2.8960 +v -3.9152 2.0616 2.8445 +v -3.9085 2.0386 2.8772 +v -4.0603 2.0588 2.7488 +v -4.0513 2.0925 2.7677 +v -4.0046 2.0104 2.6940 +v -3.9118 2.1227 2.7237 +v -4.0031 2.1275 2.7607 +v -3.9507 2.1432 2.7464 +v -3.8971 2.0393 2.6930 +v -3.8896 2.0813 2.7064 +v -3.9431 2.0028 2.6813 +v -4.0447 2.0345 2.7259 +v -4.5110 1.8758 2.9815 +v -4.5986 1.7957 2.9125 +v -4.6123 1.8871 2.8022 +v -4.5160 1.9666 2.8845 +v -4.5796 1.9571 2.6384 +v -4.5025 2.0565 2.7450 +v -4.5022 2.0250 2.7913 +v -4.5916 1.9514 2.7015 +v -4.5229 1.7287 3.1452 +v -4.5974 1.6638 3.0993 +v -4.5276 1.7102 3.1519 +v -4.5895 1.6587 3.1111 +v -4.6009 1.6704 3.0814 +v -4.5123 1.7444 3.1277 +v -4.5068 2.0051 2.8179 +v -4.5960 1.9329 2.7397 +v -4.6101 1.8493 2.8365 +v -4.5175 1.9340 2.9270 +v -4.4982 1.7752 3.0889 +v -4.5996 1.7328 2.9948 +v -4.4993 1.8029 3.0590 +v -4.6064 1.8321 2.8587 +v -4.5137 1.9114 2.9483 +v -4.5980 1.7062 3.0293 +v -4.6124 1.8692 2.8165 +v -4.5195 1.9500 2.9073 +v -4.5130 1.9784 2.8638 +v -4.6060 1.9071 2.7794 +v -4.5087 1.8274 3.0339 +v -4.5996 1.7572 2.9659 +v -4.5032 1.8146 3.0471 +v -4.6004 1.7445 2.9815 +v -4.5983 1.6829 3.0522 +v -4.5022 1.7580 3.1093 +v -4.5836 1.6557 3.1120 +v -4.5280 1.7041 3.1516 +v -4.5668 1.6735 3.1502 +v -4.5990 1.7206 3.0102 +v -4.4971 1.7922 3.0694 +v -4.7246 1.6089 2.8586 +v -4.7950 1.5541 2.7656 +v -4.7942 1.6923 2.6532 +v -4.7105 1.7483 2.7573 +v -4.7048 1.8492 2.4630 +v -4.6005 1.9226 2.5922 +v -4.6558 1.8428 2.6589 +v -4.7470 1.7900 2.5530 +v -4.7748 1.4510 2.9920 +v -4.8288 1.4048 2.9154 +v -4.7762 1.4403 2.9924 +v -4.8249 1.4052 2.9245 +v -4.8302 1.4148 2.9014 +v -4.7707 1.4672 2.9824 +v -4.6707 1.8219 2.6783 +v -4.7612 1.7662 2.5751 +v -4.7912 1.6334 2.7046 +v -4.7173 1.6879 2.7971 +v -4.7607 1.5031 2.9501 +v -4.8135 1.4758 2.8367 +v -4.7544 1.5318 2.9262 +v -4.7906 1.5990 2.7302 +v -4.7175 1.6548 2.8211 +v -4.8191 1.4454 2.8641 +v -4.7977 1.6706 2.6759 +v -4.7147 1.7238 2.7735 +v -4.7046 1.7670 2.7377 +v -4.7835 1.7095 2.6334 +v -4.7460 1.5639 2.9004 +v -4.8073 1.5089 2.8094 +v -4.7482 1.5464 2.9150 +v -4.8109 1.4915 2.8234 +v -4.8265 1.4254 2.8858 +v -4.7667 1.4831 2.9686 +v -4.8225 1.4027 2.9304 +v -4.7795 1.4352 2.9910 +v -4.8069 1.4163 2.9646 +v -4.8153 1.4629 2.8483 +v -4.7563 1.5170 2.9382 +v -4.8476 1.5621 2.5873 +v -4.8966 1.5143 2.4974 +v -4.8746 1.6399 2.4162 +v -4.8126 1.6903 2.5204 +v -4.8018 1.8164 2.2809 +v -4.7107 1.8265 2.4273 +v -4.7596 1.7790 2.4620 +v -4.8244 1.7363 2.3424 +v -4.9104 1.3467 2.7177 +v -4.9488 1.3027 2.6368 +v -4.9133 1.3357 2.7193 +v -4.9538 1.2995 2.6445 +v -4.9457 1.3144 2.6248 +v -4.9037 1.3646 2.7085 +v -4.7762 1.7575 2.4743 +v -4.8358 1.7061 2.3649 +v -4.8851 1.5996 2.4423 +v -4.8193 1.6595 2.5412 +v -4.8823 1.4181 2.6739 +v -4.9200 1.4090 2.5581 +v -4.8727 1.4544 2.6520 +v -4.8839 1.5779 2.4550 +v -4.8262 1.6348 2.5515 +v -4.9304 1.3692 2.5873 +v -4.8836 1.6212 2.4272 +v -4.8150 1.6766 2.5312 +v -4.8053 1.7068 2.5065 +v -4.8613 1.6624 2.4036 +v -4.8633 1.4940 2.6270 +v -4.9090 1.4540 2.5326 +v -4.8682 1.4725 2.6406 +v -4.9150 1.4303 2.5463 +v -4.9399 1.3431 2.6076 +v -4.8915 1.3913 2.6912 +v -4.9516 1.2995 2.6514 +v -4.9176 1.3319 2.7152 +v -4.9381 1.3111 2.6883 +v -4.9235 1.3911 2.5689 +v -4.8776 1.4385 2.6614 +v -4.8413 1.5384 2.3035 +v -4.8682 1.5118 2.2218 +v -4.8622 1.6036 2.1780 +v -4.8310 1.6410 2.2717 +v -4.8059 1.7365 2.1107 +v -4.7838 1.7917 2.2218 +v -4.8012 1.7263 2.2313 +v -4.8264 1.6752 2.1384 +v -4.8681 1.3810 2.3680 +v -4.8898 1.3418 2.3058 +v -4.8718 1.3736 2.3687 +v -4.8922 1.3389 2.3124 +v -4.8870 1.3513 2.2944 +v -4.8628 1.3949 2.3634 +v -4.8099 1.7011 2.2396 +v -4.8319 1.6547 2.1475 +v -4.8614 1.5624 2.1984 +v -4.8345 1.5930 2.2841 +v -4.8593 1.4399 2.3487 +v -4.8836 1.4491 2.2497 +v -4.8549 1.4793 2.3284 +v -4.8635 1.5372 2.2096 +v -4.8370 1.5683 2.2921 +v -4.8847 1.3977 2.2657 +v -4.8630 1.5823 2.1900 +v -4.8341 1.6187 2.2773 +v -4.8255 1.6603 2.2610 +v -4.8569 1.6194 2.1703 +v -4.8481 1.5092 2.3158 +v -4.8749 1.4789 2.2364 +v -4.8513 1.4946 2.3224 +v -4.8791 1.4624 2.2422 +v -4.8868 1.3674 2.2768 +v -4.8589 1.4166 2.3575 +v -4.8914 1.3383 2.3157 +v -4.8715 1.3666 2.3668 +v -4.8848 1.3543 2.3419 +v -4.8843 1.4319 2.2558 +v -4.8578 1.4615 2.3356 +v -4.4462 1.8318 2.9552 +v -4.4503 1.9235 2.8700 +v -4.4132 2.0006 2.7059 +v -4.4232 1.9751 2.7659 +v -4.5826 1.5815 3.1623 +v -4.5209 1.6317 3.2147 +v -4.5244 1.7527 2.8727 +v -4.5307 1.8280 2.7808 +v -4.4967 1.8872 2.5977 +v -4.5132 1.8952 2.6726 +v -4.4768 1.6518 3.1709 +v -4.4593 1.7216 3.0866 +v -4.4352 1.9554 2.8062 +v -4.4497 1.8983 2.8988 +v -4.4490 1.8797 2.9141 +v -4.4595 1.7690 3.0327 +v -4.4481 1.9324 2.8552 +v -4.4496 1.9109 2.8855 +v -4.4588 1.7916 3.0118 +v -4.4602 1.7798 3.0228 +v -4.5391 1.6088 3.0699 +v -4.5064 1.6322 3.2063 +v -4.4654 1.6981 3.1188 +v -4.5236 1.7038 2.9568 +v -4.5295 1.8202 2.7971 +v -4.5285 1.8433 2.7581 +v -4.5226 1.7100 2.9432 +v -4.5250 1.8707 2.7159 +v -4.5853 1.5897 3.1655 +v -4.5631 1.5829 3.1185 +v -4.5235 1.6950 2.9685 +v -4.5237 1.6389 3.0297 +v -4.5287 1.7927 2.8291 +v -4.5295 1.8073 2.8100 +v -4.5307 1.6351 3.2083 +v -4.5823 1.5981 3.1691 +v -4.5577 1.6177 3.1926 +v -4.4577 1.7520 3.0486 +v -4.5221 1.6766 2.9866 +v -4.6599 1.5663 2.8388 +v -4.6409 1.7046 2.7329 +v -4.5164 1.8558 2.5706 +v -4.5796 1.7865 2.6218 +v -4.8301 1.3221 2.9666 +v -4.7919 1.3700 3.0451 +v -4.7184 1.4969 2.7397 +v -4.7079 1.6291 2.6267 +v -4.6321 1.7766 2.4546 +v -4.6596 1.7172 2.5278 +v -4.7398 1.3759 3.0306 +v -4.7025 1.4537 2.9498 +v -4.5964 1.7675 2.6574 +v -4.6425 1.6678 2.7695 +v -4.6483 1.6195 2.8030 +v -4.6893 1.4995 2.9095 +v -4.6339 1.7188 2.7212 +v -4.6426 1.6918 2.7486 +v -4.6853 1.5304 2.8837 +v -4.6876 1.5163 2.8951 +v -4.7702 1.3408 2.9049 +v -4.7823 1.3651 3.0465 +v -4.7132 1.4034 2.9903 +v -4.7411 1.4502 2.8020 +v -4.7082 1.6140 2.6400 +v -4.7024 1.6436 2.6114 +v -4.7392 1.4631 2.7884 +v -4.6730 1.6908 2.5496 +v -4.8328 1.3323 2.9807 +v -4.8068 1.3157 2.9437 +v -4.7432 1.4344 2.8137 +v -4.7571 1.3896 2.8576 +v -4.7102 1.5412 2.6969 +v -4.7113 1.5866 2.6612 +v -4.7988 1.3687 3.0367 +v -4.8300 1.3362 2.9858 +v -4.8199 1.3517 3.0120 +v -4.6930 1.4838 2.9236 +v -4.7467 1.4178 2.8279 +v -4.7765 1.5262 2.5791 +v -4.7451 1.6456 2.5050 +v -4.6530 1.7616 2.4245 +v -4.6897 1.7151 2.4496 +v -4.9516 1.2210 2.6843 +v -4.9261 1.2499 2.7552 +v -4.8318 1.4720 2.4690 +v -4.8027 1.5866 2.3850 +v -4.6969 1.7026 2.2746 +v -4.7484 1.6653 2.3279 +v -4.8689 1.2738 2.7381 +v -4.8197 1.3698 2.6756 +v -4.7022 1.6998 2.4614 +v -4.7553 1.6195 2.5228 +v -4.7575 1.6014 2.5331 +v -4.8055 1.4246 2.6376 +v -4.7364 1.6593 2.4954 +v -4.7508 1.6363 2.5118 +v -4.7944 1.4642 2.6191 +v -4.8020 1.4425 2.6286 +v -4.8895 1.2641 2.6203 +v -4.9050 1.2526 2.7555 +v -4.8396 1.3168 2.7066 +v -4.8532 1.3945 2.5280 +v -4.8027 1.5767 2.3920 +v -4.7929 1.6024 2.3757 +v -4.8520 1.4133 2.5106 +v -4.7640 1.6463 2.3431 +v -4.9611 1.2255 2.6988 +v -4.9109 1.2291 2.6535 +v -4.8537 1.3814 2.5400 +v -4.8672 1.3171 2.5808 +v -4.8099 1.5504 2.4099 +v -4.8050 1.5639 2.4013 +v -4.9302 1.2592 2.7454 +v -4.9579 1.2376 2.7039 +v -4.9483 1.2520 2.7245 +v -4.8083 1.4055 2.6512 +v -4.8587 1.3639 2.5495 +v -4.7684 1.5118 2.2939 +v -4.7476 1.5940 2.2553 +v -4.7090 1.7091 2.2273 +v -4.7179 1.6704 2.2254 +v -4.8877 1.2930 2.3247 +v -4.8732 1.3214 2.3887 +v -4.8024 1.4763 2.2055 +v -4.7760 1.5541 2.1669 +v -4.7222 1.6505 2.1158 +v -4.7433 1.6187 2.1330 +v -4.8376 1.3347 2.3845 +v -4.7947 1.4000 2.3424 +v -4.7243 1.6463 2.2286 +v -4.7558 1.5628 2.2719 +v -4.7615 1.5407 2.2819 +v -4.7884 1.4541 2.3210 +v -4.7438 1.6106 2.2452 +v -4.7525 1.5793 2.2653 +v -4.7813 1.4828 2.3048 +v -4.7862 1.4682 2.3115 +v -4.8516 1.3211 2.2896 +v -4.8631 1.3224 2.3891 +v -4.8123 1.3586 2.3643 +v -4.8176 1.4327 2.2243 +v -4.7825 1.5379 2.1757 +v -4.7694 1.5705 2.1587 +v -4.8135 1.4466 2.2181 +v -4.7476 1.6033 2.1391 +v -4.8949 1.2969 2.3308 +v -4.8717 1.2964 2.3098 +v -4.8212 1.4178 2.2296 +v -4.8335 1.3666 2.2560 +v -4.7933 1.5053 2.1937 +v -4.7877 1.5231 2.1841 +v -4.8810 1.3243 2.3843 +v -4.8974 1.3039 2.3352 +v -4.8929 1.3172 2.3581 +v -4.7881 1.4365 2.3276 +v -4.8245 1.4032 2.2360 +v -4.5331 2.0792 2.7123 +v -4.5945 2.0231 2.6399 +v -4.4545 2.0664 2.7200 +v -4.4158 2.0428 2.7048 +v -4.5718 2.0579 2.6797 +v -4.4262 1.9470 2.6169 +v -4.4195 1.9701 2.6431 +v -4.4506 1.9124 2.5601 +v -4.6748 1.9642 2.5577 +v -4.7439 1.9268 2.4746 +v -4.7250 1.9435 2.5248 +v -4.5051 1.8137 2.4455 +v -4.4759 1.8545 2.4970 +v -4.5464 1.7993 2.4046 +v -4.7519 1.8797 2.3914 +v -4.8159 1.8617 2.2983 +v -4.8008 1.8711 2.3510 +v -4.6149 1.7359 2.3035 +v -4.5863 1.7639 2.3486 +v -4.6482 1.7121 2.2506 +v -4.7849 1.8347 2.1726 +v -4.7990 1.7943 2.1006 +v -4.7605 1.7114 2.0745 +v -4.7248 1.6839 2.0820 +v -4.8016 1.8161 2.1348 +v -4.6850 1.6855 2.1538 +v -4.6720 1.7065 2.1950 +v -4.6956 1.6690 2.1392 +v -4.5044 2.0753 2.7176 +v -4.7875 1.7688 2.0914 +v -4.4047 2.0052 2.6448 +v -4.6951 1.6736 2.1144 +v -4.5368 2.0992 2.6699 +v -4.5882 2.0572 2.6212 +v -4.4277 2.0952 2.6703 +v -4.5690 2.0929 2.6407 +v -4.3818 1.9859 2.5582 +v -4.3787 2.0309 2.6219 +v -4.3986 1.9474 2.4978 +v -4.6798 1.9971 2.5134 +v -4.7309 1.9672 2.4575 +v -4.7103 2.0033 2.4731 +v -4.4655 1.8864 2.3823 +v -4.4331 1.9129 2.4331 +v -4.5055 1.8594 2.3301 +v -4.7496 1.9149 2.3401 +v -4.7909 1.9032 2.2808 +v -4.7733 1.9223 2.3042 +v -4.5674 1.7784 2.2282 +v -4.5341 1.8203 2.2743 +v -4.5993 1.7412 2.1754 +v -4.7699 1.8662 2.1405 +v -4.7783 1.8249 2.0921 +v -4.7437 1.7500 2.0529 +v -4.7721 1.8590 2.1082 +v -4.6912 1.7009 2.0707 +v -4.6334 1.7082 2.1124 +v -4.5048 2.1172 2.6595 +v -4.7581 1.8216 2.0594 +v -4.5721 1.7584 2.1341 +v -4.4034 2.1374 2.6161 +v -4.5630 2.1237 2.6035 +v -4.3632 2.0459 2.5928 +v -4.3556 2.0199 2.5375 +v -4.3714 1.9800 2.4656 +v -4.6944 2.0347 2.4394 +v -4.4536 1.9233 2.3502 +v -4.4110 1.9499 2.4057 +v -4.4899 1.8992 2.2957 +v -4.5157 1.8647 2.2405 +v -4.6093 1.8329 1.9141 +v -3.9974 2.3365 2.3152 +v -4.0053 2.2448 2.2938 +v -4.7152 1.9437 2.3530 +v -4.5959 2.0546 2.5765 +v -4.6050 2.2027 2.2487 +v -4.4649 2.1644 2.5985 +v -4.3137 2.0573 2.4993 +v -4.5456 1.8082 1.9379 +v -4.2893 2.2203 2.5065 +v -4.3380 2.0365 2.4255 +v -4.4278 1.9798 2.3128 +v -4.3858 2.0059 2.3626 +v -4.4685 1.9492 2.2640 +v -4.5152 1.8644 2.1499 +v -4.4970 1.9150 2.2108 +v -4.5387 1.8008 2.0814 +v -4.7334 1.9341 2.1175 +v -4.7346 1.8455 2.0269 +v -4.6594 1.7631 1.9938 +v -4.6773 1.7264 2.0428 +v -4.7404 1.9068 2.0609 +v -4.0320 2.1670 2.3049 +v -4.1009 2.1300 2.3403 +v -4.7252 1.8913 2.3982 +v -4.4269 2.3132 2.3819 +v -4.6953 1.8267 1.9860 +v -4.6497 2.1271 2.3408 +v -4.5543 2.1850 2.4382 +v -4.7135 2.0022 2.1246 +v -4.0144 2.3465 2.2137 +v -4.0350 2.2370 2.1949 +v -4.0645 2.1608 2.2152 +v -4.1445 2.1158 2.2728 +v -4.2526 2.0825 2.3709 +v -4.4968 2.2202 2.4907 +v -4.7139 1.9721 2.0746 +v -4.7122 1.8815 1.9928 +v -4.7219 1.7897 2.0216 +v -4.7208 1.9393 2.0263 +v -4.1752 2.1186 2.3960 +v -4.2342 2.1170 2.4471 +v -4.7691 1.9123 2.2243 +v -4.6639 2.0808 2.2904 +v -4.6045 2.1531 2.3905 +v -4.7140 2.0350 2.1792 +v -4.0961 2.4293 2.2748 +v -4.2413 2.3557 2.4121 +v -4.6927 2.0152 2.0276 +v -4.6993 1.9739 1.9839 +v -4.5439 1.8138 2.1806 +v -4.7181 1.9698 2.4119 +v -4.4028 2.4315 2.1503 +v -4.6840 2.0497 2.2347 +v -4.7037 1.9903 2.3001 +v -4.7341 1.9895 2.2403 +v -4.5988 2.2114 1.9160 +v -4.5443 2.3302 2.0233 +v -4.4640 2.3959 2.1080 +v -4.5876 2.2541 1.9492 +v -4.5676 2.2942 1.9854 +v -4.3142 2.4673 2.1855 +v -4.6054 2.1711 1.8851 +v -4.4729 2.0197 1.7447 +v -4.4278 1.9293 1.8459 +v -4.6070 2.0985 1.8333 +v -4.1951 2.3427 2.4364 +v -4.7308 1.9211 2.4356 +v -4.5122 2.3638 2.0641 +v -4.6534 2.1245 2.1575 +v -4.4581 1.9487 1.7868 +v -4.6518 1.8783 1.9232 +v -4.6252 2.0809 2.4586 +v -4.6859 2.0122 2.3644 +v -4.7405 1.9580 2.1780 +v -4.6808 2.0970 2.1117 +v -4.5551 2.2311 2.2934 +v -4.6294 2.1608 2.2031 +v -4.5841 2.1118 2.5068 +v -4.6798 2.0593 2.4159 +v -4.5422 2.1598 2.5648 +v -4.6858 2.0555 2.0686 +v -4.5012 2.2692 2.3402 +v -4.6392 2.0213 2.5161 +v -4.7907 1.8545 2.2526 +v -4.4633 2.0315 2.7688 +v -4.5419 2.0376 2.7590 +v -4.5906 1.9833 2.6977 +v -4.5701 1.9204 2.6615 +v -4.5399 1.9068 2.6522 +v -4.4336 2.0131 2.7588 +v -4.5762 2.0198 2.7337 +v -4.4393 1.9227 2.6818 +v -4.4158 1.9545 2.7088 +v -4.4790 1.9121 2.6572 +v -4.5019 2.0421 2.7663 +v -4.5878 1.9507 2.6775 +v -4.4166 1.9910 2.7381 +v -4.5082 1.9027 2.6480 +v -4.5595 1.7666 2.5214 +v -4.7316 1.8883 2.5793 +v -4.5774 1.8394 2.6152 +v -4.6689 1.7614 2.4890 +v -4.7304 1.8145 2.5215 +v -4.6363 1.8780 2.6293 +v -4.6030 1.7532 2.4902 +v -4.5446 1.7952 2.5542 +v -4.7941 1.6682 2.1124 +v -4.8273 1.7297 2.1433 +v -4.6380 1.7567 2.4881 +v -4.5580 1.8150 2.5889 +v -4.6772 1.7315 2.4367 +v -4.7332 1.6872 2.3085 +v -4.7537 1.7022 2.2984 +v -4.6860 1.7467 2.4541 +v -4.7099 1.7707 2.4586 +v -4.7817 1.8029 2.4292 +v -4.6646 1.7093 2.4151 +v -4.7058 1.6805 2.3222 +v -4.7457 1.7931 2.4506 +v -4.8154 1.7648 2.3216 +v -4.8160 1.7616 2.1897 +v -4.7666 1.7264 2.2471 +v -4.8153 1.8043 2.3939 +v -4.6693 1.6867 2.3665 +v -4.8280 1.7915 2.3573 +v -4.7827 1.7267 2.2982 +v -4.7370 1.6333 2.1255 +v -4.7187 1.6899 2.2267 +v -4.7089 1.6525 2.1782 +v -4.8262 1.7494 2.1665 +v -4.8180 1.7021 2.1244 +v -4.7924 1.7579 2.2232 +v -4.7054 1.7841 2.5021 +v -4.7519 1.8581 2.5468 +v -4.6818 1.8880 2.6125 +v -4.5992 1.8578 2.6304 +v -4.7659 1.6429 2.1130 +v -4.7400 1.7020 2.2517 +v -4.7176 1.6377 2.1515 +v -4.7079 1.6716 2.2041 +v -3.0903 4.0281 0.3437 +v -2.9598 3.9399 0.5525 +v -2.8646 3.8635 0.5727 +v -2.6865 3.6914 0.4766 +v -2.6108 3.6413 0.3576 +v -2.5367 3.6164 0.2226 +v -3.0445 4.0031 0.4665 +v -2.9762 3.8589 -0.1544 +v -3.0317 3.9211 -0.0650 +v -3.0869 3.9744 0.0634 +v -3.1021 4.0090 0.2078 +v -2.9100 3.8045 -0.1981 +v -2.8368 3.7624 -0.2199 +v -2.5482 3.6372 -0.1001 +v -2.5146 3.6188 -0.0302 +v -2.4981 3.6023 0.0753 +v -2.7443 3.7259 -0.2231 +v -3.1707 3.9361 0.3663 +v -3.0363 3.8576 0.5577 +v -2.9436 3.7792 0.5747 +v -2.7599 3.6069 0.4664 +v -2.6788 3.5548 0.3556 +v -2.6104 3.5239 0.2268 +v -3.1204 3.9151 0.4805 +v -3.0963 3.7429 -0.1204 +v -3.1454 3.8080 -0.0378 +v -3.1907 3.8703 0.0895 +v -3.1907 3.9129 0.2308 +v -3.0387 3.6867 -0.1622 +v -2.9752 3.6389 -0.1909 +v -2.6615 3.5447 -0.1011 +v -2.6146 3.5271 -0.0300 +v -2.5882 3.5123 0.0776 +v -2.8861 3.6053 -0.1892 +v -3.2346 3.8694 0.3931 +v -3.0924 3.7987 0.5659 +v -3.0038 3.7160 0.5793 +v -2.8156 3.5459 0.4632 +v -2.7300 3.4949 0.3649 +v -2.6693 3.4619 0.2371 +v -3.1784 3.8521 0.4967 +v -3.1858 3.6535 -0.0825 +v -3.2275 3.7248 -0.0021 +v -3.2650 3.7950 0.1204 +v -3.2602 3.8420 0.2597 +v -3.1350 3.5937 -0.1301 +v -3.0754 3.5441 -0.1675 +v -2.7511 3.4694 -0.0959 +v -2.6966 3.4581 -0.0231 +v -2.6608 3.4504 0.0878 +v -2.9846 3.5150 -0.1585 +v -3.2937 3.8123 0.4265 +v -3.1455 3.7444 0.5788 +v -3.0573 3.6646 0.5885 +v -2.8681 3.4929 0.4713 +v -2.7809 3.4370 0.3778 +v -2.7295 3.4004 0.2542 +v -3.2318 3.7979 0.5211 +v -3.2640 3.5765 -0.0352 +v -3.3005 3.6521 0.0434 +v -3.3266 3.7303 0.1568 +v -3.3232 3.7824 0.2955 +v -3.2144 3.5152 -0.0886 +v -3.1530 3.4653 -0.1395 +v -2.8364 3.3977 -0.0745 +v -2.7807 3.3884 0.0006 +v -2.7368 3.3883 0.1083 +v -3.0700 3.4338 -0.1298 +v -3.3511 3.7606 0.4604 +v -3.2005 3.6997 0.6086 +v -3.1084 3.6240 0.6091 +v -2.9206 3.4397 0.4959 +v -2.8468 3.3662 0.4002 +v -2.8076 3.3210 0.2828 +v -3.2888 3.7456 0.5537 +v -3.3438 3.5008 0.0334 +v -3.3775 3.5802 0.1048 +v -3.3930 3.6629 0.2071 +v -3.3842 3.7267 0.3346 +v -3.2981 3.4326 -0.0185 +v -3.2411 3.3745 -0.0696 +v -2.9470 3.2988 -0.0012 +v -2.8805 3.2999 0.0579 +v -2.8282 3.3079 0.1478 +v -3.1658 3.3440 -0.0578 +v -3.4334 3.6926 0.5167 +v -3.2656 3.6567 0.6512 +v -3.1586 3.5983 0.6565 +v -2.9628 3.3892 0.5528 +v -2.9084 3.2916 0.4568 +v -2.8909 3.2274 0.3418 +v -3.3621 3.6866 0.6026 +v -3.4504 3.4012 0.1319 +v -3.4877 3.4871 0.1955 +v -3.4985 3.5724 0.2980 +v -3.4773 3.6478 0.4113 +v -3.4023 3.3295 0.0846 +v -3.3405 3.2700 0.0485 +v -3.0491 3.2045 0.1241 +v -2.9806 3.2064 0.1652 +v -2.9256 3.2113 0.2374 +v -3.2661 3.2479 0.0577 +v -3.5343 3.5967 0.6027 +v -3.3401 3.6101 0.7241 +v -3.2324 3.5541 0.7432 +v -3.0208 3.3173 0.6663 +v -2.9737 3.2123 0.5762 +v -2.9677 3.1301 0.4742 +v -3.4482 3.6092 0.6797 +v -3.5799 3.2706 0.2745 +v -3.6180 3.3587 0.3286 +v -3.6247 3.4523 0.4205 +v -3.5945 3.5377 0.5163 +v -3.5286 3.2017 0.2304 +v -3.4597 3.1522 0.2103 +v -3.1495 3.0798 0.2841 +v -3.0808 3.0869 0.3320 +v -3.0214 3.1015 0.3933 +v -3.3841 3.1228 0.2026 +v -3.6621 3.4499 0.7587 +v -3.4608 3.4703 0.8676 +v -3.3570 3.4144 0.8876 +v -3.1564 3.1721 0.8447 +v -3.1176 3.0690 0.7761 +v -3.1154 2.9937 0.6959 +v -3.5693 3.4744 0.8229 +v -3.7351 3.1184 0.4604 +v -3.7691 3.1991 0.5183 +v -3.7603 3.3009 0.6034 +v -3.7272 3.3854 0.6869 +v -3.6808 3.0508 0.4207 +v -3.5963 3.0102 0.4114 +v -3.2906 2.9324 0.4948 +v -3.2260 2.9387 0.5423 +v -3.1655 2.9621 0.6178 +v -3.5206 2.9750 0.4129 +v -3.8200 3.2555 0.9643 +v -3.6256 3.2704 1.0456 +v -3.5319 3.2199 1.0586 +v -3.3490 3.0264 1.0392 +v -3.3130 2.9358 0.9860 +v -3.3156 2.8687 0.9137 +v -3.7246 3.2809 1.0146 +v -3.8879 2.9677 0.6943 +v -3.9165 3.0461 0.7539 +v -3.9146 3.1317 0.8251 +v -3.8846 3.2014 0.9002 +v -3.8445 2.8948 0.6449 +v -3.7529 2.8597 0.6425 +v -3.4560 2.7885 0.7309 +v -3.3966 2.8015 0.7772 +v -3.3486 2.8299 0.8459 +v -3.6774 2.8309 0.6508 +v -3.9721 3.0653 1.1956 +v -3.7950 3.0751 1.2697 +v -3.7083 3.0334 1.2724 +v -3.5394 2.8800 1.2479 +v -3.5096 2.8069 1.2030 +v -3.5141 2.7457 1.1399 +v -3.8898 3.0780 1.2402 +v -4.0504 2.8259 0.9305 +v -4.0726 2.8961 0.9953 +v -4.0698 2.9691 1.0612 +v -4.0336 3.0276 1.1347 +v -4.0120 2.7658 0.8968 +v -3.9514 2.7173 0.8804 +v -3.6439 2.6401 0.9737 +v -3.5852 2.6696 1.0224 +v -3.5341 2.6979 1.0835 +v -3.8669 2.6845 0.8942 +v -4.0805 2.9118 1.3632 +v -3.9285 2.9260 1.4359 +v -3.8551 2.8909 1.4538 +v -3.7157 2.7649 1.4284 +v -3.6878 2.7001 1.3879 +v -3.6889 2.6420 1.3345 +v -4.0084 2.9297 1.4069 +v -4.1760 2.7317 1.1551 +v -4.1835 2.7855 1.2006 +v -4.1724 2.8358 1.2524 +v -4.1382 2.8774 1.3088 +v -4.1522 2.6759 1.1234 +v -4.1174 2.6163 1.1142 +v -3.8189 2.5248 1.1800 +v -3.7586 2.5528 1.2240 +v -3.7117 2.5895 1.2764 +v -4.0465 2.5700 1.1152 +v -4.1646 2.7851 1.5119 +v -4.0383 2.8050 1.5811 +v -3.9767 2.7816 1.6078 +v -3.8604 2.6731 1.5855 +v -3.8384 2.6159 1.5468 +v -3.8370 2.5597 1.5001 +v -4.1041 2.8042 1.5517 +v -4.2745 2.6456 1.3318 +v -4.2690 2.6889 1.3716 +v -4.2486 2.7274 1.4181 +v -4.2133 2.7586 1.4665 +v -4.2615 2.5967 1.3014 +v -4.2263 2.5419 1.2826 +v -3.9557 2.4296 1.3440 +v -3.8991 2.4592 1.3902 +v -3.8562 2.5025 1.4436 +v -4.1788 2.4856 1.2839 +v -4.2261 2.6903 1.6275 +v -4.1231 2.7093 1.6946 +v -4.0647 2.6936 1.7232 +v -3.9740 2.6092 1.6997 +v -3.9581 2.5615 1.6641 +v -3.9572 2.5083 1.6252 +v -4.1772 2.7062 1.6643 +v -4.3418 2.5710 1.4632 +v -4.3291 2.6089 1.4995 +v -4.3046 2.6423 1.5421 +v -4.2710 2.6668 1.5858 +v -4.3368 2.5264 1.4341 +v -4.3088 2.4748 1.4135 +v -4.0480 2.3562 1.4706 +v -3.9992 2.3932 1.5189 +v -3.9682 2.4470 1.5738 +v -4.2671 2.4215 1.4091 +v -4.2868 2.6175 1.7207 +v -4.1933 2.6416 1.7878 +v -4.1451 2.6286 1.8127 +v -4.0556 2.5532 1.7780 +v -4.0365 2.5112 1.7459 +v -4.0320 2.4620 1.7118 +v -4.2428 2.6359 1.7572 +v -4.3906 2.4938 1.5647 +v -4.3790 2.5307 1.5984 +v -4.3549 2.5664 1.6398 +v -4.3223 2.5953 1.6831 +v -4.3874 2.4542 1.5371 +v -4.3673 2.4093 1.5137 +v -4.1108 2.3087 1.5597 +v -4.0643 2.3498 1.6098 +v -4.0388 2.4051 1.6649 +v -4.3370 2.3636 1.5042 +v -4.3813 2.5208 1.8528 +v -4.2847 2.5572 1.9221 +v -4.2230 2.5553 1.9421 +v -4.1289 2.4806 1.8917 +v -4.1068 2.4442 1.8549 +v -4.0973 2.4066 1.8146 +v -4.3393 2.5445 1.8896 +v -4.4641 2.3774 1.7081 +v -4.4538 2.4161 1.7415 +v -4.4358 2.4553 1.7790 +v -4.4119 2.4908 1.8166 +v -4.4639 2.3395 1.6775 +v -4.4497 2.2988 1.6431 +v -4.1710 2.2585 1.6557 +v -4.1254 2.3056 1.7111 +v -4.1016 2.3601 1.7685 +v -4.4237 2.2672 1.6127 +v -4.3561 2.4865 2.0651 +v -4.1932 2.5011 2.0905 +v -4.0586 2.3344 2.0871 +v -4.2790 2.5026 2.0899 +v -4.5186 2.3600 1.9080 +v -4.4947 2.3961 1.9451 +v -4.4624 2.4288 1.9849 +v -4.4167 2.4593 2.0270 +v -4.5368 2.3204 1.8720 +v -4.5493 2.2434 1.7970 +v -4.6171 1.9690 2.5635 +v -4.5916 1.9976 2.6090 +v -4.7458 1.9625 2.2777 +v -4.7777 1.8361 2.2004 +v -4.7522 1.8969 2.1526 +v -4.7540 1.8899 2.0922 +v -4.5476 2.2789 1.8369 +v -4.0511 2.0873 2.5450 +v -3.9412 2.1351 2.5567 +v -3.9425 2.2079 2.6019 +v -3.9319 2.1700 2.5767 +v -4.1111 2.1659 2.6237 +v -4.0501 2.2209 2.6338 +v -3.9871 2.2306 2.6268 +v -4.1142 2.1305 2.5957 +v -3.9800 2.1008 2.5367 +v -4.0959 2.1040 2.5751 +v -4.0604 2.0978 2.5190 +v -3.9512 2.1495 2.5232 +v -3.9560 2.2225 2.5624 +v -3.9449 2.1845 2.5401 +v -4.1274 2.1772 2.5891 +v -4.0703 2.2349 2.5991 +v -4.0026 2.2489 2.5883 +v -4.1287 2.1424 2.5608 +v -3.9844 2.1142 2.5078 +v -4.1083 2.1161 2.5445 +v -4.0695 2.1047 2.5011 +v -3.9566 2.1603 2.4939 +v -3.9655 2.2345 2.5230 +v -3.9537 2.1973 2.5059 +v -4.1438 2.1861 2.5608 +v -4.0867 2.2512 2.5690 +v -4.0138 2.2703 2.5493 +v -4.1438 2.1519 2.5354 +v -3.9902 2.1223 2.4884 +v -4.1202 2.1246 2.5220 +v -4.0783 2.1103 2.4829 +v -3.9670 2.1690 2.4666 +v -3.9761 2.2531 2.4862 +v -3.9621 2.2107 2.4738 +v -4.1625 2.1933 2.5367 +v -4.1051 2.2678 2.5408 +v -4.0243 2.2944 2.5092 +v -4.1602 2.1576 2.5138 +v -4.0012 2.1287 2.4658 +v -4.1304 2.1296 2.5008 +v -4.0914 2.1171 2.4609 +v -3.9810 2.1748 2.4321 +v -3.9851 2.2773 2.4418 +v -3.9703 2.2237 2.4307 +v -4.1878 2.2082 2.5172 +v -4.1282 2.2864 2.5110 +v -4.0441 2.3232 2.4730 +v -4.1820 2.1603 2.4938 +v -4.0071 2.1352 2.4468 +v -4.1488 2.1350 2.4778 +v -4.1328 2.1263 2.4300 +v -4.0061 2.1723 2.3755 +v -3.9937 2.3114 2.3856 +v -3.9883 2.2369 2.3701 +v -4.2364 2.2258 2.4995 +v -4.1479 2.3138 2.4776 +v -4.0438 2.3512 2.4204 +v -4.2250 2.1673 2.4895 +v -4.0650 2.1300 2.3963 +v -4.1842 2.1377 2.4586 +v -4.0745 2.2299 2.1001 +v -4.1009 2.1657 2.1351 +v -4.1824 2.1068 2.2038 +v -4.3014 2.0584 2.2947 +v -4.2284 2.1007 2.1434 +v -4.3527 2.0482 2.2380 +v -4.2761 2.0904 2.0908 +v -4.4001 2.0363 2.1888 +v -4.1528 2.2622 1.9089 +v -4.3247 2.0745 2.0405 +v -4.4295 1.9999 2.1368 +v -4.1890 2.2201 1.8515 +v -4.3561 2.0106 1.9873 +v -4.4508 1.9443 2.0761 +v -4.2336 2.1661 1.7941 +v -4.4116 1.9315 1.9358 +v -4.4814 1.8720 2.0080 +v -4.3001 2.0875 1.7491 +v -4.6170 1.7186 2.0814 +v -4.6477 2.1302 1.9978 +v -4.6137 2.2107 2.0723 +v -4.6035 1.9256 1.8622 +v -4.6609 2.0278 1.9174 +v -4.5084 2.3132 2.1991 +v -4.5598 2.2833 2.1543 +v -4.6368 2.1760 2.0335 +v -4.2414 2.1248 1.8357 +v -4.5014 1.8534 1.8896 +v -4.5900 2.2479 2.1113 +v -4.3628 2.4013 2.2809 +v -4.6589 2.0815 1.9684 +v -4.0626 2.3910 2.3565 +v -4.4502 2.3562 2.2437 +v -4.5524 1.8762 1.8659 +v -4.5991 1.7478 2.0253 +v -4.2035 2.4787 2.1869 +v -4.1162 2.2806 1.9724 +v -4.2941 2.1700 1.6886 +v -4.2196 2.2172 1.7357 +v -4.4082 2.1330 1.6729 +v -4.1743 2.2604 1.7941 +v -4.1376 2.3455 1.9089 +v -4.1481 2.3081 1.8525 +v -4.1420 2.4509 2.0616 +v -0.4759 5.5657 0.5827 +v -0.3610 5.6931 0.5912 +v -0.3011 5.8325 0.6140 +v -0.2502 5.9843 0.6142 +v -0.2289 6.1198 0.6447 +v -0.2498 6.2246 0.7236 +v -0.3036 6.3007 0.8416 +v -0.3488 6.3212 0.9364 +v -0.3770 6.3338 1.0023 +v -0.4025 6.3443 1.0562 +v -0.4109 6.3639 1.1033 +v -0.4049 6.3886 1.1450 +v -0.3194 6.5220 1.3701 +v -0.2894 6.5526 1.3961 +v -0.2795 6.5647 1.4033 +v -0.2562 6.5891 1.4165 +v -0.2496 6.5956 1.4174 +v -0.2454 6.6000 1.4194 +v -0.2415 6.6034 1.4210 +v -0.2388 6.6060 1.4176 +v -0.2367 6.6081 1.4095 +v -0.2377 6.6099 1.3942 +v -0.2445 6.6105 1.3726 +v -0.2427 6.6035 1.3585 +v -0.2448 6.5925 1.3487 +v -0.2472 6.5860 1.3389 +v -0.2552 6.5757 1.3164 +v -0.2784 6.5716 1.2669 +v -0.2994 6.5740 1.1638 +v -0.3297 6.5818 1.0091 +v -0.3158 6.5835 0.8143 +v -0.2617 6.5846 0.5995 +v -0.1892 6.5904 0.5667 +v -0.1975 6.6590 0.5647 +v -0.2890 6.7401 0.6410 +v -0.3234 6.8108 0.8164 +v -0.3235 6.8444 1.0174 +v -0.2810 6.8139 1.1934 +v -0.2594 6.7710 1.2986 +v -0.2366 6.7272 1.3501 +v -0.2286 6.6922 1.3681 +v -0.2274 6.6633 1.3750 +v -0.2282 6.6356 1.3793 +v -0.2304 6.6217 1.3957 +v -0.2315 6.6155 1.4109 +v -0.2351 6.6120 1.4214 +v -0.2399 6.6112 1.4263 +v -0.2443 6.6116 1.4273 +v -0.2490 6.6119 1.4262 +v -0.2575 6.6136 1.4252 +v -0.2652 6.6148 1.4220 +v -0.2863 6.6273 1.4142 +v -0.2997 6.6336 1.4075 +v -0.6472 7.2820 1.0577 +v -0.6302 7.3541 1.0902 +v -0.6054 7.4240 1.1442 +v -0.5714 7.4875 1.2133 +v -0.5148 7.5462 1.2847 +v -0.4384 7.5899 1.3549 +v -0.3462 7.6214 1.4155 +v -0.2505 7.6438 1.4644 +v -0.1546 7.6553 1.5029 +v -0.0610 7.6578 1.5214 +v 0.0000 7.6611 1.5263 +v -0.6501 5.4769 0.6253 +v -0.9280 5.4778 0.7510 +v -1.1852 5.4520 0.8110 +v -1.4188 5.4026 0.8138 +v -1.6021 5.2992 0.7867 +v -1.7392 5.1679 0.7287 +v -1.8258 5.0542 0.6722 +v -1.8772 4.9573 0.6210 +v -1.9200 4.8828 0.5824 +v -1.9623 4.8169 0.5602 +v -2.0324 4.7210 0.5595 +v -2.1481 4.5786 0.5538 +v -2.2944 4.3989 0.5531 +v -2.4296 4.2052 0.5544 +v -2.5785 4.0159 0.5719 +v -2.6782 3.8848 0.5615 +v -2.7726 3.7748 0.5500 +v -3.9116 2.7338 1.6075 +v -4.0131 2.6564 1.7236 +v -4.0955 2.5936 1.8044 +v -4.1675 2.5211 1.9245 +v -4.1171 2.3842 1.9908 +v -3.7805 2.8382 1.4498 +v -1.1604 4.8510 -0.5279 +v -0.9682 4.8252 -0.5861 +v -0.7655 4.8190 -0.5977 +v -0.5545 4.8009 -0.4955 +v -0.3760 4.7876 -0.5217 +v -0.1894 4.7746 -0.5068 +v 0.0000 4.7830 -0.4785 +v -1.4576 4.8268 -0.4179 +v -1.6522 4.7132 -0.3381 +v -1.7339 4.6515 -0.3079 +v -1.8228 4.5780 -0.2772 +v -1.9354 4.4453 -0.2762 +v -1.5609 4.7807 -0.3741 +v -1.3267 4.8476 -0.4706 +v -2.0814 4.2726 -0.2522 +v -2.2309 4.0891 -0.2343 +v -2.3884 3.9389 -0.2205 +v -2.5233 3.8056 -0.1998 +v -2.6534 3.6967 -0.1900 +v -2.7783 3.5911 -0.1843 +v -2.8846 3.5046 -0.1533 +v -2.9813 3.4178 -0.1214 +v -3.0847 3.3269 -0.0514 +v -3.1899 3.2279 0.0628 +v -3.3121 3.0964 0.2134 +v -3.4452 2.9438 0.4263 +v -3.6041 2.7964 0.6660 +v -3.7887 2.6452 0.9147 +v -3.9678 2.5336 1.1295 +v -4.1025 2.4453 1.2932 +v -4.1994 2.3730 1.4194 +v -4.2716 2.3179 1.5104 +v -4.3425 2.2309 1.6045 +v -4.5356 2.1820 1.7478 +v -4.4576 1.8818 2.4691 +v -4.5909 1.7615 2.2642 +v -4.5576 1.7834 2.3082 +v -4.4029 1.9643 2.5887 +v -4.4930 1.8471 2.4148 +v -4.5236 1.8260 2.3666 +v -4.6487 1.7058 2.1592 +v -4.6796 1.6861 2.1164 +v -4.3929 2.0691 2.6573 +v -4.4290 1.9251 2.5337 +v -4.6240 1.7357 2.2186 +v -4.2752 2.1510 2.5171 +v -4.3422 2.2025 2.5378 +v -4.3160 2.1256 2.5642 +v -4.2839 2.0919 2.4750 +v -4.3293 2.3416 2.4002 +v -4.4162 2.2268 2.5273 +v -4.2402 2.4415 2.2917 +v -4.1166 2.4454 2.1647 +v -4.3167 2.0351 1.7968 +v -4.3451 1.9898 1.8626 +v -4.2771 2.0674 1.8974 +v -4.1956 2.1882 1.8912 +v -4.2326 2.1350 1.9463 +v -4.1595 2.2160 1.9459 +v -4.1906 2.1597 1.9994 +v -4.1147 2.2253 2.0087 +v -4.1430 2.1691 2.0610 +v -4.3492 2.0887 2.6078 +v -1.1313 4.6825 -0.5223 +v -0.9248 4.6727 -0.5540 +v -0.7247 4.6808 -0.5247 +v -0.5397 4.6750 -0.4943 +v -0.3685 4.6679 -0.5080 +v -0.1936 4.6654 -0.4941 +v 0.0000 4.6726 -0.4711 +v -1.4279 4.6732 -0.3794 +v -1.6067 4.6290 -0.2950 +v -1.6862 4.5839 -0.2698 +v -1.7770 4.5144 -0.2492 +v -1.8804 4.4118 -0.2272 +v -1.5250 4.6616 -0.3302 +v -2.0258 4.2562 -0.1957 +v -2.1768 4.0648 -0.1827 +v -2.3353 3.9127 -0.1707 +v -2.4623 3.7745 -0.1589 +v -4.5996 2.0533 1.7952 +v -2.5877 3.6630 -0.1478 +v -2.7094 3.5659 -0.1528 +v -2.8128 3.4863 -0.1368 +v -2.9062 3.4047 -0.1048 +v -3.0171 3.3069 -0.0286 +v -3.1181 3.2136 0.0880 +v -3.2260 3.0850 0.2449 +v -3.3638 2.9341 0.4522 +v -3.5259 2.7845 0.6880 +v -3.7187 2.6311 0.9441 +v -3.8896 2.5170 1.1515 +v -4.0227 2.4232 1.3127 +v -4.1143 2.3463 1.4372 +v -4.1801 2.2934 1.5256 +v -4.2469 2.2270 1.6148 +v -4.6467 1.9877 1.8794 +v -1.2956 4.6823 -0.4514 +v -4.5097 2.1476 1.6974 +v -4.6865 1.9259 1.9475 +v -3.4429 3.1427 1.0603 +v -3.6285 2.9833 1.2677 +v -3.2553 3.3065 0.8775 +v -3.1140 3.4451 0.7177 +v -3.0509 3.4976 0.6173 +v -3.0088 3.5335 0.5630 +v -2.9625 3.5748 0.5414 +v -2.9108 3.6246 0.5387 +v -2.8512 3.6882 0.5438 +v -4.3700 2.5361 1.7567 +v -4.3379 2.5634 1.7934 +v -4.4265 2.3915 1.6152 +v -4.4276 2.4280 1.6439 +v -4.0809 2.4704 1.8063 +v -4.0992 2.5109 1.8382 +v -4.4122 2.3521 1.5861 +v -4.3907 2.3178 1.5641 +v -4.0721 2.4277 1.7736 +v -4.1448 2.2756 1.6148 +v -4.2972 2.5828 1.8282 +v -4.2458 2.5902 1.8582 +v -4.0996 2.3218 1.6691 +v -4.3972 2.5028 1.7160 +v -4.1886 2.5785 1.8773 +v -4.0762 2.3783 1.7274 +v -4.4173 2.4650 1.6768 +v -4.1390 2.5512 1.8653 +v -4.3149 2.2761 1.5624 +v -4.2162 2.2499 1.5769 +v -4.3732 2.1783 1.6369 +v -4.4685 2.2064 1.6549 +v -4.4911 2.2420 1.6951 +v -4.5047 2.2894 1.7362 +v -4.5041 2.3310 1.7700 +v -4.4933 2.3726 1.8040 +v -4.4754 2.4125 1.8404 +v -4.4520 2.4488 1.8770 +v -4.4208 2.4804 1.9147 +v -4.3771 2.5079 1.9545 +v -4.3197 2.5269 1.9894 +v -4.2527 2.5284 2.0081 +v -4.2730 2.2053 1.6486 +v -4.1952 2.2406 1.6937 +v -4.1514 2.2853 1.7521 +v -4.1265 2.3357 1.8095 +v -4.1217 2.3803 1.8566 +v -4.1328 2.4115 1.9146 +v -4.1539 2.4581 1.9661 +v -4.1885 2.5024 1.9980 +v -1.2784 4.0300 0.7541 +v -1.3787 3.9397 0.3079 +v -1.3373 3.9452 0.5505 +v -0.9628 4.0638 -0.3500 +v -0.7934 4.0786 -0.3792 +v -0.6388 4.0827 -0.3960 +v -0.4953 4.0815 -0.4151 +v -0.3542 4.0800 -0.4304 +v -0.1991 4.0747 -0.4069 +v 0.0000 4.0596 -0.3773 +v -1.2520 4.0288 -0.1590 +v -1.3353 3.9962 -0.0437 +v -1.3770 3.9648 0.1009 +v -1.1213 4.0460 -0.2584 +v -1.2682 3.8632 0.7823 +v -1.3306 3.7365 0.3550 +v -1.3097 3.7615 0.5797 +v -0.9053 3.8786 -0.2665 +v -0.7551 3.8951 -0.3212 +v -0.6092 3.8964 -0.3492 +v -0.4793 3.8937 -0.3885 +v -0.3409 3.8946 -0.3989 +v -0.1753 3.8960 -0.3613 +v 0.0000 3.8817 -0.3363 +v -1.1893 3.8336 -0.0981 +v -1.2633 3.7963 0.0137 +v -1.3089 3.7649 0.1615 +v -1.0660 3.8523 -0.1927 +v -1.2425 3.6467 0.8156 +v -1.2759 3.5224 0.4098 +v -1.2788 3.5435 0.6186 +v -0.8546 3.6544 -0.2105 +v -0.7153 3.6758 -0.2639 +v -0.5825 3.6800 -0.3093 +v -0.4596 3.6818 -0.3488 +v -0.3212 3.6958 -0.3502 +v -0.1696 3.6925 -0.3226 +v 0.0000 3.6687 -0.2769 +v -1.1234 3.5984 -0.0449 +v -1.2039 3.5714 0.0630 +v -1.2476 3.5466 0.2195 +v -1.0021 3.6218 -0.1357 +v -1.2130 3.3966 0.8538 +v -1.2335 3.2999 0.4779 +v -1.2471 3.3250 0.6652 +v -0.7959 3.4004 -0.1692 +v -0.6681 3.4220 -0.2177 +v -0.5480 3.4335 -0.2569 +v -0.4325 3.4419 -0.2873 +v -0.2946 3.4452 -0.2776 +v -0.1560 3.4588 -0.2771 +v 0.0000 3.4563 -0.2527 +v -1.0540 3.3506 0.0158 +v -1.1241 3.3293 0.1702 +v -1.1844 3.3050 0.3019 +v -0.9322 3.3716 -0.0888 +v -1.2012 3.1530 0.9005 +v -1.1707 3.0669 0.5293 +v -1.2246 3.0931 0.7184 +v -0.7501 3.1656 -0.1332 +v -0.6305 3.1779 -0.1742 +v -0.5197 3.1878 -0.2051 +v -0.4081 3.1990 -0.2222 +v -0.2899 3.2002 -0.2345 +v -0.1625 3.1917 -0.2197 +v 0.0000 3.1814 -0.2148 +v -0.9870 3.1119 0.1014 +v -1.0696 3.0912 0.2290 +v -1.1344 3.0728 0.3663 +v -0.8784 3.1409 -0.0507 +v -1.1923 2.9054 0.9153 +v -1.1705 2.8545 0.5471 +v -1.2034 2.8691 0.7355 +v -0.7361 2.9401 -0.0837 +v -0.6208 2.9595 -0.1425 +v -0.5115 2.9716 -0.1830 +v -0.3964 2.9724 -0.1938 +v -0.2792 2.9692 -0.1921 +v -0.1579 2.9566 -0.1885 +v 0.0000 2.9614 -0.1692 +v -0.9521 2.8887 0.1412 +v -1.0473 2.8672 0.2582 +v -1.1107 2.8495 0.3949 +v -0.8469 2.9115 0.0218 +v -1.2070 2.6703 0.8972 +v -1.1871 2.6542 0.5241 +v -1.2077 2.6576 0.7160 +v -0.7295 2.7286 -0.0538 +v -0.6142 2.7518 -0.1204 +v -0.5021 2.7654 -0.1581 +v -0.3934 2.7681 -0.1799 +v -0.2813 2.7563 -0.1852 +v -0.1637 2.7513 -0.1906 +v 0.0000 2.7426 -0.1792 +v -0.9312 2.6818 0.1700 +v -1.0352 2.6632 0.2710 +v -1.1199 2.6485 0.3832 +v -0.8375 2.7066 0.0541 +v -1.2164 2.4990 0.8543 +v -1.1985 2.4865 0.4894 +v -1.2311 2.4983 0.6764 +v -0.7297 2.5459 -0.0242 +v -0.6186 2.5711 -0.1153 +v -0.5075 2.5847 -0.1646 +v -0.3999 2.5859 -0.1882 +v -0.2938 2.5733 -0.1984 +v -0.1725 2.5590 -0.1975 +v 0.0000 2.5569 -0.1935 +v -0.9632 2.5138 0.1485 +v -1.0645 2.4997 0.2423 +v -1.1518 2.4878 0.3450 +v -0.8409 2.5307 0.0632 +v -1.2634 2.2358 0.7989 +v -1.2742 2.2581 0.4356 +v -1.2946 2.2481 0.6192 +v -0.4752 2.1810 1.4061 +v -0.7520 2.4090 -0.0410 +v -0.6324 2.4310 -0.1141 +v -0.5177 2.4401 -0.1675 +v -0.4104 2.4362 -0.2025 +v -0.2923 2.4216 -0.2330 +v -0.1686 2.4023 -0.2427 +v 0.0000 2.3833 -0.2245 +v -0.1187 2.2087 1.4572 +v -1.1328 2.2645 0.1682 +v -1.2165 2.2629 0.2871 +v -0.9120 2.2740 -0.0095 +v -1.3040 2.1084 0.7860 +v -1.3152 2.1339 0.4034 +v -1.3425 2.1214 0.5969 +v -0.2823 2.1965 1.4434 +v -0.8060 2.1583 -0.1299 +v -0.6706 2.1703 -0.1857 +v -0.5426 2.1788 -0.2268 +v -0.4205 2.1820 -0.2576 +v -0.2999 2.1842 -0.2946 +v -0.1624 2.1855 -0.3041 +v 0.0000 2.1733 -0.2599 +v -1.1663 2.1382 0.1314 +v -1.2685 2.1380 0.2509 +v -0.9414 2.1459 -0.0627 +v -1.2272 4.1127 0.9289 +v -1.1887 3.9273 0.9459 +v -1.1732 3.7221 0.9663 +v -1.1199 3.2033 1.0620 +v -1.1513 3.4834 1.0222 +v 0.0000 2.2368 1.4434 +v 0.0000 3.2169 1.6111 +v 0.0000 2.6869 1.5309 +v -0.6947 3.2829 1.5009 +v -0.8987 3.2334 1.3631 +v -1.0967 2.2150 1.1297 +v -0.1318 2.6828 1.5375 +v -0.1334 3.1978 1.6204 +v -0.2948 2.6509 1.5241 +v -0.6801 3.0305 1.4715 +v -0.8740 2.9741 1.3451 +v -1.0571 2.4872 1.1603 +v -0.4798 2.6127 1.4779 +v -0.1487 3.4484 1.6002 +v -0.4783 2.8423 1.5300 +v -0.6897 2.7346 1.4577 +v -0.8740 2.6787 1.3209 +v -1.0284 2.6745 1.1899 +v -0.2988 2.9021 1.5719 +v 0.0000 3.4426 1.5959 +v -0.1350 2.9377 1.5876 +v -0.6826 2.5399 1.4003 +v -0.8898 2.4881 1.2900 +v -1.0194 2.9497 1.2128 +v 0.0000 2.9525 1.5802 +v -0.4642 3.3587 1.5828 +v -0.2938 3.1627 1.6140 +v -0.6937 2.1894 1.3394 +v -0.9179 2.1994 1.2490 +v -1.0225 3.2371 1.2133 +v -0.4747 3.1072 1.5789 +v -0.3013 3.4130 1.6008 +v -1.1191 2.9320 1.0740 +v -1.1572 2.6736 1.0594 +v -1.1964 2.5042 1.0256 +v -1.2250 2.2307 0.9798 +v -1.0366 2.2656 0.0730 +v 0.0000 2.0688 1.3967 +v -0.0995 2.0246 1.4248 +v -0.1418 1.8534 1.4160 +v -0.1186 1.6568 1.4526 +v 0.0000 1.5716 1.4268 +v 0.0000 2.0021 1.3907 +v -0.0587 1.9700 1.3937 +v -0.0895 1.8458 1.3982 +v -0.0758 1.7235 1.4059 +v 0.0000 1.6525 1.4129 +v 0.0000 1.9353 1.4097 +v -0.0347 1.9166 1.4136 +v -0.0534 1.8405 1.4046 +v -0.0453 1.7670 1.3971 +v 0.0000 1.7248 1.3970 +v 0.0000 1.8405 1.3615 +v -0.4942 2.0191 1.3835 +v -0.2899 2.0388 1.4275 +v -1.1168 2.0712 1.1177 +v -0.7026 2.0255 1.3130 +v -0.9211 2.0450 1.2277 +v -1.2556 2.0940 0.9729 +v -1.3627 1.9646 0.7744 +v -1.3877 1.9965 0.3727 +v -1.4111 1.9814 0.5765 +v -1.2449 2.0044 0.0277 +v -1.3417 1.9999 0.1906 +v -0.5093 1.8367 1.3673 +v -0.3107 1.8352 1.4078 +v -1.1430 1.9121 1.1071 +v -0.7211 1.8565 1.2972 +v -0.9388 1.8791 1.2125 +v -1.2975 1.9426 0.9658 +v -1.1765 2.3750 0.3114 +v -1.0943 2.3774 0.2070 +v -1.2367 2.3601 0.8232 +v -1.2564 2.3655 0.6463 +v -1.2364 2.3718 0.4656 +v -0.8845 2.3956 0.0278 +v -0.4186 2.3099 -0.2269 +v -0.3010 2.3027 -0.2568 +v -0.1669 2.2953 -0.2744 +v 0.0000 2.2758 -0.2413 +v -0.7797 2.2870 -0.0779 +v -0.6529 2.3001 -0.1354 +v -0.1324 2.4079 1.4841 +v -0.5329 2.3123 -0.1977 +v -1.2126 2.3622 0.9990 +v 0.0000 2.4280 1.4713 +v -0.4827 2.3786 1.4319 +v -0.2835 2.3960 1.4722 +v -0.6826 2.3604 1.3696 +v -0.9027 2.3432 1.2742 +v -1.0830 2.3516 1.1458 +v -1.0023 2.3834 0.1096 +v -1.1918 1.7262 1.0932 +v -0.3284 1.6051 1.4211 +v -0.5287 1.6143 1.3630 +v -1.4155 1.8319 0.1249 +v -1.3281 1.8364 -0.0701 +v -1.4856 1.8124 0.5575 +v -1.4734 1.8342 0.3384 +v -1.4235 1.7884 0.7578 +v -1.3516 1.7628 0.9504 +v -0.9717 1.6829 1.1978 +v -0.7429 1.6502 1.2866 +v -1.0659 2.1343 0.0386 +v -1.1241 1.9973 -0.0657 +v -1.1872 1.8273 -0.1905 +v -0.8316 2.0128 -0.2018 +v -0.6860 2.0252 -0.2613 +v -0.5441 2.0288 -0.2784 +v -0.4186 2.0339 -0.3069 +v -0.2890 2.0294 -0.3375 +v -0.1533 2.0415 -0.3383 +v 0.0000 2.0357 -0.3031 +v -0.8600 1.8334 -0.3313 +v -0.6957 1.8387 -0.3699 +v -0.5400 1.8383 -0.3759 +v -0.4054 1.8385 -0.3893 +v -0.2767 1.8424 -0.4044 +v -0.1393 1.8444 -0.3948 +v 0.0000 1.8372 -0.3976 +v -0.8821 1.6064 -0.4913 +v -0.6932 1.6040 -0.5084 +v -0.5218 1.6002 -0.5063 +v -0.3788 1.5994 -0.5078 +v -0.2525 1.5942 -0.5098 +v -0.1291 1.5782 -0.5124 +v 0.0000 1.5768 -0.5034 +v -0.9834 2.0045 -0.1454 +v -1.0273 1.8248 -0.2701 +v -1.2669 1.3839 -0.4407 +v -0.9001 1.1406 -0.7990 +v -0.6764 1.1479 -0.8160 +v -0.4810 1.1454 -0.7946 +v -0.3233 1.1381 -0.7463 +v -0.2001 1.1323 -0.7157 +v -0.1040 1.1322 -0.6971 +v 0.0000 1.1179 -0.6819 +v -1.0804 1.3762 -0.5480 +v -1.2813 1.1349 -0.5480 +v -1.0925 1.1359 -0.6973 +v -0.8925 0.8694 -0.9161 +v -0.6706 0.8768 -0.9300 +v -0.4367 0.8845 -0.8981 +v -0.2763 0.8812 -0.8381 +v -0.1559 0.8711 -0.7844 +v -0.0767 0.8687 -0.7634 +v 0.0000 0.8710 -0.7448 +v -1.2926 0.8590 -0.6511 +v -0.8862 0.5929 -0.9951 +v -0.6624 0.6004 -1.0154 +v -0.4089 0.5921 -0.9622 +v -0.2527 0.5854 -0.9169 +v -0.1325 0.5775 -0.8423 +v -0.0681 0.5706 -0.7792 +v 0.0000 0.5639 -0.7609 +v -1.1066 0.8652 -0.8260 +v -1.3059 0.5809 -0.6985 +v -0.8619 0.3482 -0.9672 +v -0.6155 0.3575 -0.9993 +v -0.3917 0.3569 -0.9664 +v -0.2385 0.3490 -0.9222 +v -0.1231 0.3422 -0.8368 +v -0.0645 0.3433 -0.7543 +v 0.0000 0.3433 -0.7361 +v -1.1056 0.5853 -0.8812 +v -1.3159 0.3334 -0.7077 +v -0.8455 0.1168 -0.9346 +v -0.5964 0.1224 -0.9501 +v -0.3802 0.1179 -0.9217 +v -0.2268 0.1024 -0.8682 +v -0.1249 0.0892 -0.7559 +v -0.0643 0.0833 -0.6754 +v 0.0000 0.0948 -0.6131 +v -1.0984 0.3369 -0.8800 +v -1.3258 0.1104 -0.6837 +v -0.8219 -0.1102 -0.8724 +v -0.5683 -0.1254 -0.8489 +v -0.3774 -0.1100 -0.8112 +v -0.2210 -0.1359 -0.7200 +v -0.1204 -0.1424 -0.6028 +v -0.0626 -0.1508 -0.4974 +v 0.0000 -0.1286 -0.4225 +v -1.0920 0.1091 -0.8408 +v -1.3482 -0.0889 -0.6353 +v -0.8200 -0.3660 -0.7394 +v -0.5509 -0.4585 -0.6099 +v -0.3528 -0.3910 -0.5733 +v -0.2198 -0.3683 -0.5399 +v -0.1344 -0.3364 -0.3683 +v -0.0653 -0.3317 -0.2637 +v 0.0000 -0.3011 -0.2015 +v -1.0926 -0.1011 -0.7841 +v -1.3953 -0.2663 -0.5656 +v -0.9006 -0.5766 -0.6489 +v -0.6779 -0.6726 -0.5482 +v -0.2195 -0.5008 -0.2943 +v -0.1561 -0.4392 -0.1798 +v -0.0816 -0.4101 -0.1004 +v 0.0000 -0.3663 -0.0631 +v -1.1250 -0.3062 -0.6944 +v -1.5402 1.3887 0.0175 +v -1.4114 1.3845 -0.2284 +v -1.6410 1.3747 0.5016 +v -1.6339 1.3929 0.2657 +v -1.5944 1.3533 0.7191 +v -1.4734 1.3180 0.9035 +v -1.5575 1.1440 -0.0399 +v -1.4213 1.1315 -0.2935 +v -1.6735 1.1271 0.4631 +v -1.6631 1.1382 0.2210 +v -1.6362 1.1065 0.6927 +v -1.5065 1.0731 0.8889 +v -1.5812 0.8654 -0.0980 +v -1.4374 0.8644 -0.3654 +v -1.6964 0.8624 0.4228 +v -1.6906 0.8674 0.1729 +v -1.6520 0.8402 0.6748 +v -1.5361 0.8108 0.8918 +v -1.6123 0.5911 -0.1390 +v -1.4715 0.5901 -0.4229 +v -1.7157 0.5738 0.4080 +v -1.7043 0.5841 0.1423 +v -1.6723 0.5569 0.6698 +v -1.5571 0.5278 0.8960 +v -1.6404 0.3394 -0.1511 +v -1.4975 0.3437 -0.4374 +v -1.7416 0.3086 0.4186 +v -1.7275 0.3220 0.1414 +v -1.7073 0.2976 0.6896 +v -1.5844 0.2580 0.9210 +v -1.6648 0.1157 -0.1308 +v -1.5246 0.1231 -0.4222 +v -1.7701 0.0985 0.4498 +v -1.7472 0.1015 0.1649 +v -1.7382 0.0932 0.7255 +v -1.6091 0.0561 0.9472 +v -1.7072 -0.0742 -0.0895 +v -1.5669 -0.0694 -0.3811 +v -1.8099 -0.0752 0.4855 +v -1.7814 -0.0799 0.2016 +v -1.7663 -0.0791 0.7605 +v -1.6419 -0.1057 0.9693 +v -1.7470 -0.2348 -0.0500 +v -1.6119 -0.2353 -0.3316 +v -1.8493 -0.2401 0.5124 +v -1.8194 -0.2401 0.2342 +v -0.8925 -0.5481 1.1114 +v -0.8356 -0.3781 1.1183 +v 0.0000 0.9426 1.4264 +v -1.2516 1.2675 1.0462 +v -0.3717 1.0085 1.3914 +v -0.5699 1.0685 1.3334 +v -1.0049 1.2057 1.1548 +v -0.7771 1.1374 1.2427 +v 0.0000 0.6124 1.3794 +v -1.2999 1.0323 1.0472 +v -0.3741 0.6989 1.3542 +v -0.5754 0.7781 1.2899 +v -1.0290 0.9488 1.1389 +v -0.7863 0.8668 1.2242 +v 0.0000 0.3116 1.3004 +v -1.3417 0.7601 1.0590 +v -0.3535 0.3952 1.2916 +v -0.5616 0.4876 1.2432 +v -1.0548 0.6819 1.1409 +v -0.7855 0.5862 1.1839 +v 0.0000 0.0689 1.2150 +v -1.3543 0.4828 1.0602 +v -0.3096 0.1230 1.1942 +v -0.5277 0.2189 1.1613 +v -1.0796 0.4151 1.1511 +v -0.7933 0.3283 1.1746 +v 0.0000 -0.1335 1.1140 +v -1.3762 0.2172 1.0772 +v -0.2640 -0.0687 1.1108 +v -0.4908 0.0179 1.0887 +v -1.0938 0.1642 1.1598 +v -0.7861 0.1033 1.1570 +v 0.0000 -0.2498 1.0243 +v -1.4040 0.0241 1.0886 +v -0.2325 -0.1915 1.0285 +v -0.4062 -0.1454 1.0405 +v -1.0979 -0.0216 1.1554 +v -0.7651 -0.0735 1.1379 +v -1.4432 -0.1326 1.0972 +v -0.4900 -0.2993 1.0068 +v -1.1191 -0.1774 1.1485 +v -0.7853 -0.2309 1.1233 +v -0.1761 0.9640 1.4202 +v -0.1815 0.6349 1.3719 +v -0.1671 0.3277 1.2976 +v -0.1503 0.0796 1.2115 +v -0.1351 -0.1107 1.1139 +v -0.1178 -0.2285 1.0266 +v -0.9854 1.4552 1.1794 +v -0.7637 1.3954 1.2692 +v -0.3541 1.3051 1.4169 +v -0.1480 1.2769 1.4498 +v 0.0000 1.2677 1.4490 +v -1.2167 1.5043 1.0686 +v -0.5531 1.3437 1.3514 +v 0.0000 -0.3662 0.8619 +v -0.0899 -0.3511 0.8421 +v 0.0000 -0.4159 0.6343 +v -0.0837 -0.4044 0.6178 +v 0.0000 -0.4130 0.2482 +v -0.0820 -0.4225 0.2465 +v 0.0000 -0.4200 0.0856 +v -0.0697 -0.4474 0.0615 +v -0.1843 -0.3131 0.8262 +v -0.1495 -0.3791 0.6020 +v -0.1605 -0.4327 0.2350 +v -0.1409 -0.4460 0.0331 +v -0.2522 -0.3187 0.8126 +v -0.2236 -0.4265 0.5816 +v -0.2086 -0.5197 0.2131 +v -0.2136 -0.5381 -0.0316 +v -0.1153 1.3658 -0.6039 +v 0.0000 1.3801 -0.5799 +v -0.8902 1.3837 -0.6505 +v -0.6890 1.3850 -0.6738 +v -0.5024 1.3777 -0.6429 +v -1.0640 1.5990 -0.4112 +v -0.3507 1.3755 -0.6313 +v -0.2292 1.3694 -0.6190 +v -1.2393 1.6095 -0.3265 +v -1.5675 1.6243 0.3053 +v -1.4973 1.6220 0.0712 +v -1.3807 1.5465 0.9185 +v -1.5096 1.5831 0.7386 +v -1.5775 1.6051 0.5341 +v -1.3755 1.6138 -0.1595 +v -1.4290 -0.4355 -0.5079 +v -1.1706 -0.5004 -0.6079 +v -1.7713 -0.3681 -0.0264 +v -1.6376 -0.3823 -0.3034 +v -1.8846 -0.3735 0.5310 +v -1.8515 -0.3690 0.2570 +v -1.1582 -0.3313 1.1424 +v -0.5573 -0.4303 1.0159 +v -1.4801 -0.2895 1.1028 +v -1.6727 -0.2646 0.9843 +v -0.3241 -0.4468 0.8075 +v -0.2644 -0.5552 0.5703 +v -0.2585 -0.6475 0.1661 +v -0.2951 -0.6398 -0.0722 +v -1.2046 -0.4955 1.1383 +v -0.6214 -0.6179 1.0158 +v -1.5219 -0.4425 1.1067 +v -1.7067 -0.4123 0.9959 +v -0.3843 -0.5791 0.8070 +v -0.3149 -0.6929 0.5651 +v -0.3099 -0.7885 0.1390 +v -0.3719 -0.7644 -0.0962 +v -0.4476 -0.7406 0.8044 +v -0.3767 -0.8453 0.5612 +v -0.3623 -0.9398 0.1184 +v -0.4363 -0.9008 -0.1081 +v -0.3094 -0.5729 -0.3318 +v -1.7985 -0.2349 0.7822 +v -1.8278 -0.3762 0.7935 +v -0.4295 -0.6818 -0.3540 +v -0.5303 -0.8151 -0.3602 +v -0.9815 -0.7350 -0.6167 +v -0.7677 -0.8429 -0.5086 +v -0.9509 -0.7497 1.1038 +v -1.4692 -0.5755 -0.4895 +v -1.2257 -0.6490 -0.5813 +v -1.7960 -0.4924 -0.0158 +v -1.6698 -0.5135 -0.2934 +v -1.9105 -0.4962 0.5416 +v -1.8749 -0.4925 0.2683 +v -1.2535 -0.6717 1.1337 +v -0.7019 -0.8376 1.0053 +v -1.5593 -0.5995 1.1082 +v -1.7455 -0.5535 1.0034 +v -0.5216 -0.9469 0.7990 +v -0.4414 -1.0259 0.5602 +v -0.4243 -1.0969 0.1020 +v -0.4990 -1.0502 -0.1165 +v -1.8626 -0.5086 0.8015 +v -0.5977 -0.9643 -0.3636 +v -1.0447 -0.9282 -0.5905 +v -0.8312 -1.0435 -0.4871 +v -1.0271 -0.9870 1.0924 +v -1.5190 -0.7431 -0.4784 +v -1.2792 -0.8237 -0.5721 +v -1.8319 -0.6690 -0.0093 +v -1.7137 -0.6874 -0.2830 +v -1.9388 -0.6739 0.5406 +v -1.9034 -0.6727 0.2703 +v -1.3096 -0.8833 1.1295 +v -0.7831 -1.0867 0.9837 +v -1.5955 -0.8025 1.1104 +v -1.7906 -0.7418 1.0043 +v -0.6083 -1.1924 0.7830 +v -0.5125 -1.2583 0.5517 +v -0.4913 -1.2768 0.0910 +v -0.5625 -1.2251 -0.1217 +v -1.9057 -0.6919 0.8010 +v -0.6503 -1.1419 -0.3529 +v -1.0805 -1.2227 -0.5676 +v -0.8871 -1.3490 -0.4676 +v -1.1018 -1.2846 1.0770 +v -1.5631 -1.0387 -0.4531 +v -1.3220 -1.1228 -0.5560 +v -1.8541 -0.9818 0.0022 +v -1.7439 -0.9950 -0.2598 +v -1.9638 -0.9856 0.5272 +v -1.9241 -0.9852 0.2680 +v -1.3632 -1.1919 1.1233 +v -0.8661 -1.3882 0.9592 +v -1.6335 -1.1094 1.1095 +v -1.8252 -1.0478 0.9875 +v -0.6805 -1.4830 0.7632 +v -0.5803 -1.5459 0.5356 +v -0.5516 -1.5754 0.0803 +v -0.6392 -1.5338 -0.1243 +v -1.9391 -1.0044 0.7807 +v -0.7201 -1.4670 -0.3269 +v -1.2213 -1.9908 -0.4501 +v -1.0409 -2.0913 -0.3810 +v -1.2206 -1.9966 1.0671 +v -1.6598 -1.8329 -0.3458 +v -1.4282 -1.8990 -0.4496 +v -1.9151 -1.7857 0.0559 +v -1.8216 -1.7866 -0.1849 +v -1.9714 -1.7816 0.4872 +v -1.9536 -1.7895 0.2751 +v -1.4661 -1.9048 1.1089 +v -0.9826 -2.0962 0.9566 +v -1.7080 -1.8419 1.0726 +v -1.8786 -1.7897 0.9277 +v -0.8508 -2.1727 0.7467 +v -0.7753 -2.2309 0.5275 +v -0.7332 -2.2739 0.1036 +v -0.7768 -2.2501 -0.0840 +v -1.9731 -1.7686 0.7212 +v -0.8882 -2.1847 -0.2482 +v -1.3185 -2.4244 -0.3593 +v -1.1605 -2.5061 -0.3040 +v -1.2915 -2.4007 1.0317 +v -1.7068 -2.2932 -0.2610 +v -1.4985 -2.3582 -0.3603 +v -1.9398 -2.2304 0.0831 +v -1.8495 -2.2498 -0.1155 +v -1.9615 -2.2238 0.4392 +v -1.9568 -2.2289 0.2703 +v -1.5343 -2.3181 1.0569 +v -1.0410 -2.4903 0.9417 +v -1.7483 -2.2626 1.0001 +v -1.8827 -2.2284 0.8386 +v -0.9134 -2.5661 0.7433 +v -0.8527 -2.6192 0.5308 +v -0.8182 -2.6617 0.1191 +v -0.8486 -2.6456 -0.0612 +v -1.9590 -2.2136 0.6355 +v -0.9768 -2.5815 -0.2263 +v -1.3911 -2.8490 -0.3234 +v -1.2314 -2.9151 -0.2830 +v -1.3685 -2.8083 0.9540 +v -1.7426 -2.7354 -0.2219 +v -1.5661 -2.7825 -0.3179 +v -1.9162 -2.6672 0.0934 +v -1.8646 -2.6957 -0.0843 +v -1.9593 -2.6662 0.4138 +v -1.9454 -2.6524 0.2562 +v -1.5871 -2.7508 0.9593 +v -1.1378 -2.8828 0.8992 +v -1.7637 -2.6917 0.8741 +v -1.9005 -2.6677 0.7374 +v -0.9907 -2.9495 0.7190 +v -0.9399 -2.9989 0.5300 +v -0.9125 -3.0386 0.1426 +v -0.9568 -3.0290 -0.0328 +v -1.9532 -2.6620 0.5741 +v -1.0849 -2.9772 -0.1750 +v -1.4171 -3.1159 -0.3234 +v -1.2704 -3.1903 -0.2811 +v -1.4153 -3.0616 0.8723 +v -1.7477 -3.0001 -0.2242 +v -1.5804 -3.0528 -0.2992 +v -1.9192 -2.9437 0.0873 +v -1.8644 -2.9703 -0.0780 +v -1.9474 -2.9289 0.3874 +v -1.9469 -2.9318 0.2426 +v -1.6230 -3.0050 0.8994 +v -1.2238 -3.1163 0.8377 +v -1.7837 -2.9733 0.7927 +v -1.8953 -2.9374 0.6714 +v -1.0755 -3.2059 0.6895 +v -1.0090 -3.2552 0.5211 +v -0.9738 -3.2873 0.1470 +v -1.0272 -3.2777 -0.0240 +v -1.9430 -2.9274 0.5321 +v -1.1363 -3.2436 -0.1663 +v -1.4277 -3.2932 -0.3245 +v -1.2863 -3.3608 -0.2805 +v -1.4641 -3.2566 0.8842 +v -1.7463 -3.1803 -0.2244 +v -1.5829 -3.2333 -0.2941 +v -1.9367 -3.1283 0.0691 +v -1.8739 -3.1467 -0.0960 +v -1.9567 -3.1297 0.3691 +v -1.9533 -3.1256 0.2243 +v -1.6301 -3.2122 0.8729 +v -1.2955 -3.3163 0.8353 +v -1.7708 -3.1769 0.7621 +v -1.8567 -3.1593 0.6374 +v -1.1392 -3.3843 0.6731 +v -1.0588 -3.4279 0.5024 +v -0.9987 -3.4515 0.1338 +v -1.0667 -3.4382 -0.0142 +v -1.9194 -3.1444 0.5059 +v -1.1658 -3.4081 -0.1584 +v -1.4420 -3.4362 -0.3309 +v -1.3024 -3.4966 -0.2736 +v -1.4743 -3.4383 0.8862 +v -1.7533 -3.3295 -0.2326 +v -1.6073 -3.3778 -0.3157 +v -1.9672 -3.2815 0.0510 +v -1.8837 -3.2929 -0.1143 +v -1.9839 -3.3030 0.3510 +v -1.9784 -3.2913 0.2062 +v -1.6482 -3.4016 0.8461 +v -1.3364 -3.4813 0.8460 +v -1.7780 -3.3704 0.7417 +v -1.8748 -3.3464 0.6244 +v -1.1767 -3.5492 0.6625 +v -1.0909 -3.5873 0.4870 +v -1.0290 -3.6003 0.1237 +v -1.0967 -3.5806 -0.0189 +v -1.9408 -3.3250 0.4903 +v -1.1848 -3.5468 -0.1605 +v -1.4583 -3.5711 -0.3466 +v -1.3231 -3.6270 -0.2779 +v -1.5094 -3.6058 0.8760 +v -1.7627 -3.4658 -0.2465 +v -1.6262 -3.5137 -0.3333 +v -1.9814 -3.4346 0.0303 +v -1.8931 -3.4303 -0.1356 +v -2.0075 -3.4694 0.3329 +v -1.9956 -3.4515 0.1855 +v -1.6830 -3.5770 0.8568 +v -1.3661 -3.6419 0.8365 +v -1.8134 -3.5494 0.7444 +v -1.9147 -3.5183 0.6167 +v -1.1944 -3.7141 0.6478 +v -1.1000 -3.7503 0.4715 +v -1.0652 -3.7499 0.1086 +v -1.1328 -3.7241 -0.0290 +v -1.9664 -3.4962 0.4774 +v -1.2104 -3.6839 -0.1691 +v -1.4894 -3.7197 -0.3640 +v -1.3563 -3.7762 -0.2939 +v -1.5452 -3.7712 0.8448 +v -1.7828 -3.6138 -0.2697 +v -1.6530 -3.6609 -0.3521 +v -2.0010 -3.5968 0.0095 +v -1.9137 -3.5840 -0.1572 +v -2.0272 -3.6370 0.3121 +v -2.0224 -3.6169 0.1673 +v -1.7156 -3.7412 0.8373 +v -1.4024 -3.8072 0.8049 +v -1.8352 -3.7157 0.7468 +v -1.9203 -3.6878 0.6010 +v -1.2401 -3.8817 0.6184 +v -1.1304 -3.9215 0.4457 +v -1.1217 -3.9127 0.0953 +v -1.1692 -3.8847 -0.0577 +v -1.9692 -3.6692 0.4566 +v -1.2394 -3.8395 -0.1967 +v -1.5236 -3.8954 -0.4062 +v -1.3846 -3.9567 -0.3438 +v -1.5706 -3.9490 0.8005 +v -1.8325 -3.7890 -0.3086 +v -1.6944 -3.8353 -0.3915 +v -2.0599 -3.7625 -0.0213 +v -1.9586 -3.7650 -0.1872 +v -2.0644 -3.7934 0.2915 +v -2.0602 -3.7813 0.1415 +v -1.7362 -3.9036 0.7845 +v -1.4525 -3.9871 0.7370 +v -1.8467 -3.8685 0.7065 +v -1.9264 -3.8463 0.5751 +v -1.3063 -4.0647 0.5681 +v -1.2080 -4.1045 0.4060 +v -1.1811 -4.0969 0.0579 +v -1.2125 -4.0695 -0.0987 +v -2.0030 -3.8215 0.4359 +v -1.2786 -4.0233 -0.2333 +v -1.5645 -4.0913 -0.4547 +v -1.4146 -4.1619 -0.3958 +v -1.6280 -4.1322 0.7137 +v -1.8921 -3.9756 -0.3706 +v -1.7295 -4.0308 -0.4420 +v -2.1022 -3.9364 -0.0574 +v -2.0238 -3.9450 -0.2368 +v -2.1063 -3.9484 0.2709 +v -2.1128 -3.9437 0.1132 +v -1.7545 -4.0752 0.7165 +v -1.5136 -4.1867 0.6526 +v -1.8682 -4.0269 0.6627 +v -1.9667 -3.9936 0.5467 +v -1.3877 -4.2675 0.5099 +v -1.3019 -4.3082 0.3618 +v -1.2384 -4.3043 0.0277 +v -1.2673 -4.2760 -0.1360 +v -2.0464 -3.9704 0.4153 +v -1.3172 -4.2351 -0.2746 +v -1.5976 -4.3041 -0.5149 +v -1.4459 -4.3868 -0.4580 +v -1.6708 -4.3489 0.6105 +v -1.9389 -4.1600 -0.4208 +v -1.7674 -4.2325 -0.4976 +v -2.1796 -4.1097 -0.0934 +v -2.0837 -4.1157 -0.2837 +v -2.1561 -4.1225 0.2503 +v -2.1886 -4.1121 0.0851 +v -1.7820 -4.2778 0.6335 +v -1.5667 -4.4157 0.5533 +v -1.8956 -4.2167 0.6057 +v -1.9976 -4.1852 0.5092 +v -1.4540 -4.4918 0.4441 +v -1.3638 -4.5342 0.3159 +v -1.2733 -4.5399 0.0002 +v -1.2815 -4.5122 -0.1776 +v -2.0883 -4.1549 0.4012 +v -1.3366 -4.4683 -0.3274 +v -1.6260 -4.5568 -0.5757 +v -1.4654 -4.6424 -0.5228 +v -1.7176 -4.5992 0.5275 +v -2.0137 -4.3905 -0.4771 +v -1.8212 -4.4721 -0.5685 +v -2.2793 -4.3247 -0.1292 +v -2.1751 -4.3334 -0.3230 +v -2.2339 -4.3392 0.2324 +v -2.2913 -4.3206 0.0622 +v -1.8167 -4.5259 0.5618 +v -1.6238 -4.6663 0.4770 +v -1.9286 -4.4563 0.5473 +v -2.0391 -4.4148 0.4855 +v -1.5200 -4.7320 0.3868 +v -1.4179 -4.7761 0.2798 +v -1.3098 -4.7818 -0.0320 +v -1.3088 -4.7483 -0.2231 +v -2.1360 -4.3841 0.3732 +v -1.3585 -4.7018 -0.3966 +v -1.6709 -4.8405 -0.6366 +v -1.5146 -4.9171 -0.5633 +v -1.7626 -4.8815 0.4727 +v -2.1060 -4.6827 -0.5272 +v -1.8999 -4.7559 -0.6321 +v -2.3819 -4.5965 -0.1694 +v -2.2855 -4.6230 -0.3685 +v -2.2997 -4.6109 0.2329 +v -2.3720 -4.5882 0.0480 +v -1.8554 -4.8146 0.5325 +v -1.6833 -4.9353 0.4263 +v -1.9623 -4.7491 0.5102 +v -2.0767 -4.6995 0.4666 +v -1.6012 -4.9854 0.3458 +v -1.5103 -5.0229 0.2429 +v -1.3629 -5.0450 -0.0476 +v -1.3518 -5.0145 -0.2480 +v -2.1804 -4.6656 0.3625 +v -1.4111 -4.9759 -0.4129 +v -1.7518 -5.1588 -0.6409 +v -1.5789 -5.2262 -0.5765 +v -1.8089 -5.1843 0.4362 +v -2.1856 -5.0122 -0.5567 +v -1.9742 -5.0818 -0.6402 +v -2.4348 -4.9328 -0.1741 +v -2.3528 -4.9610 -0.3860 +v -2.3270 -4.9654 0.2421 +v -2.4217 -4.9374 0.0622 +v -1.8929 -5.1337 0.4910 +v -1.7383 -5.2263 0.3856 +v -1.9991 -5.0753 0.4904 +v -2.1099 -5.0302 0.4530 +v -1.6702 -5.2632 0.3179 +v -1.6050 -5.2926 0.2172 +v -1.4566 -5.3254 -0.0501 +v -1.4301 -5.3073 -0.2399 +v -2.2152 -5.0002 0.3663 +v -1.4717 -5.2758 -0.4104 +v -1.8154 -5.4873 -0.5986 +v -1.6678 -5.5411 -0.5439 +v -1.8589 -5.5071 0.3884 +v -2.2008 -5.3617 -0.5377 +v -2.0052 -5.4275 -0.5840 +v -2.4414 -5.2935 -0.1296 +v -2.3763 -5.3115 -0.3770 +v -2.3476 -5.3376 0.2553 +v -2.4368 -5.3092 0.0823 +v -1.9326 -5.4756 0.4276 +v -1.7938 -5.5379 0.3508 +v -2.0304 -5.4319 0.4496 +v -2.1377 -5.3890 0.4388 +v -1.7433 -5.5663 0.2828 +v -1.6872 -5.5935 0.1956 +v -1.5914 -5.6141 -0.0500 +v -1.5572 -5.6068 -0.2137 +v -2.2416 -5.3646 0.3775 +v -1.5757 -5.5811 -0.3795 +v -1.8984 -5.8522 -0.5125 +v -1.7843 -5.8886 -0.4419 +v -1.9270 -5.8774 0.3535 +v -2.2269 -5.7846 -0.4496 +v -2.0591 -5.8166 -0.5089 +v -2.4230 -5.7607 -0.1131 +v -2.3593 -5.7620 -0.3106 +v -2.3560 -5.7836 0.2198 +v -2.4218 -5.7720 0.0773 +v -1.9924 -5.8611 0.3821 +v -1.8696 -5.8966 0.3203 +v -2.0762 -5.8391 0.3989 +v -2.1693 -5.8177 0.3859 +v -1.8179 -5.9165 0.2681 +v -1.7630 -5.9371 0.1966 +v -1.6845 -5.9550 -0.0308 +v -1.6831 -5.9454 -0.1735 +v -2.2610 -5.8018 0.3305 +v -1.7179 -5.9223 -0.3175 +v -2.2297 -8.1184 0.2186 +v -2.1640 -8.0925 0.2580 +v -2.0934 -8.0619 0.2962 +v -2.0250 -8.0150 0.3420 +v -2.0166 -8.0057 0.5314 +v -2.4532 -6.8682 0.0433 +v -2.4606 -6.8545 -0.0722 +v -2.5051 -7.1008 -0.0626 +v -2.4924 -7.1001 0.0561 +v -2.5382 -7.2569 0.0679 +v -2.0421 -6.4162 -0.4123 +v -1.9281 -6.4201 -0.3405 +v -2.0382 -6.3859 0.3374 +v -2.3010 -6.3945 -0.3518 +v -2.1795 -6.4054 -0.4178 +v -2.4377 -6.3718 -0.0927 +v -2.3880 -6.3789 -0.2389 +v -2.3254 -6.3672 0.2695 +v -2.3974 -6.3678 0.1647 +v -2.0970 -6.3789 0.3548 +v -1.9817 -6.3915 0.3106 +v -2.1666 -6.3726 0.3539 +v -1.9257 -6.3945 0.2680 +v -1.8697 -6.4002 0.2031 +v -1.7926 -6.4147 0.0067 +v -1.8008 -6.4175 -0.1152 +v -2.2466 -6.3661 0.3317 +v -1.8511 -6.4209 -0.2386 +v -2.1155 -6.9309 -0.3439 +v -1.9940 -6.8991 -0.2692 +v -2.1506 -6.8469 0.3553 +v -2.3495 -6.8815 -0.2900 +v -2.2583 -6.9095 -0.3622 +v -2.5904 -7.3748 -0.0626 +v -2.4198 -6.8590 -0.1825 +v -2.3889 -6.8544 0.2326 +v -2.4308 -6.8677 0.1316 +v -2.2095 -6.8436 0.3549 +v -2.0958 -6.8478 0.3336 +v -2.2700 -6.8376 0.3358 +v -2.0424 -6.8469 0.3120 +v -1.9905 -6.8484 0.2485 +v -1.9085 -6.8714 0.0580 +v -1.8947 -6.8827 -0.0561 +v -2.3295 -6.8338 0.3056 +v -1.9288 -6.8906 -0.1743 +v -2.1589 -7.0700 0.4045 +v -2.4123 -7.0849 0.2613 +v -2.4676 -7.0912 0.1512 +v -2.2214 -7.0704 0.3899 +v -2.1108 -7.0623 0.3791 +v -2.2852 -7.0628 0.3727 +v -2.0674 -7.0476 0.3513 +v -2.3444 -7.0639 0.3254 +v -0.3096 7.3374 1.4127 +v -0.3473 7.3383 1.4077 +v -0.3824 7.3332 1.4005 +v -0.4103 7.3242 1.3889 +v -0.4295 7.3143 1.3781 +v -0.4392 7.3050 1.3690 +v -0.4438 7.2978 1.3612 +v -0.4448 7.2899 1.3550 +v -0.4428 7.2826 1.3539 +v -0.4388 7.2753 1.3548 +v -0.4250 7.2618 1.3647 +v -0.4106 7.2512 1.3741 +v -0.3905 7.2421 1.3858 +v -0.3522 7.2350 1.4001 +v -0.3109 7.2338 1.4028 +v -0.2738 7.2367 1.3983 +v -0.2382 7.2423 1.3920 +v -0.2012 7.2507 1.3821 +v -0.2701 7.3295 1.4076 +v -0.2333 7.3164 1.3977 +v -0.2067 7.3004 1.3967 +v -0.1789 7.2826 1.3975 +v -0.1717 7.2759 1.3885 +v -0.1704 7.2676 1.3822 +v -0.1756 7.2598 1.3816 +v -0.1899 7.2900 1.3965 +v -0.1553 7.2505 1.3949 +v -0.2217 7.3393 1.4072 +v -0.1902 7.3190 1.4045 +v -0.3916 7.3580 1.3859 +v -0.4544 7.3279 1.3543 +v -0.4678 7.3139 1.3414 +v -0.4733 7.3013 1.3316 +v -0.4747 7.2892 1.3264 +v -0.4741 7.2764 1.3251 +v -0.4529 7.2326 1.3344 +v -0.4701 7.2621 1.3223 +v -0.3642 7.1937 1.3842 +v -0.4037 7.2032 1.3657 +v -0.3178 7.1920 1.3967 +v -0.2672 7.1966 1.3980 +v -0.1764 7.2308 1.3853 +v -0.2245 7.2075 1.3934 +v -0.4330 7.2170 1.3521 +v -0.1718 7.3036 1.4033 +v -0.1520 7.2646 1.4022 +v -0.1606 7.2896 1.4040 +v -0.1542 7.2773 1.4045 +v -0.2627 7.3555 1.4077 +v -0.3499 7.3652 1.4020 +v -0.3073 7.3643 1.4084 +v -0.4284 7.3444 1.3712 +v -1.9870 -7.8918 1.5496 +v -1.8534 -7.8772 1.5570 +v -1.8132 -8.0219 1.5454 +v -2.0341 -8.0499 1.5585 +v -1.8823 -7.9305 1.7396 +v -1.8527 -8.0108 1.8571 +v -2.0413 -8.0149 1.8432 +v -2.0008 -7.9385 1.7263 +v -1.8721 -7.9925 1.8731 +v -2.0317 -7.9912 1.8608 +v -1.9959 -7.9436 1.7345 +v -1.8897 -7.9413 1.7504 +v -1.7928 -8.0541 1.7351 +v -2.0536 -8.0527 1.7422 +v -2.0038 -7.9167 1.6811 +v -1.8667 -7.9100 1.6924 +v -1.8666 -7.8896 1.6400 +v -1.9976 -7.9013 1.6341 +v -2.0562 -8.0607 1.6502 +v -1.7733 -8.0519 1.6511 +v -1.8621 -7.8780 1.5903 +v -2.0403 -8.0514 1.5780 +v -1.9896 -7.8968 1.5750 +v -1.8025 -8.0272 1.5832 +v -1.8640 -7.8846 1.6142 +v -2.0474 -8.0593 1.6026 +v -1.9967 -7.9007 1.6096 +v -1.7946 -8.0372 1.6099 +v -1.8168 -8.0445 1.7874 +v -2.0035 -7.9271 1.7004 +v -2.0526 -8.0506 1.7970 +v -1.8723 -7.9199 1.7124 +v -1.8715 -8.1214 1.5487 +v -1.9238 -8.0587 1.8889 +v -1.9231 -8.0280 1.9117 +v -1.8778 -8.1461 1.7795 +v -1.8696 -8.1614 1.6510 +v -1.8755 -8.1389 1.5791 +v -1.8705 -8.1517 1.6138 +v -1.9033 -8.1211 1.8307 +v -1.9536 -8.1433 1.6089 +v -1.9459 -8.1389 1.5809 +v -2.0033 -8.1158 1.8209 +v -1.9981 -8.0205 1.9020 +v -1.9757 -8.1418 1.6506 +v -2.0037 -8.1418 1.7665 +v -1.9384 -8.1294 1.5579 +v -1.9988 -8.0534 1.8818 +v -1.8863 -7.9837 1.8803 +v -2.0199 -7.9816 1.8650 +v -1.9905 -7.9487 1.7435 +v -1.8977 -7.9496 1.7554 +v -1.9206 -8.0095 1.9017 +v -1.9957 -8.0053 1.8960 +v -1.8139 -7.9396 1.5570 +v -2.0149 -7.9355 1.5567 +v -1.8627 -7.9579 1.7900 +v -2.0307 -7.9650 1.7621 +v -1.8752 -7.9583 1.8017 +v -2.0215 -7.9580 1.7772 +v -1.8153 -7.9614 1.6963 +v -2.0398 -7.9440 1.6334 +v -1.8075 -7.9525 1.6477 +v -2.0453 -7.9603 1.6932 +v -1.8150 -7.9457 1.5900 +v -2.0211 -7.9373 1.5770 +v -1.8089 -7.9473 1.6199 +v -2.0310 -7.9405 1.6078 +v -2.0395 -7.9698 1.7211 +v -1.8369 -7.9664 1.7384 +v -2.0067 -7.9577 1.7853 +v -1.8825 -7.9605 1.8041 +v -1.8403 -8.0801 1.5513 +v -2.0270 -8.0350 1.8682 +v -1.8936 -8.0168 1.9091 +v -1.9833 -8.0930 1.5592 +v -1.8300 -8.1082 1.7505 +v -1.8134 -8.1066 1.6518 +v -1.8369 -8.0939 1.5775 +v -1.8286 -8.0996 1.6099 +v -2.0392 -8.0817 1.8055 +v -1.8896 -8.0472 1.8844 +v -1.8588 -8.0988 1.8230 +v -2.0087 -8.1040 1.6101 +v -1.9897 -8.0996 1.5812 +v -2.0204 -8.0086 1.8848 +v -2.0258 -8.1040 1.6505 +v -2.0431 -8.0890 1.7531 +v -1.8987 -7.9978 1.8892 +v -2.0149 -7.9933 1.8772 +v -2.1196 -7.9607 1.8140 +v -2.0997 -8.0077 1.8638 +v -2.2152 -8.0042 1.8585 +v -2.1925 -7.9551 1.8119 +v -2.1065 -7.9969 1.8720 +v -2.2079 -7.9986 1.8652 +v -2.1902 -7.9614 1.8162 +v -2.1222 -7.9666 1.8197 +v -2.0770 -8.0134 1.7664 +v -2.2313 -8.0366 1.7467 +v -2.1927 -7.9450 1.7780 +v -2.1157 -7.9430 1.7812 +v -2.0808 -8.0153 1.8209 +v -2.1931 -7.9513 1.7932 +v -2.2324 -8.0257 1.8066 +v -2.1155 -7.9504 1.7966 +v -2.1294 -8.0405 1.9047 +v -2.1323 -8.0174 1.9062 +v -2.1194 -8.1232 1.7454 +v -2.1161 -8.0898 1.8647 +v -2.1846 -8.0944 1.8650 +v -2.1809 -8.0176 1.9071 +v -2.1807 -8.1197 1.7420 +v -2.1850 -8.0402 1.9012 +v -2.1136 -7.9900 1.8753 +v -2.2008 -7.9903 1.8740 +v -2.1859 -7.9674 1.8218 +v -2.1267 -7.9713 1.8244 +v -2.1297 -8.0059 1.9014 +v -2.1829 -8.0067 1.8984 +v -2.2248 -8.0320 1.7014 +v -2.1156 -7.9208 1.7582 +v -2.1920 -7.9217 1.7554 +v -2.0802 -8.0050 1.7216 +v -2.1249 -8.1041 1.6765 +v -2.1808 -8.0967 1.6708 +v -2.1039 -7.9756 1.8276 +v -2.2088 -7.9715 1.8266 +v -2.1095 -7.9798 1.8325 +v -2.2030 -7.9742 1.8325 +v -2.0949 -7.9460 1.7786 +v -2.2243 -7.9790 1.7605 +v -2.2213 -7.9797 1.7907 +v -2.0937 -7.9610 1.7989 +v -2.1931 -7.9762 1.8371 +v -2.1207 -7.9794 1.8372 +v -2.2218 -7.9760 1.7330 +v -2.0945 -7.9423 1.7443 +v -2.2102 -8.0231 1.8809 +v -2.1128 -8.0090 1.8966 +v -2.0825 -8.0895 1.7458 +v -2.2220 -8.0602 1.8358 +v -2.1064 -8.0268 1.8901 +v -2.0878 -8.0590 1.8337 +v -2.2046 -8.0084 1.8884 +v -2.2217 -8.0836 1.7412 +v -2.1187 -7.9990 1.8932 +v -2.1951 -7.9973 1.8910 +v -2.0896 -8.0768 1.6874 +v -2.2118 -8.0750 1.6819 +v -0.3489 6.9519 1.4254 +v -0.0949 6.9435 1.6321 +v -0.1729 6.8944 1.4890 +v -0.0334 6.9424 1.6716 +v -0.0648 6.9440 1.6586 +v 0.0000 6.9385 1.6798 +v -0.1619 6.9190 1.5348 +v -0.1713 6.9033 1.5090 +v -0.1216 6.9403 1.6052 +v -0.2136 7.0547 1.4478 +v -0.2830 7.0134 1.4491 +v -0.3340 7.0395 1.4313 +v -0.2425 7.0794 1.4417 +v -0.0347 7.1410 1.5487 +v 0.0000 7.1485 1.5617 +v -0.0643 7.1268 1.5321 +v -0.4973 6.9449 1.3170 +v -0.5497 6.9821 1.2637 +v -0.2374 6.9129 1.4551 +v -0.2744 6.8580 1.4431 +v -0.1710 6.9319 1.4881 +v -0.0674 6.9975 1.6280 +v -0.0185 6.7749 1.5650 +v 0.0000 6.7716 1.5585 +v -0.0889 6.7863 1.5351 +v -0.0374 6.7794 1.5593 +v -0.2282 6.8445 1.4587 +v -0.4518 7.2551 1.3376 +v -0.4406 7.2629 1.3495 +v -0.4295 7.2712 1.3613 +v -0.2120 7.2385 1.3875 +v -0.2218 7.2520 1.3842 +v -0.2067 7.2296 1.3879 +v -0.1851 7.2042 1.3889 +v -0.4784 7.2394 1.3125 +v -0.1743 7.1878 1.4070 +v -0.4995 7.2271 1.2985 +v -0.1819 7.1079 1.4383 +v -0.5467 7.1934 1.2520 +v -0.1362 7.0040 1.5085 +v -0.5763 7.1741 1.2250 +v -0.1050 7.1691 1.4622 +v -0.6007 7.1524 1.1912 +v -0.6796 6.9961 0.8807 +v -0.1397 6.9866 1.5353 +v -0.1419 6.9689 1.5522 +v -0.1418 6.9154 1.5735 +v -0.1446 6.9513 1.5632 +v -0.6924 6.9527 0.7108 +v -0.6871 6.9589 0.7678 +v -0.5223 7.2117 1.2758 +v -0.1403 7.1364 1.4467 +v -0.4267 7.2712 1.3461 +v -0.2270 7.2537 1.3727 +v -0.4300 7.2715 1.3132 +v -0.2293 7.2560 1.3435 +v -0.4466 7.2544 1.3149 +v -0.2123 7.2149 1.3478 +v -0.4576 7.2448 1.2810 +v -0.2021 7.1897 1.3131 +v -0.4608 7.2386 1.2480 +v -0.1980 7.1752 1.2775 +v -0.4590 7.2362 1.2229 +v -0.1980 7.1698 1.2499 +v -0.4555 7.2365 1.2040 +v -0.1987 7.1696 1.2286 +v -0.4505 7.2388 1.1864 +v -0.1999 7.1726 1.2087 +v -0.4425 7.2430 1.1669 +v -0.2028 7.1788 1.1864 +v -0.4278 7.2493 1.1429 +v -0.2112 7.1904 1.1580 +v -0.3917 7.3422 1.1205 +v -0.3796 7.3580 1.1216 +v -0.2269 7.3536 1.1259 +v -0.3447 7.3840 1.1251 +v -0.2005 7.2908 1.1264 +v -0.3232 7.3906 1.1264 +v -0.4331 7.2685 1.3583 +v -0.2179 7.2467 1.3863 +v -0.4639 7.2475 1.3245 +v -0.1971 7.2180 1.3871 +v -0.1466 6.9329 1.5668 +v -0.1618 7.1705 1.4211 +v -0.4689 6.9935 1.3472 +v 0.0000 7.0029 1.6522 +v -0.1222 6.7908 1.5171 +v -0.1857 6.8348 1.4708 +v -0.1640 6.8001 1.4923 +v -0.0604 6.7836 1.5474 +v -0.1757 6.8899 1.4694 +v -0.3642 6.7020 1.3771 +v -0.3392 6.7543 1.4028 +v -0.3301 6.5598 1.3716 +v -0.3328 6.5990 1.3782 +v -0.3221 6.6394 1.3931 +v -0.3005 6.6785 1.4164 +v -0.2012 6.8982 1.4623 +v -0.2881 6.9327 1.4479 +v -0.3255 6.8759 1.4218 +v -0.3253 6.6909 1.3973 +v -0.3851 6.8959 1.3979 +v -0.5396 6.8469 1.2375 +v -0.5819 6.8923 1.1801 +v -0.5503 6.7903 1.1837 +v -0.5905 6.8425 1.1234 +v -0.3500 6.6443 1.3741 +v -0.3607 6.5936 1.3544 +v -0.0676 6.3331 1.4894 +v -0.1362 6.3502 1.4619 +v -0.1990 6.3798 1.4203 +v -0.2580 6.4162 1.3825 +v -0.3074 6.4555 1.3526 +v 0.0000 6.3268 1.4990 +v -0.3371 6.4970 1.3416 +v -0.3541 6.5439 1.3431 +v -0.2806 6.3387 1.3327 +v -0.2198 6.2877 1.3779 +v -0.1512 6.2503 1.4211 +v -0.0759 6.2327 1.4424 +v -0.4012 6.5127 1.2651 +v -0.3717 6.4489 1.2690 +v 0.0000 6.2267 1.4548 +v -0.3314 6.3918 1.2939 +v -0.4203 6.6518 1.3134 +v -0.4183 6.5831 1.2828 +v -0.5853 7.0256 1.2159 +v -0.6157 6.9493 1.1288 +v -0.6238 6.9059 1.0719 +v -0.6094 7.0755 1.1765 +v -0.6369 7.0106 1.0872 +v -0.6478 6.9751 1.0308 +v -0.6221 7.1277 1.1500 +v -0.6486 7.0748 1.0587 +v -0.6606 7.0480 1.0028 +v -0.6248 7.1799 1.1372 +v -0.6539 7.1417 1.0447 +v -0.6664 7.1234 0.9892 +v -0.6232 7.2322 1.1362 +v -0.6545 7.2113 1.0450 +v -0.6684 7.2016 0.9904 +v -0.3674 7.7220 1.3870 +v -0.5518 7.6212 1.2279 +v 0.0000 7.7705 1.4976 +v -0.0605 7.7675 1.4941 +v -0.1600 7.7672 1.4763 +v -0.6757 7.2836 0.9518 +v -0.2608 7.7507 1.4389 +v -0.4688 7.6793 1.3165 +v -0.6595 7.3793 0.9949 +v -0.6371 7.4697 1.0536 +v -0.6063 7.5489 1.1373 +v -0.6788 7.1050 0.9307 +v -0.6824 7.1932 0.9359 +v -0.6718 7.0209 0.9421 +v -0.6586 6.9395 0.9698 +v -0.6306 6.8612 1.0068 +v -0.5974 6.7871 1.0551 +v -0.3877 6.5884 1.3243 +v -0.5558 6.7241 1.1216 +v -0.2546 7.1251 1.4238 +v -0.2703 6.3698 1.3583 +v 0.0000 6.2711 1.4828 +v -0.3779 6.5276 1.3063 +v -0.2100 6.3279 1.4032 +v -0.0721 6.2773 1.4686 +v -0.1467 6.2933 1.4487 +v -0.3546 6.4719 1.3073 +v -0.3184 6.4208 1.3262 +v -0.3827 6.6489 1.3511 +v -0.3236 7.1121 1.4116 +v -0.0717 6.2082 1.4229 +v -0.1506 6.2287 1.3991 +v -0.2197 6.2650 1.3568 +v -0.2822 6.3160 1.3088 +v -0.3420 6.3682 1.2606 +v 0.0000 6.2006 1.4344 +v -0.3880 6.4286 1.2295 +v -0.4247 6.4983 1.2166 +v -0.4555 6.5769 1.2187 +v -0.5130 7.7996 1.2336 +v -0.5977 7.7181 1.1338 +v -0.3979 7.8535 1.3143 +v -0.2794 7.8928 1.3867 +v -0.6637 7.5190 0.9597 +v -0.6439 7.6209 1.0421 +v -0.6944 7.0747 0.8310 +v -0.6963 7.1793 0.8429 +v -0.6875 7.2891 0.8658 +v -0.6656 6.8737 0.8310 +v -0.6759 7.4083 0.8958 +v -0.5537 6.5792 0.9688 +v -0.5981 6.6629 0.8951 +v -0.6339 6.7604 0.8453 +v 0.0000 7.9191 1.4454 +v -0.0627 7.9172 1.4416 +v -0.1569 7.9109 1.4290 +v -0.6824 6.9730 0.8292 +v -0.1339 7.1981 1.4261 +v -0.1969 7.1465 1.4224 +v -0.3270 7.0815 1.4200 +v -0.2384 6.9838 1.4550 +v -0.1908 7.0230 1.4578 +v -0.1416 7.0264 1.4881 +v -0.1531 7.0535 1.4700 +v -0.1171 7.0511 1.5140 +v -0.1227 7.0806 1.4911 +v -0.0919 7.0715 1.5384 +v -0.0942 7.1055 1.5132 +v -0.2657 6.7257 1.4455 +v -0.4284 7.5534 1.3656 +v -0.5016 7.5142 1.3026 +v -0.5562 7.4629 1.2394 +v -0.5906 7.4069 1.1789 +v -0.6143 7.3462 1.1320 +v -0.6313 7.2840 1.1039 +v -0.1529 7.6050 1.5063 +v 0.0000 6.8467 -0.1843 +v -0.0601 6.8474 -0.1831 +v -0.1596 6.8457 -0.1787 +v -0.2663 6.8354 -0.1629 +v -0.3585 6.8314 -0.1106 +v -0.4374 6.8259 -0.0366 +v -0.4910 6.8269 0.0789 +v -0.5313 6.8370 0.2001 +v -0.5565 6.8685 0.2919 +v -0.5737 6.9028 0.3597 +v -0.5715 6.8531 0.3925 +v -0.5466 6.8114 0.3331 +v -0.4852 6.7613 0.1028 +v -0.4363 6.7613 -0.0135 +v -0.3541 6.7680 -0.0985 +v -0.2592 6.7787 -0.1467 +v -0.1566 6.7957 -0.1603 +v -0.0579 6.8029 -0.1661 +v 0.0000 6.8046 -0.1684 +v -0.5190 6.7708 0.2394 +v -0.3904 6.7680 1.3746 +v -0.4396 6.7861 1.3390 +v -0.4105 6.7113 1.3456 +v -0.4561 6.7260 1.3001 +v -0.4627 6.6568 1.2581 +v -0.0671 6.1860 1.3931 +v -0.1479 6.2047 1.3714 +v -0.2223 6.2432 1.3276 +v -0.2882 6.2966 1.2760 +v -0.3489 6.3506 1.2285 +v 0.0000 6.1769 1.4030 +v -0.3992 6.4105 1.1874 +v -0.4451 6.4820 1.1575 +v -0.4984 6.5782 1.1305 +v -0.5072 6.6769 1.1904 +v -0.5038 6.7494 1.2464 +v -0.4929 6.8105 1.2936 +v -0.2505 7.1026 1.4335 +v -0.4415 6.9187 1.3619 +v -0.4001 6.9741 1.3914 +v -0.1922 7.1282 1.4315 +v -0.1505 7.1544 1.4326 +v -0.3434 7.2524 1.0903 +v -0.2947 7.2247 1.0952 +v -0.3446 7.2873 1.0876 +v -0.3441 7.3018 1.0885 +v -0.3403 7.3284 1.0933 +v -0.3352 7.3399 1.0963 +v -0.2757 7.3384 1.0971 +v -0.3228 7.3581 1.1030 +v -0.2630 7.2951 1.0906 +v -0.3174 7.3651 1.1066 +v -0.2474 7.5971 1.4697 +v -0.0625 7.6057 1.5264 +v 0.0000 7.6081 1.5311 +v -0.2605 6.7911 1.4444 +v -0.3090 6.8050 1.4232 +v -0.5174 6.8972 1.2747 +v -0.5673 6.9391 1.2261 +v -0.6047 6.9888 1.1778 +v -0.6255 7.0434 1.1377 +v -0.6351 7.1014 1.1077 +v -0.6387 7.1609 1.0956 +v -0.6383 7.2218 1.0939 +v -0.2297 6.7759 1.4643 +v -0.4158 6.8411 1.3714 +v -0.3629 6.8226 1.4008 +v -0.4691 6.8653 1.3304 +v -0.1018 6.7424 1.5479 +v -0.1311 6.4969 1.4946 +v -0.0536 6.4841 1.5131 +v 0.0000 6.4872 1.5161 +v -0.2614 6.5832 1.4147 +v -0.2715 6.6198 1.4203 +v -0.1731 6.7153 1.5094 +v -0.1678 6.7546 1.5023 +v 0.0000 6.7502 1.5635 +v -0.0185 6.7535 1.5689 +v -0.0409 6.7588 1.5645 +v -0.0667 6.7636 1.5530 +v -0.0950 6.7665 1.5380 +v -0.0928 6.8064 1.4486 +v -0.0922 6.7507 1.4718 +v -0.0963 6.7072 1.4758 +v -0.1004 6.6617 1.4764 +v -0.1453 6.6894 1.5479 +v -0.1424 6.6786 1.5485 +v -0.1340 6.6383 1.5383 +v -0.1438 6.7052 1.5442 +v -0.1480 6.9410 0.8298 +v -0.1556 6.9802 1.0279 +v -0.1108 6.9531 1.2282 +v -0.1008 6.8816 1.3669 +v -0.1085 6.6290 1.4911 +v -0.1094 6.6193 1.5003 +v -0.1381 6.6581 1.5424 +v -0.1288 6.6148 1.5361 +v -0.1291 6.7639 1.5213 +v -0.1358 6.7340 1.5280 +v -0.0904 6.6880 0.5716 +v -0.1199 6.8306 0.6701 +v -0.6387 7.9999 0.1434 +v 0.0000 8.3209 -0.0432 +v -0.7466 7.6047 0.3576 +v -0.1696 8.2975 -0.0450 +v -0.3043 8.2673 -0.0299 +v -0.7194 7.3410 0.3701 +v -0.3790 7.7872 -0.2993 +v -0.4796 7.7443 -0.2261 +v -0.6808 7.5439 0.1073 +v -0.7175 7.4080 0.3081 +v -0.5616 7.6829 -0.1067 +v -0.6301 7.6164 0.0013 +v 0.0000 7.8499 -0.3605 +v -0.7104 7.4720 0.2224 +v -0.1389 7.8254 -0.3578 +v -0.2621 7.8130 -0.3436 +v -0.6917 7.2526 0.3318 +v -0.6288 7.3377 0.0561 +v -0.6826 7.2912 0.2601 +v -0.4284 7.4129 -0.2642 +v -0.5082 7.3928 -0.1662 +v -0.5759 7.3667 -0.0559 +v 0.0000 7.4420 -0.3916 +v -0.3360 7.4254 -0.3279 +v -0.6705 7.3175 0.1632 +v -0.1142 7.4354 -0.3882 +v -0.2278 7.4298 -0.3715 +v -0.6951 7.5771 0.8545 +v -0.7490 7.6713 0.5736 +v -0.7399 7.6635 0.6610 +v -0.7274 7.6428 0.7364 +v -0.6984 7.4427 0.8070 +v -0.7400 7.5479 0.5746 +v -0.7343 7.5406 0.6403 +v -0.7213 7.5164 0.7061 +v -0.7048 7.2982 0.7574 +v -0.7322 7.4481 0.5770 +v -0.7281 7.4384 0.6269 +v -0.7192 7.4112 0.6785 +v -0.6226 6.8372 0.5262 +v -0.6058 6.8684 0.4731 +v -0.6328 7.0360 0.3577 +v -0.6108 6.9378 0.4058 +v -0.6042 6.8973 0.4390 +v -0.7037 7.1669 0.7447 +v -0.7092 7.0446 0.6429 +v -0.8224 7.3475 0.4834 +v -0.7204 6.9045 0.6128 +v -0.7852 7.3438 0.5481 +v -0.8506 7.3134 0.4059 +v -0.8566 7.2535 0.3663 +v -0.8109 7.1020 0.3558 +v -0.8355 7.1602 0.3442 +v -0.7442 6.8525 0.5724 +v -0.7084 6.9745 0.6333 +v -0.8565 7.2842 0.3853 +v -0.8531 7.2160 0.3540 +v -0.7141 7.1672 0.6576 +v -0.7514 7.3221 0.5774 +v -0.7275 7.2882 0.6077 +v -0.7227 7.2537 0.6335 +v -0.7492 6.8572 0.5198 +v -0.7432 6.8798 0.4860 +v -0.7827 7.0454 0.3707 +v -0.7617 6.9666 0.4108 +v -0.7495 6.9175 0.4435 +v -0.7123 7.1093 0.6540 +v -0.7296 7.0492 0.6189 +v -0.8420 7.3293 0.4830 +v -0.7260 6.9307 0.5986 +v -0.8050 7.3232 0.5506 +v -0.8719 7.3089 0.4210 +v -0.8793 7.2405 0.3754 +v -0.8334 7.1048 0.3600 +v -0.8535 7.1570 0.3544 +v -0.7381 6.8988 0.5670 +v -0.7316 6.9908 0.6170 +v -0.8789 7.2699 0.3923 +v -0.8725 7.2053 0.3646 +v -0.7213 7.1519 0.6305 +v -0.7783 7.3061 0.5789 +v -0.7562 7.2641 0.6020 +v -0.7397 7.2332 0.6156 +v -0.7512 6.8967 0.5290 +v -0.7565 6.9091 0.4903 +v -0.8140 7.0583 0.3729 +v -0.7891 6.9884 0.4143 +v -0.7671 6.9346 0.4569 +v -0.7199 7.1027 0.6275 +v -0.7468 7.0476 0.6024 +v -0.8365 7.3162 0.4832 +v -0.7284 6.9529 0.5871 +v -0.8089 7.3035 0.5521 +v -0.8666 7.2959 0.4310 +v -0.8691 7.2300 0.3885 +v -0.8401 7.0993 0.3735 +v -0.8577 7.1536 0.3749 +v -0.7385 6.9270 0.5600 +v -0.7410 7.0062 0.5986 +v -0.8744 7.2613 0.4019 +v -0.8637 7.1937 0.3785 +v -0.7290 7.1410 0.6129 +v -0.7818 7.2788 0.5755 +v -0.7606 7.2472 0.5938 +v -0.7484 7.2172 0.6060 +v -0.7477 6.9204 0.5276 +v -0.7591 6.9293 0.4949 +v -0.8208 7.0695 0.3863 +v -0.7939 7.0035 0.4252 +v -0.7732 6.9550 0.4626 +v -0.7280 7.0973 0.6090 +v -0.7178 7.0609 0.5820 +v -0.8126 7.2892 0.4833 +v -0.6874 6.9946 0.5713 +v -0.7712 7.2850 0.5345 +v -0.8234 7.2790 0.4440 +v -0.8403 7.2183 0.4067 +v -0.8178 7.0964 0.4059 +v -0.8285 7.1410 0.3996 +v -0.7386 6.9659 0.5504 +v -0.6989 7.0263 0.5791 +v -0.8597 7.2517 0.4219 +v -0.8415 7.1845 0.4009 +v -0.7360 7.1289 0.5941 +v -0.7557 7.2667 0.5525 +v -0.7466 7.2256 0.5753 +v -0.7425 7.1956 0.5865 +v -0.7472 6.9595 0.5255 +v -0.7587 6.9684 0.4991 +v -0.8042 7.0771 0.4098 +v -0.7851 7.0278 0.4405 +v -0.7709 6.9832 0.4736 +v -0.7257 7.0947 0.5897 +v -0.6865 7.0837 0.5632 +v -0.7933 7.2306 0.4978 +v -0.6872 7.0520 0.5323 +v -0.7588 7.2327 0.5225 +v -0.8197 7.2219 0.4810 +v -0.8354 7.1962 0.4529 +v -0.8154 7.1153 0.4351 +v -0.8254 7.1361 0.4361 +v -0.7013 7.0358 0.5178 +v -0.6811 7.0668 0.5501 +v -0.8301 7.2119 0.4665 +v -0.8358 7.1702 0.4430 +v -0.7324 7.1199 0.5738 +v -0.7414 7.2236 0.5432 +v -0.7406 7.1965 0.5554 +v -0.7344 7.1664 0.5626 +v -0.7256 7.0260 0.5066 +v -0.7676 7.0220 0.4964 +v -0.8096 7.0946 0.4406 +v -0.7899 7.0508 0.4655 +v -0.7794 7.0301 0.4828 +v -0.7109 7.1001 0.5688 +v -0.7439 7.1263 0.5534 +v -0.7800 7.0944 0.4614 +v -0.7909 7.0833 0.4564 +v -0.7399 7.1341 0.5631 +v -0.7093 7.1014 0.5558 +v -0.7651 7.0497 0.4784 +v -0.7757 7.0653 0.4637 +v -0.7995 7.1019 0.4500 +v -0.7400 7.0440 0.4857 +v -0.7142 7.0478 0.4924 +v -0.7334 7.1519 0.5530 +v -0.7332 7.1734 0.5431 +v -0.7563 7.1975 0.5378 +v -0.7314 7.1159 0.5646 +v -0.8230 7.1639 0.4564 +v -0.8162 7.1910 0.4765 +v -0.6922 7.0764 0.5351 +v -0.7053 7.0541 0.5089 +v -0.8152 7.1360 0.4490 +v -0.8087 7.1191 0.4487 +v -0.8215 7.1807 0.4659 +v -0.8083 7.1983 0.4896 +v 0.0000 6.8981 -0.2041 +v -0.0640 6.9013 -0.2039 +v -0.1627 6.9047 -0.2003 +v -0.2706 6.9041 -0.1804 +v -0.5759 8.0001 1.0417 +v -0.4583 8.0922 1.1298 +v -0.3646 6.9074 -0.1303 +v -0.6613 7.8798 0.9444 +v -0.7051 7.7485 0.8607 +v -0.4432 6.9044 -0.0508 +v 0.0000 8.2119 1.2542 +v -0.3301 8.1536 1.1938 +v -0.0796 8.2067 1.2477 +v -0.4987 6.9081 0.0566 +v -0.5698 6.9348 0.2576 +v -0.5867 6.9589 0.3259 +v -0.1848 8.1866 1.2343 +v -0.5392 6.9134 0.1740 +v -0.7131 7.6112 0.7985 +v -0.7095 7.4826 0.7575 +v -0.7108 7.3681 0.7193 +v -0.6216 6.9859 0.3787 +v -0.7169 7.2151 0.6499 +v -0.7722 7.0060 0.3907 +v -0.7281 7.1954 0.6272 +v -0.8015 7.0233 0.3936 +v -0.7368 7.1810 0.6126 +v -0.8062 7.0324 0.4077 +v -0.7420 7.1631 0.5938 +v -0.7945 7.0498 0.4254 +v -0.7398 7.1428 0.5717 +v -0.8001 7.0729 0.4509 +v -0.7807 7.2063 0.5254 +v -0.6960 7.0637 0.5226 +v -0.7986 7.2026 0.5045 +v -0.6926 7.0893 0.5454 +v -0.7695 7.2617 0.5278 +v -0.7137 7.0979 0.5786 +v -0.6851 7.0758 0.5748 +v -0.7903 7.0381 0.4579 +v -0.7744 7.0025 0.4791 +v -0.7417 7.2080 0.5620 +v -0.7544 7.2478 0.5444 +v -0.6750 7.0536 0.5631 +v -0.8396 7.2103 0.4326 +v -0.8434 7.1786 0.4207 +v -0.7491 6.9949 0.5247 +v -0.7170 7.0067 0.5361 +v -0.7334 7.1229 0.5816 +v -0.7356 7.1785 0.5709 +v -0.8316 7.2376 0.4478 +v -0.8259 7.2495 0.4673 +v -0.8172 7.1095 0.4185 +v -0.8243 7.1357 0.4157 +v -0.8114 7.0876 0.4230 +v -0.7661 6.9928 0.5012 +v -0.6816 7.0303 0.5493 +v -0.8125 7.2614 0.4902 +v -0.7401 7.1504 0.5795 +v -0.8016 7.0631 0.4412 +v -0.7615 7.0775 0.4786 +v -0.7249 7.0971 0.5300 +v -0.7495 7.1281 0.5330 +v -0.7266 7.1375 0.5211 +v -0.7830 7.1805 0.4906 +v -0.7717 6.9758 0.4699 +v -0.7306 7.0954 0.5963 +v -0.8104 7.3009 0.4833 +v -0.7394 7.1695 0.5242 +v -0.7333 7.1101 0.5545 +v -0.8652 7.2552 0.4143 +v -0.7474 7.2050 0.5964 +v -0.7427 7.0565 0.5860 +v -0.7390 6.9485 0.5557 +v -0.7427 7.0597 0.4824 +v -0.7326 7.0623 0.4924 +v -0.8051 7.1597 0.4673 +v -0.7939 7.1753 0.4822 +v -0.7784 7.1425 0.4633 +v -0.7729 7.1837 0.5007 +v -0.7018 7.0924 0.5258 +v -0.7698 7.1323 0.4606 +v -0.7749 7.1598 0.4762 +v -0.7088 7.1018 0.5407 +v -0.7593 7.0655 0.4756 +v -0.7712 7.0785 0.4675 +v -0.7819 7.1107 0.4550 +v -0.7325 7.1375 0.5427 +v -0.7262 7.1511 0.5303 +v -0.7800 7.1548 0.4689 +v -0.7687 7.1637 0.4845 +v -0.7548 7.0697 0.4849 +v -0.7520 7.0737 0.4916 +v -0.8004 7.0469 0.4232 +v -0.7413 7.1706 0.6022 +v -0.7059 7.0852 0.5203 +v -0.7220 7.0694 0.5021 +v -0.7989 7.1380 0.4584 +v -0.7343 7.0882 0.5182 +v -0.7471 7.0790 0.5007 +v -0.7896 7.1251 0.4553 +v -0.8014 7.1683 0.4744 +v -0.7625 7.1666 0.4938 +v -0.7513 7.1202 0.5429 +v -0.7673 7.1052 0.4653 +v -0.7541 7.1791 0.5197 +v -0.7139 7.0774 0.5125 +v -0.7553 7.1694 0.5018 +v -0.7277 7.0927 0.5246 +v -0.8433 7.1895 0.3933 +v -0.7596 7.2760 0.5591 +v -0.7133 6.9817 0.5758 +v -0.7651 7.1198 0.4601 +v -0.7665 7.0903 0.4715 +v -0.7588 6.9551 0.4975 +v -0.8356 7.1406 0.3948 +v -0.8560 7.2816 0.4393 +v -0.7345 7.1335 0.6016 +v -0.7341 7.1541 0.5151 +v -0.7374 7.1070 0.5410 +v -0.7427 7.1649 0.5116 +v -0.7402 7.0839 0.5095 +v -0.8609 7.2220 0.3992 +v -0.7473 6.9465 0.5254 +v -0.8118 7.0747 0.4087 +v -0.8216 7.0956 0.4030 +v -0.7519 7.2345 0.5848 +v -0.7895 7.0232 0.4372 +v -0.7742 7.2938 0.5415 +v -0.7161 7.0153 0.5872 +v -0.7361 7.1424 0.4947 +v -0.7520 7.1175 0.5074 +v -0.7314 7.1254 0.4987 +v -0.7572 7.1056 0.5133 +v -0.7512 7.0941 0.5161 +v -0.7523 7.1114 0.5282 +v -0.7432 7.1213 0.4749 +v -0.7504 7.1108 0.4803 +v -0.7484 7.1405 0.4764 +v -0.7656 7.0978 0.4803 +v -0.7610 7.0850 0.4854 +v -0.7599 7.1024 0.5012 +v -0.7549 7.0920 0.5051 +v -0.7297 7.1302 0.5112 +v -0.7521 7.1233 0.5227 +v -0.7330 7.1458 0.5048 +v -0.7457 7.0973 0.5259 +v -0.7422 7.1413 0.4856 +v -0.7509 7.1136 0.4958 +v -0.7355 7.1225 0.4871 +v -0.7572 7.1378 0.4682 +v -0.7561 7.1087 0.4697 +v -0.7523 7.1206 0.4674 +v -0.7635 7.1013 0.4907 +v -0.7581 7.0895 0.4944 +v -0.7193 7.0959 0.5843 +v -0.7714 6.9922 0.4746 +v -0.7556 7.2570 0.5480 +v -0.8409 7.1817 0.4106 +v -0.7364 6.9848 0.5463 +v -0.7383 7.1872 0.5782 +v -0.8370 7.2465 0.4321 +v -0.8174 7.0973 0.4123 +v -0.8103 7.0789 0.4162 +v -0.7663 7.2745 0.5292 +v -0.6985 7.0682 0.5785 +v -0.7890 7.0343 0.4442 +v -0.7440 7.2174 0.5684 +v -0.6822 7.0400 0.5712 +v -0.8378 7.2173 0.4164 +v -0.7481 6.9746 0.5258 +v -0.7350 7.1256 0.5878 +v -0.8182 7.2694 0.4517 +v -0.8303 7.1344 0.4070 +v -0.7613 6.9782 0.4998 +v -0.6819 7.0150 0.5616 +v -0.8160 7.2763 0.4878 +v -0.7412 7.1567 0.5865 +v -0.7983 7.0515 0.4313 +v -0.7603 7.1650 0.3903 +v -0.7966 7.3072 0.4397 +v -0.7739 7.3232 0.4868 +v -0.7466 7.0992 0.4005 +v -0.7065 7.0453 0.6631 +v -0.7008 6.9657 0.6492 +v -0.8046 7.2823 0.4097 +v -0.7964 7.2514 0.3992 +v -0.7122 6.8928 0.6269 +v -0.7278 6.8229 0.5791 +v -0.7058 6.8698 0.4887 +v -0.6993 6.9424 0.4820 +v -0.7098 7.1212 0.6763 +v -0.7115 7.1913 0.6809 +v -0.7104 6.9839 0.4567 +v -0.7279 7.3134 0.6133 +v -0.7203 7.2832 0.6455 +v -0.7847 7.2124 0.3902 +v -0.7335 7.3259 0.5839 +v -0.7407 7.3221 0.5440 +v -0.7137 6.8396 0.5200 +v -0.7294 7.0550 0.4210 +v -0.7148 7.2444 0.6682 +v -0.7175 7.0272 0.4364 +v -0.7054 7.1693 0.3865 +v -0.7374 7.3125 0.4435 +v -0.6820 7.1006 0.3947 +v -0.7036 7.0500 0.6915 +v -0.7361 7.2546 0.4039 +v -0.6904 6.8783 0.6416 +v -0.6538 6.8940 0.4989 +v -0.7081 7.2287 0.7093 +v -0.7263 7.3590 0.6186 +v -0.7309 7.3662 0.5311 +v -0.6718 7.0520 0.4073 +v -0.7325 7.3479 0.4668 +v -0.6970 6.9594 0.6723 +v -0.7380 7.2867 0.4201 +v -0.6952 6.8252 0.5854 +v -0.6511 6.9297 0.4734 +v -0.7078 7.1400 0.7061 +v -0.6578 6.9691 0.4480 +v -0.7185 7.3321 0.6586 +v -0.7239 7.2201 0.3929 +v -0.7310 7.3694 0.5817 +v -0.6691 6.8585 0.5442 +v -0.7128 7.2911 0.6885 +v -0.6668 7.0124 0.4247 +v -1.9709 -7.8625 1.4860 +v -1.8277 -7.8671 1.4594 +v -1.7769 -8.0143 1.4217 +v -2.0140 -8.0439 1.5000 +v -1.8403 -8.1247 1.3959 +v -1.9350 -8.1288 1.4534 +v -1.7824 -7.9251 1.4333 +v -2.0059 -7.9210 1.4962 +v -1.7996 -8.0861 1.3967 +v -1.9691 -8.0889 1.4763 +v -1.9690 -7.8433 1.4363 +v -1.8188 -7.8379 1.4052 +v -1.7541 -8.0015 1.3613 +v -2.0085 -8.0331 1.4808 +v -1.8229 -8.1316 1.3440 +v -1.9503 -8.1462 1.4020 +v -1.7637 -7.9086 1.3743 +v -2.0070 -7.8841 1.4561 +v -1.7866 -8.0869 1.3521 +v -1.9830 -8.1209 1.4388 +v -1.9928 -7.8182 1.3410 +v -1.8121 -7.8173 1.3286 +v -1.7399 -7.9842 1.2814 +v -2.0143 -8.0281 1.4528 +v -1.8032 -8.1355 1.2769 +v -1.9998 -8.1676 1.3656 +v -1.7588 -7.8860 1.3069 +v -2.0283 -7.8823 1.4121 +v -1.7649 -8.0786 1.2728 +v -2.0086 -8.1281 1.4133 +v -2.2007 -7.8958 1.6539 +v -2.1052 -7.8865 1.6580 +v -2.0712 -7.9943 1.6003 +v -2.2306 -8.0155 1.6027 +v -2.1240 -8.0867 1.5705 +v -2.1656 -8.0865 1.5703 +v -2.0853 -7.9230 1.6374 +v -2.2264 -7.9526 1.6349 +v -2.0918 -8.0578 1.5834 +v -2.2021 -8.0610 1.5832 +v -2.2038 -7.8816 1.5988 +v -2.1062 -7.8665 1.6015 +v -2.0726 -7.9829 1.5792 +v -2.2273 -8.0101 1.5772 +v -2.1219 -8.0883 1.5507 +v -2.1626 -8.0870 1.5497 +v -2.0855 -7.9165 1.5976 +v -2.2251 -7.9429 1.6008 +v -2.0905 -8.0574 1.5628 +v -2.1986 -8.0594 1.5601 +v -2.1881 -7.8864 1.5500 +v -2.1173 -7.8755 1.5493 +v -2.0729 -7.9749 1.5579 +v -2.2166 -8.0082 1.5509 +v -2.1180 -8.0918 1.5396 +v -2.1598 -8.0909 1.5340 +v -2.0935 -7.9030 1.5524 +v -2.2098 -7.9373 1.5481 +v -2.0867 -8.0619 1.5475 +v -2.1923 -8.0622 1.5358 +v -2.1769 -7.8856 1.4792 +v -2.1125 -7.8735 1.4760 +v -2.0563 -7.9759 1.5166 +v -2.2099 -8.0159 1.4984 +v -2.1034 -8.1125 1.4778 +v -2.1530 -8.1150 1.4678 +v -2.0907 -7.8838 1.4846 +v -2.1996 -7.9344 1.4881 +v -2.0672 -8.1008 1.4877 +v -2.1928 -8.0846 1.4788 +v -2.1644 -8.0850 1.5836 +v -2.2048 -8.0626 1.6037 +v -2.2292 -8.0195 1.6243 +v -2.1843 -7.9067 1.6834 +v -2.1957 -7.9034 -0.5165 +v -2.1249 -8.0855 1.5847 +v -2.1191 -7.8974 1.6869 +v -2.0945 -7.9293 1.6678 +v -2.0748 -7.9976 1.6356 +v -2.2234 -7.9565 1.6563 +v -2.0906 -8.0578 1.6113 +v -2.1786 -7.8788 1.4426 +v -2.1100 -7.8677 1.4379 +v -2.0484 -7.9844 1.5023 +v -2.2084 -8.0204 1.4816 +v -2.2036 -7.7878 -0.4863 +v -2.0968 -8.1299 1.4434 +v -2.1544 -8.1289 1.4341 +v -2.0835 -7.8777 1.4533 +v -2.1969 -7.9265 1.4656 +v -2.0581 -8.1125 1.4666 +v -2.1830 -8.0966 1.4526 +v -2.1944 -7.8554 1.3518 +v -2.0838 -7.8435 1.3603 +v -2.0342 -7.9984 1.4653 +v -2.2064 -8.0020 1.4559 +v -2.1947 -7.6705 -0.4520 +v -2.0613 -8.1565 1.3788 +v -2.1724 -8.1109 1.3724 +v -2.0537 -7.8863 1.4184 +v -2.2108 -7.8973 1.4083 +v -2.0339 -8.1232 1.4135 +v -2.2013 -8.0729 1.4257 +v -2.2855 -7.9592 1.7267 +v -2.2573 -8.0122 1.7766 +v -2.3671 -8.0049 1.7720 +v -2.3415 -7.9500 1.7312 +v -2.2658 -7.9834 1.7881 +v -2.3614 -7.9789 1.7890 +v -2.3382 -7.9653 1.7401 +v -2.2929 -7.9624 1.7380 +v -2.2385 -8.0541 1.6926 +v -2.3845 -8.0564 1.6882 +v -2.3479 -7.9372 1.6989 +v -2.2840 -7.9387 1.6962 +v -2.2435 -8.0451 1.7519 +v -2.3463 -7.9411 1.7116 +v -2.3804 -8.0427 1.7424 +v -2.2832 -7.9443 1.7079 +v -2.2909 -8.0360 1.8061 +v -2.2908 -7.9989 1.8159 +v -2.2774 -8.1157 1.6976 +v -2.2792 -8.0775 1.7719 +v -2.3433 -8.0744 1.7722 +v -2.3323 -7.9946 1.8201 +v -2.3436 -8.1178 1.6934 +v -2.3376 -8.0304 1.8076 +v -2.2788 -7.9746 1.7898 +v -2.3464 -7.9737 1.7873 +v -2.3379 -7.9689 1.7436 +v -2.2967 -7.9667 1.7420 +v -2.2915 -7.9819 1.8130 +v -2.3332 -7.9817 1.8134 +v -2.3826 -8.0513 1.6482 +v -2.2863 -7.9327 1.6752 +v -2.3523 -7.9367 1.6754 +v -2.2438 -8.0538 1.6628 +v -2.2832 -8.1196 1.6409 +v -2.3428 -8.1186 1.6323 +v -2.2590 -7.9792 1.7303 +v -2.3710 -7.9778 1.7391 +v -2.2710 -7.9729 1.7410 +v -2.3635 -7.9769 1.7488 +v -2.2461 -7.9959 1.6920 +v -2.3865 -7.9980 1.6921 +v -2.3833 -7.9969 1.7138 +v -2.2493 -7.9818 1.7187 +v -2.3565 -7.9735 1.7501 +v -2.2793 -7.9695 1.7490 +v -2.3871 -7.9958 1.6702 +v -2.2488 -7.9953 1.6732 +v -2.3557 -8.0212 1.7915 +v -2.2713 -7.9919 1.7985 +v -2.2468 -8.0843 1.6943 +v -2.3687 -8.0556 1.7548 +v -2.2663 -8.0300 1.7877 +v -2.2532 -8.0606 1.7545 +v -2.3545 -7.9855 1.8034 +v -2.3700 -8.0844 1.6895 +v -2.2812 -7.9776 1.7983 +v -2.3429 -7.9740 1.7981 +v -2.2533 -8.0880 1.6512 +v -2.3696 -8.0835 1.6366 +v -2.3684 -7.9136 1.6045 +v -2.2764 -7.9022 1.6089 +v -2.2467 -8.0255 1.5783 +v -2.3837 -8.0219 1.5673 +v -2.2877 -8.0941 1.5512 +v -2.3341 -8.0950 1.5468 +v -2.2497 -7.9626 1.5953 +v -2.3846 -7.9635 1.5924 +v -2.2572 -8.0654 1.5604 +v -2.3695 -8.0732 1.5551 +v -2.3671 -7.9148 1.5549 +v -2.2753 -7.8955 1.5595 +v -2.2473 -8.0226 1.5565 +v -2.3854 -8.0151 1.5420 +v -2.2876 -8.0906 1.5383 +v -2.3328 -8.0916 1.5325 +v -2.2504 -7.9542 1.5646 +v -2.3852 -7.9547 1.5619 +v -2.2556 -8.0617 1.5464 +v -2.3689 -8.0719 1.5369 +v -2.3520 -7.9040 1.5196 +v -2.2878 -7.8959 1.5198 +v -2.2503 -8.0219 1.5336 +v -2.3835 -8.0138 1.5179 +v -2.2876 -8.0873 1.5281 +v -2.3308 -8.0904 1.5199 +v -2.2537 -7.9529 1.5271 +v -2.3790 -7.9508 1.5216 +v -2.2548 -8.0620 1.5350 +v -2.3673 -8.0737 1.5170 +v -2.3409 -7.9093 1.4290 +v -2.2778 -7.8984 1.4390 +v -2.2456 -8.0254 1.4928 +v -2.3741 -8.0246 1.4467 +v -2.2851 -8.1114 1.4618 +v -2.3230 -8.1063 1.4572 +v -2.2509 -7.9446 1.4639 +v -2.3620 -7.9452 1.4358 +v -2.2502 -8.0757 1.4921 +v -2.3557 -8.0888 1.4514 +v -2.3322 -8.0989 1.5599 +v -2.3684 -8.0741 1.5769 +v -2.3812 -8.0290 1.5871 +v -2.3550 -7.9238 1.6323 +v -2.2887 -8.0982 1.5638 +v -2.2877 -7.9143 1.6339 +v -2.2503 -7.9753 1.6172 +v -2.2484 -8.0338 1.6029 +v -2.3828 -7.9723 1.6111 +v -2.2586 -8.0704 1.5771 +v -2.3366 -7.9042 1.3990 +v -2.2771 -7.8893 1.4083 +v -2.2403 -8.0223 1.4760 +v -2.3786 -8.0269 1.4303 +v -2.2791 -8.1273 1.4296 +v -2.3252 -8.1249 1.4075 +v -2.2498 -7.9349 1.4449 +v -2.3607 -7.9432 1.4113 +v -2.2525 -8.0829 1.4725 +v -2.3613 -8.0844 1.4127 +v -2.3361 -7.8887 1.3289 +v -2.2625 -7.8681 1.3395 +v -2.2313 -8.0018 1.4542 +v -2.3764 -8.0122 1.4007 +v -2.2530 -8.1466 1.3738 +v -2.3340 -8.1461 1.3270 +v -2.2421 -7.9063 1.4014 +v -2.3672 -7.9235 1.3563 +v -2.2422 -8.0739 1.4243 +v -2.3688 -8.0892 1.3714 +v -2.4268 -7.9705 1.6041 +v -2.4074 -8.0093 1.6399 +v -2.5061 -7.9954 1.6315 +v -2.4818 -7.9696 1.6053 +v -2.4138 -7.9914 1.6441 +v -2.4994 -7.9876 1.6351 +v -2.4809 -7.9782 1.6104 +v -2.4292 -7.9780 1.6093 +v -2.3901 -8.0435 1.5731 +v -2.5255 -8.0399 1.5631 +v -2.4917 -7.9619 1.5768 +v -2.4199 -7.9631 1.5777 +v -2.3905 -8.0437 1.6067 +v -2.4891 -7.9653 1.5882 +v -2.5253 -8.0211 1.6036 +v -2.4218 -7.9648 1.5880 +v -2.4256 -8.0244 1.6694 +v -2.4311 -8.0056 1.6684 +v -2.4221 -8.1298 1.5549 +v -2.4306 -8.0903 1.6460 +v -2.4995 -8.0832 1.6382 +v -2.4833 -8.0057 1.6661 +v -2.4972 -8.1198 1.5586 +v -2.4914 -8.0275 1.6645 +v -2.4209 -7.9888 1.6436 +v -2.4906 -7.9874 1.6360 +v -2.4771 -7.9784 1.6167 +v -2.4309 -7.9813 1.6160 +v -2.4387 -7.9955 1.6623 +v -2.4754 -7.9936 1.6608 +v -2.5224 -8.0443 1.5335 +v -2.4196 -7.9598 1.5631 +v -2.4945 -7.9568 1.5635 +v -2.3937 -8.0454 1.5442 +v -2.4290 -8.1216 1.5029 +v -2.4981 -8.1113 1.5017 +v -2.4082 -7.9902 1.6099 +v -2.4992 -7.9800 1.6111 +v -2.4161 -7.9854 1.6162 +v -2.4934 -7.9824 1.6165 +v -2.3948 -7.9932 1.5786 +v -2.5228 -7.9954 1.5709 +v -2.5157 -7.9933 1.5888 +v -2.3928 -7.9973 1.5932 +v -2.4877 -7.9839 1.6269 +v -2.4221 -7.9857 1.6243 +v -2.5217 -7.9955 1.5520 +v -2.3974 -7.9904 1.5648 +v -2.5027 -8.0094 1.6498 +v -2.4183 -7.9987 1.6589 +v -2.3965 -8.0851 1.5602 +v -2.5247 -8.0461 1.6230 +v -2.4119 -8.0183 1.6580 +v -2.4049 -8.0684 1.6322 +v -2.4971 -7.9985 1.6524 +v -2.5202 -8.0781 1.5607 +v -2.4221 -7.9908 1.6560 +v -2.4914 -7.9891 1.6509 +v -2.4088 -8.0964 1.5163 +v -2.5197 -8.0802 1.5191 +v -2.5047 -7.9332 1.4794 +v -2.4166 -7.9267 1.4825 +v -2.3926 -8.0352 1.4550 +v -2.5268 -8.0269 1.4549 +v -2.4335 -8.1070 1.4375 +v -2.4941 -8.1003 1.4317 +v -2.4028 -7.9685 1.4709 +v -2.5174 -7.9718 1.4759 +v -2.4060 -8.0821 1.4402 +v -2.5212 -8.0611 1.4428 +v -2.5062 -7.9223 1.4500 +v -2.4156 -7.9101 1.4477 +v -2.3934 -8.0355 1.4412 +v -2.5307 -8.0182 1.4296 +v -2.4360 -8.1100 1.4261 +v -2.4956 -8.0991 1.4221 +v -2.4018 -7.9697 1.4430 +v -2.5193 -7.9641 1.4433 +v -2.4042 -8.0790 1.4305 +v -2.5258 -8.0554 1.4195 +v -2.4951 -7.9255 1.4127 +v -2.4271 -7.9174 1.4164 +v -2.3948 -8.0354 1.4274 +v -2.5351 -8.0185 1.4086 +v -2.4365 -8.1119 1.4162 +v -2.4912 -8.1043 1.4119 +v -2.4054 -7.9558 1.4249 +v -2.5136 -7.9594 1.4128 +v -2.4059 -8.0904 1.4176 +v -2.5256 -8.0559 1.4086 +v -2.4951 -7.9343 1.3433 +v -2.4301 -7.9122 1.3539 +v -2.3974 -8.0383 1.4029 +v -2.5310 -8.0201 1.3557 +v -2.4304 -8.1233 1.3758 +v -2.4889 -8.1149 1.3593 +v -2.4019 -7.9466 1.3798 +v -2.5156 -7.9730 1.3455 +v -2.4070 -8.1044 1.3824 +v -2.5169 -8.0802 1.3574 +v -2.4955 -8.1077 1.4743 +v -2.5180 -8.0726 1.4845 +v -2.5190 -8.0359 1.4962 +v -2.4938 -7.9441 1.5111 +v -2.4329 -8.1139 1.4725 +v -2.4252 -7.9382 1.5105 +v -2.4038 -7.9763 1.5138 +v -2.3999 -8.0437 1.4921 +v -2.5123 -7.9771 1.5158 +v -2.4114 -8.0983 1.4715 +v -2.4961 -7.9368 1.3100 +v -2.4298 -7.9046 1.3222 +v -2.3964 -8.0448 1.3928 +v -2.5282 -8.0272 1.3347 +v -2.4256 -8.1367 1.3459 +v -2.4887 -8.1296 1.3297 +v -2.4022 -7.9481 1.3638 +v -2.5179 -7.9753 1.3174 +v -2.4054 -8.1083 1.3703 +v -2.5106 -8.1020 1.3261 +v -2.4902 -7.8953 1.2537 +v -2.4167 -7.8985 1.2728 +v -2.3855 -8.0195 1.3897 +v -2.5263 -8.0292 1.3086 +v -2.3935 -8.1519 1.3071 +v -2.4912 -8.1388 1.2557 +v -2.3997 -7.9234 1.3378 +v -2.5193 -7.9376 1.2699 +v -2.3831 -8.0863 1.3564 +v -2.5125 -8.1201 1.2832 +v -2.5526 -7.9770 1.3181 +v -2.6632 -7.9821 1.2654 +v -2.5698 -8.1061 1.2988 +v -2.6600 -8.0830 1.2684 +v -2.5766 -7.9234 1.2980 +v -2.6371 -7.9360 1.2726 +v -2.5490 -8.0411 1.3279 +v -2.6729 -8.0398 1.2660 +v -2.5486 -7.9746 1.2986 +v -2.6719 -7.9823 1.2221 +v -2.5571 -8.1138 1.2819 +v -2.6507 -8.1085 1.2323 +v -2.5699 -7.9185 1.2738 +v -2.6487 -7.9324 1.2321 +v -2.5398 -8.0381 1.3111 +v -2.6815 -8.0544 1.2223 +v -2.5436 -7.9373 1.2584 +v -2.6942 -7.9876 1.1593 +v -2.5410 -8.1232 1.2705 +v -2.6370 -8.1250 1.1728 +v -2.5655 -7.9097 1.2172 +v -2.6622 -7.9290 1.1625 +v -2.5342 -8.0291 1.3057 +v -2.6921 -8.0598 1.1552 +v -2.3165 -7.9240 1.6776 +v -1.9625 -8.0230 1.9074 +v -1.9625 -8.0646 1.8934 +v -1.9553 -8.1305 1.8360 +v -1.9407 -8.1440 1.7730 +v -1.9227 -8.1516 1.6508 +v -1.9141 -8.1535 1.6090 +v -1.9107 -8.1389 1.5800 +v -1.9050 -8.1254 1.5533 +v -1.8876 -8.1268 1.4231 +v -1.8866 -8.1389 1.3696 +v -1.9015 -8.1516 1.3181 +v -1.9272 -7.8717 1.6184 +v -1.9320 -7.8766 1.6422 +v -1.9366 -7.8986 1.6869 +v -1.9615 -8.0070 1.8995 +v -1.9421 -7.9220 1.7268 +v -1.9394 -7.9067 1.7037 +v -1.9423 -7.9339 1.7340 +v -1.9569 -7.9943 1.8855 +v -1.9445 -7.9459 1.7464 +v -1.9527 -7.9590 1.7952 +v -1.9557 -7.9816 1.8747 +v -1.9091 -7.7643 1.2985 +v -1.9079 -7.8146 1.4226 +v -1.9250 -7.8557 1.5609 +v -1.9139 -7.8357 1.4811 +v -1.9271 -7.8655 1.5926 +v -1.9908 -7.6341 1.0591 +v -1.9189 -7.6667 1.0476 +v -2.2239 -7.7375 1.0445 +v -2.1680 -7.7090 1.0565 +v -2.4164 -7.7802 0.9912 +v -2.3654 -7.7764 1.0148 +v -2.6459 -7.8729 0.9421 +v -2.5917 -7.8229 0.9570 +v -2.5268 -7.8049 0.9716 +v -2.6910 -7.9688 0.9493 +v -2.6974 -8.0369 0.9389 +v -2.4652 -7.7856 0.9829 +v -2.3186 -7.7698 1.0319 +v -2.2704 -7.7485 1.0360 +v -2.1139 -7.6891 1.0604 +v -2.0563 -7.6767 1.0593 +v -1.9808 -7.5730 0.9008 +v -1.9267 -7.6257 0.8945 +v -2.2032 -7.6099 0.8578 +v -2.1540 -7.5918 0.8632 +v -2.3860 -7.6540 0.7908 +v -2.3320 -7.6517 0.8189 +v -2.5567 -7.7889 0.6867 +v -2.5376 -7.7422 0.7135 +v -2.4858 -7.6828 0.7410 +v -2.6124 -7.8594 0.6745 +v -2.6491 -7.9615 0.6614 +v -2.4353 -7.6648 0.7669 +v -2.2892 -7.6402 0.8387 +v -2.2515 -7.6294 0.8484 +v -2.0962 -7.5719 0.8701 +v -2.0354 -7.5607 0.8911 +v -2.1875 -7.9970 -0.4949 +v -1.9725 -7.4927 0.6889 +v -1.9269 -7.5515 0.6788 +v -2.1877 -7.4618 0.6804 +v -2.1310 -7.4394 0.6830 +v -2.1933 -8.0729 -0.4506 +v -2.3670 -7.4987 0.5968 +v -2.3261 -7.4927 0.6317 +v -2.5476 -7.7052 0.4285 +v -2.4539 -7.5548 0.4858 +v -2.6076 -7.8495 0.3700 +v -2.4118 -7.5178 0.5467 +v -2.2825 -7.4874 0.6550 +v -2.2374 -7.4818 0.6718 +v -2.0684 -7.4331 0.6832 +v -2.0128 -7.4539 0.6909 +v -1.9487 -7.4536 0.5100 +v -2.1722 -7.3249 0.5414 +v -2.1164 -7.3123 0.5187 +v -2.3644 -7.3667 0.4543 +v -2.3219 -7.3537 0.5078 +v -2.5992 -7.4858 -0.0776 +v -2.5023 -7.3706 -0.1650 +v -2.4890 -7.4180 0.2635 +v -2.5788 -7.7661 0.4010 +v -2.5891 -7.7808 0.1434 +v -2.4283 -7.3780 0.3860 +v -2.2743 -7.3491 0.5263 +v -2.2233 -7.3437 0.5359 +v -2.0524 -7.3172 0.4829 +v -1.9763 -7.3804 0.5070 +v -1.8579 -7.7460 1.0164 +v -1.8138 -7.8303 0.9971 +v -1.8140 -8.0417 0.9861 +v -1.8020 -7.9369 0.9843 +v -1.8737 -7.7002 0.8652 +v -1.8363 -7.7787 0.8455 +v -1.8521 -7.9689 0.7973 +v -1.8228 -7.8871 0.8146 +v -1.8746 -7.6327 0.6620 +v -1.8528 -7.7190 0.6368 +v -1.8901 -7.8879 0.5799 +v -1.8499 -7.8111 0.6092 +v -1.8732 -7.7062 0.4626 +v -1.9092 -7.8741 0.4052 +v -1.8883 -7.7763 0.4387 +v -2.6677 -8.1053 0.9392 +v -2.4672 -8.1236 0.9660 +v -2.5952 -8.1444 0.9429 +v -2.5257 -8.1330 0.9543 +v -2.6501 -8.0419 0.6536 +v -2.4929 -8.1099 0.6523 +v -2.6129 -8.0878 0.6517 +v -2.5627 -8.1179 0.6495 +v -2.6217 -7.9306 0.3453 +v -2.5208 -8.1197 0.3412 +v -2.6112 -8.0032 0.3266 +v -2.6012 -8.0771 0.3081 +v -2.5915 -7.8717 0.1143 +v -2.5430 -8.0960 0.0752 +v -2.5900 -7.9501 0.0940 +v -2.5789 -8.0266 0.0796 +v -1.9462 -8.1227 1.0238 +v -2.0359 -8.1458 1.0385 +v -2.1174 -8.1391 1.0458 +v -2.1953 -8.1292 1.0381 +v -2.2902 -8.1194 1.0259 +v -2.3521 -8.1170 1.0069 +v -2.4116 -8.1184 0.9853 +v -1.8650 -8.0852 1.0063 +v -2.5518 -7.2550 -0.0590 +v -2.0967 -8.0447 0.5098 +v -2.1754 -8.0662 0.4857 +v -2.2541 -8.0853 0.4465 +v -2.3235 -8.1082 0.4136 +v -1.9389 -7.9603 0.5498 +v -1.9933 -8.0353 0.7656 +v -2.0759 -8.0642 0.7627 +v -2.1653 -8.0657 0.7546 +v -2.2357 -8.0750 0.7315 +v -2.3090 -8.0880 0.7090 +v -1.8966 -8.0236 0.7608 +v -2.4419 -8.0954 -0.3583 +v -2.4889 -7.9808 -0.3890 +v -2.5041 -7.8889 -0.3597 +v -2.4641 -8.0505 -0.3825 +v -1.9439 -7.8783 -0.3204 +v -1.9502 -7.9997 -0.3539 +v -1.9739 -8.0805 -0.3130 +v -1.9064 -7.8427 -0.1129 +v -1.8958 -7.9591 -0.1312 +v -1.9294 -8.0249 -0.1119 +v -1.9231 -7.8639 0.0892 +v -1.9292 -7.9623 0.0847 +v -2.0606 -7.9029 -0.4716 +v -2.2902 -8.0592 -0.4482 +v -2.2986 -7.9875 -0.4888 +v -2.3137 -7.8973 -0.4901 +v -2.0787 -8.0794 -0.4088 +v -2.0677 -7.9988 -0.4523 +v -2.4043 -7.9819 -0.4683 +v -2.4218 -7.8918 -0.4499 +v -2.3836 -8.0513 -0.4319 +v -1.9161 -7.7691 0.1000 +v -1.9266 -7.5299 0.5006 +v -1.9006 -7.6121 0.4843 +v -2.3402 -7.5633 -0.4156 +v -2.3325 -7.3341 -0.3762 +v -2.3374 -7.4353 -0.3925 +v -2.3397 -7.6765 -0.4396 +v -2.3309 -7.7878 -0.4649 +v -2.4482 -7.5746 -0.3398 +v -1.9325 -7.0309 0.0941 +v -2.4349 -7.4680 -0.2905 +v -2.4433 -7.6832 -0.3842 +v -2.4361 -7.7869 -0.4128 +v -2.4887 -7.5865 -0.2348 +v -0.1519 -0.4101 0.4262 +v -2.5053 -7.6895 -0.2909 +v -2.5110 -7.7885 -0.3331 +v -1.9129 -7.2489 0.1469 +v -1.9094 -7.6757 0.1190 +v -1.9092 -7.5677 0.1379 +v -1.9020 -7.4593 0.1504 +v -1.8947 -7.3513 0.1555 +v -1.9220 -7.3675 -0.0066 +v -1.9185 -7.7264 -0.0840 +v -1.9079 -7.2543 -0.0020 +v -1.9444 -7.4909 -0.0254 +v -1.9241 -7.6064 -0.0505 +v -1.9877 -7.2750 -0.1590 +v -1.9959 -7.3878 -0.1731 +v -1.9555 -7.7610 -0.2856 +v -1.9708 -7.6357 -0.2429 +v -1.9904 -7.5123 -0.2032 +v -2.1891 -7.4056 -0.3927 +v -2.0630 -7.5271 -0.3315 +v -2.0494 -7.6515 -0.3760 +v -2.0447 -7.7755 -0.4200 +v -2.0706 -7.3977 -0.2948 +v -2.0711 -7.2895 -0.2771 +v -2.1922 -7.3060 -0.3807 +v -2.0140 -7.0442 0.3148 +v -2.4600 -7.0931 -0.1604 +v -2.4271 -7.3595 -0.2668 +v -2.3137 -7.1118 -0.3552 +v -2.0413 -7.0639 -0.2657 +v -1.9714 -7.0507 -0.1632 +v -2.1683 -7.0942 -0.3555 +v -1.9223 -7.0391 -0.0336 +v -2.3950 -7.1079 -0.2711 +v -2.3725 -7.2379 0.3729 +v -2.1539 -7.2058 0.4559 +v -2.1969 -7.5578 -0.4262 +v -2.4944 -7.2583 0.1990 +v -2.5949 -7.4860 0.0731 +v -1.9246 -7.1450 -0.0136 +v -2.1963 -7.2069 -0.3705 +v -2.4989 -7.2531 -0.1654 +v -2.4236 -7.2451 -0.2631 +v -2.3342 -7.2291 -0.3599 +v -2.0707 -7.1818 -0.2692 +v -2.5786 -7.5893 0.0507 +v -2.0481 -7.1735 0.3843 +v -2.1047 -7.1890 0.4233 +v -1.9308 -7.1384 0.1236 +v -2.2077 -7.2221 0.4576 +v -2.2627 -7.2304 0.4430 +v -2.3145 -7.2321 0.4271 +v -1.9908 -7.1635 -0.1574 +v -2.4336 -7.2468 0.3079 +v -2.5244 -7.5288 0.2351 +v -0.0917 -0.4048 0.4388 +v -2.5032 -7.4794 -0.1823 +v -0.2070 -0.5121 0.3923 +v -0.2475 -0.6195 0.3723 +v -0.2955 -0.7557 0.3575 +v -0.3558 -0.9063 0.3416 +v -0.4216 -1.0760 0.3285 +v -0.4887 -1.2869 0.3173 +v -0.5626 -1.5721 0.3026 +v -0.7323 -2.2674 0.3143 +v -0.8347 -2.6515 0.3235 +v -0.9306 -3.0281 0.3391 +v -0.9930 -3.2814 0.3491 +v -1.0181 -3.4494 0.3332 +v -1.0393 -3.6036 0.3149 +v -1.0544 -3.7604 0.2976 +v -1.0986 -3.9261 0.2733 +v -1.1959 -4.1048 0.2385 +v -1.2725 -4.3101 0.1906 +v -1.3081 -4.5455 0.1650 +v -1.3509 -4.7874 0.1358 +v -1.4233 -5.0421 0.1127 +v -1.5226 -5.3152 0.0980 +v -1.6291 -5.6107 0.0832 +v -1.7132 -5.9514 0.0955 +v -2.4399 -6.3693 0.0514 +v -1.8221 -6.4074 0.1145 +v -1.9402 -6.8572 0.1619 +v -2.5170 -8.1002 -0.0961 +v -2.5757 -8.0415 -0.1078 +v -2.6025 -7.9679 -0.1017 +v -2.5857 -7.7831 -0.0298 +v -2.6058 -7.8795 -0.0741 +v -1.9103 -7.8080 0.2691 +v -1.9215 -7.9097 0.2462 +v -1.8933 -7.7231 0.2867 +v -1.8887 -7.6171 0.3073 +v -1.8861 -7.5209 0.3200 +v -1.9101 -7.4356 0.3229 +v -1.9520 -7.2575 0.2902 +v -1.9333 -7.3514 0.3141 +v 0.0000 -0.4194 0.4260 +v -1.9485 -7.0280 0.2028 +v -1.9658 -7.1425 0.2441 +v -2.5546 -7.6138 0.2119 +v -2.4301 -8.1051 0.6657 +v -2.3709 -8.1007 0.6852 +v -2.5391 -7.5928 -0.0989 +v -2.5614 -7.7007 0.1790 +v -2.5011 -7.6293 0.4520 +v -2.5718 -7.3787 0.0853 +v -2.5418 -7.6897 -0.1359 +v -2.5548 -7.6962 0.0137 +v -2.5645 -7.7829 -0.1896 +v -2.5714 -7.8883 -0.2315 +v -2.5582 -7.9834 -0.2611 +v -2.5275 -8.0539 -0.2621 +v -2.4784 -8.1050 -0.2436 +v -2.4514 -8.1287 0.3615 +v -2.3882 -8.1200 0.3850 +v -2.4653 -8.1310 0.0925 +v -2.3227 -8.1316 0.1586 +v -1.9501 -7.9637 0.3678 +v -2.3970 -8.1436 0.1142 +v -2.2151 -8.1331 -0.3749 +v -2.0131 -8.1329 -0.2076 +v -1.9812 -8.0285 0.0901 +v -2.2993 -8.1216 -0.3936 +v -2.0912 -8.1399 -0.3310 +v -2.3786 -8.1085 -0.3861 +v -1.9565 -7.9946 0.2240 +v -2.1579 -8.1568 -0.1565 +v -2.0731 -8.1499 -0.1003 +v -1.9715 -8.0913 -0.0706 +v -2.4132 -8.1207 -0.2442 +v -2.2611 -8.1528 -0.2022 +v -2.3318 -8.1436 -0.2224 +v -2.3811 -8.1460 -0.0614 +v -2.4518 -8.1235 -0.0791 +v -2.1278 -8.1241 0.0696 +v -2.2021 -8.1445 0.0189 +v -2.3017 -8.1526 -0.0305 +v -2.0545 -8.0743 0.1272 +v -2.0137 -8.0294 0.2256 +v -2.1519 -7.9278 1.7560 +v -2.1542 -7.9406 1.7803 +v -2.1538 -7.9478 1.7953 +v -2.3115 -8.0837 1.7813 +v -2.3105 -8.1168 1.6955 +v -2.3155 -8.0350 1.8142 +v -2.4634 -8.1164 1.4368 +v -2.4626 -8.1236 1.4694 +v -2.4636 -8.1164 1.5023 +v -2.4532 -7.9818 1.6300 +v -2.1528 -8.1004 1.6737 +v -2.1446 -8.0853 1.5841 +v -2.1448 -8.0866 1.5704 +v -2.1423 -8.0877 1.5499 +v -2.1567 -8.0412 1.9045 +v -2.1509 -8.0980 1.8696 +v -2.1500 -8.1214 1.7437 +v -2.4597 -8.1248 1.5568 +v -2.3119 -7.9362 1.6976 +v -2.3112 -7.9414 1.7099 +v -2.4589 -7.9156 1.4841 +v -2.4620 -7.9033 1.4501 +v -2.4626 -7.9058 1.4155 +v -2.4631 -8.0932 1.6484 +v -2.4598 -8.0306 1.6667 +v -2.3092 -8.0889 1.5241 +v -2.2990 -7.8725 1.3077 +v -2.3092 -7.8859 1.3916 +v -2.3109 -7.8877 1.4238 +v -2.4625 -7.9015 1.3054 +v -2.4516 -7.8820 1.2367 +v -2.4417 -8.1579 1.2510 +v -2.3164 -7.8841 1.5183 +v -2.4554 -7.9543 1.5904 +v -2.4558 -7.9486 1.5802 +v -2.4571 -7.9421 1.5667 +v -2.4671 -7.9110 1.3444 +v -2.4581 -8.0068 1.6674 +v -2.1515 -7.8671 1.5470 +v -2.1548 -7.8597 1.5994 +v -2.1530 -7.8749 1.6594 +v -2.1515 -7.8902 1.6860 +v -2.1564 -7.9545 1.8106 +v -2.1566 -7.9599 1.8160 +v -2.1570 -7.9661 1.8237 +v -2.1578 -7.9733 1.8395 +v -2.5622 -8.1408 1.2005 +v -2.5882 -8.1288 1.2522 +v -2.4617 -8.1180 1.4242 +v -2.3124 -7.9546 1.7291 +v -2.1353 -7.8316 1.3227 +v -2.1412 -7.8619 1.4270 +v -2.1440 -7.8698 1.4725 +v -2.3130 -8.1190 1.6366 +v -2.4571 -7.9945 1.6616 +v -2.4549 -7.9897 1.6529 +v -2.4536 -7.9860 1.6422 +v -2.3173 -7.8842 1.5569 +v -2.3175 -7.8957 1.6087 +v -2.3180 -7.9072 1.6361 +v -2.1576 -7.9830 1.8765 +v -2.1596 -7.9932 1.8956 +v -2.1587 -8.0080 1.8990 +v -2.1574 -8.0182 1.9082 +v -2.1389 -8.0913 1.5366 +v -2.1282 -8.1138 1.4725 +v -2.1262 -8.1295 1.4378 +v -2.1298 -8.1638 1.3089 +v -2.4544 -7.9780 1.6175 +v -2.4551 -7.9694 1.6139 +v -2.4543 -7.9628 1.6062 +v -2.3105 -8.0986 1.5618 +v -2.3108 -8.0946 1.5490 +v -2.3102 -8.0911 1.5354 +v -2.6105 -7.9069 1.2482 +v -2.3145 -7.9738 1.7861 +v -2.3126 -7.9820 1.8145 +v -2.3142 -7.9996 1.8208 +v -2.4557 -7.9311 1.5145 +v -2.6094 -7.9083 1.2833 +v -2.6069 -8.1139 1.2748 +v -2.4628 -8.1185 1.4157 +v -2.4575 -8.1146 1.3679 +v -2.4557 -8.1438 1.3370 +v -2.2834 -8.1538 1.3117 +v -2.3021 -8.1261 1.4186 +v -2.3041 -8.1089 1.4596 +v -2.3146 -7.9755 1.7958 +v -2.3145 -7.9723 1.7565 +v -2.3124 -7.9676 1.7413 +v -2.3124 -7.9639 1.7367 +v -2.5635 -8.0029 1.4768 +v -2.5515 -8.0207 1.5206 +v -2.6423 -8.0125 1.5084 +v -2.6261 -7.9991 1.4708 +v -2.5597 -8.0149 1.5237 +v -2.6354 -8.0065 1.5125 +v -2.6223 -8.0002 1.4755 +v -2.5665 -8.0042 1.4805 +v -2.5280 -8.0460 1.4643 +v -2.6623 -8.0341 1.4552 +v -2.6320 -7.9827 1.4599 +v -2.5640 -7.9830 1.4653 +v -2.5378 -8.0525 1.5000 +v -2.6286 -7.9871 1.4665 +v -2.6549 -8.0326 1.4790 +v -2.5651 -7.9874 1.4728 +v -2.5726 -8.0369 1.5564 +v -2.5784 -8.0245 1.5524 +v -2.5684 -8.1196 1.4378 +v -2.5737 -8.0938 1.5174 +v -2.6422 -8.0822 1.5038 +v -2.6217 -8.0241 1.5482 +v -2.6471 -8.1000 1.4425 +v -2.6255 -8.0378 1.5473 +v -2.5653 -8.0091 1.5255 +v -2.6276 -8.0068 1.5130 +v -2.6182 -8.0022 1.4801 +v -2.5681 -8.0059 1.4840 +v -2.5800 -8.0158 1.5448 +v -2.6167 -8.0157 1.5383 +v -2.6643 -8.0367 1.4417 +v -2.5654 -7.9726 1.4561 +v -2.6342 -7.9771 1.4526 +v -2.5320 -8.0423 1.4433 +v -2.5713 -8.1219 1.4277 +v -2.6488 -8.0993 1.4318 +v -2.5556 -8.0123 1.4978 +v -2.6378 -8.0016 1.4894 +v -2.5602 -8.0095 1.5010 +v -2.6308 -8.0032 1.4932 +v -2.5339 -8.0092 1.4620 +v -2.6515 -8.0031 1.4579 +v -2.6495 -8.0091 1.4722 +v -2.5436 -8.0130 1.4829 +v -2.6255 -8.0031 1.4990 +v -2.5670 -8.0054 1.5040 +v -2.6537 -8.0019 1.4461 +v -2.5345 -8.0057 1.4521 +v -2.6424 -8.0242 1.5257 +v -2.5635 -8.0190 1.5388 +v -2.5395 -8.0794 1.4459 +v -2.6568 -8.0596 1.4915 +v -2.5559 -8.0294 1.5399 +v -2.5481 -8.0704 1.5098 +v -2.6356 -8.0131 1.5277 +v -2.6662 -8.0723 1.4488 +v -2.5703 -8.0125 1.5360 +v -2.6247 -8.0124 1.5265 +v -2.5405 -8.0833 1.4377 +v -2.6666 -8.0711 1.4341 +v -2.6316 -7.9570 1.4241 +v -2.5703 -7.9475 1.4221 +v -2.5393 -8.0328 1.4037 +v -2.6684 -8.0225 1.4059 +v -2.5705 -8.1234 1.3879 +v -2.6426 -8.0926 1.3852 +v -2.5443 -7.9852 1.4109 +v -2.6520 -7.9802 1.4177 +v -2.5460 -8.0789 1.3943 +v -2.6747 -8.0518 1.3984 +v -2.6426 -7.9426 1.4085 +v -2.5655 -7.9378 1.4011 +v -2.5433 -8.0314 1.3788 +v -2.6735 -8.0110 1.3858 +v -2.5706 -8.1134 1.3554 +v -2.6403 -8.0850 1.3554 +v -2.5477 -7.9821 1.3865 +v -2.6564 -7.9750 1.3995 +v -2.5495 -8.0730 1.3686 +v -2.6765 -8.0491 1.3726 +v -2.6445 -7.9415 1.3760 +v -2.5689 -7.9347 1.3692 +v -2.5447 -8.0319 1.3695 +v -2.6781 -8.0132 1.3696 +v -2.5739 -8.1106 1.3482 +v -2.6395 -8.0839 1.3443 +v -2.5498 -7.9740 1.3701 +v -2.6592 -7.9668 1.3760 +v -2.5524 -8.0738 1.3585 +v -2.6774 -8.0502 1.3656 +v -2.6381 -7.9291 1.3444 +v -2.5779 -7.9310 1.3389 +v -2.5465 -8.0329 1.3582 +v -2.6759 -8.0126 1.3433 +v -2.5771 -8.1036 1.3378 +v -2.6405 -8.0820 1.3373 +v -2.5501 -7.9746 1.3539 +v -2.6610 -7.9640 1.3443 +v -2.5562 -8.0757 1.3469 +v -2.6785 -8.0483 1.3471 +v -2.6503 -8.0970 1.4215 +v -2.6683 -8.0663 1.4249 +v -2.6632 -8.0320 1.4307 +v -2.6323 -7.9640 1.4395 +v -2.5732 -8.1230 1.4177 +v -2.5657 -7.9621 1.4419 +v -2.5378 -7.9993 1.4346 +v -2.5356 -8.0410 1.4293 +v -2.6523 -7.9905 1.4338 +v -2.5432 -8.0867 1.4251 +v -2.6129 -8.1213 1.3860 +v -2.6056 -8.1306 1.4123 +v -2.6043 -8.1285 1.4221 +v -2.5914 -8.0033 1.5038 +v -2.6040 -8.1267 1.4291 +v -2.5992 -7.9466 1.4267 +v -2.6041 -7.9426 1.4045 +v -2.6070 -7.9312 1.3711 +v -2.6013 -8.0930 1.5165 +v -2.5977 -8.0437 1.5615 +v -2.5905 -7.9776 1.4678 +v -2.5917 -7.9707 1.4618 +v -2.5937 -7.9726 1.4529 +v -2.6093 -7.9204 1.3412 +v -2.5981 -8.0276 1.5533 +v -2.6066 -8.1128 1.3538 +v -2.5961 -8.0172 1.5434 +v -2.5956 -8.0096 1.5312 +v -2.5953 -8.0065 1.5192 +v -2.5919 -8.0034 1.4814 +v -2.5916 -8.0024 1.4766 +v -2.5903 -8.0009 1.4714 +v -2.5975 -7.9626 1.4401 +v -2.6062 -8.1093 1.3438 +v -2.6027 -8.1081 1.3371 +v -2.6138 -7.8950 1.1723 +v -2.5813 -8.1052 1.3060 +v -2.6009 -8.1070 1.2975 +v -1.7710 -7.9606 1.1328 +v -1.7847 -7.8622 1.1556 +v -2.7019 -8.0513 1.0654 +v -2.7033 -7.9826 1.0673 +v -2.6648 -7.9250 1.0739 +v -1.8274 -7.7807 1.1683 +v -1.9109 -7.7124 1.1982 +v -1.9927 -7.7394 1.1981 +v -2.0687 -7.7674 1.2135 +v -2.1270 -7.7746 1.2097 +v -2.1779 -7.7900 1.2119 +v -2.2385 -7.8122 1.1982 +v -2.2870 -7.8330 1.1769 +v -2.3333 -7.8516 1.1660 +v -2.3938 -7.8432 1.1448 +v -2.4381 -7.8353 1.1243 +v -2.4845 -7.8592 1.1130 +v -2.6489 -8.1132 1.0778 +v -2.5739 -8.1374 1.0933 +v -1.7894 -8.0602 1.1295 +v -1.8341 -8.1104 1.1416 +v -1.9239 -8.1372 1.1709 +v -2.0179 -8.1567 1.1988 +v -2.0920 -8.1476 1.2141 +v -2.5088 -8.1355 1.1151 +v -2.4590 -8.1263 1.1318 +v -2.3945 -8.1491 1.1624 +v -2.3466 -8.1280 1.1764 +v -2.2794 -8.1297 1.1992 +v -2.1534 -8.1571 1.1999 +v -2.5581 -7.8638 1.0969 +v -2.6168 -7.8838 1.0781 +v -2.0300 -8.1131 -0.0239 +v -0.9295 -1.7316 0.9443 +v -0.7741 -1.8171 0.7429 +v -0.6882 -1.8784 0.5241 +v -0.6529 -1.9099 0.3042 +v -0.6527 -1.9151 0.0874 +v -0.7115 -1.8851 -0.1063 +v -0.8093 -1.8250 -0.2887 +v -0.9692 -1.7193 -0.4254 +v -1.1560 -1.6059 -0.5100 +v -1.3770 -1.5032 -0.5154 +v -1.6167 -1.4332 -0.4163 +v -1.7875 -1.3892 -0.2340 +v -1.8854 -1.3846 0.0284 +v -1.9393 -1.3871 0.2742 +v -1.9793 -1.3764 0.5141 +v -1.9684 -1.3794 0.7593 +v -1.8622 -1.4079 0.9667 +v -1.6858 -1.4594 1.1147 +v -1.4136 -1.5387 1.1274 +v -1.1629 -1.6309 1.0822 +v -0.3112 7.3315 1.4040 +v -0.3490 7.3309 1.3983 +v -0.4385 7.2930 1.3556 +v -0.4343 7.3011 1.3614 +v -0.4287 7.3075 1.3664 +v -0.4104 7.3179 1.3778 +v -0.3833 7.3250 1.3900 +v -0.2723 7.3235 1.4007 +v -0.1851 7.2669 1.3746 +v -0.1970 7.2598 1.3673 +v -0.2123 7.2560 1.3723 +v -0.1934 7.2802 1.3747 +v -0.2018 7.2875 1.3795 +v -0.1847 7.2740 1.3768 +v -0.4248 7.2676 1.3613 +v -0.2424 7.2487 1.3858 +v -0.2760 7.2434 1.3936 +v -0.2116 7.2952 1.3827 +v -0.3114 7.2398 1.3999 +v -0.2353 7.3097 1.3898 +v -0.3519 7.2408 1.3967 +v -0.3848 7.2478 1.3835 +v -0.4071 7.2569 1.3739 +v -0.4342 7.2750 1.3509 +v -0.4377 7.2824 1.3492 +v -0.4394 7.2875 1.3509 +v -0.2244 7.2529 1.3785 +v -0.4296 7.2711 1.3557 +v 0.3492 7.3299 1.4076 +v 0.3110 7.3315 1.4107 +v 0.3481 7.3465 1.4062 +v 0.3095 7.3456 1.4117 +v 0.3487 7.3574 1.4039 +v 0.3080 7.3566 1.4103 +v 0.3835 7.3242 1.4009 +v 0.3849 7.3413 1.3972 +v 0.3886 7.3508 1.3930 +v 0.4099 7.3169 1.3895 +v 0.4154 7.3310 1.3850 +v 0.4230 7.3390 1.3777 +v 0.4279 7.3066 1.3788 +v 0.4363 7.3188 1.3727 +v 0.4462 7.3246 1.3650 +v 0.4337 7.3008 1.3734 +v 0.4473 7.3085 1.3624 +v 0.4582 7.3114 1.3514 +v 0.4385 7.2937 1.3653 +v 0.4521 7.2991 1.3548 +v 0.4638 7.3001 1.3420 +v 0.4394 7.2874 1.3580 +v 0.4531 7.2897 1.3462 +v 0.4645 7.2899 1.3358 +v 0.4367 7.2823 1.3550 +v 0.4513 7.2810 1.3462 +v 0.4631 7.2784 1.3355 +v 0.4336 7.2755 1.3562 +v 0.4463 7.2714 1.3465 +v 0.4584 7.2665 1.3339 +v 0.4249 7.2677 1.3656 +v 0.4313 7.2544 1.3572 +v 0.4422 7.2435 1.3469 +v 0.4086 7.2570 1.3768 +v 0.4142 7.2427 1.3697 +v 0.4237 7.2315 1.3630 +v 0.3865 7.2481 1.3873 +v 0.3927 7.2332 1.3822 +v 0.3976 7.2201 1.3774 +v 0.3597 7.2113 1.3915 +v 0.3536 7.2243 1.3969 +v 0.3519 7.2406 1.4016 +v 0.3161 7.2096 1.4009 +v 0.3097 7.2215 1.3981 +v 0.3109 7.2395 1.4046 +v 0.2708 7.2133 1.3995 +v 0.2696 7.2240 1.3978 +v 0.2760 7.2434 1.3986 +v 0.2322 7.2216 1.3934 +v 0.2332 7.2327 1.3932 +v 0.2410 7.2478 1.3915 +v 0.1856 7.2391 1.3849 +v 0.1937 7.2438 1.3837 +v 0.2100 7.2549 1.3795 +v 0.2725 7.3227 1.4055 +v 0.2682 7.3372 1.4082 +v 0.2655 7.3477 1.4080 +v 0.2353 7.3097 1.3949 +v 0.2303 7.3232 1.4012 +v 0.2265 7.3319 1.4044 +v 0.2093 7.2945 1.3918 +v 0.2016 7.3061 1.3992 +v 0.1964 7.3135 1.4020 +v 0.1817 7.2799 1.3835 +v 0.1740 7.2840 1.3989 +v 0.1678 7.2859 1.4006 +v 0.1752 7.2736 1.3807 +v 0.1676 7.2761 1.3942 +v 0.1612 7.2762 1.3998 +v 0.1757 7.2671 1.3781 +v 0.1651 7.2673 1.3918 +v 0.1583 7.2656 1.3982 +v 0.1846 7.2588 1.3761 +v 0.1675 7.2576 1.3887 +v 0.1602 7.2545 1.3936 +v 0.4442 7.1992 1.3345 +v 0.4129 7.1829 1.3539 +v 0.3698 7.1722 1.3779 +v 0.3179 7.1697 1.3913 +v 0.2625 7.1760 1.3983 +v 0.2145 7.1901 1.3934 +v 0.1632 7.2214 1.3891 +v 0.4636 7.3308 1.3402 +v 0.4784 7.3149 1.3273 +v 0.4841 7.3014 1.3195 +v 0.4865 7.2885 1.3154 +v 0.4867 7.2742 1.3131 +v 0.4841 7.2563 1.3099 +v 0.4668 7.2202 1.3182 +v 0.3502 7.3738 1.3999 +v 0.3059 7.3734 1.4073 +v 0.3950 7.3657 1.3825 +v 0.4351 7.3502 1.3646 +v 0.2593 7.3638 1.4106 +v 0.2157 7.3477 1.4120 +v 0.1821 7.3289 1.4127 +v 0.1484 7.2937 1.4117 +v 0.1422 7.2787 1.4114 +v 0.1409 7.2631 1.4091 +v 0.1454 7.2447 1.3996 +v 0.1850 7.2941 1.3984 +v 0.1788 7.2987 1.4006 +v 0.1952 7.2848 1.3878 +v 0.1603 7.3103 1.4108 +v 0.1293 7.2967 1.4247 +v 0.1230 7.2788 1.4229 +v 0.1225 7.2601 1.4202 +v 0.1299 7.2378 1.4160 +v 0.1424 7.3165 1.4256 +v 0.1055 7.3001 1.4449 +v 0.0994 7.2784 1.4428 +v 0.1003 7.2567 1.4412 +v 0.1089 7.2300 1.4365 +v 0.1185 7.3232 1.4463 +v 0.0812 7.3069 1.4700 +v 0.0757 7.2801 1.4686 +v 0.0780 7.2537 1.4677 +v 0.0886 7.2217 1.4606 +v 0.0925 7.3326 1.4701 +v 0.0645 7.1705 1.5077 +v 0.0550 7.3120 1.4910 +v 0.0515 7.2837 1.4905 +v 0.0546 7.2526 1.4908 +v 0.0666 7.2112 1.4883 +v 0.0635 7.3397 1.4918 +v 0.0332 7.1876 1.5278 +v 0.0285 7.3178 1.5032 +v 0.0271 7.2876 1.5044 +v 0.0286 7.2574 1.5094 +v 0.0320 7.2270 1.5145 +v 0.0325 7.3464 1.5046 +v 0.4629 7.1764 1.3244 +v 0.4293 7.1566 1.3512 +v 0.3800 7.1439 1.3790 +v 0.3206 7.1429 1.4010 +v 0.2588 7.1514 1.4109 +v 0.2058 7.1688 1.4096 +v 0.1493 7.2102 1.4061 +v 0.4751 7.3375 1.3299 +v 0.4933 7.3189 1.3127 +v 0.5023 7.3029 1.3045 +v 0.5057 7.2873 1.2995 +v 0.5062 7.2697 1.2954 +v 0.5048 7.2491 1.2949 +v 0.4867 7.2021 1.3059 +v 0.3519 7.3856 1.4022 +v 0.3021 7.3866 1.4130 +v 0.4008 7.3749 1.3820 +v 0.4443 7.3569 1.3554 +v 0.2503 7.3772 1.4203 +v 0.2023 7.3590 1.4248 +v 0.1654 7.3380 1.4262 +v 0.5241 7.3044 1.2854 +v 0.5140 7.3239 1.2961 +v 0.4922 7.3462 1.3167 +v 0.1712 6.9974 1.4719 +v 0.0630 7.0869 1.5560 +v 0.0341 7.0978 1.5712 +v 0.1407 7.3489 1.4460 +v 0.1115 7.3603 1.4700 +v 0.0780 7.3703 1.4932 +v 0.0382 7.3767 1.5049 +v 0.3522 7.4063 1.4055 +v 0.2928 7.4090 1.4238 +v 0.4086 7.3923 1.3801 +v 0.4578 7.3693 1.3463 +v 0.2324 7.3982 1.4402 +v 0.1783 7.3762 1.4482 +v 0.3500 7.4301 1.4111 +v 0.2774 7.4333 1.4379 +v 0.4139 7.4161 1.3779 +v 0.4688 7.3916 1.3399 +v 0.2048 7.4222 1.4612 +v 0.1485 7.3935 1.4693 +v 0.1297 7.1108 1.4680 +v 0.4495 7.1260 1.3467 +v 0.2034 6.9603 1.4628 +v 0.5289 7.2854 1.2797 +v 0.5301 7.2637 1.2749 +v 0.5283 7.2387 1.2727 +v 0.5485 7.3092 1.2618 +v 0.5349 7.3362 1.2779 +v 0.5087 7.3639 1.3054 +v 0.3942 7.1108 1.3816 +v 0.4303 7.0406 1.3772 +v 0.5543 7.2842 1.2539 +v 0.5579 7.2557 1.2486 +v 0.5538 7.2253 1.2462 +v 0.5333 7.1598 1.2713 +v 0.1577 6.9774 1.4854 +v 0.0897 7.0410 1.5597 +v 0.0637 7.0525 1.5817 +v 0.0367 7.0608 1.5991 +v 0.1146 7.0251 1.5359 +v 0.1811 6.9431 1.4736 +v 0.3400 7.4636 1.4197 +v 0.2558 7.4685 1.4553 +v 0.4149 7.4468 1.3788 +v 0.4771 7.4194 1.3337 +v 0.1615 7.4572 1.4891 +v 0.1063 7.4100 1.4934 +v 0.5678 7.3179 1.2363 +v 0.5501 7.3521 1.2581 +v 0.5244 7.3859 1.2923 +v 0.4954 7.0618 1.3262 +v 0.0974 7.1406 1.4862 +v 0.5758 7.2838 1.2229 +v 0.5823 7.2474 1.2170 +v 0.5814 7.2108 1.2177 +v 0.5599 7.1351 1.2453 +v 0.5278 7.0229 1.2994 +v 0.0493 7.4194 1.5109 +v 0.3373 7.5016 1.4232 +v 0.2494 7.5124 1.4654 +v 0.4188 7.4819 1.3766 +v 0.4833 7.4515 1.3256 +v 0.1703 8.1089 1.3046 +v 0.0682 7.4647 1.5153 +v 0.3382 7.5411 1.4241 +v 0.2470 7.5533 1.4692 +v 0.4230 7.5184 1.3726 +v 0.4918 7.4836 1.3153 +v 0.1537 7.5145 1.5027 +v 0.0669 7.5153 1.5215 +v 0.1475 7.5580 1.5072 +v 0.0636 7.5578 1.5258 +v 0.3787 7.7833 1.3533 +v 0.2693 7.8177 1.4145 +v 0.4891 7.7355 1.2824 +v 0.5776 7.6691 1.1867 +v 0.1581 7.7103 1.4952 +v 0.0601 7.7176 1.5103 +v 0.4233 7.9395 1.2634 +v 0.2970 7.9828 1.3317 +v 0.5406 7.8719 1.1777 +v 0.6219 7.7734 1.0755 +v 0.1623 7.8373 1.4528 +v 0.0614 7.8478 1.4683 +v 0.5859 7.3265 1.2062 +v 0.5645 7.3710 1.2353 +v 0.5340 7.4121 1.2771 +v 0.5999 7.2851 1.1877 +v 0.6036 7.2411 1.1786 +v 0.6041 7.1961 1.1802 +v 0.5864 7.1073 1.2137 +v 0.6000 7.3369 1.1691 +v 0.5766 7.3882 1.2082 +v 0.5411 7.4381 1.2573 +v 0.6163 7.2857 1.1434 +v 0.6675 7.3927 0.9465 +v 0.6492 7.4938 1.0074 +v 0.6246 7.5836 1.0922 +v 0.6829 7.2872 0.9030 +v 0.6905 7.1870 0.8833 +v 0.6879 7.0890 0.8745 +v 0.6613 6.9044 0.9022 +v 0.6802 7.5466 0.9105 +v 0.6671 7.6650 0.9799 +v 0.6872 7.7052 0.9211 +v 0.0872 6.8778 1.6197 +v 0.0788 6.8862 1.6365 +v 0.0884 6.9178 1.6368 +v 0.0959 6.9671 1.6192 +v 0.0945 6.9913 1.6037 +v 0.0938 7.0160 1.5862 +v 0.1224 6.9827 1.5822 +v 0.1150 7.0033 1.5569 +v 0.1590 6.9502 1.5261 +v 0.1592 6.9636 1.5117 +v 0.1705 6.9265 1.5018 +v 0.0806 6.8130 1.5317 +v 0.1394 6.8387 1.5004 +v 0.1360 6.8975 1.5808 +v 0.1645 6.8614 1.4846 +v 0.0664 7.0244 1.6078 +v 0.0369 7.0300 1.6221 +v 0.0674 6.9707 1.6438 +v 0.0348 6.9707 1.6595 +v 0.0589 6.9167 1.6614 +v 0.0295 6.9138 1.6740 +v 0.0645 6.8610 1.6160 +v 0.0543 6.8607 1.6252 +v 0.0520 6.8851 1.6553 +v 0.0267 6.8828 1.6633 +v 0.0524 6.8462 1.5955 +v 0.0429 6.8396 1.6025 +v 0.0380 6.8600 1.6294 +v 0.0198 6.8565 1.6344 +v 0.0520 6.8310 1.5753 +v 0.0429 6.8234 1.5770 +v 0.0289 6.8351 1.6014 +v 0.0151 6.8304 1.6038 +v 0.0577 6.8206 1.5522 +v 0.0534 6.8064 1.5529 +v 0.0266 6.8159 1.5762 +v 0.0125 6.8110 1.5740 +v 0.1582 6.8652 1.5081 +v 0.1545 6.8867 1.5472 +v 0.1300 6.8468 1.5104 +v 0.1217 6.8712 1.5804 +v 0.1292 6.8845 1.5809 +v 0.1458 6.8725 1.5537 +v 0.1383 6.8643 1.5579 +v 0.1395 6.8588 1.5234 +v 0.1512 6.8558 1.5226 +v 0.0878 6.8705 1.6079 +v 0.0701 6.8608 1.6082 +v 0.0557 6.8528 1.5889 +v 0.0575 6.8394 1.5716 +v 0.0629 6.8328 1.5510 +v 0.0816 6.8281 1.5333 +v 0.1147 6.8247 1.5118 +v 0.1137 6.8360 1.5145 +v 0.1145 6.9187 1.6104 +v 0.1584 6.8999 1.5424 +v 0.1687 6.8810 1.5072 +v 0.1226 6.9613 1.5938 +v 0.1606 6.9375 1.5347 +v 0.1694 6.9232 1.5139 +v 0.0306 6.7987 1.5627 +v 0.0139 6.7923 1.5677 +v 0.1227 6.8527 1.5189 +v 0.1105 6.8754 1.5650 +v 0.1265 6.8671 1.5518 +v 0.1263 6.8633 1.5292 +v 0.0834 6.8718 1.5892 +v 0.0719 6.8678 1.5885 +v 0.0601 6.8636 1.5793 +v 0.0575 6.8521 1.5634 +v 0.0665 6.8417 1.5483 +v 0.0818 6.8383 1.5350 +v 0.1095 6.8441 1.5203 +v 0.0719 6.7401 1.5606 +v 0.0459 6.7328 1.5767 +v 0.0177 6.7243 1.5742 +v 0.1509 6.8366 1.4881 +v 0.0824 6.8000 1.5334 +v 0.1191 6.8080 1.5131 +v 0.2714 6.5934 1.4105 +v 0.2427 6.6597 1.4614 +v 0.1012 6.8830 1.6111 +v 0.0983 6.8722 1.6011 +v 0.0972 6.8700 1.5868 +v 0.1078 6.8985 1.6121 +v 0.2662 6.6353 1.4323 +v 0.2745 6.6089 1.4133 +v 0.1889 6.5242 1.4650 +v 0.2293 6.5555 1.4342 +v 0.2121 6.7520 1.4771 +v 0.2515 6.5730 1.4189 +v 0.2083 6.7215 1.4830 +v 0.2087 6.6897 1.4875 +v 0.2499 6.7048 1.4565 +v 0.2454 6.6823 1.4611 +v 0.2731 6.6485 1.4294 +v 0.2880 6.6087 1.4086 +v 0.2886 6.5836 1.4023 +v 0.1123 6.8622 1.5318 +v 0.1041 6.8724 1.5641 +v 0.1139 6.8699 1.5486 +v 0.1180 6.8663 1.5360 +v 0.0863 6.8735 1.5791 +v 0.0805 6.8718 1.5752 +v 0.0729 6.8685 1.5694 +v 0.0718 6.8621 1.5571 +v 0.0794 6.8554 1.5450 +v 0.0881 6.8510 1.5367 +v 0.1014 6.8563 1.5318 +v 0.0945 6.8736 1.5739 +v 0.0970 6.8722 1.5567 +v 0.1050 6.8686 1.5441 +v 0.0892 6.8736 1.5666 +v 0.0856 6.8685 1.5537 +v 0.0930 6.8636 1.5421 +v 0.0820 6.8713 1.5625 +v 0.2605 6.5474 1.4121 +v 0.2348 6.5269 1.4279 +v 0.1917 6.5040 1.4544 +v 0.2668 6.6089 1.4153 +v 0.2640 6.5973 1.4128 +v 0.2484 6.5809 1.4202 +v 0.2280 6.5663 1.4363 +v 0.1865 6.5429 1.4728 +v 0.2599 6.6281 1.4354 +v 0.2391 6.6458 1.4619 +v 0.1091 6.7162 1.5654 +v 0.1787 6.6870 1.5235 +v 0.2108 6.6670 1.4958 +v 0.2343 6.6355 1.4617 +v 0.2069 6.6549 1.4962 +v 0.2296 6.6289 1.4632 +v 0.2025 6.6447 1.4964 +v 0.2209 6.6155 1.4585 +v 0.1906 6.6245 1.4879 +v 0.2117 6.6149 1.4488 +v 0.1846 6.6147 1.4854 +v 0.2073 6.6171 1.4402 +v 0.1728 6.6165 1.4685 +v 0.2589 6.6096 1.4172 +v 0.2565 6.6022 1.4118 +v 0.2538 6.6208 1.4374 +v 0.2528 6.6087 1.4196 +v 0.2528 6.6048 1.4139 +v 0.2466 6.6167 1.4373 +v 0.2463 6.6094 1.4174 +v 0.2464 6.6078 1.4142 +v 0.2335 6.6131 1.4352 +v 0.2428 6.6108 1.4115 +v 0.2439 6.6095 1.4072 +v 0.2273 6.6132 1.4314 +v 0.2409 6.6143 1.3990 +v 0.2441 6.6120 1.3935 +v 0.2221 6.6167 1.4227 +v 0.2107 6.6062 1.4261 +v 0.2117 6.6017 1.4370 +v 0.2197 6.5879 1.4440 +v 0.2240 6.5787 1.4421 +v 0.2426 6.5891 1.4230 +v 0.2379 6.5951 1.4249 +v 0.2312 6.6041 1.4211 +v 0.2294 6.6068 1.4117 +v 0.2313 6.6077 1.3948 +v 0.2174 6.6082 1.4041 +v 0.1782 6.6749 1.5289 +v 0.1755 6.6645 1.5267 +v 0.1626 6.6307 1.5184 +v 0.0515 6.7093 1.5955 +v 0.1105 6.7010 1.5703 +v 0.1088 6.6885 1.5729 +v 0.1045 6.6418 1.5566 +v 0.0224 6.6983 1.5975 +v 0.0799 6.7186 1.5853 +v 0.0806 6.7047 1.5880 +v 0.0803 6.6946 1.5905 +v 0.0770 6.6413 1.5657 +v 0.0532 6.6957 1.5957 +v 0.0533 6.6840 1.5955 +v 0.0500 6.6352 1.5722 +v 0.0230 6.6839 1.5992 +v 0.0233 6.6742 1.5981 +v 0.0198 6.6295 1.5775 +v 0.1560 6.6146 1.5163 +v 0.1014 6.6133 1.5452 +v 0.0761 6.6127 1.5452 +v 0.0466 6.6114 1.5488 +v 0.0215 6.6095 1.5497 +v 0.1638 6.6063 1.4586 +v 0.1724 6.5999 1.4789 +v 0.1824 6.5773 1.4785 +v 0.1837 6.5617 1.4765 +v 0.1297 6.4750 1.4831 +v 0.1296 6.5135 1.5116 +v 0.1107 6.6043 1.5170 +v 0.1151 6.5928 1.5173 +v 0.1234 6.5648 1.5253 +v 0.1277 6.5406 1.5168 +v 0.0534 6.4615 1.5001 +v 0.0571 6.4953 1.5417 +v 0.0508 6.6011 1.5345 +v 0.0511 6.5899 1.5419 +v 0.0528 6.5544 1.5535 +v 0.0544 6.5296 1.5489 +v 0.1960 6.6324 1.4904 +v 0.2243 6.6214 1.4612 +v 0.2391 6.6143 1.4354 +v 0.2494 6.6089 1.4192 +v 0.2490 6.6067 1.4168 +v 0.2148 6.5957 1.4419 +v 0.2339 6.6002 1.4251 +v 0.1680 6.6470 1.5218 +v 0.1061 6.6645 1.5641 +v 0.0785 6.6660 1.5776 +v 0.0515 6.6581 1.5828 +v 0.0214 6.6509 1.5860 +v 0.1786 6.5903 1.4819 +v 0.1196 6.5797 1.5248 +v 0.0517 6.5710 1.5529 +v 0.0734 6.6198 1.5117 +v 0.0949 6.6198 1.5073 +v 0.1437 6.6183 1.4834 +v 0.0508 6.6061 1.5312 +v 0.1044 6.6070 1.5077 +v 0.1587 6.6097 1.4430 +v 0.0190 6.6182 1.5076 +v 0.0423 6.6183 1.5080 +v 0.2060 6.6242 1.4296 +v 0.1667 6.6268 1.4544 +v 0.2419 6.6201 1.3812 +v 0.2496 6.6150 1.3739 +v 0.2188 6.6233 1.4103 +v 0.2395 6.6060 1.3714 +v 0.2122 6.6045 1.3880 +v 0.0726 6.6296 1.5043 +v 0.0932 6.6295 1.4988 +v 0.1419 6.6290 1.4737 +v 0.0552 6.6022 1.5105 +v 0.0960 6.6069 1.4920 +v 0.1800 6.6042 1.4117 +v 0.0181 6.6293 1.5068 +v 0.0432 6.6290 1.5065 +v 0.1935 6.6473 1.4142 +v 0.1564 6.6530 1.4395 +v 0.2469 6.6278 1.3634 +v 0.2560 6.6169 1.3576 +v 0.2095 6.6433 1.3952 +v 0.2293 6.5900 1.3595 +v 0.2008 6.5821 1.3712 +v 0.0641 6.6646 1.4964 +v 0.0863 6.6632 1.4847 +v 0.1293 6.6608 1.4602 +v 0.0638 6.5879 1.4881 +v 0.1087 6.5914 1.4663 +v 0.1714 6.5851 1.3907 +v 0.0156 6.6555 1.5042 +v 0.0386 6.6610 1.5013 +v 0.1866 6.6875 1.4128 +v 0.1537 6.6972 1.4363 +v 0.2483 6.6469 1.3563 +v 0.2608 6.6206 1.3457 +v 0.2064 6.6797 1.3937 +v 0.2287 6.5644 1.3518 +v 0.1979 6.5513 1.3674 +v 0.0613 6.7079 1.4968 +v 0.0826 6.7088 1.4842 +v 0.1253 6.7047 1.4592 +v 0.0618 6.5454 1.4851 +v 0.1158 6.5529 1.4541 +v 0.1658 6.5508 1.3916 +v 0.0153 6.7031 1.5052 +v 0.0370 6.7051 1.5031 +v 0.1817 6.7275 1.4092 +v 0.1462 6.7360 1.4338 +v 0.2529 6.6678 1.3467 +v 0.2661 6.6258 1.3340 +v 0.2044 6.7166 1.3895 +v 0.2283 6.5462 1.3437 +v 0.1950 6.5272 1.3617 +v 0.0583 6.7531 1.4915 +v 0.0785 6.7523 1.4802 +v 0.1234 6.7486 1.4534 +v 0.0588 6.5076 1.4783 +v 0.1181 6.5138 1.4418 +v 0.1605 6.5210 1.3876 +v 0.0150 6.7470 1.4997 +v 0.0355 6.7511 1.4972 +v 0.1820 6.7751 1.3917 +v 0.1482 6.7900 1.4128 +v 0.2650 6.6940 1.3273 +v 0.2779 6.6315 1.3127 +v 0.2082 6.7604 1.3730 +v 0.2324 6.5199 1.3200 +v 0.1967 6.4905 1.3374 +v 0.0576 6.8087 1.4671 +v 0.0787 6.8088 1.4566 +v 0.1220 6.8004 1.4259 +v 0.0453 6.4514 1.4311 +v 0.1245 6.4617 1.3916 +v 0.1598 6.4756 1.3583 +v 0.0139 6.7987 1.4730 +v 0.0325 6.8049 1.4722 +v 0.1958 6.8384 1.3303 +v 0.1605 6.8586 1.3405 +v 0.2915 6.7249 1.2797 +v 0.3041 6.6441 1.2665 +v 0.2273 6.8172 1.3175 +v 0.2526 6.4990 1.2673 +v 0.2110 6.4574 1.2795 +v 0.0589 6.8865 1.3799 +v 0.0864 6.8853 1.3723 +v 0.1317 6.8717 1.3506 +v 0.0609 6.4006 1.3471 +v 0.1239 6.4239 1.3224 +v 0.1707 6.4336 1.2949 +v 0.0117 6.8728 1.3849 +v 0.0341 6.8815 1.3839 +v 0.2107 6.8989 1.2153 +v 0.1826 6.9165 1.2171 +v 0.3168 6.7538 1.1754 +v 0.3265 6.6590 1.1653 +v 0.2453 6.8739 1.2113 +v 0.2722 6.4891 1.1623 +v 0.2319 6.4651 1.1622 +v 0.0670 6.9602 1.2344 +v 0.0955 6.9582 1.2311 +v 0.1498 6.9338 1.2219 +v 0.0629 6.3950 1.1847 +v 0.1384 6.4141 1.1784 +v 0.1914 6.4407 1.1698 +v 0.0131 6.9423 1.2400 +v 0.0399 6.9540 1.2373 +v 0.2536 6.9334 1.0263 +v 0.2237 6.9525 1.0268 +v 0.3579 6.7824 1.0112 +v 0.3636 6.6746 1.0023 +v 0.2892 6.9064 1.0237 +v 0.2959 6.4890 1.0158 +v 0.2528 6.4658 1.0062 +v 0.0861 6.9937 1.0308 +v 0.1223 6.9938 1.0301 +v 0.1889 6.9669 1.0251 +v 0.0741 6.4084 1.0210 +v 0.1495 6.4225 1.0159 +v 0.2122 6.4361 1.0090 +v 0.0145 6.9713 1.0380 +v 0.0501 6.9853 1.0334 +v 0.2481 6.8989 0.8262 +v 0.2153 6.9194 0.8276 +v 0.3602 6.7525 0.8097 +v 0.3507 6.6645 0.8067 +v 0.2866 6.8691 0.8230 +v 0.2980 6.4903 0.8227 +v 0.2775 6.3915 0.8046 +v 0.0834 6.9559 0.8306 +v 0.1179 6.9555 0.8294 +v 0.1814 6.9308 0.8245 +v 0.0824 6.2380 0.6836 +v 0.1707 6.2753 0.7114 +v 0.2452 6.3224 0.7469 +v 0.0160 6.9401 0.8449 +v 0.0501 6.9500 0.8341 +v 0.2162 6.8013 0.6560 +v 0.1812 6.8158 0.6610 +v 0.3223 6.7000 0.6330 +v 0.3085 6.6440 0.6113 +v 0.2557 6.7802 0.6489 +v 0.2150 6.5227 0.6022 +v 0.2076 6.4366 0.6030 +v 0.0687 6.8409 0.6685 +v 0.0933 6.8406 0.6676 +v 0.1460 6.8211 0.6726 +v 0.0649 6.3166 0.6148 +v 0.1129 6.3387 0.6082 +v 0.1663 6.3775 0.6100 +v 0.0169 6.8296 0.6777 +v 0.0378 6.8363 0.6715 +v 0.1512 6.6758 0.5712 +v 0.1411 6.6967 0.5686 +v 0.2283 6.6487 0.5602 +v 0.2120 6.6136 0.5639 +v 0.1668 6.6692 0.5692 +v 0.1665 6.5672 0.5695 +v 0.1497 6.5491 0.5734 +v 0.0521 6.7037 0.5692 +v 0.0733 6.6881 0.5722 +v 0.1141 6.7036 0.5674 +v 0.0445 6.5182 0.5744 +v 0.0824 6.5298 0.5788 +v 0.1233 6.5326 0.5696 +v 0.0174 6.6840 0.5875 +v 0.0315 6.7010 0.5711 +v 0.2815 6.6644 1.4263 +v 0.3065 6.6044 1.3970 +v 0.2584 7.6950 1.4579 +v 0.3541 7.6680 1.4028 +v 0.4513 7.6307 1.3389 +v 0.5313 7.5811 1.2620 +v 0.6451 7.3655 1.0419 +v 0.6617 7.2822 1.0035 +v 0.6221 7.4458 1.0994 +v 0.5861 7.5163 1.1785 +v 0.1923 6.4724 1.4401 +v 0.1292 6.4472 1.4675 +v 0.0537 6.4311 1.4834 +v 0.3026 6.5761 1.3928 +v 0.0638 6.1680 1.3410 +v 0.1443 6.1869 1.3181 +v 0.1309 6.4115 1.4639 +v 0.2693 6.5259 1.4039 +v 0.2374 6.5013 1.4219 +v 0.0584 6.3945 1.4866 +v 0.1941 6.4353 1.4294 +v 0.5552 6.6510 1.0493 +v 0.6007 6.7262 0.9796 +v 0.5091 6.5107 1.0424 +v 0.5729 6.7387 0.6068 +v 0.5527 6.5791 0.7813 +v 0.5123 6.4917 0.8663 +v 0.4745 6.4321 0.9384 +v 0.4429 6.3880 1.0012 +v 0.3558 6.2998 1.1108 +v 0.0590 6.1675 1.2867 +v 0.4884 6.5532 0.6252 +v 0.1377 6.1857 1.2578 +v 0.5059 6.6051 0.5364 +v 0.4489 6.4929 0.5913 +v 0.4674 6.5281 0.5065 +v 0.4069 6.3838 0.5431 +v 0.4411 6.4271 0.4679 +v 0.4071 6.2480 0.4841 +v 0.4329 6.2985 0.4171 +v 0.4192 6.0961 0.4120 +v 0.4327 6.1222 0.3386 +v 0.4582 5.9302 0.3306 +v 0.4828 5.9669 0.2557 +v 0.5318 5.7939 0.2605 +v 0.5447 5.8062 0.1857 +v 0.4310 6.4330 0.7762 +v 0.4631 6.4903 0.7063 +v 0.3857 6.3902 0.7128 +v 0.4192 6.4340 0.6585 +v 0.3416 6.3137 0.6373 +v 0.3742 6.3577 0.5860 +v 0.3353 6.1829 0.5737 +v 0.3792 6.2132 0.5413 +v 0.3704 6.0409 0.5352 +v 0.3945 6.0668 0.4781 +v 0.4082 5.8940 0.4662 +v 0.4395 5.9111 0.4017 +v 0.4802 5.7613 0.3913 +v 0.5021 5.7730 0.3338 +v 0.4001 6.3906 0.8362 +v 0.2934 6.1560 0.5989 +v 0.3305 6.0164 0.5724 +v 0.3735 5.8714 0.5245 +v 0.4484 5.7350 0.4631 +v 0.0562 6.1744 1.1324 +v 0.1238 6.1969 1.0977 +v 0.3135 6.2867 0.9835 +v 0.0520 6.1791 1.0110 +v 0.1103 6.1937 0.9846 +v 0.2707 6.2766 0.8815 +v 0.0378 6.1645 0.8488 +v 0.0815 6.1726 0.8335 +v 0.2164 6.2046 0.7584 +v 0.0286 6.0729 0.7447 +v 0.1529 6.0866 0.7036 +v 0.0653 6.0764 0.7335 +v 0.1805 5.6504 0.7008 +v 0.1924 6.1019 0.6761 +v 0.0339 5.9333 0.7084 +v 0.1589 5.9601 0.6541 +v 0.0733 5.9356 0.6990 +v 0.1375 5.8042 0.6658 +v 0.2048 5.9697 0.6360 +v 0.0466 5.7833 0.6895 +v 0.1924 5.8107 0.6570 +v 0.0918 5.7879 0.6854 +v 0.1142 5.9453 0.6813 +v 0.2482 5.8235 0.6370 +v 0.0575 5.6310 0.6954 +v 0.2462 5.6667 0.6785 +v 0.1157 5.6458 0.6922 +v 0.1098 6.0787 0.7234 +v 0.3113 5.6740 0.6503 +v 0.4881 6.5739 0.3906 +v 0.4675 6.4780 0.3607 +v 0.4483 6.3518 0.3248 +v 0.4482 6.1629 0.2527 +v 0.4962 6.0001 0.1780 +v 0.5744 5.8344 0.1046 +v 0.4861 6.6045 0.2563 +v 0.4668 6.5086 0.2340 +v 0.4445 6.3874 0.2129 +v 0.4614 6.2110 0.1545 +v 0.4985 6.0347 0.0924 +v 0.5903 5.8862 0.0187 +v 0.4612 6.6199 0.1174 +v 0.4501 6.5290 0.1027 +v 0.4497 6.4130 0.0840 +v 0.4590 6.2487 0.0492 +v 0.4897 6.0744 -0.0012 +v 0.5660 5.9191 -0.0638 +v 0.4265 6.6300 -0.0071 +v 0.4218 6.5468 -0.0134 +v 0.4175 6.4332 -0.0252 +v 0.4217 6.2819 -0.0458 +v 0.4460 6.1030 -0.0847 +v 0.5111 5.9424 -0.1489 +v 0.3563 6.6424 -0.0856 +v 0.3475 6.5616 -0.0850 +v 0.3433 6.4480 -0.0888 +v 0.3438 6.2916 -0.1052 +v 0.3453 6.1060 -0.1438 +v 0.4087 5.9524 -0.2070 +v 0.2494 6.6588 -0.1257 +v 0.2393 6.5778 -0.1141 +v 0.2339 6.4691 -0.1099 +v 0.2362 6.3079 -0.1234 +v 0.2494 6.1072 -0.1680 +v 0.3024 5.9559 -0.2392 +v 0.7020 7.0583 0.7287 +v 0.7402 7.5018 0.4165 +v 0.5408 8.1168 0.0604 +v 0.4443 8.2145 0.0034 +v 0.7313 7.7319 0.2937 +v 0.6888 7.8574 0.2221 +v 0.7329 7.4072 0.4543 +v 0.6705 6.8377 0.6827 +v 0.7011 7.1751 0.7930 +v 0.6982 7.0655 0.7778 +v 0.6663 6.8461 0.7629 +v 0.6964 7.2945 0.8158 +v 0.6848 7.4204 0.8579 +v 0.7342 7.4420 0.5247 +v 0.7278 7.3739 0.3993 +v 0.7068 7.3033 0.3482 +v 0.6488 7.0933 0.3400 +v 0.6660 7.1544 0.3320 +v 0.6385 8.1058 0.3765 +v 0.4362 8.3577 0.3138 +v 0.5444 8.2459 0.3430 +v 0.3856 8.3294 0.9240 +v 0.5636 6.7716 0.5163 +v 0.5103 6.6522 0.4254 +v 0.5104 6.6980 0.2849 +v 0.4767 6.6956 0.1223 +v 0.4283 6.6982 -0.0024 +v 0.3500 6.7098 -0.0919 +v 0.2538 6.7217 -0.1330 +v 0.3553 6.3161 1.1560 +v 0.4581 6.4145 1.0499 +v 0.5005 6.4694 0.9891 +v 0.5378 6.5262 0.9089 +v 0.5796 6.6127 0.8261 +v 0.3415 7.5805 1.4212 +v 0.2912 6.4928 1.3829 +v 0.2483 6.4630 1.4034 +v 0.0374 7.0011 1.6434 +v 0.2948 6.7418 1.4282 +v 0.5352 7.0969 1.2808 +v 0.5630 7.0636 1.2505 +v 0.4860 7.1506 1.3137 +v 0.5093 7.1826 1.2903 +v 0.4706 7.0947 1.3384 +v 0.5080 7.1263 1.3006 +v 0.1678 7.0830 1.4551 +v 0.4110 7.0777 1.3870 +v 0.1176 7.1850 1.4415 +v 0.6320 6.8146 0.9334 +v 0.6072 6.7005 0.6967 +v 0.6364 6.7219 0.7674 +v 0.2158 6.2152 1.2170 +v 0.2231 6.2312 1.3031 +v 0.4562 6.4483 1.1001 +v 0.2907 6.2829 1.2487 +v 0.3521 6.3342 1.1948 +v 0.1472 6.1926 1.3453 +v 0.0649 6.1747 1.3653 +v 0.2920 6.2577 1.1631 +v 0.2224 6.2224 1.2696 +v 0.2946 6.2688 1.2118 +v 0.2619 6.2578 1.0239 +v 0.2275 6.2524 0.9168 +v 0.1720 6.2211 0.9528 +v 0.1967 6.2261 1.0632 +v 0.3749 6.3561 0.8903 +v 0.2637 6.1397 0.6201 +v 0.2936 5.9969 0.5964 +v 0.3469 5.8516 0.5834 +v 0.4031 5.7128 0.5228 +v 0.6525 6.8231 0.5952 +v 0.5637 6.8145 0.4445 +v 0.6041 7.0198 0.3002 +v 0.5529 7.0052 0.1373 +v 0.5109 6.9987 0.0314 +v 0.4538 7.0034 -0.0730 +v 0.3779 7.0057 -0.1570 +v 0.2851 6.9941 -0.2139 +v 0.6253 7.0908 0.2769 +v 0.5724 7.1039 0.1115 +v 0.5306 7.1107 0.0056 +v 0.4702 7.1210 -0.1010 +v 0.3952 7.1288 -0.1905 +v 0.3079 7.1256 -0.2593 +v 0.6503 7.1656 0.2646 +v 0.6032 7.2125 0.0747 +v 0.5546 7.2321 -0.0295 +v 0.4910 7.2498 -0.1348 +v 0.4148 7.2647 -0.2306 +v 0.3265 7.2684 -0.3031 +v 0.7026 7.3519 0.2862 +v 0.6513 7.4431 0.0729 +v 0.5991 7.4904 -0.0452 +v 0.5283 7.5315 -0.1531 +v 0.4468 7.5647 -0.2584 +v 0.3544 7.5913 -0.3295 +v 0.7290 7.4505 0.3421 +v 0.7087 7.6416 0.1815 +v 0.6615 7.7449 0.0846 +v 0.5987 7.8470 -0.0197 +v 0.5124 7.9446 -0.1382 +v 0.4048 8.0110 -0.2012 +v 0.4128 8.3912 0.6644 +v 0.5333 8.2829 0.6464 +v 0.5129 8.2441 0.8799 +v 0.6467 7.8305 1.0103 +v 0.6326 8.1420 0.6218 +v 0.7073 7.9778 0.5941 +v 0.5609 7.9428 1.1079 +v 0.7067 7.9505 0.4073 +v 0.7443 7.7993 0.4428 +v 0.7429 7.5394 0.5052 +v 0.4425 8.0225 1.1950 +v 0.3127 8.0778 1.2650 +v 0.1595 7.9979 1.3813 +v 0.0616 8.0101 1.3911 +v 0.6920 7.9616 0.7468 +v 0.6182 8.1187 0.8167 +v 0.7407 7.8148 0.5784 +v 0.7306 7.8074 0.6939 +v 0.0550 6.1660 1.2186 +v 0.1310 6.1866 1.1871 +v 0.5362 6.7157 0.4753 +v 0.2054 6.2166 1.1502 +v 0.2808 6.2539 1.1008 +v 0.3390 6.2914 1.0529 +v 0.5406 6.6689 0.5704 +v 0.5394 6.6144 0.6584 +v 0.5099 6.5342 0.7426 +v 0.4398 6.4127 0.8904 +v 0.4087 6.3710 0.9502 +v 0.4738 6.4640 0.8222 +v 0.5402 6.7637 0.3836 +v 0.5853 7.0074 0.2297 +v 0.6092 7.0964 0.1970 +v 0.6409 7.1844 0.1729 +v 0.6920 7.4000 0.1884 +v 0.7314 7.5409 0.2698 +v 0.7521 7.6550 0.4809 +v 0.5975 8.0607 0.9572 +v 0.6769 7.9237 0.8640 +v 0.7222 7.7849 0.7886 +v 0.4851 8.1678 1.0415 +v 0.0651 8.1239 1.3146 +v 0.3535 8.2339 1.1020 +v 0.0900 5.9493 -0.2313 +v 0.0540 6.6850 -0.1354 +v 0.0490 6.6005 -0.1164 +v 0.0941 8.2749 1.1621 +v 0.1497 8.0686 -0.2535 +v 0.1260 7.6282 -0.3872 +v 0.0559 6.7532 -0.1475 +v 0.1519 8.4771 0.6926 +v 0.1747 8.4575 0.3073 +v 0.1159 7.2609 -0.3713 +v 0.1020 7.1154 -0.3205 +v 0.0762 6.9910 -0.2536 +v 0.1196 8.3974 0.9698 +v 0.0475 6.3253 -0.1061 +v 0.0461 6.4865 -0.0951 +v 0.0683 6.1120 -0.1649 +v 0.3554 6.3525 0.7607 +v 0.3297 6.3282 0.8026 +v 0.3058 6.2710 0.6628 +v 0.2751 6.2464 0.6972 +v 0.1765 6.1908 0.7831 +v 0.1323 6.1799 0.8137 +v 0.1479 6.6761 -0.1324 +v 0.1587 6.1154 -0.1927 +v 0.2386 8.3787 0.9608 +v 0.1519 6.7401 -0.1436 +v 0.1794 6.9939 -0.2456 +v 0.1372 6.4770 -0.1098 +v 0.1910 5.9516 -0.2330 +v 0.2429 7.6127 -0.3705 +v 0.2265 7.2627 -0.3541 +v 0.2090 7.1192 -0.3050 +v 0.2790 8.0499 -0.2402 +v 0.3019 8.4243 0.3057 +v 0.1387 6.3132 -0.1207 +v 0.2708 8.4542 0.6879 +v 0.1409 6.5933 -0.1180 +v 0.2057 8.2615 1.1470 +v 0.3487 7.3318 1.3890 +v 0.3114 7.3316 1.3973 +v 0.3806 7.3248 1.3760 +v 0.4067 7.3159 1.3602 +v 0.4238 7.3088 1.3476 +v 0.4297 7.3006 1.3437 +v 0.4340 7.2931 1.3409 +v 0.4350 7.2875 1.3389 +v 0.4342 7.2830 1.3386 +v 0.4316 7.2750 1.3412 +v 0.4202 7.2676 1.3512 +v 0.4009 7.2578 1.3647 +v 0.3807 7.2493 1.3752 +v 0.3497 7.2428 1.3877 +v 0.3109 7.2415 1.3928 +v 0.2760 7.2442 1.3879 +v 0.2438 7.2496 1.3800 +v 0.2178 7.2571 1.3676 +v 0.2720 7.3243 1.3960 +v 0.2353 7.3097 1.3848 +v 0.2194 7.2952 1.3751 +v 0.2087 7.2812 1.3697 +v 0.2030 7.2751 1.3690 +v 0.2030 7.2683 1.3675 +v 0.2108 7.2625 1.3660 +v 0.2139 7.2883 1.3724 +v 0.3508 7.3255 1.3617 +v 0.3141 7.3250 1.3680 +v 0.3846 7.3209 1.3522 +v 0.4066 7.3170 1.3399 +v 0.4217 7.3084 1.3277 +v 0.4280 7.3019 1.3218 +v 0.4322 7.2943 1.3154 +v 0.4335 7.2877 1.3109 +v 0.4338 7.2816 1.3081 +v 0.4347 7.2768 1.3077 +v 0.4254 7.2662 1.3187 +v 0.4017 7.2566 1.3362 +v 0.3807 7.2519 1.3462 +v 0.3528 7.2468 1.3554 +v 0.3103 7.2467 1.3611 +v 0.2774 7.2487 1.3573 +v 0.2404 7.2546 1.3471 +v 0.2222 7.2575 1.3421 +v 0.2706 7.3184 1.3657 +v 0.2354 7.3088 1.3574 +v 0.2178 7.2988 1.3480 +v 0.2096 7.2827 1.3462 +v 0.2048 7.2754 1.3457 +v 0.2036 7.2715 1.3456 +v 0.2081 7.2650 1.3445 +v 0.2146 7.2904 1.3461 +v 0.3512 7.3748 1.3641 +v 0.3087 7.3751 1.3710 +v 0.3865 7.3654 1.3528 +v 0.4121 7.3522 1.3403 +v 0.4298 7.3367 1.3290 +v 0.4407 7.3218 1.3209 +v 0.4476 7.3071 1.3146 +v 0.4513 7.2931 1.3105 +v 0.4524 7.2794 1.3089 +v 0.4510 7.2665 1.3100 +v 0.4383 7.2406 1.3229 +v 0.4200 7.2220 1.3370 +v 0.3939 7.2050 1.3506 +v 0.3555 7.1918 1.3629 +v 0.3018 7.1882 1.3688 +v 0.2597 7.1949 1.3643 +v 0.2294 7.2057 1.3554 +v 0.1983 7.2262 1.3405 +v 0.2632 7.3640 1.3704 +v 0.2253 7.3443 1.3620 +v 0.2005 7.3228 1.3508 +v 0.1794 7.2874 1.3326 +v 0.1765 7.2731 1.3271 +v 0.1776 7.2597 1.3273 +v 0.1838 7.2438 1.3313 +v 0.1867 7.3036 1.3411 +v 0.3512 7.4102 1.3266 +v 0.3044 7.4128 1.3329 +v 0.3895 7.3968 1.3171 +v 0.4180 7.3780 1.3066 +v 0.4377 7.3573 1.2966 +v 0.4504 7.3370 1.2885 +v 0.4582 7.3174 1.2822 +v 0.4623 7.2984 1.2780 +v 0.4634 7.2793 1.2764 +v 0.4617 7.2611 1.2775 +v 0.4495 7.2261 1.2875 +v 0.4325 7.2013 1.2981 +v 0.4042 7.1763 1.3100 +v 0.3603 7.1560 1.3217 +v 0.3007 7.1498 1.3276 +v 0.2524 7.1600 1.3247 +v 0.2209 7.1755 1.3185 +v 0.1864 7.2069 1.3081 +v 0.2545 7.4005 1.3335 +v 0.2124 7.3750 1.3279 +v 0.1849 7.3449 1.3192 +v 0.1640 7.2937 1.3074 +v 0.1625 7.2735 1.3056 +v 0.1645 7.2540 1.3036 +v 0.1717 7.2316 1.3033 +v 0.1703 7.3172 1.3112 +v 0.3484 7.4299 1.2864 +v 0.3004 7.4336 1.2908 +v 0.3879 7.4151 1.2797 +v 0.4177 7.3942 1.2718 +v 0.4388 7.3710 1.2639 +v 0.4527 7.3476 1.2570 +v 0.4614 7.3248 1.2513 +v 0.4660 7.3021 1.2474 +v 0.4672 7.2793 1.2456 +v 0.4652 7.2575 1.2459 +v 0.4528 7.2176 1.2520 +v 0.4360 7.1900 1.2590 +v 0.4069 7.1613 1.2678 +v 0.3611 7.1375 1.2768 +v 0.2991 7.1301 1.2827 +v 0.2495 7.1417 1.2827 +v 0.2176 7.1590 1.2801 +v 0.1809 7.1953 1.2753 +v 0.2496 7.4215 1.2916 +v 0.2060 7.3944 1.2887 +v 0.1768 7.3603 1.2838 +v 0.1547 7.2993 1.2757 +v 0.1536 7.2749 1.2735 +v 0.1564 7.2515 1.2725 +v 0.1647 7.2245 1.2732 +v 0.1612 7.3275 1.2792 +v 0.3444 7.4370 1.2547 +v 0.2975 7.4404 1.2575 +v 0.3837 7.4225 1.2500 +v 0.4139 7.4016 1.2443 +v 0.4357 7.3779 1.2382 +v 0.4505 7.3534 1.2326 +v 0.4598 7.3290 1.2278 +v 0.4648 7.3044 1.2243 +v 0.4660 7.2795 1.2223 +v 0.4637 7.2561 1.2219 +v 0.4508 7.2147 1.2251 +v 0.4340 7.1866 1.2293 +v 0.4050 7.1572 1.2352 +v 0.3592 7.1327 1.2419 +v 0.2976 7.1250 1.2478 +v 0.2489 7.1364 1.2502 +v 0.2176 7.1535 1.2503 +v 0.1801 7.1906 1.2494 +v 0.2482 7.4286 1.2583 +v 0.2055 7.4024 1.2571 +v 0.1758 7.3684 1.2551 +v 0.1518 7.3037 1.2515 +v 0.1505 7.2769 1.2503 +v 0.1536 7.2511 1.2495 +v 0.1627 7.2217 1.2492 +v 0.1591 7.3342 1.2531 +v 0.3403 7.4379 1.2300 +v 0.1505 7.2794 1.2317 +v 0.3788 7.4244 1.2269 +v 0.1779 7.3721 1.2326 +v 0.4312 7.3809 1.2183 +v 0.4465 7.3563 1.2140 +v 0.4616 7.3061 1.2068 +v 0.4628 7.2804 1.2047 +v 0.2484 7.1373 1.2256 +v 0.4472 7.2153 1.2048 +v 0.4305 7.1877 1.2068 +v 0.4017 7.1585 1.2103 +v 0.3563 7.1342 1.2152 +v 0.2959 7.1263 1.2212 +v 0.4603 7.2565 1.2039 +v 0.2180 7.1537 1.2277 +v 0.1807 7.1903 1.2291 +v 0.4563 7.3314 1.2101 +v 0.2073 7.4045 1.2328 +v 0.2481 7.4292 1.2327 +v 0.4090 7.4043 1.2228 +v 0.1524 7.3074 1.2321 +v 0.2951 7.4406 1.2319 +v 0.1536 7.2523 1.2311 +v 0.1629 7.2219 1.2300 +v 0.1605 7.3385 1.2324 +v 0.3362 7.4354 1.2077 +v 0.1527 7.2822 1.2140 +v 0.3733 7.4232 1.2057 +v 0.1819 7.3733 1.2120 +v 0.4254 7.3817 1.1998 +v 0.4411 7.3577 1.1967 +v 0.4566 7.3079 1.1905 +v 0.4579 7.2821 1.1881 +v 0.2480 7.1419 1.2028 +v 0.4422 7.2184 1.1860 +v 0.4256 7.1916 1.1860 +v 0.3971 7.1631 1.1875 +v 0.3526 7.1395 1.1909 +v 0.2940 7.1317 1.1969 +v 0.4554 7.2583 1.1870 +v 0.2186 7.1574 1.2067 +v 0.1823 7.1928 1.2100 +v 0.4511 7.3332 1.1935 +v 0.2102 7.4033 1.2110 +v 0.2488 7.4262 1.2097 +v 0.4030 7.4044 1.2029 +v 0.1552 7.3105 1.2136 +v 0.2931 7.4373 1.2087 +v 0.1553 7.2548 1.2134 +v 0.1645 7.2244 1.2117 +v 0.1642 7.3413 1.2128 +v 0.3320 7.4290 1.1846 +v 0.1578 7.2851 1.1935 +v 0.3666 7.4185 1.1834 +v 0.1883 7.3720 1.1898 +v 0.4173 7.3801 1.1792 +v 0.4330 7.3573 1.1774 +v 0.4483 7.3098 1.1717 +v 0.4495 7.2845 1.1691 +v 0.2488 7.1508 1.1782 +v 0.4343 7.2238 1.1654 +v 0.4178 7.1986 1.1637 +v 0.3899 7.1715 1.1637 +v 0.3477 7.1495 1.1659 +v 0.2927 7.1419 1.1714 +v 0.4472 7.2614 1.1679 +v 0.2207 7.1648 1.1835 +v 0.1859 7.1983 1.1882 +v 0.4430 7.3341 1.1749 +v 0.2148 7.3988 1.1880 +v 0.2506 7.4194 1.1859 +v 0.3950 7.4014 1.1813 +v 0.1611 7.3126 1.1924 +v 0.2919 7.4299 1.1848 +v 0.1599 7.2586 1.1929 +v 0.1688 7.2291 1.1905 +v 0.1708 7.3423 1.1910 +v 0.3278 7.4157 1.1573 +v 0.1699 7.2880 1.1655 +v 0.3580 7.4072 1.1566 +v 0.2004 7.3665 1.1618 +v 0.4042 7.3734 1.1534 +v 0.4192 7.3533 1.1525 +v 0.4329 7.3104 1.1473 +v 0.4339 7.2870 1.1448 +v 0.2537 7.1668 1.1491 +v 0.4199 7.2324 1.1408 +v 0.4041 7.2103 1.1382 +v 0.3784 7.1864 1.1373 +v 0.3412 7.1672 1.1387 +v 0.2931 7.1602 1.1428 +v 0.4320 7.2658 1.1438 +v 0.2277 7.1783 1.1548 +v 0.1958 7.2083 1.1595 +v 0.4284 7.3326 1.1505 +v 0.2241 7.3892 1.1601 +v 0.2558 7.4065 1.1577 +v 0.3834 7.3924 1.1548 +v 0.1740 7.3133 1.1641 +v 0.2925 7.4158 1.1569 +v 0.1715 7.2638 1.1649 +v 0.1799 7.2367 1.1620 +v 0.1840 7.3404 1.1626 +v 0.3378 7.2421 1.0915 +v 0.3306 7.2311 1.0938 +v 0.3237 7.2209 1.0968 +v 0.3037 7.2178 1.0975 +v 0.3452 7.2735 1.0880 +v 0.2869 7.2318 1.0935 +v 0.2758 7.2491 1.0906 +v 0.3431 7.3156 1.0906 +v 0.2835 7.3492 1.1001 +v 0.2934 7.3575 1.1028 +v 0.3289 7.3500 1.0997 +v 0.2654 7.3101 1.0918 +v 0.3025 7.3647 1.1062 +v 0.2638 7.2802 1.0899 +v 0.2684 7.2645 1.0897 +v 0.2699 7.3250 1.0941 +v 0.3455 7.2619 1.0892 +v 0.2816 7.2391 1.0920 +v 0.2344 7.2114 1.1216 +v 0.3983 7.2578 1.1136 +v 0.2137 7.3333 1.1254 +v 0.2091 7.2488 1.1234 +v 0.2016 7.2709 1.1257 +v 0.2965 7.3902 1.1257 +v 0.2047 7.3115 1.1257 +v 0.3634 7.3726 1.1231 +v 0.2694 7.3828 1.1252 +v 0.2454 7.3704 1.1258 +v 0.3989 7.3257 1.1187 +v 0.2221 7.2258 1.1221 +v 0.2475 7.2023 1.1200 +v 0.4014 7.2713 1.1138 +v 0.2971 7.1900 1.1141 +v 0.3329 7.1955 1.1119 +v 0.3595 7.2101 1.1106 +v 0.3790 7.2281 1.1108 +v 0.3918 7.2447 1.1125 +v 0.2679 7.1944 1.1170 +v 0.4026 7.2886 1.1143 +v 0.4020 7.3077 1.1162 +v 2.2172 5.2975 0.2559 +v 2.0698 5.2479 0.5570 +v 1.8990 5.2051 0.6451 +v 1.5915 5.1080 0.7934 +v 1.4686 5.0218 0.8345 +v 1.3826 4.9169 0.8732 +v 1.3219 4.8229 0.9211 +v 1.2747 4.7176 0.9850 +v 1.2330 4.5923 1.0586 +v 1.1837 4.4574 1.1453 +v 1.7690 5.3543 0.6999 +v 1.9357 5.4027 0.6075 +v 2.0885 5.4436 0.2634 +v 1.4565 5.2245 0.8566 +v 1.3256 5.1312 0.9088 +v 1.2232 5.0230 0.9587 +v 1.1491 4.9221 1.0159 +v 1.0991 4.8164 1.0883 +v 1.0615 4.6927 1.1550 +v 1.0233 4.5577 1.2219 +v 1.5842 5.4897 0.7269 +v 1.7436 5.5803 0.6205 +v 1.8529 5.6398 0.2680 +v 1.2589 5.3046 0.8893 +v 1.0963 5.2010 0.9542 +v 0.9875 5.0879 1.0141 +v 0.9082 4.9832 1.0748 +v 0.8448 4.8750 1.1423 +v 0.8051 4.7557 1.1984 +v 0.7666 4.6146 1.2622 +v 1.3198 5.5422 0.7237 +v 1.4147 5.6290 0.5973 +v 1.5132 5.7281 0.2635 +v 1.0064 5.3488 0.8939 +v 0.7773 5.2380 0.9696 +v 0.7189 5.0995 1.0410 +v 0.6663 4.9882 1.1028 +v 0.6162 4.8702 1.1542 +v 0.5856 4.7668 1.2001 +v 0.5546 4.6146 1.2645 +v 1.0353 5.5373 0.6586 +v 1.1027 5.5862 0.5304 +v 1.1767 5.6457 0.2522 +v 0.7813 5.4113 0.8420 +v 0.6124 5.3568 0.9182 +v 2.4127 5.0065 0.2413 +v 2.2644 4.9650 0.4923 +v 2.1009 4.9212 0.5540 +v 1.7773 4.8405 0.5673 +v 1.6511 4.7806 0.5225 +v 1.5485 4.7022 0.5106 +v 1.4739 4.6145 0.5249 +v 1.4139 4.5084 0.5613 +v 1.3505 4.3776 0.6172 +v 1.2720 4.2084 0.6892 +v 2.5310 4.8020 0.2457 +v 2.3714 4.7905 0.4964 +v 2.2096 4.7442 0.5574 +v 1.8841 4.6915 0.4761 +v 1.7643 4.6450 0.3247 +v 1.7209 4.5712 0.1721 +v 1.5235 4.5165 0.1942 +v 1.4857 4.4293 0.2095 +v 1.4538 4.3057 0.2336 +v 1.4227 4.1293 0.2658 +v 2.5988 4.6789 0.2344 +v 2.4517 4.6630 0.5009 +v 2.2896 4.6217 0.5677 +v 2.0070 4.5364 0.4691 +v 1.8854 4.5041 0.3204 +v 1.8107 4.4730 0.1606 +v 2.2975 5.1891 0.2490 +v 2.1700 5.1371 0.5338 +v 1.9938 5.0928 0.6025 +v 1.6844 4.9980 0.7181 +v 1.5712 4.9218 0.7413 +v 1.4871 4.8248 0.7661 +v 1.4185 4.7358 0.8037 +v 1.3588 4.6350 0.8591 +v 1.2994 4.5138 0.9343 +v 1.2372 4.3582 1.0374 +v 2.4795 4.9137 0.2457 +v 2.3071 4.8820 0.4863 +v 2.1469 4.8432 0.5486 +v 1.8164 4.7817 0.5030 +v 1.6775 4.7051 0.3767 +v 1.5653 4.6433 0.3581 +v 1.4966 4.5695 0.3649 +v 1.4473 4.4697 0.3910 +v 1.4014 4.3359 0.4345 +v 1.3602 4.1518 0.4899 +v 2.1812 5.2854 0.4275 +v 2.0454 5.4330 0.4469 +v 1.8279 5.6297 0.4514 +v 1.4854 5.7009 0.4304 +v 1.1458 5.6281 0.3861 +v 2.3698 4.9951 0.3797 +v 2.4919 4.8083 0.3771 +v 2.5560 4.6816 0.3791 +v 2.2697 5.1741 0.4077 +v 2.4234 4.9079 0.3752 +v 0.3326 5.5361 0.7395 +v 0.2468 5.5158 0.7787 +v 0.5396 5.5856 0.5004 +v 0.6061 5.6219 0.4273 +v 0.6542 5.6516 0.3435 +v 0.3405 5.5998 -0.4633 +v 0.1611 5.5818 -0.4221 +v 0.5183 5.6104 -0.4509 +v 0.7001 5.6220 -0.4171 +v 0.8818 5.6505 -0.3534 +v 0.4788 5.1876 0.9899 +v 0.0706 4.3967 1.2853 +v 0.1128 4.6322 1.1930 +v 0.2466 5.2731 0.9528 +v 0.1160 4.7630 1.1401 +v 0.1134 4.9256 1.0677 +v 1.0063 5.6557 -0.2786 +v 1.1125 5.6760 -0.1988 +v 1.1898 5.6969 -0.1029 +v 1.2191 5.6938 0.0097 +v 1.2200 5.6942 0.1311 +v 0.9687 5.6796 0.1573 +v 0.9908 5.7049 0.0565 +v 0.9847 5.7208 -0.0378 +v 0.9389 5.7177 -0.1257 +v 0.8746 5.7291 -0.2100 +v 0.7619 5.7480 -0.2953 +v 0.5931 5.7292 -0.3708 +v 0.4364 5.7266 -0.3964 +v 0.1355 5.7087 -0.3601 +v 0.2863 5.7218 -0.3921 +v 0.2370 5.8399 -0.3157 +v 0.1110 5.8324 -0.2981 +v 0.3671 5.8427 -0.3271 +v 0.4940 5.8395 -0.2996 +v 0.6346 5.8452 -0.2243 +v 0.7177 5.8268 -0.1401 +v 0.7589 5.7960 -0.0560 +v 0.1109 5.0309 1.0294 +v 0.7739 5.7679 0.0286 +v 0.7690 5.7526 0.1148 +v 0.7422 5.7199 0.2011 +v 0.2531 5.0470 1.0353 +v 0.2474 4.9388 1.0714 +v 0.2484 5.1530 0.9901 +v 0.4149 5.2997 0.9379 +v 0.1607 5.5059 0.7896 +v 0.4030 5.5425 0.6597 +v 0.6953 5.6802 0.2801 +v 0.5484 5.4443 0.7189 +v 0.2185 5.3934 0.8915 +v 0.4531 5.4333 0.8199 +v 0.3389 5.4135 0.8763 +v 0.7488 5.5173 0.5396 +v 0.8221 5.5537 0.4624 +v 0.8818 5.6041 0.3556 +v 0.9323 5.6513 0.2561 +v 0.0565 5.4729 0.7621 +v 0.1013 5.3707 0.8769 +v 0.1165 5.2563 0.9510 +v 0.1115 5.1356 0.9866 +v 0.2327 4.8001 1.1346 +v 0.2101 4.6719 1.1882 +v 0.1826 4.4623 1.2714 +v 0.3661 4.5748 1.2496 +v 0.4027 4.7315 1.1882 +v 0.4360 4.8493 1.1380 +v 0.4604 4.9573 1.0859 +v 0.4828 5.0633 1.0449 +v 0.3860 5.4722 -0.4981 +v 0.1787 5.4486 -0.4669 +v 0.5920 5.4919 -0.4830 +v 0.7790 5.5129 -0.4524 +v 0.9587 5.5415 -0.4032 +v 1.1301 5.5738 -0.3450 +v 1.2859 5.6211 -0.2744 +v 1.4178 5.6691 -0.1728 +v 1.5026 5.7251 -0.0418 +v 1.5373 5.7422 0.1086 +v 0.3976 5.3400 -0.5186 +v 0.1739 5.3164 -0.4908 +v 0.6334 5.3698 -0.5117 +v 0.8225 5.3933 -0.4954 +v 1.0261 5.4289 -0.4565 +v 1.2508 5.4769 -0.4080 +v 1.4700 5.5413 -0.3424 +v 1.6640 5.5891 -0.2357 +v 1.8305 5.6384 -0.0910 +v 1.8793 5.6465 0.0882 +v 1.3763 5.3371 -0.4563 +v 1.2765 5.1646 -0.5047 +v 1.2074 5.0053 -0.5246 +v 1.1094 4.5175 -0.5471 +v 1.0652 4.3834 -0.4859 +v 1.0040 4.2307 -0.3931 +v 1.0679 5.2956 -0.5041 +v 1.0407 5.1416 -0.5437 +v 1.0054 4.9858 -0.5789 +v 0.8885 4.5322 -0.5183 +v 0.8634 4.3925 -0.4810 +v 0.8253 4.2431 -0.4214 +v 0.8298 5.2565 -0.5311 +v 0.8141 5.1099 -0.5590 +v 0.7949 4.9624 -0.6077 +v 0.6920 4.5468 -0.4575 +v 0.6752 4.4088 -0.4445 +v 0.6586 4.2518 -0.4221 +v 0.6079 5.2198 -0.4923 +v 0.5833 5.0748 -0.4695 +v 0.5690 4.9335 -0.4852 +v 0.5283 4.5484 -0.4855 +v 0.5189 4.4109 -0.4689 +v 0.5093 4.2560 -0.4451 +v 0.3955 5.2006 -0.5300 +v 0.3904 5.0515 -0.5217 +v 0.3834 4.9118 -0.5292 +v 0.3630 4.5457 -0.4886 +v 0.3615 4.4116 -0.4727 +v 0.3604 4.2580 -0.4467 +v 0.1915 5.1794 -0.5110 +v 0.1977 5.0340 -0.5200 +v 0.1974 4.8893 -0.5167 +v 0.1956 4.5517 -0.4791 +v 0.2015 4.4259 -0.4626 +v 0.2023 4.2552 -0.4384 +v 1.6517 5.4272 -0.3794 +v 1.8645 5.4557 -0.2671 +v 2.0026 5.4596 -0.1072 +v 2.0930 5.4451 0.0744 +v 1.8285 5.3127 -0.3728 +v 2.0139 5.3247 -0.2654 +v 2.1405 5.3193 -0.1101 +v 2.2260 5.3077 0.0707 +v 1.6225 5.2535 -0.4347 +v 1.4798 5.1383 -0.4667 +v 1.5226 4.9591 -0.4327 +v 1.4297 4.4891 -0.2976 +v 1.3746 4.3408 -0.2607 +v 1.3233 4.1986 -0.2172 +v 1.9453 5.1969 -0.3468 +v 2.1079 5.2094 -0.2471 +v 2.2433 5.2067 -0.1072 +v 2.3047 5.2036 0.0746 +v 1.7718 5.1550 -0.4035 +v 1.6269 5.0723 -0.4290 +v 1.3846 4.9990 -0.4763 +v 1.5072 4.3858 -0.1377 +v 1.4610 4.2828 -0.1194 +v 1.4100 4.1578 -0.0897 +v 2.0849 4.9743 -0.2983 +v 2.2289 5.0065 -0.2159 +v 2.3498 5.0166 -0.0808 +v 2.4186 5.0169 0.0819 +v 1.9438 4.9283 -0.3490 +v 1.8196 4.8598 -0.3706 +v 1.5913 4.5406 -0.2233 +v 1.5972 4.4851 -0.1144 +v 1.5175 4.3895 0.0272 +v 1.4804 4.2827 0.0406 +v 2.1444 4.8641 -0.2903 +v 2.2850 4.8919 -0.2028 +v 2.4009 4.9096 -0.0764 +v 2.4832 4.9195 0.0795 +v 2.0049 4.8236 -0.3405 +v 1.8869 4.7752 -0.3516 +v 1.6628 4.5143 -0.2018 +v 1.6559 4.4797 -0.0995 +v 1.6472 4.5226 0.0345 +v 2.2172 4.7289 -0.2740 +v 2.3477 4.7680 -0.2036 +v 2.4640 4.7949 -0.0837 +v 2.5287 4.8019 0.0791 +v 2.0921 4.6936 -0.3058 +v 1.9823 4.6650 -0.3168 +v 1.7491 4.4567 -0.1841 +v 1.7344 4.4361 -0.0815 +v 1.7195 4.4917 0.0340 +v 1.5733 4.5736 0.1894 +v 2.3085 4.5791 -0.2659 +v 2.4268 4.6222 -0.1961 +v 2.5332 4.6615 -0.0789 +v 2.5914 4.6750 0.0791 +v 2.1981 4.5377 -0.2997 +v 2.1010 4.5088 -0.2902 +v 1.8480 4.3637 -0.1583 +v 1.8222 4.3406 -0.0774 +v 1.8088 4.4177 0.0459 +v 1.6444 4.6032 0.1899 +v 1.5894 4.5102 0.0293 +v 1.5484 4.4650 0.0266 +v 1.5241 4.5352 -0.2525 +v 1.7330 4.9766 -0.3954 +v 1.5535 4.4525 -0.1285 +v 2.2995 5.1128 -0.0915 +v 2.3646 5.1093 0.0798 +v 2.1763 5.1094 -0.2341 +v 2.0219 5.0860 -0.3197 +v 1.8681 5.0450 -0.3725 +v 2.0541 5.0016 0.5718 +v 2.2211 5.0421 0.5104 +v 2.3535 5.0911 0.2441 +v 1.4534 4.6688 0.6712 +v 1.5277 4.7590 0.6450 +v 1.6193 4.8439 0.6373 +v 1.7362 4.9045 0.6400 +v 2.3195 5.0750 0.3912 +v 1.2541 4.2976 0.8895 +v 1.3210 4.4491 0.7876 +v 1.3884 4.5668 0.7181 +v 1.7219 4.7859 -0.3647 +v 1.7898 4.7234 -0.3372 +v 1.8911 4.6298 -0.2964 +v 2.0166 4.4814 -0.2831 +v 1.6251 4.8963 -0.3983 +v 1.4402 4.1375 0.0608 +v 1.1808 4.2193 -0.3204 +v 1.2313 4.3710 -0.3779 +v 1.2743 4.5153 -0.4221 +v 2.6938 4.5419 0.2334 +v 2.5525 4.5050 0.5128 +v 2.4257 4.4518 0.5692 +v 2.1552 4.3393 0.4783 +v 2.0380 4.3124 0.3484 +v 1.9799 4.2816 0.1825 +v 2.6528 4.5329 0.3895 +v 2.4240 4.4194 -0.2524 +v 2.5314 4.4748 -0.1864 +v 2.6344 4.5162 -0.0674 +v 2.6857 4.5356 0.0864 +v 2.3225 4.3691 -0.2932 +v 2.2336 4.3326 -0.2861 +v 1.9805 4.2287 -0.1447 +v 1.9625 4.2193 -0.0583 +v 1.9497 4.2525 0.0498 +v 2.1516 4.2989 -0.2804 +v 2.7976 4.3978 0.2588 +v 2.6692 4.3438 0.5238 +v 2.5520 4.2606 0.5713 +v 2.3068 4.1609 0.4845 +v 2.2313 4.1119 0.3550 +v 2.1586 4.0720 0.1840 +v 2.7627 4.3855 0.4209 +v 2.5586 4.2543 -0.2484 +v 2.6624 4.3134 -0.1726 +v 2.7537 4.3634 -0.0522 +v 2.7970 4.3884 0.1030 +v 2.4646 4.2026 -0.2896 +v 2.3802 4.1608 -0.2826 +v 2.1342 4.0421 -0.1334 +v 2.1194 4.0436 -0.0508 +v 2.1145 4.0411 0.0465 +v 2.2969 4.1189 -0.2741 +v 2.9053 4.2671 0.2902 +v 2.7831 4.1759 0.5425 +v 2.6851 4.0824 0.5857 +v 2.4605 3.9737 0.4817 +v 2.3680 3.9489 0.3558 +v 2.3086 3.9066 0.2036 +v 2.8751 4.2470 0.4415 +v 2.7035 4.1080 -0.2271 +v 2.7891 4.1676 -0.1473 +v 2.8793 4.2161 -0.0235 +v 2.9129 4.2469 0.1399 +v 2.6144 4.0493 -0.2715 +v 2.5365 4.0109 -0.2669 +v 2.3019 3.8933 -0.1119 +v 2.2809 3.8824 -0.0387 +v 2.2737 3.8736 0.0611 +v 2.4553 3.9675 -0.2589 +v 3.0057 4.1445 0.3208 +v 2.8676 4.0442 0.5584 +v 2.7749 3.9660 0.5855 +v 2.5871 3.8162 0.4856 +v 2.5092 3.7759 0.3592 +v 2.4385 3.7492 0.2136 +v 2.9627 4.1214 0.4593 +v 2.8469 3.9781 -0.1875 +v 2.9157 4.0381 -0.1031 +v 2.9934 4.0928 0.0283 +v 3.0151 4.1221 0.1790 +v 2.7683 3.9226 -0.2378 +v 2.6935 3.8775 -0.2440 +v 2.4293 3.7523 -0.1070 +v 2.4070 3.7387 -0.0380 +v 2.3945 3.7273 0.0682 +v 2.6047 3.8381 -0.2357 +v 0.8070 3.8437 1.5752 +v 0.7866 3.8414 1.5795 +v 0.7687 3.8317 1.5840 +v 0.7560 3.8163 1.5895 +v 0.7505 3.7974 1.5930 +v 0.7531 3.7779 1.5956 +v 0.7636 3.7608 1.5958 +v 0.7804 3.7486 1.5931 +v 0.8008 3.7433 1.5887 +v 0.8213 3.7456 1.5839 +v 0.8392 3.7552 1.5787 +v 0.8514 3.7707 1.5748 +v 0.8565 3.7896 1.5721 +v 0.8538 3.8091 1.5706 +v 0.8433 3.8263 1.5708 +v 0.8270 3.8384 1.5723 +v 0.8061 3.8227 1.5818 +v 0.7943 3.8213 1.5846 +v 0.7839 3.8157 1.5876 +v 0.7765 3.8068 1.5905 +v 0.7733 3.7958 1.5928 +v 0.7748 3.7844 1.5941 +v 0.7809 3.7744 1.5944 +v 0.7908 3.7674 1.5937 +v 0.8026 3.7643 1.5911 +v 0.8146 3.7656 1.5883 +v 0.8250 3.7712 1.5849 +v 0.8320 3.7802 1.5823 +v 0.8349 3.7912 1.5803 +v 0.8332 3.8026 1.5793 +v 0.8271 3.8125 1.5792 +v 0.8177 3.8196 1.5803 +v 0.8094 3.9034 1.5558 +v 0.7678 3.8986 1.5644 +v 0.7312 3.8790 1.5742 +v 0.7054 3.8476 1.5843 +v 0.6943 3.8091 1.5927 +v 0.6996 3.7693 1.5976 +v 0.7207 3.7344 1.5974 +v 0.7548 3.7097 1.5901 +v 0.7961 3.6988 1.5802 +v 0.8375 3.7036 1.5681 +v 0.8743 3.7232 1.5573 +v 0.8999 3.7546 1.5533 +v 0.9102 3.7932 1.5494 +v 0.9047 3.8329 1.5474 +v 0.8834 3.8678 1.5477 +v 0.8501 3.8926 1.5505 +v 0.7940 4.0375 1.5046 +v 0.7068 4.0290 1.5204 +v 0.6303 3.9920 1.5386 +v 0.5765 3.9322 1.5535 +v 0.5543 3.8587 1.5741 +v 0.5665 3.7826 1.5883 +v 0.6116 3.7156 1.5933 +v 0.6838 3.6679 1.5862 +v 0.7689 3.6466 1.5583 +v 0.8558 3.6552 1.5367 +v 0.9266 3.6950 1.5083 +v 0.9837 3.7520 1.4911 +v 1.0040 3.8256 1.4839 +v 0.9919 3.9017 1.4766 +v 0.9483 3.9686 1.4874 +v 0.8785 4.0163 1.4926 +v 0.7709 4.2531 1.4050 +v 0.6264 4.2500 1.4163 +v 0.4880 4.1830 1.4381 +v 0.3900 4.0705 1.4710 +v 0.3627 3.9420 1.5098 +v 0.3826 3.8197 1.5371 +v 0.4471 3.7122 1.5576 +v 0.5588 3.6201 1.5524 +v 0.7253 3.5847 1.5201 +v 0.8685 3.5972 1.4613 +v 0.9984 3.6495 1.3857 +v 1.0860 3.7520 1.3436 +v 1.1016 3.8896 1.3314 +v 1.0865 4.0115 1.3543 +v 1.0195 4.1189 1.3918 +v 0.9090 4.2166 1.4042 +v 0.7553 4.3683 1.3505 +v 0.5829 4.3540 1.3652 +v 0.4250 4.2847 1.3812 +v 0.2845 4.1454 1.4131 +v 0.2371 3.9891 1.4534 +v 0.2661 3.8271 1.4963 +v 0.3671 3.6843 1.5355 +v 0.4972 3.5885 1.5389 +v 0.7051 3.5378 1.4892 +v 0.8853 3.5564 1.4131 +v 1.0231 3.6217 1.3170 +v 1.1370 3.7494 1.2261 +v 1.1453 3.9257 1.2267 +v 1.1559 4.1220 1.2462 +v 1.0689 4.2357 1.3128 +v 0.9386 4.3230 1.3470 +v 0.7429 4.5114 1.3011 +v 0.5626 4.4938 1.3123 +v 0.3838 4.4071 1.3224 +v 0.1703 4.2239 1.3608 +v 0.1233 4.0220 1.4235 +v 0.1476 3.8174 1.4848 +v 0.2724 3.6315 1.5367 +v 0.4507 3.5262 1.5437 +v 0.6946 3.4638 1.4852 +v 0.9274 3.4748 1.3416 +v 1.0618 3.5846 1.2004 +v 1.1215 3.7589 1.0853 +v 1.1658 3.9736 1.1083 +v 1.1947 4.2089 1.1406 +v 1.1355 4.3458 1.2382 +v 0.9902 4.4403 1.2882 +v 0.8935 4.1059 1.4513 +v 0.9839 4.0437 1.4404 +v 0.8634 3.6235 1.5069 +v 0.7510 3.6144 1.5416 +v 0.7822 4.1335 1.4622 +v 0.9608 3.6709 1.4533 +v 0.6677 4.1224 1.4785 +v 1.0256 3.7500 1.4332 +v 0.4851 3.8016 1.5709 +v 0.4689 3.9006 1.5475 +v 0.5676 4.0743 1.4993 +v 1.0528 3.8576 1.4125 +v 0.5450 3.7143 1.5826 +v 0.4980 3.9964 1.5211 +v 1.0392 3.9566 1.4127 +v 0.6255 3.6471 1.5768 +v 0.0662 4.2142 1.3590 +v 0.0609 4.0123 1.4244 +v 0.0885 3.8030 1.4908 +v 0.1421 3.6210 1.5438 +v 4.4866 1.8664 2.9792 +v 4.5790 1.7736 2.8901 +v 4.6047 1.8276 2.9362 +v 4.5550 1.8778 2.9757 +v 4.5551 1.9733 2.8727 +v 4.6165 1.9215 2.8228 +v 4.5956 1.8550 2.7847 +v 4.4914 1.9562 2.8828 +v 4.4692 2.0157 2.7915 +v 4.5762 1.9178 2.6807 +v 4.5935 1.9748 2.7207 +v 4.5400 2.0540 2.7338 +v 4.5888 2.0018 2.6731 +v 4.5626 1.9102 2.6325 +v 4.4587 2.0499 2.7433 +v 4.5425 2.0230 2.7828 +v 4.4677 1.9447 2.8794 +v 4.4646 1.8516 2.9726 +v 4.5352 1.8945 2.6121 +v 4.5471 1.9010 2.6738 +v 4.5572 1.8311 2.7748 +v 4.5521 1.7581 2.8771 +v 4.4249 2.0264 2.7309 +v 4.4414 1.9985 2.7835 +v 4.5074 1.6923 3.1740 +v 4.5497 1.7374 3.1249 +v 4.5043 1.6539 3.1995 +v 4.5962 1.6295 3.1179 +v 4.5930 1.5986 3.1435 +v 4.5384 1.5908 3.1998 +v 4.5938 1.7028 3.0944 +v 4.5766 1.7278 3.1094 +v 4.5514 1.5996 3.2023 +v 4.5712 1.7175 3.1134 +v 4.5186 1.6502 3.2063 +v 4.5932 1.6002 3.1572 +v 4.5864 1.6907 3.1010 +v 4.5921 1.6293 3.1321 +v 4.5182 1.6845 3.1803 +v 4.5907 1.8630 2.9610 +v 4.6014 1.9569 2.8486 +v 4.5745 2.0353 2.7086 +v 4.5816 2.0080 2.7568 +v 4.5437 1.7234 3.1312 +v 4.4583 1.7771 2.8974 +v 4.4663 1.8487 2.8186 +v 4.4370 1.9396 2.6364 +v 4.4397 1.9078 2.7054 +v 4.5516 1.7530 3.1133 +v 4.4927 1.7156 3.1436 +v 4.5886 1.6336 3.0824 +v 4.5974 1.7113 3.0848 +v 4.5749 1.6034 3.1006 +v 4.4838 1.6914 3.1560 +v 4.5814 1.7410 3.0979 +v 4.4963 1.5881 3.1677 +v 4.4706 1.6551 3.0631 +v 4.5863 1.7693 3.0723 +v 4.4676 1.7428 3.0882 +v 4.5531 1.6522 3.0185 +v 4.6004 1.7403 3.0524 +v 4.5773 1.6717 3.0195 +v 4.4785 1.7595 3.0881 +v 4.5484 1.7821 3.0880 +v 4.5848 1.9029 2.7176 +v 4.5961 1.9579 2.7600 +v 4.5433 2.0077 2.8086 +v 4.5521 1.8813 2.7141 +v 4.4545 1.9812 2.8169 +v 4.4781 1.9964 2.8216 +v 4.5873 1.9925 2.7876 +v 4.4486 1.8849 2.7521 +v 4.6010 1.9381 2.8708 +v 4.5563 1.8211 2.7918 +v 4.6241 1.8994 2.8404 +v 4.5952 1.8428 2.7999 +v 4.4625 1.8253 2.8404 +v 4.5999 1.9169 2.8951 +v 4.4666 1.9136 2.9119 +v 4.5536 1.8090 2.8064 +v 4.5496 1.8063 3.0628 +v 4.4812 1.7941 3.0511 +v 4.5771 1.7099 2.9776 +v 4.6042 1.7656 3.0263 +v 4.5490 1.6978 2.9680 +v 4.4686 1.7837 3.0439 +v 4.5874 1.7926 3.0483 +v 4.4718 1.7158 2.9937 +v 4.4614 1.8119 2.8523 +v 4.4646 1.8938 2.9296 +v 4.5580 1.9117 2.9449 +v 4.4840 1.9027 2.9408 +v 4.6216 1.8792 2.8635 +v 4.5583 1.9357 2.9213 +v 4.5928 1.8279 2.8169 +v 4.4890 1.9253 2.9198 +v 4.5897 1.8115 2.8391 +v 4.6141 1.8587 2.8891 +v 4.5980 1.8946 2.9256 +v 4.5516 1.7922 2.8271 +v 4.4661 1.9566 2.8632 +v 4.4885 1.9683 2.8648 +v 4.5964 1.9702 2.8264 +v 4.4603 1.8552 2.7991 +v 4.4639 1.8388 2.8304 +v 4.4664 1.9273 2.8966 +v 4.4921 1.9407 2.9035 +v 4.5557 1.9592 2.8993 +v 4.5935 1.8744 2.7595 +v 4.6054 1.9362 2.7977 +v 4.5510 1.9846 2.8523 +v 4.5585 1.8475 2.7510 +v 4.5496 1.8320 3.0277 +v 4.5807 1.7323 2.9503 +v 4.5496 1.7147 2.9435 +v 4.5861 1.8189 3.0136 +v 4.4717 1.7343 2.9672 +v 4.4855 1.8185 3.0280 +v 4.6025 1.7902 2.9902 +v 4.4697 1.8057 3.0222 +v 4.5496 1.8175 3.0476 +v 4.5796 1.7200 2.9642 +v 4.5504 1.7065 2.9553 +v 4.5871 1.8026 3.0340 +v 4.4743 1.7267 2.9812 +v 4.4840 1.8056 3.0407 +v 4.6030 1.7773 3.0116 +v 4.4696 1.7942 3.0338 +v 4.4761 1.6096 3.1230 +v 4.4715 1.7199 3.1134 +v 4.5992 1.7229 3.0682 +v 4.5607 1.6263 3.0564 +v 4.5834 1.6518 3.0488 +v 4.5846 1.7541 3.0844 +v 4.5500 1.7676 3.1006 +v 4.4806 1.7369 3.1118 +v 4.4420 1.8022 2.9244 +v 4.4463 1.8880 2.8484 +v 4.4137 1.9630 2.6800 +v 4.4195 1.9389 2.7410 +v 4.5176 1.6136 3.2088 +v 4.5289 1.6199 3.2146 +v 4.4798 1.6221 3.1775 +v 4.4570 1.6828 3.0753 +v 4.4288 1.9238 2.7862 +v 4.4430 1.8627 2.8730 +v 4.4405 1.8446 2.8878 +v 4.4583 1.7381 3.0131 +v 4.4405 1.8944 2.8321 +v 4.4460 1.8771 2.8619 +v 4.4556 1.7605 2.9860 +v 4.4597 1.7523 3.0004 +v 4.4618 1.6496 3.1257 +v 4.5021 1.7094 2.9646 +v 4.4994 1.7158 2.9497 +v 4.5051 1.8231 2.8056 +v 4.4929 1.8396 2.7711 +v 4.5124 1.5940 3.0952 +v 4.4880 1.8676 2.7274 +v 4.5406 1.5743 3.1412 +v 4.5728 1.5883 3.1821 +v 4.4779 1.8945 2.6849 +v 4.5005 1.6980 2.9764 +v 4.5023 1.8089 2.8186 +v 4.5025 1.6377 3.0426 +v 4.5021 1.7940 2.8320 +v 4.4681 1.9003 2.5865 +v 4.5021 1.8313 2.7926 +v 4.4970 1.7528 2.8811 +v 4.5693 1.5798 3.1768 +v 4.5623 1.7127 3.1110 +v 4.5568 1.6090 3.2023 +v 4.5254 1.6452 3.2017 +v 4.5834 1.6035 3.1613 +v 4.5790 1.6872 3.1031 +v 4.5829 1.6272 3.1375 +v 4.5213 1.6737 3.1776 +v 4.5434 1.7148 3.1296 +v 4.5364 1.6252 3.2074 +v 4.5762 1.5988 3.1808 +v 4.5653 1.6535 3.1685 +v 4.5615 1.6277 3.1898 +v 4.5506 1.6794 2.9878 +v 4.5764 1.6959 2.9931 +v 4.4699 1.6959 3.0141 +v 4.5487 1.7949 3.0741 +v 4.6016 1.7537 3.0389 +v 4.5867 1.7813 3.0596 +v 4.4665 1.7670 3.0590 +v 4.4788 1.7807 3.0640 +v 4.4573 1.7147 3.0307 +v 4.4981 1.6777 2.9967 +v 4.7001 1.6046 2.8585 +v 4.7795 1.5316 2.7483 +v 4.8044 1.5842 2.7925 +v 4.7545 1.6107 2.8512 +v 4.7401 1.7540 2.7510 +v 4.7981 1.7185 2.6810 +v 4.7705 1.6590 2.6306 +v 4.6822 1.7394 2.7566 +v 4.6206 1.8291 2.6586 +v 4.7241 1.7514 2.5370 +v 4.7596 1.8284 2.5776 +v 4.6741 1.9232 2.5871 +v 4.7513 1.8833 2.5084 +v 4.6834 1.8084 2.4723 +v 4.5743 1.8934 2.6083 +v 4.6983 1.8537 2.6410 +v 4.6589 1.7283 2.7498 +v 4.6765 1.5891 2.8549 +v 4.6575 1.7778 2.4617 +v 4.6898 1.7268 2.5256 +v 4.7426 1.6384 2.6212 +v 4.7434 1.5082 2.7377 +v 4.5495 1.8762 2.5921 +v 4.5939 1.8097 2.6415 +v 4.7733 1.4249 3.0151 +v 4.7890 1.4617 2.9679 +v 4.7767 1.3950 3.0352 +v 4.8306 1.3794 2.9278 +v 4.8331 1.3382 2.9508 +v 4.8074 1.3213 3.0214 +v 4.8244 1.4331 2.9184 +v 4.8103 1.4568 2.9390 +v 4.8180 1.3339 3.0208 +v 4.8054 1.4455 2.9435 +v 4.7874 1.3924 3.0343 +v 4.8355 1.3441 2.9648 +v 4.8174 1.4268 2.9273 +v 4.8321 1.3744 2.9405 +v 4.7779 1.4197 3.0155 +v 4.7935 1.6083 2.8225 +v 4.7827 1.7457 2.7193 +v 4.7286 1.9068 2.5600 +v 4.7396 1.8548 2.6132 +v 4.7862 1.4490 2.9698 +v 4.6683 1.5253 2.7849 +v 4.6405 1.6557 2.6755 +v 4.5316 1.7837 2.4896 +v 4.5891 1.7349 2.5708 +v 4.7890 1.4762 2.9599 +v 4.7566 1.4450 2.9999 +v 4.8277 1.3868 2.9049 +v 4.8266 1.4427 2.9098 +v 4.8181 1.3500 2.9187 +v 4.7487 1.4075 3.0236 +v 4.8130 1.4679 2.9331 +v 4.7614 1.3100 3.0010 +v 4.7027 1.3941 2.9032 +v 4.8122 1.4932 2.9152 +v 4.7222 1.4773 2.9567 +v 4.7795 1.4028 2.8505 +v 4.8246 1.4710 2.8867 +v 4.8071 1.4257 2.8513 +v 4.7391 1.4912 2.9569 +v 4.7825 1.5045 2.9407 +v 4.7334 1.7328 2.5561 +v 4.7681 1.8001 2.6062 +v 4.7056 1.8257 2.6685 +v 4.7026 1.7049 2.5465 +v 4.6113 1.7893 2.6721 +v 4.6377 1.8096 2.6812 +v 4.7503 1.8239 2.6418 +v 4.5998 1.7149 2.6013 +v 4.7836 1.7188 2.7413 +v 4.7457 1.6228 2.6353 +v 4.7996 1.6899 2.7065 +v 4.7749 1.6412 2.6498 +v 4.6406 1.6198 2.7071 +v 4.7838 1.6774 2.7701 +v 4.6686 1.6847 2.7897 +v 4.7469 1.5961 2.6608 +v 4.7714 1.5290 2.9234 +v 4.7296 1.5254 2.9272 +v 4.7986 1.4595 2.8208 +v 4.8202 1.4957 2.8602 +v 4.7673 1.4406 2.8104 +v 4.7099 1.5179 2.9218 +v 4.8099 1.5212 2.8947 +v 4.6883 1.4521 2.8535 +v 4.6535 1.5691 2.7475 +v 4.6692 1.6390 2.8183 +v 4.7465 1.6565 2.8136 +v 4.6902 1.6475 2.8235 +v 4.7974 1.6560 2.7366 +v 4.7460 1.6875 2.7898 +v 4.7752 1.6157 2.6776 +v 4.6908 1.6894 2.7945 +v 4.7752 1.5793 2.7092 +v 4.7994 1.6258 2.7619 +v 4.7870 1.6479 2.7922 +v 4.7382 1.5517 2.6979 +v 4.6534 1.7432 2.7371 +v 4.6769 1.7564 2.7402 +v 4.7738 1.7705 2.6963 +v 4.6328 1.6662 2.6623 +v 4.6403 1.6394 2.6893 +v 4.6628 1.7127 2.7647 +v 4.6873 1.7202 2.7726 +v 4.7401 1.7265 2.7681 +v 4.7650 1.6787 2.6141 +v 4.7892 1.7413 2.6595 +v 4.7297 1.7728 2.7284 +v 4.7359 1.6535 2.6069 +v 4.7646 1.5643 2.8961 +v 4.7928 1.4898 2.7941 +v 4.7629 1.4671 2.7827 +v 4.8048 1.5596 2.8647 +v 4.6906 1.4851 2.8304 +v 4.7194 1.5569 2.9011 +v 4.8143 1.5336 2.8316 +v 4.7017 1.5450 2.8982 +v 4.7676 1.5468 2.9110 +v 4.7959 1.4746 2.8079 +v 4.7653 1.4547 2.7976 +v 4.8099 1.5415 2.8799 +v 4.6886 1.4692 2.8417 +v 4.7246 1.5423 2.9131 +v 4.8198 1.5148 2.8459 +v 4.7052 1.5309 2.9094 +v 4.7200 1.3400 2.9531 +v 4.7325 1.4424 2.9889 +v 4.8246 1.4502 2.9008 +v 4.7969 1.3677 2.8888 +v 4.8188 1.4002 2.8811 +v 4.8113 1.4740 2.9272 +v 4.7853 1.4855 2.9537 +v 4.7494 1.4680 2.9794 +v 4.6580 1.5441 2.8145 +v 4.6355 1.6845 2.7135 +v 4.4978 1.8487 2.5325 +v 4.5778 1.7658 2.6060 +v 4.7900 1.3478 3.0428 +v 4.8025 1.3515 3.0385 +v 4.7431 1.3432 3.0284 +v 4.6925 1.4235 2.9327 +v 4.5905 1.7450 2.6381 +v 4.6332 1.6479 2.7416 +v 4.6426 1.5950 2.7797 +v 4.6789 1.4765 2.8853 +v 4.6272 1.6975 2.7018 +v 4.6343 1.6693 2.7290 +v 4.6802 1.5096 2.8608 +v 4.6793 1.4921 2.8727 +v 4.7083 1.3703 2.9807 +v 4.7126 1.4537 2.8174 +v 4.7127 1.4694 2.8057 +v 4.6698 1.6202 2.6575 +v 4.6626 1.6462 2.6317 +v 4.7475 1.3359 2.9176 +v 4.6360 1.6980 2.5693 +v 4.7846 1.3016 2.9651 +v 4.8295 1.3277 2.9951 +v 4.6207 1.7238 2.5435 +v 4.7130 1.4381 2.8280 +v 4.6700 1.5954 2.6763 +v 4.7298 1.3844 2.8741 +v 4.6790 1.5510 2.7168 +v 4.5944 1.7770 2.4426 +v 4.6716 1.6352 2.6443 +v 4.6907 1.5090 2.7584 +v 4.8210 1.3128 2.9902 +v 4.8020 1.4399 2.9464 +v 4.8206 1.3431 3.0176 +v 4.7915 1.3821 3.0307 +v 4.8325 1.3460 2.9713 +v 4.8131 1.4248 2.9286 +v 4.8276 1.3739 2.9507 +v 4.7839 1.4103 3.0113 +v 4.7854 1.4443 2.9688 +v 4.8076 1.3534 3.0292 +v 4.8267 1.3336 2.9973 +v 4.8118 1.3927 2.9828 +v 4.8175 1.3660 3.0035 +v 4.7711 1.4263 2.8247 +v 4.8013 1.4462 2.8321 +v 4.6914 1.4322 2.8688 +v 4.7775 1.5176 2.9310 +v 4.8218 1.4845 2.8730 +v 4.8103 1.5061 2.9060 +v 4.7168 1.5039 2.9355 +v 4.7335 1.5121 2.9388 +v 4.6817 1.4569 2.9014 +v 4.7156 1.4190 2.8430 +v 4.8226 1.5545 2.5955 +v 4.8837 1.4995 2.4828 +v 4.9046 1.5290 2.5135 +v 4.8716 1.5607 2.5761 +v 4.8427 1.6928 2.5041 +v 4.8799 1.6595 2.4371 +v 4.8609 1.6209 2.4009 +v 4.7899 1.6808 2.5278 +v 4.7313 1.7612 2.4715 +v 4.8076 1.7067 2.3293 +v 4.8356 1.7657 2.3723 +v 4.7653 1.8347 2.4193 +v 4.8253 1.8174 2.3331 +v 4.7411 1.7434 2.2661 +v 4.6983 1.7969 2.4417 +v 4.7876 1.7854 2.4414 +v 4.7630 1.6653 2.5220 +v 4.7941 1.5416 2.5921 +v 4.7223 1.7052 2.2682 +v 4.7814 1.6794 2.3235 +v 4.8336 1.5978 2.3877 +v 4.8551 1.4778 2.4702 +v 4.6717 1.7736 2.4467 +v 4.7097 1.7372 2.4661 +v 4.9113 1.3134 2.7447 +v 4.9184 1.3661 2.6879 +v 4.9068 1.2781 2.7589 +v 4.9525 1.2675 2.6476 +v 4.9545 1.2372 2.6651 +v 4.9218 1.2221 2.7246 +v 4.9421 1.3395 2.6352 +v 4.9358 1.3631 2.6573 +v 4.9408 1.2280 2.7315 +v 4.9324 1.3539 2.6622 +v 4.9229 1.2722 2.7569 +v 4.9627 1.2422 2.6781 +v 4.9410 1.3318 2.6430 +v 4.9622 1.2640 2.6598 +v 4.9202 1.3053 2.7457 +v 4.9028 1.5513 2.5446 +v 4.8738 1.6829 2.4692 +v 4.8076 1.8305 2.3787 +v 4.8211 1.7830 2.4094 +v 4.9164 1.3556 2.6909 +v 4.7733 1.4853 2.5107 +v 4.7362 1.5992 2.4350 +v 4.6400 1.7202 2.3344 +v 4.6820 1.6730 2.3783 +v 4.9173 1.3797 2.6812 +v 4.8864 1.3336 2.7299 +v 4.9414 1.2868 2.6242 +v 4.9437 1.3490 2.6280 +v 4.9321 1.2569 2.6326 +v 4.8743 1.3054 2.7427 +v 4.9364 1.3757 2.6503 +v 4.8788 1.2316 2.6985 +v 4.8220 1.3244 2.6170 +v 4.9324 1.4097 2.6281 +v 4.8347 1.3888 2.6857 +v 4.8954 1.3348 2.5719 +v 4.9354 1.3872 2.6019 +v 4.9179 1.3516 2.5775 +v 4.8570 1.4062 2.6854 +v 4.9078 1.4201 2.6553 +v 4.8230 1.6873 2.3519 +v 4.8459 1.7358 2.3916 +v 4.8020 1.7605 2.4555 +v 4.7956 1.6628 2.3403 +v 4.7250 1.7251 2.4786 +v 4.7514 1.7447 2.4855 +v 4.8328 1.7577 2.4225 +v 4.6939 1.6562 2.3894 +v 4.8836 1.6618 2.4814 +v 4.8361 1.5813 2.3952 +v 4.8895 1.6388 2.4504 +v 4.8674 1.6017 2.4105 +v 4.7482 1.5763 2.4511 +v 4.8856 1.6390 2.4925 +v 4.7724 1.6361 2.5403 +v 4.8381 1.5631 2.4059 +v 4.8980 1.4543 2.6390 +v 4.8477 1.4477 2.6597 +v 4.9054 1.3980 2.5457 +v 4.9301 1.4242 2.5791 +v 4.8752 1.3833 2.5370 +v 4.8205 1.4374 2.6554 +v 4.9267 1.4431 2.6072 +v 4.8112 1.3975 2.5698 +v 4.7498 1.5644 2.4580 +v 4.7750 1.6175 2.5493 +v 4.8601 1.6313 2.5343 +v 4.8009 1.6290 2.5568 +v 4.8904 1.6180 2.4637 +v 4.8592 1.6550 2.5232 +v 4.8699 1.5824 2.4238 +v 4.7977 1.6503 2.5463 +v 4.8697 1.5627 2.4357 +v 4.8916 1.5952 2.4756 +v 4.8885 1.6169 2.5037 +v 4.8411 1.5499 2.4159 +v 4.7572 1.6820 2.5120 +v 4.7840 1.6984 2.5161 +v 4.8633 1.7021 2.4577 +v 4.7285 1.6076 2.4231 +v 4.7421 1.5928 2.4431 +v 4.7674 1.6539 2.5292 +v 4.7934 1.6675 2.5364 +v 4.8535 1.6769 2.5143 +v 4.8501 1.6441 2.3899 +v 4.8706 1.6796 2.4258 +v 4.8317 1.7082 2.4905 +v 4.8240 1.6170 2.3759 +v 4.8845 1.4946 2.6149 +v 4.8984 1.4404 2.5214 +v 4.8730 1.4184 2.5120 +v 4.9163 1.4849 2.5770 +v 4.7965 1.4248 2.5482 +v 4.8409 1.4887 2.6349 +v 4.9154 1.4689 2.5471 +v 4.8132 1.4785 2.6335 +v 4.8905 1.4731 2.6273 +v 4.9026 1.4180 2.5344 +v 4.8748 1.3985 2.5263 +v 4.9204 1.4633 2.5936 +v 4.8062 1.4085 2.5615 +v 4.8453 1.4657 2.6487 +v 4.9220 1.4418 2.5637 +v 4.8177 1.4551 2.6456 +v 4.8436 1.2685 2.6607 +v 4.8521 1.3434 2.7134 +v 4.9413 1.3679 2.6182 +v 4.9172 1.2879 2.6070 +v 4.9339 1.3159 2.6041 +v 4.9343 1.3917 2.6405 +v 4.9131 1.3991 2.6688 +v 4.8736 1.3705 2.7080 +v 4.7651 1.5040 2.5469 +v 4.7327 1.6239 2.4778 +v 4.6366 1.7561 2.3966 +v 4.6773 1.6954 2.4216 +v 4.9093 1.2372 2.7470 +v 4.9299 1.2389 2.7487 +v 4.8689 1.2519 2.7245 +v 4.8117 1.3444 2.6489 +v 4.6897 1.6780 2.4316 +v 4.7433 1.6000 2.4936 +v 4.7448 1.5851 2.5021 +v 4.7998 1.4125 2.6063 +v 4.7230 1.6344 2.4674 +v 4.7395 1.6172 2.4847 +v 4.7854 1.4418 2.5821 +v 4.7955 1.4254 2.5975 +v 4.8341 1.2925 2.6880 +v 4.8288 1.3981 2.5373 +v 4.8220 1.4128 2.5227 +v 4.7726 1.5811 2.4039 +v 4.7590 1.5985 2.3898 +v 4.8684 1.2595 2.6338 +v 4.7282 1.6435 2.3563 +v 4.8969 1.2234 2.6704 +v 4.9542 1.2225 2.7139 +v 4.7154 1.6615 2.3423 +v 4.8361 1.3848 2.5461 +v 4.7794 1.5671 2.4146 +v 4.8468 1.3153 2.5911 +v 4.7803 1.5528 2.4242 +v 4.6611 1.7063 2.2677 +v 4.7672 1.5889 2.3971 +v 4.8028 1.4726 2.4786 +v 4.9403 1.2159 2.7026 +v 4.9242 1.3451 2.6642 +v 4.9437 1.2392 2.7277 +v 4.9263 1.2780 2.7472 +v 4.9619 1.2485 2.6877 +v 4.9380 1.3272 2.6466 +v 4.9595 1.2677 2.6682 +v 4.9217 1.3019 2.7385 +v 4.9145 1.3492 2.6911 +v 4.9341 1.2476 2.7420 +v 4.9517 1.2337 2.7129 +v 4.9475 1.2843 2.7074 +v 4.9506 1.2665 2.7181 +v 4.8801 1.3669 2.5487 +v 4.9096 1.3792 2.5582 +v 4.8119 1.3749 2.5817 +v 4.9023 1.4382 2.6464 +v 4.9320 1.4064 2.5905 +v 4.9298 1.4265 2.6177 +v 4.8240 1.4191 2.6662 +v 4.8509 1.4308 2.6702 +v 4.8006 1.3923 2.6188 +v 4.8398 1.3661 2.5558 +v 4.8143 1.5373 2.3130 +v 4.8485 1.4949 2.2066 +v 4.8791 1.5229 2.2390 +v 4.8661 1.5362 2.2851 +v 4.8562 1.6405 2.2428 +v 4.8704 1.6195 2.1936 +v 4.8335 1.5759 2.1641 +v 4.7964 1.6318 2.2851 +v 4.7643 1.7088 2.2503 +v 4.8019 1.6476 2.1252 +v 4.8369 1.7002 2.1564 +v 4.8075 1.7909 2.1807 +v 4.8147 1.7627 2.1274 +v 4.7775 1.6890 2.0942 +v 4.7499 1.7452 2.2397 +v 4.8219 1.7284 2.2038 +v 4.7702 1.6161 2.2788 +v 4.7917 1.5302 2.3115 +v 4.7472 1.6609 2.0990 +v 4.7734 1.6276 2.1228 +v 4.8041 1.5591 2.1587 +v 4.8264 1.4824 2.2006 +v 4.7293 1.7119 2.2475 +v 4.7398 1.6933 2.2512 +v 4.8624 1.3633 2.3823 +v 4.8772 1.3861 2.3507 +v 4.8615 1.3431 2.3905 +v 4.8903 1.3191 2.3092 +v 4.8895 1.3029 2.3155 +v 4.8807 1.2898 2.3661 +v 4.8892 1.3612 2.3116 +v 4.8855 1.3777 2.3287 +v 4.8896 1.2953 2.3666 +v 4.8855 1.3721 2.3318 +v 4.8705 1.3404 2.3898 +v 4.8955 1.3056 2.3226 +v 4.8902 1.3580 2.3134 +v 4.8959 1.3200 2.3160 +v 4.8717 1.3580 2.3821 +v 4.8800 1.5337 2.2634 +v 4.8698 1.6352 2.2173 +v 4.8197 1.7801 2.1525 +v 4.8338 1.7191 2.1796 +v 4.8779 1.3793 2.3526 +v 4.7671 1.4876 2.2398 +v 4.7429 1.5684 2.2074 +v 4.6982 1.6694 2.1699 +v 4.7155 1.6390 2.1815 +v 4.8765 1.3980 2.3467 +v 4.8492 1.3796 2.3761 +v 4.8838 1.3281 2.2941 +v 4.8888 1.3713 2.3044 +v 4.8786 1.3097 2.2993 +v 4.8424 1.3596 2.3837 +v 4.8861 1.3881 2.3236 +v 4.8450 1.2853 2.3551 +v 4.7901 1.3714 2.2972 +v 4.8914 1.4271 2.3080 +v 4.8170 1.4202 2.3546 +v 4.8522 1.3749 2.2521 +v 4.8928 1.4117 2.2833 +v 4.8705 1.3859 2.2545 +v 4.8359 1.4312 2.3543 +v 4.8785 1.4351 2.3325 +v 4.8101 1.6309 2.1355 +v 4.8427 1.6740 2.1664 +v 4.8309 1.6996 2.2148 +v 4.7825 1.6129 2.1310 +v 4.7456 1.6726 2.2547 +v 4.7700 1.6891 2.2569 +v 4.8432 1.6928 2.1914 +v 4.7240 1.6219 2.1837 +v 4.8727 1.6135 2.2280 +v 4.8105 1.5418 2.1687 +v 4.8729 1.5999 2.2040 +v 4.8379 1.5584 2.1749 +v 4.7534 1.5335 2.2228 +v 4.8736 1.5899 2.2397 +v 4.7789 1.5785 2.2919 +v 4.8140 1.5273 2.1774 +v 4.8744 1.4791 2.3121 +v 4.8288 1.4748 2.3364 +v 4.8639 1.4340 2.2319 +v 4.8905 1.4625 2.2636 +v 4.8430 1.4228 2.2271 +v 4.8087 1.4678 2.3351 +v 4.8890 1.4756 2.2885 +v 4.7816 1.4272 2.2697 +v 4.7589 1.5164 2.2287 +v 4.7840 1.5552 2.3001 +v 4.8618 1.5680 2.2722 +v 4.8091 1.5647 2.3023 +v 4.8733 1.5773 2.2165 +v 4.8591 1.5944 2.2620 +v 4.8409 1.5417 2.1844 +v 4.8038 1.5886 2.2957 +v 4.8426 1.5213 2.1937 +v 4.8748 1.5495 2.2257 +v 4.8754 1.5657 2.2514 +v 4.8167 1.5094 2.1875 +v 4.7668 1.6354 2.2728 +v 4.7917 1.6523 2.2778 +v 4.8626 1.6532 2.2107 +v 4.7384 1.5855 2.1999 +v 4.7481 1.5500 2.2154 +v 4.7748 1.5970 2.2856 +v 4.8004 1.6098 2.2905 +v 4.8586 1.6185 2.2524 +v 4.8287 1.5936 2.1540 +v 4.8638 1.6353 2.1852 +v 4.8478 1.6590 2.2350 +v 4.7993 1.5756 2.1497 +v 4.8684 1.5080 2.2994 +v 4.8567 1.4641 2.2199 +v 4.8370 1.4521 2.2142 +v 4.8830 1.5047 2.2768 +v 4.7802 1.4561 2.2569 +v 4.8212 1.5054 2.3258 +v 4.8836 1.4924 2.2527 +v 4.7999 1.4992 2.3227 +v 4.8710 1.4944 2.3051 +v 4.8601 1.4492 2.2257 +v 4.8396 1.4398 2.2197 +v 4.8855 1.4922 2.2824 +v 4.7823 1.4412 2.2629 +v 4.8253 1.4896 2.3308 +v 4.8871 1.4781 2.2586 +v 4.8061 1.4828 2.3284 +v 4.8061 1.3152 2.3281 +v 4.8282 1.3867 2.3697 +v 4.8927 1.3886 2.2942 +v 4.8675 1.3318 2.2784 +v 4.8785 1.3490 2.2749 +v 4.8916 1.4050 2.3170 +v 4.8800 1.4175 2.3440 +v 4.8420 1.4042 2.3657 +v 4.7610 1.4988 2.2666 +v 4.7400 1.5782 2.2290 +v 4.6919 1.7055 2.2118 +v 4.7146 1.6535 2.2042 +v 4.8693 1.3036 2.3830 +v 4.8798 1.3087 2.3839 +v 4.8340 1.3052 2.3776 +v 4.7873 1.3841 2.3226 +v 4.7227 1.6340 2.2062 +v 4.7488 1.5448 2.2454 +v 4.7542 1.5249 2.2521 +v 4.7790 1.4401 2.2978 +v 4.7367 1.5960 2.2218 +v 4.7444 1.5609 2.2383 +v 4.7759 1.4671 2.2805 +v 4.7787 1.4524 2.2885 +v 4.8017 1.3338 2.3508 +v 4.7967 1.4342 2.2393 +v 4.7932 1.4481 2.2350 +v 4.7590 1.5427 2.1953 +v 4.7487 1.5764 2.1793 +v 4.8245 1.3071 2.3036 +v 4.7328 1.6124 2.1619 +v 4.8580 1.2794 2.3275 +v 4.8955 1.2921 2.3448 +v 4.7239 1.6268 2.1569 +v 4.7973 1.4175 2.2454 +v 4.7649 1.5271 2.2019 +v 4.8068 1.3630 2.2720 +v 4.7719 1.5101 2.2081 +v 4.7073 1.6532 2.1466 +v 4.7539 1.5599 2.1868 +v 4.7816 1.4791 2.2188 +v 4.8870 1.2863 2.3412 +v 4.8847 1.3671 2.3331 +v 4.8947 1.3048 2.3654 +v 4.8769 1.3348 2.3844 +v 4.8954 1.3108 2.3274 +v 4.8881 1.3530 2.3168 +v 4.8942 1.3205 2.3213 +v 4.8718 1.3527 2.3789 +v 4.8765 1.3742 2.3537 +v 4.8848 1.3147 2.3798 +v 4.8978 1.2996 2.3465 +v 4.8882 1.3373 2.3500 +v 4.8912 1.3245 2.3550 +v 4.8469 1.4083 2.2341 +v 4.8664 1.4158 2.2401 +v 4.7822 1.4111 2.2775 +v 4.8757 1.4607 2.3192 +v 4.8913 1.4406 2.2721 +v 4.8900 1.4550 2.2969 +v 4.8104 1.4506 2.3419 +v 4.8313 1.4583 2.3432 +v 4.7798 1.4247 2.3063 +v 4.7984 1.4029 2.2511 +v 3.9118 2.1358 2.6379 +v 4.0829 2.1280 2.6982 +v 4.0239 2.1768 2.6968 +v 3.9218 2.1751 2.6635 +v 3.9216 2.0971 2.6181 +v 4.0823 2.0967 2.6674 +v 3.8669 2.0342 2.7921 +v 3.9000 2.0782 2.7709 +v 3.8547 1.9997 2.8191 +v 3.9988 2.0783 2.8466 +v 3.9931 2.0394 2.8713 +v 3.9328 1.9815 2.8756 +v 3.9745 2.1010 2.8093 +v 3.9384 2.1031 2.7803 +v 3.9148 2.0013 2.8978 +v 3.9367 2.0941 2.7869 +v 3.8570 2.0121 2.8497 +v 3.9670 2.0446 2.8923 +v 3.9687 2.0958 2.8216 +v 3.9794 2.0817 2.8556 +v 3.8690 2.0360 2.8078 +v 3.9627 2.1976 2.6885 +v 3.8982 2.0741 2.7791 +v 4.0255 2.0544 2.6191 +v 3.9030 2.0864 2.7592 +v 3.8690 2.0436 2.7708 +v 4.0148 2.0787 2.8302 +v 3.9814 2.1052 2.7982 +v 4.0148 2.0401 2.8445 +v 3.8620 2.0021 2.7831 +v 3.9411 2.1108 2.7721 +v 3.9475 1.9736 2.8419 +v 3.9869 1.9911 2.7447 +v 3.9481 2.1311 2.7539 +v 3.8880 2.0231 2.7202 +v 4.0469 2.0491 2.7796 +v 3.9964 2.1186 2.7718 +v 4.0419 2.0862 2.7871 +v 3.8829 2.0677 2.7250 +v 3.9097 2.1104 2.7343 +v 3.9145 2.1328 2.7126 +v 3.8951 2.0922 2.6919 +v 4.0591 2.0991 2.7503 +v 4.0083 2.1360 2.7474 +v 4.0687 2.0674 2.7277 +v 3.9033 2.0512 2.6750 +v 3.9535 2.1531 2.7362 +v 4.0097 2.0160 2.6790 +v 4.0355 2.0696 2.5865 +v 3.9308 2.1162 2.5905 +v 3.9320 2.1919 2.6316 +v 3.9204 2.1537 2.6102 +v 4.0950 2.1485 2.6642 +v 4.0349 2.1944 2.6671 +v 3.9741 2.2132 2.6600 +v 4.0974 2.1146 2.6361 +v 3.9153 2.1595 2.6862 +v 4.0696 2.1159 2.7164 +v 4.0765 2.0843 2.6927 +v 3.9569 2.1818 2.7126 +v 4.0169 2.0327 2.6451 +v 3.9049 2.1185 2.6611 +v 4.0172 2.1586 2.7183 +v 3.9143 2.0771 2.6423 +v 3.9128 2.1450 2.7020 +v 4.0648 2.1050 2.7348 +v 4.0733 2.0745 2.7116 +v 3.9530 2.1679 2.7279 +v 4.0131 2.0234 2.6599 +v 3.8995 2.1034 2.6791 +v 4.0123 2.1460 2.7361 +v 3.9078 2.0620 2.6614 +v 3.9683 1.9766 2.7907 +v 3.8736 2.0084 2.7484 +v 3.9888 2.1110 2.7859 +v 4.0311 2.0431 2.8151 +v 4.0289 2.0813 2.8106 +v 3.9445 2.1201 2.7637 +v 3.9065 2.0978 2.7470 +v 3.8766 2.0549 2.7470 +v 3.9605 2.0588 2.6073 +v 3.8815 1.9753 2.8512 +v 3.8726 1.9996 2.8744 +v 3.8936 1.9675 2.8148 +v 3.9285 1.9859 2.7222 +v 3.9713 2.0806 2.5761 +v 3.9479 2.0118 2.6636 +v 3.9569 2.0340 2.6326 +v 3.9513 2.0197 2.6501 +v 3.9117 1.9716 2.7697 +v 4.0567 2.0492 2.6883 +v 4.0604 2.0593 2.6722 +v 4.0126 2.0115 2.8088 +v 3.9931 2.0069 2.8482 +v 3.9505 2.0183 2.9037 +v 4.0524 2.0424 2.7037 +v 4.0299 2.0215 2.7654 +v 4.0803 2.0884 2.6147 +v 4.0720 2.0794 2.6517 +v 3.9702 2.0071 2.8797 +v 3.9365 2.0874 2.7920 +v 3.9084 2.0215 2.8893 +v 3.8680 2.0166 2.8545 +v 3.9553 2.0504 2.8865 +v 3.9697 2.0923 2.8212 +v 3.9709 2.0744 2.8518 +v 3.8738 2.0376 2.8163 +v 3.8990 2.0703 2.7802 +v 3.8794 2.0137 2.8748 +v 3.9439 2.0348 2.8960 +v 3.9152 2.0616 2.8445 +v 3.9085 2.0386 2.8772 +v 4.0603 2.0588 2.7488 +v 4.0513 2.0925 2.7677 +v 4.0046 2.0104 2.6940 +v 3.9118 2.1227 2.7237 +v 4.0031 2.1275 2.7607 +v 3.9507 2.1432 2.7464 +v 3.8971 2.0393 2.6930 +v 3.8896 2.0813 2.7064 +v 3.9431 2.0028 2.6813 +v 4.0447 2.0345 2.7259 +v 4.5110 1.8758 2.9815 +v 4.5986 1.7957 2.9125 +v 4.6123 1.8871 2.8022 +v 4.5160 1.9666 2.8845 +v 4.5796 1.9571 2.6384 +v 4.5025 2.0565 2.7450 +v 4.5022 2.0250 2.7913 +v 4.5916 1.9514 2.7015 +v 4.5229 1.7287 3.1452 +v 4.5974 1.6638 3.0993 +v 4.5276 1.7102 3.1519 +v 4.5895 1.6587 3.1111 +v 4.6009 1.6704 3.0814 +v 4.5123 1.7444 3.1277 +v 4.5068 2.0051 2.8179 +v 4.5960 1.9329 2.7397 +v 4.6101 1.8493 2.8365 +v 4.5175 1.9340 2.9270 +v 4.4982 1.7752 3.0889 +v 4.5996 1.7328 2.9948 +v 4.4993 1.8029 3.0590 +v 4.6064 1.8321 2.8587 +v 4.5137 1.9114 2.9483 +v 4.5980 1.7062 3.0293 +v 4.6124 1.8692 2.8165 +v 4.5195 1.9500 2.9073 +v 4.5130 1.9784 2.8638 +v 4.6060 1.9071 2.7794 +v 4.5087 1.8274 3.0339 +v 4.5996 1.7572 2.9659 +v 4.5032 1.8146 3.0471 +v 4.6004 1.7445 2.9815 +v 4.5983 1.6829 3.0522 +v 4.5022 1.7580 3.1093 +v 4.5836 1.6557 3.1120 +v 4.5280 1.7041 3.1516 +v 4.5668 1.6735 3.1502 +v 4.5990 1.7206 3.0102 +v 4.4971 1.7922 3.0694 +v 4.7246 1.6089 2.8586 +v 4.7950 1.5541 2.7656 +v 4.7942 1.6923 2.6532 +v 4.7105 1.7483 2.7573 +v 4.7048 1.8492 2.4630 +v 4.6005 1.9226 2.5922 +v 4.6558 1.8428 2.6589 +v 4.7470 1.7900 2.5530 +v 4.7748 1.4510 2.9920 +v 4.8288 1.4048 2.9154 +v 4.7762 1.4403 2.9924 +v 4.8249 1.4052 2.9245 +v 4.8302 1.4148 2.9014 +v 4.7707 1.4672 2.9824 +v 4.6707 1.8219 2.6783 +v 4.7612 1.7662 2.5751 +v 4.7912 1.6334 2.7046 +v 4.7173 1.6879 2.7971 +v 4.7607 1.5031 2.9501 +v 4.8135 1.4758 2.8367 +v 4.7544 1.5318 2.9262 +v 4.7906 1.5990 2.7302 +v 4.7175 1.6548 2.8211 +v 4.8191 1.4454 2.8641 +v 4.7977 1.6706 2.6759 +v 4.7147 1.7238 2.7735 +v 4.7046 1.7670 2.7377 +v 4.7835 1.7095 2.6334 +v 4.7460 1.5639 2.9004 +v 4.8073 1.5089 2.8094 +v 4.7482 1.5464 2.9150 +v 4.8109 1.4915 2.8234 +v 4.8265 1.4254 2.8858 +v 4.7667 1.4831 2.9686 +v 4.8225 1.4027 2.9304 +v 4.7795 1.4352 2.9910 +v 4.8069 1.4163 2.9646 +v 4.8153 1.4629 2.8483 +v 4.7563 1.5170 2.9382 +v 4.8476 1.5621 2.5873 +v 4.8966 1.5143 2.4974 +v 4.8746 1.6399 2.4162 +v 4.8126 1.6903 2.5204 +v 4.8018 1.8164 2.2809 +v 4.7107 1.8265 2.4273 +v 4.7596 1.7790 2.4620 +v 4.8244 1.7363 2.3424 +v 4.9104 1.3467 2.7177 +v 4.9488 1.3027 2.6368 +v 4.9133 1.3357 2.7193 +v 4.9538 1.2995 2.6445 +v 4.9457 1.3144 2.6248 +v 4.9037 1.3646 2.7085 +v 4.7762 1.7575 2.4743 +v 4.8358 1.7061 2.3649 +v 4.8851 1.5996 2.4423 +v 4.8193 1.6595 2.5412 +v 4.8823 1.4181 2.6739 +v 4.9200 1.4090 2.5581 +v 4.8727 1.4544 2.6520 +v 4.8839 1.5779 2.4550 +v 4.8262 1.6348 2.5515 +v 4.9304 1.3692 2.5873 +v 4.8836 1.6212 2.4272 +v 4.8150 1.6766 2.5312 +v 4.8053 1.7068 2.5065 +v 4.8613 1.6624 2.4036 +v 4.8633 1.4940 2.6270 +v 4.9090 1.4540 2.5326 +v 4.8682 1.4725 2.6406 +v 4.9150 1.4303 2.5463 +v 4.9399 1.3431 2.6076 +v 4.8915 1.3913 2.6912 +v 4.9516 1.2995 2.6514 +v 4.9176 1.3319 2.7152 +v 4.9381 1.3111 2.6883 +v 4.9235 1.3911 2.5689 +v 4.8776 1.4385 2.6614 +v 4.8413 1.5384 2.3035 +v 4.8682 1.5118 2.2218 +v 4.8622 1.6036 2.1780 +v 4.8310 1.6410 2.2717 +v 4.8059 1.7365 2.1107 +v 4.7838 1.7917 2.2218 +v 4.8012 1.7263 2.2313 +v 4.8264 1.6752 2.1384 +v 4.8681 1.3810 2.3680 +v 4.8898 1.3418 2.3058 +v 4.8718 1.3736 2.3687 +v 4.8922 1.3389 2.3124 +v 4.8870 1.3513 2.2944 +v 4.8628 1.3949 2.3634 +v 4.8099 1.7011 2.2396 +v 4.8319 1.6547 2.1475 +v 4.8614 1.5624 2.1984 +v 4.8345 1.5930 2.2841 +v 4.8593 1.4399 2.3487 +v 4.8836 1.4491 2.2497 +v 4.8549 1.4793 2.3284 +v 4.8635 1.5372 2.2096 +v 4.8370 1.5683 2.2921 +v 4.8847 1.3977 2.2657 +v 4.8630 1.5823 2.1900 +v 4.8341 1.6187 2.2773 +v 4.8255 1.6603 2.2610 +v 4.8569 1.6194 2.1703 +v 4.8481 1.5092 2.3158 +v 4.8749 1.4789 2.2364 +v 4.8513 1.4946 2.3224 +v 4.8791 1.4624 2.2422 +v 4.8868 1.3674 2.2768 +v 4.8589 1.4166 2.3575 +v 4.8914 1.3383 2.3157 +v 4.8715 1.3666 2.3668 +v 4.8848 1.3543 2.3419 +v 4.8843 1.4319 2.2558 +v 4.8578 1.4615 2.3356 +v 4.4462 1.8318 2.9552 +v 4.4503 1.9235 2.8700 +v 4.4132 2.0006 2.7059 +v 4.4232 1.9751 2.7659 +v 4.5826 1.5815 3.1623 +v 4.5209 1.6317 3.2147 +v 4.5244 1.7527 2.8727 +v 4.5307 1.8280 2.7808 +v 4.4967 1.8872 2.5977 +v 4.5132 1.8952 2.6726 +v 4.4768 1.6518 3.1709 +v 4.4593 1.7216 3.0866 +v 4.4352 1.9554 2.8062 +v 4.4497 1.8983 2.8988 +v 4.4490 1.8797 2.9141 +v 4.4595 1.7690 3.0327 +v 4.4481 1.9324 2.8552 +v 4.4496 1.9109 2.8855 +v 4.4588 1.7916 3.0118 +v 4.4602 1.7798 3.0228 +v 4.5391 1.6088 3.0699 +v 4.5064 1.6322 3.2063 +v 4.4654 1.6981 3.1188 +v 4.5236 1.7038 2.9568 +v 4.5295 1.8202 2.7971 +v 4.5285 1.8433 2.7581 +v 4.5226 1.7100 2.9432 +v 4.5250 1.8707 2.7159 +v 4.5853 1.5897 3.1655 +v 4.5631 1.5829 3.1185 +v 4.5235 1.6950 2.9685 +v 4.5237 1.6389 3.0297 +v 4.5287 1.7927 2.8291 +v 4.5295 1.8073 2.8100 +v 4.5307 1.6351 3.2083 +v 4.5823 1.5981 3.1691 +v 4.5577 1.6177 3.1926 +v 4.4577 1.7520 3.0486 +v 4.5221 1.6766 2.9866 +v 4.6599 1.5663 2.8388 +v 4.6409 1.7046 2.7329 +v 4.5164 1.8558 2.5706 +v 4.5796 1.7865 2.6218 +v 4.8301 1.3221 2.9666 +v 4.7919 1.3700 3.0451 +v 4.7184 1.4969 2.7397 +v 4.7079 1.6291 2.6267 +v 4.6321 1.7766 2.4546 +v 4.6596 1.7172 2.5278 +v 4.7398 1.3759 3.0306 +v 4.7025 1.4537 2.9498 +v 4.5964 1.7675 2.6574 +v 4.6425 1.6678 2.7695 +v 4.6483 1.6195 2.8030 +v 4.6893 1.4995 2.9095 +v 4.6339 1.7188 2.7212 +v 4.6426 1.6918 2.7486 +v 4.6853 1.5304 2.8837 +v 4.6876 1.5163 2.8951 +v 4.7702 1.3408 2.9049 +v 4.7823 1.3651 3.0465 +v 4.7132 1.4034 2.9903 +v 4.7411 1.4502 2.8020 +v 4.7082 1.6140 2.6400 +v 4.7024 1.6436 2.6114 +v 4.7392 1.4631 2.7884 +v 4.6730 1.6908 2.5496 +v 4.8328 1.3323 2.9807 +v 4.8068 1.3157 2.9437 +v 4.7432 1.4344 2.8137 +v 4.7571 1.3896 2.8576 +v 4.7102 1.5412 2.6969 +v 4.7113 1.5866 2.6612 +v 4.7988 1.3687 3.0367 +v 4.8300 1.3362 2.9858 +v 4.8199 1.3517 3.0120 +v 4.6930 1.4838 2.9236 +v 4.7467 1.4178 2.8279 +v 4.7765 1.5262 2.5791 +v 4.7451 1.6456 2.5050 +v 4.6530 1.7616 2.4245 +v 4.6897 1.7151 2.4496 +v 4.9516 1.2210 2.6843 +v 4.9261 1.2499 2.7552 +v 4.8318 1.4720 2.4690 +v 4.8027 1.5866 2.3850 +v 4.6969 1.7026 2.2746 +v 4.7484 1.6653 2.3279 +v 4.8689 1.2738 2.7381 +v 4.8197 1.3698 2.6756 +v 4.7022 1.6998 2.4614 +v 4.7553 1.6195 2.5228 +v 4.7575 1.6014 2.5331 +v 4.8055 1.4246 2.6376 +v 4.7364 1.6593 2.4954 +v 4.7508 1.6363 2.5118 +v 4.7944 1.4642 2.6191 +v 4.8020 1.4425 2.6286 +v 4.8895 1.2641 2.6203 +v 4.9050 1.2526 2.7555 +v 4.8396 1.3168 2.7066 +v 4.8532 1.3945 2.5280 +v 4.8027 1.5767 2.3920 +v 4.7929 1.6024 2.3757 +v 4.8520 1.4133 2.5106 +v 4.7640 1.6463 2.3431 +v 4.9611 1.2255 2.6988 +v 4.9109 1.2291 2.6535 +v 4.8537 1.3814 2.5400 +v 4.8672 1.3171 2.5808 +v 4.8099 1.5504 2.4099 +v 4.8050 1.5639 2.4013 +v 4.9302 1.2592 2.7454 +v 4.9579 1.2376 2.7039 +v 4.9483 1.2520 2.7245 +v 4.8083 1.4055 2.6512 +v 4.8587 1.3639 2.5495 +v 4.7684 1.5118 2.2939 +v 4.7476 1.5940 2.2553 +v 4.7090 1.7091 2.2273 +v 4.7179 1.6704 2.2254 +v 4.8877 1.2930 2.3247 +v 4.8732 1.3214 2.3887 +v 4.8024 1.4763 2.2055 +v 4.7760 1.5541 2.1669 +v 4.7222 1.6505 2.1158 +v 4.7433 1.6187 2.1330 +v 4.8376 1.3347 2.3845 +v 4.7947 1.4000 2.3424 +v 4.7243 1.6463 2.2286 +v 4.7558 1.5628 2.2719 +v 4.7615 1.5407 2.2819 +v 4.7884 1.4541 2.3210 +v 4.7438 1.6106 2.2452 +v 4.7525 1.5793 2.2653 +v 4.7813 1.4828 2.3048 +v 4.7862 1.4682 2.3115 +v 4.8516 1.3211 2.2896 +v 4.8631 1.3224 2.3891 +v 4.8123 1.3586 2.3643 +v 4.8176 1.4327 2.2243 +v 4.7825 1.5379 2.1757 +v 4.7694 1.5705 2.1587 +v 4.8135 1.4466 2.2181 +v 4.7476 1.6033 2.1391 +v 4.8949 1.2969 2.3308 +v 4.8717 1.2964 2.3098 +v 4.8212 1.4178 2.2296 +v 4.8335 1.3666 2.2560 +v 4.7933 1.5053 2.1937 +v 4.7877 1.5231 2.1841 +v 4.8810 1.3243 2.3843 +v 4.8974 1.3039 2.3352 +v 4.8929 1.3172 2.3581 +v 4.7881 1.4365 2.3276 +v 4.8245 1.4032 2.2360 +v 4.5331 2.0792 2.7123 +v 4.5945 2.0231 2.6399 +v 4.4545 2.0664 2.7200 +v 4.4158 2.0428 2.7048 +v 4.5718 2.0579 2.6797 +v 4.4262 1.9470 2.6169 +v 4.4195 1.9701 2.6431 +v 4.4506 1.9124 2.5601 +v 4.6748 1.9642 2.5577 +v 4.7439 1.9268 2.4746 +v 4.7250 1.9435 2.5248 +v 4.5051 1.8137 2.4455 +v 4.4759 1.8545 2.4970 +v 4.5464 1.7993 2.4046 +v 4.7519 1.8797 2.3914 +v 4.8159 1.8617 2.2983 +v 4.8008 1.8711 2.3510 +v 4.6149 1.7359 2.3035 +v 4.5863 1.7639 2.3486 +v 4.6482 1.7121 2.2506 +v 4.7849 1.8347 2.1726 +v 4.7990 1.7943 2.1006 +v 4.7605 1.7114 2.0745 +v 4.7248 1.6839 2.0820 +v 4.8016 1.8161 2.1348 +v 4.6850 1.6855 2.1538 +v 4.6720 1.7065 2.1950 +v 4.6956 1.6690 2.1392 +v 4.5044 2.0753 2.7176 +v 4.7875 1.7688 2.0914 +v 4.4047 2.0052 2.6448 +v 4.6951 1.6736 2.1144 +v 4.5368 2.0992 2.6699 +v 4.5882 2.0572 2.6212 +v 4.4277 2.0952 2.6703 +v 4.5690 2.0929 2.6407 +v 4.3818 1.9859 2.5582 +v 4.3787 2.0309 2.6219 +v 4.3986 1.9474 2.4978 +v 4.6798 1.9971 2.5134 +v 4.7309 1.9672 2.4575 +v 4.7103 2.0033 2.4731 +v 4.4655 1.8864 2.3823 +v 4.4331 1.9129 2.4331 +v 4.5055 1.8594 2.3301 +v 4.7496 1.9149 2.3401 +v 4.7909 1.9032 2.2808 +v 4.7733 1.9223 2.3042 +v 4.5674 1.7784 2.2282 +v 4.5341 1.8203 2.2743 +v 4.5993 1.7412 2.1754 +v 4.7699 1.8662 2.1405 +v 4.7783 1.8249 2.0921 +v 4.7437 1.7500 2.0529 +v 4.7721 1.8590 2.1082 +v 4.6912 1.7009 2.0707 +v 4.6334 1.7082 2.1124 +v 4.5048 2.1172 2.6595 +v 4.7581 1.8216 2.0594 +v 4.5721 1.7584 2.1341 +v 4.4034 2.1374 2.6161 +v 4.5630 2.1237 2.6035 +v 4.3632 2.0459 2.5928 +v 4.3556 2.0199 2.5375 +v 4.3714 1.9800 2.4656 +v 4.6944 2.0347 2.4394 +v 4.4536 1.9233 2.3502 +v 4.4110 1.9499 2.4057 +v 4.4899 1.8992 2.2957 +v 4.5157 1.8647 2.2405 +v 4.6093 1.8329 1.9141 +v 3.9974 2.3365 2.3152 +v 4.0053 2.2448 2.2938 +v 4.7152 1.9437 2.3530 +v 4.5959 2.0546 2.5765 +v 4.6050 2.2027 2.2487 +v 4.4649 2.1644 2.5985 +v 4.3137 2.0573 2.4993 +v 4.5456 1.8082 1.9379 +v 4.2893 2.2203 2.5065 +v 4.3380 2.0365 2.4255 +v 4.4278 1.9798 2.3128 +v 4.3858 2.0059 2.3626 +v 4.4685 1.9492 2.2640 +v 4.5152 1.8644 2.1499 +v 4.4970 1.9150 2.2108 +v 4.5387 1.8008 2.0814 +v 4.7334 1.9341 2.1175 +v 4.7346 1.8455 2.0269 +v 4.6594 1.7631 1.9938 +v 4.6773 1.7264 2.0428 +v 4.7404 1.9068 2.0609 +v 4.0320 2.1670 2.3049 +v 4.1009 2.1300 2.3403 +v 4.7252 1.8913 2.3982 +v 4.4269 2.3132 2.3819 +v 4.6953 1.8267 1.9860 +v 4.6497 2.1271 2.3408 +v 4.5543 2.1850 2.4382 +v 4.7135 2.0022 2.1246 +v 4.0144 2.3465 2.2137 +v 4.0350 2.2370 2.1949 +v 4.0645 2.1608 2.2152 +v 4.1445 2.1158 2.2728 +v 4.2526 2.0825 2.3709 +v 4.4968 2.2202 2.4907 +v 4.7139 1.9721 2.0746 +v 4.7122 1.8815 1.9928 +v 4.7219 1.7897 2.0216 +v 4.7208 1.9393 2.0263 +v 4.1752 2.1186 2.3960 +v 4.2342 2.1170 2.4471 +v 4.7691 1.9123 2.2243 +v 4.6639 2.0808 2.2904 +v 4.6045 2.1531 2.3905 +v 4.7140 2.0350 2.1792 +v 4.0961 2.4293 2.2748 +v 4.2413 2.3557 2.4121 +v 4.6927 2.0152 2.0276 +v 4.6993 1.9739 1.9839 +v 4.5439 1.8138 2.1806 +v 4.7181 1.9698 2.4119 +v 4.4028 2.4315 2.1503 +v 4.6840 2.0497 2.2347 +v 4.7037 1.9903 2.3001 +v 4.7341 1.9895 2.2403 +v 4.5988 2.2114 1.9160 +v 4.5443 2.3302 2.0233 +v 4.4640 2.3959 2.1080 +v 4.5876 2.2541 1.9492 +v 4.5676 2.2942 1.9854 +v 4.3142 2.4673 2.1855 +v 4.6054 2.1711 1.8851 +v 4.4729 2.0197 1.7447 +v 4.4278 1.9293 1.8459 +v 4.6070 2.0985 1.8333 +v 4.1951 2.3427 2.4364 +v 4.7308 1.9211 2.4356 +v 4.5122 2.3638 2.0641 +v 4.6534 2.1245 2.1575 +v 4.4581 1.9487 1.7868 +v 4.6518 1.8783 1.9232 +v 4.6252 2.0809 2.4586 +v 4.6859 2.0122 2.3644 +v 4.7405 1.9580 2.1780 +v 4.6808 2.0970 2.1117 +v 4.5551 2.2311 2.2934 +v 4.6294 2.1608 2.2031 +v 4.5841 2.1118 2.5068 +v 4.6798 2.0593 2.4159 +v 4.5422 2.1598 2.5648 +v 4.6858 2.0555 2.0686 +v 4.5012 2.2692 2.3402 +v 4.6392 2.0213 2.5161 +v 4.7907 1.8545 2.2526 +v 4.4633 2.0315 2.7688 +v 4.5419 2.0376 2.7590 +v 4.5906 1.9833 2.6977 +v 4.5701 1.9204 2.6615 +v 4.5399 1.9068 2.6522 +v 4.4336 2.0131 2.7588 +v 4.5762 2.0198 2.7337 +v 4.4393 1.9227 2.6818 +v 4.4158 1.9545 2.7088 +v 4.4790 1.9121 2.6572 +v 4.5019 2.0421 2.7663 +v 4.5878 1.9507 2.6775 +v 4.4166 1.9910 2.7381 +v 4.5082 1.9027 2.6480 +v 4.5595 1.7666 2.5214 +v 4.7316 1.8883 2.5793 +v 4.5774 1.8394 2.6152 +v 4.6689 1.7614 2.4890 +v 4.7304 1.8145 2.5215 +v 4.6363 1.8780 2.6293 +v 4.6030 1.7532 2.4902 +v 4.5446 1.7952 2.5542 +v 4.7941 1.6682 2.1124 +v 4.8273 1.7297 2.1433 +v 4.6380 1.7567 2.4881 +v 4.5580 1.8150 2.5889 +v 4.6772 1.7315 2.4367 +v 4.7332 1.6872 2.3085 +v 4.7537 1.7022 2.2984 +v 4.6860 1.7467 2.4541 +v 4.7099 1.7707 2.4586 +v 4.7817 1.8029 2.4292 +v 4.6646 1.7093 2.4151 +v 4.7058 1.6805 2.3222 +v 4.7457 1.7931 2.4506 +v 4.8154 1.7648 2.3216 +v 4.8160 1.7616 2.1897 +v 4.7666 1.7264 2.2471 +v 4.8153 1.8043 2.3939 +v 4.6693 1.6867 2.3665 +v 4.8280 1.7915 2.3573 +v 4.7827 1.7267 2.2982 +v 4.7370 1.6333 2.1255 +v 4.7187 1.6899 2.2267 +v 4.7089 1.6525 2.1782 +v 4.8262 1.7494 2.1665 +v 4.8180 1.7021 2.1244 +v 4.7924 1.7579 2.2232 +v 4.7054 1.7841 2.5021 +v 4.7519 1.8581 2.5468 +v 4.6818 1.8880 2.6125 +v 4.5992 1.8578 2.6304 +v 4.7659 1.6429 2.1130 +v 4.7400 1.7020 2.2517 +v 4.7176 1.6377 2.1515 +v 4.7079 1.6716 2.2041 +v 3.0903 4.0281 0.3437 +v 2.9598 3.9399 0.5525 +v 2.8646 3.8635 0.5727 +v 2.6865 3.6914 0.4766 +v 2.6108 3.6413 0.3576 +v 2.5367 3.6164 0.2226 +v 3.0445 4.0031 0.4665 +v 2.9762 3.8589 -0.1544 +v 3.0317 3.9211 -0.0650 +v 3.0869 3.9744 0.0634 +v 3.1021 4.0090 0.2078 +v 2.9100 3.8045 -0.1981 +v 2.8368 3.7624 -0.2199 +v 2.5482 3.6372 -0.1001 +v 2.5146 3.6188 -0.0302 +v 2.4981 3.6023 0.0753 +v 2.7443 3.7259 -0.2231 +v 3.1707 3.9361 0.3663 +v 3.0363 3.8576 0.5577 +v 2.9436 3.7792 0.5747 +v 2.7599 3.6069 0.4664 +v 2.6788 3.5548 0.3556 +v 2.6104 3.5239 0.2268 +v 3.1204 3.9151 0.4805 +v 3.0963 3.7429 -0.1204 +v 3.1454 3.8080 -0.0378 +v 3.1907 3.8703 0.0895 +v 3.1907 3.9129 0.2308 +v 3.0387 3.6867 -0.1622 +v 2.9752 3.6389 -0.1909 +v 2.6615 3.5447 -0.1011 +v 2.6146 3.5271 -0.0300 +v 2.5882 3.5123 0.0776 +v 2.8861 3.6053 -0.1892 +v 3.2346 3.8694 0.3931 +v 3.0924 3.7987 0.5659 +v 3.0038 3.7160 0.5793 +v 2.8156 3.5459 0.4632 +v 2.7300 3.4949 0.3649 +v 2.6693 3.4619 0.2371 +v 3.1784 3.8521 0.4967 +v 3.1858 3.6535 -0.0825 +v 3.2275 3.7248 -0.0021 +v 3.2650 3.7950 0.1204 +v 3.2602 3.8420 0.2597 +v 3.1350 3.5937 -0.1301 +v 3.0754 3.5441 -0.1675 +v 2.7511 3.4694 -0.0959 +v 2.6966 3.4581 -0.0231 +v 2.6608 3.4504 0.0878 +v 2.9846 3.5150 -0.1585 +v 3.2937 3.8123 0.4265 +v 3.1455 3.7444 0.5788 +v 3.0573 3.6646 0.5885 +v 2.8681 3.4929 0.4713 +v 2.7809 3.4370 0.3778 +v 2.7295 3.4004 0.2542 +v 3.2318 3.7979 0.5211 +v 3.2640 3.5765 -0.0352 +v 3.3005 3.6521 0.0434 +v 3.3266 3.7303 0.1568 +v 3.3232 3.7824 0.2955 +v 3.2144 3.5152 -0.0886 +v 3.1530 3.4653 -0.1395 +v 2.8364 3.3977 -0.0745 +v 2.7807 3.3884 0.0006 +v 2.7368 3.3883 0.1083 +v 3.0700 3.4338 -0.1298 +v 3.3511 3.7606 0.4604 +v 3.2005 3.6997 0.6086 +v 3.1084 3.6240 0.6091 +v 2.9206 3.4397 0.4959 +v 2.8468 3.3662 0.4002 +v 2.8076 3.3210 0.2828 +v 3.2888 3.7456 0.5537 +v 3.3438 3.5008 0.0334 +v 3.3775 3.5802 0.1048 +v 3.3930 3.6629 0.2071 +v 3.3842 3.7267 0.3346 +v 3.2981 3.4326 -0.0185 +v 3.2411 3.3745 -0.0696 +v 2.9470 3.2988 -0.0012 +v 2.8805 3.2999 0.0579 +v 2.8282 3.3079 0.1478 +v 3.1658 3.3440 -0.0578 +v 3.4334 3.6926 0.5167 +v 3.2656 3.6567 0.6512 +v 3.1586 3.5983 0.6565 +v 2.9628 3.3892 0.5528 +v 2.9084 3.2916 0.4568 +v 2.8909 3.2274 0.3418 +v 3.3621 3.6866 0.6026 +v 3.4504 3.4012 0.1319 +v 3.4877 3.4871 0.1955 +v 3.4985 3.5724 0.2980 +v 3.4773 3.6478 0.4113 +v 3.4023 3.3295 0.0846 +v 3.3405 3.2700 0.0485 +v 3.0491 3.2045 0.1241 +v 2.9806 3.2064 0.1652 +v 2.9256 3.2113 0.2374 +v 3.2661 3.2479 0.0577 +v 3.5343 3.5967 0.6027 +v 3.3401 3.6101 0.7241 +v 3.2324 3.5541 0.7432 +v 3.0208 3.3173 0.6663 +v 2.9737 3.2123 0.5762 +v 2.9677 3.1301 0.4742 +v 3.4482 3.6092 0.6797 +v 3.5799 3.2706 0.2745 +v 3.6180 3.3587 0.3286 +v 3.6247 3.4523 0.4205 +v 3.5945 3.5377 0.5163 +v 3.5286 3.2017 0.2304 +v 3.4597 3.1522 0.2103 +v 3.1495 3.0798 0.2841 +v 3.0808 3.0869 0.3320 +v 3.0214 3.1015 0.3933 +v 3.3841 3.1228 0.2026 +v 3.6621 3.4499 0.7587 +v 3.4608 3.4703 0.8676 +v 3.3570 3.4144 0.8876 +v 3.1564 3.1721 0.8447 +v 3.1176 3.0690 0.7761 +v 3.1154 2.9937 0.6959 +v 3.5693 3.4744 0.8229 +v 3.7351 3.1184 0.4604 +v 3.7691 3.1991 0.5183 +v 3.7603 3.3009 0.6034 +v 3.7272 3.3854 0.6869 +v 3.6808 3.0508 0.4207 +v 3.5963 3.0102 0.4114 +v 3.2906 2.9324 0.4948 +v 3.2260 2.9387 0.5423 +v 3.1655 2.9621 0.6178 +v 3.5206 2.9750 0.4129 +v 3.8200 3.2555 0.9643 +v 3.6256 3.2704 1.0456 +v 3.5319 3.2199 1.0586 +v 3.3490 3.0264 1.0392 +v 3.3130 2.9358 0.9860 +v 3.3156 2.8687 0.9137 +v 3.7246 3.2809 1.0146 +v 3.8879 2.9677 0.6943 +v 3.9165 3.0461 0.7539 +v 3.9146 3.1317 0.8251 +v 3.8846 3.2014 0.9002 +v 3.8445 2.8948 0.6449 +v 3.7529 2.8597 0.6425 +v 3.4560 2.7885 0.7309 +v 3.3966 2.8015 0.7772 +v 3.3486 2.8299 0.8459 +v 3.6774 2.8309 0.6508 +v 3.9721 3.0653 1.1956 +v 3.7950 3.0751 1.2697 +v 3.7083 3.0334 1.2724 +v 3.5394 2.8800 1.2479 +v 3.5096 2.8069 1.2030 +v 3.5141 2.7457 1.1399 +v 3.8898 3.0780 1.2402 +v 4.0504 2.8259 0.9305 +v 4.0726 2.8961 0.9953 +v 4.0698 2.9691 1.0612 +v 4.0336 3.0276 1.1347 +v 4.0120 2.7658 0.8968 +v 3.9514 2.7173 0.8804 +v 3.6439 2.6401 0.9737 +v 3.5852 2.6696 1.0224 +v 3.5341 2.6979 1.0835 +v 3.8669 2.6845 0.8942 +v 4.0805 2.9118 1.3632 +v 3.9285 2.9260 1.4359 +v 3.8551 2.8909 1.4538 +v 3.7157 2.7649 1.4284 +v 3.6878 2.7001 1.3879 +v 3.6889 2.6420 1.3345 +v 4.0084 2.9297 1.4069 +v 4.1760 2.7317 1.1551 +v 4.1835 2.7855 1.2006 +v 4.1724 2.8358 1.2524 +v 4.1382 2.8774 1.3088 +v 4.1522 2.6759 1.1234 +v 4.1174 2.6163 1.1142 +v 3.8189 2.5248 1.1800 +v 3.7586 2.5528 1.2240 +v 3.7117 2.5895 1.2764 +v 4.0465 2.5700 1.1152 +v 4.1646 2.7851 1.5119 +v 4.0383 2.8050 1.5811 +v 3.9767 2.7816 1.6078 +v 3.8604 2.6731 1.5855 +v 3.8384 2.6159 1.5468 +v 3.8370 2.5597 1.5001 +v 4.1041 2.8042 1.5517 +v 4.2745 2.6456 1.3318 +v 4.2690 2.6889 1.3716 +v 4.2486 2.7274 1.4181 +v 4.2133 2.7586 1.4665 +v 4.2615 2.5967 1.3014 +v 4.2263 2.5419 1.2826 +v 3.9557 2.4296 1.3440 +v 3.8991 2.4592 1.3902 +v 3.8562 2.5025 1.4436 +v 4.1788 2.4856 1.2839 +v 4.2261 2.6903 1.6275 +v 4.1231 2.7093 1.6946 +v 4.0647 2.6936 1.7232 +v 3.9740 2.6092 1.6997 +v 3.9581 2.5615 1.6641 +v 3.9572 2.5083 1.6252 +v 4.1772 2.7062 1.6643 +v 4.3418 2.5710 1.4632 +v 4.3291 2.6089 1.4995 +v 4.3046 2.6423 1.5421 +v 4.2710 2.6668 1.5858 +v 4.3368 2.5264 1.4341 +v 4.3088 2.4748 1.4135 +v 4.0480 2.3562 1.4706 +v 3.9992 2.3932 1.5189 +v 3.9682 2.4470 1.5738 +v 4.2671 2.4215 1.4091 +v 4.2868 2.6175 1.7207 +v 4.1933 2.6416 1.7878 +v 4.1451 2.6286 1.8127 +v 4.0556 2.5532 1.7780 +v 4.0365 2.5112 1.7459 +v 4.0320 2.4620 1.7118 +v 4.2428 2.6359 1.7572 +v 4.3906 2.4938 1.5647 +v 4.3790 2.5307 1.5984 +v 4.3549 2.5664 1.6398 +v 4.3223 2.5953 1.6831 +v 4.3874 2.4542 1.5371 +v 4.3673 2.4093 1.5137 +v 4.1108 2.3087 1.5597 +v 4.0643 2.3498 1.6098 +v 4.0388 2.4051 1.6649 +v 4.3370 2.3636 1.5042 +v 4.3813 2.5208 1.8528 +v 4.2847 2.5572 1.9221 +v 4.2230 2.5553 1.9421 +v 4.1289 2.4806 1.8917 +v 4.1068 2.4442 1.8549 +v 4.0973 2.4066 1.8146 +v 4.3393 2.5445 1.8896 +v 4.4641 2.3774 1.7081 +v 4.4538 2.4161 1.7415 +v 4.4358 2.4553 1.7790 +v 4.4119 2.4908 1.8166 +v 4.4639 2.3395 1.6775 +v 4.4497 2.2988 1.6431 +v 4.1710 2.2585 1.6557 +v 4.1254 2.3056 1.7111 +v 4.1016 2.3601 1.7685 +v 4.4237 2.2672 1.6127 +v 4.3561 2.4865 2.0651 +v 4.1932 2.5011 2.0905 +v 4.0586 2.3344 2.0871 +v 4.2790 2.5026 2.0899 +v 4.5186 2.3600 1.9080 +v 4.4947 2.3961 1.9451 +v 4.4624 2.4288 1.9849 +v 4.4167 2.4593 2.0270 +v 4.5368 2.3204 1.8720 +v 4.5493 2.2434 1.7970 +v 4.6171 1.9690 2.5635 +v 4.5916 1.9976 2.6090 +v 4.7458 1.9625 2.2777 +v 4.7777 1.8361 2.2004 +v 4.7522 1.8969 2.1526 +v 4.7540 1.8899 2.0922 +v 4.5476 2.2789 1.8369 +v 4.0511 2.0873 2.5450 +v 3.9412 2.1351 2.5567 +v 3.9425 2.2079 2.6019 +v 3.9319 2.1700 2.5767 +v 4.1111 2.1659 2.6237 +v 4.0501 2.2209 2.6338 +v 3.9871 2.2306 2.6268 +v 4.1142 2.1305 2.5957 +v 3.9800 2.1008 2.5367 +v 4.0959 2.1040 2.5751 +v 4.0604 2.0978 2.5190 +v 3.9512 2.1495 2.5232 +v 3.9560 2.2225 2.5624 +v 3.9449 2.1845 2.5401 +v 4.1274 2.1772 2.5891 +v 4.0703 2.2349 2.5991 +v 4.0026 2.2489 2.5883 +v 4.1287 2.1424 2.5608 +v 3.9844 2.1142 2.5078 +v 4.1083 2.1161 2.5445 +v 4.0695 2.1047 2.5011 +v 3.9566 2.1603 2.4939 +v 3.9655 2.2345 2.5230 +v 3.9537 2.1973 2.5059 +v 4.1438 2.1861 2.5608 +v 4.0867 2.2512 2.5690 +v 4.0138 2.2703 2.5493 +v 4.1438 2.1519 2.5354 +v 3.9902 2.1223 2.4884 +v 4.1202 2.1246 2.5220 +v 4.0783 2.1103 2.4829 +v 3.9670 2.1690 2.4666 +v 3.9761 2.2531 2.4862 +v 3.9621 2.2107 2.4738 +v 4.1625 2.1933 2.5367 +v 4.1051 2.2678 2.5408 +v 4.0243 2.2944 2.5092 +v 4.1602 2.1576 2.5138 +v 4.0012 2.1287 2.4658 +v 4.1304 2.1296 2.5008 +v 4.0914 2.1171 2.4609 +v 3.9810 2.1748 2.4321 +v 3.9851 2.2773 2.4418 +v 3.9703 2.2237 2.4307 +v 4.1878 2.2082 2.5172 +v 4.1282 2.2864 2.5110 +v 4.0441 2.3232 2.4730 +v 4.1820 2.1603 2.4938 +v 4.0071 2.1352 2.4468 +v 4.1488 2.1350 2.4778 +v 4.1328 2.1263 2.4300 +v 4.0061 2.1723 2.3755 +v 3.9937 2.3114 2.3856 +v 3.9883 2.2369 2.3701 +v 4.2364 2.2258 2.4995 +v 4.1479 2.3138 2.4776 +v 4.0438 2.3512 2.4204 +v 4.2250 2.1673 2.4895 +v 4.0650 2.1300 2.3963 +v 4.1842 2.1377 2.4586 +v 4.0745 2.2299 2.1001 +v 4.1009 2.1657 2.1351 +v 4.1824 2.1068 2.2038 +v 4.3014 2.0584 2.2947 +v 4.2284 2.1007 2.1434 +v 4.3527 2.0482 2.2380 +v 4.2761 2.0904 2.0908 +v 4.4001 2.0363 2.1888 +v 4.1528 2.2622 1.9089 +v 4.3247 2.0745 2.0405 +v 4.4295 1.9999 2.1368 +v 4.1890 2.2201 1.8515 +v 4.3561 2.0106 1.9873 +v 4.4508 1.9443 2.0761 +v 4.2336 2.1661 1.7941 +v 4.4116 1.9315 1.9358 +v 4.4814 1.8720 2.0080 +v 4.3001 2.0875 1.7491 +v 4.6170 1.7186 2.0814 +v 4.6477 2.1302 1.9978 +v 4.6137 2.2107 2.0723 +v 4.6035 1.9256 1.8622 +v 4.6609 2.0278 1.9174 +v 4.5084 2.3132 2.1991 +v 4.5598 2.2833 2.1543 +v 4.6368 2.1760 2.0335 +v 4.2414 2.1248 1.8357 +v 4.5014 1.8534 1.8896 +v 4.5900 2.2479 2.1113 +v 4.3628 2.4013 2.2809 +v 4.6589 2.0815 1.9684 +v 4.0626 2.3910 2.3565 +v 4.4502 2.3562 2.2437 +v 4.5524 1.8762 1.8659 +v 4.5991 1.7478 2.0253 +v 4.2035 2.4787 2.1869 +v 4.1162 2.2806 1.9724 +v 4.2941 2.1700 1.6886 +v 4.2196 2.2172 1.7357 +v 4.4082 2.1330 1.6729 +v 4.1743 2.2604 1.7941 +v 4.1376 2.3455 1.9089 +v 4.1481 2.3081 1.8525 +v 4.1420 2.4509 2.0616 +v 0.4759 5.5657 0.5827 +v 0.3610 5.6931 0.5912 +v 0.3011 5.8325 0.6140 +v 0.2502 5.9843 0.6142 +v 0.2289 6.1198 0.6447 +v 0.2498 6.2246 0.7236 +v 0.3036 6.3007 0.8416 +v 0.3488 6.3212 0.9364 +v 0.3770 6.3338 1.0023 +v 0.4025 6.3443 1.0562 +v 0.4109 6.3639 1.1033 +v 0.4049 6.3886 1.1450 +v 0.3194 6.5220 1.3701 +v 0.2894 6.5526 1.3961 +v 0.2795 6.5647 1.4033 +v 0.2562 6.5891 1.4165 +v 0.2496 6.5956 1.4174 +v 0.2454 6.6000 1.4194 +v 0.2415 6.6034 1.4210 +v 0.2388 6.6060 1.4176 +v 0.2367 6.6081 1.4095 +v 0.2377 6.6099 1.3942 +v 0.2445 6.6105 1.3726 +v 0.2427 6.6035 1.3585 +v 0.2448 6.5925 1.3487 +v 0.2472 6.5860 1.3389 +v 0.2552 6.5757 1.3164 +v 0.2784 6.5716 1.2669 +v 0.2994 6.5740 1.1638 +v 0.3297 6.5818 1.0091 +v 0.3158 6.5835 0.8143 +v 0.2617 6.5846 0.5995 +v 0.1892 6.5904 0.5667 +v 0.1975 6.6590 0.5647 +v 0.2890 6.7401 0.6410 +v 0.3234 6.8108 0.8164 +v 0.3235 6.8444 1.0174 +v 0.2810 6.8139 1.1934 +v 0.2594 6.7710 1.2986 +v 0.2366 6.7272 1.3501 +v 0.2286 6.6922 1.3681 +v 0.2274 6.6633 1.3750 +v 0.2282 6.6356 1.3793 +v 0.2304 6.6217 1.3957 +v 0.2315 6.6155 1.4109 +v 0.2351 6.6120 1.4214 +v 0.2399 6.6112 1.4263 +v 0.2443 6.6116 1.4273 +v 0.2490 6.6119 1.4262 +v 0.2575 6.6136 1.4252 +v 0.2652 6.6148 1.4220 +v 0.2863 6.6273 1.4142 +v 0.2997 6.6336 1.4075 +v 0.6472 7.2820 1.0577 +v 0.6302 7.3541 1.0902 +v 0.6054 7.4240 1.1442 +v 0.5714 7.4875 1.2133 +v 0.5148 7.5462 1.2847 +v 0.4384 7.5899 1.3549 +v 0.3462 7.6214 1.4155 +v 0.2505 7.6438 1.4644 +v 0.1546 7.6553 1.5029 +v 0.0610 7.6578 1.5214 +v 0.6501 5.4769 0.6253 +v 0.9280 5.4778 0.7510 +v 1.1852 5.4520 0.8110 +v 1.4188 5.4026 0.8138 +v 1.6021 5.2992 0.7867 +v 1.7392 5.1679 0.7287 +v 1.8258 5.0542 0.6722 +v 1.8772 4.9573 0.6210 +v 1.9200 4.8828 0.5824 +v 1.9623 4.8169 0.5602 +v 2.0324 4.7210 0.5595 +v 2.1481 4.5786 0.5538 +v 2.2944 4.3989 0.5531 +v 2.4296 4.2052 0.5544 +v 2.5785 4.0159 0.5719 +v 2.6782 3.8848 0.5615 +v 2.7726 3.7748 0.5500 +v 3.9116 2.7338 1.6075 +v 4.0131 2.6564 1.7236 +v 4.0955 2.5936 1.8044 +v 4.1675 2.5211 1.9245 +v 4.1171 2.3842 1.9908 +v 3.7805 2.8382 1.4498 +v 1.1604 4.8510 -0.5279 +v 0.9682 4.8252 -0.5861 +v 0.7655 4.8190 -0.5977 +v 0.5545 4.8009 -0.4955 +v 0.3760 4.7876 -0.5217 +v 0.1894 4.7746 -0.5068 +v 1.4576 4.8268 -0.4179 +v 1.6522 4.7132 -0.3381 +v 1.7339 4.6515 -0.3079 +v 1.8228 4.5780 -0.2772 +v 1.9354 4.4453 -0.2762 +v 1.5609 4.7807 -0.3741 +v 1.3267 4.8476 -0.4706 +v 2.0814 4.2726 -0.2522 +v 2.2309 4.0891 -0.2343 +v 2.3884 3.9389 -0.2205 +v 2.5233 3.8056 -0.1998 +v 2.6534 3.6967 -0.1900 +v 2.7783 3.5911 -0.1843 +v 2.8846 3.5046 -0.1533 +v 2.9813 3.4178 -0.1214 +v 3.0847 3.3269 -0.0514 +v 3.1899 3.2279 0.0628 +v 3.3121 3.0964 0.2134 +v 3.4452 2.9438 0.4263 +v 3.6041 2.7964 0.6660 +v 3.7887 2.6452 0.9147 +v 3.9678 2.5336 1.1295 +v 4.1025 2.4453 1.2932 +v 4.1994 2.3730 1.4194 +v 4.2716 2.3179 1.5104 +v 4.3425 2.2309 1.6045 +v 4.5356 2.1820 1.7478 +v 4.4576 1.8818 2.4691 +v 4.5909 1.7615 2.2642 +v 4.5576 1.7834 2.3082 +v 4.4029 1.9643 2.5887 +v 4.4930 1.8471 2.4148 +v 4.5236 1.8260 2.3666 +v 4.6487 1.7058 2.1592 +v 4.6796 1.6861 2.1164 +v 4.3929 2.0691 2.6573 +v 4.4290 1.9251 2.5337 +v 4.6240 1.7357 2.2186 +v 4.2752 2.1510 2.5171 +v 4.3422 2.2025 2.5378 +v 4.3160 2.1256 2.5642 +v 4.2839 2.0919 2.4750 +v 4.3293 2.3416 2.4002 +v 4.4162 2.2268 2.5273 +v 4.2402 2.4415 2.2917 +v 4.1166 2.4454 2.1647 +v 4.3167 2.0351 1.7968 +v 4.3451 1.9898 1.8626 +v 4.2771 2.0674 1.8974 +v 4.1956 2.1882 1.8912 +v 4.2326 2.1350 1.9463 +v 4.1595 2.2160 1.9459 +v 4.1906 2.1597 1.9994 +v 4.1147 2.2253 2.0087 +v 4.1430 2.1691 2.0610 +v 4.3492 2.0887 2.6078 +v 1.1313 4.6825 -0.5223 +v 0.9248 4.6727 -0.5540 +v 0.7247 4.6808 -0.5247 +v 0.5397 4.6750 -0.4943 +v 0.3685 4.6679 -0.5080 +v 0.1936 4.6654 -0.4941 +v 1.4279 4.6732 -0.3794 +v 1.6067 4.6290 -0.2950 +v 1.6862 4.5839 -0.2698 +v 1.7770 4.5144 -0.2492 +v 1.8804 4.4118 -0.2272 +v 1.5250 4.6616 -0.3302 +v 2.0258 4.2562 -0.1957 +v 2.1768 4.0648 -0.1827 +v 2.3353 3.9127 -0.1707 +v 2.4623 3.7745 -0.1589 +v 4.5996 2.0533 1.7952 +v 2.5877 3.6630 -0.1478 +v 2.7094 3.5659 -0.1528 +v 2.8128 3.4863 -0.1368 +v 2.9062 3.4047 -0.1048 +v 3.0171 3.3069 -0.0286 +v 3.1181 3.2136 0.0880 +v 3.2260 3.0850 0.2449 +v 3.3638 2.9341 0.4522 +v 3.5259 2.7845 0.6880 +v 3.7187 2.6311 0.9441 +v 3.8896 2.5170 1.1515 +v 4.0227 2.4232 1.3127 +v 4.1143 2.3463 1.4372 +v 4.1801 2.2934 1.5256 +v 4.2469 2.2270 1.6148 +v 4.6467 1.9877 1.8794 +v 1.2956 4.6823 -0.4514 +v 4.5097 2.1476 1.6974 +v 4.6865 1.9259 1.9475 +v 3.4429 3.1427 1.0603 +v 3.6285 2.9833 1.2677 +v 3.2553 3.3065 0.8775 +v 3.1140 3.4451 0.7177 +v 3.0509 3.4976 0.6173 +v 3.0088 3.5335 0.5630 +v 2.9625 3.5748 0.5414 +v 2.9108 3.6246 0.5387 +v 2.8512 3.6882 0.5438 +v 4.3700 2.5361 1.7567 +v 4.3379 2.5634 1.7934 +v 4.4265 2.3915 1.6152 +v 4.4276 2.4280 1.6439 +v 4.0809 2.4704 1.8063 +v 4.0992 2.5109 1.8382 +v 4.4122 2.3521 1.5861 +v 4.3907 2.3178 1.5641 +v 4.0721 2.4277 1.7736 +v 4.1448 2.2756 1.6148 +v 4.2972 2.5828 1.8282 +v 4.2458 2.5902 1.8582 +v 4.0996 2.3218 1.6691 +v 4.3972 2.5028 1.7160 +v 4.1886 2.5785 1.8773 +v 4.0762 2.3783 1.7274 +v 4.4173 2.4650 1.6768 +v 4.1390 2.5512 1.8653 +v 4.3149 2.2761 1.5624 +v 4.2162 2.2499 1.5769 +v 4.3732 2.1783 1.6369 +v 4.4685 2.2064 1.6549 +v 4.4911 2.2420 1.6951 +v 4.5047 2.2894 1.7362 +v 4.5041 2.3310 1.7700 +v 4.4933 2.3726 1.8040 +v 4.4754 2.4125 1.8404 +v 4.4520 2.4488 1.8770 +v 4.4208 2.4804 1.9147 +v 4.3771 2.5079 1.9545 +v 4.3197 2.5269 1.9894 +v 4.2527 2.5284 2.0081 +v 4.2730 2.2053 1.6486 +v 4.1952 2.2406 1.6937 +v 4.1514 2.2853 1.7521 +v 4.1265 2.3357 1.8095 +v 4.1217 2.3803 1.8566 +v 4.1328 2.4115 1.9146 +v 4.1539 2.4581 1.9661 +v 4.1885 2.5024 1.9980 +v 1.2784 4.0300 0.7541 +v 1.3787 3.9397 0.3079 +v 1.3373 3.9452 0.5505 +v 0.9628 4.0638 -0.3500 +v 0.7934 4.0786 -0.3792 +v 0.6388 4.0827 -0.3960 +v 0.4953 4.0815 -0.4151 +v 0.3542 4.0800 -0.4304 +v 0.1991 4.0747 -0.4069 +v 1.2520 4.0288 -0.1590 +v 1.3353 3.9962 -0.0437 +v 1.3770 3.9648 0.1009 +v 1.1213 4.0460 -0.2584 +v 1.2682 3.8632 0.7823 +v 1.3306 3.7365 0.3550 +v 1.3097 3.7615 0.5797 +v 0.9053 3.8786 -0.2665 +v 0.7551 3.8951 -0.3212 +v 0.6092 3.8964 -0.3492 +v 0.4793 3.8937 -0.3885 +v 0.3409 3.8946 -0.3989 +v 0.1753 3.8960 -0.3613 +v 1.1893 3.8336 -0.0981 +v 1.2633 3.7963 0.0137 +v 1.3089 3.7649 0.1615 +v 1.0660 3.8523 -0.1927 +v 1.2425 3.6467 0.8156 +v 1.2759 3.5224 0.4098 +v 1.2788 3.5435 0.6186 +v 0.8546 3.6544 -0.2105 +v 0.7153 3.6758 -0.2639 +v 0.5825 3.6800 -0.3093 +v 0.4596 3.6818 -0.3488 +v 0.3212 3.6958 -0.3502 +v 0.1696 3.6925 -0.3226 +v 1.1234 3.5984 -0.0449 +v 1.2039 3.5714 0.0630 +v 1.2476 3.5466 0.2195 +v 1.0021 3.6218 -0.1357 +v 1.2130 3.3966 0.8538 +v 1.2335 3.2999 0.4779 +v 1.2471 3.3250 0.6652 +v 0.7959 3.4004 -0.1692 +v 0.6681 3.4220 -0.2177 +v 0.5480 3.4335 -0.2569 +v 0.4325 3.4419 -0.2873 +v 0.2946 3.4452 -0.2776 +v 0.1560 3.4588 -0.2771 +v 1.0540 3.3506 0.0158 +v 1.1241 3.3293 0.1702 +v 1.1844 3.3050 0.3019 +v 0.9322 3.3716 -0.0888 +v 1.2012 3.1530 0.9005 +v 1.1707 3.0669 0.5293 +v 1.2246 3.0931 0.7184 +v 0.7501 3.1656 -0.1332 +v 0.6305 3.1779 -0.1742 +v 0.5197 3.1878 -0.2051 +v 0.4081 3.1990 -0.2222 +v 0.2899 3.2002 -0.2345 +v 0.1625 3.1917 -0.2197 +v 0.9870 3.1119 0.1014 +v 1.0696 3.0912 0.2290 +v 1.1344 3.0728 0.3663 +v 0.8784 3.1409 -0.0507 +v 1.1923 2.9054 0.9153 +v 1.1705 2.8545 0.5471 +v 1.2034 2.8691 0.7355 +v 0.7361 2.9401 -0.0837 +v 0.6208 2.9595 -0.1425 +v 0.5115 2.9716 -0.1830 +v 0.3964 2.9724 -0.1938 +v 0.2792 2.9692 -0.1921 +v 0.1579 2.9566 -0.1885 +v 0.9521 2.8887 0.1412 +v 1.0473 2.8672 0.2582 +v 1.1107 2.8495 0.3949 +v 0.8469 2.9115 0.0218 +v 1.2070 2.6703 0.8972 +v 1.1871 2.6542 0.5241 +v 1.2077 2.6576 0.7160 +v 0.7295 2.7286 -0.0538 +v 0.6142 2.7518 -0.1204 +v 0.5021 2.7654 -0.1581 +v 0.3934 2.7681 -0.1799 +v 0.2813 2.7563 -0.1852 +v 0.1637 2.7513 -0.1906 +v 0.9312 2.6818 0.1700 +v 1.0352 2.6632 0.2710 +v 1.1199 2.6485 0.3832 +v 0.8375 2.7066 0.0541 +v 1.2164 2.4990 0.8543 +v 1.1985 2.4865 0.4894 +v 1.2311 2.4983 0.6764 +v 0.7297 2.5459 -0.0242 +v 0.6186 2.5711 -0.1153 +v 0.5075 2.5847 -0.1646 +v 0.3999 2.5859 -0.1882 +v 0.2938 2.5733 -0.1984 +v 0.1725 2.5590 -0.1975 +v 0.9632 2.5138 0.1485 +v 1.0645 2.4997 0.2423 +v 1.1518 2.4878 0.3450 +v 0.8409 2.5307 0.0632 +v 1.2634 2.2358 0.7989 +v 1.2742 2.2581 0.4356 +v 1.2946 2.2481 0.6192 +v 0.4752 2.1810 1.4061 +v 0.7520 2.4090 -0.0410 +v 0.6324 2.4310 -0.1141 +v 0.5177 2.4401 -0.1675 +v 0.4104 2.4362 -0.2025 +v 0.2923 2.4216 -0.2330 +v 0.1686 2.4023 -0.2427 +v 0.1187 2.2087 1.4572 +v 1.1328 2.2645 0.1682 +v 1.2165 2.2629 0.2871 +v 0.9120 2.2740 -0.0095 +v 1.3040 2.1084 0.7860 +v 1.3152 2.1339 0.4034 +v 1.3425 2.1214 0.5969 +v 0.2823 2.1965 1.4434 +v 0.8060 2.1583 -0.1299 +v 0.6706 2.1703 -0.1857 +v 0.5426 2.1788 -0.2268 +v 0.4205 2.1820 -0.2576 +v 0.2999 2.1842 -0.2946 +v 0.1624 2.1855 -0.3041 +v 1.1663 2.1382 0.1314 +v 1.2685 2.1380 0.2509 +v 0.9414 2.1459 -0.0627 +v 1.2272 4.1127 0.9289 +v 1.1887 3.9273 0.9459 +v 1.1732 3.7221 0.9663 +v 1.1199 3.2033 1.0620 +v 1.1513 3.4834 1.0222 +v 0.6947 3.2829 1.5009 +v 0.8987 3.2334 1.3631 +v 1.0967 2.2150 1.1297 +v 0.1318 2.6828 1.5375 +v 0.1334 3.1978 1.6204 +v 0.2948 2.6509 1.5241 +v 0.6801 3.0305 1.4715 +v 0.8740 2.9741 1.3451 +v 1.0571 2.4872 1.1603 +v 0.4798 2.6127 1.4779 +v 0.1487 3.4484 1.6002 +v 0.4783 2.8423 1.5300 +v 0.6897 2.7346 1.4577 +v 0.8740 2.6787 1.3209 +v 1.0284 2.6745 1.1899 +v 0.2988 2.9021 1.5719 +v 0.1350 2.9377 1.5876 +v 0.6826 2.5399 1.4003 +v 0.8898 2.4881 1.2900 +v 1.0194 2.9497 1.2128 +v 0.4642 3.3587 1.5828 +v 0.2938 3.1627 1.6140 +v 0.6937 2.1894 1.3394 +v 0.9179 2.1994 1.2490 +v 1.0225 3.2371 1.2133 +v 0.4747 3.1072 1.5789 +v 0.3013 3.4130 1.6008 +v 1.1191 2.9320 1.0740 +v 1.1572 2.6736 1.0594 +v 1.1964 2.5042 1.0256 +v 1.2250 2.2307 0.9798 +v 1.0366 2.2656 0.0730 +v 0.0995 2.0246 1.4248 +v 0.1418 1.8534 1.4160 +v 0.1186 1.6568 1.4526 +v 0.0587 1.9700 1.3937 +v 0.0895 1.8458 1.3982 +v 0.0758 1.7235 1.4059 +v 0.0347 1.9166 1.4136 +v 0.0534 1.8405 1.4046 +v 0.0453 1.7670 1.3971 +v 0.4942 2.0191 1.3835 +v 0.2899 2.0388 1.4275 +v 1.1168 2.0712 1.1177 +v 0.7026 2.0255 1.3130 +v 0.9211 2.0450 1.2277 +v 1.2556 2.0940 0.9729 +v 1.3627 1.9646 0.7744 +v 1.3877 1.9965 0.3727 +v 1.4111 1.9814 0.5765 +v 1.2449 2.0044 0.0277 +v 1.3417 1.9999 0.1906 +v 0.5093 1.8367 1.3673 +v 0.3107 1.8352 1.4078 +v 1.1430 1.9121 1.1071 +v 0.7211 1.8565 1.2972 +v 0.9388 1.8791 1.2125 +v 1.2975 1.9426 0.9658 +v 1.1765 2.3750 0.3114 +v 1.0943 2.3774 0.2070 +v 1.2367 2.3601 0.8232 +v 1.2564 2.3655 0.6463 +v 1.2364 2.3718 0.4656 +v 0.8845 2.3956 0.0278 +v 0.4186 2.3099 -0.2269 +v 0.3010 2.3027 -0.2568 +v 0.1669 2.2953 -0.2744 +v 0.7797 2.2870 -0.0779 +v 0.6529 2.3001 -0.1354 +v 0.1324 2.4079 1.4841 +v 0.5329 2.3123 -0.1977 +v 1.2126 2.3622 0.9990 +v 0.4827 2.3786 1.4319 +v 0.2835 2.3960 1.4722 +v 0.6826 2.3604 1.3696 +v 0.9027 2.3432 1.2742 +v 1.0830 2.3516 1.1458 +v 1.0023 2.3834 0.1096 +v 1.1918 1.7262 1.0932 +v 0.3284 1.6051 1.4211 +v 0.5287 1.6143 1.3630 +v 1.4155 1.8319 0.1249 +v 1.3281 1.8364 -0.0701 +v 1.4856 1.8124 0.5575 +v 1.4734 1.8342 0.3384 +v 1.4235 1.7884 0.7578 +v 1.3516 1.7628 0.9504 +v 0.9717 1.6829 1.1978 +v 0.7429 1.6502 1.2866 +v 1.0659 2.1343 0.0386 +v 1.1241 1.9973 -0.0657 +v 1.1872 1.8273 -0.1905 +v 0.8316 2.0128 -0.2018 +v 0.6860 2.0252 -0.2613 +v 0.5441 2.0288 -0.2784 +v 0.4186 2.0339 -0.3069 +v 0.2890 2.0294 -0.3375 +v 0.1533 2.0415 -0.3383 +v 0.8600 1.8334 -0.3313 +v 0.6957 1.8387 -0.3699 +v 0.5400 1.8383 -0.3759 +v 0.4054 1.8385 -0.3893 +v 0.2767 1.8424 -0.4044 +v 0.1393 1.8444 -0.3948 +v 0.8821 1.6064 -0.4913 +v 0.6932 1.6040 -0.5084 +v 0.5218 1.6002 -0.5063 +v 0.3788 1.5994 -0.5078 +v 0.2525 1.5942 -0.5098 +v 0.1291 1.5782 -0.5124 +v 0.9834 2.0045 -0.1454 +v 1.0273 1.8248 -0.2701 +v 1.2669 1.3839 -0.4407 +v 0.9001 1.1406 -0.7990 +v 0.6764 1.1479 -0.8160 +v 0.4810 1.1454 -0.7946 +v 0.3233 1.1381 -0.7463 +v 0.2001 1.1323 -0.7157 +v 0.1040 1.1322 -0.6971 +v 1.0804 1.3762 -0.5480 +v 1.2813 1.1349 -0.5480 +v 1.0925 1.1359 -0.6973 +v 0.8925 0.8694 -0.9161 +v 0.6706 0.8768 -0.9300 +v 0.4367 0.8845 -0.8981 +v 0.2763 0.8812 -0.8381 +v 0.1559 0.8711 -0.7844 +v 0.0767 0.8687 -0.7634 +v 1.2926 0.8590 -0.6511 +v 0.8862 0.5929 -0.9951 +v 0.6624 0.6004 -1.0154 +v 0.4089 0.5921 -0.9622 +v 0.2527 0.5854 -0.9169 +v 0.1325 0.5775 -0.8423 +v 0.0681 0.5706 -0.7792 +v 1.1066 0.8652 -0.8260 +v 1.3059 0.5809 -0.6985 +v 0.8619 0.3482 -0.9672 +v 0.6155 0.3575 -0.9993 +v 0.3917 0.3569 -0.9664 +v 0.2385 0.3490 -0.9222 +v 0.1231 0.3422 -0.8368 +v 0.0645 0.3433 -0.7543 +v 1.1056 0.5853 -0.8812 +v 1.3159 0.3334 -0.7077 +v 0.8455 0.1168 -0.9346 +v 0.5964 0.1224 -0.9501 +v 0.3802 0.1179 -0.9217 +v 0.2268 0.1024 -0.8682 +v 0.1249 0.0892 -0.7559 +v 0.0643 0.0833 -0.6754 +v 1.0984 0.3369 -0.8800 +v 1.3258 0.1104 -0.6837 +v 0.8219 -0.1102 -0.8724 +v 0.5683 -0.1254 -0.8489 +v 0.3774 -0.1100 -0.8112 +v 0.2210 -0.1359 -0.7200 +v 0.1204 -0.1424 -0.6028 +v 0.0626 -0.1508 -0.4974 +v 1.0920 0.1091 -0.8408 +v 1.3482 -0.0889 -0.6353 +v 0.8200 -0.3660 -0.7394 +v 0.5509 -0.4585 -0.6099 +v 0.3528 -0.3910 -0.5733 +v 0.2198 -0.3683 -0.5399 +v 0.1344 -0.3364 -0.3683 +v 0.0653 -0.3317 -0.2637 +v 1.0926 -0.1011 -0.7841 +v 1.3953 -0.2663 -0.5656 +v 0.9006 -0.5766 -0.6489 +v 0.6779 -0.6726 -0.5482 +v 0.2195 -0.5008 -0.2943 +v 0.1561 -0.4392 -0.1798 +v 0.0816 -0.4101 -0.1004 +v 1.1250 -0.3062 -0.6944 +v 1.5402 1.3887 0.0175 +v 1.4114 1.3845 -0.2284 +v 1.6410 1.3747 0.5016 +v 1.6339 1.3929 0.2657 +v 1.5944 1.3533 0.7191 +v 1.4734 1.3180 0.9035 +v 1.5575 1.1440 -0.0399 +v 1.4213 1.1315 -0.2935 +v 1.6735 1.1271 0.4631 +v 1.6631 1.1382 0.2210 +v 1.6362 1.1065 0.6927 +v 1.5065 1.0731 0.8889 +v 1.5812 0.8654 -0.0980 +v 1.4374 0.8644 -0.3654 +v 1.6964 0.8624 0.4228 +v 1.6906 0.8674 0.1729 +v 1.6520 0.8402 0.6748 +v 1.5361 0.8108 0.8918 +v 1.6123 0.5911 -0.1390 +v 1.4715 0.5901 -0.4229 +v 1.7157 0.5738 0.4080 +v 1.7043 0.5841 0.1423 +v 1.6723 0.5569 0.6698 +v 1.5571 0.5278 0.8960 +v 1.6404 0.3394 -0.1511 +v 1.4975 0.3437 -0.4374 +v 1.7416 0.3086 0.4186 +v 1.7275 0.3220 0.1414 +v 1.7073 0.2976 0.6896 +v 1.5844 0.2580 0.9210 +v 1.6648 0.1157 -0.1308 +v 1.5246 0.1231 -0.4222 +v 1.7701 0.0985 0.4498 +v 1.7472 0.1015 0.1649 +v 1.7382 0.0932 0.7255 +v 1.6091 0.0561 0.9472 +v 1.7072 -0.0742 -0.0895 +v 1.5669 -0.0694 -0.3811 +v 1.8099 -0.0752 0.4855 +v 1.7814 -0.0799 0.2016 +v 1.7663 -0.0791 0.7605 +v 1.6419 -0.1057 0.9693 +v 1.7470 -0.2348 -0.0500 +v 1.6119 -0.2353 -0.3316 +v 1.8493 -0.2401 0.5124 +v 1.8194 -0.2401 0.2342 +v 0.8925 -0.5481 1.1114 +v 0.8356 -0.3781 1.1183 +v 1.2516 1.2675 1.0462 +v 0.3717 1.0085 1.3914 +v 0.5699 1.0685 1.3334 +v 1.0049 1.2057 1.1548 +v 0.7771 1.1374 1.2427 +v 1.2999 1.0323 1.0472 +v 0.3741 0.6989 1.3542 +v 0.5754 0.7781 1.2899 +v 1.0290 0.9488 1.1389 +v 0.7863 0.8668 1.2242 +v 1.3417 0.7601 1.0590 +v 0.3535 0.3952 1.2916 +v 0.5616 0.4876 1.2432 +v 1.0548 0.6819 1.1409 +v 0.7855 0.5862 1.1839 +v 1.3543 0.4828 1.0602 +v 0.3096 0.1230 1.1942 +v 0.5277 0.2189 1.1613 +v 1.0796 0.4151 1.1511 +v 0.7933 0.3283 1.1746 +v 1.3762 0.2172 1.0772 +v 0.2640 -0.0687 1.1108 +v 0.4908 0.0179 1.0887 +v 1.0938 0.1642 1.1598 +v 0.7861 0.1033 1.1570 +v 1.4040 0.0241 1.0886 +v 0.2325 -0.1915 1.0285 +v 0.4062 -0.1454 1.0405 +v 1.0979 -0.0216 1.1554 +v 0.7651 -0.0735 1.1379 +v 1.4432 -0.1326 1.0972 +v 0.4900 -0.2993 1.0068 +v 1.1191 -0.1774 1.1485 +v 0.7853 -0.2309 1.1233 +v 0.1761 0.9640 1.4202 +v 0.1815 0.6349 1.3719 +v 0.1671 0.3277 1.2976 +v 0.1503 0.0796 1.2115 +v 0.1351 -0.1107 1.1139 +v 0.1178 -0.2285 1.0266 +v 0.9854 1.4552 1.1794 +v 0.7637 1.3954 1.2692 +v 0.3541 1.3051 1.4169 +v 0.1480 1.2769 1.4498 +v 1.2167 1.5043 1.0686 +v 0.5531 1.3437 1.3514 +v 0.0899 -0.3511 0.8421 +v 0.0837 -0.4044 0.6178 +v 0.0820 -0.4225 0.2465 +v 0.0697 -0.4474 0.0615 +v 0.1843 -0.3131 0.8262 +v 0.1495 -0.3791 0.6020 +v 0.1605 -0.4327 0.2350 +v 0.1409 -0.4460 0.0331 +v 0.2522 -0.3187 0.8126 +v 0.2236 -0.4265 0.5816 +v 0.2086 -0.5197 0.2131 +v 0.2136 -0.5381 -0.0316 +v 0.1153 1.3658 -0.6039 +v 0.8902 1.3837 -0.6505 +v 0.6890 1.3850 -0.6738 +v 0.5024 1.3777 -0.6429 +v 1.0640 1.5990 -0.4112 +v 0.3507 1.3755 -0.6313 +v 0.2292 1.3694 -0.6190 +v 1.2393 1.6095 -0.3265 +v 1.5675 1.6243 0.3053 +v 1.4973 1.6220 0.0712 +v 1.3807 1.5465 0.9185 +v 1.5096 1.5831 0.7386 +v 1.5775 1.6051 0.5341 +v 1.3755 1.6138 -0.1595 +v 1.4290 -0.4355 -0.5079 +v 1.1706 -0.5004 -0.6079 +v 1.7713 -0.3681 -0.0264 +v 1.6376 -0.3823 -0.3034 +v 1.8846 -0.3735 0.5310 +v 1.8515 -0.3690 0.2570 +v 1.1582 -0.3313 1.1424 +v 0.5573 -0.4303 1.0159 +v 1.4801 -0.2895 1.1028 +v 1.6727 -0.2646 0.9843 +v 0.3241 -0.4468 0.8075 +v 0.2644 -0.5552 0.5703 +v 0.2585 -0.6475 0.1661 +v 0.2951 -0.6398 -0.0722 +v 1.2046 -0.4955 1.1383 +v 0.6214 -0.6179 1.0158 +v 1.5219 -0.4425 1.1067 +v 1.7067 -0.4123 0.9959 +v 0.3843 -0.5791 0.8070 +v 0.3149 -0.6929 0.5651 +v 0.3099 -0.7885 0.1390 +v 0.3719 -0.7644 -0.0962 +v 0.4476 -0.7406 0.8044 +v 0.3767 -0.8453 0.5612 +v 0.3623 -0.9398 0.1184 +v 0.4363 -0.9008 -0.1081 +v 0.3094 -0.5729 -0.3318 +v 1.7985 -0.2349 0.7822 +v 1.8278 -0.3762 0.7935 +v 0.4295 -0.6818 -0.3540 +v 0.5303 -0.8151 -0.3602 +v 0.9815 -0.7350 -0.6167 +v 0.7677 -0.8429 -0.5086 +v 0.9509 -0.7497 1.1038 +v 1.4692 -0.5755 -0.4895 +v 1.2257 -0.6490 -0.5813 +v 1.7960 -0.4924 -0.0158 +v 1.6698 -0.5135 -0.2934 +v 1.9105 -0.4962 0.5416 +v 1.8749 -0.4925 0.2683 +v 1.2535 -0.6717 1.1337 +v 0.7019 -0.8376 1.0053 +v 1.5593 -0.5995 1.1082 +v 1.7455 -0.5535 1.0034 +v 0.5216 -0.9469 0.7990 +v 0.4414 -1.0259 0.5602 +v 0.4243 -1.0969 0.1020 +v 0.4990 -1.0502 -0.1165 +v 1.8626 -0.5086 0.8015 +v 0.5977 -0.9643 -0.3636 +v 1.0447 -0.9282 -0.5905 +v 0.8312 -1.0435 -0.4871 +v 1.0271 -0.9870 1.0924 +v 1.5190 -0.7431 -0.4784 +v 1.2792 -0.8237 -0.5721 +v 1.8319 -0.6690 -0.0093 +v 1.7137 -0.6874 -0.2830 +v 1.9388 -0.6739 0.5406 +v 1.9034 -0.6727 0.2703 +v 1.3096 -0.8833 1.1295 +v 0.7831 -1.0867 0.9837 +v 1.5955 -0.8025 1.1104 +v 1.7906 -0.7418 1.0043 +v 0.6083 -1.1924 0.7830 +v 0.5125 -1.2583 0.5517 +v 0.4913 -1.2768 0.0910 +v 0.5625 -1.2251 -0.1217 +v 1.9057 -0.6919 0.8010 +v 0.6503 -1.1419 -0.3529 +v 1.0805 -1.2227 -0.5676 +v 0.8871 -1.3490 -0.4676 +v 1.1018 -1.2846 1.0770 +v 1.5631 -1.0387 -0.4531 +v 1.3220 -1.1228 -0.5560 +v 1.8541 -0.9818 0.0022 +v 1.7439 -0.9950 -0.2598 +v 1.9638 -0.9856 0.5272 +v 1.9241 -0.9852 0.2680 +v 1.3632 -1.1919 1.1233 +v 0.8661 -1.3882 0.9592 +v 1.6335 -1.1094 1.1095 +v 1.8252 -1.0478 0.9875 +v 0.6805 -1.4830 0.7632 +v 0.5803 -1.5459 0.5356 +v 0.5516 -1.5754 0.0803 +v 0.6392 -1.5338 -0.1243 +v 1.9391 -1.0044 0.7807 +v 0.7201 -1.4670 -0.3269 +v 1.2213 -1.9908 -0.4501 +v 1.0409 -2.0913 -0.3810 +v 1.2206 -1.9966 1.0671 +v 1.6598 -1.8329 -0.3458 +v 1.4282 -1.8990 -0.4496 +v 1.9151 -1.7857 0.0559 +v 1.8216 -1.7866 -0.1849 +v 1.9714 -1.7816 0.4872 +v 1.9536 -1.7895 0.2751 +v 1.4661 -1.9048 1.1089 +v 0.9826 -2.0962 0.9566 +v 1.7080 -1.8419 1.0726 +v 1.8786 -1.7897 0.9277 +v 0.8508 -2.1727 0.7467 +v 0.7753 -2.2309 0.5275 +v 0.7332 -2.2739 0.1036 +v 0.7768 -2.2501 -0.0840 +v 1.9731 -1.7686 0.7212 +v 0.8882 -2.1847 -0.2482 +v 1.3185 -2.4244 -0.3593 +v 1.1605 -2.5061 -0.3040 +v 1.2915 -2.4007 1.0317 +v 1.7068 -2.2932 -0.2610 +v 1.4985 -2.3582 -0.3603 +v 1.9398 -2.2304 0.0831 +v 1.8495 -2.2498 -0.1155 +v 1.9615 -2.2238 0.4392 +v 1.9568 -2.2289 0.2703 +v 1.5343 -2.3181 1.0569 +v 1.0410 -2.4903 0.9417 +v 1.7483 -2.2626 1.0001 +v 1.8827 -2.2284 0.8386 +v 0.9134 -2.5661 0.7433 +v 0.8527 -2.6192 0.5308 +v 0.8182 -2.6617 0.1191 +v 0.8486 -2.6456 -0.0612 +v 1.9590 -2.2136 0.6355 +v 0.9768 -2.5815 -0.2263 +v 1.3911 -2.8490 -0.3234 +v 1.2314 -2.9151 -0.2830 +v 1.3685 -2.8083 0.9540 +v 1.7426 -2.7354 -0.2219 +v 1.5661 -2.7825 -0.3179 +v 1.9162 -2.6672 0.0934 +v 1.8646 -2.6957 -0.0843 +v 1.9593 -2.6662 0.4138 +v 1.9454 -2.6524 0.2562 +v 1.5871 -2.7508 0.9593 +v 1.1378 -2.8828 0.8992 +v 1.7637 -2.6917 0.8741 +v 1.9005 -2.6677 0.7374 +v 0.9907 -2.9495 0.7190 +v 0.9399 -2.9989 0.5300 +v 0.9125 -3.0386 0.1426 +v 0.9568 -3.0290 -0.0328 +v 1.9532 -2.6620 0.5741 +v 1.0849 -2.9772 -0.1750 +v 1.4171 -3.1159 -0.3234 +v 1.2704 -3.1903 -0.2811 +v 1.4153 -3.0616 0.8723 +v 1.7477 -3.0001 -0.2242 +v 1.5804 -3.0528 -0.2992 +v 1.9192 -2.9437 0.0873 +v 1.8644 -2.9703 -0.0780 +v 1.9474 -2.9289 0.3874 +v 1.9469 -2.9318 0.2426 +v 1.6230 -3.0050 0.8994 +v 1.2238 -3.1163 0.8377 +v 1.7837 -2.9733 0.7927 +v 1.8953 -2.9374 0.6714 +v 1.0755 -3.2059 0.6895 +v 1.0090 -3.2552 0.5211 +v 0.9738 -3.2873 0.1470 +v 1.0272 -3.2777 -0.0240 +v 1.9430 -2.9274 0.5321 +v 1.1363 -3.2436 -0.1663 +v 1.4277 -3.2932 -0.3245 +v 1.2863 -3.3608 -0.2805 +v 1.4641 -3.2566 0.8842 +v 1.7463 -3.1803 -0.2244 +v 1.5829 -3.2333 -0.2941 +v 1.9367 -3.1283 0.0691 +v 1.8739 -3.1467 -0.0960 +v 1.9567 -3.1297 0.3691 +v 1.9533 -3.1256 0.2243 +v 1.6301 -3.2122 0.8729 +v 1.2955 -3.3163 0.8353 +v 1.7708 -3.1769 0.7621 +v 1.8567 -3.1593 0.6374 +v 1.1392 -3.3843 0.6731 +v 1.0588 -3.4279 0.5024 +v 0.9987 -3.4515 0.1338 +v 1.0667 -3.4382 -0.0142 +v 1.9194 -3.1444 0.5059 +v 1.1658 -3.4081 -0.1584 +v 1.4420 -3.4362 -0.3309 +v 1.3024 -3.4966 -0.2736 +v 1.4743 -3.4383 0.8862 +v 1.7533 -3.3295 -0.2326 +v 1.6073 -3.3778 -0.3157 +v 1.9672 -3.2815 0.0510 +v 1.8837 -3.2929 -0.1143 +v 1.9839 -3.3030 0.3510 +v 1.9784 -3.2913 0.2062 +v 1.6482 -3.4016 0.8461 +v 1.3364 -3.4813 0.8460 +v 1.7780 -3.3704 0.7417 +v 1.8748 -3.3464 0.6244 +v 1.1767 -3.5492 0.6625 +v 1.0909 -3.5873 0.4870 +v 1.0290 -3.6003 0.1237 +v 1.0967 -3.5806 -0.0189 +v 1.9408 -3.3250 0.4903 +v 1.1848 -3.5468 -0.1605 +v 1.4583 -3.5711 -0.3466 +v 1.3231 -3.6270 -0.2779 +v 1.5094 -3.6058 0.8760 +v 1.7627 -3.4658 -0.2465 +v 1.6262 -3.5137 -0.3333 +v 1.9814 -3.4346 0.0303 +v 1.8931 -3.4303 -0.1356 +v 2.0075 -3.4694 0.3329 +v 1.9956 -3.4515 0.1855 +v 1.6830 -3.5770 0.8568 +v 1.3661 -3.6419 0.8365 +v 1.8134 -3.5494 0.7444 +v 1.9147 -3.5183 0.6167 +v 1.1944 -3.7141 0.6478 +v 1.1000 -3.7503 0.4715 +v 1.0652 -3.7499 0.1086 +v 1.1328 -3.7241 -0.0290 +v 1.9664 -3.4962 0.4774 +v 1.2104 -3.6839 -0.1691 +v 1.4894 -3.7197 -0.3640 +v 1.3563 -3.7762 -0.2939 +v 1.5452 -3.7712 0.8448 +v 1.7828 -3.6138 -0.2697 +v 1.6530 -3.6609 -0.3521 +v 2.0010 -3.5968 0.0095 +v 1.9137 -3.5840 -0.1572 +v 2.0272 -3.6370 0.3121 +v 2.0224 -3.6169 0.1673 +v 1.7156 -3.7412 0.8373 +v 1.4024 -3.8072 0.8049 +v 1.8352 -3.7157 0.7468 +v 1.9203 -3.6878 0.6010 +v 1.2401 -3.8817 0.6184 +v 1.1304 -3.9215 0.4457 +v 1.1217 -3.9127 0.0953 +v 1.1692 -3.8847 -0.0577 +v 1.9692 -3.6692 0.4566 +v 1.2394 -3.8395 -0.1967 +v 1.5236 -3.8954 -0.4062 +v 1.3846 -3.9567 -0.3438 +v 1.5706 -3.9490 0.8005 +v 1.8325 -3.7890 -0.3086 +v 1.6944 -3.8353 -0.3915 +v 2.0599 -3.7625 -0.0213 +v 1.9586 -3.7650 -0.1872 +v 2.0644 -3.7934 0.2915 +v 2.0602 -3.7813 0.1415 +v 1.7362 -3.9036 0.7845 +v 1.4525 -3.9871 0.7370 +v 1.8467 -3.8685 0.7065 +v 1.9264 -3.8463 0.5751 +v 1.3063 -4.0647 0.5681 +v 1.2080 -4.1045 0.4060 +v 1.1811 -4.0969 0.0579 +v 1.2125 -4.0695 -0.0987 +v 2.0030 -3.8215 0.4359 +v 1.2786 -4.0233 -0.2333 +v 1.5645 -4.0913 -0.4547 +v 1.4146 -4.1619 -0.3958 +v 1.6280 -4.1322 0.7137 +v 1.8921 -3.9756 -0.3706 +v 1.7295 -4.0308 -0.4420 +v 2.1022 -3.9364 -0.0574 +v 2.0238 -3.9450 -0.2368 +v 2.1063 -3.9484 0.2709 +v 2.1128 -3.9437 0.1132 +v 1.7545 -4.0752 0.7165 +v 1.5136 -4.1867 0.6526 +v 1.8682 -4.0269 0.6627 +v 1.9667 -3.9936 0.5467 +v 1.3877 -4.2675 0.5099 +v 1.3019 -4.3082 0.3618 +v 1.2384 -4.3043 0.0277 +v 1.2673 -4.2760 -0.1360 +v 2.0464 -3.9704 0.4153 +v 1.3172 -4.2351 -0.2746 +v 1.5976 -4.3041 -0.5149 +v 1.4459 -4.3868 -0.4580 +v 1.6708 -4.3489 0.6105 +v 1.9389 -4.1600 -0.4208 +v 1.7674 -4.2325 -0.4976 +v 2.1796 -4.1097 -0.0934 +v 2.0837 -4.1157 -0.2837 +v 2.1561 -4.1225 0.2503 +v 2.1886 -4.1121 0.0851 +v 1.7820 -4.2778 0.6335 +v 1.5667 -4.4157 0.5533 +v 1.8956 -4.2167 0.6057 +v 1.9976 -4.1852 0.5092 +v 1.4540 -4.4918 0.4441 +v 1.3638 -4.5342 0.3159 +v 1.2733 -4.5399 0.0002 +v 1.2815 -4.5122 -0.1776 +v 2.0883 -4.1549 0.4012 +v 1.3366 -4.4683 -0.3274 +v 1.6260 -4.5568 -0.5757 +v 1.4654 -4.6424 -0.5228 +v 1.7176 -4.5992 0.5275 +v 2.0137 -4.3905 -0.4771 +v 1.8212 -4.4721 -0.5685 +v 2.2793 -4.3247 -0.1292 +v 2.1751 -4.3334 -0.3230 +v 2.2339 -4.3392 0.2324 +v 2.2913 -4.3206 0.0622 +v 1.8167 -4.5259 0.5618 +v 1.6238 -4.6663 0.4770 +v 1.9286 -4.4563 0.5473 +v 2.0391 -4.4148 0.4855 +v 1.5200 -4.7320 0.3868 +v 1.4179 -4.7761 0.2798 +v 1.3098 -4.7818 -0.0320 +v 1.3088 -4.7483 -0.2231 +v 2.1360 -4.3841 0.3732 +v 1.3585 -4.7018 -0.3966 +v 1.6709 -4.8405 -0.6366 +v 1.5146 -4.9171 -0.5633 +v 1.7626 -4.8815 0.4727 +v 2.1060 -4.6827 -0.5272 +v 1.8999 -4.7559 -0.6321 +v 2.3819 -4.5965 -0.1694 +v 2.2855 -4.6230 -0.3685 +v 2.2997 -4.6109 0.2329 +v 2.3720 -4.5882 0.0480 +v 1.8554 -4.8146 0.5325 +v 1.6833 -4.9353 0.4263 +v 1.9623 -4.7491 0.5102 +v 2.0767 -4.6995 0.4666 +v 1.6012 -4.9854 0.3458 +v 1.5103 -5.0229 0.2429 +v 1.3629 -5.0450 -0.0476 +v 1.3518 -5.0145 -0.2480 +v 2.1804 -4.6656 0.3625 +v 1.4111 -4.9759 -0.4129 +v 1.7518 -5.1588 -0.6409 +v 1.5789 -5.2262 -0.5765 +v 1.8089 -5.1843 0.4362 +v 2.1856 -5.0122 -0.5567 +v 1.9742 -5.0818 -0.6402 +v 2.4348 -4.9328 -0.1741 +v 2.3528 -4.9610 -0.3860 +v 2.3270 -4.9654 0.2421 +v 2.4217 -4.9374 0.0622 +v 1.8929 -5.1337 0.4910 +v 1.7383 -5.2263 0.3856 +v 1.9991 -5.0753 0.4904 +v 2.1099 -5.0302 0.4530 +v 1.6702 -5.2632 0.3179 +v 1.6050 -5.2926 0.2172 +v 1.4566 -5.3254 -0.0501 +v 1.4301 -5.3073 -0.2399 +v 2.2152 -5.0002 0.3663 +v 1.4717 -5.2758 -0.4104 +v 1.8154 -5.4873 -0.5986 +v 1.6678 -5.5411 -0.5439 +v 1.8589 -5.5071 0.3884 +v 2.2008 -5.3617 -0.5377 +v 2.0052 -5.4275 -0.5840 +v 2.4414 -5.2935 -0.1296 +v 2.3763 -5.3115 -0.3770 +v 2.3476 -5.3376 0.2553 +v 2.4368 -5.3092 0.0823 +v 1.9326 -5.4756 0.4276 +v 1.7938 -5.5379 0.3508 +v 2.0304 -5.4319 0.4496 +v 2.1377 -5.3890 0.4388 +v 1.7433 -5.5663 0.2828 +v 1.6872 -5.5935 0.1956 +v 1.5914 -5.6141 -0.0500 +v 1.5572 -5.6068 -0.2137 +v 2.2416 -5.3646 0.3775 +v 1.5757 -5.5811 -0.3795 +v 1.8984 -5.8522 -0.5125 +v 1.7843 -5.8886 -0.4419 +v 1.9270 -5.8774 0.3535 +v 2.2269 -5.7846 -0.4496 +v 2.0591 -5.8166 -0.5089 +v 2.4230 -5.7607 -0.1131 +v 2.3593 -5.7620 -0.3106 +v 2.3560 -5.7836 0.2198 +v 2.4218 -5.7720 0.0773 +v 1.9924 -5.8611 0.3821 +v 1.8696 -5.8966 0.3203 +v 2.0762 -5.8391 0.3989 +v 2.1693 -5.8177 0.3859 +v 1.8179 -5.9165 0.2681 +v 1.7630 -5.9371 0.1966 +v 1.6845 -5.9550 -0.0308 +v 1.6831 -5.9454 -0.1735 +v 2.2610 -5.8018 0.3305 +v 1.7179 -5.9223 -0.3175 +v 2.2297 -8.1184 0.2186 +v 2.1640 -8.0925 0.2580 +v 2.0934 -8.0619 0.2962 +v 2.0250 -8.0150 0.3420 +v 2.0166 -8.0057 0.5314 +v 2.4532 -6.8682 0.0433 +v 2.4606 -6.8545 -0.0722 +v 2.5051 -7.1008 -0.0626 +v 2.4924 -7.1001 0.0561 +v 2.5382 -7.2569 0.0679 +v 2.0421 -6.4162 -0.4123 +v 1.9281 -6.4201 -0.3405 +v 2.0382 -6.3859 0.3374 +v 2.3010 -6.3945 -0.3518 +v 2.1795 -6.4054 -0.4178 +v 2.4377 -6.3718 -0.0927 +v 2.3880 -6.3789 -0.2389 +v 2.3254 -6.3672 0.2695 +v 2.3974 -6.3678 0.1647 +v 2.0970 -6.3789 0.3548 +v 1.9817 -6.3915 0.3106 +v 2.1666 -6.3726 0.3539 +v 1.9257 -6.3945 0.2680 +v 1.8697 -6.4002 0.2031 +v 1.7926 -6.4147 0.0067 +v 1.8008 -6.4175 -0.1152 +v 2.2466 -6.3661 0.3317 +v 1.8511 -6.4209 -0.2386 +v 2.1155 -6.9309 -0.3439 +v 1.9940 -6.8991 -0.2692 +v 2.1506 -6.8469 0.3553 +v 2.3495 -6.8815 -0.2900 +v 2.2583 -6.9095 -0.3622 +v 2.5904 -7.3748 -0.0626 +v 2.4198 -6.8590 -0.1825 +v 2.3889 -6.8544 0.2326 +v 2.4308 -6.8677 0.1316 +v 2.2095 -6.8436 0.3549 +v 2.0958 -6.8478 0.3336 +v 2.2700 -6.8376 0.3358 +v 2.0424 -6.8469 0.3120 +v 1.9905 -6.8484 0.2485 +v 1.9085 -6.8714 0.0580 +v 1.8947 -6.8827 -0.0561 +v 2.3295 -6.8338 0.3056 +v 1.9288 -6.8906 -0.1743 +v 2.1589 -7.0700 0.4045 +v 2.4123 -7.0849 0.2613 +v 2.4676 -7.0912 0.1512 +v 2.2214 -7.0704 0.3899 +v 2.1108 -7.0623 0.3791 +v 2.2852 -7.0628 0.3727 +v 2.0674 -7.0476 0.3513 +v 2.3444 -7.0639 0.3254 +v 0.3096 7.3374 1.4127 +v 0.3473 7.3383 1.4077 +v 0.3824 7.3332 1.4005 +v 0.4103 7.3242 1.3889 +v 0.4295 7.3143 1.3781 +v 0.4392 7.3050 1.3690 +v 0.4438 7.2978 1.3612 +v 0.4448 7.2899 1.3550 +v 0.4428 7.2826 1.3539 +v 0.4388 7.2753 1.3548 +v 0.4250 7.2618 1.3647 +v 0.4106 7.2512 1.3741 +v 0.3905 7.2421 1.3858 +v 0.3522 7.2350 1.4001 +v 0.3109 7.2338 1.4028 +v 0.2738 7.2367 1.3983 +v 0.2382 7.2423 1.3920 +v 0.2012 7.2507 1.3821 +v 0.2701 7.3295 1.4076 +v 0.2333 7.3164 1.3977 +v 0.2067 7.3004 1.3967 +v 0.1789 7.2826 1.3975 +v 0.1717 7.2759 1.3885 +v 0.1704 7.2676 1.3822 +v 0.1756 7.2598 1.3816 +v 0.1899 7.2900 1.3965 +v 0.1553 7.2505 1.3949 +v 0.2217 7.3393 1.4072 +v 0.1902 7.3190 1.4045 +v 0.3916 7.3580 1.3859 +v 0.4544 7.3279 1.3543 +v 0.4678 7.3139 1.3414 +v 0.4733 7.3013 1.3316 +v 0.4747 7.2892 1.3264 +v 0.4741 7.2764 1.3251 +v 0.4529 7.2326 1.3344 +v 0.4701 7.2621 1.3223 +v 0.3642 7.1937 1.3842 +v 0.4037 7.2032 1.3657 +v 0.3178 7.1920 1.3967 +v 0.2672 7.1966 1.3980 +v 0.1764 7.2308 1.3853 +v 0.2245 7.2075 1.3934 +v 0.4330 7.2170 1.3521 +v 0.1718 7.3036 1.4033 +v 0.1520 7.2646 1.4022 +v 0.1606 7.2896 1.4040 +v 0.1542 7.2773 1.4045 +v 0.2627 7.3555 1.4077 +v 0.3499 7.3652 1.4020 +v 0.3073 7.3643 1.4084 +v 0.4284 7.3444 1.3712 +v 1.9870 -7.8918 1.5496 +v 1.8534 -7.8772 1.5570 +v 1.8132 -8.0219 1.5454 +v 2.0341 -8.0499 1.5585 +v 1.8823 -7.9305 1.7396 +v 1.8527 -8.0108 1.8571 +v 2.0413 -8.0149 1.8432 +v 2.0008 -7.9385 1.7263 +v 1.8721 -7.9925 1.8731 +v 2.0317 -7.9912 1.8608 +v 1.9959 -7.9436 1.7345 +v 1.8897 -7.9413 1.7504 +v 1.7928 -8.0541 1.7351 +v 2.0536 -8.0527 1.7422 +v 2.0038 -7.9167 1.6811 +v 1.8667 -7.9100 1.6924 +v 1.8666 -7.8896 1.6400 +v 1.9976 -7.9013 1.6341 +v 2.0562 -8.0607 1.6502 +v 1.7733 -8.0519 1.6511 +v 1.8621 -7.8780 1.5903 +v 2.0403 -8.0514 1.5780 +v 1.9896 -7.8968 1.5750 +v 1.8025 -8.0272 1.5832 +v 1.8640 -7.8846 1.6142 +v 2.0474 -8.0593 1.6026 +v 1.9967 -7.9007 1.6096 +v 1.7946 -8.0372 1.6099 +v 1.8168 -8.0445 1.7874 +v 2.0035 -7.9271 1.7004 +v 2.0526 -8.0506 1.7970 +v 1.8723 -7.9199 1.7124 +v 1.8715 -8.1214 1.5487 +v 1.9238 -8.0587 1.8889 +v 1.9231 -8.0280 1.9117 +v 1.8778 -8.1461 1.7795 +v 1.8696 -8.1614 1.6510 +v 1.8755 -8.1389 1.5791 +v 1.8705 -8.1517 1.6138 +v 1.9033 -8.1211 1.8307 +v 1.9536 -8.1433 1.6089 +v 1.9459 -8.1389 1.5809 +v 2.0033 -8.1158 1.8209 +v 1.9981 -8.0205 1.9020 +v 1.9757 -8.1418 1.6506 +v 2.0037 -8.1418 1.7665 +v 1.9384 -8.1294 1.5579 +v 1.9988 -8.0534 1.8818 +v 1.8863 -7.9837 1.8803 +v 2.0199 -7.9816 1.8650 +v 1.9905 -7.9487 1.7435 +v 1.8977 -7.9496 1.7554 +v 1.9206 -8.0095 1.9017 +v 1.9957 -8.0053 1.8960 +v 1.8139 -7.9396 1.5570 +v 2.0149 -7.9355 1.5567 +v 1.8627 -7.9579 1.7900 +v 2.0307 -7.9650 1.7621 +v 1.8752 -7.9583 1.8017 +v 2.0215 -7.9580 1.7772 +v 1.8153 -7.9614 1.6963 +v 2.0398 -7.9440 1.6334 +v 1.8075 -7.9525 1.6477 +v 2.0453 -7.9603 1.6932 +v 1.8150 -7.9457 1.5900 +v 2.0211 -7.9373 1.5770 +v 1.8089 -7.9473 1.6199 +v 2.0310 -7.9405 1.6078 +v 2.0395 -7.9698 1.7211 +v 1.8369 -7.9664 1.7384 +v 2.0067 -7.9577 1.7853 +v 1.8825 -7.9605 1.8041 +v 1.8403 -8.0801 1.5513 +v 2.0270 -8.0350 1.8682 +v 1.8936 -8.0168 1.9091 +v 1.9833 -8.0930 1.5592 +v 1.8300 -8.1082 1.7505 +v 1.8134 -8.1066 1.6518 +v 1.8369 -8.0939 1.5775 +v 1.8286 -8.0996 1.6099 +v 2.0392 -8.0817 1.8055 +v 1.8896 -8.0472 1.8844 +v 1.8588 -8.0988 1.8230 +v 2.0087 -8.1040 1.6101 +v 1.9897 -8.0996 1.5812 +v 2.0204 -8.0086 1.8848 +v 2.0258 -8.1040 1.6505 +v 2.0431 -8.0890 1.7531 +v 1.8987 -7.9978 1.8892 +v 2.0149 -7.9933 1.8772 +v 2.1196 -7.9607 1.8140 +v 2.0997 -8.0077 1.8638 +v 2.2152 -8.0042 1.8585 +v 2.1925 -7.9551 1.8119 +v 2.1065 -7.9969 1.8720 +v 2.2079 -7.9986 1.8652 +v 2.1902 -7.9614 1.8162 +v 2.1222 -7.9666 1.8197 +v 2.0770 -8.0134 1.7664 +v 2.2313 -8.0366 1.7467 +v 2.1927 -7.9450 1.7780 +v 2.1157 -7.9430 1.7812 +v 2.0808 -8.0153 1.8209 +v 2.1931 -7.9513 1.7932 +v 2.2324 -8.0257 1.8066 +v 2.1155 -7.9504 1.7966 +v 2.1294 -8.0405 1.9047 +v 2.1323 -8.0174 1.9062 +v 2.1194 -8.1232 1.7454 +v 2.1161 -8.0898 1.8647 +v 2.1846 -8.0944 1.8650 +v 2.1809 -8.0176 1.9071 +v 2.1807 -8.1197 1.7420 +v 2.1850 -8.0402 1.9012 +v 2.1136 -7.9900 1.8753 +v 2.2008 -7.9903 1.8740 +v 2.1859 -7.9674 1.8218 +v 2.1267 -7.9713 1.8244 +v 2.1297 -8.0059 1.9014 +v 2.1829 -8.0067 1.8984 +v 2.2248 -8.0320 1.7014 +v 2.1156 -7.9208 1.7582 +v 2.1920 -7.9217 1.7554 +v 2.0802 -8.0050 1.7216 +v 2.1249 -8.1041 1.6765 +v 2.1808 -8.0967 1.6708 +v 2.1039 -7.9756 1.8276 +v 2.2088 -7.9715 1.8266 +v 2.1095 -7.9798 1.8325 +v 2.2030 -7.9742 1.8325 +v 2.0949 -7.9460 1.7786 +v 2.2243 -7.9790 1.7605 +v 2.2213 -7.9797 1.7907 +v 2.0937 -7.9610 1.7989 +v 2.1931 -7.9762 1.8371 +v 2.1207 -7.9794 1.8372 +v 2.2218 -7.9760 1.7330 +v 2.0945 -7.9423 1.7443 +v 2.2102 -8.0231 1.8809 +v 2.1128 -8.0090 1.8966 +v 2.0825 -8.0895 1.7458 +v 2.2220 -8.0602 1.8358 +v 2.1064 -8.0268 1.8901 +v 2.0878 -8.0590 1.8337 +v 2.2046 -8.0084 1.8884 +v 2.2217 -8.0836 1.7412 +v 2.1187 -7.9990 1.8932 +v 2.1951 -7.9973 1.8910 +v 2.0896 -8.0768 1.6874 +v 2.2118 -8.0750 1.6819 +v 0.3489 6.9519 1.4254 +v 0.0949 6.9435 1.6321 +v 0.1729 6.8944 1.4890 +v 0.0334 6.9424 1.6716 +v 0.0648 6.9440 1.6586 +v 0.1619 6.9190 1.5348 +v 0.1713 6.9033 1.5090 +v 0.1216 6.9403 1.6052 +v 0.2136 7.0547 1.4478 +v 0.2830 7.0134 1.4491 +v 0.3340 7.0395 1.4313 +v 0.2425 7.0794 1.4417 +v 0.0347 7.1410 1.5487 +v 0.0643 7.1268 1.5321 +v 0.4973 6.9449 1.3170 +v 0.5497 6.9821 1.2637 +v 0.2374 6.9129 1.4551 +v 0.2744 6.8580 1.4431 +v 0.1710 6.9319 1.4881 +v 0.0674 6.9975 1.6280 +v 0.0185 6.7749 1.5650 +v 0.0889 6.7863 1.5351 +v 0.0374 6.7794 1.5593 +v 0.2282 6.8445 1.4587 +v 0.4518 7.2551 1.3376 +v 0.4406 7.2629 1.3495 +v 0.4295 7.2712 1.3613 +v 0.2120 7.2385 1.3875 +v 0.2218 7.2520 1.3842 +v 0.2067 7.2296 1.3879 +v 0.1851 7.2042 1.3889 +v 0.4784 7.2394 1.3125 +v 0.1743 7.1878 1.4070 +v 0.4995 7.2271 1.2985 +v 0.1819 7.1079 1.4383 +v 0.5467 7.1934 1.2520 +v 0.1362 7.0040 1.5085 +v 0.5763 7.1741 1.2250 +v 0.1050 7.1691 1.4622 +v 0.6007 7.1524 1.1912 +v 0.6796 6.9961 0.8807 +v 0.1397 6.9866 1.5353 +v 0.1419 6.9689 1.5522 +v 0.1418 6.9154 1.5735 +v 0.1446 6.9513 1.5632 +v 0.6924 6.9527 0.7108 +v 0.6871 6.9589 0.7678 +v 0.5223 7.2117 1.2758 +v 0.1403 7.1364 1.4467 +v 0.4267 7.2712 1.3461 +v 0.2270 7.2537 1.3727 +v 0.4300 7.2715 1.3132 +v 0.2293 7.2560 1.3435 +v 0.4466 7.2544 1.3149 +v 0.2123 7.2149 1.3478 +v 0.4576 7.2448 1.2810 +v 0.2021 7.1897 1.3131 +v 0.4608 7.2386 1.2480 +v 0.1980 7.1752 1.2775 +v 0.4590 7.2362 1.2229 +v 0.1980 7.1698 1.2499 +v 0.4555 7.2365 1.2040 +v 0.1987 7.1696 1.2286 +v 0.4505 7.2388 1.1864 +v 0.1999 7.1726 1.2087 +v 0.4425 7.2430 1.1669 +v 0.2028 7.1788 1.1864 +v 0.4278 7.2493 1.1429 +v 0.2112 7.1904 1.1580 +v 0.3917 7.3422 1.1205 +v 0.3796 7.3580 1.1216 +v 0.2269 7.3536 1.1259 +v 0.3447 7.3840 1.1251 +v 0.2005 7.2908 1.1264 +v 0.3232 7.3906 1.1264 +v 0.4331 7.2685 1.3583 +v 0.2179 7.2467 1.3863 +v 0.4639 7.2475 1.3245 +v 0.1971 7.2180 1.3871 +v 0.1466 6.9329 1.5668 +v 0.1618 7.1705 1.4211 +v 0.4689 6.9935 1.3472 +v 0.1222 6.7908 1.5171 +v 0.1857 6.8348 1.4708 +v 0.1640 6.8001 1.4923 +v 0.0604 6.7836 1.5474 +v 0.1757 6.8899 1.4694 +v 0.3642 6.7020 1.3771 +v 0.3392 6.7543 1.4028 +v 0.3301 6.5598 1.3716 +v 0.3328 6.5990 1.3782 +v 0.3221 6.6394 1.3931 +v 0.3005 6.6785 1.4164 +v 0.2012 6.8982 1.4623 +v 0.2881 6.9327 1.4479 +v 0.3255 6.8759 1.4218 +v 0.3253 6.6909 1.3973 +v 0.3851 6.8959 1.3979 +v 0.5396 6.8469 1.2375 +v 0.5819 6.8923 1.1801 +v 0.5503 6.7903 1.1837 +v 0.5905 6.8425 1.1234 +v 0.3500 6.6443 1.3741 +v 0.3607 6.5936 1.3544 +v 0.0676 6.3331 1.4894 +v 0.1362 6.3502 1.4619 +v 0.1990 6.3798 1.4203 +v 0.2580 6.4162 1.3825 +v 0.3074 6.4555 1.3526 +v 0.3371 6.4970 1.3416 +v 0.3541 6.5439 1.3431 +v 0.2806 6.3387 1.3327 +v 0.2198 6.2877 1.3779 +v 0.1512 6.2503 1.4211 +v 0.0759 6.2327 1.4424 +v 0.4012 6.5127 1.2651 +v 0.3717 6.4489 1.2690 +v 0.3314 6.3918 1.2939 +v 0.4203 6.6518 1.3134 +v 0.4183 6.5831 1.2828 +v 0.5853 7.0256 1.2159 +v 0.6157 6.9493 1.1288 +v 0.6238 6.9059 1.0719 +v 0.6094 7.0755 1.1765 +v 0.6369 7.0106 1.0872 +v 0.6478 6.9751 1.0308 +v 0.6221 7.1277 1.1500 +v 0.6486 7.0748 1.0587 +v 0.6606 7.0480 1.0028 +v 0.6248 7.1799 1.1372 +v 0.6539 7.1417 1.0447 +v 0.6664 7.1234 0.9892 +v 0.6232 7.2322 1.1362 +v 0.6545 7.2113 1.0450 +v 0.6684 7.2016 0.9904 +v 0.3674 7.7220 1.3870 +v 0.5518 7.6212 1.2279 +v 0.0605 7.7675 1.4941 +v 0.1600 7.7672 1.4763 +v 0.6757 7.2836 0.9518 +v 0.2608 7.7507 1.4389 +v 0.4688 7.6793 1.3165 +v 0.6595 7.3793 0.9949 +v 0.6371 7.4697 1.0536 +v 0.6063 7.5489 1.1373 +v 0.6788 7.1050 0.9307 +v 0.6824 7.1932 0.9359 +v 0.6718 7.0209 0.9421 +v 0.6586 6.9395 0.9698 +v 0.6306 6.8612 1.0068 +v 0.5974 6.7871 1.0551 +v 0.3877 6.5884 1.3243 +v 0.5558 6.7241 1.1216 +v 0.2546 7.1251 1.4238 +v 0.2703 6.3698 1.3583 +v 0.3779 6.5276 1.3063 +v 0.2100 6.3279 1.4032 +v 0.0721 6.2773 1.4686 +v 0.1467 6.2933 1.4487 +v 0.3546 6.4719 1.3073 +v 0.3184 6.4208 1.3262 +v 0.3827 6.6489 1.3511 +v 0.3236 7.1121 1.4116 +v 0.0717 6.2082 1.4229 +v 0.1506 6.2287 1.3991 +v 0.2197 6.2650 1.3568 +v 0.2822 6.3160 1.3088 +v 0.3420 6.3682 1.2606 +v 0.3880 6.4286 1.2295 +v 0.4247 6.4983 1.2166 +v 0.4555 6.5769 1.2187 +v 0.5130 7.7996 1.2336 +v 0.5977 7.7181 1.1338 +v 0.3979 7.8535 1.3143 +v 0.2794 7.8928 1.3867 +v 0.6637 7.5190 0.9597 +v 0.6439 7.6209 1.0421 +v 0.6944 7.0747 0.8310 +v 0.6963 7.1793 0.8429 +v 0.6875 7.2891 0.8658 +v 0.6656 6.8737 0.8310 +v 0.6759 7.4083 0.8958 +v 0.5537 6.5792 0.9688 +v 0.5981 6.6629 0.8951 +v 0.6339 6.7604 0.8453 +v 0.0627 7.9172 1.4416 +v 0.1569 7.9109 1.4290 +v 0.6824 6.9730 0.8292 +v 0.1339 7.1981 1.4261 +v 0.1969 7.1465 1.4224 +v 0.3270 7.0815 1.4200 +v 0.2384 6.9838 1.4550 +v 0.1908 7.0230 1.4578 +v 0.1416 7.0264 1.4881 +v 0.1531 7.0535 1.4700 +v 0.1171 7.0511 1.5140 +v 0.1227 7.0806 1.4911 +v 0.0919 7.0715 1.5384 +v 0.0942 7.1055 1.5132 +v 0.2657 6.7257 1.4455 +v 0.4284 7.5534 1.3656 +v 0.5016 7.5142 1.3026 +v 0.5562 7.4629 1.2394 +v 0.5906 7.4069 1.1789 +v 0.6143 7.3462 1.1320 +v 0.6313 7.2840 1.1039 +v 0.1529 7.6050 1.5063 +v 0.0601 6.8474 -0.1831 +v 0.1596 6.8457 -0.1787 +v 0.2663 6.8354 -0.1629 +v 0.3585 6.8314 -0.1106 +v 0.4374 6.8259 -0.0366 +v 0.4910 6.8269 0.0789 +v 0.5313 6.8370 0.2001 +v 0.5565 6.8685 0.2919 +v 0.5737 6.9028 0.3597 +v 0.5715 6.8531 0.3925 +v 0.5466 6.8114 0.3331 +v 0.4852 6.7613 0.1028 +v 0.4363 6.7613 -0.0135 +v 0.3541 6.7680 -0.0985 +v 0.2592 6.7787 -0.1467 +v 0.1566 6.7957 -0.1603 +v 0.0579 6.8029 -0.1661 +v 0.5190 6.7708 0.2394 +v 0.3904 6.7680 1.3746 +v 0.4396 6.7861 1.3390 +v 0.4105 6.7113 1.3456 +v 0.4561 6.7260 1.3001 +v 0.4627 6.6568 1.2581 +v 0.0671 6.1860 1.3931 +v 0.1479 6.2047 1.3714 +v 0.2223 6.2432 1.3276 +v 0.2882 6.2966 1.2760 +v 0.3489 6.3506 1.2285 +v 0.3992 6.4105 1.1874 +v 0.4451 6.4820 1.1575 +v 0.4984 6.5782 1.1305 +v 0.5072 6.6769 1.1904 +v 0.5038 6.7494 1.2464 +v 0.4929 6.8105 1.2936 +v 0.2505 7.1026 1.4335 +v 0.4415 6.9187 1.3619 +v 0.4001 6.9741 1.3914 +v 0.1922 7.1282 1.4315 +v 0.1505 7.1544 1.4326 +v 0.3434 7.2524 1.0903 +v 0.2947 7.2247 1.0952 +v 0.3446 7.2873 1.0876 +v 0.3441 7.3018 1.0885 +v 0.3403 7.3284 1.0933 +v 0.3352 7.3399 1.0963 +v 0.2757 7.3384 1.0971 +v 0.3228 7.3581 1.1030 +v 0.2630 7.2951 1.0906 +v 0.3174 7.3651 1.1066 +v 0.2474 7.5971 1.4697 +v 0.0625 7.6057 1.5264 +v 0.2605 6.7911 1.4444 +v 0.3090 6.8050 1.4232 +v 0.5174 6.8972 1.2747 +v 0.5673 6.9391 1.2261 +v 0.6047 6.9888 1.1778 +v 0.6255 7.0434 1.1377 +v 0.6351 7.1014 1.1077 +v 0.6387 7.1609 1.0956 +v 0.6383 7.2218 1.0939 +v 0.2297 6.7759 1.4643 +v 0.4158 6.8411 1.3714 +v 0.3629 6.8226 1.4008 +v 0.4691 6.8653 1.3304 +v 0.1018 6.7424 1.5479 +v 0.1311 6.4969 1.4946 +v 0.0536 6.4841 1.5131 +v 0.2614 6.5832 1.4147 +v 0.2715 6.6198 1.4203 +v 0.1731 6.7153 1.5094 +v 0.1678 6.7546 1.5023 +v 0.0185 6.7535 1.5689 +v 0.0409 6.7588 1.5645 +v 0.0667 6.7636 1.5530 +v 0.0950 6.7665 1.5380 +v 0.0928 6.8064 1.4486 +v 0.0922 6.7507 1.4718 +v 0.0963 6.7072 1.4758 +v 0.1004 6.6617 1.4764 +v 0.1453 6.6894 1.5479 +v 0.1424 6.6786 1.5485 +v 0.1340 6.6383 1.5383 +v 0.1438 6.7052 1.5442 +v 0.1480 6.9410 0.8298 +v 0.1556 6.9802 1.0279 +v 0.1108 6.9531 1.2282 +v 0.1008 6.8816 1.3669 +v 0.1085 6.6290 1.4911 +v 0.1094 6.6193 1.5003 +v 0.1381 6.6581 1.5424 +v 0.1288 6.6148 1.5361 +v 0.1291 6.7639 1.5213 +v 0.1358 6.7340 1.5280 +v 0.0904 6.6880 0.5716 +v 0.1199 6.8306 0.6701 +v 0.6387 7.9999 0.1434 +v 0.7466 7.6047 0.3576 +v 0.1696 8.2975 -0.0450 +v 0.3043 8.2673 -0.0299 +v 0.7194 7.3410 0.3701 +v 0.3790 7.7872 -0.2993 +v 0.4796 7.7443 -0.2261 +v 0.6808 7.5439 0.1073 +v 0.7175 7.4080 0.3081 +v 0.5616 7.6829 -0.1067 +v 0.6301 7.6164 0.0013 +v 0.7104 7.4720 0.2224 +v 0.1389 7.8254 -0.3578 +v 0.2621 7.8130 -0.3436 +v 0.6917 7.2526 0.3318 +v 0.6288 7.3377 0.0561 +v 0.6826 7.2912 0.2601 +v 0.4284 7.4129 -0.2642 +v 0.5082 7.3928 -0.1662 +v 0.5759 7.3667 -0.0559 +v 0.3360 7.4254 -0.3279 +v 0.6705 7.3175 0.1632 +v 0.1142 7.4354 -0.3882 +v 0.2278 7.4298 -0.3715 +v 0.6951 7.5771 0.8545 +v 0.7490 7.6713 0.5736 +v 0.7399 7.6635 0.6610 +v 0.7274 7.6428 0.7364 +v 0.6984 7.4427 0.8070 +v 0.7400 7.5479 0.5746 +v 0.7343 7.5406 0.6403 +v 0.7213 7.5164 0.7061 +v 0.7048 7.2982 0.7574 +v 0.7322 7.4481 0.5770 +v 0.7281 7.4384 0.6269 +v 0.7192 7.4112 0.6785 +v 0.6226 6.8372 0.5262 +v 0.6058 6.8684 0.4731 +v 0.6328 7.0360 0.3577 +v 0.6108 6.9378 0.4058 +v 0.6042 6.8973 0.4390 +v 0.7037 7.1669 0.7447 +v 0.7092 7.0446 0.6429 +v 0.8224 7.3475 0.4834 +v 0.7204 6.9045 0.6128 +v 0.7852 7.3438 0.5481 +v 0.8506 7.3134 0.4059 +v 0.8566 7.2535 0.3663 +v 0.8109 7.1020 0.3558 +v 0.8355 7.1602 0.3442 +v 0.7442 6.8525 0.5724 +v 0.7084 6.9745 0.6333 +v 0.8565 7.2842 0.3853 +v 0.8531 7.2160 0.3540 +v 0.7141 7.1672 0.6576 +v 0.7514 7.3221 0.5774 +v 0.7275 7.2882 0.6077 +v 0.7227 7.2537 0.6335 +v 0.7492 6.8572 0.5198 +v 0.7432 6.8798 0.4860 +v 0.7827 7.0454 0.3707 +v 0.7617 6.9666 0.4108 +v 0.7495 6.9175 0.4435 +v 0.7123 7.1093 0.6540 +v 0.7296 7.0492 0.6189 +v 0.8420 7.3293 0.4830 +v 0.7260 6.9307 0.5986 +v 0.8050 7.3232 0.5506 +v 0.8719 7.3089 0.4210 +v 0.8793 7.2405 0.3754 +v 0.8334 7.1048 0.3600 +v 0.8535 7.1570 0.3544 +v 0.7381 6.8988 0.5670 +v 0.7316 6.9908 0.6170 +v 0.8789 7.2699 0.3923 +v 0.8725 7.2053 0.3646 +v 0.7213 7.1519 0.6305 +v 0.7783 7.3061 0.5789 +v 0.7562 7.2641 0.6020 +v 0.7397 7.2332 0.6156 +v 0.7512 6.8967 0.5290 +v 0.7565 6.9091 0.4903 +v 0.8140 7.0583 0.3729 +v 0.7891 6.9884 0.4143 +v 0.7671 6.9346 0.4569 +v 0.7199 7.1027 0.6275 +v 0.7468 7.0476 0.6024 +v 0.8365 7.3162 0.4832 +v 0.7284 6.9529 0.5871 +v 0.8089 7.3035 0.5521 +v 0.8666 7.2959 0.4310 +v 0.8691 7.2300 0.3885 +v 0.8401 7.0993 0.3735 +v 0.8577 7.1536 0.3749 +v 0.7385 6.9270 0.5600 +v 0.7410 7.0062 0.5986 +v 0.8744 7.2613 0.4019 +v 0.8637 7.1937 0.3785 +v 0.7290 7.1410 0.6129 +v 0.7818 7.2788 0.5755 +v 0.7606 7.2472 0.5938 +v 0.7484 7.2172 0.6060 +v 0.7477 6.9204 0.5276 +v 0.7591 6.9293 0.4949 +v 0.8208 7.0695 0.3863 +v 0.7939 7.0035 0.4252 +v 0.7732 6.9550 0.4626 +v 0.7280 7.0973 0.6090 +v 0.7178 7.0609 0.5820 +v 0.8126 7.2892 0.4833 +v 0.6874 6.9946 0.5713 +v 0.7712 7.2850 0.5345 +v 0.8234 7.2790 0.4440 +v 0.8403 7.2183 0.4067 +v 0.8178 7.0964 0.4059 +v 0.8285 7.1410 0.3996 +v 0.7386 6.9659 0.5504 +v 0.6989 7.0263 0.5791 +v 0.8597 7.2517 0.4219 +v 0.8415 7.1845 0.4009 +v 0.7360 7.1289 0.5941 +v 0.7557 7.2667 0.5525 +v 0.7466 7.2256 0.5753 +v 0.7425 7.1956 0.5865 +v 0.7472 6.9595 0.5255 +v 0.7587 6.9684 0.4991 +v 0.8042 7.0771 0.4098 +v 0.7851 7.0278 0.4405 +v 0.7709 6.9832 0.4736 +v 0.7257 7.0947 0.5897 +v 0.6865 7.0837 0.5632 +v 0.7933 7.2306 0.4978 +v 0.6872 7.0520 0.5323 +v 0.7588 7.2327 0.5225 +v 0.8197 7.2219 0.4810 +v 0.8354 7.1962 0.4529 +v 0.8154 7.1153 0.4351 +v 0.8254 7.1361 0.4361 +v 0.7013 7.0358 0.5178 +v 0.6811 7.0668 0.5501 +v 0.8301 7.2119 0.4665 +v 0.8358 7.1702 0.4430 +v 0.7324 7.1199 0.5738 +v 0.7414 7.2236 0.5432 +v 0.7406 7.1965 0.5554 +v 0.7344 7.1664 0.5626 +v 0.7256 7.0260 0.5066 +v 0.7676 7.0220 0.4964 +v 0.8096 7.0946 0.4406 +v 0.7899 7.0508 0.4655 +v 0.7794 7.0301 0.4828 +v 0.7109 7.1001 0.5688 +v 0.7439 7.1263 0.5534 +v 0.7800 7.0944 0.4614 +v 0.7909 7.0833 0.4564 +v 0.7399 7.1341 0.5631 +v 0.7093 7.1014 0.5558 +v 0.7651 7.0497 0.4784 +v 0.7757 7.0653 0.4637 +v 0.7995 7.1019 0.4500 +v 0.7400 7.0440 0.4857 +v 0.7142 7.0478 0.4924 +v 0.7334 7.1519 0.5530 +v 0.7332 7.1734 0.5431 +v 0.7563 7.1975 0.5378 +v 0.7314 7.1159 0.5646 +v 0.8230 7.1639 0.4564 +v 0.8162 7.1910 0.4765 +v 0.6922 7.0764 0.5351 +v 0.7053 7.0541 0.5089 +v 0.8152 7.1360 0.4490 +v 0.8087 7.1191 0.4487 +v 0.8215 7.1807 0.4659 +v 0.8083 7.1983 0.4896 +v 0.0640 6.9013 -0.2039 +v 0.1627 6.9047 -0.2003 +v 0.2706 6.9041 -0.1804 +v 0.5759 8.0001 1.0417 +v 0.4583 8.0922 1.1298 +v 0.3646 6.9074 -0.1303 +v 0.6613 7.8798 0.9444 +v 0.7051 7.7485 0.8607 +v 0.4432 6.9044 -0.0508 +v 0.3301 8.1536 1.1938 +v 0.0796 8.2067 1.2477 +v 0.4987 6.9081 0.0566 +v 0.5698 6.9348 0.2576 +v 0.5867 6.9589 0.3259 +v 0.1848 8.1866 1.2343 +v 0.5392 6.9134 0.1740 +v 0.7131 7.6112 0.7985 +v 0.7095 7.4826 0.7575 +v 0.7108 7.3681 0.7193 +v 0.6216 6.9859 0.3787 +v 0.7169 7.2151 0.6499 +v 0.7722 7.0060 0.3907 +v 0.7281 7.1954 0.6272 +v 0.8015 7.0233 0.3936 +v 0.7368 7.1810 0.6126 +v 0.8062 7.0324 0.4077 +v 0.7420 7.1631 0.5938 +v 0.7945 7.0498 0.4254 +v 0.7398 7.1428 0.5717 +v 0.8001 7.0729 0.4509 +v 0.7807 7.2063 0.5254 +v 0.6960 7.0637 0.5226 +v 0.7986 7.2026 0.5045 +v 0.6926 7.0893 0.5454 +v 0.7695 7.2617 0.5278 +v 0.7137 7.0979 0.5786 +v 0.6851 7.0758 0.5748 +v 0.7903 7.0381 0.4579 +v 0.7744 7.0025 0.4791 +v 0.7417 7.2080 0.5620 +v 0.7544 7.2478 0.5444 +v 0.6750 7.0536 0.5631 +v 0.8396 7.2103 0.4326 +v 0.8434 7.1786 0.4207 +v 0.7491 6.9949 0.5247 +v 0.7170 7.0067 0.5361 +v 0.7334 7.1229 0.5816 +v 0.7356 7.1785 0.5709 +v 0.8316 7.2376 0.4478 +v 0.8259 7.2495 0.4673 +v 0.8172 7.1095 0.4185 +v 0.8243 7.1357 0.4157 +v 0.8114 7.0876 0.4230 +v 0.7661 6.9928 0.5012 +v 0.6816 7.0303 0.5493 +v 0.8125 7.2614 0.4902 +v 0.7401 7.1504 0.5795 +v 0.8016 7.0631 0.4412 +v 0.7615 7.0775 0.4786 +v 0.7249 7.0971 0.5300 +v 0.7495 7.1281 0.5330 +v 0.7266 7.1375 0.5211 +v 0.7830 7.1805 0.4906 +v 0.7717 6.9758 0.4699 +v 0.7306 7.0954 0.5963 +v 0.8104 7.3009 0.4833 +v 0.7394 7.1695 0.5242 +v 0.7333 7.1101 0.5545 +v 0.8652 7.2552 0.4143 +v 0.7474 7.2050 0.5964 +v 0.7427 7.0565 0.5860 +v 0.7390 6.9485 0.5557 +v 0.7427 7.0597 0.4824 +v 0.7326 7.0623 0.4924 +v 0.8051 7.1597 0.4673 +v 0.7939 7.1753 0.4822 +v 0.7784 7.1425 0.4633 +v 0.7729 7.1837 0.5007 +v 0.7018 7.0924 0.5258 +v 0.7698 7.1323 0.4606 +v 0.7749 7.1598 0.4762 +v 0.7088 7.1018 0.5407 +v 0.7593 7.0655 0.4756 +v 0.7712 7.0785 0.4675 +v 0.7819 7.1107 0.4550 +v 0.7325 7.1375 0.5427 +v 0.7262 7.1511 0.5303 +v 0.7800 7.1548 0.4689 +v 0.7687 7.1637 0.4845 +v 0.7548 7.0697 0.4849 +v 0.7520 7.0737 0.4916 +v 0.8004 7.0469 0.4232 +v 0.7413 7.1706 0.6022 +v 0.7059 7.0852 0.5203 +v 0.7220 7.0694 0.5021 +v 0.7989 7.1380 0.4584 +v 0.7343 7.0882 0.5182 +v 0.7471 7.0790 0.5007 +v 0.7896 7.1251 0.4553 +v 0.8014 7.1683 0.4744 +v 0.7625 7.1666 0.4938 +v 0.7513 7.1202 0.5429 +v 0.7673 7.1052 0.4653 +v 0.7541 7.1791 0.5197 +v 0.7139 7.0774 0.5125 +v 0.7553 7.1694 0.5018 +v 0.7277 7.0927 0.5246 +v 0.8433 7.1895 0.3933 +v 0.7596 7.2760 0.5591 +v 0.7133 6.9817 0.5758 +v 0.7651 7.1198 0.4601 +v 0.7665 7.0903 0.4715 +v 0.7588 6.9551 0.4975 +v 0.8356 7.1406 0.3948 +v 0.8560 7.2816 0.4393 +v 0.7345 7.1335 0.6016 +v 0.7341 7.1541 0.5151 +v 0.7374 7.1070 0.5410 +v 0.7427 7.1649 0.5116 +v 0.7402 7.0839 0.5095 +v 0.8609 7.2220 0.3992 +v 0.7473 6.9465 0.5254 +v 0.8118 7.0747 0.4087 +v 0.8216 7.0956 0.4030 +v 0.7519 7.2345 0.5848 +v 0.7895 7.0232 0.4372 +v 0.7742 7.2938 0.5415 +v 0.7161 7.0153 0.5872 +v 0.7361 7.1424 0.4947 +v 0.7520 7.1175 0.5074 +v 0.7314 7.1254 0.4987 +v 0.7572 7.1056 0.5133 +v 0.7512 7.0941 0.5161 +v 0.7523 7.1114 0.5282 +v 0.7432 7.1213 0.4749 +v 0.7504 7.1108 0.4803 +v 0.7484 7.1405 0.4764 +v 0.7656 7.0978 0.4803 +v 0.7610 7.0850 0.4854 +v 0.7599 7.1024 0.5012 +v 0.7549 7.0920 0.5051 +v 0.7297 7.1302 0.5112 +v 0.7521 7.1233 0.5227 +v 0.7330 7.1458 0.5048 +v 0.7457 7.0973 0.5259 +v 0.7422 7.1413 0.4856 +v 0.7509 7.1136 0.4958 +v 0.7355 7.1225 0.4871 +v 0.7572 7.1378 0.4682 +v 0.7561 7.1087 0.4697 +v 0.7523 7.1206 0.4674 +v 0.7635 7.1013 0.4907 +v 0.7581 7.0895 0.4944 +v 0.7193 7.0959 0.5843 +v 0.7714 6.9922 0.4746 +v 0.7556 7.2570 0.5480 +v 0.8409 7.1817 0.4106 +v 0.7364 6.9848 0.5463 +v 0.7383 7.1872 0.5782 +v 0.8370 7.2465 0.4321 +v 0.8174 7.0973 0.4123 +v 0.8103 7.0789 0.4162 +v 0.7663 7.2745 0.5292 +v 0.6985 7.0682 0.5785 +v 0.7890 7.0343 0.4442 +v 0.7440 7.2174 0.5684 +v 0.6822 7.0400 0.5712 +v 0.8378 7.2173 0.4164 +v 0.7481 6.9746 0.5258 +v 0.7350 7.1256 0.5878 +v 0.8182 7.2694 0.4517 +v 0.8303 7.1344 0.4070 +v 0.7613 6.9782 0.4998 +v 0.6819 7.0150 0.5616 +v 0.8160 7.2763 0.4878 +v 0.7412 7.1567 0.5865 +v 0.7983 7.0515 0.4313 +v 0.7603 7.1650 0.3903 +v 0.7966 7.3072 0.4397 +v 0.7739 7.3232 0.4868 +v 0.7466 7.0992 0.4005 +v 0.7065 7.0453 0.6631 +v 0.7008 6.9657 0.6492 +v 0.8046 7.2823 0.4097 +v 0.7964 7.2514 0.3992 +v 0.7122 6.8928 0.6269 +v 0.7278 6.8229 0.5791 +v 0.7058 6.8698 0.4887 +v 0.6993 6.9424 0.4820 +v 0.7098 7.1212 0.6763 +v 0.7115 7.1913 0.6809 +v 0.7104 6.9839 0.4567 +v 0.7279 7.3134 0.6133 +v 0.7203 7.2832 0.6455 +v 0.7847 7.2124 0.3902 +v 0.7335 7.3259 0.5839 +v 0.7407 7.3221 0.5440 +v 0.7137 6.8396 0.5200 +v 0.7294 7.0550 0.4210 +v 0.7148 7.2444 0.6682 +v 0.7175 7.0272 0.4364 +v 0.7054 7.1693 0.3865 +v 0.7374 7.3125 0.4435 +v 0.6820 7.1006 0.3947 +v 0.7036 7.0500 0.6915 +v 0.7361 7.2546 0.4039 +v 0.6904 6.8783 0.6416 +v 0.6538 6.8940 0.4989 +v 0.7081 7.2287 0.7093 +v 0.7263 7.3590 0.6186 +v 0.7309 7.3662 0.5311 +v 0.6718 7.0520 0.4073 +v 0.7325 7.3479 0.4668 +v 0.6970 6.9594 0.6723 +v 0.7380 7.2867 0.4201 +v 0.6952 6.8252 0.5854 +v 0.6511 6.9297 0.4734 +v 0.7078 7.1400 0.7061 +v 0.6578 6.9691 0.4480 +v 0.7185 7.3321 0.6586 +v 0.7239 7.2201 0.3929 +v 0.7310 7.3694 0.5817 +v 0.6691 6.8585 0.5442 +v 0.7128 7.2911 0.6885 +v 0.6668 7.0124 0.4247 +v 1.9709 -7.8625 1.4860 +v 1.8277 -7.8671 1.4594 +v 1.7769 -8.0143 1.4217 +v 2.0140 -8.0439 1.5000 +v 1.8403 -8.1247 1.3959 +v 1.9350 -8.1288 1.4534 +v 1.7824 -7.9251 1.4333 +v 2.0059 -7.9210 1.4962 +v 1.7996 -8.0861 1.3967 +v 1.9691 -8.0889 1.4763 +v 1.9690 -7.8433 1.4363 +v 1.8188 -7.8379 1.4052 +v 1.7541 -8.0015 1.3613 +v 2.0085 -8.0331 1.4808 +v 1.8229 -8.1316 1.3440 +v 1.9503 -8.1462 1.4020 +v 1.7637 -7.9086 1.3743 +v 2.0070 -7.8841 1.4561 +v 1.7866 -8.0869 1.3521 +v 1.9830 -8.1209 1.4388 +v 1.9928 -7.8182 1.3410 +v 1.8121 -7.8173 1.3286 +v 1.7399 -7.9842 1.2814 +v 2.0143 -8.0281 1.4528 +v 1.8032 -8.1355 1.2769 +v 1.9998 -8.1676 1.3656 +v 1.7588 -7.8860 1.3069 +v 2.0283 -7.8823 1.4121 +v 1.7649 -8.0786 1.2728 +v 2.0086 -8.1281 1.4133 +v 2.2007 -7.8958 1.6539 +v 2.1052 -7.8865 1.6580 +v 2.0712 -7.9943 1.6003 +v 2.2306 -8.0155 1.6027 +v 2.1240 -8.0867 1.5705 +v 2.1656 -8.0865 1.5703 +v 2.0853 -7.9230 1.6374 +v 2.2264 -7.9526 1.6349 +v 2.0918 -8.0578 1.5834 +v 2.2021 -8.0610 1.5832 +v 2.2038 -7.8816 1.5988 +v 2.1062 -7.8665 1.6015 +v 2.0726 -7.9829 1.5792 +v 2.2273 -8.0101 1.5772 +v 2.1219 -8.0883 1.5507 +v 2.1626 -8.0870 1.5497 +v 2.0855 -7.9165 1.5976 +v 2.2251 -7.9429 1.6008 +v 2.0905 -8.0574 1.5628 +v 2.1986 -8.0594 1.5601 +v 2.1881 -7.8864 1.5500 +v 2.1173 -7.8755 1.5493 +v 2.0729 -7.9749 1.5579 +v 2.2166 -8.0082 1.5509 +v 2.1180 -8.0918 1.5396 +v 2.1598 -8.0909 1.5340 +v 2.0935 -7.9030 1.5524 +v 2.2098 -7.9373 1.5481 +v 2.0867 -8.0619 1.5475 +v 2.1923 -8.0622 1.5358 +v 2.1769 -7.8856 1.4792 +v 2.1125 -7.8735 1.4760 +v 2.0563 -7.9759 1.5166 +v 2.2099 -8.0159 1.4984 +v 2.1034 -8.1125 1.4778 +v 2.1530 -8.1150 1.4678 +v 2.0907 -7.8838 1.4846 +v 2.1996 -7.9344 1.4881 +v 2.0672 -8.1008 1.4877 +v 2.1928 -8.0846 1.4788 +v 2.1644 -8.0850 1.5836 +v 2.2048 -8.0626 1.6037 +v 2.2292 -8.0195 1.6243 +v 2.1843 -7.9067 1.6834 +v 2.1957 -7.9034 -0.5165 +v 2.1249 -8.0855 1.5847 +v 2.1191 -7.8974 1.6869 +v 2.0945 -7.9293 1.6678 +v 2.0748 -7.9976 1.6356 +v 2.2234 -7.9565 1.6563 +v 2.0906 -8.0578 1.6113 +v 2.1786 -7.8788 1.4426 +v 2.1100 -7.8677 1.4379 +v 2.0484 -7.9844 1.5023 +v 2.2084 -8.0204 1.4816 +v 2.2036 -7.7878 -0.4863 +v 2.0968 -8.1299 1.4434 +v 2.1544 -8.1289 1.4341 +v 2.0835 -7.8777 1.4533 +v 2.1969 -7.9265 1.4656 +v 2.0581 -8.1125 1.4666 +v 2.1830 -8.0966 1.4526 +v 2.1944 -7.8554 1.3518 +v 2.0838 -7.8435 1.3603 +v 2.0342 -7.9984 1.4653 +v 2.2064 -8.0020 1.4559 +v 2.1947 -7.6705 -0.4520 +v 2.0613 -8.1565 1.3788 +v 2.1724 -8.1109 1.3724 +v 2.0537 -7.8863 1.4184 +v 2.2108 -7.8973 1.4083 +v 2.0339 -8.1232 1.4135 +v 2.2013 -8.0729 1.4257 +v 2.2855 -7.9592 1.7267 +v 2.2573 -8.0122 1.7766 +v 2.3671 -8.0049 1.7720 +v 2.3415 -7.9500 1.7312 +v 2.2658 -7.9834 1.7881 +v 2.3614 -7.9789 1.7890 +v 2.3382 -7.9653 1.7401 +v 2.2929 -7.9624 1.7380 +v 2.2385 -8.0541 1.6926 +v 2.3845 -8.0564 1.6882 +v 2.3479 -7.9372 1.6989 +v 2.2840 -7.9387 1.6962 +v 2.2435 -8.0451 1.7519 +v 2.3463 -7.9411 1.7116 +v 2.3804 -8.0427 1.7424 +v 2.2832 -7.9443 1.7079 +v 2.2909 -8.0360 1.8061 +v 2.2908 -7.9989 1.8159 +v 2.2774 -8.1157 1.6976 +v 2.2792 -8.0775 1.7719 +v 2.3433 -8.0744 1.7722 +v 2.3323 -7.9946 1.8201 +v 2.3436 -8.1178 1.6934 +v 2.3376 -8.0304 1.8076 +v 2.2788 -7.9746 1.7898 +v 2.3464 -7.9737 1.7873 +v 2.3379 -7.9689 1.7436 +v 2.2967 -7.9667 1.7420 +v 2.2915 -7.9819 1.8130 +v 2.3332 -7.9817 1.8134 +v 2.3826 -8.0513 1.6482 +v 2.2863 -7.9327 1.6752 +v 2.3523 -7.9367 1.6754 +v 2.2438 -8.0538 1.6628 +v 2.2832 -8.1196 1.6409 +v 2.3428 -8.1186 1.6323 +v 2.2590 -7.9792 1.7303 +v 2.3710 -7.9778 1.7391 +v 2.2710 -7.9729 1.7410 +v 2.3635 -7.9769 1.7488 +v 2.2461 -7.9959 1.6920 +v 2.3865 -7.9980 1.6921 +v 2.3833 -7.9969 1.7138 +v 2.2493 -7.9818 1.7187 +v 2.3565 -7.9735 1.7501 +v 2.2793 -7.9695 1.7490 +v 2.3871 -7.9958 1.6702 +v 2.2488 -7.9953 1.6732 +v 2.3557 -8.0212 1.7915 +v 2.2713 -7.9919 1.7985 +v 2.2468 -8.0843 1.6943 +v 2.3687 -8.0556 1.7548 +v 2.2663 -8.0300 1.7877 +v 2.2532 -8.0606 1.7545 +v 2.3545 -7.9855 1.8034 +v 2.3700 -8.0844 1.6895 +v 2.2812 -7.9776 1.7983 +v 2.3429 -7.9740 1.7981 +v 2.2533 -8.0880 1.6512 +v 2.3696 -8.0835 1.6366 +v 2.3684 -7.9136 1.6045 +v 2.2764 -7.9022 1.6089 +v 2.2467 -8.0255 1.5783 +v 2.3837 -8.0219 1.5673 +v 2.2877 -8.0941 1.5512 +v 2.3341 -8.0950 1.5468 +v 2.2497 -7.9626 1.5953 +v 2.3846 -7.9635 1.5924 +v 2.2572 -8.0654 1.5604 +v 2.3695 -8.0732 1.5551 +v 2.3671 -7.9148 1.5549 +v 2.2753 -7.8955 1.5595 +v 2.2473 -8.0226 1.5565 +v 2.3854 -8.0151 1.5420 +v 2.2876 -8.0906 1.5383 +v 2.3328 -8.0916 1.5325 +v 2.2504 -7.9542 1.5646 +v 2.3852 -7.9547 1.5619 +v 2.2556 -8.0617 1.5464 +v 2.3689 -8.0719 1.5369 +v 2.3520 -7.9040 1.5196 +v 2.2878 -7.8959 1.5198 +v 2.2503 -8.0219 1.5336 +v 2.3835 -8.0138 1.5179 +v 2.2876 -8.0873 1.5281 +v 2.3308 -8.0904 1.5199 +v 2.2537 -7.9529 1.5271 +v 2.3790 -7.9508 1.5216 +v 2.2548 -8.0620 1.5350 +v 2.3673 -8.0737 1.5170 +v 2.3409 -7.9093 1.4290 +v 2.2778 -7.8984 1.4390 +v 2.2456 -8.0254 1.4928 +v 2.3741 -8.0246 1.4467 +v 2.2851 -8.1114 1.4618 +v 2.3230 -8.1063 1.4572 +v 2.2509 -7.9446 1.4639 +v 2.3620 -7.9452 1.4358 +v 2.2502 -8.0757 1.4921 +v 2.3557 -8.0888 1.4514 +v 2.3322 -8.0989 1.5599 +v 2.3684 -8.0741 1.5769 +v 2.3812 -8.0290 1.5871 +v 2.3550 -7.9238 1.6323 +v 2.2887 -8.0982 1.5638 +v 2.2877 -7.9143 1.6339 +v 2.2503 -7.9753 1.6172 +v 2.2484 -8.0338 1.6029 +v 2.3828 -7.9723 1.6111 +v 2.2586 -8.0704 1.5771 +v 2.3366 -7.9042 1.3990 +v 2.2771 -7.8893 1.4083 +v 2.2403 -8.0223 1.4760 +v 2.3786 -8.0269 1.4303 +v 2.2791 -8.1273 1.4296 +v 2.3252 -8.1249 1.4075 +v 2.2498 -7.9349 1.4449 +v 2.3607 -7.9432 1.4113 +v 2.2525 -8.0829 1.4725 +v 2.3613 -8.0844 1.4127 +v 2.3361 -7.8887 1.3289 +v 2.2625 -7.8681 1.3395 +v 2.2313 -8.0018 1.4542 +v 2.3764 -8.0122 1.4007 +v 2.2530 -8.1466 1.3738 +v 2.3340 -8.1461 1.3270 +v 2.2421 -7.9063 1.4014 +v 2.3672 -7.9235 1.3563 +v 2.2422 -8.0739 1.4243 +v 2.3688 -8.0892 1.3714 +v 2.4268 -7.9705 1.6041 +v 2.4074 -8.0093 1.6399 +v 2.5061 -7.9954 1.6315 +v 2.4818 -7.9696 1.6053 +v 2.4138 -7.9914 1.6441 +v 2.4994 -7.9876 1.6351 +v 2.4809 -7.9782 1.6104 +v 2.4292 -7.9780 1.6093 +v 2.3901 -8.0435 1.5731 +v 2.5255 -8.0399 1.5631 +v 2.4917 -7.9619 1.5768 +v 2.4199 -7.9631 1.5777 +v 2.3905 -8.0437 1.6067 +v 2.4891 -7.9653 1.5882 +v 2.5253 -8.0211 1.6036 +v 2.4218 -7.9648 1.5880 +v 2.4256 -8.0244 1.6694 +v 2.4311 -8.0056 1.6684 +v 2.4221 -8.1298 1.5549 +v 2.4306 -8.0903 1.6460 +v 2.4995 -8.0832 1.6382 +v 2.4833 -8.0057 1.6661 +v 2.4972 -8.1198 1.5586 +v 2.4914 -8.0275 1.6645 +v 2.4209 -7.9888 1.6436 +v 2.4906 -7.9874 1.6360 +v 2.4771 -7.9784 1.6167 +v 2.4309 -7.9813 1.6160 +v 2.4387 -7.9955 1.6623 +v 2.4754 -7.9936 1.6608 +v 2.5224 -8.0443 1.5335 +v 2.4196 -7.9598 1.5631 +v 2.4945 -7.9568 1.5635 +v 2.3937 -8.0454 1.5442 +v 2.4290 -8.1216 1.5029 +v 2.4981 -8.1113 1.5017 +v 2.4082 -7.9902 1.6099 +v 2.4992 -7.9800 1.6111 +v 2.4161 -7.9854 1.6162 +v 2.4934 -7.9824 1.6165 +v 2.3948 -7.9932 1.5786 +v 2.5228 -7.9954 1.5709 +v 2.5157 -7.9933 1.5888 +v 2.3928 -7.9973 1.5932 +v 2.4877 -7.9839 1.6269 +v 2.4221 -7.9857 1.6243 +v 2.5217 -7.9955 1.5520 +v 2.3974 -7.9904 1.5648 +v 2.5027 -8.0094 1.6498 +v 2.4183 -7.9987 1.6589 +v 2.3965 -8.0851 1.5602 +v 2.5247 -8.0461 1.6230 +v 2.4119 -8.0183 1.6580 +v 2.4049 -8.0684 1.6322 +v 2.4971 -7.9985 1.6524 +v 2.5202 -8.0781 1.5607 +v 2.4221 -7.9908 1.6560 +v 2.4914 -7.9891 1.6509 +v 2.4088 -8.0964 1.5163 +v 2.5197 -8.0802 1.5191 +v 2.5047 -7.9332 1.4794 +v 2.4166 -7.9267 1.4825 +v 2.3926 -8.0352 1.4550 +v 2.5268 -8.0269 1.4549 +v 2.4335 -8.1070 1.4375 +v 2.4941 -8.1003 1.4317 +v 2.4028 -7.9685 1.4709 +v 2.5174 -7.9718 1.4759 +v 2.4060 -8.0821 1.4402 +v 2.5212 -8.0611 1.4428 +v 2.5062 -7.9223 1.4500 +v 2.4156 -7.9101 1.4477 +v 2.3934 -8.0355 1.4412 +v 2.5307 -8.0182 1.4296 +v 2.4360 -8.1100 1.4261 +v 2.4956 -8.0991 1.4221 +v 2.4018 -7.9697 1.4430 +v 2.5193 -7.9641 1.4433 +v 2.4042 -8.0790 1.4305 +v 2.5258 -8.0554 1.4195 +v 2.4951 -7.9255 1.4127 +v 2.4271 -7.9174 1.4164 +v 2.3948 -8.0354 1.4274 +v 2.5351 -8.0185 1.4086 +v 2.4365 -8.1119 1.4162 +v 2.4912 -8.1043 1.4119 +v 2.4054 -7.9558 1.4249 +v 2.5136 -7.9594 1.4128 +v 2.4059 -8.0904 1.4176 +v 2.5256 -8.0559 1.4086 +v 2.4951 -7.9343 1.3433 +v 2.4301 -7.9122 1.3539 +v 2.3974 -8.0383 1.4029 +v 2.5310 -8.0201 1.3557 +v 2.4304 -8.1233 1.3758 +v 2.4889 -8.1149 1.3593 +v 2.4019 -7.9466 1.3798 +v 2.5156 -7.9730 1.3455 +v 2.4070 -8.1044 1.3824 +v 2.5169 -8.0802 1.3574 +v 2.4955 -8.1077 1.4743 +v 2.5180 -8.0726 1.4845 +v 2.5190 -8.0359 1.4962 +v 2.4938 -7.9441 1.5111 +v 2.4329 -8.1139 1.4725 +v 2.4252 -7.9382 1.5105 +v 2.4038 -7.9763 1.5138 +v 2.3999 -8.0437 1.4921 +v 2.5123 -7.9771 1.5158 +v 2.4114 -8.0983 1.4715 +v 2.4961 -7.9368 1.3100 +v 2.4298 -7.9046 1.3222 +v 2.3964 -8.0448 1.3928 +v 2.5282 -8.0272 1.3347 +v 2.4256 -8.1367 1.3459 +v 2.4887 -8.1296 1.3297 +v 2.4022 -7.9481 1.3638 +v 2.5179 -7.9753 1.3174 +v 2.4054 -8.1083 1.3703 +v 2.5106 -8.1020 1.3261 +v 2.4902 -7.8953 1.2537 +v 2.4167 -7.8985 1.2728 +v 2.3855 -8.0195 1.3897 +v 2.5263 -8.0292 1.3086 +v 2.3935 -8.1519 1.3071 +v 2.4912 -8.1388 1.2557 +v 2.3997 -7.9234 1.3378 +v 2.5193 -7.9376 1.2699 +v 2.3831 -8.0863 1.3564 +v 2.5125 -8.1201 1.2832 +v 2.5526 -7.9770 1.3181 +v 2.6632 -7.9821 1.2654 +v 2.5698 -8.1061 1.2988 +v 2.6600 -8.0830 1.2684 +v 2.5766 -7.9234 1.2980 +v 2.6371 -7.9360 1.2726 +v 2.5490 -8.0411 1.3279 +v 2.6729 -8.0398 1.2660 +v 2.5486 -7.9746 1.2986 +v 2.6719 -7.9823 1.2221 +v 2.5571 -8.1138 1.2819 +v 2.6507 -8.1085 1.2323 +v 2.5699 -7.9185 1.2738 +v 2.6487 -7.9324 1.2321 +v 2.5398 -8.0381 1.3111 +v 2.6815 -8.0544 1.2223 +v 2.5436 -7.9373 1.2584 +v 2.6942 -7.9876 1.1593 +v 2.5410 -8.1232 1.2705 +v 2.6370 -8.1250 1.1728 +v 2.5655 -7.9097 1.2172 +v 2.6622 -7.9290 1.1625 +v 2.5342 -8.0291 1.3057 +v 2.6921 -8.0598 1.1552 +v 2.3165 -7.9240 1.6776 +v 1.9625 -8.0230 1.9074 +v 1.9625 -8.0646 1.8934 +v 1.9553 -8.1305 1.8360 +v 1.9407 -8.1440 1.7730 +v 1.9227 -8.1516 1.6508 +v 1.9141 -8.1535 1.6090 +v 1.9107 -8.1389 1.5800 +v 1.9050 -8.1254 1.5533 +v 1.8876 -8.1268 1.4231 +v 1.8866 -8.1389 1.3696 +v 1.9015 -8.1516 1.3181 +v 1.9272 -7.8717 1.6184 +v 1.9320 -7.8766 1.6422 +v 1.9366 -7.8986 1.6869 +v 1.9615 -8.0070 1.8995 +v 1.9421 -7.9220 1.7268 +v 1.9394 -7.9067 1.7037 +v 1.9423 -7.9339 1.7340 +v 1.9569 -7.9943 1.8855 +v 1.9445 -7.9459 1.7464 +v 1.9527 -7.9590 1.7952 +v 1.9557 -7.9816 1.8747 +v 1.9091 -7.7643 1.2985 +v 1.9079 -7.8146 1.4226 +v 1.9250 -7.8557 1.5609 +v 1.9139 -7.8357 1.4811 +v 1.9271 -7.8655 1.5926 +v 1.9908 -7.6341 1.0591 +v 1.9189 -7.6667 1.0476 +v 2.2239 -7.7375 1.0445 +v 2.1680 -7.7090 1.0565 +v 2.4164 -7.7802 0.9912 +v 2.3654 -7.7764 1.0148 +v 2.6459 -7.8729 0.9421 +v 2.5917 -7.8229 0.9570 +v 2.5268 -7.8049 0.9716 +v 2.6910 -7.9688 0.9493 +v 2.6974 -8.0369 0.9389 +v 2.4652 -7.7856 0.9829 +v 2.3186 -7.7698 1.0319 +v 2.2704 -7.7485 1.0360 +v 2.1139 -7.6891 1.0604 +v 2.0563 -7.6767 1.0593 +v 1.9808 -7.5730 0.9008 +v 1.9267 -7.6257 0.8945 +v 2.2032 -7.6099 0.8578 +v 2.1540 -7.5918 0.8632 +v 2.3860 -7.6540 0.7908 +v 2.3320 -7.6517 0.8189 +v 2.5567 -7.7889 0.6867 +v 2.5376 -7.7422 0.7135 +v 2.4858 -7.6828 0.7410 +v 2.6124 -7.8594 0.6745 +v 2.6491 -7.9615 0.6614 +v 2.4353 -7.6648 0.7669 +v 2.2892 -7.6402 0.8387 +v 2.2515 -7.6294 0.8484 +v 2.0962 -7.5719 0.8701 +v 2.0354 -7.5607 0.8911 +v 2.1875 -7.9970 -0.4949 +v 1.9725 -7.4927 0.6889 +v 1.9269 -7.5515 0.6788 +v 2.1877 -7.4618 0.6804 +v 2.1310 -7.4394 0.6830 +v 2.1933 -8.0729 -0.4506 +v 2.3670 -7.4987 0.5968 +v 2.3261 -7.4927 0.6317 +v 2.5476 -7.7052 0.4285 +v 2.4539 -7.5548 0.4858 +v 2.6076 -7.8495 0.3700 +v 2.4118 -7.5178 0.5467 +v 2.2825 -7.4874 0.6550 +v 2.2374 -7.4818 0.6718 +v 2.0684 -7.4331 0.6832 +v 2.0128 -7.4539 0.6909 +v 1.9487 -7.4536 0.5100 +v 2.1722 -7.3249 0.5414 +v 2.1164 -7.3123 0.5187 +v 2.3644 -7.3667 0.4543 +v 2.3219 -7.3537 0.5078 +v 2.5992 -7.4858 -0.0776 +v 2.5023 -7.3706 -0.1650 +v 2.4890 -7.4180 0.2635 +v 2.5788 -7.7661 0.4010 +v 2.5891 -7.7808 0.1434 +v 2.4283 -7.3780 0.3860 +v 2.2743 -7.3491 0.5263 +v 2.2233 -7.3437 0.5359 +v 2.0524 -7.3172 0.4829 +v 1.9763 -7.3804 0.5070 +v 1.8579 -7.7460 1.0164 +v 1.8138 -7.8303 0.9971 +v 1.8140 -8.0417 0.9861 +v 1.8020 -7.9369 0.9843 +v 1.8737 -7.7002 0.8652 +v 1.8363 -7.7787 0.8455 +v 1.8521 -7.9689 0.7973 +v 1.8228 -7.8871 0.8146 +v 1.8746 -7.6327 0.6620 +v 1.8528 -7.7190 0.6368 +v 1.8901 -7.8879 0.5799 +v 1.8499 -7.8111 0.6092 +v 1.8732 -7.7062 0.4626 +v 1.9092 -7.8741 0.4052 +v 1.8883 -7.7763 0.4387 +v 2.6677 -8.1053 0.9392 +v 2.4672 -8.1236 0.9660 +v 2.5952 -8.1444 0.9429 +v 2.5257 -8.1330 0.9543 +v 2.6501 -8.0419 0.6536 +v 2.4929 -8.1099 0.6523 +v 2.6129 -8.0878 0.6517 +v 2.5627 -8.1179 0.6495 +v 2.6217 -7.9306 0.3453 +v 2.5208 -8.1197 0.3412 +v 2.6112 -8.0032 0.3266 +v 2.6012 -8.0771 0.3081 +v 2.5915 -7.8717 0.1143 +v 2.5430 -8.0960 0.0752 +v 2.5900 -7.9501 0.0940 +v 2.5789 -8.0266 0.0796 +v 1.9462 -8.1227 1.0238 +v 2.0359 -8.1458 1.0385 +v 2.1174 -8.1391 1.0458 +v 2.1953 -8.1292 1.0381 +v 2.2902 -8.1194 1.0259 +v 2.3521 -8.1170 1.0069 +v 2.4116 -8.1184 0.9853 +v 1.8650 -8.0852 1.0063 +v 2.5518 -7.2550 -0.0590 +v 2.0967 -8.0447 0.5098 +v 2.1754 -8.0662 0.4857 +v 2.2541 -8.0853 0.4465 +v 2.3235 -8.1082 0.4136 +v 1.9389 -7.9603 0.5498 +v 1.9933 -8.0353 0.7656 +v 2.0759 -8.0642 0.7627 +v 2.1653 -8.0657 0.7546 +v 2.2357 -8.0750 0.7315 +v 2.3090 -8.0880 0.7090 +v 1.8966 -8.0236 0.7608 +v 2.4419 -8.0954 -0.3583 +v 2.4889 -7.9808 -0.3890 +v 2.5041 -7.8889 -0.3597 +v 2.4641 -8.0505 -0.3825 +v 1.9439 -7.8783 -0.3204 +v 1.9502 -7.9997 -0.3539 +v 1.9739 -8.0805 -0.3130 +v 1.9064 -7.8427 -0.1129 +v 1.8958 -7.9591 -0.1312 +v 1.9294 -8.0249 -0.1119 +v 1.9231 -7.8639 0.0892 +v 1.9292 -7.9623 0.0847 +v 2.0606 -7.9029 -0.4716 +v 2.2902 -8.0592 -0.4482 +v 2.2986 -7.9875 -0.4888 +v 2.3137 -7.8973 -0.4901 +v 2.0787 -8.0794 -0.4088 +v 2.0677 -7.9988 -0.4523 +v 2.4043 -7.9819 -0.4683 +v 2.4218 -7.8918 -0.4499 +v 2.3836 -8.0513 -0.4319 +v 1.9161 -7.7691 0.1000 +v 1.9266 -7.5299 0.5006 +v 1.9006 -7.6121 0.4843 +v 2.3402 -7.5633 -0.4156 +v 2.3325 -7.3341 -0.3762 +v 2.3374 -7.4353 -0.3925 +v 2.3397 -7.6765 -0.4396 +v 2.3309 -7.7878 -0.4649 +v 2.4482 -7.5746 -0.3398 +v 1.9325 -7.0309 0.0941 +v 2.4349 -7.4680 -0.2905 +v 2.4433 -7.6832 -0.3842 +v 2.4361 -7.7869 -0.4128 +v 2.4887 -7.5865 -0.2348 +v 0.1519 -0.4101 0.4262 +v 2.5053 -7.6895 -0.2909 +v 2.5110 -7.7885 -0.3331 +v 1.9129 -7.2489 0.1469 +v 1.9094 -7.6757 0.1190 +v 1.9092 -7.5677 0.1379 +v 1.9020 -7.4593 0.1504 +v 1.8947 -7.3513 0.1555 +v 1.9220 -7.3675 -0.0066 +v 1.9185 -7.7264 -0.0840 +v 1.9079 -7.2543 -0.0020 +v 1.9444 -7.4909 -0.0254 +v 1.9241 -7.6064 -0.0505 +v 1.9877 -7.2750 -0.1590 +v 1.9959 -7.3878 -0.1731 +v 1.9555 -7.7610 -0.2856 +v 1.9708 -7.6357 -0.2429 +v 1.9904 -7.5123 -0.2032 +v 2.1891 -7.4056 -0.3927 +v 2.0630 -7.5271 -0.3315 +v 2.0494 -7.6515 -0.3760 +v 2.0447 -7.7755 -0.4200 +v 2.0706 -7.3977 -0.2948 +v 2.0711 -7.2895 -0.2771 +v 2.1922 -7.3060 -0.3807 +v 2.0140 -7.0442 0.3148 +v 2.4600 -7.0931 -0.1604 +v 2.4271 -7.3595 -0.2668 +v 2.3137 -7.1118 -0.3552 +v 2.0413 -7.0639 -0.2657 +v 1.9714 -7.0507 -0.1632 +v 2.1683 -7.0942 -0.3555 +v 1.9223 -7.0391 -0.0336 +v 2.3950 -7.1079 -0.2711 +v 2.3725 -7.2379 0.3729 +v 2.1539 -7.2058 0.4559 +v 2.1969 -7.5578 -0.4262 +v 2.4944 -7.2583 0.1990 +v 2.5949 -7.4860 0.0731 +v 1.9246 -7.1450 -0.0136 +v 2.1963 -7.2069 -0.3705 +v 2.4989 -7.2531 -0.1654 +v 2.4236 -7.2451 -0.2631 +v 2.3342 -7.2291 -0.3599 +v 2.0707 -7.1818 -0.2692 +v 2.5786 -7.5893 0.0507 +v 2.0481 -7.1735 0.3843 +v 2.1047 -7.1890 0.4233 +v 1.9308 -7.1384 0.1236 +v 2.2077 -7.2221 0.4576 +v 2.2627 -7.2304 0.4430 +v 2.3145 -7.2321 0.4271 +v 1.9908 -7.1635 -0.1574 +v 2.4336 -7.2468 0.3079 +v 2.5244 -7.5288 0.2351 +v 0.0917 -0.4048 0.4388 +v 2.5032 -7.4794 -0.1823 +v 0.2070 -0.5121 0.3923 +v 0.2475 -0.6195 0.3723 +v 0.2955 -0.7557 0.3575 +v 0.3558 -0.9063 0.3416 +v 0.4216 -1.0760 0.3285 +v 0.4887 -1.2869 0.3173 +v 0.5626 -1.5721 0.3026 +v 0.7323 -2.2674 0.3143 +v 0.8347 -2.6515 0.3235 +v 0.9306 -3.0281 0.3391 +v 0.9930 -3.2814 0.3491 +v 1.0181 -3.4494 0.3332 +v 1.0393 -3.6036 0.3149 +v 1.0544 -3.7604 0.2976 +v 1.0986 -3.9261 0.2733 +v 1.1959 -4.1048 0.2385 +v 1.2725 -4.3101 0.1906 +v 1.3081 -4.5455 0.1650 +v 1.3509 -4.7874 0.1358 +v 1.4233 -5.0421 0.1127 +v 1.5226 -5.3152 0.0980 +v 1.6291 -5.6107 0.0832 +v 1.7132 -5.9514 0.0955 +v 2.4399 -6.3693 0.0514 +v 1.8221 -6.4074 0.1145 +v 1.9402 -6.8572 0.1619 +v 2.5170 -8.1002 -0.0961 +v 2.5757 -8.0415 -0.1078 +v 2.6025 -7.9679 -0.1017 +v 2.5857 -7.7831 -0.0298 +v 2.6058 -7.8795 -0.0741 +v 1.9103 -7.8080 0.2691 +v 1.9215 -7.9097 0.2462 +v 1.8933 -7.7231 0.2867 +v 1.8887 -7.6171 0.3073 +v 1.8861 -7.5209 0.3200 +v 1.9101 -7.4356 0.3229 +v 1.9520 -7.2575 0.2902 +v 1.9333 -7.3514 0.3141 +v 1.9485 -7.0280 0.2028 +v 1.9658 -7.1425 0.2441 +v 2.5546 -7.6138 0.2119 +v 2.4301 -8.1051 0.6657 +v 2.3709 -8.1007 0.6852 +v 2.5391 -7.5928 -0.0989 +v 2.5614 -7.7007 0.1790 +v 2.5011 -7.6293 0.4520 +v 2.5718 -7.3787 0.0853 +v 2.5418 -7.6897 -0.1359 +v 2.5548 -7.6962 0.0137 +v 2.5645 -7.7829 -0.1896 +v 2.5714 -7.8883 -0.2315 +v 2.5582 -7.9834 -0.2611 +v 2.5275 -8.0539 -0.2621 +v 2.4784 -8.1050 -0.2436 +v 2.4514 -8.1287 0.3615 +v 2.3882 -8.1200 0.3850 +v 2.4653 -8.1310 0.0925 +v 2.3227 -8.1316 0.1586 +v 1.9501 -7.9637 0.3678 +v 2.3970 -8.1436 0.1142 +v 2.2151 -8.1331 -0.3749 +v 2.0131 -8.1329 -0.2076 +v 1.9812 -8.0285 0.0901 +v 2.2993 -8.1216 -0.3936 +v 2.0912 -8.1399 -0.3310 +v 2.3786 -8.1085 -0.3861 +v 1.9565 -7.9946 0.2240 +v 2.1579 -8.1568 -0.1565 +v 2.0731 -8.1499 -0.1003 +v 1.9715 -8.0913 -0.0706 +v 2.4132 -8.1207 -0.2442 +v 2.2611 -8.1528 -0.2022 +v 2.3318 -8.1436 -0.2224 +v 2.3811 -8.1460 -0.0614 +v 2.4518 -8.1235 -0.0791 +v 2.1278 -8.1241 0.0696 +v 2.2021 -8.1445 0.0189 +v 2.3017 -8.1526 -0.0305 +v 2.0545 -8.0743 0.1272 +v 2.0137 -8.0294 0.2256 +v 2.1519 -7.9278 1.7560 +v 2.1542 -7.9406 1.7803 +v 2.1538 -7.9478 1.7953 +v 2.3115 -8.0837 1.7813 +v 2.3105 -8.1168 1.6955 +v 2.3155 -8.0350 1.8142 +v 2.4634 -8.1164 1.4368 +v 2.4626 -8.1236 1.4694 +v 2.4636 -8.1164 1.5023 +v 2.4532 -7.9818 1.6300 +v 2.1528 -8.1004 1.6737 +v 2.1446 -8.0853 1.5841 +v 2.1448 -8.0866 1.5704 +v 2.1423 -8.0877 1.5499 +v 2.1567 -8.0412 1.9045 +v 2.1509 -8.0980 1.8696 +v 2.1500 -8.1214 1.7437 +v 2.4597 -8.1248 1.5568 +v 2.3119 -7.9362 1.6976 +v 2.3112 -7.9414 1.7099 +v 2.4589 -7.9156 1.4841 +v 2.4620 -7.9033 1.4501 +v 2.4626 -7.9058 1.4155 +v 2.4631 -8.0932 1.6484 +v 2.4598 -8.0306 1.6667 +v 2.3092 -8.0889 1.5241 +v 2.2990 -7.8725 1.3077 +v 2.3092 -7.8859 1.3916 +v 2.3109 -7.8877 1.4238 +v 2.4625 -7.9015 1.3054 +v 2.4516 -7.8820 1.2367 +v 2.4417 -8.1579 1.2510 +v 2.3164 -7.8841 1.5183 +v 2.4554 -7.9543 1.5904 +v 2.4558 -7.9486 1.5802 +v 2.4571 -7.9421 1.5667 +v 2.4671 -7.9110 1.3444 +v 2.4581 -8.0068 1.6674 +v 2.1515 -7.8671 1.5470 +v 2.1548 -7.8597 1.5994 +v 2.1530 -7.8749 1.6594 +v 2.1515 -7.8902 1.6860 +v 2.1564 -7.9545 1.8106 +v 2.1566 -7.9599 1.8160 +v 2.1570 -7.9661 1.8237 +v 2.1578 -7.9733 1.8395 +v 2.5622 -8.1408 1.2005 +v 2.5882 -8.1288 1.2522 +v 2.4617 -8.1180 1.4242 +v 2.3124 -7.9546 1.7291 +v 2.1353 -7.8316 1.3227 +v 2.1412 -7.8619 1.4270 +v 2.1440 -7.8698 1.4725 +v 2.3130 -8.1190 1.6366 +v 2.4571 -7.9945 1.6616 +v 2.4549 -7.9897 1.6529 +v 2.4536 -7.9860 1.6422 +v 2.3173 -7.8842 1.5569 +v 2.3175 -7.8957 1.6087 +v 2.3180 -7.9072 1.6361 +v 2.1576 -7.9830 1.8765 +v 2.1596 -7.9932 1.8956 +v 2.1587 -8.0080 1.8990 +v 2.1574 -8.0182 1.9082 +v 2.1389 -8.0913 1.5366 +v 2.1282 -8.1138 1.4725 +v 2.1262 -8.1295 1.4378 +v 2.1298 -8.1638 1.3089 +v 2.4544 -7.9780 1.6175 +v 2.4551 -7.9694 1.6139 +v 2.4543 -7.9628 1.6062 +v 2.3105 -8.0986 1.5618 +v 2.3108 -8.0946 1.5490 +v 2.3102 -8.0911 1.5354 +v 2.6105 -7.9069 1.2482 +v 2.3145 -7.9738 1.7861 +v 2.3126 -7.9820 1.8145 +v 2.3142 -7.9996 1.8208 +v 2.4557 -7.9311 1.5145 +v 2.6094 -7.9083 1.2833 +v 2.6069 -8.1139 1.2748 +v 2.4628 -8.1185 1.4157 +v 2.4575 -8.1146 1.3679 +v 2.4557 -8.1438 1.3370 +v 2.2834 -8.1538 1.3117 +v 2.3021 -8.1261 1.4186 +v 2.3041 -8.1089 1.4596 +v 2.3146 -7.9755 1.7958 +v 2.3145 -7.9723 1.7565 +v 2.3124 -7.9676 1.7413 +v 2.3124 -7.9639 1.7367 +v 2.5635 -8.0029 1.4768 +v 2.5515 -8.0207 1.5206 +v 2.6423 -8.0125 1.5084 +v 2.6261 -7.9991 1.4708 +v 2.5597 -8.0149 1.5237 +v 2.6354 -8.0065 1.5125 +v 2.6223 -8.0002 1.4755 +v 2.5665 -8.0042 1.4805 +v 2.5280 -8.0460 1.4643 +v 2.6623 -8.0341 1.4552 +v 2.6320 -7.9827 1.4599 +v 2.5640 -7.9830 1.4653 +v 2.5378 -8.0525 1.5000 +v 2.6286 -7.9871 1.4665 +v 2.6549 -8.0326 1.4790 +v 2.5651 -7.9874 1.4728 +v 2.5726 -8.0369 1.5564 +v 2.5784 -8.0245 1.5524 +v 2.5684 -8.1196 1.4378 +v 2.5737 -8.0938 1.5174 +v 2.6422 -8.0822 1.5038 +v 2.6217 -8.0241 1.5482 +v 2.6471 -8.1000 1.4425 +v 2.6255 -8.0378 1.5473 +v 2.5653 -8.0091 1.5255 +v 2.6276 -8.0068 1.5130 +v 2.6182 -8.0022 1.4801 +v 2.5681 -8.0059 1.4840 +v 2.5800 -8.0158 1.5448 +v 2.6167 -8.0157 1.5383 +v 2.6643 -8.0367 1.4417 +v 2.5654 -7.9726 1.4561 +v 2.6342 -7.9771 1.4526 +v 2.5320 -8.0423 1.4433 +v 2.5713 -8.1219 1.4277 +v 2.6488 -8.0993 1.4318 +v 2.5556 -8.0123 1.4978 +v 2.6378 -8.0016 1.4894 +v 2.5602 -8.0095 1.5010 +v 2.6308 -8.0032 1.4932 +v 2.5339 -8.0092 1.4620 +v 2.6515 -8.0031 1.4579 +v 2.6495 -8.0091 1.4722 +v 2.5436 -8.0130 1.4829 +v 2.6255 -8.0031 1.4990 +v 2.5670 -8.0054 1.5040 +v 2.6537 -8.0019 1.4461 +v 2.5345 -8.0057 1.4521 +v 2.6424 -8.0242 1.5257 +v 2.5635 -8.0190 1.5388 +v 2.5395 -8.0794 1.4459 +v 2.6568 -8.0596 1.4915 +v 2.5559 -8.0294 1.5399 +v 2.5481 -8.0704 1.5098 +v 2.6356 -8.0131 1.5277 +v 2.6662 -8.0723 1.4488 +v 2.5703 -8.0125 1.5360 +v 2.6247 -8.0124 1.5265 +v 2.5405 -8.0833 1.4377 +v 2.6666 -8.0711 1.4341 +v 2.6316 -7.9570 1.4241 +v 2.5703 -7.9475 1.4221 +v 2.5393 -8.0328 1.4037 +v 2.6684 -8.0225 1.4059 +v 2.5705 -8.1234 1.3879 +v 2.6426 -8.0926 1.3852 +v 2.5443 -7.9852 1.4109 +v 2.6520 -7.9802 1.4177 +v 2.5460 -8.0789 1.3943 +v 2.6747 -8.0518 1.3984 +v 2.6426 -7.9426 1.4085 +v 2.5655 -7.9378 1.4011 +v 2.5433 -8.0314 1.3788 +v 2.6735 -8.0110 1.3858 +v 2.5706 -8.1134 1.3554 +v 2.6403 -8.0850 1.3554 +v 2.5477 -7.9821 1.3865 +v 2.6564 -7.9750 1.3995 +v 2.5495 -8.0730 1.3686 +v 2.6765 -8.0491 1.3726 +v 2.6445 -7.9415 1.3760 +v 2.5689 -7.9347 1.3692 +v 2.5447 -8.0319 1.3695 +v 2.6781 -8.0132 1.3696 +v 2.5739 -8.1106 1.3482 +v 2.6395 -8.0839 1.3443 +v 2.5498 -7.9740 1.3701 +v 2.6592 -7.9668 1.3760 +v 2.5524 -8.0738 1.3585 +v 2.6774 -8.0502 1.3656 +v 2.6381 -7.9291 1.3444 +v 2.5779 -7.9310 1.3389 +v 2.5465 -8.0329 1.3582 +v 2.6759 -8.0126 1.3433 +v 2.5771 -8.1036 1.3378 +v 2.6405 -8.0820 1.3373 +v 2.5501 -7.9746 1.3539 +v 2.6610 -7.9640 1.3443 +v 2.5562 -8.0757 1.3469 +v 2.6785 -8.0483 1.3471 +v 2.6503 -8.0970 1.4215 +v 2.6683 -8.0663 1.4249 +v 2.6632 -8.0320 1.4307 +v 2.6323 -7.9640 1.4395 +v 2.5732 -8.1230 1.4177 +v 2.5657 -7.9621 1.4419 +v 2.5378 -7.9993 1.4346 +v 2.5356 -8.0410 1.4293 +v 2.6523 -7.9905 1.4338 +v 2.5432 -8.0867 1.4251 +v 2.6129 -8.1213 1.3860 +v 2.6056 -8.1306 1.4123 +v 2.6043 -8.1285 1.4221 +v 2.5914 -8.0033 1.5038 +v 2.6040 -8.1267 1.4291 +v 2.5992 -7.9466 1.4267 +v 2.6041 -7.9426 1.4045 +v 2.6070 -7.9312 1.3711 +v 2.6013 -8.0930 1.5165 +v 2.5977 -8.0437 1.5615 +v 2.5905 -7.9776 1.4678 +v 2.5917 -7.9707 1.4618 +v 2.5937 -7.9726 1.4529 +v 2.6093 -7.9204 1.3412 +v 2.5981 -8.0276 1.5533 +v 2.6066 -8.1128 1.3538 +v 2.5961 -8.0172 1.5434 +v 2.5956 -8.0096 1.5312 +v 2.5953 -8.0065 1.5192 +v 2.5919 -8.0034 1.4814 +v 2.5916 -8.0024 1.4766 +v 2.5903 -8.0009 1.4714 +v 2.5975 -7.9626 1.4401 +v 2.6062 -8.1093 1.3438 +v 2.6027 -8.1081 1.3371 +v 2.6138 -7.8950 1.1723 +v 2.5813 -8.1052 1.3060 +v 2.6009 -8.1070 1.2975 +v 1.7710 -7.9606 1.1328 +v 1.7847 -7.8622 1.1556 +v 2.7019 -8.0513 1.0654 +v 2.7033 -7.9826 1.0673 +v 2.6648 -7.9250 1.0739 +v 1.8274 -7.7807 1.1683 +v 1.9109 -7.7124 1.1982 +v 1.9927 -7.7394 1.1981 +v 2.0687 -7.7674 1.2135 +v 2.1270 -7.7746 1.2097 +v 2.1779 -7.7900 1.2119 +v 2.2385 -7.8122 1.1982 +v 2.2870 -7.8330 1.1769 +v 2.3333 -7.8516 1.1660 +v 2.3938 -7.8432 1.1448 +v 2.4381 -7.8353 1.1243 +v 2.4845 -7.8592 1.1130 +v 2.6489 -8.1132 1.0778 +v 2.5739 -8.1374 1.0933 +v 1.7894 -8.0602 1.1295 +v 1.8341 -8.1104 1.1416 +v 1.9239 -8.1372 1.1709 +v 2.0179 -8.1567 1.1988 +v 2.0920 -8.1476 1.2141 +v 2.5088 -8.1355 1.1151 +v 2.4590 -8.1263 1.1318 +v 2.3945 -8.1491 1.1624 +v 2.3466 -8.1280 1.1764 +v 2.2794 -8.1297 1.1992 +v 2.1534 -8.1571 1.1999 +v 2.5581 -7.8638 1.0969 +v 2.6168 -7.8838 1.0781 +v 2.0300 -8.1131 -0.0239 +v 0.9295 -1.7316 0.9443 +v 0.7741 -1.8171 0.7429 +v 0.6882 -1.8784 0.5241 +v 0.6529 -1.9099 0.3042 +v 0.6527 -1.9151 0.0874 +v 0.7115 -1.8851 -0.1063 +v 0.8093 -1.8250 -0.2887 +v 0.9692 -1.7193 -0.4254 +v 1.1560 -1.6059 -0.5100 +v 1.3770 -1.5032 -0.5154 +v 1.6167 -1.4332 -0.4163 +v 1.7875 -1.3892 -0.2340 +v 1.8854 -1.3846 0.0284 +v 1.9393 -1.3871 0.2742 +v 1.9793 -1.3764 0.5141 +v 1.9684 -1.3794 0.7593 +v 1.8622 -1.4079 0.9667 +v 1.6858 -1.4594 1.1147 +v 1.4136 -1.5387 1.1274 +v 1.1629 -1.6309 1.0822 +v 0.3112 7.3315 1.4040 +v 0.3490 7.3309 1.3983 +v 0.4385 7.2930 1.3556 +v 0.4343 7.3011 1.3614 +v 0.4287 7.3075 1.3664 +v 0.4104 7.3179 1.3778 +v 0.3833 7.3250 1.3900 +v 0.2723 7.3235 1.4007 +v 0.1851 7.2669 1.3746 +v 0.1970 7.2598 1.3673 +v 0.2123 7.2560 1.3723 +v 0.1934 7.2802 1.3747 +v 0.2018 7.2875 1.3795 +v 0.1847 7.2740 1.3768 +v 0.4248 7.2676 1.3613 +v 0.2424 7.2487 1.3858 +v 0.2760 7.2434 1.3936 +v 0.2116 7.2952 1.3827 +v 0.3114 7.2398 1.3999 +v 0.2353 7.3097 1.3898 +v 0.3519 7.2408 1.3967 +v 0.3848 7.2478 1.3835 +v 0.4071 7.2569 1.3739 +v 0.4342 7.2750 1.3509 +v 0.4377 7.2824 1.3492 +v 0.4394 7.2875 1.3509 +v 0.2244 7.2529 1.3785 +v 0.4296 7.2711 1.3557 +v 0.0000 6.5579 1.3906 +v 0.0000 6.5816 1.3921 +v 0.0000 6.5429 1.3770 +v 0.0000 6.6068 1.3845 +v 0.0000 6.5423 1.3585 +v 0.0000 6.6279 1.3600 +v 0.0000 6.5517 1.3355 +v 0.0000 6.6469 1.3311 +v 0.0000 6.5647 1.3088 +v 0.0000 6.6630 1.2962 +v 0.0000 6.5761 1.2747 +v 0.0000 6.6771 1.2542 +v 0.0000 6.5823 1.2288 +v 0.0000 6.6895 1.2056 +v 0.0000 6.5026 0.6290 +v 0.0000 6.5696 0.7504 +v 0.0000 6.6461 0.8628 +v 0.0000 6.6867 0.9868 +v 0.0000 6.7016 1.0781 +v 0.0000 6.7004 1.1526 +v 0.0000 6.5409 1.1217 +v 0.0000 6.5726 1.1775 +v 0.0000 6.4599 1.0628 +v 0.0000 6.2921 0.7908 +v 0.0000 6.3932 0.9374 +v 0.0000 6.3567 0.8593 +v -0.2364 6.4127 0.6914 +v -0.2343 6.4826 0.6470 +v -0.2055 6.5112 0.6423 +v -0.1008 6.5092 0.6337 +v -0.1068 6.3464 0.7411 +v -0.2104 6.3558 0.7376 +v -0.1108 6.4234 0.8148 +v -0.1085 6.5945 0.7438 +v -0.2447 6.5516 0.7572 +v -0.2158 6.5738 0.7489 +v -0.2181 6.4336 0.8040 +v -0.2454 6.4850 0.7851 +v -0.2555 6.5447 0.8902 +v -0.2558 6.6180 0.8791 +v -0.2265 6.6549 0.8654 +v -0.1174 6.6701 0.8615 +v -0.2254 6.4942 0.8984 +v -0.1107 6.7160 0.9902 +v -0.1055 6.7149 1.0825 +v -0.0986 6.7051 1.1565 +v -0.1825 6.5993 1.1859 +v -0.2032 6.6302 1.1873 +v -0.1820 6.6995 1.1737 +v -0.2031 6.6717 1.1825 +v -0.2171 6.7182 1.0086 +v -0.2057 6.7116 1.1011 +v -0.2303 6.6802 1.1060 +v -0.2397 6.6830 1.0053 +v -0.2162 6.5473 1.0263 +v -0.2390 6.6053 1.0141 +v -0.2276 6.6267 1.1111 +v -0.2015 6.5862 1.1129 +v -0.1153 6.4744 0.9056 +v -0.1094 6.5394 1.0242 +v -0.1048 6.5740 1.1073 +v -0.0923 6.5854 1.1745 +v -0.0959 6.6925 1.2121 +v -0.1723 6.6867 1.2281 +v -0.1769 6.5976 1.2414 +v -0.0870 6.5853 1.2311 +v -0.1962 6.6243 1.2418 +v -0.1944 6.6611 1.2367 +v -0.0870 6.6780 1.2562 +v -0.1620 6.6714 1.2700 +v -0.1674 6.5878 1.2813 +v -0.0829 6.5776 1.2753 +v -0.1858 6.6127 1.2803 +v -0.1840 6.6469 1.2762 +v -0.0751 6.6631 1.2973 +v -0.1444 6.6546 1.3052 +v -0.1493 6.5750 1.3123 +v -0.0773 6.5659 1.3096 +v -0.1670 6.5990 1.3109 +v -0.1656 6.6312 1.3085 +v -0.0670 6.6460 1.3302 +v -0.1261 6.6378 1.3366 +v -0.1293 6.5624 1.3382 +v -0.0718 6.5535 1.3383 +v -0.1446 6.5855 1.3378 +v -0.1438 6.6157 1.3373 +v -0.0589 6.6272 1.3584 +v -0.1089 6.6216 1.3646 +v -0.1105 6.5522 1.3598 +v -0.0636 6.5435 1.3590 +v -0.1215 6.5735 1.3617 +v -0.1213 6.6013 1.3637 +v -0.0511 6.6080 1.3852 +v -0.0959 6.6083 1.3831 +v -0.0962 6.5480 1.3744 +v -0.0533 6.5432 1.3777 +v -0.0986 6.5642 1.3802 +v -0.0987 6.5896 1.3841 +v -0.0415 6.5842 1.3938 +v -0.0423 6.5573 1.3894 +v -0.0325 6.5431 1.3773 +v -0.0270 6.5576 1.3900 +v -0.0266 6.5829 1.3929 +v -0.0314 6.6074 1.3848 +v -0.0376 6.5429 1.3588 +v -0.0445 6.5653 1.3092 +v -0.0473 6.5768 1.2750 +v -0.0417 6.5526 1.3369 +v -0.0352 6.6276 1.3592 +v -0.0393 6.6464 1.3306 +v -0.0434 6.6630 1.2968 +v -0.0493 6.6775 1.2552 +v -0.0669 6.3142 0.7654 +v -0.0612 6.4009 0.8255 +v -0.0615 6.4426 0.9188 +v -0.0645 6.6581 0.8621 +v -0.0551 6.7027 1.1546 +v -0.0612 6.7013 0.9885 +v -0.0586 6.7083 1.0803 +v -0.0586 6.5586 1.1084 +v -0.0560 6.5015 1.0416 +v -0.0519 6.5841 1.1769 +v -0.0537 6.6910 1.2089 +v -0.0493 6.5838 1.2300 +v -0.0562 6.5059 0.6314 +v -0.0600 6.5821 0.7471 +v 0.2364 6.4127 0.6914 +v 0.2343 6.4826 0.6470 +v 0.2055 6.5112 0.6423 +v 0.1008 6.5092 0.6337 +v 0.1068 6.3464 0.7411 +v 0.2104 6.3558 0.7376 +v 0.1108 6.4234 0.8148 +v 0.1085 6.5945 0.7438 +v 0.2447 6.5516 0.7572 +v 0.2158 6.5738 0.7489 +v 0.2181 6.4336 0.8040 +v 0.2454 6.4850 0.7851 +v 0.2555 6.5447 0.8902 +v 0.2558 6.6180 0.8791 +v 0.2265 6.6549 0.8654 +v 0.1174 6.6701 0.8615 +v 0.2254 6.4942 0.8984 +v 0.1107 6.7160 0.9902 +v 0.1055 6.7149 1.0825 +v 0.0986 6.7051 1.1565 +v 0.1825 6.5993 1.1859 +v 0.2032 6.6302 1.1873 +v 0.1820 6.6995 1.1737 +v 0.2031 6.6717 1.1825 +v 0.2171 6.7182 1.0086 +v 0.2057 6.7116 1.1011 +v 0.2303 6.6802 1.1060 +v 0.2397 6.6830 1.0053 +v 0.2162 6.5473 1.0263 +v 0.2390 6.6053 1.0141 +v 0.2276 6.6267 1.1111 +v 0.2015 6.5862 1.1129 +v 0.1153 6.4744 0.9056 +v 0.1094 6.5394 1.0242 +v 0.1048 6.5740 1.1073 +v 0.0923 6.5854 1.1745 +v 0.0959 6.6925 1.2121 +v 0.1723 6.6867 1.2281 +v 0.1769 6.5976 1.2414 +v 0.0870 6.5853 1.2311 +v 0.1962 6.6243 1.2418 +v 0.1944 6.6611 1.2367 +v 0.0870 6.6780 1.2562 +v 0.1620 6.6714 1.2700 +v 0.1674 6.5878 1.2813 +v 0.0829 6.5776 1.2753 +v 0.1858 6.6127 1.2803 +v 0.1840 6.6469 1.2762 +v 0.0751 6.6631 1.2973 +v 0.1444 6.6546 1.3052 +v 0.1493 6.5750 1.3123 +v 0.0773 6.5659 1.3096 +v 0.1670 6.5990 1.3109 +v 0.1656 6.6312 1.3085 +v 0.0670 6.6460 1.3302 +v 0.1261 6.6378 1.3366 +v 0.1293 6.5624 1.3382 +v 0.0718 6.5535 1.3383 +v 0.1446 6.5855 1.3378 +v 0.1438 6.6157 1.3373 +v 0.0589 6.6272 1.3584 +v 0.1089 6.6216 1.3646 +v 0.1105 6.5522 1.3598 +v 0.0636 6.5435 1.3590 +v 0.1215 6.5735 1.3617 +v 0.1213 6.6013 1.3637 +v 0.0511 6.6080 1.3852 +v 0.0959 6.6083 1.3831 +v 0.0962 6.5480 1.3744 +v 0.0533 6.5432 1.3777 +v 0.0986 6.5642 1.3802 +v 0.0987 6.5896 1.3841 +v 0.0415 6.5842 1.3938 +v 0.0423 6.5573 1.3894 +v 0.0325 6.5431 1.3773 +v 0.0270 6.5576 1.3900 +v 0.0266 6.5829 1.3929 +v 0.0314 6.6074 1.3848 +v 0.0376 6.5429 1.3588 +v 0.0445 6.5653 1.3092 +v 0.0473 6.5768 1.2750 +v 0.0417 6.5526 1.3369 +v 0.0352 6.6276 1.3592 +v 0.0393 6.6464 1.3306 +v 0.0434 6.6630 1.2968 +v 0.0493 6.6775 1.2552 +v 0.0669 6.3142 0.7654 +v 0.0612 6.4009 0.8255 +v 0.0615 6.4426 0.9188 +v 0.0645 6.6581 0.8621 +v 0.0551 6.7027 1.1546 +v 0.0612 6.7013 0.9885 +v 0.0586 6.7083 1.0803 +v 0.0586 6.5586 1.1084 +v 0.0560 6.5015 1.0416 +v 0.0519 6.5841 1.1769 +v 0.0537 6.6910 1.2089 +v 0.0493 6.5838 1.2300 +v 0.0562 6.5059 0.6314 +v 0.0600 6.5821 0.7471 +v 0.2705 7.2469 1.2826 +v 0.2705 7.2469 1.2081 +v 0.3450 7.2469 1.2081 +v 0.3450 7.2469 1.2826 +v 0.2705 7.3214 1.2826 +v 0.2705 7.3214 1.2081 +v 0.3450 7.3214 1.2081 +v 0.3450 7.3214 1.2826 +v -0.2705 7.2469 1.2826 +v -0.2705 7.2469 1.2081 +v -0.3450 7.2469 1.2081 +v -0.3450 7.2469 1.2826 +v -0.2705 7.3214 1.2826 +v -0.2705 7.3214 1.2081 +v -0.3450 7.3214 1.2081 +v -0.3450 7.3214 1.2826 +v -0.0372 0.6896 0.1817 +v -0.0372 0.6896 0.1073 +v 0.0372 0.6896 0.1073 +v 0.0372 0.6896 0.1817 +v -0.0372 0.7641 0.1817 +v -0.0372 0.7641 0.1073 +v 0.0372 0.7641 0.1073 +v 0.0372 0.7641 0.1817 +v -0.0372 1.1496 -0.0590 +v -0.0372 1.1496 -0.1335 +v 0.0372 1.1496 -0.1335 +v 0.0372 1.1496 -0.0590 +v -0.0372 1.2241 -0.0590 +v -0.0372 1.2241 -0.1335 +v 0.0372 1.2241 -0.1335 +v 0.0372 1.2241 -0.0590 +v -0.0372 1.8294 0.1858 +v -0.0372 1.8294 0.1113 +v 0.0372 1.8294 0.1113 +v 0.0372 1.8294 0.1858 +v -0.0372 1.9039 0.1858 +v -0.0372 1.9039 0.1113 +v 0.0372 1.9039 0.1113 +v 0.0372 1.9039 0.1858 +v -0.0372 2.7594 0.2967 +v -0.0372 2.7594 0.2222 +v 0.0372 2.7594 0.2222 +v 0.0372 2.7594 0.2967 +v -0.0372 2.8339 0.2967 +v -0.0372 2.8339 0.2222 +v 0.0372 2.8339 0.2222 +v 0.0372 2.8339 0.2967 +v -0.0372 4.2913 -0.0340 +v -0.0372 4.2913 -0.1085 +v 0.0372 4.2913 -0.1085 +v 0.0372 4.2913 -0.0340 +v -0.0372 4.3658 -0.0340 +v -0.0372 4.3658 -0.1085 +v 0.0372 4.3658 -0.1085 +v 0.0372 4.3658 -0.0340 +v 2.1612 -8.0635 2.0682 +v 2.1612 -8.0635 1.9937 +v 2.2357 -8.0632 1.9937 +v 2.2357 -8.0632 2.0682 +v 2.1610 -7.9890 2.0682 +v 2.1610 -7.9890 1.9937 +v 2.2355 -7.9887 1.9937 +v 2.2355 -7.9887 2.0682 +v 2.1615 -8.1389 1.2457 +v 2.1615 -8.1389 1.1712 +v 2.2360 -8.1386 1.1712 +v 2.2360 -8.1386 1.2457 +v 2.1612 -8.0644 1.2457 +v 2.1612 -8.0644 1.1712 +v 2.2357 -8.0641 1.1712 +v 2.2357 -8.0641 1.2457 +v 2.5577 -8.0388 1.4691 +v 2.5577 -8.0388 1.3946 +v 2.6322 -8.0386 1.3946 +v 2.6322 -8.0386 1.4691 +v 2.5575 -7.9644 1.4691 +v 2.5575 -7.9644 1.3946 +v 2.6320 -7.9641 1.3946 +v 2.6320 -7.9641 1.4691 +v 2.5583 -8.0388 1.5822 +v 2.5583 -8.0388 1.5077 +v 2.6328 -8.0386 1.5077 +v 2.6328 -8.0386 1.5822 +v 2.5581 -7.9643 1.5822 +v 2.5581 -7.9643 1.5077 +v 2.6326 -7.9641 1.5077 +v 2.6326 -7.9641 1.5822 +v 2.4174 -8.0394 1.5904 +v 2.4174 -8.0394 1.5159 +v 2.4919 -8.0391 1.5159 +v 2.4919 -8.0391 1.5904 +v 2.4172 -7.9649 1.5904 +v 2.4172 -7.9649 1.5159 +v 2.4917 -7.9646 1.5159 +v 2.4917 -7.9646 1.5904 +v 2.4246 -8.0393 1.7028 +v 2.4246 -8.0393 1.6283 +v 2.4992 -8.0391 1.6283 +v 2.4992 -8.0391 1.7028 +v 2.4244 -7.9648 1.7028 +v 2.4244 -7.9648 1.6283 +v 2.4989 -7.9646 1.6283 +v 2.4989 -7.9646 1.7028 +v 2.2751 -8.0399 1.7196 +v 2.2751 -8.0399 1.6451 +v 2.3495 -8.0396 1.6451 +v 2.3495 -8.0396 1.7196 +v 2.2748 -7.9654 1.7196 +v 2.2748 -7.9654 1.6451 +v 2.3493 -7.9651 1.6451 +v 2.3493 -7.9651 1.7196 +v 2.2766 -8.0399 1.8541 +v 2.2766 -8.0399 1.7797 +v 2.3511 -8.0396 1.7797 +v 2.3511 -8.0396 1.8541 +v 2.2763 -7.9654 1.8541 +v 2.2763 -7.9654 1.7797 +v 2.3508 -7.9651 1.7797 +v 2.3508 -7.9651 1.8541 +v 2.1268 -8.0404 1.9539 +v 2.1268 -8.0404 1.8794 +v 2.2012 -8.0402 1.8794 +v 2.2012 -8.0402 1.9539 +v 2.1265 -7.9659 1.9539 +v 2.1265 -7.9659 1.8794 +v 2.2009 -7.9657 1.8794 +v 2.2009 -7.9657 1.9539 +v 2.1167 -8.0405 1.7801 +v 2.1167 -8.0405 1.7056 +v 2.1912 -8.0402 1.7056 +v 2.1912 -8.0402 1.7801 +v 2.1164 -7.9660 1.7801 +v 2.1164 -7.9660 1.7056 +v 2.1909 -7.9657 1.7056 +v 2.1909 -7.9657 1.7801 +v 2.1132 -8.0405 1.6412 +v 2.1132 -8.0405 1.5667 +v 2.1877 -8.0402 1.5667 +v 2.1877 -8.0402 1.6412 +v 2.1129 -7.9660 1.6412 +v 2.1129 -7.9660 1.5667 +v 2.1874 -7.9657 1.5667 +v 2.1874 -7.9657 1.6412 +v 2.2779 -8.0399 1.5930 +v 2.2779 -8.0399 1.5185 +v 2.3524 -8.0396 1.5185 +v 2.3524 -8.0396 1.5930 +v 2.2777 -7.9654 1.5930 +v 2.2777 -7.9654 1.5185 +v 2.3522 -7.9651 1.5185 +v 2.3522 -7.9651 1.5930 +v 2.4283 -8.0393 1.4668 +v 2.4283 -8.0393 1.3923 +v 2.5027 -8.0391 1.3923 +v 2.5027 -8.0391 1.4668 +v 2.4280 -7.9648 1.4668 +v 2.4280 -7.9648 1.3923 +v 2.5025 -7.9646 1.3923 +v 2.5025 -7.9646 1.4668 +v 2.5707 -8.0388 1.3854 +v 2.5707 -8.0388 1.3109 +v 2.6452 -8.0385 1.3109 +v 2.6452 -8.0385 1.3854 +v 2.5705 -7.9643 1.3854 +v 2.5705 -7.9643 1.3109 +v 2.6450 -7.9640 1.3109 +v 2.6450 -7.9640 1.3854 +v 2.5705 -8.0388 1.2680 +v 2.5705 -8.0388 1.1935 +v 2.6450 -8.0385 1.1935 +v 2.6450 -8.0385 1.2680 +v 2.5703 -7.9643 1.2680 +v 2.5703 -7.9643 1.1935 +v 2.6448 -7.9640 1.1935 +v 2.6448 -7.9640 1.2680 +v 2.4249 -8.0393 1.3089 +v 2.4249 -8.0393 1.2344 +v 2.4994 -8.0391 1.2344 +v 2.4994 -8.0391 1.3089 +v 2.4247 -7.9648 1.3089 +v 2.4247 -7.9648 1.2344 +v 2.4992 -7.9646 1.2344 +v 2.4992 -7.9646 1.3089 +v 2.2715 -8.0399 1.3903 +v 2.2715 -8.0399 1.3158 +v 2.3460 -8.0396 1.3158 +v 2.3460 -8.0396 1.3903 +v 2.2712 -7.9654 1.3903 +v 2.2712 -7.9654 1.3158 +v 2.3457 -7.9651 1.3158 +v 2.3457 -7.9651 1.3903 +v 2.0969 -8.0405 1.4217 +v 2.0969 -8.0405 1.3472 +v 2.1713 -8.0403 1.3472 +v 2.1713 -8.0403 1.4217 +v 2.0966 -7.9660 1.4217 +v 2.0966 -7.9660 1.3472 +v 2.1711 -7.9658 1.3472 +v 2.1711 -7.9658 1.4217 +v 1.9189 -8.0412 1.9543 +v 1.9189 -8.0412 1.8798 +v 1.9934 -8.0409 1.8798 +v 1.9934 -8.0409 1.9543 +v 1.9186 -7.9667 1.9543 +v 1.9186 -7.9667 1.8798 +v 1.9931 -7.9664 1.8798 +v 1.9931 -7.9664 1.9543 +v 1.8768 -8.0413 1.6572 +v 1.8768 -8.0413 1.5827 +v 1.9513 -8.0411 1.5827 +v 1.9513 -8.0411 1.6572 +v 1.8765 -7.9668 1.6572 +v 1.8765 -7.9668 1.5827 +v 1.9510 -7.9666 1.5827 +v 1.9510 -7.9666 1.6572 +v 1.8514 -8.0414 1.3930 +v 1.8514 -8.0414 1.3185 +v 1.9259 -8.0412 1.3185 +v 1.9259 -8.0412 1.3930 +v 1.8511 -7.9669 1.3930 +v 1.8511 -7.9669 1.3185 +v 1.9256 -7.9667 1.3185 +v 1.9256 -7.9667 1.3930 +v 2.1591 -7.4852 0.0281 +v 2.1591 -7.4852 -0.0463 +v 2.2336 -7.4849 -0.0463 +v 2.2336 -7.4849 0.0281 +v 2.1588 -7.4108 0.0281 +v 2.1588 -7.4108 -0.0463 +v 2.2333 -7.4105 -0.0463 +v 2.2333 -7.4105 0.0281 +v 1.5509 -3.7379 0.3575 +v 1.5509 -3.7379 0.2830 +v 1.6243 -3.7250 0.2830 +v 1.6243 -3.7250 0.3575 +v 1.5380 -3.6647 0.3575 +v 1.5380 -3.6647 0.2830 +v 1.6114 -3.6517 0.2830 +v 1.6114 -3.6517 0.3575 +v 1.0788 0.4613 0.1478 +v 1.0788 0.4613 0.0981 +v 1.1285 0.4613 0.0981 +v 1.1285 0.4613 0.1478 +v 1.0788 0.5110 0.1478 +v 1.0788 0.5110 0.0981 +v 1.1285 0.5110 0.0981 +v 1.1285 0.5110 0.1478 +v 4.4794 1.6243 3.1744 +v 4.5177 1.5763 3.1322 +v 4.5160 1.5264 3.1875 +v 4.4777 1.5744 3.2297 +v 4.5433 1.6518 3.2011 +v 4.5816 1.6038 3.1590 +v 4.5799 1.5538 3.2142 +v 4.5416 1.6019 3.2564 +v 4.7280 1.3334 3.0064 +v 4.7650 1.2964 2.9534 +v 4.7767 1.2402 3.0008 +v 4.7397 1.2773 3.0538 +v 4.7916 1.3653 3.0285 +v 4.8286 1.3283 2.9756 +v 4.8403 1.2721 3.0230 +v 4.8032 1.3092 3.0760 +v 4.8576 1.2514 2.7146 +v 4.8933 1.2222 2.6561 +v 4.9099 1.1618 2.6964 +v 4.8742 1.1910 2.7549 +v 4.9208 1.2838 2.7370 +v 4.9565 1.2546 2.6785 +v 4.9732 1.1942 2.7188 +v 4.9374 1.2234 2.7773 +v 4.8000 1.3196 2.3564 +v 4.8337 1.2988 2.2933 +v 4.8490 1.2324 2.3234 +v 4.8153 1.2532 2.3865 +v 4.8647 1.3462 2.3821 +v 4.8983 1.3254 2.3190 +v 4.9136 1.2590 2.3491 +v 4.8800 1.2798 2.4122 +v 4.7734 1.4864 2.2834 +v 4.8076 1.4634 2.2213 +v 4.8218 1.3977 2.2535 +v 4.7876 1.4207 2.3155 +v 4.8380 1.5130 2.3092 +v 4.8723 1.4900 2.2471 +v 4.8864 1.4243 2.2793 +v 4.8522 1.4473 2.3413 +v 4.8014 1.4544 2.5893 +v 4.8373 1.4247 2.5312 +v 4.8536 1.3645 2.5720 +v 4.8177 1.3943 2.6302 +v 4.8646 1.4868 2.6118 +v 4.9005 1.4571 2.5536 +v 4.9168 1.3970 2.5945 +v 4.8809 1.4267 2.6526 +v 4.6906 1.5189 2.8476 +v 4.7276 1.4818 2.7946 +v 4.7393 1.4256 2.8421 +v 4.7023 1.4626 2.8950 +v 4.7542 1.5508 2.8697 +v 4.7912 1.5137 2.8167 +v 4.8029 1.4575 2.8642 +v 4.7658 1.4945 2.9172 +v 4.4842 1.7805 3.0021 +v 4.5225 1.7311 2.9617 +v 4.5196 1.6827 3.0182 +v 4.4813 1.7322 3.0586 +v 4.5480 1.8081 3.0289 +v 4.5863 1.7586 2.9885 +v 4.5835 1.7103 3.0449 +v 4.5452 1.7597 3.0854 +v 4.4785 1.9265 2.8348 +v 4.5165 1.8776 2.7936 +v 4.5207 1.8316 2.8520 +v 4.4826 1.8805 2.8932 +v 4.5424 1.9587 2.8556 +v 4.5804 1.9098 2.8143 +v 4.5846 1.8638 2.8728 +v 4.5465 1.9126 2.9140 +v 4.6563 1.7031 2.6825 +v 4.6933 1.6660 2.6295 +v 4.7050 1.6098 2.6770 +v 4.6680 1.6469 2.7299 +v 4.7199 1.7350 2.7046 +v 4.7569 1.6979 2.6516 +v 4.7686 1.6417 2.6991 +v 4.7316 1.6788 2.7521 +v 4.7527 1.6443 2.4628 +v 4.7873 1.6201 2.4014 +v 4.8070 1.5577 2.4370 +v 4.7724 1.5819 2.4984 +v 4.8157 1.6771 2.4853 +v 4.8503 1.6529 2.4239 +v 4.8700 1.5905 2.4596 +v 4.8354 1.6147 2.5210 +v 4.7502 1.6124 2.2230 +v 4.7849 1.5900 2.1612 +v 4.7996 1.5244 2.1932 +v 4.7649 1.5468 2.2551 +v 4.8144 1.6396 2.2492 +v 4.8492 1.6172 2.1873 +v 4.8639 1.5515 2.2194 +v 4.8292 1.5740 2.2813 +v 4.6878 1.7923 2.1294 +v 4.7213 1.7750 2.0651 +v 4.7388 1.7079 2.0922 +v 4.7053 1.7251 2.1565 +v 4.7520 1.8196 2.1555 +v 4.7855 1.8023 2.0912 +v 4.8030 1.7352 2.1183 +v 4.7695 1.7524 2.1826 +v 4.6338 1.8406 2.3126 +v 4.6685 1.8137 2.2524 +v 4.7022 1.7625 2.2947 +v 4.6675 1.7894 2.3549 +v 4.6906 1.8875 2.3242 +v 4.7252 1.8606 2.2640 +v 4.7589 1.8093 2.3064 +v 4.7242 1.8363 2.3665 +v 4.5473 1.9068 2.4753 +v 4.5836 1.8702 2.4215 +v 4.6097 1.8220 2.4720 +v 4.5734 1.8586 2.5258 +v 4.6069 1.9503 2.4860 +v 4.6432 1.9137 2.4322 +v 4.6693 1.8655 2.4826 +v 4.6330 1.9021 2.5364 +v 4.4373 2.0536 2.6292 +v 4.4752 2.0037 2.5891 +v 4.4918 1.9663 2.6513 +v 4.4540 2.0162 2.6914 +v 4.4992 2.0943 2.6370 +v 4.5371 2.0443 2.5969 +v 4.5538 2.0070 2.6591 +v 4.5159 2.0569 2.6993 +v 3.8746 2.0369 2.8439 +v 3.9131 1.9802 2.8148 +v 3.8972 1.9387 2.8746 +v 3.8587 1.9954 2.9037 +v 3.9364 2.0616 2.8776 +v 3.9749 2.0048 2.8484 +v 3.9589 1.9633 2.9082 +v 3.9204 2.0200 2.9373 +v 3.9434 2.1455 2.6471 +v 3.9807 2.0860 2.6223 +v 3.9625 2.0488 2.6841 +v 3.9251 2.1084 2.7089 +v 4.0052 2.1705 2.6803 +v 4.0425 2.1109 2.6555 +v 4.0243 2.0738 2.7174 +v 3.9870 2.1333 2.7421 +v 4.0577 2.2900 2.3332 +v 4.0932 2.2269 2.3156 +v 4.0705 2.1963 2.3797 +v 4.0350 2.2593 2.3973 +v 4.1191 2.3151 2.3670 +v 4.1546 2.2520 2.3494 +v 4.1320 2.2214 2.4134 +v 4.0965 2.2845 2.4310 +v 4.1414 2.3403 2.1247 +v 4.1786 2.3030 2.0721 +v 4.1845 2.2444 2.1177 +v 4.1473 2.2817 2.1704 +v 4.2056 2.3673 2.1511 +v 4.2429 2.3300 2.0984 +v 4.2488 2.2714 2.1440 +v 4.2115 2.3087 2.1967 +v 4.2374 2.2607 1.9589 +v 4.2747 2.2234 1.9063 +v 4.2806 2.1648 1.9519 +v 4.2434 2.2021 2.0046 +v 4.3017 2.2877 1.9853 +v 4.3389 2.2504 1.9326 +v 4.3449 2.1918 1.9783 +v 4.3076 2.2291 2.0309 +v 4.3433 2.1084 1.8657 +v 4.3805 2.0711 1.8131 +v 4.3865 2.0125 1.8587 +v 4.3492 2.0498 1.9114 +v 4.4075 2.1354 1.8921 +v 4.4448 2.0981 1.8394 +v 4.4507 2.0396 1.8851 +v 4.4134 2.0768 1.9377 +v 4.2483 2.4627 1.7565 +v 4.2855 2.4255 1.7039 +v 4.3228 2.3882 1.7566 +v 4.2855 2.4255 1.8092 +v 4.3009 2.5154 1.7565 +v 4.3382 2.4781 1.7039 +v 4.3754 2.4409 1.7566 +v 4.3382 2.4782 1.8092 +v 3.0682 3.5018 0.1345 +v 3.0985 3.4714 0.0708 +v 3.1431 3.4268 0.1067 +v 3.1118 3.4582 0.1667 +v 3.1161 3.5590 0.1635 +v 3.1446 3.5305 0.0953 +v 3.1910 3.4842 0.1274 +v 3.1616 3.5136 0.1912 +v 1.6245 5.2458 0.1833 +v 1.6245 5.2458 0.1088 +v 1.6771 5.1931 0.1088 +v 1.6771 5.1931 0.1833 +v 1.6771 5.2985 0.1833 +v 1.6771 5.2985 0.1088 +v 1.7298 5.2458 0.1088 +v 1.7298 5.2458 0.1833 +v 0.2283 5.1541 0.7315 +v 0.2283 5.1541 0.6570 +v 0.3028 5.1541 0.6570 +v 0.3028 5.1541 0.7315 +v 0.2283 5.2286 0.7315 +v 0.2283 5.2286 0.6570 +v 0.3028 5.2286 0.6570 +v 0.3028 5.2286 0.7315 +v 1.1461 5.4852 0.5447 +v 1.1461 5.4852 0.4702 +v 1.2206 5.4852 0.4702 +v 1.2206 5.4852 0.5447 +v 1.1461 5.5597 0.5447 +v 1.1461 5.5597 0.4702 +v 1.2206 5.5597 0.4702 +v 1.2206 5.5597 0.5447 +v -0.0372 6.9377 0.1980 +v -0.0372 6.9377 0.1235 +v 0.0372 6.9377 0.1235 +v 0.0372 6.9377 0.1980 +v -0.0372 7.0122 0.1980 +v -0.0372 7.0122 0.1235 +v 0.0372 7.0122 0.1235 +v 0.0372 7.0122 0.1980 +v 0.2803 7.1448 1.6395 +v 0.2803 7.1448 1.5650 +v 0.3548 7.1448 1.5650 +v 0.3548 7.1448 1.6395 +v 0.2803 7.2193 1.6395 +v 0.2803 7.2193 1.5650 +v 0.3548 7.2193 1.5650 +v 0.3548 7.2193 1.6395 +v 0.2801 7.2577 1.6554 +v 0.2801 7.2577 1.5809 +v 0.3546 7.2577 1.5809 +v 0.3546 7.2577 1.6554 +v 0.2801 7.3322 1.6554 +v 0.2801 7.3322 1.5809 +v 0.3546 7.3322 1.5809 +v 0.3546 7.3322 1.6554 +v 0.2790 7.3703 1.6269 +v 0.2790 7.3703 1.5524 +v 0.3535 7.3703 1.5524 +v 0.3535 7.3703 1.6269 +v 0.2790 7.4448 1.6269 +v 0.2790 7.4448 1.5524 +v 0.3535 7.4448 1.5524 +v 0.3535 7.4448 1.6269 +v -2.1612 -8.0635 2.0682 +v -2.1612 -8.0635 1.9937 +v -2.2357 -8.0632 1.9937 +v -2.2357 -8.0632 2.0682 +v -2.1610 -7.9890 2.0682 +v -2.1610 -7.9890 1.9937 +v -2.2355 -7.9887 1.9937 +v -2.2355 -7.9887 2.0682 +v -2.1615 -8.1389 1.2457 +v -2.1615 -8.1389 1.1712 +v -2.2360 -8.1386 1.1712 +v -2.2360 -8.1386 1.2457 +v -2.1612 -8.0644 1.2457 +v -2.1612 -8.0644 1.1712 +v -2.2357 -8.0641 1.1712 +v -2.2357 -8.0641 1.2457 +v -2.5577 -8.0388 1.4691 +v -2.5577 -8.0388 1.3946 +v -2.6322 -8.0386 1.3946 +v -2.6322 -8.0386 1.4691 +v -2.5575 -7.9644 1.4691 +v -2.5575 -7.9644 1.3946 +v -2.6320 -7.9641 1.3946 +v -2.6320 -7.9641 1.4691 +v -2.5583 -8.0388 1.5822 +v -2.5583 -8.0388 1.5077 +v -2.6328 -8.0386 1.5077 +v -2.6328 -8.0386 1.5822 +v -2.5581 -7.9643 1.5822 +v -2.5581 -7.9643 1.5077 +v -2.6326 -7.9641 1.5077 +v -2.6326 -7.9641 1.5822 +v -2.4174 -8.0394 1.5904 +v -2.4174 -8.0394 1.5159 +v -2.4919 -8.0391 1.5159 +v -2.4919 -8.0391 1.5904 +v -2.4172 -7.9649 1.5904 +v -2.4172 -7.9649 1.5159 +v -2.4917 -7.9646 1.5159 +v -2.4917 -7.9646 1.5904 +v -2.4246 -8.0393 1.7028 +v -2.4246 -8.0393 1.6283 +v -2.4992 -8.0391 1.6283 +v -2.4992 -8.0391 1.7028 +v -2.4244 -7.9648 1.7028 +v -2.4244 -7.9648 1.6283 +v -2.4989 -7.9646 1.6283 +v -2.4989 -7.9646 1.7028 +v -2.2751 -8.0399 1.7196 +v -2.2751 -8.0399 1.6451 +v -2.3495 -8.0396 1.6451 +v -2.3495 -8.0396 1.7196 +v -2.2748 -7.9654 1.7196 +v -2.2748 -7.9654 1.6451 +v -2.3493 -7.9651 1.6451 +v -2.3493 -7.9651 1.7196 +v -2.2766 -8.0399 1.8541 +v -2.2766 -8.0399 1.7797 +v -2.3511 -8.0396 1.7797 +v -2.3511 -8.0396 1.8541 +v -2.2763 -7.9654 1.8541 +v -2.2763 -7.9654 1.7797 +v -2.3508 -7.9651 1.7797 +v -2.3508 -7.9651 1.8541 +v -2.1268 -8.0404 1.9539 +v -2.1268 -8.0404 1.8794 +v -2.2012 -8.0402 1.8794 +v -2.2012 -8.0402 1.9539 +v -2.1265 -7.9659 1.9539 +v -2.1265 -7.9659 1.8794 +v -2.2009 -7.9657 1.8794 +v -2.2009 -7.9657 1.9539 +v -2.1167 -8.0405 1.7801 +v -2.1167 -8.0405 1.7056 +v -2.1912 -8.0402 1.7056 +v -2.1912 -8.0402 1.7801 +v -2.1164 -7.9660 1.7801 +v -2.1164 -7.9660 1.7056 +v -2.1909 -7.9657 1.7056 +v -2.1909 -7.9657 1.7801 +v -2.1132 -8.0405 1.6412 +v -2.1132 -8.0405 1.5667 +v -2.1877 -8.0402 1.5667 +v -2.1877 -8.0402 1.6412 +v -2.1129 -7.9660 1.6412 +v -2.1129 -7.9660 1.5667 +v -2.1874 -7.9657 1.5667 +v -2.1874 -7.9657 1.6412 +v -2.2779 -8.0399 1.5930 +v -2.2779 -8.0399 1.5185 +v -2.3524 -8.0396 1.5185 +v -2.3524 -8.0396 1.5930 +v -2.2777 -7.9654 1.5930 +v -2.2777 -7.9654 1.5185 +v -2.3522 -7.9651 1.5185 +v -2.3522 -7.9651 1.5930 +v -2.4283 -8.0393 1.4668 +v -2.4283 -8.0393 1.3923 +v -2.5027 -8.0391 1.3923 +v -2.5027 -8.0391 1.4668 +v -2.4280 -7.9648 1.4668 +v -2.4280 -7.9648 1.3923 +v -2.5025 -7.9646 1.3923 +v -2.5025 -7.9646 1.4668 +v -2.5707 -8.0388 1.3854 +v -2.5707 -8.0388 1.3109 +v -2.6452 -8.0385 1.3109 +v -2.6452 -8.0385 1.3854 +v -2.5705 -7.9643 1.3854 +v -2.5705 -7.9643 1.3109 +v -2.6450 -7.9640 1.3109 +v -2.6450 -7.9640 1.3854 +v -2.5705 -8.0388 1.2680 +v -2.5705 -8.0388 1.1935 +v -2.6450 -8.0385 1.1935 +v -2.6450 -8.0385 1.2680 +v -2.5703 -7.9643 1.2680 +v -2.5703 -7.9643 1.1935 +v -2.6448 -7.9640 1.1935 +v -2.6448 -7.9640 1.2680 +v -2.4249 -8.0393 1.3089 +v -2.4249 -8.0393 1.2344 +v -2.4994 -8.0391 1.2344 +v -2.4994 -8.0391 1.3089 +v -2.4247 -7.9648 1.3089 +v -2.4247 -7.9648 1.2344 +v -2.4992 -7.9646 1.2344 +v -2.4992 -7.9646 1.3089 +v -2.2715 -8.0399 1.3903 +v -2.2715 -8.0399 1.3158 +v -2.3460 -8.0396 1.3158 +v -2.3460 -8.0396 1.3903 +v -2.2712 -7.9654 1.3903 +v -2.2712 -7.9654 1.3158 +v -2.3457 -7.9651 1.3158 +v -2.3457 -7.9651 1.3903 +v -2.0969 -8.0405 1.4217 +v -2.0969 -8.0405 1.3472 +v -2.1713 -8.0403 1.3472 +v -2.1713 -8.0403 1.4217 +v -2.0966 -7.9660 1.4217 +v -2.0966 -7.9660 1.3472 +v -2.1711 -7.9658 1.3472 +v -2.1711 -7.9658 1.4217 +v -1.9189 -8.0412 1.9543 +v -1.9189 -8.0412 1.8798 +v -1.9934 -8.0409 1.8798 +v -1.9934 -8.0409 1.9543 +v -1.9186 -7.9667 1.9543 +v -1.9186 -7.9667 1.8798 +v -1.9931 -7.9664 1.8798 +v -1.9931 -7.9664 1.9543 +v -1.8768 -8.0413 1.6572 +v -1.8768 -8.0413 1.5827 +v -1.9513 -8.0411 1.5827 +v -1.9513 -8.0411 1.6572 +v -1.8765 -7.9668 1.6572 +v -1.8765 -7.9668 1.5827 +v -1.9510 -7.9666 1.5827 +v -1.9510 -7.9666 1.6572 +v -1.8514 -8.0414 1.3930 +v -1.8514 -8.0414 1.3185 +v -1.9259 -8.0412 1.3185 +v -1.9259 -8.0412 1.3930 +v -1.8511 -7.9669 1.3930 +v -1.8511 -7.9669 1.3185 +v -1.9256 -7.9667 1.3185 +v -1.9256 -7.9667 1.3930 +v -2.1591 -7.4852 0.0281 +v -2.1591 -7.4852 -0.0463 +v -2.2336 -7.4849 -0.0463 +v -2.2336 -7.4849 0.0281 +v -2.1588 -7.4108 0.0281 +v -2.1588 -7.4108 -0.0463 +v -2.2333 -7.4105 -0.0463 +v -2.2333 -7.4105 0.0281 +v -1.5509 -3.7379 0.3575 +v -1.5509 -3.7379 0.2830 +v -1.6243 -3.7250 0.2830 +v -1.6243 -3.7250 0.3575 +v -1.5380 -3.6647 0.3575 +v -1.5380 -3.6647 0.2830 +v -1.6114 -3.6517 0.2830 +v -1.6114 -3.6517 0.3575 +v -1.0788 0.4613 0.1478 +v -1.0788 0.4613 0.0981 +v -1.1285 0.4613 0.0981 +v -1.1285 0.4613 0.1478 +v -1.0788 0.5110 0.1478 +v -1.0788 0.5110 0.0981 +v -1.1285 0.5110 0.0981 +v -1.1285 0.5110 0.1478 +v -4.4794 1.6243 3.1744 +v -4.5177 1.5763 3.1322 +v -4.5160 1.5264 3.1875 +v -4.4777 1.5744 3.2297 +v -4.5433 1.6518 3.2011 +v -4.5816 1.6038 3.1590 +v -4.5799 1.5538 3.2142 +v -4.5416 1.6019 3.2564 +v -4.7280 1.3334 3.0064 +v -4.7650 1.2964 2.9534 +v -4.7767 1.2402 3.0008 +v -4.7397 1.2773 3.0538 +v -4.7916 1.3653 3.0285 +v -4.8286 1.3283 2.9756 +v -4.8403 1.2721 3.0230 +v -4.8032 1.3092 3.0760 +v -4.8576 1.2514 2.7146 +v -4.8933 1.2222 2.6561 +v -4.9099 1.1618 2.6964 +v -4.8742 1.1910 2.7549 +v -4.9208 1.2838 2.7370 +v -4.9565 1.2546 2.6785 +v -4.9732 1.1942 2.7188 +v -4.9374 1.2234 2.7773 +v -4.8000 1.3196 2.3564 +v -4.8337 1.2988 2.2933 +v -4.8490 1.2324 2.3234 +v -4.8153 1.2532 2.3865 +v -4.8647 1.3462 2.3821 +v -4.8983 1.3254 2.3190 +v -4.9136 1.2590 2.3491 +v -4.8800 1.2798 2.4122 +v -4.7734 1.4864 2.2834 +v -4.8076 1.4634 2.2213 +v -4.8218 1.3977 2.2535 +v -4.7876 1.4207 2.3155 +v -4.8380 1.5130 2.3092 +v -4.8723 1.4900 2.2471 +v -4.8864 1.4243 2.2793 +v -4.8522 1.4473 2.3413 +v -4.8014 1.4544 2.5893 +v -4.8373 1.4247 2.5312 +v -4.8536 1.3645 2.5720 +v -4.8177 1.3943 2.6302 +v -4.8646 1.4868 2.6118 +v -4.9005 1.4571 2.5536 +v -4.9168 1.3970 2.5945 +v -4.8809 1.4267 2.6526 +v -4.6906 1.5189 2.8476 +v -4.7276 1.4818 2.7946 +v -4.7393 1.4256 2.8421 +v -4.7023 1.4626 2.8950 +v -4.7542 1.5508 2.8697 +v -4.7912 1.5137 2.8167 +v -4.8029 1.4575 2.8642 +v -4.7658 1.4945 2.9172 +v -4.4842 1.7805 3.0021 +v -4.5225 1.7311 2.9617 +v -4.5196 1.6827 3.0182 +v -4.4813 1.7322 3.0586 +v -4.5480 1.8081 3.0289 +v -4.5863 1.7586 2.9885 +v -4.5835 1.7103 3.0449 +v -4.5452 1.7597 3.0854 +v -4.4785 1.9265 2.8348 +v -4.5165 1.8776 2.7936 +v -4.5207 1.8316 2.8520 +v -4.4826 1.8805 2.8932 +v -4.5424 1.9587 2.8556 +v -4.5804 1.9098 2.8143 +v -4.5846 1.8638 2.8728 +v -4.5465 1.9126 2.9140 +v -4.6563 1.7031 2.6825 +v -4.6933 1.6660 2.6295 +v -4.7050 1.6098 2.6770 +v -4.6680 1.6469 2.7299 +v -4.7199 1.7350 2.7046 +v -4.7569 1.6979 2.6516 +v -4.7686 1.6417 2.6991 +v -4.7316 1.6788 2.7521 +v -4.7527 1.6443 2.4628 +v -4.7873 1.6201 2.4014 +v -4.8070 1.5577 2.4370 +v -4.7724 1.5819 2.4984 +v -4.8157 1.6771 2.4853 +v -4.8503 1.6529 2.4239 +v -4.8700 1.5905 2.4596 +v -4.8354 1.6147 2.5210 +v -4.7502 1.6124 2.2230 +v -4.7849 1.5900 2.1612 +v -4.7996 1.5244 2.1932 +v -4.7649 1.5468 2.2551 +v -4.8144 1.6396 2.2492 +v -4.8492 1.6172 2.1873 +v -4.8639 1.5515 2.2194 +v -4.8292 1.5740 2.2813 +v -4.6878 1.7923 2.1294 +v -4.7213 1.7750 2.0651 +v -4.7388 1.7079 2.0922 +v -4.7053 1.7251 2.1565 +v -4.7520 1.8196 2.1555 +v -4.7855 1.8023 2.0912 +v -4.8030 1.7352 2.1183 +v -4.7695 1.7524 2.1826 +v -4.6338 1.8406 2.3126 +v -4.6685 1.8137 2.2524 +v -4.7022 1.7625 2.2947 +v -4.6675 1.7894 2.3549 +v -4.6906 1.8875 2.3242 +v -4.7252 1.8606 2.2640 +v -4.7589 1.8093 2.3064 +v -4.7242 1.8363 2.3665 +v -4.5473 1.9068 2.4753 +v -4.5836 1.8702 2.4215 +v -4.6097 1.8220 2.4720 +v -4.5734 1.8586 2.5258 +v -4.6069 1.9503 2.4860 +v -4.6432 1.9137 2.4322 +v -4.6693 1.8655 2.4826 +v -4.6330 1.9021 2.5364 +v -4.4373 2.0536 2.6292 +v -4.4752 2.0037 2.5891 +v -4.4918 1.9663 2.6513 +v -4.4540 2.0162 2.6914 +v -4.4992 2.0943 2.6370 +v -4.5371 2.0443 2.5969 +v -4.5538 2.0070 2.6591 +v -4.5159 2.0569 2.6993 +v -3.8746 2.0369 2.8439 +v -3.9131 1.9802 2.8148 +v -3.8972 1.9387 2.8746 +v -3.8587 1.9954 2.9037 +v -3.9364 2.0616 2.8776 +v -3.9749 2.0048 2.8484 +v -3.9589 1.9633 2.9082 +v -3.9204 2.0200 2.9373 +v -3.9434 2.1455 2.6471 +v -3.9807 2.0860 2.6223 +v -3.9625 2.0488 2.6841 +v -3.9251 2.1084 2.7089 +v -4.0052 2.1705 2.6803 +v -4.0425 2.1109 2.6555 +v -4.0243 2.0738 2.7174 +v -3.9870 2.1333 2.7421 +v -4.0577 2.2900 2.3332 +v -4.0932 2.2269 2.3156 +v -4.0705 2.1963 2.3797 +v -4.0350 2.2593 2.3973 +v -4.1191 2.3151 2.3670 +v -4.1546 2.2520 2.3494 +v -4.1320 2.2214 2.4134 +v -4.0965 2.2845 2.4310 +v -4.1414 2.3403 2.1247 +v -4.1786 2.3030 2.0721 +v -4.1845 2.2444 2.1177 +v -4.1473 2.2817 2.1704 +v -4.2056 2.3673 2.1511 +v -4.2429 2.3300 2.0984 +v -4.2488 2.2714 2.1440 +v -4.2115 2.3087 2.1967 +v -4.2374 2.2607 1.9589 +v -4.2747 2.2234 1.9063 +v -4.2806 2.1648 1.9519 +v -4.2434 2.2021 2.0046 +v -4.3017 2.2877 1.9853 +v -4.3389 2.2504 1.9326 +v -4.3449 2.1918 1.9783 +v -4.3076 2.2291 2.0309 +v -4.3433 2.1084 1.8657 +v -4.3805 2.0711 1.8131 +v -4.3865 2.0125 1.8587 +v -4.3492 2.0498 1.9114 +v -4.4075 2.1354 1.8921 +v -4.4448 2.0981 1.8394 +v -4.4507 2.0396 1.8851 +v -4.4134 2.0768 1.9377 +v -4.2483 2.4627 1.7565 +v -4.2855 2.4255 1.7039 +v -4.3228 2.3882 1.7566 +v -4.2855 2.4255 1.8092 +v -4.3009 2.5154 1.7565 +v -4.3382 2.4781 1.7039 +v -4.3754 2.4409 1.7566 +v -4.3382 2.4782 1.8092 +v -3.0682 3.5018 0.1345 +v -3.0985 3.4714 0.0708 +v -3.1431 3.4268 0.1067 +v -3.1118 3.4582 0.1667 +v -3.1161 3.5590 0.1635 +v -3.1446 3.5305 0.0953 +v -3.1910 3.4842 0.1274 +v -3.1616 3.5136 0.1912 +v -1.6245 5.2458 0.1833 +v -1.6245 5.2458 0.1088 +v -1.6771 5.1931 0.1088 +v -1.6771 5.1931 0.1833 +v -1.6771 5.2985 0.1833 +v -1.6771 5.2985 0.1088 +v -1.7298 5.2458 0.1088 +v -1.7298 5.2458 0.1833 +v -0.2283 5.1541 0.7315 +v -0.2283 5.1541 0.6570 +v -0.3028 5.1541 0.6570 +v -0.3028 5.1541 0.7315 +v -0.2283 5.2286 0.7315 +v -0.2283 5.2286 0.6570 +v -0.3028 5.2286 0.6570 +v -0.3028 5.2286 0.7315 +v -1.1461 5.4852 0.5447 +v -1.1461 5.4852 0.4702 +v -1.2206 5.4852 0.4702 +v -1.2206 5.4852 0.5447 +v -1.1461 5.5597 0.5447 +v -1.1461 5.5597 0.4702 +v -1.2206 5.5597 0.4702 +v -1.2206 5.5597 0.5447 +v -0.2803 7.1448 1.6395 +v -0.2803 7.1448 1.5650 +v -0.3548 7.1448 1.5650 +v -0.3548 7.1448 1.6395 +v -0.2803 7.2193 1.6395 +v -0.2803 7.2193 1.5650 +v -0.3548 7.2193 1.5650 +v -0.3548 7.2193 1.6395 +v -0.2801 7.2577 1.6554 +v -0.2801 7.2577 1.5809 +v -0.3546 7.2577 1.5809 +v -0.3546 7.2577 1.6554 +v -0.2801 7.3322 1.6554 +v -0.2801 7.3322 1.5809 +v -0.3546 7.3322 1.5809 +v -0.3546 7.3322 1.6554 +v -0.2790 7.3703 1.6269 +v -0.2790 7.3703 1.5524 +v -0.3535 7.3703 1.5524 +v -0.3535 7.3703 1.6269 +v -0.2790 7.4448 1.6269 +v -0.2790 7.4448 1.5524 +v -0.3535 7.4448 1.5524 +v -0.3535 7.4448 1.6269 +v -0.0372 5.8530 0.1053 +v -0.0372 5.8530 0.0308 +v 0.0372 5.8530 0.0308 +v 0.0372 5.8530 0.1053 +v -0.0372 5.9275 0.1053 +v -0.0372 5.9275 0.0308 +v 0.0372 5.9275 0.0308 +v 0.0372 5.9275 0.1053 +v -0.0372 6.1535 1.4621 +v -0.0372 6.1535 1.3876 +v 0.0372 6.1535 1.3876 +v 0.0372 6.1535 1.4621 +v -0.0372 6.2280 1.4621 +v -0.0372 6.2280 1.3876 +v 0.0372 6.2280 1.3876 +v 0.0372 6.2280 1.4621 +v -0.0372 6.5132 1.3893 +v -0.0372 6.5132 1.3148 +v 0.0372 6.5132 1.3148 +v 0.0372 6.5132 1.3893 +v -0.0372 6.5877 1.3893 +v -0.0372 6.5877 1.3148 +v 0.0372 6.5877 1.3148 +v 0.0372 6.5877 1.3893 +v -0.0372 6.5911 1.2160 +v -0.0372 6.5911 1.1416 +v 0.0372 6.5911 1.1416 +v 0.0372 6.5911 1.2160 +v -0.0372 6.6656 1.2160 +v -0.0372 6.6656 1.1416 +v 0.0372 6.6656 1.1416 +v 0.0372 6.6656 1.2160 +v -0.0372 8.3671 0.1197 +v -0.0372 8.3671 0.0452 +v 0.0372 8.3671 0.0452 +v 0.0372 8.3671 0.1197 +v -0.0372 8.4416 0.1197 +v -0.0372 8.4416 0.0452 +v 0.0372 8.4416 0.0452 +v 0.0372 8.4416 0.1197 +v -0.0372 6.5765 1.0102 +v -0.0372 6.5765 0.9357 +v 0.0372 6.5765 0.9357 +v 0.0372 6.5765 1.0102 +v -0.0372 6.6510 1.0102 +v -0.0372 6.6510 0.9357 +v 0.0372 6.6510 0.9357 +v 0.0372 6.6510 1.0102 +v -0.0372 6.5155 0.7198 +v -0.0372 6.5155 0.6453 +v 0.0372 6.5155 0.6453 +v 0.0372 6.5155 0.7198 +v -0.0372 6.5900 0.7198 +v -0.0372 6.5900 0.6453 +v 0.0372 6.5900 0.6453 +v 0.0372 6.5900 0.7198 +v -0.0372 6.8475 0.6787 +v -0.0372 6.8475 0.6042 +v 0.0372 6.8475 0.6042 +v 0.0372 6.8475 0.6787 +v -0.0372 6.9220 0.6787 +v -0.0372 6.9220 0.6042 +v 0.0372 6.9220 0.6042 +v 0.0372 6.9220 0.6787 +v 0.2808 7.2953 1.3920 +v 0.2549 7.3060 1.3835 +v 0.2101 7.3246 1.3511 +v 0.1801 7.3370 1.3026 +v 0.1696 7.3414 1.2454 +v 0.1801 7.3370 1.1881 +v 0.2101 7.3246 1.1396 +v 0.2549 7.3060 1.1072 +v 0.2808 7.2953 1.0987 +v 0.2966 7.3111 1.3920 +v 0.2859 7.3370 1.3835 +v 0.2673 7.3818 1.3511 +v 0.2549 7.4118 1.3026 +v 0.2505 7.4223 1.2454 +v 0.2549 7.4118 1.1881 +v 0.2673 7.3818 1.1396 +v 0.2859 7.3370 1.1072 +v 0.2966 7.3111 1.0987 +v 0.3189 7.3111 1.3920 +v 0.3297 7.3370 1.3835 +v 0.3482 7.3818 1.3511 +v 0.3607 7.4118 1.3026 +v 0.3650 7.4223 1.2454 +v 0.3607 7.4118 1.1881 +v 0.3482 7.3818 1.1396 +v 0.3297 7.3370 1.1072 +v 0.3189 7.3111 1.0987 +v 0.3347 7.2953 1.3920 +v 0.3607 7.3060 1.3835 +v 0.4055 7.3246 1.3511 +v 0.4354 7.3370 1.3026 +v 0.4459 7.3414 1.2454 +v 0.4354 7.3370 1.1881 +v 0.4055 7.3246 1.1396 +v 0.3607 7.3060 1.1072 +v 0.3347 7.2953 1.0987 +v 0.3347 7.2730 1.3920 +v 0.3607 7.2622 1.3835 +v 0.4055 7.2437 1.3511 +v 0.4354 7.2313 1.3026 +v 0.4459 7.2269 1.2454 +v 0.4354 7.2313 1.1881 +v 0.4055 7.2437 1.1396 +v 0.3607 7.2622 1.1072 +v 0.3347 7.2730 1.0987 +v 0.3189 7.2572 1.3920 +v 0.3297 7.2313 1.3835 +v 0.3482 7.1864 1.3511 +v 0.3607 7.1565 1.3026 +v 0.3650 7.1460 1.2454 +v 0.3607 7.1565 1.1881 +v 0.3482 7.1864 1.1396 +v 0.3297 7.2313 1.1072 +v 0.3189 7.2572 1.0987 +v 0.2966 7.2572 1.3920 +v 0.2859 7.2313 1.3835 +v 0.2673 7.1864 1.3511 +v 0.2549 7.1565 1.3026 +v 0.2505 7.1460 1.2454 +v 0.2549 7.1565 1.1881 +v 0.2673 7.1864 1.1396 +v 0.2859 7.2313 1.1072 +v 0.2966 7.2572 1.0987 +v 0.2808 7.2730 1.3920 +v 0.2549 7.2622 1.3835 +v 0.2101 7.2437 1.3511 +v 0.1801 7.2313 1.3026 +v 0.1696 7.2269 1.2454 +v 0.1801 7.2313 1.1881 +v 0.2101 7.2437 1.1396 +v 0.2549 7.2622 1.1072 +v 0.2808 7.2730 1.0987 +v -0.2808 7.2953 1.3920 +v -0.2549 7.3060 1.3835 +v -0.2101 7.3246 1.3511 +v -0.1801 7.3370 1.3026 +v -0.1696 7.3414 1.2454 +v -0.1801 7.3370 1.1881 +v -0.2101 7.3246 1.1396 +v -0.2549 7.3060 1.1072 +v -0.2808 7.2953 1.0987 +v -0.2966 7.3111 1.3920 +v -0.2859 7.3370 1.3835 +v -0.2673 7.3818 1.3511 +v -0.2549 7.4118 1.3026 +v -0.2505 7.4223 1.2454 +v -0.2549 7.4118 1.1881 +v -0.2673 7.3818 1.1396 +v -0.2859 7.3370 1.1072 +v -0.2966 7.3111 1.0987 +v -0.3189 7.3111 1.3920 +v -0.3297 7.3370 1.3835 +v -0.3482 7.3818 1.3511 +v -0.3607 7.4118 1.3026 +v -0.3650 7.4223 1.2454 +v -0.3607 7.4118 1.1881 +v -0.3482 7.3818 1.1396 +v -0.3297 7.3370 1.1072 +v -0.3189 7.3111 1.0987 +v -0.3347 7.2953 1.3920 +v -0.3607 7.3060 1.3835 +v -0.4055 7.3246 1.3511 +v -0.4354 7.3370 1.3026 +v -0.4459 7.3414 1.2454 +v -0.4354 7.3370 1.1881 +v -0.4055 7.3246 1.1396 +v -0.3607 7.3060 1.1072 +v -0.3347 7.2953 1.0987 +v -0.3347 7.2730 1.3920 +v -0.3607 7.2622 1.3835 +v -0.4055 7.2437 1.3511 +v -0.4354 7.2313 1.3026 +v -0.4459 7.2269 1.2454 +v -0.4354 7.2313 1.1881 +v -0.4055 7.2437 1.1396 +v -0.3607 7.2622 1.1072 +v -0.3347 7.2730 1.0987 +v -0.3189 7.2572 1.3920 +v -0.3297 7.2313 1.3835 +v -0.3482 7.1864 1.3511 +v -0.3607 7.1565 1.3026 +v -0.3650 7.1460 1.2454 +v -0.3607 7.1565 1.1881 +v -0.3482 7.1864 1.1396 +v -0.3297 7.2313 1.1072 +v -0.3189 7.2572 1.0987 +v -0.2966 7.2572 1.3920 +v -0.2859 7.2313 1.3835 +v -0.2673 7.1864 1.3511 +v -0.2549 7.1565 1.3026 +v -0.2505 7.1460 1.2454 +v -0.2549 7.1565 1.1881 +v -0.2673 7.1864 1.1396 +v -0.2859 7.2313 1.1072 +v -0.2966 7.2572 1.0987 +v -0.2808 7.2730 1.3920 +v -0.2549 7.2622 1.3835 +v -0.2101 7.2437 1.3511 +v -0.1801 7.2313 1.3026 +v -0.1696 7.2269 1.2454 +v -0.1801 7.2313 1.1881 +v -0.2101 7.2437 1.1396 +v -0.2549 7.2622 1.1072 +v -0.2808 7.2730 1.0987 +v 0.3525 7.3292 1.3830 +v 0.3180 7.3296 1.3900 +v 0.3878 7.3220 1.3684 +v 0.4121 7.3136 1.3469 +v 0.4243 7.3062 1.3365 +v 0.4296 7.2985 1.3306 +v 0.4336 7.2929 1.3351 +v 0.4354 7.2879 1.3368 +v 0.1850 7.2810 1.3953 +v 0.4312 7.2750 1.3280 +v 0.4195 7.2672 1.3411 +v 0.4041 7.2588 1.3584 +v 0.3841 7.2515 1.3724 +v 0.3489 7.2433 1.3863 +v 0.3118 7.2420 1.3905 +v 0.2793 7.2442 1.3877 +v 0.2465 7.2495 1.3779 +v 0.2141 7.2595 1.3623 +v 0.2766 7.3228 1.3880 +v 0.2374 7.3094 1.3777 +v 0.2166 7.2934 1.3721 +v 0.1841 7.2785 1.3786 +v 0.2340 7.3158 1.4102 +v 0.1994 7.2652 1.3689 +v 0.2006 7.2858 1.3788 +v 0.2233 7.2515 1.3908 +v 0.4269 7.2720 1.3672 +v 0.1977 7.2854 1.3887 +v 0.1913 7.2572 1.3855 +v 0.2102 7.2998 1.4031 +v 0.1868 7.2797 1.3865 +v 0.2132 7.2947 1.3916 +v 0.2371 7.3088 1.3974 +v 0.2718 7.3215 1.4045 +v 0.2073 7.2557 1.3869 +v 0.2446 7.2468 1.3986 +v 0.2752 7.2427 1.4066 +v 0.3098 7.2384 1.4113 +v 0.3485 7.2397 1.4078 +v 0.3822 7.2464 1.3958 +v 0.4049 7.2576 1.3839 +v 0.4189 7.2652 1.3727 +v 0.4320 7.2751 1.3619 +v 0.1951 7.2878 1.3982 +v 0.4391 7.2877 1.3628 +v 0.4372 7.2938 1.3672 +v 0.4308 7.2997 1.3724 +v 0.4216 7.3074 1.3785 +v 0.4050 7.3144 1.3868 +v 0.3794 7.3216 1.3973 +v 0.4261 7.2708 1.3334 +v 0.2265 7.2544 1.3682 +v 0.3106 7.3287 1.4077 +v 0.3470 7.3272 1.4049 +v 0.2681 7.3309 1.4198 +v 0.4673 7.2873 1.3827 +v 0.4586 7.3023 1.3895 +v 0.4442 7.3134 1.3968 +v 0.4267 7.3227 1.4036 +v 0.4060 7.3303 1.4113 +v 0.3792 7.3365 1.4193 +v 0.3086 7.3402 1.4260 +v 0.3461 7.3408 1.4249 +v 0.1823 7.2862 1.4060 +v 0.2313 7.3279 1.4235 +v 0.2077 7.3109 1.4153 +v 0.1915 7.2958 1.4097 +v 0.2657 7.3450 1.4346 +v 0.5048 7.2964 1.3973 +v 0.4879 7.3191 1.4040 +v 0.4632 7.3370 1.4127 +v 0.4378 7.3492 1.4206 +v 0.4110 7.3576 1.4287 +v 0.3806 7.3620 1.4363 +v 0.3069 7.3577 1.4413 +v 0.3458 7.3624 1.4413 +v 0.2208 7.2367 1.4028 +v 0.4379 7.2590 1.3796 +v 0.1853 7.2505 1.3955 +v 0.2022 7.2428 1.3984 +v 0.2436 7.2321 1.4097 +v 0.2742 7.2272 1.4163 +v 0.3099 7.2244 1.4202 +v 0.3482 7.2254 1.4167 +v 0.3808 7.2310 1.4061 +v 0.4048 7.2392 1.3952 +v 0.4227 7.2482 1.3855 +v 0.4476 7.2679 1.3753 +v 0.2193 7.2222 1.4091 +v 0.4546 7.2358 1.3843 +v 0.1835 7.2426 1.4017 +v 0.1991 7.2323 1.4043 +v 0.2435 7.2147 1.4155 +v 0.2744 7.2075 1.4218 +v 0.3107 7.2038 1.4250 +v 0.3493 7.2029 1.4214 +v 0.3810 7.2053 1.4117 +v 0.4064 7.2112 1.4007 +v 0.4330 7.2206 1.3909 +v 0.4736 7.2571 1.3803 +v 0.2086 7.3059 1.4099 +v 0.2321 7.3225 1.4176 +v 0.4087 7.3453 1.4217 +v 0.4326 7.3373 1.4138 +v 0.3077 7.3503 1.4352 +v 0.4896 7.2924 1.3915 +v 0.3460 7.3528 1.4347 +v 0.3800 7.3506 1.4295 +v 0.4547 7.3266 1.4064 +v 0.4751 7.3117 1.3982 +v 0.1930 7.2919 1.4047 +v 0.1829 7.2833 1.4015 +v 0.2664 7.3389 1.4285 +v 0.2199 7.2283 1.4067 +v 0.2432 7.2223 1.4133 +v 0.3103 7.2128 1.4233 +v 0.2742 7.2159 1.4197 +v 0.3489 7.2128 1.4197 +v 0.2005 7.2365 1.4020 +v 0.1829 7.2465 1.3995 +v 0.4267 7.2334 1.3889 +v 0.4462 7.2464 1.3825 +v 0.4595 7.2627 1.3786 +v 0.4056 7.2237 1.3985 +v 0.3808 7.2166 1.4096 +v -0.3525 7.3292 1.3830 +v -0.3180 7.3296 1.3900 +v -0.3878 7.3220 1.3684 +v -0.4121 7.3136 1.3469 +v -0.4243 7.3062 1.3365 +v -0.4296 7.2985 1.3306 +v -0.4336 7.2929 1.3351 +v -0.4354 7.2879 1.3368 +v -0.1850 7.2810 1.3953 +v -0.4312 7.2750 1.3280 +v -0.4195 7.2672 1.3411 +v -0.4041 7.2588 1.3584 +v -0.3841 7.2515 1.3724 +v -0.3489 7.2433 1.3863 +v -0.3118 7.2420 1.3905 +v -0.2793 7.2442 1.3877 +v -0.2465 7.2495 1.3779 +v -0.2141 7.2595 1.3623 +v -0.2766 7.3228 1.3880 +v -0.2374 7.3094 1.3777 +v -0.2166 7.2934 1.3721 +v -0.1841 7.2785 1.3786 +v -0.2340 7.3158 1.4102 +v -0.1994 7.2652 1.3689 +v -0.2006 7.2858 1.3788 +v -0.2233 7.2515 1.3908 +v -0.4269 7.2720 1.3672 +v -0.1977 7.2854 1.3887 +v -0.1913 7.2572 1.3855 +v -0.2102 7.2998 1.4031 +v -0.1868 7.2797 1.3865 +v -0.2132 7.2947 1.3916 +v -0.2371 7.3088 1.3974 +v -0.2718 7.3215 1.4045 +v -0.2073 7.2557 1.3869 +v -0.2446 7.2468 1.3986 +v -0.2752 7.2427 1.4066 +v -0.3098 7.2384 1.4113 +v -0.3485 7.2397 1.4078 +v -0.3822 7.2464 1.3958 +v -0.4049 7.2576 1.3839 +v -0.4189 7.2652 1.3727 +v -0.4320 7.2751 1.3619 +v -0.1951 7.2878 1.3982 +v -0.4391 7.2877 1.3628 +v -0.4372 7.2938 1.3672 +v -0.4308 7.2997 1.3724 +v -0.4216 7.3074 1.3785 +v -0.4050 7.3144 1.3868 +v -0.3794 7.3216 1.3973 +v -0.4261 7.2708 1.3334 +v -0.2265 7.2544 1.3682 +v -0.3106 7.3287 1.4077 +v -0.3470 7.3272 1.4049 +v -0.2681 7.3309 1.4198 +v -0.4673 7.2873 1.3827 +v -0.4586 7.3023 1.3895 +v -0.4442 7.3134 1.3968 +v -0.4267 7.3227 1.4036 +v -0.4060 7.3303 1.4113 +v -0.3792 7.3365 1.4193 +v -0.3086 7.3402 1.4260 +v -0.3461 7.3408 1.4249 +v -0.1823 7.2862 1.4060 +v -0.2313 7.3279 1.4235 +v -0.2077 7.3109 1.4153 +v -0.1915 7.2958 1.4097 +v -0.2657 7.3450 1.4346 +v -0.5048 7.2964 1.3973 +v -0.4879 7.3191 1.4040 +v -0.4632 7.3370 1.4127 +v -0.4378 7.3492 1.4206 +v -0.4110 7.3576 1.4287 +v -0.3806 7.3620 1.4363 +v -0.3069 7.3577 1.4413 +v -0.3458 7.3624 1.4413 +v -0.2208 7.2367 1.4028 +v -0.4379 7.2590 1.3796 +v -0.1853 7.2505 1.3955 +v -0.2022 7.2428 1.3984 +v -0.2436 7.2321 1.4097 +v -0.2742 7.2272 1.4163 +v -0.3099 7.2244 1.4202 +v -0.3482 7.2254 1.4167 +v -0.3808 7.2310 1.4061 +v -0.4048 7.2392 1.3952 +v -0.4227 7.2482 1.3855 +v -0.4476 7.2679 1.3753 +v -0.2193 7.2222 1.4091 +v -0.4546 7.2358 1.3843 +v -0.1835 7.2426 1.4017 +v -0.1991 7.2323 1.4043 +v -0.2435 7.2147 1.4155 +v -0.2744 7.2075 1.4218 +v -0.3107 7.2038 1.4250 +v -0.3493 7.2029 1.4214 +v -0.3810 7.2053 1.4117 +v -0.4064 7.2112 1.4007 +v -0.4330 7.2206 1.3909 +v -0.4736 7.2571 1.3803 +v -0.2086 7.3059 1.4099 +v -0.2321 7.3225 1.4176 +v -0.4087 7.3453 1.4217 +v -0.4326 7.3373 1.4138 +v -0.3077 7.3503 1.4352 +v -0.4896 7.2924 1.3915 +v -0.3460 7.3528 1.4347 +v -0.3800 7.3506 1.4295 +v -0.4547 7.3266 1.4064 +v -0.4751 7.3117 1.3982 +v -0.1930 7.2919 1.4047 +v -0.1829 7.2833 1.4015 +v -0.2664 7.3389 1.4285 +v -0.2199 7.2283 1.4067 +v -0.2432 7.2223 1.4133 +v -0.3103 7.2128 1.4233 +v -0.2742 7.2159 1.4197 +v -0.3489 7.2128 1.4197 +v -0.2005 7.2365 1.4020 +v -0.1829 7.2465 1.3995 +v -0.4267 7.2334 1.3889 +v -0.4462 7.2464 1.3825 +v -0.4595 7.2627 1.3786 +v -0.4056 7.2237 1.3985 +v -0.3808 7.2166 1.4096 +v 0.0969 6.4284 1.4242 +v 0.0000 6.4192 1.4266 +v 0.1902 6.4499 1.3765 +v 0.2354 6.4751 1.3107 +v 0.2645 6.5021 1.2280 +v 0.2870 6.5317 1.1409 +v 0.2923 6.5494 1.0742 +v 0.3058 6.5708 1.0121 +v 0.3105 6.5941 0.9415 +v 0.0906 6.5960 1.4617 +v 0.1773 6.6120 1.4131 +v 0.2220 6.6307 1.3401 +v 0.2564 6.6488 1.2575 +v 0.2844 6.6649 1.1691 +v 0.2922 6.6798 1.1010 +v 0.3057 6.6942 1.0351 +v 0.3100 6.7134 0.9609 +v 0.3103 6.6538 0.9512 +v 0.0000 6.5929 1.4669 +v 0.2603 6.5821 1.2436 +v 0.0000 6.5123 1.4477 +v 0.0922 6.5193 1.4451 +v 0.1830 6.5376 1.3959 +v 0.2289 6.5591 1.3256 +v 0.2857 6.6054 1.1555 +v 0.2923 6.6186 1.0876 +v 0.3058 6.6365 1.0237 +v 0.0490 6.4875 1.3686 +v 0.1012 6.5014 1.3383 +v 0.1466 6.5199 1.2836 +v 0.1653 6.5377 1.2315 +v 0.1841 6.5551 1.1720 +v 0.1934 6.5721 1.1082 +v 0.1956 6.5886 1.0458 +v 0.1960 6.6094 0.9736 +v 0.0000 6.4853 1.3705 +v -0.0969 6.4284 1.4242 +v -0.1902 6.4499 1.3765 +v -0.2354 6.4751 1.3107 +v -0.2645 6.5021 1.2280 +v -0.2870 6.5317 1.1409 +v -0.2923 6.5494 1.0742 +v -0.3058 6.5708 1.0121 +v -0.3105 6.5941 0.9415 +v -0.0906 6.5960 1.4617 +v -0.1773 6.6120 1.4131 +v -0.2220 6.6307 1.3401 +v -0.2564 6.6488 1.2575 +v -0.2844 6.6649 1.1691 +v -0.2922 6.6798 1.1010 +v -0.3057 6.6942 1.0351 +v -0.3100 6.7134 0.9609 +v -0.3103 6.6538 0.9512 +v -0.2603 6.5821 1.2436 +v -0.0922 6.5193 1.4451 +v -0.1830 6.5376 1.3959 +v -0.2289 6.5591 1.3256 +v -0.2857 6.6054 1.1555 +v -0.2923 6.6186 1.0876 +v -0.3058 6.6365 1.0237 +v -0.0490 6.4875 1.3686 +v -0.1012 6.5014 1.3383 +v -0.1466 6.5199 1.2836 +v -0.1653 6.5377 1.2315 +v -0.1841 6.5551 1.1720 +v -0.1934 6.5721 1.1082 +v -0.1956 6.5886 1.0458 +v -0.1960 6.6094 0.9736 +v 0.0781 6.7920 1.5079 +v 0.0000 6.7914 1.5108 +v 0.1613 6.8008 1.4541 +v 0.2096 6.8112 1.3701 +v 0.2479 6.8221 1.2904 +v 0.2818 6.8267 1.1992 +v 0.2923 6.8261 1.1278 +v 0.3058 6.8337 1.0582 +v 0.3096 6.8327 0.9803 +v 0.0000 6.6000 1.4677 +v 0.2213 6.6396 1.3420 +v 0.1740 6.6195 1.4119 +v 0.2521 6.7421 1.2748 +v 0.2160 6.7272 1.3553 +v 0.1685 6.7131 1.4347 +v 0.0828 6.7011 1.4870 +v 0.3108 6.7041 1.0387 +v 0.2971 6.6880 1.1041 +v 0.2836 6.6765 1.1728 +v 0.0000 6.6984 1.4898 +v 0.3092 6.7205 0.9671 +v 0.3098 6.7730 0.9706 +v 0.3058 6.7679 1.0467 +v 0.2920 6.7587 1.1162 +v 0.2831 6.7529 1.1846 +v 0.2541 6.6571 1.2598 +v 0.0891 6.6041 1.4643 +v 0.0000 6.7039 1.4134 +v 0.1443 6.7306 1.3269 +v 0.1007 6.7169 1.3769 +v 0.1944 6.7770 1.0810 +v 0.1922 6.7653 1.1459 +v 0.1838 6.7566 1.2087 +v 0.1954 6.7891 1.0071 +v 0.1656 6.7430 1.2704 +v 0.0484 6.7066 1.4090 +v -0.0781 6.7920 1.5079 +v -0.1613 6.8008 1.4541 +v -0.2096 6.8112 1.3701 +v -0.2479 6.8221 1.2904 +v -0.2818 6.8267 1.1992 +v -0.2923 6.8261 1.1278 +v -0.3058 6.8337 1.0582 +v -0.3096 6.8327 0.9803 +v -0.2213 6.6396 1.3420 +v -0.1740 6.6195 1.4119 +v -0.2521 6.7421 1.2748 +v -0.2160 6.7272 1.3553 +v -0.1685 6.7131 1.4347 +v -0.0828 6.7011 1.4870 +v -0.3108 6.7041 1.0387 +v -0.2971 6.6880 1.1041 +v -0.2836 6.6765 1.1728 +v -0.3092 6.7205 0.9671 +v -0.3098 6.7730 0.9706 +v -0.3058 6.7679 1.0467 +v -0.2920 6.7587 1.1162 +v -0.2831 6.7529 1.1846 +v -0.2541 6.6571 1.2598 +v -0.0891 6.6041 1.4643 +v -0.1443 6.7306 1.3269 +v -0.1007 6.7169 1.3769 +v -0.1944 6.7770 1.0810 +v -0.1922 6.7653 1.1459 +v -0.1838 6.7566 1.2087 +v -0.1954 6.7891 1.0071 +v -0.1656 6.7430 1.2704 +v -0.0484 6.7066 1.4090 +v 0.0000 -0.1051 1.1291 +v -0.2640 -0.0587 1.1108 +v -0.2536 -0.1850 1.0300 +v -0.1722 -0.0905 1.1160 +v -0.1802 -0.2125 1.0197 +v 0.0000 -0.3421 0.9007 +v -0.1519 -0.3051 0.8661 +v 0.0000 -0.4162 0.6118 +v -0.1029 -0.3991 0.6017 +v -0.2129 -0.2903 0.8631 +v -0.1589 -0.3894 0.5933 +v 0.2640 -0.0587 1.1108 +v 0.2536 -0.1850 1.0300 +v 0.1722 -0.0905 1.1160 +v 0.1802 -0.2125 1.0197 +v 0.1519 -0.3051 0.8661 +v 0.1029 -0.3991 0.6017 +v 0.2129 -0.2903 0.8631 +v 0.1589 -0.3894 0.5933 +v -0.2198 -0.0783 1.1183 +v -0.2052 -0.2014 1.0259 +v 0.0000 -0.1450 1.1108 +v -0.2610 -0.1222 1.0673 +v -0.0816 -0.1059 1.1219 +v -0.1393 -0.2340 1.0133 +v -0.1740 -0.1459 1.0728 +v -0.0321 -0.3261 0.8948 +v -0.0272 -0.4124 0.6100 +v 0.0000 -0.3911 0.7481 +v -0.1241 -0.3772 0.6790 +v -0.1771 -0.3661 0.6790 +v -0.1270 -0.3896 0.5964 +v -0.1756 -0.2961 0.8636 +v -0.2332 -0.2495 0.9307 +v -0.1597 -0.2726 0.9177 +v 0.0000 -0.3292 0.9125 +v 0.2198 -0.0783 1.1183 +v 0.2052 -0.2014 1.0259 +v 0.2610 -0.1222 1.0673 +v 0.0816 -0.1059 1.1219 +v 0.1740 -0.1459 1.0728 +v 0.1393 -0.2340 1.0133 +v 0.0272 -0.4124 0.6100 +v 0.1241 -0.3772 0.6790 +v 0.1771 -0.3661 0.6790 +v 0.1270 -0.3896 0.5964 +v 0.1756 -0.2961 0.8636 +v 0.2332 -0.2495 0.9307 +v 0.1597 -0.2726 0.9177 +v 0.0321 -0.3261 0.8948 +v -0.1036 -0.1720 1.0773 +v -0.2133 -0.1370 1.0688 +v -0.0365 -0.3708 0.7178 +v -0.1442 -0.3695 0.6713 +v -0.1888 -0.2633 0.9183 +v -0.0949 -0.2983 0.9323 +v 0.1036 -0.1720 1.0773 +v 0.2133 -0.1370 1.0688 +v 0.0365 -0.3708 0.7178 +v 0.1442 -0.3695 0.6713 +v 0.1888 -0.2633 0.9183 +v 0.0949 -0.2983 0.9323 +v -0.1889 -0.4429 0.9062 +v 0.1889 -0.4429 0.9062 +v -0.0420 -0.5002 0.9229 +v -0.1998 -0.5463 0.6803 +v 0.1998 -0.5463 0.6803 +v 0.0420 -0.5002 0.9229 +v -0.0443 -0.5743 0.7340 +v 0.0443 -0.5743 0.7340 +v -0.2518 -0.7157 0.9577 +v 0.2518 -0.7157 0.9577 +v -0.0716 -0.8028 0.9548 +v -0.2266 -0.7675 0.6937 +v 0.2266 -0.7675 0.6937 +v 0.0716 -0.8028 0.9548 +v -0.0504 -0.8260 0.7585 +v 0.0504 -0.8260 0.7585 +v -0.2290 -0.8516 0.9136 +v 0.2290 -0.8516 0.9136 +v -0.1073 -0.8720 0.9213 +v -0.1852 -0.9036 0.7756 +v 0.1852 -0.9036 0.7756 +v 0.1073 -0.8720 0.9213 +v -0.1041 -0.9168 0.7849 +v 0.1041 -0.9168 0.7849 +v 0.1326 -0.1014 1.1194 +v 0.1550 -0.2222 1.0160 +v 0.0720 -0.4062 0.6041 +v 0.0832 -0.3222 0.8786 +v 0.1446 -0.1538 1.0766 +v 0.0764 -0.3682 0.6876 +v 0.1286 -0.2842 0.9230 +v 0.1139 -0.4468 0.9451 +v 0.1075 -0.5831 0.6614 +v 0.1505 -0.7325 1.0011 +v 0.1394 -0.7861 0.6757 +v 0.1654 -0.8502 0.9455 +v 0.1461 -0.9124 0.7646 +v 0.0000 -0.5002 0.9229 +v -0.1656 -0.3334 0.7727 +v 0.0809 -0.9048 0.8518 +v 0.1559 -0.9129 0.8482 +v -0.1559 -0.9129 0.8482 +v 0.0258 -0.8648 0.8637 +v -0.2507 -0.8868 0.8382 +v 0.2507 -0.8868 0.8382 +v 0.1656 -0.3334 0.7727 +v -0.2292 -0.4854 0.7816 +v 0.2292 -0.4854 0.7816 +v -0.0832 -0.3222 0.8786 +v -0.1550 -0.2222 1.0160 +v -0.1326 -0.1014 1.1194 +v -0.1539 -0.3428 0.7740 +v -0.2006 -0.3326 0.7844 +v 0.1539 -0.3428 0.7740 +v 0.0000 -0.7650 0.9443 +v 0.0000 -0.8491 0.8702 +v -0.1461 -0.9124 0.7646 +v -0.1654 -0.8502 0.9455 +v -0.1394 -0.7861 0.6757 +v -0.0809 -0.9048 0.8518 +v -0.0764 -0.3682 0.6876 +v -0.1446 -0.1538 1.0766 +v -0.0720 -0.4062 0.6041 +v 0.2006 -0.3326 0.7844 +v -0.3098 -0.7319 0.8138 +v 0.3098 -0.7319 0.8138 +v 0.0000 -0.5775 0.7344 +v -0.0258 -0.8648 0.8637 +v -0.1505 -0.7325 1.0011 +v -0.1075 -0.5831 0.6614 +v -0.1139 -0.4468 0.9451 +v -0.1286 -0.2842 0.9230 +v 0.0000 -0.8149 0.7588 +v 0.0000 -0.2704 1.2189 +v -0.1393 -0.3566 1.1189 +v 0.0000 -0.4488 1.0154 +v 0.1393 -0.3566 1.1189 +v -0.1036 -0.2964 1.1847 +v -0.0949 -0.4185 1.0361 +v 0.1036 -0.2964 1.1847 +v 0.0949 -0.4185 1.0361 +v 0.0000 -0.4106 1.3409 +v -0.1393 -0.4828 1.2113 +v 0.0000 -0.5639 1.0942 +v 0.1393 -0.4828 1.2113 +v -0.1036 -0.4392 1.2825 +v -0.0949 -0.5339 1.1280 +v 0.1036 -0.4392 1.2825 +v 0.0949 -0.5339 1.1280 +v 0.0000 -0.5789 1.4122 +v -0.1393 -0.6177 1.2798 +v 0.0000 -0.6798 1.1540 +v 0.1393 -0.6177 1.2798 +v -0.1036 -0.5912 1.3710 +v -0.0949 -0.6535 1.1891 +v 0.1036 -0.5912 1.3710 +v 0.0949 -0.6535 1.1891 +v 0.0000 -0.7809 1.4829 +v -0.1393 -0.8207 1.3570 +v 0.0000 -0.8647 1.2256 +v 0.1393 -0.8207 1.3570 +v -0.1036 -0.7913 1.4412 +v -0.0949 -0.8449 1.2565 +v 0.1036 -0.7913 1.4412 +v 0.0949 -0.8449 1.2565 +v 0.0000 -0.9493 1.4393 +v -0.0467 -0.9618 1.3969 +v 0.0000 -0.9756 1.3525 +v 0.0467 -0.9618 1.3969 +v -0.0347 -0.9525 1.4252 +v -0.0318 -0.9692 1.3630 +v 0.0347 -0.9525 1.4252 +v 0.0318 -0.9692 1.3630 +v 0.0359 -0.6398 0.9272 +v 0.2285 -0.5844 0.9407 +v 0.0452 -0.6911 0.7437 +v -0.2285 -0.5844 0.9407 +v -0.0359 -0.6398 0.9272 +v -0.0452 -0.6911 0.7437 +v 0.2132 -0.6569 0.6870 +v -0.2132 -0.6569 0.6870 +v 0.1385 -0.5895 0.9862 +v 0.1141 -0.6835 0.6676 +v 0.0000 -0.6481 0.9361 +v 0.0000 -0.6990 0.7473 +v -0.2926 -0.5992 0.7974 +v -0.1385 -0.5895 0.9862 +v -0.1141 -0.6835 0.6676 +v 0.2926 -0.5992 0.7974 +v 0.0000 -0.9823 1.4034 +v 0.1213 -0.7690 1.3378 +v 0.0823 -0.7918 1.2516 +v -0.0908 -0.7447 1.4114 +v 0.0000 -0.7356 1.4479 +v 0.0000 -0.8114 1.2243 +v -0.0823 -0.7918 1.2516 +v -0.1213 -0.7690 1.3378 +v 0.0908 -0.7447 1.4114 +v -2.4345 -7.2770 -0.2801 +v -2.3639 -6.6097 -0.3332 +v -2.3952 -6.9010 -0.3016 +v -2.4131 -7.1023 -0.2926 +v -2.5031 -6.8768 -0.0158 +v -2.5255 -7.0780 0.0075 +v -2.0751 -6.6103 0.3676 +v -2.2373 -6.6374 -0.4318 +v -2.4959 -6.5892 -0.0354 +v -2.4685 -6.5760 0.1382 +v -2.1471 -6.5980 0.3898 +v -2.0125 -6.6160 0.3421 +v -2.2702 -6.5756 0.3612 +v -2.3721 -6.5805 0.2914 +v -2.1148 -6.9308 -0.3813 +v -1.9779 -6.9022 -0.2980 +v -2.1242 -6.8592 0.3942 +v -2.4598 -6.8895 -0.1927 +v -2.2850 -6.9177 -0.4004 +v -2.4780 -6.8652 0.1449 +v -2.1993 -6.8547 0.3942 +v -2.0616 -6.8606 0.3698 +v -2.3038 -6.8447 0.3587 +v -2.0020 -6.8591 0.3437 +v -1.9423 -6.8575 0.2719 +v -1.8544 -6.8731 0.0646 +v -1.8487 -6.8856 -0.0625 +v -2.4003 -6.8487 0.2803 +v -1.8998 -6.8946 -0.1932 +v -2.1588 -7.0364 0.4291 +v -2.5352 -7.0777 0.1752 +v -2.2515 -7.0403 0.4088 +v -2.0826 -7.0381 0.3979 +v -2.3505 -7.0468 0.3631 +v -2.0128 -7.0347 0.3632 +v -2.4505 -7.0597 0.3232 +v -2.5938 -7.2603 0.0125 +v -1.8745 -7.0250 0.0977 +v -1.9616 -7.0233 0.3016 +v -2.2959 -7.0989 -0.3971 +v -2.0151 -7.0762 -0.3002 +v -1.9233 -7.0581 -0.1708 +v -2.1475 -7.0953 -0.3912 +v -1.8712 -7.0437 -0.0345 +v -2.4860 -7.0950 -0.1616 +v -2.4425 -7.2197 0.3207 +v -2.0954 -7.1603 0.4631 +v -2.5250 -7.2372 0.1861 +v -1.8554 -7.1886 -0.0110 +v -2.1482 -7.2308 -0.4000 +v -2.5453 -7.2772 -0.1543 +v -2.2930 -7.2638 -0.3985 +v -2.0148 -7.2168 -0.2858 +v -1.9477 -7.1678 0.3456 +v -2.0196 -7.1618 0.4210 +v -1.8627 -7.1682 0.1297 +v -2.1801 -7.1664 0.4770 +v -2.2721 -7.1783 0.4550 +v -2.3632 -7.1985 0.4011 +v -1.9222 -7.2068 -0.1551 +v -1.8478 -6.6327 0.1483 +v -1.8858 -6.8621 0.1778 +v -1.9072 -7.0178 0.2168 +v -1.8973 -7.1659 0.2545 +v -2.0429 -7.9189 1.9746 +v -1.8471 -7.9587 1.9215 +v -2.2468 -7.8883 1.9449 +v -2.3421 -7.9044 1.9216 +v -2.4497 -7.9163 1.8852 +v -2.5619 -8.0050 1.8201 +v -1.9408 -8.1404 1.9150 +v -1.8393 -8.1106 1.8759 +v -1.8350 -8.0324 1.9196 +v -2.5721 -8.0871 1.7687 +v -2.4736 -8.1166 1.8052 +v -2.0230 -7.3780 0.6036 +v -1.8561 -7.4768 0.4615 +v -2.2234 -7.3879 0.6285 +v -2.3252 -7.4236 0.6032 +v -2.4240 -7.4777 0.5606 +v -2.6303 -7.7345 0.3029 +v -2.0200 -7.2774 0.4850 +v -2.2030 -7.2796 0.5345 +v -2.2966 -7.2993 0.5274 +v -2.3906 -7.3454 0.4538 +v -1.9412 -8.0078 0.3151 +v -1.8572 -7.8833 0.3059 +v -1.8186 -7.6512 0.3165 +v -1.8835 -7.3587 0.3308 +v -1.8404 -7.4217 0.1905 +v -1.9482 -8.0421 0.2018 +v -1.8859 -7.9468 0.1566 +v -1.9654 -8.0797 -0.0489 +v -1.9042 -7.9953 -0.0306 +v -1.9631 -8.1288 -0.2253 +v -1.9222 -8.0337 -0.2872 +v -1.9176 -7.7799 -0.3383 +v -2.3291 -8.0426 -0.4916 +v -2.3326 -7.7794 -0.5232 +v -2.5178 -8.0229 -0.3792 +v -2.5541 -7.7576 -0.3634 +v -2.5924 -8.0386 -0.1535 +v -2.6237 -7.7640 -0.1488 +v -2.6688 -8.0250 0.0657 +v -2.6526 -7.7652 0.0728 +v -2.6615 -8.0253 0.2324 +v -2.5570 -7.4588 0.2303 +v -2.3177 -7.4917 -0.4272 +v -2.4784 -7.4979 -0.2902 +v -2.6014 -7.5031 -0.1423 +v -2.6675 -7.4933 0.0317 +v -1.8803 -7.7577 -0.1115 +v -1.9918 -7.4735 -0.2827 +v -1.8738 -7.7151 0.1205 +v -2.5124 -8.1409 0.2394 +v -2.3282 -8.1361 0.2679 +v -2.0536 -8.0805 0.3114 +v -2.5105 -8.1369 0.1082 +v -2.3271 -8.1659 0.1425 +v -2.0508 -8.0960 0.1855 +v -2.4969 -8.1444 -0.1552 +v -2.3131 -8.1849 -0.1362 +v -1.8634 -7.4427 0.0419 +v -2.0560 -8.1697 -0.0946 +v -2.4656 -8.1332 -0.3259 +v -2.3292 -8.1736 -0.3774 +v -1.9199 -7.4658 -0.1156 +v -2.0444 -8.1838 -0.3596 +v -2.0146 -8.0896 -0.4837 +v -2.0698 -7.7815 -0.5185 +v -2.1234 -7.4778 -0.4287 +v -2.3101 -8.1421 1.8673 +v -2.1104 -8.1545 1.9202 +v -1.9302 -7.9395 1.9646 +v -2.5319 -7.9298 1.8311 +v -2.1405 -7.8937 1.9638 +v -2.1218 -7.8454 1.8351 +v -2.5742 -7.9002 1.6952 +v -1.8940 -7.8744 1.8181 +v -2.1050 -8.1927 1.7309 +v -2.3255 -8.1765 1.6898 +v -2.5119 -8.1448 1.6512 +v -2.6405 -8.1039 1.6278 +v -1.7549 -8.0114 1.7240 +v -1.7811 -8.1201 1.6942 +v -1.9039 -8.2040 1.7199 +v -2.6508 -7.9912 1.6568 +v -2.4628 -7.8581 1.7398 +v -2.3531 -7.8426 1.7770 +v -2.2395 -7.8403 1.8104 +v -1.7978 -7.9216 1.7696 +v -2.0058 -7.8556 1.8407 +v -1.9982 -7.8252 1.5592 +v -1.7518 -7.8612 1.4931 +v -2.2449 -7.8452 1.5568 +v -2.3804 -7.8562 1.5307 +v -2.5158 -7.8630 1.5112 +v -2.7446 -7.9693 1.4374 +v -1.8623 -8.2097 1.3743 +v -1.7239 -8.0981 1.3798 +v -1.6950 -7.9640 1.4221 +v -2.7173 -8.1048 1.3799 +v -2.5614 -8.1624 1.3539 +v -2.3283 -8.1931 1.3499 +v -2.0862 -8.2206 1.3637 +v -1.8620 -7.8257 1.5398 +v -2.6453 -7.8957 1.4965 +v -2.1206 -7.8339 1.5623 +v -2.1457 -7.7169 1.3088 +v -2.6665 -7.8544 1.2025 +v -1.8484 -7.7192 1.2784 +v -2.0785 -8.2059 1.0863 +v -2.3362 -8.2049 1.0678 +v -2.5675 -8.1687 1.0515 +v -2.7241 -8.0951 1.0746 +v -1.7012 -7.9082 1.1503 +v -1.7387 -8.0498 1.1090 +v -1.8611 -8.1705 1.0970 +v -2.7373 -7.9329 1.1360 +v -2.5485 -7.8220 1.2435 +v -2.4098 -7.8213 1.2674 +v -2.2790 -7.7594 1.2943 +v -1.7600 -7.7847 1.2371 +v -2.0119 -7.7136 1.3023 +v -2.0126 -7.6071 1.0710 +v -1.8007 -7.7273 0.9515 +v -2.2688 -7.6929 1.0460 +v -2.3918 -7.7231 1.0223 +v -2.5209 -7.7334 0.9923 +v -2.7257 -7.8811 0.7956 +v -1.8858 -8.1136 0.8297 +v -1.7955 -7.9997 0.8295 +v -1.7635 -7.8296 0.8507 +v -2.7311 -8.1100 0.7465 +v -2.5570 -8.1695 0.7547 +v -2.3354 -8.1929 0.7841 +v -2.0779 -8.1562 0.8150 +v -1.9403 -7.3061 0.4120 +v -1.9336 -7.4047 0.5725 +v -1.8885 -7.6309 1.0445 +v -2.6533 -7.7581 0.9278 +v -2.5126 -7.5701 0.4677 +v -2.4712 -7.3967 0.3657 +v -2.1408 -7.6175 1.0772 +v -2.1326 -7.4997 0.8129 +v -2.6040 -7.6832 0.6481 +v -1.9245 -7.5295 0.7619 +v -2.0742 -8.1311 0.5515 +v -2.3335 -8.1781 0.5196 +v -2.5273 -8.1568 0.4910 +v -2.6798 -8.0843 0.4790 +v -2.1199 -7.3652 0.6461 +v -2.1077 -7.2667 0.5319 +v -1.7846 -7.7157 0.5731 +v -1.8152 -7.9526 0.5624 +v -1.9063 -8.0700 0.5689 +v -2.6961 -7.8233 0.5279 +v -2.4750 -7.6093 0.7269 +v -2.3602 -7.5690 0.7626 +v -2.2475 -7.5314 0.7913 +v -1.8452 -7.6101 0.6829 +v -2.0207 -7.4843 0.8080 +v -1.9496 -8.0331 1.9911 +v -2.4521 -8.0122 1.9053 +v -2.1107 -8.0132 2.0034 +v -2.2448 -7.9442 2.0022 +v -2.3001 -8.0040 1.9646 +v -2.1661 -7.9480 2.0158 +v -1.8795 5.6996 0.4059 +v -1.8025 5.6103 0.6705 +v -1.4565 5.1687 0.9139 +v -1.3522 4.9497 0.9769 +v -2.2353 -4.9988 -0.5711 +v -1.2699 4.7635 1.0398 +v -1.1986 4.5963 1.1110 +v -1.4817 5.6777 0.6667 +v -1.5330 5.7736 0.4095 +v -1.2476 5.2501 0.9696 +v -1.1520 5.0232 1.0510 +v -2.2647 -5.3768 -0.5385 +v -1.0680 4.8502 1.1478 +v -1.0131 4.6799 1.2367 +v -1.2186 5.6316 0.6163 +v -1.2711 5.7223 0.3719 +v -1.0128 5.2761 0.9873 +v -0.9216 5.0588 1.0931 +v -2.2896 -5.7494 -0.4688 +v -0.8365 4.8787 1.1813 +v -0.7779 4.7042 1.2658 +v -0.9861 5.6031 0.5433 +v -1.0497 5.6783 0.3259 +v -0.6399 5.2709 1.0241 +v -0.6055 5.0518 1.1133 +v -0.5610 4.8794 1.1858 +v -0.5230 4.7095 1.2607 +v -1.4506 3.9606 0.0451 +v -1.1333 4.0205 -0.2745 +v -0.9483 4.0326 -0.3792 +v -0.7485 4.0544 -0.4254 +v -1.3448 0.7617 -0.6719 +v -2.5449 4.7974 0.3545 +v -2.4117 4.7668 0.5287 +v -1.8383 4.5044 0.4349 +v -2.6509 4.6224 0.3729 +v -2.5309 4.5862 0.5388 +v -1.9836 4.3251 0.4329 +v -2.1452 5.4689 0.3690 +v -2.0163 5.3683 0.6094 +v -1.5944 4.9699 0.8101 +v -1.4902 4.7915 0.8533 +v -1.3800 0.3590 -0.7554 +v -1.4120 4.6585 0.8941 +v -1.3470 4.5005 0.9495 +v -2.4597 4.9526 0.3581 +v -2.3061 4.9184 0.5327 +v -1.7356 4.6491 0.4799 +v -1.6005 4.5709 0.4551 +v -1.6705 -1.8605 -0.3854 +v -1.5273 4.4647 0.4716 +v -1.4894 4.3512 0.5046 +v -0.5466 4.0720 -0.4350 +v -0.3516 4.0774 -0.4477 +v -1.7079 -2.2994 -0.3089 +v -1.0205 5.5886 -0.4172 +v -1.0838 5.7275 -0.2056 +v -1.0879 5.7501 -0.0287 +v -1.0809 5.7263 0.1288 +v -0.3584 3.7537 1.6621 +v -1.1805 5.5112 -0.4344 +v -1.2596 5.6825 -0.2664 +v -1.2817 5.7546 -0.0465 +v -1.2747 5.7316 0.1409 +v -1.2809 5.2252 -0.5358 +v -1.0825 4.5025 -0.5324 +v -1.0381 4.3197 -0.5002 +v -1.0476 5.2347 -0.5815 +v -0.8495 4.5237 -0.5811 +v -0.8116 4.3443 -0.5273 +v -0.7913 5.2493 -0.5819 +v -0.6164 4.5372 -0.5542 +v -0.5896 4.3604 -0.5193 +v -0.4228 5.0868 -0.5542 +v -0.3932 4.5373 -0.5359 +v -0.3777 4.3682 -0.4951 +v -1.3973 5.4945 -0.4366 +v -1.4798 5.6755 -0.3167 +v -1.5191 5.7616 -0.0858 +v -1.5271 5.7787 0.1491 +v -1.6783 5.4538 -0.4196 +v -1.8022 5.5986 -0.3342 +v -1.8432 5.6831 -0.1197 +v -1.8771 5.7124 0.1329 +v -0.4972 3.7346 -0.3625 +v -1.4933 5.1958 -0.5067 +v -1.5574 4.3337 -0.0749 +v -1.5220 4.2267 -0.0203 +v -1.8394 5.2657 -0.4120 +v -1.9920 5.3825 -0.2971 +v -2.1079 5.4469 -0.1034 +v -2.1513 5.4739 0.1181 +v -1.6570 5.0777 -0.4644 +v -0.3183 3.7478 -0.3855 +v -1.5967 4.4338 -0.1634 +v -1.5515 4.3910 0.2060 +v -1.5257 4.2749 0.2446 +v -2.1099 4.8639 -0.3447 +v -2.2866 4.9230 -0.2563 +v -2.4073 4.9434 -0.1072 +v -2.4701 4.9634 0.0869 +v -1.9109 4.7554 -0.3731 +v -1.5743 -0.8215 -0.5312 +v -1.6814 4.4060 -0.1195 +v -1.7041 4.5075 0.1736 +v -2.2263 4.6852 -0.3168 +v -2.3887 4.7384 -0.2347 +v -2.5027 4.7828 -0.1004 +v -2.5506 4.7988 0.0849 +v -2.0356 4.5982 -0.3384 +v -1.7433 4.3232 -0.1002 +v -1.7870 4.4117 0.1693 +v -2.3777 4.4814 -0.2995 +v -2.5187 4.5414 -0.2170 +v -2.6219 4.5957 -0.0902 +v -2.6695 4.6220 0.0951 +v -2.1758 4.4172 -0.3285 +v -1.8545 4.1962 -0.0743 +v -1.9032 4.2713 0.1859 +v -1.6020 4.4852 0.1695 +v -1.7591 -3.0225 -0.2662 +v -2.3448 -6.2294 -0.3887 +v -1.7890 4.9063 -0.4174 +v -2.2713 5.1913 -0.1042 +v -2.3298 5.2002 0.0978 +v -2.1568 5.1395 -0.2784 +v -2.0037 5.0420 -0.3771 +v -2.1960 5.1153 0.5636 +v -2.3460 5.1995 0.3453 +v -1.4863 -0.5885 -0.5547 +v -1.5579 4.6653 0.6769 +v -1.6796 4.7724 0.6729 +v -1.4432 4.4069 0.7452 +v -1.4947 4.5485 0.7021 +v -1.2381 4.3020 -0.3859 +v -1.2949 4.4587 -0.4439 +v -1.3630 -0.0288 -0.7225 +v -2.7863 4.4442 0.3882 +v -2.6625 4.3934 0.5703 +v -2.1606 4.1031 0.4665 +v -2.5571 4.2711 -0.2848 +v -2.6723 4.3482 -0.1901 +v -2.7670 4.4034 -0.0624 +v -2.8103 4.4379 0.1315 +v -2.3737 4.1995 -0.3183 +v -1.3973 -0.3456 -0.6165 +v -2.0017 4.0143 -0.0585 +v -2.0514 4.0611 0.2221 +v -2.9087 4.2851 0.4245 +v -2.7879 4.2190 0.5892 +v -2.3432 3.8904 0.4724 +v -2.7136 4.1053 -0.2748 +v -2.8083 4.1853 -0.1727 +v -2.8987 4.2478 -0.0335 +v -2.9377 4.2798 0.1416 +v -2.5461 4.0250 -0.3081 +v -1.2927 1.4830 -0.4337 +v -2.2233 3.8307 -0.0724 +v -2.2384 3.8360 0.2329 +v -3.0122 4.1439 0.4329 +v -2.8866 4.0572 0.5850 +v -2.4769 3.7261 0.4597 +v -2.8541 3.9752 -0.2463 +v -2.9399 4.0504 -0.1498 +v -3.0191 4.1106 -0.0132 +v -3.0490 4.1424 0.1614 +v -2.6970 3.8761 -0.2850 +v -2.3704 3.6794 -0.0618 +v -2.3702 3.6586 0.2409 +v -0.3284 3.8536 -0.4087 +v -0.5125 3.8423 -0.3850 +v -0.6981 3.8245 -0.3499 +v -0.8783 3.8039 -0.2850 +v -1.0486 3.7827 -0.1884 +v -1.3470 3.7385 0.1090 +v -1.3737 3.7635 0.3590 +v -1.3671 3.8012 0.6249 +v -1.2077 3.9551 1.1676 +v -1.3125 3.8750 0.9061 +v -0.7395 4.5178 1.3413 +v -0.4877 4.5285 1.3300 +v -0.3398 3.5347 1.6610 +v -0.5393 3.4979 1.6281 +v -0.7521 3.4774 1.5801 +v -0.9642 3.4296 1.4617 +v -1.1126 3.3791 1.2461 +v -1.1665 3.7207 1.2453 +v -1.2868 4.3530 1.0112 +v -1.1514 4.4307 1.1865 +v -0.9811 4.4829 1.3278 +v -0.9147 5.6854 0.2824 +v -0.5139 5.4072 0.9612 +v -0.8331 5.6026 0.4538 +v -3.1055 4.0382 0.4495 +v -2.9889 3.9232 0.5801 +v -2.6176 3.5899 0.4374 +v -2.9966 3.8497 -0.2195 +v -3.0624 3.9285 -0.0963 +v -3.1243 3.9925 0.0305 +v -3.1388 4.0294 0.1952 +v -2.8547 3.7535 -0.2788 +v -1.7913 -3.2989 -0.2577 +v -2.5238 3.5507 -0.0294 +v -2.5145 3.5320 0.2477 +v -1.8266 -3.5315 -0.2729 +v -3.1803 3.9504 0.4690 +v -3.0706 3.8327 0.6003 +v -2.7423 3.4915 0.4227 +v -3.2027 3.6525 -0.1321 +v -3.2458 3.7467 -0.0400 +v -3.2762 3.8428 0.0743 +v -3.2563 3.9055 0.2459 +v -0.4593 4.4098 1.4016 +v -3.0809 3.5413 -0.2188 +v -2.6966 3.3983 -0.0309 +v -2.6379 3.4010 0.2364 +v -0.7068 4.3820 1.3908 +v -1.2399 1.7665 -0.2650 +v -3.2534 3.8775 0.5036 +v -3.1415 3.7666 0.6252 +v -2.8537 3.4000 0.4679 +v -3.3604 3.4929 -0.0179 +v -3.3979 3.5986 0.0616 +v -3.4028 3.7073 0.1651 +v -3.3658 3.8087 0.3086 +v -0.9601 4.3543 1.3839 +v -3.2624 3.3644 -0.1023 +v -2.8594 3.2600 0.0419 +v -2.7643 3.2828 0.3038 +v -3.3499 3.7908 0.5670 +v -3.2024 3.7198 0.6628 +v -2.8970 3.3294 0.5086 +v -3.4778 3.3862 0.0907 +v -3.5146 3.4930 0.1734 +v -3.5146 3.6002 0.2900 +v -3.4773 3.7101 0.4216 +v -1.1352 4.2812 1.2682 +v -3.3697 3.2505 0.0236 +v -2.9650 3.1717 0.1506 +v -2.8593 3.1844 0.3761 +v -3.4910 3.6589 0.6537 +v -3.3058 3.6478 0.7430 +v -2.9542 3.2404 0.6482 +v -3.6164 3.2536 0.2233 +v -3.6597 3.3625 0.2959 +v -3.6680 3.4672 0.3994 +v -3.6258 3.5756 0.5135 +v -1.3507 4.1249 0.8440 +v -3.4825 3.1315 0.1771 +v -1.3200 1.1449 -0.5737 +v -3.0638 3.0529 0.3189 +v -2.9533 3.0983 0.5132 +v -3.6506 3.4925 0.8118 +v -3.4642 3.4902 0.8951 +v -3.0884 3.0973 0.8503 +v -3.7608 3.1035 0.4326 +v -3.8036 3.2074 0.5004 +v -3.8012 3.3098 0.5901 +v -3.7676 3.4033 0.6853 +v -1.2535 4.2060 1.0835 +v -3.6198 2.9878 0.3863 +v -3.2093 2.9038 0.5318 +v -3.0964 2.9615 0.7155 +v -3.7862 3.2927 1.0151 +v -3.6213 3.2812 1.0772 +v -3.2918 2.9585 1.0309 +v -3.9140 2.9577 0.6637 +v -3.9515 3.0550 0.7366 +v -3.9500 3.1461 0.8144 +v -3.9091 3.2325 0.9080 +v -3.7813 2.8383 0.6177 +v -1.6406 -1.4356 -0.4532 +v -3.3795 2.7660 0.7701 +v -3.2936 2.8357 0.9176 +v -3.9303 3.1093 1.2384 +v -3.7801 3.1010 1.2956 +v -3.4801 2.8235 1.2326 +v -4.0770 2.8191 0.9003 +v -4.1043 2.9074 0.9735 +v -4.0975 2.9960 1.0470 +v -4.0523 3.0631 1.1418 +v -3.9750 2.6977 0.8554 +v -1.1033 3.3904 0.0014 +v -3.5665 2.6345 1.0179 +v -3.4853 2.7112 1.1305 +v -4.0673 2.9576 1.4430 +v -3.9271 2.9425 1.4914 +v -3.6471 2.7055 1.4204 +v -4.2218 2.6899 1.1287 +v -4.2411 2.7783 1.2051 +v -4.2198 2.8580 1.2715 +v -4.1735 2.9092 1.3634 +v -1.4058 4.0611 0.5744 +v -4.1287 2.5753 1.0896 +v -1.1704 3.6460 -0.0322 +v -3.7435 2.5124 1.2340 +v -3.6625 2.5976 1.3241 +v -4.2617 2.6890 1.7725 +v -4.1328 2.6787 1.8230 +v -3.8731 2.4914 1.7275 +v -4.4322 2.4236 1.5080 +v -4.4446 2.5241 1.5739 +v -4.4055 2.6081 1.6434 +v -4.3565 2.6502 1.7063 +v -4.3546 2.3230 1.4754 +v -1.0300 3.0500 0.0267 +v -3.9629 2.3051 1.5352 +v -3.8783 2.3911 1.6359 +v -4.3329 2.5581 1.9122 +v -4.2292 2.5548 1.9619 +v -4.0438 2.3300 1.9640 +v -4.5158 2.3122 1.6580 +v -4.5248 2.4091 1.7065 +v -4.4748 2.4932 1.8016 +v -4.4201 2.5291 1.8538 +v -1.4464 4.0136 0.3036 +v -4.4431 2.2099 1.6373 +v -1.0206 2.8210 0.0173 +v -4.1399 2.1421 1.7961 +v -4.0648 2.2231 1.8823 +v -0.8646 5.5107 0.8453 +v -1.1232 5.4839 0.8429 +v -1.3519 5.4718 0.8523 +v -1.6197 5.3914 0.8438 +v -1.7869 5.1829 0.7370 +v -1.9197 4.9590 0.6676 +v -1.9796 4.8310 0.6368 +v -2.0982 4.6596 0.6383 +v -2.2566 4.4650 0.6242 +v -2.4219 4.2600 0.6192 +v -2.5779 4.0592 0.6266 +v -2.6770 3.8835 0.6180 +v -2.7949 3.7339 0.5990 +v -3.9647 2.6087 1.8072 +v -4.0965 2.4604 1.9967 +v -3.7408 2.8395 1.4781 +v -1.1343 4.6947 -0.5626 +v -0.8966 4.7264 -0.6099 +v -0.6526 4.7339 -0.5868 +v -0.4122 4.7201 -0.5595 +v -1.0385 2.5501 -0.0121 +v -1.2946 4.0041 -0.1269 +v -1.3640 4.1222 -0.1932 +v -1.1372 3.5257 -0.0153 +v -1.3388 4.6440 -0.4921 +v -1.0585 3.2366 0.0229 +v -1.0854 2.2798 -0.0559 +v -1.1605 2.0228 -0.1370 +v -1.4915 4.5676 -0.3738 +v -1.4617 4.4003 -0.3014 +v -1.4128 4.2610 -0.2379 +v -1.2054 3.7624 -0.0583 +v -0.4316 4.9114 -0.5615 +v -0.7029 4.9617 -0.6542 +v -0.9572 4.9655 -0.6315 +v -1.1843 4.9590 -0.5734 +v -1.3716 4.9272 -0.5238 +v -1.8869 -3.7694 -0.3169 +v -1.9434 -3.9552 -0.3805 +v -2.0070 -4.1307 -0.4153 +v -1.7492 4.6142 -0.3203 +v -1.8516 4.4651 -0.2848 +v -1.9930 4.3187 -0.2585 +v -1.6333 4.7184 -0.3710 +v -2.1816 4.1080 -0.2726 +v -2.3620 3.9268 -0.2800 +v -2.5290 3.7661 -0.2631 +v -2.6792 3.6506 -0.2352 +v -2.8620 3.4696 -0.1845 +v -3.0411 3.2906 -0.0741 +v -3.1539 3.1803 0.0595 +v -3.2798 3.0541 0.2096 +v -3.4208 2.9089 0.4101 +v -3.5788 2.7613 0.6477 +v -3.7723 2.6030 0.9097 +v -3.9622 2.4738 1.1413 +v -4.1698 2.2845 1.4304 +v -4.3239 2.1238 1.6675 +v -2.1498 -4.6377 -0.5367 +v -3.4043 3.1276 1.0975 +v -3.5834 2.9741 1.2914 +v -3.2095 3.2950 0.9235 +v -3.0606 3.4561 0.7673 +v -2.9976 3.5467 0.6822 +v -2.9569 3.6041 0.6419 +v -2.8798 3.6720 0.6099 +v -1.4436 4.2105 0.5400 +v -0.9904 4.1679 -0.4319 +v -0.7778 4.1910 -0.4677 +v -0.5672 4.2044 -0.4824 +v -0.3639 4.2128 -0.4706 +v -1.5062 4.0848 0.0111 +v -1.4847 4.1481 0.2769 +v -1.1826 4.1567 -0.3273 +v -1.3350 3.5710 0.6685 +v -0.8304 3.5695 -0.2397 +v -0.6609 3.5939 -0.3041 +v -0.4841 3.6170 -0.3371 +v -0.3096 3.6327 -0.3599 +v -1.2741 3.5167 0.1505 +v -1.3152 3.5319 0.4066 +v -0.9905 3.5452 -0.1471 +v -1.3049 3.2760 0.7029 +v -0.7895 3.2761 -0.2001 +v -0.6291 3.2997 -0.2473 +v -0.4653 3.3194 -0.2850 +v -0.2997 3.3351 -0.3078 +v -1.1677 3.2288 0.2059 +v -1.2505 3.2403 0.4395 +v -0.9360 3.2536 -0.1146 +v -1.3322 3.0671 0.7171 +v -0.7696 3.0860 -0.1805 +v -0.6199 3.1045 -0.2337 +v -0.4615 3.1204 -0.2695 +v -0.2997 3.1326 -0.2923 +v -1.1309 3.0438 0.2081 +v -1.2012 3.0618 0.4343 +v -0.9076 3.0667 -0.0995 +v -1.3425 2.9004 0.7198 +v -0.7627 2.8510 -0.1828 +v -0.6176 2.8652 -0.2353 +v -0.4636 2.8768 -0.2712 +v -0.3042 2.8850 -0.2950 +v -1.1232 2.8181 0.1916 +v -1.1941 2.8683 0.4250 +v -0.8979 2.8355 -0.1040 +v -1.3788 2.5308 0.7049 +v -0.7698 2.5799 -0.2029 +v -0.6246 2.5907 -0.2559 +v -0.4718 2.5994 -0.2933 +v -0.3124 2.6050 -0.3188 +v -1.1501 2.5234 0.1352 +v -1.2492 2.5372 0.3876 +v -0.9084 2.5670 -0.1257 +v -1.4620 2.2394 0.6803 +v -0.4950 2.1849 1.5141 +v -1.3265 2.2538 0.3572 +v -0.9405 2.2928 -0.1705 +v -0.3051 2.1841 1.5570 +v -1.3874 4.2655 0.7924 +v -1.2837 3.6495 0.9578 +v -1.2571 3.1044 1.0017 +v -1.2460 3.3350 0.9801 +v -0.7185 3.1864 1.5407 +v -0.9142 3.1566 1.4103 +v -1.1366 2.2224 1.1568 +v -0.3060 2.5377 1.6000 +v -0.7009 2.8787 1.5113 +v -0.9003 2.8714 1.3781 +v -1.0944 2.5466 1.1759 +v -0.4897 2.5364 1.5595 +v -0.6989 2.5340 1.4741 +v -0.9077 2.5400 1.3436 +v -1.0683 2.8678 1.2021 +v -0.5125 3.2143 1.6180 +v -0.3112 2.8986 1.6372 +v -0.7125 2.1894 1.4283 +v -0.9343 2.2043 1.3081 +v -1.0737 3.1291 1.2382 +v -0.4956 2.8903 1.5962 +v -0.3224 3.2382 1.6571 +v -1.2753 2.8836 0.9914 +v -1.3058 2.5411 0.9675 +v -1.3576 2.2242 0.9576 +v -1.2219 2.2621 0.0983 +v -1.5241 2.0034 0.6483 +v -1.4427 2.0292 0.3016 +v -0.5104 1.8559 1.4641 +v -0.3119 1.8477 1.5107 +v -1.1939 1.9373 1.1549 +v -0.7375 1.8715 1.3838 +v -0.9684 1.8994 1.2763 +v -1.3837 1.9719 0.9501 +v -0.3203 2.3269 -0.3619 +v -0.7916 2.3037 -0.2475 +v -0.6397 2.3134 -0.3000 +v -0.4827 2.3214 -0.3368 +v -1.2266 1.6499 1.1121 +v -0.3262 1.5186 1.4662 +v -0.5287 1.5411 1.4122 +v -1.5349 1.7605 0.2328 +v -1.5499 1.7453 0.5956 +v -1.4280 1.7074 0.9396 +v -0.9955 1.6041 1.2319 +v -0.7589 1.5682 1.3272 +v -1.3455 2.0297 0.0251 +v -1.4480 1.7604 -0.0576 +v -0.8228 2.0353 -0.3249 +v -0.6582 2.0455 -0.3734 +v -0.4919 2.0546 -0.4040 +v -0.3237 2.0622 -0.4227 +v -0.8680 1.7805 -0.4365 +v -0.6892 1.7966 -0.4730 +v -0.5146 1.8051 -0.4894 +v -0.3288 1.8148 -0.4997 +v -0.8805 1.4820 -0.6065 +v -0.6832 1.4923 -0.6362 +v -0.4913 1.5024 -0.6343 +v -0.3035 1.5154 -0.6117 +v -0.9880 2.0257 -0.2485 +v -1.0495 1.7674 -0.3708 +v -0.9002 1.1885 -0.8250 +v -0.6828 1.1958 -0.8351 +v -0.4791 1.2030 -0.8051 +v -0.2836 1.2066 -0.7529 +v -1.4929 1.1333 -0.2654 +v -1.1156 1.1643 -0.7155 +v -0.8979 0.7991 -1.0061 +v -0.6633 0.8093 -1.0236 +v -0.4544 0.8035 -0.9697 +v -0.2543 0.8053 -0.9184 +v -1.5398 0.7381 -0.3443 +v -1.1408 0.7841 -0.9009 +v -0.8827 0.3693 -1.0579 +v -0.6345 0.3725 -1.0903 +v -0.4265 0.3648 -1.0424 +v -0.2108 0.3607 -1.0170 +v -1.5933 0.3379 -0.3933 +v -1.1451 0.3647 -0.9581 +v -0.8454 -0.0383 -0.9579 +v -0.5858 -0.0640 -0.9543 +v -0.3942 -0.0551 -0.8952 +v -0.1801 -0.0814 -0.8459 +v -1.6333 -0.0240 -0.3913 +v -0.8076 -0.3923 -0.8061 +v -0.4947 -0.4867 -0.6486 +v -0.3078 -0.4372 -0.6000 +v -0.1615 -0.3739 -0.5023 +v -1.1117 -0.0322 -0.8737 +v -1.6758 -0.3164 -0.3571 +v -0.1184 -0.4847 -0.1924 +v -1.1058 -0.3746 -0.7407 +v -1.6569 1.1195 0.0522 +v -1.7628 1.1311 0.4638 +v -1.6188 1.0796 0.8979 +v -1.6896 0.7189 0.0076 +v -1.7870 0.6926 0.4373 +v -1.6579 0.6541 0.8903 +v -1.7654 0.3180 0.0367 +v -1.8096 0.3003 0.4675 +v -1.7177 0.2722 0.9012 +v -1.8086 -0.0503 0.0687 +v -1.8932 -0.0414 0.5076 +v -1.7859 -0.0210 0.9527 +v -1.8728 -0.3059 0.1059 +v -1.9544 -0.3048 0.5386 +v -0.8726 -0.4820 1.1981 +v -1.3223 0.9888 1.1111 +v -0.3567 0.7253 1.3993 +v -0.5474 0.8123 1.3515 +v -1.0604 0.9306 1.1833 +v -0.7960 0.8728 1.2637 +v -1.3572 0.6038 1.1223 +v -0.3403 0.3079 1.3046 +v -0.5396 0.3877 1.2806 +v -1.0794 0.5463 1.1901 +v -0.8110 0.4675 1.2297 +v -1.4222 0.2291 1.1494 +v -0.2698 -0.0752 1.1469 +v -0.4874 0.0030 1.1262 +v -1.1108 0.1761 1.2225 +v -0.7943 0.1023 1.2028 +v -0.2336 -0.2158 1.0603 +v -1.4786 -0.0451 1.1916 +v -0.4515 -0.3043 1.0418 +v -1.1533 -0.1116 1.2262 +v -0.8195 -0.1931 1.1875 +v -1.0217 1.2996 1.2010 +v -0.7806 1.2399 1.2940 +v -0.3481 1.1421 1.4358 +v -1.2698 1.3576 1.1058 +v -0.5480 1.1920 1.3810 +v -0.1779 -0.3469 0.8467 +v -0.1342 -0.4152 0.6123 +v -0.1362 -0.4646 0.2366 +v -0.1166 -0.4778 0.0307 +v -1.0812 1.4723 -0.5297 +v -1.4903 1.4739 -0.1819 +v -1.6242 1.4608 0.1310 +v -1.5695 1.4262 0.9181 +v -1.6885 1.4643 0.5188 +v -1.2114 -0.4093 1.2529 +v -0.5262 -0.5726 1.0879 +v -1.5387 -0.3440 1.2232 +v -1.8519 -0.3055 0.9858 +v -0.2732 -0.4767 0.8401 +v -0.2091 -0.5840 0.5645 +v -0.2173 -0.6635 0.1644 +v -0.2781 -0.6667 -0.0759 +v -0.3335 -0.6649 0.8371 +v -0.2382 -0.7136 0.5658 +v -0.2503 -0.7949 0.1332 +v -0.3380 -0.7680 -0.1061 +v -0.2790 -0.6142 -0.3576 +v -0.4071 -0.7292 -0.3743 +v -0.9672 -0.7427 -0.6513 +v -0.7338 -0.8411 -0.5275 +v -0.9239 -0.7824 1.1762 +v -1.7771 -0.5313 -0.3160 +v -1.2136 -0.6509 -0.6394 +v -1.9185 -0.5065 0.1192 +v -2.0176 -0.5104 0.5543 +v -1.2655 -0.6739 1.2489 +v -0.6193 -0.8799 1.0795 +v -1.6016 -0.5934 1.2360 +v -1.9062 -0.5390 0.9781 +v -0.4274 -0.9819 0.8358 +v -0.3471 -1.0404 0.5698 +v -0.3599 -1.1019 0.0683 +v -0.4434 -1.0449 -0.1335 +v -0.5437 -0.9711 -0.3502 +v -1.0605 -0.9904 -0.6205 +v -0.8398 -1.1225 -0.4993 +v -0.9825 -1.0890 1.1873 +v -1.8363 -0.7730 -0.2939 +v -1.3242 -0.8953 -0.6223 +v -1.9763 -0.7484 0.1213 +v -2.0526 -0.7574 0.5632 +v -1.3255 -0.9739 1.2496 +v -0.7034 -1.1928 1.0682 +v -1.6619 -0.8658 1.2267 +v -1.9299 -0.7832 0.9693 +v -0.5212 -1.2750 0.8241 +v -0.4377 -1.3560 0.5675 +v -0.4560 -1.3525 0.0614 +v -0.5481 -1.2999 -0.1428 +v -0.6518 -1.2263 -0.3606 +v -1.2493 -2.0156 -0.4837 +v -1.0586 -2.1081 -0.4203 +v -1.2056 -2.0462 1.1431 +v -1.8526 -1.8270 -0.2152 +v -1.4594 -1.9267 -0.4791 +v -1.9828 -1.8211 0.1444 +v -2.0290 -1.8021 0.5141 +v -1.5105 -1.9401 1.1650 +v -0.9365 -2.1300 1.0478 +v -1.7815 -1.8602 1.1057 +v -1.9646 -1.8129 0.8908 +v -0.7587 -2.2090 0.7974 +v -0.6883 -2.2644 0.5481 +v -0.6918 -2.2838 0.0979 +v -0.7462 -2.2580 -0.1034 +v -0.8708 -2.1919 -0.2779 +v -1.3266 -2.4369 -0.3981 +v -1.1456 -2.5130 -0.3375 +v -1.2771 -2.4325 1.0989 +v -1.8659 -2.2559 -0.1642 +v -1.5244 -2.3601 -0.3954 +v -1.9926 -2.2277 0.1293 +v -2.0107 -2.2256 0.4691 +v -1.5588 -2.3404 1.1173 +v -1.0417 -2.4948 1.0156 +v -1.7917 -2.2801 1.0419 +v -1.9524 -2.2360 0.8102 +v -0.8665 -2.5810 0.7951 +v -0.7982 -2.6385 0.5559 +v -0.7764 -2.6729 0.1156 +v -0.8184 -2.6550 -0.0818 +v -0.9618 -2.5886 -0.2579 +v -1.4325 -3.1229 -0.3618 +v -1.2651 -3.1942 -0.3178 +v -1.3843 -3.1032 0.9240 +v -1.8861 -2.9810 -0.1274 +v -1.6016 -3.0719 -0.3368 +v -1.9722 -2.9519 0.1017 +v -1.9962 -2.9496 0.3927 +v -1.6104 -3.0462 0.9423 +v -1.2001 -3.1635 0.8789 +v -1.7861 -3.0043 0.8420 +v -1.9398 -2.9648 0.6721 +v -1.0424 -3.2398 0.7246 +v -0.9735 -3.2859 0.5341 +v -0.9461 -3.3040 0.1398 +v -1.0042 -3.2890 -0.0440 +v -1.1181 -3.2558 -0.1930 +v -1.4598 -3.3944 -0.3675 +v -1.3000 -3.4631 -0.3144 +v -1.4654 -3.3972 0.9380 +v -1.9255 -3.2597 -0.1304 +v -1.6325 -3.3418 -0.3447 +v -2.0116 -3.2410 0.0979 +v -2.0257 -3.2537 0.3598 +v -1.6499 -3.3501 0.8963 +v -1.2734 -3.4573 0.8760 +v -1.8005 -3.3098 0.7869 +v -1.9260 -3.2785 0.6209 +v -1.1314 -3.5263 0.6955 +v -1.0456 -3.5730 0.4974 +v -0.9908 -3.5891 0.1129 +v -1.0661 -3.5682 -0.0394 +v -1.1616 -3.5285 -0.1869 +v -1.4869 -3.6284 -0.3927 +v -1.3296 -3.6729 -0.3209 +v -1.5152 -3.6602 0.9236 +v -1.9604 -3.4943 -0.1372 +v -1.6686 -3.5679 -0.3732 +v -2.0439 -3.4863 0.0804 +v -2.0591 -3.4902 0.3366 +v -1.6954 -3.6149 0.9013 +v -1.3199 -3.7005 0.8601 +v -1.8400 -3.5762 0.7861 +v -1.9737 -3.5310 0.5970 +v -1.1704 -3.7637 0.6894 +v -1.0672 -3.8048 0.4970 +v -1.0322 -3.7820 0.0969 +v -1.1053 -3.7538 -0.0537 +v -1.1918 -3.7190 -0.2005 +v -1.5287 -3.8772 -0.4423 +v -1.3702 -3.9522 -0.3760 +v -1.5763 -3.9273 0.8521 +v -2.0208 -3.7199 -0.1565 +v -1.7120 -3.8153 -0.4269 +v -2.0904 -3.7117 0.0631 +v -2.0983 -3.7248 0.3030 +v -1.7390 -3.8741 0.8365 +v -1.4078 -3.9934 0.7684 +v -1.8770 -3.8263 0.7490 +v -1.9974 -3.7637 0.5286 +v -1.2713 -4.0596 0.6063 +v -1.1705 -4.1023 0.4341 +v -1.1396 -4.1067 0.0524 +v -1.1773 -4.0745 -0.1139 +v -1.2523 -4.0236 -0.2565 +v -1.5706 -4.0829 -0.4935 +v -1.3995 -4.1560 -0.4270 +v -1.6272 -4.1540 0.7450 +v -2.0843 -3.9143 -0.1995 +v -1.7511 -4.0169 -0.4779 +v -2.1512 -3.9119 0.0261 +v -2.1517 -3.9304 0.2741 +v -1.7666 -4.0973 0.7495 +v -1.5033 -4.2006 0.6895 +v -1.9025 -4.0435 0.6900 +v -2.0563 -3.9744 0.4913 +v -1.3660 -4.2828 0.5355 +v -1.2662 -4.3215 0.3763 +v -1.2018 -4.3110 0.0269 +v -1.2365 -4.2787 -0.1473 +v -1.2924 -4.2339 -0.2951 +v -1.5981 -4.2934 -0.5528 +v -1.4308 -4.3798 -0.4890 +v -1.6716 -4.3818 0.6390 +v -2.1649 -4.1039 -0.2320 +v -1.7949 -4.2230 -0.5333 +v -2.2356 -4.1032 0.0038 +v -2.2100 -4.1269 0.2524 +v -1.7930 -4.3162 0.6618 +v -1.5629 -4.4374 0.5846 +v -1.9310 -4.2525 0.6311 +v -2.1005 -4.1802 0.4624 +v -1.4424 -4.5064 0.4742 +v -1.3405 -4.5455 0.3404 +v -1.2424 -4.5441 0.0026 +v -1.2521 -4.5132 -0.1858 +v -1.3110 -4.4653 -0.3463 +v -1.6722 -4.8363 -0.6756 +v -1.5003 -4.9176 -0.5951 +v -1.7645 -4.8921 0.5115 +v -2.3628 -4.5945 -0.3307 +v -1.9171 -4.7473 -0.6709 +v -2.4264 -4.5870 -0.0630 +v -2.3631 -4.6065 0.2062 +v -1.8882 -4.8225 0.5653 +v -1.6743 -4.9462 0.4595 +v -2.0371 -4.7451 0.5279 +v -2.2112 -4.6745 0.3988 +v -1.5869 -4.9991 0.3743 +v -1.4948 -5.0375 0.2696 +v -1.3347 -5.0539 -0.0405 +v -1.3230 -5.0214 -0.2543 +v -1.3861 -4.9805 -0.4319 +v -1.7562 -5.1607 -0.6804 +v -1.5655 -5.2319 -0.6083 +v -1.8090 -5.1930 0.4747 +v -2.4501 -4.9382 -0.3671 +v -2.0043 -5.0810 -0.7269 +v -2.4781 -4.9191 -0.0881 +v -2.4111 -4.9416 0.1844 +v -1.9336 -5.1333 0.5276 +v -1.7310 -5.2345 0.4207 +v -2.0943 -5.0691 0.5019 +v -2.2675 -5.0006 0.3795 +v -1.6548 -5.2757 0.3457 +v -1.5827 -5.3060 0.2363 +v -1.4301 -5.3378 -0.0411 +v -1.4024 -5.3187 -0.2437 +v -1.4470 -5.2848 -0.4276 +v -1.8213 -5.4937 -0.6376 +v -1.6550 -5.5520 -0.5744 +v -1.8603 -5.5171 0.4269 +v -2.4515 -5.3207 -0.3457 +v -2.0246 -5.4312 -0.6226 +v -2.4905 -5.3018 -0.0937 +v -2.4477 -5.3179 0.1676 +v -1.9623 -5.4812 0.4708 +v -1.7883 -5.5478 0.3858 +v -2.1179 -5.4344 0.4783 +v -2.3170 -5.3637 0.3623 +v -1.7242 -5.5761 0.3081 +v -1.6648 -5.6036 0.2162 +v -1.5644 -5.6254 -0.0420 +v -1.5301 -5.6200 -0.2161 +v -1.5519 -5.5945 -0.3948 +v -1.8804 -5.8243 -0.5681 +v -1.7551 -5.8657 -0.4775 +v -1.9188 -5.8632 0.3895 +v -2.4239 -5.7354 -0.2997 +v -2.0652 -5.7830 -0.5541 +v -2.4790 -5.7313 -0.0811 +v -2.4515 -5.7398 0.1540 +v -2.0037 -5.8451 0.4229 +v -1.8543 -5.8829 0.3542 +v -2.1513 -5.8159 0.4337 +v -2.3264 -5.7697 0.3319 +v -1.7979 -5.9051 0.2968 +v -1.7399 -5.9276 0.2279 +v -1.6502 -5.9436 -0.0266 +v -1.6512 -5.9344 -0.1813 +v -1.6927 -5.9080 -0.3396 +v -1.9832 -6.2344 -0.4883 +v -1.8663 -6.2445 -0.3941 +v -2.0047 -6.2438 0.3690 +v -2.4341 -6.2148 -0.2648 +v -2.1716 -6.2475 -0.4924 +v -2.4851 -6.2111 -0.0666 +v -2.4580 -6.2037 0.1342 +v -2.0731 -6.2354 0.3966 +v -1.9409 -6.2536 0.3416 +v -2.2049 -6.1973 0.3929 +v -2.3375 -6.2005 0.3196 +v -1.8847 -6.2620 0.2893 +v -1.8283 -6.2760 0.2329 +v -1.7284 -6.2938 -0.0022 +v -1.7388 -6.2847 -0.1368 +v -1.7861 -6.2693 -0.2754 +v -2.0821 -6.6650 -0.3971 +v -1.9435 -6.6675 -0.3206 +v -2.4429 -6.6156 -0.2234 +v -1.9534 -6.6201 0.3045 +v -1.9021 -6.6289 0.2376 +v -1.8109 -6.6354 0.0375 +v -1.8045 -6.6534 -0.0874 +v -1.8661 -6.6626 -0.2219 +v -0.1308 -0.4439 0.4303 +v -0.2122 -0.6344 0.3762 +v -0.2377 -0.7644 0.3607 +v -0.3263 -1.0886 0.3278 +v -0.4414 -1.3727 0.3122 +v -0.6694 -2.2792 0.3211 +v -0.7852 -2.6642 0.3298 +v -0.9591 -3.2996 0.3570 +v -0.9942 -3.5858 0.3182 +v -1.0202 -3.8007 0.2815 +v -1.1532 -4.1178 0.2413 +v -1.2322 -4.3200 0.1970 +v -1.2750 -4.5525 0.1756 +v -1.3992 -5.0526 0.1301 +v -1.4993 -5.3265 0.1163 +v -1.6039 -5.6196 0.0991 +v -1.6792 -5.9388 0.1143 +v -1.7665 -6.2888 0.1206 +v -0.8452 -1.7829 1.0437 +v -0.6610 -1.8569 0.8048 +v -0.5961 -1.9122 0.5524 +v -0.5908 -1.9236 0.3136 +v -0.6181 -1.9235 0.0809 +v -0.6849 -1.8927 -0.1235 +v -0.7899 -1.8326 -0.3159 +v -0.9610 -1.7261 -0.4609 +v -1.1596 -1.6112 -0.5492 +v -1.3950 -1.5065 -0.5540 +v -1.8425 -1.4135 -0.2421 +v -1.9722 -1.4165 0.1461 +v -2.0533 -1.3994 0.5448 +v -1.9721 -1.4257 0.9368 +v -1.7341 -1.4971 1.1759 +v -1.4418 -1.5724 1.2087 +v -1.1216 -1.6863 1.1763 +v -0.7060 5.5448 0.7374 +v -0.4063 5.2485 -0.5640 +v -0.6953 5.4004 -0.5447 +v -0.9610 5.7426 0.1018 +v -0.9803 5.7612 -0.0520 +v -0.9811 5.7473 -0.2131 +v -0.9086 5.6629 -0.3884 +v -1.2267 3.3853 0.1746 +v -0.6451 3.4585 -0.2793 +v -0.3032 3.4987 -0.3330 +v -0.4732 3.4818 -0.3102 +v -0.9631 3.4100 -0.1293 +v -1.3177 3.4393 0.6865 +v -0.4065 4.0592 1.5855 +v -0.6386 4.0307 1.5642 +v -0.5738 3.7046 1.6257 +v -0.8044 3.6556 1.6107 +v -0.8091 3.4342 -0.2184 +v -1.3514 3.6871 0.6484 +v -1.3533 3.6465 0.3848 +v -1.1399 3.5718 1.2522 +v -1.0612 3.9134 1.4251 +v -0.8826 3.9874 1.5585 +v -1.2988 3.7653 0.9358 +v -1.1884 3.8436 1.2116 +v -1.5104 4.8471 -0.4579 +v -1.3106 3.6289 0.1424 +v -1.0189 3.6663 -0.1670 +v -0.8534 3.6899 -0.2623 +v -0.6787 3.7131 -0.3286 +v -1.0118 3.6196 1.4821 +v -1.2573 3.5144 0.9678 +v -1.2906 3.3958 0.4301 +v -1.0841 4.0301 1.3737 +v -0.9068 4.1014 1.5053 +v -0.6598 4.1449 1.5117 +v -0.4223 4.1696 1.5304 +v -0.3826 3.9157 1.6383 +v -0.6082 3.8793 1.6121 +v -0.8500 3.8364 1.6192 +v -1.0487 3.7835 1.4913 +v -0.2440 5.2017 1.0165 +v -0.2455 5.0163 1.0874 +v -0.2520 4.7089 1.2235 +v -0.2468 4.8642 1.1508 +v -0.2339 4.4145 1.4061 +v -0.1683 3.5559 1.6722 +v -0.2390 4.5408 1.3297 +v -0.2404 5.3677 0.9486 +v -0.1510 2.1813 1.5823 +v -0.1504 2.5344 1.6183 +v -0.1585 3.2504 1.6697 +v -0.1523 2.8996 1.6501 +v -0.1540 1.8412 1.5362 +v -0.1827 3.7699 1.6696 +v -0.2031 4.0701 1.5944 +v -0.1734 5.0541 -0.5572 +v -0.2071 4.1815 1.5362 +v -0.1915 3.9267 1.6468 +v -0.1743 5.2205 -0.5446 +v -0.1956 4.8837 -0.5459 +v -0.1929 4.7094 -0.5322 +v -0.1856 4.5355 -0.5119 +v -0.1787 4.3667 -0.4899 +v -0.1726 4.2111 -0.4700 +v -0.1670 4.0763 -0.4529 +v -0.1562 3.8587 -0.4170 +v -0.1509 3.7553 -0.3939 +v -0.1465 3.6424 -0.3688 +v -0.1439 3.5099 -0.3433 +v -0.1430 3.3457 -0.3201 +v -0.1443 3.1404 -0.3060 +v -0.1480 2.8896 -0.3097 +v -0.1535 2.6075 -0.3348 +v -0.1578 2.3298 -0.3774 +v -0.1579 2.0679 -0.4328 +v -0.1473 1.8390 -0.4924 +v -0.1174 1.5471 -0.5676 +v -0.0960 1.2078 -0.7079 +v -0.0579 0.8081 -0.8132 +v -0.0456 0.3369 -0.8640 +v -0.0489 -0.1213 -0.6068 +v -0.0551 -0.3428 -0.3294 +v -0.0578 -0.4359 -0.1310 +v -0.0595 -0.4715 0.0569 +v -0.0769 -0.4627 0.2437 +v -0.0785 -0.4546 0.4288 +v -0.0834 -0.4361 0.6242 +v -0.1034 -0.3752 0.8586 +v -0.1247 -0.2494 1.0530 +v -0.1376 -0.1156 1.1469 +v -0.1707 0.2398 1.2987 +v -0.1783 0.6584 1.4071 +v -0.1724 1.1023 1.4558 +v -0.1604 1.5011 1.4878 +v -1.3863 3.9231 0.6001 +v -1.4094 3.8844 0.3313 +v -1.3967 3.8475 0.0806 +v -1.0844 3.9016 -0.2203 +v -0.9081 3.9189 -0.3184 +v -0.7206 3.9378 -0.3775 +v -0.5287 3.9525 -0.4087 +v -0.3390 3.9592 -0.4293 +v -0.4375 4.2884 1.4746 +v -0.6880 4.2669 1.4485 +v -0.9331 4.2227 1.4474 +v -1.1092 4.1498 1.3225 +v -1.3310 3.9922 0.8764 +v -1.2296 4.0729 1.1265 +v -1.2468 3.8811 -0.0895 +v -0.2221 4.2848 1.4831 +v -0.1616 3.9619 -0.4363 +v -0.3712 5.4611 -0.5378 +v -0.5993 5.5895 -0.4914 +v -0.8293 5.8057 -0.1803 +v -0.7643 5.7439 -0.3569 +v -0.1558 5.4127 -0.5121 +v -0.3401 5.6733 -0.4654 +v -0.5303 5.7768 -0.3965 +v -0.6911 5.8889 -0.1271 +v -0.6410 5.8585 -0.2732 +v -0.1416 5.6103 -0.4502 +v -0.3070 5.8527 -0.3612 +v -0.4528 5.9296 -0.2766 +v -0.5828 5.9713 -0.0580 +v -0.5335 5.9689 -0.1697 +v -0.1306 5.8000 -0.3626 +v -0.2775 6.0206 -0.2518 +v -0.4133 6.0720 -0.1789 +v -0.5276 6.0841 0.0115 +v -0.4936 6.0917 -0.0987 +v -0.1171 5.9826 -0.2641 +v -0.2541 6.1457 -0.1994 +v -0.3906 6.1615 -0.1473 +v -0.5124 6.1688 0.0523 +v -0.4883 6.1734 -0.0409 +v -0.1161 6.1338 -0.2158 +v -0.4197 5.5359 0.7468 +v -0.6821 5.6529 0.4192 +v -0.5586 5.5942 0.6089 +v -0.2121 5.5243 0.8256 +v -0.3494 5.6764 0.6739 +v -0.5741 5.7354 0.4003 +v -0.4814 5.6916 0.5314 +v -0.1788 5.6729 0.7369 +v -0.3243 5.8232 0.6500 +v -0.5000 5.8457 0.3999 +v -0.4384 5.8247 0.5183 +v -0.1687 5.8224 0.7019 +v -0.3159 5.9637 0.6335 +v -0.4767 5.9799 0.3948 +v -0.4267 5.9703 0.5137 +v -0.1672 5.9551 0.6949 +v -0.3147 6.0672 0.6315 +v -0.4644 6.1048 0.3902 +v -0.4236 6.0871 0.5148 +v -0.1795 6.0591 0.7235 +v -0.7531 5.7216 0.2718 +v -0.8091 5.7835 0.1147 +v -0.8313 5.8094 -0.0313 +v -0.6304 5.7880 0.2715 +v -0.6496 5.8325 0.1412 +v -0.6913 5.8738 0.0039 +v -0.5473 5.8726 0.2734 +v -0.5752 5.9164 0.1527 +v -0.5949 5.9532 0.0436 +v -0.5139 6.0084 0.2673 +v -0.5307 6.0298 0.1749 +v -0.5333 6.0611 0.0893 +v -0.4882 6.1264 0.2845 +v -0.5017 6.1416 0.2063 +v -0.5144 6.1537 0.1290 +v -2.1105 -8.0838 1.9618 +v -2.3051 -8.0730 1.9160 +v -1.8371 -8.0716 1.8977 +v -2.5670 -8.0460 1.7944 +v -1.8379 -7.7673 0.3112 +v -2.0422 -7.9356 -0.5424 +v -1.8799 -7.8309 0.1385 +v -1.8839 -7.8757 -0.0738 +v -2.6459 -7.8799 0.2676 +v -2.6607 -7.8951 0.0693 +v -1.7095 -8.0311 1.4010 +v -2.7310 -8.0371 1.4086 +v -2.6456 -8.0475 1.6423 +v -1.7680 -8.0658 1.7091 +v -2.6376 -7.8996 -0.1585 +v -2.5519 -7.8893 -0.4291 +v -2.3330 -7.9154 -0.5616 +v -1.9014 -7.9182 -0.3122 +v -2.4629 -8.0643 1.8553 +v -1.9452 -8.0867 1.9531 +v -2.6879 -7.9538 0.5034 +v -1.7999 -7.8342 0.5677 +v -1.7794 -7.9146 0.8401 +v -2.7504 -7.9851 0.7710 +v -2.7450 -8.0132 1.1053 +v -1.7199 -7.9791 1.1296 +v 2.4345 -7.2770 -0.2801 +v 2.3639 -6.6097 -0.3332 +v 2.3952 -6.9010 -0.3016 +v 2.4131 -7.1023 -0.2926 +v 2.5031 -6.8768 -0.0158 +v 2.5255 -7.0780 0.0075 +v 2.0751 -6.6103 0.3676 +v 2.2373 -6.6374 -0.4318 +v 2.4959 -6.5892 -0.0354 +v 2.4685 -6.5760 0.1382 +v 2.1471 -6.5980 0.3898 +v 2.0125 -6.6160 0.3421 +v 2.2702 -6.5756 0.3612 +v 2.3721 -6.5805 0.2914 +v 2.1148 -6.9308 -0.3813 +v 1.9779 -6.9022 -0.2980 +v 2.1242 -6.8592 0.3942 +v 2.4598 -6.8895 -0.1927 +v 2.2850 -6.9177 -0.4004 +v 2.4780 -6.8652 0.1449 +v 2.1993 -6.8547 0.3942 +v 2.0616 -6.8606 0.3698 +v 2.3038 -6.8447 0.3587 +v 2.0020 -6.8591 0.3437 +v 1.9423 -6.8575 0.2719 +v 1.8544 -6.8731 0.0646 +v 1.8487 -6.8856 -0.0625 +v 2.4003 -6.8487 0.2803 +v 1.8998 -6.8946 -0.1932 +v 2.1588 -7.0364 0.4291 +v 2.5352 -7.0777 0.1752 +v 2.2515 -7.0403 0.4088 +v 2.0826 -7.0381 0.3979 +v 2.3505 -7.0468 0.3631 +v 2.0128 -7.0347 0.3632 +v 2.4505 -7.0597 0.3232 +v 2.5938 -7.2603 0.0125 +v 1.8745 -7.0250 0.0977 +v 1.9616 -7.0233 0.3016 +v 2.2959 -7.0989 -0.3971 +v 2.0151 -7.0762 -0.3002 +v 1.9233 -7.0581 -0.1708 +v 2.1475 -7.0953 -0.3912 +v 1.8712 -7.0437 -0.0345 +v 2.4860 -7.0950 -0.1616 +v 2.4425 -7.2197 0.3207 +v 2.0954 -7.1603 0.4631 +v 2.5250 -7.2372 0.1861 +v 1.8554 -7.1886 -0.0110 +v 2.1482 -7.2308 -0.4000 +v 2.5453 -7.2772 -0.1543 +v 2.2930 -7.2638 -0.3985 +v 2.0148 -7.2168 -0.2858 +v 1.9477 -7.1678 0.3456 +v 2.0196 -7.1618 0.4210 +v 1.8627 -7.1682 0.1297 +v 2.1801 -7.1664 0.4770 +v 2.2721 -7.1783 0.4550 +v 2.3632 -7.1985 0.4011 +v 1.9222 -7.2068 -0.1551 +v 1.8478 -6.6327 0.1483 +v 1.8858 -6.8621 0.1778 +v 1.9072 -7.0178 0.2168 +v 1.8973 -7.1659 0.2545 +v 2.0429 -7.9189 1.9746 +v 1.8471 -7.9587 1.9215 +v 2.2468 -7.8883 1.9449 +v 2.3421 -7.9044 1.9216 +v 2.4497 -7.9163 1.8852 +v 2.5619 -8.0050 1.8201 +v 1.9408 -8.1404 1.9150 +v 1.8393 -8.1106 1.8759 +v 1.8350 -8.0324 1.9196 +v 2.5721 -8.0871 1.7687 +v 2.4736 -8.1166 1.8052 +v 2.0230 -7.3780 0.6036 +v 1.8561 -7.4768 0.4615 +v 2.2234 -7.3879 0.6285 +v 2.3252 -7.4236 0.6032 +v 2.4240 -7.4777 0.5606 +v 2.6303 -7.7345 0.3029 +v 2.0200 -7.2774 0.4850 +v 2.2030 -7.2796 0.5345 +v 2.2966 -7.2993 0.5274 +v 2.3906 -7.3454 0.4538 +v 1.9412 -8.0078 0.3151 +v 1.8572 -7.8833 0.3059 +v 1.8186 -7.6512 0.3165 +v 1.8835 -7.3587 0.3308 +v 1.8404 -7.4217 0.1905 +v 1.9482 -8.0421 0.2018 +v 1.8859 -7.9468 0.1566 +v 1.9654 -8.0797 -0.0489 +v 1.9042 -7.9953 -0.0306 +v 1.9631 -8.1288 -0.2253 +v 1.9222 -8.0337 -0.2872 +v 1.9176 -7.7799 -0.3383 +v 2.3291 -8.0426 -0.4916 +v 2.3326 -7.7794 -0.5232 +v 2.5178 -8.0229 -0.3792 +v 2.5541 -7.7576 -0.3634 +v 2.5924 -8.0386 -0.1535 +v 2.6237 -7.7640 -0.1488 +v 2.6688 -8.0250 0.0657 +v 2.6526 -7.7652 0.0728 +v 2.6615 -8.0253 0.2324 +v 2.5570 -7.4588 0.2303 +v 2.3177 -7.4917 -0.4272 +v 2.4784 -7.4979 -0.2902 +v 2.6014 -7.5031 -0.1423 +v 2.6675 -7.4933 0.0317 +v 1.8803 -7.7577 -0.1115 +v 1.9918 -7.4735 -0.2827 +v 1.8738 -7.7151 0.1205 +v 2.5124 -8.1409 0.2394 +v 2.3282 -8.1361 0.2679 +v 2.0536 -8.0805 0.3114 +v 2.5105 -8.1369 0.1082 +v 2.3271 -8.1659 0.1425 +v 2.0508 -8.0960 0.1855 +v 2.4969 -8.1444 -0.1552 +v 2.3131 -8.1849 -0.1362 +v 1.8634 -7.4427 0.0419 +v 2.0560 -8.1697 -0.0946 +v 2.4656 -8.1332 -0.3259 +v 2.3292 -8.1736 -0.3774 +v 1.9199 -7.4658 -0.1156 +v 2.0444 -8.1838 -0.3596 +v 2.0146 -8.0896 -0.4837 +v 2.0698 -7.7815 -0.5185 +v 2.1234 -7.4778 -0.4287 +v 2.3101 -8.1421 1.8673 +v 2.1104 -8.1545 1.9202 +v 1.9302 -7.9395 1.9646 +v 2.5319 -7.9298 1.8311 +v 2.1405 -7.8937 1.9638 +v 2.1218 -7.8454 1.8351 +v 2.5742 -7.9002 1.6952 +v 1.8940 -7.8744 1.8181 +v 2.1050 -8.1927 1.7309 +v 2.3255 -8.1765 1.6898 +v 2.5119 -8.1448 1.6512 +v 2.6405 -8.1039 1.6278 +v 1.7549 -8.0114 1.7240 +v 1.7811 -8.1201 1.6942 +v 1.9039 -8.2040 1.7199 +v 2.6508 -7.9912 1.6568 +v 2.4628 -7.8581 1.7398 +v 2.3531 -7.8426 1.7770 +v 2.2395 -7.8403 1.8104 +v 1.7978 -7.9216 1.7696 +v 2.0058 -7.8556 1.8407 +v 1.9982 -7.8252 1.5592 +v 1.7518 -7.8612 1.4931 +v 2.2449 -7.8452 1.5568 +v 2.3804 -7.8562 1.5307 +v 2.5158 -7.8630 1.5112 +v 2.7446 -7.9693 1.4374 +v 1.8623 -8.2097 1.3743 +v 1.7239 -8.0981 1.3798 +v 1.6950 -7.9640 1.4221 +v 2.7173 -8.1048 1.3799 +v 2.5614 -8.1624 1.3539 +v 2.3283 -8.1931 1.3499 +v 2.0862 -8.2206 1.3637 +v 1.8620 -7.8257 1.5398 +v 2.6453 -7.8957 1.4965 +v 2.1206 -7.8339 1.5623 +v 2.1457 -7.7169 1.3088 +v 2.6665 -7.8544 1.2025 +v 1.8484 -7.7192 1.2784 +v 2.0785 -8.2059 1.0863 +v 2.3362 -8.2049 1.0678 +v 2.5675 -8.1687 1.0515 +v 2.7241 -8.0951 1.0746 +v 1.7012 -7.9082 1.1503 +v 1.7387 -8.0498 1.1090 +v 1.8611 -8.1705 1.0970 +v 2.7373 -7.9329 1.1360 +v 2.5485 -7.8220 1.2435 +v 2.4098 -7.8213 1.2674 +v 2.2790 -7.7594 1.2943 +v 1.7600 -7.7847 1.2371 +v 2.0119 -7.7136 1.3023 +v 2.0126 -7.6071 1.0710 +v 1.8007 -7.7273 0.9515 +v 2.2688 -7.6929 1.0460 +v 2.3918 -7.7231 1.0223 +v 2.5209 -7.7334 0.9923 +v 2.7257 -7.8811 0.7956 +v 1.8858 -8.1136 0.8297 +v 1.7955 -7.9997 0.8295 +v 1.7635 -7.8296 0.8507 +v 2.7311 -8.1100 0.7465 +v 2.5570 -8.1695 0.7547 +v 2.3354 -8.1929 0.7841 +v 2.0779 -8.1562 0.8150 +v 1.9403 -7.3061 0.4120 +v 1.9336 -7.4047 0.5725 +v 1.8885 -7.6309 1.0445 +v 2.6533 -7.7581 0.9278 +v 2.5126 -7.5701 0.4677 +v 2.4712 -7.3967 0.3657 +v 2.1408 -7.6175 1.0772 +v 2.1326 -7.4997 0.8129 +v 2.6040 -7.6832 0.6481 +v 1.9245 -7.5295 0.7619 +v 2.0742 -8.1311 0.5515 +v 2.3335 -8.1781 0.5196 +v 2.5273 -8.1568 0.4910 +v 2.6798 -8.0843 0.4790 +v 2.1199 -7.3652 0.6461 +v 2.1077 -7.2667 0.5319 +v 1.7846 -7.7157 0.5731 +v 1.8152 -7.9526 0.5624 +v 1.9063 -8.0700 0.5689 +v 2.6961 -7.8233 0.5279 +v 2.4750 -7.6093 0.7269 +v 2.3602 -7.5690 0.7626 +v 2.2475 -7.5314 0.7913 +v 1.8452 -7.6101 0.6829 +v 2.0207 -7.4843 0.8080 +v 1.9496 -8.0331 1.9911 +v 2.4521 -8.0122 1.9053 +v 2.1107 -8.0132 2.0034 +v 2.2448 -7.9442 2.0022 +v 2.3001 -8.0040 1.9646 +v 2.1661 -7.9480 2.0158 +v 1.8795 5.6996 0.4059 +v 1.8025 5.6103 0.6705 +v 1.4565 5.1687 0.9139 +v 1.3522 4.9497 0.9769 +v 2.2353 -4.9988 -0.5711 +v 1.2699 4.7635 1.0398 +v 1.1986 4.5963 1.1110 +v 1.4817 5.6777 0.6667 +v 1.5330 5.7736 0.4095 +v 1.2476 5.2501 0.9696 +v 1.1520 5.0232 1.0510 +v 2.2647 -5.3768 -0.5385 +v 1.0680 4.8502 1.1478 +v 1.0131 4.6799 1.2367 +v 1.2186 5.6316 0.6163 +v 1.2711 5.7223 0.3719 +v 1.0128 5.2761 0.9873 +v 0.9216 5.0588 1.0931 +v 2.2896 -5.7494 -0.4688 +v 0.8365 4.8787 1.1813 +v 0.7779 4.7042 1.2658 +v 0.9861 5.6031 0.5433 +v 1.0497 5.6783 0.3259 +v 0.6399 5.2709 1.0241 +v 0.6055 5.0518 1.1133 +v 0.5610 4.8794 1.1858 +v 0.5230 4.7095 1.2607 +v 1.4506 3.9606 0.0451 +v 1.1333 4.0205 -0.2745 +v 0.9483 4.0326 -0.3792 +v 0.7485 4.0544 -0.4254 +v 1.3448 0.7617 -0.6719 +v 2.5449 4.7974 0.3545 +v 2.4117 4.7668 0.5287 +v 1.8383 4.5044 0.4349 +v 2.6509 4.6224 0.3729 +v 2.5309 4.5862 0.5388 +v 1.9836 4.3251 0.4329 +v 2.1452 5.4689 0.3690 +v 2.0163 5.3683 0.6094 +v 1.5944 4.9699 0.8101 +v 1.4902 4.7915 0.8533 +v 1.3800 0.3590 -0.7554 +v 1.4120 4.6585 0.8941 +v 1.3470 4.5005 0.9495 +v 2.4597 4.9526 0.3581 +v 2.3061 4.9184 0.5327 +v 1.7356 4.6491 0.4799 +v 1.6005 4.5709 0.4551 +v 1.6705 -1.8605 -0.3854 +v 1.5273 4.4647 0.4716 +v 1.4894 4.3512 0.5046 +v 0.0000 5.2054 1.0033 +v 0.5466 4.0720 -0.4350 +v 0.3516 4.0774 -0.4477 +v 1.7079 -2.2994 -0.3089 +v 0.0000 4.0763 -0.4533 +v 0.0000 4.7053 1.1906 +v 0.0000 4.8523 1.1336 +v 0.0000 5.0065 1.0744 +v 1.0205 5.5886 -0.4172 +v 1.0838 5.7275 -0.2056 +v 1.0879 5.7501 -0.0287 +v 1.0809 5.7263 0.1288 +v 0.3584 3.7537 1.6621 +v 1.1805 5.5112 -0.4344 +v 1.2596 5.6825 -0.2664 +v 1.2817 5.7546 -0.0465 +v 1.2747 5.7316 0.1409 +v 1.2809 5.2252 -0.5358 +v 1.0825 4.5025 -0.5324 +v 1.0381 4.3197 -0.5002 +v 1.0476 5.2347 -0.5815 +v 0.8495 4.5237 -0.5811 +v 0.8116 4.3443 -0.5273 +v 0.7913 5.2493 -0.5819 +v 0.6164 4.5372 -0.5542 +v 0.5896 4.3604 -0.5193 +v 0.4228 5.0868 -0.5542 +v 0.3932 4.5373 -0.5359 +v 0.3777 4.3682 -0.4951 +v 0.0000 5.0519 -0.5423 +v 0.0000 4.5342 -0.5077 +v 0.0000 4.3664 -0.4874 +v 1.3973 5.4945 -0.4366 +v 1.4798 5.6755 -0.3167 +v 1.5191 5.7616 -0.0858 +v 1.5271 5.7787 0.1491 +v 1.6783 5.4538 -0.4196 +v 1.8022 5.5986 -0.3342 +v 1.8432 5.6831 -0.1197 +v 1.8771 5.7124 0.1329 +v 0.4972 3.7346 -0.3625 +v 1.4933 5.1958 -0.5067 +v 1.5574 4.3337 -0.0749 +v 1.5220 4.2267 -0.0203 +v 1.8394 5.2657 -0.4120 +v 1.9920 5.3825 -0.2971 +v 2.1079 5.4469 -0.1034 +v 2.1513 5.4739 0.1181 +v 1.6570 5.0777 -0.4644 +v 0.3183 3.7478 -0.3855 +v 1.5967 4.4338 -0.1634 +v 1.5515 4.3910 0.2060 +v 1.5257 4.2749 0.2446 +v 2.1099 4.8639 -0.3447 +v 2.2866 4.9230 -0.2563 +v 2.4073 4.9434 -0.1072 +v 2.4701 4.9634 0.0869 +v 1.9109 4.7554 -0.3731 +v 1.5743 -0.8215 -0.5312 +v 1.6814 4.4060 -0.1195 +v 1.7041 4.5075 0.1736 +v 2.2263 4.6852 -0.3168 +v 2.3887 4.7384 -0.2347 +v 2.5027 4.7828 -0.1004 +v 2.5506 4.7988 0.0849 +v 2.0356 4.5982 -0.3384 +v 1.7433 4.3232 -0.1002 +v 1.7870 4.4117 0.1693 +v 2.3777 4.4814 -0.2995 +v 2.5187 4.5414 -0.2170 +v 2.6219 4.5957 -0.0902 +v 2.6695 4.6220 0.0951 +v 2.1758 4.4172 -0.3285 +v 1.8545 4.1962 -0.0743 +v 1.9032 4.2713 0.1859 +v 1.6020 4.4852 0.1695 +v 1.7591 -3.0225 -0.2662 +v 2.3448 -6.2294 -0.3887 +v 1.7890 4.9063 -0.4174 +v 2.2713 5.1913 -0.1042 +v 2.3298 5.2002 0.0978 +v 2.1568 5.1395 -0.2784 +v 2.0037 5.0420 -0.3771 +v 2.1960 5.1153 0.5636 +v 2.3460 5.1995 0.3453 +v 1.4863 -0.5885 -0.5547 +v 1.5579 4.6653 0.6769 +v 1.6796 4.7724 0.6729 +v 1.4432 4.4069 0.7452 +v 1.4947 4.5485 0.7021 +v 1.2381 4.3020 -0.3859 +v 1.2949 4.4587 -0.4439 +v 1.3630 -0.0288 -0.7225 +v 2.7863 4.4442 0.3882 +v 2.6625 4.3934 0.5703 +v 2.1606 4.1031 0.4665 +v 2.5571 4.2711 -0.2848 +v 2.6723 4.3482 -0.1901 +v 2.7670 4.4034 -0.0624 +v 2.8103 4.4379 0.1315 +v 2.3737 4.1995 -0.3183 +v 1.3973 -0.3456 -0.6165 +v 2.0017 4.0143 -0.0585 +v 2.0514 4.0611 0.2221 +v 2.9087 4.2851 0.4245 +v 2.7879 4.2190 0.5892 +v 2.3432 3.8904 0.4724 +v 2.7136 4.1053 -0.2748 +v 2.8083 4.1853 -0.1727 +v 2.8987 4.2478 -0.0335 +v 2.9377 4.2798 0.1416 +v 2.5461 4.0250 -0.3081 +v 1.2927 1.4830 -0.4337 +v 2.2233 3.8307 -0.0724 +v 2.2384 3.8360 0.2329 +v 3.0122 4.1439 0.4329 +v 2.8866 4.0572 0.5850 +v 2.4769 3.7261 0.4597 +v 2.8541 3.9752 -0.2463 +v 2.9399 4.0504 -0.1498 +v 3.0191 4.1106 -0.0132 +v 3.0490 4.1424 0.1614 +v 2.6970 3.8761 -0.2850 +v 2.3704 3.6794 -0.0618 +v 2.3702 3.6586 0.2409 +v 0.0000 3.8601 -0.4189 +v 0.3284 3.8536 -0.4087 +v 0.5125 3.8423 -0.3850 +v 0.6981 3.8245 -0.3499 +v 0.8783 3.8039 -0.2850 +v 1.0486 3.7827 -0.1884 +v 1.3470 3.7385 0.1090 +v 1.3737 3.7635 0.3590 +v 1.3671 3.8012 0.6249 +v 1.2077 3.9551 1.1676 +v 1.3125 3.8750 0.9061 +v 0.7395 4.5178 1.3413 +v 0.4877 4.5285 1.3300 +v 0.0000 4.5352 1.3279 +v 0.0000 3.5652 1.6749 +v 0.3398 3.5347 1.6610 +v 0.5393 3.4979 1.6281 +v 0.7521 3.4774 1.5801 +v 0.9642 3.4296 1.4617 +v 1.1126 3.3791 1.2461 +v 1.1665 3.7207 1.2453 +v 1.2868 4.3530 1.0112 +v 1.1514 4.4307 1.1865 +v 0.9811 4.4829 1.3278 +v 0.0000 5.3529 0.9186 +v 0.9147 5.6854 0.2824 +v 0.5139 5.4072 0.9612 +v 0.8331 5.6026 0.4538 +v 3.1055 4.0382 0.4495 +v 2.9889 3.9232 0.5801 +v 2.6176 3.5899 0.4374 +v 2.9966 3.8497 -0.2195 +v 3.0624 3.9285 -0.0963 +v 3.1243 3.9925 0.0305 +v 3.1388 4.0294 0.1952 +v 2.8547 3.7535 -0.2788 +v 1.7913 -3.2989 -0.2577 +v 2.5238 3.5507 -0.0294 +v 2.5145 3.5320 0.2477 +v 0.0000 4.4049 1.4071 +v 1.8266 -3.5315 -0.2729 +v 3.1803 3.9504 0.4690 +v 3.0706 3.8327 0.6003 +v 2.7423 3.4915 0.4227 +v 3.2027 3.6525 -0.1321 +v 3.2458 3.7467 -0.0400 +v 3.2762 3.8428 0.0743 +v 3.2563 3.9055 0.2459 +v 0.4593 4.4098 1.4016 +v 3.0809 3.5413 -0.2188 +v 2.6966 3.3983 -0.0309 +v 2.6379 3.4010 0.2364 +v 0.7068 4.3820 1.3908 +v 1.2399 1.7665 -0.2650 +v 3.2534 3.8775 0.5036 +v 3.1415 3.7666 0.6252 +v 2.8537 3.4000 0.4679 +v 3.3604 3.4929 -0.0179 +v 3.3979 3.5986 0.0616 +v 3.4028 3.7073 0.1651 +v 3.3658 3.8087 0.3086 +v 0.9601 4.3543 1.3839 +v 3.2624 3.3644 -0.1023 +v 2.8594 3.2600 0.0419 +v 2.7643 3.2828 0.3038 +v 3.3499 3.7908 0.5670 +v 3.2024 3.7198 0.6628 +v 2.8970 3.3294 0.5086 +v 3.4778 3.3862 0.0907 +v 3.5146 3.4930 0.1734 +v 3.5146 3.6002 0.2900 +v 3.4773 3.7101 0.4216 +v 1.1352 4.2812 1.2682 +v 3.3697 3.2505 0.0236 +v 2.9650 3.1717 0.1506 +v 2.8593 3.1844 0.3761 +v 3.4910 3.6589 0.6537 +v 3.3058 3.6478 0.7430 +v 2.9542 3.2404 0.6482 +v 3.6164 3.2536 0.2233 +v 3.6597 3.3625 0.2959 +v 3.6680 3.4672 0.3994 +v 3.6258 3.5756 0.5135 +v 1.3507 4.1249 0.8440 +v 3.4825 3.1315 0.1771 +v 1.3200 1.1449 -0.5737 +v 3.0638 3.0529 0.3189 +v 2.9533 3.0983 0.5132 +v 3.6506 3.4925 0.8118 +v 3.4642 3.4902 0.8951 +v 3.0884 3.0973 0.8503 +v 3.7608 3.1035 0.4326 +v 3.8036 3.2074 0.5004 +v 3.8012 3.3098 0.5901 +v 3.7676 3.4033 0.6853 +v 1.2535 4.2060 1.0835 +v 3.6198 2.9878 0.3863 +v 3.2093 2.9038 0.5318 +v 3.0964 2.9615 0.7155 +v 3.7862 3.2927 1.0151 +v 3.6213 3.2812 1.0772 +v 3.2918 2.9585 1.0309 +v 3.9140 2.9577 0.6637 +v 3.9515 3.0550 0.7366 +v 3.9500 3.1461 0.8144 +v 3.9091 3.2325 0.9080 +v 3.7813 2.8383 0.6177 +v 1.6406 -1.4356 -0.4532 +v 3.3795 2.7660 0.7701 +v 3.2936 2.8357 0.9176 +v 3.9303 3.1093 1.2384 +v 3.7801 3.1010 1.2956 +v 3.4801 2.8235 1.2326 +v 4.0770 2.8191 0.9003 +v 4.1043 2.9074 0.9735 +v 4.0975 2.9960 1.0470 +v 4.0523 3.0631 1.1418 +v 3.9750 2.6977 0.8554 +v 1.1033 3.3904 0.0014 +v 3.5665 2.6345 1.0179 +v 3.4853 2.7112 1.1305 +v 4.0673 2.9576 1.4430 +v 3.9271 2.9425 1.4914 +v 3.6471 2.7055 1.4204 +v 4.2218 2.6899 1.1287 +v 4.2411 2.7783 1.2051 +v 4.2198 2.8580 1.2715 +v 4.1735 2.9092 1.3634 +v 1.4058 4.0611 0.5744 +v 4.1287 2.5753 1.0896 +v 1.1704 3.6460 -0.0322 +v 3.7435 2.5124 1.2340 +v 3.6625 2.5976 1.3241 +v 4.2617 2.6890 1.7725 +v 4.1328 2.6787 1.8230 +v 3.8731 2.4914 1.7275 +v 4.4322 2.4236 1.5080 +v 4.4446 2.5241 1.5739 +v 4.4055 2.6081 1.6434 +v 4.3565 2.6502 1.7063 +v 4.3546 2.3230 1.4754 +v 1.0300 3.0500 0.0267 +v 3.9629 2.3051 1.5352 +v 3.8783 2.3911 1.6359 +v 4.3329 2.5581 1.9122 +v 4.2292 2.5548 1.9619 +v 4.0438 2.3300 1.9640 +v 4.5158 2.3122 1.6580 +v 4.5248 2.4091 1.7065 +v 4.4748 2.4932 1.8016 +v 4.4201 2.5291 1.8538 +v 1.4464 4.0136 0.3036 +v 4.4431 2.2099 1.6373 +v 1.0206 2.8210 0.0173 +v 4.1399 2.1421 1.7961 +v 4.0648 2.2231 1.8823 +v 0.8646 5.5107 0.8453 +v 1.1232 5.4839 0.8429 +v 1.3519 5.4718 0.8523 +v 1.6197 5.3914 0.8438 +v 1.7869 5.1829 0.7370 +v 1.9197 4.9590 0.6676 +v 1.9796 4.8310 0.6368 +v 2.0982 4.6596 0.6383 +v 2.2566 4.4650 0.6242 +v 2.4219 4.2600 0.6192 +v 2.5779 4.0592 0.6266 +v 2.6770 3.8835 0.6180 +v 2.7949 3.7339 0.5990 +v 3.9647 2.6087 1.8072 +v 4.0965 2.4604 1.9967 +v 3.7408 2.8395 1.4781 +v 1.1343 4.6947 -0.5626 +v 0.8966 4.7264 -0.6099 +v 0.6526 4.7339 -0.5868 +v 0.4122 4.7201 -0.5595 +v 0.0000 4.7043 -0.5255 +v 1.0385 2.5501 -0.0121 +v 1.2946 4.0041 -0.1269 +v 1.3640 4.1222 -0.1932 +v 1.1372 3.5257 -0.0153 +v 1.3388 4.6440 -0.4921 +v 1.0585 3.2366 0.0229 +v 1.0854 2.2798 -0.0559 +v 1.1605 2.0228 -0.1370 +v 1.4915 4.5676 -0.3738 +v 1.4617 4.4003 -0.3014 +v 1.4128 4.2610 -0.2379 +v 1.2054 3.7624 -0.0583 +v 0.0000 4.8669 -0.5327 +v 0.4316 4.9114 -0.5615 +v 0.7029 4.9617 -0.6542 +v 0.9572 4.9655 -0.6315 +v 1.1843 4.9590 -0.5734 +v 1.3716 4.9272 -0.5238 +v 1.8869 -3.7694 -0.3169 +v 1.9434 -3.9552 -0.3805 +v 2.0070 -4.1307 -0.4153 +v 1.7492 4.6142 -0.3203 +v 1.8516 4.4651 -0.2848 +v 1.9930 4.3187 -0.2585 +v 1.6333 4.7184 -0.3710 +v 2.1816 4.1080 -0.2726 +v 2.3620 3.9268 -0.2800 +v 2.5290 3.7661 -0.2631 +v 2.6792 3.6506 -0.2352 +v 2.8620 3.4696 -0.1845 +v 3.0411 3.2906 -0.0741 +v 3.1539 3.1803 0.0595 +v 3.2798 3.0541 0.2096 +v 3.4208 2.9089 0.4101 +v 3.5788 2.7613 0.6477 +v 3.7723 2.6030 0.9097 +v 3.9622 2.4738 1.1413 +v 4.1698 2.2845 1.4304 +v 4.3239 2.1238 1.6675 +v 2.1498 -4.6377 -0.5367 +v 3.4043 3.1276 1.0975 +v 3.5834 2.9741 1.2914 +v 3.2095 3.2950 0.9235 +v 3.0606 3.4561 0.7673 +v 2.9976 3.5467 0.6822 +v 2.9569 3.6041 0.6419 +v 2.8798 3.6720 0.6099 +v 1.4436 4.2105 0.5400 +v 0.9904 4.1679 -0.4319 +v 0.7778 4.1910 -0.4677 +v 0.5672 4.2044 -0.4824 +v 0.3639 4.2128 -0.4706 +v 0.0000 4.2109 -0.4691 +v 1.5062 4.0848 0.0111 +v 1.4847 4.1481 0.2769 +v 1.1826 4.1567 -0.3273 +v 1.3350 3.5710 0.6685 +v 0.8304 3.5695 -0.2397 +v 0.6609 3.5939 -0.3041 +v 0.4841 3.6170 -0.3371 +v 0.3096 3.6327 -0.3599 +v 1.2741 3.5167 0.1505 +v 1.3152 3.5319 0.4066 +v 0.9905 3.5452 -0.1471 +v 1.3049 3.2760 0.7029 +v 0.7895 3.2761 -0.2001 +v 0.6291 3.2997 -0.2473 +v 0.4653 3.3194 -0.2850 +v 0.2997 3.3351 -0.3078 +v 0.0000 3.3496 -0.3243 +v 1.1677 3.2288 0.2059 +v 1.2505 3.2403 0.4395 +v 0.9360 3.2536 -0.1146 +v 1.3322 3.0671 0.7171 +v 0.7696 3.0860 -0.1805 +v 0.6199 3.1045 -0.2337 +v 0.4615 3.1204 -0.2695 +v 0.2997 3.1326 -0.2923 +v 1.1309 3.0438 0.2081 +v 1.2012 3.0618 0.4343 +v 0.9076 3.0667 -0.0995 +v 1.3425 2.9004 0.7198 +v 0.7627 2.8510 -0.1828 +v 0.6176 2.8652 -0.2353 +v 0.4636 2.8768 -0.2712 +v 0.3042 2.8850 -0.2950 +v 1.1232 2.8181 0.1916 +v 1.1941 2.8683 0.4250 +v 0.8979 2.8355 -0.1040 +v 1.3788 2.5308 0.7049 +v 0.7698 2.5799 -0.2029 +v 0.6246 2.5907 -0.2559 +v 0.4718 2.5994 -0.2933 +v 0.3124 2.6050 -0.3188 +v 1.1501 2.5234 0.1352 +v 1.2492 2.5372 0.3876 +v 0.9084 2.5670 -0.1257 +v 1.4620 2.2394 0.6803 +v 0.4950 2.1849 1.5141 +v 0.0000 2.1798 1.5953 +v 1.3265 2.2538 0.3572 +v 0.9405 2.2928 -0.1705 +v 0.3051 2.1841 1.5570 +v 1.3874 4.2655 0.7924 +v 1.2837 3.6495 0.9578 +v 1.2571 3.1044 1.0017 +v 1.2460 3.3350 0.9801 +v 0.7185 3.1864 1.5407 +v 0.9142 3.1566 1.4103 +v 1.1366 2.2224 1.1568 +v 0.0000 2.5322 1.6258 +v 0.0000 2.8994 1.6521 +v 0.3060 2.5377 1.6000 +v 0.7009 2.8787 1.5113 +v 0.9003 2.8714 1.3781 +v 1.0944 2.5466 1.1759 +v 0.4897 2.5364 1.5595 +v 0.0000 3.2558 1.6713 +v 0.6989 2.5340 1.4741 +v 0.9077 2.5400 1.3436 +v 1.0683 2.8678 1.2021 +v 0.5125 3.2143 1.6180 +v 0.3112 2.8986 1.6372 +v 0.7125 2.1894 1.4283 +v 0.9343 2.2043 1.3081 +v 1.0737 3.1291 1.2382 +v 0.4956 2.8903 1.5962 +v 0.3224 3.2382 1.6571 +v 1.2753 2.8836 0.9914 +v 1.3058 2.5411 0.9675 +v 1.3576 2.2242 0.9576 +v 1.2219 2.2621 0.0983 +v 0.0000 1.8386 1.5466 +v 0.0000 1.4935 1.4930 +v 1.5241 2.0034 0.6483 +v 1.4427 2.0292 0.3016 +v 0.5104 1.8559 1.4641 +v 0.3119 1.8477 1.5107 +v 1.1939 1.9373 1.1549 +v 0.7375 1.8715 1.3838 +v 0.9684 1.8994 1.2763 +v 1.3837 1.9719 0.9501 +v 0.3203 2.3269 -0.3619 +v 0.7916 2.3037 -0.2475 +v 0.6397 2.3134 -0.3000 +v 0.4827 2.3214 -0.3368 +v 1.2266 1.6499 1.1121 +v 0.3262 1.5186 1.4662 +v 0.5287 1.5411 1.4122 +v 1.5349 1.7605 0.2328 +v 1.5499 1.7453 0.5956 +v 1.4280 1.7074 0.9396 +v 0.9955 1.6041 1.2319 +v 0.7589 1.5682 1.3272 +v 1.3455 2.0297 0.0251 +v 1.4480 1.7604 -0.0576 +v 0.8228 2.0353 -0.3249 +v 0.6582 2.0455 -0.3734 +v 0.4919 2.0546 -0.4040 +v 0.3237 2.0622 -0.4227 +v 0.8680 1.7805 -0.4365 +v 0.6892 1.7966 -0.4730 +v 0.5146 1.8051 -0.4894 +v 0.3288 1.8148 -0.4997 +v 0.0000 1.8469 -0.4889 +v 0.8805 1.4820 -0.6065 +v 0.6832 1.4923 -0.6362 +v 0.4913 1.5024 -0.6343 +v 0.3035 1.5154 -0.6117 +v 0.9880 2.0257 -0.2485 +v 1.0495 1.7674 -0.3708 +v 0.9002 1.1885 -0.8250 +v 0.6828 1.1958 -0.8351 +v 0.4791 1.2030 -0.8051 +v 0.2836 1.2066 -0.7529 +v 0.0000 1.2174 -0.6859 +v 1.4929 1.1333 -0.2654 +v 1.1156 1.1643 -0.7155 +v 0.8979 0.7991 -1.0061 +v 0.6633 0.8093 -1.0236 +v 0.4544 0.8035 -0.9697 +v 0.2543 0.8053 -0.9184 +v 1.5398 0.7381 -0.3443 +v 1.1408 0.7841 -0.9009 +v 0.8827 0.3693 -1.0579 +v 0.6345 0.3725 -1.0903 +v 0.4265 0.3648 -1.0424 +v 0.2108 0.3607 -1.0170 +v 1.5933 0.3379 -0.3933 +v 1.1451 0.3647 -0.9581 +v 0.8454 -0.0383 -0.9579 +v 0.5858 -0.0640 -0.9543 +v 0.3942 -0.0551 -0.8952 +v 0.1801 -0.0814 -0.8459 +v 1.6333 -0.0240 -0.3913 +v 0.8076 -0.3923 -0.8061 +v 0.4947 -0.4867 -0.6486 +v 0.3078 -0.4372 -0.6000 +v 0.1615 -0.3739 -0.5023 +v 1.1117 -0.0322 -0.8737 +v 1.6758 -0.3164 -0.3571 +v 0.1184 -0.4847 -0.1924 +v 1.1058 -0.3746 -0.7407 +v 1.6569 1.1195 0.0522 +v 1.7628 1.1311 0.4638 +v 1.6188 1.0796 0.8979 +v 1.6896 0.7189 0.0076 +v 1.7870 0.6926 0.4373 +v 1.6579 0.6541 0.8903 +v 1.7654 0.3180 0.0367 +v 1.8096 0.3003 0.4675 +v 1.7177 0.2722 0.9012 +v 1.8086 -0.0503 0.0687 +v 1.8932 -0.0414 0.5076 +v 1.7859 -0.0210 0.9527 +v 1.8728 -0.3059 0.1059 +v 1.9544 -0.3048 0.5386 +v 0.8726 -0.4820 1.1981 +v 1.3223 0.9888 1.1111 +v 0.3567 0.7253 1.3993 +v 0.5474 0.8123 1.3515 +v 1.0604 0.9306 1.1833 +v 0.7960 0.8728 1.2637 +v 1.3572 0.6038 1.1223 +v 0.3403 0.3079 1.3046 +v 0.5396 0.3877 1.2806 +v 1.0794 0.5463 1.1901 +v 0.8110 0.4675 1.2297 +v 1.4222 0.2291 1.1494 +v 0.2698 -0.0752 1.1469 +v 0.4874 0.0030 1.1262 +v 1.1108 0.1761 1.2225 +v 0.7943 0.1023 1.2028 +v 0.2336 -0.2158 1.0603 +v 1.4786 -0.0451 1.1916 +v 0.4515 -0.3043 1.0418 +v 1.1533 -0.1116 1.2262 +v 0.8195 -0.1931 1.1875 +v 1.0217 1.2996 1.2010 +v 0.7806 1.2399 1.2940 +v 0.3481 1.1421 1.4358 +v 1.2698 1.3576 1.1058 +v 0.5480 1.1920 1.3810 +v 0.1779 -0.3469 0.8467 +v 0.1342 -0.4152 0.6123 +v 0.1362 -0.4646 0.2366 +v 0.1166 -0.4778 0.0307 +v 1.0812 1.4723 -0.5297 +v 1.4903 1.4739 -0.1819 +v 1.6242 1.4608 0.1310 +v 1.5695 1.4262 0.9181 +v 1.6885 1.4643 0.5188 +v 1.2114 -0.4093 1.2529 +v 0.5262 -0.5726 1.0879 +v 1.5387 -0.3440 1.2232 +v 1.8519 -0.3055 0.9858 +v 0.2732 -0.4767 0.8401 +v 0.2091 -0.5840 0.5645 +v 0.2173 -0.6635 0.1644 +v 0.2781 -0.6667 -0.0759 +v 0.3335 -0.6649 0.8371 +v 0.2382 -0.7136 0.5658 +v 0.2503 -0.7949 0.1332 +v 0.3380 -0.7680 -0.1061 +v 0.2790 -0.6142 -0.3576 +v 0.4071 -0.7292 -0.3743 +v 0.9672 -0.7427 -0.6513 +v 0.7338 -0.8411 -0.5275 +v 0.9239 -0.7824 1.1762 +v 1.7771 -0.5313 -0.3160 +v 1.2136 -0.6509 -0.6394 +v 1.9185 -0.5065 0.1192 +v 2.0176 -0.5104 0.5543 +v 1.2655 -0.6739 1.2489 +v 0.6193 -0.8799 1.0795 +v 1.6016 -0.5934 1.2360 +v 1.9062 -0.5390 0.9781 +v 0.4274 -0.9819 0.8358 +v 0.3471 -1.0404 0.5698 +v 0.3599 -1.1019 0.0683 +v 0.4434 -1.0449 -0.1335 +v 0.5437 -0.9711 -0.3502 +v 1.0605 -0.9904 -0.6205 +v 0.8398 -1.1225 -0.4993 +v 0.9825 -1.0890 1.1873 +v 1.8363 -0.7730 -0.2939 +v 1.3242 -0.8953 -0.6223 +v 1.9763 -0.7484 0.1213 +v 2.0526 -0.7574 0.5632 +v 1.3255 -0.9739 1.2496 +v 0.7034 -1.1928 1.0682 +v 1.6619 -0.8658 1.2267 +v 1.9299 -0.7832 0.9693 +v 0.5212 -1.2750 0.8241 +v 0.4377 -1.3560 0.5675 +v 0.4560 -1.3525 0.0614 +v 0.5481 -1.2999 -0.1428 +v 0.6518 -1.2263 -0.3606 +v 1.2493 -2.0156 -0.4837 +v 1.0586 -2.1081 -0.4203 +v 1.2056 -2.0462 1.1431 +v 1.8526 -1.8270 -0.2152 +v 1.4594 -1.9267 -0.4791 +v 1.9828 -1.8211 0.1444 +v 2.0290 -1.8021 0.5141 +v 1.5105 -1.9401 1.1650 +v 0.9365 -2.1300 1.0478 +v 1.7815 -1.8602 1.1057 +v 1.9646 -1.8129 0.8908 +v 0.7587 -2.2090 0.7974 +v 0.6883 -2.2644 0.5481 +v 0.6918 -2.2838 0.0979 +v 0.7462 -2.2580 -0.1034 +v 0.8708 -2.1919 -0.2779 +v 1.3266 -2.4369 -0.3981 +v 1.1456 -2.5130 -0.3375 +v 1.2771 -2.4325 1.0989 +v 1.8659 -2.2559 -0.1642 +v 1.5244 -2.3601 -0.3954 +v 1.9926 -2.2277 0.1293 +v 2.0107 -2.2256 0.4691 +v 1.5588 -2.3404 1.1173 +v 1.0417 -2.4948 1.0156 +v 1.7917 -2.2801 1.0419 +v 1.9524 -2.2360 0.8102 +v 0.8665 -2.5810 0.7951 +v 0.7982 -2.6385 0.5559 +v 0.7764 -2.6729 0.1156 +v 0.8184 -2.6550 -0.0818 +v 0.9618 -2.5886 -0.2579 +v 1.4325 -3.1229 -0.3618 +v 1.2651 -3.1942 -0.3178 +v 1.3843 -3.1032 0.9240 +v 1.8861 -2.9810 -0.1274 +v 1.6016 -3.0719 -0.3368 +v 1.9722 -2.9519 0.1017 +v 1.9962 -2.9496 0.3927 +v 1.6104 -3.0462 0.9423 +v 1.2001 -3.1635 0.8789 +v 1.7861 -3.0043 0.8420 +v 1.9398 -2.9648 0.6721 +v 1.0424 -3.2398 0.7246 +v 0.9735 -3.2859 0.5341 +v 0.9461 -3.3040 0.1398 +v 1.0042 -3.2890 -0.0440 +v 1.1181 -3.2558 -0.1930 +v 1.4598 -3.3944 -0.3675 +v 1.3000 -3.4631 -0.3144 +v 1.4654 -3.3972 0.9380 +v 1.9255 -3.2597 -0.1304 +v 1.6325 -3.3418 -0.3447 +v 2.0116 -3.2410 0.0979 +v 2.0257 -3.2537 0.3598 +v 1.6499 -3.3501 0.8963 +v 1.2734 -3.4573 0.8760 +v 1.8005 -3.3098 0.7869 +v 1.9260 -3.2785 0.6209 +v 1.1314 -3.5263 0.6955 +v 1.0456 -3.5730 0.4974 +v 0.9908 -3.5891 0.1129 +v 1.0661 -3.5682 -0.0394 +v 1.1616 -3.5285 -0.1869 +v 1.4869 -3.6284 -0.3927 +v 1.3296 -3.6729 -0.3209 +v 1.5152 -3.6602 0.9236 +v 1.9604 -3.4943 -0.1372 +v 1.6686 -3.5679 -0.3732 +v 2.0439 -3.4863 0.0804 +v 2.0591 -3.4902 0.3366 +v 1.6954 -3.6149 0.9013 +v 1.3199 -3.7005 0.8601 +v 1.8400 -3.5762 0.7861 +v 1.9737 -3.5310 0.5970 +v 1.1704 -3.7637 0.6894 +v 1.0672 -3.8048 0.4970 +v 1.0322 -3.7820 0.0969 +v 1.1053 -3.7538 -0.0537 +v 1.1918 -3.7190 -0.2005 +v 1.5287 -3.8772 -0.4423 +v 1.3702 -3.9522 -0.3760 +v 1.5763 -3.9273 0.8521 +v 2.0208 -3.7199 -0.1565 +v 1.7120 -3.8153 -0.4269 +v 2.0904 -3.7117 0.0631 +v 2.0983 -3.7248 0.3030 +v 1.7390 -3.8741 0.8365 +v 1.4078 -3.9934 0.7684 +v 1.8770 -3.8263 0.7490 +v 1.9974 -3.7637 0.5286 +v 1.2713 -4.0596 0.6063 +v 1.1705 -4.1023 0.4341 +v 1.1396 -4.1067 0.0524 +v 1.1773 -4.0745 -0.1139 +v 1.2523 -4.0236 -0.2565 +v 1.5706 -4.0829 -0.4935 +v 1.3995 -4.1560 -0.4270 +v 1.6272 -4.1540 0.7450 +v 2.0843 -3.9143 -0.1995 +v 1.7511 -4.0169 -0.4779 +v 2.1512 -3.9119 0.0261 +v 2.1517 -3.9304 0.2741 +v 1.7666 -4.0973 0.7495 +v 1.5033 -4.2006 0.6895 +v 1.9025 -4.0435 0.6900 +v 2.0563 -3.9744 0.4913 +v 1.3660 -4.2828 0.5355 +v 1.2662 -4.3215 0.3763 +v 1.2018 -4.3110 0.0269 +v 1.2365 -4.2787 -0.1473 +v 1.2924 -4.2339 -0.2951 +v 1.5981 -4.2934 -0.5528 +v 1.4308 -4.3798 -0.4890 +v 1.6716 -4.3818 0.6390 +v 2.1649 -4.1039 -0.2320 +v 1.7949 -4.2230 -0.5333 +v 2.2356 -4.1032 0.0038 +v 2.2100 -4.1269 0.2524 +v 1.7930 -4.3162 0.6618 +v 1.5629 -4.4374 0.5846 +v 1.9310 -4.2525 0.6311 +v 2.1005 -4.1802 0.4624 +v 1.4424 -4.5064 0.4742 +v 1.3405 -4.5455 0.3404 +v 1.2424 -4.5441 0.0026 +v 1.2521 -4.5132 -0.1858 +v 1.3110 -4.4653 -0.3463 +v 1.6722 -4.8363 -0.6756 +v 1.5003 -4.9176 -0.5951 +v 1.7645 -4.8921 0.5115 +v 2.3628 -4.5945 -0.3307 +v 1.9171 -4.7473 -0.6709 +v 2.4264 -4.5870 -0.0630 +v 2.3631 -4.6065 0.2062 +v 1.8882 -4.8225 0.5653 +v 1.6743 -4.9462 0.4595 +v 2.0371 -4.7451 0.5279 +v 2.2112 -4.6745 0.3988 +v 1.5869 -4.9991 0.3743 +v 1.4948 -5.0375 0.2696 +v 1.3347 -5.0539 -0.0405 +v 1.3230 -5.0214 -0.2543 +v 1.3861 -4.9805 -0.4319 +v 1.7562 -5.1607 -0.6804 +v 1.5655 -5.2319 -0.6083 +v 1.8090 -5.1930 0.4747 +v 2.4501 -4.9382 -0.3671 +v 2.0043 -5.0810 -0.7269 +v 2.4781 -4.9191 -0.0881 +v 2.4111 -4.9416 0.1844 +v 1.9336 -5.1333 0.5276 +v 1.7310 -5.2345 0.4207 +v 2.0943 -5.0691 0.5019 +v 2.2675 -5.0006 0.3795 +v 1.6548 -5.2757 0.3457 +v 1.5827 -5.3060 0.2363 +v 1.4301 -5.3378 -0.0411 +v 1.4024 -5.3187 -0.2437 +v 1.4470 -5.2848 -0.4276 +v 1.8213 -5.4937 -0.6376 +v 1.6550 -5.5520 -0.5744 +v 1.8603 -5.5171 0.4269 +v 2.4515 -5.3207 -0.3457 +v 2.0246 -5.4312 -0.6226 +v 2.4905 -5.3018 -0.0937 +v 2.4477 -5.3179 0.1676 +v 1.9623 -5.4812 0.4708 +v 1.7883 -5.5478 0.3858 +v 2.1179 -5.4344 0.4783 +v 2.3170 -5.3637 0.3623 +v 1.7242 -5.5761 0.3081 +v 1.6648 -5.6036 0.2162 +v 1.5644 -5.6254 -0.0420 +v 1.5301 -5.6200 -0.2161 +v 1.5519 -5.5945 -0.3948 +v 1.8804 -5.8243 -0.5681 +v 1.7551 -5.8657 -0.4775 +v 1.9188 -5.8632 0.3895 +v 2.4239 -5.7354 -0.2997 +v 2.0652 -5.7830 -0.5541 +v 2.4790 -5.7313 -0.0811 +v 2.4515 -5.7398 0.1540 +v 2.0037 -5.8451 0.4229 +v 1.8543 -5.8829 0.3542 +v 2.1513 -5.8159 0.4337 +v 2.3264 -5.7697 0.3319 +v 1.7979 -5.9051 0.2968 +v 1.7399 -5.9276 0.2279 +v 1.6502 -5.9436 -0.0266 +v 1.6512 -5.9344 -0.1813 +v 1.6927 -5.9080 -0.3396 +v 1.9832 -6.2344 -0.4883 +v 1.8663 -6.2445 -0.3941 +v 2.0047 -6.2438 0.3690 +v 2.4341 -6.2148 -0.2648 +v 2.1716 -6.2475 -0.4924 +v 2.4851 -6.2111 -0.0666 +v 2.4580 -6.2037 0.1342 +v 2.0731 -6.2354 0.3966 +v 1.9409 -6.2536 0.3416 +v 2.2049 -6.1973 0.3929 +v 2.3375 -6.2005 0.3196 +v 1.8847 -6.2620 0.2893 +v 1.8283 -6.2760 0.2329 +v 1.7284 -6.2938 -0.0022 +v 1.7388 -6.2847 -0.1368 +v 1.7861 -6.2693 -0.2754 +v 2.0821 -6.6650 -0.3971 +v 1.9435 -6.6675 -0.3206 +v 2.4429 -6.6156 -0.2234 +v 1.9534 -6.6201 0.3045 +v 1.9021 -6.6289 0.2376 +v 1.8109 -6.6354 0.0375 +v 1.8045 -6.6534 -0.0874 +v 1.8661 -6.6626 -0.2219 +v 0.1308 -0.4439 0.4303 +v 0.2122 -0.6344 0.3762 +v 0.2377 -0.7644 0.3607 +v 0.3263 -1.0886 0.3278 +v 0.4414 -1.3727 0.3122 +v 0.6694 -2.2792 0.3211 +v 0.7852 -2.6642 0.3298 +v 0.9591 -3.2996 0.3570 +v 0.9942 -3.5858 0.3182 +v 1.0202 -3.8007 0.2815 +v 1.1532 -4.1178 0.2413 +v 1.2322 -4.3200 0.1970 +v 1.2750 -4.5525 0.1756 +v 1.3992 -5.0526 0.1301 +v 1.4993 -5.3265 0.1163 +v 1.6039 -5.6196 0.0991 +v 1.6792 -5.9388 0.1143 +v 1.7665 -6.2888 0.1206 +v 0.8452 -1.7829 1.0437 +v 0.6610 -1.8569 0.8048 +v 0.5961 -1.9122 0.5524 +v 0.5908 -1.9236 0.3136 +v 0.6181 -1.9235 0.0809 +v 0.6849 -1.8927 -0.1235 +v 0.7899 -1.8326 -0.3159 +v 0.9610 -1.7261 -0.4609 +v 1.1596 -1.6112 -0.5492 +v 1.3950 -1.5065 -0.5540 +v 1.8425 -1.4135 -0.2421 +v 1.9722 -1.4165 0.1461 +v 2.0533 -1.3994 0.5448 +v 1.9721 -1.4257 0.9368 +v 1.7341 -1.4971 1.1759 +v 1.4418 -1.5724 1.2087 +v 1.1216 -1.6863 1.1763 +v 0.0000 3.7818 1.6765 +v 0.7060 5.5448 0.7374 +v 0.0000 5.2357 -0.5302 +v 0.4063 5.2485 -0.5640 +v 0.6953 5.4004 -0.5447 +v 0.9610 5.7426 0.1018 +v 0.9803 5.7612 -0.0520 +v 0.9811 5.7473 -0.2131 +v 0.9086 5.6629 -0.3884 +v 1.2267 3.3853 0.1746 +v 0.6451 3.4585 -0.2793 +v 0.3032 3.4987 -0.3330 +v 0.4732 3.4818 -0.3102 +v 0.9631 3.4100 -0.1293 +v 1.3177 3.4393 0.6865 +v 0.0000 4.0853 1.5981 +v 0.4065 4.0592 1.5855 +v 0.6386 4.0307 1.5642 +v 0.5738 3.7046 1.6257 +v 0.8044 3.6556 1.6107 +v 0.8091 3.4342 -0.2184 +v 1.3514 3.6871 0.6484 +v 1.3533 3.6465 0.3848 +v 1.1399 3.5718 1.2522 +v 1.0612 3.9134 1.4251 +v 0.8826 3.9874 1.5585 +v 1.2988 3.7653 0.9358 +v 1.1884 3.8436 1.2116 +v 1.5104 4.8471 -0.4579 +v 1.3106 3.6289 0.1424 +v 1.0189 3.6663 -0.1670 +v 0.8534 3.6899 -0.2623 +v 0.6787 3.7131 -0.3286 +v 1.0118 3.6196 1.4821 +v 1.2573 3.5144 0.9678 +v 1.2906 3.3958 0.4301 +v 1.0841 4.0301 1.3737 +v 0.9068 4.1014 1.5053 +v 0.6598 4.1449 1.5117 +v 0.4223 4.1696 1.5304 +v 0.0000 4.1878 1.5370 +v 0.0000 3.9360 1.6511 +v 0.3826 3.9157 1.6383 +v 0.6082 3.8793 1.6121 +v 0.8500 3.8364 1.6192 +v 1.0487 3.7835 1.4913 +v 0.2440 5.2017 1.0165 +v 0.2455 5.0163 1.0874 +v 0.2520 4.7089 1.2235 +v 0.2468 4.8642 1.1508 +v 0.2339 4.4145 1.4061 +v 0.1683 3.5559 1.6722 +v 0.2390 4.5408 1.3297 +v 0.2404 5.3677 0.9486 +v 0.1510 2.1813 1.5823 +v 0.1504 2.5344 1.6183 +v 0.1585 3.2504 1.6697 +v 0.1523 2.8996 1.6501 +v 0.1540 1.8412 1.5362 +v 0.1827 3.7699 1.6696 +v 0.2031 4.0701 1.5944 +v 0.1734 5.0541 -0.5572 +v 0.2071 4.1815 1.5362 +v 0.1915 3.9267 1.6468 +v 0.1743 5.2205 -0.5446 +v 0.1956 4.8837 -0.5459 +v 0.1929 4.7094 -0.5322 +v 0.1856 4.5355 -0.5119 +v 0.1787 4.3667 -0.4899 +v 0.1726 4.2111 -0.4700 +v 0.1670 4.0763 -0.4529 +v 0.1562 3.8587 -0.4170 +v 0.1509 3.7553 -0.3939 +v 0.1465 3.6424 -0.3688 +v 0.1439 3.5099 -0.3433 +v 0.1430 3.3457 -0.3201 +v 0.1443 3.1404 -0.3060 +v 0.1480 2.8896 -0.3097 +v 0.1535 2.6075 -0.3348 +v 0.1578 2.3298 -0.3774 +v 0.1579 2.0679 -0.4328 +v 0.1473 1.8390 -0.4924 +v 0.1174 1.5471 -0.5676 +v 0.0960 1.2078 -0.7079 +v 0.0579 0.8081 -0.8132 +v 0.0456 0.3369 -0.8640 +v 0.0489 -0.1213 -0.6068 +v 0.0551 -0.3428 -0.3294 +v 0.0578 -0.4359 -0.1310 +v 0.0595 -0.4715 0.0569 +v 0.0769 -0.4627 0.2437 +v 0.0785 -0.4546 0.4288 +v 0.0834 -0.4361 0.6242 +v 0.1034 -0.3752 0.8586 +v 0.1247 -0.2494 1.0530 +v 0.1376 -0.1156 1.1469 +v 0.1707 0.2398 1.2987 +v 0.1783 0.6584 1.4071 +v 0.1724 1.1023 1.4558 +v 0.1604 1.5011 1.4878 +v 1.3863 3.9231 0.6001 +v 1.4094 3.8844 0.3313 +v 1.3967 3.8475 0.0806 +v 1.0844 3.9016 -0.2203 +v 0.9081 3.9189 -0.3184 +v 0.7206 3.9378 -0.3775 +v 0.5287 3.9525 -0.4087 +v 0.3390 3.9592 -0.4293 +v 0.0000 3.9624 -0.4377 +v 0.0000 4.2806 1.4879 +v 0.4375 4.2884 1.4746 +v 0.6880 4.2669 1.4485 +v 0.9331 4.2227 1.4474 +v 1.1092 4.1498 1.3225 +v 1.3310 3.9922 0.8764 +v 1.2296 4.0729 1.1265 +v 1.2468 3.8811 -0.0895 +v 0.2221 4.2848 1.4831 +v 0.1616 3.9619 -0.4363 +v 0.0000 5.4126 -0.4986 +v 0.3712 5.4611 -0.5378 +v 0.5993 5.5895 -0.4914 +v 0.8293 5.8057 -0.1803 +v 0.7643 5.7439 -0.3569 +v 0.1558 5.4127 -0.5121 +v 0.0000 5.6034 -0.4406 +v 0.3401 5.6733 -0.4654 +v 0.5303 5.7768 -0.3965 +v 0.6911 5.8889 -0.1271 +v 0.6410 5.8585 -0.2732 +v 0.1416 5.6103 -0.4502 +v 0.0000 5.7848 -0.3368 +v 0.3070 5.8527 -0.3612 +v 0.4528 5.9296 -0.2766 +v 0.5828 5.9713 -0.0580 +v 0.5335 5.9689 -0.1697 +v 0.1306 5.8000 -0.3626 +v 0.0000 5.9741 -0.2641 +v 0.2775 6.0206 -0.2518 +v 0.4133 6.0720 -0.1789 +v 0.5276 6.0841 0.0115 +v 0.4936 6.0917 -0.0987 +v 0.1171 5.9826 -0.2641 +v 0.0000 6.1292 -0.1817 +v 0.2541 6.1457 -0.1994 +v 0.3906 6.1615 -0.1473 +v 0.5124 6.1688 0.0523 +v 0.4883 6.1734 -0.0409 +v 0.1161 6.1338 -0.2158 +v 0.0000 5.5033 0.7839 +v 0.4197 5.5359 0.7468 +v 0.6821 5.6529 0.4192 +v 0.5586 5.5942 0.6089 +v 0.2121 5.5243 0.8256 +v 0.0000 5.6623 0.7345 +v 0.3494 5.6764 0.6739 +v 0.5741 5.7354 0.4003 +v 0.4814 5.6916 0.5314 +v 0.1788 5.6729 0.7369 +v 0.0000 5.8156 0.7341 +v 0.3243 5.8232 0.6500 +v 0.5000 5.8457 0.3999 +v 0.4384 5.8247 0.5183 +v 0.1687 5.8224 0.7019 +v 0.0000 5.9454 0.7501 +v 0.3159 5.9637 0.6335 +v 0.4767 5.9799 0.3948 +v 0.4267 5.9703 0.5137 +v 0.1672 5.9551 0.6949 +v 0.0000 6.0567 0.7745 +v 0.3147 6.0672 0.6315 +v 0.4644 6.1048 0.3902 +v 0.4236 6.0871 0.5148 +v 0.1795 6.0591 0.7235 +v 0.7531 5.7216 0.2718 +v 0.8091 5.7835 0.1147 +v 0.8313 5.8094 -0.0313 +v 0.6304 5.7880 0.2715 +v 0.6496 5.8325 0.1412 +v 0.6913 5.8738 0.0039 +v 0.5473 5.8726 0.2734 +v 0.5752 5.9164 0.1527 +v 0.5949 5.9532 0.0436 +v 0.5139 6.0084 0.2673 +v 0.5307 6.0298 0.1749 +v 0.5333 6.0611 0.0893 +v 0.4882 6.1264 0.2845 +v 0.5017 6.1416 0.2063 +v 0.5144 6.1537 0.1290 +v 0.0000 3.6457 -0.3710 +v 0.0000 3.1432 -0.3109 +v 0.0000 2.8910 -0.3152 +v 0.0000 2.6081 -0.3407 +v 0.0000 2.3305 -0.3832 +v 0.0000 2.0692 -0.4366 +v 0.0000 1.5349 -0.5625 +v 0.0000 0.8017 -0.7930 +v 0.0000 0.3265 -0.7990 +v 0.0000 -0.1571 -0.4506 +v 0.0000 -0.3362 -0.2207 +v 0.0000 -0.4043 -0.0757 +v 0.0000 0.6259 1.4142 +v 0.0000 0.2063 1.2931 +v 0.0000 -0.1542 1.1483 +v 0.0000 -0.2794 1.0513 +v 0.0000 1.0849 1.4613 +v 0.0000 -0.4029 0.8778 +v 0.0000 -0.4555 0.6401 +v 0.0000 -0.4530 0.2493 +v 0.0000 -0.4600 0.0830 +v 0.0000 -0.4594 0.4271 +v 0.0000 3.7576 -0.3958 +v 0.0000 3.5138 -0.3464 +v 2.1105 -8.0838 1.9618 +v 2.3051 -8.0730 1.9160 +v 1.8371 -8.0716 1.8977 +v 2.5670 -8.0460 1.7944 +v 1.8379 -7.7673 0.3112 +v 2.0422 -7.9356 -0.5424 +v 1.8799 -7.8309 0.1385 +v 1.8839 -7.8757 -0.0738 +v 2.6459 -7.8799 0.2676 +v 2.6607 -7.8951 0.0693 +v 1.7095 -8.0311 1.4010 +v 2.7310 -8.0371 1.4086 +v 2.6456 -8.0475 1.6423 +v 1.7680 -8.0658 1.7091 +v 2.6376 -7.8996 -0.1585 +v 2.5519 -7.8893 -0.4291 +v 2.3330 -7.9154 -0.5616 +v 1.9014 -7.9182 -0.3122 +v 2.4629 -8.0643 1.8553 +v 1.9452 -8.0867 1.9531 +v 2.6879 -7.9538 0.5034 +v 1.7999 -7.8342 0.5677 +v 1.7794 -7.9146 0.8401 +v 2.7504 -7.9851 0.7710 +v 2.7450 -8.0132 1.1053 +v 1.7199 -7.9791 1.1296 +v -1.3200 1.4795 -0.4162 +v -1.2418 1.7664 -0.2709 +v 0.0000 1.4899 1.4733 +v -1.2266 1.6484 1.1121 +v -0.3269 1.5204 1.4702 +v -0.5278 1.5417 1.4102 +v -1.5336 1.7601 0.2398 +v -1.5499 1.7358 0.5956 +v -1.4280 1.6979 0.9106 +v -0.9920 1.6058 1.2269 +v -0.7617 1.5737 1.3208 +v -1.4179 1.7604 -0.0576 +v -0.8632 1.7786 -0.4249 +v -0.6799 1.7926 -0.4440 +v -0.4991 1.7977 -0.4487 +v -0.3254 1.8074 -0.4608 +v 0.0000 1.8385 -0.4363 +v -0.8920 1.4950 -0.6115 +v -0.6840 1.5246 -0.6668 +v -0.5016 1.5227 -0.6890 +v -0.3394 1.5242 -0.6977 +v -1.0428 1.7661 -0.3601 +v -1.0142 1.3027 1.1868 +v -0.7998 1.2567 1.2754 +v -0.3458 1.2081 1.4453 +v -1.2517 1.3590 1.0771 +v -0.5580 1.2275 1.3810 +v -1.0849 1.4813 -0.5543 +v -1.4920 1.4615 -0.1480 +v -1.6326 1.4435 0.1774 +v -1.5280 1.4121 0.8900 +v -1.6565 1.4442 0.5645 +v -0.1520 1.8327 -0.4523 +v -0.1490 1.5394 -0.6948 +v -0.1720 1.1988 1.4618 +v -0.1619 1.5031 1.4865 +v 1.3200 1.4795 -0.4162 +v 1.2418 1.7664 -0.2709 +v 1.2266 1.6484 1.1121 +v 0.3269 1.5204 1.4702 +v 0.5278 1.5417 1.4102 +v 1.5336 1.7601 0.2398 +v 1.5499 1.7358 0.5956 +v 1.4280 1.6979 0.9106 +v 0.9920 1.6058 1.2269 +v 0.7617 1.5737 1.3208 +v 1.4179 1.7604 -0.0576 +v 0.8632 1.7786 -0.4249 +v 0.6799 1.7926 -0.4440 +v 0.4991 1.7977 -0.4487 +v 0.3254 1.8074 -0.4608 +v 0.8920 1.4950 -0.6115 +v 0.6840 1.5246 -0.6668 +v 0.5016 1.5227 -0.6890 +v 0.3394 1.5242 -0.6977 +v 0.0000 1.5277 -0.7083 +v 1.0428 1.7661 -0.3601 +v 1.0142 1.3027 1.1868 +v 0.7998 1.2567 1.2754 +v 0.3458 1.2081 1.4453 +v 0.0000 1.2037 1.4728 +v 1.2517 1.3590 1.0771 +v 0.5580 1.2275 1.3810 +v 1.0849 1.4813 -0.5543 +v 1.4920 1.4615 -0.1480 +v 1.6326 1.4435 0.1774 +v 1.5280 1.4121 0.8900 +v 1.6565 1.4442 0.5645 +v 0.1520 1.8327 -0.4523 +v 0.1490 1.5394 -0.6948 +v 0.1720 1.1988 1.4618 +v 0.1619 1.5031 1.4865 +v -1.3979 1.0980 -0.5252 +v -0.9444 1.1431 -0.8499 +v -0.7237 1.1616 -0.9075 +v -0.5226 1.1395 -0.8594 +v -0.3492 1.1268 -0.8288 +v -1.0458 0.8936 1.1991 +v -0.8182 0.8491 1.2989 +v -0.3548 0.7999 1.4373 +v -1.3075 0.9529 1.1180 +v -0.5719 0.8141 1.3911 +v -1.1807 1.1319 -0.7667 +v -1.5595 1.0770 -0.2232 +v -1.7243 1.0689 0.1030 +v -1.5960 1.0247 0.8772 +v -1.7439 1.0647 0.5288 +v -0.1708 1.1252 -0.8184 +v -0.1708 0.7928 1.4645 +v 1.3979 1.0980 -0.5252 +v 0.9444 1.1431 -0.8499 +v 0.7237 1.1616 -0.9075 +v 0.5226 1.1395 -0.8594 +v 0.3492 1.1268 -0.8288 +v 0.0000 1.1207 -0.8137 +v 1.0458 0.8936 1.1991 +v 0.8182 0.8491 1.2989 +v 0.3548 0.7999 1.4373 +v 0.0000 0.7980 1.4971 +v 1.3075 0.9529 1.1180 +v 0.5719 0.8141 1.3911 +v 1.1807 1.1319 -0.7667 +v 1.5595 1.0770 -0.2232 +v 1.7243 1.0689 0.1030 +v 1.5960 1.0247 0.8772 +v 1.7439 1.0647 0.5288 +v 0.1708 1.1252 -0.8184 +v 0.1708 0.7928 1.4645 +v -1.4964 0.7048 -0.6324 +v -1.0284 0.7637 -1.0563 +v -0.7600 0.7575 -1.0920 +v -0.5324 0.7404 -1.0700 +v -0.3439 0.7281 -1.0255 +v -1.0916 0.4634 1.2672 +v -0.8347 0.4217 1.3274 +v -0.3776 0.3724 1.4131 +v -1.3916 0.5176 1.1503 +v -0.5958 0.3906 1.3743 +v -1.2613 0.7154 -0.8961 +v -1.6446 0.6789 -0.2920 +v -1.7926 0.6610 0.0863 +v -1.7083 0.5752 0.9015 +v -1.7790 0.6187 0.4976 +v -0.1702 0.7094 -0.9411 +v -0.1824 0.3636 1.4377 +v 1.4964 0.7048 -0.6324 +v 1.0284 0.7637 -1.0563 +v 0.7600 0.7575 -1.0920 +v 0.5324 0.7404 -1.0700 +v 0.3439 0.7281 -1.0255 +v 0.0000 0.7026 -0.9078 +v 1.0916 0.4634 1.2672 +v 0.8347 0.4217 1.3274 +v 0.3776 0.3724 1.4131 +v 0.0000 0.3580 1.4550 +v 1.3916 0.5176 1.1503 +v 0.5958 0.3906 1.3743 +v 1.2613 0.7154 -0.8961 +v 1.6446 0.6789 -0.2920 +v 1.7926 0.6610 0.0863 +v 1.7083 0.5752 0.9015 +v 1.7790 0.6187 0.4976 +v 0.1702 0.7094 -0.9411 +v 0.1824 0.3636 1.4377 +v -1.5199 0.2635 -0.6722 +v -1.0579 0.2755 -1.0478 +v -0.8002 0.2738 -1.1034 +v -0.5651 0.2746 -1.0911 +v -0.3585 0.2672 -1.0460 +v -1.1400 0.0390 1.2962 +v -0.8603 -0.0018 1.3345 +v -0.3969 -0.0482 1.3867 +v -1.4822 0.0960 1.1991 +v -0.6176 -0.0303 1.3619 +v -1.2693 0.2759 -0.9147 +v -1.6917 0.2434 -0.3378 +v -1.8103 0.2396 0.1090 +v -1.8644 0.1605 0.9615 +v -1.8678 0.2003 0.5226 +v -0.1781 0.2718 -0.9961 +v -0.1937 -0.0569 1.4073 +v 1.5199 0.2635 -0.6722 +v 1.0579 0.2755 -1.0478 +v 0.8002 0.2738 -1.1034 +v 0.5651 0.2746 -1.0911 +v 0.3585 0.2672 -1.0460 +v 0.0000 0.2709 -0.9682 +v 1.1400 0.0390 1.2962 +v 0.8603 -0.0018 1.3345 +v 0.3969 -0.0482 1.3867 +v 0.0000 -0.0575 1.4226 +v 1.4822 0.0960 1.1991 +v 0.6176 -0.0303 1.3619 +v 1.2693 0.2759 -0.9147 +v 1.6917 0.2434 -0.3378 +v 1.8103 0.2396 0.1090 +v 1.8644 0.1605 0.9615 +v 1.8678 0.2003 0.5226 +v 0.1781 0.2718 -0.9961 +v 0.1937 -0.0569 1.4073 +v -1.5149 -0.1630 -0.6860 +v -1.0074 -0.1652 -0.9376 +v -0.7911 -0.1702 -0.9668 +v -0.5862 -0.1709 -0.9858 +v -0.3867 -0.1695 -0.9997 +v -1.1919 -0.3857 1.3077 +v -0.8941 -0.4292 1.3312 +v -0.4107 -0.4762 1.3895 +v -1.5528 -0.3188 1.2352 +v -0.6389 -0.4581 1.3676 +v -1.2562 -0.1558 -0.8884 +v -1.6893 -0.1604 -0.3456 +v -1.8756 -0.1152 0.0720 +v -1.9353 -0.2198 0.9809 +v -1.9832 -0.1402 0.5647 +v -0.1924 -0.1706 -0.9887 +v -0.2009 -0.4850 1.4113 +v 1.5149 -0.1630 -0.6860 +v 1.0074 -0.1652 -0.9376 +v 0.7911 -0.1702 -0.9668 +v 0.5862 -0.1709 -0.9858 +v 0.3867 -0.1695 -0.9997 +v 0.0000 -0.1718 -0.9784 +v 1.1919 -0.3857 1.3077 +v 0.8941 -0.4292 1.3312 +v 0.4107 -0.4762 1.3895 +v 0.0000 -0.4843 1.4168 +v 1.5528 -0.3188 1.2352 +v 0.6389 -0.4581 1.3676 +v 1.2562 -0.1558 -0.8884 +v 1.6893 -0.1604 -0.3456 +v 1.8756 -0.1152 0.0720 +v 1.9353 -0.2198 0.9809 +v 1.9832 -0.1402 0.5647 +v 0.1924 -0.1706 -0.9887 +v 0.2009 -0.4850 1.4113 +v -1.5085 -0.5833 -0.6707 +v -1.0069 -0.6064 -0.9379 +v -0.7956 -0.6126 -0.9658 +v -0.5929 -0.6157 -0.9838 +v -0.3938 -0.6178 -0.9953 +v -1.2521 -0.8269 1.3215 +v -0.9386 -0.8722 1.3271 +v -0.4241 -0.9205 1.3600 +v -1.6247 -0.7535 1.2582 +v -0.6664 -0.9017 1.3493 +v -1.2441 -0.5931 -0.8763 +v -1.7716 -0.5461 -0.3788 +v -2.0268 -0.4825 0.0429 +v -2.0294 -0.6268 0.9716 +v -2.1119 -0.5430 0.5571 +v -0.1965 -0.6227 -0.9852 +v -0.2060 -0.9299 1.3773 +v 1.5085 -0.5833 -0.6707 +v 1.0069 -0.6064 -0.9379 +v 0.7956 -0.6126 -0.9658 +v 0.5929 -0.6157 -0.9838 +v 0.3938 -0.6178 -0.9953 +v 0.0000 -0.6249 -0.9801 +v 1.2521 -0.8269 1.3215 +v 0.9386 -0.8722 1.3271 +v 0.4241 -0.9205 1.3600 +v 0.0000 -0.9293 1.3841 +v 1.6247 -0.7535 1.2582 +v 0.6664 -0.9017 1.3493 +v 1.2441 -0.5931 -0.8763 +v 1.7716 -0.5461 -0.3788 +v 2.0268 -0.4825 0.0429 +v 2.0294 -0.6268 0.9716 +v 2.1119 -0.5430 0.5571 +v 0.1965 -0.6227 -0.9852 +v 0.2060 -0.9299 1.3773 +v -1.5774 -1.0213 -0.6590 +v -1.0278 -1.0732 -0.9206 +v -0.8018 -1.0791 -0.9570 +v -0.5944 -1.0800 -0.9798 +v -0.3953 -1.0825 -0.9892 +v -1.2957 -1.2888 1.3295 +v -0.9691 -1.3381 1.3219 +v -0.4270 -1.3846 1.3178 +v -1.6754 -1.2118 1.2628 +v -0.6819 -1.3669 1.3109 +v -1.2840 -1.0523 -0.8539 +v -1.8431 -0.9804 -0.3481 +v -2.0485 -0.9605 0.0667 +v -2.0954 -1.0801 0.9656 +v -2.1510 -0.9933 0.5166 +v -0.1975 -1.0875 -0.9878 +v -0.2057 -1.3933 1.3384 +v 1.5774 -1.0213 -0.6590 +v 1.0278 -1.0732 -0.9206 +v 0.8018 -1.0791 -0.9570 +v 0.5944 -1.0800 -0.9798 +v 0.3953 -1.0825 -0.9892 +v 0.0000 -1.0898 -0.9863 +v 1.2957 -1.2888 1.3295 +v 0.9691 -1.3381 1.3219 +v 0.4270 -1.3846 1.3178 +v 0.0000 -1.3938 1.3372 +v 1.6754 -1.2118 1.2628 +v 0.6819 -1.3669 1.3109 +v 1.2840 -1.0523 -0.8539 +v 1.8431 -0.9804 -0.3481 +v 2.0485 -0.9605 0.0667 +v 2.0954 -1.0801 0.9656 +v 2.1510 -0.9933 0.5166 +v 0.1975 -1.0875 -0.9878 +v 0.2057 -1.3933 1.3384 +v -1.6048 -1.5044 -0.6126 +v -1.0574 -1.5490 -0.8847 +v -0.8180 -1.5522 -0.9282 +v -0.5989 -1.5532 -0.9538 +v -0.3963 -1.5564 -0.9638 +v -1.3300 -1.7617 1.2890 +v -0.9881 -1.8152 1.2794 +v -0.4277 -1.8601 1.2619 +v -1.7195 -1.6801 1.2203 +v -0.6903 -1.8431 1.2657 +v -1.3181 -1.5351 -0.8092 +v -1.8698 -1.4647 -0.3051 +v -2.0860 -1.4395 0.1053 +v -2.1605 -1.5539 0.9543 +v -2.1677 -1.4716 0.5140 +v -0.1980 -1.5618 -0.9628 +v -0.2050 -1.8687 1.2636 +v 1.6048 -1.5044 -0.6126 +v 1.0574 -1.5490 -0.8847 +v 0.8180 -1.5522 -0.9282 +v 0.5989 -1.5532 -0.9538 +v 0.3963 -1.5564 -0.9638 +v 0.0000 -1.5642 -0.9613 +v 1.3300 -1.7617 1.2890 +v 0.9881 -1.8152 1.2794 +v 0.4277 -1.8601 1.2619 +v 0.0000 -1.8701 1.2654 +v 1.7195 -1.6801 1.2203 +v 0.6903 -1.8431 1.2657 +v 1.3181 -1.5351 -0.8092 +v 1.8698 -1.4647 -0.3051 +v 2.0860 -1.4395 0.1053 +v 2.1605 -1.5539 0.9543 +v 2.1677 -1.4716 0.5140 +v 0.1980 -1.5618 -0.9628 +v 0.2050 -1.8687 1.2636 +v -1.6456 -1.9733 -0.5994 +v -1.0622 -2.0348 -0.8633 +v -0.8137 -2.0368 -0.9216 +v -0.5950 -2.0354 -0.9522 +v -0.3957 -2.0377 -0.9639 +v -1.3612 -2.2324 1.2247 +v -1.0043 -2.2918 1.2210 +v -0.4297 -2.3429 1.2226 +v -1.7524 -2.1429 1.1543 +v -0.6968 -2.3241 1.2174 +v -1.3422 -2.0163 -0.7713 +v -1.9452 -1.9219 -0.2974 +v -2.1495 -1.9014 0.1167 +v -2.1418 -2.0101 0.9080 +v -2.1868 -1.9346 0.5123 +v -0.1981 -2.0429 -0.9633 +v -0.2056 -2.3519 1.2263 +v 1.6456 -1.9733 -0.5994 +v 1.0622 -2.0348 -0.8633 +v 0.8137 -2.0368 -0.9216 +v 0.5950 -2.0354 -0.9522 +v 0.3957 -2.0377 -0.9639 +v 0.0000 -2.0453 -0.9620 +v 1.3612 -2.2324 1.2247 +v 1.0043 -2.2918 1.2210 +v 0.4297 -2.3429 1.2226 +v 0.0000 -2.3539 1.2208 +v 1.7524 -2.1429 1.1543 +v 0.6968 -2.3241 1.2174 +v 1.3422 -2.0163 -0.7713 +v 1.9452 -1.9219 -0.2974 +v 2.1495 -1.9014 0.1167 +v 2.1418 -2.0101 0.9080 +v 2.1868 -1.9346 0.5123 +v 0.1981 -2.0429 -0.9633 +v 0.2056 -2.3519 1.2263 +v -1.6714 -2.4799 -0.5975 +v -1.0739 -2.5249 -0.8515 +v -0.8211 -2.5245 -0.9167 +v -0.5961 -2.5225 -0.9507 +v -0.3959 -2.5249 -0.9636 +v -1.3939 -2.7156 1.1636 +v -1.0218 -2.7774 1.1839 +v -0.4323 -2.8310 1.2083 +v -1.7906 -2.6229 1.0822 +v -0.7021 -2.8121 1.1963 +v -1.3533 -2.5143 -0.7514 +v -2.0122 -2.4217 -0.2975 +v -2.2332 -2.3887 0.1194 +v -2.1479 -2.5025 0.8547 +v -2.2743 -2.4202 0.5082 +v -0.1982 -2.5300 -0.9633 +v -0.2074 -2.8404 1.2154 +v 1.6714 -2.4799 -0.5975 +v 1.0739 -2.5249 -0.8515 +v 0.8211 -2.5245 -0.9167 +v 0.5961 -2.5225 -0.9507 +v 0.3959 -2.5249 -0.9636 +v 0.0000 -2.5324 -0.9621 +v 1.3939 -2.7156 1.1636 +v 1.0218 -2.7774 1.1839 +v 0.4323 -2.8310 1.2083 +v 0.0000 -2.8444 1.2185 +v 1.7906 -2.6229 1.0822 +v 0.7021 -2.8121 1.1963 +v 1.3533 -2.5143 -0.7514 +v 2.0122 -2.4217 -0.2975 +v 2.2332 -2.3887 0.1194 +v 2.1479 -2.5025 0.8547 +v 2.2743 -2.4202 0.5082 +v 0.1982 -2.5300 -0.9633 +v 0.2074 -2.8404 1.2154 +v -1.7027 -2.9795 -0.5639 +v -1.0998 -3.0162 -0.8398 +v -0.8334 -3.0164 -0.9076 +v -0.5990 -3.0142 -0.9449 +v -0.3959 -3.0159 -0.9604 +v -1.4131 -3.2208 1.1379 +v -1.0174 -3.2819 1.1745 +v -0.4165 -3.3264 1.2065 +v -1.8413 -3.1217 1.0538 +v -0.6846 -3.3128 1.1934 +v -1.3933 -3.0060 -0.7345 +v -2.0306 -2.9301 -0.2697 +v -2.2646 -2.8978 0.1214 +v -2.2002 -2.9989 0.8303 +v -2.3192 -2.9244 0.5008 +v -0.1980 -3.0199 -0.9629 +v -0.2026 -3.3327 1.2151 +v 1.7027 -2.9795 -0.5639 +v 1.0998 -3.0162 -0.8398 +v 0.8334 -3.0164 -0.9076 +v 0.5990 -3.0142 -0.9449 +v 0.3959 -3.0159 -0.9604 +v 0.0000 -3.0218 -0.9625 +v 1.4131 -3.2208 1.1379 +v 1.0174 -3.2819 1.1745 +v 0.4165 -3.3264 1.2065 +v 0.0000 -3.3348 1.2184 +v 1.8413 -3.1217 1.0538 +v 0.6846 -3.3128 1.1934 +v 1.3933 -3.0060 -0.7345 +v 2.0306 -2.9301 -0.2697 +v 2.2646 -2.8978 0.1214 +v 2.2002 -2.9989 0.8303 +v 2.3192 -2.9244 0.5008 +v 0.1980 -3.0199 -0.9629 +v 0.2026 -3.3327 1.2151 +v -1.7732 -3.4545 -0.5721 +v -1.1199 -3.5067 -0.8381 +v -0.8416 -3.5093 -0.9064 +v -0.6004 -3.5077 -0.9444 +v -0.3960 -3.5094 -0.9601 +v -1.4483 -3.7129 1.1361 +v -1.0448 -3.7732 1.1742 +v -0.4211 -3.8148 1.2065 +v -1.8804 -3.6118 1.0387 +v -0.6981 -3.8025 1.1944 +v -1.4304 -3.4908 -0.7323 +v -2.1054 -3.4047 -0.2692 +v -2.3195 -3.3833 0.1211 +v -2.2480 -3.4858 0.8237 +v -2.3731 -3.4112 0.4983 +v -0.1981 -3.5134 -0.9629 +v -0.2027 -3.8214 1.2151 +v 1.7732 -3.4545 -0.5721 +v 1.1199 -3.5067 -0.8381 +v 0.8416 -3.5093 -0.9064 +v 0.6004 -3.5077 -0.9444 +v 0.3960 -3.5094 -0.9601 +v 0.0000 -3.5154 -0.9626 +v 1.4483 -3.7129 1.1361 +v 1.0448 -3.7732 1.1742 +v 0.4211 -3.8148 1.2065 +v 0.0000 -3.8235 1.2184 +v 1.8804 -3.6118 1.0387 +v 0.6981 -3.8025 1.1944 +v 1.4304 -3.4908 -0.7323 +v 2.1054 -3.4047 -0.2692 +v 2.3195 -3.3833 0.1211 +v 2.2480 -3.4858 0.8237 +v 2.3731 -3.4112 0.4983 +v 0.1981 -3.5134 -0.9629 +v 0.2027 -3.8214 1.2151 +v -1.8584 -3.9290 -0.6396 +v -1.1383 -4.0036 -0.8396 +v -0.8485 -4.0089 -0.9074 +v -0.6012 -4.0081 -0.9448 +v -0.3959 -4.0098 -0.9603 +v -1.4528 -4.2056 1.1474 +v -1.0400 -4.2675 1.1773 +v -0.4187 -4.3086 1.2066 +v -1.8928 -4.1053 1.0406 +v -0.6943 -4.2970 1.1944 +v -1.4759 -3.9789 -0.7538 +v -2.1817 -3.8750 -0.2918 +v -2.3743 -3.8628 0.1199 +v -2.2812 -3.9758 0.8250 +v -2.4144 -3.8972 0.4988 +v -0.1981 -4.0138 -0.9629 +v -0.2026 -4.3151 1.2151 +v 1.8584 -3.9290 -0.6396 +v 1.1383 -4.0036 -0.8396 +v 0.8485 -4.0089 -0.9074 +v 0.6012 -4.0081 -0.9448 +v 0.3959 -4.0098 -0.9603 +v 0.0000 -4.0157 -0.9626 +v 1.4528 -4.2056 1.1474 +v 1.0400 -4.2675 1.1773 +v 0.4187 -4.3086 1.2066 +v 0.0000 -4.3172 1.2184 +v 1.8928 -4.1053 1.0406 +v 0.6943 -4.2970 1.1944 +v 1.4759 -3.9789 -0.7538 +v 2.1817 -3.8750 -0.2918 +v 2.3743 -3.8628 0.1199 +v 2.2812 -3.9758 0.8250 +v 2.4144 -3.8972 0.4988 +v 0.1981 -4.0138 -0.9629 +v 0.2026 -4.3151 1.2151 +v -1.9695 -4.4197 -0.7402 +v -1.1712 -4.5111 -0.8774 +v -0.8533 -4.5192 -0.9139 +v -0.6003 -4.5183 -0.9465 +v -0.3958 -4.5200 -0.9608 +v -1.4560 -4.7153 1.1476 +v -1.0393 -4.7768 1.1773 +v -0.4155 -4.8173 1.2066 +v -1.9166 -4.6087 1.0702 +v -0.6906 -4.8053 1.1944 +v -1.5504 -4.4799 -0.8361 +v -2.3142 -4.3579 -0.3771 +v -2.4918 -4.3405 0.1034 +v -2.3348 -4.4761 0.8530 +v -2.5075 -4.3836 0.5117 +v -0.1980 -4.5240 -0.9631 +v -0.2026 -4.8242 1.2151 +v 1.9695 -4.4197 -0.7402 +v 1.1712 -4.5111 -0.8774 +v 0.8533 -4.5192 -0.9139 +v 0.6003 -4.5183 -0.9465 +v 0.3958 -4.5200 -0.9608 +v 0.0000 -4.5260 -0.9626 +v 1.4560 -4.7153 1.1476 +v 1.0393 -4.7768 1.1773 +v 0.4155 -4.8173 1.2066 +v 0.0000 -4.8263 1.2184 +v 1.9166 -4.6087 1.0702 +v 0.6906 -4.8053 1.1944 +v 1.5504 -4.4799 -0.8361 +v 2.3142 -4.3579 -0.3771 +v 2.4918 -4.3405 0.1034 +v 2.3348 -4.4761 0.8530 +v 2.5075 -4.3836 0.5117 +v 0.1980 -4.5240 -0.9631 +v 0.2026 -4.8242 1.2151 +v -2.0702 -4.9482 -0.8184 +v -1.2361 -5.0291 -0.9821 +v -0.8920 -5.0352 -0.9811 +v -0.6148 -5.0353 -0.9756 +v -0.3994 -5.0384 -0.9685 +v -1.4932 -5.2439 1.1477 +v -1.0602 -5.3051 1.1773 +v -0.4161 -5.3457 1.2065 +v -1.9635 -5.1400 1.0703 +v -0.6981 -5.3337 1.1944 +v -1.6351 -5.0035 -0.9525 +v -2.5151 -4.8766 -0.4369 +v -2.6752 -4.8450 0.0650 +v -2.3982 -5.0057 0.8572 +v -2.6223 -4.9045 0.4877 +v -0.1980 -5.0431 -0.9634 +v -0.2026 -5.3526 1.2151 +v 2.0702 -4.9482 -0.8184 +v 1.2361 -5.0291 -0.9821 +v 0.8920 -5.0352 -0.9811 +v 0.6148 -5.0353 -0.9756 +v 0.3994 -5.0384 -0.9685 +v 0.0000 -5.0453 -0.9627 +v 1.4932 -5.2439 1.1477 +v 1.0602 -5.3051 1.1773 +v 0.4161 -5.3457 1.2065 +v 0.0000 -5.3547 1.2183 +v 1.9635 -5.1400 1.0703 +v 0.6981 -5.3337 1.1944 +v 1.6351 -5.0035 -0.9525 +v 2.5151 -4.8766 -0.4369 +v 2.6752 -4.8450 0.0650 +v 2.3982 -5.0057 0.8572 +v 2.6223 -4.9045 0.4877 +v 0.1980 -5.0431 -0.9634 +v 0.2026 -5.3526 1.2151 +v -2.1156 -5.5225 -0.7779 +v -1.1867 -5.5758 -0.9138 +v -0.8511 -5.5679 -0.9375 +v -0.5956 -5.5601 -0.9587 +v -0.3949 -5.5609 -0.9658 +v -1.5377 -5.7959 1.1472 +v -1.0845 -5.8445 1.1768 +v -0.4174 -5.8807 1.2059 +v -2.0313 -5.7116 1.0691 +v -0.7077 -5.8695 1.1937 +v -1.6028 -5.5692 -0.8764 +v -2.5639 -5.4583 -0.4050 +v -2.7354 -5.4358 0.0917 +v -2.4768 -5.5848 0.8550 +v -2.7071 -5.4838 0.5117 +v -0.1981 -5.5655 -0.9647 +v -0.2025 -5.8871 1.2146 +v 2.1156 -5.5225 -0.7779 +v 1.1867 -5.5758 -0.9138 +v 0.8511 -5.5679 -0.9375 +v 0.5956 -5.5601 -0.9587 +v 0.3949 -5.5609 -0.9658 +v 0.0000 -5.5686 -0.9634 +v 1.5377 -5.7959 1.1472 +v 1.0845 -5.8445 1.1768 +v 0.4174 -5.8807 1.2059 +v 0.0000 -5.8891 1.2179 +v 2.0313 -5.7116 1.0691 +v 0.7077 -5.8695 1.1937 +v 1.6028 -5.5692 -0.8764 +v 2.5639 -5.4583 -0.4050 +v 2.7354 -5.4358 0.0917 +v 2.4768 -5.5848 0.8550 +v 2.7071 -5.4838 0.5117 +v 0.1981 -5.5655 -0.9647 +v 0.2025 -5.8871 1.2146 +v -2.1395 -6.0634 -0.6830 +v -1.1765 -6.1118 -0.9109 +v -0.8425 -6.0981 -0.9616 +v -0.5909 -6.0861 -0.9769 +v -0.3944 -6.0858 -0.9758 +v -1.5735 -6.3118 1.1451 +v -1.1016 -6.3550 1.1742 +v -0.4171 -6.3897 1.2033 +v -2.1097 -6.2265 1.0644 +v -0.7133 -6.3790 1.1908 +v -1.6066 -6.1099 -0.8178 +v -2.6210 -5.9974 -0.3449 +v -2.8402 -5.9654 0.0870 +v -2.5727 -6.1095 0.8413 +v -2.8233 -6.0090 0.4909 +v -0.1991 -6.0921 -0.9705 +v -0.2022 -6.3953 1.2124 +v 2.1395 -6.0634 -0.6830 +v 1.1765 -6.1118 -0.9109 +v 0.8425 -6.0981 -0.9616 +v 0.5909 -6.0861 -0.9769 +v 0.3944 -6.0858 -0.9758 +v 0.0000 -6.0978 -0.9681 +v 1.5735 -6.3118 1.1451 +v 1.1016 -6.3550 1.1742 +v 0.4171 -6.3897 1.2033 +v 0.0000 -6.3969 1.2158 +v 2.1097 -6.2265 1.0644 +v 0.7133 -6.3790 1.1908 +v 1.6066 -6.1099 -0.8178 +v 2.6210 -5.9974 -0.3449 +v 2.8402 -5.9654 0.0870 +v 2.5727 -6.1095 0.8413 +v 2.8233 -6.0090 0.4909 +v 0.1991 -6.0921 -0.9705 +v 0.2022 -6.3953 1.2124 +v -2.1296 -6.5731 -0.6242 +v -1.1689 -6.6403 -0.9398 +v -0.8320 -6.6347 -0.9959 +v -0.5849 -6.6254 -1.0031 +v -0.3953 -6.6243 -0.9889 +v -1.6269 -6.7434 1.1523 +v -1.1310 -6.7942 1.1765 +v -0.4128 -6.8442 1.2046 +v -2.1893 -6.6344 1.0666 +v -0.7084 -6.8332 1.1906 +v -1.5956 -6.6290 -0.8197 +v -2.6754 -6.4815 -0.3406 +v -2.9030 -6.4305 0.0862 +v -2.6338 -6.5383 0.8446 +v -2.8782 -6.4567 0.4923 +v -0.2035 -6.6315 -0.9763 +v -0.2010 -6.8474 1.2154 +v 2.1296 -6.5731 -0.6242 +v 1.1689 -6.6403 -0.9398 +v 0.8320 -6.6347 -0.9959 +v 0.5849 -6.6254 -1.0031 +v 0.3953 -6.6243 -0.9889 +v 0.0000 -6.6375 -0.9717 +v 1.6269 -6.7434 1.1523 +v 1.1310 -6.7942 1.1765 +v 0.4128 -6.8442 1.2046 +v 0.0000 -6.8479 1.2193 +v 2.1893 -6.6344 1.0666 +v 0.7084 -6.8332 1.1906 +v 1.5956 -6.6290 -0.8197 +v 2.6754 -6.4815 -0.3406 +v 2.9030 -6.4305 0.0862 +v 2.6338 -6.5383 0.8446 +v 2.8782 -6.4567 0.4923 +v 0.2035 -6.6315 -0.9763 +v 0.2010 -6.8474 1.2154 +v -2.1405 -7.0664 -0.6276 +v -1.1366 -7.1477 -0.9515 +v -0.8060 -7.1480 -1.0031 +v -0.5798 -7.1467 -1.0055 +v -0.4028 -7.1445 -0.9711 +v -1.7068 -7.1320 1.2084 +v -1.1885 -7.1795 1.2054 +v -0.3962 -7.2846 1.2309 +v -2.2738 -7.0464 1.1246 +v -0.7225 -7.2669 1.2118 +v -1.5940 -7.1284 -0.8395 +v -2.6872 -6.9654 -0.3419 +v -3.0025 -6.8732 0.1164 +v -2.7830 -6.9377 0.8951 +v -2.9967 -6.8847 0.5181 +v -0.2196 -7.1467 -0.9485 +v -0.1979 -7.2806 1.2465 +v 2.1405 -7.0664 -0.6276 +v 1.1366 -7.1477 -0.9515 +v 0.8060 -7.1480 -1.0031 +v 0.5798 -7.1467 -1.0055 +v 0.4028 -7.1445 -0.9711 +v 0.0000 -7.1412 -0.9411 +v 1.7068 -7.1320 1.2084 +v 1.1885 -7.1795 1.2054 +v 0.3962 -7.2846 1.2309 +v 0.0000 -7.2786 1.2517 +v 2.2738 -7.0464 1.1246 +v 0.7225 -7.2669 1.2118 +v 1.5940 -7.1284 -0.8395 +v 2.6872 -6.9654 -0.3419 +v 3.0025 -6.8732 0.1164 +v 2.7830 -6.9377 0.8951 +v 2.9967 -6.8847 0.5181 +v 0.2196 -7.1467 -0.9485 +v 0.1979 -7.2806 1.2465 +v 0.0031 8.2243 1.2498 +v 0.0029 8.3334 1.1829 +v 0.1563 8.2300 1.2667 +v 0.0491 8.3412 1.1838 +v 0.0103 8.0993 1.3643 +v 0.2355 8.0970 1.3448 +v 0.0161 7.9472 1.4555 +v 0.3070 7.9463 1.3955 +v 0.0177 7.7649 1.5247 +v 0.3670 7.7516 1.4320 +v 0.0133 7.4734 1.5798 +v 0.4112 7.4472 1.4431 +v 0.0963 7.1398 1.5978 +v 0.4256 7.0717 1.4304 +v 0.1188 6.7108 1.5968 +v 0.3884 6.6750 1.4039 +v 0.1265 6.1668 1.5264 +v 0.3731 6.1960 1.3494 +v 0.1617 8.2265 1.2611 +v 0.0153 8.3434 1.1418 +v 0.3207 8.2412 1.1853 +v 0.0236 8.3604 1.0873 +v 0.2408 8.0912 1.3344 +v 0.4956 8.0961 1.1959 +v 0.3112 7.9414 1.3873 +v 0.6500 7.9540 1.2271 +v 0.3900 7.7408 1.4313 +v 0.7192 7.7179 1.2341 +v 0.4287 7.4383 1.4477 +v 0.7490 7.3910 1.2484 +v 0.4315 7.0754 1.4393 +v 0.7509 6.9724 1.2451 +v 0.4001 6.6719 1.4272 +v 0.6403 6.5565 1.2432 +v 0.3627 6.1871 1.3767 +v 0.6139 6.1586 1.2870 +v 0.4810 8.3341 0.9982 +v 0.0118 8.4218 0.9573 +v 0.5031 8.3648 0.7328 +v 0.0214 8.4829 0.7795 +v 0.6423 8.1459 1.0049 +v 0.6645 8.1781 0.6139 +v 0.7647 7.9625 0.9841 +v 0.7826 7.9454 0.5640 +v 0.7972 7.7240 0.9489 +v 0.8429 7.7121 0.5313 +v 0.8154 7.3448 0.8916 +v 0.9065 7.2814 0.4892 +v 0.7756 6.8960 0.8765 +v 0.8894 6.7639 0.5116 +v 0.7404 6.5176 0.9225 +v 0.8500 6.4319 0.5626 +v 0.6522 6.0628 0.9372 +v 0.8159 6.0570 0.6312 +v 0.5226 5.6324 0.9973 +v 0.8308 5.6454 0.8474 +v 0.4180 5.0731 1.1519 +v 0.7262 5.1102 1.0792 +v 0.2812 4.6163 1.3356 +v 0.6642 4.6614 1.3034 +v 0.1572 4.1895 1.5993 +v 0.6198 4.1691 1.5377 +v 0.1527 3.7790 1.7120 +v 0.6339 3.7652 1.6895 +v 0.1528 3.2884 1.7046 +v 0.6139 3.2700 1.7147 +v 0.1325 2.7991 1.7415 +v 0.5876 2.8027 1.7027 +v 0.3205 8.2409 1.1679 +v 0.0093 8.3695 1.0723 +v 0.4658 8.3145 1.0034 +v 0.0122 8.4157 0.9785 +v 0.5112 8.1008 1.2024 +v 0.6492 8.1509 1.0144 +v 0.6595 7.9457 1.2247 +v 0.7911 7.9558 1.0030 +v 0.7144 7.7239 1.2285 +v 0.8127 7.7266 0.9488 +v 0.7659 7.3858 1.2364 +v 0.8383 7.3410 0.9098 +v 0.7523 6.9642 1.2224 +v 0.8152 6.8847 0.8993 +v 0.6429 6.5474 1.2262 +v 0.7627 6.5055 0.9331 +v 0.6198 6.1576 1.2677 +v 0.6499 6.0759 0.9545 +v 0.5217 8.3626 0.7146 +v 0.0176 8.4914 0.7657 +v 0.5408 8.4136 0.4433 +v 0.0137 8.4967 0.6309 +v 0.6457 8.1696 0.6004 +v 0.6728 8.2106 0.2923 +v 0.7487 7.9505 0.5568 +v 0.7661 8.0133 0.2166 +v 0.8265 7.7134 0.5213 +v 0.7858 7.7321 0.1580 +v 0.8940 7.2827 0.4780 +v 0.8228 7.3442 0.0688 +v 0.8733 6.7803 0.5047 +v 0.9588 6.9006 0.0350 +v 0.8451 6.4434 0.5336 +v 1.0352 6.4530 0.0823 +v 0.8446 6.0571 0.6116 +v 1.1018 6.0687 0.2101 +v 0.8616 5.6606 0.8717 +v 1.2091 5.6904 0.6574 +v 0.7552 5.1868 1.1826 +v 1.2437 5.2091 1.0717 +v 0.7020 4.6948 1.3699 +v 1.2343 4.6833 1.2753 +v 0.6815 4.1569 1.6190 +v 1.2540 4.1359 1.5183 +v 0.6777 3.7103 1.6570 +v 1.2151 3.6527 1.5594 +v 0.6440 3.2260 1.6610 +v 1.1724 3.1365 1.5107 +v 0.6158 2.7905 1.6491 +v 1.1198 2.7785 1.4672 +v 0.5211 8.4004 0.4269 +v 0.0082 8.4899 0.6224 +v 0.4530 8.4553 0.2434 +v 0.0063 8.4846 0.4978 +v 0.6490 8.2058 0.2902 +v 0.6215 8.2953 -0.0227 +v 0.7324 8.0016 0.2206 +v 0.6880 8.0534 -0.1681 +v 0.7449 7.7087 0.1660 +v 0.7064 7.7465 -0.2753 +v 0.8009 7.3372 0.0637 +v 0.6966 7.4100 -0.3241 +v 0.9321 6.9038 0.0353 +v 0.6830 6.9646 -0.3608 +v 1.0235 6.4974 -0.0072 +v 0.7253 6.5573 -0.4272 +v 1.1321 6.0587 -0.1577 +v 0.7609 6.0766 -0.4694 +v 1.3005 5.6077 -0.4378 +v 0.7993 5.5424 -0.5706 +v 1.3384 5.0864 -0.5776 +v 0.8092 5.0678 -0.6617 +v 1.3013 4.4944 -0.5071 +v 0.8247 4.4967 -0.6585 +v 1.2260 3.7900 -0.3346 +v 0.8011 3.7526 -0.5576 +v 1.2459 3.1439 -0.2189 +v 0.8055 3.1491 -0.5547 +v 1.2678 2.5825 -0.1982 +v 0.7943 2.5996 -0.5520 +v 1.2639 2.0685 -0.1927 +v 0.8328 2.0618 -0.5830 +v 0.2230 8.4521 0.0589 +v 0.0031 8.4809 0.3479 +v 0.0052 8.4497 0.0523 +v 0.0035 8.4616 0.2689 +v 0.2580 8.3051 -0.1735 +v 0.0080 8.3192 -0.2022 +v 0.2927 8.0635 -0.3490 +v 0.0069 8.0662 -0.3688 +v 0.2915 7.7605 -0.4587 +v 0.0069 7.7616 -0.4628 +v 0.2999 7.3674 -0.4852 +v 0.0098 7.3490 -0.4885 +v 0.2988 6.8530 -0.5207 +v 0.0101 6.8245 -0.5239 +v 0.2918 6.4959 -0.5326 +v 0.0084 6.4695 -0.5233 +v 0.3039 6.0579 -0.5352 +v 0.0038 6.0434 -0.5344 +v 0.3115 5.5644 -0.5647 +v 0.0070 5.5474 -0.5491 +v 0.2804 5.0383 -0.6014 +v 0.0039 5.0322 -0.5654 +v 0.2758 4.4900 -0.5839 +v 0.0054 4.4703 -0.5732 +v 0.2754 3.7569 -0.5970 +v 0.0166 3.7538 -0.5975 +v 0.2552 3.1570 -0.6050 +v 0.0185 3.1542 -0.6059 +v 0.2709 2.6306 -0.5970 +v 0.0186 2.5985 -0.5980 +v 0.2950 2.0126 -0.6050 +v 0.0122 2.0286 -0.6057 +v 0.4506 8.4539 0.2299 +v 0.0059 8.4809 0.4908 +v 0.2267 8.4518 0.0633 +v 0.0075 8.4777 0.3596 +v 0.6112 8.2945 -0.0225 +v 0.2645 8.3043 -0.1667 +v 0.6717 8.0519 -0.1705 +v 0.3036 8.0758 -0.3522 +v 0.6900 7.7470 -0.2714 +v 0.3011 7.7760 -0.4530 +v 0.6811 7.4011 -0.3215 +v 0.3082 7.3860 -0.4839 +v 0.6561 6.9665 -0.3572 +v 0.3035 6.8695 -0.5189 +v 0.6956 6.5457 -0.3867 +v 0.3034 6.4974 -0.5393 +v 0.7305 6.0764 -0.4436 +v 0.3119 6.0563 -0.5476 +v 0.7792 5.5663 -0.5742 +v 0.3224 5.5629 -0.5776 +v 0.7797 5.0598 -0.6443 +v 0.2997 5.0347 -0.6055 +v 0.7876 4.4898 -0.6229 +v 0.3050 4.4865 -0.5785 +v 0.7911 3.7618 -0.5950 +v 0.2943 3.7625 -0.5843 +v 0.7845 3.1436 -0.5682 +v 0.2747 3.1559 -0.5918 +v 0.7827 2.6047 -0.5629 +v 0.2951 2.6327 -0.5842 +v 0.8018 2.0628 -0.5895 +v 0.3157 2.0200 -0.5879 +v -0.0031 8.2243 1.2498 +v -0.0029 8.3334 1.1829 +v -0.1563 8.2300 1.2667 +v -0.0491 8.3412 1.1838 +v -0.0103 8.0993 1.3643 +v -0.2355 8.0970 1.3448 +v -0.0161 7.9472 1.4555 +v -0.3070 7.9463 1.3955 +v -0.0177 7.7649 1.5247 +v -0.3670 7.7516 1.4320 +v -0.0133 7.4734 1.5798 +v -0.4112 7.4472 1.4431 +v -0.0963 7.1398 1.5978 +v -0.4256 7.0717 1.4304 +v -0.1188 6.7108 1.5968 +v -0.3884 6.6750 1.4039 +v -0.1265 6.1668 1.5264 +v -0.3731 6.1960 1.3494 +v -0.1617 8.2265 1.2611 +v -0.0153 8.3434 1.1418 +v -0.3207 8.2412 1.1853 +v -0.0236 8.3604 1.0873 +v -0.2408 8.0912 1.3344 +v -0.4956 8.0961 1.1959 +v -0.3112 7.9414 1.3873 +v -0.6500 7.9540 1.2271 +v -0.3900 7.7408 1.4313 +v -0.7192 7.7179 1.2341 +v -0.4287 7.4383 1.4477 +v -0.7490 7.3910 1.2484 +v -0.4315 7.0754 1.4393 +v -0.7509 6.9724 1.2451 +v -0.4001 6.6719 1.4272 +v -0.6403 6.5565 1.2432 +v -0.3627 6.1871 1.3767 +v -0.6139 6.1586 1.2870 +v -0.4810 8.3341 0.9982 +v -0.0118 8.4218 0.9573 +v -0.5031 8.3648 0.7328 +v -0.0214 8.4829 0.7795 +v -0.6423 8.1459 1.0049 +v -0.6645 8.1781 0.6139 +v -0.7647 7.9625 0.9841 +v -0.7826 7.9454 0.5640 +v -0.7972 7.7240 0.9489 +v -0.8429 7.7121 0.5313 +v -0.8154 7.3448 0.8916 +v -0.9065 7.2814 0.4892 +v -0.7756 6.8960 0.8765 +v -0.8894 6.7639 0.5116 +v -0.7404 6.5176 0.9225 +v -0.8500 6.4319 0.5626 +v -0.6522 6.0628 0.9372 +v -0.8159 6.0570 0.6312 +v -0.5226 5.6324 0.9973 +v -0.8308 5.6454 0.8474 +v -0.4180 5.0731 1.1519 +v -0.7262 5.1102 1.0792 +v -0.2812 4.6163 1.3356 +v -0.6642 4.6614 1.3034 +v -0.1572 4.1895 1.5993 +v -0.6198 4.1691 1.5377 +v -0.1527 3.7790 1.7120 +v -0.6339 3.7652 1.6895 +v -0.1528 3.2884 1.7046 +v -0.6139 3.2700 1.7147 +v -0.1325 2.7991 1.7415 +v -0.5876 2.8027 1.7027 +v -0.3205 8.2409 1.1679 +v -0.0093 8.3695 1.0723 +v -0.4658 8.3145 1.0034 +v -0.0122 8.4157 0.9785 +v -0.5112 8.1008 1.2024 +v -0.6492 8.1509 1.0144 +v -0.6595 7.9457 1.2247 +v -0.7911 7.9558 1.0030 +v -0.7144 7.7239 1.2285 +v -0.8127 7.7266 0.9488 +v -0.7659 7.3858 1.2364 +v -0.8383 7.3410 0.9098 +v -0.7523 6.9642 1.2224 +v -0.8152 6.8847 0.8993 +v -0.6429 6.5474 1.2262 +v -0.7627 6.5055 0.9331 +v -0.6198 6.1576 1.2677 +v -0.6499 6.0759 0.9545 +v -0.5217 8.3626 0.7146 +v -0.0176 8.4914 0.7657 +v -0.5408 8.4136 0.4433 +v -0.0137 8.4967 0.6309 +v -0.6457 8.1696 0.6004 +v -0.6728 8.2106 0.2923 +v -0.7487 7.9505 0.5568 +v -0.7661 8.0133 0.2166 +v -0.8265 7.7134 0.5213 +v -0.7858 7.7321 0.1580 +v -0.8940 7.2827 0.4780 +v -0.8228 7.3442 0.0688 +v -0.8733 6.7803 0.5047 +v -0.9588 6.9006 0.0350 +v -0.8451 6.4434 0.5336 +v -1.0352 6.4530 0.0823 +v -0.8446 6.0571 0.6116 +v -1.1018 6.0687 0.2101 +v -0.8616 5.6606 0.8717 +v -1.2091 5.6904 0.6574 +v -0.7552 5.1868 1.1826 +v -1.2437 5.2091 1.0717 +v -0.7020 4.6948 1.3699 +v -1.2343 4.6833 1.2753 +v -0.6815 4.1569 1.6190 +v -1.2540 4.1359 1.5183 +v -0.6777 3.7103 1.6570 +v -1.2151 3.6527 1.5594 +v -0.6440 3.2260 1.6610 +v -1.1724 3.1365 1.5107 +v -0.6158 2.7905 1.6491 +v -1.1198 2.7785 1.4672 +v -0.5211 8.4004 0.4269 +v -0.0082 8.4899 0.6224 +v -0.4530 8.4553 0.2434 +v -0.0063 8.4846 0.4978 +v -0.6490 8.2058 0.2902 +v -0.6215 8.2953 -0.0227 +v -0.7324 8.0016 0.2206 +v -0.6880 8.0534 -0.1681 +v -0.7449 7.7087 0.1660 +v -0.7064 7.7465 -0.2753 +v -0.8009 7.3372 0.0637 +v -0.6966 7.4100 -0.3241 +v -0.9321 6.9038 0.0353 +v -0.6830 6.9646 -0.3608 +v -1.0235 6.4974 -0.0072 +v -0.7253 6.5573 -0.4272 +v -1.1321 6.0587 -0.1577 +v -0.7609 6.0766 -0.4694 +v -1.3005 5.6077 -0.4378 +v -0.7993 5.5424 -0.5706 +v -1.3384 5.0864 -0.5776 +v -0.8092 5.0678 -0.6617 +v -1.3013 4.4944 -0.5071 +v -0.8247 4.4967 -0.6585 +v -1.2260 3.7900 -0.3346 +v -0.8011 3.7526 -0.5576 +v -1.2459 3.1439 -0.2189 +v -0.8055 3.1491 -0.5547 +v -1.2678 2.5825 -0.1982 +v -0.7943 2.5996 -0.5520 +v -1.2639 2.0685 -0.1927 +v -0.8328 2.0618 -0.5830 +v -0.2230 8.4521 0.0589 +v -0.0031 8.4809 0.3479 +v -0.0052 8.4497 0.0523 +v -0.0035 8.4616 0.2689 +v -0.2580 8.3051 -0.1735 +v -0.0080 8.3192 -0.2022 +v -0.2927 8.0635 -0.3490 +v -0.0069 8.0662 -0.3688 +v -0.2915 7.7605 -0.4587 +v -0.0069 7.7616 -0.4628 +v -0.2999 7.3674 -0.4852 +v -0.0098 7.3490 -0.4885 +v -0.2988 6.8530 -0.5207 +v -0.0101 6.8245 -0.5239 +v -0.2918 6.4959 -0.5326 +v -0.0084 6.4695 -0.5233 +v -0.3039 6.0579 -0.5352 +v -0.0038 6.0434 -0.5344 +v -0.3115 5.5644 -0.5647 +v -0.0070 5.5474 -0.5491 +v -0.2804 5.0383 -0.6014 +v -0.0039 5.0322 -0.5654 +v -0.2758 4.4900 -0.5839 +v -0.0054 4.4703 -0.5732 +v -0.2754 3.7569 -0.5970 +v -0.0166 3.7538 -0.5975 +v -0.2552 3.1570 -0.6050 +v -0.0185 3.1542 -0.6059 +v -0.2709 2.6306 -0.5970 +v -0.0186 2.5985 -0.5980 +v -0.2950 2.0126 -0.6050 +v -0.0122 2.0286 -0.6057 +v -0.4506 8.4539 0.2299 +v -0.0059 8.4809 0.4908 +v -0.2267 8.4518 0.0633 +v -0.0075 8.4777 0.3596 +v -0.6112 8.2945 -0.0225 +v -0.2645 8.3043 -0.1667 +v -0.6717 8.0519 -0.1705 +v -0.3036 8.0758 -0.3522 +v -0.6900 7.7470 -0.2714 +v -0.3011 7.7760 -0.4530 +v -0.6811 7.4011 -0.3215 +v -0.3082 7.3860 -0.4839 +v -0.6561 6.9665 -0.3572 +v -0.3035 6.8695 -0.5189 +v -0.6956 6.5457 -0.3867 +v -0.3034 6.4974 -0.5393 +v -0.7305 6.0764 -0.4436 +v -0.3119 6.0563 -0.5476 +v -0.7792 5.5663 -0.5742 +v -0.3224 5.5629 -0.5776 +v -0.7797 5.0598 -0.6443 +v -0.2997 5.0347 -0.6055 +v -0.7876 4.4898 -0.6229 +v -0.3050 4.4865 -0.5785 +v -0.7911 3.7618 -0.5950 +v -0.2943 3.7625 -0.5843 +v -0.7845 3.1436 -0.5682 +v -0.2747 3.1559 -0.5918 +v -0.7827 2.6047 -0.5629 +v -0.2951 2.6327 -0.5842 +v -0.8018 2.0628 -0.5895 +v -0.3157 2.0200 -0.5879 +v -0.2658 -8.4488 0.2658 +v -0.2658 -8.4488 -0.2658 +v 0.2658 -8.4488 -0.2658 +v 0.2658 -8.4488 0.2658 +v -0.2658 -7.9173 0.2658 +v -0.2658 -7.9173 -0.2658 +v 0.2658 -7.9173 -0.2658 +v 0.2658 -7.9173 0.2658 +vt 0.833218 0.448147 +vt 0.834363 0.447974 +vt 0.834501 0.450931 +vt 0.833504 0.451106 +vt 0.830640 0.447989 +vt 0.832059 0.448069 +vt 0.832342 0.451187 +vt 0.830924 0.451390 +vt 0.833492 0.445394 +vt 0.832425 0.445084 +vt 0.831206 0.444629 +vt 0.833358 0.442531 +vt 0.832306 0.441554 +vt 0.834282 0.443118 +vt 0.834410 0.440582 +vt 0.833735 0.439326 +vt 0.834986 0.441425 +vt 0.835445 0.439252 +vt 0.835060 0.437580 +vt 0.835830 0.440360 +vt 0.836482 0.438421 +vt 0.836308 0.436445 +vt 0.836669 0.439611 +vt 0.837695 0.437691 +vt 0.837503 0.435888 +vt 0.837722 0.439213 +vt 0.838723 0.437866 +vt 0.838796 0.435951 +vt 0.838722 0.439400 +vt 0.839948 0.438237 +vt 0.840215 0.436137 +vt 0.839764 0.439762 +vt 0.841031 0.438783 +vt 0.841562 0.436816 +vt 0.840770 0.440279 +vt 0.844623 0.443512 +vt 0.843580 0.441536 +vt 0.844462 0.440240 +vt 0.845799 0.442721 +vt 0.843755 0.444018 +vt 0.842864 0.442240 +vt 0.844262 0.452459 +vt 0.844464 0.449796 +vt 0.845745 0.449912 +vt 0.845459 0.452913 +vt 0.846990 0.449449 +vt 0.846549 0.452945 +vt 0.843761 0.455021 +vt 0.844583 0.455604 +vt 0.845570 0.455924 +vt 0.843164 0.456612 +vt 0.843812 0.457296 +vt 0.844530 0.457951 +vt 0.834408 0.454133 +vt 0.835434 0.453841 +vt 0.832042 0.454778 +vt 0.833337 0.454407 +vt 0.833813 0.457740 +vt 0.834842 0.457235 +vt 0.835752 0.456819 +vt 0.836632 0.456504 +vt 0.835669 0.459964 +vt 0.836358 0.459319 +vt 0.836882 0.458727 +vt 0.837476 0.458295 +vt 0.837234 0.461214 +vt 0.837599 0.460529 +vt 0.837941 0.459977 +vt 0.838565 0.459144 +vt 0.839635 0.462427 +vt 0.838582 0.461979 +vt 0.838651 0.461330 +vt 0.839677 0.461567 +vt 0.839817 0.460889 +vt 0.838665 0.460848 +vt 0.839513 0.459882 +vt 0.840197 0.460199 +vt 0.840723 0.462543 +vt 0.840610 0.461595 +vt 0.840681 0.460582 +vt 0.840722 0.460029 +vt 0.841844 0.462122 +vt 0.841582 0.461237 +vt 0.841394 0.460186 +vt 0.841379 0.459171 +vt 0.847427 0.441465 +vt 0.845705 0.438663 +vt 0.845422 0.458992 +vt 0.846753 0.456823 +vt 0.848150 0.453426 +vt 0.848738 0.449287 +vt 0.851007 0.449220 +vt 0.850136 0.454056 +vt 0.842148 0.434795 +vt 0.840507 0.434271 +vt 0.838864 0.434243 +vt 0.837452 0.434334 +vt 0.836100 0.434867 +vt 0.834712 0.436042 +vt 0.833224 0.437920 +vt 0.831441 0.440711 +vt 0.830016 0.444068 +vt 0.829471 0.447854 +vt 0.829758 0.451500 +vt 0.830971 0.455137 +vt 0.832915 0.458333 +vt 0.835153 0.460668 +vt 0.830539 0.439696 +vt 0.832736 0.436091 +vt 0.838290 0.462806 +vt 0.839540 0.463275 +vt 0.840810 0.463286 +vt 0.842217 0.462615 +vt 0.836840 0.461990 +vt 0.837948 0.464224 +vt 0.836251 0.463334 +vt 0.834129 0.461768 +vt 0.835693 0.465513 +vt 0.837761 0.466439 +vt 0.839449 0.464629 +vt 0.839555 0.466771 +vt 0.840972 0.464546 +vt 0.841346 0.466582 +vt 0.842737 0.463634 +vt 0.843421 0.465704 +vt 0.833994 0.472061 +vt 0.835014 0.468555 +vt 0.837460 0.469476 +vt 0.836729 0.472992 +vt 0.839558 0.473280 +vt 0.839674 0.469745 +vt 0.841783 0.469492 +vt 0.842267 0.472920 +vt 0.844312 0.468433 +vt 0.845373 0.471408 +vt 0.833188 0.475818 +vt 0.836200 0.476554 +vt 0.839296 0.476770 +vt 0.842633 0.476321 +vt 0.846828 0.474782 +vt 0.832489 0.479391 +vt 0.835621 0.479766 +vt 0.851233 0.475587 +vt 0.850122 0.479509 +vt 0.845779 0.479471 +vt 0.839005 0.479906 +vt 0.842422 0.479816 +vt 0.831957 0.483168 +vt 0.835037 0.483168 +vt 0.849568 0.483168 +vt 0.845354 0.483168 +vt 0.838583 0.483168 +vt 0.842117 0.483168 +vt 0.853556 0.449226 +vt 0.852507 0.454748 +vt 0.850352 0.459224 +vt 0.848202 0.457998 +vt 0.848230 0.461738 +vt 0.846477 0.460213 +vt 0.851804 0.438162 +vt 0.849363 0.439888 +vt 0.847381 0.436456 +vt 0.849453 0.434110 +vt 0.837444 0.429918 +vt 0.837417 0.432577 +vt 0.836024 0.433093 +vt 0.835812 0.430587 +vt 0.841491 0.429452 +vt 0.840938 0.432208 +vt 0.838965 0.432336 +vt 0.839310 0.429511 +vt 0.834545 0.434111 +vt 0.834150 0.431894 +vt 0.832143 0.434469 +vt 0.829960 0.438396 +vt 0.828826 0.443596 +vt 0.828012 0.443063 +vt 0.828587 0.456696 +vt 0.829827 0.455581 +vt 0.831906 0.459094 +vt 0.830819 0.460734 +vt 0.828153 0.447784 +vt 0.827086 0.447730 +vt 0.827272 0.452208 +vt 0.828475 0.451683 +vt 0.833306 0.463756 +vt 0.831024 0.470420 +vt 0.832251 0.466748 +vt 0.829909 0.474514 +vt 0.829278 0.478813 +vt 0.828692 0.483168 +vt 0.824249 0.462103 +vt 0.826496 0.458948 +vt 0.829034 0.463731 +vt 0.827389 0.467192 +vt 0.822958 0.455215 +vt 0.825212 0.453393 +vt 0.824275 0.441720 +vt 0.826448 0.442301 +vt 0.825212 0.447843 +vt 0.823036 0.448252 +vt 0.826719 0.435444 +vt 0.828839 0.436738 +vt 0.840337 0.422200 +vt 0.839743 0.426186 +vt 0.837498 0.426730 +vt 0.837449 0.423001 +vt 0.835562 0.427574 +vt 0.834933 0.424111 +vt 0.843505 0.422129 +vt 0.842354 0.426012 +vt 0.833588 0.429146 +vt 0.832253 0.426350 +vt 0.831308 0.432241 +vt 0.829519 0.430240 +vt 0.824061 0.434409 +vt 0.821446 0.441652 +vt 0.827315 0.428249 +vt 0.819734 0.457719 +vt 0.820998 0.466881 +vt 0.825776 0.471903 +vt 0.840985 0.418070 +vt 0.837301 0.419145 +vt 0.833909 0.420900 +vt 0.844751 0.417957 +vt 0.830563 0.423878 +vt 0.819997 0.449438 +vt 0.848582 0.418634 +vt 0.846850 0.422865 +vt 0.824867 0.477797 +vt 0.824040 0.483168 +vt 0.820970 0.433462 +vt 0.818202 0.441246 +vt 0.816531 0.449852 +vt 0.815702 0.458704 +vt 0.820397 0.476051 +vt 0.820112 0.483168 +vt 0.815634 0.468046 +vt 0.815595 0.476236 +vt 0.812921 0.449878 +vt 0.811985 0.459105 +vt 0.817871 0.432270 +vt 0.814816 0.440763 +vt 0.815406 0.483168 +vt 0.811670 0.468739 +vt 0.811663 0.476551 +vt 0.811298 0.483168 +vt 0.793761 0.414156 +vt 0.799120 0.418878 +vt 0.794004 0.431643 +vt 0.787405 0.427342 +vt 0.790113 0.443994 +vt 0.783087 0.440797 +vt 0.787471 0.455691 +vt 0.780167 0.453963 +vt 0.845980 0.413361 +vt 0.841352 0.413532 +vt 0.836930 0.414821 +vt 0.832858 0.417390 +vt 0.828545 0.421252 +vt 0.824692 0.426571 +vt 0.850543 0.414230 +vt 0.826629 0.418393 +vt 0.821996 0.424696 +vt 0.831511 0.413454 +vt 0.836525 0.410027 +vt 0.810839 0.393178 +vt 0.814020 0.397892 +vt 0.806143 0.407754 +vt 0.801811 0.402978 +vt 0.787637 0.408912 +vt 0.796545 0.397116 +vt 0.804121 0.423019 +vt 0.810082 0.412134 +vt 0.821335 0.385052 +vt 0.807295 0.388325 +vt 0.819576 0.381156 +vt 0.718699 0.351207 +vt 0.725453 0.382823 +vt 0.709928 0.391367 +vt 0.701241 0.353030 +vt 0.870250 0.483168 +vt 0.868190 0.483168 +vt 0.868127 0.480837 +vt 0.870032 0.481166 +vt 0.868818 0.474177 +vt 0.868276 0.476491 +vt 0.866324 0.475866 +vt 0.866724 0.473129 +vt 0.869573 0.471625 +vt 0.867999 0.470664 +vt 0.863755 0.474936 +vt 0.864653 0.472044 +vt 0.866036 0.468995 +vt 0.866047 0.478334 +vt 0.868161 0.478808 +vt 0.865896 0.480564 +vt 0.865857 0.483168 +vt 0.863004 0.483168 +vt 0.863193 0.480220 +vt 0.863340 0.477699 +vt 0.869942 0.479192 +vt 0.868256 0.466282 +vt 0.871518 0.464213 +vt 0.872491 0.465879 +vt 0.869780 0.468217 +vt 0.875450 0.477631 +vt 0.876798 0.478789 +vt 0.876614 0.479608 +vt 0.874696 0.478556 +vt 0.874665 0.470634 +vt 0.876592 0.468151 +vt 0.878003 0.468817 +vt 0.875540 0.471194 +vt 0.874540 0.480302 +vt 0.876682 0.480619 +vt 0.876754 0.481754 +vt 0.874595 0.481648 +vt 0.878685 0.478909 +vt 0.878776 0.479864 +vt 0.876669 0.483168 +vt 0.874616 0.483168 +vt 0.879225 0.480803 +vt 0.879423 0.481836 +vt 0.880479 0.478542 +vt 0.880973 0.479330 +vt 0.879667 0.483168 +vt 0.881671 0.480626 +vt 0.882221 0.481776 +vt 0.882000 0.477317 +vt 0.883056 0.477886 +vt 0.882671 0.483168 +vt 0.882190 0.472043 +vt 0.883563 0.471809 +vt 0.883960 0.475190 +vt 0.882953 0.475115 +vt 0.880873 0.469707 +vt 0.881304 0.472253 +vt 0.880273 0.471020 +vt 0.876097 0.476396 +vt 0.876207 0.477201 +vt 0.875192 0.476615 +vt 0.876855 0.472718 +vt 0.876244 0.474406 +vt 0.875334 0.474013 +vt 0.876423 0.472073 +vt 0.878653 0.471154 +vt 0.878306 0.470296 +vt 0.877019 0.478232 +vt 0.878684 0.478220 +vt 0.880104 0.477884 +vt 0.881180 0.476746 +vt 0.881839 0.474991 +vt 0.874477 0.473648 +vt 0.871836 0.483168 +vt 0.871599 0.481383 +vt 0.872985 0.481603 +vt 0.873190 0.483168 +vt 0.874219 0.476270 +vt 0.870001 0.476995 +vt 0.870316 0.474700 +vt 0.870948 0.469261 +vt 0.871972 0.469852 +vt 0.870945 0.472181 +vt 0.872932 0.467130 +vt 0.873161 0.468164 +vt 0.881108 0.468198 +vt 0.874770 0.458849 +vt 0.873188 0.453922 +vt 0.878989 0.449982 +vt 0.880345 0.455542 +vt 0.883481 0.480074 +vt 0.883945 0.481655 +vt 0.884322 0.483168 +vt 0.879854 0.471938 +vt 0.878798 0.472278 +vt 0.880692 0.472774 +vt 0.879703 0.477015 +vt 0.880665 0.476263 +vt 0.877276 0.476627 +vt 0.877789 0.477172 +vt 0.877568 0.473140 +vt 0.878677 0.477316 +vt 0.876843 0.475879 +vt 0.881098 0.474967 +vt 0.877437 0.474466 +vt 0.886799 0.483168 +vt 0.886553 0.481431 +vt 0.897883 0.462182 +vt 0.902785 0.459047 +vt 0.904263 0.460476 +vt 0.900338 0.463170 +vt 0.916660 0.464538 +vt 0.917769 0.463862 +vt 0.922010 0.467878 +vt 0.920201 0.468818 +vt 0.913933 0.462248 +vt 0.914795 0.461437 +vt 0.896072 0.483167 +vt 0.893268 0.483169 +vt 0.893292 0.482000 +vt 0.895969 0.481717 +vt 0.890140 0.483169 +vt 0.890031 0.481625 +vt 0.879876 0.475359 +vt 0.880209 0.474643 +vt 0.878169 0.473716 +vt 0.878707 0.473024 +vt 0.879820 0.473730 +vt 0.879234 0.473145 +vt 0.877635 0.476097 +vt 0.878029 0.476235 +vt 0.878586 0.476389 +vt 0.877585 0.475527 +vt 0.877746 0.474735 +vt 0.879301 0.476072 +vt 0.878108 0.475530 +vt 0.878332 0.474838 +vt 0.878719 0.474011 +vt 0.878548 0.475735 +vt 0.878884 0.475290 +vt 0.879315 0.474552 +vt 0.917595 0.459313 +vt 0.920669 0.462241 +vt 0.924064 0.466739 +vt 0.904996 0.461741 +vt 0.901841 0.464092 +vt 0.889653 0.479659 +vt 0.886174 0.479619 +vt 0.902956 0.464985 +vt 0.900731 0.467572 +vt 0.899463 0.466811 +vt 0.903643 0.465814 +vt 0.901809 0.468321 +vt 0.904500 0.466597 +vt 0.905247 0.467177 +vt 0.904071 0.469706 +vt 0.903178 0.469016 +vt 0.906429 0.467917 +vt 0.905054 0.470486 +vt 0.907384 0.468341 +vt 0.906404 0.471320 +vt 0.908915 0.462986 +vt 0.908916 0.461723 +vt 0.910382 0.461818 +vt 0.910129 0.462653 +vt 0.909066 0.463753 +vt 0.909918 0.463841 +vt 0.909503 0.465701 +vt 0.909235 0.464581 +vt 0.909918 0.464890 +vt 0.909826 0.466093 +vt 0.909572 0.466753 +vt 0.909650 0.466973 +vt 0.914889 0.466692 +vt 0.912816 0.464621 +vt 0.913242 0.463552 +vt 0.915619 0.465794 +vt 0.910886 0.467954 +vt 0.910100 0.467382 +vt 0.911083 0.466795 +vt 0.912375 0.468080 +vt 0.905699 0.462964 +vt 0.906195 0.464034 +vt 0.906686 0.465021 +vt 0.906923 0.465734 +vt 0.907433 0.466454 +vt 0.908243 0.467021 +vt 0.908810 0.458967 +vt 0.911240 0.459090 +vt 0.910869 0.460424 +vt 0.908916 0.460296 +vt 0.914155 0.467413 +vt 0.912445 0.465481 +vt 0.911900 0.466109 +vt 0.913390 0.467874 +vt 0.893049 0.479784 +vt 0.892239 0.477350 +vt 0.894931 0.477796 +vt 0.895388 0.479765 +vt 0.897642 0.472951 +vt 0.898885 0.470291 +vt 0.899937 0.470812 +vt 0.898795 0.473413 +vt 0.900260 0.473812 +vt 0.901305 0.471469 +vt 0.902639 0.472169 +vt 0.901666 0.474313 +vt 0.889245 0.477316 +vt 0.885871 0.477395 +vt 0.885918 0.474942 +vt 0.889065 0.474875 +vt 0.893039 0.472058 +vt 0.894751 0.468732 +vt 0.897636 0.469537 +vt 0.896317 0.472665 +vt 0.899153 0.478215 +vt 0.899489 0.476283 +vt 0.901056 0.476491 +vt 0.900894 0.478343 +vt 0.896436 0.478008 +vt 0.896765 0.475737 +vt 0.897830 0.476104 +vt 0.897233 0.478133 +vt 0.899500 0.479986 +vt 0.901052 0.480132 +vt 0.896923 0.479778 +vt 0.897757 0.479866 +vt 0.899801 0.481868 +vt 0.901151 0.482014 +vt 0.897697 0.481747 +vt 0.898255 0.481758 +vt 0.899817 0.483169 +vt 0.901121 0.483171 +vt 0.897749 0.483167 +vt 0.898367 0.483167 +vt 0.903211 0.475051 +vt 0.903069 0.476817 +vt 0.903232 0.478423 +vt 0.903175 0.480324 +vt 0.903220 0.481881 +vt 0.903070 0.483170 +vt 0.895100 0.475466 +vt 0.917119 0.470228 +vt 0.918503 0.469623 +vt 0.913333 0.471833 +vt 0.915085 0.471631 +vt 0.916059 0.471011 +vt 0.923172 0.473819 +vt 0.920723 0.474307 +vt 0.918638 0.475086 +vt 0.917209 0.475475 +vt 0.915731 0.475740 +vt 0.914495 0.476191 +vt 0.917993 0.479912 +vt 0.919461 0.479794 +vt 0.921514 0.479598 +vt 0.927019 0.478906 +vt 0.925192 0.472866 +vt 0.927630 0.472318 +vt 0.929571 0.478532 +vt 0.924369 0.479370 +vt 0.914895 0.479906 +vt 0.916181 0.479870 +vt 0.913217 0.476533 +vt 0.912073 0.472035 +vt 0.914101 0.479960 +vt 0.905296 0.476999 +vt 0.905137 0.478493 +vt 0.905366 0.480519 +vt 0.905585 0.475954 +vt 0.911458 0.476898 +vt 0.910731 0.470830 +vt 0.905417 0.481945 +vt 0.905022 0.483166 +vt 0.909419 0.467071 +vt 0.909540 0.467080 +vt 0.906650 0.481916 +vt 0.906642 0.483162 +vt 0.908638 0.468582 +vt 0.909006 0.467375 +vt 0.906716 0.477199 +vt 0.906701 0.478475 +vt 0.909662 0.467283 +vt 0.909900 0.468497 +vt 0.825700 0.027150 +vt 0.824506 0.031431 +vt 0.816647 0.040494 +vt 0.814875 0.037576 +vt 0.906753 0.480470 +vt 0.911416 0.479732 +vt 0.906734 0.476077 +vt 0.907547 0.471774 +vt 0.780206 0.013682 +vt 0.777768 0.016527 +vt 0.776449 0.014560 +vt 0.778281 0.011863 +vt 0.786609 0.018293 +vt 0.782541 0.021789 +vt 0.779942 0.019093 +vt 0.783185 0.015695 +vt 0.831886 0.024899 +vt 0.830797 0.028769 +vt 0.790781 0.022033 +vt 0.786981 0.025611 +vt 0.785255 0.024105 +vt 0.789012 0.020287 +vt 0.810768 0.046046 +vt 0.807993 0.044493 +vt 0.811092 0.041095 +vt 0.814059 0.043665 +vt 0.797892 0.037055 +vt 0.801692 0.034810 +vt 0.802853 0.038003 +vt 0.799709 0.040063 +vt 0.793786 0.032221 +vt 0.797367 0.029583 +vt 0.819814 0.042734 +vt 0.825986 0.036356 +vt 0.803865 0.045835 +vt 0.804851 0.043090 +vt 0.805935 0.044493 +vt 0.805609 0.047052 +vt 0.816834 0.045955 +vt 0.801485 0.047135 +vt 0.805139 0.048766 +vt 0.773811 0.021802 +vt 0.772343 0.020189 +vt 0.778384 0.026039 +vt 0.776033 0.023724 +vt 0.832714 0.033845 +vt 0.782282 0.029544 +vt 0.780673 0.028248 +vt 0.813313 0.048145 +vt 0.792806 0.039152 +vt 0.795242 0.041796 +vt 0.788965 0.035542 +vt 0.827635 0.040457 +vt 0.822241 0.044890 +vt 0.824576 0.049553 +vt 0.828372 0.047182 +vt 0.818806 0.047694 +vt 0.799250 0.048861 +vt 0.804502 0.050343 +vt 0.770595 0.026706 +vt 0.769084 0.025385 +vt 0.774735 0.030350 +vt 0.772555 0.028508 +vt 0.834018 0.037754 +vt 0.778361 0.033243 +vt 0.776870 0.032075 +vt 0.814900 0.049642 +vt 0.788500 0.041504 +vt 0.791294 0.043906 +vt 0.784782 0.037965 +vt 0.834586 0.097267 +vt 0.840687 0.096900 +vt 0.840687 0.101891 +vt 0.834536 0.102177 +vt 0.784571 0.045533 +vt 0.787677 0.047579 +vt 0.780758 0.043105 +vt 0.833379 0.076251 +vt 0.840687 0.075983 +vt 0.773340 0.037943 +vt 0.771401 0.036305 +vt 0.829159 0.053781 +vt 0.825395 0.056036 +vt 0.820929 0.051433 +vt 0.834081 0.064450 +vt 0.840687 0.063468 +vt 0.797033 0.051944 +vt 0.803915 0.053095 +vt 0.767359 0.033108 +vt 0.765685 0.032182 +vt 0.834541 0.052315 +vt 0.840687 0.052882 +vt 0.769127 0.034554 +vt 0.835494 0.044411 +vt 0.774768 0.038961 +vt 0.816548 0.052760 +vt 0.762650 0.045321 +vt 0.760964 0.044845 +vt 0.840687 0.044737 +vt 0.767349 0.047934 +vt 0.764977 0.046608 +vt 0.771390 0.049919 +vt 0.769950 0.049262 +vt 0.816831 0.058221 +vt 0.821663 0.057248 +vt 0.781332 0.053877 +vt 0.784835 0.055157 +vt 0.777516 0.052756 +vt 0.840687 0.036802 +vt 0.823856 0.065797 +vt 0.828332 0.064988 +vt 0.840687 0.033835 +vt 0.795366 0.057886 +vt 0.802884 0.058396 +vt 0.820260 0.066555 +vt 0.840687 0.028812 +vt 0.794547 0.067403 +vt 0.802324 0.067410 +vt 0.759568 0.062297 +vt 0.757634 0.061881 +vt 0.840687 0.024990 +vt 0.765135 0.063836 +vt 0.762480 0.063163 +vt 0.769290 0.064551 +vt 0.767801 0.064311 +vt 0.816643 0.066856 +vt 0.779252 0.065374 +vt 0.782834 0.065651 +vt 0.776411 0.065276 +vt 0.913715 0.483148 +vt 0.911620 0.482955 +vt 0.828078 0.076932 +vt 0.823500 0.078004 +vt 0.830402 0.096335 +vt 0.826409 0.095066 +vt 0.819845 0.078458 +vt 0.914954 0.483148 +vt 0.794775 0.080335 +vt 0.802296 0.080079 +vt 0.760329 0.082815 +vt 0.758170 0.082193 +vt 0.916414 0.483150 +vt 0.767296 0.082303 +vt 0.764002 0.082619 +vt 0.773275 0.081617 +vt 0.770332 0.081889 +vt 0.816212 0.077990 +vt 0.781573 0.080655 +vt 0.784818 0.080473 +vt 0.778941 0.080944 +vt 0.917811 0.483152 +vt 0.765775 0.100732 +vt 0.763653 0.101406 +vt 0.919265 0.483154 +vt 0.771950 0.098762 +vt 0.769150 0.099904 +vt 0.777274 0.096969 +vt 0.774672 0.097667 +vt 0.816286 0.091659 +vt 0.822479 0.092353 +vt 0.785241 0.094819 +vt 0.788694 0.094237 +vt 0.782444 0.095432 +vt 0.921440 0.483158 +vt 0.831701 0.102748 +vt 0.828039 0.103373 +vt 0.924197 0.483162 +vt 0.798139 0.093699 +vt 0.804137 0.093552 +vt 0.791884 0.108186 +vt 0.795127 0.106979 +vt 0.789030 0.109356 +vt 0.781770 0.112887 +vt 0.779944 0.114157 +vt 0.823720 0.105058 +vt 0.802458 0.105587 +vt 0.806354 0.107271 +vt 0.775822 0.117393 +vt 0.773883 0.118236 +vt 0.777657 0.115992 +vt 0.783972 0.111778 +vt 0.818552 0.109545 +vt 0.819901 0.117929 +vt 0.822585 0.116898 +vt 0.829850 0.117531 +vt 0.825891 0.116559 +vt 0.840687 0.118141 +vt 0.833529 0.117152 +vt 0.798715 0.122007 +vt 0.800261 0.121263 +vt 0.796171 0.121360 +vt 0.786098 0.110545 +vt 0.793934 0.122849 +vt 0.805896 0.117095 +vt 0.811007 0.118294 +vt 0.786371 0.130818 +vt 0.785102 0.132118 +vt 0.788725 0.126647 +vt 0.787288 0.127915 +vt 0.793023 0.125793 +vt 0.791741 0.126883 +vt 0.816745 0.131773 +vt 0.815087 0.130236 +vt 0.785851 0.466180 +vt 0.778648 0.466063 +vt 0.933022 0.477915 +vt 0.930780 0.471495 +vt 0.909306 0.453812 +vt 0.913072 0.453912 +vt 0.912266 0.456237 +vt 0.908750 0.456820 +vt 0.919918 0.457506 +vt 0.923440 0.461177 +vt 0.927427 0.465481 +vt 0.962263 0.475622 +vt 0.961067 0.466373 +vt 0.967850 0.464027 +vt 0.968530 0.474996 +vt 0.939363 0.392390 +vt 0.931620 0.397581 +vt 0.924991 0.385193 +vt 0.931804 0.380447 +vt 0.342486 0.949612 +vt 0.343712 0.953440 +vt 0.339360 0.955770 +vt 0.337824 0.951413 +vt 0.340656 0.942293 +vt 0.335583 0.945351 +vt 0.336470 0.932713 +vt 0.331554 0.936982 +vt 0.329082 0.921085 +vt 0.323280 0.924429 +vt 0.318057 0.908327 +vt 0.312099 0.913339 +vt 0.306095 0.898100 +vt 0.300372 0.901974 +vt 0.350759 0.945096 +vt 0.352377 0.949444 +vt 0.348136 0.951138 +vt 0.346811 0.946906 +vt 0.348587 0.937914 +vt 0.344125 0.940442 +vt 0.345625 0.926882 +vt 0.341333 0.929707 +vt 0.340217 0.914559 +vt 0.334887 0.917636 +vt 0.330632 0.901790 +vt 0.324229 0.904845 +vt 0.317916 0.891229 +vt 0.312654 0.894127 +vt 0.913639 0.372373 +vt 0.920116 0.366633 +vt 0.977064 0.460238 +vt 0.990140 0.451840 +vt 0.992106 0.468958 +vt 0.977804 0.473694 +vt 0.376699 0.950586 +vt 0.376188 0.944152 +vt 0.378366 0.945153 +vt 0.378508 0.951394 +vt 0.375706 0.932303 +vt 0.378175 0.932480 +vt 0.375581 0.918694 +vt 0.377713 0.918562 +vt 0.364423 0.905456 +vt 0.370072 0.903992 +vt 0.371667 0.918952 +vt 0.366831 0.919450 +vt 0.372322 0.886407 +vt 0.374340 0.903036 +vt 0.367060 0.888334 +vt 0.376944 0.902813 +vt 0.376486 0.885820 +vt 0.360924 0.889168 +vt 0.369842 0.870442 +vt 0.375290 0.868808 +vt 0.367343 0.931919 +vt 0.363307 0.932426 +vt 0.361837 0.920338 +vt 0.380530 0.885508 +vt 0.380530 0.902464 +vt 0.354803 0.872849 +vt 0.362489 0.870439 +vt 0.324676 0.886586 +vt 0.336873 0.898337 +vt 0.345149 0.911745 +vt 0.349795 0.924436 +vt 0.380530 0.932436 +vt 0.380530 0.945988 +vt 0.944182 0.402931 +vt 0.938151 0.407948 +vt 0.779893 0.422401 +vt 0.331883 0.954541 +vt 0.329375 0.949293 +vt 0.306362 0.918324 +vt 0.293852 0.906368 +vt 0.317191 0.929322 +vt 0.325669 0.941736 +vt 0.927132 0.301515 +vt 0.917496 0.279389 +vt 0.933628 0.272221 +vt 0.942956 0.293106 +vt 0.300569 0.923794 +vt 0.287839 0.912998 +vt 0.954236 0.264676 +vt 0.963771 0.282878 +vt 0.319061 0.945938 +vt 0.310978 0.935257 +vt 0.910785 0.255341 +vt 0.926169 0.249820 +vt 0.294895 0.930336 +vt 0.283165 0.919662 +vt 0.945750 0.243287 +vt 0.311902 0.950454 +vt 0.304889 0.941105 +vt 0.905451 0.233210 +vt 0.919666 0.229507 +vt 0.290065 0.936819 +vt 0.278581 0.927135 +vt 0.939038 0.224217 +vt 0.306161 0.954986 +vt 0.299731 0.946952 +vt 0.900192 0.215427 +vt 0.914073 0.211917 +vt 0.284619 0.943811 +vt 0.275065 0.935450 +vt 0.933672 0.207803 +vt 0.301764 0.959214 +vt 0.294977 0.951824 +vt 0.894077 0.196215 +vt 0.908155 0.192759 +vt 0.281031 0.949383 +vt 0.272354 0.942437 +vt 0.926956 0.189146 +vt 0.297619 0.964413 +vt 0.290906 0.957600 +vt 0.884936 0.162965 +vt 0.882943 0.153731 +vt 0.898472 0.151554 +vt 0.899801 0.160093 +vt 0.276069 0.958974 +vt 0.274316 0.962204 +vt 0.266499 0.957822 +vt 0.268449 0.953924 +vt 0.918968 0.148696 +vt 0.919796 0.156800 +vt 0.290990 0.972190 +vt 0.289345 0.973856 +vt 0.283213 0.968308 +vt 0.284920 0.966516 +vt 0.713974 0.282909 +vt 0.704892 0.315010 +vt 0.686883 0.311036 +vt 0.698941 0.274989 +vt 0.668606 0.307311 +vt 0.683290 0.266690 +vt 0.746457 0.299071 +vt 0.739062 0.322720 +vt 0.721123 0.317899 +vt 0.728926 0.289750 +vt 0.792019 0.319302 +vt 0.788290 0.331058 +vt 0.772835 0.328631 +vt 0.777861 0.313363 +vt 0.756964 0.325404 +vt 0.762578 0.306587 +vt 0.855760 0.374439 +vt 0.844793 0.376702 +vt 0.844741 0.371374 +vt 0.856162 0.368683 +vt 0.833449 0.380329 +vt 0.832327 0.375010 +vt 0.757613 0.366070 +vt 0.754528 0.347154 +vt 0.771008 0.345933 +vt 0.773326 0.359844 +vt 0.866873 0.373225 +vt 0.867639 0.366160 +vt 0.852349 0.276388 +vt 0.837743 0.277881 +vt 0.831919 0.262987 +vt 0.848724 0.259976 +vt 0.736851 0.349392 +vt 0.741245 0.374355 +vt 0.824757 0.246755 +vt 0.842713 0.242859 +vt 0.916564 0.391797 +vt 0.905735 0.380839 +vt 0.334198 0.958422 +vt 0.914393 0.310305 +vt 0.904733 0.287321 +vt 0.899868 0.259287 +vt 0.894047 0.236770 +vt 0.887554 0.216827 +vt 0.882150 0.199088 +vt 0.864391 0.426625 +vt 0.860773 0.430911 +vt 0.856924 0.425157 +vt 0.860031 0.420833 +vt 0.842788 0.432708 +vt 0.843847 0.429950 +vt 0.851872 0.431392 +vt 0.854708 0.436057 +vt 0.845204 0.426500 +vt 0.848350 0.428294 +vt 0.846567 0.431267 +vt 0.857663 0.433718 +vt 0.854157 0.428685 +vt 0.897582 0.363801 +vt 0.901988 0.353901 +vt 0.892866 0.373933 +vt 0.380530 0.918514 +vt 0.380530 0.869364 +vt 0.959640 0.475900 +vt 0.958195 0.467185 +vt 0.955918 0.456737 +vt 0.951791 0.444568 +vt 0.955457 0.441129 +vt 0.959342 0.454614 +vt 0.960366 0.436513 +vt 0.965205 0.451175 +vt 0.950238 0.428777 +vt 0.946312 0.432824 +vt 0.954608 0.423891 +vt 0.366081 0.949479 +vt 0.364507 0.943506 +vt 0.368249 0.943499 +vt 0.369631 0.949610 +vt 0.371789 0.932218 +vt 0.354471 0.890891 +vt 0.346985 0.874491 +vt 0.359246 0.906483 +vt 0.372449 0.943634 +vt 0.373263 0.949928 +vt 0.966981 0.430000 +vt 0.973170 0.445621 +vt 0.960827 0.417699 +vt 0.968866 0.409273 +vt 0.975526 0.420305 +vt 0.932433 0.413482 +vt 0.924788 0.403219 +vt 0.357740 0.943591 +vt 0.359555 0.948921 +vt 0.356141 0.948815 +vt 0.354480 0.943886 +vt 0.349336 0.909462 +vt 0.353075 0.923064 +vt 0.342879 0.894985 +vt 0.331657 0.882802 +vt 0.946355 0.386703 +vt 0.939381 0.375032 +vt 0.948220 0.369133 +vt 0.954696 0.379759 +vt 0.917865 0.347930 +vt 0.910544 0.333890 +vt 0.922067 0.328466 +vt 0.930363 0.343050 +vt 0.951497 0.397335 +vt 0.959328 0.389714 +vt 0.929520 0.361664 +vt 0.939730 0.356865 +vt 0.903768 0.318920 +vt 0.804633 0.323920 +vt 0.801391 0.334068 +vt 0.815504 0.327837 +vt 0.813398 0.335433 +vt 0.867277 0.359625 +vt 0.856304 0.363446 +vt 0.643204 0.303920 +vt 0.662865 0.255739 +vt 0.881100 0.363912 +vt 0.880812 0.353272 +vt 0.772307 0.266788 +vt 0.758672 0.280985 +vt 0.744232 0.269063 +vt 0.761166 0.253513 +vt 0.895369 0.305051 +vt 0.863528 0.166317 +vt 0.862047 0.156257 +vt 0.870412 0.155382 +vt 0.872755 0.165014 +vt 0.846832 0.186404 +vt 0.830179 0.190824 +vt 0.827910 0.173392 +vt 0.845317 0.169321 +vt 0.849916 0.204996 +vt 0.834104 0.208657 +vt 0.877490 0.218812 +vt 0.872003 0.200964 +vt 0.883038 0.238444 +vt 0.888133 0.259101 +vt 0.891295 0.282089 +vt 0.888701 0.179003 +vt 0.876851 0.181555 +vt 0.814371 0.266168 +vt 0.806209 0.251377 +vt 0.804849 0.181146 +vt 0.780688 0.189089 +vt 0.773625 0.170750 +vt 0.800678 0.163929 +vt 0.821823 0.279795 +vt 0.817819 0.230930 +vt 0.797875 0.236446 +vt 0.791235 0.221616 +vt 0.812665 0.214840 +vt 0.841874 0.289913 +vt 0.829306 0.291814 +vt 0.812885 0.297183 +vt 0.804427 0.304046 +vt 0.794559 0.291818 +vt 0.805822 0.284459 +vt 0.787321 0.256976 +vt 0.778090 0.242932 +vt 0.796831 0.271074 +vt 0.783370 0.279348 +vt 0.754310 0.199048 +vt 0.728721 0.215411 +vt 0.716101 0.199117 +vt 0.745033 0.182318 +vt 0.750943 0.241688 +vt 0.770221 0.229715 +vt 0.731680 0.258820 +vt 0.797725 0.311115 +vt 0.785067 0.300924 +vt 0.772073 0.291397 +vt 0.706170 0.235764 +vt 0.687931 0.222737 +vt 0.702582 0.443697 +vt 0.690115 0.457404 +vt 0.660913 0.421668 +vt 0.680666 0.409965 +vt 0.736517 0.404615 +vt 0.724828 0.416851 +vt 0.774343 0.436495 +vt 0.765132 0.431382 +vt 0.772036 0.416827 +vt 0.781164 0.403167 +vt 0.791610 0.391693 +vt 0.694494 0.401835 +vt 0.683639 0.356204 +vt 0.837096 0.226036 +vt 0.777714 0.474991 +vt 0.784660 0.475601 +vt 0.784338 0.483168 +vt 0.777294 0.483168 +vt 0.770650 0.450369 +vt 0.759897 0.446053 +vt 0.775257 0.397685 +vt 0.765312 0.411550 +vt 0.786274 0.386326 +vt 0.808348 0.198366 +vt 0.776954 0.371075 +vt 0.763078 0.380392 +vt 0.749050 0.392327 +vt 0.757058 0.426348 +vt 0.983347 0.434787 +vt 0.898936 0.339267 +vt 0.894603 0.325739 +vt 0.887908 0.315226 +vt 0.886949 0.298205 +vt 0.845594 0.300055 +vt 0.835497 0.302104 +vt 0.820043 0.307498 +vt 0.813895 0.313401 +vt 0.808234 0.318349 +vt 0.769429 0.390786 +vt 0.757908 0.404398 +vt 0.781282 0.379837 +vt 0.826218 0.160223 +vt 0.748049 0.418656 +vt 0.741177 0.468783 +vt 0.753179 0.472298 +vt 0.752724 0.483168 +vt 0.739903 0.483168 +vt 0.294042 0.968422 +vt 0.287463 0.962192 +vt 0.641249 0.365449 +vt 0.666748 0.359717 +vt 0.866463 0.290918 +vt 0.865012 0.301236 +vt 0.855850 0.300024 +vt 0.855271 0.289964 +vt 0.713168 0.431509 +vt 0.739961 0.432960 +vt 0.733428 0.449577 +vt 0.767429 0.474203 +vt 0.766813 0.483168 +vt 0.786024 0.205875 +vt 0.903154 0.175904 +vt 0.923325 0.172603 +vt 0.719250 0.247776 +vt 0.727882 0.463274 +vt 0.722239 0.483168 +vt 0.278364 0.954370 +vt 0.270377 0.948845 +vt 0.762606 0.214721 +vt 0.740139 0.229003 +vt 0.750479 0.440755 +vt 0.930204 0.483166 +vt 0.927213 0.483164 +vt 0.933476 0.483168 +vt 0.380530 0.952212 +vt 0.993515 0.483168 +vt 0.977509 0.483168 +vt 0.968807 0.483168 +vt 0.962962 0.483168 +vt 0.959584 0.483168 +vt 0.849910 0.463320 +vt 0.851461 0.464702 +vt 0.848610 0.467824 +vt 0.847262 0.465825 +vt 0.942962 0.436223 +vt 0.948856 0.446855 +vt 0.953225 0.458114 +vt 0.955402 0.467945 +vt 0.956678 0.476089 +vt 0.355837 0.933852 +vt 0.352030 0.935051 +vt 0.847052 0.308510 +vt 0.839235 0.310053 +vt 0.827371 0.314510 +vt 0.821997 0.318784 +vt 0.755756 0.461114 +vt 0.769221 0.464546 +vt 0.745037 0.456680 +vt 0.835586 0.447908 +vt 0.837004 0.447869 +vt 0.837023 0.450538 +vt 0.835555 0.450797 +vt 0.837298 0.441324 +vt 0.836263 0.441089 +vt 0.837067 0.440462 +vt 0.837964 0.440861 +vt 0.836880 0.441849 +vt 0.835841 0.441687 +vt 0.836576 0.443232 +vt 0.835244 0.443250 +vt 0.835810 0.445294 +vt 0.834575 0.445344 +vt 0.836302 0.453681 +vt 0.841065 0.457875 +vt 0.840673 0.459155 +vt 0.838778 0.458245 +vt 0.838943 0.457127 +vt 0.839445 0.457329 +vt 0.839605 0.458627 +vt 0.840099 0.459343 +vt 0.842216 0.455802 +vt 0.842703 0.456146 +vt 0.842208 0.457092 +vt 0.841640 0.456714 +vt 0.842576 0.451946 +vt 0.843491 0.452185 +vt 0.843235 0.454629 +vt 0.842324 0.454341 +vt 0.837988 0.457700 +vt 0.842696 0.449795 +vt 0.843718 0.449792 +vt 0.837345 0.456243 +vt 0.841781 0.443203 +vt 0.842362 0.442706 +vt 0.843127 0.444540 +vt 0.842277 0.444860 +vt 0.840292 0.441263 +vt 0.840761 0.440951 +vt 0.841292 0.441351 +vt 0.840967 0.441589 +vt 0.838972 0.440995 +vt 0.838976 0.440301 +vt 0.839937 0.440559 +vt 0.839643 0.441111 +vt 0.838540 0.440915 +vt 0.838091 0.440164 +vt 0.839288 0.449867 +vt 0.841498 0.449735 +vt 0.841520 0.451929 +vt 0.839607 0.451985 +vt 0.839783 0.443946 +vt 0.840968 0.443671 +vt 0.841286 0.445246 +vt 0.839835 0.445128 +vt 0.838902 0.442630 +vt 0.838749 0.441881 +vt 0.838934 0.441814 +vt 0.838989 0.442585 +vt 0.838371 0.447587 +vt 0.837193 0.445417 +vt 0.838658 0.445224 +vt 0.839603 0.455496 +vt 0.838563 0.456750 +vt 0.838236 0.455713 +vt 0.839392 0.455042 +vt 0.841491 0.453992 +vt 0.840110 0.454244 +vt 0.839056 0.441796 +vt 0.839081 0.442598 +vt 0.837722 0.443665 +vt 0.838778 0.443971 +vt 0.839747 0.455736 +vt 0.839892 0.455942 +vt 0.840209 0.454991 +vt 0.841382 0.455371 +vt 0.841316 0.456138 +vt 0.840228 0.455480 +vt 0.839405 0.441815 +vt 0.839172 0.442670 +vt 0.838293 0.442646 +vt 0.838836 0.443092 +vt 0.839973 0.456059 +vt 0.839937 0.457508 +vt 0.839231 0.442780 +vt 0.839803 0.441938 +vt 0.840328 0.442375 +vt 0.839325 0.442932 +vt 0.838502 0.442162 +vt 0.838848 0.442773 +vt 0.840143 0.456076 +vt 0.840432 0.457337 +vt 0.838710 0.452971 +vt 0.837434 0.453377 +vt 0.838277 0.450160 +vt 0.840230 0.455877 +vt 0.840940 0.456738 +vt 0.064011 0.600965 +vt 0.076822 0.599128 +vt 0.074352 0.616041 +vt 0.059879 0.608573 +vt 0.041719 0.566625 +vt 0.041797 0.547391 +vt 0.055891 0.551327 +vt 0.047936 0.568049 +vt 0.023252 0.576141 +vt 0.011809 0.571181 +vt 0.014971 0.561919 +vt 0.027436 0.571398 +vt 0.021091 0.599730 +vt 0.013830 0.599323 +vt 0.013442 0.595923 +vt 0.020167 0.595914 +vt 0.044181 0.615721 +vt 0.041940 0.632858 +vt 0.026629 0.626557 +vt 0.036391 0.614846 +vt 0.064730 0.594028 +vt 0.073747 0.589692 +vt 0.065818 0.564817 +vt 0.052598 0.570703 +vt 0.013328 0.593275 +vt 0.019770 0.592365 +vt 0.019531 0.617443 +vt 0.030257 0.611797 +vt 0.072889 0.586239 +vt 0.063417 0.589336 +vt 0.061567 0.586256 +vt 0.071237 0.583094 +vt 0.054865 0.573314 +vt 0.066488 0.568809 +vt 0.066498 0.571167 +vt 0.056632 0.575931 +vt 0.013632 0.591420 +vt 0.019889 0.589117 +vt 0.015593 0.608627 +vt 0.025738 0.607821 +vt 0.059941 0.584064 +vt 0.069065 0.580762 +vt 0.020034 0.585756 +vt 0.012347 0.588029 +vt 0.011809 0.584484 +vt 0.020706 0.581731 +vt 0.014451 0.604052 +vt 0.022902 0.603788 +vt 0.059006 0.581990 +vt 0.068276 0.579764 +vt 0.059876 0.631540 +vt 0.052384 0.613671 +vt 0.058052 0.579379 +vt 0.067820 0.577067 +vt 0.055518 0.583534 +vt 0.056531 0.585423 +vt 0.053632 0.603101 +vt 0.048790 0.606299 +vt 0.029285 0.599839 +vt 0.027998 0.597086 +vt 0.043484 0.607451 +vt 0.054142 0.581501 +vt 0.056913 0.598573 +vt 0.041339 0.573483 +vt 0.045937 0.574344 +vt 0.028698 0.580933 +vt 0.031522 0.577488 +vt 0.027297 0.594451 +vt 0.038503 0.606969 +vt 0.058020 0.593948 +vt 0.048992 0.575913 +vt 0.026932 0.591875 +vt 0.034345 0.605198 +vt 0.057817 0.590290 +vt 0.057275 0.587558 +vt 0.050849 0.577424 +vt 0.052481 0.579135 +vt 0.026769 0.589451 +vt 0.031282 0.602643 +vt 0.026862 0.587213 +vt 0.027272 0.584506 +vt 0.043214 0.602897 +vt 0.039653 0.602699 +vt 0.054149 0.593515 +vt 0.052873 0.596799 +vt 0.044800 0.577980 +vt 0.047162 0.578906 +vt 0.030806 0.593608 +vt 0.030455 0.591518 +vt 0.036586 0.601570 +vt 0.054443 0.590631 +vt 0.054170 0.588333 +vt 0.048709 0.579889 +vt 0.050181 0.581119 +vt 0.030413 0.589523 +vt 0.034203 0.599831 +vt 0.053629 0.586474 +vt 0.030533 0.587775 +vt 0.030964 0.585822 +vt 0.032513 0.597817 +vt 0.052856 0.584812 +vt 0.050349 0.599856 +vt 0.046923 0.601944 +vt 0.031479 0.595700 +vt 0.051767 0.582978 +vt 0.041373 0.577623 +vt 0.032060 0.583301 +vt 0.034107 0.580749 +vt 0.043122 0.600459 +vt 0.046011 0.599657 +vt 0.050381 0.583892 +vt 0.051430 0.585525 +vt 0.050790 0.595753 +vt 0.048720 0.598074 +vt 0.041484 0.579851 +vt 0.044279 0.579998 +vt 0.033898 0.584534 +vt 0.035569 0.582494 +vt 0.033324 0.594924 +vt 0.032704 0.593118 +vt 0.040296 0.600378 +vt 0.052023 0.593200 +vt 0.046236 0.580618 +vt 0.032400 0.591282 +vt 0.037808 0.599576 +vt 0.052495 0.590809 +vt 0.052441 0.588774 +vt 0.047569 0.581322 +vt 0.048892 0.582304 +vt 0.032368 0.589559 +vt 0.035812 0.598258 +vt 0.052066 0.587072 +vt 0.032558 0.588097 +vt 0.032958 0.586531 +vt 0.034332 0.596655 +vt 0.036812 0.597230 +vt 0.035467 0.595897 +vt 0.034519 0.594404 +vt 0.033924 0.592807 +vt 0.033623 0.589627 +vt 0.033622 0.591161 +vt 0.049500 0.584564 +vt 0.050459 0.586060 +vt 0.034186 0.587029 +vt 0.033798 0.588357 +vt 0.036499 0.583615 +vt 0.035035 0.585349 +vt 0.044040 0.581307 +vt 0.041618 0.581275 +vt 0.043080 0.598911 +vt 0.040702 0.598900 +vt 0.045741 0.581761 +vt 0.047747 0.596888 +vt 0.049527 0.595037 +vt 0.051021 0.587505 +vt 0.051212 0.590903 +vt 0.051277 0.589084 +vt 0.046920 0.582320 +vt 0.048114 0.583158 +vt 0.050674 0.592942 +vt 0.045506 0.598230 +vt 0.038571 0.598288 +vt 0.037609 0.596364 +vt 0.039177 0.597227 +vt 0.050134 0.590945 +vt 0.050277 0.589325 +vt 0.049594 0.592686 +vt 0.046442 0.583208 +vt 0.045401 0.582741 +vt 0.043891 0.582416 +vt 0.041761 0.582456 +vt 0.047005 0.595932 +vt 0.048557 0.594419 +vt 0.034667 0.589733 +vt 0.034685 0.591091 +vt 0.041018 0.597700 +vt 0.043042 0.597673 +vt 0.034834 0.588629 +vt 0.036389 0.595249 +vt 0.045104 0.597067 +vt 0.050106 0.587881 +vt 0.049630 0.586557 +vt 0.037273 0.584547 +vt 0.035972 0.586051 +vt 0.035521 0.593968 +vt 0.048765 0.585208 +vt 0.034958 0.592562 +vt 0.035196 0.587494 +vt 0.035910 0.588921 +vt 0.035773 0.589850 +vt 0.037303 0.594553 +vt 0.038383 0.595458 +vt 0.046313 0.595004 +vt 0.047640 0.593783 +vt 0.048743 0.587089 +vt 0.047984 0.585909 +vt 0.049128 0.588245 +vt 0.038059 0.585453 +vt 0.036928 0.586751 +vt 0.036542 0.593493 +vt 0.042980 0.596491 +vt 0.044705 0.595960 +vt 0.049221 0.589513 +vt 0.045050 0.583774 +vt 0.043736 0.583546 +vt 0.036060 0.592295 +vt 0.049042 0.590921 +vt 0.048543 0.592383 +vt 0.036235 0.587969 +vt 0.035811 0.591019 +vt 0.039746 0.596158 +vt 0.041298 0.596536 +vt 0.045960 0.584141 +vt 0.041887 0.583632 +vt 0.047862 0.588644 +vt 0.047572 0.587710 +vt 0.038969 0.586443 +vt 0.038049 0.587485 +vt 0.037744 0.592848 +vt 0.038355 0.593664 +vt 0.042850 0.595164 +vt 0.044200 0.594728 +vt 0.047894 0.589678 +vt 0.044564 0.584986 +vt 0.043476 0.584841 +vt 0.037384 0.591888 +vt 0.047711 0.590824 +vt 0.047298 0.591981 +vt 0.037469 0.588451 +vt 0.037186 0.590862 +vt 0.040335 0.594896 +vt 0.041550 0.595202 +vt 0.046571 0.593057 +vt 0.045313 0.585264 +vt 0.041978 0.584947 +vt 0.037113 0.589933 +vt 0.039234 0.594349 +vt 0.045501 0.593993 +vt 0.037191 0.589200 +vt 0.046951 0.586748 +vt 0.040904 0.588885 +vt 0.039047 0.588871 +vt 0.039431 0.588208 +vt 0.041019 0.588512 +vt 0.038878 0.589387 +vt 0.040899 0.589212 +vt 0.040987 0.589591 +vt 0.038851 0.589905 +vt 0.045155 0.592214 +vt 0.043545 0.591648 +vt 0.043696 0.591226 +vt 0.045646 0.591485 +vt 0.041785 0.591731 +vt 0.040314 0.592972 +vt 0.039718 0.592496 +vt 0.041528 0.591376 +vt 0.042005 0.586409 +vt 0.041955 0.587496 +vt 0.041334 0.587719 +vt 0.040840 0.586818 +vt 0.042075 0.592034 +vt 0.041048 0.593359 +vt 0.043013 0.586355 +vt 0.042284 0.587678 +vt 0.040025 0.587477 +vt 0.041180 0.588106 +vt 0.043305 0.592011 +vt 0.044439 0.592841 +vt 0.043579 0.593342 +vt 0.043079 0.592346 +vt 0.039308 0.591933 +vt 0.041340 0.590965 +vt 0.042594 0.592492 +vt 0.042667 0.593634 +vt 0.041836 0.593603 +vt 0.042349 0.592274 +vt 0.043028 0.588366 +vt 0.044791 0.587072 +vt 0.045412 0.587753 +vt 0.043358 0.588807 +vt 0.043759 0.586462 +vt 0.042574 0.587868 +vt 0.045865 0.588442 +vt 0.043610 0.589272 +vt 0.039069 0.591269 +vt 0.041212 0.590512 +vt 0.042785 0.588077 +vt 0.044271 0.586670 +vt 0.038922 0.590555 +vt 0.041098 0.590039 +vt 0.046061 0.589119 +vt 0.043742 0.589739 +vt 0.045926 0.590681 +vt 0.043762 0.590743 +vt 0.043781 0.590233 +vt 0.046066 0.589864 +vt 0.040263 0.585520 +vt 0.852747 0.421052 +vt 0.855326 0.416671 +vt 0.878458 0.372501 +vt 0.881629 0.340418 +vt 0.850477 0.425011 +vt 0.844932 0.433846 +vt 0.842973 0.438054 +vt 0.843870 0.436185 +vt 0.842181 0.439833 +vt 0.841730 0.441016 +vt 0.269293 0.858633 +vt 0.250662 0.848891 +vt 0.257625 0.840623 +vt 0.275868 0.850176 +vt 0.235094 0.841650 +vt 0.241048 0.834484 +vt 0.222443 0.835771 +vt 0.229287 0.828387 +vt 0.212710 0.832788 +vt 0.218196 0.825026 +vt 0.205374 0.831297 +vt 0.209718 0.823323 +vt 0.199403 0.829973 +vt 0.194062 0.829214 +vt 0.197934 0.820587 +vt 0.203403 0.821619 +vt 0.188239 0.828307 +vt 0.192198 0.819224 +vt 0.181317 0.827495 +vt 0.185274 0.818181 +vt 0.173169 0.826409 +vt 0.176109 0.817227 +vt 0.265689 0.833251 +vt 0.283617 0.842310 +vt 0.250181 0.827996 +vt 0.238179 0.821965 +vt 0.226783 0.816826 +vt 0.217321 0.814007 +vt 0.203680 0.810138 +vt 0.209980 0.811847 +vt 0.197544 0.808793 +vt 0.189642 0.807559 +vt 0.180108 0.806761 +vt 0.291691 0.820570 +vt 0.273261 0.814528 +vt 0.286750 0.807020 +vt 0.312087 0.813543 +vt 0.258693 0.809061 +vt 0.268553 0.801274 +vt 0.246538 0.802595 +vt 0.254966 0.794025 +vt 0.235512 0.796789 +vt 0.242288 0.787688 +vt 0.226204 0.791419 +vt 0.218086 0.787721 +vt 0.221679 0.775454 +vt 0.231871 0.781576 +vt 0.210435 0.784703 +vt 0.209829 0.767216 +vt 0.200787 0.784213 +vt 0.199981 0.767989 +vt 0.185773 0.786111 +vt 0.186383 0.772143 +vt 0.338182 0.812879 +vt 0.339132 0.801090 +vt 0.359055 0.801690 +vt 0.358930 0.811900 +vt 0.296851 0.798129 +vt 0.318915 0.801399 +vt 0.277207 0.792261 +vt 0.261553 0.784420 +vt 0.247833 0.777824 +vt 0.225704 0.764859 +vt 0.236730 0.771641 +vt 0.214006 0.757072 +vt 0.198891 0.753051 +vt 0.202160 0.747728 +vt 0.183402 0.759602 +vt 0.192827 0.756018 +vt 0.380530 0.800363 +vt 0.380530 0.810403 +vt 0.371218 0.811051 +vt 0.371397 0.800979 +vt 0.304758 0.789362 +vt 0.324629 0.791511 +vt 0.284503 0.783581 +vt 0.267461 0.775892 +vt 0.253687 0.769215 +vt 0.230237 0.755981 +vt 0.242059 0.762613 +vt 0.217731 0.749528 +vt 0.183377 0.748014 +vt 0.187962 0.743727 +vt 0.311490 0.779949 +vt 0.329918 0.781530 +vt 0.290721 0.774102 +vt 0.273547 0.766452 +vt 0.260288 0.760089 +vt 0.235886 0.746939 +vt 0.248415 0.753505 +vt 0.222401 0.741441 +vt 0.204890 0.742222 +vt 0.208397 0.735350 +vt 0.316075 0.769955 +vt 0.333298 0.772737 +vt 0.295838 0.763512 +vt 0.279859 0.755606 +vt 0.268046 0.749659 +vt 0.242987 0.736461 +vt 0.256259 0.743627 +vt 0.228481 0.731269 +vt 0.212880 0.726121 +vt 0.380530 0.773064 +vt 0.371258 0.776475 +vt 0.371621 0.765129 +vt 0.380530 0.760407 +vt 0.320649 0.758363 +vt 0.336921 0.760037 +vt 0.300974 0.752407 +vt 0.287205 0.744378 +vt 0.277458 0.736985 +vt 0.251470 0.723519 +vt 0.266126 0.731681 +vt 0.235447 0.717640 +vt 0.218345 0.713378 +vt 0.374353 0.745493 +vt 0.380530 0.743162 +vt 0.380530 0.791168 +vt 0.371324 0.791304 +vt 0.317956 0.870535 +vt 0.309444 0.875106 +vt 0.263631 0.865612 +vt 0.245860 0.856433 +vt 0.230868 0.849030 +vt 0.217949 0.843636 +vt 0.209124 0.840790 +vt 0.202662 0.839153 +vt 0.197050 0.837859 +vt 0.191701 0.836907 +vt 0.185685 0.835759 +vt 0.179086 0.834892 +vt 0.171251 0.834837 +vt 0.360050 0.791926 +vt 0.363859 0.768079 +vt 0.366368 0.750475 +vt 0.324051 0.826969 +vt 0.342480 0.824726 +vt 0.361696 0.779261 +vt 0.358276 0.823324 +vt 0.307991 0.831184 +vt 0.355998 0.852895 +vt 0.346304 0.856262 +vt 0.365083 0.851835 +vt 0.336444 0.860941 +vt 0.286102 0.868548 +vt 0.294459 0.862102 +vt 0.301842 0.879958 +vt 0.295751 0.883480 +vt 0.270345 0.910563 +vt 0.268054 0.918966 +vt 0.263571 0.944530 +vt 0.262385 0.950945 +vt 0.273177 0.903630 +vt 0.261378 0.956178 +vt 0.264291 0.937236 +vt 0.277115 0.897718 +vt 0.288530 0.887771 +vt 0.282163 0.892732 +vt 0.265370 0.929347 +vt 0.266288 0.884166 +vt 0.262174 0.889523 +vt 0.256689 0.924107 +vt 0.256659 0.933204 +vt 0.272079 0.879130 +vt 0.257976 0.912699 +vt 0.258287 0.903252 +vt 0.259800 0.896055 +vt 0.256506 0.941205 +vt 0.256058 0.948783 +vt 0.255158 0.954843 +vt 0.249585 0.947285 +vt 0.249210 0.954370 +vt 0.248307 0.899039 +vt 0.248859 0.907926 +vt 0.248856 0.919288 +vt 0.249329 0.929450 +vt 0.256962 0.871015 +vt 0.252564 0.876945 +vt 0.249454 0.938536 +vt 0.249399 0.883237 +vt 0.248269 0.890750 +vt 0.302702 0.857885 +vt 0.348339 0.837644 +vt 0.336393 0.841004 +vt 0.360042 0.836272 +vt 0.324827 0.847386 +vt 0.278581 0.874128 +vt 0.375530 0.850719 +vt 0.380530 0.851790 +vt 0.371533 0.835724 +vt 0.380530 0.838656 +vt 0.370471 0.822631 +vt 0.380530 0.822414 +vt 0.341991 0.791681 +vt 0.344767 0.781917 +vt 0.348167 0.771751 +vt 0.351834 0.758673 +vt 0.243178 0.946783 +vt 0.243165 0.954552 +vt 0.238605 0.869624 +vt 0.237369 0.877606 +vt 0.242886 0.937001 +vt 0.242373 0.926688 +vt 0.237846 0.886514 +vt 0.239178 0.896045 +vt 0.240733 0.906235 +vt 0.241596 0.916621 +vt 0.241224 0.862617 +vt 0.230623 0.893834 +vt 0.233057 0.905627 +vt 0.234531 0.916394 +vt 0.235734 0.925995 +vt 0.226712 0.855873 +vt 0.224944 0.863414 +vt 0.237252 0.947680 +vt 0.237613 0.955185 +vt 0.225952 0.872772 +vt 0.236574 0.937415 +vt 0.228094 0.882642 +vt 0.225739 0.906539 +vt 0.219250 0.910581 +vt 0.216083 0.900041 +vt 0.221393 0.892190 +vt 0.155883 0.692159 +vt 0.160402 0.685655 +vt 0.167293 0.691813 +vt 0.161812 0.699316 +vt 0.213213 0.914650 +vt 0.210729 0.905797 +vt 0.147746 0.702481 +vt 0.151589 0.697208 +vt 0.157557 0.704464 +vt 0.152965 0.709724 +vt 0.227694 0.918172 +vt 0.221200 0.920865 +vt 0.149705 0.685835 +vt 0.154456 0.680131 +vt 0.214939 0.923380 +vt 0.142109 0.695962 +vt 0.145689 0.690506 +vt 0.228942 0.928981 +vt 0.222885 0.931768 +vt 0.144519 0.680972 +vt 0.149080 0.675535 +vt 0.217099 0.933922 +vt 0.137133 0.689793 +vt 0.140576 0.685571 +vt 0.230350 0.938797 +vt 0.223908 0.940438 +vt 0.139419 0.676273 +vt 0.143968 0.671106 +vt 0.218069 0.942097 +vt 0.132074 0.684607 +vt 0.135501 0.680603 +vt 0.231124 0.947867 +vt 0.224881 0.948791 +vt 0.133853 0.672051 +vt 0.138771 0.666424 +vt 0.218816 0.950080 +vt 0.126751 0.679482 +vt 0.130058 0.675935 +vt 0.231907 0.956092 +vt 0.225940 0.957217 +vt 0.127244 0.666495 +vt 0.132177 0.660616 +vt 0.220770 0.958300 +vt 0.120482 0.674153 +vt 0.123704 0.670501 +vt 0.214819 0.851677 +vt 0.215132 0.860479 +vt 0.216349 0.869244 +vt 0.219095 0.879025 +vt 0.193580 0.882926 +vt 0.192221 0.888133 +vt 0.188353 0.886460 +vt 0.188917 0.881600 +vt 0.206655 0.849193 +vt 0.207106 0.858011 +vt 0.163651 0.711209 +vt 0.169256 0.705615 +vt 0.177561 0.712006 +vt 0.171058 0.718624 +vt 0.208689 0.866323 +vt 0.175121 0.698584 +vt 0.183562 0.704652 +vt 0.211302 0.874785 +vt 0.199870 0.884493 +vt 0.198478 0.890226 +vt 0.183712 0.722899 +vt 0.181120 0.728431 +vt 0.171072 0.725074 +vt 0.161296 0.721115 +vt 0.163652 0.725397 +vt 0.200883 0.847464 +vt 0.200766 0.856134 +vt 0.188205 0.716135 +vt 0.202713 0.864312 +vt 0.193235 0.708151 +vt 0.204888 0.872120 +vt 0.212937 0.884074 +vt 0.206320 0.879925 +vt 0.211160 0.892042 +vt 0.205696 0.887193 +vt 0.171418 0.729346 +vt 0.165601 0.728901 +vt 0.179751 0.732778 +vt 0.195728 0.846097 +vt 0.196011 0.854732 +vt 0.197587 0.863008 +vt 0.199209 0.870608 +vt 0.200234 0.877823 +vt 0.188795 0.875913 +vt 0.194160 0.876610 +vt 0.171418 0.733983 +vt 0.166622 0.732563 +vt 0.178203 0.737541 +vt 0.184760 0.844306 +vt 0.190548 0.845082 +vt 0.191026 0.853698 +vt 0.185338 0.853052 +vt 0.192356 0.734746 +vt 0.190393 0.739406 +vt 0.192439 0.862058 +vt 0.186503 0.861308 +vt 0.193543 0.869639 +vt 0.187882 0.869023 +vt 0.181646 0.874439 +vt 0.182502 0.879595 +vt 0.169732 0.739673 +vt 0.166195 0.737158 +vt 0.174944 0.743662 +vt 0.178294 0.843784 +vt 0.178830 0.852755 +vt 0.179871 0.860988 +vt 0.180745 0.868246 +vt 0.172498 0.867288 +vt 0.173031 0.872998 +vt 0.173734 0.877600 +vt 0.166033 0.745831 +vt 0.163458 0.742561 +vt 0.169104 0.749346 +vt 0.170816 0.843379 +vt 0.171265 0.852227 +vt 0.177093 0.753595 +vt 0.171820 0.860385 +vt 0.194900 0.728660 +vt 0.198881 0.720759 +vt 0.202979 0.893374 +vt 0.182486 0.884064 +vt 0.174197 0.881576 +vt 0.157432 0.715855 +vt 0.203624 0.710656 +vt 0.207243 0.898439 +vt 0.161097 0.755372 +vt 0.158761 0.751620 +vt 0.161829 0.842656 +vt 0.162272 0.851146 +vt 0.162853 0.825509 +vt 0.164889 0.816281 +vt 0.165348 0.759923 +vt 0.164278 0.879713 +vt 0.163938 0.875763 +vt 0.163058 0.859220 +vt 0.166661 0.807596 +vt 0.163286 0.865815 +vt 0.161948 0.834660 +vt 0.163509 0.871413 +vt 0.169666 0.788799 +vt 0.170908 0.777971 +vt 0.156640 0.748998 +vt 0.168583 0.767366 +vt 0.150432 0.760202 +vt 0.148693 0.756752 +vt 0.152105 0.841818 +vt 0.152541 0.850117 +vt 0.153259 0.816150 +vt 0.153143 0.807441 +vt 0.151978 0.764704 +vt 0.153123 0.857840 +vt 0.153857 0.772162 +vt 0.153483 0.864437 +vt 0.152162 0.833502 +vt 0.153778 0.869624 +vt 0.155989 0.791348 +vt 0.155185 0.782459 +vt 0.154337 0.877854 +vt 0.154101 0.873784 +vt 0.147103 0.754124 +vt 0.152258 0.824327 +vt 0.141133 0.768221 +vt 0.140186 0.763493 +vt 0.142986 0.848905 +vt 0.144035 0.856507 +vt 0.142656 0.775600 +vt 0.144262 0.862541 +vt 0.142947 0.832494 +vt 0.142566 0.840429 +vt 0.144464 0.867690 +vt 0.142522 0.792813 +vt 0.143699 0.784359 +vt 0.145205 0.875458 +vt 0.144909 0.871475 +vt 0.139101 0.760097 +vt 0.137966 0.757185 +vt 0.142345 0.824130 +vt 0.141774 0.815691 +vt 0.140556 0.807941 +vt 0.132522 0.777465 +vt 0.132215 0.770058 +vt 0.135526 0.854712 +vt 0.135608 0.860412 +vt 0.134369 0.831794 +vt 0.134136 0.839307 +vt 0.135913 0.865238 +vt 0.131654 0.793872 +vt 0.132027 0.785772 +vt 0.136931 0.873233 +vt 0.136211 0.869062 +vt 0.130826 0.761962 +vt 0.130087 0.759222 +vt 0.133911 0.823839 +vt 0.133034 0.815164 +vt 0.131545 0.765160 +vt 0.134635 0.847036 +vt 0.132481 0.808286 +vt 0.325918 0.696282 +vt 0.325225 0.696122 +vt 0.325271 0.694914 +vt 0.326485 0.695189 +vt 0.323710 0.698929 +vt 0.324255 0.699347 +vt 0.323606 0.700489 +vt 0.322669 0.699751 +vt 0.324526 0.696209 +vt 0.324068 0.695074 +vt 0.324935 0.699535 +vt 0.324795 0.700829 +vt 0.323906 0.696541 +vt 0.323016 0.695638 +vt 0.325646 0.699452 +vt 0.326036 0.700702 +vt 0.323485 0.697060 +vt 0.322294 0.696527 +vt 0.326932 0.697937 +vt 0.326847 0.697267 +vt 0.328120 0.696876 +vt 0.328273 0.698039 +vt 0.326278 0.699120 +vt 0.327138 0.700124 +vt 0.323295 0.697694 +vt 0.321973 0.697611 +vt 0.326491 0.696684 +vt 0.327490 0.695879 +vt 0.326732 0.698590 +vt 0.327930 0.699177 +vt 0.323372 0.698352 +vt 0.322091 0.698737 +vt 0.325350 0.692293 +vt 0.327872 0.692842 +vt 0.321888 0.703791 +vt 0.319988 0.702207 +vt 0.322866 0.692650 +vt 0.324337 0.704564 +vt 0.320695 0.693800 +vt 0.326942 0.704333 +vt 0.319288 0.695629 +vt 0.331298 0.696326 +vt 0.331637 0.698756 +vt 0.329283 0.703139 +vt 0.318654 0.697814 +vt 0.329981 0.694263 +vt 0.330933 0.701159 +vt 0.318869 0.700104 +vt 0.324374 0.713549 +vt 0.318982 0.711853 +vt 0.316682 0.691905 +vt 0.321175 0.689600 +vt 0.330147 0.713219 +vt 0.313372 0.695360 +vt 0.339548 0.697069 +vt 0.340372 0.702022 +vt 0.335277 0.710831 +vt 0.312114 0.699601 +vt 0.336587 0.692890 +vt 0.338903 0.706951 +vt 0.312306 0.704197 +vt 0.331984 0.690110 +vt 0.314860 0.708448 +vt 0.326506 0.688700 +vt 0.311358 0.713440 +vt 0.316987 0.718055 +vt 0.314645 0.725977 +vt 0.307605 0.718656 +vt 0.327265 0.686231 +vt 0.319973 0.687212 +vt 0.318234 0.684231 +vt 0.328487 0.683537 +vt 0.324313 0.720524 +vt 0.323942 0.729704 +vt 0.313015 0.689844 +vt 0.308354 0.687709 +vt 0.332171 0.720201 +vt 0.334188 0.730246 +vt 0.309150 0.694913 +vt 0.302500 0.694613 +vt 0.346073 0.705114 +vt 0.344959 0.698346 +vt 0.352210 0.699863 +vt 0.353483 0.708546 +vt 0.339153 0.717059 +vt 0.344300 0.725898 +vt 0.306900 0.701443 +vt 0.300836 0.703323 +vt 0.340928 0.692603 +vt 0.347755 0.692280 +vt 0.344044 0.711763 +vt 0.351480 0.717877 +vt 0.307408 0.707743 +vt 0.302508 0.711372 +vt 0.335554 0.688421 +vt 0.340000 0.685837 +vt 0.323890 0.738944 +vt 0.311010 0.734028 +vt 0.303851 0.684958 +vt 0.315572 0.680656 +vt 0.336630 0.738833 +vt 0.294437 0.693746 +vt 0.360803 0.700915 +vt 0.362763 0.712900 +vt 0.348518 0.734452 +vt 0.293125 0.705393 +vt 0.353608 0.690362 +vt 0.359136 0.724467 +vt 0.293880 0.719014 +vt 0.344331 0.683326 +vt 0.301541 0.727222 +vt 0.329246 0.679444 +vt 0.305619 0.742885 +vt 0.294513 0.735458 +vt 0.310281 0.674186 +vt 0.329924 0.674209 +vt 0.323490 0.750222 +vt 0.295493 0.681199 +vt 0.337184 0.750077 +vt 0.284906 0.692600 +vt 0.369280 0.700475 +vt 0.371002 0.715843 +vt 0.351153 0.744644 +vt 0.284548 0.708186 +vt 0.360394 0.686699 +vt 0.367562 0.731323 +vt 0.285925 0.725501 +vt 0.347732 0.678947 +vt 0.374496 0.730693 +vt 0.374833 0.715137 +vt 0.373055 0.699350 +vt 0.369639 0.685893 +vt 0.380530 0.730552 +vt 0.380530 0.712563 +vt 0.380530 0.698992 +vt 0.380530 0.685385 +vt 0.257073 0.710465 +vt 0.270221 0.717656 +vt 0.497320 0.039685 +vt 0.496928 0.041206 +vt 0.494667 0.041049 +vt 0.495302 0.039595 +vt 0.487850 0.037191 +vt 0.487661 0.038434 +vt 0.485723 0.037315 +vt 0.486118 0.036297 +vt 0.492372 0.039006 +vt 0.491837 0.040425 +vt 0.489601 0.039443 +vt 0.489799 0.037942 +vt 0.488772 0.048083 +vt 0.488008 0.050085 +vt 0.484125 0.049555 +vt 0.484938 0.047306 +vt 0.494501 0.049317 +vt 0.493918 0.050862 +vt 0.491317 0.050518 +vt 0.491943 0.048573 +vt 0.482351 0.045974 +vt 0.479604 0.047926 +vt 0.477326 0.044125 +vt 0.479960 0.044196 +vt 0.501124 0.030417 +vt 0.499717 0.034311 +vt 0.497193 0.033820 +vt 0.498741 0.030111 +vt 0.492201 0.027494 +vt 0.490433 0.030903 +vt 0.488382 0.030185 +vt 0.490463 0.026472 +vt 0.496461 0.029440 +vt 0.494913 0.033111 +vt 0.492544 0.031936 +vt 0.494308 0.028554 +vt 0.389626 0.160758 +vt 0.389700 0.162296 +vt 0.386151 0.162629 +vt 0.385946 0.160769 +vt 0.491320 0.041758 +vt 0.488846 0.040994 +vt 0.394351 0.160213 +vt 0.395027 0.161952 +vt 0.393874 0.162152 +vt 0.393338 0.160509 +vt 0.402017 0.157732 +vt 0.401813 0.159742 +vt 0.400150 0.160145 +vt 0.400124 0.158134 +vt 0.481571 0.040087 +vt 0.483343 0.041670 +vt 0.481359 0.043583 +vt 0.479805 0.041974 +vt 0.488742 0.025252 +vt 0.486608 0.029345 +vt 0.478540 0.042326 +vt 0.476200 0.041680 +vt 0.483965 0.034899 +vt 0.483477 0.035928 +vt 0.501651 0.038006 +vt 0.500382 0.037440 +vt 0.501223 0.034521 +vt 0.502795 0.034716 +vt 0.499070 0.050155 +vt 0.496970 0.049655 +vt 0.497221 0.047964 +vt 0.499163 0.048424 +vt 0.497506 0.045771 +vt 0.499159 0.046094 +vt 0.496585 0.042513 +vt 0.494308 0.042319 +vt 0.487050 0.040087 +vt 0.484971 0.038984 +vt 0.494176 0.023315 +vt 0.494864 0.021594 +vt 0.496549 0.023291 +vt 0.496146 0.024518 +vt 0.497925 0.025499 +vt 0.498214 0.024506 +vt 0.500332 0.024991 +vt 0.500150 0.026014 +vt 0.370331 0.162569 +vt 0.373791 0.162843 +vt 0.374777 0.163673 +vt 0.371885 0.163994 +vt 0.502904 0.026453 +vt 0.503059 0.024944 +vt 0.504692 0.024394 +vt 0.504317 0.026236 +vt 0.502815 0.023562 +vt 0.502559 0.022146 +vt 0.504028 0.019811 +vt 0.504416 0.022113 +vt 0.504160 0.016750 +vt 0.504882 0.017349 +vt 0.503603 0.019116 +vt 0.495237 0.016129 +vt 0.497679 0.015030 +vt 0.497090 0.017278 +vt 0.495257 0.018288 +vt 0.367035 0.162887 +vt 0.367928 0.162670 +vt 0.368669 0.163613 +vt 0.367764 0.163818 +vt 0.496110 0.020311 +vt 0.496906 0.019536 +vt 0.497518 0.021705 +vt 0.497139 0.022340 +vt 0.365683 0.158782 +vt 0.366173 0.158633 +vt 0.366618 0.160445 +vt 0.365792 0.160482 +vt 0.498634 0.023587 +vt 0.499049 0.022721 +vt 0.500788 0.022922 +vt 0.500498 0.023952 +vt 0.497874 0.020910 +vt 0.499280 0.022109 +vt 0.501119 0.022067 +vt 0.388192 0.152288 +vt 0.388659 0.155143 +vt 0.385582 0.156121 +vt 0.384733 0.153562 +vt 0.393056 0.151223 +vt 0.393081 0.154069 +vt 0.391752 0.154532 +vt 0.391506 0.151402 +vt 0.401426 0.148308 +vt 0.401599 0.151714 +vt 0.399825 0.152272 +vt 0.399369 0.149340 +vt 0.368137 0.158304 +vt 0.368801 0.160247 +vt 0.497582 0.018979 +vt 0.498436 0.014763 +vt 0.497844 0.016923 +vt 0.505416 0.020797 +vt 0.502453 0.021013 +vt 0.370519 0.157860 +vt 0.373711 0.156958 +vt 0.374115 0.159063 +vt 0.370796 0.159869 +vt 0.505672 0.023849 +vt 0.505394 0.025828 +vt 0.375980 0.162476 +vt 0.376801 0.163501 +vt 0.493031 0.018113 +vt 0.493815 0.019948 +vt 0.493546 0.024521 +vt 0.495784 0.025506 +vt 0.497622 0.026368 +vt 0.499843 0.026993 +vt 0.376944 0.156198 +vt 0.378550 0.155685 +vt 0.379023 0.157921 +vt 0.377404 0.158276 +vt 0.489442 0.046365 +vt 0.485995 0.045856 +vt 0.487614 0.043448 +vt 0.490356 0.044291 +vt 0.397994 0.160942 +vt 0.397498 0.159003 +vt 0.482836 0.037478 +vt 0.498102 0.042728 +vt 0.499568 0.042961 +vt 0.495171 0.047537 +vt 0.492648 0.046881 +vt 0.493415 0.045149 +vt 0.495697 0.045549 +vt 0.483962 0.045158 +vt 0.485642 0.042740 +vt 0.396611 0.153291 +vt 0.396124 0.150173 +vt 0.493820 0.035554 +vt 0.492975 0.037384 +vt 0.490306 0.036456 +vt 0.491003 0.034807 +vt 0.490259 0.022330 +vt 0.491381 0.020231 +vt 0.492569 0.021573 +vt 0.491681 0.023440 +vt 0.488800 0.034272 +vt 0.488234 0.035717 +vt 0.486496 0.035094 +vt 0.487065 0.033652 +vt 0.378727 0.161968 +vt 0.380104 0.161911 +vt 0.380352 0.163105 +vt 0.379020 0.163117 +vt 0.504101 0.029993 +vt 0.502974 0.029805 +vt 0.503406 0.029002 +vt 0.504423 0.029202 +vt 0.392145 0.160660 +vt 0.392461 0.162157 +vt 0.391268 0.162304 +vt 0.391059 0.160766 +vt 0.390531 0.151584 +vt 0.390799 0.154852 +vt 0.389736 0.154967 +vt 0.389375 0.152013 +vt 0.496304 0.036236 +vt 0.495721 0.037963 +vt 0.498673 0.036880 +vt 0.497894 0.038423 +vt 0.484869 0.032401 +vt 0.484291 0.033839 +vt 0.500557 0.040530 +vt 0.498889 0.040110 +vt 0.499503 0.038982 +vt 0.500969 0.039401 +vt 0.502582 0.027884 +vt 0.503847 0.028016 +vt 0.379507 0.155370 +vt 0.380005 0.157609 +vt 0.380984 0.161883 +vt 0.381205 0.163082 +vt 0.504954 0.027991 +vt 0.499917 0.041822 +vt 0.498407 0.041503 +vt 0.501736 0.029502 +vt 0.499208 0.028798 +vt 0.492686 0.026458 +vt 0.490855 0.025473 +vt 0.496965 0.028058 +vt 0.495024 0.027338 +vt 0.489176 0.024535 +vt 0.502561 0.030776 +vt 0.503789 0.030895 +vt 0.380950 0.157324 +vt 0.380476 0.155099 +vt 0.382162 0.163036 +vt 0.381953 0.161828 +vt 0.502221 0.028654 +vt 0.499548 0.027814 +vt 0.493061 0.025527 +vt 0.491205 0.024559 +vt 0.497346 0.027185 +vt 0.495435 0.026391 +vt 0.489541 0.023723 +vt 0.388977 0.158216 +vt 0.385789 0.158350 +vt 0.393694 0.157493 +vt 0.392629 0.157952 +vt 0.401971 0.154864 +vt 0.399808 0.155499 +vt 0.371999 0.161228 +vt 0.369436 0.161607 +vt 0.367217 0.161858 +vt 0.366526 0.162199 +vt 0.374856 0.160598 +vt 0.397084 0.156724 +vt 0.379420 0.159823 +vt 0.377717 0.159817 +vt 0.391525 0.158167 +vt 0.390380 0.158170 +vt 0.380577 0.159729 +vt 0.381565 0.159414 +vt 0.395743 0.147763 +vt 0.392871 0.148913 +vt 0.400545 0.146181 +vt 0.398906 0.146896 +vt 0.379237 0.153921 +vt 0.378381 0.154200 +vt 0.366177 0.157756 +vt 0.368184 0.156823 +vt 0.391287 0.149463 +vt 0.390292 0.149951 +vt 0.384611 0.151934 +vt 0.380116 0.153657 +vt 0.371054 0.156045 +vt 0.373820 0.155629 +vt 0.387856 0.150731 +vt 0.389228 0.150276 +vt 0.365717 0.157673 +vt 0.376918 0.154704 +vt 0.500162 0.014294 +vt 0.500171 0.013658 +vt 0.502001 0.013899 +vt 0.501827 0.014502 +vt 0.498254 0.020639 +vt 0.499586 0.021641 +vt 0.503644 0.014876 +vt 0.503096 0.015284 +vt 0.497934 0.018835 +vt 0.503636 0.016555 +vt 0.503203 0.018614 +vt 0.499074 0.014927 +vt 0.498461 0.016780 +vt 0.499022 0.014065 +vt 0.499415 0.014469 +vt 0.502335 0.020684 +vt 0.503481 0.015807 +vt 0.504132 0.015549 +vt 0.500987 0.021582 +vt 0.501550 0.015149 +vt 0.501409 0.015746 +vt 0.500820 0.017440 +vt 0.500356 0.018837 +vt 0.459349 0.034585 +vt 0.460109 0.036048 +vt 0.458742 0.036983 +vt 0.458113 0.035357 +vt 0.451632 0.038918 +vt 0.452150 0.040548 +vt 0.449661 0.041118 +vt 0.449270 0.039696 +vt 0.455721 0.036860 +vt 0.456425 0.038601 +vt 0.454071 0.039796 +vt 0.453298 0.037856 +vt 0.462269 0.050964 +vt 0.462979 0.053026 +vt 0.458815 0.055836 +vt 0.458518 0.052130 +vt 0.468693 0.045261 +vt 0.473829 0.048132 +vt 0.467860 0.051027 +vt 0.465951 0.047948 +vt 0.454283 0.052382 +vt 0.453067 0.058148 +vt 0.450204 0.055551 +vt 0.451134 0.052443 +vt 0.453773 0.023883 +vt 0.456026 0.026895 +vt 0.454444 0.027794 +vt 0.452808 0.024384 +vt 0.446453 0.027748 +vt 0.447648 0.031302 +vt 0.445816 0.031822 +vt 0.444883 0.028244 +vt 0.450546 0.026159 +vt 0.452182 0.029597 +vt 0.449998 0.030565 +vt 0.448316 0.027170 +vt 0.382324 0.133098 +vt 0.381872 0.134908 +vt 0.378531 0.133521 +vt 0.378898 0.131685 +vt 0.457294 0.040314 +vt 0.454745 0.041483 +vt 0.389658 0.135608 +vt 0.389117 0.137673 +vt 0.387975 0.137292 +vt 0.388472 0.135256 +vt 0.400803 0.137719 +vt 0.399031 0.139591 +vt 0.396825 0.138413 +vt 0.397795 0.136586 +vt 0.448427 0.047675 +vt 0.450911 0.047442 +vt 0.451145 0.049163 +vt 0.448573 0.049527 +vt 0.442675 0.028785 +vt 0.443305 0.032439 +vt 0.448393 0.052564 +vt 0.447637 0.054317 +vt 0.447272 0.040391 +vt 0.447672 0.041548 +vt 0.460110 0.028506 +vt 0.458921 0.029148 +vt 0.457339 0.026263 +vt 0.458620 0.025216 +vt 0.471561 0.040983 +vt 0.470466 0.042700 +vt 0.467850 0.041186 +vt 0.469519 0.039764 +vt 0.466075 0.039991 +vt 0.467579 0.038647 +vt 0.460905 0.037399 +vt 0.459685 0.038404 +vt 0.452437 0.042078 +vt 0.450160 0.042509 +vt 0.444668 0.023242 +vt 0.444282 0.021561 +vt 0.445929 0.021508 +vt 0.446566 0.022764 +vt 0.448519 0.021954 +vt 0.447955 0.020817 +vt 0.449785 0.019602 +vt 0.450441 0.020736 +vt 0.364079 0.127222 +vt 0.366474 0.128146 +vt 0.366694 0.130479 +vt 0.363973 0.128974 +vt 0.451507 0.019900 +vt 0.450656 0.018546 +vt 0.451215 0.017202 +vt 0.452430 0.018741 +vt 0.450017 0.017505 +vt 0.449366 0.016592 +vt 0.448763 0.014626 +vt 0.450177 0.015681 +vt 0.447248 0.012792 +vt 0.447885 0.012682 +vt 0.448380 0.014478 +vt 0.441074 0.018029 +vt 0.441422 0.015911 +vt 0.443019 0.018165 +vt 0.442837 0.019570 +vt 0.361456 0.126393 +vt 0.362060 0.126313 +vt 0.362059 0.128194 +vt 0.361408 0.127943 +vt 0.444176 0.020478 +vt 0.444048 0.019491 +vt 0.445584 0.020137 +vt 0.445780 0.020845 +vt 0.362279 0.121862 +vt 0.363147 0.122247 +vt 0.362463 0.123639 +vt 0.361685 0.123412 +vt 0.447763 0.020380 +vt 0.447464 0.019732 +vt 0.448890 0.018267 +vt 0.449351 0.019085 +vt 0.445647 0.019406 +vt 0.447156 0.019079 +vt 0.448414 0.017694 +vt 0.383909 0.126437 +vt 0.383274 0.128836 +vt 0.380048 0.127937 +vt 0.380591 0.125855 +vt 0.391727 0.127589 +vt 0.391176 0.130633 +vt 0.389946 0.130405 +vt 0.390565 0.127186 +vt 0.404102 0.128517 +vt 0.403854 0.132513 +vt 0.399199 0.131777 +vt 0.399700 0.128854 +vt 0.364910 0.122845 +vt 0.364354 0.124262 +vt 0.444364 0.019009 +vt 0.442093 0.015306 +vt 0.443065 0.017364 +vt 0.449764 0.013081 +vt 0.448834 0.016245 +vt 0.367607 0.123205 +vt 0.370780 0.123670 +vt 0.370083 0.125645 +vt 0.366819 0.124883 +vt 0.451710 0.015403 +vt 0.453259 0.017775 +vt 0.369523 0.129731 +vt 0.369406 0.131552 +vt 0.440681 0.020363 +vt 0.442809 0.021216 +vt 0.445122 0.024534 +vt 0.446886 0.023807 +vt 0.448943 0.022746 +vt 0.451021 0.021505 +vt 0.373259 0.124340 +vt 0.374579 0.124584 +vt 0.373994 0.126615 +vt 0.372679 0.126262 +vt 0.460898 0.047511 +vt 0.457603 0.048921 +vt 0.456724 0.046169 +vt 0.459520 0.044757 +vt 0.394463 0.138078 +vt 0.395065 0.136360 +vt 0.447935 0.042784 +vt 0.462272 0.036359 +vt 0.463527 0.035415 +vt 0.465983 0.042827 +vt 0.463683 0.045200 +vt 0.462412 0.042763 +vt 0.464377 0.041413 +vt 0.454254 0.049244 +vt 0.453792 0.046953 +vt 0.396636 0.131626 +vt 0.397152 0.128359 +vt 0.453548 0.032293 +vt 0.454518 0.034267 +vt 0.452354 0.035455 +vt 0.451419 0.033318 +vt 0.441576 0.025539 +vt 0.441109 0.023511 +vt 0.443179 0.023517 +vt 0.443663 0.025092 +vt 0.449118 0.034369 +vt 0.450327 0.036579 +vt 0.448550 0.037682 +vt 0.447344 0.035126 +vt 0.371730 0.130388 +vt 0.372908 0.130705 +vt 0.372561 0.132423 +vt 0.371342 0.132277 +vt 0.455575 0.021365 +vt 0.454509 0.022143 +vt 0.453826 0.021031 +vt 0.454961 0.020478 +vt 0.387219 0.135022 +vt 0.386756 0.136941 +vt 0.384642 0.136357 +vt 0.385450 0.134375 +vt 0.389277 0.127215 +vt 0.388571 0.130152 +vt 0.386935 0.129892 +vt 0.387374 0.127009 +vt 0.456009 0.030983 +vt 0.456830 0.033142 +vt 0.457538 0.030076 +vt 0.458358 0.032332 +vt 0.444610 0.035609 +vt 0.446472 0.038430 +vt 0.462204 0.033354 +vt 0.460777 0.033937 +vt 0.459861 0.031959 +vt 0.461103 0.031455 +vt 0.452100 0.020810 +vt 0.453273 0.020142 +vt 0.375652 0.124769 +vt 0.375141 0.126906 +vt 0.374142 0.131103 +vt 0.373632 0.132615 +vt 0.454194 0.019547 +vt 0.462865 0.034438 +vt 0.461525 0.035182 +vt 0.453243 0.022689 +vt 0.452243 0.023198 +vt 0.445931 0.026556 +vt 0.444460 0.027116 +vt 0.449936 0.024977 +vt 0.447711 0.025939 +vt 0.442345 0.027703 +vt 0.455131 0.023087 +vt 0.456090 0.022296 +vt 0.376305 0.127141 +vt 0.376811 0.124926 +vt 0.374657 0.132927 +vt 0.375179 0.131447 +vt 0.452566 0.021808 +vt 0.451614 0.022121 +vt 0.445480 0.025465 +vt 0.444029 0.026042 +vt 0.449370 0.023706 +vt 0.447121 0.024744 +vt 0.441923 0.026678 +vt 0.382709 0.131187 +vt 0.379371 0.129880 +vt 0.390154 0.133805 +vt 0.388957 0.133475 +vt 0.402953 0.135726 +vt 0.398271 0.134941 +vt 0.366494 0.126572 +vt 0.364092 0.125887 +vt 0.362071 0.125380 +vt 0.361408 0.125070 +vt 0.369695 0.127788 +vt 0.395659 0.134575 +vt 0.373414 0.128806 +vt 0.372082 0.128408 +vt 0.387602 0.133152 +vt 0.386255 0.132474 +vt 0.374512 0.129133 +vt 0.375700 0.129579 +vt 0.397261 0.125747 +vt 0.392305 0.124791 +vt 0.403326 0.126230 +vt 0.399474 0.126091 +vt 0.376207 0.122897 +vt 0.375048 0.122729 +vt 0.363706 0.121078 +vt 0.365229 0.121470 +vt 0.390974 0.124569 +vt 0.389737 0.124584 +vt 0.380904 0.123913 +vt 0.377349 0.123004 +vt 0.367853 0.122022 +vt 0.371471 0.122060 +vt 0.384333 0.124310 +vt 0.387654 0.124363 +vt 0.362691 0.120991 +vt 0.373803 0.122520 +vt 0.442568 0.013295 +vt 0.442166 0.013256 +vt 0.443354 0.012055 +vt 0.443663 0.012546 +vt 0.445686 0.019132 +vt 0.447040 0.018681 +vt 0.444988 0.011539 +vt 0.444728 0.012112 +vt 0.444437 0.018599 +vt 0.446567 0.012730 +vt 0.447677 0.014459 +vt 0.442408 0.015008 +vt 0.443390 0.016801 +vt 0.441964 0.014140 +vt 0.442339 0.013973 +vt 0.448473 0.016180 +vt 0.445835 0.012116 +vt 0.446284 0.011663 +vt 0.448175 0.017554 +vt 0.443946 0.013047 +vt 0.444475 0.013852 +vt 0.445402 0.015591 +vt 0.446217 0.017124 +vt 0.436129 0.057053 +vt 0.436869 0.057712 +vt 0.435896 0.059389 +vt 0.434797 0.058923 +vt 0.430721 0.063540 +vt 0.431695 0.064378 +vt 0.430529 0.065435 +vt 0.429532 0.064669 +vt 0.433205 0.060860 +vt 0.434428 0.061617 +vt 0.432891 0.063263 +vt 0.431762 0.062348 +vt 0.443240 0.067289 +vt 0.445296 0.068733 +vt 0.443292 0.072319 +vt 0.441564 0.070061 +vt 0.445516 0.060513 +vt 0.449937 0.060235 +vt 0.447589 0.064429 +vt 0.444655 0.063709 +vt 0.439053 0.072611 +vt 0.442374 0.077170 +vt 0.434725 0.077953 +vt 0.435543 0.074388 +vt 0.425902 0.050333 +vt 0.429721 0.053057 +vt 0.428806 0.054297 +vt 0.425186 0.051566 +vt 0.421604 0.056588 +vt 0.424905 0.059068 +vt 0.423915 0.060089 +vt 0.420715 0.057384 +vt 0.423668 0.054100 +vt 0.427341 0.056473 +vt 0.425847 0.058106 +vt 0.422547 0.055743 +vt 0.395851 0.113275 +vt 0.394836 0.114720 +vt 0.390526 0.111398 +vt 0.391366 0.109997 +vt 0.435654 0.062355 +vt 0.434060 0.064110 +vt 0.399549 0.116145 +vt 0.398212 0.117881 +vt 0.397334 0.117022 +vt 0.398544 0.115460 +vt 0.405362 0.120272 +vt 0.404140 0.121223 +vt 0.402590 0.120646 +vt 0.404160 0.119223 +vt 0.432221 0.070956 +vt 0.434121 0.069590 +vt 0.435039 0.071530 +vt 0.432862 0.072432 +vt 0.419111 0.058602 +vt 0.422262 0.061544 +vt 0.433240 0.074939 +vt 0.432157 0.077210 +vt 0.427989 0.066364 +vt 0.428909 0.066914 +vt 0.435540 0.052845 +vt 0.434627 0.054269 +vt 0.430366 0.051594 +vt 0.431235 0.049983 +vt 0.445427 0.055328 +vt 0.445692 0.057429 +vt 0.444043 0.058046 +vt 0.444050 0.056077 +vt 0.442187 0.058130 +vt 0.442749 0.056219 +vt 0.437994 0.058418 +vt 0.437084 0.060030 +vt 0.432950 0.065499 +vt 0.431774 0.066473 +vt 0.417046 0.052813 +vt 0.415696 0.051378 +vt 0.417162 0.050950 +vt 0.418159 0.052028 +vt 0.419618 0.050722 +vt 0.418706 0.049904 +vt 0.419666 0.048114 +vt 0.420852 0.048952 +vt 0.376935 0.098733 +vt 0.379318 0.100939 +vt 0.378810 0.102602 +vt 0.376387 0.100475 +vt 0.421589 0.047292 +vt 0.419951 0.046305 +vt 0.419668 0.044478 +vt 0.422026 0.045604 +vt 0.418197 0.045447 +vt 0.417116 0.044902 +vt 0.415500 0.043108 +vt 0.417441 0.043183 +vt 0.413234 0.042114 +vt 0.414094 0.041523 +vt 0.414862 0.043172 +vt 0.410720 0.049930 +vt 0.409947 0.047540 +vt 0.411575 0.048653 +vt 0.412554 0.050161 +vt 0.374294 0.096160 +vt 0.375231 0.097036 +vt 0.374476 0.098374 +vt 0.373715 0.097531 +vt 0.414166 0.050159 +vt 0.413533 0.049386 +vt 0.415706 0.049737 +vt 0.416175 0.050244 +vt 0.376154 0.092855 +vt 0.377085 0.093409 +vt 0.376384 0.094785 +vt 0.375390 0.094059 +vt 0.417892 0.049250 +vt 0.417283 0.048741 +vt 0.417865 0.046850 +vt 0.418584 0.047340 +vt 0.415344 0.049214 +vt 0.416856 0.048318 +vt 0.417317 0.046539 +vt 0.401208 0.106539 +vt 0.399615 0.109173 +vt 0.394334 0.105946 +vt 0.395751 0.103554 +vt 0.404817 0.108560 +vt 0.403293 0.111259 +vt 0.402231 0.110856 +vt 0.404050 0.107955 +vt 0.412176 0.112352 +vt 0.409867 0.116027 +vt 0.408503 0.115090 +vt 0.410088 0.111775 +vt 0.379286 0.094917 +vt 0.378404 0.096227 +vt 0.413359 0.048871 +vt 0.410372 0.046676 +vt 0.411498 0.047783 +vt 0.416715 0.041400 +vt 0.416485 0.044735 +vt 0.381799 0.096171 +vt 0.385237 0.097925 +vt 0.384198 0.099658 +vt 0.380895 0.097797 +vt 0.419591 0.042459 +vt 0.422421 0.044020 +vt 0.382069 0.103324 +vt 0.381446 0.104759 +vt 0.412257 0.051840 +vt 0.414104 0.051533 +vt 0.418200 0.054044 +vt 0.419184 0.052806 +vt 0.420492 0.051415 +vt 0.421891 0.049539 +vt 0.388514 0.099316 +vt 0.389651 0.099986 +vt 0.388629 0.102075 +vt 0.387300 0.101297 +vt 0.441660 0.065937 +vt 0.439734 0.068572 +vt 0.437687 0.066844 +vt 0.439677 0.064857 +vt 0.401364 0.120018 +vt 0.402988 0.118295 +vt 0.429916 0.067944 +vt 0.438468 0.057015 +vt 0.439229 0.055331 +vt 0.443833 0.060356 +vt 0.443217 0.062824 +vt 0.441067 0.062017 +vt 0.441849 0.060012 +vt 0.437314 0.070593 +vt 0.435502 0.068603 +vt 0.407164 0.114068 +vt 0.408481 0.110872 +vt 0.430915 0.059265 +vt 0.432067 0.060070 +vt 0.430699 0.061522 +vt 0.429476 0.060733 +vt 0.416171 0.056424 +vt 0.414593 0.054563 +vt 0.415903 0.053562 +vt 0.417365 0.054924 +vt 0.428379 0.061920 +vt 0.429590 0.062664 +vt 0.428486 0.063881 +vt 0.427365 0.063205 +vt 0.384257 0.104767 +vt 0.385451 0.105570 +vt 0.384418 0.106842 +vt 0.383370 0.106029 +vt 0.426195 0.046631 +vt 0.425280 0.048092 +vt 0.424343 0.047293 +vt 0.425285 0.045875 +vt 0.397850 0.115016 +vt 0.396675 0.116476 +vt 0.395694 0.115632 +vt 0.396821 0.114186 +vt 0.403385 0.107535 +vt 0.401469 0.110520 +vt 0.400412 0.109664 +vt 0.402282 0.106904 +vt 0.432530 0.057316 +vt 0.433645 0.058265 +vt 0.433863 0.055586 +vt 0.435203 0.056398 +vt 0.426245 0.065031 +vt 0.426965 0.065682 +vt 0.437513 0.054310 +vt 0.436628 0.055801 +vt 0.435684 0.055137 +vt 0.436462 0.053627 +vt 0.422730 0.048111 +vt 0.423422 0.046580 +vt 0.390505 0.100677 +vt 0.389413 0.102564 +vt 0.386412 0.106395 +vt 0.385366 0.107651 +vt 0.424300 0.045111 +vt 0.438229 0.054714 +vt 0.437388 0.056333 +vt 0.424693 0.049433 +vt 0.423946 0.050745 +vt 0.420311 0.055605 +vt 0.419486 0.056499 +vt 0.422497 0.052998 +vt 0.421061 0.054580 +vt 0.417952 0.057795 +vt 0.426528 0.049061 +vt 0.427411 0.047589 +vt 0.390629 0.103340 +vt 0.391679 0.101301 +vt 0.386586 0.108749 +vt 0.387569 0.107383 +vt 0.423664 0.048695 +vt 0.422789 0.050059 +vt 0.419161 0.054771 +vt 0.418381 0.055761 +vt 0.421368 0.052107 +vt 0.420126 0.053540 +vt 0.417043 0.057235 +vt 0.397541 0.111610 +vt 0.392844 0.108001 +vt 0.401199 0.114111 +vt 0.400127 0.113574 +vt 0.407052 0.118747 +vt 0.406117 0.117705 +vt 0.380096 0.099480 +vt 0.377563 0.097597 +vt 0.375629 0.096158 +vt 0.374689 0.095374 +vt 0.383099 0.101478 +vt 0.404932 0.116559 +vt 0.387016 0.104115 +vt 0.385805 0.103311 +vt 0.399399 0.113240 +vt 0.398419 0.112341 +vt 0.387870 0.104652 +vt 0.389253 0.105301 +vt 0.409219 0.108417 +vt 0.405802 0.106348 +vt 0.412901 0.110176 +vt 0.410837 0.109404 +vt 0.391096 0.099152 +vt 0.390038 0.098858 +vt 0.377849 0.092524 +vt 0.380002 0.094079 +vt 0.404714 0.105592 +vt 0.403958 0.105468 +vt 0.396533 0.101849 +vt 0.392600 0.099588 +vt 0.382524 0.095053 +vt 0.385928 0.096844 +vt 0.402081 0.104644 +vt 0.403001 0.105147 +vt 0.376893 0.092091 +vt 0.388957 0.098207 +vt 0.410271 0.044458 +vt 0.409611 0.044342 +vt 0.410241 0.043163 +vt 0.410807 0.043593 +vt 0.415167 0.048854 +vt 0.416385 0.047875 +vt 0.411171 0.042173 +vt 0.411541 0.042756 +vt 0.413447 0.048467 +vt 0.413385 0.042790 +vt 0.414618 0.043524 +vt 0.410797 0.046172 +vt 0.411767 0.047343 +vt 0.409591 0.045332 +vt 0.410351 0.045125 +vt 0.416157 0.044975 +vt 0.412274 0.042662 +vt 0.411914 0.041918 +vt 0.416945 0.046434 +vt 0.411439 0.044057 +vt 0.412118 0.044606 +vt 0.413021 0.045300 +vt 0.414492 0.046452 +vt 0.424951 0.083178 +vt 0.426289 0.083397 +vt 0.426182 0.085648 +vt 0.424793 0.085237 +vt 0.422979 0.089609 +vt 0.424402 0.090078 +vt 0.422712 0.092135 +vt 0.421492 0.091500 +vt 0.424533 0.086916 +vt 0.425903 0.087369 +vt 0.425179 0.088883 +vt 0.423920 0.088443 +vt 0.435344 0.089381 +vt 0.438031 0.090127 +vt 0.437049 0.092445 +vt 0.434072 0.091493 +vt 0.435833 0.083621 +vt 0.439223 0.082914 +vt 0.438939 0.087533 +vt 0.436221 0.087192 +vt 0.432314 0.093612 +vt 0.435319 0.094430 +vt 0.432015 0.097818 +vt 0.429986 0.096138 +vt 0.418097 0.081582 +vt 0.419989 0.081928 +vt 0.419617 0.083752 +vt 0.417860 0.083094 +vt 0.416332 0.087265 +vt 0.418341 0.088116 +vt 0.417293 0.089640 +vt 0.415476 0.088675 +vt 0.417634 0.084665 +vt 0.419438 0.085299 +vt 0.418926 0.086829 +vt 0.417038 0.086133 +vt 0.412739 0.098933 +vt 0.411389 0.100311 +vt 0.410152 0.099172 +vt 0.411398 0.097576 +vt 0.427136 0.087565 +vt 0.426271 0.089309 +vt 0.416371 0.102519 +vt 0.414368 0.104415 +vt 0.413782 0.103370 +vt 0.415447 0.101598 +vt 0.418571 0.107957 +vt 0.416255 0.108345 +vt 0.416388 0.107812 +vt 0.418825 0.106560 +vt 0.425287 0.096484 +vt 0.426764 0.094423 +vt 0.428165 0.095261 +vt 0.426462 0.097459 +vt 0.414619 0.089736 +vt 0.416321 0.090921 +vt 0.427798 0.098337 +vt 0.429445 0.100194 +vt 0.420191 0.093211 +vt 0.421369 0.093991 +vt 0.422157 0.078968 +vt 0.422104 0.080574 +vt 0.420338 0.080249 +vt 0.420477 0.078844 +vt 0.431672 0.079150 +vt 0.433096 0.081041 +vt 0.431892 0.080745 +vt 0.431158 0.079064 +vt 0.430445 0.080841 +vt 0.429912 0.079089 +vt 0.427633 0.083648 +vt 0.427508 0.085775 +vt 0.425463 0.090514 +vt 0.423965 0.092740 +vt 0.411922 0.085852 +vt 0.410376 0.085442 +vt 0.411308 0.084405 +vt 0.412550 0.084810 +vt 0.413195 0.083443 +vt 0.411991 0.083130 +vt 0.412455 0.081544 +vt 0.413489 0.081942 +vt 0.402981 0.089253 +vt 0.404469 0.090633 +vt 0.403699 0.092252 +vt 0.402496 0.090593 +vt 0.413771 0.080580 +vt 0.412430 0.080193 +vt 0.411867 0.079021 +vt 0.413610 0.079147 +vt 0.411110 0.080140 +vt 0.410202 0.080222 +vt 0.409085 0.079489 +vt 0.410241 0.079018 +vt 0.407716 0.079752 +vt 0.407868 0.079227 +vt 0.408720 0.079930 +vt 0.407299 0.085315 +vt 0.406566 0.084410 +vt 0.407570 0.084445 +vt 0.408260 0.085118 +vt 0.406720 0.080024 +vt 0.406648 0.079444 +vt 0.409399 0.084763 +vt 0.408774 0.084287 +vt 0.409713 0.083758 +vt 0.410317 0.084025 +vt 0.405778 0.082803 +vt 0.405228 0.083082 +vt 0.405112 0.081549 +vt 0.405717 0.081681 +vt 0.411028 0.082839 +vt 0.410423 0.082660 +vt 0.410668 0.081285 +vt 0.411376 0.081377 +vt 0.409517 0.083698 +vt 0.410090 0.082554 +vt 0.410265 0.081270 +vt 0.416247 0.094925 +vt 0.415254 0.096206 +vt 0.413796 0.094869 +vt 0.414652 0.093484 +vt 0.420133 0.098418 +vt 0.419028 0.099875 +vt 0.418043 0.098913 +vt 0.419102 0.097521 +vt 0.424199 0.102670 +vt 0.422504 0.104769 +vt 0.421884 0.103647 +vt 0.423403 0.101842 +vt 0.404533 0.084699 +vt 0.405412 0.086162 +vt 0.404438 0.086944 +vt 0.403187 0.085525 +vt 0.408527 0.083968 +vt 0.401852 0.088019 +vt 0.401489 0.089300 +vt 0.406677 0.083843 +vt 0.407504 0.083991 +vt 0.409115 0.078320 +vt 0.409748 0.080372 +vt 0.406687 0.087579 +vt 0.408928 0.089286 +vt 0.407991 0.090407 +vt 0.405908 0.088531 +vt 0.411075 0.077940 +vt 0.413359 0.077887 +vt 0.406236 0.092489 +vt 0.405201 0.093993 +vt 0.408583 0.086166 +vt 0.409482 0.085820 +vt 0.413717 0.086209 +vt 0.414104 0.085246 +vt 0.414739 0.083853 +vt 0.415007 0.082393 +vt 0.410720 0.090560 +vt 0.411395 0.091018 +vt 0.410455 0.092373 +vt 0.409683 0.091815 +vt 0.432671 0.088772 +vt 0.431514 0.090827 +vt 0.429371 0.090434 +vt 0.430371 0.088298 +vt 0.416126 0.106515 +vt 0.418371 0.104821 +vt 0.422540 0.094643 +vt 0.427523 0.081336 +vt 0.427192 0.079567 +vt 0.432964 0.083841 +vt 0.433250 0.086563 +vt 0.430777 0.086305 +vt 0.430872 0.083921 +vt 0.429994 0.092824 +vt 0.428306 0.092341 +vt 0.421233 0.102244 +vt 0.422531 0.100712 +vt 0.421472 0.085822 +vt 0.423033 0.086375 +vt 0.422440 0.087895 +vt 0.420646 0.087518 +vt 0.412322 0.088406 +vt 0.410637 0.087537 +vt 0.411332 0.086755 +vt 0.412872 0.087439 +vt 0.419976 0.088812 +vt 0.421645 0.089349 +vt 0.420344 0.090969 +vt 0.418975 0.090492 +vt 0.407654 0.094110 +vt 0.408297 0.094960 +vt 0.407293 0.096273 +vt 0.406576 0.095444 +vt 0.417388 0.078561 +vt 0.417296 0.079772 +vt 0.416349 0.079642 +vt 0.416418 0.078383 +vt 0.414529 0.100863 +vt 0.413051 0.102385 +vt 0.412333 0.101452 +vt 0.413809 0.100005 +vt 0.418023 0.096661 +vt 0.417019 0.097933 +vt 0.416100 0.097089 +vt 0.417140 0.095837 +vt 0.421638 0.084299 +vt 0.423309 0.084754 +vt 0.421889 0.082377 +vt 0.423427 0.082750 +vt 0.417959 0.092083 +vt 0.419188 0.092660 +vt 0.424780 0.079289 +vt 0.424905 0.080989 +vt 0.423616 0.080767 +vt 0.423620 0.079163 +vt 0.415117 0.081027 +vt 0.415316 0.079431 +vt 0.412220 0.091559 +vt 0.411189 0.092860 +vt 0.409120 0.095580 +vt 0.407978 0.096963 +vt 0.415347 0.078116 +vt 0.425995 0.079385 +vt 0.426229 0.081188 +vt 0.417164 0.081391 +vt 0.417017 0.082894 +vt 0.415385 0.086899 +vt 0.414644 0.088277 +vt 0.416869 0.084428 +vt 0.416184 0.085829 +vt 0.413941 0.089363 +vt 0.418293 0.079894 +vt 0.418482 0.078588 +vt 0.411938 0.093472 +vt 0.412873 0.092148 +vt 0.408780 0.097694 +vt 0.409902 0.096234 +vt 0.416206 0.081243 +vt 0.416071 0.082673 +vt 0.414645 0.086460 +vt 0.413832 0.087860 +vt 0.415897 0.084201 +vt 0.415299 0.085592 +vt 0.413047 0.088870 +vt 0.414176 0.097381 +vt 0.412682 0.096261 +vt 0.417797 0.101142 +vt 0.416914 0.100111 +vt 0.420642 0.106719 +vt 0.420364 0.105182 +vt 0.405206 0.089494 +vt 0.403721 0.088046 +vt 0.405651 0.080174 +vt 0.406169 0.080579 +vt 0.402331 0.086782 +vt 0.407066 0.091425 +vt 0.419813 0.103632 +vt 0.409358 0.093705 +vt 0.408602 0.093085 +vt 0.415920 0.099220 +vt 0.415086 0.098397 +vt 0.410132 0.094154 +vt 0.410956 0.094763 +vt 0.423727 0.098847 +vt 0.421365 0.096578 +vt 0.426035 0.100526 +vt 0.424835 0.099620 +vt 0.413082 0.090365 +vt 0.412365 0.089845 +vt 0.405680 0.084495 +vt 0.406449 0.085520 +vt 0.420256 0.095719 +vt 0.419182 0.094895 +vt 0.415403 0.092172 +vt 0.413816 0.090899 +vt 0.407731 0.086687 +vt 0.409934 0.088239 +vt 0.417057 0.093412 +vt 0.418202 0.094201 +vt 0.406110 0.083497 +vt 0.405805 0.084019 +vt 0.411667 0.089373 +vt 0.406151 0.082660 +vt 0.406235 0.081743 +vt 0.409220 0.083537 +vt 0.409805 0.082523 +vt 0.406528 0.080838 +vt 0.408462 0.083791 +vt 0.407470 0.080229 +vt 0.408493 0.080169 +vt 0.406903 0.083522 +vt 0.407480 0.083706 +vt 0.406456 0.083187 +vt 0.409388 0.080576 +vt 0.406939 0.080465 +vt 0.409964 0.081243 +vt 0.406893 0.081921 +vt 0.407303 0.081971 +vt 0.408019 0.082034 +vt 0.409017 0.082204 +vt 0.535339 0.068495 +vt 0.534422 0.069882 +vt 0.532149 0.068678 +vt 0.532931 0.067432 +vt 0.527948 0.063802 +vt 0.527043 0.065177 +vt 0.524085 0.062109 +vt 0.525133 0.061108 +vt 0.530590 0.066017 +vt 0.529814 0.067279 +vt 0.430443 0.179766 +vt 0.433173 0.181960 +vt 0.431957 0.183695 +vt 0.429049 0.181838 +vt 0.523211 0.059790 +vt 0.521961 0.060878 +vt 0.535545 0.072778 +vt 0.533418 0.071490 +vt 0.536640 0.071075 +vt 0.528608 0.057967 +vt 0.529892 0.057167 +vt 0.531300 0.060033 +vt 0.530516 0.060725 +vt 0.532593 0.063038 +vt 0.533150 0.062357 +vt 0.535713 0.063421 +vt 0.535082 0.064280 +vt 0.421335 0.192867 +vt 0.422706 0.190737 +vt 0.425847 0.191822 +vt 0.424487 0.193743 +vt 0.538777 0.063171 +vt 0.538060 0.064501 +vt 0.536311 0.062613 +vt 0.536763 0.061868 +vt 0.539904 0.060536 +vt 0.539444 0.061772 +vt 0.541142 0.057129 +vt 0.541924 0.058890 +vt 0.539721 0.059667 +vt 0.531048 0.054336 +vt 0.532928 0.053826 +vt 0.532231 0.056227 +vt 0.531076 0.056589 +vt 0.419216 0.196263 +vt 0.420141 0.194485 +vt 0.422801 0.195395 +vt 0.421190 0.196829 +vt 0.532639 0.058963 +vt 0.532009 0.059460 +vt 0.414704 0.193355 +vt 0.415601 0.191585 +vt 0.417517 0.193154 +vt 0.416651 0.194883 +vt 0.533651 0.061784 +vt 0.534070 0.061251 +vt 0.533212 0.058351 +vt 0.534489 0.060746 +vt 0.537006 0.061377 +vt 0.423745 0.175765 +vt 0.426956 0.177316 +vt 0.425705 0.179351 +vt 0.422187 0.177626 +vt 0.416282 0.189485 +vt 0.418569 0.191494 +vt 0.533314 0.056291 +vt 0.534884 0.053880 +vt 0.541780 0.060968 +vt 0.417337 0.187211 +vt 0.418639 0.184802 +vt 0.421290 0.186557 +vt 0.420023 0.189016 +vt 0.541427 0.063041 +vt 0.540610 0.064810 +vt 0.424244 0.188355 +vt 0.427009 0.189991 +vt 0.529318 0.055110 +vt 0.527601 0.058730 +vt 0.529847 0.061346 +vt 0.532070 0.063677 +vt 0.534507 0.065020 +vt 0.419894 0.182569 +vt 0.420652 0.181341 +vt 0.423384 0.183018 +vt 0.422883 0.183829 +vt 0.525833 0.057356 +vt 0.527403 0.056196 +vt 0.425565 0.186149 +vt 0.426214 0.185203 +vt 0.429080 0.187301 +vt 0.428263 0.188405 +vt 0.538532 0.068382 +vt 0.536127 0.067374 +vt 0.536721 0.066574 +vt 0.539106 0.067545 +vt 0.525767 0.066761 +vt 0.522537 0.063873 +vt 0.537313 0.065657 +vt 0.421195 0.180481 +vt 0.424133 0.182096 +vt 0.531183 0.070403 +vt 0.528719 0.068738 +vt 0.520429 0.062502 +vt 0.426745 0.184472 +vt 0.429776 0.186448 +vt 0.539738 0.066445 +vt 0.533567 0.066484 +vt 0.528682 0.062775 +vt 0.525953 0.060112 +vt 0.531186 0.065132 +vt 0.524044 0.058941 +vt 0.537733 0.069572 +vt 0.424692 0.181229 +vt 0.421753 0.179469 +vt 0.430713 0.185222 +vt 0.427539 0.183391 +vt 0.534012 0.065740 +vt 0.529197 0.062067 +vt 0.526712 0.059457 +vt 0.531612 0.064328 +vt 0.524796 0.058248 +vt 0.419080 0.179620 +vt 0.418501 0.180570 +vt 0.413917 0.189823 +vt 0.414642 0.187759 +vt 0.420722 0.177040 +vt 0.419789 0.178510 +vt 0.415578 0.185862 +vt 0.416804 0.183782 +vt 0.421610 0.174857 +vt 0.413227 0.191865 +vt 0.417799 0.181885 +vt 0.536333 0.053924 +vt 0.536498 0.052824 +vt 0.538818 0.053277 +vt 0.538390 0.054539 +vt 0.533415 0.058277 +vt 0.534749 0.060358 +vt 0.540828 0.055261 +vt 0.539958 0.055534 +vt 0.533874 0.056478 +vt 0.540461 0.056802 +vt 0.539452 0.059147 +vt 0.535318 0.054572 +vt 0.537071 0.061144 +vt 0.537843 0.055553 +vt 0.536806 0.057478 +vt 0.496628 0.051561 +vt 0.474400 0.044176 +vt 0.448232 0.057730 +vt 0.434651 0.079943 +vt 0.395340 0.146037 +vt 0.392562 0.147085 +vt 0.399103 0.144698 +vt 0.397807 0.145063 +vt 0.378859 0.152319 +vt 0.378021 0.152690 +vt 0.366068 0.156285 +vt 0.368586 0.155349 +vt 0.391049 0.147848 +vt 0.390002 0.148332 +vt 0.384092 0.150358 +vt 0.379692 0.152067 +vt 0.371424 0.154386 +vt 0.374109 0.153706 +vt 0.387546 0.149404 +vt 0.389011 0.148840 +vt 0.365441 0.156839 +vt 0.376468 0.153086 +vt 0.397586 0.123839 +vt 0.392686 0.122701 +vt 0.402661 0.124394 +vt 0.399483 0.124160 +vt 0.376571 0.121453 +vt 0.375461 0.121329 +vt 0.364254 0.119887 +vt 0.366554 0.119595 +vt 0.391450 0.122438 +vt 0.390236 0.122332 +vt 0.381351 0.122409 +vt 0.377702 0.121563 +vt 0.368966 0.120124 +vt 0.372165 0.120665 +vt 0.384768 0.122665 +vt 0.388123 0.122274 +vt 0.363262 0.119841 +vt 0.374267 0.121090 +vt 0.410167 0.106396 +vt 0.406786 0.104441 +vt 0.413767 0.108652 +vt 0.411573 0.107239 +vt 0.391668 0.097926 +vt 0.390577 0.097629 +vt 0.379077 0.091754 +vt 0.381681 0.092598 +vt 0.405503 0.103703 +vt 0.404430 0.103422 +vt 0.397129 0.100505 +vt 0.393103 0.098375 +vt 0.384167 0.093557 +vt 0.387415 0.095480 +vt 0.402256 0.102693 +vt 0.403200 0.103084 +vt 0.378253 0.091161 +vt 0.389478 0.097008 +vt 0.448222 0.071566 +vt 0.446407 0.075688 +vt 0.408021 0.127376 +vt 0.412698 0.129655 +vt 0.411300 0.134061 +vt 0.407070 0.133243 +vt 0.441475 0.091274 +vt 0.443422 0.087859 +vt 0.428588 0.105120 +vt 0.427478 0.102135 +vt 0.431652 0.102451 +vt 0.493160 0.052899 +vt 0.491220 0.052788 +vt 0.407351 0.155000 +vt 0.403912 0.156999 +vt 0.403749 0.154104 +vt 0.405961 0.152788 +vt 0.440090 0.094245 +vt 0.438424 0.095956 +vt 0.425142 0.104053 +vt 0.426330 0.105511 +vt 0.425584 0.107591 +vt 0.423668 0.106244 +vt 0.417557 0.114279 +vt 0.419254 0.114681 +vt 0.416746 0.119397 +vt 0.413495 0.118267 +vt 0.496381 0.053320 +vt 0.409999 0.139143 +vt 0.406903 0.139439 +vt 0.464308 0.057085 +vt 0.469282 0.055084 +vt 0.404863 0.150418 +vt 0.406584 0.150316 +vt 0.422623 0.110779 +vt 0.420494 0.109974 +vt 0.405395 0.159014 +vt 0.403575 0.159215 +vt 0.414800 0.123819 +vt 0.409450 0.122337 +vt 0.460684 0.060120 +vt 0.487402 0.052750 +vt 0.499150 0.052019 +vt 0.499190 0.053880 +vt 0.434291 0.099540 +vt 0.405795 0.145263 +vt 0.408264 0.145444 +vt 0.451651 0.067164 +vt 0.482996 0.052542 +vt 0.418878 0.124890 +vt 0.420765 0.120624 +vt 0.416640 0.130719 +vt 0.420488 0.131996 +vt 0.418506 0.136907 +vt 0.414666 0.134961 +vt 0.426356 0.111206 +vt 0.428975 0.106902 +vt 0.437973 0.101097 +vt 0.442071 0.103263 +vt 0.436441 0.107006 +vt 0.433243 0.105549 +vt 0.412986 0.140167 +vt 0.422752 0.116024 +vt 0.426816 0.116439 +vt 0.424284 0.121590 +vt 0.410874 0.145820 +vt 0.414481 0.146687 +vt 0.412303 0.151309 +vt 0.409407 0.150731 +vt 0.417926 0.148142 +vt 0.416710 0.141355 +vt 0.419963 0.143036 +vt 0.430509 0.111128 +vt 0.433335 0.112043 +vt 0.430735 0.117656 +vt 0.445644 0.080128 +vt 0.415004 0.153096 +vt 0.422669 0.150749 +vt 0.419133 0.155039 +vt 0.424241 0.133567 +vt 0.421970 0.138060 +vt 0.493754 0.063226 +vt 0.491961 0.057560 +vt 0.497217 0.057188 +vt 0.498087 0.061718 +vt 0.454362 0.065794 +vt 0.435711 0.120279 +vt 0.432525 0.126454 +vt 0.428896 0.123255 +vt 0.424850 0.145155 +vt 0.426481 0.140527 +vt 0.428023 0.135891 +vt 0.453832 0.100278 +vt 0.450796 0.097526 +vt 0.453148 0.092860 +vt 0.456461 0.096492 +vt 0.470353 0.069846 +vt 0.473926 0.077786 +vt 0.469032 0.080515 +vt 0.465058 0.072771 +vt 0.449825 0.103671 +vt 0.446297 0.101128 +vt 0.465022 0.084191 +vt 0.461186 0.077519 +vt 0.461916 0.088425 +vt 0.458586 0.082757 +vt 0.459142 0.111408 +vt 0.461416 0.108318 +vt 0.466795 0.114174 +vt 0.464249 0.116773 +vt 0.458962 0.092594 +vt 0.455196 0.087734 +vt 0.465033 0.104785 +vt 0.471374 0.110945 +vt 0.476047 0.067476 +vt 0.478907 0.075138 +vt 0.487253 0.092632 +vt 0.483017 0.084307 +vt 0.488511 0.082504 +vt 0.492692 0.091079 +vt 0.482683 0.094750 +vt 0.487110 0.102058 +vt 0.483633 0.103913 +vt 0.478902 0.096842 +vt 0.472084 0.100936 +vt 0.466540 0.094415 +vt 0.469918 0.091456 +vt 0.475375 0.098814 +vt 0.495111 0.081534 +vt 0.499460 0.090342 +vt 0.473949 0.060357 +vt 0.480816 0.058080 +vt 0.481464 0.065559 +vt 0.458559 0.063316 +vt 0.480443 0.105697 +vt 0.468595 0.103012 +vt 0.463161 0.097347 +vt 0.478188 0.086518 +vt 0.462189 0.067120 +vt 0.458308 0.071660 +vt 0.486849 0.060203 +vt 0.487885 0.064195 +vt 0.449002 0.094910 +vt 0.449717 0.089690 +vt 0.484413 0.073157 +vt 0.450988 0.083152 +vt 0.403746 0.144005 +vt 0.401078 0.143315 +vt 0.405871 0.125315 +vt 0.403984 0.140633 +vt 0.401239 0.141547 +vt 0.416031 0.111938 +vt 0.404589 0.124158 +vt 0.474568 0.041384 +vt 0.406929 0.122643 +vt 0.415831 0.110212 +vt 0.404875 0.122923 +vt 0.418629 0.109584 +vt 0.416738 0.109123 +vt 0.447158 0.055448 +vt 0.432385 0.078548 +vt 0.124804 0.771134 +vt 0.124446 0.778306 +vt 0.127799 0.853527 +vt 0.127754 0.859025 +vt 0.126458 0.831695 +vt 0.126653 0.838999 +vt 0.127932 0.863219 +vt 0.123076 0.793932 +vt 0.123306 0.786028 +vt 0.129563 0.871029 +vt 0.128500 0.866929 +vt 0.123010 0.760189 +vt 0.123722 0.762958 +vt 0.125789 0.824171 +vt 0.125160 0.816270 +vt 0.124481 0.766344 +vt 0.127117 0.846485 +vt 0.124735 0.809027 +vt 0.120492 0.861960 +vt 0.120744 0.865456 +vt 0.117600 0.785929 +vt 0.118720 0.778538 +vt 0.116482 0.760108 +vt 0.117490 0.763033 +vt 0.119003 0.824706 +vt 0.119627 0.831882 +vt 0.118484 0.817116 +vt 0.118573 0.766596 +vt 0.119865 0.839272 +vt 0.119997 0.846461 +vt 0.117956 0.809762 +vt 0.119073 0.771494 +vt 0.120520 0.853176 +vt 0.120471 0.858166 +vt 0.116954 0.793771 +vt 0.121833 0.869249 +vt 0.111031 0.760430 +vt 0.112568 0.763198 +vt 0.113898 0.825149 +vt 0.114345 0.831942 +vt 0.113539 0.817747 +vt 0.113950 0.766827 +vt 0.114655 0.839222 +vt 0.114899 0.846263 +vt 0.112683 0.810293 +vt 0.114762 0.771908 +vt 0.115242 0.852729 +vt 0.114565 0.778954 +vt 0.115032 0.857544 +vt 0.114951 0.861237 +vt 0.112345 0.793757 +vt 0.113465 0.786234 +vt 0.116313 0.868253 +vt 0.115186 0.864633 +vt 0.107882 0.763777 +vt 0.109195 0.767525 +vt 0.110005 0.838948 +vt 0.110511 0.845953 +vt 0.108805 0.818342 +vt 0.108116 0.810903 +vt 0.110258 0.772569 +vt 0.110479 0.852117 +vt 0.110308 0.779522 +vt 0.110244 0.856857 +vt 0.109524 0.831845 +vt 0.110334 0.860606 +vt 0.108126 0.794128 +vt 0.109358 0.786559 +vt 0.111616 0.867402 +vt 0.110910 0.864111 +vt 0.105810 0.761369 +vt 0.109214 0.825427 +vt 0.099268 0.763558 +vt 0.101336 0.765944 +vt 0.104389 0.825800 +vt 0.105030 0.831939 +vt 0.104161 0.819126 +vt 0.103176 0.769255 +vt 0.105546 0.838716 +vt 0.105695 0.845405 +vt 0.104015 0.811840 +vt 0.104534 0.773723 +vt 0.105384 0.851209 +vt 0.104665 0.780263 +vt 0.105112 0.855852 +vt 0.105100 0.859723 +vt 0.103748 0.794885 +vt 0.104097 0.787064 +vt 0.105935 0.866489 +vt 0.105618 0.863363 +vt 0.094362 0.769727 +vt 0.096339 0.772604 +vt 0.098748 0.838000 +vt 0.098406 0.844217 +vt 0.099121 0.820332 +vt 0.099957 0.813446 +vt 0.097563 0.776513 +vt 0.098300 0.849991 +vt 0.097980 0.781761 +vt 0.098041 0.854686 +vt 0.098879 0.832119 +vt 0.098075 0.858684 +vt 0.099156 0.796274 +vt 0.098361 0.788475 +vt 0.098925 0.865472 +vt 0.098504 0.862373 +vt 0.092564 0.766931 +vt 0.098599 0.826447 +vt 0.087779 0.777871 +vt 0.089203 0.781421 +vt 0.089183 0.843315 +vt 0.088897 0.848862 +vt 0.090419 0.785788 +vt 0.088560 0.853430 +vt 0.091044 0.832256 +vt 0.090008 0.837626 +vt 0.088773 0.857398 +vt 0.092043 0.798752 +vt 0.091287 0.791789 +vt 0.089954 0.864181 +vt 0.089246 0.860929 +vt 0.084086 0.771580 +vt 0.086002 0.774696 +vt 0.091603 0.826801 +vt 0.093157 0.821314 +vt 0.093568 0.815192 +vt 0.077534 0.787280 +vt 0.078559 0.791334 +vt 0.076906 0.847417 +vt 0.076914 0.851753 +vt 0.079775 0.831699 +vt 0.078445 0.836637 +vt 0.077171 0.855665 +vt 0.080033 0.801649 +vt 0.079201 0.796013 +vt 0.078109 0.862893 +vt 0.077809 0.859475 +vt 0.073104 0.777042 +vt 0.074815 0.780179 +vt 0.080867 0.826652 +vt 0.082036 0.821477 +vt 0.076303 0.783242 +vt 0.077615 0.841878 +vt 0.082196 0.815992 +vt 0.065498 0.831378 +vt 0.064498 0.835872 +vt 0.064029 0.849413 +vt 0.064316 0.853455 +vt 0.066717 0.805200 +vt 0.066113 0.800324 +vt 0.065096 0.860804 +vt 0.064914 0.857456 +vt 0.065608 0.796044 +vt 0.060773 0.782811 +vt 0.062434 0.785869 +vt 0.066809 0.826658 +vt 0.067778 0.822076 +vt 0.063859 0.788788 +vt 0.064142 0.840441 +vt 0.067992 0.817223 +vt 0.064839 0.792444 +vt 0.063864 0.845131 +vt 0.051407 0.857322 +vt 0.051441 0.853546 +vt 0.051199 0.850284 +vt 0.052866 0.804493 +vt 0.052408 0.800745 +vt 0.046828 0.788407 +vt 0.048954 0.791086 +vt 0.051688 0.826796 +vt 0.051030 0.830781 +vt 0.052630 0.822610 +vt 0.050581 0.794144 +vt 0.050608 0.834746 +vt 0.050533 0.838954 +vt 0.053188 0.818461 +vt 0.051712 0.797552 +vt 0.050536 0.843036 +vt 0.051043 0.847045 +vt 0.053145 0.808400 +vt 0.035196 0.792519 +vt 0.037160 0.795094 +vt 0.040774 0.827134 +vt 0.040263 0.830824 +vt 0.041334 0.823475 +vt 0.038856 0.798033 +vt 0.039917 0.834519 +vt 0.039879 0.837844 +vt 0.041313 0.819832 +vt 0.040155 0.801160 +vt 0.039920 0.840947 +vt 0.040964 0.804563 +vt 0.040045 0.843945 +vt 0.040012 0.846839 +vt 0.041511 0.811471 +vt 0.041387 0.807942 +vt 0.039259 0.853280 +vt 0.039386 0.849708 +vt 0.027731 0.798182 +vt 0.029256 0.801162 +vt 0.030870 0.833693 +vt 0.030893 0.836606 +vt 0.031817 0.824237 +vt 0.031589 0.821144 +vt 0.030519 0.804385 +vt 0.030943 0.839341 +vt 0.031331 0.807829 +vt 0.030944 0.841866 +vt 0.031063 0.830593 +vt 0.030860 0.844380 +vt 0.031776 0.814064 +vt 0.031729 0.810943 +vt 0.029963 0.850312 +vt 0.030651 0.847257 +vt 0.026035 0.795548 +vt 0.031459 0.827359 +vt 0.022171 0.803721 +vt 0.023238 0.807144 +vt 0.024006 0.835846 +vt 0.024042 0.838413 +vt 0.023993 0.810591 +vt 0.023978 0.840730 +vt 0.023981 0.830337 +vt 0.023872 0.833221 +vt 0.023821 0.843017 +vt 0.024522 0.816146 +vt 0.024490 0.813440 +vt 0.023077 0.848543 +vt 0.023609 0.845675 +vt 0.019230 0.797981 +vt 0.020841 0.800679 +vt 0.024137 0.827539 +vt 0.024298 0.824782 +vt 0.024162 0.821817 +vt 0.018218 0.808947 +vt 0.018787 0.812129 +vt 0.018193 0.838283 +vt 0.018106 0.840502 +vt 0.018116 0.830540 +vt 0.018129 0.833012 +vt 0.017987 0.842596 +vt 0.019017 0.817276 +vt 0.019159 0.814759 +vt 0.017482 0.847374 +vt 0.017862 0.844970 +vt 0.014388 0.799540 +vt 0.016098 0.802365 +vt 0.018205 0.827886 +vt 0.018301 0.825289 +vt 0.017350 0.805522 +vt 0.018206 0.835691 +vt 0.018132 0.822807 +vt 0.013578 0.830823 +vt 0.013530 0.833238 +vt 0.013373 0.840478 +vt 0.013328 0.842482 +vt 0.015233 0.817743 +vt 0.012369 0.818122 +vt 0.012953 0.815901 +vt 0.015461 0.815377 +vt 0.013534 0.846654 +vt 0.010255 0.846804 +vt 0.009737 0.844736 +vt 0.013415 0.844680 +vt 0.013277 0.813634 +vt 0.015391 0.813042 +vt 0.011357 0.800466 +vt 0.013256 0.803417 +vt 0.013647 0.828348 +vt 0.010077 0.828554 +vt 0.010272 0.825867 +vt 0.013783 0.825712 +vt 0.014437 0.806716 +vt 0.013529 0.835792 +vt 0.010629 0.823215 +vt 0.013939 0.822963 +vt 0.015139 0.810186 +vt 0.013468 0.838296 +vt 0.456573 0.079110 +vt 0.468783 0.067078 +vt 0.452648 0.076129 +vt 0.454095 0.072471 +vt 0.466991 0.063300 +vt 0.469702 0.059858 +vt 0.445942 0.093534 +vt 0.443075 0.095158 +vt 0.474240 0.053500 +vt 0.479583 0.052490 +vt 0.446585 0.090703 +vt 0.443771 0.085147 +vt 0.450102 0.077830 +vt 0.443577 0.098368 +vt 0.426497 0.128989 +vt 0.430016 0.131559 +vt 0.501349 0.110191 +vt 0.505649 0.109502 +vt 0.506755 0.114107 +vt 0.503030 0.114773 +vt 0.497345 0.111564 +vt 0.499442 0.116066 +vt 0.534369 0.074797 +vt 0.532414 0.073452 +vt 0.518344 0.064137 +vt 0.520469 0.065677 +vt 0.432163 0.177433 +vt 0.428414 0.174581 +vt 0.425057 0.173255 +vt 0.524181 0.068825 +vt 0.527435 0.070512 +vt 0.422888 0.172369 +vt 0.530174 0.072058 +vt 0.434516 0.179957 +vt 0.525903 0.072695 +vt 0.529060 0.074368 +vt 0.531432 0.075650 +vt 0.433462 0.175857 +vt 0.435731 0.178035 +vt 0.516448 0.065314 +vt 0.518466 0.067042 +vt 0.533441 0.076781 +vt 0.429333 0.172882 +vt 0.425985 0.171232 +vt 0.423936 0.170247 +vt 0.522232 0.070466 +vt 0.520538 0.072159 +vt 0.524472 0.075146 +vt 0.516595 0.068118 +vt 0.528202 0.076763 +vt 0.530597 0.077718 +vt 0.434224 0.174704 +vt 0.436849 0.176472 +vt 0.514919 0.066147 +vt 0.532761 0.078491 +vt 0.429862 0.171581 +vt 0.426556 0.169605 +vt 0.424444 0.168491 +vt 0.434888 0.173192 +vt 0.430412 0.170294 +vt 0.427146 0.168142 +vt 0.424760 0.166889 +vt 0.518745 0.073818 +vt 0.523024 0.077768 +vt 0.514685 0.068981 +vt 0.527014 0.079087 +vt 0.529767 0.079691 +vt 0.437721 0.174855 +vt 0.513442 0.066622 +vt 0.532228 0.080176 +vt 0.435620 0.172066 +vt 0.438621 0.172794 +vt 0.511800 0.066942 +vt 0.512602 0.070199 +vt 0.531934 0.082325 +vt 0.529030 0.082293 +vt 0.430984 0.168600 +vt 0.427468 0.166145 +vt 0.424798 0.165154 +vt 0.516652 0.075617 +vt 0.521057 0.080185 +vt 0.525678 0.081920 +vt 0.520177 0.083617 +vt 0.523991 0.085451 +vt 0.528373 0.086015 +vt 0.435532 0.167083 +vt 0.439688 0.169298 +vt 0.509642 0.067792 +vt 0.508933 0.071499 +vt 0.532278 0.085887 +vt 0.430813 0.164935 +vt 0.426863 0.163389 +vt 0.423087 0.163283 +vt 0.514752 0.078092 +vt 0.528094 0.090529 +vt 0.522948 0.089518 +vt 0.532820 0.090194 +vt 0.429322 0.154994 +vt 0.432139 0.149201 +vt 0.441414 0.153713 +vt 0.438889 0.158081 +vt 0.448235 0.156734 +vt 0.444992 0.160838 +vt 0.533416 0.095696 +vt 0.533468 0.100824 +vt 0.529150 0.102308 +vt 0.528631 0.096392 +vt 0.434074 0.144430 +vt 0.443431 0.149377 +vt 0.435699 0.140261 +vt 0.445009 0.145178 +vt 0.437444 0.136149 +vt 0.446427 0.140904 +vt 0.515738 0.092422 +vt 0.514904 0.098974 +vt 0.509229 0.098070 +vt 0.507369 0.091299 +vt 0.439800 0.131156 +vt 0.447969 0.135596 +vt 0.442539 0.124823 +vt 0.448876 0.128893 +vt 0.449416 0.121023 +vt 0.453774 0.126381 +vt 0.454873 0.132338 +vt 0.445461 0.117710 +vt 0.421953 0.157148 +vt 0.437034 0.162992 +vt 0.441741 0.165409 +vt 0.422675 0.126825 +vt 0.474131 0.109198 +vt 0.483655 0.055624 +vt 0.487004 0.056632 +vt 0.490047 0.055745 +vt 0.463237 0.063046 +vt 0.430922 0.161065 +vt 0.456926 0.103496 +vt 0.459979 0.100250 +vt 0.491313 0.100147 +vt 0.496265 0.098558 +vt 0.477201 0.107448 +vt 0.502492 0.097579 +vt 0.473830 0.088836 +vt 0.441195 0.109067 +vt 0.438193 0.113419 +vt 0.455341 0.138711 +vt 0.454606 0.144268 +vt 0.425524 0.159686 +vt 0.420118 0.161470 +vt 0.505312 0.070838 +vt 0.506598 0.066528 +vt 0.511198 0.080736 +vt 0.518197 0.087560 +vt 0.455326 0.114891 +vt 0.462540 0.124918 +vt 0.457559 0.124957 +vt 0.451997 0.118117 +vt 0.448307 0.113705 +vt 0.451093 0.110365 +vt 0.445920 0.105892 +vt 0.522525 0.095064 +vt 0.522894 0.102708 +vt 0.493784 0.113194 +vt 0.490898 0.108092 +vt 0.494774 0.106319 +vt 0.490671 0.114777 +vt 0.487584 0.109828 +vt 0.487669 0.116368 +vt 0.484494 0.111488 +vt 0.484685 0.118032 +vt 0.481451 0.113169 +vt 0.481843 0.119697 +vt 0.478550 0.114943 +vt 0.014633 0.820452 +vt 0.018492 0.820065 +vt 0.024262 0.819018 +vt 0.041529 0.815839 +vt 0.031666 0.817628 +vt 0.326925 0.865893 +vt 0.339260 0.878609 +vt 0.348348 0.892311 +vt 0.354063 0.908052 +vt 0.357063 0.921468 +vt 0.359049 0.932893 +vt 0.361025 0.943405 +vt 0.362717 0.949106 +vt 0.955880 0.407134 +vt 0.963795 0.398978 +vt 0.949401 0.413020 +vt 0.944300 0.417930 +vt 0.939918 0.422653 +vt 0.935916 0.427358 +vt 0.871506 0.479682 +vt 0.914950 0.457083 +vt 0.916263 0.455351 +vt 0.913036 0.460386 +vt 0.911818 0.462769 +vt 0.912433 0.461436 +vt 0.911480 0.463809 +vt 0.911422 0.464730 +vt 0.911088 0.465431 +vt 0.910515 0.466315 +vt 0.909881 0.467104 +vt 0.909619 0.467166 +vt 0.806973 0.044477 +vt 0.808191 0.046461 +vt 0.809351 0.048075 +vt 0.809900 0.049441 +vt 0.810501 0.052313 +vt 0.809920 0.057724 +vt 0.809525 0.066831 +vt 0.809155 0.078893 +vt 0.810194 0.092839 +vt 0.812018 0.109788 +vt 0.815858 0.119285 +vt 0.811648 0.127532 +vt 0.803059 0.119253 +vt 0.798901 0.106431 +vt 0.793482 0.093984 +vt 0.789824 0.080325 +vt 0.788773 0.066324 +vt 0.790184 0.056291 +vt 0.792467 0.049556 +vt 0.795411 0.046158 +vt 0.798499 0.044299 +vt 0.801895 0.042822 +vt 0.803913 0.040518 +vt 0.909272 0.467137 +vt 0.908962 0.466547 +vt 0.908322 0.465798 +vt 0.907849 0.465040 +vt 0.907712 0.464379 +vt 0.907777 0.463646 +vt 0.907571 0.462239 +vt 0.907579 0.460860 +vt 0.906937 0.459662 +vt 0.906074 0.457189 +vt 0.905359 0.455039 +vt 0.871494 0.477520 +vt 0.871692 0.475283 +vt 0.313478 0.853072 +vt 0.293954 0.836730 +vt 0.276491 0.827240 +vt 0.261197 0.821632 +vt 0.248598 0.815782 +vt 0.236716 0.809912 +vt 0.226890 0.805250 +vt 0.218747 0.801093 +vt 0.211762 0.798539 +vt 0.205399 0.797215 +vt 0.196233 0.796863 +vt 0.183276 0.797577 +vt 0.168446 0.799124 +vt 0.154397 0.799704 +vt 0.140921 0.801045 +vt 0.131938 0.801259 +vt 0.123883 0.801649 +vt 0.479231 0.121582 +vt 0.476195 0.117203 +vt 0.476477 0.124251 +vt 0.472586 0.120394 +vt 0.872936 0.478002 +vt 0.872997 0.475837 +vt 0.872220 0.472334 +vt 0.873346 0.469893 +vt 0.808200 0.124812 +vt 0.811904 0.121153 +vt 0.900964 0.457542 +vt 0.874795 0.467924 +vt 0.836369 0.405698 +vt 0.830259 0.409497 +vt 0.829081 0.405016 +vt 0.836163 0.400673 +vt 0.824532 0.415266 +vt 0.822520 0.411621 +vt 0.819446 0.422535 +vt 0.816842 0.419753 +vt 0.814903 0.430859 +vt 0.811547 0.440054 +vt 0.808114 0.438829 +vt 0.811746 0.428905 +vt 0.809319 0.449563 +vt 0.805569 0.449026 +vt 0.808021 0.459156 +vt 0.803789 0.458784 +vt 0.807419 0.468271 +vt 0.802896 0.468060 +vt 0.807324 0.476598 +vt 0.802621 0.476592 +vt 0.806960 0.483168 +vt 0.802180 0.483168 +vt 0.499266 0.104832 +vt 0.474533 0.127109 +vt 0.480075 0.127993 +vt 0.478367 0.130481 +vt 0.011551 0.820633 +vt 0.207350 0.918490 +vt 0.205245 0.910212 +vt 0.209844 0.926322 +vt 0.211652 0.935905 +vt 0.212975 0.943576 +vt 0.214111 0.951460 +vt 0.216070 0.959342 +vt 0.198659 0.898193 +vt 0.194694 0.894717 +vt 0.190194 0.892176 +vt 0.186140 0.889989 +vt 0.181453 0.887788 +vt 0.174245 0.885495 +vt 0.202093 0.903326 +vt 0.164578 0.883221 +vt 0.154448 0.881407 +vt 0.145448 0.878979 +vt 0.137475 0.877271 +vt 0.130524 0.875214 +vt 0.123922 0.873265 +vt 0.118257 0.871874 +vt 0.112927 0.870713 +vt 0.106887 0.869597 +vt 0.099591 0.868580 +vt 0.090153 0.867336 +vt 0.078131 0.866302 +vt 0.064903 0.864222 +vt 0.050941 0.861017 +vt 0.039027 0.856969 +vt 0.029806 0.853987 +vt 0.022627 0.852108 +vt 0.017261 0.850845 +vt 0.013888 0.850336 +vt 0.472587 0.132734 +vt 0.475878 0.135133 +vt 0.410018 0.155883 +vt 0.499957 0.057179 +vt 0.502356 0.060326 +vt 0.412297 0.156025 +vt 0.412751 0.158855 +vt 0.408755 0.158894 +vt 0.501645 0.068565 +vt 0.503931 0.063805 +vt 0.508032 0.082082 +vt 0.490456 0.071370 +vt 0.502093 0.081777 +vt 0.470784 0.123929 +vt 0.469646 0.130034 +vt 0.496514 0.069955 +vt 0.541638 0.125748 +vt 0.551847 0.129308 +vt 0.544186 0.133489 +vt 0.537498 0.130398 +vt 0.535482 0.122981 +vt 0.532247 0.126728 +vt 0.531257 0.119146 +vt 0.528434 0.122766 +vt 0.527940 0.115180 +vt 0.524958 0.118919 +vt 0.526284 0.110578 +vt 0.522310 0.115226 +vt 0.519464 0.109658 +vt 0.514333 0.105542 +vt 0.509674 0.104157 +vt 0.544718 0.122868 +vt 0.554137 0.124931 +vt 0.537956 0.120327 +vt 0.548041 0.119257 +vt 0.553902 0.120884 +vt 0.453196 0.148351 +vt 0.451186 0.152596 +vt 0.542138 0.116871 +vt 0.533335 0.116667 +vt 0.537571 0.113746 +vt 0.530992 0.112861 +vt 0.535341 0.110169 +vt 0.529670 0.108259 +vt 0.533863 0.105801 +vt 0.201802 0.922349 +vt 0.199056 0.914014 +vt 0.204650 0.930304 +vt 0.206619 0.937923 +vt 0.208068 0.945038 +vt 0.209529 0.952303 +vt 0.211492 0.960317 +vt 0.192779 0.901756 +vt 0.190126 0.898018 +vt 0.187125 0.895421 +vt 0.183866 0.893135 +vt 0.179546 0.890818 +vt 0.173576 0.888926 +vt 0.196024 0.907169 +vt 0.164627 0.886727 +vt 0.154358 0.884762 +vt 0.145337 0.882276 +vt 0.137515 0.880668 +vt 0.130630 0.878819 +vt 0.124448 0.876566 +vt 0.119176 0.874904 +vt 0.113937 0.873735 +vt 0.107181 0.872581 +vt 0.099815 0.871736 +vt 0.090342 0.871132 +vt 0.078321 0.869865 +vt 0.065041 0.867644 +vt 0.050589 0.864219 +vt 0.038948 0.860454 +vt 0.029756 0.857573 +vt 0.022694 0.855949 +vt 0.017704 0.854886 +vt 0.014549 0.854627 +vt 0.504333 0.103974 +vt 0.453904 0.106809 +vt 0.067596 0.811906 +vt 0.053586 0.814361 +vt 0.081374 0.809203 +vt 0.093377 0.806926 +vt 0.099960 0.804732 +vt 0.104134 0.803271 +vt 0.107904 0.802453 +vt 0.112134 0.802083 +vt 0.117203 0.801964 +vt 0.416376 0.160304 +vt 0.510200 0.110106 +vt 0.514137 0.111853 +vt 0.513763 0.116914 +vt 0.510550 0.115016 +vt 0.517862 0.114962 +vt 0.516081 0.119135 +vt 0.520003 0.118750 +vt 0.518187 0.121539 +vt 0.522794 0.121715 +vt 0.526223 0.125344 +vt 0.529898 0.129185 +vt 0.534774 0.132794 +vt 0.540675 0.135274 +vt 0.537276 0.137479 +vt 0.532348 0.134461 +vt 0.009969 0.831081 +vt 0.009879 0.833423 +vt 0.009556 0.840384 +vt 0.009516 0.842433 +vt 0.009208 0.801066 +vt 0.011293 0.804244 +vt 0.012470 0.807591 +vt 0.009794 0.835806 +vt 0.013125 0.810939 +vt 0.009682 0.838199 +vt 0.011041 0.850437 +vt 0.012355 0.854207 +vt 0.496185 0.117560 +vt 0.524182 0.127787 +vt 0.520817 0.124285 +vt 0.482399 0.125705 +vt 0.490272 0.120690 +vt 0.487351 0.122393 +vt 0.484726 0.124009 +vt 0.527850 0.131327 +vt 0.493224 0.119061 +vt 0.148970 0.664749 +vt 0.154088 0.668918 +vt 0.181338 0.689481 +vt 0.189961 0.694519 +vt 0.159437 0.673430 +vt 0.242029 0.702735 +vt 0.199040 0.697275 +vt 0.209461 0.698732 +vt 0.224247 0.700006 +vt 0.165416 0.678484 +vt 0.137297 0.654122 +vt 0.143700 0.660072 +vt 0.172516 0.684055 +vt 0.147645 0.652830 +vt 0.153754 0.657529 +vt 0.230096 0.685792 +vt 0.245976 0.689539 +vt 0.141772 0.647790 +vt 0.170774 0.669749 +vt 0.178477 0.674091 +vt 0.187784 0.678751 +vt 0.196639 0.682719 +vt 0.164575 0.665205 +vt 0.205625 0.684082 +vt 0.159114 0.661322 +vt 0.216324 0.685072 +vt 0.260240 0.698355 +vt 0.222584 0.670225 +vt 0.236090 0.670773 +vt 0.152589 0.644950 +vt 0.158378 0.649102 +vt 0.250755 0.674076 +vt 0.146748 0.639740 +vt 0.176598 0.658849 +vt 0.184387 0.662051 +vt 0.193828 0.665190 +vt 0.202889 0.668083 +vt 0.170056 0.655300 +vt 0.211611 0.669537 +vt 0.164346 0.652161 +vt 0.264447 0.682885 +vt 0.229920 0.653618 +vt 0.242674 0.655303 +vt 0.157444 0.635206 +vt 0.163548 0.637698 +vt 0.255922 0.658562 +vt 0.151331 0.631703 +vt 0.181846 0.645471 +vt 0.189367 0.647667 +vt 0.198716 0.649850 +vt 0.208619 0.652208 +vt 0.175362 0.643124 +vt 0.219866 0.653136 +vt 0.169560 0.640879 +vt 0.269360 0.665036 +vt 0.235677 0.637236 +vt 0.247657 0.638283 +vt 0.163047 0.623830 +vt 0.168492 0.626614 +vt 0.261559 0.642074 +vt 0.156400 0.620683 +vt 0.186050 0.632110 +vt 0.193144 0.634012 +vt 0.202411 0.635484 +vt 0.214565 0.636142 +vt 0.179894 0.630382 +vt 0.224942 0.636742 +vt 0.174105 0.628755 +vt 0.274457 0.647690 +vt 0.239055 0.621363 +vt 0.250774 0.623092 +vt 0.166443 0.613271 +vt 0.171878 0.615493 +vt 0.264560 0.625817 +vt 0.159437 0.611400 +vt 0.189989 0.620141 +vt 0.197705 0.620921 +vt 0.207414 0.621009 +vt 0.217910 0.621257 +vt 0.183468 0.619085 +vt 0.228320 0.621340 +vt 0.177556 0.617362 +vt 0.277429 0.629825 +vt 0.264940 0.610347 +vt 0.277770 0.612720 +vt 0.240110 0.606957 +vt 0.251180 0.608433 +vt 0.168885 0.603949 +vt 0.174448 0.605214 +vt 0.161780 0.602272 +vt 0.192720 0.608336 +vt 0.200766 0.608277 +vt 0.210392 0.608090 +vt 0.220207 0.607472 +vt 0.185963 0.607871 +vt 0.230149 0.607168 +vt 0.179998 0.606874 +vt 0.176292 0.596210 +vt 0.181687 0.597395 +vt 0.263601 0.598568 +vt 0.276075 0.600283 +vt 0.239868 0.595141 +vt 0.250380 0.596249 +vt 0.170465 0.595060 +vt 0.162756 0.594393 +vt 0.194547 0.597973 +vt 0.203168 0.597300 +vt 0.211948 0.597024 +vt 0.221546 0.596230 +vt 0.187612 0.597979 +vt 0.230709 0.595653 +vt 0.230523 0.587020 +vt 0.230296 0.579035 +vt 0.239515 0.579066 +vt 0.239246 0.587022 +vt 0.176523 0.588466 +vt 0.182687 0.589528 +vt 0.262791 0.588912 +vt 0.262086 0.580329 +vt 0.274350 0.581491 +vt 0.275054 0.590303 +vt 0.249861 0.579530 +vt 0.250362 0.587745 +vt 0.170580 0.587444 +vt 0.162948 0.586878 +vt 0.195881 0.589935 +vt 0.204130 0.588987 +vt 0.188729 0.590050 +vt 0.229773 0.570749 +vt 0.239357 0.570239 +vt 0.176805 0.582488 +vt 0.176194 0.576468 +vt 0.182411 0.576169 +vt 0.182920 0.582847 +vt 0.261737 0.571313 +vt 0.274232 0.572540 +vt 0.249286 0.570901 +vt 0.170347 0.582272 +vt 0.169736 0.577060 +vt 0.162690 0.582205 +vt 0.162250 0.577728 +vt 0.196524 0.582326 +vt 0.195999 0.574590 +vt 0.203986 0.573360 +vt 0.204421 0.581357 +vt 0.189087 0.582864 +vt 0.188870 0.575593 +vt 0.273111 0.703919 +vt 0.275920 0.689271 +vt 0.289759 0.614288 +vt 0.287971 0.602025 +vt 0.301423 0.602726 +vt 0.302578 0.616075 +vt 0.289895 0.633049 +vt 0.301957 0.635657 +vt 0.287191 0.652569 +vt 0.359753 0.600939 +vt 0.359876 0.587342 +vt 0.370792 0.588286 +vt 0.369993 0.601827 +vt 0.299966 0.656183 +vt 0.380530 0.589941 +vt 0.380530 0.602970 +vt 0.313779 0.657074 +vt 0.330818 0.661332 +vt 0.346023 0.599292 +vt 0.346736 0.585857 +vt 0.281770 0.672501 +vt 0.358962 0.635896 +vt 0.359095 0.618572 +vt 0.370142 0.620787 +vt 0.370057 0.638369 +vt 0.315636 0.638719 +vt 0.331530 0.643717 +vt 0.380530 0.620914 +vt 0.380530 0.639221 +vt 0.346557 0.631518 +vt 0.346253 0.615495 +vt 0.359447 0.653699 +vt 0.370259 0.656084 +vt 0.380530 0.657314 +vt 0.347080 0.649765 +vt 0.316625 0.617982 +vt 0.331830 0.623481 +vt 0.347552 0.666892 +vt 0.358753 0.670726 +vt 0.369255 0.673239 +vt 0.380530 0.672843 +vt 0.315961 0.604579 +vt 0.331719 0.609667 +vt 0.315747 0.594549 +vt 0.315135 0.584618 +vt 0.331394 0.585463 +vt 0.331898 0.597222 +vt 0.300674 0.593168 +vt 0.300559 0.583715 +vt 0.287208 0.592000 +vt 0.286972 0.582761 +vt 0.221976 0.587175 +vt 0.213104 0.588022 +vt 0.371845 0.575858 +vt 0.374374 0.572033 +vt 0.380530 0.574131 +vt 0.380530 0.578470 +vt 0.369360 0.564657 +vt 0.372620 0.564276 +vt 0.370852 0.552018 +vt 0.373556 0.556708 +vt 0.380530 0.546910 +vt 0.380530 0.552175 +vt 0.375594 0.568462 +vt 0.380530 0.569576 +vt 0.374472 0.563969 +vt 0.375122 0.559485 +vt 0.380530 0.556894 +vt 0.380530 0.563674 +vt 0.331110 0.574379 +vt 0.345686 0.574943 +vt 0.315493 0.574201 +vt 0.287020 0.573218 +vt 0.300459 0.573923 +vt 0.359476 0.576780 +vt 0.315295 0.563219 +vt 0.330522 0.563198 +vt 0.300302 0.563343 +vt 0.227968 0.560191 +vt 0.238486 0.560366 +vt 0.286795 0.562993 +vt 0.249276 0.561254 +vt 0.345101 0.562909 +vt 0.274005 0.562598 +vt 0.261525 0.561505 +vt 0.358320 0.563330 +vt 0.222010 0.579281 +vt 0.213091 0.580192 +vt 0.273623 0.551201 +vt 0.285925 0.551434 +vt 0.299082 0.551284 +vt 0.314436 0.550544 +vt 0.249094 0.550669 +vt 0.261373 0.550622 +vt 0.344547 0.548534 +vt 0.357742 0.548495 +vt 0.330033 0.549915 +vt 0.226449 0.549316 +vt 0.237312 0.549817 +vt 0.219690 0.560982 +vt 0.217264 0.549813 +vt 0.221673 0.571016 +vt 0.212438 0.571952 +vt 0.168474 0.570386 +vt 0.174661 0.568907 +vt 0.194589 0.565959 +vt 0.202726 0.564519 +vt 0.181106 0.568506 +vt 0.187466 0.567543 +vt 0.161552 0.571545 +vt 0.184619 0.557335 +vt 0.191907 0.555377 +vt 0.166220 0.561303 +vt 0.172354 0.559830 +vt 0.199953 0.553433 +vt 0.178301 0.558632 +vt 0.160064 0.562081 +vt 0.211117 0.562593 +vt 0.208528 0.551370 +vt 0.155335 0.541079 +vt 0.152463 0.529266 +vt 0.156944 0.528538 +vt 0.160020 0.538946 +vt 0.183880 0.531727 +vt 0.179960 0.521075 +vt 0.188400 0.518348 +vt 0.192119 0.529359 +vt 0.176289 0.534477 +vt 0.172456 0.523506 +vt 0.169981 0.536330 +vt 0.166038 0.525747 +vt 0.164836 0.537636 +vt 0.160915 0.527280 +vt 0.205102 0.538985 +vt 0.201256 0.527938 +vt 0.210570 0.526790 +vt 0.213996 0.537714 +vt 0.196961 0.516901 +vt 0.206804 0.515742 +vt 0.176532 0.510237 +vt 0.173470 0.500091 +vt 0.181118 0.497974 +vt 0.184482 0.507762 +vt 0.167994 0.513153 +vt 0.164298 0.502299 +vt 0.161561 0.515292 +vt 0.158276 0.503635 +vt 0.156308 0.516717 +vt 0.152822 0.504882 +vt 0.152975 0.517604 +vt 0.149171 0.505618 +vt 0.149815 0.518679 +vt 0.146261 0.506160 +vt 0.169657 0.492038 +vt 0.178413 0.489420 +vt 0.161597 0.493978 +vt 0.192983 0.505876 +vt 0.189804 0.495672 +vt 0.200034 0.493412 +vt 0.202799 0.504336 +vt 0.155744 0.495037 +vt 0.150272 0.495855 +vt 0.146260 0.496522 +vt 0.143564 0.497213 +vt 0.139121 0.486548 +vt 0.142801 0.485869 +vt 0.166741 0.483607 +vt 0.175815 0.481013 +vt 0.158784 0.485412 +vt 0.187461 0.486612 +vt 0.197905 0.483748 +vt 0.152721 0.486110 +vt 0.146856 0.485983 +vt 0.132932 0.475891 +vt 0.137077 0.475088 +vt 0.162868 0.473950 +vt 0.172852 0.472279 +vt 0.155500 0.476299 +vt 0.185569 0.477809 +vt 0.196554 0.474659 +vt 0.148249 0.476253 +vt 0.141980 0.475895 +vt 0.148387 0.462934 +vt 0.156241 0.457943 +vt 0.183995 0.469087 +vt 0.196145 0.465909 +vt 0.143108 0.465523 +vt 0.134889 0.465223 +vt 0.129468 0.465010 +vt 0.125609 0.466406 +vt 0.169992 0.460437 +vt 0.158979 0.446535 +vt 0.171046 0.449335 +vt 0.183867 0.459380 +vt 0.197224 0.457300 +vt 0.128892 0.457706 +vt 0.135301 0.456413 +vt 0.123987 0.459109 +vt 0.120660 0.462046 +vt 0.236659 0.538063 +vt 0.234989 0.526447 +vt 0.247714 0.526352 +vt 0.248852 0.538421 +vt 0.272464 0.538447 +vt 0.270879 0.525289 +vt 0.282777 0.524539 +vt 0.285320 0.538352 +vt 0.259423 0.525800 +vt 0.260743 0.538171 +vt 0.224057 0.537686 +vt 0.222070 0.526576 +vt 0.219346 0.515115 +vt 0.232434 0.514912 +vt 0.245709 0.513929 +vt 0.269404 0.512316 +vt 0.282040 0.511016 +vt 0.257591 0.513256 +vt 0.216089 0.503422 +vt 0.213121 0.491666 +vt 0.226932 0.489670 +vt 0.229518 0.502085 +vt 0.240545 0.487610 +vt 0.243093 0.500963 +vt 0.268305 0.498467 +vt 0.266924 0.483638 +vt 0.280421 0.481238 +vt 0.281368 0.496667 +vt 0.253452 0.485723 +vt 0.255228 0.500080 +vt 0.211274 0.481176 +vt 0.225110 0.478336 +vt 0.238963 0.475177 +vt 0.265929 0.469952 +vt 0.279546 0.466476 +vt 0.252239 0.472479 +vt 0.210272 0.471547 +vt 0.224373 0.468058 +vt 0.238339 0.464593 +vt 0.265661 0.459137 +vt 0.278684 0.455570 +vt 0.251961 0.461856 +vt 0.210595 0.462623 +vt 0.224850 0.458923 +vt 0.238510 0.455651 +vt 0.265362 0.450137 +vt 0.277323 0.446981 +vt 0.251930 0.452949 +vt 0.211501 0.454584 +vt 0.225384 0.451103 +vt 0.238573 0.447750 +vt 0.321025 0.426499 +vt 0.315776 0.417871 +vt 0.329956 0.409463 +vt 0.337185 0.418694 +vt 0.251399 0.444715 +vt 0.275693 0.438924 +vt 0.273817 0.431690 +vt 0.284117 0.428881 +vt 0.286940 0.436399 +vt 0.355970 0.511408 +vt 0.355942 0.492411 +vt 0.367792 0.488718 +vt 0.368091 0.508978 +vt 0.314631 0.536366 +vt 0.314261 0.521116 +vt 0.329258 0.517964 +vt 0.329591 0.533882 +vt 0.343238 0.514551 +vt 0.343728 0.531517 +vt 0.356761 0.529672 +vt 0.298804 0.537629 +vt 0.298018 0.523388 +vt 0.296672 0.509541 +vt 0.313601 0.505695 +vt 0.329220 0.501471 +vt 0.342871 0.496636 +vt 0.380530 0.487454 +vt 0.380530 0.507746 +vt 0.295513 0.493952 +vt 0.294874 0.478343 +vt 0.311456 0.474150 +vt 0.312780 0.489853 +vt 0.329152 0.484269 +vt 0.328605 0.468486 +vt 0.344851 0.460659 +vt 0.343497 0.478473 +vt 0.368570 0.469303 +vt 0.369489 0.452841 +vt 0.380530 0.452298 +vt 0.380530 0.468378 +vt 0.359192 0.455137 +vt 0.356999 0.473381 +vt 0.293662 0.463410 +vt 0.310170 0.459594 +vt 0.328218 0.454597 +vt 0.346523 0.446732 +vt 0.370337 0.439148 +vt 0.380530 0.437972 +vt 0.361741 0.441986 +vt 0.291877 0.452788 +vt 0.309104 0.448990 +vt 0.328343 0.443627 +vt 0.351569 0.434732 +vt 0.371396 0.429692 +vt 0.380530 0.428684 +vt 0.363729 0.431491 +vt 0.289438 0.444446 +vt 0.306988 0.440383 +vt 0.325596 0.434381 +vt 0.373065 0.415562 +vt 0.373759 0.401369 +vt 0.380530 0.402393 +vt 0.380530 0.416335 +vt 0.366693 0.415380 +vt 0.370064 0.400318 +vt 0.362115 0.414267 +vt 0.365260 0.397739 +vt 0.369697 0.528267 +vt 0.380530 0.527740 +vt 0.157462 0.550022 +vt 0.163001 0.548662 +vt 0.187830 0.543139 +vt 0.196146 0.540723 +vt 0.180339 0.545332 +vt 0.174073 0.546970 +vt 0.168509 0.548089 +vt 0.344017 0.425261 +vt 0.238412 0.441500 +vt 0.225267 0.444793 +vt 0.211383 0.447642 +vt 0.197653 0.448970 +vt 0.303705 0.432257 +vt 0.250734 0.438205 +vt 0.184366 0.449497 +vt 0.361732 0.382722 +vt 0.366294 0.386181 +vt 0.358895 0.393106 +vt 0.354097 0.408429 +vt 0.299877 0.423994 +vt 0.352547 0.388413 +vt 0.347093 0.402771 +vt 0.356416 0.378464 +vt 0.346054 0.383117 +vt 0.339854 0.396021 +vt 0.350951 0.373405 +vt 0.264365 0.442271 +vt 0.263017 0.435433 +vt 0.139424 0.452710 +vt 0.144043 0.446663 +vt 0.147698 0.439610 +vt 0.345185 0.367562 +vt 0.339122 0.376783 +vt 0.295755 0.415520 +vt 0.281363 0.421463 +vt 0.172964 0.441035 +vt 0.185238 0.442067 +vt 0.150136 0.432240 +vt 0.160984 0.437475 +vt 0.210984 0.441440 +vt 0.224693 0.439006 +vt 0.271633 0.425050 +vt 0.197803 0.442154 +vt 0.261463 0.429204 +vt 0.310096 0.408157 +vt 0.322062 0.399432 +vt 0.237714 0.435757 +vt 0.249826 0.432494 +vt 0.331838 0.387643 +vt 0.173881 0.431440 +vt 0.185596 0.433635 +vt 0.197860 0.434148 +vt 0.303238 0.397429 +vt 0.290894 0.405807 +vt 0.236033 0.427682 +vt 0.223538 0.430937 +vt 0.162179 0.427585 +vt 0.331405 0.368249 +vt 0.323447 0.377676 +vt 0.247831 0.424628 +vt 0.278216 0.412183 +vt 0.268704 0.416702 +vt 0.258974 0.421053 +vt 0.338605 0.360233 +vt 0.210440 0.433346 +vt 0.314207 0.388375 +vt 0.151493 0.423721 +vt 0.287957 0.370235 +vt 0.297624 0.361481 +vt 0.305814 0.375556 +vt 0.295740 0.384496 +vt 0.306236 0.352919 +vt 0.315243 0.365997 +vt 0.313791 0.345170 +vt 0.297021 0.339796 +vt 0.304298 0.332547 +vt 0.320907 0.338433 +vt 0.311182 0.326160 +vt 0.318143 0.320663 +vt 0.328024 0.332553 +vt 0.144648 0.389677 +vt 0.143308 0.405214 +vt 0.133879 0.402807 +vt 0.136027 0.387895 +vt 0.153629 0.392475 +vt 0.152633 0.408765 +vt 0.163227 0.396467 +vt 0.162606 0.413400 +vt 0.172856 0.400312 +vt 0.172914 0.417859 +vt 0.183306 0.402879 +vt 0.184404 0.419980 +vt 0.195092 0.403202 +vt 0.182251 0.384984 +vt 0.193961 0.385192 +vt 0.206189 0.402329 +vt 0.208557 0.419689 +vt 0.196662 0.420777 +vt 0.216365 0.341253 +vt 0.220781 0.360394 +vt 0.212413 0.362083 +vt 0.208478 0.342006 +vt 0.164152 0.359730 +vt 0.162797 0.340212 +vt 0.171257 0.341422 +vt 0.172527 0.362041 +vt 0.285154 0.305626 +vt 0.294595 0.318883 +vt 0.287875 0.325600 +vt 0.279329 0.311707 +vt 0.223579 0.339387 +vt 0.228303 0.359139 +vt 0.254865 0.329769 +vt 0.263151 0.347268 +vt 0.254846 0.352239 +vt 0.246947 0.334326 +vt 0.238618 0.337009 +vt 0.246262 0.355543 +vt 0.237000 0.357981 +vt 0.230943 0.338451 +vt 0.291025 0.300072 +vt 0.301035 0.312863 +vt 0.202428 0.363402 +vt 0.199471 0.342435 +vt 0.271727 0.340574 +vt 0.263328 0.324658 +vt 0.271974 0.318557 +vt 0.280692 0.333014 +vt 0.192731 0.363664 +vt 0.190343 0.342488 +vt 0.154626 0.358010 +vt 0.153784 0.339212 +vt 0.180284 0.342585 +vt 0.181472 0.363269 +vt 0.220524 0.327200 +vt 0.227406 0.326444 +vt 0.187490 0.329718 +vt 0.196977 0.329108 +vt 0.234175 0.325078 +vt 0.241403 0.322064 +vt 0.152388 0.326650 +vt 0.161127 0.326956 +vt 0.169256 0.328446 +vt 0.177957 0.329403 +vt 0.258355 0.313761 +vt 0.249881 0.318900 +vt 0.213544 0.328080 +vt 0.205780 0.328769 +vt 0.278934 0.296376 +vt 0.273244 0.301989 +vt 0.284364 0.291414 +vt 0.266190 0.309104 +vt 0.253958 0.305893 +vt 0.247143 0.309672 +vt 0.211294 0.318754 +vt 0.203573 0.319731 +vt 0.159466 0.318890 +vt 0.167356 0.319872 +vt 0.275161 0.289740 +vt 0.268873 0.295088 +vt 0.218360 0.317570 +vt 0.239179 0.312675 +vt 0.232139 0.314478 +vt 0.225194 0.316045 +vt 0.280927 0.285154 +vt 0.194633 0.320439 +vt 0.260776 0.301340 +vt 0.185273 0.320884 +vt 0.151036 0.318956 +vt 0.175835 0.320548 +vt 0.216310 0.309199 +vt 0.223167 0.307475 +vt 0.183516 0.313469 +vt 0.192638 0.313222 +vt 0.230094 0.305731 +vt 0.237016 0.303841 +vt 0.149850 0.312547 +vt 0.157940 0.312483 +vt 0.165891 0.312871 +vt 0.174681 0.313147 +vt 0.251714 0.298332 +vt 0.244333 0.301398 +vt 0.209383 0.310671 +vt 0.201847 0.312089 +vt 0.271923 0.283714 +vt 0.265428 0.288808 +vt 0.277974 0.279352 +vt 0.257066 0.295102 +vt 0.248949 0.291854 +vt 0.242106 0.293962 +vt 0.207486 0.302961 +vt 0.199955 0.304637 +vt 0.156778 0.306237 +vt 0.164604 0.306252 +vt 0.269078 0.277684 +vt 0.262675 0.282624 +vt 0.214472 0.301307 +vt 0.235053 0.295930 +vt 0.228059 0.297919 +vt 0.221424 0.299513 +vt 0.275015 0.273609 +vt 0.190696 0.306452 +vt 0.254372 0.289069 +vt 0.181867 0.306705 +vt 0.148907 0.306114 +vt 0.173403 0.306347 +vt 0.246435 0.285469 +vt 0.251806 0.282815 +vt 0.212745 0.293358 +vt 0.220005 0.291582 +vt 0.180227 0.299307 +vt 0.188973 0.298746 +vt 0.226852 0.290472 +vt 0.234004 0.288946 +vt 0.148237 0.298727 +vt 0.155930 0.298965 +vt 0.163672 0.298843 +vt 0.172245 0.298941 +vt 0.239983 0.287566 +vt 0.205886 0.294922 +vt 0.198164 0.296630 +vt 0.266132 0.271401 +vt 0.259581 0.276338 +vt 0.271821 0.267473 +vt 0.244363 0.278463 +vt 0.237922 0.280999 +vt 0.204160 0.286948 +vt 0.196534 0.288080 +vt 0.154998 0.290177 +vt 0.162551 0.290161 +vt 0.262408 0.264187 +vt 0.256110 0.269020 +vt 0.211144 0.285862 +vt 0.232297 0.282526 +vt 0.225581 0.283456 +vt 0.218392 0.284553 +vt 0.267958 0.260074 +vt 0.187391 0.289606 +vt 0.249051 0.275470 +vt 0.178964 0.290321 +vt 0.147425 0.290055 +vt 0.171031 0.290171 +vt 0.223674 0.276793 +vt 0.216754 0.277626 +vt 0.264012 0.251570 +vt 0.257837 0.255699 +vt 0.185777 0.280551 +vt 0.194629 0.279827 +vt 0.241019 0.270502 +vt 0.245707 0.266790 +vt 0.209642 0.278532 +vt 0.177326 0.281019 +vt 0.230441 0.275596 +vt 0.146158 0.280379 +vt 0.153685 0.280698 +vt 0.161391 0.280935 +vt 0.169132 0.281026 +vt 0.235896 0.273493 +vt 0.202448 0.279083 +vt 0.251935 0.260490 +vt 0.175692 0.272757 +vt 0.167420 0.272151 +vt 0.238050 0.260241 +vt 0.233429 0.264091 +vt 0.200799 0.270928 +vt 0.193145 0.271430 +vt 0.152513 0.270796 +vt 0.159886 0.271597 +vt 0.253581 0.246224 +vt 0.248017 0.250636 +vt 0.208159 0.270470 +vt 0.228227 0.266970 +vt 0.221859 0.268152 +vt 0.215525 0.269233 +vt 0.259437 0.242509 +vt 0.184203 0.272555 +vt 0.242522 0.256092 +vt 0.144776 0.270220 +vt 0.220177 0.257872 +vt 0.213702 0.259101 +vt 0.255091 0.233009 +vt 0.249263 0.236360 +vt 0.183260 0.263023 +vt 0.191659 0.261753 +vt 0.234854 0.248589 +vt 0.238899 0.244689 +vt 0.206416 0.260751 +vt 0.174463 0.262957 +vt 0.225790 0.256027 +vt 0.144331 0.260495 +vt 0.150961 0.260604 +vt 0.157966 0.261569 +vt 0.165906 0.262225 +vt 0.230686 0.252591 +vt 0.199151 0.261380 +vt 0.243885 0.240224 +vt 0.142918 0.250025 +vt 0.149940 0.250383 +vt 0.156538 0.251100 +vt 0.164934 0.251449 +vt 0.173327 0.251701 +vt 0.231618 0.236221 +vt 0.227588 0.240021 +vt 0.197606 0.250778 +vt 0.189752 0.251119 +vt 0.244150 0.226273 +vt 0.239081 0.229643 +vt 0.205185 0.249627 +vt 0.223202 0.243236 +vt 0.218154 0.245645 +vt 0.212139 0.247307 +vt 0.250014 0.223075 +vt 0.181937 0.251599 +vt 0.234968 0.233113 +vt 0.196454 0.237836 +vt 0.203934 0.235916 +vt 0.224199 0.226793 +vt 0.220190 0.229788 +vt 0.215633 0.232138 +vt 0.210294 0.233896 +vt 0.243955 0.212460 +vt 0.238556 0.215457 +vt 0.180143 0.239857 +vt 0.188035 0.239310 +vt 0.227740 0.223730 +vt 0.230816 0.221081 +vt 0.171869 0.240172 +vt 0.141762 0.238740 +vt 0.149065 0.239303 +vt 0.155854 0.239828 +vt 0.163854 0.240136 +vt 0.234238 0.218396 +vt 0.141354 0.226609 +vt 0.148454 0.227628 +vt 0.154492 0.228059 +vt 0.161688 0.228087 +vt 0.169243 0.228397 +vt 0.223367 0.210543 +vt 0.220311 0.212725 +vt 0.194677 0.224052 +vt 0.187039 0.226274 +vt 0.232821 0.203491 +vt 0.229086 0.206113 +vt 0.201818 0.221643 +vt 0.216611 0.215387 +vt 0.212567 0.217873 +vt 0.207923 0.219572 +vt 0.237547 0.200831 +vt 0.177856 0.227878 +vt 0.226103 0.208456 +vt 0.225924 0.190144 +vt 0.222549 0.192223 +vt 0.190669 0.205967 +vt 0.196996 0.204077 +vt 0.214423 0.197028 +vt 0.211054 0.198815 +vt 0.207284 0.200554 +vt 0.202913 0.202098 +vt 0.230197 0.187876 +vt 0.174894 0.210528 +vt 0.183100 0.208318 +vt 0.217237 0.195561 +vt 0.219786 0.194002 +vt 0.167143 0.211958 +vt 0.141531 0.211539 +vt 0.147428 0.212807 +vt 0.153151 0.213292 +vt 0.159843 0.212807 +vt 0.042654 0.166465 +vt 0.037010 0.165843 +vt 0.037743 0.158709 +vt 0.043475 0.159371 +vt 0.120006 0.129493 +vt 0.113792 0.123378 +vt 0.118509 0.120971 +vt 0.124790 0.127127 +vt 0.051633 0.133283 +vt 0.053648 0.124908 +vt 0.058605 0.125218 +vt 0.056826 0.134212 +vt 0.064794 0.126021 +vt 0.061925 0.135609 +vt 0.070319 0.132765 +vt 0.067237 0.138808 +vt 0.177813 0.148848 +vt 0.173716 0.149708 +vt 0.171870 0.143287 +vt 0.177018 0.141700 +vt 0.180452 0.158531 +vt 0.176491 0.159698 +vt 0.188345 0.179871 +vt 0.183104 0.181175 +vt 0.176925 0.182784 +vt 0.171645 0.161771 +vt 0.170310 0.184453 +vt 0.166556 0.163247 +vt 0.164732 0.153027 +vt 0.168865 0.151118 +vt 0.198349 0.177621 +vt 0.201957 0.176560 +vt 0.198337 0.154951 +vt 0.207581 0.174739 +vt 0.204971 0.175637 +vt 0.195662 0.155634 +vt 0.146546 0.188960 +vt 0.143488 0.168164 +vt 0.149185 0.165459 +vt 0.152357 0.188137 +vt 0.207385 0.153377 +vt 0.216806 0.171767 +vt 0.213240 0.172997 +vt 0.203690 0.154062 +vt 0.185419 0.157673 +vt 0.193912 0.178551 +vt 0.192837 0.156545 +vt 0.211691 0.152158 +vt 0.220848 0.170191 +vt 0.201050 0.154461 +vt 0.210258 0.173869 +vt 0.189863 0.157436 +vt 0.164154 0.185676 +vt 0.160800 0.164098 +vt 0.141036 0.189367 +vt 0.138726 0.169116 +vt 0.155518 0.164532 +vt 0.158265 0.187019 +vt 0.195890 0.144683 +vt 0.198314 0.144837 +vt 0.182948 0.147550 +vt 0.187109 0.147281 +vt 0.162888 0.146629 +vt 0.167112 0.144801 +vt 0.193119 0.145372 +vt 0.086505 0.101060 +vt 0.090474 0.100649 +vt 0.093868 0.114466 +vt 0.089601 0.113590 +vt 0.190330 0.146353 +vt 0.111432 0.032751 +vt 0.111184 0.034599 +vt 0.106902 0.034266 +vt 0.106990 0.032338 +vt 0.102249 0.021857 +vt 0.103204 0.020892 +vt 0.104023 0.023514 +vt 0.103451 0.024343 +vt 0.112722 0.018428 +vt 0.114236 0.017919 +vt 0.114000 0.020669 +vt 0.112823 0.019993 +vt 0.104929 0.020073 +vt 0.105748 0.020037 +vt 0.105306 0.022288 +vt 0.104868 0.022525 +vt 0.117496 0.022413 +vt 0.117735 0.025125 +vt 0.115670 0.026183 +vt 0.115251 0.024097 +vt 0.118995 0.030366 +vt 0.115896 0.031102 +vt 0.115921 0.029112 +vt 0.118332 0.028677 +vt 0.111599 0.031215 +vt 0.107424 0.031103 +vt 0.119505 0.033471 +vt 0.115998 0.034652 +vt 0.115759 0.032526 +vt 0.119528 0.031901 +vt 0.111823 0.029928 +vt 0.107790 0.029828 +vt 0.127365 0.026268 +vt 0.124828 0.027789 +vt 0.124697 0.025822 +vt 0.126882 0.024460 +vt 0.128256 0.028803 +vt 0.125668 0.030331 +vt 0.125204 0.029074 +vt 0.127681 0.027811 +vt 0.123877 0.019062 +vt 0.125228 0.020588 +vt 0.123180 0.021778 +vt 0.122210 0.020007 +vt 0.108761 0.016600 +vt 0.108195 0.015302 +vt 0.109979 0.014831 +vt 0.109785 0.016420 +vt 0.106431 0.020208 +vt 0.105797 0.022066 +vt 0.108658 0.017210 +vt 0.108222 0.017612 +vt 0.107807 0.017212 +vt 0.112197 0.019043 +vt 0.112202 0.019721 +vt 0.100099 0.028769 +vt 0.099149 0.030023 +vt 0.097625 0.027193 +vt 0.098460 0.026349 +vt 0.108939 0.027460 +vt 0.109222 0.026482 +vt 0.111906 0.025788 +vt 0.112034 0.027740 +vt 0.109489 0.025141 +vt 0.109527 0.024394 +vt 0.111226 0.022768 +vt 0.111458 0.023441 +vt 0.101269 0.027199 +vt 0.099602 0.025078 +vt 0.102175 0.026328 +vt 0.100459 0.024058 +vt 0.109384 0.023866 +vt 0.111025 0.022506 +vt 0.112299 0.017557 +vt 0.113328 0.016334 +vt 0.119066 0.021577 +vt 0.119400 0.023609 +vt 0.121518 0.029051 +vt 0.121043 0.027657 +vt 0.122391 0.032516 +vt 0.122183 0.030613 +vt 0.129762 0.025191 +vt 0.128798 0.023252 +vt 0.130784 0.027027 +vt 0.130418 0.026187 +vt 0.124993 0.018182 +vt 0.126664 0.019892 +vt 0.106788 0.016372 +vt 0.109604 0.016953 +vt 0.111908 0.018178 +vt 0.105981 0.026261 +vt 0.104924 0.028365 +vt 0.073321 0.016418 +vt 0.073785 0.015303 +vt 0.075334 0.015687 +vt 0.075351 0.016359 +vt 0.078107 0.011068 +vt 0.078720 0.010569 +vt 0.079131 0.011904 +vt 0.078530 0.011943 +vt 0.074759 0.014159 +vt 0.074969 0.013891 +vt 0.075512 0.014649 +vt 0.075437 0.014937 +vt 0.144194 0.014048 +vt 0.143886 0.017236 +vt 0.141259 0.015596 +vt 0.142443 0.013551 +vt 0.073079 0.017516 +vt 0.075603 0.017541 +vt 0.133853 0.123917 +vt 0.127375 0.117797 +vt 0.131244 0.116507 +vt 0.137430 0.122578 +vt 0.149789 0.014661 +vt 0.149337 0.018097 +vt 0.147497 0.017947 +vt 0.147981 0.014070 +vt 0.075010 0.011405 +vt 0.074395 0.011150 +vt 0.075283 0.009935 +vt 0.075790 0.010703 +vt 0.075346 0.013676 +vt 0.075661 0.014336 +vt 0.075455 0.011610 +vt 0.075207 0.012177 +vt 0.074695 0.012286 +vt 0.077886 0.011386 +vt 0.078148 0.012011 +vt 0.135077 0.115325 +vt 0.139227 0.121183 +vt 0.143261 0.019504 +vt 0.140427 0.017453 +vt 0.149134 0.020479 +vt 0.147476 0.020772 +vt 0.078453 0.016181 +vt 0.078440 0.015511 +vt 0.079344 0.015205 +vt 0.079273 0.016184 +vt 0.078273 0.014717 +vt 0.078173 0.014391 +vt 0.078696 0.013643 +vt 0.078924 0.013914 +vt 0.078494 0.017388 +vt 0.079761 0.017446 +vt 0.077996 0.014127 +vt 0.078215 0.013519 +vt 0.077470 0.010597 +vt 0.077718 0.009709 +vt 0.145892 0.013795 +vt 0.145460 0.017574 +vt 0.151456 0.015417 +vt 0.151167 0.017918 +vt 0.074242 0.012373 +vt 0.075777 0.011170 +vt 0.077529 0.011044 +vt 0.145094 0.020221 +vt 0.151152 0.019890 +vt 0.875802 0.466401 +vt 0.876470 0.464826 +vt 0.863452 0.449025 +vt 0.865685 0.454015 +vt 0.861368 0.460012 +vt 0.859322 0.457141 +vt 0.853287 0.466101 +vt 0.855985 0.467842 +vt 0.853556 0.471501 +vt 0.850422 0.469836 +vt 0.859422 0.479931 +vt 0.855095 0.479606 +vt 0.855896 0.476309 +vt 0.859928 0.477026 +vt 0.856097 0.462333 +vt 0.858543 0.464143 +vt 0.859312 0.483168 +vt 0.854902 0.483168 +vt 0.878865 0.466770 +vt 0.857189 0.456158 +vt 0.854264 0.461157 +vt 0.852491 0.460427 +vt 0.855052 0.455498 +vt 0.796854 0.483168 +vt 0.797160 0.476446 +vt 0.797947 0.467579 +vt 0.799151 0.457995 +vt 0.801228 0.447940 +vt 0.885039 0.471880 +vt 0.881579 0.464622 +vt 0.884610 0.467646 +vt 0.872886 0.480031 +vt 0.895350 0.461045 +vt 0.842513 0.458012 +vt 0.843047 0.458849 +vt 0.843403 0.459692 +vt 0.844078 0.460607 +vt 0.845928 0.463664 +vt 0.844823 0.461848 +vt 0.804236 0.437138 +vt 0.875860 0.462405 +vt 0.859422 0.449241 +vt 0.047507 0.583935 +vt 0.046887 0.584781 +vt 0.046059 0.585810 +vt 0.808255 0.426458 +vt 0.936024 0.477448 +vt 0.936948 0.483168 +vt 0.856516 0.449268 +vt 0.873364 0.472948 +vt 0.843338 0.398599 +vt 0.842668 0.403997 +vt 0.933955 0.471023 +vt 0.881201 0.460384 +vt 0.931065 0.464406 +vt 0.927437 0.458494 +vt 0.923506 0.453565 +vt 0.866486 0.464615 +vt 0.870087 0.461795 +vt 0.919699 0.450173 +vt 0.914956 0.449384 +vt 0.910044 0.449591 +vt 0.904903 0.451512 +vt 0.899718 0.454659 +vt 0.893622 0.458489 +vt 0.886030 0.452115 +vt 0.891691 0.448861 +vt 0.892473 0.454573 +vt 0.886858 0.457638 +vt 0.813707 0.416308 +vt 0.819898 0.407027 +vt 0.827442 0.399968 +vt 0.835623 0.394893 +vt 0.875959 0.400460 +vt 0.880910 0.393186 +vt 0.889705 0.399445 +vt 0.883162 0.406946 +vt 0.843863 0.392668 +vt 0.852046 0.391936 +vt 0.850566 0.398035 +vt 0.860138 0.392913 +vt 0.857669 0.399127 +vt 0.868155 0.395719 +vt 0.864604 0.401993 +vt 0.871306 0.406639 +vt 0.877567 0.412974 +vt 0.927041 0.420165 +vt 0.945925 0.476275 +vt 0.946385 0.483168 +vt 0.941769 0.483168 +vt 0.941040 0.476833 +vt 0.904178 0.442385 +vt 0.911632 0.440098 +vt 0.910794 0.445011 +vt 0.904544 0.447256 +vt 0.857363 0.472874 +vt 0.944575 0.469751 +vt 0.949003 0.468849 +vt 0.950341 0.475783 +vt 0.919250 0.439616 +vt 0.916973 0.444823 +vt 0.932280 0.446703 +vt 0.936249 0.443153 +vt 0.941935 0.451308 +vt 0.937959 0.453637 +vt 0.941956 0.462040 +vt 0.946552 0.460424 +vt 0.926167 0.441864 +vt 0.921518 0.434025 +vt 0.929501 0.437147 +vt 0.953169 0.475997 +vt 0.953587 0.483168 +vt 0.950742 0.483168 +vt 0.951842 0.468366 +vt 0.949648 0.459634 +vt 0.872645 0.418026 +vt 0.867242 0.411944 +vt 0.871735 0.388789 +vt 0.861404 0.407525 +vt 0.855214 0.404594 +vt 0.859131 0.469365 +vt 0.861330 0.465905 +vt 0.848964 0.403690 +vt 0.853492 0.385463 +vt 0.844232 0.386719 +vt 0.844381 0.381077 +vt 0.854679 0.379266 +vt 0.834962 0.389353 +vt 0.834063 0.384244 +vt 0.841943 0.408688 +vt 0.847320 0.408349 +vt 0.852779 0.409322 +vt 0.858320 0.412013 +vt 0.863662 0.416474 +vt 0.868321 0.422330 +vt 0.862609 0.386099 +vt 0.864810 0.379150 +vt 0.792409 0.476136 +vt 0.791964 0.483168 +vt 0.792573 0.466958 +vt 0.796204 0.446330 +vt 0.793892 0.457179 +vt 0.799555 0.434809 +vt 0.825529 0.395072 +vt 0.823579 0.390180 +vt 0.816999 0.402427 +vt 0.875404 0.381042 +vt 0.886377 0.384728 +vt 0.897276 0.390877 +vt 0.896957 0.408503 +vt 0.888972 0.414933 +vt 0.904154 0.436057 +vt 0.912647 0.433911 +vt 0.939443 0.470588 +vt 0.927956 0.449674 +vt 0.932615 0.456091 +vt 0.936606 0.463447 +vt 0.922809 0.446228 +vt 0.945319 0.449655 +vt 0.864189 0.462394 +vt 0.868134 0.458313 +vt 0.871618 0.447744 +vt 0.877208 0.443570 +vt 0.898764 0.450742 +vt 0.897805 0.445526 +vt 0.939834 0.439580 +vt 0.932673 0.432304 +vt 0.923962 0.427627 +vt 0.957045 0.483168 +vt 0.914123 0.425039 +vt 0.914977 0.413193 +vt 0.906511 0.400875 +vt 0.882506 0.420509 +vt 0.863889 0.467533 +vt 0.862111 0.470807 +vt 0.860863 0.474019 +vt 0.887852 0.461468 +vt 0.844575 0.158136 +vt 0.854190 0.157089 +vt 0.855272 0.167567 +vt 0.866805 0.183366 +vt 0.857598 0.184780 +vt 0.861917 0.203018 +vt 0.853433 0.222553 +vt 0.866506 0.220602 +vt 0.858616 0.240124 +vt 0.871531 0.238103 +vt 0.863196 0.258801 +vt 0.876642 0.258323 +vt 0.867023 0.277480 +vt 0.879400 0.278501 +vt 0.877222 0.293593 +vt 0.881306 0.308235 +vt 0.873753 0.304276 +vt 0.897025 0.439063 +vt 0.890555 0.442408 +vt 0.888838 0.435796 +vt 0.895719 0.431734 +vt 0.884579 0.445982 +vt 0.904051 0.427880 +vt 0.893349 0.423666 +vt 0.886313 0.428306 +vt 0.875021 0.436885 +vt 0.869593 0.441848 +vt 0.867574 0.433947 +vt 0.872306 0.429740 +vt 0.902277 0.418353 +vt 0.863171 0.438784 +vt 0.859740 0.440940 +vt 0.856482 0.442222 +vt 0.853338 0.443457 +vt 0.850718 0.444422 +vt 0.848567 0.445239 +vt 0.846817 0.445951 +vt 0.845532 0.446670 +vt 0.844427 0.446962 +vt 0.039725 0.584327 +vt 0.039226 0.583237 +vt 0.038724 0.582120 +vt 0.038136 0.580766 +vt 0.037269 0.578644 +vt 0.035803 0.574718 +vt 0.033593 0.567773 +vt 0.024039 0.552881 +vt 0.841483 0.447399 +vt 0.839549 0.446954 +vt 0.842673 0.447334 +vt 0.843736 0.447129 +vt 0.877250 0.425069 +vt 0.882873 0.439685 +vt 0.880480 0.432717 +vt 0.889787 0.463953 +vt 0.894025 0.464953 +vt 0.896653 0.465803 +vt 0.892205 0.475026 +vt 0.890552 0.468305 +vt 0.903809 0.473037 +vt 0.905887 0.473425 +vt 0.889466 0.471890 +vt 0.907036 0.473694 +vt 0.794522 0.026005 +vt 0.790174 0.028986 +vt 0.785405 0.032460 +vt 0.781478 0.036106 +vt 0.777821 0.041555 +vt 0.774500 0.051659 +vt 0.773179 0.064949 +vt 0.776082 0.081441 +vt 0.779973 0.096464 +vt 0.824850 0.135553 +vt 0.826921 0.135995 +vt 0.834947 0.136440 +vt 0.840687 0.136067 +vt 0.818358 0.323066 +vt 0.798798 0.377560 +vt 0.803302 0.382919 +vt 0.794365 0.371702 +vt 0.790609 0.364386 +vt 0.787680 0.355591 +vt 0.800774 0.352678 +vt 0.803047 0.359578 +vt 0.811506 0.371194 +vt 0.816507 0.375924 +vt 0.806988 0.366212 +vt 0.811905 0.350676 +vt 0.814017 0.356094 +vt 0.823285 0.365376 +vt 0.831290 0.368733 +vt 0.817953 0.361427 +vt 0.874716 0.315944 +vt 0.868749 0.312154 +vt 0.861808 0.309779 +vt 0.854837 0.308595 +vt 0.882174 0.328957 +vt 0.878783 0.320618 +vt 0.799891 0.344931 +vt 0.811337 0.344572 +vt 0.786843 0.345557 +vt 0.845142 0.366198 +vt 0.820867 0.335208 +vt 0.824318 0.331160 +vt 0.838979 0.318347 +vt 0.847230 0.316259 +vt 0.865509 0.355617 +vt 0.856628 0.359520 +vt 0.833813 0.329306 +vt 0.836602 0.332586 +vt 0.835219 0.333483 +vt 0.832402 0.331503 +vt 0.875763 0.339969 +vt 0.873873 0.349115 +vt 0.868836 0.322244 +vt 0.872825 0.326250 +vt 0.842050 0.359648 +vt 0.844394 0.357062 +vt 0.850226 0.356327 +vt 0.849233 0.358682 +vt 0.864651 0.326100 +vt 0.861138 0.331378 +vt 0.856376 0.329862 +vt 0.859800 0.324172 +vt 0.826555 0.358116 +vt 0.822989 0.353764 +vt 0.847581 0.361907 +vt 0.825517 0.344374 +vt 0.829325 0.342728 +vt 0.828131 0.347153 +vt 0.826546 0.348922 +vt 0.872501 0.339761 +vt 0.870039 0.340046 +vt 0.868224 0.336477 +vt 0.871208 0.335315 +vt 0.831227 0.352127 +vt 0.828357 0.352521 +vt 0.853212 0.316338 +vt 0.865853 0.333730 +vt 0.869181 0.331815 +vt 0.836332 0.358579 +vt 0.839371 0.356470 +vt 0.836264 0.327061 +vt 0.838275 0.331729 +vt 0.826673 0.327563 +vt 0.864019 0.353433 +vt 0.862501 0.352047 +vt 0.868406 0.346536 +vt 0.870505 0.347556 +vt 0.855050 0.322617 +vt 0.852715 0.329076 +vt 0.849207 0.328653 +vt 0.851626 0.322603 +vt 0.837461 0.352161 +vt 0.835140 0.354732 +vt 0.834484 0.349793 +vt 0.866490 0.341673 +vt 0.864984 0.346211 +vt 0.855426 0.352096 +vt 0.856350 0.354703 +vt 0.850635 0.353544 +vt 0.859669 0.333229 +vt 0.854023 0.331479 +vt 0.831213 0.346047 +vt 0.859866 0.350283 +vt 0.838906 0.332756 +vt 0.837439 0.333436 +vt 0.865293 0.338201 +vt 0.841345 0.353775 +vt 0.845777 0.354126 +vt 0.834633 0.335321 +vt 0.833894 0.334475 +vt 0.836252 0.334178 +vt 0.841256 0.331598 +vt 0.841058 0.330488 +vt 0.844750 0.329398 +vt 0.844349 0.330859 +vt 0.847738 0.330551 +vt 0.863009 0.335199 +vt 0.831336 0.342823 +vt 0.850766 0.330945 +vt 0.832748 0.338276 +vt 0.831130 0.338187 +vt 0.832535 0.343257 +vt 0.833598 0.346255 +vt 0.850413 0.332202 +vt 0.847203 0.331725 +vt 0.833469 0.338669 +vt 0.835111 0.335881 +vt 0.846726 0.352144 +vt 0.851026 0.351543 +vt 0.858117 0.334262 +vt 0.861380 0.336215 +vt 0.839084 0.350883 +vt 0.836245 0.349049 +vt 0.863758 0.342161 +vt 0.862193 0.345918 +vt 0.855231 0.350358 +vt 0.853121 0.332701 +vt 0.857973 0.349285 +vt 0.839695 0.333324 +vt 0.838035 0.334042 +vt 0.863241 0.338911 +vt 0.842713 0.352009 +vt 0.836640 0.334619 +vt 0.841679 0.332624 +vt 0.844737 0.331750 +vt 0.843694 0.350867 +vt 0.844415 0.350069 +vt 0.847792 0.350094 +vt 0.847372 0.350855 +vt 0.860937 0.339532 +vt 0.859831 0.339889 +vt 0.858294 0.337755 +vt 0.859327 0.337243 +vt 0.838515 0.334573 +vt 0.839111 0.335440 +vt 0.837162 0.335696 +vt 0.836970 0.335277 +vt 0.856655 0.347713 +vt 0.855526 0.346879 +vt 0.856676 0.345642 +vt 0.858572 0.345605 +vt 0.834728 0.343848 +vt 0.835412 0.343672 +vt 0.836305 0.345354 +vt 0.835509 0.345501 +vt 0.849935 0.333730 +vt 0.849885 0.334249 +vt 0.847743 0.333903 +vt 0.847666 0.333398 +vt 0.851287 0.349474 +vt 0.851219 0.350256 +vt 0.856750 0.335491 +vt 0.856297 0.335995 +vt 0.851956 0.334756 +vt 0.852130 0.334232 +vt 0.838887 0.347885 +vt 0.837842 0.348559 +vt 0.840373 0.334459 +vt 0.840740 0.334795 +vt 0.861679 0.342479 +vt 0.859958 0.342435 +vt 0.853353 0.347356 +vt 0.853873 0.348369 +vt 0.851238 0.348728 +vt 0.854523 0.346206 +vt 0.836729 0.338236 +vt 0.836314 0.337846 +vt 0.837756 0.336851 +vt 0.843623 0.334651 +vt 0.843201 0.334276 +vt 0.846131 0.333907 +vt 0.846171 0.334363 +vt 0.847556 0.334428 +vt 0.836341 0.340007 +vt 0.835579 0.339790 +vt 0.855636 0.336328 +vt 0.857480 0.338013 +vt 0.842264 0.348508 +vt 0.841412 0.349251 +vt 0.839678 0.347433 +vt 0.858092 0.342301 +vt 0.855586 0.345440 +vt 0.852789 0.343225 +vt 0.851604 0.342780 +vt 0.851611 0.341820 +vt 0.852769 0.342280 +vt 0.846999 0.347072 +vt 0.847538 0.346037 +vt 0.849082 0.346182 +vt 0.848869 0.347141 +vt 0.842367 0.341097 +vt 0.840767 0.340234 +vt 0.841103 0.339311 +vt 0.842424 0.340245 +vt 0.852672 0.344171 +vt 0.851530 0.343625 +vt 0.847815 0.338816 +vt 0.848312 0.337711 +vt 0.849996 0.338464 +vt 0.849212 0.339218 +vt 0.842470 0.337896 +vt 0.843079 0.338981 +vt 0.842664 0.339532 +vt 0.841592 0.338561 +vt 0.845505 0.338690 +vt 0.845372 0.337306 +vt 0.846754 0.337424 +vt 0.846568 0.338847 +vt 0.851450 0.340913 +vt 0.852495 0.340829 +vt 0.851524 0.344329 +vt 0.852335 0.344967 +vt 0.851910 0.345616 +vt 0.851427 0.344783 +vt 0.844489 0.338544 +vt 0.844192 0.337397 +vt 0.840589 0.342833 +vt 0.842795 0.343534 +vt 0.843748 0.344218 +vt 0.841325 0.344526 +vt 0.845375 0.336236 +vt 0.846928 0.336321 +vt 0.843884 0.336441 +vt 0.839343 0.339562 +vt 0.839804 0.338544 +vt 0.846280 0.347963 +vt 0.848594 0.348030 +vt 0.844118 0.347189 +vt 0.845264 0.346357 +vt 0.853871 0.343327 +vt 0.854174 0.341738 +vt 0.841884 0.336978 +vt 0.840560 0.337681 +vt 0.853061 0.345558 +vt 0.852465 0.346305 +vt 0.839528 0.345418 +vt 0.843590 0.345637 +vt 0.841530 0.346467 +vt 0.852955 0.337897 +vt 0.851640 0.339182 +vt 0.850879 0.337207 +vt 0.851002 0.347271 +vt 0.850871 0.346390 +vt 0.853423 0.344546 +vt 0.854086 0.338828 +vt 0.840631 0.341283 +vt 0.838945 0.341356 +vt 0.848779 0.336678 +vt 0.838899 0.343841 +vt 0.840382 0.350122 +vt 0.854420 0.349551 +vt 0.831907 0.356261 +vt 0.854917 0.336925 +vt 0.851546 0.336295 +vt 0.851503 0.335211 +vt 0.837038 0.345230 +vt 0.837723 0.345148 +vt 0.840495 0.347007 +vt 0.840988 0.335287 +vt 0.841233 0.335817 +vt 0.839682 0.336676 +vt 0.839221 0.335914 +vt 0.856042 0.342968 +vt 0.856915 0.340564 +vt 0.858554 0.340245 +vt 0.845024 0.349388 +vt 0.845610 0.348724 +vt 0.848375 0.348818 +vt 0.848118 0.349453 +vt 0.856289 0.338377 +vt 0.838320 0.337696 +vt 0.853799 0.345951 +vt 0.854675 0.345057 +vt 0.836190 0.343686 +vt 0.836963 0.343583 +vt 0.849801 0.334784 +vt 0.849204 0.335748 +vt 0.847081 0.334999 +vt 0.851180 0.348056 +vt 0.843082 0.347869 +vt 0.846018 0.333600 +vt 0.845136 0.344703 +vt 0.850872 0.345486 +vt 0.842348 0.341949 +vt 0.843023 0.333817 +vt 0.835701 0.336494 +vt 0.834880 0.339759 +vt 0.850556 0.339920 +vt 0.846200 0.345418 +vt 0.845841 0.344054 +vt 0.847313 0.344589 +vt 0.847895 0.345069 +vt 0.849125 0.345109 +vt 0.850237 0.344559 +vt 0.850281 0.344119 +vt 0.850165 0.343533 +vt 0.850134 0.342840 +vt 0.850110 0.342059 +vt 0.850234 0.341301 +vt 0.850393 0.340745 +vt 0.849640 0.340272 +vt 0.848490 0.339951 +vt 0.847275 0.339944 +vt 0.846271 0.340054 +vt 0.845508 0.339992 +vt 0.844756 0.339807 +vt 0.844037 0.340101 +vt 0.843819 0.340639 +vt 0.843672 0.341250 +vt 0.843567 0.341897 +vt 0.843532 0.342538 +vt 0.844018 0.343387 +vt 0.844790 0.343718 +vt 0.847013 0.340705 +vt 0.846334 0.340871 +vt 0.845266 0.343158 +vt 0.846144 0.343418 +vt 0.837173 0.340262 +vt 0.848184 0.340761 +vt 0.849217 0.340883 +vt 0.847483 0.343930 +vt 0.846269 0.342748 +vt 0.847497 0.342981 +vt 0.845377 0.342014 +vt 0.846340 0.342150 +vt 0.845394 0.342581 +vt 0.848266 0.344088 +vt 0.848355 0.343046 +vt 0.849213 0.343825 +vt 0.849165 0.343118 +vt 0.849126 0.342373 +vt 0.847379 0.342272 +vt 0.848341 0.342226 +vt 0.847062 0.341404 +vt 0.848228 0.341515 +vt 0.846331 0.341469 +vt 0.845373 0.341447 +vt 0.845410 0.340826 +vt 0.849108 0.341612 +vt 0.852950 0.346673 +vt 0.837825 0.338838 +vt 0.843784 0.335254 +vt 0.845488 0.335022 +vt 0.826530 0.337589 +vt 0.829995 0.333662 +vt 0.839969 0.324113 +vt 0.846453 0.323147 +vt 0.856637 0.356644 +vt 0.829918 0.324616 +vt 0.838308 0.362945 +vt 0.863805 0.319474 +vt 0.820363 0.343515 +vt 0.821140 0.349635 +vt 0.876342 0.333087 +vt 0.831385 0.361134 +vt 0.833352 0.321575 +vt 0.858198 0.317570 +vt 0.102831 0.032500 +vt 0.100904 0.037615 +vt 0.097263 0.034744 +vt 0.094813 0.030249 +vt 0.121071 0.042841 +vt 0.121232 0.045472 +vt 0.116171 0.045920 +vt 0.116466 0.042212 +vt 0.093098 0.034215 +vt 0.095515 0.038535 +vt 0.124382 0.042082 +vt 0.124480 0.045306 +vt 0.130777 0.032890 +vt 0.132604 0.035885 +vt 0.131302 0.039621 +vt 0.128852 0.036333 +vt 0.131973 0.029358 +vt 0.132930 0.029821 +vt 0.111155 0.042192 +vt 0.110899 0.045955 +vt 0.105560 0.044278 +vt 0.106615 0.040523 +vt 0.121049 0.049881 +vt 0.124468 0.049010 +vt 0.135169 0.037026 +vt 0.135334 0.041588 +vt 0.134371 0.030144 +vt 0.110326 0.049949 +vt 0.104942 0.049245 +vt 0.115912 0.050408 +vt 0.088900 0.036249 +vt 0.091080 0.045660 +vt 0.148932 0.024093 +vt 0.148900 0.025118 +vt 0.146523 0.025952 +vt 0.146469 0.025205 +vt 0.080510 0.020549 +vt 0.080928 0.021860 +vt 0.079085 0.021685 +vt 0.078604 0.020410 +vt 0.142068 0.023052 +vt 0.141727 0.024543 +vt 0.138858 0.022519 +vt 0.139476 0.021116 +vt 0.135606 0.137064 +vt 0.139785 0.134188 +vt 0.145952 0.138244 +vt 0.141240 0.141967 +vt 0.143340 0.131603 +vt 0.147196 0.133247 +vt 0.081264 0.025954 +vt 0.079280 0.026570 +vt 0.079097 0.023957 +vt 0.081274 0.023540 +vt 0.141089 0.026618 +vt 0.137270 0.023916 +vt 0.138021 0.023202 +vt 0.141317 0.025691 +vt 0.143851 0.027082 +vt 0.143593 0.027836 +vt 0.148772 0.027644 +vt 0.146251 0.028162 +vt 0.146402 0.027173 +vt 0.148920 0.026319 +vt 0.151564 0.025302 +vt 0.151535 0.026525 +vt 0.072580 0.023222 +vt 0.075124 0.023989 +vt 0.075055 0.026386 +vt 0.072251 0.025822 +vt 0.151402 0.024178 +vt 0.144097 0.025847 +vt 0.144591 0.129245 +vt 0.147542 0.130503 +vt 0.145375 0.127186 +vt 0.147984 0.128332 +vt 0.072642 0.021729 +vt 0.075225 0.021810 +vt 0.150401 0.128764 +vt 0.150567 0.131019 +vt 0.151176 0.133941 +vt 0.151247 0.023234 +vt 0.072821 0.020820 +vt 0.075699 0.020458 +vt 0.144243 0.025003 +vt 0.111604 0.114460 +vt 0.107631 0.116922 +vt 0.101922 0.107809 +vt 0.106134 0.105757 +vt 0.071191 0.030753 +vt 0.071393 0.029204 +vt 0.074722 0.031129 +vt 0.074148 0.034214 +vt 0.139694 0.032811 +vt 0.140243 0.031304 +vt 0.142669 0.032198 +vt 0.142217 0.034874 +vt 0.148775 0.031123 +vt 0.148592 0.033031 +vt 0.146304 0.035084 +vt 0.146004 0.032760 +vt 0.151598 0.028674 +vt 0.151750 0.029505 +vt 0.081732 0.030729 +vt 0.082761 0.033113 +vt 0.080556 0.034938 +vt 0.080062 0.031696 +vt 0.130703 0.140067 +vt 0.136644 0.145196 +vt 0.135922 0.026358 +vt 0.136236 0.025463 +vt 0.069764 0.036521 +vt 0.072392 0.043146 +vt 0.137051 0.036489 +vt 0.139613 0.040001 +vt 0.152541 0.138727 +vt 0.129638 0.125388 +vt 0.123278 0.119049 +vt 0.151370 0.034053 +vt 0.148772 0.039108 +vt 0.152993 0.029767 +vt 0.086507 0.035484 +vt 0.083152 0.042395 +vt 0.134965 0.028214 +vt 0.050774 0.025055 +vt 0.050872 0.024181 +vt 0.053402 0.024261 +vt 0.053511 0.024742 +vt 0.054223 0.020033 +vt 0.054775 0.018651 +vt 0.055318 0.019518 +vt 0.054497 0.020370 +vt 0.051821 0.023197 +vt 0.052029 0.022758 +vt 0.053127 0.022892 +vt 0.053301 0.023501 +vt 0.162628 0.020562 +vt 0.161661 0.022847 +vt 0.160562 0.022198 +vt 0.162024 0.020099 +vt 0.050836 0.025931 +vt 0.053537 0.025652 +vt 0.167354 0.022029 +vt 0.166580 0.024647 +vt 0.165111 0.024361 +vt 0.166167 0.021460 +vt 0.052095 0.020945 +vt 0.050898 0.020333 +vt 0.051537 0.019387 +vt 0.052460 0.020307 +vt 0.052321 0.022666 +vt 0.053072 0.022713 +vt 0.052515 0.021112 +vt 0.052492 0.021417 +vt 0.052050 0.021423 +vt 0.053967 0.020455 +vt 0.054144 0.020640 +vt 0.161137 0.024443 +vt 0.159932 0.023410 +vt 0.166245 0.026678 +vt 0.164559 0.026383 +vt 0.055749 0.023853 +vt 0.055548 0.023403 +vt 0.056568 0.021779 +vt 0.057723 0.022083 +vt 0.055142 0.022600 +vt 0.054691 0.022343 +vt 0.055345 0.021690 +vt 0.056002 0.021663 +vt 0.056082 0.024644 +vt 0.058245 0.022656 +vt 0.054467 0.022215 +vt 0.054901 0.021680 +vt 0.053478 0.019806 +vt 0.053412 0.018491 +vt 0.163938 0.020790 +vt 0.163030 0.023498 +vt 0.168106 0.022440 +vt 0.167811 0.024747 +vt 0.050928 0.021619 +vt 0.052607 0.020640 +vt 0.053555 0.020254 +vt 0.162543 0.025395 +vt 0.167783 0.026494 +vt 0.165733 0.029303 +vt 0.165521 0.030330 +vt 0.163358 0.030181 +vt 0.163398 0.029474 +vt 0.059359 0.024865 +vt 0.059654 0.025865 +vt 0.057453 0.027267 +vt 0.056752 0.026341 +vt 0.159656 0.027481 +vt 0.159172 0.028189 +vt 0.157616 0.026695 +vt 0.158335 0.025767 +vt 0.061438 0.028458 +vt 0.058978 0.030758 +vt 0.058343 0.028920 +vt 0.060317 0.027075 +vt 0.158495 0.029333 +vt 0.156722 0.028489 +vt 0.157148 0.027570 +vt 0.158737 0.028790 +vt 0.160809 0.029945 +vt 0.160550 0.030499 +vt 0.165059 0.032188 +vt 0.162899 0.031632 +vt 0.163144 0.030948 +vt 0.165343 0.031218 +vt 0.168147 0.031476 +vt 0.168002 0.032539 +vt 0.052620 0.030389 +vt 0.054486 0.030481 +vt 0.055542 0.031944 +vt 0.052998 0.032157 +vt 0.168064 0.030319 +vt 0.161101 0.029279 +vt 0.052191 0.029138 +vt 0.054135 0.028593 +vt 0.167949 0.029384 +vt 0.051824 0.028354 +vt 0.054031 0.027370 +vt 0.161419 0.028681 +vt 0.053790 0.038591 +vt 0.053869 0.036990 +vt 0.056703 0.037495 +vt 0.057283 0.039890 +vt 0.157307 0.032732 +vt 0.157679 0.031615 +vt 0.159230 0.034810 +vt 0.158190 0.037070 +vt 0.163962 0.035832 +vt 0.164681 0.038180 +vt 0.161173 0.039084 +vt 0.161645 0.035530 +vt 0.167350 0.035472 +vt 0.167446 0.036259 +vt 0.063733 0.031418 +vt 0.064374 0.032731 +vt 0.062889 0.038039 +vt 0.061841 0.035404 +vt 0.155292 0.030399 +vt 0.155940 0.029955 +vt 0.053636 0.043993 +vt 0.058450 0.046550 +vt 0.154362 0.034370 +vt 0.155431 0.040792 +vt 0.165542 0.041025 +vt 0.160988 0.045529 +vt 0.168468 0.037217 +vt 0.066606 0.036934 +vt 0.065772 0.044596 +vt 0.154034 0.030042 +vt 0.034459 0.041815 +vt 0.034321 0.041005 +vt 0.035788 0.040257 +vt 0.036056 0.040697 +vt 0.035355 0.035981 +vt 0.035290 0.035120 +vt 0.036219 0.035456 +vt 0.035926 0.036237 +vt 0.034671 0.039734 +vt 0.034653 0.039376 +vt 0.035233 0.039216 +vt 0.035527 0.039505 +vt 0.178370 0.035303 +vt 0.176262 0.036582 +vt 0.176013 0.034980 +vt 0.177249 0.034490 +vt 0.034824 0.042546 +vt 0.036413 0.041207 +vt 0.181831 0.038059 +vt 0.180360 0.039962 +vt 0.178898 0.039396 +vt 0.180575 0.037448 +vt 0.033457 0.038292 +vt 0.032948 0.038448 +vt 0.032455 0.037388 +vt 0.033398 0.037509 +vt 0.034560 0.038882 +vt 0.035197 0.038919 +vt 0.033869 0.038252 +vt 0.034225 0.038660 +vt 0.033973 0.038897 +vt 0.035421 0.036300 +vt 0.035808 0.036500 +vt 0.175260 0.038035 +vt 0.174972 0.035611 +vt 0.179625 0.041351 +vt 0.177951 0.041181 +vt 0.038180 0.038306 +vt 0.037771 0.038124 +vt 0.038241 0.036349 +vt 0.038762 0.036737 +vt 0.037092 0.037834 +vt 0.036761 0.037626 +vt 0.036865 0.036919 +vt 0.037278 0.036660 +vt 0.038716 0.038665 +vt 0.039279 0.037091 +vt 0.036490 0.037474 +vt 0.036425 0.036945 +vt 0.034727 0.036007 +vt 0.034418 0.035251 +vt 0.179094 0.036110 +vt 0.177042 0.037997 +vt 0.182750 0.038734 +vt 0.181828 0.040286 +vt 0.033642 0.039223 +vt 0.033958 0.037577 +vt 0.034827 0.036512 +vt 0.175819 0.039348 +vt 0.181234 0.041427 +vt 0.179163 0.042774 +vt 0.178751 0.044724 +vt 0.176291 0.044132 +vt 0.177292 0.042204 +vt 0.041217 0.038618 +vt 0.043053 0.039704 +vt 0.041754 0.041446 +vt 0.040522 0.040621 +vt 0.173928 0.039498 +vt 0.172185 0.039946 +vt 0.171509 0.037461 +vt 0.173117 0.036905 +vt 0.045092 0.041316 +vt 0.044133 0.043911 +vt 0.042841 0.042693 +vt 0.044429 0.040157 +vt 0.171303 0.041021 +vt 0.170400 0.038140 +vt 0.170958 0.037819 +vt 0.171640 0.040104 +vt 0.173096 0.042263 +vt 0.172729 0.042766 +vt 0.178398 0.046363 +vt 0.175523 0.045005 +vt 0.176122 0.044648 +vt 0.178607 0.045873 +vt 0.180373 0.046017 +vt 0.180087 0.046901 +vt 0.038201 0.046452 +vt 0.039790 0.045318 +vt 0.040960 0.046787 +vt 0.039127 0.047699 +vt 0.180401 0.044851 +vt 0.173416 0.041644 +vt 0.037292 0.045218 +vt 0.038865 0.044360 +vt 0.180835 0.043049 +vt 0.036359 0.043625 +vt 0.038026 0.043002 +vt 0.174863 0.040352 +vt 0.039672 0.053203 +vt 0.039646 0.051431 +vt 0.042491 0.050926 +vt 0.042892 0.053402 +vt 0.168942 0.043519 +vt 0.169637 0.042938 +vt 0.170676 0.044929 +vt 0.168952 0.046826 +vt 0.176465 0.048691 +vt 0.174958 0.050558 +vt 0.172643 0.049959 +vt 0.173770 0.047963 +vt 0.179488 0.048973 +vt 0.179102 0.049868 +vt 0.047824 0.043193 +vt 0.049057 0.043666 +vt 0.048971 0.049976 +vt 0.047244 0.047551 +vt 0.169011 0.039291 +vt 0.169434 0.038786 +vt 0.042013 0.057277 +vt 0.046688 0.057969 +vt 0.166681 0.042018 +vt 0.165107 0.048512 +vt 0.173599 0.054050 +vt 0.170724 0.055228 +vt 0.179087 0.051058 +vt 0.050760 0.046657 +vt 0.052076 0.053596 +vt 0.168677 0.038010 +vt 0.035547 0.065202 +vt 0.036883 0.067199 +vt 0.034650 0.069251 +vt 0.033548 0.067290 +vt 0.038674 0.070787 +vt 0.035592 0.072449 +vt 0.076783 0.014290 +vt 0.076804 0.014681 +vt 0.041547 0.068535 +vt 0.044068 0.074001 +vt 0.040559 0.075361 +vt 0.176006 0.059681 +vt 0.177996 0.059671 +vt 0.179919 0.062617 +vt 0.177763 0.063082 +vt 0.179511 0.052133 +vt 0.180336 0.052553 +vt 0.178195 0.056606 +vt 0.176489 0.056489 +vt 0.181239 0.064273 +vt 0.179574 0.065261 +vt 0.031556 0.070844 +vt 0.031219 0.068806 +vt 0.034901 0.053604 +vt 0.035830 0.053522 +vt 0.037229 0.056862 +vt 0.036007 0.056860 +vt 0.179333 0.051460 +vt 0.174834 0.056238 +vt 0.177962 0.067589 +vt 0.175181 0.064718 +vt 0.032416 0.073767 +vt 0.036388 0.053795 +vt 0.040845 0.059205 +vt 0.146465 0.017782 +vt 0.146973 0.013878 +vt 0.077231 0.020626 +vt 0.077077 0.017398 +vt 0.041505 0.044161 +vt 0.040432 0.042878 +vt 0.076732 0.013609 +vt 0.076675 0.012241 +vt 0.077221 0.021822 +vt 0.057524 0.031495 +vt 0.056849 0.029855 +vt 0.054048 0.022649 +vt 0.054223 0.023042 +vt 0.077544 0.032030 +vt 0.077725 0.036053 +vt 0.076933 0.016302 +vt 0.078404 0.046171 +vt 0.036639 0.053359 +vt 0.076513 0.009607 +vt 0.076573 0.010560 +vt 0.162197 0.029786 +vt 0.162382 0.029130 +vt 0.077275 0.026757 +vt 0.076930 0.015642 +vt 0.135321 0.130603 +vt 0.138719 0.128652 +vt 0.054783 0.024297 +vt 0.054960 0.025200 +vt 0.155302 0.133299 +vt 0.158328 0.137154 +vt 0.070994 0.106235 +vt 0.074075 0.117315 +vt 0.070290 0.120845 +vt 0.067565 0.108816 +vt 0.064539 0.144458 +vt 0.062790 0.150026 +vt 0.057358 0.148112 +vt 0.059167 0.141948 +vt 0.063466 0.111499 +vt 0.082614 0.100993 +vt 0.086025 0.112642 +vt 0.082756 0.112678 +vt 0.079158 0.101307 +vt 0.159404 0.131312 +vt 0.162943 0.134204 +vt 0.076338 0.102547 +vt 0.079822 0.113568 +vt 0.077145 0.114845 +vt 0.073620 0.104127 +vt 0.085364 0.120259 +vt 0.082533 0.121013 +vt 0.080057 0.122192 +vt 0.192615 0.138380 +vt 0.194840 0.138598 +vt 0.046001 0.147423 +vt 0.052006 0.146863 +vt 0.050350 0.153149 +vt 0.044418 0.152840 +vt 0.181769 0.140612 +vt 0.098298 0.110558 +vt 0.093926 0.098972 +vt 0.097156 0.097425 +vt 0.185212 0.139912 +vt 0.120805 0.102227 +vt 0.118603 0.092157 +vt 0.124048 0.092323 +vt 0.126613 0.102098 +vt 0.116549 0.102551 +vt 0.112906 0.092902 +vt 0.054302 0.140630 +vt 0.046319 0.097038 +vt 0.040533 0.097273 +vt 0.035794 0.083336 +vt 0.039108 0.082332 +vt 0.051414 0.096832 +vt 0.044725 0.082130 +vt 0.175016 0.104232 +vt 0.174871 0.115008 +vt 0.170558 0.114853 +vt 0.171122 0.104190 +vt 0.128032 0.079566 +vt 0.129551 0.092729 +vt 0.123503 0.078293 +vt 0.133695 0.079531 +vt 0.134857 0.093115 +vt 0.138817 0.079591 +vt 0.139850 0.093842 +vt 0.143906 0.080333 +vt 0.144200 0.094880 +vt 0.147798 0.081840 +vt 0.148286 0.096739 +vt 0.151746 0.083381 +vt 0.151760 0.098363 +vt 0.163733 0.114090 +vt 0.164349 0.104157 +vt 0.167727 0.104141 +vt 0.167034 0.114527 +vt 0.160621 0.113454 +vt 0.160583 0.102210 +vt 0.048888 0.080862 +vt 0.054545 0.095594 +vt 0.052809 0.079155 +vt 0.059533 0.094533 +vt 0.056867 0.077653 +vt 0.062882 0.092885 +vt 0.154944 0.084959 +vt 0.154748 0.099799 +vt 0.157863 0.086304 +vt 0.157550 0.101051 +vt 0.144936 0.028024 +vt 0.145153 0.027170 +vt 0.144350 0.032531 +vt 0.144339 0.035201 +vt 0.125906 0.135435 +vt 0.130854 0.132869 +vt 0.066036 0.091155 +vt 0.059984 0.076343 +vt 0.160926 0.087378 +vt 0.164361 0.087996 +vt 0.167206 0.088456 +vt 0.157899 0.124907 +vt 0.160034 0.126136 +vt 0.156690 0.129312 +vt 0.155211 0.127724 +vt 0.169997 0.089004 +vt 0.173670 0.089886 +vt 0.063173 0.073990 +vt 0.069312 0.088857 +vt 0.072247 0.087477 +vt 0.066328 0.072228 +vt 0.070158 0.071826 +vt 0.074878 0.086761 +vt 0.078454 0.086239 +vt 0.073615 0.070906 +vt 0.078288 0.070325 +vt 0.082056 0.085958 +vt 0.086278 0.085620 +vt 0.082527 0.070163 +vt 0.086798 0.070145 +vt 0.090531 0.084117 +vt 0.153623 0.130758 +vt 0.152876 0.128674 +vt 0.048415 0.140452 +vt 0.038651 0.152990 +vt 0.032109 0.158462 +vt 0.033353 0.152827 +vt 0.141674 0.127076 +vt 0.094163 0.082686 +vt 0.092210 0.071152 +vt 0.097680 0.070475 +vt 0.099047 0.081130 +vt 0.142882 0.125219 +vt 0.104692 0.070185 +vt 0.105433 0.080588 +vt 0.203427 0.145122 +vt 0.200630 0.145281 +vt 0.197276 0.139197 +vt 0.200141 0.139683 +vt 0.125804 0.109888 +vt 0.121507 0.110796 +vt 0.101633 0.095789 +vt 0.107411 0.093955 +vt 0.110990 0.104097 +vt 0.208930 0.145258 +vt 0.050187 0.167964 +vt 0.049892 0.160448 +vt 0.054922 0.161509 +vt 0.055087 0.168628 +vt 0.116202 0.112383 +vt 0.040071 0.147634 +vt 0.034732 0.147612 +vt 0.093712 0.123747 +vt 0.090828 0.121976 +vt 0.098646 0.129526 +vt 0.101243 0.124156 +vt 0.120722 0.138145 +vt 0.125271 0.143101 +vt 0.120833 0.145775 +vt 0.116102 0.140805 +vt 0.129985 0.148707 +vt 0.126022 0.151367 +vt 0.149355 0.158124 +vt 0.154829 0.155544 +vt 0.138428 0.162237 +vt 0.143433 0.160978 +vt 0.133625 0.169646 +vt 0.135372 0.189593 +vt 0.130272 0.189388 +vt 0.128895 0.169911 +vt 0.171863 0.122428 +vt 0.168140 0.128990 +vt 0.163444 0.127445 +vt 0.167157 0.122189 +vt 0.163599 0.121576 +vt 0.160938 0.120655 +vt 0.159480 0.154216 +vt 0.061272 0.155915 +vt 0.060140 0.162364 +vt 0.055851 0.154220 +vt 0.149142 0.153424 +vt 0.153908 0.150872 +vt 0.138094 0.157607 +vt 0.143346 0.156077 +vt 0.158550 0.148674 +vt 0.206718 0.140803 +vt 0.122140 0.154077 +vt 0.116592 0.148650 +vt 0.188214 0.139047 +vt 0.190335 0.138633 +vt 0.111947 0.144018 +vt 0.045795 0.133037 +vt 0.043132 0.140232 +vt 0.059971 0.169286 +vt 0.073958 0.127834 +vt 0.088160 0.120542 +vt 0.077067 0.124760 +vt 0.048972 0.112674 +vt 0.044123 0.113115 +vt 0.076576 0.011517 +vt 0.130794 0.109264 +vt 0.052940 0.112124 +vt 0.104119 0.120022 +vt 0.109436 0.126314 +vt 0.105806 0.129731 +vt 0.102455 0.133911 +vt 0.373839 0.391101 +vt 0.380530 0.390674 +vt 0.371242 0.389994 +vt 0.211678 0.140449 +vt 0.213324 0.144551 +vt 0.048724 0.124985 +vt 0.110910 0.069303 +vt 0.111079 0.079585 +vt 0.158337 0.119440 +vt 0.156091 0.123634 +vt 0.037620 0.140613 +vt 0.154442 0.126453 +vt 0.058061 0.112050 +vt 0.044000 0.125195 +vt 0.040655 0.133199 +vt 0.118148 0.078858 +vt 0.117511 0.067986 +vt 0.216054 0.150581 +vt 0.038670 0.061131 +vt 0.036927 0.060669 +vt 0.042309 0.063598 +vt 0.036661 0.063097 +vt 0.038366 0.064546 +vt 0.033138 0.036128 +vt 0.033961 0.036713 +vt 0.035477 0.037831 +vt 0.035090 0.037506 +vt 0.146259 0.020550 +vt 0.123462 0.066083 +vt 0.127281 0.064583 +vt 0.036771 0.052196 +vt 0.132518 0.063346 +vt 0.138006 0.062519 +vt 0.076813 0.014982 +vt 0.031090 0.164726 +vt 0.032852 0.042933 +vt 0.032887 0.040947 +vt 0.033246 0.044201 +vt 0.040977 0.035083 +vt 0.043194 0.035935 +vt 0.035385 0.047073 +vt 0.034304 0.045528 +vt 0.036159 0.047979 +vt 0.036434 0.048888 +vt 0.038231 0.034236 +vt 0.039722 0.034717 +vt 0.176764 0.040380 +vt 0.175804 0.041447 +vt 0.044776 0.036787 +vt 0.045438 0.036952 +vt 0.046103 0.037138 +vt 0.036958 0.051175 +vt 0.157379 0.112317 +vt 0.114739 0.132055 +vt 0.110333 0.134962 +vt 0.106761 0.138645 +vt 0.126298 0.159076 +vt 0.131822 0.158786 +vt 0.132740 0.163062 +vt 0.127500 0.163397 +vt 0.142988 0.062494 +vt 0.147689 0.063605 +vt 0.153287 0.065376 +vt 0.156692 0.067240 +vt 0.132157 0.102654 +vt 0.136931 0.102965 +vt 0.141163 0.104512 +vt 0.144796 0.105789 +vt 0.151835 0.109492 +vt 0.154743 0.111296 +vt 0.147922 0.107243 +vt 0.148692 0.126067 +vt 0.145826 0.124962 +vt 0.135105 0.109138 +vt 0.138206 0.114192 +vt 0.152701 0.126796 +vt 0.150714 0.126697 +vt 0.143560 0.122410 +vt 0.156171 0.118407 +vt 0.154195 0.123241 +vt 0.151931 0.122289 +vt 0.153817 0.117511 +vt 0.147787 0.114947 +vt 0.147115 0.120468 +vt 0.144521 0.119307 +vt 0.144854 0.113570 +vt 0.151230 0.116407 +vt 0.141175 0.111971 +vt 0.149994 0.121610 +vt 0.137970 0.108360 +vt 0.141056 0.119310 +vt 0.159785 0.069268 +vt 0.162527 0.071115 +vt 0.172208 0.046370 +vt 0.170449 0.048687 +vt 0.111005 0.016854 +vt 0.110679 0.017446 +vt 0.111824 0.015207 +vt 0.097494 0.051523 +vt 0.099645 0.041910 +vt 0.092416 0.023498 +vt 0.094628 0.021926 +vt 0.103709 0.030759 +vt 0.104461 0.029526 +vt 0.098115 0.018980 +vt 0.102057 0.017122 +vt 0.106334 0.025480 +vt 0.106888 0.024391 +vt 0.107181 0.023867 +vt 0.107503 0.023168 +vt 0.108430 0.021249 +vt 0.110445 0.018099 +vt 0.110168 0.018599 +vt 0.126565 0.039469 +vt 0.124148 0.031510 +vt 0.121266 0.022703 +vt 0.120558 0.020639 +vt 0.129463 0.045708 +vt 0.127695 0.042790 +vt 0.123762 0.029956 +vt 0.123272 0.028558 +vt 0.122882 0.026851 +vt 0.144906 0.044982 +vt 0.145334 0.025931 +vt 0.145366 0.025138 +vt 0.076563 0.011033 +vt 0.069842 0.021194 +vt 0.070449 0.017959 +vt 0.077199 0.024240 +vt 0.165389 0.072562 +vt 0.168587 0.074098 +vt 0.172164 0.075429 +vt 0.175317 0.076583 +vt 0.062568 0.048097 +vt 0.060299 0.040242 +vt 0.059610 0.037490 +vt 0.056041 0.027918 +vt 0.055588 0.026848 +vt 0.060200 0.021152 +vt 0.061483 0.023477 +vt 0.054603 0.023823 +vt 0.053963 0.022459 +vt 0.053684 0.022000 +vt 0.053219 0.020912 +vt 0.053327 0.021161 +vt 0.053063 0.020408 +vt 0.052832 0.019964 +vt 0.052356 0.018801 +vt 0.057114 0.018991 +vt 0.059298 0.020289 +vt 0.163520 0.025923 +vt 0.062009 0.024436 +vt 0.062606 0.025166 +vt 0.063313 0.025875 +vt 0.064742 0.026855 +vt 0.065434 0.027412 +vt 0.066085 0.028838 +vt 0.067416 0.028479 +vt 0.067401 0.026960 +vt 0.068020 0.026384 +vt 0.069217 0.024450 +vt 0.069550 0.023237 +vt 0.069688 0.022120 +vt 0.070901 0.016100 +vt 0.072263 0.013924 +vt 0.080726 0.013170 +vt 0.081969 0.015206 +vt 0.082540 0.017079 +vt 0.083852 0.020568 +vt 0.084388 0.022019 +vt 0.084309 0.023061 +vt 0.084378 0.024051 +vt 0.085528 0.025590 +vt 0.086518 0.025895 +vt 0.088541 0.026410 +vt 0.090187 0.025107 +vt 0.091657 0.024393 +vt 0.095420 0.021312 +vt 0.096212 0.020319 +vt 0.104180 0.015976 +vt 0.048361 0.025087 +vt 0.049102 0.022796 +vt 0.048509 0.026796 +vt 0.049446 0.029400 +vt 0.049771 0.030247 +vt 0.050106 0.031329 +vt 0.050203 0.032375 +vt 0.161714 0.031112 +vt 0.160442 0.035189 +vt 0.049443 0.036201 +vt 0.049759 0.035422 +vt 0.049739 0.037727 +vt 0.048866 0.038128 +vt 0.047904 0.036955 +vt 0.047297 0.037290 +vt 0.050508 0.058134 +vt 0.047000 0.052743 +vt 0.045082 0.049892 +vt 0.174024 0.043828 +vt 0.042579 0.045475 +vt 0.039416 0.041672 +vt 0.037661 0.040081 +vt 0.037245 0.039621 +vt 0.036900 0.039282 +vt 0.036396 0.038759 +vt 0.036076 0.038510 +vt 0.035836 0.038220 +vt 0.034722 0.037242 +vt 0.034384 0.037045 +vt 0.179767 0.036718 +vt 0.177922 0.038742 +vt 0.174788 0.042846 +vt 0.174266 0.043382 +vt 0.167009 0.053944 +vt 0.165076 0.021009 +vt 0.164084 0.023926 +vt 0.161948 0.030507 +vt 0.159664 0.038122 +vt 0.156725 0.045968 +vt 0.135406 0.210226 +vt 0.134876 0.225181 +vt 0.128202 0.223681 +vt 0.129558 0.209039 +vt 0.127309 0.236943 +vt 0.135017 0.238082 +vt 0.127681 0.249481 +vt 0.136022 0.249904 +vt 0.128826 0.261044 +vt 0.136988 0.260679 +vt 0.130158 0.271773 +vt 0.137861 0.270704 +vt 0.139460 0.280985 +vt 0.132150 0.282134 +vt 0.133412 0.291542 +vt 0.140440 0.290503 +vt 0.140903 0.299124 +vt 0.133827 0.300084 +vt 0.141373 0.306591 +vt 0.134598 0.307507 +vt 0.142109 0.313186 +vt 0.135192 0.314135 +vt 0.142930 0.319664 +vt 0.135804 0.320637 +vt 0.144045 0.327020 +vt 0.136150 0.327781 +vt 0.144773 0.338575 +vt 0.136866 0.338727 +vt 0.145216 0.356097 +vt 0.137371 0.355328 +vt 0.218182 0.399545 +vt 0.220954 0.417214 +vt 0.228910 0.396854 +vt 0.215479 0.381928 +vt 0.225066 0.379567 +vt 0.239346 0.394864 +vt 0.243939 0.411329 +vt 0.232724 0.414143 +vt 0.249642 0.392301 +vt 0.254630 0.407843 +vt 0.128889 0.423273 +vt 0.131393 0.415511 +vt 0.140761 0.418905 +vt 0.138471 0.426839 +vt 0.126068 0.429910 +vt 0.135962 0.433680 +vt 0.133118 0.439920 +vt 0.123010 0.436060 +vt 0.129385 0.445553 +vt 0.119483 0.441542 +vt 0.125078 0.450068 +vt 0.115065 0.445888 +vt 0.112219 0.449075 +vt 0.120025 0.453510 +vt 0.110305 0.451992 +vt 0.117442 0.455722 +vt 0.115059 0.458139 +vt 0.108718 0.455169 +vt 0.181177 0.056187 +vt 0.179064 0.057197 +vt 0.181300 0.054144 +vt 0.181600 0.057784 +vt 0.179123 0.058723 +vt 0.116447 0.058860 +vt 0.110272 0.059063 +vt 0.037123 0.076712 +vt 0.104413 0.059758 +vt 0.096876 0.059632 +vt 0.090693 0.058692 +vt 0.084603 0.056763 +vt 0.079910 0.057124 +vt 0.075565 0.056863 +vt 0.070190 0.057956 +vt 0.065907 0.059810 +vt 0.061957 0.061005 +vt 0.057967 0.064167 +vt 0.055343 0.066901 +vt 0.051749 0.068458 +vt 0.173595 0.069109 +vt 0.176731 0.071188 +vt 0.122215 0.057726 +vt 0.125907 0.056480 +vt 0.131388 0.054525 +vt 0.137250 0.052574 +vt 0.142172 0.051633 +vt 0.167572 0.064018 +vt 0.170336 0.066655 +vt 0.165174 0.061956 +vt 0.161921 0.058535 +vt 0.158849 0.056797 +vt 0.154838 0.054291 +vt 0.146212 0.052754 +vt 0.027178 0.061019 +vt 0.026555 0.060621 +vt 0.027758 0.059819 +vt 0.028049 0.060080 +vt 0.025306 0.056056 +vt 0.025170 0.055527 +vt 0.026123 0.055640 +vt 0.025959 0.056064 +vt 0.026215 0.059696 +vt 0.026169 0.059341 +vt 0.027075 0.059316 +vt 0.027223 0.059573 +vt 0.143489 0.011701 +vt 0.144936 0.011391 +vt 0.146302 0.011398 +vt 0.188106 0.053387 +vt 0.185588 0.053307 +vt 0.186374 0.051804 +vt 0.187889 0.052486 +vt 0.027535 0.061434 +vt 0.028389 0.060299 +vt 0.147470 0.011513 +vt 0.188937 0.058093 +vt 0.187397 0.058883 +vt 0.186566 0.057918 +vt 0.188644 0.057058 +vt 0.148648 0.011830 +vt 0.024771 0.058850 +vt 0.024378 0.059238 +vt 0.023598 0.058192 +vt 0.024157 0.058054 +vt 0.026042 0.059016 +vt 0.026933 0.059059 +vt 0.024986 0.058494 +vt 0.025464 0.058829 +vt 0.025349 0.059120 +vt 0.025417 0.056420 +vt 0.025873 0.056389 +vt 0.185273 0.053488 +vt 0.185375 0.051719 +vt 0.186929 0.059238 +vt 0.186243 0.058144 +vt 0.028900 0.057337 +vt 0.028532 0.057260 +vt 0.027900 0.055803 +vt 0.028952 0.055623 +vt 0.150177 0.012269 +vt 0.027929 0.056889 +vt 0.027709 0.056945 +vt 0.026904 0.056364 +vt 0.027090 0.056157 +vt 0.151397 0.012795 +vt 0.029409 0.057663 +vt 0.029391 0.055719 +vt 0.027518 0.056955 +vt 0.026699 0.056665 +vt 0.024581 0.056420 +vt 0.024200 0.055976 +vt 0.188218 0.054629 +vt 0.185468 0.055190 +vt 0.189478 0.059232 +vt 0.188620 0.059995 +vt 0.025247 0.059532 +vt 0.024673 0.058029 +vt 0.024965 0.056642 +vt 0.185126 0.055367 +vt 0.188044 0.060271 +vt 0.186700 0.059612 +vt 0.185996 0.060725 +vt 0.184521 0.058938 +vt 0.185938 0.058398 +vt 0.030181 0.055940 +vt 0.031293 0.056513 +vt 0.030932 0.058459 +vt 0.030078 0.057933 +vt 0.184796 0.053705 +vt 0.183479 0.053668 +vt 0.183519 0.051611 +vt 0.184728 0.051752 +vt 0.033206 0.056989 +vt 0.033101 0.059030 +vt 0.031833 0.058601 +vt 0.032419 0.056621 +vt 0.181843 0.053888 +vt 0.181999 0.051897 +vt 0.182406 0.051787 +vt 0.182305 0.053712 +vt 0.182281 0.055907 +vt 0.181902 0.056064 +vt 0.184741 0.061512 +vt 0.182791 0.059816 +vt 0.183293 0.059598 +vt 0.185038 0.061382 +vt 0.186428 0.062563 +vt 0.185737 0.062851 +vt 0.029686 0.062389 +vt 0.030502 0.061286 +vt 0.031500 0.062049 +vt 0.030605 0.062953 +vt 0.186987 0.061666 +vt 0.183683 0.055737 +vt 0.029061 0.061858 +vt 0.029790 0.060727 +vt 0.187758 0.060721 +vt 0.028271 0.061567 +vt 0.029146 0.060462 +vt 0.184781 0.055510 +vt 0.031178 0.059999 +vt 0.030417 0.059481 +vt 0.023476 0.056846 +vt 0.024177 0.057104 +vt 0.026390 0.057630 +vt 0.025740 0.057556 +vt 0.026130 0.062065 +vt 0.025542 0.061172 +vt 0.026404 0.062611 +vt 0.029572 0.054072 +vt 0.030229 0.054064 +vt 0.027870 0.063523 +vt 0.026875 0.062852 +vt 0.028803 0.063982 +vt 0.029174 0.064630 +vt 0.032964 0.062515 +vt 0.031649 0.063910 +vt 0.116272 0.019108 +vt 0.117687 0.018328 +vt 0.026925 0.054068 +vt 0.028576 0.054034 +vt 0.185193 0.056560 +vt 0.184871 0.056693 +vt 0.031444 0.054329 +vt 0.032607 0.054319 +vt 0.033039 0.054267 +vt 0.030000 0.065451 +vt 0.184736 0.063468 +vt 0.184050 0.061998 +vt 0.182507 0.060048 +vt 0.182013 0.057826 +vt 0.181511 0.052047 +vt 0.032546 0.060663 +vt 0.029675 0.059149 +vt 0.029121 0.058774 +vt 0.028839 0.058547 +vt 0.028532 0.058374 +vt 0.119266 0.017500 +vt 0.120850 0.016842 +vt 0.027678 0.058061 +vt 0.027449 0.058029 +vt 0.027250 0.057966 +vt 0.025282 0.057394 +vt 0.024750 0.057219 +vt 0.122302 0.016207 +vt 0.123816 0.015892 +vt 0.188460 0.055559 +vt 0.185434 0.056482 +vt 0.184035 0.057327 +vt 0.182528 0.057641 +vt 0.033575 0.054180 +vt 0.034004 0.056970 +vt 0.034555 0.059771 +vt 0.033888 0.061382 +vt 0.047459 0.071462 +vt 0.033965 0.077612 +vt 0.172745 0.061045 +vt 0.142427 0.117408 +vt 0.225206 0.168298 +vt 0.235131 0.185556 +vt 0.242760 0.198238 +vt 0.250009 0.209355 +vt 0.256403 0.219851 +vt 0.259080 0.388784 +vt 0.244316 0.376382 +vt 0.253606 0.373368 +vt 0.268073 0.384210 +vt 0.273713 0.398716 +vt 0.264383 0.403657 +vt 0.375061 0.381828 +vt 0.380530 0.382035 +vt 0.372413 0.380764 +vt 0.369178 0.378443 +vt 0.365124 0.374090 +vt 0.360601 0.369748 +vt 0.355944 0.365011 +vt 0.351211 0.359836 +vt 0.345933 0.353802 +vt 0.284965 0.392154 +vt 0.278479 0.377655 +vt 0.262299 0.368861 +vt 0.271493 0.363184 +vt 0.280263 0.355895 +vt 0.297587 0.295089 +vt 0.307838 0.307638 +vt 0.291285 0.286514 +vt 0.287863 0.280497 +vt 0.284651 0.275039 +vt 0.281519 0.269396 +vt 0.277771 0.263285 +vt 0.274228 0.256010 +vt 0.270048 0.248097 +vt 0.265672 0.239168 +vt 0.261560 0.229765 +vt 0.162621 0.018310 +vt 0.163486 0.018796 +vt 0.164875 0.018821 +vt 0.166012 0.018964 +vt 0.166908 0.019388 +vt 0.167842 0.019966 +vt 0.168908 0.020498 +vt 0.182988 0.036632 +vt 0.183653 0.037287 +vt 0.182119 0.035997 +vt 0.181235 0.035046 +vt 0.180226 0.034000 +vt 0.179582 0.033599 +vt 0.178870 0.033158 +vt 0.189553 0.051841 +vt 0.190078 0.052643 +vt 0.190696 0.053565 +vt 0.191001 0.054736 +vt 0.191098 0.056188 +vt 0.191070 0.057617 +vt 0.191098 0.058582 +vt 0.330502 0.350140 +vt 0.337756 0.343896 +vt 0.323231 0.357504 +vt 0.234280 0.377926 +vt 0.204343 0.384667 +vt 0.172407 0.382789 +vt 0.163286 0.379586 +vt 0.154044 0.376111 +vt 0.145229 0.373538 +vt 0.136962 0.372243 +vt 0.289039 0.347624 +vt 0.833218 0.518189 +vt 0.833504 0.515230 +vt 0.834501 0.515404 +vt 0.834363 0.518361 +vt 0.830640 0.518347 +vt 0.830924 0.514946 +vt 0.832342 0.515149 +vt 0.832059 0.518267 +vt 0.833492 0.520941 +vt 0.832425 0.521251 +vt 0.831206 0.521706 +vt 0.833358 0.523804 +vt 0.832306 0.524781 +vt 0.834283 0.523217 +vt 0.834410 0.525753 +vt 0.833735 0.527009 +vt 0.834986 0.524910 +vt 0.835445 0.527082 +vt 0.835059 0.528755 +vt 0.835830 0.525975 +vt 0.836482 0.527913 +vt 0.836308 0.529890 +vt 0.836668 0.526723 +vt 0.837694 0.528643 +vt 0.837503 0.530446 +vt 0.837721 0.527120 +vt 0.838723 0.528467 +vt 0.838795 0.530383 +vt 0.838722 0.526933 +vt 0.839947 0.528095 +vt 0.840215 0.530197 +vt 0.839764 0.526569 +vt 0.841031 0.527548 +vt 0.841562 0.529517 +vt 0.840770 0.526051 +vt 0.844620 0.522817 +vt 0.845797 0.523610 +vt 0.844462 0.526092 +vt 0.843579 0.524794 +vt 0.843752 0.522310 +vt 0.842863 0.524089 +vt 0.844206 0.513854 +vt 0.845419 0.513407 +vt 0.845722 0.516398 +vt 0.844436 0.516504 +vt 0.846523 0.513380 +vt 0.846976 0.516871 +vt 0.843724 0.511317 +vt 0.844557 0.510733 +vt 0.845552 0.510412 +vt 0.843143 0.509726 +vt 0.843796 0.509041 +vt 0.844519 0.508386 +vt 0.834407 0.512203 +vt 0.835434 0.512494 +vt 0.832041 0.511557 +vt 0.833337 0.511928 +vt 0.833813 0.508595 +vt 0.834842 0.509101 +vt 0.835752 0.509516 +vt 0.836632 0.509831 +vt 0.835669 0.506371 +vt 0.836357 0.507016 +vt 0.836882 0.507609 +vt 0.837475 0.508040 +vt 0.837233 0.505121 +vt 0.837598 0.505806 +vt 0.837939 0.506358 +vt 0.838563 0.507192 +vt 0.839634 0.503909 +vt 0.839675 0.504769 +vt 0.838649 0.505005 +vt 0.838581 0.504356 +vt 0.839815 0.505447 +vt 0.840193 0.506137 +vt 0.839511 0.506453 +vt 0.838664 0.505487 +vt 0.840721 0.503793 +vt 0.840608 0.504740 +vt 0.840678 0.505754 +vt 0.840718 0.506307 +vt 0.841842 0.504214 +vt 0.841580 0.505099 +vt 0.841390 0.506150 +vt 0.841373 0.507166 +vt 0.847427 0.524867 +vt 0.845704 0.527671 +vt 0.845416 0.507344 +vt 0.846744 0.509513 +vt 0.848137 0.512904 +vt 0.850136 0.512279 +vt 0.851007 0.517115 +vt 0.848731 0.517041 +vt 0.842148 0.531539 +vt 0.840507 0.532064 +vt 0.838864 0.532091 +vt 0.837452 0.532000 +vt 0.836100 0.531468 +vt 0.834712 0.530293 +vt 0.833224 0.528415 +vt 0.831441 0.525624 +vt 0.830016 0.522267 +vt 0.829471 0.518482 +vt 0.829758 0.514836 +vt 0.830971 0.511198 +vt 0.832914 0.508002 +vt 0.835152 0.505667 +vt 0.832736 0.530245 +vt 0.830539 0.526639 +vt 0.838289 0.503530 +vt 0.839539 0.503060 +vt 0.840810 0.503049 +vt 0.842216 0.503720 +vt 0.836839 0.504345 +vt 0.836251 0.503001 +vt 0.837948 0.502111 +vt 0.834129 0.504567 +vt 0.835693 0.500823 +vt 0.837761 0.499896 +vt 0.839555 0.499564 +vt 0.839449 0.501707 +vt 0.841346 0.499753 +vt 0.840972 0.501789 +vt 0.843421 0.500631 +vt 0.842737 0.502701 +vt 0.833994 0.494274 +vt 0.836729 0.493343 +vt 0.837460 0.496859 +vt 0.835014 0.497780 +vt 0.839558 0.493055 +vt 0.842267 0.493415 +vt 0.841783 0.496843 +vt 0.839674 0.496590 +vt 0.845373 0.494928 +vt 0.844312 0.497902 +vt 0.833188 0.490518 +vt 0.836200 0.489781 +vt 0.839296 0.489565 +vt 0.842633 0.490014 +vt 0.846828 0.491553 +vt 0.832489 0.486944 +vt 0.835621 0.486569 +vt 0.851233 0.490748 +vt 0.845779 0.486864 +vt 0.850122 0.486826 +vt 0.839005 0.486429 +vt 0.842422 0.486519 +vt 0.852507 0.511587 +vt 0.853556 0.517109 +vt 0.850352 0.507111 +vt 0.848202 0.508337 +vt 0.848230 0.504597 +vt 0.846477 0.506123 +vt 0.851804 0.528174 +vt 0.849453 0.532225 +vt 0.847381 0.529879 +vt 0.849363 0.526447 +vt 0.837444 0.536417 +vt 0.835812 0.535748 +vt 0.836024 0.533242 +vt 0.837417 0.533758 +vt 0.841491 0.536883 +vt 0.839310 0.536825 +vt 0.838965 0.533999 +vt 0.840938 0.534127 +vt 0.834150 0.534441 +vt 0.834545 0.532224 +vt 0.832143 0.531866 +vt 0.829960 0.527939 +vt 0.828012 0.523272 +vt 0.828826 0.522739 +vt 0.828587 0.509639 +vt 0.830819 0.505601 +vt 0.831906 0.507241 +vt 0.829827 0.510754 +vt 0.827086 0.518605 +vt 0.828153 0.518552 +vt 0.827272 0.514128 +vt 0.828475 0.514653 +vt 0.833306 0.502580 +vt 0.832251 0.499587 +vt 0.831024 0.495915 +vt 0.829909 0.491821 +vt 0.829278 0.487522 +vt 0.824249 0.504232 +vt 0.827389 0.499143 +vt 0.829034 0.502604 +vt 0.826496 0.507387 +vt 0.822958 0.511121 +vt 0.825212 0.512942 +vt 0.824275 0.524615 +vt 0.823036 0.518084 +vt 0.825212 0.518492 +vt 0.826448 0.524034 +vt 0.826719 0.530891 +vt 0.828839 0.529598 +vt 0.840337 0.544135 +vt 0.837449 0.543335 +vt 0.837498 0.539606 +vt 0.839743 0.540149 +vt 0.834933 0.542224 +vt 0.835562 0.538761 +vt 0.843505 0.544206 +vt 0.842354 0.540323 +vt 0.832253 0.539985 +vt 0.833588 0.537189 +vt 0.829519 0.536095 +vt 0.831308 0.534094 +vt 0.824061 0.531927 +vt 0.821446 0.524683 +vt 0.827315 0.538087 +vt 0.819734 0.508617 +vt 0.820998 0.499454 +vt 0.825776 0.494432 +vt 0.840985 0.548265 +vt 0.837301 0.547190 +vt 0.833909 0.545435 +vt 0.844751 0.548378 +vt 0.830563 0.542457 +vt 0.819997 0.516897 +vt 0.848582 0.547701 +vt 0.846850 0.543470 +vt 0.824867 0.488539 +vt 0.820970 0.532874 +vt 0.818202 0.525089 +vt 0.816531 0.516483 +vt 0.815702 0.507631 +vt 0.815634 0.498290 +vt 0.815595 0.490099 +vt 0.820397 0.490284 +vt 0.812921 0.516457 +vt 0.811985 0.507230 +vt 0.817871 0.534065 +vt 0.814816 0.525573 +vt 0.811670 0.497596 +vt 0.811663 0.489784 +vt 0.793761 0.552179 +vt 0.787405 0.538993 +vt 0.794004 0.534692 +vt 0.799120 0.547457 +vt 0.783087 0.525538 +vt 0.790113 0.522341 +vt 0.780167 0.512372 +vt 0.787471 0.510644 +vt 0.845980 0.552974 +vt 0.841352 0.552803 +vt 0.836930 0.551514 +vt 0.832858 0.548945 +vt 0.828545 0.545084 +vt 0.824692 0.539765 +vt 0.850543 0.552105 +vt 0.826629 0.547942 +vt 0.821996 0.541639 +vt 0.831511 0.552882 +vt 0.836525 0.556308 +vt 0.810839 0.573157 +vt 0.801811 0.563357 +vt 0.806143 0.558582 +vt 0.814020 0.568443 +vt 0.796545 0.569219 +vt 0.787637 0.557423 +vt 0.804121 0.543316 +vt 0.810082 0.554201 +vt 0.821335 0.581283 +vt 0.819576 0.585179 +vt 0.807295 0.578010 +vt 0.718699 0.615128 +vt 0.701241 0.613305 +vt 0.709928 0.574969 +vt 0.725453 0.583512 +vt 0.870032 0.485169 +vt 0.868127 0.485498 +vt 0.868818 0.492159 +vt 0.866724 0.493206 +vt 0.866324 0.490469 +vt 0.868276 0.489844 +vt 0.869573 0.494710 +vt 0.867999 0.495671 +vt 0.863755 0.491399 +vt 0.864653 0.494291 +vt 0.866036 0.497340 +vt 0.866047 0.488002 +vt 0.865896 0.485771 +vt 0.868161 0.487528 +vt 0.863193 0.486115 +vt 0.863340 0.488637 +vt 0.869942 0.487143 +vt 0.868256 0.500053 +vt 0.869780 0.498119 +vt 0.872491 0.500456 +vt 0.871518 0.502122 +vt 0.875450 0.488704 +vt 0.874696 0.487779 +vt 0.876614 0.486727 +vt 0.876798 0.487546 +vt 0.874665 0.495701 +vt 0.875540 0.495141 +vt 0.878003 0.497519 +vt 0.876592 0.498184 +vt 0.874540 0.486033 +vt 0.874595 0.484687 +vt 0.876754 0.484581 +vt 0.876682 0.485716 +vt 0.878776 0.486471 +vt 0.878685 0.487426 +vt 0.879423 0.484499 +vt 0.879225 0.485533 +vt 0.880973 0.487006 +vt 0.880479 0.487793 +vt 0.882221 0.484559 +vt 0.881671 0.485709 +vt 0.883056 0.488450 +vt 0.882000 0.489018 +vt 0.882190 0.494292 +vt 0.882953 0.491220 +vt 0.883960 0.491145 +vt 0.883563 0.494526 +vt 0.880873 0.496628 +vt 0.880273 0.495316 +vt 0.881304 0.494083 +vt 0.876097 0.489939 +vt 0.875192 0.489720 +vt 0.876207 0.489134 +vt 0.876855 0.493617 +vt 0.876423 0.494262 +vt 0.875334 0.492322 +vt 0.876244 0.491929 +vt 0.878653 0.495181 +vt 0.878306 0.496039 +vt 0.877019 0.488104 +vt 0.878684 0.488115 +vt 0.880104 0.488451 +vt 0.881180 0.489589 +vt 0.881839 0.491344 +vt 0.874477 0.492687 +vt 0.872985 0.484733 +vt 0.871599 0.484952 +vt 0.874219 0.490065 +vt 0.870001 0.489340 +vt 0.870316 0.491635 +vt 0.870945 0.494154 +vt 0.871972 0.496483 +vt 0.870948 0.497074 +vt 0.873161 0.498171 +vt 0.872932 0.499205 +vt 0.881108 0.498137 +vt 0.874770 0.507487 +vt 0.880345 0.510793 +vt 0.878989 0.516353 +vt 0.873188 0.512413 +vt 0.883945 0.484680 +vt 0.883481 0.486261 +vt 0.878798 0.494057 +vt 0.879854 0.494397 +vt 0.880692 0.493561 +vt 0.880665 0.490072 +vt 0.879703 0.489321 +vt 0.877789 0.489163 +vt 0.877276 0.489708 +vt 0.877568 0.493195 +vt 0.878677 0.489019 +vt 0.876843 0.490456 +vt 0.881098 0.491368 +vt 0.877437 0.491869 +vt 0.886547 0.484906 +vt 0.897823 0.504127 +vt 0.900273 0.503125 +vt 0.904276 0.505847 +vt 0.902787 0.507280 +vt 0.916689 0.501839 +vt 0.920203 0.497546 +vt 0.922010 0.498476 +vt 0.917786 0.502502 +vt 0.913974 0.504121 +vt 0.914824 0.504923 +vt 0.895969 0.484618 +vt 0.893287 0.484338 +vt 0.890023 0.484712 +vt 0.880209 0.491692 +vt 0.879876 0.490976 +vt 0.878169 0.492619 +vt 0.878707 0.493311 +vt 0.879820 0.492605 +vt 0.879234 0.493190 +vt 0.878029 0.490100 +vt 0.877635 0.490238 +vt 0.878586 0.489947 +vt 0.877585 0.490808 +vt 0.877746 0.491600 +vt 0.879301 0.490263 +vt 0.878108 0.490805 +vt 0.878332 0.491497 +vt 0.878719 0.492325 +vt 0.878548 0.490600 +vt 0.878884 0.491045 +vt 0.879315 0.491783 +vt 0.920675 0.504107 +vt 0.917605 0.507033 +vt 0.924064 0.499605 +vt 0.902323 0.502205 +vt 0.905019 0.504583 +vt 0.889633 0.486679 +vt 0.886163 0.486718 +vt 0.899198 0.499428 +vt 0.900486 0.498706 +vt 0.903448 0.501318 +vt 0.901584 0.497996 +vt 0.904136 0.500503 +vt 0.905008 0.499726 +vt 0.902994 0.497309 +vt 0.903925 0.496635 +vt 0.905774 0.499156 +vt 0.904947 0.495863 +vt 0.906975 0.498410 +vt 0.906084 0.495070 +vt 0.907410 0.497983 +vt 0.908987 0.503361 +vt 0.910199 0.503704 +vt 0.910439 0.504537 +vt 0.908970 0.504623 +vt 0.909155 0.502596 +vt 0.910011 0.502520 +vt 0.909655 0.500662 +vt 0.910001 0.500277 +vt 0.910039 0.501476 +vt 0.909345 0.501773 +vt 0.909817 0.499609 +vt 0.909923 0.499410 +vt 0.914940 0.499714 +vt 0.915660 0.500598 +vt 0.913301 0.502829 +vt 0.912892 0.501771 +vt 0.911066 0.498512 +vt 0.912483 0.498368 +vt 0.911239 0.499625 +vt 0.910330 0.499044 +vt 0.905737 0.503359 +vt 0.906245 0.502290 +vt 0.906747 0.501304 +vt 0.907783 0.499563 +vt 0.906989 0.500593 +vt 0.908348 0.499287 +vt 0.908838 0.507375 +vt 0.908956 0.506048 +vt 0.910910 0.505927 +vt 0.911268 0.507258 +vt 0.914218 0.499006 +vt 0.912539 0.500923 +vt 0.913470 0.498558 +vt 0.912018 0.500303 +vt 0.893032 0.486554 +vt 0.894849 0.486569 +vt 0.894780 0.488587 +vt 0.892186 0.488996 +vt 0.897020 0.493532 +vt 0.898053 0.492987 +vt 0.899311 0.495631 +vt 0.898213 0.496050 +vt 0.899774 0.492565 +vt 0.901337 0.492054 +vt 0.902364 0.494191 +vt 0.900936 0.494891 +vt 0.889198 0.489030 +vt 0.888950 0.491489 +vt 0.885874 0.491402 +vt 0.885850 0.488944 +vt 0.892363 0.494389 +vt 0.895539 0.493908 +vt 0.896985 0.496678 +vt 0.894179 0.497574 +vt 0.899012 0.488122 +vt 0.900756 0.488007 +vt 0.900828 0.489867 +vt 0.899099 0.490172 +vt 0.896592 0.488382 +vt 0.897440 0.488237 +vt 0.897589 0.490421 +vt 0.896499 0.490618 +vt 0.899423 0.486353 +vt 0.900978 0.486213 +vt 0.897044 0.486552 +vt 0.897700 0.486460 +vt 0.899771 0.484471 +vt 0.901122 0.484329 +vt 0.897683 0.484586 +vt 0.898231 0.484573 +vt 0.903002 0.491300 +vt 0.902913 0.489538 +vt 0.903132 0.487930 +vt 0.903121 0.486022 +vt 0.903197 0.484461 +vt 0.895100 0.490868 +vt 0.917126 0.496160 +vt 0.918507 0.496752 +vt 0.913348 0.494608 +vt 0.915094 0.494777 +vt 0.916065 0.495387 +vt 0.923159 0.492519 +vt 0.920701 0.492033 +vt 0.918603 0.491253 +vt 0.917164 0.490860 +vt 0.915672 0.490592 +vt 0.914420 0.490133 +vt 0.917966 0.486393 +vt 0.919440 0.486518 +vt 0.921499 0.486722 +vt 0.927014 0.487424 +vt 0.929569 0.487801 +vt 0.927626 0.494019 +vt 0.925184 0.493472 +vt 0.924361 0.486956 +vt 0.914846 0.486375 +vt 0.916143 0.486424 +vt 0.912101 0.494439 +vt 0.913127 0.489781 +vt 0.914040 0.486312 +vt 0.905105 0.487855 +vt 0.905237 0.489352 +vt 0.905354 0.485820 +vt 0.905509 0.490386 +vt 0.910862 0.495711 +vt 0.911341 0.489411 +vt 0.905418 0.484387 +vt 0.909795 0.499320 +vt 0.909879 0.499326 +vt 0.908675 0.497741 +vt 0.909160 0.498890 +vt 0.906658 0.487579 +vt 0.906800 0.488908 +vt 0.909994 0.499144 +vt 0.910130 0.497995 +vt 0.855674 0.027150 +vt 0.866500 0.037576 +vt 0.864728 0.040494 +vt 0.856868 0.031431 +vt 0.906760 0.484264 +vt 0.906706 0.485575 +vt 0.911576 0.486659 +vt 0.906694 0.490268 +vt 0.907541 0.494498 +vt 0.894766 0.018293 +vt 0.898190 0.015695 +vt 0.901432 0.019093 +vt 0.898834 0.021789 +vt 0.901169 0.013682 +vt 0.903607 0.016527 +vt 0.850578 0.028769 +vt 0.849489 0.024899 +vt 0.890594 0.022033 +vt 0.892363 0.020287 +vt 0.896120 0.024105 +vt 0.894394 0.025611 +vt 0.870606 0.046046 +vt 0.867315 0.043665 +vt 0.870282 0.041095 +vt 0.873382 0.044493 +vt 0.883482 0.037055 +vt 0.881666 0.040063 +vt 0.878522 0.038003 +vt 0.879683 0.034810 +vt 0.884008 0.029583 +vt 0.887588 0.032221 +vt 0.861560 0.042734 +vt 0.855388 0.036356 +vt 0.877509 0.045835 +vt 0.875765 0.047052 +vt 0.875440 0.044493 +vt 0.876523 0.043090 +vt 0.864541 0.045955 +vt 0.879890 0.047135 +vt 0.876235 0.048766 +vt 0.904926 0.014560 +vt 0.909031 0.020189 +vt 0.907563 0.021802 +vt 0.905342 0.023724 +vt 0.902990 0.026039 +vt 0.848661 0.033845 +vt 0.900702 0.028248 +vt 0.899092 0.029544 +vt 0.868061 0.048145 +vt 0.888568 0.039152 +vt 0.886132 0.041796 +vt 0.892410 0.035542 +vt 0.859134 0.044890 +vt 0.853740 0.040457 +vt 0.856798 0.049553 +vt 0.853003 0.047182 +vt 0.862569 0.047694 +vt 0.882125 0.048861 +vt 0.876872 0.050343 +vt 0.912291 0.025385 +vt 0.910780 0.026706 +vt 0.908820 0.028508 +vt 0.906639 0.030350 +vt 0.847357 0.037754 +vt 0.904504 0.032075 +vt 0.903014 0.033243 +vt 0.866474 0.049642 +vt 0.892874 0.041504 +vt 0.890081 0.043906 +vt 0.896593 0.037965 +vt 0.846788 0.097267 +vt 0.846839 0.102177 +vt 0.896804 0.045533 +vt 0.893698 0.047579 +vt 0.900617 0.043105 +vt 0.847995 0.076251 +vt 0.909973 0.036305 +vt 0.908035 0.037943 +vt 0.855980 0.056036 +vt 0.852216 0.053781 +vt 0.860446 0.051433 +vt 0.847293 0.064450 +vt 0.884341 0.051944 +vt 0.877460 0.053095 +vt 0.915690 0.032182 +vt 0.914015 0.033108 +vt 0.846833 0.052315 +vt 0.912247 0.034554 +vt 0.845880 0.044411 +vt 0.906606 0.038961 +vt 0.864827 0.052760 +vt 0.920410 0.044845 +vt 0.918724 0.045321 +vt 0.916398 0.046608 +vt 0.914026 0.047934 +vt 0.911424 0.049262 +vt 0.909985 0.049919 +vt 0.864544 0.058221 +vt 0.859712 0.057248 +vt 0.900043 0.053877 +vt 0.896540 0.055157 +vt 0.903858 0.052756 +vt 0.857519 0.065797 +vt 0.853042 0.064988 +vt 0.886009 0.057886 +vt 0.878491 0.058396 +vt 0.861115 0.066555 +vt 0.886827 0.067403 +vt 0.879051 0.067410 +vt 0.923740 0.061881 +vt 0.921807 0.062297 +vt 0.918895 0.063163 +vt 0.916240 0.063836 +vt 0.913573 0.064311 +vt 0.912085 0.064551 +vt 0.864732 0.066856 +vt 0.902123 0.065374 +vt 0.898540 0.065651 +vt 0.904963 0.065276 +vt 0.857874 0.078004 +vt 0.853296 0.076932 +vt 0.850972 0.096335 +vt 0.854965 0.095066 +vt 0.861530 0.078458 +vt 0.886600 0.080335 +vt 0.879078 0.080079 +vt 0.923205 0.082193 +vt 0.921046 0.082815 +vt 0.917372 0.082619 +vt 0.914078 0.082303 +vt 0.911043 0.081889 +vt 0.908100 0.081617 +vt 0.865162 0.077990 +vt 0.899801 0.080655 +vt 0.896557 0.080473 +vt 0.902434 0.080944 +vt 0.917721 0.101406 +vt 0.915599 0.100732 +vt 0.912225 0.099904 +vt 0.909424 0.098762 +vt 0.906702 0.097667 +vt 0.904100 0.096969 +vt 0.865089 0.091659 +vt 0.858895 0.092353 +vt 0.896134 0.094819 +vt 0.892680 0.094237 +vt 0.898931 0.095432 +vt 0.849674 0.102748 +vt 0.853335 0.103373 +vt 0.883235 0.093699 +vt 0.877237 0.093552 +vt 0.889491 0.108186 +vt 0.886248 0.106979 +vt 0.892345 0.109356 +vt 0.901431 0.114157 +vt 0.899605 0.112887 +vt 0.857654 0.105058 +vt 0.878917 0.105587 +vt 0.875020 0.107271 +vt 0.907492 0.118236 +vt 0.905552 0.117393 +vt 0.903718 0.115992 +vt 0.897403 0.111778 +vt 0.862823 0.109545 +vt 0.861474 0.117929 +vt 0.858789 0.116898 +vt 0.851525 0.117531 +vt 0.855483 0.116559 +vt 0.847845 0.117152 +vt 0.882660 0.122007 +vt 0.881114 0.121263 +vt 0.885204 0.121360 +vt 0.895277 0.110545 +vt 0.887441 0.122849 +vt 0.875478 0.117095 +vt 0.870367 0.118294 +vt 0.896272 0.132118 +vt 0.895003 0.130818 +vt 0.894086 0.127915 +vt 0.892650 0.126647 +vt 0.889633 0.126883 +vt 0.888352 0.125793 +vt 0.866287 0.130236 +vt 0.864629 0.131773 +vt 0.778648 0.500272 +vt 0.785851 0.500156 +vt 0.933022 0.488420 +vt 0.930780 0.494840 +vt 0.909306 0.512524 +vt 0.908764 0.509518 +vt 0.912277 0.510103 +vt 0.913072 0.512424 +vt 0.923440 0.505158 +vt 0.919918 0.508829 +vt 0.927427 0.500854 +vt 0.962263 0.490713 +vt 0.968530 0.491339 +vt 0.967850 0.502309 +vt 0.961067 0.499963 +vt 0.939363 0.573945 +vt 0.931804 0.585888 +vt 0.924991 0.581142 +vt 0.931620 0.568754 +vt 0.418574 0.949612 +vt 0.423237 0.951413 +vt 0.421701 0.955770 +vt 0.417349 0.953440 +vt 0.420404 0.942293 +vt 0.425478 0.945351 +vt 0.424591 0.932713 +vt 0.429507 0.936982 +vt 0.431979 0.921085 +vt 0.437781 0.924429 +vt 0.443004 0.908327 +vt 0.448961 0.913339 +vt 0.454966 0.898100 +vt 0.460689 0.901974 +vt 0.410301 0.945096 +vt 0.414249 0.946906 +vt 0.412925 0.951138 +vt 0.408684 0.949444 +vt 0.412474 0.937914 +vt 0.416935 0.940442 +vt 0.415436 0.926882 +vt 0.419727 0.929707 +vt 0.420844 0.914559 +vt 0.426174 0.917636 +vt 0.430429 0.901790 +vt 0.436832 0.904845 +vt 0.443145 0.891229 +vt 0.448406 0.894127 +vt 0.920116 0.599702 +vt 0.913639 0.593962 +vt 0.977064 0.506097 +vt 0.977804 0.492641 +vt 0.992106 0.497377 +vt 0.990140 0.514495 +vt 0.384361 0.950586 +vt 0.382552 0.951394 +vt 0.382695 0.945153 +vt 0.384872 0.944152 +vt 0.382886 0.932480 +vt 0.385354 0.932303 +vt 0.383348 0.918562 +vt 0.385479 0.918694 +vt 0.396638 0.905456 +vt 0.394230 0.919450 +vt 0.389394 0.918952 +vt 0.390989 0.903992 +vt 0.388738 0.886407 +vt 0.394001 0.888334 +vt 0.386720 0.903036 +vt 0.384116 0.902813 +vt 0.384575 0.885820 +vt 0.400137 0.889168 +vt 0.385771 0.868808 +vt 0.391219 0.870442 +vt 0.399224 0.920338 +vt 0.397754 0.932426 +vt 0.393717 0.931919 +vt 0.406258 0.872849 +vt 0.398571 0.870439 +vt 0.424187 0.898337 +vt 0.436385 0.886586 +vt 0.415912 0.911745 +vt 0.411266 0.924436 +vt 0.944182 0.563404 +vt 0.938151 0.558387 +vt 0.779893 0.543934 +vt 0.431686 0.949293 +vt 0.429177 0.954541 +vt 0.467208 0.906368 +vt 0.454699 0.918324 +vt 0.443869 0.929322 +vt 0.435392 0.941736 +vt 0.927130 0.664811 +vt 0.942957 0.673213 +vt 0.933638 0.694102 +vt 0.917502 0.686941 +vt 0.473222 0.912998 +vt 0.460491 0.923794 +vt 0.963777 0.683433 +vt 0.954248 0.701639 +vt 0.450083 0.935257 +vt 0.442000 0.945938 +vt 0.926188 0.716506 +vt 0.910801 0.710992 +vt 0.477896 0.919662 +vt 0.466166 0.930336 +vt 0.945772 0.723031 +vt 0.456172 0.941105 +vt 0.449159 0.950454 +vt 0.919693 0.736822 +vt 0.905476 0.733125 +vt 0.482480 0.927135 +vt 0.470995 0.936819 +vt 0.939067 0.742104 +vt 0.461329 0.946952 +vt 0.454899 0.954986 +vt 0.914107 0.754414 +vt 0.900224 0.750909 +vt 0.485995 0.935450 +vt 0.476441 0.943811 +vt 0.933708 0.758520 +vt 0.466083 0.951824 +vt 0.459297 0.959214 +vt 0.908196 0.773574 +vt 0.894116 0.770124 +vt 0.488707 0.942437 +vt 0.480029 0.949383 +vt 0.926999 0.777180 +vt 0.470155 0.957600 +vt 0.463441 0.964413 +vt 0.884989 0.803378 +vt 0.899856 0.806244 +vt 0.898530 0.814783 +vt 0.883000 0.812613 +vt 0.484991 0.958974 +vt 0.492611 0.953924 +vt 0.494562 0.957822 +vt 0.486744 0.962204 +vt 0.919852 0.809529 +vt 0.919027 0.817634 +vt 0.470070 0.972190 +vt 0.476141 0.966516 +vt 0.477847 0.968308 +vt 0.471715 0.973856 +vt 0.713974 0.683426 +vt 0.698941 0.691346 +vt 0.686883 0.655300 +vt 0.704892 0.651325 +vt 0.683290 0.699645 +vt 0.668606 0.659024 +vt 0.746457 0.667264 +vt 0.728926 0.676585 +vt 0.721123 0.648436 +vt 0.739062 0.643615 +vt 0.792019 0.647033 +vt 0.777861 0.652973 +vt 0.772835 0.637704 +vt 0.788290 0.635277 +vt 0.762578 0.659748 +vt 0.756964 0.640931 +vt 0.855760 0.591896 +vt 0.856162 0.597652 +vt 0.844741 0.594961 +vt 0.844793 0.589633 +vt 0.832327 0.591326 +vt 0.833449 0.586006 +vt 0.757613 0.600265 +vt 0.773326 0.606491 +vt 0.771008 0.620402 +vt 0.754528 0.619181 +vt 0.866873 0.593110 +vt 0.867639 0.600175 +vt 0.852349 0.689948 +vt 0.848724 0.706359 +vt 0.831919 0.703348 +vt 0.837743 0.688454 +vt 0.736851 0.616944 +vt 0.741245 0.591980 +vt 0.842713 0.723476 +vt 0.824757 0.719581 +vt 0.916564 0.574538 +vt 0.905735 0.585496 +vt 0.426863 0.958422 +vt 0.904733 0.679014 +vt 0.914393 0.656030 +vt 0.899868 0.707048 +vt 0.894047 0.729565 +vt 0.887554 0.749508 +vt 0.882150 0.767247 +vt 0.864391 0.539711 +vt 0.860031 0.545502 +vt 0.856924 0.541178 +vt 0.860773 0.535425 +vt 0.842788 0.533627 +vt 0.843847 0.536385 +vt 0.854708 0.530278 +vt 0.851872 0.534943 +vt 0.845204 0.539835 +vt 0.846567 0.535068 +vt 0.848350 0.538042 +vt 0.857663 0.532617 +vt 0.854157 0.537651 +vt 0.901988 0.612434 +vt 0.897582 0.602534 +vt 0.892866 0.592402 +vt 0.958195 0.499150 +vt 0.959640 0.490435 +vt 0.955918 0.509598 +vt 0.959342 0.511721 +vt 0.955457 0.525206 +vt 0.951791 0.521767 +vt 0.960366 0.529822 +vt 0.965205 0.515160 +vt 0.950238 0.537559 +vt 0.946312 0.533511 +vt 0.954608 0.542444 +vt 0.394980 0.949479 +vt 0.391430 0.949610 +vt 0.392812 0.943499 +vt 0.396554 0.943506 +vt 0.389272 0.932218 +vt 0.406590 0.890891 +vt 0.414076 0.874491 +vt 0.401815 0.906483 +vt 0.387798 0.949928 +vt 0.388612 0.943634 +vt 0.966981 0.536335 +vt 0.973170 0.520714 +vt 0.975526 0.546030 +vt 0.968866 0.557062 +vt 0.960827 0.548636 +vt 0.932433 0.552853 +vt 0.924788 0.563116 +vt 0.403320 0.943591 +vt 0.406581 0.943886 +vt 0.404920 0.948815 +vt 0.401506 0.948921 +vt 0.407985 0.923064 +vt 0.411724 0.909462 +vt 0.418181 0.894985 +vt 0.429404 0.882802 +vt 0.946355 0.579632 +vt 0.954696 0.586576 +vt 0.948220 0.597202 +vt 0.939381 0.591303 +vt 0.917865 0.618405 +vt 0.930363 0.623285 +vt 0.922067 0.637870 +vt 0.910544 0.632445 +vt 0.951497 0.569000 +vt 0.959328 0.576622 +vt 0.929520 0.604671 +vt 0.939730 0.609470 +vt 0.903768 0.647415 +vt 0.804633 0.642415 +vt 0.801391 0.632267 +vt 0.815504 0.638499 +vt 0.813398 0.630903 +vt 0.867277 0.606710 +vt 0.856304 0.602889 +vt 0.662865 0.710597 +vt 0.643204 0.662415 +vt 0.880812 0.613063 +vt 0.881100 0.602423 +vt 0.772307 0.699547 +vt 0.761166 0.712823 +vt 0.744232 0.697272 +vt 0.758672 0.685350 +vt 0.895369 0.661285 +vt 0.863528 0.800018 +vt 0.872755 0.801321 +vt 0.870412 0.810953 +vt 0.862047 0.810078 +vt 0.846832 0.779931 +vt 0.845317 0.797014 +vt 0.827910 0.792943 +vt 0.830179 0.775511 +vt 0.849916 0.761339 +vt 0.834104 0.757678 +vt 0.877490 0.747523 +vt 0.872003 0.765371 +vt 0.883038 0.727891 +vt 0.888133 0.707235 +vt 0.891295 0.684246 +vt 0.888748 0.787338 +vt 0.876851 0.784780 +vt 0.806209 0.714958 +vt 0.814371 0.700167 +vt 0.804849 0.785189 +vt 0.800678 0.802406 +vt 0.773625 0.795585 +vt 0.780688 0.777246 +vt 0.821823 0.686540 +vt 0.817819 0.735405 +vt 0.812665 0.751495 +vt 0.791235 0.744719 +vt 0.797875 0.729889 +vt 0.841874 0.676422 +vt 0.829306 0.674521 +vt 0.812885 0.669153 +vt 0.805822 0.681876 +vt 0.794559 0.674518 +vt 0.804427 0.662289 +vt 0.787321 0.709359 +vt 0.778090 0.723404 +vt 0.796831 0.695261 +vt 0.783370 0.686987 +vt 0.754310 0.767287 +vt 0.745033 0.784017 +vt 0.716101 0.767219 +vt 0.728721 0.750924 +vt 0.770221 0.736620 +vt 0.750943 0.724647 +vt 0.731680 0.707515 +vt 0.797725 0.655220 +vt 0.785067 0.665411 +vt 0.772073 0.674939 +vt 0.706170 0.730571 +vt 0.687931 0.743599 +vt 0.702582 0.522638 +vt 0.680666 0.556370 +vt 0.660913 0.544667 +vt 0.690115 0.508931 +vt 0.736517 0.561720 +vt 0.724828 0.549484 +vt 0.772036 0.549508 +vt 0.765132 0.534953 +vt 0.774343 0.529840 +vt 0.781164 0.563168 +vt 0.791610 0.574642 +vt 0.694494 0.564500 +vt 0.683639 0.610131 +vt 0.837096 0.740299 +vt 0.777714 0.491345 +vt 0.784660 0.490734 +vt 0.759897 0.520283 +vt 0.770650 0.515967 +vt 0.775257 0.568650 +vt 0.765312 0.554785 +vt 0.786274 0.580009 +vt 0.808348 0.767969 +vt 0.776954 0.595260 +vt 0.763078 0.585943 +vt 0.749050 0.574008 +vt 0.757058 0.539987 +vt 0.983347 0.531549 +vt 0.898936 0.627068 +vt 0.894603 0.640596 +vt 0.887908 0.651109 +vt 0.886949 0.668130 +vt 0.845594 0.666281 +vt 0.835497 0.664231 +vt 0.820043 0.658837 +vt 0.813895 0.652934 +vt 0.808234 0.647987 +vt 0.757908 0.561937 +vt 0.769429 0.575549 +vt 0.781282 0.586498 +vt 0.826218 0.806112 +vt 0.748049 0.547680 +vt 0.741177 0.497553 +vt 0.753179 0.494037 +vt 0.467018 0.968422 +vt 0.473598 0.962192 +vt 0.666748 0.606618 +vt 0.641249 0.600887 +vt 0.866463 0.675417 +vt 0.855271 0.676371 +vt 0.855850 0.666312 +vt 0.865012 0.665099 +vt 0.713168 0.534826 +vt 0.733428 0.516758 +vt 0.739961 0.533375 +vt 0.767429 0.492132 +vt 0.786024 0.760460 +vt 0.903202 0.790432 +vt 0.923375 0.793725 +vt 0.719250 0.718559 +vt 0.727882 0.503061 +vt 0.482697 0.954370 +vt 0.490684 0.948845 +vt 0.762606 0.751615 +vt 0.740139 0.737333 +vt 0.750479 0.525580 +vt 0.936024 0.488887 +vt 0.849910 0.503015 +vt 0.847262 0.500510 +vt 0.848610 0.498511 +vt 0.851461 0.501633 +vt 0.942962 0.530112 +vt 0.948856 0.519480 +vt 0.953225 0.508221 +vt 0.955402 0.498390 +vt 0.956678 0.490247 +vt 0.405223 0.933852 +vt 0.409030 0.935051 +vt 0.839235 0.656282 +vt 0.847052 0.657825 +vt 0.827371 0.651825 +vt 0.821997 0.647551 +vt 0.769221 0.501789 +vt 0.755756 0.505221 +vt 0.745037 0.509655 +vt 0.835586 0.518427 +vt 0.835555 0.515538 +vt 0.837013 0.515746 +vt 0.837007 0.518337 +vt 0.837298 0.525011 +vt 0.837963 0.525473 +vt 0.837066 0.525872 +vt 0.836263 0.525246 +vt 0.836880 0.524487 +vt 0.835841 0.524648 +vt 0.836576 0.523103 +vt 0.835244 0.523085 +vt 0.835788 0.521032 +vt 0.834575 0.520992 +vt 0.836302 0.512655 +vt 0.841056 0.508462 +vt 0.840668 0.507181 +vt 0.838777 0.508090 +vt 0.839602 0.507708 +vt 0.839443 0.509006 +vt 0.838942 0.509208 +vt 0.840096 0.506993 +vt 0.842187 0.510541 +vt 0.841715 0.509777 +vt 0.842192 0.509246 +vt 0.842677 0.510194 +vt 0.842404 0.514206 +vt 0.842264 0.512137 +vt 0.843185 0.511712 +vt 0.843414 0.514120 +vt 0.837988 0.508635 +vt 0.842537 0.516405 +vt 0.843686 0.516492 +vt 0.837345 0.510092 +vt 0.841797 0.523102 +vt 0.842211 0.521452 +vt 0.843125 0.521785 +vt 0.842361 0.523620 +vt 0.840292 0.525064 +vt 0.840968 0.524737 +vt 0.841293 0.524976 +vt 0.840762 0.525377 +vt 0.838971 0.525337 +vt 0.839642 0.525219 +vt 0.839936 0.525770 +vt 0.838976 0.526031 +vt 0.838539 0.525417 +vt 0.838091 0.526169 +vt 0.839274 0.516360 +vt 0.839385 0.514294 +vt 0.841256 0.514350 +vt 0.841309 0.516412 +vt 0.839625 0.522481 +vt 0.839835 0.521207 +vt 0.841157 0.521059 +vt 0.840940 0.522646 +vt 0.839127 0.523468 +vt 0.839176 0.523542 +vt 0.838932 0.524518 +vt 0.838748 0.524453 +vt 0.838252 0.518470 +vt 0.838658 0.521112 +vt 0.837276 0.520978 +vt 0.839822 0.510652 +vt 0.839392 0.511294 +vt 0.838358 0.510713 +vt 0.838563 0.509585 +vt 0.840003 0.511999 +vt 0.841385 0.512368 +vt 0.839238 0.523569 +vt 0.839054 0.524536 +vt 0.838915 0.522531 +vt 0.837721 0.522670 +vt 0.840043 0.510430 +vt 0.839880 0.510569 +vt 0.840209 0.511447 +vt 0.840306 0.511158 +vt 0.841298 0.510201 +vt 0.841414 0.511150 +vt 0.839330 0.523550 +vt 0.839403 0.524514 +vt 0.839080 0.523266 +vt 0.838293 0.523689 +vt 0.840197 0.510355 +vt 0.839932 0.508827 +vt 0.839419 0.523455 +vt 0.839463 0.523290 +vt 0.840329 0.523946 +vt 0.839802 0.524389 +vt 0.839114 0.523391 +vt 0.838501 0.524172 +vt 0.840301 0.510411 +vt 0.840424 0.508999 +vt 0.838451 0.513318 +vt 0.838170 0.516107 +vt 0.837370 0.512981 +vt 0.840382 0.510646 +vt 0.840928 0.509599 +vt 0.098954 0.600965 +vt 0.103086 0.608573 +vt 0.088613 0.616041 +vt 0.086143 0.599128 +vt 0.121246 0.566625 +vt 0.115029 0.568049 +vt 0.107075 0.551327 +vt 0.121168 0.547391 +vt 0.139713 0.576141 +vt 0.135529 0.571398 +vt 0.147994 0.561919 +vt 0.151156 0.571181 +vt 0.141874 0.599730 +vt 0.142798 0.595914 +vt 0.149523 0.595923 +vt 0.149135 0.599323 +vt 0.118785 0.615721 +vt 0.126574 0.614846 +vt 0.136337 0.626557 +vt 0.121025 0.632858 +vt 0.098235 0.594028 +vt 0.089218 0.589692 +vt 0.110367 0.570703 +vt 0.097147 0.564817 +vt 0.143195 0.592365 +vt 0.149637 0.593275 +vt 0.132708 0.611797 +vt 0.143434 0.617443 +vt 0.090076 0.586239 +vt 0.091728 0.583094 +vt 0.101398 0.586256 +vt 0.099548 0.589336 +vt 0.108100 0.573314 +vt 0.106333 0.575931 +vt 0.096467 0.571167 +vt 0.096477 0.568809 +vt 0.143076 0.589117 +vt 0.149333 0.591420 +vt 0.137227 0.607821 +vt 0.147372 0.608627 +vt 0.103024 0.584064 +vt 0.093900 0.580762 +vt 0.142932 0.585756 +vt 0.142259 0.581731 +vt 0.151156 0.584484 +vt 0.150618 0.588029 +vt 0.140063 0.603788 +vt 0.148514 0.604052 +vt 0.103959 0.581990 +vt 0.094689 0.579764 +vt 0.110581 0.613671 +vt 0.103089 0.631540 +vt 0.104913 0.579379 +vt 0.095145 0.577067 +vt 0.107447 0.583534 +vt 0.106434 0.585423 +vt 0.109333 0.603101 +vt 0.114175 0.606299 +vt 0.133680 0.599839 +vt 0.134967 0.597086 +vt 0.119482 0.607451 +vt 0.108823 0.581501 +vt 0.106052 0.598573 +vt 0.121626 0.573483 +vt 0.117028 0.574344 +vt 0.134267 0.580933 +vt 0.131444 0.577488 +vt 0.135668 0.594451 +vt 0.124462 0.606969 +vt 0.104945 0.593948 +vt 0.113973 0.575913 +vt 0.136033 0.591875 +vt 0.128620 0.605198 +vt 0.105690 0.587558 +vt 0.105149 0.590290 +vt 0.112116 0.577424 +vt 0.110484 0.579135 +vt 0.136196 0.589451 +vt 0.131683 0.602643 +vt 0.136103 0.587213 +vt 0.135693 0.584506 +vt 0.119751 0.602897 +vt 0.123313 0.602699 +vt 0.108816 0.593515 +vt 0.110092 0.596799 +vt 0.118165 0.577980 +vt 0.115803 0.578906 +vt 0.132159 0.593608 +vt 0.132510 0.591518 +vt 0.126379 0.601570 +vt 0.108795 0.588333 +vt 0.108522 0.590631 +vt 0.114256 0.579889 +vt 0.112784 0.581119 +vt 0.132552 0.589523 +vt 0.128763 0.599831 +vt 0.109336 0.586474 +vt 0.132432 0.587775 +vt 0.132001 0.585822 +vt 0.130452 0.597817 +vt 0.110109 0.584812 +vt 0.112616 0.599856 +vt 0.116042 0.601944 +vt 0.131486 0.595700 +vt 0.111198 0.582978 +vt 0.121593 0.577623 +vt 0.130906 0.583301 +vt 0.128858 0.580749 +vt 0.116954 0.599657 +vt 0.119843 0.600459 +vt 0.112584 0.583892 +vt 0.111535 0.585525 +vt 0.112175 0.595753 +vt 0.114244 0.598074 +vt 0.121481 0.579851 +vt 0.118686 0.579998 +vt 0.129067 0.584534 +vt 0.127396 0.582494 +vt 0.129641 0.594924 +vt 0.130260 0.593118 +vt 0.122669 0.600378 +vt 0.110943 0.593200 +vt 0.116729 0.580618 +vt 0.130565 0.591282 +vt 0.125157 0.599576 +vt 0.110524 0.588774 +vt 0.110470 0.590809 +vt 0.115396 0.581322 +vt 0.114073 0.582304 +vt 0.130597 0.589559 +vt 0.127153 0.598258 +vt 0.110899 0.587072 +vt 0.130407 0.588097 +vt 0.130007 0.586531 +vt 0.128633 0.596655 +vt 0.126153 0.597230 +vt 0.127498 0.595897 +vt 0.128446 0.594404 +vt 0.129041 0.592807 +vt 0.129343 0.591161 +vt 0.129342 0.589627 +vt 0.113465 0.584564 +vt 0.112506 0.586060 +vt 0.129167 0.588357 +vt 0.128779 0.587029 +vt 0.127930 0.585349 +vt 0.126466 0.583615 +vt 0.121347 0.581275 +vt 0.118925 0.581307 +vt 0.119885 0.598911 +vt 0.122263 0.598900 +vt 0.117224 0.581761 +vt 0.113438 0.595037 +vt 0.115218 0.596888 +vt 0.111944 0.587505 +vt 0.111688 0.589084 +vt 0.111753 0.590903 +vt 0.116045 0.582320 +vt 0.114851 0.583158 +vt 0.112291 0.592942 +vt 0.117459 0.598230 +vt 0.124394 0.598288 +vt 0.123788 0.597227 +vt 0.125356 0.596364 +vt 0.112687 0.589325 +vt 0.112831 0.590945 +vt 0.113371 0.592686 +vt 0.117563 0.582741 +vt 0.116523 0.583208 +vt 0.121204 0.582456 +vt 0.119074 0.582416 +vt 0.114408 0.594419 +vt 0.115960 0.595932 +vt 0.128280 0.591091 +vt 0.128299 0.589733 +vt 0.119922 0.597673 +vt 0.121947 0.597700 +vt 0.128131 0.588629 +vt 0.126576 0.595249 +vt 0.117861 0.597067 +vt 0.113335 0.586557 +vt 0.112859 0.587881 +vt 0.126993 0.586051 +vt 0.125692 0.584547 +vt 0.127444 0.593968 +vt 0.114200 0.585208 +vt 0.128007 0.592562 +vt 0.127769 0.587494 +vt 0.127192 0.589850 +vt 0.127055 0.588921 +vt 0.124582 0.595458 +vt 0.125662 0.594553 +vt 0.115325 0.593783 +vt 0.116653 0.595004 +vt 0.114981 0.585909 +vt 0.114222 0.587089 +vt 0.113837 0.588245 +vt 0.126037 0.586751 +vt 0.124906 0.585453 +vt 0.126423 0.593493 +vt 0.118260 0.595960 +vt 0.119985 0.596491 +vt 0.113744 0.589513 +vt 0.119229 0.583546 +vt 0.117915 0.583774 +vt 0.126905 0.592295 +vt 0.113922 0.590921 +vt 0.114422 0.592383 +vt 0.126730 0.587969 +vt 0.127154 0.591019 +vt 0.121667 0.596536 +vt 0.123219 0.596158 +vt 0.117005 0.584141 +vt 0.121078 0.583632 +vt 0.115393 0.587710 +vt 0.115103 0.588644 +vt 0.124916 0.587485 +vt 0.123996 0.586443 +vt 0.124610 0.593664 +vt 0.125221 0.592848 +vt 0.118765 0.594728 +vt 0.120115 0.595164 +vt 0.115071 0.589678 +vt 0.119489 0.584841 +vt 0.118401 0.584986 +vt 0.125582 0.591888 +vt 0.115254 0.590824 +vt 0.115667 0.591981 +vt 0.125496 0.588451 +vt 0.125779 0.590862 +vt 0.121415 0.595202 +vt 0.122631 0.594896 +vt 0.116394 0.593057 +vt 0.117652 0.585264 +vt 0.120987 0.584947 +vt 0.125852 0.589933 +vt 0.123731 0.594349 +vt 0.117465 0.593993 +vt 0.125774 0.589200 +vt 0.116014 0.586748 +vt 0.122061 0.588885 +vt 0.121946 0.588512 +vt 0.123534 0.588208 +vt 0.123918 0.588871 +vt 0.124087 0.589387 +vt 0.124115 0.589905 +vt 0.121978 0.589591 +vt 0.122066 0.589212 +vt 0.117810 0.592214 +vt 0.117319 0.591485 +vt 0.119270 0.591226 +vt 0.119420 0.591648 +vt 0.121180 0.591731 +vt 0.121438 0.591376 +vt 0.123247 0.592496 +vt 0.122651 0.592972 +vt 0.120960 0.586409 +vt 0.122125 0.586818 +vt 0.121631 0.587719 +vt 0.121010 0.587496 +vt 0.121917 0.593359 +vt 0.120890 0.592034 +vt 0.120681 0.587678 +vt 0.119952 0.586355 +vt 0.121785 0.588106 +vt 0.122940 0.587477 +vt 0.119660 0.592011 +vt 0.119887 0.592346 +vt 0.119387 0.593342 +vt 0.118527 0.592841 +vt 0.121625 0.590965 +vt 0.123657 0.591933 +vt 0.120371 0.592492 +vt 0.120616 0.592274 +vt 0.121129 0.593603 +vt 0.120299 0.593634 +vt 0.119937 0.588366 +vt 0.119607 0.588807 +vt 0.117553 0.587753 +vt 0.118174 0.587072 +vt 0.120391 0.587868 +vt 0.119206 0.586462 +vt 0.119355 0.589272 +vt 0.117100 0.588442 +vt 0.123896 0.591269 +vt 0.121753 0.590512 +vt 0.120180 0.588077 +vt 0.118694 0.586670 +vt 0.121867 0.590039 +vt 0.124043 0.590555 +vt 0.119223 0.589739 +vt 0.116904 0.589119 +vt 0.117039 0.590681 +vt 0.116899 0.589864 +vt 0.119185 0.590233 +vt 0.119203 0.590743 +vt 0.122702 0.585520 +vt 0.852747 0.545283 +vt 0.855326 0.549664 +vt 0.878458 0.593835 +vt 0.881629 0.625917 +vt 0.850477 0.541324 +vt 0.844932 0.532490 +vt 0.843870 0.530149 +vt 0.842973 0.528279 +vt 0.842181 0.526498 +vt 0.841730 0.525313 +vt 0.491767 0.858633 +vt 0.485193 0.850176 +vt 0.503435 0.840623 +vt 0.510398 0.848891 +vt 0.520013 0.834484 +vt 0.525967 0.841650 +vt 0.531774 0.828387 +vt 0.538617 0.835771 +vt 0.542864 0.825026 +vt 0.548350 0.832788 +vt 0.551343 0.823323 +vt 0.555687 0.831297 +vt 0.561657 0.829973 +vt 0.557657 0.821619 +vt 0.563127 0.820587 +vt 0.566999 0.829214 +vt 0.568863 0.819224 +vt 0.572822 0.828307 +vt 0.575786 0.818181 +vt 0.579743 0.827495 +vt 0.584951 0.817227 +vt 0.587891 0.826409 +vt 0.477443 0.842310 +vt 0.495372 0.833251 +vt 0.510880 0.827996 +vt 0.522881 0.821965 +vt 0.534277 0.816826 +vt 0.543739 0.814007 +vt 0.551081 0.811847 +vt 0.557380 0.810138 +vt 0.563517 0.808793 +vt 0.571419 0.807559 +vt 0.580953 0.806761 +vt 0.469369 0.820570 +vt 0.448973 0.813543 +vt 0.474310 0.807020 +vt 0.487799 0.814528 +vt 0.492507 0.801274 +vt 0.502368 0.809061 +vt 0.506095 0.794025 +vt 0.514522 0.802595 +vt 0.518772 0.787688 +vt 0.525549 0.796789 +vt 0.534857 0.791419 +vt 0.529190 0.781576 +vt 0.539381 0.775454 +vt 0.542974 0.787721 +vt 0.551231 0.767216 +vt 0.550625 0.784703 +vt 0.561080 0.767989 +vt 0.560273 0.784213 +vt 0.574678 0.772143 +vt 0.575287 0.786111 +vt 0.422879 0.812879 +vt 0.402130 0.811900 +vt 0.402005 0.801690 +vt 0.421928 0.801090 +vt 0.442145 0.801399 +vt 0.464209 0.798129 +vt 0.483854 0.792261 +vt 0.499508 0.784420 +vt 0.513228 0.777824 +vt 0.524331 0.771641 +vt 0.535356 0.764859 +vt 0.547054 0.757072 +vt 0.558901 0.747728 +vt 0.562169 0.753051 +vt 0.568233 0.756018 +vt 0.577659 0.759602 +vt 0.389663 0.800979 +vt 0.389843 0.811051 +vt 0.436431 0.791511 +vt 0.456302 0.789362 +vt 0.476558 0.783581 +vt 0.493600 0.775892 +vt 0.507373 0.769215 +vt 0.519002 0.762613 +vt 0.530823 0.755981 +vt 0.543329 0.749528 +vt 0.573099 0.743727 +vt 0.577683 0.748014 +vt 0.431143 0.781530 +vt 0.449571 0.779949 +vt 0.470340 0.774102 +vt 0.487513 0.766452 +vt 0.500773 0.760089 +vt 0.512646 0.753505 +vt 0.525175 0.746939 +vt 0.538659 0.741441 +vt 0.552663 0.735350 +vt 0.556170 0.742222 +vt 0.427763 0.772737 +vt 0.444986 0.769955 +vt 0.465223 0.763512 +vt 0.481202 0.755606 +vt 0.493015 0.749659 +vt 0.504801 0.743627 +vt 0.518073 0.736461 +vt 0.532579 0.731269 +vt 0.548180 0.726121 +vt 0.389440 0.765129 +vt 0.389802 0.776475 +vt 0.424140 0.760037 +vt 0.440412 0.758363 +vt 0.460087 0.752407 +vt 0.473855 0.744378 +vt 0.483603 0.736985 +vt 0.494934 0.731681 +vt 0.509590 0.723519 +vt 0.525613 0.717640 +vt 0.542715 0.713378 +vt 0.386707 0.745493 +vt 0.389737 0.791304 +vt 0.443104 0.870535 +vt 0.451616 0.875106 +vt 0.497430 0.865612 +vt 0.515200 0.856433 +vt 0.530193 0.849030 +vt 0.543111 0.843636 +vt 0.551937 0.840790 +vt 0.558398 0.839153 +vt 0.564010 0.837859 +vt 0.569360 0.836907 +vt 0.575376 0.835759 +vt 0.581975 0.834892 +vt 0.589809 0.834837 +vt 0.401010 0.791926 +vt 0.394692 0.750475 +vt 0.397201 0.768079 +vt 0.437010 0.826969 +vt 0.418580 0.824726 +vt 0.399364 0.779261 +vt 0.402784 0.823324 +vt 0.453070 0.831184 +vt 0.405062 0.852895 +vt 0.414757 0.856262 +vt 0.395978 0.851835 +vt 0.424616 0.860941 +vt 0.474959 0.868548 +vt 0.466601 0.862102 +vt 0.459218 0.879958 +vt 0.465310 0.883480 +vt 0.490715 0.910563 +vt 0.493007 0.918966 +vt 0.497490 0.944530 +vt 0.498676 0.950945 +vt 0.487884 0.903630 +vt 0.499683 0.956178 +vt 0.496769 0.937236 +vt 0.483946 0.897718 +vt 0.472531 0.887771 +vt 0.478897 0.892732 +vt 0.495690 0.929347 +vt 0.494772 0.884166 +vt 0.498886 0.889523 +vt 0.504372 0.924107 +vt 0.504402 0.933204 +vt 0.488982 0.879130 +vt 0.503085 0.912699 +vt 0.502774 0.903252 +vt 0.501260 0.896055 +vt 0.504554 0.941205 +vt 0.505002 0.948783 +vt 0.505903 0.954843 +vt 0.512753 0.899039 +vt 0.512201 0.907926 +vt 0.512204 0.919288 +vt 0.511731 0.929450 +vt 0.504099 0.871015 +vt 0.508497 0.876945 +vt 0.511607 0.938536 +vt 0.511662 0.883237 +vt 0.511476 0.947285 +vt 0.512792 0.890750 +vt 0.458359 0.857885 +vt 0.412722 0.837644 +vt 0.424668 0.841004 +vt 0.401019 0.836272 +vt 0.436234 0.847386 +vt 0.482480 0.874128 +vt 0.385530 0.850719 +vt 0.389527 0.835724 +vt 0.390590 0.822631 +vt 0.416294 0.781917 +vt 0.419069 0.791681 +vt 0.412893 0.771751 +vt 0.409227 0.758673 +vt 0.517883 0.946783 +vt 0.517896 0.954552 +vt 0.511850 0.954370 +vt 0.522455 0.869624 +vt 0.523692 0.877606 +vt 0.518687 0.926688 +vt 0.518175 0.937001 +vt 0.523214 0.886514 +vt 0.521882 0.896045 +vt 0.520328 0.906235 +vt 0.519464 0.916621 +vt 0.519837 0.862617 +vt 0.530438 0.893834 +vt 0.528004 0.905627 +vt 0.526530 0.916394 +vt 0.525326 0.925995 +vt 0.534348 0.855873 +vt 0.536116 0.863414 +vt 0.523808 0.947680 +vt 0.523447 0.955185 +vt 0.535109 0.872772 +vt 0.524487 0.937415 +vt 0.532967 0.882642 +vt 0.535322 0.906539 +vt 0.539667 0.892190 +vt 0.544978 0.900041 +vt 0.541811 0.910581 +vt 0.605178 0.692159 +vt 0.599249 0.699316 +vt 0.593768 0.691813 +vt 0.600659 0.685655 +vt 0.550331 0.905797 +vt 0.547848 0.914650 +vt 0.613314 0.702481 +vt 0.608095 0.709724 +vt 0.603503 0.704464 +vt 0.609472 0.697208 +vt 0.533366 0.918172 +vt 0.539861 0.920865 +vt 0.611355 0.685835 +vt 0.606604 0.680131 +vt 0.546122 0.923380 +vt 0.618951 0.695962 +vt 0.615371 0.690506 +vt 0.532119 0.928981 +vt 0.538175 0.931768 +vt 0.616542 0.680972 +vt 0.611980 0.675535 +vt 0.543962 0.933922 +vt 0.623927 0.689793 +vt 0.620485 0.685571 +vt 0.530711 0.938797 +vt 0.537153 0.940438 +vt 0.621642 0.676273 +vt 0.617092 0.671106 +vt 0.542992 0.942097 +vt 0.628986 0.684607 +vt 0.625560 0.680603 +vt 0.529936 0.947867 +vt 0.536179 0.948791 +vt 0.627208 0.672051 +vt 0.622290 0.666424 +vt 0.542244 0.950080 +vt 0.634309 0.679482 +vt 0.631002 0.675935 +vt 0.529153 0.956092 +vt 0.535120 0.957217 +vt 0.633817 0.666495 +vt 0.628883 0.660616 +vt 0.540291 0.958300 +vt 0.640579 0.674153 +vt 0.637357 0.670501 +vt 0.546242 0.851677 +vt 0.545929 0.860479 +vt 0.544711 0.869244 +vt 0.541965 0.879025 +vt 0.567481 0.882926 +vt 0.572143 0.881600 +vt 0.572707 0.886460 +vt 0.568839 0.888133 +vt 0.554405 0.849193 +vt 0.553954 0.858011 +vt 0.597410 0.711209 +vt 0.590002 0.718624 +vt 0.583500 0.712006 +vt 0.591804 0.705615 +vt 0.552372 0.866323 +vt 0.577498 0.704652 +vt 0.585939 0.698584 +vt 0.549758 0.874785 +vt 0.561191 0.884493 +vt 0.562582 0.890226 +vt 0.589989 0.725074 +vt 0.579941 0.728431 +vt 0.577349 0.722899 +vt 0.599765 0.721115 +vt 0.597408 0.725397 +vt 0.560178 0.847464 +vt 0.560294 0.856134 +vt 0.572856 0.716135 +vt 0.558347 0.864312 +vt 0.567826 0.708151 +vt 0.556172 0.872120 +vt 0.554740 0.879925 +vt 0.548124 0.884074 +vt 0.555364 0.887193 +vt 0.549901 0.892042 +vt 0.595459 0.728901 +vt 0.589643 0.729346 +vt 0.581309 0.732778 +vt 0.565332 0.846097 +vt 0.565050 0.854732 +vt 0.563473 0.863008 +vt 0.561852 0.870608 +vt 0.560826 0.877823 +vt 0.572266 0.875913 +vt 0.566901 0.876610 +vt 0.594438 0.732563 +vt 0.589642 0.733983 +vt 0.582857 0.737541 +vt 0.576301 0.844306 +vt 0.575723 0.853052 +vt 0.570035 0.853698 +vt 0.570513 0.845082 +vt 0.568705 0.734746 +vt 0.570668 0.739406 +vt 0.574557 0.861308 +vt 0.568621 0.862058 +vt 0.573179 0.869023 +vt 0.567518 0.869639 +vt 0.579415 0.874439 +vt 0.578559 0.879595 +vt 0.594866 0.737158 +vt 0.591329 0.739673 +vt 0.586117 0.743662 +vt 0.582766 0.843784 +vt 0.582231 0.852755 +vt 0.581190 0.860988 +vt 0.580315 0.868246 +vt 0.588563 0.867288 +vt 0.588030 0.872998 +vt 0.587327 0.877600 +vt 0.597603 0.742561 +vt 0.595027 0.745831 +vt 0.591956 0.749346 +vt 0.590244 0.843379 +vt 0.589796 0.852227 +vt 0.583968 0.753595 +vt 0.589240 0.860385 +vt 0.562180 0.720759 +vt 0.566161 0.728660 +vt 0.558082 0.893374 +vt 0.578575 0.884064 +vt 0.586864 0.881576 +vt 0.603628 0.715855 +vt 0.557437 0.710656 +vt 0.553817 0.898439 +vt 0.602299 0.751620 +vt 0.599964 0.755372 +vt 0.599231 0.842656 +vt 0.598788 0.851146 +vt 0.596171 0.816281 +vt 0.598208 0.825509 +vt 0.595713 0.759923 +vt 0.596782 0.879713 +vt 0.597123 0.875763 +vt 0.598002 0.859220 +vt 0.594400 0.807596 +vt 0.597775 0.865815 +vt 0.599113 0.834660 +vt 0.597552 0.871413 +vt 0.590152 0.777971 +vt 0.591395 0.788799 +vt 0.604421 0.748998 +vt 0.592477 0.767366 +vt 0.612368 0.756752 +vt 0.610628 0.760202 +vt 0.608956 0.841818 +vt 0.608520 0.850117 +vt 0.607917 0.807441 +vt 0.607802 0.816150 +vt 0.609082 0.764704 +vt 0.607938 0.857840 +vt 0.607203 0.772162 +vt 0.607578 0.864437 +vt 0.608899 0.833502 +vt 0.607282 0.869624 +vt 0.605876 0.782459 +vt 0.605071 0.791348 +vt 0.606723 0.877854 +vt 0.606959 0.873784 +vt 0.613957 0.754124 +vt 0.608802 0.824327 +vt 0.620874 0.763493 +vt 0.619927 0.768221 +vt 0.618075 0.848905 +vt 0.617025 0.856507 +vt 0.618405 0.775600 +vt 0.616799 0.862541 +vt 0.618113 0.832494 +vt 0.618495 0.840429 +vt 0.616596 0.867690 +vt 0.617361 0.784359 +vt 0.618538 0.792813 +vt 0.615856 0.875458 +vt 0.616152 0.871475 +vt 0.623095 0.757185 +vt 0.621960 0.760097 +vt 0.618716 0.824130 +vt 0.619286 0.815691 +vt 0.620505 0.807941 +vt 0.628845 0.770058 +vt 0.628539 0.777465 +vt 0.625535 0.854712 +vt 0.625453 0.860412 +vt 0.626692 0.831794 +vt 0.626924 0.839307 +vt 0.625148 0.865238 +vt 0.629033 0.785772 +vt 0.629407 0.793872 +vt 0.624129 0.873233 +vt 0.624850 0.869062 +vt 0.630973 0.759222 +vt 0.630234 0.761962 +vt 0.627150 0.823839 +vt 0.628026 0.815164 +vt 0.629516 0.765160 +vt 0.626425 0.847036 +vt 0.628579 0.808286 +vt 0.435142 0.696282 +vt 0.434575 0.695189 +vt 0.435790 0.694914 +vt 0.435835 0.696122 +vt 0.437350 0.698929 +vt 0.438391 0.699751 +vt 0.437455 0.700489 +vt 0.436806 0.699347 +vt 0.436992 0.695074 +vt 0.436535 0.696209 +vt 0.436125 0.699535 +vt 0.436266 0.700829 +vt 0.438045 0.695638 +vt 0.437154 0.696541 +vt 0.435025 0.700702 +vt 0.435415 0.699452 +vt 0.438766 0.696527 +vt 0.437576 0.697060 +vt 0.434128 0.697937 +vt 0.432788 0.698039 +vt 0.432941 0.696876 +vt 0.434213 0.697267 +vt 0.433922 0.700124 +vt 0.434783 0.699120 +vt 0.439088 0.697611 +vt 0.437766 0.697694 +vt 0.433570 0.695879 +vt 0.434570 0.696684 +vt 0.434329 0.698590 +vt 0.433130 0.699177 +vt 0.438970 0.698737 +vt 0.437688 0.698352 +vt 0.433189 0.692842 +vt 0.435710 0.692293 +vt 0.441072 0.702207 +vt 0.439173 0.703791 +vt 0.438195 0.692650 +vt 0.436723 0.704564 +vt 0.440366 0.693800 +vt 0.434118 0.704333 +vt 0.441773 0.695629 +vt 0.429423 0.698756 +vt 0.429762 0.696326 +vt 0.431777 0.703139 +vt 0.442406 0.697814 +vt 0.431079 0.694263 +vt 0.430128 0.701159 +vt 0.442191 0.700104 +vt 0.442079 0.711853 +vt 0.436687 0.713549 +vt 0.439885 0.689600 +vt 0.444379 0.691905 +vt 0.430914 0.713219 +vt 0.447689 0.695360 +vt 0.420689 0.702022 +vt 0.421513 0.697069 +vt 0.425784 0.710831 +vt 0.448947 0.699601 +vt 0.424474 0.692890 +vt 0.422157 0.706951 +vt 0.448755 0.704197 +vt 0.429077 0.690110 +vt 0.446201 0.708448 +vt 0.434555 0.688700 +vt 0.449703 0.713440 +vt 0.453456 0.718656 +vt 0.446416 0.725977 +vt 0.444073 0.718055 +vt 0.433795 0.686231 +vt 0.432573 0.683537 +vt 0.442826 0.684231 +vt 0.441088 0.687212 +vt 0.436748 0.720524 +vt 0.437119 0.729704 +vt 0.452706 0.687709 +vt 0.448045 0.689844 +vt 0.426873 0.730246 +vt 0.428890 0.720201 +vt 0.458561 0.694613 +vt 0.451911 0.694913 +vt 0.414988 0.705114 +vt 0.407578 0.708546 +vt 0.408851 0.699863 +vt 0.416102 0.698346 +vt 0.416760 0.725898 +vt 0.421908 0.717059 +vt 0.460225 0.703323 +vt 0.454160 0.701443 +vt 0.413305 0.692280 +vt 0.420132 0.692603 +vt 0.417016 0.711763 +vt 0.409581 0.717877 +vt 0.458553 0.711372 +vt 0.453653 0.707743 +vt 0.421061 0.685837 +vt 0.425507 0.688421 +vt 0.450051 0.734028 +vt 0.437170 0.738944 +vt 0.445489 0.680656 +vt 0.457210 0.684958 +vt 0.424431 0.738833 +vt 0.466624 0.693746 +vt 0.398297 0.712900 +vt 0.400258 0.700915 +vt 0.412542 0.734452 +vt 0.467936 0.705393 +vt 0.407452 0.690362 +vt 0.401924 0.724467 +vt 0.467181 0.719014 +vt 0.416729 0.683326 +vt 0.459520 0.727222 +vt 0.431814 0.679444 +vt 0.466548 0.735458 +vt 0.455441 0.742885 +vt 0.431136 0.674209 +vt 0.450779 0.674186 +vt 0.437570 0.750222 +vt 0.465568 0.681199 +vt 0.423876 0.750077 +vt 0.476154 0.692600 +vt 0.390058 0.715843 +vt 0.391780 0.700475 +vt 0.409908 0.744644 +vt 0.476513 0.708186 +vt 0.400667 0.686699 +vt 0.393498 0.731323 +vt 0.475135 0.725501 +vt 0.413328 0.678947 +vt 0.386565 0.730693 +vt 0.386228 0.715137 +vt 0.388005 0.699350 +vt 0.391421 0.685893 +vt 0.490839 0.717656 +vt 0.503988 0.710465 +vt 0.627091 0.039200 +vt 0.629108 0.039109 +vt 0.629743 0.040564 +vt 0.627482 0.040721 +vt 0.636560 0.036706 +vt 0.638292 0.035812 +vt 0.638687 0.036830 +vt 0.636749 0.037949 +vt 0.632038 0.038521 +vt 0.634611 0.037456 +vt 0.634809 0.038958 +vt 0.632573 0.039940 +vt 0.635637 0.047598 +vt 0.639472 0.046821 +vt 0.640285 0.049070 +vt 0.636402 0.049599 +vt 0.629909 0.048832 +vt 0.632467 0.048088 +vt 0.633093 0.050032 +vt 0.630492 0.050376 +vt 0.642058 0.045489 +vt 0.644450 0.043711 +vt 0.647084 0.043640 +vt 0.644806 0.047441 +vt 0.623286 0.029932 +vt 0.625669 0.029626 +vt 0.627216 0.033335 +vt 0.624693 0.033826 +vt 0.632209 0.027009 +vt 0.633947 0.025986 +vt 0.636028 0.029699 +vt 0.633977 0.030418 +vt 0.627949 0.028954 +vt 0.630102 0.028069 +vt 0.631866 0.031451 +vt 0.629497 0.032625 +vt 0.734784 0.160273 +vt 0.738464 0.160283 +vt 0.738259 0.162144 +vt 0.734709 0.161810 +vt 0.633090 0.041273 +vt 0.635564 0.040509 +vt 0.730058 0.159728 +vt 0.731072 0.160023 +vt 0.730536 0.161666 +vt 0.729383 0.161466 +vt 0.722393 0.157247 +vt 0.724286 0.157649 +vt 0.724259 0.159660 +vt 0.722597 0.159257 +vt 0.642839 0.039602 +vt 0.644605 0.041488 +vt 0.643051 0.043098 +vt 0.641067 0.041185 +vt 0.635668 0.024767 +vt 0.637802 0.028860 +vt 0.645870 0.041840 +vt 0.648210 0.041195 +vt 0.640445 0.034413 +vt 0.640933 0.035443 +vt 0.622759 0.037521 +vt 0.621615 0.034231 +vt 0.623187 0.034036 +vt 0.624028 0.036954 +vt 0.625340 0.049670 +vt 0.625247 0.047939 +vt 0.627189 0.047479 +vt 0.627440 0.049170 +vt 0.626904 0.045286 +vt 0.625251 0.045609 +vt 0.627825 0.042028 +vt 0.630102 0.041834 +vt 0.637360 0.039602 +vt 0.639439 0.038499 +vt 0.630234 0.022829 +vt 0.628264 0.024032 +vt 0.627861 0.022806 +vt 0.629546 0.021109 +vt 0.626485 0.025014 +vt 0.624260 0.025528 +vt 0.624078 0.024506 +vt 0.626196 0.024020 +vt 0.754079 0.162084 +vt 0.752525 0.163509 +vt 0.749633 0.163187 +vt 0.750619 0.162358 +vt 0.621506 0.025967 +vt 0.620093 0.025751 +vt 0.619718 0.023908 +vt 0.621351 0.024459 +vt 0.621595 0.023076 +vt 0.619994 0.021628 +vt 0.620382 0.019326 +vt 0.621851 0.021661 +vt 0.620250 0.016265 +vt 0.620807 0.018631 +vt 0.619528 0.016864 +vt 0.629173 0.015644 +vt 0.629153 0.017803 +vt 0.627320 0.016793 +vt 0.626732 0.014545 +vt 0.757375 0.162402 +vt 0.756646 0.163332 +vt 0.755741 0.163128 +vt 0.756482 0.162185 +vt 0.628300 0.019826 +vt 0.627271 0.021855 +vt 0.626892 0.021220 +vt 0.627504 0.019051 +vt 0.758727 0.158297 +vt 0.758618 0.159997 +vt 0.757792 0.159960 +vt 0.758237 0.158148 +vt 0.625776 0.023102 +vt 0.623912 0.023466 +vt 0.623622 0.022436 +vt 0.625361 0.022236 +vt 0.625130 0.021624 +vt 0.626536 0.020425 +vt 0.623291 0.021582 +vt 0.736218 0.151803 +vt 0.739677 0.153077 +vt 0.738828 0.155636 +vt 0.735750 0.154657 +vt 0.731354 0.150738 +vt 0.732904 0.150917 +vt 0.732658 0.154047 +vt 0.731329 0.153584 +vt 0.722984 0.147823 +vt 0.725041 0.148854 +vt 0.724585 0.151787 +vt 0.722811 0.151229 +vt 0.755609 0.159762 +vt 0.756273 0.157819 +vt 0.626828 0.018494 +vt 0.626566 0.016438 +vt 0.625974 0.014278 +vt 0.618994 0.020311 +vt 0.621957 0.020528 +vt 0.753890 0.157374 +vt 0.753614 0.159384 +vt 0.750295 0.158578 +vt 0.750699 0.156473 +vt 0.618738 0.023364 +vt 0.619016 0.025342 +vt 0.747609 0.163016 +vt 0.748430 0.161991 +vt 0.631379 0.017628 +vt 0.630595 0.019462 +vt 0.630865 0.024036 +vt 0.628626 0.025021 +vt 0.626788 0.025883 +vt 0.624567 0.026508 +vt 0.747465 0.155712 +vt 0.747006 0.157791 +vt 0.745386 0.157436 +vt 0.745860 0.155200 +vt 0.634968 0.045880 +vt 0.634054 0.043806 +vt 0.636796 0.042963 +vt 0.638415 0.045371 +vt 0.726912 0.158518 +vt 0.726416 0.160457 +vt 0.641573 0.036993 +vt 0.626308 0.042243 +vt 0.624842 0.042475 +vt 0.629239 0.047052 +vt 0.628712 0.045064 +vt 0.630995 0.044664 +vt 0.631762 0.046395 +vt 0.640448 0.044673 +vt 0.638768 0.042255 +vt 0.728286 0.149688 +vt 0.727799 0.152806 +vt 0.630590 0.035069 +vt 0.633407 0.034322 +vt 0.634104 0.035971 +vt 0.631435 0.036899 +vt 0.634151 0.021845 +vt 0.632729 0.022955 +vt 0.631841 0.021088 +vt 0.633029 0.019746 +vt 0.635610 0.033787 +vt 0.637345 0.033167 +vt 0.637914 0.034609 +vt 0.636176 0.035232 +vt 0.745683 0.161483 +vt 0.745390 0.162632 +vt 0.744058 0.162620 +vt 0.744305 0.161425 +vt 0.620309 0.029508 +vt 0.619987 0.028717 +vt 0.621004 0.028516 +vt 0.621436 0.029319 +vt 0.732265 0.160175 +vt 0.733351 0.160281 +vt 0.733142 0.161818 +vt 0.731949 0.161671 +vt 0.733879 0.151099 +vt 0.735035 0.151528 +vt 0.734674 0.154482 +vt 0.733611 0.154366 +vt 0.628106 0.035751 +vt 0.628689 0.037478 +vt 0.625737 0.036395 +vt 0.626516 0.037938 +vt 0.639541 0.031916 +vt 0.640119 0.033354 +vt 0.623853 0.040045 +vt 0.623441 0.038915 +vt 0.624907 0.038496 +vt 0.625521 0.039624 +vt 0.621828 0.027399 +vt 0.620563 0.027530 +vt 0.744903 0.154885 +vt 0.744405 0.157123 +vt 0.743425 0.161398 +vt 0.743205 0.162596 +vt 0.619456 0.027506 +vt 0.624493 0.041337 +vt 0.626003 0.041017 +vt 0.622674 0.029016 +vt 0.625202 0.028313 +vt 0.631724 0.025973 +vt 0.633555 0.024988 +vt 0.627445 0.027572 +vt 0.629385 0.026853 +vt 0.635234 0.024050 +vt 0.620621 0.030410 +vt 0.621848 0.030291 +vt 0.743933 0.154614 +vt 0.743460 0.156839 +vt 0.742457 0.161343 +vt 0.742248 0.162550 +vt 0.622189 0.028169 +vt 0.624862 0.027329 +vt 0.631349 0.025042 +vt 0.633205 0.024074 +vt 0.627064 0.026700 +vt 0.628975 0.025906 +vt 0.634869 0.023238 +vt 0.738621 0.157865 +vt 0.735433 0.157731 +vt 0.731781 0.157467 +vt 0.730716 0.157007 +vt 0.724602 0.155013 +vt 0.722439 0.154379 +vt 0.754974 0.161122 +vt 0.752411 0.160743 +vt 0.757884 0.161713 +vt 0.757192 0.161372 +vt 0.749553 0.160113 +vt 0.727325 0.156239 +vt 0.746693 0.159331 +vt 0.744990 0.159338 +vt 0.734030 0.157684 +vt 0.732884 0.157682 +vt 0.743833 0.159244 +vt 0.742845 0.158929 +vt 0.728667 0.147278 +vt 0.731538 0.148427 +vt 0.723865 0.145696 +vt 0.725504 0.146411 +vt 0.745173 0.153436 +vt 0.746029 0.153715 +vt 0.758233 0.157270 +vt 0.756226 0.156338 +vt 0.733122 0.148978 +vt 0.734118 0.149466 +vt 0.739798 0.151449 +vt 0.744293 0.153172 +vt 0.753355 0.155560 +vt 0.750590 0.155144 +vt 0.736554 0.150246 +vt 0.735182 0.149791 +vt 0.758693 0.157187 +vt 0.747492 0.154219 +vt 0.624248 0.013809 +vt 0.622583 0.014017 +vt 0.622409 0.013414 +vt 0.624239 0.013173 +vt 0.624824 0.021156 +vt 0.626156 0.020154 +vt 0.620766 0.014391 +vt 0.621314 0.014799 +vt 0.626476 0.018350 +vt 0.620774 0.016069 +vt 0.621207 0.018129 +vt 0.625949 0.016295 +vt 0.625336 0.014441 +vt 0.625388 0.013580 +vt 0.624995 0.013984 +vt 0.622075 0.020198 +vt 0.620929 0.015321 +vt 0.620278 0.015064 +vt 0.623424 0.021097 +vt 0.623001 0.015261 +vt 0.622860 0.014664 +vt 0.623590 0.016954 +vt 0.624054 0.018352 +vt 0.665061 0.034099 +vt 0.666297 0.034872 +vt 0.665668 0.036498 +vt 0.664301 0.035563 +vt 0.672778 0.038432 +vt 0.675139 0.039210 +vt 0.674749 0.040633 +vt 0.672260 0.040063 +vt 0.668689 0.036374 +vt 0.671112 0.037371 +vt 0.670339 0.039311 +vt 0.667985 0.038116 +vt 0.662141 0.050479 +vt 0.665892 0.051645 +vt 0.665595 0.055351 +vt 0.661431 0.052540 +vt 0.655717 0.044775 +vt 0.658459 0.047463 +vt 0.656550 0.050542 +vt 0.650581 0.047647 +vt 0.670127 0.051897 +vt 0.673276 0.051958 +vt 0.674206 0.055066 +vt 0.671342 0.057663 +vt 0.670637 0.023398 +vt 0.671602 0.023898 +vt 0.669966 0.027309 +vt 0.668384 0.026410 +vt 0.677957 0.027263 +vt 0.679527 0.027759 +vt 0.678594 0.031337 +vt 0.676762 0.030817 +vt 0.673864 0.025674 +vt 0.676093 0.026685 +vt 0.674412 0.030080 +vt 0.672228 0.029112 +vt 0.742086 0.132613 +vt 0.745512 0.131200 +vt 0.745879 0.133035 +vt 0.742538 0.134423 +vt 0.667116 0.039829 +vt 0.669665 0.040998 +vt 0.734752 0.135123 +vt 0.735938 0.134771 +vt 0.736434 0.136807 +vt 0.735293 0.137188 +vt 0.723607 0.137234 +vt 0.726615 0.136101 +vt 0.727584 0.137928 +vt 0.725378 0.139106 +vt 0.675983 0.047190 +vt 0.675837 0.049041 +vt 0.673265 0.048678 +vt 0.673499 0.046957 +vt 0.681735 0.028300 +vt 0.681105 0.031953 +vt 0.676017 0.052078 +vt 0.676773 0.053832 +vt 0.677138 0.039906 +vt 0.676738 0.041063 +vt 0.664300 0.028021 +vt 0.665790 0.024731 +vt 0.667071 0.025778 +vt 0.665488 0.028663 +vt 0.652849 0.040497 +vt 0.654891 0.039278 +vt 0.656560 0.040701 +vt 0.653944 0.042215 +vt 0.658335 0.039506 +vt 0.656831 0.038162 +vt 0.663504 0.036914 +vt 0.664725 0.037919 +vt 0.671973 0.041593 +vt 0.674250 0.042024 +vt 0.679742 0.022757 +vt 0.677844 0.022279 +vt 0.678481 0.021023 +vt 0.680128 0.021076 +vt 0.675891 0.021469 +vt 0.673968 0.020251 +vt 0.674625 0.019117 +vt 0.676455 0.020332 +vt 0.760331 0.126737 +vt 0.760437 0.128488 +vt 0.757716 0.129993 +vt 0.757936 0.127661 +vt 0.672903 0.019414 +vt 0.671980 0.018255 +vt 0.673195 0.016717 +vt 0.673753 0.018061 +vt 0.674393 0.017019 +vt 0.674233 0.015196 +vt 0.675647 0.014141 +vt 0.675044 0.016107 +vt 0.677162 0.012307 +vt 0.676030 0.013993 +vt 0.676525 0.012197 +vt 0.683336 0.017544 +vt 0.681573 0.019085 +vt 0.681391 0.017680 +vt 0.682989 0.015426 +vt 0.762953 0.125908 +vt 0.763001 0.127457 +vt 0.762350 0.127709 +vt 0.762349 0.125827 +vt 0.680233 0.019993 +vt 0.678630 0.020360 +vt 0.678827 0.019652 +vt 0.680362 0.019006 +vt 0.762131 0.121377 +vt 0.762724 0.122927 +vt 0.761947 0.123153 +vt 0.761263 0.121761 +vt 0.676647 0.019895 +vt 0.675059 0.018599 +vt 0.675520 0.017782 +vt 0.676946 0.019247 +vt 0.677254 0.018593 +vt 0.678763 0.018921 +vt 0.675996 0.017209 +vt 0.740501 0.125952 +vt 0.743819 0.125369 +vt 0.744362 0.127452 +vt 0.741135 0.128350 +vt 0.732683 0.127104 +vt 0.733845 0.126701 +vt 0.734464 0.129920 +vt 0.733234 0.130148 +vt 0.720308 0.128032 +vt 0.724710 0.128369 +vt 0.725211 0.131291 +vt 0.720556 0.132028 +vt 0.760056 0.123777 +vt 0.759499 0.122360 +vt 0.680046 0.018524 +vt 0.681345 0.016878 +vt 0.682317 0.014821 +vt 0.674646 0.012596 +vt 0.675576 0.015760 +vt 0.756802 0.122720 +vt 0.757591 0.124397 +vt 0.754327 0.125160 +vt 0.753630 0.123185 +vt 0.672700 0.014917 +vt 0.671151 0.017290 +vt 0.755003 0.131067 +vt 0.754887 0.129246 +vt 0.683729 0.019878 +vt 0.681601 0.020731 +vt 0.679288 0.024049 +vt 0.677524 0.023322 +vt 0.675467 0.022260 +vt 0.673389 0.021020 +vt 0.751151 0.123855 +vt 0.751731 0.125776 +vt 0.750415 0.126130 +vt 0.749831 0.124098 +vt 0.663512 0.047026 +vt 0.664890 0.044272 +vt 0.667686 0.045684 +vt 0.666807 0.048435 +vt 0.729345 0.135875 +vt 0.729946 0.137593 +vt 0.676475 0.042299 +vt 0.662138 0.035873 +vt 0.660883 0.034930 +vt 0.658427 0.042342 +vt 0.660033 0.040928 +vt 0.661998 0.042278 +vt 0.660727 0.044715 +vt 0.670156 0.048759 +vt 0.670618 0.046468 +vt 0.727258 0.127874 +vt 0.727774 0.131141 +vt 0.670862 0.031808 +vt 0.672991 0.032833 +vt 0.672055 0.034969 +vt 0.669892 0.033782 +vt 0.682834 0.025054 +vt 0.680748 0.024607 +vt 0.681231 0.023032 +vt 0.683301 0.023026 +vt 0.675292 0.033884 +vt 0.677066 0.034640 +vt 0.675860 0.037197 +vt 0.674083 0.036093 +vt 0.752679 0.129903 +vt 0.753068 0.131792 +vt 0.751848 0.131938 +vt 0.751501 0.130220 +vt 0.668835 0.020880 +vt 0.669449 0.019993 +vt 0.670584 0.020546 +vt 0.669901 0.021658 +vt 0.737191 0.134537 +vt 0.738959 0.133890 +vt 0.739767 0.135871 +vt 0.737654 0.136456 +vt 0.735133 0.126729 +vt 0.737036 0.126523 +vt 0.737475 0.129407 +vt 0.735839 0.129667 +vt 0.668400 0.030498 +vt 0.667580 0.032657 +vt 0.666871 0.029591 +vt 0.666052 0.031846 +vt 0.679800 0.035124 +vt 0.677938 0.037945 +vt 0.662206 0.032869 +vt 0.663307 0.030970 +vt 0.664549 0.031474 +vt 0.663633 0.033452 +vt 0.672309 0.020325 +vt 0.671137 0.019657 +vt 0.748758 0.124284 +vt 0.749269 0.126421 +vt 0.750268 0.130618 +vt 0.750777 0.132130 +vt 0.670215 0.019061 +vt 0.661544 0.033953 +vt 0.662884 0.034697 +vt 0.671167 0.022204 +vt 0.672167 0.022713 +vt 0.678479 0.026071 +vt 0.679950 0.026631 +vt 0.674474 0.024492 +vt 0.676699 0.025454 +vt 0.682065 0.027218 +vt 0.668319 0.021811 +vt 0.669279 0.022602 +vt 0.747599 0.124441 +vt 0.748104 0.126656 +vt 0.749231 0.130962 +vt 0.749753 0.132442 +vt 0.671844 0.021323 +vt 0.672796 0.021636 +vt 0.678930 0.024980 +vt 0.680381 0.025557 +vt 0.675040 0.023221 +vt 0.677288 0.024259 +vt 0.682487 0.026193 +vt 0.745039 0.129394 +vt 0.741701 0.130702 +vt 0.735453 0.132990 +vt 0.734256 0.133320 +vt 0.726139 0.134456 +vt 0.721457 0.135241 +vt 0.760317 0.125402 +vt 0.757915 0.126087 +vt 0.763001 0.124585 +vt 0.762338 0.124895 +vt 0.754715 0.127303 +vt 0.728751 0.134089 +vt 0.752327 0.127923 +vt 0.750996 0.128321 +vt 0.738155 0.131988 +vt 0.736808 0.132666 +vt 0.749898 0.128647 +vt 0.748710 0.129094 +vt 0.727149 0.125262 +vt 0.732105 0.124305 +vt 0.721084 0.125744 +vt 0.724936 0.125606 +vt 0.748202 0.122412 +vt 0.749361 0.122244 +vt 0.760704 0.120593 +vt 0.759181 0.120985 +vt 0.733436 0.124084 +vt 0.734673 0.124099 +vt 0.743505 0.123428 +vt 0.747060 0.122519 +vt 0.756556 0.121537 +vt 0.752938 0.121575 +vt 0.740077 0.123825 +vt 0.736756 0.123877 +vt 0.761719 0.120506 +vt 0.750606 0.122035 +vt 0.681842 0.012809 +vt 0.680747 0.012061 +vt 0.681056 0.011570 +vt 0.682244 0.012771 +vt 0.677370 0.018196 +vt 0.678724 0.018647 +vt 0.679422 0.011054 +vt 0.679682 0.011627 +vt 0.679973 0.018114 +vt 0.677843 0.012244 +vt 0.676733 0.013974 +vt 0.681019 0.016316 +vt 0.682002 0.014523 +vt 0.682446 0.013655 +vt 0.682071 0.013488 +vt 0.675936 0.015695 +vt 0.678575 0.011630 +vt 0.678126 0.011177 +vt 0.676235 0.017068 +vt 0.679935 0.013367 +vt 0.680464 0.012562 +vt 0.679008 0.015106 +vt 0.678193 0.016639 +vt 0.688281 0.056568 +vt 0.689613 0.058438 +vt 0.688514 0.058904 +vt 0.687541 0.057227 +vt 0.693689 0.063054 +vt 0.694878 0.064184 +vt 0.693881 0.064949 +vt 0.692715 0.063893 +vt 0.691205 0.060375 +vt 0.692648 0.061863 +vt 0.691519 0.062777 +vt 0.689982 0.061131 +vt 0.681170 0.066804 +vt 0.682846 0.069576 +vt 0.681118 0.071834 +vt 0.679114 0.068247 +vt 0.678894 0.060028 +vt 0.679755 0.063224 +vt 0.676821 0.063943 +vt 0.674472 0.059750 +vt 0.685357 0.072126 +vt 0.688867 0.073902 +vt 0.689685 0.077467 +vt 0.682035 0.076685 +vt 0.698508 0.049847 +vt 0.699224 0.051081 +vt 0.695604 0.053812 +vt 0.694689 0.052572 +vt 0.702806 0.056103 +vt 0.703695 0.056899 +vt 0.700495 0.059604 +vt 0.699505 0.058582 +vt 0.700743 0.053615 +vt 0.701863 0.055258 +vt 0.698563 0.057621 +vt 0.697069 0.055988 +vt 0.728559 0.112790 +vt 0.733043 0.109512 +vt 0.733884 0.110913 +vt 0.729574 0.114235 +vt 0.688756 0.061870 +vt 0.690350 0.063624 +vt 0.724860 0.115660 +vt 0.725866 0.114975 +vt 0.727076 0.116537 +vt 0.726198 0.117395 +vt 0.719048 0.119786 +vt 0.720250 0.118737 +vt 0.721820 0.120161 +vt 0.720270 0.120738 +vt 0.692189 0.070471 +vt 0.691548 0.071947 +vt 0.689371 0.071045 +vt 0.690289 0.069105 +vt 0.705299 0.058116 +vt 0.702148 0.061059 +vt 0.691170 0.074454 +vt 0.692253 0.076725 +vt 0.696421 0.065879 +vt 0.695501 0.066429 +vt 0.688870 0.052360 +vt 0.693175 0.049498 +vt 0.694044 0.051109 +vt 0.689783 0.053783 +vt 0.678983 0.054843 +vt 0.680360 0.055592 +vt 0.680367 0.057561 +vt 0.678718 0.056943 +vt 0.682224 0.057645 +vt 0.681661 0.055734 +vt 0.686416 0.057933 +vt 0.687326 0.059544 +vt 0.691460 0.065014 +vt 0.692636 0.065988 +vt 0.707363 0.052327 +vt 0.706251 0.051543 +vt 0.707247 0.050465 +vt 0.708714 0.050893 +vt 0.704792 0.050237 +vt 0.703558 0.048467 +vt 0.704744 0.047629 +vt 0.705704 0.049419 +vt 0.747475 0.098247 +vt 0.748022 0.099990 +vt 0.745600 0.102117 +vt 0.745092 0.100454 +vt 0.702820 0.046807 +vt 0.702384 0.045119 +vt 0.704742 0.043993 +vt 0.704459 0.045820 +vt 0.706213 0.044961 +vt 0.706969 0.042698 +vt 0.708910 0.042622 +vt 0.707295 0.044416 +vt 0.711175 0.041629 +vt 0.709548 0.042687 +vt 0.710316 0.041038 +vt 0.713690 0.049445 +vt 0.711856 0.049676 +vt 0.712835 0.048168 +vt 0.714462 0.047055 +vt 0.750116 0.095675 +vt 0.750695 0.097045 +vt 0.749934 0.097889 +vt 0.749178 0.096550 +vt 0.710244 0.049674 +vt 0.708235 0.049759 +vt 0.708704 0.049252 +vt 0.710877 0.048901 +vt 0.748256 0.092369 +vt 0.749020 0.093574 +vt 0.748025 0.094300 +vt 0.747325 0.092924 +vt 0.706518 0.048765 +vt 0.705825 0.046854 +vt 0.706544 0.046365 +vt 0.707127 0.048256 +vt 0.707553 0.047833 +vt 0.709066 0.048728 +vt 0.707093 0.046054 +vt 0.723202 0.106054 +vt 0.728658 0.103069 +vt 0.730076 0.105461 +vt 0.724794 0.108687 +vt 0.719592 0.108075 +vt 0.720360 0.107470 +vt 0.722178 0.110371 +vt 0.721116 0.110774 +vt 0.712234 0.111866 +vt 0.714322 0.111289 +vt 0.715907 0.114605 +vt 0.714543 0.115542 +vt 0.746006 0.095742 +vt 0.745123 0.094432 +vt 0.711051 0.048386 +vt 0.712912 0.047298 +vt 0.714038 0.046191 +vt 0.707695 0.040915 +vt 0.707925 0.044250 +vt 0.742611 0.095685 +vt 0.743515 0.097312 +vt 0.740211 0.099173 +vt 0.739173 0.097440 +vt 0.704819 0.041974 +vt 0.701989 0.043535 +vt 0.742964 0.104274 +vt 0.742340 0.102839 +vt 0.712153 0.051355 +vt 0.710306 0.051048 +vt 0.706210 0.053559 +vt 0.705226 0.052321 +vt 0.703918 0.050930 +vt 0.702519 0.049054 +vt 0.735896 0.098831 +vt 0.737110 0.100811 +vt 0.735780 0.101590 +vt 0.734758 0.099501 +vt 0.682750 0.065452 +vt 0.684733 0.064372 +vt 0.686723 0.066359 +vt 0.684676 0.068087 +vt 0.721422 0.117810 +vt 0.723045 0.119532 +vt 0.694494 0.067459 +vt 0.685942 0.056530 +vt 0.685181 0.054846 +vt 0.680577 0.059871 +vt 0.682561 0.059527 +vt 0.683343 0.061532 +vt 0.681193 0.062339 +vt 0.687096 0.070108 +vt 0.688908 0.068118 +vt 0.715929 0.110387 +vt 0.717246 0.113583 +vt 0.693495 0.058780 +vt 0.694934 0.060247 +vt 0.693711 0.061036 +vt 0.692343 0.059585 +vt 0.708239 0.055939 +vt 0.707045 0.054439 +vt 0.708507 0.053077 +vt 0.709818 0.054078 +vt 0.696031 0.061434 +vt 0.697045 0.062720 +vt 0.695924 0.063395 +vt 0.694819 0.062179 +vt 0.740152 0.104282 +vt 0.741039 0.105544 +vt 0.739991 0.106356 +vt 0.738958 0.105085 +vt 0.698214 0.046146 +vt 0.699125 0.045390 +vt 0.700067 0.046808 +vt 0.699130 0.047607 +vt 0.726560 0.114530 +vt 0.727589 0.113700 +vt 0.728715 0.115147 +vt 0.727735 0.115991 +vt 0.721025 0.107050 +vt 0.722128 0.106419 +vt 0.723998 0.109179 +vt 0.722941 0.110035 +vt 0.691880 0.056831 +vt 0.690765 0.057780 +vt 0.690547 0.055101 +vt 0.689207 0.055912 +vt 0.698164 0.064545 +vt 0.697445 0.065197 +vt 0.686897 0.053825 +vt 0.687948 0.053142 +vt 0.688726 0.054652 +vt 0.687782 0.055315 +vt 0.701679 0.047625 +vt 0.700988 0.046095 +vt 0.733905 0.100192 +vt 0.734996 0.102078 +vt 0.737997 0.105910 +vt 0.739043 0.107166 +vt 0.700110 0.044626 +vt 0.686181 0.054229 +vt 0.687022 0.055848 +vt 0.699717 0.048948 +vt 0.700464 0.050259 +vt 0.704099 0.055120 +vt 0.704924 0.056014 +vt 0.701913 0.052513 +vt 0.703349 0.054095 +vt 0.706457 0.057310 +vt 0.696999 0.047104 +vt 0.697882 0.048576 +vt 0.732730 0.100816 +vt 0.733781 0.102855 +vt 0.736840 0.106898 +vt 0.737824 0.108264 +vt 0.700746 0.048210 +vt 0.701621 0.049574 +vt 0.705249 0.054286 +vt 0.706029 0.055275 +vt 0.703042 0.051622 +vt 0.704284 0.053055 +vt 0.707367 0.056750 +vt 0.731566 0.107516 +vt 0.726869 0.111125 +vt 0.724283 0.113089 +vt 0.723211 0.113626 +vt 0.718293 0.117220 +vt 0.717358 0.118262 +vt 0.746847 0.097111 +vt 0.744314 0.098995 +vt 0.749721 0.094889 +vt 0.748781 0.095672 +vt 0.741311 0.100993 +vt 0.719478 0.116074 +vt 0.738605 0.102826 +vt 0.737394 0.103630 +vt 0.725991 0.111856 +vt 0.725011 0.112755 +vt 0.736539 0.104167 +vt 0.735157 0.104816 +vt 0.715191 0.107932 +vt 0.718608 0.105863 +vt 0.711508 0.109690 +vt 0.713573 0.108919 +vt 0.733313 0.098667 +vt 0.734372 0.098373 +vt 0.746561 0.092039 +vt 0.744408 0.093594 +vt 0.719695 0.105107 +vt 0.720452 0.104982 +vt 0.727877 0.101364 +vt 0.731809 0.099102 +vt 0.741886 0.094568 +vt 0.738482 0.096358 +vt 0.722329 0.104158 +vt 0.721409 0.104662 +vt 0.747517 0.091606 +vt 0.735452 0.097721 +vt 0.714139 0.043973 +vt 0.713603 0.043108 +vt 0.714169 0.042678 +vt 0.714799 0.043857 +vt 0.708025 0.047390 +vt 0.709243 0.048368 +vt 0.713239 0.041688 +vt 0.712869 0.042270 +vt 0.710963 0.047982 +vt 0.711025 0.042305 +vt 0.709792 0.043039 +vt 0.712642 0.046858 +vt 0.713613 0.045686 +vt 0.714819 0.044847 +vt 0.714059 0.044640 +vt 0.708253 0.044490 +vt 0.712136 0.042177 +vt 0.712496 0.041433 +vt 0.707465 0.045948 +vt 0.712292 0.044120 +vt 0.712970 0.043572 +vt 0.711389 0.044815 +vt 0.709918 0.045967 +vt 0.699459 0.082693 +vt 0.699616 0.084752 +vt 0.698228 0.085163 +vt 0.698121 0.082911 +vt 0.701431 0.089123 +vt 0.702918 0.091015 +vt 0.701698 0.091650 +vt 0.700007 0.089593 +vt 0.699877 0.086430 +vt 0.700490 0.087957 +vt 0.699231 0.088398 +vt 0.698507 0.086884 +vt 0.689066 0.088896 +vt 0.690338 0.091008 +vt 0.687361 0.091960 +vt 0.686379 0.089642 +vt 0.688577 0.083135 +vt 0.688189 0.086706 +vt 0.685471 0.087048 +vt 0.685187 0.082429 +vt 0.692096 0.093127 +vt 0.694424 0.095652 +vt 0.692395 0.097333 +vt 0.689091 0.093945 +vt 0.706313 0.081097 +vt 0.706550 0.082609 +vt 0.704793 0.083267 +vt 0.704421 0.081443 +vt 0.708077 0.086780 +vt 0.708934 0.088190 +vt 0.707117 0.089154 +vt 0.706069 0.087631 +vt 0.706776 0.084180 +vt 0.707372 0.085648 +vt 0.705484 0.086344 +vt 0.704972 0.084814 +vt 0.711671 0.098448 +vt 0.713012 0.097091 +vt 0.714258 0.098687 +vt 0.713021 0.099826 +vt 0.697274 0.087080 +vt 0.698139 0.088824 +vt 0.708039 0.102034 +vt 0.708963 0.101113 +vt 0.710628 0.102884 +vt 0.710042 0.103929 +vt 0.705839 0.107472 +vt 0.705585 0.106075 +vt 0.708022 0.107327 +vt 0.708155 0.107860 +vt 0.699123 0.095998 +vt 0.697948 0.096974 +vt 0.696245 0.094775 +vt 0.697646 0.093937 +vt 0.709790 0.089251 +vt 0.708089 0.090436 +vt 0.696612 0.097852 +vt 0.694965 0.099709 +vt 0.704219 0.092726 +vt 0.703041 0.093506 +vt 0.702253 0.078483 +vt 0.703933 0.078359 +vt 0.704072 0.079764 +vt 0.702306 0.080089 +vt 0.692738 0.078665 +vt 0.693252 0.078579 +vt 0.692518 0.080260 +vt 0.691314 0.080556 +vt 0.693965 0.080356 +vt 0.694498 0.078604 +vt 0.696777 0.083162 +vt 0.696902 0.085290 +vt 0.698947 0.090028 +vt 0.700445 0.092255 +vt 0.712488 0.085366 +vt 0.711859 0.084324 +vt 0.713101 0.083920 +vt 0.714033 0.084957 +vt 0.711215 0.082957 +vt 0.710921 0.081457 +vt 0.711955 0.081059 +vt 0.712419 0.082644 +vt 0.721429 0.088768 +vt 0.721914 0.090108 +vt 0.720711 0.091766 +vt 0.719941 0.090148 +vt 0.710639 0.080095 +vt 0.710800 0.078662 +vt 0.712543 0.078536 +vt 0.711980 0.079707 +vt 0.713300 0.079655 +vt 0.714168 0.078533 +vt 0.715325 0.079003 +vt 0.714208 0.079737 +vt 0.716694 0.079266 +vt 0.715690 0.079445 +vt 0.716542 0.078741 +vt 0.717111 0.084830 +vt 0.716150 0.084633 +vt 0.716840 0.083960 +vt 0.717843 0.083925 +vt 0.717689 0.079538 +vt 0.717762 0.078959 +vt 0.715011 0.084278 +vt 0.714093 0.083540 +vt 0.714697 0.083273 +vt 0.715636 0.083802 +vt 0.718632 0.082318 +vt 0.718692 0.081196 +vt 0.719297 0.081064 +vt 0.719182 0.082597 +vt 0.713382 0.082354 +vt 0.713033 0.080891 +vt 0.713742 0.080800 +vt 0.713987 0.082175 +vt 0.714320 0.082069 +vt 0.714893 0.083213 +vt 0.714145 0.080785 +vt 0.708163 0.094439 +vt 0.709758 0.092999 +vt 0.710614 0.094384 +vt 0.709156 0.095721 +vt 0.704277 0.097932 +vt 0.705308 0.097036 +vt 0.706366 0.098428 +vt 0.705382 0.099390 +vt 0.700211 0.102185 +vt 0.701007 0.101357 +vt 0.702525 0.103162 +vt 0.701906 0.104284 +vt 0.719877 0.084213 +vt 0.721223 0.085039 +vt 0.719972 0.086459 +vt 0.718998 0.085677 +vt 0.715883 0.083482 +vt 0.722557 0.087534 +vt 0.722921 0.088815 +vt 0.716906 0.083506 +vt 0.717733 0.083358 +vt 0.715295 0.077835 +vt 0.714661 0.079887 +vt 0.717722 0.087094 +vt 0.718502 0.088046 +vt 0.716419 0.089921 +vt 0.715482 0.088801 +vt 0.713334 0.077454 +vt 0.711051 0.077401 +vt 0.719209 0.093508 +vt 0.718174 0.092004 +vt 0.715827 0.085680 +vt 0.714928 0.085335 +vt 0.710693 0.085723 +vt 0.710307 0.084761 +vt 0.709671 0.083368 +vt 0.709402 0.081907 +vt 0.713690 0.090075 +vt 0.714727 0.091330 +vt 0.713955 0.091887 +vt 0.713015 0.090533 +vt 0.691739 0.088286 +vt 0.694039 0.087813 +vt 0.695039 0.089949 +vt 0.692896 0.090342 +vt 0.706039 0.104336 +vt 0.708284 0.106029 +vt 0.701870 0.094157 +vt 0.696887 0.080851 +vt 0.697217 0.079082 +vt 0.691446 0.083355 +vt 0.693538 0.083435 +vt 0.693633 0.085819 +vt 0.691160 0.086078 +vt 0.694417 0.092339 +vt 0.696104 0.091855 +vt 0.701878 0.100226 +vt 0.703176 0.101759 +vt 0.702938 0.085337 +vt 0.703764 0.087033 +vt 0.701970 0.087409 +vt 0.701377 0.085890 +vt 0.712088 0.087921 +vt 0.711538 0.086954 +vt 0.713078 0.086270 +vt 0.713773 0.087052 +vt 0.704434 0.088327 +vt 0.705435 0.090006 +vt 0.704065 0.090483 +vt 0.702765 0.088863 +vt 0.716756 0.093625 +vt 0.717834 0.094959 +vt 0.717117 0.095788 +vt 0.716113 0.094475 +vt 0.707021 0.078076 +vt 0.707992 0.077898 +vt 0.708061 0.079157 +vt 0.707114 0.079287 +vt 0.709881 0.100378 +vt 0.710601 0.099520 +vt 0.712076 0.100967 +vt 0.711359 0.101899 +vt 0.706387 0.096175 +vt 0.707269 0.095352 +vt 0.708310 0.096603 +vt 0.707391 0.097447 +vt 0.702772 0.083814 +vt 0.701101 0.084268 +vt 0.702521 0.081892 +vt 0.700983 0.082265 +vt 0.706451 0.091598 +vt 0.705222 0.092175 +vt 0.699630 0.078804 +vt 0.700790 0.078677 +vt 0.700794 0.080282 +vt 0.699505 0.080503 +vt 0.709293 0.080541 +vt 0.709094 0.078946 +vt 0.712190 0.091074 +vt 0.713220 0.092374 +vt 0.715290 0.095095 +vt 0.716432 0.096478 +vt 0.709063 0.077631 +vt 0.698415 0.078900 +vt 0.698181 0.080703 +vt 0.707246 0.080906 +vt 0.707393 0.082409 +vt 0.709025 0.086414 +vt 0.709766 0.087792 +vt 0.707541 0.083942 +vt 0.708227 0.085344 +vt 0.710469 0.088878 +vt 0.705928 0.078102 +vt 0.706117 0.079409 +vt 0.711536 0.091663 +vt 0.712472 0.092987 +vt 0.714508 0.095749 +vt 0.715630 0.097209 +vt 0.708204 0.080758 +vt 0.708339 0.082187 +vt 0.709764 0.085974 +vt 0.710578 0.087375 +vt 0.708513 0.083716 +vt 0.709111 0.085107 +vt 0.711363 0.088384 +vt 0.711728 0.095776 +vt 0.710234 0.096896 +vt 0.707495 0.099626 +vt 0.706613 0.100657 +vt 0.704046 0.104696 +vt 0.703768 0.106234 +vt 0.720689 0.087560 +vt 0.719204 0.089009 +vt 0.718241 0.080094 +vt 0.718759 0.079689 +vt 0.722079 0.086297 +vt 0.717344 0.090940 +vt 0.704597 0.103147 +vt 0.715808 0.092600 +vt 0.715052 0.093220 +vt 0.709323 0.097912 +vt 0.708490 0.098735 +vt 0.714278 0.093668 +vt 0.713454 0.094278 +vt 0.700683 0.098361 +vt 0.703045 0.096093 +vt 0.698375 0.100041 +vt 0.699575 0.099135 +vt 0.711328 0.089880 +vt 0.712045 0.089360 +vt 0.718730 0.084010 +vt 0.717961 0.085035 +vt 0.704154 0.095233 +vt 0.705228 0.094410 +vt 0.709006 0.091687 +vt 0.710594 0.090414 +vt 0.716679 0.086202 +vt 0.714476 0.087753 +vt 0.707353 0.092926 +vt 0.706208 0.093716 +vt 0.718300 0.083011 +vt 0.718605 0.083534 +vt 0.712743 0.088887 +vt 0.718259 0.082174 +vt 0.718175 0.081258 +vt 0.714605 0.082038 +vt 0.715190 0.083051 +vt 0.717881 0.080353 +vt 0.715948 0.083306 +vt 0.716940 0.079744 +vt 0.715917 0.079683 +vt 0.716930 0.083221 +vt 0.717507 0.083037 +vt 0.717954 0.082702 +vt 0.715022 0.080091 +vt 0.717471 0.079980 +vt 0.714446 0.080757 +vt 0.717107 0.081486 +vt 0.717517 0.081436 +vt 0.716391 0.081549 +vt 0.715393 0.081719 +vt 0.589071 0.068010 +vt 0.591479 0.066947 +vt 0.592261 0.068193 +vt 0.589988 0.069397 +vt 0.596462 0.063317 +vt 0.599277 0.060623 +vt 0.600326 0.061624 +vt 0.597367 0.064692 +vt 0.593820 0.065532 +vt 0.594596 0.066794 +vt 0.693968 0.179280 +vt 0.695361 0.181353 +vt 0.692453 0.183210 +vt 0.691236 0.181474 +vt 0.601198 0.059305 +vt 0.602449 0.060392 +vt 0.588865 0.072293 +vt 0.587770 0.070590 +vt 0.590992 0.071005 +vt 0.595802 0.057482 +vt 0.593894 0.060240 +vt 0.593110 0.059548 +vt 0.594518 0.056682 +vt 0.591817 0.062553 +vt 0.589328 0.063795 +vt 0.588697 0.062936 +vt 0.591260 0.061872 +vt 0.703074 0.192382 +vt 0.699923 0.193257 +vt 0.698563 0.191337 +vt 0.701704 0.190252 +vt 0.586350 0.064015 +vt 0.585633 0.062686 +vt 0.588099 0.062128 +vt 0.584966 0.061287 +vt 0.584506 0.060051 +vt 0.587647 0.061382 +vt 0.583268 0.056644 +vt 0.584689 0.059182 +vt 0.582486 0.058405 +vt 0.593362 0.053851 +vt 0.593334 0.056104 +vt 0.592179 0.055742 +vt 0.591482 0.053340 +vt 0.705194 0.195778 +vt 0.703220 0.196344 +vt 0.701609 0.194910 +vt 0.704269 0.193999 +vt 0.592401 0.058974 +vt 0.591771 0.058477 +vt 0.709706 0.192869 +vt 0.707759 0.194398 +vt 0.706893 0.192668 +vt 0.708809 0.191100 +vt 0.590759 0.061298 +vt 0.590340 0.060765 +vt 0.589921 0.060261 +vt 0.591198 0.057866 +vt 0.587404 0.060891 +vt 0.700665 0.175280 +vt 0.702223 0.177141 +vt 0.698705 0.178866 +vt 0.697454 0.176831 +vt 0.705841 0.191009 +vt 0.708128 0.189000 +vt 0.591096 0.055806 +vt 0.589526 0.053395 +vt 0.582630 0.060483 +vt 0.707073 0.186726 +vt 0.704387 0.188531 +vt 0.703120 0.186072 +vt 0.705770 0.184317 +vt 0.582983 0.062556 +vt 0.583800 0.064325 +vt 0.697401 0.189505 +vt 0.700166 0.187870 +vt 0.595091 0.054625 +vt 0.596809 0.058245 +vt 0.594563 0.060861 +vt 0.592340 0.063192 +vt 0.589903 0.064535 +vt 0.704515 0.182084 +vt 0.701527 0.183344 +vt 0.701026 0.182533 +vt 0.703758 0.180856 +vt 0.598577 0.056871 +vt 0.597007 0.055710 +vt 0.698844 0.185664 +vt 0.696147 0.187920 +vt 0.695330 0.186816 +vt 0.698196 0.184718 +vt 0.585878 0.067897 +vt 0.585304 0.067060 +vt 0.587689 0.066089 +vt 0.588283 0.066889 +vt 0.601873 0.063387 +vt 0.598643 0.066276 +vt 0.587097 0.065171 +vt 0.703215 0.179996 +vt 0.700277 0.181611 +vt 0.593227 0.069918 +vt 0.595691 0.068253 +vt 0.603982 0.062017 +vt 0.697665 0.183987 +vt 0.694634 0.185963 +vt 0.584672 0.065960 +vt 0.590843 0.065999 +vt 0.595728 0.062289 +vt 0.598457 0.059627 +vt 0.593224 0.064647 +vt 0.600366 0.058456 +vt 0.586677 0.069087 +vt 0.702657 0.178984 +vt 0.699718 0.180743 +vt 0.696871 0.182906 +vt 0.693697 0.184737 +vt 0.590398 0.065255 +vt 0.595213 0.061582 +vt 0.597698 0.058972 +vt 0.592798 0.063843 +vt 0.599614 0.057763 +vt 0.705330 0.179135 +vt 0.705909 0.180085 +vt 0.710493 0.189338 +vt 0.709768 0.187273 +vt 0.703687 0.176555 +vt 0.704621 0.178024 +vt 0.708832 0.185376 +vt 0.707605 0.183297 +vt 0.702800 0.174372 +vt 0.711183 0.191380 +vt 0.706611 0.181400 +vt 0.588077 0.053439 +vt 0.586021 0.054054 +vt 0.585591 0.052791 +vt 0.587912 0.052339 +vt 0.589661 0.059873 +vt 0.590995 0.057792 +vt 0.583582 0.054776 +vt 0.584451 0.055049 +vt 0.590536 0.055993 +vt 0.583949 0.056317 +vt 0.584958 0.058662 +vt 0.589091 0.054087 +vt 0.587339 0.060659 +vt 0.586567 0.055068 +vt 0.587604 0.056993 +vt 0.627782 0.051075 +vt 0.650010 0.043690 +vt 0.676178 0.057245 +vt 0.689758 0.079458 +vt 0.729070 0.145551 +vt 0.731848 0.146600 +vt 0.725306 0.144213 +vt 0.726603 0.144578 +vt 0.745550 0.151833 +vt 0.746388 0.152205 +vt 0.758341 0.155800 +vt 0.755824 0.154864 +vt 0.733361 0.147362 +vt 0.734408 0.147846 +vt 0.740318 0.149873 +vt 0.744718 0.151581 +vt 0.752986 0.153901 +vt 0.750300 0.153221 +vt 0.736863 0.148919 +vt 0.735399 0.148355 +vt 0.758969 0.156353 +vt 0.747942 0.152600 +vt 0.726824 0.123353 +vt 0.731724 0.122216 +vt 0.721749 0.123909 +vt 0.724927 0.123675 +vt 0.747839 0.120968 +vt 0.748949 0.120844 +vt 0.760155 0.119401 +vt 0.757856 0.119110 +vt 0.732960 0.121953 +vt 0.734174 0.121847 +vt 0.743058 0.121924 +vt 0.746708 0.121077 +vt 0.755443 0.119639 +vt 0.752245 0.120179 +vt 0.739641 0.122180 +vt 0.736287 0.121789 +vt 0.761148 0.119356 +vt 0.750143 0.120605 +vt 0.714243 0.105910 +vt 0.717624 0.103956 +vt 0.710643 0.108167 +vt 0.712837 0.106753 +vt 0.732741 0.097441 +vt 0.733832 0.097144 +vt 0.745333 0.091269 +vt 0.742729 0.092113 +vt 0.718907 0.103218 +vt 0.719980 0.102937 +vt 0.727280 0.100019 +vt 0.731306 0.097890 +vt 0.740242 0.093071 +vt 0.736995 0.094995 +vt 0.722153 0.102208 +vt 0.721210 0.102599 +vt 0.746157 0.090676 +vt 0.734932 0.096523 +vt 0.678003 0.075203 +vt 0.676188 0.071081 +vt 0.716389 0.126890 +vt 0.717340 0.132758 +vt 0.713110 0.133575 +vt 0.711712 0.129170 +vt 0.682935 0.090789 +vt 0.680988 0.087374 +vt 0.695822 0.104635 +vt 0.692758 0.101966 +vt 0.696932 0.101650 +vt 0.633190 0.052303 +vt 0.631250 0.052414 +vt 0.717059 0.154515 +vt 0.718449 0.152303 +vt 0.720661 0.153619 +vt 0.720498 0.156514 +vt 0.684320 0.093760 +vt 0.685986 0.095471 +vt 0.699268 0.103568 +vt 0.700742 0.105758 +vt 0.698826 0.107106 +vt 0.698080 0.105026 +vt 0.706853 0.113794 +vt 0.710915 0.117782 +vt 0.707664 0.118912 +vt 0.705156 0.114196 +vt 0.628029 0.052835 +vt 0.714411 0.138657 +vt 0.717507 0.138954 +vt 0.660102 0.056599 +vt 0.655128 0.054598 +vt 0.717826 0.149830 +vt 0.719547 0.149933 +vt 0.701787 0.110294 +vt 0.703916 0.109488 +vt 0.720835 0.158730 +vt 0.719015 0.158529 +vt 0.709610 0.123334 +vt 0.714960 0.121852 +vt 0.663726 0.059635 +vt 0.637007 0.052264 +vt 0.625220 0.053395 +vt 0.625260 0.051534 +vt 0.690118 0.099055 +vt 0.718615 0.144777 +vt 0.716146 0.144959 +vt 0.672759 0.066679 +vt 0.641414 0.052057 +vt 0.705532 0.124405 +vt 0.703645 0.120139 +vt 0.707769 0.130234 +vt 0.709744 0.134476 +vt 0.705904 0.136422 +vt 0.703922 0.131510 +vt 0.698054 0.110721 +vt 0.695435 0.106417 +vt 0.686436 0.100612 +vt 0.691167 0.105064 +vt 0.687969 0.106521 +vt 0.682339 0.102778 +vt 0.711424 0.139681 +vt 0.701658 0.115539 +vt 0.700126 0.121105 +vt 0.697594 0.115954 +vt 0.713537 0.145335 +vt 0.715003 0.150246 +vt 0.712107 0.150823 +vt 0.709929 0.146202 +vt 0.706484 0.147657 +vt 0.704447 0.142551 +vt 0.707700 0.140869 +vt 0.693675 0.117171 +vt 0.691074 0.111558 +vt 0.693900 0.110643 +vt 0.678766 0.079643 +vt 0.709405 0.152610 +vt 0.705277 0.154554 +vt 0.701741 0.150263 +vt 0.702440 0.137574 +vt 0.700169 0.133082 +vt 0.630656 0.062740 +vt 0.626323 0.061233 +vt 0.627193 0.056703 +vt 0.632449 0.057075 +vt 0.670048 0.065309 +vt 0.688699 0.119793 +vt 0.695514 0.122770 +vt 0.691885 0.125968 +vt 0.699561 0.144670 +vt 0.697929 0.140041 +vt 0.696387 0.135406 +vt 0.670578 0.099793 +vt 0.667949 0.096007 +vt 0.671261 0.092375 +vt 0.673614 0.097041 +vt 0.654057 0.069361 +vt 0.659352 0.072286 +vt 0.655378 0.080030 +vt 0.650484 0.077301 +vt 0.678113 0.100642 +vt 0.674585 0.103185 +vt 0.663224 0.077034 +vt 0.659388 0.083706 +vt 0.662494 0.087940 +vt 0.665824 0.082272 +vt 0.665268 0.110923 +vt 0.660162 0.116287 +vt 0.657615 0.113689 +vt 0.662993 0.107833 +vt 0.665448 0.092109 +vt 0.669214 0.087249 +vt 0.653036 0.110460 +vt 0.659377 0.104300 +vt 0.645503 0.074652 +vt 0.648363 0.066991 +vt 0.637157 0.092146 +vt 0.631718 0.090594 +vt 0.635899 0.082019 +vt 0.641393 0.083821 +vt 0.641727 0.094265 +vt 0.645508 0.096357 +vt 0.640777 0.103428 +vt 0.637300 0.101573 +vt 0.652325 0.100451 +vt 0.649035 0.098329 +vt 0.654492 0.090971 +vt 0.657870 0.093929 +vt 0.624950 0.089857 +vt 0.629299 0.081049 +vt 0.642946 0.065074 +vt 0.643594 0.057595 +vt 0.650461 0.059872 +vt 0.665851 0.062830 +vt 0.643967 0.105212 +vt 0.655815 0.102527 +vt 0.661249 0.096862 +vt 0.646222 0.086033 +vt 0.662221 0.066635 +vt 0.666102 0.071174 +vt 0.636525 0.063710 +vt 0.637560 0.059718 +vt 0.675408 0.094424 +vt 0.674693 0.089205 +vt 0.639997 0.072672 +vt 0.673422 0.082667 +vt 0.720664 0.143520 +vt 0.723332 0.142830 +vt 0.718539 0.124830 +vt 0.720426 0.140148 +vt 0.723171 0.141062 +vt 0.708379 0.111452 +vt 0.719821 0.123673 +vt 0.649842 0.040899 +vt 0.717481 0.122157 +vt 0.708578 0.109727 +vt 0.719535 0.122438 +vt 0.705781 0.109099 +vt 0.707672 0.108637 +vt 0.677251 0.054963 +vt 0.692025 0.078062 +vt 0.636257 0.771134 +vt 0.636615 0.778306 +vt 0.633262 0.853527 +vt 0.633306 0.859025 +vt 0.634602 0.831695 +vt 0.634407 0.838999 +vt 0.633128 0.863219 +vt 0.637755 0.786028 +vt 0.637985 0.793932 +vt 0.632561 0.866929 +vt 0.631497 0.871029 +vt 0.638051 0.760189 +vt 0.637339 0.762958 +vt 0.635272 0.824171 +vt 0.635901 0.816270 +vt 0.636579 0.766344 +vt 0.633943 0.846485 +vt 0.636325 0.809027 +vt 0.640569 0.861960 +vt 0.640317 0.865456 +vt 0.642341 0.778538 +vt 0.643461 0.785929 +vt 0.644579 0.760108 +vt 0.643570 0.763033 +vt 0.642058 0.824706 +vt 0.641433 0.831882 +vt 0.642577 0.817116 +vt 0.642487 0.766596 +vt 0.641196 0.839272 +vt 0.641064 0.846461 +vt 0.643105 0.809762 +vt 0.641987 0.771494 +vt 0.640540 0.853176 +vt 0.640590 0.858166 +vt 0.644106 0.793771 +vt 0.639228 0.869249 +vt 0.650030 0.760430 +vt 0.648493 0.763198 +vt 0.647163 0.825149 +vt 0.646715 0.831942 +vt 0.647522 0.817747 +vt 0.647111 0.766827 +vt 0.646405 0.839222 +vt 0.646161 0.846263 +vt 0.648378 0.810293 +vt 0.646299 0.771908 +vt 0.645819 0.852729 +vt 0.646496 0.778954 +vt 0.646029 0.857544 +vt 0.646110 0.861237 +vt 0.647596 0.786234 +vt 0.648715 0.793757 +vt 0.645874 0.864633 +vt 0.644748 0.868253 +vt 0.653178 0.763777 +vt 0.651865 0.767525 +vt 0.651055 0.838948 +vt 0.650549 0.845953 +vt 0.652945 0.810903 +vt 0.652256 0.818342 +vt 0.650803 0.772569 +vt 0.650581 0.852117 +vt 0.650752 0.779522 +vt 0.650817 0.856857 +vt 0.651537 0.831845 +vt 0.650726 0.860606 +vt 0.651703 0.786559 +vt 0.652935 0.794128 +vt 0.650151 0.864111 +vt 0.649445 0.867402 +vt 0.655250 0.761369 +vt 0.651846 0.825427 +vt 0.661792 0.763558 +vt 0.659724 0.765944 +vt 0.656671 0.825800 +vt 0.656030 0.831939 +vt 0.656900 0.819126 +vt 0.657885 0.769255 +vt 0.655515 0.838716 +vt 0.655365 0.845405 +vt 0.657045 0.811840 +vt 0.656526 0.773723 +vt 0.655676 0.851209 +vt 0.656395 0.780263 +vt 0.655948 0.855852 +vt 0.655960 0.859723 +vt 0.656964 0.787064 +vt 0.657312 0.794885 +vt 0.655443 0.863363 +vt 0.655126 0.866489 +vt 0.666699 0.769727 +vt 0.664721 0.772604 +vt 0.662312 0.838000 +vt 0.662655 0.844217 +vt 0.661103 0.813446 +vt 0.661940 0.820332 +vt 0.663497 0.776513 +vt 0.662761 0.849991 +vt 0.663080 0.781761 +vt 0.663020 0.854686 +vt 0.662182 0.832119 +vt 0.662986 0.858684 +vt 0.662699 0.788475 +vt 0.661905 0.796274 +vt 0.662557 0.862373 +vt 0.662136 0.865472 +vt 0.668497 0.766931 +vt 0.662462 0.826447 +vt 0.673282 0.777871 +vt 0.671858 0.781421 +vt 0.671878 0.843315 +vt 0.672163 0.848862 +vt 0.670641 0.785788 +vt 0.672500 0.853430 +vt 0.670017 0.832256 +vt 0.671052 0.837626 +vt 0.672288 0.857398 +vt 0.669774 0.791789 +vt 0.669018 0.798752 +vt 0.671815 0.860929 +vt 0.671107 0.864181 +vt 0.676975 0.771580 +vt 0.675059 0.774696 +vt 0.669458 0.826801 +vt 0.667903 0.821314 +vt 0.667493 0.815192 +vt 0.683526 0.787280 +vt 0.682502 0.791334 +vt 0.684155 0.847417 +vt 0.684147 0.851753 +vt 0.681286 0.831699 +vt 0.682616 0.836637 +vt 0.683890 0.855665 +vt 0.681859 0.796013 +vt 0.681028 0.801649 +vt 0.683252 0.859475 +vt 0.682952 0.862893 +vt 0.687956 0.777042 +vt 0.686246 0.780179 +vt 0.680194 0.826652 +vt 0.679025 0.821477 +vt 0.684758 0.783242 +vt 0.683446 0.841878 +vt 0.678865 0.815992 +vt 0.695563 0.831378 +vt 0.696563 0.835872 +vt 0.697032 0.849413 +vt 0.696744 0.853455 +vt 0.694948 0.800324 +vt 0.694343 0.805200 +vt 0.696146 0.857456 +vt 0.695965 0.860804 +vt 0.695452 0.796044 +vt 0.700288 0.782811 +vt 0.698627 0.785869 +vt 0.694251 0.826658 +vt 0.693283 0.822076 +vt 0.697201 0.788788 +vt 0.696918 0.840441 +vt 0.693069 0.817223 +vt 0.696222 0.792444 +vt 0.697197 0.845131 +vt 0.709619 0.853546 +vt 0.709653 0.857322 +vt 0.709861 0.850284 +vt 0.708652 0.800745 +vt 0.708194 0.804493 +vt 0.714233 0.788407 +vt 0.712107 0.791086 +vt 0.709373 0.826796 +vt 0.710031 0.830781 +vt 0.708430 0.822610 +vt 0.710479 0.794144 +vt 0.710453 0.834746 +vt 0.710528 0.838954 +vt 0.707873 0.818461 +vt 0.709349 0.797552 +vt 0.710525 0.843036 +vt 0.710018 0.847045 +vt 0.707915 0.808400 +vt 0.725864 0.792519 +vt 0.723900 0.795094 +vt 0.720286 0.827134 +vt 0.720797 0.830824 +vt 0.719726 0.823475 +vt 0.722205 0.798033 +vt 0.721144 0.834519 +vt 0.721182 0.837844 +vt 0.719748 0.819832 +vt 0.720905 0.801160 +vt 0.721140 0.840947 +vt 0.720096 0.804563 +vt 0.721016 0.843945 +vt 0.721049 0.846839 +vt 0.719673 0.807942 +vt 0.719550 0.811471 +vt 0.721675 0.849708 +vt 0.721802 0.853280 +vt 0.733329 0.798182 +vt 0.731804 0.801162 +vt 0.730191 0.833693 +vt 0.730167 0.836606 +vt 0.729471 0.821144 +vt 0.729244 0.824237 +vt 0.730541 0.804385 +vt 0.730117 0.839341 +vt 0.729730 0.807829 +vt 0.730116 0.841866 +vt 0.729998 0.830593 +vt 0.730200 0.844380 +vt 0.729331 0.810943 +vt 0.729285 0.814064 +vt 0.730410 0.847257 +vt 0.731097 0.850312 +vt 0.735026 0.795548 +vt 0.729602 0.827359 +vt 0.738889 0.803721 +vt 0.737823 0.807144 +vt 0.737055 0.835846 +vt 0.737019 0.838413 +vt 0.737068 0.810591 +vt 0.737082 0.840730 +vt 0.737080 0.830337 +vt 0.737189 0.833221 +vt 0.737239 0.843017 +vt 0.736570 0.813440 +vt 0.736539 0.816146 +vt 0.737451 0.845675 +vt 0.737983 0.848543 +vt 0.741830 0.797981 +vt 0.740220 0.800679 +vt 0.736923 0.827539 +vt 0.736762 0.824782 +vt 0.736899 0.821817 +vt 0.742843 0.808947 +vt 0.742273 0.812129 +vt 0.742868 0.838283 +vt 0.742954 0.840502 +vt 0.742944 0.830540 +vt 0.742932 0.833012 +vt 0.743074 0.842596 +vt 0.741902 0.814759 +vt 0.742043 0.817276 +vt 0.743199 0.844970 +vt 0.743578 0.847374 +vt 0.746673 0.799540 +vt 0.744962 0.802365 +vt 0.742856 0.827886 +vt 0.742759 0.825289 +vt 0.743711 0.805522 +vt 0.742854 0.835691 +vt 0.742929 0.822807 +vt 0.747482 0.830823 +vt 0.747530 0.833238 +vt 0.747688 0.840478 +vt 0.747732 0.842482 +vt 0.745828 0.817743 +vt 0.745600 0.815377 +vt 0.748108 0.815901 +vt 0.748692 0.818122 +vt 0.747526 0.846654 +vt 0.747645 0.844680 +vt 0.751324 0.844736 +vt 0.750806 0.846804 +vt 0.745670 0.813042 +vt 0.747784 0.813634 +vt 0.749703 0.800466 +vt 0.747804 0.803417 +vt 0.747414 0.828348 +vt 0.747278 0.825712 +vt 0.750789 0.825867 +vt 0.750984 0.828554 +vt 0.746623 0.806716 +vt 0.747532 0.835792 +vt 0.747122 0.822963 +vt 0.750432 0.823215 +vt 0.745921 0.810186 +vt 0.747593 0.838296 +vt 0.667837 0.078625 +vt 0.655627 0.066592 +vt 0.671762 0.075643 +vt 0.670315 0.071986 +vt 0.657419 0.062815 +vt 0.654708 0.059373 +vt 0.678468 0.093048 +vt 0.681335 0.094673 +vt 0.650170 0.053015 +vt 0.644826 0.052004 +vt 0.677825 0.090217 +vt 0.680639 0.084662 +vt 0.674308 0.077345 +vt 0.680833 0.097882 +vt 0.697912 0.128504 +vt 0.694394 0.131073 +vt 0.623061 0.109706 +vt 0.621380 0.114288 +vt 0.617655 0.113621 +vt 0.618761 0.109017 +vt 0.627065 0.111079 +vt 0.624968 0.115580 +vt 0.591996 0.072967 +vt 0.590041 0.074311 +vt 0.606066 0.063652 +vt 0.603942 0.065192 +vt 0.692247 0.176948 +vt 0.695995 0.174096 +vt 0.699353 0.172769 +vt 0.600229 0.068340 +vt 0.596975 0.070027 +vt 0.701522 0.171883 +vt 0.594236 0.071573 +vt 0.689894 0.179471 +vt 0.598507 0.072210 +vt 0.595350 0.073883 +vt 0.592978 0.075165 +vt 0.688679 0.177550 +vt 0.690948 0.175372 +vt 0.607962 0.064829 +vt 0.605944 0.066557 +vt 0.590969 0.076295 +vt 0.695077 0.172397 +vt 0.698425 0.170747 +vt 0.700473 0.169761 +vt 0.602178 0.069980 +vt 0.603872 0.071674 +vt 0.599938 0.074660 +vt 0.607815 0.067632 +vt 0.596208 0.076278 +vt 0.593813 0.077233 +vt 0.687561 0.175987 +vt 0.690186 0.174219 +vt 0.609491 0.065661 +vt 0.591649 0.078006 +vt 0.694548 0.171096 +vt 0.697855 0.169120 +vt 0.699965 0.168006 +vt 0.689521 0.172707 +vt 0.693998 0.169809 +vt 0.697264 0.167656 +vt 0.699650 0.166404 +vt 0.605665 0.073332 +vt 0.601386 0.077282 +vt 0.609724 0.068496 +vt 0.597396 0.078602 +vt 0.594643 0.079206 +vt 0.686689 0.174369 +vt 0.610968 0.066137 +vt 0.592182 0.079691 +vt 0.685789 0.172308 +vt 0.688790 0.171581 +vt 0.612610 0.066457 +vt 0.611808 0.069714 +vt 0.595380 0.081807 +vt 0.592476 0.081840 +vt 0.693426 0.168114 +vt 0.696942 0.165660 +vt 0.699612 0.164669 +vt 0.607758 0.075131 +vt 0.603353 0.079700 +vt 0.598732 0.081435 +vt 0.604233 0.083132 +vt 0.600419 0.084966 +vt 0.596036 0.085530 +vt 0.684722 0.168813 +vt 0.688878 0.166598 +vt 0.614768 0.067307 +vt 0.615477 0.071014 +vt 0.592132 0.085401 +vt 0.693597 0.164450 +vt 0.697546 0.162904 +vt 0.701323 0.162798 +vt 0.609658 0.077607 +vt 0.596316 0.090044 +vt 0.601461 0.089032 +vt 0.591590 0.089709 +vt 0.695088 0.154509 +vt 0.685521 0.157596 +vt 0.682996 0.153228 +vt 0.692271 0.148716 +vt 0.679418 0.160353 +vt 0.676175 0.156249 +vt 0.590994 0.095211 +vt 0.595778 0.095907 +vt 0.595260 0.101823 +vt 0.590942 0.100339 +vt 0.680979 0.148892 +vt 0.690336 0.143945 +vt 0.679401 0.144693 +vt 0.688711 0.139775 +vt 0.677983 0.140419 +vt 0.686966 0.135663 +vt 0.608672 0.091937 +vt 0.617041 0.090813 +vt 0.615181 0.097585 +vt 0.609507 0.098489 +vt 0.676441 0.135111 +vt 0.684610 0.130671 +vt 0.675534 0.128408 +vt 0.681871 0.124337 +vt 0.674994 0.120537 +vt 0.669537 0.131852 +vt 0.670636 0.125895 +vt 0.678949 0.117225 +vt 0.702457 0.156663 +vt 0.687376 0.162507 +vt 0.682669 0.164924 +vt 0.701735 0.126339 +vt 0.650280 0.108713 +vt 0.637406 0.056147 +vt 0.640756 0.055138 +vt 0.634363 0.055260 +vt 0.661174 0.062560 +vt 0.693488 0.160580 +vt 0.667484 0.103011 +vt 0.664431 0.099765 +vt 0.633097 0.099661 +vt 0.628145 0.098072 +vt 0.647209 0.106963 +vt 0.621918 0.097094 +vt 0.650580 0.088351 +vt 0.686217 0.112934 +vt 0.683215 0.108582 +vt 0.669069 0.138226 +vt 0.669804 0.143783 +vt 0.698887 0.159201 +vt 0.704292 0.160985 +vt 0.619098 0.070353 +vt 0.617812 0.066043 +vt 0.613212 0.080251 +vt 0.606213 0.087075 +vt 0.669084 0.114406 +vt 0.672413 0.117632 +vt 0.666851 0.124472 +vt 0.661870 0.124433 +vt 0.673317 0.109880 +vt 0.676103 0.113219 +vt 0.678490 0.105407 +vt 0.601885 0.094579 +vt 0.601516 0.102223 +vt 0.629636 0.105834 +vt 0.633512 0.107606 +vt 0.630625 0.112709 +vt 0.636826 0.109343 +vt 0.633739 0.114292 +vt 0.639916 0.111003 +vt 0.636741 0.115883 +vt 0.642958 0.112684 +vt 0.639725 0.117547 +vt 0.645860 0.114458 +vt 0.642567 0.119212 +vt 0.746428 0.820452 +vt 0.742569 0.820065 +vt 0.736799 0.819018 +vt 0.719531 0.815839 +vt 0.729394 0.817628 +vt 0.434135 0.865893 +vt 0.421801 0.878609 +vt 0.412712 0.892311 +vt 0.406998 0.908052 +vt 0.403998 0.921468 +vt 0.402012 0.932893 +vt 0.400036 0.943405 +vt 0.398344 0.949106 +vt 0.955880 0.559201 +vt 0.963795 0.567357 +vt 0.949401 0.553316 +vt 0.944300 0.548405 +vt 0.939918 0.543682 +vt 0.935916 0.538977 +vt 0.871506 0.486653 +vt 0.914960 0.509260 +vt 0.916263 0.510984 +vt 0.913069 0.505969 +vt 0.911882 0.503599 +vt 0.912479 0.504925 +vt 0.911562 0.502566 +vt 0.911522 0.501655 +vt 0.911211 0.500961 +vt 0.910678 0.500082 +vt 0.910129 0.499302 +vt 0.909974 0.499229 +vt 0.874401 0.044477 +vt 0.873184 0.046461 +vt 0.872023 0.048075 +vt 0.871475 0.049441 +vt 0.870873 0.052313 +vt 0.871455 0.057724 +vt 0.871849 0.066831 +vt 0.872219 0.078893 +vt 0.871180 0.092839 +vt 0.869357 0.109788 +vt 0.865516 0.119285 +vt 0.869726 0.127532 +vt 0.878315 0.119253 +vt 0.882474 0.106431 +vt 0.887893 0.093984 +vt 0.891551 0.080325 +vt 0.892601 0.066324 +vt 0.891190 0.056291 +vt 0.888907 0.049556 +vt 0.885963 0.046158 +vt 0.882875 0.044299 +vt 0.879479 0.042822 +vt 0.877462 0.040518 +vt 0.909567 0.499148 +vt 0.909132 0.499772 +vt 0.908656 0.500315 +vt 0.907939 0.501294 +vt 0.907790 0.501956 +vt 0.907847 0.502689 +vt 0.907625 0.504098 +vt 0.907620 0.505477 +vt 0.906965 0.506673 +vt 0.906085 0.509145 +vt 0.905359 0.511297 +vt 0.871494 0.488815 +vt 0.871692 0.491052 +vt 0.447582 0.853072 +vt 0.467106 0.836730 +vt 0.484570 0.827240 +vt 0.499863 0.821632 +vt 0.512462 0.815782 +vt 0.524345 0.809912 +vt 0.534170 0.805250 +vt 0.542314 0.801093 +vt 0.549299 0.798539 +vt 0.555662 0.797215 +vt 0.564827 0.796863 +vt 0.577784 0.797577 +vt 0.592614 0.799124 +vt 0.606663 0.799704 +vt 0.620139 0.801045 +vt 0.629122 0.801259 +vt 0.637178 0.801649 +vt 0.648214 0.116718 +vt 0.645179 0.121097 +vt 0.651824 0.119909 +vt 0.647933 0.123766 +vt 0.872936 0.488333 +vt 0.872997 0.490498 +vt 0.872220 0.494002 +vt 0.873346 0.496442 +vt 0.873174 0.124812 +vt 0.869470 0.121153 +vt 0.900964 0.508793 +vt 0.874795 0.498411 +vt 0.836369 0.560637 +vt 0.836163 0.565662 +vt 0.829081 0.561319 +vt 0.830259 0.556839 +vt 0.822520 0.554714 +vt 0.824532 0.551070 +vt 0.816842 0.546582 +vt 0.819446 0.543800 +vt 0.814903 0.535476 +vt 0.811746 0.537430 +vt 0.808114 0.527506 +vt 0.811547 0.526282 +vt 0.805569 0.517309 +vt 0.809319 0.516773 +vt 0.803789 0.507551 +vt 0.808021 0.507179 +vt 0.802896 0.498275 +vt 0.807419 0.498064 +vt 0.802621 0.489743 +vt 0.807324 0.489737 +vt 0.625144 0.104347 +vt 0.649877 0.126624 +vt 0.646043 0.129996 +vt 0.644335 0.127508 +vt 0.749509 0.820633 +vt 0.555815 0.910212 +vt 0.553711 0.918490 +vt 0.551217 0.926322 +vt 0.549409 0.935905 +vt 0.548086 0.943576 +vt 0.546949 0.951460 +vt 0.544991 0.959342 +vt 0.566366 0.894717 +vt 0.562402 0.898193 +vt 0.570866 0.892176 +vt 0.574920 0.889989 +vt 0.579607 0.887788 +vt 0.586816 0.885495 +vt 0.558967 0.903326 +vt 0.596482 0.883221 +vt 0.606612 0.881407 +vt 0.615613 0.878979 +vt 0.623585 0.877271 +vt 0.630536 0.875214 +vt 0.637139 0.873265 +vt 0.642804 0.871874 +vt 0.648134 0.870713 +vt 0.654173 0.869597 +vt 0.661470 0.868580 +vt 0.670907 0.867336 +vt 0.682930 0.866302 +vt 0.696158 0.864222 +vt 0.710120 0.861017 +vt 0.722034 0.856969 +vt 0.731254 0.853987 +vt 0.738433 0.852108 +vt 0.743800 0.850845 +vt 0.747172 0.850336 +vt 0.651824 0.132249 +vt 0.648532 0.134647 +vt 0.714392 0.155398 +vt 0.622054 0.059841 +vt 0.624453 0.056694 +vt 0.715655 0.158409 +vt 0.711659 0.158370 +vt 0.712113 0.155540 +vt 0.622765 0.068079 +vt 0.620478 0.063319 +vt 0.616378 0.081596 +vt 0.633954 0.070884 +vt 0.622317 0.081292 +vt 0.653626 0.123443 +vt 0.654764 0.129549 +vt 0.627896 0.069470 +vt 0.582772 0.125263 +vt 0.586912 0.129913 +vt 0.580224 0.133004 +vt 0.572563 0.128823 +vt 0.588928 0.122496 +vt 0.592163 0.126242 +vt 0.593153 0.118660 +vt 0.595976 0.122281 +vt 0.596470 0.114695 +vt 0.599452 0.118433 +vt 0.598125 0.110093 +vt 0.602100 0.114741 +vt 0.604946 0.109173 +vt 0.610077 0.105057 +vt 0.614736 0.103672 +vt 0.570273 0.124445 +vt 0.579692 0.122383 +vt 0.586454 0.119842 +vt 0.570508 0.120398 +vt 0.576369 0.118771 +vt 0.671214 0.147866 +vt 0.673224 0.152111 +vt 0.582272 0.116386 +vt 0.586839 0.113261 +vt 0.591075 0.116181 +vt 0.589069 0.109684 +vt 0.593418 0.112375 +vt 0.590546 0.105316 +vt 0.594740 0.107774 +vt 0.562005 0.914014 +vt 0.559259 0.922349 +vt 0.556411 0.930304 +vt 0.554442 0.937923 +vt 0.552993 0.945038 +vt 0.551531 0.952303 +vt 0.549568 0.960317 +vt 0.570934 0.898018 +vt 0.568282 0.901756 +vt 0.573935 0.895421 +vt 0.577195 0.893135 +vt 0.581515 0.890818 +vt 0.587485 0.888926 +vt 0.565037 0.907169 +vt 0.596433 0.886727 +vt 0.606702 0.884762 +vt 0.615724 0.882276 +vt 0.623546 0.880668 +vt 0.630430 0.878819 +vt 0.636613 0.876566 +vt 0.641885 0.874904 +vt 0.647123 0.873735 +vt 0.653879 0.872581 +vt 0.661246 0.871736 +vt 0.670718 0.871132 +vt 0.682739 0.869865 +vt 0.696019 0.867644 +vt 0.710471 0.864219 +vt 0.722112 0.860454 +vt 0.731304 0.857573 +vt 0.738366 0.855949 +vt 0.743357 0.854886 +vt 0.746512 0.854627 +vt 0.620077 0.103489 +vt 0.670506 0.106324 +vt 0.693464 0.811906 +vt 0.707474 0.814361 +vt 0.679687 0.809203 +vt 0.667684 0.806926 +vt 0.661101 0.804732 +vt 0.656927 0.803271 +vt 0.653157 0.802453 +vt 0.648927 0.802083 +vt 0.643858 0.801964 +vt 0.708034 0.159819 +vt 0.614210 0.109621 +vt 0.613860 0.114531 +vt 0.610647 0.116429 +vt 0.610273 0.111368 +vt 0.608329 0.118649 +vt 0.606548 0.114477 +vt 0.606223 0.121054 +vt 0.604407 0.118265 +vt 0.601616 0.121230 +vt 0.598186 0.124858 +vt 0.594512 0.128700 +vt 0.589636 0.132309 +vt 0.592063 0.133975 +vt 0.587134 0.136994 +vt 0.583735 0.134788 +vt 0.751091 0.831081 +vt 0.751181 0.833423 +vt 0.751505 0.840384 +vt 0.751545 0.842433 +vt 0.751853 0.801066 +vt 0.749767 0.804244 +vt 0.748590 0.807591 +vt 0.751267 0.835806 +vt 0.747936 0.810939 +vt 0.751378 0.838199 +vt 0.750019 0.850437 +vt 0.748705 0.854207 +vt 0.628225 0.117075 +vt 0.600228 0.127301 +vt 0.603593 0.123800 +vt 0.642011 0.125220 +vt 0.634138 0.120205 +vt 0.637059 0.121908 +vt 0.639684 0.123524 +vt 0.596560 0.130841 +vt 0.631186 0.118576 +vt 0.606973 0.668918 +vt 0.612091 0.664749 +vt 0.571100 0.694519 +vt 0.579722 0.689481 +vt 0.601623 0.673430 +vt 0.519031 0.702735 +vt 0.551600 0.698732 +vt 0.562021 0.697275 +vt 0.536813 0.700006 +vt 0.595645 0.678484 +vt 0.617360 0.660072 +vt 0.623764 0.654122 +vt 0.588544 0.684055 +vt 0.607307 0.657529 +vt 0.613416 0.652830 +vt 0.515085 0.689539 +vt 0.530964 0.685792 +vt 0.619289 0.647790 +vt 0.582583 0.674091 +vt 0.590286 0.669749 +vt 0.564422 0.682719 +vt 0.573277 0.678751 +vt 0.596485 0.665205 +vt 0.555435 0.684082 +vt 0.601946 0.661322 +vt 0.544736 0.685072 +vt 0.500821 0.698355 +vt 0.524970 0.670773 +vt 0.538477 0.670225 +vt 0.602683 0.649102 +vt 0.608471 0.644950 +vt 0.510305 0.674076 +vt 0.614313 0.639740 +vt 0.576674 0.662051 +vt 0.584462 0.658849 +vt 0.558172 0.668083 +vt 0.567232 0.665190 +vt 0.591004 0.655300 +vt 0.549450 0.669537 +vt 0.596714 0.652161 +vt 0.496614 0.682885 +vt 0.518387 0.655303 +vt 0.531141 0.653618 +vt 0.597513 0.637698 +vt 0.603617 0.635206 +vt 0.505138 0.658562 +vt 0.609730 0.631703 +vt 0.571693 0.647667 +vt 0.579214 0.645471 +vt 0.552442 0.652208 +vt 0.562344 0.649850 +vt 0.585698 0.643124 +vt 0.541194 0.653136 +vt 0.591501 0.640879 +vt 0.491701 0.665036 +vt 0.513403 0.638283 +vt 0.525383 0.637236 +vt 0.592568 0.626614 +vt 0.598014 0.623830 +vt 0.499501 0.642074 +vt 0.604660 0.620683 +vt 0.567917 0.634012 +vt 0.575010 0.632110 +vt 0.546495 0.636142 +vt 0.558649 0.635484 +vt 0.581167 0.630382 +vt 0.536119 0.636742 +vt 0.586955 0.628755 +vt 0.486604 0.647690 +vt 0.510286 0.623092 +vt 0.522006 0.621363 +vt 0.589182 0.615493 +vt 0.594617 0.613271 +vt 0.496501 0.625817 +vt 0.601624 0.611400 +vt 0.563355 0.620921 +vt 0.571072 0.620141 +vt 0.543150 0.621257 +vt 0.553647 0.621009 +vt 0.577592 0.619085 +vt 0.532740 0.621340 +vt 0.583504 0.617362 +vt 0.483632 0.629825 +vt 0.483290 0.612720 +vt 0.496121 0.610347 +vt 0.509880 0.608433 +vt 0.520950 0.606957 +vt 0.586613 0.605214 +vt 0.592176 0.603949 +vt 0.560294 0.608277 +vt 0.568341 0.608336 +vt 0.540853 0.607472 +vt 0.550668 0.608090 +vt 0.575097 0.607871 +vt 0.530912 0.607168 +vt 0.581062 0.606874 +vt 0.579374 0.597395 +vt 0.584769 0.596210 +vt 0.484986 0.600283 +vt 0.497459 0.598568 +vt 0.510681 0.596249 +vt 0.521192 0.595141 +vt 0.590595 0.595060 +vt 0.599280 0.602272 +vt 0.598305 0.594393 +vt 0.557892 0.597300 +vt 0.566514 0.597973 +vt 0.539514 0.596230 +vt 0.549112 0.597024 +vt 0.573449 0.597979 +vt 0.530352 0.595653 +vt 0.530538 0.587020 +vt 0.521815 0.587022 +vt 0.521546 0.579066 +vt 0.530765 0.579035 +vt 0.578373 0.589528 +vt 0.584538 0.588466 +vt 0.498269 0.588912 +vt 0.486006 0.590303 +vt 0.486711 0.581491 +vt 0.498975 0.580329 +vt 0.510699 0.587745 +vt 0.511200 0.579530 +vt 0.590481 0.587444 +vt 0.598112 0.586878 +vt 0.556931 0.588987 +vt 0.565179 0.589935 +vt 0.572331 0.590050 +vt 0.521703 0.570239 +vt 0.531288 0.570749 +vt 0.584256 0.582488 +vt 0.578141 0.582847 +vt 0.578650 0.576169 +vt 0.584866 0.576468 +vt 0.486829 0.572540 +vt 0.499323 0.571313 +vt 0.511774 0.570901 +vt 0.590714 0.582272 +vt 0.591325 0.577060 +vt 0.598370 0.582205 +vt 0.598811 0.577728 +vt 0.564536 0.582326 +vt 0.556640 0.581357 +vt 0.557075 0.573360 +vt 0.565061 0.574590 +vt 0.571974 0.582864 +vt 0.572190 0.575593 +vt 0.487950 0.703919 +vt 0.485141 0.689271 +vt 0.471302 0.614288 +vt 0.458482 0.616075 +vt 0.459638 0.602726 +vt 0.473090 0.602025 +vt 0.471166 0.633049 +vt 0.459103 0.635657 +vt 0.473869 0.652569 +vt 0.401308 0.600939 +vt 0.391068 0.601827 +vt 0.390269 0.588286 +vt 0.401185 0.587342 +vt 0.461095 0.656183 +vt 0.430243 0.661332 +vt 0.447281 0.657074 +vt 0.415037 0.599292 +vt 0.414325 0.585857 +vt 0.479291 0.672501 +vt 0.402098 0.635896 +vt 0.391003 0.638369 +vt 0.390919 0.620787 +vt 0.401965 0.618572 +vt 0.429530 0.643717 +vt 0.445424 0.638719 +vt 0.414503 0.631518 +vt 0.414808 0.615495 +vt 0.401614 0.653699 +vt 0.390802 0.656084 +vt 0.413981 0.649765 +vt 0.429230 0.623481 +vt 0.444436 0.617982 +vt 0.413508 0.666892 +vt 0.402308 0.670726 +vt 0.391805 0.673239 +vt 0.429341 0.609667 +vt 0.445099 0.604579 +vt 0.445314 0.594549 +vt 0.429162 0.597222 +vt 0.429667 0.585463 +vt 0.445926 0.584618 +vt 0.460501 0.583715 +vt 0.460386 0.593168 +vt 0.473852 0.592000 +vt 0.474088 0.582761 +vt 0.539084 0.587175 +vt 0.547957 0.588022 +vt 0.389216 0.575858 +vt 0.386687 0.572033 +vt 0.391701 0.564657 +vt 0.388441 0.564276 +vt 0.390208 0.552018 +vt 0.387505 0.556708 +vt 0.385466 0.568462 +vt 0.386589 0.563969 +vt 0.385939 0.559485 +vt 0.415375 0.574943 +vt 0.429951 0.574379 +vt 0.445567 0.574201 +vt 0.460602 0.573923 +vt 0.474040 0.573218 +vt 0.401585 0.576780 +vt 0.430538 0.563198 +vt 0.445765 0.563219 +vt 0.460759 0.563343 +vt 0.522575 0.560366 +vt 0.533093 0.560191 +vt 0.474266 0.562993 +vt 0.511785 0.561254 +vt 0.415959 0.562909 +vt 0.487055 0.562598 +vt 0.499536 0.561505 +vt 0.402741 0.563330 +vt 0.539050 0.579281 +vt 0.547969 0.580192 +vt 0.475136 0.551434 +vt 0.487437 0.551201 +vt 0.446625 0.550544 +vt 0.461978 0.551284 +vt 0.499687 0.550622 +vt 0.511966 0.550669 +vt 0.403318 0.548495 +vt 0.416513 0.548534 +vt 0.431027 0.549915 +vt 0.523748 0.549817 +vt 0.534612 0.549316 +vt 0.543796 0.549813 +vt 0.541370 0.560982 +vt 0.539388 0.571016 +vt 0.548623 0.571952 +vt 0.586400 0.568907 +vt 0.592586 0.570386 +vt 0.558334 0.564519 +vt 0.566472 0.565959 +vt 0.579954 0.568506 +vt 0.573594 0.567543 +vt 0.599509 0.571545 +vt 0.569153 0.555377 +vt 0.576442 0.557335 +vt 0.588706 0.559830 +vt 0.594840 0.561303 +vt 0.561108 0.553433 +vt 0.582759 0.558632 +vt 0.600996 0.562081 +vt 0.598059 0.548662 +vt 0.603598 0.550022 +vt 0.592551 0.548089 +vt 0.549943 0.562593 +vt 0.552533 0.551370 +vt 0.586987 0.546970 +vt 0.605726 0.541079 +vt 0.601041 0.538946 +vt 0.604117 0.528538 +vt 0.608598 0.529266 +vt 0.577181 0.531727 +vt 0.568941 0.529359 +vt 0.572660 0.518348 +vt 0.581101 0.521075 +vt 0.584772 0.534477 +vt 0.588604 0.523506 +vt 0.591079 0.536330 +vt 0.595023 0.525747 +vt 0.596225 0.537636 +vt 0.600146 0.527280 +vt 0.555959 0.538985 +vt 0.547064 0.537714 +vt 0.550491 0.526790 +vt 0.559804 0.527938 +vt 0.608085 0.517604 +vt 0.611246 0.518679 +vt 0.554256 0.515742 +vt 0.564099 0.516901 +vt 0.604753 0.516717 +vt 0.584529 0.510237 +vt 0.576578 0.507762 +vt 0.579942 0.497974 +vt 0.587591 0.500091 +vt 0.593067 0.513153 +vt 0.596763 0.502299 +vt 0.599499 0.515292 +vt 0.602784 0.503635 +vt 0.608239 0.504882 +vt 0.611889 0.505618 +vt 0.614800 0.506160 +vt 0.582647 0.489420 +vt 0.591404 0.492038 +vt 0.599463 0.493978 +vt 0.568078 0.505876 +vt 0.558262 0.504336 +vt 0.561027 0.493412 +vt 0.571257 0.495672 +vt 0.605317 0.495037 +vt 0.610789 0.495855 +vt 0.614800 0.496522 +vt 0.617496 0.497213 +vt 0.618260 0.485869 +vt 0.621940 0.486548 +vt 0.585246 0.481013 +vt 0.594320 0.483607 +vt 0.602276 0.485412 +vt 0.563155 0.483748 +vt 0.573599 0.486612 +vt 0.608339 0.486110 +vt 0.614205 0.485983 +vt 0.623983 0.475088 +vt 0.628128 0.475891 +vt 0.588209 0.472279 +vt 0.598192 0.473950 +vt 0.605560 0.476299 +vt 0.564507 0.474659 +vt 0.575492 0.477809 +vt 0.612811 0.476253 +vt 0.619080 0.475895 +vt 0.604820 0.457943 +vt 0.612673 0.462934 +vt 0.564915 0.465909 +vt 0.577066 0.469087 +vt 0.617952 0.465523 +vt 0.626172 0.465223 +vt 0.631592 0.465010 +vt 0.635452 0.466406 +vt 0.591069 0.460437 +vt 0.590014 0.449335 +vt 0.602082 0.446535 +vt 0.563836 0.457300 +vt 0.577193 0.459380 +vt 0.625759 0.456413 +vt 0.632169 0.457706 +vt 0.637073 0.459109 +vt 0.640400 0.462046 +vt 0.524401 0.538063 +vt 0.512209 0.538421 +vt 0.513347 0.526352 +vt 0.526072 0.526447 +vt 0.488596 0.538447 +vt 0.475741 0.538352 +vt 0.478283 0.524539 +vt 0.490181 0.525289 +vt 0.500317 0.538171 +vt 0.501638 0.525800 +vt 0.537003 0.537686 +vt 0.538991 0.526576 +vt 0.528627 0.514912 +vt 0.541714 0.515115 +vt 0.515352 0.513929 +vt 0.479021 0.511016 +vt 0.491656 0.512316 +vt 0.503470 0.513256 +vt 0.392490 0.469303 +vt 0.393268 0.488718 +vt 0.404061 0.473381 +vt 0.405119 0.492411 +vt 0.544971 0.503422 +vt 0.531542 0.502085 +vt 0.534128 0.489670 +vt 0.547939 0.491666 +vt 0.517968 0.500963 +vt 0.520515 0.487610 +vt 0.492756 0.498467 +vt 0.479692 0.496667 +vt 0.480639 0.481238 +vt 0.494137 0.483638 +vt 0.505833 0.500080 +vt 0.507609 0.485723 +vt 0.535951 0.478336 +vt 0.549787 0.481176 +vt 0.522098 0.475177 +vt 0.481514 0.466476 +vt 0.495131 0.469952 +vt 0.508821 0.472479 +vt 0.536687 0.468058 +vt 0.550788 0.471547 +vt 0.522721 0.464593 +vt 0.482377 0.455570 +vt 0.495400 0.459137 +vt 0.509099 0.461856 +vt 0.536211 0.458923 +vt 0.550465 0.462623 +vt 0.522550 0.455651 +vt 0.483738 0.446981 +vt 0.495699 0.450137 +vt 0.509130 0.452949 +vt 0.535677 0.451103 +vt 0.549560 0.454584 +vt 0.522487 0.447750 +vt 0.440035 0.426499 +vt 0.423875 0.418694 +vt 0.431105 0.409463 +vt 0.445285 0.417871 +vt 0.509661 0.444715 +vt 0.485367 0.438924 +vt 0.474121 0.436399 +vt 0.476943 0.428881 +vt 0.487243 0.431690 +vt 0.417564 0.478473 +vt 0.418189 0.496636 +vt 0.431908 0.484269 +vt 0.431840 0.501471 +vt 0.405090 0.511408 +vt 0.392970 0.508978 +vt 0.446429 0.536366 +vt 0.431469 0.533882 +vt 0.431803 0.517964 +vt 0.446799 0.521116 +vt 0.417332 0.531517 +vt 0.417822 0.514551 +vt 0.404299 0.529672 +vt 0.462257 0.537629 +vt 0.463042 0.523388 +vt 0.447459 0.505695 +vt 0.464389 0.509541 +vt 0.448280 0.489853 +vt 0.465547 0.493952 +vt 0.449605 0.474150 +vt 0.466186 0.478343 +vt 0.414955 0.458848 +vt 0.432456 0.468486 +vt 0.391534 0.452887 +vt 0.401696 0.453952 +vt 0.450890 0.459594 +vt 0.467399 0.463410 +vt 0.413474 0.446287 +vt 0.432842 0.454597 +vt 0.390858 0.439247 +vt 0.399588 0.441967 +vt 0.451956 0.448990 +vt 0.469184 0.452788 +vt 0.408954 0.435454 +vt 0.432718 0.443627 +vt 0.390313 0.430354 +vt 0.397995 0.432497 +vt 0.454073 0.440383 +vt 0.471623 0.444446 +vt 0.435465 0.434381 +vt 0.580722 0.545332 +vt 0.573231 0.543139 +vt 0.564915 0.540723 +vt 0.387995 0.415562 +vt 0.387302 0.401369 +vt 0.390997 0.400318 +vt 0.394368 0.415380 +vt 0.395800 0.397739 +vt 0.398945 0.414267 +vt 0.391364 0.528267 +vt 0.417044 0.425261 +vt 0.522649 0.441500 +vt 0.535794 0.444793 +vt 0.549678 0.447642 +vt 0.563408 0.448970 +vt 0.457356 0.432257 +vt 0.510327 0.438205 +vt 0.576694 0.449497 +vt 0.399328 0.382722 +vt 0.402165 0.393106 +vt 0.394766 0.386181 +vt 0.406964 0.408429 +vt 0.461183 0.423994 +vt 0.408513 0.388413 +vt 0.413968 0.402771 +vt 0.404644 0.378464 +vt 0.415007 0.383117 +vt 0.421206 0.396021 +vt 0.410110 0.373405 +vt 0.498043 0.435433 +vt 0.496695 0.442271 +vt 0.621637 0.452710 +vt 0.617017 0.446663 +vt 0.613363 0.439610 +vt 0.415876 0.367562 +vt 0.421938 0.376783 +vt 0.465306 0.415520 +vt 0.479697 0.421463 +vt 0.575822 0.442067 +vt 0.588097 0.441035 +vt 0.600076 0.437475 +vt 0.610925 0.432240 +vt 0.536367 0.439006 +vt 0.550077 0.441440 +vt 0.489428 0.425050 +vt 0.563258 0.442154 +vt 0.499597 0.429204 +vt 0.438999 0.399432 +vt 0.450964 0.408157 +vt 0.523346 0.435757 +vt 0.511234 0.432494 +vt 0.429223 0.387643 +vt 0.575464 0.433635 +vt 0.587179 0.431440 +vt 0.563201 0.434148 +vt 0.457823 0.397429 +vt 0.470167 0.405807 +vt 0.525027 0.427682 +vt 0.537522 0.430937 +vt 0.598882 0.427585 +vt 0.429655 0.368249 +vt 0.437613 0.377676 +vt 0.513230 0.424628 +vt 0.482845 0.412183 +vt 0.492356 0.416702 +vt 0.502087 0.421053 +vt 0.422456 0.360233 +vt 0.550620 0.433346 +vt 0.446853 0.388375 +vt 0.609567 0.423721 +vt 0.473104 0.370235 +vt 0.465321 0.384496 +vt 0.455246 0.375556 +vt 0.463436 0.361481 +vt 0.454825 0.352919 +vt 0.445817 0.365997 +vt 0.447269 0.345170 +vt 0.456763 0.332547 +vt 0.464039 0.339796 +vt 0.440153 0.338433 +vt 0.449879 0.326160 +vt 0.433036 0.332553 +vt 0.442917 0.320663 +vt 0.616413 0.389677 +vt 0.625033 0.387895 +vt 0.627182 0.402807 +vt 0.617752 0.405214 +vt 0.607431 0.392475 +vt 0.608428 0.408765 +vt 0.598455 0.413400 +vt 0.597833 0.396467 +vt 0.588146 0.417859 +vt 0.588204 0.400312 +vt 0.576657 0.419980 +vt 0.577754 0.402879 +vt 0.565969 0.403202 +vt 0.567100 0.385192 +vt 0.578810 0.384984 +vt 0.564399 0.420777 +vt 0.552503 0.419689 +vt 0.554872 0.402329 +vt 0.544695 0.341253 +vt 0.552583 0.342006 +vt 0.548647 0.362083 +vt 0.540280 0.360394 +vt 0.596909 0.359730 +vt 0.588534 0.362041 +vt 0.589804 0.341422 +vt 0.598264 0.340212 +vt 0.475906 0.305626 +vt 0.481731 0.311707 +vt 0.473185 0.325600 +vt 0.466465 0.318883 +vt 0.532757 0.359139 +vt 0.537482 0.339387 +vt 0.506195 0.329769 +vt 0.514113 0.334326 +vt 0.506215 0.352239 +vt 0.497909 0.347268 +vt 0.522442 0.337009 +vt 0.530118 0.338451 +vt 0.524061 0.357981 +vt 0.514799 0.355543 +vt 0.470035 0.300072 +vt 0.460026 0.312863 +vt 0.558632 0.363402 +vt 0.561590 0.342435 +vt 0.489333 0.340574 +vt 0.480368 0.333014 +vt 0.489086 0.318557 +vt 0.497732 0.324658 +vt 0.568329 0.363664 +vt 0.570718 0.342488 +vt 0.606435 0.358010 +vt 0.607276 0.339212 +vt 0.579588 0.363269 +vt 0.580777 0.342585 +vt 0.533655 0.326444 +vt 0.540536 0.327200 +vt 0.564084 0.329108 +vt 0.573571 0.329718 +vt 0.519657 0.322064 +vt 0.526886 0.325078 +vt 0.599934 0.326956 +vt 0.608672 0.326650 +vt 0.583103 0.329403 +vt 0.591805 0.328446 +vt 0.502706 0.313761 +vt 0.511180 0.318900 +vt 0.547517 0.328080 +vt 0.555281 0.328769 +vt 0.482127 0.296376 +vt 0.487817 0.301989 +vt 0.476696 0.291414 +vt 0.494871 0.309104 +vt 0.507102 0.305893 +vt 0.513918 0.309672 +vt 0.549767 0.318754 +vt 0.557487 0.319731 +vt 0.593704 0.319872 +vt 0.601594 0.318890 +vt 0.485899 0.289740 +vt 0.492187 0.295088 +vt 0.542701 0.317570 +vt 0.521881 0.312675 +vt 0.528922 0.314478 +vt 0.535867 0.316045 +vt 0.480134 0.285154 +vt 0.566428 0.320439 +vt 0.500285 0.301340 +vt 0.575787 0.320884 +vt 0.610024 0.318956 +vt 0.585226 0.320548 +vt 0.537894 0.307475 +vt 0.544751 0.309199 +vt 0.568422 0.313222 +vt 0.577544 0.313469 +vt 0.524045 0.303841 +vt 0.530966 0.305731 +vt 0.603120 0.312483 +vt 0.611211 0.312547 +vt 0.586379 0.313147 +vt 0.595170 0.312871 +vt 0.509346 0.298332 +vt 0.516728 0.301398 +vt 0.551678 0.310671 +vt 0.559213 0.312089 +vt 0.489137 0.283714 +vt 0.495633 0.288808 +vt 0.483087 0.279352 +vt 0.503995 0.295102 +vt 0.512112 0.291854 +vt 0.518955 0.293962 +vt 0.553574 0.302961 +vt 0.561106 0.304637 +vt 0.596457 0.306252 +vt 0.604282 0.306237 +vt 0.491982 0.277684 +vt 0.498385 0.282624 +vt 0.546589 0.301307 +vt 0.526008 0.295930 +vt 0.533002 0.297919 +vt 0.539636 0.299513 +vt 0.486045 0.273609 +vt 0.570365 0.306452 +vt 0.506689 0.289069 +vt 0.579193 0.306705 +vt 0.612153 0.306114 +vt 0.587658 0.306347 +vt 0.509255 0.282815 +vt 0.514626 0.285469 +vt 0.541056 0.291582 +vt 0.548316 0.293358 +vt 0.572088 0.298746 +vt 0.580834 0.299307 +vt 0.527057 0.288946 +vt 0.534209 0.290472 +vt 0.605130 0.298965 +vt 0.612824 0.298727 +vt 0.588815 0.298941 +vt 0.597389 0.298843 +vt 0.521077 0.287566 +vt 0.555174 0.294922 +vt 0.562896 0.296630 +vt 0.494929 0.271401 +vt 0.501479 0.276338 +vt 0.489240 0.267473 +vt 0.516697 0.278463 +vt 0.523139 0.280999 +vt 0.556900 0.286948 +vt 0.564526 0.288080 +vt 0.598510 0.290161 +vt 0.606063 0.290177 +vt 0.498652 0.264187 +vt 0.504950 0.269020 +vt 0.549917 0.285862 +vt 0.528763 0.282526 +vt 0.535479 0.283456 +vt 0.542668 0.284553 +vt 0.493102 0.260074 +vt 0.573669 0.289606 +vt 0.512010 0.275470 +vt 0.582097 0.290321 +vt 0.613636 0.290055 +vt 0.590029 0.290171 +vt 0.537387 0.276793 +vt 0.544307 0.277626 +vt 0.497048 0.251570 +vt 0.503224 0.255699 +vt 0.566432 0.279827 +vt 0.575284 0.280551 +vt 0.515354 0.266790 +vt 0.520042 0.270502 +vt 0.551418 0.278532 +vt 0.583735 0.281019 +vt 0.530620 0.275596 +vt 0.607375 0.280698 +vt 0.614902 0.280379 +vt 0.591928 0.281026 +vt 0.599669 0.280935 +vt 0.525164 0.273493 +vt 0.558613 0.279083 +vt 0.509126 0.260490 +vt 0.585368 0.272757 +vt 0.593640 0.272151 +vt 0.523010 0.260241 +vt 0.527631 0.264091 +vt 0.560262 0.270928 +vt 0.567915 0.271430 +vt 0.601175 0.271597 +vt 0.608547 0.270796 +vt 0.507480 0.246224 +vt 0.513043 0.250636 +vt 0.552902 0.270470 +vt 0.532833 0.266970 +vt 0.539201 0.268152 +vt 0.545536 0.269233 +vt 0.501624 0.242509 +vt 0.576858 0.272555 +vt 0.518539 0.256092 +vt 0.616284 0.270220 +vt 0.540884 0.257872 +vt 0.547359 0.259101 +vt 0.505970 0.233009 +vt 0.511797 0.236360 +vt 0.569401 0.261753 +vt 0.577800 0.263023 +vt 0.522161 0.244689 +vt 0.526206 0.248589 +vt 0.554644 0.260751 +vt 0.586597 0.262957 +vt 0.535270 0.256027 +vt 0.610100 0.260604 +vt 0.616730 0.260495 +vt 0.595155 0.262225 +vt 0.603095 0.261569 +vt 0.530375 0.252591 +vt 0.561910 0.261380 +vt 0.517175 0.240224 +vt 0.611121 0.250383 +vt 0.618142 0.250025 +vt 0.596126 0.251449 +vt 0.604522 0.251100 +vt 0.587733 0.251701 +vt 0.529442 0.236221 +vt 0.533473 0.240021 +vt 0.563455 0.250778 +vt 0.571308 0.251119 +vt 0.516910 0.226273 +vt 0.521979 0.229643 +vt 0.555876 0.249627 +vt 0.537858 0.243236 +vt 0.542906 0.245645 +vt 0.548921 0.247307 +vt 0.511046 0.223075 +vt 0.579123 0.251599 +vt 0.526093 0.233113 +vt 0.557127 0.235916 +vt 0.564607 0.237836 +vt 0.536862 0.226793 +vt 0.540870 0.229788 +vt 0.545428 0.232138 +vt 0.550766 0.233896 +vt 0.517105 0.212460 +vt 0.522505 0.215457 +vt 0.573025 0.239310 +vt 0.580918 0.239857 +vt 0.530244 0.221081 +vt 0.533320 0.223730 +vt 0.589192 0.240172 +vt 0.611995 0.239303 +vt 0.619299 0.238740 +vt 0.597207 0.240136 +vt 0.605207 0.239828 +vt 0.526823 0.218396 +vt 0.612607 0.227628 +vt 0.619706 0.226609 +vt 0.599373 0.228087 +vt 0.606569 0.228059 +vt 0.591817 0.228397 +vt 0.537693 0.210543 +vt 0.540750 0.212725 +vt 0.566384 0.224052 +vt 0.574022 0.226274 +vt 0.528239 0.203491 +vt 0.531974 0.206113 +vt 0.559243 0.221643 +vt 0.544449 0.215387 +vt 0.548493 0.217873 +vt 0.553137 0.219572 +vt 0.523513 0.200831 +vt 0.583204 0.227878 +vt 0.534957 0.208456 +vt 0.535137 0.190144 +vt 0.538512 0.192223 +vt 0.564064 0.204077 +vt 0.570391 0.205967 +vt 0.546637 0.197028 +vt 0.550006 0.198815 +vt 0.553777 0.200554 +vt 0.558147 0.202098 +vt 0.530863 0.187876 +vt 0.577961 0.208318 +vt 0.586167 0.210528 +vt 0.541275 0.194002 +vt 0.543824 0.195561 +vt 0.593918 0.211958 +vt 0.613632 0.212807 +vt 0.619529 0.211539 +vt 0.601217 0.212807 +vt 0.607910 0.213292 +vt 0.346792 0.166465 +vt 0.345972 0.159371 +vt 0.351703 0.158709 +vt 0.352436 0.165844 +vt 0.269441 0.129493 +vt 0.264656 0.127127 +vt 0.270937 0.120971 +vt 0.275654 0.123378 +vt 0.337814 0.133283 +vt 0.332621 0.134212 +vt 0.330841 0.125218 +vt 0.335798 0.124908 +vt 0.327521 0.135609 +vt 0.324652 0.126021 +vt 0.319127 0.132765 +vt 0.322210 0.138808 +vt 0.583248 0.148848 +vt 0.584043 0.141700 +vt 0.589190 0.143287 +vt 0.587345 0.149708 +vt 0.580609 0.158531 +vt 0.584570 0.159698 +vt 0.577957 0.181175 +vt 0.572715 0.179871 +vt 0.584135 0.182784 +vt 0.589415 0.161771 +vt 0.594505 0.163247 +vt 0.590751 0.184453 +vt 0.592196 0.151118 +vt 0.596328 0.153027 +vt 0.556089 0.175637 +vt 0.559104 0.176560 +vt 0.553479 0.174739 +vt 0.550802 0.173869 +vt 0.547821 0.172997 +vt 0.544255 0.171767 +vt 0.540213 0.170191 +vt 0.535854 0.168298 +vt 0.525929 0.185556 +vt 0.631503 0.209039 +vt 0.625655 0.210226 +vt 0.625688 0.189593 +vt 0.630789 0.189388 +vt 0.620025 0.189367 +vt 0.562711 0.177621 +vt 0.614515 0.188960 +vt 0.562724 0.154951 +vt 0.565399 0.155634 +vt 0.608703 0.188137 +vt 0.611875 0.165459 +vt 0.617573 0.168164 +vt 0.553676 0.153377 +vt 0.557371 0.154062 +vt 0.567149 0.178551 +vt 0.575642 0.157673 +vt 0.568223 0.156545 +vt 0.549369 0.152158 +vt 0.560010 0.154461 +vt 0.571198 0.157436 +vt 0.596906 0.185676 +vt 0.600261 0.164098 +vt 0.622335 0.169116 +vt 0.602796 0.187019 +vt 0.605543 0.164532 +vt 0.562746 0.144837 +vt 0.565171 0.144683 +vt 0.573951 0.147281 +vt 0.578113 0.147550 +vt 0.598172 0.146629 +vt 0.593948 0.144801 +vt 0.567941 0.145372 +vt 0.302941 0.101060 +vt 0.299845 0.113590 +vt 0.295578 0.114466 +vt 0.298972 0.100649 +vt 0.570730 0.146353 +vt 0.278014 0.032751 +vt 0.282456 0.032338 +vt 0.282545 0.034266 +vt 0.278263 0.034599 +vt 0.287197 0.021857 +vt 0.285995 0.024343 +vt 0.285423 0.023514 +vt 0.286242 0.020892 +vt 0.276724 0.018428 +vt 0.276623 0.019993 +vt 0.275446 0.020669 +vt 0.275211 0.017919 +vt 0.284517 0.020073 +vt 0.284579 0.022525 +vt 0.284141 0.022288 +vt 0.283698 0.020037 +vt 0.271950 0.022413 +vt 0.274195 0.024097 +vt 0.273776 0.026183 +vt 0.271711 0.025125 +vt 0.270451 0.030366 +vt 0.271114 0.028677 +vt 0.273525 0.029112 +vt 0.273551 0.031102 +vt 0.277848 0.031215 +vt 0.282023 0.031103 +vt 0.269941 0.033471 +vt 0.269918 0.031900 +vt 0.273688 0.032526 +vt 0.273449 0.034652 +vt 0.277623 0.029928 +vt 0.281656 0.029828 +vt 0.262081 0.026268 +vt 0.262564 0.024460 +vt 0.264750 0.025822 +vt 0.264618 0.027789 +vt 0.261191 0.028803 +vt 0.261766 0.027810 +vt 0.264242 0.029074 +vt 0.263778 0.030331 +vt 0.265570 0.019062 +vt 0.267236 0.020007 +vt 0.266267 0.021778 +vt 0.264219 0.020588 +vt 0.280686 0.016600 +vt 0.279661 0.016420 +vt 0.279468 0.014831 +vt 0.281252 0.015302 +vt 0.283649 0.022066 +vt 0.283015 0.020208 +vt 0.281639 0.017212 +vt 0.281224 0.017612 +vt 0.280788 0.017210 +vt 0.277249 0.019042 +vt 0.277244 0.019721 +vt 0.289347 0.028769 +vt 0.290986 0.026349 +vt 0.291821 0.027193 +vt 0.290297 0.030023 +vt 0.280507 0.027459 +vt 0.277413 0.027740 +vt 0.277541 0.025788 +vt 0.280224 0.026482 +vt 0.279957 0.025141 +vt 0.277988 0.023441 +vt 0.278220 0.022767 +vt 0.279919 0.024394 +vt 0.288177 0.027199 +vt 0.289844 0.025078 +vt 0.287271 0.026328 +vt 0.288987 0.024058 +vt 0.278421 0.022506 +vt 0.280062 0.023866 +vt 0.277147 0.017557 +vt 0.276118 0.016334 +vt 0.270380 0.021577 +vt 0.270047 0.023609 +vt 0.267928 0.029051 +vt 0.268404 0.027657 +vt 0.267055 0.032516 +vt 0.267263 0.030613 +vt 0.259684 0.025191 +vt 0.260648 0.023252 +vt 0.258662 0.027027 +vt 0.259029 0.026187 +vt 0.264454 0.018182 +vt 0.262782 0.019892 +vt 0.282658 0.016372 +vt 0.279842 0.016953 +vt 0.277538 0.018178 +vt 0.283465 0.026261 +vt 0.284522 0.028365 +vt 0.316125 0.016418 +vt 0.314095 0.016359 +vt 0.314113 0.015687 +vt 0.315661 0.015303 +vt 0.311339 0.011068 +vt 0.310916 0.011943 +vt 0.310315 0.011904 +vt 0.310726 0.010569 +vt 0.314688 0.014159 +vt 0.314009 0.014937 +vt 0.313935 0.014649 +vt 0.314477 0.013891 +vt 0.245253 0.014048 +vt 0.247003 0.013551 +vt 0.248187 0.015596 +vt 0.245560 0.017235 +vt 0.316368 0.017516 +vt 0.313843 0.017541 +vt 0.255593 0.123917 +vt 0.252017 0.122578 +vt 0.258203 0.116507 +vt 0.262071 0.117797 +vt 0.239657 0.014661 +vt 0.241465 0.014070 +vt 0.241949 0.017947 +vt 0.240109 0.018097 +vt 0.314436 0.011405 +vt 0.313656 0.010703 +vt 0.314164 0.009935 +vt 0.315051 0.011150 +vt 0.313786 0.014336 +vt 0.314100 0.013676 +vt 0.314751 0.012286 +vt 0.314239 0.012177 +vt 0.313991 0.011610 +vt 0.311561 0.011386 +vt 0.311299 0.012011 +vt 0.250219 0.121183 +vt 0.254369 0.115325 +vt 0.249019 0.017453 +vt 0.246185 0.019504 +vt 0.241971 0.020772 +vt 0.240312 0.020479 +vt 0.310993 0.016181 +vt 0.310174 0.016184 +vt 0.310102 0.015205 +vt 0.311006 0.015511 +vt 0.311174 0.014717 +vt 0.310522 0.013914 +vt 0.310750 0.013643 +vt 0.311273 0.014391 +vt 0.310952 0.017388 +vt 0.309685 0.017446 +vt 0.311231 0.013519 +vt 0.311450 0.014127 +vt 0.311977 0.010597 +vt 0.311729 0.009709 +vt 0.243554 0.013795 +vt 0.243986 0.017574 +vt 0.237991 0.015417 +vt 0.238279 0.017918 +vt 0.315204 0.012373 +vt 0.313670 0.011170 +vt 0.311917 0.011044 +vt 0.244352 0.020221 +vt 0.238294 0.019890 +vt 0.875802 0.499934 +vt 0.876470 0.501509 +vt 0.863452 0.517310 +vt 0.859322 0.509195 +vt 0.861368 0.506323 +vt 0.865685 0.512321 +vt 0.853287 0.500235 +vt 0.850422 0.496499 +vt 0.853556 0.494834 +vt 0.855985 0.498494 +vt 0.859422 0.486405 +vt 0.859928 0.489309 +vt 0.855896 0.490026 +vt 0.855095 0.486729 +vt 0.856097 0.504003 +vt 0.858543 0.502192 +vt 0.878865 0.499566 +vt 0.857189 0.510177 +vt 0.855052 0.510837 +vt 0.852491 0.505908 +vt 0.854264 0.505178 +vt 0.797160 0.489890 +vt 0.797947 0.498756 +vt 0.799151 0.508340 +vt 0.801228 0.518395 +vt 0.885039 0.494456 +vt 0.881579 0.501713 +vt 0.884610 0.498689 +vt 0.872886 0.486304 +vt 0.895350 0.505291 +vt 0.842500 0.508324 +vt 0.843037 0.507487 +vt 0.843397 0.506643 +vt 0.844075 0.505728 +vt 0.845928 0.502671 +vt 0.844823 0.504487 +vt 0.804236 0.529197 +vt 0.875860 0.503930 +vt 0.859422 0.517094 +vt 0.115458 0.583935 +vt 0.116078 0.584781 +vt 0.116906 0.585810 +vt 0.808255 0.539877 +vt 0.945925 0.490060 +vt 0.941040 0.489502 +vt 0.856516 0.517067 +vt 0.873364 0.493387 +vt 0.843338 0.567736 +vt 0.842668 0.562338 +vt 0.933955 0.495312 +vt 0.881201 0.505951 +vt 0.931065 0.501929 +vt 0.927437 0.507842 +vt 0.923506 0.512770 +vt 0.866486 0.501720 +vt 0.870087 0.504540 +vt 0.919699 0.516162 +vt 0.914956 0.516951 +vt 0.910044 0.516744 +vt 0.904903 0.514823 +vt 0.899718 0.511676 +vt 0.893622 0.507846 +vt 0.886030 0.514220 +vt 0.886858 0.508697 +vt 0.892473 0.511762 +vt 0.891691 0.517475 +vt 0.813707 0.550027 +vt 0.819898 0.559308 +vt 0.827442 0.566367 +vt 0.835623 0.571442 +vt 0.875959 0.565875 +vt 0.883162 0.559389 +vt 0.889705 0.566890 +vt 0.880910 0.573150 +vt 0.843863 0.573667 +vt 0.852046 0.574399 +vt 0.850566 0.568301 +vt 0.857669 0.567208 +vt 0.860138 0.573422 +vt 0.864604 0.564342 +vt 0.868155 0.570616 +vt 0.871306 0.559696 +vt 0.877567 0.553361 +vt 0.927041 0.546171 +vt 0.953169 0.490338 +vt 0.950341 0.490552 +vt 0.904178 0.523950 +vt 0.904544 0.519080 +vt 0.910794 0.521324 +vt 0.911632 0.526237 +vt 0.857363 0.493461 +vt 0.944575 0.496584 +vt 0.949003 0.497486 +vt 0.916973 0.521512 +vt 0.919250 0.526719 +vt 0.932280 0.519632 +vt 0.937959 0.512698 +vt 0.941935 0.515028 +vt 0.936249 0.523183 +vt 0.941956 0.504295 +vt 0.946552 0.505911 +vt 0.926167 0.524471 +vt 0.929501 0.529189 +vt 0.921518 0.532310 +vt 0.951842 0.497969 +vt 0.949648 0.506701 +vt 0.872645 0.548309 +vt 0.867242 0.554392 +vt 0.871735 0.577546 +vt 0.861404 0.558811 +vt 0.855214 0.561742 +vt 0.859131 0.496970 +vt 0.861330 0.500430 +vt 0.848964 0.562645 +vt 0.853492 0.580872 +vt 0.854679 0.587069 +vt 0.844381 0.585258 +vt 0.844232 0.579616 +vt 0.834063 0.582091 +vt 0.834962 0.576982 +vt 0.841943 0.557647 +vt 0.847320 0.557986 +vt 0.852779 0.557013 +vt 0.858320 0.554322 +vt 0.863662 0.549861 +vt 0.868321 0.544005 +vt 0.862609 0.580236 +vt 0.864810 0.587185 +vt 0.792409 0.490199 +vt 0.792573 0.499377 +vt 0.793892 0.509156 +vt 0.796204 0.520005 +vt 0.799555 0.531526 +vt 0.823579 0.576155 +vt 0.825529 0.571263 +vt 0.816999 0.563908 +vt 0.875404 0.585293 +vt 0.886377 0.581607 +vt 0.897276 0.575458 +vt 0.888972 0.551402 +vt 0.896957 0.557832 +vt 0.904154 0.530278 +vt 0.912647 0.532424 +vt 0.939443 0.495747 +vt 0.927956 0.516661 +vt 0.932615 0.510244 +vt 0.936606 0.502888 +vt 0.922809 0.520107 +vt 0.945319 0.516680 +vt 0.864189 0.503941 +vt 0.868134 0.508023 +vt 0.871618 0.518591 +vt 0.877208 0.522765 +vt 0.897805 0.520810 +vt 0.898764 0.515593 +vt 0.939834 0.526755 +vt 0.932673 0.534031 +vt 0.923962 0.538708 +vt 0.914123 0.541296 +vt 0.914977 0.553142 +vt 0.906511 0.565460 +vt 0.882506 0.545826 +vt 0.863889 0.498802 +vt 0.862111 0.495529 +vt 0.860863 0.492316 +vt 0.887852 0.504868 +vt 0.855272 0.798768 +vt 0.854190 0.809246 +vt 0.844575 0.808199 +vt 0.866805 0.782969 +vt 0.857598 0.781555 +vt 0.861917 0.763317 +vt 0.853433 0.743782 +vt 0.866506 0.745733 +vt 0.858616 0.726212 +vt 0.871531 0.728232 +vt 0.863196 0.707534 +vt 0.876642 0.708012 +vt 0.867023 0.688855 +vt 0.879400 0.687834 +vt 0.877222 0.672742 +vt 0.873753 0.662059 +vt 0.881306 0.658100 +vt 0.897025 0.527272 +vt 0.895719 0.534602 +vt 0.888838 0.530539 +vt 0.890555 0.523927 +vt 0.884579 0.520353 +vt 0.904051 0.538455 +vt 0.886313 0.538029 +vt 0.893349 0.542669 +vt 0.875021 0.529450 +vt 0.872306 0.536595 +vt 0.867574 0.532388 +vt 0.869593 0.524487 +vt 0.902277 0.547982 +vt 0.863171 0.527551 +vt 0.859740 0.525396 +vt 0.856482 0.524114 +vt 0.853338 0.522878 +vt 0.850718 0.521913 +vt 0.848565 0.521091 +vt 0.846812 0.520375 +vt 0.845523 0.519652 +vt 0.844417 0.519355 +vt 0.123240 0.584327 +vt 0.123740 0.583237 +vt 0.124241 0.582120 +vt 0.124829 0.580766 +vt 0.125697 0.578644 +vt 0.127162 0.574718 +vt 0.129372 0.567773 +vt 0.138927 0.552881 +vt 0.839501 0.518673 +vt 0.841238 0.518841 +vt 0.842553 0.518970 +vt 0.843727 0.519182 +vt 0.877250 0.541267 +vt 0.882873 0.526650 +vt 0.880480 0.533618 +vt 0.889787 0.502382 +vt 0.893811 0.501349 +vt 0.896378 0.500457 +vt 0.892030 0.491350 +vt 0.890253 0.498038 +vt 0.903618 0.493317 +vt 0.905804 0.492902 +vt 0.889184 0.494487 +vt 0.907012 0.492618 +vt 0.886852 0.026005 +vt 0.891200 0.028986 +vt 0.895969 0.032460 +vt 0.899896 0.036106 +vt 0.903553 0.041555 +vt 0.906875 0.051659 +vt 0.908195 0.064949 +vt 0.905293 0.081441 +vt 0.901402 0.096464 +vt 0.856525 0.135553 +vt 0.854454 0.135995 +vt 0.846427 0.136440 +vt 0.818358 0.643269 +vt 0.803302 0.583416 +vt 0.798798 0.588775 +vt 0.794365 0.594633 +vt 0.790609 0.601949 +vt 0.787680 0.610744 +vt 0.803047 0.606757 +vt 0.800774 0.613657 +vt 0.816507 0.590411 +vt 0.811506 0.595141 +vt 0.806988 0.600123 +vt 0.814017 0.610241 +vt 0.811905 0.615659 +vt 0.831290 0.597602 +vt 0.823285 0.600959 +vt 0.817953 0.604908 +vt 0.868749 0.654182 +vt 0.874716 0.650391 +vt 0.854837 0.657741 +vt 0.861808 0.656556 +vt 0.878783 0.645718 +vt 0.882174 0.637378 +vt 0.811337 0.621764 +vt 0.799891 0.621404 +vt 0.786843 0.620778 +vt 0.845142 0.600137 +vt 0.820867 0.631127 +vt 0.824318 0.635175 +vt 0.838979 0.647988 +vt 0.847230 0.650076 +vt 0.865509 0.610718 +vt 0.856628 0.606815 +vt 0.833813 0.637029 +vt 0.832402 0.634832 +vt 0.835219 0.632852 +vt 0.836602 0.633750 +vt 0.875763 0.626366 +vt 0.873873 0.617220 +vt 0.868836 0.644091 +vt 0.872825 0.640086 +vt 0.842050 0.606687 +vt 0.849233 0.607654 +vt 0.850226 0.610008 +vt 0.844394 0.609274 +vt 0.864651 0.640235 +vt 0.859800 0.642163 +vt 0.856376 0.636473 +vt 0.861138 0.634957 +vt 0.826555 0.608220 +vt 0.822989 0.612571 +vt 0.847581 0.604428 +vt 0.825517 0.621962 +vt 0.826546 0.617414 +vt 0.828131 0.619182 +vt 0.829325 0.623607 +vt 0.872501 0.626575 +vt 0.871208 0.631020 +vt 0.868224 0.629858 +vt 0.870039 0.626290 +vt 0.828357 0.613814 +vt 0.831227 0.614209 +vt 0.853212 0.649998 +vt 0.869181 0.634520 +vt 0.865853 0.632606 +vt 0.836332 0.607757 +vt 0.839371 0.609866 +vt 0.836264 0.639274 +vt 0.838275 0.634606 +vt 0.826673 0.638773 +vt 0.864019 0.612902 +vt 0.870505 0.618780 +vt 0.868406 0.619799 +vt 0.862501 0.614289 +vt 0.855050 0.643718 +vt 0.851626 0.643732 +vt 0.849207 0.637682 +vt 0.852715 0.637259 +vt 0.837461 0.614174 +vt 0.834484 0.616542 +vt 0.835140 0.611603 +vt 0.866490 0.624663 +vt 0.864984 0.620124 +vt 0.855426 0.614239 +vt 0.850635 0.612791 +vt 0.856350 0.611633 +vt 0.854023 0.634856 +vt 0.859669 0.633106 +vt 0.831213 0.620288 +vt 0.859866 0.616052 +vt 0.837439 0.632899 +vt 0.838906 0.633579 +vt 0.865293 0.628134 +vt 0.845777 0.612209 +vt 0.841345 0.612560 +vt 0.834633 0.631014 +vt 0.836252 0.632158 +vt 0.833894 0.631860 +vt 0.841256 0.634737 +vt 0.844349 0.635476 +vt 0.844750 0.636937 +vt 0.841058 0.635847 +vt 0.847738 0.635784 +vt 0.863009 0.631136 +vt 0.831336 0.623512 +vt 0.850766 0.635391 +vt 0.832748 0.628059 +vt 0.831130 0.628148 +vt 0.833598 0.620080 +vt 0.832535 0.623078 +vt 0.847203 0.634610 +vt 0.850413 0.634133 +vt 0.833469 0.627667 +vt 0.835111 0.630455 +vt 0.851026 0.614792 +vt 0.846726 0.614191 +vt 0.858117 0.632073 +vt 0.861380 0.630120 +vt 0.839084 0.615452 +vt 0.836245 0.617286 +vt 0.863758 0.624174 +vt 0.862193 0.620417 +vt 0.855231 0.615977 +vt 0.853121 0.633634 +vt 0.857973 0.617050 +vt 0.838035 0.632293 +vt 0.839695 0.633011 +vt 0.863241 0.627424 +vt 0.842713 0.614326 +vt 0.836640 0.631716 +vt 0.841679 0.633711 +vt 0.844737 0.634585 +vt 0.843694 0.615468 +vt 0.847372 0.615480 +vt 0.847792 0.616241 +vt 0.844415 0.616266 +vt 0.860937 0.626803 +vt 0.859327 0.629092 +vt 0.858294 0.628580 +vt 0.859831 0.626447 +vt 0.838515 0.631762 +vt 0.836970 0.631058 +vt 0.837162 0.630639 +vt 0.839111 0.630895 +vt 0.856655 0.618622 +vt 0.858572 0.620731 +vt 0.856676 0.620693 +vt 0.855526 0.619456 +vt 0.834728 0.622487 +vt 0.835509 0.620834 +vt 0.836305 0.620981 +vt 0.835412 0.622663 +vt 0.849935 0.632605 +vt 0.847666 0.632937 +vt 0.847743 0.632432 +vt 0.849885 0.632086 +vt 0.851219 0.616079 +vt 0.851287 0.616861 +vt 0.856750 0.630844 +vt 0.852130 0.632103 +vt 0.851956 0.631579 +vt 0.856297 0.630340 +vt 0.837842 0.617776 +vt 0.838887 0.618450 +vt 0.840373 0.631876 +vt 0.840740 0.631540 +vt 0.861679 0.623856 +vt 0.859958 0.623901 +vt 0.853353 0.618980 +vt 0.851238 0.617607 +vt 0.853873 0.617966 +vt 0.854523 0.620129 +vt 0.836729 0.628099 +vt 0.837756 0.629484 +vt 0.836314 0.628489 +vt 0.843623 0.631684 +vt 0.846171 0.631972 +vt 0.846131 0.632428 +vt 0.843201 0.632059 +vt 0.847556 0.631908 +vt 0.836341 0.626328 +vt 0.835579 0.626546 +vt 0.855636 0.630007 +vt 0.857480 0.628322 +vt 0.842264 0.617827 +vt 0.839678 0.618903 +vt 0.841412 0.617084 +vt 0.858092 0.624034 +vt 0.855586 0.620895 +vt 0.852789 0.623110 +vt 0.852769 0.624056 +vt 0.851611 0.624515 +vt 0.851604 0.623555 +vt 0.846999 0.619264 +vt 0.848869 0.619194 +vt 0.849082 0.620153 +vt 0.847538 0.620298 +vt 0.842367 0.625239 +vt 0.842424 0.626090 +vt 0.841103 0.627024 +vt 0.840767 0.626101 +vt 0.851530 0.622710 +vt 0.852672 0.622164 +vt 0.847815 0.627520 +vt 0.849212 0.627117 +vt 0.849996 0.627871 +vt 0.848312 0.628624 +vt 0.842470 0.628439 +vt 0.841592 0.627775 +vt 0.842664 0.626803 +vt 0.843079 0.627354 +vt 0.845505 0.627646 +vt 0.846568 0.627488 +vt 0.846754 0.628912 +vt 0.845372 0.629030 +vt 0.852495 0.625506 +vt 0.851450 0.625422 +vt 0.851524 0.622007 +vt 0.851427 0.621553 +vt 0.851910 0.620719 +vt 0.852335 0.621369 +vt 0.844489 0.627791 +vt 0.844192 0.628938 +vt 0.840589 0.623502 +vt 0.841325 0.621809 +vt 0.843748 0.622117 +vt 0.842795 0.622801 +vt 0.846928 0.630014 +vt 0.845375 0.630099 +vt 0.843884 0.629894 +vt 0.839804 0.627791 +vt 0.839343 0.626773 +vt 0.846280 0.618372 +vt 0.848594 0.618306 +vt 0.845264 0.619978 +vt 0.844118 0.619146 +vt 0.853871 0.623008 +vt 0.854174 0.624597 +vt 0.841884 0.629357 +vt 0.840560 0.628654 +vt 0.852465 0.620030 +vt 0.853061 0.620777 +vt 0.839528 0.620917 +vt 0.841530 0.619868 +vt 0.843590 0.620698 +vt 0.852955 0.628439 +vt 0.850879 0.629129 +vt 0.851640 0.627154 +vt 0.850871 0.619945 +vt 0.851002 0.619064 +vt 0.853423 0.621790 +vt 0.854086 0.627507 +vt 0.840631 0.625052 +vt 0.838945 0.624979 +vt 0.848779 0.629657 +vt 0.838899 0.622494 +vt 0.840382 0.616213 +vt 0.854420 0.616784 +vt 0.831907 0.610074 +vt 0.851503 0.631124 +vt 0.851546 0.630040 +vt 0.854917 0.629411 +vt 0.837038 0.621105 +vt 0.840495 0.619329 +vt 0.837723 0.621187 +vt 0.840988 0.631048 +vt 0.839221 0.630422 +vt 0.839682 0.629659 +vt 0.841233 0.630518 +vt 0.858554 0.626090 +vt 0.856915 0.625771 +vt 0.856042 0.623368 +vt 0.845024 0.616947 +vt 0.848118 0.616882 +vt 0.848375 0.617518 +vt 0.845610 0.617611 +vt 0.856289 0.627958 +vt 0.838320 0.628639 +vt 0.854675 0.621278 +vt 0.853799 0.620385 +vt 0.836190 0.622649 +vt 0.836963 0.622752 +vt 0.849801 0.631551 +vt 0.847081 0.631337 +vt 0.849204 0.630588 +vt 0.851180 0.618279 +vt 0.843082 0.618467 +vt 0.846018 0.632736 +vt 0.845136 0.621632 +vt 0.850872 0.620849 +vt 0.842348 0.624387 +vt 0.843023 0.632518 +vt 0.835701 0.629841 +vt 0.834880 0.626576 +vt 0.850556 0.626415 +vt 0.846200 0.620917 +vt 0.847313 0.621746 +vt 0.845841 0.622282 +vt 0.847895 0.621266 +vt 0.849125 0.621227 +vt 0.850237 0.621776 +vt 0.850281 0.622216 +vt 0.850165 0.622803 +vt 0.850134 0.623496 +vt 0.850110 0.624276 +vt 0.850234 0.625034 +vt 0.850393 0.625591 +vt 0.849640 0.626063 +vt 0.848490 0.626384 +vt 0.847275 0.626391 +vt 0.846271 0.626282 +vt 0.845508 0.626343 +vt 0.844756 0.626529 +vt 0.844037 0.626234 +vt 0.843819 0.625696 +vt 0.843672 0.625085 +vt 0.843567 0.624439 +vt 0.843532 0.623797 +vt 0.844018 0.622948 +vt 0.844790 0.622617 +vt 0.847013 0.625631 +vt 0.846334 0.625464 +vt 0.845266 0.623177 +vt 0.846144 0.622917 +vt 0.837173 0.626073 +vt 0.848184 0.625574 +vt 0.849217 0.625452 +vt 0.847483 0.622405 +vt 0.847497 0.623355 +vt 0.846269 0.623588 +vt 0.845377 0.624321 +vt 0.845394 0.623755 +vt 0.846340 0.624186 +vt 0.848266 0.622248 +vt 0.848355 0.623290 +vt 0.849213 0.622510 +vt 0.849165 0.623218 +vt 0.849126 0.623962 +vt 0.848341 0.624109 +vt 0.847379 0.624063 +vt 0.848228 0.624821 +vt 0.847062 0.624932 +vt 0.846331 0.624866 +vt 0.845373 0.624888 +vt 0.845410 0.625509 +vt 0.849108 0.624723 +vt 0.852950 0.619662 +vt 0.837825 0.627498 +vt 0.843784 0.631081 +vt 0.845488 0.631313 +vt 0.829995 0.632673 +vt 0.826530 0.628746 +vt 0.846453 0.643188 +vt 0.839969 0.642222 +vt 0.856637 0.609691 +vt 0.829918 0.641719 +vt 0.838308 0.603390 +vt 0.863805 0.646862 +vt 0.820363 0.622820 +vt 0.821140 0.616700 +vt 0.876342 0.633248 +vt 0.831385 0.605201 +vt 0.833352 0.644760 +vt 0.858198 0.648765 +vt 0.286615 0.032500 +vt 0.292184 0.034743 +vt 0.288542 0.037615 +vt 0.294633 0.030249 +vt 0.268376 0.042841 +vt 0.272980 0.042212 +vt 0.273275 0.045920 +vt 0.268214 0.045472 +vt 0.296348 0.034215 +vt 0.293932 0.038535 +vt 0.264966 0.045306 +vt 0.265064 0.042082 +vt 0.258669 0.032890 +vt 0.260594 0.036333 +vt 0.258144 0.039621 +vt 0.256842 0.035885 +vt 0.256516 0.029821 +vt 0.257473 0.029358 +vt 0.278291 0.042192 +vt 0.282832 0.040523 +vt 0.283887 0.044278 +vt 0.278548 0.045954 +vt 0.268397 0.049881 +vt 0.264979 0.049010 +vt 0.254112 0.041588 +vt 0.254278 0.037026 +vt 0.255075 0.030144 +vt 0.284504 0.049245 +vt 0.279120 0.049949 +vt 0.273535 0.050408 +vt 0.300546 0.036249 +vt 0.298366 0.045660 +vt 0.240515 0.024093 +vt 0.242977 0.025205 +vt 0.242923 0.025951 +vt 0.240546 0.025118 +vt 0.308937 0.020549 +vt 0.310842 0.020410 +vt 0.310361 0.021685 +vt 0.308519 0.021860 +vt 0.247378 0.023052 +vt 0.249970 0.021116 +vt 0.250588 0.022519 +vt 0.247720 0.024543 +vt 0.253840 0.137064 +vt 0.248206 0.141967 +vt 0.243494 0.138244 +vt 0.249661 0.134188 +vt 0.246106 0.131603 +vt 0.242250 0.133247 +vt 0.308182 0.025954 +vt 0.308172 0.023540 +vt 0.310349 0.023957 +vt 0.310166 0.026570 +vt 0.248358 0.026618 +vt 0.248129 0.025691 +vt 0.251425 0.023202 +vt 0.252176 0.023916 +vt 0.245853 0.027836 +vt 0.245595 0.027082 +vt 0.240674 0.027644 +vt 0.240526 0.026319 +vt 0.243044 0.027173 +vt 0.243195 0.028161 +vt 0.237911 0.026525 +vt 0.237882 0.025302 +vt 0.316867 0.023222 +vt 0.317195 0.025822 +vt 0.314391 0.026386 +vt 0.314322 0.023989 +vt 0.238044 0.024178 +vt 0.245349 0.025847 +vt 0.244855 0.129245 +vt 0.241904 0.130503 +vt 0.244071 0.127186 +vt 0.241462 0.128332 +vt 0.316804 0.021729 +vt 0.314221 0.021810 +vt 0.238880 0.131019 +vt 0.239045 0.128764 +vt 0.238270 0.133941 +vt 0.238199 0.023234 +vt 0.313747 0.020458 +vt 0.316626 0.020820 +vt 0.245203 0.025003 +vt 0.277842 0.114460 +vt 0.283312 0.105757 +vt 0.287524 0.107809 +vt 0.281816 0.116922 +vt 0.318255 0.030753 +vt 0.315298 0.034214 +vt 0.314724 0.031129 +vt 0.318053 0.029204 +vt 0.249752 0.032811 +vt 0.247229 0.034874 +vt 0.246777 0.032198 +vt 0.249203 0.031304 +vt 0.240671 0.031123 +vt 0.243442 0.032760 +vt 0.243142 0.035084 +vt 0.240854 0.033031 +vt 0.237696 0.029505 +vt 0.237848 0.028674 +vt 0.307714 0.030729 +vt 0.309384 0.031696 +vt 0.308890 0.034938 +vt 0.306685 0.033113 +vt 0.258743 0.140067 +vt 0.252802 0.145196 +vt 0.253211 0.025463 +vt 0.253524 0.026358 +vt 0.319683 0.036521 +vt 0.317054 0.043146 +vt 0.252395 0.036489 +vt 0.249834 0.040001 +vt 0.236905 0.138727 +vt 0.266168 0.119049 +vt 0.259808 0.125388 +vt 0.240674 0.039108 +vt 0.238076 0.034053 +vt 0.236453 0.029767 +vt 0.306294 0.042395 +vt 0.302939 0.035484 +vt 0.254481 0.028214 +vt 0.338672 0.025055 +vt 0.335936 0.024742 +vt 0.336044 0.024261 +vt 0.338575 0.024181 +vt 0.335223 0.020033 +vt 0.334949 0.020370 +vt 0.334128 0.019518 +vt 0.334671 0.018651 +vt 0.337625 0.023197 +vt 0.336146 0.023501 +vt 0.336319 0.022892 +vt 0.337417 0.022758 +vt 0.226818 0.020562 +vt 0.227422 0.020099 +vt 0.228884 0.022198 +vt 0.227785 0.022847 +vt 0.338610 0.025930 +vt 0.335909 0.025652 +vt 0.222092 0.022029 +vt 0.223279 0.021460 +vt 0.224335 0.024361 +vt 0.222866 0.024647 +vt 0.337351 0.020945 +vt 0.336987 0.020307 +vt 0.337909 0.019387 +vt 0.338548 0.020333 +vt 0.336375 0.022713 +vt 0.337125 0.022666 +vt 0.337396 0.021423 +vt 0.336955 0.021417 +vt 0.336931 0.021112 +vt 0.335479 0.020455 +vt 0.335303 0.020640 +vt 0.229514 0.023410 +vt 0.228309 0.024443 +vt 0.224887 0.026383 +vt 0.223201 0.026678 +vt 0.333697 0.023853 +vt 0.331723 0.022083 +vt 0.332878 0.021779 +vt 0.333898 0.023403 +vt 0.334305 0.022600 +vt 0.333444 0.021663 +vt 0.334101 0.021690 +vt 0.334755 0.022343 +vt 0.333364 0.024644 +vt 0.331202 0.022656 +vt 0.334545 0.021680 +vt 0.334979 0.022215 +vt 0.335968 0.019806 +vt 0.336035 0.018491 +vt 0.225508 0.020790 +vt 0.226416 0.023497 +vt 0.221340 0.022440 +vt 0.221636 0.024747 +vt 0.338518 0.021619 +vt 0.336840 0.020640 +vt 0.335891 0.020254 +vt 0.226903 0.025395 +vt 0.221663 0.026493 +vt 0.223713 0.029303 +vt 0.226048 0.029474 +vt 0.226088 0.030181 +vt 0.223925 0.030330 +vt 0.330087 0.024865 +vt 0.332694 0.026341 +vt 0.331993 0.027267 +vt 0.329792 0.025865 +vt 0.229790 0.027481 +vt 0.231111 0.025767 +vt 0.231830 0.026695 +vt 0.230274 0.028189 +vt 0.328008 0.028458 +vt 0.329129 0.027075 +vt 0.331103 0.028920 +vt 0.330469 0.030758 +vt 0.230952 0.029333 +vt 0.230709 0.028790 +vt 0.232298 0.027570 +vt 0.232724 0.028488 +vt 0.228896 0.030499 +vt 0.228637 0.029945 +vt 0.224388 0.032188 +vt 0.224103 0.031218 +vt 0.226302 0.030948 +vt 0.226547 0.031632 +vt 0.221444 0.032539 +vt 0.221299 0.031476 +vt 0.336827 0.030389 +vt 0.336448 0.032157 +vt 0.333904 0.031944 +vt 0.334960 0.030481 +vt 0.221383 0.030319 +vt 0.228345 0.029279 +vt 0.337255 0.029138 +vt 0.335311 0.028593 +vt 0.221497 0.029384 +vt 0.335415 0.027370 +vt 0.337622 0.028354 +vt 0.228027 0.028681 +vt 0.335656 0.038591 +vt 0.332163 0.039890 +vt 0.332743 0.037495 +vt 0.335578 0.036990 +vt 0.232139 0.032732 +vt 0.231256 0.037070 +vt 0.230216 0.034810 +vt 0.231768 0.031615 +vt 0.225484 0.035832 +vt 0.227801 0.035530 +vt 0.228273 0.039084 +vt 0.224766 0.038180 +vt 0.222000 0.036259 +vt 0.222096 0.035472 +vt 0.325713 0.031418 +vt 0.327605 0.035404 +vt 0.326557 0.038039 +vt 0.325072 0.032731 +vt 0.233506 0.029955 +vt 0.234155 0.030399 +vt 0.335810 0.043993 +vt 0.330996 0.046550 +vt 0.235084 0.034370 +vt 0.234016 0.040792 +vt 0.228458 0.045529 +vt 0.223904 0.041025 +vt 0.220978 0.037217 +vt 0.323674 0.044596 +vt 0.322840 0.036934 +vt 0.235412 0.030041 +vt 0.354988 0.041815 +vt 0.353390 0.040697 +vt 0.353658 0.040257 +vt 0.355126 0.041005 +vt 0.354091 0.035981 +vt 0.353521 0.036237 +vt 0.353227 0.035456 +vt 0.354156 0.035120 +vt 0.354776 0.039734 +vt 0.353919 0.039505 +vt 0.354213 0.039216 +vt 0.354793 0.039376 +vt 0.211077 0.035303 +vt 0.212197 0.034490 +vt 0.213433 0.034980 +vt 0.213184 0.036582 +vt 0.354622 0.042546 +vt 0.353034 0.041207 +vt 0.207616 0.038059 +vt 0.208872 0.037448 +vt 0.210548 0.039396 +vt 0.209086 0.039962 +vt 0.355989 0.038292 +vt 0.356048 0.037509 +vt 0.356991 0.037388 +vt 0.356499 0.038448 +vt 0.354249 0.038919 +vt 0.354886 0.038882 +vt 0.355473 0.038897 +vt 0.355221 0.038660 +vt 0.355577 0.038252 +vt 0.354026 0.036300 +vt 0.353639 0.036500 +vt 0.214474 0.035611 +vt 0.214186 0.038035 +vt 0.211495 0.041181 +vt 0.209821 0.041351 +vt 0.351266 0.038306 +vt 0.350684 0.036737 +vt 0.351206 0.036349 +vt 0.351675 0.038124 +vt 0.352355 0.037834 +vt 0.352168 0.036660 +vt 0.352582 0.036919 +vt 0.352685 0.037626 +vt 0.350731 0.038665 +vt 0.350168 0.037091 +vt 0.353021 0.036945 +vt 0.352956 0.037474 +vt 0.354719 0.036007 +vt 0.355028 0.035251 +vt 0.210353 0.036110 +vt 0.212404 0.037997 +vt 0.206696 0.038734 +vt 0.207618 0.040286 +vt 0.355805 0.039223 +vt 0.355488 0.037577 +vt 0.354620 0.036512 +vt 0.213627 0.039348 +vt 0.208212 0.041427 +vt 0.210283 0.042774 +vt 0.212154 0.042204 +vt 0.213155 0.044132 +vt 0.210695 0.044723 +vt 0.348230 0.038618 +vt 0.348924 0.040621 +vt 0.347692 0.041446 +vt 0.346393 0.039704 +vt 0.215518 0.039498 +vt 0.216329 0.036905 +vt 0.217938 0.037461 +vt 0.217262 0.039946 +vt 0.344354 0.041316 +vt 0.345018 0.040157 +vt 0.346605 0.042693 +vt 0.345313 0.043911 +vt 0.218143 0.041021 +vt 0.217806 0.040104 +vt 0.218488 0.037819 +vt 0.219046 0.038140 +vt 0.216717 0.042766 +vt 0.216350 0.042263 +vt 0.211048 0.046363 +vt 0.210839 0.045873 +vt 0.213324 0.044648 +vt 0.213923 0.045005 +vt 0.209359 0.046901 +vt 0.209073 0.046016 +vt 0.351245 0.046452 +vt 0.350320 0.047699 +vt 0.348486 0.046787 +vt 0.349657 0.045318 +vt 0.209045 0.044851 +vt 0.216030 0.041644 +vt 0.352154 0.045217 +vt 0.350582 0.044360 +vt 0.208611 0.043049 +vt 0.351420 0.043002 +vt 0.353087 0.043625 +vt 0.214583 0.040352 +vt 0.349774 0.053203 +vt 0.346554 0.053402 +vt 0.346955 0.050926 +vt 0.349800 0.051431 +vt 0.220504 0.043519 +vt 0.220494 0.046826 +vt 0.218770 0.044929 +vt 0.219809 0.042938 +vt 0.212982 0.048691 +vt 0.215676 0.047963 +vt 0.216803 0.049959 +vt 0.214488 0.050558 +vt 0.210345 0.049868 +vt 0.209958 0.048973 +vt 0.341622 0.043193 +vt 0.342202 0.047551 +vt 0.340475 0.049976 +vt 0.340389 0.043666 +vt 0.220012 0.038786 +vt 0.220435 0.039291 +vt 0.347433 0.057277 +vt 0.342758 0.057969 +vt 0.222765 0.042018 +vt 0.224340 0.048512 +vt 0.218722 0.055228 +vt 0.215847 0.054050 +vt 0.210359 0.051058 +vt 0.337370 0.053596 +vt 0.338686 0.046657 +vt 0.220769 0.038010 +vt 0.353900 0.065202 +vt 0.355898 0.067290 +vt 0.354797 0.069251 +vt 0.352564 0.067199 +vt 0.353855 0.072449 +vt 0.350772 0.070787 +vt 0.312642 0.014681 +vt 0.312663 0.014290 +vt 0.347899 0.068535 +vt 0.348887 0.075361 +vt 0.345378 0.074001 +vt 0.213440 0.059681 +vt 0.211683 0.063082 +vt 0.209527 0.062617 +vt 0.211450 0.059671 +vt 0.209936 0.052133 +vt 0.212958 0.056489 +vt 0.211251 0.056606 +vt 0.209110 0.052553 +vt 0.208207 0.064273 +vt 0.209872 0.065261 +vt 0.357890 0.070844 +vt 0.358227 0.068806 +vt 0.354545 0.053604 +vt 0.353439 0.056859 +vt 0.352217 0.056862 +vt 0.353616 0.053522 +vt 0.210113 0.051460 +vt 0.214612 0.056238 +vt 0.214265 0.064718 +vt 0.211484 0.067589 +vt 0.357030 0.073767 +vt 0.348601 0.059205 +vt 0.353059 0.053795 +vt 0.242474 0.013878 +vt 0.242981 0.017782 +vt 0.312370 0.017398 +vt 0.312215 0.020626 +vt 0.349014 0.042878 +vt 0.347941 0.044161 +vt 0.312771 0.012241 +vt 0.312715 0.013609 +vt 0.312226 0.021822 +vt 0.332597 0.029855 +vt 0.331922 0.031495 +vt 0.335223 0.023042 +vt 0.335398 0.022649 +vt 0.311721 0.036053 +vt 0.311902 0.032030 +vt 0.312514 0.016302 +vt 0.311042 0.046171 +vt 0.352807 0.053359 +vt 0.312873 0.010560 +vt 0.312933 0.009607 +vt 0.227065 0.029130 +vt 0.227249 0.029786 +vt 0.312171 0.026757 +vt 0.312516 0.015642 +vt 0.250727 0.128652 +vt 0.254125 0.130603 +vt 0.334487 0.025200 +vt 0.334663 0.024297 +vt 0.234144 0.133299 +vt 0.231118 0.137154 +vt 0.318452 0.106235 +vt 0.321881 0.108816 +vt 0.319156 0.120845 +vt 0.315371 0.117315 +vt 0.324907 0.144458 +vt 0.330279 0.141948 +vt 0.332088 0.148112 +vt 0.326656 0.150026 +vt 0.325980 0.111499 +vt 0.306832 0.100993 +vt 0.310288 0.101307 +vt 0.306690 0.112678 +vt 0.303421 0.112642 +vt 0.230042 0.131312 +vt 0.226503 0.134204 +vt 0.313108 0.102547 +vt 0.315826 0.104127 +vt 0.312301 0.114845 +vt 0.309624 0.113568 +vt 0.304082 0.120259 +vt 0.306914 0.121013 +vt 0.309390 0.122193 +vt 0.568445 0.138380 +vt 0.566221 0.138598 +vt 0.343445 0.147423 +vt 0.345029 0.152840 +vt 0.339096 0.153149 +vt 0.337440 0.146863 +vt 0.579292 0.140612 +vt 0.292290 0.097425 +vt 0.295520 0.098972 +vt 0.291148 0.110558 +vt 0.575848 0.139912 +vt 0.268641 0.102227 +vt 0.262833 0.102098 +vt 0.265398 0.092323 +vt 0.270843 0.092157 +vt 0.276540 0.092902 +vt 0.272897 0.102551 +vt 0.335144 0.140630 +vt 0.343127 0.097038 +vt 0.350339 0.082332 +vt 0.353652 0.083336 +vt 0.348913 0.097273 +vt 0.338032 0.096832 +vt 0.344721 0.082130 +vt 0.214430 0.104233 +vt 0.218324 0.104190 +vt 0.218888 0.114853 +vt 0.214575 0.115008 +vt 0.261414 0.079566 +vt 0.265943 0.078293 +vt 0.259895 0.092729 +vt 0.255751 0.079531 +vt 0.254589 0.093115 +vt 0.250629 0.079591 +vt 0.249597 0.093842 +vt 0.245247 0.094880 +vt 0.245540 0.080333 +vt 0.241160 0.096739 +vt 0.241648 0.081840 +vt 0.237687 0.098363 +vt 0.237701 0.083381 +vt 0.225713 0.114090 +vt 0.222412 0.114527 +vt 0.221719 0.104141 +vt 0.225098 0.104157 +vt 0.228825 0.113454 +vt 0.228863 0.102210 +vt 0.334901 0.095594 +vt 0.340558 0.080862 +vt 0.329914 0.094533 +vt 0.336637 0.079155 +vt 0.326565 0.092885 +vt 0.332579 0.077653 +vt 0.234503 0.084959 +vt 0.234698 0.099799 +vt 0.231896 0.101051 +vt 0.231583 0.086304 +vt 0.244293 0.027170 +vt 0.244510 0.028024 +vt 0.245107 0.035201 +vt 0.245096 0.032531 +vt 0.258593 0.132869 +vt 0.263541 0.135435 +vt 0.323410 0.091155 +vt 0.329462 0.076343 +vt 0.228520 0.087378 +vt 0.225085 0.087996 +vt 0.222240 0.088456 +vt 0.231548 0.124907 +vt 0.234235 0.127724 +vt 0.232756 0.129312 +vt 0.229412 0.126136 +vt 0.219450 0.089004 +vt 0.215776 0.089886 +vt 0.320134 0.088857 +vt 0.326273 0.073990 +vt 0.317199 0.087477 +vt 0.323118 0.072228 +vt 0.314568 0.086761 +vt 0.319288 0.071826 +vt 0.310992 0.086239 +vt 0.315831 0.070906 +vt 0.311158 0.070325 +vt 0.307391 0.085958 +vt 0.303168 0.085620 +vt 0.306919 0.070163 +vt 0.298915 0.084117 +vt 0.302648 0.070145 +vt 0.235824 0.130758 +vt 0.236570 0.128674 +vt 0.341031 0.140452 +vt 0.350796 0.152990 +vt 0.356093 0.152827 +vt 0.357337 0.158462 +vt 0.247772 0.127076 +vt 0.295283 0.082686 +vt 0.297236 0.071152 +vt 0.291766 0.070475 +vt 0.290399 0.081130 +vt 0.246565 0.125219 +vt 0.284013 0.080587 +vt 0.284754 0.070185 +vt 0.557634 0.145122 +vt 0.560919 0.139683 +vt 0.563784 0.139197 +vt 0.560431 0.145281 +vt 0.263642 0.109888 +vt 0.267939 0.110796 +vt 0.278456 0.104097 +vt 0.282035 0.093955 +vt 0.287813 0.095789 +vt 0.552130 0.145258 +vt 0.339259 0.167964 +vt 0.334360 0.168628 +vt 0.334525 0.161509 +vt 0.339554 0.160448 +vt 0.273244 0.112383 +vt 0.349375 0.147634 +vt 0.354714 0.147612 +vt 0.295734 0.123747 +vt 0.298619 0.121976 +vt 0.290801 0.129526 +vt 0.288203 0.124156 +vt 0.268725 0.138145 +vt 0.264176 0.143101 +vt 0.273344 0.140806 +vt 0.268613 0.145775 +vt 0.263424 0.151367 +vt 0.259461 0.148707 +vt 0.611706 0.158124 +vt 0.606232 0.155544 +vt 0.622633 0.162237 +vt 0.617628 0.160978 +vt 0.627436 0.169646 +vt 0.632166 0.169911 +vt 0.217583 0.122428 +vt 0.222289 0.122189 +vt 0.226002 0.127445 +vt 0.221306 0.128990 +vt 0.225847 0.121576 +vt 0.228509 0.120655 +vt 0.601580 0.154216 +vt 0.328174 0.155916 +vt 0.333596 0.154220 +vt 0.329307 0.162364 +vt 0.611918 0.153424 +vt 0.607152 0.150872 +vt 0.622967 0.157607 +vt 0.617715 0.156077 +vt 0.602511 0.148674 +vt 0.554342 0.140803 +vt 0.272854 0.148650 +vt 0.267306 0.154077 +vt 0.570725 0.138633 +vt 0.572847 0.139047 +vt 0.277499 0.144018 +vt 0.343652 0.133037 +vt 0.346314 0.140232 +vt 0.329475 0.169286 +vt 0.315488 0.127834 +vt 0.301286 0.120542 +vt 0.312379 0.124760 +vt 0.340474 0.112674 +vt 0.345323 0.113115 +vt 0.312870 0.011517 +vt 0.258652 0.109264 +vt 0.336506 0.112125 +vt 0.285327 0.120022 +vt 0.280010 0.126314 +vt 0.283640 0.129731 +vt 0.286992 0.133911 +vt 0.387221 0.391101 +vt 0.389818 0.389994 +vt 0.549383 0.140449 +vt 0.547736 0.144551 +vt 0.340722 0.124985 +vt 0.278367 0.079585 +vt 0.278536 0.069303 +vt 0.231110 0.119440 +vt 0.233355 0.123634 +vt 0.351827 0.140613 +vt 0.235005 0.126453 +vt 0.331385 0.112050 +vt 0.345446 0.125195 +vt 0.348792 0.133199 +vt 0.271298 0.078858 +vt 0.271935 0.067986 +vt 0.545007 0.150581 +vt 0.350776 0.061131 +vt 0.352519 0.060669 +vt 0.347137 0.063598 +vt 0.352785 0.063097 +vt 0.351080 0.064546 +vt 0.355485 0.036713 +vt 0.356308 0.036128 +vt 0.354356 0.037506 +vt 0.353969 0.037831 +vt 0.243188 0.020550 +vt 0.265985 0.066083 +vt 0.262165 0.064583 +vt 0.352676 0.052196 +vt 0.256928 0.063346 +vt 0.251440 0.062519 +vt 0.312633 0.014982 +vt 0.358357 0.164726 +vt 0.356559 0.040946 +vt 0.356594 0.042933 +vt 0.356200 0.044201 +vt 0.348470 0.035083 +vt 0.346253 0.035935 +vt 0.355142 0.045528 +vt 0.354061 0.047073 +vt 0.353287 0.047979 +vt 0.353013 0.048887 +vt 0.351215 0.034235 +vt 0.349724 0.034717 +vt 0.212682 0.040380 +vt 0.213642 0.041447 +vt 0.344670 0.036787 +vt 0.344008 0.036952 +vt 0.343343 0.037138 +vt 0.352488 0.051175 +vt 0.232067 0.112317 +vt 0.274707 0.132055 +vt 0.279113 0.134962 +vt 0.282685 0.138645 +vt 0.634763 0.159076 +vt 0.633561 0.163397 +vt 0.628321 0.163062 +vt 0.629239 0.158786 +vt 0.246458 0.062494 +vt 0.241757 0.063605 +vt 0.236159 0.065376 +vt 0.232754 0.067240 +vt 0.257290 0.102654 +vt 0.252516 0.102965 +vt 0.248283 0.104512 +vt 0.244650 0.105789 +vt 0.237611 0.109492 +vt 0.234703 0.111296 +vt 0.241524 0.107243 +vt 0.240754 0.126067 +vt 0.243620 0.124962 +vt 0.251241 0.114192 +vt 0.254341 0.109138 +vt 0.236745 0.126796 +vt 0.238732 0.126697 +vt 0.245886 0.122410 +vt 0.233275 0.118407 +vt 0.235629 0.117511 +vt 0.237515 0.122290 +vt 0.235251 0.123242 +vt 0.241659 0.114947 +vt 0.244592 0.113571 +vt 0.244925 0.119307 +vt 0.242331 0.120469 +vt 0.238216 0.116407 +vt 0.248271 0.111971 +vt 0.239452 0.121610 +vt 0.251476 0.108360 +vt 0.248390 0.119310 +vt 0.229661 0.069268 +vt 0.226919 0.071115 +vt 0.218997 0.048687 +vt 0.217239 0.046370 +vt 0.278767 0.017446 +vt 0.278441 0.016854 +vt 0.277622 0.015206 +vt 0.291953 0.051523 +vt 0.289802 0.041910 +vt 0.297030 0.023498 +vt 0.294818 0.021926 +vt 0.285738 0.030759 +vt 0.284985 0.029526 +vt 0.291332 0.018979 +vt 0.287389 0.017121 +vt 0.283112 0.025480 +vt 0.282558 0.024391 +vt 0.282265 0.023867 +vt 0.281943 0.023168 +vt 0.281016 0.021249 +vt 0.279001 0.018099 +vt 0.279278 0.018599 +vt 0.262881 0.039469 +vt 0.265298 0.031510 +vt 0.268888 0.020639 +vt 0.268180 0.022703 +vt 0.259983 0.045708 +vt 0.261751 0.042790 +vt 0.265684 0.029956 +vt 0.266174 0.028558 +vt 0.266564 0.026851 +vt 0.244540 0.044982 +vt 0.244113 0.025931 +vt 0.244080 0.025138 +vt 0.312883 0.011032 +vt 0.319604 0.021194 +vt 0.318997 0.017958 +vt 0.312248 0.024240 +vt 0.224057 0.072562 +vt 0.220860 0.074098 +vt 0.217282 0.075429 +vt 0.214129 0.076583 +vt 0.326878 0.048097 +vt 0.329147 0.040242 +vt 0.329836 0.037490 +vt 0.333406 0.027918 +vt 0.333859 0.026848 +vt 0.329246 0.021152 +vt 0.327963 0.023477 +vt 0.334843 0.023823 +vt 0.335484 0.022459 +vt 0.335762 0.022000 +vt 0.336227 0.020912 +vt 0.336119 0.021161 +vt 0.336384 0.020408 +vt 0.336615 0.019964 +vt 0.337090 0.018801 +vt 0.332332 0.018991 +vt 0.330149 0.020289 +vt 0.225926 0.025923 +vt 0.327437 0.024436 +vt 0.326841 0.025166 +vt 0.326134 0.025875 +vt 0.324704 0.026855 +vt 0.324013 0.027412 +vt 0.323361 0.028838 +vt 0.322030 0.028479 +vt 0.322045 0.026960 +vt 0.321427 0.026384 +vt 0.320229 0.024450 +vt 0.319896 0.023237 +vt 0.319758 0.022120 +vt 0.318545 0.016100 +vt 0.317183 0.013924 +vt 0.308720 0.013170 +vt 0.307477 0.015206 +vt 0.306906 0.017079 +vt 0.305594 0.020568 +vt 0.305059 0.022019 +vt 0.305137 0.023061 +vt 0.305068 0.024050 +vt 0.303918 0.025590 +vt 0.302928 0.025895 +vt 0.300906 0.026410 +vt 0.299260 0.025107 +vt 0.297789 0.024393 +vt 0.294026 0.021312 +vt 0.293234 0.020319 +vt 0.285266 0.015976 +vt 0.340344 0.022796 +vt 0.341085 0.025087 +vt 0.340937 0.026796 +vt 0.340000 0.029400 +vt 0.339675 0.030247 +vt 0.339340 0.031329 +vt 0.339244 0.032375 +vt 0.227732 0.031112 +vt 0.229004 0.035188 +vt 0.339687 0.035422 +vt 0.340003 0.036201 +vt 0.339707 0.037727 +vt 0.340580 0.038128 +vt 0.341542 0.036955 +vt 0.342149 0.037290 +vt 0.338939 0.058134 +vt 0.342446 0.052743 +vt 0.344365 0.049892 +vt 0.215422 0.043828 +vt 0.346867 0.045475 +vt 0.350031 0.041672 +vt 0.351785 0.040081 +vt 0.352201 0.039621 +vt 0.352546 0.039282 +vt 0.353050 0.038759 +vt 0.353370 0.038510 +vt 0.353611 0.038220 +vt 0.354724 0.037242 +vt 0.355062 0.037045 +vt 0.209679 0.036718 +vt 0.211524 0.038742 +vt 0.214659 0.042846 +vt 0.215180 0.043382 +vt 0.222437 0.053944 +vt 0.224370 0.021009 +vt 0.225362 0.023926 +vt 0.227498 0.030507 +vt 0.229782 0.038122 +vt 0.232721 0.045967 +vt 0.632859 0.223681 +vt 0.626185 0.225181 +vt 0.633752 0.236943 +vt 0.626044 0.238082 +vt 0.633380 0.249481 +vt 0.625039 0.249904 +vt 0.632234 0.261044 +vt 0.624072 0.260679 +vt 0.630903 0.271773 +vt 0.623200 0.270704 +vt 0.628911 0.282134 +vt 0.621600 0.280985 +vt 0.627648 0.291542 +vt 0.620621 0.290503 +vt 0.627234 0.300084 +vt 0.620157 0.299124 +vt 0.626463 0.307507 +vt 0.619688 0.306591 +vt 0.625869 0.314135 +vt 0.618952 0.313186 +vt 0.625257 0.320637 +vt 0.618131 0.319664 +vt 0.624910 0.327781 +vt 0.617016 0.327020 +vt 0.624194 0.338727 +vt 0.616288 0.338575 +vt 0.623689 0.355328 +vt 0.615845 0.356097 +vt 0.540107 0.417214 +vt 0.542879 0.399545 +vt 0.532150 0.396854 +vt 0.535995 0.379567 +vt 0.545581 0.381928 +vt 0.528337 0.414143 +vt 0.517121 0.411329 +vt 0.521715 0.394864 +vt 0.506431 0.407843 +vt 0.511419 0.392301 +vt 0.632172 0.423273 +vt 0.622590 0.426839 +vt 0.620300 0.418905 +vt 0.629667 0.415511 +vt 0.634993 0.429910 +vt 0.625099 0.433680 +vt 0.638051 0.436060 +vt 0.627943 0.439920 +vt 0.641577 0.441542 +vt 0.631676 0.445553 +vt 0.645996 0.445888 +vt 0.635982 0.450068 +vt 0.648842 0.449075 +vt 0.641035 0.453510 +vt 0.650755 0.451992 +vt 0.643619 0.455722 +vt 0.652343 0.455169 +vt 0.646001 0.458139 +vt 0.208270 0.056187 +vt 0.208146 0.054144 +vt 0.210382 0.057197 +vt 0.207846 0.057784 +vt 0.210323 0.058723 +vt 0.273000 0.058860 +vt 0.279174 0.059063 +vt 0.352324 0.076712 +vt 0.285033 0.059758 +vt 0.292570 0.059632 +vt 0.298753 0.058692 +vt 0.304844 0.056763 +vt 0.309536 0.057124 +vt 0.313882 0.056863 +vt 0.319256 0.057956 +vt 0.323540 0.059810 +vt 0.327489 0.061005 +vt 0.331479 0.064167 +vt 0.334104 0.066901 +vt 0.337698 0.068458 +vt 0.215851 0.069109 +vt 0.212715 0.071188 +vt 0.267231 0.057726 +vt 0.263539 0.056480 +vt 0.258059 0.054525 +vt 0.252196 0.052574 +vt 0.247274 0.051632 +vt 0.221874 0.064018 +vt 0.219110 0.066655 +vt 0.224272 0.061956 +vt 0.227525 0.058534 +vt 0.230597 0.056797 +vt 0.234608 0.054291 +vt 0.243234 0.052754 +vt 0.362268 0.061019 +vt 0.361397 0.060080 +vt 0.361688 0.059819 +vt 0.362891 0.060621 +vt 0.364140 0.056056 +vt 0.363488 0.056064 +vt 0.363323 0.055640 +vt 0.364277 0.055527 +vt 0.363231 0.059696 +vt 0.362223 0.059573 +vt 0.362372 0.059316 +vt 0.363278 0.059341 +vt 0.244511 0.011391 +vt 0.245957 0.011701 +vt 0.243144 0.011398 +vt 0.201340 0.053387 +vt 0.201557 0.052486 +vt 0.203072 0.051804 +vt 0.203858 0.053307 +vt 0.361911 0.061434 +vt 0.361057 0.060299 +vt 0.241976 0.011513 +vt 0.200509 0.058093 +vt 0.200802 0.057057 +vt 0.202880 0.057918 +vt 0.202049 0.058883 +vt 0.240798 0.011830 +vt 0.364675 0.058850 +vt 0.365289 0.058054 +vt 0.365848 0.058192 +vt 0.365069 0.059238 +vt 0.362513 0.059059 +vt 0.363404 0.059016 +vt 0.364097 0.059120 +vt 0.363983 0.058829 +vt 0.364460 0.058494 +vt 0.364029 0.056420 +vt 0.363574 0.056389 +vt 0.204071 0.051719 +vt 0.204173 0.053488 +vt 0.203203 0.058144 +vt 0.202517 0.059238 +vt 0.360547 0.057337 +vt 0.360494 0.055623 +vt 0.361547 0.055803 +vt 0.360914 0.057260 +vt 0.239269 0.012269 +vt 0.361517 0.056889 +vt 0.362356 0.056157 +vt 0.362542 0.056364 +vt 0.361737 0.056945 +vt 0.238049 0.012795 +vt 0.360038 0.057663 +vt 0.360055 0.055719 +vt 0.362747 0.056665 +vt 0.361928 0.056955 +vt 0.364865 0.056420 +vt 0.365246 0.055976 +vt 0.201228 0.054629 +vt 0.203978 0.055190 +vt 0.199968 0.059232 +vt 0.200826 0.059995 +vt 0.364200 0.059532 +vt 0.364773 0.058029 +vt 0.364481 0.056642 +vt 0.204320 0.055367 +vt 0.201403 0.060271 +vt 0.202746 0.059612 +vt 0.203509 0.058398 +vt 0.204925 0.058938 +vt 0.203451 0.060725 +vt 0.359266 0.055940 +vt 0.359369 0.057933 +vt 0.358514 0.058459 +vt 0.358153 0.056513 +vt 0.204650 0.053705 +vt 0.204718 0.051752 +vt 0.205927 0.051611 +vt 0.205967 0.053668 +vt 0.356241 0.056989 +vt 0.357027 0.056621 +vt 0.357614 0.058601 +vt 0.356346 0.059030 +vt 0.207603 0.053888 +vt 0.207141 0.053712 +vt 0.207040 0.051787 +vt 0.207447 0.051897 +vt 0.207545 0.056064 +vt 0.207165 0.055907 +vt 0.204705 0.061512 +vt 0.204408 0.061382 +vt 0.206153 0.059598 +vt 0.206655 0.059816 +vt 0.203709 0.062851 +vt 0.203018 0.062563 +vt 0.359760 0.062389 +vt 0.358841 0.062953 +vt 0.357946 0.062049 +vt 0.358944 0.061286 +vt 0.202459 0.061666 +vt 0.205763 0.055737 +vt 0.360385 0.061858 +vt 0.359656 0.060727 +vt 0.201688 0.060721 +vt 0.360300 0.060462 +vt 0.361176 0.061567 +vt 0.204665 0.055510 +vt 0.359029 0.059481 +vt 0.358268 0.059999 +vt 0.365269 0.057104 +vt 0.365970 0.056846 +vt 0.363706 0.057556 +vt 0.363056 0.057630 +vt 0.363904 0.061172 +vt 0.363316 0.062065 +vt 0.363042 0.062611 +vt 0.359875 0.054072 +vt 0.359217 0.054064 +vt 0.362571 0.062852 +vt 0.361576 0.063523 +vt 0.360643 0.063982 +vt 0.360272 0.064630 +vt 0.357797 0.063910 +vt 0.356482 0.062515 +vt 0.273174 0.019108 +vt 0.271759 0.018328 +vt 0.362521 0.054068 +vt 0.360870 0.054034 +vt 0.204253 0.056560 +vt 0.204575 0.056693 +vt 0.358002 0.054329 +vt 0.356839 0.054319 +vt 0.356407 0.054267 +vt 0.359447 0.065451 +vt 0.205396 0.061998 +vt 0.204711 0.063468 +vt 0.206939 0.060048 +vt 0.207433 0.057826 +vt 0.207936 0.052047 +vt 0.356900 0.060663 +vt 0.359771 0.059149 +vt 0.360325 0.058774 +vt 0.360608 0.058547 +vt 0.360914 0.058374 +vt 0.270180 0.017499 +vt 0.268596 0.016842 +vt 0.361768 0.058061 +vt 0.361998 0.058029 +vt 0.362197 0.057966 +vt 0.364164 0.057394 +vt 0.364696 0.057219 +vt 0.267144 0.016207 +vt 0.265630 0.015892 +vt 0.200987 0.055559 +vt 0.204012 0.056482 +vt 0.205411 0.057327 +vt 0.206918 0.057641 +vt 0.355443 0.056970 +vt 0.355871 0.054180 +vt 0.354891 0.059771 +vt 0.355558 0.061382 +vt 0.341987 0.071462 +vt 0.355481 0.077612 +vt 0.216701 0.061045 +vt 0.247019 0.117408 +vt 0.518300 0.198238 +vt 0.511052 0.209355 +vt 0.504657 0.219851 +vt 0.501981 0.388784 +vt 0.507454 0.373368 +vt 0.516745 0.376382 +vt 0.496678 0.403657 +vt 0.487348 0.398716 +vt 0.492987 0.384210 +vt 0.386000 0.381828 +vt 0.388647 0.380764 +vt 0.391882 0.378443 +vt 0.395937 0.374090 +vt 0.400460 0.369748 +vt 0.405116 0.365011 +vt 0.409849 0.359836 +vt 0.415128 0.353802 +vt 0.476096 0.392154 +vt 0.482581 0.377655 +vt 0.489567 0.363184 +vt 0.498762 0.368861 +vt 0.480798 0.355895 +vt 0.453223 0.307638 +vt 0.463474 0.295089 +vt 0.469775 0.286514 +vt 0.473197 0.280497 +vt 0.476410 0.275039 +vt 0.479541 0.269396 +vt 0.483289 0.263285 +vt 0.486832 0.256010 +vt 0.491013 0.248097 +vt 0.495389 0.239168 +vt 0.499501 0.229765 +vt 0.225960 0.018796 +vt 0.226825 0.018310 +vt 0.224571 0.018821 +vt 0.223434 0.018964 +vt 0.222538 0.019388 +vt 0.221604 0.019966 +vt 0.220538 0.020498 +vt 0.206458 0.036632 +vt 0.205793 0.037287 +vt 0.207327 0.035997 +vt 0.208211 0.035046 +vt 0.209220 0.034000 +vt 0.209864 0.033599 +vt 0.210576 0.033158 +vt 0.199368 0.052643 +vt 0.199893 0.051841 +vt 0.198751 0.053565 +vt 0.198445 0.054736 +vt 0.198348 0.056188 +vt 0.198376 0.057617 +vt 0.198348 0.058582 +vt 0.423305 0.343896 +vt 0.430559 0.350140 +vt 0.437829 0.357504 +vt 0.526780 0.377926 +vt 0.556718 0.384667 +vt 0.588653 0.382789 +vt 0.597774 0.379586 +vt 0.607017 0.376111 +vt 0.615832 0.373538 +vt 0.624098 0.372243 +vt 0.472021 0.347624 +vt 0.903094 0.011863 +vt 0.858949 0.904953 +vt 0.856913 0.904953 +vt 0.857242 0.902840 +vt 0.858996 0.902637 +vt 0.823005 0.911592 +vt 0.822472 0.911709 +vt 0.822292 0.910877 +vt 0.822889 0.910718 +vt 0.826507 0.910729 +vt 0.826985 0.911758 +vt 0.826671 0.911888 +vt 0.826188 0.910820 +vt 0.826142 0.912117 +vt 0.825719 0.910974 +vt 0.826795 0.910665 +vt 0.827272 0.911664 +vt 0.822665 0.912975 +vt 0.821958 0.913067 +vt 0.821841 0.911824 +vt 0.826193 0.910006 +vt 0.826528 0.909941 +vt 0.825809 0.910082 +vt 0.825366 0.910156 +vt 0.869122 0.900764 +vt 0.870305 0.900808 +vt 0.870633 0.902628 +vt 0.869587 0.902574 +vt 0.872540 0.903262 +vt 0.871610 0.902815 +vt 0.871478 0.900979 +vt 0.872831 0.901315 +vt 0.827915 0.910415 +vt 0.827468 0.910536 +vt 0.827186 0.909880 +vt 0.827601 0.909819 +vt 0.821095 0.911247 +vt 0.821677 0.911078 +vt 0.821114 0.911947 +vt 0.819836 0.911599 +vt 0.820472 0.911455 +vt 0.820467 0.912195 +vt 0.819922 0.912284 +vt 0.853642 0.902550 +vt 0.855258 0.902720 +vt 0.854830 0.904665 +vt 0.852969 0.904048 +vt 0.850313 0.900799 +vt 0.851835 0.901778 +vt 0.851028 0.903286 +vt 0.849288 0.902254 +vt 0.873724 0.903774 +vt 0.874078 0.901848 +vt 0.868388 0.902772 +vt 0.867033 0.903146 +vt 0.866387 0.901185 +vt 0.867820 0.900905 +vt 0.827073 0.910613 +vt 0.826849 0.909894 +vt 0.825599 0.912229 +vt 0.825172 0.911089 +vt 0.847618 0.898501 +vt 0.846464 0.899988 +vt 0.845343 0.898811 +vt 0.846580 0.897222 +vt 0.818691 0.911727 +vt 0.818798 0.912370 +vt 0.818307 0.912374 +vt 0.818179 0.911716 +vt 0.848887 0.899652 +vt 0.847805 0.901108 +vt 0.819240 0.911677 +vt 0.819333 0.912345 +vt 0.824923 0.910166 +vt 0.865671 0.903474 +vt 0.864919 0.901540 +vt 0.860841 0.902367 +vt 0.862997 0.902104 +vt 0.863497 0.904098 +vt 0.861313 0.904735 +vt 0.824477 0.911221 +vt 0.823775 0.911398 +vt 0.823587 0.910550 +vt 0.824228 0.910290 +vt 0.824828 0.912461 +vt 0.824071 0.912627 +vt 0.867326 0.899051 +vt 0.866720 0.897289 +vt 0.868081 0.897218 +vt 0.868611 0.899061 +vt 0.869956 0.899045 +vt 0.869454 0.897011 +vt 0.870861 0.897060 +vt 0.871378 0.899144 +vt 0.852555 0.893902 +vt 0.853367 0.895241 +vt 0.852526 0.895622 +vt 0.851433 0.894027 +vt 0.861848 0.886233 +vt 0.860807 0.886378 +vt 0.860419 0.885541 +vt 0.861581 0.885702 +vt 0.848178 0.895047 +vt 0.848997 0.892886 +vt 0.849686 0.896208 +vt 0.854054 0.896511 +vt 0.854771 0.897447 +vt 0.854414 0.897950 +vt 0.853519 0.897031 +vt 0.854179 0.894990 +vt 0.853589 0.893860 +vt 0.854805 0.893850 +vt 0.854947 0.894688 +vt 0.854627 0.896099 +vt 0.855173 0.896128 +vt 0.855116 0.897144 +vt 0.855417 0.896843 +vt 0.857047 0.898449 +vt 0.856240 0.898362 +vt 0.856348 0.897941 +vt 0.857022 0.897952 +vt 0.858182 0.898050 +vt 0.857802 0.897465 +vt 0.859260 0.897391 +vt 0.858753 0.896853 +vt 0.860299 0.896585 +vt 0.859401 0.896087 +vt 0.858885 0.900461 +vt 0.858487 0.898727 +vt 0.859761 0.898072 +vt 0.860308 0.900070 +vt 0.857422 0.900738 +vt 0.857323 0.898989 +vt 0.855826 0.900650 +vt 0.856187 0.898857 +vt 0.863016 0.885804 +vt 0.864171 0.885314 +vt 0.863998 0.886237 +vt 0.863147 0.886457 +vt 0.872135 0.896855 +vt 0.874089 0.896968 +vt 0.874397 0.899188 +vt 0.872925 0.899253 +vt 0.865329 0.897259 +vt 0.865711 0.899257 +vt 0.861282 0.897172 +vt 0.862376 0.899636 +vt 0.851851 0.898579 +vt 0.853048 0.899592 +vt 0.862627 0.888545 +vt 0.862570 0.889105 +vt 0.862363 0.889113 +vt 0.862489 0.888613 +vt 0.850707 0.897452 +vt 0.857213 0.895494 +vt 0.857459 0.894799 +vt 0.858412 0.895410 +vt 0.858048 0.896064 +vt 0.856716 0.896680 +vt 0.857330 0.897085 +vt 0.856465 0.897457 +vt 0.856916 0.897533 +vt 0.862668 0.884968 +vt 0.864589 0.884130 +vt 0.855775 0.894032 +vt 0.855665 0.894846 +vt 0.855756 0.896334 +vt 0.855749 0.897211 +vt 0.863231 0.886923 +vt 0.863892 0.886948 +vt 0.863789 0.887548 +vt 0.863220 0.887361 +vt 0.855258 0.898510 +vt 0.854418 0.900334 +vt 0.855484 0.898012 +vt 0.855605 0.897584 +vt 0.861646 0.888123 +vt 0.862195 0.887705 +vt 0.862345 0.888293 +vt 0.862023 0.888753 +vt 0.861289 0.887239 +vt 0.862059 0.886941 +vt 0.863645 0.888048 +vt 0.863139 0.887717 +vt 0.862780 0.889087 +vt 0.862763 0.888479 +vt 0.862995 0.888392 +vt 0.863155 0.888843 +vt 0.863443 0.888466 +vt 0.863060 0.888094 +vt 0.861799 0.885510 +vt 0.860486 0.885118 +vt 0.860581 0.884650 +vt 0.862065 0.885316 +vt 0.861274 0.883731 +vt 0.862750 0.889974 +vt 0.863215 0.889675 +vt 0.864332 0.888985 +vt 0.864858 0.888372 +vt 0.858945 0.887153 +vt 0.859703 0.888228 +vt 0.860560 0.889181 +vt 0.865412 0.887720 +vt 0.865996 0.886953 +vt 0.861455 0.889828 +vt 0.866874 0.885905 +vt 0.867962 0.884930 +vt 0.862452 0.890028 +vt 0.862143 0.890060 +vt 0.858243 0.886135 +vt 0.863769 0.889410 +vt 0.858144 0.883623 +vt 0.857938 0.884991 +vt 0.858090 0.885593 +vt 0.863332 0.891152 +vt 0.864025 0.890859 +vt 0.857485 0.888326 +vt 0.856537 0.887387 +vt 0.869195 0.887932 +vt 0.867743 0.888820 +vt 0.862189 0.891463 +vt 0.861692 0.891461 +vt 0.870394 0.887223 +vt 0.866714 0.889476 +vt 0.865726 0.890022 +vt 0.859691 0.890412 +vt 0.860772 0.891160 +vt 0.858526 0.889379 +vt 0.864820 0.890481 +vt 0.862662 0.891425 +vt 0.856146 0.886857 +vt 0.855750 0.886276 +vt 0.855233 0.884609 +vt 0.865451 0.892266 +vt 0.866482 0.891933 +vt 0.856214 0.889974 +vt 0.857417 0.890842 +vt 0.870366 0.890536 +vt 0.869024 0.891040 +vt 0.867790 0.891477 +vt 0.858825 0.891862 +vt 0.859955 0.892635 +vt 0.863499 0.892975 +vt 0.864486 0.892591 +vt 0.872260 0.890329 +vt 0.861638 0.893319 +vt 0.860909 0.893117 +vt 0.854376 0.889030 +vt 0.853588 0.888607 +vt 0.855107 0.889420 +vt 0.862313 0.893470 +vt 0.852813 0.887113 +vt 0.864189 0.899425 +vt 0.863672 0.897314 +vt 0.853059 0.891457 +vt 0.851850 0.891307 +vt 0.850536 0.889925 +vt 0.863404 0.895194 +vt 0.864909 0.895051 +vt 0.855334 0.891867 +vt 0.854139 0.891626 +vt 0.871492 0.894003 +vt 0.870062 0.894201 +vt 0.860909 0.894938 +vt 0.860096 0.894568 +vt 0.873214 0.893868 +vt 0.868727 0.894427 +vt 0.867398 0.894732 +vt 0.858101 0.893356 +vt 0.859151 0.894031 +vt 0.856545 0.892485 +vt 0.866138 0.894938 +vt 0.861786 0.895298 +vt 0.862494 0.886090 +vt 0.862756 0.888055 +vt 0.862948 0.887024 +vt 0.862705 0.886803 +vt 0.862773 0.887516 +vt 0.862958 0.887270 +vt 0.862161 0.886142 +vt 0.862552 0.888167 +vt 0.862484 0.887602 +vt 0.862375 0.886859 +vt 0.840570 0.974205 +vt 0.838221 0.974419 +vt 0.838701 0.972832 +vt 0.840769 0.972691 +vt 0.836743 0.974487 +vt 0.837109 0.972831 +vt 0.835277 0.974413 +vt 0.835531 0.972728 +vt 0.833599 0.973692 +vt 0.833792 0.972079 +vt 0.822102 0.963248 +vt 0.822505 0.962611 +vt 0.823427 0.963235 +vt 0.822995 0.963945 +vt 0.821290 0.962592 +vt 0.821665 0.962009 +vt 0.823842 0.966974 +vt 0.822868 0.967409 +vt 0.822044 0.966806 +vt 0.822776 0.966185 +vt 0.821292 0.966133 +vt 0.821896 0.965418 +vt 0.843118 0.973842 +vt 0.843117 0.972553 +vt 0.844713 0.972532 +vt 0.844714 0.973909 +vt 0.841053 0.971472 +vt 0.839229 0.971488 +vt 0.839624 0.970193 +vt 0.841309 0.970259 +vt 0.837618 0.971434 +vt 0.838001 0.970095 +vt 0.835865 0.971211 +vt 0.836301 0.969831 +vt 0.834130 0.970845 +vt 0.834506 0.969467 +vt 0.843114 0.971485 +vt 0.843087 0.970372 +vt 0.836817 0.979942 +vt 0.837770 0.980142 +vt 0.837581 0.980953 +vt 0.836623 0.980814 +vt 0.837352 0.981841 +vt 0.836419 0.981886 +vt 0.837120 0.983116 +vt 0.836283 0.983054 +vt 0.821086 0.964644 +vt 0.821627 0.963928 +vt 0.822470 0.964678 +vt 0.827006 0.961275 +vt 0.827238 0.960360 +vt 0.828654 0.960724 +vt 0.828427 0.961696 +vt 0.820345 0.963881 +vt 0.820847 0.963217 +vt 0.836911 0.978834 +vt 0.838064 0.979090 +vt 0.835679 0.979781 +vt 0.835570 0.980741 +vt 0.835441 0.981738 +vt 0.835406 0.982679 +vt 0.834256 0.979739 +vt 0.834282 0.980697 +vt 0.824632 0.966254 +vt 0.826355 0.966944 +vt 0.825671 0.967714 +vt 0.834263 0.981516 +vt 0.834357 0.982255 +vt 0.832844 0.979817 +vt 0.832967 0.980713 +vt 0.833212 0.981587 +vt 0.833413 0.982450 +vt 0.822248 0.960968 +vt 0.822496 0.960457 +vt 0.823396 0.960864 +vt 0.823132 0.961437 +vt 0.831470 0.980064 +vt 0.831745 0.980957 +vt 0.832042 0.981829 +vt 0.832285 0.982669 +vt 0.831968 0.971424 +vt 0.832228 0.970269 +vt 0.829278 0.980624 +vt 0.830182 0.980359 +vt 0.830503 0.981308 +vt 0.829622 0.981549 +vt 0.824678 0.969172 +vt 0.827099 0.970396 +vt 0.826352 0.971109 +vt 0.824466 0.970019 +vt 0.830958 0.982085 +vt 0.830002 0.982357 +vt 0.831404 0.982902 +vt 0.830451 0.983135 +vt 0.828173 0.980926 +vt 0.828543 0.981874 +vt 0.825427 0.972145 +vt 0.823946 0.971068 +vt 0.828891 0.982666 +vt 0.829288 0.983405 +vt 0.837286 0.966404 +vt 0.837016 0.967349 +vt 0.835397 0.967054 +vt 0.835645 0.966060 +vt 0.831693 0.972830 +vt 0.844713 0.971464 +vt 0.832598 0.968985 +vt 0.835690 0.978690 +vt 0.834269 0.978686 +vt 0.832827 0.978767 +vt 0.831290 0.978905 +vt 0.828892 0.979167 +vt 0.829883 0.978955 +vt 0.827711 0.979412 +vt 0.821637 0.967864 +vt 0.821049 0.967514 +vt 0.843308 0.967181 +vt 0.843220 0.968140 +vt 0.841772 0.968103 +vt 0.841940 0.967199 +vt 0.840162 0.967920 +vt 0.840327 0.967091 +vt 0.838491 0.967669 +vt 0.838756 0.966725 +vt 0.823177 0.972132 +vt 0.824238 0.973364 +vt 0.822881 0.974372 +vt 0.821991 0.973031 +vt 0.826322 0.982471 +vt 0.827338 0.982190 +vt 0.827705 0.982953 +vt 0.826713 0.983258 +vt 0.828015 0.983700 +vt 0.826986 0.983965 +vt 0.825310 0.980151 +vt 0.826454 0.979832 +vt 0.826929 0.981203 +vt 0.825909 0.981611 +vt 0.824890 0.963129 +vt 0.824484 0.963895 +vt 0.823802 0.962562 +vt 0.825842 0.983506 +vt 0.826118 0.984144 +vt 0.824367 0.980556 +vt 0.825026 0.981966 +vt 0.825454 0.982786 +vt 0.821877 0.975004 +vt 0.821180 0.973666 +vt 0.821976 0.961476 +vt 0.822840 0.962013 +vt 0.824116 0.961912 +vt 0.825501 0.961675 +vt 0.825224 0.962395 +vt 0.824394 0.961269 +vt 0.826134 0.963690 +vt 0.826472 0.962881 +vt 0.827957 0.963337 +vt 0.827668 0.964185 +vt 0.838776 0.979396 +vt 0.838385 0.980403 +vt 0.838108 0.981208 +vt 0.837852 0.982033 +vt 0.843661 0.962404 +vt 0.843710 0.960486 +vt 0.844709 0.960518 +vt 0.844710 0.962457 +vt 0.844714 0.975024 +vt 0.843121 0.975016 +vt 0.825007 0.983665 +vt 0.825282 0.984336 +vt 0.823597 0.980919 +vt 0.824277 0.982220 +vt 0.833414 0.966621 +vt 0.833646 0.965602 +vt 0.825759 0.960918 +vt 0.826770 0.962095 +vt 0.824667 0.983002 +vt 0.820408 0.974265 +vt 0.821018 0.975528 +vt 0.823419 0.965464 +vt 0.823991 0.964684 +vt 0.825228 0.965415 +vt 0.826491 0.933757 +vt 0.825340 0.933874 +vt 0.825205 0.931763 +vt 0.826254 0.931741 +vt 0.825741 0.964527 +vt 0.827303 0.965052 +vt 0.826890 0.965970 +vt 0.812859 0.987387 +vt 0.813723 0.987091 +vt 0.813917 0.987643 +vt 0.812997 0.987939 +vt 0.815875 0.986396 +vt 0.816121 0.987029 +vt 0.817177 0.986122 +vt 0.817454 0.986796 +vt 0.818941 0.986612 +vt 0.818586 0.985860 +vt 0.821669 0.982934 +vt 0.822607 0.982779 +vt 0.822755 0.983654 +vt 0.821824 0.983776 +vt 0.818123 0.975975 +vt 0.818629 0.975357 +vt 0.819386 0.976493 +vt 0.818769 0.977001 +vt 0.822864 0.984333 +vt 0.822014 0.984481 +vt 0.823000 0.984915 +vt 0.822189 0.985077 +vt 0.821605 0.981813 +vt 0.822367 0.981491 +vt 0.819966 0.985595 +vt 0.820334 0.986342 +vt 0.819589 0.973281 +vt 0.820282 0.972799 +vt 0.821219 0.985324 +vt 0.821555 0.986049 +vt 0.823575 0.914465 +vt 0.824008 0.916391 +vt 0.823171 0.916588 +vt 0.822947 0.914599 +vt 0.817565 0.976861 +vt 0.818197 0.977742 +vt 0.820827 0.984140 +vt 0.821033 0.984762 +vt 0.820592 0.982358 +vt 0.820700 0.983402 +vt 0.822483 0.985817 +vt 0.826525 0.984898 +vt 0.826901 0.985699 +vt 0.826084 0.985812 +vt 0.825664 0.985024 +vt 0.823288 0.985616 +vt 0.824325 0.917955 +vt 0.823354 0.918011 +vt 0.824574 0.919243 +vt 0.823580 0.919293 +vt 0.819768 0.985043 +vt 0.819292 0.982904 +vt 0.819438 0.983823 +vt 0.821079 0.972143 +vt 0.819433 0.974729 +vt 0.820138 0.975883 +vt 0.824788 0.920430 +vt 0.823744 0.920540 +vt 0.819591 0.984450 +vt 0.816703 0.977889 +vt 0.817278 0.978709 +vt 0.817815 0.983377 +vt 0.817994 0.984200 +vt 0.827449 0.984682 +vt 0.827883 0.985497 +vt 0.825087 0.922497 +vt 0.825172 0.923411 +vt 0.824128 0.923406 +vt 0.824072 0.922591 +vt 0.818173 0.984805 +vt 0.815723 0.978957 +vt 0.816210 0.979652 +vt 0.818352 0.985329 +vt 0.821925 0.971391 +vt 0.825333 0.924383 +vt 0.824297 0.924332 +vt 0.816540 0.984630 +vt 0.816770 0.985155 +vt 0.814613 0.980015 +vt 0.815076 0.980584 +vt 0.816942 0.985648 +vt 0.816336 0.983894 +vt 0.815250 0.985025 +vt 0.815501 0.985475 +vt 0.813500 0.980883 +vt 0.813978 0.981393 +vt 0.815638 0.985927 +vt 0.815091 0.984404 +vt 0.828527 0.984466 +vt 0.828972 0.985317 +vt 0.822958 0.969456 +vt 0.822724 0.970367 +vt 0.813291 0.985711 +vt 0.813436 0.986082 +vt 0.811886 0.981981 +vt 0.812326 0.982532 +vt 0.813554 0.986582 +vt 0.813154 0.985192 +vt 0.829836 0.984228 +vt 0.830182 0.985134 +vt 0.830851 0.984016 +vt 0.822712 0.968750 +vt 0.810595 0.982901 +vt 0.810997 0.983379 +vt 0.812549 0.986337 +vt 0.812759 0.986911 +vt 0.812305 0.985509 +vt 0.812439 0.985978 +vt 0.831750 0.983858 +vt 0.812812 0.983809 +vt 0.812964 0.984608 +vt 0.812127 0.985023 +vt 0.811731 0.984393 +vt 0.812605 0.983078 +vt 0.811340 0.983881 +vt 0.814667 0.982759 +vt 0.814917 0.983739 +vt 0.815822 0.982057 +vt 0.816167 0.983142 +vt 0.814338 0.981992 +vt 0.815434 0.981212 +vt 0.816634 0.980330 +vt 0.817113 0.981270 +vt 0.817644 0.982509 +vt 0.817781 0.979436 +vt 0.818424 0.980426 +vt 0.818802 0.978515 +vt 0.819654 0.979684 +vt 0.819436 0.977834 +vt 0.820397 0.979308 +vt 0.819897 0.977592 +vt 0.820857 0.979087 +vt 0.818680 0.973990 +vt 0.817826 0.974830 +vt 0.819139 0.981903 +vt 0.824386 0.985348 +vt 0.824989 0.986122 +vt 0.823827 0.986447 +vt 0.820432 0.981262 +vt 0.821172 0.980792 +vt 0.821620 0.980506 +vt 0.824036 0.984650 +vt 0.823875 0.984068 +vt 0.822421 0.976251 +vt 0.823114 0.977850 +vt 0.822006 0.978299 +vt 0.821411 0.976692 +vt 0.819890 0.966216 +vt 0.820518 0.965387 +vt 0.820495 0.966950 +vt 0.819222 0.965424 +vt 0.819809 0.964594 +vt 0.825431 0.925547 +vt 0.825568 0.926749 +vt 0.824600 0.926748 +vt 0.824446 0.925553 +vt 0.826815 0.935607 +vt 0.825517 0.935831 +vt 0.827304 0.938386 +vt 0.827359 0.939472 +vt 0.825673 0.939718 +vt 0.825764 0.938594 +vt 0.824455 0.942716 +vt 0.824148 0.941216 +vt 0.825537 0.940916 +vt 0.825594 0.942370 +vt 0.826864 0.951696 +vt 0.826683 0.950216 +vt 0.827742 0.950063 +vt 0.827950 0.951589 +vt 0.826014 0.960073 +vt 0.826260 0.959090 +vt 0.827451 0.959297 +vt 0.826489 0.957908 +vt 0.826703 0.956475 +vt 0.827792 0.956551 +vt 0.827626 0.958046 +vt 0.824623 0.968327 +vt 0.823529 0.975743 +vt 0.824284 0.977515 +vt 0.824961 0.974854 +vt 0.825712 0.976858 +vt 0.828046 0.972714 +vt 0.828935 0.975454 +vt 0.827289 0.976127 +vt 0.826528 0.973685 +vt 0.829616 0.972179 +vt 0.830453 0.975088 +vt 0.823839 0.979358 +vt 0.822875 0.979825 +vt 0.831528 0.975271 +vt 0.824918 0.978967 +vt 0.833283 0.975671 +vt 0.826122 0.978531 +vt 0.828845 0.977824 +vt 0.827523 0.978153 +vt 0.834882 0.976048 +vt 0.829980 0.977564 +vt 0.836371 0.976044 +vt 0.831313 0.977448 +vt 0.832972 0.977433 +vt 0.834464 0.977536 +vt 0.823959 0.959531 +vt 0.824270 0.958678 +vt 0.825224 0.958890 +vt 0.824941 0.959805 +vt 0.828898 0.959552 +vt 0.823057 0.959241 +vt 0.823382 0.958447 +vt 0.824591 0.957629 +vt 0.825505 0.957777 +vt 0.829018 0.958241 +vt 0.823723 0.957458 +vt 0.824884 0.956331 +vt 0.825762 0.956410 +vt 0.829108 0.956711 +vt 0.824041 0.956229 +vt 0.834863 0.957693 +vt 0.836880 0.957785 +vt 0.836888 0.959581 +vt 0.834840 0.959232 +vt 0.838376 0.961711 +vt 0.838463 0.959859 +vt 0.840014 0.960089 +vt 0.839933 0.961985 +vt 0.838506 0.957942 +vt 0.840082 0.958071 +vt 0.836667 0.961286 +vt 0.834611 0.960853 +vt 0.841434 0.960269 +vt 0.841518 0.958187 +vt 0.842727 0.958254 +vt 0.842671 0.960415 +vt 0.843740 0.958263 +vt 0.844708 0.958260 +vt 0.836557 0.962591 +vt 0.836426 0.963594 +vt 0.834280 0.963103 +vt 0.834434 0.962131 +vt 0.841314 0.962076 +vt 0.842586 0.962282 +vt 0.837676 0.976007 +vt 0.824264 0.954816 +vt 0.824333 0.953404 +vt 0.825151 0.953358 +vt 0.825088 0.954844 +vt 0.826003 0.953300 +vt 0.825943 0.954855 +vt 0.826865 0.954852 +vt 0.826930 0.953234 +vt 0.827992 0.953165 +vt 0.827911 0.954831 +vt 0.829216 0.953080 +vt 0.829077 0.954763 +vt 0.834885 0.955346 +vt 0.834924 0.953245 +vt 0.836809 0.953484 +vt 0.836849 0.955619 +vt 0.838432 0.953547 +vt 0.838499 0.955740 +vt 0.840046 0.953588 +vt 0.840100 0.955820 +vt 0.841531 0.953649 +vt 0.841552 0.955906 +vt 0.842762 0.953686 +vt 0.842753 0.955944 +vt 0.836727 0.951656 +vt 0.836618 0.949859 +vt 0.838233 0.949742 +vt 0.838335 0.951599 +vt 0.841449 0.951552 +vt 0.841343 0.949561 +vt 0.842652 0.949472 +vt 0.842729 0.951548 +vt 0.839816 0.949640 +vt 0.839937 0.951559 +vt 0.834993 0.951659 +vt 0.834971 0.950012 +vt 0.824252 0.952068 +vt 0.824142 0.950833 +vt 0.824936 0.950648 +vt 0.825067 0.951947 +vt 0.825774 0.950425 +vt 0.825924 0.951818 +vt 0.829200 0.949935 +vt 0.829280 0.951497 +vt 0.821721 0.943389 +vt 0.820568 0.941808 +vt 0.821304 0.941383 +vt 0.822444 0.943195 +vt 0.822873 0.941559 +vt 0.823411 0.943032 +vt 0.827232 0.940542 +vt 0.827359 0.941866 +vt 0.820787 0.945153 +vt 0.820480 0.945160 +vt 0.819253 0.943157 +vt 0.819898 0.943360 +vt 0.822332 0.944879 +vt 0.821597 0.945059 +vt 0.820914 0.943549 +vt 0.823058 0.944717 +vt 0.843605 0.941494 +vt 0.844679 0.941270 +vt 0.844687 0.943979 +vt 0.843595 0.944174 +vt 0.843759 0.938989 +vt 0.844671 0.938768 +vt 0.823892 0.944483 +vt 0.824850 0.944215 +vt 0.822183 0.950015 +vt 0.821692 0.950073 +vt 0.821395 0.948694 +vt 0.821772 0.948540 +vt 0.823696 0.949392 +vt 0.822924 0.949661 +vt 0.822526 0.948296 +vt 0.823296 0.948008 +vt 0.824063 0.947716 +vt 0.824495 0.949138 +vt 0.824879 0.947439 +vt 0.825342 0.948904 +vt 0.826274 0.948703 +vt 0.825826 0.947226 +vt 0.826838 0.947028 +vt 0.827305 0.948553 +vt 0.828373 0.946907 +vt 0.828766 0.948470 +vt 0.842550 0.941938 +vt 0.842502 0.944579 +vt 0.841294 0.945074 +vt 0.841286 0.942418 +vt 0.839688 0.945388 +vt 0.839588 0.942927 +vt 0.838035 0.945683 +vt 0.837972 0.943423 +vt 0.836453 0.945955 +vt 0.836321 0.943759 +vt 0.834225 0.944094 +vt 0.834424 0.946385 +vt 0.842891 0.939252 +vt 0.841468 0.939788 +vt 0.839598 0.940688 +vt 0.837752 0.941267 +vt 0.835970 0.941654 +vt 0.833916 0.942049 +vt 0.825975 0.943893 +vt 0.827644 0.943430 +vt 0.822551 0.951254 +vt 0.821944 0.951385 +vt 0.823319 0.951013 +vt 0.832611 0.983717 +vt 0.833533 0.983530 +vt 0.834391 0.983568 +vt 0.843749 0.953689 +vt 0.843750 0.955935 +vt 0.826439 0.945450 +vt 0.828001 0.945150 +vt 0.838565 0.937418 +vt 0.839215 0.938943 +vt 0.837383 0.939672 +vt 0.836857 0.938144 +vt 0.840337 0.936324 +vt 0.841493 0.937667 +vt 0.833734 0.940507 +vt 0.833460 0.939126 +vt 0.835280 0.938688 +vt 0.835669 0.940167 +vt 0.842496 0.933720 +vt 0.843042 0.934114 +vt 0.842495 0.935795 +vt 0.841613 0.934971 +vt 0.842890 0.932823 +vt 0.843320 0.933221 +vt 0.819676 0.940817 +vt 0.820114 0.940141 +vt 0.823080 0.939684 +vt 0.823238 0.938434 +vt 0.824525 0.938583 +vt 0.824322 0.939806 +vt 0.837174 0.934582 +vt 0.837909 0.935942 +vt 0.836355 0.936892 +vt 0.835748 0.935558 +vt 0.821768 0.939387 +vt 0.821987 0.937972 +vt 0.840242 0.931533 +vt 0.841259 0.932644 +vt 0.840400 0.933712 +vt 0.839442 0.932567 +vt 0.834840 0.937545 +vt 0.834357 0.936373 +vt 0.841036 0.930719 +vt 0.841901 0.931733 +vt 0.838363 0.933610 +vt 0.839294 0.934934 +vt 0.833107 0.938102 +vt 0.832817 0.937057 +vt 0.820477 0.938847 +vt 0.820850 0.937575 +vt 0.838652 0.929501 +vt 0.837841 0.930351 +vt 0.836881 0.929067 +vt 0.837682 0.928244 +vt 0.839437 0.928811 +vt 0.838429 0.927598 +vt 0.818075 0.934125 +vt 0.818204 0.932553 +vt 0.819191 0.932596 +vt 0.819099 0.934229 +vt 0.824279 0.935789 +vt 0.824232 0.933816 +vt 0.820586 0.977077 +vt 0.831609 0.924192 +vt 0.832031 0.925228 +vt 0.831247 0.925610 +vt 0.830908 0.924491 +vt 0.821813 0.926621 +vt 0.821655 0.925598 +vt 0.822526 0.925544 +vt 0.822716 0.926717 +vt 0.833766 0.922655 +vt 0.834289 0.923469 +vt 0.833583 0.924090 +vt 0.833081 0.923229 +vt 0.830419 0.925922 +vt 0.830148 0.924731 +vt 0.834529 0.922159 +vt 0.834929 0.922998 +vt 0.832360 0.923828 +vt 0.832799 0.924750 +vt 0.829446 0.926183 +vt 0.829126 0.925014 +vt 0.820852 0.926544 +vt 0.820761 0.925637 +vt 0.823485 0.925579 +vt 0.823644 0.926743 +vt 0.831185 0.923138 +vt 0.831838 0.922665 +vt 0.832506 0.922051 +vt 0.833147 0.921507 +vt 0.833735 0.920964 +vt 0.819210 0.925721 +vt 0.818412 0.925752 +vt 0.818393 0.924285 +vt 0.819205 0.924223 +vt 0.819959 0.924187 +vt 0.819960 0.925674 +vt 0.820705 0.924195 +vt 0.833299 0.920158 +vt 0.832663 0.920594 +vt 0.830826 0.922131 +vt 0.831340 0.921787 +vt 0.828748 0.923958 +vt 0.828470 0.922986 +vt 0.829606 0.922701 +vt 0.829862 0.923664 +vt 0.820640 0.923242 +vt 0.821444 0.923315 +vt 0.821526 0.924253 +vt 0.822385 0.924319 +vt 0.822299 0.923351 +vt 0.823139 0.923390 +vt 0.823291 0.924342 +vt 0.830547 0.923436 +vt 0.830256 0.922451 +vt 0.832014 0.921107 +vt 0.823007 0.922479 +vt 0.830499 0.921047 +vt 0.829989 0.921424 +vt 0.827386 0.969553 +vt 0.829833 0.970715 +vt 0.821376 0.922345 +vt 0.822164 0.922440 +vt 0.832165 0.919694 +vt 0.831559 0.920142 +vt 0.827899 0.968708 +vt 0.830162 0.969575 +vt 0.829362 0.921746 +vt 0.832809 0.919295 +vt 0.830972 0.920673 +vt 0.828275 0.922050 +vt 0.820562 0.922257 +vt 0.828384 0.967772 +vt 0.830530 0.968565 +vt 0.828817 0.966733 +vt 0.830922 0.967361 +vt 0.829163 0.965675 +vt 0.831271 0.966151 +vt 0.831516 0.965084 +vt 0.829482 0.964679 +vt 0.829778 0.963755 +vt 0.831750 0.964163 +vt 0.828918 0.917884 +vt 0.829308 0.919183 +vt 0.828674 0.919573 +vt 0.828286 0.918239 +vt 0.831150 0.916298 +vt 0.831790 0.917348 +vt 0.831150 0.917688 +vt 0.830607 0.916603 +vt 0.829823 0.918766 +vt 0.829417 0.917512 +vt 0.829757 0.917234 +vt 0.830208 0.918429 +vt 0.827777 0.919911 +vt 0.827461 0.918605 +vt 0.820434 0.920262 +vt 0.820309 0.919167 +vt 0.821079 0.919212 +vt 0.821168 0.920301 +vt 0.821871 0.920374 +vt 0.821804 0.919253 +vt 0.822652 0.919281 +vt 0.822761 0.920409 +vt 0.830045 0.962896 +vt 0.831971 0.963313 +vt 0.830641 0.918047 +vt 0.830136 0.916926 +vt 0.820233 0.917976 +vt 0.820999 0.918057 +vt 0.821667 0.918087 +vt 0.822425 0.918084 +vt 0.828956 0.916188 +vt 0.828542 0.916452 +vt 0.832173 0.962458 +vt 0.830269 0.962022 +vt 0.830012 0.915431 +vt 0.829620 0.915709 +vt 0.830514 0.961027 +vt 0.832370 0.961493 +vt 0.827948 0.916770 +vt 0.830503 0.915154 +vt 0.829259 0.915967 +vt 0.827080 0.917199 +vt 0.829305 0.914205 +vt 0.828974 0.914423 +vt 0.830642 0.959872 +vt 0.832576 0.960298 +vt 0.828041 0.914968 +vt 0.827457 0.915236 +vt 0.829795 0.913960 +vt 0.828399 0.914791 +vt 0.828679 0.914623 +vt 0.826660 0.915596 +vt 0.820216 0.916605 +vt 0.820837 0.916760 +vt 0.821478 0.916811 +vt 0.822226 0.916740 +vt 0.830629 0.958560 +vt 0.832800 0.958789 +vt 0.826187 0.913814 +vt 0.826834 0.913683 +vt 0.820125 0.915018 +vt 0.820739 0.915088 +vt 0.821372 0.915047 +vt 0.822118 0.914779 +vt 0.827661 0.913265 +vt 0.827358 0.913384 +vt 0.830688 0.957238 +vt 0.832925 0.957624 +vt 0.828566 0.912856 +vt 0.828253 0.913015 +vt 0.829062 0.912619 +vt 0.827944 0.913147 +vt 0.833066 0.955080 +vt 0.830789 0.955009 +vt 0.830910 0.953162 +vt 0.833069 0.953092 +vt 0.830913 0.951625 +vt 0.832981 0.951613 +vt 0.830768 0.950025 +vt 0.832791 0.950086 +vt 0.820566 0.913216 +vt 0.821250 0.913106 +vt 0.820026 0.913285 +vt 0.818936 0.914876 +vt 0.818862 0.913387 +vt 0.819395 0.913347 +vt 0.819503 0.914949 +vt 0.827568 0.911573 +vt 0.827913 0.911441 +vt 0.830395 0.948377 +vt 0.832369 0.948364 +vt 0.830015 0.946724 +vt 0.832059 0.946657 +vt 0.829704 0.944855 +vt 0.831805 0.944493 +vt 0.829655 0.942959 +vt 0.831692 0.942535 +vt 0.818901 0.916387 +vt 0.819541 0.916484 +vt 0.819543 0.917861 +vt 0.818839 0.917752 +vt 0.818829 0.919027 +vt 0.819612 0.919114 +vt 0.818905 0.920206 +vt 0.819731 0.920249 +vt 0.866386 0.922230 +vt 0.865310 0.922348 +vt 0.865634 0.920272 +vt 0.866629 0.920137 +vt 0.819848 0.922255 +vt 0.819931 0.923251 +vt 0.819154 0.923295 +vt 0.819065 0.922292 +vt 0.820008 0.926540 +vt 0.819238 0.926587 +vt 0.829499 0.941253 +vt 0.831545 0.940830 +vt 0.829458 0.940042 +vt 0.831406 0.939570 +vt 0.834556 0.948264 +vt 0.836575 0.948101 +vt 0.823468 0.952174 +vt 0.818435 0.938014 +vt 0.818748 0.936859 +vt 0.819746 0.937168 +vt 0.819384 0.938389 +vt 0.818878 0.939679 +vt 0.818545 0.940136 +vt 0.817436 0.939874 +vt 0.817756 0.939333 +vt 0.838410 0.986154 +vt 0.837938 0.986683 +vt 0.837034 0.985152 +vt 0.837793 0.984841 +vt 0.818303 0.916324 +vt 0.818399 0.914821 +vt 0.818236 0.917691 +vt 0.818129 0.918987 +vt 0.818157 0.920220 +vt 0.864284 0.922257 +vt 0.864578 0.920165 +vt 0.863587 0.920076 +vt 0.863227 0.922152 +vt 0.826449 0.924306 +vt 0.826597 0.925428 +vt 0.818629 0.964397 +vt 0.819152 0.963791 +vt 0.819653 0.963171 +vt 0.820125 0.962560 +vt 0.816511 0.939671 +vt 0.816762 0.939161 +vt 0.817306 0.937823 +vt 0.817685 0.936567 +vt 0.834505 0.933093 +vt 0.833364 0.933764 +vt 0.832667 0.932307 +vt 0.833732 0.931636 +vt 0.835700 0.932173 +vt 0.834854 0.930782 +vt 0.818353 0.926678 +vt 0.831246 0.938611 +vt 0.829350 0.939122 +vt 0.829164 0.938038 +vt 0.831041 0.937547 +vt 0.818421 0.923352 +vt 0.818337 0.922360 +vt 0.862540 0.919953 +vt 0.862130 0.922029 +vt 0.861058 0.921818 +vt 0.861553 0.919652 +vt 0.829817 0.927679 +vt 0.830866 0.927326 +vt 0.833007 0.930029 +vt 0.834041 0.929274 +vt 0.832051 0.930565 +vt 0.830854 0.930983 +vt 0.831509 0.932779 +vt 0.824180 0.931696 +vt 0.823163 0.931522 +vt 0.823200 0.933597 +vt 0.822192 0.931318 +vt 0.822222 0.933305 +vt 0.821200 0.931123 +vt 0.821109 0.933008 +vt 0.820135 0.930919 +vt 0.820121 0.932739 +vt 0.819234 0.930832 +vt 0.818295 0.930811 +vt 0.836608 0.926945 +vt 0.837322 0.926268 +vt 0.835848 0.927747 +vt 0.834954 0.928643 +vt 0.835875 0.929998 +vt 0.836806 0.931266 +vt 0.858499 0.930849 +vt 0.857290 0.930434 +vt 0.858468 0.927161 +vt 0.859528 0.927511 +vt 0.820056 0.934415 +vt 0.821045 0.934703 +vt 0.822097 0.935118 +vt 0.823143 0.935519 +vt 0.860056 0.931150 +vt 0.860917 0.927739 +vt 0.835870 0.977487 +vt 0.837184 0.977525 +vt 0.824410 0.914230 +vt 0.825255 0.914029 +vt 0.825807 0.915907 +vt 0.824884 0.916166 +vt 0.832020 0.934391 +vt 0.862382 0.927934 +vt 0.861621 0.931419 +vt 0.863647 0.928000 +vt 0.863140 0.931593 +vt 0.842347 0.964656 +vt 0.842181 0.965601 +vt 0.840727 0.965445 +vt 0.840940 0.964458 +vt 0.841134 0.963370 +vt 0.839720 0.963130 +vt 0.839207 0.976044 +vt 0.838469 0.977850 +vt 0.839313 0.978377 +vt 0.840149 0.976739 +vt 0.820550 0.961981 +vt 0.820907 0.961450 +vt 0.835208 0.983987 +vt 0.836064 0.984561 +vt 0.841359 0.975152 +vt 0.826212 0.917531 +vt 0.825249 0.917792 +vt 0.826551 0.918936 +vt 0.825531 0.919155 +vt 0.833014 0.967760 +vt 0.834961 0.968223 +vt 0.836685 0.968511 +vt 0.838284 0.968609 +vt 0.821198 0.960963 +vt 0.821450 0.960514 +vt 0.843178 0.969087 +vt 0.841565 0.968997 +vt 0.837779 0.983087 +vt 0.821693 0.960052 +vt 0.826802 0.920213 +vt 0.825768 0.920339 +vt 0.843528 0.964714 +vt 0.843449 0.965662 +vt 0.838149 0.963948 +vt 0.837836 0.964782 +vt 0.836184 0.964428 +vt 0.823669 0.960243 +vt 0.824663 0.960582 +vt 0.834095 0.963930 +vt 0.842494 0.963644 +vt 0.822763 0.959894 +vt 0.821952 0.959542 +vt 0.828280 0.962526 +vt 0.859958 0.921515 +vt 0.860644 0.919314 +vt 0.839515 0.964203 +vt 0.839237 0.965134 +vt 0.839911 0.968862 +vt 0.822241 0.958943 +vt 0.859323 0.921193 +vt 0.860001 0.918922 +vt 0.838238 0.962941 +vt 0.843581 0.963734 +vt 0.822567 0.958203 +vt 0.826132 0.922390 +vt 0.827217 0.922264 +vt 0.827385 0.923178 +vt 0.826248 0.923320 +vt 0.843696 0.949385 +vt 0.843733 0.951533 +vt 0.835901 0.965210 +vt 0.833872 0.964727 +vt 0.822347 0.968188 +vt 0.827595 0.924161 +vt 0.827849 0.925286 +vt 0.822913 0.957271 +vt 0.823238 0.956106 +vt 0.837559 0.965568 +vt 0.839009 0.965887 +vt 0.840556 0.966226 +vt 0.842059 0.966371 +vt 0.843413 0.966450 +vt 0.839147 0.986851 +vt 0.839784 0.987245 +vt 0.839318 0.987872 +vt 0.838726 0.987428 +vt 0.818032 0.963626 +vt 0.817501 0.963020 +vt 0.817960 0.962536 +vt 0.818527 0.963100 +vt 0.819010 0.962541 +vt 0.818434 0.962016 +vt 0.818891 0.961484 +vt 0.819472 0.961974 +vt 0.819301 0.960971 +vt 0.819887 0.961430 +vt 0.820235 0.960938 +vt 0.820518 0.960503 +vt 0.819927 0.960102 +vt 0.820175 0.959724 +vt 0.820764 0.960095 +vt 0.821002 0.959674 +vt 0.820417 0.959331 +vt 0.820675 0.958897 +vt 0.821256 0.959207 +vt 0.821539 0.958655 +vt 0.820955 0.958381 +vt 0.821262 0.957730 +vt 0.821858 0.957963 +vt 0.821580 0.956894 +vt 0.822196 0.957081 +vt 0.821864 0.955843 +vt 0.822509 0.955974 +vt 0.822724 0.954703 +vt 0.822051 0.954636 +vt 0.822108 0.953444 +vt 0.822793 0.953443 +vt 0.822729 0.952263 +vt 0.822057 0.952325 +vt 0.838166 0.947882 +vt 0.839741 0.947616 +vt 0.825286 0.945682 +vt 0.824358 0.945926 +vt 0.818958 0.942222 +vt 0.819841 0.942144 +vt 0.818214 0.941594 +vt 0.818603 0.941371 +vt 0.817873 0.941779 +vt 0.817220 0.941426 +vt 0.817427 0.941218 +vt 0.816666 0.940879 +vt 0.816777 0.940641 +vt 0.817633 0.941016 +vt 0.816535 0.941192 +vt 0.815802 0.940955 +vt 0.815900 0.940629 +vt 0.844264 0.933855 +vt 0.844645 0.933862 +vt 0.844653 0.934967 +vt 0.844167 0.934878 +vt 0.843964 0.936351 +vt 0.843431 0.936331 +vt 0.843851 0.934804 +vt 0.843822 0.937895 +vt 0.843065 0.938107 +vt 0.823557 0.946171 +vt 0.822801 0.946409 +vt 0.841265 0.947397 +vt 0.842543 0.947134 +vt 0.823467 0.954766 +vt 0.823541 0.953431 +vt 0.843633 0.946907 +vt 0.844693 0.946803 +vt 0.844698 0.949342 +vt 0.822064 0.946641 +vt 0.821227 0.946939 +vt 0.820982 0.946985 +vt 0.815962 0.940407 +vt 0.844009 0.933840 +vt 0.844713 0.970458 +vt 0.844712 0.967151 +vt 0.844712 0.968092 +vt 0.844703 0.953689 +vt 0.844706 0.955925 +vt 0.844713 0.969066 +vt 0.844711 0.964766 +vt 0.844712 0.965746 +vt 0.844711 0.963802 +vt 0.844701 0.951527 +vt 0.844712 0.966490 +vt 0.819645 0.960509 +vt 0.818430 0.942212 +vt 0.844660 0.936392 +vt 0.844667 0.937742 +vt 0.864197 0.931612 +vt 0.864642 0.927988 +vt 0.865231 0.931541 +vt 0.865566 0.927938 +vt 0.830349 0.934864 +vt 0.829859 0.933146 +vt 0.829311 0.931289 +vt 0.828093 0.926435 +vt 0.858804 0.920814 +vt 0.859477 0.918503 +vt 0.858324 0.920438 +vt 0.859086 0.918163 +vt 0.858645 0.917779 +vt 0.857727 0.919904 +vt 0.857112 0.919454 +vt 0.858129 0.917418 +vt 0.826804 0.926652 +vt 0.832717 0.926415 +vt 0.831769 0.926955 +vt 0.828196 0.933390 +vt 0.827760 0.931563 +vt 0.828585 0.935168 +vt 0.868409 0.927661 +vt 0.869325 0.927666 +vt 0.869309 0.930747 +vt 0.868235 0.930955 +vt 0.867235 0.931155 +vt 0.867413 0.927755 +vt 0.823692 0.983396 +vt 0.823390 0.982536 +vt 0.822946 0.986695 +vt 0.821944 0.986924 +vt 0.820718 0.987213 +vt 0.819324 0.987507 +vt 0.817740 0.987774 +vt 0.816294 0.987912 +vt 0.814530 0.988252 +vt 0.813121 0.988597 +vt 0.822967 0.981233 +vt 0.822168 0.980183 +vt 0.817295 0.975541 +vt 0.816642 0.976302 +vt 0.815847 0.977243 +vt 0.814928 0.978294 +vt 0.813778 0.979378 +vt 0.812625 0.980222 +vt 0.811156 0.981242 +vt 0.809991 0.982101 +vt 0.831066 0.985031 +vt 0.831838 0.984822 +vt 0.832546 0.984788 +vt 0.833393 0.984682 +vt 0.834129 0.984790 +vt 0.834882 0.985174 +vt 0.835708 0.985755 +vt 0.836571 0.986425 +vt 0.837473 0.987281 +vt 0.838225 0.987965 +vt 0.838858 0.988512 +vt 0.821454 0.978701 +vt 0.828442 0.927911 +vt 0.826992 0.928110 +vt 0.824753 0.928173 +vt 0.825738 0.928181 +vt 0.822933 0.928084 +vt 0.823837 0.928126 +vt 0.821021 0.927859 +vt 0.822007 0.927950 +vt 0.820112 0.927866 +vt 0.819216 0.927884 +vt 0.835496 0.924097 +vt 0.834908 0.924588 +vt 0.834253 0.925210 +vt 0.833475 0.925907 +vt 0.818246 0.927916 +vt 0.866256 0.931363 +vt 0.866479 0.927893 +vt 0.839724 0.986236 +vt 0.840252 0.986645 +vt 0.838732 0.982117 +vt 0.838608 0.983140 +vt 0.839099 0.985505 +vt 0.838684 0.984395 +vt 0.840343 0.985589 +vt 0.840792 0.985997 +vt 0.839661 0.982109 +vt 0.839535 0.982932 +vt 0.839829 0.984834 +vt 0.839542 0.983839 +vt 0.840987 0.984950 +vt 0.841396 0.985353 +vt 0.840497 0.982017 +vt 0.840466 0.982677 +vt 0.840565 0.984251 +vt 0.840438 0.983387 +vt 0.841661 0.984360 +vt 0.841980 0.984738 +vt 0.841232 0.981900 +vt 0.841172 0.982449 +vt 0.841312 0.983726 +vt 0.841191 0.982992 +vt 0.842151 0.983911 +vt 0.842523 0.984250 +vt 0.841660 0.981869 +vt 0.841575 0.982257 +vt 0.841828 0.983433 +vt 0.841603 0.982863 +vt 0.843339 0.976309 +vt 0.841953 0.976740 +vt 0.841006 0.977630 +vt 0.840157 0.978736 +vt 0.844714 0.976317 +vt 0.843599 0.977414 +vt 0.842481 0.977723 +vt 0.844714 0.977334 +vt 0.841474 0.978390 +vt 0.840838 0.979130 +vt 0.841975 0.979021 +vt 0.841451 0.979560 +vt 0.842845 0.978559 +vt 0.843750 0.978338 +vt 0.844714 0.978237 +vt 0.843858 0.979025 +vt 0.843104 0.979270 +vt 0.844714 0.978925 +vt 0.842402 0.979666 +vt 0.841925 0.980085 +vt 0.843273 0.979720 +vt 0.842706 0.980114 +vt 0.843937 0.979512 +vt 0.844715 0.979435 +vt 0.842309 0.980522 +vt 0.839252 0.980541 +vt 0.838967 0.981331 +vt 0.839678 0.979628 +vt 0.840192 0.980630 +vt 0.839856 0.981399 +vt 0.840428 0.979886 +vt 0.840771 0.980840 +vt 0.840591 0.981452 +vt 0.841016 0.980172 +vt 0.841366 0.981071 +vt 0.841278 0.981508 +vt 0.841564 0.980643 +vt 0.841890 0.981241 +vt 0.841744 0.981550 +vt 0.842056 0.980928 +vt 0.823221 0.912773 +vt 0.828337 0.911303 +vt 0.818376 0.913343 +vt 0.831705 0.904954 +vt 0.831658 0.902638 +vt 0.833412 0.902840 +vt 0.833740 0.904954 +vt 0.866352 0.911213 +vt 0.866467 0.910327 +vt 0.867072 0.910487 +vt 0.866892 0.911330 +vt 0.862802 0.910351 +vt 0.863126 0.910441 +vt 0.862641 0.911525 +vt 0.862322 0.911394 +vt 0.863601 0.910596 +vt 0.863177 0.911755 +vt 0.862031 0.911300 +vt 0.862510 0.910287 +vt 0.867531 0.911444 +vt 0.867417 0.912703 +vt 0.866701 0.912612 +vt 0.862779 0.909553 +vt 0.863118 0.909617 +vt 0.863507 0.909693 +vt 0.863956 0.909766 +vt 0.821532 0.900766 +vt 0.821068 0.902575 +vt 0.820021 0.902630 +vt 0.820349 0.900809 +vt 0.818114 0.903263 +vt 0.817823 0.901317 +vt 0.819176 0.900981 +vt 0.819045 0.902816 +vt 0.861375 0.910037 +vt 0.861692 0.909433 +vt 0.862112 0.909493 +vt 0.861829 0.910159 +vt 0.868286 0.910857 +vt 0.868268 0.911567 +vt 0.867695 0.910688 +vt 0.869561 0.911209 +vt 0.869477 0.911904 +vt 0.868924 0.911815 +vt 0.868917 0.911066 +vt 0.837011 0.902551 +vt 0.837685 0.904049 +vt 0.835823 0.904666 +vt 0.835396 0.902721 +vt 0.840340 0.900800 +vt 0.841365 0.902255 +vt 0.839625 0.903287 +vt 0.838819 0.901779 +vt 0.816931 0.903776 +vt 0.816577 0.901850 +vt 0.822266 0.902773 +vt 0.822834 0.900906 +vt 0.824266 0.901186 +vt 0.823621 0.903147 +vt 0.862453 0.909506 +vt 0.862229 0.910235 +vt 0.864156 0.910711 +vt 0.863728 0.911867 +vt 0.843035 0.898502 +vt 0.844073 0.897223 +vt 0.844190 0.899989 +vt 0.870721 0.911335 +vt 0.871239 0.911323 +vt 0.871112 0.911989 +vt 0.870615 0.911987 +vt 0.842848 0.901109 +vt 0.841767 0.899653 +vt 0.870072 0.911963 +vt 0.870165 0.911287 +vt 0.864405 0.909775 +vt 0.825734 0.901541 +vt 0.824983 0.903475 +vt 0.829812 0.902368 +vt 0.829341 0.904736 +vt 0.827157 0.904099 +vt 0.827657 0.902105 +vt 0.864860 0.910842 +vt 0.865109 0.909898 +vt 0.865759 0.910160 +vt 0.865572 0.911019 +vt 0.865276 0.912264 +vt 0.864509 0.912098 +vt 0.823328 0.899052 +vt 0.822043 0.899063 +vt 0.822573 0.897220 +vt 0.823934 0.897290 +vt 0.820698 0.899047 +vt 0.819276 0.899146 +vt 0.819793 0.897062 +vt 0.821200 0.897012 +vt 0.838099 0.893903 +vt 0.839221 0.894028 +vt 0.838127 0.895622 +vt 0.837286 0.895242 +vt 0.828805 0.886234 +vt 0.829072 0.885702 +vt 0.830234 0.885541 +vt 0.829845 0.886379 +vt 0.842476 0.895047 +vt 0.840968 0.896209 +vt 0.841657 0.892887 +vt 0.836599 0.896512 +vt 0.837134 0.897032 +vt 0.836240 0.897951 +vt 0.835882 0.897447 +vt 0.836474 0.894990 +vt 0.835707 0.894688 +vt 0.835848 0.893851 +vt 0.837065 0.893861 +vt 0.836027 0.896100 +vt 0.835481 0.896129 +vt 0.835537 0.897145 +vt 0.835236 0.896843 +vt 0.833606 0.898450 +vt 0.833632 0.897953 +vt 0.834305 0.897942 +vt 0.834413 0.898362 +vt 0.832472 0.898050 +vt 0.832851 0.897466 +vt 0.831393 0.897392 +vt 0.831901 0.896854 +vt 0.830355 0.896586 +vt 0.831253 0.896088 +vt 0.831768 0.900462 +vt 0.830345 0.900071 +vt 0.830893 0.898073 +vt 0.832166 0.898728 +vt 0.833231 0.900739 +vt 0.833330 0.898989 +vt 0.834828 0.900650 +vt 0.834467 0.898858 +vt 0.827637 0.885805 +vt 0.827506 0.886458 +vt 0.826655 0.886238 +vt 0.826481 0.885314 +vt 0.818519 0.896857 +vt 0.817729 0.899255 +vt 0.816258 0.899190 +vt 0.816565 0.896970 +vt 0.825325 0.897260 +vt 0.824943 0.899258 +vt 0.828278 0.899637 +vt 0.829371 0.897173 +vt 0.838802 0.898579 +vt 0.837605 0.899593 +vt 0.828025 0.888546 +vt 0.828164 0.888613 +vt 0.828290 0.889114 +vt 0.828083 0.889106 +vt 0.839946 0.897453 +vt 0.833440 0.895495 +vt 0.832606 0.896065 +vt 0.832241 0.895411 +vt 0.833195 0.894799 +vt 0.833937 0.896681 +vt 0.833323 0.897086 +vt 0.834188 0.897458 +vt 0.833738 0.897534 +vt 0.826063 0.884131 +vt 0.827985 0.884969 +vt 0.834989 0.894847 +vt 0.834878 0.894032 +vt 0.834897 0.896335 +vt 0.834904 0.897212 +vt 0.827421 0.886923 +vt 0.827433 0.887362 +vt 0.826863 0.887549 +vt 0.826760 0.886949 +vt 0.836235 0.900335 +vt 0.835395 0.898511 +vt 0.835169 0.898013 +vt 0.835048 0.897585 +vt 0.829006 0.888124 +vt 0.828630 0.888754 +vt 0.828308 0.888294 +vt 0.828457 0.887706 +vt 0.828593 0.886942 +vt 0.829364 0.887239 +vt 0.827008 0.888049 +vt 0.827514 0.887718 +vt 0.827873 0.889088 +vt 0.827497 0.888844 +vt 0.827657 0.888393 +vt 0.827889 0.888480 +vt 0.827209 0.888467 +vt 0.827593 0.888095 +vt 0.828854 0.885511 +vt 0.828587 0.885317 +vt 0.830072 0.884650 +vt 0.830167 0.885119 +vt 0.829379 0.883732 +vt 0.827903 0.889975 +vt 0.827437 0.889676 +vt 0.826321 0.888987 +vt 0.825794 0.888373 +vt 0.831708 0.887153 +vt 0.830950 0.888228 +vt 0.830093 0.889182 +vt 0.825240 0.887721 +vt 0.824657 0.886954 +vt 0.829198 0.889829 +vt 0.823778 0.885906 +vt 0.822689 0.884932 +vt 0.828510 0.890061 +vt 0.828201 0.890029 +vt 0.832410 0.886135 +vt 0.826884 0.889411 +vt 0.832509 0.883623 +vt 0.832715 0.884991 +vt 0.832563 0.885593 +vt 0.827321 0.891153 +vt 0.826628 0.890861 +vt 0.834117 0.887387 +vt 0.833169 0.888326 +vt 0.822909 0.888821 +vt 0.821457 0.887933 +vt 0.828961 0.891462 +vt 0.828464 0.891464 +vt 0.820258 0.887225 +vt 0.824927 0.890023 +vt 0.823939 0.889478 +vt 0.830962 0.890413 +vt 0.829881 0.891161 +vt 0.832128 0.889379 +vt 0.825833 0.890482 +vt 0.827991 0.891426 +vt 0.834903 0.886276 +vt 0.834507 0.886857 +vt 0.835420 0.884609 +vt 0.825202 0.892268 +vt 0.824171 0.891935 +vt 0.834439 0.889974 +vt 0.833237 0.890843 +vt 0.821629 0.891042 +vt 0.820287 0.890538 +vt 0.822863 0.891479 +vt 0.831828 0.891863 +vt 0.830698 0.892636 +vt 0.827154 0.892976 +vt 0.826167 0.892592 +vt 0.818392 0.890332 +vt 0.829744 0.893118 +vt 0.829015 0.893320 +vt 0.837066 0.888607 +vt 0.836277 0.889031 +vt 0.835546 0.889421 +vt 0.828341 0.893471 +vt 0.837841 0.887113 +vt 0.826981 0.897315 +vt 0.826465 0.899426 +vt 0.838803 0.891308 +vt 0.837595 0.891457 +vt 0.840118 0.889925 +vt 0.827249 0.895195 +vt 0.825745 0.895052 +vt 0.836515 0.891627 +vt 0.835319 0.891868 +vt 0.820592 0.894203 +vt 0.819162 0.894005 +vt 0.830557 0.894569 +vt 0.829745 0.894939 +vt 0.817439 0.893870 +vt 0.823256 0.894734 +vt 0.821926 0.894429 +vt 0.832552 0.893357 +vt 0.831503 0.894032 +vt 0.834108 0.892485 +vt 0.824515 0.894940 +vt 0.828867 0.895300 +vt 0.828158 0.886090 +vt 0.827897 0.888056 +vt 0.827948 0.886804 +vt 0.827704 0.887025 +vt 0.827694 0.887271 +vt 0.827879 0.887517 +vt 0.828491 0.886142 +vt 0.828101 0.888168 +vt 0.828169 0.887603 +vt 0.828277 0.886859 +vt 0.848857 0.974205 +vt 0.848658 0.972690 +vt 0.850726 0.972831 +vt 0.851207 0.974418 +vt 0.852319 0.972829 +vt 0.852686 0.974486 +vt 0.853898 0.972726 +vt 0.854152 0.974412 +vt 0.855638 0.972077 +vt 0.855831 0.973691 +vt 0.867337 0.963238 +vt 0.866443 0.963935 +vt 0.866011 0.963225 +vt 0.866935 0.962601 +vt 0.868151 0.962582 +vt 0.867775 0.961999 +vt 0.865595 0.966968 +vt 0.866662 0.966177 +vt 0.867394 0.966799 +vt 0.866570 0.967403 +vt 0.867543 0.965411 +vt 0.868147 0.966126 +vt 0.846309 0.973841 +vt 0.846310 0.972552 +vt 0.848374 0.971471 +vt 0.848117 0.970257 +vt 0.849803 0.970191 +vt 0.850198 0.971486 +vt 0.851426 0.970093 +vt 0.851810 0.971432 +vt 0.853127 0.969828 +vt 0.853564 0.971209 +vt 0.854923 0.969463 +vt 0.855299 0.970842 +vt 0.846312 0.971484 +vt 0.846339 0.970371 +vt 0.852611 0.979944 +vt 0.852805 0.980816 +vt 0.851846 0.980954 +vt 0.851657 0.980143 +vt 0.853008 0.981889 +vt 0.852075 0.981843 +vt 0.853144 0.983057 +vt 0.852306 0.983118 +vt 0.868354 0.964636 +vt 0.866969 0.964670 +vt 0.867813 0.963919 +vt 0.862429 0.961262 +vt 0.861006 0.961683 +vt 0.860778 0.960710 +vt 0.862196 0.960345 +vt 0.869095 0.963873 +vt 0.868593 0.963208 +vt 0.852517 0.978835 +vt 0.851364 0.979090 +vt 0.853749 0.979782 +vt 0.853858 0.980744 +vt 0.853987 0.981741 +vt 0.854021 0.982683 +vt 0.855174 0.979741 +vt 0.855147 0.980700 +vt 0.863765 0.967708 +vt 0.863080 0.966937 +vt 0.864805 0.966247 +vt 0.855166 0.981519 +vt 0.855071 0.982260 +vt 0.856587 0.979820 +vt 0.856462 0.980716 +vt 0.856217 0.981591 +vt 0.856015 0.982454 +vt 0.867193 0.960956 +vt 0.866307 0.961425 +vt 0.866043 0.960851 +vt 0.866944 0.960444 +vt 0.857961 0.980067 +vt 0.857686 0.980960 +vt 0.857388 0.981834 +vt 0.857144 0.982674 +vt 0.857463 0.971421 +vt 0.857202 0.970265 +vt 0.860155 0.980628 +vt 0.859811 0.981554 +vt 0.858928 0.981313 +vt 0.859250 0.980363 +vt 0.864758 0.969167 +vt 0.864970 0.970015 +vt 0.863083 0.971105 +vt 0.862335 0.970392 +vt 0.859430 0.982363 +vt 0.858474 0.982090 +vt 0.858980 0.983142 +vt 0.858026 0.982908 +vt 0.861261 0.980930 +vt 0.860891 0.981879 +vt 0.865491 0.971064 +vt 0.864009 0.972142 +vt 0.860542 0.982673 +vt 0.860145 0.983412 +vt 0.852140 0.966399 +vt 0.853782 0.966054 +vt 0.854030 0.967049 +vt 0.852411 0.967345 +vt 0.857738 0.972828 +vt 0.856832 0.968981 +vt 0.853738 0.978691 +vt 0.855161 0.978687 +vt 0.856604 0.978769 +vt 0.858142 0.978907 +vt 0.860541 0.979169 +vt 0.859549 0.978958 +vt 0.861723 0.979415 +vt 0.868390 0.967508 +vt 0.867801 0.967858 +vt 0.846117 0.967180 +vt 0.847484 0.967198 +vt 0.847653 0.968101 +vt 0.846205 0.968139 +vt 0.849098 0.967088 +vt 0.849263 0.967917 +vt 0.850669 0.966722 +vt 0.850936 0.967666 +vt 0.866260 0.972129 +vt 0.867447 0.973029 +vt 0.866556 0.974370 +vt 0.865199 0.973362 +vt 0.863114 0.982477 +vt 0.862723 0.983266 +vt 0.861730 0.982960 +vt 0.862097 0.982196 +vt 0.862449 0.983973 +vt 0.861419 0.983708 +vt 0.864127 0.980155 +vt 0.863527 0.981616 +vt 0.862506 0.981208 +vt 0.862981 0.979835 +vt 0.864546 0.963119 +vt 0.865636 0.962552 +vt 0.864953 0.963885 +vt 0.863595 0.983514 +vt 0.863319 0.984152 +vt 0.865071 0.980560 +vt 0.864411 0.981972 +vt 0.863983 0.982792 +vt 0.868259 0.973664 +vt 0.867562 0.975004 +vt 0.867464 0.961465 +vt 0.866599 0.962002 +vt 0.865322 0.961901 +vt 0.863935 0.961662 +vt 0.865044 0.961256 +vt 0.864213 0.962384 +vt 0.863301 0.963680 +vt 0.861766 0.964175 +vt 0.861476 0.963327 +vt 0.862962 0.962870 +vt 0.850652 0.979397 +vt 0.851042 0.980404 +vt 0.851319 0.981209 +vt 0.851574 0.982035 +vt 0.845760 0.962403 +vt 0.845708 0.960485 +vt 0.846307 0.975015 +vt 0.864431 0.983672 +vt 0.864156 0.984344 +vt 0.865842 0.980923 +vt 0.865161 0.982225 +vt 0.855782 0.965595 +vt 0.856015 0.966615 +vt 0.862664 0.962083 +vt 0.863677 0.960905 +vt 0.864771 0.983008 +vt 0.869032 0.974263 +vt 0.868421 0.975528 +vt 0.866018 0.965456 +vt 0.864208 0.965407 +vt 0.865446 0.964675 +vt 0.862908 0.933626 +vt 0.864068 0.933740 +vt 0.862545 0.965962 +vt 0.862131 0.965043 +vt 0.863695 0.964517 +vt 0.876591 0.987387 +vt 0.876453 0.987938 +vt 0.875533 0.987644 +vt 0.875726 0.987092 +vt 0.873328 0.987032 +vt 0.873573 0.986398 +vt 0.871993 0.986800 +vt 0.872270 0.986125 +vt 0.870506 0.986617 +vt 0.870860 0.985864 +vt 0.867773 0.982939 +vt 0.867617 0.983782 +vt 0.866686 0.983660 +vt 0.866834 0.982784 +vt 0.871317 0.975974 +vt 0.870672 0.977001 +vt 0.870054 0.976492 +vt 0.870812 0.975356 +vt 0.867428 0.984487 +vt 0.866577 0.984340 +vt 0.867253 0.985084 +vt 0.866441 0.984922 +vt 0.867836 0.981817 +vt 0.867073 0.981495 +vt 0.869112 0.986349 +vt 0.869479 0.985600 +vt 0.869158 0.972797 +vt 0.869851 0.973279 +vt 0.867889 0.986056 +vt 0.868225 0.985331 +vt 0.865784 0.914124 +vt 0.866421 0.914257 +vt 0.866201 0.916272 +vt 0.865353 0.916075 +vt 0.871876 0.976861 +vt 0.871244 0.977742 +vt 0.868616 0.984145 +vt 0.868410 0.984768 +vt 0.868850 0.982362 +vt 0.868742 0.983406 +vt 0.866960 0.985825 +vt 0.862911 0.984908 +vt 0.863774 0.985033 +vt 0.863354 0.985823 +vt 0.862535 0.985710 +vt 0.866154 0.985624 +vt 0.866021 0.917712 +vt 0.865038 0.917659 +vt 0.865797 0.919010 +vt 0.864791 0.918963 +vt 0.869676 0.985048 +vt 0.870151 0.982907 +vt 0.870006 0.983827 +vt 0.868360 0.972140 +vt 0.869302 0.975882 +vt 0.870007 0.974728 +vt 0.869853 0.984455 +vt 0.872739 0.977888 +vt 0.872164 0.978708 +vt 0.871630 0.983379 +vt 0.871451 0.984203 +vt 0.861551 0.985507 +vt 0.861986 0.984691 +vt 0.865256 0.923171 +vt 0.864201 0.923181 +vt 0.871272 0.984809 +vt 0.873720 0.978956 +vt 0.873233 0.979652 +vt 0.871094 0.985332 +vt 0.867514 0.971388 +vt 0.865088 0.924107 +vt 0.864042 0.924163 +vt 0.872906 0.984632 +vt 0.872676 0.985157 +vt 0.874830 0.980014 +vt 0.874367 0.980583 +vt 0.872505 0.985651 +vt 0.873109 0.983896 +vt 0.874196 0.985025 +vt 0.873946 0.985476 +vt 0.875944 0.980881 +vt 0.875466 0.981392 +vt 0.873809 0.985928 +vt 0.874355 0.984404 +vt 0.860906 0.984475 +vt 0.860461 0.985327 +vt 0.866480 0.969451 +vt 0.866714 0.970363 +vt 0.876157 0.985711 +vt 0.876012 0.986082 +vt 0.877559 0.981978 +vt 0.877119 0.982530 +vt 0.875895 0.986582 +vt 0.876293 0.985191 +vt 0.859249 0.985143 +vt 0.859596 0.984236 +vt 0.858580 0.984023 +vt 0.866726 0.968744 +vt 0.878851 0.982898 +vt 0.878449 0.983377 +vt 0.876899 0.986336 +vt 0.876689 0.986910 +vt 0.877143 0.985507 +vt 0.877009 0.985977 +vt 0.857679 0.983865 +vt 0.876634 0.983808 +vt 0.877716 0.984391 +vt 0.877320 0.985022 +vt 0.876482 0.984607 +vt 0.876841 0.983077 +vt 0.878106 0.983878 +vt 0.874529 0.983739 +vt 0.874778 0.982759 +vt 0.873622 0.982058 +vt 0.873278 0.983143 +vt 0.875106 0.981992 +vt 0.874009 0.981212 +vt 0.872330 0.981271 +vt 0.872809 0.980330 +vt 0.871799 0.982511 +vt 0.871661 0.979436 +vt 0.871018 0.980428 +vt 0.870639 0.978516 +vt 0.869787 0.979686 +vt 0.870004 0.977834 +vt 0.869043 0.979310 +vt 0.869543 0.977593 +vt 0.868583 0.979088 +vt 0.870761 0.973988 +vt 0.871615 0.974829 +vt 0.870304 0.981905 +vt 0.865053 0.985357 +vt 0.865614 0.986458 +vt 0.864450 0.986132 +vt 0.869009 0.981265 +vt 0.868269 0.980795 +vt 0.867820 0.980509 +vt 0.865404 0.984658 +vt 0.865565 0.984075 +vt 0.867017 0.976251 +vt 0.868028 0.976692 +vt 0.867433 0.978300 +vt 0.866324 0.977852 +vt 0.869550 0.966209 +vt 0.868944 0.966943 +vt 0.868922 0.965380 +vt 0.870219 0.965417 +vt 0.869632 0.964587 +vt 0.863948 0.925339 +vt 0.864942 0.925342 +vt 0.864791 0.926550 +vt 0.863813 0.926553 +vt 0.862588 0.935491 +vt 0.863896 0.935713 +vt 0.862104 0.938290 +vt 0.863655 0.938495 +vt 0.863749 0.939626 +vt 0.862052 0.939383 +vt 0.864980 0.942640 +vt 0.863834 0.942293 +vt 0.863889 0.940831 +vt 0.865286 0.941130 +vt 0.862570 0.951661 +vt 0.861480 0.951555 +vt 0.861687 0.950024 +vt 0.862750 0.950177 +vt 0.863422 0.960058 +vt 0.861983 0.959281 +vt 0.863176 0.959073 +vt 0.862946 0.957889 +vt 0.861807 0.958027 +vt 0.861640 0.956530 +vt 0.862732 0.956454 +vt 0.864813 0.968321 +vt 0.865909 0.975743 +vt 0.865154 0.977516 +vt 0.864475 0.974853 +vt 0.863724 0.976859 +vt 0.861388 0.972712 +vt 0.862907 0.973683 +vt 0.862146 0.976127 +vt 0.860499 0.975454 +vt 0.858980 0.975088 +vt 0.859817 0.972176 +vt 0.866564 0.979828 +vt 0.865599 0.979361 +vt 0.857904 0.975271 +vt 0.864519 0.978970 +vt 0.856147 0.975671 +vt 0.863314 0.978534 +vt 0.861912 0.978155 +vt 0.860588 0.977826 +vt 0.854547 0.976048 +vt 0.859453 0.977566 +vt 0.853058 0.976044 +vt 0.858119 0.977449 +vt 0.856459 0.977435 +vt 0.854965 0.977537 +vt 0.865480 0.959516 +vt 0.864497 0.959790 +vt 0.864213 0.958874 +vt 0.865169 0.958661 +vt 0.860533 0.959536 +vt 0.866384 0.959226 +vt 0.866058 0.958430 +vt 0.863932 0.957758 +vt 0.864848 0.957610 +vt 0.860413 0.958224 +vt 0.865718 0.957440 +vt 0.863675 0.956388 +vt 0.864554 0.956309 +vt 0.860322 0.956691 +vt 0.865400 0.956208 +vt 0.854558 0.957679 +vt 0.854582 0.959220 +vt 0.852533 0.959571 +vt 0.852539 0.957774 +vt 0.851046 0.961704 +vt 0.849488 0.961981 +vt 0.849406 0.960083 +vt 0.850957 0.959852 +vt 0.849334 0.958064 +vt 0.850912 0.957933 +vt 0.854813 0.960842 +vt 0.852756 0.961277 +vt 0.847984 0.960265 +vt 0.846748 0.960412 +vt 0.846689 0.958251 +vt 0.847898 0.958182 +vt 0.845675 0.958261 +vt 0.852868 0.962583 +vt 0.854991 0.962122 +vt 0.855146 0.963094 +vt 0.852999 0.963587 +vt 0.848107 0.962072 +vt 0.846835 0.962280 +vt 0.851752 0.976007 +vt 0.865177 0.954790 +vt 0.864350 0.954819 +vt 0.864288 0.953329 +vt 0.865108 0.953374 +vt 0.863493 0.954830 +vt 0.863433 0.953270 +vt 0.862570 0.954827 +vt 0.862503 0.953205 +vt 0.861439 0.953136 +vt 0.861521 0.954806 +vt 0.860352 0.954738 +vt 0.860212 0.953051 +vt 0.854533 0.955329 +vt 0.852567 0.955605 +vt 0.852604 0.953467 +vt 0.854491 0.953225 +vt 0.850979 0.953533 +vt 0.850915 0.955728 +vt 0.849363 0.953578 +vt 0.849313 0.955811 +vt 0.847877 0.953642 +vt 0.847860 0.955900 +vt 0.846645 0.953681 +vt 0.846659 0.955940 +vt 0.852682 0.951636 +vt 0.851071 0.951583 +vt 0.851169 0.949723 +vt 0.852787 0.949836 +vt 0.847953 0.951543 +vt 0.846673 0.951543 +vt 0.846744 0.949466 +vt 0.848054 0.949550 +vt 0.849467 0.951547 +vt 0.849583 0.949625 +vt 0.854419 0.951636 +vt 0.854437 0.949985 +vt 0.865190 0.952035 +vt 0.864372 0.951913 +vt 0.864504 0.950610 +vt 0.865300 0.950795 +vt 0.863512 0.951784 +vt 0.863662 0.950386 +vt 0.860145 0.951464 +vt 0.860224 0.949898 +vt 0.867731 0.943313 +vt 0.867003 0.943119 +vt 0.868148 0.941294 +vt 0.868890 0.941721 +vt 0.866031 0.942956 +vt 0.866570 0.941473 +vt 0.862058 0.941791 +vt 0.862182 0.940458 +vt 0.868672 0.945088 +vt 0.869565 0.943283 +vt 0.870215 0.943078 +vt 0.868980 0.945094 +vt 0.867118 0.944813 +vt 0.868543 0.943473 +vt 0.867856 0.944993 +vt 0.866388 0.944650 +vt 0.845755 0.941487 +vt 0.845780 0.944168 +vt 0.845584 0.938982 +vt 0.865548 0.944415 +vt 0.864585 0.944147 +vt 0.867267 0.949974 +vt 0.867681 0.948492 +vt 0.868060 0.948647 +vt 0.867761 0.950032 +vt 0.865748 0.949348 +vt 0.866150 0.947958 +vt 0.866923 0.948247 +vt 0.866524 0.949618 +vt 0.864946 0.949094 +vt 0.865379 0.947664 +vt 0.864096 0.948859 +vt 0.864559 0.947387 +vt 0.863159 0.948658 +vt 0.863608 0.947174 +vt 0.862591 0.946976 +vt 0.862124 0.948508 +vt 0.860658 0.948427 +vt 0.861049 0.946857 +vt 0.846813 0.941926 +vt 0.848082 0.942400 +vt 0.848087 0.945059 +vt 0.846875 0.944569 +vt 0.849785 0.942901 +vt 0.849696 0.945367 +vt 0.851408 0.943390 +vt 0.851354 0.945656 +vt 0.853064 0.943720 +vt 0.852940 0.945922 +vt 0.855168 0.944048 +vt 0.854976 0.946347 +vt 0.846455 0.939239 +vt 0.847884 0.939766 +vt 0.849763 0.940657 +vt 0.851618 0.941227 +vt 0.853407 0.941607 +vt 0.855471 0.941995 +vt 0.863454 0.943825 +vt 0.861775 0.943363 +vt 0.866897 0.951218 +vt 0.867507 0.951349 +vt 0.866126 0.950976 +vt 0.856818 0.983723 +vt 0.855895 0.983535 +vt 0.855036 0.983572 +vt 0.845659 0.953687 +vt 0.845662 0.955933 +vt 0.861420 0.945092 +vt 0.862990 0.945390 +vt 0.850779 0.937370 +vt 0.852499 0.938088 +vt 0.851979 0.939625 +vt 0.850137 0.938904 +vt 0.847844 0.937640 +vt 0.848993 0.936285 +vt 0.855647 0.940445 +vt 0.853703 0.940113 +vt 0.854086 0.938626 +vt 0.855916 0.939057 +vt 0.846801 0.933690 +vt 0.847699 0.934937 +vt 0.846823 0.935773 +vt 0.846257 0.934092 +vt 0.846395 0.932793 +vt 0.845967 0.933198 +vt 0.869787 0.940722 +vt 0.869346 0.940042 +vt 0.866359 0.939586 +vt 0.865109 0.939711 +vt 0.864902 0.938481 +vt 0.866198 0.938328 +vt 0.852158 0.934511 +vt 0.853597 0.935483 +vt 0.852996 0.936827 +vt 0.851428 0.935883 +vt 0.867679 0.939285 +vt 0.867456 0.937860 +vt 0.849046 0.931468 +vt 0.849860 0.932501 +vt 0.848907 0.933662 +vt 0.848033 0.932595 +vt 0.855001 0.936294 +vt 0.854522 0.937475 +vt 0.848239 0.930656 +vt 0.847378 0.931685 +vt 0.850029 0.934880 +vt 0.850955 0.933541 +vt 0.856266 0.938026 +vt 0.856553 0.936974 +vt 0.868978 0.938740 +vt 0.868600 0.937458 +vt 0.850630 0.929408 +vt 0.851597 0.928132 +vt 0.852412 0.928956 +vt 0.851454 0.930257 +vt 0.849833 0.928719 +vt 0.850839 0.927487 +vt 0.871392 0.933977 +vt 0.870360 0.934084 +vt 0.870265 0.932437 +vt 0.871260 0.932392 +vt 0.865185 0.933678 +vt 0.865143 0.935666 +vt 0.868853 0.977077 +vt 0.857700 0.924000 +vt 0.858410 0.924298 +vt 0.858074 0.925431 +vt 0.857279 0.925049 +vt 0.867605 0.926413 +vt 0.866694 0.926512 +vt 0.866882 0.925327 +vt 0.867762 0.925379 +vt 0.855510 0.922460 +vt 0.856206 0.923036 +vt 0.855705 0.923909 +vt 0.854988 0.923286 +vt 0.859179 0.924537 +vt 0.858912 0.925741 +vt 0.854736 0.921964 +vt 0.854337 0.922815 +vt 0.856501 0.924571 +vt 0.856939 0.923637 +vt 0.859896 0.925999 +vt 0.860213 0.924817 +vt 0.868576 0.926332 +vt 0.868665 0.925416 +vt 0.865757 0.926541 +vt 0.865913 0.925365 +vt 0.857459 0.922458 +vt 0.858123 0.922933 +vt 0.856781 0.921842 +vt 0.856129 0.921295 +vt 0.855530 0.920749 +vt 0.870233 0.925498 +vt 0.870235 0.923983 +vt 0.871055 0.924044 +vt 0.871039 0.925527 +vt 0.869474 0.925451 +vt 0.869473 0.923948 +vt 0.868719 0.923958 +vt 0.855967 0.919930 +vt 0.856613 0.920368 +vt 0.857959 0.921567 +vt 0.858480 0.921913 +vt 0.860589 0.923749 +vt 0.859462 0.923456 +vt 0.859716 0.922482 +vt 0.860866 0.922764 +vt 0.867888 0.924020 +vt 0.867970 0.923071 +vt 0.868782 0.922995 +vt 0.867021 0.924088 +vt 0.866105 0.924114 +vt 0.866256 0.923152 +vt 0.867105 0.923110 +vt 0.859058 0.922233 +vt 0.858769 0.923230 +vt 0.857273 0.920883 +vt 0.859600 0.970711 +vt 0.862049 0.969548 +vt 0.867238 0.922189 +vt 0.868035 0.922090 +vt 0.859270 0.969570 +vt 0.861535 0.968703 +vt 0.856457 0.919054 +vt 0.868858 0.921998 +vt 0.858901 0.968560 +vt 0.861050 0.967765 +vt 0.858509 0.967355 +vt 0.860615 0.966726 +vt 0.860269 0.965667 +vt 0.858159 0.966144 +vt 0.857914 0.965076 +vt 0.859949 0.964670 +vt 0.857680 0.964155 +vt 0.859653 0.963745 +vt 0.860389 0.917606 +vt 0.861031 0.917962 +vt 0.858121 0.916010 +vt 0.858673 0.916317 +vt 0.857479 0.917077 +vt 0.859537 0.916951 +vt 0.859882 0.917231 +vt 0.861867 0.918329 +vt 0.868982 0.919980 +vt 0.868239 0.920022 +vt 0.868326 0.918920 +vt 0.869105 0.918873 +vt 0.867528 0.920098 +vt 0.866735 0.918994 +vt 0.867593 0.918964 +vt 0.857458 0.963304 +vt 0.859386 0.962885 +vt 0.859152 0.916642 +vt 0.868403 0.917751 +vt 0.869179 0.917667 +vt 0.866961 0.917783 +vt 0.867727 0.917784 +vt 0.860343 0.915888 +vt 0.860763 0.916154 +vt 0.857255 0.962447 +vt 0.859161 0.962010 +vt 0.859270 0.915127 +vt 0.859668 0.915407 +vt 0.858915 0.961014 +vt 0.857057 0.961482 +vt 0.861366 0.916474 +vt 0.858772 0.914848 +vt 0.860035 0.915667 +vt 0.862246 0.916904 +vt 0.859982 0.913882 +vt 0.860317 0.914101 +vt 0.856850 0.960286 +vt 0.858787 0.959858 +vt 0.861264 0.914650 +vt 0.861856 0.914919 +vt 0.859484 0.913636 +vt 0.860617 0.914303 +vt 0.860902 0.914472 +vt 0.862665 0.915280 +vt 0.868563 0.916438 +vt 0.869191 0.916279 +vt 0.867158 0.916422 +vt 0.867915 0.916492 +vt 0.858799 0.958543 +vt 0.856625 0.958775 +vt 0.862482 0.913343 +vt 0.863138 0.913474 +vt 0.868658 0.914745 +vt 0.869279 0.914673 +vt 0.867261 0.914437 +vt 0.868017 0.914706 +vt 0.861643 0.912924 +vt 0.861950 0.913043 +vt 0.858739 0.957219 +vt 0.856498 0.957608 +vt 0.860725 0.912512 +vt 0.861042 0.912672 +vt 0.860221 0.912275 +vt 0.861356 0.912805 +vt 0.856355 0.955060 +vt 0.856349 0.953068 +vt 0.858513 0.953135 +vt 0.858636 0.954986 +vt 0.856435 0.951585 +vt 0.858508 0.951594 +vt 0.856623 0.950054 +vt 0.858652 0.949989 +vt 0.868828 0.912849 +vt 0.868134 0.912741 +vt 0.869374 0.912918 +vt 0.870483 0.914525 +vt 0.869908 0.914601 +vt 0.870013 0.912978 +vt 0.870553 0.913018 +vt 0.861382 0.911077 +vt 0.861731 0.911209 +vt 0.857042 0.948327 +vt 0.859023 0.948336 +vt 0.859401 0.946676 +vt 0.857350 0.946613 +vt 0.857598 0.944441 +vt 0.859709 0.944799 +vt 0.857706 0.942474 +vt 0.859753 0.942895 +vt 0.870522 0.916055 +vt 0.869875 0.916155 +vt 0.870589 0.917436 +vt 0.869876 0.917549 +vt 0.870602 0.918727 +vt 0.869811 0.918817 +vt 0.870528 0.919920 +vt 0.869693 0.919965 +vt 0.869580 0.921995 +vt 0.870372 0.922030 +vt 0.870284 0.923045 +vt 0.869498 0.923002 +vt 0.870206 0.926372 +vt 0.869428 0.926327 +vt 0.857848 0.940761 +vt 0.859906 0.941180 +vt 0.857983 0.939495 +vt 0.859943 0.939962 +vt 0.852825 0.948074 +vt 0.854849 0.948232 +vt 0.865977 0.952141 +vt 0.871034 0.937898 +vt 0.870079 0.938276 +vt 0.869712 0.937047 +vt 0.870718 0.936734 +vt 0.870590 0.939576 +vt 0.871720 0.939226 +vt 0.872043 0.939770 +vt 0.870926 0.940036 +vt 0.851013 0.986157 +vt 0.851631 0.984844 +vt 0.852391 0.985155 +vt 0.851484 0.986687 +vt 0.871128 0.915990 +vt 0.871026 0.914468 +vt 0.871199 0.917373 +vt 0.871311 0.918684 +vt 0.871286 0.919932 +vt 0.862769 0.925224 +vt 0.862915 0.924089 +vt 0.870289 0.963784 +vt 0.870812 0.964390 +vt 0.869788 0.963163 +vt 0.869316 0.962551 +vt 0.872721 0.939052 +vt 0.872975 0.939566 +vt 0.872172 0.937703 +vt 0.871788 0.936438 +vt 0.854833 0.932995 +vt 0.855603 0.931523 +vt 0.856680 0.932193 +vt 0.855986 0.933664 +vt 0.853624 0.932076 +vt 0.854467 0.930669 +vt 0.871100 0.926462 +vt 0.858140 0.938530 +vt 0.860049 0.939037 +vt 0.860232 0.937946 +vt 0.858341 0.937459 +vt 0.871025 0.923101 +vt 0.871108 0.922097 +vt 0.855276 0.929145 +vt 0.856323 0.929899 +vt 0.857848 0.932662 +vt 0.866224 0.933455 +vt 0.867210 0.933159 +vt 0.868331 0.932856 +vt 0.869327 0.932583 +vt 0.870218 0.930658 +vt 0.871166 0.930634 +vt 0.851946 0.926135 +vt 0.852671 0.926813 +vt 0.853444 0.927617 +vt 0.854352 0.928514 +vt 0.853433 0.929887 +vt 0.852504 0.931171 +vt 0.869396 0.934273 +vt 0.868399 0.934565 +vt 0.867339 0.934985 +vt 0.866287 0.935391 +vt 0.853559 0.977488 +vt 0.852244 0.977525 +vt 0.864938 0.913889 +vt 0.864466 0.915850 +vt 0.863530 0.915592 +vt 0.864082 0.913688 +vt 0.857342 0.934288 +vt 0.847076 0.964653 +vt 0.848484 0.964455 +vt 0.848697 0.965442 +vt 0.847243 0.965600 +vt 0.849703 0.963126 +vt 0.848288 0.963367 +vt 0.850959 0.977850 +vt 0.850221 0.976043 +vt 0.850115 0.978377 +vt 0.849279 0.976739 +vt 0.868891 0.961972 +vt 0.868534 0.961439 +vt 0.854219 0.983992 +vt 0.853361 0.984565 +vt 0.848069 0.975152 +vt 0.863126 0.917237 +vt 0.864102 0.917498 +vt 0.863822 0.918878 +vt 0.862789 0.918660 +vt 0.854467 0.968219 +vt 0.856416 0.967755 +vt 0.852742 0.968508 +vt 0.851142 0.968606 +vt 0.867992 0.960502 +vt 0.868244 0.960952 +vt 0.846248 0.969087 +vt 0.847861 0.968995 +vt 0.851646 0.983089 +vt 0.867749 0.960040 +vt 0.845894 0.964713 +vt 0.845975 0.965661 +vt 0.851275 0.963942 +vt 0.853242 0.964421 +vt 0.851589 0.964777 +vt 0.865771 0.960229 +vt 0.864774 0.960568 +vt 0.855332 0.963923 +vt 0.846928 0.963642 +vt 0.866678 0.959881 +vt 0.867490 0.959528 +vt 0.861152 0.962515 +vt 0.849909 0.964199 +vt 0.850187 0.965130 +vt 0.849515 0.968860 +vt 0.867202 0.958928 +vt 0.851185 0.962935 +vt 0.845841 0.963733 +vt 0.866875 0.958187 +vt 0.863114 0.923093 +vt 0.861963 0.922953 +vt 0.845699 0.949381 +vt 0.845669 0.951531 +vt 0.855556 0.964720 +vt 0.853525 0.965204 +vt 0.867091 0.968183 +vt 0.861756 0.923949 +vt 0.861504 0.925086 +vt 0.866529 0.957253 +vt 0.866205 0.956085 +vt 0.851867 0.965563 +vt 0.850416 0.965884 +vt 0.848869 0.966223 +vt 0.847365 0.966370 +vt 0.846012 0.966449 +vt 0.850275 0.986854 +vt 0.850696 0.987431 +vt 0.850103 0.987875 +vt 0.849638 0.987247 +vt 0.871410 0.963619 +vt 0.870915 0.963093 +vt 0.871483 0.962529 +vt 0.871942 0.963013 +vt 0.870433 0.962532 +vt 0.869971 0.961965 +vt 0.870552 0.961475 +vt 0.871009 0.962008 +vt 0.869555 0.961421 +vt 0.870142 0.960962 +vt 0.869208 0.960928 +vt 0.868925 0.960492 +vt 0.868679 0.960084 +vt 0.869269 0.959712 +vt 0.869517 0.960092 +vt 0.868441 0.959662 +vt 0.868188 0.959194 +vt 0.868770 0.958884 +vt 0.869027 0.959319 +vt 0.867905 0.958641 +vt 0.867586 0.957947 +vt 0.868183 0.957714 +vt 0.868490 0.958367 +vt 0.867248 0.957063 +vt 0.867866 0.956876 +vt 0.866936 0.955953 +vt 0.867583 0.955822 +vt 0.866721 0.954678 +vt 0.866653 0.953414 +vt 0.867341 0.953416 +vt 0.867397 0.954612 +vt 0.866718 0.952231 +vt 0.867393 0.952293 +vt 0.851230 0.947860 +vt 0.849652 0.947599 +vt 0.864148 0.945622 +vt 0.865082 0.945866 +vt 0.870512 0.942136 +vt 0.869622 0.942059 +vt 0.871260 0.941503 +vt 0.870869 0.941279 +vt 0.872053 0.941124 +vt 0.872261 0.941334 +vt 0.871604 0.941690 +vt 0.872819 0.940782 +vt 0.871845 0.940922 +vt 0.872707 0.940543 +vt 0.873590 0.940530 +vt 0.873689 0.940859 +vt 0.872951 0.941097 +vt 0.845026 0.933848 +vt 0.845137 0.934872 +vt 0.845357 0.936344 +vt 0.845453 0.934794 +vt 0.845890 0.936319 +vt 0.845513 0.937888 +vt 0.846272 0.938094 +vt 0.865887 0.946112 +vt 0.866646 0.946351 +vt 0.848125 0.947385 +vt 0.846845 0.947126 +vt 0.865903 0.953402 +vt 0.865977 0.954742 +vt 0.845754 0.946902 +vt 0.867388 0.946584 +vt 0.868229 0.946884 +vt 0.868475 0.946930 +vt 0.873528 0.940306 +vt 0.845282 0.933829 +vt 0.869799 0.960499 +vt 0.871043 0.942127 +vt 0.859513 0.933024 +vt 0.859026 0.934756 +vt 0.861263 0.926247 +vt 0.862566 0.926461 +vt 0.857554 0.926791 +vt 0.856594 0.926252 +vt 0.861189 0.933263 +vt 0.860804 0.935055 +vt 0.865748 0.983402 +vt 0.866050 0.982541 +vt 0.866497 0.986705 +vt 0.867501 0.986933 +vt 0.868728 0.987220 +vt 0.870123 0.987513 +vt 0.871709 0.987779 +vt 0.873155 0.987915 +vt 0.874920 0.988253 +vt 0.876330 0.988597 +vt 0.866472 0.981237 +vt 0.867271 0.980185 +vt 0.872146 0.975540 +vt 0.872799 0.976301 +vt 0.873595 0.977242 +vt 0.874514 0.978292 +vt 0.875665 0.979377 +vt 0.876818 0.980220 +vt 0.878289 0.981239 +vt 0.879454 0.982097 +vt 0.858364 0.985039 +vt 0.857591 0.984830 +vt 0.856882 0.984796 +vt 0.856035 0.984688 +vt 0.855298 0.984796 +vt 0.854544 0.985180 +vt 0.853717 0.985760 +vt 0.852852 0.986430 +vt 0.851949 0.987285 +vt 0.851197 0.987970 +vt 0.850562 0.988515 +vt 0.867985 0.978703 +vt 0.870231 0.927682 +vt 0.854369 0.924421 +vt 0.853773 0.923930 +vt 0.855826 0.925743 +vt 0.855035 0.925045 +vt 0.871210 0.927712 +vt 0.849170 0.986647 +vt 0.849698 0.986238 +vt 0.850817 0.983142 +vt 0.850693 0.982118 +vt 0.850324 0.985507 +vt 0.850741 0.984398 +vt 0.848630 0.985998 +vt 0.849080 0.985590 +vt 0.849890 0.982934 +vt 0.849765 0.982110 +vt 0.849594 0.984836 +vt 0.849883 0.983840 +vt 0.848027 0.985353 +vt 0.848436 0.984950 +vt 0.848959 0.982677 +vt 0.848928 0.982017 +vt 0.848859 0.984252 +vt 0.848986 0.983387 +vt 0.847443 0.984737 +vt 0.847762 0.984360 +vt 0.848253 0.982449 +vt 0.848194 0.981899 +vt 0.848112 0.983726 +vt 0.848233 0.982992 +vt 0.846900 0.984249 +vt 0.847272 0.983910 +vt 0.847850 0.982256 +vt 0.847766 0.981868 +vt 0.847596 0.983433 +vt 0.847822 0.982862 +vt 0.847475 0.976740 +vt 0.846089 0.976308 +vt 0.849270 0.978736 +vt 0.848421 0.977629 +vt 0.846947 0.977723 +vt 0.845828 0.977413 +vt 0.848589 0.979130 +vt 0.847954 0.978389 +vt 0.847976 0.979559 +vt 0.847453 0.979020 +vt 0.846583 0.978559 +vt 0.845679 0.978337 +vt 0.846324 0.979269 +vt 0.845571 0.979024 +vt 0.847502 0.980085 +vt 0.847025 0.979665 +vt 0.846722 0.980113 +vt 0.846155 0.979718 +vt 0.845491 0.979511 +vt 0.847118 0.980520 +vt 0.850459 0.981332 +vt 0.850175 0.980541 +vt 0.849749 0.979628 +vt 0.849570 0.981399 +vt 0.849235 0.980630 +vt 0.848999 0.979886 +vt 0.848835 0.981452 +vt 0.848656 0.980839 +vt 0.848411 0.980172 +vt 0.848148 0.981507 +vt 0.848060 0.981070 +vt 0.847863 0.980643 +vt 0.847682 0.981549 +vt 0.847537 0.981239 +vt 0.847371 0.980927 +vt 0.866137 0.912409 +vt 0.860951 0.910938 +vt 0.871045 0.912971 +vt 0.966696 0.980104 +vt 0.966696 0.979746 +vt 0.967054 0.979746 +vt 0.967054 0.980104 +vt 0.966696 0.979328 +vt 0.967054 0.979328 +vt 0.966696 0.978970 +vt 0.967054 0.978970 +vt 0.966696 0.978612 +vt 0.967054 0.978612 +vt 0.967412 0.979746 +vt 0.967412 0.980104 +vt 0.966219 0.980104 +vt 0.966219 0.979746 +vt 0.961088 0.980104 +vt 0.961088 0.979746 +vt 0.961505 0.979746 +vt 0.961505 0.980104 +vt 0.961088 0.979328 +vt 0.961505 0.979328 +vt 0.961088 0.978970 +vt 0.961505 0.978970 +vt 0.961088 0.978612 +vt 0.961505 0.978612 +vt 0.961863 0.979746 +vt 0.961863 0.980104 +vt 0.960670 0.980104 +vt 0.960670 0.979746 +vt 0.963892 0.954925 +vt 0.963892 0.954507 +vt 0.964250 0.954507 +vt 0.964250 0.954925 +vt 0.963892 0.954149 +vt 0.964250 0.954149 +vt 0.963892 0.953732 +vt 0.964250 0.953732 +vt 0.963892 0.953374 +vt 0.964250 0.953374 +vt 0.964608 0.954507 +vt 0.964608 0.954925 +vt 0.963474 0.954925 +vt 0.963474 0.954507 +vt 0.963892 0.957013 +vt 0.963892 0.956596 +vt 0.964250 0.956596 +vt 0.964250 0.957013 +vt 0.963892 0.956238 +vt 0.964250 0.956238 +vt 0.963892 0.955820 +vt 0.964250 0.955820 +vt 0.963892 0.955462 +vt 0.964250 0.955462 +vt 0.964608 0.956596 +vt 0.964608 0.957013 +vt 0.963474 0.957013 +vt 0.963474 0.956596 +vt 0.963892 0.959102 +vt 0.963892 0.958684 +vt 0.964250 0.958684 +vt 0.964250 0.959102 +vt 0.963892 0.958326 +vt 0.964250 0.958326 +vt 0.963892 0.957908 +vt 0.964250 0.957908 +vt 0.963892 0.957550 +vt 0.964250 0.957550 +vt 0.964608 0.958684 +vt 0.964608 0.959102 +vt 0.963474 0.959102 +vt 0.963474 0.958684 +vt 0.963892 0.961190 +vt 0.963892 0.960772 +vt 0.964250 0.960772 +vt 0.964250 0.961190 +vt 0.963892 0.960414 +vt 0.964250 0.960414 +vt 0.963892 0.959997 +vt 0.964250 0.959997 +vt 0.963892 0.959639 +vt 0.964250 0.959639 +vt 0.964608 0.960772 +vt 0.964608 0.961190 +vt 0.963474 0.961190 +vt 0.963474 0.960772 +vt 0.963892 0.963278 +vt 0.963892 0.962861 +vt 0.964250 0.962861 +vt 0.964250 0.963278 +vt 0.963892 0.962503 +vt 0.964250 0.962503 +vt 0.963892 0.962085 +vt 0.964250 0.962085 +vt 0.963892 0.961727 +vt 0.964250 0.961727 +vt 0.964608 0.962861 +vt 0.964608 0.963278 +vt 0.963474 0.963278 +vt 0.963474 0.962861 +vt 0.970813 0.912861 +vt 0.970813 0.912443 +vt 0.971231 0.912443 +vt 0.971231 0.912861 +vt 0.970813 0.912085 +vt 0.971231 0.912085 +vt 0.970813 0.911667 +vt 0.971231 0.911667 +vt 0.970813 0.911309 +vt 0.971231 0.911309 +vt 0.971589 0.912443 +vt 0.971589 0.912861 +vt 0.970395 0.912861 +vt 0.970395 0.912443 +vt 0.970813 0.926405 +vt 0.970813 0.925987 +vt 0.971231 0.925987 +vt 0.971231 0.926405 +vt 0.970813 0.925629 +vt 0.971231 0.925629 +vt 0.970813 0.925212 +vt 0.971231 0.925212 +vt 0.970813 0.924854 +vt 0.971231 0.924854 +vt 0.971589 0.925987 +vt 0.971589 0.926405 +vt 0.970395 0.926405 +vt 0.970395 0.925987 +vt 0.977794 0.918410 +vt 0.977794 0.917992 +vt 0.978152 0.917992 +vt 0.978152 0.918410 +vt 0.977794 0.917634 +vt 0.978152 0.917634 +vt 0.977794 0.917216 +vt 0.978152 0.917216 +vt 0.977794 0.916858 +vt 0.978152 0.916858 +vt 0.978510 0.917992 +vt 0.978510 0.918410 +vt 0.977376 0.918410 +vt 0.977376 0.917992 +vt 0.977794 0.915605 +vt 0.977794 0.915247 +vt 0.978152 0.915247 +vt 0.978152 0.915605 +vt 0.977794 0.914830 +vt 0.978152 0.914830 +vt 0.977794 0.914472 +vt 0.978152 0.914472 +vt 0.977794 0.914114 +vt 0.978152 0.914114 +vt 0.978510 0.915247 +vt 0.978510 0.915605 +vt 0.977376 0.915605 +vt 0.977376 0.915247 +vt 0.974990 0.918410 +vt 0.974990 0.917992 +vt 0.975407 0.917992 +vt 0.975407 0.918410 +vt 0.974990 0.917634 +vt 0.975407 0.917634 +vt 0.974990 0.917216 +vt 0.975407 0.917216 +vt 0.974990 0.916858 +vt 0.975407 0.916858 +vt 0.975765 0.917992 +vt 0.975765 0.918410 +vt 0.974572 0.918410 +vt 0.974572 0.917992 +vt 0.974990 0.915605 +vt 0.974990 0.915247 +vt 0.975407 0.915247 +vt 0.975407 0.915605 +vt 0.974990 0.914830 +vt 0.975407 0.914830 +vt 0.974990 0.914472 +vt 0.975407 0.914472 +vt 0.974990 0.914114 +vt 0.975407 0.914114 +vt 0.975765 0.915247 +vt 0.975765 0.915605 +vt 0.974572 0.915605 +vt 0.974572 0.915247 +vt 0.972245 0.918410 +vt 0.972245 0.917992 +vt 0.972603 0.917992 +vt 0.972603 0.918410 +vt 0.972245 0.917634 +vt 0.972603 0.917634 +vt 0.972245 0.917216 +vt 0.972603 0.917216 +vt 0.972245 0.916858 +vt 0.972603 0.916858 +vt 0.972961 0.917992 +vt 0.972961 0.918410 +vt 0.971827 0.918410 +vt 0.971827 0.917992 +vt 0.972245 0.915605 +vt 0.972245 0.915247 +vt 0.972603 0.915247 +vt 0.972603 0.915605 +vt 0.972245 0.914830 +vt 0.972603 0.914830 +vt 0.972245 0.914472 +vt 0.972603 0.914472 +vt 0.972245 0.914114 +vt 0.972603 0.914114 +vt 0.972961 0.915247 +vt 0.972961 0.915605 +vt 0.971827 0.915605 +vt 0.971827 0.915247 +vt 0.969441 0.915605 +vt 0.969441 0.915247 +vt 0.969799 0.915247 +vt 0.969799 0.915605 +vt 0.969441 0.914830 +vt 0.969799 0.914830 +vt 0.969441 0.914472 +vt 0.969799 0.914472 +vt 0.969441 0.914114 +vt 0.969799 0.914114 +vt 0.970157 0.915247 +vt 0.970157 0.915605 +vt 0.969023 0.915605 +vt 0.969023 0.915247 +vt 0.969441 0.918410 +vt 0.969441 0.917992 +vt 0.969799 0.917992 +vt 0.969799 0.918410 +vt 0.969441 0.917634 +vt 0.969799 0.917634 +vt 0.969441 0.917216 +vt 0.969799 0.917216 +vt 0.969441 0.916858 +vt 0.969799 0.916858 +vt 0.970157 0.917992 +vt 0.970157 0.918410 +vt 0.969023 0.918410 +vt 0.969023 0.917992 +vt 0.969441 0.921214 +vt 0.969441 0.920796 +vt 0.969799 0.920796 +vt 0.969799 0.921214 +vt 0.969441 0.920438 +vt 0.969799 0.920438 +vt 0.969441 0.920021 +vt 0.969799 0.920021 +vt 0.969441 0.919663 +vt 0.969799 0.919663 +vt 0.970157 0.920796 +vt 0.970157 0.921214 +vt 0.969023 0.921214 +vt 0.969023 0.920796 +vt 0.972245 0.921214 +vt 0.972245 0.920796 +vt 0.972603 0.920796 +vt 0.972603 0.921214 +vt 0.972245 0.920438 +vt 0.972603 0.920438 +vt 0.972245 0.920021 +vt 0.972603 0.920021 +vt 0.972245 0.919663 +vt 0.972603 0.919663 +vt 0.972961 0.920796 +vt 0.972961 0.921214 +vt 0.971827 0.921214 +vt 0.971827 0.920796 +vt 0.974990 0.921214 +vt 0.974990 0.920796 +vt 0.975407 0.920796 +vt 0.975407 0.921214 +vt 0.974990 0.920438 +vt 0.975407 0.920438 +vt 0.974990 0.920021 +vt 0.975407 0.920021 +vt 0.974990 0.919663 +vt 0.975407 0.919663 +vt 0.975765 0.920796 +vt 0.975765 0.921214 +vt 0.974572 0.921214 +vt 0.974572 0.920796 +vt 0.977794 0.921214 +vt 0.977794 0.920796 +vt 0.978152 0.920796 +vt 0.978152 0.921214 +vt 0.977794 0.920438 +vt 0.978152 0.920438 +vt 0.977794 0.920021 +vt 0.978152 0.920021 +vt 0.977794 0.919663 +vt 0.978152 0.919663 +vt 0.978510 0.920796 +vt 0.978510 0.921214 +vt 0.977376 0.921214 +vt 0.977376 0.920796 +vt 0.976422 0.923959 +vt 0.976422 0.923601 +vt 0.976780 0.923601 +vt 0.976780 0.923959 +vt 0.976422 0.923183 +vt 0.976780 0.923183 +vt 0.976422 0.922825 +vt 0.976780 0.922825 +vt 0.976422 0.922467 +vt 0.976780 0.922467 +vt 0.977138 0.923601 +vt 0.977138 0.923959 +vt 0.976004 0.923959 +vt 0.976004 0.923601 +vt 0.973617 0.923959 +vt 0.973617 0.923601 +vt 0.973975 0.923601 +vt 0.973975 0.923959 +vt 0.973617 0.923183 +vt 0.973975 0.923183 +vt 0.973617 0.922825 +vt 0.973975 0.922825 +vt 0.973617 0.922467 +vt 0.973975 0.922467 +vt 0.974333 0.923601 +vt 0.974333 0.923959 +vt 0.973200 0.923959 +vt 0.973200 0.923601 +vt 0.970813 0.923959 +vt 0.970813 0.923601 +vt 0.971231 0.923601 +vt 0.971231 0.923959 +vt 0.970813 0.923183 +vt 0.971231 0.923183 +vt 0.970813 0.922825 +vt 0.971231 0.922825 +vt 0.970813 0.922467 +vt 0.971231 0.922467 +vt 0.971589 0.923601 +vt 0.971589 0.923959 +vt 0.970395 0.923959 +vt 0.970395 0.923601 +vt 0.968068 0.923959 +vt 0.968068 0.923601 +vt 0.968426 0.923601 +vt 0.968426 0.923959 +vt 0.968068 0.923183 +vt 0.968426 0.923183 +vt 0.968068 0.922825 +vt 0.968426 0.922825 +vt 0.968068 0.922467 +vt 0.968426 0.922467 +vt 0.968784 0.923601 +vt 0.968784 0.923959 +vt 0.967651 0.923959 +vt 0.967651 0.923601 +vt 0.966696 0.915605 +vt 0.966696 0.915247 +vt 0.967054 0.915247 +vt 0.967054 0.915605 +vt 0.966696 0.914830 +vt 0.967054 0.914830 +vt 0.966696 0.914472 +vt 0.967054 0.914472 +vt 0.966696 0.914114 +vt 0.967054 0.914114 +vt 0.967412 0.915247 +vt 0.967412 0.915605 +vt 0.966219 0.915605 +vt 0.966219 0.915247 +vt 0.966696 0.918410 +vt 0.966696 0.917992 +vt 0.967054 0.917992 +vt 0.967054 0.918410 +vt 0.966696 0.917634 +vt 0.967054 0.917634 +vt 0.966696 0.917216 +vt 0.967054 0.917216 +vt 0.966696 0.916858 +vt 0.967054 0.916858 +vt 0.967412 0.917992 +vt 0.967412 0.918410 +vt 0.966219 0.918410 +vt 0.966219 0.917992 +vt 0.966696 0.921214 +vt 0.966696 0.920796 +vt 0.967054 0.920796 +vt 0.967054 0.921214 +vt 0.966696 0.920438 +vt 0.967054 0.920438 +vt 0.966696 0.920021 +vt 0.967054 0.920021 +vt 0.966696 0.919663 +vt 0.967054 0.919663 +vt 0.967412 0.920796 +vt 0.967412 0.921214 +vt 0.966219 0.921214 +vt 0.966219 0.920796 +vt 0.970813 0.939651 +vt 0.970813 0.939233 +vt 0.971231 0.939233 +vt 0.971231 0.939651 +vt 0.970813 0.938815 +vt 0.971231 0.938815 +vt 0.970813 0.938457 +vt 0.971231 0.938457 +vt 0.970813 0.938099 +vt 0.971231 0.938099 +vt 0.971589 0.939233 +vt 0.971589 0.939651 +vt 0.970395 0.939651 +vt 0.970395 0.939233 +vt 0.970813 0.946572 +vt 0.970813 0.946154 +vt 0.971231 0.946154 +vt 0.971231 0.946572 +vt 0.970813 0.945796 +vt 0.971231 0.945796 +vt 0.970813 0.945379 +vt 0.971231 0.945379 +vt 0.970813 0.945021 +vt 0.971231 0.945021 +vt 0.971589 0.946154 +vt 0.971589 0.946572 +vt 0.970395 0.946572 +vt 0.970395 0.946154 +vt 0.970813 0.952837 +vt 0.970813 0.952419 +vt 0.971231 0.952419 +vt 0.971231 0.952837 +vt 0.970813 0.952061 +vt 0.971231 0.952061 +vt 0.970813 0.951643 +vt 0.971231 0.951643 +vt 0.970813 0.951285 +vt 0.971231 0.951285 +vt 0.971589 0.952419 +vt 0.971589 0.952837 +vt 0.970395 0.952837 +vt 0.970395 0.952419 +vt 0.989309 0.957789 +vt 0.989727 0.957789 +vt 0.989727 0.958147 +vt 0.989309 0.958147 +vt 0.990085 0.957789 +vt 0.990085 0.958147 +vt 0.990503 0.957789 +vt 0.990503 0.958147 +vt 0.990861 0.957789 +vt 0.990861 0.958147 +vt 0.989727 0.958505 +vt 0.989309 0.958505 +vt 0.989309 0.957312 +vt 0.989727 0.957312 +vt 0.989309 0.960534 +vt 0.989727 0.960534 +vt 0.989727 0.960892 +vt 0.989309 0.960892 +vt 0.990085 0.960534 +vt 0.990085 0.960892 +vt 0.990503 0.960534 +vt 0.990503 0.960892 +vt 0.990861 0.960534 +vt 0.990861 0.960892 +vt 0.989727 0.961250 +vt 0.989309 0.961250 +vt 0.989309 0.960116 +vt 0.989727 0.960116 +vt 0.989309 0.963338 +vt 0.989727 0.963338 +vt 0.989727 0.963696 +vt 0.989309 0.963696 +vt 0.990085 0.963338 +vt 0.990085 0.963696 +vt 0.990503 0.963338 +vt 0.990503 0.963696 +vt 0.990861 0.963338 +vt 0.990861 0.963696 +vt 0.989727 0.964054 +vt 0.989309 0.964054 +vt 0.989309 0.962920 +vt 0.989727 0.962920 +vt 0.989309 0.966083 +vt 0.989727 0.966083 +vt 0.989727 0.966500 +vt 0.989309 0.966500 +vt 0.990085 0.966083 +vt 0.990085 0.966500 +vt 0.990503 0.966083 +vt 0.990503 0.966500 +vt 0.990861 0.966083 +vt 0.990861 0.966500 +vt 0.989727 0.966858 +vt 0.989309 0.966858 +vt 0.989309 0.965665 +vt 0.989727 0.965665 +vt 0.987221 0.966083 +vt 0.987639 0.966083 +vt 0.987639 0.966500 +vt 0.987221 0.966500 +vt 0.987997 0.966083 +vt 0.987997 0.966500 +vt 0.988414 0.966083 +vt 0.988414 0.966500 +vt 0.988772 0.966083 +vt 0.988772 0.966500 +vt 0.987639 0.966858 +vt 0.987221 0.966858 +vt 0.987221 0.965665 +vt 0.987639 0.965665 +vt 0.987221 0.963338 +vt 0.987639 0.963338 +vt 0.987639 0.963696 +vt 0.987221 0.963696 +vt 0.987997 0.963338 +vt 0.987997 0.963696 +vt 0.988414 0.963338 +vt 0.988414 0.963696 +vt 0.988772 0.963338 +vt 0.988772 0.963696 +vt 0.987639 0.964054 +vt 0.987221 0.964054 +vt 0.987221 0.962920 +vt 0.987639 0.962920 +vt 0.987221 0.960534 +vt 0.987639 0.960534 +vt 0.987639 0.960892 +vt 0.987221 0.960892 +vt 0.987997 0.960534 +vt 0.987997 0.960892 +vt 0.988414 0.960534 +vt 0.988414 0.960892 +vt 0.988772 0.960534 +vt 0.988772 0.960892 +vt 0.987639 0.961250 +vt 0.987221 0.961250 +vt 0.987221 0.960116 +vt 0.987639 0.960116 +vt 0.987221 0.957789 +vt 0.987639 0.957789 +vt 0.987639 0.958147 +vt 0.987221 0.958147 +vt 0.987997 0.957789 +vt 0.987997 0.958147 +vt 0.988414 0.957789 +vt 0.988414 0.958147 +vt 0.988772 0.957789 +vt 0.988772 0.958147 +vt 0.987639 0.958505 +vt 0.987221 0.958505 +vt 0.987221 0.957312 +vt 0.987639 0.957312 +vt 0.985133 0.957789 +vt 0.985551 0.957789 +vt 0.985551 0.958147 +vt 0.985133 0.958147 +vt 0.985909 0.957789 +vt 0.985909 0.958147 +vt 0.986326 0.957789 +vt 0.986326 0.958147 +vt 0.986684 0.957789 +vt 0.986684 0.958147 +vt 0.985551 0.958505 +vt 0.985133 0.958505 +vt 0.985133 0.957312 +vt 0.985551 0.957312 +vt 0.985133 0.960534 +vt 0.985551 0.960534 +vt 0.985551 0.960892 +vt 0.985133 0.960892 +vt 0.985909 0.960534 +vt 0.985909 0.960892 +vt 0.986326 0.960534 +vt 0.986326 0.960892 +vt 0.986684 0.960534 +vt 0.986684 0.960892 +vt 0.985551 0.961250 +vt 0.985133 0.961250 +vt 0.985133 0.960116 +vt 0.985551 0.960116 +vt 0.985133 0.963338 +vt 0.985551 0.963338 +vt 0.985551 0.963696 +vt 0.985133 0.963696 +vt 0.985909 0.963338 +vt 0.985909 0.963696 +vt 0.986326 0.963338 +vt 0.986326 0.963696 +vt 0.986684 0.963338 +vt 0.986684 0.963696 +vt 0.985551 0.964054 +vt 0.985133 0.964054 +vt 0.985133 0.962920 +vt 0.985551 0.962920 +vt 0.985133 0.966083 +vt 0.985551 0.966083 +vt 0.985551 0.966500 +vt 0.985133 0.966500 +vt 0.985909 0.966083 +vt 0.985909 0.966500 +vt 0.986326 0.966083 +vt 0.986326 0.966500 +vt 0.986684 0.966083 +vt 0.986684 0.966500 +vt 0.985551 0.966858 +vt 0.985133 0.966858 +vt 0.985133 0.965665 +vt 0.985551 0.965665 +vt 0.983045 0.966083 +vt 0.983462 0.966083 +vt 0.983462 0.966500 +vt 0.983045 0.966500 +vt 0.983820 0.966083 +vt 0.983820 0.966500 +vt 0.984238 0.966083 +vt 0.984238 0.966500 +vt 0.984596 0.966083 +vt 0.984596 0.966500 +vt 0.983462 0.966858 +vt 0.983045 0.966858 +vt 0.983045 0.965665 +vt 0.983462 0.965665 +vt 0.983045 0.963338 +vt 0.983462 0.963338 +vt 0.983462 0.963696 +vt 0.983045 0.963696 +vt 0.983820 0.963338 +vt 0.983820 0.963696 +vt 0.984238 0.963338 +vt 0.984238 0.963696 +vt 0.984596 0.963338 +vt 0.984596 0.963696 +vt 0.983462 0.964054 +vt 0.983045 0.964054 +vt 0.983045 0.962920 +vt 0.983462 0.962920 +vt 0.983045 0.960534 +vt 0.983462 0.960534 +vt 0.983462 0.960892 +vt 0.983045 0.960892 +vt 0.983820 0.960534 +vt 0.983820 0.960892 +vt 0.984238 0.960534 +vt 0.984238 0.960892 +vt 0.984596 0.960534 +vt 0.984596 0.960892 +vt 0.983462 0.961250 +vt 0.983045 0.961250 +vt 0.983045 0.960116 +vt 0.983462 0.960116 +vt 0.983045 0.957789 +vt 0.983462 0.957789 +vt 0.983462 0.958147 +vt 0.983045 0.958147 +vt 0.983820 0.957789 +vt 0.983820 0.958147 +vt 0.984238 0.957789 +vt 0.984238 0.958147 +vt 0.984596 0.957789 +vt 0.984596 0.958147 +vt 0.983462 0.958505 +vt 0.983045 0.958505 +vt 0.983045 0.957312 +vt 0.983462 0.957312 +vt 0.987221 0.955641 +vt 0.987639 0.955641 +vt 0.987639 0.955999 +vt 0.987221 0.955999 +vt 0.987997 0.955641 +vt 0.987997 0.955999 +vt 0.988414 0.955641 +vt 0.988414 0.955999 +vt 0.988772 0.955641 +vt 0.988772 0.955999 +vt 0.987639 0.956357 +vt 0.987221 0.956357 +vt 0.987221 0.955223 +vt 0.987639 0.955223 +vt 0.985133 0.955641 +vt 0.985551 0.955641 +vt 0.985551 0.955999 +vt 0.985133 0.955999 +vt 0.985909 0.955641 +vt 0.985909 0.955999 +vt 0.986326 0.955641 +vt 0.986326 0.955999 +vt 0.986684 0.955641 +vt 0.986684 0.955999 +vt 0.985551 0.956357 +vt 0.985133 0.956357 +vt 0.985133 0.955223 +vt 0.985551 0.955223 +vt 0.983045 0.955641 +vt 0.983462 0.955641 +vt 0.983462 0.955999 +vt 0.983045 0.955999 +vt 0.983820 0.955641 +vt 0.983820 0.955999 +vt 0.984238 0.955641 +vt 0.984238 0.955999 +vt 0.984596 0.955641 +vt 0.984596 0.955999 +vt 0.983462 0.956357 +vt 0.983045 0.956357 +vt 0.983045 0.955223 +vt 0.983462 0.955223 +vt 0.981672 0.959161 +vt 0.982090 0.959161 +vt 0.982090 0.959519 +vt 0.981672 0.959519 +vt 0.982448 0.959161 +vt 0.982448 0.959519 +vt 0.982866 0.959161 +vt 0.982866 0.959519 +vt 0.983223 0.959161 +vt 0.983223 0.959519 +vt 0.982090 0.959877 +vt 0.981672 0.959877 +vt 0.981672 0.958744 +vt 0.982090 0.958744 +vt 0.981672 0.961906 +vt 0.982090 0.961906 +vt 0.982090 0.962324 +vt 0.981672 0.962324 +vt 0.982448 0.961906 +vt 0.982448 0.962324 +vt 0.982866 0.961906 +vt 0.982866 0.962324 +vt 0.983223 0.961906 +vt 0.983223 0.962324 +vt 0.982090 0.962682 +vt 0.981672 0.962682 +vt 0.981672 0.961488 +vt 0.982090 0.961488 +vt 0.981672 0.964710 +vt 0.982090 0.964710 +vt 0.982090 0.965068 +vt 0.981672 0.965068 +vt 0.982448 0.964710 +vt 0.982448 0.965068 +vt 0.982866 0.964710 +vt 0.982866 0.965068 +vt 0.983223 0.964710 +vt 0.983223 0.965068 +vt 0.982090 0.965426 +vt 0.981672 0.965426 +vt 0.981672 0.964293 +vt 0.982090 0.964293 +vt 0.978868 0.961906 +vt 0.979286 0.961906 +vt 0.979286 0.962324 +vt 0.978868 0.962324 +vt 0.979703 0.961906 +vt 0.979703 0.962324 +vt 0.980061 0.961906 +vt 0.980061 0.962324 +vt 0.980419 0.961906 +vt 0.980419 0.962324 +vt 0.979286 0.962682 +vt 0.978868 0.962682 +vt 0.978868 0.961488 +vt 0.979286 0.961488 +vt 0.969441 0.961190 +vt 0.969441 0.960772 +vt 0.969799 0.960772 +vt 0.969799 0.961190 +vt 0.969441 0.960414 +vt 0.969799 0.960414 +vt 0.969441 0.959997 +vt 0.969799 0.959997 +vt 0.969441 0.959639 +vt 0.969799 0.959639 +vt 0.970157 0.960772 +vt 0.970157 0.961190 +vt 0.969023 0.961190 +vt 0.969023 0.960772 +vt 0.969441 0.965367 +vt 0.969441 0.964949 +vt 0.969799 0.964949 +vt 0.969799 0.965367 +vt 0.969441 0.964591 +vt 0.969799 0.964591 +vt 0.969441 0.964173 +vt 0.969799 0.964173 +vt 0.969441 0.963815 +vt 0.969799 0.963815 +vt 0.970157 0.964949 +vt 0.970157 0.965367 +vt 0.969023 0.965367 +vt 0.969023 0.964949 +vt 0.965264 0.963935 +vt 0.965264 0.963577 +vt 0.965622 0.963577 +vt 0.965622 0.963935 +vt 0.965264 0.963159 +vt 0.965622 0.963159 +vt 0.965264 0.962801 +vt 0.965622 0.962801 +vt 0.965264 0.962443 +vt 0.965622 0.962443 +vt 0.966040 0.963577 +vt 0.966040 0.963935 +vt 0.964847 0.963935 +vt 0.964847 0.963577 +vt 0.968068 0.965367 +vt 0.968068 0.964949 +vt 0.968426 0.964949 +vt 0.968426 0.965367 +vt 0.968068 0.964591 +vt 0.968426 0.964591 +vt 0.968068 0.964173 +vt 0.968426 0.964173 +vt 0.968068 0.963815 +vt 0.968426 0.963815 +vt 0.968784 0.964949 +vt 0.968784 0.965367 +vt 0.967651 0.965367 +vt 0.967651 0.964949 +vt 0.965264 0.975927 +vt 0.965264 0.975569 +vt 0.965622 0.975569 +vt 0.965622 0.975927 +vt 0.965264 0.975152 +vt 0.965622 0.975152 +vt 0.965264 0.974794 +vt 0.965622 0.974794 +vt 0.965264 0.974436 +vt 0.965622 0.974436 +vt 0.966040 0.975569 +vt 0.966040 0.975927 +vt 0.964847 0.975927 +vt 0.964847 0.975569 +vt 0.965264 0.978732 +vt 0.965264 0.978314 +vt 0.965682 0.978314 +vt 0.965682 0.978732 +vt 0.965264 0.977956 +vt 0.965682 0.977956 +vt 0.965264 0.977538 +vt 0.965682 0.977538 +vt 0.965264 0.977180 +vt 0.965682 0.977180 +vt 0.966040 0.978314 +vt 0.966040 0.978732 +vt 0.964847 0.978732 +vt 0.964847 0.978314 +vt 0.965264 0.980820 +vt 0.965264 0.980402 +vt 0.965682 0.980402 +vt 0.965682 0.980820 +vt 0.965264 0.980044 +vt 0.965682 0.980044 +vt 0.965264 0.979627 +vt 0.965682 0.979627 +vt 0.965264 0.979269 +vt 0.965682 0.979269 +vt 0.966040 0.980402 +vt 0.966040 0.980820 +vt 0.964847 0.980820 +vt 0.964847 0.980402 +vt 0.965264 0.982908 +vt 0.965264 0.982491 +vt 0.965682 0.982491 +vt 0.965682 0.982908 +vt 0.965264 0.982133 +vt 0.965682 0.982133 +vt 0.965264 0.981715 +vt 0.965682 0.981715 +vt 0.965264 0.981357 +vt 0.965682 0.981357 +vt 0.966040 0.982491 +vt 0.966040 0.982908 +vt 0.964847 0.982908 +vt 0.964847 0.982491 +vt 0.956911 0.912861 +vt 0.956911 0.912443 +vt 0.957329 0.912443 +vt 0.957329 0.912861 +vt 0.956911 0.912085 +vt 0.957329 0.912085 +vt 0.956911 0.911667 +vt 0.957329 0.911667 +vt 0.956911 0.911309 +vt 0.957329 0.911309 +vt 0.957687 0.912443 +vt 0.957687 0.912861 +vt 0.956493 0.912861 +vt 0.956493 0.912443 +vt 0.956255 0.926405 +vt 0.956255 0.925987 +vt 0.956613 0.925987 +vt 0.956613 0.926405 +vt 0.956255 0.925629 +vt 0.956613 0.925629 +vt 0.956255 0.925212 +vt 0.956613 0.925212 +vt 0.956255 0.924854 +vt 0.956613 0.924854 +vt 0.956971 0.925987 +vt 0.956971 0.926405 +vt 0.955837 0.926405 +vt 0.955837 0.925987 +vt 0.949990 0.918410 +vt 0.949990 0.917992 +vt 0.950348 0.917992 +vt 0.950348 0.918410 +vt 0.949990 0.917634 +vt 0.950348 0.917634 +vt 0.949990 0.917216 +vt 0.950348 0.917216 +vt 0.949990 0.916858 +vt 0.950348 0.916858 +vt 0.950706 0.917992 +vt 0.950706 0.918410 +vt 0.949572 0.918410 +vt 0.949572 0.917992 +vt 0.949990 0.915605 +vt 0.949990 0.915247 +vt 0.950348 0.915247 +vt 0.950348 0.915605 +vt 0.949990 0.914830 +vt 0.950348 0.914830 +vt 0.949990 0.914472 +vt 0.950348 0.914472 +vt 0.949990 0.914114 +vt 0.950348 0.914114 +vt 0.950706 0.915247 +vt 0.950706 0.915605 +vt 0.949572 0.915605 +vt 0.949572 0.915247 +vt 0.952734 0.918410 +vt 0.952734 0.917992 +vt 0.953152 0.917992 +vt 0.953152 0.918410 +vt 0.952734 0.917634 +vt 0.953152 0.917634 +vt 0.952734 0.917216 +vt 0.953152 0.917216 +vt 0.952734 0.916858 +vt 0.953152 0.916858 +vt 0.953510 0.917992 +vt 0.953510 0.918410 +vt 0.952317 0.918410 +vt 0.952317 0.917992 +vt 0.952734 0.915605 +vt 0.952734 0.915247 +vt 0.953152 0.915247 +vt 0.953152 0.915605 +vt 0.952734 0.914830 +vt 0.953152 0.914830 +vt 0.952734 0.914472 +vt 0.953152 0.914472 +vt 0.952734 0.914114 +vt 0.953152 0.914114 +vt 0.953510 0.915247 +vt 0.953510 0.915605 +vt 0.952317 0.915605 +vt 0.952317 0.915247 +vt 0.954166 0.918410 +vt 0.954166 0.917992 +vt 0.954524 0.917992 +vt 0.954524 0.918410 +vt 0.954166 0.917634 +vt 0.954524 0.917634 +vt 0.954166 0.917216 +vt 0.954524 0.917216 +vt 0.954166 0.916858 +vt 0.954524 0.916858 +vt 0.954882 0.917992 +vt 0.954882 0.918410 +vt 0.953749 0.918410 +vt 0.953749 0.917992 +vt 0.954166 0.915605 +vt 0.954166 0.915247 +vt 0.954524 0.915247 +vt 0.954524 0.915605 +vt 0.954166 0.914830 +vt 0.954524 0.914830 +vt 0.954166 0.914472 +vt 0.954524 0.914472 +vt 0.954166 0.914114 +vt 0.954524 0.914114 +vt 0.954882 0.915247 +vt 0.954882 0.915605 +vt 0.953749 0.915605 +vt 0.953749 0.915247 +vt 0.956911 0.915605 +vt 0.956911 0.915247 +vt 0.957329 0.915247 +vt 0.957329 0.915605 +vt 0.956911 0.914830 +vt 0.957329 0.914830 +vt 0.956911 0.914472 +vt 0.957329 0.914472 +vt 0.956911 0.914114 +vt 0.957329 0.914114 +vt 0.957687 0.915247 +vt 0.957687 0.915605 +vt 0.956493 0.915605 +vt 0.956493 0.915247 +vt 0.956911 0.918410 +vt 0.956911 0.917992 +vt 0.957329 0.917992 +vt 0.957329 0.918410 +vt 0.956911 0.917634 +vt 0.957329 0.917634 +vt 0.956911 0.917216 +vt 0.957329 0.917216 +vt 0.956911 0.916858 +vt 0.957329 0.916858 +vt 0.957687 0.917992 +vt 0.957687 0.918410 +vt 0.956493 0.918410 +vt 0.956493 0.917992 +vt 0.956911 0.921214 +vt 0.956911 0.920796 +vt 0.957329 0.920796 +vt 0.957329 0.921214 +vt 0.956911 0.920438 +vt 0.957329 0.920438 +vt 0.956911 0.920021 +vt 0.957329 0.920021 +vt 0.956911 0.919663 +vt 0.957329 0.919663 +vt 0.957687 0.920796 +vt 0.957687 0.921214 +vt 0.956493 0.921214 +vt 0.956493 0.920796 +vt 0.954166 0.921214 +vt 0.954166 0.920796 +vt 0.954524 0.920796 +vt 0.954524 0.921214 +vt 0.954166 0.920438 +vt 0.954524 0.920438 +vt 0.954166 0.920021 +vt 0.954524 0.920021 +vt 0.954166 0.919663 +vt 0.954524 0.919663 +vt 0.954882 0.920796 +vt 0.954882 0.921214 +vt 0.953749 0.921214 +vt 0.953749 0.920796 +vt 0.952734 0.921214 +vt 0.952734 0.920796 +vt 0.953152 0.920796 +vt 0.953152 0.921214 +vt 0.952734 0.920438 +vt 0.953152 0.920438 +vt 0.952734 0.920021 +vt 0.953152 0.920021 +vt 0.952734 0.919663 +vt 0.953152 0.919663 +vt 0.953510 0.920796 +vt 0.953510 0.921214 +vt 0.952317 0.921214 +vt 0.952317 0.920796 +vt 0.949990 0.921214 +vt 0.949990 0.920796 +vt 0.950348 0.920796 +vt 0.950348 0.921214 +vt 0.949990 0.920438 +vt 0.950348 0.920438 +vt 0.949990 0.920021 +vt 0.950348 0.920021 +vt 0.949990 0.919663 +vt 0.950348 0.919663 +vt 0.950706 0.920796 +vt 0.950706 0.921214 +vt 0.949572 0.921214 +vt 0.949572 0.920796 +vt 0.951362 0.923959 +vt 0.951362 0.923601 +vt 0.951720 0.923601 +vt 0.951720 0.923959 +vt 0.951362 0.923183 +vt 0.951720 0.923183 +vt 0.951362 0.922825 +vt 0.951720 0.922825 +vt 0.951362 0.922467 +vt 0.951720 0.922467 +vt 0.952078 0.923601 +vt 0.952078 0.923959 +vt 0.950944 0.923959 +vt 0.950944 0.923601 +vt 0.954166 0.923959 +vt 0.954166 0.923601 +vt 0.954524 0.923601 +vt 0.954524 0.923959 +vt 0.954166 0.923183 +vt 0.954524 0.923183 +vt 0.954166 0.922825 +vt 0.954524 0.922825 +vt 0.954166 0.922467 +vt 0.954524 0.922467 +vt 0.954882 0.923601 +vt 0.954882 0.923959 +vt 0.953749 0.923959 +vt 0.953749 0.923601 +vt 0.956911 0.923959 +vt 0.956911 0.923601 +vt 0.957329 0.923601 +vt 0.957329 0.923959 +vt 0.956911 0.923183 +vt 0.957329 0.923183 +vt 0.956911 0.922825 +vt 0.957329 0.922825 +vt 0.956911 0.922467 +vt 0.957329 0.922467 +vt 0.957687 0.923601 +vt 0.957687 0.923959 +vt 0.956493 0.923959 +vt 0.956493 0.923601 +vt 0.959715 0.923959 +vt 0.959715 0.923601 +vt 0.960073 0.923601 +vt 0.960073 0.923959 +vt 0.959715 0.923183 +vt 0.960073 0.923183 +vt 0.959715 0.922825 +vt 0.960073 0.922825 +vt 0.959715 0.922467 +vt 0.960073 0.922467 +vt 0.960431 0.923601 +vt 0.960431 0.923959 +vt 0.959298 0.923959 +vt 0.959298 0.923601 +vt 0.961088 0.915605 +vt 0.961088 0.915247 +vt 0.961505 0.915247 +vt 0.961505 0.915605 +vt 0.961088 0.914830 +vt 0.961505 0.914830 +vt 0.961088 0.914472 +vt 0.961505 0.914472 +vt 0.961088 0.914114 +vt 0.961505 0.914114 +vt 0.961863 0.915247 +vt 0.961863 0.915605 +vt 0.960670 0.915605 +vt 0.960670 0.915247 +vt 0.961088 0.918410 +vt 0.961088 0.917992 +vt 0.961505 0.917992 +vt 0.961505 0.918410 +vt 0.961088 0.917634 +vt 0.961505 0.917634 +vt 0.961088 0.917216 +vt 0.961505 0.917216 +vt 0.961088 0.916858 +vt 0.961505 0.916858 +vt 0.961863 0.917992 +vt 0.961863 0.918410 +vt 0.960670 0.918410 +vt 0.960670 0.917992 +vt 0.961088 0.921214 +vt 0.961088 0.920796 +vt 0.961505 0.920796 +vt 0.961505 0.921214 +vt 0.961088 0.920438 +vt 0.961505 0.920438 +vt 0.961088 0.920021 +vt 0.961505 0.920021 +vt 0.961088 0.919663 +vt 0.961505 0.919663 +vt 0.961863 0.920796 +vt 0.961863 0.921214 +vt 0.960670 0.921214 +vt 0.960670 0.920796 +vt 0.956911 0.939651 +vt 0.956911 0.939233 +vt 0.957329 0.939233 +vt 0.957329 0.939651 +vt 0.956911 0.938815 +vt 0.957329 0.938815 +vt 0.956911 0.938457 +vt 0.957329 0.938457 +vt 0.956911 0.938099 +vt 0.957329 0.938099 +vt 0.957687 0.939233 +vt 0.957687 0.939651 +vt 0.956493 0.939651 +vt 0.956493 0.939233 +vt 0.956911 0.946572 +vt 0.956911 0.946154 +vt 0.957329 0.946154 +vt 0.957329 0.946572 +vt 0.956911 0.945796 +vt 0.957329 0.945796 +vt 0.956911 0.945379 +vt 0.957329 0.945379 +vt 0.956911 0.945021 +vt 0.957329 0.945021 +vt 0.957687 0.946154 +vt 0.957687 0.946572 +vt 0.956493 0.946572 +vt 0.956493 0.946154 +vt 0.956911 0.952837 +vt 0.956911 0.952419 +vt 0.957329 0.952419 +vt 0.957329 0.952837 +vt 0.956911 0.952061 +vt 0.957329 0.952061 +vt 0.956911 0.951643 +vt 0.957329 0.951643 +vt 0.956911 0.951285 +vt 0.957329 0.951285 +vt 0.957687 0.952419 +vt 0.957687 0.952837 +vt 0.956493 0.952837 +vt 0.956493 0.952419 +vt 0.938773 0.958087 +vt 0.938355 0.958087 +vt 0.938355 0.957670 +vt 0.938773 0.957670 +vt 0.937997 0.958087 +vt 0.937997 0.957670 +vt 0.937579 0.958087 +vt 0.937579 0.957670 +vt 0.937221 0.958087 +vt 0.937221 0.957670 +vt 0.938355 0.957312 +vt 0.938773 0.957312 +vt 0.938773 0.958505 +vt 0.938355 0.958505 +vt 0.938773 0.960832 +vt 0.938355 0.960832 +vt 0.938355 0.960474 +vt 0.938773 0.960474 +vt 0.937997 0.960832 +vt 0.937997 0.960474 +vt 0.937579 0.960832 +vt 0.937579 0.960474 +vt 0.937221 0.960832 +vt 0.937221 0.960474 +vt 0.938355 0.960116 +vt 0.938773 0.960116 +vt 0.938773 0.961250 +vt 0.938355 0.961250 +vt 0.938773 0.963636 +vt 0.938355 0.963636 +vt 0.938355 0.963278 +vt 0.938773 0.963278 +vt 0.937997 0.963636 +vt 0.937997 0.963278 +vt 0.937579 0.963636 +vt 0.937579 0.963278 +vt 0.937221 0.963636 +vt 0.937221 0.963278 +vt 0.938355 0.962861 +vt 0.938773 0.962861 +vt 0.938773 0.964054 +vt 0.938355 0.964054 +vt 0.938773 0.966381 +vt 0.938355 0.966381 +vt 0.938355 0.966023 +vt 0.938773 0.966023 +vt 0.937997 0.966381 +vt 0.937997 0.966023 +vt 0.937579 0.966381 +vt 0.937579 0.966023 +vt 0.937221 0.966381 +vt 0.937221 0.966023 +vt 0.938355 0.965665 +vt 0.938773 0.965665 +vt 0.938773 0.966799 +vt 0.938355 0.966799 +vt 0.940861 0.966381 +vt 0.940443 0.966381 +vt 0.940443 0.966023 +vt 0.940861 0.966023 +vt 0.940085 0.966381 +vt 0.940085 0.966023 +vt 0.939668 0.966381 +vt 0.939668 0.966023 +vt 0.939310 0.966381 +vt 0.939310 0.966023 +vt 0.940443 0.965665 +vt 0.940861 0.965665 +vt 0.940861 0.966799 +vt 0.940443 0.966799 +vt 0.940861 0.963636 +vt 0.940443 0.963636 +vt 0.940443 0.963278 +vt 0.940861 0.963278 +vt 0.940085 0.963636 +vt 0.940085 0.963278 +vt 0.939668 0.963636 +vt 0.939668 0.963278 +vt 0.939310 0.963636 +vt 0.939310 0.963278 +vt 0.940443 0.962861 +vt 0.940861 0.962861 +vt 0.940861 0.964054 +vt 0.940443 0.964054 +vt 0.940861 0.960832 +vt 0.940443 0.960832 +vt 0.940443 0.960474 +vt 0.940861 0.960474 +vt 0.940085 0.960832 +vt 0.940085 0.960474 +vt 0.939668 0.960832 +vt 0.939668 0.960474 +vt 0.939310 0.960832 +vt 0.939310 0.960474 +vt 0.940443 0.960116 +vt 0.940861 0.960116 +vt 0.940861 0.961250 +vt 0.940443 0.961250 +vt 0.940861 0.958087 +vt 0.940443 0.958087 +vt 0.940443 0.957670 +vt 0.940861 0.957670 +vt 0.940085 0.958087 +vt 0.940085 0.957670 +vt 0.939668 0.958087 +vt 0.939668 0.957670 +vt 0.939310 0.958087 +vt 0.939310 0.957670 +vt 0.940443 0.957312 +vt 0.940861 0.957312 +vt 0.940861 0.958505 +vt 0.940443 0.958505 +vt 0.942949 0.958087 +vt 0.942532 0.958087 +vt 0.942532 0.957670 +vt 0.942949 0.957670 +vt 0.942174 0.958087 +vt 0.942174 0.957670 +vt 0.941756 0.958087 +vt 0.941756 0.957670 +vt 0.941398 0.958087 +vt 0.941398 0.957670 +vt 0.942532 0.957312 +vt 0.942949 0.957312 +vt 0.942949 0.958505 +vt 0.942532 0.958505 +vt 0.942949 0.960832 +vt 0.942532 0.960832 +vt 0.942532 0.960474 +vt 0.942949 0.960474 +vt 0.942174 0.960832 +vt 0.942174 0.960474 +vt 0.941756 0.960832 +vt 0.941756 0.960474 +vt 0.941398 0.960832 +vt 0.941398 0.960474 +vt 0.942532 0.960116 +vt 0.942949 0.960116 +vt 0.942949 0.961250 +vt 0.942532 0.961250 +vt 0.942949 0.963636 +vt 0.942532 0.963636 +vt 0.942532 0.963278 +vt 0.942949 0.963278 +vt 0.942174 0.963636 +vt 0.942174 0.963278 +vt 0.941756 0.963636 +vt 0.941756 0.963278 +vt 0.941398 0.963636 +vt 0.941398 0.963278 +vt 0.942532 0.962861 +vt 0.942949 0.962861 +vt 0.942949 0.964054 +vt 0.942532 0.964054 +vt 0.942949 0.966381 +vt 0.942532 0.966381 +vt 0.942532 0.966023 +vt 0.942949 0.966023 +vt 0.942174 0.966381 +vt 0.942174 0.966023 +vt 0.941756 0.966381 +vt 0.941756 0.966023 +vt 0.941398 0.966381 +vt 0.941398 0.966023 +vt 0.942532 0.965665 +vt 0.942949 0.965665 +vt 0.942949 0.966799 +vt 0.942532 0.966799 +vt 0.945037 0.966381 +vt 0.944620 0.966381 +vt 0.944620 0.966023 +vt 0.945037 0.966023 +vt 0.944262 0.966381 +vt 0.944262 0.966023 +vt 0.943844 0.966381 +vt 0.943844 0.966023 +vt 0.943486 0.966381 +vt 0.943486 0.966023 +vt 0.944620 0.965665 +vt 0.945037 0.965665 +vt 0.945037 0.966799 +vt 0.944620 0.966799 +vt 0.945037 0.963636 +vt 0.944620 0.963636 +vt 0.944620 0.963278 +vt 0.945037 0.963278 +vt 0.944262 0.963636 +vt 0.944262 0.963278 +vt 0.943844 0.963636 +vt 0.943844 0.963278 +vt 0.943486 0.963636 +vt 0.943486 0.963278 +vt 0.944620 0.962861 +vt 0.945037 0.962861 +vt 0.945037 0.964054 +vt 0.944620 0.964054 +vt 0.945037 0.960832 +vt 0.944620 0.960832 +vt 0.944620 0.960474 +vt 0.945037 0.960474 +vt 0.944262 0.960832 +vt 0.944262 0.960474 +vt 0.943844 0.960832 +vt 0.943844 0.960474 +vt 0.943486 0.960832 +vt 0.943486 0.960474 +vt 0.944620 0.960116 +vt 0.945037 0.960116 +vt 0.945037 0.961250 +vt 0.944620 0.961250 +vt 0.945037 0.958087 +vt 0.944620 0.958087 +vt 0.944620 0.957670 +vt 0.945037 0.957670 +vt 0.944262 0.958087 +vt 0.944262 0.957670 +vt 0.943844 0.958087 +vt 0.943844 0.957670 +vt 0.943486 0.958087 +vt 0.943486 0.957670 +vt 0.944620 0.957312 +vt 0.945037 0.957312 +vt 0.945037 0.958505 +vt 0.944620 0.958505 +vt 0.940861 0.955999 +vt 0.940443 0.955999 +vt 0.940443 0.955581 +vt 0.940861 0.955581 +vt 0.940085 0.955999 +vt 0.940085 0.955581 +vt 0.939668 0.955999 +vt 0.939668 0.955581 +vt 0.939310 0.955999 +vt 0.939310 0.955581 +vt 0.940443 0.955223 +vt 0.940861 0.955223 +vt 0.940861 0.956417 +vt 0.940443 0.956417 +vt 0.942949 0.955999 +vt 0.942532 0.955999 +vt 0.942532 0.955581 +vt 0.942949 0.955581 +vt 0.942174 0.955999 +vt 0.942174 0.955581 +vt 0.941756 0.955999 +vt 0.941756 0.955581 +vt 0.941398 0.955999 +vt 0.941398 0.955581 +vt 0.942532 0.955223 +vt 0.942949 0.955223 +vt 0.942949 0.956417 +vt 0.942532 0.956417 +vt 0.945037 0.955999 +vt 0.944620 0.955999 +vt 0.944620 0.955581 +vt 0.945037 0.955581 +vt 0.944262 0.955999 +vt 0.944262 0.955581 +vt 0.943844 0.955999 +vt 0.943844 0.955581 +vt 0.943486 0.955999 +vt 0.943486 0.955581 +vt 0.944620 0.955223 +vt 0.945037 0.955223 +vt 0.945037 0.956417 +vt 0.944620 0.956417 +vt 0.946410 0.959460 +vt 0.946052 0.959460 +vt 0.946052 0.959102 +vt 0.946410 0.959102 +vt 0.945634 0.959460 +vt 0.945634 0.959102 +vt 0.945276 0.959460 +vt 0.945276 0.959102 +vt 0.944858 0.959460 +vt 0.944858 0.959102 +vt 0.946052 0.958684 +vt 0.946410 0.958684 +vt 0.946410 0.959877 +vt 0.946052 0.959877 +vt 0.946410 0.962204 +vt 0.946052 0.962204 +vt 0.946052 0.961846 +vt 0.946410 0.961846 +vt 0.945634 0.962204 +vt 0.945634 0.961846 +vt 0.945276 0.962204 +vt 0.945276 0.961846 +vt 0.944858 0.962204 +vt 0.944858 0.961846 +vt 0.946052 0.961488 +vt 0.946410 0.961488 +vt 0.946410 0.962682 +vt 0.946052 0.962682 +vt 0.946410 0.965009 +vt 0.946052 0.965009 +vt 0.946052 0.964651 +vt 0.946410 0.964651 +vt 0.945634 0.965009 +vt 0.945634 0.964651 +vt 0.945276 0.965009 +vt 0.945276 0.964651 +vt 0.944858 0.965009 +vt 0.944858 0.964651 +vt 0.946052 0.964293 +vt 0.946410 0.964293 +vt 0.946410 0.965426 +vt 0.946052 0.965426 +vt 0.949214 0.962204 +vt 0.948797 0.962204 +vt 0.948797 0.961846 +vt 0.949214 0.961846 +vt 0.948439 0.962204 +vt 0.948439 0.961846 +vt 0.948021 0.962204 +vt 0.948021 0.961846 +vt 0.947663 0.962204 +vt 0.947663 0.961846 +vt 0.948797 0.961488 +vt 0.949214 0.961488 +vt 0.949214 0.962682 +vt 0.948797 0.962682 +vt 0.956911 0.961190 +vt 0.956911 0.960772 +vt 0.957329 0.960772 +vt 0.957329 0.961190 +vt 0.956911 0.960414 +vt 0.957329 0.960414 +vt 0.956911 0.959997 +vt 0.957329 0.959997 +vt 0.956911 0.959639 +vt 0.957329 0.959639 +vt 0.957687 0.960772 +vt 0.957687 0.961190 +vt 0.956493 0.961190 +vt 0.956493 0.960772 +vt 0.958343 0.965367 +vt 0.958343 0.964949 +vt 0.958701 0.964949 +vt 0.958701 0.965367 +vt 0.958343 0.964591 +vt 0.958701 0.964591 +vt 0.958343 0.964173 +vt 0.958701 0.964173 +vt 0.958343 0.963815 +vt 0.958701 0.963815 +vt 0.959059 0.964949 +vt 0.959059 0.965367 +vt 0.957925 0.965367 +vt 0.957925 0.964949 +vt 0.962520 0.963935 +vt 0.962520 0.963577 +vt 0.962878 0.963577 +vt 0.962878 0.963935 +vt 0.962520 0.963159 +vt 0.962878 0.963159 +vt 0.962520 0.962801 +vt 0.962878 0.962801 +vt 0.962520 0.962443 +vt 0.962878 0.962443 +vt 0.963236 0.963577 +vt 0.963236 0.963935 +vt 0.962042 0.963935 +vt 0.962042 0.963577 +vt 0.959715 0.965367 +vt 0.959715 0.964949 +vt 0.960073 0.964949 +vt 0.960073 0.965367 +vt 0.959715 0.964591 +vt 0.960073 0.964591 +vt 0.959715 0.964173 +vt 0.960073 0.964173 +vt 0.959715 0.963815 +vt 0.960073 0.963815 +vt 0.960431 0.964949 +vt 0.960431 0.965367 +vt 0.959298 0.965367 +vt 0.959298 0.964949 +vt 0.962520 0.978732 +vt 0.962520 0.978314 +vt 0.962878 0.978314 +vt 0.962878 0.978732 +vt 0.962520 0.977956 +vt 0.962878 0.977956 +vt 0.962520 0.977538 +vt 0.962878 0.977538 +vt 0.962520 0.977180 +vt 0.962878 0.977180 +vt 0.963236 0.978314 +vt 0.963236 0.978732 +vt 0.962102 0.978732 +vt 0.962102 0.978314 +vt 0.962520 0.980820 +vt 0.962520 0.980402 +vt 0.962878 0.980402 +vt 0.962878 0.980820 +vt 0.962520 0.980044 +vt 0.962878 0.980044 +vt 0.962520 0.979627 +vt 0.962878 0.979627 +vt 0.962520 0.979269 +vt 0.962878 0.979269 +vt 0.963236 0.980402 +vt 0.963236 0.980820 +vt 0.962042 0.980820 +vt 0.962042 0.980402 +vt 0.962520 0.982908 +vt 0.962520 0.982491 +vt 0.962878 0.982491 +vt 0.962878 0.982908 +vt 0.962520 0.982133 +vt 0.962878 0.982133 +vt 0.962520 0.981715 +vt 0.962878 0.981715 +vt 0.962520 0.981357 +vt 0.962878 0.981357 +vt 0.963236 0.982491 +vt 0.963236 0.982908 +vt 0.962102 0.982908 +vt 0.962102 0.982491 +vt 0.963892 0.965367 +vt 0.963892 0.964949 +vt 0.964250 0.964949 +vt 0.964250 0.965367 +vt 0.963892 0.964591 +vt 0.964250 0.964591 +vt 0.963892 0.964173 +vt 0.964250 0.964173 +vt 0.963892 0.963815 +vt 0.964250 0.963815 +vt 0.964608 0.964949 +vt 0.964608 0.965367 +vt 0.963474 0.965367 +vt 0.963474 0.964949 +vt 0.963892 0.972109 +vt 0.963892 0.971751 +vt 0.964250 0.971751 +vt 0.964250 0.972109 +vt 0.963892 0.971333 +vt 0.964250 0.971333 +vt 0.963892 0.970975 +vt 0.964250 0.970975 +vt 0.963892 0.970617 +vt 0.964250 0.970617 +vt 0.964608 0.971751 +vt 0.964608 0.972109 +vt 0.963474 0.972109 +vt 0.963474 0.971751 +vt 0.963892 0.977717 +vt 0.963892 0.977300 +vt 0.964250 0.977300 +vt 0.964250 0.977717 +vt 0.963892 0.976882 +vt 0.964250 0.976882 +vt 0.963892 0.976524 +vt 0.964250 0.976524 +vt 0.963892 0.976166 +vt 0.964250 0.976166 +vt 0.964608 0.977300 +vt 0.964608 0.977717 +vt 0.963474 0.977717 +vt 0.963474 0.977300 +vt 0.963892 0.979806 +vt 0.963892 0.979388 +vt 0.964250 0.979388 +vt 0.964250 0.979806 +vt 0.963892 0.978970 +vt 0.964250 0.978970 +vt 0.963892 0.978612 +vt 0.964250 0.978612 +vt 0.963892 0.978254 +vt 0.964250 0.978254 +vt 0.964608 0.979388 +vt 0.964608 0.979806 +vt 0.963474 0.979806 +vt 0.963474 0.979388 +vt 0.963892 0.987622 +vt 0.963892 0.987204 +vt 0.964250 0.987204 +vt 0.964250 0.987622 +vt 0.963892 0.986846 +vt 0.964250 0.986846 +vt 0.963892 0.986428 +vt 0.964250 0.986428 +vt 0.963892 0.986071 +vt 0.964250 0.986071 +vt 0.964608 0.987204 +vt 0.964608 0.987622 +vt 0.963474 0.987622 +vt 0.963474 0.987204 +vt 0.963892 0.981536 +vt 0.963892 0.981118 +vt 0.964250 0.981118 +vt 0.964250 0.981536 +vt 0.963892 0.980760 +vt 0.964250 0.980760 +vt 0.963892 0.980343 +vt 0.964250 0.980343 +vt 0.963892 0.979985 +vt 0.964250 0.979985 +vt 0.964608 0.981118 +vt 0.964608 0.981536 +vt 0.963474 0.981536 +vt 0.963474 0.981118 +vt 0.963892 0.983624 +vt 0.963892 0.983207 +vt 0.964250 0.983207 +vt 0.964250 0.983624 +vt 0.963892 0.982849 +vt 0.964250 0.982849 +vt 0.963892 0.982431 +vt 0.964250 0.982431 +vt 0.963892 0.982073 +vt 0.964250 0.982073 +vt 0.964608 0.983207 +vt 0.964608 0.983624 +vt 0.963474 0.983624 +vt 0.963474 0.983207 +vt 0.963892 0.974555 +vt 0.963892 0.974137 +vt 0.964250 0.974137 +vt 0.964250 0.974555 +vt 0.963892 0.973779 +vt 0.964250 0.973779 +vt 0.963892 0.973362 +vt 0.964250 0.973362 +vt 0.963892 0.973004 +vt 0.964250 0.973004 +vt 0.964608 0.974137 +vt 0.964608 0.974555 +vt 0.963474 0.974555 +vt 0.963474 0.974137 +vt 0.914289 0.948217 +vt 0.913650 0.948286 +vt 0.913652 0.946588 +vt 0.914248 0.946649 +vt 0.915766 0.948057 +vt 0.915023 0.948095 +vt 0.915009 0.946568 +vt 0.915659 0.946542 +vt 0.916396 0.946537 +vt 0.916537 0.947983 +vt 0.917268 0.946467 +vt 0.917334 0.947899 +vt 0.918168 0.947885 +vt 0.918080 0.946425 +vt 0.919171 0.946513 +vt 0.919131 0.947906 +vt 0.920448 0.946731 +vt 0.920338 0.948097 +vt 0.923257 0.948708 +vt 0.921715 0.948401 +vt 0.921897 0.946967 +vt 0.923457 0.947387 +vt 0.924705 0.949051 +vt 0.924886 0.947758 +vt 0.926295 0.948150 +vt 0.925924 0.949380 +vt 0.927443 0.948401 +vt 0.927042 0.949683 +vt 0.928454 0.948635 +vt 0.928093 0.950000 +vt 0.929564 0.948991 +vt 0.929152 0.950321 +vt 0.930491 0.949310 +vt 0.930029 0.950611 +vt 0.931212 0.949580 +vt 0.931900 0.949901 +vt 0.931404 0.951055 +vt 0.930726 0.950832 +vt 0.911535 0.948052 +vt 0.911645 0.946538 +vt 0.912295 0.946565 +vt 0.912278 0.948092 +vt 0.910764 0.947976 +vt 0.910908 0.946532 +vt 0.909968 0.947891 +vt 0.910037 0.946460 +vt 0.909135 0.947875 +vt 0.909226 0.946416 +vt 0.908135 0.946503 +vt 0.908173 0.947895 +vt 0.906966 0.948084 +vt 0.906859 0.946719 +vt 0.904050 0.948691 +vt 0.903851 0.947371 +vt 0.905410 0.946953 +vt 0.905591 0.948386 +vt 0.902602 0.949032 +vt 0.901383 0.949359 +vt 0.901015 0.948130 +vt 0.902423 0.947740 +vt 0.899867 0.948379 +vt 0.900267 0.949660 +vt 0.898857 0.948612 +vt 0.899216 0.949977 +vt 0.897747 0.948967 +vt 0.898158 0.950296 +vt 0.896820 0.949284 +vt 0.897281 0.950585 +vt 0.913055 0.946648 +vt 0.913010 0.948216 +vt 0.896099 0.949554 +vt 0.896584 0.950805 +vt 0.895906 0.951027 +vt 0.895413 0.949874 +vt 0.898162 0.946968 +vt 0.899226 0.946710 +vt 0.931931 0.947946 +vt 0.932621 0.948270 +vt 0.928086 0.946731 +vt 0.929151 0.946991 +vt 0.910074 0.944826 +vt 0.910897 0.944863 +vt 0.913653 0.944945 +vt 0.914308 0.944955 +vt 0.915651 0.944919 +vt 0.916410 0.944867 +vt 0.905247 0.945371 +vt 0.906664 0.945134 +vt 0.912321 0.944933 +vt 0.912998 0.944954 +vt 0.900406 0.946442 +vt 0.926906 0.946461 +vt 0.909166 0.944806 +vt 0.920645 0.945145 +vt 0.922062 0.945384 +vt 0.917234 0.944832 +vt 0.918142 0.944814 +vt 0.896142 0.947625 +vt 0.897054 0.947292 +vt 0.914986 0.944936 +vt 0.930260 0.947316 +vt 0.931172 0.947650 +vt 0.895383 0.947920 +vt 0.902014 0.946105 +vt 0.903585 0.945782 +vt 0.925297 0.946123 +vt 0.907970 0.944929 +vt 0.923725 0.945798 +vt 0.911656 0.944915 +vt 0.894694 0.948243 +vt 0.919338 0.944938 +vt 0.903256 0.943973 +vt 0.904900 0.943777 +vt 0.922412 0.943790 +vt 0.924057 0.943988 +vt 0.894705 0.946168 +vt 0.895507 0.945869 +vt 0.931809 0.945893 +vt 0.932612 0.946193 +vt 0.910847 0.943325 +vt 0.911623 0.943304 +vt 0.915686 0.943307 +vt 0.916463 0.943330 +vt 0.907804 0.943397 +vt 0.909025 0.943265 +vt 0.918285 0.943272 +vt 0.919506 0.943406 +vt 0.893958 0.946455 +vt 0.933359 0.946481 +vt 0.906446 0.943565 +vt 0.920865 0.943576 +vt 0.896419 0.945562 +vt 0.930897 0.945585 +vt 0.909964 0.943334 +vt 0.917345 0.943340 +vt 0.913005 0.943316 +vt 0.913655 0.943315 +vt 0.914304 0.943317 +vt 0.897434 0.945263 +vt 0.929881 0.945285 +vt 0.912301 0.943306 +vt 0.915008 0.943308 +vt 0.901551 0.944182 +vt 0.925762 0.944199 +vt 0.898536 0.944962 +vt 0.899880 0.944609 +vt 0.927434 0.944628 +vt 0.928779 0.944982 +vt 0.899390 0.942881 +vt 0.901130 0.942416 +vt 0.926185 0.942431 +vt 0.927926 0.942898 +vt 0.911524 0.941678 +vt 0.912286 0.941645 +vt 0.915026 0.941647 +vt 0.915787 0.941681 +vt 0.906273 0.941907 +vt 0.907667 0.941808 +vt 0.919646 0.941816 +vt 0.921041 0.941917 +vt 0.896803 0.943567 +vt 0.897957 0.943254 +vt 0.929360 0.943274 +vt 0.930515 0.943588 +vt 0.902843 0.942291 +vt 0.904502 0.942169 +vt 0.922812 0.942181 +vt 0.924472 0.942305 +vt 0.894058 0.944452 +vt 0.894890 0.944152 +vt 0.932429 0.944175 +vt 0.933261 0.944476 +vt 0.910699 0.941694 +vt 0.916613 0.941698 +vt 0.908919 0.941762 +vt 0.918393 0.941769 +vt 0.893273 0.944767 +vt 0.934046 0.944793 +vt 0.895800 0.943859 +vt 0.931519 0.943881 +vt 0.909786 0.941724 +vt 0.917526 0.941730 +vt 0.912981 0.941668 +vt 0.913656 0.941671 +vt 0.914330 0.941669 +vt 0.898939 0.941242 +vt 0.900762 0.940972 +vt 0.926556 0.940987 +vt 0.928379 0.941260 +vt 0.911409 0.939999 +vt 0.912172 0.939998 +vt 0.915142 0.940000 +vt 0.915905 0.940001 +vt 0.906127 0.940368 +vt 0.907592 0.940217 +vt 0.919723 0.940225 +vt 0.921188 0.940377 +vt 0.896247 0.941854 +vt 0.897460 0.941557 +vt 0.929859 0.941576 +vt 0.931073 0.941874 +vt 0.902418 0.940928 +vt 0.904377 0.940744 +vt 0.922939 0.940755 +vt 0.924899 0.940941 +vt 0.893401 0.942719 +vt 0.894259 0.942425 +vt 0.933062 0.942448 +vt 0.933921 0.942743 +vt 0.910629 0.940021 +vt 0.916685 0.940024 +vt 0.908846 0.940168 +vt 0.918469 0.940174 +vt 0.892589 0.943035 +vt 0.934733 0.943060 +vt 0.895195 0.942141 +vt 0.932126 0.942162 +vt 0.909805 0.940072 +vt 0.917509 0.940077 +vt 0.912918 0.939988 +vt 0.913657 0.939981 +vt 0.914396 0.939989 +vt 0.911345 0.938290 +vt 0.912121 0.938266 +vt 0.915195 0.938268 +vt 0.915971 0.938292 +vt 0.905950 0.938842 +vt 0.907469 0.938589 +vt 0.919848 0.938596 +vt 0.921367 0.938850 +vt 0.895755 0.940066 +vt 0.897026 0.939793 +vt 0.930295 0.939811 +vt 0.931567 0.940086 +vt 0.902142 0.939332 +vt 0.904105 0.939250 +vt 0.923212 0.939261 +vt 0.925176 0.939345 +vt 0.892753 0.940909 +vt 0.893647 0.940623 +vt 0.933676 0.940645 +vt 0.934570 0.940932 +vt 0.910554 0.938326 +vt 0.916762 0.938330 +vt 0.908774 0.938481 +vt 0.918542 0.938486 +vt 0.891916 0.941215 +vt 0.935409 0.941239 +vt 0.894641 0.940345 +vt 0.932682 0.940365 +vt 0.909727 0.938382 +vt 0.917589 0.938386 +vt 0.912891 0.938238 +vt 0.913658 0.938227 +vt 0.914425 0.938239 +vt 0.900513 0.939382 +vt 0.926806 0.939396 +vt 0.898542 0.939541 +vt 0.928779 0.939557 +vt 0.915233 0.936439 +vt 0.916026 0.936467 +vt 0.905537 0.937166 +vt 0.907129 0.936881 +vt 0.920190 0.936888 +vt 0.921781 0.937175 +vt 0.895233 0.938200 +vt 0.896567 0.937971 +vt 0.930756 0.937988 +vt 0.932091 0.938219 +vt 0.901959 0.937617 +vt 0.903744 0.937453 +vt 0.923575 0.937463 +vt 0.925362 0.937629 +vt 0.892095 0.939020 +vt 0.893006 0.938742 +vt 0.934319 0.938763 +vt 0.935231 0.939041 +vt 0.910463 0.936493 +vt 0.911292 0.936465 +vt 0.916855 0.936496 +vt 0.908511 0.936687 +vt 0.918808 0.936692 +vt 0.891252 0.939301 +vt 0.936075 0.939323 +vt 0.894054 0.938465 +vt 0.933271 0.938485 +vt 0.909554 0.936553 +vt 0.917764 0.936557 +vt 0.912872 0.936406 +vt 0.913659 0.936393 +vt 0.914446 0.936407 +vt 0.912084 0.936437 +vt 0.900185 0.937658 +vt 0.927136 0.937672 +vt 0.898121 0.937781 +vt 0.929201 0.937797 +vt 0.905149 0.935253 +vt 0.906796 0.934955 +vt 0.920524 0.934961 +vt 0.922172 0.935261 +vt 0.894702 0.936271 +vt 0.896130 0.936078 +vt 0.931195 0.936094 +vt 0.932624 0.936288 +vt 0.901601 0.935774 +vt 0.903279 0.935592 +vt 0.924042 0.935601 +vt 0.925721 0.935785 +vt 0.891452 0.937054 +vt 0.892374 0.936797 +vt 0.934954 0.936817 +vt 0.935877 0.937074 +vt 0.910314 0.934585 +vt 0.911215 0.934553 +vt 0.916105 0.934556 +vt 0.917006 0.934588 +vt 0.908213 0.934751 +vt 0.919107 0.934757 +vt 0.890608 0.937319 +vt 0.936721 0.937340 +vt 0.893464 0.936528 +vt 0.933863 0.936547 +vt 0.909320 0.934639 +vt 0.918000 0.934643 +vt 0.912852 0.934491 +vt 0.913660 0.934478 +vt 0.914467 0.934491 +vt 0.912043 0.934523 +vt 0.915277 0.934525 +vt 0.899846 0.935849 +vt 0.927477 0.935862 +vt 0.897768 0.935934 +vt 0.929556 0.935948 +vt 0.920814 0.933026 +vt 0.922572 0.933380 +vt 0.894187 0.934300 +vt 0.895723 0.934126 +vt 0.931603 0.934141 +vt 0.933141 0.934316 +vt 0.901181 0.933911 +vt 0.902846 0.933710 +vt 0.924477 0.933719 +vt 0.926142 0.933922 +vt 0.890827 0.935062 +vt 0.891761 0.934810 +vt 0.935568 0.934828 +vt 0.936504 0.935080 +vt 0.910260 0.932583 +vt 0.911182 0.932565 +vt 0.916140 0.932567 +vt 0.917062 0.932586 +vt 0.906508 0.933020 +vt 0.907961 0.932763 +vt 0.919361 0.932767 +vt 0.889976 0.935318 +vt 0.937355 0.935338 +vt 0.904750 0.933373 +vt 0.892883 0.934547 +vt 0.934445 0.934564 +vt 0.909192 0.932629 +vt 0.918130 0.932632 +vt 0.912836 0.932508 +vt 0.913661 0.932495 +vt 0.914485 0.932509 +vt 0.912013 0.932539 +vt 0.915308 0.932540 +vt 0.899471 0.934039 +vt 0.927853 0.934051 +vt 0.897449 0.934030 +vt 0.929876 0.934044 +vt 0.893667 0.932260 +vt 0.895306 0.932058 +vt 0.932023 0.932072 +vt 0.933662 0.932275 +vt 0.900729 0.931855 +vt 0.902397 0.931674 +vt 0.924927 0.931682 +vt 0.926596 0.931865 +vt 0.890205 0.933042 +vt 0.891148 0.932790 +vt 0.936183 0.932807 +vt 0.937127 0.933060 +vt 0.910166 0.930528 +vt 0.911133 0.930515 +vt 0.916190 0.930516 +vt 0.917157 0.930531 +vt 0.906280 0.930881 +vt 0.907785 0.930655 +vt 0.919539 0.930660 +vt 0.921044 0.930887 +vt 0.889343 0.933295 +vt 0.937989 0.933313 +vt 0.904369 0.931282 +vt 0.922955 0.931289 +vt 0.892292 0.932521 +vt 0.935039 0.932537 +vt 0.909053 0.930560 +vt 0.918271 0.930564 +vt 0.912822 0.930462 +vt 0.913662 0.930449 +vt 0.914501 0.930462 +vt 0.911984 0.930491 +vt 0.915339 0.930492 +vt 0.899080 0.931928 +vt 0.928246 0.931939 +vt 0.897130 0.931948 +vt 0.930197 0.931960 +vt 0.900304 0.929678 +vt 0.902004 0.929482 +vt 0.925323 0.929490 +vt 0.927023 0.929687 +vt 0.889543 0.931011 +vt 0.890439 0.930756 +vt 0.936894 0.930771 +vt 0.937790 0.931028 +vt 0.910057 0.928417 +vt 0.911083 0.928410 +vt 0.916241 0.928412 +vt 0.917267 0.928420 +vt 0.905946 0.928724 +vt 0.907502 0.928532 +vt 0.919824 0.928536 +vt 0.921379 0.928729 +vt 0.888703 0.931270 +vt 0.938631 0.931287 +vt 0.904003 0.929092 +vt 0.923323 0.929099 +vt 0.891573 0.930460 +vt 0.935759 0.930475 +vt 0.908864 0.928445 +vt 0.918461 0.928448 +vt 0.912811 0.928370 +vt 0.913662 0.928361 +vt 0.914513 0.928371 +vt 0.893007 0.930153 +vt 0.934324 0.930167 +vt 0.911960 0.928393 +vt 0.915364 0.928394 +vt 0.898710 0.929735 +vt 0.928618 0.929745 +vt 0.894761 0.929894 +vt 0.896744 0.929751 +vt 0.930585 0.929763 +vt 0.932569 0.929907 +vt 0.899877 0.927528 +vt 0.901589 0.927334 +vt 0.925739 0.927341 +vt 0.927452 0.927536 +vt 0.888894 0.928988 +vt 0.889809 0.928722 +vt 0.937525 0.928736 +vt 0.938441 0.929003 +vt 0.909991 0.926273 +vt 0.911055 0.926272 +vt 0.916271 0.926273 +vt 0.917336 0.926275 +vt 0.905591 0.926598 +vt 0.907283 0.926391 +vt 0.920043 0.926395 +vt 0.921736 0.926603 +vt 0.888053 0.929251 +vt 0.939283 0.929267 +vt 0.903574 0.926972 +vt 0.923753 0.926978 +vt 0.890979 0.928400 +vt 0.936354 0.928414 +vt 0.908733 0.926299 +vt 0.918593 0.926302 +vt 0.912804 0.926240 +vt 0.913663 0.926230 +vt 0.914522 0.926240 +vt 0.892471 0.928056 +vt 0.934861 0.928069 +vt 0.911946 0.926260 +vt 0.915380 0.926261 +vt 0.898275 0.927585 +vt 0.929054 0.927594 +vt 0.894261 0.927765 +vt 0.896282 0.927602 +vt 0.931049 0.927612 +vt 0.933071 0.927776 +vt 0.888224 0.926944 +vt 0.889129 0.926675 +vt 0.938206 0.926688 +vt 0.939112 0.926958 +vt 0.909954 0.924090 +vt 0.911045 0.924092 +vt 0.916282 0.924093 +vt 0.917374 0.924092 +vt 0.905333 0.924422 +vt 0.907114 0.924217 +vt 0.920214 0.924220 +vt 0.921995 0.924427 +vt 0.887384 0.927212 +vt 0.939953 0.927226 +vt 0.901167 0.925170 +vt 0.903216 0.924835 +vt 0.924113 0.924841 +vt 0.926162 0.925177 +vt 0.890292 0.926345 +vt 0.937043 0.926357 +vt 0.908651 0.924113 +vt 0.918677 0.924115 +vt 0.912802 0.924066 +vt 0.913664 0.924058 +vt 0.914525 0.924067 +vt 0.891777 0.925992 +vt 0.935557 0.926004 +vt 0.911942 0.924084 +vt 0.915386 0.924085 +vt 0.897760 0.925419 +vt 0.899415 0.925354 +vt 0.927915 0.925362 +vt 0.929571 0.925428 +vt 0.893600 0.925680 +vt 0.895661 0.925476 +vt 0.931670 0.925485 +vt 0.933733 0.925690 +vt 0.887522 0.924838 +vt 0.888413 0.924570 +vt 0.938924 0.924582 +vt 0.939816 0.924851 +vt 0.909944 0.921867 +vt 0.911052 0.921870 +vt 0.916277 0.921872 +vt 0.917385 0.921868 +vt 0.905074 0.922192 +vt 0.906916 0.921993 +vt 0.920413 0.921996 +vt 0.922255 0.922196 +vt 0.886682 0.925111 +vt 0.940656 0.925124 +vt 0.900747 0.922987 +vt 0.902955 0.922597 +vt 0.924375 0.922602 +vt 0.926583 0.922993 +vt 0.889572 0.924236 +vt 0.937764 0.924247 +vt 0.908558 0.921894 +vt 0.918770 0.921897 +vt 0.912803 0.921847 +vt 0.913664 0.921839 +vt 0.914525 0.921848 +vt 0.891065 0.923866 +vt 0.936270 0.923876 +vt 0.911943 0.921864 +vt 0.915385 0.921865 +vt 0.897174 0.923222 +vt 0.898925 0.923159 +vt 0.928406 0.923166 +vt 0.930158 0.923230 +vt 0.892897 0.923535 +vt 0.895005 0.923319 +vt 0.932328 0.923328 +vt 0.934438 0.923544 +vt 0.886781 0.922656 +vt 0.887673 0.922382 +vt 0.939664 0.922393 +vt 0.940557 0.922667 +vt 0.909804 0.919619 +vt 0.910999 0.919624 +vt 0.916331 0.919625 +vt 0.917525 0.919620 +vt 0.904841 0.919956 +vt 0.906682 0.919722 +vt 0.920648 0.919724 +vt 0.922489 0.919959 +vt 0.885942 0.922933 +vt 0.941396 0.922944 +vt 0.900401 0.920719 +vt 0.902517 0.920326 +vt 0.924814 0.920331 +vt 0.926930 0.920725 +vt 0.888859 0.922032 +vt 0.938478 0.922042 +vt 0.908343 0.919633 +vt 0.918986 0.919635 +vt 0.912805 0.919593 +vt 0.913665 0.919583 +vt 0.914524 0.919593 +vt 0.890405 0.921636 +vt 0.936931 0.921645 +vt 0.911932 0.919613 +vt 0.915397 0.919613 +vt 0.896655 0.920920 +vt 0.898589 0.920838 +vt 0.928744 0.920844 +vt 0.930678 0.920927 +vt 0.892301 0.921272 +vt 0.894441 0.921027 +vt 0.932893 0.921035 +vt 0.935035 0.921281 +vt 0.902133 0.917945 +vt 0.904569 0.917624 +vt 0.922762 0.917626 +vt 0.925199 0.917948 +vt 0.889733 0.919360 +vt 0.891693 0.918904 +vt 0.935643 0.918911 +vt 0.937605 0.919368 +vt 0.898048 0.918342 +vt 0.899901 0.918239 +vt 0.927432 0.918243 +vt 0.929285 0.918347 +vt 0.886021 0.920452 +vt 0.886917 0.920171 +vt 0.940422 0.920180 +vt 0.941318 0.920462 +vt 0.909971 0.917320 +vt 0.911080 0.917351 +vt 0.916250 0.917352 +vt 0.917359 0.917321 +vt 0.906746 0.917353 +vt 0.920584 0.917355 +vt 0.885184 0.920733 +vt 0.942155 0.920743 +vt 0.888134 0.919800 +vt 0.939205 0.919809 +vt 0.908525 0.917293 +vt 0.918805 0.917295 +vt 0.912805 0.917326 +vt 0.913665 0.917312 +vt 0.914525 0.917326 +vt 0.911950 0.917346 +vt 0.915379 0.917347 +vt 0.896165 0.918386 +vt 0.931169 0.918392 +vt 0.893906 0.918535 +vt 0.933429 0.918541 +vt 0.889062 0.917219 +vt 0.891088 0.916700 +vt 0.936249 0.916706 +vt 0.938277 0.917225 +vt 0.897801 0.915984 +vt 0.899581 0.915909 +vt 0.927752 0.915913 +vt 0.929533 0.915988 +vt 0.885290 0.918360 +vt 0.886183 0.918073 +vt 0.941157 0.918081 +vt 0.942051 0.918369 +vt 0.909999 0.915021 +vt 0.911095 0.915066 +vt 0.916236 0.915067 +vt 0.917332 0.915022 +vt 0.904245 0.915306 +vt 0.906622 0.915028 +vt 0.920709 0.915030 +vt 0.923087 0.915308 +vt 0.884456 0.918645 +vt 0.942885 0.918654 +vt 0.901686 0.915649 +vt 0.925647 0.915652 +vt 0.887421 0.917687 +vt 0.939919 0.917695 +vt 0.908531 0.914982 +vt 0.918800 0.914983 +vt 0.912799 0.915037 +vt 0.913665 0.915012 +vt 0.914532 0.915037 +vt 0.911949 0.915065 +vt 0.915381 0.915066 +vt 0.895838 0.916030 +vt 0.931496 0.916034 +vt 0.893488 0.916251 +vt 0.933848 0.916256 +vt 0.888535 0.915362 +vt 0.890662 0.914827 +vt 0.936676 0.914832 +vt 0.938804 0.915368 +vt 0.897484 0.913988 +vt 0.899317 0.913846 +vt 0.928017 0.913849 +vt 0.929851 0.913991 +vt 0.884629 0.916503 +vt 0.885506 0.916209 +vt 0.941835 0.916216 +vt 0.942712 0.916511 +vt 0.910035 0.912684 +vt 0.911110 0.912717 +vt 0.916221 0.912717 +vt 0.917296 0.912685 +vt 0.904132 0.913072 +vt 0.906618 0.912768 +vt 0.920714 0.912769 +vt 0.923200 0.913073 +vt 0.883803 0.916793 +vt 0.943539 0.916801 +vt 0.901441 0.913529 +vt 0.925892 0.913532 +vt 0.886738 0.915824 +vt 0.940602 0.915830 +vt 0.908549 0.912681 +vt 0.918782 0.912681 +vt 0.912777 0.912686 +vt 0.913665 0.912659 +vt 0.914554 0.912686 +vt 0.911939 0.912720 +vt 0.915392 0.912720 +vt 0.895491 0.914102 +vt 0.931845 0.914106 +vt 0.893209 0.914412 +vt 0.934128 0.914417 +vt 0.897198 0.912026 +vt 0.898937 0.911884 +vt 0.928398 0.911886 +vt 0.930137 0.912029 +vt 0.883981 0.914726 +vt 0.884793 0.914423 +vt 0.942549 0.914429 +vt 0.943361 0.914733 +vt 0.910128 0.910447 +vt 0.911115 0.910445 +vt 0.916216 0.910445 +vt 0.917203 0.910447 +vt 0.904046 0.910911 +vt 0.906607 0.910582 +vt 0.920725 0.910582 +vt 0.923287 0.910912 +vt 0.883172 0.915022 +vt 0.944171 0.915029 +vt 0.901356 0.911413 +vt 0.925978 0.911414 +vt 0.886159 0.914023 +vt 0.941182 0.914028 +vt 0.908666 0.910465 +vt 0.918666 0.910465 +vt 0.912707 0.910435 +vt 0.913665 0.910457 +vt 0.914624 0.910435 +vt 0.888194 0.913696 +vt 0.939146 0.913701 +vt 0.911902 0.910450 +vt 0.915429 0.910450 +vt 0.895296 0.912175 +vt 0.932040 0.912178 +vt 0.890372 0.913099 +vt 0.892837 0.912571 +vt 0.934501 0.912574 +vt 0.936967 0.913103 +vt 0.921697 0.900873 +vt 0.921472 0.899783 +vt 0.922778 0.899477 +vt 0.922103 0.900843 +vt 0.921264 0.898323 +vt 0.923208 0.898032 +vt 0.921031 0.896797 +vt 0.923604 0.896568 +vt 0.920778 0.895121 +vt 0.923906 0.894794 +vt 0.920444 0.892562 +vt 0.924084 0.892124 +vt 0.920905 0.889604 +vt 0.924084 0.888854 +vt 0.920898 0.885869 +vt 0.923759 0.885397 +vt 0.921040 0.881100 +vt 0.923690 0.881203 +vt 0.902620 0.901936 +vt 0.902910 0.900027 +vt 0.904421 0.899747 +vt 0.902986 0.902279 +vt 0.902883 0.898522 +vt 0.905351 0.898000 +vt 0.902866 0.897011 +vt 0.906047 0.896292 +vt 0.902841 0.895099 +vt 0.906047 0.894152 +vt 0.902452 0.892472 +vt 0.905557 0.891337 +vt 0.901803 0.889382 +vt 0.904771 0.887782 +vt 0.900841 0.885995 +vt 0.903163 0.884403 +vt 0.899839 0.881864 +vt 0.902043 0.881099 +vt 0.931913 0.881107 +vt 0.933012 0.877087 +vt 0.935250 0.877740 +vt 0.933447 0.881680 +vt 0.933489 0.874984 +vt 0.936779 0.875912 +vt 0.934116 0.873163 +vt 0.937721 0.873801 +vt 0.934875 0.871188 +vt 0.938474 0.871825 +vt 0.936044 0.868060 +vt 0.939671 0.868214 +vt 0.936851 0.864223 +vt 0.940337 0.863756 +vt 0.937039 0.860900 +vt 0.940394 0.860816 +vt 0.937436 0.856889 +vt 0.940394 0.857488 +vt 0.936691 0.853017 +vt 0.939631 0.853516 +vt 0.935862 0.847957 +vt 0.938586 0.848470 +vt 0.934623 0.843690 +vt 0.937961 0.844119 +vt 0.933449 0.839352 +vt 0.937511 0.839384 +vt 0.933466 0.835651 +vt 0.937657 0.835633 +vt 0.933575 0.831386 +vt 0.937587 0.831319 +vt 0.933481 0.827117 +vt 0.937451 0.827250 +vt 0.927892 0.904602 +vt 0.928656 0.901656 +vt 0.930669 0.901661 +vt 0.928618 0.905149 +vt 0.929102 0.899625 +vt 0.931175 0.899583 +vt 0.929374 0.897769 +vt 0.931604 0.897528 +vt 0.929299 0.895784 +vt 0.931860 0.895487 +vt 0.929013 0.892823 +vt 0.931860 0.892109 +vt 0.928693 0.889166 +vt 0.931459 0.888155 +vt 0.928029 0.885478 +vt 0.930744 0.884890 +vt 0.927344 0.882132 +vt 0.929976 0.881100 +vt 0.919497 0.880499 +vt 0.921859 0.876615 +vt 0.924050 0.877608 +vt 0.920535 0.881047 +vt 0.923399 0.875006 +vt 0.925928 0.875987 +vt 0.924358 0.873093 +vt 0.927094 0.874351 +vt 0.925240 0.871087 +vt 0.928247 0.872129 +vt 0.926597 0.867528 +vt 0.929904 0.869074 +vt 0.927391 0.863222 +vt 0.931171 0.865232 +vt 0.927727 0.860291 +vt 0.931860 0.861323 +vt 0.927809 0.856865 +vt 0.931860 0.857754 +vt 0.926442 0.852971 +vt 0.930001 0.852920 +vt 0.923741 0.848747 +vt 0.927991 0.847767 +vt 0.921756 0.844595 +vt 0.926242 0.843185 +vt 0.919781 0.839830 +vt 0.924585 0.838244 +vt 0.918608 0.836113 +vt 0.923030 0.834310 +vt 0.917152 0.832149 +vt 0.921513 0.830047 +vt 0.915877 0.828573 +vt 0.920305 0.827117 +vt 0.958390 0.889593 +vt 0.958891 0.884783 +vt 0.960643 0.885015 +vt 0.959441 0.889327 +vt 0.959437 0.882500 +vt 0.962276 0.882413 +vt 0.959408 0.880489 +vt 0.962796 0.879946 +vt 0.959118 0.877913 +vt 0.962901 0.877117 +vt 0.958984 0.874530 +vt 0.962516 0.874184 +vt 0.957704 0.870798 +vt 0.961784 0.870366 +vt 0.956756 0.867283 +vt 0.961239 0.866800 +vt 0.956241 0.863173 +vt 0.960429 0.862672 +vt 0.955963 0.858338 +vt 0.960490 0.857932 +vt 0.956103 0.853635 +vt 0.960765 0.853738 +vt 0.956618 0.848466 +vt 0.960956 0.848773 +vt 0.957207 0.842153 +vt 0.961392 0.842254 +vt 0.957100 0.836443 +vt 0.961881 0.837028 +vt 0.957388 0.831562 +vt 0.962480 0.832286 +vt 0.957867 0.827117 +vt 0.962901 0.827608 +vt 0.977718 0.887614 +vt 0.975994 0.884957 +vt 0.977887 0.885035 +vt 0.977859 0.886921 +vt 0.975853 0.882551 +vt 0.978045 0.882553 +vt 0.975608 0.879949 +vt 0.978098 0.879920 +vt 0.975627 0.877147 +vt 0.978102 0.877149 +vt 0.975546 0.873722 +vt 0.978068 0.873554 +vt 0.975545 0.869238 +vt 0.978055 0.868983 +vt 0.975598 0.866131 +vt 0.978063 0.865896 +vt 0.975484 0.862322 +vt 0.978093 0.862189 +vt 0.975406 0.858023 +vt 0.978057 0.857874 +vt 0.975657 0.853435 +vt 0.978082 0.853391 +vt 0.975734 0.848664 +vt 0.978089 0.848503 +vt 0.975762 0.842287 +vt 0.978013 0.842268 +vt 0.975956 0.837070 +vt 0.978015 0.837053 +vt 0.975835 0.832492 +vt 0.978030 0.832220 +vt 0.975645 0.827117 +vt 0.978104 0.827265 +vt 0.971877 0.889054 +vt 0.969259 0.885408 +vt 0.971625 0.884870 +vt 0.972327 0.888005 +vt 0.968803 0.882496 +vt 0.972069 0.882513 +vt 0.968769 0.879970 +vt 0.972344 0.879946 +vt 0.968842 0.877174 +vt 0.972582 0.877206 +vt 0.968919 0.874135 +vt 0.972443 0.873807 +vt 0.969031 0.870338 +vt 0.972352 0.869306 +vt 0.968614 0.866678 +vt 0.972247 0.866067 +vt 0.968291 0.862568 +vt 0.972031 0.862236 +vt 0.967852 0.857991 +vt 0.971825 0.857941 +vt 0.967830 0.853544 +vt 0.972019 0.853341 +vt 0.967795 0.848583 +vt 0.972009 0.848568 +vt 0.967807 0.842248 +vt 0.972128 0.842272 +vt 0.967892 0.836867 +vt 0.972330 0.836998 +vt 0.967931 0.832180 +vt 0.972174 0.832446 +vt 0.967795 0.827461 +vt 0.972025 0.827117 +vt 0.933843 0.901480 +vt 0.933438 0.901429 +vt 0.932835 0.900029 +vt 0.934123 0.900403 +vt 0.932480 0.898564 +vt 0.934407 0.898955 +vt 0.932161 0.897082 +vt 0.934719 0.897444 +vt 0.931951 0.895294 +vt 0.935058 0.895783 +vt 0.931913 0.892618 +vt 0.935524 0.893245 +vt 0.932082 0.889353 +vt 0.935218 0.890267 +vt 0.932586 0.885917 +vt 0.935419 0.886537 +vt 0.932873 0.881733 +vt 0.935524 0.881767 +vt 0.913043 0.901936 +vt 0.912677 0.902279 +vt 0.911242 0.899747 +vt 0.912753 0.900027 +vt 0.910312 0.898001 +vt 0.912780 0.898522 +vt 0.909616 0.896292 +vt 0.912797 0.897012 +vt 0.909616 0.894152 +vt 0.912822 0.895099 +vt 0.910106 0.891337 +vt 0.913211 0.892472 +vt 0.910892 0.887782 +vt 0.913860 0.889382 +vt 0.912500 0.884403 +vt 0.914823 0.885995 +vt 0.913620 0.881099 +vt 0.915824 0.881864 +vt 0.948921 0.881109 +vt 0.947387 0.881681 +vt 0.945585 0.877742 +vt 0.947823 0.877092 +vt 0.944058 0.875915 +vt 0.947347 0.874989 +vt 0.943117 0.873805 +vt 0.946720 0.873168 +vt 0.942365 0.871830 +vt 0.945963 0.871193 +vt 0.941169 0.868219 +vt 0.944795 0.868066 +vt 0.940503 0.863763 +vt 0.943988 0.864230 +vt 0.943801 0.860907 +vt 0.943404 0.856896 +vt 0.941209 0.853523 +vt 0.944150 0.853023 +vt 0.942254 0.848477 +vt 0.944978 0.847963 +vt 0.942878 0.844125 +vt 0.946216 0.843695 +vt 0.943326 0.839389 +vt 0.947389 0.839356 +vt 0.943179 0.835637 +vt 0.947371 0.835653 +vt 0.943247 0.831322 +vt 0.947261 0.831387 +vt 0.943382 0.827252 +vt 0.947353 0.827117 +vt 0.919844 0.904602 +vt 0.919118 0.905150 +vt 0.917068 0.901661 +vt 0.919080 0.901656 +vt 0.916561 0.899583 +vt 0.918635 0.899625 +vt 0.916133 0.897527 +vt 0.918363 0.897769 +vt 0.915877 0.895486 +vt 0.918438 0.895783 +vt 0.915877 0.892109 +vt 0.918724 0.892822 +vt 0.916277 0.888155 +vt 0.919043 0.889166 +vt 0.916992 0.884890 +vt 0.919707 0.885477 +vt 0.917760 0.881100 +vt 0.920392 0.882132 +vt 0.912204 0.880497 +vt 0.911166 0.881046 +vt 0.907650 0.877607 +vt 0.909841 0.876614 +vt 0.905772 0.875986 +vt 0.908301 0.875004 +vt 0.904606 0.874350 +vt 0.907342 0.873092 +vt 0.903452 0.872128 +vt 0.906460 0.871086 +vt 0.901795 0.869073 +vt 0.905102 0.867526 +vt 0.900528 0.865231 +vt 0.904307 0.863221 +vt 0.899839 0.861321 +vt 0.903971 0.860289 +vt 0.899839 0.857752 +vt 0.903890 0.856863 +vt 0.901698 0.852918 +vt 0.905257 0.852970 +vt 0.903709 0.847766 +vt 0.907958 0.848745 +vt 0.905457 0.843184 +vt 0.909943 0.844594 +vt 0.907115 0.838243 +vt 0.911918 0.839829 +vt 0.908670 0.834309 +vt 0.913093 0.836113 +vt 0.910188 0.830047 +vt 0.914548 0.832149 +vt 0.911397 0.827117 +vt 0.915824 0.828574 +vt 0.953485 0.889594 +vt 0.952433 0.889328 +vt 0.951231 0.885015 +vt 0.952984 0.884784 +vt 0.949598 0.882413 +vt 0.952437 0.882500 +vt 0.949078 0.879946 +vt 0.952466 0.880489 +vt 0.948973 0.877116 +vt 0.952757 0.877912 +vt 0.949358 0.874183 +vt 0.952890 0.874529 +vt 0.950090 0.870365 +vt 0.954171 0.870797 +vt 0.950635 0.866799 +vt 0.955118 0.867281 +vt 0.951445 0.862670 +vt 0.955633 0.863171 +vt 0.951384 0.857930 +vt 0.955911 0.858336 +vt 0.951109 0.853736 +vt 0.955771 0.853633 +vt 0.950918 0.848771 +vt 0.955256 0.848464 +vt 0.950482 0.842253 +vt 0.954667 0.842151 +vt 0.949993 0.837027 +vt 0.954774 0.836442 +vt 0.949394 0.832285 +vt 0.954485 0.831561 +vt 0.948973 0.827608 +vt 0.954007 0.827117 +vt 0.973007 0.887611 +vt 0.972867 0.886918 +vt 0.972841 0.885033 +vt 0.974733 0.884957 +vt 0.972686 0.882552 +vt 0.974877 0.882552 +vt 0.972635 0.879919 +vt 0.975125 0.879951 +vt 0.972635 0.877148 +vt 0.975110 0.877149 +vt 0.972673 0.873554 +vt 0.975194 0.873724 +vt 0.972691 0.868983 +vt 0.975200 0.869241 +vt 0.972686 0.865897 +vt 0.975151 0.866134 +vt 0.972660 0.862190 +vt 0.975269 0.862326 +vt 0.972701 0.857875 +vt 0.972682 0.853392 +vt 0.975107 0.853439 +vt 0.972681 0.848505 +vt 0.975035 0.848669 +vt 0.972764 0.842269 +vt 0.975015 0.842291 +vt 0.972769 0.837053 +vt 0.974828 0.837073 +vt 0.972759 0.832219 +vt 0.974955 0.832494 +vt 0.972692 0.827262 +vt 0.975152 0.827117 +vt 0.963659 0.889055 +vt 0.963209 0.888006 +vt 0.963911 0.884870 +vt 0.966277 0.885408 +vt 0.963467 0.882513 +vt 0.966734 0.882496 +vt 0.963191 0.879945 +vt 0.966767 0.879969 +vt 0.962953 0.877205 +vt 0.966694 0.877172 +vt 0.963093 0.873805 +vt 0.966617 0.874133 +vt 0.963184 0.869304 +vt 0.966505 0.870336 +vt 0.963289 0.866065 +vt 0.966922 0.866676 +vt 0.963505 0.862234 +vt 0.967245 0.862566 +vt 0.963712 0.857939 +vt 0.967684 0.857989 +vt 0.963518 0.853340 +vt 0.967706 0.853542 +vt 0.963527 0.848567 +vt 0.967741 0.848582 +vt 0.963408 0.842271 +vt 0.967730 0.842247 +vt 0.963207 0.836997 +vt 0.967644 0.836866 +vt 0.963363 0.832446 +vt 0.967606 0.832180 +vt 0.963512 0.827117 +vt 0.967742 0.827461 +vt 0.765948 0.949955 +vt 0.766430 0.949961 +vt 0.766766 0.950309 +vt 0.766754 0.950794 +vt 0.765600 0.950287 +vt 0.766403 0.951129 +vt 0.765588 0.950768 +vt 0.765919 0.951117 +vt 0.764989 0.950999 +vt 0.765019 0.950019 +vt 0.765725 0.949366 +vt 0.766697 0.949368 +vt 0.767374 0.950086 +vt 0.767335 0.951052 +vt 0.766646 0.951728 +vt 0.780190 0.937167 +vt 0.780218 0.938135 +vt 0.779624 0.937898 +vt 0.779610 0.937421 +vt 0.763322 0.956585 +vt 0.760085 0.952858 +vt 0.762119 0.952093 +vt 0.764425 0.954509 +vt 0.783104 0.939212 +vt 0.782935 0.935875 +vt 0.784987 0.934770 +vt 0.785432 0.939882 +vt 0.767919 0.946535 +vt 0.767221 0.948145 +vt 0.765211 0.948071 +vt 0.764591 0.946494 +vt 0.777869 0.938200 +vt 0.778580 0.938854 +vt 0.778081 0.940167 +vt 0.776591 0.938708 +vt 0.777472 0.941762 +vt 0.775025 0.939484 +vt 0.765668 0.951708 +vt 0.776494 0.944316 +vt 0.772668 0.940341 +vt 0.770175 0.952317 +vt 0.770298 0.948972 +vt 0.772577 0.947910 +vt 0.772658 0.953426 +vt 0.763760 0.949520 +vt 0.762246 0.948774 +vt 0.781513 0.938550 +vt 0.781374 0.936590 +vt 0.779545 0.938842 +vt 0.779292 0.938248 +vt 0.768618 0.951623 +vt 0.768637 0.949535 +vt 0.760085 0.947974 +vt 0.763581 0.944354 +vt 0.776450 0.931566 +vt 0.781290 0.931566 +vt 0.780528 0.933584 +vt 0.777266 0.933721 +vt 0.780167 0.940071 +vt 0.780819 0.941696 +vt 0.779492 0.936479 +vt 0.779265 0.937086 +vt 0.779992 0.935209 +vt 0.777956 0.935249 +vt 0.778520 0.936522 +vt 0.782007 0.943913 +vt 0.767771 0.954628 +vt 0.768496 0.956999 +vt 0.778782 0.937097 +vt 0.768737 0.944245 +vt 0.774982 0.936099 +vt 0.772806 0.935078 +vt 0.765057 0.952925 +vt 0.767081 0.953032 +vt 0.777838 0.937216 +vt 0.778446 0.937443 +vt 0.778456 0.937927 +vt 0.778808 0.938261 +vt 0.763751 0.951471 +vt 0.776603 0.936729 +vt 0.807461 0.949955 +vt 0.806655 0.950794 +vt 0.806644 0.950309 +vt 0.806979 0.949961 +vt 0.807810 0.950287 +vt 0.807006 0.951129 +vt 0.807821 0.950768 +vt 0.807490 0.951117 +vt 0.808390 0.950019 +vt 0.808420 0.950999 +vt 0.807684 0.949366 +vt 0.806712 0.949368 +vt 0.806036 0.950086 +vt 0.806074 0.951052 +vt 0.806763 0.951728 +vt 0.793220 0.937167 +vt 0.793799 0.937421 +vt 0.793785 0.937898 +vt 0.793192 0.938135 +vt 0.810088 0.956585 +vt 0.808984 0.954509 +vt 0.811290 0.952093 +vt 0.813324 0.952858 +vt 0.790305 0.939212 +vt 0.787978 0.939882 +vt 0.788422 0.934770 +vt 0.790474 0.935875 +vt 0.805490 0.946535 +vt 0.808818 0.946494 +vt 0.808198 0.948071 +vt 0.806188 0.948145 +vt 0.795540 0.938200 +vt 0.796818 0.938708 +vt 0.795328 0.940167 +vt 0.794829 0.938854 +vt 0.798384 0.939484 +vt 0.795937 0.941762 +vt 0.807742 0.951708 +vt 0.800741 0.940341 +vt 0.796915 0.944316 +vt 0.803235 0.952317 +vt 0.800751 0.953426 +vt 0.800833 0.947910 +vt 0.803111 0.948972 +vt 0.809649 0.949520 +vt 0.811163 0.948774 +vt 0.791896 0.938550 +vt 0.792035 0.936590 +vt 0.794118 0.938248 +vt 0.793864 0.938842 +vt 0.804792 0.951623 +vt 0.804772 0.949535 +vt 0.809828 0.944354 +vt 0.813324 0.947974 +vt 0.796959 0.931566 +vt 0.796144 0.933721 +vt 0.792881 0.933584 +vt 0.792119 0.931566 +vt 0.793242 0.940071 +vt 0.792590 0.941696 +vt 0.793917 0.936479 +vt 0.794144 0.937086 +vt 0.795454 0.935249 +vt 0.793417 0.935209 +vt 0.794889 0.936522 +vt 0.791402 0.943913 +vt 0.804913 0.956999 +vt 0.805638 0.954628 +vt 0.794627 0.937097 +vt 0.804672 0.944245 +vt 0.798427 0.936099 +vt 0.800603 0.935078 +vt 0.806329 0.953032 +vt 0.808352 0.952925 +vt 0.795571 0.937216 +vt 0.794963 0.937443 +vt 0.794953 0.937927 +vt 0.794602 0.938261 +vt 0.809658 0.951471 +vt 0.796806 0.936729 +vt 0.787695 0.990755 +vt 0.786492 0.990043 +vt 0.786420 0.989509 +vt 0.787945 0.990077 +vt 0.782911 0.970446 +vt 0.781602 0.972085 +vt 0.781166 0.971776 +vt 0.782471 0.969617 +vt 0.784402 0.972637 +vt 0.784797 0.973284 +vt 0.783142 0.973834 +vt 0.782865 0.973299 +vt 0.784198 0.989364 +vt 0.784426 0.990221 +vt 0.783063 0.989721 +vt 0.783072 0.989059 +vt 0.795841 0.990755 +vt 0.795591 0.990077 +vt 0.797117 0.989509 +vt 0.797044 0.990043 +vt 0.800988 0.970446 +vt 0.801428 0.969617 +vt 0.802733 0.971776 +vt 0.802297 0.972085 +vt 0.799497 0.972637 +vt 0.801034 0.973299 +vt 0.800757 0.973834 +vt 0.799102 0.973284 +vt 0.799338 0.989364 +vt 0.800465 0.989059 +vt 0.800473 0.989721 +vt 0.799110 0.990221 +vt 0.789725 0.989450 +vt 0.788396 0.988666 +vt 0.790360 0.988326 +vt 0.790711 0.988839 +vt 0.789256 0.990044 +vt 0.788163 0.989550 +vt 0.786391 0.988952 +vt 0.786290 0.988555 +vt 0.788800 0.991444 +vt 0.789007 0.990663 +vt 0.788601 0.992225 +vt 0.787507 0.991582 +vt 0.786457 0.990967 +vt 0.792792 0.970730 +vt 0.793337 0.973136 +vt 0.792830 0.973032 +vt 0.792220 0.970811 +vt 0.794128 0.973064 +vt 0.793899 0.971098 +vt 0.783466 0.971284 +vt 0.782216 0.972619 +vt 0.784321 0.972058 +vt 0.782659 0.972981 +vt 0.786857 0.972669 +vt 0.786872 0.972976 +vt 0.787052 0.973681 +vt 0.784148 0.988788 +vt 0.783052 0.988616 +vt 0.784150 0.988135 +vt 0.784120 0.987394 +vt 0.783009 0.987452 +vt 0.782919 0.986686 +vt 0.782654 0.986220 +vt 0.782900 0.986143 +vt 0.795374 0.989550 +vt 0.795140 0.988666 +vt 0.797246 0.988555 +vt 0.797145 0.988952 +vt 0.794280 0.990044 +vt 0.793812 0.989450 +vt 0.792825 0.988839 +vt 0.793176 0.988326 +vt 0.796030 0.991582 +vt 0.797079 0.990967 +vt 0.794935 0.992225 +vt 0.794737 0.991444 +vt 0.794530 0.990663 +vt 0.800433 0.971284 +vt 0.801683 0.972619 +vt 0.799578 0.972058 +vt 0.797047 0.969294 +vt 0.797698 0.968462 +vt 0.790562 0.973136 +vt 0.791107 0.970730 +vt 0.791679 0.970811 +vt 0.791068 0.973032 +vt 0.797027 0.972976 +vt 0.796847 0.973681 +vt 0.797042 0.972669 +vt 0.801240 0.972981 +vt 0.799388 0.988788 +vt 0.800484 0.988616 +vt 0.800618 0.986686 +vt 0.799416 0.987394 +vt 0.800636 0.986143 +vt 0.800883 0.986220 +vt 0.800527 0.987452 +vt 0.799386 0.988135 +vt 0.785167 0.967608 +vt 0.784714 0.967027 +vt 0.793872 0.969564 +vt 0.792648 0.968994 +vt 0.793787 0.967641 +vt 0.794077 0.968495 +vt 0.786852 0.969294 +vt 0.787655 0.970266 +vt 0.795181 0.972994 +vt 0.794884 0.971004 +vt 0.796244 0.970266 +vt 0.799185 0.967027 +vt 0.798732 0.967608 +vt 0.788160 0.965733 +vt 0.789741 0.966311 +vt 0.789467 0.966610 +vt 0.788182 0.966453 +vt 0.789771 0.973064 +vt 0.788718 0.972994 +vt 0.789015 0.971004 +vt 0.790000 0.971098 +vt 0.786200 0.968462 +vt 0.796154 0.967477 +vt 0.795969 0.967972 +vt 0.795343 0.967566 +vt 0.795357 0.967366 +vt 0.787745 0.967477 +vt 0.788695 0.967175 +vt 0.788542 0.967366 +vt 0.790027 0.969564 +vt 0.789193 0.969546 +vt 0.789211 0.968700 +vt 0.789822 0.968495 +vt 0.794158 0.966311 +vt 0.795739 0.965733 +vt 0.795717 0.966453 +vt 0.794432 0.966610 +vt 0.795739 0.969207 +vt 0.794706 0.969546 +vt 0.794688 0.968700 +vt 0.795438 0.968500 +vt 0.786949 0.967748 +vt 0.786529 0.966652 +vt 0.796950 0.967748 +vt 0.796481 0.968480 +vt 0.788160 0.969207 +vt 0.787418 0.968480 +vt 0.787930 0.967972 +vt 0.788461 0.968500 +vt 0.788922 0.967518 +vt 0.789102 0.967155 +vt 0.794977 0.967518 +vt 0.794797 0.967155 +vt 0.795204 0.967175 +vt 0.788556 0.967566 +vt 0.788727 0.967886 +vt 0.794447 0.967508 +vt 0.794516 0.967890 +vt 0.789048 0.968029 +vt 0.789383 0.967890 +vt 0.790111 0.967641 +vt 0.789452 0.967508 +vt 0.794851 0.968029 +vt 0.795172 0.967886 +vt 0.797370 0.966652 +vt 0.788665 0.973453 +vt 0.788608 0.974128 +vt 0.790988 0.967360 +vt 0.791251 0.968994 +vt 0.792910 0.967360 +vt 0.786414 0.966004 +vt 0.792220 0.968778 +vt 0.791679 0.968778 +vt 0.797485 0.966004 +vt 0.795234 0.973453 +vt 0.795291 0.974128 +vt 0.798178 0.984833 +vt 0.799580 0.984097 +vt 0.794881 0.985688 +vt 0.796402 0.985309 +vt 0.793111 0.985812 +vt 0.785358 0.984833 +vt 0.787134 0.985309 +vt 0.788655 0.985688 +vt 0.790425 0.985812 +vt 0.783956 0.984097 +vt 0.792682 0.983059 +vt 0.794532 0.983013 +vt 0.787644 0.982847 +vt 0.789005 0.983013 +vt 0.795893 0.982847 +vt 0.797512 0.982574 +vt 0.790854 0.983059 +vt 0.784494 0.982128 +vt 0.786024 0.982574 +vt 0.799043 0.982128 +vt 0.797256 0.980572 +vt 0.798754 0.980227 +vt 0.786281 0.980572 +vt 0.787825 0.980627 +vt 0.792682 0.980334 +vt 0.794291 0.980474 +vt 0.789245 0.980474 +vt 0.795711 0.980627 +vt 0.790854 0.980334 +vt 0.784782 0.980227 +vt 0.796933 0.978014 +vt 0.795665 0.978263 +vt 0.795569 0.977553 +vt 0.796725 0.977393 +vt 0.790492 0.977975 +vt 0.789061 0.978244 +vt 0.788987 0.977502 +vt 0.790405 0.977060 +vt 0.786603 0.978014 +vt 0.785494 0.977470 +vt 0.785723 0.976727 +vt 0.786811 0.977393 +vt 0.798043 0.977470 +vt 0.797813 0.976727 +vt 0.787872 0.978263 +vt 0.787967 0.977553 +vt 0.794475 0.978244 +vt 0.793044 0.977975 +vt 0.793131 0.977060 +vt 0.794550 0.977502 +vt 0.788065 0.975752 +vt 0.788434 0.975685 +vt 0.795102 0.975685 +vt 0.795471 0.975752 +vt 0.795893 0.975631 +vt 0.788782 0.975343 +vt 0.787385 0.975278 +vt 0.787643 0.975631 +vt 0.796152 0.975278 +vt 0.794755 0.975343 +vt 0.795429 0.975095 +vt 0.788107 0.975095 +vt 0.797110 0.978328 +vt 0.785141 0.978050 +vt 0.786426 0.978328 +vt 0.798395 0.978050 +vt 0.708184 0.893608 +vt 0.711635 0.893536 +vt 0.711784 0.897685 +vt 0.708184 0.897788 +vt 0.711496 0.889622 +vt 0.715208 0.888962 +vt 0.715895 0.892866 +vt 0.718572 0.887920 +vt 0.719913 0.891655 +vt 0.722349 0.886526 +vt 0.723808 0.890243 +vt 0.726394 0.884960 +vt 0.727928 0.888281 +vt 0.729388 0.883599 +vt 0.730814 0.886665 +vt 0.732297 0.882391 +vt 0.733822 0.885004 +vt 0.735407 0.880792 +vt 0.736882 0.882906 +vt 0.708183 0.889659 +vt 0.716450 0.896954 +vt 0.720996 0.895550 +vt 0.725072 0.893972 +vt 0.729290 0.891675 +vt 0.732239 0.889665 +vt 0.735304 0.887912 +vt 0.738319 0.885519 +vt 0.708183 0.884730 +vt 0.710407 0.884579 +vt 0.716404 0.882817 +vt 0.719139 0.881565 +vt 0.727789 0.877252 +vt 0.731092 0.875505 +vt 0.713254 0.883817 +vt 0.722097 0.880219 +vt 0.724939 0.878862 +vt 0.704732 0.893537 +vt 0.700472 0.892868 +vt 0.701157 0.888963 +vt 0.704870 0.889623 +vt 0.696452 0.891658 +vt 0.697793 0.887922 +vt 0.692556 0.890246 +vt 0.694015 0.886528 +vt 0.688435 0.888285 +vt 0.689969 0.884962 +vt 0.685548 0.886668 +vt 0.686974 0.883601 +vt 0.682539 0.885007 +vt 0.684064 0.882393 +vt 0.679478 0.882909 +vt 0.680953 0.880795 +vt 0.699917 0.896956 +vt 0.695370 0.895554 +vt 0.691292 0.893976 +vt 0.687073 0.891679 +vt 0.704584 0.897687 +vt 0.684123 0.889669 +vt 0.681057 0.887917 +vt 0.678041 0.885522 +vt 0.697225 0.881566 +vt 0.699961 0.882818 +vt 0.685268 0.875505 +vt 0.688572 0.877251 +vt 0.703111 0.883818 +vt 0.694267 0.880220 +vt 0.691423 0.878862 +vt 0.705959 0.884580 +vt 0.712274 0.902436 +vt 0.712719 0.898276 +vt 0.717614 0.899214 +vt 0.716742 0.903211 +vt 0.721403 0.900479 +vt 0.720410 0.904314 +vt 0.725496 0.902177 +vt 0.724249 0.905811 +vt 0.729564 0.904282 +vt 0.728252 0.907619 +vt 0.732574 0.905726 +vt 0.731299 0.908865 +vt 0.735369 0.907352 +vt 0.734188 0.910338 +vt 0.738484 0.909148 +vt 0.737437 0.911873 +vt 0.708269 0.902071 +vt 0.712056 0.905715 +vt 0.708269 0.905632 +vt 0.719446 0.907365 +vt 0.723131 0.908698 +vt 0.716044 0.906323 +vt 0.708268 0.897802 +vt 0.730083 0.911607 +vt 0.733096 0.912924 +vt 0.727092 0.910205 +vt 0.736373 0.914587 +vt 0.722352 0.915375 +vt 0.719418 0.914292 +vt 0.731182 0.919932 +vt 0.728000 0.918187 +vt 0.716818 0.913336 +vt 0.725280 0.916724 +vt 0.710523 0.912072 +vt 0.708271 0.912100 +vt 0.713410 0.912447 +vt 0.704264 0.902438 +vt 0.699795 0.903213 +vt 0.698922 0.899216 +vt 0.703817 0.898277 +vt 0.696126 0.904317 +vt 0.695134 0.900481 +vt 0.692287 0.905814 +vt 0.691040 0.902179 +vt 0.688281 0.907622 +vt 0.686970 0.904283 +vt 0.685232 0.908868 +vt 0.683958 0.905726 +vt 0.682341 0.910341 +vt 0.681160 0.907353 +vt 0.679088 0.911876 +vt 0.678041 0.909148 +vt 0.704482 0.905716 +vt 0.697091 0.907369 +vt 0.693405 0.908702 +vt 0.706018 0.912073 +vt 0.700494 0.906326 +vt 0.686448 0.911612 +vt 0.683433 0.912930 +vt 0.689442 0.910210 +vt 0.680153 0.914594 +vt 0.697120 0.914299 +vt 0.694185 0.915383 +vt 0.688533 0.918197 +vt 0.685348 0.919944 +vt 0.699722 0.913341 +vt 0.691255 0.916733 +vt 0.703130 0.912451 +vt 0.735357 0.936409 +vt 0.734881 0.939635 +vt 0.729571 0.940365 +vt 0.730553 0.937768 +vt 0.748510 0.931775 +vt 0.749134 0.930768 +vt 0.753406 0.933444 +vt 0.751731 0.935515 +vt 0.717718 0.979718 +vt 0.716587 0.977024 +vt 0.718937 0.976756 +vt 0.720116 0.980353 +vt 0.724568 0.937525 +vt 0.723767 0.939860 +vt 0.747899 0.980146 +vt 0.744965 0.977942 +vt 0.744583 0.974426 +vt 0.748197 0.976450 +vt 0.721956 0.979284 +vt 0.721337 0.975950 +vt 0.724529 0.974680 +vt 0.724842 0.977710 +vt 0.745852 0.926935 +vt 0.746954 0.927270 +vt 0.747439 0.932894 +vt 0.712572 0.934901 +vt 0.715197 0.934297 +vt 0.714482 0.937059 +vt 0.711976 0.936247 +vt 0.739702 0.975972 +vt 0.739487 0.972852 +vt 0.734320 0.975594 +vt 0.729616 0.976179 +vt 0.728971 0.973464 +vt 0.733926 0.972569 +vt 0.747755 0.927260 +vt 0.740188 0.933760 +vt 0.739577 0.938068 +vt 0.718780 0.935623 +vt 0.718396 0.938460 +vt 0.743360 0.936030 +vt 0.743553 0.940399 +vt 0.739661 0.941932 +vt 0.743176 0.930020 +vt 0.710286 0.935681 +vt 0.710029 0.934506 +vt 0.714174 0.938904 +vt 0.711596 0.937643 +vt 0.745880 0.934287 +vt 0.746655 0.938835 +vt 0.744780 0.928104 +vt 0.750047 0.982905 +vt 0.750485 0.978261 +vt 0.750983 0.984185 +vt 0.751851 0.979376 +vt 0.752606 0.980240 +vt 0.751822 0.985094 +vt 0.718132 0.940634 +vt 0.734920 0.943141 +vt 0.749378 0.937279 +vt 0.723447 0.942514 +vt 0.709953 0.936933 +vt 0.729488 0.943541 +vt 0.711435 0.938773 +vt 0.711367 0.939705 +vt 0.709693 0.938660 +vt 0.709693 0.937890 +vt 0.750713 0.939791 +vt 0.753883 0.937674 +vt 0.755524 0.939214 +vt 0.751773 0.941599 +vt 0.735033 0.945366 +vt 0.739870 0.944425 +vt 0.740048 0.946305 +vt 0.735113 0.947028 +vt 0.756394 0.935147 +vt 0.758435 0.936333 +vt 0.729524 0.946903 +vt 0.729520 0.945524 +vt 0.747435 0.941480 +vt 0.748123 0.943446 +vt 0.743971 0.943048 +vt 0.744339 0.945053 +vt 0.714174 0.940246 +vt 0.718069 0.942114 +vt 0.718118 0.943276 +vt 0.714226 0.941315 +vt 0.723390 0.944245 +vt 0.723430 0.945492 +vt 0.718200 0.974177 +vt 0.720989 0.973096 +vt 0.739360 0.970448 +vt 0.744197 0.971708 +vt 0.724386 0.971989 +vt 0.728813 0.970854 +vt 0.733905 0.970194 +vt 0.753235 0.976621 +vt 0.754786 0.977962 +vt 0.747928 0.973301 +vt 0.750809 0.974966 +vt 0.715664 0.975304 +vt 0.733942 0.968477 +vt 0.728762 0.969156 +vt 0.728750 0.967904 +vt 0.733985 0.967160 +vt 0.720850 0.971724 +vt 0.720754 0.970763 +vt 0.724282 0.969322 +vt 0.724282 0.970473 +vt 0.748067 0.970971 +vt 0.744229 0.969550 +vt 0.744304 0.967886 +vt 0.748218 0.969123 +vt 0.754345 0.974639 +vt 0.755485 0.973010 +vt 0.758435 0.975980 +vt 0.756443 0.976952 +vt 0.751346 0.972679 +vt 0.752236 0.970768 +vt 0.715311 0.974481 +vt 0.715417 0.973827 +vt 0.717782 0.972389 +vt 0.717973 0.973098 +vt 0.739562 0.967160 +vt 0.739477 0.968600 +vt 0.681150 0.936409 +vt 0.685954 0.937768 +vt 0.686937 0.940365 +vt 0.681627 0.939635 +vt 0.667998 0.931775 +vt 0.664777 0.935515 +vt 0.663102 0.933444 +vt 0.667373 0.930768 +vt 0.698790 0.979718 +vt 0.696392 0.980353 +vt 0.697571 0.976756 +vt 0.699921 0.977024 +vt 0.691940 0.937525 +vt 0.692741 0.939860 +vt 0.668609 0.980146 +vt 0.668311 0.976450 +vt 0.671925 0.974426 +vt 0.671543 0.977942 +vt 0.694552 0.979284 +vt 0.691665 0.977710 +vt 0.691979 0.974680 +vt 0.695171 0.975950 +vt 0.670656 0.926935 +vt 0.669069 0.932894 +vt 0.669554 0.927270 +vt 0.703936 0.934901 +vt 0.704532 0.936247 +vt 0.702026 0.937059 +vt 0.701311 0.934297 +vt 0.676806 0.975972 +vt 0.677021 0.972852 +vt 0.682188 0.975594 +vt 0.682582 0.972569 +vt 0.687537 0.973464 +vt 0.686892 0.976179 +vt 0.668753 0.927260 +vt 0.676931 0.938068 +vt 0.676320 0.933760 +vt 0.697728 0.935623 +vt 0.698111 0.938460 +vt 0.676846 0.941932 +vt 0.672955 0.940399 +vt 0.673148 0.936030 +vt 0.673332 0.930020 +vt 0.706479 0.934506 +vt 0.706222 0.935681 +vt 0.704912 0.937643 +vt 0.702334 0.938904 +vt 0.669853 0.938835 +vt 0.670628 0.934287 +vt 0.671728 0.928104 +vt 0.666461 0.982905 +vt 0.666023 0.978261 +vt 0.665525 0.984185 +vt 0.664656 0.979376 +vt 0.664686 0.985094 +vt 0.663902 0.980240 +vt 0.698375 0.940634 +vt 0.681588 0.943141 +vt 0.667130 0.937279 +vt 0.693061 0.942514 +vt 0.706555 0.936933 +vt 0.687020 0.943541 +vt 0.705073 0.938773 +vt 0.706815 0.937890 +vt 0.706815 0.938660 +vt 0.705140 0.939705 +vt 0.665795 0.939791 +vt 0.664735 0.941599 +vt 0.660984 0.939214 +vt 0.662625 0.937674 +vt 0.681475 0.945366 +vt 0.681395 0.947028 +vt 0.676460 0.946305 +vt 0.676638 0.944425 +vt 0.658073 0.936333 +vt 0.660113 0.935147 +vt 0.686987 0.945524 +vt 0.686984 0.946903 +vt 0.669073 0.941480 +vt 0.668384 0.943446 +vt 0.672169 0.945053 +vt 0.672537 0.943048 +vt 0.702334 0.940246 +vt 0.702282 0.941315 +vt 0.698390 0.943276 +vt 0.698439 0.942114 +vt 0.693118 0.944245 +vt 0.693078 0.945492 +vt 0.695519 0.973096 +vt 0.698307 0.974177 +vt 0.672311 0.971708 +vt 0.677147 0.970448 +vt 0.687695 0.970854 +vt 0.692122 0.971989 +vt 0.682603 0.970194 +vt 0.661722 0.977962 +vt 0.663273 0.976621 +vt 0.668580 0.973301 +vt 0.665698 0.974966 +vt 0.700844 0.975304 +vt 0.682566 0.968477 +vt 0.682522 0.967160 +vt 0.687758 0.967904 +vt 0.687746 0.969156 +vt 0.695658 0.971724 +vt 0.692226 0.970473 +vt 0.692226 0.969322 +vt 0.695753 0.970763 +vt 0.668440 0.970971 +vt 0.668290 0.969123 +vt 0.672204 0.967886 +vt 0.672279 0.969550 +vt 0.662163 0.974639 +vt 0.660065 0.976952 +vt 0.658073 0.975980 +vt 0.661023 0.973010 +vt 0.664272 0.970768 +vt 0.665162 0.972679 +vt 0.701197 0.974481 +vt 0.698535 0.973098 +vt 0.698726 0.972389 +vt 0.701091 0.973827 +vt 0.677031 0.968600 +vt 0.676946 0.967160 +vt 0.646741 0.971062 +vt 0.645647 0.974389 +vt 0.644100 0.973801 +vt 0.644730 0.970665 +vt 0.642565 0.973176 +vt 0.642893 0.970379 +vt 0.641360 0.972752 +vt 0.641630 0.970292 +vt 0.642553 0.967356 +vt 0.645178 0.966992 +vt 0.641450 0.967745 +vt 0.638591 0.972417 +vt 0.638634 0.970116 +vt 0.647754 0.966853 +vt 0.637166 0.936423 +vt 0.638557 0.936435 +vt 0.639140 0.938703 +vt 0.637514 0.938937 +vt 0.637357 0.941803 +vt 0.639456 0.941614 +vt 0.639670 0.945834 +vt 0.637733 0.945888 +vt 0.637208 0.972441 +vt 0.637233 0.974237 +vt 0.635340 0.974188 +vt 0.635340 0.972434 +vt 0.641188 0.974641 +vt 0.638622 0.974256 +vt 0.638615 0.967480 +vt 0.641579 0.935865 +vt 0.642335 0.938265 +vt 0.638284 0.934516 +vt 0.641302 0.934061 +vt 0.644606 0.976788 +vt 0.643417 0.975969 +vt 0.642263 0.975177 +vt 0.636991 0.934602 +vt 0.637143 0.975844 +vt 0.635340 0.975853 +vt 0.640956 0.976146 +vt 0.638411 0.975816 +vt 0.643228 0.945915 +vt 0.642917 0.941378 +vt 0.638086 0.933003 +vt 0.640903 0.932742 +vt 0.643725 0.978596 +vt 0.642913 0.977519 +vt 0.641978 0.976660 +vt 0.636883 0.933046 +vt 0.636993 0.977345 +vt 0.635340 0.977361 +vt 0.636896 0.978654 +vt 0.636803 0.979872 +vt 0.635340 0.979937 +vt 0.635340 0.978699 +vt 0.636761 0.931836 +vt 0.636647 0.930830 +vt 0.637633 0.930774 +vt 0.637853 0.931798 +vt 0.639943 0.978827 +vt 0.639375 0.979969 +vt 0.637645 0.979800 +vt 0.637860 0.978604 +vt 0.637339 0.930040 +vt 0.638883 0.930046 +vt 0.639533 0.930793 +vt 0.641818 0.981553 +vt 0.640717 0.982526 +vt 0.640598 0.981452 +vt 0.641573 0.980318 +vt 0.640060 0.980486 +vt 0.640860 0.979326 +vt 0.636500 0.930048 +vt 0.636740 0.981080 +vt 0.635340 0.981147 +vt 0.638965 0.980725 +vt 0.637463 0.981007 +vt 0.637012 0.929433 +vt 0.638408 0.929557 +vt 0.641516 0.978017 +vt 0.640488 0.977528 +vt 0.639818 0.982933 +vt 0.639597 0.982234 +vt 0.639227 0.981319 +vt 0.636334 0.929446 +vt 0.637211 0.981982 +vt 0.636636 0.982090 +vt 0.637391 0.983058 +vt 0.636754 0.983129 +vt 0.638058 0.983694 +vt 0.637125 0.983941 +vt 0.638079 0.977315 +vt 0.642357 0.978954 +vt 0.642838 0.980201 +vt 0.640240 0.931691 +vt 0.637214 0.970134 +vt 0.635340 0.970105 +vt 0.637186 0.967438 +vt 0.635340 0.967350 +vt 0.637115 0.963805 +vt 0.635340 0.963735 +vt 0.636836 0.960333 +vt 0.635340 0.960272 +vt 0.637738 0.948868 +vt 0.635340 0.948591 +vt 0.635340 0.946067 +vt 0.635340 0.938909 +vt 0.635340 0.942121 +vt 0.641232 0.955582 +vt 0.641639 0.952936 +vt 0.645107 0.956192 +vt 0.643491 0.958088 +vt 0.641607 0.959427 +vt 0.640704 0.959799 +vt 0.639652 0.957374 +vt 0.640448 0.957001 +vt 0.638042 0.960366 +vt 0.637646 0.957178 +vt 0.639284 0.948983 +vt 0.642672 0.949591 +vt 0.638192 0.952096 +vt 0.641421 0.963511 +vt 0.638529 0.963844 +vt 0.644922 0.962051 +vt 0.642775 0.963195 +vt 0.647021 0.960902 +vt 0.635340 0.936555 +vt 0.635340 0.934676 +vt 0.635340 0.933072 +vt 0.635340 0.931858 +vt 0.635340 0.930872 +vt 0.635340 0.930058 +vt 0.635340 0.929455 +vt 0.635340 0.982189 +vt 0.635340 0.983178 +vt 0.635340 0.984100 +vt 0.636906 0.951331 +vt 0.636688 0.957105 +vt 0.635340 0.957025 +vt 0.635340 0.950957 +vt 0.623938 0.971062 +vt 0.625949 0.970665 +vt 0.626579 0.973801 +vt 0.625032 0.974389 +vt 0.627786 0.970379 +vt 0.628114 0.973176 +vt 0.629049 0.970292 +vt 0.629319 0.972752 +vt 0.625501 0.966992 +vt 0.628126 0.967356 +vt 0.629229 0.967745 +vt 0.632045 0.970116 +vt 0.632088 0.972417 +vt 0.622925 0.966853 +vt 0.633513 0.936423 +vt 0.633165 0.938937 +vt 0.631539 0.938703 +vt 0.632122 0.936435 +vt 0.633322 0.941803 +vt 0.632946 0.945888 +vt 0.631009 0.945834 +vt 0.631223 0.941614 +vt 0.633471 0.972441 +vt 0.633446 0.974237 +vt 0.632057 0.974256 +vt 0.629492 0.974641 +vt 0.632064 0.967480 +vt 0.629101 0.935865 +vt 0.628344 0.938265 +vt 0.629377 0.934061 +vt 0.632395 0.934516 +vt 0.627262 0.975969 +vt 0.626073 0.976788 +vt 0.628416 0.975177 +vt 0.633689 0.934602 +vt 0.633536 0.975844 +vt 0.632269 0.975816 +vt 0.629723 0.976146 +vt 0.627451 0.945915 +vt 0.627763 0.941378 +vt 0.629776 0.932742 +vt 0.632593 0.933003 +vt 0.627766 0.977519 +vt 0.626954 0.978596 +vt 0.628701 0.976660 +vt 0.633796 0.933046 +vt 0.633686 0.977345 +vt 0.633784 0.978654 +vt 0.633876 0.979872 +vt 0.633918 0.931836 +vt 0.632826 0.931798 +vt 0.633046 0.930774 +vt 0.634033 0.930830 +vt 0.630736 0.978827 +vt 0.632819 0.978604 +vt 0.633035 0.979800 +vt 0.631304 0.979969 +vt 0.631146 0.930793 +vt 0.631796 0.930046 +vt 0.633340 0.930040 +vt 0.628861 0.981553 +vt 0.629106 0.980318 +vt 0.630081 0.981452 +vt 0.629962 0.982526 +vt 0.629819 0.979326 +vt 0.630619 0.980486 +vt 0.634179 0.930048 +vt 0.633554 0.983941 +vt 0.633925 0.983129 +vt 0.633216 0.981007 +vt 0.631714 0.980725 +vt 0.632271 0.929557 +vt 0.633668 0.929433 +vt 0.630191 0.977528 +vt 0.629164 0.978017 +vt 0.631083 0.982234 +vt 0.630861 0.982933 +vt 0.631452 0.981319 +vt 0.634345 0.929446 +vt 0.633940 0.981080 +vt 0.634043 0.982090 +vt 0.633468 0.981982 +vt 0.633288 0.983058 +vt 0.632621 0.983694 +vt 0.632600 0.977315 +vt 0.628322 0.978954 +vt 0.627841 0.980201 +vt 0.630439 0.931691 +vt 0.633494 0.967438 +vt 0.633465 0.970134 +vt 0.633564 0.963805 +vt 0.633843 0.960333 +vt 0.632941 0.948868 +vt 0.629447 0.955582 +vt 0.627188 0.958088 +vt 0.625572 0.956192 +vt 0.629040 0.952936 +vt 0.629072 0.959427 +vt 0.630231 0.957001 +vt 0.631027 0.957374 +vt 0.629975 0.959799 +vt 0.633033 0.957178 +vt 0.632638 0.960366 +vt 0.631395 0.948983 +vt 0.632488 0.952096 +vt 0.628007 0.949591 +vt 0.629258 0.963511 +vt 0.632151 0.963844 +vt 0.625757 0.962051 +vt 0.627904 0.963195 +vt 0.623658 0.960902 +vt 0.633773 0.951331 +vt 0.633992 0.957105 +vt 0.959073 0.907783 +vt 0.959073 0.904287 +vt 0.962568 0.904287 +vt 0.962568 0.907783 +vt 0.962568 0.900792 +vt 0.966064 0.900792 +vt 0.966064 0.904287 +vt 0.969560 0.904287 +vt 0.969560 0.907783 +vt 0.966064 0.907783 +vt 0.966064 0.911279 +vt 0.962568 0.911279 +vt 0.973056 0.904287 +vt 0.973056 0.907783 +g body +s off +f 4849/1 1/2 2/3 4848/4 +f 5/5 3/6 4/7 6/8 +f 4850/9 4849/1 3/6 8/10 +f 8/10 3/6 5/5 9/11 +f 11/12 8/10 9/11 12/13 +f 4851/14 4850/9 8/10 11/12 +f 14/15 11/12 12/13 15/16 +f 4852/17 4851/14 11/12 14/15 +f 17/18 14/15 15/16 18/19 +f 4853/20 4852/17 14/15 17/18 +f 20/21 17/18 18/19 21/22 +f 4854/23 4853/20 17/18 20/21 +f 23/24 20/21 21/22 24/25 +f 4855/26 4854/23 20/21 23/24 +f 26/27 23/24 24/25 27/28 +f 4856/29 4855/26 23/24 26/27 +f 29/30 26/27 27/28 30/31 +f 4857/32 4856/29 26/27 29/30 +f 5078/33 29/30 30/31 5077/34 +f 5128/35 4857/32 29/30 5078/33 +f 38/36 35/37 36/38 39/39 +f 4860/40 4859/41 35/37 38/36 +f 4863/42 4862/43 44/44 47/45 +f 47/45 44/44 43/46 46/47 +f 4864/48 4863/42 47/45 50/49 +f 50/49 47/45 46/47 49/50 +f 5129/51 4864/48 50/49 5080/52 +f 5080/52 50/49 49/50 5082/53 +f 4866/54 4848/4 2/3 55/55 +f 57/56 6/8 4/7 56/57 +f 60/58 57/56 56/57 59/59 +f 4867/60 4866/54 55/55 58/61 +f 63/62 60/58 59/59 62/63 +f 4868/64 4867/60 58/61 61/65 +f 102/66 63/62 62/63 101/67 +f 4873/68 4868/64 61/65 103/69 +f 69/70 66/71 65/72 68/73 +f 4870/74 4869/75 64/76 67/77 +f 72/78 69/70 68/73 71/79 +f 4871/80 4870/74 67/77 70/81 +f 75/82 72/78 71/79 74/83 +f 4872/84 4871/80 70/81 73/85 +f 4886/86 39/39 36/38 4891/87 +f 5131/88 5082/53 49/50 4890/89 +f 4890/89 49/50 46/47 4888/90 +f 4888/90 4887/91 79/92 80/93 +f 5130/94 5077/34 30/31 4884/95 +f 4884/95 30/31 27/28 4882/96 +f 4882/96 27/28 24/25 4881/97 +f 4881/97 24/25 21/22 4880/98 +f 4880/98 21/22 18/19 4879/99 +f 4879/99 18/19 15/16 4878/100 +f 4899/101 12/13 9/11 4877/102 +f 4897/103 5/5 6/8 4898/104 +f 4898/104 6/8 57/56 4896/105 +f 4877/102 9/11 5/5 4897/103 +f 4875/106 60/58 63/62 4876/107 +f 4896/105 57/56 60/58 4875/106 +f 4878/100 4899/101 93/108 83/109 +f 4894/110 66/71 69/70 4895/111 +f 4895/111 69/70 72/78 4893/112 +f 4893/112 72/78 75/82 4874/113 +f 4892/114 4894/110 97/115 104/116 +f 66/71 102/66 101/67 65/72 +f 4869/75 4873/68 103/69 64/76 +f 4876/107 4892/114 104/116 96/117 +f 109/118 104/116 97/115 105/119 +f 105/119 97/115 98/120 106/121 +f 106/121 98/120 99/122 107/123 +f 107/123 99/122 100/124 108/125 +f 119/126 114/127 110/128 115/129 +f 116/130 111/131 112/132 117/133 +f 117/133 112/132 113/134 118/135 +f 115/129 110/128 111/131 116/130 +f 125/136 119/126 115/129 121/137 +f 121/137 115/129 116/130 122/138 +f 122/138 116/130 117/133 123/139 +f 123/139 117/133 118/135 124/140 +f 131/141 125/136 121/137 127/142 +f 120/143 126/144 130/145 124/140 +f 127/142 121/137 122/138 128/146 +f 128/146 122/138 123/139 129/147 +f 129/147 123/139 124/140 130/145 +f 137/148 131/141 127/142 133/149 +f 126/144 132/150 136/151 130/145 +f 133/149 127/142 128/146 134/152 +f 134/152 128/146 129/147 135/153 +f 135/153 129/147 130/145 136/151 +f 79/92 141/154 142/155 80/93 +f 143/156 81/157 80/93 142/155 +f 5085/158 5083/159 81/157 143/156 +f 139/160 77/161 76/162 138/163 +f 148/164 86/165 85/166 147/167 +f 150/168 88/169 87/170 149/171 +f 147/167 85/166 84/172 146/173 +f 149/171 87/170 86/165 148/164 +f 146/173 84/172 83/109 145/174 +f 155/175 93/108 92/176 154/177 +f 156/178 94/179 95/180 157/181 +f 154/177 92/176 90/182 152/183 +f 153/184 91/185 94/179 156/178 +f 157/181 95/180 96/117 158/186 +f 152/183 90/182 91/185 153/184 +f 109/118 158/186 96/117 104/116 +f 83/109 93/108 155/175 145/174 +f 114/127 119/126 167/187 166/188 +f 119/126 125/136 168/189 167/187 +f 125/136 131/141 169/190 168/189 +f 131/141 137/148 170/191 169/190 +f 181/192 175/193 176/194 182/195 +f 178/196 172/197 175/193 181/192 +f 179/198 173/199 171/200 177/201 +f 180/202 174/203 173/199 179/198 +f 177/201 171/200 172/197 178/196 +f 166/188 167/187 182/195 176/194 +f 195/204 187/205 186/206 194/207 +f 194/207 186/206 159/208 189/209 +f 196/210 188/211 187/205 195/204 +f 189/209 159/208 160/212 190/213 +f 190/213 160/212 161/214 191/215 +f 174/203 180/202 191/215 161/214 +f 208/216 180/202 179/198 207/217 +f 180/202 208/216 213/218 191/215 +f 206/219 178/196 181/192 209/220 +f 209/220 181/192 182/195 210/221 +f 217/222 195/204 194/207 216/223 +f 216/223 194/207 189/209 211/224 +f 218/225 196/210 195/204 217/222 +f 211/224 189/209 190/213 212/226 +f 205/227 177/201 178/196 206/219 +f 5090/228 5088/229 196/210 218/225 +f 212/226 190/213 191/215 213/218 +f 207/217 179/198 177/201 205/227 +f 167/187 168/189 210/221 182/195 +f 168/189 169/190 222/230 210/221 +f 169/190 170/191 221/231 222/230 +f 226/232 208/216 207/217 225/233 +f 225/233 207/217 205/227 223/234 +f 223/234 205/227 206/219 224/235 +f 229/236 222/230 221/231 228/237 +f 234/238 209/220 229/236 236/239 +f 230/240 223/234 224/235 231/241 +f 209/220 210/221 222/230 229/236 +f 233/242 226/232 225/233 232/243 +f 236/239 229/236 228/237 235/244 +f 232/243 225/233 223/234 230/240 +f 237/245 234/238 236/239 239/246 +f 239/246 236/239 235/244 238/247 +f 5231/248 243/249 242/250 5230/251 +f 5230/251 242/250 240/252 5232/253 +f 5232/253 240/252 241/254 5233/255 +f 259/256 218/225 217/222 258/257 +f 257/258 216/223 211/224 254/259 +f 258/257 217/222 216/223 257/258 +f 255/260 212/226 213/218 256/261 +f 5092/262 5090/228 218/225 259/256 +f 254/259 211/224 212/226 255/260 +f 262/263 255/260 256/261 263/264 +f 261/265 254/259 255/260 262/263 +f 264/266 257/258 254/259 261/265 +f 226/232 256/261 213/218 208/216 +f 226/232 233/242 263/264 256/261 +f 5234/267 266/268 267/269 5235/270 +f 5231/248 250/271 273/272 5235/270 +f 5192/273 243/249 267/269 5201/274 +f 5240/275 5234/267 272/276 872/277 +f 881/278 972/279 971/280 879/281 +f 295/282 5135/283 900/284 294/285 +f 281/286 279/287 280/288 282/289 +f 5095/290 281/286 282/289 5094/291 +f 199/292 203/293 282/289 280/288 +f 5094/291 282/289 203/293 5089/294 +f 290/295 5071/296 900/284 291/297 +f 292/298 202/299 201/300 291/297 +f 201/300 200/301 290/295 291/297 +f 5071/296 293/302 294/285 900/284 +f 5135/283 292/298 291/297 900/284 +f 198/303 204/304 5070/305 284/306 +f 200/301 199/292 280/288 290/295 +f 275/307 299/308 300/309 276/310 +f 337/311 338/312 319/313 320/314 +f 301/315 306/316 307/317 302/318 +f 299/308 304/319 305/320 300/309 +f 308/321 303/322 302/318 307/317 +f 306/316 311/323 312/324 307/317 +f 304/319 309/325 310/326 305/320 +f 313/327 308/321 307/317 312/324 +f 311/323 316/328 317/329 312/324 +f 309/325 314/330 315/331 310/326 +f 318/332 313/327 312/324 317/329 +f 334/333 361/334 360/335 286/336 +f 287/337 334/333 335/338 321/339 +f 366/340 328/341 275/307 365/342 +f 325/343 322/344 323/345 324/346 +f 326/347 325/343 324/346 327/348 +f 299/308 275/307 328/341 329/349 +f 304/319 299/308 329/349 330/350 +f 309/325 304/319 330/350 331/351 +f 314/330 309/325 331/351 332/352 +f 286/336 314/330 332/352 333/353 +f 334/333 286/336 333/353 335/338 +f 287/337 321/339 326/347 327/348 +f 319/313 327/348 324/346 320/314 +f 320/314 324/346 323/345 288/354 +f 5055/355 5053/356 297/357 298/358 +f 365/342 368/359 288/354 323/345 +f 278/360 279/287 281/286 339/361 +f 5095/290 283/362 340/363 5097/364 +f 283/362 285/365 341/366 340/363 +f 359/367 287/337 327/348 319/313 +f 5068/368 5148/369 5149/370 5069/371 +f 316/328 342/372 343/373 317/329 +f 344/374 318/332 317/329 343/373 +f 321/339 345/375 348/376 326/347 +f 345/375 321/339 335/338 355/377 +f 331/351 352/378 353/379 332/352 +f 328/341 349/380 350/381 329/349 +f 347/382 325/343 326/347 348/376 +f 329/349 350/381 351/383 330/350 +f 366/340 367/384 349/380 328/341 +f 332/352 353/379 354/385 333/353 +f 346/386 322/344 325/343 347/382 +f 355/377 335/338 333/353 354/385 +f 330/350 351/383 352/378 331/351 +f 5073/387 344/374 343/373 5072/388 +f 378/389 379/390 369/391 364/392 +f 406/393 372/394 371/395 407/396 +f 286/336 360/335 315/331 314/330 +f 361/334 334/333 287/337 359/367 +f 322/344 366/340 365/342 323/345 +f 275/307 276/310 368/359 365/342 +f 322/344 346/386 367/384 366/340 +f 405/397 374/398 372/394 406/393 +f 456/399 363/400 358/401 455/402 +f 5343/403 5073/387 5072/388 5344/404 +f 353/379 390/405 391/406 354/385 +f 384/407 347/382 348/376 385/408 +f 392/409 355/377 354/385 391/406 +f 345/375 382/410 385/408 348/376 +f 349/380 386/411 387/412 350/381 +f 350/381 387/412 388/413 351/383 +f 382/410 345/375 355/377 392/409 +f 393/414 367/384 346/386 383/415 +f 351/383 388/413 389/416 352/378 +f 367/384 393/414 386/411 349/380 +f 352/378 389/416 390/405 353/379 +f 383/415 346/386 347/382 384/407 +f 396/417 393/414 383/415 394/418 +f 394/418 383/415 384/407 395/419 +f 399/420 396/417 394/418 397/421 +f 397/421 394/418 395/419 398/422 +f 396/417 387/412 386/411 393/414 +f 384/407 385/408 382/410 395/419 +f 382/410 392/409 398/422 395/419 +f 398/422 392/409 391/406 390/405 +f 397/421 398/422 390/405 389/416 +f 399/420 397/421 389/416 388/413 +f 396/417 399/420 388/413 387/412 +f 374/398 400/423 401/424 372/394 +f 372/394 401/424 402/425 371/395 +f 364/392 369/391 408/426 409/427 +f 5345/428 5344/404 5072/388 5075/429 +f 409/427 413/430 414/431 412/432 +f 413/430 415/433 416/434 414/431 +f 499/435 417/436 418/437 498/438 +f 417/436 419/439 420/440 418/437 +f 419/439 421/441 422/442 420/440 +f 426/443 423/444 424/445 427/446 +f 501/447 426/443 427/446 502/448 +f 432/449 429/450 430/451 433/452 +f 435/453 432/449 433/452 436/454 +f 440/455 443/456 442/457 441/458 +f 447/459 446/460 445/461 438/462 +f 425/463 413/430 409/427 408/426 +f 415/433 413/430 425/463 428/464 +f 499/435 415/433 428/464 500/465 +f 419/439 417/436 431/466 434/467 +f 421/441 419/439 434/467 437/468 +f 370/469 362/470 404/471 403/472 +f 503/473 504/474 443/456 440/455 +f 438/462 445/461 444/475 439/476 +f 405/397 406/393 441/458 442/457 +f 357/477 356/478 457/479 451/480 +f 5352/481 448/482 449/483 5353/484 +f 5362/485 505/486 450/487 5354/488 +f 5346/489 5139/490 5074/491 5347/492 +f 5365/493 5341/494 411/495 5355/496 +f 507/497 506/498 454/499 460/500 +f 458/501 452/502 453/503 459/504 +f 508/505 507/497 460/500 463/506 +f 461/507 458/501 459/504 462/508 +f 509/509 508/505 463/506 466/510 +f 464/511 461/507 462/508 465/512 +f 510/513 509/509 466/510 469/514 +f 467/515 464/511 465/512 468/516 +f 5363/517 471/518 454/499 5354/488 +f 460/500 454/499 471/518 472/519 +f 463/506 460/500 472/519 473/520 +f 466/510 463/506 473/520 474/521 +f 469/514 466/510 474/521 475/522 +f 5355/496 411/495 448/482 5352/481 +f 452/502 458/501 457/479 410/523 +f 451/480 457/479 458/501 461/507 +f 461/507 464/511 455/402 451/480 +f 456/399 455/402 464/511 467/515 +f 478/524 440/455 441/458 479/525 +f 476/526 438/462 439/476 477/527 +f 511/528 503/473 440/455 478/524 +f 406/393 407/396 479/525 441/458 +f 481/529 485/530 479/525 407/396 +f 478/524 479/525 485/530 484/531 +f 511/528 478/524 484/531 512/532 +f 512/532 483/533 477/527 511/528 +f 476/526 477/527 483/533 482/534 +f 513/535 512/532 484/531 490/536 +f 490/536 484/531 485/530 491/537 +f 5337/538 5336/539 480/540 486/541 +f 481/529 487/542 491/537 485/530 +f 488/543 482/534 483/533 489/544 +f 415/433 499/435 498/438 416/434 +f 429/450 501/447 502/448 430/451 +f 417/436 499/435 500/465 431/466 +f 439/476 444/475 504/474 503/473 +f 5353/484 449/483 505/486 5362/485 +f 459/504 453/503 506/498 507/497 +f 462/508 459/504 507/497 508/505 +f 465/512 462/508 508/505 509/509 +f 468/516 465/512 509/509 510/513 +f 477/527 439/476 503/473 511/528 +f 482/534 519/545 520/546 476/526 +f 489/544 483/533 512/532 513/535 +f 519/545 482/534 488/543 518/547 +f 471/518 516/548 515/549 472/519 +f 472/519 515/549 523/550 473/520 +f 5363/517 5361/551 516/548 471/518 +f 519/545 536/552 537/553 520/546 +f 447/459 438/462 476/526 520/546 +f 474/521 522/554 521/555 475/522 +f 473/520 523/550 522/554 474/521 +f 527/556 435/453 436/454 528/557 +f 522/554 539/558 538/559 521/555 +f 525/560 421/441 437/468 529/561 +f 516/548 533/562 532/563 515/549 +f 530/564 446/460 447/459 531/565 +f 536/566 553/567 554/568 537/569 +f 523/550 540/570 539/558 522/554 +f 536/552 519/545 518/547 535/571 +f 515/549 532/563 540/570 523/550 +f 531/565 447/459 520/546 537/553 +f 5361/551 5360/572 533/562 516/548 +f 421/441 525/560 526/573 422/442 +f 539/574 556/575 555/576 538/577 +f 532/578 549/579 557/580 540/581 +f 540/581 557/580 556/575 539/574 +f 553/567 536/566 535/582 552/583 +f 5360/584 5351/585 550/586 533/587 +f 547/588 530/589 531/590 548/591 +f 542/592 525/593 529/594 546/595 +f 525/593 542/592 543/596 526/597 +f 533/587 550/586 549/579 532/578 +f 571/598 554/568 553/567 570/599 +f 548/591 531/590 537/569 554/568 +f 544/600 527/601 528/602 545/603 +f 565/604 548/591 554/568 571/598 +f 561/605 544/600 545/603 562/606 +f 556/575 573/607 572/608 555/576 +f 549/579 566/609 574/610 557/580 +f 557/580 574/610 573/607 556/575 +f 570/599 553/567 552/583 569/611 +f 5351/585 5350/612 567/613 550/586 +f 564/614 547/588 548/591 565/604 +f 559/615 542/592 546/595 563/616 +f 542/592 559/615 560/617 543/596 +f 550/586 567/613 566/609 549/579 +f 570/599 587/618 588/619 571/598 +f 605/620 588/619 587/618 604/621 +f 582/622 565/604 571/598 588/619 +f 578/623 561/605 562/606 579/624 +f 573/607 590/625 589/626 572/608 +f 566/609 583/627 591/628 574/610 +f 574/610 591/628 590/625 573/607 +f 587/618 570/599 569/611 586/629 +f 5350/612 5349/630 584/631 567/613 +f 581/632 564/614 565/604 582/622 +f 576/633 559/615 563/616 580/634 +f 559/615 576/633 577/635 560/617 +f 671/636 677/637 694/638 688/639 +f 567/613 584/631 583/627 566/609 +f 593/640 576/633 580/634 597/641 +f 576/633 593/640 594/642 577/635 +f 654/643 660/644 677/637 671/636 +f 584/631 601/645 600/646 583/627 +f 604/621 621/647 622/648 605/620 +f 599/649 582/622 588/619 605/620 +f 660/644 654/643 637/650 643/651 +f 595/652 578/623 579/624 596/653 +f 590/625 607/654 606/655 589/626 +f 643/651 637/650 620/656 626/657 +f 583/627 600/646 608/658 591/628 +f 591/628 608/658 607/654 590/625 +f 604/621 587/618 586/629 603/659 +f 5349/630 5348/660 601/645 584/631 +f 598/661 581/632 582/622 599/649 +f 607/654 624/662 623/663 606/655 +f 620/656 603/659 609/664 626/657 +f 600/646 617/665 625/666 608/658 +f 608/658 625/666 624/662 607/654 +f 621/647 604/621 603/659 620/656 +f 5348/660 5359/667 618/668 601/645 +f 615/669 598/661 599/649 616/670 +f 610/671 593/640 597/641 614/672 +f 593/640 610/671 611/673 594/642 +f 592/674 609/664 603/659 586/629 +f 601/645 618/668 617/665 600/646 +f 639/675 622/648 621/647 638/676 +f 616/670 599/649 605/620 622/648 +f 586/629 569/611 575/677 592/674 +f 612/678 595/652 596/653 613/679 +f 633/680 616/670 622/648 639/675 +f 569/611 552/583 558/681 575/677 +f 629/682 612/678 613/679 630/683 +f 624/662 641/684 640/685 623/663 +f 552/583 535/582 541/686 558/681 +f 617/665 634/687 642/688 625/666 +f 625/666 642/688 641/684 624/662 +f 638/676 621/647 620/656 637/650 +f 5359/667 5358/689 635/690 618/668 +f 632/691 615/669 616/670 633/680 +f 627/692 610/671 614/672 631/693 +f 610/671 627/692 628/694 611/673 +f 535/571 518/547 524/695 541/696 +f 618/668 635/690 634/687 617/665 +f 639/675 638/676 655/697 656/698 +f 672/699 673/700 656/698 655/697 +f 650/701 633/680 639/675 656/698 +f 518/547 488/543 494/702 524/695 +f 646/703 629/682 630/683 647/704 +f 641/684 658/705 657/706 640/685 +f 488/543 489/544 495/707 494/702 +f 634/687 651/708 659/709 642/688 +f 642/688 659/709 658/705 641/684 +f 655/697 638/676 637/650 654/643 +f 5358/689 5357/710 652/711 635/690 +f 649/712 632/691 633/680 650/701 +f 644/713 627/692 631/693 648/714 +f 627/692 644/713 645/715 628/694 +f 514/716 495/707 489/544 513/535 +f 635/690 652/711 651/708 634/687 +f 658/705 675/717 674/718 657/706 +f 513/535 490/536 496/719 514/716 +f 651/708 668/720 676/721 659/709 +f 659/709 676/721 675/717 658/705 +f 672/699 655/697 654/643 671/636 +f 5357/710 5356/722 669/723 652/711 +f 666/724 649/712 650/701 667/725 +f 661/726 644/713 648/714 665/727 +f 644/713 661/726 662/728 645/715 +f 490/536 491/537 497/729 496/719 +f 652/711 669/723 668/720 651/708 +f 689/730 690/731 673/700 672/699 +f 667/725 650/701 656/698 673/700 +f 493/732 497/729 491/537 487/542 +f 663/733 646/703 647/704 664/734 +f 678/735 661/726 665/727 682/736 +f 661/726 678/735 679/737 662/728 +f 669/723 686/738 685/739 668/720 +f 684/740 667/725 673/700 690/731 +f 680/741 663/733 664/734 681/742 +f 675/717 692/743 691/744 674/718 +f 668/720 685/739 693/745 676/721 +f 676/721 693/745 692/743 675/717 +f 689/730 672/699 671/636 688/639 +f 5356/722 5367/746 686/738 669/723 +f 683/747 666/724 667/725 684/740 +f 700/748 683/747 684/740 701/749 +f 706/750 707/751 690/731 689/730 +f 688/639 694/638 711/752 705/753 +f 695/754 678/735 682/736 699/755 +f 678/735 695/754 696/756 679/737 +f 687/757 679/737 696/756 704/758 +f 701/749 684/740 690/731 707/751 +f 697/759 680/741 681/742 698/760 +f 692/743 709/761 708/762 691/744 +f 685/739 702/763 710/764 693/745 +f 693/745 710/764 709/761 692/743 +f 689/730 688/639 705/753 706/750 +f 5367/746 5366/765 703/766 686/738 +f 703/766 702/763 685/739 686/738 +f 5366/765 704/758 696/756 695/754 +f 700/748 701/749 695/767 699/768 +f 5233/255 241/254 251/769 5246/770 +f 724/771 486/541 480/540 723/772 +f 713/773 726/774 381/775 380/776 +f 400/423 730/777 731/778 401/424 +f 403/472 404/471 424/445 423/444 +f 731/778 722/779 402/425 401/424 +f 727/780 728/781 747/782 745/783 +f 742/784 894/785 895/786 741/787 +f 750/788 746/789 749/790 751/791 +f 752/792 750/788 751/791 753/793 +f 754/794 752/792 753/793 755/795 +f 756/796 754/794 755/795 757/797 +f 758/798 756/796 757/797 759/799 +f 760/800 758/798 759/799 761/801 +f 764/802 762/803 763/804 765/805 +f 766/806 764/802 765/805 767/807 +f 768/808 766/806 767/807 769/809 +f 770/810 768/808 769/809 771/811 +f 772/812 770/810 771/811 773/813 +f 774/814 772/812 773/813 775/815 +f 741/787 895/786 896/816 740/817 +f 991/818 783/819 782/820 990/821 +f 783/822 787/823 786/824 782/825 +f 787/823 791/826 790/827 786/824 +f 791/826 796/828 794/829 790/827 +f 801/830 809/831 815/832 795/833 +f 808/834 802/835 809/831 803/836 +f 796/828 802/835 800/837 794/829 +f 802/835 808/834 806/838 800/837 +f 807/839 803/836 809/831 801/830 +f 802/835 796/828 815/832 809/831 +f 808/834 814/840 812/841 806/838 +f 795/833 1038/842 793/843 799/844 +f 800/837 806/838 810/845 804/846 +f 813/847 797/848 803/836 807/839 +f 772/812 774/814 780/849 779/850 +f 770/810 772/812 779/850 778/851 +f 768/808 770/810 778/851 777/852 +f 786/824 790/827 792/853 788/854 +f 743/855 893/856 894/785 742/784 +f 250/271 5231/248 5230/251 249/857 +f 746/789 750/788 765/805 763/804 +f 750/788 752/792 767/807 765/805 +f 752/792 754/794 769/809 767/807 +f 754/794 756/796 771/811 769/809 +f 756/796 758/798 773/813 771/811 +f 758/798 760/800 775/815 773/813 +f 751/791 818/858 819/859 753/793 +f 759/799 822/860 823/861 761/801 +f 757/797 821/862 822/860 759/799 +f 755/795 820/863 821/862 757/797 +f 753/793 819/859 820/863 755/795 +f 818/864 824/865 825/866 819/867 +f 822/860 828/868 829/869 823/861 +f 819/867 825/866 826/870 820/871 +f 820/863 826/872 827/873 821/862 +f 821/862 827/873 828/868 822/860 +f 824/865 830/874 831/875 825/866 +f 828/868 834/876 835/877 829/869 +f 825/866 831/875 832/878 826/870 +f 826/872 832/879 833/880 827/873 +f 827/873 833/880 834/876 828/868 +f 830/874 836/881 837/882 831/875 +f 834/876 840/883 841/884 835/877 +f 831/875 837/882 838/885 832/878 +f 832/879 838/886 839/887 833/880 +f 833/880 839/887 840/883 834/876 +f 836/881 842/888 843/889 837/882 +f 840/883 846/890 847/891 841/884 +f 837/882 843/889 844/892 838/885 +f 838/886 844/893 845/894 839/887 +f 839/887 845/894 846/890 840/883 +f 842/888 848/895 849/896 843/889 +f 846/890 852/897 853/898 847/891 +f 843/889 849/896 850/899 844/892 +f 844/893 850/900 851/901 845/894 +f 845/894 851/901 852/897 846/890 +f 1019/902 854/903 855/904 1020/905 +f 1033/906 858/907 859/908 1018/909 +f 1020/905 855/904 856/910 1032/911 +f 1032/912 856/913 857/914 1031/915 +f 1031/915 857/914 858/907 1033/906 +f 969/916 863/917 5372/918 1050/919 +f 1050/919 5372/918 5371/920 1022/921 +f 967/922 5368/923 862/924 968/925 +f 1008/926 5370/927 864/928 965/929 +f 968/925 862/924 863/917 969/916 +f 965/929 864/928 865/930 966/931 +f 5236/932 5237/933 868/934 869/935 +f 5237/933 5238/936 871/937 868/934 +f 976/938 978/939 979/940 988/941 +f 5247/942 5236/932 869/935 5099/943 +f 937/944 944/945 945/946 938/947 +f 5238/936 5240/275 872/277 871/937 +f 878/948 975/949 972/279 881/278 +f 978/939 976/938 975/949 878/948 +f 945/946 946/950 939/951 938/947 +f 5241/952 5242/953 896/816 895/786 +f 751/791 749/790 886/954 818/858 +f 824/865 818/864 886/955 887/956 +f 830/874 824/865 887/956 888/957 +f 836/881 830/874 888/957 889/958 +f 842/888 836/881 889/958 890/959 +f 848/895 842/888 890/959 891/960 +f 220/961 214/962 902/963 903/964 +f 5084/965 88/169 150/168 5086/966 +f 139/160 138/163 904/967 184/968 +f 5100/969 905/970 151/971 5086/966 +f 5100/969 188/211 196/210 5088/229 +f 906/972 184/968 904/967 907/973 +f 902/963 214/962 906/972 907/973 +f 145/174 155/175 174/203 161/214 +f 148/164 147/167 159/208 186/206 +f 109/118 105/119 110/128 114/127 +f 150/168 149/171 187/205 188/211 +f 156/178 157/181 176/194 175/193 +f 106/121 107/123 112/132 111/131 +f 152/183 153/184 172/197 171/200 +f 146/173 145/174 161/214 160/212 +f 105/119 106/121 111/131 110/128 +f 149/171 148/164 186/206 187/205 +f 157/181 158/186 166/188 176/194 +f 153/184 156/178 175/193 172/197 +f 155/175 154/177 173/199 174/203 +f 114/127 166/188 158/186 109/118 +f 147/167 146/173 160/212 159/208 +f 154/177 152/183 171/200 173/199 +f 107/123 108/125 113/134 112/132 +f 740/817 896/816 913/974 912/975 +f 5242/953 5243/976 913/974 896/816 +f 790/827 794/829 798/977 792/853 +f 804/846 798/977 794/829 800/837 +f 806/838 812/841 816/978 810/845 +f 728/781 727/780 920/979 919/980 +f 915/981 917/982 923/983 922/984 +f 921/985 914/986 922/984 923/983 +f 892/987 923/983 917/982 918/988 +f 892/987 744/989 921/985 923/983 +f 785/990 789/991 925/992 924/993 +f 815/832 1039/994 1038/842 795/833 +f 796/828 791/826 1039/994 815/832 +f 808/834 803/836 797/848 814/840 +f 811/995 817/996 813/847 807/839 +f 805/997 811/995 807/839 801/830 +f 801/830 795/833 799/844 805/997 +f 924/993 925/992 926/998 927/999 +f 995/1000 994/1001 914/986 921/985 +f 995/1000 996/1002 785/1003 924/1004 +f 916/1005 738/1006 894/785 893/856 +f 1035/1007 928/1008 776/1009 1034/1010 +f 777/852 778/851 930/1011 929/1012 +f 778/851 779/850 931/1013 930/1011 +f 779/850 780/849 932/1014 931/1013 +f 1000/1015 1002/1016 762/1017 776/1018 +f 998/1019 997/1020 749/1021 746/1022 +f 1001/1023 1000/1015 776/1018 928/1024 +f 998/1019 999/1025 740/817 912/975 +f 1002/1016 999/1025 763/1026 762/1017 +f 993/1027 886/955 749/1021 997/1020 +f 964/1028 861/1029 5370/927 1008/926 +f 874/1030 866/1031 861/1029 964/1028 +f 5098/1032 5099/943 869/935 860/1033 +f 1022/921 5371/920 5369/1034 970/1035 +f 966/931 865/930 5368/923 967/922 +f 912/975 913/974 870/1036 867/1037 +f 960/1038 5378/1039 5375/1040 961/1041 +f 1003/1042 887/956 886/955 993/1027 +f 5284/1043 5285/1044 935/1045 1024/1046 +f 5547/1047 1044/1048 1029/1049 5546/1050 +f 5548/1051 941/1052 1044/1048 5547/1047 +f 5281/1053 5282/1054 891/960 890/959 +f 5280/1055 5281/1053 890/959 889/958 +f 5279/1056 5280/1055 889/958 888/957 +f 5286/1057 5279/1056 888/957 887/956 +f 1040/1058 848/895 891/960 1043/1059 +f 945/946 952/1060 953/1061 946/950 +f 1028/1062 1027/1063 956/1064 949/1065 +f 944/945 951/1066 952/1060 945/946 +f 947/1067 954/1068 955/1069 948/1070 +f 1005/1071 1006/1072 951/1066 944/945 +f 946/950 953/1061 954/1068 947/1067 +f 5392/1073 1007/1074 958/1075 5385/1076 +f 5388/1077 960/1038 961/1041 5387/1078 +f 5389/1079 959/1080 960/1038 5388/1077 +f 5393/1081 1023/1082 963/1083 5390/1084 +f 5385/1076 958/1075 959/1080 5389/1079 +f 5387/1078 961/1041 962/1085 5391/1086 +f 5375/1040 968/925 969/916 5374/1087 +f 5381/1088 1008/926 965/929 5376/1089 +f 5378/1039 967/922 968/925 5375/1040 +f 5379/1090 966/931 967/922 5378/1039 +f 5382/1091 1022/921 970/1035 5380/1092 +f 5376/1089 965/929 966/931 5379/1090 +f 1030/1093 883/1094 882/1095 1025/1096 +f 973/1097 884/1098 971/280 972/279 +f 249/857 247/1099 981/1100 977/1101 +f 974/1102 274/1103 273/272 250/271 +f 974/1102 250/271 249/857 977/1101 +f 1053/1104 1051/1105 879/281 971/280 +f 946/950 947/1067 940/1106 939/951 +f 947/1067 948/1070 941/1052 940/1106 +f 5245/1107 253/1108 252/1109 5244/1110 +f 981/1100 247/1099 248/1111 982/1112 +f 5246/770 251/769 253/1108 5245/1107 +f 5552/1113 974/1102 977/1101 5549/1114 +f 5552/1113 5553/1115 274/1103 974/1102 +f 941/1052 948/1070 1049/1116 1044/1048 +f 989/1117 986/1118 976/938 988/941 +f 986/1118 987/1119 975/949 976/938 +f 5549/1114 977/1101 981/1100 5550/1120 +f 747/782 991/818 990/821 745/783 +f 1044/1048 1049/1116 1028/1062 1029/1049 +f 924/1004 927/1121 994/1001 995/1000 +f 921/985 744/989 996/1002 995/1000 +f 742/784 741/787 1002/1016 1000/1015 +f 912/975 739/1122 997/1020 998/1019 +f 743/855 742/784 1000/1015 1001/1023 +f 746/1022 763/1026 999/1025 998/1019 +f 741/787 740/817 999/1025 1002/1016 +f 885/1123 993/1027 997/1020 739/1122 +f 934/1124 1003/1042 993/1027 885/1123 +f 5278/1125 5286/1057 887/956 1003/1042 +f 943/1126 950/1127 1006/1072 1005/1071 +f 5386/1128 957/1129 1007/1074 5392/1073 +f 5377/1130 964/1028 1008/926 5381/1088 +f 986/1118 1011/1131 1010/1132 987/1119 +f 986/1118 989/1117 1012/1133 1011/1131 +f 1029/1049 1028/1062 949/1065 942/1134 +f 987/1119 1010/1132 1013/1135 973/1097 +f 5557/1136 1015/1137 1016/1138 5555/1139 +f 1045/1140 1032/912 1031/915 1052/1141 +f 882/1095 880/1142 1026/1143 1025/1096 +f 5559/1144 5560/1145 936/1146 1004/1147 +f 1042/1148 884/1098 1017/1149 1055/1150 +f 231/241 224/235 234/238 237/245 +f 1015/1137 985/1151 984/1152 1016/1138 +f 1049/1116 1048/1153 1027/1063 1028/1062 +f 884/1098 973/1097 1013/1135 1017/1149 +f 1054/1154 1020/905 1032/911 1045/1155 +f 5383/1156 1050/919 1022/921 5382/1091 +f 987/1119 973/1097 972/279 975/949 +f 1021/1157 1014/1158 883/1094 1030/1093 +f 1041/1159 1033/906 1018/909 1046/1160 +f 1040/1058 1019/902 1020/905 1054/1154 +f 5394/1161 1047/1162 1023/1082 5393/1081 +f 854/903 1019/902 1024/1046 935/1045 +f 1052/1141 1031/915 1033/906 1041/1159 +f 1042/1148 1030/1093 1025/1096 1053/1104 +f 5550/1120 5556/1163 1017/1149 1013/1135 +f 206/219 209/220 234/238 224/235 +f 371/395 402/425 480/540 5336/539 +f 723/772 480/540 402/425 722/779 +f 5337/538 486/541 492/1164 5338/1165 +f 486/541 724/771 725/1166 492/1164 +f 915/981 922/984 728/781 919/980 +f 922/984 914/986 747/782 728/781 +f 991/818 747/782 914/986 994/1001 +f 994/1001 927/1121 783/819 991/818 +f 787/823 783/822 927/999 926/998 +f 782/825 786/824 788/854 784/1167 +f 990/821 782/820 784/1168 992/1169 +f 992/1169 781/1170 745/783 990/821 +f 781/1170 748/1171 727/780 745/783 +f 920/979 727/780 748/1171 733/1172 +f 5133/1173 5308/1174 910/1175 5248/1176 +f 5296/1177 918/988 917/982 5295/1178 +f 5295/1178 917/982 915/981 5294/1179 +f 5294/1179 915/981 919/980 5293/1180 +f 5293/1180 919/980 920/979 5292/1181 +f 283/362 284/306 5070/305 285/365 +f 1037/1182 1035/1007 1034/1010 1036/1183 +f 762/803 764/802 1034/1010 776/1009 +f 764/802 766/806 1036/1183 1034/1010 +f 925/992 789/991 793/843 1038/842 +f 926/998 925/992 1038/842 1039/994 +f 791/826 787/823 926/998 1039/994 +f 1037/1182 1036/1183 777/852 929/1012 +f 766/806 768/808 777/852 1036/1183 +f 950/1127 943/1126 876/1184 877/1185 +f 5384/1186 875/1187 957/1129 5386/1128 +f 1007/1074 5381/1088 5376/1089 958/1075 +f 985/1151 1015/1137 227/1188 983/1189 +f 983/1189 227/1188 982/1112 248/1111 +f 1019/902 1040/1058 1043/1059 1024/1046 +f 1025/1096 1026/1143 1051/1105 1053/1104 +f 850/900 1045/1140 1052/1141 851/901 +f 1030/1093 1042/1148 1055/1150 1021/1157 +f 948/1070 955/1069 1048/1153 1049/1116 +f 849/896 1054/1154 1045/1155 850/899 +f 5374/1087 969/916 1050/919 5383/1156 +f 852/897 1041/1159 1046/1160 853/898 +f 848/895 1040/1058 1054/1154 849/896 +f 5391/1086 962/1085 1047/1162 5394/1161 +f 851/901 1052/1141 1041/1159 852/897 +f 884/1098 1042/1148 1053/1104 971/280 +f 5557/1136 1021/1157 1055/1150 5561/1190 +f 5561/1190 1055/1150 1017/1149 5556/1163 +f 6758/1191 1056/1192 1057/1193 6757/1194 +f 6760/1195 16/1196 19/1197 6759/1198 +f 6761/1199 13/1200 16/1196 6760/1195 +f 6762/1201 10/1202 13/1200 6761/1199 +f 6763/1203 7/1204 10/1202 6762/1201 +f 6764/1205 55/55 2/3 6757/1194 +f 6766/1206 73/85 70/81 6765/1207 +f 6769/1208 1081/1209 1077/1210 6768/1211 +f 6765/1207 70/81 67/77 6770/1212 +f 6783/1213 5081/1214 54/1215 6767/1216 +f 6770/1212 67/77 64/76 6768/1211 +f 6773/1217 48/1218 51/1219 6772/1220 +f 6769/1208 103/69 61/65 6774/1221 +f 6775/1222 45/1223 48/1218 6773/1217 +f 6774/1221 61/65 58/61 6776/1224 +f 6776/1224 58/61 55/55 6764/1205 +f 6779/1225 34/1226 37/1227 6778/1228 +f 6784/1229 5079/1230 31/1231 6771/1232 +f 6781/1233 25/1234 28/1235 6780/1236 +f 6758/1191 1/2 7/1204 6763/1203 +f 6782/1237 22/1238 25/1234 6781/1233 +f 6759/1198 19/1197 22/1238 6782/1237 +f 1096/1239 1070/1240 1071/1241 1097/1242 +f 1093/1243 1067/1244 1068/1245 1094/1246 +f 1088/1247 1062/1248 1063/1249 1089/1250 +f 1082/1251 1056/1192 1058/1252 1084/1253 +f 1102/1254 1076/1255 1075/1256 1101/1257 +f 1097/1242 1071/1241 1072/1258 1098/1259 +f 1089/1250 1063/1249 1064/1260 1090/1261 +f 1084/1253 1058/1252 1059/1262 1085/1263 +f 1081/1209 1107/1264 1103/1265 1077/1210 +f 1107/1264 1081/1209 1076/1255 1102/1254 +f 5105/1266 5103/1267 1073/1268 1099/1269 +f 1090/1261 1064/1260 1065/1270 1091/1271 +f 1085/1263 1059/1262 1060/1272 1086/1273 +f 1104/1274 1078/1275 1077/1210 1103/1265 +f 5104/1276 5102/1277 1066/1278 1092/1279 +f 1086/1273 1060/1272 1061/1280 1087/1281 +f 1105/1282 1079/1283 1078/1275 1104/1274 +f 1100/1284 1074/1285 1057/1193 1083/1286 +f 1087/1281 1061/1280 1062/1248 1088/1247 +f 1056/1192 1082/1251 1083/1286 1057/1193 +f 1106/1287 1080/1288 1079/1283 1105/1282 +f 1101/1257 1075/1256 1074/1285 1100/1284 +f 1127/1289 1101/1290 1100/1291 1126/1292 +f 1122/1293 1096/1294 1097/1295 1123/1296 +f 1119/1297 1093/1298 1094/1299 1120/1300 +f 1114/1301 1088/1302 1089/1303 1115/1304 +f 1108/1305 1082/1306 1084/1307 1110/1308 +f 1128/1309 1102/1310 1101/1290 1127/1289 +f 1123/1296 1097/1295 1098/1311 1124/1312 +f 1115/1304 1089/1303 1090/1313 1116/1314 +f 1110/1308 1084/1307 1085/1315 1111/1316 +f 1107/1317 1133/1318 1129/1319 1103/1320 +f 1133/1318 1107/1317 1102/1310 1128/1309 +f 5107/1321 5105/1322 1099/1323 1125/1324 +f 1116/1314 1090/1313 1091/1325 1117/1326 +f 1111/1316 1085/1315 1086/1327 1112/1328 +f 1130/1329 1104/1330 1103/1320 1129/1319 +f 5106/1331 5104/1332 1092/1333 1118/1334 +f 1112/1328 1086/1327 1087/1335 1113/1336 +f 1131/1337 1105/1338 1104/1330 1130/1329 +f 1126/1292 1100/1291 1083/1339 1109/1340 +f 1113/1336 1087/1335 1088/1302 1114/1301 +f 1082/1306 1108/1305 1109/1340 1083/1339 +f 1132/1341 1106/1342 1105/1338 1131/1337 +f 1157/1343 1131/1337 1130/1329 1156/1344 +f 1152/1345 1126/1292 1109/1340 1135/1346 +f 1139/1347 1113/1336 1114/1301 1140/1348 +f 1108/1305 1134/1349 1135/1346 1109/1340 +f 1158/1350 1132/1341 1131/1337 1157/1343 +f 1153/1351 1127/1289 1126/1292 1152/1345 +f 1148/1352 1122/1293 1123/1296 1149/1353 +f 1145/1354 1119/1297 1120/1300 1146/1355 +f 1140/1348 1114/1301 1115/1304 1141/1356 +f 1134/1349 1108/1305 1110/1308 1136/1357 +f 1154/1358 1128/1309 1127/1289 1153/1351 +f 1149/1353 1123/1296 1124/1312 1150/1359 +f 1141/1356 1115/1304 1116/1314 1142/1360 +f 1136/1357 1110/1308 1111/1316 1137/1361 +f 1133/1318 1159/1362 1155/1363 1129/1319 +f 1159/1362 1133/1318 1128/1309 1154/1358 +f 5109/1364 5107/1321 1125/1324 1151/1365 +f 1142/1360 1116/1314 1117/1326 1143/1366 +f 1137/1361 1111/1316 1112/1328 1138/1367 +f 1156/1344 1130/1329 1129/1319 1155/1363 +f 5108/1368 5106/1331 1118/1334 1144/1369 +f 1138/1367 1112/1328 1113/1336 1139/1347 +f 1160/1370 1134/1349 1136/1357 1162/1371 +f 1180/1372 1154/1358 1153/1351 1179/1373 +f 1175/1374 1149/1353 1150/1359 1176/1375 +f 1167/1376 1141/1356 1142/1360 1168/1377 +f 1162/1371 1136/1357 1137/1361 1163/1378 +f 1159/1362 1185/1379 1181/1380 1155/1363 +f 1185/1379 1159/1362 1154/1358 1180/1372 +f 5111/1381 5109/1364 1151/1365 1177/1382 +f 1168/1377 1142/1360 1143/1366 1169/1383 +f 1163/1378 1137/1361 1138/1367 1164/1384 +f 1182/1385 1156/1344 1155/1363 1181/1380 +f 5110/1386 5108/1368 1144/1369 1170/1387 +f 1164/1384 1138/1367 1139/1347 1165/1388 +f 1183/1389 1157/1343 1156/1344 1182/1385 +f 1178/1390 1152/1345 1135/1346 1161/1391 +f 1165/1388 1139/1347 1140/1348 1166/1392 +f 1134/1349 1160/1370 1161/1391 1135/1346 +f 1184/1393 1158/1350 1157/1343 1183/1389 +f 1179/1373 1153/1351 1152/1345 1178/1390 +f 1174/1394 1148/1352 1149/1353 1175/1374 +f 1171/1395 1145/1354 1146/1355 1172/1396 +f 1166/1392 1140/1348 1141/1356 1167/1376 +f 1160/1370 1186/1397 1187/1398 1161/1391 +f 1210/1399 1184/1393 1183/1389 1209/1400 +f 1205/1401 1179/1373 1178/1390 1204/1402 +f 1200/1403 1174/1394 1175/1374 1201/1404 +f 1197/1405 1171/1395 1172/1396 1198/1406 +f 1192/1407 1166/1392 1167/1376 1193/1408 +f 1186/1397 1160/1370 1162/1371 1188/1409 +f 1206/1410 1180/1372 1179/1373 1205/1401 +f 1201/1404 1175/1374 1176/1375 1202/1411 +f 1193/1408 1167/1376 1168/1377 1194/1412 +f 1188/1409 1162/1371 1163/1378 1189/1413 +f 1185/1379 1211/1414 1207/1415 1181/1380 +f 1211/1414 1185/1379 1180/1372 1206/1410 +f 5113/1416 5111/1381 1177/1382 1203/1417 +f 1194/1412 1168/1377 1169/1383 1195/1418 +f 1189/1413 1163/1378 1164/1384 1190/1419 +f 1208/1420 1182/1385 1181/1380 1207/1415 +f 5112/1421 5110/1386 1170/1387 1196/1422 +f 1190/1419 1164/1384 1165/1388 1191/1423 +f 1209/1400 1183/1389 1182/1385 1208/1420 +f 1204/1402 1178/1390 1161/1391 1187/1398 +f 1191/1423 1165/1388 1166/1392 1192/1407 +f 1216/1424 1190/1419 1191/1423 1217/1425 +f 1191/1423 1192/1407 1229/1426 1217/1425 +f 1192/1407 1193/1408 1218/1427 1229/1426 +f 1194/1412 1195/1418 1226/1428 1219/1429 +f 1236/1430 1210/1399 1209/1400 1235/1431 +f 5112/1421 1196/1422 1221/1432 5114/1433 +f 1197/1405 1198/1406 1223/1434 1222/1435 +f 1200/1403 1201/1404 1220/1436 1225/1437 +f 1212/1438 1186/1397 1188/1409 1214/1439 +f 1201/1404 1202/1411 1227/1440 1220/1436 +f 1204/1402 1231/1441 1230/1442 1205/1401 +f 1218/1427 1193/1408 1194/1412 1219/1429 +f 1209/1400 1208/1420 1213/1443 1235/1431 +f 1211/1414 1237/1444 1233/1445 1207/1415 +f 1208/1420 1207/1415 1233/1445 1213/1443 +f 5115/1446 5113/1416 1203/1417 1228/1447 +f 1211/1414 1206/1410 1215/1448 1237/1444 +f 1206/1410 1205/1401 1230/1442 1215/1448 +f 1204/1402 1187/1398 1234/1449 1231/1441 +f 1212/1438 1234/1449 1187/1398 1186/1397 +f 1188/1409 1189/1413 1232/1450 1214/1439 +f 1189/1413 1190/1419 1216/1424 1232/1450 +f 1196/1422 1197/1405 1222/1435 1221/1432 +f 1171/1395 1197/1405 1196/1422 1170/1387 +f 1145/1354 1171/1395 1170/1387 1144/1369 +f 1144/1369 1118/1334 1119/1297 1145/1354 +f 1216/1424 1242/1451 1258/1452 1232/1450 +f 1237/1444 1263/1453 1259/1454 1233/1445 +f 1215/1448 1241/1455 1263/1453 1237/1444 +f 5115/1446 5117/1456 1253/1457 1227/1440 +f 1220/1436 1246/1458 1251/1459 1225/1437 +f 1231/1441 1257/1460 1256/1461 1230/1442 +f 1226/1428 1252/1462 1245/1463 1219/1429 +f 1214/1439 1240/1464 1238/1465 1212/1438 +f 1230/1442 1256/1461 1241/1455 1215/1448 +f 5114/1433 5116/1466 1252/1462 1226/1428 +f 1217/1425 1243/1467 1242/1451 1216/1424 +f 1232/1450 1258/1452 1240/1464 1214/1439 +f 1234/1449 1260/1468 1257/1460 1231/1441 +f 1213/1443 1239/1469 1261/1470 1235/1431 +f 1223/1434 1249/1471 1248/1472 1222/1435 +f 1229/1426 1255/1473 1243/1467 1217/1425 +f 1235/1431 1261/1470 1262/1474 1236/1430 +f 1233/1445 1259/1454 1239/1469 1213/1443 +f 1227/1440 1253/1457 1246/1458 1220/1436 +f 1218/1427 1244/1475 1255/1473 1229/1426 +f 1212/1438 1238/1465 1260/1468 1234/1449 +f 1222/1435 1248/1472 1247/1476 1221/1432 +f 1219/1429 1245/1463 1244/1475 1218/1427 +f 5116/1466 5118/1477 1278/1478 1252/1462 +f 1243/1467 1269/1479 1268/1480 1242/1451 +f 1257/1460 1283/1481 1282/1482 1256/1461 +f 1261/1470 1287/1483 1288/1484 1262/1474 +f 1239/1469 1265/1485 1287/1483 1261/1470 +f 1249/1471 1275/1486 1274/1487 1248/1472 +f 1255/1473 1281/1488 1269/1479 1243/1467 +f 1238/1465 1264/1489 1286/1490 1260/1468 +f 1259/1454 1285/1491 1265/1485 1239/1469 +f 1253/1457 1279/1492 1272/1493 1246/1458 +f 1244/1475 1270/1494 1281/1488 1255/1473 +f 1263/1453 1289/1495 1285/1491 1259/1454 +f 1241/1455 1267/1496 1289/1495 1263/1453 +f 1248/1472 1274/1487 1273/1497 1247/1476 +f 1245/1463 1271/1498 1270/1494 1244/1475 +f 1258/1452 1284/1499 1266/1500 1240/1464 +f 1256/1461 1282/1482 1267/1496 1241/1455 +f 5117/1456 5119/1501 1279/1492 1253/1457 +f 1246/1458 1272/1493 1277/1502 1251/1459 +f 1252/1462 1278/1478 1271/1498 1245/1463 +f 1240/1464 1266/1500 1264/1489 1238/1465 +f 1242/1451 1268/1480 1284/1499 1258/1452 +f 1260/1468 1286/1490 1283/1481 1257/1460 +f 1265/1485 1291/1503 1313/1504 1287/1483 +f 1275/1486 1301/1505 1300/1506 1274/1487 +f 1281/1488 1307/1507 1295/1508 1269/1479 +f 1264/1489 1290/1509 1312/1510 1286/1490 +f 1285/1491 1311/1511 1291/1503 1265/1485 +f 1279/1492 1305/1512 1298/1513 1272/1493 +f 1270/1494 1296/1514 1307/1507 1281/1488 +f 1289/1495 1315/1515 1311/1511 1285/1491 +f 1267/1496 1293/1516 1315/1515 1289/1495 +f 1274/1487 1300/1506 1299/1517 1273/1497 +f 1271/1498 1297/1518 1296/1514 1270/1494 +f 1284/1499 1310/1519 1292/1520 1266/1500 +f 1282/1482 1308/1521 1293/1516 1267/1496 +f 5119/1501 5121/1522 1305/1512 1279/1492 +f 1272/1493 1298/1513 1303/1523 1277/1502 +f 1278/1478 1304/1524 1297/1518 1271/1498 +f 1266/1500 1292/1520 1290/1509 1264/1489 +f 1268/1480 1294/1525 1310/1519 1284/1499 +f 1286/1490 1312/1510 1309/1526 1283/1481 +f 5118/1477 5120/1527 1304/1524 1278/1478 +f 1269/1479 1295/1508 1294/1525 1268/1480 +f 1283/1481 1309/1526 1308/1521 1282/1482 +f 1287/1483 1313/1504 1314/1528 1288/1484 +f 5309/1529 1352/1530 1351/1531 1316/1532 +f 1335/1533 1332/1534 1320/1535 1347/1536 +f 1343/1537 1324/1538 5315/1539 5124/1540 +f 5314/1541 5123/1542 5122/1543 5313/1544 +f 1348/1545 1319/1546 1318/1547 1349/1548 +f 5123/1542 5314/1541 1326/1549 1341/1550 +f 1319/1546 1348/1545 1353/1551 5310/1552 +f 1316/1532 1351/1531 1350/1553 1317/1554 +f 1325/1555 1342/1556 1339/1557 1328/1558 +f 5313/1544 5122/1543 1344/1559 1323/1560 +f 5318/1561 5127/1562 5125/1563 5316/1564 +f 1322/1565 1345/1566 1337/1567 1330/1568 +f 1324/1538 1343/1537 1342/1556 1325/1555 +f 5310/1552 1353/1551 1346/1569 1321/1570 +f 1330/1568 1337/1567 1338/1571 1329/1572 +f 1355/1573 5312/1574 1323/1560 1344/1559 +f 1333/1575 1334/1576 1345/1566 1322/1565 +f 1332/1534 1335/1533 1352/1530 5309/1529 +f 5127/1562 5318/1561 1328/1558 1339/1557 +f 5312/1574 1355/1573 1354/1577 5311/1578 +f 1334/1576 1333/1575 1321/1570 1346/1569 +f 1329/1572 1338/1571 5126/1579 5317/1580 +f 1336/1581 1331/1582 1327/1583 1340/1584 +f 1347/1536 1320/1535 5311/1578 1354/1577 +f 5124/1540 5315/1539 1331/1582 1336/1581 +f 1317/1554 1350/1553 1349/1548 1318/1547 +f 5317/1580 5126/1579 1340/1584 1327/1583 +f 5127/1562 1290/1509 1292/1520 5125/1563 +f 1304/1524 1347/1536 1354/1577 1297/1518 +f 1353/1551 1298/1513 1305/1512 1346/1569 +f 1308/1521 1343/1537 5124/1540 1293/1516 +f 5125/1563 1292/1520 1310/1519 1341/1550 +f 5121/1522 1334/1576 1346/1569 1305/1512 +f 1355/1573 1296/1514 1297/1518 1354/1577 +f 1348/1545 1303/1523 1298/1513 1353/1551 +f 1293/1516 5124/1540 1336/1581 1315/1515 +f 1315/1515 1336/1581 1340/1584 1311/1511 +f 1335/1533 5120/1527 1299/1517 1352/1530 +f 1296/1514 1355/1573 1344/1559 1307/1507 +f 1352/1530 1299/1517 1300/1506 1351/1531 +f 5126/1579 1291/1503 1311/1511 1340/1584 +f 1290/1509 5127/1562 1339/1557 1312/1510 +f 1303/1523 1348/1545 1349/1548 1302/1585 +f 5122/1543 1295/1508 1307/1507 1344/1559 +f 1351/1531 1300/1506 1301/1505 1350/1553 +f 1338/1571 1313/1504 1291/1503 5126/1579 +f 219/1586 260/1587 903/964 902/963 +f 5239/1588 870/1036 913/974 5243/976 +f 867/1037 933/1589 739/1122 912/975 +f 197/1590 219/1586 902/963 907/973 +f 907/973 904/967 905/970 197/1590 +f 904/967 138/163 151/971 905/970 +f 89/1591 151/971 138/163 76/162 +f 4891/87 36/38 33/1592 4883/1593 +f 32/1594 33/1592 36/38 35/37 +f 4858/1595 32/1594 35/37 4859/41 +f 6779/1225 1067/1244 1066/1278 6771/1232 +f 1067/1244 1093/1243 1092/1279 1066/1278 +f 1093/1298 1119/1297 1118/1334 1092/1333 +f 1455/1596 1454/1597 1387/1598 1397/1599 +f 1454/1597 1453/1600 1377/1601 1387/1598 +f 1453/1600 1452/1602 1367/1603 1377/1601 +f 1452/1602 1451/1604 1357/1605 1367/1603 +f 1451/1604 1459/1606 1432/1607 1357/1605 +f 1682/1608 1456/1609 1406/1610 1676/1611 +f 1456/1609 1460/1612 1442/1613 1406/1610 +f 1460/1612 1457/1614 1416/1615 1442/1613 +f 1457/1614 1458/1616 1426/1617 1416/1615 +f 1397/1599 1387/1598 1386/1618 1396/1619 +f 1387/1598 1377/1601 1376/1620 1386/1618 +f 1377/1601 1367/1603 1366/1621 1376/1620 +f 1367/1603 1357/1605 1358/1622 1366/1621 +f 1357/1605 1432/1607 1433/1623 1358/1622 +f 1676/1611 1406/1610 1407/1624 1675/1625 +f 1406/1610 1442/1613 1443/1626 1407/1624 +f 1442/1613 1416/1615 1417/1627 1443/1626 +f 1416/1615 1426/1617 1427/1628 1417/1627 +f 1389/1629 1379/1630 1380/1631 1390/1632 +f 1379/1630 1369/1633 1370/1634 1380/1631 +f 1369/1633 1359/1635 1360/1636 1370/1634 +f 1359/1635 1434/1637 1435/1638 1360/1636 +f 1681/1639 1408/1640 1409/1641 1680/1642 +f 1408/1640 1444/1643 1445/1644 1409/1641 +f 1444/1643 1418/1645 1419/1646 1445/1644 +f 1418/1645 1428/1647 1429/1648 1419/1646 +f 1472/1649 1537/1650 1507/1651 1509/1652 +f 1390/1632 1380/1631 1381/1653 1391/1654 +f 1380/1631 1370/1634 1371/1655 1381/1653 +f 1370/1634 1360/1636 1361/1656 1371/1655 +f 1360/1636 1435/1638 1436/1657 1361/1656 +f 1680/1642 1409/1641 1410/1658 1679/1659 +f 1409/1641 1445/1644 1446/1660 1410/1658 +f 1445/1644 1664/1661 1654/1662 1446/1660 +f 1419/1646 1429/1648 1430/1663 1420/1664 +f 1400/1665 1529/1666 1528/1667 1503/1668 +f 1391/1654 1381/1653 1382/1669 1392/1670 +f 1381/1653 1371/1655 1372/1671 1382/1669 +f 1371/1655 1361/1656 1362/1672 1372/1671 +f 1361/1656 1436/1657 1437/1673 1362/1672 +f 1679/1659 1410/1658 1411/1674 1678/1675 +f 1410/1658 1446/1660 1447/1676 1411/1674 +f 1420/1664 1653/1677 1644/1678 1664/1661 +f 1503/1668 1528/1667 1509/1652 1507/1651 +f 1392/1670 1382/1669 1383/1679 1393/1680 +f 1382/1669 1372/1671 1373/1681 1383/1679 +f 1372/1671 1362/1672 1363/1682 1373/1681 +f 1362/1672 1437/1673 1438/1683 1363/1682 +f 1678/1675 1411/1674 1412/1684 1685/1685 +f 1411/1674 1447/1676 1448/1686 1412/1684 +f 1447/1676 1421/1687 1422/1688 1448/1686 +f 1390/1632 1391/1654 1537/1650 1472/1649 +f 1393/1680 1383/1679 1384/1689 1394/1690 +f 1383/1679 1373/1681 1374/1691 1384/1689 +f 1373/1681 1363/1682 1364/1692 1374/1691 +f 1363/1682 1438/1683 1439/1693 1364/1692 +f 1685/1685 1412/1684 1413/1694 1684/1695 +f 1412/1684 1448/1686 1449/1696 1413/1694 +f 1448/1686 1422/1688 1423/1697 1449/1696 +f 1402/1698 1477/1699 1475/1700 1403/1701 +f 1394/1690 1384/1689 1385/1702 1395/1703 +f 1384/1689 1374/1691 1375/1704 1385/1702 +f 1374/1691 1364/1692 1365/1705 1375/1704 +f 1364/1692 1439/1693 1440/1706 1365/1705 +f 1684/1695 1413/1694 1414/1707 1683/1708 +f 1413/1694 1449/1696 1450/1709 1414/1707 +f 1449/1696 1423/1697 1424/1710 1450/1709 +f 1403/1701 1475/1700 1474/1711 1473/1712 +f 1401/1713 1478/1714 1477/1699 1402/1698 +f 1400/1665 1503/1668 1478/1714 1401/1713 +f 1463/1715 932/1014 780/849 1464/1716 +f 1398/1717 1388/1718 1454/1597 1455/1596 +f 1388/1718 1378/1719 1453/1600 1454/1597 +f 1378/1719 1368/1720 1452/1602 1453/1600 +f 1368/1720 1356/1721 1451/1604 1452/1602 +f 1356/1721 1431/1722 1459/1606 1451/1604 +f 1677/1723 1405/1724 1456/1609 1682/1608 +f 1405/1724 1441/1725 1460/1612 1456/1609 +f 1441/1725 1415/1726 1457/1614 1460/1612 +f 1415/1726 1425/1727 1458/1616 1457/1614 +f 1503/1668 1507/1651 1508/1728 1478/1714 +f 1475/1700 1531/1729 1532/1730 1474/1711 +f 1404/1731 1390/1632 1472/1649 1510/1732 +f 1477/1699 1530/1733 1531/1729 1475/1700 +f 1478/1714 1508/1728 1530/1733 1477/1699 +f 1510/1732 1472/1649 1509/1652 1476/1734 +f 1399/1735 1389/1629 1390/1632 1404/1731 +f 1462/1736 797/848 813/847 1461/1737 +f 1511/1738 814/840 797/848 1462/1736 +f 1461/1737 813/847 817/996 1512/1739 +f 1520/1740 1455/1596 1397/1599 1519/1741 +f 1465/1742 774/814 775/815 1513/1743 +f 1501/1744 835/877 841/884 1500/1745 +f 1495/1746 1046/1160 1018/909 1496/1747 +f 1502/1748 829/869 835/877 1501/1744 +f 1496/1747 1018/909 859/908 1497/1749 +f 1046/1160 1495/1746 1498/1750 853/898 +f 1504/1751 823/861 829/869 1502/1748 +f 1506/1752 760/800 761/801 1505/1753 +f 1499/1754 847/891 853/898 1498/1750 +f 1505/1753 761/801 823/861 1504/1751 +f 1500/1745 841/884 847/891 1499/1754 +f 1485/1755 1505/1753 1504/1751 1486/1756 +f 1490/1757 1499/1754 1498/1750 1491/1758 +f 1484/1759 1506/1752 1505/1753 1485/1755 +f 1489/1760 1500/1745 1499/1754 1490/1757 +f 1488/1761 1501/1744 1500/1745 1489/1760 +f 1487/1762 1502/1748 1501/1744 1488/1761 +f 1494/1763 1495/1746 1496/1747 1493/1764 +f 1486/1756 1504/1751 1502/1748 1487/1762 +f 1495/1746 1494/1763 1491/1758 1498/1750 +f 1493/1764 1496/1747 1497/1749 1492/1765 +f 1467/1766 1493/1764 1492/1765 1468/1767 +f 1479/1768 1488/1761 1489/1760 1471/1769 +f 1471/1769 1489/1760 1490/1757 1470/1770 +f 1470/1770 1490/1757 1491/1758 1469/1771 +f 1483/1772 1484/1759 1485/1755 1482/1773 +f 1494/1763 1466/1774 1469/1771 1491/1758 +f 1482/1773 1485/1755 1486/1756 1481/1775 +f 1466/1774 1494/1763 1493/1764 1467/1766 +f 1481/1775 1486/1756 1487/1762 1480/1776 +f 1480/1776 1487/1762 1488/1761 1479/1768 +f 1518/1777 1463/1715 1464/1716 1519/1741 +f 1517/1778 1462/1736 1461/1737 1516/1779 +f 1515/1780 1511/1738 1462/1736 1517/1778 +f 1516/1779 1461/1737 1512/1739 1514/1781 +f 774/814 1465/1742 1464/1716 780/849 +f 1520/1740 1465/1742 1513/1743 1521/1782 +f 1396/1619 1518/1777 1519/1741 1397/1599 +f 1506/1752 1484/1759 1521/1782 1513/1743 +f 1455/1596 1520/1740 1521/1782 1398/1717 +f 1404/1731 1516/1779 1514/1781 1399/1735 +f 1465/1742 1520/1740 1519/1741 1464/1716 +f 1476/1734 1515/1780 1517/1778 1510/1732 +f 1510/1732 1517/1778 1516/1779 1404/1731 +f 1484/1759 1483/1772 1398/1717 1521/1782 +f 1506/1752 1513/1743 775/815 760/800 +f 812/841 1522/1783 1523/1784 816/978 +f 1522/1783 1524/1785 1525/1786 1523/1784 +f 1524/1785 1526/1787 1527/1788 1525/1786 +f 1526/1787 1528/1667 1529/1666 1527/1788 +f 1508/1728 1536/1789 1535/1790 1530/1733 +f 1530/1733 1535/1790 1534/1791 1531/1729 +f 1531/1729 1534/1791 1533/1792 1532/1730 +f 1507/1651 1537/1650 1536/1789 1508/1728 +f 1511/1738 1522/1783 812/841 814/840 +f 1524/1785 1522/1783 1511/1738 1515/1780 +f 1515/1780 1476/1734 1526/1787 1524/1785 +f 1476/1734 1509/1652 1528/1667 1526/1787 +f 1537/1650 1391/1654 1392/1670 1536/1789 +f 1534/1791 1394/1690 1395/1703 1533/1792 +f 1535/1790 1393/1680 1394/1690 1534/1791 +f 1536/1789 1392/1670 1393/1680 1535/1790 +f 1539/1793 1467/1766 1468/1767 1540/1794 +f 1547/1795 1482/1773 1481/1775 1546/1796 +f 1466/1774 1538/1797 1541/1798 1469/1771 +f 1546/1796 1481/1775 1480/1776 1545/1799 +f 1538/1797 1466/1774 1467/1766 1539/1793 +f 1545/1799 1480/1776 1479/1768 1544/1800 +f 1544/1800 1479/1768 1471/1769 1543/1801 +f 1543/1801 1471/1769 1470/1770 1542/1802 +f 1542/1802 1470/1770 1469/1771 1541/1798 +f 1548/1803 1483/1772 1482/1773 1547/1795 +f 1555/1804 1544/1800 1543/1801 1554/1805 +f 1554/1805 1543/1801 1542/1802 1553/1806 +f 1553/1806 1542/1802 1541/1798 1552/1807 +f 1559/1808 1548/1803 1547/1795 1558/1809 +f 1550/1810 1539/1793 1540/1794 1551/1811 +f 1558/1809 1547/1795 1546/1796 1557/1812 +f 1538/1797 1549/1813 1552/1807 1541/1798 +f 1557/1812 1546/1796 1545/1799 1556/1814 +f 1549/1813 1538/1797 1539/1793 1550/1810 +f 1556/1814 1545/1799 1544/1800 1555/1804 +f 1566/1815 1567/1816 1561/1817 1560/1818 +f 1570/1819 1571/1820 1565/1821 1564/1822 +f 1567/1816 1568/1823 1562/1824 1561/1817 +f 3839/1825 1569/1826 1563/1827 3838/1828 +f 1569/1826 1570/1819 1564/1822 1563/1827 +f 1572/1829 1573/1830 1567/1816 1566/1815 +f 1576/1831 1577/1832 1571/1820 1570/1819 +f 1573/1830 1574/1833 1568/1823 1567/1816 +f 3840/1834 1575/1835 1569/1826 3839/1825 +f 1575/1835 1576/1831 1570/1819 1569/1826 +f 1578/1836 1579/1837 1573/1830 1572/1829 +f 1582/1838 1583/1839 1577/1832 1576/1831 +f 1579/1837 1580/1840 1574/1833 1573/1830 +f 3841/1841 1581/1842 1575/1835 3840/1834 +f 1581/1842 1582/1838 1576/1831 1575/1835 +f 1584/1843 1585/1844 1579/1837 1578/1836 +f 1588/1845 1589/1846 1583/1839 1582/1838 +f 1585/1844 1586/1847 1580/1840 1579/1837 +f 3842/1848 1587/1849 1581/1842 3841/1841 +f 1587/1849 1588/1845 1582/1838 1581/1842 +f 1590/1850 1591/1851 1585/1844 1584/1843 +f 1594/1852 1595/1853 1589/1846 1588/1845 +f 1591/1851 1592/1854 1586/1847 1585/1844 +f 3843/1855 1593/1856 1587/1849 3842/1848 +f 1593/1856 1594/1852 1588/1845 1587/1849 +f 1596/1857 1597/1858 1591/1851 1590/1850 +f 1600/1859 1601/1860 1595/1853 1594/1852 +f 1597/1858 1598/1861 1592/1854 1591/1851 +f 3844/1862 1599/1863 1593/1856 3843/1855 +f 1599/1863 1600/1859 1594/1852 1593/1856 +f 1560/1818 1555/1804 1554/1805 1566/1815 +f 1566/1815 1554/1805 1553/1806 1572/1829 +f 1572/1829 1553/1806 1552/1807 1578/1836 +f 1549/1813 1584/1843 1578/1836 1552/1807 +f 1584/1843 1549/1813 1550/1810 1590/1850 +f 1590/1850 1550/1810 1551/1811 1596/1857 +f 1378/1719 1388/1718 1548/1803 1559/1808 +f 1388/1718 1398/1717 1483/1772 1548/1803 +f 1605/1864 1559/1808 1558/1809 1604/1865 +f 1604/1865 1558/1809 1557/1812 1603/1866 +f 1603/1866 1557/1812 1556/1814 1602/1867 +f 1631/1868 1686/1869 1687/1870 1641/1871 +f 1609/1872 1605/1864 1604/1865 1608/1873 +f 1694/1874 1693/1875 1614/1876 1613/1877 +f 1608/1873 1604/1865 1603/1866 1607/1878 +f 1693/1875 1692/1879 1615/1880 1614/1876 +f 1607/1878 1603/1866 1602/1867 1606/1881 +f 1668/1882 1690/1883 1686/1869 1631/1868 +f 1613/1877 1623/1884 1669/1885 1667/1886 +f 3845/1887 1613/1877 1667/1886 3850/1888 +f 1619/1889 1609/1872 1608/1873 1618/1890 +f 1613/1877 1614/1876 1624/1891 1623/1884 +f 1618/1890 1608/1873 1607/1878 1617/1892 +f 1614/1876 1615/1880 1625/1893 1624/1891 +f 1617/1892 1607/1878 1606/1881 1616/1894 +f 1616/1894 1606/1881 1610/1895 1620/1896 +f 1620/1896 1610/1895 1611/1897 1621/1898 +f 3850/1888 1667/1886 1632/1899 3846/1900 +f 1667/1886 1669/1885 1633/1901 1632/1899 +f 1671/1902 1619/1889 1618/1890 1670/1903 +f 1670/1903 1618/1890 1617/1892 1672/1904 +f 1672/1904 1617/1892 1616/1894 1673/1905 +f 1673/1905 1616/1894 1620/1896 1674/1906 +f 1674/1906 1620/1896 1621/1898 1668/1882 +f 1640/1907 1630/1908 1631/1868 1641/1871 +f 3846/1900 1632/1899 1642/1909 3847/1910 +f 1632/1899 1633/1901 1643/1911 1642/1909 +f 1639/1912 1629/1913 1628/1914 1638/1915 +f 1666/1916 1421/1687 1654/1662 1665/1917 +f 1638/1915 1628/1914 1627/1918 1637/1919 +f 1643/1911 1633/1901 1665/1917 1644/1678 +f 1637/1919 1627/1918 1626/1920 1636/1921 +f 1636/1921 1626/1920 1630/1908 1640/1907 +f 1649/1922 1640/1907 1641/1871 1650/1923 +f 3847/1910 1642/1909 1651/1924 3848/1925 +f 1642/1909 1643/1911 1652/1926 1651/1924 +f 1648/1927 1639/1912 1638/1915 1647/1928 +f 1643/1911 1644/1678 1653/1677 1652/1926 +f 1647/1928 1638/1915 1637/1919 1646/1929 +f 1419/1646 1420/1664 1664/1661 1445/1644 +f 1646/1929 1637/1919 1636/1921 1645/1930 +f 1645/1930 1636/1921 1640/1907 1649/1922 +f 1655/1931 1645/1930 1649/1922 1659/1932 +f 1659/1932 1649/1922 1650/1923 1660/1933 +f 3848/1925 1651/1924 1661/1934 3849/1935 +f 1651/1924 1652/1926 1662/1936 1661/1934 +f 1658/1937 1648/1927 1647/1928 1657/1938 +f 1652/1926 1653/1677 1663/1939 1662/1936 +f 1657/1938 1647/1928 1646/1929 1656/1940 +f 1653/1677 1420/1664 1430/1663 1663/1939 +f 1656/1940 1646/1929 1645/1930 1655/1931 +f 1422/1688 1634/1941 1635/1942 1423/1697 +f 1654/1662 1664/1661 1644/1678 1665/1917 +f 1654/1662 1421/1687 1447/1676 1446/1660 +f 1666/1916 1634/1941 1422/1688 1421/1687 +f 1621/1898 1612/1943 1690/1883 1668/1882 +f 1629/1913 1671/1902 1670/1903 1628/1914 +f 1628/1914 1670/1903 1672/1904 1627/1918 +f 1669/1885 1666/1916 1665/1917 1633/1901 +f 1627/1918 1672/1904 1673/1905 1626/1920 +f 1626/1920 1673/1905 1674/1906 1630/1908 +f 1630/1908 1674/1906 1668/1882 1631/1868 +f 1437/1673 1678/1675 1685/1685 1438/1683 +f 1435/1638 1680/1642 1679/1659 1436/1657 +f 1459/1606 1682/1608 1676/1611 1432/1607 +f 1431/1722 1677/1723 1682/1608 1459/1606 +f 1436/1657 1679/1659 1678/1675 1437/1673 +f 1432/1607 1676/1611 1675/1625 1433/1623 +f 1434/1637 1681/1639 1680/1642 1435/1638 +f 1439/1693 1684/1695 1683/1708 1440/1706 +f 1438/1683 1685/1685 1684/1695 1439/1693 +f 1623/1884 1634/1941 1666/1916 1669/1885 +f 1368/1720 1378/1719 1559/1808 1605/1864 +f 1356/1721 1368/1720 1605/1864 1609/1872 +f 1609/1872 1619/1889 1431/1722 1356/1721 +f 1677/1723 1431/1722 1619/1889 1671/1902 +f 1671/1902 1629/1913 1405/1724 1677/1723 +f 1629/1913 1639/1912 1441/1725 1405/1724 +f 1415/1726 1441/1725 1639/1912 1648/1927 +f 1648/1927 1658/1937 1425/1727 1415/1726 +f 1634/1941 1623/1884 1624/1891 1635/1942 +f 1641/1871 1687/1870 1688/1944 1650/1923 +f 1650/1923 1688/1944 1689/1945 1660/1933 +f 3872/1946 1694/1874 1613/1877 3845/1887 +f 1635/1942 1624/1891 1625/1893 1691/1947 +f 1635/1942 1691/1947 1424/1710 1423/1697 +f 1622/1948 1612/1943 1621/1898 1611/1897 +f 1661/1934 1662/1936 1709/1949 1708/1950 +f 1705/1951 1658/1937 1657/1938 1704/1952 +f 1458/1616 1701/1953 1696/1954 1426/1617 +f 1662/1936 1663/1939 1710/1955 1709/1949 +f 1711/1956 1707/1957 1660/1933 1689/1945 +f 1704/1952 1657/1938 1656/1940 1703/1958 +f 1426/1617 1696/1954 1697/1959 1427/1628 +f 1703/1958 1656/1940 1655/1931 1702/1960 +f 1701/1953 1458/1616 1425/1727 1695/1961 +f 1702/1960 1655/1931 1659/1932 1706/1962 +f 1706/1962 1659/1932 1660/1933 1707/1957 +f 1695/1961 1425/1727 1658/1937 1705/1951 +f 1428/1647 1698/1963 1699/1964 1429/1648 +f 3849/1935 1661/1934 1708/1950 3851/1965 +f 1429/1648 1699/1964 1700/1966 1430/1663 +f 1663/1939 1430/1663 1700/1966 1710/1955 +f 1708/1950 1709/1949 1726/1967 1725/1968 +f 1722/1969 1705/1951 1704/1952 1721/1970 +f 1696/1954 1713/1971 1714/1972 1697/1959 +f 1709/1949 1710/1955 1727/1973 1726/1967 +f 1721/1970 1704/1952 1703/1958 1720/1974 +f 1710/1955 1700/1966 1717/1975 1727/1973 +f 1720/1974 1703/1958 1702/1960 1719/1976 +f 1712/1977 1695/1961 1705/1951 1722/1969 +f 1719/1976 1702/1960 1706/1962 1723/1978 +f 1698/1963 1715/1979 1716/1980 1699/1964 +f 1728/1981 1724/1982 1707/1957 1711/1956 +f 1723/1978 1706/1962 1707/1957 1724/1982 +f 1699/1964 1716/1980 1717/1975 1700/1966 +f 3851/1965 1708/1950 1725/1968 3852/1983 +f 1718/1984 1701/1953 1695/1961 1712/1977 +f 1701/1953 1718/1984 1713/1971 1696/1954 +f 1726/1967 1727/1973 1744/1985 1743/1986 +f 1738/1987 1721/1970 1720/1974 1737/1988 +f 1727/1973 1717/1975 1734/1989 1744/1985 +f 1737/1988 1720/1974 1719/1976 1736/1990 +f 1729/1991 1712/1977 1722/1969 1739/1992 +f 1736/1990 1719/1976 1723/1978 1740/1993 +f 1715/1979 1732/1994 1733/1995 1716/1980 +f 1745/1996 1741/1997 1724/1982 1728/1981 +f 1740/1993 1723/1978 1724/1982 1741/1997 +f 1716/1980 1733/1995 1734/1989 1717/1975 +f 3852/1983 1725/1968 1742/1998 3853/1999 +f 1735/2000 1718/1984 1712/1977 1729/1991 +f 1718/1984 1735/2000 1730/2001 1713/1971 +f 1725/1968 1726/1967 1743/1986 1742/1998 +f 1739/1992 1722/1969 1721/1970 1738/1987 +f 1713/1971 1730/2001 1731/2002 1714/1972 +f 1744/1985 1734/1989 1751/2003 1761/2004 +f 1754/2005 1737/1988 1736/1990 1753/2006 +f 1746/2007 1729/1991 1739/1992 1756/2008 +f 1753/2006 1736/1990 1740/1993 1757/2009 +f 1732/1994 1749/2010 1750/2011 1733/1995 +f 1762/2012 1758/2013 1741/1997 1745/1996 +f 1757/2009 1740/1993 1741/1997 1758/2013 +f 1733/1995 1750/2011 1751/2003 1734/1989 +f 3853/1999 1742/1998 1759/2014 3854/2015 +f 1752/2016 1735/2000 1729/1991 1746/2007 +f 1735/2000 1752/2016 1747/2017 1730/2001 +f 1742/1998 1743/1986 1760/2018 1759/2014 +f 1756/2008 1739/1992 1738/1987 1755/2019 +f 1730/2001 1747/2017 1748/2020 1731/2002 +f 1743/1986 1744/1985 1761/2004 1760/2018 +f 1755/2019 1738/1987 1737/1988 1754/2005 +f 1786/2021 1787/2022 1771/2023 1770/2024 +f 1793/2025 1794/2026 1778/2027 1777/2028 +f 1787/2022 1788/2029 1772/2030 1771/2023 +f 1779/2031 1763/2032 1778/2027 1794/2026 +f 1788/2029 1789/2033 1773/2034 1772/2030 +f 1779/2031 1780/2035 1764/2036 1763/2032 +f 1789/2033 1790/2037 1774/2038 1773/2034 +f 1783/2039 1784/2040 1768/2041 1767/2042 +f 1780/2035 1781/2043 1765/2044 1764/2036 +f 1790/2037 1791/2045 1775/2046 1774/2038 +f 1784/2040 1785/2047 1769/2048 1768/2041 +f 1782/2049 1783/2039 1767/2042 1766/2050 +f 1791/2045 1792/2051 1776/2052 1775/2046 +f 1785/2047 1786/2021 1770/2024 1769/2048 +f 1781/2043 1782/2049 1766/2050 1765/2044 +f 1792/2051 1793/2025 1777/2028 1776/2052 +f 1793/2025 1780/2035 1779/2031 1794/2026 +f 1792/2051 1781/2043 1780/2035 1793/2025 +f 1791/2045 1782/2049 1781/2043 1792/2051 +f 1790/2037 1783/2039 1782/2049 1791/2045 +f 1783/2039 1790/2037 1789/2033 1784/2040 +f 1784/2040 1789/2033 1788/2029 1785/2047 +f 1785/2047 1788/2029 1787/2022 1786/2021 +f 1770/2024 1771/2023 1803/2053 1802/2054 +f 1777/2028 1778/2027 1810/2055 1809/2056 +f 1771/2023 1772/2030 1804/2057 1803/2053 +f 1763/2032 1795/2058 1810/2055 1778/2027 +f 1772/2030 1773/2034 1805/2059 1804/2057 +f 1763/2032 1764/2036 1796/2060 1795/2058 +f 1773/2034 1774/2038 1806/2061 1805/2059 +f 1767/2042 1768/2041 1800/2062 1799/2063 +f 1764/2036 1765/2044 1797/2064 1796/2060 +f 1774/2038 1775/2046 1807/2065 1806/2061 +f 1768/2041 1769/2048 1801/2066 1800/2062 +f 1766/2050 1767/2042 1799/2063 1798/2067 +f 1775/2046 1776/2052 1808/2068 1807/2065 +f 1769/2048 1770/2024 1802/2054 1801/2066 +f 1765/2044 1766/2050 1798/2067 1797/2064 +f 1776/2052 1777/2028 1809/2056 1808/2068 +f 1795/2058 1811/2069 1826/2070 1810/2055 +f 1804/2057 1805/2059 1821/2071 1820/2072 +f 1795/2058 1796/2060 1812/2073 1811/2069 +f 1805/2059 1806/2061 1822/2074 1821/2071 +f 1799/2063 1800/2062 1816/2075 1815/2076 +f 1796/2060 1797/2064 1813/2077 1812/2073 +f 1806/2061 1807/2065 1823/2078 1822/2074 +f 1800/2062 1801/2066 1817/2079 1816/2075 +f 1798/2067 1799/2063 1815/2076 1814/2080 +f 1807/2065 1808/2068 1824/2081 1823/2078 +f 1801/2066 1802/2054 1818/2082 1817/2079 +f 1797/2064 1798/2067 1814/2080 1813/2077 +f 1808/2068 1809/2056 1825/2083 1824/2081 +f 1802/2054 1803/2053 1819/2084 1818/2082 +f 1809/2056 1810/2055 1826/2070 1825/2083 +f 1803/2053 1804/2057 1820/2072 1819/2084 +f 1876/2085 1875/2086 1842/2087 1841/2088 +f 1878/2089 1877/2090 1836/2091 1835/2092 +f 1879/2093 1827/2094 1842/2087 1875/2086 +f 1877/2090 1880/2095 1837/2096 1836/2091 +f 1879/2093 1881/2097 1828/2098 1827/2094 +f 1880/2095 1882/2099 1838/2100 1837/2096 +f 1884/2101 1883/2102 1832/2103 1831/2104 +f 1881/2097 1885/2105 1829/2106 1828/2098 +f 1882/2099 1886/2107 1839/2108 1838/2100 +f 1883/2102 1887/2109 1833/2110 1832/2103 +f 1888/2111 1884/2101 1831/2104 1830/2112 +f 1886/2107 1889/2113 1840/2114 1839/2108 +f 1887/2109 1890/2115 1834/2116 1833/2110 +f 1885/2105 1888/2111 1830/2112 1829/2106 +f 1889/2113 1876/2085 1841/2088 1840/2114 +f 1890/2115 1878/2089 1835/2092 1834/2116 +f 1827/2094 1843/2117 1858/2118 1842/2087 +f 1836/2091 1837/2096 1853/2119 1852/2120 +f 1827/2094 1828/2098 1844/2121 1843/2117 +f 1837/2096 1838/2100 1854/2122 1853/2119 +f 1831/2104 1832/2103 1848/2123 1847/2124 +f 1828/2098 1829/2106 1845/2125 1844/2121 +f 1838/2100 1839/2108 1855/2126 1854/2122 +f 1832/2103 1833/2110 1849/2127 1848/2123 +f 1830/2112 1831/2104 1847/2124 1846/2128 +f 1839/2108 1840/2114 1856/2129 1855/2126 +f 1833/2110 1834/2116 1850/2130 1849/2127 +f 1829/2106 1830/2112 1846/2128 1845/2125 +f 1840/2114 1841/2088 1857/2131 1856/2129 +f 1834/2116 1835/2092 1851/2132 1850/2130 +f 1841/2088 1842/2087 1858/2118 1857/2131 +f 1835/2092 1836/2091 1852/2120 1851/2132 +f 1857/2131 1858/2118 1874/2133 1873/2134 +f 1851/2132 1852/2120 1868/2135 1867/2136 +f 1843/2117 1859/2137 1874/2133 1858/2118 +f 1852/2120 1853/2119 1869/2138 1868/2135 +f 1843/2117 1844/2121 1860/2139 1859/2137 +f 1853/2119 1854/2122 1870/2140 1869/2138 +f 1847/2124 1848/2123 1864/2141 1863/2142 +f 1844/2121 1845/2125 1861/2143 1860/2139 +f 1854/2122 1855/2126 1871/2144 1870/2140 +f 1848/2123 1849/2127 1865/2145 1864/2141 +f 1846/2128 1847/2124 1863/2142 1862/2146 +f 1855/2126 1856/2129 1872/2147 1871/2144 +f 1849/2127 1850/2130 1866/2148 1865/2145 +f 1845/2125 1846/2128 1862/2146 1861/2143 +f 1856/2129 1857/2131 1873/2134 1872/2147 +f 1850/2130 1851/2132 1867/2136 1866/2148 +f 1825/2083 1826/2070 1875/2086 1876/2085 +f 1819/2084 1820/2072 1877/2090 1878/2089 +f 1811/2069 1879/2093 1875/2086 1826/2070 +f 1820/2072 1821/2071 1880/2095 1877/2090 +f 1811/2069 1812/2073 1881/2097 1879/2093 +f 1821/2071 1822/2074 1882/2099 1880/2095 +f 1815/2076 1816/2075 1883/2102 1884/2101 +f 1812/2073 1813/2077 1885/2105 1881/2097 +f 1822/2074 1823/2078 1886/2107 1882/2099 +f 1816/2075 1817/2079 1887/2109 1883/2102 +f 1814/2080 1815/2076 1884/2101 1888/2111 +f 1823/2078 1824/2081 1889/2113 1886/2107 +f 1817/2079 1818/2082 1890/2115 1887/2109 +f 1813/2077 1814/2080 1888/2111 1885/2105 +f 1824/2081 1825/2083 1876/2085 1889/2113 +f 1818/2082 1819/2084 1878/2089 1890/2115 +f 1874/2133 1859/2137 1385/1702 1375/1704 +f 1873/2134 1874/2133 1375/1704 1365/1705 +f 1859/2137 1860/2139 1395/1703 1385/1702 +f 1533/1792 1395/1703 1860/2139 1861/2143 +f 1532/1730 1533/1792 1861/2143 1862/2146 +f 1895/2149 1862/2146 1863/2142 1896/2150 +f 1896/2150 1863/2142 1864/2141 1897/2151 +f 1897/2151 1864/2141 1865/2145 1898/2152 +f 1891/2153 1895/2149 1896/2150 1892/2154 +f 1892/2154 1896/2150 1897/2151 1893/2155 +f 1893/2155 1897/2151 1898/2152 1894/2156 +f 1473/1712 1474/1711 1895/2149 1891/2153 +f 1474/1711 1532/1730 1862/2146 1895/2149 +f 1365/1705 1440/1706 1872/2147 1873/2134 +f 1683/1708 1414/1707 3924/2157 4065/2158 +f 2814/2159 2792/2160 1903/2161 2006/2162 +f 2813/2163 2791/2164 1905/2165 1974/2166 +f 1971/2167 1939/2168 1904/2169 1973/2170 +f 3262/2171 1940/2172 1911/2173 3258/2174 +f 3266/2175 2794/2176 1910/2177 3257/2178 +f 3267/2179 2793/2180 1912/2181 3259/2182 +f 2817/2183 2789/2184 1902/2185 2011/2186 +f 2818/2187 2790/2188 1900/2189 2012/2190 +f 2014/2191 1938/2192 1901/2193 2017/2194 +f 2959/2195 1988/2196 1916/2197 2945/2198 +f 2001/2199 2008/2200 1904/2169 1939/2168 +f 2961/2201 1999/2202 1915/2203 2946/2204 +f 3268/2205 3261/2206 1922/2207 2948/2208 +f 1966/2209 1963/2210 1908/2211 1918/2212 +f 2013/2213 2012/2190 1900/2189 1920/2214 +f 3260/2215 3259/2182 1912/2181 1917/2216 +f 1972/2217 1974/2166 1905/2165 1919/2218 +f 1988/2219 1990/2220 1899/2221 1916/2222 +f 3261/2223 3256/2224 1907/2225 1922/2226 +f 1968/2227 1967/2228 1922/2226 1907/2225 +f 2815/2229 2009/2230 1903/2161 2792/2160 +f 2816/2231 2007/2232 1905/2165 2791/2164 +f 2812/2233 2821/2234 2029/2235 1959/2236 +f 1956/2237 2032/2238 2033/2239 1962/2240 +f 2955/2241 2967/2242 2028/2243 1952/2244 +f 2807/2245 2822/2246 2034/2247 1961/2248 +f 1959/2236 2029/2235 2032/2238 1956/2237 +f 2802/2249 2797/2250 1923/2251 1948/2252 +f 1933/2253 1925/2254 1923/2251 1937/2255 +f 1951/2256 1927/2257 1926/2258 1949/2259 +f 2950/2260 2966/2261 1925/2262 1933/2263 +f 2801/2264 2798/2265 1929/2266 1950/2267 +f 2059/2268 2068/2269 1928/2270 1931/2271 +f 1953/2272 1930/2273 1924/2274 1947/2275 +f 1950/2267 1929/2266 1930/2273 1953/2272 +f 1929/2266 1935/2276 1932/2277 1930/2273 +f 1930/2273 1932/2277 1942/2278 1924/2274 +f 2006/2162 1903/2161 1939/2168 1971/2167 +f 3257/2178 1910/2177 1940/2172 3262/2171 +f 2011/2186 1902/2185 1938/2192 2014/2191 +f 2064/2279 1987/2280 1943/2281 2067/2282 +f 2009/2230 2001/2199 1939/2168 1903/2161 +f 2055/2283 2002/2284 1944/2285 2066/2286 +f 3265/2287 3263/2288 1946/2289 2060/2290 +f 2068/2269 2058/2291 1954/2292 1928/2270 +f 2798/2265 2800/2293 1935/2276 1929/2266 +f 2966/2261 2955/2241 1952/2244 1925/2262 +f 1927/2257 1934/2294 1936/2295 1926/2258 +f 1925/2254 1952/2296 1948/2252 1923/2251 +f 2797/2250 2799/2297 1937/2255 1923/2251 +f 2056/2298 2063/2299 1955/2300 2027/2301 +f 2028/2302 1957/2303 1961/2248 2034/2247 +f 2821/2234 2801/2264 1950/2267 2029/2235 +f 2967/2242 2956/2304 1957/2305 2028/2243 +f 2029/2235 1950/2267 1953/2272 2032/2238 +f 2030/2306 1951/2256 1949/2259 2031/2307 +f 2032/2238 1953/2272 1947/2275 2033/2239 +f 2822/2246 2802/2249 1948/2252 2034/2247 +f 2826/2308 2812/2233 1959/2236 2085/2309 +f 2086/2310 1956/2237 1962/2240 2084/2311 +f 2090/2312 2061/2313 1986/2314 2083/2315 +f 1941/2316 1909/2317 1964/2318 1969/2319 +f 2948/2208 1922/2207 1967/2320 2957/2321 +f 2010/2322 2007/2232 1963/2210 1966/2209 +f 2000/2323 1999/2324 1967/2228 1968/2227 +f 2795/2325 1914/2326 1965/2327 2803/2328 +f 2796/2329 1908/2211 1963/2210 2804/2330 +f 1914/2326 1941/2316 1969/2319 1965/2327 +f 2060/2290 1946/2289 1970/2331 2057/2332 +f 1997/2333 1976/2334 1991/2335 1996/2336 +f 2081/2337 1958/2338 1960/2339 2082/2340 +f 2810/2341 2805/2342 1993/2343 1995/2344 +f 2982/2345 2960/2346 1984/2347 2087/2348 +f 2026/2349 2024/2350 1980/2351 1984/2352 +f 2962/2353 2004/2354 1977/2355 2958/2356 +f 2054/2357 2003/2358 1975/2359 2062/2360 +f 2790/2188 2810/2341 1995/2344 1900/2189 +f 1989/2361 1992/2362 1976/2334 1997/2333 +f 2811/2363 2806/2364 1992/2362 1989/2361 +f 1965/2327 1969/2319 2001/2199 2009/2230 +f 1998/2365 1995/2344 1993/2343 1978/2366 +f 2062/2360 1975/2359 1987/2280 2064/2279 +f 2004/2367 2005/2368 1994/2369 1977/2370 +f 2827/2371 2807/2245 1961/2248 2088/2372 +f 2803/2328 1965/2327 2009/2230 2815/2229 +f 2085/2309 1959/2236 1956/2237 2086/2310 +f 1976/2334 1971/2167 1973/2170 1991/2335 +f 2052/2373 2023/2374 1986/2314 2061/2313 +f 2789/2184 2811/2363 1989/2361 1902/2185 +f 1938/2192 1997/2333 1996/2336 1901/2193 +f 1920/2214 1900/2189 1995/2344 1998/2365 +f 2964/2375 2026/2376 1984/2347 2960/2346 +f 2087/2377 1984/2352 1980/2351 2088/2372 +f 2805/2342 2813/2163 1974/2166 1993/2343 +f 1977/2370 1994/2369 1990/2220 1988/2219 +f 2958/2356 1977/2355 1988/2196 2959/2195 +f 1902/2185 1989/2361 1997/2333 1938/2192 +f 1919/2218 1905/2165 2007/2232 2010/2322 +f 2957/2321 1967/2320 1999/2202 2961/2201 +f 1969/2319 1964/2318 2008/2200 2001/2199 +f 2066/2286 1944/2285 2003/2358 2054/2357 +f 1915/2378 1906/2379 2005/2368 2004/2367 +f 2804/2330 1963/2210 2007/2232 2816/2231 +f 1906/2379 1915/2378 1999/2324 2000/2323 +f 2057/2332 1970/2331 2002/2284 2055/2283 +f 2946/2204 1915/2203 2004/2354 2962/2353 +f 2806/2364 2814/2159 2006/2162 1992/2362 +f 1992/2362 2006/2162 1971/2167 1976/2334 +f 1978/2366 1993/2343 1974/2166 1972/2217 +f 2819/2380 2817/2183 2011/2186 2019/2381 +f 2820/2382 2818/2187 2012/2190 2020/2383 +f 2022/2384 2014/2191 2017/2194 2025/2385 +f 2021/2386 2020/2383 2012/2190 2013/2213 +f 2019/2381 2011/2186 2014/2191 2022/2384 +f 1916/2222 1899/2221 2016/2387 2018/2388 +f 2067/2282 1943/2281 2015/2389 2053/2390 +f 2945/2198 1916/2197 2018/2391 2963/2392 +f 2018/2388 2016/2387 2024/2350 2026/2349 +f 2053/2390 2015/2389 2023/2374 2052/2373 +f 2963/2392 2018/2391 2026/2376 2964/2375 +f 2809/2393 2819/2380 2019/2381 1979/2394 +f 2808/2395 2820/2382 2020/2383 1981/2396 +f 1985/2397 2022/2384 2025/2385 1982/2398 +f 1983/2399 1981/2396 2020/2383 2021/2386 +f 1979/2394 2019/2381 2022/2384 1985/2397 +f 1958/2338 2030/2306 2031/2307 1960/2339 +f 2058/2291 2056/2298 2027/2301 1954/2292 +f 1952/2296 2028/2302 2034/2247 1948/2252 +f 1987/2280 2045/2400 2035/2401 1943/2281 +f 2002/2284 2047/2402 2036/2403 1944/2285 +f 3263/2288 3264/2404 2038/2405 1946/2289 +f 1954/2292 2027/2301 2051/2406 2041/2407 +f 1931/2271 1928/2270 2039/2408 2040/2409 +f 1928/2270 1954/2292 2041/2407 2039/2408 +f 2027/2301 1955/2300 2042/2410 2051/2406 +f 1946/2289 2038/2405 2043/2411 1970/2331 +f 2083/2315 1986/2314 2046/2412 2089/2413 +f 2003/2358 2048/2414 2044/2415 1975/2359 +f 2023/2374 2050/2416 2046/2412 1986/2314 +f 1975/2359 2044/2415 2045/2400 1987/2280 +f 1970/2331 2043/2411 2047/2402 2002/2284 +f 1944/2285 2036/2403 2048/2414 2003/2358 +f 1943/2281 2035/2401 2049/2417 2015/2389 +f 2015/2389 2049/2417 2050/2416 2023/2374 +f 2972/2418 2057/2332 2055/2283 2970/2419 +f 3269/2420 3265/2287 2060/2290 2954/2421 +f 2954/2421 2060/2290 2057/2332 2972/2418 +f 2968/2422 2052/2373 2061/2313 2975/2423 +f 2949/2424 2974/2425 2058/2291 2068/2269 +f 2952/2426 2066/2286 2054/2357 2969/2427 +f 2951/2428 2067/2282 2053/2390 2971/2429 +f 2965/2430 2976/2431 2063/2299 2056/2298 +f 2977/2432 2064/2279 2067/2282 2951/2428 +f 2970/2419 2055/2283 2066/2286 2952/2426 +f 2978/2433 2062/2360 2064/2279 2977/2432 +f 2974/2425 2965/2430 2056/2298 2058/2291 +f 2973/2434 2949/2424 2068/2269 2059/2268 +f 2971/2429 2053/2390 2052/2373 2968/2422 +f 2983/2435 2975/2423 2061/2313 2090/2312 +f 2969/2427 2054/2357 2062/2360 2978/2433 +f 2078/2436 2059/2437 1931/2438 2070/2439 +f 1935/2276 2073/2440 2069/2441 1932/2277 +f 2040/2442 2077/2443 2070/2439 1931/2438 +f 2800/2293 2823/2444 2073/2440 1935/2276 +f 2071/2445 1933/2253 1937/2255 2075/2446 +f 1934/2294 2072/2447 2074/2448 1936/2295 +f 2973/2449 2980/2450 2072/2447 1934/2294 +f 2799/2297 2824/2451 2075/2446 1937/2255 +f 2979/2452 2950/2453 1933/2253 2071/2445 +f 1932/2277 2069/2441 2076/2454 1942/2278 +f 2980/2450 2981/2455 2080/2456 2072/2447 +f 2979/2452 2071/2445 2080/2456 2981/2455 +f 2071/2445 2075/2446 2079/2457 2080/2456 +f 2080/2456 2079/2457 2074/2448 2072/2447 +f 2825/2458 2069/2441 2073/2440 2823/2444 +f 2825/2458 2079/2457 2075/2446 2824/2451 +f 2808/2395 2826/2308 2085/2309 1982/2398 +f 1985/2397 2086/2310 2084/2311 1979/2394 +f 2063/2299 2090/2312 2083/2315 1955/2300 +f 1983/2399 2081/2337 2082/2340 1981/2396 +f 2956/2304 2982/2345 2087/2348 1957/2305 +f 2809/2393 2827/2371 2088/2372 1980/2351 +f 1982/2398 2085/2309 2086/2310 1985/2397 +f 1957/2303 2087/2377 2088/2372 1961/2248 +f 1955/2300 2083/2315 2089/2413 2042/2410 +f 2976/2431 2983/2435 2090/2312 2063/2299 +f 2853/2459 2831/2460 2095/2461 2198/2462 +f 2852/2463 2830/2464 2097/2465 2166/2466 +f 2163/2467 2131/2468 2096/2469 2165/2470 +f 3271/2471 2132/2472 2103/2473 3305/2474 +f 3275/2475 2833/2476 2102/2477 3306/2478 +f 3274/2479 2832/2480 2104/2481 3304/2482 +f 2856/2483 2828/2484 2094/2485 2203/2486 +f 2857/2487 2829/2488 2092/2489 2204/2490 +f 2206/2491 2130/2492 2093/2493 2209/2494 +f 2998/2495 2180/2496 2108/2497 2984/2498 +f 2193/2499 2200/2500 2096/2469 2131/2468 +f 3000/2501 2191/2502 2107/2503 2985/2504 +f 3281/2505 3272/2506 2114/2507 2987/2508 +f 2158/2509 2155/2510 2100/2511 2110/2512 +f 2205/2513 2204/2490 2092/2489 2112/2514 +f 3273/2515 3304/2482 2104/2481 2109/2516 +f 2164/2517 2166/2466 2097/2465 2111/2518 +f 2180/2519 2182/2520 2091/2521 2108/2522 +f 3272/2523 3307/2524 2099/2525 2114/2526 +f 2160/2527 2159/2528 2114/2526 2099/2525 +f 2854/2529 2201/2530 2095/2461 2831/2460 +f 2855/2531 2199/2532 2097/2465 2830/2464 +f 2851/2533 2860/2534 2221/2535 2151/2536 +f 2148/2537 2224/2538 2225/2539 2154/2540 +f 2994/2541 3006/2542 2220/2543 2144/2544 +f 2846/2545 2861/2546 2226/2547 2153/2548 +f 2151/2536 2221/2535 2224/2538 2148/2537 +f 2841/2549 2836/2550 2115/2551 2140/2552 +f 2125/2553 2117/2554 2115/2551 2129/2555 +f 2143/2556 2119/2557 2118/2558 2141/2559 +f 2989/2560 3005/2561 2117/2562 2125/2563 +f 2840/2564 2837/2565 2121/2566 2142/2567 +f 2251/2568 2260/2569 2120/2570 2123/2571 +f 2145/2572 2122/2573 2116/2574 2139/2575 +f 2142/2567 2121/2566 2122/2573 2145/2572 +f 2121/2566 2127/2576 2124/2577 2122/2573 +f 2122/2573 2124/2577 2134/2578 2116/2574 +f 2198/2462 2095/2461 2131/2468 2163/2467 +f 3306/2478 2102/2477 2132/2472 3271/2471 +f 2203/2486 2094/2485 2130/2492 2206/2491 +f 2256/2579 2179/2580 2135/2581 2259/2582 +f 2201/2530 2193/2499 2131/2468 2095/2461 +f 2247/2583 2194/2584 2136/2585 2258/2586 +f 3276/2587 3270/2588 2138/2589 2252/2590 +f 2260/2569 2250/2591 2146/2592 2120/2570 +f 2837/2565 2839/2593 2127/2576 2121/2566 +f 3005/2561 2994/2541 2144/2544 2117/2562 +f 2119/2557 2126/2594 2128/2595 2118/2558 +f 2117/2554 2144/2596 2140/2552 2115/2551 +f 2836/2550 2838/2597 2129/2555 2115/2551 +f 2248/2598 2255/2599 2147/2600 2219/2601 +f 2220/2602 2149/2603 2153/2548 2226/2547 +f 2860/2534 2840/2564 2142/2567 2221/2535 +f 3006/2542 2995/2604 2149/2605 2220/2543 +f 2221/2535 2142/2567 2145/2572 2224/2538 +f 2222/2606 2143/2556 2141/2559 2223/2607 +f 2224/2538 2145/2572 2139/2575 2225/2539 +f 2861/2546 2841/2549 2140/2552 2226/2547 +f 2865/2608 2851/2533 2151/2536 2277/2609 +f 2278/2610 2148/2537 2154/2540 2276/2611 +f 2282/2612 2253/2613 2178/2614 2275/2615 +f 2133/2616 2101/2617 2156/2618 2161/2619 +f 2987/2508 2114/2507 2159/2620 2996/2621 +f 2202/2622 2199/2532 2155/2510 2158/2509 +f 2192/2623 2191/2624 2159/2528 2160/2527 +f 2834/2625 2106/2626 2157/2627 2842/2628 +f 2835/2629 2100/2511 2155/2510 2843/2630 +f 2106/2626 2133/2616 2161/2619 2157/2627 +f 2252/2590 2138/2589 2162/2631 2249/2632 +f 2189/2633 2168/2634 2183/2635 2188/2636 +f 2273/2637 2150/2638 2152/2639 2274/2640 +f 2849/2641 2844/2642 2185/2643 2187/2644 +f 3021/2645 2999/2646 2176/2647 2279/2648 +f 2218/2649 2216/2650 2172/2651 2176/2652 +f 3001/2653 2196/2654 2169/2655 2997/2656 +f 2246/2657 2195/2658 2167/2659 2254/2660 +f 2829/2488 2849/2641 2187/2644 2092/2489 +f 2181/2661 2184/2662 2168/2634 2189/2633 +f 2850/2663 2845/2664 2184/2662 2181/2661 +f 2157/2627 2161/2619 2193/2499 2201/2530 +f 2190/2665 2187/2644 2185/2643 2170/2666 +f 2254/2660 2167/2659 2179/2580 2256/2579 +f 2196/2667 2197/2668 2186/2669 2169/2670 +f 2866/2671 2846/2545 2153/2548 2280/2672 +f 2842/2628 2157/2627 2201/2530 2854/2529 +f 2277/2609 2151/2536 2148/2537 2278/2610 +f 2168/2634 2163/2467 2165/2470 2183/2635 +f 2244/2673 2215/2674 2178/2614 2253/2613 +f 2828/2484 2850/2663 2181/2661 2094/2485 +f 2130/2492 2189/2633 2188/2636 2093/2493 +f 2112/2514 2092/2489 2187/2644 2190/2665 +f 3003/2675 2218/2676 2176/2647 2999/2646 +f 2279/2677 2176/2652 2172/2651 2280/2672 +f 2844/2642 2852/2463 2166/2466 2185/2643 +f 2169/2670 2186/2669 2182/2520 2180/2519 +f 2997/2656 2169/2655 2180/2496 2998/2495 +f 2094/2485 2181/2661 2189/2633 2130/2492 +f 2111/2518 2097/2465 2199/2532 2202/2622 +f 2996/2621 2159/2620 2191/2502 3000/2501 +f 2161/2619 2156/2618 2200/2500 2193/2499 +f 2258/2586 2136/2585 2195/2658 2246/2657 +f 2107/2678 2098/2679 2197/2668 2196/2667 +f 2843/2630 2155/2510 2199/2532 2855/2531 +f 2098/2679 2107/2678 2191/2624 2192/2623 +f 2249/2632 2162/2631 2194/2584 2247/2583 +f 2985/2504 2107/2503 2196/2654 3001/2653 +f 2845/2664 2853/2459 2198/2462 2184/2662 +f 2184/2662 2198/2462 2163/2467 2168/2634 +f 2170/2666 2185/2643 2166/2466 2164/2517 +f 2858/2680 2856/2483 2203/2486 2211/2681 +f 2859/2682 2857/2487 2204/2490 2212/2683 +f 2214/2684 2206/2491 2209/2494 2217/2685 +f 2213/2686 2212/2683 2204/2490 2205/2513 +f 2211/2681 2203/2486 2206/2491 2214/2684 +f 2108/2522 2091/2521 2208/2687 2210/2688 +f 2259/2582 2135/2581 2207/2689 2245/2690 +f 2984/2498 2108/2497 2210/2691 3002/2692 +f 2210/2688 2208/2687 2216/2650 2218/2649 +f 2245/2690 2207/2689 2215/2674 2244/2673 +f 3002/2692 2210/2691 2218/2676 3003/2675 +f 2848/2693 2858/2680 2211/2681 2171/2694 +f 2847/2695 2859/2682 2212/2683 2173/2696 +f 2177/2697 2214/2684 2217/2685 2174/2698 +f 2175/2699 2173/2696 2212/2683 2213/2686 +f 2171/2694 2211/2681 2214/2684 2177/2697 +f 2150/2638 2222/2606 2223/2607 2152/2639 +f 2250/2591 2248/2598 2219/2601 2146/2592 +f 2144/2596 2220/2602 2226/2547 2140/2552 +f 2179/2580 2237/2700 2227/2701 2135/2581 +f 2194/2584 2239/2702 2228/2703 2136/2585 +f 3270/2588 3277/2704 2230/2705 2138/2589 +f 2146/2592 2219/2601 2243/2706 2233/2707 +f 2123/2571 2120/2570 2231/2708 2232/2709 +f 2120/2570 2146/2592 2233/2707 2231/2708 +f 2219/2601 2147/2600 2234/2710 2243/2706 +f 2138/2589 2230/2705 2235/2711 2162/2631 +f 2275/2615 2178/2614 2238/2712 2281/2713 +f 2195/2658 2240/2714 2236/2715 2167/2659 +f 2215/2674 2242/2716 2238/2712 2178/2614 +f 2167/2659 2236/2715 2237/2700 2179/2580 +f 2162/2631 2235/2711 2239/2702 2194/2584 +f 2136/2585 2228/2703 2240/2714 2195/2658 +f 2135/2581 2227/2701 2241/2717 2207/2689 +f 2207/2689 2241/2717 2242/2716 2215/2674 +f 3011/2718 2249/2632 2247/2583 3009/2719 +f 3280/2720 3276/2587 2252/2590 2993/2721 +f 2993/2721 2252/2590 2249/2632 3011/2718 +f 3007/2722 2244/2673 2253/2613 3014/2723 +f 2988/2724 3013/2725 2250/2591 2260/2569 +f 2991/2726 2258/2586 2246/2657 3008/2727 +f 2990/2728 2259/2582 2245/2690 3010/2729 +f 3004/2730 3015/2731 2255/2599 2248/2598 +f 3016/2732 2256/2579 2259/2582 2990/2728 +f 3009/2719 2247/2583 2258/2586 2991/2726 +f 3017/2733 2254/2660 2256/2579 3016/2732 +f 3013/2725 3004/2730 2248/2598 2250/2591 +f 3012/2734 2988/2724 2260/2569 2251/2568 +f 3010/2729 2245/2690 2244/2673 3007/2722 +f 3022/2735 3014/2723 2253/2613 2282/2612 +f 3008/2727 2246/2657 2254/2660 3017/2733 +f 2270/2736 2251/2737 2123/2738 2262/2739 +f 2127/2576 2265/2740 2261/2741 2124/2577 +f 2232/2742 2269/2743 2262/2739 2123/2738 +f 2839/2593 2862/2744 2265/2740 2127/2576 +f 2263/2745 2125/2553 2129/2555 2267/2746 +f 2126/2594 2264/2747 2266/2748 2128/2595 +f 3012/2749 3019/2750 2264/2747 2126/2594 +f 2838/2597 2863/2751 2267/2746 2129/2555 +f 3018/2752 2989/2753 2125/2553 2263/2745 +f 2124/2577 2261/2741 2268/2754 2134/2578 +f 3019/2750 3020/2755 2272/2756 2264/2747 +f 3018/2752 2263/2745 2272/2756 3020/2755 +f 2263/2745 2267/2746 2271/2757 2272/2756 +f 2272/2756 2271/2757 2266/2748 2264/2747 +f 2864/2758 2261/2741 2265/2740 2862/2744 +f 2864/2758 2271/2757 2267/2746 2863/2751 +f 2847/2695 2865/2608 2277/2609 2174/2698 +f 2177/2697 2278/2610 2276/2611 2171/2694 +f 2255/2599 2282/2612 2275/2615 2147/2600 +f 2175/2699 2273/2637 2274/2640 2173/2696 +f 2995/2604 3021/2645 2279/2648 2149/2605 +f 2848/2693 2866/2671 2280/2672 2172/2651 +f 2174/2698 2277/2609 2278/2610 2177/2697 +f 2149/2603 2279/2677 2280/2672 2153/2548 +f 2147/2600 2275/2615 2281/2713 2234/2710 +f 3015/2731 3022/2735 2282/2612 2255/2599 +f 2892/2759 2870/2760 2287/2761 2390/2762 +f 2891/2763 2869/2764 2289/2765 2358/2766 +f 2355/2767 2323/2768 2288/2769 2357/2770 +f 3294/2771 2324/2772 2295/2773 3296/2774 +f 3290/2775 2872/2776 2294/2777 3287/2778 +f 3291/2779 2871/2780 2296/2781 3297/2782 +f 2895/2783 2867/2784 2286/2785 2395/2786 +f 2896/2787 2868/2788 2284/2789 2396/2790 +f 2398/2791 2322/2792 2285/2793 2401/2794 +f 3037/2795 2372/2796 2300/2797 3023/2798 +f 2385/2799 2392/2800 2288/2769 2323/2768 +f 3039/2801 2383/2802 2299/2803 3024/2804 +f 3282/2805 3285/2806 2306/2807 3026/2808 +f 2350/2809 2347/2810 2292/2811 2302/2812 +f 2397/2813 2396/2790 2284/2789 2304/2814 +f 3284/2815 3297/2782 2296/2781 2301/2816 +f 2356/2817 2358/2766 2289/2765 2303/2818 +f 2372/2819 2374/2820 2283/2821 2300/2822 +f 3285/2823 3286/2824 2291/2825 2306/2826 +f 2352/2827 2351/2828 2306/2826 2291/2825 +f 2893/2829 2393/2830 2287/2761 2870/2760 +f 2894/2831 2391/2832 2289/2765 2869/2764 +f 2890/2833 2899/2834 2413/2835 2343/2836 +f 2340/2837 2416/2838 2417/2839 2346/2840 +f 3033/2841 3045/2842 2412/2843 2336/2844 +f 2885/2845 2900/2846 2418/2847 2345/2848 +f 2343/2836 2413/2835 2416/2838 2340/2837 +f 2880/2849 2875/2850 2307/2851 2332/2852 +f 2317/2853 2309/2854 2307/2851 2321/2855 +f 2335/2856 2311/2857 2310/2858 2333/2859 +f 3028/2860 3044/2861 2309/2862 2317/2863 +f 2879/2864 2876/2865 2313/2866 2334/2867 +f 2443/2868 2452/2869 2312/2870 2315/2871 +f 2337/2872 2314/2873 2308/2874 2331/2875 +f 2334/2867 2313/2866 2314/2873 2337/2872 +f 2313/2866 2319/2876 2316/2877 2314/2873 +f 2314/2873 2316/2877 2326/2878 2308/2874 +f 2390/2762 2287/2761 2323/2768 2355/2767 +f 3287/2778 2294/2777 2324/2772 3294/2771 +f 2395/2786 2286/2785 2322/2792 2398/2791 +f 2448/2879 2371/2880 2327/2881 2451/2882 +f 2393/2830 2385/2799 2323/2768 2287/2761 +f 2439/2883 2386/2884 2328/2885 2450/2886 +f 3289/2887 3295/2888 2330/2889 2444/2890 +f 2452/2869 2442/2891 2338/2892 2312/2870 +f 2876/2865 2878/2893 2319/2876 2313/2866 +f 3044/2861 3033/2841 2336/2844 2309/2862 +f 2311/2857 2318/2894 2320/2895 2310/2858 +f 2309/2854 2336/2896 2332/2852 2307/2851 +f 2875/2850 2877/2897 2321/2855 2307/2851 +f 2440/2898 2447/2899 2339/2900 2411/2901 +f 2412/2902 2341/2903 2345/2848 2418/2847 +f 2899/2834 2879/2864 2334/2867 2413/2835 +f 3045/2842 3034/2904 2341/2905 2412/2843 +f 2413/2835 2334/2867 2337/2872 2416/2838 +f 2414/2906 2335/2856 2333/2859 2415/2907 +f 2416/2838 2337/2872 2331/2875 2417/2839 +f 2900/2846 2880/2849 2332/2852 2418/2847 +f 2904/2908 2890/2833 2343/2836 2469/2909 +f 2470/2910 2340/2837 2346/2840 2468/2911 +f 2474/2912 2445/2913 2370/2914 2467/2915 +f 2325/2916 2293/2917 2348/2918 2353/2919 +f 3026/2808 2306/2807 2351/2920 3035/2921 +f 2394/2922 2391/2832 2347/2810 2350/2809 +f 2384/2923 2383/2924 2351/2828 2352/2827 +f 2873/2925 2298/2926 2349/2927 2881/2928 +f 2874/2929 2292/2811 2347/2810 2882/2930 +f 2298/2926 2325/2916 2353/2919 2349/2927 +f 2444/2890 2330/2889 2354/2931 2441/2932 +f 2381/2933 2360/2934 2375/2935 2380/2936 +f 2465/2937 2342/2938 2344/2939 2466/2940 +f 2888/2941 2883/2942 2377/2943 2379/2944 +f 3060/2945 3038/2946 2368/2947 2471/2948 +f 2410/2949 2408/2950 2364/2951 2368/2952 +f 3040/2953 2388/2954 2361/2955 3036/2956 +f 2438/2957 2387/2958 2359/2959 2446/2960 +f 2868/2788 2888/2941 2379/2944 2284/2789 +f 2373/2961 2376/2962 2360/2934 2381/2933 +f 2889/2963 2884/2964 2376/2962 2373/2961 +f 2349/2927 2353/2919 2385/2799 2393/2830 +f 2382/2965 2379/2944 2377/2943 2362/2966 +f 2446/2960 2359/2959 2371/2880 2448/2879 +f 2388/2967 2389/2968 2378/2969 2361/2970 +f 2905/2971 2885/2845 2345/2848 2472/2972 +f 2881/2928 2349/2927 2393/2830 2893/2829 +f 2469/2909 2343/2836 2340/2837 2470/2910 +f 2360/2934 2355/2767 2357/2770 2375/2935 +f 2436/2973 2407/2974 2370/2914 2445/2913 +f 2867/2784 2889/2963 2373/2961 2286/2785 +f 2322/2792 2381/2933 2380/2936 2285/2793 +f 2304/2814 2284/2789 2379/2944 2382/2965 +f 3042/2975 2410/2976 2368/2947 3038/2946 +f 2471/2977 2368/2952 2364/2951 2472/2972 +f 2883/2942 2891/2763 2358/2766 2377/2943 +f 2361/2970 2378/2969 2374/2820 2372/2819 +f 3036/2956 2361/2955 2372/2796 3037/2795 +f 2286/2785 2373/2961 2381/2933 2322/2792 +f 2303/2818 2289/2765 2391/2832 2394/2922 +f 3035/2921 2351/2920 2383/2802 3039/2801 +f 2353/2919 2348/2918 2392/2800 2385/2799 +f 2450/2886 2328/2885 2387/2958 2438/2957 +f 2299/2978 2290/2979 2389/2968 2388/2967 +f 2882/2930 2347/2810 2391/2832 2894/2831 +f 2290/2979 2299/2978 2383/2924 2384/2923 +f 2441/2932 2354/2931 2386/2884 2439/2883 +f 3024/2804 2299/2803 2388/2954 3040/2953 +f 2884/2964 2892/2759 2390/2762 2376/2962 +f 2376/2962 2390/2762 2355/2767 2360/2934 +f 2362/2966 2377/2943 2358/2766 2356/2817 +f 2897/2980 2895/2783 2395/2786 2403/2981 +f 2898/2982 2896/2787 2396/2790 2404/2983 +f 2406/2984 2398/2791 2401/2794 2409/2985 +f 2405/2986 2404/2983 2396/2790 2397/2813 +f 2403/2981 2395/2786 2398/2791 2406/2984 +f 2300/2822 2283/2821 2400/2987 2402/2988 +f 2451/2882 2327/2881 2399/2989 2437/2990 +f 3023/2798 2300/2797 2402/2991 3041/2992 +f 2402/2988 2400/2987 2408/2950 2410/2949 +f 2437/2990 2399/2989 2407/2974 2436/2973 +f 3041/2992 2402/2991 2410/2976 3042/2975 +f 2887/2993 2897/2980 2403/2981 2363/2994 +f 2886/2995 2898/2982 2404/2983 2365/2996 +f 2369/2997 2406/2984 2409/2985 2366/2998 +f 2367/2999 2365/2996 2404/2983 2405/2986 +f 2363/2994 2403/2981 2406/2984 2369/2997 +f 2342/2938 2414/2906 2415/2907 2344/2939 +f 2442/2891 2440/2898 2411/2901 2338/2892 +f 2336/2896 2412/2902 2418/2847 2332/2852 +f 2371/2880 2429/3000 2419/3001 2327/2881 +f 2386/2884 2431/3002 2420/3003 2328/2885 +f 3295/2888 3288/3004 2422/3005 2330/2889 +f 2338/2892 2411/2901 2435/3006 2425/3007 +f 2315/2871 2312/2870 2423/3008 2424/3009 +f 2312/2870 2338/2892 2425/3007 2423/3008 +f 2411/2901 2339/2900 2426/3010 2435/3006 +f 2330/2889 2422/3005 2427/3011 2354/2931 +f 2467/2915 2370/2914 2430/3012 2473/3013 +f 2387/2958 2432/3014 2428/3015 2359/2959 +f 2407/2974 2434/3016 2430/3012 2370/2914 +f 2359/2959 2428/3015 2429/3000 2371/2880 +f 2354/2931 2427/3011 2431/3002 2386/2884 +f 2328/2885 2420/3003 2432/3014 2387/2958 +f 2327/2881 2419/3001 2433/3017 2399/2989 +f 2399/2989 2433/3017 2434/3016 2407/2974 +f 3050/3018 2441/2932 2439/2883 3048/3019 +f 3283/3020 3289/2887 2444/2890 3032/3021 +f 3032/3021 2444/2890 2441/2932 3050/3018 +f 3046/3022 2436/2973 2445/2913 3053/3023 +f 3027/3024 3052/3025 2442/2891 2452/2869 +f 3030/3026 2450/2886 2438/2957 3047/3027 +f 3029/3028 2451/2882 2437/2990 3049/3029 +f 3043/3030 3054/3031 2447/2899 2440/2898 +f 3055/3032 2448/2879 2451/2882 3029/3028 +f 3048/3019 2439/2883 2450/2886 3030/3026 +f 3056/3033 2446/2960 2448/2879 3055/3032 +f 3052/3025 3043/3030 2440/2898 2442/2891 +f 3051/3034 3027/3024 2452/2869 2443/2868 +f 3049/3029 2437/2990 2436/2973 3046/3022 +f 3061/3035 3053/3023 2445/2913 2474/2912 +f 3047/3027 2438/2957 2446/2960 3056/3033 +f 2462/3036 2443/3037 2315/3038 2454/3039 +f 2319/2876 2457/3040 2453/3041 2316/2877 +f 2424/3042 2461/3043 2454/3039 2315/3038 +f 2878/2893 2901/3044 2457/3040 2319/2876 +f 2455/3045 2317/2853 2321/2855 2459/3046 +f 2318/2894 2456/3047 2458/3048 2320/2895 +f 3051/3049 3058/3050 2456/3047 2318/2894 +f 2877/2897 2902/3051 2459/3046 2321/2855 +f 3057/3052 3028/3053 2317/2853 2455/3045 +f 2316/2877 2453/3041 2460/3054 2326/2878 +f 3058/3050 3059/3055 2464/3056 2456/3047 +f 3057/3052 2455/3045 2464/3056 3059/3055 +f 2455/3045 2459/3046 2463/3057 2464/3056 +f 2464/3056 2463/3057 2458/3048 2456/3047 +f 2903/3058 2453/3041 2457/3040 2901/3044 +f 2903/3058 2463/3057 2459/3046 2902/3051 +f 2886/2995 2904/2908 2469/2909 2366/2998 +f 2369/2997 2470/2910 2468/2911 2363/2994 +f 2447/2899 2474/2912 2467/2915 2339/2900 +f 2367/2999 2465/2937 2466/2940 2365/2996 +f 3034/2904 3060/2945 2471/2948 2341/2905 +f 2887/2993 2905/2971 2472/2972 2364/2951 +f 2366/2998 2469/2909 2470/2910 2369/2997 +f 2341/2903 2471/2977 2472/2972 2345/2848 +f 2339/2900 2467/2915 2473/3013 2426/3010 +f 3054/3031 3061/3035 2474/2912 2447/2899 +f 2931/3059 2909/3060 2479/3061 2582/3062 +f 2930/3063 2908/3064 2481/3065 2550/3066 +f 2547/3067 2515/3068 2480/3069 2549/3070 +f 3301/3071 2516/3072 2487/3073 3279/3074 +f 3303/3075 2911/3076 2486/3077 3292/3078 +f 3302/3079 2910/3080 2488/3081 3278/3082 +f 2934/3083 2906/3084 2478/3085 2587/3086 +f 2935/3087 2907/3088 2476/3089 2588/3090 +f 2590/3091 2514/3092 2477/3093 2593/3094 +f 3076/3095 2564/3096 2492/3097 3062/3098 +f 2577/3099 2584/3100 2480/3069 2515/3068 +f 3078/3101 2575/3102 2491/3103 3063/3104 +f 3299/3105 3309/3106 2498/3107 3065/3108 +f 2542/3109 2539/3110 2484/3111 2494/3112 +f 2589/3113 2588/3090 2476/3089 2496/3114 +f 3308/3115 3278/3082 2488/3081 2493/3116 +f 2548/3117 2550/3066 2481/3065 2495/3118 +f 2564/3119 2566/3120 2475/3121 2492/3122 +f 3309/3123 3293/3124 2483/3125 2498/3126 +f 2544/3127 2543/3128 2498/3126 2483/3125 +f 2932/3129 2585/3130 2479/3061 2909/3060 +f 2933/3131 2583/3132 2481/3065 2908/3064 +f 2929/3133 2938/3134 2605/3135 2535/3136 +f 2532/3137 2608/3138 2609/3139 2538/3140 +f 3072/3141 3084/3142 2604/3143 2528/3144 +f 2924/3145 2939/3146 2610/3147 2537/3148 +f 2535/3136 2605/3135 2608/3138 2532/3137 +f 2919/3149 2914/3150 2499/3151 2524/3152 +f 2509/3153 2501/3154 2499/3151 2513/3155 +f 2527/3156 2503/3157 2502/3158 2525/3159 +f 3067/3160 3083/3161 2501/3154 2509/3153 +f 2918/3162 2915/3163 2505/3164 2526/3165 +f 2635/3166 2644/3167 2504/3168 2507/3169 +f 2529/3170 2506/3171 2500/3172 2523/3173 +f 2526/3165 2505/3164 2506/3171 2529/3170 +f 2505/3164 2511/3174 2508/3175 2506/3171 +f 2506/3171 2508/3175 2518/3176 2500/3172 +f 2582/3062 2479/3061 2515/3068 2547/3067 +f 3292/3078 2486/3077 2516/3072 3301/3071 +f 2587/3086 2478/3085 2514/3092 2590/3091 +f 2640/3177 2563/3178 2519/3179 2643/3180 +f 2585/3130 2577/3099 2515/3068 2479/3061 +f 2631/3181 2578/3182 2520/3183 2642/3184 +f 3310/3185 3300/3186 2522/3187 2636/3188 +f 2644/3189 2634/3190 2530/3191 2504/3192 +f 2915/3163 2917/3193 2511/3174 2505/3164 +f 3083/3194 3072/3141 2528/3144 2501/3195 +f 2503/3157 2510/3196 2512/3197 2502/3158 +f 2501/3154 2528/3198 2524/3152 2499/3151 +f 2914/3150 2916/3199 2513/3155 2499/3151 +f 2632/3200 2639/3201 2531/3202 2603/3203 +f 2604/3204 2533/3205 2537/3148 2610/3147 +f 2938/3134 2918/3162 2526/3165 2605/3135 +f 3084/3142 3073/3206 2533/3207 2604/3143 +f 2605/3135 2526/3165 2529/3170 2608/3138 +f 2606/3208 2527/3156 2525/3159 2607/3209 +f 2608/3138 2529/3170 2523/3173 2609/3139 +f 2939/3146 2919/3149 2524/3152 2610/3147 +f 2943/3210 2929/3133 2535/3136 2661/3211 +f 2662/3212 2532/3137 2538/3140 2660/3213 +f 2666/3214 2637/3215 2562/3216 2659/3217 +f 2517/3218 2485/3219 2540/3220 2545/3221 +f 3065/3108 2498/3107 2543/3222 3074/3223 +f 2586/3224 2583/3132 2539/3110 2542/3109 +f 2576/3225 2575/3226 2543/3128 2544/3127 +f 2912/3227 2490/3228 2541/3229 2920/3230 +f 2913/3231 2484/3111 2539/3110 2921/3232 +f 2490/3228 2517/3218 2545/3221 2541/3229 +f 2636/3188 2522/3187 2546/3233 2633/3234 +f 2573/3235 2552/3236 2567/3237 2572/3238 +f 2657/3239 2534/3240 2536/3241 2658/3242 +f 2927/3243 2922/3244 2569/3245 2571/3246 +f 3099/3247 3077/3248 2560/3249 2663/3250 +f 2602/3251 2600/3252 2556/3253 2560/3254 +f 3079/3255 2580/3256 2553/3257 3075/3258 +f 2630/3259 2579/3260 2551/3261 2638/3262 +f 2907/3088 2927/3243 2571/3246 2476/3089 +f 2565/3263 2568/3264 2552/3236 2573/3235 +f 2928/3265 2923/3266 2568/3264 2565/3263 +f 2541/3229 2545/3221 2577/3099 2585/3130 +f 2574/3267 2571/3246 2569/3245 2554/3268 +f 2638/3262 2551/3261 2563/3178 2640/3177 +f 2580/3269 2581/3270 2570/3271 2553/3272 +f 2944/3273 2924/3145 2537/3148 2664/3274 +f 2920/3230 2541/3229 2585/3130 2932/3129 +f 2661/3211 2535/3136 2532/3137 2662/3212 +f 2552/3236 2547/3067 2549/3070 2567/3237 +f 2628/3275 2599/3276 2562/3216 2637/3215 +f 2906/3084 2928/3265 2565/3263 2478/3085 +f 2514/3092 2573/3235 2572/3238 2477/3093 +f 2496/3114 2476/3089 2571/3246 2574/3267 +f 3081/3277 2602/3278 2560/3249 3077/3248 +f 2663/3279 2560/3254 2556/3253 2664/3274 +f 2922/3244 2930/3063 2550/3066 2569/3245 +f 2553/3272 2570/3271 2566/3120 2564/3119 +f 3075/3258 2553/3257 2564/3096 3076/3095 +f 2478/3085 2565/3263 2573/3235 2514/3092 +f 2495/3118 2481/3065 2583/3132 2586/3224 +f 3074/3223 2543/3222 2575/3102 3078/3101 +f 2545/3221 2540/3220 2584/3100 2577/3099 +f 2642/3184 2520/3183 2579/3260 2630/3259 +f 2491/3280 2482/3281 2581/3270 2580/3269 +f 2921/3232 2539/3110 2583/3132 2933/3131 +f 2482/3281 2491/3280 2575/3226 2576/3225 +f 2633/3234 2546/3233 2578/3182 2631/3181 +f 3063/3104 2491/3103 2580/3256 3079/3255 +f 2923/3266 2931/3059 2582/3062 2568/3264 +f 2568/3264 2582/3062 2547/3067 2552/3236 +f 2554/3268 2569/3245 2550/3066 2548/3117 +f 2936/3282 2934/3083 2587/3086 2595/3283 +f 2937/3284 2935/3087 2588/3090 2596/3285 +f 2598/3286 2590/3091 2593/3094 2601/3287 +f 2597/3288 2596/3285 2588/3090 2589/3113 +f 2595/3283 2587/3086 2590/3091 2598/3286 +f 2492/3122 2475/3121 2592/3289 2594/3290 +f 2643/3180 2519/3179 2591/3291 2629/3292 +f 3062/3098 2492/3097 2594/3293 3080/3294 +f 2594/3290 2592/3289 2600/3252 2602/3251 +f 2629/3292 2591/3291 2599/3276 2628/3275 +f 3080/3294 2594/3293 2602/3278 3081/3277 +f 2926/3295 2936/3282 2595/3283 2555/3296 +f 2925/3297 2937/3284 2596/3285 2557/3298 +f 2561/3299 2598/3286 2601/3287 2558/3300 +f 2559/3301 2557/3298 2596/3285 2597/3288 +f 2555/3296 2595/3283 2598/3286 2561/3299 +f 2534/3240 2606/3208 2607/3209 2536/3241 +f 2634/3190 2632/3200 2603/3203 2530/3191 +f 2528/3198 2604/3204 2610/3147 2524/3152 +f 2563/3178 2621/3302 2611/3303 2519/3179 +f 2578/3182 2623/3304 2612/3305 2520/3183 +f 3300/3186 3311/3306 2614/3307 2522/3187 +f 2530/3191 2603/3203 2627/3308 2617/3309 +f 2507/3169 2504/3168 2615/3310 2616/3311 +f 2504/3192 2530/3191 2617/3309 2615/3312 +f 2603/3203 2531/3202 2618/3313 2627/3308 +f 2522/3187 2614/3307 2619/3314 2546/3233 +f 2659/3217 2562/3216 2622/3315 2665/3316 +f 2579/3260 2624/3317 2620/3318 2551/3261 +f 2599/3276 2626/3319 2622/3315 2562/3216 +f 2551/3261 2620/3318 2621/3302 2563/3178 +f 2546/3233 2619/3314 2623/3304 2578/3182 +f 2520/3183 2612/3305 2624/3317 2579/3260 +f 2519/3179 2611/3303 2625/3320 2591/3291 +f 2591/3291 2625/3320 2626/3319 2599/3276 +f 3089/3321 2633/3234 2631/3181 3087/3322 +f 3298/3323 3310/3185 2636/3188 3071/3324 +f 3071/3324 2636/3188 2633/3234 3089/3321 +f 3085/3325 2628/3275 2637/3215 3092/3326 +f 3066/3327 3091/3328 2634/3190 2644/3189 +f 3069/3329 2642/3184 2630/3259 3086/3330 +f 3068/3331 2643/3180 2629/3292 3088/3332 +f 3082/3333 3093/3334 2639/3201 2632/3200 +f 3094/3335 2640/3177 2643/3180 3068/3331 +f 3087/3322 2631/3181 2642/3184 3069/3329 +f 3095/3336 2638/3262 2640/3177 3094/3335 +f 3091/3328 3082/3333 2632/3200 2634/3190 +f 3090/3337 3066/3338 2644/3167 2635/3166 +f 3088/3332 2629/3292 2628/3275 3085/3325 +f 3100/3339 3092/3326 2637/3215 2666/3214 +f 3086/3330 2630/3259 2638/3262 3095/3336 +f 2654/3340 2635/3166 2507/3169 2646/3341 +f 2511/3174 2649/3342 2645/3343 2508/3175 +f 2616/3311 2653/3344 2646/3341 2507/3169 +f 2917/3193 2940/3345 2649/3342 2511/3174 +f 2647/3346 2509/3153 2513/3155 2651/3347 +f 2510/3196 2648/3348 2650/3349 2512/3197 +f 3090/3337 3097/3350 2648/3348 2510/3196 +f 2916/3199 2941/3351 2651/3347 2513/3155 +f 3096/3352 3067/3160 2509/3153 2647/3346 +f 2508/3175 2645/3343 2652/3353 2518/3176 +f 3097/3350 3098/3354 2656/3355 2648/3348 +f 3096/3352 2647/3346 2656/3355 3098/3354 +f 2647/3346 2651/3347 2655/3356 2656/3355 +f 2656/3355 2655/3356 2650/3349 2648/3348 +f 2942/3357 2645/3343 2649/3342 2940/3345 +f 2942/3357 2655/3356 2651/3347 2941/3351 +f 2925/3297 2943/3210 2661/3211 2558/3300 +f 2561/3299 2662/3212 2660/3213 2555/3296 +f 2639/3201 2666/3214 2659/3217 2531/3202 +f 2559/3301 2657/3239 2658/3242 2557/3298 +f 3073/3206 3099/3247 2663/3250 2533/3207 +f 2926/3295 2944/3273 2664/3274 2556/3253 +f 2558/3300 2661/3211 2662/3212 2561/3299 +f 2533/3205 2663/3279 2664/3274 2537/3148 +f 2531/3202 2659/3217 2665/3316 2618/3313 +f 3093/3334 3100/3339 2666/3214 2639/3201 +f 2728/3358 2667/3359 2670/3360 2723/3361 +f 2729/3362 2669/3363 2668/3364 2724/3365 +f 2726/3366 2688/3367 2669/3363 2729/3362 +f 2752/3368 2716/3369 2671/3370 2747/3371 +f 2725/3372 2724/3365 2668/3364 2672/3373 +f 2716/3374 2718/3375 2667/3359 2671/3376 +f 2704/3377 2743/3378 2741/3379 2703/3380 +f 2700/3381 2744/3382 2745/3383 2706/3384 +f 2750/3385 2756/3386 2740/3387 2696/3388 +f 2706/3384 2745/3383 2746/3389 2705/3390 +f 2703/3380 2741/3379 2744/3382 2700/3381 +f 2691/3391 2674/3392 2673/3393 2692/3394 +f 2683/3395 2675/3396 2673/3393 2687/3397 +f 2695/3398 2677/3399 2676/3400 2693/3401 +f 2749/3402 2748/3403 2675/3404 2683/3405 +f 2693/3401 2676/3400 2679/3406 2694/3407 +f 2761/3408 2766/3409 2678/3410 2681/3411 +f 2697/3412 2680/3413 2674/3392 2691/3391 +f 2694/3407 2679/3406 2680/3413 2697/3412 +f 2679/3406 2685/3414 2682/3415 2680/3413 +f 2680/3413 2682/3415 2689/3416 2674/3392 +f 2723/3361 2670/3360 2688/3367 2726/3366 +f 2764/3417 2715/3418 2690/3419 2765/3420 +f 2766/3409 2760/3421 2698/3422 2678/3410 +f 2676/3400 2686/3423 2685/3414 2679/3406 +f 2748/3403 2750/3385 2696/3388 2675/3404 +f 2677/3399 2684/3424 2686/3423 2676/3400 +f 2675/3396 2696/3425 2692/3394 2673/3393 +f 2674/3392 2689/3416 2687/3397 2673/3393 +f 2759/3426 2763/3427 2699/3428 2739/3429 +f 2740/3430 2701/3431 2705/3390 2746/3389 +f 2743/3378 2693/3401 2694/3407 2741/3379 +f 2756/3386 2751/3432 2701/3433 2740/3387 +f 2741/3379 2694/3407 2697/3412 2744/3382 +f 2742/3434 2695/3398 2693/3401 2743/3378 +f 2744/3382 2697/3412 2691/3391 2745/3383 +f 2745/3383 2691/3391 2692/3394 2746/3389 +f 2780/3435 2704/3377 2703/3380 2783/3436 +f 2784/3437 2700/3381 2706/3384 2782/3438 +f 2788/3439 2762/3440 2714/3441 2781/3442 +f 2779/3443 2702/3444 2704/3377 2780/3435 +f 2787/3445 2753/3446 2712/3447 2785/3448 +f 2738/3449 2736/3450 2708/3451 2712/3452 +f 2669/3363 2720/3453 2719/3454 2668/3364 +f 2782/3438 2706/3384 2705/3390 2786/3455 +f 2783/3436 2703/3380 2700/3381 2784/3437 +f 2757/3456 2735/3457 2714/3441 2762/3440 +f 2667/3359 2718/3375 2717/3458 2670/3360 +f 2688/3367 2721/3459 2720/3453 2669/3363 +f 2672/3373 2668/3364 2719/3454 2722/3460 +f 2755/3461 2738/3462 2712/3447 2753/3446 +f 2785/3463 2712/3452 2708/3451 2786/3455 +f 2670/3360 2717/3458 2721/3459 2688/3367 +f 2736/3450 2728/3358 2723/3361 2731/3464 +f 2737/3465 2729/3362 2724/3365 2732/3466 +f 2734/3467 2726/3366 2729/3362 2737/3465 +f 2733/3468 2732/3466 2724/3365 2725/3372 +f 2731/3464 2723/3361 2726/3366 2734/3467 +f 2671/3376 2667/3359 2728/3358 2730/3469 +f 2765/3420 2690/3419 2727/3470 2758/3471 +f 2747/3371 2671/3370 2730/3472 2754/3473 +f 2730/3469 2728/3358 2736/3450 2738/3449 +f 2758/3471 2727/3470 2735/3457 2757/3456 +f 2754/3473 2730/3472 2738/3462 2755/3461 +f 2708/3451 2736/3450 2731/3464 2707/3474 +f 2710/3475 2737/3465 2732/3466 2709/3476 +f 2713/3477 2734/3467 2737/3465 2710/3475 +f 2711/3478 2709/3476 2732/3466 2733/3468 +f 2707/3474 2731/3464 2734/3467 2713/3477 +f 2702/3444 2742/3434 2743/3378 2704/3377 +f 2760/3421 2759/3426 2739/3429 2698/3422 +f 2696/3425 2740/3430 2746/3389 2692/3394 +f 2715/3418 2752/3368 2747/3371 2690/3419 +f 2698/3422 2739/3429 2756/3386 2750/3385 +f 2681/3411 2678/3410 2748/3403 2749/3402 +f 2678/3410 2698/3422 2750/3385 2748/3403 +f 2739/3429 2699/3428 2751/3432 2756/3386 +f 2781/3442 2714/3441 2753/3446 2787/3445 +f 2735/3457 2755/3461 2753/3446 2714/3441 +f 2690/3419 2747/3371 2754/3473 2727/3470 +f 2727/3470 2754/3473 2755/3461 2735/3457 +f 2733/3479 2757/3456 2762/3440 2711/3480 +f 2677/3481 2695/3482 2760/3421 2766/3409 +f 2672/3483 2765/3420 2758/3471 2725/3484 +f 2742/3485 2702/3486 2763/3427 2759/3426 +f 2722/3487 2764/3417 2765/3420 2672/3483 +f 2695/3482 2742/3485 2759/3426 2760/3421 +f 2684/3488 2677/3481 2766/3409 2761/3408 +f 2725/3484 2758/3471 2757/3456 2733/3479 +f 2779/3489 2711/3480 2762/3440 2788/3439 +f 2776/3490 2761/3491 2681/3492 2768/3493 +f 2685/3414 2771/3494 2767/3495 2682/3415 +f 2749/3496 2775/3497 2768/3493 2681/3492 +f 2686/3423 2772/3498 2771/3494 2685/3414 +f 2769/3499 2683/3395 2687/3397 2773/3500 +f 2684/3424 2770/3501 2772/3498 2686/3423 +f 2761/3491 2776/3490 2770/3501 2684/3424 +f 2689/3416 2774/3502 2773/3500 2687/3397 +f 2775/3497 2749/3496 2683/3395 2769/3499 +f 2682/3415 2767/3495 2774/3502 2689/3416 +f 2776/3490 2768/3493 2778/3503 2770/3501 +f 2775/3497 2769/3499 2778/3503 2768/3493 +f 2769/3499 2773/3500 2777/3504 2778/3503 +f 2778/3503 2777/3504 2772/3498 2770/3501 +f 2777/3504 2767/3495 2771/3494 2772/3498 +f 2767/3495 2777/3504 2773/3500 2774/3502 +f 2709/3476 2780/3435 2783/3436 2710/3475 +f 2713/3477 2784/3437 2782/3438 2707/3474 +f 2763/3427 2788/3439 2781/3442 2699/3428 +f 2711/3478 2779/3443 2780/3435 2709/3476 +f 2751/3432 2787/3445 2785/3448 2701/3433 +f 2707/3474 2782/3438 2786/3455 2708/3451 +f 2710/3475 2783/3436 2784/3437 2713/3477 +f 2701/3431 2785/3463 2786/3455 2705/3390 +f 2699/3428 2781/3442 2787/3445 2751/3432 +f 2702/3486 2779/3489 2788/3439 2763/3427 +f 2005/2368 1906/2379 2792/2160 2814/2159 +f 1973/2170 1904/2169 2791/2164 2813/2163 +f 3256/2224 1913/3505 2794/2176 3266/2175 +f 3258/2174 1911/2173 2793/2180 3267/2179 +f 2016/2387 1899/2221 2789/2184 2817/2183 +f 2017/2194 1901/2193 2790/2188 2818/2187 +f 2000/2323 2815/2229 2792/2160 1906/2379 +f 2008/2200 2816/2231 2791/2164 1904/2169 +f 1960/2339 2031/2307 2821/2234 2812/2233 +f 1962/2240 2033/2239 2822/2246 2807/2245 +f 1947/2275 1924/2274 2797/2250 2802/2249 +f 1949/2259 1926/2258 2798/2265 2801/2264 +f 1926/2258 1936/2295 2800/2293 2798/2265 +f 1924/2274 1942/2278 2799/2297 2797/2250 +f 2031/2307 1949/2259 2801/2264 2821/2234 +f 2033/2239 1947/2275 2802/2249 2822/2246 +f 2082/2340 1960/2339 2812/2233 2826/2308 +f 1907/2225 2795/2325 2803/2328 1968/2227 +f 1909/2317 2796/2329 2804/2330 1964/2318 +f 1996/2336 1991/2335 2805/2342 2810/2341 +f 1901/2193 1996/2336 2810/2341 2790/2188 +f 1990/2220 1994/2369 2806/2364 2811/2363 +f 2084/2311 1962/2240 2807/2245 2827/2371 +f 1968/2227 2803/2328 2815/2229 2000/2323 +f 1899/2221 1990/2220 2811/2363 2789/2184 +f 1991/2335 1973/2170 2813/2163 2805/2342 +f 1964/2318 2804/2330 2816/2231 2008/2200 +f 1994/2369 2005/2368 2814/2159 2806/2364 +f 2024/2350 2016/2387 2817/2183 2819/2380 +f 2025/2385 2017/2194 2818/2187 2820/2382 +f 1980/2351 2024/2350 2819/2380 2809/2393 +f 1982/2398 2025/2385 2820/2382 2808/2395 +f 1936/2295 2074/2448 2823/2444 2800/2293 +f 1942/2278 2076/2454 2824/2451 2799/2297 +f 2079/2457 2825/2458 2823/2444 2074/2448 +f 2069/2441 2825/2458 2824/2451 2076/2454 +f 1981/2396 2082/2340 2826/2308 2808/2395 +f 1979/2394 2084/2311 2827/2371 2809/2393 +f 2197/2668 2098/2679 2831/2460 2853/2459 +f 2165/2470 2096/2469 2830/2464 2852/2463 +f 3307/2524 2105/3506 2833/2476 3275/2475 +f 3305/2474 2103/2473 2832/2480 3274/2479 +f 2208/2687 2091/2521 2828/2484 2856/2483 +f 2209/2494 2093/2493 2829/2488 2857/2487 +f 2192/2623 2854/2529 2831/2460 2098/2679 +f 2200/2500 2855/2531 2830/2464 2096/2469 +f 2152/2639 2223/2607 2860/2534 2851/2533 +f 2154/2540 2225/2539 2861/2546 2846/2545 +f 2139/2575 2116/2574 2836/2550 2841/2549 +f 2141/2559 2118/2558 2837/2565 2840/2564 +f 2118/2558 2128/2595 2839/2593 2837/2565 +f 2116/2574 2134/2578 2838/2597 2836/2550 +f 2223/2607 2141/2559 2840/2564 2860/2534 +f 2225/2539 2139/2575 2841/2549 2861/2546 +f 2274/2640 2152/2639 2851/2533 2865/2608 +f 2099/2525 2834/2625 2842/2628 2160/2527 +f 2101/2617 2835/2629 2843/2630 2156/2618 +f 2188/2636 2183/2635 2844/2642 2849/2641 +f 2093/2493 2188/2636 2849/2641 2829/2488 +f 2182/2520 2186/2669 2845/2664 2850/2663 +f 2276/2611 2154/2540 2846/2545 2866/2671 +f 2160/2527 2842/2628 2854/2529 2192/2623 +f 2091/2521 2182/2520 2850/2663 2828/2484 +f 2183/2635 2165/2470 2852/2463 2844/2642 +f 2156/2618 2843/2630 2855/2531 2200/2500 +f 2186/2669 2197/2668 2853/2459 2845/2664 +f 2216/2650 2208/2687 2856/2483 2858/2680 +f 2217/2685 2209/2494 2857/2487 2859/2682 +f 2172/2651 2216/2650 2858/2680 2848/2693 +f 2174/2698 2217/2685 2859/2682 2847/2695 +f 2128/2595 2266/2748 2862/2744 2839/2593 +f 2134/2578 2268/2754 2863/2751 2838/2597 +f 2271/2757 2864/2758 2862/2744 2266/2748 +f 2261/2741 2864/2758 2863/2751 2268/2754 +f 2173/2696 2274/2640 2865/2608 2847/2695 +f 2171/2694 2276/2611 2866/2671 2848/2693 +f 2389/2968 2290/2979 2870/2760 2892/2759 +f 2357/2770 2288/2769 2869/2764 2891/2763 +f 3286/2824 2297/3507 2872/2776 3290/2775 +f 3296/2774 2295/2773 2871/2780 3291/2779 +f 2400/2987 2283/2821 2867/2784 2895/2783 +f 2401/2794 2285/2793 2868/2788 2896/2787 +f 2384/2923 2893/2829 2870/2760 2290/2979 +f 2392/2800 2894/2831 2869/2764 2288/2769 +f 2344/2939 2415/2907 2899/2834 2890/2833 +f 2346/2840 2417/2839 2900/2846 2885/2845 +f 2331/2875 2308/2874 2875/2850 2880/2849 +f 2333/2859 2310/2858 2876/2865 2879/2864 +f 2310/2858 2320/2895 2878/2893 2876/2865 +f 2308/2874 2326/2878 2877/2897 2875/2850 +f 2415/2907 2333/2859 2879/2864 2899/2834 +f 2417/2839 2331/2875 2880/2849 2900/2846 +f 2466/2940 2344/2939 2890/2833 2904/2908 +f 2291/2825 2873/2925 2881/2928 2352/2827 +f 2293/2917 2874/2929 2882/2930 2348/2918 +f 2380/2936 2375/2935 2883/2942 2888/2941 +f 2285/2793 2380/2936 2888/2941 2868/2788 +f 2374/2820 2378/2969 2884/2964 2889/2963 +f 2468/2911 2346/2840 2885/2845 2905/2971 +f 2352/2827 2881/2928 2893/2829 2384/2923 +f 2283/2821 2374/2820 2889/2963 2867/2784 +f 2375/2935 2357/2770 2891/2763 2883/2942 +f 2348/2918 2882/2930 2894/2831 2392/2800 +f 2378/2969 2389/2968 2892/2759 2884/2964 +f 2408/2950 2400/2987 2895/2783 2897/2980 +f 2409/2985 2401/2794 2896/2787 2898/2982 +f 2364/2951 2408/2950 2897/2980 2887/2993 +f 2366/2998 2409/2985 2898/2982 2886/2995 +f 2320/2895 2458/3048 2901/3044 2878/2893 +f 2326/2878 2460/3054 2902/3051 2877/2897 +f 2463/3057 2903/3058 2901/3044 2458/3048 +f 2453/3041 2903/3058 2902/3051 2460/3054 +f 2365/2996 2466/2940 2904/2908 2886/2995 +f 2363/2994 2468/2911 2905/2971 2887/2993 +f 2581/3270 2482/3281 2909/3060 2931/3059 +f 2549/3070 2480/3069 2908/3064 2930/3063 +f 3293/3124 2489/3508 2911/3076 3303/3075 +f 3279/3074 2487/3073 2910/3080 3302/3079 +f 2592/3289 2475/3121 2906/3084 2934/3083 +f 2593/3094 2477/3093 2907/3088 2935/3087 +f 2576/3225 2932/3129 2909/3060 2482/3281 +f 2584/3100 2933/3131 2908/3064 2480/3069 +f 2536/3241 2607/3209 2938/3134 2929/3133 +f 2538/3140 2609/3139 2939/3146 2924/3145 +f 2523/3173 2500/3172 2914/3150 2919/3149 +f 2525/3159 2502/3158 2915/3163 2918/3162 +f 2502/3158 2512/3197 2917/3193 2915/3163 +f 2500/3172 2518/3176 2916/3199 2914/3150 +f 2607/3209 2525/3159 2918/3162 2938/3134 +f 2609/3139 2523/3173 2919/3149 2939/3146 +f 2658/3242 2536/3241 2929/3133 2943/3210 +f 2483/3125 2912/3227 2920/3230 2544/3127 +f 2485/3219 2913/3231 2921/3232 2540/3220 +f 2572/3238 2567/3237 2922/3244 2927/3243 +f 2477/3093 2572/3238 2927/3243 2907/3088 +f 2566/3120 2570/3271 2923/3266 2928/3265 +f 2660/3213 2538/3140 2924/3145 2944/3273 +f 2544/3127 2920/3230 2932/3129 2576/3225 +f 2475/3121 2566/3120 2928/3265 2906/3084 +f 2567/3237 2549/3070 2930/3063 2922/3244 +f 2540/3220 2921/3232 2933/3131 2584/3100 +f 2570/3271 2581/3270 2931/3059 2923/3266 +f 2600/3252 2592/3289 2934/3083 2936/3282 +f 2601/3287 2593/3094 2935/3087 2937/3284 +f 2556/3253 2600/3252 2936/3282 2926/3295 +f 2558/3300 2601/3287 2937/3284 2925/3297 +f 2512/3197 2650/3349 2940/3345 2917/3193 +f 2518/3176 2652/3353 2941/3351 2916/3199 +f 2655/3356 2942/3357 2940/3345 2650/3349 +f 2645/3343 2942/3357 2941/3351 2652/3353 +f 2557/3298 2658/3242 2943/3210 2925/3297 +f 2555/3296 2660/3213 2944/3273 2926/3295 +f 2045/2400 2959/2195 2945/2198 2035/2401 +f 2047/2402 2961/2201 2946/2204 2036/2403 +f 3264/2404 3268/2205 2948/2208 2038/2405 +f 2041/2407 2051/2406 2967/2242 2955/2241 +f 2040/2409 2039/2408 2966/2261 2950/2260 +f 2039/2408 2041/2407 2955/2241 2966/2261 +f 2051/2406 2042/2410 2956/2304 2967/2242 +f 2038/2405 2948/2208 2957/2321 2043/2411 +f 2089/2413 2046/2412 2960/2346 2982/2345 +f 2048/2414 2962/2353 2958/2356 2044/2415 +f 2050/2416 2964/2375 2960/2346 2046/2412 +f 2044/2415 2958/2356 2959/2195 2045/2400 +f 2043/2411 2957/2321 2961/2201 2047/2402 +f 2036/2403 2946/2204 2962/2353 2048/2414 +f 2035/2401 2945/2198 2963/2392 2049/2417 +f 2049/2417 2963/2392 2964/2375 2050/2416 +f 1966/3509 2972/2418 2970/2419 2010/3510 +f 3260/3511 3269/2420 2954/2421 1918/3512 +f 1918/3512 2954/2421 2972/2418 1966/3509 +f 2021/3513 2968/2422 2975/2423 1983/3514 +f 1927/3515 1951/3516 2974/2425 2949/2424 +f 1919/3517 2952/2426 2969/2427 1972/3518 +f 1920/3519 2951/2428 2971/2429 2013/3520 +f 2030/3521 1958/3522 2976/2431 2965/2430 +f 1998/3523 2977/2432 2951/2428 1920/3519 +f 2010/3510 2970/2419 2952/2426 1919/3517 +f 1978/3524 2978/2433 2977/2432 1998/3523 +f 1951/3516 2030/3521 2965/2430 2974/2425 +f 1934/3525 1927/3515 2949/2424 2973/2434 +f 2013/3520 2971/2429 2968/2422 2021/3513 +f 2081/3526 1983/3514 2975/2423 2983/2435 +f 1972/3518 2969/2427 2978/2433 1978/3524 +f 2059/2437 2078/2436 2980/2450 2973/2449 +f 2077/2443 2040/2442 2950/2453 2979/2452 +f 2078/2436 2070/2439 2981/2455 2980/2450 +f 2077/2443 2979/2452 2981/2455 2070/2439 +f 2042/2410 2089/2413 2982/2345 2956/2304 +f 1958/3522 2081/3526 2983/2435 2976/2431 +f 2237/2700 2998/2495 2984/2498 2227/2701 +f 2239/2702 3000/2501 2985/2504 2228/2703 +f 3277/2704 3281/2505 2987/2508 2230/2705 +f 2233/2707 2243/2706 3006/2542 2994/2541 +f 2232/2709 2231/2708 3005/2561 2989/2560 +f 2231/2708 2233/2707 2994/2541 3005/2561 +f 2243/2706 2234/2710 2995/2604 3006/2542 +f 2230/2705 2987/2508 2996/2621 2235/2711 +f 2281/2713 2238/2712 2999/2646 3021/2645 +f 2240/2714 3001/2653 2997/2656 2236/2715 +f 2242/2716 3003/2675 2999/2646 2238/2712 +f 2236/2715 2997/2656 2998/2495 2237/2700 +f 2235/2711 2996/2621 3000/2501 2239/2702 +f 2228/2703 2985/2504 3001/2653 2240/2714 +f 2227/2701 2984/2498 3002/2692 2241/2717 +f 2241/2717 3002/2692 3003/2675 2242/2716 +f 2158/3527 3011/2718 3009/2719 2202/3528 +f 3273/3529 3280/2720 2993/2721 2110/3530 +f 2110/3530 2993/2721 3011/2718 2158/3527 +f 2213/3531 3007/2722 3014/2723 2175/3532 +f 2119/3533 2143/3534 3013/2725 2988/2724 +f 2111/3535 2991/2726 3008/2727 2164/3536 +f 2112/3537 2990/2728 3010/2729 2205/3538 +f 2222/3539 2150/3540 3015/2731 3004/2730 +f 2190/3541 3016/2732 2990/2728 2112/3537 +f 2202/3528 3009/2719 2991/2726 2111/3535 +f 2170/3542 3017/2733 3016/2732 2190/3541 +f 2143/3534 2222/3539 3004/2730 3013/2725 +f 2126/3543 2119/3533 2988/2724 3012/2734 +f 2205/3538 3010/2729 3007/2722 2213/3531 +f 2273/3544 2175/3532 3014/2723 3022/2735 +f 2164/3536 3008/2727 3017/2733 2170/3542 +f 2251/2737 2270/2736 3019/2750 3012/2749 +f 2269/2743 2232/2742 2989/2753 3018/2752 +f 2270/2736 2262/2739 3020/2755 3019/2750 +f 2269/2743 3018/2752 3020/2755 2262/2739 +f 2234/2710 2281/2713 3021/2645 2995/2604 +f 2150/3540 2273/3544 3022/2735 3015/2731 +f 2429/3000 3037/2795 3023/2798 2419/3001 +f 2431/3002 3039/2801 3024/2804 2420/3003 +f 3288/3004 3282/2805 3026/2808 2422/3005 +f 2425/3007 2435/3006 3045/2842 3033/2841 +f 2424/3009 2423/3008 3044/2861 3028/2860 +f 2423/3008 2425/3007 3033/2841 3044/2861 +f 2435/3006 2426/3010 3034/2904 3045/2842 +f 2422/3005 3026/2808 3035/2921 2427/3011 +f 2473/3013 2430/3012 3038/2946 3060/2945 +f 2432/3014 3040/2953 3036/2956 2428/3015 +f 2434/3016 3042/2975 3038/2946 2430/3012 +f 2428/3015 3036/2956 3037/2795 2429/3000 +f 2427/3011 3035/2921 3039/2801 2431/3002 +f 2420/3003 3024/2804 3040/2953 2432/3014 +f 2419/3001 3023/2798 3041/2992 2433/3017 +f 2433/3017 3041/2992 3042/2975 2434/3016 +f 2350/3545 3050/3018 3048/3019 2394/3546 +f 3284/3547 3283/3020 3032/3021 2302/3548 +f 2302/3548 3032/3021 3050/3018 2350/3545 +f 2405/3549 3046/3022 3053/3023 2367/3550 +f 2311/3551 2335/3552 3052/3025 3027/3024 +f 2303/3553 3030/3026 3047/3027 2356/3554 +f 2304/3555 3029/3028 3049/3029 2397/3556 +f 2414/3557 2342/3558 3054/3031 3043/3030 +f 2382/3559 3055/3032 3029/3028 2304/3555 +f 2394/3546 3048/3019 3030/3026 2303/3553 +f 2362/3560 3056/3033 3055/3032 2382/3559 +f 2335/3552 2414/3557 3043/3030 3052/3025 +f 2318/3561 2311/3551 3027/3024 3051/3034 +f 2397/3556 3049/3029 3046/3022 2405/3549 +f 2465/3562 2367/3550 3053/3023 3061/3035 +f 2356/3554 3047/3027 3056/3033 2362/3560 +f 2443/3037 2462/3036 3058/3050 3051/3049 +f 2461/3043 2424/3042 3028/3053 3057/3052 +f 2462/3036 2454/3039 3059/3055 3058/3050 +f 2461/3043 3057/3052 3059/3055 2454/3039 +f 2426/3010 2473/3013 3060/2945 3034/2904 +f 2342/3558 2465/3562 3061/3035 3054/3031 +f 2621/3302 3076/3095 3062/3098 2611/3303 +f 2623/3304 3078/3101 3063/3104 2612/3305 +f 3311/3306 3299/3105 3065/3108 2614/3307 +f 2617/3309 2627/3308 3084/3142 3072/3141 +f 2616/3311 2615/3310 3083/3161 3067/3160 +f 2615/3312 2617/3309 3072/3141 3083/3194 +f 2627/3308 2618/3313 3073/3206 3084/3142 +f 2614/3307 3065/3108 3074/3223 2619/3314 +f 2665/3316 2622/3315 3077/3248 3099/3247 +f 2624/3317 3079/3255 3075/3258 2620/3318 +f 2626/3319 3081/3277 3077/3248 2622/3315 +f 2620/3318 3075/3258 3076/3095 2621/3302 +f 2619/3314 3074/3223 3078/3101 2623/3304 +f 2612/3305 3063/3104 3079/3255 2624/3317 +f 2611/3303 3062/3098 3080/3294 2625/3320 +f 2625/3320 3080/3294 3081/3277 2626/3319 +f 2542/3109 3089/3321 3087/3322 2586/3224 +f 3308/3115 3298/3323 3071/3324 2494/3112 +f 2494/3112 3071/3324 3089/3321 2542/3109 +f 2597/3288 3085/3325 3092/3326 2559/3301 +f 2503/3157 2527/3156 3091/3328 3066/3327 +f 2495/3118 3069/3329 3086/3330 2548/3117 +f 2496/3114 3068/3331 3088/3332 2589/3113 +f 2606/3208 2534/3240 3093/3334 3082/3333 +f 2574/3267 3094/3335 3068/3331 2496/3114 +f 2586/3224 3087/3322 3069/3329 2495/3118 +f 2554/3268 3095/3336 3094/3335 2574/3267 +f 2527/3156 2606/3208 3082/3333 3091/3328 +f 2510/3196 2503/3157 3066/3338 3090/3337 +f 2589/3113 3088/3332 3085/3325 2597/3288 +f 2657/3239 2559/3301 3092/3326 3100/3339 +f 2548/3117 3086/3330 3095/3336 2554/3268 +f 2635/3166 2654/3340 3097/3350 3090/3337 +f 2653/3344 2616/3311 3067/3160 3096/3352 +f 2654/3340 2646/3341 3098/3354 3097/3350 +f 2653/3344 3096/3352 3098/3354 2646/3341 +f 2618/3313 2665/3316 3099/3247 3073/3206 +f 2534/3240 2657/3239 3100/3339 3093/3334 +f 2324/2772 3117/3563 3116/3564 2295/2773 +f 2257/3565 3114/3566 3112/3567 2137/3568 +f 3125/3569 2516/3072 2486/3077 3121/3570 +f 3132/3571 3070/3572 2493/3116 3124/3573 +f 2794/2176 3129/3574 3101/3575 1910/2177 +f 3131/3576 2947/3577 2037/3578 3107/3579 +f 2516/3072 3125/3569 3122/3580 2487/3073 +f 3130/3581 2910/3080 2487/3073 3122/3580 +f 2641/3582 3128/3583 3126/3584 2521/3585 +f 3070/3572 3132/3571 3128/3583 2641/3582 +f 2449/3586 3120/3587 3118/3588 2329/3589 +f 3129/3574 2794/2176 1913/3505 3103/3590 +f 3113/3591 2229/3592 2137/3568 3112/3567 +f 3111/3593 2132/2472 2102/2477 3109/3594 +f 3107/3579 2037/3578 1945/3595 3106/3596 +f 3127/3597 2613/3598 2521/3585 3126/3584 +f 2947/3577 3131/3576 3104/3599 1921/3600 +f 3119/3601 2421/3602 2329/3589 3118/3588 +f 2132/2472 3111/3593 3110/3603 2103/2473 +f 3105/3604 1940/2172 1910/2177 3101/3575 +f 3103/3590 1913/3505 1921/3605 3104/3606 +f 3124/3573 2493/3116 2488/3081 3123/3607 +f 2910/3080 3130/3581 3123/3607 2488/3081 +f 2065/3608 3108/3609 3106/3596 1945/3595 +f 3117/3563 2324/2772 2294/2777 3115/3610 +f 1940/2172 3105/3604 3102/3611 1911/2173 +f 3811/3612 3119/3601 3118/3588 3810/3613 +f 3814/3614 3145/3615 3143/3616 3813/3617 +f 3815/3618 3127/3597 3126/3584 3816/3619 +f 3154/3620 3209/3621 3191/3622 3156/3623 +f 3809/3624 3113/3591 3112/3567 3813/3617 +f 3819/3625 3151/3626 3149/3627 3810/3613 +f 3818/3628 3139/3629 3137/3630 3812/3631 +f 3165/3632 3139/3629 3144/3633 3168/3634 +f 3151/3626 3157/3635 3662/3636 3160/3637 +f 2871/2780 2295/2773 3116/3564 3255/3638 +f 3165/3632 3164/3639 3137/3630 3139/3629 +f 3165/3632 3181/3640 3178/3641 3164/3639 +f 3145/3615 3169/3642 3167/3643 3143/3616 +f 3177/3644 3158/3645 3135/3646 3161/3647 +f 3168/3634 3144/3633 3143/3616 3167/3643 +f 3195/3648 3115/3610 2294/2777 2872/2776 +f 3187/3649 3185/3650 3221/3651 3160/3637 +f 3183/3652 3168/3634 3167/3643 3182/3653 +f 3160/3637 3221/3651 3149/3627 3151/3626 +f 3169/3642 3184/3654 3182/3653 3167/3643 +f 3210/3655 3192/3656 3188/3657 3207/3658 +f 3250/3659 3198/3660 3214/3661 3244/3662 +f 3192/3656 3210/3655 3208/3663 3189/3664 +f 3244/3662 3214/3661 3224/3665 3225/3666 +f 3216/3667 3226/3668 3225/3666 3224/3665 +f 3871/3669 3666/3670 3236/3671 3855/3672 +f 3200/3673 3245/3674 3226/3668 3216/3667 +f 3666/3670 3674/3675 3233/3676 3236/3671 +f 3198/3660 3250/3659 3243/3677 3215/3678 +f 3667/3679 3247/3680 3253/3681 3676/3682 +f 3668/3683 3239/3684 3228/3685 3672/3686 +f 3669/3687 3246/3688 3240/3689 3664/3690 +f 3676/3682 3253/3681 3196/3691 3673/3692 +f 3243/3677 3254/3693 3175/3694 3249/3695 +f 2832/2480 2103/2473 3110/3603 3238/3696 +f 3672/3686 3228/3685 3231/3697 3664/3690 +f 3663/3698 3252/3699 3246/3688 3669/3687 +f 3668/3683 3176/3700 3247/3680 3667/3679 +f 3222/3701 3244/3662 3225/3666 3174/3702 +f 3249/3695 3175/3694 3162/3703 3251/3704 +f 3582/3705 3581/3706 3188/3657 3192/3656 +f 3215/3678 3243/3677 3249/3695 3199/3707 +f 3188/3657 3581/3706 3213/3708 3245/3674 +f 1941/2316 3262/2171 3258/2174 1909/2317 +f 2795/2325 3266/2175 3257/2178 1914/2326 +f 2796/2329 3267/2179 3259/2182 1908/2211 +f 2947/3577 1921/3600 3261/2206 3268/2205 +f 1918/2212 1908/2211 3259/2182 3260/2215 +f 1921/3605 1913/3505 3256/2224 3261/2223 +f 1914/2326 3257/2178 3262/2171 1941/2316 +f 2065/3608 1945/3595 3263/2288 3265/2287 +f 1945/3595 2037/3578 3264/2404 3263/2288 +f 2953/3709 2065/3608 3265/2287 3269/2420 +f 1907/2225 3256/2224 3266/2175 2795/2325 +f 1909/2317 3258/2174 3267/2179 2796/2329 +f 2037/3578 2947/3577 3268/2205 3264/2404 +f 1917/3710 2953/3709 3269/2420 3260/3511 +f 2992/3711 2257/3565 3276/2587 3280/2720 +f 2834/2625 3275/2475 3306/2478 2106/2626 +f 2835/2629 3274/2479 3304/2482 2100/2511 +f 2110/2512 2100/2511 3304/2482 3273/2515 +f 2302/2812 2292/2811 3297/2782 3284/2815 +f 2986/3712 2113/3713 3272/2506 3281/2505 +f 3031/3714 2449/3586 3289/2887 3283/3020 +f 2329/3589 2421/3602 3288/3004 3295/2888 +f 2257/3565 2137/3568 3270/2588 3276/2587 +f 2298/2926 3287/2778 3294/2771 2325/2916 +f 2229/3592 2986/3712 3281/2505 3277/2704 +f 2101/2617 3305/2474 3274/2479 2835/2629 +f 2874/2929 3291/2779 3297/2782 2292/2811 +f 2099/2525 3307/2524 3275/2475 2834/2625 +f 2873/2925 3290/2775 3287/2778 2298/2926 +f 2109/3715 2992/3711 3280/2720 3273/3529 +f 2137/3568 2229/3592 3277/2704 3270/2588 +f 2521/3585 2613/3598 3311/3306 3300/3186 +f 2106/2626 3306/2478 3271/2471 2133/2616 +f 2113/3716 2105/3506 3307/2524 3272/2523 +f 2421/3602 3025/3717 3282/2805 3288/3004 +f 2133/2616 3271/2471 3305/2474 2101/2617 +f 2301/3718 3031/3714 3283/3020 3284/3547 +f 2641/3582 2521/3585 3300/3186 3310/3185 +f 3025/3717 2305/3719 3285/2806 3282/2805 +f 2517/3218 3301/3071 3279/3074 2485/3219 +f 3064/3720 2497/3721 3309/3106 3299/3105 +f 2912/3227 3303/3075 3292/3078 2490/3228 +f 2293/2917 3296/2774 3291/2779 2874/2929 +f 2305/3722 2297/3507 3286/2824 3285/2823 +f 2325/2916 3294/2771 3296/2774 2293/2917 +f 2291/2825 3286/2824 3290/2775 2873/2925 +f 2449/3586 2329/3589 3295/2888 3289/2887 +f 2485/3219 3279/3074 3302/3079 2913/3231 +f 2490/3228 3292/3078 3301/3071 2517/3218 +f 2613/3598 3064/3720 3299/3105 3311/3306 +f 3070/3572 2641/3582 3310/3185 3298/3323 +f 2483/3125 3293/3124 3303/3075 2912/3227 +f 2493/3116 3070/3572 3298/3323 3308/3115 +f 2497/3723 2489/3508 3293/3124 3309/3123 +f 2913/3231 3302/3079 3278/3082 2484/3111 +f 2494/3112 2484/3111 3278/3082 3308/3115 +f 3327/3724 1761/2004 1751/2003 3317/3725 +f 3320/3726 1754/2005 1753/2006 3319/3727 +f 3312/3728 1746/2007 1756/2008 3322/3729 +f 3319/3727 1753/2006 1757/2009 3323/3730 +f 1749/2010 3315/3731 3316/3732 1750/2011 +f 1762/2012 3328/3733 3324/3734 1758/2013 +f 3323/3730 1757/2009 1758/2013 3324/3734 +f 1750/2011 3316/3732 3317/3725 1751/2003 +f 3856/3735 3854/2015 1759/2014 3325/3736 +f 3318/3737 1752/2016 1746/2007 3312/3728 +f 1752/2016 3318/3737 3313/3738 1747/2017 +f 3325/3736 1759/2014 1760/2018 3326/3739 +f 3322/3729 1756/2008 1755/2019 3321/3740 +f 1747/2017 3313/3738 3314/3741 1748/2020 +f 3326/3739 1760/2018 1761/2004 3327/3724 +f 3321/3740 1755/2019 1754/2005 3320/3726 +f 3340/3742 3323/3730 3324/3734 3341/3743 +f 3316/3732 3333/3744 3334/3745 3317/3725 +f 3857/3746 3856/3735 3325/3736 3342/3747 +f 3335/3748 3318/3737 3312/3728 3329/3749 +f 3318/3737 3335/3748 3330/3750 3313/3738 +f 3342/3747 3325/3736 3326/3739 3343/3751 +f 3339/3752 3322/3729 3321/3740 3338/3753 +f 3313/3738 3330/3750 3331/3754 3314/3741 +f 3343/3751 3326/3739 3327/3724 3344/3755 +f 3338/3753 3321/3740 3320/3726 3337/3756 +f 3344/3755 3327/3724 3317/3725 3334/3745 +f 3337/3756 3320/3726 3319/3727 3336/3757 +f 3329/3749 3312/3728 3322/3729 3339/3752 +f 3336/3757 3319/3727 3323/3730 3340/3742 +f 3315/3731 3332/3758 3333/3744 3316/3732 +f 3328/3733 3345/3759 3341/3743 3324/3734 +f 3858/3760 3857/3746 3342/3747 3359/3761 +f 3352/3762 3335/3748 3329/3749 3346/3763 +f 3335/3748 3352/3762 3347/3764 3330/3750 +f 3359/3761 3342/3747 3343/3751 3360/3765 +f 3356/3766 3339/3752 3338/3753 3355/3767 +f 3330/3750 3347/3764 3348/3768 3331/3754 +f 3360/3765 3343/3751 3344/3755 3361/3769 +f 3355/3767 3338/3753 3337/3756 3354/3770 +f 3361/3769 3344/3755 3334/3745 3351/3771 +f 3354/3770 3337/3756 3336/3757 3353/3772 +f 3346/3763 3329/3749 3339/3752 3356/3766 +f 3353/3772 3336/3757 3340/3742 3357/3773 +f 3332/3758 3349/3774 3350/3775 3333/3744 +f 3345/3759 3362/3776 3358/3777 3341/3743 +f 3357/3773 3340/3742 3341/3743 3358/3777 +f 3333/3744 3350/3775 3351/3771 3334/3745 +f 3376/3778 3359/3761 3360/3765 3377/3779 +f 3373/3780 3356/3766 3355/3767 3372/3781 +f 3347/3764 3364/3782 3365/3783 3348/3768 +f 3377/3779 3360/3765 3361/3769 3378/3784 +f 3372/3781 3355/3767 3354/3770 3371/3785 +f 3378/3784 3361/3769 3351/3771 3368/3786 +f 3371/3785 3354/3770 3353/3772 3370/3787 +f 3363/3788 3346/3763 3356/3766 3373/3780 +f 3370/3787 3353/3772 3357/3773 3374/3789 +f 3349/3774 3366/3790 3367/3791 3350/3775 +f 3362/3776 3379/3792 3375/3793 3358/3777 +f 3374/3789 3357/3773 3358/3777 3375/3793 +f 3350/3775 3367/3791 3368/3786 3351/3771 +f 3859/3794 3858/3760 3359/3761 3376/3778 +f 3369/3795 3352/3762 3346/3763 3363/3788 +f 3352/3762 3369/3795 3364/3782 3347/3764 +f 3860/3796 3859/3794 3376/3778 3393/3797 +f 3386/3798 3369/3795 3363/3788 3380/3799 +f 3369/3795 3386/3798 3381/3800 3364/3782 +f 3393/3797 3376/3778 3377/3779 3394/3801 +f 3390/3802 3373/3780 3372/3781 3389/3803 +f 3364/3782 3381/3800 3382/3804 3365/3783 +f 3394/3801 3377/3779 3378/3784 3395/3805 +f 3389/3803 3372/3781 3371/3785 3388/3806 +f 3395/3805 3378/3784 3368/3786 3385/3807 +f 3388/3806 3371/3785 3370/3787 3387/3808 +f 3380/3799 3363/3788 3373/3780 3390/3802 +f 3387/3808 3370/3787 3374/3789 3391/3809 +f 3366/3790 3383/3810 3384/3811 3367/3791 +f 3379/3792 3396/3812 3392/3813 3375/3793 +f 3391/3809 3374/3789 3375/3793 3392/3813 +f 3367/3791 3384/3811 3385/3807 3368/3786 +f 3410/3814 3393/3797 3394/3801 3411/3815 +f 3407/3816 3390/3802 3389/3803 3406/3817 +f 3381/3800 3398/3818 3399/3819 3382/3804 +f 3411/3815 3394/3801 3395/3805 3412/3820 +f 3406/3817 3389/3803 3388/3806 3405/3821 +f 3412/3820 3395/3805 3385/3807 3402/3822 +f 3405/3821 3388/3806 3387/3808 3404/3823 +f 3397/3824 3380/3799 3390/3802 3407/3816 +f 3404/3823 3387/3808 3391/3809 3408/3825 +f 3383/3810 3400/3826 3401/3827 3384/3811 +f 3396/3812 3413/3828 3409/3829 3392/3813 +f 3408/3825 3391/3809 3392/3813 3409/3829 +f 3384/3811 3401/3827 3402/3822 3385/3807 +f 3861/3830 3860/3796 3393/3797 3410/3814 +f 3403/3831 3386/3798 3380/3799 3397/3824 +f 3386/3798 3403/3831 3398/3818 3381/3800 +f 3428/3832 3411/3815 3412/3820 3429/3833 +f 3423/3834 3406/3817 3405/3821 3422/3835 +f 3429/3833 3412/3820 3402/3822 3419/3836 +f 3422/3835 3405/3821 3404/3823 3421/3837 +f 3414/3838 3397/3824 3407/3816 3424/3839 +f 3421/3837 3404/3823 3408/3825 3425/3840 +f 3400/3826 3417/3841 3418/3842 3401/3827 +f 3413/3828 3430/3843 3426/3844 3409/3829 +f 3425/3840 3408/3825 3409/3829 3426/3844 +f 3401/3827 3418/3842 3419/3836 3402/3822 +f 3862/3845 3861/3830 3410/3814 3427/3846 +f 3420/3847 3403/3831 3397/3824 3414/3838 +f 3403/3831 3420/3847 3415/3848 3398/3818 +f 3427/3846 3410/3814 3411/3815 3428/3832 +f 3424/3839 3407/3816 3406/3817 3423/3834 +f 3398/3818 3415/3848 3416/3849 3399/3819 +f 3446/3850 3429/3833 3419/3836 3436/3851 +f 3439/3852 3422/3835 3421/3837 3438/3853 +f 3431/3854 3414/3838 3424/3839 3441/3855 +f 3438/3853 3421/3837 3425/3840 3442/3856 +f 3417/3841 3434/3857 3435/3858 3418/3842 +f 3430/3843 3447/3859 3443/3860 3426/3844 +f 3442/3856 3425/3840 3426/3844 3443/3860 +f 3418/3842 3435/3858 3436/3851 3419/3836 +f 3863/3861 3862/3845 3427/3846 3444/3862 +f 3437/3863 3420/3847 3414/3838 3431/3854 +f 3420/3847 3437/3863 3432/3864 3415/3848 +f 3444/3862 3427/3846 3428/3832 3445/3865 +f 3441/3855 3424/3839 3423/3834 3440/3866 +f 3415/3848 3432/3864 3433/3867 3416/3849 +f 3445/3865 3428/3832 3429/3833 3446/3850 +f 3440/3866 3423/3834 3422/3835 3439/3852 +f 3448/3868 3431/3854 3441/3855 3458/3869 +f 3455/3870 3438/3853 3442/3856 3459/3871 +f 3434/3857 3451/3872 3452/3873 3435/3858 +f 3447/3859 3464/3874 3460/3875 3443/3860 +f 3459/3871 3442/3856 3443/3860 3460/3875 +f 3435/3858 3452/3873 3453/3876 3436/3851 +f 3864/3877 3863/3861 3444/3862 3461/3878 +f 3454/3879 3437/3863 3431/3854 3448/3868 +f 3437/3863 3454/3879 3449/3880 3432/3864 +f 3461/3878 3444/3862 3445/3865 3462/3881 +f 3458/3869 3441/3855 3440/3866 3457/3882 +f 3432/3864 3449/3880 3450/3883 3433/3867 +f 3462/3881 3445/3865 3446/3850 3463/3884 +f 3457/3882 3440/3866 3439/3852 3456/3885 +f 3463/3884 3446/3850 3436/3851 3453/3876 +f 3456/3885 3439/3852 3438/3853 3455/3870 +f 3464/3874 3481/3886 3477/3887 3460/3875 +f 3476/3888 3459/3871 3460/3875 3477/3887 +f 3452/3873 3469/3889 3470/3890 3453/3876 +f 3865/3891 3864/3877 3461/3878 3478/3892 +f 3471/3893 3454/3879 3448/3868 3465/3894 +f 3454/3879 3471/3893 3466/3895 3449/3880 +f 3478/3892 3461/3878 3462/3881 3479/3896 +f 3475/3897 3458/3869 3457/3882 3474/3898 +f 3449/3880 3466/3895 3467/3899 3450/3883 +f 3479/3896 3462/3881 3463/3884 3480/3900 +f 3474/3898 3457/3882 3456/3885 3473/3901 +f 3480/3900 3463/3884 3453/3876 3470/3890 +f 3473/3901 3456/3885 3455/3870 3472/3902 +f 3465/3894 3448/3868 3458/3869 3475/3897 +f 3472/3902 3455/3870 3459/3871 3476/3888 +f 3451/3872 3468/3903 3469/3889 3452/3873 +f 3866/3904 3865/3891 3478/3892 3495/3905 +f 3488/3906 3471/3893 3465/3894 3482/3907 +f 3471/3893 3488/3906 3483/3908 3466/3895 +f 3495/3905 3478/3892 3479/3896 3496/3909 +f 3492/3910 3475/3897 3474/3898 3491/3911 +f 3466/3895 3483/3908 3484/3912 3467/3899 +f 3496/3909 3479/3896 3480/3900 3497/3913 +f 3491/3911 3474/3898 3473/3901 3490/3914 +f 3497/3913 3480/3900 3470/3890 3487/3915 +f 3490/3914 3473/3901 3472/3902 3489/3916 +f 3482/3907 3465/3894 3475/3897 3492/3910 +f 3489/3916 3472/3902 3476/3888 3493/3917 +f 3468/3903 3485/3918 3486/3919 3469/3889 +f 3481/3886 3498/3920 3494/3921 3477/3887 +f 3493/3917 3476/3888 3477/3887 3494/3921 +f 3469/3889 3486/3919 3487/3915 3470/3890 +f 3512/3922 3495/3905 3496/3909 3513/3923 +f 3509/3924 3492/3910 3491/3911 3508/3925 +f 3483/3908 3500/3926 3501/3927 3484/3912 +f 3513/3923 3496/3909 3497/3913 3514/3928 +f 3508/3925 3491/3911 3490/3914 3507/3929 +f 3514/3928 3497/3913 3487/3915 3504/3930 +f 3507/3929 3490/3914 3489/3916 3506/3931 +f 3499/3932 3482/3907 3492/3910 3509/3924 +f 3506/3931 3489/3916 3493/3917 3510/3933 +f 3485/3918 3502/3934 3503/3935 3486/3919 +f 3498/3920 3515/3936 3511/3937 3494/3921 +f 3510/3933 3493/3917 3494/3921 3511/3937 +f 3486/3919 3503/3935 3504/3930 3487/3915 +f 3867/3938 3866/3904 3495/3905 3512/3922 +f 3505/3939 3488/3906 3482/3907 3499/3932 +f 3488/3906 3505/3939 3500/3926 3483/3908 +f 3530/3940 3513/3923 3514/3928 3531/3941 +f 3525/3942 3508/3925 3507/3929 3524/3943 +f 3531/3941 3514/3928 3504/3930 3521/3944 +f 3524/3943 3507/3929 3506/3931 3523/3945 +f 3516/3946 3499/3932 3509/3924 3526/3947 +f 3523/3945 3506/3931 3510/3933 3527/3948 +f 3502/3934 3519/3949 3520/3950 3503/3935 +f 3515/3936 3532/3951 3528/3952 3511/3937 +f 3527/3948 3510/3933 3511/3937 3528/3952 +f 3503/3935 3520/3950 3521/3944 3504/3930 +f 3868/3953 3867/3938 3512/3922 3529/3954 +f 3522/3955 3505/3939 3499/3932 3516/3946 +f 3505/3939 3522/3955 3517/3956 3500/3926 +f 3529/3954 3512/3922 3513/3923 3530/3940 +f 3526/3947 3509/3924 3508/3925 3525/3942 +f 3500/3926 3517/3956 3518/3957 3501/3927 +f 3548/3958 3531/3941 3521/3944 3538/3959 +f 3541/3960 3524/3943 3523/3945 3540/3961 +f 3533/3962 3516/3946 3526/3947 3543/3963 +f 3540/3961 3523/3945 3527/3948 3544/3964 +f 3519/3949 3536/3965 3537/3966 3520/3950 +f 3532/3951 3549/3967 3545/3968 3528/3952 +f 3544/3964 3527/3948 3528/3952 3545/3968 +f 3520/3950 3537/3966 3538/3959 3521/3944 +f 3869/3969 3868/3953 3529/3954 3546/3970 +f 3539/3971 3522/3955 3516/3946 3533/3962 +f 3522/3955 3539/3971 3534/3972 3517/3956 +f 3546/3970 3529/3954 3530/3940 3547/3973 +f 3543/3963 3526/3947 3525/3942 3542/3974 +f 3517/3956 3534/3972 3535/3975 3518/3957 +f 3547/3973 3530/3940 3531/3941 3548/3958 +f 3542/3974 3525/3942 3524/3943 3541/3960 +f 3885/3976 3533/3962 3543/3963 3884/3977 +f 3887/3978 3540/3961 3544/3964 3886/3979 +f 3889/3980 3553/3981 3554/3982 3888/3983 +f 3891/3984 3566/3985 3562/3986 3890/3987 +f 3886/3979 3544/3964 3545/3968 3890/3987 +f 3888/3983 3554/3982 3555/3988 3892/3989 +f 3903/3990 3869/3969 3546/3970 3893/3991 +f 3894/3992 3539/3971 3533/3962 3885/3976 +f 3894/3992 3556/3993 3551/3994 3895/3995 +f 3893/3991 3546/3970 3547/3973 3896/3996 +f 3884/3977 3543/3963 3542/3974 3897/3997 +f 3895/3995 3551/3994 3552/3998 3898/3999 +f 3896/3996 3547/3973 3548/3958 3899/4000 +f 3897/3997 3542/3974 3541/3960 3900/4001 +f 3899/4000 3548/3958 3538/3959 3892/3989 +f 3900/4001 3541/3960 3540/3961 3887/3978 +f 3245/3674 3213/3708 3579/4002 3226/3668 +f 3250/3659 3166/4003 3254/3693 3243/3677 +f 3158/3645 3177/3644 3251/3704 3162/3703 +f 3166/4003 3250/3659 3244/3662 3222/3701 +f 3148/4004 3146/4005 3174/3702 3579/4002 +f 3142/4006 3140/4007 3254/3693 3166/4003 +f 3226/3668 3579/4002 3174/3702 3225/3666 +f 3155/4008 3153/4009 3122/3580 3125/3569 +f 3577/4010 3109/3594 2102/2477 2833/2476 +f 2793/2180 1911/2173 3102/3611 3578/4011 +f 2833/2476 2105/3506 1912/2181 2793/2180 +f 2793/2180 3578/4011 3577/4010 2833/2476 +f 3125/3569 3121/3570 3152/4012 3155/4008 +f 3581/3706 3152/4012 3121/3570 3580/4013 +f 2872/2776 2297/3507 2104/2481 2832/2480 +f 3579/4002 3213/3708 3147/4014 3148/4004 +f 2832/2480 3238/3696 3195/3648 2872/2776 +f 3213/3708 3581/3706 3580/4013 3255/3638 +f 3582/3705 3159/4015 3153/4009 3155/4008 +f 3192/3656 3189/3664 3159/4015 3582/3705 +f 3580/4013 3121/3570 2486/3077 2911/3076 +f 2871/2780 3255/3638 3580/4013 2911/3076 +f 2911/3076 2489/3508 2296/2781 2871/2780 +f 3155/4008 3152/4012 3581/3706 3582/3705 +f 3170/4016 3221/3651 3185/3650 3186/4017 +f 3914/4018 3915/4019 3552/4020 3551/4021 +f 3913/4022 3914/4018 3551/4021 3556/4023 +f 2716/3374 3585/4024 3587/4025 2718/3375 +f 3591/4026 2722/3460 2719/3454 3588/4027 +f 3592/4028 2752/3368 2715/3418 3584/4029 +f 2764/3417 3593/4030 3584/4029 2715/3418 +f 3589/4031 2720/3453 2721/3459 3590/4032 +f 3588/4027 2719/3454 2720/3453 3589/4031 +f 3593/4030 2764/3417 2722/3487 3591/4033 +f 3590/4032 2721/3459 2717/3458 3586/4034 +f 2752/3368 3592/4028 3585/4035 2716/3369 +f 3586/4034 2717/3458 2718/3375 3587/4025 +f 3600/4036 3590/4032 3586/4034 3596/4037 +f 3596/4037 3586/4034 3587/4025 3597/4038 +f 3592/4028 3602/4039 3595/4040 3585/4035 +f 3601/4041 3591/4026 3588/4027 3598/4042 +f 3585/4024 3595/4043 3597/4038 3587/4025 +f 3602/4039 3592/4028 3584/4029 3594/4044 +f 3593/4030 3603/4045 3594/4044 3584/4029 +f 3603/4045 3593/4030 3591/4033 3601/4046 +f 3599/4047 3589/4031 3590/4032 3600/4036 +f 3598/4042 3588/4027 3589/4031 3599/4047 +f 3609/4048 3599/4047 3600/4036 3610/4049 +f 3608/4050 3598/4042 3599/4047 3609/4048 +f 3610/4049 3600/4036 3596/4037 3606/4051 +f 3606/4051 3596/4037 3597/4038 3607/4052 +f 3602/4039 3612/4053 3605/4054 3595/4040 +f 3611/4055 3601/4041 3598/4042 3608/4050 +f 3595/4043 3605/4056 3607/4052 3597/4038 +f 3612/4053 3602/4039 3594/4044 3604/4057 +f 3603/4045 3613/4058 3604/4057 3594/4044 +f 3613/4058 3603/4045 3601/4046 3611/4059 +f 3622/4060 3612/4053 3604/4057 3614/4061 +f 3613/4058 3623/4062 3614/4061 3604/4057 +f 3623/4062 3613/4058 3611/4059 3621/4063 +f 3619/4064 3609/4048 3610/4049 3620/4065 +f 3618/4066 3608/4050 3609/4048 3619/4064 +f 3620/4065 3610/4049 3606/4051 3616/4067 +f 3616/4067 3606/4051 3607/4052 3617/4068 +f 3612/4053 3622/4060 3615/4069 3605/4054 +f 3621/4070 3611/4055 3608/4050 3618/4066 +f 3605/4056 3615/4071 3617/4068 3607/4052 +f 3622/4060 3632/4072 3625/4073 3615/4069 +f 3631/4074 3621/4070 3618/4066 3628/4075 +f 3615/4071 3625/4076 3627/4077 3617/4068 +f 3632/4072 3622/4060 3614/4061 3624/4078 +f 3623/4062 3633/4079 3624/4078 3614/4061 +f 3633/4079 3623/4062 3621/4063 3631/4080 +f 3629/4081 3619/4064 3620/4065 3630/4082 +f 3628/4075 3618/4066 3619/4064 3629/4081 +f 3630/4082 3620/4065 3616/4067 3626/4083 +f 3626/4083 3616/4067 3617/4068 3627/4077 +f 3640/4084 3630/4082 3626/4083 3636/4085 +f 3636/4085 3626/4083 3627/4077 3637/4086 +f 3632/4072 3642/4087 3635/4088 3625/4073 +f 3641/4089 3631/4074 3628/4075 3638/4090 +f 3625/4076 3635/4091 3637/4086 3627/4077 +f 3642/4087 3632/4072 3624/4078 3634/4092 +f 3633/4079 3643/4093 3634/4092 3624/4078 +f 3643/4093 3633/4079 3631/4080 3641/4094 +f 3639/4095 3629/4081 3630/4082 3640/4084 +f 3638/4090 3628/4075 3629/4081 3639/4095 +f 3173/4096 3172/4097 3636/4085 3637/4086 +f 3193/4098 3173/4096 3637/4086 3635/4091 +f 3205/4099 3647/4100 3646/4101 3204/4102 +f 3204/4102 3646/4101 3645/4103 3203/4104 +f 3203/4105 3645/4106 3644/4107 3202/4108 +f 3647/4100 3649/4109 3648/4110 3646/4101 +f 3649/4109 3651/4111 3650/4112 3648/4110 +f 3651/4111 3654/4113 3653/4114 3650/4112 +f 3217/4115 3827/4116 3679/4117 3826/4118 +f 3654/4113 3657/4119 3656/4120 3653/4114 +f 3657/4119 3660/4121 3659/4122 3656/4120 +f 3671/4123 3235/4124 3829/4125 3659/4122 +f 3179/4126 3671/4123 3659/4122 3660/4121 +f 1917/2216 1912/2181 2105/3506 2113/3716 +f 2109/2516 2104/2481 2297/3507 2305/3722 +f 2953/3709 1917/3710 2113/3713 2986/3712 +f 2986/3712 2229/3592 2065/3608 2953/3709 +f 2229/3592 3113/3591 3108/3609 2065/3608 +f 3818/3628 3108/3609 3113/3591 3809/3624 +f 3178/3641 3181/3640 3205/4099 3823/4127 +f 3168/3634 3183/3652 3181/3640 3165/3632 +f 3194/4128 3193/4129 3635/4088 3642/4087 +f 2992/3711 2109/3715 2305/3719 3025/3717 +f 3025/3717 2421/3602 2257/3565 2992/3711 +f 2301/2816 2296/2781 2489/3508 2497/3723 +f 3031/3714 2301/3718 2497/3721 3064/3720 +f 3064/3720 2613/3598 2449/3586 3031/3714 +f 2613/3598 3127/3597 3120/3587 2449/3586 +f 3819/3625 3120/3587 3127/3597 3815/3618 +f 3170/4016 3169/3642 3145/3615 3150/4130 +f 3186/4017 3184/3654 3169/3642 3170/4016 +f 3221/3651 3170/4016 3150/4130 3149/3627 +f 3811/3612 3150/4130 3145/3615 3814/3614 +f 3114/3566 2257/3565 2421/3602 3119/3601 +f 3157/3635 3156/3623 3191/3622 3662/3636 +f 3663/3698 3227/4131 3233/3676 3674/3675 +f 3245/3674 3200/3673 3207/3658 3188/3657 +f 3162/3703 3175/3694 3134/4132 3136/4133 +f 3162/3703 3136/4133 3133/4134 3158/3645 +f 3166/4003 3222/3701 3141/4135 3142/4006 +f 3189/3664 3209/3621 3154/3620 3159/4015 +f 3211/4136 3194/4128 3642/4087 3634/4092 +f 3220/4137 3219/4138 3674/3675 3666/3670 +f 3229/4139 3667/3679 3676/3682 3223/4140 +f 3252/3699 3663/3698 3674/3675 3219/4138 +f 3227/4131 3663/3698 3669/3687 3230/4141 +f 3223/4140 3676/3682 3673/3692 3232/4142 +f 3176/3700 3668/3683 3672/3686 3248/4143 +f 3230/4141 3669/3687 3664/3690 3231/3697 +f 3239/3684 3668/3683 3667/3679 3229/4139 +f 3248/4143 3672/3686 3664/3690 3240/3689 +f 3191/3622 3190/4144 3678/4145 3662/3636 +f 3656/4120 3659/4122 3829/4125 3830/4146 +f 3160/3637 3662/3636 3678/4145 3187/3649 +f 3653/4114 3656/4120 3830/4146 3832/4147 +f 3212/4148 3211/4136 3634/4092 3643/4093 +f 3643/4093 3641/4094 3820/4149 3212/4148 +f 3180/4150 3820/4151 3641/4089 3638/4090 +f 3237/4152 3180/4150 3638/4090 3639/4095 +f 3639/4095 3640/4084 3675/4153 3237/4152 +f 3673/3692 3826/4118 3679/4117 3232/4142 +f 3665/4154 3234/4155 3241/4156 3677/4157 +f 3677/4157 3171/4158 3242/4159 3665/4154 +f 3208/3663 3197/4160 3209/3621 3189/3664 +f 3201/4161 3569/4162 3827/4116 3217/4115 +f 3913/4022 3912/4163 3573/4164 3574/4165 +f 3912/4163 3911/4166 3572/4167 3573/4164 +f 3911/4166 3910/4168 3571/4169 3572/4167 +f 3910/4168 3909/4170 3575/4171 3571/4169 +f 3909/4170 3908/4172 3583/4173 3575/4171 +f 3901/4174 3889/3980 3536/3965 3771/4175 +f 3770/4176 3771/4175 3536/3965 3519/3949 +f 3774/4177 3769/4178 3502/3934 3485/3918 +f 3688/4179 3689/4180 932/1014 1463/1715 +f 3689/4180 3690/4181 931/1013 932/1014 +f 3690/4181 3691/4182 930/1011 931/1013 +f 3691/4182 3692/4183 929/1012 930/1011 +f 3692/4183 3693/4184 1037/1182 929/1012 +f 3693/4184 3694/4185 1035/1007 1037/1182 +f 3694/4185 3695/4186 928/1008 1035/1007 +f 3696/4187 3695/4188 785/1003 996/1002 +f 3696/4187 3697/4189 743/855 1001/1023 +f 3698/4190 3697/4189 744/989 892/987 +f 3698/4190 3699/4191 916/1005 893/856 +f 5298/4192 3699/4191 918/988 5296/1177 +f 295/282 294/285 5053/356 5055/355 +f 5054/4193 5053/356 294/285 293/302 +f 3702/4194 3701/4195 730/777 400/423 +f 5339/4196 3702/4194 400/423 374/398 +f 3704/4197 3703/4198 405/397 442/457 +f 3705/4199 3704/4197 442/457 443/456 +f 3706/4200 3705/4199 443/456 504/474 +f 3706/4200 3707/4201 430/451 502/448 +f 3708/4202 3707/4201 444/475 445/461 +f 3709/4203 3708/4202 445/461 446/460 +f 3710/4204 3709/4203 446/460 530/564 +f 3710/4205 3711/4206 545/603 528/602 +f 3712/4207 3711/4206 547/588 564/614 +f 3713/4208 3712/4207 564/614 581/632 +f 3713/4208 3714/4209 596/653 579/624 +f 3714/4209 3715/4210 613/679 596/653 +f 3716/4211 3715/4210 615/669 632/691 +f 3717/4212 3716/4211 632/691 649/712 +f 3717/4212 3718/4213 664/734 647/704 +f 3718/4213 3719/4214 681/742 664/734 +f 3719/4214 3720/4215 698/760 681/742 +f 3721/4216 3720/4215 700/748 699/768 +f 3721/4217 3722/4218 680/741 697/759 +f 3722/4218 3723/4219 663/733 680/741 +f 3724/4220 3723/4219 665/727 648/714 +f 3724/4220 3725/4221 629/682 646/703 +f 3726/4222 3725/4221 631/693 614/672 +f 3727/4223 3726/4222 614/672 597/641 +f 3727/4223 3728/4224 578/623 595/652 +f 3728/4224 3729/4225 561/605 578/623 +f 3730/4226 3729/4225 563/616 546/595 +f 3731/4227 3730/4226 546/595 529/594 +f 3731/4228 3732/4229 435/453 527/556 +f 3733/4230 3732/4229 437/468 434/467 +f 3734/4231 3733/4230 434/467 431/466 +f 3735/4232 3734/4231 431/466 500/465 +f 3735/4232 3736/4233 426/443 501/447 +f 3737/4234 3736/4233 428/464 425/463 +f 3737/4234 3738/4235 403/472 423/444 +f 5340/4236 3739/4237 380/776 370/469 +f 3739/4237 3740/4238 713/773 380/776 +f 278/360 5051/4239 5054/4193 293/302 +f 278/360 339/361 5058/4240 5051/4239 +f 3752/4241 3688/4179 1463/1715 1518/1777 +f 3752/4241 3753/4242 1399/1735 1514/1781 +f 3754/4243 3753/4242 1396/1619 1386/1618 +f 3755/4244 3754/4243 1386/1618 1376/1620 +f 3756/4245 3755/4244 1376/1620 1366/1621 +f 3757/4246 3756/4245 1366/1621 1358/1622 +f 3757/4246 3758/4247 1434/1637 1359/1635 +f 3759/4248 3758/4247 1433/1623 1675/1625 +f 3759/4248 3760/4249 1408/1640 1681/1639 +f 3760/4249 3761/4250 1444/1643 1408/1640 +f 3762/4251 3761/4250 1443/1626 1417/1627 +f 3762/4251 3763/4252 1428/1647 1418/1645 +f 3763/4252 3764/4253 1698/1963 1428/1647 +f 3764/4253 3765/4254 1715/1979 1698/1963 +f 3766/4255 3765/4254 1714/1972 1731/2002 +f 3766/4255 3767/4256 1749/2010 1732/1994 +f 3767/4256 3768/4257 3315/3731 1749/2010 +f 3908/4172 3907/4258 3576/4259 3583/4173 +f 3907/4258 3906/4260 3808/4261 3576/4259 +f 1512/1739 817/996 3689/4180 3688/4179 +f 817/996 811/995 3690/4181 3689/4180 +f 811/995 805/997 3691/4182 3690/4181 +f 805/997 799/844 3692/4183 3691/4182 +f 799/844 793/843 3693/4184 3692/4183 +f 793/843 789/991 3694/4185 3693/4184 +f 789/991 785/990 3695/4186 3694/4185 +f 1001/1023 928/1024 3695/4188 3696/4187 +f 996/1002 744/989 3697/4189 3696/4187 +f 893/856 743/855 3697/4189 3698/4190 +f 892/987 918/988 3699/4191 3698/4190 +f 277/4262 336/4263 368/359 276/310 +f 5132/4264 5058/4240 339/361 5097/364 +f 5132/4264 5097/364 340/363 5056/4265 +f 381/775 726/774 3701/4195 3702/4194 +f 362/470 381/775 3702/4194 5339/4196 +f 424/445 404/471 3703/4198 3704/4197 +f 427/446 424/445 3704/4197 3705/4199 +f 502/448 427/446 3705/4199 3706/4200 +f 504/474 444/475 3707/4201 3706/4200 +f 433/452 430/451 3707/4201 3708/4202 +f 436/454 433/452 3708/4202 3709/4203 +f 528/557 436/454 3709/4203 3710/4204 +f 530/589 547/588 3711/4206 3710/4205 +f 562/606 545/603 3711/4206 3712/4207 +f 579/624 562/606 3712/4207 3713/4208 +f 581/632 598/661 3714/4209 3713/4208 +f 598/661 615/669 3715/4210 3714/4209 +f 630/683 613/679 3715/4210 3716/4211 +f 647/704 630/683 3716/4211 3717/4212 +f 649/712 666/724 3718/4213 3717/4212 +f 666/724 683/747 3719/4214 3718/4213 +f 683/747 700/748 3720/4215 3719/4214 +f 697/4266 698/4267 3720/4215 3721/4216 +f 699/755 682/736 3722/4218 3721/4217 +f 682/736 665/727 3723/4219 3722/4218 +f 646/703 663/733 3723/4219 3724/4220 +f 648/714 631/693 3725/4221 3724/4220 +f 612/678 629/682 3725/4221 3726/4222 +f 595/652 612/678 3726/4222 3727/4223 +f 597/641 580/634 3728/4224 3727/4223 +f 580/634 563/616 3729/4225 3728/4224 +f 544/600 561/605 3729/4225 3730/4226 +f 527/601 544/600 3730/4226 3731/4227 +f 529/561 437/468 3732/4229 3731/4228 +f 432/449 435/453 3732/4229 3733/4230 +f 429/450 432/449 3733/4230 3734/4231 +f 501/447 429/450 3734/4231 3735/4232 +f 500/465 428/464 3736/4233 3735/4232 +f 423/444 426/443 3736/4233 3737/4234 +f 425/463 408/426 3738/4235 3737/4234 +f 369/391 379/390 3739/4237 5340/4236 +f 379/390 712/4268 3740/4238 3739/4237 +f 5057/4269 5056/4265 340/363 341/366 +f 5265/4270 5264/4271 3742/4272 3741/4273 +f 5264/4271 5263/4274 3743/4275 3742/4272 +f 5263/4274 5262/4276 3744/4277 3743/4275 +f 5261/4278 5260/4279 3746/4280 3745/4281 +f 5260/4279 897/4282 3747/4283 3746/4280 +f 897/4282 5319/4284 3748/4285 3747/4283 +f 5319/4284 5266/4286 3749/4287 3748/4285 +f 5266/4286 5320/4288 3750/4289 3749/4287 +f 5320/4288 5321/4290 3751/4291 3750/4289 +f 1514/1781 1512/1739 3688/4179 3752/4241 +f 1518/1777 1396/1619 3753/4242 3752/4241 +f 1389/1629 1399/1735 3753/4242 3754/4243 +f 1379/1630 1389/1629 3754/4243 3755/4244 +f 1369/1633 1379/1630 3755/4244 3756/4245 +f 1359/1635 1369/1633 3756/4245 3757/4246 +f 1358/1622 1433/1623 3758/4247 3757/4246 +f 1681/1639 1434/1637 3758/4247 3759/4248 +f 1675/1625 1407/1624 3760/4249 3759/4248 +f 1407/1624 1443/1626 3761/4250 3760/4249 +f 1418/1645 1444/1643 3761/4250 3762/4251 +f 1417/1627 1427/1628 3763/4252 3762/4251 +f 1427/1628 1697/1959 3764/4253 3763/4252 +f 1697/1959 1714/1972 3765/4254 3764/4253 +f 1732/1994 1715/1979 3765/4254 3766/4255 +f 1731/2002 1748/2020 3767/4256 3766/4255 +f 1748/2020 3314/3741 3768/4257 3767/4256 +f 3229/4139 3223/4140 3567/4292 3574/4165 +f 3239/3684 3229/4139 3574/4165 3573/4164 +f 3573/4164 3572/4167 3228/3685 3239/3684 +f 3572/4167 3571/4169 3231/3697 3228/3685 +f 3230/4141 3231/3697 3571/4169 3575/4171 +f 3519/3949 3502/3934 3769/4178 3770/4176 +f 3227/4131 3230/4141 3575/4171 3583/4173 +f 3583/4173 3576/4259 3233/3676 3227/4131 +f 3905/4293 3906/4260 3562/4294 3566/4295 +f 3898/3999 3552/3998 3772/4296 3901/4174 +f 3518/3957 3535/3975 3771/4175 3770/4176 +f 1568/1823 3776/4297 3775/4298 1562/1824 +f 1574/1833 3777/4299 3776/4297 1568/1823 +f 1580/1840 3778/4300 3777/4299 1574/1833 +f 1586/1847 3779/4301 3778/4300 1580/1840 +f 1592/1854 3780/4302 3779/4301 1586/1847 +f 1598/1861 3781/4303 3780/4302 1592/1854 +f 1612/1943 3782/4304 3787/4305 1690/1883 +f 1690/1883 3787/4305 3783/4306 1686/1869 +f 1686/1869 3783/4306 3784/4307 1687/1870 +f 1687/1870 3784/4307 3785/4308 1688/1944 +f 1688/1944 3785/4308 3786/4309 1689/1945 +f 1622/1948 3788/4310 3782/4304 1612/1943 +f 1689/1945 3786/4309 3789/4311 1711/1956 +f 1711/1956 3789/4311 3790/4312 1728/1981 +f 1728/1981 3790/4312 3791/4313 1745/1996 +f 1745/1996 3791/4313 3792/4314 1762/2012 +f 3328/3733 1762/2012 3792/4314 3793/4315 +f 3345/3759 3328/3733 3793/4315 3794/4316 +f 3362/3776 3345/3759 3794/4316 3795/4317 +f 3379/3792 3362/3776 3795/4317 3796/4318 +f 3396/3812 3379/3792 3796/4318 3797/4319 +f 3413/3828 3396/3812 3797/4319 3798/4320 +f 3430/3843 3413/3828 3798/4320 3799/4321 +f 3447/3859 3430/3843 3799/4321 3800/4322 +f 3464/3874 3447/3859 3800/4322 3801/4323 +f 3481/3886 3464/3874 3801/4323 3802/4324 +f 3498/3920 3481/3886 3802/4324 3803/4325 +f 3515/3936 3498/3920 3803/4325 3804/4326 +f 3532/3951 3515/3936 3804/4326 3805/4327 +f 3549/3967 3532/3951 3805/4327 3806/4328 +f 3891/3984 3549/3967 3806/4328 3902/4329 +f 3904/4330 3905/4293 3566/4295 3807/4331 +f 3236/3671 3233/3676 3576/4259 3808/4261 +f 3147/4014 3213/3708 3255/3638 3116/3564 +f 3150/4130 3811/3612 3810/3613 3149/3627 +f 3138/4332 3131/3576 3812/3631 3137/3630 +f 3148/4004 3147/4014 3116/3564 3117/3563 +f 3117/3563 3115/3610 3146/4005 3148/4004 +f 3114/3566 3814/3614 3813/3617 3112/3567 +f 3174/3702 3146/4005 3115/3610 3195/3648 +f 3157/3635 3815/3618 3816/3619 3156/3623 +f 3131/3576 3107/3579 3106/3596 3812/3631 +f 3195/3648 3238/3696 3222/3701 3174/3702 +f 3141/4135 3222/3701 3238/3696 3110/3603 +f 3142/4006 3141/4135 3110/3603 3111/3593 +f 3111/3593 3109/3594 3140/4007 3142/4006 +f 3144/3633 3809/3624 3813/3617 3143/3616 +f 3120/3587 3819/3625 3810/3613 3118/3588 +f 3132/3571 3124/3573 3156/3623 3816/3619 +f 3254/3693 3140/4007 3109/3594 3577/4010 +f 3108/3609 3818/3628 3812/3631 3106/3596 +f 3577/4010 3578/4011 3175/3694 3254/3693 +f 3134/4132 3175/3694 3578/4011 3102/3611 +f 3136/4133 3134/4132 3102/3611 3105/3604 +f 3132/3571 3816/3619 3126/3584 3128/3583 +f 3105/3604 3101/3575 3133/4134 3136/4133 +f 3158/3645 3133/4134 3101/3575 3129/3574 +f 3129/3574 3103/3590 3135/3646 3158/3645 +f 3161/3647 3135/3646 3817/4333 3837/4334 +f 3138/4332 3163/4335 3837/4336 3817/4337 +f 3124/3573 3123/3607 3154/3620 3156/3623 +f 3159/4015 3154/3620 3123/3607 3130/3581 +f 3130/3581 3122/3580 3153/4009 3159/4015 +f 3103/3590 3104/3606 3817/4333 3135/3646 +f 3139/3629 3818/3628 3809/3624 3144/3633 +f 3151/3626 3819/3625 3815/3618 3157/3635 +f 3119/3601 3811/3612 3814/3614 3114/3566 +f 3640/4084 3636/4085 3172/4097 3675/4153 +f 3821/4338 3822/4339 3820/4151 3180/4150 +f 3218/4340 3821/4338 3180/4150 3237/4152 +f 3251/3704 3206/4341 3199/3707 3249/3695 +f 3826/4118 3673/3692 3196/3691 3824/4342 +f 3855/3672 3236/3671 3808/4261 3873/4343 +f 3217/4115 3218/4340 3237/4152 3675/4153 +f 3855/3672 3873/4343 3683/4344 3234/4155 +f 3825/4345 3206/4341 3251/3704 3177/3644 +f 3206/4341 3825/4345 3824/4342 3196/3691 +f 3824/4342 3825/4345 3821/4338 3218/4340 +f 3177/3644 3161/3647 3821/4338 3825/4345 +f 3199/3707 3206/4341 3196/3691 3253/3681 +f 3215/3678 3199/3707 3253/3681 3247/3680 +f 3671/4123 3179/4126 3171/4158 3677/4157 +f 3677/4157 3241/4156 3235/4124 3671/4123 +f 3661/4346 3234/4347 3683/4348 3681/4349 +f 3658/4350 3661/4346 3681/4349 3682/4351 +f 3655/4352 3658/4350 3682/4351 3684/4353 +f 3652/4354 3655/4352 3684/4353 3686/4355 +f 3680/4356 3652/4354 3686/4355 3685/4357 +f 3569/4162 3680/4356 3685/4357 3773/4358 +f 3827/4116 3569/4162 3773/4358 3687/4359 +f 3679/4117 3827/4116 3687/4359 3568/4360 +f 3661/4346 3828/4361 3241/4362 3234/4347 +f 3644/4107 3569/4162 3201/4161 3202/4108 +f 3658/4350 3670/4363 3828/4361 3661/4346 +f 3241/4362 3828/4361 3829/4364 3235/4365 +f 3650/4112 3653/4114 3832/4147 3834/4366 +f 3834/4366 3836/4367 3648/4110 3650/4112 +f 3830/4368 3829/4364 3828/4361 3670/4363 +f 3670/4363 3831/4369 3832/4370 3830/4368 +f 3831/4369 3833/4371 3834/4372 3832/4370 +f 3833/4371 3835/4373 3836/4374 3834/4372 +f 3655/4352 3831/4369 3670/4363 3658/4350 +f 3833/4371 3831/4369 3655/4352 3652/4354 +f 3652/4354 3680/4356 3835/4373 3833/4371 +f 3648/4110 3836/4367 3645/4103 3646/4101 +f 3836/4374 3835/4373 3644/4107 3645/4106 +f 3644/4107 3835/4373 3680/4356 3569/4162 +f 3209/3621 3197/4160 3190/4144 3191/3622 +f 3198/3660 3215/3678 3247/3680 3176/3700 +f 3176/3700 3248/4143 3214/3661 3198/3660 +f 3248/4143 3240/3689 3224/3665 3214/3661 +f 3216/3667 3224/3665 3240/3689 3246/3688 +f 3200/3673 3216/3667 3246/3688 3252/3699 +f 3207/3658 3200/3673 3252/3699 3219/4138 +f 3210/3655 3207/3658 3219/4138 3220/4137 +f 3190/4144 3197/4160 3242/4159 3171/4158 +f 3171/4158 3179/4126 3678/4145 3190/4144 +f 3187/3649 3678/4145 3179/4126 3660/4121 +f 3660/4121 3657/4119 3185/3650 3187/3649 +f 3186/4017 3185/3650 3657/4119 3654/4113 +f 3654/4113 3651/4111 3184/3654 3186/4017 +f 3651/4111 3649/4109 3182/3653 3184/3654 +f 3183/3652 3182/3653 3649/4109 3647/4100 +f 3647/4100 3205/4099 3181/3640 3183/3652 +f 3138/4332 3817/4337 3104/3599 3131/3576 +f 3164/3639 3178/3641 3837/4336 3163/4335 +f 3138/4332 3137/3630 3164/3639 3163/4335 +f 3161/3647 3837/4334 3822/4339 3821/4338 +f 3776/4297 3839/4375 3838/4376 3775/4298 +f 3777/4299 3840/4377 3839/4375 3776/4297 +f 3778/4300 3841/4378 3840/4377 3777/4299 +f 3779/4301 3842/4379 3841/4378 3778/4300 +f 3780/4302 3843/4380 3842/4379 3779/4301 +f 3781/4303 3844/4381 3843/4380 3780/4302 +f 3782/4304 3845/4382 3850/4383 3787/4305 +f 3787/4305 3850/4383 3846/4384 3783/4306 +f 3783/4306 3846/4384 3847/4385 3784/4307 +f 3784/4307 3847/4385 3848/4386 3785/4308 +f 3785/4308 3848/4386 3849/4387 3786/4309 +f 3788/4310 3872/4388 3845/4382 3782/4304 +f 3786/4309 3849/4387 3851/4389 3789/4311 +f 3789/4311 3851/4389 3852/4390 3790/4312 +f 3790/4312 3852/4390 3853/4391 3791/4313 +f 3791/4313 3853/4391 3854/4392 3792/4314 +f 3665/4154 3871/3669 3855/3672 3234/4155 +f 3793/4315 3792/4314 3854/4392 3856/4393 +f 3794/4316 3793/4315 3856/4393 3857/4394 +f 3795/4317 3794/4316 3857/4394 3858/4395 +f 3796/4318 3795/4317 3858/4395 3859/4396 +f 3797/4319 3796/4318 3859/4396 3860/4397 +f 3798/4320 3797/4319 3860/4397 3861/4398 +f 3799/4321 3798/4320 3861/4398 3862/4399 +f 3800/4322 3799/4321 3862/4399 3863/4400 +f 3801/4323 3800/4322 3863/4400 3864/4401 +f 3802/4324 3801/4323 3864/4401 3865/4402 +f 3803/4325 3802/4324 3865/4402 3866/4403 +f 3804/4326 3803/4325 3866/4403 3867/4404 +f 3805/4327 3804/4326 3867/4404 3868/4405 +f 3806/4328 3805/4327 3868/4405 3869/4406 +f 3902/4329 3806/4328 3869/4406 3903/4407 +f 3232/4142 3679/4117 3568/4360 3570/4408 +f 3223/4140 3232/4142 3570/4408 3567/4292 +f 3197/4160 3208/3663 3874/4409 3242/4159 +f 3665/4154 3242/4159 3874/4409 3871/3669 +f 3220/4137 3874/4409 3208/3663 3210/3655 +f 3871/3669 3874/4409 3220/4137 3666/3670 +f 3875/4410 3876/4411 3468/3903 3451/3872 +f 3875/4410 3877/4412 3433/3867 3450/3883 +f 3878/4413 3877/4412 3434/3857 3417/3841 +f 3878/4413 3879/4414 3399/3819 3416/3849 +f 3880/4415 3879/4414 3400/3826 3383/3810 +f 3881/4416 3880/4415 3383/3810 3366/3790 +f 3882/4417 3881/4416 3366/3790 3349/3774 +f 3883/4418 3882/4417 3349/3774 3332/3758 +f 3450/3883 3467/3899 3876/4411 3875/4410 +f 3451/3872 3434/3857 3877/4412 3875/4410 +f 3416/3849 3433/3867 3877/4412 3878/4413 +f 3417/3841 3400/3826 3879/4414 3878/4413 +f 3382/3804 3399/3819 3879/4414 3880/4415 +f 3365/3783 3382/3804 3880/4415 3881/4416 +f 3348/3768 3365/3783 3881/4416 3882/4417 +f 3331/3754 3348/3768 3882/4417 3883/4418 +f 3876/4411 3774/4177 3485/3918 3468/3903 +f 3770/4176 3769/4178 3501/3927 3518/3957 +f 3768/4257 3883/4418 3332/3758 3315/3731 +f 3467/3899 3484/3912 3774/4177 3876/4411 +f 3314/3741 3331/3754 3883/4418 3768/4257 +f 3484/3912 3501/3927 3769/4178 3774/4177 +f 3218/4340 3217/4115 3826/4118 3824/4342 +f 3212/4148 3820/4149 3822/4419 3823/4127 +f 3823/4127 3205/4099 3211/4136 3212/4148 +f 3205/4099 3204/4102 3194/4128 3211/4136 +f 3204/4102 3203/4104 3193/4129 3194/4128 +f 3203/4105 3202/4108 3173/4096 3193/4098 +f 3202/4108 3201/4161 3172/4097 3173/4096 +f 3201/4161 3217/4115 3675/4153 3172/4097 +f 3923/4420 3922/4421 3553/4422 3772/4423 +f 3922/4421 3921/4424 3554/4425 3553/4422 +f 3921/4424 3920/4426 3555/4427 3554/4425 +f 3919/4428 3920/4426 3685/4357 3686/4355 +f 3918/4429 3919/4428 3686/4355 3684/4353 +f 3917/4430 3918/4429 3684/4353 3682/4351 +f 3916/4431 3917/4430 3682/4351 3681/4349 +f 3916/4431 3904/4432 3807/4433 3870/4434 +f 3915/4019 3923/4420 3772/4423 3552/4020 +f 3550/4435 3885/3976 3884/3977 3560/4436 +f 3557/4437 3887/3978 3886/3979 3561/4438 +f 3536/3965 3889/3980 3888/3983 3537/3966 +f 3549/3967 3891/3984 3890/3987 3545/3968 +f 3561/4438 3886/3979 3890/3987 3562/3986 +f 3537/3966 3888/3983 3892/3989 3538/3959 +f 3870/4439 3903/3990 3893/3991 3563/4440 +f 3556/3993 3894/3992 3885/3976 3550/4435 +f 3539/3971 3894/3992 3895/3995 3534/3972 +f 3563/4440 3893/3991 3896/3996 3564/4441 +f 3560/4436 3884/3977 3897/3997 3559/4442 +f 3534/3972 3895/3995 3898/3999 3535/3975 +f 3564/4441 3896/3996 3899/4000 3565/4443 +f 3559/4442 3897/3997 3900/4001 3558/4444 +f 3565/4443 3899/4000 3892/3989 3555/3988 +f 3558/4444 3900/4001 3887/3978 3557/4437 +f 3772/4296 3553/3981 3889/3980 3901/4174 +f 3535/3975 3898/3999 3901/4174 3771/4175 +f 3566/3985 3891/3984 3902/4329 3807/4445 +f 3807/4445 3902/4329 3903/4407 3870/4446 +f 3683/4344 3873/4343 3905/4293 3904/4330 +f 3556/4023 3550/4447 3912/4163 3913/4022 +f 3564/4448 3565/4449 3919/4428 3918/4429 +f 3574/4165 3567/4292 3914/4018 3913/4022 +f 3773/4358 3685/4357 3920/4426 3921/4424 +f 3567/4292 3570/4408 3915/4019 3914/4018 +f 3561/4450 3562/4294 3906/4260 3907/4258 +f 3570/4408 3568/4360 3923/4420 3915/4019 +f 3559/4451 3558/4452 3909/4170 3910/4168 +f 3557/4453 3561/4450 3907/4258 3908/4172 +f 3687/4359 3773/4358 3921/4424 3922/4421 +f 3870/4434 3563/4454 3917/4430 3916/4431 +f 3560/4455 3559/4451 3910/4168 3911/4166 +f 3558/4452 3557/4453 3908/4172 3909/4170 +f 3681/4349 3683/4348 3904/4432 3916/4431 +f 3565/4449 3555/4427 3920/4426 3919/4428 +f 3550/4447 3560/4455 3911/4166 3912/4163 +f 3873/4343 3808/4261 3906/4260 3905/4293 +f 3563/4454 3564/4448 3918/4429 3917/4430 +f 3568/4360 3687/4359 3922/4421 3923/4420 +f 3837/4336 3178/3641 3823/4127 3822/4419 +f 1589/1846 3931/4456 3930/4457 1583/1839 +f 1692/1879 3937/4458 3934/4459 1615/1880 +f 1583/1839 3930/4457 3929/4460 1577/1832 +f 1450/1709 3926/4461 3924/2157 1414/1707 +f 1625/1893 3935/4462 3936/4463 1691/1947 +f 1424/1710 3925/4464 3926/4461 1450/1709 +f 1615/1880 3934/4459 3935/4462 1625/1893 +f 1577/1832 3929/4460 3928/4465 1571/1820 +f 1691/1947 3936/4463 3925/4464 1424/1710 +f 1601/1860 3933/4466 3932/4467 1595/1853 +f 1571/1820 3928/4465 3927/4468 1565/1821 +f 1595/1853 3932/4467 3931/4456 1589/1846 +f 3932/4467 3946/4469 3945/4470 3931/4456 +f 3925/4464 3939/4471 3940/4472 3926/4461 +f 3933/4466 3947/4473 3946/4469 3932/4467 +f 3928/4465 3942/4474 3941/4475 3927/4468 +f 3937/4458 3951/4476 3948/4477 3934/4459 +f 3929/4460 3943/4478 3942/4474 3928/4465 +f 3934/4459 3948/4477 3949/4479 3935/4462 +f 3930/4457 3944/4480 3943/4478 3929/4460 +f 3935/4462 3949/4479 3950/4481 3936/4463 +f 3931/4456 3945/4470 3944/4480 3930/4457 +f 3926/4461 3940/4472 3938/4482 3924/2157 +f 3936/4463 3950/4481 3939/4471 3925/4464 +f 3950/4481 3964/4483 3953/4484 3939/4471 +f 3946/4469 3960/4485 3959/4486 3945/4470 +f 3939/4471 3953/4484 3954/4487 3940/4472 +f 3947/4473 3961/4488 3960/4485 3946/4469 +f 3942/4474 3956/4489 3955/4490 3941/4475 +f 3951/4476 3965/4491 3962/4492 3948/4477 +f 3943/4478 3957/4493 3956/4489 3942/4474 +f 3948/4477 3962/4492 3963/4494 3949/4479 +f 3944/4480 3958/4495 3957/4493 3943/4478 +f 3949/4479 3963/4494 3964/4483 3950/4481 +f 3945/4470 3959/4486 3958/4495 3944/4480 +f 3940/4472 3954/4487 3952/4496 3938/4482 +f 3964/4483 3978/4497 3967/4498 3953/4484 +f 3960/4485 3974/4499 3973/4500 3959/4486 +f 3953/4484 3967/4498 3968/4501 3954/4487 +f 3961/4488 3975/4502 3974/4499 3960/4485 +f 3956/4489 3970/4503 3969/4504 3955/4490 +f 3965/4491 3979/4505 3976/4506 3962/4492 +f 3957/4493 3971/4507 3970/4503 3956/4489 +f 3962/4492 3976/4506 3977/4508 3963/4494 +f 3958/4495 3972/4509 3971/4507 3957/4493 +f 3963/4494 3977/4508 3978/4497 3964/4483 +f 3959/4486 3973/4500 3972/4509 3958/4495 +f 3954/4487 3968/4501 3966/4510 3952/4496 +f 3978/4497 3992/4511 3981/4512 3967/4498 +f 3974/4499 3988/4513 3987/4514 3973/4500 +f 3967/4498 3981/4512 3982/4515 3968/4501 +f 3975/4502 3989/4516 3988/4513 3974/4499 +f 3970/4503 3984/4517 3983/4518 3969/4504 +f 3979/4505 3993/4519 3990/4520 3976/4506 +f 3971/4507 3985/4521 3984/4517 3970/4503 +f 3976/4506 3990/4520 3991/4522 3977/4508 +f 3972/4509 3986/4523 3985/4521 3971/4507 +f 3977/4508 3991/4522 3992/4511 3978/4497 +f 3973/4500 3987/4514 3986/4523 3972/4509 +f 3968/4501 3982/4515 3980/4524 3966/4510 +f 3992/4511 4006/4525 3995/4526 3981/4512 +f 3988/4513 4002/4527 4001/4528 3987/4514 +f 3981/4512 3995/4526 3996/4529 3982/4515 +f 3989/4516 4003/4530 4002/4527 3988/4513 +f 3984/4517 3998/4531 3997/4532 3983/4518 +f 3993/4519 4007/4533 4004/4534 3990/4520 +f 3985/4521 3999/4535 3998/4531 3984/4517 +f 3990/4520 4004/4534 4005/4536 3991/4522 +f 3986/4523 4000/4537 3999/4535 3985/4521 +f 3991/4522 4005/4536 4006/4525 3992/4511 +f 3987/4514 4001/4528 4000/4537 3986/4523 +f 3982/4515 3996/4529 3994/4538 3980/4524 +f 3996/4529 4010/4539 4008/4540 3994/4538 +f 4006/4525 4020/4541 4009/4542 3995/4526 +f 4002/4527 4016/4543 4015/4544 4001/4528 +f 3995/4526 4009/4542 4010/4539 3996/4529 +f 4003/4530 4017/4545 4016/4543 4002/4527 +f 3998/4531 4012/4546 4011/4547 3997/4532 +f 4007/4533 4021/4548 4018/4549 4004/4534 +f 3999/4535 4013/4550 4012/4546 3998/4531 +f 4004/4534 4018/4549 4019/4551 4005/4536 +f 4000/4537 4014/4552 4013/4550 3999/4535 +f 4005/4536 4019/4551 4020/4541 4006/4525 +f 4001/4528 4015/4544 4014/4552 4000/4537 +f 4015/4544 4029/4553 4028/4554 4014/4552 +f 4010/4539 4024/4555 4022/4556 4008/4540 +f 4020/4541 4034/4557 4023/4558 4009/4542 +f 4016/4543 4030/4559 4029/4553 4015/4544 +f 4009/4542 4023/4558 4024/4555 4010/4539 +f 4017/4545 4031/4560 4030/4559 4016/4543 +f 4012/4546 4026/4561 4025/4562 4011/4547 +f 4021/4548 4035/4563 4032/4564 4018/4549 +f 4013/4550 4027/4565 4026/4561 4012/4546 +f 4018/4549 4032/4564 4033/4566 4019/4551 +f 4014/4552 4028/4554 4027/4565 4013/4550 +f 4019/4551 4033/4566 4034/4557 4020/4541 +f 4141/4567 4048/4568 4049/4569 4140/4570 +f 4029/4553 4044/4571 4043/4572 4028/4554 +f 4143/4573 4038/4574 4036/4575 4142/4576 +f 4140/4570 4049/4569 4037/4577 4144/4578 +f 4030/4559 4045/4579 4044/4571 4029/4553 +f 4144/4578 4037/4577 4038/4574 4143/4573 +f 4031/4560 4046/4580 4045/4579 4030/4559 +f 4026/4561 4041/4581 4040/4582 4025/4562 +f 4027/4565 4042/4583 4041/4581 4026/4561 +f 4028/4554 4043/4572 4042/4583 4027/4565 +f 4048/4568 4062/4584 4063/4585 4049/4569 +f 4147/4586 4059/4587 4058/4588 4146/4589 +f 4038/4574 4053/4590 4051/4591 4036/4575 +f 4049/4569 4063/4585 4052/4592 4037/4577 +f 4148/4593 4060/4594 4059/4587 4147/4586 +f 4037/4577 4052/4592 4053/4590 4038/4574 +f 4149/4595 4061/4596 4060/4594 4148/4593 +f 1556/1814 1555/1804 1560/1818 1602/1867 +f 4151/4597 4056/4598 4055/4599 4150/4600 +f 4153/4601 4057/4602 4056/4598 4151/4597 +f 4146/4589 4058/4588 4057/4602 4153/4601 +f 4065/2158 1872/2147 1440/1706 1683/1708 +f 1871/2144 1872/2147 4065/2158 4066/4603 +f 3924/2157 3938/4482 4066/4603 4065/2158 +f 3938/4482 3952/4496 4067/4604 4066/4603 +f 1870/2140 1871/2144 4066/4603 4067/4604 +f 4103/4605 4104/4606 4081/4607 4087/4608 +f 3994/4538 4008/4540 4103/4605 4102/4609 +f 4103/4605 4087/4608 4093/4610 4102/4609 +f 3980/4524 3994/4538 4102/4609 4068/4611 +f 4157/4612 4054/4613 4047/4614 4152/4615 +f 4102/4609 4093/4610 4099/4616 4068/4611 +f 4152/4615 4047/4614 4070/4617 4155/4618 +f 1868/2135 4074/4619 4073/4620 1867/2136 +f 4156/4621 4039/4622 4054/4613 4157/4612 +f 3966/4510 3980/4524 4068/4611 4069/4623 +f 4088/4624 4078/4625 4076/4626 4090/4627 +f 4074/4619 4080/4628 4079/4629 4073/4620 +f 4068/4611 4099/4616 1869/2138 4069/4623 +f 4090/4627 4076/4626 4072/4630 4094/4631 +f 4084/4632 4082/4633 4078/4625 4088/4624 +f 4096/4634 4088/4624 4090/4627 4077/4635 +f 4077/4635 4090/4627 4094/4631 4071/4636 +f 4100/4637 4084/4632 4088/4624 4096/4634 +f 4080/4628 4086/4638 4085/4639 4079/4629 +f 3952/4496 3966/4510 4069/4623 4067/4604 +f 4095/4640 4100/4637 4096/4634 4101/4641 +f 4083/4642 4077/4635 4071/4636 4089/4643 +f 4101/4641 4096/4634 4077/4635 4083/4642 +f 4086/4638 4092/4644 4091/4645 4085/4639 +f 1869/2138 1870/2140 4067/4604 4069/4623 +f 1866/2148 4095/4640 4101/4641 1865/2145 +f 1898/2152 4083/4642 4089/4643 1894/2156 +f 1865/2145 4101/4641 4083/4642 1898/2152 +f 4159/4646 4098/4647 4097/4648 4158/4649 +f 1868/2135 1869/2138 4099/4616 4074/4619 +f 4080/4628 4074/4619 4099/4616 4093/4610 +f 4086/4638 4080/4628 4093/4610 4087/4608 +f 4086/4638 4087/4608 4081/4607 4092/4644 +f 4159/4646 4160/4650 4075/4651 4098/4647 +f 4008/4540 4022/4556 4104/4606 4103/4605 +f 4154/4652 4105/4653 4075/4651 4160/4650 +f 4142/4576 4036/4575 4105/4653 4154/4652 +f 1866/2148 1867/2136 4073/4620 4095/4640 +f 4073/4620 4079/4629 4100/4637 4095/4640 +f 4084/4632 4100/4637 4079/4629 4085/4639 +f 4082/4633 4084/4632 4085/4639 4091/4645 +f 4156/4621 4082/4633 4091/4645 4158/4649 +f 4161/4654 4141/4567 4033/4566 4032/4564 +f 4145/4655 4161/4654 4032/4564 4035/4563 +f 4108/4656 4113/4657 4112/4658 4107/4659 +f 4109/4660 4114/4661 4113/4657 4108/4656 +f 4110/4662 4115/4663 4114/4661 4109/4660 +f 4111/4664 4116/4665 4115/4663 4110/4662 +f 4113/4657 4118/4666 4117/4667 4112/4658 +f 4114/4661 4119/4668 4118/4666 4113/4657 +f 4115/4663 4120/4669 4119/4668 4114/4661 +f 4116/4665 4121/4670 4120/4669 4115/4663 +f 4117/4667 4118/4666 4119/4668 4122/4671 +f 4119/4668 4120/4669 4121/4670 4122/4671 +f 4108/4656 4107/4659 4070/4617 4047/4614 +f 4097/4648 4126/4672 4123/4673 4039/4622 +f 4098/4647 4127/4674 4126/4672 4097/4648 +f 4105/4653 4128/4675 4125/4676 4075/4651 +f 4075/4651 4125/4676 4127/4674 4098/4647 +f 4039/4622 4123/4673 4124/4677 4054/4613 +f 4036/4575 4051/4591 4128/4675 4105/4653 +f 4047/4614 4054/4613 4124/4677 4108/4656 +f 4127/4674 4138/4678 4137/4679 4126/4672 +f 4125/4676 4136/4680 4138/4678 4127/4674 +f 4062/4584 4132/4681 4133/4682 4063/4585 +f 4128/4675 4139/4683 4136/4680 4125/4676 +f 4063/4585 4133/4682 4130/4684 4052/4592 +f 4126/4672 4137/4679 4134/4685 4123/4673 +f 4051/4591 4129/4686 4139/4683 4128/4675 +f 4053/4590 4131/4687 4129/4686 4051/4591 +f 4052/4592 4130/4684 4131/4687 4053/4590 +f 4123/4673 4134/4685 4135/4688 4124/4677 +f 4124/4677 4135/4688 4109/4660 4108/4656 +f 4033/4566 4141/4567 4140/4570 4034/4557 +f 4024/4555 4143/4573 4142/4576 4022/4556 +f 4034/4557 4140/4570 4144/4578 4023/4558 +f 4023/4558 4144/4578 4143/4573 4024/4555 +f 4044/4571 4147/4586 4146/4589 4043/4572 +f 4045/4579 4148/4593 4147/4586 4044/4571 +f 4046/4580 4149/4595 4148/4593 4045/4579 +f 4041/4581 4151/4597 4150/4600 4040/4582 +f 4042/4583 4153/4601 4151/4597 4041/4581 +f 4043/4572 4146/4589 4153/4601 4042/4583 +f 4078/4625 4157/4612 4152/4615 4076/4626 +f 4076/4626 4152/4615 4155/4618 4072/4630 +f 4082/4633 4156/4621 4157/4612 4078/4625 +f 4092/4644 4159/4646 4158/4649 4091/4645 +f 4092/4644 4081/4607 4160/4650 4159/4646 +f 4104/4606 4154/4652 4160/4650 4081/4607 +f 4022/4556 4142/4576 4154/4652 4104/4606 +f 4039/4622 4156/4621 4158/4649 4097/4648 +f 4106/4689 4048/4568 4141/4567 4161/4654 +f 4050/4690 4106/4689 4161/4654 4145/4655 +f 4129/4686 4169/4691 4170/4692 4139/4683 +f 4136/4680 4162/4693 4171/4694 4138/4678 +f 4130/4684 4168/4695 4167/4696 4131/4687 +f 4134/4685 4164/4697 4163/4698 4135/4688 +f 4135/4688 4163/4698 4110/4662 4109/4660 +f 4138/4678 4171/4694 4172/4699 4137/4679 +f 4132/4681 4166/4700 4165/4701 4133/4682 +f 4139/4683 4170/4692 4162/4693 4136/4680 +f 4137/4679 4172/4699 4164/4697 4134/4685 +f 4131/4687 4167/4696 4169/4691 4129/4686 +f 4133/4682 4165/4701 4168/4695 4130/4684 +f 4166/4700 4132/4681 4174/4702 4175/4703 +f 4132/4681 4062/4584 4173/4704 4174/4702 +f 4062/4584 4048/4568 4106/4689 4173/4704 +f 4050/4690 4064/4705 4173/4704 4106/4689 +f 4060/4594 4181/4706 4180/4707 4059/4587 +f 4056/4598 4177/4708 4176/4709 4055/4599 +f 4059/4587 4180/4707 4179/4710 4058/4588 +f 4058/4588 4179/4710 4178/4711 4057/4602 +f 4061/4596 4182/4712 4181/4706 4060/4594 +f 4057/4602 4178/4711 4177/4708 4056/4598 +f 4178/4711 4185/4713 4184/4714 4177/4708 +f 4181/4706 4188/4715 4187/4716 4180/4707 +f 4177/4708 4184/4714 4183/4717 4176/4709 +f 4180/4707 4187/4716 4186/4718 4179/4710 +f 4179/4710 4186/4718 4185/4713 4178/4711 +f 4182/4712 4189/4719 4188/4715 4181/4706 +f 4064/4705 4197/4720 4174/4702 4173/4704 +f 4197/4720 4198/4721 4175/4703 4174/4702 +f 4388/4722 4206/4723 4205/4724 4387/4725 +f 4390/4726 4201/4727 4200/4728 4389/4729 +f 4391/4730 4202/4731 4201/4727 4390/4726 +f 4393/4732 4203/4733 4202/4731 4391/4730 +f 4394/4734 4204/4735 4203/4733 4393/4732 +f 4392/4736 4207/4737 4199/4738 4395/4739 +f 4387/4725 4205/4724 4204/4735 4394/4734 +f 4207/4737 4209/4740 4208/4741 4199/4738 +f 4211/4742 4219/4743 4218/4744 4210/4745 +f 4212/4746 4220/4747 4219/4743 4211/4742 +f 4213/4748 4221/4749 4220/4747 4212/4746 +f 4214/4750 4222/4751 4221/4749 4213/4748 +f 4215/4752 4223/4753 4222/4751 4214/4750 +f 4216/4754 4224/4755 4223/4753 4215/4752 +f 4219/4743 4228/4756 4227/4757 4218/4744 +f 4220/4747 4229/4758 4228/4756 4219/4743 +f 4225/4759 4234/4760 4226/4761 4217/4762 +f 4221/4749 4230/4763 4229/4758 4220/4747 +f 4222/4751 4231/4764 4230/4763 4221/4749 +f 4223/4753 4232/4765 4231/4764 4222/4751 +f 4224/4755 4233/4766 4232/4765 4223/4753 +f 4233/4766 4242/4767 4241/4768 4232/4765 +f 4228/4756 4237/4769 4236/4770 4227/4757 +f 4229/4758 4238/4771 4237/4769 4228/4756 +f 4234/4760 4243/4772 4235/4773 4226/4761 +f 4230/4763 4239/4774 4238/4771 4229/4758 +f 4231/4764 4240/4775 4239/4774 4230/4763 +f 4232/4765 4241/4768 4240/4775 4231/4764 +f 4242/4767 4251/4776 4250/4777 4241/4768 +f 4237/4769 4246/4778 4245/4779 4236/4770 +f 4238/4771 4247/4780 4246/4778 4237/4769 +f 4243/4772 4252/4781 4244/4782 4235/4773 +f 4239/4774 4248/4783 4247/4780 4238/4771 +f 4240/4775 4249/4784 4248/4783 4239/4774 +f 4241/4768 4250/4777 4249/4784 4240/4775 +f 4247/4780 4256/4785 4255/4786 4246/4778 +f 4252/4781 4261/4787 4253/4788 4244/4782 +f 4248/4783 4257/4789 4256/4785 4247/4780 +f 4249/4784 4258/4790 4257/4789 4248/4783 +f 4250/4777 4259/4791 4258/4790 4249/4784 +f 4251/4776 4260/4792 4259/4791 4250/4777 +f 4246/4778 4255/4786 4254/4793 4245/4779 +f 4255/4786 4264/4794 4263/4795 4254/4793 +f 4261/4787 4269/4796 4262/4797 4253/4788 +f 4258/4790 4266/4798 4265/4799 4257/4789 +f 4259/4791 4267/4800 4266/4798 4258/4790 +f 4260/4792 4268/4801 4267/4800 4259/4791 +f 4397/4802 4270/4803 4273/4804 4396/4805 +f 4399/4806 4274/4807 4275/4808 4398/4809 +f 4396/4805 4273/4804 4272/4810 4400/4811 +f 4400/4811 4272/4810 4274/4807 4399/4806 +f 4401/4812 4271/4813 4270/4803 4397/4802 +f 4271/4813 4277/4814 4276/4815 4270/4803 +f 4270/4803 4276/4815 4279/4816 4273/4804 +f 4274/4807 4280/4817 4281/4818 4275/4808 +f 4273/4804 4279/4816 4278/4819 4272/4810 +f 4272/4810 4278/4819 4280/4817 4274/4807 +f 4283/4820 4289/4821 4288/4822 4282/4823 +f 4282/4823 4288/4822 4291/4824 4285/4825 +f 4286/4826 4292/4827 4293/4828 4287/4829 +f 4285/4825 4291/4824 4290/4830 4284/4831 +f 4284/4831 4290/4830 4292/4827 4286/4826 +f 4289/4821 4295/4832 4294/4833 4288/4822 +f 4288/4822 4294/4833 4297/4834 4291/4824 +f 4292/4827 4298/4835 4299/4836 4293/4828 +f 4291/4824 4297/4834 4296/4837 4290/4830 +f 4290/4830 4296/4837 4298/4835 4292/4827 +f 4295/4832 4301/4838 4300/4839 4294/4833 +f 4294/4833 4300/4839 4303/4840 4297/4834 +f 4298/4835 4304/4841 4305/4842 4299/4836 +f 4297/4834 4303/4840 4302/4843 4296/4837 +f 4296/4837 4302/4843 4304/4841 4298/4835 +f 4301/4838 4307/4844 4306/4845 4300/4839 +f 4300/4839 4306/4845 4309/4846 4303/4840 +f 4304/4841 4310/4847 4311/4848 4305/4842 +f 4303/4840 4309/4846 4308/4849 4302/4843 +f 4302/4843 4308/4849 4310/4847 4304/4841 +f 4307/4844 4313/4850 4312/4851 4306/4845 +f 4306/4845 4312/4851 4315/4852 4309/4846 +f 4317/4853 4316/4854 4417/4855 4409/4856 +f 4309/4846 4315/4852 4314/4857 4308/4849 +f 4411/4858 4419/4859 4418/4860 4410/4861 +f 4401/4812 4395/4739 4199/4738 4271/4813 +f 4199/4738 4208/4741 4277/4814 4271/4813 +f 4217/4762 4226/4761 4289/4821 4283/4820 +f 4226/4761 4235/4773 4295/4832 4289/4821 +f 4235/4773 4244/4782 4301/4838 4295/4832 +f 4244/4782 4253/4788 4307/4844 4301/4838 +f 4253/4788 4262/4797 4313/4850 4307/4844 +f 4320/4862 4326/4863 4359/4864 4358/4865 +f 4364/4866 4322/4867 4323/4868 4365/4869 +f 4365/4869 4323/4868 4321/4870 4370/4871 +f 4370/4871 4321/4870 4320/4862 4366/4872 +f 4369/4873 4319/4874 4322/4867 4364/4866 +f 4319/4874 4325/4875 4328/4876 4322/4867 +f 4323/4868 4329/4877 4327/4878 4321/4870 +f 4322/4867 4328/4876 4329/4877 4323/4868 +f 4358/4865 4359/4864 4324/4879 4318/4880 +f 4321/4870 4327/4878 4326/4863 4320/4862 +f 4331/4881 4337/4882 4340/4883 4334/4884 +f 4335/4885 4341/4886 4339/4887 4333/4888 +f 4334/4884 4340/4883 4341/4886 4335/4885 +f 4360/4889 4361/4890 4336/4891 4330/4892 +f 4333/4888 4339/4887 4338/4893 4332/4894 +f 4337/4882 4343/4895 4346/4896 4340/4883 +f 4341/4886 4347/4897 4345/4898 4339/4887 +f 4340/4883 4346/4896 4347/4897 4341/4886 +f 4361/4890 4362/4899 4342/4900 4336/4891 +f 4339/4887 4345/4898 4344/4901 4338/4893 +f 4343/4895 4349/4902 4352/4903 4346/4896 +f 4347/4897 4353/4904 4351/4905 4345/4898 +f 4346/4896 4352/4903 4353/4904 4347/4897 +f 4362/4899 4363/4906 4348/4907 4342/4900 +f 4345/4898 4351/4905 4350/4908 4344/4901 +f 4349/4902 4354/4909 4356/4910 4352/4903 +f 4352/4903 4356/4910 4357/4911 4353/4904 +f 4332/4894 4338/4893 4361/4890 4360/4889 +f 4338/4893 4344/4901 4362/4899 4361/4890 +f 4344/4901 4350/4908 4363/4906 4362/4899 +f 4372/4912 4374/4913 4373/4914 4371/4915 +f 4372/4912 4379/4916 4380/4917 4374/4913 +f 4379/4916 4383/4918 4384/4919 4380/4917 +f 4367/4920 4366/4872 4320/4862 4358/4865 +f 4358/4865 4318/4880 4368/4921 4367/4920 +f 4196/4922 4388/4722 4387/4725 4195/4923 +f 4191/4924 4390/4726 4389/4729 4190/4925 +f 4192/4926 4391/4730 4390/4726 4191/4924 +f 4193/4927 4393/4732 4391/4730 4192/4926 +f 1602/1867 1560/1818 1610/1895 1606/1881 +f 4194/4928 4394/4734 4393/4732 4193/4927 +f 4195/4923 4387/4725 4394/4734 4194/4928 +f 4293/4828 4299/4836 4343/4895 4337/4882 +f 4275/4808 4281/4818 4325/4875 4319/4874 +f 4398/4809 4275/4808 4319/4874 4369/4873 +f 4305/4842 4311/4848 4354/4909 4349/4902 +f 4287/4829 4293/4828 4337/4882 4331/4881 +f 4299/4836 4305/4842 4349/4902 4343/4895 +f 1560/1818 1561/1817 1611/1897 1610/1895 +f 1561/1817 1562/1824 1622/1948 1611/1897 +f 3788/4310 1622/1948 1562/1824 3775/4298 +f 3872/4388 3788/4310 3775/4298 3838/4376 +f 3838/1828 1563/1827 1694/1874 3872/1946 +f 1563/1827 1564/1822 1693/1875 1694/1874 +f 1564/1822 1565/1821 1692/1879 1693/1875 +f 3937/4458 1692/1879 1565/1821 3927/4468 +f 3927/4468 3941/4475 3951/4476 3937/4458 +f 3941/4475 3955/4490 3965/4491 3951/4476 +f 3955/4490 3969/4504 3979/4505 3965/4491 +f 3969/4504 3983/4518 3993/4519 3979/4505 +f 3983/4518 3997/4532 4007/4533 3993/4519 +f 3997/4532 4011/4547 4021/4548 4007/4533 +f 4011/4547 4025/4562 4035/4563 4021/4548 +f 4145/4655 4035/4563 4025/4562 4040/4582 +f 4040/4582 4150/4600 4050/4690 4145/4655 +f 4150/4600 4055/4599 4064/4705 4050/4690 +f 4055/4599 4176/4709 4197/4720 4064/4705 +f 4176/4709 4183/4717 4198/4721 4197/4720 +f 4190/4925 4389/4729 4207/4737 4392/4736 +f 4389/4729 4200/4728 4209/4740 4207/4737 +f 4210/4745 4218/4744 4234/4760 4225/4759 +f 4218/4744 4227/4757 4243/4772 4234/4760 +f 4227/4757 4236/4770 4252/4781 4243/4772 +f 4236/4770 4245/4779 4261/4787 4252/4781 +f 4269/4796 4261/4787 4245/4779 4254/4793 +f 4351/4905 4353/4904 4357/4911 4355/4929 +f 4407/4930 4315/4852 4312/4851 4404/4931 +f 4313/4850 4405/4932 4404/4931 4312/4851 +f 4262/4797 4402/4933 4405/4932 4313/4850 +f 4317/4853 4357/4911 4356/4910 4408/4934 +f 4315/4852 4407/4930 4406/4935 4314/4857 +f 4402/4933 4262/4797 4269/4796 4403/4936 +f 4357/4911 4317/4853 4409/4856 4355/4929 +f 4311/4848 4411/4858 4410/4861 4354/4909 +f 4408/4934 4356/4910 4354/4909 4410/4861 +f 4254/4793 4263/4795 4403/4936 4269/4796 +f 6394/4937 6393/4938 4384/4919 4413/4939 +f 4413/4939 4384/4919 4383/4918 4412/4940 +f 4416/4941 4408/4934 4410/4861 4418/4860 +f 4316/4854 4317/4853 4408/4934 4416/4941 +f 4421/4942 4413/4939 4412/4940 4420/4943 +f 6395/4944 6394/4937 4413/4939 4421/4942 +f 4425/4945 4421/4942 4420/4943 4424/4946 +f 6396/4947 6395/4944 4421/4942 4425/4945 +f 4419/4859 4411/4858 4429/4948 4430/4949 +f 4429/4948 4411/4858 4311/4848 4310/4847 +f 4310/4847 4308/4849 4314/4857 4429/4948 +f 4430/4949 4429/4948 4314/4857 4406/4935 +f 4265/4799 4428/4950 4256/4785 4257/4789 +f 4428/4950 4431/4951 4255/4786 4256/4785 +f 4431/4951 4432/4952 4264/4794 4255/4786 +f 6397/4953 6396/4947 4425/4945 4447/4954 +f 4442/4955 4416/4941 4418/4860 4444/4956 +f 4263/4795 4433/4957 4437/4958 4403/4936 +f 4432/4952 4451/4959 4434/4960 4264/4794 +f 4405/4932 4439/4961 4438/4962 4404/4931 +f 4419/4859 4445/4963 4444/4956 4418/4860 +f 4402/4933 4436/4964 4439/4961 4405/4932 +f 4445/4963 4419/4859 4430/4949 4450/4965 +f 4436/4964 4402/4933 4403/4936 4437/4958 +f 4316/4854 4435/4966 4443/4967 4417/4855 +f 4441/4968 4407/4930 4404/4931 4438/4962 +f 4407/4930 4441/4968 4440/4969 4406/4935 +f 4447/4954 4425/4945 4424/4946 4446/4970 +f 4264/4794 4434/4960 4433/4957 4263/4795 +f 4406/4935 4440/4969 4450/4965 4430/4949 +f 4435/4966 4316/4854 4416/4941 4442/4955 +f 4433/4957 4452/4971 4456/4972 4437/4958 +f 4455/4973 4436/4964 4437/4958 4456/4972 +f 4454/4974 4435/4966 4442/4955 4461/4975 +f 4460/4976 4441/4968 4438/4962 4457/4977 +f 4434/4960 4453/4978 4452/4971 4433/4957 +f 4466/4979 4447/4954 4446/4970 4465/4980 +f 4441/4968 4460/4976 4459/4981 4440/4969 +f 4461/4975 4442/4955 4444/4956 4463/4982 +f 4464/4983 4445/4963 4450/4965 4469/4984 +f 6398/4985 6397/4953 4447/4954 4466/4979 +f 4439/4961 4458/4986 4457/4977 4438/4962 +f 4435/4966 4454/4974 4462/4987 4443/4967 +f 4440/4969 4459/4981 4469/4984 4450/4965 +f 4436/4964 4455/4973 4458/4986 4439/4961 +f 4445/4963 4464/4983 4463/4982 4444/4956 +f 4451/4959 4470/4988 4453/4978 4434/4960 +f 6756/4989 6737/4990 4481/4991 4473/4992 +f 6738/4993 4484/4994 4481/4991 6737/4990 +f 6739/4995 6738/4993 4503/4996 4504/4997 +f 6740/4998 6739/4995 4504/4997 6400/4999 +f 6740/4998 6400/4999 4505/5000 6741/5001 +f 6742/5002 4487/5003 4486/5004 6741/5005 +f 6743/5006 4489/5007 4487/5003 6742/5002 +f 6743/5006 6744/5008 4472/5009 4489/5007 +f 6744/5008 6745/5010 4471/5011 4472/5009 +f 6745/5010 6746/5012 4475/5013 4471/5011 +f 6747/5014 6746/5012 4494/5015 4493/5016 +f 6747/5014 6748/5017 4477/5018 4474/5019 +f 4536/5020 4517/5021 4514/5022 4533/5023 +f 4510/5024 4529/5025 4528/5026 4509/5027 +f 4542/5028 4523/5029 4522/5030 4541/5031 +f 4517/5021 4536/5020 4535/5032 4516/5033 +f 4537/5034 4518/5035 4520/5036 4539/5037 +f 4540/5038 4521/5039 4526/5040 4545/5041 +f 6402/5042 6401/5043 4523/5029 4542/5028 +f 4515/5044 4534/5045 4533/5023 4514/5022 +f 4511/5046 4530/5047 4538/5048 4519/5049 +f 4516/5033 4535/5032 4545/5041 4526/5040 +f 4512/5050 4531/5051 4534/5045 4515/5044 +f 4521/5039 4540/5038 4539/5037 4520/5036 +f 4527/5052 4546/5053 4529/5025 4510/5024 +f 4509/5027 4528/5026 4532/5054 4513/5055 +f 4531/5051 4512/5050 4513/5055 4532/5054 +f 4530/5047 4511/5046 4518/5035 4537/5034 +f 4535/5032 4554/5056 4564/5057 4545/5041 +f 4531/5051 4550/5058 4553/5059 4534/5045 +f 4540/5038 4559/5060 4558/5061 4539/5037 +f 4546/5053 4565/5062 4548/5063 4529/5025 +f 4528/5026 4547/5064 4551/5065 4532/5054 +f 4550/5058 4531/5051 4532/5054 4551/5065 +f 4549/5066 4530/5047 4537/5034 4556/5067 +f 4555/5068 4536/5020 4533/5023 4552/5069 +f 4529/5025 4548/5063 4547/5064 4528/5026 +f 4561/5070 4542/5028 4541/5031 4560/5071 +f 4536/5020 4555/5068 4554/5056 4535/5032 +f 4556/5067 4537/5034 4539/5037 4558/5061 +f 4559/5060 4540/5038 4545/5041 4564/5057 +f 6403/5072 6402/5042 4542/5028 4561/5070 +f 4534/5045 4553/5059 4552/5069 4533/5023 +f 4530/5047 4549/5066 4557/5073 4538/5048 +f 4568/5074 4549/5066 4556/5067 4575/5075 +f 4574/5076 4555/5068 4552/5069 4571/5077 +f 4548/5063 4567/5078 4566/5079 4547/5064 +f 4580/5080 4561/5070 4560/5071 4579/5081 +f 4555/5068 4574/5076 4573/5082 4554/5056 +f 4575/5075 4556/5067 4558/5061 4577/5083 +f 4578/5084 4559/5060 4564/5057 4583/5085 +f 6404/5086 6403/5072 4561/5070 4580/5080 +f 4553/5059 4572/5087 4571/5077 4552/5069 +f 4549/5066 4568/5074 4576/5088 4557/5073 +f 4554/5056 4573/5082 4583/5085 4564/5057 +f 4550/5058 4569/5089 4572/5087 4553/5059 +f 4559/5060 4578/5084 4577/5083 4558/5061 +f 4565/5062 4584/5090 4567/5078 4548/5063 +f 4547/5064 4566/5079 4570/5091 4551/5065 +f 4569/5089 4550/5058 4551/5065 4570/5091 +f 4573/5082 4592/5092 4602/5093 4583/5085 +f 4569/5089 4588/5094 4591/5095 4572/5087 +f 4578/5084 4597/5096 4596/5097 4577/5083 +f 4584/5090 4603/5098 4586/5099 4567/5078 +f 4566/5079 4585/5100 4589/5101 4570/5091 +f 4588/5094 4569/5089 4570/5091 4589/5101 +f 4587/5102 4568/5074 4575/5075 4594/5103 +f 4593/5104 4574/5076 4571/5077 4590/5105 +f 4567/5078 4586/5099 4585/5100 4566/5079 +f 4599/5106 4580/5080 4579/5081 4598/5107 +f 4574/5076 4593/5104 4592/5092 4573/5082 +f 4594/5103 4575/5075 4577/5083 4596/5097 +f 4597/5096 4578/5084 4583/5085 4602/5093 +f 6405/5108 6404/5086 4580/5080 4599/5106 +f 4572/5087 4591/5095 4590/5105 4571/5077 +f 4568/5074 4587/5102 4595/5109 4576/5088 +f 4606/5110 4587/5102 4594/5103 4613/5111 +f 4612/5112 4593/5104 4590/5105 4609/5113 +f 4586/5099 4605/5114 4604/5115 4585/5100 +f 4618/5116 4599/5106 4598/5107 4617/5117 +f 4593/5104 4612/5112 4611/5118 4592/5092 +f 4613/5111 4594/5103 4596/5097 4615/5119 +f 4616/5120 4597/5096 4602/5093 4621/5121 +f 6406/5122 6405/5108 4599/5106 4618/5116 +f 4591/5095 4610/5123 4609/5113 4590/5105 +f 4587/5102 4606/5110 4614/5124 4595/5109 +f 4592/5092 4611/5118 4621/5121 4602/5093 +f 4588/5094 4607/5125 4610/5123 4591/5095 +f 4597/5096 4616/5120 4615/5119 4596/5097 +f 4603/5098 4622/5126 4605/5114 4586/5099 +f 4585/5100 4604/5115 4608/5127 4589/5101 +f 4607/5125 4588/5094 4589/5101 4608/5127 +f 4606/5110 4625/5128 4633/5129 4614/5124 +f 4611/5118 4630/5130 4640/5131 4621/5121 +f 4607/5125 4626/5132 4629/5133 4610/5123 +f 4616/5120 4635/5134 4634/5135 4615/5119 +f 4622/5126 4641/5136 4624/5137 4605/5114 +f 4604/5115 4623/5138 4627/5139 4608/5127 +f 4626/5132 4607/5125 4608/5127 4627/5139 +f 4625/5128 4606/5110 4613/5111 4632/5140 +f 4631/5141 4612/5112 4609/5113 4628/5142 +f 4605/5114 4624/5137 4623/5138 4604/5115 +f 4637/5143 4618/5116 4617/5117 4636/5144 +f 4612/5112 4631/5141 4630/5130 4611/5118 +f 4632/5140 4613/5111 4615/5119 4634/5135 +f 4635/5134 4616/5120 4621/5121 4640/5131 +f 6407/5145 6406/5122 4618/5116 4637/5143 +f 4610/5123 4629/5133 4628/5142 4609/5113 +f 4644/5146 4625/5128 4632/5140 4651/5147 +f 4650/5148 4631/5141 4628/5142 4647/5149 +f 4624/5137 4643/5150 4642/5151 4623/5138 +f 4656/5152 4637/5143 4636/5144 4655/5153 +f 4631/5141 4650/5148 4649/5154 4630/5130 +f 4651/5147 4632/5140 4634/5135 4653/5155 +f 4654/5156 4635/5134 4640/5131 4659/5157 +f 6408/5158 6407/5145 4637/5143 4656/5152 +f 4629/5133 4648/5159 4647/5149 4628/5142 +f 4625/5128 4644/5146 4652/5160 4633/5129 +f 4630/5130 4649/5154 4659/5157 4640/5131 +f 4626/5132 4645/5161 4648/5159 4629/5133 +f 4635/5134 4654/5156 4653/5155 4634/5135 +f 4641/5136 4660/5162 4643/5150 4624/5137 +f 4623/5138 4642/5151 4646/5163 4627/5139 +f 4645/5161 4626/5132 4627/5139 4646/5163 +f 4673/5164 4654/5156 4659/5157 4678/5165 +f 6409/5166 6408/5158 4656/5152 4675/5167 +f 4648/5159 4667/5168 4666/5169 4647/5149 +f 4644/5146 4663/5170 4671/5171 4652/5160 +f 4649/5154 4668/5172 4678/5165 4659/5157 +f 4645/5161 4664/5173 4667/5168 4648/5159 +f 4654/5156 4673/5164 4672/5174 4653/5155 +f 4660/5162 4679/5175 4662/5176 4643/5150 +f 4642/5151 4661/5177 4665/5178 4646/5163 +f 4664/5173 4645/5161 4646/5163 4665/5178 +f 4663/5170 4644/5146 4651/5147 4670/5179 +f 4669/5180 4650/5148 4647/5149 4666/5169 +f 4643/5150 4662/5176 4661/5177 4642/5151 +f 4675/5167 4656/5152 4655/5153 4674/5181 +f 4650/5148 4669/5180 4668/5172 4649/5154 +f 4670/5179 4651/5147 4653/5155 4672/5174 +f 4683/5182 4664/5173 4665/5178 4684/5183 +f 4682/5184 4663/5170 4670/5179 4689/5185 +f 4688/5186 4669/5180 4666/5169 4685/5187 +f 4662/5176 4681/5188 4680/5189 4661/5177 +f 4694/5190 4675/5167 4674/5181 4693/5191 +f 4669/5180 4688/5186 4687/5192 4668/5172 +f 4689/5185 4670/5179 4672/5174 4691/5193 +f 4692/5194 4673/5164 4678/5165 4697/5195 +f 6410/5196 6409/5166 4675/5167 4694/5190 +f 4667/5168 4686/5197 4685/5187 4666/5169 +f 4663/5170 4682/5184 4690/5198 4671/5171 +f 4668/5172 4687/5192 4697/5195 4678/5165 +f 4664/5173 4683/5182 4686/5197 4667/5168 +f 4673/5164 4692/5194 4691/5193 4672/5174 +f 4679/5175 4698/5199 4681/5188 4662/5176 +f 4661/5177 4680/5189 4684/5183 4665/5178 +f 4711/5200 4692/5194 4697/5195 4716/5201 +f 6411/5202 6410/5196 4694/5190 4713/5203 +f 4686/5197 4705/5204 4704/5205 4685/5187 +f 4682/5184 4701/5206 4709/5207 4690/5198 +f 4687/5192 4706/5208 4716/5201 4697/5195 +f 4683/5182 4702/5209 4705/5204 4686/5197 +f 4692/5194 4711/5200 4710/5210 4691/5193 +f 4698/5199 4717/5211 4700/5212 4681/5188 +f 4680/5189 4699/5213 4703/5214 4684/5183 +f 4702/5209 4683/5182 4684/5183 4703/5214 +f 4701/5206 4682/5184 4689/5185 4708/5215 +f 4707/5216 4688/5186 4685/5187 4704/5205 +f 4681/5188 4700/5212 4699/5213 4680/5189 +f 4713/5203 4694/5190 4693/5191 4712/5217 +f 4688/5186 4707/5216 4706/5208 4687/5192 +f 4708/5215 4689/5185 4691/5193 4710/5210 +f 4717/5211 4736/5218 4719/5219 4700/5212 +f 4699/5213 4718/5220 4722/5221 4703/5214 +f 4721/5222 4702/5209 4703/5214 4722/5221 +f 4720/5223 4701/5206 4708/5215 4727/5224 +f 4726/5225 4707/5216 4704/5205 4723/5226 +f 4700/5212 4719/5219 4718/5220 4699/5213 +f 4732/5227 4713/5203 4712/5217 4731/5228 +f 4707/5216 4726/5225 4725/5229 4706/5208 +f 4727/5224 4708/5215 4710/5210 4729/5230 +f 4730/5231 4711/5200 4716/5201 4735/5232 +f 6412/5233 6411/5202 4713/5203 4732/5227 +f 4705/5204 4724/5234 4723/5226 4704/5205 +f 4701/5206 4720/5223 4728/5235 4709/5207 +f 4706/5208 4725/5229 4735/5232 4716/5201 +f 4702/5209 4721/5222 4724/5234 4705/5204 +f 4711/5200 4730/5231 4729/5230 4710/5210 +f 4726/5225 4745/5236 4744/5237 4725/5229 +f 4746/5238 4727/5224 4729/5230 4748/5239 +f 4749/5240 4730/5231 4735/5232 4754/5241 +f 6413/5242 6412/5233 4732/5227 4751/5243 +f 4724/5234 4743/5244 4742/5245 4723/5226 +f 4720/5223 4739/5246 4747/5247 4728/5235 +f 4725/5229 4744/5237 4754/5241 4735/5232 +f 4721/5222 4740/5248 4743/5244 4724/5234 +f 4730/5231 4749/5240 4748/5239 4729/5230 +f 4736/5218 4755/5249 4738/5250 4719/5219 +f 4718/5220 4737/5251 4741/5252 4722/5221 +f 4740/5248 4721/5222 4722/5221 4741/5252 +f 4739/5246 4720/5223 4727/5224 4746/5238 +f 4745/5236 4726/5225 4723/5226 4742/5245 +f 4719/5219 4738/5250 4737/5251 4718/5220 +f 4751/5243 4732/5227 4731/5228 4750/5253 +f 4755/5249 4774/5254 4757/5255 4738/5250 +f 4737/5251 4756/5256 4760/5257 4741/5252 +f 4759/5258 4740/5248 4741/5252 4760/5257 +f 4758/5259 4739/5246 4746/5238 4765/5260 +f 4764/5261 4745/5236 4742/5245 4761/5262 +f 4738/5250 4757/5255 4756/5256 4737/5251 +f 4770/5263 4751/5243 4750/5253 4769/5264 +f 4745/5236 4764/5261 4763/5265 4744/5237 +f 4765/5260 4746/5238 4748/5239 4767/5266 +f 4768/5267 4749/5240 4754/5241 4773/5268 +f 6414/5269 6413/5242 4751/5243 4770/5263 +f 4743/5244 4762/5270 4761/5262 4742/5245 +f 4739/5246 4758/5259 4766/5271 4747/5247 +f 4744/5237 4763/5265 4773/5268 4754/5241 +f 4740/5248 4759/5258 4762/5270 4743/5244 +f 4749/5240 4768/5267 4767/5266 4748/5239 +f 4789/5272 4770/5263 4769/5264 4788/5273 +f 4764/5261 4783/5274 4782/5275 4763/5265 +f 4784/5276 4765/5260 4767/5266 4786/5277 +f 4787/5278 4768/5267 4773/5268 4792/5279 +f 6415/5280 6414/5269 4770/5263 4789/5272 +f 4762/5270 4781/5281 4780/5282 4761/5262 +f 4758/5259 4777/5283 4785/5284 4766/5271 +f 4763/5265 4782/5275 4792/5279 4773/5268 +f 4759/5258 4778/5285 4781/5281 4762/5270 +f 4768/5267 4787/5278 4786/5277 4767/5266 +f 4774/5254 4793/5286 4776/5287 4757/5255 +f 4756/5256 4775/5288 4779/5289 4760/5257 +f 4778/5285 4759/5258 4760/5257 4779/5289 +f 4777/5283 4758/5259 4765/5260 4784/5276 +f 4783/5274 4764/5261 4761/5262 4780/5282 +f 4757/5255 4776/5287 4775/5288 4756/5256 +f 6372/5290 5868/5291 6328/5292 6325/5293 +f 6347/5294 6342/5295 6341/5296 6348/5297 +f 6381/5298 6435/5299 6390/5300 6374/5301 +f 6374/5301 6390/5300 6242/5302 6441/5303 +f 6373/5304 4803/5305 6441/5303 6242/5302 +f 4842/5306 4802/5307 4803/5308 6373/5309 +f 4830/5310 4799/5311 4802/5307 4842/5306 +f 4799/5311 4830/5310 4812/5312 6416/5313 +f 4809/5314 4800/5315 4799/5311 6416/5313 +f 4800/5315 4809/5314 4810/5316 4828/5317 +f 4800/5315 4828/5317 6362/5318 4801/5319 +f 4787/5278 4820/5320 4815/5321 4786/5277 +f 4824/5322 4806/5323 4813/5324 4831/5325 +f 4805/5326 4823/5327 4822/5328 4804/5329 +f 4835/5330 4817/5331 4816/5332 4834/5333 +f 4812/5312 4830/5310 4829/5334 4811/5335 +f 4831/5325 4813/5324 4815/5321 4833/5336 +f 6418/5337 6417/5338 4817/5331 4835/5330 +f 4802/5307 4799/5311 4800/5315 4801/5319 +f 4806/5323 4824/5322 4832/5339 4814/5340 +f 4811/5335 4829/5334 4838/5341 4820/5320 +f 4807/5342 4825/5343 4828/5317 4810/5316 +f 4821/5344 4839/5345 4823/5327 4805/5326 +f 4804/5329 4822/5328 4826/5346 4808/5347 +f 4825/5343 4807/5342 4808/5347 4826/5346 +f 4824/5322 4840/5348 4844/5349 4832/5339 +f 4829/5334 4841/5350 4847/5351 4838/5341 +f 6377/5352 6289/5353 4801/5319 6362/5318 +f 4840/5348 4824/5322 4831/5325 4843/5354 +f 6223/5355 6233/5356 6248/5357 6237/5358 +f 4830/5310 4842/5306 4841/5350 4829/5334 +f 4843/5354 4831/5325 4833/5336 4845/5359 +f 3/6 4849/1 4848/4 4/7 +f 7/1204 1/2 4849/1 4850/9 +f 10/1202 7/1204 4850/9 4851/14 +f 13/1200 10/1202 4851/14 4852/17 +f 16/1196 13/1200 4852/17 4853/20 +f 19/1197 16/1196 4853/20 4854/23 +f 22/1238 19/1197 4854/23 4855/26 +f 25/1234 22/1238 4855/26 4856/29 +f 28/1235 25/1234 4856/29 4857/32 +f 5079/1230 28/1235 4857/32 5128/35 +f 37/1227 34/1226 4859/41 4860/40 +f 48/1218 45/1223 4862/43 4863/42 +f 51/1219 48/1218 4863/42 4864/48 +f 5081/1214 51/1219 4864/48 5129/51 +f 56/57 4/7 4848/4 4866/54 +f 59/59 56/57 4866/54 4867/60 +f 62/63 59/59 4867/60 4868/64 +f 101/67 62/63 4868/64 4873/68 +f 68/73 65/72 4869/75 4870/74 +f 71/79 68/73 4870/74 4871/80 +f 74/83 71/79 4871/80 4872/84 +f 65/72 101/67 4873/68 4869/75 +f 31/1231 4858/1595 4859/41 34/1226 +f 91/185 4898/104 4896/105 94/179 +f 84/172 4879/99 4878/100 83/109 +f 81/157 4890/89 4888/90 80/93 +f 77/161 4886/86 4891/87 76/162 +f 93/108 4899/101 4877/102 92/176 +f 98/120 4895/111 4893/112 99/122 +f 99/122 4893/112 4874/113 100/124 +f 15/16 12/13 4899/101 4878/100 +f 86/165 4881/97 4880/98 85/166 +f 63/62 102/66 4892/114 4876/107 +f 87/170 4882/96 4881/97 86/165 +f 76/162 4891/87 4883/1593 89/1591 +f 5084/965 5130/94 4884/95 88/169 +f 97/115 4894/110 4895/111 98/120 +f 92/176 4877/102 4897/103 90/182 +f 90/182 4897/103 4898/104 91/185 +f 102/66 66/71 4894/110 4892/114 +f 95/180 4875/106 4876/107 96/117 +f 85/166 4880/98 4879/99 84/172 +f 46/47 43/46 4887/91 4888/90 +f 94/179 4896/105 4875/106 95/180 +f 5083/159 5131/88 4890/89 81/157 +f 88/169 4884/95 4882/96 87/170 +f 4964/5360 4954/5361 4901/5362 4920/5363 +f 4963/5364 4968/5365 4929/5366 4914/5367 +f 4974/5368 4981/5369 4905/5370 4908/5371 +f 4957/5372 4959/5373 4910/5374 4907/5375 +f 4982/5376 4976/5377 4912/5378 4928/5379 +f 4979/5380 4927/5381 4919/5382 4977/5383 +f 4966/5384 4964/5360 4920/5363 4924/5385 +f 4972/5386 4902/5387 4923/5388 4978/5389 +f 4978/5389 4923/5388 4927/5381 4979/5380 +f 4962/5390 4966/5384 4924/5385 4916/5391 +f 4983/5392 4940/5393 4944/5394 4986/5395 +f 4975/5396 4946/5397 4941/5398 4984/5399 +f 4980/5400 4987/5401 4945/5402 4942/5403 +f 4985/5404 4973/5405 4947/5406 4943/5407 +f 4984/5399 4941/5398 4940/5393 4983/5392 +f 4959/5373 4970/5408 4950/5409 4910/5374 +f 4985/5404 4989/5410 4949/5411 4909/5412 +f 4988/5413 4974/5368 4908/5371 4948/5414 +f 4922/5415 4900/5416 4955/5417 4965/5418 +f 4915/5419 4931/5420 4969/5421 4960/5422 +f 4904/5423 4911/5424 4958/5425 4956/5426 +f 4926/5427 4922/5415 4965/5418 4967/5428 +f 4917/5429 4926/5427 4967/5428 4961/5430 +f 4911/5424 4951/5431 4971/5432 4958/5425 +f 4934/5433 4933/5434 4981/5369 4974/5368 +f 4939/5435 4935/5436 4976/5377 4982/5376 +f 4938/5437 4979/5380 4977/5383 4936/5438 +f 4932/5439 4972/5386 4978/5389 4937/5440 +f 4937/5440 4978/5389 4979/5380 4938/5437 +f 4925/5441 4983/5392 4986/5395 4918/5442 +f 4903/5443 4975/5396 4984/5399 4921/5444 +f 4930/5445 4913/5446 4987/5401 4980/5400 +f 4909/5412 4906/5447 4973/5405 4985/5404 +f 4921/5444 4984/5399 4983/5392 4925/5441 +f 4943/5407 4953/5448 4989/5410 4985/5404 +f 4952/5449 4934/5433 4974/5368 4988/5413 +f 4962/5390 4916/5391 4915/5419 4960/5422 +f 6173/5450 6172/5451 4917/5429 4914/5367 +f 5031/5452 5032/5453 5003/5454 5000/5455 +f 5039/5456 5042/5457 4991/5458 4994/5459 +f 5027/5460 5029/5461 4996/5462 4993/5463 +f 5043/5464 5040/5465 4998/5466 5002/5467 +f 5036/5468 5031/5452 5000/5455 5022/5469 +f 6308/5470 6322/5471 6311/5472 6309/5473 +f 5041/5474 5045/5475 5012/5476 5010/5477 +f 5044/5478 5038/5479 5013/5480 5011/5481 +f 5029/5461 5034/5482 5016/5483 4996/5462 +f 5044/5478 5047/5484 5015/5485 4995/5486 +f 5046/5487 5039/5456 4994/5459 5014/5488 +f 6309/5473 6311/5472 6312/5489 6310/5490 +f 5040/5465 5048/5491 5023/5492 4998/5466 +f 5045/5475 5049/5493 5025/5494 5012/5476 +f 5001/5495 5005/5496 5033/5497 5030/5498 +f 4990/5499 4997/5500 5028/5501 5026/5502 +f 5021/5503 5001/5495 5030/5498 5037/5504 +f 4997/5500 5017/5505 5035/5506 5028/5501 +f 5007/5507 5006/5508 5042/5457 5039/5456 +f 5009/5509 5008/5510 5040/5465 5043/5464 +f 5004/5511 4999/5512 5045/5475 5041/5474 +f 4995/5486 4992/5513 5038/5479 5044/5478 +f 5011/5481 5019/5514 5047/5484 5044/5478 +f 5018/5515 5007/5507 5039/5456 5046/5487 +f 5008/5510 5024/5516 5048/5491 5040/5465 +f 4999/5512 5020/5517 5049/5493 5045/5475 +f 32/1594 5078/33 5077/34 33/1592 +f 5052/5518 5057/4269 341/366 285/365 +f 5070/305 5140/5519 5052/5518 285/365 +f 5061/5520 5060/5521 5059/5522 5062/5523 +f 5101/5524 183/5525 215/5526 5091/5527 +f 164/5528 5063/5529 5065/5530 163/5531 +f 5087/5532 908/5533 183/5525 5101/5524 +f 164/5528 163/5531 200/301 201/300 +f 338/312 337/311 5056/4265 5057/4269 +f 165/5534 5064/5535 5063/5529 164/5528 +f 165/5534 164/5528 201/300 202/299 +f 5062/5523 5059/5522 908/5533 5087/5532 +f 338/312 289/5536 359/367 319/313 +f 5304/5537 5307/5538 5249/5539 5210/5540 +f 3750/4289 3751/4291 245/5541 246/5542 +f 3749/4287 3750/4289 246/5542 244/5543 +f 3748/4285 3749/4287 244/5543 714/5544 +f 714/5544 715/5545 3747/4283 3748/4285 +f 315/331 360/335 5074/491 5139/490 +f 5136/5546 5074/491 360/335 361/334 +f 5137/5547 5138/5548 359/367 289/5536 +f 310/326 315/331 342/372 316/328 +f 305/320 310/326 316/328 311/323 +f 300/309 305/320 311/323 306/316 +f 306/316 301/315 276/310 300/309 +f 276/310 301/315 296/5549 277/4262 +f 293/302 5071/296 279/287 278/360 +f 378/389 377/5550 712/4268 379/390 +f 301/315 302/318 297/357 296/5549 +f 298/358 297/357 302/318 303/322 +f 4858/1595 5128/35 5078/33 32/1594 +f 4865/5551 5129/51 5080/52 53/5552 +f 53/5552 5080/52 5082/53 52/5553 +f 4889/5554 52/5553 5082/53 5131/88 +f 4883/1593 33/1592 5077/34 5130/94 +f 144/5555 82/5556 5083/159 5085/158 +f 219/1586 197/1590 5088/229 5090/228 +f 260/1587 219/1586 5090/228 5092/262 +f 283/362 5095/290 5094/291 284/306 +f 284/306 5094/291 5089/294 198/303 +f 715/5545 716/5557 3746/4280 3747/4283 +f 204/304 5147/5558 5140/5519 5070/305 +f 281/286 5095/290 5097/364 339/361 +f 5239/1588 5247/942 5099/943 870/1036 +f 89/1591 5084/965 5086/966 151/971 +f 188/211 5100/969 5086/966 150/168 +f 905/970 5100/969 5088/229 197/1590 +f 5250/5559 5061/5520 5062/5523 5304/5537 +f 867/1037 870/1036 5099/943 5098/1032 +f 143/156 142/155 5210/5540 5249/5539 +f 6772/1220 51/1219 5081/1214 6783/1213 +f 6780/1236 28/1235 5079/1230 6784/1229 +f 1098/1259 1072/1258 5103/1267 5105/1266 +f 1091/1271 1065/1270 5102/1277 5104/1276 +f 1124/1312 1098/1311 5105/1322 5107/1321 +f 1117/1326 1091/1325 5104/1332 5106/1331 +f 1150/1359 1124/1312 5107/1321 5109/1364 +f 1143/1366 1117/1326 5106/1331 5108/1368 +f 1176/1375 1150/1359 5109/1364 5111/1381 +f 1169/1383 1143/1366 5108/1368 5110/1386 +f 1202/1411 1176/1375 5111/1381 5113/1416 +f 1195/1418 1169/1383 5110/1386 5112/1421 +f 1195/1418 5112/1421 5114/1433 1226/1428 +f 1227/1440 1202/1411 5113/1416 5115/1446 +f 1228/1447 1254/5560 5117/1456 5115/1446 +f 1221/1432 1247/1476 5116/1466 5114/1433 +f 1247/1476 1273/1497 5118/1477 5116/1466 +f 1254/5560 1280/5561 5119/1501 5117/1456 +f 1280/5561 1306/5562 5121/1522 5119/1501 +f 1273/1497 1299/1517 5120/1527 5118/1477 +f 1337/1567 1314/1528 1313/1504 1338/1571 +f 1343/1537 1308/1521 1309/1526 1342/1556 +f 5123/1542 1294/1525 1295/1508 5122/1543 +f 5120/1527 1335/1533 1347/1536 1304/1524 +f 1350/1553 1301/1505 1302/1585 1349/1548 +f 1345/1566 1306/5562 1314/1528 1337/1567 +f 1334/1576 5121/1522 1306/5562 1345/1566 +f 716/5557 717/5563 3745/4281 3746/4280 +f 31/1231 5079/1230 5128/35 4858/1595 +f 54/1215 5081/1214 5129/51 4865/5551 +f 89/1591 4883/1593 5130/94 5084/965 +f 82/5556 4889/5554 5131/88 5083/159 +f 732/5564 734/5565 725/1166 724/771 +f 5220/5566 5250/5559 5304/5537 5210/5540 +f 5096/5567 337/311 320/314 288/354 +f 5071/296 290/295 280/288 279/287 +f 288/354 368/359 336/4263 5096/5567 +f 5075/429 342/372 315/331 5139/490 +f 5189/5568 5330/5569 5265/4270 3741/4273 +f 5137/5547 289/5536 5052/5518 5140/5519 +f 342/372 5075/429 5072/388 343/373 +f 724/771 723/772 729/5570 732/5564 +f 5140/5519 5147/5558 5076/5571 5137/5547 +f 735/5572 729/5570 723/772 722/779 +f 722/779 731/778 899/5573 735/5572 +f 898/5574 899/5573 731/778 730/777 +f 296/5549 297/357 5053/356 5054/4193 +f 277/4262 296/5549 5054/4193 5051/4239 +f 5051/4239 5058/4240 336/4263 277/4262 +f 5096/5567 336/4263 5058/4240 5132/4264 +f 5132/4264 5056/4265 337/311 5096/5567 +f 162/5575 185/5576 204/304 198/303 +f 289/5536 338/312 5057/4269 5052/5518 +f 3700/5577 898/5574 730/777 3701/4195 +f 3701/4195 726/774 5143/5578 3700/5577 +f 5144/5579 5143/5578 726/774 713/773 +f 5145/5580 5144/5579 713/773 3740/4238 +f 3740/4238 712/4268 5146/5581 5145/5580 +f 712/4268 377/5550 5259/5582 5146/5581 +f 5147/5558 5068/368 5069/371 5076/5571 +f 5323/5583 5142/5584 901/5585 5322/5586 +f 5147/5558 204/304 185/5576 5068/368 +f 910/1175 5091/5527 124/140 118/135 +f 3744/4277 3745/4281 717/5563 721/5587 +f 721/5587 720/5588 3743/4275 3744/4277 +f 5308/1174 5101/5524 5091/5527 910/1175 +f 720/5588 718/5589 3742/4272 3743/4275 +f 718/5589 719/5590 3741/4273 3742/4272 +f 5307/5538 5087/5532 5101/5524 5308/1174 +f 5178/5591 5206/5592 5207/5593 5155/5594 +f 3741/4273 719/5590 5190/5595 5189/5568 +f 5187/5596 5186/5597 5189/5568 5190/5595 +f 5186/5597 5187/5596 5184/5598 5183/5599 +f 5183/5599 5184/5598 5181/5600 5180/5601 +f 5178/5591 5177/5602 5180/5601 5181/5600 +f 5153/5603 5177/5602 5178/5591 5155/5594 +f 5298/4192 5299/5604 916/1005 3699/4191 +f 5215/5605 5212/5606 5163/5607 5158/5608 +f 132/150 126/144 5063/5529 5064/5535 +f 126/144 120/143 5065/5530 5063/5529 +f 5219/5609 5208/5610 5157/5611 5156/5612 +f 5258/5613 5065/5530 120/143 215/5526 +f 5216/5614 5168/5615 5169/5616 5215/5605 +f 5208/5610 5213/5617 5165/5618 5157/5611 +f 5218/5619 5173/5620 5166/5621 5211/5622 +f 5214/5623 5167/5624 5168/5615 5216/5614 +f 5211/5622 5166/5621 5167/5624 5214/5623 +f 5217/5625 5213/5617 5170/5626 5171/5627 +f 5221/5628 5226/5629 5172/5630 5169/5616 +f 5217/5625 5171/5627 5173/5620 5218/5619 +f 5168/5615 5222/5631 5221/5628 5169/5616 +f 5167/5624 5223/5632 5222/5631 5168/5615 +f 5325/5633 5326/5634 5177/5602 5153/5603 +f 5181/5600 5205/5635 5206/5592 5178/5591 +f 5326/5634 5327/5636 5180/5601 5177/5602 +f 5327/5636 5328/5637 5183/5599 5180/5601 +f 5256/5638 5258/5613 215/5526 183/5525 +f 183/5525 908/5533 5254/5639 5256/5638 +f 5328/5637 5329/5640 5186/5597 5183/5599 +f 5329/5640 5330/5569 5189/5568 5186/5597 +f 5202/5641 5203/5642 269/5643 270/5644 +f 5203/5642 5196/5645 268/5646 269/5643 +f 258/257 257/258 264/266 5188/5647 +f 259/256 258/257 5188/5647 5185/5648 +f 5092/262 259/256 5185/5648 5182/5649 +f 5182/5649 5179/5650 260/1587 5092/262 +f 5179/5650 5176/5651 903/964 260/1587 +f 5176/5651 5067/5652 220/961 903/964 +f 5204/5653 5202/5641 270/5644 5093/5654 +f 253/1108 5194/5655 5193/5656 252/1109 +f 251/769 5195/5657 5194/5655 253/1108 +f 240/252 5191/5658 5197/5659 241/254 +f 243/249 5192/273 5198/5660 242/250 +f 242/250 5198/5660 5191/5658 240/252 +f 241/254 5197/5659 5195/5657 251/769 +f 268/5646 5196/5645 5199/5661 265/5662 +f 265/5662 5199/5661 5200/5663 266/268 +f 266/268 5200/5663 5201/274 267/269 +f 5093/5654 271/5664 5205/5635 5204/5653 +f 271/5664 911/5665 5206/5592 5205/5635 +f 911/5665 737/5666 5207/5593 5206/5592 +f 141/154 5220/5566 5210/5540 142/155 +f 5155/5594 5207/5593 5209/5667 5154/5668 +f 5169/5616 5172/5630 5212/5606 5215/5605 +f 5174/5669 5175/5670 5208/5610 5219/5609 +f 5159/5671 5216/5614 5215/5605 5158/5608 +f 5175/5670 5170/5626 5213/5617 5208/5610 +f 5162/5672 5218/5619 5211/5622 5161/5673 +f 5160/5674 5214/5623 5216/5614 5159/5671 +f 5161/5673 5211/5622 5214/5623 5160/5674 +f 5164/5675 5165/5618 5213/5617 5217/5625 +f 5164/5675 5217/5625 5218/5619 5162/5672 +f 5166/5621 5224/5676 5223/5632 5167/5624 +f 5252/5677 5254/5639 908/5533 5059/5522 +f 5251/5678 5252/5677 5059/5522 5060/5521 +f 5050/5679 5148/369 5251/5678 5060/5521 +f 5050/5679 5151/5680 5149/370 5148/369 +f 5219/5609 5156/5612 5150/5681 5141/5682 +f 5173/5620 5225/5683 5224/5676 5166/5621 +f 5171/5627 5227/5684 5225/5683 5173/5620 +f 5171/5627 5170/5626 5228/5685 5227/5684 +f 5292/1181 5297/5686 5226/5629 5221/5628 +f 5170/5626 5175/5670 5229/5687 5228/5685 +f 5300/5688 5299/5604 5228/5685 5229/5687 +f 5209/5667 5207/5593 737/5666 736/5689 +f 249/857 5230/251 5232/253 247/1099 +f 247/1099 5232/253 5233/255 248/1111 +f 272/276 5234/267 5235/270 273/272 +f 243/249 5231/248 5235/270 267/269 +f 265/5662 266/268 5234/267 5240/275 +f 248/1111 5233/255 5246/770 983/1189 +f 270/5644 269/5643 5237/933 5236/932 +f 269/5643 268/5646 5238/936 5237/933 +f 5093/5654 270/5644 5236/932 5247/942 +f 268/5646 265/5662 5240/275 5238/936 +f 736/5689 737/5666 5242/953 5241/952 +f 737/5666 911/5665 5243/976 5242/953 +f 985/1151 5245/1107 5244/1110 984/1152 +f 983/1189 5246/770 5245/1107 985/1151 +f 271/5664 5239/1588 5243/976 911/5665 +f 271/5664 5093/5654 5247/942 5239/1588 +f 5241/952 895/786 894/785 738/1006 +f 5225/5683 5296/1177 5295/1178 5224/5676 +f 143/156 5249/5539 5133/1173 5085/158 +f 5085/158 5133/1173 5248/1176 144/5555 +f 5062/5523 5087/5532 5307/5538 5304/5537 +f 120/143 124/140 5091/5527 215/5526 +f 5153/5603 5155/5594 5154/5668 5152/5690 +f 901/5585 5142/5584 5141/5682 5150/5681 +f 5148/369 5068/368 185/5576 5251/5678 +f 5146/5581 5150/5681 5156/5612 5145/5580 +f 5156/5612 5157/5611 5144/5579 5145/5580 +f 5252/5677 5251/5678 185/5576 162/5575 +f 162/5575 5253/5691 5254/5639 5252/5677 +f 5157/5611 5165/5618 5143/5578 5144/5579 +f 5165/5618 5164/5675 3700/5577 5143/5578 +f 5089/294 5253/5691 162/5575 198/303 +f 5164/5675 5162/5672 898/5574 3700/5577 +f 5253/5691 5255/5692 5256/5638 5254/5639 +f 899/5573 898/5574 5162/5672 5161/5673 +f 5089/294 203/293 5255/5692 5253/5691 +f 5257/5693 5255/5692 203/293 199/292 +f 163/5531 5257/5693 199/292 200/301 +f 5257/5693 5258/5613 5256/5638 5255/5692 +f 5258/5613 5257/5693 163/5531 5065/5530 +f 735/5572 899/5573 5161/5673 5160/5674 +f 729/5570 735/5572 5160/5674 5159/5671 +f 5159/5671 5158/5608 732/5564 729/5570 +f 5158/5608 5163/5607 734/5565 732/5564 +f 5322/5586 901/5585 5259/5582 5331/5694 +f 3745/4281 3744/4277 5262/4276 5261/4278 +f 5546/1050 5545/5695 5267/5696 5268/5697 +f 5283/5698 5269/5699 5268/5697 5284/1043 +f 5282/1054 5270/5700 5269/5699 5283/5698 +f 5551/5701 5548/1051 5270/5700 5271/5702 +f 5554/5703 5551/5701 5271/5702 5272/5704 +f 5558/5705 5554/5703 5272/5704 5273/5706 +f 5562/5707 5558/5705 5273/5706 5274/5708 +f 5559/1144 5562/5707 5274/5708 5275/5709 +f 5278/1125 5277/5710 5276/5711 5275/5709 +f 5271/5702 5270/5700 5282/1054 5281/1053 +f 5268/5697 5267/5696 5285/1044 5284/1043 +f 5274/5708 5273/5706 5279/1056 5286/1057 +f 5275/5709 5274/5708 5286/1057 5278/1125 +f 1043/1059 5283/5698 5284/1043 1024/1046 +f 5272/5704 5271/5702 5281/1053 5280/1055 +f 5273/5706 5272/5704 5280/1055 5279/1056 +f 891/960 5282/1054 5283/5698 1043/1059 +f 1003/1042 934/1124 5277/5710 5278/1125 +f 5259/5582 901/5585 5150/5681 5146/5581 +f 5289/5712 5287/5713 5288/5714 5290/5715 +f 5219/5609 5141/5682 5289/5712 5174/5669 +f 5287/5713 5289/5712 5141/5682 5142/5584 +f 5323/5583 5333/5716 5287/5713 5142/5584 +f 5289/5712 5290/5715 5291/5717 5174/5669 +f 5291/5717 5229/5687 5175/5670 5174/5669 +f 5224/5676 5295/1178 5294/1179 5223/5632 +f 5223/5632 5294/1179 5293/1180 5222/5631 +f 5222/5631 5293/1180 5292/1181 5221/5628 +f 5227/5684 5298/4192 5296/1177 5225/5683 +f 5227/5684 5228/5685 5299/5604 5298/4192 +f 920/979 733/1172 5297/5686 5292/1181 +f 738/1006 916/1005 5299/5604 5300/5688 +f 5152/5690 5154/5668 5302/5718 5303/5719 +f 5305/5720 5306/5721 5134/5722 5066/5723 +f 5300/5688 5229/5687 5291/5717 5301/5724 +f 5306/5721 5061/5520 193/5725 5134/5722 +f 5300/5688 5301/5724 5209/5667 736/5689 +f 5050/5679 5306/5721 5305/5720 5151/5680 +f 5061/5520 5306/5721 5050/5679 5060/5521 +f 5301/5724 5302/5718 5154/5668 5209/5667 +f 738/1006 5300/5688 736/5689 5241/952 +f 5290/5715 5302/5718 5301/5724 5291/5717 +f 5249/5539 5307/5538 5308/1174 5133/1173 +f 5302/5718 5290/5715 5288/5714 5303/5719 +f 5066/5723 5134/5722 220/961 5067/5652 +f 214/962 220/961 5134/5722 193/5725 +f 193/5725 909/5726 906/972 214/962 +f 909/5726 192/5727 184/968 906/972 +f 139/160 184/968 192/5727 140/5728 +f 140/5728 78/5729 77/161 139/160 +f 4886/86 77/161 78/5729 4885/5730 +f 4885/5730 40/5731 39/39 4886/86 +f 38/36 39/39 40/5731 41/5732 +f 4860/40 38/36 41/5732 4861/5733 +f 5184/5598 5204/5653 5205/5635 5181/5600 +f 5184/5598 5187/5596 5202/5641 5204/5653 +f 5187/5596 5190/5595 5203/5642 5202/5641 +f 5196/5645 5203/5642 5190/5595 719/5590 +f 5199/5661 5196/5645 719/5590 718/5589 +f 5200/5663 5199/5661 718/5589 720/5588 +f 5201/274 5200/5663 720/5588 721/5587 +f 1342/1556 1309/1526 1312/1510 1339/1557 +f 1301/1505 1275/1486 1276/5734 1302/1585 +f 1275/1486 1249/1471 1250/5735 1276/5734 +f 1224/5736 1250/5735 1249/1471 1223/1434 +f 1199/5737 1224/5736 1223/1434 1198/1406 +f 1198/1406 1172/1396 1173/5738 1199/5737 +f 1172/1396 1146/1355 1147/5739 1173/5738 +f 1146/1355 1120/1300 1121/5740 1147/5739 +f 1120/1300 1094/1299 1095/5741 1121/5740 +f 1094/1246 1068/1245 1069/5742 1095/5743 +f 6777/5744 1069/5742 1068/1245 6778/1228 +f 4861/5733 42/5745 37/1227 4860/40 +f 721/5587 717/5563 5192/273 5201/274 +f 5198/5660 5192/273 717/5563 716/5557 +f 5191/5658 5198/5660 716/5557 715/5545 +f 5197/5659 5191/5658 715/5545 714/5544 +f 714/5544 244/5543 5195/5657 5197/5659 +f 244/5543 246/5542 5194/5655 5195/5657 +f 246/5542 245/5541 5193/5656 5194/5655 +f 1294/1525 5123/1542 1341/1550 1310/1519 +f 1302/1585 1276/5734 1277/1502 1303/1523 +f 1288/1484 1314/1528 1306/5562 1280/5561 +f 909/5726 193/5725 5061/5520 5250/5559 +f 5250/5559 5220/5566 192/5727 909/5726 +f 140/5728 192/5727 5220/5566 141/154 +f 141/154 79/92 78/5729 140/5728 +f 5248/1176 910/1175 118/135 113/134 +f 144/5555 5248/1176 113/134 108/125 +f 82/5556 144/5555 108/125 100/124 +f 5316/1564 5125/1563 1341/1550 1326/1549 +f 5318/1561 5316/1564 1325/1555 1328/1558 +f 5316/1564 1326/1549 1324/1538 1325/1555 +f 1326/1549 5314/1541 5315/1539 1324/1538 +f 5314/1541 5313/1544 1331/1582 5315/1539 +f 5313/1544 1323/1560 1327/1583 1331/1582 +f 5317/1580 1327/1583 1323/1560 5312/1574 +f 5312/1574 5311/1578 1329/1572 5317/1580 +f 1330/1568 1329/1572 5311/1578 1320/1535 +f 1322/1565 1330/1568 1320/1535 1332/1534 +f 1333/1575 1322/1565 1332/1534 5309/1529 +f 5309/1529 1316/1532 1321/1570 1333/1575 +f 1316/1532 1317/1554 5310/1552 1321/1570 +f 1319/1546 5310/1552 1317/1554 1318/1547 +f 1276/5734 1250/5735 1251/1459 1277/1502 +f 1225/1437 1251/1459 1250/5735 1224/5736 +f 1224/5736 1199/5737 1200/1403 1225/1437 +f 1174/1394 1200/1403 1199/5737 1173/5738 +f 1173/5738 1147/5739 1148/1352 1174/1394 +f 1147/5739 1121/5740 1122/1293 1148/1352 +f 1096/1294 1122/1293 1121/5740 1095/5741 +f 1070/1240 1096/1239 1095/5743 1069/5742 +f 6775/1222 1070/1240 1069/5742 6777/5744 +f 4862/43 45/1223 42/5745 4861/5733 +f 4861/5733 41/5732 44/44 4862/43 +f 41/5732 40/5731 43/46 44/44 +f 4887/91 43/46 40/5731 4885/5730 +f 4885/5730 78/5729 79/92 4887/91 +f 4889/5554 82/5556 100/124 4874/113 +f 4874/113 75/82 52/5553 4889/5554 +f 53/5552 52/5553 75/82 74/83 +f 4865/5551 53/5552 74/83 4872/84 +f 4872/84 73/85 54/1215 4865/5551 +f 6766/1206 1080/1288 1073/1268 6767/1216 +f 1099/1269 1073/1268 1080/1288 1106/1287 +f 1125/1324 1099/1323 1106/1342 1132/1341 +f 1132/1341 1158/1350 1151/1365 1125/1324 +f 1177/1382 1151/1365 1158/1350 1184/1393 +f 1184/1393 1210/1399 1203/1417 1177/1382 +f 1210/1399 1236/1430 1228/1447 1203/1417 +f 1254/5560 1228/1447 1236/1430 1262/1474 +f 1262/1474 1288/1484 1280/5561 1254/5560 +f 5152/5690 5324/5746 5325/5633 5153/5603 +f 5287/5713 5333/5716 5332/5747 5288/5714 +f 5303/5719 5288/5714 5332/5747 5334/5748 +f 5303/5719 5334/5748 5324/5746 5152/5690 +f 5331/5694 5259/5582 377/5550 373/5749 +f 375/5750 373/5749 377/5550 378/389 +f 376/5751 364/392 409/427 412/432 +f 451/480 455/402 358/401 357/477 +f 380/776 381/775 362/470 370/469 +f 5345/428 5346/489 356/478 357/477 +f 457/479 356/478 5335/5752 410/523 +f 5341/494 5342/5753 375/5750 376/5751 +f 487/542 481/529 5336/539 5337/538 +f 407/396 371/395 5336/539 481/529 +f 487/542 5337/538 5338/1165 493/732 +f 3703/4198 5339/4196 374/398 405/397 +f 3738/4235 5340/4236 370/469 403/472 +f 404/471 362/470 5339/4196 3703/4198 +f 408/426 369/391 5340/4236 3738/4235 +f 375/5750 378/389 364/392 376/5751 +f 418/437 420/440 470/5754 450/487 +f 498/438 418/437 450/487 505/486 +f 505/486 449/483 416/434 498/438 +f 414/431 416/434 449/483 448/482 +f 412/432 414/431 448/482 411/495 +f 376/5751 412/432 411/495 5341/494 +f 5331/5694 373/5749 5138/5548 5137/5547 +f 375/5750 5342/5753 5138/5548 373/5749 +f 5137/5547 5076/5571 5322/5586 5331/5694 +f 5076/5571 5069/371 5323/5583 5322/5586 +f 5069/371 5149/370 5333/5716 5323/5583 +f 5149/370 5151/5680 5332/5747 5333/5716 +f 5151/5680 5305/5720 5334/5748 5332/5747 +f 5324/5746 5334/5748 5305/5720 5066/5723 +f 5066/5723 5067/5652 5325/5633 5324/5746 +f 363/400 5343/403 5344/404 358/401 +f 357/477 358/401 5344/404 5345/428 +f 356/478 5346/489 5347/492 5335/5752 +f 5075/429 5139/490 5346/489 5345/428 +f 470/5754 517/5755 5361/551 5363/517 +f 506/498 5362/485 5354/488 454/499 +f 5364/5756 5365/493 5335/5752 5347/492 +f 453/503 5353/484 5362/485 506/498 +f 410/523 5355/496 5352/481 452/502 +f 5335/5752 5365/493 5355/496 410/523 +f 452/502 5352/481 5353/484 453/503 +f 470/5754 5363/517 5354/488 450/487 +f 517/5755 534/5757 5360/572 5361/551 +f 534/5758 551/5759 5351/585 5360/584 +f 551/5759 568/5760 5350/612 5351/585 +f 568/5760 585/5761 5349/630 5350/612 +f 585/5761 602/5762 5348/660 5349/630 +f 602/5762 619/5763 5359/667 5348/660 +f 619/5763 636/5764 5358/689 5359/667 +f 636/5764 653/5765 5357/710 5358/689 +f 653/5765 670/5766 5356/722 5357/710 +f 670/5766 687/757 5367/746 5356/722 +f 687/757 704/758 5366/765 5367/746 +f 5342/5753 5341/494 5365/493 5364/5756 +f 5138/5548 5136/5546 361/334 359/367 +f 5138/5548 5342/5753 5364/5756 5136/5546 +f 5347/492 5074/491 5136/5546 5364/5756 +f 701/749 707/751 5366/5767 695/767 +f 707/751 706/750 703/5768 5366/5767 +f 703/766 709/761 710/764 702/763 +f 706/750 705/753 709/5769 703/5768 +f 705/753 711/752 708/5770 709/5769 +f 662/728 679/737 687/757 670/5766 +f 670/5766 653/5765 645/715 662/728 +f 653/5765 636/5764 628/694 645/715 +f 636/5764 619/5763 611/673 628/694 +f 619/5763 602/5762 594/642 611/673 +f 577/635 594/642 602/5762 585/5761 +f 585/5761 568/5760 560/617 577/635 +f 568/5760 551/5759 543/596 560/617 +f 551/5759 534/5758 526/597 543/596 +f 534/5757 517/5755 422/442 526/573 +f 420/440 422/442 517/5755 470/5754 +f 5326/5634 5325/5633 5067/5652 5176/5651 +f 5327/5636 5326/5634 5176/5651 5179/5650 +f 5328/5637 5327/5636 5179/5650 5182/5649 +f 5329/5640 5328/5637 5182/5649 5185/5648 +f 5330/5569 5329/5640 5185/5648 5188/5647 +f 5265/4270 5330/5569 5188/5647 264/266 +f 264/266 261/265 5264/4271 5265/4270 +f 261/265 262/263 5263/4274 5264/4271 +f 262/263 263/264 5262/4276 5263/4274 +f 5261/4278 5262/4276 263/264 233/242 +f 233/242 232/243 5260/4279 5261/4278 +f 232/243 230/240 897/4282 5260/4279 +f 230/240 231/241 5319/4284 897/4282 +f 231/241 237/245 5266/4286 5319/4284 +f 237/245 239/246 5320/4288 5266/4286 +f 239/246 238/247 5321/4290 5320/4288 +f 961/1041 5375/1040 5374/1087 962/1085 +f 959/1080 5379/1090 5378/1039 960/1038 +f 1023/1082 5382/1091 5380/1092 963/1083 +f 958/1075 5376/1089 5379/1090 959/1080 +f 957/1129 5377/1130 5381/1088 1007/1074 +f 1047/1162 5383/1156 5382/1091 1023/1082 +f 962/1085 5374/1087 5383/1156 1047/1162 +f 874/1030 964/1028 5377/1130 5373/5771 +f 5377/1130 957/1129 875/1187 5373/5771 +f 1004/1147 1005/1071 944/945 937/944 +f 936/1146 943/1126 1005/1071 1004/1147 +f 5553/1115 5563/5772 5395/5773 274/1103 +f 5398/5774 1012/1133 989/1117 5397/5775 +f 988/941 5396/5776 5397/5775 989/1117 +f 5396/5776 5400/5777 5401/5778 5397/5775 +f 5563/5772 5564/5779 5399/5780 5395/5773 +f 5402/5781 5398/5774 5397/5775 5401/5778 +f 5400/5777 5404/5782 5405/5783 5401/5778 +f 5564/5779 5565/5784 5403/5785 5399/5780 +f 5406/5786 5402/5781 5401/5778 5405/5783 +f 5277/5710 5411/5787 5410/5788 5276/5711 +f 5560/1145 5566/5789 5409/5790 936/1146 +f 885/1123 5407/5791 5408/5792 934/1124 +f 5411/5787 5277/5710 934/1124 5408/5792 +f 885/1123 739/1122 933/1589 5407/5791 +f 876/1184 943/1126 936/1146 5409/5790 +f 871/937 872/277 5399/5780 5403/5785 +f 5395/5773 5399/5780 872/277 272/276 +f 5404/5782 5400/5777 980/5793 873/5794 +f 988/941 979/940 1009/5795 5396/5776 +f 1009/5795 980/5793 5400/5777 5396/5776 +f 272/276 273/272 274/1103 5395/5773 +f 868/934 871/937 5403/5785 5412/5796 +f 860/1033 869/935 868/934 5412/5796 +f 5759/5797 866/1031 874/1030 5749/5798 +f 5748/5799 877/1185 876/1184 5750/5800 +f 5760/5801 5098/1032 860/1033 5751/5802 +f 5731/5803 5418/5804 5423/5805 5730/5806 +f 5762/5807 933/1589 867/1037 5753/5808 +f 5763/5809 5411/5787 5408/5792 5754/5810 +f 5737/5811 5425/5812 5434/5813 5736/5814 +f 5735/5815 5433/5816 5432/5817 5738/5818 +f 5766/5819 5406/5786 5405/5783 5756/5820 +f 5751/5802 860/1033 5412/5796 5764/5821 +f 5743/5822 5416/5823 5426/5824 5742/5825 +f 5733/5826 5421/5827 5429/5828 5744/5829 +f 5742/5825 5426/5824 5427/5830 5739/5831 +f 5750/5800 876/1184 5409/5790 5758/5832 +f 5744/5829 5429/5828 5430/5833 5734/5834 +f 5746/5835 5567/5836 5425/5812 5737/5811 +f 5741/5837 5424/5838 5418/5804 5731/5803 +f 5749/5798 874/1030 5373/5771 5761/5839 +f 5729/5840 5422/5841 5415/5842 5732/5843 +f 5747/5844 5568/5845 5431/5846 5745/5847 +f 5450/5848 5428/5849 5427/5830 5449/5850 +f 5443/5851 5421/5827 5415/5842 5437/5852 +f 5435/5853 5413/5854 5434/5813 5456/5855 +f 5433/5816 5455/5856 5454/5857 5432/5817 +f 5426/5824 5448/5858 5449/5850 5427/5830 +f 5444/5859 5422/5841 5413/5854 5435/5853 +f 5424/5838 5446/5860 5440/5861 5418/5804 +f 5421/5827 5443/5851 5451/5862 5429/5828 +f 5567/5836 5569/5863 5447/5864 5425/5812 +f 5439/5865 5417/5866 5423/5805 5445/5867 +f 5442/5868 5420/5869 5419/5870 5441/5871 +f 5441/5871 5419/5870 5431/5846 5453/5872 +f 5429/5828 5451/5862 5452/5873 5430/5833 +f 5418/5804 5440/5861 5445/5867 5423/5805 +f 5422/5841 5444/5859 5437/5852 5415/5842 +f 5416/5823 5438/5874 5448/5858 5426/5824 +f 5568/5845 5570/5875 5453/5872 5431/5846 +f 5436/5876 5414/5877 5417/5866 5439/5865 +f 5425/5812 5447/5864 5456/5855 5434/5813 +f 5455/5856 5433/5816 5430/5833 5452/5873 +f 5438/5874 5460/5878 5470/5879 5448/5858 +f 5570/5875 5572/5880 5475/5881 5453/5872 +f 5458/5882 5436/5876 5439/5865 5461/5883 +f 5447/5864 5469/5884 5478/5885 5456/5855 +f 5477/5886 5455/5856 5452/5873 5474/5887 +f 5472/5888 5450/5848 5449/5850 5471/5889 +f 5465/5890 5443/5851 5437/5852 5459/5891 +f 5457/5892 5435/5853 5456/5855 5478/5885 +f 5455/5856 5477/5886 5476/5893 5454/5857 +f 5448/5858 5470/5879 5471/5889 5449/5850 +f 5466/5894 5444/5859 5435/5853 5457/5892 +f 5446/5860 5468/5895 5462/5896 5440/5861 +f 5443/5851 5465/5890 5473/5897 5451/5862 +f 5569/5863 5571/5898 5469/5884 5447/5864 +f 5461/5883 5439/5865 5445/5867 5467/5899 +f 5464/5900 5442/5868 5441/5871 5463/5901 +f 5463/5901 5441/5871 5453/5872 5475/5881 +f 5451/5862 5473/5897 5474/5887 5452/5873 +f 5440/5861 5462/5896 5467/5899 5445/5867 +f 5444/5859 5466/5894 5459/5891 5437/5852 +f 5639/5902 5573/5903 5491/5904 5662/5905 +f 5668/5906 5495/5907 5496/5908 5659/5909 +f 5667/5910 5484/5911 5489/5912 5615/5913 +f 5674/5914 5488/5915 5481/5916 5656/5917 +f 5673/5918 5482/5919 5492/5920 5655/5921 +f 5638/5922 5574/5923 5497/5924 5669/5925 +f 5662/5905 5491/5904 5500/5926 5611/5927 +f 5610/5928 5499/5929 5498/5930 5672/5931 +f 5655/5921 5492/5920 5493/5932 5671/5933 +f 5654/5934 5490/5935 5484/5911 5667/5910 +f 5618/5936 5487/5937 5495/5907 5668/5906 +f 5710/5938 5479/5939 5500/5926 5700/5940 +f 5713/5941 5488/5915 5479/5939 5710/5938 +f 5717/5942 5483/5943 5489/5912 5706/5944 +f 5718/5945 5486/5946 5485/5947 5707/5948 +f 5707/5948 5485/5947 5497/5924 5708/5949 +f 5721/5950 5480/5951 5483/5943 5717/5942 +f 5701/5952 5499/5929 5496/5908 5719/5953 +f 5705/5954 5494/5955 5493/5932 5712/5956 +f 5704/5957 5487/5937 5481/5916 5720/5958 +f 5540/5959 5641/5960 5620/5961 5532/5962 +f 5526/5963 5523/5964 5614/5965 5536/5966 +f 5609/5967 5544/5968 5538/5969 5622/5970 +f 5641/5960 5540/5959 5578/5971 5651/5972 +f 5524/5973 5525/5974 5529/5975 5630/5976 +f 5537/5977 5621/5978 5646/5979 5543/5980 +f 5645/5981 5542/5982 5530/5983 5631/5984 +f 5532/5962 5620/5961 5619/5985 5531/5986 +f 5543/5980 5646/5979 5622/5970 5538/5969 +f 5640/5987 5539/5988 5580/5989 5625/5990 +f 5642/5991 5541/5992 5542/5982 5645/5981 +f 5577/5993 5650/5994 5613/5995 5535/5996 +f 5525/5974 5524/5973 5631/5984 5530/5983 +f 5542/5982 5507/5997 5519/5998 5530/5983 +f 5541/5992 5508/5999 5507/5997 5542/5982 +f 5544/5968 5505/6000 5511/6001 5538/5969 +f 5575/6002 5526/5963 5536/5966 5513/6003 +f 5526/5963 5575/6002 5516/6004 5533/6005 +f 5509/6006 5540/5959 5532/5962 5517/6007 +f 5512/6008 5537/5977 5543/5980 5506/6009 +f 5539/5988 5510/6010 5501/6011 5580/5989 +f 5514/6012 5535/5996 5534/6013 5515/6014 +f 5521/6015 5528/6016 5529/5975 5520/6017 +f 5580/5989 5501/6011 5522/6018 5527/6019 +f 5540/5959 5509/6006 5503/6020 5578/5971 +f 5533/6005 5516/6004 5515/6014 5534/6013 +f 5528/6016 5521/6015 5518/6021 5531/5986 +f 5513/6003 5536/5966 5527/6019 5522/6018 +f 5579/6022 5502/6023 5505/6000 5544/5968 +f 5576/6024 5525/5974 5530/5983 5519/5998 +f 5504/6025 5577/5993 5535/5996 5514/6012 +f 5673/5918 5655/5921 5470/5879 5460/5878 +f 5655/5921 5671/5933 5471/5889 5470/5879 +f 5472/5888 5471/5889 5671/5933 5616/6026 +f 5571/5898 5472/5888 5616/6026 5639/5902 +f 5639/5902 5662/5905 5469/5884 5571/5898 +f 5662/5905 5611/5927 5478/5885 5469/5884 +f 5457/5892 5478/5885 5611/5927 5617/6027 +f 5269/5699 5547/1047 5546/1050 5268/5697 +f 5270/5700 5548/1051 5547/1047 5269/5699 +f 1011/1131 5552/1113 5549/1114 1010/1132 +f 1011/1131 1012/1133 5553/1115 5552/1113 +f 1010/1132 5549/1114 5550/1120 1013/1135 +f 1021/1157 5557/1136 5555/1139 1014/1158 +f 5275/5709 5276/5711 5560/1145 5559/1144 +f 981/1100 982/1112 5556/1163 5550/1120 +f 1015/1137 5557/1136 5561/1190 227/1188 +f 227/1188 5561/1190 5556/1163 982/1112 +f 1029/1049 942/1134 5545/5695 5546/1050 +f 940/1106 941/1052 5548/1051 5551/5701 +f 939/951 940/1106 5551/5701 5554/5703 +f 938/947 939/951 5554/5703 5558/5705 +f 937/944 938/947 5558/5705 5562/5707 +f 1004/1147 937/944 5562/5707 5559/1144 +f 1012/1133 5398/5774 5563/5772 5553/1115 +f 5398/5774 5402/5781 5564/5779 5563/5772 +f 5402/5781 5406/5786 5565/5784 5564/5779 +f 5276/5711 5410/5788 5566/5789 5560/1145 +f 5740/6028 5428/5849 5567/5836 5746/5835 +f 5738/5818 5432/5817 5568/5845 5747/5844 +f 5428/5849 5450/5848 5569/5863 5567/5836 +f 5432/5817 5454/5857 5570/5875 5568/5845 +f 5454/5857 5476/5893 5572/5880 5570/5875 +f 5450/5848 5472/5888 5571/5898 5569/5863 +f 5616/6026 5494/5955 5573/5903 5639/5902 +f 5672/5931 5498/5930 5574/5923 5638/5922 +f 5510/6010 5539/5988 5578/5971 5503/6020 +f 5506/6009 5543/5980 5538/5969 5511/6001 +f 5517/6007 5532/5962 5531/5986 5518/6021 +f 5525/5974 5576/6024 5520/6017 5529/5975 +f 5466/5894 5457/5892 5617/6027 5674/5914 +f 5674/5914 5656/5917 5459/5891 5466/5894 +f 5701/5952 5585/6029 5584/6030 5711/6031 +f 5702/6032 5587/6033 5586/6034 5712/5956 +f 5703/6035 5590/6036 5589/6037 5714/6038 +f 5704/5957 5592/6039 5591/6040 5715/6041 +f 5722/6042 5603/6043 5593/6044 5716/6045 +f 5715/6041 5591/6040 5600/6046 5719/5953 +f 5714/6038 5589/6037 5595/6047 5706/5944 +f 5713/5941 5588/6048 5601/6049 5720/5958 +f 5709/6050 5581/6051 5587/6033 5702/6032 +f 5723/6052 5604/6053 5599/6054 5708/5949 +f 5716/6045 5593/6044 5582/6055 5700/5940 +f 5705/5954 5594/6056 5603/6043 5722/6042 +f 5711/6031 5584/6030 5604/6053 5723/6052 +f 5487/5937 5618/5936 5656/5917 5481/5916 +f 5465/5890 5459/5891 5656/5917 5618/5936 +f 5618/5936 5668/5906 5473/5897 5465/5890 +f 5668/5906 5659/5909 5474/5887 5473/5897 +f 5477/5886 5474/5887 5659/5909 5610/5928 +f 5610/5928 5672/5931 5476/5893 5477/5886 +f 5485/5947 5670/6057 5669/5925 5497/5924 +f 5572/5880 5476/5893 5672/5931 5638/5922 +f 5535/5996 5613/5995 5633/6058 5534/6013 +f 5625/5990 5580/5989 5527/6019 5628/6059 +f 5499/5929 5610/5928 5659/5909 5496/5908 +f 5624/6060 5579/6022 5544/5968 5609/5967 +f 5488/5915 5674/5914 5617/6027 5479/5939 +f 5486/5946 5660/6061 5670/6057 5485/5947 +f 5638/5922 5669/5925 5475/5881 5572/5880 +f 5483/5943 5661/6062 5615/5913 5489/5912 +f 5463/5901 5475/5881 5669/5925 5670/6057 +f 5494/5955 5616/6026 5671/5933 5493/5932 +f 5479/5939 5617/6027 5611/5927 5500/5926 +f 5464/5900 5463/5901 5670/6057 5660/6061 +f 5480/5951 5612/6063 5661/6062 5483/5943 +f 5654/5934 5667/5910 5462/5896 5468/5895 +f 5667/5910 5615/5913 5467/5899 5462/5896 +f 5461/5883 5467/5899 5615/5913 5661/6062 +f 5458/5882 5461/5883 5661/6062 5612/6063 +f 5528/6016 5629/6064 5630/5976 5529/5975 +f 5523/5964 5526/5963 5533/6005 5632/6065 +f 5632/6065 5533/6005 5534/6013 5633/6058 +f 5539/5988 5640/5987 5651/5972 5578/5971 +f 5632/6065 5633/6058 5608/6066 5607/6067 +f 5536/5966 5614/5965 5628/6059 5527/6019 +f 5523/5964 5632/6065 5607/6067 5648/6068 +f 5648/6068 5664/6069 5614/5965 5523/5964 +f 5664/6069 5606/6070 5628/6059 5614/5965 +f 5625/5990 5628/6059 5606/6070 5653/6071 +f 5640/5987 5625/5990 5653/6071 5643/6072 +f 5643/6072 5666/6073 5651/5972 5640/5987 +f 5641/5960 5651/5972 5666/6073 5644/6074 +f 5644/6074 5637/6075 5620/5961 5641/5960 +f 5637/6075 5636/6076 5619/5985 5620/5961 +f 5629/6064 5619/5985 5636/6076 5605/6077 +f 5629/6064 5528/6016 5531/5986 5619/5985 +f 5605/6077 5658/6078 5630/5976 5629/6064 +f 5524/5973 5630/5976 5658/6078 5649/6079 +f 5649/6079 5657/6080 5631/5984 5524/5973 +f 5645/5981 5631/5984 5657/6080 5626/6081 +f 5642/5991 5645/5981 5626/6081 5623/6082 +f 5634/6083 5627/6084 5646/5979 5621/5978 +f 5627/6084 5635/6085 5622/5970 5646/5979 +f 5609/5967 5622/5970 5635/6085 5647/6086 +f 5624/6060 5609/5967 5647/6086 5652/6087 +f 5665/6088 5663/6089 5613/5995 5650/5994 +f 5663/6089 5608/6066 5633/6058 5613/5995 +f 5696/6090 5697/6091 5657/6080 5649/6079 +f 5690/6092 5688/6093 5608/6066 5663/6089 +f 5502/6023 5504/6025 5581/6051 5602/6094 +f 5684/6095 5696/6090 5649/6079 5658/6078 +f 5685/6096 5684/6095 5658/6078 5605/6077 +f 5502/6023 5579/6022 5577/5993 5504/6025 +f 5689/6097 5688/6093 5677/6098 5676/6099 +f 5692/6100 5694/6101 5677/6098 5675/6102 +f 5665/6088 5650/5994 5624/6060 5652/6087 +f 5680/6103 5689/6097 5676/6099 5678/6104 +f 5691/6105 5680/6103 5678/6104 5679/6106 +f 5687/6107 5666/6073 5643/6072 5679/6106 +f 5678/6104 5676/6099 5693/6108 5686/6109 +f 5579/6022 5624/6060 5650/5994 5577/5993 +f 5676/6099 5677/6098 5694/6101 5693/6108 +f 5686/6109 5693/6108 5682/6110 5698/6111 +f 5675/6102 5677/6098 5688/6093 5690/6092 +f 5607/6067 5608/6066 5688/6093 5689/6097 +f 5648/6068 5607/6067 5689/6097 5680/6103 +f 5664/6069 5648/6068 5680/6103 5691/6105 +f 5682/6110 5681/6112 5697/6091 5696/6090 +f 5683/6113 5681/6112 5694/6101 5692/6100 +f 5679/6106 5678/6104 5686/6109 5687/6107 +f 5652/6087 5647/6086 5675/6102 5690/6092 +f 5647/6086 5635/6085 5692/6100 5675/6102 +f 5693/6108 5694/6101 5681/6112 5682/6110 +f 5691/6105 5653/6071 5606/6070 5664/6069 +f 5623/6082 5626/6081 5695/6114 5634/6083 +f 5683/6113 5692/6100 5635/6085 5627/6084 +f 5695/6114 5697/6091 5681/6112 5683/6113 +f 5687/6107 5686/6109 5698/6111 5699/6115 +f 5626/6081 5657/6080 5697/6091 5695/6114 +f 5699/6115 5698/6111 5684/6095 5685/6096 +f 5698/6111 5682/6110 5696/6090 5684/6095 +f 5699/6115 5644/6074 5666/6073 5687/6107 +f 5679/6106 5643/6072 5653/6071 5691/6105 +f 5605/6077 5636/6076 5637/6075 5685/6096 +f 5685/6096 5637/6075 5644/6074 5699/6115 +f 5583/6116 5710/5938 5700/5940 5582/6055 +f 5588/6048 5713/5941 5710/5938 5583/6116 +f 5596/6117 5717/5942 5706/5944 5595/6047 +f 5598/6118 5718/5945 5707/5948 5597/6119 +f 5597/6119 5707/5948 5708/5949 5599/6054 +f 5602/6094 5721/5950 5717/5942 5596/6117 +f 5585/6029 5701/5952 5719/5953 5600/6046 +f 5594/6056 5705/5954 5712/5956 5586/6034 +f 5592/6039 5704/5957 5720/5958 5601/6049 +f 5499/5929 5701/5952 5711/6031 5498/5930 +f 5492/5920 5702/6032 5712/5956 5493/5932 +f 5490/5935 5703/6035 5714/6038 5484/5911 +f 5487/5937 5704/5957 5715/6041 5495/5907 +f 5573/5903 5722/6042 5716/6045 5491/5904 +f 5495/5907 5715/6041 5719/5953 5496/5908 +f 5484/5911 5714/6038 5706/5944 5489/5912 +f 5488/5915 5713/5941 5720/5958 5481/5916 +f 5482/5919 5709/6050 5702/6032 5492/5920 +f 5574/5923 5723/6052 5708/5949 5497/5924 +f 5491/5904 5716/6045 5700/5940 5500/5926 +f 5494/5955 5705/5954 5722/6042 5573/5903 +f 5498/5930 5711/6031 5723/6052 5574/5923 +f 5594/6056 5586/6034 5515/6014 5516/6004 +f 5603/6043 5594/6056 5516/6004 5575/6002 +f 5575/6002 5513/6003 5593/6044 5603/6043 +f 5513/6003 5522/6018 5582/6055 5593/6044 +f 5583/6116 5582/6055 5522/6018 5501/6011 +f 5588/6048 5583/6116 5501/6011 5510/6010 +f 5510/6010 5503/6020 5601/6049 5588/6048 +f 5592/6039 5601/6049 5503/6020 5509/6006 +f 5509/6006 5517/6007 5591/6040 5592/6039 +f 5517/6007 5518/6021 5600/6046 5591/6040 +f 5585/6029 5600/6046 5518/6021 5521/6015 +f 5521/6015 5520/6017 5584/6030 5585/6029 +f 5604/6053 5584/6030 5520/6017 5576/6024 +f 5576/6024 5519/5998 5599/6054 5604/6053 +f 5597/6119 5599/6054 5519/5998 5507/5997 +f 5598/6118 5597/6119 5507/5997 5508/5999 +f 5512/6008 5506/6009 5589/6037 5590/6036 +f 5506/6009 5511/6001 5595/6047 5589/6037 +f 5596/6117 5595/6047 5511/6001 5505/6000 +f 5602/6094 5596/6117 5505/6000 5502/6023 +f 5504/6025 5514/6012 5587/6033 5581/6051 +f 5514/6012 5515/6014 5586/6034 5587/6033 +f 5414/5877 5726/6120 5725/6121 5417/5866 +f 5420/5869 5724/6122 5727/6123 5419/5870 +f 5422/5841 5729/5840 5728/6124 5413/5854 +f 5752/6125 5731/5803 5730/5806 5761/5839 +f 5421/5827 5733/5826 5732/5843 5415/5842 +f 5433/5816 5735/5815 5734/5834 5430/5833 +f 5458/5882 5612/6063 5673/5918 5460/5878 +f 5755/6126 5737/5811 5736/5814 5764/5821 +f 5763/5809 5735/5815 5738/5818 5765/6127 +f 5428/5849 5740/6028 5739/5831 5427/5830 +f 5413/5854 5728/6124 5736/5814 5434/5813 +f 5757/6128 5743/5822 5742/5825 5768/6129 +f 5762/5807 5733/5826 5744/5829 5769/6130 +f 5768/6129 5742/5825 5739/5831 5756/5820 +f 5612/6063 5480/5951 5482/5919 5673/5918 +f 5419/5870 5727/6123 5745/5847 5431/5846 +f 5769/6130 5744/5829 5734/5834 5754/5810 +f 5770/6131 5746/5835 5737/5811 5755/6126 +f 5767/6132 5741/5837 5731/5803 5752/6125 +f 5417/5866 5725/6121 5730/5806 5423/5805 +f 5760/5801 5729/5840 5732/5843 5753/5808 +f 5771/6133 5747/5844 5745/5847 5758/5832 +f 5766/5819 5740/6028 5746/5835 5770/6131 +f 5765/6127 5738/5818 5747/5844 5771/6133 +f 5726/6120 5759/5797 5749/5798 5725/6121 +f 5724/6122 5748/5799 5750/5800 5727/6123 +f 5729/5840 5760/5801 5751/5802 5728/6124 +f 5733/5826 5762/5807 5753/5808 5732/5843 +f 5735/5815 5763/5809 5754/5810 5734/5834 +f 5740/6028 5766/5819 5756/5820 5739/5831 +f 5728/6124 5751/5802 5764/5821 5736/5814 +f 5727/6123 5750/5800 5758/5832 5745/5847 +f 5725/6121 5749/5798 5761/5839 5730/5806 +f 5634/6083 5621/5978 5642/5991 5623/6082 +f 875/1187 5752/6125 5761/5839 5373/5771 +f 5709/6050 5482/5919 5480/5951 5721/5950 +f 5403/5785 5755/6126 5764/5821 5412/5796 +f 5411/5787 5763/5809 5765/6127 5410/5788 +f 873/5794 5757/6128 5768/6129 5404/5782 +f 933/1589 5762/5807 5769/6130 5407/5791 +f 5404/5782 5768/6129 5756/5820 5405/5783 +f 5709/6050 5721/5950 5602/6094 5581/6051 +f 5407/5791 5769/6130 5754/5810 5408/5792 +f 5565/5784 5770/6131 5755/6126 5403/5785 +f 5384/1186 5767/6132 5752/6125 875/1187 +f 5098/1032 5760/5801 5753/5808 867/1037 +f 5566/5789 5771/6133 5758/5832 5409/5790 +f 5406/5786 5766/5819 5770/6131 5565/5784 +f 5410/5788 5765/6127 5771/6133 5566/5789 +f 5695/6114 5683/6113 5627/6084 5634/6083 +f 5652/6087 5690/6092 5663/6089 5665/6088 +f 5541/5992 5642/5991 5621/5978 5537/5977 +f 5508/5999 5541/5992 5537/5977 5512/6008 +f 5512/6008 5590/6036 5598/6118 5508/5999 +f 5718/5945 5598/6118 5590/6036 5703/6035 +f 5703/6035 5490/5935 5486/5946 5718/5945 +f 5660/6061 5486/5946 5490/5935 5654/5934 +f 5464/5900 5660/6061 5654/5934 5468/5895 +f 5442/5868 5464/5900 5468/5895 5446/5860 +f 5446/5860 5424/5838 5420/5869 5442/5868 +f 5724/6122 5420/5869 5424/5838 5741/5837 +f 5748/5799 5724/6122 5741/5837 5767/6132 +f 5767/6132 5384/1186 877/1185 5748/5799 +f 5384/1186 5386/1128 950/1127 877/1185 +f 1006/1072 950/1127 5386/1128 5392/1073 +f 5392/1073 5385/1076 951/1066 1006/1072 +f 5385/1076 5389/1079 952/1060 951/1066 +f 5460/5878 5438/5874 5436/5876 5458/5882 +f 5414/5877 5436/5876 5438/5874 5416/5823 +f 5726/6120 5414/5877 5416/5823 5743/5822 +f 5759/5797 5726/6120 5743/5822 5757/6128 +f 5757/6128 873/5794 866/1031 5759/5797 +f 861/1029 866/1031 873/5794 980/5793 +f 5370/927 861/1029 980/5793 1009/5795 +f 864/928 5370/927 1009/5795 979/940 +f 865/930 864/928 979/940 978/939 +f 5368/923 865/930 978/939 878/948 +f 862/924 5368/923 878/948 881/278 +f 863/917 862/924 881/278 879/281 +f 5372/918 863/917 879/281 1051/1105 +f 5371/920 5372/918 1051/1105 1026/1143 +f 5369/1034 5371/920 1026/1143 880/1142 +f 5389/1079 5388/1077 953/1061 952/1060 +f 5388/1077 5387/1078 954/1068 953/1061 +f 5387/1078 5391/1086 955/1069 954/1068 +f 1048/1153 955/1069 5391/1086 5394/1161 +f 5394/1161 5393/1081 1027/1063 1048/1153 +f 5393/1081 5390/1084 956/1064 1027/1063 +f 6184/6134 6185/6135 5772/6136 4900/5416 +f 4955/5417 4900/5416 5772/6136 5779/6137 +f 5780/6138 5790/6139 5784/6140 5774/6141 +f 5789/6142 5779/6137 5772/6136 5782/6143 +f 5790/6139 5780/6138 5776/6144 5786/6145 +f 5781/6146 5791/6147 5787/6148 5777/6149 +f 5791/6147 5781/6146 5775/6150 5785/6151 +f 5778/6152 5788/6153 5783/6154 5773/6155 +f 5800/6156 5790/6139 5786/6145 5796/6157 +f 5791/6147 5801/6158 5797/6159 5787/6148 +f 5801/6158 5791/6147 5785/6151 5795/6160 +f 5788/6153 5798/6161 5793/6162 5783/6154 +f 5790/6139 5800/6156 5794/6163 5784/6140 +f 5799/6164 5789/6142 5782/6143 5792/6165 +f 5843/6166 5811/6167 5807/6168 5842/6169 +f 5849/6170 5808/6171 5803/6172 5848/6173 +f 5852/6174 5810/6175 5804/6176 5850/6177 +f 6356/6178 6357/6179 5857/6180 5868/6181 +f 6313/6182 5846/6183 5857/6180 6357/6179 +f 5828/6184 5823/6185 5813/6186 5818/6187 +f 5830/6188 5824/6189 5814/6190 5820/6191 +f 5820/6191 5816/6192 5826/6193 5830/6188 +f 5831/6194 5827/6195 5817/6196 5821/6197 +f 5821/6197 5815/6198 5825/6199 5831/6194 +f 5819/6200 5812/6201 5822/6202 5829/6203 +f 5811/6167 5805/6204 5815/6198 5821/6197 +f 5821/6197 5817/6196 5807/6168 5811/6167 +f 5810/6175 5806/6205 5816/6192 5820/6191 +f 5820/6191 5814/6190 5804/6176 5810/6175 +f 5818/6187 5813/6186 5803/6172 5808/6171 +f 6318/6206 6219/6207 5846/6183 6313/6182 +f 6317/6208 6224/6209 6219/6207 6318/6206 +f 5809/6210 5802/6211 5812/6201 5819/6200 +f 6224/6209 6314/6212 6315/6213 6219/6207 +f 6219/6207 6315/6213 6316/6214 5846/6183 +f 5811/6167 5843/6166 5844/6215 5805/6204 +f 5809/6210 5851/6216 5845/6217 5802/6211 +f 5810/6175 5852/6174 5847/6218 5806/6205 +f 6428/6219 6429/6220 6235/6221 6323/6222 +f 5861/6223 5839/6224 5832/6225 5853/6226 +f 5862/6227 5840/6228 5836/6229 5858/6230 +f 5841/6231 5863/6232 5859/6233 5837/6234 +f 5863/6232 5841/6231 5835/6235 5856/6236 +f 5838/6237 5860/6238 5854/6239 5833/6240 +f 6355/6241 6356/6178 5868/6181 6372/6242 +f 5840/6228 5862/6227 5855/6243 5834/6244 +f 5872/6245 5861/6223 5853/6226 5864/6246 +f 5873/6247 5862/6227 5858/6230 5869/6248 +f 5846/6183 6316/6214 6329/6249 5857/6180 +f 6322/5471 6308/5470 6345/6250 6340/6251 +f 5863/6232 5874/6252 5870/6253 5859/6233 +f 5874/6252 5863/6232 5856/6236 5867/6254 +f 5860/6238 5871/6255 5865/6256 5854/6239 +f 5862/6227 5873/6247 5866/6257 5855/6243 +f 5916/6258 5917/6259 5888/6260 5885/6261 +f 5924/6262 5927/6263 5876/6264 5879/6265 +f 5912/6266 5914/6267 5881/6268 5878/6269 +f 5928/6270 5925/6271 5883/6272 5887/6273 +f 5921/6274 5916/6258 5885/6261 5907/6275 +f 5926/6276 5930/6277 5897/6278 5895/6279 +f 5929/6280 5923/6281 5898/6282 5896/6283 +f 5914/6267 5919/6284 5901/6285 5881/6268 +f 5929/6280 5932/6286 5900/6287 5880/6288 +f 5931/6289 5924/6262 5879/6265 5899/6290 +f 5925/6271 5933/6291 5908/6292 5883/6272 +f 5930/6277 5934/6293 5910/6294 5897/6278 +f 5886/6295 5890/6296 5918/6297 5915/6298 +f 5875/6299 5882/6300 5913/6301 5911/6302 +f 5906/6303 5886/6295 5915/6298 5922/6304 +f 5882/6300 5902/6305 5920/6306 5913/6301 +f 5892/6307 5891/6308 5927/6263 5924/6262 +f 5894/6309 5893/6310 5925/6271 5928/6270 +f 5889/6311 5884/6312 5930/6277 5926/6276 +f 5880/6288 5877/6313 5923/6281 5929/6280 +f 5896/6283 5904/6314 5932/6286 5929/6280 +f 5903/6315 5892/6307 5924/6262 5931/6289 +f 5893/6310 5909/6316 5933/6291 5925/6271 +f 5884/6312 5905/6317 5934/6293 5930/6277 +f 5976/6318 5944/6319 5940/6320 5975/6321 +f 5981/6322 5941/6323 5936/6324 5980/6325 +f 5984/6326 5943/6327 5937/6328 5982/6329 +f 5961/6330 5956/6331 5946/6332 5951/6333 +f 5963/6334 5957/6335 5947/6336 5953/6337 +f 5953/6337 5949/6338 5959/6339 5963/6334 +f 5964/6340 5960/6341 5950/6342 5954/6343 +f 5954/6343 5948/6344 5958/6345 5964/6340 +f 5952/6346 5945/6347 5955/6348 5962/6349 +f 5944/6319 5938/6350 5948/6344 5954/6343 +f 5954/6343 5950/6342 5940/6320 5944/6319 +f 5943/6327 5939/6351 5949/6338 5953/6337 +f 5953/6337 5947/6336 5937/6328 5943/6327 +f 5951/6333 5946/6332 5936/6324 5941/6323 +f 5942/6352 5935/6353 5945/6347 5952/6346 +f 5944/6319 5976/6318 5977/6354 5938/6350 +f 5942/6352 5983/6355 5978/6356 5935/6353 +f 5943/6327 5984/6326 5979/6357 5939/6351 +f 5992/6358 5972/6359 5965/6360 5985/6361 +f 5993/6362 5973/6363 5969/6364 5989/6365 +f 5974/6366 5994/6367 5990/6368 5970/6369 +f 5994/6367 5974/6366 5968/6370 5988/6371 +f 5971/6372 5991/6373 5986/6374 5966/6375 +f 5973/6363 5993/6362 5987/6376 5967/6377 +f 6002/6378 5992/6358 5985/6361 5995/6379 +f 6003/6380 5993/6362 5989/6365 5999/6381 +f 5994/6367 6004/6382 6000/6383 5990/6368 +f 6004/6382 5994/6367 5988/6371 5998/6384 +f 5991/6373 6001/6385 5996/6386 5986/6374 +f 5993/6362 6003/6380 5997/6387 5987/6376 +f 6046/6388 6047/6389 6018/6390 6015/6391 +f 6054/6392 6057/6393 6006/6394 6009/6395 +f 6042/6396 6044/6397 6011/6398 6008/6399 +f 6058/6400 6055/6401 6013/6402 6017/6403 +f 6051/6404 6046/6388 6015/6391 6037/6405 +f 6056/6406 6060/6407 6027/6408 6025/6409 +f 6059/6410 6053/6411 6028/6412 6026/6413 +f 6044/6397 6049/6414 6031/6415 6011/6398 +f 6059/6410 6062/6416 6030/6417 6010/6418 +f 6061/6419 6054/6392 6009/6395 6029/6420 +f 6055/6401 6063/6421 6038/6422 6013/6402 +f 6060/6407 6064/6423 6040/6424 6027/6408 +f 6016/6425 6020/6426 6048/6427 6045/6428 +f 6005/6429 6012/6430 6043/6431 6041/6432 +f 6036/6433 6016/6425 6045/6428 6052/6434 +f 6012/6430 6032/6435 6050/6436 6043/6431 +f 6022/6437 6021/6438 6057/6393 6054/6392 +f 6024/6439 6023/6440 6055/6401 6058/6400 +f 6019/6441 6014/6442 6060/6407 6056/6406 +f 6010/6418 6007/6443 6053/6411 6059/6410 +f 6026/6413 6034/6444 6062/6416 6059/6410 +f 6033/6445 6022/6437 6054/6392 6061/6419 +f 6023/6440 6039/6446 6063/6421 6055/6401 +f 6014/6442 6035/6447 6064/6423 6060/6407 +f 6106/6448 6074/6449 6070/6450 6105/6451 +f 6111/6452 6071/6453 6066/6454 6110/6455 +f 6114/6456 6073/6457 6067/6458 6112/6459 +f 6091/6460 6086/6461 6076/6462 6081/6463 +f 6093/6464 6087/6465 6077/6466 6083/6467 +f 6083/6467 6079/6468 6089/6469 6093/6464 +f 6094/6470 6090/6471 6080/6472 6084/6473 +f 6084/6473 6078/6474 6088/6475 6094/6470 +f 6082/6476 6075/6477 6085/6478 6092/6479 +f 6074/6449 6068/6480 6078/6474 6084/6473 +f 6084/6473 6080/6472 6070/6450 6074/6449 +f 6073/6457 6069/6481 6079/6468 6083/6467 +f 6083/6467 6077/6466 6067/6458 6073/6457 +f 6081/6463 6076/6462 6066/6454 6071/6453 +f 6072/6482 6065/6483 6075/6477 6082/6476 +f 6074/6449 6106/6448 6107/6484 6068/6480 +f 6072/6482 6113/6485 6108/6486 6065/6483 +f 6073/6457 6114/6456 6109/6487 6069/6481 +f 6122/6488 6102/6489 6095/6490 6115/6491 +f 6123/6492 6103/6493 6099/6494 6119/6495 +f 6104/6496 6124/6497 6120/6498 6100/6499 +f 6124/6497 6104/6496 6098/6500 6118/6501 +f 6101/6502 6121/6503 6116/6504 6096/6505 +f 6103/6493 6123/6492 6117/6506 6097/6507 +f 6132/6508 6122/6488 6115/6491 6125/6509 +f 6133/6510 6123/6492 6119/6495 6129/6511 +f 6124/6497 6134/6512 6130/6513 6120/6498 +f 6134/6512 6124/6497 6118/6501 6128/6514 +f 6121/6503 6131/6515 6126/6516 6116/6504 +f 6123/6492 6133/6510 6127/6517 6117/6506 +f 6140/6518 6148/6519 6144/6520 6136/6521 +f 6144/6520 6148/6519 6156/6522 6152/6523 +f 4996/5462 5016/5483 6519/6524 6518/6525 +f 6701/6526 6735/6527 6708/6528 6156/6522 +f 6522/6529 6555/6530 6138/6531 6146/6532 +f 6149/6533 6141/6534 6137/6535 6145/6536 +f 6142/6537 6150/6538 6146/6532 6138/6531 +f 6150/6539 6142/6540 6136/6521 6144/6520 +f 6141/6541 6149/6542 6143/6543 6135/6544 +f 6157/6545 6149/6533 6145/6536 6153/6546 +f 6150/6538 6158/6547 6154/6548 6146/6532 +f 6158/6549 6150/6539 6144/6520 6152/6523 +f 6149/6542 6157/6550 6151/6551 6143/6543 +f 6340/6251 6345/6250 6348/5297 6341/5296 +f 5010/5477 5012/5476 6491/6552 6490/6553 +f 5848/6173 6516/6554 6475/6555 5021/5503 +f 6066/6454 6076/6462 6496/6556 6495/6557 +f 5035/5506 6520/6558 6535/6559 5014/5488 +f 5848/6173 5803/6172 6515/6560 6516/6554 +f 5946/6332 5956/6331 6507/6561 6532/6562 +f 5878/6269 5881/6268 6565/6563 6524/6564 +f 5853/6226 5832/6225 6527/6565 6526/6566 +f 5801/6158 5795/6160 5866/6257 5873/6247 +f 5873/6247 5869/6248 5797/6159 5801/6158 +f 5022/5469 5000/5455 6476/6567 6475/6555 +f 5864/6246 5853/6226 6526/6566 6525/6568 +f 5874/6252 5867/6254 5997/6387 6003/6380 +f 6004/6382 5998/6384 6127/6517 6133/6510 +f 6133/6510 6129/6511 6000/6383 6004/6382 +f 6003/6380 5999/6381 5870/6253 5874/6252 +f 6128/6569 6132/6508 6151/6551 6157/6550 +f 6134/6512 6128/6514 6157/6545 6153/6546 +f 5011/5481 5013/5480 6489/6570 6538/6571 +f 5975/6321 5940/6320 6547/6572 6546/6573 +f 5833/6240 6527/6565 6513/6574 5823/6185 +f 5005/5496 5001/5495 6476/6567 6477/6575 +f 6313/6182 6357/6179 6351/6576 6305/6577 +f 5907/6275 5885/6261 6493/6578 6159/6579 +f 6320/6580 6334/6581 6329/6249 6316/6214 +f 6225/6582 6238/6583 6245/6584 6230/6585 +f 6289/6586 6377/6587 6241/6588 4827/6589 +f 6242/5302 6228/6590 6230/6585 6245/6584 +f 6222/6591 6236/6592 6247/6593 6232/6594 +f 6303/6595 6338/6596 6334/6581 6320/6580 +f 4803/5308 4802/5307 4801/5319 6289/5353 +f 6231/6597 6246/6598 6239/6599 6226/6600 +f 6441/5303 4803/5305 6289/6586 4827/6589 +f 6246/6598 6231/6597 6232/6594 6247/6593 +f 6385/6601 6386/6602 6246/6598 6247/6593 +f 6386/6602 6387/6603 6239/6599 6246/6598 +f 6385/6604 6371/6605 4844/5349 4840/5348 +f 6335/6606 6392/6607 6332/6608 6330/6609 +f 6373/5309 6389/6610 4841/5350 4842/5306 +f 6235/6221 6249/6611 6234/6612 6220/6613 +f 6389/6610 6370/6614 4847/5351 4841/5350 +f 6264/6615 6261/6616 6260/6617 6263/6618 +f 6261/6616 6264/6615 6262/6619 6259/6620 +f 4827/6589 6241/6588 6392/6607 6240/6621 +f 6212/6622 6213/6623 6197/6624 6196/6625 +f 6209/6626 6212/6622 6196/6625 6193/6627 +f 6229/6628 6244/6629 6277/6630 6273/6631 +f 6300/6632 6294/6633 6260/6617 6256/6634 +f 6295/6635 4798/6636 6294/6633 6300/6632 +f 6296/6637 6290/6638 4798/6636 6295/6635 +f 6296/6637 6297/6639 6291/6640 6290/6638 +f 6291/6640 6297/6639 6298/6641 6292/6642 +f 6298/6641 6299/6643 6293/6644 6292/6642 +f 6280/6645 6276/6646 6275/6647 6279/6648 +f 6278/6649 6274/6650 6276/6646 6280/6645 +f 6193/6627 6194/6651 6210/6652 6209/6626 +f 6194/6651 6195/6653 6211/6654 6210/6652 +f 6195/6653 6198/6655 6214/6656 6211/6654 +f 6437/6657 6450/6658 6293/6644 6299/6643 +f 6450/6658 6437/6657 6436/6659 6449/6660 +f 5035/5506 5017/5505 6519/6524 6520/6558 +f 5817/6196 5827/6195 6539/6661 6488/6662 +f 5858/6230 5836/6229 6540/6663 6541/6664 +f 6356/6178 6355/6241 6353/6665 6352/6666 +f 6207/6667 6214/6656 6198/6655 6191/6668 +f 6274/6650 6449/6660 6436/6659 6270/6669 +f 6270/6669 6272/6670 6276/6646 6274/6650 +f 6272/6670 6271/6671 6275/6647 6276/6646 +f 6447/6672 6446/6673 6302/6674 6304/6675 +f 6269/6676 6273/6631 6275/6647 6271/6671 +f 6229/6628 6273/6631 6269/6676 6213/6677 +f 6207/6667 6191/6668 6192/6678 6208/6679 +f 6215/6680 6208/6679 6192/6678 6199/6681 +f 6199/6681 6200/6682 6216/6683 6215/6680 +f 6205/6684 6216/6683 6200/6682 6189/6685 +f 6190/6686 6206/6687 6205/6684 6189/6685 +f 6217/6688 6206/6687 6190/6686 6201/6689 +f 6201/6689 6202/6690 6218/6691 6217/6688 +f 6319/6692 6302/6674 6303/6595 6320/6580 +f 6321/6693 6304/6675 6302/6674 6319/6692 +f 6335/6606 6438/6694 6240/6621 6392/6607 +f 6333/6695 6328/5292 6329/6696 6334/6697 +f 6306/6698 6318/6206 6313/6182 6305/6577 +f 6203/6699 6218/6691 6202/6690 6187/6700 +f 6188/6701 6204/6702 6203/6699 6187/6700 +f 6233/5356 6234/6612 6249/6611 6248/5357 +f 6307/6703 6317/6208 6318/6206 6306/6698 +f 6188/6701 6250/6704 6254/6705 6204/6702 +f 6361/6706 4846/6707 6383/6708 6382/6709 +f 6315/6213 6319/6692 6320/6580 6316/6214 +f 6314/6212 6321/6693 6319/6692 6315/6213 +f 6424/6710 6426/6711 6262/6619 6264/6615 +f 6323/6222 6221/6712 6258/6713 6324/6714 +f 6330/6609 6325/5293 6328/5292 6333/6695 +f 6418/5337 4835/5330 6361/6706 6433/6715 +f 6354/6716 6327/6717 6326/6718 6360/6719 +f 6428/6219 6323/6222 6324/6714 6427/6720 +f 6335/6606 6330/6609 6333/6695 6337/6721 +f 6337/6721 6333/6695 6334/6697 6338/6722 +f 6382/6723 6383/6724 6237/5358 6248/5357 +f 6434/6725 6382/6723 6248/5357 6430/6726 +f 6356/6178 6352/6666 6351/6576 6357/6179 +f 6350/6727 6353/6665 6355/6241 6358/6728 +f 6350/6727 6358/6728 6359/6729 6349/6730 +f 6358/6728 6354/6731 6360/6732 6359/6729 +f 6367/6733 6364/6734 4826/5346 4822/5328 +f 6366/6735 6365/6736 4823/5327 4839/5345 +f 6365/6736 6367/6733 4822/5328 4823/5327 +f 4837/6737 4819/6738 4818/6739 4836/6740 +f 6422/6741 6444/6742 6445/6743 6423/6744 +f 6423/6744 6445/6743 6446/6673 6421/6745 +f 6421/6745 6446/6673 6447/6672 6420/6746 +f 6369/6747 6362/5318 4828/5317 4825/5343 +f 6378/6748 6379/6749 6326/6718 6363/6750 +f 6332/6608 6363/6750 6326/6718 6327/6717 +f 6376/6751 6379/6752 6364/6734 6367/6733 +f 6388/6753 6380/6754 6365/6736 6366/6735 +f 6380/6754 6376/6751 6367/6733 6365/6736 +f 6378/6755 6377/5352 6362/5318 6369/6747 +f 4825/5343 4826/5346 6364/6734 6369/6747 +f 6433/6715 6361/6706 6382/6709 6434/6756 +f 6374/5301 6441/5303 4827/6589 6240/6621 +f 6369/6747 6364/6734 6379/6752 6378/6755 +f 6359/6729 6360/6732 6376/6757 6380/6758 +f 4843/5354 4845/5359 6387/6759 6386/6760 +f 6349/6730 6359/6729 6380/6758 6388/6761 +f 6327/6717 6325/5293 6330/6609 6332/6608 +f 6381/5298 6374/5301 6240/6621 6438/6694 +f 6327/6717 6354/6716 6372/5290 6325/5293 +f 6443/6762 6381/5298 6438/6694 6442/6763 +f 6360/6719 6326/6718 6379/6749 6376/6764 +f 6242/5302 6245/6584 6389/6765 6373/5304 +f 6247/6593 6236/6592 6371/6766 6385/6601 +f 4835/5330 4834/5333 4846/6707 6361/6706 +f 4840/5348 4843/5354 6386/6760 6385/6604 +f 6245/6584 6238/6583 6370/6767 6389/6765 +f 6363/6750 6241/6588 6377/6587 6378/6748 +f 6322/5471 6340/6251 6427/6720 6426/6711 +f 6340/6251 6341/5296 6428/6219 6427/6720 +f 4834/5333 4816/5332 4814/5340 4832/5339 +f 4833/5336 4815/5321 4820/5320 4838/5341 +f 6341/5296 6342/5295 6429/6220 6428/6219 +f 6243/6768 6229/6769 6213/6623 6212/6622 +f 5046/5487 5014/5488 6535/6559 6536/6770 +f 6264/6615 6263/6618 6425/6771 6424/6710 +f 6227/6772 6243/6768 6212/6622 6209/6626 +f 6431/6773 6429/6220 6342/5295 6343/6774 +f 6430/6726 6431/6773 6343/6774 6339/6775 +f 6434/6725 6430/6726 6339/6775 6384/6776 +f 4374/4913 6391/6777 6432/6778 4373/4914 +f 4374/4913 4380/4917 6336/6779 6391/6777 +f 4380/4917 4384/4919 6393/4938 6336/6779 +f 6249/6611 6431/6773 6430/6726 6248/5357 +f 6235/6221 6429/6220 6431/6773 6249/6611 +f 6384/6780 6331/6781 6433/6715 6434/6756 +f 6337/6721 6442/6763 6438/6694 6335/6606 +f 6227/6772 6435/5299 6439/6782 6243/6768 +f 6392/6607 6241/6588 6363/6750 6332/6608 +f 6358/6728 6355/6241 6372/6242 6354/6731 +f 6254/6705 6250/6704 6251/6783 6255/6784 +f 6419/6785 6420/6746 6447/6672 6448/6786 +f 6338/6722 6444/6787 6442/6763 6337/6721 +f 6448/6786 6447/6672 6304/6675 6301/6788 +f 6302/6674 6446/6673 6445/6743 6303/6595 +f 6244/6629 6422/6741 6423/6744 6277/6630 +f 6440/6789 6227/6772 6209/6626 6210/6652 +f 6423/6744 6421/6745 6279/6648 6277/6630 +f 6243/6768 6439/6782 6244/6790 6229/6769 +f 6440/6789 6228/6590 6242/5302 6390/5300 +f 6280/6645 6279/6648 6421/6745 6420/6746 +f 6422/6791 6443/6762 6442/6763 6444/6787 +f 6278/6649 6280/6645 6420/6746 6419/6785 +f 6257/6792 6255/6784 6251/6783 6253/6793 +f 6331/6781 4836/6794 6418/5337 6433/6715 +f 6324/6714 6262/6619 6426/6711 6427/6720 +f 6262/6619 6324/6714 6258/6713 6259/6620 +f 6210/6652 6211/6654 6228/6590 6440/6789 +f 6445/6743 6444/6742 6338/6596 6303/6595 +f 6147/6795 6139/6796 6135/6544 6143/6543 +f 6143/6543 6151/6551 6155/6797 6147/6795 +f 5836/6229 5826/6193 6539/6661 6540/6663 +f 6554/6798 6549/6799 6148/6519 6140/6518 +f 6026/6413 6028/6412 6499/6800 6512/6801 +f 6029/6420 6050/6436 6484/6802 6531/6803 +f 5024/5516 5008/5510 6491/6552 6485/6804 +f 6253/6793 6252/6805 6256/6634 6257/6792 +f 6288/6806 6300/6632 6256/6634 6252/6805 +f 6211/6654 6214/6656 6230/6585 6228/6590 +f 6225/6582 6230/6585 6214/6656 6207/6667 +f 6279/6648 6275/6647 6273/6631 6277/6630 +f 6122/6488 6132/6508 6128/6569 6118/6807 +f 6225/6582 6207/6667 6208/6679 6226/6600 +f 6295/6635 6300/6632 6288/6806 6281/6808 +f 6281/6808 6282/6809 6296/6637 6295/6635 +f 4993/5463 4996/5462 6518/6525 6517/6810 +f 6435/5299 6227/6772 6440/6789 6390/5300 +f 5868/5291 5857/6811 6329/6696 6328/5292 +f 6049/6414 6044/6397 6010/6418 6030/6417 +f 6007/6443 6010/6418 6044/6397 6042/6396 +f 6047/6389 6046/6388 6014/6812 6019/6813 +f 6035/6814 6014/6812 6046/6388 6051/6404 +f 6038/6815 6112/6816 6111/6452 6052/6434 +f 6113/6485 6072/6482 6068/6817 6107/6818 +f 6072/6482 6082/6476 6078/6819 6068/6817 +f 6082/6476 6092/6479 6088/6820 6078/6819 +f 6092/6479 6085/6478 6095/6490 6102/6489 +f 6043/6431 6050/6436 6029/6420 6009/6395 +f 6041/6432 6043/6431 6009/6395 6006/6394 +f 6017/6821 6013/6822 6045/6428 6048/6427 +f 6052/6434 6045/6428 6013/6822 6038/6815 +f 6114/6456 6112/6459 6038/6422 6063/6421 +f 6063/6421 6039/6446 6109/6487 6114/6456 +f 6483/6823 6482/6824 6109/6487 6039/6446 +f 6112/6816 6067/6825 6071/6453 6111/6452 +f 6067/6825 6077/6826 6081/6463 6071/6453 +f 6077/6826 6087/6827 6091/6460 6081/6463 +f 6092/6479 6102/6489 6098/6828 6088/6820 +f 6094/6470 6088/6475 6098/6500 6104/6496 +f 6102/6489 6122/6488 6118/6807 6098/6828 +f 6274/6650 6278/6649 6451/6829 6449/6660 +f 6342/5295 6347/5294 6344/6830 6343/6774 +f 6343/6774 6344/6830 6346/6831 6339/6775 +f 6339/6775 6346/6831 6375/6832 6384/6776 +f 6384/6833 6375/6834 6368/6835 6331/6836 +f 6331/6836 6368/6835 4837/6737 4836/6740 +f 6435/5299 6381/5298 6443/6762 6439/6782 +f 6439/6782 6443/6762 6422/6791 6244/6790 +f 6231/6597 6226/6600 6208/6679 6215/6680 +f 6215/6680 6216/6683 6232/6594 6231/6597 +f 6222/6591 6232/6594 6216/6683 6205/6684 +f 6206/6687 6223/5355 6222/6591 6205/6684 +f 6282/6809 6283/6837 6297/6639 6296/6637 +f 6298/6641 6297/6639 6283/6837 6284/6838 +f 6284/6838 6285/6839 6299/6643 6298/6641 +f 6285/6839 6286/6840 6437/6657 6299/6643 +f 6233/5356 6223/5355 6206/6687 6217/6688 +f 6217/6688 6218/6691 6234/6612 6233/5356 +f 6453/6841 6294/6633 4798/6636 4797/6842 +f 6290/6638 4796/6843 4797/6842 4798/6636 +f 4796/6843 6290/6638 6291/6640 4795/6844 +f 6452/6845 6293/6644 6450/6658 6454/6846 +f 4794/6847 6292/6642 6293/6644 6452/6845 +f 6292/6642 4794/6847 4795/6844 6291/6640 +f 6454/6846 6450/6658 6449/6660 6451/6829 +f 6263/6618 6260/6617 6294/6633 6453/6841 +f 6455/6848 6224/6209 6317/6208 6459/6849 +f 6312/5489 6425/6771 6461/6850 6457/6851 +f 6460/6852 6321/6693 6314/6212 6458/6853 +f 6224/6209 6455/6848 6458/6853 6314/6212 +f 6459/6849 6317/6208 6307/6703 6456/6854 +f 6425/6771 6263/6618 6453/6841 6461/6850 +f 6301/6788 6304/6675 6321/6693 6460/6852 +f 6469/6855 6465/6856 6467/6857 6468/6858 +f 6471/6859 6462/6860 6463/6861 6470/6862 +f 6472/6863 6452/6845 6454/6846 6468/6858 +f 6473/6864 4796/6843 4795/6844 6470/6862 +f 6471/6859 4794/6847 6452/6845 6472/6863 +f 6312/5489 6311/5472 6424/6710 6425/6771 +f 6451/6829 6469/6855 6468/6858 6454/6846 +f 4794/6847 6471/6859 6470/6862 4795/6844 +f 6466/6865 6472/6863 6468/6858 6467/6857 +f 6462/6860 6471/6859 6472/6863 6466/6865 +f 4796/6843 6473/6864 6474/6866 4797/6842 +f 6460/6852 6458/6853 6467/6857 6465/6856 +f 6426/6711 6424/6710 6311/5472 6322/5471 +f 6419/6785 6469/6855 6451/6829 6278/6649 +f 6460/6852 6465/6856 6448/6786 6301/6788 +f 6453/6841 4797/6842 6474/6866 6461/6850 +f 6419/6785 6448/6786 6465/6856 6469/6855 +f 6459/6849 6456/6854 6463/6861 6462/6860 +f 6455/6848 6459/6849 6462/6860 6466/6865 +f 6310/5490 6312/5489 6457/6851 6464/6867 +f 6310/5490 6464/6867 6456/6854 6307/6703 +f 6466/6865 6467/6857 6458/6853 6455/6848 +f 6323/6222 6235/6221 6220/6613 6221/6712 +f 6220/6613 6234/6612 6218/6691 6203/6699 +f 6220/6613 6203/6699 6204/6702 6221/6712 +f 6286/6840 6287/6868 6436/6659 6437/6657 +f 6270/6669 6436/6659 6287/6868 6266/6869 +f 6119/6495 6099/6494 6557/6870 6558/6871 +f 4953/5448 4943/5407 6160/6872 6174/6873 +f 4943/5407 4947/5406 6161/6874 6160/6872 +f 6182/6875 6183/6876 5783/6154 5793/6162 +f 6183/6876 6185/6135 5773/6155 5783/6154 +f 5775/6877 4903/6878 4955/5417 5779/6137 +f 4975/5396 4903/5443 5775/6150 5781/6146 +f 6186/6879 6184/6134 4900/5416 4922/5415 +f 6171/6880 6186/6879 4922/5415 4926/5427 +f 6171/6880 6172/5451 4916/5391 4924/5385 +f 4963/5364 4914/5367 4917/5429 4961/5430 +f 4918/6881 4913/6882 4963/5364 4961/5430 +f 6176/6883 6173/5450 4914/5367 4929/5366 +f 6175/6884 6177/6885 4911/5424 4904/5423 +f 6177/6885 6179/6886 4951/5431 4911/5424 +f 6180/6887 6179/6886 4950/5409 4970/5408 +f 6178/6888 6181/6889 4949/5411 4989/5410 +f 6178/6888 6174/6873 4952/5449 4988/5413 +f 6180/6887 4970/5408 4949/5411 6181/6889 +f 4958/5425 4971/5432 4948/5414 4908/5371 +f 4956/5426 4958/5425 4908/5371 4905/5370 +f 4928/5379 4912/5378 4960/5422 4969/5421 +f 4987/5401 4913/5446 4918/5442 4986/5395 +f 4986/5395 4944/5394 4945/5402 4987/5401 +f 4966/5384 4962/5390 4919/5382 4927/5381 +f 4927/5381 4923/5388 4964/5360 4966/5384 +f 4923/5388 4902/5387 4954/5361 4964/5360 +f 5781/6146 5777/6149 4946/5397 4975/5396 +f 6168/6890 6167/6891 4946/5397 5777/6149 +f 5774/6141 5784/6140 5788/6153 5778/6152 +f 5798/6161 5788/6153 5784/6140 5794/6163 +f 4942/5403 4945/5402 6163/6892 6162/6893 +f 6170/6894 6169/6895 5787/6148 5797/6159 +f 6169/6895 6168/6890 5777/6149 5787/6148 +f 4972/5386 4932/5439 5776/6144 5780/6138 +f 5780/6138 5774/6141 4902/5387 4972/5386 +f 6166/6896 6167/6891 4932/5439 4937/5440 +f 6165/6897 6166/6896 4937/5440 4938/5437 +f 6164/6898 6165/6897 4938/5437 4936/5438 +f 6164/6898 6163/6892 4945/5402 4944/5394 +f 4976/5377 4935/5436 4936/5438 4977/5383 +f 6162/6893 6163/6892 4935/5436 4939/5435 +f 6160/6872 6161/6874 4933/5434 4934/5433 +f 6174/6873 6160/6872 4934/5433 4952/5449 +f 4936/5438 4935/5436 6163/6892 6164/6898 +f 4944/5394 4940/5393 6165/6897 6164/6898 +f 6542/6899 6541/6664 5859/6233 5870/6253 +f 6541/6664 6540/6663 5837/6234 5859/6233 +f 5840/6228 5834/6244 5824/6189 5830/6188 +f 6488/6662 6539/6661 5826/6193 5816/6192 +f 6487/6900 6488/6662 5816/6192 5806/6205 +f 6486/6901 6487/6900 5806/6205 5847/6218 +f 5036/5468 5022/5469 5845/6217 5851/6216 +f 6485/6804 6491/6552 5012/5476 5025/5494 +f 6490/6553 6491/6552 5008/5510 5009/5509 +f 6538/6571 6489/6570 5006/5508 5007/5507 +f 6537/6902 6538/6571 5007/5507 5018/5515 +f 6536/6770 6537/6902 5018/5515 5046/5487 +f 6536/6770 6535/6559 5015/5485 5047/5484 +f 5034/5482 5029/5461 4995/5486 5015/5485 +f 5028/5501 5035/5506 5014/5488 4994/5459 +f 6520/6558 5034/5482 5015/5485 6535/6559 +f 6520/6558 6519/6524 5016/5483 5034/5482 +f 6518/6525 6519/6524 5017/5505 4997/5500 +f 6517/6810 6518/6525 4997/5500 4990/5499 +f 6477/6575 6476/6567 5000/5455 5003/5454 +f 6475/6555 6476/6567 5001/5495 5021/5503 +f 5844/6903 5020/6904 5036/5468 5851/6216 +f 5049/5493 5020/5517 5844/6215 5843/6166 +f 5843/6166 5842/6169 5025/5494 5049/5493 +f 6516/6554 6515/6560 5802/6211 5845/6217 +f 6515/6560 6514/6905 5812/6201 5802/6211 +f 6514/6905 6513/6574 5822/6202 5812/6201 +f 5830/6188 5826/6193 5836/6229 5840/6228 +f 6540/6663 6539/6661 5827/6195 5837/6234 +f 5841/6231 5837/6234 5827/6195 5831/6194 +f 6526/6566 6527/6565 5833/6240 5854/6239 +f 6525/6568 6526/6566 5854/6239 5865/6256 +f 4940/5393 4941/5398 6166/6896 6165/6897 +f 4941/5398 4946/5397 6167/6891 6166/6896 +f 5786/6145 5776/6144 6168/6890 6169/6895 +f 6266/6869 6268/6906 6272/6670 6270/6669 +f 6268/6906 6267/6907 6271/6671 6272/6670 +f 6204/6702 6254/6705 6258/6713 6221/6712 +f 6259/6620 6258/6713 6254/6705 6255/6784 +f 6236/6592 6222/6591 6223/5355 6237/5358 +f 6371/6766 6236/6592 6237/5358 6383/6724 +f 6383/6708 4846/6707 4844/5349 6371/6605 +f 4832/5339 4844/5349 4846/6707 4834/5333 +f 4838/5341 4847/5351 4845/5359 4833/5336 +f 6387/6759 4845/5359 4847/5351 6370/6614 +f 6370/6767 6238/6583 6239/6599 6387/6603 +f 6238/6583 6225/6582 6226/6600 6239/6599 +f 6261/6616 6259/6620 6255/6784 6257/6792 +f 6257/6792 6256/6634 6260/6617 6261/6616 +f 6267/6907 6265/6908 6269/6676 6271/6671 +f 6213/6677 6269/6676 6265/6908 6197/6909 +f 5796/6157 5786/6145 6169/6895 6170/6894 +f 5776/6144 4932/5439 6167/6891 6168/6890 +f 4971/5432 6180/6887 6181/6889 4948/5414 +f 6501/6910 6502/6911 5986/6374 5996/6386 +f 6502/6911 6503/6912 5966/6375 5986/6374 +f 5971/6372 5966/6375 5956/6331 5961/6330 +f 6532/6562 6507/6561 5955/6348 5945/6347 +f 6533/6913 6532/6562 5945/6347 5935/6353 +f 6534/6914 6533/6913 5935/6353 5978/6356 +f 5908/6915 5982/6916 5981/6322 5922/6304 +f 6159/6579 6493/6578 5886/6295 5906/6303 +f 6494/6917 6493/6578 5885/6261 5888/6260 +f 6524/6564 6565/6563 5882/6300 5875/6299 +f 6565/6563 6564/6918 5902/6305 5882/6300 +f 6563/6919 6564/6918 5901/6285 5919/6284 +f 6562/6920 6550/6921 5900/6287 5932/6286 +f 6562/6920 6551/6922 5903/6315 5931/6289 +f 6551/6922 6552/6923 5892/6307 5903/6315 +f 6552/6923 6480/6924 5891/6308 5892/6307 +f 6550/6921 5899/6290 5920/6306 6563/6919 +f 5913/6301 5920/6306 5899/6290 5879/6265 +f 5911/6302 5913/6301 5879/6265 5876/6264 +f 5887/6925 5883/6926 5915/6298 5918/6297 +f 5922/6304 5915/6298 5883/6926 5908/6915 +f 5984/6326 5982/6329 5908/6292 5933/6291 +f 5933/6291 5909/6316 5979/6357 5984/6326 +f 6528/6927 6546/6573 5979/6357 5909/6316 +f 5982/6916 5937/6928 5941/6323 5981/6322 +f 5937/6928 5947/6929 5951/6333 5941/6323 +f 5947/6929 5957/6930 5961/6330 5951/6333 +f 5957/6930 5967/6931 5971/6372 5961/6330 +f 5973/6363 5967/6377 5957/6335 5963/6334 +f 5963/6334 5959/6339 5969/6364 5973/6363 +f 5991/6373 5971/6372 5967/6931 5987/6932 +f 5987/6932 5997/6933 6001/6385 5991/6373 +f 5872/6245 6001/6385 5997/6933 5867/6934 +f 5861/6223 5872/6245 5867/6934 5856/6935 +f 5839/6224 5861/6223 5856/6935 5835/6936 +f 5831/6194 5825/6199 5835/6235 5841/6231 +f 5835/6936 5825/6937 5829/6203 5839/6224 +f 5829/6203 5822/6202 5832/6225 5839/6224 +f 5819/6200 5829/6203 5825/6937 5815/6938 +f 5809/6210 5819/6200 5815/6938 5805/6939 +f 5851/6216 5809/6210 5805/6939 5844/6903 +f 6486/6901 5847/6218 5024/5516 6485/6804 +f 5048/5491 5024/5516 5847/6218 5852/6174 +f 5852/6174 5850/6177 5023/5492 5048/5491 +f 5020/6904 4999/6940 5031/5452 5036/5468 +f 5032/5453 5031/5452 4999/6940 5004/6941 +f 4992/5513 4995/5486 5029/5461 5027/5460 +f 5026/5502 5028/5501 4994/5459 4991/5458 +f 5002/6942 4998/6943 5030/5498 5033/5497 +f 5037/5504 5030/5498 4998/6943 5023/6944 +f 5023/6944 5850/6945 5849/6170 5037/5504 +f 5849/6170 5848/6173 5021/5503 5037/5504 +f 6516/6554 5845/6217 5022/5469 6475/6555 +f 5850/6945 5804/6946 5808/6171 5849/6170 +f 5804/6946 5814/6947 5818/6187 5808/6171 +f 5814/6947 5824/6948 5828/6184 5818/6187 +f 5824/6948 5834/6949 5838/6237 5828/6184 +f 5838/6237 5833/6240 5823/6185 5828/6184 +f 6527/6565 5832/6225 5822/6202 6513/6574 +f 5860/6238 5838/6237 5834/6949 5855/6950 +f 5855/6950 5866/6951 5871/6255 5860/6238 +f 5799/6164 5871/6255 5866/6951 5795/6952 +f 5795/6952 5785/6953 5789/6142 5799/6164 +f 5779/6137 5789/6142 5785/6953 5775/6877 +f 5774/6141 5778/6152 4954/5361 4902/5387 +f 5778/6152 5773/6155 4901/5362 4954/5361 +f 4965/5418 4955/5417 4903/6878 4921/6954 +f 4967/5428 4965/5418 4921/6954 4925/6955 +f 4925/6955 4918/6881 4961/5430 4967/5428 +f 4977/5383 4919/5382 4912/5378 4976/5377 +f 4919/5382 4962/5390 4960/5422 4912/5378 +f 4968/5365 4963/5364 4913/6882 4930/6956 +f 4906/5447 4909/5412 4959/5373 4957/5372 +f 4970/5408 4959/5373 4909/5412 4949/5411 +f 5919/6284 5914/6267 5880/6288 5900/6287 +f 5877/6313 5880/6288 5914/6267 5912/6266 +f 5917/6259 5916/6258 5884/6957 5889/6958 +f 5905/6959 5884/6957 5916/6258 5921/6274 +f 5976/6318 5975/6321 5910/6294 5934/6293 +f 5934/6293 5905/6317 5977/6354 5976/6318 +f 5921/6274 5983/6355 5977/6960 5905/6959 +f 5983/6355 5942/6352 5938/6961 5977/6960 +f 5942/6352 5952/6346 5948/6962 5938/6961 +f 5952/6346 5962/6349 5958/6963 5948/6962 +f 6500/6964 6561/6965 5969/6364 5959/6339 +f 5974/6366 5970/6369 5960/6341 5964/6340 +f 5964/6340 5958/6345 5968/6370 5974/6366 +f 5972/6359 5992/6358 5988/6966 5968/6967 +f 5992/6358 6002/6378 5998/6968 5988/6966 +f 6127/6969 5998/6968 6002/6378 6131/6515 +f 6117/6970 6127/6969 6131/6515 6121/6503 +f 6121/6503 6101/6502 6097/6971 6117/6970 +f 6104/6496 6100/6499 6090/6471 6094/6470 +f 6505/6972 6504/6973 6116/6504 6126/6516 +f 6504/6973 6511/6974 6096/6505 6116/6504 +f 6556/6975 6557/6870 6099/6494 6089/6469 +f 6093/6464 6089/6469 6099/6494 6103/6493 +f 6103/6493 6097/6507 6087/6465 6093/6464 +f 6496/6556 6497/6976 6085/6478 6075/6477 +f 6495/6557 6496/6556 6075/6477 6065/6483 +f 6553/6977 6495/6557 6065/6483 6108/6486 +f 6106/6448 6105/6451 6040/6424 6064/6423 +f 6064/6423 6035/6447 6107/6484 6106/6448 +f 6035/6814 6051/6404 6113/6485 6107/6818 +f 6510/6978 6509/6979 6016/6425 6036/6433 +f 6508/6980 6509/6979 6015/6391 6018/6390 +f 6545/6981 6544/6982 6012/6430 6005/6429 +f 6544/6982 6543/6983 6032/6435 6012/6430 +f 6484/6802 6543/6983 6031/6415 6049/6414 +f 6531/6803 6484/6802 6049/6414 6030/6417 +f 6530/6984 6531/6803 6030/6417 6062/6416 +f 6530/6984 6529/6985 6033/6445 6061/6419 +f 6529/6985 6512/6801 6022/6437 6033/6445 +f 6512/6801 6499/6800 6021/6438 6022/6437 +f 6498/6986 6492/6987 6023/6440 6024/6439 +f 6483/6823 6492/6987 6027/6408 6040/6424 +f 6111/6452 6110/6455 6036/6433 6052/6434 +f 6051/6404 6037/6405 6108/6486 6113/6485 +f 6510/6978 6036/6433 6110/6455 6553/6977 +f 6482/6824 6481/6988 6069/6481 6109/6487 +f 6481/6988 6523/6989 6079/6468 6069/6481 +f 6523/6989 6556/6975 6089/6469 6079/6468 +f 6091/6460 6087/6827 6097/6971 6101/6502 +f 6101/6502 6096/6505 6086/6461 6091/6460 +f 6497/6976 6086/6461 6096/6505 6511/6974 +f 6558/6871 6557/6870 6100/6499 6120/6498 +f 6506/6990 6558/6871 6120/6498 6130/6513 +f 6478/6991 6479/6992 5893/6310 5894/6309 +f 6528/6927 6479/6992 5897/6278 5910/6294 +f 5921/6274 5907/6275 5978/6356 5983/6355 +f 5981/6322 5980/6325 5906/6303 5922/6304 +f 6159/6579 5906/6303 5980/6325 6534/6914 +f 6546/6573 6547/6572 5939/6351 5979/6357 +f 6547/6572 6548/6993 5949/6338 5939/6351 +f 6548/6993 6500/6964 5959/6339 5949/6338 +f 5958/6963 5962/6349 5972/6359 5968/6967 +f 5962/6349 5955/6348 5965/6360 5972/6359 +f 6507/6561 5956/6331 5966/6375 6503/6912 +f 6560/6994 6561/6965 5970/6369 5990/6368 +f 6559/6995 6560/6994 5990/6368 6000/6383 +f 4989/5410 4953/5448 6174/6873 6178/6888 +f 4988/5413 4948/5414 6181/6889 6178/6888 +f 4788/5273 4769/5264 4766/5271 4785/5284 +f 4791/6996 4772/6997 4771/6998 4790/6999 +f 4752/7000 4771/6998 4772/6997 4753/7001 +f 4747/5247 4766/5271 4769/5264 4750/5253 +f 4728/5235 4747/5247 4750/5253 4731/5228 +f 4709/5207 4728/5235 4731/5228 4712/5217 +f 4733/7002 4752/7000 4753/7001 4734/7003 +f 4714/7004 4733/7002 4734/7003 4715/7005 +f 4690/5198 4709/5207 4712/5217 4693/5191 +f 4695/7006 4714/7004 4715/7005 4696/7007 +f 4696/7007 4677/7008 4676/7009 4695/7006 +f 4671/5171 4690/5198 4693/5191 4674/5181 +f 4652/5160 4671/5171 4674/5181 4655/5153 +f 4657/7010 4676/7009 4677/7008 4658/7011 +f 4658/7011 4639/7012 4638/7013 4657/7010 +f 4633/5129 4652/5160 4655/5153 4636/5144 +f 4614/5124 4633/5129 4636/5144 4617/5117 +f 4595/5109 4614/5124 4617/5117 4598/5107 +f 4639/7012 4620/7014 4619/7015 4638/7013 +f 4620/7014 4601/7016 4600/7017 4619/7015 +f 4601/7016 4582/7018 4581/7019 4600/7017 +f 4582/7018 4563/7020 4562/7021 4581/7019 +f 4563/7020 4544/7022 4543/7023 4562/7021 +f 4576/5088 4595/5109 4598/5107 4579/5081 +f 4557/5073 4576/5088 4579/5081 4560/5071 +f 4538/5048 4557/5073 4560/5071 4541/5031 +f 4541/5031 4522/5030 4519/5049 4538/5048 +f 4544/7022 4525/7024 4524/7025 4543/7023 +f 6748/5017 6749/7026 4476/7027 4477/5018 +f 6750/7028 6749/7026 4495/7029 4498/7030 +f 6750/7028 6751/7031 4478/7032 4479/7033 +f 6751/7031 6752/7034 4488/7035 4478/7032 +f 4443/4967 4462/4987 4465/4980 4446/4970 +f 4417/4855 4443/4967 4446/4970 4424/4946 +f 4409/4856 4417/4855 4424/4946 4420/4943 +f 4355/4929 4409/4856 4420/4943 4412/4940 +f 4351/4905 4355/4929 4412/4940 4383/4918 +f 4350/4908 4351/4905 4383/4918 4379/4916 +f 4363/4906 4350/4908 4379/4916 4372/4912 +f 4372/4912 4371/4915 4348/4907 4363/4906 +f 4448/7036 4467/7037 4468/7038 4449/7039 +f 4426/7040 4448/7036 4449/7039 4427/7041 +f 4427/7041 4423/7042 4422/7043 4426/7040 +f 4423/7042 4415/7044 4414/7045 4422/7043 +f 4415/7044 4386/7046 4385/7047 4414/7045 +f 4381/7048 4385/7047 4386/7046 4382/7049 +f 4376/7050 4381/7048 4382/7049 4378/7051 +f 4378/7051 4377/7052 4375/7053 4376/7050 +f 4971/5432 4951/5431 6179/6886 6180/6887 +f 4910/5374 4950/5409 6179/6886 6177/6885 +f 4907/5375 4910/5374 6177/6885 6175/6884 +f 4931/5420 4915/5419 6173/5450 6176/6883 +f 4926/5427 4917/5429 6172/5451 6171/6880 +f 4924/5385 4920/5363 6186/6879 6171/6880 +f 4920/5363 4901/5362 6184/6134 6186/6879 +f 5782/6143 5772/6136 6185/6135 6183/6876 +f 5792/6165 5782/6143 6183/6876 6182/6875 +f 4901/5362 5773/6155 6185/6135 6184/6134 +f 4915/5419 4916/5391 6172/5451 6173/5450 +f 5842/6169 6486/6901 6485/6804 5025/5494 +f 5842/6169 5807/6168 6487/6900 6486/6901 +f 5910/6294 5975/6321 6546/6573 6528/6927 +f 5920/6306 5902/6305 6564/6918 6563/6919 +f 5803/6172 5813/6186 6514/6905 6515/6560 +f 5813/6186 5823/6185 6513/6574 6514/6905 +f 5047/5484 5019/5514 6537/6902 6536/6770 +f 5807/6168 5817/6196 6488/6662 6487/6900 +f 5869/6248 5858/6230 6541/6664 6542/6899 +f 5019/5514 5011/5481 6538/6571 6537/6902 +f 5896/6283 5898/6282 6480/6924 6552/6923 +f 5940/6320 5950/6342 6548/6993 6547/6572 +f 5907/6275 6159/6579 6534/6914 5978/6356 +f 6034/6444 6026/6413 6512/6801 6529/6985 +f 6020/6426 6016/6425 6509/6979 6508/6980 +f 5995/6379 5985/6361 6502/6911 6501/6910 +f 5890/6296 5886/6295 6493/6578 6494/6917 +f 6008/6399 6011/6398 6544/6982 6545/6981 +f 5999/6381 5989/6365 6560/6994 6559/6995 +f 5895/6279 5897/6278 6479/6992 6478/6991 +f 5980/6325 5936/6324 6533/6913 6534/6914 +f 5955/6348 6507/6561 6503/6912 5965/6360 +f 5931/6289 5899/6290 6550/6921 6562/6920 +f 5985/6361 5965/6360 6503/6912 6502/6911 +f 6062/6416 6034/6444 6529/6985 6530/6984 +f 5900/6287 6550/6921 6563/6919 5919/6284 +f 6105/6451 6070/6450 6481/6988 6482/6824 +f 5932/6286 5904/6314 6551/6922 6562/6920 +f 6037/6405 6015/6391 6509/6979 6510/6978 +f 6129/6511 6119/6495 6558/6871 6506/6990 +f 6070/6450 6080/6472 6523/6989 6481/6988 +f 5909/6316 5893/6310 6479/6992 6528/6927 +f 6080/6472 6090/6471 6556/6975 6523/6989 +f 5904/6314 5896/6283 6552/6923 6551/6922 +f 5950/6342 5960/6341 6500/6964 6548/6993 +f 5989/6365 5969/6364 6561/6965 6560/6994 +f 5960/6341 5970/6369 6561/6965 6500/6964 +f 5881/6268 5901/6285 6564/6918 6565/6563 +f 5936/6324 5946/6332 6532/6562 6533/6913 +f 6076/6462 6086/6461 6497/6976 6496/6556 +f 6110/6455 6066/6454 6495/6557 6553/6977 +f 6025/6409 6027/6408 6492/6987 6498/6986 +f 6090/6471 6100/6499 6557/6870 6556/6975 +f 6037/6405 6510/6978 6553/6977 6108/6486 +f 6125/6509 6115/6491 6504/6973 6505/6972 +f 6040/6424 6105/6451 6482/6824 6483/6823 +f 6115/6491 6095/6490 6511/6974 6504/6973 +f 6061/6419 6029/6420 6531/6803 6530/6984 +f 6660/7054 6702/7055 6137/6535 6664/7056 +f 6011/6398 6031/6415 6543/6983 6544/6982 +f 6039/6446 6023/6440 6492/6987 6483/6823 +f 6085/6478 6497/6976 6511/6974 6095/6490 +f 6050/6436 6032/6435 6543/6983 6484/6802 +f 6139/6796 6147/6795 6549/6799 6554/6798 +f 6700/7057 6703/7058 6702/7055 6660/7054 +f 6002/6378 5995/6379 6126/6516 6131/6515 +f 5872/6245 5864/6246 5996/6386 6001/6385 +f 5799/6164 5792/6165 5865/6256 5871/6255 +f 6704/7059 6705/7060 5798/6161 5794/6163 +f 6707/7061 6708/6528 6193/6627 6196/6625 +f 6705/7060 6709/7062 5793/6162 5798/6161 +f 6710/7063 6709/7062 6250/6704 6188/6701 +f 6710/7063 6711/7064 5792/6165 6182/6875 +f 6711/7064 6712/7065 5865/6256 5792/6165 +f 6713/7066 6712/7065 6202/6690 6201/6689 +f 6713/7066 6714/7067 5864/6246 6525/6568 +f 6715/7068 6714/7067 6190/6686 6189/6685 +f 6715/7068 6716/7069 6501/6910 5996/6386 +f 6717/7070 6716/7069 6200/6682 6199/6681 +f 6717/7070 6718/7071 6126/6516 5995/6379 +f 6718/7071 6719/7072 6505/6972 6126/6516 +f 6719/7072 6720/7073 6125/6509 6505/6972 +f 6721/7074 6706/7075 6197/6909 6265/6908 +f 6723/7076 6704/7059 5794/6163 5800/6156 +f 6723/7076 6724/7077 6288/6806 6252/6805 +f 6725/7078 6724/7077 5796/6157 6170/6894 +f 6725/7078 6726/7079 6282/6809 6281/6808 +f 6726/7079 6727/7080 6283/6837 6282/6809 +f 6728/7081 6722/7082 6267/6907 6268/6906 +f 6729/7083 6728/7081 6268/6906 6266/6869 +f 6729/7083 6730/7084 6129/6511 6506/6990 +f 6731/7085 6730/7084 6287/6868 6286/6840 +f 5870/6253 5999/6381 6559/6995 6542/6899 +f 6732/7086 6731/7085 6286/6840 6285/6839 +f 6733/7087 6732/7086 6285/6839 6284/6838 +f 6733/7087 6727/7080 5869/6248 6542/6899 +f 6607/7088 6608/7089 6579/7090 6576/7091 +f 5033/5497 5005/5496 4990/5499 5026/5502 +f 6615/7092 6618/7093 6567/7094 6570/7095 +f 5002/6942 5033/5497 5026/5502 4991/5458 +f 6603/7096 6605/7097 6572/7098 6569/7099 +f 5043/5464 5002/5467 4991/7100 5042/7101 +f 5042/7101 5006/7102 5009/5509 5043/5464 +f 6619/7103 6616/7104 6574/7105 6578/7106 +f 6612/7107 6607/7088 6576/7091 6598/7108 +f 6490/6553 5009/5509 5006/7102 6489/7109 +f 6617/7110 6621/7111 6588/7112 6586/7113 +f 6489/7109 5013/7114 5010/5477 6490/6553 +f 6620/7115 6614/7116 6589/7117 6587/7118 +f 6605/7097 6610/7119 6592/7120 6572/7098 +f 6620/7115 6623/7121 6591/7122 6571/7123 +f 6622/7124 6615/7092 6570/7095 6590/7125 +f 6616/7104 6624/7126 6599/7127 6574/7105 +f 6621/7111 6625/7128 6601/7129 6588/7112 +f 6577/7130 6581/7131 6609/7132 6606/7133 +f 5041/5474 5010/5477 5013/7114 5038/7134 +f 6566/7135 6573/7136 6604/7137 6602/7138 +f 5038/7134 4992/7139 5004/5511 5041/5474 +f 6597/7140 6577/7130 6606/7133 6613/7141 +f 6573/7136 6593/7142 6611/7143 6604/7137 +f 4992/5513 5027/5460 5032/5453 5004/6941 +f 6583/7144 6582/7145 6618/7093 6615/7092 +f 5027/5460 4993/5463 5003/5454 5032/5453 +f 6585/7146 6584/7147 6616/7104 6619/7103 +f 6477/6575 5003/5454 4993/5463 6517/6810 +f 6580/7148 6575/7149 6621/7111 6617/7110 +f 6517/6810 4990/5499 5005/5496 6477/6575 +f 6571/7123 6568/7150 6614/7116 6620/7115 +f 6587/7118 6595/7151 6623/7121 6620/7115 +f 6594/7152 6583/7144 6615/7092 6622/7124 +f 6584/7147 6600/7153 6624/7126 6616/7104 +f 6575/7149 6596/7154 6625/7128 6621/7111 +f 6667/7155 6635/7156 6631/7157 6666/7158 +f 6672/7159 6632/7160 6627/7161 6671/7162 +f 6675/7163 6634/7164 6628/7165 6673/7166 +f 6652/7167 6647/7168 6637/7169 6642/7170 +f 6654/7171 6648/7172 6638/7173 6644/7174 +f 6644/7174 6640/7175 6650/7176 6654/7171 +f 6655/7177 6651/7178 6641/7179 6645/7180 +f 6645/7180 6639/7181 6649/7182 6655/7177 +f 6643/7183 6636/7184 6646/7185 6653/7186 +f 6635/7156 6629/7187 6639/7181 6645/7180 +f 6645/7180 6641/7179 6631/7157 6635/7156 +f 6634/7164 6630/7188 6640/7175 6644/7174 +f 6644/7174 6638/7173 6628/7165 6634/7164 +f 6642/7170 6637/7169 6627/7161 6632/7160 +f 6633/7189 6626/7190 6636/7184 6643/7183 +f 6635/7156 6667/7155 6668/7191 6629/7187 +f 6633/7189 6674/7192 6669/7193 6626/7190 +f 6634/7164 6675/7163 6670/7194 6630/7188 +f 6627/7161 6637/7169 6682/7195 6681/7196 +f 6175/6884 4904/5423 4931/5420 6176/6883 +f 6587/7118 6589/7117 6685/7197 6690/7198 +f 6590/7125 6611/7143 6679/7199 6694/7200 +f 6610/7119 6605/7097 6571/7123 6591/7122 +f 6568/7150 6571/7123 6605/7097 6603/7096 +f 4969/5421 4931/5420 4904/5423 4956/5426 +f 4928/5379 4969/5421 4956/5426 4905/5370 +f 6608/7089 6607/7088 6575/7201 6580/7202 +f 6596/7203 6575/7201 6607/7088 6612/7107 +f 6599/7204 6673/7205 6672/7159 6613/7141 +f 6674/7192 6633/7189 6629/7206 6668/7207 +f 6633/7189 6643/7183 6639/7208 6629/7206 +f 6643/7183 6653/7186 6649/7209 6639/7208 +f 6653/7186 6646/7185 6656/7210 6663/7211 +f 6604/7137 6611/7143 6590/7125 6570/7095 +f 6602/7138 6604/7137 6570/7095 6567/7094 +f 4982/5376 4928/5379 4905/5370 4981/7212 +f 4981/7212 4933/7213 4939/5435 4982/5376 +f 6578/7214 6574/7215 6606/7133 6609/7132 +f 6613/7141 6606/7133 6574/7215 6599/7204 +f 6675/7163 6673/7166 6599/7127 6624/7126 +f 6624/7126 6600/7153 6670/7194 6675/7163 +f 6678/7216 6677/7217 6670/7194 6600/7153 +f 6673/7205 6628/7218 6632/7160 6672/7159 +f 6628/7218 6638/7219 6642/7170 6632/7160 +f 6638/7219 6648/7220 6652/7167 6642/7170 +f 6653/7186 6663/7211 6659/7221 6649/7209 +f 6655/7177 6649/7182 6659/7222 6665/7223 +f 6665/7223 6661/7224 6651/7178 6655/7177 +f 6699/7225 6700/7057 6660/7054 6650/7176 +f 6654/7171 6650/7176 6660/7054 6664/7056 +f 6664/7056 6658/7226 6648/7172 6654/7171 +f 6682/7195 6683/7227 6646/7185 6636/7184 +f 6681/7196 6682/7195 6636/7184 6626/7190 +f 6698/7228 6681/7196 6626/7190 6669/7193 +f 6667/7155 6666/7158 6601/7129 6625/7128 +f 6625/7128 6596/7154 6668/7191 6667/7155 +f 6596/7203 6612/7107 6674/7192 6668/7207 +f 6688/7229 6687/7230 6577/7130 6597/7140 +f 6686/7231 6687/7230 6576/7091 6579/7090 +f 6162/6893 4939/5435 4933/7213 6161/7232 +f 6161/7232 4947/7233 4942/5403 6162/6893 +f 6697/7234 6696/7235 6573/7136 6566/7135 +f 6696/7235 6695/7236 6593/7142 6573/7136 +f 6679/7199 6695/7236 6592/7120 6610/7119 +f 6694/7200 6679/7199 6610/7119 6591/7122 +f 6693/7237 6694/7200 6591/7122 6623/7121 +f 6693/7237 6692/7238 6594/7152 6622/7124 +f 6692/7238 6690/7198 6583/7144 6594/7152 +f 6690/7198 6685/7197 6582/7145 6583/7144 +f 4980/5400 4942/5403 4947/7233 4973/7239 +f 4973/7239 4906/7240 4930/5445 4980/5400 +f 6684/7241 6680/7242 6584/7147 6585/7146 +f 6678/7216 6680/7242 6588/7112 6601/7129 +f 6672/7159 6671/7162 6597/7140 6613/7141 +f 6612/7107 6598/7108 6669/7193 6674/7192 +f 6688/7229 6597/7140 6671/7162 6698/7228 +f 6677/7217 6676/7243 6630/7188 6670/7194 +f 6676/7243 6691/7244 6640/7175 6630/7188 +f 6691/7244 6699/7225 6650/7176 6640/7175 +f 6652/7167 6648/7220 6658/7245 6662/7246 +f 6662/7246 6657/7247 6647/7168 6652/7167 +f 6683/7227 6647/7168 6657/7247 6689/7248 +f 6595/7151 6587/7118 6690/7198 6692/7238 +f 6581/7131 6577/7130 6687/7230 6686/7231 +f 6569/7099 6572/7098 6696/7235 6697/7234 +f 6623/7121 6595/7151 6692/7238 6693/7237 +f 6666/7158 6631/7157 6676/7243 6677/7217 +f 6598/7108 6576/7091 6687/7230 6688/7229 +f 6631/7157 6641/7179 6691/7244 6676/7243 +f 6641/7179 6651/7178 6699/7225 6691/7244 +f 6637/7169 6647/7168 6683/7227 6682/7195 +f 6671/7162 6627/7161 6681/7196 6698/7228 +f 6586/7113 6588/7112 6680/7242 6684/7241 +f 6651/7178 6661/7224 6700/7057 6699/7225 +f 6598/7108 6688/7229 6698/7228 6669/7193 +f 6601/7129 6666/7158 6677/7217 6678/7216 +f 6622/7124 6590/7125 6694/7200 6693/7237 +f 4906/5447 4957/5372 4968/5365 4930/6956 +f 4957/5372 4907/5375 4929/5366 4968/5365 +f 6572/7098 6592/7120 6695/7236 6696/7235 +f 6176/6883 4929/5366 4907/5375 6175/6884 +f 6600/7153 6584/7147 6680/7242 6678/7216 +f 6646/7185 6683/7227 6689/7248 6656/7210 +f 6611/7143 6593/7142 6695/7236 6679/7199 +f 6689/7248 6657/7247 6139/6796 6554/6798 +f 6554/6798 6140/6518 6656/7210 6689/7248 +f 6657/7247 6662/7246 6135/6544 6139/6796 +f 6141/6541 6135/6544 6662/7246 6658/7245 +f 6658/7226 6664/7056 6137/6535 6141/6534 +f 6140/6518 6136/6521 6663/7211 6656/7210 +f 6659/7221 6663/7211 6136/6521 6142/6540 +f 6142/6537 6138/6531 6665/7223 6659/7222 +f 6661/7224 6665/7223 6138/6531 6555/6530 +f 6549/6799 6701/6526 6156/6522 6148/6519 +f 6147/6795 6155/6797 6701/6526 6549/6799 +f 6734/7249 6720/7073 6198/6655 6195/6653 +f 6735/6527 6734/7249 6195/6653 6194/6651 +f 6708/6528 6735/6527 6194/6651 6193/6627 +f 6703/7058 6700/7057 6661/7224 6555/6530 +f 6555/6530 6137/6535 6702/7055 6703/7058 +f 6145/6536 6137/6535 6555/6530 6522/6529 +f 6155/6797 6734/7249 6735/6527 6701/6526 +f 6722/7082 6721/7074 6265/6908 6267/6907 +f 6253/6793 6251/6783 6705/7060 6704/7059 +f 6251/6783 6250/6704 6709/7062 6705/7060 +f 6182/6875 5793/6162 6709/7062 6710/7063 +f 6188/6701 6187/6700 6711/7064 6710/7063 +f 6187/6700 6202/6690 6712/7065 6711/7064 +f 6525/6568 5865/6256 6712/7065 6713/7066 +f 6201/6689 6190/6686 6714/7067 6713/7066 +f 5996/6386 5864/6246 6714/7067 6715/7068 +f 6189/6685 6200/6682 6716/7069 6715/7068 +f 5995/6379 6501/6910 6716/7069 6717/7070 +f 6199/6681 6192/6678 6718/7071 6717/7070 +f 6192/6678 6191/6668 6719/7072 6718/7071 +f 6191/6668 6198/6655 6720/7073 6719/7072 +f 6196/6625 6197/6624 6706/7250 6707/7061 +f 6252/6805 6253/6793 6704/7059 6723/7076 +f 5800/6156 5796/6157 6724/7077 6723/7076 +f 6281/6808 6288/6806 6724/7077 6725/7078 +f 6170/6894 5797/6159 6726/7079 6725/7078 +f 5797/6159 5869/6248 6727/7080 6726/7079 +f 6153/6546 6521/7251 6130/6513 6134/6512 +f 6506/6990 6130/6513 6728/7081 6729/7083 +f 6266/6869 6287/6868 6730/7084 6729/7083 +f 6000/6383 6129/6511 6730/7084 6731/7085 +f 6559/6995 6000/6383 6731/7085 6732/7086 +f 6542/6899 6559/6995 6732/7086 6733/7087 +f 6284/6838 6283/6837 6727/7080 6733/7087 +f 6132/6508 6125/6509 6155/6797 6151/6551 +f 6734/7249 6155/6797 6125/6509 6720/7073 +f 6152/6523 6156/6522 6708/6528 6707/7061 +f 6158/6549 6152/6523 6707/7061 6706/7250 +f 6706/7075 6721/7074 6154/6548 6158/6547 +f 6153/6546 6145/6536 6522/6529 6521/7251 +f 6146/6532 6154/6548 6521/7251 6522/6529 +f 6130/6513 6521/7251 6722/7082 6728/7081 +f 6521/7251 6154/6548 6721/7074 6722/7082 +f 6456/6854 6464/6867 6736/7252 6463/6861 +f 6461/6850 6474/6866 6473/6864 6457/6851 +f 6470/6862 6463/6861 6736/7252 6473/6864 +f 6457/6851 6473/6864 6736/7252 6464/6867 +f 6307/6703 6306/6698 6309/5473 6310/5490 +f 6306/6698 6305/6577 6308/5470 6309/5473 +f 6305/6577 6351/6576 6345/6250 6308/5470 +f 6351/6576 6352/6666 6348/5297 6345/6250 +f 6352/6666 6353/6665 6347/5294 6348/5297 +f 6344/6830 6347/5294 6353/6665 6350/6727 +f 6346/6831 6344/6830 6350/6727 6349/6730 +f 6375/6832 6346/6831 6349/6730 6388/6761 +f 6388/6753 6366/6735 6368/6835 6375/6834 +f 6366/6735 4839/5345 4837/6737 6368/6835 +f 4839/5345 4821/5344 4819/6738 4837/6737 +f 6417/5338 6418/5337 4836/6794 4818/7253 +f 6414/5269 6415/5280 4790/7254 4771/7255 +f 4793/5286 4774/5254 4772/6997 4791/6996 +f 4774/5254 4755/5249 4753/7001 4772/6997 +f 6413/5242 6414/5269 4771/7255 4752/7256 +f 6412/5233 6413/5242 4752/7256 4733/7257 +f 4755/5249 4736/5218 4734/7003 4753/7001 +f 4736/5218 4717/5211 4715/7005 4734/7003 +f 4717/5211 4698/5199 4696/7007 4715/7005 +f 4677/7008 4696/7007 4698/5199 4679/5175 +f 4679/5175 4660/5162 4658/7011 4677/7008 +f 4639/7012 4658/7011 4660/5162 4641/5136 +f 4641/5136 4622/5126 4620/7014 4639/7012 +f 4622/5126 4603/5098 4601/7016 4620/7014 +f 4603/5098 4584/5090 4582/7018 4601/7016 +f 4563/7020 4582/7018 4584/5090 4565/5062 +f 4565/5062 4546/5053 4544/7022 4563/7020 +f 4546/5053 4527/5052 4525/7024 4544/7022 +f 6753/7258 6752/7034 4507/7259 4502/7260 +f 6753/7258 6754/7261 4482/7262 4483/7263 +f 4464/4983 4469/4984 4488/7035 4483/7263 +f 4483/7263 4482/7262 4463/4982 4464/4983 +f 4449/7039 4468/7038 4470/4988 4451/4959 +f 4451/4959 4432/4952 4427/7041 4449/7039 +f 4423/7042 4427/7041 4432/4952 4431/4951 +f 4415/7044 4423/7042 4431/4951 4428/4950 +f 4428/4950 4265/4799 4386/7046 4415/7044 +f 4382/7049 4386/7046 4265/4799 4266/4798 +f 4378/7051 4382/7049 4266/4798 4267/4800 +f 4377/7052 4378/7051 4267/4800 4268/4801 +f 4376/7264 4375/7265 6432/6778 6391/6777 +f 6391/6777 6336/6779 4381/7266 4376/7264 +f 6336/6779 6393/4938 4385/7267 4381/7266 +f 4414/7268 4385/7267 6393/4938 6394/4937 +f 4422/7269 4414/7268 6394/4937 6395/4944 +f 4426/7270 4422/7269 6395/4944 6396/4947 +f 6396/4947 6397/4953 4448/7271 4426/7270 +f 6397/4953 6398/4985 4467/7272 4448/7271 +f 4461/4975 4463/4982 4482/7262 4480/7273 +f 4454/4974 4461/4975 4480/7273 4473/4992 +f 6755/7274 6754/7261 4501/7275 4499/7276 +f 6756/4989 6755/7274 4499/7276 4492/7277 +f 6401/5043 6402/5042 4543/7278 4524/7279 +f 4562/7280 4543/7278 6402/5042 6403/5072 +f 6403/5072 6404/5086 4581/7281 4562/7280 +f 4600/7282 4581/7281 6404/5086 6405/5108 +f 6405/5108 6406/5122 4619/7283 4600/7282 +f 4638/7284 4619/7283 6406/5122 6407/5145 +f 6407/5145 6408/5158 4657/7285 4638/7284 +f 6408/5158 6409/5166 4676/7286 4657/7285 +f 6409/5166 6410/5196 4695/7287 4676/7286 +f 6410/5196 6411/5202 4714/7288 4695/7287 +f 6411/5202 6412/5233 4733/7257 4714/7288 +f 6524/6564 5875/6299 5890/6296 6494/6917 +f 6494/6917 5888/6260 5878/6269 6524/6564 +f 5912/6266 5878/6269 5888/6260 5917/6259 +f 5918/6297 5890/6296 5875/6299 5911/6302 +f 5887/6925 5918/6297 5911/6302 5876/6264 +f 5928/6270 5887/6273 5876/7289 5927/7290 +f 5927/7290 5891/7291 5894/6309 5928/6270 +f 6478/6991 5894/6309 5891/7291 6480/7292 +f 6480/7292 5898/7293 5895/6279 6478/6991 +f 5926/6276 5895/6279 5898/7293 5923/7294 +f 5923/7294 5877/7295 5889/6311 5926/6276 +f 5877/6313 5912/6266 5917/6259 5889/6958 +f 6545/6981 6005/6429 6020/6426 6508/6980 +f 6508/6980 6018/6390 6008/6399 6545/6981 +f 6042/6396 6008/6399 6018/6390 6047/6389 +f 6007/6443 6042/6396 6047/6389 6019/6813 +f 6053/7296 6007/7297 6019/6441 6056/6406 +f 6056/6406 6025/6409 6028/7298 6053/7296 +f 6499/7299 6028/7298 6025/6409 6498/6986 +f 6498/6986 6024/6439 6021/7300 6499/7299 +f 6057/7301 6021/7300 6024/6439 6058/6400 +f 6058/6400 6017/6403 6006/7302 6057/7301 +f 6017/6821 6048/6427 6041/6432 6006/6394 +f 6048/6427 6020/6426 6005/6429 6041/6432 +f 6609/7132 6581/7131 6566/7135 6602/7138 +f 6578/7214 6609/7132 6602/7138 6567/7094 +f 6619/7103 6578/7106 6567/7303 6618/7304 +f 6618/7304 6582/7305 6585/7146 6619/7103 +f 6684/7241 6585/7146 6582/7305 6685/7306 +f 6685/7306 6589/7307 6586/7113 6684/7241 +f 6617/7110 6586/7113 6589/7307 6614/7308 +f 6614/7308 6568/7309 6580/7148 6617/7110 +f 6568/7150 6603/7096 6608/7089 6580/7202 +f 6603/7096 6569/7099 6579/7090 6608/7089 +f 6686/7231 6579/7090 6569/7099 6697/7234 +f 6697/7234 6566/7135 6581/7131 6686/7231 +f 4478/7032 4488/7035 4469/4984 4459/4981 +f 4479/7033 4478/7032 4459/4981 4460/4976 +f 4460/4976 4457/4977 4476/7027 4479/7033 +f 4477/5018 4476/7027 4457/4977 4458/4986 +f 4474/5019 4477/5018 4458/4986 4455/4973 +f 4455/4973 4456/4972 4475/5013 4474/5019 +f 4471/5011 4475/5013 4456/4972 4452/4971 +f 4472/5009 4471/5011 4452/4971 4453/4978 +f 4489/5007 4472/5009 4453/4978 4470/4988 +f 4470/4988 4468/7038 4487/5003 4489/5007 +f 4486/5004 4487/5003 4468/7038 4467/7037 +f 4467/7272 6398/4985 6399/7310 4486/7311 +f 6398/4985 4466/4979 4485/7312 6399/7310 +f 4466/4979 4465/4980 4484/4994 4485/7312 +f 4481/4991 4484/4994 4465/4980 4462/4987 +f 4473/4992 4481/4991 4462/4987 4454/4974 +f 4492/7277 4499/7276 4518/5035 4511/5046 +f 4499/7276 4501/7275 4520/5036 4518/5035 +f 4521/5039 4520/5036 4501/7275 4502/7260 +f 4502/7260 4507/7259 4526/5040 4521/5039 +f 4516/5033 4526/5040 4507/7259 4497/7313 +f 4517/5021 4516/5033 4497/7313 4498/7030 +f 4498/7030 4495/7029 4514/5022 4517/5021 +f 4515/5044 4514/5022 4495/7029 4496/7314 +f 4512/5050 4515/5044 4496/7314 4493/5016 +f 4493/5016 4494/5015 4513/5055 4512/5050 +f 4509/5027 4513/5055 4494/5015 4490/7315 +f 4510/5024 4509/5027 4490/7315 4491/7316 +f 4527/5052 4510/5024 4491/7316 4508/7317 +f 4525/7024 4527/5052 4508/7317 4506/7318 +f 4506/7318 4505/7319 4524/7025 4525/7024 +f 4505/5000 6400/4999 6401/5043 4524/7279 +f 6400/4999 4504/4997 4523/5029 6401/5043 +f 4504/4997 4503/4996 4522/5030 4523/5029 +f 4519/5049 4522/5030 4503/4996 4500/7320 +f 4511/5046 4519/5049 4500/7320 4492/7277 +f 4492/7277 4500/7320 6737/4990 6756/4989 +f 4503/4996 6738/4993 6737/4990 4500/7320 +f 4485/7312 4484/4994 6738/4993 6739/4995 +f 6399/7310 4485/7312 6739/4995 6740/4998 +f 6399/7310 6740/4998 6741/5001 4486/7311 +f 4506/7318 6742/5002 6741/5005 4505/7319 +f 4508/7317 6743/5006 6742/5002 4506/7318 +f 4508/7317 4491/7316 6744/5008 6743/5006 +f 4491/7316 4490/7315 6745/5010 6744/5008 +f 4490/7315 4494/5015 6746/5012 6745/5010 +f 4474/5019 4475/5013 6746/5012 6747/5014 +f 4493/5016 4496/7314 6748/5017 6747/5014 +f 4496/7314 4495/7029 6749/7026 6748/5017 +f 4479/7033 4476/7027 6749/7026 6750/7028 +f 4498/7030 4497/7313 6751/7031 6750/7028 +f 4497/7313 4507/7259 6752/7034 6751/7031 +f 4483/7263 4488/7035 6752/7034 6753/7258 +f 4502/7260 4501/7275 6754/7261 6753/7258 +f 4480/7273 4482/7262 6754/7261 6755/7274 +f 4473/4992 4480/7273 6755/7274 6756/4989 +f 1/2 6758/1191 6757/1194 2/3 +f 1061/1280 6760/1195 6759/1198 1062/1248 +f 1060/1272 6761/1199 6760/1195 1061/1280 +f 1059/1262 6762/1201 6761/1199 1060/1272 +f 1058/1252 6763/1203 6762/1201 1059/1262 +f 1074/1285 6764/1205 6757/1194 1057/1193 +f 1080/1288 6766/1206 6765/1207 1079/1283 +f 103/69 6769/1208 6768/1211 64/76 +f 1079/1283 6765/1207 6770/1212 1078/1275 +f 5103/1267 6783/1213 6767/1216 1073/1268 +f 1078/1275 6770/1212 6768/1211 1077/1210 +f 1071/1241 6773/1217 6772/1220 1072/1258 +f 1081/1209 6769/1208 6774/1221 1076/1255 +f 1070/1240 6775/1222 6773/1217 1071/1241 +f 1076/1255 6774/1221 6776/1224 1075/1256 +f 1075/1256 6776/1224 6764/1205 1074/1285 +f 1067/1244 6779/1225 6778/1228 1068/1245 +f 5102/1277 6784/1229 6771/1232 1066/1278 +f 1064/1260 6781/1233 6780/1236 1065/1270 +f 1056/1192 6758/1191 6763/1203 1058/1252 +f 1063/1249 6782/1237 6781/1233 1064/1260 +f 1062/1248 6759/1198 6782/1237 1063/1249 +f 34/1226 6779/1225 6771/1232 31/1231 +f 1072/1258 6772/1220 6783/1213 5103/1267 +f 1065/1270 6780/1236 6784/1229 5102/1277 +f 42/5745 6777/5744 6778/1228 37/1227 +f 45/1223 6775/1222 6777/5744 42/5745 +f 73/85 6766/1206 6767/1216 54/1215 +f 11467/7321 11466/7322 6786/7323 6785/7324 +f 6789/7325 6790/7326 6788/7327 6787/7328 +f 11468/7329 6792/7330 6787/7328 11467/7321 +f 6792/7330 6793/7331 6789/7325 6787/7328 +f 6795/7332 6796/7333 6793/7331 6792/7330 +f 11469/7334 6795/7332 6792/7330 11468/7329 +f 6798/7335 6799/7336 6796/7333 6795/7332 +f 11470/7337 6798/7335 6795/7332 11469/7334 +f 6801/7338 6802/7339 6799/7336 6798/7335 +f 11471/7340 6801/7338 6798/7335 11470/7337 +f 6804/7341 6805/7342 6802/7339 6801/7338 +f 11472/7343 6804/7341 6801/7338 11471/7340 +f 6807/7344 6808/7345 6805/7342 6804/7341 +f 11473/7346 6807/7344 6804/7341 11472/7343 +f 6810/7347 6811/7348 6808/7345 6807/7344 +f 11474/7349 6810/7347 6807/7344 11473/7346 +f 6813/7350 6814/7351 6811/7348 6810/7347 +f 11475/7352 6813/7350 6810/7347 11474/7349 +f 11693/7353 11692/7354 6814/7351 6813/7350 +f 11743/7355 11693/7353 6813/7350 11475/7352 +f 6822/7356 6823/7357 6820/7358 6819/7359 +f 11478/7360 6822/7356 6819/7359 11477/7361 +f 11481/7362 6831/7363 6828/7364 11480/7365 +f 6831/7363 6830/7366 6827/7367 6828/7364 +f 11482/7368 6834/7369 6831/7363 11481/7362 +f 6834/7369 6833/7370 6830/7366 6831/7363 +f 11744/7371 11695/7372 6834/7369 11482/7368 +f 11695/7372 11697/7373 6833/7370 6834/7369 +f 11484/7374 6839/7375 6786/7323 11466/7322 +f 6841/7376 6840/7377 6788/7327 6790/7326 +f 6844/7378 6843/7379 6840/7377 6841/7376 +f 11485/7380 6842/7381 6839/7375 11484/7374 +f 6847/7382 6846/7383 6843/7379 6844/7378 +f 11486/7384 6845/7385 6842/7381 11485/7380 +f 6886/7386 6885/7387 6846/7383 6847/7382 +f 11491/7388 6887/7389 6845/7385 11486/7384 +f 6853/7390 6852/7391 6849/7392 6850/7393 +f 11488/7394 6851/7395 6848/7396 11487/7397 +f 6856/7398 6855/7399 6852/7391 6853/7390 +f 11489/7400 6854/7401 6851/7395 11488/7394 +f 6859/7402 6858/7403 6855/7399 6856/7398 +f 11490/7404 6857/7405 6854/7401 11489/7400 +f 11504/7406 11509/7407 6820/7358 6823/7357 +f 11746/7408 11508/7409 6833/7370 11697/7373 +f 11508/7409 11506/7410 6830/7366 6833/7370 +f 11506/7410 6864/7411 6863/7412 11505/7413 +f 11745/7414 11502/7415 6814/7351 11692/7354 +f 11502/7415 11500/7416 6811/7348 6814/7351 +f 11500/7416 11499/7417 6808/7345 6811/7348 +f 11499/7417 11498/7418 6805/7342 6808/7345 +f 11498/7418 11497/7419 6802/7339 6805/7342 +f 11497/7419 11496/7420 6799/7336 6802/7339 +f 11517/7421 11495/7422 6793/7331 6796/7333 +f 11515/7423 11516/7424 6790/7326 6789/7325 +f 11516/7424 11514/7425 6841/7376 6790/7326 +f 11495/7422 11515/7423 6789/7325 6793/7331 +f 11493/7426 11494/7427 6847/7382 6844/7378 +f 11514/7425 11493/7426 6844/7378 6841/7376 +f 11496/7420 6867/7428 6877/7429 11517/7421 +f 11512/7430 11513/7431 6853/7390 6850/7393 +f 11513/7431 11511/7432 6856/7398 6853/7390 +f 11511/7432 11492/7433 6859/7402 6856/7398 +f 11510/7434 6888/7435 6881/7436 11512/7430 +f 6850/7393 6849/7392 6885/7387 6886/7386 +f 11487/7397 6848/7396 6887/7389 11491/7388 +f 11494/7427 6880/7437 6888/7435 11510/7434 +f 6893/7438 6889/7439 6881/7436 6888/7435 +f 6889/7439 6890/7440 6882/7441 6881/7436 +f 6890/7440 6891/7442 6883/7443 6882/7441 +f 6891/7442 6892/7444 6884/7445 6883/7443 +f 6903/7446 6899/7447 6894/7448 6898/7449 +f 6900/7450 6901/7451 6896/7452 6895/7453 +f 6901/7451 6902/7454 6897/7455 6896/7452 +f 6899/7447 6900/7450 6895/7453 6894/7448 +f 6909/7456 6905/7457 6899/7447 6903/7446 +f 6905/7457 6906/7458 6900/7450 6899/7447 +f 6906/7458 6907/7459 6901/7451 6900/7450 +f 6907/7459 6908/7460 6902/7454 6901/7451 +f 6915/7461 6911/7462 6905/7457 6909/7456 +f 6904/7463 6908/7460 6914/7464 6910/7465 +f 6911/7462 6912/7466 6906/7458 6905/7457 +f 6912/7466 6913/7467 6907/7459 6906/7458 +f 6913/7467 6914/7464 6908/7460 6907/7459 +f 137/148 133/149 6911/7462 6915/7461 +f 6910/7465 6914/7464 136/151 132/150 +f 133/149 134/152 6912/7466 6911/7462 +f 134/152 135/153 6913/7467 6912/7466 +f 135/153 136/151 6914/7464 6913/7467 +f 6863/7412 6864/7411 6920/7468 6919/7469 +f 6921/7470 6920/7468 6864/7411 6865/7471 +f 11700/7472 6921/7470 6865/7471 11698/7473 +f 6917/7474 6916/7475 6860/7476 6861/7477 +f 6926/7478 6925/7479 6869/7480 6870/7481 +f 6928/7482 6927/7483 6871/7484 6872/7485 +f 6925/7479 6924/7486 6868/7487 6869/7480 +f 6927/7483 6926/7478 6870/7481 6871/7484 +f 6924/7486 6923/7488 6867/7428 6868/7487 +f 6933/7489 6932/7490 6876/7491 6877/7429 +f 6934/7492 6935/7493 6879/7494 6878/7495 +f 6932/7490 6930/7496 6874/7497 6876/7491 +f 6931/7498 6934/7492 6878/7495 6875/7499 +f 6935/7493 6936/7500 6880/7437 6879/7494 +f 6930/7496 6931/7498 6875/7499 6874/7497 +f 6893/7438 6888/7435 6880/7437 6936/7500 +f 6867/7428 6923/7488 6933/7489 6877/7429 +f 6898/7449 6943/7501 6944/7502 6903/7446 +f 6903/7446 6944/7502 6945/7503 6909/7456 +f 6909/7456 6945/7503 6946/7504 6915/7461 +f 6915/7461 6946/7504 170/191 137/148 +f 6957/7505 6958/7506 6952/7507 6951/7508 +f 6954/7509 6957/7505 6951/7508 6948/7510 +f 6955/7511 6953/7512 6947/7513 6949/7514 +f 6956/7515 6955/7511 6949/7514 6950/7516 +f 6953/7512 6954/7509 6948/7510 6947/7513 +f 6943/7501 6952/7507 6958/7506 6944/7502 +f 6971/7517 6970/7518 6962/7519 6963/7520 +f 6970/7518 6965/7521 6937/7522 6962/7519 +f 6972/7523 6971/7517 6963/7520 6964/7524 +f 6965/7521 6966/7525 6938/7526 6937/7522 +f 6966/7525 6967/7527 6939/7528 6938/7526 +f 6950/7516 6939/7528 6967/7527 6956/7515 +f 6983/7529 6982/7530 6955/7511 6956/7515 +f 6956/7515 6967/7527 6988/7531 6983/7529 +f 6981/7532 6984/7533 6957/7505 6954/7509 +f 6984/7533 6985/7534 6958/7506 6957/7505 +f 6992/7535 6991/7536 6970/7518 6971/7517 +f 6991/7536 6986/7537 6965/7521 6970/7518 +f 6993/7538 6992/7535 6971/7517 6972/7523 +f 6986/7537 6987/7539 6966/7525 6965/7521 +f 6980/7540 6981/7532 6954/7509 6953/7512 +f 11705/7541 6993/7538 6972/7523 11703/7542 +f 6987/7539 6988/7531 6967/7527 6966/7525 +f 6982/7530 6980/7540 6953/7512 6955/7511 +f 6944/7502 6958/7506 6985/7534 6945/7503 +f 6945/7503 6985/7534 6996/7543 6946/7504 +f 6946/7504 6996/7543 221/231 170/191 +f 7000/7544 6999/7545 6982/7530 6983/7529 +f 6999/7545 6997/7546 6980/7540 6982/7530 +f 6997/7546 6998/7547 6981/7532 6980/7540 +f 7007/7548 7008/7549 7002/7550 6984/7533 +f 7003/7551 7004/7552 6998/7547 6997/7546 +f 6984/7533 7002/7550 6996/7543 6985/7534 +f 7006/7553 7005/7554 6999/7545 7000/7544 +f 7008/7549 235/244 228/237 7002/7550 +f 7005/7554 7003/7551 6997/7546 6999/7545 +f 7009/7555 7010/7556 7008/7549 7007/7548 +f 7010/7556 238/247 235/244 7008/7549 +f 11840/7557 11839/7558 7013/7559 7014/7560 +f 11839/7558 11841/7561 7011/7562 7013/7559 +f 11841/7561 11842/7563 7012/7564 7011/7562 +f 7028/7565 7027/7566 6992/7535 6993/7538 +f 7026/7567 7023/7568 6986/7537 6991/7536 +f 7027/7566 7026/7567 6991/7536 6992/7535 +f 7024/7569 7025/7570 6988/7531 6987/7539 +f 11707/7571 7028/7565 6993/7538 11705/7541 +f 7023/7568 7024/7569 6987/7539 6986/7537 +f 7031/7572 7032/7573 7025/7570 7024/7569 +f 7030/7574 7031/7572 7024/7569 7023/7568 +f 7033/7575 7030/7574 7023/7568 7026/7567 +f 7000/7544 6983/7529 6988/7531 7025/7570 +f 7000/7544 7025/7570 7032/7573 7006/7553 +f 11843/7576 11844/7577 7036/7578 7035/7579 +f 11840/7557 11844/7577 7042/7580 7020/7581 +f 11804/7582 11812/7583 7036/7578 7014/7560 +f 11849/7584 7577/7585 7041/7586 11843/7576 +f 7585/7587 7584/7588 7667/7589 7668/7590 +f 295/282 7062/7591 7602/7592 5135/283 +f 7050/7593 7051/7594 7049/7595 7048/7596 +f 11710/7597 11709/7598 7051/7594 7050/7593 +f 6975/7599 7049/7595 7051/7594 6978/7600 +f 11709/7598 11704/7601 6978/7600 7051/7594 +f 7059/7602 7060/7603 7602/7592 11687/7604 +f 292/298 7060/7603 6977/7605 202/299 +f 6977/7605 7060/7603 7059/7602 6976/7606 +f 11687/7604 7602/7592 7062/7591 7061/7607 +f 5135/283 7602/7592 7060/7603 292/298 +f 6974/7608 7053/7609 11686/7610 6979/7611 +f 6976/7606 7059/7602 7049/7595 6975/7599 +f 7044/7612 7045/7613 7066/7614 7065/7615 +f 7099/7616 7082/7617 7081/7618 7100/7619 +f 7067/7620 7068/7621 7072/7622 7071/7623 +f 7065/7615 7066/7614 7070/7624 7069/7625 +f 308/321 7072/7622 7068/7621 303/322 +f 7071/7623 7072/7622 7076/7626 7075/7627 +f 7069/7625 7070/7624 7074/7628 7073/7629 +f 313/327 7076/7626 7072/7622 308/321 +f 7075/7627 7076/7626 7080/7630 7079/7631 +f 7073/7629 7074/7628 7078/7632 7077/7633 +f 318/332 7080/7630 7076/7626 313/327 +f 7096/7634 7055/7635 7121/7636 7122/7637 +f 7056/7638 7083/7639 7097/7640 7096/7634 +f 7126/7641 7125/7642 7044/7612 7090/7643 +f 7087/7644 7086/7645 7085/7646 7084/7647 +f 7088/7648 7089/7649 7086/7645 7087/7644 +f 7065/7615 7091/7650 7090/7643 7044/7612 +f 7069/7625 7092/7651 7091/7650 7065/7615 +f 7073/7629 7093/7652 7092/7651 7069/7625 +f 7077/7633 7094/7653 7093/7652 7073/7629 +f 7055/7635 7095/7654 7094/7653 7077/7633 +f 7096/7634 7097/7640 7095/7654 7055/7635 +f 7056/7638 7089/7649 7088/7648 7083/7639 +f 7081/7618 7082/7617 7086/7645 7089/7649 +f 7082/7617 7057/7655 7085/7646 7086/7645 +f 5055/355 298/358 7064/7656 11671/7657 +f 7125/7642 7085/7646 7057/7655 7128/7658 +f 7047/7659 7101/7660 7050/7593 7048/7596 +f 11710/7597 11712/7661 7102/7662 7052/7663 +f 7052/7663 7102/7662 7103/7664 7054/7665 +f 7120/7666 7081/7618 7089/7649 7056/7638 +f 11684/7667 11685/7668 11763/7669 11762/7670 +f 7079/7631 7080/7630 7105/7671 7104/7672 +f 344/374 7105/7671 7080/7630 318/332 +f 7083/7639 7088/7648 7109/7673 7106/7674 +f 7106/7674 7116/7675 7097/7640 7083/7639 +f 7093/7652 7094/7653 7114/7676 7113/7677 +f 7090/7643 7091/7650 7111/7678 7110/7679 +f 7108/7680 7109/7673 7088/7648 7087/7644 +f 7091/7650 7092/7651 7112/7681 7111/7678 +f 7126/7641 7090/7643 7110/7679 7127/7682 +f 7094/7653 7095/7654 7115/7683 7114/7676 +f 7107/7684 7108/7680 7087/7644 7084/7647 +f 7116/7675 7115/7683 7095/7654 7097/7640 +f 7092/7651 7093/7652 7113/7677 7112/7681 +f 5073/387 11688/7685 7105/7671 344/374 +f 7138/7686 7124/7687 7129/7688 7139/7689 +f 7166/7690 7167/7691 7131/7692 7132/7693 +f 7055/7635 7077/7633 7078/7632 7121/7636 +f 7122/7637 7120/7666 7056/7638 7096/7634 +f 7084/7647 7085/7646 7125/7642 7126/7641 +f 7044/7612 7125/7642 7128/7658 7045/7613 +f 7084/7647 7126/7641 7127/7682 7107/7684 +f 7165/7694 7166/7690 7132/7693 7134/7695 +f 456/399 7215/7696 7119/7697 363/400 +f 5343/403 11946/7698 11688/7685 5073/387 +f 7114/7676 7115/7683 7151/7699 7150/7700 +f 7144/7701 7145/7702 7109/7673 7108/7680 +f 7152/7703 7151/7699 7115/7683 7116/7675 +f 7106/7674 7109/7673 7145/7702 7142/7704 +f 7110/7679 7111/7678 7147/7705 7146/7706 +f 7111/7678 7112/7681 7148/7707 7147/7705 +f 7142/7704 7152/7703 7116/7675 7106/7674 +f 7153/7708 7143/7709 7107/7684 7127/7682 +f 7112/7681 7113/7677 7149/7710 7148/7707 +f 7127/7682 7110/7679 7146/7706 7153/7708 +f 7113/7677 7114/7676 7150/7700 7149/7710 +f 7143/7709 7144/7701 7108/7680 7107/7684 +f 7156/7711 7154/7712 7143/7709 7153/7708 +f 7154/7712 7155/7713 7144/7701 7143/7709 +f 7159/7714 7157/7715 7154/7712 7156/7711 +f 7157/7715 7158/7716 7155/7713 7154/7712 +f 7156/7711 7153/7708 7146/7706 7147/7705 +f 7144/7701 7155/7713 7142/7704 7145/7702 +f 7142/7704 7155/7713 7158/7716 7152/7703 +f 7158/7716 7150/7700 7151/7699 7152/7703 +f 7157/7715 7149/7710 7150/7700 7158/7716 +f 7159/7714 7148/7707 7149/7710 7157/7715 +f 7156/7711 7147/7705 7148/7707 7159/7714 +f 7134/7695 7132/7693 7161/7717 7160/7718 +f 7132/7693 7131/7692 7162/7719 7161/7717 +f 7124/7687 7169/7720 7168/7721 7129/7688 +f 11947/7722 11690/7723 11688/7685 11946/7698 +f 7169/7720 7172/7724 7174/7725 7173/7726 +f 7173/7726 7174/7725 7176/7727 7175/7728 +f 7248/7729 7247/7730 7178/7731 7177/7732 +f 7177/7732 7178/7731 7180/7733 7179/7734 +f 7179/7734 7180/7733 7182/7735 7181/7736 +f 7186/7737 7187/7738 7184/7739 7183/7740 +f 7250/7741 7251/7742 7187/7738 7186/7737 +f 7192/7743 7193/7744 7190/7745 7189/7746 +f 7195/7747 7196/7748 7193/7744 7192/7743 +f 7200/7749 7201/7750 7202/7751 7203/7752 +f 7207/7753 7198/7754 7205/7755 7206/7756 +f 7185/7757 7168/7721 7169/7720 7173/7726 +f 7175/7728 7188/7758 7185/7757 7173/7726 +f 7248/7729 7249/7759 7188/7758 7175/7728 +f 7179/7734 7194/7760 7191/7761 7177/7732 +f 7181/7736 7197/7762 7194/7760 7179/7734 +f 7130/7763 7163/7764 7164/7765 7123/7766 +f 7252/7767 7200/7749 7203/7752 7253/7768 +f 7198/7754 7199/7769 7204/7770 7205/7755 +f 7165/7694 7202/7751 7201/7750 7166/7690 +f 7118/7771 7211/7772 7216/7773 7117/7774 +f 11954/7775 11955/7776 7209/7777 7208/7778 +f 11964/7779 11956/7780 7210/7781 7254/7782 +f 11948/7783 11949/7784 11689/7785 11753/7786 +f 11967/7787 11957/7788 7171/7789 11944/7790 +f 7256/7791 7219/7792 7214/7793 7255/7794 +f 7217/7795 7218/7796 7213/7797 7212/7798 +f 7257/7799 7222/7800 7219/7792 7256/7791 +f 7220/7801 7221/7802 7218/7796 7217/7795 +f 7258/7803 7225/7804 7222/7800 7257/7799 +f 7223/7805 7224/7806 7221/7802 7220/7801 +f 510/513 469/514 7225/7804 7258/7803 +f 467/515 468/516 7224/7806 7223/7805 +f 11965/7807 11956/7780 7214/7793 7227/7808 +f 7219/7792 7228/7809 7227/7808 7214/7793 +f 7222/7800 7229/7810 7228/7809 7219/7792 +f 7225/7804 7230/7811 7229/7810 7222/7800 +f 469/514 475/522 7230/7811 7225/7804 +f 11957/7788 11954/7775 7208/7778 7171/7789 +f 7212/7798 7170/7812 7216/7773 7217/7795 +f 7211/7772 7220/7801 7217/7795 7216/7773 +f 7220/7801 7211/7772 7215/7696 7223/7805 +f 456/399 467/515 7223/7805 7215/7696 +f 7233/7813 7234/7814 7201/7750 7200/7749 +f 7231/7815 7232/7816 7199/7769 7198/7754 +f 7259/7817 7233/7813 7200/7749 7252/7767 +f 7166/7690 7201/7750 7234/7814 7167/7691 +f 7236/7818 7167/7691 7234/7814 7240/7819 +f 7233/7813 7239/7820 7240/7819 7234/7814 +f 7259/7817 7260/7821 7239/7820 7233/7813 +f 7260/7821 7259/7817 7232/7816 7238/7822 +f 7231/7815 7237/7823 7238/7822 7232/7816 +f 7261/7824 7245/7825 7239/7820 7260/7821 +f 7245/7825 7246/7826 7240/7819 7239/7820 +f 11941/7827 7241/7828 7235/7829 11940/7830 +f 7236/7818 7240/7819 7246/7826 7242/7831 +f 7243/7832 7244/7833 7238/7822 7237/7823 +f 7175/7728 7176/7727 7247/7730 7248/7729 +f 7189/7746 7190/7745 7251/7742 7250/7741 +f 7177/7732 7191/7761 7249/7759 7248/7729 +f 7199/7769 7252/7767 7253/7768 7204/7770 +f 11955/7776 11964/7779 7254/7782 7209/7777 +f 7218/7796 7256/7791 7255/7794 7213/7797 +f 7221/7802 7257/7799 7256/7791 7218/7796 +f 7224/7806 7258/7803 7257/7799 7221/7802 +f 468/516 510/513 7258/7803 7224/7806 +f 7232/7816 7259/7817 7252/7767 7199/7769 +f 7237/7823 7231/7815 7267/7834 7266/7835 +f 7244/7833 7261/7824 7260/7821 7238/7822 +f 7266/7835 7265/7836 7243/7832 7237/7823 +f 7227/7808 7228/7809 7262/7837 7263/7838 +f 7228/7809 7229/7810 7269/7839 7262/7837 +f 11965/7807 7227/7808 7263/7838 11963/7840 +f 7266/7835 7267/7834 7282/7841 7281/7842 +f 7207/7753 7267/7834 7231/7815 7198/7754 +f 7230/7811 475/522 521/555 7268/7843 +f 7229/7810 7230/7811 7268/7843 7269/7839 +f 7272/7844 7273/7845 7196/7748 7195/7747 +f 7265/7836 524/695 494/702 7243/7832 +f 7270/7846 7274/7847 7197/7762 7181/7736 +f 7263/7838 7262/7837 7277/7848 7278/7849 +f 7275/7850 7276/7851 7207/7753 7206/7756 +f 7281/7852 7282/7853 7297/7854 7296/7855 +f 7269/7839 7268/7843 7283/7856 7284/7857 +f 7281/7842 7280/7858 7265/7836 7266/7835 +f 7262/7837 7269/7839 7284/7857 7277/7848 +f 7276/7851 7282/7841 7267/7834 7207/7753 +f 11963/7840 7263/7838 7278/7849 11962/7859 +f 7181/7736 7182/7735 7271/7860 7270/7846 +f 7277/7861 7284/7862 7299/7863 7292/7864 +f 7284/7862 7283/7865 7298/7866 7299/7863 +f 7296/7855 7295/7867 7280/7868 7281/7852 +f 11962/7869 7278/7870 7293/7871 11953/7872 +f 7290/7873 7291/7874 7276/7875 7275/7876 +f 7285/7877 7289/7878 7274/7879 7270/7880 +f 7270/7880 7271/7881 7286/7882 7285/7877 +f 7278/7870 7277/7861 7292/7864 7293/7871 +f 7312/7883 7311/7884 7296/7855 7297/7854 +f 7291/7874 7297/7854 7282/7853 7276/7875 +f 7287/7885 7288/7886 7273/7887 7272/7888 +f 7306/7889 7312/7883 7297/7854 7291/7874 +f 7302/7890 7303/7891 7288/7886 7287/7885 +f 7298/7866 555/7892 572/7893 7313/7894 +f 7292/7864 7299/7863 7314/7895 7307/7896 +f 7299/7863 7298/7866 7313/7894 7314/7895 +f 7311/7884 7310/7897 7295/7867 7296/7855 +f 11953/7872 7293/7871 7308/7898 11952/7899 +f 7305/7900 7306/7889 7291/7874 7290/7873 +f 7300/7901 7304/7902 7289/7878 7285/7877 +f 7285/7877 7286/7882 7301/7903 7300/7901 +f 7293/7871 7292/7864 7307/7896 7308/7898 +f 7311/7884 7312/7883 7327/7904 7326/7905 +f 7342/7906 7341/7907 7326/7905 7327/7904 +f 7321/7908 7327/7904 7312/7883 7306/7889 +f 7317/7909 7318/7910 7303/7891 7302/7890 +f 7313/7894 572/7893 589/7911 7328/7912 +f 7307/7896 7314/7895 7329/7913 7322/7914 +f 7314/7895 7313/7894 7328/7912 7329/7913 +f 7326/7905 7325/7915 7310/7897 7311/7884 +f 11952/7899 7308/7898 7323/7916 11951/7917 +f 7320/7918 7321/7908 7306/7889 7305/7900 +f 7315/7919 7319/7920 7304/7902 7300/7901 +f 7300/7901 7301/7903 7316/7921 7315/7919 +f 7400/7922 7415/7923 694/638 677/637 +f 7308/7898 7307/7896 7322/7914 7323/7916 +f 7330/7924 7334/7925 7319/7920 7315/7919 +f 7315/7919 7316/7921 7331/7926 7330/7924 +f 7385/7927 7400/7922 677/637 660/644 +f 7323/7916 7322/7914 7337/7928 7338/7929 +f 7341/7907 7342/7906 7357/7930 7356/7931 +f 7336/7932 7342/7906 7327/7904 7321/7908 +f 660/644 643/651 7370/7933 7385/7927 +f 7332/7934 7333/7935 7318/7910 7317/7909 +f 7328/7912 589/7911 606/7936 7343/7937 +f 643/651 626/657 7355/7938 7370/7933 +f 7322/7914 7329/7913 7344/7939 7337/7928 +f 7329/7913 7328/7912 7343/7937 7344/7939 +f 7341/7907 7340/7940 7325/7915 7326/7905 +f 11951/7917 7323/7916 7338/7929 11950/7941 +f 7335/7942 7336/7932 7321/7908 7320/7918 +f 7343/7937 606/7936 623/7943 7358/7944 +f 7355/7938 626/657 609/664 7340/7940 +f 7337/7928 7344/7939 7359/7945 7352/7946 +f 7344/7939 7343/7937 7358/7944 7359/7945 +f 7356/7931 7355/7938 7340/7940 7341/7907 +f 11950/7941 7338/7929 7353/7947 11961/7948 +f 7350/7949 7351/7950 7336/7932 7335/7942 +f 7345/7951 7349/7952 7334/7925 7330/7924 +f 7330/7924 7331/7926 7346/7953 7345/7951 +f 592/674 7325/7915 7340/7940 609/664 +f 7338/7929 7337/7928 7352/7946 7353/7947 +f 7372/7954 7371/7955 7356/7931 7357/7930 +f 7351/7950 7357/7930 7342/7906 7336/7932 +f 7325/7915 592/674 575/677 7310/7897 +f 7347/7956 7348/7957 7333/7935 7332/7934 +f 7366/7958 7372/7954 7357/7930 7351/7950 +f 7310/7897 575/677 558/681 7295/7867 +f 7362/7959 7363/7960 7348/7957 7347/7956 +f 7358/7944 623/7943 640/7961 7373/7962 +f 7295/7867 558/681 541/686 7280/7868 +f 7352/7946 7359/7945 7374/7963 7367/7964 +f 7359/7945 7358/7944 7373/7962 7374/7963 +f 7371/7955 7370/7933 7355/7938 7356/7931 +f 11961/7948 7353/7947 7368/7965 11960/7966 +f 7365/7967 7366/7958 7351/7950 7350/7949 +f 7360/7968 7364/7969 7349/7952 7345/7951 +f 7345/7951 7346/7953 7361/7970 7360/7968 +f 7353/7947 7352/7946 7367/7964 7368/7965 +f 7372/7954 7387/7971 7386/7972 7371/7955 +f 7401/7973 7386/7972 7387/7971 7402/7974 +f 7381/7975 7387/7971 7372/7954 7366/7958 +f 7245/7825 496/719 497/729 7246/7826 +f 7377/7976 7378/7977 7363/7960 7362/7959 +f 7373/7962 640/7961 657/7978 7388/7979 +f 7367/7964 7374/7963 7389/7980 7382/7981 +f 7374/7963 7373/7962 7388/7979 7389/7980 +f 7386/7972 7385/7927 7370/7933 7371/7955 +f 11960/7966 7368/7965 7383/7982 11959/7983 +f 7380/7984 7381/7975 7366/7958 7365/7967 +f 7375/7985 7379/7986 7364/7969 7360/7968 +f 7360/7968 7361/7970 7376/7987 7375/7985 +f 514/716 7261/7824 7244/7833 495/707 +f 7368/7965 7367/7964 7382/7981 7383/7982 +f 7388/7979 657/7978 674/7988 7403/7989 +f 7382/7981 7389/7980 7404/7990 7397/7991 +f 7389/7980 7388/7979 7403/7989 7404/7990 +f 7401/7973 7400/7922 7385/7927 7386/7972 +f 11959/7983 7383/7982 7398/7992 11958/7993 +f 7395/7994 7396/7995 7381/7975 7380/7984 +f 7390/7996 7394/7997 7379/7986 7375/7985 +f 7375/7985 7376/7987 7391/7998 7390/7996 +f 7383/7982 7382/7981 7397/7991 7398/7992 +f 7416/7999 7401/7973 7402/7974 7417/8000 +f 7396/7995 7402/7974 7387/7971 7381/7975 +f 11941/7827 5338/1165 492/1164 7241/7828 +f 7392/8001 7393/8002 7378/7977 7377/7976 +f 7405/8003 7409/8004 7394/7997 7390/7996 +f 7390/7996 7391/7998 7406/8005 7405/8003 +f 7398/7992 7397/7991 7412/8006 7413/8007 +f 7411/8008 7417/8000 7402/7974 7396/7995 +f 7407/8009 7408/8010 7393/8002 7392/8001 +f 7403/7989 674/7988 691/8011 7418/8012 +f 7397/7991 7404/7990 7419/8013 7412/8006 +f 7404/7990 7403/7989 7418/8012 7419/8013 +f 7416/7999 7415/7923 7400/7922 7401/7973 +f 11958/7993 7398/7992 7413/8007 11969/8014 +f 7410/8015 7411/8008 7396/7995 7395/7994 +f 7425/8016 7426/8017 7411/8008 7410/8015 +f 7431/8018 7416/7999 7417/8000 7432/8019 +f 7415/7923 7430/8020 711/752 694/638 +f 7420/8021 7424/8022 7409/8004 7405/8003 +f 7405/8003 7406/8005 7421/8023 7420/8021 +f 7414/8024 7429/8025 7421/8023 7406/8005 +f 7426/8017 7432/8019 7417/8000 7411/8008 +f 7422/8026 7423/8027 7408/8010 7407/8009 +f 7418/8012 691/8011 708/8028 7433/8029 +f 7412/8006 7419/8013 7434/8030 7427/8031 +f 7419/8013 7418/8012 7433/8029 7434/8030 +f 7416/7999 7431/8018 7430/8020 7415/7923 +f 11969/8014 7413/8007 7428/8032 11968/8033 +f 7428/8032 7413/8007 7412/8006 7427/8031 +f 11968/8033 7420/8021 7421/8023 7429/8025 +f 7425/8016 7424/8034 7420/8035 7426/8017 +f 11842/7563 11854/8036 7021/8037 7012/7564 +f 7447/8038 7446/8039 7235/7829 7241/7828 +f 7436/8040 7140/8041 7141/8042 7448/8043 +f 7160/7718 7161/7717 7453/8044 7452/8045 +f 7163/7764 7183/7740 7184/7739 7164/7765 +f 7453/8044 7161/7717 7162/7719 7445/8046 +f 7449/8047 7465/8048 7467/8049 7450/8050 +f 7462/8051 7461/8052 7597/8053 7596/8054 +f 7469/8055 7470/8056 7468/8057 7466/8058 +f 7471/8059 7472/8060 7470/8056 7469/8055 +f 7473/8061 7474/8062 7472/8060 7471/8059 +f 7475/8063 7476/8064 7474/8062 7473/8061 +f 7477/8065 7478/8066 7476/8064 7475/8063 +f 7479/8067 7480/8068 7478/8066 7477/8065 +f 7483/8069 7484/8070 7482/8071 7481/8072 +f 7485/8073 7486/8074 7484/8070 7483/8069 +f 7487/8075 7488/8076 7486/8074 7485/8073 +f 7489/8077 7490/8078 7488/8076 7487/8075 +f 7491/8079 7492/8080 7490/8078 7489/8077 +f 7493/8081 7494/8082 7492/8080 7491/8079 +f 7461/8052 7460/8083 7598/8084 7597/8053 +f 7686/8085 7685/8086 7500/8087 7501/8088 +f 7501/8089 7500/8090 7503/8091 7504/8092 +f 7504/8092 7503/8091 7506/8093 7507/8094 +f 7507/8094 7506/8093 7509/8095 7511/8096 +f 7515/8097 7510/8098 7527/8099 7522/8100 +f 7521/8101 7517/8102 7522/8100 7516/8103 +f 7511/8096 7509/8095 7514/8104 7516/8103 +f 7516/8103 7514/8104 7519/8105 7521/8101 +f 7520/8106 7515/8097 7522/8100 7517/8102 +f 7516/8103 7522/8100 7527/8099 7511/8096 +f 7521/8101 7519/8105 7524/8107 7526/8108 +f 7510/8098 7513/8109 7508/8110 7730/8111 +f 7514/8104 804/846 810/845 7519/8105 +f 7525/8112 7520/8106 7517/8102 7512/8113 +f 7491/8079 7498/8114 7499/8115 7493/8081 +f 7489/8077 7497/8116 7498/8114 7491/8079 +f 7487/8075 7496/8117 7497/8116 7489/8077 +f 7503/8091 788/854 792/853 7506/8093 +f 7463/8118 7462/8051 7596/8054 7595/8119 +f 7020/7581 7019/8120 11839/7558 11840/7557 +f 7466/8058 7482/8071 7484/8070 7469/8055 +f 7469/8055 7484/8070 7486/8074 7471/8059 +f 7471/8059 7486/8074 7488/8076 7473/8061 +f 7473/8061 7488/8076 7490/8078 7475/8063 +f 7475/8063 7490/8078 7492/8080 7477/8065 +f 7477/8065 7492/8080 7494/8082 7479/8067 +f 7470/8056 7472/8060 7530/8121 7529/8122 +f 7478/8066 7480/8068 7534/8123 7533/8124 +f 7476/8064 7478/8066 7533/8124 7532/8125 +f 7474/8062 7476/8064 7532/8125 7531/8126 +f 7472/8060 7474/8062 7531/8126 7530/8121 +f 7529/8127 7530/8128 7536/8129 7535/8130 +f 7533/8124 7534/8123 7540/8131 7539/8132 +f 7530/8128 7531/8133 7537/8134 7536/8129 +f 7531/8126 7532/8125 7538/8135 7537/8136 +f 7532/8125 7533/8124 7539/8132 7538/8135 +f 7535/8130 7536/8129 7542/8137 7541/8138 +f 7539/8132 7540/8131 7546/8139 7545/8140 +f 7536/8129 7537/8134 7543/8141 7542/8137 +f 7537/8136 7538/8135 7544/8142 7543/8143 +f 7538/8135 7539/8132 7545/8140 7544/8142 +f 7541/8138 7542/8137 7548/8144 7547/8145 +f 7545/8140 7546/8139 7552/8146 7551/8147 +f 7542/8137 7543/8141 7549/8148 7548/8144 +f 7543/8143 7544/8142 7550/8149 7549/8150 +f 7544/8142 7545/8140 7551/8147 7550/8149 +f 7547/8145 7548/8144 7554/8151 7553/8152 +f 7551/8147 7552/8146 7558/8153 7557/8154 +f 7548/8144 7549/8148 7555/8155 7554/8151 +f 7549/8150 7550/8149 7556/8156 7555/8157 +f 7550/8149 7551/8147 7557/8154 7556/8156 +f 7553/8152 7554/8151 7560/8158 7559/8159 +f 7557/8154 7558/8153 7564/8160 7563/8161 +f 7554/8151 7555/8155 7561/8162 7560/8158 +f 7555/8157 7556/8156 7562/8163 7561/8164 +f 7556/8156 7557/8154 7563/8161 7562/8163 +f 7711/8165 7712/8166 855/8167 854/8168 +f 7725/8169 7710/8170 859/8171 858/8172 +f 7712/8166 7724/8173 856/8174 855/8167 +f 7724/8175 7723/8176 857/8177 856/8178 +f 7723/8176 7725/8169 858/8172 857/8177 +f 7666/8179 7742/8180 11973/8181 7568/8182 +f 7742/8180 7714/8183 11972/8184 11973/8181 +f 7664/8185 7665/8186 7567/8187 11970/8188 +f 7702/8189 7662/8190 7569/8191 11971/8192 +f 7665/8186 7666/8179 7568/8182 7567/8187 +f 7662/8190 7663/8193 7570/8194 7569/8191 +f 11845/8195 7574/8196 7573/8197 11846/8198 +f 11846/8198 7573/8197 7576/8199 11847/8200 +f 7672/8201 7683/8202 7675/8203 7674/8204 +f 11855/8205 11714/8206 7574/8196 11845/8195 +f 7638/8207 7639/8208 7645/8209 7644/8210 +f 11847/8200 7576/8199 7577/7585 11849/7584 +f 7583/8211 7585/7587 7668/7590 7671/8212 +f 7674/8204 7583/8211 7671/8212 7672/8201 +f 7645/8209 7639/8208 7640/8213 7646/8214 +f 11850/8215 7597/8053 7598/8084 11851/8216 +f 7470/8056 7529/8122 7588/8217 7468/8057 +f 7535/8130 7589/8218 7588/8219 7529/8127 +f 7541/8138 7590/8220 7589/8218 7535/8130 +f 7547/8145 7591/8221 7590/8220 7541/8138 +f 7553/8152 7592/8222 7591/8221 7547/8145 +f 7559/8159 7593/8223 7592/8222 7553/8152 +f 6995/8224 7605/8225 7604/8226 6989/8227 +f 11699/8228 11701/8229 6928/7482 6872/7485 +f 6917/7474 6960/8230 7606/8231 6916/7475 +f 11715/8232 11701/8229 6929/8233 7607/8234 +f 11715/8232 11703/7542 6972/7523 6964/7524 +f 7608/8235 7609/8236 7606/8231 6960/8230 +f 7604/8226 7609/8236 7608/8235 6989/8227 +f 6923/7488 6939/7528 6950/7516 6933/7489 +f 6926/7478 6962/7519 6937/7522 6925/7479 +f 6893/7438 6898/7449 6894/7448 6889/7439 +f 6928/7482 6964/7524 6963/7520 6927/7483 +f 6934/7492 6951/7508 6952/7507 6935/7493 +f 6890/7440 6895/7453 6896/7452 6891/7442 +f 6930/7496 6947/7513 6948/7510 6931/7498 +f 6924/7486 6938/7526 6939/7528 6923/7488 +f 6889/7439 6894/7448 6895/7453 6890/7440 +f 6927/7483 6963/7520 6962/7519 6926/7478 +f 6935/7493 6952/7507 6943/7501 6936/7500 +f 6931/7498 6948/7510 6951/7508 6934/7492 +f 6933/7489 6950/7516 6949/7514 6932/7490 +f 6898/7449 6893/7438 6936/7500 6943/7501 +f 6925/7479 6937/7522 6938/7526 6924/7486 +f 6932/7490 6949/7514 6947/7513 6930/7496 +f 6891/7442 6896/7452 6897/7455 6892/7444 +f 7460/8083 7614/8237 7615/8238 7598/8084 +f 11851/8216 7598/8084 7615/8238 11852/8239 +f 7506/8093 792/853 798/977 7509/8095 +f 804/846 7514/8104 7509/8095 798/977 +f 7519/8105 810/845 816/978 7524/8107 +f 7450/8050 7621/8240 7622/8241 7449/8047 +f 7617/8242 7624/8243 7625/8244 7619/8245 +f 7623/8246 7625/8244 7624/8243 7616/8247 +f 7594/8248 7620/8249 7619/8245 7625/8244 +f 7594/8248 7625/8244 7623/8246 7464/8250 +f 7502/8251 7626/8252 7627/8253 7505/8254 +f 7527/8099 7510/8098 7730/8111 7731/8255 +f 7511/8096 7527/8099 7731/8255 7507/8094 +f 7521/8101 7526/8108 7512/8113 7517/8102 +f 7523/8256 7520/8106 7525/8112 7528/8257 +f 7518/8258 7515/8097 7520/8106 7523/8256 +f 7515/8097 7518/8258 7513/8109 7510/8098 +f 7626/8252 7629/8259 7628/8260 7627/8253 +f 7689/8261 7623/8246 7616/8247 7688/8262 +f 7689/8261 7626/8263 7502/8264 7690/8265 +f 7618/8266 7595/8119 7596/8054 7458/8267 +f 7727/8268 7726/8269 7495/8270 7630/8271 +f 7496/8117 7631/8272 7632/8273 7497/8116 +f 7497/8116 7632/8273 7633/8274 7498/8114 +f 7498/8114 7633/8274 7634/8275 7499/8115 +f 7694/8276 7495/8277 7481/8278 7696/8279 +f 7692/8280 7466/8281 7468/8282 7691/8283 +f 7695/8284 7630/8285 7495/8277 7694/8276 +f 7692/8280 7614/8237 7460/8083 7693/8286 +f 7696/8279 7481/8278 7482/8287 7693/8286 +f 7687/8288 7691/8283 7468/8282 7588/8219 +f 7661/8289 7702/8189 11971/8192 7566/8290 +f 7579/8291 7661/8289 7566/8290 7571/8292 +f 11713/8293 7565/8294 7574/8196 11714/8206 +f 7714/8183 970/8295 5369/8296 11972/8184 +f 7663/8193 7664/8185 11970/8188 7570/8194 +f 7614/8237 7572/8297 7575/8298 7615/8238 +f 7658/8299 7659/8300 11976/8301 11979/8302 +f 7697/8303 7687/8288 7588/8219 7589/8218 +f 11891/8304 7716/8305 935/8306 5285/8307 +f 12145/8308 12144/8309 7721/8310 7736/8311 +f 12146/8312 12145/8308 7736/8311 7642/8313 +f 11888/8314 7592/8222 7593/8223 11889/8315 +f 11887/8316 7591/8221 7592/8222 11888/8314 +f 11886/8317 7590/8220 7591/8221 11887/8316 +f 11892/8318 7589/8218 7590/8220 11886/8317 +f 7732/8319 7735/8320 7593/8223 7559/8159 +f 7645/8209 7646/8214 7652/8321 7651/8322 +f 7720/8323 949/8324 956/8325 7719/8326 +f 7644/8210 7645/8209 7651/8322 7650/8327 +f 7647/8328 7648/8329 7654/8330 7653/8331 +f 7699/8332 7644/8210 7650/8327 7700/8333 +f 7646/8214 7647/8328 7653/8331 7652/8321 +f 11991/8334 11985/8335 7656/8336 7701/8337 +f 11988/8338 11987/8339 7659/8300 7658/8299 +f 11989/8340 11988/8338 7658/8299 7657/8341 +f 11992/8342 5390/8343 963/8344 7715/8345 +f 11985/8335 11989/8340 7657/8341 7656/8336 +f 11987/8339 11990/8346 7660/8347 7659/8300 +f 11976/8301 11975/8348 7666/8179 7665/8186 +f 11981/8349 11977/8350 7662/8190 7702/8189 +f 11979/8302 11976/8301 7665/8186 7664/8185 +f 11980/8351 11979/8302 7664/8185 7663/8193 +f 11982/8352 5380/8353 970/8295 7714/8183 +f 11977/8350 11980/8351 7663/8193 7662/8190 +f 7722/8354 7717/8355 882/8356 883/8357 +f 7669/8358 7668/7590 7667/7589 7586/8359 +f 7019/8120 7673/8360 7677/8361 7017/8362 +f 7670/8363 7020/7581 7042/7580 7043/8364 +f 7670/8363 7673/8360 7019/8120 7020/7581 +f 7745/8365 7667/7589 7584/7588 7743/8366 +f 7646/8214 7640/8213 7641/8367 7647/8328 +f 7647/8328 7641/8367 7642/8313 7648/8329 +f 11853/8368 5244/1110 252/1109 7022/8369 +f 7677/8361 7678/8370 7018/8371 7017/8362 +f 11854/8036 11853/8368 7022/8369 7021/8037 +f 12150/8372 12147/8373 7673/8360 7670/8363 +f 12150/8372 7670/8363 7043/8364 12151/8374 +f 7642/8313 7736/8311 7741/8375 7648/8329 +f 7684/8376 7683/8202 7672/8201 7681/8377 +f 7681/8377 7672/8201 7671/8212 7682/8378 +f 12147/8373 12148/8379 7677/8361 7673/8360 +f 7467/8049 7465/8048 7685/8086 7686/8085 +f 7736/8311 7721/8310 7720/8323 7741/8375 +f 7626/8263 7689/8261 7688/8262 7629/8380 +f 7623/8246 7689/8261 7690/8265 7464/8250 +f 7462/8051 7694/8276 7696/8279 7461/8052 +f 7614/8237 7692/8280 7691/8283 7459/8381 +f 7463/8118 7695/8284 7694/8276 7462/8051 +f 7466/8281 7692/8280 7693/8286 7482/8287 +f 7461/8052 7696/8279 7693/8286 7460/8083 +f 7587/8382 7459/8381 7691/8283 7687/8288 +f 7636/8383 7587/8382 7687/8288 7697/8303 +f 11885/8384 7697/8303 7589/8218 11892/8318 +f 7643/8385 7699/8332 7700/8333 7649/8386 +f 11986/8387 11991/8334 7701/8337 7655/8388 +f 11978/8389 11981/8349 7702/8189 7661/8289 +f 7681/8377 7682/8378 7704/8390 7705/8391 +f 7681/8377 7705/8391 7706/8392 7684/8376 +f 7721/8310 942/8393 949/8324 7720/8323 +f 7682/8378 7669/8358 7707/8394 7704/8390 +f 12154/8395 5555/1139 1016/1138 7708/8396 +f 7737/8397 7744/8398 7723/8176 7724/8175 +f 882/8356 7717/8355 7718/8399 880/8400 +f 12156/8401 7698/8402 7637/8403 12157/8404 +f 7734/8405 7747/8406 7709/8407 7586/8359 +f 7004/7552 7009/7555 7007/7548 6998/7547 +f 7708/8396 1016/1138 984/1152 7680/8408 +f 7741/8375 7720/8323 7719/8326 7740/8409 +f 7586/8359 7709/8407 7707/8394 7669/8358 +f 7746/8410 7737/8411 7724/8173 7712/8166 +f 11983/8412 11982/8352 7714/8183 7742/8180 +f 7682/8378 7671/8212 7668/7590 7669/8358 +f 7713/8413 7722/8354 883/8357 1014/1158 +f 7733/8414 7738/8415 7710/8170 7725/8169 +f 7732/8319 7746/8410 7712/8166 7711/8165 +f 11993/8416 11992/8342 7715/8345 7739/8417 +f 854/8168 935/8306 7716/8305 7711/8165 +f 7744/8398 7733/8414 7725/8169 7723/8176 +f 7734/8405 7745/8365 7717/8355 7722/8354 +f 12148/8379 7707/8394 7709/8407 12153/8418 +f 6981/7532 6998/7547 7007/7548 6984/7533 +f 7131/7692 11940/7830 7235/7829 7162/7719 +f 7446/8039 7445/8046 7162/7719 7235/7829 +f 7454/8419 7447/8038 725/1166 734/5565 +f 7617/8242 7621/8240 7450/8050 7624/8243 +f 7624/8243 7450/8050 7467/8049 7616/8247 +f 7686/8085 7688/8262 7616/8247 7467/8049 +f 7688/8262 7686/8085 7501/8088 7629/8380 +f 7504/8092 7628/8260 7629/8259 7501/8089 +f 7500/8090 784/1167 788/854 7503/8091 +f 7685/8086 992/1169 784/1168 7500/8087 +f 992/1169 7685/8086 7465/8048 781/1170 +f 781/1170 7465/8048 7449/8047 748/1171 +f 7622/8241 733/1172 748/1171 7449/8047 +f 11748/8420 11856/8421 7612/8422 11913/8423 +f 11902/8424 11901/8425 7619/8245 7620/8249 +f 11901/8425 11900/8426 7617/8242 7619/8245 +f 11900/8426 11899/8427 7621/8240 7617/8242 +f 11899/8427 11898/8428 7622/8241 7621/8240 +f 7052/7663 7054/7665 11686/7610 7053/7609 +f 7729/8429 7728/8430 7726/8269 7727/8268 +f 7481/8072 7495/8270 7726/8269 7483/8069 +f 7483/8069 7726/8269 7728/8430 7485/8073 +f 7627/8253 7730/8111 7508/8110 7505/8254 +f 7628/8260 7731/8255 7730/8111 7627/8253 +f 7507/8094 7731/8255 7628/8260 7504/8092 +f 7729/8429 7631/8272 7496/8117 7728/8430 +f 7485/8073 7728/8430 7496/8117 7487/8075 +f 7649/8386 7582/8431 7581/8432 7643/8385 +f 11984/8433 11986/8387 7655/8388 7580/8434 +f 7701/8337 7656/8336 11977/8350 11981/8349 +f 7680/8408 7679/8435 7001/8436 7708/8396 +f 7679/8435 7018/8371 7678/8370 7001/8436 +f 7711/8165 7716/8305 7735/8320 7732/8319 +f 7717/8355 7745/8365 7743/8366 7718/8399 +f 7561/8164 7562/8163 7744/8398 7737/8397 +f 7722/8354 7713/8413 7747/8406 7734/8405 +f 7648/8329 7741/8375 7740/8409 7654/8330 +f 7560/8158 7561/8162 7737/8411 7746/8410 +f 11975/8348 11983/8412 7742/8180 7666/8179 +f 7563/8161 7564/8160 7738/8415 7733/8414 +f 7559/8159 7560/8158 7746/8410 7732/8319 +f 11990/8346 11993/8416 7739/8417 7660/8347 +f 7562/8163 7563/8161 7733/8414 7744/8398 +f 7586/8359 7667/7589 7745/8365 7734/8405 +f 12154/8395 12158/8437 7747/8406 7713/8413 +f 12158/8437 12153/8418 7709/8407 7747/8406 +f 13354/8438 13353/8439 7749/8440 7748/8441 +f 13356/8442 13355/8443 6803/8444 6800/8445 +f 13357/8446 13356/8442 6800/8445 6797/8447 +f 13358/8448 13357/8446 6797/8447 6794/8449 +f 13359/8450 13358/8448 6794/8449 6791/8451 +f 13360/8452 13353/8439 6786/7323 6839/7375 +f 13362/8453 13361/8454 6854/7401 6857/7405 +f 13365/8455 13364/8456 7769/8457 7773/8458 +f 13361/8454 13366/8459 6851/7395 6854/7401 +f 13379/8460 13363/8461 6838/8462 11696/8463 +f 13366/8459 13364/8456 6848/7396 6851/7395 +f 13369/8464 13368/8465 6835/8466 6832/8467 +f 13365/8455 13370/8468 6845/7385 6887/7389 +f 13371/8469 13369/8464 6832/8467 6829/8470 +f 13370/8468 13372/8471 6842/7381 6845/7385 +f 13372/8471 13360/8452 6839/7375 6842/7381 +f 13375/8472 13374/8473 6821/8474 6818/8475 +f 13380/8476 13367/8477 6815/8478 11694/8479 +f 13377/8480 13376/8481 6812/8482 6809/8483 +f 13354/8438 13359/8450 6791/8451 6785/7324 +f 13378/8484 13377/8480 6809/8483 6806/8485 +f 13355/8443 13378/8484 6806/8485 6803/8444 +f 7788/8486 7789/8487 7763/8488 7762/8489 +f 7785/8490 7786/8491 7760/8492 7759/8493 +f 7780/8494 7781/8495 7755/8496 7754/8497 +f 7774/8498 7776/8499 7750/8500 7748/8441 +f 7794/8501 7793/8502 7767/8503 7768/8504 +f 7789/8487 7790/8505 7764/8506 7763/8488 +f 7781/8495 7782/8507 7756/8508 7755/8496 +f 7776/8499 7777/8509 7751/8510 7750/8500 +f 7773/8458 7769/8457 7795/8511 7799/8512 +f 7799/8512 7794/8501 7768/8504 7773/8458 +f 11720/8513 7791/8514 7765/8515 11718/8516 +f 7782/8507 7783/8517 7757/8518 7756/8508 +f 7777/8509 7778/8519 7752/8520 7751/8510 +f 7796/8521 7795/8511 7769/8457 7770/8522 +f 11719/8523 7784/8524 7758/8525 11717/8526 +f 7778/8519 7779/8527 7753/8528 7752/8520 +f 7797/8529 7796/8521 7770/8522 7771/8530 +f 7792/8531 7775/8532 7749/8440 7766/8533 +f 7779/8527 7780/8494 7754/8497 7753/8528 +f 7748/8441 7749/8440 7775/8532 7774/8498 +f 7798/8534 7797/8529 7771/8530 7772/8535 +f 7793/8502 7792/8531 7766/8533 7767/8503 +f 7819/8536 7818/8537 7792/8538 7793/8539 +f 7814/8540 7815/8541 7789/8542 7788/8543 +f 7811/8544 7812/8545 7786/8546 7785/8547 +f 7806/8548 7807/8549 7781/8550 7780/8551 +f 7800/8552 7802/8553 7776/8554 7774/8555 +f 7820/8556 7819/8536 7793/8539 7794/8557 +f 7815/8541 7816/8558 7790/8559 7789/8542 +f 7807/8549 7808/8560 7782/8561 7781/8550 +f 7802/8553 7803/8562 7777/8563 7776/8554 +f 7799/8564 7795/8565 7821/8566 7825/8567 +f 7825/8567 7820/8556 7794/8557 7799/8564 +f 11722/8568 7817/8569 7791/8570 11720/8571 +f 7808/8560 7809/8572 7783/8573 7782/8561 +f 7803/8562 7804/8574 7778/8575 7777/8563 +f 7822/8576 7821/8566 7795/8565 7796/8577 +f 11721/8578 7810/8579 7784/8580 11719/8581 +f 7804/8574 7805/8582 7779/8583 7778/8575 +f 7823/8584 7822/8576 7796/8577 7797/8585 +f 7818/8537 7801/8586 7775/8587 7792/8538 +f 7805/8582 7806/8548 7780/8551 7779/8583 +f 7774/8555 7775/8587 7801/8586 7800/8552 +f 7824/8588 7823/8584 7797/8585 7798/8589 +f 7849/8590 7848/8591 7822/8576 7823/8584 +f 7844/8592 7827/8593 7801/8586 7818/8537 +f 7831/8594 7832/8595 7806/8548 7805/8582 +f 7800/8552 7801/8586 7827/8593 7826/8596 +f 7850/8597 7849/8590 7823/8584 7824/8588 +f 7845/8598 7844/8592 7818/8537 7819/8536 +f 7840/8599 7841/8600 7815/8541 7814/8540 +f 7837/8601 7838/8602 7812/8545 7811/8544 +f 7832/8595 7833/8603 7807/8549 7806/8548 +f 7826/8596 7828/8604 7802/8553 7800/8552 +f 7846/8605 7845/8598 7819/8536 7820/8556 +f 7841/8600 7842/8606 7816/8558 7815/8541 +f 7833/8603 7834/8607 7808/8560 7807/8549 +f 7828/8604 7829/8608 7803/8562 7802/8553 +f 7825/8567 7821/8566 7847/8609 7851/8610 +f 7851/8610 7846/8605 7820/8556 7825/8567 +f 11724/8611 7843/8612 7817/8569 11722/8568 +f 7834/8607 7835/8613 7809/8572 7808/8560 +f 7829/8608 7830/8614 7804/8574 7803/8562 +f 7848/8591 7847/8609 7821/8566 7822/8576 +f 11723/8615 7836/8616 7810/8579 11721/8578 +f 7830/8614 7831/8594 7805/8582 7804/8574 +f 7852/8617 7854/8618 7828/8604 7826/8596 +f 7872/8619 7871/8620 7845/8598 7846/8605 +f 7867/8621 7868/8622 7842/8606 7841/8600 +f 7859/8623 7860/8624 7834/8607 7833/8603 +f 7854/8618 7855/8625 7829/8608 7828/8604 +f 7851/8610 7847/8609 7873/8626 7877/8627 +f 7877/8627 7872/8619 7846/8605 7851/8610 +f 11726/8628 7869/8629 7843/8612 11724/8611 +f 7860/8624 7861/8630 7835/8613 7834/8607 +f 7855/8625 7856/8631 7830/8614 7829/8608 +f 7874/8632 7873/8626 7847/8609 7848/8591 +f 11725/8633 7862/8634 7836/8616 11723/8615 +f 7856/8631 7857/8635 7831/8594 7830/8614 +f 7875/8636 7874/8632 7848/8591 7849/8590 +f 7870/8637 7853/8638 7827/8593 7844/8592 +f 7857/8635 7858/8639 7832/8595 7831/8594 +f 7826/8596 7827/8593 7853/8638 7852/8617 +f 7876/8640 7875/8636 7849/8590 7850/8597 +f 7871/8620 7870/8637 7844/8592 7845/8598 +f 7866/8641 7867/8621 7841/8600 7840/8599 +f 7863/8642 7864/8643 7838/8602 7837/8601 +f 7858/8639 7859/8623 7833/8603 7832/8595 +f 7852/8617 7853/8638 7879/8644 7878/8645 +f 7902/8646 7901/8647 7875/8636 7876/8640 +f 7897/8648 7896/8649 7870/8637 7871/8620 +f 7892/8650 7893/8651 7867/8621 7866/8641 +f 7889/8652 7890/8653 7864/8643 7863/8642 +f 7884/8654 7885/8655 7859/8623 7858/8639 +f 7878/8645 7880/8656 7854/8618 7852/8617 +f 7898/8657 7897/8648 7871/8620 7872/8619 +f 7893/8651 7894/8658 7868/8622 7867/8621 +f 7885/8655 7886/8659 7860/8624 7859/8623 +f 7880/8656 7881/8660 7855/8625 7854/8618 +f 7877/8627 7873/8626 7899/8661 7903/8662 +f 7903/8662 7898/8657 7872/8619 7877/8627 +f 11728/8663 7895/8664 7869/8629 11726/8628 +f 7886/8659 7887/8665 7861/8630 7860/8624 +f 7881/8660 7882/8666 7856/8631 7855/8625 +f 7900/8667 7899/8661 7873/8626 7874/8632 +f 11727/8668 7888/8669 7862/8634 11725/8633 +f 7882/8666 7883/8670 7857/8635 7856/8631 +f 7901/8647 7900/8667 7874/8632 7875/8636 +f 7896/8649 7879/8644 7853/8638 7870/8637 +f 7883/8670 7884/8654 7858/8639 7857/8635 +f 7908/8671 7909/8672 7883/8670 7882/8666 +f 7883/8670 7909/8672 7921/8673 7884/8654 +f 7884/8654 7921/8673 7910/8674 7885/8655 +f 7886/8659 7911/8675 7918/8676 7887/8665 +f 7928/8677 7927/8678 7901/8647 7902/8646 +f 11727/8668 11729/8679 7913/8680 7888/8669 +f 7889/8652 7914/8681 7915/8682 7890/8653 +f 7892/8650 7917/8683 7912/8684 7893/8651 +f 7904/8685 7906/8686 7880/8656 7878/8645 +f 7893/8651 7912/8684 7919/8687 7894/8658 +f 7896/8649 7897/8648 7922/8688 7923/8689 +f 7910/8674 7911/8675 7886/8659 7885/8655 +f 7901/8647 7927/8678 7905/8690 7900/8667 +f 7903/8662 7899/8661 7925/8691 7929/8692 +f 7900/8667 7905/8690 7925/8691 7899/8661 +f 11730/8693 7920/8694 7895/8664 11728/8663 +f 7903/8662 7929/8692 7907/8695 7898/8657 +f 7898/8657 7907/8695 7922/8688 7897/8648 +f 7896/8649 7923/8689 7926/8696 7879/8644 +f 7904/8685 7878/8645 7879/8644 7926/8696 +f 7880/8656 7906/8686 7924/8697 7881/8660 +f 7881/8660 7924/8697 7908/8671 7882/8666 +f 7888/8669 7913/8680 7914/8681 7889/8652 +f 7863/8642 7862/8634 7888/8669 7889/8652 +f 7837/8601 7836/8616 7862/8634 7863/8642 +f 7836/8616 7837/8601 7811/8544 7810/8579 +f 7908/8671 7924/8697 7950/8698 7934/8699 +f 7929/8692 7925/8691 7951/8700 7955/8701 +f 7907/8695 7929/8692 7955/8701 7933/8702 +f 11730/8693 7919/8687 7945/8703 11732/8704 +f 7912/8684 7917/8683 7943/8705 7938/8706 +f 7923/8689 7922/8688 7948/8707 7949/8708 +f 7918/8676 7911/8675 7937/8709 7944/8710 +f 7906/8686 7904/8685 7930/8711 7932/8712 +f 7922/8688 7907/8695 7933/8702 7948/8707 +f 11729/8679 7918/8676 7944/8710 11731/8713 +f 7909/8672 7908/8671 7934/8699 7935/8714 +f 7924/8697 7906/8686 7932/8712 7950/8698 +f 7926/8696 7923/8689 7949/8708 7952/8715 +f 7905/8690 7927/8678 7953/8716 7931/8717 +f 7915/8682 7914/8681 7940/8718 7941/8719 +f 7921/8673 7909/8672 7935/8714 7947/8720 +f 7927/8678 7928/8677 7954/8721 7953/8716 +f 7925/8691 7905/8690 7931/8717 7951/8700 +f 7919/8687 7912/8684 7938/8706 7945/8703 +f 7910/8674 7921/8673 7947/8720 7936/8722 +f 7904/8685 7926/8696 7952/8715 7930/8711 +f 7914/8681 7913/8680 7939/8723 7940/8718 +f 7911/8675 7910/8674 7936/8722 7937/8709 +f 11731/8713 7944/8710 7970/8724 11733/8725 +f 7935/8714 7934/8699 7960/8726 7961/8727 +f 7949/8708 7948/8707 7974/8728 7975/8729 +f 7953/8716 7954/8721 7980/8730 7979/8731 +f 7931/8717 7953/8716 7979/8731 7957/8732 +f 7941/8719 7940/8718 7966/8733 7967/8734 +f 7947/8720 7935/8714 7961/8727 7973/8735 +f 7930/8711 7952/8715 7978/8736 7956/8737 +f 7951/8700 7931/8717 7957/8732 7977/8738 +f 7945/8703 7938/8706 7964/8739 7971/8740 +f 7936/8722 7947/8720 7973/8735 7962/8741 +f 7955/8701 7951/8700 7977/8738 7981/8742 +f 7933/8702 7955/8701 7981/8742 7959/8743 +f 7940/8718 7939/8723 7965/8744 7966/8733 +f 7937/8709 7936/8722 7962/8741 7963/8745 +f 7950/8698 7932/8712 7958/8746 7976/8747 +f 7948/8707 7933/8702 7959/8743 7974/8728 +f 11732/8704 7945/8703 7971/8740 11734/8748 +f 7938/8706 7943/8705 7969/8749 7964/8739 +f 7944/8710 7937/8709 7963/8745 7970/8724 +f 7932/8712 7930/8711 7956/8737 7958/8746 +f 7934/8699 7950/8698 7976/8747 7960/8726 +f 7952/8715 7949/8708 7975/8729 7978/8736 +f 7957/8732 7979/8731 8005/8750 7983/8751 +f 7967/8734 7966/8733 7992/8752 7993/8753 +f 7973/8735 7961/8727 7987/8754 7999/8755 +f 7956/8737 7978/8736 8004/8756 7982/8757 +f 7977/8738 7957/8732 7983/8751 8003/8758 +f 7971/8740 7964/8739 7990/8759 7997/8760 +f 7962/8741 7973/8735 7999/8755 7988/8761 +f 7981/8742 7977/8738 8003/8758 8007/8762 +f 7959/8743 7981/8742 8007/8762 7985/8763 +f 7966/8733 7965/8744 7991/8764 7992/8752 +f 7963/8745 7962/8741 7988/8761 7989/8765 +f 7976/8747 7958/8746 7984/8766 8002/8767 +f 7974/8728 7959/8743 7985/8763 8000/8768 +f 11734/8748 7971/8740 7997/8760 11736/8769 +f 7964/8739 7969/8749 7995/8770 7990/8759 +f 7970/8724 7963/8745 7989/8765 7996/8771 +f 7958/8746 7956/8737 7982/8757 7984/8766 +f 7960/8726 7976/8747 8002/8767 7986/8772 +f 7978/8736 7975/8729 8001/8773 8004/8756 +f 11733/8725 7970/8724 7996/8771 11735/8774 +f 7961/8727 7960/8726 7986/8772 7987/8754 +f 7975/8729 7974/8728 8000/8768 8001/8773 +f 7979/8731 7980/8730 8006/8775 8005/8750 +f 11914/8776 8008/8777 8043/8778 8044/8779 +f 8027/8780 8039/8781 8012/8782 8024/8783 +f 8035/8784 11739/8785 11920/8786 8016/8787 +f 11919/8788 11918/8789 11737/8790 11738/8791 +f 8040/8792 8041/8793 8010/8794 8011/8795 +f 11738/8791 8033/8796 8018/8797 11919/8788 +f 8011/8795 11915/8798 8045/8799 8040/8792 +f 8008/8777 8009/8800 8042/8801 8043/8778 +f 8017/8802 8020/8803 8031/8804 8034/8805 +f 11918/8789 8015/8806 8036/8807 11737/8790 +f 11923/8808 11921/8809 11740/8810 11742/8811 +f 8014/8812 8022/8813 8029/8814 8037/8815 +f 8016/8787 8017/8802 8034/8805 8035/8784 +f 11915/8798 8013/8816 8038/8817 8045/8799 +f 8022/8813 8021/8818 8030/8819 8029/8814 +f 8047/8820 8036/8807 8015/8806 11917/8821 +f 8025/8822 8014/8812 8037/8815 8026/8823 +f 8024/8783 11914/8776 8044/8779 8027/8780 +f 11742/8811 8031/8804 8020/8803 11923/8808 +f 11917/8821 11916/8824 8046/8825 8047/8820 +f 8026/8823 8038/8817 8013/8816 8025/8822 +f 8021/8818 11922/8826 11741/8827 8030/8819 +f 8028/8828 8032/8829 8019/8830 8023/8831 +f 8039/8781 8046/8825 11916/8824 8012/8782 +f 11739/8785 8028/8828 8023/8831 11920/8786 +f 8009/8800 8010/8794 8041/8793 8042/8801 +f 11922/8826 8019/8830 8032/8829 11741/8827 +f 11742/8811 11740/8810 7984/8766 7982/8757 +f 7996/8771 7989/8765 8046/8825 8039/8781 +f 8045/8799 8038/8817 7997/8760 7990/8759 +f 8000/8768 7985/8763 11739/8785 8035/8784 +f 11740/8810 8033/8796 8002/8767 7984/8766 +f 11736/8769 7997/8760 8038/8817 8026/8823 +f 8047/8820 8046/8825 7989/8765 7988/8761 +f 8040/8792 8045/8799 7990/8759 7995/8770 +f 7985/8763 8007/8762 8028/8828 11739/8785 +f 8007/8762 8003/8758 8032/8829 8028/8828 +f 8027/8780 8044/8779 7991/8764 11735/8774 +f 7988/8761 7999/8755 8036/8807 8047/8820 +f 8044/8779 8043/8778 7992/8752 7991/8764 +f 11741/8827 8032/8829 8003/8758 7983/8751 +f 7982/8757 8004/8756 8031/8804 11742/8811 +f 7995/8770 7994/8832 8041/8793 8040/8792 +f 11737/8790 8036/8807 7999/8755 7987/8754 +f 8043/8778 8042/8801 7993/8753 7992/8752 +f 8030/8819 11741/8827 7983/8751 8005/8750 +f 6994/8833 7604/8226 7605/8225 7029/8834 +f 11848/8835 11852/8239 7615/8238 7575/8298 +f 7572/8297 7614/8237 7459/8381 7635/8836 +f 6973/8837 7609/8236 7604/8226 6994/8833 +f 7609/8236 6973/8837 7607/8234 7606/8231 +f 7606/8231 7607/8234 6929/8233 6916/7475 +f 6873/8838 6860/7476 6916/7475 6929/8233 +f 11509/7407 11501/8839 6817/8840 6820/7358 +f 6816/8841 6819/7359 6820/7358 6817/8840 +f 11476/8842 11477/7361 6819/7359 6816/8841 +f 13375/8472 13367/8477 7758/8525 7759/8493 +f 7759/8493 7758/8525 7784/8524 7785/8490 +f 7785/8547 7784/8580 7810/8579 7811/8544 +f 8143/8843 8089/8844 8079/8845 8142/8846 +f 8142/8846 8079/8845 8069/8847 8141/8848 +f 8141/8848 8069/8847 8059/8849 8140/8850 +f 8140/8850 8059/8849 8049/8851 8139/8852 +f 8139/8852 8049/8851 8120/8853 8147/8854 +f 8354/8855 8348/8856 8094/8857 8144/8858 +f 8144/8858 8094/8857 8130/8859 8148/8860 +f 8148/8860 8130/8859 8104/8861 8145/8862 +f 8145/8862 8104/8861 8114/8863 8146/8864 +f 8089/8844 8088/8865 8078/8866 8079/8845 +f 8079/8845 8078/8866 8068/8867 8069/8847 +f 8069/8847 8068/8867 8058/8868 8059/8849 +f 8059/8849 8058/8868 8050/8869 8049/8851 +f 8049/8851 8050/8869 8121/8870 8120/8853 +f 8348/8856 8347/8871 8095/8872 8094/8857 +f 8094/8857 8095/8872 8131/8873 8130/8859 +f 8130/8859 8131/8873 8105/8874 8104/8861 +f 8104/8861 8105/8874 8115/8875 8114/8863 +f 8081/8876 8082/8877 8072/8878 8071/8879 +f 8071/8879 8072/8878 8062/8880 8061/8881 +f 8061/8881 8062/8880 8052/8882 8051/8883 +f 8051/8883 8052/8882 8123/8884 8122/8885 +f 8353/8886 8352/8887 8097/8888 8096/8889 +f 8096/8889 8097/8888 8133/8890 8132/8891 +f 8132/8891 8133/8890 8107/8892 8106/8893 +f 8106/8893 8107/8892 8117/8894 8116/8895 +f 8159/8896 8193/8897 8191/8898 8217/8899 +f 8082/8877 8083/8900 8073/8901 8072/8878 +f 8072/8878 8073/8901 8063/8902 8062/8880 +f 8062/8880 8063/8902 8053/8903 8052/8882 +f 8052/8882 8053/8903 8124/8904 8123/8884 +f 8352/8887 8351/8905 8098/8906 8097/8888 +f 8097/8888 8098/8906 8134/8907 8133/8890 +f 8133/8890 8134/8907 8326/8908 8336/8909 +f 8107/8892 8108/8910 8118/8911 8117/8894 +f 1400/1665 8187/8912 8209/8913 1529/1666 +f 8083/8900 8084/8914 8074/8915 8073/8901 +f 8073/8901 8074/8915 8064/8916 8063/8902 +f 8063/8902 8064/8916 8054/8917 8053/8903 +f 8053/8903 8054/8917 8125/8918 8124/8904 +f 8351/8905 8350/8919 8099/8920 8098/8906 +f 8098/8906 8099/8920 8135/8921 8134/8907 +f 8108/8910 8336/8909 8316/8922 8325/8923 +f 8187/8912 8191/8898 8193/8897 8209/8913 +f 8084/8914 8085/8924 8075/8925 8074/8915 +f 8074/8915 8075/8925 8065/8926 8064/8916 +f 8064/8916 8065/8926 8055/8927 8054/8917 +f 8054/8917 8055/8927 8126/8928 8125/8918 +f 8350/8919 8357/8929 8100/8930 8099/8920 +f 8099/8920 8100/8930 8136/8931 8135/8921 +f 8135/8921 8136/8931 8110/8932 8109/8933 +f 8082/8877 8159/8896 8217/8899 8083/8900 +f 8085/8924 8086/8934 8076/8935 8075/8925 +f 8075/8925 8076/8935 8066/8936 8065/8926 +f 8065/8926 8066/8936 8056/8937 8055/8927 +f 8055/8927 8056/8937 8127/8938 8126/8928 +f 8357/8929 8356/8939 8101/8940 8100/8930 +f 8100/8930 8101/8940 8137/8941 8136/8931 +f 8136/8931 8137/8941 8111/8942 8110/8932 +f 1402/1698 1403/1701 8161/8943 8163/8944 +f 8086/8934 8087/8945 8077/8946 8076/8935 +f 8076/8935 8077/8946 8067/8947 8066/8936 +f 8066/8936 8067/8947 8057/8948 8056/8937 +f 8056/8937 8057/8948 8128/8949 8127/8938 +f 8356/8939 8355/8950 8102/8951 8101/8940 +f 8101/8940 8102/8951 8138/8952 8137/8941 +f 8137/8941 8138/8952 8112/8953 8111/8942 +f 1403/1701 1473/1712 8160/8954 8161/8943 +f 1401/1713 1402/1698 8163/8944 8164/8955 +f 1400/1665 1401/1713 8164/8955 8187/8912 +f 8151/8956 8152/8957 7499/8115 7634/8275 +f 8090/8958 8143/8843 8142/8846 8080/8959 +f 8080/8959 8142/8846 8141/8848 8070/8960 +f 8070/8960 8141/8848 8140/8850 8060/8961 +f 8060/8961 8140/8850 8139/8852 8048/8962 +f 8048/8962 8139/8852 8147/8854 8119/8963 +f 8349/8964 8354/8855 8144/8858 8093/8965 +f 8093/8965 8144/8858 8148/8860 8129/8966 +f 8129/8966 8148/8860 8145/8862 8103/8967 +f 8103/8967 8145/8862 8146/8864 8113/8968 +f 8187/8912 8164/8955 8192/8969 8191/8898 +f 8161/8943 8160/8954 8212/8970 8211/8971 +f 8092/8972 8194/8973 8159/8896 8082/8877 +f 8163/8944 8161/8943 8211/8971 8210/8974 +f 8164/8955 8163/8944 8210/8974 8192/8969 +f 8194/8973 8162/8975 8193/8897 8159/8896 +f 8091/8976 8092/8972 8082/8877 8081/8876 +f 8150/8977 8149/8978 7525/8112 7512/8113 +f 8195/8979 8150/8977 7512/8113 7526/8108 +f 8149/8978 8196/8980 7528/8257 7525/8112 +f 8204/8981 8203/8982 8089/8844 8143/8843 +f 8153/8983 8197/8984 7494/8082 7493/8081 +f 8185/8985 8184/8986 7552/8146 7546/8139 +f 8180/8987 8181/8988 7710/8170 7738/8415 +f 8186/8989 8185/8985 7546/8139 7540/8131 +f 8181/8988 1497/8990 859/8171 7710/8170 +f 7738/8415 7564/8160 8182/8991 8180/8987 +f 8188/8992 8186/8989 7540/8131 7534/8123 +f 8190/8993 8189/8994 7480/8068 7479/8067 +f 8183/8995 8182/8991 7564/8160 7558/8153 +f 8189/8994 8188/8992 7534/8123 7480/8068 +f 8184/8986 8183/8995 7558/8153 7552/8146 +f 8171/8996 8172/8997 8188/8992 8189/8994 +f 8176/8998 8177/8999 8182/8991 8183/8995 +f 8170/9000 8171/8996 8189/8994 8190/8993 +f 8175/9001 8176/8998 8183/8995 8184/8986 +f 8174/9002 8175/9001 8184/8986 8185/8985 +f 8173/9003 8174/9002 8185/8985 8186/8989 +f 8179/9004 8178/9005 8181/8988 8180/8987 +f 8172/8997 8173/9003 8186/8989 8188/8992 +f 8180/8987 8182/8991 8177/8999 8179/9004 +f 8178/9005 1492/9006 1497/8990 8181/8988 +f 8165/9007 8158/9008 8175/9001 8174/9002 +f 8158/9008 8157/9009 8176/8998 8175/9001 +f 8157/9009 8156/9010 8177/8999 8176/8998 +f 8169/9011 8168/9012 8171/8996 8170/9000 +f 8179/9004 8177/8999 8156/9010 8154/9013 +f 8168/9012 8167/9014 8172/8997 8171/8996 +f 8154/9013 8155/9015 8178/9005 8179/9004 +f 8167/9014 8166/9016 8173/9003 8172/8997 +f 8166/9016 8165/9007 8174/9002 8173/9003 +f 8202/9017 8203/8982 8152/8957 8151/8956 +f 8201/9018 8200/9019 8149/8978 8150/8977 +f 8199/9020 8201/9018 8150/8977 8195/8979 +f 8200/9019 8198/9021 8196/8980 8149/8978 +f 7493/8081 7499/8115 8152/8957 8153/8983 +f 8204/8981 8205/9022 8197/8984 8153/8983 +f 8088/8865 8089/8844 8203/8982 8202/9017 +f 8190/8993 8197/8984 8205/9022 8170/9000 +f 8143/8843 8090/8958 8205/9022 8204/8981 +f 8092/8972 8091/8976 8198/9021 8200/9019 +f 8153/8983 8152/8957 8203/8982 8204/8981 +f 8162/8975 8194/8973 8201/9018 8199/9020 +f 8194/8973 8092/8972 8200/9019 8201/9018 +f 8170/9000 8205/9022 8090/8958 8169/9011 +f 8190/8993 7479/8067 7494/8082 8197/8984 +f 7524/8107 816/978 1523/1784 8206/9023 +f 8206/9023 1523/1784 1525/1786 8207/9024 +f 8208/9025 1527/1788 1529/1666 8209/8913 +f 8192/8969 8210/8974 8215/9026 8216/9027 +f 8210/8974 8211/8971 8214/9028 8215/9026 +f 8211/8971 8212/8970 8213/9029 8214/9028 +f 8191/8898 8192/8969 8216/9027 8217/8899 +f 8195/8979 7526/8108 7524/8107 8206/9023 +f 8207/9024 8199/9020 8195/8979 8206/9023 +f 8199/9020 8207/9024 8208/9025 8162/8975 +f 8162/8975 8208/9025 8209/8913 8193/8897 +f 8217/8899 8216/9027 8084/8914 8083/8900 +f 8214/9028 8213/9029 8087/8945 8086/8934 +f 8215/9026 8214/9028 8086/8934 8085/8924 +f 8216/9027 8215/9026 8085/8924 8084/8914 +f 8219/9030 1540/9031 1468/9032 8155/9015 +f 8226/9033 8225/9034 8167/9014 8168/9012 +f 8154/9013 8156/9010 8220/9035 8218/9036 +f 8225/9034 8224/9037 8166/9016 8167/9014 +f 8218/9036 8219/9030 8155/9015 8154/9013 +f 8224/9037 8223/9038 8165/9007 8166/9016 +f 8223/9038 8222/9039 8158/9008 8165/9007 +f 8222/9039 8221/9040 8157/9009 8158/9008 +f 8221/9040 8220/9035 8156/9010 8157/9009 +f 8227/9041 8226/9033 8168/9012 8169/9011 +f 8233/9042 8232/9043 8222/9039 8223/9038 +f 8232/9043 8231/9044 8221/9040 8222/9039 +f 8231/9044 8230/9045 8220/9035 8221/9040 +f 8237/9046 8236/9047 8226/9033 8227/9041 +f 8229/9048 1551/9049 1540/9031 8219/9030 +f 8236/9047 8235/9050 8225/9034 8226/9033 +f 8218/9036 8220/9035 8230/9045 8228/9051 +f 8235/9050 8234/9052 8224/9037 8225/9034 +f 8228/9051 8229/9048 8219/9030 8218/9036 +f 8234/9052 8233/9042 8223/9038 8224/9037 +f 8244/9053 8238/9054 8239/9055 8245/9056 +f 8248/9057 8242/9058 8243/9059 8249/9060 +f 8245/9056 8239/9055 8240/9061 8246/9062 +f 10505/9063 10504/9064 8241/9065 8247/9066 +f 8247/9066 8241/9065 8242/9058 8248/9057 +f 8250/9067 8244/9053 8245/9056 8251/9068 +f 8254/9069 8248/9057 8249/9060 8255/9070 +f 8251/9068 8245/9056 8246/9062 8252/9071 +f 10506/9072 10505/9063 8247/9066 8253/9073 +f 8253/9073 8247/9066 8248/9057 8254/9069 +f 8256/9074 8250/9067 8251/9068 8257/9075 +f 8260/9076 8254/9069 8255/9070 8261/9077 +f 8257/9075 8251/9068 8252/9071 8258/9078 +f 10507/9079 10506/9072 8253/9073 8259/9080 +f 8259/9080 8253/9073 8254/9069 8260/9076 +f 8262/9081 8256/9074 8257/9075 8263/9082 +f 8266/9083 8260/9076 8261/9077 8267/9084 +f 8263/9082 8257/9075 8258/9078 8264/9085 +f 10508/9086 10507/9079 8259/9080 8265/9087 +f 8265/9087 8259/9080 8260/9076 8266/9083 +f 8268/9088 8262/9081 8263/9082 8269/9089 +f 8272/9090 8266/9083 8267/9084 8273/9091 +f 8269/9089 8263/9082 8264/9085 8270/9092 +f 10509/9093 10508/9086 8265/9087 8271/9094 +f 8271/9094 8265/9087 8266/9083 8272/9090 +f 1596/9095 8268/9088 8269/9089 1597/9096 +f 1600/9097 8272/9090 8273/9091 1601/9098 +f 1597/9096 8269/9089 8270/9092 1598/9099 +f 3844/9100 10509/9093 8271/9094 1599/9101 +f 1599/9101 8271/9094 8272/9090 1600/9097 +f 8238/9054 8244/9053 8232/9043 8233/9042 +f 8244/9053 8250/9067 8231/9044 8232/9043 +f 8250/9067 8256/9074 8230/9045 8231/9044 +f 8228/9051 8230/9045 8256/9074 8262/9081 +f 8262/9081 8268/9088 8229/9048 8228/9051 +f 8268/9088 1596/9095 1551/9049 8229/9048 +f 8070/8960 8237/9046 8227/9041 8080/8959 +f 8080/8959 8227/9041 8169/9011 8090/8958 +f 8277/9102 8276/9103 8236/9047 8237/9046 +f 8276/9103 8275/9104 8235/9050 8236/9047 +f 8275/9104 8274/9105 8234/9052 8235/9050 +f 8303/9106 8313/9107 8359/9108 8358/9109 +f 8281/9110 8280/9111 8276/9103 8277/9102 +f 8366/9112 8285/9113 8286/9114 8365/9115 +f 8280/9111 8279/9116 8275/9104 8276/9103 +f 8365/9115 8286/9114 8287/9117 8364/9118 +f 8279/9116 8278/9119 8274/9105 8275/9104 +f 8340/9120 8303/9106 8358/9109 8362/9121 +f 8285/9113 8339/9122 8341/9123 8295/9124 +f 10510/9125 10515/9126 8339/9122 8285/9113 +f 8291/9127 8290/9128 8280/9111 8281/9110 +f 8285/9113 8295/9124 8296/9129 8286/9114 +f 8290/9128 8289/9130 8279/9116 8280/9111 +f 8286/9114 8296/9129 8297/9131 8287/9117 +f 8289/9130 8288/9132 8278/9119 8279/9116 +f 8288/9132 8292/9133 8282/9134 8278/9119 +f 8292/9133 8293/9135 8283/9136 8282/9134 +f 10515/9126 10511/9137 8304/9138 8339/9122 +f 8339/9122 8304/9138 8305/9139 8341/9123 +f 8343/9140 8342/9141 8290/9128 8291/9127 +f 8342/9141 8344/9142 8289/9130 8290/9128 +f 8344/9142 8345/9143 8288/9132 8289/9130 +f 8345/9143 8346/9144 8292/9133 8288/9132 +f 8346/9144 8340/9120 8293/9135 8292/9133 +f 8312/9145 8313/9107 8303/9106 8302/9146 +f 10511/9137 10512/9147 8314/9148 8304/9138 +f 8304/9138 8314/9148 8315/9149 8305/9139 +f 8311/9150 8310/9151 8300/9152 8301/9153 +f 8338/9154 8337/9155 8326/8908 8109/8933 +f 8310/9151 8309/9156 8299/9157 8300/9152 +f 8315/9149 8316/8922 8337/9155 8305/9139 +f 8309/9156 8308/9158 8298/9159 8299/9157 +f 8308/9158 8312/9145 8302/9146 8298/9159 +f 8321/9160 8322/9161 8313/9107 8312/9145 +f 10512/9147 10513/9162 8323/9163 8314/9148 +f 8314/9148 8323/9163 8324/9164 8315/9149 +f 8320/9165 8319/9166 8310/9151 8311/9150 +f 8315/9149 8324/9164 8325/8923 8316/8922 +f 8319/9166 8318/9167 8309/9156 8310/9151 +f 8107/8892 8133/8890 8336/8909 8108/8910 +f 8318/9167 8317/9168 8308/9158 8309/9156 +f 8317/9168 8321/9160 8312/9145 8308/9158 +f 8327/9169 8331/9170 8321/9160 8317/9168 +f 8331/9170 8332/9171 8322/9161 8321/9160 +f 10513/9162 10514/9172 8333/9173 8323/9163 +f 8323/9163 8333/9173 8334/9174 8324/9164 +f 8330/9175 8329/9176 8319/9166 8320/9165 +f 8324/9164 8334/9174 8335/9177 8325/8923 +f 8329/9176 8328/9178 8318/9167 8319/9166 +f 8325/8923 8335/9177 8118/8911 8108/8910 +f 8328/9178 8327/9169 8317/9168 8318/9167 +f 8110/8932 8111/8942 8307/9179 8306/9180 +f 8326/8908 8337/9155 8316/8922 8336/8909 +f 8326/8908 8134/8907 8135/8921 8109/8933 +f 8338/9154 8109/8933 8110/8932 8306/9180 +f 8293/9135 8340/9120 8362/9121 8284/9181 +f 8301/9153 8300/9152 8342/9141 8343/9140 +f 8300/9152 8299/9157 8344/9142 8342/9141 +f 8341/9123 8305/9139 8337/9155 8338/9154 +f 8299/9157 8298/9159 8345/9143 8344/9142 +f 8298/9159 8302/9146 8346/9144 8345/9143 +f 8302/9146 8303/9106 8340/9120 8346/9144 +f 8125/8918 8126/8928 8357/8929 8350/8919 +f 8123/8884 8124/8904 8351/8905 8352/8887 +f 8147/8854 8120/8853 8348/8856 8354/8855 +f 8119/8963 8147/8854 8354/8855 8349/8964 +f 8124/8904 8125/8918 8350/8919 8351/8905 +f 8120/8853 8121/8870 8347/8871 8348/8856 +f 8122/8885 8123/8884 8352/8887 8353/8886 +f 8127/8938 8128/8949 8355/8950 8356/8939 +f 8126/8928 8127/8938 8356/8939 8357/8929 +f 8295/9124 8341/9123 8338/9154 8306/9180 +f 8060/8961 8277/9102 8237/9046 8070/8960 +f 8048/8962 8281/9110 8277/9102 8060/8961 +f 8281/9110 8048/8962 8119/8963 8291/9127 +f 8349/8964 8343/9140 8291/9127 8119/8963 +f 8343/9140 8349/8964 8093/8965 8301/9153 +f 8301/9153 8093/8965 8129/8966 8311/9150 +f 8103/8967 8320/9165 8311/9150 8129/8966 +f 8320/9165 8103/8967 8113/8968 8330/9175 +f 8306/9180 8307/9179 8296/9129 8295/9124 +f 8313/9107 8322/9161 8360/9182 8359/9108 +f 8322/9161 8332/9171 8361/9183 8360/9182 +f 10537/9184 10510/9125 8285/9113 8366/9112 +f 8307/9179 8363/9185 8297/9131 8296/9129 +f 8307/9179 8111/8942 8112/8953 8363/9185 +f 8294/9186 8283/9136 8293/9135 8284/9181 +f 8333/9173 8380/9187 8381/9188 8334/9174 +f 8377/9189 8376/9190 8329/9176 8330/9175 +f 8146/8864 8114/8863 8368/9191 8373/9192 +f 8334/9174 8381/9188 8382/9193 8335/9177 +f 8383/9194 8361/9183 8332/9171 8379/9195 +f 8376/9190 8375/9196 8328/9178 8329/9176 +f 8114/8863 8115/8875 8369/9197 8368/9191 +f 8375/9196 8374/9198 8327/9169 8328/9178 +f 8373/9192 8367/9199 8113/8968 8146/8864 +f 8374/9198 8378/9200 8331/9170 8327/9169 +f 8378/9200 8379/9195 8332/9171 8331/9170 +f 8367/9199 8377/9189 8330/9175 8113/8968 +f 8116/8895 8117/8894 8371/9201 8370/9202 +f 10514/9172 10516/9203 8380/9187 8333/9173 +f 8117/8894 8118/8911 8372/9204 8371/9201 +f 8335/9177 8382/9193 8372/9204 8118/8911 +f 8380/9187 8397/9205 8398/9206 8381/9188 +f 8394/9207 8393/9208 8376/9190 8377/9189 +f 8368/9191 8369/9197 8386/9209 8385/9210 +f 8381/9188 8398/9206 8399/9211 8382/9193 +f 8393/9208 8392/9212 8375/9196 8376/9190 +f 8382/9193 8399/9211 8389/9213 8372/9204 +f 8392/9212 8391/9214 8374/9198 8375/9196 +f 8384/9215 8394/9207 8377/9189 8367/9199 +f 8391/9214 8395/9216 8378/9200 8374/9198 +f 8370/9202 8371/9201 8388/9217 8387/9218 +f 8400/9219 8383/9194 8379/9195 8396/9220 +f 8395/9216 8396/9220 8379/9195 8378/9200 +f 8371/9201 8372/9204 8389/9213 8388/9217 +f 10516/9203 10517/9221 8397/9205 8380/9187 +f 8390/9222 8384/9215 8367/9199 8373/9192 +f 8373/9192 8368/9191 8385/9210 8390/9222 +f 8398/9206 8415/9223 8416/9224 8399/9211 +f 8410/9225 8409/9226 8392/9212 8393/9208 +f 8399/9211 8416/9224 8406/9227 8389/9213 +f 8409/9226 8408/9228 8391/9214 8392/9212 +f 8401/9229 8411/9230 8394/9207 8384/9215 +f 8408/9228 8412/9231 8395/9216 8391/9214 +f 8387/9218 8388/9217 8405/9232 8404/9233 +f 8417/9234 8400/9219 8396/9220 8413/9235 +f 8412/9231 8413/9235 8396/9220 8395/9216 +f 8388/9217 8389/9213 8406/9227 8405/9232 +f 10517/9221 10518/9236 8414/9237 8397/9205 +f 8407/9238 8401/9229 8384/9215 8390/9222 +f 8390/9222 8385/9210 8402/9239 8407/9238 +f 8397/9205 8414/9237 8415/9223 8398/9206 +f 8411/9230 8410/9225 8393/9208 8394/9207 +f 8385/9210 8386/9209 8403/9240 8402/9239 +f 8416/9224 8433/9241 8423/9242 8406/9227 +f 8426/9243 8425/9244 8408/9228 8409/9226 +f 8418/9245 8428/9246 8411/9230 8401/9229 +f 8425/9244 8429/9247 8412/9231 8408/9228 +f 8404/9233 8405/9232 8422/9248 8421/9249 +f 8434/9250 8417/9234 8413/9235 8430/9251 +f 8429/9247 8430/9251 8413/9235 8412/9231 +f 8405/9232 8406/9227 8423/9242 8422/9248 +f 10518/9236 10519/9252 8431/9253 8414/9237 +f 8424/9254 8418/9245 8401/9229 8407/9238 +f 8407/9238 8402/9239 8419/9255 8424/9254 +f 8414/9237 8431/9253 8432/9256 8415/9223 +f 8428/9246 8427/9257 8410/9225 8411/9230 +f 8402/9239 8403/9240 8420/9258 8419/9255 +f 8415/9223 8432/9256 8433/9241 8416/9224 +f 8427/9257 8426/9243 8409/9226 8410/9225 +f 8458/9259 8442/9260 8443/9261 8459/9262 +f 8465/9263 8449/9264 8450/9265 8466/9266 +f 8459/9262 8443/9261 8444/9267 8460/9268 +f 8451/9269 8466/9266 8450/9265 8435/9270 +f 8460/9268 8444/9267 8445/9271 8461/9272 +f 8451/9269 8435/9270 8436/9273 8452/9274 +f 8461/9272 8445/9271 8446/9275 8462/9276 +f 8455/9277 8439/9278 8440/9279 8456/9280 +f 8452/9274 8436/9273 8437/9281 8453/9282 +f 8462/9276 8446/9275 8447/9283 8463/9284 +f 8456/9280 8440/9279 8441/9285 8457/9286 +f 8454/9287 8438/9288 8439/9278 8455/9277 +f 8463/9284 8447/9283 8448/9289 8464/9290 +f 8457/9286 8441/9285 8442/9260 8458/9259 +f 8453/9282 8437/9281 8438/9288 8454/9287 +f 8464/9290 8448/9289 8449/9264 8465/9263 +f 8465/9263 8466/9266 8451/9269 8452/9274 +f 8464/9290 8465/9263 8452/9274 8453/9282 +f 8463/9284 8464/9290 8453/9282 8454/9287 +f 8462/9276 8463/9284 8454/9287 8455/9277 +f 8455/9277 8456/9280 8461/9272 8462/9276 +f 8456/9280 8457/9286 8460/9268 8461/9272 +f 8457/9286 8458/9259 8459/9262 8460/9268 +f 8442/9260 8474/9291 8475/9292 8443/9261 +f 8449/9264 8481/9293 8482/9294 8450/9265 +f 8443/9261 8475/9292 8476/9295 8444/9267 +f 8435/9270 8450/9265 8482/9294 8467/9296 +f 8444/9267 8476/9295 8477/9297 8445/9271 +f 8435/9270 8467/9296 8468/9298 8436/9273 +f 8445/9271 8477/9297 8478/9299 8446/9275 +f 8439/9278 8471/9300 8472/9301 8440/9279 +f 8436/9273 8468/9298 8469/9302 8437/9281 +f 8446/9275 8478/9299 8479/9303 8447/9283 +f 8440/9279 8472/9301 8473/9304 8441/9285 +f 8438/9288 8470/9305 8471/9300 8439/9278 +f 8447/9283 8479/9303 8480/9306 8448/9289 +f 8441/9285 8473/9304 8474/9291 8442/9260 +f 8437/9281 8469/9302 8470/9305 8438/9288 +f 8448/9289 8480/9306 8481/9293 8449/9264 +f 8467/9296 8482/9294 8498/9307 8483/9308 +f 8476/9295 8492/9309 8493/9310 8477/9297 +f 8467/9296 8483/9308 8484/9311 8468/9298 +f 8477/9297 8493/9310 8494/9312 8478/9299 +f 8471/9300 8487/9313 8488/9314 8472/9301 +f 8468/9298 8484/9311 8485/9315 8469/9302 +f 8478/9299 8494/9312 8495/9316 8479/9303 +f 8472/9301 8488/9314 8489/9317 8473/9304 +f 8470/9305 8486/9318 8487/9313 8471/9300 +f 8479/9303 8495/9316 8496/9319 8480/9306 +f 8473/9304 8489/9317 8490/9320 8474/9291 +f 8469/9302 8485/9315 8486/9318 8470/9305 +f 8480/9306 8496/9319 8497/9321 8481/9293 +f 8474/9291 8490/9320 8491/9322 8475/9292 +f 8481/9293 8497/9321 8498/9307 8482/9294 +f 8475/9292 8491/9322 8492/9309 8476/9295 +f 8548/9323 8513/9324 8514/9325 8547/9326 +f 8550/9327 8507/9328 8508/9329 8549/9330 +f 8551/9331 8547/9326 8514/9325 8499/9332 +f 8549/9330 8508/9329 8509/9333 8552/9334 +f 8551/9331 8499/9332 8500/9335 8553/9336 +f 8552/9334 8509/9333 8510/9337 8554/9338 +f 8556/9339 8503/9340 8504/9341 8555/9342 +f 8553/9336 8500/9335 8501/9343 8557/9344 +f 8554/9338 8510/9337 8511/9345 8558/9346 +f 8555/9342 8504/9341 8505/9347 8559/9348 +f 8560/9349 8502/9350 8503/9340 8556/9339 +f 8558/9346 8511/9345 8512/9351 8561/9352 +f 8559/9348 8505/9347 8506/9353 8562/9354 +f 8557/9344 8501/9343 8502/9350 8560/9349 +f 8561/9352 8512/9351 8513/9324 8548/9323 +f 8562/9354 8506/9353 8507/9328 8550/9327 +f 8499/9332 8514/9325 8530/9355 8515/9356 +f 8508/9329 8524/9357 8525/9358 8509/9333 +f 8499/9332 8515/9356 8516/9359 8500/9335 +f 8509/9333 8525/9358 8526/9360 8510/9337 +f 8503/9340 8519/9361 8520/9362 8504/9341 +f 8500/9335 8516/9359 8517/9363 8501/9343 +f 8510/9337 8526/9360 8527/9364 8511/9345 +f 8504/9341 8520/9362 8521/9365 8505/9347 +f 8502/9350 8518/9366 8519/9361 8503/9340 +f 8511/9345 8527/9364 8528/9367 8512/9351 +f 8505/9347 8521/9365 8522/9368 8506/9353 +f 8501/9343 8517/9363 8518/9366 8502/9350 +f 8512/9351 8528/9367 8529/9369 8513/9324 +f 8506/9353 8522/9368 8523/9370 8507/9328 +f 8513/9324 8529/9369 8530/9355 8514/9325 +f 8507/9328 8523/9370 8524/9357 8508/9329 +f 8529/9369 8545/9371 8546/9372 8530/9355 +f 8523/9370 8539/9373 8540/9374 8524/9357 +f 8515/9356 8530/9355 8546/9372 8531/9375 +f 8524/9357 8540/9374 8541/9376 8525/9358 +f 8515/9356 8531/9375 8532/9377 8516/9359 +f 8525/9358 8541/9376 8542/9378 8526/9360 +f 8519/9361 8535/9379 8536/9380 8520/9362 +f 8516/9359 8532/9377 8533/9381 8517/9363 +f 8526/9360 8542/9378 8543/9382 8527/9364 +f 8520/9362 8536/9380 8537/9383 8521/9365 +f 8518/9366 8534/9384 8535/9379 8519/9361 +f 8527/9364 8543/9382 8544/9385 8528/9367 +f 8521/9365 8537/9383 8538/9386 8522/9368 +f 8517/9363 8533/9381 8534/9384 8518/9366 +f 8528/9367 8544/9385 8545/9371 8529/9369 +f 8522/9368 8538/9386 8539/9373 8523/9370 +f 8497/9321 8548/9323 8547/9326 8498/9307 +f 8491/9322 8550/9327 8549/9330 8492/9309 +f 8483/9308 8498/9307 8547/9326 8551/9331 +f 8492/9309 8549/9330 8552/9334 8493/9310 +f 8483/9308 8551/9331 8553/9336 8484/9311 +f 8493/9310 8552/9334 8554/9338 8494/9312 +f 8487/9313 8556/9339 8555/9342 8488/9314 +f 8484/9311 8553/9336 8557/9344 8485/9315 +f 8494/9312 8554/9338 8558/9346 8495/9316 +f 8488/9314 8555/9342 8559/9348 8489/9317 +f 8486/9318 8560/9349 8556/9339 8487/9313 +f 8495/9316 8558/9346 8561/9352 8496/9319 +f 8489/9317 8559/9348 8562/9354 8490/9320 +f 8485/9315 8557/9344 8560/9349 8486/9318 +f 8496/9319 8561/9352 8548/9323 8497/9321 +f 8490/9320 8562/9354 8550/9327 8491/9322 +f 8546/9372 8067/8947 8077/8946 8531/9375 +f 8545/9371 8057/8948 8067/8947 8546/9372 +f 8531/9375 8077/8946 8087/8945 8532/9377 +f 8213/9029 8533/9381 8532/9377 8087/8945 +f 8212/8970 8534/9384 8533/9381 8213/9029 +f 8563/9387 8564/9388 8535/9379 8534/9384 +f 8564/9388 8565/9389 8536/9380 8535/9379 +f 8565/9389 8566/9390 8537/9383 8536/9380 +f 1891/2153 1892/2154 8564/9388 8563/9387 +f 1892/2154 1893/2155 8565/9389 8564/9388 +f 1893/2155 1894/2156 8566/9390 8565/9389 +f 1473/1712 1891/2153 8563/9387 8160/8954 +f 8160/8954 8563/9387 8534/9384 8212/8970 +f 8057/8948 8545/9371 8544/9385 8128/8949 +f 8355/8950 10720/9391 10589/9392 8102/8951 +f 9482/9393 8674/9394 8571/9395 9460/9396 +f 9481/9397 8642/9398 8573/9399 9459/9400 +f 8639/9401 8641/9402 8572/9403 8607/9404 +f 9930/9405 9926/9406 8579/9407 8608/9408 +f 9934/9409 9925/9410 8578/9411 9462/9412 +f 9935/9413 9927/9414 8580/9415 9461/9416 +f 9485/9417 8679/9418 8570/9419 9457/9420 +f 9486/9421 8680/9422 8568/9423 9458/9424 +f 8682/9425 8685/9426 8569/9427 8606/9428 +f 9627/9429 9613/9430 8584/9431 8656/9432 +f 8669/9433 8607/9404 8572/9403 8676/9434 +f 9629/9435 9614/9436 8583/9437 8667/9438 +f 9936/9439 9616/9440 8590/9441 9929/9442 +f 8634/9443 8586/9444 8576/9445 8631/9446 +f 8681/9447 8588/9448 8568/9423 8680/9422 +f 9928/9449 8585/9450 8580/9415 9927/9414 +f 8640/9451 8587/9452 8573/9399 8642/9398 +f 8656/9453 8584/9454 8567/9455 8658/9456 +f 9929/9457 8590/9458 8575/9459 9924/9460 +f 8636/9461 8575/9459 8590/9458 8635/9462 +f 9483/9463 9460/9396 8571/9395 8677/9464 +f 9484/9465 9459/9400 8573/9399 8675/9466 +f 9480/9467 8627/9468 8697/9469 9489/9470 +f 8624/9471 8630/9472 8701/9473 8700/9474 +f 9623/9475 8620/9476 8696/9477 9635/9478 +f 9475/9479 8629/9480 8702/9481 9490/9482 +f 8627/9468 8624/9471 8700/9474 8697/9469 +f 9470/9483 8616/9484 8591/9485 9465/9486 +f 8601/9487 8605/9488 8591/9485 8593/9489 +f 8619/9490 8617/9491 8594/9492 8595/9493 +f 9618/9494 8601/9495 8593/9496 9634/9497 +f 9469/9498 8618/9499 8597/9500 9466/9501 +f 8727/9502 8599/9503 8596/9504 8736/9505 +f 8621/9506 8615/9507 8592/9508 8598/9509 +f 8618/9499 8621/9506 8598/9509 8597/9500 +f 8597/9500 8598/9509 8600/9510 8603/9511 +f 8598/9509 8592/9508 8610/9512 8600/9510 +f 8674/9394 8639/9401 8607/9404 8571/9395 +f 9925/9410 9930/9405 8608/9408 8578/9411 +f 8679/9418 8682/9425 8606/9428 8570/9419 +f 8732/9513 8735/9514 8611/9515 8655/9516 +f 8677/9464 8571/9395 8607/9404 8669/9433 +f 8723/9517 8734/9518 8612/9519 8670/9520 +f 9933/9521 8728/9522 8614/9523 9931/9524 +f 8736/9505 8596/9504 8622/9525 8726/9526 +f 9466/9501 8597/9500 8603/9511 9468/9527 +f 9634/9497 8593/9496 8620/9476 9623/9475 +f 8595/9493 8594/9492 8604/9528 8602/9529 +f 8593/9489 8591/9485 8616/9484 8620/9530 +f 9465/9486 8591/9485 8605/9488 9467/9531 +f 8724/9532 8695/9533 8623/9534 8731/9535 +f 8696/9536 8702/9481 8629/9480 8625/9537 +f 9489/9470 8697/9469 8618/9499 9469/9498 +f 9635/9478 8696/9477 8625/9538 9624/9539 +f 8697/9469 8700/9474 8621/9506 8618/9499 +f 8698/9540 8699/9541 8617/9491 8619/9490 +f 8700/9474 8701/9473 8615/9507 8621/9506 +f 9490/9482 8702/9481 8616/9484 9470/9483 +f 9494/9542 8753/9543 8627/9468 9480/9467 +f 8754/9544 8752/9545 8630/9472 8624/9471 +f 8758/9546 8751/9547 8654/9548 8729/9549 +f 8609/9550 8637/9551 8632/9552 8577/9553 +f 9616/9440 9625/9554 8635/9555 8590/9441 +f 8678/9556 8634/9443 8631/9446 8675/9466 +f 8668/9557 8636/9461 8635/9462 8667/9558 +f 9463/9559 9471/9560 8633/9561 8582/9562 +f 9464/9563 9472/9564 8631/9446 8576/9445 +f 8582/9562 8633/9561 8637/9551 8609/9550 +f 8728/9522 8725/9565 8638/9566 8614/9523 +f 8665/9567 8664/9568 8659/9569 8644/9570 +f 8749/9571 8750/9572 8628/9573 8626/9574 +f 9478/9575 8663/9576 8661/9577 9473/9578 +f 9650/9579 8755/9580 8652/9581 9628/9582 +f 8694/9583 8652/9584 8648/9585 8692/9586 +f 9630/9587 9626/9588 8645/9589 8672/9590 +f 8722/9591 8730/9592 8643/9593 8671/9594 +f 9458/9424 8568/9423 8663/9576 9478/9575 +f 8657/9595 8665/9567 8644/9570 8660/9596 +f 9479/9597 8657/9595 8660/9596 9474/9598 +f 8633/9561 8677/9464 8669/9433 8637/9551 +f 8666/9599 8646/9600 8661/9577 8663/9576 +f 8730/9592 8732/9513 8655/9516 8643/9593 +f 8672/9601 8645/9602 8662/9603 8673/9604 +f 9495/9605 8756/9606 8629/9480 9475/9479 +f 9471/9560 9483/9463 8677/9464 8633/9561 +f 8753/9543 8754/9544 8624/9471 8627/9468 +f 8644/9570 8659/9569 8641/9402 8639/9401 +f 8720/9607 8729/9549 8654/9548 8691/9608 +f 9457/9420 8570/9419 8657/9595 9479/9597 +f 8606/9428 8569/9427 8664/9568 8665/9567 +f 8588/9448 8666/9599 8663/9576 8568/9423 +f 9632/9609 9628/9582 8652/9581 8694/9610 +f 8755/9611 8756/9606 8648/9585 8652/9584 +f 9473/9578 8661/9577 8642/9398 9481/9397 +f 8645/9602 8656/9453 8658/9456 8662/9603 +f 9626/9588 9627/9429 8656/9432 8645/9589 +f 8570/9419 8606/9428 8665/9567 8657/9595 +f 8587/9452 8678/9556 8675/9466 8573/9399 +f 9625/9554 9629/9435 8667/9438 8635/9555 +f 8637/9551 8669/9433 8676/9434 8632/9552 +f 8734/9518 8722/9591 8671/9594 8612/9519 +f 8583/9612 8672/9601 8673/9604 8574/9613 +f 9472/9564 9484/9465 8675/9466 8631/9446 +f 8574/9613 8668/9557 8667/9558 8583/9612 +f 8725/9565 8723/9517 8670/9520 8638/9566 +f 9614/9436 9630/9587 8672/9590 8583/9437 +f 9474/9598 8660/9596 8674/9394 9482/9393 +f 8660/9596 8644/9570 8639/9401 8674/9394 +f 8646/9600 8640/9451 8642/9398 8661/9577 +f 9487/9614 8687/9615 8679/9418 9485/9417 +f 9488/9616 8688/9617 8680/9422 9486/9421 +f 8690/9618 8693/9619 8685/9426 8682/9425 +f 8689/9620 8681/9447 8680/9422 8688/9617 +f 8687/9615 8690/9618 8682/9425 8679/9418 +f 8584/9454 8686/9621 8684/9622 8567/9455 +f 8735/9514 8721/9623 8683/9624 8611/9515 +f 9613/9430 9631/9625 8686/9626 8584/9431 +f 8686/9621 8694/9583 8692/9586 8684/9622 +f 8721/9623 8720/9607 8691/9608 8683/9624 +f 9631/9625 9632/9609 8694/9610 8686/9626 +f 9477/9627 8647/9628 8687/9615 9487/9614 +f 9476/9629 8649/9630 8688/9617 9488/9616 +f 8653/9631 8650/9632 8693/9619 8690/9618 +f 8651/9633 8689/9620 8688/9617 8649/9630 +f 8647/9628 8653/9631 8690/9618 8687/9615 +f 8626/9574 8628/9573 8699/9541 8698/9540 +f 8726/9526 8622/9525 8695/9533 8724/9532 +f 8620/9530 8616/9484 8702/9481 8696/9536 +f 8655/9516 8611/9515 8703/9634 8713/9635 +f 8670/9520 8612/9519 8704/9636 8715/9637 +f 9931/9524 8614/9523 8706/9638 9932/9639 +f 8622/9525 8709/9640 8719/9641 8695/9533 +f 8599/9503 8708/9642 8707/9643 8596/9504 +f 8596/9504 8707/9643 8709/9640 8622/9525 +f 8695/9533 8719/9641 8710/9644 8623/9534 +f 8614/9523 8638/9566 8711/9645 8706/9638 +f 8751/9547 8757/9646 8714/9647 8654/9548 +f 8671/9594 8643/9593 8712/9648 8716/9649 +f 8691/9608 8654/9548 8714/9647 8718/9650 +f 8643/9593 8655/9516 8713/9635 8712/9648 +f 8638/9566 8670/9520 8715/9637 8711/9645 +f 8612/9519 8671/9594 8716/9649 8704/9636 +f 8611/9515 8683/9624 8717/9651 8703/9634 +f 8683/9624 8691/9608 8718/9650 8717/9651 +f 9640/9652 9638/9653 8723/9517 8725/9565 +f 9937/9654 9622/9655 8728/9522 9933/9521 +f 9622/9655 9640/9652 8725/9565 8728/9522 +f 9636/9656 9643/9657 8729/9549 8720/9607 +f 9617/9658 8736/9505 8726/9526 9642/9659 +f 9620/9660 9637/9661 8722/9591 8734/9518 +f 9619/9662 9639/9663 8721/9623 8735/9514 +f 9633/9664 8724/9532 8731/9535 9644/9665 +f 9645/9666 9619/9662 8735/9514 8732/9513 +f 9638/9653 9620/9660 8734/9518 8723/9517 +f 9646/9667 9645/9666 8732/9513 8730/9592 +f 9642/9659 8726/9526 8724/9532 9633/9664 +f 9641/9668 8727/9502 8736/9505 9617/9658 +f 9639/9663 9636/9656 8720/9607 8721/9623 +f 9651/9669 8758/9546 8729/9549 9643/9657 +f 9637/9661 9646/9667 8730/9592 8722/9591 +f 8746/9670 8738/9671 8599/9672 8727/9673 +f 8603/9511 8600/9510 8737/9674 8741/9675 +f 8708/9676 8599/9672 8738/9671 8745/9677 +f 9468/9527 8603/9511 8741/9675 9491/9678 +f 8739/9679 8743/9680 8605/9488 8601/9487 +f 8602/9529 8604/9528 8742/9681 8740/9682 +f 9641/9683 8602/9529 8740/9682 9648/9684 +f 9467/9531 8605/9488 8743/9680 9492/9685 +f 9647/9686 8739/9679 8601/9487 9618/9687 +f 8600/9510 8610/9512 8744/9688 8737/9674 +f 9648/9684 8740/9682 8748/9689 9649/9690 +f 9647/9686 9649/9690 8748/9689 8739/9679 +f 8739/9679 8748/9689 8747/9691 8743/9680 +f 8748/9689 8740/9682 8742/9681 8747/9691 +f 9493/9692 9491/9678 8741/9675 8737/9674 +f 9493/9692 9492/9685 8743/9680 8747/9691 +f 9476/9629 8650/9632 8753/9543 9494/9542 +f 8653/9631 8647/9628 8752/9545 8754/9544 +f 8731/9535 8623/9534 8751/9547 8758/9546 +f 8651/9633 8649/9630 8750/9572 8749/9571 +f 9624/9539 8625/9538 8755/9580 9650/9579 +f 9477/9627 8648/9585 8756/9606 9495/9605 +f 8650/9632 8653/9631 8754/9544 8753/9543 +f 8625/9537 8629/9480 8756/9606 8755/9611 +f 8623/9534 8710/9644 8757/9646 8751/9547 +f 9644/9665 8731/9535 8758/9546 9651/9669 +f 9521/9693 8866/9694 8763/9695 9499/9696 +f 9520/9697 8834/9698 8765/9699 9498/9700 +f 8831/9701 8833/9702 8764/9703 8799/9704 +f 9939/9705 9973/9706 8771/9707 8800/9708 +f 9943/9709 9974/9710 8770/9711 9501/9712 +f 9942/9713 9972/9714 8772/9715 9500/9716 +f 9524/9717 8871/9718 8762/9719 9496/9720 +f 9525/9721 8872/9722 8760/9723 9497/9724 +f 8874/9725 8877/9726 8761/9727 8798/9728 +f 9666/9729 9652/9730 8776/9731 8848/9732 +f 8861/9733 8799/9704 8764/9703 8868/9734 +f 9668/9735 9653/9736 8775/9737 8859/9738 +f 9949/9739 9655/9740 8782/9741 9940/9742 +f 8826/9743 8778/9744 8768/9745 8823/9746 +f 8873/9747 8780/9748 8760/9723 8872/9722 +f 9941/9749 8777/9750 8772/9715 9972/9714 +f 8832/9751 8779/9752 8765/9699 8834/9698 +f 8848/9753 8776/9754 8759/9755 8850/9756 +f 9940/9757 8782/9758 8767/9759 9975/9760 +f 8828/9761 8767/9759 8782/9758 8827/9762 +f 9522/9763 9499/9696 8763/9695 8869/9764 +f 9523/9765 9498/9700 8765/9699 8867/9766 +f 9519/9767 8819/9768 8889/9769 9528/9770 +f 8816/9771 8822/9772 8893/9773 8892/9774 +f 9662/9775 8812/9776 8888/9777 9674/9778 +f 9514/9779 8821/9780 8894/9781 9529/9782 +f 8819/9768 8816/9771 8892/9774 8889/9769 +f 9509/9783 8808/9784 8783/9785 9504/9786 +f 8793/9787 8797/9788 8783/9785 8785/9789 +f 8811/9790 8809/9791 8786/9792 8787/9793 +f 9657/9794 8793/9795 8785/9796 9673/9797 +f 9508/9798 8810/9799 8789/9800 9505/9801 +f 8919/9802 8791/9803 8788/9804 8928/9805 +f 8813/9806 8807/9807 8784/9808 8790/9809 +f 8810/9799 8813/9806 8790/9809 8789/9800 +f 8789/9800 8790/9809 8792/9810 8795/9811 +f 8790/9809 8784/9808 8802/9812 8792/9810 +f 8866/9694 8831/9701 8799/9704 8763/9695 +f 9974/9710 9939/9705 8800/9708 8770/9711 +f 8871/9718 8874/9725 8798/9728 8762/9719 +f 8924/9813 8927/9814 8803/9815 8847/9816 +f 8869/9764 8763/9695 8799/9704 8861/9733 +f 8915/9817 8926/9818 8804/9819 8862/9820 +f 9944/9821 8920/9822 8806/9823 9938/9824 +f 8928/9805 8788/9804 8814/9825 8918/9826 +f 9505/9801 8789/9800 8795/9811 9507/9827 +f 9673/9797 8785/9796 8812/9776 9662/9775 +f 8787/9793 8786/9792 8796/9828 8794/9829 +f 8785/9789 8783/9785 8808/9784 8812/9830 +f 9504/9786 8783/9785 8797/9788 9506/9831 +f 8916/9832 8887/9833 8815/9834 8923/9835 +f 8888/9836 8894/9781 8821/9780 8817/9837 +f 9528/9770 8889/9769 8810/9799 9508/9798 +f 9674/9778 8888/9777 8817/9838 9663/9839 +f 8889/9769 8892/9774 8813/9806 8810/9799 +f 8890/9840 8891/9841 8809/9791 8811/9790 +f 8892/9774 8893/9773 8807/9807 8813/9806 +f 9529/9782 8894/9781 8808/9784 9509/9783 +f 9533/9842 8945/9843 8819/9768 9519/9767 +f 8946/9844 8944/9845 8822/9772 8816/9771 +f 8950/9846 8943/9847 8846/9848 8921/9849 +f 8801/9850 8829/9851 8824/9852 8769/9853 +f 9655/9740 9664/9854 8827/9855 8782/9741 +f 8870/9856 8826/9743 8823/9746 8867/9766 +f 8860/9857 8828/9761 8827/9762 8859/9858 +f 9502/9859 9510/9860 8825/9861 8774/9862 +f 9503/9863 9511/9864 8823/9746 8768/9745 +f 8774/9862 8825/9861 8829/9851 8801/9850 +f 8920/9822 8917/9865 8830/9866 8806/9823 +f 8857/9867 8856/9868 8851/9869 8836/9870 +f 8941/9871 8942/9872 8820/9873 8818/9874 +f 9517/9875 8855/9876 8853/9877 9512/9878 +f 9689/9879 8947/9880 8844/9881 9667/9882 +f 8886/9883 8844/9884 8840/9885 8884/9886 +f 9669/9887 9665/9888 8837/9889 8864/9890 +f 8914/9891 8922/9892 8835/9893 8863/9894 +f 9497/9724 8760/9723 8855/9876 9517/9875 +f 8849/9895 8857/9867 8836/9870 8852/9896 +f 9518/9897 8849/9895 8852/9896 9513/9898 +f 8825/9861 8869/9764 8861/9733 8829/9851 +f 8858/9899 8838/9900 8853/9877 8855/9876 +f 8922/9892 8924/9813 8847/9816 8835/9893 +f 8864/9901 8837/9902 8854/9903 8865/9904 +f 9534/9905 8948/9906 8821/9780 9514/9779 +f 9510/9860 9522/9763 8869/9764 8825/9861 +f 8945/9843 8946/9844 8816/9771 8819/9768 +f 8836/9870 8851/9869 8833/9702 8831/9701 +f 8912/9907 8921/9849 8846/9848 8883/9908 +f 9496/9720 8762/9719 8849/9895 9518/9897 +f 8798/9728 8761/9727 8856/9868 8857/9867 +f 8780/9748 8858/9899 8855/9876 8760/9723 +f 9671/9909 9667/9882 8844/9881 8886/9910 +f 8947/9911 8948/9906 8840/9885 8844/9884 +f 9512/9878 8853/9877 8834/9698 9520/9697 +f 8837/9902 8848/9753 8850/9756 8854/9903 +f 9665/9888 9666/9729 8848/9732 8837/9889 +f 8762/9719 8798/9728 8857/9867 8849/9895 +f 8779/9752 8870/9856 8867/9766 8765/9699 +f 9664/9854 9668/9735 8859/9738 8827/9855 +f 8829/9851 8861/9733 8868/9734 8824/9852 +f 8926/9818 8914/9891 8863/9894 8804/9819 +f 8775/9912 8864/9901 8865/9904 8766/9913 +f 9511/9864 9523/9765 8867/9766 8823/9746 +f 8766/9913 8860/9857 8859/9858 8775/9912 +f 8917/9865 8915/9817 8862/9820 8830/9866 +f 9653/9736 9669/9887 8864/9890 8775/9737 +f 9513/9898 8852/9896 8866/9694 9521/9693 +f 8852/9896 8836/9870 8831/9701 8866/9694 +f 8838/9900 8832/9751 8834/9698 8853/9877 +f 9526/9914 8879/9915 8871/9718 9524/9717 +f 9527/9916 8880/9917 8872/9722 9525/9721 +f 8882/9918 8885/9919 8877/9726 8874/9725 +f 8881/9920 8873/9747 8872/9722 8880/9917 +f 8879/9915 8882/9918 8874/9725 8871/9718 +f 8776/9754 8878/9921 8876/9922 8759/9755 +f 8927/9814 8913/9923 8875/9924 8803/9815 +f 9652/9730 9670/9925 8878/9926 8776/9731 +f 8878/9921 8886/9883 8884/9886 8876/9922 +f 8913/9923 8912/9907 8883/9908 8875/9924 +f 9670/9925 9671/9909 8886/9910 8878/9926 +f 9516/9927 8839/9928 8879/9915 9526/9914 +f 9515/9929 8841/9930 8880/9917 9527/9916 +f 8845/9931 8842/9932 8885/9919 8882/9918 +f 8843/9933 8881/9920 8880/9917 8841/9930 +f 8839/9928 8845/9931 8882/9918 8879/9915 +f 8818/9874 8820/9873 8891/9841 8890/9840 +f 8918/9826 8814/9825 8887/9833 8916/9832 +f 8812/9830 8808/9784 8894/9781 8888/9836 +f 8847/9816 8803/9815 8895/9934 8905/9935 +f 8862/9820 8804/9819 8896/9936 8907/9937 +f 9938/9824 8806/9823 8898/9938 9945/9939 +f 8814/9825 8901/9940 8911/9941 8887/9833 +f 8791/9803 8900/9942 8899/9943 8788/9804 +f 8788/9804 8899/9943 8901/9940 8814/9825 +f 8887/9833 8911/9941 8902/9944 8815/9834 +f 8806/9823 8830/9866 8903/9945 8898/9938 +f 8943/9847 8949/9946 8906/9947 8846/9848 +f 8863/9894 8835/9893 8904/9948 8908/9949 +f 8883/9908 8846/9848 8906/9947 8910/9950 +f 8835/9893 8847/9816 8905/9935 8904/9948 +f 8830/9866 8862/9820 8907/9937 8903/9945 +f 8804/9819 8863/9894 8908/9949 8896/9936 +f 8803/9815 8875/9924 8909/9951 8895/9934 +f 8875/9924 8883/9908 8910/9950 8909/9951 +f 9679/9952 9677/9953 8915/9817 8917/9865 +f 9948/9954 9661/9955 8920/9822 9944/9821 +f 9661/9955 9679/9952 8917/9865 8920/9822 +f 9675/9956 9682/9957 8921/9849 8912/9907 +f 9656/9958 8928/9805 8918/9826 9681/9959 +f 9659/9960 9676/9961 8914/9891 8926/9818 +f 9658/9962 9678/9963 8913/9923 8927/9814 +f 9672/9964 8916/9832 8923/9835 9683/9965 +f 9684/9966 9658/9962 8927/9814 8924/9813 +f 9677/9953 9659/9960 8926/9818 8915/9817 +f 9685/9967 9684/9966 8924/9813 8922/9892 +f 9681/9959 8918/9826 8916/9832 9672/9964 +f 9680/9968 8919/9802 8928/9805 9656/9958 +f 9678/9963 9675/9956 8912/9907 8913/9923 +f 9690/9969 8950/9846 8921/9849 9682/9957 +f 9676/9961 9685/9967 8922/9892 8914/9891 +f 8938/9970 8930/9971 8791/9972 8919/9973 +f 8795/9811 8792/9810 8929/9974 8933/9975 +f 8900/9976 8791/9972 8930/9971 8937/9977 +f 9507/9827 8795/9811 8933/9975 9530/9978 +f 8931/9979 8935/9980 8797/9788 8793/9787 +f 8794/9829 8796/9828 8934/9981 8932/9982 +f 9680/9983 8794/9829 8932/9982 9687/9984 +f 9506/9831 8797/9788 8935/9980 9531/9985 +f 9686/9986 8931/9979 8793/9787 9657/9987 +f 8792/9810 8802/9812 8936/9988 8929/9974 +f 9687/9984 8932/9982 8940/9989 9688/9990 +f 9686/9986 9688/9990 8940/9989 8931/9979 +f 8931/9979 8940/9989 8939/9991 8935/9980 +f 8940/9989 8932/9982 8934/9981 8939/9991 +f 9532/9992 9530/9978 8933/9975 8929/9974 +f 9532/9992 9531/9985 8935/9980 8939/9991 +f 9515/9929 8842/9932 8945/9843 9533/9842 +f 8845/9931 8839/9928 8944/9845 8946/9844 +f 8923/9835 8815/9834 8943/9847 8950/9846 +f 8843/9933 8841/9930 8942/9872 8941/9871 +f 9663/9839 8817/9838 8947/9880 9689/9879 +f 9516/9927 8840/9885 8948/9906 9534/9905 +f 8842/9932 8845/9931 8946/9844 8945/9843 +f 8817/9837 8821/9780 8948/9906 8947/9911 +f 8815/9834 8902/9944 8949/9946 8943/9847 +f 9683/9965 8923/9835 8950/9846 9690/9969 +f 9560/9993 9058/9994 8955/9995 9538/9996 +f 9559/9997 9026/9998 8957/9999 9537/10000 +f 9023/10001 9025/10002 8956/10003 8991/10004 +f 9962/10005 9964/10006 8963/10007 8992/10008 +f 9958/10009 9955/10010 8962/10011 9540/10012 +f 9959/10013 9965/10014 8964/10015 9539/10016 +f 9563/10017 9063/10018 8954/10019 9535/10020 +f 9564/10021 9064/10022 8952/10023 9536/10024 +f 9066/10025 9069/10026 8953/10027 8990/10028 +f 9705/10029 9691/10030 8968/10031 9040/10032 +f 9053/10033 8991/10004 8956/10003 9060/10034 +f 9707/10035 9692/10036 8967/10037 9051/10038 +f 9950/10039 9694/10040 8974/10041 9953/10042 +f 9018/10043 8970/10044 8960/10045 9015/10046 +f 9065/10047 8972/10048 8952/10023 9064/10022 +f 9952/10049 8969/10050 8964/10015 9965/10014 +f 9024/10051 8971/10052 8957/9999 9026/9998 +f 9040/10053 8968/10054 8951/10055 9042/10056 +f 9953/10057 8974/10058 8959/10059 9954/10060 +f 9020/10061 8959/10059 8974/10058 9019/10062 +f 9561/10063 9538/9996 8955/9995 9061/10064 +f 9562/10065 9537/10000 8957/9999 9059/10066 +f 9558/10067 9011/10068 9081/10069 9567/10070 +f 9008/10071 9014/10072 9085/10073 9084/10074 +f 9701/10075 9004/10076 9080/10077 9713/10078 +f 9553/10079 9013/10080 9086/10081 9568/10082 +f 9011/10068 9008/10071 9084/10074 9081/10069 +f 9548/10083 9000/10084 8975/10085 9543/10086 +f 8985/10087 8989/10088 8975/10085 8977/10089 +f 9003/10090 9001/10091 8978/10092 8979/10093 +f 9696/10094 8985/10095 8977/10096 9712/10097 +f 9547/10098 9002/10099 8981/10100 9544/10101 +f 9111/10102 8983/10103 8980/10104 9120/10105 +f 9005/10106 8999/10107 8976/10108 8982/10109 +f 9002/10099 9005/10106 8982/10109 8981/10100 +f 8981/10100 8982/10109 8984/10110 8987/10111 +f 8982/10109 8976/10108 8994/10112 8984/10110 +f 9058/9994 9023/10001 8991/10004 8955/9995 +f 9955/10010 9962/10005 8992/10008 8962/10011 +f 9063/10018 9066/10025 8990/10028 8954/10019 +f 9116/10113 9119/10114 8995/10115 9039/10116 +f 9061/10064 8955/9995 8991/10004 9053/10033 +f 9107/10117 9118/10118 8996/10119 9054/10120 +f 9957/10121 9112/10122 8998/10123 9963/10124 +f 9120/10105 8980/10104 9006/10125 9110/10126 +f 9544/10101 8981/10100 8987/10111 9546/10127 +f 9712/10097 8977/10096 9004/10076 9701/10075 +f 8979/10093 8978/10092 8988/10128 8986/10129 +f 8977/10089 8975/10085 9000/10084 9004/10130 +f 9543/10086 8975/10085 8989/10088 9545/10131 +f 9108/10132 9079/10133 9007/10134 9115/10135 +f 9080/10136 9086/10081 9013/10080 9009/10137 +f 9567/10070 9081/10069 9002/10099 9547/10098 +f 9713/10078 9080/10077 9009/10138 9702/10139 +f 9081/10069 9084/10074 9005/10106 9002/10099 +f 9082/10140 9083/10141 9001/10091 9003/10090 +f 9084/10074 9085/10073 8999/10107 9005/10106 +f 9568/10082 9086/10081 9000/10084 9548/10083 +f 9572/10142 9137/10143 9011/10068 9558/10067 +f 9138/10144 9136/10145 9014/10072 9008/10071 +f 9142/10146 9135/10147 9038/10148 9113/10149 +f 8993/10150 9021/10151 9016/10152 8961/10153 +f 9694/10040 9703/10154 9019/10155 8974/10041 +f 9062/10156 9018/10043 9015/10046 9059/10066 +f 9052/10157 9020/10061 9019/10062 9051/10158 +f 9541/10159 9549/10160 9017/10161 8966/10162 +f 9542/10163 9550/10164 9015/10046 8960/10045 +f 8966/10162 9017/10161 9021/10151 8993/10150 +f 9112/10122 9109/10165 9022/10166 8998/10123 +f 9049/10167 9048/10168 9043/10169 9028/10170 +f 9133/10171 9134/10172 9012/10173 9010/10174 +f 9556/10175 9047/10176 9045/10177 9551/10178 +f 9728/10179 9139/10180 9036/10181 9706/10182 +f 9078/10183 9036/10184 9032/10185 9076/10186 +f 9708/10187 9704/10188 9029/10189 9056/10190 +f 9106/10191 9114/10192 9027/10193 9055/10194 +f 9536/10024 8952/10023 9047/10176 9556/10175 +f 9041/10195 9049/10167 9028/10170 9044/10196 +f 9557/10197 9041/10195 9044/10196 9552/10198 +f 9017/10161 9061/10064 9053/10033 9021/10151 +f 9050/10199 9030/10200 9045/10177 9047/10176 +f 9114/10192 9116/10113 9039/10116 9027/10193 +f 9056/10201 9029/10202 9046/10203 9057/10204 +f 9573/10205 9140/10206 9013/10080 9553/10079 +f 9549/10160 9561/10063 9061/10064 9017/10161 +f 9137/10143 9138/10144 9008/10071 9011/10068 +f 9028/10170 9043/10169 9025/10002 9023/10001 +f 9104/10207 9113/10149 9038/10148 9075/10208 +f 9535/10020 8954/10019 9041/10195 9557/10197 +f 8990/10028 8953/10027 9048/10168 9049/10167 +f 8972/10048 9050/10199 9047/10176 8952/10023 +f 9710/10209 9706/10182 9036/10181 9078/10210 +f 9139/10211 9140/10206 9032/10185 9036/10184 +f 9551/10178 9045/10177 9026/9998 9559/9997 +f 9029/10202 9040/10053 9042/10056 9046/10203 +f 9704/10188 9705/10029 9040/10032 9029/10189 +f 8954/10019 8990/10028 9049/10167 9041/10195 +f 8971/10052 9062/10156 9059/10066 8957/9999 +f 9703/10154 9707/10035 9051/10038 9019/10155 +f 9021/10151 9053/10033 9060/10034 9016/10152 +f 9118/10118 9106/10191 9055/10194 8996/10119 +f 8967/10212 9056/10201 9057/10204 8958/10213 +f 9550/10164 9562/10065 9059/10066 9015/10046 +f 8958/10213 9052/10157 9051/10158 8967/10212 +f 9109/10165 9107/10117 9054/10120 9022/10166 +f 9692/10036 9708/10187 9056/10190 8967/10037 +f 9552/10198 9044/10196 9058/9994 9560/9993 +f 9044/10196 9028/10170 9023/10001 9058/9994 +f 9030/10200 9024/10051 9026/9998 9045/10177 +f 9565/10214 9071/10215 9063/10018 9563/10017 +f 9566/10216 9072/10217 9064/10022 9564/10021 +f 9074/10218 9077/10219 9069/10026 9066/10025 +f 9073/10220 9065/10047 9064/10022 9072/10217 +f 9071/10215 9074/10218 9066/10025 9063/10018 +f 8968/10054 9070/10221 9068/10222 8951/10055 +f 9119/10114 9105/10223 9067/10224 8995/10115 +f 9691/10030 9709/10225 9070/10226 8968/10031 +f 9070/10221 9078/10183 9076/10186 9068/10222 +f 9105/10223 9104/10207 9075/10208 9067/10224 +f 9709/10225 9710/10209 9078/10210 9070/10226 +f 9555/10227 9031/10228 9071/10215 9565/10214 +f 9554/10229 9033/10230 9072/10217 9566/10216 +f 9037/10231 9034/10232 9077/10219 9074/10218 +f 9035/10233 9073/10220 9072/10217 9033/10230 +f 9031/10228 9037/10231 9074/10218 9071/10215 +f 9010/10174 9012/10173 9083/10141 9082/10140 +f 9110/10126 9006/10125 9079/10133 9108/10132 +f 9004/10130 9000/10084 9086/10081 9080/10136 +f 9039/10116 8995/10115 9087/10234 9097/10235 +f 9054/10120 8996/10119 9088/10236 9099/10237 +f 9963/10124 8998/10123 9090/10238 9956/10239 +f 9006/10125 9093/10240 9103/10241 9079/10133 +f 8983/10103 9092/10242 9091/10243 8980/10104 +f 8980/10104 9091/10243 9093/10240 9006/10125 +f 9079/10133 9103/10241 9094/10244 9007/10134 +f 8998/10123 9022/10166 9095/10245 9090/10238 +f 9135/10147 9141/10246 9098/10247 9038/10148 +f 9055/10194 9027/10193 9096/10248 9100/10249 +f 9075/10208 9038/10148 9098/10247 9102/10250 +f 9027/10193 9039/10116 9097/10235 9096/10248 +f 9022/10166 9054/10120 9099/10237 9095/10245 +f 8996/10119 9055/10194 9100/10249 9088/10236 +f 8995/10115 9067/10224 9101/10251 9087/10234 +f 9067/10224 9075/10208 9102/10250 9101/10251 +f 9718/10252 9716/10253 9107/10117 9109/10165 +f 9951/10254 9700/10255 9112/10122 9957/10121 +f 9700/10255 9718/10252 9109/10165 9112/10122 +f 9714/10256 9721/10257 9113/10149 9104/10207 +f 9695/10258 9120/10105 9110/10126 9720/10259 +f 9698/10260 9715/10261 9106/10191 9118/10118 +f 9697/10262 9717/10263 9105/10223 9119/10114 +f 9711/10264 9108/10132 9115/10135 9722/10265 +f 9723/10266 9697/10262 9119/10114 9116/10113 +f 9716/10253 9698/10260 9118/10118 9107/10117 +f 9724/10267 9723/10266 9116/10113 9114/10192 +f 9720/10259 9110/10126 9108/10132 9711/10264 +f 9719/10268 9111/10102 9120/10105 9695/10258 +f 9717/10263 9714/10256 9104/10207 9105/10223 +f 9729/10269 9142/10146 9113/10149 9721/10257 +f 9715/10261 9724/10267 9114/10192 9106/10191 +f 9130/10270 9122/10271 8983/10272 9111/10273 +f 8987/10111 8984/10110 9121/10274 9125/10275 +f 9092/10276 8983/10272 9122/10271 9129/10277 +f 9546/10127 8987/10111 9125/10275 9569/10278 +f 9123/10279 9127/10280 8989/10088 8985/10087 +f 8986/10129 8988/10128 9126/10281 9124/10282 +f 9719/10283 8986/10129 9124/10282 9726/10284 +f 9545/10131 8989/10088 9127/10280 9570/10285 +f 9725/10286 9123/10279 8985/10087 9696/10287 +f 8984/10110 8994/10112 9128/10288 9121/10274 +f 9726/10284 9124/10282 9132/10289 9727/10290 +f 9725/10286 9727/10290 9132/10289 9123/10279 +f 9123/10279 9132/10289 9131/10291 9127/10280 +f 9132/10289 9124/10282 9126/10281 9131/10291 +f 9571/10292 9569/10278 9125/10275 9121/10274 +f 9571/10292 9570/10285 9127/10280 9131/10291 +f 9554/10229 9034/10232 9137/10143 9572/10142 +f 9037/10231 9031/10228 9136/10145 9138/10144 +f 9115/10135 9007/10134 9135/10147 9142/10146 +f 9035/10233 9033/10230 9134/10172 9133/10171 +f 9702/10139 9009/10138 9139/10180 9728/10179 +f 9555/10227 9032/10185 9140/10206 9573/10205 +f 9034/10232 9037/10231 9138/10144 9137/10143 +f 9009/10137 9013/10080 9140/10206 9139/10211 +f 9007/10134 9094/10244 9141/10246 9135/10147 +f 9722/10265 9115/10135 9142/10146 9729/10269 +f 9599/10293 9250/10294 9147/10295 9577/10296 +f 9598/10297 9218/10298 9149/10299 9576/10300 +f 9215/10301 9217/10302 9148/10303 9183/10304 +f 9969/10305 9947/10306 9155/10307 9184/10308 +f 9971/10309 9960/10310 9154/10311 9579/10312 +f 9970/10313 9946/10314 9156/10315 9578/10316 +f 9602/10317 9255/10318 9146/10319 9574/10320 +f 9603/10321 9256/10322 9144/10323 9575/10324 +f 9258/10325 9261/10326 9145/10327 9182/10328 +f 9744/10329 9730/10330 9160/10331 9232/10332 +f 9245/10333 9183/10304 9148/10303 9252/10334 +f 9746/10335 9731/10336 9159/10337 9243/10338 +f 9967/10339 9733/10340 9166/10341 9977/10342 +f 9210/10343 9162/10344 9152/10345 9207/10346 +f 9257/10347 9164/10348 9144/10323 9256/10322 +f 9976/10349 9161/10350 9156/10315 9946/10314 +f 9216/10351 9163/10352 9149/10299 9218/10298 +f 9232/10353 9160/10354 9143/10355 9234/10356 +f 9977/10357 9166/10358 9151/10359 9961/10360 +f 9212/10361 9151/10359 9166/10358 9211/10362 +f 9600/10363 9577/10296 9147/10295 9253/10364 +f 9601/10365 9576/10300 9149/10299 9251/10366 +f 9597/10367 9203/10368 9273/10369 9606/10370 +f 9200/10371 9206/10372 9277/10373 9276/10374 +f 9740/10375 9196/10376 9272/10377 9752/10378 +f 9592/10379 9205/10380 9278/10381 9607/10382 +f 9203/10368 9200/10371 9276/10374 9273/10369 +f 9587/10383 9192/10384 9167/10385 9582/10386 +f 9177/10387 9181/10388 9167/10385 9169/10389 +f 9195/10390 9193/10391 9170/10392 9171/10393 +f 9735/10394 9177/10387 9169/10389 9751/10395 +f 9586/10396 9194/10397 9173/10398 9583/10399 +f 9303/10400 9175/10401 9172/10402 9312/10403 +f 9197/10404 9191/10405 9168/10406 9174/10407 +f 9194/10397 9197/10404 9174/10407 9173/10398 +f 9173/10398 9174/10407 9176/10408 9179/10409 +f 9174/10407 9168/10406 9186/10410 9176/10408 +f 9250/10294 9215/10301 9183/10304 9147/10295 +f 9960/10310 9969/10305 9184/10308 9154/10311 +f 9255/10318 9258/10325 9182/10328 9146/10319 +f 9308/10411 9311/10412 9187/10413 9231/10414 +f 9253/10364 9147/10295 9183/10304 9245/10333 +f 9299/10415 9310/10416 9188/10417 9246/10418 +f 9978/10419 9304/10420 9190/10421 9968/10422 +f 9312/10423 9172/10424 9198/10425 9302/10426 +f 9583/10399 9173/10398 9179/10409 9585/10427 +f 9751/10428 9169/10429 9196/10376 9740/10375 +f 9171/10393 9170/10392 9180/10430 9178/10431 +f 9169/10389 9167/10385 9192/10384 9196/10432 +f 9582/10386 9167/10385 9181/10388 9584/10433 +f 9300/10434 9271/10435 9199/10436 9307/10437 +f 9272/10438 9278/10381 9205/10380 9201/10439 +f 9606/10370 9273/10369 9194/10397 9586/10396 +f 9752/10378 9272/10377 9201/10440 9741/10441 +f 9273/10369 9276/10374 9197/10404 9194/10397 +f 9274/10442 9275/10443 9193/10391 9195/10390 +f 9276/10374 9277/10373 9191/10405 9197/10404 +f 9607/10382 9278/10381 9192/10384 9587/10383 +f 9611/10444 9329/10445 9203/10368 9597/10367 +f 9330/10446 9328/10447 9206/10372 9200/10371 +f 9334/10448 9327/10449 9230/10450 9305/10451 +f 9185/10452 9213/10453 9208/10454 9153/10455 +f 9733/10340 9742/10456 9211/10457 9166/10341 +f 9254/10458 9210/10343 9207/10346 9251/10366 +f 9244/10459 9212/10361 9211/10362 9243/10460 +f 9580/10461 9588/10462 9209/10463 9158/10464 +f 9581/10465 9589/10466 9207/10346 9152/10345 +f 9158/10464 9209/10463 9213/10453 9185/10452 +f 9304/10420 9301/10467 9214/10468 9190/10421 +f 9241/10469 9240/10470 9235/10471 9220/10472 +f 9325/10473 9326/10474 9204/10475 9202/10476 +f 9595/10477 9239/10478 9237/10479 9590/10480 +f 9767/10481 9331/10482 9228/10483 9745/10484 +f 9270/10485 9228/10486 9224/10487 9268/10488 +f 9747/10489 9743/10490 9221/10491 9248/10492 +f 9298/10493 9306/10494 9219/10495 9247/10496 +f 9575/10324 9144/10323 9239/10478 9595/10477 +f 9233/10497 9241/10469 9220/10472 9236/10498 +f 9596/10499 9233/10497 9236/10498 9591/10500 +f 9209/10463 9253/10364 9245/10333 9213/10453 +f 9242/10501 9222/10502 9237/10479 9239/10478 +f 9306/10494 9308/10411 9231/10414 9219/10495 +f 9248/10503 9221/10504 9238/10505 9249/10506 +f 9612/10507 9332/10508 9205/10380 9592/10379 +f 9588/10462 9600/10363 9253/10364 9209/10463 +f 9329/10445 9330/10446 9200/10371 9203/10368 +f 9220/10472 9235/10471 9217/10302 9215/10301 +f 9296/10509 9305/10451 9230/10450 9267/10510 +f 9574/10320 9146/10319 9233/10497 9596/10499 +f 9182/10328 9145/10327 9240/10470 9241/10469 +f 9164/10348 9242/10501 9239/10478 9144/10323 +f 9749/10511 9745/10484 9228/10483 9270/10512 +f 9331/10513 9332/10508 9224/10487 9228/10486 +f 9590/10480 9237/10479 9218/10298 9598/10297 +f 9221/10504 9232/10353 9234/10356 9238/10505 +f 9743/10490 9744/10329 9232/10332 9221/10491 +f 9146/10319 9182/10328 9241/10469 9233/10497 +f 9163/10352 9254/10458 9251/10366 9149/10299 +f 9742/10456 9746/10335 9243/10338 9211/10457 +f 9213/10453 9245/10333 9252/10334 9208/10454 +f 9310/10416 9298/10493 9247/10496 9188/10417 +f 9159/10514 9248/10503 9249/10506 9150/10515 +f 9589/10466 9601/10365 9251/10366 9207/10346 +f 9150/10515 9244/10459 9243/10460 9159/10514 +f 9301/10467 9299/10415 9246/10418 9214/10468 +f 9731/10336 9747/10489 9248/10492 9159/10337 +f 9591/10500 9236/10498 9250/10294 9599/10293 +f 9236/10498 9220/10472 9215/10301 9250/10294 +f 9222/10502 9216/10351 9218/10298 9237/10479 +f 9604/10516 9263/10517 9255/10318 9602/10317 +f 9605/10518 9264/10519 9256/10322 9603/10321 +f 9266/10520 9269/10521 9261/10326 9258/10325 +f 9265/10522 9257/10347 9256/10322 9264/10519 +f 9263/10517 9266/10520 9258/10325 9255/10318 +f 9160/10354 9262/10523 9260/10524 9143/10355 +f 9311/10412 9297/10525 9259/10526 9187/10413 +f 9730/10330 9748/10527 9262/10528 9160/10331 +f 9262/10523 9270/10485 9268/10488 9260/10524 +f 9297/10525 9296/10509 9267/10510 9259/10526 +f 9748/10527 9749/10511 9270/10512 9262/10528 +f 9594/10529 9223/10530 9263/10517 9604/10516 +f 9593/10531 9225/10532 9264/10519 9605/10518 +f 9229/10533 9226/10534 9269/10521 9266/10520 +f 9227/10535 9265/10522 9264/10519 9225/10532 +f 9223/10530 9229/10533 9266/10520 9263/10517 +f 9202/10476 9204/10475 9275/10443 9274/10442 +f 9302/10426 9198/10425 9271/10435 9300/10434 +f 9196/10432 9192/10384 9278/10381 9272/10438 +f 9231/10414 9187/10413 9279/10536 9289/10537 +f 9246/10418 9188/10417 9280/10538 9291/10539 +f 9968/10422 9190/10421 9282/10540 9979/10541 +f 9198/10425 9285/10542 9295/10543 9271/10435 +f 9175/10401 9284/10544 9283/10545 9172/10402 +f 9172/10424 9283/10546 9285/10542 9198/10425 +f 9271/10435 9295/10543 9286/10547 9199/10436 +f 9190/10421 9214/10468 9287/10548 9282/10540 +f 9327/10449 9333/10549 9290/10550 9230/10450 +f 9247/10496 9219/10495 9288/10551 9292/10552 +f 9267/10510 9230/10450 9290/10550 9294/10553 +f 9219/10495 9231/10414 9289/10537 9288/10551 +f 9214/10468 9246/10418 9291/10539 9287/10548 +f 9188/10417 9247/10496 9292/10552 9280/10538 +f 9187/10413 9259/10526 9293/10554 9279/10536 +f 9259/10526 9267/10510 9294/10553 9293/10554 +f 9757/10555 9755/10556 9299/10415 9301/10467 +f 9966/10557 9739/10558 9304/10420 9978/10419 +f 9739/10558 9757/10555 9301/10467 9304/10420 +f 9753/10559 9760/10560 9305/10451 9296/10509 +f 9734/10561 9312/10423 9302/10426 9759/10562 +f 9737/10563 9754/10564 9298/10493 9310/10416 +f 9736/10565 9756/10566 9297/10525 9311/10412 +f 9750/10567 9300/10434 9307/10437 9761/10568 +f 9762/10569 9736/10565 9311/10412 9308/10411 +f 9755/10556 9737/10563 9310/10416 9299/10415 +f 9763/10570 9762/10569 9308/10411 9306/10494 +f 9759/10562 9302/10426 9300/10434 9750/10567 +f 9758/10571 9303/10400 9312/10403 9734/10572 +f 9756/10566 9753/10559 9296/10509 9297/10525 +f 9768/10573 9334/10448 9305/10451 9760/10560 +f 9754/10564 9763/10570 9306/10494 9298/10493 +f 9322/10574 9314/10575 9175/10401 9303/10400 +f 9179/10409 9176/10408 9313/10576 9317/10577 +f 9284/10544 9175/10401 9314/10575 9321/10578 +f 9585/10427 9179/10409 9317/10577 9608/10579 +f 9315/10580 9319/10581 9181/10388 9177/10387 +f 9178/10431 9180/10430 9318/10582 9316/10583 +f 9758/10571 9178/10431 9316/10583 9765/10584 +f 9584/10433 9181/10388 9319/10581 9609/10585 +f 9764/10586 9315/10580 9177/10387 9735/10394 +f 9176/10408 9186/10410 9320/10587 9313/10576 +f 9765/10584 9316/10583 9324/10588 9766/10589 +f 9764/10586 9766/10589 9324/10588 9315/10580 +f 9315/10580 9324/10588 9323/10590 9319/10581 +f 9324/10588 9316/10583 9318/10582 9323/10590 +f 9610/10591 9608/10579 9317/10577 9313/10576 +f 9610/10591 9609/10585 9319/10581 9323/10590 +f 9593/10531 9226/10534 9329/10445 9611/10444 +f 9229/10533 9223/10530 9328/10447 9330/10446 +f 9307/10437 9199/10436 9327/10449 9334/10448 +f 9227/10535 9225/10532 9326/10474 9325/10473 +f 9741/10441 9201/10440 9331/10482 9767/10481 +f 9594/10529 9224/10487 9332/10508 9612/10507 +f 9226/10534 9229/10533 9330/10446 9329/10445 +f 9201/10439 9205/10380 9332/10508 9331/10513 +f 9199/10436 9286/10547 9333/10549 9327/10449 +f 9761/10568 9307/10437 9334/10448 9768/10573 +f 9396/10592 9391/10593 9338/10594 9335/10595 +f 9397/10596 9392/10597 9336/10598 9337/10599 +f 9394/10600 9397/10596 9337/10599 9356/10601 +f 9420/10602 9415/10603 9339/10604 9384/10605 +f 9393/10606 9340/10607 9336/10598 9392/10597 +f 9384/10608 9339/10609 9335/10595 9386/10610 +f 9372/10611 9371/10612 9409/10613 9411/10614 +f 9368/10615 9374/10616 9413/10617 9412/10618 +f 9418/10619 9364/10620 9408/10621 9424/10622 +f 9374/10616 9373/10623 9414/10624 9413/10617 +f 9371/10612 9368/10615 9412/10618 9409/10613 +f 9359/10625 9360/10626 9341/10627 9342/10628 +f 9351/10629 9355/10630 9341/10627 9343/10631 +f 9363/10632 9361/10633 9344/10634 9345/10635 +f 9417/10636 9351/10637 9343/10638 9416/10639 +f 9361/10633 9362/10640 9347/10641 9344/10634 +f 9429/10642 9349/10643 9346/10644 9434/10645 +f 9365/10646 9359/10625 9342/10628 9348/10647 +f 9362/10640 9365/10646 9348/10647 9347/10641 +f 9347/10641 9348/10647 9350/10648 9353/10649 +f 9348/10647 9342/10628 9357/10650 9350/10648 +f 9391/10593 9394/10600 9356/10601 9338/10594 +f 9432/10651 9433/10652 9358/10653 9383/10654 +f 9434/10645 9346/10644 9366/10655 9428/10656 +f 9344/10634 9347/10641 9353/10649 9354/10657 +f 9416/10639 9343/10638 9364/10620 9418/10619 +f 9345/10635 9344/10634 9354/10657 9352/10658 +f 9343/10631 9341/10627 9360/10626 9364/10659 +f 9342/10628 9341/10627 9355/10630 9357/10650 +f 9427/10660 9407/10661 9367/10662 9431/10663 +f 9408/10664 9414/10624 9373/10623 9369/10665 +f 9411/10614 9409/10613 9362/10640 9361/10633 +f 9424/10622 9408/10621 9369/10666 9419/10667 +f 9409/10613 9412/10618 9365/10646 9362/10640 +f 9410/10668 9411/10614 9361/10633 9363/10632 +f 9412/10618 9413/10617 9359/10625 9365/10646 +f 9413/10617 9414/10624 9360/10626 9359/10625 +f 9448/10669 9451/10670 9371/10612 9372/10611 +f 9452/10671 9450/10672 9374/10616 9368/10615 +f 9456/10673 9449/10674 9382/10675 9430/10676 +f 9447/10677 9448/10669 9372/10611 9370/10678 +f 9455/10679 9453/10680 9380/10681 9421/10682 +f 9406/10683 9380/10684 9376/10685 9404/10686 +f 9337/10599 9336/10598 9387/10687 9388/10688 +f 9450/10672 9454/10689 9373/10623 9374/10616 +f 9451/10670 9452/10671 9368/10615 9371/10612 +f 9425/10690 9430/10676 9382/10675 9403/10691 +f 9335/10595 9338/10594 9385/10692 9386/10610 +f 9356/10601 9337/10599 9388/10688 9389/10693 +f 9340/10607 9390/10694 9387/10687 9336/10598 +f 9423/10695 9421/10682 9380/10681 9406/10696 +f 9453/10697 9454/10689 9376/10685 9380/10684 +f 9338/10594 9356/10601 9389/10693 9385/10692 +f 9404/10686 9399/10698 9391/10593 9396/10592 +f 9405/10699 9400/10700 9392/10597 9397/10596 +f 9402/10701 9405/10699 9397/10596 9394/10600 +f 9401/10702 9393/10606 9392/10597 9400/10700 +f 9399/10698 9402/10701 9394/10600 9391/10593 +f 9339/10609 9398/10703 9396/10592 9335/10595 +f 9433/10652 9426/10704 9395/10705 9358/10653 +f 9415/10603 9422/10706 9398/10707 9339/10604 +f 9398/10703 9406/10683 9404/10686 9396/10592 +f 9426/10704 9425/10690 9403/10691 9395/10705 +f 9422/10706 9423/10695 9406/10696 9398/10707 +f 9376/10685 9375/10708 9399/10698 9404/10686 +f 9378/10709 9377/10710 9400/10700 9405/10699 +f 9381/10711 9378/10709 9405/10699 9402/10701 +f 9379/10712 9401/10702 9400/10700 9377/10710 +f 9375/10708 9381/10711 9402/10701 9399/10698 +f 9370/10678 9372/10611 9411/10614 9410/10668 +f 9428/10656 9366/10655 9407/10661 9427/10660 +f 9364/10659 9360/10626 9414/10624 9408/10664 +f 9383/10654 9358/10653 9415/10603 9420/10602 +f 9366/10655 9418/10619 9424/10622 9407/10661 +f 9349/10643 9417/10636 9416/10639 9346/10644 +f 9346/10644 9416/10639 9418/10619 9366/10655 +f 9407/10661 9424/10622 9419/10667 9367/10662 +f 9449/10674 9455/10679 9421/10682 9382/10675 +f 9403/10691 9382/10675 9421/10682 9423/10695 +f 9358/10653 9395/10705 9422/10706 9415/10603 +f 9395/10705 9403/10691 9423/10695 9422/10706 +f 9401/10713 9379/10714 9430/10676 9425/10690 +f 9345/10715 9434/10645 9428/10656 9363/10716 +f 9340/10717 9393/10718 9426/10704 9433/10652 +f 9410/10719 9427/10660 9431/10663 9370/10720 +f 9390/10721 9340/10717 9433/10652 9432/10651 +f 9363/10716 9428/10656 9427/10660 9410/10719 +f 9352/10722 9429/10642 9434/10645 9345/10715 +f 9393/10718 9401/10713 9425/10690 9426/10704 +f 9447/10723 9456/10673 9430/10676 9379/10714 +f 9444/10724 9436/10725 9349/10726 9429/10727 +f 9353/10649 9350/10648 9435/10728 9439/10729 +f 9417/10730 9349/10726 9436/10725 9443/10731 +f 9354/10657 9353/10649 9439/10729 9440/10732 +f 9437/10733 9441/10734 9355/10630 9351/10629 +f 9352/10658 9354/10657 9440/10732 9438/10735 +f 9429/10727 9352/10658 9438/10735 9444/10724 +f 9357/10650 9355/10630 9441/10734 9442/10736 +f 9443/10731 9437/10733 9351/10629 9417/10730 +f 9350/10648 9357/10650 9442/10736 9435/10728 +f 9444/10724 9438/10735 9446/10737 9436/10725 +f 9443/10731 9436/10725 9446/10737 9437/10733 +f 9437/10733 9446/10737 9445/10738 9441/10734 +f 9446/10737 9438/10735 9440/10732 9445/10738 +f 9445/10738 9440/10732 9439/10729 9435/10728 +f 9435/10728 9442/10736 9441/10734 9445/10738 +f 9377/10710 9378/10709 9451/10670 9448/10669 +f 9381/10711 9375/10708 9450/10672 9452/10671 +f 9431/10663 9367/10662 9449/10674 9456/10673 +f 9379/10712 9377/10710 9448/10669 9447/10677 +f 9419/10667 9369/10666 9453/10680 9455/10679 +f 9375/10708 9376/10685 9454/10689 9450/10672 +f 9378/10709 9381/10711 9452/10671 9451/10670 +f 9369/10665 9373/10623 9454/10689 9453/10697 +f 9367/10662 9419/10667 9455/10679 9449/10674 +f 9370/10720 9431/10663 9456/10673 9447/10723 +f 8673/9604 9482/9393 9460/9396 8574/9613 +f 8641/9402 9481/9397 9459/9400 8572/9403 +f 9924/9460 9934/9409 9462/9412 8581/10739 +f 9926/9406 9935/9413 9461/9416 8579/9407 +f 8684/9622 9485/9417 9457/9420 8567/9455 +f 8685/9426 9486/9421 9458/9424 8569/9427 +f 8668/9557 8574/9613 9460/9396 9483/9463 +f 8676/9434 8572/9403 9459/9400 9484/9465 +f 8628/9573 9480/9467 9489/9470 8699/9541 +f 8630/9472 9475/9479 9490/9482 8701/9473 +f 8615/9507 9470/9483 9465/9486 8592/9508 +f 8617/9491 9469/9498 9466/9501 8594/9492 +f 8594/9492 9466/9501 9468/9527 8604/9528 +f 8592/9508 9465/9486 9467/9531 8610/9512 +f 8699/9541 9489/9470 9469/9498 8617/9491 +f 8701/9473 9490/9482 9470/9483 8615/9507 +f 8750/9572 9494/9542 9480/9467 8628/9573 +f 8575/9459 8636/9461 9471/9560 9463/9559 +f 8577/9553 8632/9552 9472/9564 9464/9563 +f 8664/9568 9478/9575 9473/9578 8659/9569 +f 8569/9427 9458/9424 9478/9575 8664/9568 +f 8658/9456 9479/9597 9474/9598 8662/9603 +f 8752/9545 9495/9605 9475/9479 8630/9472 +f 8636/9461 8668/9557 9483/9463 9471/9560 +f 8567/9455 9457/9420 9479/9597 8658/9456 +f 8659/9569 9473/9578 9481/9397 8641/9402 +f 8632/9552 8676/9434 9484/9465 9472/9564 +f 8662/9603 9474/9598 9482/9393 8673/9604 +f 8692/9586 9487/9614 9485/9417 8684/9622 +f 8693/9619 9488/9616 9486/9421 8685/9426 +f 8648/9585 9477/9627 9487/9614 8692/9586 +f 8650/9632 9476/9629 9488/9616 8693/9619 +f 8604/9528 9468/9527 9491/9678 8742/9681 +f 8610/9512 9467/9531 9492/9685 8744/9688 +f 8747/9691 8742/9681 9491/9678 9493/9692 +f 8737/9674 8744/9688 9492/9685 9493/9692 +f 8649/9630 9476/9629 9494/9542 8750/9572 +f 8647/9628 9477/9627 9495/9605 8752/9545 +f 8865/9904 9521/9693 9499/9696 8766/9913 +f 8833/9702 9520/9697 9498/9700 8764/9703 +f 9975/9760 9943/9709 9501/9712 8773/10740 +f 9973/9706 9942/9713 9500/9716 8771/9707 +f 8876/9922 9524/9717 9496/9720 8759/9755 +f 8877/9726 9525/9721 9497/9724 8761/9727 +f 8860/9857 8766/9913 9499/9696 9522/9763 +f 8868/9734 8764/9703 9498/9700 9523/9765 +f 8820/9873 9519/9767 9528/9770 8891/9841 +f 8822/9772 9514/9779 9529/9782 8893/9773 +f 8807/9807 9509/9783 9504/9786 8784/9808 +f 8809/9791 9508/9798 9505/9801 8786/9792 +f 8786/9792 9505/9801 9507/9827 8796/9828 +f 8784/9808 9504/9786 9506/9831 8802/9812 +f 8891/9841 9528/9770 9508/9798 8809/9791 +f 8893/9773 9529/9782 9509/9783 8807/9807 +f 8942/9872 9533/9842 9519/9767 8820/9873 +f 8767/9759 8828/9761 9510/9860 9502/9859 +f 8769/9853 8824/9852 9511/9864 9503/9863 +f 8856/9868 9517/9875 9512/9878 8851/9869 +f 8761/9727 9497/9724 9517/9875 8856/9868 +f 8850/9756 9518/9897 9513/9898 8854/9903 +f 8944/9845 9534/9905 9514/9779 8822/9772 +f 8828/9761 8860/9857 9522/9763 9510/9860 +f 8759/9755 9496/9720 9518/9897 8850/9756 +f 8851/9869 9512/9878 9520/9697 8833/9702 +f 8824/9852 8868/9734 9523/9765 9511/9864 +f 8854/9903 9513/9898 9521/9693 8865/9904 +f 8884/9886 9526/9914 9524/9717 8876/9922 +f 8885/9919 9527/9916 9525/9721 8877/9726 +f 8840/9885 9516/9927 9526/9914 8884/9886 +f 8842/9932 9515/9929 9527/9916 8885/9919 +f 8796/9828 9507/9827 9530/9978 8934/9981 +f 8802/9812 9506/9831 9531/9985 8936/9988 +f 8939/9991 8934/9981 9530/9978 9532/9992 +f 8929/9974 8936/9988 9531/9985 9532/9992 +f 8841/9930 9515/9929 9533/9842 8942/9872 +f 8839/9928 9516/9927 9534/9905 8944/9845 +f 9057/10204 9560/9993 9538/9996 8958/10213 +f 9025/10002 9559/9997 9537/10000 8956/10003 +f 9954/10060 9958/10009 9540/10012 8965/10741 +f 9964/10006 9959/10013 9539/10016 8963/10007 +f 9068/10222 9563/10017 9535/10020 8951/10055 +f 9069/10026 9564/10021 9536/10024 8953/10027 +f 9052/10157 8958/10213 9538/9996 9561/10063 +f 9060/10034 8956/10003 9537/10000 9562/10065 +f 9012/10173 9558/10067 9567/10070 9083/10141 +f 9014/10072 9553/10079 9568/10082 9085/10073 +f 8999/10107 9548/10083 9543/10086 8976/10108 +f 9001/10091 9547/10098 9544/10101 8978/10092 +f 8978/10092 9544/10101 9546/10127 8988/10128 +f 8976/10108 9543/10086 9545/10131 8994/10112 +f 9083/10141 9567/10070 9547/10098 9001/10091 +f 9085/10073 9568/10082 9548/10083 8999/10107 +f 9134/10172 9572/10142 9558/10067 9012/10173 +f 8959/10059 9020/10061 9549/10160 9541/10159 +f 8961/10153 9016/10152 9550/10164 9542/10163 +f 9048/10168 9556/10175 9551/10178 9043/10169 +f 8953/10027 9536/10024 9556/10175 9048/10168 +f 9042/10056 9557/10197 9552/10198 9046/10203 +f 9136/10145 9573/10205 9553/10079 9014/10072 +f 9020/10061 9052/10157 9561/10063 9549/10160 +f 8951/10055 9535/10020 9557/10197 9042/10056 +f 9043/10169 9551/10178 9559/9997 9025/10002 +f 9016/10152 9060/10034 9562/10065 9550/10164 +f 9046/10203 9552/10198 9560/9993 9057/10204 +f 9076/10186 9565/10214 9563/10017 9068/10222 +f 9077/10219 9566/10216 9564/10021 9069/10026 +f 9032/10185 9555/10227 9565/10214 9076/10186 +f 9034/10232 9554/10229 9566/10216 9077/10219 +f 8988/10128 9546/10127 9569/10278 9126/10281 +f 8994/10112 9545/10131 9570/10285 9128/10288 +f 9131/10291 9126/10281 9569/10278 9571/10292 +f 9121/10274 9128/10288 9570/10285 9571/10292 +f 9033/10230 9554/10229 9572/10142 9134/10172 +f 9031/10228 9555/10227 9573/10205 9136/10145 +f 9249/10506 9599/10293 9577/10296 9150/10515 +f 9217/10302 9598/10297 9576/10300 9148/10303 +f 9961/10360 9971/10309 9579/10312 9157/10742 +f 9947/10306 9970/10313 9578/10316 9155/10307 +f 9260/10524 9602/10317 9574/10320 9143/10355 +f 9261/10326 9603/10321 9575/10324 9145/10327 +f 9244/10459 9150/10515 9577/10296 9600/10363 +f 9252/10334 9148/10303 9576/10300 9601/10365 +f 9204/10475 9597/10367 9606/10370 9275/10443 +f 9206/10372 9592/10379 9607/10382 9277/10373 +f 9191/10405 9587/10383 9582/10386 9168/10406 +f 9193/10391 9586/10396 9583/10399 9170/10392 +f 9170/10392 9583/10399 9585/10427 9180/10430 +f 9168/10406 9582/10386 9584/10433 9186/10410 +f 9275/10443 9606/10370 9586/10396 9193/10391 +f 9277/10373 9607/10382 9587/10383 9191/10405 +f 9326/10474 9611/10444 9597/10367 9204/10475 +f 9151/10359 9212/10361 9588/10462 9580/10461 +f 9153/10455 9208/10454 9589/10466 9581/10465 +f 9240/10470 9595/10477 9590/10480 9235/10471 +f 9145/10327 9575/10324 9595/10477 9240/10470 +f 9234/10356 9596/10499 9591/10500 9238/10505 +f 9328/10447 9612/10507 9592/10379 9206/10372 +f 9212/10361 9244/10459 9600/10363 9588/10462 +f 9143/10355 9574/10320 9596/10499 9234/10356 +f 9235/10471 9590/10480 9598/10297 9217/10302 +f 9208/10454 9252/10334 9601/10365 9589/10466 +f 9238/10505 9591/10500 9599/10293 9249/10506 +f 9268/10488 9604/10516 9602/10317 9260/10524 +f 9269/10521 9605/10518 9603/10321 9261/10326 +f 9224/10487 9594/10529 9604/10516 9268/10488 +f 9226/10534 9593/10531 9605/10518 9269/10521 +f 9180/10430 9585/10427 9608/10579 9318/10582 +f 9186/10410 9584/10433 9609/10585 9320/10587 +f 9323/10590 9318/10582 9608/10579 9610/10591 +f 9313/10576 9320/10587 9609/10585 9610/10591 +f 9225/10532 9593/10531 9611/10444 9326/10474 +f 9223/10530 9594/10529 9612/10507 9328/10447 +f 8713/9635 8703/9634 9613/9430 9627/9429 +f 8715/9637 8704/9636 9614/9436 9629/9435 +f 9932/9639 8706/9638 9616/9440 9936/9439 +f 8709/9640 9623/9475 9635/9478 8719/9641 +f 8708/9642 9618/9494 9634/9497 8707/9643 +f 8707/9643 9634/9497 9623/9475 8709/9640 +f 8719/9641 9635/9478 9624/9539 8710/9644 +f 8706/9638 8711/9645 9625/9554 9616/9440 +f 8757/9646 9650/9579 9628/9582 8714/9647 +f 8716/9649 8712/9648 9626/9588 9630/9587 +f 8718/9650 8714/9647 9628/9582 9632/9609 +f 8712/9648 8713/9635 9627/9429 9626/9588 +f 8711/9645 8715/9637 9629/9435 9625/9554 +f 8704/9636 8716/9649 9630/9587 9614/9436 +f 8703/9634 8717/9651 9631/9625 9613/9430 +f 8717/9651 8718/9650 9632/9609 9631/9625 +f 8634/10743 8678/10744 9638/9653 9640/9652 +f 9928/10745 8586/10746 9622/9655 9937/9654 +f 8586/10746 8634/10743 9640/9652 9622/9655 +f 8689/10747 8651/10748 9643/9657 9636/9656 +f 8595/10749 9617/9658 9642/9659 8619/10750 +f 8587/10751 8640/10752 9637/9661 9620/9660 +f 8588/10753 8681/10754 9639/9663 9619/9662 +f 8698/10755 9633/9664 9644/9665 8626/10756 +f 8666/10757 8588/10753 9619/9662 9645/9666 +f 8678/10744 8587/10751 9620/9660 9638/9653 +f 8646/10758 8666/10757 9645/9666 9646/9667 +f 8619/10750 9642/9659 9633/9664 8698/10755 +f 8602/10759 9641/9668 9617/9658 8595/10749 +f 8681/10754 8689/10747 9636/9656 9639/9663 +f 8749/10760 9651/9669 9643/9657 8651/10748 +f 8640/10752 8646/10758 9646/9667 9637/9661 +f 8727/9673 9641/9683 9648/9684 8746/9670 +f 8745/9677 9647/9686 9618/9687 8708/9676 +f 8746/9670 9648/9684 9649/9690 8738/9671 +f 8745/9677 8738/9671 9649/9690 9647/9686 +f 8710/9644 9624/9539 9650/9579 8757/9646 +f 8626/10756 9644/9665 9651/9669 8749/10760 +f 8905/9935 8895/9934 9652/9730 9666/9729 +f 8907/9937 8896/9936 9653/9736 9668/9735 +f 9945/9939 8898/9938 9655/9740 9949/9739 +f 8901/9940 9662/9775 9674/9778 8911/9941 +f 8900/9942 9657/9794 9673/9797 8899/9943 +f 8899/9943 9673/9797 9662/9775 8901/9940 +f 8911/9941 9674/9778 9663/9839 8902/9944 +f 8898/9938 8903/9945 9664/9854 9655/9740 +f 8949/9946 9689/9879 9667/9882 8906/9947 +f 8908/9949 8904/9948 9665/9888 9669/9887 +f 8910/9950 8906/9947 9667/9882 9671/9909 +f 8904/9948 8905/9935 9666/9729 9665/9888 +f 8903/9945 8907/9937 9668/9735 9664/9854 +f 8896/9936 8908/9949 9669/9887 9653/9736 +f 8895/9934 8909/9951 9670/9925 9652/9730 +f 8909/9951 8910/9950 9671/9909 9670/9925 +f 8826/10761 8870/10762 9677/9953 9679/9952 +f 9941/10763 8778/10764 9661/9955 9948/9954 +f 8778/10764 8826/10761 9679/9952 9661/9955 +f 8881/10765 8843/10766 9682/9957 9675/9956 +f 8787/10767 9656/9958 9681/9959 8811/10768 +f 8779/10769 8832/10770 9676/9961 9659/9960 +f 8780/10771 8873/10772 9678/9963 9658/9962 +f 8890/10773 9672/9964 9683/9965 8818/10774 +f 8858/10775 8780/10771 9658/9962 9684/9966 +f 8870/10762 8779/10769 9659/9960 9677/9953 +f 8838/10776 8858/10775 9684/9966 9685/9967 +f 8811/10768 9681/9959 9672/9964 8890/10773 +f 8794/10777 9680/9968 9656/9958 8787/10767 +f 8873/10772 8881/10765 9675/9956 9678/9963 +f 8941/10778 9690/9969 9682/9957 8843/10766 +f 8832/10770 8838/10776 9685/9967 9676/9961 +f 8919/9973 9680/9983 9687/9984 8938/9970 +f 8937/9977 9686/9986 9657/9987 8900/9976 +f 8938/9970 9687/9984 9688/9990 8930/9971 +f 8937/9977 8930/9971 9688/9990 9686/9986 +f 8902/9944 9663/9839 9689/9879 8949/9946 +f 8818/10774 9683/9965 9690/9969 8941/10778 +f 9097/10235 9087/10234 9691/10030 9705/10029 +f 9099/10237 9088/10236 9692/10036 9707/10035 +f 9956/10239 9090/10238 9694/10040 9950/10039 +f 9093/10240 9701/10075 9713/10078 9103/10241 +f 9092/10242 9696/10094 9712/10097 9091/10243 +f 9091/10243 9712/10097 9701/10075 9093/10240 +f 9103/10241 9713/10078 9702/10139 9094/10244 +f 9090/10238 9095/10245 9703/10154 9694/10040 +f 9141/10246 9728/10179 9706/10182 9098/10247 +f 9100/10249 9096/10248 9704/10188 9708/10187 +f 9102/10250 9098/10247 9706/10182 9710/10209 +f 9096/10248 9097/10235 9705/10029 9704/10188 +f 9095/10245 9099/10237 9707/10035 9703/10154 +f 9088/10236 9100/10249 9708/10187 9692/10036 +f 9087/10234 9101/10251 9709/10225 9691/10030 +f 9101/10251 9102/10250 9710/10209 9709/10225 +f 9018/10779 9062/10780 9716/10253 9718/10252 +f 9952/10781 8970/10782 9700/10255 9951/10254 +f 8970/10782 9018/10779 9718/10252 9700/10255 +f 9073/10783 9035/10784 9721/10257 9714/10256 +f 8979/10785 9695/10258 9720/10259 9003/10786 +f 8971/10787 9024/10788 9715/10261 9698/10260 +f 8972/10789 9065/10790 9717/10263 9697/10262 +f 9082/10791 9711/10264 9722/10265 9010/10792 +f 9050/10793 8972/10789 9697/10262 9723/10266 +f 9062/10780 8971/10787 9698/10260 9716/10253 +f 9030/10794 9050/10793 9723/10266 9724/10267 +f 9003/10786 9720/10259 9711/10264 9082/10791 +f 8986/10795 9719/10268 9695/10258 8979/10785 +f 9065/10790 9073/10783 9714/10256 9717/10263 +f 9133/10796 9729/10269 9721/10257 9035/10784 +f 9024/10788 9030/10794 9724/10267 9715/10261 +f 9111/10273 9719/10283 9726/10284 9130/10270 +f 9129/10277 9725/10286 9696/10287 9092/10276 +f 9130/10270 9726/10284 9727/10290 9122/10271 +f 9129/10277 9122/10271 9727/10290 9725/10286 +f 9094/10244 9702/10139 9728/10179 9141/10246 +f 9010/10792 9722/10265 9729/10269 9133/10796 +f 9289/10537 9279/10536 9730/10330 9744/10329 +f 9291/10539 9280/10538 9731/10336 9746/10335 +f 9979/10541 9282/10540 9733/10340 9967/10339 +f 9285/10542 9740/10375 9752/10378 9295/10543 +f 9284/10544 9735/10394 9751/10395 9283/10545 +f 9283/10546 9751/10428 9740/10375 9285/10542 +f 9295/10543 9752/10378 9741/10441 9286/10547 +f 9282/10540 9287/10548 9742/10456 9733/10340 +f 9333/10549 9767/10481 9745/10484 9290/10550 +f 9292/10552 9288/10551 9743/10490 9747/10489 +f 9294/10553 9290/10550 9745/10484 9749/10511 +f 9288/10551 9289/10537 9744/10329 9743/10490 +f 9287/10548 9291/10539 9746/10335 9742/10456 +f 9280/10538 9292/10552 9747/10489 9731/10336 +f 9279/10536 9293/10554 9748/10527 9730/10330 +f 9293/10554 9294/10553 9749/10511 9748/10527 +f 9210/10343 9254/10458 9755/10556 9757/10555 +f 9976/10349 9162/10344 9739/10558 9966/10557 +f 9162/10344 9210/10343 9757/10555 9739/10558 +f 9265/10522 9227/10535 9760/10560 9753/10559 +f 9171/10393 9734/10561 9759/10562 9195/10390 +f 9163/10352 9216/10351 9754/10564 9737/10563 +f 9164/10348 9257/10347 9756/10566 9736/10565 +f 9274/10442 9750/10567 9761/10568 9202/10476 +f 9242/10501 9164/10348 9736/10565 9762/10569 +f 9254/10458 9163/10352 9737/10563 9755/10556 +f 9222/10502 9242/10501 9762/10569 9763/10570 +f 9195/10390 9759/10562 9750/10567 9274/10442 +f 9178/10431 9758/10571 9734/10572 9171/10393 +f 9257/10347 9265/10522 9753/10559 9756/10566 +f 9325/10473 9768/10573 9760/10560 9227/10535 +f 9216/10351 9222/10502 9763/10570 9754/10564 +f 9303/10400 9758/10571 9765/10584 9322/10574 +f 9321/10578 9764/10586 9735/10394 9284/10544 +f 9322/10574 9765/10584 9766/10589 9314/10575 +f 9321/10578 9314/10575 9766/10589 9764/10586 +f 9286/10547 9741/10441 9767/10481 9333/10549 +f 9202/10476 9761/10568 9768/10573 9325/10473 +f 8992/10008 8963/10007 9784/10797 9785/10798 +f 8925/10799 8805/10800 9780/10801 9782/10802 +f 9793/10803 9789/10804 9154/10311 9184/10308 +f 9800/10805 9792/10806 9161/10350 9738/10807 +f 9462/9412 8578/9411 9769/10808 9797/10809 +f 9799/10810 9775/10811 8705/10812 9615/10813 +f 9184/10308 9155/10307 9790/10814 9793/10803 +f 9798/10815 9790/10814 9155/10307 9578/10316 +f 9309/10816 9189/10817 9794/10818 9796/10819 +f 9738/10807 9309/10816 9796/10819 9800/10805 +f 9117/10820 8997/10821 9786/10822 9788/10823 +f 9797/10809 9771/10824 8581/10739 9462/9412 +f 9781/10825 9780/10801 8805/10800 8897/10826 +f 9779/10827 9777/10828 8770/9711 8800/9708 +f 9775/10811 9774/10829 8613/10830 8705/10812 +f 9795/10831 9794/10818 9189/10817 9281/10832 +f 9615/10813 8589/10833 9772/10834 9799/10810 +f 9787/10835 9786/10822 8997/10821 9089/10836 +f 8800/9708 8771/9707 9778/10837 9779/10827 +f 9773/10838 9769/10808 8578/9411 8608/9408 +f 9771/10824 9772/10839 8589/10840 8581/10739 +f 9792/10806 9791/10841 9156/10315 9161/10350 +f 9578/10316 9156/10315 9791/10841 9798/10815 +f 8733/10842 8613/10830 9774/10829 9776/10843 +f 9785/10798 9783/10844 8962/10011 8992/10008 +f 8608/9408 8579/9407 9770/10845 9773/10838 +f 10477/10846 10476/10847 9786/10822 9787/10835 +f 10480/10848 10479/10849 9811/10850 9813/10851 +f 10481/10852 10482/10853 9794/10818 9795/10831 +f 9822/10854 9824/10855 9859/10856 9877/10857 +f 10475/10858 10479/10849 9780/10801 9781/10825 +f 10485/10859 10476/10847 9817/10860 9819/10861 +f 10484/10862 10478/10863 9805/10864 9807/10865 +f 9833/10866 9836/10867 9812/10868 9807/10865 +f 9819/10861 9828/10869 10330/10870 9825/10871 +f 9539/10016 9923/10872 9784/10797 8963/10007 +f 9833/10866 9807/10865 9805/10864 9832/10873 +f 9833/10866 9832/10873 9846/10874 9849/10875 +f 9813/10851 9811/10850 9835/10876 9837/10877 +f 9845/10878 9829/10879 9803/10880 9826/10881 +f 9836/10867 9835/10876 9811/10850 9812/10868 +f 9863/10882 9540/10012 8962/10011 9783/10844 +f 9855/10883 9828/10869 9889/10884 9853/10885 +f 9851/10886 9850/10887 9835/10876 9836/10867 +f 9828/10869 9819/10861 9817/10860 9889/10884 +f 9837/10877 9835/10876 9850/10887 9852/10888 +f 9878/10889 9875/10890 9856/10891 9860/10892 +f 9918/10893 9912/10894 9882/10895 9866/10896 +f 9860/10892 9857/10897 9876/10898 9878/10889 +f 9912/10894 9893/10899 9892/10900 9882/10895 +f 9884/10901 9892/10900 9893/10899 9894/10902 +f 10536/10903 10520/10904 9904/10905 10334/10906 +f 9868/10907 9884/10901 9894/10902 9913/10908 +f 10334/10906 9904/10905 9901/10909 10342/10910 +f 9866/10896 9883/10911 9911/10912 9918/10893 +f 10335/10913 10344/10914 9921/10915 9915/10916 +f 10336/10917 10340/10918 9896/10919 9907/10920 +f 10337/10921 10332/10922 9908/10923 9914/10924 +f 10344/10914 10341/10925 9864/10926 9921/10915 +f 9911/10912 9917/10927 9843/10928 9922/10929 +f 9500/9716 9906/10930 9778/10837 8771/9707 +f 10340/10918 10332/10922 9899/10931 9896/10919 +f 10331/10932 10337/10921 9914/10924 9920/10933 +f 10336/10917 10335/10913 9915/10916 9844/10934 +f 9890/10935 9842/10936 9893/10899 9912/10894 +f 9917/10927 9919/10937 9830/10938 9843/10928 +f 10250/10939 9860/10892 9856/10891 10249/10940 +f 9883/10911 9867/10941 9917/10927 9911/10912 +f 9856/10891 9913/10908 9881/10942 10249/10940 +f 8609/9550 8577/9553 9926/9406 9930/9405 +f 9463/9559 8582/9562 9925/9410 9934/9409 +f 9464/9563 8576/9445 9927/9414 9935/9413 +f 9615/10813 9936/9439 9929/9442 8589/10833 +f 8586/9444 9928/9449 9927/9414 8576/9445 +f 8589/10840 9929/9457 9924/9460 8581/10739 +f 8582/9562 8609/9550 9930/9405 9925/9410 +f 8733/10842 9933/9521 9931/9524 8613/10830 +f 8613/10830 9931/9524 9932/9639 8705/10812 +f 9621/10943 9937/9654 9933/9521 8733/10842 +f 8575/9459 9463/9559 9934/9409 9924/9460 +f 8577/9553 9464/9563 9935/9413 9926/9406 +f 8705/10812 9932/9639 9936/9439 9615/10813 +f 8585/10944 9928/10745 9937/9654 9621/10943 +f 9660/10945 9948/9954 9944/9821 8925/10799 +f 9502/9859 8774/9862 9974/9710 9943/9709 +f 9503/9863 8768/9745 9972/9714 9942/9713 +f 8778/9744 9941/9749 9972/9714 8768/9745 +f 8970/10044 9952/10049 9965/10014 8960/10045 +f 9654/10946 9949/9739 9940/9742 8781/10947 +f 9699/10948 9951/10254 9957/10121 9117/10820 +f 8997/10821 9963/10124 9956/10239 9089/10836 +f 8925/10799 9944/9821 9938/9824 8805/10800 +f 8966/10162 8993/10150 9962/10005 9955/10010 +f 8897/10826 9945/9939 9949/9739 9654/10946 +f 8769/9853 9503/9863 9942/9713 9973/9706 +f 9542/10163 8960/10045 9965/10014 9959/10013 +f 8767/9759 9502/9859 9943/9709 9975/9760 +f 9541/10159 8966/10162 9955/10010 9958/10009 +f 8777/10949 9941/10763 9948/9954 9660/10945 +f 8805/10800 9938/9824 9945/9939 8897/10826 +f 9189/10817 9968/10422 9979/10541 9281/10832 +f 8774/9862 8801/9850 9939/9705 9974/9710 +f 8781/10950 9940/9757 9975/9760 8773/10740 +f 9089/10836 9956/10239 9950/10039 9693/10951 +f 8801/9850 8769/9853 9973/9706 9939/9705 +f 8969/10952 9952/10781 9951/10254 9699/10948 +f 9309/10816 9978/10419 9968/10422 9189/10817 +f 9693/10951 9950/10039 9953/10042 8973/10953 +f 9185/10452 9153/10455 9947/10306 9969/10305 +f 9732/10954 9967/10339 9977/10342 9165/10955 +f 9580/10461 9158/10464 9960/10310 9971/10309 +f 8961/10153 9542/10163 9959/10013 9964/10006 +f 8973/10956 9953/10057 9954/10060 8965/10741 +f 8993/10150 8961/10153 9964/10006 9962/10005 +f 8959/10059 9541/10159 9958/10009 9954/10060 +f 9117/10820 9957/10121 9963/10124 8997/10821 +f 9153/10455 9581/10465 9970/10313 9947/10306 +f 9158/10464 9185/10452 9969/10305 9960/10310 +f 9281/10832 9979/10541 9967/10339 9732/10954 +f 9738/10807 9966/10557 9978/10419 9309/10816 +f 9151/10359 9580/10461 9971/10309 9961/10360 +f 9161/10350 9976/10349 9966/10557 9738/10807 +f 9165/10957 9977/10357 9961/10360 9157/10742 +f 9581/10465 9152/10345 9946/10314 9970/10313 +f 9162/10344 9976/10349 9946/10314 9152/10345 +f 9995/10958 9985/10959 8423/9242 8433/9241 +f 9988/10960 9987/10961 8425/9244 8426/9243 +f 9980/10962 9990/10963 8428/9246 8418/9245 +f 9987/10961 9991/10964 8429/9247 8425/9244 +f 8421/9249 8422/9248 9984/10965 9983/10966 +f 8434/9250 8430/9251 9992/10967 9996/10968 +f 9991/10964 9992/10967 8430/9251 8429/9247 +f 8422/9248 8423/9242 9985/10959 9984/10965 +f 10521/10969 9993/10970 8431/9253 10519/9252 +f 9986/10971 9980/10962 8418/9245 8424/9254 +f 8424/9254 8419/9255 9981/10972 9986/10971 +f 9993/10970 9994/10973 8432/9256 8431/9253 +f 9990/10963 9989/10974 8427/9257 8428/9246 +f 8419/9255 8420/9258 9982/10975 9981/10972 +f 9994/10973 9995/10958 8433/9241 8432/9256 +f 9989/10974 9988/10960 8426/9243 8427/9257 +f 10008/10976 10009/10977 9992/10967 9991/10964 +f 9984/10965 9985/10959 10002/10978 10001/10979 +f 10522/10980 10010/10981 9993/10970 10521/10969 +f 10003/10982 9997/10983 9980/10962 9986/10971 +f 9986/10971 9981/10972 9998/10984 10003/10982 +f 10010/10981 10011/10985 9994/10973 9993/10970 +f 10007/10986 10006/10987 9989/10974 9990/10963 +f 9981/10972 9982/10975 9999/10988 9998/10984 +f 10011/10985 10012/10989 9995/10958 9994/10973 +f 10006/10987 10005/10990 9988/10960 9989/10974 +f 10012/10989 10002/10978 9985/10959 9995/10958 +f 10005/10990 10004/10991 9987/10961 9988/10960 +f 9997/10983 10007/10986 9990/10963 9980/10962 +f 10004/10991 10008/10976 9991/10964 9987/10961 +f 9983/10966 9984/10965 10001/10979 10000/10992 +f 9996/10968 9992/10967 10009/10977 10013/10993 +f 10523/10994 10027/10995 10010/10981 10522/10980 +f 10020/10996 10014/10997 9997/10983 10003/10982 +f 10003/10982 9998/10984 10015/10998 10020/10996 +f 10027/10995 10028/10999 10011/10985 10010/10981 +f 10024/11000 10023/11001 10006/10987 10007/10986 +f 9998/10984 9999/10988 10016/11002 10015/10998 +f 10028/10999 10029/11003 10012/10989 10011/10985 +f 10023/11001 10022/11004 10005/10990 10006/10987 +f 10029/11003 10019/11005 10002/10978 10012/10989 +f 10022/11004 10021/11006 10004/10991 10005/10990 +f 10014/10997 10024/11000 10007/10986 9997/10983 +f 10021/11006 10025/11007 10008/10976 10004/10991 +f 10000/10992 10001/10979 10018/11008 10017/11009 +f 10013/10993 10009/10977 10026/11010 10030/11011 +f 10025/11007 10026/11010 10009/10977 10008/10976 +f 10001/10979 10002/10978 10019/11005 10018/11008 +f 10044/11012 10045/11013 10028/10999 10027/10995 +f 10041/11014 10040/11015 10023/11001 10024/11000 +f 10015/10998 10016/11002 10033/11016 10032/11017 +f 10045/11013 10046/11018 10029/11003 10028/10999 +f 10040/11015 10039/11019 10022/11004 10023/11001 +f 10046/11018 10036/11020 10019/11005 10029/11003 +f 10039/11019 10038/11021 10021/11006 10022/11004 +f 10031/11022 10041/11014 10024/11000 10014/10997 +f 10038/11021 10042/11023 10025/11007 10021/11006 +f 10017/11009 10018/11008 10035/11024 10034/11025 +f 10030/11011 10026/11010 10043/11026 10047/11027 +f 10042/11023 10043/11026 10026/11010 10025/11007 +f 10018/11008 10019/11005 10036/11020 10035/11024 +f 10524/11028 10044/11012 10027/10995 10523/10994 +f 10037/11029 10031/11022 10014/10997 10020/10996 +f 10020/10996 10015/10998 10032/11017 10037/11029 +f 10525/11030 10061/11031 10044/11012 10524/11028 +f 10054/11032 10048/11033 10031/11022 10037/11029 +f 10037/11029 10032/11017 10049/11034 10054/11032 +f 10061/11031 10062/11035 10045/11013 10044/11012 +f 10058/11036 10057/11037 10040/11015 10041/11014 +f 10032/11017 10033/11016 10050/11038 10049/11034 +f 10062/11035 10063/11039 10046/11018 10045/11013 +f 10057/11037 10056/11040 10039/11019 10040/11015 +f 10063/11039 10053/11041 10036/11020 10046/11018 +f 10056/11040 10055/11042 10038/11021 10039/11019 +f 10048/11033 10058/11036 10041/11014 10031/11022 +f 10055/11042 10059/11043 10042/11023 10038/11021 +f 10034/11025 10035/11024 10052/11044 10051/11045 +f 10047/11027 10043/11026 10060/11046 10064/11047 +f 10059/11043 10060/11046 10043/11026 10042/11023 +f 10035/11024 10036/11020 10053/11041 10052/11044 +f 10078/11048 10079/11049 10062/11035 10061/11031 +f 10075/11050 10074/11051 10057/11037 10058/11036 +f 10049/11034 10050/11038 10067/11052 10066/11053 +f 10079/11049 10080/11054 10063/11039 10062/11035 +f 10074/11051 10073/11055 10056/11040 10057/11037 +f 10080/11054 10070/11056 10053/11041 10063/11039 +f 10073/11055 10072/11057 10055/11042 10056/11040 +f 10065/11058 10075/11050 10058/11036 10048/11033 +f 10072/11057 10076/11059 10059/11043 10055/11042 +f 10051/11045 10052/11044 10069/11060 10068/11061 +f 10064/11047 10060/11046 10077/11062 10081/11063 +f 10076/11059 10077/11062 10060/11046 10059/11043 +f 10052/11044 10053/11041 10070/11056 10069/11060 +f 10526/11064 10078/11048 10061/11031 10525/11030 +f 10071/11065 10065/11058 10048/11033 10054/11032 +f 10054/11032 10049/11034 10066/11053 10071/11065 +f 10096/11066 10097/11067 10080/11054 10079/11049 +f 10091/11068 10090/11069 10073/11055 10074/11051 +f 10097/11067 10087/11070 10070/11056 10080/11054 +f 10090/11069 10089/11071 10072/11057 10073/11055 +f 10082/11072 10092/11073 10075/11050 10065/11058 +f 10089/11071 10093/11074 10076/11059 10072/11057 +f 10068/11061 10069/11060 10086/11075 10085/11076 +f 10081/11063 10077/11062 10094/11077 10098/11078 +f 10093/11074 10094/11077 10077/11062 10076/11059 +f 10069/11060 10070/11056 10087/11070 10086/11075 +f 10527/11079 10095/11080 10078/11048 10526/11064 +f 10088/11081 10082/11072 10065/11058 10071/11065 +f 10071/11065 10066/11053 10083/11082 10088/11081 +f 10095/11080 10096/11066 10079/11049 10078/11048 +f 10092/11073 10091/11068 10074/11051 10075/11050 +f 10066/11053 10067/11052 10084/11083 10083/11082 +f 10114/11084 10104/11085 10087/11070 10097/11067 +f 10107/11086 10106/11087 10089/11071 10090/11069 +f 10099/11088 10109/11089 10092/11073 10082/11072 +f 10106/11087 10110/11090 10093/11074 10089/11071 +f 10085/11076 10086/11075 10103/11091 10102/11092 +f 10098/11078 10094/11077 10111/11093 10115/11094 +f 10110/11090 10111/11093 10094/11077 10093/11074 +f 10086/11075 10087/11070 10104/11085 10103/11091 +f 10528/11095 10112/11096 10095/11080 10527/11079 +f 10105/11097 10099/11088 10082/11072 10088/11081 +f 10088/11081 10083/11082 10100/11098 10105/11097 +f 10112/11096 10113/11099 10096/11066 10095/11080 +f 10109/11089 10108/11100 10091/11068 10092/11073 +f 10083/11082 10084/11083 10101/11101 10100/11098 +f 10113/11099 10114/11084 10097/11067 10096/11066 +f 10108/11100 10107/11086 10090/11069 10091/11068 +f 10116/11102 10126/11103 10109/11089 10099/11088 +f 10123/11104 10127/11105 10110/11090 10106/11087 +f 10102/11092 10103/11091 10120/11106 10119/11107 +f 10115/11094 10111/11093 10128/11108 10132/11109 +f 10127/11105 10128/11108 10111/11093 10110/11090 +f 10103/11091 10104/11085 10121/11110 10120/11106 +f 10529/11111 10129/11112 10112/11096 10528/11095 +f 10122/11113 10116/11102 10099/11088 10105/11097 +f 10105/11097 10100/11098 10117/11114 10122/11113 +f 10129/11112 10130/11115 10113/11099 10112/11096 +f 10126/11103 10125/11116 10108/11100 10109/11089 +f 10100/11098 10101/11101 10118/11117 10117/11114 +f 10130/11115 10131/11118 10114/11084 10113/11099 +f 10125/11116 10124/11119 10107/11086 10108/11100 +f 10131/11118 10121/11110 10104/11085 10114/11084 +f 10124/11119 10123/11104 10106/11087 10107/11086 +f 10132/11109 10128/11108 10145/11120 10149/11121 +f 10144/11122 10145/11120 10128/11108 10127/11105 +f 10120/11106 10121/11110 10138/11123 10137/11124 +f 10530/11125 10146/11126 10129/11112 10529/11111 +f 10139/11127 10133/11128 10116/11102 10122/11113 +f 10122/11113 10117/11114 10134/11129 10139/11127 +f 10146/11126 10147/11130 10130/11115 10129/11112 +f 10143/11131 10142/11132 10125/11116 10126/11103 +f 10117/11114 10118/11117 10135/11133 10134/11129 +f 10147/11130 10148/11134 10131/11118 10130/11115 +f 10142/11132 10141/11135 10124/11119 10125/11116 +f 10148/11134 10138/11123 10121/11110 10131/11118 +f 10141/11135 10140/11136 10123/11104 10124/11119 +f 10133/11128 10143/11131 10126/11103 10116/11102 +f 10140/11136 10144/11122 10127/11105 10123/11104 +f 10119/11107 10120/11106 10137/11124 10136/11137 +f 10531/11138 10163/11139 10146/11126 10530/11125 +f 10156/11140 10150/11141 10133/11128 10139/11127 +f 10139/11127 10134/11129 10151/11142 10156/11140 +f 10163/11139 10164/11143 10147/11130 10146/11126 +f 10160/11144 10159/11145 10142/11132 10143/11131 +f 10134/11129 10135/11133 10152/11146 10151/11142 +f 10164/11143 10165/11147 10148/11134 10147/11130 +f 10159/11145 10158/11148 10141/11135 10142/11132 +f 10165/11147 10155/11149 10138/11123 10148/11134 +f 10158/11148 10157/11150 10140/11136 10141/11135 +f 10150/11141 10160/11144 10143/11131 10133/11128 +f 10157/11150 10161/11151 10144/11122 10140/11136 +f 10136/11137 10137/11124 10154/11152 10153/11153 +f 10149/11121 10145/11120 10162/11154 10166/11155 +f 10161/11151 10162/11154 10145/11120 10144/11122 +f 10137/11124 10138/11123 10155/11149 10154/11152 +f 10180/11156 10181/11157 10164/11143 10163/11139 +f 10177/11158 10176/11159 10159/11145 10160/11144 +f 10151/11142 10152/11146 10169/11160 10168/11161 +f 10181/11157 10182/11162 10165/11147 10164/11143 +f 10176/11159 10175/11163 10158/11148 10159/11145 +f 10182/11162 10172/11164 10155/11149 10165/11147 +f 10175/11163 10174/11165 10157/11150 10158/11148 +f 10167/11166 10177/11158 10160/11144 10150/11141 +f 10174/11165 10178/11167 10161/11151 10157/11150 +f 10153/11153 10154/11152 10171/11168 10170/11169 +f 10166/11155 10162/11154 10179/11170 10183/11171 +f 10178/11167 10179/11170 10162/11154 10161/11151 +f 10154/11152 10155/11149 10172/11164 10171/11168 +f 10532/11172 10180/11156 10163/11139 10531/11138 +f 10173/11173 10167/11166 10150/11141 10156/11140 +f 10156/11140 10151/11142 10168/11161 10173/11173 +f 10198/11174 10199/11175 10182/11162 10181/11157 +f 10193/11176 10192/11177 10175/11163 10176/11159 +f 10199/11175 10189/11178 10172/11164 10182/11162 +f 10192/11177 10191/11179 10174/11165 10175/11163 +f 10184/11180 10194/11181 10177/11158 10167/11166 +f 10191/11179 10195/11182 10178/11167 10174/11165 +f 10170/11169 10171/11168 10188/11183 10187/11184 +f 10183/11171 10179/11170 10196/11185 10200/11186 +f 10195/11182 10196/11185 10179/11170 10178/11167 +f 10171/11168 10172/11164 10189/11178 10188/11183 +f 10533/11187 10197/11188 10180/11156 10532/11172 +f 10190/11189 10184/11180 10167/11166 10173/11173 +f 10173/11173 10168/11161 10185/11190 10190/11189 +f 10197/11188 10198/11174 10181/11157 10180/11156 +f 10194/11181 10193/11176 10176/11159 10177/11158 +f 10168/11161 10169/11160 10186/11191 10185/11190 +f 10216/11192 10206/11193 10189/11178 10199/11175 +f 10209/11194 10208/11195 10191/11179 10192/11177 +f 10201/11196 10211/11197 10194/11181 10184/11180 +f 10208/11195 10212/11198 10195/11182 10191/11179 +f 10187/11184 10188/11183 10205/11199 10204/11200 +f 10200/11186 10196/11185 10213/11201 10217/11202 +f 10212/11198 10213/11201 10196/11185 10195/11182 +f 10188/11183 10189/11178 10206/11193 10205/11199 +f 10534/11203 10214/11204 10197/11188 10533/11187 +f 10207/11205 10201/11196 10184/11180 10190/11189 +f 10190/11189 10185/11190 10202/11206 10207/11205 +f 10214/11204 10215/11207 10198/11174 10197/11188 +f 10211/11197 10210/11208 10193/11176 10194/11181 +f 10185/11190 10186/11191 10203/11209 10202/11206 +f 10215/11207 10216/11192 10199/11175 10198/11174 +f 10210/11208 10209/11194 10192/11177 10193/11176 +f 10550/11210 10549/11211 10211/11197 10201/11196 +f 10552/11212 10551/11213 10212/11198 10208/11195 +f 10554/11214 10553/11215 10222/11216 10221/11217 +f 10556/11218 10555/11219 10230/11220 10234/11221 +f 10551/11213 10555/11219 10213/11201 10212/11198 +f 10553/11215 10557/11222 10223/11223 10222/11216 +f 10568/11224 10558/11225 10214/11204 10534/11203 +f 10559/11226 10550/11210 10201/11196 10207/11205 +f 10559/11226 10560/11227 10219/11228 10224/11229 +f 10558/11225 10561/11230 10215/11207 10214/11204 +f 10549/11211 10562/11231 10210/11208 10211/11197 +f 10560/11227 10563/11232 10220/11233 10219/11228 +f 10561/11230 10564/11234 10216/11192 10215/11207 +f 10562/11231 10565/11235 10209/11194 10210/11208 +f 10564/11234 10557/11222 10206/11193 10216/11192 +f 10565/11235 10552/11212 10208/11195 10209/11194 +f 9913/10908 9894/10902 10247/11236 9881/10942 +f 9918/10893 9911/10912 9922/10929 9834/11237 +f 9826/10881 9830/10938 9919/10937 9845/10878 +f 9834/11237 9890/10935 9912/10894 9918/10893 +f 9816/11238 10247/11236 9842/10936 9814/11239 +f 9810/11240 9834/11237 9922/10929 9808/11241 +f 9894/10902 9893/10899 9842/10936 10247/11236 +f 9823/11242 9793/10803 9790/10814 9821/11243 +f 10245/11244 9501/9712 8770/9711 9777/10828 +f 9461/9416 10246/11245 9770/10845 8579/9407 +f 9501/9712 9461/9416 8580/9415 8773/10740 +f 9461/9416 9501/9712 10245/11244 10246/11245 +f 9793/10803 9823/11242 9820/11246 9789/10804 +f 10249/10940 10248/11247 9789/10804 9820/11246 +f 9540/10012 9500/9716 8772/9715 8965/10741 +f 10247/11236 9816/11238 9815/11248 9881/10942 +f 9500/9716 9540/10012 9863/10882 9906/10930 +f 9881/10942 9923/10872 10248/11247 10249/10940 +f 10250/10939 9823/11242 9821/11243 9827/11249 +f 9860/10892 10250/10939 9827/11249 9857/10897 +f 10248/11247 9579/10312 9154/10311 9789/10804 +f 9539/10016 9579/10312 10248/11247 9923/10872 +f 9579/10312 9539/10016 8964/10015 9157/10742 +f 9823/11242 10250/10939 10249/10940 9820/11246 +f 9838/11250 9854/11251 9853/10885 9889/10884 +f 10579/11252 10219/11253 10220/11254 10580/11255 +f 10578/11256 10224/11257 10219/11253 10579/11252 +f 9384/10608 9386/10610 10255/11258 10253/11259 +f 10259/11260 10256/11261 9387/10687 9390/10694 +f 10260/11262 10252/11263 9383/10654 9420/10602 +f 9432/10651 9383/10654 10252/11263 10261/11264 +f 10257/11265 10258/11266 9389/10693 9388/10688 +f 10256/11261 10257/11265 9388/10688 9387/10687 +f 10261/11264 10259/11267 9390/10721 9432/10651 +f 10258/11266 10254/11268 9385/10692 9389/10693 +f 9420/10602 9384/10605 10253/11269 10260/11262 +f 10254/11268 10255/11258 9386/10610 9385/10692 +f 10268/11270 10264/11271 10254/11268 10258/11266 +f 10264/11271 10265/11272 10255/11258 10254/11268 +f 10260/11262 10253/11269 10263/11273 10270/11274 +f 10269/11275 10266/11276 10256/11261 10259/11260 +f 10253/11259 10255/11258 10265/11272 10263/11277 +f 10270/11274 10262/11278 10252/11263 10260/11262 +f 10261/11264 10252/11263 10262/11278 10271/11279 +f 10271/11279 10269/11280 10259/11267 10261/11264 +f 10267/11281 10268/11270 10258/11266 10257/11265 +f 10266/11276 10267/11281 10257/11265 10256/11261 +f 10277/11282 10278/11283 10268/11270 10267/11281 +f 10276/11284 10277/11282 10267/11281 10266/11276 +f 10278/11283 10274/11285 10264/11271 10268/11270 +f 10274/11285 10275/11286 10265/11272 10264/11271 +f 10270/11274 10263/11273 10273/11287 10280/11288 +f 10279/11289 10276/11284 10266/11276 10269/11275 +f 10263/11277 10265/11272 10275/11286 10273/11290 +f 10280/11288 10272/11291 10262/11278 10270/11274 +f 10271/11279 10262/11278 10272/11291 10281/11292 +f 10281/11292 10279/11293 10269/11280 10271/11279 +f 10290/11294 10282/11295 10272/11291 10280/11288 +f 10281/11292 10272/11291 10282/11295 10291/11296 +f 10291/11296 10289/11297 10279/11293 10281/11292 +f 10287/11298 10288/11299 10278/11283 10277/11282 +f 10286/11300 10287/11298 10277/11282 10276/11284 +f 10288/11299 10284/11301 10274/11285 10278/11283 +f 10284/11301 10285/11302 10275/11286 10274/11285 +f 10280/11288 10273/11287 10283/11303 10290/11294 +f 10289/11304 10286/11300 10276/11284 10279/11289 +f 10273/11290 10275/11286 10285/11302 10283/11305 +f 10290/11294 10283/11303 10293/11306 10300/11307 +f 10299/11308 10296/11309 10286/11300 10289/11304 +f 10283/11305 10285/11302 10295/11310 10293/11311 +f 10300/11307 10292/11312 10282/11295 10290/11294 +f 10291/11296 10282/11295 10292/11312 10301/11313 +f 10301/11313 10299/11314 10289/11297 10291/11296 +f 10297/11315 10298/11316 10288/11299 10287/11298 +f 10296/11309 10297/11315 10287/11298 10286/11300 +f 10298/11316 10294/11317 10284/11301 10288/11299 +f 10294/11317 10295/11310 10285/11302 10284/11301 +f 10308/11318 10304/11319 10294/11317 10298/11316 +f 10304/11319 10305/11320 10295/11310 10294/11317 +f 10300/11307 10293/11306 10303/11321 10310/11322 +f 10309/11323 10306/11324 10296/11309 10299/11308 +f 10293/11311 10295/11310 10305/11320 10303/11325 +f 10310/11322 10302/11326 10292/11312 10300/11307 +f 10301/11313 10292/11312 10302/11326 10311/11327 +f 10311/11327 10309/11328 10299/11314 10301/11313 +f 10307/11329 10308/11318 10298/11316 10297/11315 +f 10306/11324 10307/11329 10297/11315 10296/11309 +f 9841/11330 10305/11320 10304/11319 9840/11331 +f 9861/11332 10303/11325 10305/11320 9841/11330 +f 9873/11333 9872/11334 10314/11335 10315/11336 +f 9872/11334 9871/11337 10313/11338 10314/11335 +f 9871/11339 9870/11340 10312/11341 10313/11342 +f 10315/11336 10314/11335 10316/11343 10317/11344 +f 10317/11344 10316/11343 10318/11345 10319/11346 +f 10319/11346 10318/11345 10321/11347 10322/11348 +f 9885/11349 10492/11350 10347/11351 10493/11352 +f 10322/11348 10321/11347 10324/11353 10325/11354 +f 10325/11354 10324/11353 10327/11355 10328/11356 +f 10339/11357 10327/11355 10495/11358 9903/11359 +f 9847/11360 10328/11356 10327/11355 10339/11357 +f 8585/9450 8781/10950 8773/10740 8580/9415 +f 8777/9750 8973/10956 8965/10741 8772/9715 +f 9621/10943 9654/10946 8781/10947 8585/10944 +f 9654/10946 9621/10943 8733/10842 8897/10826 +f 8897/10826 8733/10842 9776/10843 9781/10825 +f 10484/10862 10475/10858 9781/10825 9776/10843 +f 9846/10874 10489/11361 9873/11333 9849/10875 +f 9836/10867 9833/10866 9849/10875 9851/10886 +f 9862/11362 10310/11322 10303/11321 9861/11363 +f 9660/10945 9693/10951 8973/10953 8777/10949 +f 9693/10951 9660/10945 8925/10799 9089/10836 +f 8969/10050 9165/10957 9157/10742 8964/10015 +f 9699/10948 9732/10954 9165/10955 8969/10952 +f 9732/10954 9699/10948 9117/10820 9281/10832 +f 9281/10832 9117/10820 9788/10823 9795/10831 +f 10485/10859 10481/10852 9795/10831 9788/10823 +f 9838/11250 9818/11364 9813/10851 9837/10877 +f 9854/11251 9838/11250 9837/10877 9852/10888 +f 9889/10884 9817/10860 9818/11364 9838/11250 +f 10477/10846 10480/10848 9813/10851 9818/11364 +f 9782/10802 9787/10835 9089/10836 8925/10799 +f 9825/10871 10330/10870 9859/10856 9824/10855 +f 10331/10932 10342/10910 9901/10909 9895/11365 +f 9913/10908 9856/10891 9875/10890 9868/10907 +f 9830/10938 9804/11366 9802/11367 9843/10928 +f 9830/10938 9826/10881 9801/11368 9804/11366 +f 9834/11237 9810/11240 9809/11369 9890/10935 +f 9857/10897 9827/11249 9822/10854 9877/10857 +f 9879/11370 10302/11326 10310/11322 9862/11362 +f 9888/11371 10334/10906 10342/10910 9887/11372 +f 9897/11373 9891/11374 10344/10914 10335/10913 +f 9920/10933 9887/11372 10342/10910 10331/10932 +f 9895/11365 9898/11375 10337/10921 10331/10932 +f 9891/11374 9900/11376 10341/10925 10344/10914 +f 9844/10934 9916/11377 10340/10918 10336/10917 +f 9898/11375 9899/10931 10332/10922 10337/10921 +f 9907/10920 9897/11373 10335/10913 10336/10917 +f 9916/11377 9908/10923 10332/10922 10340/10918 +f 9859/10856 10330/10870 10346/11378 9858/11379 +f 10324/11353 10496/11380 10495/11358 10327/11355 +f 9828/10869 9855/10883 10346/11378 10330/10870 +f 10321/11347 10498/11381 10496/11380 10324/11353 +f 9880/11382 10311/11327 10302/11326 9879/11370 +f 10311/11327 9880/11382 10486/11383 10309/11328 +f 9848/11384 10306/11324 10309/11323 10486/11385 +f 9905/11386 10307/11329 10306/11324 9848/11384 +f 10307/11329 9905/11386 10343/11387 10308/11318 +f 10341/10925 9900/11376 10347/11351 10492/11350 +f 10333/11388 10345/11389 9909/11390 9902/11391 +f 10345/11389 10333/11388 9910/11392 9839/11393 +f 9876/10898 9857/10897 9877/10857 9865/11394 +f 9869/11395 9885/11349 10493/11352 10237/11396 +f 10578/11256 10242/11397 10241/11398 10577/11399 +f 10577/11399 10241/11398 10240/11400 10576/11401 +f 10576/11401 10240/11400 10239/11402 10575/11403 +f 10575/11403 10239/11402 10243/11404 10574/11405 +f 10574/11405 10243/11404 10251/11406 10573/11407 +f 10566/11408 10438/11409 10204/11200 10554/11214 +f 10437/11410 10187/11184 10204/11200 10438/11409 +f 10441/11411 10153/11153 10170/11169 10436/11412 +f 10356/11413 8151/8956 7634/8275 10357/11414 +f 10357/11414 7634/8275 7633/8274 10358/11415 +f 10358/11415 7633/8274 7632/8273 10359/11416 +f 10359/11416 7632/8273 7631/8272 10360/11417 +f 10360/11417 7631/8272 7729/8429 10361/11418 +f 10361/11418 7729/8429 7727/8268 10362/11419 +f 10362/11419 7727/8268 7630/8271 10363/11420 +f 10364/11421 7690/8265 7502/8264 10363/11422 +f 10364/11421 7695/8284 7463/8118 10365/11423 +f 10366/11424 7594/8248 7464/8250 10365/11423 +f 10366/11424 7595/8119 7618/8266 10367/11425 +f 11903/11426 11902/8424 7620/8249 10367/11425 +f 295/282 5055/355 11671/7657 7062/7591 +f 11672/11427 7061/7607 7062/7591 11671/7657 +f 10370/11428 7160/7718 7452/8045 10369/11429 +f 11942/11430 7134/7695 7160/7718 10370/11428 +f 10372/11431 7202/7751 7165/7694 10371/11432 +f 10373/11433 7203/7752 7202/7751 10372/11431 +f 10374/11434 7253/7768 7203/7752 10373/11433 +f 10374/11434 7251/7742 7190/7745 10375/11435 +f 10376/11436 7205/7755 7204/7770 10375/11435 +f 10377/11437 7206/7756 7205/7755 10376/11436 +f 10378/11438 7275/7850 7206/7756 10377/11437 +f 10378/11439 7273/7887 7288/7886 10379/11440 +f 10380/11441 7305/7900 7290/7873 10379/11440 +f 10381/11442 7320/7918 7305/7900 10380/11441 +f 10381/11442 7318/7910 7333/7935 10382/11443 +f 10382/11443 7333/7935 7348/7957 10383/11444 +f 10384/11445 7365/7967 7350/7949 10383/11444 +f 10385/11446 7380/7984 7365/7967 10384/11445 +f 10385/11446 7378/7977 7393/8002 10386/11447 +f 10386/11447 7393/8002 7408/8010 10387/11448 +f 10387/11448 7408/8010 7423/8027 10388/11449 +f 10389/11450 7424/8034 7425/8016 10388/11449 +f 10389/11451 7422/8026 7407/8009 10390/11452 +f 10390/11452 7407/8009 7392/8001 10391/11453 +f 10392/11454 7379/7986 7394/7997 10391/11453 +f 10392/11454 7377/7976 7362/7959 10393/11455 +f 10394/11456 7349/7952 7364/7969 10393/11455 +f 10395/11457 7334/7925 7349/7952 10394/11456 +f 10395/11457 7332/7934 7317/7909 10396/11458 +f 10396/11458 7317/7909 7302/7890 10397/11459 +f 10398/11460 7289/7878 7304/7902 10397/11459 +f 10399/11461 7274/7879 7289/7878 10398/11460 +f 10399/11462 7272/7844 7195/7747 10400/11463 +f 10401/11464 7194/7760 7197/7762 10400/11463 +f 10402/11465 7191/7761 7194/7760 10401/11464 +f 10403/11466 7249/7759 7191/7761 10402/11465 +f 10403/11466 7250/7741 7186/7737 10404/11467 +f 10405/11468 7185/7757 7188/7758 10404/11467 +f 10405/11468 7183/7740 7163/7764 10406/11469 +f 11943/11470 7130/7763 7140/8041 10407/11471 +f 10407/11471 7140/8041 7436/8040 10408/11472 +f 7047/7659 7061/7607 11672/11427 11669/11473 +f 7047/7659 11669/11473 11675/11474 7101/7660 +f 10419/11475 8202/9017 8151/8956 10356/11413 +f 10419/11475 8198/9021 8091/8976 10420/11476 +f 10421/11477 8078/8866 8088/8865 10420/11476 +f 10422/11478 8068/8867 8078/8866 10421/11477 +f 10423/11479 8058/8868 8068/8867 10422/11478 +f 10424/11480 8050/8869 8058/8868 10423/11479 +f 10424/11480 8051/8883 8122/8885 10425/11481 +f 10426/11482 8347/8871 8121/8870 10425/11481 +f 10426/11482 8353/8886 8096/8889 10427/11483 +f 10427/11483 8096/8889 8132/8891 10428/11484 +f 10429/11485 8105/8874 8131/8873 10428/11484 +f 10429/11485 8106/8893 8116/8895 10430/11486 +f 10430/11486 8116/8895 8370/9202 10431/11487 +f 10431/11487 8370/9202 8387/9218 10432/11488 +f 10433/11489 8403/9240 8386/9209 10432/11488 +f 10433/11489 8404/9233 8421/9249 10434/11490 +f 10434/11490 8421/9249 9983/10966 10435/11491 +f 10573/11407 10251/11406 10244/11492 10572/11493 +f 10572/11493 10244/11492 10474/11494 10571/11495 +f 8196/8980 10356/11413 10357/11414 7528/8257 +f 7528/8257 10357/11414 10358/11415 7523/8256 +f 7523/8256 10358/11415 10359/11416 7518/8258 +f 7518/8258 10359/11416 10360/11417 7513/8109 +f 7513/8109 10360/11417 10361/11418 7508/8110 +f 7508/8110 10361/11418 10362/11419 7505/8254 +f 7505/8254 10362/11419 10363/11420 7502/8251 +f 7695/8284 10364/11421 10363/11422 7630/8285 +f 7690/8265 10364/11421 10365/11423 7464/8250 +f 7595/8119 10366/11424 10365/11423 7463/8118 +f 7594/8248 10366/11424 10367/11425 7620/8249 +f 7046/11496 7045/7613 7128/7658 7098/11497 +f 11747/11498 11712/7661 7101/7660 11675/11474 +f 11747/11498 11673/11499 7102/7662 11712/7661 +f 7141/8042 10370/11428 10369/11429 7448/8043 +f 7123/7766 11942/11430 10370/11428 7141/8042 +f 7184/7739 10372/11431 10371/11432 7164/7765 +f 7187/7738 10373/11433 10372/11431 7184/7739 +f 7251/7742 10374/11434 10373/11433 7187/7738 +f 7253/7768 10374/11434 10375/11435 7204/7770 +f 7193/7744 10376/11436 10375/11435 7190/7745 +f 7196/7748 10377/11437 10376/11436 7193/7744 +f 7273/7845 10378/11438 10377/11437 7196/7748 +f 7275/7876 10378/11439 10379/11440 7290/7873 +f 7303/7891 10380/11441 10379/11440 7288/7886 +f 7318/7910 10381/11442 10380/11441 7303/7891 +f 7320/7918 10381/11442 10382/11443 7335/7942 +f 7335/7942 10382/11443 10383/11444 7350/7949 +f 7363/7960 10384/11445 10383/11444 7348/7957 +f 7378/7977 10385/11446 10384/11445 7363/7960 +f 7380/7984 10385/11446 10386/11447 7395/7994 +f 7395/7994 10386/11447 10387/11448 7410/8015 +f 7410/8015 10387/11448 10388/11449 7425/8016 +f 7422/11500 10389/11450 10388/11449 7423/11501 +f 7424/8022 10389/11451 10390/11452 7409/8004 +f 7409/8004 10390/11452 10391/11453 7394/7997 +f 7377/7976 10392/11454 10391/11453 7392/8001 +f 7379/7986 10392/11454 10393/11455 7364/7969 +f 7347/7956 10394/11456 10393/11455 7362/7959 +f 7332/7934 10395/11457 10394/11456 7347/7956 +f 7334/7925 10395/11457 10396/11458 7319/7920 +f 7319/7920 10396/11458 10397/11459 7304/7902 +f 7287/7885 10398/11460 10397/11459 7302/7890 +f 7272/7888 10399/11461 10398/11460 7287/7885 +f 7274/7847 10399/11462 10400/11463 7197/7762 +f 7192/7743 10401/11464 10400/11463 7195/7747 +f 7189/7746 10402/11465 10401/11464 7192/7743 +f 7250/7741 10403/11466 10402/11465 7189/7746 +f 7249/7759 10403/11466 10404/11467 7188/7758 +f 7183/7740 10405/11468 10404/11467 7186/7737 +f 7185/7757 10405/11468 10406/11469 7168/7721 +f 7129/7688 11943/11470 10407/11471 7139/7689 +f 7139/7689 10407/11471 10408/11472 7435/11502 +f 11674/11503 7103/7664 7102/7662 11673/11499 +f 11873/11504 10409/11505 10410/11506 11872/11507 +f 11872/11507 10410/11506 10411/11508 11871/11509 +f 11871/11509 10411/11508 10412/11510 11870/11511 +f 11869/11512 10413/11513 10414/11514 11868/11515 +f 11868/11515 10414/11514 10415/11516 7599/11517 +f 7599/11517 10415/11516 10416/11518 11924/11519 +f 11924/11519 10416/11518 10417/11520 11874/11521 +f 11874/11521 10417/11520 10418/11522 11925/11523 +f 8198/9021 10419/11475 10356/11413 8196/8980 +f 8202/9017 10419/11475 10420/11476 8088/8865 +f 8081/8876 10421/11477 10420/11476 8091/8976 +f 8071/8879 10422/11478 10421/11477 8081/8876 +f 8061/8881 10423/11479 10422/11478 8071/8879 +f 8051/8883 10424/11480 10423/11479 8061/8881 +f 8050/8869 10424/11480 10425/11481 8121/8870 +f 8353/8886 10426/11482 10425/11481 8122/8885 +f 8347/8871 10426/11482 10427/11483 8095/8872 +f 8095/8872 10427/11483 10428/11484 8131/8873 +f 8106/8893 10429/11485 10428/11484 8132/8891 +f 8105/8874 10429/11485 10430/11486 8115/8875 +f 8115/8875 10430/11486 10431/11487 8369/9197 +f 8369/9197 10431/11487 10432/11488 8386/9209 +f 8404/9233 10433/11489 10432/11488 8387/9218 +f 8403/9240 10433/11489 10434/11490 8420/9258 +f 8420/9258 10434/11490 10435/11491 9982/10975 +f 9897/11373 10242/11397 10235/11524 9891/11374 +f 9907/10920 10241/11398 10242/11397 9897/11373 +f 10241/11398 9907/10920 9896/10919 10240/11400 +f 10240/11400 9896/10919 9899/10931 10239/11402 +f 9898/11375 10243/11404 10239/11402 9899/10931 +f 10187/11184 10437/11410 10436/11412 10170/11169 +f 9895/11365 10251/11406 10243/11404 9898/11375 +f 10251/11406 9895/11365 9901/10909 10244/11492 +f 10570/11525 10234/11526 10230/11527 10571/11495 +f 10563/11232 10566/11408 10439/11528 10220/11233 +f 10186/11191 10437/11410 10438/11409 10203/11209 +f 8246/9062 8240/9061 10442/11529 10443/11530 +f 8252/9071 8246/9062 10443/11530 10444/11531 +f 8258/9078 8252/9071 10444/11531 10445/11532 +f 8264/9085 8258/9078 10445/11532 10446/11533 +f 8270/9092 8264/9085 10446/11533 10447/11534 +f 1598/9099 8270/9092 10447/11534 3781/11535 +f 8284/9181 8362/9121 10453/11536 10448/11537 +f 8362/9121 8358/9109 10449/11538 10453/11536 +f 8358/9109 8359/9108 10450/11539 10449/11538 +f 8359/9108 8360/9182 10451/11540 10450/11539 +f 8360/9182 8361/9183 10452/11541 10451/11540 +f 8294/9186 8284/9181 10448/11537 10454/11542 +f 8361/9183 8383/9194 10455/11543 10452/11541 +f 8383/9194 8400/9219 10456/11544 10455/11543 +f 8400/9219 8417/9234 10457/11545 10456/11544 +f 8417/9234 8434/9250 10458/11546 10457/11545 +f 9996/10968 10459/11547 10458/11546 8434/9250 +f 10013/10993 10460/11548 10459/11547 9996/10968 +f 10030/11011 10461/11549 10460/11548 10013/10993 +f 10047/11027 10462/11550 10461/11549 10030/11011 +f 10064/11047 10463/11551 10462/11550 10047/11027 +f 10081/11063 10464/11552 10463/11551 10064/11047 +f 10098/11078 10465/11553 10464/11552 10081/11063 +f 10115/11094 10466/11554 10465/11553 10098/11078 +f 10132/11109 10467/11555 10466/11554 10115/11094 +f 10149/11121 10468/11556 10467/11555 10132/11109 +f 10166/11155 10469/11557 10468/11556 10149/11121 +f 10183/11171 10470/11558 10469/11557 10166/11155 +f 10200/11186 10471/11559 10470/11558 10183/11171 +f 10217/11202 10472/11560 10471/11559 10200/11186 +f 10556/11218 10567/11561 10472/11560 10217/11202 +f 10569/11562 10473/11563 10234/11526 10570/11525 +f 9904/10905 10474/11494 10244/11492 9901/10909 +f 9815/11248 9784/10797 9923/10872 9881/10942 +f 9818/11364 9817/10860 10476/10847 10477/10846 +f 9806/11564 9805/10864 10478/10863 9799/10810 +f 9816/11238 9785/10798 9784/10797 9815/11248 +f 9785/10798 9816/11238 9814/11239 9783/10844 +f 9782/10802 9780/10801 10479/10849 10480/10848 +f 9842/10936 9863/10882 9783/10844 9814/11239 +f 9825/10871 9824/10855 10482/10853 10481/10852 +f 9799/10810 10478/10863 9774/10829 9775/10811 +f 9863/10882 9842/10936 9890/10935 9906/10930 +f 9809/11369 9778/10837 9906/10930 9890/10935 +f 9810/11240 9779/10827 9778/10837 9809/11369 +f 9779/10827 9810/11240 9808/11241 9777/10828 +f 9812/10868 9811/10850 10479/10849 10475/10858 +f 9788/10823 9786/10822 10476/10847 10485/10859 +f 9800/10805 10482/10853 9824/10855 9792/10806 +f 9922/10929 10245/11244 9777/10828 9808/11241 +f 9776/10843 9774/10829 10478/10863 10484/10862 +f 10245/11244 9922/10929 9843/10928 10246/11245 +f 9802/11367 9770/10845 10246/11245 9843/10928 +f 9804/11366 9773/10838 9770/10845 9802/11367 +f 9800/10805 9796/10819 9794/10818 10482/10853 +f 9773/10838 9804/11366 9801/11368 9769/10808 +f 9826/10881 9797/10809 9769/10808 9801/11368 +f 9797/10809 9826/10881 9803/10880 9771/10824 +f 9829/10879 10503/11565 10483/11566 9803/10880 +f 9806/11564 10483/11567 10503/11568 9831/11569 +f 9792/10806 9824/10855 9822/10854 9791/10841 +f 9827/11249 9798/10815 9791/10841 9822/10854 +f 9798/10815 9827/11249 9821/11243 9790/10814 +f 9771/10824 9803/10880 10483/11566 9772/10839 +f 9807/10865 9812/10868 10475/10858 10484/10862 +f 9819/10861 9825/10871 10481/10852 10485/10859 +f 9787/10835 9782/10802 10480/10848 10477/10846 +f 10308/11318 10343/11387 9840/11331 10304/11319 +f 10487/11570 9848/11384 10486/11385 10488/11571 +f 9886/11572 9905/11386 9848/11384 10487/11570 +f 9919/10937 9917/10927 9867/10941 9874/11573 +f 10492/11350 10490/11574 9864/10926 10341/10925 +f 10520/10904 10538/11575 10474/11494 9904/10905 +f 9885/11349 10343/11387 9905/11386 9886/11572 +f 10520/10904 9902/11391 10351/11576 10538/11575 +f 10491/11577 9845/10878 9919/10937 9874/11573 +f 9874/11573 9864/10926 10490/11574 10491/11577 +f 10490/11574 9886/11572 10487/11570 10491/11577 +f 9845/10878 10491/11577 10487/11570 9829/10879 +f 9867/10941 9921/10915 9864/10926 9874/11573 +f 9883/10911 9915/10916 9921/10915 9867/10941 +f 10339/11357 10345/11389 9839/11393 9847/11360 +f 10345/11389 10339/11357 9903/11359 9909/11390 +f 10329/11578 10349/11579 10351/11580 9902/11581 +f 10326/11582 10350/11583 10349/11579 10329/11578 +f 10323/11584 10352/11585 10350/11583 10326/11582 +f 10320/11586 10354/11587 10352/11585 10323/11584 +f 10348/11588 10353/11589 10354/11587 10320/11586 +f 10237/11396 10440/11590 10353/11589 10348/11588 +f 10493/11352 10355/11591 10440/11590 10237/11396 +f 10347/11351 10236/11592 10355/11591 10493/11352 +f 10329/11578 9902/11581 9909/11593 10494/11594 +f 10312/11341 9870/11340 9869/11395 10237/11396 +f 10326/11582 10329/11578 10494/11594 10338/11595 +f 9909/11593 9903/11596 10495/11597 10494/11594 +f 10318/11345 10500/11598 10498/11381 10321/11347 +f 10500/11598 10318/11345 10316/11343 10502/11599 +f 10496/11600 10338/11595 10494/11594 10495/11597 +f 10338/11595 10496/11600 10498/11601 10497/11602 +f 10497/11602 10498/11601 10500/11603 10499/11604 +f 10499/11604 10500/11603 10502/11605 10501/11606 +f 10323/11584 10326/11582 10338/11595 10497/11602 +f 10499/11604 10320/11586 10323/11584 10497/11602 +f 10320/11586 10499/11604 10501/11606 10348/11588 +f 10316/11343 10314/11335 10313/11338 10502/11599 +f 10502/11605 10313/11342 10312/11341 10501/11606 +f 10312/11341 10237/11396 10348/11588 10501/11606 +f 9877/10857 9859/10856 9858/11379 9865/11394 +f 9866/10896 9844/10934 9915/10916 9883/10911 +f 9844/10934 9866/10896 9882/10895 9916/11377 +f 9916/11377 9882/10895 9892/10900 9908/10923 +f 9884/10901 9914/10924 9908/10923 9892/10900 +f 9868/10907 9920/10933 9914/10924 9884/10901 +f 9875/10890 9887/11372 9920/10933 9868/10907 +f 9878/10889 9888/11371 9887/11372 9875/10890 +f 9858/11379 9839/11393 9910/11392 9865/11394 +f 9839/11393 9858/11379 10346/11378 9847/11360 +f 9855/10883 10328/11356 9847/11360 10346/11378 +f 10328/11356 9855/10883 9853/10885 10325/11354 +f 9854/11251 10322/11348 10325/11354 9853/10885 +f 10322/11348 9854/11251 9852/10888 10319/11346 +f 10319/11346 9852/10888 9850/10887 10317/11344 +f 9851/10886 10315/11336 10317/11344 9850/10887 +f 10315/11336 9851/10886 9849/10875 9873/11333 +f 9806/11564 9799/10810 9772/10834 10483/11567 +f 9832/10873 9831/11569 10503/11568 9846/10874 +f 9806/11564 9831/11569 9832/10873 9805/10864 +f 9829/10879 10487/11570 10488/11571 10503/11565 +f 10443/11530 10442/11529 10504/11607 10505/11608 +f 10444/11531 10443/11530 10505/11608 10506/11609 +f 10445/11532 10444/11531 10506/11609 10507/11610 +f 10446/11533 10445/11532 10507/11610 10508/11611 +f 10447/11534 10446/11533 10508/11611 10509/11612 +f 3781/11535 10447/11534 10509/11612 3844/11613 +f 10448/11537 10453/11536 10515/11614 10510/11615 +f 10453/11536 10449/11538 10511/11616 10515/11614 +f 10449/11538 10450/11539 10512/11617 10511/11616 +f 10450/11539 10451/11540 10513/11618 10512/11617 +f 10451/11540 10452/11541 10514/11619 10513/11618 +f 10454/11542 10448/11537 10510/11615 10537/11620 +f 10452/11541 10455/11543 10516/11621 10514/11619 +f 10455/11543 10456/11544 10517/11622 10516/11621 +f 10456/11544 10457/11545 10518/11623 10517/11622 +f 10457/11545 10458/11546 10519/11624 10518/11623 +f 10333/11388 9902/11391 10520/10904 10536/10903 +f 10459/11547 10521/11625 10519/11624 10458/11546 +f 10460/11548 10522/11626 10521/11625 10459/11547 +f 10461/11549 10523/11627 10522/11626 10460/11548 +f 10462/11550 10524/11628 10523/11627 10461/11549 +f 10463/11551 10525/11629 10524/11628 10462/11550 +f 10464/11552 10526/11630 10525/11629 10463/11551 +f 10465/11553 10527/11631 10526/11630 10464/11552 +f 10466/11554 10528/11632 10527/11631 10465/11553 +f 10467/11555 10529/11633 10528/11632 10466/11554 +f 10468/11556 10530/11634 10529/11633 10467/11555 +f 10469/11557 10531/11635 10530/11634 10468/11556 +f 10470/11558 10532/11636 10531/11635 10469/11557 +f 10471/11559 10533/11637 10532/11636 10470/11558 +f 10472/11560 10534/11638 10533/11637 10471/11559 +f 10567/11561 10568/11639 10534/11638 10472/11560 +f 9900/11376 10238/11640 10236/11592 10347/11351 +f 9891/11374 10235/11524 10238/11640 9900/11376 +f 9865/11394 9910/11392 10539/11641 9876/10898 +f 10333/11388 10536/10903 10539/11641 9910/11392 +f 9888/11371 9878/10889 9876/10898 10539/11641 +f 10536/10903 10334/10906 9888/11371 10539/11641 +f 10540/11642 10119/11107 10136/11137 10541/11643 +f 10540/11642 10118/11117 10101/11101 10542/11644 +f 10543/11645 10085/11076 10102/11092 10542/11644 +f 10543/11645 10084/11083 10067/11052 10544/11646 +f 10545/11647 10051/11045 10068/11061 10544/11646 +f 10546/11648 10034/11025 10051/11045 10545/11647 +f 10547/11649 10017/11009 10034/11025 10546/11648 +f 10548/11650 10000/10992 10017/11009 10547/11649 +f 10118/11117 10540/11642 10541/11643 10135/11133 +f 10119/11107 10540/11642 10542/11644 10102/11092 +f 10084/11083 10543/11645 10542/11644 10101/11101 +f 10085/11076 10543/11645 10544/11646 10068/11061 +f 10050/11038 10545/11647 10544/11646 10067/11052 +f 10033/11016 10546/11648 10545/11647 10050/11038 +f 10016/11002 10547/11649 10546/11648 10033/11016 +f 9999/10988 10548/11650 10547/11649 10016/11002 +f 10541/11643 10136/11137 10153/11153 10441/11411 +f 10437/11410 10186/11191 10169/11160 10436/11412 +f 10435/11491 9983/10966 10000/10992 10548/11650 +f 10135/11133 10541/11643 10441/11411 10152/11146 +f 9982/10975 10435/11491 10548/11650 9999/10988 +f 10152/11146 10441/11411 10436/11412 10169/11160 +f 9886/11572 10490/11574 10492/11350 9885/11349 +f 9880/11382 10489/11361 10488/11651 10486/11383 +f 10489/11361 9880/11382 9879/11370 9873/11333 +f 9873/11333 9879/11370 9862/11362 9872/11334 +f 9872/11334 9862/11362 9861/11363 9871/11337 +f 9871/11339 9861/11332 9841/11330 9870/11340 +f 9870/11340 9841/11330 9840/11331 9869/11395 +f 9869/11395 9840/11331 10343/11387 9885/11349 +f 10588/11652 10439/11653 10221/11654 10587/11655 +f 10587/11655 10221/11654 10222/11656 10586/11657 +f 10586/11657 10222/11656 10223/11658 10585/11659 +f 10584/11660 10354/11587 10353/11589 10585/11659 +f 10583/11661 10352/11585 10354/11587 10584/11660 +f 10582/11662 10350/11583 10352/11585 10583/11661 +f 10581/11663 10349/11579 10350/11583 10582/11662 +f 10581/11663 10535/11664 10473/11665 10569/11666 +f 10580/11255 10220/11254 10439/11653 10588/11652 +f 10218/11667 10228/11668 10549/11211 10550/11210 +f 10225/11669 10229/11670 10551/11213 10552/11212 +f 10204/11200 10205/11199 10553/11215 10554/11214 +f 10217/11202 10213/11201 10555/11219 10556/11218 +f 10229/11670 10230/11220 10555/11219 10551/11213 +f 10205/11199 10206/11193 10557/11222 10553/11215 +f 10535/11671 10231/11672 10558/11225 10568/11224 +f 10224/11229 10218/11667 10550/11210 10559/11226 +f 10207/11205 10202/11206 10560/11227 10559/11226 +f 10231/11672 10232/11673 10561/11230 10558/11225 +f 10228/11668 10227/11674 10562/11231 10549/11211 +f 10202/11206 10203/11209 10563/11232 10560/11227 +f 10232/11673 10233/11675 10564/11234 10561/11230 +f 10227/11674 10226/11676 10565/11235 10562/11231 +f 10233/11675 10223/11223 10557/11222 10564/11234 +f 10226/11676 10225/11669 10552/11212 10565/11235 +f 10439/11528 10566/11408 10554/11214 10221/11217 +f 10203/11209 10438/11409 10566/11408 10563/11232 +f 10234/11221 10473/11677 10567/11561 10556/11218 +f 10473/11677 10535/11678 10568/11639 10567/11561 +f 10351/11576 10569/11562 10570/11525 10538/11575 +f 10224/11257 10578/11256 10577/11399 10218/11679 +f 10232/11680 10583/11661 10584/11660 10233/11681 +f 10242/11397 10578/11256 10579/11252 10235/11524 +f 10440/11590 10586/11657 10585/11659 10353/11589 +f 10235/11524 10579/11252 10580/11255 10238/11640 +f 10229/11682 10572/11493 10571/11495 10230/11527 +f 10238/11640 10580/11255 10588/11652 10236/11592 +f 10227/11683 10575/11403 10574/11405 10226/11684 +f 10225/11685 10573/11407 10572/11493 10229/11682 +f 10355/11591 10587/11655 10586/11657 10440/11590 +f 10535/11664 10581/11663 10582/11662 10231/11686 +f 10228/11687 10576/11401 10575/11403 10227/11683 +f 10226/11684 10574/11405 10573/11407 10225/11685 +f 10349/11579 10581/11663 10569/11666 10351/11580 +f 10233/11681 10584/11660 10585/11659 10223/11658 +f 10218/11679 10577/11399 10576/11401 10228/11687 +f 10538/11575 10570/11525 10571/11495 10474/11494 +f 10231/11686 10582/11662 10583/11661 10232/11680 +f 10236/11592 10588/11652 10587/11655 10355/11591 +f 10503/11568 10488/11651 10489/11361 9846/10874 +f 8267/9084 8261/9077 10595/11688 10596/11689 +f 8364/9118 8287/9117 10598/11690 10601/11691 +f 8261/9077 8255/9070 10594/11692 10595/11688 +f 8138/8952 8102/8951 10589/9392 10591/11693 +f 8297/9131 8363/9185 10600/11694 10599/11695 +f 8112/8953 8138/8952 10591/11693 10590/11696 +f 8287/9117 8297/9131 10599/11695 10598/11690 +f 8255/9070 8249/9060 10593/11697 10594/11692 +f 8363/9185 8112/8953 10590/11696 10600/11694 +f 1601/9098 8273/9091 10597/11698 3933/11699 +f 8249/9060 8243/9059 10592/11700 10593/11697 +f 8273/9091 8267/9084 10596/11689 10597/11698 +f 10597/11698 10596/11689 10609/11701 10610/11702 +f 10590/11696 10591/11693 10604/11703 10603/11704 +f 3933/11699 10597/11698 10610/11702 3947/11705 +f 10593/11697 10592/11700 10605/11706 10606/11707 +f 10601/11691 10598/11690 10611/11708 10614/11709 +f 10594/11692 10593/11697 10606/11707 10607/11710 +f 10598/11690 10599/11695 10612/11711 10611/11708 +f 10595/11688 10594/11692 10607/11710 10608/11712 +f 10599/11695 10600/11694 10613/11713 10612/11711 +f 10596/11689 10595/11688 10608/11712 10609/11701 +f 10591/11693 10589/9392 10602/11714 10604/11703 +f 10600/11694 10590/11696 10603/11704 10613/11713 +f 10613/11713 10603/11704 10616/11715 10626/11716 +f 10610/11702 10609/11701 10622/11717 10623/11718 +f 10603/11704 10604/11703 10617/11719 10616/11715 +f 3947/11705 10610/11702 10623/11718 3961/11720 +f 10606/11707 10605/11706 10618/11721 10619/11722 +f 10614/11709 10611/11708 10624/11723 10627/11724 +f 10607/11710 10606/11707 10619/11722 10620/11725 +f 10611/11708 10612/11711 10625/11726 10624/11723 +f 10608/11712 10607/11710 10620/11725 10621/11727 +f 10612/11711 10613/11713 10626/11716 10625/11726 +f 10609/11701 10608/11712 10621/11727 10622/11717 +f 10604/11703 10602/11714 10615/11728 10617/11719 +f 10626/11716 10616/11715 10629/11729 10639/11730 +f 10623/11718 10622/11717 10635/11731 10636/11732 +f 10616/11715 10617/11719 10630/11733 10629/11729 +f 3961/11720 10623/11718 10636/11732 3975/11734 +f 10619/11722 10618/11721 10631/11735 10632/11736 +f 10627/11724 10624/11723 10637/11737 10640/11738 +f 10620/11725 10619/11722 10632/11736 10633/11739 +f 10624/11723 10625/11726 10638/11740 10637/11737 +f 10621/11727 10620/11725 10633/11739 10634/11741 +f 10625/11726 10626/11716 10639/11730 10638/11740 +f 10622/11717 10621/11727 10634/11741 10635/11731 +f 10617/11719 10615/11728 10628/11742 10630/11733 +f 10639/11730 10629/11729 10642/11743 10652/11744 +f 10636/11732 10635/11731 10648/11745 10649/11746 +f 10629/11729 10630/11733 10643/11747 10642/11743 +f 3975/11734 10636/11732 10649/11746 3989/11748 +f 10632/11736 10631/11735 10644/11749 10645/11750 +f 10640/11738 10637/11737 10650/11751 10653/11752 +f 10633/11739 10632/11736 10645/11750 10646/11753 +f 10637/11737 10638/11740 10651/11754 10650/11751 +f 10634/11741 10633/11739 10646/11753 10647/11755 +f 10638/11740 10639/11730 10652/11744 10651/11754 +f 10635/11731 10634/11741 10647/11755 10648/11745 +f 10630/11733 10628/11742 10641/11756 10643/11747 +f 10652/11744 10642/11743 10655/11757 10665/11758 +f 10649/11746 10648/11745 10661/11759 10662/11760 +f 10642/11743 10643/11747 10656/11761 10655/11757 +f 3989/11748 10649/11746 10662/11760 4003/11762 +f 10645/11750 10644/11749 10657/11763 10658/11764 +f 10653/11752 10650/11751 10663/11765 10666/11766 +f 10646/11753 10645/11750 10658/11764 10659/11767 +f 10650/11751 10651/11754 10664/11768 10663/11765 +f 10647/11755 10646/11753 10659/11767 10660/11769 +f 10651/11754 10652/11744 10665/11758 10664/11768 +f 10648/11745 10647/11755 10660/11769 10661/11759 +f 10643/11747 10641/11756 10654/11770 10656/11761 +f 10656/11761 10654/11770 10667/11771 10669/11772 +f 10665/11758 10655/11757 10668/11773 10678/11774 +f 10662/11760 10661/11759 10674/11775 10675/11776 +f 10655/11757 10656/11761 10669/11772 10668/11773 +f 10658/11764 10657/11763 10670/11777 10671/11778 +f 10666/11766 10663/11765 10676/11779 10679/11780 +f 10659/11767 10658/11764 10671/11778 10672/11781 +f 10663/11765 10664/11768 10677/11782 10676/11779 +f 10660/11769 10659/11767 10672/11781 10673/11783 +f 10664/11768 10665/11758 10678/11774 10677/11782 +f 10661/11759 10660/11769 10673/11783 10674/11775 +f 10674/11775 10673/11783 10686/11784 10687/11785 +f 10669/11772 10667/11771 10680/11786 10682/11787 +f 10678/11774 10668/11773 10681/11788 10691/11789 +f 10675/11776 10674/11775 10687/11785 10688/11790 +f 10668/11773 10669/11772 10682/11787 10681/11788 +f 4017/11791 10675/11776 10688/11790 4031/11792 +f 10671/11778 10670/11777 10683/11793 10684/11794 +f 10679/11780 10676/11779 10689/11795 10692/11796 +f 10672/11781 10671/11778 10684/11794 10685/11797 +f 10676/11779 10677/11782 10690/11798 10689/11795 +f 10673/11783 10672/11781 10685/11797 10686/11784 +f 10677/11782 10678/11774 10691/11789 10690/11798 +f 10784/11799 10783/11800 10705/11801 10704/11802 +f 10687/11785 10686/11784 10700/11803 10701/11804 +f 10786/11805 10785/11806 10693/11807 10695/11808 +f 10783/11800 10787/11809 10694/11810 10705/11801 +f 10688/11790 10687/11785 10701/11804 10702/11811 +f 10787/11809 10786/11805 10695/11808 10694/11810 +f 4031/11792 10688/11790 10702/11811 4046/11812 +f 10684/11794 10683/11793 10697/11813 10698/11814 +f 10685/11797 10684/11794 10698/11814 10699/11815 +f 10686/11784 10685/11797 10699/11815 10700/11803 +f 10704/11802 10705/11801 10718/11816 10717/11817 +f 10790/11818 10789/11819 10714/11820 10715/11821 +f 10695/11808 10693/11807 10707/11822 10709/11823 +f 10705/11801 10694/11810 10708/11824 10718/11816 +f 10791/11825 10790/11818 10715/11821 10716/11826 +f 10694/11810 10695/11808 10709/11823 10708/11824 +f 4149/11827 10791/11825 10716/11826 4061/11828 +f 8234/9052 8274/9105 8238/9054 8233/9042 +f 10793/11829 10792/11830 10711/11831 10712/11832 +f 10795/11833 10793/11829 10712/11832 10713/11834 +f 10789/11819 10795/11833 10713/11834 10714/11820 +f 10720/9391 8355/8950 8128/8949 8544/9385 +f 8543/9382 10721/11835 10720/9391 8544/9385 +f 10589/9392 10720/9391 10721/11835 10602/11714 +f 10602/11714 10721/11835 10722/11836 10615/11728 +f 8542/9378 10722/11836 10721/11835 8543/9382 +f 10753/11837 10739/11838 10733/11839 10754/11840 +f 10654/11770 10752/11841 10753/11837 10667/11771 +f 10753/11837 10752/11841 10744/11842 10739/11838 +f 10641/11756 10723/11843 10752/11841 10654/11770 +f 10798/11844 10794/11845 10703/11846 10710/11847 +f 10752/11841 10723/11843 10749/11848 10744/11842 +f 10794/11845 4155/4618 4070/4617 10703/11846 +f 8540/9374 8539/9373 10725/11849 10726/11850 +f 10797/11851 10798/11844 10710/11847 10696/11852 +f 10628/11742 10724/11853 10723/11843 10641/11756 +f 10740/11854 10741/11855 10728/11856 10730/11857 +f 10726/11850 10725/11849 10731/11858 10732/11859 +f 10723/11843 10724/11853 8541/9376 10749/11848 +f 10741/11855 4094/4631 4072/4630 10728/11856 +f 10736/11860 10740/11854 10730/11857 10734/11861 +f 10746/11862 10729/11863 10741/11855 10740/11854 +f 10729/11863 4071/4636 4094/4631 10741/11855 +f 10750/11864 10746/11862 10740/11854 10736/11860 +f 10732/11859 10731/11858 10737/11865 10738/11866 +f 10615/11728 10722/11836 10724/11853 10628/11742 +f 10745/11867 10751/11868 10746/11862 10750/11864 +f 10735/11869 4089/4643 4071/4636 10729/11863 +f 10751/11868 10735/11869 10729/11863 10746/11862 +f 10738/11866 10737/11865 10742/11870 10743/11871 +f 8541/9376 10724/11853 10722/11836 8542/9378 +f 8538/9386 8537/9383 10751/11868 10745/11867 +f 8537/9383 8566/9390 10735/11869 10751/11868 +f 10800/11872 10799/11873 10747/11874 10748/11875 +f 8540/9374 10726/11850 10749/11848 8541/9376 +f 10732/11859 10744/11842 10749/11848 10726/11850 +f 10738/11866 10739/11838 10744/11842 10732/11859 +f 10738/11866 10743/11871 10733/11839 10739/11838 +f 10800/11872 10748/11875 10727/11876 10801/11877 +f 10667/11771 10753/11837 10754/11840 10680/11786 +f 10796/11878 10801/11877 10727/11876 10755/11879 +f 10785/11806 10796/11878 10755/11879 10693/11807 +f 8538/9386 10745/11867 10725/11849 8539/9373 +f 10725/11849 10745/11867 10750/11864 10731/11858 +f 10736/11860 10737/11865 10731/11858 10750/11864 +f 10734/11861 10742/11870 10737/11865 10736/11860 +f 10797/11851 10799/11873 10742/11870 10734/11861 +f 10802/11880 10689/11795 10690/11798 10784/11799 +f 10788/11881 10692/11796 10689/11795 10802/11880 +f 10757/11882 4107/4659 4112/4658 10760/11883 +f 10758/11884 10757/11882 10760/11883 10761/11885 +f 10759/11886 10758/11884 10761/11885 10762/11887 +f 4111/4664 10759/11886 10762/11887 4116/4665 +f 10761/11885 10760/11883 10763/11888 10764/11889 +f 10762/11887 10761/11885 10764/11889 10765/11890 +f 4116/4665 10762/11887 10765/11890 4121/4670 +f 4117/4667 4122/4671 10764/11889 10763/11888 +f 10764/11889 4122/4671 4121/4670 10765/11890 +f 10757/11882 10703/11846 4070/4617 4107/4659 +f 10747/11874 10696/11852 10766/11891 10769/11892 +f 10748/11875 10747/11874 10769/11892 10770/11893 +f 10755/11879 10727/11876 10768/11894 10771/11895 +f 10727/11876 10748/11875 10770/11893 10768/11894 +f 10696/11852 10710/11847 10767/11896 10766/11891 +f 10693/11807 10755/11879 10771/11895 10707/11822 +f 10703/11846 10757/11882 10767/11896 10710/11847 +f 10770/11893 10769/11892 10780/11897 10781/11898 +f 10768/11894 10770/11893 10781/11898 10779/11899 +f 10717/11817 10718/11816 10776/11900 10775/11901 +f 10771/11895 10768/11894 10779/11899 10782/11902 +f 10718/11816 10708/11824 10773/11903 10776/11900 +f 10769/11892 10766/11891 10777/11904 10780/11897 +f 10707/11822 10771/11895 10782/11902 10772/11905 +f 10709/11823 10707/11822 10772/11905 10774/11906 +f 10708/11824 10709/11823 10774/11906 10773/11903 +f 10766/11891 10767/11896 10778/11907 10777/11904 +f 10767/11896 10757/11882 10758/11884 10778/11907 +f 10690/11798 10691/11789 10783/11800 10784/11799 +f 10682/11787 10680/11786 10785/11806 10786/11805 +f 10691/11789 10681/11788 10787/11809 10783/11800 +f 10681/11788 10682/11787 10786/11805 10787/11809 +f 10701/11804 10700/11803 10789/11819 10790/11818 +f 10702/11811 10701/11804 10790/11818 10791/11825 +f 4046/11812 10702/11811 10791/11825 4149/11827 +f 10698/11814 10697/11813 10792/11830 10793/11829 +f 10699/11815 10698/11814 10793/11829 10795/11833 +f 10700/11803 10699/11815 10795/11833 10789/11819 +f 10730/11857 10728/11856 10794/11845 10798/11844 +f 10728/11856 4072/4630 4155/4618 10794/11845 +f 10734/11861 10730/11857 10798/11844 10797/11851 +f 10743/11871 10742/11870 10799/11873 10800/11872 +f 10743/11871 10800/11872 10801/11877 10733/11839 +f 10754/11840 10733/11839 10801/11877 10796/11878 +f 10680/11786 10754/11840 10796/11878 10785/11806 +f 10696/11852 10747/11874 10799/11873 10797/11851 +f 10756/11908 10802/11880 10784/11799 10704/11802 +f 10706/11909 10788/11881 10802/11880 10756/11908 +f 10772/11905 10782/11902 10811/11910 10810/11911 +f 10779/11899 10781/11898 10812/11912 10803/11913 +f 10773/11903 10774/11906 10808/11914 10809/11915 +f 10777/11904 10778/11907 10804/11916 10805/11917 +f 10778/11907 10758/11884 10759/11886 10804/11916 +f 10781/11898 10780/11897 10813/11918 10812/11912 +f 10775/11901 10776/11900 10806/11919 10807/11920 +f 10782/11902 10779/11899 10803/11913 10811/11910 +f 10780/11897 10777/11904 10805/11917 10813/11918 +f 10774/11906 10772/11905 10810/11911 10808/11914 +f 10776/11900 10773/11903 10809/11915 10806/11919 +f 4110/4662 4367/4920 4368/4921 4111/4664 +f 4367/4920 4110/4662 4163/4698 4366/4872 +f 4366/4872 4163/4698 4164/4697 4370/4871 +f 4370/4871 4164/4697 4172/4699 4365/4869 +f 4365/4869 4172/4699 4171/4694 4364/4866 +f 4364/4866 4171/4694 4162/4693 4369/4873 +f 4170/4692 4398/4809 4369/4873 4162/4693 +f 4169/4691 4399/4806 4398/4809 4170/4692 +f 4399/4806 4169/4691 4167/4696 4400/4811 +f 4168/4695 4396/4805 4400/4811 4167/4696 +f 4206/4723 4216/4754 4215/4752 4205/4724 +f 4396/4805 4168/4695 4165/4701 4397/4802 +f 10807/11920 10816/11921 10815/11922 10775/11901 +f 10775/11901 10815/11922 10814/11923 10717/11817 +f 10717/11817 10814/11923 10756/11908 10704/11802 +f 10706/11909 10756/11908 10814/11923 10719/11924 +f 10716/11826 10715/11821 10821/11925 10822/11926 +f 10712/11832 10711/11831 10817/11927 10818/11928 +f 10715/11821 10714/11820 10820/11929 10821/11925 +f 10714/11820 10713/11834 10819/11930 10820/11929 +f 4061/11828 10716/11826 10822/11926 4182/11931 +f 10713/11834 10712/11832 10818/11928 10819/11930 +f 10819/11930 10818/11928 10824/11932 10825/11933 +f 10822/11926 10821/11925 10827/11934 10828/11935 +f 10818/11928 10817/11927 10823/11936 10824/11932 +f 10821/11925 10820/11929 10826/11937 10827/11934 +f 10820/11929 10819/11930 10825/11933 10826/11937 +f 4182/11931 10822/11926 10828/11935 4189/11938 +f 4166/4700 4401/4812 4397/4802 4165/4701 +f 4401/4812 4166/4700 4175/4703 4395/4739 +f 4395/4739 4175/4703 4198/4721 4392/4736 +f 4183/4717 4190/4925 4392/4736 4198/4721 +f 4184/4714 4191/4924 4190/4925 4183/4717 +f 4185/4713 4192/4926 4191/4924 4184/4714 +f 4186/4718 4193/4927 4192/4926 4185/4713 +f 4187/4716 4194/4928 4193/4927 4186/4718 +f 4188/4715 4195/4923 4194/4928 4187/4716 +f 4189/4719 4196/4922 4195/4923 4188/4715 +f 4189/11938 10828/11935 10834/11939 4196/11940 +f 10834/11939 10828/11935 10827/11934 10833/11941 +f 10719/11924 10814/11923 10815/11922 10835/11942 +f 10835/11942 10815/11922 10816/11921 10836/11943 +f 10833/11941 10827/11934 10826/11937 10832/11944 +f 4388/11945 11006/11946 10843/11947 4206/11948 +f 11008/11949 11007/11950 10838/11951 10839/11952 +f 11009/11953 11008/11949 10839/11952 10840/11954 +f 11011/11955 11009/11953 10840/11954 10841/11956 +f 11012/11957 11011/11955 10841/11956 10842/11958 +f 11010/11959 11013/11960 10837/11961 10844/11962 +f 11006/11946 11012/11957 10842/11958 10843/11947 +f 4206/11948 10843/11947 10852/11963 4216/11964 +f 10844/11962 10837/11961 10845/11965 10846/11966 +f 10852/11963 10843/11947 10842/11958 10851/11967 +f 4205/4724 4215/4752 4214/4750 4204/4735 +f 4204/4735 4214/4750 4213/4748 4203/4733 +f 4203/4733 4213/4748 4212/4746 4202/4731 +f 4202/4731 4212/4746 4211/4742 4201/4727 +f 4201/4727 4211/4742 4210/4745 4200/4728 +f 4200/4728 4210/4745 4225/4759 4209/4740 +f 4217/4762 4208/4741 4209/4740 4225/4759 +f 4208/4741 4217/4762 4283/4820 4277/4814 +f 4277/4814 4283/4820 4282/4823 4276/4815 +f 4285/4825 4279/4816 4276/4815 4282/4823 +f 4279/4816 4285/4825 4284/4831 4278/4819 +f 10848/11968 10847/11969 10854/11970 10855/11971 +f 10849/11972 10848/11968 10855/11971 10856/11973 +f 4286/4826 4280/4817 4278/4819 4284/4831 +f 10850/11974 10849/11972 10856/11973 10857/11975 +f 10851/11967 10850/11974 10857/11975 10858/11976 +f 10852/11963 10851/11967 10858/11976 10859/11977 +f 4216/11964 10852/11963 10859/11977 4224/11978 +f 10855/11971 10854/11970 10862/11979 10863/11980 +f 10856/11973 10855/11971 10863/11980 10864/11981 +f 10860/11982 10853/11983 10861/11984 10868/11985 +f 10857/11975 10856/11973 10864/11981 10865/11986 +f 10858/11976 10857/11975 10865/11986 10866/11987 +f 10859/11977 10858/11976 10866/11987 10867/11988 +f 4224/11978 10859/11977 10867/11988 4233/11989 +f 4233/11989 10867/11988 10875/11990 4242/11991 +f 10863/11980 10862/11979 10870/11992 10871/11993 +f 10864/11981 10863/11980 10871/11993 10872/11994 +f 10868/11985 10861/11984 10869/11995 10876/11996 +f 10865/11986 10864/11981 10872/11994 10873/11997 +f 10866/11987 10865/11986 10873/11997 10874/11998 +f 10867/11988 10866/11987 10874/11998 10875/11990 +f 4242/11991 10875/11990 10883/11999 4251/12000 +f 10871/11993 10870/11992 10878/12001 10879/12002 +f 10872/11994 10871/11993 10879/12002 10880/12003 +f 10876/11996 10869/11995 10877/12004 10884/12005 +f 10873/11997 10872/11994 10880/12003 10881/12006 +f 10874/11998 10873/11997 10881/12006 10882/12007 +f 10875/11990 10874/11998 10882/12007 10883/11999 +f 10880/12003 10879/12002 10887/12008 10888/12009 +f 10884/12005 10877/12004 10885/12010 10892/12011 +f 10881/12006 10880/12003 10888/12009 10889/12012 +f 10882/12007 10881/12006 10889/12012 10890/12013 +f 10883/11999 10882/12007 10890/12013 10891/12014 +f 4251/12000 10883/11999 10891/12014 4260/12015 +f 10879/12002 10878/12001 10886/12016 10887/12008 +f 10887/12008 10886/12016 10894/12017 10895/12018 +f 10892/12011 10885/12010 10893/12019 10899/12020 +f 10890/12013 10889/12012 10896/12021 10897/12022 +f 10891/12014 10890/12013 10897/12022 10898/12023 +f 4260/12015 10891/12014 10898/12023 4268/12024 +f 11015/12025 11014/12026 10903/12027 10900/12028 +f 11017/12029 11016/12030 10905/12031 10904/12032 +f 11014/12026 11018/12033 10902/12034 10903/12027 +f 11018/12033 11017/12029 10904/12032 10902/12034 +f 11019/12035 11015/12025 10900/12028 10901/12036 +f 10901/12036 10900/12028 10906/12037 10907/12038 +f 10900/12028 10903/12027 10909/12039 10906/12037 +f 10904/12032 10905/12031 10911/12040 10910/12041 +f 10903/12027 10902/12034 10908/12042 10909/12039 +f 10902/12034 10904/12032 10910/12041 10908/12042 +f 4280/4817 4286/4826 4287/4829 4281/4818 +f 4281/4818 4287/4829 4331/4881 4325/4875 +f 4334/4884 4328/4876 4325/4875 4331/4881 +f 4335/4885 4329/4877 4328/4876 4334/4884 +f 4333/4888 4327/4878 4329/4877 4335/4885 +f 4332/4894 4326/4863 4327/4878 4333/4888 +f 4360/4889 4359/4864 4326/4863 4332/4894 +f 4359/4864 4360/4889 4330/4892 4324/4879 +f 10984/12043 10983/12044 4324/4879 4330/4892 +f 10983/12044 10984/12043 10959/12045 10954/12046 +f 10913/12047 10912/12048 10918/12049 10919/12050 +f 10912/12048 10915/12051 10921/12052 10918/12049 +f 10916/12053 10917/12054 10923/12055 10922/12056 +f 10915/12051 10914/12057 10920/12058 10921/12052 +f 10914/12057 10916/12053 10922/12056 10920/12058 +f 10919/12050 10918/12049 10924/12059 10925/12060 +f 10918/12049 10921/12052 10927/12061 10924/12059 +f 10922/12056 10923/12055 10929/12062 10928/12063 +f 10921/12052 10920/12058 10926/12064 10927/12061 +f 10920/12058 10922/12056 10928/12063 10926/12064 +f 10925/12060 10924/12059 10930/12065 10931/12066 +f 10924/12059 10927/12061 10933/12067 10930/12065 +f 10928/12063 10929/12062 10935/12068 10934/12069 +f 10927/12061 10926/12064 10932/12070 10933/12067 +f 10926/12064 10928/12063 10934/12069 10932/12070 +f 10931/12066 10930/12065 10936/12071 10937/12072 +f 10930/12065 10933/12067 10939/12073 10936/12071 +f 10934/12069 10935/12068 10941/12074 10940/12075 +f 10933/12067 10932/12070 10938/12076 10939/12073 +f 10932/12070 10934/12069 10940/12075 10938/12076 +f 10937/12072 10936/12071 10942/12077 10943/12078 +f 10936/12071 10939/12073 10945/12079 10942/12077 +f 10947/12080 11027/12081 11035/12082 10946/12083 +f 10939/12073 10938/12076 10944/12084 10945/12079 +f 11029/12085 11028/12086 11036/12087 11037/12088 +f 11019/12035 10901/12036 10837/11961 11013/11960 +f 10837/11961 10901/12036 10907/12038 10845/11965 +f 10954/12046 10959/12045 10960/12089 10955/12090 +f 10955/12090 10960/12089 10962/12091 10957/12092 +f 10853/11983 10913/12047 10919/12050 10861/11984 +f 10861/11984 10919/12050 10925/12060 10869/11995 +f 10869/11995 10925/12060 10931/12066 10877/12004 +f 10877/12004 10931/12066 10937/12072 10885/12010 +f 10885/12010 10937/12072 10943/12078 10893/12019 +f 10949/12093 10982/12094 10983/12044 10954/12046 +f 10988/12095 10989/12096 10952/12097 10951/12098 +f 10989/12096 10993/12099 10950/12100 10952/12097 +f 10993/12099 10990/12101 10949/12093 10950/12100 +f 10992/12102 10988/12095 10951/12098 10948/12103 +f 10948/12103 10951/12098 10956/12104 10953/12105 +f 10952/12097 10950/12100 10955/12090 10957/12092 +f 10951/12098 10952/12097 10957/12092 10956/12104 +f 10982/12094 4318/4880 4324/4879 10983/12044 +f 10950/12100 10949/12093 10954/12046 10955/12090 +f 10957/12092 10962/12091 10961/12106 10956/12104 +f 10956/12104 10961/12106 10958/12107 10953/12105 +f 10958/12107 10917/12054 10911/12040 10953/12105 +f 10916/12053 10910/12041 10911/12040 10917/12054 +f 10910/12041 10916/12053 10914/12057 10908/12042 +f 10915/12051 10909/12039 10908/12042 10914/12057 +f 10909/12039 10915/12051 10912/12048 10906/12037 +f 10913/12047 10907/12038 10906/12037 10912/12048 +f 10853/11983 10845/11965 10907/12038 10913/12047 +f 10845/11965 10853/11983 10860/11982 10846/11966 +f 10958/12107 10961/12106 10966/12108 10963/12109 +f 10962/12091 10960/12089 10965/12110 10967/12111 +f 10961/12106 10962/12091 10967/12111 10966/12108 +f 10984/12043 4330/4892 4336/4891 10985/12112 +f 10960/12089 10959/12045 10964/12113 10965/12110 +f 10963/12109 10966/12108 10971/12114 10968/12115 +f 10967/12111 10965/12110 10970/12116 10972/12117 +f 10966/12108 10967/12111 10972/12117 10971/12114 +f 10985/12112 4336/4891 4342/4900 10986/12118 +f 10965/12110 10964/12113 10969/12119 10970/12116 +f 10968/12115 10971/12114 10976/12120 10973/12121 +f 10972/12117 10970/12116 10975/12122 10977/12123 +f 10971/12114 10972/12117 10977/12123 10976/12120 +f 10986/12118 4342/4900 4348/4907 10987/12124 +f 10970/12116 10969/12119 10974/12125 10975/12122 +f 10973/12121 10976/12120 10980/12126 10978/12127 +f 10976/12120 10977/12123 10981/12128 10980/12126 +f 10838/11951 10846/11966 10860/11982 10847/11969 +f 10959/12045 10984/12043 10985/12112 10964/12113 +f 10964/12113 10985/12112 10986/12118 10969/12119 +f 10969/12119 10986/12118 10987/12124 10974/12125 +f 10832/11944 10826/11937 10825/11933 10831/12129 +f 10831/12129 10825/11933 10824/11932 10830/12130 +f 10830/12130 10824/11932 10823/11936 10829/12131 +f 10823/11936 10836/11943 11010/11959 10829/12131 +f 10816/11921 11013/11960 11010/11959 10836/11943 +f 10807/11920 11019/12035 11013/11960 10816/11921 +f 11019/12035 10807/11920 10806/11919 11015/12025 +f 10809/11915 11014/12026 11015/12025 10806/11919 +f 10994/12132 4371/4915 4373/4914 10995/12133 +f 10994/12132 10995/12133 10999/12134 10998/12135 +f 10998/12135 10999/12134 11003/12136 11002/12137 +f 10991/12138 10982/12094 10949/12093 10990/12101 +f 10982/12094 10991/12138 4368/4921 4318/4880 +f 4196/11940 10834/11939 11006/11946 4388/11945 +f 10830/12130 10829/12131 11007/11950 11008/11949 +f 10831/12129 10830/12130 11008/11949 11009/11953 +f 10832/11944 10831/12129 11009/11953 11011/11955 +f 8274/9105 8278/9119 8282/9134 8238/9054 +f 10833/11941 10832/11944 11011/11955 11012/11957 +f 11014/12026 10809/11915 10808/11914 11018/12033 +f 10834/11939 10833/11941 11012/11957 11006/11946 +f 10810/11911 11017/12029 11018/12033 10808/11914 +f 11017/12029 10810/11911 10811/11910 11016/12030 +f 11016/12030 10811/11910 10803/11913 10992/12102 +f 10812/11912 10988/12095 10992/12102 10803/11913 +f 10813/11918 10989/12096 10988/12095 10812/11912 +f 10805/11917 10993/12099 10989/12096 10813/11918 +f 10923/12055 10963/12109 10968/12115 10929/12062 +f 10848/11968 10839/11952 10838/11951 10847/11969 +f 10905/12031 10948/12103 10953/12105 10911/12040 +f 11016/12030 10992/12102 10948/12103 10905/12031 +f 10935/12068 10973/12121 10978/12127 10941/12074 +f 10804/11916 10990/12101 10993/12099 10805/11917 +f 10849/11972 10840/11954 10839/11952 10848/11968 +f 10917/12054 10958/12107 10963/12109 10923/12055 +f 10929/12062 10968/12115 10973/12121 10935/12068 +f 8238/9054 8282/9134 8283/9136 8239/9055 +f 8239/9055 8283/9136 8294/9186 8240/9061 +f 10454/11542 10442/11529 8240/9061 8294/9186 +f 10537/11620 10504/11607 10442/11529 10454/11542 +f 10504/9064 10537/9184 8366/9112 8241/9065 +f 8241/9065 8366/9112 8365/9115 8242/9058 +f 8242/9058 8365/9115 8364/9118 8243/9059 +f 10601/11691 10592/11700 8243/9059 8364/9118 +f 10592/11700 10601/11691 10614/11709 10605/11706 +f 10605/11706 10614/11709 10627/11724 10618/11721 +f 10618/11721 10627/11724 10640/11738 10631/11735 +f 10631/11735 10640/11738 10653/11752 10644/11749 +f 10644/11749 10653/11752 10666/11766 10657/11763 +f 10657/11763 10666/11766 10679/11780 10670/11777 +f 10670/11777 10679/11780 10692/11796 10683/11793 +f 10788/11881 10697/11813 10683/11793 10692/11796 +f 10697/11813 10788/11881 10706/11909 10792/11830 +f 10792/11830 10706/11909 10719/11924 10711/11831 +f 10711/11831 10719/11924 10835/11942 10817/11927 +f 10817/11927 10835/11942 10836/11943 10823/11936 +f 10759/11886 10991/12138 10990/12101 10804/11916 +f 10991/12138 10759/11886 4111/4664 4368/4921 +f 10829/12131 11010/11959 10844/11962 11007/11950 +f 11007/11950 10844/11962 10846/11966 10838/11951 +f 10850/11974 10841/11956 10840/11954 10849/11972 +f 10851/11967 10842/11958 10841/11956 10850/11974 +f 10847/11969 10860/11982 10868/11985 10854/11970 +f 10854/11970 10868/11985 10876/11996 10862/11979 +f 10862/11979 10876/11996 10884/12005 10870/11992 +f 10870/11992 10884/12005 10892/12011 10878/12001 +f 10899/12020 10886/12016 10878/12001 10892/12011 +f 10975/12122 10979/12139 10981/12128 10977/12123 +f 11025/12140 11022/12141 10942/12077 10945/12079 +f 10943/12078 10942/12077 11022/12141 11023/12142 +f 10893/12019 10943/12078 11023/12142 11020/12143 +f 10947/12080 11026/12144 10980/12126 10981/12128 +f 10945/12079 10944/12084 11024/12145 11025/12140 +f 11020/12143 11021/12146 10899/12020 10893/12019 +f 10981/12128 10979/12139 11027/12081 10947/12080 +f 10941/12074 10978/12127 11028/12086 11029/12085 +f 11026/12144 11028/12086 10978/12127 10980/12126 +f 10886/12016 10899/12020 11021/12146 10894/12017 +f 12991/12147 11031/12148 11003/12136 12990/12149 +f 11031/12148 11030/12150 11002/12137 11003/12136 +f 11034/12151 11036/12087 11028/12086 11026/12144 +f 10946/12083 11034/12151 11026/12144 10947/12080 +f 11039/12152 11038/12153 11030/12150 11031/12148 +f 12992/12154 11039/12152 11031/12148 12991/12147 +f 11043/12155 11042/12156 11038/12153 11039/12152 +f 12993/12157 11043/12155 11039/12152 12992/12154 +f 11037/12088 11048/12158 11047/12159 11029/12085 +f 11047/12159 10940/12075 10941/12074 11029/12085 +f 10940/12075 11047/12159 10944/12084 10938/12076 +f 11048/12158 11024/12145 10944/12084 11047/12159 +f 10896/12021 10889/12012 10888/12009 11046/12160 +f 11046/12160 10888/12009 10887/12008 11049/12161 +f 11049/12161 10887/12008 10895/12018 11050/12162 +f 12994/12163 11065/12164 11043/12155 12993/12157 +f 11060/12165 11062/12166 11036/12087 11034/12151 +f 10894/12017 11021/12146 11055/12167 11051/12168 +f 11050/12162 10895/12018 11052/12169 11069/12170 +f 11023/12142 11022/12141 11056/12171 11057/12172 +f 11037/12088 11036/12087 11062/12166 11063/12173 +f 11020/12143 11023/12142 11057/12172 11054/12174 +f 11063/12173 11068/12175 11048/12158 11037/12088 +f 11054/12174 11055/12167 11021/12146 11020/12143 +f 10946/12083 11035/12082 11061/12176 11053/12177 +f 11059/12178 11056/12171 11022/12141 11025/12140 +f 11025/12140 11024/12145 11058/12179 11059/12178 +f 11065/12164 11064/12180 11042/12156 11043/12155 +f 10895/12018 10894/12017 11051/12168 11052/12169 +f 11024/12145 11048/12158 11068/12175 11058/12179 +f 11053/12177 11060/12165 11034/12151 10946/12083 +f 11051/12168 11055/12167 11074/12181 11070/12182 +f 11073/12183 11074/12181 11055/12167 11054/12174 +f 11072/12184 11079/12185 11060/12165 11053/12177 +f 11078/12186 11075/12187 11056/12171 11059/12178 +f 11052/12169 11051/12168 11070/12182 11071/12188 +f 11084/12189 11083/12190 11064/12180 11065/12164 +f 11059/12178 11058/12179 11077/12191 11078/12186 +f 11079/12185 11081/12192 11062/12166 11060/12165 +f 11082/12193 11087/12194 11068/12175 11063/12173 +f 12995/12195 11084/12189 11065/12164 12994/12163 +f 11057/12172 11056/12171 11075/12187 11076/12196 +f 11053/12177 11061/12176 11080/12197 11072/12184 +f 11058/12179 11068/12175 11087/12194 11077/12191 +f 11054/12174 11057/12172 11076/12196 11073/12183 +f 11063/12173 11062/12166 11081/12192 11082/12193 +f 11069/12170 11052/12169 11071/12188 11088/12198 +f 13352/12199 11091/12200 11099/12201 13333/12202 +f 13334/12203 13333/12202 11099/12201 11102/12204 +f 13335/12205 11122/12206 11121/12207 13334/12203 +f 13336/12208 12997/12209 11122/12206 13335/12205 +f 13336/12208 13337/12210 11123/12211 12997/12209 +f 13338/12212 13337/12213 11104/12214 11105/12215 +f 13339/12216 13338/12212 11105/12215 11107/12217 +f 13339/12216 11107/12217 11090/12218 13340/12219 +f 13340/12219 11090/12218 11089/12220 13341/12221 +f 13341/12221 11089/12220 11093/12222 13342/12223 +f 13343/12224 11111/12225 11112/12226 13342/12223 +f 13343/12224 11092/12227 11095/12228 13344/12229 +f 11154/12230 11151/12231 11132/12232 11135/12233 +f 11128/12234 11127/12235 11146/12236 11147/12237 +f 11160/12238 11159/12239 11140/12240 11141/12241 +f 11135/12233 11134/12242 11153/12243 11154/12230 +f 11155/12244 11157/12245 11138/12246 11136/12247 +f 11158/12248 11163/12249 11144/12250 11139/12251 +f 12999/12252 11160/12238 11141/12241 12998/12253 +f 11133/12254 11132/12232 11151/12231 11152/12255 +f 11129/12256 11137/12257 11156/12258 11148/12259 +f 11134/12242 11144/12250 11163/12249 11153/12243 +f 11130/12260 11133/12254 11152/12255 11149/12261 +f 11139/12251 11138/12246 11157/12245 11158/12248 +f 11145/12262 11128/12234 11147/12237 11164/12263 +f 11127/12235 11131/12264 11150/12265 11146/12236 +f 11149/12261 11150/12265 11131/12264 11130/12260 +f 11148/12259 11155/12244 11136/12247 11129/12256 +f 11153/12243 11163/12249 11182/12266 11172/12267 +f 11149/12261 11152/12255 11171/12268 11168/12269 +f 11158/12248 11157/12245 11176/12270 11177/12271 +f 11164/12263 11147/12237 11166/12272 11183/12273 +f 11146/12236 11150/12265 11169/12274 11165/12275 +f 11168/12269 11169/12274 11150/12265 11149/12261 +f 11167/12276 11174/12277 11155/12244 11148/12259 +f 11173/12278 11170/12279 11151/12231 11154/12230 +f 11147/12237 11146/12236 11165/12275 11166/12272 +f 11179/12280 11178/12281 11159/12239 11160/12238 +f 11154/12230 11153/12243 11172/12267 11173/12278 +f 11174/12277 11176/12270 11157/12245 11155/12244 +f 11177/12271 11182/12266 11163/12249 11158/12248 +f 13000/12282 11179/12280 11160/12238 12999/12252 +f 11152/12255 11151/12231 11170/12279 11171/12268 +f 11148/12259 11156/12258 11175/12283 11167/12276 +f 11186/12284 11193/12285 11174/12277 11167/12276 +f 11192/12286 11189/12287 11170/12279 11173/12278 +f 11166/12272 11165/12275 11184/12288 11185/12289 +f 11198/12290 11197/12291 11178/12281 11179/12280 +f 11173/12278 11172/12267 11191/12292 11192/12286 +f 11193/12285 11195/12293 11176/12270 11174/12277 +f 11196/12294 11201/12295 11182/12266 11177/12271 +f 13001/12296 11198/12290 11179/12280 13000/12282 +f 11171/12268 11170/12279 11189/12287 11190/12297 +f 11167/12276 11175/12283 11194/12298 11186/12284 +f 11172/12267 11182/12266 11201/12295 11191/12292 +f 11168/12269 11171/12268 11190/12297 11187/12299 +f 11177/12271 11176/12270 11195/12293 11196/12294 +f 11183/12273 11166/12272 11185/12289 11202/12300 +f 11165/12275 11169/12274 11188/12301 11184/12288 +f 11187/12299 11188/12301 11169/12274 11168/12269 +f 11191/12292 11201/12295 11220/12302 11210/12303 +f 11187/12299 11190/12297 11209/12304 11206/12305 +f 11196/12294 11195/12293 11214/12306 11215/12307 +f 11202/12300 11185/12289 11204/12308 11221/12309 +f 11184/12288 11188/12301 11207/12310 11203/12311 +f 11206/12305 11207/12310 11188/12301 11187/12299 +f 11205/12312 11212/12313 11193/12285 11186/12284 +f 11211/12314 11208/12315 11189/12287 11192/12286 +f 11185/12289 11184/12288 11203/12311 11204/12308 +f 11217/12316 11216/12317 11197/12291 11198/12290 +f 11192/12286 11191/12292 11210/12303 11211/12314 +f 11212/12313 11214/12306 11195/12293 11193/12285 +f 11215/12307 11220/12302 11201/12295 11196/12294 +f 13002/12318 11217/12316 11198/12290 13001/12296 +f 11190/12297 11189/12287 11208/12315 11209/12304 +f 11186/12284 11194/12298 11213/12319 11205/12312 +f 11224/12320 11231/12321 11212/12313 11205/12312 +f 11230/12322 11227/12323 11208/12315 11211/12314 +f 11204/12308 11203/12311 11222/12324 11223/12325 +f 11236/12326 11235/12327 11216/12317 11217/12316 +f 11211/12314 11210/12303 11229/12328 11230/12322 +f 11231/12321 11233/12329 11214/12306 11212/12313 +f 11234/12330 11239/12331 11220/12302 11215/12307 +f 13003/12332 11236/12326 11217/12316 13002/12318 +f 11209/12304 11208/12315 11227/12323 11228/12333 +f 11205/12312 11213/12319 11232/12334 11224/12320 +f 11210/12303 11220/12302 11239/12331 11229/12328 +f 11206/12305 11209/12304 11228/12333 11225/12335 +f 11215/12307 11214/12306 11233/12329 11234/12330 +f 11221/12309 11204/12308 11223/12325 11240/12336 +f 11203/12311 11207/12310 11226/12337 11222/12324 +f 11225/12335 11226/12337 11207/12310 11206/12305 +f 11224/12320 11232/12334 11251/12338 11243/12339 +f 11229/12328 11239/12331 11258/12340 11248/12341 +f 11225/12335 11228/12333 11247/12342 11244/12343 +f 11234/12330 11233/12329 11252/12344 11253/12345 +f 11240/12336 11223/12325 11242/12346 11259/12347 +f 11222/12324 11226/12337 11245/12348 11241/12349 +f 11244/12343 11245/12348 11226/12337 11225/12335 +f 11243/12339 11250/12350 11231/12321 11224/12320 +f 11249/12351 11246/12352 11227/12323 11230/12322 +f 11223/12325 11222/12324 11241/12349 11242/12346 +f 11255/12353 11254/12354 11235/12327 11236/12326 +f 11230/12322 11229/12328 11248/12341 11249/12351 +f 11250/12350 11252/12344 11233/12329 11231/12321 +f 11253/12345 11258/12340 11239/12331 11234/12330 +f 13004/12355 11255/12353 11236/12326 13003/12332 +f 11228/12333 11227/12323 11246/12352 11247/12342 +f 11262/12356 11269/12357 11250/12350 11243/12339 +f 11268/12358 11265/12359 11246/12352 11249/12351 +f 11242/12346 11241/12349 11260/12360 11261/12361 +f 11274/12362 11273/12363 11254/12354 11255/12353 +f 11249/12351 11248/12341 11267/12364 11268/12358 +f 11269/12357 11271/12365 11252/12344 11250/12350 +f 11272/12366 11277/12367 11258/12340 11253/12345 +f 13005/12368 11274/12362 11255/12353 13004/12355 +f 11247/12342 11246/12352 11265/12359 11266/12369 +f 11243/12339 11251/12338 11270/12370 11262/12356 +f 11248/12341 11258/12340 11277/12367 11267/12364 +f 11244/12343 11247/12342 11266/12369 11263/12371 +f 11253/12345 11252/12344 11271/12365 11272/12366 +f 11259/12347 11242/12346 11261/12361 11278/12372 +f 11241/12349 11245/12348 11264/12373 11260/12360 +f 11263/12371 11264/12373 11245/12348 11244/12343 +f 11291/12374 11296/12375 11277/12367 11272/12366 +f 13006/12376 11293/12377 11274/12362 13005/12368 +f 11266/12369 11265/12359 11284/12378 11285/12379 +f 11262/12356 11270/12370 11289/12380 11281/12381 +f 11267/12364 11277/12367 11296/12375 11286/12382 +f 11263/12371 11266/12369 11285/12379 11282/12383 +f 11272/12366 11271/12365 11290/12384 11291/12374 +f 11278/12372 11261/12361 11280/12385 11297/12386 +f 11260/12360 11264/12373 11283/12387 11279/12388 +f 11282/12383 11283/12387 11264/12373 11263/12371 +f 11281/12381 11288/12389 11269/12357 11262/12356 +f 11287/12390 11284/12378 11265/12359 11268/12358 +f 11261/12361 11260/12360 11279/12388 11280/12385 +f 11293/12377 11292/12391 11273/12363 11274/12362 +f 11268/12358 11267/12364 11286/12382 11287/12390 +f 11288/12389 11290/12384 11271/12365 11269/12357 +f 11301/12392 11302/12393 11283/12387 11282/12383 +f 11300/12394 11307/12395 11288/12389 11281/12381 +f 11306/12396 11303/12397 11284/12378 11287/12390 +f 11280/12385 11279/12388 11298/12398 11299/12399 +f 11312/12400 11311/12401 11292/12391 11293/12377 +f 11287/12390 11286/12382 11305/12402 11306/12396 +f 11307/12395 11309/12403 11290/12384 11288/12389 +f 11310/12404 11315/12405 11296/12375 11291/12374 +f 13007/12406 11312/12400 11293/12377 13006/12376 +f 11285/12379 11284/12378 11303/12397 11304/12407 +f 11281/12381 11289/12380 11308/12408 11300/12394 +f 11286/12382 11296/12375 11315/12405 11305/12402 +f 11282/12383 11285/12379 11304/12407 11301/12392 +f 11291/12374 11290/12384 11309/12403 11310/12404 +f 11297/12386 11280/12385 11299/12399 11316/12409 +f 11279/12388 11283/12387 11302/12393 11298/12398 +f 11329/12410 11334/12411 11315/12405 11310/12404 +f 13008/12412 11331/12413 11312/12400 13007/12406 +f 11304/12407 11303/12397 11322/12414 11323/12415 +f 11300/12394 11308/12408 11327/12416 11319/12417 +f 11305/12402 11315/12405 11334/12411 11324/12418 +f 11301/12392 11304/12407 11323/12415 11320/12419 +f 11310/12404 11309/12403 11328/12420 11329/12410 +f 11316/12409 11299/12399 11318/12421 11335/12422 +f 11298/12398 11302/12393 11321/12423 11317/12424 +f 11320/12419 11321/12423 11302/12393 11301/12392 +f 11319/12417 11326/12425 11307/12395 11300/12394 +f 11325/12426 11322/12414 11303/12397 11306/12396 +f 11299/12399 11298/12398 11317/12424 11318/12421 +f 11331/12413 11330/12427 11311/12401 11312/12400 +f 11306/12396 11305/12402 11324/12418 11325/12426 +f 11326/12425 11328/12420 11309/12403 11307/12395 +f 11335/12422 11318/12421 11337/12428 11354/12429 +f 11317/12424 11321/12423 11340/12430 11336/12431 +f 11339/12432 11340/12430 11321/12423 11320/12419 +f 11338/12433 11345/12434 11326/12425 11319/12417 +f 11344/12435 11341/12436 11322/12414 11325/12426 +f 11318/12421 11317/12424 11336/12431 11337/12428 +f 11350/12437 11349/12438 11330/12427 11331/12413 +f 11325/12426 11324/12418 11343/12439 11344/12435 +f 11345/12434 11347/12440 11328/12420 11326/12425 +f 11348/12441 11353/12442 11334/12411 11329/12410 +f 13009/12443 11350/12437 11331/12413 13008/12412 +f 11323/12415 11322/12414 11341/12436 11342/12444 +f 11319/12417 11327/12416 11346/12445 11338/12433 +f 11324/12418 11334/12411 11353/12442 11343/12439 +f 11320/12419 11323/12415 11342/12444 11339/12432 +f 11329/12410 11328/12420 11347/12440 11348/12441 +f 11344/12435 11343/12439 11362/12446 11363/12447 +f 11364/12448 11366/12449 11347/12440 11345/12434 +f 11367/12450 11372/12451 11353/12442 11348/12441 +f 13010/12452 11369/12453 11350/12437 13009/12443 +f 11342/12444 11341/12436 11360/12454 11361/12455 +f 11338/12433 11346/12445 11365/12456 11357/12457 +f 11343/12439 11353/12442 11372/12451 11362/12446 +f 11339/12432 11342/12444 11361/12455 11358/12458 +f 11348/12441 11347/12440 11366/12449 11367/12450 +f 11354/12429 11337/12428 11356/12459 11373/12460 +f 11336/12431 11340/12430 11359/12461 11355/12462 +f 11358/12458 11359/12461 11340/12430 11339/12432 +f 11357/12457 11364/12448 11345/12434 11338/12433 +f 11363/12447 11360/12454 11341/12436 11344/12435 +f 11337/12428 11336/12431 11355/12462 11356/12459 +f 11369/12453 11368/12463 11349/12438 11350/12437 +f 11373/12460 11356/12459 11375/12464 11392/12465 +f 11355/12462 11359/12461 11378/12466 11374/12467 +f 11377/12468 11378/12466 11359/12461 11358/12458 +f 11376/12469 11383/12470 11364/12448 11357/12457 +f 11382/12471 11379/12472 11360/12454 11363/12447 +f 11356/12459 11355/12462 11374/12467 11375/12464 +f 11388/12473 11387/12474 11368/12463 11369/12453 +f 11363/12447 11362/12446 11381/12475 11382/12471 +f 11383/12470 11385/12476 11366/12449 11364/12448 +f 11386/12477 11391/12478 11372/12451 11367/12450 +f 13011/12479 11388/12473 11369/12453 13010/12452 +f 11361/12455 11360/12454 11379/12472 11380/12480 +f 11357/12457 11365/12456 11384/12481 11376/12469 +f 11362/12446 11372/12451 11391/12478 11381/12475 +f 11358/12458 11361/12455 11380/12480 11377/12468 +f 11367/12450 11366/12449 11385/12476 11386/12477 +f 11407/12482 11406/12483 11387/12474 11388/12473 +f 11382/12471 11381/12475 11400/12484 11401/12485 +f 11402/12486 11404/12487 11385/12476 11383/12470 +f 11405/12488 11410/12489 11391/12478 11386/12477 +f 13012/12490 11407/12482 11388/12473 13011/12479 +f 11380/12480 11379/12472 11398/12491 11399/12492 +f 11376/12469 11384/12481 11403/12493 11395/12494 +f 11381/12475 11391/12478 11410/12489 11400/12484 +f 11377/12468 11380/12480 11399/12492 11396/12495 +f 11386/12477 11385/12476 11404/12487 11405/12488 +f 11392/12465 11375/12464 11394/12496 11411/12497 +f 11374/12467 11378/12466 11397/12498 11393/12499 +f 11396/12495 11397/12498 11378/12466 11377/12468 +f 11395/12494 11402/12486 11383/12470 11376/12469 +f 11401/12485 11398/12491 11379/12472 11382/12471 +f 11375/12464 11374/12467 11393/12499 11394/12496 +f 4781/5281 4810/5316 4809/5314 4780/5282 +f 4778/5285 4807/5342 4810/5316 4781/5281 +f 4807/5342 4778/5285 4779/5289 4808/5347 +f 4775/5288 4804/5329 4808/5347 4779/5289 +f 4776/5287 4805/5326 4804/5329 4775/5288 +f 4793/5286 4821/5344 4805/5326 4776/5287 +f 4791/6996 4819/6738 4821/5344 4793/5286 +f 4819/6738 4791/6996 4790/6999 4818/6739 +f 4818/7253 4790/7254 6415/5280 6417/5338 +f 4820/5320 4787/5278 4792/5279 4811/5335 +f 4782/5275 4812/5312 4811/5335 4792/5279 +f 6417/5338 6415/5280 4789/5272 4817/5331 +f 4817/5331 4789/5272 4788/5273 4816/5332 +f 4816/5332 4788/5273 4785/5284 4814/5340 +f 4777/5283 4806/5323 4814/5340 4785/5284 +f 12969/12500 12922/12501 12925/12502 12465/12503 +f 12944/12504 12945/12505 12938/12506 12939/12507 +f 12978/12508 12971/12509 12987/12510 13031/12511 +f 12971/12509 13037/12512 12839/12513 12987/12510 +f 12970/12514 12839/12513 13037/12512 11421/12515 +f 11460/12516 12970/12517 11421/12518 11420/12519 +f 11448/12520 11460/12516 11420/12519 11417/12521 +f 11417/12521 13013/12522 11430/12523 11448/12520 +f 11427/12524 13013/12522 11417/12521 11418/12525 +f 11418/12525 11446/12526 11428/12527 11427/12524 +f 11418/12525 11419/12528 12959/12529 11446/12526 +f 4806/5323 4777/5283 4784/5276 4813/5324 +f 4813/5324 4784/5276 4786/5277 4815/5321 +f 11402/12486 11431/12530 11433/12531 11404/12487 +f 11395/12494 11424/12532 11431/12530 11402/12486 +f 11424/12532 11395/12494 11403/12493 11432/12533 +f 11403/12493 11406/12483 11434/12534 11432/12533 +f 11407/12482 11435/12535 11434/12534 11406/12483 +f 13012/12490 13014/12536 11435/12535 11407/12482 +f 11436/12537 13014/12536 13012/12490 11408/12538 +f 11408/12539 11409/12540 11437/12541 11436/12542 +f 11439/12543 11437/12541 11409/12540 11411/12497 +f 4783/5274 6416/5313 4812/5312 4782/5275 +f 6416/5313 4783/5274 4780/5282 4809/5314 +f 11438/12544 11405/12488 11404/12487 11433/12531 +f 11439/12543 11411/12497 11394/12496 11423/12545 +f 11442/12546 11449/12547 11431/12530 11424/12532 +f 11423/12545 11422/12548 11440/12549 11441/12550 +f 11453/12551 11452/12552 11434/12534 11435/12535 +f 11430/12523 11429/12553 11447/12554 11448/12520 +f 11449/12547 11451/12555 11433/12531 11431/12530 +f 13015/12556 11453/12551 11435/12535 13014/12536 +f 11420/12519 11419/12528 11418/12525 11417/12521 +f 11424/12532 11432/12533 11450/12557 11442/12546 +f 11429/12553 11438/12544 11456/12558 11447/12554 +f 11425/12559 11428/12527 11446/12526 11443/12560 +f 11439/12543 11423/12545 11441/12550 11457/12561 +f 11422/12548 11426/12562 11444/12563 11440/12549 +f 11443/12560 11444/12563 11426/12562 11425/12559 +f 11442/12546 11450/12557 11462/12564 11458/12565 +f 11447/12554 11456/12558 11465/12566 11459/12567 +f 12974/12568 12959/12529 11419/12528 12886/12569 +f 11458/12565 11461/12570 11449/12547 11442/12546 +f 12820/12571 12834/12572 12845/12573 12830/12574 +f 11448/12520 11447/12554 11459/12567 11460/12516 +f 11461/12570 11463/12575 11451/12555 11449/12547 +f 6787/7328 6788/7327 11466/7322 11467/7321 +f 6791/8451 11468/7329 11467/7321 6785/7324 +f 6794/8449 11469/7334 11468/7329 6791/8451 +f 6797/8447 11470/7337 11469/7334 6794/8449 +f 6800/8445 11471/7340 11470/7337 6797/8447 +f 6803/8444 11472/7343 11471/7340 6800/8445 +f 6806/8485 11473/7346 11472/7343 6803/8444 +f 6809/8483 11474/7349 11473/7346 6806/8485 +f 6812/8482 11475/7352 11474/7349 6809/8483 +f 11694/8479 11743/7355 11475/7352 6812/8482 +f 6821/8474 11478/7360 11477/7361 6818/8475 +f 6832/8467 11481/7362 11480/7365 6829/8470 +f 6835/8466 11482/7368 11481/7362 6832/8467 +f 11696/8463 11744/7371 11482/7368 6835/8466 +f 6840/7377 11484/7374 11466/7322 6788/7327 +f 6843/7379 11485/7380 11484/7374 6840/7377 +f 6846/7383 11486/7384 11485/7380 6843/7379 +f 6885/7387 11491/7388 11486/7384 6846/7383 +f 6852/7391 11488/7394 11487/7397 6849/7392 +f 6855/7399 11489/7400 11488/7394 6852/7391 +f 6858/7403 11490/7404 11489/7400 6855/7399 +f 6849/7392 11487/7397 11491/7388 6885/7387 +f 6815/8478 6818/8475 11477/7361 11476/8842 +f 6875/7499 6878/7495 11514/7425 11516/7424 +f 6868/7487 6867/7428 11496/7420 11497/7419 +f 6865/7471 6864/7411 11506/7410 11508/7409 +f 6861/7477 6860/7476 11509/7407 11504/7406 +f 6877/7429 6876/7491 11495/7422 11517/7421 +f 6882/7441 6883/7443 11511/7432 11513/7431 +f 6883/7443 6884/7445 11492/7433 11511/7432 +f 6799/7336 11496/7420 11517/7421 6796/7333 +f 6870/7481 6869/7480 11498/7418 11499/7417 +f 6847/7382 11494/7427 11510/7434 6886/7386 +f 6871/7484 6870/7481 11499/7417 11500/7416 +f 6860/7476 6873/8838 11501/8839 11509/7407 +f 11699/8228 6872/7485 11502/7415 11745/7414 +f 6881/7436 6882/7441 11513/7431 11512/7430 +f 6876/7491 6874/7497 11515/7423 11495/7422 +f 6874/7497 6875/7499 11516/7424 11515/7423 +f 6886/7386 11510/7434 11512/7430 6850/7393 +f 6879/7494 6880/7437 11494/7427 11493/7426 +f 6869/7480 6868/7487 11497/7419 11498/7418 +f 6830/7366 11506/7410 11505/7413 6827/7367 +f 6878/7495 6879/7494 11493/7426 11514/7425 +f 11698/7473 6865/7471 11508/7409 11746/7408 +f 6872/7485 6871/7484 11500/7416 11502/7415 +f 11582/12576 11538/12577 11519/12578 11572/12579 +f 11581/12580 11532/12581 11547/12582 11586/12583 +f 11592/12584 11526/12585 11523/12586 11599/12587 +f 11575/12588 11525/12589 11528/12590 11577/12591 +f 11600/12592 11546/12593 11530/12594 11594/12595 +f 11597/12596 11595/12597 11537/12598 11545/12599 +f 11584/12600 11542/12601 11538/12577 11582/12576 +f 11590/12602 11596/12603 11541/12604 11520/12605 +f 11596/12603 11597/12596 11545/12599 11541/12604 +f 11580/12606 11534/12607 11542/12601 11584/12600 +f 11601/12608 11604/12609 11562/12610 11558/12611 +f 11593/12612 11602/12613 11559/12614 11564/12615 +f 11598/12616 11560/12617 11563/12618 11605/12619 +f 11603/12620 11561/12621 11565/12622 11591/12623 +f 11602/12613 11601/12608 11558/12611 11559/12614 +f 11577/12591 11528/12590 11568/12624 11588/12625 +f 11603/12620 11527/12626 11567/12627 11607/12628 +f 11606/12629 11566/12630 11526/12585 11592/12584 +f 11540/12631 11583/12632 11573/12633 11518/12634 +f 11533/12635 11578/12636 11587/12637 11549/12638 +f 11522/12639 11574/12640 11576/12641 11529/12642 +f 11544/12643 11585/12644 11583/12632 11540/12631 +f 11535/12645 11579/12646 11585/12644 11544/12643 +f 11529/12642 11576/12641 11589/12647 11569/12648 +f 11552/12649 11592/12584 11599/12587 11551/12650 +f 11557/12651 11600/12592 11594/12595 11553/12652 +f 11556/12653 11554/12654 11595/12597 11597/12596 +f 11550/12655 11555/12656 11596/12603 11590/12602 +f 11555/12656 11556/12653 11597/12596 11596/12603 +f 11543/12657 11536/12658 11604/12609 11601/12608 +f 11521/12659 11539/12660 11602/12613 11593/12612 +f 11548/12661 11598/12616 11605/12619 11531/12662 +f 11527/12626 11603/12620 11591/12623 11524/12663 +f 11539/12660 11543/12657 11601/12608 11602/12613 +f 11561/12621 11603/12620 11607/12628 11571/12664 +f 11570/12665 11606/12629 11592/12584 11552/12649 +f 11580/12606 11578/12636 11533/12635 11534/12607 +f 12770/12666 11532/12581 11535/12645 12769/12667 +f 11649/12668 11618/12669 11621/12670 11650/12671 +f 11657/12672 11612/12673 11609/12674 11660/12675 +f 11645/12676 11611/12677 11614/12678 11647/12679 +f 11661/12680 11620/12681 11616/12682 11658/12683 +f 11654/12684 11640/12685 11618/12669 11649/12668 +f 12905/12686 12906/12687 12908/12688 12919/12689 +f 11659/12690 11628/12691 11630/12692 11663/12693 +f 11662/12694 11629/12695 11631/12696 11656/12697 +f 11647/12679 11614/12678 11634/12698 11652/12699 +f 11662/12694 11613/12700 11633/12701 11665/12702 +f 11664/12703 11632/12704 11612/12673 11657/12672 +f 12906/12687 12907/12705 12909/12706 12908/12688 +f 11658/12683 11616/12682 11641/12707 11666/12708 +f 11663/12693 11630/12692 11643/12709 11667/12710 +f 11619/12711 11648/12712 11651/12713 11623/12714 +f 11608/12715 11644/12716 11646/12717 11615/12718 +f 11639/12719 11655/12720 11648/12712 11619/12711 +f 11615/12718 11646/12717 11653/12721 11635/12722 +f 11423/12545 11394/12496 11393/12499 11422/12548 +f 11625/12723 11657/12672 11660/12675 11624/12724 +f 11627/12725 11661/12680 11658/12683 11626/12726 +f 11622/12727 11659/12690 11663/12693 11617/12728 +f 11613/12700 11662/12694 11656/12697 11610/12729 +f 11629/12695 11662/12694 11665/12702 11637/12730 +f 11636/12731 11664/12703 11657/12672 11625/12723 +f 11626/12726 11658/12683 11666/12708 11642/12732 +f 11617/12728 11663/12693 11667/12710 11638/12733 +f 6816/8841 6817/8840 11692/7354 11693/7353 +f 11670/12734 7054/7665 7103/7664 11674/11503 +f 11686/7610 7054/7665 11670/12734 11754/12735 +f 11678/12736 11679/12737 11676/12738 11677/12739 +f 11716/12740 11706/12741 6990/12742 6959/12743 +f 6942/12744 6941/12745 11681/12746 11680/12747 +f 11702/12748 11716/12740 6959/12743 7610/12749 +f 6942/12744 6977/7605 6976/7606 6941/12745 +f 7100/7619 11674/11503 11673/11499 7099/7616 +f 165/5534 6942/12744 11680/12747 5064/5535 +f 165/5534 202/299 6977/7605 6942/12744 +f 11679/12737 11702/12748 7610/12749 11676/12738 +f 7100/7619 7081/7618 7120/7666 7058/12750 +f 11909/12751 11821/12752 11857/12753 11912/12754 +f 10418/11522 7016/12755 245/5541 3751/4291 +f 10417/11520 7015/12756 7016/12755 10418/11522 +f 10416/11518 7437/12757 7015/12756 10417/11520 +f 7437/12757 10416/11518 10415/11516 7438/12758 +f 7078/7632 11753/7786 11689/7785 7121/7636 +f 11750/12759 7122/7637 7121/7636 11689/7785 +f 11751/12760 7058/12750 7120/7666 11752/12761 +f 7074/7628 7079/7631 7104/7672 7078/7632 +f 7070/7624 7075/7627 7079/7631 7074/7628 +f 7066/7614 7071/7623 7075/7627 7070/7624 +f 7071/7623 7066/7614 7045/7613 7067/7620 +f 7045/7613 7046/11496 7063/12762 7067/7620 +f 7061/7607 7047/7659 7048/7596 11687/7604 +f 7138/7686 7139/7689 7435/11502 7137/12763 +f 7067/7620 7063/12762 7064/7656 7068/7621 +f 298/358 303/322 7068/7621 7064/7656 +f 11476/8842 6816/8841 11693/7353 11743/7355 +f 11483/12764 6837/12765 11695/7372 11744/7371 +f 6837/12765 6836/12766 11697/7373 11695/7372 +f 11507/12767 11746/7408 11697/7373 6836/12766 +f 11501/8839 11745/7414 11692/7354 6817/8840 +f 6922/12768 11700/7472 11698/7473 6866/12769 +f 6994/8833 11705/7541 11703/7542 6973/8837 +f 7029/8834 11707/7571 11705/7541 6994/8833 +f 7052/7663 7053/7609 11709/7598 11710/7597 +f 7053/7609 6974/7608 11704/7601 11709/7598 +f 7438/12758 10415/11516 10414/11514 7439/12770 +f 6979/7611 11686/7610 11754/12735 11761/12771 +f 7050/7593 7101/7660 11712/7661 11710/7597 +f 11848/8835 7575/8298 11714/8206 11855/8205 +f 6873/8838 6929/8233 11701/8229 11699/8228 +f 6964/7524 6928/7482 11701/8229 11715/8232 +f 7607/8234 6973/8837 11703/7542 11715/8232 +f 11858/12772 11909/12751 11679/12737 11678/12736 +f 7572/8297 11713/8293 11714/8206 7575/8298 +f 6921/7470 11857/12753 11821/12752 6920/7468 +f 13368/8465 13379/8460 11696/8463 6835/8466 +f 13376/8481 13380/8476 11694/8479 6812/8482 +f 7790/8505 11720/8513 11718/8516 7764/8506 +f 7783/8517 11719/8523 11717/8526 7757/8518 +f 7816/8558 11722/8568 11720/8571 7790/8559 +f 7809/8572 11721/8578 11719/8581 7783/8573 +f 7842/8606 11724/8611 11722/8568 7816/8558 +f 7835/8613 11723/8615 11721/8578 7809/8572 +f 7868/8622 11726/8628 11724/8611 7842/8606 +f 7861/8630 11725/8633 11723/8615 7835/8613 +f 7894/8658 11728/8663 11726/8628 7868/8622 +f 7887/8665 11727/8668 11725/8633 7861/8630 +f 7887/8665 7918/8676 11729/8679 11727/8668 +f 7919/8687 11730/8693 11728/8663 7894/8658 +f 7920/8694 11730/8693 11732/8704 7946/12773 +f 7913/8680 11729/8679 11731/8713 7939/8723 +f 7939/8723 11731/8713 11733/8725 7965/8744 +f 7946/12773 11732/8704 11734/8748 7972/12774 +f 7972/12774 11734/8748 11736/8769 7998/12775 +f 7965/8744 11733/8725 11735/8774 7991/8764 +f 8029/8814 8030/8819 8005/8750 8006/8775 +f 8035/8784 8034/8805 8001/8773 8000/8768 +f 11738/8791 11737/8790 7987/8754 7986/8772 +f 11735/8774 7996/8771 8039/8781 8027/8780 +f 8042/8801 8041/8793 7994/8832 7993/8753 +f 8037/8815 8029/8814 8006/8775 7998/12775 +f 8026/8823 8037/8815 7998/12775 11736/8769 +f 7439/12770 10414/11514 10413/11513 7440/12776 +f 6815/8478 11476/8842 11743/7355 11694/8479 +f 6838/8462 11483/12764 11744/7371 11696/8463 +f 6873/8838 11699/8228 11745/7414 11501/8839 +f 6866/12769 11698/7473 11746/7408 11507/12767 +f 11825/12777 11772/12778 5163/5607 5212/5606 +f 11830/12779 11821/12752 11909/12751 11858/12772 +f 11711/12780 7057/7655 7082/7617 7099/7616 +f 11687/7604 7048/7596 7049/7595 7059/7602 +f 7057/7655 11711/12780 7098/11497 7128/7658 +f 11690/7723 11753/7786 7078/7632 7104/7672 +f 11801/12781 10409/11505 11873/11504 11934/12782 +f 11751/12760 11754/12735 11670/12734 7058/12750 +f 7104/7672 7105/7671 11688/7685 11690/7723 +f 7447/8038 7454/8419 7451/12783 7446/8039 +f 11754/12735 11751/12760 11691/12784 11761/12771 +f 7455/12785 7445/8046 7446/8039 7451/12783 +f 7445/8046 7455/12785 7601/12786 7453/8044 +f 7600/12787 7452/8045 7453/8044 7601/12786 +f 7063/12762 11672/11427 11671/7657 7064/7656 +f 7046/11496 11669/11473 11672/11427 7063/12762 +f 11669/11473 7046/11496 7098/11497 11675/11474 +f 11711/12780 11747/11498 11675/11474 7098/11497 +f 11747/11498 11711/12780 7099/7616 11673/11499 +f 6940/12788 6974/7608 6979/7611 6961/12789 +f 7058/12750 11670/12734 11674/11503 7100/7619 +f 10368/12790 10369/11429 7452/8045 7600/12787 +f 10369/11429 10368/12790 11757/12791 7448/8043 +f 11758/12792 7436/8040 7448/8043 11757/12791 +f 11759/12793 10408/11472 7436/8040 11758/12792 +f 10408/11472 11759/12793 11760/12794 7435/11502 +f 7435/11502 11760/12794 11867/12795 7137/12763 +f 11761/12771 11691/12784 11685/7668 11684/7667 +f 11927/12796 11926/12797 7603/12798 11756/12799 +f 11761/12771 11684/7667 6961/12789 6979/7611 +f 7612/8422 6902/7454 6908/7460 11706/12741 +f 10412/11510 7444/12800 7440/12776 10413/11513 +f 7444/12800 10412/11510 10411/11508 7443/12801 +f 11913/8423 7612/8422 11706/12741 11716/12740 +f 7443/12801 10411/11508 10410/11506 7441/12802 +f 7441/12802 10410/11506 10409/11505 7442/12803 +f 11912/12754 11913/8423 11716/12740 11702/12748 +f 11790/12804 11769/12805 11818/12806 11817/12807 +f 10409/11505 11801/12781 11802/12808 7442/12803 +f 11799/12809 11802/12808 11801/12781 11798/12810 +f 11798/12810 11795/12811 11796/12812 11799/12809 +f 11795/12811 11792/12813 11793/12814 11796/12812 +f 11790/12804 11793/12814 11792/12813 11789/12815 +f 11767/12816 11769/12805 11790/12804 11789/12815 +f 11903/11426 10367/11425 7618/8266 11904/12817 +f 11831/12818 11782/12819 5172/5630 5226/5629 +f 132/150 5064/5535 11680/12747 6910/7465 +f 6910/7465 11680/12747 11681/12746 6904/7463 +f 11829/12820 11770/12821 11771/12822 11819/12823 +f 11866/12824 6990/12742 6904/7463 11681/12746 +f 11826/12825 11825/12777 11782/12819 11781/12826 +f 11819/12823 11771/12822 11778/12827 11823/12828 +f 11828/12829 11822/12830 11779/12831 11785/12832 +f 11824/12833 11826/12825 11781/12826 11780/12834 +f 11822/12830 11824/12833 11780/12834 11779/12831 +f 11827/12835 11784/12836 11783/12837 11823/12828 +f 7622/8241 11898/8428 5297/5686 733/1172 +f 11827/12835 11828/12829 11785/12832 11784/12836 +f 11781/12826 11782/12819 11831/12818 11832/12838 +f 11780/12834 11781/12826 11832/12838 11833/12839 +f 11929/12840 11767/12816 11789/12815 11930/12841 +f 11793/12814 11790/12804 11817/12807 11816/12842 +f 11930/12841 11789/12815 11792/12813 11931/12843 +f 11931/12843 11792/12813 11795/12811 11932/12844 +f 11864/12845 6959/12743 6990/12742 11866/12824 +f 6959/12743 11864/12845 11862/12846 7610/12749 +f 11932/12844 11795/12811 11798/12810 11933/12847 +f 11933/12847 11798/12810 11801/12781 11934/12782 +f 11813/12848 7039/12849 7038/12850 11814/12851 +f 11814/12851 7038/12850 7037/12852 11807/12853 +f 7027/7566 11800/12854 7033/7575 7026/7567 +f 7028/7565 11797/12855 11800/12854 7027/7566 +f 11707/7571 11794/12856 11797/12855 7028/7565 +f 11794/12856 11707/7571 7029/8834 11791/12857 +f 11791/12857 7029/8834 7605/8225 11788/12858 +f 11788/12858 7605/8225 6995/8224 11683/12859 +f 11815/12860 11708/12861 7039/12849 11813/12848 +f 7022/8369 252/1109 5193/5656 11805/12862 +f 7021/8037 7022/8369 11805/12862 11806/12863 +f 7011/7562 7012/7564 11808/12864 11803/12865 +f 7014/7560 7013/7559 11809/12866 11804/7582 +f 7013/7559 7011/7562 11803/12865 11809/12866 +f 7012/7564 7021/8037 11806/12863 11808/12864 +f 7037/12852 7034/12867 11810/12868 11807/12853 +f 7034/12867 7035/7579 11811/12869 11810/12868 +f 7035/7579 7036/7578 11812/7583 11811/12869 +f 11708/12861 11815/12860 11816/12842 7040/12870 +f 7040/12870 11816/12842 11817/12807 7613/12871 +f 7613/12871 11817/12807 11818/12806 7457/12872 +f 6919/7469 6920/7468 11821/12752 11830/12779 +f 11769/12805 11768/12873 11820/12874 11818/12806 +f 11786/12875 11829/12820 11819/12823 11787/12876 +f 11773/12877 11772/12778 11825/12777 11826/12825 +f 11787/12876 11819/12823 11823/12828 11783/12837 +f 11776/12878 11775/12879 11822/12830 11828/12829 +f 11774/12880 11773/12877 11826/12825 11824/12833 +f 11775/12879 11774/12880 11824/12833 11822/12830 +f 11777/12881 11827/12835 11823/12828 11778/12827 +f 11777/12881 11776/12878 11828/12829 11827/12835 +f 11779/12831 11780/12834 11833/12839 11834/12882 +f 11860/12883 11676/12738 7610/12749 11862/12846 +f 11859/12884 11677/12739 11676/12738 11860/12883 +f 11668/12885 11677/12739 11859/12884 11762/7670 +f 11668/12885 11762/7670 11763/7669 11765/12886 +f 11829/12820 11755/12887 11764/12888 11770/12821 +f 11785/12832 11779/12831 11834/12882 11835/12889 +f 11784/12836 11785/12832 11835/12889 11836/12890 +f 11784/12836 11836/12890 11837/12891 11783/12837 +f 11783/12837 11837/12891 11838/12892 11787/12876 +f 11905/12893 11838/12892 11837/12891 11904/12817 +f 11820/12874 7456/12894 7457/12872 11818/12806 +f 7019/8120 7017/8362 11841/7561 11839/7558 +f 7017/8362 7018/8371 11842/7563 11841/7561 +f 7041/7586 7042/7580 11844/7577 11843/7576 +f 7014/7560 7036/7578 11844/7577 11840/7557 +f 7034/12867 11849/7584 11843/7576 7035/7579 +f 7018/8371 7679/8435 11854/8036 11842/7563 +f 7039/12849 11845/8195 11846/8198 7038/12850 +f 7038/12850 11846/8198 11847/8200 7037/12852 +f 11708/12861 11855/8205 11845/8195 7039/12849 +f 7037/12852 11847/8200 11849/7584 7034/12867 +f 7456/12894 11850/8215 11851/8216 7457/12872 +f 7457/12872 11851/8216 11852/8239 7613/12871 +f 7680/8408 984/1152 5244/1110 11853/8368 +f 7679/8435 7680/8408 11853/8368 11854/8036 +f 7040/12870 7613/12871 11852/8239 11848/8835 +f 7040/12870 11848/8835 11855/8205 11708/12861 +f 11850/8215 7458/8267 7596/8054 7597/8053 +f 11835/12889 11834/12882 11901/8425 11902/8424 +f 6921/7470 11700/7472 11748/8420 11857/12753 +f 11700/7472 6922/12768 11856/8421 11748/8420 +f 11679/12737 11909/12751 11912/12754 11702/12748 +f 6904/7463 6990/12742 11706/12741 6908/7460 +f 11767/12816 11766/12895 11768/12873 11769/12805 +f 7603/12798 11764/12888 11755/12887 11756/12799 +f 11762/7670 11859/12884 6961/12789 11684/7667 +f 11760/12794 11759/12793 11770/12821 11764/12888 +f 11770/12821 11759/12793 11758/12792 11771/12822 +f 11860/12883 6940/12788 6961/12789 11859/12884 +f 6940/12788 11860/12883 11862/12846 11861/12896 +f 11771/12822 11758/12792 11757/12791 11778/12827 +f 11778/12827 11757/12791 10368/12790 11777/12881 +f 11704/7601 6974/7608 6940/12788 11861/12896 +f 11777/12881 10368/12790 7600/12787 11776/12878 +f 11861/12896 11862/12846 11864/12845 11863/12897 +f 7601/12786 11775/12879 11776/12878 7600/12787 +f 11704/7601 11861/12896 11863/12897 6978/7600 +f 11865/12898 6975/7599 6978/7600 11863/12897 +f 6941/12745 6976/7606 6975/7599 11865/12898 +f 11865/12898 11863/12897 11864/12845 11866/12824 +f 11866/12824 11681/12746 6941/12745 11865/12898 +f 7455/12785 11774/12880 11775/12879 7601/12786 +f 7451/12783 11773/12877 11774/12880 7455/12785 +f 11773/12877 7451/12783 7454/8419 11772/12778 +f 11926/12797 11935/12899 11867/12795 7603/12798 +f 10413/11513 11869/11512 11870/11511 10412/11510 +f 12144/8309 11875/12900 5267/12901 5545/12902 +f 11890/12903 11891/8304 11875/12900 11876/12904 +f 11889/8315 11890/12903 11876/12904 11877/12905 +f 12149/12906 11878/12907 11877/12905 12146/8312 +f 12152/12908 11879/12909 11878/12907 12149/12906 +f 12155/12910 11880/12911 11879/12909 12152/12908 +f 12159/12912 11881/12913 11880/12911 12155/12910 +f 12156/8401 11882/12914 11881/12913 12159/12912 +f 11885/8384 11882/12914 11883/12915 11884/12916 +f 11878/12907 11888/8314 11889/8315 11877/12905 +f 11875/12900 11891/8304 5285/8307 5267/12901 +f 11881/12913 11892/8318 11886/8317 11880/12911 +f 11882/12914 11885/8384 11892/8318 11881/12913 +f 7735/8320 7716/8305 11891/8304 11890/12903 +f 11879/12909 11887/8316 11888/8314 11878/12907 +f 11880/12911 11886/8317 11887/8316 11879/12909 +f 7593/8223 7735/8320 11890/12903 11889/8315 +f 7697/8303 11885/8384 11884/12916 7636/8383 +f 11867/12795 11760/12794 11764/12888 7603/12798 +f 11895/12917 11896/12918 11894/12919 11893/12920 +f 11829/12820 11786/12875 11895/12917 11755/12887 +f 11893/12920 11756/12799 11755/12887 11895/12917 +f 11927/12796 11756/12799 11893/12920 11937/12921 +f 11895/12917 11786/12875 11897/12922 11896/12918 +f 11897/12922 11786/12875 11787/12876 11838/12892 +f 11834/12882 11833/12839 11900/8426 11901/8425 +f 11833/12839 11832/12838 11899/8427 11900/8426 +f 11832/12838 11831/12818 11898/8428 11899/8427 +f 11836/12890 11835/12889 11902/8424 11903/11426 +f 11836/12890 11903/11426 11904/12817 11837/12891 +f 7458/8267 11905/12893 11904/12817 7618/8266 +f 11766/12895 11908/12923 11907/12924 11768/12873 +f 11910/12925 11682/12926 11749/12927 11911/12928 +f 11905/12893 11906/12929 11897/12922 11838/12892 +f 11911/12928 11749/12927 6969/12930 11678/12736 +f 11905/12893 7456/12894 11820/12874 11906/12929 +f 11668/12885 11765/12886 11910/12925 11911/12928 +f 11678/12736 11677/12739 11668/12885 11911/12928 +f 11906/12929 11820/12874 11768/12873 11907/12924 +f 7458/8267 11850/8215 7456/12894 11905/12893 +f 11896/12918 11897/12922 11906/12929 11907/12924 +f 11857/12753 11748/8420 11913/8423 11912/12754 +f 11907/12924 11908/12923 11894/12919 11896/12918 +f 11682/12926 11683/12859 6995/8224 11749/12927 +f 6989/8227 6969/12930 11749/12927 6995/8224 +f 6969/12930 6989/8227 7608/8235 7611/12931 +f 7611/12931 7608/8235 6960/8230 6968/12932 +f 6917/7474 6918/12933 6968/12932 6960/8230 +f 6918/12933 6917/7474 6861/7477 6862/12934 +f 11504/7406 11503/12935 6862/12934 6861/7477 +f 11503/12935 11504/7406 6823/7357 6824/12936 +f 6822/7356 6825/12937 6824/12936 6823/7357 +f 11478/7360 11479/12938 6825/12937 6822/7356 +f 11796/12812 11793/12814 11816/12842 11815/12860 +f 11796/12812 11815/12860 11813/12848 11799/12809 +f 11799/12809 11813/12848 11814/12851 11802/12808 +f 11807/12853 7442/12803 11802/12808 11814/12851 +f 11810/12868 7441/12802 7442/12803 11807/12853 +f 11811/12869 7443/12801 7441/12802 11810/12868 +f 11812/7583 7444/12800 7443/12801 11811/12869 +f 8034/8805 8031/8804 8004/8756 8001/8773 +f 7993/8753 7994/8832 7968/12939 7967/8734 +f 7967/8734 7968/12939 7942/12940 7941/8719 +f 7916/12941 7915/8682 7941/8719 7942/12940 +f 7891/12942 7890/8653 7915/8682 7916/12941 +f 7890/8653 7891/12942 7865/12943 7864/8643 +f 7864/8643 7865/12943 7839/12944 7838/8602 +f 7838/8602 7839/12944 7813/12945 7812/8545 +f 7812/8545 7813/12945 7787/12946 7786/8546 +f 7786/8491 7787/12947 7761/12948 7760/8492 +f 13373/12949 13374/8473 7760/8492 7761/12948 +f 11479/12938 11478/7360 6821/8474 6826/12950 +f 7444/12800 11812/7583 11804/7582 7440/12776 +f 11809/12866 7439/12770 7440/12776 11804/7582 +f 11803/12865 7438/12758 7439/12770 11809/12866 +f 11808/12864 7437/12757 7438/12758 11803/12865 +f 7437/12757 11808/12864 11806/12863 7015/12756 +f 7015/12756 11806/12863 11805/12862 7016/12755 +f 7010/7556 11925/11523 5321/4290 238/247 +f 7986/8772 8002/8767 8033/8796 11738/8791 +f 7994/8832 7995/8770 7969/8749 7968/12939 +f 7980/8730 7972/12774 7998/12775 8006/8775 +f 7611/12931 11858/12772 11678/12736 6969/12930 +f 11858/12772 7611/12931 6968/12932 11830/12779 +f 6918/12933 6919/7469 11830/12779 6968/12932 +f 6919/7469 6918/12933 6862/12934 6863/7412 +f 11856/8421 6897/7455 6902/7454 7612/8422 +f 6922/12768 6892/7444 6897/7455 11856/8421 +f 6866/12769 6884/7445 6892/7444 6922/12768 +f 11921/8809 8018/8797 8033/8796 11740/8810 +f 11923/8808 8020/8803 8017/8802 11921/8809 +f 11921/8809 8017/8802 8016/8787 8018/8797 +f 8018/8797 8016/8787 11920/8786 11919/8788 +f 11919/8788 11920/8786 8023/8831 11918/8789 +f 11918/8789 8023/8831 8019/8830 8015/8806 +f 11922/8826 11917/8821 8015/8806 8019/8830 +f 11917/8821 11922/8826 8021/8818 11916/8824 +f 8022/8813 8012/8782 11916/8824 8021/8818 +f 8014/8812 8024/8783 8012/8782 8022/8813 +f 8025/8822 11914/8776 8024/8783 8014/8812 +f 11914/8776 8025/8822 8013/8816 8008/8777 +f 8008/8777 8013/8816 11915/8798 8009/8800 +f 8011/8795 8010/8794 8009/8800 11915/8798 +f 7968/12939 7969/8749 7943/8705 7942/12940 +f 7917/8683 7916/12941 7942/12940 7943/8705 +f 7916/12941 7917/8683 7892/8650 7891/12942 +f 7866/8641 7865/12943 7891/12942 7892/8650 +f 7865/12943 7866/8641 7840/8599 7839/12944 +f 7839/12944 7840/8599 7814/8540 7813/12945 +f 7788/8543 7787/12946 7813/12945 7814/8540 +f 7762/8489 7761/12948 7787/12947 7788/8486 +f 13371/8469 13373/12949 7761/12948 7762/8489 +f 11480/7365 11479/12938 6826/12950 6829/8470 +f 11479/12938 11480/7365 6828/7364 6825/12937 +f 6825/12937 6828/7364 6827/7367 6824/12936 +f 11505/7413 11503/12935 6824/12936 6827/7367 +f 11503/12935 11505/7413 6863/7412 6862/12934 +f 11507/12767 11492/7433 6884/7445 6866/12769 +f 11492/7433 11507/12767 6836/12766 6859/7402 +f 6837/12765 6858/7403 6859/7402 6836/12766 +f 11483/12764 11490/7404 6858/7403 6837/12765 +f 11490/7404 11483/12764 6838/8462 6857/7405 +f 13362/8453 13363/8461 7765/8515 7772/8535 +f 7791/8514 7798/8534 7772/8535 7765/8515 +f 7817/8569 7824/8588 7798/8589 7791/8570 +f 7824/8588 7817/8569 7843/8612 7850/8597 +f 7869/8629 7876/8640 7850/8597 7843/8612 +f 7876/8640 7869/8629 7895/8664 7902/8646 +f 7902/8646 7895/8664 7920/8694 7928/8677 +f 7946/12773 7954/8721 7928/8677 7920/8694 +f 7954/8721 7946/12773 7972/12774 7980/8730 +f 11766/12895 11767/12816 11929/12840 11928/12951 +f 11893/12920 11894/12919 11936/12952 11937/12921 +f 11908/12923 11938/12953 11936/12952 11894/12919 +f 11908/12923 11766/12895 11928/12951 11938/12953 +f 11935/12899 7133/12954 7137/12763 11867/12795 +f 7135/12955 7138/7686 7137/12763 7133/12954 +f 7136/12956 7172/7724 7169/7720 7124/7687 +f 7211/7772 7118/7771 7119/7697 7215/7696 +f 7140/8041 7130/7763 7123/7766 7141/8042 +f 11947/7722 7118/7771 7117/7774 11948/7783 +f 7216/7773 7170/7812 11939/12957 7117/7774 +f 11944/7790 7136/12956 7135/12955 11945/12958 +f 7242/7831 11941/7827 11940/7830 7236/7818 +f 7167/7691 7236/7818 11940/7830 7131/7692 +f 10371/11432 7165/7694 7134/7695 11942/11430 +f 10406/11469 7163/7764 7130/7763 11943/11470 +f 7164/7765 10371/11432 11942/11430 7123/7766 +f 7168/7721 10406/11469 11943/11470 7129/7688 +f 7135/12955 7136/12956 7124/7687 7138/7686 +f 7178/7731 7210/7781 7226/12959 7180/7733 +f 7247/7730 7254/7782 7210/7781 7178/7731 +f 7254/7782 7247/7730 7176/7727 7209/7777 +f 7174/7725 7208/7778 7209/7777 7176/7727 +f 7172/7724 7171/7789 7208/7778 7174/7725 +f 7136/12956 11944/7790 7171/7789 7172/7724 +f 11935/12899 11751/12760 11752/12761 7133/12954 +f 7135/12955 7133/12954 11752/12761 11945/12958 +f 11751/12760 11935/12899 11926/12797 11691/12784 +f 11691/12784 11926/12797 11927/12796 11685/7668 +f 11685/7668 11927/12796 11937/12921 11763/7669 +f 11763/7669 11937/12921 11936/12952 11765/12886 +f 11765/12886 11936/12952 11938/12953 11910/12925 +f 11928/12951 11682/12926 11910/12925 11938/12953 +f 11682/12926 11928/12951 11929/12840 11683/12859 +f 363/400 7119/7697 11946/7698 5343/403 +f 7118/7771 11947/7722 11946/7698 7119/7697 +f 7117/7774 11939/12957 11949/7784 11948/7783 +f 11690/7723 11947/7722 11948/7783 11753/7786 +f 7226/12959 11965/7807 11963/7840 7264/12960 +f 7255/7794 7214/7793 11956/7780 11964/7779 +f 11966/12961 11949/7784 11939/12957 11967/7787 +f 7213/7797 7255/7794 11964/7779 11955/7776 +f 7170/7812 7212/7798 11954/7775 11957/7788 +f 11939/12957 7170/7812 11957/7788 11967/7787 +f 7212/7798 7213/7797 11955/7776 11954/7775 +f 7226/12959 7210/7781 11956/7780 11965/7807 +f 7264/12960 11963/7840 11962/7859 7279/12962 +f 7279/12963 11962/7869 11953/7872 7294/12964 +f 7294/12964 11953/7872 11952/7899 7309/12965 +f 7309/12965 11952/7899 11951/7917 7324/12966 +f 7324/12966 11951/7917 11950/7941 7339/12967 +f 7339/12967 11950/7941 11961/7948 7354/12968 +f 7354/12968 11961/7948 11960/7966 7369/12969 +f 7369/12969 11960/7966 11959/7983 7384/12970 +f 7384/12970 11959/7983 11958/7993 7399/12971 +f 7399/12971 11958/7993 11969/8014 7414/8024 +f 7414/8024 11969/8014 11968/8033 7429/8025 +f 11945/12958 11966/12961 11967/7787 11944/7790 +f 11752/12761 7120/7666 7122/7637 11750/12759 +f 11752/12761 11750/12759 11966/12961 11945/12958 +f 11949/7784 11966/12961 11750/12759 11689/7785 +f 7426/8017 7420/8035 11968/12972 7432/8019 +f 7432/8019 11968/12972 7428/12973 7431/8018 +f 7428/8032 7427/8031 7434/8030 7433/8029 +f 7431/8018 7428/12973 7433/12974 7430/8020 +f 7430/8020 7433/12974 708/5770 711/752 +f 7391/7998 7399/12971 7414/8024 7406/8005 +f 7399/12971 7391/7998 7376/7987 7384/12970 +f 7384/12970 7376/7987 7361/7970 7369/12969 +f 7369/12969 7361/7970 7346/7953 7354/12968 +f 7354/12968 7346/7953 7331/7926 7339/12967 +f 7316/7921 7324/12966 7339/12967 7331/7926 +f 7324/12966 7316/7921 7301/7903 7309/12965 +f 7309/12965 7301/7903 7286/7882 7294/12964 +f 7294/12964 7286/7882 7271/7881 7279/12963 +f 7279/12962 7271/7860 7182/7735 7264/12960 +f 7180/7733 7226/12959 7264/12960 7182/7735 +f 11930/12841 11788/12858 11683/12859 11929/12840 +f 11931/12843 11791/12857 11788/12858 11930/12841 +f 11932/12844 11794/12856 11791/12857 11931/12843 +f 11933/12847 11797/12855 11794/12856 11932/12844 +f 11934/12782 11800/12854 11797/12855 11933/12847 +f 11873/11504 7033/7575 11800/12854 11934/12782 +f 7033/7575 11873/11504 11872/11507 7030/7574 +f 7030/7574 11872/11507 11871/11509 7031/7572 +f 7031/7572 11871/11509 11870/11511 7032/7573 +f 11869/11512 7006/7553 7032/7573 11870/11511 +f 7006/7553 11869/11512 11868/11515 7005/7554 +f 7005/7554 11868/11515 7599/11517 7003/7551 +f 7003/7551 7599/11517 11924/11519 7004/7552 +f 7004/7552 11924/11519 11874/11521 7009/7555 +f 7009/7555 11874/11521 11925/11523 7010/7556 +f 7659/8300 7660/8347 11975/8348 11976/8301 +f 7657/8341 7658/8299 11979/8302 11980/8351 +f 7715/8345 963/8344 5380/8353 11982/8352 +f 7656/8336 7657/8341 11980/8351 11977/8350 +f 7655/8388 7701/8337 11981/8349 11978/8389 +f 7739/8417 7715/8345 11982/8352 11983/8412 +f 7660/8347 7739/8417 11983/8412 11975/8348 +f 7579/8291 11974/12975 11978/8389 7661/8289 +f 11978/8389 11974/12975 7580/8434 7655/8388 +f 7698/8402 7638/8207 7644/8210 7699/8332 +f 7637/8403 7698/8402 7699/8332 7643/8385 +f 12151/8374 7043/8364 11994/12976 12160/12977 +f 11997/12978 11996/12979 7684/8376 7706/8392 +f 7683/8202 7684/8376 11996/12979 11995/12980 +f 11995/12980 11996/12979 12000/12981 11999/12982 +f 12160/12977 11994/12976 11998/12983 12161/12984 +f 12001/12985 12000/12981 11996/12979 11997/12978 +f 11999/12982 12000/12981 12004/12986 12003/12987 +f 12161/12984 11998/12983 12002/12988 12162/12989 +f 12005/12990 12004/12986 12000/12981 12001/12985 +f 11884/12916 11883/12915 12009/12991 12010/12992 +f 12157/8404 7637/8403 12008/12993 12163/12994 +f 7587/8382 7636/8383 12007/12995 12006/12996 +f 12010/12992 12007/12995 7636/8383 11884/12916 +f 7587/8382 12006/12996 7635/8836 7459/8381 +f 7581/8432 12008/12993 7637/8403 7643/8385 +f 7576/8199 12002/12988 11998/12983 7577/7585 +f 11994/12976 7041/7586 7577/7585 11998/12983 +f 12003/12987 7578/12997 7676/12998 11999/12982 +f 7683/8202 11995/12980 7703/12999 7675/8203 +f 7703/12999 11995/12980 11999/12982 7676/12998 +f 7041/7586 11994/12976 7043/8364 7042/7580 +f 7573/8197 12011/13000 12002/12988 7576/8199 +f 7565/8294 12011/13000 7573/8197 7574/8196 +f 12356/13001 12346/13002 7579/8291 7571/8292 +f 12345/13003 12347/13004 7581/8432 7582/8431 +f 12357/13005 12348/13006 7565/8294 11713/8293 +f 12328/13007 12327/13008 12022/13009 12017/13010 +f 12359/13011 12350/13012 7572/8297 7635/8836 +f 12360/13013 12351/13014 12007/12995 12010/12992 +f 12334/13015 12333/13016 12033/13017 12024/13018 +f 12332/13019 12335/13020 12031/13021 12032/13022 +f 12363/13023 12353/13024 12004/12986 12005/12990 +f 12348/13006 12361/13025 12011/13000 7565/8294 +f 12340/13026 12339/13027 12025/13028 12015/13029 +f 12330/13030 12341/13031 12028/13032 12020/13033 +f 12339/13027 12336/13034 12026/13035 12025/13028 +f 12347/13004 12355/13036 12008/12993 7581/8432 +f 12341/13031 12331/13037 12029/13038 12028/13032 +f 12343/13039 12334/13015 12024/13018 12164/13040 +f 12338/13041 12328/13007 12017/13010 12023/13042 +f 12346/13002 12358/13043 11974/12975 7579/8291 +f 12326/13044 12329/13045 12014/13046 12021/13047 +f 12344/13048 12342/13049 12030/13050 12165/13051 +f 12049/13052 12048/13053 12026/13035 12027/13054 +f 12042/13055 12036/13056 12014/13046 12020/13033 +f 12034/13057 12055/13058 12033/13017 12012/13059 +f 12032/13022 12031/13021 12053/13060 12054/13061 +f 12025/13028 12026/13035 12048/13053 12047/13062 +f 12043/13063 12034/13057 12012/13059 12021/13047 +f 12023/13042 12017/13010 12039/13064 12045/13065 +f 12020/13033 12028/13032 12050/13066 12042/13055 +f 12164/13040 12024/13018 12046/13067 12166/13068 +f 12038/13069 12044/13070 12022/13009 12016/13071 +f 12041/13072 12040/13073 12018/13074 12019/13075 +f 12040/13073 12052/13076 12030/13050 12018/13074 +f 12028/13032 12029/13038 12051/13077 12050/13066 +f 12017/13010 12022/13009 12044/13070 12039/13064 +f 12021/13047 12014/13046 12036/13056 12043/13063 +f 12015/13029 12025/13028 12047/13062 12037/13078 +f 12165/13051 12030/13050 12052/13076 12167/13079 +f 12035/13080 12038/13069 12016/13071 12013/13081 +f 12024/13018 12033/13017 12055/13058 12046/13067 +f 12054/13061 12051/13077 12029/13038 12032/13022 +f 12037/13078 12047/13062 12069/13082 12059/13083 +f 12167/13079 12052/13076 12074/13084 12169/13085 +f 12057/13086 12060/13087 12038/13069 12035/13080 +f 12046/13067 12055/13058 12077/13088 12068/13089 +f 12076/13090 12073/13091 12051/13077 12054/13061 +f 12071/13092 12070/13093 12048/13053 12049/13052 +f 12064/13094 12058/13095 12036/13056 12042/13055 +f 12056/13096 12077/13088 12055/13058 12034/13057 +f 12054/13061 12053/13060 12075/13097 12076/13090 +f 12047/13062 12048/13053 12070/13093 12069/13082 +f 12065/13098 12056/13096 12034/13057 12043/13063 +f 12045/13065 12039/13064 12061/13099 12067/13100 +f 12042/13055 12050/13066 12072/13101 12064/13094 +f 12166/13068 12046/13067 12068/13089 12168/13102 +f 12060/13087 12066/13103 12044/13070 12038/13069 +f 12063/13104 12062/13105 12040/13073 12041/13072 +f 12062/13105 12074/13084 12052/13076 12040/13073 +f 12050/13066 12051/13077 12073/13091 12072/13101 +f 12039/13064 12044/13070 12066/13103 12061/13099 +f 12043/13063 12036/13056 12058/13095 12065/13098 +f 12236/13106 12259/13107 12090/13108 12170/13109 +f 12265/13110 12256/13111 12095/13112 12094/13113 +f 12264/13114 12212/13115 12088/13116 12083/13117 +f 12271/13118 12253/13119 12080/13120 12087/13121 +f 12270/13122 12252/13123 12091/13124 12081/13125 +f 12235/13126 12266/13127 12096/13128 12171/13129 +f 12259/13107 12208/13130 12099/13131 12090/13108 +f 12207/13132 12269/13133 12097/13134 12098/13135 +f 12252/13123 12268/13136 12092/13137 12091/13124 +f 12251/13138 12264/13114 12083/13117 12089/13139 +f 12215/13140 12265/13110 12094/13113 12086/13141 +f 12307/13142 12297/13143 12099/13131 12078/13144 +f 12310/13145 12307/13142 12078/13144 12087/13121 +f 12314/13146 12303/13147 12088/13116 12082/13148 +f 12315/13149 12304/13150 12084/13151 12085/13152 +f 12304/13150 12305/13153 12096/13128 12084/13151 +f 12318/13154 12314/13146 12082/13148 12079/13155 +f 12298/13156 12316/13157 12095/13112 12098/13135 +f 12302/13158 12309/13159 12092/13137 12093/13160 +f 12301/13161 12317/13162 12080/13120 12086/13141 +f 12139/13163 12131/13164 12217/13165 12238/13166 +f 12125/13167 12135/13168 12211/13169 12122/13170 +f 12206/13171 12219/13172 12137/13173 12143/13174 +f 12238/13166 12248/13175 12175/13176 12139/13163 +f 12123/13177 12227/13178 12128/13179 12124/13180 +f 12136/13181 12142/13182 12243/13183 12218/13184 +f 12242/13185 12228/13186 12129/13187 12141/13188 +f 12131/13164 12130/13189 12216/13190 12217/13165 +f 12142/13182 12137/13173 12219/13172 12243/13183 +f 12237/13191 12222/13192 12177/13193 12138/13194 +f 12239/13195 12242/13185 12141/13188 12140/13196 +f 12174/13197 12134/13198 12210/13199 12247/13200 +f 12124/13180 12129/13187 12228/13186 12123/13177 +f 12141/13188 12129/13187 12118/13201 12106/13202 +f 12140/13196 12141/13188 12106/13202 12107/13203 +f 12143/13174 12137/13173 12110/13204 12104/13205 +f 12172/13206 12112/13207 12135/13168 12125/13167 +f 12125/13167 12132/13208 12115/13209 12172/13206 +f 12108/13210 12116/13211 12131/13164 12139/13163 +f 12111/13212 12105/13213 12142/13182 12136/13181 +f 12138/13194 12177/13193 12100/13214 12109/13215 +f 12113/13216 12114/13217 12133/13218 12134/13198 +f 12120/13219 12119/13220 12128/13179 12127/13221 +f 12177/13193 12126/13222 12121/13223 12100/13214 +f 12139/13163 12175/13176 12102/13224 12108/13210 +f 12132/13208 12133/13218 12114/13217 12115/13209 +f 12127/13221 12130/13189 12117/13225 12120/13219 +f 12112/13207 12121/13223 12126/13222 12135/13168 +f 12176/13226 12143/13174 12104/13205 12101/13227 +f 12173/13228 12118/13201 12129/13187 12124/13180 +f 12103/13229 12113/13216 12134/13198 12174/13197 +f 12270/13122 12059/13083 12069/13082 12252/13123 +f 12252/13123 12069/13082 12070/13093 12268/13136 +f 12071/13092 12213/13230 12268/13136 12070/13093 +f 12168/13102 12236/13106 12213/13230 12071/13092 +f 12236/13106 12168/13102 12068/13089 12259/13107 +f 12259/13107 12068/13089 12077/13088 12208/13130 +f 12056/13096 12214/13231 12208/13130 12077/13088 +f 11876/12904 11875/12900 12144/8309 12145/8308 +f 11877/12905 11876/12904 12145/8308 12146/8312 +f 7705/8391 7704/8390 12147/8373 12150/8372 +f 7705/8391 12150/8372 12151/8374 7706/8392 +f 7704/8390 7707/8394 12148/8379 12147/8373 +f 7713/8413 1014/1158 5555/1139 12154/8395 +f 11882/12914 12156/8401 12157/8404 11883/12915 +f 7677/8361 12148/8379 12153/8418 7678/8370 +f 7708/8396 7001/8436 12158/8437 12154/8395 +f 7001/8436 7678/8370 12153/8418 12158/8437 +f 7721/8310 12144/8309 5545/12902 942/8393 +f 7641/8367 12149/12906 12146/8312 7642/8313 +f 7640/8213 12152/12908 12149/12906 7641/8367 +f 7639/8208 12155/12910 12152/12908 7640/8213 +f 7638/8207 12159/12912 12155/12910 7639/8208 +f 7698/8402 12156/8401 12159/12912 7638/8207 +f 7706/8392 12151/8374 12160/12977 11997/12978 +f 11997/12978 12160/12977 12161/12984 12001/12985 +f 12001/12985 12161/12984 12162/12989 12005/12990 +f 11883/12915 12157/8404 12163/12994 12009/12991 +f 12337/13232 12343/13039 12164/13040 12027/13054 +f 12335/13020 12344/13048 12165/13051 12031/13021 +f 12027/13054 12164/13040 12166/13068 12049/13052 +f 12031/13021 12165/13051 12167/13079 12053/13060 +f 12053/13060 12167/13079 12169/13085 12075/13097 +f 12049/13052 12166/13068 12168/13102 12071/13092 +f 12213/13230 12236/13106 12170/13109 12093/13160 +f 12269/13133 12235/13126 12171/13129 12097/13134 +f 12109/13215 12102/13224 12175/13176 12138/13194 +f 12105/13213 12110/13204 12137/13173 12142/13182 +f 12116/13211 12117/13225 12130/13189 12131/13164 +f 12124/13180 12128/13179 12119/13220 12173/13228 +f 12065/13098 12271/13118 12214/13231 12056/13096 +f 12271/13118 12065/13098 12058/13095 12253/13119 +f 12298/13156 12308/13233 12181/13234 12182/13235 +f 12299/13236 12309/13159 12183/13237 12184/13238 +f 12300/13239 12311/13240 12186/13241 12187/13242 +f 12301/13161 12312/13243 12188/13244 12189/13245 +f 12319/13246 12313/13247 12190/13248 12200/13249 +f 12312/13243 12316/13157 12197/13250 12188/13244 +f 12311/13240 12303/13147 12192/13251 12186/13241 +f 12310/13145 12317/13162 12198/13252 12185/13253 +f 12306/13254 12299/13236 12184/13238 12178/13255 +f 12320/13256 12305/13153 12196/13257 12201/13258 +f 12313/13247 12297/13143 12179/13259 12190/13248 +f 12302/13158 12319/13246 12200/13249 12191/13260 +f 12308/13233 12320/13256 12201/13258 12181/13234 +f 12086/13141 12080/13120 12253/13119 12215/13140 +f 12064/13094 12215/13140 12253/13119 12058/13095 +f 12215/13140 12064/13094 12072/13101 12265/13110 +f 12265/13110 12072/13101 12073/13091 12256/13111 +f 12076/13090 12207/13132 12256/13111 12073/13091 +f 12207/13132 12076/13090 12075/13097 12269/13133 +f 12084/13151 12096/13128 12266/13127 12267/13261 +f 12169/13085 12235/13126 12269/13133 12075/13097 +f 12134/13198 12133/13218 12230/13262 12210/13199 +f 12222/13192 12225/13263 12126/13222 12177/13193 +f 12098/13135 12095/13112 12256/13111 12207/13132 +f 12221/13264 12206/13171 12143/13174 12176/13226 +f 12087/13121 12078/13144 12214/13231 12271/13118 +f 12085/13152 12084/13151 12267/13261 12257/13265 +f 12235/13126 12169/13085 12074/13084 12266/13127 +f 12082/13148 12088/13116 12212/13115 12258/13266 +f 12062/13105 12267/13261 12266/13127 12074/13084 +f 12093/13160 12092/13137 12268/13136 12213/13230 +f 12078/13144 12099/13131 12208/13130 12214/13231 +f 12063/13104 12257/13265 12267/13261 12062/13105 +f 12079/13155 12082/13148 12258/13266 12209/13267 +f 12251/13138 12067/13100 12061/13099 12264/13114 +f 12264/13114 12061/13099 12066/13103 12212/13115 +f 12060/13087 12258/13266 12212/13115 12066/13103 +f 12057/13086 12209/13267 12258/13266 12060/13087 +f 12127/13221 12128/13179 12227/13178 12226/13268 +f 12122/13170 12229/13269 12132/13208 12125/13167 +f 12229/13269 12230/13262 12133/13218 12132/13208 +f 12138/13194 12175/13176 12248/13175 12237/13191 +f 12229/13269 12204/13270 12205/13271 12230/13262 +f 12135/13168 12126/13222 12225/13263 12211/13169 +f 12122/13170 12245/13272 12204/13270 12229/13269 +f 12245/13272 12122/13170 12211/13169 12261/13273 +f 12261/13273 12211/13169 12225/13263 12203/13274 +f 12222/13192 12250/13275 12203/13274 12225/13263 +f 12237/13191 12240/13276 12250/13275 12222/13192 +f 12240/13276 12237/13191 12248/13175 12263/13277 +f 12238/13166 12241/13278 12263/13277 12248/13175 +f 12241/13278 12238/13166 12217/13165 12234/13279 +f 12234/13279 12217/13165 12216/13190 12233/13280 +f 12226/13268 12202/13281 12233/13280 12216/13190 +f 12226/13268 12216/13190 12130/13189 12127/13221 +f 12202/13281 12226/13268 12227/13178 12255/13282 +f 12123/13177 12246/13283 12255/13282 12227/13178 +f 12246/13283 12123/13177 12228/13186 12254/13284 +f 12242/13185 12223/13285 12254/13284 12228/13186 +f 12239/13195 12220/13286 12223/13285 12242/13185 +f 12231/13287 12218/13184 12243/13183 12224/13288 +f 12224/13288 12243/13183 12219/13172 12232/13289 +f 12206/13171 12244/13290 12232/13289 12219/13172 +f 12221/13264 12249/13291 12244/13290 12206/13171 +f 12262/13292 12247/13200 12210/13199 12260/13293 +f 12260/13293 12210/13199 12230/13262 12205/13271 +f 12293/13294 12246/13283 12254/13284 12294/13295 +f 12287/13296 12260/13293 12205/13271 12285/13297 +f 12101/13227 12199/13298 12178/13255 12103/13229 +f 12281/13299 12255/13282 12246/13283 12293/13294 +f 12282/13300 12202/13281 12255/13282 12281/13299 +f 12101/13227 12103/13229 12174/13197 12176/13226 +f 12286/13301 12273/13302 12274/13303 12285/13297 +f 12289/13304 12272/13305 12274/13303 12291/13306 +f 12262/13292 12249/13291 12221/13264 12247/13200 +f 12277/13307 12275/13308 12273/13302 12286/13301 +f 12288/13309 12276/13310 12275/13308 12277/13307 +f 12284/13311 12276/13310 12240/13276 12263/13277 +f 12275/13308 12283/13312 12290/13313 12273/13302 +f 12176/13226 12174/13197 12247/13200 12221/13264 +f 12273/13302 12290/13313 12291/13306 12274/13303 +f 12283/13312 12295/13314 12279/13315 12290/13313 +f 12272/13305 12287/13296 12285/13297 12274/13303 +f 12204/13270 12286/13301 12285/13297 12205/13271 +f 12245/13272 12277/13307 12286/13301 12204/13270 +f 12261/13273 12288/13309 12277/13307 12245/13272 +f 12279/13315 12293/13294 12294/13295 12278/13316 +f 12280/13317 12289/13304 12291/13306 12278/13316 +f 12276/13310 12284/13311 12283/13312 12275/13308 +f 12249/13291 12287/13296 12272/13305 12244/13290 +f 12244/13290 12272/13305 12289/13304 12232/13289 +f 12290/13313 12279/13315 12278/13316 12291/13306 +f 12288/13309 12261/13273 12203/13274 12250/13275 +f 12220/13286 12231/13287 12292/13318 12223/13285 +f 12280/13317 12224/13288 12232/13289 12289/13304 +f 12292/13318 12280/13317 12278/13316 12294/13295 +f 12284/13311 12296/13319 12295/13314 12283/13312 +f 12223/13285 12292/13318 12294/13295 12254/13284 +f 12296/13319 12282/13300 12281/13299 12295/13314 +f 12295/13314 12281/13299 12293/13294 12279/13315 +f 12296/13319 12284/13311 12263/13277 12241/13278 +f 12276/13310 12288/13309 12250/13275 12240/13276 +f 12202/13281 12282/13300 12234/13279 12233/13280 +f 12282/13300 12296/13319 12241/13278 12234/13279 +f 12180/13320 12179/13259 12297/13143 12307/13142 +f 12185/13253 12180/13320 12307/13142 12310/13145 +f 12193/13321 12192/13251 12303/13147 12314/13146 +f 12195/13322 12194/13323 12304/13150 12315/13149 +f 12194/13323 12196/13257 12305/13153 12304/13150 +f 12199/13298 12193/13321 12314/13146 12318/13154 +f 12182/13235 12197/13250 12316/13157 12298/13156 +f 12191/13260 12183/13237 12309/13159 12302/13158 +f 12189/13245 12198/13252 12317/13162 12301/13161 +f 12098/13135 12097/13134 12308/13233 12298/13156 +f 12091/13124 12092/13137 12309/13159 12299/13236 +f 12089/13139 12083/13117 12311/13240 12300/13239 +f 12086/13141 12094/13113 12312/13243 12301/13161 +f 12170/13109 12090/13108 12313/13247 12319/13246 +f 12094/13113 12095/13112 12316/13157 12312/13243 +f 12083/13117 12088/13116 12303/13147 12311/13240 +f 12087/13121 12080/13120 12317/13162 12310/13145 +f 12081/13125 12091/13124 12299/13236 12306/13254 +f 12171/13129 12096/13128 12305/13153 12320/13256 +f 12090/13108 12099/13131 12297/13143 12313/13247 +f 12093/13160 12170/13109 12319/13246 12302/13158 +f 12097/13134 12171/13129 12320/13256 12308/13233 +f 12191/13260 12115/13209 12114/13217 12183/13237 +f 12200/13249 12172/13206 12115/13209 12191/13260 +f 12172/13206 12200/13249 12190/13248 12112/13207 +f 12112/13207 12190/13248 12179/13259 12121/13223 +f 12180/13320 12100/13214 12121/13223 12179/13259 +f 12185/13253 12109/13215 12100/13214 12180/13320 +f 12109/13215 12185/13253 12198/13252 12102/13224 +f 12189/13245 12108/13210 12102/13224 12198/13252 +f 12108/13210 12189/13245 12188/13244 12116/13211 +f 12116/13211 12188/13244 12197/13250 12117/13225 +f 12182/13235 12120/13219 12117/13225 12197/13250 +f 12120/13219 12182/13235 12181/13234 12119/13220 +f 12201/13258 12173/13228 12119/13220 12181/13234 +f 12173/13228 12201/13258 12196/13257 12118/13201 +f 12194/13323 12106/13202 12118/13201 12196/13257 +f 12195/13322 12107/13203 12106/13202 12194/13323 +f 12111/13212 12187/13242 12186/13241 12105/13213 +f 12105/13213 12186/13241 12192/13251 12110/13204 +f 12193/13321 12104/13205 12110/13204 12192/13251 +f 12199/13298 12101/13227 12104/13205 12193/13321 +f 12103/13229 12178/13255 12184/13238 12113/13216 +f 12113/13216 12184/13238 12183/13237 12114/13217 +f 12013/13081 12016/13071 12322/13324 12323/13325 +f 12019/13075 12018/13074 12324/13326 12321/13327 +f 12021/13047 12012/13059 12325/13328 12326/13044 +f 12349/13329 12358/13043 12327/13008 12328/13007 +f 12020/13033 12014/13046 12329/13045 12330/13030 +f 12032/13022 12029/13038 12331/13037 12332/13019 +f 12057/13086 12059/13083 12270/13122 12209/13267 +f 12352/13330 12361/13025 12333/13016 12334/13015 +f 12360/13013 12362/13331 12335/13020 12332/13019 +f 12027/13054 12026/13035 12336/13034 12337/13232 +f 12012/13059 12033/13017 12333/13016 12325/13328 +f 12354/13332 12365/13333 12339/13027 12340/13026 +f 12359/13011 12366/13334 12341/13031 12330/13030 +f 12365/13333 12353/13024 12336/13034 12339/13027 +f 12209/13267 12270/13122 12081/13125 12079/13155 +f 12018/13074 12030/13050 12342/13049 12324/13326 +f 12366/13334 12351/13014 12331/13037 12341/13031 +f 12367/13335 12352/13330 12334/13015 12343/13039 +f 12364/13336 12349/13329 12328/13007 12338/13041 +f 12016/13071 12022/13009 12327/13008 12322/13324 +f 12357/13005 12350/13012 12329/13045 12326/13044 +f 12368/13337 12355/13036 12342/13049 12344/13048 +f 12363/13023 12367/13335 12343/13039 12337/13232 +f 12362/13331 12368/13337 12344/13048 12335/13020 +f 12323/13325 12322/13324 12346/13002 12356/13001 +f 12321/13327 12324/13326 12347/13004 12345/13003 +f 12326/13044 12325/13328 12348/13006 12357/13005 +f 12330/13030 12329/13045 12350/13012 12359/13011 +f 12332/13019 12331/13037 12351/13014 12360/13013 +f 12337/13232 12336/13034 12353/13024 12363/13023 +f 12325/13328 12333/13016 12361/13025 12348/13006 +f 12324/13326 12342/13049 12355/13036 12347/13004 +f 12322/13324 12327/13008 12358/13043 12346/13002 +f 12231/13287 12220/13286 12239/13195 12218/13184 +f 7580/8434 11974/12975 12358/13043 12349/13329 +f 12306/13254 12318/13154 12079/13155 12081/13125 +f 12002/12988 12011/13000 12361/13025 12352/13330 +f 12010/12992 12009/12991 12362/13331 12360/13013 +f 7578/12997 12003/12987 12365/13333 12354/13332 +f 7635/8836 12006/12996 12366/13334 12359/13011 +f 12003/12987 12004/12986 12353/13024 12365/13333 +f 12306/13254 12178/13255 12199/13298 12318/13154 +f 12006/12996 12007/12995 12351/13014 12366/13334 +f 12162/12989 12002/12988 12352/13330 12367/13335 +f 11984/8433 7580/8434 12349/13329 12364/13336 +f 11713/8293 7572/8297 12350/13012 12357/13005 +f 12163/12994 12008/12993 12355/13036 12368/13337 +f 12005/12990 12162/12989 12367/13335 12363/13023 +f 12009/12991 12163/12994 12368/13337 12362/13331 +f 12292/13318 12231/13287 12224/13288 12280/13317 +f 12249/13291 12262/13292 12260/13293 12287/13296 +f 12140/13196 12136/13181 12218/13184 12239/13195 +f 12107/13203 12111/13212 12136/13181 12140/13196 +f 12111/13212 12107/13203 12195/13322 12187/13242 +f 12315/13149 12300/13239 12187/13242 12195/13322 +f 12300/13239 12315/13149 12085/13152 12089/13139 +f 12257/13265 12251/13138 12089/13139 12085/13152 +f 12063/13104 12067/13100 12251/13138 12257/13265 +f 12041/13072 12045/13065 12067/13100 12063/13104 +f 12045/13065 12041/13072 12019/13075 12023/13042 +f 12321/13327 12338/13041 12023/13042 12019/13075 +f 12345/13003 12364/13336 12338/13041 12321/13327 +f 12364/13336 12345/13003 7582/8431 11984/8433 +f 11984/8433 7582/8431 7649/8386 11986/8387 +f 7700/8333 11991/8334 11986/8387 7649/8386 +f 11991/8334 7700/8333 7650/8327 11985/8335 +f 11985/8335 7650/8327 7651/8322 11989/8340 +f 12059/13083 12057/13086 12035/13080 12037/13078 +f 12013/13081 12015/13029 12037/13078 12035/13080 +f 12323/13325 12340/13026 12015/13029 12013/13081 +f 12356/13001 12354/13332 12340/13026 12323/13325 +f 12354/13332 12356/13001 7571/8292 7578/12997 +f 7566/8290 7676/12998 7578/12997 7571/8292 +f 11971/8192 7703/12999 7676/12998 7566/8290 +f 7569/8191 7675/8203 7703/12999 11971/8192 +f 7570/8194 7674/8204 7675/8203 7569/8191 +f 11970/8188 7583/8211 7674/8204 7570/8194 +f 7567/8187 7585/7587 7583/8211 11970/8188 +f 7568/8182 7584/7588 7585/7587 7567/8187 +f 11973/8181 7743/8366 7584/7588 7568/8182 +f 11972/8184 7718/8399 7743/8366 11973/8181 +f 5369/8296 880/8400 7718/8399 11972/8184 +f 11989/8340 7651/8322 7652/8321 11988/8338 +f 11988/8338 7652/8321 7653/8331 11987/8339 +f 11987/8339 7653/8331 7654/8330 11990/8346 +f 7740/8409 11993/8416 11990/8346 7654/8330 +f 11993/8416 7740/8409 7719/8326 11992/8342 +f 11992/8342 7719/8326 956/8325 5390/8343 +f 12781/13338 11518/12634 12369/13339 12782/13340 +f 11573/12633 12376/13341 12369/13339 11518/12634 +f 12377/13342 12371/13343 12381/13344 12387/13345 +f 12386/13346 12379/13347 12369/13339 12376/13341 +f 12387/13345 12383/13348 12373/13349 12377/13342 +f 12378/13350 12374/13351 12384/13352 12388/13353 +f 12388/13353 12382/13354 12372/13355 12378/13350 +f 12375/13356 12370/13357 12380/13358 12385/13359 +f 12397/13360 12393/13361 12383/13348 12387/13345 +f 12388/13353 12384/13352 12394/13362 12398/13363 +f 12398/13363 12392/13364 12382/13354 12388/13353 +f 12385/13359 12380/13358 12390/13365 12395/13366 +f 12387/13345 12381/13344 12391/13367 12397/13360 +f 12396/13368 12389/13369 12379/13347 12386/13346 +f 12440/13370 12439/13371 12404/13372 12408/13373 +f 12446/13374 12445/13375 12400/13376 12405/13377 +f 12449/13378 12447/13379 12401/13380 12407/13381 +f 12953/13382 12465/13383 12454/13384 12954/13385 +f 12910/13386 12954/13385 12454/13384 12443/13387 +f 12425/13388 12415/13389 12410/13390 12420/13391 +f 12427/13392 12417/13393 12411/13394 12421/13395 +f 12417/13393 12427/13392 12423/13396 12413/13397 +f 12428/13398 12418/13399 12414/13400 12424/13401 +f 12418/13399 12428/13398 12422/13402 12412/13403 +f 12416/13404 12426/13405 12419/13406 12409/13407 +f 12408/13373 12418/13399 12412/13403 12402/13408 +f 12418/13399 12408/13373 12404/13372 12414/13400 +f 12407/13381 12417/13393 12413/13397 12403/13409 +f 12417/13393 12407/13381 12401/13380 12411/13394 +f 12415/13389 12405/13377 12400/13376 12410/13390 +f 12915/13410 12910/13386 12443/13387 12816/13411 +f 12914/13412 12915/13410 12816/13411 12821/13413 +f 12406/13414 12416/13404 12409/13407 12399/13415 +f 12821/13413 12816/13411 12912/13416 12911/13417 +f 12816/13411 12443/13387 12913/13418 12912/13416 +f 12408/13373 12402/13408 12441/13419 12440/13370 +f 12406/13414 12399/13415 12442/13420 12448/13421 +f 12407/13381 12403/13409 12444/13422 12449/13378 +f 11422/12548 11393/12499 11397/12498 11426/12562 +f 13025/13423 12920/13424 12832/13425 13026/13426 +f 12458/13427 12450/13428 12429/13429 12436/13430 +f 12459/13431 12455/13432 12433/13433 12437/13434 +f 11396/12495 11425/12559 11426/12562 11397/12498 +f 12438/13435 12434/13436 12456/13437 12460/13438 +f 12460/13438 12453/13439 12432/13440 12438/13435 +f 12435/13441 12430/13442 12451/13443 12457/13444 +f 12952/13445 12969/13446 12465/13383 12953/13382 +f 12437/13434 12431/13447 12452/13448 12459/13431 +f 12469/13449 12461/13450 12450/13428 12458/13427 +f 12470/13451 12466/13452 12455/13432 12459/13431 +f 12443/13387 12454/13384 12926/13453 12913/13418 +f 12919/12689 12937/13454 12942/13455 12905/12686 +f 12460/13438 12456/13437 12467/13456 12471/13457 +f 12471/13457 12464/13458 12453/13439 12460/13438 +f 12457/13444 12451/13443 12462/13459 12468/13460 +f 12459/13431 12452/13448 12463/13461 12470/13451 +f 12513/13462 12482/13463 12485/13464 12514/13465 +f 12521/13466 12476/13467 12473/13468 12524/13469 +f 12509/13470 12475/13471 12478/13472 12511/13473 +f 12525/13474 12484/13475 12480/13476 12522/13477 +f 12518/13478 12504/13479 12482/13463 12513/13462 +f 12523/13480 12492/13481 12494/13482 12527/13483 +f 12526/13484 12493/13485 12495/13486 12520/13487 +f 12511/13473 12478/13472 12498/13488 12516/13489 +f 12526/13484 12477/13490 12497/13491 12529/13492 +f 12528/13493 12496/13494 12476/13467 12521/13466 +f 12522/13477 12480/13476 12505/13495 12530/13496 +f 12527/13483 12494/13482 12507/13497 12531/13498 +f 12483/13499 12512/13500 12515/13501 12487/13502 +f 12472/13503 12508/13504 12510/13505 12479/13506 +f 12503/13507 12519/13508 12512/13500 12483/13499 +f 12479/13506 12510/13505 12517/13509 12499/13510 +f 12489/13511 12521/13466 12524/13469 12488/13512 +f 12491/13513 12525/13474 12522/13477 12490/13514 +f 12486/13515 12523/13480 12527/13483 12481/13516 +f 12477/13490 12526/13484 12520/13487 12474/13517 +f 12493/13485 12526/13484 12529/13492 12501/13518 +f 12500/13519 12528/13493 12521/13466 12489/13511 +f 12490/13514 12522/13477 12530/13496 12506/13520 +f 12481/13516 12527/13483 12531/13498 12502/13521 +f 12573/13522 12572/13523 12537/13524 12541/13525 +f 12578/13526 12577/13527 12533/13528 12538/13529 +f 12581/13530 12579/13531 12534/13532 12540/13533 +f 12558/13534 12548/13535 12543/13536 12553/13537 +f 12560/13538 12550/13539 12544/13540 12554/13541 +f 12550/13539 12560/13538 12556/13542 12546/13543 +f 12561/13544 12551/13545 12547/13546 12557/13547 +f 12551/13545 12561/13544 12555/13548 12545/13549 +f 12549/13550 12559/13551 12552/13552 12542/13553 +f 12541/13525 12551/13545 12545/13549 12535/13554 +f 12551/13545 12541/13525 12537/13524 12547/13546 +f 12540/13533 12550/13539 12546/13543 12536/13555 +f 12550/13539 12540/13533 12534/13532 12544/13540 +f 12548/13535 12538/13529 12533/13528 12543/13536 +f 12539/13556 12549/13550 12542/13553 12532/13557 +f 12541/13525 12535/13554 12574/13558 12573/13522 +f 12539/13556 12532/13557 12575/13559 12580/13560 +f 12540/13533 12536/13555 12576/13561 12581/13530 +f 12589/13562 12582/13563 12562/13564 12569/13565 +f 12590/13566 12586/13567 12566/13568 12570/13569 +f 12571/13570 12567/13571 12587/13572 12591/13573 +f 12591/13573 12585/13574 12565/13575 12571/13570 +f 12568/13576 12563/13577 12583/13578 12588/13579 +f 12570/13569 12564/13580 12584/13581 12590/13566 +f 12599/13582 12592/13583 12582/13563 12589/13562 +f 12600/13584 12596/13585 12586/13567 12590/13566 +f 12591/13573 12587/13572 12597/13586 12601/13587 +f 12601/13587 12595/13588 12585/13574 12591/13573 +f 12588/13579 12583/13578 12593/13589 12598/13590 +f 12590/13566 12584/13581 12594/13591 12600/13584 +f 12643/13592 12612/13593 12615/13594 12644/13595 +f 12651/13596 12606/13597 12603/13598 12654/13599 +f 12639/13600 12605/13601 12608/13602 12641/13603 +f 12655/13604 12614/13605 12610/13606 12652/13607 +f 12648/13608 12634/13609 12612/13593 12643/13592 +f 12653/13610 12622/13611 12624/13612 12657/13613 +f 12656/13614 12623/13615 12625/13616 12650/13617 +f 12641/13603 12608/13602 12628/13618 12646/13619 +f 12656/13614 12607/13620 12627/13621 12659/13622 +f 12658/13623 12626/13624 12606/13597 12651/13596 +f 12652/13607 12610/13606 12635/13625 12660/13626 +f 12657/13613 12624/13612 12637/13627 12661/13628 +f 12613/13629 12642/13630 12645/13631 12617/13632 +f 12602/13633 12638/13634 12640/13635 12609/13636 +f 12633/13637 12649/13638 12642/13630 12613/13629 +f 12609/13636 12640/13635 12647/13639 12629/13640 +f 12619/13641 12651/13596 12654/13599 12618/13642 +f 12621/13643 12655/13604 12652/13607 12620/13644 +f 12616/13645 12653/13610 12657/13613 12611/13646 +f 12607/13620 12656/13614 12650/13617 12604/13647 +f 12623/13615 12656/13614 12659/13622 12631/13648 +f 12630/13649 12658/13623 12651/13596 12619/13641 +f 12620/13644 12652/13607 12660/13626 12636/13650 +f 12611/13646 12657/13613 12661/13628 12632/13651 +f 12703/13652 12702/13653 12667/13654 12671/13655 +f 12708/13656 12707/13657 12663/13658 12668/13659 +f 12711/13660 12709/13661 12664/13662 12670/13663 +f 12688/13664 12678/13665 12673/13666 12683/13667 +f 12690/13668 12680/13669 12674/13670 12684/13671 +f 12680/13669 12690/13668 12686/13672 12676/13673 +f 12691/13674 12681/13675 12677/13676 12687/13677 +f 12681/13675 12691/13674 12685/13678 12675/13679 +f 12679/13680 12689/13681 12682/13682 12672/13683 +f 12671/13655 12681/13675 12675/13679 12665/13684 +f 12681/13675 12671/13655 12667/13654 12677/13676 +f 12670/13663 12680/13669 12676/13673 12666/13685 +f 12680/13669 12670/13663 12664/13662 12674/13670 +f 12678/13665 12668/13659 12663/13658 12673/13666 +f 12669/13686 12679/13680 12672/13683 12662/13687 +f 12671/13655 12665/13684 12704/13688 12703/13652 +f 12669/13686 12662/13687 12705/13689 12710/13690 +f 12670/13663 12666/13685 12706/13691 12711/13660 +f 12719/13692 12712/13693 12692/13694 12699/13695 +f 12720/13696 12716/13697 12696/13698 12700/13699 +f 12701/13700 12697/13701 12717/13702 12721/13703 +f 12721/13703 12715/13704 12695/13705 12701/13700 +f 12698/13706 12693/13707 12713/13708 12718/13709 +f 12700/13699 12694/13710 12714/13711 12720/13696 +f 12729/13712 12722/13713 12712/13693 12719/13692 +f 12730/13714 12726/13715 12716/13697 12720/13696 +f 12721/13703 12717/13702 12727/13716 12731/13717 +f 12731/13717 12725/13718 12715/13704 12721/13703 +f 12718/13709 12713/13708 12723/13719 12728/13720 +f 12720/13696 12714/13711 12724/13721 12730/13714 +f 12737/13722 12733/13723 12741/13724 12745/13725 +f 12741/13724 12749/13726 12753/13727 12745/13725 +f 11614/12678 13114/13728 13115/13729 11634/12698 +f 13297/13730 12753/13727 13304/13731 13331/13732 +f 13118/13733 12743/13734 12735/13735 13151/13736 +f 12746/13737 12742/13738 12734/13739 12738/13740 +f 12739/13741 12735/13735 12743/13734 12747/13742 +f 12747/13743 12741/13724 12733/13723 12739/13744 +f 12738/13745 12732/13746 12740/13747 12746/13748 +f 12754/13749 12750/13750 12742/13738 12746/13737 +f 12747/13742 12743/13734 12751/13751 12755/13752 +f 12755/13753 12749/13726 12741/13724 12747/13743 +f 12746/13748 12740/13747 12748/13754 12754/13755 +f 12937/13454 12938/12506 12945/12505 12942/13455 +f 11628/12691 13086/13756 13087/13757 11630/12692 +f 12445/13375 11639/12719 13071/13758 13112/13759 +f 12663/13658 13091/13760 13092/13761 12673/13666 +f 11653/12721 11632/12704 13131/13762 13116/13763 +f 12445/13375 13112/13759 13111/13764 12400/13376 +f 12543/13536 13128/13765 13103/13766 12553/13537 +f 12475/13471 13120/13767 13161/13768 12478/13472 +f 12450/13428 13122/13769 13123/13770 12429/13429 +f 12398/13363 12470/13451 12463/13461 12392/13364 +f 12470/13451 12398/13363 12394/13362 12466/13452 +f 11640/12685 13071/13758 13072/13771 11618/12669 +f 12461/13450 13121/13772 13122/13769 12450/13428 +f 12471/13457 12600/13584 12594/13591 12464/13458 +f 12601/13587 12730/13714 12724/13721 12595/13588 +f 12730/13714 12601/13587 12597/13586 12726/13715 +f 12600/13584 12471/13457 12467/13456 12596/13585 +f 12725/13773 12754/13755 12748/13754 12729/13712 +f 12731/13717 12750/13750 12754/13749 12725/13718 +f 11629/12695 13134/13774 13085/13775 11631/12696 +f 11425/12559 11396/12495 11399/12492 11428/12527 +f 12572/13523 13142/13776 13143/13777 12537/13524 +f 12430/13442 12420/13391 13109/13778 13123/13770 +f 11623/12714 13073/13779 13072/13771 11619/12711 +f 12910/13386 12902/13780 12948/13781 12954/13385 +f 12504/13479 12756/13782 13089/13783 12482/13463 +f 12917/13784 12913/13418 12926/13453 12931/13785 +f 12822/13786 12827/13787 12842/13788 12835/13789 +f 12886/13790 11445/13791 12838/13792 12974/13793 +f 12839/12513 12842/13788 12827/13787 12825/13794 +f 12819/13795 12829/13796 12844/13797 12833/13798 +f 12900/13799 12917/13784 12931/13785 12935/13800 +f 11421/12518 12886/12569 11419/12528 11420/12519 +f 12828/13801 12823/13802 12836/13803 12843/13804 +f 13037/12512 11445/13791 12886/13790 11421/12515 +f 12843/13804 12844/13797 12829/13796 12828/13801 +f 12982/13805 12844/13797 12843/13804 12983/13806 +f 12983/13806 12843/13804 12836/13803 12984/13807 +f 12982/13808 11458/12565 11462/12564 12968/13809 +f 12932/13810 12927/13811 12929/13812 12989/13813 +f 12970/12517 11460/12516 11459/12567 12986/13814 +f 12832/13425 12817/13815 12831/13816 12846/13817 +f 12986/13814 11459/12567 11465/12566 12967/13818 +f 12861/13819 12860/13820 12857/13821 12858/13822 +f 12858/13822 12856/13823 12859/13824 12861/13819 +f 11445/13791 12837/13825 12989/13813 12838/13792 +f 12809/13826 12793/13827 12794/13828 12810/13829 +f 12806/13830 12790/13831 12793/13827 12809/13826 +f 12826/13832 12870/13833 12874/13834 12841/13835 +f 12897/13836 12853/13837 12857/13821 12891/13838 +f 12892/13839 12897/13836 12891/13838 11416/13840 +f 12893/13841 12892/13839 11416/13840 12887/13842 +f 12893/13841 12887/13842 12888/13843 12894/13844 +f 12888/13843 12889/13845 12895/13846 12894/13844 +f 12895/13846 12889/13845 12890/13847 12896/13848 +f 12877/13849 12876/13850 12872/13851 12873/13852 +f 12875/13853 12877/13849 12873/13852 12871/13854 +f 12790/13831 12806/13830 12807/13855 12791/13856 +f 12791/13856 12807/13855 12808/13857 12792/13858 +f 12792/13858 12808/13857 12811/13859 12795/13860 +f 13033/13861 12896/13848 12890/13847 13046/13862 +f 13046/13862 13045/13863 13032/13864 13033/13861 +f 11653/12721 13116/13763 13115/13729 11635/12722 +f 12414/13400 13084/13865 13135/13866 12424/13401 +f 12455/13432 13137/13867 13136/13868 12433/13433 +f 12953/13382 12949/13869 12950/13870 12952/13445 +f 12804/13871 12788/13872 12795/13860 12811/13859 +f 12871/13854 12867/13873 13032/13864 13045/13863 +f 12867/13873 12871/13854 12873/13852 12869/13874 +f 12869/13874 12873/13852 12872/13851 12868/13875 +f 13043/13876 12901/13877 12899/13878 13042/13879 +f 12866/13880 12868/13875 12872/13851 12870/13833 +f 12826/13832 12810/13881 12866/13880 12870/13833 +f 12804/13871 12805/13882 12789/13883 12788/13872 +f 12812/13884 12796/13885 12789/13883 12805/13882 +f 12796/13885 12812/13884 12813/13886 12797/13887 +f 12802/13888 12786/13889 12797/13887 12813/13886 +f 12787/13890 12786/13889 12802/13888 12803/13891 +f 12814/13892 12798/13893 12787/13890 12803/13891 +f 12798/13893 12814/13892 12815/13894 12799/13895 +f 12916/13896 12917/13784 12900/13799 12899/13878 +f 12918/13897 12916/13896 12899/13878 12901/13877 +f 12932/13810 12989/13813 12837/13825 13034/13898 +f 12930/13899 12931/13900 12926/13901 12925/12502 +f 12903/13902 12902/13780 12910/13386 12915/13410 +f 12800/13903 12784/13904 12799/13895 12815/13894 +f 12785/13905 12784/13904 12800/13903 12801/13906 +f 12830/12574 12845/12573 12846/13817 12831/13816 +f 12904/13907 12903/13902 12915/13410 12914/13412 +f 12785/13905 12801/13906 12851/13908 12847/13909 +f 12958/13910 12979/13911 12980/13912 11464/13913 +f 12912/13416 12913/13418 12917/13784 12916/13896 +f 12911/13417 12912/13416 12916/13896 12918/13897 +f 13021/13914 12861/13819 12859/13824 13023/13915 +f 12920/13424 12921/13916 12855/13917 12818/13918 +f 12927/13811 12930/13899 12925/12502 12922/12501 +f 13015/12556 13029/13919 12958/13910 11453/12551 +f 12951/13920 12957/13921 12923/13922 12924/13923 +f 13025/13423 13024/13924 12921/13916 12920/13424 +f 12932/13810 12934/13925 12930/13899 12927/13811 +f 12934/13925 12935/13926 12931/13900 12930/13899 +f 12979/13927 12845/12573 12834/12572 12980/13928 +f 13030/13929 13027/13930 12845/12573 12979/13927 +f 12953/13382 12954/13385 12948/13781 12949/13869 +f 12947/13931 12955/13932 12952/13445 12950/13870 +f 12947/13931 12946/13933 12956/13934 12955/13932 +f 12955/13932 12956/13934 12957/13935 12951/13936 +f 12964/13937 11440/12549 11444/12563 12961/13938 +f 12963/13939 11457/12561 11441/12550 12962/13940 +f 12962/13940 11441/12550 11440/12549 12964/13937 +f 11428/12527 11399/12492 11398/12491 11427/12524 +f 11455/13941 11454/13942 11436/12542 11437/12541 +f 13019/13943 13020/13944 13041/13945 13040/13946 +f 13020/13944 13018/13947 13042/13879 13041/13945 +f 13018/13947 13017/13948 13043/13876 13042/13879 +f 12966/13949 11443/12560 11446/12526 12959/12529 +f 12975/13950 12960/13951 12923/13922 12976/13952 +f 12929/13812 12924/13923 12923/13922 12960/13951 +f 12973/13953 12964/13937 12961/13938 12976/13954 +f 12985/13955 12963/13939 12962/13940 12977/13956 +f 12977/13956 12962/13940 12964/13937 12973/13953 +f 12975/13957 12966/13949 12959/12529 12974/12568 +f 11443/12560 12966/13949 12961/13938 11444/12563 +f 13029/13919 13030/13958 12979/13911 12958/13910 +f 12971/12509 12837/13825 11445/13791 13037/12512 +f 12966/13949 12975/13957 12976/13954 12961/13938 +f 12956/13934 12977/13959 12973/13960 12957/13935 +f 11461/12570 12983/13961 12984/13962 11463/12575 +f 12946/13933 12985/13963 12977/13959 12956/13934 +f 12924/13923 12929/13812 12927/13811 12922/12501 +f 12978/12508 13034/13898 12837/13825 12971/12509 +f 12924/13923 12922/12501 12969/12500 12951/13920 +f 13039/13964 13038/13965 13034/13898 12978/12508 +f 12957/13921 12973/13966 12976/13952 12923/13922 +f 12839/12513 12970/12514 12986/13967 12842/13788 +f 12844/13797 12982/13805 12968/13968 12833/13798 +f 11453/12551 12958/13910 11464/13913 11452/12552 +f 11458/12565 12982/13808 12983/13961 11461/12570 +f 12842/13788 12986/13967 12967/13969 12835/13789 +f 12960/13951 12975/13950 12974/13793 12838/13792 +f 12919/12689 13023/13915 13024/13924 12937/13454 +f 12937/13454 13024/13924 13025/13423 12938/12506 +f 11452/12552 11450/12557 11432/12533 11434/12534 +f 11451/12555 11456/12558 11438/12544 11433/12531 +f 12938/12506 13025/13423 13026/13426 12939/12507 +f 12840/13970 12809/13826 12810/13829 12826/13971 +f 11664/12703 13132/13972 13131/13762 11632/12704 +f 12861/13819 13021/13914 13022/13973 12860/13820 +f 12824/13974 12806/13830 12809/13826 12840/13970 +f 13028/13975 12940/13976 12939/12507 13026/13426 +f 13027/13930 12936/13977 12940/13976 13028/13975 +f 13030/13929 12981/13978 12936/13977 13027/13930 +f 10995/12133 4373/4914 6432/6778 12988/13979 +f 10995/12133 12988/13979 12933/13980 10999/12134 +f 10999/12134 12933/13980 12990/12149 11003/12136 +f 12846/13817 12845/12573 13027/13930 13028/13975 +f 12832/13425 12846/13817 13028/13975 13026/13426 +f 12981/13981 13030/13958 13029/13919 12928/13982 +f 12934/13925 12932/13810 13034/13898 13038/13965 +f 12824/13974 12840/13970 13035/13983 13031/12511 +f 12989/13813 12929/13812 12960/13951 12838/13792 +f 12955/13932 12951/13936 12969/13446 12952/13445 +f 12851/13908 12852/13984 12848/13985 12847/13909 +f 13016/13986 13044/13987 13043/13876 13017/13948 +f 12935/13926 12934/13925 13038/13965 13040/13988 +f 13044/13987 12898/13989 12901/13877 13043/13876 +f 12899/13878 12900/13799 13041/13945 13042/13879 +f 12841/13835 12874/13834 13020/13944 13019/13943 +f 13036/13990 12807/13855 12806/13830 12824/13974 +f 13020/13944 12874/13834 12876/13850 13018/13947 +f 12840/13970 12826/13971 12841/13991 13035/13983 +f 13036/13990 12987/12510 12839/12513 12825/13794 +f 12877/13849 13017/13948 13018/13947 12876/13850 +f 13019/13992 13040/13988 13038/13965 13039/13964 +f 12875/13853 13016/13986 13017/13948 12877/13849 +f 12854/13993 12850/13994 12848/13985 12852/13984 +f 12928/13982 13029/13919 13015/12556 11454/13995 +f 12921/13916 13024/13924 13023/13915 12859/13824 +f 12859/13824 12856/13823 12855/13917 12921/13916 +f 12807/13855 13036/13990 12825/13794 12808/13857 +f 13041/13945 12900/13799 12935/13800 13040/13946 +f 12744/13996 12740/13747 12732/13746 12736/13997 +f 12740/13747 12744/13996 12752/13998 12748/13754 +f 12433/13433 13136/13868 13135/13866 12423/13396 +f 13150/13999 12737/13722 12745/13725 13145/14000 +f 12623/13615 13108/14001 13095/14002 12625/13616 +f 12626/13624 13127/14003 13080/14004 12647/13639 +f 11642/12732 13081/14005 13087/13757 11626/12726 +f 12850/13994 12854/13993 12853/13837 12849/14006 +f 12885/14007 12849/14006 12853/13837 12897/13836 +f 12808/13857 12825/13794 12827/13787 12811/13859 +f 12822/13786 12804/13871 12811/13859 12827/13787 +f 12876/13850 12874/13834 12870/13833 12872/13851 +f 12719/13692 12715/14008 12725/13773 12729/13712 +f 12822/13786 12823/13802 12805/13882 12804/13871 +f 12892/13839 12878/14009 12885/14007 12897/13836 +f 12878/14009 12892/13839 12893/13841 12879/14010 +f 11611/12677 13113/14011 13114/13728 11614/12678 +f 13031/12511 12987/12510 13036/13990 12824/13974 +f 12465/12503 12925/12502 12926/13901 12454/14012 +f 12646/13619 12627/13621 12607/13620 12641/13603 +f 12604/13647 12639/13600 12641/13603 12607/13620 +f 12644/13595 12616/14013 12611/14014 12643/13592 +f 12632/14015 12648/13608 12643/13592 12611/14014 +f 12635/14016 12649/13638 12708/13656 12709/14017 +f 12710/13690 12704/14018 12665/14019 12669/13686 +f 12669/13686 12665/14019 12675/14020 12679/13680 +f 12679/13680 12675/14020 12685/14021 12689/13681 +f 12689/13681 12699/13695 12692/13694 12682/13682 +f 12640/13635 12606/13597 12626/13624 12647/13639 +f 12638/13634 12603/13598 12606/13597 12640/13635 +f 12614/14022 12645/13631 12642/13630 12610/14023 +f 12649/13638 12635/14016 12610/14023 12642/13630 +f 12711/13660 12660/13626 12635/13625 12709/13661 +f 12660/13626 12711/13660 12706/13691 12636/13650 +f 13079/14024 12636/13650 12706/13691 13078/14025 +f 12709/14017 12708/13656 12668/13659 12664/14026 +f 12664/14026 12668/13659 12678/13665 12674/14027 +f 12674/14027 12678/13665 12688/13664 12684/14028 +f 12689/13681 12685/14021 12695/14029 12699/13695 +f 12691/13674 12701/13700 12695/13705 12685/13678 +f 12699/13695 12695/14029 12715/14008 12719/13692 +f 12871/13854 13045/13863 13047/14030 12875/13853 +f 12939/12507 12940/13976 12941/14031 12944/12504 +f 12940/13976 12936/13977 12943/14032 12941/14031 +f 12936/13977 12981/13978 12972/14033 12943/14032 +f 12981/14034 12928/14035 12965/14036 12972/14037 +f 12928/14035 11454/13942 11455/13941 12965/14036 +f 13031/12511 13035/13983 13039/13964 12978/12508 +f 13035/13983 12841/13991 13019/13992 13039/13964 +f 12828/13801 12812/13884 12805/13882 12823/13802 +f 12812/13884 12828/13801 12829/13796 12813/13886 +f 12819/13795 12802/13888 12813/13886 12829/13796 +f 12803/13891 12802/13888 12819/13795 12820/12571 +f 12879/14010 12893/13841 12894/13844 12880/14038 +f 12895/13846 12881/14039 12880/14038 12894/13844 +f 12881/14039 12895/13846 12896/13848 12882/14040 +f 12882/14040 12896/13848 13033/13861 12883/14041 +f 12830/12574 12814/13892 12803/13891 12820/12571 +f 12814/13892 12830/12574 12831/13816 12815/13894 +f 13049/14042 11415/14043 11416/13840 12891/13838 +f 12887/13842 11416/13840 11415/14043 11414/14044 +f 11414/14044 11413/14045 12888/13843 12887/13842 +f 13048/14046 13050/14047 13046/13862 12890/13847 +f 11412/14048 13048/14046 12890/13847 12889/13845 +f 12889/13845 12888/13843 11413/14045 11412/14048 +f 13050/14047 13047/14030 13045/13863 13046/13862 +f 12860/13820 13049/14042 12891/13838 12857/13821 +f 13051/14049 13055/14050 12914/13412 12821/13413 +f 12909/12706 13053/14051 13057/14052 13022/13973 +f 13056/14053 13054/14054 12911/13417 12918/13897 +f 12821/13413 12911/13417 13054/14054 13051/14049 +f 13055/14050 13052/14055 12904/13907 12914/13412 +f 13022/13973 13057/14052 13049/14042 12860/13820 +f 12898/13989 13056/14053 12918/13897 12901/13877 +f 13065/14056 13064/14057 13063/14058 13061/14059 +f 13067/14060 13066/14061 13059/14062 13058/14063 +f 13068/14064 13064/14057 13050/14047 13048/14046 +f 13069/14065 13066/14061 11413/14045 11414/14044 +f 13067/14060 13068/14064 13048/14046 11412/14048 +f 12909/12706 13022/13973 13021/13914 12908/12688 +f 13047/14030 13050/14047 13064/14057 13065/14056 +f 11412/14048 11413/14045 13066/14061 13067/14060 +f 13062/14066 13063/14058 13064/14057 13068/14064 +f 13058/14063 13062/14066 13068/14064 13067/14060 +f 11414/14044 11415/14043 13070/14067 13069/14065 +f 13056/14053 13061/14059 13063/14058 13054/14054 +f 13023/13915 12919/12689 12908/12688 13021/13914 +f 13016/13986 12875/13853 13047/14030 13065/14056 +f 13056/14053 12898/13989 13044/13987 13061/14059 +f 13049/14042 13057/14052 13070/14067 11415/14043 +f 13016/13986 13065/14056 13061/14059 13044/13987 +f 13055/14050 13058/14063 13059/14062 13052/14055 +f 13051/14049 13062/14066 13058/14063 13055/14050 +f 12907/12705 13060/14068 13053/14051 12909/12706 +f 12907/12705 12904/13907 13052/14055 13060/14068 +f 13062/14066 13051/14049 13054/14054 13063/14058 +f 12920/13424 12818/13918 12817/13815 12832/13425 +f 12817/13815 12800/13903 12815/13894 12831/13816 +f 12817/13815 12818/13918 12801/13906 12800/13903 +f 12883/14041 13033/13861 13032/13864 12884/14069 +f 12867/13873 12863/14070 12884/14069 13032/13864 +f 12716/13697 13154/14071 13153/14072 12696/13698 +f 11571/12664 12771/14073 12757/14074 11561/12621 +f 11561/12621 12757/14074 12758/14075 11565/12622 +f 12779/14076 12390/13365 12380/13358 12780/14077 +f 12780/14077 12380/13358 12370/13357 12782/13340 +f 12372/14078 12376/13341 11573/12633 11521/14079 +f 11593/12612 12378/13350 12372/13355 11521/12659 +f 12783/14080 11540/12631 11518/12634 12781/13338 +f 12768/14081 11544/12643 11540/12631 12783/14080 +f 12768/14081 11542/12601 11534/12607 12769/12667 +f 11581/12580 11579/12646 11535/12645 11532/12581 +f 11536/14082 11579/12646 11581/12580 11531/14083 +f 12773/14084 11547/12582 11532/12581 12770/12666 +f 12772/14085 11522/12639 11529/12642 12774/14086 +f 12774/14086 11529/12642 11569/12648 12776/14087 +f 12777/14088 11588/12625 11568/12624 12776/14087 +f 12775/14089 11607/12628 11567/12627 12778/14090 +f 12775/14089 11606/12629 11570/12665 12771/14073 +f 12777/14088 12778/14090 11567/12627 11588/12625 +f 11576/12641 11526/12585 11566/12630 11589/12647 +f 11574/12640 11523/12586 11526/12585 11576/12641 +f 11546/12593 11587/12637 11578/12636 11530/12594 +f 11605/12619 11604/12609 11536/12658 11531/12662 +f 11604/12609 11605/12619 11563/12618 11562/12610 +f 11584/12600 11545/12599 11537/12598 11580/12606 +f 11545/12599 11584/12600 11582/12576 11541/12604 +f 11541/12604 11582/12576 11572/12579 11520/12605 +f 12378/13350 11593/12612 11564/12615 12374/13351 +f 12765/14091 12374/13351 11564/12615 12764/14092 +f 12371/13343 12375/13356 12385/13359 12381/13344 +f 12395/13366 12391/13367 12381/13344 12385/13359 +f 11560/12617 12759/14093 12760/14094 11563/12618 +f 12767/14095 12394/13362 12384/13352 12766/14096 +f 12766/14096 12384/13352 12374/13351 12765/14091 +f 11590/12602 12377/13342 12373/13349 11550/12655 +f 12377/13342 11590/12602 11520/12605 12371/13343 +f 12763/14097 11555/12656 11550/12655 12764/14092 +f 12762/14098 11556/12653 11555/12656 12763/14097 +f 12761/14099 11554/12654 11556/12653 12762/14098 +f 12761/14099 11562/12610 11563/12618 12760/14094 +f 11594/12595 11595/12597 11554/12654 11553/12652 +f 12759/14093 11557/12651 11553/12652 12760/14094 +f 12757/14074 11552/12649 11551/12650 12758/14075 +f 12771/14073 11570/12665 11552/12649 12757/14074 +f 11554/12654 12761/14099 12760/14094 11553/12652 +f 11562/12610 12761/14099 12762/14098 11558/12611 +f 13138/14100 12467/13456 12456/13437 13137/13867 +f 13137/13867 12456/13437 12434/13436 13136/13868 +f 12437/13434 12427/13392 12421/13395 12431/13447 +f 13084/13865 12413/13397 12423/13396 13135/13866 +f 13083/14101 12403/13409 12413/13397 13084/13865 +f 13082/14102 12444/13422 12403/13409 13083/14101 +f 11654/12684 12448/13421 12442/13420 11640/12685 +f 13081/14005 11643/12709 11630/12692 13087/13757 +f 13086/13756 11627/12725 11626/12726 13087/13757 +f 13134/13774 11625/12723 11624/12724 13085/13775 +f 13133/14103 11636/12731 11625/12723 13134/13774 +f 13132/13972 11664/12703 11636/12731 13133/14103 +f 13132/13972 11665/12702 11633/12701 13131/13762 +f 11652/12699 11633/12701 11613/12700 11647/12679 +f 11646/12717 11612/12673 11632/12704 11653/12721 +f 13116/13763 13131/13762 11633/12701 11652/12699 +f 13116/13763 11652/12699 11634/12698 13115/13729 +f 13114/13728 11615/12718 11635/12722 13115/13729 +f 13113/14011 11608/12715 11615/12718 13114/13728 +f 13073/13779 11621/12670 11618/12669 13072/13771 +f 13071/13758 11639/12719 11619/12711 13072/13771 +f 12441/14104 12448/13421 11654/12684 11638/14105 +f 11667/12710 12440/13370 12441/13419 11638/12733 +f 12440/13370 11667/12710 11643/12709 12439/13371 +f 13112/13759 12442/13420 12399/13415 13111/13764 +f 13111/13764 12399/13415 12409/13407 13110/14106 +f 13110/14106 12409/13407 12419/13406 13109/13778 +f 12427/13392 12437/13434 12433/13433 12423/13396 +f 13136/13868 12434/13436 12424/13401 13135/13866 +f 12438/13435 12428/13398 12424/13401 12434/13436 +f 13122/13769 12451/13443 12430/13442 13123/13770 +f 13121/13772 12462/13459 12451/13443 13122/13769 +f 11558/12611 12762/14098 12763/14097 11559/12614 +f 11559/12614 12763/14097 12764/14092 11564/12615 +f 12383/13348 12766/14096 12765/14091 12373/13349 +f 12863/14070 12867/13873 12869/13874 12865/14107 +f 12865/14107 12869/13874 12868/13875 12864/14108 +f 12801/13906 12818/13918 12855/13917 12851/13908 +f 12856/13823 12852/13984 12851/13908 12855/13917 +f 12833/13798 12834/12572 12820/12571 12819/13795 +f 12968/13968 12980/13928 12834/12572 12833/13798 +f 12980/13912 12968/13809 11462/12564 11464/13913 +f 11450/12557 11452/12552 11464/13913 11462/12564 +f 11456/12558 11451/12555 11463/12575 11465/12566 +f 12984/13962 12967/13818 11465/12566 11463/12575 +f 12967/13969 12984/13807 12836/13803 12835/13789 +f 12835/13789 12836/13803 12823/13802 12822/13786 +f 12858/13822 12854/13993 12852/13984 12856/13823 +f 12854/13993 12858/13822 12857/13821 12853/13837 +f 12864/14108 12868/13875 12866/13880 12862/14109 +f 12810/13881 12794/14110 12862/14109 12866/13880 +f 12393/13361 12767/14095 12766/14096 12383/13348 +f 12373/13349 12765/14091 12764/14092 11550/12655 +f 11589/12647 11566/12630 12778/14090 12777/14088 +f 13097/14111 12593/13589 12583/13578 13098/14112 +f 13098/14112 12583/13578 12563/13577 13099/14113 +f 12568/13576 12558/13534 12553/13537 12563/13577 +f 13128/13765 12542/13553 12552/13552 13103/13766 +f 13129/14114 12532/13557 12542/13553 13128/13765 +f 13130/14115 12575/13559 12532/13557 13129/14114 +f 12505/14116 12519/13508 12578/13526 12579/14117 +f 12756/13782 12503/13507 12483/13499 13089/13783 +f 13090/14118 12485/13464 12482/13463 13089/13783 +f 13120/13767 12472/13503 12479/13506 13161/13768 +f 13161/13768 12479/13506 12499/13510 13160/14119 +f 13159/14120 12516/13489 12498/13488 13160/14119 +f 13158/14121 12529/13492 12497/13491 13146/14122 +f 13158/14121 12528/13493 12500/13519 13147/14123 +f 13147/14123 12500/13519 12489/13511 13148/14124 +f 13148/14124 12489/13511 12488/13512 13076/14125 +f 13146/14122 13159/14120 12517/13509 12496/13494 +f 12510/13505 12476/13467 12496/13494 12517/13509 +f 12508/13504 12473/13468 12476/13467 12510/13505 +f 12484/14126 12515/13501 12512/13500 12480/14127 +f 12519/13508 12505/14116 12480/14127 12512/13500 +f 12581/13530 12530/13496 12505/13495 12579/13531 +f 12530/13496 12581/13530 12576/13561 12506/13520 +f 13124/14128 12506/13520 12576/13561 13142/13776 +f 12579/14117 12578/13526 12538/13529 12534/14129 +f 12534/14129 12538/13529 12548/13535 12544/14130 +f 12544/14130 12548/13535 12558/13534 12554/14131 +f 12554/14131 12558/13534 12568/13576 12564/14132 +f 12570/13569 12560/13538 12554/13541 12564/13580 +f 12560/13538 12570/13569 12566/13568 12556/13542 +f 12588/13579 12584/14133 12564/14132 12568/13576 +f 12584/14133 12588/13579 12598/13590 12594/14134 +f 12469/13449 12464/14135 12594/14134 12598/13590 +f 12458/13427 12453/14136 12464/14135 12469/13449 +f 12436/13430 12432/14137 12453/14136 12458/13427 +f 12428/13398 12438/13435 12432/13440 12422/13402 +f 12432/14137 12436/13430 12426/13405 12422/14138 +f 12426/13405 12436/13430 12429/13429 12419/13406 +f 12416/13404 12412/14139 12422/14138 12426/13405 +f 12406/13414 12402/14140 12412/14139 12416/13404 +f 12448/13421 12441/14104 12402/14140 12406/13414 +f 13082/14102 13081/14005 11642/12732 12444/13422 +f 11666/12708 12449/13378 12444/13422 11642/12732 +f 12449/13378 11666/12708 11641/12707 12447/13379 +f 11638/14105 11654/12684 11649/12668 11617/14141 +f 11650/12671 11622/14142 11617/14141 11649/12668 +f 11610/12729 11645/12676 11647/12679 11613/12700 +f 11644/12716 11609/12674 11612/12673 11646/12717 +f 11620/14143 11651/12713 11648/12712 11616/14144 +f 11655/12720 11641/14145 11616/14144 11648/12712 +f 11641/14145 11655/12720 12446/13374 12447/14146 +f 12446/13374 11655/12720 11639/12719 12445/13375 +f 13112/13759 13071/13758 11640/12685 12442/13420 +f 12447/14146 12446/13374 12405/13377 12401/14147 +f 12401/14147 12405/13377 12415/13389 12411/14148 +f 12411/14148 12415/13389 12425/13388 12421/14149 +f 12421/14149 12425/13388 12435/13441 12431/14150 +f 12435/13441 12425/13388 12420/13391 12430/13442 +f 13123/13770 13109/13778 12419/13406 12429/13429 +f 12457/13444 12452/14151 12431/14150 12435/13441 +f 12452/14151 12457/13444 12468/13460 12463/14152 +f 12396/13368 12392/14153 12463/14152 12468/13460 +f 12392/14153 12396/13368 12386/13346 12382/14154 +f 12376/13341 12372/14078 12382/14154 12386/13346 +f 12371/13343 11520/12605 11572/12579 12375/13356 +f 12375/13356 11572/12579 11519/12578 12370/13357 +f 11583/12632 11539/14155 11521/14079 11573/12633 +f 11585/12644 11543/14156 11539/14155 11583/12632 +f 11543/14156 11585/12644 11579/12646 11536/14082 +f 11595/12597 11594/12595 11530/12594 11537/12598 +f 11537/12598 11530/12594 11578/12636 11580/12606 +f 11586/12583 11548/14157 11531/14083 11581/12580 +f 11524/12663 11575/12588 11577/12591 11527/12626 +f 11588/12625 11567/12627 11527/12626 11577/12591 +f 12516/13489 12497/13491 12477/13490 12511/13473 +f 12474/13517 12509/13470 12511/13473 12477/13490 +f 12514/13465 12486/14158 12481/14159 12513/13462 +f 12502/14160 12518/13478 12513/13462 12481/14159 +f 12573/13522 12531/13498 12507/13497 12572/13523 +f 12531/13498 12573/13522 12574/13558 12502/13521 +f 12518/13478 12502/14160 12574/14161 12580/13560 +f 12580/13560 12574/14161 12535/14162 12539/13556 +f 12539/13556 12535/14162 12545/14163 12549/13550 +f 12549/13550 12545/14163 12555/14164 12559/13551 +f 13096/14165 12556/13542 12566/13568 13157/14166 +f 12571/13570 12561/13544 12557/13547 12567/13571 +f 12561/13544 12571/13570 12565/13575 12555/13548 +f 12569/13565 12565/14167 12585/14168 12589/13562 +f 12589/13562 12585/14168 12595/14169 12599/13582 +f 12724/14170 12728/13720 12599/13582 12595/14169 +f 12714/14171 12718/13709 12728/13720 12724/14170 +f 12718/13709 12714/14171 12694/14172 12698/13706 +f 12701/13700 12691/13674 12687/13677 12697/13701 +f 13101/14173 12723/13719 12713/13708 13100/14174 +f 13100/14174 12713/13708 12693/13707 13107/14175 +f 13152/14176 12686/13672 12696/13698 13153/14072 +f 12690/13668 12700/13699 12696/13698 12686/13672 +f 12700/13699 12690/13668 12684/13671 12694/13710 +f 13092/13761 12672/13683 12682/13682 13093/14177 +f 13091/13760 12662/13687 12672/13683 13092/13761 +f 13149/14178 12705/13689 12662/13687 13091/13760 +f 12703/13652 12661/13628 12637/13627 12702/13653 +f 12661/13628 12703/13652 12704/13688 12632/13651 +f 12632/14015 12704/14018 12710/13690 12648/13608 +f 13106/14179 12633/13637 12613/13629 13105/14180 +f 13104/14181 12615/13594 12612/13593 13105/14180 +f 13141/14182 12602/13633 12609/13636 13140/14183 +f 13140/14183 12609/13636 12629/13640 13139/14184 +f 13080/14004 12646/13619 12628/13618 13139/14184 +f 13127/14003 12627/13621 12646/13619 13080/14004 +f 13126/14185 12659/13622 12627/13621 13127/14003 +f 13126/14185 12658/13623 12630/13649 13125/14186 +f 13125/14186 12630/13649 12619/13641 13108/14001 +f 13108/14001 12619/13641 12618/13642 13095/14002 +f 13094/14187 12621/13643 12620/13644 13088/14188 +f 13079/14024 12637/13627 12624/13612 13088/14188 +f 12708/13656 12649/13638 12633/13637 12707/13657 +f 12648/13608 12710/13690 12705/13689 12634/13609 +f 13106/14179 13149/14178 12707/13657 12633/13637 +f 13078/14025 12706/13691 12666/13685 13077/14189 +f 13077/14189 12666/13685 12676/13673 13119/14190 +f 13119/14190 12676/13673 12686/13672 13152/14176 +f 12688/13664 12698/13706 12694/14172 12684/14028 +f 12698/13706 12688/13664 12683/13667 12693/13707 +f 13093/14177 13107/14175 12693/13707 12683/13667 +f 13154/14071 12717/13702 12697/13701 13153/14072 +f 13102/14191 12727/13716 12717/13702 13154/14071 +f 13074/14192 12491/13513 12490/13514 13075/14193 +f 13124/14128 12507/13497 12494/13482 13075/14193 +f 12518/13478 12580/13560 12575/13559 12504/13479 +f 12578/13526 12519/13508 12503/13507 12577/13527 +f 12756/13782 13130/14115 12577/13527 12503/13507 +f 13142/13776 12576/13561 12536/13555 13143/13777 +f 13143/13777 12536/13555 12546/13543 13144/14194 +f 13144/14194 12546/13543 12556/13542 13096/14165 +f 12555/14164 12565/14167 12569/13565 12559/13551 +f 12559/13551 12569/13565 12562/13564 12552/13552 +f 13103/13766 13099/14113 12563/13577 12553/13537 +f 13156/14195 12587/13572 12567/13571 13157/14166 +f 13155/14196 12597/13586 12587/13572 13156/14195 +f 11607/12628 12775/14089 12771/14073 11571/12664 +f 11606/12629 12775/14089 12778/14090 11566/12630 +f 11406/12483 11403/12493 11384/12481 11387/12474 +f 11409/12540 11408/12539 11389/14197 11390/14198 +f 11370/14199 11371/14200 11390/14198 11389/14197 +f 11365/12456 11368/12463 11387/12474 11384/12481 +f 11346/12445 11349/12438 11368/12463 11365/12456 +f 11327/12416 11330/12427 11349/12438 11346/12445 +f 11351/14201 11352/14202 11371/14200 11370/14199 +f 11332/14203 11333/14204 11352/14202 11351/14201 +f 11308/12408 11311/12401 11330/12427 11327/12416 +f 11313/14205 11314/14206 11333/14204 11332/14203 +f 11314/14206 11313/14205 11294/14207 11295/14208 +f 11289/12380 11292/12391 11311/12401 11308/12408 +f 11270/12370 11273/12363 11292/12391 11289/12380 +f 11275/14209 11276/14210 11295/14208 11294/14207 +f 11276/14210 11275/14209 11256/14211 11257/14212 +f 11251/12338 11254/12354 11273/12363 11270/12370 +f 11232/12334 11235/12327 11254/12354 11251/12338 +f 11213/12319 11216/12317 11235/12327 11232/12334 +f 11257/14212 11256/14211 11237/14213 11238/14214 +f 11238/14214 11237/14213 11218/14215 11219/14216 +f 11219/14216 11218/14215 11199/14217 11200/14218 +f 11200/14218 11199/14217 11180/14219 11181/14220 +f 11181/14220 11180/14219 11161/14221 11162/14222 +f 11194/12298 11197/12291 11216/12317 11213/12319 +f 11175/12283 11178/12281 11197/12291 11194/12298 +f 11156/12258 11159/12239 11178/12281 11175/12283 +f 11159/12239 11156/12258 11137/12257 11140/12240 +f 11162/14222 11161/14221 11142/14223 11143/14224 +f 13344/12229 11095/12228 11094/14225 13345/14226 +f 13346/14227 11116/14228 11113/14229 13345/14226 +f 13346/14227 11097/14230 11096/14231 13347/14232 +f 13347/14232 11096/14231 11106/14233 13348/14234 +f 11061/12176 11064/12180 11083/12190 11080/12197 +f 11035/12082 11042/12156 11064/12180 11061/12176 +f 11027/12081 11038/12153 11042/12156 11035/12082 +f 10979/12139 11030/12150 11038/12153 11027/12081 +f 10975/12122 11002/12137 11030/12150 10979/12139 +f 10974/12125 10998/12135 11002/12137 10975/12122 +f 10987/12124 10994/12132 10998/12135 10974/12125 +f 10994/12132 10987/12124 4348/4907 4371/4915 +f 11066/14235 11067/14236 11086/14237 11085/14238 +f 11044/14239 11045/14240 11067/14236 11066/14235 +f 11045/14240 11044/14239 11040/14241 11041/14242 +f 11041/14242 11040/14241 11032/14243 11033/14244 +f 11033/14244 11032/14243 11004/14245 11005/14246 +f 11000/14247 11001/14248 11005/14246 11004/14245 +f 10996/14249 10997/14250 11001/14248 11000/14247 +f 10997/14250 10996/14249 4375/14251 4377/14252 +f 11589/12647 12777/14088 12776/14087 11569/12648 +f 11528/12590 12774/14086 12776/14087 11568/12624 +f 11525/12589 12772/14085 12774/14086 11528/12590 +f 11549/12638 12773/14084 12770/12666 11533/12635 +f 11544/12643 12768/14081 12769/12667 11535/12645 +f 11542/12601 12768/14081 12783/14080 11538/12577 +f 11538/12577 12783/14080 12781/13338 11519/12578 +f 12379/13347 12780/14077 12782/13340 12369/13339 +f 12389/13369 12779/14076 12780/14077 12379/13347 +f 11519/12578 12781/13338 12782/13340 12370/13357 +f 11533/12635 12770/12666 12769/12667 11534/12607 +f 12439/13371 11643/12709 13081/14005 13082/14102 +f 12439/13371 13082/14102 13083/14101 12404/13372 +f 12507/13497 13124/14128 13142/13776 12572/13523 +f 12517/13509 13159/14120 13160/14119 12499/13510 +f 12400/13376 13111/13764 13110/14106 12410/13390 +f 12410/13390 13110/14106 13109/13778 12420/13391 +f 11665/12702 13132/13972 13133/14103 11637/12730 +f 12404/13372 13083/14101 13084/13865 12414/13400 +f 12466/13452 13138/14100 13137/13867 12455/13432 +f 11637/12730 13133/14103 13134/13774 11629/12695 +f 12493/13485 13148/14124 13076/14125 12495/13486 +f 12537/13524 13143/13777 13144/14194 12547/13546 +f 12504/13479 12575/13559 13130/14115 12756/13782 +f 12631/13648 13125/14186 13108/14001 12623/13615 +f 12617/13632 13104/14181 13105/14180 12613/13629 +f 12592/13583 13097/14111 13098/14112 12582/13563 +f 12487/13502 13090/14118 13089/13783 12483/13499 +f 12605/13601 13141/14182 13140/14183 12608/13602 +f 12596/13585 13155/14196 13156/14195 12586/13567 +f 12492/13481 13074/14192 13075/14193 12494/13482 +f 12577/13527 13130/14115 13129/14114 12533/13528 +f 12552/13552 12562/13564 13099/14113 13103/13766 +f 12528/13493 13158/14121 13146/14122 12496/13494 +f 12582/13563 13098/14112 13099/14113 12562/13564 +f 12659/13622 13126/14185 13125/14186 12631/13648 +f 12497/13491 12516/13489 13159/14120 13146/14122 +f 12702/13653 13078/14025 13077/14189 12667/13654 +f 12529/13492 13158/14121 13147/14123 12501/13518 +f 12634/13609 13106/14179 13105/14180 12612/13593 +f 12726/13715 13102/14191 13154/14071 12716/13697 +f 12667/13654 13077/14189 13119/14190 12677/13676 +f 12506/13520 13124/14128 13075/14193 12490/13514 +f 12677/13676 13119/14190 13152/14176 12687/13677 +f 12501/13518 13147/14123 13148/14124 12493/13485 +f 12547/13546 13144/14194 13096/14165 12557/13547 +f 12586/13567 13156/14195 13157/14166 12566/13568 +f 12557/13547 13096/14165 13157/14166 12567/13571 +f 12478/13472 13161/13768 13160/14119 12498/13488 +f 12533/13528 13129/14114 13128/13765 12543/13536 +f 12673/13666 13092/13761 13093/14177 12683/13667 +f 12707/13657 13149/14178 13091/13760 12663/13658 +f 12622/13611 13094/14187 13088/14188 12624/13612 +f 12687/13677 13152/14176 13153/14072 12697/13701 +f 12634/13609 12705/13689 13149/14178 13106/14179 +f 12722/13713 13101/14173 13100/14174 12712/13693 +f 12637/13627 13079/14024 13078/14025 12702/13653 +f 12712/13693 13100/14174 13107/14175 12692/13694 +f 12658/13623 13126/14185 13127/14003 12626/13624 +f 13256/14253 13260/14254 12734/13739 13298/14255 +f 12608/13602 13140/14183 13139/14184 12628/13618 +f 12636/13650 13079/14024 13088/14188 12620/13644 +f 12682/13682 12692/13694 13107/14175 13093/14177 +f 12647/13639 13080/14004 13139/14184 12629/13640 +f 12736/13997 13150/13999 13145/14000 12744/13996 +f 13296/14256 13256/14253 13298/14255 13299/14257 +f 12599/13582 12728/13720 12723/13719 12592/13583 +f 12469/13449 12598/13590 12593/13589 12461/13450 +f 12396/13368 12468/13460 12462/13459 12389/13369 +f 13300/14258 12391/13367 12395/13366 13301/14259 +f 13303/14260 12793/13827 12790/13831 13304/13731 +f 13301/14259 12395/13366 12390/13365 13305/14261 +f 13306/14262 12785/13905 12847/13909 13305/14261 +f 13306/14262 12779/14076 12389/13369 13307/14263 +f 13307/14263 12389/13369 12462/13459 13308/14264 +f 13309/14265 12798/13893 12799/13895 13308/14264 +f 13309/14265 13121/13772 12461/13450 13310/14266 +f 13311/14267 12786/13889 12787/13890 13310/14266 +f 13311/14267 12593/13589 13097/14111 13312/14268 +f 13313/14269 12796/13885 12797/13887 13312/14268 +f 13313/14269 12592/13583 12723/13719 13314/14270 +f 13314/14270 12723/13719 13101/14173 13315/14271 +f 13315/14271 13101/14173 12722/13713 13316/14272 +f 13317/14273 12862/14109 12794/14110 13302/14274 +f 13319/14275 12397/13360 12391/13367 13300/14258 +f 13319/14275 12849/14006 12885/14007 13320/14276 +f 13321/14277 12767/14095 12393/13361 13320/14276 +f 13321/14277 12878/14009 12879/14010 13322/14278 +f 13322/14278 12879/14010 12880/14038 13323/14279 +f 13324/14280 12865/14107 12864/14108 13318/14281 +f 13325/14282 12863/14070 12865/14107 13324/14280 +f 13325/14282 13102/14191 12726/13715 13326/14283 +f 13327/14284 12883/14041 12884/14069 13326/14283 +f 12467/13456 13138/14100 13155/14196 12596/13585 +f 13328/14285 12882/14040 12883/14041 13327/14284 +f 13329/14286 12881/14039 12882/14040 13328/14285 +f 13329/14286 13138/14100 12466/13452 13323/14279 +f 13203/14287 13172/14288 13175/14289 13204/14290 +f 11651/12713 11644/12716 11608/12715 11623/12714 +f 13211/14291 13166/14292 13163/14293 13214/14294 +f 11620/14143 11609/12674 11644/12716 11651/12713 +f 13199/14295 13165/14296 13168/14297 13201/14298 +f 11661/12680 11660/14299 11609/14300 11620/12681 +f 11660/14299 11661/12680 11627/12725 11624/14301 +f 13215/14302 13174/14303 13170/14304 13212/14305 +f 13208/14306 13194/14307 13172/14288 13203/14287 +f 13086/13756 13085/14308 11624/14301 11627/12725 +f 13213/14309 13182/14310 13184/14311 13217/14312 +f 13085/14308 13086/13756 11628/12691 11631/14313 +f 13216/14314 13183/14315 13185/14316 13210/14317 +f 13201/14298 13168/14297 13188/14318 13206/14319 +f 13216/14314 13167/14320 13187/14321 13219/14322 +f 13218/14323 13186/14324 13166/14292 13211/14291 +f 13212/14305 13170/14304 13195/14325 13220/14326 +f 13217/14312 13184/14311 13197/14327 13221/14328 +f 13173/14329 13202/14330 13205/14331 13177/14332 +f 11659/12690 11656/14333 11631/14313 11628/12691 +f 13162/14334 13198/14335 13200/14336 13169/14337 +f 11656/14333 11659/12690 11622/12727 11610/14338 +f 13193/14339 13209/14340 13202/14330 13173/14329 +f 13169/14337 13200/14336 13207/14341 13189/14342 +f 11610/12729 11622/14142 11650/12671 11645/12676 +f 13179/14343 13211/14291 13214/14294 13178/14344 +f 11645/12676 11650/12671 11621/12670 11611/12677 +f 13181/14345 13215/14302 13212/14305 13180/14346 +f 13073/13779 13113/14011 11611/12677 11621/12670 +f 13176/14347 13213/14309 13217/14312 13171/14348 +f 13113/14011 13073/13779 11623/12714 11608/12715 +f 13167/14320 13216/14314 13210/14317 13164/14349 +f 13183/14315 13216/14314 13219/14322 13191/14350 +f 13190/14351 13218/14323 13211/14291 13179/14343 +f 13180/14346 13212/14305 13220/14326 13196/14352 +f 13171/14348 13217/14312 13221/14328 13192/14353 +f 13263/14354 13262/14355 13227/14356 13231/14357 +f 13268/14358 13267/14359 13223/14360 13228/14361 +f 13271/14362 13269/14363 13224/14364 13230/14365 +f 13248/14366 13238/14367 13233/14368 13243/14369 +f 13250/14370 13240/14371 13234/14372 13244/14373 +f 13240/14371 13250/14370 13246/14374 13236/14375 +f 13251/14376 13241/14377 13237/14378 13247/14379 +f 13241/14377 13251/14376 13245/14380 13235/14381 +f 13239/14382 13249/14383 13242/14384 13232/14385 +f 13231/14357 13241/14377 13235/14381 13225/14386 +f 13241/14377 13231/14357 13227/14356 13237/14378 +f 13230/14365 13240/14371 13236/14375 13226/14387 +f 13240/14371 13230/14365 13224/14364 13234/14372 +f 13238/14367 13228/14361 13223/14360 13233/14368 +f 13229/14388 13239/14382 13232/14385 13222/14389 +f 13231/14357 13225/14386 13264/14390 13263/14354 +f 13229/14388 13222/14389 13265/14391 13270/14392 +f 13230/14365 13226/14387 13266/14393 13271/14362 +f 13223/14360 13277/14394 13278/14395 13233/14368 +f 12772/14085 12773/14084 11549/12638 11522/12639 +f 13183/14315 13286/14396 13281/14397 13185/14316 +f 13186/14324 13290/14398 13275/14399 13207/14341 +f 13206/14319 13187/14321 13167/14320 13201/14298 +f 13164/14349 13199/14295 13201/14298 13167/14320 +f 11587/12637 11574/12640 11522/12639 11549/12638 +f 11546/12593 11523/12586 11574/12640 11587/12637 +f 13204/14290 13176/14400 13171/14401 13203/14287 +f 13192/14402 13208/14306 13203/14287 13171/14401 +f 13195/14403 13209/14340 13268/14358 13269/14404 +f 13270/14392 13264/14405 13225/14406 13229/14388 +f 13229/14388 13225/14406 13235/14407 13239/14382 +f 13239/14382 13235/14407 13245/14408 13249/14383 +f 13249/14383 13259/14409 13252/14410 13242/14384 +f 13200/14336 13166/14292 13186/14324 13207/14341 +f 13198/14335 13163/14293 13166/14292 13200/14336 +f 11600/12592 11599/14411 11523/12586 11546/12593 +f 11599/14411 11600/12592 11557/12651 11551/14412 +f 13174/14413 13205/14331 13202/14330 13170/14414 +f 13209/14340 13195/14403 13170/14414 13202/14330 +f 13271/14362 13220/14326 13195/14325 13269/14363 +f 13220/14326 13271/14362 13266/14393 13196/14352 +f 13274/14415 13196/14352 13266/14393 13273/14416 +f 13269/14404 13268/14358 13228/14361 13224/14417 +f 13224/14417 13228/14361 13238/14367 13234/14418 +f 13234/14418 13238/14367 13248/14366 13244/14419 +f 13249/14383 13245/14408 13255/14420 13259/14409 +f 13251/14376 13261/14421 13255/14422 13245/14380 +f 13261/14421 13251/14376 13247/14379 13257/14423 +f 13295/14424 13246/14374 13256/14253 13296/14256 +f 13250/14370 13260/14254 13256/14253 13246/14374 +f 13260/14254 13250/14370 13244/14373 13254/14425 +f 13278/14395 13232/14385 13242/14384 13279/14426 +f 13277/14394 13222/14389 13232/14385 13278/14395 +f 13294/14427 13265/14391 13222/14389 13277/14394 +f 13263/14354 13221/14328 13197/14327 13262/14355 +f 13221/14328 13263/14354 13264/14390 13192/14353 +f 13192/14402 13264/14405 13270/14392 13208/14306 +f 13284/14428 13193/14339 13173/14329 13283/14429 +f 13282/14430 13175/14289 13172/14288 13283/14429 +f 12759/14093 12758/14431 11551/14412 11557/12651 +f 12758/14431 12759/14093 11560/12617 11565/14432 +f 13293/14433 13162/14334 13169/14337 13292/14434 +f 13292/14434 13169/14337 13189/14342 13291/14435 +f 13275/14399 13206/14319 13188/14318 13291/14435 +f 13290/14398 13187/14321 13206/14319 13275/14399 +f 13289/14436 13219/14322 13187/14321 13290/14398 +f 13289/14436 13218/14323 13190/14351 13288/14437 +f 13288/14437 13190/14351 13179/14343 13286/14396 +f 13286/14396 13179/14343 13178/14344 13281/14397 +f 11598/12616 11591/14438 11565/14432 11560/12617 +f 11591/14438 11598/12616 11548/12661 11524/14439 +f 13280/14440 13181/14345 13180/14346 13276/14441 +f 13274/14415 13197/14327 13184/14311 13276/14441 +f 13268/14358 13209/14340 13193/14339 13267/14359 +f 13208/14306 13270/14392 13265/14391 13194/14307 +f 13284/14428 13294/14427 13267/14359 13193/14339 +f 13273/14416 13266/14393 13226/14387 13272/14442 +f 13272/14442 13226/14387 13236/14375 13287/14443 +f 13287/14443 13236/14375 13246/14374 13295/14424 +f 13248/14366 13258/14444 13254/14445 13244/14419 +f 13258/14444 13248/14366 13243/14369 13253/14446 +f 13279/14426 13285/14447 13253/14446 13243/14369 +f 13191/14350 13288/14437 13286/14396 13183/14315 +f 13177/14332 13282/14430 13283/14429 13173/14329 +f 13165/14296 13293/14433 13292/14434 13168/14297 +f 13219/14322 13289/14436 13288/14437 13191/14350 +f 13262/14355 13273/14416 13272/14442 13227/14356 +f 13194/14307 13284/14428 13283/14429 13172/14288 +f 13227/14356 13272/14442 13287/14443 13237/14378 +f 13237/14378 13287/14443 13295/14424 13247/14379 +f 13233/14368 13278/14395 13279/14426 13243/14369 +f 13267/14359 13294/14427 13277/14394 13223/14360 +f 13182/14310 13280/14440 13276/14441 13184/14311 +f 13247/14379 13295/14424 13296/14256 13257/14423 +f 13194/14307 13265/14391 13294/14427 13284/14428 +f 13197/14327 13274/14415 13273/14416 13262/14355 +f 13218/14323 13289/14436 13290/14398 13186/14324 +f 11524/12663 11548/14157 11586/12583 11575/12588 +f 11575/12588 11586/12583 11547/12582 11525/12589 +f 13168/14297 13292/14434 13291/14435 13188/14318 +f 12773/14084 12772/14085 11525/12589 11547/12582 +f 13196/14352 13274/14415 13276/14441 13180/14346 +f 13242/14384 13252/14410 13285/14447 13279/14426 +f 13207/14341 13275/14399 13291/14435 13189/14342 +f 13285/14447 13150/13999 12736/13997 13253/14446 +f 13150/13999 13285/14447 13252/14410 12737/13722 +f 13253/14446 12736/13997 12732/13746 13258/14444 +f 12738/13745 13254/14445 13258/14444 12732/13746 +f 13254/14425 12738/13740 12734/13739 13260/14254 +f 12737/13722 13252/14410 13259/14409 12733/13723 +f 13255/14420 12739/13744 12733/13723 13259/14409 +f 12739/13741 13255/14422 13261/14421 12735/13735 +f 13257/14423 13151/13736 12735/13735 13261/14421 +f 13145/14000 12745/13725 12753/13727 13297/13730 +f 12744/13996 13145/14000 13297/13730 12752/13998 +f 13330/14448 12792/13858 12795/13860 13316/14272 +f 13331/13732 12791/13856 12792/13858 13330/14448 +f 13304/13731 12790/13831 12791/13856 13331/13732 +f 13299/14257 13151/13736 13257/14423 13296/14256 +f 13151/13736 13299/14257 13298/14255 12734/13739 +f 12742/13738 13118/13733 13151/13736 12734/13739 +f 12752/13998 13297/13730 13331/13732 13330/14448 +f 13318/14281 12864/14108 12862/14109 13317/14273 +f 12850/13994 13300/14258 13301/14259 12848/13985 +f 12848/13985 13301/14259 13305/14261 12847/13909 +f 12779/14076 13306/14262 13305/14261 12390/13365 +f 12785/13905 13306/14262 13307/14263 12784/13904 +f 12784/13904 13307/14263 13308/14264 12799/13895 +f 13121/13772 13309/14265 13308/14264 12462/13459 +f 12798/13893 13309/14265 13310/14266 12787/13890 +f 12593/13589 13311/14267 13310/14266 12461/13450 +f 12786/13889 13311/14267 13312/14268 12797/13887 +f 12592/13583 13313/14269 13312/14268 13097/14111 +f 12796/13885 13313/14269 13314/14270 12789/13883 +f 12789/13883 13314/14270 13315/14271 12788/13872 +f 12788/13872 13315/14271 13316/14272 12795/13860 +f 12793/13827 13303/14260 13302/14449 12794/13828 +f 12849/14006 13319/14275 13300/14258 12850/13994 +f 12397/13360 13319/14275 13320/14276 12393/13361 +f 12878/14009 13321/14277 13320/14276 12885/14007 +f 12767/14095 13321/14277 13322/14278 12394/13362 +f 12394/13362 13322/14278 13323/14279 12466/13452 +f 12750/13750 12731/13717 12727/13716 13117/14450 +f 13102/14191 13325/14282 13324/14280 12727/13716 +f 12863/14070 13325/14282 13326/14283 12884/14069 +f 12597/13586 13327/14284 13326/14283 12726/13715 +f 13155/14196 13328/14285 13327/14284 12597/13586 +f 13138/14100 13329/14286 13328/14285 13155/14196 +f 12881/14039 13329/14286 13323/14279 12880/14038 +f 12729/13712 12748/13754 12752/13998 12722/13713 +f 13330/14448 13316/14272 12722/13713 12752/13998 +f 12749/13726 13303/14260 13304/13731 12753/13727 +f 12755/13753 13302/14449 13303/14260 12749/13726 +f 13302/14274 12755/13752 12751/13751 13317/14273 +f 12750/13750 13117/14450 13118/13733 12742/13738 +f 12743/13734 13118/13733 13117/14450 12751/13751 +f 12727/13716 13324/14280 13318/14281 13117/14450 +f 13117/14450 13318/14281 13317/14273 12751/13751 +f 13052/14055 13059/14062 13332/14451 13060/14068 +f 13057/14052 13053/14051 13069/14065 13070/14067 +f 13066/14061 13069/14065 13332/14451 13059/14062 +f 13053/14051 13060/14068 13332/14451 13069/14065 +f 12904/13907 12907/12705 12906/12687 12903/13902 +f 12903/13902 12906/12687 12905/12686 12902/13780 +f 12902/13780 12905/12686 12942/13455 12948/13781 +f 12948/13781 12942/13455 12945/12505 12949/13869 +f 12949/13869 12945/12505 12944/12504 12950/13870 +f 12941/14031 12947/13931 12950/13870 12944/12504 +f 12943/14032 12946/13933 12947/13931 12941/14031 +f 12972/14033 12985/13963 12946/13933 12943/14032 +f 12985/13955 12972/14037 12965/14036 12963/13939 +f 12963/13939 12965/14036 11455/13941 11457/12561 +f 11457/12561 11455/13941 11437/12541 11439/12543 +f 13014/12536 11436/12537 11454/13995 13015/12556 +f 11401/12485 13013/12522 11427/12524 11398/12491 +f 13013/12522 11401/12485 11400/12484 11430/12523 +f 11430/12523 11400/12484 11410/12489 11429/12553 +f 11405/12488 11438/12544 11429/12553 11410/12489 +f 13011/12479 11389/14452 11408/12538 13012/12490 +f 11411/12497 11409/12540 11390/14198 11392/12465 +f 11392/12465 11390/14198 11371/14200 11373/12460 +f 13010/12452 11370/14453 11389/14452 13011/12479 +f 13009/12443 11351/14454 11370/14453 13010/12452 +f 11373/12460 11371/14200 11352/14202 11354/12429 +f 11354/12429 11352/14202 11333/14204 11335/12422 +f 11335/12422 11333/14204 11314/14206 11316/12409 +f 11295/14208 11297/12386 11316/12409 11314/14206 +f 11297/12386 11295/14208 11276/14210 11278/12372 +f 11257/14212 11259/12347 11278/12372 11276/14210 +f 11259/12347 11257/14212 11238/14214 11240/12336 +f 11240/12336 11238/14214 11219/14216 11221/12309 +f 11221/12309 11219/14216 11200/14218 11202/12300 +f 11181/14220 11183/12273 11202/12300 11200/14218 +f 11183/12273 11181/14220 11162/14222 11164/12263 +f 11164/12263 11162/14222 11143/14224 11145/12262 +f 13349/14455 11120/14456 11125/14457 13348/14234 +f 13349/14455 11101/14458 11100/14459 13350/14460 +f 11082/12193 11101/14458 11106/14233 11087/12194 +f 11101/14458 11082/12193 11081/12192 11100/14459 +f 11067/14236 11069/12170 11088/12198 11086/14237 +f 11069/12170 11067/14236 11045/14240 11050/12162 +f 11041/14242 11049/12161 11050/12162 11045/14240 +f 11033/14244 11046/12160 11049/12161 11041/14242 +f 11046/12160 11033/14244 11005/14246 10896/12021 +f 11001/14248 10897/12022 10896/12021 11005/14246 +f 10997/14250 10898/12023 10897/12022 11001/14248 +f 4377/14252 4268/12024 10898/12023 10997/14250 +f 10996/14461 12988/13979 6432/6778 4375/7265 +f 12988/13979 10996/14461 11000/14462 12933/13980 +f 12933/13980 11000/14462 11004/14463 12990/12149 +f 11032/14464 12991/12147 12990/12149 11004/14463 +f 11040/14465 12992/12154 12991/12147 11032/14464 +f 11044/14466 12993/12157 12992/12154 11040/14465 +f 12993/12157 11044/14466 11066/14467 12994/12163 +f 12994/12163 11066/14467 11085/14468 12995/12195 +f 11079/12185 11098/14469 11100/14459 11081/12192 +f 11072/12184 11091/12200 11098/14469 11079/12185 +f 13351/14470 11117/14471 11119/14472 13350/14460 +f 13352/12199 11110/14473 11117/14471 13351/14470 +f 12998/12253 11142/14474 11161/14475 12999/12252 +f 11180/14476 13000/12282 12999/12252 11161/14475 +f 13000/12282 11180/14476 11199/14477 13001/12296 +f 11218/14478 13002/12318 13001/12296 11199/14477 +f 13002/12318 11218/14478 11237/14479 13003/12332 +f 11256/14480 13004/12355 13003/12332 11237/14479 +f 13004/12355 11256/14480 11275/14481 13005/12368 +f 13005/12368 11275/14481 11294/14482 13006/12376 +f 13006/12376 11294/14482 11313/14483 13007/12406 +f 13007/12406 11313/14483 11332/14484 13008/12412 +f 13008/12412 11332/14484 11351/14454 13009/12443 +f 13120/13767 13090/14118 12487/13502 12472/13503 +f 13090/14118 13120/13767 12475/13471 12485/13464 +f 12509/13470 12514/13465 12485/13464 12475/13471 +f 12515/13501 12508/13504 12472/13503 12487/13502 +f 12484/14126 12473/13468 12508/13504 12515/13501 +f 12525/13474 12524/14485 12473/14486 12484/13475 +f 12524/14485 12525/13474 12491/13513 12488/14487 +f 13074/14192 13076/14488 12488/14487 12491/13513 +f 13076/14488 13074/14192 12492/13481 12495/14489 +f 12523/13480 12520/14490 12495/14489 12492/13481 +f 12520/14490 12523/13480 12486/13515 12474/14491 +f 12474/13517 12486/14158 12514/13465 12509/13470 +f 13141/14182 13104/14181 12617/13632 12602/13633 +f 13104/14181 13141/14182 12605/13601 12615/13594 +f 12639/13600 12644/13595 12615/13594 12605/13601 +f 12604/13647 12616/14013 12644/13595 12639/13600 +f 12650/14492 12653/13610 12616/13645 12604/14493 +f 12653/13610 12650/14492 12625/14494 12622/13611 +f 13095/14495 13094/14187 12622/13611 12625/14494 +f 13094/14187 13095/14495 12618/14496 12621/13643 +f 12654/14497 12655/13604 12621/13643 12618/14496 +f 12655/13604 12654/14497 12603/14498 12614/13605 +f 12614/14022 12603/13598 12638/13634 12645/13631 +f 12645/13631 12638/13634 12602/13633 12617/13632 +f 13205/14331 13198/14335 13162/14334 13177/14332 +f 13174/14413 13163/14293 13198/14335 13205/14331 +f 13215/14302 13214/14499 13163/14500 13174/14303 +f 13214/14499 13215/14302 13181/14345 13178/14501 +f 13280/14440 13281/14502 13178/14501 13181/14345 +f 13281/14502 13280/14440 13182/14310 13185/14503 +f 13213/14309 13210/14504 13185/14503 13182/14310 +f 13210/14504 13213/14309 13176/14347 13164/14505 +f 13164/14349 13176/14400 13204/14290 13199/14295 +f 13199/14295 13204/14290 13175/14289 13165/14296 +f 13282/14430 13293/14433 13165/14296 13175/14289 +f 13293/14433 13282/14430 13177/14332 13162/14334 +f 11096/14231 11077/12191 11087/12194 11106/14233 +f 11097/14230 11078/12186 11077/12191 11096/14231 +f 11078/12186 11097/14230 11094/14225 11075/12187 +f 11095/12228 11076/12196 11075/12187 11094/14225 +f 11092/12227 11073/12183 11076/12196 11095/12228 +f 11073/12183 11092/12227 11093/12222 11074/12181 +f 11089/12220 11070/12182 11074/12181 11093/12222 +f 11090/12218 11071/12188 11070/12182 11089/12220 +f 11107/12217 11088/12198 11071/12188 11090/12218 +f 11088/12198 11107/12217 11105/12215 11086/14237 +f 11104/12214 11085/14238 11086/14237 11105/12215 +f 11085/14468 11104/14506 12996/14507 12995/12195 +f 12995/12195 12996/14507 11103/14508 11084/12189 +f 11084/12189 11103/14508 11102/12204 11083/12190 +f 11099/12201 11080/12197 11083/12190 11102/12204 +f 11091/12200 11072/12184 11080/12197 11099/12201 +f 11110/14473 11129/12256 11136/12247 11117/14471 +f 11117/14471 11136/12247 11138/12246 11119/14472 +f 11139/12251 11120/14456 11119/14472 11138/12246 +f 11120/14456 11139/12251 11144/12250 11125/14457 +f 11134/12242 11115/14509 11125/14457 11144/12250 +f 11135/12233 11116/14228 11115/14509 11134/12242 +f 11116/14228 11135/12233 11132/12232 11113/14229 +f 11133/12254 11114/14510 11113/14229 11132/12232 +f 11130/12260 11111/12225 11114/14510 11133/12254 +f 11111/12225 11130/12260 11131/12264 11112/12226 +f 11127/12235 11108/14511 11112/12226 11131/12264 +f 11128/12234 11109/14512 11108/14511 11127/12235 +f 11145/12262 11126/14513 11109/14512 11128/12234 +f 11143/14224 11124/14514 11126/14513 11145/12262 +f 11124/14514 11143/14224 11142/14223 11123/14515 +f 11123/12211 11142/14474 12998/12253 12997/12209 +f 12997/12209 12998/12253 11141/12241 11122/12206 +f 11122/12206 11141/12241 11140/12240 11121/12207 +f 11137/12257 11118/14516 11121/12207 11140/12240 +f 11129/12256 11110/14473 11118/14516 11137/12257 +f 11110/14473 13352/12199 13333/12202 11118/14516 +f 11121/12207 11118/14516 13333/12202 13334/12203 +f 11103/14508 13335/12205 13334/12203 11102/12204 +f 12996/14507 13336/12208 13335/12205 11103/14508 +f 12996/14507 11104/14506 13337/12210 13336/12208 +f 11124/14514 11123/14515 13337/12213 13338/12212 +f 11126/14513 11124/14514 13338/12212 13339/12216 +f 11126/14513 13339/12216 13340/12219 11109/14512 +f 11109/14512 13340/12219 13341/12221 11108/14511 +f 11108/14511 13341/12221 13342/12223 11112/12226 +f 11092/12227 13343/12224 13342/12223 11093/12222 +f 11111/12225 13343/12224 13344/12229 11114/14510 +f 11114/14510 13344/12229 13345/14226 11113/14229 +f 11097/14230 13346/14227 13345/14226 11094/14225 +f 11116/14228 13346/14227 13347/14232 11115/14509 +f 11115/14509 13347/14232 13348/14234 11125/14457 +f 11101/14458 13349/14455 13348/14234 11106/14233 +f 11120/14456 13349/14455 13350/14460 11119/14472 +f 11098/14469 13351/14470 13350/14460 11100/14459 +f 11091/12200 13352/12199 13351/14470 11098/14469 +f 6785/7324 6786/7323 13353/8439 13354/8438 +f 7753/8528 7754/8497 13355/8443 13356/8442 +f 7752/8520 7753/8528 13356/8442 13357/8446 +f 7751/8510 7752/8520 13357/8446 13358/8448 +f 7750/8500 7751/8510 13358/8448 13359/8450 +f 7766/8533 7749/8440 13353/8439 13360/8452 +f 7772/8535 7771/8530 13361/8454 13362/8453 +f 6887/7389 6848/7396 13364/8456 13365/8455 +f 7771/8530 7770/8522 13366/8459 13361/8454 +f 11718/8516 7765/8515 13363/8461 13379/8460 +f 7770/8522 7769/8457 13364/8456 13366/8459 +f 7763/8488 7764/8506 13368/8465 13369/8464 +f 7773/8458 7768/8504 13370/8468 13365/8455 +f 7762/8489 7763/8488 13369/8464 13371/8469 +f 7768/8504 7767/8503 13372/8471 13370/8468 +f 7767/8503 7766/8533 13360/8452 13372/8471 +f 7759/8493 7760/8492 13374/8473 13375/8472 +f 11717/8526 7758/8525 13367/8477 13380/8476 +f 7756/8508 7757/8518 13376/8481 13377/8480 +f 7748/8441 7750/8500 13359/8450 13354/8438 +f 7755/8496 7756/8508 13377/8480 13378/8484 +f 7754/8497 7755/8496 13378/8484 13355/8443 +f 6818/8475 6815/8478 13367/8477 13375/8472 +f 7764/8506 11718/8516 13379/8460 13368/8465 +f 7757/8518 11717/8526 13380/8476 13376/8481 +f 6826/12950 6821/8474 13374/8473 13373/12949 +f 6829/8470 6826/12950 13373/12949 13371/8469 +f 6857/7405 6838/8462 13363/8461 13362/8453 +f 11925/11523 10418/11522 3751/4291 5321/4290 +f 7002/7550 228/237 221/231 6996/7543 +f 7280/7858 541/696 524/695 7265/7836 +f 7243/7832 494/702 495/707 7244/7833 +f 7261/7824 514/716 496/719 7245/7825 +f 493/732 7242/7831 7246/7826 497/729 +f 7242/7831 493/732 5338/1165 11941/7827 +f 7241/7828 492/1164 725/1166 7447/8038 +f 11772/12778 7454/8419 734/5565 5163/5607 +f 11782/12819 11825/12777 5212/5606 5172/5630 +f 11898/8428 11831/12818 5226/5629 5297/5686 +f 8207/9024 1525/1786 1527/1788 8208/9025 +f 8566/9390 1894/2156 4089/4643 10735/11869 +f 10760/11883 4112/4658 4117/4667 10763/11888 +f 7016/12755 11805/12862 5193/5656 245/5541 +f 4003/11762 10662/11760 10675/11776 4017/11791 +f 8155/9015 1468/9032 1492/9006 8178/9005 +f 7283/7865 538/14517 555/7892 7298/7866 +f 7268/7843 521/555 538/559 7283/7856 +g helper-tights +f 15373/14518 15332/14519 15329/14520 15379/14521 +f 15346/14522 15331/14523 15332/14524 15373/14525 +f 15345/14526 15335/14527 15339/14528 15349/14529 +f 15349/14529 15339/14528 15341/14530 15351/14531 +f 15335/14527 15345/14526 15350/14532 15340/14533 +f 15331/14523 15330/14534 15336/14535 15347/14536 +f 15345/14526 15358/14537 15361/14538 15350/14532 +f 15358/14537 15345/14526 15349/14529 15360/14539 +f 15360/14539 15349/14529 15351/14531 15362/14540 +f 15385/14541 15375/14542 15361/14543 15358/14544 +f 15367/14545 15363/14546 15383/14547 15382/14548 +f 15390/14549 15353/14550 15367/14551 15391/14552 +f 15371/14553 15368/14554 15347/14536 15343/14555 +f 15370/14556 15369/14557 15344/14558 15357/14559 +f 15369/14557 15371/14553 15343/14555 15344/14558 +f 15378/14560 15380/14561 15368/14562 15371/14563 +f 15388/14564 15381/14565 15369/14566 15370/14567 +f 15381/14565 15378/14560 15371/14563 15369/14566 +f 15331/14523 15347/14536 15368/14554 15332/14524 +f 15391/14568 15367/14545 15382/14548 15392/14569 +f 15332/14519 15368/14562 15380/14561 15329/14520 +f 15360/14570 15362/14571 15387/14572 15386/14573 +f 15353/14550 15352/14574 15363/14575 15367/14551 +f 15358/14544 15360/14570 15386/14573 15385/14541 +f 15351/14531 15341/14530 15342/14576 15356/14577 +f 15384/14578 15366/14579 15391/14580 15392/14581 +f 15366/14582 15354/14583 15390/14584 15391/14585 +f 15384/14578 15377/14586 15372/14587 15366/14579 +f 15366/14582 15372/14588 15355/14589 15354/14583 +f 15383/14547 15363/14546 15361/14543 15375/14542 +f 15350/14532 15361/14538 15363/14575 15352/14574 +f 15356/14577 15364/14590 15362/14540 15351/14531 +f 15387/14572 15362/14571 15364/14591 15374/14592 +f 15388/14564 15370/14567 15372/14587 15377/14586 +f 15370/14556 15357/14559 15355/14589 15372/14588 +f 15365/14593 15376/14594 15359/14595 15334/14596 +f 15348/14597 15333/14598 15334/14599 15359/14600 +f 15333/14598 15348/14597 15338/14601 15337/14602 +f 15342/14576 15338/14601 15348/14597 15356/14577 +f 15356/14577 15348/14597 15359/14600 15364/14590 +f 15376/14594 15374/14592 15364/14591 15359/14595 +f 15373/14525 15334/14599 15333/14598 15346/14522 +f 15379/14521 15365/14593 15334/14596 15373/14518 +f 15412/14603 15407/14604 15406/14605 15411/14606 +f 15541/14607 15540/14608 15404/14609 15410/14610 +f 16611/14611 16613/14612 15442/14613 15416/14614 +f 15399/14615 15474/14616 15473/14617 15400/14618 +f 15417/14619 15405/14620 15416/14614 15418/14621 +f 16614/14622 16624/14623 15425/14624 15440/14625 +f 15420/14626 15415/14627 15414/14628 15419/14629 +f 15422/14630 15420/14626 15419/14629 15421/14631 +f 15424/14632 15422/14630 15421/14631 15423/14633 +f 16622/14634 16623/14635 15426/14636 15428/14637 +f 16621/14638 16622/14634 15428/14637 15430/14639 +f 16616/14640 16621/14638 15430/14639 15432/14641 +f 16615/14642 16616/14640 15432/14641 15434/14643 +f 15438/14644 15431/14645 15433/14646 15439/14647 +f 15437/14648 15429/14649 15431/14645 15438/14644 +f 15436/14650 15427/14651 15429/14649 15437/14648 +f 16613/14612 16614/14622 15440/14625 15442/14613 +f 15462/14652 15467/14653 15480/14654 15393/14655 +f 15527/14656 15405/14657 15417/14658 15526/14659 +f 15408/14660 15407/14604 15412/14603 15413/14661 +f 15433/14646 15409/14662 15435/14663 15439/14647 +f 15455/14664 15440/14625 15425/14624 15441/14665 +f 16610/14666 16619/14667 15471/14668 15402/14669 +f 15416/14614 15442/14613 15451/14670 15418/14621 +f 15440/14625 15455/14664 15451/14670 15442/14613 +f 15447/14671 15444/14672 15443/14673 15446/14674 +f 15450/14675 15447/14671 15446/14674 15449/14676 +f 15454/14677 15450/14675 15449/14676 15453/14678 +f 15467/14653 15462/14652 15394/14679 15479/14680 +f 15419/14629 15414/14628 15445/14681 15448/14682 +f 15421/14631 15419/14629 15448/14682 15452/14683 +f 15423/14633 15421/14631 15452/14683 15456/14684 +f 15464/14685 15465/14686 15478/14687 15395/14688 +f 15434/14643 15432/14641 15446/14674 15443/14673 +f 15432/14641 15430/14639 15449/14676 15446/14674 +f 15430/14639 15428/14637 15453/14678 15449/14676 +f 15428/14637 15426/14636 15454/14677 15453/14678 +f 15441/14665 15425/14624 15458/14689 15459/14690 +f 16612/14691 16624/14623 15424/14632 15457/14692 +f 15424/14632 15423/14633 15456/14684 15457/14692 +f 15469/14693 15460/14694 15403/14695 15470/14696 +f 15465/14686 15464/14685 15393/14655 15480/14654 +f 15460/14694 15469/14693 15468/14697 15461/14698 +f 15474/14616 15399/14615 15461/14698 15468/14697 +f 15477/14699 15396/14700 15395/14688 15478/14687 +f 15475/14701 15398/14702 15463/14703 15466/14704 +f 15402/14669 15471/14668 15470/14696 15403/14695 +f 15476/14705 15397/14706 15396/14700 15477/14699 +f 16609/14707 16620/14708 15472/14709 15401/14710 +f 15479/14711 15394/14679 15401/14710 15472/14709 +f 15466/14704 15463/14703 15397/14706 15476/14705 +f 15486/14712 15475/14701 15466/14704 15495/14713 +f 15484/14714 15477/14699 15478/14687 15483/14715 +f 15487/14716 15474/14616 15468/14697 15493/14717 +f 15469/14693 15492/14718 15493/14717 15468/14697 +f 15496/14719 15465/14686 15480/14654 15481/14720 +f 15492/14718 15469/14693 15470/14696 15491/14721 +f 15465/14686 15496/14719 15483/14715 15478/14687 +f 15494/14722 15467/14653 15479/14680 15482/14723 +f 16619/14667 16618/14724 15490/14725 15471/14668 +f 15467/14653 15494/14722 15481/14720 15480/14654 +f 15474/14616 15487/14716 15488/14726 15473/14617 +f 15495/14713 15466/14704 15476/14705 15485/14727 +f 15482/14728 15479/14711 15472/14709 15489/14729 +f 16620/14708 16617/14730 15489/14729 15472/14709 +f 15485/14727 15476/14705 15477/14699 15484/14714 +f 15471/14668 15490/14725 15491/14721 15470/14696 +f 15498/14731 15495/14713 15485/14727 15508/14732 +f 15487/14716 15506/14733 15505/14734 15488/14726 +f 15494/14722 15499/14735 15512/14736 15481/14720 +f 16618/14724 16631/14737 15503/14738 15490/14725 +f 15499/14735 15494/14722 15482/14723 15511/14739 +f 15496/14719 15497/14740 15510/14741 15483/14715 +f 15501/14742 15492/14718 15491/14721 15502/14743 +f 15497/14740 15496/14719 15481/14720 15512/14736 +f 15492/14718 15501/14742 15500/14744 15493/14717 +f 15506/14733 15487/14716 15493/14717 15500/14744 +f 15509/14745 15484/14714 15483/14715 15510/14741 +f 15507/14746 15486/14712 15495/14713 15498/14731 +f 15490/14725 15503/14738 15502/14743 15491/14721 +f 15508/14732 15485/14727 15484/14714 15509/14745 +f 16617/14730 16632/14747 15504/14748 15489/14729 +f 15511/14749 15482/14728 15489/14729 15504/14748 +f 15516/14750 15509/14745 15510/14741 15515/14751 +f 15519/14752 15506/14733 15500/14744 15525/14753 +f 15499/14735 15528/14754 15513/14755 15512/14736 +f 15404/14609 15527/14656 15526/14659 15410/14610 +f 15532/14756 15497/14740 15512/14736 15513/14755 +f 15524/14757 15501/14742 15502/14743 15523/14758 +f 15529/14759 15498/14731 15508/14732 15517/14760 +f 15528/14754 15499/14735 15511/14739 15514/14761 +f 16631/14737 16630/14762 15522/14763 15503/14738 +f 16632/14747 16629/14764 15521/14765 15504/14748 +f 15506/14733 15519/14752 15520/14766 15505/14734 +f 15518/14767 15507/14746 15498/14731 15529/14759 +f 15514/14768 15511/14749 15504/14748 15521/14765 +f 15501/14742 15524/14757 15525/14753 15500/14744 +f 15517/14760 15508/14732 15509/14745 15516/14750 +f 15503/14738 15522/14763 15523/14758 15502/14743 +f 15408/14660 15413/14661 15531/14769 15530/14770 +f 15497/14740 15532/14756 15515/14751 15510/14741 +f 16629/14764 16628/14771 15542/14772 15521/14765 +f 15549/14773 15514/14768 15521/14765 15542/14772 +f 15534/14774 15529/14759 15517/14760 15546/14775 +f 15519/14752 15544/14776 15543/14777 15520/14766 +f 15528/14754 15535/14778 15550/14779 15513/14755 +f 16630/14762 16627/14780 15539/14781 15522/14763 +f 15535/14778 15528/14754 15514/14761 15549/14782 +f 15532/14756 15533/14783 15548/14784 15515/14751 +f 15537/14785 15524/14757 15523/14758 15538/14786 +f 15411/14606 15406/14605 15540/14608 15541/14607 +f 15533/14783 15532/14756 15513/14755 15550/14779 +f 15524/14757 15537/14785 15536/14787 15525/14753 +f 15448/14682 15445/14681 15444/14672 15447/14671 +f 15447/14671 15450/14675 15452/14683 15448/14682 +f 15450/14675 15454/14677 15456/14684 15452/14683 +f 15457/14692 15456/14684 15454/14677 15426/14636 +f 16612/14691 15457/14692 15426/14636 16623/14635 +f 15427/14651 15436/14650 15459/14690 15458/14689 +f 15544/14776 15519/14752 15525/14753 15536/14787 +f 15547/14788 15516/14750 15515/14751 15548/14784 +f 15545/14789 15518/14767 15529/14759 15534/14774 +f 15522/14763 15539/14781 15538/14786 15523/14758 +f 15546/14775 15517/14760 15516/14750 15547/14788 +f 15527/14656 15535/14778 15549/14782 15405/14657 +f 15535/14778 15527/14656 15404/14609 15550/14779 +f 15411/14606 15541/14607 15375/14542 15385/14541 +f 15385/14541 15386/14573 15412/14603 15411/14606 +f 15541/14607 15410/14610 15383/14547 15375/14542 +f 15382/14548 15383/14547 15410/14610 15526/14659 +f 15386/14573 15387/14572 15413/14661 15412/14603 +f 15531/14769 15413/14661 15387/14572 15374/14592 +f 15376/14594 15365/14593 15439/14647 15435/14663 +f 15438/14644 15439/14647 15365/14593 15379/14521 +f 15437/14648 15438/14644 15379/14521 15329/14520 +f 15392/14569 15382/14548 15526/14659 15417/14658 +f 15384/14578 15392/14581 15417/14619 15418/14621 +f 15418/14621 15451/14670 15377/14586 15384/14578 +f 15451/14670 15455/14664 15388/14564 15377/14586 +f 15455/14664 15441/14665 15381/14565 15388/14564 +f 15329/14520 15380/14561 15436/14650 15437/14648 +f 15441/14665 15459/14690 15378/14560 15381/14565 +f 15414/14628 15544/14776 15536/14787 15445/14681 +f 15409/14662 15545/14789 15534/14774 15530/14770 +f 15537/14785 15444/14672 15445/14681 15536/14787 +f 15444/14672 15537/14785 15538/14786 15443/14673 +f 15408/14660 15546/14775 15547/14788 15407/14604 +f 16627/14780 16615/14642 15434/14643 15539/14781 +f 15530/14770 15534/14774 15546/14775 15408/14660 +f 15539/14781 15434/14643 15443/14673 15538/14786 +f 15407/14604 15547/14788 15548/14784 15406/14605 +f 15533/14783 15540/14608 15406/14605 15548/14784 +f 15544/14776 15414/14628 15415/14627 15543/14777 +f 16628/14771 16611/14611 15416/14614 15542/14772 +f 15540/14608 15533/14783 15550/14779 15404/14609 +f 15405/14620 15549/14773 15542/14772 15416/14614 +f 15374/14592 15376/14594 15435/14663 15531/14769 +f 15530/14770 15531/14769 15435/14663 15409/14662 +f 15551/14790 15401/14710 15394/14679 15462/14652 +f 15398/14702 15552/14791 15397/14706 15463/14703 +f 15464/14685 15556/14792 15553/14793 15393/14655 +f 15396/14700 15555/14794 15554/14795 15395/14688 +f 15556/14792 15464/14685 15395/14688 15554/14795 +f 15462/14652 15393/14655 15553/14793 15551/14790 +f 15552/14791 15555/14794 15396/14700 15397/14706 +f 16626/14796 16609/14707 15401/14710 15551/14790 +f 16610/14666 15402/14669 15403/14695 16625/14797 +f 15554/14795 15555/14794 15553/14793 15556/14792 +f 16608/14798 16607/14799 15553/14793 15555/14794 +f 16608/14798 16625/14797 15403/14695 15460/14694 +f 16626/14796 16607/14799 15461/14698 15399/14615 +f 15459/14690 15436/14650 15380/14561 15378/14560 +f 15580/14800 15573/14801 15574/14802 15581/14803 +f 15573/14801 15566/14804 15567/14805 15574/14802 +f 15566/14804 15559/14806 15560/14807 15567/14805 +f 15559/14806 15597/14808 15598/14809 15560/14807 +f 15945/14810 15587/14811 15586/14812 15944/14813 +f 15946/14814 15609/14815 15587/14811 15945/14810 +f 15906/14816 15905/14817 15901/14818 15692/14819 +f 15901/14818 15893/14820 15622/14821 15692/14819 +f 16476/14822 16477/14823 16920/14824 16913/14825 +f 15582/14826 15576/14827 15577/14828 15583/14829 +f 15576/14827 15569/14830 15570/14831 15577/14828 +f 15569/14830 15562/14832 15563/14833 15570/14831 +f 15562/14832 15600/14834 15601/14835 15563/14833 +f 16479/14836 15582/14826 15583/14829 16478/14837 +f 15620/14838 15615/14839 15614/14840 15619/14841 +f 15619/14841 15614/14840 15613/14842 15618/14843 +f 15618/14843 15613/14842 15612/14844 15617/14845 +f 15625/14846 15626/14847 15623/14848 15622/14821 +f 15900/14849 15839/14850 16442/14851 15956/14852 +f 15628/14853 15629/14854 15626/14847 15625/14846 +f 15572/14855 15579/14856 15615/14839 15620/14838 +f 15636/14857 15620/14838 15619/14841 15635/14858 +f 15635/14858 15619/14841 15618/14843 15634/14859 +f 15634/14859 15618/14843 15617/14845 15633/14860 +f 15640/14861 15636/14857 15635/14858 15639/14862 +f 15906/14816 15907/14863 15644/14864 15643/14865 +f 15639/14862 15635/14858 15634/14859 15638/14866 +f 15638/14866 15634/14859 15633/14860 15637/14867 +f 15648/14868 15640/14861 15639/14862 15647/14869 +f 15647/14869 15639/14862 15638/14866 15646/14870 +f 15646/14870 15638/14866 15637/14867 15645/14871 +f 15727/14872 15641/14873 16464/14874 15728/14875 +f 15681/14876 15648/14868 15647/14869 15680/14877 +f 15680/14877 15647/14869 15646/14870 15682/14878 +f 15682/14878 15646/14870 15645/14871 15683/14879 +f 15687/14880 15690/14881 15600/14834 15598/14809 +f 15665/14882 15657/14883 15656/14884 15664/14885 +f 15660/14886 15661/14887 15668/14888 15667/14889 +f 15664/14885 15656/14884 15655/14890 15663/14891 +f 15663/14891 15655/14890 15654/14892 15662/14893 +f 15672/14894 15665/14882 15664/14885 15671/14895 +f 15667/14889 15668/14888 15675/14896 15674/14897 +f 15671/14895 15664/14885 15663/14891 15670/14898 +f 15670/14898 15663/14891 15662/14893 15669/14899 +f 15562/14832 15560/14807 15598/14809 15600/14834 +f 15560/14807 15562/14832 15569/14830 15567/14805 +f 15567/14805 15569/14830 15576/14827 15574/14802 +f 16541/14900 15793/14901 15816/14902 16543/14903 +f 15574/14802 15576/14827 15582/14826 15581/14803 +f 15597/14808 15688/14904 15687/14880 15598/14809 +f 16477/14823 16479/14836 16919/14905 16920/14824 +f 15600/14834 15690/14881 15689/14906 15601/14835 +f 15565/14907 15572/14855 15620/14838 15636/14857 +f 15557/14908 15565/14907 15636/14857 15640/14861 +f 15640/14861 15648/14868 15595/14909 15557/14908 +f 15685/14910 15595/14909 15648/14868 15681/14876 +f 15589/14911 15602/14912 15657/14883 15665/14882 +f 15665/14882 15672/14894 15592/14913 15589/14911 +f 15905/14817 16460/14914 15913/14915 15901/14818 +f 16545/14916 16480/14917 15769/14918 16538/14919 +f 16538/14919 15769/14918 15773/14920 16539/14921 +f 16539/14921 15773/14920 15782/14922 16540/14923 +f 16540/14923 15782/14922 15793/14901 16541/14900 +f 15703/14924 15704/14925 15715/14926 15714/14927 +f 15710/14928 15699/14929 15698/14930 15709/14931 +f 15709/14931 15698/14930 15697/14932 15708/14933 +f 15705/14934 15694/14935 15700/14936 15711/14937 +f 16533/14938 15585/14939 15586/14812 16534/14940 +f 15711/14937 15700/14936 15699/14929 15710/14928 +f 15720/14941 15709/14931 15708/14933 15719/14942 +f 15716/14943 15705/14934 15711/14937 15722/14944 +f 15722/14944 15711/14937 15710/14928 15721/14945 +f 15714/14927 15715/14926 15725/14946 15724/14947 +f 15721/14945 15710/14928 15709/14931 15720/14941 +f 16536/14948 15727/14872 15728/14875 16535/14949 +f 16535/14949 15728/14875 15729/14950 16534/14940 +f 16462/14951 15730/14952 15729/14950 16463/14953 +f 16544/14954 15908/14955 15731/14956 16532/14957 +f 15747/14958 16438/14959 15615/14839 15579/14856 +f 16439/14960 16440/14961 15613/14842 15614/14840 +f 16481/14962 16486/14963 17332/14964 17052/14965 +f 16476/14822 16913/14825 17062/14966 16483/14967 +f 15754/14968 15720/14941 15719/14942 15753/14969 +f 15750/14970 15716/14943 15722/14944 15756/14971 +f 16543/14903 15816/14902 15804/14972 16542/14973 +f 16462/14951 15958/14974 15900/14849 15851/14975 +f 15756/14971 15722/14944 15721/14945 15755/14976 +f 15759/14977 15724/14947 15725/14946 15760/14978 +f 15755/14976 15721/14945 15720/14941 15754/14968 +f 15730/14952 16462/14951 15851/14975 15908/14955 +f 15691/14979 15950/14980 15899/14981 15907/14863 +f 16187/14982 15606/14983 15611/14984 16203/14985 +f 15899/14981 15898/14986 15584/14987 15948/14988 +f 15868/14989 15857/14990 15861/14991 15873/14992 +f 15857/14990 15845/14993 15850/14994 15861/14991 +f 15845/14993 15834/14995 15838/14996 15850/14994 +f 15827/14997 15838/14996 15834/14995 15823/14998 +f 15792/14999 15781/15000 15780/15001 15791/15002 +f 15795/15003 15784/15004 15785/15005 15796/15006 +f 15791/15002 15780/15001 15779/15007 15790/15008 +f 15790/15008 15779/15007 15778/15009 15789/15010 +f 15786/15011 15775/15012 15781/15000 15792/14999 +f 15823/14998 15812/15013 15817/15014 15827/14997 +f 15759/14977 15924/15015 15923/15016 15724/14947 +f 15812/15013 15800/15017 15805/15018 15817/15014 +f 16379/15019 16363/15020 15575/15021 15678/15022 +f 15807/15023 15795/15003 15796/15006 15808/15024 +f 15802/15025 15791/15002 15790/15008 15801/15026 +f 15801/15026 15790/15008 15789/15010 15800/15017 +f 15797/15027 15786/15011 15792/14999 15803/15028 +f 15805/15018 15800/15017 15789/15010 15794/15029 +f 15723/15030 15923/15031 15924/15032 15757/15033 +f 15794/15029 15789/15010 15778/15009 15783/15034 +f 16363/15020 16347/15035 15568/15036 15575/15021 +f 16347/15035 16331/15037 15561/15038 15568/15036 +f 15803/15028 15792/14999 15791/15002 15802/15025 +f 15813/15039 15801/15026 15800/15017 15812/15013 +f 15809/15040 15797/15027 15803/15028 15815/15041 +f 15922/15042 15714/14927 15724/14947 15923/15016 +f 15784/15004 15771/15043 15772/15044 15785/15005 +f 16331/15037 16315/15045 15935/15046 15561/15038 +f 15815/15041 15803/15028 15802/15025 15814/15047 +f 15818/15048 15807/15023 15808/15024 15819/15049 +f 15814/15047 15802/15025 15801/15026 15813/15039 +f 15820/15050 15809/15040 15815/15041 15826/15051 +f 15923/15031 15723/15030 15712/15052 15922/15053 +f 16299/15054 16283/15055 15915/15056 15916/15057 +f 15826/15051 15815/15041 15814/15047 15825/15058 +f 15829/15059 15818/15048 15819/15049 15830/15060 +f 15825/15058 15814/15047 15813/15039 15824/15061 +f 15824/15061 15813/15039 15812/15013 15823/14998 +f 15714/14927 15922/15042 15921/15062 15703/14924 +f 15757/15033 15753/14969 15719/14942 15723/15030 +f 16283/15055 16267/15063 15914/15064 15915/15056 +f 15837/15065 15826/15051 15825/15058 15836/15066 +f 15840/15067 15829/15059 15830/15060 15841/15068 +f 15836/15066 15825/15058 15824/15061 15835/15069 +f 15835/15069 15824/15061 15823/14998 15834/14995 +f 15831/15070 15820/15050 15826/15051 15837/15065 +f 15723/15030 15719/14942 15708/14933 15712/15052 +f 15848/15071 15837/15065 15836/15066 15847/15072 +f 15852/15073 15840/15067 15841/15068 15853/15074 +f 15847/15072 15836/15066 15835/15069 15846/15075 +f 15846/15075 15835/15069 15834/14995 15845/14993 +f 15842/15076 15831/15070 15837/15065 15848/15071 +f 15712/15052 15708/14933 15697/14932 15701/15077 +f 15922/15053 15712/15052 15701/15077 15921/15078 +f 15703/14924 15674/14897 15675/14896 15704/14925 +f 15918/15079 15667/14889 15674/14897 15919/15080 +f 15860/15081 15848/15071 15847/15072 15859/15082 +f 15863/15083 15852/15073 15853/15074 15864/15084 +f 15859/15082 15847/15072 15846/15075 15858/15085 +f 15858/15085 15846/15075 15845/14993 15857/14990 +f 15854/15086 15842/15076 15848/15071 15860/15081 +f 15919/15080 15674/14897 15703/14924 15921/15062 +f 15921/15078 15701/15077 15673/15087 15919/15088 +f 15662/14893 15666/15089 15673/15087 15669/14899 +f 15917/15090 15660/14886 15667/14889 15918/15079 +f 15875/15091 15863/15083 15864/15084 15876/15092 +f 15870/15093 15859/15082 15858/15085 15869/15094 +f 15869/15094 15858/15085 15857/14990 15868/14989 +f 15865/15095 15854/15086 15860/15081 15871/15096 +f 15666/15089 15662/14893 15654/14892 15658/15097 +f 15697/14932 15669/14899 15673/15087 15701/15077 +f 15871/15096 15860/15081 15859/15082 15870/15093 +f 15890/15098 15855/15099 15866/15100 15891/15101 +f 15856/15102 15890/15098 15891/15101 15867/15103 +f 15855/15099 15890/15098 15892/15104 15843/15105 +f 15937/15106 15832/15107 15843/15105 15892/15104 +f 15844/15108 15892/15104 15890/15098 15856/15102 +f 15833/15109 15937/15106 15892/15104 15844/15108 +f 15937/15106 15833/15109 15822/15110 15936/15111 +f 15936/15111 15821/15112 15832/15107 15937/15106 +f 15811/15113 15938/15114 15936/15111 15822/15110 +f 15799/15115 15939/15116 15938/15114 15811/15113 +f 15788/15117 15940/15118 15939/15116 15799/15115 +f 15777/15119 15941/15120 15940/15118 15788/15117 +f 15925/15121 15771/15043 15784/15004 15926/15122 +f 15938/15114 15810/15123 15821/15112 15936/15111 +f 15770/15124 15925/15125 15926/15126 15783/15034 +f 15939/15116 15798/15127 15810/15123 15938/15114 +f 15940/15118 15787/15128 15798/15127 15939/15116 +f 15787/15128 15940/15118 15941/15120 15776/15129 +f 15778/15009 15765/15130 15770/15124 15783/15034 +f 15779/15007 15766/15131 15765/15130 15778/15009 +f 15718/15132 15888/15133 15889/15134 15752/15135 +f 15911/15136 15894/15137 15893/14820 15912/15138 +f 15910/15139 15895/15140 15894/15137 15911/15136 +f 16251/15141 16235/15142 15758/15143 15761/15144 +f 16428/15145 15828/15146 15606/14983 16187/14982 +f 16171/15147 16155/15148 15686/15149 15659/15150 +f 16085/15151 16088/15152 15702/15153 15693/15154 +f 16056/15155 16057/15156 15774/15157 15904/15158 +f 16446/15159 15966/15160 15902/15161 15839/14850 +f 15974/15162 15982/15163 15874/15164 15862/15165 +f 15966/15160 15974/15162 15862/15165 15902/15161 +f 15950/14980 15585/14939 15898/14986 15899/14981 +f 15692/14819 15691/14979 15907/14863 15906/14816 +f 15958/14974 16446/15159 15839/14850 15900/14849 +f 16533/14938 15730/14952 15908/14955 16544/14954 +f 15643/14865 15651/15166 15905/14817 15906/14816 +f 15901/14818 15913/14915 15912/15138 15893/14820 +f 15707/15167 15887/15168 15888/15133 15718/15132 +f 15696/15169 15886/15170 15887/15168 15707/15167 +f 15698/14930 15670/14898 15669/14899 15697/14932 +f 15699/14929 15671/14895 15670/14898 15698/14930 +f 15591/15171 15884/15172 15885/15173 15594/15174 +f 15884/15172 15591/15171 15604/15175 15883/15176 +f 15888/15133 15717/15177 15751/15178 15889/15134 +f 15882/15179 15883/15176 15604/15175 15688/14904 +f 15887/15168 15706/15180 15717/15177 15888/15133 +f 15882/15179 15688/14904 15597/14808 15881/15181 +f 15886/15170 15695/15182 15706/15180 15887/15168 +f 15700/14936 15672/14894 15671/14895 15699/14929 +f 15694/14935 15592/14913 15672/14894 15700/14936 +f 15884/15172 15590/15183 15593/15184 15885/15173 +f 15559/14806 15880/15185 15881/15181 15597/14808 +f 15590/15183 15884/15172 15883/15176 15603/15186 +f 15880/15185 15559/14806 15566/14804 15879/15187 +f 15684/15188 15603/15186 15883/15176 15882/15179 +f 15684/15188 15882/15179 15881/15181 15596/15189 +f 15880/15185 15558/15190 15596/15189 15881/15181 +f 16443/15191 15961/15192 15960/15193 16452/15194 +f 15839/14850 15902/15161 15964/15195 16442/14851 +f 16445/15196 15962/15197 15961/15192 16443/15191 +f 15961/15192 15969/15198 15968/15199 15960/15193 +f 15902/15161 15862/15165 15972/15200 15964/15195 +f 15962/15197 15970/15201 15969/15198 15961/15192 +f 15969/15198 15977/15202 15976/15203 15968/15199 +f 15862/15165 15874/15164 15980/15204 15972/15200 +f 15970/15201 15978/15205 15977/15202 15969/15198 +f 16018/15206 16010/15207 16015/15208 15998/15209 +f 15741/15210 16001/15211 16000/15212 15740/15213 +f 16001/15211 16005/15214 16004/15215 16000/15212 +f 15998/15209 16015/15208 15742/15216 15999/15217 +f 16011/15218 16016/15219 16012/15220 16017/15221 +f 16486/14963 16487/15222 17326/15223 17332/14964 +f 16455/15224 15743/15225 15997/15226 16466/15227 +f 15739/15228 16011/15218 16017/15221 15738/15229 +f 15879/15187 15566/14804 15573/14801 15878/15230 +f 15741/15210 15742/15216 16015/15208 16001/15211 +f 16005/15214 16001/15211 16015/15208 16010/15207 +f 15739/15228 15740/15213 16000/15212 16011/15218 +f 16000/15212 16004/15215 16016/15219 16011/15218 +f 15986/15231 16033/15232 16032/15233 15985/15234 +f 15985/15234 16032/15233 16031/15235 15984/15236 +f 15990/15237 15984/15236 16031/15235 15994/15238 +f 15903/15239 15897/15240 15990/15237 15994/15238 +f 15897/15240 15903/15239 16021/15241 15988/15242 +f 16019/15243 16020/15244 16002/15245 16006/15246 +f 16014/15247 16009/15248 16006/15246 16002/15245 +f 16013/15249 16008/15250 16009/15248 16014/15247 +f 15992/15251 16007/15252 16008/15250 16013/15249 +f 15995/15253 16003/15254 16007/15252 15992/15251 +f 16026/15255 16034/15256 16040/15257 16028/15258 +f 16024/15259 16036/15260 16035/15261 16025/15262 +f 16028/15258 16040/15257 16041/15263 16027/15264 +f 16029/15265 16039/15266 16034/15256 16026/15255 +f 16027/15264 16041/15263 16036/15260 16024/15259 +f 16020/15244 16029/15265 16026/15255 16002/15245 +f 16046/15267 16050/15268 16049/15269 16045/15270 +f 16045/15270 16049/15269 16048/15271 16044/15272 +f 16028/15258 16014/15247 16002/15245 16026/15255 +f 15904/15158 15774/15157 16043/15273 16042/15274 +f 16078/15275 16083/15276 16082/15277 16077/15278 +f 16077/15278 16082/15277 16081/15279 16076/15280 +f 15693/15154 15702/15153 16086/15281 16080/15282 +f 16515/15283 17961/15284 17962/15285 16516/15286 +f 16072/15287 16073/15288 16079/15289 16078/15275 +f 16072/15287 16078/15275 16077/15278 16071/15290 +f 16526/15291 17966/15292 17965/15293 16527/15294 +f 16525/15295 17967/15296 17966/15292 16526/15291 +f 16071/15290 16077/15278 16076/15280 16070/15297 +f 16075/15298 16070/15297 16076/15280 16085/15151 +f 16512/15299 17959/15300 17390/15301 16513/15302 +f 16054/15303 16055/15304 16061/15305 16060/15306 +f 16054/15303 16060/15306 16059/15307 16053/15308 +f 16053/15308 16059/15307 16058/15309 16052/15310 +f 16133/15311 16052/15310 16058/15309 16063/15312 +f 15806/15313 15713/15314 16133/15311 16063/15312 +f 15713/15314 15806/15313 16062/15315 16134/15316 +f 16110/15317 16105/15318 16106/15319 16111/15320 +f 16111/15320 16106/15319 16108/15321 16113/15322 +f 16113/15322 16108/15321 16107/15323 16112/15324 +f 16112/15324 16107/15323 16104/15325 16109/15326 +f 16094/15327 16109/15326 16104/15325 16091/15328 +f 16115/15329 16110/15317 16111/15320 16116/15330 +f 16116/15330 16111/15320 16113/15322 16118/15331 +f 16118/15331 16113/15322 16112/15324 16117/15332 +f 16117/15332 16112/15324 16109/15326 16114/15333 +f 16109/15326 16094/15327 16097/15334 16114/15333 +f 15693/15154 15599/15335 16075/15298 16085/15151 +f 15599/15335 15693/15154 16080/15282 16074/15336 +f 16511/15337 17379/15338 17959/15300 16512/15299 +f 16050/15268 16051/15339 16055/15304 16054/15303 +f 16050/15268 16054/15303 16053/15308 16049/15269 +f 15679/15340 15683/14879 15645/14871 15649/15341 +f 16049/15269 16053/15308 16052/15310 16048/15271 +f 16057/15156 16048/15271 16052/15310 16133/15311 +f 15713/15314 15774/15157 16057/15156 16133/15311 +f 15774/15157 15713/15314 16134/15316 16043/15273 +f 15867/15103 15876/15092 15864/15084 15856/15102 +f 15856/15102 15864/15084 15853/15074 15844/15108 +f 15844/15108 15853/15074 15841/15068 15833/15109 +f 15833/15109 15841/15068 15830/15060 15822/15110 +f 15819/15049 15811/15113 15822/15110 15830/15060 +f 15808/15024 15799/15115 15811/15113 15819/15049 +f 15649/15341 15645/14871 15637/14867 15642/15342 +f 15622/14821 15623/14848 15691/14979 15692/14819 +f 16452/15194 15960/15193 15966/15160 16446/15159 +f 15960/15193 15968/15199 15974/15162 15966/15160 +f 15968/15199 15976/15203 15982/15163 15974/15162 +f 16484/15343 16485/15344 16003/15254 15995/15253 +f 16027/15264 16013/15249 16014/15247 16028/15258 +f 16024/15259 15992/15251 16013/15249 16027/15264 +f 16044/15272 16048/15271 16057/15156 16056/15155 +f 15806/15313 15588/15345 16068/15346 16062/15315 +f 15588/15345 15599/15335 16074/15336 16068/15346 +f 16088/15152 16085/15151 16076/15280 16081/15279 +f 16103/15347 16123/15348 16122/15349 16138/15350 +f 16123/15348 16103/15347 16139/15351 16121/15352 +f 16100/15353 16141/15354 16140/15355 16120/15356 +f 16138/15350 16122/15349 16120/15356 16140/15355 +f 16147/15357 16143/15358 16142/15359 16146/15360 +f 16402/15361 16401/15362 16143/15358 16147/15357 +f 16150/15363 16151/15364 16082/15277 16083/15276 +f 16152/15365 16168/15366 16172/15367 16156/15368 +f 15659/15150 15686/15149 16156/15368 16172/15367 +f 16170/15369 16154/15370 16159/15371 16175/15372 +f 15799/15115 15808/15024 15796/15006 15788/15117 +f 16153/15373 16169/15374 16168/15366 16152/15365 +f 16180/15375 16164/15376 16163/15377 16179/15378 +f 15788/15117 15796/15006 15785/15005 15777/15119 +f 16175/15372 16159/15371 16161/15379 16177/15380 +f 16404/15381 16403/15382 16164/15376 16180/15375 +f 16154/15370 16170/15369 16176/15383 16160/15384 +f 16162/15385 16178/15386 16177/15380 16161/15379 +f 16167/15387 16183/15388 16169/15374 16153/15373 +f 16420/15389 16419/15390 16195/15391 16196/15392 +f 16421/15393 16420/15389 16196/15392 16405/15394 +f 16421/15395 16405/15396 16197/15397 16422/15398 +f 15828/15146 16427/15399 16188/15400 15606/14983 +f 15772/15044 15764/15401 15777/15119 15785/15005 +f 15752/15135 15764/15401 15772/15044 15760/14978 +f 15725/14946 15718/15132 15752/15135 15760/14978 +f 15718/15132 15725/14946 15715/14926 15707/15167 +f 16250/15402 16234/15403 16239/15404 16255/15405 +f 15704/14925 15696/15169 15707/15167 15715/14926 +f 16233/15406 16249/15407 16248/15408 16232/15409 +f 16260/15410 16244/15411 16243/15412 16259/15413 +f 15675/14896 15594/15174 15696/15169 15704/14925 +f 16255/15405 16239/15404 16241/15414 16257/15415 +f 16409/15416 16408/15417 16244/15411 16260/15410 +f 16234/15403 16250/15402 16256/15418 16240/15419 +f 16242/15420 16258/15421 16257/15415 16241/15414 +f 16247/15422 16263/15423 16249/15407 16233/15406 +f 16232/15409 16248/15408 16252/15424 16236/15425 +f 15761/15144 15758/15143 16236/15425 16252/15424 +f 16250/15402 16266/15426 16272/15427 16256/15418 +f 16272/15427 16275/15428 16259/15413 16256/15418 +f 16276/15429 16260/15410 16259/15413 16275/15428 +f 16410/15430 16409/15416 16260/15410 16276/15429 +f 16261/15431 16409/15432 16410/15433 16277/15434 +f 16277/15434 16278/15435 16262/15436 16261/15431 +f 16278/15435 16279/15437 16263/15423 16262/15436 +f 16411/15438 16410/15430 16276/15429 16292/15439 +f 16266/15426 16282/15440 16288/15441 16272/15427 +f 16274/15442 16290/15443 16289/15444 16273/15445 +f 16279/15437 16295/15446 16281/15447 16265/15448 +f 16264/15449 16280/15450 16284/15451 16268/15452 +f 15915/15056 15914/15064 16268/15452 16284/15451 +f 16282/15440 16266/15426 16271/15453 16287/15454 +f 15668/14888 15591/15171 15594/15174 15675/14896 +f 16265/15448 16281/15447 16280/15450 16264/15449 +f 16292/15439 16276/15429 16275/15428 16291/15455 +f 15591/15171 15668/14888 15661/14887 15604/15175 +f 16287/15454 16271/15453 16273/15445 16289/15444 +f 15916/15057 15915/15056 16284/15451 16300/15456 +f 16298/15457 16282/15440 16287/15454 16303/15458 +f 15604/15175 15661/14887 15676/15459 15605/15460 +f 16281/15447 16297/15461 16296/15462 16280/15450 +f 16308/15463 16292/15439 16291/15455 16307/15464 +f 15605/15460 15676/15459 15652/15465 15607/15466 +f 16303/15458 16287/15454 16289/15444 16305/15467 +f 16412/15468 16411/15438 16292/15439 16308/15463 +f 16282/15440 16298/15457 16304/15469 16288/15441 +f 16290/15443 16306/15470 16305/15467 16289/15444 +f 16295/15446 16311/15471 16297/15461 16281/15447 +f 16280/15450 16296/15462 16300/15456 16284/15451 +f 15607/15466 15652/15465 15653/15472 15608/15473 +f 15653/15472 15949/15474 15943/15475 15608/15473 +f 15872/15476 15849/15477 15943/15475 15949/15474 +f 16530/15478 15849/15477 15872/15476 16531/15479 +f 16530/15478 16531/15479 15732/15480 15733/15481 +f 16335/15482 16319/15483 16321/15484 16337/15485 +f 16414/15486 16413/15487 16324/15488 16340/15489 +f 16314/15490 16330/15491 16336/15492 16320/15493 +f 16322/15494 16338/15495 16337/15485 16321/15484 +f 16327/15496 16343/15497 16329/15498 16313/15499 +f 16312/15500 16328/15501 16332/15502 16316/15503 +f 15561/15038 15935/15046 16316/15503 16332/15502 +f 16330/15491 16314/15490 16319/15483 16335/15482 +f 15732/15480 16454/15504 16453/15505 15733/15481 +f 16313/15499 16329/15498 16328/15501 16312/15500 +f 16340/15489 16324/15488 16323/15506 16339/15507 +f 16343/15497 16359/15508 16345/15509 16329/15498 +f 16328/15501 16344/15510 16348/15511 16332/15502 +f 15568/15036 15561/15038 16332/15502 16348/15511 +f 16346/15512 16330/15491 16335/15482 16351/15513 +f 15951/15514 16453/15505 16454/15504 15957/15515 +f 16329/15498 16345/15509 16344/15510 16328/15501 +f 16356/15516 16340/15489 16339/15507 16355/15517 +f 16467/15518 16447/15519 15951/15514 15957/15515 +f 16351/15513 16335/15482 16337/15485 16353/15520 +f 16415/15521 16414/15486 16340/15489 16356/15516 +f 16330/15491 16346/15512 16352/15522 16336/15492 +f 16338/15495 16354/15523 16353/15520 16337/15485 +f 16372/15524 16356/15516 16355/15517 16371/15525 +f 16447/15519 16467/15518 15965/15526 15959/15527 +f 16367/15528 16351/15513 16353/15520 16369/15529 +f 16416/15530 16415/15521 16356/15516 16372/15524 +f 16346/15512 16362/15531 16368/15532 16352/15522 +f 16354/15523 16370/15533 16369/15529 16353/15520 +f 16359/15508 16375/15534 16361/15535 16345/15509 +f 16344/15510 16360/15536 16364/15537 16348/15511 +f 15575/15021 15568/15036 16348/15511 16364/15537 +f 16362/15531 16346/15512 16351/15513 16367/15528 +f 15973/15538 15967/15539 15959/15527 15965/15526 +f 16345/15509 16361/15535 16360/15536 16344/15510 +f 16370/15533 16386/15540 16385/15541 16369/15529 +f 16375/15534 16391/15542 16377/15543 16361/15535 +f 16360/15536 16376/15544 16380/15545 16364/15537 +f 15678/15022 15575/15021 16364/15537 16380/15545 +f 16378/15546 16362/15531 16367/15528 16383/15547 +f 15981/15548 15975/15549 15967/15539 15973/15538 +f 16361/15535 16377/15543 16376/15544 16360/15536 +f 16388/15550 16372/15524 16371/15525 16387/15551 +f 16383/15547 16367/15528 16369/15529 16385/15541 +f 16417/15552 16416/15530 16372/15524 16388/15550 +f 16362/15531 16378/15546 16384/15553 16368/15532 +f 15983/15554 15989/15555 15993/15556 15991/15557 +f 15991/15557 15993/15556 16023/15558 16022/15559 +f 16022/15559 16023/15558 16037/15560 16038/15561 +f 16393/15562 16392/15563 16376/15544 16377/15543 +f 16399/15564 16393/15562 16377/15543 16391/15542 +f 16389/15565 16397/15566 16398/15567 16390/15568 +f 16388/15550 16387/15551 16395/15569 16396/15570 +f 16038/15561 16037/15560 16135/15571 16137/15572 +f 16089/15573 16090/15574 16137/15572 16135/15571 +f 16368/15532 16384/15553 16387/15551 16371/15525 +f 16090/15574 16089/15573 16092/15575 16093/15576 +f 16093/15576 16092/15575 16095/15577 16096/15578 +f 16373/15579 16389/15565 16390/15568 16374/15580 +f 15679/15340 15658/15097 15654/14892 15683/14879 +f 15655/14890 15682/14878 15683/14879 15654/14892 +f 16371/15525 16355/15517 16352/15522 16368/15532 +f 16374/15580 16358/15581 16357/15582 16373/15579 +f 16341/15583 16357/15582 16358/15581 16342/15584 +f 16336/15492 16352/15522 16355/15517 16339/15507 +f 16320/15493 16336/15492 16339/15507 16323/15506 +f 16325/15585 16341/15583 16342/15584 16326/15586 +f 17629/15587 17235/15588 17254/15589 17645/15590 +f 16310/15591 16294/15592 16293/15593 16309/15594 +f 16288/15441 16304/15469 16307/15464 16291/15455 +f 16272/15427 16288/15441 16291/15455 16275/15428 +f 16277/15434 16293/15593 16294/15592 16278/15435 +f 16263/15423 16279/15437 16265/15448 16249/15407 +f 16249/15407 16265/15448 16264/15449 16248/15408 +f 16248/15408 16264/15449 16268/15452 16252/15424 +f 16240/15419 16256/15418 16259/15413 16243/15412 +f 15914/15064 15761/15144 16252/15424 16268/15452 +f 16262/15436 16246/15595 16245/15596 16261/15431 +f 15656/14884 15680/14877 15682/14878 15655/14890 +f 16096/15578 16095/15577 16098/15597 16099/15598 +f 16099/15598 16098/15597 16101/15599 16102/15600 +f 16160/15384 16176/15383 16179/15378 16163/15377 +f 16121/15352 16139/15351 16146/15360 16142/15359 +f 16039/15266 16136/15601 16127/15602 16034/15256 +f 16051/15339 16050/15268 16046/15267 16047/15603 +f 16165/15604 16181/15605 16182/15606 16166/15607 +f 16149/15608 16145/15609 16144/15610 16148/15611 +f 16436/15612 15630/15613 15627/15614 16437/15615 +f 16390/15568 16398/15567 16399/15564 16391/15542 +f 16391/15542 16375/15534 16374/15580 16390/15568 +f 16416/15616 16417/15617 16389/15565 16373/15579 +f 16415/15618 16416/15616 16373/15579 16357/15582 +f 16375/15534 16359/15508 16358/15581 16374/15580 +f 16359/15508 16343/15497 16342/15584 16358/15581 +f 16414/15619 16415/15618 16357/15582 16341/15583 +f 16413/15620 16414/15619 16341/15583 16325/15585 +f 16343/15497 16327/15496 16326/15586 16342/15584 +f 17235/15588 17628/15621 17644/15622 17254/15589 +f 17646/15623 17644/15622 17628/15621 17630/15624 +f 16294/15592 16310/15591 16311/15471 16295/15446 +f 16295/15446 16279/15437 16278/15435 16294/15592 +f 15761/15144 15914/15064 16267/15063 16251/15141 +f 16267/15063 16269/15625 16253/15626 16251/15141 +f 16263/15423 16247/15422 16246/15595 16262/15436 +f 16166/15607 16182/15606 16183/15388 16167/15387 +f 16145/15609 16149/15608 16151/15364 16150/15363 +f 15910/15139 15909/15627 15896/15628 15895/15140 +f 15628/14853 15895/15140 15896/15628 15631/15629 +f 15628/14853 15631/15629 15632/15630 15629/14854 +f 16148/15611 16144/15610 16401/15631 16402/15632 +f 16403/15633 16404/15634 16181/15605 16165/15604 +f 16433/15635 16432/15636 16193/15637 16191/15638 +f 16434/15639 16433/15635 16191/15638 16186/15640 +f 16408/15641 16409/15432 16261/15431 16245/15596 +f 16158/15642 16102/15600 16101/15599 16157/15643 +f 16173/15644 16174/15645 16158/15642 16157/15643 +f 16410/15433 16411/15646 16293/15593 16277/15434 +f 16411/15646 16412/15647 16309/15594 16293/15593 +f 17647/15648 17646/15623 17630/15624 17631/15649 +f 17631/15649 17635/15650 17651/15651 17647/15648 +f 16226/15652 16242/15420 16241/15414 16225/15653 +f 15657/14883 15681/14876 15680/14877 15656/14884 +f 15602/14912 15685/14910 15681/14876 15657/14883 +f 16186/15640 16191/15638 16207/15654 16202/15655 +f 16191/15638 16193/15637 16209/15656 16207/15654 +f 16210/15657 16209/15656 16193/15637 16194/15658 +f 15606/14983 16188/15400 16204/15659 15611/14984 +f 16200/15660 16204/15659 16188/15400 16184/15661 +f 16201/15662 16200/15660 16184/15661 16185/15663 +f 16215/15664 16201/15662 16185/15663 16199/15665 +f 16214/15666 16215/15664 16199/15665 16198/15667 +f 16198/15667 16197/15397 16213/15668 16214/15666 +f 16197/15397 16405/15396 16406/15669 16213/15668 +f 16405/15394 16196/15392 16212/15670 16406/15671 +f 16196/15392 16195/15391 16211/15672 16212/15670 +f 16208/15673 16211/15672 16195/15391 16192/15674 +f 16202/15655 16208/15673 16192/15674 16186/15640 +f 16186/15640 16192/15674 16418/15675 16434/15639 +f 16195/15391 16419/15390 16418/15675 16192/15674 +f 17539/15676 17538/15677 17554/15678 17555/15679 +f 16198/15667 16423/15680 16422/15398 16197/15397 +f 16199/15665 16424/15681 16423/15680 16198/15667 +f 16199/15665 16185/15663 16425/15682 16424/15681 +f 16185/15663 16184/15661 16426/15683 16425/15682 +f 16184/15661 16188/15400 16427/15399 16426/15683 +f 17535/15684 17539/15676 17555/15679 17551/15685 +f 15558/15190 15880/15185 15879/15187 15564/15686 +f 15564/15686 15879/15187 15878/15230 15571/15687 +f 16381/15688 16382/15689 16366/15690 16365/15691 +f 16194/15658 16193/15637 16432/15636 16431/15692 +f 17551/15685 17550/15693 17534/15694 17535/15684 +f 17550/15693 17548/15695 17532/15696 17534/15694 +f 16472/15697 16448/15698 16449/15699 16473/15700 +f 15739/15228 16450/15701 16451/15702 15740/15213 +f 15571/15687 15878/15230 15877/15703 15578/15704 +f 15749/15705 15578/15704 15877/15703 16435/15706 +f 15632/15630 15947/15707 15946/14814 15629/14854 +f 15610/15708 15609/14815 15946/14814 15947/15707 +f 15642/15342 15637/14867 15633/14860 15621/15709 +f 15617/14845 15624/15710 15621/15709 15633/14860 +f 15945/14810 15626/14847 15629/14854 15946/14814 +f 15944/14813 15623/14848 15626/14847 15945/14810 +f 15623/14848 15944/14813 15950/14980 15691/14979 +f 15907/14863 15899/14981 15948/14988 15644/14864 +f 15878/15230 15573/14801 15580/14800 15877/15703 +f 15877/15703 15580/14800 15748/15711 16435/15706 +f 16350/15712 16349/15713 16365/15691 16366/15690 +f 16349/15713 16350/15712 16334/15714 16333/15715 +f 15689/14906 15996/15716 15744/15717 15601/14835 +f 15745/15718 15563/14833 15601/14835 15744/15717 +f 15563/14833 15745/15718 15746/15719 15570/14831 +f 16438/14959 16439/14960 15614/14840 15615/14839 +f 16536/14948 16537/15720 15726/15721 15727/14872 +f 16482/15722 16478/14837 15583/14829 15737/15723 +f 16440/14961 16441/15724 15612/14844 15613/14842 +f 15650/15725 15641/14873 15727/14872 15726/15721 +f 16318/15726 16317/15727 16333/15715 16334/15714 +f 16493/15728 16490/15729 16448/15698 16472/15697 +f 16475/15730 16456/15731 16459/15732 15743/15225 +f 15953/15733 16443/15191 16452/15194 15952/15734 +f 15688/14904 15604/15175 15605/15460 15687/14880 +f 15743/15225 16459/15732 16458/15735 15997/15226 +f 15958/14974 16462/14951 16463/14953 15952/15734 +f 15738/15229 15616/15736 16450/15701 15739/15228 +f 15653/15472 15644/14864 15948/14988 15949/15474 +f 15954/15737 16445/15196 16443/15191 15953/15733 +f 15954/15737 15641/14873 15650/15725 15955/15738 +f 15908/14955 15851/14975 16461/15739 15731/14956 +f 17635/15650 17634/15740 17650/15741 17651/15651 +f 15728/14875 16464/14874 16463/14953 15729/14950 +f 16474/15742 16457/15743 16456/15731 16475/15730 +f 15952/15734 16452/15194 16446/15159 15958/14974 +f 15577/14828 15736/15744 15737/15723 15583/14829 +f 15570/14831 15746/15719 15736/15744 15577/14828 +f 15816/14902 15744/15717 15996/15716 15804/14972 +f 15652/15465 15643/14865 15644/14864 15653/15472 +f 16473/15700 16449/15699 16457/15743 16474/15742 +f 16444/15745 16445/15196 15954/15737 15955/15738 +f 17634/15740 17632/15746 17648/15747 17650/15741 +f 15740/15213 16451/15702 16465/15748 15741/15210 +f 16481/14962 16489/15749 15616/15736 15738/15229 +f 15741/15210 16465/15748 16455/15224 15742/15216 +f 16445/15196 16444/15745 15963/15750 15962/15197 +f 16301/15751 16302/15752 16286/15753 16285/15754 +f 15742/15216 16455/15224 16466/15227 15999/15217 +f 16529/15755 16488/15756 16025/15262 16035/15261 +f 16459/15732 15734/15757 15735/15758 16458/15735 +f 15651/15166 15660/14886 15917/15090 15920/15759 +f 16270/15760 16269/15625 16285/15754 16286/15753 +f 16254/15761 16253/15626 16269/15625 16270/15760 +f 15643/14865 15652/15465 15676/15459 15651/15166 +f 15660/14886 15651/15166 15676/15459 15661/14887 +f 15851/14975 15900/14849 15956/14852 16461/15739 +f 15585/14939 15950/14980 15944/14813 15586/14812 +f 16464/14874 15953/15733 15952/15734 16463/14953 +f 15641/14873 15954/15737 15953/15733 16464/14874 +f 15962/15197 15963/15750 15971/15762 15970/15201 +f 15970/15201 15971/15762 15979/15763 15978/15205 +f 16456/15731 16468/15764 15734/15757 16459/15732 +f 15782/14922 15746/15719 15745/15718 15793/14901 +f 15773/14920 15736/15744 15746/15719 15782/14922 +f 15769/14918 15737/15723 15736/15744 15773/14920 +f 16480/14917 16482/15722 15737/15723 15769/14918 +f 16465/15748 16475/15730 15743/15225 16455/15224 +f 16457/15743 16469/15765 16468/15764 16456/15731 +f 16449/15699 16470/15766 16469/15765 16457/15743 +f 16448/15698 16471/15767 16470/15766 16449/15699 +f 16490/15729 16492/15768 16471/15767 16448/15698 +f 16450/15701 16473/15700 16474/15742 16451/15702 +f 16489/15749 16493/15728 16472/15697 15616/15736 +f 16451/15702 16474/15742 16475/15730 16465/15748 +f 15616/15736 16472/15697 16473/15700 16450/15701 +f 15793/14901 15745/15718 15744/15717 15816/14902 +f 15624/15710 15617/14845 15612/14844 15627/15614 +f 16441/15724 16437/15615 15627/15614 15612/14844 +f 15905/14817 15651/15166 15920/15759 16460/14914 +f 15893/14820 15894/15137 15625/14846 15622/14821 +f 15895/15140 15628/14853 15625/14846 15894/15137 +f 16494/15769 17766/15770 16942/15771 16491/15772 +f 16495/15773 17227/15774 17214/15775 16496/15776 +f 16497/15777 15631/15629 15896/15628 16496/15776 +f 16497/15777 16943/15778 16944/15779 16498/15780 +f 16498/15780 16944/15779 17267/15781 16499/15782 +f 16500/15783 15610/15708 15947/15707 16499/15782 +f 16546/15784 17872/15785 17038/15786 16501/15787 +f 16502/15788 15650/15725 15726/15721 16501/15787 +f 16502/15788 17975/15789 17953/15790 16503/15791 +f 16504/15792 16444/15745 15955/15738 16503/15791 +f 16504/15792 17976/15793 17284/15794 16505/15795 +f 16505/15795 17284/15794 17954/15796 16506/15797 +f 16506/15797 17954/15796 17955/15798 16507/15799 +f 16508/15800 17956/15801 17957/15802 16509/15803 +f 16025/15262 15995/15253 15992/15251 16024/15259 +f 16488/15756 16484/15343 15995/15253 16025/15262 +f 16510/15804 17958/15805 17379/15338 16511/15337 +f 16124/15806 16040/15257 16034/15256 16127/15602 +f 16125/15807 16041/15263 16040/15257 16124/15806 +f 16127/15602 16136/15601 16091/15328 16104/15325 +f 16107/15323 16124/15806 16127/15602 16104/15325 +f 15588/15345 15806/15313 16063/15312 16069/15808 +f 16063/15312 16058/15309 16064/15809 16069/15808 +f 15599/15335 15588/15345 16069/15808 16075/15298 +f 16069/15808 16064/15809 16070/15297 16075/15298 +f 16097/15334 16100/15353 16120/15356 16114/15333 +f 16122/15349 16117/15332 16114/15333 16120/15356 +f 16517/15810 16084/15811 16079/15289 16516/15286 +f 16518/15812 16087/15813 16084/15811 16517/15810 +f 16518/15812 17964/15814 17973/15815 16519/15816 +f 16520/15817 16131/15818 16132/15819 16519/15816 +f 16520/15817 17972/15820 17974/15821 16521/15822 +f 16521/15823 17974/15824 17971/15825 16522/15826 +f 16523/15827 16129/15828 16130/15829 16522/15826 +f 16524/15830 16119/15831 16129/15828 16523/15827 +f 16525/15295 16115/15329 16119/15831 16524/15830 +f 16065/15832 16071/15290 16070/15297 16064/15809 +f 16066/15833 16072/15287 16071/15290 16065/15832 +f 16059/15307 16065/15832 16064/15809 16058/15309 +f 16060/15306 16066/15833 16065/15832 16059/15307 +f 16108/15321 16125/15807 16124/15806 16107/15323 +f 16106/15319 16128/15834 16125/15807 16108/15321 +f 16128/15834 16036/15260 16041/15263 16125/15807 +f 16126/15835 16035/15261 16036/15260 16128/15834 +f 15903/15239 15904/15158 16042/15274 16021/15241 +f 15904/15158 15903/15239 15994/15238 16056/15155 +f 16056/15155 15994/15238 16031/15235 16044/15272 +f 16044/15272 16031/15235 16032/15233 16045/15270 +f 16045/15270 16032/15233 16033/15232 16046/15267 +f 15986/15231 15987/15836 16030/15837 16033/15232 +f 16046/15267 16033/15232 16030/15837 16047/15603 +f 16509/15803 16510/15804 16047/15603 16030/15837 +f 16528/15838 17969/15839 17348/15840 16529/15755 +f 16105/15318 16126/15835 16128/15834 16106/15319 +f 16527/15294 16528/15838 16126/15835 16105/15318 +f 16060/15306 16061/15305 16067/15841 16066/15833 +f 16513/15302 16514/15842 16067/15841 16061/15305 +f 16066/15833 16067/15841 16073/15288 16072/15287 +f 16515/15283 16514/15842 17960/15843 17961/15284 +f 16123/15348 16118/15331 16117/15332 16122/15349 +f 16121/15352 16116/15330 16118/15331 16123/15348 +f 16084/15811 16083/15276 16078/15275 16079/15289 +f 16087/15813 16150/15363 16083/15276 16084/15811 +f 16132/15819 16145/15609 16150/15363 16087/15813 +f 16131/15818 16144/15610 16145/15609 16132/15819 +f 16144/15610 16131/15818 16400/15844 16401/15631 +f 16401/15362 16400/15845 16130/15829 16143/15358 +f 16143/15358 16130/15829 16129/15828 16142/15359 +f 16119/15831 16121/15352 16142/15359 16129/15828 +f 16119/15831 16115/15329 16116/15330 16121/15352 +f 15580/14800 15581/14803 16477/14823 16476/14822 +f 16919/14905 16479/14836 16478/14837 16918/15846 +f 15581/14803 15582/14826 16479/14836 16477/14823 +f 17873/15847 17077/15848 16480/14917 16545/14916 +f 15738/15229 16017/15221 16486/14963 16481/14962 +f 15580/14800 16476/14822 16483/14967 15748/15711 +f 16017/15221 16012/15220 16487/15222 16486/14963 +f 16073/15288 16515/15283 16516/15286 16079/15289 +f 16110/15317 16526/15291 16527/15294 16105/15318 +f 16115/15329 16525/15295 16526/15291 16110/15317 +f 16055/15304 16512/15299 16513/15302 16061/15305 +f 16051/15339 16511/15337 16512/15299 16055/15304 +f 17314/15849 17325/15850 16485/15344 16484/15343 +f 17051/15851 16918/15846 16478/14837 16482/15722 +f 17805/15852 17779/15853 16490/15729 16493/15728 +f 17052/14965 17764/15854 16489/15749 16481/14962 +f 17348/15840 17347/15855 16488/15756 16529/15755 +f 17077/15848 17051/15851 16482/15722 16480/14917 +f 17779/15853 17804/15856 16492/15768 16490/15729 +f 17764/15854 17805/15852 16493/15728 16489/15749 +f 16436/15612 16494/15769 16491/15772 15630/15613 +f 15909/15627 16495/15773 16496/15776 15896/15628 +f 16943/15778 16497/15777 16496/15776 17214/15775 +f 15631/15629 16497/15777 16498/15780 15632/15630 +f 15632/15630 16498/15780 16499/15782 15947/15707 +f 16917/15857 16500/15783 16499/15782 17267/15781 +f 16537/15720 16546/15784 16501/15787 15726/15721 +f 17975/15789 16502/15788 16501/15787 17038/15786 +f 15650/15725 16502/15788 16503/15791 15955/15738 +f 17976/15793 16504/15792 16503/15791 17953/15790 +f 16444/15745 16504/15792 16505/15795 15963/15750 +f 15963/15750 16505/15795 16506/15797 15971/15762 +f 15971/15762 16506/15797 16507/15799 15979/15763 +f 15987/15836 16508/15800 16509/15803 16030/15837 +f 17347/15855 17314/15849 16484/15343 16488/15756 +f 16047/15603 16510/15804 16511/15337 16051/15339 +f 17963/15858 16517/15810 16516/15286 17962/15285 +f 17964/15814 16518/15812 16517/15810 17963/15858 +f 16087/15813 16518/15812 16519/15816 16132/15819 +f 17972/15820 16520/15817 16519/15816 17973/15815 +f 16131/15818 16520/15817 16521/15822 16400/15844 +f 16400/15845 16521/15823 16522/15826 16130/15829 +f 17970/15859 16523/15827 16522/15826 17971/15825 +f 17968/15860 16524/15830 16523/15827 17970/15859 +f 17967/15296 16525/15295 16524/15830 17968/15860 +f 17957/15802 17958/15805 16510/15804 16509/15803 +f 16126/15835 16528/15838 16529/15755 16035/15261 +f 17965/15293 17969/15839 16528/15838 16527/15294 +f 17390/15301 17960/15843 16514/15842 16513/15302 +f 16073/15288 16067/15841 16514/15842 16515/15283 +f 15687/14880 15605/15460 15607/15466 15690/14881 +f 15690/14881 15607/15466 15608/15473 15689/14906 +f 15689/14906 15608/15473 15943/15475 15996/15716 +f 15849/15477 15804/14972 15996/15716 15943/15475 +f 16542/14973 16530/15478 15733/15481 15735/15758 +f 16453/15505 16458/15735 15735/15758 15733/15481 +f 16458/15735 16453/15505 15951/15514 15997/15226 +f 16447/15519 16466/15227 15997/15226 15951/15514 +f 16466/15227 16447/15519 15959/15527 15999/15217 +f 15999/15217 15959/15527 15967/15539 15998/15209 +f 15998/15209 15967/15539 15975/15549 16018/15206 +f 16019/15243 15983/15554 15991/15557 16020/15244 +f 16020/15244 15991/15557 16022/15559 16029/15265 +f 16029/15265 16022/15559 16038/15561 16039/15266 +f 16039/15266 16038/15561 16137/15572 16136/15601 +f 16090/15574 16091/15328 16136/15601 16137/15572 +f 16091/15328 16090/15574 16093/15576 16094/15327 +f 16094/15327 16093/15576 16096/15578 16097/15334 +f 16097/15334 16096/15578 16099/15598 16100/15353 +f 16100/15353 16099/15598 16102/15600 16141/15354 +f 16162/15385 16158/15642 16174/15645 16178/15386 +f 16916/15861 17532/15696 17548/15695 16989/15862 +f 17533/15863 16916/15861 16989/15862 17549/15864 +f 16431/15692 16430/15865 16190/15866 16194/15658 +f 16194/15658 16190/15866 16206/15867 16210/15657 +f 16242/15420 16238/15868 16254/15761 16258/15421 +f 16258/15421 16254/15761 16270/15760 16274/15442 +f 16258/15421 16274/15442 16273/15445 16257/15415 +f 16274/15442 16270/15760 16286/15753 16290/15443 +f 16290/15443 16286/15753 16302/15752 16306/15470 +f 17632/15746 17627/15869 17643/15870 17648/15747 +f 17627/15869 17633/15871 17649/15872 17643/15870 +f 16322/15494 16318/15726 16334/15714 16338/15495 +f 16317/15727 16315/15045 16331/15037 16333/15715 +f 17652/15873 17649/15872 17633/15871 17636/15874 +f 17636/15874 17637/15875 17653/15876 17652/15873 +f 16285/15754 16283/15055 16299/15054 16301/15751 +f 16269/15625 16267/15063 16283/15055 16285/15754 +f 16271/15453 16255/15405 16257/15415 16273/15445 +f 16266/15426 16250/15402 16255/15405 16271/15453 +f 16251/15141 16253/15626 16237/15877 16235/15142 +f 16234/15403 16218/15878 16223/15879 16239/15404 +f 16189/15880 16187/14982 16203/14985 16205/15881 +f 16429/15882 16428/15145 16187/14982 16189/15880 +f 17560/15883 17559/15884 17543/15885 17544/15886 +f 17544/15886 17530/15887 17546/15888 17560/15883 +f 16157/15643 16155/15148 16171/15147 16173/15644 +f 16098/15597 16080/15282 16086/15281 16101/15599 +f 16095/15577 16074/15336 16080/15282 16098/15597 +f 16092/15575 16068/15346 16074/15336 16095/15577 +f 16089/15573 16062/15315 16068/15346 16092/15575 +f 16062/15315 16089/15573 16135/15571 16134/15316 +f 16037/15560 16043/15273 16134/15316 16135/15571 +f 16023/15558 16042/15274 16043/15273 16037/15560 +f 15993/15556 16021/15241 16042/15274 16023/15558 +f 15989/15555 15988/15242 16021/15241 15993/15556 +f 15980/15204 15981/15548 15973/15538 15972/15200 +f 15972/15200 15973/15538 15965/15526 15964/15195 +f 16467/15518 16442/14851 15964/15195 15965/15526 +f 16442/14851 16467/15518 15957/15515 15956/14852 +f 16454/15504 16461/15739 15956/14852 15957/15515 +f 16461/15739 16454/15504 15732/15480 15731/14956 +f 16531/15479 16532/14957 15731/14956 15732/15480 +f 15584/14987 15872/15476 15949/15474 15948/14988 +f 15780/15001 15767/15889 15766/15131 15779/15007 +f 15781/15000 15768/15890 15767/15889 15780/15001 +f 15783/15034 15926/15126 15927/15891 15794/15029 +f 15794/15029 15927/15891 15928/15892 15805/15018 +f 15805/15018 15928/15892 15929/15893 15817/15014 +f 15817/15014 15929/15893 15930/15894 15827/14997 +f 15827/14997 15930/15894 15931/15895 15838/14996 +f 15838/14996 15931/15895 15932/15896 15850/14994 +f 15850/14994 15932/15896 15933/15897 15861/14991 +f 15861/14991 15933/15897 15934/15898 15873/14992 +f 15775/15012 15762/15899 15768/15890 15781/15000 +f 15763/15900 15762/15899 15775/15012 15776/15129 +f 15795/15003 15927/15901 15926/15122 15784/15004 +f 15927/15901 15795/15003 15807/15023 15928/15902 +f 15818/15048 15929/15903 15928/15902 15807/15023 +f 15829/15059 15930/15904 15929/15903 15818/15048 +f 15840/15067 15931/15905 15930/15904 15829/15059 +f 15852/15073 15932/15906 15931/15905 15840/15067 +f 15863/15083 15933/15907 15932/15906 15852/15073 +f 15933/15907 15863/15083 15875/15091 15934/15908 +f 15593/15184 15592/14913 15694/14935 15695/15182 +f 15919/15088 15673/15087 15666/15089 15918/15909 +f 15918/15909 15666/15089 15658/15097 15917/15910 +f 15917/15910 15658/15097 15679/15340 15920/15911 +f 15920/15911 15679/15340 15649/15341 16460/15912 +f 16460/15912 15649/15341 15642/15342 15913/15913 +f 15913/15913 15642/15342 15621/15709 15912/15914 +f 15624/15710 15911/15915 15912/15914 15621/15709 +f 15627/15614 15910/15916 15911/15915 15624/15710 +f 15910/15916 15627/15614 15630/15613 15909/15917 +f 16491/15772 16495/15918 15909/15917 15630/15613 +f 16495/15918 16491/15772 16942/15771 17227/15919 +f 16338/15495 16334/15714 16350/15712 16354/15523 +f 16354/15523 16350/15712 16366/15690 16370/15533 +f 16382/15689 16386/15540 16370/15533 16366/15690 +f 15579/14856 15578/15704 15749/15705 15747/14958 +f 15572/14855 15571/15687 15578/15704 15579/14856 +f 15565/14907 15564/15686 15571/15687 15572/14855 +f 15557/14908 15558/15190 15564/15686 15565/14907 +f 15558/15190 15557/14908 15595/14909 15596/15189 +f 15685/14910 15684/15188 15596/15189 15595/14909 +f 15602/14912 15603/15186 15684/15188 15685/14910 +f 15589/14911 15590/15183 15603/15186 15602/14912 +f 15590/15183 15589/14911 15592/14913 15593/15184 +f 15696/15169 15594/15174 15885/15173 15886/15170 +f 15593/15184 15695/15182 15886/15170 15885/15173 +f 15695/15182 15694/14935 15705/14934 15706/15180 +f 15706/15180 15705/14934 15716/14943 15717/15177 +f 15717/15177 15716/14943 15750/14970 15751/15178 +f 15763/15900 15776/15129 15941/15120 15942/15920 +f 15777/15119 15764/15401 15942/15920 15941/15120 +f 15786/15011 15787/15128 15776/15129 15775/15012 +f 15787/15128 15786/15011 15797/15027 15798/15127 +f 15798/15127 15797/15027 15809/15040 15810/15123 +f 15810/15123 15809/15040 15820/15050 15821/15112 +f 15831/15070 15832/15107 15821/15112 15820/15050 +f 15842/15076 15843/15105 15832/15107 15831/15070 +f 15854/15086 15855/15099 15843/15105 15842/15076 +f 15855/15099 15854/15086 15865/15095 15866/15100 +f 16103/15347 16154/15370 16160/15384 16139/15351 +f 16154/15370 16103/15347 16138/15350 16159/15371 +f 16159/15371 16138/15350 16140/15355 16161/15379 +f 16141/15354 16162/15385 16161/15379 16140/15355 +f 16102/15600 16158/15642 16162/15385 16141/15354 +f 16253/15626 16254/15761 16238/15868 16237/15877 +f 16238/15868 16222/15921 16221/15922 16237/15877 +f 16086/15281 16155/15148 16157/15643 16101/15599 +f 15702/15153 15686/15149 16155/15148 16086/15281 +f 15686/15149 15702/15153 16088/15152 16156/15368 +f 16081/15279 16152/15365 16156/15368 16088/15152 +f 16082/15277 16153/15373 16152/15365 16081/15279 +f 16151/15364 16167/15387 16153/15373 16082/15277 +f 16149/15608 16166/15607 16167/15387 16151/15364 +f 16166/15607 16149/15608 16148/15611 16165/15604 +f 16165/15604 16148/15611 16402/15632 16403/15633 +f 16403/15382 16402/15361 16147/15357 16164/15376 +f 16164/15376 16147/15357 16146/15360 16163/15377 +f 16163/15377 16146/15360 16139/15351 16160/15384 +f 16239/15404 16223/15879 16225/15653 16241/15414 +f 16222/15921 16238/15868 16242/15420 16226/15652 +f 15677/15923 15758/15143 16235/15142 16219/15924 +f 16216/15925 16232/15409 16236/15425 16220/15926 +f 16231/15927 16247/15422 16233/15406 16217/15928 +f 16246/15595 16230/15929 16229/15930 16245/15596 +f 16408/15417 16407/15931 16228/15932 16244/15411 +f 16243/15412 16227/15933 16224/15934 16240/15419 +f 16218/15878 16234/15403 16240/15419 16224/15934 +f 16244/15411 16228/15932 16227/15933 16243/15412 +f 16245/15596 16229/15930 16407/15935 16408/15641 +f 16230/15929 16246/15595 16247/15422 16231/15927 +f 16217/15928 16233/15406 16232/15409 16216/15925 +f 15758/15143 15677/15923 16220/15926 16236/15425 +f 16237/15877 16221/15922 16219/15924 16235/15142 +f 16333/15715 16331/15037 16347/15035 16349/15713 +f 16349/15713 16347/15035 16363/15020 16365/15691 +f 16379/15019 16381/15688 16365/15691 16363/15020 +f 16468/15764 16541/14900 16543/14903 15734/15757 +f 16492/15768 16545/14916 16538/14919 16471/15767 +f 16471/15767 16538/14919 16539/14921 16470/15766 +f 16470/15766 16539/14921 16540/14923 16469/15765 +f 16469/15765 16540/14923 16541/14900 16468/15764 +f 15730/14952 16533/14938 16534/14940 15729/14950 +f 16190/15866 16189/15880 16205/15881 16206/15867 +f 15609/14815 16536/14948 16535/14949 15587/14811 +f 15587/14811 16535/14949 16534/14940 15586/14812 +f 15898/14986 16544/14954 16532/14957 15584/14987 +f 16430/15865 16429/15882 16189/15880 16190/15866 +f 15734/15757 16543/14903 16542/14973 15735/15758 +f 15585/14939 16533/14938 16544/14954 15898/14986 +f 15609/14815 15610/15708 16537/15720 16536/14948 +f 16500/15783 16917/15857 17872/15785 16546/15784 +f 17804/15856 17873/15847 16545/14916 16492/15768 +f 15610/15708 16500/15783 16546/15784 16537/15720 +f 15804/14972 15849/15477 16530/15478 16542/14973 +f 15872/15476 15584/14987 16532/14957 16531/15479 +f 15751/15178 15763/15900 15942/15920 15889/15134 +f 15764/15401 15752/15135 15889/15134 15942/15920 +f 15750/14970 15762/15899 15763/15900 15751/15178 +f 15762/15899 15750/14970 15756/14971 15768/15890 +f 15768/15890 15756/14971 15755/14976 15767/15889 +f 15767/15889 15755/14976 15754/14968 15766/15131 +f 15766/15131 15754/14968 15753/14969 15765/15130 +f 15765/15130 15753/14969 15757/15033 15770/15124 +f 15770/15124 15757/15033 15924/15032 15925/15125 +f 15759/14977 15771/15043 15925/15121 15924/15015 +f 15771/15043 15759/14977 15760/14978 15772/15044 +f 17530/15887 17529/15936 17545/15937 17546/15888 +f 17529/15936 17533/15863 17549/15864 17545/15937 +f 17766/15770 16494/15769 16551/15938 17883/15939 +f 16441/15724 16440/14961 16549/15940 16550/15941 +f 16494/15769 16436/15612 16547/15942 16551/15938 +f 16437/15615 16441/15724 16550/15941 16548/15943 +f 16436/15612 16437/15615 16548/15943 16547/15942 +f 17883/15939 16551/15938 16556/15944 17889/15945 +f 16550/15941 16549/15940 16554/15946 16555/15947 +f 16551/15938 16547/15942 16552/15948 16556/15944 +f 16547/15942 16548/15943 16553/15949 16552/15948 +f 16548/15943 16550/15941 16555/15947 16553/15949 +f 17889/15945 16556/15944 16561/15950 17895/15951 +f 16555/15947 16554/15946 16559/15952 16560/15953 +f 16556/15944 16552/15948 16557/15954 16561/15950 +f 16552/15948 16553/15949 16558/15955 16557/15954 +f 16553/15949 16555/15947 16560/15953 16558/15955 +f 17895/15951 16561/15950 16566/15956 17901/15957 +f 16560/15953 16559/15952 16564/15958 16565/15959 +f 16561/15950 16557/15954 16562/15960 16566/15956 +f 16557/15954 16558/15955 16563/15961 16562/15960 +f 16558/15955 16560/15953 16565/15959 16563/15961 +f 17901/15957 16566/15956 16571/15962 17907/15963 +f 16565/15959 16564/15958 16569/15964 16570/15965 +f 16566/15956 16562/15960 16567/15966 16571/15962 +f 16562/15960 16563/15961 16568/15967 16567/15966 +f 16563/15961 16565/15959 16570/15965 16568/15967 +f 15748/15711 16483/14967 16575/15968 16572/15969 +f 15749/15705 16435/15706 16574/15970 16573/15971 +f 16435/15706 15748/15711 16572/15969 16574/15970 +f 16483/14967 17062/14966 17913/15972 16575/15968 +f 16572/15969 16575/15968 16579/15973 16576/15974 +f 16575/15968 17913/15972 17918/15975 16579/15973 +f 16573/15971 16574/15970 16578/15976 16577/15977 +f 16574/15970 16572/15969 16576/15974 16578/15976 +f 16577/15977 16578/15976 16582/15978 16581/15979 +f 16578/15976 16576/15974 16580/15980 16582/15978 +f 16576/15974 16579/15973 16583/15981 16580/15980 +f 16579/15973 17918/15975 17923/15982 16583/15981 +f 16580/15980 16583/15981 16587/15983 16584/15984 +f 16583/15981 17923/15982 17928/15985 16587/15983 +f 16581/15979 16582/15978 16586/15986 16585/15987 +f 16582/15978 16580/15980 16584/15984 16586/15986 +f 16586/15986 16584/15984 16588/15988 16590/15989 +f 16584/15984 16587/15983 16591/15990 16588/15988 +f 16587/15983 17928/15985 17933/15991 16591/15990 +f 16585/15987 16586/15986 16590/15989 16589/15992 +f 16439/14960 16438/14959 16593/15993 16594/15994 +f 16438/14959 15747/14958 16592/15995 16593/15993 +f 16594/15994 16593/15993 16596/15996 16597/15997 +f 16593/15993 16592/15995 16595/15998 16596/15996 +f 16597/15997 16596/15996 16599/15999 16600/16000 +f 16596/15996 16595/15998 16598/16001 16599/15999 +f 16600/16000 16599/15999 16602/16002 16603/16003 +f 16599/15999 16598/16001 16601/16004 16602/16002 +f 16603/16003 16602/16002 16605/16005 16606/16006 +f 16602/16002 16601/16004 16604/16007 16605/16005 +f 16592/15995 15747/14958 15749/15705 16573/15971 +f 16577/15977 16595/15998 16592/15995 16573/15971 +f 16581/15979 16598/16001 16595/15998 16577/15977 +f 16585/15987 16601/16004 16598/16001 16581/15979 +f 16589/15992 16604/16007 16601/16004 16585/15987 +f 16564/15958 16603/16003 16606/16006 16569/15964 +f 16559/15952 16600/16000 16603/16003 16564/15958 +f 16554/15946 16597/15997 16600/16000 16559/15952 +f 16549/15940 16594/15994 16597/15997 16554/15946 +f 16439/14960 16594/15994 16549/15940 16440/14961 +f 15346/14522 16394/16008 15330/14534 15331/14523 +f 16393/15562 15344/14558 15343/14555 16392/15563 +f 15353/14550 16396/15570 16395/15569 15352/14574 +f 15390/14549 15389/16009 16396/15570 15353/14550 +f 16399/15564 15357/14559 15344/14558 16393/15562 +f 16392/15563 15343/14555 15347/14536 15336/14535 +f 15355/14589 16398/15567 16397/15566 15354/14583 +f 15352/14574 16395/15569 15340/14533 15350/14532 +f 15357/14559 16399/15564 16398/15567 15355/14589 +f 15389/16010 15390/14584 15354/14583 16397/15566 +f 15346/14522 15333/14598 15337/14602 16394/16008 +f 16379/15019 15678/15022 15330/14534 16394/16008 +f 15678/15022 16380/15545 15336/14535 15330/14534 +f 16392/15563 15336/14535 16380/15545 16376/15544 +f 16417/15552 16388/15550 16396/15570 15389/16009 +f 16384/15553 15340/14533 16395/15569 16387/15551 +f 15342/14576 15341/14530 16385/15541 16386/15540 +f 16383/15547 16385/15541 15341/14530 15339/14528 +f 16378/15546 16383/15547 15339/14528 15335/14527 +f 15335/14527 15340/14533 16384/15553 16378/15546 +f 16417/15617 15389/16010 16397/15566 16389/15565 +f 16382/15689 16381/15688 15337/14602 15338/14601 +f 16386/15540 16382/15689 15338/14601 15342/14576 +f 16381/15688 16379/15019 16394/16008 15337/14602 +f 15420/14626 15422/14630 16614/14622 16613/14612 +f 15400/14618 15473/14617 16620/14708 16609/14707 +f 15520/14766 15543/14777 16628/14771 16629/14764 +f 15429/14649 15427/14651 16623/14635 16622/14634 +f 15555/14794 15552/14791 16625/14797 16608/14798 +f 15473/14617 15488/14726 16617/14730 16620/14708 +f 15488/14726 15505/14734 16632/14747 16617/14730 +f 15422/14630 15424/14632 16624/14623 16614/14622 +f 15431/14645 15429/14649 16622/14634 16621/14638 +f 15543/14777 15415/14627 16611/14611 16628/14771 +f 15475/14701 15486/14712 16618/14724 16619/14667 +f 15505/14734 15520/14766 16629/14764 16632/14747 +f 15507/14746 15518/14767 16630/14762 16631/14737 +f 15458/14689 15425/14624 16624/14623 16612/14691 +f 15398/14702 16610/14666 16625/14797 15552/14791 +f 15486/14712 15507/14746 16631/14737 16618/14724 +f 15398/14702 15475/14701 16619/14667 16610/14666 +f 15545/14789 15409/14662 16615/14642 16627/14780 +f 15551/14790 15553/14793 16607/14799 16626/14796 +f 15518/14767 15545/14789 16627/14780 16630/14762 +f 15415/14627 15420/14626 16613/14612 16611/14611 +f 15409/14662 15433/14646 16616/14640 16615/14642 +f 15458/14689 16612/14691 16623/14635 15427/14651 +f 15460/14694 15461/14698 16607/14799 16608/14798 +f 15399/14615 15400/14618 16609/14707 16626/14796 +f 15433/14646 15431/14645 16621/14638 16616/14640 +f 16003/15254 16012/15220 16016/15219 16007/15252 +f 16485/15344 16487/15222 16012/15220 16003/15254 +f 16487/15222 16485/15344 17325/15850 17326/15223 +f 16508/15800 16507/15799 17955/15798 17956/15801 +f 16507/15799 16508/15800 15987/15836 15979/15763 +f 15979/15763 15987/15836 15986/15231 15978/15205 +f 15978/15205 15986/15231 15985/15234 15977/15202 +f 15977/15202 15985/15234 15984/15236 15976/15203 +f 15990/15237 15982/15163 15976/15203 15984/15236 +f 15897/15240 15874/15164 15982/15163 15990/15237 +f 15874/15164 15897/15240 15988/15242 15980/15204 +f 15980/15204 15988/15242 15989/15555 15981/15548 +f 15983/15554 15975/15549 15981/15548 15989/15555 +f 15975/15549 15983/15554 16019/15243 16018/15206 +f 16018/15206 16019/15243 16006/15246 16010/15207 +f 16009/15248 16005/15214 16010/15207 16006/15246 +f 16008/15250 16004/15215 16005/15214 16009/15248 +f 16004/15215 16008/15250 16007/15252 16016/15219 +f 16677/16011 16683/16012 16633/16013 16636/16014 +f 16650/16015 16677/16016 16636/16017 16635/16018 +f 16649/16019 16653/16020 16643/16021 16639/16022 +f 16653/16020 16655/16023 16645/16024 16643/16021 +f 16639/16022 16644/16025 16654/16026 16649/16019 +f 16635/16018 16651/16027 16640/16028 16634/16029 +f 16649/16019 16654/16026 16665/16030 16662/16031 +f 16662/16031 16664/16032 16653/16020 16649/16019 +f 16664/16032 16666/16033 16655/16023 16653/16020 +f 16689/16034 16662/16035 16665/16036 16679/16037 +f 16671/16038 16686/16039 16687/16040 16667/16041 +f 16694/16042 16695/16043 16671/16044 16657/16045 +f 16675/16046 16647/16047 16651/16027 16672/16048 +f 16674/16049 16661/16050 16648/16051 16673/16052 +f 16673/16052 16648/16051 16647/16047 16675/16046 +f 16682/16053 16675/16054 16672/16055 16684/16056 +f 16692/16057 16674/16058 16673/16059 16685/16060 +f 16685/16060 16673/16059 16675/16054 16682/16053 +f 16635/16018 16636/16017 16672/16048 16651/16027 +f 16695/16061 16696/16062 16686/16039 16671/16038 +f 16636/16014 16633/16013 16684/16056 16672/16055 +f 16664/16063 16690/16064 16691/16065 16666/16066 +f 16657/16045 16671/16044 16667/16067 16656/16068 +f 16662/16035 16689/16034 16690/16064 16664/16063 +f 16655/16023 16660/16069 16646/16070 16645/16024 +f 16688/16071 16696/16072 16695/14580 16670/16073 +f 16670/16074 16695/16075 16694/16076 16658/16077 +f 16688/16071 16670/16073 16676/16078 16681/16079 +f 16670/16074 16658/16077 16659/16080 16676/16081 +f 16687/16040 16679/16037 16665/16036 16667/16041 +f 16654/16026 16656/16068 16667/16067 16665/16030 +f 16660/16069 16655/16023 16666/16033 16668/16082 +f 16691/16065 16678/16083 16668/16084 16666/16066 +f 16692/16057 16681/16079 16676/16078 16674/16058 +f 16674/16049 16676/16081 16659/16080 16661/16050 +f 16669/16085 16638/16086 16663/16087 16680/16088 +f 16652/16089 16663/16090 16638/16091 16637/16092 +f 16637/16092 16641/16093 16642/16094 16652/16089 +f 16646/16070 16660/16069 16652/16089 16642/16094 +f 16660/16069 16668/16082 16663/16090 16652/16089 +f 16680/16088 16663/16087 16668/16084 16678/16083 +f 16677/16016 16650/16015 16637/16092 16638/16091 +f 16683/16012 16677/16011 16638/16086 16669/16085 +f 16716/16095 16715/16096 16710/16097 16711/16098 +f 16845/16099 16714/16100 16708/16101 16844/16102 +f 17981/16103 16720/16104 16746/16105 17983/16106 +f 16703/16107 16704/16108 16777/16109 16778/16110 +f 16721/16111 16722/16112 16720/16104 16709/16113 +f 17984/16114 16744/16115 16729/16116 17994/16117 +f 16724/16118 16723/16119 16718/16120 16719/16121 +f 16726/16122 16725/16123 16723/16119 16724/16118 +f 16728/16124 16727/16125 16725/16123 16726/16122 +f 17992/16126 16732/16127 16730/16128 17993/16129 +f 17991/16130 16734/16131 16732/16127 17992/16126 +f 17986/16132 16736/16133 16734/16131 17991/16130 +f 17985/16134 16738/16135 16736/16133 17986/16132 +f 16742/16136 16743/16137 16737/16138 16735/16139 +f 16741/16140 16742/16136 16735/16139 16733/16141 +f 16740/16142 16741/16140 16733/16141 16731/16143 +f 17983/16106 16746/16105 16744/16115 17984/16114 +f 16766/16144 16697/16145 16784/16146 16771/16147 +f 16831/16148 16830/16149 16721/16150 16709/16151 +f 16712/16152 16717/16153 16716/16095 16711/16098 +f 16737/16138 16743/16137 16739/16154 16713/16155 +f 16759/16156 16745/16157 16729/16116 16744/16115 +f 17980/16158 16706/16159 16775/16160 17989/16161 +f 16720/16104 16722/16112 16755/16162 16746/16105 +f 16744/16115 16746/16105 16755/16162 16759/16156 +f 16751/16163 16750/16164 16747/16165 16748/16166 +f 16754/16167 16753/16168 16750/16164 16751/16163 +f 16758/16169 16757/16170 16753/16168 16754/16167 +f 16771/16147 16783/16171 16698/16172 16766/16144 +f 16723/16119 16752/16173 16749/16174 16718/16120 +f 16725/16123 16756/16175 16752/16173 16723/16119 +f 16727/16125 16760/16176 16756/16175 16725/16123 +f 16768/16177 16699/16178 16782/16179 16769/16180 +f 16738/16135 16747/16165 16750/16164 16736/16133 +f 16736/16133 16750/16164 16753/16168 16734/16131 +f 16734/16131 16753/16168 16757/16170 16732/16127 +f 16732/16127 16757/16170 16758/16169 16730/16128 +f 16745/16157 16763/16181 16762/16182 16729/16116 +f 17982/16183 16761/16184 16728/16124 17994/16117 +f 16728/16124 16761/16184 16760/16176 16727/16125 +f 16773/16185 16774/16186 16707/16187 16764/16188 +f 16769/16180 16784/16146 16697/16145 16768/16177 +f 16764/16188 16765/16189 16772/16190 16773/16185 +f 16778/16110 16772/16190 16765/16189 16703/16107 +f 16781/16191 16782/16179 16699/16178 16700/16192 +f 16779/16193 16770/16194 16767/16195 16702/16196 +f 16706/16159 16707/16187 16774/16186 16775/16160 +f 16780/16197 16781/16191 16700/16192 16701/16198 +f 17979/16199 16705/16200 16776/16201 17990/16202 +f 16783/16203 16776/16201 16705/16200 16698/16172 +f 16770/16194 16780/16197 16701/16198 16767/16195 +f 16790/16204 16799/16205 16770/16194 16779/16193 +f 16788/16206 16787/16207 16782/16179 16781/16191 +f 16791/16208 16797/16209 16772/16190 16778/16110 +f 16773/16185 16772/16190 16797/16209 16796/16210 +f 16800/16211 16785/16212 16784/16146 16769/16180 +f 16796/16210 16795/16213 16774/16186 16773/16185 +f 16769/16180 16782/16179 16787/16207 16800/16211 +f 16798/16214 16786/16215 16783/16171 16771/16147 +f 17989/16161 16775/16160 16794/16216 17988/16217 +f 16771/16147 16784/16146 16785/16212 16798/16214 +f 16778/16110 16777/16109 16792/16218 16791/16208 +f 16799/16205 16789/16219 16780/16197 16770/16194 +f 16786/16220 16793/16221 16776/16201 16783/16203 +f 17990/16202 16776/16201 16793/16221 17987/16222 +f 16789/16219 16788/16206 16781/16191 16780/16197 +f 16775/16160 16774/16186 16795/16213 16794/16216 +f 16802/16223 16812/16224 16789/16219 16799/16205 +f 16791/16208 16792/16218 16809/16225 16810/16226 +f 16798/16214 16785/16212 16816/16227 16803/16228 +f 17988/16217 16794/16216 16807/16229 18001/16230 +f 16803/16228 16815/16231 16786/16215 16798/16214 +f 16800/16211 16787/16207 16814/16232 16801/16233 +f 16805/16234 16806/16235 16795/16213 16796/16210 +f 16801/16233 16816/16227 16785/16212 16800/16211 +f 16796/16210 16797/16209 16804/16236 16805/16234 +f 16810/16226 16804/16236 16797/16209 16791/16208 +f 16813/16237 16814/16232 16787/16207 16788/16206 +f 16811/16238 16802/16223 16799/16205 16790/16204 +f 16794/16216 16795/16213 16806/16235 16807/16229 +f 16812/16224 16813/16237 16788/16206 16789/16219 +f 17987/16222 16793/16221 16808/16239 18002/16240 +f 16815/16241 16808/16239 16793/16221 16786/16220 +f 16820/16242 16819/16243 16814/16232 16813/16237 +f 16823/16244 16829/16245 16804/16236 16810/16226 +f 16803/16228 16816/16227 16817/16246 16832/16247 +f 16708/16101 16714/16100 16830/16149 16831/16148 +f 16836/16248 16817/16246 16816/16227 16801/16233 +f 16828/16249 16827/16250 16806/16235 16805/16234 +f 16833/16251 16821/16252 16812/16224 16802/16223 +f 16832/16247 16818/16253 16815/16231 16803/16228 +f 18001/16230 16807/16229 16826/16254 18000/16255 +f 18002/16240 16808/16239 16825/16256 17999/16257 +f 16810/16226 16809/16225 16824/16258 16823/16244 +f 16822/16259 16833/16251 16802/16223 16811/16238 +f 16818/16260 16825/16256 16808/16239 16815/16241 +f 16805/16234 16804/16236 16829/16245 16828/16249 +f 16821/16252 16820/16242 16813/16237 16812/16224 +f 16807/16229 16806/16235 16827/16250 16826/16254 +f 16712/16152 16834/16261 16835/16262 16717/16153 +f 16801/16233 16814/16232 16819/16243 16836/16248 +f 17999/16257 16825/16256 16846/16263 17998/16264 +f 16853/16265 16846/16263 16825/16256 16818/16260 +f 16838/16266 16850/16267 16821/16252 16833/16251 +f 16823/16244 16824/16258 16847/16268 16848/16269 +f 16832/16247 16817/16246 16854/16270 16839/16271 +f 18000/16255 16826/16254 16843/16272 17997/16273 +f 16839/16271 16853/16274 16818/16253 16832/16247 +f 16836/16248 16819/16243 16852/16275 16837/16276 +f 16841/16277 16842/16278 16827/16250 16828/16249 +f 16715/16096 16845/16099 16844/16102 16710/16097 +f 16837/16276 16854/16270 16817/16246 16836/16248 +f 16828/16249 16829/16245 16840/16279 16841/16277 +f 16752/16173 16751/16163 16748/16166 16749/16174 +f 16751/16163 16752/16173 16756/16175 16754/16167 +f 16754/16167 16756/16175 16760/16176 16758/16169 +f 16761/16184 16730/16128 16758/16169 16760/16176 +f 17982/16183 17993/16129 16730/16128 16761/16184 +f 16731/16143 16762/16182 16763/16181 16740/16142 +f 16848/16269 16840/16279 16829/16245 16823/16244 +f 16851/16280 16852/16275 16819/16243 16820/16242 +f 16849/16281 16838/16266 16833/16251 16822/16259 +f 16826/16254 16827/16250 16842/16278 16843/16272 +f 16850/16267 16851/16280 16820/16242 16821/16252 +f 16831/16148 16709/16151 16853/16274 16839/16271 +f 16839/16271 16854/16270 16708/16101 16831/16148 +f 16715/16096 16689/16034 16679/16037 16845/16099 +f 16689/16034 16715/16096 16716/16095 16690/16064 +f 16845/16099 16679/16037 16687/16040 16714/16100 +f 16686/16039 16830/16149 16714/16100 16687/16040 +f 16690/16064 16716/16095 16717/16153 16691/16065 +f 16835/16262 16678/16083 16691/16065 16717/16153 +f 16680/16088 16739/16154 16743/16137 16669/16085 +f 16742/16136 16683/16012 16669/16085 16743/16137 +f 16741/16140 16633/16013 16683/16012 16742/16136 +f 16696/16062 16721/16150 16830/16149 16686/16039 +f 16688/16071 16722/16112 16721/16111 16696/16072 +f 16722/16112 16688/16071 16681/16079 16755/16162 +f 16755/16162 16681/16079 16692/16057 16759/16156 +f 16759/16156 16692/16057 16685/16060 16745/16157 +f 16633/16013 16741/16140 16740/16142 16684/16056 +f 16745/16157 16685/16060 16682/16053 16763/16181 +f 16718/16120 16749/16174 16840/16279 16848/16269 +f 16713/16155 16834/16261 16838/16266 16849/16281 +f 16841/16277 16840/16279 16749/16174 16748/16166 +f 16748/16166 16747/16165 16842/16278 16841/16277 +f 16712/16152 16711/16098 16851/16280 16850/16267 +f 17997/16273 16843/16272 16738/16135 17985/16134 +f 16834/16261 16712/16152 16850/16267 16838/16266 +f 16843/16272 16842/16278 16747/16165 16738/16135 +f 16711/16098 16710/16097 16852/16275 16851/16280 +f 16837/16276 16852/16275 16710/16097 16844/16102 +f 16848/16269 16847/16268 16719/16121 16718/16120 +f 17998/16264 16846/16263 16720/16104 17981/16103 +f 16844/16102 16708/16101 16854/16270 16837/16276 +f 16709/16113 16720/16104 16846/16263 16853/16265 +f 16678/16083 16835/16262 16739/16154 16680/16088 +f 16834/16261 16713/16155 16739/16154 16835/16262 +f 16855/16282 16766/16144 16698/16172 16705/16200 +f 16702/16196 16767/16195 16701/16198 16856/16283 +f 16768/16177 16697/16145 16857/16284 16860/16285 +f 16700/16192 16699/16178 16858/16286 16859/16287 +f 16860/16285 16858/16286 16699/16178 16768/16177 +f 16766/16144 16855/16282 16857/16284 16697/16145 +f 16856/16283 16701/16198 16700/16192 16859/16287 +f 17996/16288 16855/16282 16705/16200 17979/16199 +f 17980/16158 17995/16289 16707/16187 16706/16159 +f 16858/16286 16860/16285 16857/16284 16859/16287 +f 17978/16290 16859/16287 16857/16284 17977/16291 +f 17978/16290 16764/16188 16707/16187 17995/16289 +f 17996/16288 16703/16107 16765/16189 17977/16291 +f 16763/16181 16682/16053 16684/16056 16740/16142 +f 16884/16292 16885/16293 16878/16294 16877/16295 +f 16877/16295 16878/16294 16871/16296 16870/16297 +f 16870/16297 16871/16296 16864/16298 16863/16299 +f 16863/16299 16864/16298 16902/16300 16901/16301 +f 17264/16302 17263/16303 16890/16304 16891/16305 +f 17265/16306 17264/16302 16891/16305 16914/16307 +f 17224/16308 17004/16309 17219/16310 17223/16311 +f 17219/16310 17004/16309 16931/16312 17210/16313 +f 17810/16314 16913/14825 16920/14824 17811/16315 +f 16886/16316 16887/16317 16881/16318 16880/16319 +f 16880/16319 16881/16318 16874/16320 16873/16321 +f 16873/16321 16874/16320 16867/16322 16866/16323 +f 16866/16323 16867/16322 16905/16324 16904/16325 +f 17813/16326 17812/16327 16887/16317 16886/16316 +f 16929/16328 16928/16329 16923/16330 16924/16331 +f 16928/16329 16927/16332 16922/16333 16923/16330 +f 16927/16332 16926/16334 16921/16335 16922/16333 +f 16934/16336 16931/16312 16932/16337 16935/16338 +f 17218/16339 17276/16340 17773/16341 17156/16342 +f 16937/16343 16934/16336 16935/16338 16938/16344 +f 16876/16345 16929/16328 16924/16331 16883/16346 +f 16948/16347 16947/16348 16928/16329 16929/16328 +f 16947/16348 16946/16349 16927/16332 16928/16329 +f 16946/16349 16945/16350 16926/16334 16927/16332 +f 16952/16351 16951/16352 16947/16348 16948/16347 +f 17224/16308 16955/16353 16956/16354 17225/16355 +f 16951/16352 16950/16356 16946/16349 16947/16348 +f 16950/16356 16949/16357 16945/16350 16946/16349 +f 16960/16358 16959/16359 16951/16352 16952/16351 +f 16959/16359 16958/16360 16950/16356 16951/16352 +f 16958/16360 16957/16361 16949/16357 16950/16356 +f 17040/16362 17041/16363 17796/16364 16953/16365 +f 16993/16366 16992/16367 16959/16359 16960/16358 +f 16992/16367 16994/16368 16958/16360 16959/16359 +f 16994/16368 16995/16369 16957/16361 16958/16360 +f 16999/16370 16902/16300 16904/16325 17002/16371 +f 16977/16372 16976/16373 16968/16374 16969/16375 +f 16972/16376 16979/16377 16980/16378 16973/16379 +f 16976/16373 16975/16380 16967/16381 16968/16374 +f 16975/16380 16974/16382 16966/16383 16967/16381 +f 16984/16384 16983/16385 16976/16373 16977/16372 +f 16979/16377 16986/16386 16987/16387 16980/16378 +f 16983/16385 16982/16388 16975/16380 16976/16373 +f 16982/16388 16981/16389 16974/16382 16975/16380 +f 16866/16323 16904/16325 16902/16300 16864/16298 +f 16864/16298 16871/16296 16873/16321 16866/16323 +f 16871/16296 16878/16294 16880/16319 16873/16321 +f 17877/16390 17879/16391 17133/16392 17110/16393 +f 16878/16294 16885/16293 16886/16316 16880/16319 +f 16901/16301 16902/16300 16999/16370 17000/16394 +f 17811/16315 16920/14824 16919/14905 17813/16326 +f 16904/16325 16905/16324 17001/16395 17002/16371 +f 16869/16396 16948/16347 16929/16328 16876/16345 +f 16861/16397 16952/16351 16948/16347 16869/16396 +f 16952/16351 16861/16397 16899/16398 16960/16358 +f 16997/16399 16993/16366 16960/16358 16899/16398 +f 16893/16400 16977/16372 16969/16375 16906/16401 +f 16977/16372 16893/16400 16896/16402 16984/16384 +f 17223/16311 17219/16310 17232/16403 17792/16404 +f 17881/16405 17874/16406 17086/16407 17814/16408 +f 17874/16406 17875/16409 17090/16410 17086/16407 +f 17875/16409 17876/16411 17099/16412 17090/16410 +f 17876/16411 17877/16390 17110/16393 17099/16412 +f 17015/16413 17026/16414 17027/16415 17016/16416 +f 17022/16417 17021/16418 17010/16419 17011/16420 +f 17021/16418 17020/16421 17009/16422 17010/16419 +f 17017/16423 17023/16424 17012/16425 17006/16426 +f 17867/16427 17868/16428 16890/16304 16889/16429 +f 17023/16424 17022/16417 17011/16420 17012/16425 +f 17032/16430 17031/16431 17020/16421 17021/16418 +f 17028/16432 17034/16433 17023/16424 17017/16423 +f 17034/16433 17033/16434 17022/16417 17023/16424 +f 17026/16414 17036/16435 17037/16436 17027/16415 +f 17033/16434 17032/16430 17021/16418 17022/16417 +f 17870/16437 17869/16438 17041/16363 17040/16362 +f 17869/16438 17868/16428 17042/16439 17041/16363 +f 17794/16440 17795/16441 17042/16439 17043/16442 +f 17880/16443 17866/16444 17044/16445 17226/16446 +f 17063/16447 16883/16346 16924/16331 17769/16448 +f 17770/16449 16923/16330 16922/16333 17771/16450 +f 17815/16451 17052/14965 17332/14964 17820/16452 +f 17810/16314 17817/16453 17062/14966 16913/14825 +f 17070/16454 17069/16455 17031/16431 17032/16430 +f 17066/16456 17072/16457 17034/16433 17028/16432 +f 17879/16391 17878/16458 17121/16459 17133/16392 +f 17794/16440 17168/16460 17218/16339 17278/16461 +f 17072/16457 17071/16462 17033/16434 17034/16433 +f 17075/16463 17076/16464 17037/16436 17036/16435 +f 17071/16462 17070/16454 17032/16430 17033/16434 +f 17043/16442 17226/16446 17168/16460 17794/16440 +f 17003/16465 17225/16355 17217/16466 17270/16467 +f 17516/16468 17532/15696 16916/15861 16910/16469 +f 17217/16466 17268/16470 16888/16471 17216/16472 +f 17185/16473 17190/16474 17178/16475 17174/16476 +f 17174/16476 17178/16475 17167/16477 17162/16478 +f 17162/16478 17167/16477 17155/16479 17151/16480 +f 17144/16481 17140/16482 17151/16480 17155/16479 +f 17109/16483 17108/16484 17097/16485 17098/16486 +f 17112/16487 17113/16488 17102/16489 17101/16490 +f 17108/16484 17107/16491 17096/16492 17097/16485 +f 17107/16491 17106/16493 17095/16494 17096/16492 +f 17103/16495 17109/16483 17098/16486 17092/16496 +f 17140/16482 17144/16481 17134/16497 17129/16498 +f 17075/16463 17036/16435 17242/16499 17243/16500 +f 17129/16498 17134/16497 17122/16501 17117/16502 +f 17708/16503 16990/16504 16879/16505 17692/16506 +f 17124/16507 17125/16508 17113/16488 17112/16487 +f 17119/16509 17118/16510 17107/16491 17108/16484 +f 17118/16510 17117/16502 17106/16493 17107/16491 +f 17114/16511 17120/16512 17109/16483 17103/16495 +f 17122/16501 17111/16513 17106/16493 17117/16502 +f 17035/16514 17073/16515 17243/16516 17242/16517 +f 17111/16513 17100/16518 17095/16494 17106/16493 +f 17692/16506 16879/16505 16872/16519 17676/16520 +f 17676/16520 16872/16519 16865/16521 17660/16522 +f 17120/16512 17119/16509 17108/16484 17109/16483 +f 17130/16523 17129/16498 17117/16502 17118/16510 +f 17126/16524 17132/16525 17120/16512 17114/16511 +f 17241/16526 17242/16499 17036/16435 17026/16414 +f 17101/16490 17102/16489 17089/16527 17088/16528 +f 17660/16522 16865/16521 17254/15589 17644/15622 +f 17132/16525 17131/16529 17119/16509 17120/16512 +f 17135/16530 17136/16531 17125/16508 17124/16507 +f 17131/16529 17130/16523 17118/16510 17119/16509 +f 17137/16532 17143/16533 17132/16525 17126/16524 +f 17242/16517 17241/16534 17024/16535 17035/16514 +f 17628/15621 17235/15588 17234/16536 17612/16537 +f 17143/16533 17142/16538 17131/16529 17132/16525 +f 17146/16539 17147/16540 17136/16531 17135/16530 +f 17142/16538 17141/16541 17130/16523 17131/16529 +f 17141/16541 17140/16482 17129/16498 17130/16523 +f 17026/16414 17015/16413 17240/16542 17241/16526 +f 17073/16515 17035/16514 17031/16431 17069/16455 +f 17612/16537 17234/16536 17233/16543 17596/16544 +f 17154/16545 17153/16546 17142/16538 17143/16533 +f 17157/16547 17158/16548 17147/16540 17146/16539 +f 17153/16546 17152/16549 17141/16541 17142/16538 +f 17152/16549 17151/16480 17140/16482 17141/16541 +f 17148/16550 17154/16545 17143/16533 17137/16532 +f 17035/16514 17024/16535 17020/16421 17031/16431 +f 17165/16551 17164/16552 17153/16546 17154/16545 +f 17169/16553 17170/16554 17158/16548 17157/16547 +f 17164/16552 17163/16555 17152/16549 17153/16546 +f 17163/16555 17162/16478 17151/16480 17152/16549 +f 17159/16556 17165/16551 17154/16545 17148/16550 +f 17024/16535 17013/16557 17009/16422 17020/16421 +f 17241/16534 17240/16558 17013/16557 17024/16535 +f 17015/16413 17016/16416 16987/16387 16986/16386 +f 17237/16559 17238/16560 16986/16386 16979/16377 +f 17177/16561 17176/16562 17164/16552 17165/16551 +f 17180/16563 17181/16564 17170/16554 17169/16553 +f 17176/16562 17175/16565 17163/16555 17164/16552 +f 17175/16565 17174/16476 17162/16478 17163/16555 +f 17171/16566 17177/16561 17165/16551 17159/16556 +f 17238/16560 17240/16542 17015/16413 16986/16386 +f 17240/16558 17238/16567 16985/16568 17013/16557 +f 16974/16382 16981/16389 16985/16568 16978/16569 +f 17236/16570 17237/16559 16979/16377 16972/16376 +f 17192/16571 17193/16572 17181/16564 17180/16563 +f 17187/16573 17186/16574 17175/16565 17176/16562 +f 17186/16574 17185/16473 17174/16476 17175/16565 +f 17182/16575 17188/16576 17177/16561 17171/16566 +f 16978/16569 16970/16577 16966/16383 16974/16382 +f 17009/16422 17013/16557 16985/16568 16981/16389 +f 17188/16576 17187/16573 17176/16562 17177/16561 +f 17207/16578 17208/16579 17183/16580 17172/16581 +f 17173/16582 17184/16583 17208/16579 17207/16578 +f 17172/16581 17160/16584 17209/16585 17207/16578 +f 17256/16586 17209/16585 17160/16584 17149/16587 +f 17161/16588 17173/16582 17207/16578 17209/16585 +f 17150/16589 17161/16588 17209/16585 17256/16586 +f 17256/16586 17255/16590 17139/16591 17150/16589 +f 17255/16590 17256/16586 17149/16587 17138/16592 +f 17128/16593 17139/16591 17255/16590 17257/16594 +f 17116/16595 17128/16593 17257/16594 17258/16596 +f 17105/16597 17116/16595 17258/16596 17259/16598 +f 17094/16599 17105/16597 17259/16598 17260/16600 +f 17244/16601 17245/16602 17101/16490 17088/16528 +f 17257/16594 17255/16590 17138/16592 17127/16603 +f 17087/16604 17100/16518 17245/16605 17244/16606 +f 17258/16596 17257/16594 17127/16603 17115/16607 +f 17259/16598 17258/16596 17115/16607 17104/16608 +f 17104/16608 17093/16609 17260/16600 17259/16598 +f 17095/16494 17100/16518 17087/16604 17082/16610 +f 17096/16492 17095/16494 17082/16610 17083/16611 +f 17030/16612 17068/16613 17206/16614 17205/16615 +f 17230/16616 17231/16617 17210/16313 17211/16618 +f 17229/16619 17230/16616 17211/16618 17212/16620 +f 17580/16621 17078/16622 17074/16623 17564/16624 +f 17757/16625 17516/16468 16910/16469 17145/16626 +f 17500/16627 16971/16628 16998/16629 17484/16630 +f 17414/16631 17005/16632 17014/16633 17417/16634 +f 17384/16635 17222/16636 17091/16637 17385/16638 +f 17777/16639 17156/16342 17220/16640 17287/16641 +f 17295/16642 17179/16643 17191/16644 17303/16645 +f 17287/16641 17220/16640 17179/16643 17295/16642 +f 17270/16467 17217/16466 17216/16472 16889/16429 +f 17004/16309 17224/16308 17225/16355 17003/16465 +f 17278/16461 17218/16339 17156/16342 17777/16639 +f 17867/16427 17880/16443 17226/16446 17043/16442 +f 16955/16353 17224/16308 17223/16311 16963/16646 +f 17219/16310 17210/16313 17231/16617 17232/16403 +f 17019/16647 17030/16612 17205/16615 17204/16648 +f 17008/16649 17019/16647 17204/16648 17203/16650 +f 17010/16419 17009/16422 16981/16389 16982/16388 +f 17011/16420 17010/16419 16982/16388 16983/16385 +f 16895/16651 16898/16652 17202/16653 17201/16654 +f 17201/16654 17200/16655 16908/16656 16895/16651 +f 17205/16615 17206/16614 17067/16657 17029/16658 +f 17199/16659 17000/16394 16908/16656 17200/16655 +f 17204/16648 17205/16615 17029/16658 17018/16660 +f 17199/16659 17198/16661 16901/16301 17000/16394 +f 17203/16650 17204/16648 17018/16660 17007/16662 +f 17012/16425 17011/16420 16983/16385 16984/16384 +f 17006/16426 17012/16425 16984/16384 16896/16402 +f 17201/16654 17202/16653 16897/16663 16894/16664 +f 16863/16299 16901/16301 17198/16661 17197/16665 +f 16894/16664 16907/16666 17200/16655 17201/16654 +f 17197/16665 17196/16667 16870/16297 16863/16299 +f 16996/16668 17199/16659 17200/16655 16907/16666 +f 16996/16668 16900/16669 17198/16661 17199/16659 +f 17197/16665 17198/16661 16900/16669 16862/16670 +f 17774/16671 17784/16672 17280/16673 17281/16674 +f 17156/16342 17773/16341 17285/16675 17220/16640 +f 17776/16676 17774/16671 17281/16674 17282/16677 +f 17281/16674 17280/16673 17289/16678 17290/16679 +f 17220/16640 17285/16675 17293/16680 17179/16643 +f 17282/16677 17281/16674 17290/16679 17291/16681 +f 17290/16679 17289/16678 17297/16682 17298/16683 +f 17179/16643 17293/16680 17301/16684 17191/16644 +f 17291/16681 17290/16679 17298/16683 17299/16685 +f 17343/16686 17320/16687 17340/16688 17335/16689 +f 17056/16690 17055/16691 17322/16692 17323/16693 +f 17323/16693 17322/16692 17328/16694 17329/16695 +f 17320/16687 17321/16696 17057/16697 17340/16688 +f 17336/16698 17342/16699 17337/16700 17341/16701 +f 17820/16452 17332/14964 17326/15223 17821/16702 +f 17787/16703 17798/16704 17319/16705 17058/16706 +f 17054/16707 17053/16708 17342/16699 17336/16698 +f 17196/16667 17195/16709 16877/16295 16870/16297 +f 17056/16690 17323/16693 17340/16688 17057/16697 +f 17329/16695 17335/16689 17340/16688 17323/16693 +f 17054/16707 17336/16698 17322/16692 17055/16691 +f 17322/16692 17336/16698 17341/16701 17328/16694 +f 17307/16710 17306/16711 17359/16712 17360/16713 +f 17306/16711 17305/16714 17358/16715 17359/16712 +f 17311/16716 17316/16717 17358/16715 17305/16714 +f 17221/16718 17316/16717 17311/16716 17215/16719 +f 17215/16719 17309/16720 17346/16721 17221/16718 +f 17344/16722 17330/16723 17324/16724 17345/16725 +f 17339/16726 17324/16724 17330/16723 17334/16727 +f 17338/16728 17339/16726 17334/16727 17333/16729 +f 17313/16730 17338/16728 17333/16729 17331/16731 +f 17317/16732 17313/16730 17331/16731 17327/16733 +f 17353/16734 17355/16735 17367/16736 17361/16737 +f 17351/16738 17352/16739 17362/16740 17363/16741 +f 17355/16735 17354/16742 17368/16743 17367/16736 +f 17356/16744 17353/16734 17361/16737 17366/16745 +f 17354/16742 17351/16738 17363/16741 17368/16743 +f 17345/16725 17324/16724 17353/16734 17356/16744 +f 17373/16746 17372/16747 17376/16748 17377/16749 +f 17372/16747 17371/16750 17375/16751 17376/16748 +f 17355/16735 17353/16734 17324/16724 17339/16726 +f 17222/16636 17369/16752 17370/16753 17091/16637 +f 17407/16754 17406/16755 17411/16756 17412/16757 +f 17406/16755 17405/16758 17410/16759 17411/16756 +f 17005/16632 17409/16760 17415/16761 17014/16633 +f 17849/16762 17850/16763 17962/16764 17961/16765 +f 17401/16766 17407/16754 17408/16767 17402/16768 +f 17401/16766 17400/16769 17406/16755 17407/16754 +f 17860/16770 17861/16771 17965/15293 17966/15292 +f 17859/16772 17860/16770 17966/15292 17967/15296 +f 17400/16769 17399/16773 17405/16758 17406/16755 +f 17404/16774 17414/16631 17405/16758 17399/16773 +f 17846/16775 17847/16776 17390/16777 17959/16778 +f 17382/16779 17388/16780 17389/16781 17383/16782 +f 17382/16779 17381/16783 17387/16784 17388/16780 +f 17381/16783 17380/16785 17386/16786 17387/16784 +f 17462/16787 17392/16788 17386/16786 17380/16785 +f 17123/16789 17392/16788 17462/16787 17025/16790 +f 17025/16790 17463/16791 17391/16792 17123/16789 +f 17439/16793 17440/16794 17435/16795 17434/16796 +f 17440/16794 17442/16797 17437/16798 17435/16795 +f 17442/16797 17441/16799 17436/16800 17437/16798 +f 17441/16799 17438/16801 17433/16802 17436/16800 +f 17423/16803 17420/16804 17433/16802 17438/16801 +f 17444/16805 17445/16806 17440/16794 17439/16793 +f 17445/16806 17447/16807 17442/16797 17440/16794 +f 17447/16807 17446/16808 17441/16799 17442/16797 +f 17446/16808 17443/16809 17438/16801 17441/16799 +f 17438/16801 17443/16809 17426/16810 17423/16803 +f 17005/16632 17414/16631 17404/16774 16903/16811 +f 16903/16811 17403/16812 17409/16760 17005/16632 +f 17845/16813 17846/16775 17959/16778 17379/16814 +f 17377/16749 17382/16779 17383/16782 17378/16815 +f 17377/16749 17376/16748 17381/16783 17382/16779 +f 16991/16816 16961/16817 16957/16361 16995/16369 +f 17376/16748 17375/16751 17380/16785 17381/16783 +f 17385/16638 17462/16787 17380/16785 17375/16751 +f 17025/16790 17462/16787 17385/16638 17091/16637 +f 17091/16637 17370/16753 17463/16791 17025/16790 +f 17184/16583 17173/16582 17181/16564 17193/16572 +f 17173/16582 17161/16588 17170/16554 17181/16564 +f 17161/16588 17150/16589 17158/16548 17170/16554 +f 17150/16589 17139/16591 17147/16540 17158/16548 +f 17136/16531 17147/16540 17139/16591 17128/16593 +f 17125/16508 17136/16531 17128/16593 17116/16595 +f 16961/16817 16954/16818 16949/16357 16957/16361 +f 16931/16312 17004/16309 17003/16465 16932/16337 +f 17784/16672 17777/16639 17287/16641 17280/16673 +f 17280/16673 17287/16641 17295/16642 17289/16678 +f 17289/16678 17295/16642 17303/16645 17297/16682 +f 17818/16819 17317/16732 17327/16733 17819/16820 +f 17354/16742 17355/16735 17339/16726 17338/16728 +f 17351/16738 17354/16742 17338/16728 17313/16730 +f 17371/16750 17384/16635 17385/16638 17375/16751 +f 17123/16789 17391/16792 17397/16821 16892/16822 +f 16892/16822 17397/16821 17403/16812 16903/16811 +f 17417/16634 17410/16759 17405/16758 17414/16631 +f 17432/16823 17467/16824 17451/16825 17452/16826 +f 17452/16826 17450/16827 17468/16828 17432/16823 +f 17429/16829 17449/16830 17469/16831 17470/16832 +f 17467/16824 17469/16831 17449/16830 17451/16825 +f 17476/16833 17475/16834 17471/16835 17472/16836 +f 17731/16837 17476/16833 17472/16836 17730/16838 +f 17479/16839 17412/16757 17411/16756 17480/16840 +f 17481/16841 17485/16842 17501/16843 17497/16844 +f 16971/16628 17501/16843 17485/16842 16998/16629 +f 17499/16845 17504/16846 17488/16847 17483/16848 +f 17116/16595 17105/16597 17113/16488 17125/16508 +f 17482/16849 17481/16841 17497/16844 17498/16850 +f 17509/16851 17508/16852 17492/16853 17493/16854 +f 17105/16597 17094/16599 17102/16489 17113/16488 +f 17504/16846 17506/16855 17490/16856 17488/16847 +f 17733/16857 17509/16851 17493/16854 17732/16858 +f 17483/16848 17489/16859 17505/16860 17499/16845 +f 17491/16861 17490/16856 17506/16855 17507/16862 +f 17496/16863 17482/16849 17498/16850 17512/16864 +f 17749/16865 17525/16866 17524/16867 17748/16868 +f 17750/16869 17734/16870 17525/16866 17749/16865 +f 17750/16871 17751/16872 17526/16873 17734/16874 +f 17145/16626 16910/16469 17517/16875 17756/16876 +f 17089/16527 17102/16489 17094/16599 17081/16877 +f 17068/16613 17076/16464 17089/16527 17081/16877 +f 17037/16436 17076/16464 17068/16613 17030/16612 +f 17030/16612 17019/16647 17027/16415 17037/16436 +f 17579/16878 17584/16879 17568/16880 17563/16881 +f 17016/16416 17027/16415 17019/16647 17008/16649 +f 17562/16882 17561/16883 17577/16884 17578/16885 +f 17589/16886 17588/16887 17572/16888 17573/16889 +f 16987/16387 17016/16416 17008/16649 16898/16652 +f 17584/16879 17586/16890 17570/16891 17568/16880 +f 17738/16892 17589/16886 17573/16889 17737/16893 +f 17563/16881 17569/16894 17585/16895 17579/16878 +f 17571/16896 17570/16891 17586/16890 17587/16897 +f 17576/16898 17562/16882 17578/16885 17592/16899 +f 17561/16883 17565/16900 17581/16901 17577/16884 +f 17078/16622 17581/16901 17565/16900 17074/16623 +f 17579/16878 17585/16895 17601/16902 17595/16903 +f 17601/16902 17585/16895 17588/16887 17604/16904 +f 17605/16905 17604/16904 17588/16887 17589/16886 +f 17739/16906 17605/16905 17589/16886 17738/16892 +f 17590/16907 17606/16908 17739/16909 17738/16910 +f 17606/16908 17590/16907 17591/16911 17607/16912 +f 17607/16912 17591/16911 17592/16899 17608/16913 +f 17740/16914 17621/16915 17605/16905 17739/16906 +f 17595/16903 17601/16902 17617/16916 17611/16917 +f 17603/16918 17602/16919 17618/16920 17619/16921 +f 17608/16913 17594/16922 17610/16923 17624/16924 +f 17593/16925 17597/16926 17613/16927 17609/16928 +f 17234/16536 17613/16927 17597/16926 17233/16543 +f 17611/16917 17616/16929 17600/16930 17595/16903 +f 16980/16378 16987/16387 16898/16652 16895/16651 +f 17594/16922 17593/16925 17609/16928 17610/16923 +f 17621/16915 17620/16931 17604/16904 17605/16905 +f 16895/16651 16908/16656 16973/16379 16980/16378 +f 17616/16929 17618/16920 17602/16919 17600/16930 +f 17235/15588 17629/15587 17613/16927 17234/16536 +f 17627/15869 17632/15746 17616/16929 17611/16917 +f 16908/16656 16909/16932 16988/16933 16973/16379 +f 17610/16923 17609/16928 17625/16934 17626/16935 +f 17637/15875 17636/15874 17620/16931 17621/16915 +f 16909/16932 16911/16936 16964/16937 16988/16933 +f 17632/15746 17634/15740 17618/16920 17616/16929 +f 17741/16938 17637/15875 17621/16915 17740/16914 +f 17611/16917 17617/16916 17633/15871 17627/15869 +f 17619/16921 17618/16920 17634/15740 17635/15650 +f 17624/16924 17610/16923 17626/16935 17640/16939 +f 17609/16928 17613/16927 17629/15587 17625/16934 +f 16911/16936 16912/16940 16965/16941 16964/16937 +f 16965/16941 16912/16940 17262/16942 17269/16943 +f 17189/16944 17269/16943 17262/16942 17166/16945 +f 17864/16946 17865/16947 17189/16944 17166/16945 +f 17864/16946 17046/16948 17045/16949 17865/16947 +f 17664/16950 17666/16951 17650/15741 17648/15747 +f 17743/16952 17669/16953 17653/15876 17742/16954 +f 17643/15870 17649/15872 17665/16955 17659/16956 +f 17651/15651 17650/15741 17666/16951 17667/16957 +f 17656/16958 17642/16959 17658/16960 17672/16961 +f 17641/16962 17645/15590 17661/16963 17657/16964 +f 16865/16521 17661/16963 17645/15590 17254/15589 +f 17659/16956 17664/16950 17648/15747 17643/15870 +f 17045/16949 17046/16948 17785/16965 17786/16966 +f 17642/16959 17641/16962 17657/16964 17658/16960 +f 17669/16953 17668/16967 17652/15873 17653/15876 +f 17672/16961 17658/16960 17674/16968 17688/16969 +f 17657/16964 17661/16963 17677/16970 17673/16971 +f 16872/16519 17677/16970 17661/16963 16865/16521 +f 17675/16972 17680/16973 17664/16950 17659/16956 +f 17271/16974 17277/16975 17786/16966 17785/16965 +f 17658/16960 17657/16964 17673/16971 17674/16968 +f 17685/16976 17684/16977 17668/16967 17669/16953 +f 17799/16978 17277/16975 17271/16974 17778/16979 +f 17680/16973 17682/16980 17666/16951 17664/16950 +f 17744/16981 17685/16976 17669/16953 17743/16952 +f 17659/16956 17665/16955 17681/16982 17675/16972 +f 17667/16957 17666/16951 17682/16980 17683/16983 +f 17701/16984 17700/16985 17684/16977 17685/16976 +f 17778/16979 17279/16986 17286/16987 17799/16978 +f 17696/16988 17698/16989 17682/16980 17680/16973 +f 17745/16990 17701/16984 17685/16976 17744/16981 +f 17675/16972 17681/16982 17697/16991 17691/16992 +f 17683/16983 17682/16980 17698/16989 17699/16993 +f 17688/16969 17674/16968 17690/16994 17704/16995 +f 17673/16971 17677/16970 17693/16996 17689/16997 +f 16879/16505 17693/16996 17677/16970 16872/16519 +f 17691/16992 17696/16988 17680/16973 17675/16972 +f 17294/16998 17286/16987 17279/16986 17288/16999 +f 17674/16968 17673/16971 17689/16997 17690/16994 +f 17699/16993 17698/16989 17714/17000 17715/17001 +f 17704/16995 17690/16994 17706/17002 17720/17003 +f 17689/16997 17693/16996 17709/17004 17705/17005 +f 16990/16504 17709/17004 17693/16996 16879/16505 +f 17707/17006 17712/17007 17696/16988 17691/16992 +f 17302/17008 17294/16998 17288/16999 17296/17009 +f 17690/16994 17689/16997 17705/17005 17706/17002 +f 17717/17010 17716/17011 17700/16985 17701/16984 +f 17712/17007 17714/17000 17698/16989 17696/16988 +f 17746/17012 17717/17010 17701/16984 17745/16990 +f 17691/16992 17697/16991 17713/17013 17707/17006 +f 17304/17014 17312/17015 17315/17016 17310/17017 +f 17312/17015 17349/17018 17350/17019 17315/17016 +f 17349/17018 17365/17020 17364/17021 17350/17019 +f 17722/17022 17706/17002 17705/17005 17721/17023 +f 17728/17024 17720/17003 17706/17002 17722/17022 +f 17718/17025 17719/17026 17727/17027 17726/17028 +f 17717/17010 17725/17029 17724/17030 17716/17011 +f 17365/17020 17466/17031 17464/17032 17364/17021 +f 17418/17033 17464/17032 17466/17031 17419/17034 +f 17697/16991 17700/16985 17716/17011 17713/17013 +f 17419/17034 17422/17035 17421/17036 17418/17033 +f 17422/17035 17425/17037 17424/17038 17421/17036 +f 17702/17039 17703/17040 17719/17026 17718/17025 +f 16991/16816 16995/16369 16966/16383 16970/16577 +f 16967/16381 16966/16383 16995/16369 16994/16368 +f 17700/16985 17697/16991 17681/16982 17684/16977 +f 17703/17040 17702/17039 17686/17041 17687/17042 +f 17670/17043 17671/17044 17687/17042 17686/17041 +f 17665/16955 17668/16967 17684/16977 17681/16982 +f 17649/15872 17652/15873 17668/16967 17665/16955 +f 17654/17045 17655/17046 17671/17044 17670/17043 +f 17639/17047 17638/17048 17622/17049 17623/17050 +f 17617/16916 17620/16931 17636/15874 17633/15871 +f 17601/16902 17604/16904 17620/16931 17617/16916 +f 17606/16908 17607/16912 17623/17050 17622/17049 +f 17592/16899 17578/16885 17594/16922 17608/16913 +f 17578/16885 17577/16884 17593/16925 17594/16922 +f 17577/16884 17581/16901 17597/16926 17593/16925 +f 17569/16894 17572/16888 17588/16887 17585/16895 +f 17233/16543 17597/16926 17581/16901 17078/16622 +f 17591/16911 17590/16907 17574/17051 17575/17052 +f 16968/16374 16967/16381 16994/16368 16992/16367 +f 17425/17037 17428/17053 17427/17054 17424/17038 +f 17428/17053 17431/17055 17430/17056 17427/17054 +f 17489/16859 17492/16853 17508/16852 17505/16860 +f 17450/16827 17471/16835 17475/16834 17468/16828 +f 17366/16745 17361/16737 17456/17057 17465/17058 +f 17378/16815 17374/17059 17373/16746 17377/16749 +f 17494/17060 17495/17061 17511/17062 17510/17063 +f 17478/17064 17477/17065 17473/17066 17474/17067 +f 17767/17068 17768/17069 16936/17070 16939/17071 +f 17719/17026 17720/17003 17728/17024 17727/17027 +f 17720/17003 17719/17026 17703/17040 17704/16995 +f 17745/17072 17702/17039 17718/17025 17746/17073 +f 17744/17074 17686/17041 17702/17039 17745/17072 +f 17704/16995 17703/17040 17687/17042 17688/16969 +f 17688/16969 17687/17042 17671/17044 17672/16961 +f 17743/17075 17670/17043 17686/17041 17744/17074 +f 17742/17076 17654/17045 17670/17043 17743/17075 +f 17672/16961 17671/17044 17655/17046 17656/16958 +f 17623/17050 17624/16924 17640/16939 17639/17047 +f 17624/16924 17623/17050 17607/16912 17608/16913 +f 17078/16622 17580/16621 17596/16544 17233/16543 +f 17596/16544 17580/16621 17582/17077 17598/17078 +f 17592/16899 17591/16911 17575/17052 17576/16898 +f 17495/17061 17496/16863 17512/16864 17511/17062 +f 17474/17067 17479/16839 17480/16840 17478/17064 +f 17229/16619 17212/16620 17213/17079 17228/17080 +f 16937/16343 16940/17081 17213/17079 17212/16620 +f 16937/16343 16938/16344 16941/17082 16940/17081 +f 17477/17065 17731/17083 17730/17084 17473/17066 +f 17732/17085 17494/17060 17510/17063 17733/17086 +f 17762/17087 17520/17088 17522/17089 17761/17090 +f 17763/17091 17515/17092 17520/17088 17762/17087 +f 17737/17093 17574/17051 17590/16907 17738/16910 +f 17487/17094 17486/17095 17430/17056 17431/17055 +f 17502/17096 17486/17095 17487/17094 17503/17097 +f 17739/16909 17606/16908 17622/17049 17740/17098 +f 17740/17098 17622/17049 17638/17048 17741/17099 +f 17555/15679 17554/15678 17570/16891 17571/16896 +f 16969/16375 16968/16374 16992/16367 16993/16366 +f 16906/16401 16969/16375 16993/16366 16997/16399 +f 17515/17092 17531/17100 17536/17101 17520/17088 +f 17520/17088 17536/17101 17538/15677 17522/17089 +f 17539/15676 17523/17102 17522/17089 17538/15677 +f 16910/16469 16916/15861 17533/15863 17517/16875 +f 17529/15936 17513/17103 17517/16875 17533/15863 +f 17530/15887 17514/17104 17513/17103 17529/15936 +f 17544/15886 17528/17105 17514/17104 17530/15887 +f 17543/15885 17527/17106 17528/17105 17544/15886 +f 17527/17106 17543/15885 17542/17107 17526/16873 +f 17526/16873 17542/17107 17735/17108 17734/16874 +f 17734/16870 17735/17109 17541/17110 17525/16866 +f 17525/16866 17541/17110 17540/17111 17524/16867 +f 17537/17112 17521/17113 17524/16867 17540/17111 +f 17531/17100 17515/17092 17521/17113 17537/17112 +f 17515/17092 17763/17091 17747/17114 17521/17113 +f 17524/16867 17521/17113 17747/17114 17748/16868 +f 17527/17106 17526/16873 17751/16872 17752/17115 +f 17528/17105 17527/17106 17752/17115 17753/17116 +f 17528/17105 17753/17116 17754/17117 17514/17104 +f 17514/17104 17754/17117 17755/17118 17513/17103 +f 17513/17103 17755/17118 17756/16876 17517/16875 +f 16862/16670 16868/17119 17196/16667 17197/16665 +f 16868/17119 16875/17120 17195/16709 17196/16667 +f 17710/17121 17694/17122 17695/17123 17711/17124 +f 17523/17102 17760/17125 17761/17090 17522/17089 +f 17806/17126 17807/17127 17781/17128 17780/17129 +f 17054/16707 17055/16691 17783/17130 17782/17131 +f 16875/17120 16882/17132 17194/17133 17195/16709 +f 17065/17134 17765/17135 17194/17133 16882/17132 +f 16941/17082 16938/16344 17265/16306 17266/17136 +f 16915/17137 17266/17136 17265/16306 16914/16307 +f 16954/16818 16930/17138 16945/16350 16949/16357 +f 16926/16334 16945/16350 16930/17138 16933/17139 +f 17264/16302 17265/16306 16938/16344 16935/16338 +f 17263/16303 17264/16302 16935/16338 16932/16337 +f 16932/16337 17003/16465 17270/16467 17263/16303 +f 17225/16355 16956/16354 17268/16470 17217/16466 +f 17195/16709 17194/17133 16884/16292 16877/16295 +f 17194/17133 17765/17135 17064/17140 16884/16292 +f 17679/17141 17695/17123 17694/17122 17678/17142 +f 17678/17142 17662/17143 17663/17144 17679/17141 +f 17001/16395 16905/16324 17059/17145 17318/17146 +f 17060/17147 17059/17145 16905/16324 16867/16322 +f 16867/16322 16874/16320 17061/17148 17060/17147 +f 17769/16448 16924/16331 16923/16330 17770/16449 +f 17870/16437 17040/16362 17039/17149 17871/17150 +f 17816/17151 17050/17152 16887/16317 17812/16327 +f 17771/16450 16922/16333 16921/16335 17772/17153 +f 16962/17154 17039/17149 17040/16362 16953/16365 +f 17647/15648 17663/17144 17662/17143 17646/15623 +f 17827/17155 17806/17126 17780/17129 17824/17156 +f 17809/17157 17058/16706 17791/17158 17788/17159 +f 17273/17160 17272/17161 17784/16672 17774/16671 +f 17000/16394 16999/16370 16909/16932 16908/16656 +f 17058/16706 17319/16705 17790/17162 17791/17158 +f 17278/16461 17272/17161 17795/16441 17794/16440 +f 17053/16708 17054/16707 17782/17131 16925/17163 +f 16965/16941 17269/16943 17268/16470 16956/16354 +f 17274/17164 17273/17160 17774/16671 17776/16676 +f 17274/17164 17275/17165 16962/17154 16953/16365 +f 17226/16446 17044/16445 17793/17166 17168/16460 +f 17041/16363 17042/16439 17795/16441 17796/16364 +f 17808/17167 17809/17157 17788/17159 17789/17168 +f 17272/17161 17278/16461 17777/16639 17784/16672 +f 16881/16318 16887/16317 17050/17152 17049/17169 +f 16874/16320 16881/16318 17049/17169 17061/17148 +f 17133/16392 17121/16459 17318/17146 17059/17145 +f 16964/16937 16965/16941 16956/16354 16955/16353 +f 17807/17127 17808/17167 17789/17168 17781/17128 +f 17775/17170 17275/17165 17274/17164 17776/16676 +f 17055/16691 17056/16690 17797/17171 17783/17130 +f 17815/16451 17053/16708 16925/17163 17823/17172 +f 17056/16690 17057/16697 17787/16703 17797/17171 +f 17776/16676 17282/16677 17283/17173 17775/17170 +f 17630/15624 17614/17174 17615/17175 17631/15649 +f 17057/16697 17321/16696 17798/16704 17787/16703 +f 17863/17176 17362/16740 17352/16739 17822/17177 +f 17791/17158 17790/17162 17048/17178 17047/17179 +f 16963/16646 17239/17180 17236/16570 16972/16376 +f 17599/17181 17615/17175 17614/17174 17598/17078 +f 17583/17182 17599/17181 17598/17078 17582/17077 +f 16955/16353 16963/16646 16988/16933 16964/16937 +f 16972/16376 16973/16379 16988/16933 16963/16646 +f 17168/16460 17793/17166 17276/16340 17218/16339 +f 16889/16429 16890/16304 17263/16303 17270/16467 +f 17796/16364 17795/16441 17272/17161 17273/17160 +f 16953/16365 17796/16364 17273/17160 17274/17164 +f 17282/16677 17291/16681 17292/17183 17283/17173 +f 17291/16681 17299/16685 17300/17184 17292/17183 +f 17788/17159 17791/17158 17047/17179 17800/17185 +f 17099/16412 17110/16393 17060/17147 17061/17148 +f 17090/16410 17099/16412 17061/17148 17049/17169 +f 17086/16407 17090/16410 17049/17169 17050/17152 +f 17814/16408 17086/16407 17050/17152 17816/17151 +f 17797/17171 17787/16703 17058/16706 17809/17157 +f 17789/17168 17788/17159 17800/17185 17801/17186 +f 17781/17128 17789/17168 17801/17186 17802/17187 +f 17780/17129 17781/17128 17802/17187 17803/17188 +f 17824/17156 17780/17129 17803/17188 17826/17189 +f 17782/17131 17783/17130 17808/17167 17807/17127 +f 17823/17172 16925/17163 17806/17126 17827/17155 +f 17783/17130 17797/17171 17809/17157 17808/17167 +f 16925/17163 17782/17131 17807/17127 17806/17126 +f 17110/16393 17133/16392 17059/17145 17060/17147 +f 16933/17139 16936/17070 16921/16335 16926/16334 +f 17772/17153 16921/16335 16936/17070 17768/17069 +f 17223/16311 17792/16404 17239/17180 16963/16646 +f 17210/16313 16931/16312 16934/16336 17211/16618 +f 17212/16620 17211/16618 16934/16336 16937/16343 +f 17828/17190 17825/17191 16942/17192 17766/17193 +f 17829/17194 17830/17195 17214/17196 17227/17197 +f 17831/17198 17830/17195 17213/17079 16940/17081 +f 17831/17198 17832/17199 16944/17200 16943/17201 +f 17832/17199 17833/17202 17267/17203 16944/17200 +f 17834/17204 17833/17202 17266/17136 16915/17137 +f 17882/17205 17835/17206 17038/17207 17872/17208 +f 17836/17209 17835/17206 17039/17149 16962/17154 +f 17836/17209 17837/17210 17953/17211 17975/17212 +f 17838/17213 17837/17210 17275/17165 17775/17170 +f 17838/17213 17839/17214 17284/17215 17976/17216 +f 17839/17214 17840/17217 17954/17218 17284/17215 +f 17840/17217 17841/17219 17955/17220 17954/17218 +f 17842/17221 17843/17222 17957/17223 17956/17224 +f 17352/16739 17351/16738 17313/16730 17317/16732 +f 17822/17177 17352/16739 17317/16732 17818/16819 +f 17844/17225 17845/16813 17379/16814 17958/17226 +f 17453/17227 17456/17057 17361/16737 17367/16736 +f 17454/17228 17453/17227 17367/16736 17368/16743 +f 17456/17057 17433/16802 17420/16804 17465/17058 +f 17436/16800 17433/16802 17456/17057 17453/17227 +f 16892/16822 17398/17229 17392/16788 17123/16789 +f 17392/16788 17398/17229 17393/17230 17386/16786 +f 16903/16811 17404/16774 17398/17229 16892/16822 +f 17398/17229 17404/16774 17399/16773 17393/17230 +f 17426/16810 17443/16809 17449/16830 17429/16829 +f 17451/16825 17449/16830 17443/16809 17446/16808 +f 17851/17231 17850/16763 17408/16767 17413/17232 +f 17852/17233 17851/17231 17413/17232 17416/17234 +f 17852/17233 17853/17235 17973/17236 17964/17237 +f 17854/17238 17853/17235 17461/17239 17460/17240 +f 17854/17238 17855/17241 17974/17242 17972/17243 +f 17855/17244 17856/17245 17971/15825 17974/15824 +f 17857/17246 17856/17245 17459/17247 17458/17248 +f 17858/17249 17857/17246 17458/17248 17448/17250 +f 17859/16772 17858/17249 17448/17250 17444/16805 +f 17394/17251 17393/17230 17399/16773 17400/16769 +f 17395/17252 17394/17251 17400/16769 17401/16766 +f 17387/16784 17386/16786 17393/17230 17394/17251 +f 17388/16780 17387/16784 17394/17251 17395/17252 +f 17437/16798 17436/16800 17453/17227 17454/17228 +f 17435/16795 17437/16798 17454/17228 17457/17253 +f 17457/17253 17454/17228 17368/16743 17363/16741 +f 17455/17254 17457/17253 17363/16741 17362/16740 +f 17221/16718 17346/16721 17369/16752 17222/16636 +f 17222/16636 17384/16635 17316/16717 17221/16718 +f 17384/16635 17371/16750 17358/16715 17316/16717 +f 17371/16750 17372/16747 17359/16712 17358/16715 +f 17372/16747 17373/16746 17360/16713 17359/16712 +f 17307/16710 17360/16713 17357/17255 17308/17256 +f 17373/16746 17374/17059 17357/17255 17360/16713 +f 17843/17222 17357/17255 17374/17059 17844/17225 +f 17862/17257 17863/17176 17348/15840 17969/15839 +f 17434/16796 17435/16795 17457/17253 17455/17254 +f 17861/16771 17434/16796 17455/17254 17862/17257 +f 17388/16780 17395/17252 17396/17258 17389/16781 +f 17847/16776 17389/16781 17396/17258 17848/17259 +f 17395/17252 17401/16766 17402/16768 17396/17258 +f 17849/16762 17961/16765 17960/17260 17848/17259 +f 17452/16826 17451/16825 17446/16808 17447/16807 +f 17450/16827 17452/16826 17447/16807 17445/16806 +f 17413/17232 17408/16767 17407/16754 17412/16757 +f 17416/17234 17413/17232 17412/16757 17479/16839 +f 17461/17239 17416/17234 17479/16839 17474/17067 +f 17460/17240 17461/17239 17474/17067 17473/17066 +f 17473/17066 17730/17084 17729/17261 17460/17240 +f 17730/16838 17472/16836 17459/17247 17729/17262 +f 17472/16836 17471/16835 17458/17248 17459/17247 +f 17448/17250 17458/17248 17471/16835 17450/16827 +f 17448/17250 17450/16827 17445/16806 17444/16805 +f 16884/16292 17810/16314 17811/16315 16885/16293 +f 16919/14905 16918/15846 17812/16327 17813/16326 +f 16885/16293 17811/16315 17813/16326 16886/16316 +f 17873/15847 17881/16405 17814/16408 17077/15848 +f 17053/16708 17815/16451 17820/16452 17342/16699 +f 16884/16292 17064/17140 17817/16453 17810/16314 +f 17342/16699 17820/16452 17821/16702 17337/16700 +f 17402/16768 17408/16767 17850/16763 17849/16762 +f 17439/16793 17434/16796 17861/16771 17860/16770 +f 17444/16805 17439/16793 17860/16770 17859/16772 +f 17383/16782 17389/16781 17847/16776 17846/16775 +f 17378/16815 17383/16782 17846/16775 17845/16813 +f 17314/15849 17818/16819 17819/16820 17325/15850 +f 17051/15851 17816/17151 17812/16327 16918/15846 +f 17805/15852 17827/17155 17824/17156 17779/15853 +f 17052/14965 17815/16451 17823/17172 17764/15854 +f 17348/15840 17863/17176 17822/17177 17347/15855 +f 17077/15848 17814/16408 17816/17151 17051/15851 +f 17779/15853 17824/17156 17826/17189 17804/15856 +f 17764/15854 17823/17172 17827/17155 17805/15852 +f 17767/17068 16939/17071 17825/17191 17828/17190 +f 17228/17080 17213/17079 17830/17195 17829/17194 +f 16943/17201 17214/17196 17830/17195 17831/17198 +f 16940/17081 16941/17082 17832/17199 17831/17198 +f 16941/17082 17266/17136 17833/17202 17832/17199 +f 16917/17263 17267/17203 17833/17202 17834/17204 +f 17871/17150 17039/17149 17835/17206 17882/17205 +f 17975/17212 17038/17207 17835/17206 17836/17209 +f 16962/17154 17275/17165 17837/17210 17836/17209 +f 17976/17216 17953/17211 17837/17210 17838/17213 +f 17775/17170 17283/17173 17839/17214 17838/17213 +f 17283/17173 17292/17183 17840/17217 17839/17214 +f 17292/17183 17300/17184 17841/17219 17840/17217 +f 17308/17256 17357/17255 17843/17222 17842/17221 +f 17347/15855 17822/17177 17818/16819 17314/15849 +f 17374/17059 17378/16815 17845/16813 17844/17225 +f 17963/17264 17962/16764 17850/16763 17851/17231 +f 17964/17237 17963/17264 17851/17231 17852/17233 +f 17416/17234 17461/17239 17853/17235 17852/17233 +f 17972/17243 17973/17236 17853/17235 17854/17238 +f 17460/17240 17729/17261 17855/17241 17854/17238 +f 17729/17262 17459/17247 17856/17245 17855/17244 +f 17970/15859 17971/15825 17856/17245 17857/17246 +f 17968/15860 17970/15859 17857/17246 17858/17249 +f 17967/15296 17968/15860 17858/17249 17859/16772 +f 17957/17223 17843/17222 17844/17225 17958/17226 +f 17455/17254 17362/16740 17863/17176 17862/17257 +f 17965/15293 17861/16771 17862/17257 17969/15839 +f 17390/16777 17847/16776 17848/17259 17960/17260 +f 17402/16768 17849/16762 17848/17259 17396/17258 +f 16999/16370 17002/16371 16911/16936 16909/16932 +f 17002/16371 17001/16395 16912/16940 16911/16936 +f 17001/16395 17318/17146 17262/16942 16912/16940 +f 17166/16945 17262/16942 17318/17146 17121/16459 +f 17878/16458 17048/17178 17046/16948 17864/16946 +f 17785/16965 17046/16948 17048/17178 17790/17162 +f 17790/17162 17319/16705 17271/16974 17785/16965 +f 17778/16979 17271/16974 17319/16705 17798/16704 +f 17798/16704 17321/16696 17279/16986 17778/16979 +f 17321/16696 17320/16687 17288/16999 17279/16986 +f 17320/16687 17343/16686 17296/17009 17288/16999 +f 17344/16722 17345/16725 17312/17015 17304/17014 +f 17345/16725 17356/16744 17349/17018 17312/17015 +f 17356/16744 17366/16745 17365/17020 17349/17018 +f 17366/16745 17465/17058 17466/17031 17365/17020 +f 17419/17034 17466/17031 17465/17058 17420/16804 +f 17420/16804 17423/16803 17422/17035 17419/17034 +f 17423/16803 17426/16810 17425/17037 17422/17035 +f 17426/16810 17429/16829 17428/17053 17425/17037 +f 17429/16829 17470/16832 17431/17055 17428/17053 +f 17491/16861 17507/16862 17503/17097 17487/17094 +f 17760/17125 17523/17102 17519/17265 17759/17266 +f 17523/17102 17539/15676 17535/15684 17519/17265 +f 17571/16896 17587/16897 17583/17182 17567/17267 +f 17587/16897 17603/16918 17599/17181 17583/17182 +f 17587/16897 17586/16890 17602/16919 17603/16918 +f 17603/16918 17619/16921 17615/17175 17599/17181 +f 17619/16921 17635/15650 17631/15649 17615/17175 +f 17651/15651 17667/16957 17663/17144 17647/15648 +f 17646/15623 17662/17143 17660/16522 17644/15622 +f 17614/17174 17630/15624 17628/15621 17612/16537 +f 17598/17078 17614/17174 17612/16537 17596/16544 +f 17600/16930 17602/16919 17586/16890 17584/16879 +f 17595/16903 17600/16930 17584/16879 17579/16878 +f 17580/16621 17564/16624 17566/17268 17582/17077 +f 17563/16881 17568/16880 17552/17269 17547/17270 +f 17518/17271 17534/15694 17532/15696 17516/16468 +f 17758/17272 17518/17271 17516/16468 17757/16625 +f 17486/17095 17502/17096 17500/16627 17484/16630 +f 17427/17054 17430/17056 17415/16761 17409/16760 +f 17424/17038 17427/17054 17409/16760 17403/16812 +f 17421/17036 17424/17038 17403/16812 17397/16821 +f 17418/17033 17421/17036 17397/16821 17391/16792 +f 17391/16792 17463/16791 17464/17032 17418/17033 +f 17364/17021 17464/17032 17463/16791 17370/16753 +f 17350/17019 17364/17021 17370/16753 17369/16752 +f 17315/17016 17350/17019 17369/16752 17346/16721 +f 17310/17017 17315/17016 17346/16721 17309/16720 +f 17301/16684 17293/16680 17294/16998 17302/17008 +f 17293/16680 17285/16675 17286/16987 17294/16998 +f 17799/16978 17286/16987 17285/16675 17773/16341 +f 17773/16341 17276/16340 17277/16975 17799/16978 +f 17786/16966 17277/16975 17276/16340 17793/17166 +f 17793/17166 17044/16445 17045/16949 17786/16966 +f 17865/16947 17045/16949 17044/16445 17866/16444 +f 16888/16471 17268/16470 17269/16943 17189/16944 +f 17097/16485 17096/16492 17083/16611 17084/17273 +f 17098/16486 17097/16485 17084/17273 17085/17274 +f 17100/16518 17111/16513 17246/17275 17245/16605 +f 17111/16513 17122/16501 17247/17276 17246/17275 +f 17122/16501 17134/16497 17248/17277 17247/17276 +f 17134/16497 17144/16481 17249/17278 17248/17277 +f 17144/16481 17155/16479 17250/17279 17249/17278 +f 17155/16479 17167/16477 17251/17280 17250/17279 +f 17167/16477 17178/16475 17252/17281 17251/17280 +f 17178/16475 17190/16474 17253/17282 17252/17281 +f 17092/16496 17098/16486 17085/17274 17079/17283 +f 17080/17284 17093/16609 17092/16496 17079/17283 +f 17112/16487 17101/16490 17245/16602 17246/17285 +f 17246/17285 17247/17286 17124/16507 17112/16487 +f 17135/16530 17124/16507 17247/17286 17248/17287 +f 17146/16539 17135/16530 17248/17287 17249/17288 +f 17157/16547 17146/16539 17249/17288 17250/17289 +f 17169/16553 17157/16547 17250/17289 17251/17290 +f 17180/16563 17169/16553 17251/17290 17252/17291 +f 17252/17291 17253/17292 17192/16571 17180/16563 +f 16897/16663 17007/16662 17006/16426 16896/16402 +f 17238/16567 17237/17293 16978/16569 16985/16568 +f 17237/17293 17236/17294 16970/16577 16978/16569 +f 17236/17294 17239/17295 16991/16816 16970/16577 +f 17239/17295 17792/17296 16961/16817 16991/16816 +f 17792/17296 17232/17297 16954/16818 16961/16817 +f 17232/17297 17231/17298 16930/17138 16954/16818 +f 16933/17139 16930/17138 17231/17298 17230/17299 +f 16936/17070 16933/17139 17230/17299 17229/17300 +f 17229/17300 17228/17301 16939/17071 16936/17070 +f 17825/17191 16939/17071 17228/17301 17829/17302 +f 17829/17302 17227/17303 16942/17192 17825/17191 +f 17667/16957 17683/16983 17679/17141 17663/17144 +f 17683/16983 17699/16993 17695/17123 17679/17141 +f 17711/17124 17695/17123 17699/16993 17715/17001 +f 16883/16346 17063/16447 17065/17134 16882/17132 +f 16876/16345 16883/16346 16882/17132 16875/17120 +f 16869/16396 16876/16345 16875/17120 16868/17119 +f 16861/16397 16869/16396 16868/17119 16862/16670 +f 16862/16670 16900/16669 16899/16398 16861/16397 +f 16997/16399 16899/16398 16900/16669 16996/16668 +f 16906/16401 16997/16399 16996/16668 16907/16666 +f 16893/16400 16906/16401 16907/16666 16894/16664 +f 16894/16664 16897/16663 16896/16402 16893/16400 +f 17008/16649 17203/16650 17202/16653 16898/16652 +f 16897/16663 17202/16653 17203/16650 17007/16662 +f 17007/16662 17018/16660 17017/16423 17006/16426 +f 17018/16660 17029/16658 17028/16432 17017/16423 +f 17029/16658 17067/16657 17066/16456 17028/16432 +f 17080/17284 17261/17304 17260/16600 17093/16609 +f 17094/16599 17260/16600 17261/17304 17081/16877 +f 17103/16495 17092/16496 17093/16609 17104/16608 +f 17104/16608 17115/16607 17114/16511 17103/16495 +f 17115/16607 17127/16603 17126/16524 17114/16511 +f 17127/16603 17138/16592 17137/16532 17126/16524 +f 17148/16550 17137/16532 17138/16592 17149/16587 +f 17159/16556 17148/16550 17149/16587 17160/16584 +f 17171/16566 17159/16556 17160/16584 17172/16581 +f 17172/16581 17183/16580 17182/16575 17171/16566 +f 17432/16823 17468/16828 17489/16859 17483/16848 +f 17483/16848 17488/16847 17467/16824 17432/16823 +f 17488/16847 17490/16856 17469/16831 17467/16824 +f 17470/16832 17469/16831 17490/16856 17491/16861 +f 17431/17055 17470/16832 17491/16861 17487/17094 +f 17582/17077 17566/17268 17567/17267 17583/17182 +f 17567/17267 17566/17268 17550/15693 17551/15685 +f 17415/16761 17430/17056 17486/17095 17484/16630 +f 17014/16633 17415/16761 17484/16630 16998/16629 +f 16998/16629 17485/16842 17417/16634 17014/16633 +f 17410/16759 17417/16634 17485/16842 17481/16841 +f 17411/16756 17410/16759 17481/16841 17482/16849 +f 17480/16840 17411/16756 17482/16849 17496/16863 +f 17478/17064 17480/16840 17496/16863 17495/17061 +f 17495/17061 17494/17060 17477/17065 17478/17064 +f 17494/17060 17732/17085 17731/17083 17477/17065 +f 17732/16858 17493/16854 17476/16833 17731/16837 +f 17493/16854 17492/16853 17475/16834 17476/16833 +f 17492/16853 17489/16859 17468/16828 17475/16834 +f 17568/16880 17570/16891 17554/15678 17552/17269 +f 17551/15685 17555/15679 17571/16896 17567/17267 +f 16989/15862 17548/15695 17564/16624 17074/16623 +f 17545/15937 17549/15864 17565/16900 17561/16883 +f 17560/15883 17546/15888 17562/16882 17576/16898 +f 17575/17052 17574/17051 17558/17305 17559/15884 +f 17737/16893 17573/16889 17557/17306 17736/17307 +f 17572/16888 17569/16894 17553/17308 17556/17309 +f 17547/17270 17553/17308 17569/16894 17563/16881 +f 17573/16889 17572/16888 17556/17309 17557/17306 +f 17574/17051 17737/17093 17736/17310 17558/17305 +f 17559/15884 17560/15883 17576/16898 17575/17052 +f 17546/15888 17545/15937 17561/16883 17562/16882 +f 17074/16623 17565/16900 17549/15864 16989/15862 +f 17566/17268 17564/16624 17548/15695 17550/15693 +f 17662/17143 17678/17142 17676/16520 17660/16522 +f 17678/17142 17694/17122 17692/16506 17676/16520 +f 17708/16503 17692/16506 17694/17122 17710/17121 +f 17800/17185 17047/17179 17879/16391 17877/16390 +f 17826/17189 17803/17188 17874/16406 17881/16405 +f 17803/17188 17802/17187 17875/16409 17874/16406 +f 17802/17187 17801/17186 17876/16411 17875/16409 +f 17801/17186 17800/17185 17877/16390 17876/16411 +f 17043/16442 17042/16439 17868/16428 17867/16427 +f 17519/17265 17535/15684 17534/15694 17518/17271 +f 16914/16307 16891/16305 17869/16438 17870/16437 +f 16891/16305 16890/16304 17868/16428 17869/16438 +f 17216/16472 16888/16471 17866/16444 17880/16443 +f 17759/17266 17519/17265 17518/17271 17758/17272 +f 17047/17179 17048/17178 17878/16458 17879/16391 +f 16889/16429 17216/16472 17880/16443 17867/16427 +f 16914/16307 17870/16437 17871/17150 16915/17137 +f 17834/17204 17882/17205 17872/17208 16917/17263 +f 17804/15856 17826/17189 17881/16405 17873/15847 +f 16915/17137 17871/17150 17882/17205 17834/17204 +f 17121/16459 17878/16458 17864/16946 17166/16945 +f 17189/16944 17865/16947 17866/16444 16888/16471 +f 17067/16657 17206/16614 17261/17304 17080/17284 +f 17081/16877 17261/17304 17206/16614 17068/16613 +f 17066/16456 17067/16657 17080/17284 17079/17283 +f 17079/17283 17085/17274 17072/16457 17066/16456 +f 17085/17274 17084/17273 17071/16462 17072/16457 +f 17084/17273 17083/16611 17070/16454 17071/16462 +f 17083/16611 17082/16610 17069/16455 17070/16454 +f 17082/16610 17087/16604 17073/16515 17069/16455 +f 17087/16604 17244/16606 17243/16516 17073/16515 +f 17075/16463 17243/16500 17244/16601 17088/16528 +f 17088/16528 17089/16527 17076/16464 17075/16463 +f 17766/17193 17883/17311 17888/17312 17828/17190 +f 17772/17153 17887/17313 17886/17314 17771/16450 +f 17828/17190 17888/17312 17884/17315 17767/17068 +f 17768/17069 17885/17316 17887/17313 17772/17153 +f 17767/17068 17884/17315 17885/17316 17768/17069 +f 17883/17311 17889/17317 17894/17318 17888/17312 +f 17887/17313 17893/17319 17892/17320 17886/17314 +f 17888/17312 17894/17318 17890/17321 17884/17315 +f 17884/17315 17890/17321 17891/17322 17885/17316 +f 17885/17316 17891/17322 17893/17319 17887/17313 +f 17889/17317 17895/17323 17900/17324 17894/17318 +f 17893/17319 17899/17325 17898/17326 17892/17320 +f 17894/17318 17900/17324 17896/17327 17890/17321 +f 17890/17321 17896/17327 17897/17328 17891/17322 +f 17891/17322 17897/17328 17899/17325 17893/17319 +f 17895/17323 17901/17329 17906/17330 17900/17324 +f 17899/17325 17905/17331 17904/17332 17898/17326 +f 17900/17324 17906/17330 17902/17333 17896/17327 +f 17896/17327 17902/17333 17903/17334 17897/17328 +f 17897/17328 17903/17334 17905/17331 17899/17325 +f 17901/17329 17907/17335 17912/17336 17906/17330 +f 17905/17331 17911/17337 17910/17338 17904/17332 +f 17906/17330 17912/17336 17908/17339 17902/17333 +f 17902/17333 17908/17339 17909/17340 17903/17334 +f 17903/17334 17909/17340 17911/17337 17905/17331 +f 17064/17140 17914/17341 17917/17342 17817/16453 +f 17065/17134 17915/17343 17916/17344 17765/17135 +f 17765/17135 17916/17344 17914/17341 17064/17140 +f 17817/16453 17917/17342 17913/15972 17062/14966 +f 17914/17341 17919/17345 17922/17346 17917/17342 +f 17917/17342 17922/17346 17918/15975 17913/15972 +f 17915/17343 17920/17347 17921/17348 17916/17344 +f 17916/17344 17921/17348 17919/17345 17914/17341 +f 17920/17347 17925/17349 17926/17350 17921/17348 +f 17921/17348 17926/17350 17924/17351 17919/17345 +f 17919/17345 17924/17351 17927/17352 17922/17346 +f 17922/17346 17927/17352 17923/15982 17918/15975 +f 17924/17351 17929/17353 17932/17354 17927/17352 +f 17927/17352 17932/17354 17928/15985 17923/15982 +f 17925/17349 17930/17355 17931/17356 17926/17350 +f 17926/17350 17931/17356 17929/17353 17924/17351 +f 17931/17356 17936/17357 17934/17358 17929/17353 +f 17929/17353 17934/17358 17937/17359 17932/17354 +f 17932/17354 17937/17359 17933/15991 17928/15985 +f 17930/17355 17935/17360 17936/17357 17931/17356 +f 17770/16449 17940/17361 17939/17362 17769/16448 +f 17769/16448 17939/17362 17938/17363 17063/16447 +f 17940/17361 17943/17364 17942/17365 17939/17362 +f 17939/17362 17942/17365 17941/17366 17938/17363 +f 17943/17364 17946/17367 17945/17368 17942/17365 +f 17942/17365 17945/17368 17944/17369 17941/17366 +f 17946/17367 17949/17370 17948/17371 17945/17368 +f 17945/17368 17948/17371 17947/17372 17944/17369 +f 17949/17370 17952/17373 17951/17374 17948/17371 +f 17948/17371 17951/17374 17950/17375 17947/17372 +f 17938/17363 17915/17343 17065/17134 17063/16447 +f 17920/17347 17915/17343 17938/17363 17941/17366 +f 17925/17349 17920/17347 17941/17366 17944/17369 +f 17930/17355 17925/17349 17944/17369 17947/17372 +f 17935/17360 17930/17355 17947/17372 17950/17375 +f 17904/17332 17910/17338 17952/17373 17949/17370 +f 17898/17326 17904/17332 17949/17370 17946/17367 +f 17892/17320 17898/17326 17946/17367 17943/17364 +f 17886/17314 17892/17320 17943/17364 17940/17361 +f 17770/16449 17771/16450 17886/17314 17940/17361 +f 16650/16015 16635/16018 16634/16029 17723/17376 +f 17722/17022 17721/17023 16647/16047 16648/16051 +f 16657/16045 16656/16068 17724/17030 17725/17029 +f 16694/16042 16657/16045 17725/17029 16693/17377 +f 17728/17024 17722/17022 16648/16051 16661/16050 +f 17721/17023 16640/16028 16651/16027 16647/16047 +f 16659/16080 16658/16077 17726/17028 17727/17027 +f 16656/16068 16654/16026 16644/16025 17724/17030 +f 16661/16050 16659/16080 17727/17027 17728/17024 +f 16693/17378 17726/17028 16658/16077 16694/16076 +f 16650/16015 17723/17376 16641/16093 16637/16092 +f 17708/16503 17723/17376 16634/16029 16990/16504 +f 16990/16504 16634/16029 16640/16028 17709/17004 +f 17721/17023 17705/17005 17709/17004 16640/16028 +f 17746/17012 16693/17377 17725/17029 17717/17010 +f 17713/17013 17716/17011 17724/17030 16644/16025 +f 16646/16070 17715/17001 17714/17000 16645/16024 +f 17712/17007 16643/16021 16645/16024 17714/17000 +f 17707/17006 16639/16022 16643/16021 17712/17007 +f 16639/16022 17707/17006 17713/17013 16644/16025 +f 17746/17073 17718/17025 17726/17028 16693/17378 +f 17711/17124 16642/16094 16641/16093 17710/17121 +f 17715/17001 16646/16070 16642/16094 17711/17124 +f 17710/17121 16641/16093 17723/17376 17708/16503 +f 16724/16118 17983/16106 17984/16114 16726/16122 +f 16704/16108 17979/16199 17990/16202 16777/16109 +f 16824/16258 17999/16257 17998/16264 16847/16268 +f 16733/16141 17992/16126 17993/16129 16731/16143 +f 16859/16287 17978/16290 17995/16289 16856/16283 +f 16777/16109 17990/16202 17987/16222 16792/16218 +f 16792/16218 17987/16222 18002/16240 16809/16225 +f 16726/16122 17984/16114 17994/16117 16728/16124 +f 16735/16139 17991/16130 17992/16126 16733/16141 +f 16847/16268 17998/16264 17981/16103 16719/16121 +f 16779/16193 17989/16161 17988/16217 16790/16204 +f 16809/16225 18002/16240 17999/16257 16824/16258 +f 16811/16238 18001/16230 18000/16255 16822/16259 +f 16762/16182 17982/16183 17994/16117 16729/16116 +f 16702/16196 16856/16283 17995/16289 17980/16158 +f 16790/16204 17988/16217 18001/16230 16811/16238 +f 16702/16196 17980/16158 17989/16161 16779/16193 +f 16849/16281 17997/16273 17985/16134 16713/16155 +f 16855/16282 17996/16288 17977/16291 16857/16284 +f 16822/16259 18000/16255 17997/16273 16849/16281 +f 16719/16121 17981/16103 17983/16106 16724/16118 +f 16713/16155 17985/16134 17986/16132 16737/16138 +f 16762/16182 16731/16143 17993/16129 17982/16183 +f 16764/16188 17978/16290 17977/16291 16765/16189 +f 16703/16107 17996/16288 17979/16199 16704/16108 +f 16737/16138 17986/16132 17991/16130 16735/16139 +f 17327/16733 17331/16731 17341/16701 17337/16700 +f 17819/16820 17327/16733 17337/16700 17821/16702 +f 17821/16702 17326/15223 17325/15850 17819/16820 +f 17842/17221 17956/17224 17955/17220 17841/17219 +f 17841/17219 17300/17184 17308/17256 17842/17221 +f 17300/17184 17299/16685 17307/16710 17308/17256 +f 17299/16685 17298/16683 17306/16711 17307/16710 +f 17298/16683 17297/16682 17305/16714 17306/16711 +f 17311/16716 17305/16714 17297/16682 17303/16645 +f 17215/16719 17311/16716 17303/16645 17191/16644 +f 17191/16644 17301/16684 17309/16720 17215/16719 +f 17301/16684 17302/17008 17310/17017 17309/16720 +f 17304/17014 17310/17017 17302/17008 17296/17009 +f 17296/17009 17343/16686 17344/16722 17304/17014 +f 17343/16686 17335/16689 17330/16723 17344/16722 +f 17334/16727 17330/16723 17335/16689 17329/16695 +f 17333/16729 17334/16727 17329/16695 17328/16694 +f 17328/16694 17341/16701 17331/16731 17333/16729 +f 17625/16934 17629/15587 17645/15590 17641/16962 +f 17642/16959 17626/16935 17625/16934 17641/16962 +f 17656/16958 17640/16939 17626/16935 17642/16959 +f 17640/16939 17656/16958 17655/17046 17639/17047 +f 17654/17045 17638/17048 17639/17047 17655/17046 +f 17638/17048 17654/17045 17742/17076 17741/17099 +f 17637/15875 17741/16938 17742/16954 17653/15876 +f 16306/15470 16322/15494 16321/15484 16305/15467 +f 16302/15752 16318/15726 16322/15494 16306/15470 +f 16301/15751 16317/15727 16318/15726 16302/15752 +f 16317/15727 16301/15751 16299/15054 16315/15045 +f 15916/15057 15935/15046 16315/15045 16299/15054 +f 15935/15046 15916/15057 16300/15456 16316/15503 +f 16296/15462 16312/15500 16316/15503 16300/15456 +f 16297/15461 16313/15499 16312/15500 16296/15462 +f 16311/15471 16327/15496 16313/15499 16297/15461 +f 16327/15496 16311/15471 16310/15591 16326/15586 +f 16309/15594 16325/15585 16326/15586 16310/15591 +f 16325/15585 16309/15594 16412/15647 16413/15620 +f 16413/15487 16412/15468 16308/15463 16324/15488 +f 16324/15488 16308/15463 16307/15464 16323/15506 +f 16304/15469 16320/15493 16323/15506 16307/15464 +f 16298/15457 16314/15490 16320/15493 16304/15469 +f 16314/15490 16298/15457 16303/15458 16319/15483 +f 16319/15483 16303/15458 16305/15467 16321/15484 +f 17538/15677 17536/17101 17552/17269 17554/15678 +f 17531/17100 17547/17270 17552/17269 17536/17101 +f 17547/17270 17531/17100 17537/17112 17553/17308 +f 17540/17111 17556/17309 17553/17308 17537/17112 +f 17541/17110 17557/17306 17556/17309 17540/17111 +f 17735/17109 17736/17307 17557/17306 17541/17110 +f 17542/17107 17558/17305 17736/17310 17735/17108 +f 16231/15927 16215/15664 16214/15666 16230/15929 +f 16424/15681 16183/15388 16182/15606 16423/15680 +f 16183/15388 16424/15681 16425/15682 16169/15374 +f 16215/15664 16231/15927 16217/15928 16201/15662 +f 16201/15662 16217/15928 16216/15925 16200/15660 +f 16169/15374 16425/15682 16426/15683 16168/15366 +f 16200/15660 16216/15925 16220/15926 16204/15659 +f 15677/15923 15611/14984 16204/15659 16220/15926 +f 16168/15366 16426/15683 16427/15399 16172/15367 +f 15828/15146 15659/15150 16172/15367 16427/15399 +f 15659/15150 15828/15146 16428/15145 16171/15147 +f 16171/15147 16428/15145 16429/15882 16173/15644 +f 15611/14984 15677/15923 16219/15924 16203/14985 +f 16221/15922 16205/15881 16203/14985 16219/15924 +f 16222/15921 16206/15867 16205/15881 16221/15922 +f 16173/15644 16429/15882 16430/15865 16174/15645 +f 16174/15645 16430/15865 16431/15692 16178/15386 +f 16226/15652 16210/15657 16206/15867 16222/15921 +f 16178/15386 16431/15692 16432/15636 16177/15380 +f 16210/15657 16226/15652 16225/15653 16209/15656 +f 16223/15879 16207/15654 16209/15656 16225/15653 +f 16433/15635 16175/15372 16177/15380 16432/15636 +f 16434/15639 16170/15369 16175/15372 16433/15635 +f 16170/15369 16434/15639 16418/15675 16176/15383 +f 16176/15383 16418/15675 16419/15390 16179/15378 +f 16420/15389 16180/15375 16179/15378 16419/15390 +f 16421/15393 16404/15381 16180/15375 16420/15389 +f 16422/15398 16181/15605 16404/15634 16421/15395 +f 16181/15605 16422/15398 16423/15680 16182/15606 +f 16230/15929 16214/15666 16213/15668 16229/15930 +f 16229/15930 16213/15668 16406/15669 16407/15935 +f 16407/15931 16406/15671 16212/15670 16228/15932 +f 16228/15932 16212/15670 16211/15672 16227/15933 +f 16227/15933 16211/15672 16208/15673 16224/15934 +f 16202/15655 16218/15878 16224/15934 16208/15673 +f 16218/15878 16202/15655 16207/15654 16223/15879 +f 17499/16845 17763/17091 17762/17087 17504/16846 +f 17504/16846 17762/17087 17761/17090 17506/16855 +f 17760/17125 17507/16862 17506/16855 17761/17090 +f 17763/17091 17499/16845 17505/16860 17747/17114 +f 17747/17114 17505/16860 17508/16852 17748/16868 +f 17509/16851 17749/16865 17748/16868 17508/16852 +f 17733/16857 17750/16869 17749/16865 17509/16851 +f 17510/17063 17751/16872 17750/16871 17733/17086 +f 17751/16872 17510/17063 17511/17062 17752/17115 +f 17512/16864 17753/17116 17752/17115 17511/17062 +f 17753/17116 17512/16864 17498/16850 17754/17117 +f 17754/17117 17498/16850 17497/16844 17755/17118 +f 17755/17118 17497/16844 17501/16843 17756/16876 +f 16971/16628 17145/16626 17756/16876 17501/16843 +f 17145/16626 16971/16628 17500/16627 17757/16625 +f 17757/16625 17500/16627 17502/17096 17758/17272 +f 17758/17272 17502/17096 17503/17097 17759/17266 +f 17759/17266 17503/17097 17507/16862 17760/17125 +g joint-l-eye +f 13611/17379 13612/17380 13608/17381 13607/17382 +f 13612/17380 13613/17383 13609/17384 13608/17381 +f 13613/17383 13614/17385 13610/17386 13609/17384 +f 13614/17385 13611/17387 13607/17388 13610/17386 +f 13607/17382 13608/17381 13609/17389 13610/17390 +f 13614/17391 13613/17392 13612/17380 13611/17379 +g joint-r-eye +f 13619/17393 13615/17394 13616/17395 13620/17396 +f 13620/17394 13616/17397 13617/17398 13621/17395 +f 13621/17397 13617/17399 13618/17400 13622/17398 +f 13622/17399 13618/17401 13615/17402 13619/17400 +f 13615/17396 13618/17395 13617/17403 13616/17404 +f 13622/17405 13619/17406 13620/17394 13621/17393 +g joint-pelvis +f 13627/17407 13628/17408 13624/17409 13623/17410 +f 13628/17408 13629/17411 13625/17412 13624/17409 +f 13629/17411 13630/17413 13626/17414 13625/17412 +f 13630/17413 13627/17415 13623/17416 13626/17414 +f 13623/17410 13624/17409 13625/17417 13626/17418 +f 13630/17419 13629/17420 13628/17408 13627/17407 +g joint-spine-4 +f 13635/17421 13636/17422 13632/17423 13631/17424 +f 13636/17422 13637/17425 13633/17426 13632/17423 +f 13637/17425 13638/17427 13634/17428 13633/17426 +f 13638/17427 13635/17429 13631/17430 13634/17428 +f 13631/17424 13632/17423 13633/17431 13634/17432 +f 13638/17433 13637/17434 13636/17422 13635/17421 +g joint-spine-3 +f 13643/17435 13644/17436 13640/17437 13639/17438 +f 13644/17436 13645/17439 13641/17440 13640/17437 +f 13645/17439 13646/17441 13642/17442 13641/17440 +f 13646/17441 13643/17443 13639/17444 13642/17442 +f 13639/17438 13640/17437 13641/17445 13642/17446 +f 13646/17447 13645/17448 13644/17436 13643/17435 +g joint-spine-2 +f 13651/17449 13652/17450 13648/17451 13647/17452 +f 13652/17450 13653/17453 13649/17454 13648/17451 +f 13653/17453 13654/17455 13650/17456 13649/17454 +f 13654/17455 13651/17457 13647/17458 13650/17456 +f 13647/17452 13648/17451 13649/17459 13650/17460 +f 13654/17461 13653/17462 13652/17450 13651/17449 +g joint-spine-1 +f 13659/17463 13660/17464 13656/17465 13655/17466 +f 13660/17464 13661/17467 13657/17468 13656/17465 +f 13661/17467 13662/17469 13658/17470 13657/17468 +f 13662/17469 13659/17471 13655/17472 13658/17470 +f 13655/17466 13656/17465 13657/17473 13658/17474 +f 13662/17475 13661/17476 13660/17464 13659/17463 +g joint-l-foot-2 +f 13667/17477 13668/17478 13664/17479 13663/17480 +f 13668/17478 13669/17481 13665/17482 13664/17479 +f 13669/17481 13670/17483 13666/17484 13665/17482 +f 13670/17483 13667/17485 13663/17486 13666/17484 +f 13663/17480 13664/17479 13665/17487 13666/17488 +f 13670/17489 13669/17490 13668/17478 13667/17477 +g joint-l-foot-1 +f 13675/17491 13676/17492 13672/17493 13671/17494 +f 13676/17492 13677/17495 13673/17496 13672/17493 +f 13677/17495 13678/17497 13674/17498 13673/17496 +f 13678/17497 13675/17499 13671/17500 13674/17498 +f 13671/17494 13672/17493 13673/17501 13674/17502 +f 13678/17503 13677/17504 13676/17492 13675/17491 +g joint-l-toe-5-3 +f 13683/17505 13684/17506 13680/17507 13679/17508 +f 13684/17506 13685/17509 13681/17510 13680/17507 +f 13685/17509 13686/17511 13682/17512 13681/17510 +f 13686/17511 13683/17513 13679/17514 13682/17512 +f 13679/17508 13680/17507 13681/17515 13682/17516 +f 13686/17517 13685/17518 13684/17506 13683/17505 +g joint-l-toe-5-4 +f 13691/17519 13692/17520 13688/17521 13687/17522 +f 13692/17520 13693/17523 13689/17524 13688/17521 +f 13693/17523 13694/17525 13690/17526 13689/17524 +f 13694/17525 13691/17527 13687/17528 13690/17526 +f 13687/17522 13688/17521 13689/17529 13690/17530 +f 13694/17531 13693/17532 13692/17520 13691/17519 +g joint-l-toe-4-3 +f 13699/17533 13700/17534 13696/17535 13695/17536 +f 13700/17534 13701/17537 13697/17538 13696/17535 +f 13701/17537 13702/17539 13698/17540 13697/17538 +f 13702/17539 13699/17541 13695/17542 13698/17540 +f 13695/17536 13696/17535 13697/17543 13698/17544 +f 13702/17545 13701/17546 13700/17534 13699/17533 +g joint-l-toe-4-4 +f 13707/17547 13708/17548 13704/17549 13703/17550 +f 13708/17548 13709/17551 13705/17552 13704/17549 +f 13709/17551 13710/17553 13706/17554 13705/17552 +f 13710/17553 13707/17555 13703/17556 13706/17554 +f 13703/17550 13704/17549 13705/17557 13706/17558 +f 13710/17559 13709/17560 13708/17548 13707/17547 +g joint-l-toe-3-3 +f 13715/17561 13716/17562 13712/17563 13711/17564 +f 13716/17562 13717/17565 13713/17566 13712/17563 +f 13717/17565 13718/17567 13714/17568 13713/17566 +f 13718/17567 13715/17569 13711/17570 13714/17568 +f 13711/17564 13712/17563 13713/17571 13714/17572 +f 13718/17573 13717/17574 13716/17562 13715/17561 +g joint-l-toe-3-4 +f 13723/17575 13724/17576 13720/17577 13719/17578 +f 13724/17576 13725/17579 13721/17580 13720/17577 +f 13725/17579 13726/17581 13722/17582 13721/17580 +f 13726/17581 13723/17583 13719/17584 13722/17582 +f 13719/17578 13720/17577 13721/17585 13722/17586 +f 13726/17587 13725/17588 13724/17576 13723/17575 +g joint-l-toe-2-4 +f 13731/17589 13732/17590 13728/17591 13727/17592 +f 13732/17590 13733/17593 13729/17594 13728/17591 +f 13733/17593 13734/17595 13730/17596 13729/17594 +f 13734/17595 13731/17597 13727/17598 13730/17596 +f 13727/17592 13728/17591 13729/17599 13730/17600 +f 13734/17601 13733/17602 13732/17590 13731/17589 +g joint-l-toe-2-3 +f 13739/17603 13740/17604 13736/17605 13735/17606 +f 13740/17604 13741/17607 13737/17608 13736/17605 +f 13741/17607 13742/17609 13738/17610 13737/17608 +f 13742/17609 13739/17611 13735/17612 13738/17610 +f 13735/17606 13736/17605 13737/17613 13738/17614 +f 13742/17615 13741/17616 13740/17604 13739/17603 +g joint-l-toe-2-2 +f 13747/17617 13748/17618 13744/17619 13743/17620 +f 13748/17618 13749/17621 13745/17622 13744/17619 +f 13749/17621 13750/17623 13746/17624 13745/17622 +f 13750/17623 13747/17625 13743/17626 13746/17624 +f 13743/17620 13744/17619 13745/17627 13746/17628 +f 13750/17629 13749/17630 13748/17618 13747/17617 +g joint-l-toe-3-2 +f 13755/17631 13756/17632 13752/17633 13751/17634 +f 13756/17632 13757/17635 13753/17636 13752/17633 +f 13757/17635 13758/17637 13754/17638 13753/17636 +f 13758/17637 13755/17639 13751/17640 13754/17638 +f 13751/17634 13752/17633 13753/17641 13754/17642 +f 13758/17643 13757/17644 13756/17632 13755/17631 +g joint-l-toe-4-2 +f 13763/17645 13764/17646 13760/17647 13759/17648 +f 13764/17646 13765/17649 13761/17650 13760/17647 +f 13765/17649 13766/17651 13762/17652 13761/17650 +f 13766/17651 13763/17653 13759/17654 13762/17652 +f 13759/17648 13760/17647 13761/17655 13762/17656 +f 13766/17657 13765/17658 13764/17646 13763/17645 +g joint-l-toe-5-2 +f 13771/17659 13772/17660 13768/17661 13767/17662 +f 13772/17660 13773/17663 13769/17664 13768/17661 +f 13773/17663 13774/17665 13770/17666 13769/17664 +f 13774/17665 13771/17667 13767/17668 13770/17666 +f 13767/17662 13768/17661 13769/17669 13770/17670 +f 13774/17671 13773/17672 13772/17660 13771/17659 +g joint-l-toe-5-1 +f 13779/17673 13780/17674 13776/17675 13775/17676 +f 13780/17674 13781/17677 13777/17678 13776/17675 +f 13781/17677 13782/17679 13778/17680 13777/17678 +f 13782/17679 13779/17681 13775/17682 13778/17680 +f 13775/17676 13776/17675 13777/17683 13778/17684 +f 13782/17685 13781/17686 13780/17674 13779/17673 +g joint-l-toe-4-1 +f 13787/17687 13788/17688 13784/17689 13783/17690 +f 13788/17688 13789/17691 13785/17692 13784/17689 +f 13789/17691 13790/17693 13786/17694 13785/17692 +f 13790/17693 13787/17695 13783/17696 13786/17694 +f 13783/17690 13784/17689 13785/17697 13786/17698 +f 13790/17699 13789/17700 13788/17688 13787/17687 +g joint-l-toe-3-1 +f 13795/17701 13796/17702 13792/17703 13791/17704 +f 13796/17702 13797/17705 13793/17706 13792/17703 +f 13797/17705 13798/17707 13794/17708 13793/17706 +f 13798/17707 13795/17709 13791/17710 13794/17708 +f 13791/17704 13792/17703 13793/17711 13794/17712 +f 13798/17713 13797/17714 13796/17702 13795/17701 +g joint-l-toe-2-1 +f 13803/17715 13804/17716 13800/17717 13799/17718 +f 13804/17716 13805/17719 13801/17720 13800/17717 +f 13805/17719 13806/17721 13802/17722 13801/17720 +f 13806/17721 13803/17723 13799/17724 13802/17722 +f 13799/17718 13800/17717 13801/17725 13802/17726 +f 13806/17727 13805/17728 13804/17716 13803/17715 +g joint-l-toe-1-3 +f 13811/17729 13812/17730 13808/17731 13807/17732 +f 13812/17730 13813/17733 13809/17734 13808/17731 +f 13813/17733 13814/17735 13810/17736 13809/17734 +f 13814/17735 13811/17737 13807/17738 13810/17736 +f 13807/17732 13808/17731 13809/17739 13810/17740 +f 13814/17741 13813/17742 13812/17730 13811/17729 +g joint-l-toe-1-2 +f 13819/17743 13820/17744 13816/17745 13815/17746 +f 13820/17744 13821/17747 13817/17748 13816/17745 +f 13821/17747 13822/17749 13818/17750 13817/17748 +f 13822/17749 13819/17751 13815/17752 13818/17750 +f 13815/17746 13816/17745 13817/17753 13818/17754 +f 13822/17755 13821/17756 13820/17744 13819/17743 +g joint-l-toe-1-1 +f 13827/17757 13828/17758 13824/17759 13823/17760 +f 13828/17758 13829/17761 13825/17762 13824/17759 +f 13829/17761 13830/17763 13826/17764 13825/17762 +f 13830/17763 13827/17765 13823/17766 13826/17764 +f 13823/17760 13824/17759 13825/17767 13826/17768 +f 13830/17769 13829/17770 13828/17758 13827/17757 +g joint-l-ankle +f 13835/17771 13836/17772 13832/17773 13831/17774 +f 13836/17772 13837/17775 13833/17776 13832/17773 +f 13837/17775 13838/17777 13834/17778 13833/17776 +f 13838/17777 13835/17779 13831/17780 13834/17778 +f 13831/17774 13832/17773 13833/17781 13834/17782 +f 13838/17783 13837/17784 13836/17772 13835/17771 +g joint-l-knee +f 13843/17785 13844/17786 13840/17787 13839/17788 +f 13844/17786 13845/17789 13841/17790 13840/17787 +f 13845/17789 13846/17791 13842/17792 13841/17790 +f 13846/17791 13843/17793 13839/17794 13842/17792 +f 13839/17788 13840/17787 13841/17795 13842/17796 +f 13846/17797 13845/17798 13844/17786 13843/17785 +g joint-l-upper-leg +f 13851/17799 13852/17800 13848/17801 13847/17802 +f 13852/17800 13853/17803 13849/17804 13848/17801 +f 13853/17803 13854/17805 13850/17806 13849/17804 +f 13854/17805 13851/17807 13847/17808 13850/17806 +f 13847/17802 13848/17801 13849/17809 13850/17810 +f 13854/17811 13853/17812 13852/17800 13851/17799 +g joint-l-finger-2-4 +f 13859/17813 13860/17814 13856/17815 13855/17816 +f 13860/17814 13861/17817 13857/17818 13856/17815 +f 13861/17817 13862/17819 13858/17820 13857/17818 +f 13862/17819 13859/17821 13855/17822 13858/17820 +f 13855/17816 13856/17815 13857/17823 13858/17824 +f 13862/17825 13861/17826 13860/17814 13859/17813 +g joint-l-finger-3-4 +f 13867/17827 13868/17828 13864/17829 13863/17830 +f 13868/17828 13869/17831 13865/17832 13864/17829 +f 13869/17831 13870/17833 13866/17834 13865/17832 +f 13870/17833 13867/17835 13863/17836 13866/17834 +f 13863/17830 13864/17829 13865/17837 13866/17838 +f 13870/17839 13869/17840 13868/17828 13867/17827 +g joint-l-finger-4-4 +f 13875/17841 13876/17842 13872/17843 13871/17844 +f 13876/17842 13877/17845 13873/17846 13872/17843 +f 13877/17845 13878/17847 13874/17848 13873/17846 +f 13878/17847 13875/17849 13871/17850 13874/17848 +f 13871/17844 13872/17843 13873/17851 13874/17852 +f 13878/17853 13877/17854 13876/17842 13875/17841 +g joint-l-finger-5-4 +f 13883/17855 13884/17856 13880/17857 13879/17858 +f 13884/17856 13885/17859 13881/17860 13880/17857 +f 13885/17859 13886/17861 13882/17862 13881/17860 +f 13886/17861 13883/17863 13879/17864 13882/17862 +f 13879/17858 13880/17857 13881/17865 13882/17866 +f 13886/17867 13885/17868 13884/17856 13883/17855 +g joint-l-finger-5-3 +f 13891/17869 13892/17870 13888/17871 13887/17872 +f 13892/17870 13893/17873 13889/17874 13888/17871 +f 13893/17873 13894/17875 13890/17876 13889/17874 +f 13894/17875 13891/17877 13887/17878 13890/17876 +f 13887/17872 13888/17871 13889/17879 13890/17880 +f 13894/17881 13893/17882 13892/17870 13891/17869 +g joint-l-finger-4-3 +f 13899/17883 13900/17884 13896/17885 13895/17886 +f 13900/17884 13901/17887 13897/17888 13896/17885 +f 13901/17887 13902/17889 13898/17890 13897/17888 +f 13902/17889 13899/17891 13895/17892 13898/17890 +f 13895/17886 13896/17885 13897/17893 13898/17894 +f 13902/17895 13901/17896 13900/17884 13899/17883 +g joint-l-finger-3-3 +f 13907/17897 13908/17898 13904/17899 13903/17900 +f 13908/17898 13909/17901 13905/17902 13904/17899 +f 13909/17901 13910/17903 13906/17904 13905/17902 +f 13910/17903 13907/17905 13903/17906 13906/17904 +f 13903/17900 13904/17899 13905/17907 13906/17908 +f 13910/17909 13909/17910 13908/17898 13907/17897 +g joint-l-finger-2-3 +f 13915/17911 13916/17912 13912/17913 13911/17914 +f 13916/17912 13917/17915 13913/17916 13912/17913 +f 13917/17915 13918/17917 13914/17918 13913/17916 +f 13918/17917 13915/17919 13911/17920 13914/17918 +f 13911/17914 13912/17913 13913/17921 13914/17922 +f 13918/17923 13917/17924 13916/17912 13915/17911 +g joint-l-finger-2-2 +f 13923/17925 13924/17926 13920/17927 13919/17928 +f 13924/17926 13925/17929 13921/17930 13920/17927 +f 13925/17929 13926/17931 13922/17932 13921/17930 +f 13926/17931 13923/17933 13919/17934 13922/17932 +f 13919/17928 13920/17927 13921/17935 13922/17936 +f 13926/17937 13925/17938 13924/17926 13923/17925 +g joint-l-finger-3-2 +f 13931/17939 13932/17940 13928/17941 13927/17942 +f 13932/17940 13933/17943 13929/17944 13928/17941 +f 13933/17943 13934/17945 13930/17946 13929/17944 +f 13934/17945 13931/17947 13927/17948 13930/17946 +f 13927/17942 13928/17941 13929/17949 13930/17950 +f 13934/17951 13933/17952 13932/17940 13931/17939 +g joint-l-finger-4-2 +f 13939/17953 13940/17954 13936/17955 13935/17956 +f 13940/17954 13941/17957 13937/17958 13936/17955 +f 13941/17957 13942/17959 13938/17960 13937/17958 +f 13942/17959 13939/17961 13935/17962 13938/17960 +f 13935/17956 13936/17955 13937/17963 13938/17964 +f 13942/17965 13941/17966 13940/17954 13939/17953 +g joint-l-finger-5-2 +f 13947/17967 13948/17968 13944/17969 13943/17970 +f 13948/17968 13949/17971 13945/17972 13944/17969 +f 13949/17971 13950/17973 13946/17974 13945/17972 +f 13950/17973 13947/17975 13943/17976 13946/17974 +f 13943/17970 13944/17969 13945/17977 13946/17978 +f 13950/17979 13949/17980 13948/17968 13947/17967 +g joint-l-finger-5-1 +f 13955/17981 13956/17982 13952/17983 13951/17984 +f 13956/17982 13957/17985 13953/17986 13952/17983 +f 13957/17985 13958/17987 13954/17988 13953/17986 +f 13958/17987 13955/17989 13951/17990 13954/17988 +f 13951/17984 13952/17983 13953/17991 13954/17992 +f 13958/17993 13957/17994 13956/17982 13955/17981 +g joint-l-finger-4-1 +f 13963/17995 13964/17996 13960/17997 13959/17998 +f 13964/17996 13965/17999 13961/18000 13960/17997 +f 13965/17999 13966/18001 13962/18002 13961/18000 +f 13966/18001 13963/18003 13959/18004 13962/18002 +f 13959/17998 13960/17997 13961/18005 13962/18006 +f 13966/18007 13965/18008 13964/17996 13963/17995 +g joint-l-finger-3-1 +f 13971/18009 13972/18010 13968/18011 13967/18012 +f 13972/18010 13973/18013 13969/18014 13968/18011 +f 13973/18013 13974/18015 13970/18016 13969/18014 +f 13974/18015 13971/18017 13967/18018 13970/18016 +f 13967/18012 13968/18011 13969/18019 13970/18020 +f 13974/18021 13973/18022 13972/18010 13971/18009 +g joint-l-finger-2-1 +f 13979/18023 13980/18024 13976/18025 13975/18026 +f 13980/18024 13981/18027 13977/18028 13976/18025 +f 13981/18027 13982/18029 13978/18030 13977/18028 +f 13982/18029 13979/18031 13975/18032 13978/18030 +f 13975/18026 13976/18025 13977/18033 13978/18034 +f 13982/18035 13981/18036 13980/18024 13979/18023 +g joint-l-finger-1-4 +f 13987/18037 13988/18038 13984/18039 13983/18040 +f 13988/18038 13989/18041 13985/18042 13984/18039 +f 13989/18041 13990/18043 13986/18044 13985/18042 +f 13990/18043 13987/18045 13983/18046 13986/18044 +f 13983/18040 13984/18039 13985/18047 13986/18048 +f 13990/18049 13989/18050 13988/18038 13987/18037 +g joint-l-finger-1-3 +f 13995/18051 13996/18052 13992/18053 13991/18054 +f 13996/18052 13997/18055 13993/18056 13992/18053 +f 13997/18055 13998/18057 13994/18058 13993/18056 +f 13998/18057 13995/18059 13991/18060 13994/18058 +f 13991/18054 13992/18053 13993/18061 13994/18062 +f 13998/18063 13997/18064 13996/18052 13995/18051 +g joint-l-finger-1-2 +f 14003/18065 14004/18066 14000/18067 13999/18068 +f 14004/18066 14005/18069 14001/18070 14000/18067 +f 14005/18069 14006/18071 14002/18072 14001/18070 +f 14006/18071 14003/18073 13999/18074 14002/18072 +f 13999/18068 14000/18067 14001/18075 14002/18076 +f 14006/18077 14005/18078 14004/18066 14003/18065 +g joint-l-finger-1-1 +f 14011/18079 14012/18080 14008/18081 14007/18082 +f 14012/18080 14013/18083 14009/18084 14008/18081 +f 14013/18083 14014/18085 14010/18086 14009/18084 +f 14014/18085 14011/18087 14007/18088 14010/18086 +f 14007/18082 14008/18081 14009/18089 14010/18090 +f 14014/18091 14013/18092 14012/18080 14011/18079 +g joint-l-hand-3 +f 14019/18093 14020/18094 14016/18095 14015/18096 +f 14020/18094 14021/18097 14017/18098 14016/18095 +f 14021/18097 14022/18099 14018/18100 14017/18098 +f 14022/18099 14019/18101 14015/18102 14018/18100 +f 14015/18096 14016/18095 14017/18103 14018/18104 +f 14022/18105 14021/18106 14020/18094 14019/18093 +g joint-l-hand-2 +f 14027/18107 14028/18108 14024/18109 14023/18110 +f 14028/18108 14029/18111 14025/18112 14024/18109 +f 14029/18111 14030/18113 14026/18114 14025/18112 +f 14030/18113 14027/18115 14023/18116 14026/18114 +f 14023/18110 14024/18109 14025/18117 14026/18118 +f 14030/18119 14029/18120 14028/18108 14027/18107 +g joint-l-hand +f 14035/18121 14036/18122 14032/18123 14031/18124 +f 14036/18122 14037/18125 14033/18126 14032/18123 +f 14037/18125 14038/18127 14034/18128 14033/18126 +f 14038/18127 14035/18129 14031/18130 14034/18128 +f 14031/18124 14032/18123 14033/18131 14034/18132 +f 14038/18133 14037/18134 14036/18122 14035/18121 +g joint-l-elbow +f 14043/18135 14044/18136 14040/18137 14039/18138 +f 14044/18136 14045/18139 14041/18140 14040/18137 +f 14045/18139 14046/18141 14042/18142 14041/18140 +f 14046/18141 14043/18143 14039/18144 14042/18142 +f 14039/18138 14040/18137 14041/18145 14042/18146 +f 14046/18147 14045/18148 14044/18136 14043/18135 +g joint-l-shoulder +f 14051/18149 14052/18150 14048/18151 14047/18152 +f 14052/18150 14053/18153 14049/18154 14048/18151 +f 14053/18153 14054/18155 14050/18156 14049/18154 +f 14054/18155 14051/18157 14047/18158 14050/18156 +f 14047/18152 14048/18151 14049/18159 14050/18160 +f 14054/18161 14053/18162 14052/18150 14051/18149 +g joint-l-clavicle +f 14059/18163 14060/18164 14056/18165 14055/18166 +f 14060/18164 14061/18167 14057/18168 14056/18165 +f 14061/18167 14062/18169 14058/18170 14057/18168 +f 14062/18169 14059/18171 14055/18172 14058/18170 +f 14055/18166 14056/18165 14057/18173 14058/18174 +f 14062/18175 14061/18176 14060/18164 14059/18163 +g joint-l-scapula +f 14067/18177 14068/18178 14064/18179 14063/18180 +f 14068/18178 14069/18181 14065/18182 14064/18179 +f 14069/18181 14070/18183 14066/18184 14065/18182 +f 14070/18183 14067/18185 14063/18186 14066/18184 +f 14063/18180 14064/18179 14065/18187 14066/18188 +f 14070/18189 14069/18190 14068/18178 14067/18177 +g joint-head +f 14075/18191 14076/18192 14072/18193 14071/18194 +f 14076/18192 14077/18195 14073/18196 14072/18193 +f 14077/18195 14078/18197 14074/18198 14073/18196 +f 14078/18197 14075/18199 14071/18200 14074/18198 +f 14071/18194 14072/18193 14073/18201 14074/18202 +f 14078/18203 14077/18204 14076/18192 14075/18191 +g joint-l-lowerlid +f 14083/18205 14084/18206 14080/18207 14079/18208 +f 14084/18206 14085/18209 14081/18210 14080/18207 +f 14085/18209 14086/18211 14082/18212 14081/18210 +f 14086/18211 14083/18213 14079/18214 14082/18212 +f 14079/18208 14080/18207 14081/18215 14082/18216 +f 14086/18217 14085/18218 14084/18206 14083/18205 +g joint-l-eye-target +f 14091/18219 14092/18220 14088/18221 14087/18222 +f 14092/18220 14093/18223 14089/18224 14088/18221 +f 14093/18223 14094/18225 14090/18226 14089/18224 +f 14094/18225 14091/18227 14087/18228 14090/18226 +f 14087/18222 14088/18221 14089/18229 14090/18230 +f 14094/18231 14093/18232 14092/18220 14091/18219 +g joint-l-upperlid +f 14099/18233 14100/18234 14096/18235 14095/18236 +f 14100/18234 14101/18237 14097/18238 14096/18235 +f 14101/18237 14102/18239 14098/18240 14097/18238 +f 14102/18239 14099/18241 14095/18242 14098/18240 +f 14095/18236 14096/18235 14097/18243 14098/18244 +f 14102/18245 14101/18246 14100/18234 14099/18233 +g joint-r-foot-2 +f 14107/18247 14103/18248 14104/18249 14108/18250 +f 14108/18248 14104/18251 14105/18252 14109/18249 +f 14109/18251 14105/18253 14106/18254 14110/18252 +f 14110/18253 14106/18255 14103/18256 14107/18254 +f 14103/18250 14106/18249 14105/18257 14104/18258 +f 14110/18259 14107/18260 14108/18248 14109/18247 +g joint-r-foot-1 +f 14115/18261 14111/18262 14112/18263 14116/18264 +f 14116/18262 14112/18265 14113/18266 14117/18263 +f 14117/18265 14113/18267 14114/18268 14118/18266 +f 14118/18267 14114/18269 14111/18270 14115/18268 +f 14111/18264 14114/18263 14113/18271 14112/18272 +f 14118/18273 14115/18274 14116/18262 14117/18261 +g joint-r-toe-5-3 +f 14123/18275 14119/18276 14120/18277 14124/18278 +f 14124/18276 14120/18279 14121/18280 14125/18277 +f 14125/18279 14121/18281 14122/18282 14126/18280 +f 14126/18281 14122/18283 14119/18284 14123/18282 +f 14119/18278 14122/18277 14121/18285 14120/18286 +f 14126/18287 14123/18288 14124/18276 14125/18275 +g joint-r-toe-5-4 +f 14131/18289 14127/18290 14128/18291 14132/18292 +f 14132/18290 14128/18293 14129/18294 14133/18291 +f 14133/18293 14129/18295 14130/18296 14134/18294 +f 14134/18295 14130/18297 14127/18298 14131/18296 +f 14127/18292 14130/18291 14129/18299 14128/18300 +f 14134/18301 14131/18302 14132/18290 14133/18289 +g joint-r-toe-4-3 +f 14139/18303 14135/18304 14136/18305 14140/18306 +f 14140/18304 14136/18307 14137/18308 14141/18305 +f 14141/18307 14137/18309 14138/18310 14142/18308 +f 14142/18309 14138/18311 14135/18312 14139/18310 +f 14135/18306 14138/18305 14137/18313 14136/18314 +f 14142/18315 14139/18316 14140/18304 14141/18303 +g joint-r-toe-4-4 +f 14147/18317 14143/18318 14144/18319 14148/18320 +f 14148/18318 14144/18321 14145/18322 14149/18319 +f 14149/18321 14145/18323 14146/18324 14150/18322 +f 14150/18323 14146/18325 14143/18326 14147/18324 +f 14143/18320 14146/18319 14145/18327 14144/18328 +f 14150/18329 14147/18330 14148/18318 14149/18317 +g joint-r-toe-3-3 +f 14155/18331 14151/18332 14152/18333 14156/18334 +f 14156/18332 14152/18335 14153/18336 14157/18333 +f 14157/18335 14153/18337 14154/18338 14158/18336 +f 14158/18337 14154/18339 14151/18340 14155/18338 +f 14151/18334 14154/18333 14153/18341 14152/18342 +f 14158/18343 14155/18344 14156/18332 14157/18331 +g joint-r-toe-3-4 +f 14163/18345 14159/18346 14160/18347 14164/18348 +f 14164/18346 14160/18349 14161/18350 14165/18347 +f 14165/18349 14161/18351 14162/18352 14166/18350 +f 14166/18351 14162/18353 14159/18354 14163/18352 +f 14159/18348 14162/18347 14161/18355 14160/18356 +f 14166/18357 14163/18358 14164/18346 14165/18345 +g joint-r-toe-2-4 +f 14171/18359 14167/18360 14168/18361 14172/18362 +f 14172/18360 14168/18363 14169/18364 14173/18361 +f 14173/18363 14169/18365 14170/18366 14174/18364 +f 14174/18365 14170/18367 14167/18368 14171/18366 +f 14167/18362 14170/18361 14169/18369 14168/18370 +f 14174/18371 14171/18372 14172/18360 14173/18359 +g joint-r-toe-2-3 +f 14179/18373 14175/18374 14176/18375 14180/18376 +f 14180/18374 14176/18377 14177/18378 14181/18375 +f 14181/18377 14177/18379 14178/18380 14182/18378 +f 14182/18379 14178/18381 14175/18382 14179/18380 +f 14175/18376 14178/18375 14177/18383 14176/18384 +f 14182/18385 14179/18386 14180/18374 14181/18373 +g joint-r-toe-2-2 +f 14187/18387 14183/18388 14184/18389 14188/18390 +f 14188/18388 14184/18391 14185/18392 14189/18389 +f 14189/18391 14185/18393 14186/18394 14190/18392 +f 14190/18393 14186/18395 14183/18396 14187/18394 +f 14183/18390 14186/18389 14185/18397 14184/18398 +f 14190/18399 14187/18400 14188/18388 14189/18387 +g joint-r-toe-3-2 +f 14195/18401 14191/18402 14192/18403 14196/18404 +f 14196/18402 14192/18405 14193/18406 14197/18403 +f 14197/18405 14193/18407 14194/18408 14198/18406 +f 14198/18407 14194/18409 14191/18410 14195/18408 +f 14191/18404 14194/18403 14193/18411 14192/18412 +f 14198/18413 14195/18414 14196/18402 14197/18401 +g joint-r-toe-4-2 +f 14203/18415 14199/18416 14200/18417 14204/18418 +f 14204/18416 14200/18419 14201/18420 14205/18417 +f 14205/18419 14201/18421 14202/18422 14206/18420 +f 14206/18421 14202/18423 14199/18424 14203/18422 +f 14199/18418 14202/18417 14201/18425 14200/18426 +f 14206/18427 14203/18428 14204/18416 14205/18415 +g joint-r-toe-5-2 +f 14211/18429 14207/18430 14208/18431 14212/18432 +f 14212/18430 14208/18433 14209/18434 14213/18431 +f 14213/18433 14209/18435 14210/18436 14214/18434 +f 14214/18435 14210/18437 14207/18438 14211/18436 +f 14207/18432 14210/18431 14209/18439 14208/18440 +f 14214/18441 14211/18442 14212/18430 14213/18429 +g joint-r-toe-5-1 +f 14219/18443 14215/18444 14216/18445 14220/18446 +f 14220/18444 14216/18447 14217/18448 14221/18445 +f 14221/18447 14217/18449 14218/18450 14222/18448 +f 14222/18449 14218/18451 14215/18452 14219/18450 +f 14215/18446 14218/18445 14217/18453 14216/18454 +f 14222/18455 14219/18456 14220/18444 14221/18443 +g joint-r-toe-4-1 +f 14227/18457 14223/18458 14224/18459 14228/18460 +f 14228/18458 14224/18461 14225/18462 14229/18459 +f 14229/18461 14225/18463 14226/18464 14230/18462 +f 14230/18463 14226/18465 14223/18466 14227/18464 +f 14223/18460 14226/18459 14225/18467 14224/18468 +f 14230/18469 14227/18470 14228/18458 14229/18457 +g joint-r-toe-3-1 +f 14235/18471 14231/18472 14232/18473 14236/18474 +f 14236/18472 14232/18475 14233/18476 14237/18473 +f 14237/18475 14233/18477 14234/18478 14238/18476 +f 14238/18477 14234/18479 14231/18480 14235/18478 +f 14231/18474 14234/18473 14233/18481 14232/18482 +f 14238/18483 14235/18484 14236/18472 14237/18471 +g joint-r-toe-2-1 +f 14243/18485 14239/18486 14240/18487 14244/18488 +f 14244/18486 14240/18489 14241/18490 14245/18487 +f 14245/18489 14241/18491 14242/18492 14246/18490 +f 14246/18491 14242/18493 14239/18494 14243/18492 +f 14239/18488 14242/18487 14241/18495 14240/18496 +f 14246/18497 14243/18498 14244/18486 14245/18485 +g joint-r-toe-1-3 +f 14251/18499 14247/18500 14248/18501 14252/18502 +f 14252/18500 14248/18503 14249/18504 14253/18501 +f 14253/18503 14249/18505 14250/18506 14254/18504 +f 14254/18505 14250/18507 14247/18508 14251/18506 +f 14247/18502 14250/18501 14249/18509 14248/18510 +f 14254/18511 14251/18512 14252/18500 14253/18499 +g joint-r-toe-1-2 +f 14259/18513 14255/18514 14256/18515 14260/18516 +f 14260/18514 14256/18517 14257/18518 14261/18515 +f 14261/18517 14257/18519 14258/18520 14262/18518 +f 14262/18519 14258/18521 14255/18522 14259/18520 +f 14255/18516 14258/18515 14257/18523 14256/18524 +f 14262/18525 14259/18526 14260/18514 14261/18513 +g joint-r-toe-1-1 +f 14267/18527 14263/18528 14264/18529 14268/18530 +f 14268/18528 14264/18531 14265/18532 14269/18529 +f 14269/18531 14265/18533 14266/18534 14270/18532 +f 14270/18533 14266/18535 14263/18536 14267/18534 +f 14263/18530 14266/18529 14265/18537 14264/18538 +f 14270/18539 14267/18540 14268/18528 14269/18527 +g joint-r-ankle +f 14275/18541 14271/18542 14272/18543 14276/18544 +f 14276/18542 14272/18545 14273/18546 14277/18543 +f 14277/18545 14273/18547 14274/18548 14278/18546 +f 14278/18547 14274/18549 14271/18550 14275/18548 +f 14271/18544 14274/18543 14273/18551 14272/18552 +f 14278/18553 14275/18554 14276/18542 14277/18541 +g joint-r-knee +f 14283/18555 14279/18556 14280/18557 14284/18558 +f 14284/18556 14280/18559 14281/18560 14285/18557 +f 14285/18559 14281/18561 14282/18562 14286/18560 +f 14286/18561 14282/18563 14279/18564 14283/18562 +f 14279/18558 14282/18557 14281/18565 14280/18566 +f 14286/18567 14283/18568 14284/18556 14285/18555 +g joint-r-upper-leg +f 14291/18569 14287/18570 14288/18571 14292/18572 +f 14292/18570 14288/18573 14289/18574 14293/18571 +f 14293/18573 14289/18575 14290/18576 14294/18574 +f 14294/18575 14290/18577 14287/18578 14291/18576 +f 14287/18572 14290/18571 14289/18579 14288/18580 +f 14294/18581 14291/18582 14292/18570 14293/18569 +g joint-r-finger-2-4 +f 14299/18583 14295/18584 14296/18585 14300/18586 +f 14300/18584 14296/18587 14297/18588 14301/18585 +f 14301/18587 14297/18589 14298/18590 14302/18588 +f 14302/18589 14298/18591 14295/18592 14299/18590 +f 14295/18586 14298/18585 14297/18593 14296/18594 +f 14302/18595 14299/18596 14300/18584 14301/18583 +g joint-r-finger-3-4 +f 14307/18597 14303/18598 14304/18599 14308/18600 +f 14308/18598 14304/18601 14305/18602 14309/18599 +f 14309/18601 14305/18603 14306/18604 14310/18602 +f 14310/18603 14306/18605 14303/18606 14307/18604 +f 14303/18600 14306/18599 14305/18607 14304/18608 +f 14310/18609 14307/18610 14308/18598 14309/18597 +g joint-r-finger-4-4 +f 14315/18611 14311/18612 14312/18613 14316/18614 +f 14316/18612 14312/18615 14313/18616 14317/18613 +f 14317/18615 14313/18617 14314/18618 14318/18616 +f 14318/18617 14314/18619 14311/18620 14315/18618 +f 14311/18614 14314/18613 14313/18621 14312/18622 +f 14318/18623 14315/18624 14316/18612 14317/18611 +g joint-r-finger-5-4 +f 14323/18625 14319/18626 14320/18627 14324/18628 +f 14324/18626 14320/18629 14321/18630 14325/18627 +f 14325/18629 14321/18631 14322/18632 14326/18630 +f 14326/18631 14322/18633 14319/18634 14323/18632 +f 14319/18628 14322/18627 14321/18635 14320/18636 +f 14326/18637 14323/18638 14324/18626 14325/18625 +g joint-r-finger-5-3 +f 14331/18639 14327/18640 14328/18641 14332/18642 +f 14332/18640 14328/18643 14329/18644 14333/18641 +f 14333/18643 14329/18645 14330/18646 14334/18644 +f 14334/18645 14330/18647 14327/18648 14331/18646 +f 14327/18642 14330/18641 14329/18649 14328/18650 +f 14334/18651 14331/18652 14332/18640 14333/18639 +g joint-r-finger-4-3 +f 14339/18653 14335/18654 14336/18655 14340/18656 +f 14340/18654 14336/18657 14337/18658 14341/18655 +f 14341/18657 14337/18659 14338/18660 14342/18658 +f 14342/18659 14338/18661 14335/18662 14339/18660 +f 14335/18656 14338/18655 14337/18663 14336/18664 +f 14342/18665 14339/18666 14340/18654 14341/18653 +g joint-r-finger-3-3 +f 14347/18667 14343/18668 14344/18669 14348/18670 +f 14348/18668 14344/18671 14345/18672 14349/18669 +f 14349/18671 14345/18673 14346/18674 14350/18672 +f 14350/18673 14346/18675 14343/18676 14347/18674 +f 14343/18670 14346/18669 14345/18677 14344/18678 +f 14350/18679 14347/18680 14348/18668 14349/18667 +g joint-r-finger-2-3 +f 14355/18681 14351/18682 14352/18683 14356/18684 +f 14356/18682 14352/18685 14353/18686 14357/18683 +f 14357/18685 14353/18687 14354/18688 14358/18686 +f 14358/18687 14354/18689 14351/18690 14355/18688 +f 14351/18684 14354/18683 14353/18691 14352/18692 +f 14358/18693 14355/18694 14356/18682 14357/18681 +g joint-r-finger-2-2 +f 14363/18695 14359/18696 14360/18697 14364/18698 +f 14364/18696 14360/18699 14361/18700 14365/18697 +f 14365/18699 14361/18701 14362/18702 14366/18700 +f 14366/18701 14362/18703 14359/18704 14363/18702 +f 14359/18698 14362/18697 14361/18705 14360/18706 +f 14366/18707 14363/18708 14364/18696 14365/18695 +g joint-r-finger-3-2 +f 14371/18709 14367/18710 14368/18711 14372/18712 +f 14372/18710 14368/18713 14369/18714 14373/18711 +f 14373/18713 14369/18715 14370/18716 14374/18714 +f 14374/18715 14370/18717 14367/18718 14371/18716 +f 14367/18712 14370/18711 14369/18719 14368/18720 +f 14374/18721 14371/18722 14372/18710 14373/18709 +g joint-r-finger-4-2 +f 14379/18723 14375/18724 14376/18725 14380/18726 +f 14380/18724 14376/18727 14377/18728 14381/18725 +f 14381/18727 14377/18729 14378/18730 14382/18728 +f 14382/18729 14378/18731 14375/18732 14379/18730 +f 14375/18726 14378/18725 14377/18733 14376/18734 +f 14382/18735 14379/18736 14380/18724 14381/18723 +g joint-r-finger-5-2 +f 14387/18737 14383/18738 14384/18739 14388/18740 +f 14388/18738 14384/18741 14385/18742 14389/18739 +f 14389/18741 14385/18743 14386/18744 14390/18742 +f 14390/18743 14386/18745 14383/18746 14387/18744 +f 14383/18740 14386/18739 14385/18747 14384/18748 +f 14390/18749 14387/18750 14388/18738 14389/18737 +g joint-r-finger-5-1 +f 14395/18751 14391/18752 14392/18753 14396/18754 +f 14396/18752 14392/18755 14393/18756 14397/18753 +f 14397/18755 14393/18757 14394/18758 14398/18756 +f 14398/18757 14394/18759 14391/18760 14395/18758 +f 14391/18754 14394/18753 14393/18761 14392/18762 +f 14398/18763 14395/18764 14396/18752 14397/18751 +g joint-r-finger-4-1 +f 14403/18765 14399/18766 14400/18767 14404/18768 +f 14404/18766 14400/18769 14401/18770 14405/18767 +f 14405/18769 14401/18771 14402/18772 14406/18770 +f 14406/18771 14402/18773 14399/18774 14403/18772 +f 14399/18768 14402/18767 14401/18775 14400/18776 +f 14406/18777 14403/18778 14404/18766 14405/18765 +g joint-r-finger-3-1 +f 14411/18779 14407/18780 14408/18781 14412/18782 +f 14412/18780 14408/18783 14409/18784 14413/18781 +f 14413/18783 14409/18785 14410/18786 14414/18784 +f 14414/18785 14410/18787 14407/18788 14411/18786 +f 14407/18782 14410/18781 14409/18789 14408/18790 +f 14414/18791 14411/18792 14412/18780 14413/18779 +g joint-r-finger-2-1 +f 14419/18793 14415/18794 14416/18795 14420/18796 +f 14420/18794 14416/18797 14417/18798 14421/18795 +f 14421/18797 14417/18799 14418/18800 14422/18798 +f 14422/18799 14418/18801 14415/18802 14419/18800 +f 14415/18796 14418/18795 14417/18803 14416/18804 +f 14422/18805 14419/18806 14420/18794 14421/18793 +g joint-r-finger-1-4 +f 14427/18807 14423/18808 14424/18809 14428/18810 +f 14428/18808 14424/18811 14425/18812 14429/18809 +f 14429/18811 14425/18813 14426/18814 14430/18812 +f 14430/18813 14426/18815 14423/18816 14427/18814 +f 14423/18810 14426/18809 14425/18817 14424/18818 +f 14430/18819 14427/18820 14428/18808 14429/18807 +g joint-r-finger-1-3 +f 14435/18821 14431/18822 14432/18823 14436/18824 +f 14436/18822 14432/18825 14433/18826 14437/18823 +f 14437/18825 14433/18827 14434/18828 14438/18826 +f 14438/18827 14434/18829 14431/18830 14435/18828 +f 14431/18824 14434/18823 14433/18831 14432/18832 +f 14438/18833 14435/18834 14436/18822 14437/18821 +g joint-r-finger-1-2 +f 14443/18835 14439/18836 14440/18837 14444/18838 +f 14444/18836 14440/18839 14441/18840 14445/18837 +f 14445/18839 14441/18841 14442/18842 14446/18840 +f 14446/18841 14442/18843 14439/18844 14443/18842 +f 14439/18838 14442/18837 14441/18845 14440/18846 +f 14446/18847 14443/18848 14444/18836 14445/18835 +g joint-r-finger-1-1 +f 14451/18849 14447/18850 14448/18851 14452/18852 +f 14452/18850 14448/18853 14449/18854 14453/18851 +f 14453/18853 14449/18855 14450/18856 14454/18854 +f 14454/18855 14450/18857 14447/18858 14451/18856 +f 14447/18852 14450/18851 14449/18859 14448/18860 +f 14454/18861 14451/18862 14452/18850 14453/18849 +g joint-r-hand-3 +f 14459/18863 14455/18864 14456/18865 14460/18866 +f 14460/18864 14456/18867 14457/18868 14461/18865 +f 14461/18867 14457/18869 14458/18870 14462/18868 +f 14462/18869 14458/18871 14455/18872 14459/18870 +f 14455/18866 14458/18865 14457/18873 14456/18874 +f 14462/18875 14459/18876 14460/18864 14461/18863 +g joint-r-hand-2 +f 14467/18877 14463/18878 14464/18879 14468/18880 +f 14468/18878 14464/18881 14465/18882 14469/18879 +f 14469/18881 14465/18883 14466/18884 14470/18882 +f 14470/18883 14466/18885 14463/18886 14467/18884 +f 14463/18880 14466/18879 14465/18887 14464/18888 +f 14470/18889 14467/18890 14468/18878 14469/18877 +g joint-r-hand +f 14475/18891 14471/18892 14472/18893 14476/18894 +f 14476/18892 14472/18895 14473/18896 14477/18893 +f 14477/18895 14473/18897 14474/18898 14478/18896 +f 14478/18897 14474/18899 14471/18900 14475/18898 +f 14471/18894 14474/18893 14473/18901 14472/18902 +f 14478/18903 14475/18904 14476/18892 14477/18891 +g joint-r-elbow +f 14483/18905 14479/18906 14480/18907 14484/18908 +f 14484/18906 14480/18909 14481/18910 14485/18907 +f 14485/18909 14481/18911 14482/18912 14486/18910 +f 14486/18911 14482/18913 14479/18914 14483/18912 +f 14479/18908 14482/18907 14481/18915 14480/18916 +f 14486/18917 14483/18918 14484/18906 14485/18905 +g joint-r-shoulder +f 14491/18919 14487/18920 14488/18921 14492/18922 +f 14492/18920 14488/18923 14489/18924 14493/18921 +f 14493/18923 14489/18925 14490/18926 14494/18924 +f 14494/18925 14490/18927 14487/18928 14491/18926 +f 14487/18922 14490/18921 14489/18929 14488/18930 +f 14494/18931 14491/18932 14492/18920 14493/18919 +g joint-r-clavicle +f 14499/18933 14495/18934 14496/18935 14500/18936 +f 14500/18934 14496/18937 14497/18938 14501/18935 +f 14501/18937 14497/18939 14498/18940 14502/18938 +f 14502/18939 14498/18941 14495/18942 14499/18940 +f 14495/18936 14498/18935 14497/18943 14496/18944 +f 14502/18945 14499/18946 14500/18934 14501/18933 +g joint-r-scapula +f 14507/18947 14503/18948 14504/18949 14508/18950 +f 14508/18948 14504/18951 14505/18952 14509/18949 +f 14509/18951 14505/18953 14506/18954 14510/18952 +f 14510/18953 14506/18955 14503/18956 14507/18954 +f 14503/18950 14506/18949 14505/18957 14504/18958 +f 14510/18959 14507/18960 14508/18948 14509/18947 +g joint-r-lowerlid +f 14515/18961 14511/18962 14512/18963 14516/18964 +f 14516/18962 14512/18965 14513/18966 14517/18963 +f 14517/18965 14513/18967 14514/18968 14518/18966 +f 14518/18967 14514/18969 14511/18970 14515/18968 +f 14511/18964 14514/18963 14513/18971 14512/18972 +f 14518/18973 14515/18974 14516/18962 14517/18961 +g joint-r-eye-target +f 14523/18975 14519/18976 14520/18977 14524/18978 +f 14524/18976 14520/18979 14521/18980 14525/18977 +f 14525/18979 14521/18981 14522/18982 14526/18980 +f 14526/18981 14522/18983 14519/18984 14523/18982 +f 14519/18978 14522/18977 14521/18985 14520/18986 +f 14526/18987 14523/18988 14524/18976 14525/18975 +g joint-r-upperlid +f 14531/18989 14527/18990 14528/18991 14532/18992 +f 14532/18990 14528/18993 14529/18994 14533/18991 +f 14533/18993 14529/18995 14530/18996 14534/18994 +f 14534/18995 14530/18997 14527/18998 14531/18996 +f 14527/18992 14530/18991 14529/18999 14528/19000 +f 14534/19001 14531/19002 14532/18990 14533/18989 +g joint-neck +f 14539/19003 14540/19004 14536/19005 14535/19006 +f 14540/19004 14541/19007 14537/19008 14536/19005 +f 14541/19007 14542/19009 14538/19010 14537/19008 +f 14542/19009 14539/19011 14535/19012 14538/19010 +f 14535/19006 14536/19005 14537/19013 14538/19014 +f 14542/19015 14541/19016 14540/19004 14539/19003 +g joint-jaw +f 14547/19017 14548/19018 14544/19019 14543/19020 +f 14548/19018 14549/19021 14545/19022 14544/19019 +f 14549/19021 14550/19023 14546/19024 14545/19022 +f 14550/19023 14547/19025 14543/19026 14546/19024 +f 14543/19020 14544/19019 14545/19027 14546/19028 +f 14550/19029 14549/19030 14548/19018 14547/19017 +g joint-tongue-4 +f 14555/19031 14556/19032 14552/19033 14551/19034 +f 14556/19032 14557/19035 14553/19036 14552/19033 +f 14557/19035 14558/19037 14554/19038 14553/19036 +f 14558/19037 14555/19039 14551/19040 14554/19038 +f 14551/19034 14552/19033 14553/19041 14554/19042 +f 14558/19043 14557/19044 14556/19032 14555/19031 +g joint-tongue-3 +f 14563/19045 14564/19046 14560/19047 14559/19048 +f 14564/19046 14565/19049 14561/19050 14560/19047 +f 14565/19049 14566/19051 14562/19052 14561/19050 +f 14566/19051 14563/19053 14559/19054 14562/19052 +f 14559/19048 14560/19047 14561/19055 14562/19056 +f 14566/19057 14565/19058 14564/19046 14563/19045 +g joint-head-2 +f 14571/19059 14572/19060 14568/19061 14567/19062 +f 14572/19060 14573/19063 14569/19064 14568/19061 +f 14573/19063 14574/19065 14570/19066 14569/19064 +f 14574/19065 14571/19067 14567/19068 14570/19066 +f 14567/19062 14568/19061 14569/19069 14570/19070 +f 14574/19071 14573/19072 14572/19060 14571/19059 +g joint-tongue-2 +f 14579/19073 14580/19074 14576/19075 14575/19076 +f 14580/19074 14581/19077 14577/19078 14576/19075 +f 14581/19077 14582/19079 14578/19080 14577/19078 +f 14582/19079 14579/19081 14575/19082 14578/19080 +f 14575/19076 14576/19075 14577/19083 14578/19084 +f 14582/19085 14581/19086 14580/19074 14579/19073 +g joint-tongue-1 +f 14587/19087 14588/19088 14584/19089 14583/19090 +f 14588/19088 14589/19091 14585/19092 14584/19089 +f 14589/19091 14590/19093 14586/19094 14585/19092 +f 14590/19093 14587/19095 14583/19096 14586/19094 +f 14583/19090 14584/19089 14585/19097 14586/19098 +f 14590/19099 14589/19100 14588/19088 14587/19087 +g joint-mouth +f 14595/19101 14596/19102 14592/19103 14591/19104 +f 14596/19102 14597/19105 14593/19106 14592/19103 +f 14597/19105 14598/19107 14594/19108 14593/19106 +f 14598/19107 14595/19109 14591/19110 14594/19108 +f 14591/19104 14592/19103 14593/19111 14594/19112 +f 14598/19113 14597/19114 14596/19102 14595/19101 +g helper-skirt +f 18035/19115 18019/19116 18058/19117 18036/19118 +f 18017/19119 18018/19120 18023/19121 18022/19122 +f 18017/19119 18022/19122 18021/19123 18016/19124 +f 18016/19124 18021/19123 18020/19125 18015/19126 +f 18024/19127 18015/19126 18020/19125 18030/19128 +f 18003/19129 18004/19130 18024/19127 18030/19128 +f 18004/19130 18003/19129 18031/19131 18014/19132 +f 18010/19133 18009/19134 18032/19135 18034/19136 +f 18011/19137 18033/19138 18028/19139 18006/19140 +f 18025/19141 18012/19142 18006/19140 18028/19139 +f 18026/19143 18013/19144 18012/19142 18025/19141 +f 18029/19145 18008/19146 18013/19144 18026/19143 +f 18027/19147 18007/19148 18008/19146 18029/19145 +f 18037/19149 18063/19150 18005/19151 18038/19152 +f 18018/19120 18035/19115 18036/19118 18023/19121 +f 18027/19147 18037/19149 18038/19152 18007/19148 +f 18011/19137 18010/19133 18034/19136 18033/19138 +f 18009/19134 18014/19132 18031/19131 18032/19135 +f 18052/19153 18056/19154 18057/19155 18053/19156 +f 18052/19153 18051/19157 18055/19158 18056/19154 +f 18051/19157 18050/19159 18054/19160 18055/19158 +f 18059/19161 18066/19162 18054/19160 18050/19159 +f 18039/19163 18066/19162 18059/19161 18040/19164 +f 18040/19164 18049/19165 18067/19166 18039/19163 +f 18045/19167 18070/19168 18068/19169 18044/19170 +f 18046/19171 18041/19172 18064/19173 18069/19174 +f 18060/19175 18064/19173 18041/19172 18047/19176 +f 18061/19177 18060/19175 18047/19176 18048/19178 +f 18065/19179 18061/19177 18048/19178 18043/19180 +f 18062/19181 18065/19179 18043/19180 18042/19182 +f 18053/19156 18057/19155 18072/19183 18071/19184 +f 18073/19185 18074/19186 18005/19187 18063/19188 +f 18062/19181 18042/19182 18074/19186 18073/19185 +f 18071/19184 18072/19183 18058/19117 18019/19116 +f 18046/19171 18069/19174 18070/19168 18045/19167 +f 18044/19170 18068/19169 18067/19166 18049/19165 +f 18060/19175 18061/19177 18099/19189 18098/19190 +f 18063/19150 18037/19149 18091/19191 18101/19192 +f 18026/19143 18025/19141 18080/19193 18081/19194 +f 18055/19158 18054/19160 18093/19195 18094/19196 +f 18036/19118 18058/19117 18097/19197 18090/19198 +f 18021/19123 18022/19122 18078/19199 18077/19200 +f 18067/19166 18068/19169 18106/19201 18105/19202 +f 18072/19183 18057/19155 18096/19203 18109/19204 +f 18064/19173 18060/19175 18098/19190 18102/19205 +f 18025/19141 18028/19139 18083/19206 18080/19193 +f 18058/19117 18072/19183 18109/19204 18097/19197 +f 18054/19160 18066/19162 18104/19207 18093/19195 +f 18032/19135 18031/19131 18086/19208 18087/19209 +f 18030/19128 18020/19125 18076/19210 18085/19211 +f 18065/19179 18062/19181 18100/19212 18103/19213 +f 18023/19121 18036/19118 18090/19198 18079/19214 +f 18027/19147 18029/19145 18084/19215 18082/19216 +f 18062/19181 18073/19185 18110/19217 18100/19212 +f 18020/19125 18021/19123 18077/19200 18076/19210 +f 18070/19168 18069/19174 18107/19218 18108/19219 +f 18069/19174 18064/19173 18102/19205 18107/19218 +f 18028/19139 18033/19138 18088/19220 18083/19206 +f 18068/19169 18070/19168 18108/19219 18106/19201 +f 18039/19163 18067/19166 18105/19202 18092/19221 +f 18034/19136 18032/19135 18087/19209 18089/19222 +f 18061/19177 18065/19179 18103/19213 18099/19189 +f 18029/19145 18026/19143 18081/19194 18084/19215 +f 18056/19154 18055/19158 18094/19196 18095/19223 +f 18037/19149 18027/19147 18082/19216 18091/19191 +f 18033/19138 18034/19136 18089/19222 18088/19220 +f 18073/19185 18063/19188 18101/19224 18110/19217 +f 18022/19122 18023/19121 18079/19214 18078/19199 +f 18066/19162 18039/19163 18092/19221 18104/19207 +f 18003/19129 18030/19128 18085/19211 18075/19225 +f 18031/19131 18003/19129 18075/19225 18086/19208 +f 18057/19155 18056/19154 18095/19223 18096/19203 +f 18106/19201 18108/19219 18144/19226 18142/19227 +f 18089/19222 18087/19209 18123/19228 18125/19229 +f 18100/19212 18110/19217 18146/19230 18136/19231 +f 18091/19191 18082/19216 18118/19232 18127/19233 +f 18095/19223 18094/19196 18130/19234 18131/19235 +f 18077/19200 18078/19199 18114/19236 18113/19237 +f 18104/19207 18092/19221 18128/19238 18140/19239 +f 18075/19225 18085/19211 18121/19240 18111/19241 +f 18110/19217 18101/19224 18137/19242 18146/19230 +f 18101/19192 18091/19191 18127/19233 18137/19243 +f 18105/19202 18106/19201 18142/19227 18141/19244 +f 18087/19209 18086/19208 18122/19245 18123/19228 +f 18103/19213 18100/19212 18136/19231 18139/19246 +f 18082/19216 18084/19215 18120/19247 18118/19232 +f 18093/19195 18104/19207 18140/19239 18129/19248 +f 18085/19211 18076/19210 18112/19249 18121/19240 +f 18097/19197 18109/19204 18145/19250 18133/19251 +f 18090/19198 18097/19197 18133/19251 18126/19252 +f 18094/19196 18093/19195 18129/19248 18130/19234 +f 18076/19210 18077/19200 18113/19237 18112/19249 +f 18099/19189 18103/19213 18139/19246 18135/19253 +f 18084/19215 18081/19194 18117/19254 18120/19247 +f 18109/19204 18096/19203 18132/19255 18145/19250 +f 18079/19214 18090/19198 18126/19252 18115/19256 +f 18108/19219 18107/19218 18143/19257 18144/19226 +f 18088/19220 18089/19222 18125/19229 18124/19258 +f 18102/19205 18098/19190 18134/19259 18138/19260 +f 18080/19193 18083/19206 18119/19261 18116/19262 +f 18107/19218 18102/19205 18138/19260 18143/19257 +f 18083/19206 18088/19220 18124/19258 18119/19261 +f 18096/19203 18095/19223 18131/19235 18132/19255 +f 18078/19199 18079/19214 18115/19256 18114/19236 +f 18092/19221 18105/19202 18141/19244 18128/19238 +f 18086/19208 18075/19225 18111/19241 18122/19245 +f 18098/19190 18099/19189 18135/19253 18134/19259 +f 18081/19194 18080/19193 18116/19262 18117/19254 +f 18143/19257 18138/19260 18174/19263 18179/19264 +f 18119/19261 18124/19258 18160/19265 18155/19266 +f 18132/19255 18131/19235 18167/19267 18168/19268 +f 18114/19236 18115/19256 18151/19269 18150/19270 +f 18128/19238 18141/19244 18177/19271 18164/19272 +f 18122/19245 18111/19241 18147/19273 18158/19274 +f 18134/19259 18135/19253 18171/19275 18170/19276 +f 18117/19254 18116/19262 18152/19277 18153/19278 +f 18142/19227 18144/19226 18180/19279 18178/19280 +f 18125/19229 18123/19228 18159/19281 18161/19282 +f 18136/19231 18146/19230 18182/19283 18172/19284 +f 18127/19233 18118/19232 18154/19285 18163/19286 +f 18131/19235 18130/19234 18166/19287 18167/19267 +f 18113/19237 18114/19236 18150/19270 18149/19288 +f 18140/19239 18128/19238 18164/19272 18176/19289 +f 18111/19241 18121/19240 18157/19290 18147/19273 +f 18146/19230 18137/19242 18173/19291 18182/19283 +f 18137/19243 18127/19233 18163/19286 18173/19292 +f 18141/19244 18142/19227 18178/19280 18177/19271 +f 18123/19228 18122/19245 18158/19274 18159/19281 +f 18139/19246 18136/19231 18172/19284 18175/19293 +f 18118/19232 18120/19247 18156/19294 18154/19285 +f 18129/19248 18140/19239 18176/19289 18165/19295 +f 18121/19240 18112/19249 18148/19296 18157/19290 +f 18133/19251 18145/19250 18181/19297 18169/19298 +f 18126/19252 18133/19251 18169/19298 18162/19299 +f 18130/19234 18129/19248 18165/19295 18166/19287 +f 18112/19249 18113/19237 18149/19288 18148/19296 +f 18135/19253 18139/19246 18175/19293 18171/19275 +f 18120/19247 18117/19254 18153/19278 18156/19294 +f 18145/19250 18132/19255 18168/19268 18181/19297 +f 18115/19256 18126/19252 18162/19299 18151/19269 +f 18144/19226 18143/19257 18179/19264 18180/19279 +f 18124/19258 18125/19229 18161/19282 18160/19265 +f 18138/19260 18134/19259 18170/19276 18174/19263 +f 18116/19262 18119/19261 18155/19266 18152/19277 +f 18179/19264 18174/19263 18210/19300 18215/19301 +f 18155/19266 18160/19265 18196/19302 18191/19303 +f 18168/19268 18167/19267 18203/19304 18204/19305 +f 18150/19270 18151/19269 18187/19306 18186/19307 +f 18164/19272 18177/19271 18213/19308 18200/19309 +f 18158/19274 18147/19273 18183/19310 18194/19311 +f 18170/19276 18171/19275 18207/19312 18206/19313 +f 18153/19278 18152/19277 18188/19314 18189/19315 +f 18178/19280 18180/19279 18216/19316 18214/19317 +f 18161/19282 18159/19281 18195/19318 18197/19319 +f 18172/19284 18182/19283 18218/19320 18208/19321 +f 18163/19286 18154/19285 18190/19322 18199/19323 +f 18167/19267 18166/19287 18202/19324 18203/19304 +f 18149/19288 18150/19270 18186/19307 18185/19325 +f 18176/19289 18164/19272 18200/19309 18212/19326 +f 18147/19273 18157/19290 18193/19327 18183/19310 +f 18182/19283 18173/19291 18209/19328 18218/19320 +f 18173/19292 18163/19286 18199/19323 18209/19329 +f 18177/19271 18178/19280 18214/19317 18213/19308 +f 18159/19281 18158/19274 18194/19311 18195/19318 +f 18175/19293 18172/19284 18208/19321 18211/19330 +f 18154/19285 18156/19294 18192/19331 18190/19322 +f 18165/19295 18176/19289 18212/19326 18201/19332 +f 18157/19290 18148/19296 18184/19333 18193/19327 +f 18169/19298 18181/19297 18217/19334 18205/19335 +f 18162/19299 18169/19298 18205/19335 18198/19336 +f 18166/19287 18165/19295 18201/19332 18202/19324 +f 18148/19296 18149/19288 18185/19325 18184/19333 +f 18171/19275 18175/19293 18211/19330 18207/19312 +f 18156/19294 18153/19278 18189/19315 18192/19331 +f 18181/19297 18168/19268 18204/19305 18217/19334 +f 18151/19269 18162/19299 18198/19336 18187/19306 +f 18180/19279 18179/19264 18215/19301 18216/19316 +f 18160/19265 18161/19282 18197/19319 18196/19302 +f 18174/19263 18170/19276 18206/19313 18210/19300 +f 18152/19277 18155/19266 18191/19303 18188/19314 +f 18204/19305 18203/19304 18239/19337 18240/19338 +f 18186/19307 18187/19306 18223/19339 18222/19340 +f 18200/19309 18213/19308 18249/19341 18236/19342 +f 18194/19311 18183/19310 18219/19343 18230/19344 +f 18206/19313 18207/19312 18243/19345 18242/19346 +f 18189/19315 18188/19314 18224/19347 18225/19348 +f 18214/19317 18216/19316 18252/19349 18250/19350 +f 18197/19319 18195/19318 18231/19351 18233/19352 +f 18208/19321 18218/19320 18254/19353 18244/19354 +f 18199/19323 18190/19322 18226/19355 18235/19356 +f 18203/19304 18202/19324 18238/19357 18239/19337 +f 18185/19325 18186/19307 18222/19340 18221/19358 +f 18212/19326 18200/19309 18236/19342 18248/19359 +f 18183/19310 18193/19327 18229/19360 18219/19343 +f 18218/19320 18209/19328 18245/19361 18254/19353 +f 18209/19329 18199/19323 18235/19356 18245/19362 +f 18213/19308 18214/19317 18250/19350 18249/19341 +f 18195/19318 18194/19311 18230/19344 18231/19351 +f 18211/19330 18208/19321 18244/19354 18247/19363 +f 18190/19322 18192/19331 18228/19364 18226/19355 +f 18201/19332 18212/19326 18248/19359 18237/19365 +f 18193/19327 18184/19333 18220/19366 18229/19360 +f 18205/19335 18217/19334 18253/19367 18241/19368 +f 18198/19336 18205/19335 18241/19368 18234/19369 +f 18202/19324 18201/19332 18237/19365 18238/19357 +f 18184/19333 18185/19325 18221/19358 18220/19366 +f 18207/19312 18211/19330 18247/19363 18243/19345 +f 18192/19331 18189/19315 18225/19348 18228/19364 +f 18217/19334 18204/19305 18240/19338 18253/19367 +f 18187/19306 18198/19336 18234/19369 18223/19339 +f 18216/19316 18215/19301 18251/19370 18252/19349 +f 18196/19302 18197/19319 18233/19352 18232/19371 +f 18210/19300 18206/19313 18242/19346 18246/19372 +f 18188/19314 18191/19303 18227/19373 18224/19347 +f 18215/19301 18210/19300 18246/19372 18251/19370 +f 18191/19303 18196/19302 18232/19371 18227/19373 +f 18222/19340 18223/19339 18259/19374 18258/19375 +f 18236/19342 18249/19341 18285/19376 18272/19377 +f 18230/19344 18219/19343 18255/19378 18266/19379 +f 18242/19346 18243/19345 18279/19380 18278/19381 +f 18225/19348 18224/19347 18260/19382 18261/19383 +f 18250/19350 18252/19349 18288/19384 18286/19385 +f 18233/19352 18231/19351 18267/19386 18269/19387 +f 18244/19354 18254/19353 18290/19388 18280/19389 +f 18235/19356 18226/19355 18262/19390 18271/19391 +f 18239/19337 18238/19357 18274/19392 18275/19393 +f 18221/19358 18222/19340 18258/19375 18257/19394 +f 18248/19359 18236/19342 18272/19377 18284/19395 +f 18219/19343 18229/19360 18265/19396 18255/19378 +f 18254/19353 18245/19361 18281/19397 18290/19388 +f 18245/19362 18235/19356 18271/19391 18281/19398 +f 18249/19341 18250/19350 18286/19385 18285/19376 +f 18231/19351 18230/19344 18266/19379 18267/19386 +f 18247/19363 18244/19354 18280/19389 18283/19399 +f 18226/19355 18228/19364 18264/19400 18262/19390 +f 18237/19365 18248/19359 18284/19395 18273/19401 +f 18229/19360 18220/19366 18256/19402 18265/19396 +f 18241/19368 18253/19367 18289/19403 18277/19404 +f 18234/19369 18241/19368 18277/19404 18270/19405 +f 18238/19357 18237/19365 18273/19401 18274/19392 +f 18220/19366 18221/19358 18257/19394 18256/19402 +f 18243/19345 18247/19363 18283/19399 18279/19380 +f 18228/19364 18225/19348 18261/19383 18264/19400 +f 18253/19367 18240/19338 18276/19406 18289/19403 +f 18223/19339 18234/19369 18270/19405 18259/19374 +f 18252/19349 18251/19370 18287/19407 18288/19384 +f 18232/19371 18233/19352 18269/19387 18268/19408 +f 18246/19372 18242/19346 18278/19381 18282/19409 +f 18224/19347 18227/19373 18263/19410 18260/19382 +f 18251/19370 18246/19372 18282/19409 18287/19407 +f 18227/19373 18232/19371 18268/19408 18263/19410 +f 18240/19338 18239/19337 18275/19393 18276/19406 +f 18272/19377 18285/19376 18321/19411 18308/19412 +f 18266/19379 18255/19378 18291/19413 18302/19414 +f 18278/19381 18279/19380 18315/19415 18314/19416 +f 18261/19383 18260/19382 18296/19417 18297/19418 +f 18286/19385 18288/19384 18324/19419 18322/19420 +f 18269/19387 18267/19386 18303/19421 18305/19422 +f 18280/19389 18290/19388 18326/19423 18316/19424 +f 18271/19391 18262/19390 18298/19425 18307/19426 +f 18275/19393 18274/19392 18310/19427 18311/19428 +f 18257/19394 18258/19375 18294/19429 18293/19430 +f 18284/19395 18272/19377 18308/19412 18320/19431 +f 18255/19378 18265/19396 18301/19432 18291/19413 +f 18290/19388 18281/19397 18317/19433 18326/19423 +f 18281/19398 18271/19391 18307/19426 18317/19434 +f 18285/19376 18286/19385 18322/19420 18321/19411 +f 18267/19386 18266/19379 18302/19414 18303/19421 +f 18283/19399 18280/19389 18316/19424 18319/19435 +f 18262/19390 18264/19400 18300/19436 18298/19425 +f 18273/19401 18284/19395 18320/19431 18309/19437 +f 18265/19396 18256/19402 18292/19438 18301/19432 +f 18277/19404 18289/19403 18325/19439 18313/19440 +f 18270/19405 18277/19404 18313/19440 18306/19441 +f 18274/19392 18273/19401 18309/19437 18310/19427 +f 18256/19402 18257/19394 18293/19430 18292/19438 +f 18279/19380 18283/19399 18319/19435 18315/19415 +f 18264/19400 18261/19383 18297/19418 18300/19436 +f 18289/19403 18276/19406 18312/19442 18325/19439 +f 18259/19374 18270/19405 18306/19441 18295/19443 +f 18288/19384 18287/19407 18323/19444 18324/19419 +f 18268/19408 18269/19387 18305/19422 18304/19445 +f 18282/19409 18278/19381 18314/19416 18318/19446 +f 18260/19382 18263/19410 18299/19447 18296/19417 +f 18287/19407 18282/19409 18318/19446 18323/19444 +f 18263/19410 18268/19408 18304/19445 18299/19447 +f 18276/19406 18275/19393 18311/19428 18312/19442 +f 18258/19375 18259/19374 18295/19443 18294/19429 +f 18302/19414 18291/19413 18327/19448 18338/19449 +f 18314/19416 18315/19415 18351/19450 18350/19451 +f 18297/19418 18296/19417 18332/19452 18333/19453 +f 18322/19420 18324/19419 18360/19454 18358/19455 +f 18305/19422 18303/19421 18339/19456 18341/19457 +f 18316/19424 18326/19423 18362/19458 18352/19459 +f 18307/19426 18298/19425 18334/19460 18343/19461 +f 18311/19428 18310/19427 18346/19462 18347/19463 +f 18293/19430 18294/19429 18330/19464 18329/19465 +f 18320/19431 18308/19412 18344/19466 18356/19467 +f 18291/19413 18301/19432 18337/19468 18327/19448 +f 18326/19423 18317/19433 18353/19469 18362/19458 +f 18317/19434 18307/19426 18343/19461 18353/19470 +f 18321/19411 18322/19420 18358/19455 18357/19471 +f 18303/19421 18302/19414 18338/19449 18339/19456 +f 18319/19435 18316/19424 18352/19459 18355/19472 +f 18298/19425 18300/19436 18336/19473 18334/19460 +f 18309/19437 18320/19431 18356/19467 18345/19474 +f 18301/19432 18292/19438 18328/19475 18337/19468 +f 18313/19440 18325/19439 18361/19476 18349/19477 +f 18306/19441 18313/19440 18349/19477 18342/19478 +f 18310/19427 18309/19437 18345/19474 18346/19462 +f 18292/19438 18293/19430 18329/19465 18328/19475 +f 18315/19415 18319/19435 18355/19472 18351/19450 +f 18300/19436 18297/19418 18333/19453 18336/19473 +f 18325/19439 18312/19442 18348/19479 18361/19476 +f 18295/19443 18306/19441 18342/19478 18331/19480 +f 18324/19419 18323/19444 18359/19481 18360/19454 +f 18304/19445 18305/19422 18341/19457 18340/19482 +f 18318/19446 18314/19416 18350/19451 18354/19483 +f 18296/19417 18299/19447 18335/19484 18332/19452 +f 18323/19444 18318/19446 18354/19483 18359/19481 +f 18299/19447 18304/19445 18340/19482 18335/19484 +f 18312/19442 18311/19428 18347/19463 18348/19479 +f 18294/19429 18295/19443 18331/19480 18330/19464 +f 18308/19412 18321/19411 18357/19471 18344/19466 +f 18350/19451 18351/19450 18387/19485 18386/19486 +f 18333/19453 18332/19452 18368/19487 18369/19488 +f 18358/19455 18360/19454 18396/19489 18394/19490 +f 18341/19457 18339/19456 18375/19491 18377/19492 +f 18352/19459 18362/19458 18398/19493 18388/19494 +f 18343/19461 18334/19460 18370/19495 18379/19496 +f 18347/19463 18346/19462 18382/19497 18383/19498 +f 18329/19465 18330/19464 18366/19499 18365/19500 +f 18356/19467 18344/19466 18380/19501 18392/19502 +f 18327/19448 18337/19468 18373/19503 18363/19504 +f 18362/19458 18353/19469 18389/19505 18398/19493 +f 18353/19470 18343/19461 18379/19496 18389/19506 +f 18357/19471 18358/19455 18394/19490 18393/19507 +f 18339/19456 18338/19449 18374/19508 18375/19491 +f 18355/19472 18352/19459 18388/19494 18391/19509 +f 18334/19460 18336/19473 18372/19510 18370/19495 +f 18345/19474 18356/19467 18392/19502 18381/19511 +f 18337/19468 18328/19475 18364/19512 18373/19503 +f 18349/19477 18361/19476 18397/19513 18385/19514 +f 18342/19478 18349/19477 18385/19514 18378/19515 +f 18346/19462 18345/19474 18381/19511 18382/19497 +f 18328/19475 18329/19465 18365/19500 18364/19512 +f 18351/19450 18355/19472 18391/19509 18387/19485 +f 18336/19473 18333/19453 18369/19488 18372/19510 +f 18361/19476 18348/19479 18384/19516 18397/19513 +f 18331/19480 18342/19478 18378/19515 18367/19517 +f 18360/19454 18359/19481 18395/19518 18396/19489 +f 18340/19482 18341/19457 18377/19492 18376/19519 +f 18354/19483 18350/19451 18386/19486 18390/19520 +f 18332/19452 18335/19484 18371/19521 18368/19487 +f 18359/19481 18354/19483 18390/19520 18395/19518 +f 18335/19484 18340/19482 18376/19519 18371/19521 +f 18348/19479 18347/19463 18383/19498 18384/19516 +f 18330/19464 18331/19480 18367/19517 18366/19499 +f 18344/19466 18357/19471 18393/19507 18380/19501 +f 18338/19449 18327/19448 18363/19504 18374/19508 +f 18394/19490 18396/19489 18432/19522 18430/19523 +f 18377/19492 18375/19491 18411/19524 18413/19525 +f 18388/19494 18398/19493 18434/19526 18424/19527 +f 18379/19496 18370/19495 18406/19528 18415/19529 +f 18383/19498 18382/19497 18418/19530 18419/19531 +f 18365/19500 18366/19499 18402/19532 18401/19533 +f 18392/19502 18380/19501 18416/19534 18428/19535 +f 18363/19504 18373/19503 18409/19536 18399/19537 +f 18398/19493 18389/19505 18425/19538 18434/19526 +f 18389/19506 18379/19496 18415/19529 18425/19539 +f 18393/19507 18394/19490 18430/19523 18429/19540 +f 18375/19491 18374/19508 18410/19541 18411/19524 +f 18391/19509 18388/19494 18424/19527 18427/19542 +f 18370/19495 18372/19510 18408/19543 18406/19528 +f 18381/19511 18392/19502 18428/19535 18417/19544 +f 18373/19503 18364/19512 18400/19545 18409/19536 +f 18385/19514 18397/19513 18433/19546 18421/19547 +f 18378/19515 18385/19514 18421/19547 18414/19548 +f 18382/19497 18381/19511 18417/19544 18418/19530 +f 18364/19512 18365/19500 18401/19533 18400/19545 +f 18387/19485 18391/19509 18427/19542 18423/19549 +f 18372/19510 18369/19488 18405/19550 18408/19543 +f 18397/19513 18384/19516 18420/19551 18433/19546 +f 18367/19517 18378/19515 18414/19548 18403/19552 +f 18396/19489 18395/19518 18431/19553 18432/19522 +f 18376/19519 18377/19492 18413/19525 18412/19554 +f 18390/19520 18386/19486 18422/19555 18426/19556 +f 18368/19487 18371/19521 18407/19557 18404/19558 +f 18395/19518 18390/19520 18426/19556 18431/19553 +f 18371/19521 18376/19519 18412/19554 18407/19557 +f 18384/19516 18383/19498 18419/19531 18420/19551 +f 18366/19499 18367/19517 18403/19552 18402/19532 +f 18380/19501 18393/19507 18429/19540 18416/19534 +f 18374/19508 18363/19504 18399/19537 18410/19541 +f 18386/19486 18387/19485 18423/19549 18422/19555 +f 18369/19488 18368/19487 18404/19558 18405/19550 +f 18430/19523 18432/19522 18468/19559 18466/19560 +f 18413/19525 18411/19524 18447/19561 18449/19562 +f 18424/19527 18434/19526 18470/19563 18460/19564 +f 18415/19529 18406/19528 18442/19565 18451/19566 +f 18419/19531 18418/19530 18454/19567 18455/19568 +f 18401/19533 18402/19532 18438/19569 18437/19570 +f 18428/19535 18416/19534 18452/19571 18464/19572 +f 18399/19537 18409/19536 18445/19573 18435/19574 +f 18434/19526 18425/19538 18461/19575 18470/19563 +f 18425/19539 18415/19529 18451/19566 18461/19576 +f 18429/19540 18430/19523 18466/19560 18465/19577 +f 18411/19524 18410/19541 18446/19578 18447/19561 +f 18427/19542 18424/19527 18460/19564 18463/19579 +f 18406/19528 18408/19543 18444/19580 18442/19565 +f 18417/19544 18428/19535 18464/19572 18453/19581 +f 18409/19536 18400/19545 18436/19582 18445/19573 +f 18421/19547 18433/19546 18469/19583 18457/19584 +f 18414/19548 18421/19547 18457/19584 18450/19585 +f 18418/19530 18417/19544 18453/19581 18454/19567 +f 18400/19545 18401/19533 18437/19570 18436/19582 +f 18423/19549 18427/19542 18463/19579 18459/19586 +f 18408/19543 18405/19550 18441/19587 18444/19580 +f 18433/19546 18420/19551 18456/19588 18469/19583 +f 18403/19552 18414/19548 18450/19585 18439/19589 +f 18432/19522 18431/19553 18467/19590 18468/19559 +f 18412/19554 18413/19525 18449/19562 18448/19591 +f 18426/19556 18422/19555 18458/19592 18462/19593 +f 18404/19558 18407/19557 18443/19594 18440/19595 +f 18431/19553 18426/19556 18462/19593 18467/19590 +f 18407/19557 18412/19554 18448/19591 18443/19594 +f 18420/19551 18419/19531 18455/19568 18456/19588 +f 18402/19532 18403/19552 18439/19589 18438/19569 +f 18416/19534 18429/19540 18465/19577 18452/19571 +f 18410/19541 18399/19537 18435/19574 18446/19578 +f 18422/19555 18423/19549 18459/19586 18458/19592 +f 18405/19550 18404/19558 18440/19595 18441/19587 +f 18460/19564 18470/19563 18506/19596 18496/19597 +f 18451/19566 18442/19565 18478/19598 18487/19599 +f 18455/19568 18454/19567 18490/19600 18491/19601 +f 18437/19570 18438/19569 18474/19602 18473/19603 +f 18464/19572 18452/19571 18488/19604 18500/19605 +f 18435/19574 18445/19573 18481/19606 18471/19607 +f 18470/19563 18461/19575 18497/19608 18506/19596 +f 18461/19576 18451/19566 18487/19599 18497/19609 +f 18465/19577 18466/19560 18502/19610 18501/19611 +f 18447/19561 18446/19578 18482/19612 18483/19613 +f 18463/19579 18460/19564 18496/19597 18499/19614 +f 18442/19565 18444/19580 18480/19615 18478/19598 +f 18453/19581 18464/19572 18500/19605 18489/19616 +f 18445/19573 18436/19582 18472/19617 18481/19606 +f 18457/19584 18469/19583 18505/19618 18493/19619 +f 18450/19585 18457/19584 18493/19619 18486/19620 +f 18454/19567 18453/19581 18489/19616 18490/19600 +f 18436/19582 18437/19570 18473/19603 18472/19617 +f 18459/19586 18463/19579 18499/19614 18495/19621 +f 18444/19580 18441/19587 18477/19622 18480/19615 +f 18469/19583 18456/19588 18492/19623 18505/19618 +f 18439/19589 18450/19585 18486/19620 18475/19624 +f 18468/19559 18467/19590 18503/19625 18504/19626 +f 18448/19591 18449/19562 18485/19627 18484/19628 +f 18462/19593 18458/19592 18494/19629 18498/19630 +f 18440/19595 18443/19594 18479/19631 18476/19632 +f 18467/19590 18462/19593 18498/19630 18503/19625 +f 18443/19594 18448/19591 18484/19628 18479/19631 +f 18456/19588 18455/19568 18491/19601 18492/19623 +f 18438/19569 18439/19589 18475/19624 18474/19602 +f 18452/19571 18465/19577 18501/19611 18488/19604 +f 18446/19578 18435/19574 18471/19607 18482/19612 +f 18458/19592 18459/19586 18495/19621 18494/19629 +f 18441/19587 18440/19595 18476/19632 18477/19622 +f 18466/19560 18468/19559 18504/19626 18502/19610 +f 18449/19562 18447/19561 18483/19613 18485/19627 +f 18496/19597 18506/19596 18542/19633 18532/19634 +f 18487/19599 18478/19598 18514/19635 18523/19636 +f 18491/19601 18490/19600 18526/19637 18527/19638 +f 18473/19603 18474/19602 18510/19639 18509/19640 +f 18500/19605 18488/19604 18524/19641 18536/19642 +f 18471/19607 18481/19606 18517/19643 18507/19644 +f 18506/19596 18497/19608 18533/19645 18542/19633 +f 18497/19609 18487/19599 18523/19636 18533/19646 +f 18501/19611 18502/19610 18538/19647 18537/19648 +f 18483/19613 18482/19612 18518/19649 18519/19650 +f 18499/19614 18496/19597 18532/19634 18535/19651 +f 18478/19598 18480/19615 18516/19652 18514/19635 +f 18489/19616 18500/19605 18536/19642 18525/19653 +f 18481/19606 18472/19617 18508/19654 18517/19643 +f 18493/19619 18505/19618 18541/19655 18529/19656 +f 18486/19620 18493/19619 18529/19656 18522/19657 +f 18490/19600 18489/19616 18525/19653 18526/19637 +f 18472/19617 18473/19603 18509/19640 18508/19654 +f 18495/19621 18499/19614 18535/19651 18531/19658 +f 18480/19615 18477/19622 18513/19659 18516/19652 +f 18505/19618 18492/19623 18528/19660 18541/19655 +f 18475/19624 18486/19620 18522/19657 18511/19661 +f 18504/19626 18503/19625 18539/19662 18540/19663 +f 18484/19628 18485/19627 18521/19664 18520/19665 +f 18498/19630 18494/19629 18530/19666 18534/19667 +f 18476/19632 18479/19631 18515/19668 18512/19669 +f 18503/19625 18498/19630 18534/19667 18539/19662 +f 18479/19631 18484/19628 18520/19665 18515/19668 +f 18492/19623 18491/19601 18527/19638 18528/19660 +f 18474/19602 18475/19624 18511/19661 18510/19639 +f 18488/19604 18501/19611 18537/19648 18524/19641 +f 18482/19612 18471/19607 18507/19644 18518/19649 +f 18494/19629 18495/19621 18531/19658 18530/19666 +f 18477/19622 18476/19632 18512/19669 18513/19659 +f 18502/19610 18504/19626 18540/19663 18538/19647 +f 18485/19627 18483/19613 18519/19650 18521/19664 +f 18532/19634 18542/19633 18578/19670 18568/19671 +f 18523/19636 18514/19635 18550/19672 18559/19673 +f 18527/19638 18526/19637 18562/19674 18563/19675 +f 18509/19640 18510/19639 18546/19676 18545/19677 +f 18536/19642 18524/19641 18560/19678 18572/19679 +f 18507/19644 18517/19643 18553/19680 18543/19681 +f 18542/19633 18533/19645 18569/19682 18578/19670 +f 18533/19646 18523/19636 18559/19673 18569/19683 +f 18537/19648 18538/19647 18574/19684 18573/19685 +f 18519/19650 18518/19649 18554/19686 18555/19687 +f 18535/19651 18532/19634 18568/19671 18571/19688 +f 18514/19635 18516/19652 18552/19689 18550/19672 +f 18525/19653 18536/19642 18572/19679 18561/19690 +f 18517/19643 18508/19654 18544/19691 18553/19680 +f 18529/19656 18541/19655 18577/19692 18565/19693 +f 18522/19657 18529/19656 18565/19693 18558/19694 +f 18526/19637 18525/19653 18561/19690 18562/19674 +f 18508/19654 18509/19640 18545/19677 18544/19691 +f 18531/19658 18535/19651 18571/19688 18567/19695 +f 18516/19652 18513/19659 18549/19696 18552/19689 +f 18541/19655 18528/19660 18564/19697 18577/19692 +f 18511/19661 18522/19657 18558/19694 18547/19698 +f 18540/19663 18539/19662 18575/19699 18576/19700 +f 18520/19665 18521/19664 18557/19701 18556/19702 +f 18534/19667 18530/19666 18566/19703 18570/19704 +f 18512/19669 18515/19668 18551/19705 18548/19706 +f 18539/19662 18534/19667 18570/19704 18575/19699 +f 18515/19668 18520/19665 18556/19702 18551/19705 +f 18528/19660 18527/19638 18563/19675 18564/19697 +f 18510/19639 18511/19661 18547/19698 18546/19676 +f 18524/19641 18537/19648 18573/19685 18560/19678 +f 18518/19649 18507/19644 18543/19681 18554/19686 +f 18530/19666 18531/19658 18567/19695 18566/19703 +f 18513/19659 18512/19669 18548/19706 18549/19696 +f 18538/19647 18540/19663 18576/19700 18574/19684 +f 18521/19664 18519/19650 18555/19687 18557/19701 +f 18560/19678 18573/19685 18609/19707 18596/19708 +f 18554/19686 18543/19681 18579/19709 18590/19710 +f 18566/19703 18567/19695 18603/19711 18602/19712 +f 18549/19696 18548/19706 18584/19713 18585/19714 +f 18574/19684 18576/19700 18612/19715 18610/19716 +f 18557/19701 18555/19687 18591/19717 18593/19718 +f 18568/19671 18578/19670 18614/19719 18604/19720 +f 18559/19673 18550/19672 18586/19721 18595/19722 +f 18563/19675 18562/19674 18598/19723 18599/19724 +f 18545/19677 18546/19676 18582/19725 18581/19726 +f 18572/19679 18560/19678 18596/19708 18608/19727 +f 18543/19681 18553/19680 18589/19728 18579/19709 +f 18578/19670 18569/19682 18605/19729 18614/19719 +f 18569/19683 18559/19673 18595/19722 18605/19730 +f 18573/19685 18574/19684 18610/19716 18609/19707 +f 18555/19687 18554/19686 18590/19710 18591/19717 +f 18571/19688 18568/19671 18604/19720 18607/19731 +f 18550/19672 18552/19689 18588/19732 18586/19721 +f 18561/19690 18572/19679 18608/19727 18597/19733 +f 18553/19680 18544/19691 18580/19734 18589/19728 +f 18565/19693 18577/19692 18613/19735 18601/19736 +f 18558/19694 18565/19693 18601/19736 18594/19737 +f 18562/19674 18561/19690 18597/19733 18598/19723 +f 18544/19691 18545/19677 18581/19726 18580/19734 +f 18567/19695 18571/19688 18607/19731 18603/19711 +f 18552/19689 18549/19696 18585/19714 18588/19732 +f 18577/19692 18564/19697 18600/19738 18613/19735 +f 18547/19698 18558/19694 18594/19737 18583/19739 +f 18576/19700 18575/19699 18611/19740 18612/19715 +f 18556/19702 18557/19701 18593/19718 18592/19741 +f 18570/19704 18566/19703 18602/19712 18606/19742 +f 18548/19706 18551/19705 18587/19743 18584/19713 +f 18575/19699 18570/19704 18606/19742 18611/19740 +f 18551/19705 18556/19702 18592/19741 18587/19743 +f 18564/19697 18563/19675 18599/19724 18600/19738 +f 18546/19676 18547/19698 18583/19739 18582/19725 +f 18602/19712 18603/19711 18639/19744 18638/19745 +f 18585/19714 18584/19713 18620/19746 18621/19747 +f 18610/19716 18612/19715 18648/19748 18646/19749 +f 18593/19718 18591/19717 18627/19750 18629/19751 +f 18604/19720 18614/19719 18650/19752 18640/19753 +f 18595/19722 18586/19721 18622/19754 18631/19755 +f 18599/19724 18598/19723 18634/19756 18635/19757 +f 18581/19726 18582/19725 18618/19758 18617/19759 +f 18608/19727 18596/19708 18632/19760 18644/19761 +f 18579/19709 18589/19728 18625/19762 18615/19763 +f 18614/19719 18605/19729 18641/19764 18650/19752 +f 18605/19730 18595/19722 18631/19755 18641/19765 +f 18609/19707 18610/19716 18646/19749 18645/19766 +f 18591/19717 18590/19710 18626/19767 18627/19750 +f 18607/19731 18604/19720 18640/19753 18643/19768 +f 18586/19721 18588/19732 18624/19769 18622/19754 +f 18597/19733 18608/19727 18644/19761 18633/19770 +f 18589/19728 18580/19734 18616/19771 18625/19762 +f 18601/19736 18613/19735 18649/19772 18637/19773 +f 18594/19737 18601/19736 18637/19773 18630/19774 +f 18598/19723 18597/19733 18633/19770 18634/19756 +f 18580/19734 18581/19726 18617/19759 18616/19771 +f 18603/19711 18607/19731 18643/19768 18639/19744 +f 18588/19732 18585/19714 18621/19747 18624/19769 +f 18613/19735 18600/19738 18636/19775 18649/19772 +f 18583/19739 18594/19737 18630/19774 18619/19776 +f 18612/19715 18611/19740 18647/19777 18648/19748 +f 18592/19741 18593/19718 18629/19751 18628/19778 +f 18606/19742 18602/19712 18638/19745 18642/19779 +f 18584/19713 18587/19743 18623/19780 18620/19746 +f 18611/19740 18606/19742 18642/19779 18647/19777 +f 18587/19743 18592/19741 18628/19778 18623/19780 +f 18600/19738 18599/19724 18635/19757 18636/19775 +f 18582/19725 18583/19739 18619/19776 18618/19758 +f 18596/19708 18609/19707 18645/19766 18632/19760 +f 18590/19710 18579/19709 18615/19763 18626/19767 +f 18638/19745 18639/19744 18675/19781 18674/19782 +f 18621/19747 18620/19746 18656/19783 18657/19784 +f 18646/19749 18648/19748 18684/19785 18682/19786 +f 18629/19751 18627/19750 18663/19787 18665/19788 +f 18640/19753 18650/19752 18686/19789 18676/19790 +f 18631/19755 18622/19754 18658/19791 18667/19792 +f 18635/19757 18634/19756 18670/19793 18671/19794 +f 18617/19759 18618/19758 18654/19795 18653/19796 +f 18644/19761 18632/19760 18668/19797 18680/19798 +f 18615/19763 18625/19762 18661/19799 18651/19800 +f 18650/19752 18641/19764 18677/19801 18686/19789 +f 18641/19765 18631/19755 18667/19792 18677/19802 +f 18645/19766 18646/19749 18682/19786 18681/19803 +f 18627/19750 18626/19767 18662/19804 18663/19787 +f 18643/19768 18640/19753 18676/19790 18679/19805 +f 18622/19754 18624/19769 18660/19806 18658/19791 +f 18633/19770 18644/19761 18680/19798 18669/19807 +f 18625/19762 18616/19771 18652/19808 18661/19799 +f 18637/19773 18649/19772 18685/19809 18673/19810 +f 18630/19774 18637/19773 18673/19810 18666/19811 +f 18634/19756 18633/19770 18669/19807 18670/19793 +f 18616/19771 18617/19759 18653/19796 18652/19808 +f 18639/19744 18643/19768 18679/19805 18675/19781 +f 18624/19769 18621/19747 18657/19784 18660/19806 +f 18649/19772 18636/19775 18672/19812 18685/19809 +f 18619/19776 18630/19774 18666/19811 18655/19813 +f 18648/19748 18647/19777 18683/19814 18684/19785 +f 18628/19778 18629/19751 18665/19788 18664/19815 +f 18642/19779 18638/19745 18674/19782 18678/19816 +f 18620/19746 18623/19780 18659/19817 18656/19783 +f 18647/19777 18642/19779 18678/19816 18683/19814 +f 18623/19780 18628/19778 18664/19815 18659/19817 +f 18636/19775 18635/19757 18671/19794 18672/19812 +f 18618/19758 18619/19776 18655/19813 18654/19795 +f 18632/19760 18645/19766 18681/19803 18668/19797 +f 18626/19767 18615/19763 18651/19800 18662/19804 +f 18682/19786 18684/19785 18720/19818 18718/19819 +f 18665/19788 18663/19787 18699/19820 18701/19821 +f 18676/19790 18686/19789 18722/19822 18712/19823 +f 18667/19792 18658/19791 18694/19824 18703/19825 +f 18671/19794 18670/19793 18706/19826 18707/19827 +f 18653/19796 18654/19795 18690/19828 18689/19829 +f 18680/19798 18668/19797 18704/19830 18716/19831 +f 18651/19800 18661/19799 18697/19832 18687/19833 +f 18686/19789 18677/19801 18713/19834 18722/19822 +f 18677/19802 18667/19792 18703/19825 18713/19835 +f 18681/19803 18682/19786 18718/19819 18717/19836 +f 18663/19787 18662/19804 18698/19837 18699/19820 +f 18679/19805 18676/19790 18712/19823 18715/19838 +f 18658/19791 18660/19806 18696/19839 18694/19824 +f 18669/19807 18680/19798 18716/19831 18705/19840 +f 18661/19799 18652/19808 18688/19841 18697/19832 +f 18673/19810 18685/19809 18721/19842 18709/19843 +f 18666/19811 18673/19810 18709/19843 18702/19844 +f 18670/19793 18669/19807 18705/19840 18706/19826 +f 18652/19808 18653/19796 18689/19829 18688/19841 +f 18675/19781 18679/19805 18715/19838 18711/19845 +f 18660/19806 18657/19784 18693/19846 18696/19839 +f 18685/19809 18672/19812 18708/19847 18721/19842 +f 18655/19813 18666/19811 18702/19844 18691/19848 +f 18684/19785 18683/19814 18719/19849 18720/19818 +f 18664/19815 18665/19788 18701/19821 18700/19850 +f 18678/19816 18674/19782 18710/19851 18714/19852 +f 18656/19783 18659/19817 18695/19853 18692/19854 +f 18683/19814 18678/19816 18714/19852 18719/19849 +f 18659/19817 18664/19815 18700/19850 18695/19853 +f 18672/19812 18671/19794 18707/19827 18708/19847 +f 18654/19795 18655/19813 18691/19848 18690/19828 +f 18668/19797 18681/19803 18717/19836 18704/19830 +f 18662/19804 18651/19800 18687/19833 18698/19837 +f 18674/19782 18675/19781 18711/19845 18710/19851 +f 18657/19784 18656/19783 18692/19854 18693/19846 +g helper-hair +f 18724/19855 18723/19856 18725/19857 18726/19858 +f 18725/19857 18723/19856 18727/19859 18728/19860 +f 18728/19860 18727/19859 18729/19861 18730/19862 +f 18730/19862 18729/19861 18731/19863 18732/19864 +f 18732/19864 18731/19863 18733/19865 18734/19866 +f 18734/19866 18733/19865 18735/19867 18736/19868 +f 18736/19868 18735/19867 18737/19869 18738/19870 +f 18738/19870 18737/19869 18739/19871 18740/19872 +f 18742/19873 18741/19874 18743/19875 18744/19876 +f 18743/19875 18741/19874 18745/19877 18746/19878 +f 18746/19878 18745/19877 18747/19879 18748/19880 +f 18748/19880 18747/19879 18749/19881 18750/19882 +f 18750/19882 18749/19881 18751/19883 18752/19884 +f 18752/19884 18751/19883 18753/19885 18754/19886 +f 18754/19886 18753/19885 18755/19887 18756/19888 +f 18756/19888 18755/19887 18757/19889 18758/19890 +f 18760/19891 18759/19892 18761/19893 18762/19894 +f 18761/19893 18759/19892 18763/19895 18764/19896 +f 18764/19896 18763/19895 18765/19897 18766/19898 +f 18766/19898 18765/19897 18767/19899 18768/19900 +f 18768/19900 18767/19899 18769/19901 18770/19902 +f 18770/19902 18769/19901 18771/19903 18772/19904 +f 18772/19904 18771/19903 18773/19905 18774/19906 +f 18774/19906 18773/19905 18775/19907 18776/19908 +f 18776/19908 18775/19907 18777/19909 18778/19910 +f 18778/19910 18777/19909 18779/19911 18780/19912 +f 18780/19912 18779/19911 18781/19913 18782/19914 +f 18782/19914 18781/19913 18783/19915 18784/19916 +f 18784/19916 18783/19915 18785/19917 18786/19918 +f 18786/19918 18785/19917 18787/19919 18788/19920 +f 18788/19920 18787/19919 18789/19921 18790/19922 +f 18792/19923 18791/19924 18793/19925 18794/19926 +f 18793/19925 18791/19924 18795/19927 18796/19928 +f 18796/19928 18795/19927 18797/19929 18798/19930 +f 18798/19930 18797/19929 18799/19931 18800/19932 +f 18800/19932 18799/19931 18801/19933 18802/19934 +f 18802/19934 18801/19933 18803/19935 18804/19936 +f 18804/19936 18803/19935 18805/19937 18806/19938 +f 18806/19938 18805/19937 18807/19939 18808/19940 +f 18810/19941 18809/19942 18811/19943 18812/19944 +f 18811/19943 18809/19942 18813/19945 18814/19946 +f 18814/19946 18813/19945 18815/19947 18816/19948 +f 18816/19948 18815/19947 18817/19949 18818/19950 +f 18818/19950 18817/19949 18819/19951 18820/19952 +f 18820/19952 18819/19951 18821/19953 18822/19954 +f 18822/19954 18821/19953 18823/19955 18824/19956 +f 18824/19956 18823/19955 18825/19957 18826/19958 +f 18826/19958 18825/19957 18827/19959 18828/19960 +f 18828/19960 18827/19959 18829/19961 18830/19962 +f 18830/19962 18829/19961 18831/19963 18832/19964 +f 18832/19964 18831/19963 18833/19965 18834/19966 +f 18834/19966 18833/19965 18835/19967 18836/19968 +f 18836/19968 18835/19967 18837/19969 18838/19970 +f 18838/19970 18837/19969 18839/19971 18840/19972 +f 18842/19973 18841/19974 18843/19975 18844/19976 +f 18843/19975 18841/19974 18845/19977 18846/19978 +f 18846/19978 18845/19977 18847/19979 18848/19980 +f 18848/19980 18847/19979 18849/19981 18850/19982 +f 18850/19982 18849/19981 18851/19983 18852/19984 +f 18852/19984 18851/19983 18853/19985 18854/19986 +f 18854/19986 18853/19985 18855/19987 18856/19988 +f 18856/19988 18855/19987 18857/19989 18858/19990 +f 18858/19990 18857/19989 18859/19991 18860/19992 +f 18860/19992 18859/19991 18861/19993 18862/19994 +f 18862/19994 18861/19993 18863/19995 18864/19996 +f 18864/19996 18863/19995 18865/19997 18866/19998 +f 18866/19998 18865/19997 18867/19999 18868/20000 +f 18868/20000 18867/19999 18869/20001 18870/20002 +f 18870/20002 18869/20001 18871/20003 18872/20004 +f 18874/20005 18873/20006 18875/20007 18876/20008 +f 18875/20007 18873/20006 18877/20009 18878/20010 +f 18878/20010 18877/20009 18879/20011 18880/20012 +f 18880/20012 18879/20011 18881/20013 18882/20014 +f 18882/20014 18881/20013 18883/20015 18884/20016 +f 18884/20016 18883/20015 18885/20017 18886/20018 +f 18886/20018 18885/20017 18887/20019 18888/20020 +f 18888/20020 18887/20019 18889/20021 18890/20022 +f 18890/20022 18889/20021 18891/20023 18892/20024 +f 18892/20024 18891/20023 18893/20025 18894/20026 +f 18894/20026 18893/20025 18895/20027 18896/20028 +f 18896/20028 18895/20027 18897/20029 18898/20030 +f 18898/20030 18897/20029 18899/20031 18900/20032 +f 18900/20032 18899/20031 18901/20033 18902/20034 +f 18902/20034 18901/20033 18903/20035 18904/20036 +f 18906/20037 18905/20038 18907/20039 18908/20040 +f 18907/20039 18905/20038 18909/20041 18910/20042 +f 18910/20042 18909/20041 18911/20043 18912/20044 +f 18912/20044 18911/20043 18913/20045 18914/20046 +f 18914/20046 18913/20045 18915/20047 18916/20048 +f 18916/20048 18915/20047 18917/20049 18918/20050 +f 18918/20050 18917/20049 18919/20051 18920/20052 +f 18920/20052 18919/20051 18921/20053 18922/20054 +f 18922/20054 18921/20053 18923/20055 18924/20056 +f 18924/20056 18923/20055 18925/20057 18926/20058 +f 18926/20058 18925/20057 18927/20059 18928/20060 +f 18928/20060 18927/20059 18929/20061 18930/20062 +f 18930/20062 18929/20061 18931/20063 18932/20064 +f 18932/20064 18931/20063 18933/20065 18934/20066 +f 18934/20066 18933/20065 18935/20067 18936/20068 +f 18938/20069 18940/20070 18939/20071 18937/20072 +f 18939/20071 18942/20073 18941/20074 18937/20072 +f 18942/20073 18944/20075 18943/20076 18941/20074 +f 18944/20075 18946/20077 18945/20078 18943/20076 +f 18946/20077 18948/20079 18947/20080 18945/20078 +f 18948/20079 18950/20081 18949/20082 18947/20080 +f 18950/20081 18952/20083 18951/20084 18949/20082 +f 18952/20083 18954/20085 18953/20086 18951/20084 +f 18956/20087 18958/20088 18957/20089 18955/20090 +f 18957/20089 18960/20091 18959/20092 18955/20090 +f 18960/20091 18962/20093 18961/20094 18959/20092 +f 18962/20093 18964/20095 18963/20096 18961/20094 +f 18964/20095 18966/20097 18965/20098 18963/20096 +f 18966/20097 18968/20099 18967/20100 18965/20098 +f 18968/20099 18970/20101 18969/20102 18967/20100 +f 18970/20101 18972/20103 18971/20104 18969/20102 +f 18974/20105 18976/20106 18975/20107 18973/20108 +f 18975/20107 18978/20109 18977/20110 18973/20108 +f 18978/20109 18980/20111 18979/20112 18977/20110 +f 18980/20111 18982/20113 18981/20114 18979/20112 +f 18982/20113 18984/20115 18983/20116 18981/20114 +f 18984/20115 18986/20117 18985/20118 18983/20116 +f 18986/20117 18988/19906 18987/20119 18985/20118 +f 18988/19906 18990/19908 18989/20120 18987/20119 +f 18990/19908 18992/20121 18991/20122 18989/20120 +f 18992/20121 18994/20123 18993/20124 18991/20122 +f 18994/20123 18996/20125 18995/20126 18993/20124 +f 18996/20125 18998/20127 18997/20128 18995/20126 +f 18998/20127 19000/20129 18999/20130 18997/20128 +f 19000/20129 19002/20131 19001/20132 18999/20130 +f 19002/20131 19004/20133 19003/20134 19001/20132 +f 19006/20135 19008/20136 19007/20137 19005/20138 +f 19007/20137 19010/20139 19009/20140 19005/20138 +f 19010/20139 19012/20141 19011/20142 19009/20140 +f 19012/20141 19014/20143 19013/20144 19011/20142 +f 19014/20143 19016/20145 19015/20146 19013/20144 +f 19016/20145 19018/20147 19017/20148 19015/20146 +f 19018/20147 19020/20149 19019/20150 19017/20148 +f 19020/20149 19022/20151 19021/20152 19019/20150 +f 19024/20153 19026/20154 19025/20155 19023/20156 +f 19025/20155 19028/20157 19027/20158 19023/20156 +f 19028/20157 19030/20159 19029/20160 19027/20158 +f 19030/20159 19032/20161 19031/20162 19029/20160 +f 19032/20161 19034/20163 19033/20164 19031/20162 +f 19034/20163 19036/20165 19035/20166 19033/20164 +f 19036/20165 19038/20167 19037/20168 19035/20166 +f 19038/20167 19040/20169 19039/20170 19037/20168 +f 19040/20169 19042/20171 19041/20172 19039/20170 +f 19042/20171 19044/20173 19043/20174 19041/20172 +f 19044/20173 19046/20175 19045/20176 19043/20174 +f 19046/20175 19048/20177 19047/20178 19045/20176 +f 19048/20177 19050/20179 19049/20180 19047/20178 +f 19050/20179 19052/20181 19051/20182 19049/20180 +f 19052/20181 19054/20183 19053/20184 19051/20182 +f 19056/20185 19058/20186 19057/20187 19055/20188 +f 19057/20187 19060/20189 19059/20190 19055/20188 +f 19060/20189 19062/20191 19061/20192 19059/20190 +f 19062/20191 19064/20193 19063/20194 19061/20192 +f 19064/20193 19066/20195 19065/20196 19063/20194 +f 19066/20195 19068/20197 19067/20198 19065/20196 +f 19068/20197 19070/20199 19069/20200 19067/20198 +f 19070/20199 19072/20201 19071/20202 19069/20200 +f 19072/20201 19074/20203 19073/20204 19071/20202 +f 19074/20203 19076/20205 19075/20206 19073/20204 +f 19076/20205 19078/20207 19077/20208 19075/20206 +f 19078/20207 19080/20209 19079/20210 19077/20208 +f 19080/20209 19082/20211 19081/20212 19079/20210 +f 19082/20211 19084/20213 19083/20214 19081/20212 +f 19084/20213 19086/20215 19085/20216 19083/20214 +f 19088/20217 19090/20218 19089/20219 19087/20220 +f 19089/20219 19092/20221 19091/20222 19087/20220 +f 19092/20221 19094/20223 19093/20224 19091/20222 +f 19094/20223 19096/20225 19095/20226 19093/20224 +f 19096/20225 19098/20227 19097/20228 19095/20226 +f 19098/20227 19100/20229 19099/20230 19097/20228 +f 19100/20229 19102/20231 19101/20232 19099/20230 +f 19102/20231 19104/20233 19103/20234 19101/20232 +f 19104/20233 19106/20235 19105/20023 19103/20234 +f 19106/20235 19108/20236 19107/20237 19105/20023 +f 19108/20236 19110/20238 19109/20239 19107/20237 +f 19110/20238 19112/20240 19111/20241 19109/20239 +f 19112/20240 19114/20242 19113/20243 19111/20241 +f 19114/20242 19116/20244 19115/20245 19113/20243 +f 19116/20244 19118/20246 19117/20247 19115/20245 +f 19120/20248 19122/20249 19121/20250 19119/20251 +f 19121/20250 19124/20252 19123/20253 19119/20251 +f 19124/20252 19126/20254 19125/20255 19123/20253 +f 19126/20254 19128/20256 19127/20257 19125/20255 +f 19128/20256 19130/20258 19129/20259 19127/20257 +f 19130/20258 19132/20260 19131/20261 19129/20259 +f 19132/20260 19134/20262 19133/20263 19131/20261 +f 19134/20262 19136/20264 19135/20265 19133/20263 +f 19136/20264 19138/20266 19137/20267 19135/20265 +f 19138/20266 19140/20268 19139/20269 19137/20267 +f 19140/20268 19142/20270 19141/20271 19139/20269 +f 19142/20270 19144/20272 19143/20273 19141/20271 +f 19144/20272 19146/20274 19145/20275 19143/20273 +f 19146/20274 19148/20276 19147/20277 19145/20275 +f 19148/20276 19150/20278 19149/20279 19147/20277 +g helper-l-eye +f 14662/20280 14653/20281 14644/20282 14635/20283 +f 14599/20284 14662/20280 14635/20283 14626/20285 +f 14608/20286 14599/20284 14626/20285 14617/20287 +f 14599/20284 14608/20286 14609/20288 14600/20289 +f 14662/20280 14599/20284 14600/20289 14663/20290 +f 14654/20291 14653/20281 14662/20280 14663/20290 +f 14645/20292 14644/20282 14653/20281 14654/20291 +f 14636/20293 14635/20283 14644/20282 14645/20292 +f 14627/20294 14626/20285 14635/20283 14636/20293 +f 14615/20295 14624/20296 14625/20297 14616/20298 +f 14621/20299 14612/20300 14611/20301 14620/20302 +f 14622/20303 14613/20304 14612/20305 14621/20306 +f 14656/20307 14655/20308 14664/20309 14665/20310 +f 14655/20308 14654/20291 14663/20290 14664/20309 +f 14651/20311 14642/20312 14641/20313 14650/20314 +f 14650/20314 14641/20313 14640/20315 14649/20316 +f 14608/20286 14617/20287 14618/20317 14609/20288 +f 14617/20287 14626/20285 14627/20294 14618/20317 +f 14649/20316 14640/20315 14639/20318 14648/20319 +f 14638/20320 14647/20321 14648/20322 14639/20323 +f 14600/20289 14601/20324 14664/20309 14663/20290 +f 14601/20324 14602/20325 14665/20310 14664/20309 +f 14623/20326 14614/20327 14613/20304 14622/20303 +f 14624/20296 14615/20295 14614/20327 14623/20326 +f 14624/20296 14633/20328 14634/20329 14625/20297 +f 14637/20330 14646/20331 14647/20321 14638/20320 +f 14646/20331 14637/20330 14636/20293 14645/20292 +f 14665/20310 14602/20325 14603/20332 14666/20333 +f 14666/20334 14603/20335 14604/20336 14667/20337 +f 14623/20326 14632/20338 14633/20328 14624/20296 +f 14622/20303 14631/20339 14632/20338 14623/20326 +f 14606/20340 14615/20295 14616/20298 14607/20341 +f 14655/20308 14646/20331 14645/20292 14654/20291 +f 14646/20331 14655/20308 14656/20307 14647/20321 +f 14667/20337 14604/20336 14605/20342 14668/20343 +f 14668/20343 14605/20342 14606/20340 14669/20344 +f 14621/20306 14630/20345 14631/20339 14622/20303 +f 14621/20299 14620/20302 14629/20346 14630/20347 +f 14669/20344 14606/20340 14607/20341 14670/20348 +f 14647/20321 14656/20307 14657/20349 14648/20322 +f 14658/20350 14649/20316 14648/20319 14657/20351 +f 14615/20295 14606/20340 14605/20342 14614/20327 +f 14614/20327 14605/20342 14604/20336 14613/20304 +f 14620/20302 14619/20352 14628/20353 14629/20346 +f 14619/20352 14618/20317 14627/20294 14628/20353 +f 14660/20354 14669/20344 14670/20348 14661/20355 +f 14651/20311 14660/20354 14661/20355 14652/20356 +f 14642/20312 14651/20311 14652/20356 14643/20357 +f 14633/20328 14642/20312 14643/20357 14634/20329 +f 14607/20341 14616/20298 14625/20297 14634/20329 +f 14607/20341 14634/20329 14643/20357 14670/20348 +f 14652/20356 14661/20355 14670/20348 14643/20357 +f 14628/20353 14627/20294 14636/20293 14637/20330 +f 14629/20346 14628/20353 14637/20330 14638/20320 +f 14629/20346 14638/20320 14639/20323 14630/20347 +f 14640/20315 14631/20339 14630/20345 14639/20318 +f 14641/20313 14632/20338 14631/20339 14640/20315 +f 14633/20328 14632/20338 14641/20313 14642/20312 +f 14613/20304 14604/20336 14603/20335 14612/20305 +f 14612/20300 14603/20332 14602/20325 14611/20301 +f 14611/20301 14602/20325 14601/20324 14610/20358 +f 14610/20358 14601/20324 14600/20289 14609/20288 +f 14659/20359 14650/20314 14649/20316 14658/20350 +f 14660/20354 14651/20311 14650/20314 14659/20359 +f 14619/20352 14610/20358 14609/20288 14618/20317 +f 14659/20359 14668/20343 14669/20344 14660/20354 +f 14658/20350 14667/20337 14668/20343 14659/20359 +f 14620/20302 14611/20301 14610/20358 14619/20352 +f 14657/20351 14666/20334 14667/20337 14658/20350 +f 14656/20307 14665/20310 14666/20333 14657/20349 +g helper-r-eye +f 14734/20360 14707/20361 14716/20362 14725/20363 +f 14671/20364 14698/20365 14707/20361 14734/20360 +f 14680/20366 14689/20367 14698/20365 14671/20364 +f 14671/20364 14672/20368 14681/20369 14680/20366 +f 14734/20360 14735/20370 14672/20368 14671/20364 +f 14726/20371 14735/20370 14734/20360 14725/20363 +f 14717/20372 14726/20371 14725/20363 14716/20362 +f 14708/20373 14717/20372 14716/20362 14707/20361 +f 14699/20374 14708/20373 14707/20361 14698/20365 +f 14687/20375 14688/20376 14697/20377 14696/20378 +f 14693/20379 14692/20380 14683/20381 14684/20382 +f 14694/20383 14693/20384 14684/20385 14685/20386 +f 14728/20387 14737/20388 14736/20389 14727/20390 +f 14727/20390 14736/20389 14735/20370 14726/20371 +f 14723/20391 14722/20392 14713/20393 14714/20394 +f 14722/20392 14721/20395 14712/20396 14713/20393 +f 14680/20366 14681/20369 14690/20397 14689/20367 +f 14689/20367 14690/20397 14699/20374 14698/20365 +f 14721/20395 14720/20398 14711/20399 14712/20396 +f 14710/20400 14711/20401 14720/20402 14719/20403 +f 14672/20368 14735/20370 14736/20389 14673/20404 +f 14673/20404 14736/20389 14737/20388 14674/20405 +f 14695/20406 14694/20383 14685/20386 14686/20407 +f 14696/20378 14695/20406 14686/20407 14687/20375 +f 14696/20378 14697/20377 14706/20408 14705/20409 +f 14709/20410 14710/20400 14719/20403 14718/20411 +f 14718/20411 14717/20372 14708/20373 14709/20410 +f 14737/20388 14738/20412 14675/20413 14674/20405 +f 14738/20414 14739/20415 14676/20416 14675/20417 +f 14695/20406 14696/20378 14705/20409 14704/20418 +f 14694/20383 14695/20406 14704/20418 14703/20419 +f 14678/20420 14679/20421 14688/20376 14687/20375 +f 14727/20390 14726/20371 14717/20372 14718/20411 +f 14718/20411 14719/20403 14728/20387 14727/20390 +f 14739/20415 14740/20422 14677/20423 14676/20416 +f 14740/20422 14741/20424 14678/20420 14677/20423 +f 14693/20384 14694/20383 14703/20419 14702/20425 +f 14693/20379 14702/20426 14701/20427 14692/20380 +f 14741/20424 14742/20428 14679/20421 14678/20420 +f 14719/20403 14720/20402 14729/20429 14728/20387 +f 14730/20430 14729/20431 14720/20398 14721/20395 +f 14687/20375 14686/20407 14677/20423 14678/20420 +f 14686/20407 14685/20386 14676/20416 14677/20423 +f 14692/20380 14701/20427 14700/20432 14691/20433 +f 14691/20433 14700/20432 14699/20374 14690/20397 +f 14732/20434 14733/20435 14742/20428 14741/20424 +f 14723/20391 14724/20436 14733/20435 14732/20434 +f 14714/20394 14715/20437 14724/20436 14723/20391 +f 14705/20409 14706/20408 14715/20437 14714/20394 +f 14679/20421 14706/20408 14697/20377 14688/20376 +f 14679/20421 14742/20428 14715/20437 14706/20408 +f 14724/20436 14715/20437 14742/20428 14733/20435 +f 14700/20432 14709/20410 14708/20373 14699/20374 +f 14701/20427 14710/20400 14709/20410 14700/20432 +f 14701/20427 14702/20426 14711/20401 14710/20400 +f 14712/20396 14711/20399 14702/20425 14703/20419 +f 14713/20393 14712/20396 14703/20419 14704/20418 +f 14705/20409 14714/20394 14713/20393 14704/20418 +f 14685/20386 14684/20385 14675/20417 14676/20416 +f 14684/20382 14683/20381 14674/20405 14675/20413 +f 14683/20381 14682/20438 14673/20404 14674/20405 +f 14682/20438 14681/20369 14672/20368 14673/20404 +f 14731/20439 14730/20430 14721/20395 14722/20392 +f 14732/20434 14731/20439 14722/20392 14723/20391 +f 14691/20433 14690/20397 14681/20369 14682/20438 +f 14731/20439 14732/20434 14741/20424 14740/20422 +f 14730/20430 14731/20439 14740/20422 14739/20415 +f 14692/20380 14691/20433 14682/20438 14683/20381 +f 14729/20431 14730/20430 14739/20415 14738/20414 +f 14728/20387 14729/20429 14738/20412 14737/20388 +g helper-genital +f 15180/20440 15149/20441 15133/20442 15154/20443 +f 15181/20444 15156/20445 15136/20446 15157/20447 +f 15182/20448 15159/20449 15139/20450 15160/20451 +f 15183/20452 15162/20453 15138/20454 15161/20455 +f 15186/20456 15169/20457 15143/20458 15166/20459 +f 15187/20460 15157/20461 15136/20462 15171/20463 +f 15188/20464 15174/20465 15147/20466 15173/20467 +f 15189/20468 15175/20469 15146/20470 15176/20471 +f 15152/20472 15179/20473 15150/20474 15129/20475 +f 15241/20476 15252/20477 15179/20473 15152/20472 +f 15252/20477 15240/20478 15153/20479 15179/20473 +f 15148/20480 15180/20440 15154/20443 15132/20481 +f 15130/20482 15151/20483 15180/20440 15148/20480 +f 15151/20483 15131/20484 15149/20441 15180/20440 +f 15196/20485 15178/20486 15134/20487 15228/20488 +f 15218/20489 15178/20486 15196/20485 15222/20490 +f 15251/20491 15253/20492 15156/20445 15181/20444 +f 15158/20493 15182/20448 15160/20451 15137/20494 +f 15242/20495 15229/20496 15182/20448 15158/20493 +f 15229/20496 15243/20497 15159/20449 15182/20448 +f 15163/20498 15183/20452 15161/20455 15135/20499 +f 15133/20442 15149/20441 15183/20452 15163/20498 +f 15149/20441 15131/20484 15162/20453 15183/20452 +f 15262/20500 15184/20501 15153/20479 15240/20478 +f 15239/20502 15155/20503 15184/20501 15262/20500 +f 15155/20503 15134/20504 15164/20505 15184/20501 +f 15219/20506 15185/20507 15170/20508 15216/20509 +f 15215/20510 15168/20511 15185/20507 15219/20506 +f 15168/20511 15129/20512 15150/20513 15185/20507 +f 15167/20514 15186/20456 15166/20459 15141/20515 +f 15140/20516 15165/20517 15186/20456 15167/20514 +f 15165/20517 15142/20518 15169/20457 15186/20456 +f 15220/20519 15187/20460 15171/20463 15217/20520 +f 15220/20519 15172/20521 15195/20522 15223/20523 +f 15155/20524 15193/20525 15228/20526 15134/20527 +f 15236/20528 15188/20464 15173/20467 15254/20529 +f 15244/20530 15172/20521 15188/20464 15236/20528 +f 15172/20521 15145/20531 15174/20465 15188/20464 +f 15166/20459 15189/20468 15176/20471 15141/20515 +f 15143/20458 15177/20532 15189/20468 15166/20459 +f 15177/20532 15144/20533 15175/20469 15189/20468 +f 15178/20534 15190/20535 15164/20536 15134/20537 +f 15218/20538 15221/20539 15190/20535 15178/20534 +f 15221/20539 15216/20509 15170/20508 15190/20535 +f 15197/20540 15181/20444 15157/20447 15257/20541 +f 15312/20542 15304/20543 15204/20544 15224/20545 +f 15242/20495 15158/20493 15194/20546 15237/20547 +f 15244/20530 15144/20548 15192/20549 15238/20550 +f 15257/20551 15157/20461 15187/20460 15198/20552 +f 15263/20553 15246/20554 15258/20555 15205/20556 +f 15239/20557 15135/20558 15191/20559 15261/20560 +f 15251/20491 15181/20444 15197/20540 15260/20561 +f 15225/20562 15203/20563 15211/20564 15227/20565 +f 15249/20566 15205/20556 15213/20567 15247/20568 +f 15317/20569 15307/20570 15199/20571 15259/20572 +f 15246/20573 15263/20574 15206/20575 15233/20576 +f 15319/20577 15305/20578 15200/20579 15256/20580 +f 15318/20581 15309/20582 15205/20556 15249/20566 +f 15313/20583 15310/20584 15203/20563 15225/20562 +f 15316/20585 15311/20586 15202/20587 15255/20588 +f 15232/20589 15247/20568 15213/20567 15250/20590 +f 15231/20591 15230/20592 15214/20593 15227/20565 +f 15255/20588 15202/20587 15210/20594 15234/20595 +f 15224/20545 15204/20544 15212/20596 15226/20597 +f 15233/20576 15206/20575 15214/20593 15230/20592 +f 15259/20572 15199/20571 15207/20598 15248/20599 +f 15258/20555 15201/20600 15209/20601 15250/20590 +f 15256/20580 15200/20579 15208/20602 15235/20603 +f 15144/20548 15218/20489 15222/20490 15192/20549 +f 15169/20457 15219/20506 15216/20509 15143/20458 +f 15142/20518 15215/20510 15219/20506 15169/20457 +f 15172/20521 15220/20519 15217/20520 15145/20531 +f 15187/20460 15220/20519 15223/20523 15198/20552 +f 15144/20533 15177/20532 15221/20539 15218/20538 +f 15177/20532 15143/20458 15216/20509 15221/20539 +f 15305/20578 15312/20542 15224/20545 15200/20579 +f 15206/20575 15225/20562 15227/20565 15214/20593 +f 15306/20604 15313/20583 15225/20562 15206/20575 +f 15235/20603 15231/20591 15227/20565 15211/20564 +f 15200/20579 15224/20545 15226/20597 15208/20602 +f 15311/20586 15318/20581 15249/20566 15202/20587 +f 15158/20493 15251/20491 15260/20561 15194/20546 +f 15135/20558 15161/20605 15229/20496 15242/20495 +f 15161/20605 15138/20606 15243/20497 15229/20496 +f 15307/20570 15316/20585 15255/20588 15199/20571 +f 15204/20544 15233/20576 15230/20592 15212/20596 +f 15258/20555 15246/20554 15245/20607 15201/20600 +f 15248/20599 15232/20589 15250/20590 15209/20601 +f 15202/20587 15249/20566 15247/20568 15210/20594 +f 15155/20524 15239/20557 15261/20560 15193/20525 +f 15201/20600 15259/20572 15248/20599 15209/20601 +f 15135/20499 15239/20502 15262/20500 15163/20498 +f 15234/20595 15210/20594 15247/20568 15232/20589 +f 15207/20598 15234/20595 15232/20589 15248/20599 +f 15308/20608 15317/20569 15259/20572 15201/20600 +f 15163/20498 15262/20500 15240/20478 15133/20442 +f 15154/20443 15133/20442 15240/20478 15252/20477 +f 15246/20573 15233/20576 15204/20544 15245/20609 +f 15208/20602 15226/20597 15231/20591 15235/20603 +f 15315/20610 15263/20553 15205/20556 15309/20582 +f 15205/20556 15258/20555 15250/20590 15213/20567 +f 15158/20493 15137/20494 15253/20492 15251/20491 +f 15135/20558 15242/20495 15237/20547 15191/20559 +f 15132/20481 15154/20443 15252/20477 15241/20476 +f 15304/20543 15314/20611 15245/20609 15204/20544 +f 15314/20612 15308/20608 15201/20600 15245/20607 +f 15315/20613 15257/20551 15198/20552 15306/20604 +f 15144/20548 15244/20530 15236/20528 15175/20614 +f 15199/20571 15255/20588 15234/20595 15207/20598 +f 15226/20597 15212/20596 15230/20592 15231/20591 +f 15175/20614 15236/20528 15254/20529 15146/20615 +f 15203/20563 15256/20580 15235/20603 15211/20564 +f 15172/20521 15244/20530 15238/20550 15195/20522 +f 15310/20584 15319/20577 15256/20580 15203/20563 +f 15164/20536 15190/20535 15271/20616 15266/20617 +f 15170/20508 15185/20507 15270/20618 15267/20619 +f 15190/20535 15170/20508 15267/20619 15271/20616 +f 15185/20507 15150/20513 15264/20620 15270/20618 +f 15153/20479 15184/20501 15269/20621 15265/20622 +f 15150/20474 15179/20473 15268/20623 15264/20624 +f 15184/20501 15164/20505 15266/20625 15269/20621 +f 15179/20473 15153/20479 15265/20622 15268/20623 +f 15270/20618 15264/20620 15272/20626 15278/20627 +f 15268/20623 15265/20622 15273/20628 15276/20629 +f 15267/20619 15270/20618 15278/20627 15275/20630 +f 15271/20616 15267/20619 15275/20630 15279/20631 +f 15264/20624 15268/20623 15276/20629 15272/20632 +f 15269/20621 15266/20625 15274/20633 15277/20634 +f 15266/20617 15271/20616 15279/20631 15274/20635 +f 15265/20622 15269/20621 15277/20634 15273/20628 +f 15274/20635 15279/20631 15287/20636 15282/20637 +f 15273/20628 15277/20634 15285/20638 15281/20639 +f 15278/20627 15272/20626 15280/20640 15286/20641 +f 15276/20629 15273/20628 15281/20639 15284/20642 +f 15275/20630 15278/20627 15286/20641 15283/20643 +f 15279/20631 15275/20630 15283/20643 15287/20636 +f 15272/20632 15276/20629 15284/20642 15280/20644 +f 15277/20634 15274/20633 15282/20645 15285/20638 +f 15322/20646 15321/20647 15291/20648 15295/20649 +f 15324/20650 15323/20651 15292/20652 15288/20653 +f 15326/20654 15325/20655 15290/20656 15293/20657 +f 15325/20658 15322/20646 15295/20649 15290/20659 +f 15327/20660 15326/20654 15293/20657 15289/20661 +f 15328/20662 15324/20663 15288/20664 15294/20665 +f 15323/20651 15327/20660 15289/20661 15292/20652 +f 15321/20647 15328/20662 15294/20665 15291/20648 +f 15292/20652 15289/20661 15297/20666 15300/20667 +f 15291/20648 15294/20665 15302/20668 15299/20669 +f 15295/20649 15291/20648 15299/20669 15303/20670 +f 15288/20653 15292/20652 15300/20667 15296/20671 +f 15293/20657 15290/20656 15298/20672 15301/20673 +f 15290/20659 15295/20649 15303/20670 15298/20674 +f 15289/20661 15293/20657 15301/20673 15297/20666 +f 15294/20665 15288/20664 15296/20675 15302/20668 +f 15222/20490 15196/20485 15304/20543 15312/20542 +f 15261/20560 15191/20559 15307/20570 15317/20569 +f 15238/20550 15192/20549 15305/20578 15319/20577 +f 15260/20561 15197/20540 15309/20582 15318/20581 +f 15223/20523 15195/20522 15310/20584 15313/20583 +f 15237/20547 15194/20546 15311/20586 15316/20585 +f 15192/20549 15222/20490 15312/20542 15305/20578 +f 15198/20552 15223/20523 15313/20583 15306/20604 +f 15194/20546 15260/20561 15318/20581 15311/20586 +f 15191/20559 15237/20547 15316/20585 15307/20570 +f 15193/20525 15261/20560 15317/20569 15308/20608 +f 15257/20541 15315/20610 15309/20582 15197/20540 +f 15196/20485 15228/20488 15314/20611 15304/20543 +f 15228/20526 15193/20525 15308/20608 15314/20612 +f 15263/20574 15315/20613 15306/20604 15206/20575 +f 15195/20522 15238/20550 15319/20577 15310/20584 +f 15302/20668 15296/20675 15320/20676 15299/20669 +f 15300/20667 15297/20666 15320/20677 15296/20671 +f 15303/20670 15299/20669 15320/20676 15298/20674 +f 15301/20673 15298/20672 15320/20677 15297/20666 +f 15287/20636 15283/20643 15321/20647 15322/20678 +f 15280/20644 15284/20642 15323/20651 15324/20650 +f 15285/20638 15282/20645 15325/20679 15326/20680 +f 15282/20637 15287/20636 15322/20678 15325/20681 +f 15281/20639 15285/20638 15326/20680 15327/20660 +f 15286/20641 15280/20640 15324/20663 15328/20662 +f 15284/20642 15281/20639 15327/20660 15323/20651 +f 15283/20643 15286/20641 15328/20662 15321/20647 +g helper-upper-teeth +f 15080/20682 15076/20683 15061/20684 15062/20685 +f 15076/20683 15087/20686 15072/20687 15075/20688 +f 15075/20688 15072/20687 15071/20689 15074/20690 +f 15074/20690 15071/20689 15086/20691 15073/20692 +f 15073/20692 15086/20691 15079/20693 15085/20694 +f 15085/20694 15079/20693 15078/20695 15084/20696 +f 15084/20696 15078/20695 15077/20697 15083/20698 +f 15083/20698 15077/20697 15081/20699 15082/20700 +f 15070/20701 15087/20686 15076/20683 15080/20682 +f 15063/20702 15075/20688 15074/20690 15064/20703 +f 15065/20704 15073/20692 15085/20694 15066/20705 +f 15061/20684 15076/20683 15075/20688 15063/20702 +f 15067/20706 15084/20696 15083/20698 15068/20707 +f 15064/20703 15074/20690 15073/20692 15065/20704 +f 15066/20705 15085/20694 15084/20696 15067/20706 +f 15068/20707 15083/20698 15082/20700 15069/20708 +f 15087/20686 15070/20701 15088/20709 15096/20710 +f 15086/20691 15071/20689 15089/20711 15095/20712 +f 15081/20699 15077/20697 15091/20713 15094/20714 +f 15071/20689 15072/20687 15090/20715 15089/20711 +f 15079/20693 15086/20691 15095/20712 15093/20716 +f 15078/20695 15079/20693 15093/20716 15092/20717 +f 15077/20697 15078/20695 15092/20717 15091/20713 +f 15072/20687 15087/20686 15096/20710 15090/20715 +f 15110/20718 15109/20719 15106/20720 15120/20721 +f 15109/20719 15108/20722 15105/20723 15106/20720 +f 15108/20722 15107/20724 15119/20725 15105/20723 +f 15107/20724 15118/20726 15113/20727 15119/20725 +f 15118/20726 15117/20728 15112/20729 15113/20727 +f 15117/20728 15116/20730 15111/20731 15112/20729 +f 15116/20730 15115/20732 15114/20733 15111/20731 +f 15098/20734 15099/20735 15108/20722 15109/20719 +f 15100/20736 15101/20737 15118/20726 15107/20724 +f 15097/20738 15098/20734 15109/20719 15110/20718 +f 15102/20739 15103/20740 15116/20730 15117/20728 +f 15099/20735 15100/20736 15107/20724 15108/20722 +f 15101/20737 15102/20739 15117/20728 15118/20726 +f 15103/20740 15104/20741 15115/20732 15116/20730 +f 15119/20725 15127/20742 15121/20743 15105/20723 +f 15114/20733 15126/20744 15123/20745 15111/20731 +f 15105/20723 15121/20743 15122/20746 15106/20720 +f 15113/20727 15125/20747 15127/20742 15119/20725 +f 15112/20729 15124/20748 15125/20747 15113/20727 +f 15111/20731 15123/20745 15124/20748 15112/20729 +f 15106/20720 15122/20746 15128/20749 15120/20721 +f 15120/20721 15128/20749 15088/20709 15070/20701 +f 15070/20701 15080/20682 15110/20718 15120/20721 +f 15080/20682 15062/20685 15097/20738 15110/20718 +g helper-lower-teeth +f 15014/20750 14993/20751 14995/20752 15015/20753 +f 15015/20753 14995/20752 14996/20754 15016/20755 +f 15016/20755 14996/20754 14997/20756 15012/20757 +f 15012/20757 14997/20756 14998/20758 15017/20759 +f 15017/20759 14998/20758 14999/20760 15018/20761 +f 15018/20761 14999/20760 15000/20762 15019/20763 +f 15019/20763 15000/20762 15001/20764 15010/20765 +f 15013/20766 15014/20750 15002/20767 15011/20768 +f 15004/20769 15016/20755 15012/20757 15005/20770 +f 15002/20767 15014/20750 15015/20753 15003/20771 +f 14994/20772 14993/20751 15014/20750 15013/20766 +f 15007/20773 15018/20761 15019/20763 15008/20774 +f 15006/20775 15017/20759 15018/20761 15007/20773 +f 15003/20771 15015/20753 15016/20755 15004/20769 +f 15008/20774 15019/20763 15010/20765 15009/20776 +f 15005/20770 15012/20757 15017/20759 15006/20775 +f 15005/20770 15006/20775 15024/20777 15023/20778 +f 15008/20774 15009/20776 15027/20779 15026/20780 +f 15004/20769 15005/20770 15023/20778 15022/20781 +f 15007/20773 15008/20774 15026/20780 15025/20782 +f 15011/20768 15002/20767 15020/20783 15028/20784 +f 15003/20771 15004/20769 15022/20781 15021/20785 +f 15006/20775 15007/20773 15025/20782 15024/20777 +f 15002/20767 15003/20771 15021/20785 15020/20783 +f 15047/20786 15048/20787 15030/20788 15029/20789 +f 15048/20787 15049/20790 15031/20791 15030/20788 +f 15049/20790 15046/20792 15032/20793 15031/20791 +f 15046/20792 15050/20794 15033/20795 15032/20793 +f 15050/20794 15051/20796 15034/20797 15033/20795 +f 15051/20796 15052/20798 15035/20799 15034/20797 +f 15052/20798 15045/20800 15036/20801 15035/20799 +f 15013/20766 15011/20768 15037/20802 15047/20786 +f 15039/20803 15040/20804 15046/20792 15049/20790 +f 15011/20768 15028/20784 15053/20805 15037/20802 +f 15037/20802 15038/20806 15048/20787 15047/20786 +f 15042/20807 15043/20808 15052/20798 15051/20796 +f 15041/20809 15042/20807 15051/20796 15050/20794 +f 15038/20806 15039/20803 15049/20790 15048/20787 +f 15043/20808 15044/20810 15045/20800 15052/20798 +f 15040/20804 15041/20809 15050/20794 15046/20792 +f 14994/20772 15013/20766 15047/20786 15029/20789 +f 15040/20804 15056/20811 15057/20812 15041/20809 +f 15043/20808 15059/20813 15060/20814 15044/20810 +f 15039/20803 15055/20815 15056/20811 15040/20804 +f 15042/20807 15058/20816 15059/20813 15043/20808 +f 15038/20806 15054/20817 15055/20815 15039/20803 +f 15041/20809 15057/20812 15058/20816 15042/20807 +f 15037/20802 15053/20805 15054/20817 15038/20806 +g helper-l-eyelashes-2 +f 14743/20818 14796/20819 14795/20820 14744/20821 +f 14788/20822 14787/20823 14798/20824 14799/20825 +g helper-l-eyelashes-1 +f 14766/20826 14771/20827 14777/20828 14760/20829 +g helper-l-eyelashes-2 +f 14761/20830 14744/20821 14795/20820 14776/20831 +g helper-l-eyelashes-1 +f 14754/20832 14755/20833 14782/20834 14783/20835 +f 14794/20836 14768/20837 14778/20838 14759/20839 +g helper-l-eyelashes-2 +f 14748/20840 14749/20841 14788/20822 14789/20842 +f 14767/20843 14763/20844 14774/20845 14770/20846 +g helper-l-eyelashes-1 +f 14756/20847 14781/20848 14782/20834 14755/20833 +f 14757/20849 14758/20850 14779/20851 14780/20852 +g helper-l-eyelashes-2 +f 14749/20841 14750/20853 14787/20823 14788/20822 +f 14743/20818 14745/20854 14792/20855 14796/20819 +f 14762/20856 14761/20830 14776/20831 14775/20857 +g helper-l-eyelashes-1 +f 14757/20849 14780/20852 14781/20848 14756/20847 +f 14758/20850 14759/20839 14778/20838 14779/20851 +g helper-l-eyelashes-2 +f 14792/20855 14791/20858 14802/20859 14803/20860 +f 14745/20854 14746/20861 14791/20858 14792/20855 +f 14767/20843 14770/20846 14773/20862 14764/20863 +f 14770/20846 14774/20845 14772/20864 14786/20865 +g helper-l-eyelashes-1 +f 14794/20836 14760/20829 14777/20828 14768/20837 +g helper-l-eyelashes-2 +f 14791/20858 14790/20866 14801/20867 14802/20859 +f 14746/20861 14747/20868 14790/20866 14791/20858 +g helper-l-eyelashes-1 +f 14753/20869 14754/20832 14783/20835 14784/20870 +g helper-l-eyelashes-2 +f 14763/20844 14762/20856 14775/20857 14774/20845 +g helper-l-eyelashes-1 +f 14793/20871 14753/20869 14784/20870 14769/20872 +f 14793/20871 14769/20872 14785/20873 14752/20874 +g helper-l-eyelashes-2 +f 14747/20868 14748/20840 14789/20842 14790/20866 +f 14774/20845 14775/20857 14765/20875 14772/20864 +f 14796/20819 14792/20855 14803/20860 14805/20876 +f 14789/20842 14788/20822 14799/20825 14800/20877 +f 14775/20857 14776/20831 14797/20878 14765/20875 +f 14770/20846 14786/20865 14751/20879 14773/20862 +f 14796/20819 14805/20876 14804/20880 14795/20820 +f 14790/20866 14789/20842 14800/20877 14801/20867 +f 14776/20831 14795/20820 14804/20880 14797/20878 +f 14853/20881 14809/20882 14806/20883 14854/20884 +f 14851/20885 14852/20886 14812/20887 14813/20888 +f 14849/20889 14850/20890 14816/20891 14818/20892 +f 14852/20886 14848/20893 14811/20894 14812/20887 +f 14849/20889 14818/20892 14817/20895 14847/20896 +f 14846/20897 14851/20885 14813/20888 14814/20898 +f 14850/20890 14845/20899 14815/20900 14816/20891 +f 14843/20901 14844/20902 14807/20903 14808/20904 +f 14845/20899 14846/20897 14814/20898 14815/20900 +f 14855/20905 14847/20896 14817/20895 14810/20906 +f 14853/20881 14843/20901 14808/20904 14809/20882 +f 14844/20902 14855/20905 14810/20906 14807/20903 +g helper-l-eyelashes-1 +f 14768/20837 14777/20828 14822/20907 14819/20908 +f 14781/20848 14826/20909 14827/20910 14782/20834 +f 14779/20851 14778/20838 14823/20911 14824/20912 +f 14768/20837 14819/20908 14823/20911 14778/20838 +f 14780/20852 14779/20851 14824/20912 14825/20913 +f 14769/20872 14820/20914 14830/20915 14785/20873 +f 14783/20835 14782/20834 14827/20910 14828/20916 +f 14784/20870 14783/20835 14828/20916 14829/20917 +f 14769/20872 14784/20870 14829/20917 14820/20914 +f 14771/20827 14821/20918 14822/20907 14777/20828 +f 14780/20852 14825/20913 14826/20909 14781/20848 +f 14858/20919 14859/20920 14836/20921 14837/20922 +f 14856/20923 14831/20924 14835/20925 14857/20926 +f 14866/20927 14867/20928 14839/20929 14840/20930 +f 14864/20931 14832/20932 14842/20933 14865/20934 +f 14864/20931 14863/20935 14841/20936 14832/20932 +f 14863/20935 14866/20927 14840/20930 14841/20936 +f 14862/20937 14833/20938 14834/20939 14861/20940 +f 14856/20923 14861/20940 14834/20939 14831/20924 +f 14858/20919 14837/20922 14838/20941 14860/20942 +f 14859/20920 14857/20926 14835/20925 14836/20921 +f 14860/20942 14838/20941 14839/20929 14867/20928 +g helper-l-eyelashes-2 +f 14786/20865 14772/20864 14843/20901 14853/20881 +f 14797/20878 14804/20880 14847/20896 14855/20905 +f 14802/20859 14801/20867 14846/20897 14845/20899 +f 14772/20864 14765/20875 14844/20902 14843/20901 +f 14803/20860 14802/20859 14845/20899 14850/20890 +f 14801/20867 14800/20877 14851/20885 14846/20897 +f 14805/20876 14849/20889 14847/20896 14804/20880 +f 14799/20825 14798/20824 14848/20893 14852/20886 +f 14805/20876 14803/20860 14850/20890 14849/20889 +f 14800/20877 14799/20825 14852/20886 14851/20885 +f 14786/20865 14853/20881 14854/20884 14751/20879 +f 14765/20875 14797/20878 14855/20905 14844/20902 +g helper-l-eyelashes-1 +f 14820/20914 14829/20917 14863/20935 14864/20931 +f 14825/20913 14824/20912 14859/20920 14858/20919 +f 14820/20914 14864/20931 14865/20934 14830/20915 +f 14825/20913 14858/20919 14860/20942 14826/20909 +f 14828/20916 14827/20910 14867/20928 14866/20927 +f 14819/20908 14856/20923 14857/20926 14823/20911 +f 14821/20918 14862/20937 14861/20940 14822/20907 +f 14824/20912 14823/20911 14857/20926 14859/20920 +f 14819/20908 14822/20907 14861/20940 14856/20923 +f 14829/20917 14828/20916 14866/20927 14863/20935 +f 14826/20909 14860/20942 14867/20928 14827/20910 +g helper-r-eyelashes-2 +f 14868/20943 14869/20944 14920/20945 14921/20946 +f 14913/20947 14924/20948 14923/20949 14912/20950 +g helper-r-eyelashes-1 +f 14891/20951 14885/20952 14902/20953 14896/20954 +g helper-r-eyelashes-2 +f 14886/20955 14901/20956 14920/20945 14869/20944 +g helper-r-eyelashes-1 +f 14879/20957 14908/20958 14907/20959 14880/20960 +f 14919/20961 14884/20962 14903/20963 14893/20964 +g helper-r-eyelashes-2 +f 14873/20965 14914/20966 14913/20947 14874/20967 +f 14892/20968 14895/20969 14899/20970 14888/20971 +g helper-r-eyelashes-1 +f 14881/20972 14880/20960 14907/20959 14906/20973 +f 14882/20974 14905/20975 14904/20976 14883/20977 +g helper-r-eyelashes-2 +f 14874/20967 14913/20947 14912/20950 14875/20978 +f 14868/20943 14921/20946 14917/20979 14870/20980 +f 14887/20981 14900/20982 14901/20956 14886/20955 +g helper-r-eyelashes-1 +f 14882/20974 14881/20972 14906/20973 14905/20975 +f 14883/20977 14904/20976 14903/20963 14884/20962 +g helper-r-eyelashes-2 +f 14917/20979 14928/20983 14927/20984 14916/20985 +f 14870/20980 14917/20979 14916/20985 14871/20986 +f 14892/20968 14889/20987 14898/20988 14895/20969 +f 14895/20969 14911/20989 14897/20990 14899/20970 +g helper-r-eyelashes-1 +f 14919/20961 14893/20964 14902/20953 14885/20952 +g helper-r-eyelashes-2 +f 14916/20985 14927/20984 14926/20991 14915/20992 +f 14871/20986 14916/20985 14915/20992 14872/20993 +g helper-r-eyelashes-1 +f 14878/20994 14909/20995 14908/20958 14879/20957 +g helper-r-eyelashes-2 +f 14888/20971 14899/20970 14900/20982 14887/20981 +g helper-r-eyelashes-1 +f 14918/20996 14894/20997 14909/20995 14878/20994 +f 14918/20996 14877/20998 14910/20999 14894/20997 +g helper-r-eyelashes-2 +f 14872/20993 14915/20992 14914/20966 14873/20965 +f 14899/20970 14897/20990 14890/21000 14900/20982 +f 14921/20946 14930/21001 14928/20983 14917/20979 +f 14914/20966 14925/21002 14924/20948 14913/20947 +f 14900/20982 14890/21000 14922/21003 14901/20956 +f 14895/20969 14898/20988 14876/21004 14911/20989 +f 14921/20946 14920/20945 14929/21005 14930/21001 +f 14915/20992 14926/20991 14925/21002 14914/20966 +f 14901/20956 14922/21003 14929/21005 14920/20945 +f 14978/21006 14979/21007 14931/21008 14934/21009 +f 14976/21010 14938/21011 14937/21012 14977/21013 +f 14974/21014 14943/21015 14941/21016 14975/21017 +f 14977/21013 14937/21012 14936/21018 14973/21019 +f 14974/21014 14972/21020 14942/21021 14943/21015 +f 14971/21022 14939/21023 14938/21011 14976/21010 +f 14975/21017 14941/21016 14940/21024 14970/21025 +f 14968/21026 14933/21027 14932/21028 14969/21029 +f 14970/21025 14940/21024 14939/21023 14971/21022 +f 14980/21030 14935/21031 14942/21021 14972/21020 +f 14978/21006 14934/21009 14933/21027 14968/21026 +f 14969/21029 14932/21028 14935/21031 14980/21030 +g helper-r-eyelashes-1 +f 14893/20964 14944/21032 14947/21033 14902/20953 +f 14906/20973 14907/20959 14952/21034 14951/21035 +f 14904/20976 14949/21036 14948/21037 14903/20963 +f 14893/20964 14903/20963 14948/21037 14944/21032 +f 14905/20975 14950/21038 14949/21036 14904/20976 +f 14894/20997 14910/20999 14955/21039 14945/21040 +f 14908/20958 14953/21041 14952/21034 14907/20959 +f 14909/20995 14954/21042 14953/21041 14908/20958 +f 14894/20997 14945/21040 14954/21042 14909/20995 +f 14896/20954 14902/20953 14947/21033 14946/21043 +f 14905/20975 14906/20973 14951/21035 14950/21038 +f 14983/21044 14962/21045 14961/21046 14984/21047 +f 14981/21048 14982/21049 14960/21050 14956/21051 +f 14991/21052 14965/21053 14964/21054 14992/21055 +f 14989/21056 14990/21057 14967/21058 14957/21059 +f 14989/21056 14957/21059 14966/21060 14988/21061 +f 14988/21061 14966/21060 14965/21053 14991/21052 +f 14987/21062 14986/21063 14959/21064 14958/21065 +f 14981/21048 14956/21051 14959/21064 14986/21063 +f 14983/21044 14985/21066 14963/21067 14962/21045 +f 14984/21047 14961/21046 14960/21050 14982/21049 +f 14985/21066 14992/21055 14964/21054 14963/21067 +g helper-r-eyelashes-2 +f 14911/20989 14978/21006 14968/21026 14897/20990 +f 14922/21003 14980/21030 14972/21020 14929/21005 +f 14927/20984 14970/21025 14971/21022 14926/20991 +f 14897/20990 14968/21026 14969/21029 14890/21000 +f 14928/20983 14975/21017 14970/21025 14927/20984 +f 14926/20991 14971/21022 14976/21010 14925/21002 +f 14930/21001 14929/21005 14972/21020 14974/21014 +f 14924/20948 14977/21013 14973/21019 14923/20949 +f 14930/21001 14974/21014 14975/21017 14928/20983 +f 14925/21002 14976/21010 14977/21013 14924/20948 +f 14911/20989 14876/21004 14979/21007 14978/21006 +f 14890/21000 14969/21029 14980/21030 14922/21003 +g helper-r-eyelashes-1 +f 14945/21040 14989/21056 14988/21061 14954/21042 +f 14950/21038 14983/21044 14984/21047 14949/21036 +f 14945/21040 14955/21039 14990/21057 14989/21056 +f 14950/21038 14951/21035 14985/21066 14983/21044 +f 14953/21041 14991/21052 14992/21055 14952/21034 +f 14944/21032 14948/21037 14982/21049 14981/21048 +f 14946/21043 14947/21033 14986/21063 14987/21062 +f 14949/21036 14984/21047 14982/21049 14948/21037 +f 14944/21032 14981/21048 14986/21063 14947/21033 +f 14954/21042 14988/21061 14991/21052 14953/21041 +f 14951/21035 14952/21034 14992/21055 14985/21066 +g helper-tongue +f 13438/21068 13427/21069 13428/21070 13437/21071 +f 13437/21071 13428/21070 13430/21072 13433/21073 +f 13433/21073 13430/21072 13429/21074 13432/21075 +f 13437/21071 13433/21073 13434/21076 13436/21077 +f 13431/21078 13434/21076 13433/21073 13432/21075 +f 13432/21075 13429/21074 13426/21079 13425/21080 +f 13435/21081 13438/21068 13437/21071 13436/21077 +f 13502/21082 13442/21083 13441/21084 13500/21085 +f 13501/21086 13440/21087 13439/21088 13495/21089 +f 13500/21085 13441/21084 13440/21087 13501/21086 +f 13497/21090 13503/21091 13394/21092 13400/21093 +f 13429/21074 13444/21094 13443/21095 13426/21079 +f 13431/21078 13432/21075 13425/21080 13424/21096 +f 13427/21097 13438/21098 13441/21084 13442/21083 +f 13442/21083 13446/21099 13445/21100 13427/21097 +f 13427/21069 13445/21101 13447/21102 13428/21070 +f 13428/21070 13447/21102 13448/21103 13430/21072 +f 13430/21072 13448/21103 13444/21094 13429/21074 +f 13502/21082 13504/21104 13446/21099 13442/21083 +f 13503/21091 13492/21105 13392/21106 13394/21092 +f 13444/21094 13450/21107 13449/21108 13443/21095 +f 13423/21109 13439/21088 13440/21087 13435/21110 +f 13446/21099 13452/21111 13451/21112 13445/21100 +f 13440/21087 13441/21084 13438/21098 13435/21110 +f 13445/21101 13451/21113 13453/21114 13447/21102 +f 13447/21102 13453/21114 13454/21115 13448/21103 +f 13448/21103 13454/21115 13450/21107 13444/21094 +f 13504/21104 13487/21116 13452/21111 13446/21099 +f 13492/21105 13491/21117 13390/21118 13392/21106 +f 13490/21119 13489/21120 13386/21121 13388/21122 +f 13486/21123 13488/21124 13464/21125 13458/21126 +f 13462/21127 13468/21128 13467/21129 13461/21130 +f 13464/21125 13470/21131 13469/21132 13463/21133 +f 13463/21134 13469/21135 13471/21136 13465/21137 +f 13465/21137 13471/21136 13472/21138 13466/21139 +f 13466/21139 13472/21138 13468/21128 13462/21127 +f 13488/21124 13485/21140 13470/21131 13464/21125 +f 13489/21120 13484/21141 13384/21142 13386/21121 +f 13468/21128 13474/21143 13473/21144 13467/21129 +f 13470/21131 13476/21145 13475/21146 13469/21132 +f 13454/21115 13460/21147 13456/21148 13450/21107 +f 13469/21135 13475/21149 13477/21150 13471/21136 +f 13471/21136 13477/21150 13478/21151 13472/21138 +f 13472/21138 13478/21151 13474/21143 13468/21128 +f 13485/21140 13481/21152 13476/21145 13470/21131 +f 13484/21141 13473/21144 13479/21153 13483/21154 +f 13483/21154 13479/21153 13480/21155 13482/21156 +f 13482/21156 13480/21155 13476/21157 13481/21158 +f 13473/21144 13474/21143 13478/21151 13479/21153 +f 13477/21150 13480/21155 13479/21153 13478/21151 +f 13475/21149 13476/21157 13480/21155 13477/21150 +f 13450/21107 13456/21148 13455/21159 13449/21108 +f 13453/21114 13459/21160 13460/21147 13454/21115 +f 13456/21148 13462/21127 13461/21130 13455/21159 +f 13460/21147 13466/21139 13462/21127 13456/21148 +f 13457/21161 13463/21134 13465/21137 13459/21160 +f 13451/21113 13457/21161 13459/21160 13453/21114 +f 13458/21126 13464/21125 13463/21133 13457/21162 +f 13491/21117 13490/21119 13388/21122 13390/21118 +f 13459/21160 13465/21137 13466/21139 13460/21147 +f 13452/21111 13458/21126 13457/21162 13451/21112 +f 13487/21116 13486/21123 13458/21126 13452/21111 +f 13499/21163 13497/21090 13400/21093 13399/21164 +f 13498/21165 13499/21163 13399/21164 13398/21166 +f 13496/21167 13498/21165 13398/21166 13397/21168 +f 13506/21169 13496/21167 13397/21168 13396/21170 +f 13495/21089 13494/21171 13406/21172 13405/21173 +f 13401/21174 13500/21085 13501/21086 13403/21175 +f 13407/21176 13412/21177 13417/21178 13418/21179 +f 13415/21180 13416/21181 13409/21182 13408/21183 +f 13418/21179 13415/21180 13408/21183 13407/21176 +f 13416/21181 13414/21184 13410/21185 13409/21182 +f 13413/21186 13417/21187 13412/21177 13411/21188 +f 13439/21088 13423/21109 13417/21187 13413/21186 +f 13421/21189 13422/21190 13414/21184 13416/21181 +f 13419/21191 13420/21192 13415/21180 13418/21179 +f 13420/21192 13421/21189 13416/21181 13415/21180 +f 13423/21193 13419/21191 13418/21179 13417/21178 +f 13435/21081 13436/21077 13419/21191 13423/21193 +f 13434/21076 13431/21078 13421/21189 13420/21192 +f 13436/21077 13434/21076 13420/21192 13419/21191 +f 13431/21078 13424/21096 13422/21190 13421/21189 +f 13402/21194 13502/21082 13500/21085 13401/21174 +f 13426/21079 13443/21095 13503/21091 13497/21090 +f 13402/21194 13393/21195 13504/21104 13502/21082 +f 13443/21095 13449/21108 13492/21105 13503/21091 +f 13393/21195 13391/21196 13487/21116 13504/21104 +f 13449/21108 13455/21159 13491/21117 13492/21105 +f 13461/21130 13467/21129 13489/21120 13490/21119 +f 13389/21197 13387/21198 13488/21124 13486/21123 +f 13387/21198 13385/21199 13485/21140 13488/21124 +f 13467/21129 13473/21144 13484/21141 13489/21120 +f 13385/21199 13383/21200 13481/21152 13485/21140 +f 13384/21142 13484/21141 13483/21154 13382/21201 +f 13382/21201 13483/21154 13482/21156 13381/21202 +f 13381/21202 13482/21156 13481/21158 13383/21203 +f 13455/21159 13461/21130 13490/21119 13491/21117 +f 13391/21196 13389/21197 13486/21123 13487/21116 +f 13425/21080 13426/21079 13497/21090 13499/21163 +f 13424/21096 13425/21080 13499/21163 13498/21165 +f 13422/21190 13424/21096 13498/21165 13496/21167 +f 13414/21184 13422/21190 13496/21167 13506/21169 +f 13439/21088 13413/21186 13494/21171 13495/21089 +f 13413/21186 13411/21188 13493/21204 13494/21171 +f 13410/21185 13414/21184 13506/21169 13505/21205 +f 13505/21205 13506/21169 13396/21170 13395/21206 +f 13494/21171 13493/21204 13404/21207 13406/21172 +f 13403/21175 13501/21086 13495/21089 13405/21173 +f 13538/21208 13537/21209 13528/21210 13527/21211 +f 13537/21209 13533/21212 13530/21213 13528/21210 +f 13533/21212 13532/21214 13529/21215 13530/21213 +f 13537/21209 13536/21216 13534/21217 13533/21212 +f 13531/21218 13532/21214 13533/21212 13534/21217 +f 13532/21214 13525/21219 13526/21220 13529/21215 +f 13535/21221 13536/21216 13537/21209 13538/21208 +f 13602/21222 13600/21223 13541/21224 13542/21225 +f 13601/21226 13595/21227 13539/21228 13540/21229 +f 13600/21223 13601/21226 13540/21229 13541/21224 +f 13597/21230 13400/21093 13394/21092 13603/21231 +f 13529/21215 13526/21220 13543/21232 13544/21233 +f 13531/21218 13524/21234 13525/21219 13532/21214 +f 13527/21235 13542/21225 13541/21224 13538/21236 +f 13542/21225 13527/21235 13545/21237 13546/21238 +f 13527/21211 13528/21210 13547/21239 13545/21240 +f 13528/21210 13530/21213 13548/21241 13547/21239 +f 13530/21213 13529/21215 13544/21233 13548/21241 +f 13602/21222 13542/21225 13546/21238 13604/21242 +f 13603/21231 13394/21092 13392/21106 13592/21243 +f 13544/21233 13543/21232 13549/21244 13550/21245 +f 13523/21246 13535/21247 13540/21229 13539/21228 +f 13546/21238 13545/21237 13551/21248 13552/21249 +f 13540/21229 13535/21247 13538/21236 13541/21224 +f 13545/21240 13547/21239 13553/21250 13551/21251 +f 13547/21239 13548/21241 13554/21252 13553/21250 +f 13548/21241 13544/21233 13550/21245 13554/21252 +f 13604/21242 13546/21238 13552/21249 13587/21253 +f 13592/21243 13392/21106 13390/21118 13591/21254 +f 13590/21255 13388/21122 13386/21121 13589/21256 +f 13586/21257 13558/21258 13564/21259 13588/21260 +f 13562/21261 13561/21262 13567/21263 13568/21264 +f 13564/21259 13563/21265 13569/21266 13570/21267 +f 13563/21268 13565/21269 13571/21270 13569/21271 +f 13565/21269 13566/21272 13572/21273 13571/21270 +f 13566/21272 13562/21261 13568/21264 13572/21273 +f 13588/21260 13564/21259 13570/21267 13585/21274 +f 13381/21202 13383/21203 13581/21275 13582/21276 +f 13568/21264 13567/21263 13573/21277 13574/21278 +f 13570/21267 13569/21266 13575/21279 13576/21280 +f 13554/21252 13550/21245 13556/21281 13560/21282 +f 13569/21271 13571/21270 13577/21283 13575/21284 +f 13571/21270 13572/21273 13578/21285 13577/21283 +f 13572/21273 13568/21264 13574/21278 13578/21285 +f 13585/21274 13570/21267 13576/21280 13581/21286 +f 13584/21287 13583/21288 13579/21289 13573/21277 +f 13583/21288 13582/21276 13580/21290 13579/21289 +f 13582/21276 13581/21275 13576/21291 13580/21290 +f 13573/21277 13579/21289 13578/21285 13574/21278 +f 13577/21283 13578/21285 13579/21289 13580/21290 +f 13575/21284 13577/21283 13580/21290 13576/21291 +f 13550/21245 13549/21244 13555/21292 13556/21281 +f 13553/21250 13554/21252 13560/21282 13559/21293 +f 13556/21281 13555/21292 13561/21262 13562/21261 +f 13560/21282 13556/21281 13562/21261 13566/21272 +f 13557/21294 13559/21293 13565/21269 13563/21268 +f 13551/21251 13553/21250 13559/21293 13557/21294 +f 13558/21258 13557/21295 13563/21265 13564/21259 +f 13591/21254 13390/21118 13388/21122 13590/21255 +f 13559/21293 13560/21282 13566/21272 13565/21269 +f 13552/21249 13551/21248 13557/21295 13558/21258 +f 13587/21253 13552/21249 13558/21258 13586/21257 +f 13598/21296 13398/21166 13399/21164 13599/21297 +f 13596/21298 13397/21168 13398/21166 13598/21296 +f 13606/21299 13396/21170 13397/21168 13596/21298 +f 13595/21227 13405/21173 13406/21172 13594/21300 +f 13401/21174 13403/21175 13601/21226 13600/21223 +f 13507/21301 13518/21302 13517/21303 13512/21304 +f 13515/21305 13508/21306 13509/21307 13516/21308 +f 13518/21302 13507/21301 13508/21306 13515/21305 +f 13516/21308 13509/21307 13510/21309 13514/21310 +f 13513/21311 13511/21312 13512/21304 13517/21313 +f 13539/21228 13513/21311 13517/21313 13523/21246 +f 13521/21314 13516/21308 13514/21310 13522/21315 +f 13519/21316 13518/21302 13515/21305 13520/21317 +f 13520/21317 13515/21305 13516/21308 13521/21314 +f 13523/21318 13517/21303 13518/21302 13519/21316 +f 13535/21221 13523/21318 13519/21316 13536/21216 +f 13534/21217 13520/21317 13521/21314 13531/21218 +f 13536/21216 13519/21316 13520/21317 13534/21217 +f 13531/21218 13521/21314 13522/21315 13524/21234 +f 13402/21194 13401/21174 13600/21223 13602/21222 +f 13526/21220 13597/21230 13603/21231 13543/21232 +f 13402/21194 13602/21222 13604/21242 13393/21195 +f 13543/21232 13603/21231 13592/21243 13549/21244 +f 13393/21195 13604/21242 13587/21253 13391/21196 +f 13549/21244 13592/21243 13591/21254 13555/21292 +f 13561/21262 13590/21255 13589/21256 13567/21263 +f 13389/21197 13586/21257 13588/21260 13387/21198 +f 13387/21198 13588/21260 13585/21274 13385/21199 +f 13567/21263 13589/21256 13584/21287 13573/21277 +f 13384/21142 13382/21201 13583/21288 13584/21287 +f 13382/21201 13381/21202 13582/21276 13583/21288 +f 13589/21256 13386/21121 13384/21142 13584/21287 +f 13555/21292 13591/21254 13590/21255 13561/21262 +f 13391/21196 13587/21253 13586/21257 13389/21197 +f 13525/21219 13599/21297 13597/21230 13526/21220 +f 13524/21234 13598/21296 13599/21297 13525/21219 +f 13522/21315 13596/21298 13598/21296 13524/21234 +f 13514/21310 13606/21299 13596/21298 13522/21315 +f 13539/21228 13595/21227 13594/21300 13513/21311 +f 13513/21311 13594/21300 13593/21319 13511/21312 +f 13510/21309 13605/21320 13606/21299 13514/21310 +f 13605/21320 13395/21206 13396/21170 13606/21299 +f 13594/21300 13406/21172 13404/21207 13593/21319 +f 13403/21175 13405/21173 13595/21227 13601/21226 +f 13599/21297 13399/21164 13400/21093 13597/21230 +f 13385/21199 13585/21274 13581/21286 13383/21200 +f 13507/21301 13512/21304 13509/21307 13508/21306 +f 13511/21312 13510/21309 13509/21307 13512/21304 +f 13593/21319 13605/21320 13510/21309 13511/21312 +f 13605/21320 13593/21319 13404/21207 13395/21206 +f 13493/21204 13505/21205 13395/21206 13404/21207 +f 13505/21205 13493/21204 13411/21188 13410/21185 +f 13410/21185 13411/21188 13412/21177 13409/21182 +f 13412/21177 13407/21176 13408/21183 13409/21182 +g helper-tights +f 17542/17107 17543/15885 17559/15884 17558/17305 +g joint-ground +f 19155/21321 19156/21322 19152/21323 19151/21324 +f 19156/21325 19157/21326 19153/21327 19152/21323 +f 19157/21328 19158/21329 19154/21330 19153/21327 +f 19158/21331 19155/21332 19151/21324 19154/21330 +f 19151/21324 19152/21323 19153/21327 19154/21330 +f 19158/21329 19157/21328 19156/21333 19155/21334 diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mh/default.mhskel b/third_party/UO_Model3D_v13/pipeline/body13/mh/default.mhskel new file mode 100644 index 0000000..b02cbec --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mh/default.mhskel @@ -0,0 +1,4835 @@ +{ + "bones": { + "breast.L": { + "head": "breast.L____head", + "parent": "spine02", + "reference": null, + "rotation_plane": "breast.L____plane", + "tail": "breast.L____tail" + }, + "breast.R": { + "head": "breast.R____head", + "parent": "spine02", + "reference": null, + "rotation_plane": "breast.R____plane", + "tail": "breast.R____tail" + }, + "clavicle.L": { + "head": "clavicle.L____head", + "parent": "spine01", + "reference": null, + "rotation_plane": "clavicle.L____plane", + "tail": "clavicle.L____tail" + }, + "clavicle.R": { + "head": "clavicle.R____head", + "parent": "spine01", + "reference": null, + "rotation_plane": "clavicle.R____plane", + "tail": "clavicle.R____tail" + }, + "eye.L": { + "head": "eye.L____head", + "parent": "special05.L", + "reference": null, + "rotation_plane": "eye.L____plane", + "tail": "eye.L____tail" + }, + "eye.R": { + "head": "eye.R____head", + "parent": "special05.R", + "reference": null, + "rotation_plane": "eye.R____plane", + "tail": "eye.R____tail" + }, + "finger1-1.L": { + "head": "finger1-1.L____head", + "parent": "wrist.L", + "reference": null, + "rotation_plane": "finger1-1.L____plane", + "tail": "finger1-1.L____tail" + }, + "finger1-1.R": { + "head": "finger1-1.R____head", + "parent": "wrist.R", + "reference": null, + "rotation_plane": "finger1-1.R____plane", + "tail": "finger1-1.R____tail" + }, + "finger1-2.L": { + "head": "finger1-2.L____head", + "parent": "finger1-1.L", + "reference": null, + "rotation_plane": "finger1-2.L____plane", + "tail": "finger1-2.L____tail" + }, + "finger1-2.R": { + "head": "finger1-2.R____head", + "parent": "finger1-1.R", + "reference": null, + "rotation_plane": "finger1-2.R____plane", + "tail": "finger1-2.R____tail" + }, + "finger1-3.L": { + "head": "finger1-3.L____head", + "parent": "finger1-2.L", + "reference": null, + "rotation_plane": "finger1-3.L____plane", + "tail": "finger1-3.L____tail" + }, + "finger1-3.R": { + "head": "finger1-3.R____head", + "parent": "finger1-2.R", + "reference": null, + "rotation_plane": "finger1-3.R____plane", + "tail": "finger1-3.R____tail" + }, + "finger2-1.L": { + "head": "finger2-1.L____head", + "parent": "metacarpal1.L", + "reference": null, + "rotation_plane": "finger2-1.L____plane", + "tail": "finger2-1.L____tail" + }, + "finger2-1.R": { + "head": "finger2-1.R____head", + "parent": "metacarpal1.R", + "reference": null, + "rotation_plane": "finger2-1.R____plane", + "tail": "finger2-1.R____tail" + }, + "finger2-2.L": { + "head": "finger2-2.L____head", + "parent": "finger2-1.L", + "reference": null, + "rotation_plane": "finger2-2.L____plane", + "tail": "finger2-2.L____tail" + }, + "finger2-2.R": { + "head": "finger2-2.R____head", + "parent": "finger2-1.R", + "reference": null, + "rotation_plane": "finger2-2.R____plane", + "tail": "finger2-2.R____tail" + }, + "finger2-3.L": { + "head": "finger2-3.L____head", + "parent": "finger2-2.L", + "reference": null, + "rotation_plane": "finger2-3.L____plane", + "tail": "finger2-3.L____tail" + }, + "finger2-3.R": { + "head": "finger2-3.R____head", + "parent": "finger2-2.R", + "reference": null, + "rotation_plane": "finger2-3.R____plane", + "tail": "finger2-3.R____tail" + }, + "finger3-1.L": { + "head": "finger3-1.L____head", + "parent": "metacarpal2.L", + "reference": null, + "rotation_plane": "finger3-1.L____plane", + "tail": "finger3-1.L____tail" + }, + "finger3-1.R": { + "head": "finger3-1.R____head", + "parent": "metacarpal2.R", + "reference": null, + "rotation_plane": "finger3-1.R____plane", + "tail": "finger3-1.R____tail" + }, + "finger3-2.L": { + "head": "finger3-2.L____head", + "parent": "finger3-1.L", + "reference": null, + "rotation_plane": "finger3-2.L____plane", + "tail": "finger3-2.L____tail" + }, + "finger3-2.R": { + "head": "finger3-2.R____head", + "parent": "finger3-1.R", + "reference": null, + "rotation_plane": "finger3-2.R____plane", + "tail": "finger3-2.R____tail" + }, + "finger3-3.L": { + "head": "finger3-3.L____head", + "parent": "finger3-2.L", + "reference": null, + "rotation_plane": "finger3-3.L____plane", + "tail": "finger3-3.L____tail" + }, + "finger3-3.R": { + "head": "finger3-3.R____head", + "parent": "finger3-2.R", + "reference": null, + "rotation_plane": "finger3-3.R____plane", + "tail": "finger3-3.R____tail" + }, + "finger4-1.L": { + "head": "finger4-1.L____head", + "parent": "metacarpal3.L", + "reference": null, + "rotation_plane": "finger4-1.L____plane", + "tail": "finger4-1.L____tail" + }, + "finger4-1.R": { + "head": "finger4-1.R____head", + "parent": "metacarpal3.R", + "reference": null, + "rotation_plane": "finger4-1.R____plane", + "tail": "finger4-1.R____tail" + }, + "finger4-2.L": { + "head": "finger4-2.L____head", + "parent": "finger4-1.L", + "reference": null, + "rotation_plane": "finger4-2.L____plane", + "tail": "finger4-2.L____tail" + }, + "finger4-2.R": { + "head": "finger4-2.R____head", + "parent": "finger4-1.R", + "reference": null, + "rotation_plane": "finger4-2.R____plane", + "tail": "finger4-2.R____tail" + }, + "finger4-3.L": { + "head": "finger4-3.L____head", + "parent": "finger4-2.L", + "reference": null, + "rotation_plane": "finger4-3.L____plane", + "tail": "finger4-3.L____tail" + }, + "finger4-3.R": { + "head": "finger4-3.R____head", + "parent": "finger4-2.R", + "reference": null, + "rotation_plane": "finger4-3.R____plane", + "tail": "finger4-3.R____tail" + }, + "finger5-1.L": { + "head": "finger5-1.L____head", + "parent": "metacarpal4.L", + "reference": null, + "rotation_plane": "finger5-1.L____plane", + "tail": "finger5-1.L____tail" + }, + "finger5-1.R": { + "head": "finger5-1.R____head", + "parent": "metacarpal4.R", + "reference": null, + "rotation_plane": "finger5-1.R____plane", + "tail": "finger5-1.R____tail" + }, + "finger5-2.L": { + "head": "finger5-2.L____head", + "parent": "finger5-1.L", + "reference": null, + "rotation_plane": "finger5-2.L____plane", + "tail": "finger5-2.L____tail" + }, + "finger5-2.R": { + "head": "finger5-2.R____head", + "parent": "finger5-1.R", + "reference": null, + "rotation_plane": "finger5-2.R____plane", + "tail": "finger5-2.R____tail" + }, + "finger5-3.L": { + "head": "finger5-3.L____head", + "parent": "finger5-2.L", + "reference": null, + "rotation_plane": "finger5-3.L____plane", + "tail": "finger5-3.L____tail" + }, + "finger5-3.R": { + "head": "finger5-3.R____head", + "parent": "finger5-2.R", + "reference": null, + "rotation_plane": "finger5-3.R____plane", + "tail": "finger5-3.R____tail" + }, + "foot.L": { + "head": "foot.L____head", + "parent": "lowerleg02.L", + "reference": null, + "rotation_plane": "foot.L____plane", + "tail": "foot.L____tail" + }, + "foot.R": { + "head": "foot.R____head", + "parent": "lowerleg02.R", + "reference": null, + "rotation_plane": "foot.R____plane", + "tail": "foot.R____tail" + }, + "head": { + "head": "head____head", + "parent": "neck03", + "reference": null, + "rotation_plane": "head____plane", + "tail": "head____tail" + }, + "jaw": { + "head": "jaw____head", + "parent": "head", + "reference": null, + "rotation_plane": "jaw____plane", + "tail": "jaw____tail" + }, + "levator02.L": { + "head": "levator02.L____head", + "parent": "head", + "reference": null, + "rotation_plane": "levator02.L____plane", + "tail": "levator02.L____tail" + }, + "levator02.R": { + "head": "levator02.R____head", + "parent": "head", + "reference": null, + "rotation_plane": "levator02.R____plane", + "tail": "levator02.R____tail" + }, + "levator03.L": { + "head": "levator03.L____head", + "parent": "levator02.L", + "reference": null, + "rotation_plane": "levator03.L____plane", + "tail": "levator03.L____tail" + }, + "levator03.R": { + "head": "levator03.R____head", + "parent": "levator02.R", + "reference": null, + "rotation_plane": "levator03.R____plane", + "tail": "levator03.R____tail" + }, + "levator04.L": { + "head": "levator04.L____head", + "parent": "levator03.L", + "reference": null, + "rotation_plane": "levator04.L____plane", + "tail": "levator04.L____tail" + }, + "levator04.R": { + "head": "levator04.R____head", + "parent": "levator03.R", + "reference": null, + "rotation_plane": "levator04.R____plane", + "tail": "levator04.R____tail" + }, + "levator05.L": { + "head": "levator05.L____head", + "parent": "levator04.L", + "reference": null, + "rotation_plane": "levator05.L____plane", + "tail": "levator05.L____tail" + }, + "levator05.R": { + "head": "levator05.R____head", + "parent": "levator04.R", + "reference": null, + "rotation_plane": "levator05.R____plane", + "tail": "levator05.R____tail" + }, + "levator06.L": { + "head": "levator06.L____head", + "parent": "special03", + "reference": null, + "rotation_plane": "levator06.L____plane", + "tail": "levator06.L____tail" + }, + "levator06.R": { + "head": "levator06.R____head", + "parent": "special03", + "reference": null, + "rotation_plane": "levator06.R____plane", + "tail": "levator06.R____tail" + }, + "lowerarm01.L": { + "head": "lowerarm01.L____head", + "parent": "upperarm02.L", + "reference": null, + "rotation_plane": "lowerarm01.L____plane", + "tail": "lowerarm01.L____tail" + }, + "lowerarm01.R": { + "head": "lowerarm01.R____head", + "parent": "upperarm02.R", + "reference": null, + "rotation_plane": "lowerarm01.R____plane", + "tail": "lowerarm01.R____tail" + }, + "lowerarm02.L": { + "head": "lowerarm02.L____head", + "parent": "lowerarm01.L", + "reference": null, + "rotation_plane": "lowerarm02.L____plane", + "tail": "lowerarm02.L____tail" + }, + "lowerarm02.R": { + "head": "lowerarm02.R____head", + "parent": "lowerarm01.R", + "reference": null, + "rotation_plane": "lowerarm02.R____plane", + "tail": "lowerarm02.R____tail" + }, + "lowerleg01.L": { + "head": "lowerleg01.L____head", + "parent": "upperleg02.L", + "reference": null, + "rotation_plane": "lowerleg01.L____plane", + "tail": "lowerleg01.L____tail" + }, + "lowerleg01.R": { + "head": "lowerleg01.R____head", + "parent": "upperleg02.R", + "reference": null, + "rotation_plane": "lowerleg01.R____plane", + "tail": "lowerleg01.R____tail" + }, + "lowerleg02.L": { + "head": "lowerleg02.L____head", + "parent": "lowerleg01.L", + "reference": null, + "rotation_plane": "lowerleg02.L____plane", + "tail": "lowerleg02.L____tail" + }, + "lowerleg02.R": { + "head": "lowerleg02.R____head", + "parent": "lowerleg01.R", + "reference": null, + "rotation_plane": "lowerleg02.R____plane", + "tail": "lowerleg02.R____tail" + }, + "metacarpal1.L": { + "head": "metacarpal1.L____head", + "parent": "wrist.L", + "reference": null, + "rotation_plane": "metacarpal1.L____plane", + "tail": "metacarpal1.L____tail" + }, + "metacarpal1.R": { + "head": "metacarpal1.R____head", + "parent": "wrist.R", + "reference": null, + "rotation_plane": "metacarpal1.R____plane", + "tail": "metacarpal1.R____tail" + }, + "metacarpal2.L": { + "head": "metacarpal2.L____head", + "parent": "wrist.L", + "reference": null, + "rotation_plane": "metacarpal2.L____plane", + "tail": "metacarpal2.L____tail" + }, + "metacarpal2.R": { + "head": "metacarpal2.R____head", + "parent": "wrist.R", + "reference": null, + "rotation_plane": "metacarpal2.R____plane", + "tail": "metacarpal2.R____tail" + }, + "metacarpal3.L": { + "head": "metacarpal3.L____head", + "parent": "wrist.L", + "reference": null, + "rotation_plane": "metacarpal3.L____plane", + "tail": "metacarpal3.L____tail" + }, + "metacarpal3.R": { + "head": "metacarpal3.R____head", + "parent": "wrist.R", + "reference": null, + "rotation_plane": "metacarpal3.R____plane", + "tail": "metacarpal3.R____tail" + }, + "metacarpal4.L": { + "head": "metacarpal4.L____head", + "parent": "wrist.L", + "reference": null, + "rotation_plane": "metacarpal4.L____plane", + "tail": "metacarpal4.L____tail" + }, + "metacarpal4.R": { + "head": "metacarpal4.R____head", + "parent": "wrist.R", + "reference": null, + "rotation_plane": "metacarpal4.R____plane", + "tail": "metacarpal4.R____tail" + }, + "neck01": { + "head": "neck01____head", + "parent": "spine01", + "reference": null, + "rotation_plane": "neck01____plane", + "tail": "neck01____tail" + }, + "neck02": { + "head": "neck02____head", + "parent": "neck01", + "reference": null, + "rotation_plane": "neck02____plane", + "tail": "neck02____tail" + }, + "neck03": { + "head": "neck03____head", + "parent": "neck02", + "reference": null, + "rotation_plane": "neck03____plane", + "tail": "neck03____tail" + }, + "oculi01.L": { + "head": "oculi01.L____head", + "parent": "oculi02.L", + "reference": null, + "rotation_plane": "oculi01.L____plane", + "tail": "oculi01.L____tail" + }, + "oculi01.R": { + "head": "oculi01.R____head", + "parent": "oculi02.R", + "reference": null, + "rotation_plane": "oculi01.R____plane", + "tail": "oculi01.R____tail" + }, + "oculi02.L": { + "head": "oculi02.L____head", + "parent": "temporalis01.L", + "reference": null, + "rotation_plane": "oculi02.L____plane", + "tail": "oculi02.L____tail" + }, + "oculi02.R": { + "head": "oculi02.R____head", + "parent": "temporalis01.R", + "reference": null, + "rotation_plane": "oculi02.R____plane", + "tail": "oculi02.R____tail" + }, + "orbicularis03.L": { + "head": "orbicularis03.L____head", + "parent": "special05.L", + "reference": null, + "rotation_plane": "orbicularis03.L____plane", + "tail": "orbicularis03.L____tail" + }, + "orbicularis03.R": { + "head": "orbicularis03.R____head", + "parent": "special05.R", + "reference": null, + "rotation_plane": "orbicularis03.R____plane", + "tail": "orbicularis03.R____tail" + }, + "orbicularis04.L": { + "head": "orbicularis04.L____head", + "parent": "special05.L", + "reference": null, + "rotation_plane": "orbicularis04.L____plane", + "tail": "orbicularis04.L____tail" + }, + "orbicularis04.R": { + "head": "orbicularis04.R____head", + "parent": "special05.R", + "reference": null, + "rotation_plane": "orbicularis04.R____plane", + "tail": "orbicularis04.R____tail" + }, + "oris01": { + "head": "oris01____head", + "parent": "oris02", + "reference": null, + "rotation_plane": "oris01____plane", + "tail": "oris01____tail" + }, + "oris02": { + "head": "oris02____head", + "parent": "special04", + "reference": null, + "rotation_plane": "oris02____plane", + "tail": "oris02____tail" + }, + "oris03.L": { + "head": "oris03.L____head", + "parent": "oris04.L", + "reference": null, + "rotation_plane": "oris03.L____plane", + "tail": "oris03.L____tail" + }, + "oris03.R": { + "head": "oris03.R____head", + "parent": "oris04.R", + "reference": null, + "rotation_plane": "oris03.R____plane", + "tail": "oris03.R____tail" + }, + "oris04.L": { + "head": "oris04.L____head", + "parent": "special01", + "reference": null, + "rotation_plane": "oris04.L____plane", + "tail": "oris04.L____tail" + }, + "oris04.R": { + "head": "oris04.R____head", + "parent": "special01", + "reference": null, + "rotation_plane": "oris04.R____plane", + "tail": "oris04.R____tail" + }, + "oris05": { + "head": "oris05____head", + "parent": "oris06", + "reference": null, + "rotation_plane": "oris05____plane", + "tail": "oris05____tail" + }, + "oris06": { + "head": "oris06____head", + "parent": "special01", + "reference": null, + "rotation_plane": "oris06____plane", + "tail": "oris06____tail" + }, + "oris06.L": { + "head": "oris06.L____head", + "parent": "special04", + "reference": null, + "rotation_plane": "oris06.L____plane", + "tail": "oris06.L____tail" + }, + "oris06.R": { + "head": "oris06.R____head", + "parent": "special04", + "reference": null, + "rotation_plane": "oris06.R____plane", + "tail": "oris06.R____tail" + }, + "oris07.L": { + "head": "oris07.L____head", + "parent": "oris06.L", + "reference": null, + "rotation_plane": "oris07.L____plane", + "tail": "oris07.L____tail" + }, + "oris07.R": { + "head": "oris07.R____head", + "parent": "oris06.R", + "reference": null, + "rotation_plane": "oris07.R____plane", + "tail": "oris07.R____tail" + }, + "pelvis.L": { + "head": "pelvis.L____head", + "parent": "root", + "reference": null, + "rotation_plane": "pelvis.L____plane", + "tail": "pelvis.L____tail" + }, + "pelvis.R": { + "head": "pelvis.R____head", + "parent": "root", + "reference": null, + "rotation_plane": "pelvis.R____plane", + "tail": "pelvis.R____tail" + }, + "risorius02.L": { + "head": "risorius02.L____head", + "parent": "temporalis02.L", + "reference": null, + "rotation_plane": "risorius02.L____plane", + "tail": "risorius02.L____tail" + }, + "risorius02.R": { + "head": "risorius02.R____head", + "parent": "temporalis02.R", + "reference": null, + "rotation_plane": "risorius02.R____plane", + "tail": "risorius02.R____tail" + }, + "risorius03.L": { + "head": "risorius03.L____head", + "parent": "risorius02.L", + "reference": null, + "rotation_plane": "risorius03.L____plane", + "tail": "risorius03.L____tail" + }, + "risorius03.R": { + "head": "risorius03.R____head", + "parent": "risorius02.R", + "reference": null, + "rotation_plane": "risorius03.R____plane", + "tail": "risorius03.R____tail" + }, + "root": { + "head": "root____head", + "parent": null, + "reference": null, + "rotation_plane": "root____plane", + "tail": "root____tail" + }, + "shoulder01.L": { + "head": "shoulder01.L____head", + "parent": "clavicle.L", + "reference": null, + "rotation_plane": "shoulder01.L____plane", + "tail": "shoulder01.L____tail" + }, + "shoulder01.R": { + "head": "shoulder01.R____head", + "parent": "clavicle.R", + "reference": null, + "rotation_plane": "shoulder01.R____plane", + "tail": "shoulder01.R____tail" + }, + "upperarm01.L": { + "head": "upperarm01.L____head", + "parent": "shoulder01.L", + "reference": null, + "rotation_plane": "upperarm01.L____plane", + "tail": "upperarm01.L____tail" + }, + "upperarm01.R": { + "head": "upperarm01.R____head", + "parent": "shoulder01.R", + "reference": null, + "rotation_plane": "upperarm01.R____plane", + "tail": "upperarm01.R____tail" + }, + "special01": { + "head": "special01____head", + "parent": "head", + "reference": null, + "rotation_plane": "special01____plane", + "tail": "special01____tail" + }, + "special03": { + "head": "special03____head", + "parent": "head", + "reference": null, + "rotation_plane": "special03____plane", + "tail": "special03____tail" + }, + "special04": { + "head": "special04____head", + "parent": "jaw", + "reference": null, + "rotation_plane": "special04____plane", + "tail": "special04____tail" + }, + "special05.L": { + "head": "special05.L____head", + "parent": "special06.L", + "reference": null, + "rotation_plane": "special05.L____plane", + "tail": "special05.L____tail" + }, + "special05.R": { + "head": "special05.R____head", + "parent": "special06.R", + "reference": null, + "rotation_plane": "special05.R____plane", + "tail": "special05.R____tail" + }, + "special06.L": { + "head": "special06.L____head", + "parent": "head", + "reference": null, + "rotation_plane": "special06.L____plane", + "tail": "special06.L____tail" + }, + "special06.R": { + "head": "special06.R____head", + "parent": "head", + "reference": null, + "rotation_plane": "special06.R____plane", + "tail": "special06.R____tail" + }, + "spine01": { + "head": "spine01____head", + "parent": "spine02", + "reference": null, + "rotation_plane": "spine01____plane", + "tail": "spine01____tail" + }, + "spine02": { + "head": "spine02____head", + "parent": "spine03", + "reference": null, + "rotation_plane": "spine02____plane", + "tail": "spine02____tail" + }, + "spine03": { + "head": "spine03____head", + "parent": "spine04", + "reference": null, + "rotation_plane": "spine03____plane", + "tail": "spine03____tail" + }, + "spine04": { + "head": "spine04____head", + "parent": "spine05", + "reference": null, + "rotation_plane": "spine04____plane", + "tail": "spine04____tail" + }, + "spine05": { + "head": "spine05____head", + "parent": "root", + "reference": null, + "rotation_plane": "spine05____plane", + "tail": "spine05____tail" + }, + "temporalis01.L": { + "head": "temporalis01.L____head", + "parent": "head", + "reference": null, + "rotation_plane": "temporalis01.L____plane", + "tail": "temporalis01.L____tail" + }, + "temporalis01.R": { + "head": "temporalis01.R____head", + "parent": "head", + "reference": null, + "rotation_plane": "temporalis01.R____plane", + "tail": "temporalis01.R____tail" + }, + "temporalis02.L": { + "head": "temporalis02.L____head", + "parent": "head", + "reference": null, + "rotation_plane": "temporalis02.L____plane", + "tail": "temporalis02.L____tail" + }, + "temporalis02.R": { + "head": "temporalis02.R____head", + "parent": "head", + "reference": null, + "rotation_plane": "temporalis02.R____plane", + "tail": "temporalis02.R____tail" + }, + "toe1-1.L": { + "head": "toe1-1.L____head", + "parent": "foot.L", + "reference": null, + "rotation_plane": "toe1-1.L____plane", + "tail": "toe1-1.L____tail" + }, + "toe1-1.R": { + "head": "toe1-1.R____head", + "parent": "foot.R", + "reference": null, + "rotation_plane": "toe1-1.R____plane", + "tail": "toe1-1.R____tail" + }, + "toe1-2.L": { + "head": "toe1-2.L____head", + "parent": "toe1-1.L", + "reference": null, + "rotation_plane": "toe1-2.L____plane", + "tail": "toe1-2.L____tail" + }, + "toe1-2.R": { + "head": "toe1-2.R____head", + "parent": "toe1-1.R", + "reference": null, + "rotation_plane": "toe1-2.R____plane", + "tail": "toe1-2.R____tail" + }, + "toe2-1.L": { + "head": "toe2-1.L____head", + "parent": "foot.L", + "reference": null, + "rotation_plane": "toe2-1.L____plane", + "tail": "toe2-1.L____tail" + }, + "toe2-1.R": { + "head": "toe2-1.R____head", + "parent": "foot.R", + "reference": null, + "rotation_plane": "toe2-1.R____plane", + "tail": "toe2-1.R____tail" + }, + "toe2-2.L": { + "head": "toe2-2.L____head", + "parent": "toe2-1.L", + "reference": null, + "rotation_plane": "toe2-2.L____plane", + "tail": "toe2-2.L____tail" + }, + "toe2-2.R": { + "head": "toe2-2.R____head", + "parent": "toe2-1.R", + "reference": null, + "rotation_plane": "toe2-2.R____plane", + "tail": "toe2-2.R____tail" + }, + "toe2-3.L": { + "head": "toe2-3.L____head", + "parent": "toe2-2.L", + "reference": null, + "rotation_plane": "toe2-3.L____plane", + "tail": "toe2-3.L____tail" + }, + "toe2-3.R": { + "head": "toe2-3.R____head", + "parent": "toe2-2.R", + "reference": null, + "rotation_plane": "toe2-3.R____plane", + "tail": "toe2-3.R____tail" + }, + "toe3-1.L": { + "head": "toe3-1.L____head", + "parent": "foot.L", + "reference": null, + "rotation_plane": "toe3-1.L____plane", + "tail": "toe3-1.L____tail" + }, + "toe3-1.R": { + "head": "toe3-1.R____head", + "parent": "foot.R", + "reference": null, + "rotation_plane": "toe3-1.R____plane", + "tail": "toe3-1.R____tail" + }, + "toe3-2.L": { + "head": "toe3-2.L____head", + "parent": "toe3-1.L", + "reference": null, + "rotation_plane": "toe3-2.L____plane", + "tail": "toe3-2.L____tail" + }, + "toe3-2.R": { + "head": "toe3-2.R____head", + "parent": "toe3-1.R", + "reference": null, + "rotation_plane": "toe3-2.R____plane", + "tail": "toe3-2.R____tail" + }, + "toe3-3.L": { + "head": "toe3-3.L____head", + "parent": "toe3-2.L", + "reference": null, + "rotation_plane": "toe3-3.L____plane", + "tail": "toe3-3.L____tail" + }, + "toe3-3.R": { + "head": "toe3-3.R____head", + "parent": "toe3-2.R", + "reference": null, + "rotation_plane": "toe3-3.R____plane", + "tail": "toe3-3.R____tail" + }, + "toe4-1.L": { + "head": "toe4-1.L____head", + "parent": "foot.L", + "reference": null, + "rotation_plane": "toe4-1.L____plane", + "tail": "toe4-1.L____tail" + }, + "toe4-1.R": { + "head": "toe4-1.R____head", + "parent": "foot.R", + "reference": null, + "rotation_plane": "toe4-1.R____plane", + "tail": "toe4-1.R____tail" + }, + "toe4-2.L": { + "head": "toe4-2.L____head", + "parent": "toe4-1.L", + "reference": null, + "rotation_plane": "toe4-2.L____plane", + "tail": "toe4-2.L____tail" + }, + "toe4-2.R": { + "head": "toe4-2.R____head", + "parent": "toe4-1.R", + "reference": null, + "rotation_plane": "toe4-2.R____plane", + "tail": "toe4-2.R____tail" + }, + "toe4-3.L": { + "head": "toe4-3.L____head", + "parent": "toe4-2.L", + "reference": null, + "rotation_plane": "toe4-3.L____plane", + "tail": "toe4-3.L____tail" + }, + "toe4-3.R": { + "head": "toe4-3.R____head", + "parent": "toe4-2.R", + "reference": null, + "rotation_plane": "toe4-3.R____plane", + "tail": "toe4-3.R____tail" + }, + "toe5-1.L": { + "head": "toe5-1.L____head", + "parent": "foot.L", + "reference": null, + "rotation_plane": "toe5-1.L____plane", + "tail": "toe5-1.L____tail" + }, + "toe5-1.R": { + "head": "toe5-1.R____head", + "parent": "foot.R", + "reference": null, + "rotation_plane": "toe5-1.R____plane", + "tail": "toe5-1.R____tail" + }, + "toe5-2.L": { + "head": "toe5-2.L____head", + "parent": "toe5-1.L", + "reference": null, + "rotation_plane": "toe5-2.L____plane", + "tail": "toe5-2.L____tail" + }, + "toe5-2.R": { + "head": "toe5-2.R____head", + "parent": "toe5-1.R", + "reference": null, + "rotation_plane": "toe5-2.R____plane", + "tail": "toe5-2.R____tail" + }, + "toe5-3.L": { + "head": "toe5-3.L____head", + "parent": "toe5-2.L", + "reference": null, + "rotation_plane": "toe5-3.L____plane", + "tail": "toe5-3.L____tail" + }, + "toe5-3.R": { + "head": "toe5-3.R____head", + "parent": "toe5-2.R", + "reference": null, + "rotation_plane": "toe5-3.R____plane", + "tail": "toe5-3.R____tail" + }, + "tongue00": { + "head": "tongue00____head", + "parent": "jaw", + "reference": null, + "rotation_plane": "tongue00____plane", + "tail": "tongue00____tail" + }, + "tongue01": { + "head": "tongue01____head", + "parent": "tongue00", + "reference": null, + "rotation_plane": "tongue01____plane", + "tail": "tongue01____tail" + }, + "tongue02": { + "head": "tongue02____head", + "parent": "tongue01", + "reference": null, + "rotation_plane": "tongue02____plane", + "tail": "tongue02____tail" + }, + "tongue03": { + "head": "tongue03____head", + "parent": "tongue02", + "reference": null, + "rotation_plane": "tongue03____plane", + "tail": "tongue03____tail" + }, + "tongue04": { + "head": "tongue04____head", + "parent": "tongue03", + "reference": null, + "rotation_plane": "tongue04____plane", + "tail": "tongue04____tail" + }, + "tongue05.L": { + "head": "tongue05.L____head", + "parent": "tongue01", + "reference": null, + "rotation_plane": "tongue05.L____plane", + "tail": "tongue05.L____tail" + }, + "tongue05.R": { + "head": "tongue05.R____head", + "parent": "tongue01", + "reference": null, + "rotation_plane": "tongue05.R____plane", + "tail": "tongue05.R____tail" + }, + "tongue06.L": { + "head": "tongue06.L____head", + "parent": "tongue02", + "reference": null, + "rotation_plane": "tongue06.L____plane", + "tail": "tongue06.L____tail" + }, + "tongue06.R": { + "head": "tongue06.R____head", + "parent": "tongue02", + "reference": null, + "rotation_plane": "tongue06.R____plane", + "tail": "tongue06.R____tail" + }, + "tongue07.L": { + "head": "tongue07.L____head", + "parent": "tongue03", + "reference": null, + "rotation_plane": "tongue07.L____plane", + "tail": "tongue07.L____tail" + }, + "tongue07.R": { + "head": "tongue07.R____head", + "parent": "tongue03", + "reference": null, + "rotation_plane": "tongue07.R____plane", + "tail": "tongue07.R____tail" + }, + "upperarm02.L": { + "head": "upperarm02.L____head", + "parent": "upperarm01.L", + "reference": null, + "rotation_plane": "upperarm02.L____plane", + "tail": "upperarm02.L____tail" + }, + "upperarm02.R": { + "head": "upperarm02.R____head", + "parent": "upperarm01.R", + "reference": null, + "rotation_plane": "upperarm02.R____plane", + "tail": "upperarm02.R____tail" + }, + "upperleg01.L": { + "head": "upperleg01.L____head", + "parent": "pelvis.L", + "reference": null, + "rotation_plane": "upperleg01.L____plane", + "tail": "upperleg01.L____tail" + }, + "upperleg01.R": { + "head": "upperleg01.R____head", + "parent": "pelvis.R", + "reference": null, + "rotation_plane": "upperleg01.R____plane", + "tail": "upperleg01.R____tail" + }, + "upperleg02.L": { + "head": "upperleg02.L____head", + "parent": "upperleg01.L", + "reference": null, + "rotation_plane": "upperleg02.L____plane", + "tail": "upperleg02.L____tail" + }, + "upperleg02.R": { + "head": "upperleg02.R____head", + "parent": "upperleg01.R", + "reference": null, + "rotation_plane": "upperleg02.R____plane", + "tail": "upperleg02.R____tail" + }, + "wrist.L": { + "head": "wrist.L____head", + "parent": "lowerarm02.L", + "reference": null, + "rotation_plane": "wrist.L____plane", + "tail": "wrist.L____tail" + }, + "wrist.R": { + "head": "wrist.R____head", + "parent": "lowerarm02.R", + "reference": null, + "rotation_plane": "wrist.R____plane", + "tail": "wrist.R____tail" + } + }, + "copyright": "(c) 2020 Data Collection AB, Joel Palmius, Jonas Hauquier", + "description": "MakeHuman default skeleton. A complex skeleton with detailed fingers, toes and facial bones for advanced animations.", + "joints": { + "breast.L____head": [ + 13654, + 13655, + 13656, + 13657, + 13658, + 13659, + 13660, + 13661 + ], + "breast.L____tail": [ + 8451 + ], + "breast.R____head": [ + 13654, + 13655, + 13656, + 13657, + 13658, + 13659, + 13660, + 13661 + ], + "breast.R____tail": [ + 1779 + ], + "clavicle.L____head": [ + 14054, + 14055, + 14056, + 14057, + 14058, + 14059, + 14060, + 14061 + ], + "clavicle.L____tail": [ + 14062, + 14063, + 14064, + 14065, + 14066, + 14067, + 14068, + 14069 + ], + "clavicle.R____head": [ + 14494, + 14495, + 14496, + 14497, + 14498, + 14499, + 14500, + 14501 + ], + "clavicle.R____tail": [ + 14502, + 14503, + 14504, + 14505, + 14506, + 14507, + 14508, + 14509 + ], + "eye.L____head": [ + 13606, + 13607, + 13608, + 13609, + 13610, + 13611, + 13612, + 13613 + ], + "eye.L____tail": [ + 14086, + 14087, + 14088, + 14089, + 14090, + 14091, + 14092, + 14093 + ], + "eye.R____head": [ + 13614, + 13615, + 13616, + 13617, + 13618, + 13619, + 13620, + 13621 + ], + "eye.R____tail": [ + 14518, + 14519, + 14520, + 14521, + 14522, + 14523, + 14524, + 14525 + ], + "finger1-1.L____head": [ + 14006, + 14007, + 14008, + 14009, + 14010, + 14011, + 14012, + 14013 + ], + "finger1-1.L____tail": [ + 13998, + 13999, + 14000, + 14001, + 14002, + 14003, + 14004, + 14005 + ], + "finger1-1.R____head": [ + 14446, + 14447, + 14448, + 14449, + 14450, + 14451, + 14452, + 14453 + ], + "finger1-1.R____tail": [ + 14438, + 14439, + 14440, + 14441, + 14442, + 14443, + 14444, + 14445 + ], + "finger1-2.L____head": [ + 13998, + 13999, + 14000, + 14001, + 14002, + 14003, + 14004, + 14005 + ], + "finger1-2.L____tail": [ + 13990, + 13991, + 13992, + 13993, + 13994, + 13995, + 13996, + 13997 + ], + "finger1-2.R____head": [ + 14438, + 14439, + 14440, + 14441, + 14442, + 14443, + 14444, + 14445 + ], + "finger1-2.R____tail": [ + 14430, + 14431, + 14432, + 14433, + 14434, + 14435, + 14436, + 14437 + ], + "finger1-3.L____head": [ + 13990, + 13991, + 13992, + 13993, + 13994, + 13995, + 13996, + 13997 + ], + "finger1-3.L____tail": [ + 13982, + 13983, + 13984, + 13985, + 13986, + 13987, + 13988, + 13989 + ], + "finger1-3.R____head": [ + 14430, + 14431, + 14432, + 14433, + 14434, + 14435, + 14436, + 14437 + ], + "finger1-3.R____tail": [ + 14422, + 14423, + 14424, + 14425, + 14426, + 14427, + 14428, + 14429 + ], + "finger2-1.L____head": [ + 13974, + 13975, + 13976, + 13977, + 13978, + 13979, + 13980, + 13981 + ], + "finger2-1.L____tail": [ + 13918, + 13919, + 13920, + 13921, + 13922, + 13923, + 13924, + 13925 + ], + "finger2-1.R____head": [ + 14414, + 14415, + 14416, + 14417, + 14418, + 14419, + 14420, + 14421 + ], + "finger2-1.R____tail": [ + 14358, + 14359, + 14360, + 14361, + 14362, + 14363, + 14364, + 14365 + ], + "finger2-2.L____head": [ + 13918, + 13919, + 13920, + 13921, + 13922, + 13923, + 13924, + 13925 + ], + "finger2-2.L____tail": [ + 13910, + 13911, + 13912, + 13913, + 13914, + 13915, + 13916, + 13917 + ], + "finger2-2.R____head": [ + 14358, + 14359, + 14360, + 14361, + 14362, + 14363, + 14364, + 14365 + ], + "finger2-2.R____tail": [ + 14350, + 14351, + 14352, + 14353, + 14354, + 14355, + 14356, + 14357 + ], + "finger2-3.L____head": [ + 13910, + 13911, + 13912, + 13913, + 13914, + 13915, + 13916, + 13917 + ], + "finger2-3.L____tail": [ + 13854, + 13855, + 13856, + 13857, + 13858, + 13859, + 13860, + 13861 + ], + "finger2-3.R____head": [ + 14350, + 14351, + 14352, + 14353, + 14354, + 14355, + 14356, + 14357 + ], + "finger2-3.R____tail": [ + 14294, + 14295, + 14296, + 14297, + 14298, + 14299, + 14300, + 14301 + ], + "finger3-1.L____head": [ + 13966, + 13967, + 13968, + 13969, + 13970, + 13971, + 13972, + 13973 + ], + "finger3-1.L____tail": [ + 13926, + 13927, + 13928, + 13929, + 13930, + 13931, + 13932, + 13933 + ], + "finger3-1.R____head": [ + 14406, + 14407, + 14408, + 14409, + 14410, + 14411, + 14412, + 14413 + ], + "finger3-1.R____tail": [ + 14366, + 14367, + 14368, + 14369, + 14370, + 14371, + 14372, + 14373 + ], + "finger3-2.L____head": [ + 13926, + 13927, + 13928, + 13929, + 13930, + 13931, + 13932, + 13933 + ], + "finger3-2.L____tail": [ + 13902, + 13903, + 13904, + 13905, + 13906, + 13907, + 13908, + 13909 + ], + "finger3-2.R____head": [ + 14366, + 14367, + 14368, + 14369, + 14370, + 14371, + 14372, + 14373 + ], + "finger3-2.R____tail": [ + 14342, + 14343, + 14344, + 14345, + 14346, + 14347, + 14348, + 14349 + ], + "finger3-3.L____head": [ + 13902, + 13903, + 13904, + 13905, + 13906, + 13907, + 13908, + 13909 + ], + "finger3-3.L____tail": [ + 13862, + 13863, + 13864, + 13865, + 13866, + 13867, + 13868, + 13869 + ], + "finger3-3.R____head": [ + 14342, + 14343, + 14344, + 14345, + 14346, + 14347, + 14348, + 14349 + ], + "finger3-3.R____tail": [ + 14302, + 14303, + 14304, + 14305, + 14306, + 14307, + 14308, + 14309 + ], + "finger4-1.L____head": [ + 13958, + 13959, + 13960, + 13961, + 13962, + 13963, + 13964, + 13965 + ], + "finger4-1.L____tail": [ + 13934, + 13935, + 13936, + 13937, + 13938, + 13939, + 13940, + 13941 + ], + "finger4-1.R____head": [ + 14398, + 14399, + 14400, + 14401, + 14402, + 14403, + 14404, + 14405 + ], + "finger4-1.R____tail": [ + 14374, + 14375, + 14376, + 14377, + 14378, + 14379, + 14380, + 14381 + ], + "finger4-2.L____head": [ + 13934, + 13935, + 13936, + 13937, + 13938, + 13939, + 13940, + 13941 + ], + "finger4-2.L____tail": [ + 13894, + 13895, + 13896, + 13897, + 13898, + 13899, + 13900, + 13901 + ], + "finger4-2.R____head": [ + 14374, + 14375, + 14376, + 14377, + 14378, + 14379, + 14380, + 14381 + ], + "finger4-2.R____tail": [ + 14334, + 14335, + 14336, + 14337, + 14338, + 14339, + 14340, + 14341 + ], + "finger4-3.L____head": [ + 13894, + 13895, + 13896, + 13897, + 13898, + 13899, + 13900, + 13901 + ], + "finger4-3.L____tail": [ + 13870, + 13871, + 13872, + 13873, + 13874, + 13875, + 13876, + 13877 + ], + "finger4-3.R____head": [ + 14334, + 14335, + 14336, + 14337, + 14338, + 14339, + 14340, + 14341 + ], + "finger4-3.R____tail": [ + 14310, + 14311, + 14312, + 14313, + 14314, + 14315, + 14316, + 14317 + ], + "finger5-1.L____head": [ + 13950, + 13951, + 13952, + 13953, + 13954, + 13955, + 13956, + 13957 + ], + "finger5-1.L____tail": [ + 13942, + 13943, + 13944, + 13945, + 13946, + 13947, + 13948, + 13949 + ], + "finger5-1.R____head": [ + 14390, + 14391, + 14392, + 14393, + 14394, + 14395, + 14396, + 14397 + ], + "finger5-1.R____tail": [ + 14382, + 14383, + 14384, + 14385, + 14386, + 14387, + 14388, + 14389 + ], + "finger5-2.L____head": [ + 13942, + 13943, + 13944, + 13945, + 13946, + 13947, + 13948, + 13949 + ], + "finger5-2.L____tail": [ + 13886, + 13887, + 13888, + 13889, + 13890, + 13891, + 13892, + 13893 + ], + "finger5-2.R____head": [ + 14382, + 14383, + 14384, + 14385, + 14386, + 14387, + 14388, + 14389 + ], + "finger5-2.R____tail": [ + 14326, + 14327, + 14328, + 14329, + 14330, + 14331, + 14332, + 14333 + ], + "finger5-3.L____head": [ + 13886, + 13887, + 13888, + 13889, + 13890, + 13891, + 13892, + 13893 + ], + "finger5-3.L____tail": [ + 13878, + 13879, + 13880, + 13881, + 13882, + 13883, + 13884, + 13885 + ], + "finger5-3.R____head": [ + 14326, + 14327, + 14328, + 14329, + 14330, + 14331, + 14332, + 14333 + ], + "finger5-3.R____tail": [ + 14318, + 14319, + 14320, + 14321, + 14322, + 14323, + 14324, + 14325 + ], + "foot.L____head": [ + 13830, + 13831, + 13832, + 13833, + 13834, + 13835, + 13836, + 13837 + ], + "foot.L____tail": [ + 13670, + 13671, + 13672, + 13673, + 13674, + 13675, + 13676, + 13677, + 13830, + 13831, + 13832, + 13833, + 13834, + 13835, + 13836, + 13837 + ], + "foot.R____head": [ + 14270, + 14271, + 14272, + 14273, + 14274, + 14275, + 14276, + 14277 + ], + "foot.R____tail": [ + 14110, + 14111, + 14112, + 14113, + 14114, + 14115, + 14116, + 14117, + 14270, + 14271, + 14272, + 14273, + 14274, + 14275, + 14276, + 14277 + ], + "head____head": [ + 14070, + 14071, + 14072, + 14073, + 14074, + 14075, + 14076, + 14077 + ], + "head____tail": [ + 14566, + 14567, + 14568, + 14569, + 14570, + 14571, + 14572, + 14573 + ], + "jaw____head": [ + 14590, + 14591, + 14592, + 14593, + 14594, + 14595, + 14596, + 14597 + ], + "jaw____tail": [ + 991 + ], + "levator02.L____head": [ + 11679 + ], + "levator02.L____tail": [ + 6960 + ], + "levator02.R____head": [ + 5062 + ], + "levator02.R____tail": [ + 184 + ], + "levator03.L____head": [ + 6960 + ], + "levator03.L____tail": [ + 11925 + ], + "levator03.R____head": [ + 184 + ], + "levator03.R____tail": [ + 5321 + ], + "levator04.L____head": [ + 11925 + ], + "levator04.L____tail": [ + 10407 + ], + "levator04.R____head": [ + 5321 + ], + "levator04.R____tail": [ + 3739 + ], + "levator05.L____head": [ + 10407 + ], + "levator05.L____tail": [ + 7159 + ], + "levator05.R____head": [ + 3739 + ], + "levator05.R____tail": [ + 399 + ], + "levator06.L____head": [ + 7062 + ], + "levator06.L____tail": [ + 11685 + ], + "levator06.R____head": [ + 295 + ], + "levator06.R____tail": [ + 5069 + ], + "lowerarm01.L____head": [ + 14038, + 14039, + 14040, + 14041, + 14042, + 14043, + 14044, + 14045 + ], + "lowerarm01.L____tail": [ + 14038, + 14039, + 14040, + 14041, + 14042, + 14043, + 14044, + 14045, + 14030, + 14031, + 14032, + 14033, + 14034, + 14035, + 14036, + 14037 + ], + "lowerarm01.R____head": [ + 14478, + 14479, + 14480, + 14481, + 14482, + 14483, + 14484, + 14485 + ], + "lowerarm01.R____tail": [ + 14478, + 14479, + 14480, + 14481, + 14482, + 14483, + 14484, + 14485, + 14470, + 14471, + 14472, + 14473, + 14474, + 14475, + 14476, + 14477 + ], + "lowerarm02.L____head": [ + 14030, + 14031, + 14032, + 14033, + 14034, + 14035, + 14036, + 14037, + 14038, + 14039, + 14040, + 14041, + 14042, + 14043, + 14044, + 14045 + ], + "lowerarm02.L____tail": [ + 14030, + 14031, + 14032, + 14033, + 14034, + 14035, + 14036, + 14037 + ], + "lowerarm02.R____head": [ + 14470, + 14471, + 14472, + 14473, + 14474, + 14475, + 14476, + 14477, + 14478, + 14479, + 14480, + 14481, + 14482, + 14483, + 14484, + 14485 + ], + "lowerarm02.R____tail": [ + 14470, + 14471, + 14472, + 14473, + 14474, + 14475, + 14476, + 14477 + ], + "lowerleg01.L____head": [ + 13838, + 13839, + 13840, + 13841, + 13842, + 13843, + 13844, + 13845 + ], + "lowerleg01.L____tail": [ + 13838, + 13839, + 13840, + 13841, + 13842, + 13843, + 13844, + 13845, + 13830, + 13831, + 13832, + 13833, + 13834, + 13835, + 13836, + 13837 + ], + "lowerleg01.R____head": [ + 14278, + 14279, + 14280, + 14281, + 14282, + 14283, + 14284, + 14285 + ], + "lowerleg01.R____tail": [ + 14278, + 14279, + 14280, + 14281, + 14282, + 14283, + 14284, + 14285, + 14270, + 14271, + 14272, + 14273, + 14274, + 14275, + 14276, + 14277 + ], + "lowerleg02.L____head": [ + 13830, + 13831, + 13832, + 13833, + 13834, + 13835, + 13836, + 13837, + 13838, + 13839, + 13840, + 13841, + 13842, + 13843, + 13844, + 13845 + ], + "lowerleg02.L____tail": [ + 13830, + 13831, + 13832, + 13833, + 13834, + 13835, + 13836, + 13837 + ], + "lowerleg02.R____head": [ + 14270, + 14271, + 14272, + 14273, + 14274, + 14275, + 14276, + 14277, + 14278, + 14279, + 14280, + 14281, + 14282, + 14283, + 14284, + 14285 + ], + "lowerleg02.R____tail": [ + 14270, + 14271, + 14272, + 14273, + 14274, + 14275, + 14276, + 14277 + ], + "metacarpal1.L____head": [ + 14014, + 14015, + 14016, + 14017, + 14018, + 14019, + 14020, + 14021 + ], + "metacarpal1.L____tail": [ + 13974, + 13975, + 13976, + 13977, + 13978, + 13979, + 13980, + 13981 + ], + "metacarpal1.R____head": [ + 14454, + 14455, + 14456, + 14457, + 14458, + 14459, + 14460, + 14461 + ], + "metacarpal1.R____tail": [ + 14414, + 14415, + 14416, + 14417, + 14418, + 14419, + 14420, + 14421 + ], + "metacarpal2.L____head": [ + 14014, + 14015, + 14016, + 14017, + 14018, + 14019, + 14020, + 14021 + ], + "metacarpal2.L____tail": [ + 13966, + 13967, + 13968, + 13969, + 13970, + 13971, + 13972, + 13973 + ], + "metacarpal2.R____head": [ + 14454, + 14455, + 14456, + 14457, + 14458, + 14459, + 14460, + 14461 + ], + "metacarpal2.R____tail": [ + 14406, + 14407, + 14408, + 14409, + 14410, + 14411, + 14412, + 14413 + ], + "metacarpal3.L____head": [ + 14022, + 14023, + 14024, + 14025, + 14026, + 14027, + 14028, + 14029 + ], + "metacarpal3.L____tail": [ + 13958, + 13959, + 13960, + 13961, + 13962, + 13963, + 13964, + 13965 + ], + "metacarpal3.R____head": [ + 14462, + 14463, + 14464, + 14465, + 14466, + 14467, + 14468, + 14469 + ], + "metacarpal3.R____tail": [ + 14398, + 14399, + 14400, + 14401, + 14402, + 14403, + 14404, + 14405 + ], + "metacarpal4.L____head": [ + 14022, + 14023, + 14024, + 14025, + 14026, + 14027, + 14028, + 14029 + ], + "metacarpal4.L____tail": [ + 13950, + 13951, + 13952, + 13953, + 13954, + 13955, + 13956, + 13957 + ], + "metacarpal4.R____head": [ + 14462, + 14463, + 14464, + 14465, + 14466, + 14467, + 14468, + 14469 + ], + "metacarpal4.R____tail": [ + 14390, + 14391, + 14392, + 14393, + 14394, + 14395, + 14396, + 14397 + ], + "neck01____head": [ + 14534, + 14535, + 14536, + 14537, + 14538, + 14539, + 14540, + 14541 + ], + "neck01____tail": [ + 754, + 756, + 818, + 819, + 820, + 821, + 824, + 825, + 826, + 827, + 831, + 832, + 7473, + 7475, + 7529, + 7530, + 7531, + 7532, + 7535, + 7536, + 7537, + 7538, + 7542, + 7543 + ], + "neck02____head": [ + 754, + 756, + 818, + 819, + 820, + 821, + 824, + 825, + 826, + 827, + 831, + 832, + 7473, + 7475, + 7529, + 7530, + 7531, + 7532, + 7535, + 7536, + 7537, + 7538, + 7542, + 7543 + ], + "neck02____tail": [ + 748, + 750, + 817, + 818, + 823, + 824, + 829, + 885, + 886, + 887, + 992, + 1002, + 7467, + 7469, + 7528, + 7529, + 7534, + 7535, + 7540, + 7587, + 7588, + 7589, + 7686, + 7696 + ], + "neck03____head": [ + 748, + 750, + 817, + 818, + 823, + 824, + 829, + 885, + 886, + 887, + 992, + 1002, + 7467, + 7469, + 7528, + 7529, + 7534, + 7535, + 7540, + 7587, + 7588, + 7589, + 7686, + 7696 + ], + "neck03____tail": [ + 14070, + 14071, + 14072, + 14073, + 14074, + 14075, + 14076, + 14077 + ], + "oculi01.L____head": [ + 6996 + ], + "oculi01.L____tail": [ + 7006 + ], + "oculi01.R____head": [ + 222 + ], + "oculi01.R____tail": [ + 233 + ], + "oculi02.L____head": [ + 6986 + ], + "oculi02.L____tail": [ + 6996 + ], + "oculi02.R____head": [ + 211 + ], + "oculi02.R____tail": [ + 222 + ], + "orbicularis03.L____head": [ + 13606, + 13607, + 13608, + 13609, + 13610, + 13611, + 13612, + 13613 + ], + "orbicularis03.L____tail": [ + 14094, + 14095, + 14096, + 14097, + 14098, + 14099, + 14100, + 14101 + ], + "orbicularis03.R____head": [ + 13614, + 13615, + 13616, + 13617, + 13618, + 13619, + 13620, + 13621 + ], + "orbicularis03.R____tail": [ + 14526, + 14527, + 14528, + 14529, + 14530, + 14531, + 14532, + 14533 + ], + "orbicularis04.L____head": [ + 13606, + 13607, + 13608, + 13609, + 13610, + 13611, + 13612, + 13613 + ], + "orbicularis04.L____tail": [ + 14078, + 14079, + 14080, + 14081, + 14082, + 14083, + 14084, + 14085 + ], + "orbicularis04.R____head": [ + 13614, + 13615, + 13616, + 13617, + 13618, + 13619, + 13620, + 13621 + ], + "orbicularis04.R____tail": [ + 14510, + 14511, + 14512, + 14513, + 14514, + 14515, + 14516, + 14517 + ], + "oris01____head": [ + 491 + ], + "oris01____tail": [ + 494 + ], + "oris02____head": [ + 14542, + 14543, + 14544, + 14545, + 14546, + 14547, + 14548, + 14549 + ], + "oris02____tail": [ + 491 + ], + "oris03.L____head": [ + 11965 + ], + "oris03.L____tail": [ + 7170 + ], + "oris03.R____head": [ + 5363 + ], + "oris03.R____tail": [ + 410 + ], + "oris04.L____head": [ + 343 + ], + "oris04.L____tail": [ + 11965 + ], + "oris04.R____head": [ + 343 + ], + "oris04.R____tail": [ + 5363 + ], + "oris05____head": [ + 5342 + ], + "oris05____tail": [ + 466 + ], + "oris06.L____head": [ + 14542, + 14543, + 14544, + 14545, + 14546, + 14547, + 14548, + 14549 + ], + "oris06.L____tail": [ + 7450 + ], + "oris06.R____head": [ + 14542, + 14543, + 14544, + 14545, + 14546, + 14547, + 14548, + 14549 + ], + "oris06.R____tail": [ + 728 + ], + "oris06____head": [ + 343 + ], + "oris06____tail": [ + 5342 + ], + "oris07.L____head": [ + 7450 + ], + "oris07.L____tail": [ + 7166 + ], + "oris07.R____head": [ + 728 + ], + "oris07.R____tail": [ + 406 + ], + "pelvis.L____head": [ + 13622, + 13623, + 13624, + 13625, + 13626, + 13627, + 13628, + 13629 + ], + "pelvis.L____tail": [ + 13846, + 13847, + 13848, + 13849, + 13850, + 13851, + 13852, + 13853 + ], + "pelvis.R____head": [ + 13622, + 13623, + 13624, + 13625, + 13626, + 13627, + 13628, + 13629 + ], + "pelvis.R____tail": [ + 14286, + 14287, + 14288, + 14289, + 14290, + 14291, + 14292, + 14293 + ], + "risorius02.L____head": [ + 11704 + ], + "risorius02.L____tail": [ + 11927 + ], + "risorius02.R____head": [ + 5089 + ], + "risorius02.R____tail": [ + 5323 + ], + "risorius03.L____head": [ + 11927 + ], + "risorius03.L____tail": [ + 11819 + ], + "risorius03.R____head": [ + 5323 + ], + "risorius03.R____tail": [ + 5208 + ], + "root____head": [ + 4223 + ], + "root____tail": [ + 13622, + 13623, + 13624, + 13625, + 13626, + 13627, + 13628, + 13629 + ], + "shoulder01.L____head": [ + 14062, + 14063, + 14064, + 14065, + 14066, + 14067, + 14068, + 14069 + ], + "shoulder01.L____tail": [ + 14046, + 14047, + 14048, + 14049, + 14050, + 14051, + 14052, + 14053 + ], + "shoulder01.R____head": [ + 14502, + 14503, + 14504, + 14505, + 14506, + 14507, + 14508, + 14509 + ], + "shoulder01.R____tail": [ + 14486, + 14487, + 14488, + 14489, + 14490, + 14491, + 14492, + 14493 + ], + "upperarm01.L____head": [ + 14046, + 14047, + 14048, + 14049, + 14050, + 14051, + 14052, + 14053 + ], + "upperarm01.L____tail": [ + 8092, + 8094, + 8107, + 8117, + 8128, + 8130, + 8300, + 8310, + 8311, + 8312, + 8320, + 8321, + 8324, + 8334, + 10426, + 10427 + ], + "upperarm01.R____head": [ + 14486, + 14487, + 14488, + 14489, + 14490, + 14491, + 14492, + 14493 + ], + "upperarm01.R____tail": [ + 1404, + 1406, + 1419, + 1429, + 1440, + 1442, + 1628, + 1638, + 1639, + 1640, + 1648, + 1649, + 1652, + 1662, + 3759, + 3760 + ], + "special01____head": [ + 5266 + ], + "special01____tail": [ + 343 + ], + "special03____head": [ + 14590, + 14591, + 14592, + 14593, + 14594, + 14595, + 14596, + 14597 + ], + "special03____tail": [ + 5134 + ], + "special04____head": [ + 991 + ], + "special04____tail": [ + 14542, + 14543, + 14544, + 14545, + 14546, + 14547, + 14548, + 14549 + ], + "special05.L____head": [ + 7746 + ], + "special05.L____tail": [ + 13606, + 13607, + 13608, + 13609, + 13610, + 13611, + 13612, + 13613 + ], + "special05.R____head": [ + 1054 + ], + "special05.R____tail": [ + 13614, + 13615, + 13616, + 13617, + 13618, + 13619, + 13620, + 13621 + ], + "special06.L____head": [ + 14566, + 14567, + 14568, + 14569, + 14570, + 14571, + 14572, + 14573 + ], + "special06.L____tail": [ + 7746 + ], + "special06.R____head": [ + 14566, + 14567, + 14568, + 14569, + 14570, + 14571, + 14572, + 14573 + ], + "special06.R____tail": [ + 1054 + ], + "spine01____head": [ + 13654, + 13655, + 13656, + 13657, + 13658, + 13659, + 13660, + 13661 + ], + "spine01____tail": [ + 14534, + 14535, + 14536, + 14537, + 14538, + 14539, + 14540, + 14541 + ], + "spine02____head": [ + 13646, + 13647, + 13648, + 13649, + 13650, + 13651, + 13652, + 13653 + ], + "spine02____tail": [ + 13654, + 13655, + 13656, + 13657, + 13658, + 13659, + 13660, + 13661 + ], + "spine03____head": [ + 13638, + 13639, + 13640, + 13641, + 13642, + 13643, + 13644, + 13645 + ], + "spine03____tail": [ + 13646, + 13647, + 13648, + 13649, + 13650, + 13651, + 13652, + 13653 + ], + "spine04____head": [ + 13630, + 13631, + 13632, + 13633, + 13634, + 13635, + 13636, + 13637 + ], + "spine04____tail": [ + 13638, + 13639, + 13640, + 13641, + 13642, + 13643, + 13644, + 13645 + ], + "spine05____head": [ + 13622, + 13623, + 13624, + 13625, + 13626, + 13627, + 13628, + 13629 + ], + "spine05____tail": [ + 13630, + 13631, + 13632, + 13633, + 13634, + 13635, + 13636, + 13637 + ], + "temporalis01.L____head": [ + 10409 + ], + "temporalis01.L____tail": [ + 6986 + ], + "temporalis01.R____head": [ + 3741 + ], + "temporalis01.R____tail": [ + 211 + ], + "temporalis02.L____head": [ + 11797 + ], + "temporalis02.L____tail": [ + 11704 + ], + "temporalis02.R____head": [ + 5185 + ], + "temporalis02.R____tail": [ + 5089 + ], + "toe1-1.L____head": [ + 13822, + 13823, + 13824, + 13825, + 13826, + 13827, + 13828, + 13829 + ], + "toe1-1.L____tail": [ + 13814, + 13815, + 13816, + 13817, + 13818, + 13819, + 13820, + 13821 + ], + "toe1-1.R____head": [ + 14262, + 14263, + 14264, + 14265, + 14266, + 14267, + 14268, + 14269 + ], + "toe1-1.R____tail": [ + 14254, + 14255, + 14256, + 14257, + 14258, + 14259, + 14260, + 14261 + ], + "toe1-2.L____head": [ + 13814, + 13815, + 13816, + 13817, + 13818, + 13819, + 13820, + 13821 + ], + "toe1-2.L____tail": [ + 13806, + 13807, + 13808, + 13809, + 13810, + 13811, + 13812, + 13813 + ], + "toe1-2.R____head": [ + 14254, + 14255, + 14256, + 14257, + 14258, + 14259, + 14260, + 14261 + ], + "toe1-2.R____tail": [ + 14246, + 14247, + 14248, + 14249, + 14250, + 14251, + 14252, + 14253 + ], + "toe2-1.L____head": [ + 13798, + 13799, + 13800, + 13801, + 13802, + 13803, + 13804, + 13805 + ], + "toe2-1.L____tail": [ + 13742, + 13743, + 13744, + 13745, + 13746, + 13747, + 13748, + 13749 + ], + "toe2-1.R____head": [ + 14238, + 14239, + 14240, + 14241, + 14242, + 14243, + 14244, + 14245 + ], + "toe2-1.R____tail": [ + 14182, + 14183, + 14184, + 14185, + 14186, + 14187, + 14188, + 14189 + ], + "toe2-2.L____head": [ + 13742, + 13743, + 13744, + 13745, + 13746, + 13747, + 13748, + 13749 + ], + "toe2-2.L____tail": [ + 13734, + 13735, + 13736, + 13737, + 13738, + 13739, + 13740, + 13741 + ], + "toe2-2.R____head": [ + 14182, + 14183, + 14184, + 14185, + 14186, + 14187, + 14188, + 14189 + ], + "toe2-2.R____tail": [ + 14174, + 14175, + 14176, + 14177, + 14178, + 14179, + 14180, + 14181 + ], + "toe2-3.L____head": [ + 13734, + 13735, + 13736, + 13737, + 13738, + 13739, + 13740, + 13741 + ], + "toe2-3.L____tail": [ + 13726, + 13727, + 13728, + 13729, + 13730, + 13731, + 13732, + 13733 + ], + "toe2-3.R____head": [ + 14174, + 14175, + 14176, + 14177, + 14178, + 14179, + 14180, + 14181 + ], + "toe2-3.R____tail": [ + 14166, + 14167, + 14168, + 14169, + 14170, + 14171, + 14172, + 14173 + ], + "toe3-1.L____head": [ + 13790, + 13791, + 13792, + 13793, + 13794, + 13795, + 13796, + 13797 + ], + "toe3-1.L____tail": [ + 13750, + 13751, + 13752, + 13753, + 13754, + 13755, + 13756, + 13757 + ], + "toe3-1.R____head": [ + 14230, + 14231, + 14232, + 14233, + 14234, + 14235, + 14236, + 14237 + ], + "toe3-1.R____tail": [ + 14190, + 14191, + 14192, + 14193, + 14194, + 14195, + 14196, + 14197 + ], + "toe3-2.L____head": [ + 13750, + 13751, + 13752, + 13753, + 13754, + 13755, + 13756, + 13757 + ], + "toe3-2.L____tail": [ + 13710, + 13711, + 13712, + 13713, + 13714, + 13715, + 13716, + 13717 + ], + "toe3-2.R____head": [ + 14190, + 14191, + 14192, + 14193, + 14194, + 14195, + 14196, + 14197 + ], + "toe3-2.R____tail": [ + 14150, + 14151, + 14152, + 14153, + 14154, + 14155, + 14156, + 14157 + ], + "toe3-3.L____head": [ + 13710, + 13711, + 13712, + 13713, + 13714, + 13715, + 13716, + 13717 + ], + "toe3-3.L____tail": [ + 13718, + 13719, + 13720, + 13721, + 13722, + 13723, + 13724, + 13725 + ], + "toe3-3.R____head": [ + 14150, + 14151, + 14152, + 14153, + 14154, + 14155, + 14156, + 14157 + ], + "toe3-3.R____tail": [ + 14158, + 14159, + 14160, + 14161, + 14162, + 14163, + 14164, + 14165 + ], + "toe4-1.L____head": [ + 13782, + 13783, + 13784, + 13785, + 13786, + 13787, + 13788, + 13789 + ], + "toe4-1.L____tail": [ + 13758, + 13759, + 13760, + 13761, + 13762, + 13763, + 13764, + 13765 + ], + "toe4-1.R____head": [ + 14222, + 14223, + 14224, + 14225, + 14226, + 14227, + 14228, + 14229 + ], + "toe4-1.R____tail": [ + 14198, + 14199, + 14200, + 14201, + 14202, + 14203, + 14204, + 14205 + ], + "toe4-2.L____head": [ + 13758, + 13759, + 13760, + 13761, + 13762, + 13763, + 13764, + 13765 + ], + "toe4-2.L____tail": [ + 13694, + 13695, + 13696, + 13697, + 13698, + 13699, + 13700, + 13701 + ], + "toe4-2.R____head": [ + 14198, + 14199, + 14200, + 14201, + 14202, + 14203, + 14204, + 14205 + ], + "toe4-2.R____tail": [ + 14134, + 14135, + 14136, + 14137, + 14138, + 14139, + 14140, + 14141 + ], + "toe4-3.L____head": [ + 13694, + 13695, + 13696, + 13697, + 13698, + 13699, + 13700, + 13701 + ], + "toe4-3.L____tail": [ + 13702, + 13703, + 13704, + 13705, + 13706, + 13707, + 13708, + 13709 + ], + "toe4-3.R____head": [ + 14134, + 14135, + 14136, + 14137, + 14138, + 14139, + 14140, + 14141 + ], + "toe4-3.R____tail": [ + 14142, + 14143, + 14144, + 14145, + 14146, + 14147, + 14148, + 14149 + ], + "toe5-1.L____head": [ + 13774, + 13775, + 13776, + 13777, + 13778, + 13779, + 13780, + 13781 + ], + "toe5-1.L____tail": [ + 13766, + 13767, + 13768, + 13769, + 13770, + 13771, + 13772, + 13773 + ], + "toe5-1.R____head": [ + 14214, + 14215, + 14216, + 14217, + 14218, + 14219, + 14220, + 14221 + ], + "toe5-1.R____tail": [ + 14206, + 14207, + 14208, + 14209, + 14210, + 14211, + 14212, + 14213 + ], + "toe5-2.L____head": [ + 13766, + 13767, + 13768, + 13769, + 13770, + 13771, + 13772, + 13773 + ], + "toe5-2.L____tail": [ + 13678, + 13679, + 13680, + 13681, + 13682, + 13683, + 13684, + 13685 + ], + "toe5-2.R____head": [ + 14206, + 14207, + 14208, + 14209, + 14210, + 14211, + 14212, + 14213 + ], + "toe5-2.R____tail": [ + 14118, + 14119, + 14120, + 14121, + 14122, + 14123, + 14124, + 14125 + ], + "toe5-3.L____head": [ + 13678, + 13679, + 13680, + 13681, + 13682, + 13683, + 13684, + 13685 + ], + "toe5-3.L____tail": [ + 13686, + 13687, + 13688, + 13689, + 13690, + 13691, + 13692, + 13693 + ], + "toe5-3.R____head": [ + 14118, + 14119, + 14120, + 14121, + 14122, + 14123, + 14124, + 14125 + ], + "toe5-3.R____tail": [ + 14126, + 14127, + 14128, + 14129, + 14130, + 14131, + 14132, + 14133 + ], + "tongue00____head": [ + 991 + ], + "tongue00____tail": [ + 14582, + 14583, + 14584, + 14585, + 14586, + 14587, + 14588, + 14589 + ], + "tongue01____head": [ + 14582, + 14583, + 14584, + 14585, + 14586, + 14587, + 14588, + 14589 + ], + "tongue01____tail": [ + 14574, + 14575, + 14576, + 14577, + 14578, + 14579, + 14580, + 14581 + ], + "tongue02____head": [ + 14574, + 14575, + 14576, + 14577, + 14578, + 14579, + 14580, + 14581 + ], + "tongue02____tail": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565 + ], + "tongue03____head": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565 + ], + "tongue03____tail": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565, + 14550, + 14551, + 14552, + 14553, + 14554, + 14555, + 14556, + 14557 + ], + "tongue04____head": [ + 14550, + 14551, + 14552, + 14553, + 14554, + 14555, + 14556, + 14557, + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565 + ], + "tongue04____tail": [ + 14550, + 14551, + 14552, + 14553, + 14554, + 14555, + 14556, + 14557 + ], + "tongue05.L____head": [ + 14574, + 14575, + 14576, + 14577, + 14578, + 14579, + 14580, + 14581 + ], + "tongue05.L____tail": [ + 13535 + ], + "tongue05.R____head": [ + 14574, + 14575, + 14576, + 14577, + 14578, + 14579, + 14580, + 14581 + ], + "tongue05.R____tail": [ + 13435 + ], + "tongue06.L____head": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565 + ], + "tongue06.L____tail": [ + 13527 + ], + "tongue06.R____head": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565 + ], + "tongue06.R____tail": [ + 13427 + ], + "tongue07.L____head": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565, + 14550, + 14551, + 14552, + 14553, + 14554, + 14555, + 14556, + 14557 + ], + "tongue07.L____tail": [ + 13564 + ], + "tongue07.R____head": [ + 14558, + 14559, + 14560, + 14561, + 14562, + 14563, + 14564, + 14565, + 14550, + 14551, + 14552, + 14553, + 14554, + 14555, + 14556, + 14557 + ], + "tongue07.R____tail": [ + 13464 + ], + "upperarm02.L____head": [ + 8092, + 8094, + 8107, + 8117, + 8128, + 8130, + 8300, + 8310, + 8311, + 8312, + 8320, + 8321, + 8324, + 8334, + 10426, + 10427 + ], + "upperarm02.L____tail": [ + 14038, + 14039, + 14040, + 14041, + 14042, + 14043, + 14044, + 14045 + ], + "upperarm02.R____head": [ + 1404, + 1406, + 1419, + 1429, + 1440, + 1442, + 1628, + 1638, + 1639, + 1640, + 1648, + 1649, + 1652, + 1662, + 3759, + 3760 + ], + "upperarm02.R____tail": [ + 14478, + 14479, + 14480, + 14481, + 14482, + 14483, + 14484, + 14485 + ], + "upperleg01.L____head": [ + 13846, + 13847, + 13848, + 13849, + 13850, + 13851, + 13852, + 13853 + ], + "upperleg01.L____tail": [ + 10891, + 10938, + 11025, + 12991 + ], + "upperleg01.R____head": [ + 14286, + 14287, + 14288, + 14289, + 14290, + 14291, + 14292, + 14293 + ], + "upperleg01.R____tail": [ + 4260, + 4308, + 4407, + 6394 + ], + "upperleg02.L____head": [ + 10891, + 10938, + 11025, + 12991 + ], + "upperleg02.L____tail": [ + 13838, + 13839, + 13840, + 13841, + 13842, + 13843, + 13844, + 13845 + ], + "upperleg02.R____head": [ + 4260, + 4308, + 4407, + 6394 + ], + "upperleg02.R____tail": [ + 14278, + 14279, + 14280, + 14281, + 14282, + 14283, + 14284, + 14285 + ], + "wrist.L____head": [ + 14030, + 14031, + 14032, + 14033, + 14034, + 14035, + 14036, + 14037 + ], + "wrist.L____tail": [ + 14014, + 14015, + 14016, + 14017, + 14018, + 14019, + 14020, + 14021 + ], + "wrist.R____head": [ + 14470, + 14471, + 14472, + 14473, + 14474, + 14475, + 14476, + 14477 + ], + "wrist.R____tail": [ + 14454, + 14455, + 14456, + 14457, + 14458, + 14459, + 14460, + 14461 + ] + }, + "license": "CC0", + "name": "MakeHuman default skeleton", + "planes": { + "breast.L____plane": [ + "special01____tail", + "spine01____head", + "spine01____tail" + ], + "breast.R____plane": [ + "special01____tail", + "spine01____head", + "spine01____tail" + ], + "clavicle.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "clavicle.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "eye.L____plane": [ + "orbicularis03.L____tail", + "orbicularis04.L____tail", + "eye.L____head" + ], + "eye.R____plane": [ + "orbicularis03.R____tail", + "orbicularis04.R____tail", + "eye.R____head" + ], + "finger1-1.L____plane": [ + "finger1-3.L____tail", + "finger1-2.L____tail", + "wrist.L____head" + ], + "finger1-1.R____plane": [ + "finger1-3.R____tail", + "finger1-2.R____tail", + "wrist.R____head" + ], + "finger1-2.L____plane": [ + "finger1-3.L____tail", + "finger1-2.L____tail", + "wrist.L____head" + ], + "finger1-2.R____plane": [ + "finger1-3.R____tail", + "finger1-2.R____tail", + "wrist.R____head" + ], + "finger1-3.L____plane": [ + "finger1-3.L____tail", + "finger1-2.L____tail", + "wrist.L____head" + ], + "finger1-3.R____plane": [ + "finger1-3.R____tail", + "finger1-2.R____tail", + "wrist.R____head" + ], + "finger2-1.L____plane": [ + "finger2-3.L____tail", + "finger2-1.L____tail", + "wrist.L____head" + ], + "finger2-1.R____plane": [ + "finger2-3.R____tail", + "finger2-1.R____tail", + "wrist.R____head" + ], + "finger2-2.L____plane": [ + "finger2-3.L____tail", + "finger2-1.L____tail", + "wrist.L____head" + ], + "finger2-2.R____plane": [ + "finger2-3.R____tail", + "finger2-1.R____tail", + "wrist.R____head" + ], + "finger2-3.L____plane": [ + "finger2-3.L____tail", + "finger2-1.L____tail", + "wrist.L____head" + ], + "finger2-3.R____plane": [ + "finger2-3.R____tail", + "finger2-1.R____tail", + "wrist.R____head" + ], + "finger3-1.L____plane": [ + "finger3-3.L____tail", + "finger3-1.L____tail", + "wrist.L____head" + ], + "finger3-1.R____plane": [ + "finger3-3.R____tail", + "finger3-1.R____tail", + "wrist.R____head" + ], + "finger3-2.L____plane": [ + "finger3-3.L____tail", + "finger3-1.L____tail", + "wrist.L____head" + ], + "finger3-2.R____plane": [ + "finger3-3.R____tail", + "finger3-1.R____tail", + "wrist.R____head" + ], + "finger3-3.L____plane": [ + "finger3-3.L____tail", + "finger3-1.L____tail", + "wrist.L____head" + ], + "finger3-3.R____plane": [ + "finger3-3.R____tail", + "finger3-1.R____tail", + "wrist.R____head" + ], + "finger4-1.L____plane": [ + "finger4-3.L____tail", + "finger4-1.L____tail", + "wrist.L____head" + ], + "finger4-1.R____plane": [ + "finger4-3.R____tail", + "finger4-1.R____tail", + "wrist.R____head" + ], + "finger4-2.L____plane": [ + "finger4-3.L____tail", + "finger4-1.L____tail", + "wrist.L____head" + ], + "finger4-2.R____plane": [ + "finger4-3.R____tail", + "finger4-1.R____tail", + "wrist.R____head" + ], + "finger4-3.L____plane": [ + "finger4-3.L____tail", + "finger4-1.L____tail", + "wrist.L____head" + ], + "finger4-3.R____plane": [ + "finger4-3.R____tail", + "finger4-1.R____tail", + "wrist.R____head" + ], + "finger5-1.L____plane": [ + "finger5-3.L____tail", + "finger5-1.L____tail", + "wrist.L____head" + ], + "finger5-1.R____plane": [ + "finger5-3.R____tail", + "finger5-1.R____tail", + "wrist.R____head" + ], + "finger5-2.L____plane": [ + "finger5-3.L____tail", + "finger5-1.L____tail", + "wrist.L____head" + ], + "finger5-2.R____plane": [ + "finger5-3.R____tail", + "finger5-1.R____tail", + "wrist.R____head" + ], + "finger5-3.L____plane": [ + "finger5-3.L____tail", + "finger5-1.L____tail", + "wrist.L____head" + ], + "finger5-3.R____plane": [ + "finger5-3.R____tail", + "finger5-1.R____tail", + "wrist.R____head" + ], + "foot.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "foot.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "head____plane": [ + "special01____tail", + "head____tail", + "head____head" + ], + "jaw____plane": [ + "neck03____tail", + "jaw____tail", + "jaw____head" + ], + "levator02.L____plane": [ + "levator03.L____tail", + "levator02.L____tail", + "levator02.L____head" + ], + "levator02.R____plane": [ + "levator03.R____tail", + "levator02.R____tail", + "levator02.R____head" + ], + "levator03.L____plane": [ + "levator03.L____tail", + "levator02.L____tail", + "levator02.L____head" + ], + "levator03.R____plane": [ + "levator03.R____tail", + "levator02.R____tail", + "levator02.R____head" + ], + "levator04.L____plane": [ + "levator04.L____tail", + "levator02.L____tail", + "levator02.L____head" + ], + "levator04.R____plane": [ + "levator04.R____tail", + "levator02.R____tail", + "levator02.R____head" + ], + "levator05.L____plane": [ + "levator05.L____tail", + "levator05.L____head", + "levator04.L____head" + ], + "levator05.R____plane": [ + "levator05.R____tail", + "levator05.R____head", + "levator04.R____head" + ], + "levator06.L____plane": [ + "levator06.L____head", + "levator06.L____tail", + "levator02.L____head" + ], + "levator06.R____plane": [ + "levator06.R____head", + "levator06.R____tail", + "levator02.R____head" + ], + "lowerarm01.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "lowerarm01.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "lowerarm02.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "lowerarm02.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "lowerleg01.L____plane": [ + "lowerleg01.L____head", + "lowerleg01.L____tail", + "foot.L____tail" + ], + "lowerleg01.R____plane": [ + "lowerleg01.R____head", + "lowerleg01.R____tail", + "foot.R____tail" + ], + "lowerleg02.L____plane": [ + "lowerleg01.L____head", + "lowerleg01.L____tail", + "foot.L____tail" + ], + "lowerleg02.R____plane": [ + "lowerleg01.R____head", + "lowerleg01.R____tail", + "foot.R____tail" + ], + "metacarpal1.L____plane": [ + "finger2-3.L____tail", + "finger2-1.L____tail", + "wrist.L____head" + ], + "metacarpal1.R____plane": [ + "finger2-3.R____tail", + "finger2-1.R____tail", + "wrist.R____head" + ], + "metacarpal2.L____plane": [ + "finger3-3.L____tail", + "finger3-1.L____tail", + "wrist.L____head" + ], + "metacarpal2.R____plane": [ + "finger3-3.R____tail", + "finger3-1.R____tail", + "wrist.R____head" + ], + "metacarpal3.L____plane": [ + "finger4-3.L____tail", + "finger4-1.L____tail", + "wrist.L____head" + ], + "metacarpal3.R____plane": [ + "finger4-3.R____tail", + "finger4-1.R____tail", + "wrist.R____head" + ], + "metacarpal4.L____plane": [ + "finger5-3.L____tail", + "finger5-1.L____tail", + "wrist.L____head" + ], + "metacarpal4.R____plane": [ + "finger5-3.R____tail", + "finger5-1.R____tail", + "wrist.R____head" + ], + "neck01____plane": [ + "special01____tail", + "special01____head", + "neck01____head" + ], + "neck02____plane": [ + "special01____tail", + "special01____head", + "neck02____head" + ], + "neck03____plane": [ + "special01____tail", + "special01____head", + "neck03____head" + ], + "oculi01.L____plane": [ + "temporalis01.L____head", + "temporalis01.L____tail", + "oculi01.L____tail" + ], + "oculi01.R____plane": [ + "temporalis01.R____head", + "temporalis01.R____tail", + "oculi01.R____tail" + ], + "oculi02.L____plane": [ + "temporalis01.L____head", + "temporalis01.L____tail", + "oculi02.L____tail" + ], + "oculi02.R____plane": [ + "temporalis01.R____head", + "temporalis01.R____tail", + "oculi02.R____tail" + ], + "orbicularis03.L____plane": [ + "orbicularis04.L____tail", + "orbicularis03.L____head", + "orbicularis03.L____tail" + ], + "orbicularis03.R____plane": [ + "orbicularis04.R____tail", + "orbicularis03.R____head", + "orbicularis03.R____tail" + ], + "orbicularis04.L____plane": [ + "orbicularis04.L____tail", + "orbicularis03.L____head", + "orbicularis03.L____tail" + ], + "orbicularis04.R____plane": [ + "orbicularis04.R____tail", + "orbicularis03.R____head", + "orbicularis03.R____tail" + ], + "oris01____plane": [ + "special04____head", + "special04____tail", + "oris01____tail" + ], + "oris02____plane": [ + "special04____head", + "special04____tail", + "oris02____tail" + ], + "oris03.L____plane": [ + "oris03.L____tail", + "oris04.L____tail", + "oris04.L____head" + ], + "oris03.R____plane": [ + "oris03.R____tail", + "oris04.R____tail", + "oris04.R____head" + ], + "oris04.L____plane": [ + "oris03.L____tail", + "oris04.L____tail", + "oris04.L____head" + ], + "oris04.R____plane": [ + "oris03.R____tail", + "oris04.R____tail", + "oris04.R____head" + ], + "oris05____plane": [ + "oris05____tail", + "special01____head", + "oris05____head" + ], + "oris06.L____plane": [ + "oris06.L____tail", + "oris06.L____head", + "special01____head" + ], + "oris06.R____plane": [ + "oris06.R____tail", + "oris06.R____head", + "special01____head" + ], + "oris06____plane": [ + "oris06____tail", + "special01____head", + "oris06____head" + ], + "oris07.L____plane": [ + "oris07.L____tail", + "oris07.L____head", + "special01____head" + ], + "oris07.R____plane": [ + "oris07.R____tail", + "oris07.R____head", + "special01____head" + ], + "pelvis.L____plane": [ + "upperleg01.L____tail", + "upperleg01.L____head", + "pelvis.L____head" + ], + "pelvis.R____plane": [ + "upperleg01.R____tail", + "upperleg01.R____head", + "pelvis.R____head" + ], + "risorius02.L____plane": [ + "temporalis02.L____head", + "temporalis02.L____tail", + "risorius02.L____tail" + ], + "risorius02.R____plane": [ + "temporalis02.R____head", + "temporalis02.R____tail", + "risorius02.R____tail" + ], + "risorius03.L____plane": [ + "risorius02.L____head", + "risorius03.L____head", + "risorius03.L____tail" + ], + "risorius03.R____plane": [ + "risorius02.R____head", + "risorius03.R____head", + "risorius03.R____tail" + ], + "root____plane": [ + "root____head", + "root____tail", + "spine05____tail" + ], + "shoulder01.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "shoulder01.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "special01____plane": [ + "special01____tail", + "special01____head", + "head____tail" + ], + "special03____plane": [ + "special03____tail", + "special03____head", + "head____tail" + ], + "special04____plane": [ + "special04____tail", + "special04____head", + "jaw____head" + ], + "special05.L____plane": [ + "special05.L____tail", + "special05.L____head", + "head____tail" + ], + "special05.R____plane": [ + "special05.R____tail", + "special05.R____head", + "head____tail" + ], + "special06.L____plane": [ + "special06.L____tail", + "special06.L____head", + "head____head" + ], + "special06.R____plane": [ + "special06.R____tail", + "special06.R____head", + "head____head" + ], + "spine01____plane": [ + "root____tail", + "spine05____tail", + "root____head" + ], + "spine02____plane": [ + "root____tail", + "spine05____tail", + "root____head" + ], + "spine03____plane": [ + "root____tail", + "spine05____tail", + "root____head" + ], + "spine04____plane": [ + "root____tail", + "spine05____tail", + "root____head" + ], + "spine05____plane": [ + "root____tail", + "spine05____tail", + "root____head" + ], + "temporalis01.L____plane": [ + "oculi02.L____tail", + "temporalis01.L____tail", + "temporalis01.L____head" + ], + "temporalis01.R____plane": [ + "oculi02.R____tail", + "temporalis01.R____tail", + "temporalis01.R____head" + ], + "temporalis02.L____plane": [ + "temporalis02.L____head", + "temporalis02.L____tail", + "risorius02.L____tail" + ], + "temporalis02.R____plane": [ + "temporalis02.R____head", + "temporalis02.R____tail", + "risorius02.R____tail" + ], + "toe1-1.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe1-1.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe1-2.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe1-2.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe2-1.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe2-1.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe2-2.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe2-2.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe2-3.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe2-3.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe3-1.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe3-1.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe3-2.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe3-2.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe3-3.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe3-3.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe4-1.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe4-1.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe4-2.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe4-2.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe4-3.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe4-3.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe5-1.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe5-1.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe5-2.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe5-2.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "toe5-3.L____plane": [ + "lowerleg02.L____head", + "foot.L____head", + "foot.L____tail" + ], + "toe5-3.R____plane": [ + "lowerleg02.R____head", + "foot.R____head", + "foot.R____tail" + ], + "tongue00____plane": [ + "special04____tail", + "special04____head", + "tongue00____tail" + ], + "tongue01____plane": [ + "tongue00____head", + "tongue01____head", + "tongue01____tail" + ], + "tongue02____plane": [ + "tongue00____head", + "tongue02____head", + "tongue02____tail" + ], + "tongue03____plane": [ + "tongue00____head", + "tongue03____head", + "tongue03____tail" + ], + "tongue04____plane": [ + "tongue00____head", + "tongue04____head", + "tongue04____tail" + ], + "tongue05.L____plane": [ + "tongue01____head", + "tongue01____tail", + "tongue05.L____tail" + ], + "tongue05.R____plane": [ + "tongue01____head", + "tongue01____tail", + "tongue05.R____tail" + ], + "tongue06.L____plane": [ + "tongue02____head", + "tongue02____tail", + "tongue06.L____tail" + ], + "tongue06.R____plane": [ + "tongue02____head", + "tongue02____tail", + "tongue06.R____tail" + ], + "tongue07.L____plane": [ + "tongue03____head", + "tongue03____tail", + "tongue07.L____tail" + ], + "tongue07.R____plane": [ + "tongue03____head", + "tongue03____tail", + "tongue07.R____tail" + ], + "upperarm01.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "upperarm01.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "upperarm02.L____plane": [ + "lowerarm01.L____tail", + "lowerarm01.L____head", + "upperarm02.L____head" + ], + "upperarm02.R____plane": [ + "lowerarm01.R____tail", + "lowerarm01.R____head", + "upperarm02.R____head" + ], + "upperleg01.L____plane": [ + "upperleg01.L____head", + "foot.L____head", + "foot.L____tail" + ], + "upperleg01.R____plane": [ + "upperleg01.R____head", + "foot.R____head", + "foot.R____tail" + ], + "upperleg02.L____plane": [ + "upperleg01.L____head", + "foot.L____head", + "foot.L____tail" + ], + "upperleg02.R____plane": [ + "upperleg01.R____head", + "foot.R____head", + "foot.R____tail" + ], + "wrist.L____plane": [ + "finger2-1.L____head", + "finger5-1.L____head", + "wrist.L____head" + ], + "wrist.R____plane": [ + "finger2-1.R____head", + "finger5-1.R____head", + "wrist.R____head" + ] + }, + "version": 110, + "tags": ["facial bones", "detailed hands", "detailed feet", "MakeHuman™"], + "weights_file": "default_weights.mhw" +} diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mh/default_weights.mhw b/third_party/UO_Model3D_v13/pipeline/body13/mh/default_weights.mhw new file mode 100644 index 0000000..6618580 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mh/default_weights.mhw @@ -0,0 +1,14613 @@ +{ +"copyright": "(c) 2021 Data Collection AB, Joel Palmius, Jonas Hauquier", +"description": "Symmetric weights for default makehuman mesh", +"license": "CC0", +"name": "MakeHuman weights", +"version": 110, +"weights": { + "breast.L": [ + [1399, 0.016], [1400, 0.018], [1401, 0.022], [1402, 0.027], + [1472, 0.034], [1524, 0.006], [1526, 0.009], [1528, 0.013], + [1890, 0.044], [1891, 0.028], [1892, 0.013], [1893, 0.006], + [7509, 0.002], [7511, 0.008], [7514, 0.004], [7515, 0.001], + [7516, 0.004], [7518, 0.001], [7519, 0.008], [7520, 0.002], + [7521, 0.002], [7523, 0.002], [7524, 0.015], [7525, 0.004], + [7526, 0.001], [7729, 0.001], [8052, 0.074], [8053, 0.135], + [8054, 0.2], [8055, 0.264], [8056, 0.312], [8062, 0.006], + [8063, 0.157], [8064, 0.218], [8065, 0.278], [8066, 0.319], + [8067, 0.009], [8070, 0.037], [8071, 0.06], [8072, 0.105], + [8073, 0.19], [8074, 0.243], [8075, 0.297], [8076, 0.352], + [8077, 0.012], [8080, 0.047], [8081, 0.108], [8082, 0.173], + [8083, 0.22], [8084, 0.261], [8085, 0.301], [8086, 0.356], + [8087, 0.015], [8090, 0.056], [8091, 0.091], [8097, 0.018], + [8098, 0.098], [8099, 0.108], [8100, 0.117], [8101, 0.131], + [8108, 0.073], [8109, 0.049], [8110, 0.026], [8111, 0.022], + [8123, 0.042], [8124, 0.096], [8125, 0.158], [8126, 0.22], + [8127, 0.275], [8134, 0.111], [8135, 0.086], [8136, 0.061], + [8137, 0.065], [8148, 0.054], [8149, 0.03], [8150, 0.007], + [8158, 0.09], [8159, 0.067], [8160, 0.053], [8161, 0.035], + [8162, 0.044], [8163, 0.036], [8186, 0.032], [8190, 0.062], + [8191, 0.069], [8192, 0.048], [8193, 0.065], [8194, 0.015], + [8195, 0.027], [8197, 0.045], [8198, 0.024], [8199, 0.075], + [8200, 0.048], [8201, 0.011], [8205, 0.008], [8206, 0.012], + [8207, 0.018], [8208, 0.025], [8209, 0.084], [8210, 0.1], + [8211, 0.123], [8212, 0.236], [8213, 0.194], [8214, 0.165], + [8215, 0.137], [8216, 0.115], [8294, 0.004], [8295, 0.008], + [8305, 0.019], [8306, 0.021], [8337, 0.016], [8349, 0.108], + [8350, 0.019], [8354, 0.176], [8355, 0.164], [8356, 0.136], + [8362, 0.001], [8434, 0.641], [8435, 0.639], [8436, 0.636], + [8437, 0.637], [8438, 0.638], [8439, 0.642], [8440, 0.653], + [8441, 0.661], [8442, 0.673], [8443, 0.677], [8444, 0.673], + [8445, 0.667], [8446, 0.661], [8447, 0.655], [8448, 0.649], + [8449, 0.644], [8450, 0.651], [8451, 0.651], [8452, 0.651], + [8453, 0.653], [8454, 0.655], [8455, 0.659], [8456, 0.667], + [8457, 0.671], [8458, 0.674], [8459, 0.669], [8460, 0.668], + [8461, 0.665], [8462, 0.662], [8463, 0.659], [8464, 0.656], + [8465, 0.654], [8466, 0.611], [8467, 0.61], [8468, 0.613], + [8469, 0.617], [8470, 0.621], [8471, 0.627], [8472, 0.632], + [8473, 0.653], [8474, 0.648], [8475, 0.642], [8476, 0.665], + [8477, 0.656], [8478, 0.647], [8479, 0.637], [8480, 0.628], + [8481, 0.614], [8482, 0.572], [8483, 0.579], [8484, 0.58], + [8485, 0.582], [8486, 0.585], [8487, 0.588], [8488, 0.62], + [8489, 0.617], [8490, 0.601], [8491, 0.586], [8492, 0.619], + [8493, 0.613], [8494, 0.606], [8495, 0.599], [8496, 0.591], + [8497, 0.572], [8498, 0.486], [8499, 0.481], [8500, 0.456], + [8501, 0.406], [8502, 0.356], [8503, 0.279], [8504, 0.377], + [8505, 0.408], [8506, 0.395], [8507, 0.463], [8508, 0.501], + [8509, 0.471], [8510, 0.464], [8511, 0.457], [8512, 0.472], + [8513, 0.485], [8514, 0.449], [8515, 0.459], [8516, 0.383], + [8517, 0.308], [8518, 0.233], [8519, 0.159], [8520, 0.199], + [8521, 0.245], [8522, 0.263], [8523, 0.309], [8524, 0.284], + [8525, 0.325], [8526, 0.346], [8527, 0.367], [8528, 0.368], + [8529, 0.414], [8530, 0.409], [8531, 0.419], [8532, 0.292], + [8533, 0.155], [8534, 0.113], [8535, 0.05], [8536, 0.083], + [8537, 0.133], [8538, 0.149], [8539, 0.167], [8540, 0.132], + [8541, 0.13], [8542, 0.17], [8543, 0.289], [8544, 0.318], + [8545, 0.366], [8546, 0.528], [8547, 0.545], [8548, 0.51], + [8549, 0.448], [8550, 0.523], [8551, 0.549], [8552, 0.533], + [8553, 0.543], [8554, 0.486], [8555, 0.508], [8556, 0.531], + [8557, 0.542], [8558, 0.508], [8559, 0.519], [8560, 0.541], + [8561, 0.457], [8562, 0.088], [8563, 0.056], [8564, 0.025], + [8565, 0.012], [10355, 0.017], [10418, 0.028], [10419, 0.036], + [10420, 0.03], [10421, 0.023], [10588, 0.059], [10589, 0.027], + [10590, 0.037], [10601, 0.023], [10614, 0.023], [10627, 0.015], + [10719, 0.146], [10720, 0.072], [10721, 0.047], [10722, 0.03], + [10723, 0.045], [10724, 0.036], [10725, 0.028], [10731, 0.004], + [10743, 0.007], [10744, 0.022], [10748, 0.04], [16863, 0.048], + [16865, 0.102], [16866, 0.14], [16869, 0.016], [16870, 0.041], + [16872, 0.11], [16873, 0.151], [16876, 0.037], [16877, 0.075], + [16879, 0.123], [16880, 0.162], [16883, 0.05], [16884, 0.083], + [16885, 0.112], [16886, 0.137], [16901, 0.042], [16903, 0.083], + [16904, 0.113], [16908, 0.041], [16910, 0.047], [16911, 0.042], + [16912, 0.005], [16917, 0.012], [16918, 0.01], [16919, 0.008], + [16924, 0.127], [16954, 0.005], [16955, 0.008], [16963, 0.026], + [16964, 0.018], [16987, 0.004], [16998, 0.048], [17000, 0.073], + [17001, 0.066], [17044, 0.003], [17045, 0.007], [17046, 0.118], + [17047, 0.027], [17048, 0.198], [17049, 0.167], [17050, 0.014], + [17051, 0.001], [17052, 0.031], [17053, 0.068], [17054, 0.082], + [17055, 0.065], [17056, 0.037], [17057, 0.136], [17058, 0.131], + [17059, 0.159], [17060, 0.183], [17061, 0.004], [17063, 0.04], + [17076, 0.017], [17085, 0.179], [17089, 0.224], [17098, 0.206], + [17109, 0.171], [17120, 0.065], [17132, 0.135], [17165, 0.031], + [17188, 0.014], [17193, 0.022], [17194, 0.016], [17195, 0.013], + [17196, 0.002], [17261, 0.04], [17267, 0.002], [17268, 0.014], + [17270, 0.003], [17317, 0.079], [17318, 0.02], [17319, 0.005], + [17320, 0.012], [17321, 0.011], [17322, 0.01], [17328, 0.001], + [17334, 0.002], [17335, 0.006], [17339, 0.013], [17763, 0.004], + [17764, 0.016], [17777, 0.002], [17778, 0.014], [17779, 0.212], + [17780, 0.284], [17781, 0.241], [17782, 0.282], [17784, 0.003], + [17786, 0.075], [17787, 0.275], [17788, 0.304], [17789, 0.024], + [17790, 0.145], [17796, 0.25], [17797, 0.018], [17799, 0.234], + [17800, 0.269], [17801, 0.259], [17802, 0.205], [17803, 0.018], + [17804, 0.008], [17805, 0.185], [17806, 0.297], [17807, 0.329], + [17808, 0.293], [17809, 0.023], [17810, 0.032], [17811, 0.06], + [17812, 0.045], [17813, 0.077], [17814, 0.007], [17815, 0.072], + [17816, 0.016], [17822, 0.029], [17823, 0.09], [17825, 0.096], + [17826, 0.069], [17863, 0.019], [17864, 0.012], [17872, 0.021], + [17873, 0.196], [17874, 0.24], [17875, 0.242], [17876, 0.202], + [17877, 0.045], [17878, 0.115], [17880, 0.087], [17913, 0.024], + [17915, 0.006], [17916, 0.011], [17921, 0.003], [17926, 0.002], + [17931, 0.002], [17936, 0.001], [18774, 0.041], [18775, 0.021], + [18776, 0.077], [18777, 0.052], [18778, 0.1], [18779, 0.109], + [18780, 0.161], [18781, 0.376], [18782, 0.125], [18783, 0.575], + [18785, 0.472], [18828, 0.188], [18829, 0.153], [18830, 0.382], + [18831, 0.32], [18832, 0.562], [18833, 0.3], [18834, 0.442], + [18835, 0.533], [18837, 0.008], [18988, 0.041], [18989, 0.021], + [18990, 0.077], [18991, 0.052], [19042, 0.188], [19043, 0.153] + ], + "breast.R": [ + [794, 0.002], [796, 0.008], [800, 0.004], [801, 0.001], + [802, 0.004], [805, 0.001], [806, 0.008], [807, 0.002], + [808, 0.002], [811, 0.002], [812, 0.015], [813, 0.004], + [814, 0.001], [1037, 0.001], [1360, 0.074], [1361, 0.135], + [1362, 0.2], [1363, 0.264], [1364, 0.312], [1370, 0.006], + [1371, 0.157], [1372, 0.218], [1373, 0.278], [1374, 0.319], + [1375, 0.009], [1378, 0.037], [1379, 0.06], [1380, 0.105], + [1381, 0.19], [1382, 0.243], [1383, 0.297], [1384, 0.352], + [1385, 0.012], [1388, 0.047], [1389, 0.108], [1390, 0.173], + [1391, 0.22], [1392, 0.261], [1393, 0.301], [1394, 0.356], + [1395, 0.015], [1398, 0.056], [1399, 0.016], [1400, 0.018], + [1401, 0.022], [1402, 0.027], [1403, 0.091], [1409, 0.018], + [1410, 0.098], [1411, 0.108], [1412, 0.117], [1413, 0.131], + [1420, 0.073], [1421, 0.049], [1422, 0.026], [1423, 0.022], + [1435, 0.042], [1436, 0.096], [1437, 0.158], [1438, 0.22], + [1439, 0.275], [1446, 0.111], [1447, 0.086], [1448, 0.061], + [1449, 0.065], [1460, 0.054], [1461, 0.03], [1462, 0.007], + [1471, 0.09], [1472, 0.034], [1473, 0.067], [1474, 0.053], + [1475, 0.035], [1476, 0.044], [1477, 0.036], [1502, 0.032], + [1506, 0.062], [1507, 0.069], [1508, 0.048], [1509, 0.065], + [1510, 0.015], [1511, 0.027], [1513, 0.045], [1514, 0.024], + [1515, 0.075], [1516, 0.048], [1517, 0.011], [1521, 0.008], + [1523, 0.012], [1524, 0.006], [1525, 0.018], [1526, 0.009], + [1527, 0.025], [1528, 0.013], [1529, 0.084], [1530, 0.1], + [1531, 0.123], [1532, 0.236], [1533, 0.194], [1534, 0.165], + [1535, 0.137], [1536, 0.115], [1622, 0.004], [1623, 0.008], + [1633, 0.019], [1634, 0.021], [1665, 0.016], [1677, 0.108], + [1678, 0.019], [1682, 0.176], [1683, 0.164], [1684, 0.136], + [1690, 0.001], [1762, 0.641], [1763, 0.639], [1764, 0.636], + [1765, 0.637], [1766, 0.638], [1767, 0.642], [1768, 0.653], + [1769, 0.661], [1770, 0.673], [1771, 0.677], [1772, 0.673], + [1773, 0.667], [1774, 0.661], [1775, 0.655], [1776, 0.649], + [1777, 0.644], [1778, 0.651], [1779, 0.651], [1780, 0.651], + [1781, 0.653], [1782, 0.655], [1783, 0.659], [1784, 0.667], + [1785, 0.671], [1786, 0.674], [1787, 0.669], [1788, 0.668], + [1789, 0.665], [1790, 0.662], [1791, 0.659], [1792, 0.656], + [1793, 0.654], [1794, 0.611], [1795, 0.61], [1796, 0.613], + [1797, 0.617], [1798, 0.621], [1799, 0.627], [1800, 0.632], + [1801, 0.653], [1802, 0.648], [1803, 0.642], [1804, 0.665], + [1805, 0.656], [1806, 0.647], [1807, 0.637], [1808, 0.628], + [1809, 0.614], [1810, 0.572], [1811, 0.579], [1812, 0.58], + [1813, 0.582], [1814, 0.585], [1815, 0.588], [1816, 0.62], + [1817, 0.617], [1818, 0.601], [1819, 0.586], [1820, 0.619], + [1821, 0.613], [1822, 0.606], [1823, 0.599], [1824, 0.591], + [1825, 0.572], [1826, 0.486], [1827, 0.481], [1828, 0.456], + [1829, 0.406], [1830, 0.356], [1831, 0.279], [1832, 0.377], + [1833, 0.408], [1834, 0.395], [1835, 0.463], [1836, 0.501], + [1837, 0.471], [1838, 0.464], [1839, 0.457], [1840, 0.472], + [1841, 0.485], [1842, 0.449], [1843, 0.459], [1844, 0.383], + [1845, 0.308], [1846, 0.233], [1847, 0.159], [1848, 0.199], + [1849, 0.245], [1850, 0.263], [1851, 0.309], [1852, 0.284], + [1853, 0.325], [1854, 0.346], [1855, 0.367], [1856, 0.368], + [1857, 0.414], [1858, 0.409], [1859, 0.419], [1860, 0.292], + [1861, 0.155], [1862, 0.113], [1863, 0.05], [1864, 0.083], + [1865, 0.133], [1866, 0.149], [1867, 0.167], [1868, 0.132], + [1869, 0.13], [1870, 0.17], [1871, 0.289], [1872, 0.318], + [1873, 0.366], [1874, 0.528], [1875, 0.545], [1876, 0.51], + [1877, 0.448], [1878, 0.523], [1879, 0.549], [1880, 0.533], + [1881, 0.543], [1882, 0.486], [1883, 0.508], [1884, 0.531], + [1885, 0.542], [1886, 0.508], [1887, 0.519], [1888, 0.541], + [1889, 0.457], [1890, 0.044], [1891, 0.028], [1892, 0.013], + [1893, 0.006], [1894, 0.088], [1895, 0.056], [1896, 0.025], + [1897, 0.012], [3687, 0.017], [3751, 0.028], [3752, 0.036], + [3753, 0.03], [3754, 0.023], [3923, 0.059], [3924, 0.027], + [3925, 0.037], [3937, 0.023], [3951, 0.023], [3965, 0.015], + [4064, 0.146], [4065, 0.072], [4066, 0.047], [4067, 0.03], + [4068, 0.045], [4072, 0.036], [4073, 0.028], [4079, 0.004], + [4092, 0.007], [4094, 0.022], [4098, 0.04], [15559, 0.048], + [15561, 0.102], [15562, 0.14], [15565, 0.016], [15566, 0.041], + [15568, 0.11], [15569, 0.151], [15572, 0.037], [15573, 0.075], + [15575, 0.123], [15576, 0.162], [15579, 0.05], [15580, 0.083], + [15581, 0.112], [15582, 0.137], [15597, 0.042], [15599, 0.083], + [15600, 0.113], [15604, 0.041], [15606, 0.047], [15607, 0.042], + [15615, 0.127], [15642, 0.005], [15643, 0.008], [15651, 0.026], + [15652, 0.018], [15675, 0.004], [15686, 0.048], [15688, 0.073], + [15689, 0.066], [15731, 0.003], [15732, 0.007], [15733, 0.118], + [15734, 0.027], [15735, 0.198], [15736, 0.167], [15737, 0.031], + [15738, 0.068], [15739, 0.082], [15740, 0.065], [15741, 0.037], + [15742, 0.136], [15743, 0.131], [15744, 0.159], [15745, 0.183], + [15747, 0.04], [15768, 0.179], [15772, 0.224], [15781, 0.206], + [15792, 0.171], [15803, 0.065], [15815, 0.135], [15848, 0.031], + [15871, 0.014], [15876, 0.022], [15877, 0.016], [15878, 0.013], + [15879, 0.002], [15942, 0.04], [15947, 0.002], [15948, 0.014], + [15950, 0.003], [15995, 0.079], [15996, 0.02], [15997, 0.005], + [15998, 0.012], [15999, 0.011], [16000, 0.01], [16004, 0.001], + [16009, 0.002], [16010, 0.006], [16014, 0.013], [16434, 0.016], + [16446, 0.002], [16447, 0.212], [16448, 0.284], [16449, 0.241], + [16450, 0.282], [16452, 0.003], [16454, 0.075], [16455, 0.275], + [16456, 0.304], [16457, 0.024], [16458, 0.145], [16464, 0.25], + [16465, 0.018], [16467, 0.234], [16468, 0.269], [16469, 0.259], + [16470, 0.205], [16471, 0.185], [16472, 0.297], [16473, 0.329], + [16474, 0.293], [16475, 0.023], [16476, 0.032], [16477, 0.06], + [16478, 0.045], [16479, 0.077], [16480, 0.007], [16481, 0.072], + [16482, 0.016], [16488, 0.029], [16489, 0.09], [16491, 0.096], + [16492, 0.069], [16529, 0.019], [16530, 0.012], [16537, 0.196], + [16538, 0.24], [16539, 0.242], [16540, 0.202], [16541, 0.045], + [16542, 0.115], [16544, 0.087], [16571, 0.024], [16573, 0.006], + [16574, 0.011], [16578, 0.003], [16582, 0.002], [16586, 0.002], + [16590, 0.001], [16912, 0.005], [16917, 0.012], [16918, 0.01], + [16919, 0.008], [17050, 0.014], [17051, 0.001], [17061, 0.004], + [17076, 0.017], [17763, 0.004], [17778, 0.014], [17803, 0.018], + [17804, 0.008], [17872, 0.021], [18774, 0.041], [18775, 0.021], + [18776, 0.077], [18777, 0.052], [18828, 0.188], [18829, 0.153], + [18988, 0.041], [18989, 0.021], [18990, 0.077], [18991, 0.052], + [18992, 0.1], [18993, 0.109], [18994, 0.161], [18995, 0.376], + [18996, 0.125], [18997, 0.575], [18999, 0.472], [19042, 0.188], + [19043, 0.153], [19044, 0.382], [19045, 0.32], [19046, 0.562], + [19047, 0.3], [19048, 0.442], [19049, 0.533], [19051, 0.008] + ], + "clavicle.L": [ + [787, 0.002], [791, 0.003], [797, 0.006], [803, 0.011], + [809, 0.018], [815, 0.031], [1399, 0.063], [1400, 0.063], + [1401, 0.05], [1402, 0.037], [1467, 0.002], [1472, 0.021], + [1522, 0.043], [1524, 0.056], [1526, 0.06], [1528, 0.062], + [1539, 0.005], [1550, 0.007], [1595, 0.006], [1596, 0.002], + [1890, 0.007], [1891, 0.003], [7468, 0.009], [7469, 0.005], + [7470, 0.018], [7471, 0.01], [7472, 0.032], [7473, 0.018], + [7474, 0.054], [7475, 0.033], [7476, 0.089], [7477, 0.06], + [7478, 0.147], [7479, 0.107], [7482, 0.013], [7483, 0.012], + [7484, 0.025], [7485, 0.024], [7486, 0.044], [7487, 0.043], + [7488, 0.073], [7489, 0.071], [7490, 0.116], [7491, 0.111], + [7492, 0.183], [7493, 0.174], [7495, 0.042], [7496, 0.07], + [7497, 0.111], [7498, 0.18], [7502, 0.003], [7503, 0.005], + [7504, 0.01], [7505, 0.007], [7506, 0.01], [7507, 0.021], + [7508, 0.012], [7509, 0.029], [7510, 0.017], [7511, 0.101], + [7512, 0.037], [7513, 0.021], [7514, 0.049], [7515, 0.029], + [7516, 0.064], [7517, 0.062], [7518, 0.036], [7519, 0.082], + [7520, 0.047], [7521, 0.041], [7522, 0.1], [7523, 0.062], + [7524, 0.138], [7525, 0.076], [7526, 0.024], [7527, 0.162], + [7528, 0.009], [7529, 0.017], [7530, 0.03], [7531, 0.048], + [7532, 0.072], [7533, 0.108], [7534, 0.009], [7535, 0.018], + [7536, 0.031], [7537, 0.049], [7538, 0.073], [7539, 0.108], + [7540, 0.008], [7541, 0.016], [7542, 0.027], [7543, 0.042], + [7544, 0.061], [7545, 0.088], [7546, 0.007], [7547, 0.013], + [7548, 0.023], [7549, 0.037], [7550, 0.054], [7551, 0.078], + [7552, 0.002], [7553, 0.005], [7554, 0.009], [7555, 0.015], + [7556, 0.026], [7557, 0.044], [7560, 0.002], [7561, 0.003], + [7562, 0.007], [7563, 0.013], [7588, 0.002], [7589, 0.004], + [7590, 0.003], [7591, 0.001], [7626, 0.008], [7627, 0.007], + [7630, 0.043], [7631, 0.071], [7632, 0.112], [7633, 0.179], + [7725, 0.012], [7726, 0.012], [7727, 0.024], [7728, 0.024], + [7729, 0.016], [7730, 0.014], [8047, 0.04], [8048, 0.035], + [8049, 0.05], [8050, 0.097], [8051, 0.125], [8052, 0.125], + [8053, 0.085], [8054, 0.06], [8055, 0.035], [8056, 0.021], + [8057, 0.069], [8058, 0.049], [8059, 0.047], [8060, 0.124], + [8061, 0.141], [8062, 0.159], [8063, 0.093], [8064, 0.073], + [8065, 0.053], [8066, 0.04], [8067, 0.146], [8068, 0.132], + [8069, 0.091], [8070, 0.175], [8071, 0.192], [8072, 0.158], + [8073, 0.119], [8074, 0.101], [8075, 0.084], [8076, 0.075], + [8077, 0.192], [8078, 0.177], [8079, 0.144], [8080, 0.216], + [8081, 0.224], [8082, 0.214], [8083, 0.171], [8084, 0.148], + [8085, 0.125], [8086, 0.104], [8087, 0.236], [8088, 0.222], + [8089, 0.197], [8090, 0.257], [8091, 0.266], [8118, 0.01], + [8119, 0.015], [8120, 0.027], [8121, 0.059], [8122, 0.08], + [8123, 0.072], [8124, 0.05], [8125, 0.035], [8126, 0.02], + [8127, 0.011], [8138, 0.024], [8139, 0.071], [8140, 0.127], + [8141, 0.162], [8142, 0.198], [8146, 0.009], [8148, 0.23], + [8149, 0.157], [8150, 0.258], [8151, 0.257], [8152, 0.256], + [8153, 0.074], [8154, 0.005], [8155, 0.161], [8156, 0.2], + [8157, 0.215], [8158, 0.216], [8159, 0.041], [8160, 0.074], + [8161, 0.171], [8162, 0.1], [8163, 0.125], [8164, 0.207], + [8165, 0.202], [8166, 0.189], [8167, 0.195], [8168, 0.205], + [8169, 0.238], [8170, 0.218], [8171, 0.206], [8172, 0.212], + [8173, 0.201], [8174, 0.197], [8175, 0.175], [8176, 0.112], + [8177, 0.001], [8178, 0.024], [8179, 0.002], [8181, 0.045], + [8182, 0.104], [8183, 0.131], [8184, 0.145], [8185, 0.178], + [8186, 0.126], [8187, 0.172], [8188, 0.174], [8189, 0.219], + [8190, 0.174], [8191, 0.166], [8192, 0.173], [8193, 0.219], + [8194, 0.113], [8195, 0.247], [8196, 0.241], [8197, 0.278], + [8198, 0.151], [8199, 0.278], [8200, 0.207], [8201, 0.261], + [8202, 0.245], [8203, 0.241], [8204, 0.223], [8205, 0.085], + [8206, 0.111], [8207, 0.118], [8208, 0.122], [8209, 0.138], + [8210, 0.11], [8211, 0.069], [8212, 0.097], [8213, 0.135], + [8214, 0.16], [8215, 0.185], [8216, 0.213], [8217, 0.121], + [8218, 0.01], [8219, 0.17], [8220, 0.181], [8221, 0.182], + [8222, 0.188], [8223, 0.189], [8224, 0.162], [8225, 0.156], + [8226, 0.143], [8227, 0.169], [8228, 0.015], [8229, 0.179], + [8230, 0.163], [8231, 0.148], [8232, 0.168], [8233, 0.176], + [8234, 0.135], [8235, 0.118], [8236, 0.08], [8237, 0.087], + [8238, 0.038], [8243, 0.1], [8244, 0.017], [8249, 0.103], + [8250, 0.03], [8255, 0.094], [8256, 0.022], [8261, 0.123], + [8262, 0.023], [8263, 0.002], [8267, 0.012], [8268, 0.005], + [8273, 0.137], [8274, 0.072], [8275, 0.071], [8276, 0.057], + [8277, 0.092], [8278, 0.1], [8279, 0.081], [8280, 0.048], + [8281, 0.058], [8282, 0.024], [8287, 0.075], [8288, 0.115], + [8289, 0.065], [8290, 0.03], [8291, 0.03], [8297, 0.099], + [8298, 0.063], [8299, 0.021], [8307, 0.043], [8308, 0.028], + [8309, 0.011], [8316, 0.026], [8317, 0.014], [8341, 0.041], + [8342, 0.011], [8343, 0.1], [8344, 0.061], [8346, 0.001], + [8349, 0.021], [8350, 0.024], [8351, 0.011], [8352, 0.006], + [8355, 0.006], [8356, 0.014], [8434, 0.001], [8435, 0.001], + [8466, 0.01], [8467, 0.012], [8468, 0.009], [8469, 0.006], + [8470, 0.003], [8481, 0.007], [8482, 0.018], [8483, 0.023], + [8484, 0.019], [8485, 0.014], [8486, 0.008], [8497, 0.011], + [8498, 0.049], [8499, 0.07], [8500, 0.058], [8501, 0.04], + [8502, 0.023], [8510, 0.002], [8511, 0.005], [8512, 0.01], + [8513, 0.027], [8514, 0.058], [8515, 0.074], [8516, 0.058], + [8517, 0.039], [8518, 0.02], [8526, 0.003], [8527, 0.005], + [8528, 0.01], [8529, 0.031], [8530, 0.066], [8531, 0.081], + [8532, 0.051], [8533, 0.032], [8534, 0.014], [8542, 0.002], + [8543, 0.007], [8544, 0.013], [8545, 0.034], [8546, 0.017], + [8550, 0.033], [8552, 0.045], [8555, 0.015], [8556, 0.037], + [8559, 0.026], [8562, 0.014], [8563, 0.007], [10355, 0.253], + [10356, 0.171], [10357, 0.106], [10358, 0.067], [10359, 0.04], + [10360, 0.023], [10361, 0.011], [10418, 0.27], [10419, 0.246], + [10420, 0.205], [10421, 0.161], [10422, 0.097], [10423, 0.073], + [10424, 0.043], [10425, 0.004], [14062, 1.0], [14063, 1.0], + [14064, 1.0], [14065, 1.0], [14066, 1.0], [14067, 1.0], + [14068, 1.0], [14069, 1.0], [16860, 0.044], [16861, 0.041], + [16862, 0.065], [16863, 0.056], [16865, 0.032], [16866, 0.018], + [16867, 0.081], [16868, 0.072], [16869, 0.083], [16870, 0.068], + [16872, 0.038], [16873, 0.025], [16874, 0.103], [16875, 0.09], + [16876, 0.103], [16877, 0.079], [16879, 0.054], [16880, 0.042], + [16881, 0.115], [16882, 0.105], [16883, 0.115], [16884, 0.1], + [16885, 0.076], [16886, 0.061], [16898, 0.017], [16899, 0.019], + [16900, 0.05], [16901, 0.034], [16903, 0.016], [16904, 0.009], + [16912, 0.03], [16917, 0.022], [16918, 0.028], [16919, 0.031], + [16920, 0.091], [16921, 0.102], [16922, 0.1], [16923, 0.108], + [16925, 0.083], [16926, 0.095], [16927, 0.09], [16928, 0.095], + [16929, 0.024], [16932, 0.035], [16935, 0.05], [16938, 0.023], + [16941, 0.001], [16944, 0.065], [16945, 0.08], [16946, 0.072], + [16947, 0.064], [16948, 0.049], [16949, 0.048], [16950, 0.045], + [16951, 0.034], [16953, 0.015], [16956, 0.029], [16957, 0.05], + [16958, 0.04], [16959, 0.024], [16960, 0.002], [16965, 0.016], + [16966, 0.02], [16967, 0.008], [16973, 0.005], [16974, 0.006], + [16991, 0.025], [16992, 0.009], [16993, 0.048], [16994, 0.019], + [16995, 0.002], [16996, 0.002], [16998, 0.009], [16999, 0.005], + [17000, 0.002], [17001, 0.005], [17046, 0.001], [17048, 0.035], + [17049, 0.045], [17050, 0.015], [17058, 0.005], [17059, 0.01], + [17060, 0.02], [17061, 0.029], [17062, 0.114], [17063, 0.129], + [17064, 0.123], [17076, 0.009], [17085, 0.031], [17089, 0.033], + [17098, 0.017], [17109, 0.005], [17132, 0.003], [17193, 0.128], + [17194, 0.108], [17195, 0.086], [17196, 0.052], [17197, 0.036], + [17198, 0.004], [17228, 0.002], [17764, 0.134], [17765, 0.003], + [17766, 0.073], [17767, 0.087], [17768, 0.105], [17769, 0.101], + [17770, 0.103], [17771, 0.103], [17778, 0.002], [17779, 0.016], + [17780, 0.012], [17788, 0.004], [17799, 0.002], [17800, 0.009], + [17801, 0.025], [17802, 0.024], [17803, 0.002], [17805, 0.007], + [17806, 0.003], [17809, 0.086], [17810, 0.086], [17811, 0.06], + [17812, 0.074], [17813, 0.027], [17815, 0.043], [17816, 0.084], + [17823, 0.01], [17824, 0.003], [17825, 0.014], [17826, 0.004], + [17827, 0.006], [17872, 0.005], [17873, 0.029], [17874, 0.031], + [17875, 0.014], [17876, 0.004], [17878, 0.002], [17880, 0.016], + [17882, 0.003], [17883, 0.064], [17884, 0.086], [17885, 0.091], + [17886, 0.098], [17887, 0.005], [17888, 0.001], [17889, 0.03], + [17890, 0.071], [17891, 0.064], [17892, 0.068], [17893, 0.002], + [17895, 0.012], [17896, 0.034], [17897, 0.042], [17898, 0.039], + [17901, 0.004], [17902, 0.018], [17903, 0.032], [17904, 0.029], + [17907, 0.003], [17908, 0.014], [17909, 0.027], [17910, 0.025], + [17912, 0.019], [17913, 0.124], [17914, 0.128], [17915, 0.129], + [17916, 0.068], [17917, 0.013], [17918, 0.082], [17919, 0.101], + [17920, 0.1], [17921, 0.044], [17922, 0.008], [17923, 0.053], + [17924, 0.073], [17925, 0.065], [17926, 0.031], [17927, 0.005], + [17928, 0.037], [17929, 0.042], [17930, 0.047], [17931, 0.022], + [17932, 0.003], [17933, 0.03], [17934, 0.027], [17935, 0.034], + [17936, 0.016], [17937, 0.116], [17938, 0.087], [17939, 0.09], + [17940, 0.084], [17941, 0.062], [17942, 0.067], [17943, 0.052], + [17944, 0.044], [17945, 0.048], [17946, 0.026], [17947, 0.035], + [17948, 0.035], [17949, 0.023], [17950, 0.029], [17951, 0.03], + [18774, 0.19], [18775, 0.165], [18776, 0.308], [18777, 0.276], + [18778, 0.243], [18779, 0.198], [18780, 0.072], [18781, 0.032], + [18820, 0.004], [18821, 0.074], [18822, 0.009], [18823, 0.152], + [18824, 0.101], [18825, 0.168], [18826, 0.191], [18827, 0.176], + [18828, 0.1], [18829, 0.096], [18830, 0.03], [18831, 0.024], + [18854, 0.091], [18855, 0.036], [18856, 0.221], [18857, 0.081], + [18858, 0.159], [18859, 0.064], [18860, 0.025], [18861, 0.007], + [18918, 0.04], [18920, 0.08], [18922, 0.061], [18924, 0.006], + [18988, 0.19], [18989, 0.165], [18990, 0.308], [18991, 0.276], + [19034, 0.004], [19035, 0.074], [19036, 0.009], [19037, 0.152], + [19038, 0.101], [19039, 0.168], [19040, 0.191], [19041, 0.176], + [19042, 0.1], [19043, 0.096], [19068, 0.091], [19069, 0.036], + [19070, 0.221], [19071, 0.081], [19132, 0.04], [19134, 0.08] + ], + "clavicle.R": [ + [749, 0.009], [750, 0.005], [751, 0.018], [752, 0.01], + [753, 0.032], [754, 0.018], [755, 0.054], [756, 0.033], + [757, 0.089], [758, 0.06], [759, 0.147], [760, 0.107], + [763, 0.013], [764, 0.012], [765, 0.025], [766, 0.024], + [767, 0.044], [768, 0.043], [769, 0.073], [770, 0.071], + [771, 0.116], [772, 0.111], [773, 0.183], [774, 0.174], + [776, 0.042], [777, 0.07], [778, 0.111], [779, 0.18], + [785, 0.003], [786, 0.005], [787, 0.002], [788, 0.01], + [789, 0.007], [790, 0.01], [791, 0.003], [792, 0.021], + [793, 0.012], [794, 0.029], [795, 0.017], [796, 0.101], + [797, 0.006], [798, 0.037], [799, 0.021], [800, 0.049], + [801, 0.029], [802, 0.064], [803, 0.011], [804, 0.062], + [805, 0.036], [806, 0.082], [807, 0.047], [808, 0.041], + [809, 0.018], [810, 0.1], [811, 0.062], [812, 0.138], + [813, 0.076], [814, 0.024], [815, 0.031], [816, 0.162], + [817, 0.009], [818, 0.017], [819, 0.03], [820, 0.048], + [821, 0.072], [822, 0.108], [823, 0.009], [824, 0.018], + [825, 0.031], [826, 0.049], [827, 0.073], [828, 0.108], + [829, 0.008], [830, 0.016], [831, 0.027], [832, 0.042], + [833, 0.061], [834, 0.088], [835, 0.007], [836, 0.013], + [837, 0.023], [838, 0.037], [839, 0.054], [840, 0.078], + [841, 0.002], [842, 0.005], [843, 0.009], [844, 0.015], + [845, 0.026], [846, 0.044], [849, 0.002], [850, 0.003], + [851, 0.007], [852, 0.013], [886, 0.002], [887, 0.004], + [888, 0.003], [889, 0.001], [924, 0.008], [925, 0.007], + [928, 0.043], [929, 0.071], [930, 0.112], [931, 0.179], + [1033, 0.012], [1034, 0.012], [1035, 0.024], [1036, 0.024], + [1037, 0.016], [1038, 0.014], [1355, 0.04], [1356, 0.035], + [1357, 0.05], [1358, 0.097], [1359, 0.125], [1360, 0.125], + [1361, 0.085], [1362, 0.06], [1363, 0.035], [1364, 0.021], + [1365, 0.069], [1366, 0.049], [1367, 0.047], [1368, 0.124], + [1369, 0.141], [1370, 0.159], [1371, 0.093], [1372, 0.073], + [1373, 0.053], [1374, 0.04], [1375, 0.146], [1376, 0.132], + [1377, 0.091], [1378, 0.175], [1379, 0.192], [1380, 0.158], + [1381, 0.119], [1382, 0.101], [1383, 0.084], [1384, 0.075], + [1385, 0.192], [1386, 0.177], [1387, 0.144], [1388, 0.216], + [1389, 0.224], [1390, 0.214], [1391, 0.171], [1392, 0.148], + [1393, 0.125], [1394, 0.104], [1395, 0.236], [1396, 0.222], + [1397, 0.197], [1398, 0.257], [1399, 0.063], [1400, 0.063], + [1401, 0.05], [1402, 0.037], [1403, 0.266], [1430, 0.01], + [1431, 0.015], [1432, 0.027], [1433, 0.059], [1434, 0.08], + [1435, 0.072], [1436, 0.05], [1437, 0.035], [1438, 0.02], + [1439, 0.011], [1450, 0.024], [1451, 0.071], [1452, 0.127], + [1453, 0.162], [1454, 0.198], [1458, 0.009], [1460, 0.23], + [1461, 0.157], [1462, 0.258], [1463, 0.257], [1464, 0.256], + [1465, 0.074], [1466, 0.005], [1467, 0.002], [1468, 0.161], + [1469, 0.2], [1470, 0.215], [1471, 0.216], [1472, 0.021], + [1473, 0.041], [1474, 0.074], [1475, 0.171], [1476, 0.1], + [1477, 0.125], [1478, 0.207], [1479, 0.202], [1480, 0.189], + [1481, 0.195], [1482, 0.205], [1483, 0.238], [1484, 0.218], + [1485, 0.206], [1486, 0.212], [1487, 0.201], [1488, 0.197], + [1489, 0.175], [1490, 0.112], [1492, 0.001], [1493, 0.024], + [1494, 0.002], [1497, 0.045], [1498, 0.104], [1499, 0.131], + [1500, 0.145], [1501, 0.178], [1502, 0.126], [1503, 0.172], + [1504, 0.174], [1505, 0.219], [1506, 0.174], [1507, 0.166], + [1508, 0.173], [1509, 0.219], [1510, 0.113], [1511, 0.247], + [1512, 0.241], [1513, 0.278], [1514, 0.151], [1515, 0.278], + [1516, 0.207], [1517, 0.261], [1518, 0.245], [1519, 0.241], + [1520, 0.223], [1521, 0.085], [1522, 0.043], [1523, 0.111], + [1524, 0.056], [1525, 0.118], [1526, 0.06], [1527, 0.122], + [1528, 0.062], [1529, 0.138], [1530, 0.11], [1531, 0.069], + [1532, 0.097], [1533, 0.135], [1534, 0.16], [1535, 0.185], + [1536, 0.213], [1537, 0.121], [1538, 0.01], [1539, 0.005], + [1540, 0.17], [1541, 0.181], [1542, 0.182], [1543, 0.188], + [1544, 0.189], [1545, 0.162], [1546, 0.156], [1547, 0.143], + [1548, 0.169], [1549, 0.015], [1550, 0.007], [1551, 0.179], + [1552, 0.163], [1553, 0.148], [1554, 0.168], [1555, 0.176], + [1556, 0.135], [1557, 0.118], [1558, 0.08], [1559, 0.087], + [1560, 0.038], [1565, 0.1], [1566, 0.017], [1571, 0.103], + [1572, 0.03], [1577, 0.094], [1578, 0.022], [1583, 0.123], + [1584, 0.023], [1585, 0.002], [1589, 0.012], [1590, 0.005], + [1595, 0.006], [1596, 0.002], [1601, 0.137], [1602, 0.072], + [1603, 0.071], [1604, 0.057], [1605, 0.092], [1606, 0.1], + [1607, 0.081], [1608, 0.048], [1609, 0.058], [1610, 0.024], + [1615, 0.075], [1616, 0.115], [1617, 0.065], [1618, 0.03], + [1619, 0.03], [1625, 0.099], [1626, 0.063], [1627, 0.021], + [1635, 0.043], [1636, 0.028], [1637, 0.011], [1644, 0.026], + [1645, 0.014], [1669, 0.041], [1670, 0.011], [1671, 0.1], + [1672, 0.061], [1674, 0.001], [1677, 0.021], [1678, 0.024], + [1679, 0.011], [1680, 0.006], [1683, 0.006], [1684, 0.014], + [1762, 0.001], [1763, 0.001], [1794, 0.01], [1795, 0.012], + [1796, 0.009], [1797, 0.006], [1798, 0.003], [1809, 0.007], + [1810, 0.018], [1811, 0.023], [1812, 0.019], [1813, 0.014], + [1814, 0.008], [1825, 0.011], [1826, 0.049], [1827, 0.07], + [1828, 0.058], [1829, 0.04], [1830, 0.023], [1838, 0.002], + [1839, 0.005], [1840, 0.01], [1841, 0.027], [1842, 0.058], + [1843, 0.074], [1844, 0.058], [1845, 0.039], [1846, 0.02], + [1854, 0.003], [1855, 0.005], [1856, 0.01], [1857, 0.031], + [1858, 0.066], [1859, 0.081], [1860, 0.051], [1861, 0.032], + [1862, 0.014], [1870, 0.002], [1871, 0.007], [1872, 0.013], + [1873, 0.034], [1874, 0.017], [1878, 0.033], [1880, 0.045], + [1883, 0.015], [1884, 0.037], [1887, 0.026], [1890, 0.007], + [1891, 0.003], [1894, 0.014], [1895, 0.007], [3687, 0.253], + [3688, 0.171], [3689, 0.106], [3690, 0.067], [3691, 0.04], + [3692, 0.023], [3693, 0.011], [3751, 0.27], [3752, 0.246], + [3753, 0.205], [3754, 0.161], [3755, 0.097], [3756, 0.073], + [3757, 0.043], [3758, 0.004], [14502, 1.0], [14503, 1.0], + [14504, 1.0], [14505, 1.0], [14506, 1.0], [14507, 1.0], + [14508, 1.0], [14509, 1.0], [15556, 0.044], [15557, 0.041], + [15558, 0.065], [15559, 0.056], [15561, 0.032], [15562, 0.018], + [15563, 0.081], [15564, 0.072], [15565, 0.083], [15566, 0.068], + [15568, 0.038], [15569, 0.025], [15570, 0.103], [15571, 0.09], + [15572, 0.103], [15573, 0.079], [15575, 0.054], [15576, 0.042], + [15577, 0.115], [15578, 0.105], [15579, 0.115], [15580, 0.1], + [15581, 0.076], [15582, 0.061], [15594, 0.017], [15595, 0.019], + [15596, 0.05], [15597, 0.034], [15599, 0.016], [15600, 0.009], + [15611, 0.091], [15612, 0.102], [15613, 0.1], [15614, 0.108], + [15616, 0.083], [15617, 0.095], [15618, 0.09], [15619, 0.095], + [15620, 0.024], [15623, 0.035], [15626, 0.05], [15629, 0.023], + [15632, 0.065], [15633, 0.08], [15634, 0.072], [15635, 0.064], + [15636, 0.049], [15637, 0.048], [15638, 0.045], [15639, 0.034], + [15641, 0.015], [15644, 0.029], [15645, 0.05], [15646, 0.04], + [15647, 0.024], [15648, 0.002], [15653, 0.016], [15654, 0.02], + [15655, 0.008], [15661, 0.005], [15662, 0.006], [15679, 0.025], + [15680, 0.009], [15681, 0.048], [15682, 0.019], [15683, 0.002], + [15684, 0.002], [15686, 0.009], [15687, 0.005], [15688, 0.002], + [15689, 0.005], [15733, 0.001], [15735, 0.035], [15736, 0.045], + [15743, 0.005], [15744, 0.01], [15745, 0.02], [15746, 0.114], + [15747, 0.129], [15748, 0.123], [15768, 0.031], [15772, 0.033], + [15781, 0.017], [15792, 0.005], [15815, 0.003], [15876, 0.128], + [15877, 0.108], [15878, 0.086], [15879, 0.052], [15880, 0.036], + [15881, 0.004], [15909, 0.002], [16434, 0.134], [16435, 0.073], + [16436, 0.087], [16437, 0.105], [16438, 0.101], [16439, 0.103], + [16440, 0.103], [16447, 0.016], [16448, 0.012], [16456, 0.004], + [16467, 0.002], [16468, 0.009], [16469, 0.025], [16470, 0.024], + [16471, 0.007], [16472, 0.003], [16475, 0.086], [16476, 0.086], + [16477, 0.06], [16478, 0.074], [16479, 0.027], [16481, 0.043], + [16482, 0.084], [16489, 0.01], [16490, 0.003], [16491, 0.014], + [16492, 0.004], [16493, 0.006], [16537, 0.029], [16538, 0.031], + [16539, 0.014], [16540, 0.004], [16542, 0.002], [16544, 0.016], + [16546, 0.064], [16547, 0.086], [16548, 0.091], [16549, 0.098], + [16550, 0.005], [16551, 0.03], [16552, 0.071], [16553, 0.064], + [16554, 0.068], [16555, 0.002], [16556, 0.012], [16557, 0.034], + [16558, 0.042], [16559, 0.039], [16561, 0.004], [16562, 0.018], + [16563, 0.032], [16564, 0.029], [16566, 0.003], [16567, 0.014], + [16568, 0.027], [16569, 0.025], [16571, 0.124], [16572, 0.128], + [16573, 0.129], [16574, 0.068], [16575, 0.082], [16576, 0.101], + [16577, 0.1], [16578, 0.044], [16579, 0.053], [16580, 0.073], + [16581, 0.065], [16582, 0.031], [16583, 0.037], [16584, 0.042], + [16585, 0.047], [16586, 0.022], [16587, 0.03], [16588, 0.027], + [16589, 0.034], [16590, 0.016], [16591, 0.116], [16592, 0.087], + [16593, 0.09], [16594, 0.084], [16595, 0.062], [16596, 0.067], + [16597, 0.052], [16598, 0.044], [16599, 0.048], [16600, 0.026], + [16601, 0.035], [16602, 0.035], [16603, 0.023], [16604, 0.029], + [16605, 0.03], [16912, 0.03], [16917, 0.022], [16918, 0.028], + [16919, 0.031], [16941, 0.001], [17050, 0.015], [17061, 0.029], + [17076, 0.009], [17765, 0.003], [17778, 0.002], [17803, 0.002], + [17872, 0.005], [17882, 0.003], [17888, 0.001], [17912, 0.019], + [17917, 0.013], [17922, 0.008], [17927, 0.005], [17932, 0.003], + [18774, 0.19], [18775, 0.165], [18776, 0.308], [18777, 0.276], + [18820, 0.004], [18821, 0.074], [18822, 0.009], [18823, 0.152], + [18824, 0.101], [18825, 0.168], [18826, 0.191], [18827, 0.176], + [18828, 0.1], [18829, 0.096], [18854, 0.091], [18855, 0.036], + [18856, 0.221], [18857, 0.081], [18918, 0.04], [18920, 0.08], + [18988, 0.19], [18989, 0.165], [18990, 0.308], [18991, 0.276], + [18992, 0.243], [18993, 0.198], [18994, 0.072], [18995, 0.032], + [19034, 0.004], [19035, 0.074], [19036, 0.009], [19037, 0.152], + [19038, 0.101], [19039, 0.168], [19040, 0.191], [19041, 0.176], + [19042, 0.1], [19043, 0.096], [19044, 0.03], [19045, 0.024], + [19068, 0.091], [19069, 0.036], [19070, 0.221], [19071, 0.081], + [19072, 0.159], [19073, 0.064], [19074, 0.025], [19075, 0.007], + [19132, 0.04], [19134, 0.08], [19136, 0.061], [19138, 0.006] + ], + "eye.L": [ + [6807, 0.046], [6809, 0.046], [6810, 0.047], [6812, 0.041], + [6813, 0.031], [6869, 0.026], [6870, 0.014], [6871, 0.008], + [7752, 0.063], [7753, 0.089], [7754, 0.05], [7755, 0.062], + [7756, 0.105], [7757, 0.055], [7784, 0.043], [7785, 0.029], + [7787, 0.007], [7788, 0.007], [7790, 0.005], [7796, 0.003], + [7797, 0.007], [11498, 0.036], [11499, 0.031], [11501, 0.02], + [11691, 0.02], [11692, 0.024], [11693, 0.007], [11698, 0.003], + [11716, 0.068], [11719, 0.005], [11721, 0.002], [11742, 0.013], + [11744, 0.011], [13354, 0.034], [13366, 0.006], [13367, 0.026], + [13375, 0.036], [13376, 0.043], [13377, 0.051], [13379, 0.027], + [14086, 1.0], [14087, 1.0], [14088, 1.0], [14089, 1.0], + [14090, 1.0], [14091, 1.0], [14092, 1.0], [14093, 1.0], + [14598, 1.0], [14599, 1.0], [14600, 0.969], [14601, 0.992], + [14602, 1.0], [14603, 1.0], [14604, 1.0], [14605, 1.0], + [14606, 1.0], [14607, 1.0], [14608, 1.0], [14609, 1.0], + [14610, 1.0], [14611, 1.0], [14612, 1.0], [14613, 0.99], + [14614, 1.0], [14615, 1.0], [14616, 1.0], [14617, 1.0], + [14618, 1.0], [14619, 1.0], [14620, 1.0], [14621, 1.0], + [14622, 1.0], [14623, 1.0], [14624, 1.0], [14625, 1.0], + [14626, 1.0], [14627, 1.0], [14628, 1.0], [14629, 1.0], + [14630, 1.0], [14631, 1.0], [14632, 1.0], [14633, 1.0], + [14634, 1.0], [14635, 1.0], [14636, 1.0], [14637, 0.98], + [14638, 1.0], [14639, 1.0], [14640, 1.0], [14641, 1.0], + [14642, 1.0], [14643, 1.0], [14644, 1.0], [14645, 1.0], + [14646, 1.0], [14647, 1.0], [14648, 1.0], [14649, 1.0], + [14650, 1.0], [14651, 1.0], [14652, 1.0], [14653, 1.0], + [14654, 1.0], [14655, 1.0], [14656, 1.0], [14657, 1.0], + [14658, 1.0], [14659, 0.96], [14660, 0.992], [14661, 1.0], + [14662, 1.0], [14663, 1.0], [14664, 0.974], [14665, 1.0], + [14666, 1.0], [14667, 1.0], [14668, 1.0], [14669, 0.982], + [14747, 0.086], [14748, 0.11], [14749, 0.108], [14751, 0.251], + [14752, 0.119], [14764, 0.004], [14769, 0.004], [14771, 0.015], + [14773, 0.01], [14777, 0.033], [14785, 0.011], [14792, 0.134], + [14805, 0.002], [14806, 0.003], [14807, 0.007], [14808, 0.006], + [14822, 0.015], [14842, 0.008], [14843, 0.003], [14852, 0.006], + [14853, 0.002] + ], + "eye.R": [ + [23, 0.046], [25, 0.046], [26, 0.047], [28, 0.041], + [29, 0.031], [85, 0.026], [86, 0.014], [87, 0.008], + [1060, 0.063], [1061, 0.089], [1062, 0.05], [1063, 0.062], + [1064, 0.105], [1065, 0.055], [1092, 0.043], [1093, 0.029], + [1095, 0.007], [1096, 0.007], [1098, 0.005], [1104, 0.003], + [1105, 0.007], [4880, 0.036], [4881, 0.031], [4883, 0.02], + [5076, 0.02], [5077, 0.024], [5078, 0.007], [5083, 0.003], + [5101, 0.068], [5104, 0.005], [5106, 0.002], [5127, 0.013], + [5129, 0.011], [6758, 0.034], [6770, 0.006], [6771, 0.026], + [6779, 0.036], [6780, 0.043], [6781, 0.051], [6783, 0.027], + [14518, 1.0], [14519, 1.0], [14520, 1.0], [14521, 1.0], + [14522, 1.0], [14523, 1.0], [14524, 1.0], [14525, 1.0], + [14670, 1.0], [14671, 1.0], [14672, 0.969], [14673, 0.992], + [14674, 1.0], [14675, 1.0], [14676, 1.0], [14677, 1.0], + [14678, 1.0], [14679, 1.0], [14680, 1.0], [14681, 1.0], + [14682, 1.0], [14683, 1.0], [14684, 1.0], [14685, 0.99], + [14686, 1.0], [14687, 1.0], [14688, 1.0], [14689, 1.0], + [14690, 1.0], [14691, 1.0], [14692, 1.0], [14693, 1.0], + [14694, 1.0], [14695, 1.0], [14696, 1.0], [14697, 1.0], + [14698, 1.0], [14699, 1.0], [14700, 1.0], [14701, 1.0], + [14702, 1.0], [14703, 1.0], [14704, 1.0], [14705, 1.0], + [14706, 1.0], [14707, 1.0], [14708, 1.0], [14709, 0.98], + [14710, 1.0], [14711, 1.0], [14712, 1.0], [14713, 1.0], + [14714, 1.0], [14715, 1.0], [14716, 1.0], [14717, 1.0], + [14718, 1.0], [14719, 1.0], [14720, 1.0], [14721, 1.0], + [14722, 1.0], [14723, 1.0], [14724, 1.0], [14725, 1.0], + [14726, 1.0], [14727, 1.0], [14728, 1.0], [14729, 1.0], + [14730, 1.0], [14731, 0.96], [14732, 0.992], [14733, 1.0], + [14734, 1.0], [14735, 1.0], [14736, 0.974], [14737, 1.0], + [14738, 1.0], [14739, 1.0], [14740, 1.0], [14741, 0.982], + [14872, 0.086], [14873, 0.11], [14874, 0.108], [14876, 0.251], + [14877, 0.119], [14889, 0.004], [14894, 0.004], [14896, 0.015], + [14898, 0.01], [14902, 0.033], [14910, 0.011], [14917, 0.134], + [14930, 0.002], [14931, 0.003], [14932, 0.007], [14933, 0.006], + [14947, 0.015], [14967, 0.008], [14968, 0.003], [14977, 0.006], + [14978, 0.002] + ], + "finger1-1.L": [ + [9839, 0.512], [9840, 0.495], [9847, 0.102], [9860, 0.423], + [9861, 0.541], [9863, 0.172], [9868, 0.796], [9869, 0.784], + [9870, 0.746], [9871, 0.655], [9872, 0.09], [9873, 0.002], + [9878, 0.285], [9879, 0.166], [9884, 0.53], [9885, 0.458], + [9890, 0.215], [9896, 0.097], [9899, 0.313], [9904, 0.338], + [9906, 0.045], [9920, 0.054], [10218, 0.009], [10219, 0.009], + [10220, 0.004], [10234, 0.195], [10235, 0.237], [10236, 0.62], + [10237, 0.224], [10240, 0.046], [10241, 0.101], [10283, 0.02], + [10285, 0.007], [10286, 0.008], [10287, 0.033], [10288, 0.008], + [10290, 0.004], [10291, 0.022], [10292, 0.046], [10293, 0.098], + [10294, 0.074], [10295, 0.026], [10296, 0.061], [10297, 0.103], + [10298, 0.037], [10299, 0.015], [10300, 0.03], [10301, 0.066], + [10302, 0.14], [10303, 0.303], [10304, 0.255], [10305, 0.018], + [10306, 0.132], [10307, 0.28], [10308, 0.06], [10309, 0.225], + [10310, 0.166], [10311, 0.709], [10312, 0.765], [10313, 0.638], + [10314, 0.06], [10315, 0.21], [10317, 0.069], [10319, 0.155], + [10322, 0.122], [10325, 0.024], [10334, 0.067], [10335, 0.017], + [10337, 0.053], [10340, 0.296], [10342, 0.496], [10343, 0.16], + [10346, 0.421], [10347, 0.288], [10351, 0.045], [10352, 0.099], + [10353, 0.028], [10354, 0.249], [10438, 0.006], [10439, 0.255], + [10485, 0.045], [10486, 0.008], [10488, 0.045], [10489, 0.315], + [10490, 0.005], [10491, 0.413], [10492, 0.529], [10495, 0.056], + [10496, 0.109], [10497, 0.125], [10498, 0.197], [10499, 0.226], + [10500, 0.363], [10501, 0.412], [10576, 0.042], [10577, 0.102], + [10578, 0.138], [10579, 0.124], [10585, 0.026], [10586, 0.053], + [10587, 0.089], [13998, 1.0], [13999, 1.0], [14000, 1.0], + [14001, 1.0], [14002, 1.0], [14003, 1.0], [14004, 1.0], + [14005, 1.0], [17182, 0.004], [17183, 0.003], [17191, 0.004], + [17192, 0.004], [17207, 0.015] + ], + "finger1-1.R": [ + [3171, 0.512], [3172, 0.495], [3179, 0.102], [3192, 0.423], + [3193, 0.541], [3195, 0.172], [3200, 0.796], [3201, 0.784], + [3202, 0.746], [3203, 0.655], [3204, 0.09], [3205, 0.002], + [3210, 0.285], [3211, 0.166], [3216, 0.53], [3217, 0.458], + [3222, 0.215], [3228, 0.097], [3231, 0.313], [3236, 0.338], + [3238, 0.045], [3252, 0.054], [3550, 0.009], [3551, 0.009], + [3552, 0.004], [3566, 0.195], [3567, 0.237], [3568, 0.62], + [3569, 0.224], [3572, 0.046], [3573, 0.101], [3615, 0.02], + [3617, 0.007], [3618, 0.008], [3619, 0.033], [3620, 0.008], + [3622, 0.004], [3623, 0.022], [3624, 0.046], [3625, 0.098], + [3626, 0.074], [3627, 0.026], [3628, 0.061], [3629, 0.103], + [3630, 0.037], [3631, 0.015], [3632, 0.03], [3633, 0.066], + [3634, 0.14], [3635, 0.303], [3636, 0.255], [3637, 0.018], + [3638, 0.132], [3639, 0.28], [3640, 0.06], [3641, 0.225], + [3642, 0.166], [3643, 0.709], [3644, 0.765], [3645, 0.638], + [3646, 0.06], [3647, 0.21], [3649, 0.069], [3651, 0.155], + [3654, 0.122], [3657, 0.024], [3666, 0.067], [3667, 0.017], + [3669, 0.053], [3672, 0.296], [3674, 0.496], [3675, 0.16], + [3678, 0.421], [3679, 0.288], [3683, 0.045], [3684, 0.099], + [3685, 0.028], [3686, 0.249], [3771, 0.006], [3772, 0.255], + [3819, 0.045], [3820, 0.008], [3822, 0.045], [3823, 0.315], + [3824, 0.005], [3825, 0.413], [3826, 0.529], [3829, 0.056], + [3830, 0.109], [3831, 0.125], [3832, 0.197], [3833, 0.226], + [3834, 0.363], [3835, 0.412], [3911, 0.042], [3912, 0.102], + [3913, 0.138], [3914, 0.124], [3920, 0.026], [3921, 0.053], + [3922, 0.089], [14438, 1.0], [14439, 1.0], [14440, 1.0], + [14441, 1.0], [14442, 1.0], [14443, 1.0], [14444, 1.0], + [14445, 1.0], [15865, 0.004], [15866, 0.003], [15874, 0.004], + [15875, 0.004], [15890, 0.015] + ], + "finger1-2.L": [ + [9334, 0.632], [9335, 0.484], [9336, 0.649], [9337, 0.636], + [9338, 0.633], [9339, 0.611], [9341, 0.125], [9346, 0.131], + [9347, 0.125], [9355, 0.65], [9357, 0.65], [9358, 0.126], + [9360, 0.029], [9361, 0.137], [9364, 0.125], [9366, 0.017], + [9367, 0.134], [9369, 0.057], [9370, 0.196], [9371, 0.095], + [9372, 0.21], [9373, 0.141], [9374, 0.247], [9375, 0.214], + [9376, 0.144], [9377, 0.289], [9378, 0.196], [9379, 0.198], + [9380, 0.243], [9381, 0.224], [9382, 0.872], [9383, 0.834], + [9384, 0.838], [9385, 0.827], [9386, 0.715], [9387, 0.853], + [9388, 0.836], [9389, 0.839], [9390, 0.481], [9391, 0.305], + [9392, 0.443], [9393, 0.493], [9394, 0.414], [9395, 0.46], + [9396, 0.482], [9397, 0.449], [9398, 0.363], [9399, 0.161], + [9400, 0.284], [9401, 0.366], [9402, 0.321], [9403, 0.317], + [9404, 0.351], [9405, 0.309], [9408, 0.107], [9409, 0.025], + [9410, 0.023], [9411, 0.126], [9412, 0.129], [9413, 0.16], + [9414, 0.63], [9418, 0.011], [9419, 0.895], [9420, 0.154], + [9421, 0.37], [9422, 0.235], [9424, 0.303], [9425, 0.428], + [9426, 0.012], [9429, 0.21], [9430, 0.037], [9431, 0.856], + [9432, 0.631], [9446, 0.098], [9447, 0.136], [9448, 0.144], + [9449, 0.196], [9450, 0.29], [9451, 0.17], [9452, 0.042], + [9453, 0.264], [9454, 0.067], [9455, 0.121], [9839, 0.412], + [9840, 0.432], [9845, 0.006], [9847, 0.232], [9848, 0.012], + [9860, 0.491], [9861, 0.364], [9863, 0.077], [9868, 0.12], + [9869, 0.114], [9870, 0.147], [9871, 0.152], [9872, 0.143], + [9873, 0.03], [9878, 0.378], [9879, 0.302], [9884, 0.238], + [9885, 0.268], [9899, 0.025], [9904, 0.458], [10235, 0.015], + [10236, 0.035], [10237, 0.008], [10251, 0.981], [10252, 0.931], + [10253, 0.924], [10254, 0.926], [10255, 0.926], [10256, 0.942], + [10257, 0.93], [10258, 0.96], [10259, 0.979], [10260, 0.971], + [10261, 1.0], [10262, 0.992], [10263, 0.99], [10264, 0.99], + [10265, 0.97], [10266, 1.0], [10267, 1.0], [10268, 0.968], + [10269, 1.0], [10270, 0.984], [10271, 1.0], [10272, 1.0], + [10273, 1.0], [10274, 1.0], [10275, 0.935], [10276, 1.0], + [10277, 1.0], [10278, 0.919], [10279, 1.0], [10280, 0.959], + [10281, 0.975], [10282, 1.0], [10283, 0.98], [10284, 1.0], + [10285, 0.898], [10286, 0.976], [10287, 0.967], [10288, 0.845], + [10289, 1.0], [10290, 0.91], [10291, 0.914], [10292, 0.954], + [10293, 0.902], [10294, 0.926], [10295, 0.866], [10296, 0.878], + [10297, 0.897], [10298, 0.708], [10299, 0.985], [10300, 0.811], + [10301, 0.748], [10302, 0.848], [10303, 0.673], [10304, 0.729], + [10305, 0.908], [10306, 0.771], [10307, 0.672], [10308, 0.478], + [10309, 0.729], [10310, 0.302], [10311, 0.05], [10312, 0.048], + [10313, 0.056], [10314, 0.017], [10340, 0.069], [10342, 0.402], + [10346, 0.042], [10354, 0.022], [10439, 0.016], [10485, 0.225], + [10486, 0.12], [10487, 0.043], [10488, 0.093], [10489, 0.172], + [10490, 0.075], [10491, 0.154], [10492, 0.06], [10500, 0.026], + [10501, 0.031], [13990, 1.0], [13991, 1.0], [13992, 1.0], + [13993, 1.0], [13994, 1.0], [13995, 1.0], [13996, 1.0], + [13997, 1.0] + ], + "finger1-2.R": [ + [2666, 0.632], [2667, 0.484], [2668, 0.649], [2669, 0.636], + [2670, 0.633], [2671, 0.611], [2673, 0.125], [2678, 0.131], + [2679, 0.125], [2687, 0.65], [2689, 0.65], [2690, 0.126], + [2692, 0.029], [2693, 0.137], [2696, 0.125], [2698, 0.017], + [2699, 0.134], [2701, 0.057], [2702, 0.196], [2703, 0.095], + [2704, 0.21], [2705, 0.141], [2706, 0.247], [2707, 0.214], + [2708, 0.144], [2709, 0.289], [2710, 0.196], [2711, 0.198], + [2712, 0.243], [2713, 0.224], [2714, 0.872], [2715, 0.834], + [2716, 0.838], [2717, 0.827], [2718, 0.715], [2719, 0.853], + [2720, 0.836], [2721, 0.839], [2722, 0.481], [2723, 0.305], + [2724, 0.443], [2725, 0.493], [2726, 0.414], [2727, 0.46], + [2728, 0.482], [2729, 0.449], [2730, 0.363], [2731, 0.161], + [2732, 0.284], [2733, 0.366], [2734, 0.321], [2735, 0.317], + [2736, 0.351], [2737, 0.309], [2740, 0.107], [2741, 0.025], + [2742, 0.023], [2743, 0.126], [2744, 0.129], [2745, 0.16], + [2746, 0.63], [2750, 0.011], [2751, 0.895], [2752, 0.154], + [2753, 0.37], [2754, 0.235], [2756, 0.303], [2757, 0.428], + [2758, 0.012], [2761, 0.21], [2762, 0.037], [2763, 0.856], + [2764, 0.631], [2778, 0.098], [2779, 0.136], [2780, 0.144], + [2781, 0.196], [2782, 0.29], [2783, 0.17], [2784, 0.042], + [2785, 0.264], [2786, 0.067], [2787, 0.121], [3171, 0.412], + [3172, 0.432], [3177, 0.006], [3179, 0.232], [3180, 0.012], + [3192, 0.491], [3193, 0.364], [3195, 0.077], [3200, 0.12], + [3201, 0.114], [3202, 0.147], [3203, 0.152], [3204, 0.143], + [3205, 0.03], [3210, 0.378], [3211, 0.302], [3216, 0.238], + [3217, 0.268], [3231, 0.025], [3236, 0.458], [3567, 0.015], + [3568, 0.035], [3569, 0.008], [3583, 0.981], [3584, 0.931], + [3585, 0.924], [3586, 0.926], [3587, 0.926], [3588, 0.942], + [3589, 0.93], [3590, 0.96], [3591, 0.979], [3592, 0.971], + [3593, 1.0], [3594, 0.992], [3595, 0.99], [3596, 0.99], + [3597, 0.97], [3598, 1.0], [3599, 1.0], [3600, 0.968], + [3601, 1.0], [3602, 0.984], [3603, 1.0], [3604, 1.0], + [3605, 1.0], [3606, 1.0], [3607, 0.935], [3608, 1.0], + [3609, 1.0], [3610, 0.919], [3611, 1.0], [3612, 0.959], + [3613, 0.975], [3614, 1.0], [3615, 0.98], [3616, 1.0], + [3617, 0.898], [3618, 0.976], [3619, 0.967], [3620, 0.845], + [3621, 1.0], [3622, 0.91], [3623, 0.914], [3624, 0.954], + [3625, 0.902], [3626, 0.926], [3627, 0.866], [3628, 0.878], + [3629, 0.897], [3630, 0.708], [3631, 0.985], [3632, 0.811], + [3633, 0.748], [3634, 0.848], [3635, 0.673], [3636, 0.729], + [3637, 0.908], [3638, 0.771], [3639, 0.672], [3640, 0.478], + [3641, 0.729], [3642, 0.302], [3643, 0.05], [3644, 0.048], + [3645, 0.056], [3646, 0.017], [3672, 0.069], [3674, 0.402], + [3678, 0.042], [3686, 0.022], [3772, 0.016], [3819, 0.225], + [3820, 0.12], [3821, 0.043], [3822, 0.093], [3823, 0.172], + [3824, 0.075], [3825, 0.154], [3826, 0.06], [3834, 0.026], + [3835, 0.031], [14430, 1.0], [14431, 1.0], [14432, 1.0], + [14433, 1.0], [14434, 1.0], [14435, 1.0], [14436, 1.0], + [14437, 1.0] + ], + "finger1-3.L": [ + [9334, 0.368], [9335, 0.516], [9336, 0.352], [9337, 0.364], + [9338, 0.367], [9339, 0.389], [9340, 1.0], [9341, 0.875], + [9342, 1.0], [9343, 1.0], [9344, 1.0], [9345, 1.0], + [9346, 0.869], [9347, 0.875], [9348, 1.0], [9349, 1.0], + [9350, 1.0], [9351, 1.0], [9352, 1.0], [9353, 1.0], + [9354, 1.0], [9355, 0.35], [9356, 1.0], [9357, 0.35], + [9358, 0.874], [9359, 1.0], [9360, 0.971], [9361, 0.863], + [9362, 1.0], [9363, 1.0], [9364, 0.875], [9365, 1.0], + [9366, 0.983], [9367, 0.866], [9368, 1.0], [9369, 0.943], + [9370, 0.804], [9371, 0.905], [9372, 0.79], [9373, 0.859], + [9374, 0.753], [9375, 0.786], [9376, 0.856], [9377, 0.711], + [9378, 0.804], [9379, 0.802], [9380, 0.757], [9381, 0.776], + [9382, 0.128], [9383, 0.166], [9384, 0.162], [9385, 0.173], + [9386, 0.285], [9387, 0.147], [9388, 0.164], [9389, 0.161], + [9390, 0.519], [9391, 0.696], [9392, 0.557], [9393, 0.507], + [9394, 0.586], [9395, 0.54], [9396, 0.518], [9397, 0.551], + [9398, 0.637], [9399, 0.839], [9400, 0.716], [9401, 0.634], + [9402, 0.679], [9403, 0.683], [9404, 0.649], [9405, 0.691], + [9406, 1.0], [9407, 1.0], [9408, 0.893], [9409, 0.975], + [9410, 0.977], [9411, 0.874], [9412, 0.871], [9413, 0.84], + [9414, 0.37], [9415, 1.0], [9416, 1.0], [9417, 1.0], + [9418, 0.989], [9419, 0.105], [9420, 0.846], [9421, 0.63], + [9422, 0.765], [9423, 1.0], [9424, 0.697], [9425, 0.572], + [9426, 0.988], [9427, 1.0], [9428, 1.0], [9429, 0.79], + [9430, 0.963], [9431, 0.144], [9432, 0.37], [9433, 1.0], + [9434, 1.0], [9435, 1.0], [9436, 1.0], [9437, 1.0], + [9438, 1.0], [9439, 1.0], [9440, 1.0], [9441, 1.0], + [9442, 1.0], [9443, 1.0], [9444, 1.0], [9445, 1.0], + [9446, 0.902], [9447, 0.864], [9448, 0.856], [9449, 0.804], + [9450, 0.71], [9451, 0.83], [9452, 0.958], [9453, 0.736], + [9454, 0.933], [9455, 0.879], [10251, 0.019], [10252, 0.069], + [10253, 0.076], [10254, 0.074], [10255, 0.074], [10256, 0.058], + [10257, 0.07], [10258, 0.04], [10259, 0.021], [10260, 0.029], + [10262, 0.008], [10263, 0.01], [10264, 0.01], [10265, 0.019], + [13982, 1.0], [13983, 1.0], [13984, 1.0], [13985, 1.0], + [13986, 1.0], [13987, 1.0], [13988, 1.0], [13989, 1.0] + ], + "finger1-3.R": [ + [2666, 0.368], [2667, 0.516], [2668, 0.352], [2669, 0.364], + [2670, 0.367], [2671, 0.389], [2672, 1.0], [2673, 0.875], + [2674, 1.0], [2675, 1.0], [2676, 1.0], [2677, 1.0], + [2678, 0.869], [2679, 0.875], [2680, 1.0], [2681, 1.0], + [2682, 1.0], [2683, 1.0], [2684, 1.0], [2685, 1.0], + [2686, 1.0], [2687, 0.35], [2688, 1.0], [2689, 0.35], + [2690, 0.874], [2691, 1.0], [2692, 0.971], [2693, 0.863], + [2694, 1.0], [2695, 1.0], [2696, 0.875], [2697, 1.0], + [2698, 0.983], [2699, 0.866], [2700, 1.0], [2701, 0.943], + [2702, 0.804], [2703, 0.905], [2704, 0.79], [2705, 0.859], + [2706, 0.753], [2707, 0.786], [2708, 0.856], [2709, 0.711], + [2710, 0.804], [2711, 0.802], [2712, 0.757], [2713, 0.776], + [2714, 0.128], [2715, 0.166], [2716, 0.162], [2717, 0.173], + [2718, 0.285], [2719, 0.147], [2720, 0.164], [2721, 0.161], + [2722, 0.519], [2723, 0.696], [2724, 0.557], [2725, 0.507], + [2726, 0.586], [2727, 0.54], [2728, 0.518], [2729, 0.551], + [2730, 0.637], [2731, 0.839], [2732, 0.716], [2733, 0.634], + [2734, 0.679], [2735, 0.683], [2736, 0.649], [2737, 0.691], + [2738, 1.0], [2739, 1.0], [2740, 0.893], [2741, 0.975], + [2742, 0.977], [2743, 0.874], [2744, 0.871], [2745, 0.84], + [2746, 0.37], [2747, 1.0], [2748, 1.0], [2749, 1.0], + [2750, 0.989], [2751, 0.105], [2752, 0.846], [2753, 0.63], + [2754, 0.765], [2755, 1.0], [2756, 0.697], [2757, 0.572], + [2758, 0.988], [2759, 1.0], [2760, 1.0], [2761, 0.79], + [2762, 0.963], [2763, 0.144], [2764, 0.37], [2765, 1.0], + [2766, 1.0], [2767, 1.0], [2768, 1.0], [2769, 1.0], + [2770, 1.0], [2771, 1.0], [2772, 1.0], [2773, 1.0], + [2774, 1.0], [2775, 1.0], [2776, 1.0], [2777, 1.0], + [2778, 0.902], [2779, 0.864], [2780, 0.856], [2781, 0.804], + [2782, 0.71], [2783, 0.83], [2784, 0.958], [2785, 0.736], + [2786, 0.933], [2787, 0.879], [3583, 0.019], [3584, 0.069], + [3585, 0.076], [3586, 0.074], [3587, 0.074], [3588, 0.058], + [3589, 0.07], [3590, 0.04], [3591, 0.021], [3592, 0.029], + [3594, 0.008], [3595, 0.01], [3596, 0.01], [3597, 0.019], + [14422, 1.0], [14423, 1.0], [14424, 1.0], [14425, 1.0], + [14426, 1.0], [14427, 1.0], [14428, 1.0], [14429, 1.0] + ], + "finger2-1.L": [ + [8567, 0.026], [8568, 0.048], [8569, 0.029], [8570, 0.661], + [8571, 0.668], [8572, 0.618], [8573, 0.489], [8574, 0.957], + [8575, 0.78], [8576, 0.982], [8577, 0.911], [8578, 0.81], + [8579, 0.585], [8580, 0.842], [8581, 0.975], [8582, 0.532], + [8584, 0.379], [8585, 0.781], [8586, 0.538], [8587, 0.018], + [8588, 0.773], [8589, 0.976], [8605, 0.038], [8606, 0.664], + [8607, 0.861], [8608, 0.979], [8610, 0.01], [8611, 0.428], + [8612, 0.587], [8613, 0.962], [8630, 0.883], [8631, 0.917], + [8632, 0.874], [8633, 0.882], [8634, 0.931], [8635, 0.912], + [8636, 0.896], [8637, 0.894], [8638, 0.507], [8639, 0.46], + [8640, 0.518], [8641, 0.491], [8642, 0.256], [8643, 0.34], + [8644, 0.3], [8645, 0.373], [8654, 0.09], [8655, 0.195], + [8656, 0.135], [8657, 0.159], [8658, 0.355], [8659, 0.326], + [8660, 0.373], [8661, 0.304], [8662, 0.25], [8663, 0.162], + [8664, 0.149], [8665, 0.247], [8666, 0.622], [8667, 0.648], + [8668, 0.766], [8669, 0.604], [8670, 0.402], [8671, 0.405], + [8672, 0.421], [8673, 0.497], [8674, 0.744], [8675, 0.779], + [8676, 0.753], [8677, 0.639], [8702, 0.02], [8703, 0.447], + [8704, 0.899], [8705, 0.979], [8710, 0.906], [8711, 0.246], + [8712, 0.064], [8714, 0.497], [8715, 0.435], [8721, 0.368], + [8722, 0.711], [8724, 0.882], [8727, 0.945], [8729, 0.267], + [8731, 0.117], [8732, 0.275], [8733, 0.41], [8766, 0.02], + [8769, 0.077], [8772, 0.333], [8780, 0.27], [8781, 0.022], + [8799, 0.016], [8804, 0.009], [8896, 0.15], [9456, 0.017], + [9457, 0.033], [9458, 0.645], [9459, 0.552], [9460, 0.683], + [9461, 0.823], [9462, 0.937], [9463, 0.933], [9470, 0.857], + [9471, 0.903], [9472, 0.362], [9473, 0.305], [9477, 0.19], + [9478, 0.135], [9480, 0.52], [9481, 0.432], [9482, 0.675], + [9483, 0.823], [9500, 0.256], [9612, 0.02], [9613, 0.485], + [9614, 0.813], [9615, 0.958], [9619, 0.488], [9620, 0.294], + [9621, 0.858], [9624, 0.948], [9625, 0.293], [9626, 0.207], + [9628, 0.556], [9629, 0.408], [9636, 0.417], [9637, 0.622], + [9639, 0.88], [9644, 0.059], [9645, 0.283], [9653, 0.218], + [9654, 0.008], [9768, 0.793], [9769, 0.567], [9770, 0.725], + [9771, 0.65], [9772, 0.68], [9773, 0.366], [9774, 0.49], + [9775, 0.242], [9776, 0.116], [9777, 0.008], [9778, 0.053], + [9779, 0.019], [9780, 0.101], [9796, 0.848], [9798, 0.5], + [9800, 0.549], [9801, 0.4], [9802, 0.369], [9803, 0.475], + [9804, 0.029], [9805, 0.042], [9806, 0.015], [9807, 0.09], + [9808, 0.021], [9809, 0.052], [9811, 0.009], [9825, 0.528], + [9828, 0.062], [9829, 0.346], [9830, 0.016], [9831, 0.008], + [9833, 0.02], [9842, 0.201], [9844, 0.064], [9845, 0.015], + [9910, 0.036], [9916, 0.062], [9918, 0.067], [9921, 0.126], + [9923, 0.935], [9924, 0.866], [9925, 0.91], [9926, 0.709], + [9927, 0.666], [9928, 0.929], [9929, 0.888], [9930, 0.858], + [9931, 0.939], [9932, 0.777], [9933, 0.899], [9934, 0.855], + [9935, 0.892], [9936, 0.683], [9939, 0.029], [9942, 0.124], + [9944, 0.048], [9948, 0.047], [9967, 0.021], [9973, 0.107], + [9974, 0.071], [10244, 0.235], [10245, 0.449], [10474, 0.064], + [10477, 0.311], [10482, 0.34], [10483, 0.122], [10487, 0.028], + [10488, 0.014], [10502, 0.03], [13918, 1.0], [13919, 1.0], + [13920, 1.0], [13921, 1.0], [13922, 1.0], [13923, 1.0], + [13924, 1.0], [13925, 1.0] + ], + "finger2-1.R": [ + [1899, 0.026], [1900, 0.048], [1901, 0.029], [1902, 0.661], + [1903, 0.668], [1904, 0.618], [1905, 0.489], [1906, 0.957], + [1907, 0.78], [1908, 0.982], [1909, 0.911], [1910, 0.81], + [1911, 0.585], [1912, 0.842], [1913, 0.975], [1914, 0.532], + [1916, 0.379], [1917, 0.781], [1918, 0.538], [1919, 0.018], + [1920, 0.773], [1921, 0.976], [1937, 0.038], [1938, 0.664], + [1939, 0.861], [1940, 0.979], [1942, 0.01], [1943, 0.428], + [1944, 0.587], [1945, 0.962], [1962, 0.883], [1963, 0.917], + [1964, 0.874], [1965, 0.882], [1966, 0.931], [1967, 0.912], + [1968, 0.896], [1969, 0.894], [1970, 0.507], [1971, 0.46], + [1972, 0.518], [1973, 0.491], [1974, 0.256], [1975, 0.34], + [1976, 0.3], [1977, 0.373], [1986, 0.09], [1987, 0.195], + [1988, 0.135], [1989, 0.159], [1990, 0.355], [1991, 0.326], + [1992, 0.373], [1993, 0.304], [1994, 0.25], [1995, 0.162], + [1996, 0.149], [1997, 0.247], [1998, 0.622], [1999, 0.648], + [2000, 0.766], [2001, 0.604], [2002, 0.402], [2003, 0.405], + [2004, 0.421], [2005, 0.497], [2006, 0.744], [2007, 0.779], + [2008, 0.753], [2009, 0.639], [2034, 0.02], [2035, 0.447], + [2036, 0.899], [2037, 0.979], [2042, 0.906], [2043, 0.246], + [2044, 0.064], [2046, 0.497], [2047, 0.435], [2053, 0.368], + [2054, 0.711], [2056, 0.882], [2059, 0.945], [2061, 0.267], + [2063, 0.117], [2064, 0.275], [2065, 0.41], [2098, 0.02], + [2101, 0.077], [2104, 0.333], [2112, 0.27], [2113, 0.022], + [2131, 0.016], [2136, 0.009], [2228, 0.15], [2788, 0.017], + [2789, 0.033], [2790, 0.645], [2791, 0.552], [2792, 0.683], + [2793, 0.823], [2794, 0.937], [2795, 0.933], [2802, 0.857], + [2803, 0.903], [2804, 0.362], [2805, 0.305], [2809, 0.19], + [2810, 0.135], [2812, 0.52], [2813, 0.432], [2814, 0.675], + [2815, 0.823], [2832, 0.256], [2944, 0.02], [2945, 0.485], + [2946, 0.813], [2947, 0.958], [2951, 0.488], [2952, 0.294], + [2953, 0.858], [2956, 0.948], [2957, 0.293], [2958, 0.207], + [2960, 0.556], [2961, 0.408], [2968, 0.417], [2969, 0.622], + [2971, 0.88], [2976, 0.059], [2977, 0.283], [2985, 0.218], + [2986, 0.008], [3100, 0.793], [3101, 0.567], [3102, 0.725], + [3103, 0.65], [3104, 0.68], [3105, 0.366], [3106, 0.49], + [3107, 0.242], [3108, 0.116], [3109, 0.008], [3110, 0.053], + [3111, 0.019], [3112, 0.101], [3128, 0.848], [3130, 0.5], + [3132, 0.549], [3133, 0.4], [3134, 0.369], [3135, 0.475], + [3136, 0.029], [3137, 0.042], [3138, 0.015], [3139, 0.09], + [3140, 0.021], [3141, 0.052], [3143, 0.009], [3157, 0.528], + [3160, 0.062], [3161, 0.346], [3162, 0.016], [3163, 0.008], + [3165, 0.02], [3174, 0.201], [3176, 0.064], [3177, 0.015], + [3242, 0.036], [3248, 0.062], [3250, 0.067], [3253, 0.126], + [3255, 0.935], [3256, 0.866], [3257, 0.91], [3258, 0.709], + [3259, 0.666], [3260, 0.929], [3261, 0.888], [3262, 0.858], + [3263, 0.939], [3264, 0.777], [3265, 0.899], [3266, 0.855], + [3267, 0.892], [3268, 0.683], [3271, 0.029], [3274, 0.124], + [3276, 0.048], [3280, 0.047], [3299, 0.021], [3305, 0.107], + [3306, 0.071], [3576, 0.235], [3577, 0.449], [3808, 0.064], + [3811, 0.311], [3816, 0.34], [3817, 0.122], [3821, 0.028], + [3822, 0.014], [3836, 0.03], [14358, 1.0], [14359, 1.0], + [14360, 1.0], [14361, 1.0], [14362, 1.0], [14363, 1.0], + [14364, 1.0], [14365, 1.0] + ], + "finger2-2.L": [ + [8566, 0.892], [8567, 0.83], [8568, 0.915], [8569, 0.889], + [8570, 0.339], [8571, 0.332], [8572, 0.382], [8573, 0.511], + [8574, 0.043], [8575, 0.016], [8581, 0.025], [8582, 0.468], + [8583, 0.88], [8585, 0.018], [8586, 0.462], [8587, 0.854], + [8589, 0.024], [8591, 0.036], [8596, 0.026], [8597, 0.031], + [8599, 0.037], [8602, 0.029], [8605, 0.902], [8606, 0.336], + [8608, 0.012], [8609, 0.045], [8610, 0.975], [8611, 0.572], + [8613, 0.01], [8614, 0.022], [8615, 0.031], [8616, 0.018], + [8617, 0.038], [8620, 0.03], [8622, 0.06], [8623, 0.213], + [8624, 0.089], [8625, 0.191], [8626, 0.175], [8627, 0.19], + [8628, 0.106], [8629, 0.25], [8630, 0.099], [8631, 0.083], + [8632, 0.126], [8633, 0.106], [8634, 0.069], [8635, 0.088], + [8636, 0.105], [8637, 0.106], [8638, 0.493], [8639, 0.54], + [8640, 0.482], [8641, 0.509], [8642, 0.744], [8643, 0.66], + [8644, 0.7], [8645, 0.627], [8646, 0.556], [8647, 0.408], + [8648, 0.528], [8649, 0.561], [8650, 0.545], [8651, 0.499], + [8652, 0.559], [8653, 0.453], [8654, 0.91], [8655, 0.805], + [8656, 0.865], [8657, 0.841], [8658, 0.645], [8659, 0.674], + [8660, 0.627], [8661, 0.696], [8662, 0.75], [8663, 0.837], + [8664, 0.851], [8665, 0.753], [8666, 0.378], [8667, 0.352], + [8668, 0.234], [8669, 0.396], [8670, 0.598], [8671, 0.595], + [8672, 0.579], [8673, 0.503], [8674, 0.256], [8675, 0.221], + [8676, 0.247], [8677, 0.361], [8678, 0.758], [8679, 0.667], + [8680, 0.656], [8681, 0.799], [8682, 0.827], [8683, 0.69], + [8684, 0.841], [8685, 0.692], [8686, 0.685], [8687, 0.634], + [8688, 0.608], [8689, 0.682], [8690, 0.652], [8691, 0.536], + [8692, 0.679], [8693, 0.569], [8695, 0.04], [8696, 0.069], + [8697, 0.051], [8698, 0.087], [8699, 0.063], [8700, 0.057], + [8701, 0.074], [8702, 0.95], [8703, 0.553], [8705, 0.011], + [8709, 0.045], [8710, 0.094], [8711, 0.754], [8712, 0.936], + [8713, 0.45], [8714, 0.503], [8715, 0.564], [8716, 0.771], + [8717, 0.627], [8719, 0.678], [8720, 0.883], [8721, 0.632], + [8722, 0.289], [8724, 0.119], [8727, 0.009], [8728, 0.457], + [8729, 0.733], [8730, 0.075], [8731, 0.883], [8733, 0.59], + [8734, 1.0], [8736, 0.021], [8740, 0.016], [8743, 0.026], + [8748, 0.392], [8749, 0.403], [8750, 0.218], [8751, 0.442], + [8752, 0.427], [8753, 0.434], [8754, 0.374], [8755, 0.334], + [8756, 0.245], [8757, 0.191], [9456, 0.893], [9457, 0.925], + [9458, 0.355], [9459, 0.449], [9462, 0.063], [9464, 0.04], + [9465, 0.024], [9466, 0.01], [9468, 0.058], [9469, 0.038], + [9470, 0.143], [9471, 0.097], [9472, 0.638], [9473, 0.695], + [9474, 0.159], [9475, 0.563], [9476, 0.268], [9477, 0.81], + [9478, 0.865], [9479, 0.232], [9480, 0.48], [9481, 0.568], + [9482, 0.325], [9483, 0.177], [9484, 0.652], [9485, 0.765], + [9486, 0.436], [9487, 0.675], [9488, 0.046], [9489, 0.105], + [9493, 0.441], [9494, 0.26], [9612, 0.909], [9613, 0.515], + [9615, 0.026], [9618, 0.911], [9619, 0.512], [9621, 0.01], + [9623, 0.041], [9624, 0.052], [9625, 0.707], [9626, 0.793], + [9627, 0.545], [9628, 0.444], [9629, 0.592], [9630, 0.692], + [9631, 0.608], [9632, 0.01], [9634, 0.016], [9635, 0.588], + [9636, 0.582], [9637, 0.378], [9638, 0.69], [9639, 0.12], + [9642, 0.541], [9643, 0.102], [9644, 0.941], [9645, 0.717], + [9649, 0.399], [9650, 0.305], [13910, 1.0], [13911, 1.0], + [13912, 1.0], [13913, 1.0], [13914, 1.0], [13915, 1.0], + [13916, 1.0], [13917, 1.0] + ], + "finger2-2.R": [ + [1898, 0.892], [1899, 0.83], [1900, 0.915], [1901, 0.889], + [1902, 0.339], [1903, 0.332], [1904, 0.382], [1905, 0.511], + [1906, 0.043], [1907, 0.016], [1913, 0.025], [1914, 0.468], + [1915, 0.88], [1917, 0.018], [1918, 0.462], [1919, 0.854], + [1921, 0.024], [1923, 0.036], [1928, 0.026], [1929, 0.031], + [1931, 0.037], [1934, 0.029], [1937, 0.902], [1938, 0.336], + [1940, 0.012], [1941, 0.045], [1942, 0.975], [1943, 0.572], + [1945, 0.01], [1946, 0.022], [1947, 0.031], [1948, 0.018], + [1949, 0.038], [1952, 0.03], [1954, 0.06], [1955, 0.213], + [1956, 0.089], [1957, 0.191], [1958, 0.175], [1959, 0.19], + [1960, 0.106], [1961, 0.25], [1962, 0.099], [1963, 0.083], + [1964, 0.126], [1965, 0.106], [1966, 0.069], [1967, 0.088], + [1968, 0.105], [1969, 0.106], [1970, 0.493], [1971, 0.54], + [1972, 0.482], [1973, 0.509], [1974, 0.744], [1975, 0.66], + [1976, 0.7], [1977, 0.627], [1978, 0.556], [1979, 0.408], + [1980, 0.528], [1981, 0.561], [1982, 0.545], [1983, 0.499], + [1984, 0.559], [1985, 0.453], [1986, 0.91], [1987, 0.805], + [1988, 0.865], [1989, 0.841], [1990, 0.645], [1991, 0.674], + [1992, 0.627], [1993, 0.696], [1994, 0.75], [1995, 0.837], + [1996, 0.851], [1997, 0.753], [1998, 0.378], [1999, 0.352], + [2000, 0.234], [2001, 0.396], [2002, 0.598], [2003, 0.595], + [2004, 0.579], [2005, 0.503], [2006, 0.256], [2007, 0.221], + [2008, 0.247], [2009, 0.361], [2010, 0.758], [2011, 0.667], + [2012, 0.656], [2013, 0.799], [2014, 0.827], [2015, 0.69], + [2016, 0.841], [2017, 0.692], [2018, 0.685], [2019, 0.634], + [2020, 0.608], [2021, 0.682], [2022, 0.652], [2023, 0.536], + [2024, 0.679], [2025, 0.569], [2027, 0.04], [2028, 0.069], + [2029, 0.051], [2030, 0.087], [2031, 0.063], [2032, 0.057], + [2033, 0.074], [2034, 0.95], [2035, 0.553], [2037, 0.011], + [2041, 0.045], [2042, 0.094], [2043, 0.754], [2044, 0.936], + [2045, 0.45], [2046, 0.503], [2047, 0.564], [2048, 0.771], + [2049, 0.627], [2051, 0.678], [2052, 0.883], [2053, 0.632], + [2054, 0.289], [2056, 0.119], [2059, 0.009], [2060, 0.457], + [2061, 0.733], [2062, 0.075], [2063, 0.883], [2065, 0.59], + [2066, 1.0], [2068, 0.021], [2072, 0.016], [2075, 0.026], + [2080, 0.392], [2081, 0.403], [2082, 0.218], [2083, 0.442], + [2084, 0.427], [2085, 0.434], [2086, 0.374], [2087, 0.334], + [2088, 0.245], [2089, 0.191], [2788, 0.893], [2789, 0.925], + [2790, 0.355], [2791, 0.449], [2794, 0.063], [2796, 0.04], + [2797, 0.024], [2798, 0.01], [2800, 0.058], [2801, 0.038], + [2802, 0.143], [2803, 0.097], [2804, 0.638], [2805, 0.695], + [2806, 0.159], [2807, 0.563], [2808, 0.268], [2809, 0.81], + [2810, 0.865], [2811, 0.232], [2812, 0.48], [2813, 0.568], + [2814, 0.325], [2815, 0.177], [2816, 0.652], [2817, 0.765], + [2818, 0.436], [2819, 0.675], [2820, 0.046], [2821, 0.105], + [2825, 0.441], [2826, 0.26], [2944, 0.909], [2945, 0.515], + [2947, 0.026], [2950, 0.911], [2951, 0.512], [2953, 0.01], + [2955, 0.041], [2956, 0.052], [2957, 0.707], [2958, 0.793], + [2959, 0.545], [2960, 0.444], [2961, 0.592], [2962, 0.692], + [2963, 0.608], [2964, 0.01], [2966, 0.016], [2967, 0.588], + [2968, 0.582], [2969, 0.378], [2970, 0.69], [2971, 0.12], + [2974, 0.541], [2975, 0.102], [2976, 0.941], [2977, 0.717], + [2981, 0.399], [2982, 0.305], [14350, 1.0], [14351, 1.0], + [14352, 1.0], [14353, 1.0], [14354, 1.0], [14355, 1.0], + [14356, 1.0], [14357, 1.0] + ], + "finger2-3.L": [ + [8566, 0.108], [8567, 0.144], [8568, 0.037], [8569, 0.082], + [8583, 0.12], [8587, 0.127], [8590, 1.0], [8591, 0.964], + [8592, 1.0], [8593, 1.0], [8594, 1.0], [8595, 1.0], + [8596, 0.974], [8597, 0.969], [8598, 1.0], [8599, 0.963], + [8600, 1.0], [8601, 1.0], [8602, 0.971], [8603, 1.0], + [8604, 1.0], [8605, 0.06], [8609, 0.956], [8610, 0.015], + [8614, 0.978], [8615, 0.969], [8616, 0.982], [8617, 0.962], + [8618, 1.0], [8619, 1.0], [8620, 0.97], [8621, 1.0], + [8622, 0.94], [8623, 0.787], [8624, 0.911], [8625, 0.809], + [8626, 0.825], [8627, 0.811], [8628, 0.894], [8629, 0.75], + [8646, 0.444], [8647, 0.592], [8648, 0.472], [8649, 0.439], + [8650, 0.455], [8651, 0.501], [8652, 0.441], [8653, 0.547], + [8678, 0.242], [8679, 0.333], [8680, 0.344], [8681, 0.201], + [8682, 0.173], [8683, 0.31], [8684, 0.159], [8685, 0.308], + [8686, 0.315], [8687, 0.366], [8688, 0.392], [8689, 0.318], + [8690, 0.347], [8691, 0.463], [8692, 0.321], [8693, 0.431], + [8694, 1.0], [8695, 0.96], [8696, 0.931], [8697, 0.949], + [8698, 0.913], [8699, 0.937], [8700, 0.943], [8701, 0.926], + [8702, 0.029], [8706, 1.0], [8707, 1.0], [8708, 1.0], + [8709, 0.955], [8713, 0.55], [8716, 0.229], [8717, 0.373], + [8718, 1.0], [8719, 0.322], [8720, 0.117], [8723, 1.0], + [8725, 1.0], [8726, 1.0], [8728, 0.543], [8730, 0.925], + [8735, 1.0], [8736, 0.979], [8737, 1.0], [8738, 1.0], + [8739, 1.0], [8740, 0.984], [8741, 1.0], [8742, 1.0], + [8743, 0.974], [8744, 1.0], [8745, 1.0], [8746, 1.0], + [8747, 1.0], [8748, 0.608], [8749, 0.597], [8750, 0.782], + [8751, 0.558], [8752, 0.573], [8753, 0.566], [8754, 0.626], + [8755, 0.666], [8756, 0.755], [8757, 0.809], [9456, 0.09], + [9457, 0.042], [9464, 0.96], [9465, 0.976], [9466, 0.99], + [9467, 1.0], [9468, 0.942], [9469, 0.962], [9474, 0.841], + [9475, 0.437], [9476, 0.732], [9479, 0.768], [9484, 0.348], + [9485, 0.235], [9486, 0.564], [9487, 0.325], [9488, 0.954], + [9489, 0.895], [9490, 1.0], [9491, 1.0], [9492, 1.0], + [9493, 0.559], [9494, 0.74], [9612, 0.071], [9616, 1.0], + [9617, 1.0], [9618, 0.089], [9622, 1.0], [9623, 0.959], + [9627, 0.455], [9630, 0.308], [9631, 0.393], [9632, 0.99], + [9633, 1.0], [9634, 0.984], [9635, 0.412], [9638, 0.31], + [9640, 1.0], [9641, 1.0], [9642, 0.459], [9643, 0.898], + [9646, 1.0], [9647, 1.0], [9648, 1.0], [9649, 0.601], + [9650, 0.695], [13854, 1.0], [13855, 1.0], [13856, 1.0], + [13857, 1.0], [13858, 1.0], [13859, 1.0], [13860, 1.0], + [13861, 1.0] + ], + "finger2-3.R": [ + [1898, 0.108], [1899, 0.144], [1900, 0.037], [1901, 0.082], + [1915, 0.12], [1919, 0.127], [1922, 1.0], [1923, 0.964], + [1924, 1.0], [1925, 1.0], [1926, 1.0], [1927, 1.0], + [1928, 0.974], [1929, 0.969], [1930, 1.0], [1931, 0.963], + [1932, 1.0], [1933, 1.0], [1934, 0.971], [1935, 1.0], + [1936, 1.0], [1937, 0.06], [1941, 0.956], [1942, 0.015], + [1946, 0.978], [1947, 0.969], [1948, 0.982], [1949, 0.962], + [1950, 1.0], [1951, 1.0], [1952, 0.97], [1953, 1.0], + [1954, 0.94], [1955, 0.787], [1956, 0.911], [1957, 0.809], + [1958, 0.825], [1959, 0.811], [1960, 0.894], [1961, 0.75], + [1978, 0.444], [1979, 0.592], [1980, 0.472], [1981, 0.439], + [1982, 0.455], [1983, 0.501], [1984, 0.441], [1985, 0.547], + [2010, 0.242], [2011, 0.333], [2012, 0.344], [2013, 0.201], + [2014, 0.173], [2015, 0.31], [2016, 0.159], [2017, 0.308], + [2018, 0.315], [2019, 0.366], [2020, 0.392], [2021, 0.318], + [2022, 0.347], [2023, 0.463], [2024, 0.321], [2025, 0.431], + [2026, 1.0], [2027, 0.96], [2028, 0.931], [2029, 0.949], + [2030, 0.913], [2031, 0.937], [2032, 0.943], [2033, 0.926], + [2034, 0.029], [2038, 1.0], [2039, 1.0], [2040, 1.0], + [2041, 0.955], [2045, 0.55], [2048, 0.229], [2049, 0.373], + [2050, 1.0], [2051, 0.322], [2052, 0.117], [2055, 1.0], + [2057, 1.0], [2058, 1.0], [2060, 0.543], [2062, 0.925], + [2067, 1.0], [2068, 0.979], [2069, 1.0], [2070, 1.0], + [2071, 1.0], [2072, 0.984], [2073, 1.0], [2074, 1.0], + [2075, 0.974], [2076, 1.0], [2077, 1.0], [2078, 1.0], + [2079, 1.0], [2080, 0.608], [2081, 0.597], [2082, 0.782], + [2083, 0.558], [2084, 0.573], [2085, 0.566], [2086, 0.626], + [2087, 0.666], [2088, 0.755], [2089, 0.809], [2788, 0.09], + [2789, 0.042], [2796, 0.96], [2797, 0.976], [2798, 0.99], + [2799, 1.0], [2800, 0.942], [2801, 0.962], [2806, 0.841], + [2807, 0.437], [2808, 0.732], [2811, 0.768], [2816, 0.348], + [2817, 0.235], [2818, 0.564], [2819, 0.325], [2820, 0.954], + [2821, 0.895], [2822, 1.0], [2823, 1.0], [2824, 1.0], + [2825, 0.559], [2826, 0.74], [2944, 0.071], [2948, 1.0], + [2949, 1.0], [2950, 0.089], [2954, 1.0], [2955, 0.959], + [2959, 0.455], [2962, 0.308], [2963, 0.393], [2964, 0.99], + [2965, 1.0], [2966, 0.984], [2967, 0.412], [2970, 0.31], + [2972, 1.0], [2973, 1.0], [2974, 0.459], [2975, 0.898], + [2978, 1.0], [2979, 1.0], [2980, 1.0], [2981, 0.601], + [2982, 0.695], [14294, 1.0], [14295, 1.0], [14296, 1.0], + [14297, 1.0], [14298, 1.0], [14299, 1.0], [14300, 1.0], + [14301, 1.0] + ], + "finger3-1.L": [ + [8575, 0.161], [8578, 0.071], [8579, 0.321], [8584, 0.425], + [8585, 0.149], [8607, 0.035], [8612, 0.116], [8613, 0.01], + [8630, 0.018], [8633, 0.012], [8727, 0.019], [8732, 0.232], + [8759, 0.062], [8762, 0.583], [8763, 0.612], [8764, 0.474], + [8765, 0.567], [8766, 0.963], [8767, 0.98], [8768, 0.964], + [8769, 0.801], [8770, 0.823], [8771, 0.764], [8772, 0.555], + [8773, 0.969], [8774, 0.572], [8776, 0.674], [8777, 0.92], + [8778, 0.444], [8779, 0.071], [8780, 0.556], [8781, 0.962], + [8798, 0.609], [8799, 0.862], [8800, 0.957], [8803, 0.413], + [8804, 0.751], [8805, 0.98], [8822, 0.902], [8823, 0.947], + [8824, 0.969], [8825, 0.849], [8826, 0.97], [8827, 0.97], + [8828, 0.942], [8829, 0.965], [8830, 0.425], [8831, 0.41], + [8832, 0.399], [8833, 0.369], [8834, 0.139], [8835, 0.143], + [8836, 0.204], [8837, 0.253], [8846, 0.013], [8847, 0.017], + [8848, 0.062], [8849, 0.035], [8850, 0.144], [8851, 0.15], + [8852, 0.257], [8853, 0.181], [8854, 0.182], [8855, 0.081], + [8856, 0.06], [8857, 0.132], [8858, 0.713], [8859, 0.739], + [8860, 0.8], [8861, 0.614], [8862, 0.305], [8863, 0.48], + [8864, 0.448], [8865, 0.455], [8866, 0.587], [8867, 0.745], + [8868, 0.804], [8869, 0.532], [8895, 0.453], [8896, 0.452], + [8897, 0.992], [8902, 0.988], [8903, 0.135], [8904, 0.03], + [8906, 0.804], [8907, 0.306], [8913, 0.306], [8914, 0.596], + [8916, 0.96], [8919, 0.953], [8921, 0.176], [8923, 0.012], + [8924, 0.656], [8925, 0.405], [8958, 0.099], [8961, 0.129], + [8962, 0.01], [8964, 0.377], [8965, 0.054], [8972, 0.422], + [8973, 0.104], [8991, 0.059], [8996, 0.054], [9018, 0.064], + [9019, 0.058], [9088, 0.211], [9089, 0.037], [9094, 0.012], + [9460, 0.21], [9463, 0.047], [9496, 0.035], [9497, 0.595], + [9498, 0.58], [9499, 0.72], [9500, 0.61], [9501, 1.0], + [9502, 1.0], [9509, 0.99], [9510, 0.943], [9511, 0.201], + [9512, 0.153], [9516, 0.167], [9517, 0.062], [9519, 0.312], + [9520, 0.454], [9521, 0.811], [9522, 0.667], [9539, 0.348], + [9540, 0.086], [9548, 0.034], [9620, 0.352], [9621, 0.081], + [9652, 0.495], [9653, 0.51], [9654, 0.982], [9658, 0.441], + [9659, 0.683], [9660, 0.942], [9663, 0.99], [9664, 0.227], + [9665, 0.016], [9667, 0.706], [9668, 0.387], [9675, 0.382], + [9676, 0.517], [9678, 0.805], [9683, 0.012], [9684, 0.191], + [9692, 0.316], [9693, 0.084], [9702, 0.055], [9769, 0.12], + [9772, 0.06], [9773, 0.067], [9774, 0.04], [9775, 0.095], + [9776, 0.573], [9777, 0.525], [9778, 0.597], [9779, 0.382], + [9780, 0.324], [9781, 0.347], [9782, 0.201], [9783, 0.046], + [9784, 0.086], [9785, 0.058], [9786, 0.154], [9800, 0.014], + [9801, 0.097], [9803, 0.055], [9804, 0.005], [9806, 0.01], + [9807, 0.374], [9808, 0.358], [9809, 0.3], [9810, 0.058], + [9811, 0.067], [9812, 0.054], [9813, 0.124], [9814, 0.054], + [9815, 0.075], [9817, 0.007], [9825, 0.018], [9829, 0.06], + [9833, 0.161], [9841, 0.145], [9842, 0.112], [9844, 0.01], + [9862, 0.28], [9889, 0.203], [9892, 0.058], [9905, 0.388], + [9910, 0.089], [9911, 0.084], [9916, 0.039], [9917, 0.097], + [9918, 0.02], [9921, 0.27], [9925, 0.031], [9926, 0.216], + [9927, 0.244], [9929, 0.015], [9930, 0.049], [9932, 0.098], + [9934, 0.09], [9936, 0.188], [9937, 0.922], [9938, 0.965], + [9939, 0.971], [9940, 0.901], [9941, 0.939], [9942, 0.864], + [9943, 0.893], [9944, 0.88], [9947, 0.915], [9948, 0.953], + [9949, 0.15], [9952, 0.183], [9953, 0.171], [9954, 0.075], + [9955, 0.053], [9957, 0.132], [9961, 0.026], [9962, 0.011], + [9971, 0.919], [9972, 0.949], [9973, 0.866], [9974, 0.92], + [10244, 0.44], [10245, 0.222], [10246, 0.053], [10474, 0.156], + [10476, 0.07], [10477, 0.021], [10478, 0.163], [10479, 0.138], + [10483, 0.042], [13926, 1.0], [13927, 1.0], [13928, 1.0], + [13929, 1.0], [13930, 1.0], [13931, 1.0], [13932, 1.0], + [13933, 1.0] + ], + "finger3-1.R": [ + [1907, 0.161], [1910, 0.071], [1911, 0.321], [1916, 0.425], + [1917, 0.149], [1939, 0.035], [1944, 0.116], [1945, 0.01], + [1962, 0.018], [1965, 0.012], [2059, 0.019], [2064, 0.232], + [2091, 0.062], [2094, 0.583], [2095, 0.612], [2096, 0.474], + [2097, 0.567], [2098, 0.963], [2099, 0.98], [2100, 0.964], + [2101, 0.801], [2102, 0.823], [2103, 0.764], [2104, 0.555], + [2105, 0.969], [2106, 0.572], [2108, 0.674], [2109, 0.92], + [2110, 0.444], [2111, 0.071], [2112, 0.556], [2113, 0.962], + [2130, 0.609], [2131, 0.862], [2132, 0.957], [2135, 0.413], + [2136, 0.751], [2137, 0.98], [2154, 0.902], [2155, 0.947], + [2156, 0.969], [2157, 0.849], [2158, 0.97], [2159, 0.97], + [2160, 0.942], [2161, 0.965], [2162, 0.425], [2163, 0.41], + [2164, 0.399], [2165, 0.369], [2166, 0.139], [2167, 0.143], + [2168, 0.204], [2169, 0.253], [2178, 0.013], [2179, 0.017], + [2180, 0.062], [2181, 0.035], [2182, 0.144], [2183, 0.15], + [2184, 0.257], [2185, 0.181], [2186, 0.182], [2187, 0.081], + [2188, 0.06], [2189, 0.132], [2190, 0.713], [2191, 0.739], + [2192, 0.8], [2193, 0.614], [2194, 0.305], [2195, 0.48], + [2196, 0.448], [2197, 0.455], [2198, 0.587], [2199, 0.745], + [2200, 0.804], [2201, 0.532], [2227, 0.453], [2228, 0.452], + [2229, 0.992], [2234, 0.988], [2235, 0.135], [2236, 0.03], + [2238, 0.804], [2239, 0.306], [2245, 0.306], [2246, 0.596], + [2248, 0.96], [2251, 0.953], [2253, 0.176], [2255, 0.012], + [2256, 0.656], [2257, 0.405], [2290, 0.099], [2293, 0.129], + [2294, 0.01], [2296, 0.377], [2297, 0.054], [2304, 0.422], + [2305, 0.104], [2323, 0.059], [2328, 0.054], [2350, 0.064], + [2351, 0.058], [2420, 0.211], [2421, 0.037], [2426, 0.012], + [2792, 0.21], [2795, 0.047], [2828, 0.035], [2829, 0.595], + [2830, 0.58], [2831, 0.72], [2832, 0.61], [2833, 1.0], + [2834, 1.0], [2841, 0.99], [2842, 0.943], [2843, 0.201], + [2844, 0.153], [2848, 0.167], [2849, 0.062], [2851, 0.312], + [2852, 0.454], [2853, 0.811], [2854, 0.667], [2871, 0.348], + [2872, 0.086], [2880, 0.034], [2952, 0.352], [2953, 0.081], + [2984, 0.495], [2985, 0.51], [2986, 0.982], [2990, 0.441], + [2991, 0.683], [2992, 0.942], [2995, 0.99], [2996, 0.227], + [2997, 0.016], [2999, 0.706], [3000, 0.387], [3007, 0.382], + [3008, 0.517], [3010, 0.805], [3015, 0.012], [3016, 0.191], + [3024, 0.316], [3025, 0.084], [3034, 0.055], [3101, 0.12], + [3104, 0.06], [3105, 0.067], [3106, 0.04], [3107, 0.095], + [3108, 0.573], [3109, 0.525], [3110, 0.597], [3111, 0.382], + [3112, 0.324], [3113, 0.347], [3114, 0.201], [3115, 0.046], + [3116, 0.086], [3117, 0.058], [3118, 0.154], [3132, 0.014], + [3133, 0.097], [3135, 0.055], [3136, 0.005], [3138, 0.01], + [3139, 0.374], [3140, 0.358], [3141, 0.3], [3142, 0.058], + [3143, 0.067], [3144, 0.054], [3145, 0.124], [3146, 0.054], + [3147, 0.075], [3149, 0.007], [3157, 0.018], [3161, 0.06], + [3165, 0.161], [3173, 0.145], [3174, 0.112], [3176, 0.01], + [3194, 0.28], [3221, 0.203], [3224, 0.058], [3237, 0.388], + [3242, 0.089], [3243, 0.084], [3248, 0.039], [3249, 0.097], + [3250, 0.02], [3253, 0.27], [3257, 0.031], [3258, 0.216], + [3259, 0.244], [3261, 0.015], [3262, 0.049], [3264, 0.098], + [3266, 0.09], [3268, 0.188], [3269, 0.922], [3270, 0.965], + [3271, 0.971], [3272, 0.901], [3273, 0.939], [3274, 0.864], + [3275, 0.893], [3276, 0.88], [3279, 0.915], [3280, 0.953], + [3281, 0.15], [3284, 0.183], [3285, 0.171], [3286, 0.075], + [3287, 0.053], [3289, 0.132], [3293, 0.026], [3294, 0.011], + [3303, 0.919], [3304, 0.949], [3305, 0.866], [3306, 0.92], + [3576, 0.44], [3577, 0.222], [3578, 0.053], [3808, 0.156], + [3810, 0.07], [3811, 0.021], [3812, 0.163], [3813, 0.138], + [3817, 0.042], [14366, 1.0], [14367, 1.0], [14368, 1.0], + [14369, 1.0], [14370, 1.0], [14371, 1.0], [14372, 1.0], + [14373, 1.0] + ], + "finger3-2.L": [ + [8758, 0.893], [8759, 0.773], [8760, 0.945], [8761, 0.911], + [8762, 0.417], [8763, 0.388], [8764, 0.526], [8765, 0.433], + [8766, 0.018], [8767, 0.02], [8768, 0.036], [8773, 0.031], + [8774, 0.428], [8775, 0.871], [8777, 0.065], [8778, 0.556], + [8779, 0.781], [8781, 0.015], [8783, 0.055], [8788, 0.046], + [8789, 0.062], [8791, 0.036], [8794, 0.018], [8797, 0.942], + [8798, 0.391], [8800, 0.043], [8801, 0.031], [8802, 0.917], + [8803, 0.587], [8805, 0.02], [8806, 0.078], [8807, 0.015], + [8809, 0.071], [8812, 0.088], [8814, 0.009], [8815, 0.203], + [8816, 0.078], [8817, 0.137], [8818, 0.187], [8819, 0.224], + [8820, 0.125], [8821, 0.186], [8822, 0.098], [8823, 0.054], + [8824, 0.031], [8825, 0.151], [8826, 0.03], [8827, 0.03], + [8828, 0.058], [8829, 0.036], [8830, 0.575], [8831, 0.59], + [8832, 0.601], [8833, 0.631], [8834, 0.861], [8835, 0.857], + [8836, 0.797], [8837, 0.747], [8838, 0.365], [8839, 0.389], + [8840, 0.507], [8841, 0.432], [8842, 0.43], [8843, 0.442], + [8844, 0.431], [8845, 0.285], [8846, 0.987], [8847, 0.983], + [8848, 0.938], [8849, 0.965], [8850, 0.856], [8851, 0.85], + [8852, 0.743], [8853, 0.82], [8854, 0.818], [8855, 0.919], + [8856, 0.94], [8857, 0.868], [8858, 0.287], [8859, 0.261], + [8860, 0.2], [8861, 0.386], [8862, 0.695], [8863, 0.52], + [8864, 0.552], [8865, 0.545], [8866, 0.413], [8867, 0.255], + [8868, 0.196], [8869, 0.468], [8870, 0.625], [8871, 0.651], + [8872, 0.607], [8873, 0.766], [8874, 0.856], [8875, 0.615], + [8876, 0.771], [8877, 0.54], [8878, 0.494], [8879, 0.579], + [8880, 0.541], [8881, 0.597], [8882, 0.543], [8883, 0.521], + [8884, 0.6], [8885, 0.529], [8887, 0.021], [8888, 0.095], + [8890, 0.045], [8891, 0.112], [8892, 0.104], [8893, 0.058], + [8894, 0.921], [8895, 0.547], [8897, 0.008], [8901, 0.025], + [8902, 0.012], [8903, 0.865], [8904, 0.97], [8905, 0.23], + [8906, 0.196], [8907, 0.694], [8908, 0.825], [8909, 0.474], + [8911, 0.605], [8912, 0.937], [8913, 0.694], [8914, 0.404], + [8916, 0.04], [8919, 0.047], [8920, 0.369], [8921, 0.824], + [8922, 0.011], [8923, 0.988], [8925, 0.595], [8926, 0.887], + [8928, 0.019], [8932, 0.011], [8935, 0.022], [8940, 0.34], + [8941, 0.375], [8942, 0.077], [8943, 0.285], [8944, 0.323], + [8945, 0.302], [8946, 0.25], [8947, 0.241], [8948, 0.06], + [8949, 0.163], [9495, 0.87], [9496, 0.824], [9497, 0.405], + [9498, 0.42], [9503, 0.027], [9505, 0.008], [9507, 0.037], + [9508, 0.055], [9509, 0.01], [9510, 0.057], [9511, 0.799], + [9512, 0.847], [9513, 0.169], [9514, 0.441], [9515, 0.378], + [9516, 0.833], [9517, 0.938], [9518, 0.16], [9519, 0.688], + [9520, 0.546], [9521, 0.189], [9522, 0.333], [9523, 0.68], + [9524, 0.629], [9525, 0.486], [9526, 0.56], [9527, 0.074], + [9528, 0.086], [9532, 0.315], [9533, 0.271], [9651, 0.861], + [9652, 0.505], [9654, 0.01], [9657, 0.823], [9658, 0.559], + [9660, 0.058], [9662, 0.025], [9663, 0.01], [9664, 0.773], + [9665, 0.984], [9666, 0.363], [9667, 0.294], [9668, 0.613], + [9669, 0.602], [9670, 0.501], [9674, 0.495], [9675, 0.618], + [9676, 0.483], [9677, 0.578], [9678, 0.195], [9681, 0.384], + [9682, 0.028], [9683, 0.988], [9684, 0.809], [9688, 0.247], + [9689, 0.263], [13902, 1.0], [13903, 1.0], [13904, 1.0], + [13905, 1.0], [13906, 1.0], [13907, 1.0], [13908, 1.0], + [13909, 1.0] + ], + "finger3-2.R": [ + [2090, 0.893], [2091, 0.773], [2092, 0.945], [2093, 0.911], + [2094, 0.417], [2095, 0.388], [2096, 0.526], [2097, 0.433], + [2098, 0.018], [2099, 0.02], [2100, 0.036], [2105, 0.031], + [2106, 0.428], [2107, 0.871], [2109, 0.065], [2110, 0.556], + [2111, 0.781], [2113, 0.015], [2115, 0.055], [2120, 0.046], + [2121, 0.062], [2123, 0.036], [2126, 0.018], [2129, 0.942], + [2130, 0.391], [2132, 0.043], [2133, 0.031], [2134, 0.917], + [2135, 0.587], [2137, 0.02], [2138, 0.078], [2139, 0.015], + [2141, 0.071], [2144, 0.088], [2146, 0.009], [2147, 0.203], + [2148, 0.078], [2149, 0.137], [2150, 0.187], [2151, 0.224], + [2152, 0.125], [2153, 0.186], [2154, 0.098], [2155, 0.054], + [2156, 0.031], [2157, 0.151], [2158, 0.03], [2159, 0.03], + [2160, 0.058], [2161, 0.036], [2162, 0.575], [2163, 0.59], + [2164, 0.601], [2165, 0.631], [2166, 0.861], [2167, 0.857], + [2168, 0.797], [2169, 0.747], [2170, 0.365], [2171, 0.389], + [2172, 0.507], [2173, 0.432], [2174, 0.43], [2175, 0.442], + [2176, 0.431], [2177, 0.285], [2178, 0.987], [2179, 0.983], + [2180, 0.938], [2181, 0.965], [2182, 0.856], [2183, 0.85], + [2184, 0.743], [2185, 0.82], [2186, 0.818], [2187, 0.919], + [2188, 0.94], [2189, 0.868], [2190, 0.287], [2191, 0.261], + [2192, 0.2], [2193, 0.386], [2194, 0.695], [2195, 0.52], + [2196, 0.552], [2197, 0.545], [2198, 0.413], [2199, 0.255], + [2200, 0.196], [2201, 0.468], [2202, 0.625], [2203, 0.651], + [2204, 0.607], [2205, 0.766], [2206, 0.856], [2207, 0.615], + [2208, 0.771], [2209, 0.54], [2210, 0.494], [2211, 0.579], + [2212, 0.541], [2213, 0.597], [2214, 0.543], [2215, 0.521], + [2216, 0.6], [2217, 0.529], [2219, 0.021], [2220, 0.095], + [2222, 0.045], [2223, 0.112], [2224, 0.104], [2225, 0.058], + [2226, 0.921], [2227, 0.547], [2229, 0.008], [2233, 0.025], + [2234, 0.012], [2235, 0.865], [2236, 0.97], [2237, 0.23], + [2238, 0.196], [2239, 0.694], [2240, 0.825], [2241, 0.474], + [2243, 0.605], [2244, 0.937], [2245, 0.694], [2246, 0.404], + [2248, 0.04], [2251, 0.047], [2252, 0.369], [2253, 0.824], + [2254, 0.011], [2255, 0.988], [2257, 0.595], [2258, 0.887], + [2260, 0.019], [2264, 0.011], [2267, 0.022], [2272, 0.34], + [2273, 0.375], [2274, 0.077], [2275, 0.285], [2276, 0.323], + [2277, 0.302], [2278, 0.25], [2279, 0.241], [2280, 0.06], + [2281, 0.163], [2827, 0.87], [2828, 0.824], [2829, 0.405], + [2830, 0.42], [2835, 0.027], [2837, 0.008], [2839, 0.037], + [2840, 0.055], [2841, 0.01], [2842, 0.057], [2843, 0.799], + [2844, 0.847], [2845, 0.169], [2846, 0.441], [2847, 0.378], + [2848, 0.833], [2849, 0.938], [2850, 0.16], [2851, 0.688], + [2852, 0.546], [2853, 0.189], [2854, 0.333], [2855, 0.68], + [2856, 0.629], [2857, 0.486], [2858, 0.56], [2859, 0.074], + [2860, 0.086], [2864, 0.315], [2865, 0.271], [2983, 0.861], + [2984, 0.505], [2986, 0.01], [2989, 0.823], [2990, 0.559], + [2992, 0.058], [2994, 0.025], [2995, 0.01], [2996, 0.773], + [2997, 0.984], [2998, 0.363], [2999, 0.294], [3000, 0.613], + [3001, 0.602], [3002, 0.501], [3006, 0.495], [3007, 0.618], + [3008, 0.483], [3009, 0.578], [3010, 0.195], [3013, 0.384], + [3014, 0.028], [3015, 0.988], [3016, 0.809], [3020, 0.247], + [3021, 0.263], [14342, 1.0], [14343, 1.0], [14344, 1.0], + [14345, 1.0], [14346, 1.0], [14347, 1.0], [14348, 1.0], + [14349, 1.0] + ], + "finger3-3.L": [ + [8758, 0.107], [8759, 0.165], [8760, 0.055], [8761, 0.089], + [8775, 0.129], [8779, 0.148], [8782, 1.0], [8783, 0.945], + [8784, 1.0], [8785, 1.0], [8786, 1.0], [8787, 1.0], + [8788, 0.954], [8789, 0.938], [8790, 1.0], [8791, 0.964], + [8792, 1.0], [8793, 1.0], [8794, 0.982], [8795, 1.0], + [8796, 1.0], [8797, 0.058], [8801, 0.969], [8802, 0.083], + [8806, 0.922], [8807, 0.985], [8808, 1.0], [8809, 0.929], + [8810, 1.0], [8811, 1.0], [8812, 0.912], [8813, 1.0], + [8814, 0.99], [8815, 0.797], [8816, 0.922], [8817, 0.863], + [8818, 0.813], [8819, 0.776], [8820, 0.875], [8821, 0.814], + [8838, 0.635], [8839, 0.611], [8840, 0.493], [8841, 0.568], + [8842, 0.57], [8843, 0.558], [8844, 0.57], [8845, 0.715], + [8870, 0.375], [8871, 0.349], [8872, 0.393], [8873, 0.234], + [8874, 0.144], [8875, 0.385], [8876, 0.229], [8877, 0.46], + [8878, 0.506], [8879, 0.421], [8880, 0.459], [8881, 0.403], + [8882, 0.457], [8883, 0.479], [8884, 0.4], [8885, 0.472], + [8886, 1.0], [8887, 0.979], [8888, 0.905], [8889, 1.0], + [8890, 0.955], [8891, 0.888], [8892, 0.896], [8893, 0.942], + [8894, 0.079], [8898, 1.0], [8899, 1.0], [8900, 1.0], + [8901, 0.975], [8905, 0.77], [8908, 0.175], [8909, 0.526], + [8910, 1.0], [8911, 0.394], [8912, 0.063], [8915, 0.979], + [8917, 1.0], [8918, 1.0], [8920, 0.631], [8922, 0.989], + [8926, 0.113], [8927, 1.0], [8928, 0.981], [8929, 1.0], + [8930, 1.0], [8931, 1.0], [8932, 0.989], [8933, 1.0], + [8934, 1.0], [8935, 0.979], [8936, 1.0], [8937, 1.0], + [8938, 1.0], [8939, 1.0], [8940, 0.66], [8941, 0.625], + [8942, 0.923], [8943, 0.715], [8944, 0.677], [8945, 0.698], + [8946, 0.75], [8947, 0.759], [8948, 0.94], [8949, 0.837], + [9495, 0.13], [9496, 0.141], [9503, 0.973], [9504, 1.0], + [9505, 0.992], [9506, 1.0], [9507, 0.963], [9508, 0.945], + [9513, 0.831], [9514, 0.559], [9515, 0.622], [9518, 0.84], + [9523, 0.32], [9524, 0.371], [9525, 0.514], [9526, 0.44], + [9527, 0.926], [9528, 0.914], [9529, 1.0], [9530, 1.0], + [9531, 1.0], [9532, 0.685], [9533, 0.729], [9651, 0.139], + [9655, 1.0], [9656, 1.0], [9657, 0.177], [9661, 1.0], + [9662, 0.975], [9666, 0.637], [9669, 0.398], [9670, 0.5], + [9671, 1.0], [9672, 1.0], [9673, 1.0], [9674, 0.505], + [9677, 0.422], [9679, 1.0], [9680, 1.0], [9681, 0.616], + [9682, 0.972], [9685, 1.0], [9686, 1.0], [9687, 1.0], + [9688, 0.753], [9689, 0.737], [13862, 1.0], [13863, 1.0], + [13864, 1.0], [13865, 1.0], [13866, 1.0], [13867, 1.0], + [13868, 1.0], [13869, 1.0] + ], + "finger3-3.R": [ + [2090, 0.107], [2091, 0.165], [2092, 0.055], [2093, 0.089], + [2107, 0.129], [2111, 0.148], [2114, 1.0], [2115, 0.945], + [2116, 1.0], [2117, 1.0], [2118, 1.0], [2119, 1.0], + [2120, 0.954], [2121, 0.938], [2122, 1.0], [2123, 0.964], + [2124, 1.0], [2125, 1.0], [2126, 0.982], [2127, 1.0], + [2128, 1.0], [2129, 0.058], [2133, 0.969], [2134, 0.083], + [2138, 0.922], [2139, 0.985], [2140, 1.0], [2141, 0.929], + [2142, 1.0], [2143, 1.0], [2144, 0.912], [2145, 1.0], + [2146, 0.99], [2147, 0.797], [2148, 0.922], [2149, 0.863], + [2150, 0.813], [2151, 0.776], [2152, 0.875], [2153, 0.814], + [2170, 0.635], [2171, 0.611], [2172, 0.493], [2173, 0.568], + [2174, 0.57], [2175, 0.558], [2176, 0.57], [2177, 0.715], + [2202, 0.375], [2203, 0.349], [2204, 0.393], [2205, 0.234], + [2206, 0.144], [2207, 0.385], [2208, 0.229], [2209, 0.46], + [2210, 0.506], [2211, 0.421], [2212, 0.459], [2213, 0.403], + [2214, 0.457], [2215, 0.479], [2216, 0.4], [2217, 0.472], + [2218, 1.0], [2219, 0.979], [2220, 0.905], [2221, 1.0], + [2222, 0.955], [2223, 0.888], [2224, 0.896], [2225, 0.942], + [2226, 0.079], [2230, 1.0], [2231, 1.0], [2232, 1.0], + [2233, 0.975], [2237, 0.77], [2240, 0.175], [2241, 0.526], + [2242, 1.0], [2243, 0.394], [2244, 0.063], [2247, 0.979], + [2249, 1.0], [2250, 1.0], [2252, 0.631], [2254, 0.989], + [2258, 0.113], [2259, 1.0], [2260, 0.981], [2261, 1.0], + [2262, 1.0], [2263, 1.0], [2264, 0.989], [2265, 1.0], + [2266, 1.0], [2267, 0.979], [2268, 1.0], [2269, 1.0], + [2270, 1.0], [2271, 1.0], [2272, 0.66], [2273, 0.625], + [2274, 0.923], [2275, 0.715], [2276, 0.677], [2277, 0.698], + [2278, 0.75], [2279, 0.759], [2280, 0.94], [2281, 0.837], + [2827, 0.13], [2828, 0.141], [2835, 0.973], [2836, 1.0], + [2837, 0.992], [2838, 1.0], [2839, 0.963], [2840, 0.945], + [2845, 0.831], [2846, 0.559], [2847, 0.622], [2850, 0.84], + [2855, 0.32], [2856, 0.371], [2857, 0.514], [2858, 0.44], + [2859, 0.926], [2860, 0.914], [2861, 1.0], [2862, 1.0], + [2863, 1.0], [2864, 0.685], [2865, 0.729], [2983, 0.139], + [2987, 1.0], [2988, 1.0], [2989, 0.177], [2993, 1.0], + [2994, 0.975], [2998, 0.637], [3001, 0.398], [3002, 0.5], + [3003, 1.0], [3004, 1.0], [3005, 1.0], [3006, 0.505], + [3009, 0.422], [3011, 1.0], [3012, 1.0], [3013, 0.616], + [3014, 0.972], [3017, 1.0], [3018, 1.0], [3019, 1.0], + [3020, 0.753], [3021, 0.737], [14302, 1.0], [14303, 1.0], + [14304, 1.0], [14305, 1.0], [14306, 1.0], [14307, 1.0], + [14308, 1.0], [14309, 1.0] + ], + "finger4-1.L": [ + [8770, 0.089], [8771, 0.236], [8776, 0.326], [8777, 0.015], + [8799, 0.02], [8804, 0.047], [8924, 0.195], [8950, 0.043], + [8951, 0.013], [8952, 0.013], [8953, 0.018], [8954, 0.599], + [8955, 0.591], [8956, 0.569], [8957, 0.567], [8958, 0.856], + [8959, 1.0], [8960, 1.0], [8961, 0.776], [8962, 0.796], + [8963, 0.694], [8964, 0.623], [8965, 0.922], [8966, 0.552], + [8967, 0.047], [8968, 0.65], [8969, 0.97], [8970, 0.532], + [8971, 0.014], [8972, 0.578], [8973, 0.863], [8989, 0.024], + [8990, 0.646], [8991, 0.834], [8992, 1.0], [8995, 0.753], + [8996, 0.755], [8997, 1.0], [9014, 0.915], [9015, 0.957], + [9016, 0.925], [9017, 0.911], [9018, 0.871], [9019, 0.878], + [9020, 0.941], [9021, 0.984], [9022, 0.489], [9023, 0.511], + [9024, 0.443], [9025, 0.527], [9026, 0.449], [9027, 0.33], + [9028, 0.413], [9029, 0.416], [9038, 0.285], [9039, 0.352], + [9040, 0.314], [9041, 0.309], [9042, 0.329], [9043, 0.345], + [9044, 0.425], [9045, 0.377], [9046, 0.316], [9047, 0.23], + [9048, 0.263], [9049, 0.344], [9050, 0.607], [9051, 0.679], + [9052, 0.793], [9053, 0.858], [9054, 0.616], [9055, 0.5], + [9056, 0.463], [9057, 0.481], [9058, 0.803], [9059, 0.821], + [9060, 0.719], [9061, 0.644], [9087, 0.62], [9088, 0.662], + [9089, 0.963], [9094, 0.942], [9095, 0.461], [9096, 0.374], + [9098, 0.679], [9099, 0.52], [9105, 0.647], [9106, 0.935], + [9108, 1.0], [9111, 1.0], [9113, 0.477], [9115, 0.185], + [9116, 0.618], [9117, 0.626], [9150, 0.167], [9153, 0.119], + [9154, 0.032], [9156, 0.408], [9157, 0.044], [9158, 0.016], + [9164, 0.399], [9165, 0.198], [9183, 0.069], [9188, 0.04], + [9210, 0.095], [9211, 0.096], [9242, 0.106], [9243, 0.04], + [9280, 0.205], [9281, 0.044], [9286, 0.01], [9499, 0.226], + [9534, 0.053], [9535, 0.018], [9536, 0.613], [9537, 0.577], + [9538, 0.555], [9539, 0.599], [9540, 0.876], [9541, 1.0], + [9548, 0.885], [9549, 0.907], [9550, 0.354], [9551, 0.393], + [9555, 0.294], [9556, 0.324], [9558, 0.396], [9559, 0.491], + [9560, 0.728], [9561, 0.765], [9578, 0.278], [9579, 0.094], + [9587, 0.054], [9659, 0.277], [9691, 0.549], [9692, 0.637], + [9693, 0.882], [9697, 0.568], [9698, 0.704], [9699, 0.991], + [9702, 0.854], [9703, 0.439], [9704, 0.346], [9706, 0.606], + [9707, 0.509], [9714, 0.518], [9715, 0.657], [9717, 0.933], + [9722, 0.395], [9723, 0.465], [9731, 0.288], [9732, 0.095], + [9741, 0.048], [9745, 0.041], [9776, 0.019], [9777, 0.134], + [9778, 0.069], [9779, 0.062], [9781, 0.15], [9782, 0.515], + [9783, 0.483], [9784, 0.569], [9785, 0.468], [9786, 0.384], + [9787, 0.444], [9788, 0.119], [9789, 0.027], [9792, 0.069], + [9793, 0.047], [9794, 0.168], [9807, 0.044], [9808, 0.115], + [9809, 0.071], [9812, 0.019], [9813, 0.333], [9814, 0.306], + [9815, 0.287], [9816, 0.074], [9817, 0.065], [9818, 0.075], + [9819, 0.066], [9820, 0.01], [9822, 0.021], [9824, 0.024], + [9827, 0.009], [9833, 0.046], [9841, 0.21], [9862, 0.387], + [9880, 0.131], [9889, 0.123], [9891, 0.016], [9892, 0.091], + [9893, 0.074], [9905, 0.217], [9911, 0.061], [9912, 0.051], + [9917, 0.019], [9922, 0.34], [9937, 0.011], [9940, 0.099], + [9941, 0.061], [9943, 0.08], [9947, 0.085], [9949, 0.85], + [9950, 0.921], [9951, 0.899], [9952, 0.817], [9953, 0.828], + [9954, 0.925], [9955, 0.947], [9956, 0.927], [9957, 0.868], + [9958, 0.899], [9959, 0.079], [9960, 0.225], [9961, 0.941], + [9962, 0.964], [9963, 0.941], [9964, 0.896], [9966, 0.17], + [9967, 0.008], [9968, 0.033], [9970, 0.163], [9971, 0.081], + [9972, 0.024], [9976, 0.258], [9978, 0.055], [10246, 0.138], + [10247, 0.164], [10248, 0.062], [10475, 0.178], [10476, 0.168], + [10478, 0.024], [10479, 0.079], [10480, 0.086], [10484, 0.179], + [13934, 1.0], [13935, 1.0], [13936, 1.0], [13937, 1.0], + [13938, 1.0], [13939, 1.0], [13940, 1.0], [13941, 1.0] + ], + "finger4-1.R": [ + [2102, 0.089], [2103, 0.236], [2108, 0.326], [2109, 0.015], + [2131, 0.02], [2136, 0.047], [2256, 0.195], [2282, 0.043], + [2283, 0.013], [2284, 0.013], [2285, 0.018], [2286, 0.599], + [2287, 0.591], [2288, 0.569], [2289, 0.567], [2290, 0.856], + [2291, 1.0], [2292, 1.0], [2293, 0.776], [2294, 0.796], + [2295, 0.694], [2296, 0.623], [2297, 0.922], [2298, 0.552], + [2299, 0.047], [2300, 0.65], [2301, 0.97], [2302, 0.532], + [2303, 0.014], [2304, 0.578], [2305, 0.863], [2321, 0.024], + [2322, 0.646], [2323, 0.834], [2324, 1.0], [2327, 0.753], + [2328, 0.755], [2329, 1.0], [2346, 0.915], [2347, 0.957], + [2348, 0.925], [2349, 0.911], [2350, 0.871], [2351, 0.878], + [2352, 0.941], [2353, 0.984], [2354, 0.489], [2355, 0.511], + [2356, 0.443], [2357, 0.527], [2358, 0.449], [2359, 0.33], + [2360, 0.413], [2361, 0.416], [2370, 0.285], [2371, 0.352], + [2372, 0.314], [2373, 0.309], [2374, 0.329], [2375, 0.345], + [2376, 0.425], [2377, 0.377], [2378, 0.316], [2379, 0.23], + [2380, 0.263], [2381, 0.344], [2382, 0.607], [2383, 0.679], + [2384, 0.793], [2385, 0.858], [2386, 0.616], [2387, 0.5], + [2388, 0.463], [2389, 0.481], [2390, 0.803], [2391, 0.821], + [2392, 0.719], [2393, 0.644], [2419, 0.62], [2420, 0.662], + [2421, 0.963], [2426, 0.942], [2427, 0.461], [2428, 0.374], + [2430, 0.679], [2431, 0.52], [2437, 0.647], [2438, 0.935], + [2440, 1.0], [2443, 1.0], [2445, 0.477], [2447, 0.185], + [2448, 0.618], [2449, 0.626], [2482, 0.167], [2485, 0.119], + [2486, 0.032], [2488, 0.408], [2489, 0.044], [2490, 0.016], + [2496, 0.399], [2497, 0.198], [2515, 0.069], [2520, 0.04], + [2542, 0.095], [2543, 0.096], [2574, 0.106], [2575, 0.04], + [2612, 0.205], [2613, 0.044], [2618, 0.01], [2831, 0.226], + [2866, 0.053], [2867, 0.018], [2868, 0.613], [2869, 0.577], + [2870, 0.555], [2871, 0.599], [2872, 0.876], [2873, 1.0], + [2880, 0.885], [2881, 0.907], [2882, 0.354], [2883, 0.393], + [2887, 0.294], [2888, 0.324], [2890, 0.396], [2891, 0.491], + [2892, 0.728], [2893, 0.765], [2910, 0.278], [2911, 0.094], + [2919, 0.054], [2991, 0.277], [3023, 0.549], [3024, 0.637], + [3025, 0.882], [3029, 0.568], [3030, 0.704], [3031, 0.991], + [3034, 0.854], [3035, 0.439], [3036, 0.346], [3038, 0.606], + [3039, 0.509], [3046, 0.518], [3047, 0.657], [3049, 0.933], + [3054, 0.395], [3055, 0.465], [3063, 0.288], [3064, 0.095], + [3073, 0.048], [3077, 0.041], [3108, 0.019], [3109, 0.134], + [3110, 0.069], [3111, 0.062], [3113, 0.15], [3114, 0.515], + [3115, 0.483], [3116, 0.569], [3117, 0.468], [3118, 0.384], + [3119, 0.444], [3120, 0.119], [3121, 0.027], [3124, 0.069], + [3125, 0.047], [3126, 0.168], [3139, 0.044], [3140, 0.115], + [3141, 0.071], [3144, 0.019], [3145, 0.333], [3146, 0.306], + [3147, 0.287], [3148, 0.074], [3149, 0.065], [3150, 0.075], + [3151, 0.066], [3152, 0.01], [3154, 0.021], [3156, 0.024], + [3159, 0.009], [3165, 0.046], [3173, 0.21], [3194, 0.387], + [3212, 0.131], [3221, 0.123], [3223, 0.016], [3224, 0.091], + [3225, 0.074], [3237, 0.217], [3243, 0.061], [3244, 0.051], + [3249, 0.019], [3254, 0.34], [3269, 0.011], [3272, 0.099], + [3273, 0.061], [3275, 0.08], [3279, 0.085], [3281, 0.85], + [3282, 0.921], [3283, 0.899], [3284, 0.817], [3285, 0.828], + [3286, 0.925], [3287, 0.947], [3288, 0.927], [3289, 0.868], + [3290, 0.899], [3291, 0.079], [3292, 0.225], [3293, 0.941], + [3294, 0.964], [3295, 0.941], [3296, 0.896], [3298, 0.17], + [3299, 0.008], [3300, 0.033], [3302, 0.163], [3303, 0.081], + [3304, 0.024], [3308, 0.258], [3310, 0.055], [3578, 0.138], + [3579, 0.164], [3580, 0.062], [3809, 0.178], [3810, 0.168], + [3812, 0.024], [3813, 0.079], [3814, 0.086], [3818, 0.179], + [14374, 1.0], [14375, 1.0], [14376, 1.0], [14377, 1.0], + [14378, 1.0], [14379, 1.0], [14380, 1.0], [14381, 1.0] + ], + "finger4-2.L": [ + [8950, 0.879], [8951, 0.979], [8952, 0.987], [8953, 0.965], + [8954, 0.401], [8955, 0.409], [8956, 0.431], [8957, 0.433], + [8958, 0.045], [8965, 0.024], [8966, 0.448], [8967, 0.867], + [8970, 0.468], [8971, 0.967], [8973, 0.033], [8975, 0.016], + [8980, 0.014], [8981, 0.03], [8989, 0.975], [8990, 0.354], + [8994, 1.0], [8995, 0.247], [8998, 0.044], [9001, 0.041], + [9004, 0.06], [9006, 0.063], [9007, 0.184], [9008, 0.105], + [9009, 0.098], [9010, 0.169], [9011, 0.177], [9012, 0.129], + [9013, 0.17], [9014, 0.085], [9015, 0.043], [9016, 0.075], + [9017, 0.089], [9018, 0.065], [9019, 0.064], [9020, 0.059], + [9021, 0.016], [9022, 0.511], [9023, 0.489], [9024, 0.557], + [9025, 0.473], [9026, 0.55], [9027, 0.67], [9028, 0.587], + [9029, 0.584], [9030, 0.449], [9031, 0.405], [9032, 0.469], + [9033, 0.464], [9034, 0.506], [9035, 0.408], [9036, 0.463], + [9037, 0.54], [9038, 0.715], [9039, 0.648], [9040, 0.686], + [9041, 0.691], [9042, 0.671], [9043, 0.655], [9044, 0.575], + [9045, 0.623], [9046, 0.684], [9047, 0.77], [9048, 0.737], + [9049, 0.656], [9050, 0.393], [9051, 0.321], [9052, 0.207], + [9053, 0.142], [9054, 0.384], [9055, 0.5], [9056, 0.537], + [9057, 0.519], [9058, 0.197], [9059, 0.179], [9060, 0.281], + [9061, 0.356], [9062, 0.753], [9063, 0.845], [9064, 0.731], + [9065, 0.787], [9066, 0.919], [9067, 0.675], [9068, 0.822], + [9069, 0.679], [9070, 0.617], [9071, 0.668], [9072, 0.597], + [9073, 0.65], [9074, 0.605], [9075, 0.544], [9076, 0.63], + [9077, 0.54], [9080, 0.082], [9082, 0.025], [9083, 0.1], + [9084, 0.086], [9085, 0.033], [9086, 1.0], [9087, 0.38], + [9093, 0.073], [9094, 0.046], [9095, 0.539], [9096, 0.626], + [9097, 0.506], [9098, 0.321], [9099, 0.48], [9100, 0.706], + [9101, 0.597], [9103, 0.526], [9104, 0.752], [9105, 0.353], + [9106, 0.065], [9112, 0.483], [9113, 0.523], [9114, 0.068], + [9115, 0.815], [9117, 0.374], [9118, 1.0], [9132, 0.398], + [9133, 0.378], [9134, 0.347], [9135, 0.321], [9136, 0.316], + [9137, 0.319], [9138, 0.301], [9139, 0.289], [9140, 0.391], + [9141, 0.2], [9534, 0.894], [9535, 0.975], [9536, 0.387], + [9537, 0.423], [9540, 0.038], [9547, 0.007], [9548, 0.082], + [9549, 0.093], [9550, 0.646], [9551, 0.607], [9552, 0.154], + [9553, 0.477], [9554, 0.432], [9555, 0.706], [9556, 0.676], + [9557, 0.176], [9558, 0.604], [9559, 0.509], [9560, 0.272], + [9561, 0.235], [9562, 0.717], [9563, 0.853], [9564, 0.581], + [9565, 0.64], [9566, 0.059], [9567, 0.065], [9571, 0.334], + [9572, 0.307], [9690, 0.869], [9691, 0.451], [9693, 0.034], + [9696, 1.0], [9697, 0.432], [9701, 0.089], [9702, 0.091], + [9703, 0.561], [9704, 0.654], [9705, 0.434], [9706, 0.394], + [9707, 0.491], [9708, 0.676], [9709, 0.561], [9713, 0.604], + [9714, 0.482], [9715, 0.343], [9716, 0.755], [9717, 0.067], + [9720, 0.528], [9721, 0.073], [9722, 0.605], [9723, 0.535], + [9727, 0.322], [9728, 0.415], [13894, 1.0], [13895, 1.0], + [13896, 1.0], [13897, 1.0], [13898, 1.0], [13899, 1.0], + [13900, 1.0], [13901, 1.0] + ], + "finger4-2.R": [ + [2282, 0.879], [2283, 0.979], [2284, 0.987], [2285, 0.965], + [2286, 0.401], [2287, 0.409], [2288, 0.431], [2289, 0.433], + [2290, 0.045], [2297, 0.024], [2298, 0.448], [2299, 0.867], + [2302, 0.468], [2303, 0.967], [2305, 0.033], [2307, 0.016], + [2312, 0.014], [2313, 0.03], [2321, 0.975], [2322, 0.354], + [2326, 1.0], [2327, 0.247], [2330, 0.044], [2333, 0.041], + [2336, 0.06], [2338, 0.063], [2339, 0.184], [2340, 0.105], + [2341, 0.098], [2342, 0.169], [2343, 0.177], [2344, 0.129], + [2345, 0.17], [2346, 0.085], [2347, 0.043], [2348, 0.075], + [2349, 0.089], [2350, 0.065], [2351, 0.064], [2352, 0.059], + [2353, 0.016], [2354, 0.511], [2355, 0.489], [2356, 0.557], + [2357, 0.473], [2358, 0.55], [2359, 0.67], [2360, 0.587], + [2361, 0.584], [2362, 0.449], [2363, 0.405], [2364, 0.469], + [2365, 0.464], [2366, 0.506], [2367, 0.408], [2368, 0.463], + [2369, 0.54], [2370, 0.715], [2371, 0.648], [2372, 0.686], + [2373, 0.691], [2374, 0.671], [2375, 0.655], [2376, 0.575], + [2377, 0.623], [2378, 0.684], [2379, 0.77], [2380, 0.737], + [2381, 0.656], [2382, 0.393], [2383, 0.321], [2384, 0.207], + [2385, 0.142], [2386, 0.384], [2387, 0.5], [2388, 0.537], + [2389, 0.519], [2390, 0.197], [2391, 0.179], [2392, 0.281], + [2393, 0.356], [2394, 0.753], [2395, 0.845], [2396, 0.731], + [2397, 0.787], [2398, 0.919], [2399, 0.675], [2400, 0.822], + [2401, 0.679], [2402, 0.617], [2403, 0.668], [2404, 0.597], + [2405, 0.65], [2406, 0.605], [2407, 0.544], [2408, 0.63], + [2409, 0.54], [2412, 0.082], [2414, 0.025], [2415, 0.1], + [2416, 0.086], [2417, 0.033], [2418, 1.0], [2419, 0.38], + [2425, 0.073], [2426, 0.046], [2427, 0.539], [2428, 0.626], + [2429, 0.506], [2430, 0.321], [2431, 0.48], [2432, 0.706], + [2433, 0.597], [2435, 0.526], [2436, 0.752], [2437, 0.353], + [2438, 0.065], [2444, 0.483], [2445, 0.523], [2446, 0.068], + [2447, 0.815], [2449, 0.374], [2450, 1.0], [2464, 0.398], + [2465, 0.378], [2466, 0.347], [2467, 0.321], [2468, 0.316], + [2469, 0.319], [2470, 0.301], [2471, 0.289], [2472, 0.391], + [2473, 0.2], [2866, 0.894], [2867, 0.975], [2868, 0.387], + [2869, 0.423], [2872, 0.038], [2879, 0.007], [2880, 0.082], + [2881, 0.093], [2882, 0.646], [2883, 0.607], [2884, 0.154], + [2885, 0.477], [2886, 0.432], [2887, 0.706], [2888, 0.676], + [2889, 0.176], [2890, 0.604], [2891, 0.509], [2892, 0.272], + [2893, 0.235], [2894, 0.717], [2895, 0.853], [2896, 0.581], + [2897, 0.64], [2898, 0.059], [2899, 0.065], [2903, 0.334], + [2904, 0.307], [3022, 0.869], [3023, 0.451], [3025, 0.034], + [3028, 1.0], [3029, 0.432], [3033, 0.089], [3034, 0.091], + [3035, 0.561], [3036, 0.654], [3037, 0.434], [3038, 0.394], + [3039, 0.491], [3040, 0.676], [3041, 0.561], [3045, 0.604], + [3046, 0.482], [3047, 0.343], [3048, 0.755], [3049, 0.067], + [3052, 0.528], [3053, 0.073], [3054, 0.605], [3055, 0.535], + [3059, 0.322], [3060, 0.415], [14334, 1.0], [14335, 1.0], + [14336, 1.0], [14337, 1.0], [14338, 1.0], [14339, 1.0], + [14340, 1.0], [14341, 1.0] + ], + "finger4-3.L": [ + [8915, 0.021], [8950, 0.078], [8951, 0.009], [8953, 0.017], + [8967, 0.086], [8971, 0.019], [8974, 1.0], [8975, 0.984], + [8976, 1.0], [8977, 1.0], [8978, 1.0], [8979, 1.0], + [8980, 0.986], [8981, 0.97], [8982, 1.0], [8983, 1.0], + [8984, 1.0], [8985, 1.0], [8986, 1.0], [8987, 1.0], + [8988, 1.0], [8993, 1.0], [8998, 0.956], [8999, 1.0], + [9000, 1.0], [9001, 0.959], [9002, 1.0], [9003, 1.0], + [9004, 0.94], [9005, 1.0], [9006, 0.937], [9007, 0.816], + [9008, 0.895], [9009, 0.902], [9010, 0.831], [9011, 0.823], + [9012, 0.871], [9013, 0.83], [9030, 0.551], [9031, 0.595], + [9032, 0.531], [9033, 0.536], [9034, 0.494], [9035, 0.592], + [9036, 0.537], [9037, 0.46], [9062, 0.247], [9063, 0.155], + [9064, 0.269], [9065, 0.213], [9066, 0.081], [9067, 0.325], + [9068, 0.178], [9069, 0.32], [9070, 0.383], [9071, 0.332], + [9072, 0.403], [9073, 0.35], [9074, 0.395], [9075, 0.456], + [9076, 0.37], [9077, 0.46], [9078, 1.0], [9079, 1.0], + [9080, 0.919], [9081, 1.0], [9082, 0.975], [9083, 0.9], + [9084, 0.914], [9085, 0.967], [9090, 1.0], [9091, 1.0], + [9092, 1.0], [9093, 0.927], [9097, 0.495], [9100, 0.294], + [9101, 0.403], [9102, 1.0], [9103, 0.474], [9104, 0.248], + [9107, 1.0], [9109, 1.0], [9110, 1.0], [9112, 0.517], + [9114, 0.932], [9119, 1.0], [9120, 1.0], [9121, 1.0], + [9122, 1.0], [9123, 1.0], [9124, 1.0], [9125, 1.0], + [9126, 1.0], [9127, 1.0], [9128, 1.0], [9129, 1.0], + [9130, 1.0], [9131, 1.0], [9132, 0.602], [9133, 0.622], + [9134, 0.653], [9135, 0.679], [9136, 0.684], [9137, 0.681], + [9138, 0.699], [9139, 0.711], [9140, 0.609], [9141, 0.8], + [9534, 0.053], [9535, 0.007], [9542, 1.0], [9543, 1.0], + [9544, 1.0], [9545, 1.0], [9546, 1.0], [9547, 0.993], + [9552, 0.846], [9553, 0.523], [9554, 0.568], [9557, 0.824], + [9562, 0.283], [9563, 0.147], [9564, 0.419], [9565, 0.36], + [9566, 0.941], [9567, 0.935], [9568, 1.0], [9569, 1.0], + [9570, 1.0], [9571, 0.666], [9572, 0.693], [9690, 0.131], + [9694, 1.0], [9695, 1.0], [9700, 1.0], [9701, 0.911], + [9705, 0.566], [9708, 0.324], [9709, 0.439], [9710, 1.0], + [9711, 1.0], [9712, 1.0], [9713, 0.396], [9716, 0.245], + [9718, 1.0], [9719, 1.0], [9720, 0.472], [9721, 0.927], + [9724, 1.0], [9725, 1.0], [9726, 1.0], [9727, 0.678], + [9728, 0.585], [13870, 1.0], [13871, 1.0], [13872, 1.0], + [13873, 1.0], [13874, 1.0], [13875, 1.0], [13876, 1.0], + [13877, 1.0] + ], + "finger4-3.R": [ + [2247, 0.021], [2282, 0.078], [2283, 0.009], [2285, 0.017], + [2299, 0.086], [2303, 0.019], [2306, 1.0], [2307, 0.984], + [2308, 1.0], [2309, 1.0], [2310, 1.0], [2311, 1.0], + [2312, 0.986], [2313, 0.97], [2314, 1.0], [2315, 1.0], + [2316, 1.0], [2317, 1.0], [2318, 1.0], [2319, 1.0], + [2320, 1.0], [2325, 1.0], [2330, 0.956], [2331, 1.0], + [2332, 1.0], [2333, 0.959], [2334, 1.0], [2335, 1.0], + [2336, 0.94], [2337, 1.0], [2338, 0.937], [2339, 0.816], + [2340, 0.895], [2341, 0.902], [2342, 0.831], [2343, 0.823], + [2344, 0.871], [2345, 0.83], [2362, 0.551], [2363, 0.595], + [2364, 0.531], [2365, 0.536], [2366, 0.494], [2367, 0.592], + [2368, 0.537], [2369, 0.46], [2394, 0.247], [2395, 0.155], + [2396, 0.269], [2397, 0.213], [2398, 0.081], [2399, 0.325], + [2400, 0.178], [2401, 0.32], [2402, 0.383], [2403, 0.332], + [2404, 0.403], [2405, 0.35], [2406, 0.395], [2407, 0.456], + [2408, 0.37], [2409, 0.46], [2410, 1.0], [2411, 1.0], + [2412, 0.919], [2413, 1.0], [2414, 0.975], [2415, 0.9], + [2416, 0.914], [2417, 0.967], [2422, 1.0], [2423, 1.0], + [2424, 1.0], [2425, 0.927], [2429, 0.495], [2432, 0.294], + [2433, 0.403], [2434, 1.0], [2435, 0.474], [2436, 0.248], + [2439, 1.0], [2441, 1.0], [2442, 1.0], [2444, 0.517], + [2446, 0.932], [2451, 1.0], [2452, 1.0], [2453, 1.0], + [2454, 1.0], [2455, 1.0], [2456, 1.0], [2457, 1.0], + [2458, 1.0], [2459, 1.0], [2460, 1.0], [2461, 1.0], + [2462, 1.0], [2463, 1.0], [2464, 0.602], [2465, 0.622], + [2466, 0.653], [2467, 0.679], [2468, 0.684], [2469, 0.681], + [2470, 0.699], [2471, 0.711], [2472, 0.609], [2473, 0.8], + [2866, 0.053], [2867, 0.007], [2874, 1.0], [2875, 1.0], + [2876, 1.0], [2877, 1.0], [2878, 1.0], [2879, 0.993], + [2884, 0.846], [2885, 0.523], [2886, 0.568], [2889, 0.824], + [2894, 0.283], [2895, 0.147], [2896, 0.419], [2897, 0.36], + [2898, 0.941], [2899, 0.935], [2900, 1.0], [2901, 1.0], + [2902, 1.0], [2903, 0.666], [2904, 0.693], [3022, 0.131], + [3026, 1.0], [3027, 1.0], [3032, 1.0], [3033, 0.911], + [3037, 0.566], [3040, 0.324], [3041, 0.439], [3042, 1.0], + [3043, 1.0], [3044, 1.0], [3045, 0.396], [3048, 0.245], + [3050, 1.0], [3051, 1.0], [3052, 0.472], [3053, 0.927], + [3056, 1.0], [3057, 1.0], [3058, 1.0], [3059, 0.678], + [3060, 0.585], [14310, 1.0], [14311, 1.0], [14312, 1.0], + [14313, 1.0], [14314, 1.0], [14315, 1.0], [14316, 1.0], + [14317, 1.0] + ], + "finger5-1.L": [ + [8962, 0.072], [8963, 0.27], [8968, 0.302], [8969, 0.03], + [8996, 0.036], [9116, 0.181], [9142, 0.055], [9143, 0.008], + [9144, 0.071], [9145, 0.065], [9146, 0.673], [9147, 0.697], + [9148, 0.335], [9149, 0.499], [9150, 0.76], [9151, 0.935], + [9152, 0.947], [9153, 0.551], [9154, 0.642], [9155, 0.931], + [9156, 0.522], [9157, 0.896], [9158, 0.502], [9159, 0.029], + [9160, 0.871], [9161, 0.954], [9162, 0.442], [9164, 0.553], + [9165, 0.765], [9181, 0.073], [9182, 0.715], [9183, 0.607], + [9184, 0.963], [9186, 0.012], [9187, 0.632], [9188, 0.845], + [9189, 0.978], [9206, 0.891], [9207, 0.905], [9208, 0.942], + [9209, 0.968], [9210, 0.805], [9211, 0.83], [9212, 0.906], + [9213, 0.987], [9214, 0.545], [9215, 0.211], [9216, 0.494], + [9217, 0.293], [9218, 0.25], [9219, 0.39], [9220, 0.284], + [9221, 0.056], [9222, 0.026], [9223, 0.02], [9224, 0.017], + [9225, 0.027], [9227, 0.016], [9228, 0.03], [9229, 0.011], + [9230, 0.102], [9231, 0.145], [9232, 0.157], [9233, 0.158], + [9234, 0.378], [9235, 0.38], [9236, 0.087], [9237, 0.333], + [9238, 0.034], [9239, 0.156], [9240, 0.178], [9241, 0.06], + [9242, 0.605], [9243, 0.649], [9244, 0.842], [9245, 0.853], + [9246, 0.434], [9247, 0.417], [9248, 0.424], [9249, 0.493], + [9250, 0.547], [9251, 0.826], [9252, 0.839], [9253, 0.589], + [9254, 0.051], [9255, 0.041], [9256, 0.043], [9257, 0.054], + [9258, 0.02], [9259, 0.017], [9260, 0.053], [9261, 0.014], + [9262, 0.043], [9263, 0.031], [9264, 0.031], [9265, 0.044], + [9266, 0.023], [9267, 0.014], [9268, 0.04], [9269, 0.02], + [9270, 0.012], [9278, 0.021], [9279, 0.603], [9280, 0.608], + [9281, 0.925], [9286, 0.965], [9287, 0.266], [9288, 0.066], + [9289, 0.011], [9290, 0.802], [9291, 0.408], [9292, 0.028], + [9293, 0.03], [9294, 0.008], [9295, 0.019], [9296, 0.022], + [9297, 0.386], [9298, 0.807], [9300, 0.966], [9303, 0.98], + [9304, 0.008], [9305, 0.219], [9307, 0.062], [9308, 0.938], + [9309, 0.62], [9310, 0.007], [9538, 0.188], [9573, 0.065], + [9574, 0.064], [9575, 0.589], [9576, 0.61], [9577, 0.726], + [9578, 0.448], [9579, 0.872], [9580, 0.939], [9587, 0.911], + [9588, 0.899], [9589, 0.272], [9590, 0.359], [9592, 0.021], + [9593, 0.022], [9594, 0.086], [9595, 0.151], [9597, 0.389], + [9598, 0.496], [9599, 0.801], [9600, 0.79], [9601, 0.051], + [9602, 0.05], [9603, 0.041], [9604, 0.037], [9698, 0.211], + [9699, 0.009], [9729, 0.047], [9730, 0.512], [9731, 0.609], + [9732, 0.818], [9736, 0.553], [9737, 0.901], [9738, 0.967], + [9741, 0.82], [9742, 0.289], [9743, 0.128], [9744, 0.007], + [9745, 0.654], [9746, 0.388], [9747, 0.042], [9748, 0.026], + [9752, 0.025], [9753, 0.317], [9754, 0.773], [9755, 0.025], + [9756, 0.915], [9759, 0.01], [9761, 0.022], [9762, 0.155], + [9783, 0.106], [9784, 0.056], [9785, 0.073], [9787, 0.22], + [9788, 0.297], [9789, 0.418], [9790, 0.831], [9791, 0.655], + [9792, 0.387], [9793, 0.75], [9794, 0.528], [9795, 0.861], + [9797, 0.495], [9799, 0.675], [9813, 0.029], [9814, 0.085], + [9815, 0.058], [9816, 0.048], [9818, 0.163], [9819, 0.174], + [9820, 0.24], [9821, 0.393], [9822, 0.148], [9823, 0.421], + [9824, 0.387], [9826, 0.098], [9827, 0.089], [9855, 0.036], + [9856, 0.016], [9857, 0.054], [9858, 0.171], [9859, 0.014], + [9864, 0.009], [9876, 0.103], [9880, 0.076], [9912, 0.02], + [9922, 0.167], [9945, 0.977], [9946, 0.898], [9950, 0.079], + [9951, 0.101], [9956, 0.06], [9958, 0.055], [9959, 0.761], + [9960, 0.743], [9963, 0.007], [9964, 0.104], [9965, 0.971], + [9966, 0.766], [9967, 0.945], [9968, 0.823], [9969, 0.931], + [9970, 0.701], [9975, 0.992], [9976, 0.705], [9977, 0.953], + [9978, 0.896], [10246, 0.015], [10247, 0.26], [10248, 0.096], + [10249, 0.068], [10329, 0.178], [10345, 0.054], [10475, 0.061], + [10480, 0.453], [10481, 0.615], [10484, 0.181], [13942, 1.0], + [13943, 1.0], [13944, 1.0], [13945, 1.0], [13946, 1.0], + [13947, 1.0], [13948, 1.0], [13949, 1.0] + ], + "finger5-1.R": [ + [2294, 0.072], [2295, 0.27], [2300, 0.302], [2301, 0.03], + [2328, 0.036], [2448, 0.181], [2474, 0.055], [2475, 0.008], + [2476, 0.071], [2477, 0.065], [2478, 0.673], [2479, 0.697], + [2480, 0.335], [2481, 0.499], [2482, 0.76], [2483, 0.935], + [2484, 0.947], [2485, 0.551], [2486, 0.642], [2487, 0.931], + [2488, 0.522], [2489, 0.896], [2490, 0.502], [2491, 0.029], + [2492, 0.871], [2493, 0.954], [2494, 0.442], [2496, 0.553], + [2497, 0.765], [2513, 0.073], [2514, 0.715], [2515, 0.607], + [2516, 0.963], [2518, 0.012], [2519, 0.632], [2520, 0.845], + [2521, 0.978], [2538, 0.891], [2539, 0.905], [2540, 0.942], + [2541, 0.968], [2542, 0.805], [2543, 0.83], [2544, 0.906], + [2545, 0.987], [2546, 0.545], [2547, 0.211], [2548, 0.494], + [2549, 0.293], [2550, 0.25], [2551, 0.39], [2552, 0.284], + [2553, 0.056], [2554, 0.026], [2555, 0.02], [2556, 0.017], + [2557, 0.027], [2559, 0.016], [2560, 0.03], [2561, 0.011], + [2562, 0.102], [2563, 0.145], [2564, 0.157], [2565, 0.158], + [2566, 0.378], [2567, 0.38], [2568, 0.087], [2569, 0.333], + [2570, 0.034], [2571, 0.156], [2572, 0.178], [2573, 0.06], + [2574, 0.605], [2575, 0.649], [2576, 0.842], [2577, 0.853], + [2578, 0.434], [2579, 0.417], [2580, 0.424], [2581, 0.493], + [2582, 0.547], [2583, 0.826], [2584, 0.839], [2585, 0.589], + [2586, 0.051], [2587, 0.041], [2588, 0.043], [2589, 0.054], + [2590, 0.02], [2591, 0.017], [2592, 0.053], [2593, 0.014], + [2594, 0.043], [2595, 0.031], [2596, 0.031], [2597, 0.044], + [2598, 0.023], [2599, 0.014], [2600, 0.04], [2601, 0.02], + [2602, 0.012], [2610, 0.021], [2611, 0.603], [2612, 0.608], + [2613, 0.925], [2618, 0.965], [2619, 0.266], [2620, 0.066], + [2621, 0.011], [2622, 0.802], [2623, 0.408], [2624, 0.028], + [2625, 0.03], [2626, 0.008], [2627, 0.019], [2628, 0.022], + [2629, 0.386], [2630, 0.807], [2632, 0.966], [2635, 0.98], + [2636, 0.008], [2637, 0.219], [2639, 0.062], [2640, 0.938], + [2641, 0.62], [2642, 0.007], [2870, 0.188], [2905, 0.065], + [2906, 0.064], [2907, 0.589], [2908, 0.61], [2909, 0.726], + [2910, 0.448], [2911, 0.872], [2912, 0.939], [2919, 0.911], + [2920, 0.899], [2921, 0.272], [2922, 0.359], [2924, 0.021], + [2925, 0.022], [2926, 0.086], [2927, 0.151], [2929, 0.389], + [2930, 0.496], [2931, 0.801], [2932, 0.79], [2933, 0.051], + [2934, 0.05], [2935, 0.041], [2936, 0.037], [3030, 0.211], + [3031, 0.009], [3061, 0.047], [3062, 0.512], [3063, 0.609], + [3064, 0.818], [3068, 0.553], [3069, 0.901], [3070, 0.967], + [3073, 0.82], [3074, 0.289], [3075, 0.128], [3076, 0.007], + [3077, 0.654], [3078, 0.388], [3079, 0.042], [3080, 0.026], + [3084, 0.025], [3085, 0.317], [3086, 0.773], [3087, 0.025], + [3088, 0.915], [3091, 0.01], [3093, 0.022], [3094, 0.155], + [3115, 0.106], [3116, 0.056], [3117, 0.073], [3119, 0.22], + [3120, 0.297], [3121, 0.418], [3122, 0.831], [3123, 0.655], + [3124, 0.387], [3125, 0.75], [3126, 0.528], [3127, 0.861], + [3129, 0.495], [3131, 0.675], [3145, 0.029], [3146, 0.085], + [3147, 0.058], [3148, 0.048], [3150, 0.163], [3151, 0.174], + [3152, 0.24], [3153, 0.393], [3154, 0.148], [3155, 0.421], + [3156, 0.387], [3158, 0.098], [3159, 0.089], [3187, 0.036], + [3188, 0.016], [3189, 0.054], [3190, 0.171], [3191, 0.014], + [3196, 0.009], [3208, 0.103], [3212, 0.076], [3244, 0.02], + [3254, 0.167], [3277, 0.977], [3278, 0.898], [3282, 0.079], + [3283, 0.101], [3288, 0.06], [3290, 0.055], [3291, 0.761], + [3292, 0.743], [3295, 0.007], [3296, 0.104], [3297, 0.971], + [3298, 0.766], [3299, 0.945], [3300, 0.823], [3301, 0.931], + [3302, 0.701], [3307, 0.992], [3308, 0.705], [3309, 0.953], + [3310, 0.896], [3578, 0.015], [3579, 0.26], [3580, 0.096], + [3581, 0.068], [3661, 0.178], [3677, 0.054], [3809, 0.061], + [3814, 0.453], [3815, 0.615], [3818, 0.181], [14382, 1.0], + [14383, 1.0], [14384, 1.0], [14385, 1.0], [14386, 1.0], + [14387, 1.0], [14388, 1.0], [14389, 1.0] + ], + "finger5-2.L": [ + [9142, 0.849], [9143, 0.788], [9144, 0.822], [9145, 0.812], + [9146, 0.327], [9147, 0.303], [9148, 0.657], [9149, 0.501], + [9150, 0.073], [9151, 0.065], [9152, 0.036], [9157, 0.029], + [9158, 0.463], [9159, 0.846], [9161, 0.046], [9162, 0.48], + [9163, 0.783], [9165, 0.037], [9181, 0.818], [9182, 0.285], + [9184, 0.011], [9186, 0.965], [9187, 0.355], [9189, 0.022], + [9190, 0.095], [9193, 0.044], [9196, 0.045], [9198, 0.037], + [9199, 0.24], [9200, 0.062], [9201, 0.102], [9202, 0.239], + [9203, 0.121], [9204, 0.142], [9205, 0.253], [9206, 0.109], + [9207, 0.095], [9208, 0.058], [9209, 0.03], [9210, 0.1], + [9211, 0.074], [9212, 0.094], [9213, 0.014], [9214, 0.455], + [9215, 0.694], [9216, 0.506], [9217, 0.707], [9218, 0.698], + [9219, 0.586], [9220, 0.705], [9221, 0.837], [9222, 0.518], + [9223, 0.422], [9224, 0.503], [9225, 0.527], [9226, 0.338], + [9227, 0.441], [9228, 0.53], [9229, 0.384], [9230, 0.864], + [9231, 0.832], [9232, 0.791], [9233, 0.781], [9234, 0.596], + [9235, 0.591], [9236, 0.872], [9237, 0.642], [9238, 0.879], + [9239, 0.795], [9240, 0.778], [9241, 0.831], [9242, 0.289], + [9243, 0.311], [9244, 0.158], [9245, 0.147], [9246, 0.534], + [9247, 0.569], [9248, 0.571], [9249, 0.498], [9250, 0.453], + [9251, 0.174], [9252, 0.161], [9253, 0.411], [9254, 0.627], + [9255, 0.586], [9256, 0.56], [9257, 0.643], [9258, 0.77], + [9259, 0.807], [9260, 0.64], [9261, 0.719], [9262, 0.596], + [9263, 0.545], [9264, 0.45], [9265, 0.563], [9266, 0.53], + [9267, 0.735], [9268, 0.552], [9269, 0.661], [9271, 0.094], + [9272, 0.072], [9274, 0.09], [9275, 0.087], [9276, 0.099], + [9277, 0.063], [9278, 0.937], [9279, 0.381], [9281, 0.031], + [9285, 0.029], [9286, 0.024], [9287, 0.674], [9288, 0.905], + [9289, 0.381], [9290, 0.198], [9291, 0.555], [9292, 0.726], + [9293, 0.425], [9295, 0.594], [9296, 0.753], [9297, 0.582], + [9298, 0.193], [9300, 0.034], [9303, 0.02], [9304, 0.464], + [9305, 0.731], [9306, 0.01], [9307, 0.792], [9309, 0.366], + [9310, 0.814], [9324, 0.273], [9325, 0.252], [9326, 0.186], + [9327, 0.366], [9328, 0.401], [9329, 0.357], [9330, 0.124], + [9331, 0.134], [9332, 0.262], [9333, 0.159], [9573, 0.809], + [9574, 0.79], [9575, 0.411], [9576, 0.389], [9579, 0.013], + [9580, 0.061], [9586, 0.068], [9587, 0.035], [9588, 0.101], + [9589, 0.715], [9590, 0.603], [9591, 0.257], [9592, 0.498], + [9593, 0.466], [9594, 0.836], [9595, 0.792], [9596, 0.167], + [9597, 0.596], [9598, 0.488], [9599, 0.199], [9600, 0.21], + [9601, 0.622], [9602, 0.627], [9603, 0.582], [9604, 0.586], + [9605, 0.079], [9606, 0.052], [9610, 0.358], [9611, 0.359], + [9729, 0.825], [9730, 0.462], [9732, 0.076], [9735, 0.803], + [9736, 0.417], [9738, 0.033], [9740, 0.057], [9741, 0.132], + [9742, 0.678], [9743, 0.797], [9744, 0.326], [9745, 0.305], + [9746, 0.581], [9747, 0.66], [9748, 0.546], [9752, 0.478], + [9753, 0.638], [9754, 0.227], [9755, 0.585], [9756, 0.085], + [9759, 0.386], [9760, 0.059], [9761, 0.854], [9762, 0.732], + [9766, 0.188], [9767, 0.287], [9960, 0.009], [9965, 0.014], + [9966, 0.017], [9967, 0.018], [9976, 0.023], [9977, 0.027], + [9978, 0.018], [13886, 1.0], [13887, 1.0], [13888, 1.0], + [13889, 1.0], [13890, 1.0], [13891, 1.0], [13892, 1.0], + [13893, 1.0] + ], + "finger5-2.R": [ + [2474, 0.849], [2475, 0.788], [2476, 0.822], [2477, 0.812], + [2478, 0.327], [2479, 0.303], [2480, 0.657], [2481, 0.501], + [2482, 0.073], [2483, 0.065], [2484, 0.036], [2489, 0.029], + [2490, 0.463], [2491, 0.846], [2493, 0.046], [2494, 0.48], + [2495, 0.783], [2497, 0.037], [2513, 0.818], [2514, 0.285], + [2516, 0.011], [2518, 0.965], [2519, 0.355], [2521, 0.022], + [2522, 0.095], [2525, 0.044], [2528, 0.045], [2530, 0.037], + [2531, 0.24], [2532, 0.062], [2533, 0.102], [2534, 0.239], + [2535, 0.121], [2536, 0.142], [2537, 0.253], [2538, 0.109], + [2539, 0.095], [2540, 0.058], [2541, 0.03], [2542, 0.1], + [2543, 0.074], [2544, 0.094], [2545, 0.014], [2546, 0.455], + [2547, 0.694], [2548, 0.506], [2549, 0.707], [2550, 0.698], + [2551, 0.586], [2552, 0.705], [2553, 0.837], [2554, 0.518], + [2555, 0.422], [2556, 0.503], [2557, 0.527], [2558, 0.338], + [2559, 0.441], [2560, 0.53], [2561, 0.384], [2562, 0.864], + [2563, 0.832], [2564, 0.791], [2565, 0.781], [2566, 0.596], + [2567, 0.591], [2568, 0.872], [2569, 0.642], [2570, 0.879], + [2571, 0.795], [2572, 0.778], [2573, 0.831], [2574, 0.289], + [2575, 0.311], [2576, 0.158], [2577, 0.147], [2578, 0.534], + [2579, 0.569], [2580, 0.571], [2581, 0.498], [2582, 0.453], + [2583, 0.174], [2584, 0.161], [2585, 0.411], [2586, 0.627], + [2587, 0.586], [2588, 0.56], [2589, 0.643], [2590, 0.77], + [2591, 0.807], [2592, 0.64], [2593, 0.719], [2594, 0.596], + [2595, 0.545], [2596, 0.45], [2597, 0.563], [2598, 0.53], + [2599, 0.735], [2600, 0.552], [2601, 0.661], [2603, 0.094], + [2604, 0.072], [2606, 0.09], [2607, 0.087], [2608, 0.099], + [2609, 0.063], [2610, 0.937], [2611, 0.381], [2613, 0.031], + [2617, 0.029], [2618, 0.024], [2619, 0.674], [2620, 0.905], + [2621, 0.381], [2622, 0.198], [2623, 0.555], [2624, 0.726], + [2625, 0.425], [2627, 0.594], [2628, 0.753], [2629, 0.582], + [2630, 0.193], [2632, 0.034], [2635, 0.02], [2636, 0.464], + [2637, 0.731], [2638, 0.01], [2639, 0.792], [2641, 0.366], + [2642, 0.814], [2656, 0.273], [2657, 0.252], [2658, 0.186], + [2659, 0.366], [2660, 0.401], [2661, 0.357], [2662, 0.124], + [2663, 0.134], [2664, 0.262], [2665, 0.159], [2905, 0.809], + [2906, 0.79], [2907, 0.411], [2908, 0.389], [2911, 0.013], + [2912, 0.061], [2918, 0.068], [2919, 0.035], [2920, 0.101], + [2921, 0.715], [2922, 0.603], [2923, 0.257], [2924, 0.498], + [2925, 0.466], [2926, 0.836], [2927, 0.792], [2928, 0.167], + [2929, 0.596], [2930, 0.488], [2931, 0.199], [2932, 0.21], + [2933, 0.622], [2934, 0.627], [2935, 0.582], [2936, 0.586], + [2937, 0.079], [2938, 0.052], [2942, 0.358], [2943, 0.359], + [3061, 0.825], [3062, 0.462], [3064, 0.076], [3067, 0.803], + [3068, 0.417], [3070, 0.033], [3072, 0.057], [3073, 0.132], + [3074, 0.678], [3075, 0.797], [3076, 0.326], [3077, 0.305], + [3078, 0.581], [3079, 0.66], [3080, 0.546], [3084, 0.478], + [3085, 0.638], [3086, 0.227], [3087, 0.585], [3088, 0.085], + [3091, 0.386], [3092, 0.059], [3093, 0.854], [3094, 0.732], + [3098, 0.188], [3099, 0.287], [3292, 0.009], [3297, 0.014], + [3298, 0.017], [3299, 0.018], [3308, 0.023], [3309, 0.027], + [3310, 0.018], [14326, 1.0], [14327, 1.0], [14328, 1.0], + [14329, 1.0], [14330, 1.0], [14331, 1.0], [14332, 1.0], + [14333, 1.0] + ], + "finger5-3.L": [ + [9142, 0.096], [9143, 0.204], [9144, 0.107], [9145, 0.123], + [9148, 0.008], [9158, 0.019], [9159, 0.125], [9162, 0.078], + [9163, 0.217], [9166, 1.0], [9167, 1.0], [9168, 1.0], + [9169, 1.0], [9170, 1.0], [9171, 1.0], [9172, 1.0], + [9173, 1.0], [9174, 1.0], [9175, 1.0], [9176, 1.0], + [9177, 1.0], [9178, 1.0], [9179, 1.0], [9180, 1.0], + [9181, 0.109], [9185, 1.0], [9186, 0.024], [9187, 0.014], + [9190, 0.905], [9191, 1.0], [9192, 1.0], [9193, 0.956], + [9194, 1.0], [9195, 1.0], [9196, 0.955], [9197, 1.0], + [9198, 0.963], [9199, 0.76], [9200, 0.938], [9201, 0.898], + [9202, 0.761], [9203, 0.879], [9204, 0.858], [9205, 0.747], + [9209, 0.002], [9215, 0.094], [9218, 0.051], [9219, 0.024], + [9220, 0.011], [9221, 0.107], [9222, 0.456], [9223, 0.558], + [9224, 0.48], [9225, 0.446], [9226, 0.662], [9227, 0.543], + [9228, 0.44], [9229, 0.605], [9230, 0.034], [9231, 0.023], + [9232, 0.052], [9233, 0.06], [9234, 0.025], [9235, 0.029], + [9236, 0.041], [9237, 0.025], [9238, 0.087], [9239, 0.049], + [9240, 0.044], [9241, 0.109], [9246, 0.033], [9247, 0.014], + [9248, 0.005], [9249, 0.009], [9254, 0.322], [9255, 0.373], + [9256, 0.398], [9257, 0.302], [9258, 0.209], [9259, 0.176], + [9260, 0.307], [9261, 0.267], [9262, 0.362], [9263, 0.424], + [9264, 0.519], [9265, 0.393], [9266, 0.447], [9267, 0.251], + [9268, 0.408], [9269, 0.319], [9270, 0.988], [9271, 0.906], + [9272, 0.928], [9273, 1.0], [9274, 0.91], [9275, 0.913], + [9276, 0.901], [9277, 0.937], [9278, 0.041], [9279, 0.016], + [9282, 1.0], [9283, 1.0], [9284, 1.0], [9285, 0.971], + [9287, 0.06], [9288, 0.029], [9289, 0.608], [9291, 0.036], + [9292, 0.246], [9293, 0.545], [9294, 0.992], [9295, 0.387], + [9296, 0.224], [9297, 0.032], [9299, 1.0], [9301, 1.0], + [9302, 1.0], [9304, 0.529], [9305, 0.05], [9306, 0.99], + [9307, 0.146], [9309, 0.013], [9310, 0.178], [9311, 1.0], + [9312, 1.0], [9313, 1.0], [9314, 1.0], [9315, 1.0], + [9316, 1.0], [9317, 1.0], [9318, 1.0], [9319, 1.0], + [9320, 1.0], [9321, 1.0], [9322, 1.0], [9323, 1.0], + [9324, 0.727], [9325, 0.748], [9326, 0.814], [9327, 0.634], + [9328, 0.599], [9329, 0.642], [9330, 0.876], [9331, 0.865], + [9332, 0.737], [9333, 0.841], [9573, 0.126], [9574, 0.146], + [9581, 1.0], [9582, 1.0], [9583, 1.0], [9584, 1.0], + [9585, 1.0], [9586, 0.932], [9589, 0.013], [9590, 0.038], + [9591, 0.743], [9592, 0.482], [9593, 0.512], [9594, 0.078], + [9595, 0.057], [9596, 0.833], [9597, 0.014], [9598, 0.015], + [9601, 0.326], [9602, 0.323], [9603, 0.377], [9604, 0.377], + [9605, 0.921], [9606, 0.948], [9607, 1.0], [9608, 1.0], + [9609, 1.0], [9610, 0.642], [9611, 0.641], [9729, 0.128], + [9730, 0.026], [9733, 1.0], [9734, 1.0], [9735, 0.197], + [9736, 0.03], [9739, 1.0], [9740, 0.943], [9742, 0.033], + [9743, 0.075], [9744, 0.668], [9746, 0.031], [9747, 0.298], + [9748, 0.428], [9749, 1.0], [9750, 1.0], [9751, 1.0], + [9752, 0.497], [9753, 0.045], [9755, 0.39], [9757, 1.0], + [9758, 1.0], [9759, 0.604], [9760, 0.941], [9761, 0.123], + [9762, 0.113], [9763, 1.0], [9764, 1.0], [9765, 1.0], + [9766, 0.812], [9767, 0.713], [13878, 1.0], [13879, 1.0], + [13880, 1.0], [13881, 1.0], [13882, 1.0], [13883, 1.0], + [13884, 1.0], [13885, 1.0] + ], + "finger5-3.R": [ + [2474, 0.096], [2475, 0.204], [2476, 0.107], [2477, 0.123], + [2480, 0.008], [2490, 0.019], [2491, 0.125], [2494, 0.078], + [2495, 0.217], [2498, 1.0], [2499, 1.0], [2500, 1.0], + [2501, 1.0], [2502, 1.0], [2503, 1.0], [2504, 1.0], + [2505, 1.0], [2506, 1.0], [2507, 1.0], [2508, 1.0], + [2509, 1.0], [2510, 1.0], [2511, 1.0], [2512, 1.0], + [2513, 0.109], [2517, 1.0], [2518, 0.024], [2519, 0.014], + [2522, 0.905], [2523, 1.0], [2524, 1.0], [2525, 0.956], + [2526, 1.0], [2527, 1.0], [2528, 0.955], [2529, 1.0], + [2530, 0.963], [2531, 0.76], [2532, 0.938], [2533, 0.898], + [2534, 0.761], [2535, 0.879], [2536, 0.858], [2537, 0.747], + [2541, 0.002], [2547, 0.094], [2550, 0.051], [2551, 0.024], + [2552, 0.011], [2553, 0.107], [2554, 0.456], [2555, 0.558], + [2556, 0.48], [2557, 0.446], [2558, 0.662], [2559, 0.543], + [2560, 0.44], [2561, 0.605], [2562, 0.034], [2563, 0.023], + [2564, 0.052], [2565, 0.06], [2566, 0.025], [2567, 0.029], + [2568, 0.041], [2569, 0.025], [2570, 0.087], [2571, 0.049], + [2572, 0.044], [2573, 0.109], [2578, 0.033], [2579, 0.014], + [2580, 0.005], [2581, 0.009], [2586, 0.322], [2587, 0.373], + [2588, 0.398], [2589, 0.302], [2590, 0.209], [2591, 0.176], + [2592, 0.307], [2593, 0.267], [2594, 0.362], [2595, 0.424], + [2596, 0.519], [2597, 0.393], [2598, 0.447], [2599, 0.251], + [2600, 0.408], [2601, 0.319], [2602, 0.988], [2603, 0.906], + [2604, 0.928], [2605, 1.0], [2606, 0.91], [2607, 0.913], + [2608, 0.901], [2609, 0.937], [2610, 0.041], [2611, 0.016], + [2614, 1.0], [2615, 1.0], [2616, 1.0], [2617, 0.971], + [2619, 0.06], [2620, 0.029], [2621, 0.608], [2623, 0.036], + [2624, 0.246], [2625, 0.545], [2626, 0.992], [2627, 0.387], + [2628, 0.224], [2629, 0.032], [2631, 1.0], [2633, 1.0], + [2634, 1.0], [2636, 0.529], [2637, 0.05], [2638, 0.99], + [2639, 0.146], [2641, 0.013], [2642, 0.178], [2643, 1.0], + [2644, 1.0], [2645, 1.0], [2646, 1.0], [2647, 1.0], + [2648, 1.0], [2649, 1.0], [2650, 1.0], [2651, 1.0], + [2652, 1.0], [2653, 1.0], [2654, 1.0], [2655, 1.0], + [2656, 0.727], [2657, 0.748], [2658, 0.814], [2659, 0.634], + [2660, 0.599], [2661, 0.642], [2662, 0.876], [2663, 0.865], + [2664, 0.737], [2665, 0.841], [2905, 0.126], [2906, 0.146], + [2913, 1.0], [2914, 1.0], [2915, 1.0], [2916, 1.0], + [2917, 1.0], [2918, 0.932], [2921, 0.013], [2922, 0.038], + [2923, 0.743], [2924, 0.482], [2925, 0.512], [2926, 0.078], + [2927, 0.057], [2928, 0.833], [2929, 0.014], [2930, 0.015], + [2933, 0.326], [2934, 0.323], [2935, 0.377], [2936, 0.377], + [2937, 0.921], [2938, 0.948], [2939, 1.0], [2940, 1.0], + [2941, 1.0], [2942, 0.642], [2943, 0.641], [3061, 0.128], + [3062, 0.026], [3065, 1.0], [3066, 1.0], [3067, 0.197], + [3068, 0.03], [3071, 1.0], [3072, 0.943], [3074, 0.033], + [3075, 0.075], [3076, 0.668], [3078, 0.031], [3079, 0.298], + [3080, 0.428], [3081, 1.0], [3082, 1.0], [3083, 1.0], + [3084, 0.497], [3085, 0.045], [3087, 0.39], [3089, 1.0], + [3090, 1.0], [3091, 0.604], [3092, 0.941], [3093, 0.123], + [3094, 0.113], [3095, 1.0], [3096, 1.0], [3097, 1.0], + [3098, 0.812], [3099, 0.713], [14318, 1.0], [14319, 1.0], + [14320, 1.0], [14321, 1.0], [14322, 1.0], [14323, 1.0], + [14324, 1.0], [14325, 1.0] + ], + "foot.L": [ + [11354, 0.011], [11355, 0.009], [11356, 0.016], [11357, 0.008], + [11358, 0.009], [11359, 0.01], [11360, 0.01], [11361, 0.01], + [11362, 0.008], [11363, 0.016], [11364, 0.016], [11365, 0.016], + [11366, 0.016], [11367, 0.016], [11368, 0.013], [11369, 0.004], + [11370, 0.006], [11371, 0.014], [11372, 0.007], [11373, 0.02], + [11374, 0.018], [11375, 0.03], [11376, 0.015], [11377, 0.017], + [11378, 0.019], [11379, 0.019], [11380, 0.023], [11381, 0.016], + [11382, 0.032], [11383, 0.029], [11384, 0.032], [11385, 0.033], + [11386, 0.029], [11387, 0.026], [11388, 0.008], [11389, 0.011], + [11390, 0.031], [11391, 0.013], [11392, 0.047], [11393, 0.043], + [11394, 0.07], [11395, 0.035], [11396, 0.04], [11397, 0.046], + [11398, 0.043], [11399, 0.051], [11400, 0.038], [11401, 0.072], + [11402, 0.071], [11403, 0.07], [11404, 0.072], [11405, 0.07], + [11406, 0.06], [11407, 0.018], [11408, 0.026], [11409, 0.067], + [11410, 0.031], [11411, 1.0], [11412, 1.0], [11413, 1.0], + [11414, 1.0], [11415, 1.0], [11416, 0.125], [11417, 0.153], + [11418, 0.246], [11419, 0.208], [11420, 0.351], [11421, 0.08], + [11422, 0.074], [11423, 0.121], [11424, 0.064], [11425, 0.071], + [11426, 0.081], [11427, 0.078], [11428, 0.12], [11429, 0.09], + [11430, 0.127], [11431, 0.117], [11432, 0.125], [11433, 0.12], + [11434, 0.103], [11435, 0.031], [11436, 0.046], [11437, 0.128], + [11438, 0.054], [11439, 0.155], [11440, 0.144], [11441, 0.222], + [11442, 0.116], [11443, 0.131], [11444, 0.641], [11445, 0.144], + [11446, 0.222], [11447, 0.169], [11448, 0.236], [11449, 0.22], + [11450, 0.234], [11451, 0.224], [11452, 0.196], [11453, 0.059], + [11454, 0.086], [11455, 0.239], [11456, 0.101], [11457, 0.356], + [11458, 0.355], [11459, 0.286], [11460, 0.375], [11461, 0.34], + [11462, 0.372], [11463, 0.343], [11464, 0.381], [12368, 0.004], + [12370, 0.07], [12371, 0.002], [12372, 0.174], [12373, 0.019], + [12374, 0.076], [12375, 0.132], [12376, 0.289], [12377, 0.028], + [12378, 0.887], [12379, 0.744], [12380, 0.421], [12381, 0.075], + [12382, 0.679], [12383, 0.338], [12384, 0.661], [12385, 0.502], + [12386, 0.518], [12387, 0.227], [12388, 0.863], [12389, 0.909], + [12390, 0.925], [12391, 0.295], [12392, 0.848], [12393, 0.593], + [12394, 0.901], [12395, 0.656], [12396, 0.897], [12397, 0.414], + [12442, 1.0], [12449, 0.01], [12450, 0.026], [12453, 1.0], + [12456, 0.022], [12457, 0.336], [12458, 0.001], [12460, 0.74], + [12461, 0.849], [12462, 0.191], [12463, 0.105], [12464, 0.976], + [12465, 0.478], [12466, 0.598], [12467, 0.163], [12468, 0.106], + [12469, 0.337], [12470, 0.054], [12581, 0.004], [12582, 0.052], + [12587, 0.02], [12588, 0.183], [12591, 0.903], [12592, 0.756], + [12593, 0.042], [12594, 0.082], [12595, 0.565], [12596, 0.602], + [12597, 0.045], [12598, 0.61], [12599, 0.093], [12600, 0.168], + [12694, 0.009], [12697, 0.008], [12711, 0.045], [12712, 0.014], + [12714, 0.012], [12717, 0.012], [12718, 0.007], [12719, 0.003], + [12720, 0.006], [12721, 0.892], [12722, 0.87], [12723, 0.132], + [12724, 0.201], [12725, 0.396], [12726, 0.427], [12727, 0.68], + [12728, 0.662], [12729, 0.142], [12730, 0.38], [12731, 0.028], + [12732, 0.001], [12733, 0.164], [12734, 0.02], [12736, 0.012], + [12737, 0.08], [12738, 0.027], [12739, 0.003], [12740, 0.535], + [12741, 0.389], [12742, 0.226], [12743, 0.521], [12744, 0.567], + [12745, 0.192], [12746, 0.666], [12747, 0.768], [12748, 0.901], + [12749, 0.447], [12750, 0.773], [12751, 0.905], [12752, 0.896], + [12753, 0.195], [12754, 0.868], [12764, 0.005], [12765, 0.51], + [12766, 0.697], [12778, 0.888], [12779, 0.797], [12783, 1.0], + [12784, 1.0], [12785, 1.0], [12786, 1.0], [12787, 1.0], + [12788, 1.0], [12789, 1.0], [12790, 1.0], [12791, 1.0], + [12792, 1.0], [12793, 1.0], [12794, 1.0], [12795, 1.0], + [12796, 1.0], [12797, 1.0], [12798, 1.0], [12799, 1.0], + [12800, 1.0], [12801, 1.0], [12802, 1.0], [12803, 1.0], + [12804, 1.0], [12805, 1.0], [12806, 1.0], [12807, 1.0], + [12808, 1.0], [12809, 1.0], [12810, 1.0], [12811, 1.0], + [12812, 1.0], [12813, 1.0], [12814, 1.0], [12815, 1.0], + [12816, 0.951], [12817, 1.0], [12818, 0.907], [12819, 0.908], + [12820, 1.0], [12821, 0.916], [12822, 0.915], [12823, 1.0], + [12824, 0.904], [12825, 1.0], [12826, 0.887], [12827, 0.911], + [12828, 0.91], [12829, 0.895], [12830, 0.889], [12831, 0.847], + [12832, 0.777], [12833, 0.771], [12834, 0.807], [12835, 0.81], + [12836, 0.848], [12837, 0.643], [12838, 0.757], [12839, 1.0], + [12840, 1.0], [12841, 0.754], [12842, 0.803], [12843, 0.795], + [12844, 0.734], [12845, 0.725], [12846, 1.0], [12847, 1.0], + [12848, 0.994], [12849, 1.0], [12850, 1.0], [12851, 1.0], + [12852, 1.0], [12853, 1.0], [12854, 1.0], [12855, 1.0], + [12856, 1.0], [12857, 1.0], [12858, 1.0], [12859, 1.0], + [12860, 1.0], [12861, 1.0], [12862, 1.0], [12863, 1.0], + [12864, 1.0], [12865, 1.0], [12866, 1.0], [12867, 1.0], + [12868, 1.0], [12869, 1.0], [12870, 1.0], [12871, 1.0], + [12872, 1.0], [12873, 1.0], [12874, 1.0], [12875, 1.0], + [12876, 1.0], [12877, 1.0], [12878, 1.0], [12879, 1.0], + [12880, 1.0], [12881, 1.0], [12882, 1.0], [12883, 1.0], + [12884, 0.992], [12885, 0.418], [12886, 1.0], [12887, 1.0], + [12888, 1.0], [12889, 1.0], [12890, 1.0], [12891, 1.0], + [12892, 1.0], [12893, 1.0], [12894, 1.0], [12895, 1.0], + [12896, 1.0], [12897, 1.0], [12898, 1.0], [12899, 1.0], + [12900, 1.0], [12901, 1.0], [12902, 1.0], [12903, 1.0], + [12904, 1.0], [12905, 1.0], [12906, 1.0], [12907, 1.0], + [12908, 1.0], [12909, 1.0], [12910, 1.0], [12911, 1.0], + [12912, 1.0], [12913, 1.0], [12914, 1.0], [12915, 1.0], + [12916, 1.0], [12917, 1.0], [12918, 1.0], [12919, 0.982], + [12920, 1.0], [12921, 0.936], [12922, 0.572], [12923, 0.769], + [12924, 0.972], [12925, 1.0], [12926, 1.0], [12927, 0.107], + [12928, 0.868], [12929, 1.0], [12930, 1.0], [12931, 1.0], + [12933, 1.0], [12934, 1.0], [12935, 0.358], [12936, 1.0], + [12937, 0.987], [12938, 0.914], [12939, 0.644], [12940, 0.648], + [12941, 0.991], [12942, 0.436], [12943, 0.929], [12944, 0.961], + [12945, 0.444], [12946, 0.674], [12947, 0.992], [12948, 0.963], + [12949, 0.928], [12950, 0.735], [12951, 0.938], [12952, 0.978], + [12953, 1.0], [12954, 0.775], [12955, 0.539], [12956, 0.554], + [12957, 0.303], [12958, 0.23], [12959, 0.591], [12960, 0.208], + [12961, 0.227], [12962, 0.173], [12963, 0.25], [12964, 0.149], + [12965, 0.19], [12966, 0.605], [12967, 0.57], [12968, 0.9], + [12969, 0.484], [12970, 0.832], [12971, 0.264], [12972, 0.381], + [12973, 0.393], [12974, 0.35], [12975, 0.367], [12976, 0.355], + [12977, 0.983], [12978, 0.505], [12979, 0.564], [12980, 0.193], + [12981, 0.59], [12982, 0.613], [12983, 0.596], [12984, 0.279], + [12985, 0.564], [12986, 0.785], [12988, 0.882], [13009, 0.008], + [13010, 0.017], [13011, 0.04], [13012, 0.065], [13013, 0.07], + [13014, 0.135], [13015, 1.0], [13016, 1.0], [13017, 1.0], + [13018, 1.0], [13019, 1.0], [13020, 1.0], [13021, 1.0], + [13022, 1.0], [13023, 1.0], [13024, 0.979], [13025, 0.867], + [13026, 0.531], [13027, 0.697], [13028, 0.218], [13029, 0.358], + [13030, 0.98], [13031, 1.0], [13032, 1.0], [13033, 1.0], + [13034, 1.0], [13035, 0.906], [13036, 0.6], [13037, 1.0], + [13038, 0.994], [13039, 1.0], [13040, 1.0], [13041, 1.0], + [13042, 1.0], [13043, 1.0], [13044, 1.0], [13045, 1.0], + [13046, 1.0], [13047, 1.0], [13048, 1.0], [13049, 1.0], + [13050, 1.0], [13051, 1.0], [13052, 1.0], [13053, 1.0], + [13054, 1.0], [13055, 1.0], [13056, 1.0], [13057, 1.0], + [13058, 1.0], [13059, 1.0], [13060, 1.0], [13061, 1.0], + [13062, 1.0], [13063, 1.0], [13064, 1.0], [13065, 1.0], + [13066, 1.0], [13067, 1.0], [13068, 1.0], [13069, 1.0], + [13096, 0.786], [13097, 0.399], [13098, 0.002], [13099, 0.117], + [13100, 0.828], [13101, 0.533], [13116, 0.495], [13117, 0.097], + [13120, 0.724], [13121, 0.102], [13122, 0.005], [13137, 0.805], + [13144, 0.583], [13149, 0.013], [13150, 0.02], [13154, 0.912], + [13155, 0.001], [13233, 0.007], [13235, 0.005], [13243, 0.009], + [13245, 0.006], [13247, 0.01], [13249, 0.006], [13253, 0.011], + [13254, 0.01], [13255, 0.011], [13256, 0.007], [13257, 0.017], + [13259, 0.008], [13295, 0.005], [13296, 0.947], [13297, 0.032], + [13298, 0.012], [13299, 0.875], [13300, 0.853], [13301, 0.936], + [13302, 1.0], [13303, 1.0], [13304, 0.899], [13305, 0.904], + [13306, 0.921], [13307, 0.987], [13308, 1.0], [13309, 1.0], + [13310, 1.0], [13311, 1.0], [13312, 1.0], [13313, 1.0], + [13314, 1.0], [13315, 1.0], [13316, 0.847], [13317, 0.926], + [13318, 0.867], [13319, 0.891], [13320, 0.947], [13321, 0.951], + [13322, 0.956], [13323, 0.804], [13324, 0.935], [13325, 0.884], + [13326, 0.947], [13327, 0.941], [13328, 0.91], [13329, 1.0], + [13330, 1.0], [13331, 1.0], [13670, 1.0], [13671, 1.0], + [13672, 1.0], [13673, 1.0], [13674, 1.0], [13675, 1.0], + [13676, 1.0], [13677, 1.0], [16632, 0.235], [16633, 0.042], + [16634, 0.063], [16635, 0.105], [16636, 0.075], [16637, 0.114], + [16638, 0.086], [16639, 0.047], [16640, 0.054], [16641, 0.056], + [16642, 0.09], [16643, 0.085], [16644, 0.084], [16645, 0.08], + [16646, 0.078], [16647, 0.073], [16648, 0.119], [16649, 0.077], + [16650, 0.072], [16651, 0.089], [16652, 0.127], [16653, 0.117], + [16654, 0.127], [16655, 0.119], [16656, 0.105], [16657, 0.034], + [16658, 0.043], [16659, 0.122], [16660, 0.053], [16661, 0.171], + [16662, 0.143], [16663, 0.178], [16664, 0.162], [16665, 0.189], + [16666, 0.167], [16667, 0.181], [16668, 0.233], [16669, 0.053], + [16670, 0.141], [16671, 0.119], [16672, 0.115], [16673, 0.087], + [16674, 0.122], [16675, 0.074], [16676, 0.126], [16677, 0.282], + [16678, 0.255], [16679, 0.242], [16680, 0.164], [16681, 0.233], + [16682, 0.26], [16683, 0.247], [16684, 0.212], [16685, 0.225], + [16686, 0.254], [16687, 0.117], [16688, 0.266], [16689, 0.273], + [16690, 0.287], [16691, 0.17], [16692, 0.051], [16693, 0.071], + [16694, 0.109], [16695, 0.19], [16707, 0.417], [16708, 0.442], + [16709, 0.426], [16710, 0.444], [16711, 0.445], [16712, 0.5], + [16713, 0.346], [16714, 0.359], [16715, 0.391], [16716, 0.397], + [16717, 0.5], [16718, 0.5], [16719, 0.499], [16720, 0.338], + [16721, 0.374], [16722, 0.5], [16723, 0.5], [16724, 0.5], + [16725, 0.5], [16726, 0.5], [16727, 0.5], [16728, 0.493], + [16729, 0.5], [16730, 0.498], [16731, 0.5], [16732, 0.5], + [16733, 0.5], [16734, 0.5], [16735, 0.5], [16736, 0.5], + [16737, 0.5], [16738, 0.386], [16739, 0.435], [16740, 0.46], + [16741, 0.448], [16742, 0.436], [16743, 0.492], [16744, 0.418], + [16745, 0.499], [16746, 0.5], [16747, 0.5], [16748, 0.5], + [16749, 0.5], [16750, 0.5], [16751, 0.5], [16752, 0.5], + [16753, 0.5], [16754, 0.392], [16755, 0.5], [16756, 0.5], + [16757, 0.5], [16758, 0.414], [16759, 0.5], [16760, 0.5], + [16761, 0.497], [16762, 0.424], [16785, 0.007], [16790, 0.15], + [16791, 0.162], [16792, 0.032], [16795, 0.273], [16796, 0.227], + [16800, 0.415], [16801, 0.396], [16802, 0.448], [16803, 0.491], + [16804, 0.489], [16805, 0.426], [16806, 0.425], [16807, 0.432], + [16808, 0.443], [16809, 0.471], [16810, 0.462], [16811, 0.454], + [16812, 0.463], [16813, 0.439], [16814, 0.45], [16815, 0.448], + [16816, 0.5], [16817, 0.5], [16818, 0.5], [16819, 0.5], + [16820, 0.5], [16821, 0.5], [16822, 0.499], [16823, 0.5], + [16824, 0.5], [16825, 0.5], [16826, 0.5], [16827, 0.5], + [16828, 0.5], [16829, 0.332], [16830, 0.394], [16831, 0.5], + [16832, 0.5], [16833, 0.452], [16834, 0.396], [16835, 0.5], + [16836, 0.482], [16837, 0.496], [16838, 0.489], [16839, 0.5], + [16840, 0.5], [16841, 0.5], [16842, 0.5], [16843, 0.429], + [16844, 0.361], [16845, 0.5], [16846, 0.5], [16847, 0.5], + [16848, 0.5], [16849, 0.493], [16850, 0.489], [16851, 0.483], + [16852, 0.5], [16853, 0.473], [16864, 0.004], [16871, 0.008], + [16878, 0.017], [16989, 0.029], [17656, 0.006], [17657, 0.005], + [17658, 0.008], [17659, 0.005], [17660, 0.005], [17661, 0.005], + [17662, 0.005], [17663, 0.008], [17664, 0.008], [17665, 0.009], + [17666, 0.007], [17667, 0.008], [17668, 0.006], [17669, 0.002], + [17670, 0.003], [17671, 0.003], [17672, 0.01], [17673, 0.009], + [17674, 0.015], [17675, 0.009], [17676, 0.009], [17677, 0.009], + [17678, 0.01], [17679, 0.016], [17680, 0.015], [17681, 0.016], + [17682, 0.014], [17683, 0.015], [17684, 0.013], [17685, 0.004], + [17686, 0.006], [17687, 0.007], [17688, 0.022], [17689, 0.02], + [17690, 0.032], [17691, 0.02], [17692, 0.018], [17693, 0.021], + [17694, 0.021], [17695, 0.034], [17696, 0.033], [17697, 0.036], + [17698, 0.03], [17699, 0.032], [17700, 0.029], [17701, 0.01], + [17702, 0.012], [17703, 0.014], [17704, 0.034], [17705, 0.032], + [17706, 0.054], [17707, 0.035], [17708, 0.03], [17709, 0.034], + [17710, 0.035], [17711, 0.056], [17712, 0.053], [17713, 0.056], + [17714, 0.053], [17715, 0.054], [17716, 0.047], [17717, 0.015], + [17718, 0.019], [17719, 0.023], [17720, 0.059], [17721, 0.054], + [17722, 0.056], [17723, 0.086], [17724, 0.075], [17725, 0.024], + [17726, 0.03], [17727, 0.041], [17742, 0.004], [17743, 0.009], + [17744, 0.02], [17745, 0.031], [17980, 0.5], [17981, 0.5], + [17982, 0.5], [17983, 0.5], [17984, 0.5], [17985, 0.5], + [17986, 0.049], [17990, 0.5], [17991, 0.5], [17992, 0.5], + [17993, 0.5], [17996, 0.5], [17997, 0.5], [17998, 0.5], + [17999, 0.5], [18000, 0.454], [18001, 0.437] + ], + "foot.R": [ + [4736, 0.011], [4737, 0.009], [4738, 0.016], [4739, 0.008], + [4740, 0.009], [4741, 0.01], [4742, 0.01], [4743, 0.01], + [4744, 0.008], [4745, 0.016], [4746, 0.016], [4747, 0.016], + [4748, 0.016], [4749, 0.016], [4750, 0.013], [4751, 0.004], + [4752, 0.006], [4753, 0.014], [4754, 0.007], [4755, 0.02], + [4756, 0.018], [4757, 0.03], [4758, 0.015], [4759, 0.017], + [4760, 0.019], [4761, 0.019], [4762, 0.023], [4763, 0.016], + [4764, 0.032], [4765, 0.029], [4766, 0.032], [4767, 0.033], + [4768, 0.029], [4769, 0.026], [4770, 0.008], [4771, 0.011], + [4772, 0.031], [4773, 0.013], [4774, 0.047], [4775, 0.043], + [4776, 0.07], [4777, 0.035], [4778, 0.04], [4779, 0.046], + [4780, 0.043], [4781, 0.051], [4782, 0.038], [4783, 0.072], + [4784, 0.071], [4785, 0.07], [4786, 0.072], [4787, 0.07], + [4788, 0.06], [4789, 0.018], [4790, 0.026], [4791, 0.067], + [4792, 0.031], [4793, 1.0], [4794, 1.0], [4795, 1.0], + [4796, 1.0], [4797, 1.0], [4798, 0.125], [4799, 0.153], + [4800, 0.246], [4801, 0.208], [4802, 0.351], [4803, 0.08], + [4804, 0.074], [4805, 0.121], [4806, 0.064], [4807, 0.071], + [4808, 0.081], [4809, 0.078], [4810, 0.12], [4811, 0.09], + [4812, 0.127], [4813, 0.117], [4814, 0.125], [4815, 0.12], + [4816, 0.103], [4817, 0.031], [4818, 0.046], [4819, 0.128], + [4820, 0.054], [4821, 0.155], [4822, 0.144], [4823, 0.222], + [4824, 0.116], [4825, 0.131], [4826, 0.641], [4827, 0.144], + [4828, 0.222], [4829, 0.169], [4830, 0.236], [4831, 0.22], + [4832, 0.234], [4833, 0.224], [4834, 0.196], [4835, 0.059], + [4836, 0.086], [4837, 0.239], [4838, 0.101], [4839, 0.356], + [4840, 0.355], [4841, 0.286], [4842, 0.375], [4843, 0.34], + [4844, 0.372], [4845, 0.343], [4846, 0.381], [5771, 0.004], + [5773, 0.07], [5774, 0.002], [5775, 0.174], [5776, 0.019], + [5777, 0.076], [5778, 0.132], [5779, 0.289], [5780, 0.028], + [5781, 0.887], [5782, 0.744], [5783, 0.421], [5784, 0.075], + [5785, 0.679], [5786, 0.338], [5787, 0.661], [5788, 0.502], + [5789, 0.518], [5790, 0.227], [5791, 0.863], [5792, 0.909], + [5793, 0.925], [5794, 0.295], [5795, 0.848], [5796, 0.593], + [5797, 0.901], [5798, 0.656], [5799, 0.897], [5800, 0.414], + [5845, 1.0], [5852, 0.01], [5853, 0.026], [5856, 1.0], + [5859, 0.022], [5860, 0.336], [5861, 0.001], [5863, 0.74], + [5864, 0.849], [5865, 0.191], [5866, 0.105], [5867, 0.976], + [5868, 0.478], [5869, 0.598], [5870, 0.163], [5871, 0.106], + [5872, 0.337], [5873, 0.054], [5984, 0.004], [5985, 0.052], + [5990, 0.02], [5991, 0.183], [5994, 0.903], [5995, 0.756], + [5996, 0.042], [5997, 0.082], [5998, 0.565], [5999, 0.602], + [6000, 0.045], [6001, 0.61], [6002, 0.093], [6003, 0.168], + [6097, 0.009], [6100, 0.008], [6114, 0.045], [6115, 0.014], + [6117, 0.012], [6120, 0.012], [6121, 0.007], [6122, 0.003], + [6123, 0.006], [6124, 0.892], [6125, 0.87], [6126, 0.132], + [6127, 0.201], [6128, 0.396], [6129, 0.427], [6130, 0.68], + [6131, 0.662], [6132, 0.142], [6133, 0.38], [6134, 0.028], + [6135, 0.001], [6136, 0.164], [6137, 0.02], [6139, 0.012], + [6140, 0.08], [6141, 0.027], [6142, 0.003], [6143, 0.535], + [6144, 0.389], [6145, 0.226], [6146, 0.521], [6147, 0.567], + [6148, 0.192], [6149, 0.666], [6150, 0.768], [6151, 0.901], + [6152, 0.447], [6153, 0.773], [6154, 0.905], [6155, 0.896], + [6156, 0.195], [6157, 0.868], [6167, 0.005], [6168, 0.51], + [6169, 0.697], [6181, 0.888], [6182, 0.797], [6186, 1.0], + [6187, 1.0], [6188, 1.0], [6189, 1.0], [6190, 1.0], + [6191, 1.0], [6192, 1.0], [6193, 1.0], [6194, 1.0], + [6195, 1.0], [6196, 1.0], [6197, 1.0], [6198, 1.0], + [6199, 1.0], [6200, 1.0], [6201, 1.0], [6202, 1.0], + [6203, 1.0], [6204, 1.0], [6205, 1.0], [6206, 1.0], + [6207, 1.0], [6208, 1.0], [6209, 1.0], [6210, 1.0], + [6211, 1.0], [6212, 1.0], [6213, 1.0], [6214, 1.0], + [6215, 1.0], [6216, 1.0], [6217, 1.0], [6218, 1.0], + [6219, 0.951], [6220, 1.0], [6221, 0.907], [6222, 0.908], + [6223, 1.0], [6224, 0.916], [6225, 0.915], [6226, 1.0], + [6227, 0.904], [6228, 1.0], [6229, 0.887], [6230, 0.911], + [6231, 0.91], [6232, 0.895], [6233, 0.889], [6234, 0.847], + [6235, 0.777], [6236, 0.771], [6237, 0.807], [6238, 0.81], + [6239, 0.848], [6240, 0.643], [6241, 0.757], [6242, 1.0], + [6243, 1.0], [6244, 0.754], [6245, 0.803], [6246, 0.795], + [6247, 0.734], [6248, 0.725], [6249, 1.0], [6250, 1.0], + [6251, 0.994], [6252, 1.0], [6253, 1.0], [6254, 1.0], + [6255, 1.0], [6256, 1.0], [6257, 1.0], [6258, 1.0], + [6259, 1.0], [6260, 1.0], [6261, 1.0], [6262, 1.0], + [6263, 1.0], [6264, 1.0], [6265, 1.0], [6266, 1.0], + [6267, 1.0], [6268, 1.0], [6269, 1.0], [6270, 1.0], + [6271, 1.0], [6272, 1.0], [6273, 1.0], [6274, 1.0], + [6275, 1.0], [6276, 1.0], [6277, 1.0], [6278, 1.0], + [6279, 1.0], [6280, 1.0], [6281, 1.0], [6282, 1.0], + [6283, 1.0], [6284, 1.0], [6285, 1.0], [6286, 1.0], + [6287, 0.992], [6288, 0.418], [6289, 1.0], [6290, 1.0], + [6291, 1.0], [6292, 1.0], [6293, 1.0], [6294, 1.0], + [6295, 1.0], [6296, 1.0], [6297, 1.0], [6298, 1.0], + [6299, 1.0], [6300, 1.0], [6301, 1.0], [6302, 1.0], + [6303, 1.0], [6304, 1.0], [6305, 1.0], [6306, 1.0], + [6307, 1.0], [6308, 1.0], [6309, 1.0], [6310, 1.0], + [6311, 1.0], [6312, 1.0], [6313, 1.0], [6314, 1.0], + [6315, 1.0], [6316, 1.0], [6317, 1.0], [6318, 1.0], + [6319, 1.0], [6320, 1.0], [6321, 1.0], [6322, 0.982], + [6323, 1.0], [6324, 0.936], [6325, 0.572], [6326, 0.769], + [6327, 0.972], [6328, 1.0], [6329, 1.0], [6330, 0.107], + [6331, 0.868], [6332, 1.0], [6333, 1.0], [6334, 1.0], + [6336, 1.0], [6337, 1.0], [6338, 0.358], [6339, 1.0], + [6340, 0.987], [6341, 0.914], [6342, 0.644], [6343, 0.648], + [6344, 0.991], [6345, 0.436], [6346, 0.929], [6347, 0.961], + [6348, 0.444], [6349, 0.674], [6350, 0.992], [6351, 0.963], + [6352, 0.928], [6353, 0.735], [6354, 0.938], [6355, 0.978], + [6356, 1.0], [6357, 0.775], [6358, 0.539], [6359, 0.554], + [6360, 0.303], [6361, 0.23], [6362, 0.591], [6363, 0.208], + [6364, 0.227], [6365, 0.173], [6366, 0.25], [6367, 0.149], + [6368, 0.19], [6369, 0.605], [6370, 0.57], [6371, 0.9], + [6372, 0.484], [6373, 0.832], [6374, 0.264], [6375, 0.381], + [6376, 0.393], [6377, 0.35], [6378, 0.367], [6379, 0.355], + [6380, 0.983], [6381, 0.505], [6382, 0.564], [6383, 0.193], + [6384, 0.59], [6385, 0.613], [6386, 0.596], [6387, 0.279], + [6388, 0.564], [6389, 0.785], [6391, 0.882], [6412, 0.008], + [6413, 0.017], [6414, 0.04], [6415, 0.065], [6416, 0.07], + [6417, 0.135], [6418, 1.0], [6419, 1.0], [6420, 1.0], + [6421, 1.0], [6422, 1.0], [6423, 1.0], [6424, 1.0], + [6425, 1.0], [6426, 1.0], [6427, 0.979], [6428, 0.867], + [6429, 0.531], [6430, 0.697], [6432, 0.218], [6433, 0.358], + [6434, 0.98], [6435, 1.0], [6436, 1.0], [6437, 1.0], + [6438, 1.0], [6439, 0.906], [6440, 0.6], [6441, 1.0], + [6442, 0.994], [6443, 1.0], [6444, 1.0], [6445, 1.0], + [6446, 1.0], [6447, 1.0], [6448, 1.0], [6449, 1.0], + [6450, 1.0], [6451, 1.0], [6452, 1.0], [6453, 1.0], + [6454, 1.0], [6455, 1.0], [6456, 1.0], [6457, 1.0], + [6458, 1.0], [6459, 1.0], [6460, 1.0], [6461, 1.0], + [6462, 1.0], [6463, 1.0], [6464, 1.0], [6465, 1.0], + [6466, 1.0], [6467, 1.0], [6468, 1.0], [6469, 1.0], + [6470, 1.0], [6471, 1.0], [6472, 1.0], [6473, 1.0], + [6500, 0.786], [6501, 0.399], [6502, 0.002], [6503, 0.117], + [6504, 0.828], [6505, 0.533], [6520, 0.495], [6521, 0.097], + [6524, 0.724], [6525, 0.102], [6526, 0.005], [6541, 0.805], + [6548, 0.583], [6553, 0.013], [6554, 0.02], [6558, 0.912], + [6559, 0.001], [6637, 0.007], [6639, 0.005], [6647, 0.009], + [6649, 0.006], [6651, 0.01], [6653, 0.006], [6657, 0.011], + [6658, 0.01], [6659, 0.011], [6660, 0.007], [6661, 0.017], + [6663, 0.008], [6699, 0.005], [6700, 0.947], [6701, 0.032], + [6702, 0.012], [6703, 0.875], [6704, 0.853], [6705, 0.936], + [6706, 1.0], [6707, 1.0], [6708, 0.899], [6709, 0.904], + [6710, 0.921], [6711, 0.987], [6712, 1.0], [6713, 1.0], + [6714, 1.0], [6715, 1.0], [6716, 1.0], [6717, 1.0], + [6718, 1.0], [6719, 1.0], [6720, 0.847], [6721, 0.926], + [6722, 0.867], [6723, 0.891], [6724, 0.947], [6725, 0.951], + [6726, 0.956], [6727, 0.804], [6728, 0.935], [6729, 0.884], + [6730, 0.947], [6731, 0.941], [6732, 0.91], [6733, 1.0], + [6734, 1.0], [6735, 1.0], [14110, 1.0], [14111, 1.0], + [14112, 1.0], [14113, 1.0], [14114, 1.0], [14115, 1.0], + [14116, 1.0], [14117, 1.0], [15328, 0.235], [15329, 0.042], + [15330, 0.063], [15331, 0.105], [15332, 0.075], [15333, 0.114], + [15334, 0.086], [15335, 0.047], [15336, 0.054], [15337, 0.056], + [15338, 0.09], [15339, 0.085], [15340, 0.084], [15341, 0.08], + [15342, 0.078], [15343, 0.073], [15344, 0.119], [15345, 0.077], + [15346, 0.072], [15347, 0.089], [15348, 0.127], [15349, 0.117], + [15350, 0.127], [15351, 0.119], [15352, 0.105], [15353, 0.034], + [15354, 0.043], [15355, 0.122], [15356, 0.053], [15357, 0.171], + [15358, 0.143], [15359, 0.178], [15360, 0.162], [15361, 0.189], + [15362, 0.167], [15363, 0.181], [15364, 0.233], [15365, 0.053], + [15366, 0.141], [15367, 0.119], [15368, 0.115], [15369, 0.087], + [15370, 0.122], [15371, 0.074], [15372, 0.126], [15373, 0.282], + [15374, 0.255], [15375, 0.242], [15376, 0.164], [15377, 0.233], + [15378, 0.26], [15379, 0.247], [15380, 0.212], [15381, 0.225], + [15382, 0.254], [15383, 0.117], [15384, 0.266], [15385, 0.273], + [15386, 0.287], [15387, 0.17], [15388, 0.051], [15389, 0.071], + [15390, 0.109], [15391, 0.19], [15403, 0.417], [15404, 0.442], + [15405, 0.426], [15406, 0.444], [15407, 0.445], [15408, 0.5], + [15409, 0.346], [15410, 0.359], [15411, 0.391], [15412, 0.397], + [15413, 0.5], [15414, 0.5], [15415, 0.499], [15416, 0.338], + [15417, 0.374], [15418, 0.5], [15419, 0.5], [15420, 0.5], + [15421, 0.5], [15422, 0.5], [15423, 0.5], [15424, 0.493], + [15425, 0.5], [15426, 0.498], [15427, 0.5], [15428, 0.5], + [15429, 0.5], [15430, 0.5], [15431, 0.5], [15432, 0.5], + [15433, 0.5], [15434, 0.386], [15435, 0.435], [15436, 0.46], + [15437, 0.448], [15438, 0.436], [15439, 0.492], [15440, 0.418], + [15441, 0.499], [15442, 0.5], [15443, 0.5], [15444, 0.5], + [15445, 0.5], [15446, 0.5], [15447, 0.5], [15448, 0.5], + [15449, 0.5], [15450, 0.392], [15451, 0.5], [15452, 0.5], + [15453, 0.5], [15454, 0.414], [15455, 0.5], [15456, 0.5], + [15457, 0.497], [15458, 0.424], [15481, 0.007], [15486, 0.15], + [15487, 0.162], [15488, 0.032], [15491, 0.273], [15492, 0.227], + [15496, 0.415], [15497, 0.396], [15498, 0.448], [15499, 0.491], + [15500, 0.489], [15501, 0.426], [15502, 0.425], [15503, 0.432], + [15504, 0.443], [15505, 0.471], [15506, 0.462], [15507, 0.454], + [15508, 0.463], [15509, 0.439], [15510, 0.45], [15511, 0.448], + [15512, 0.5], [15513, 0.5], [15514, 0.5], [15515, 0.5], + [15516, 0.5], [15517, 0.5], [15518, 0.499], [15519, 0.5], + [15520, 0.5], [15521, 0.5], [15522, 0.5], [15523, 0.5], + [15524, 0.5], [15525, 0.332], [15526, 0.394], [15527, 0.5], + [15528, 0.5], [15529, 0.452], [15530, 0.396], [15531, 0.5], + [15532, 0.482], [15533, 0.496], [15534, 0.489], [15535, 0.5], + [15536, 0.5], [15537, 0.5], [15538, 0.5], [15539, 0.429], + [15540, 0.361], [15541, 0.5], [15542, 0.5], [15543, 0.5], + [15544, 0.5], [15545, 0.493], [15546, 0.489], [15547, 0.483], + [15548, 0.5], [15549, 0.473], [15560, 0.004], [15567, 0.008], + [15574, 0.017], [15677, 0.029], [16327, 0.006], [16328, 0.005], + [16329, 0.008], [16330, 0.005], [16331, 0.005], [16332, 0.005], + [16333, 0.005], [16334, 0.008], [16335, 0.008], [16336, 0.009], + [16337, 0.007], [16338, 0.008], [16339, 0.006], [16340, 0.002], + [16341, 0.003], [16342, 0.003], [16343, 0.01], [16344, 0.009], + [16345, 0.015], [16346, 0.009], [16347, 0.009], [16348, 0.009], + [16349, 0.01], [16350, 0.016], [16351, 0.015], [16352, 0.016], + [16353, 0.014], [16354, 0.015], [16355, 0.013], [16356, 0.004], + [16357, 0.006], [16358, 0.007], [16359, 0.022], [16360, 0.02], + [16361, 0.032], [16362, 0.02], [16363, 0.018], [16364, 0.021], + [16365, 0.021], [16366, 0.034], [16367, 0.033], [16368, 0.036], + [16369, 0.03], [16370, 0.032], [16371, 0.029], [16372, 0.01], + [16373, 0.012], [16374, 0.014], [16375, 0.034], [16376, 0.032], + [16377, 0.054], [16378, 0.035], [16379, 0.03], [16380, 0.034], + [16381, 0.035], [16382, 0.056], [16383, 0.053], [16384, 0.056], + [16385, 0.053], [16386, 0.054], [16387, 0.047], [16388, 0.015], + [16389, 0.019], [16390, 0.023], [16391, 0.059], [16392, 0.054], + [16393, 0.056], [16394, 0.086], [16395, 0.075], [16396, 0.024], + [16397, 0.03], [16398, 0.041], [16413, 0.004], [16414, 0.009], + [16415, 0.02], [16416, 0.031], [16610, 0.5], [16611, 0.5], + [16612, 0.5], [16613, 0.5], [16614, 0.5], [16615, 0.5], + [16616, 0.049], [16620, 0.5], [16621, 0.5], [16622, 0.5], + [16623, 0.5], [16626, 0.5], [16627, 0.5], [16628, 0.5], + [16629, 0.5], [16630, 0.454], [16631, 0.437] + ], + "head": [ + [0, 0.063], [1, 0.078], [2, 0.112], [3, 0.154], + [4, 0.148], [5, 0.202], [6, 0.048], [7, 0.144], + [8, 0.228], [9, 0.169], [10, 0.173], [11, 0.305], + [12, 0.381], [13, 0.344], [14, 0.348], [15, 0.412], + [16, 0.404], [17, 0.416], [18, 0.463], [19, 0.449], + [20, 0.481], [21, 0.493], [22, 0.462], [23, 0.463], + [24, 0.397], [25, 0.433], [26, 0.451], [27, 0.43], + [28, 0.37], [29, 0.442], [30, 0.227], [31, 0.226], + [32, 0.231], [33, 0.072], [34, 0.063], [35, 0.081], + [36, 0.019], [37, 0.038], [38, 0.055], [39, 0.058], + [40, 0.047], [41, 0.027], [42, 0.074], [43, 0.076], + [44, 0.098], [45, 0.14], [46, 0.155], [47, 0.162], + [48, 0.317], [49, 0.286], [50, 0.26], [51, 0.797], + [52, 0.742], [53, 0.647], [54, 0.167], [55, 0.227], + [56, 0.257], [57, 0.397], [58, 0.46], [59, 0.51], + [60, 0.738], [61, 0.804], [62, 0.784], [63, 0.978], + [64, 0.958], [65, 0.938], [66, 1.0], [67, 0.943], + [68, 0.899], [69, 0.965], [70, 0.947], [71, 0.931], + [72, 0.847], [73, 0.894], [74, 0.948], [75, 0.432], + [76, 0.389], [77, 0.389], [78, 0.405], [79, 0.446], + [80, 0.597], [81, 0.944], [82, 0.542], [83, 0.583], + [84, 0.653], [85, 0.67], [86, 0.629], [87, 0.573], + [88, 0.494], [89, 0.194], [90, 0.194], [91, 0.377], + [92, 0.481], [93, 0.294], [94, 0.504], [95, 0.683], + [96, 0.868], [97, 0.9], [98, 0.932], [99, 0.965], + [100, 0.951], [101, 0.913], [102, 0.871], [103, 0.789], + [104, 0.831], [105, 0.902], [106, 0.932], [107, 0.97], + [108, 0.724], [109, 0.821], [110, 0.909], [111, 0.942], + [112, 0.978], [113, 0.716], [114, 0.811], [115, 0.915], + [116, 0.952], [117, 0.985], [118, 0.708], [119, 0.972], + [120, 0.844], [121, 0.931], [122, 0.973], [123, 0.997], + [124, 0.758], [125, 0.986], [126, 0.905], [127, 0.957], + [128, 0.985], [129, 0.998], [130, 0.854], [131, 0.986], + [132, 0.905], [133, 0.957], [134, 0.985], [135, 0.998], + [136, 0.854], [137, 0.738], [138, 0.682], [139, 0.68], + [140, 0.706], [141, 0.736], [142, 0.841], [143, 0.972], + [144, 0.658], [145, 0.728], [146, 0.796], [147, 0.815], + [148, 0.733], [149, 0.653], [150, 0.701], [151, 0.171], + [152, 0.12], [153, 0.428], [154, 0.569], [155, 0.261], + [156, 0.462], [157, 0.6], [158, 0.879], [159, 0.838], + [160, 0.795], [161, 0.372], [162, 0.837], [163, 0.904], + [164, 0.904], [165, 0.589], [166, 0.577], [167, 0.66], + [168, 0.811], [169, 0.811], [170, 0.217], [171, 0.133], + [172, 0.491], [173, 0.703], [174, 0.268], [175, 0.443], + [176, 0.264], [177, 0.146], [178, 0.554], [179, 0.746], + [180, 0.274], [181, 0.424], [182, 0.849], [183, 0.733], + [184, 0.282], [185, 0.877], [186, 0.808], [187, 0.722], + [188, 0.962], [189, 0.948], [190, 0.916], [191, 0.721], + [192, 0.502], [193, 0.939], [194, 0.883], [195, 0.791], + [196, 0.926], [197, 0.371], [198, 0.469], [199, 0.657], + [200, 0.768], [201, 0.768], [202, 0.387], [203, 0.303], + [204, 0.289], [205, 0.251], [206, 0.581], [207, 0.748], + [208, 0.459], [209, 0.552], [210, 0.948], [211, 0.942], + [212, 0.919], [213, 0.568], [214, 0.925], [215, 0.943], + [216, 0.903], [217, 0.826], [218, 0.852], [219, 0.467], + [220, 0.767], [221, 0.767], [222, 0.359], [223, 0.369], + [224, 0.613], [225, 0.769], [226, 0.993], [227, 0.731], + [228, 0.731], [229, 0.419], [230, 0.496], [231, 0.646], + [232, 0.789], [233, 0.561], [234, 0.772], [235, 0.772], + [236, 0.651], [237, 0.807], [238, 0.807], [239, 0.896], + [240, 0.914], [241, 0.95], [242, 0.975], [243, 0.807], + [244, 0.882], [245, 0.882], [246, 0.974], [247, 0.978], + [248, 0.987], [249, 0.993], [250, 0.944], [251, 0.963], + [252, 0.963], [253, 0.921], [254, 0.931], [255, 0.925], + [256, 0.919], [257, 0.898], [258, 0.847], [259, 0.748], + [260, 0.944], [261, 0.946], [262, 0.932], [263, 0.943], + [264, 0.997], [265, 0.993], [266, 0.987], [267, 0.988], + [268, 0.964], [269, 0.874], [270, 0.641], [271, 0.998], + [272, 0.997], [273, 0.998], [274, 0.117], [275, 0.155], + [276, 0.132], [277, 0.148], [278, 0.179], [279, 0.27], + [280, 0.071], [281, 0.216], [282, 0.068], [283, 0.214], + [284, 0.1], [285, 0.282], [286, 0.103], [287, 0.02], + [288, 0.116], [289, 0.483], [290, 0.62], [291, 0.62], + [292, 0.277], [293, 0.497], [294, 0.497], [295, 0.324], + [296, 0.65], [297, 0.65], [298, 0.37], [299, 0.512], + [300, 0.346], [301, 0.718], [302, 0.718], [303, 0.537], + [304, 0.786], [305, 0.707], [306, 0.633], [307, 0.633], + [308, 0.534], [309, 0.713], [310, 0.824], [311, 0.77], + [312, 0.764], [313, 0.438], [314, 0.483], [315, 0.722], + [316, 0.687], [317, 0.686], [318, 0.073], [319, 0.054], + [320, 0.058], [321, 0.007], [322, 0.014], [323, 0.037], + [324, 0.025], [325, 0.034], [326, 0.053], [327, 0.09], + [328, 0.37], [329, 0.471], [330, 0.289], [331, 0.171], + [332, 0.109], [333, 0.197], [334, 0.082], [335, 0.043], + [336, 0.068], [337, 0.104], [338, 0.062], [339, 0.065], + [340, 0.092], [341, 0.513], [342, 0.494], [343, 0.576], + [344, 0.038], [345, 0.004], [346, 0.022], [347, 0.023], + [348, 0.045], [349, 0.117], [350, 0.125], [351, 0.116], + [352, 0.128], [353, 0.058], [354, 0.05], [358, 0.125], + [359, 0.261], [360, 0.224], [361, 0.079], [363, 0.098], + [364, 0.023], [365, 0.011], [366, 0.006], [367, 0.033], + [368, 0.094], [369, 0.08], [370, 0.089], [371, 0.089], + [372, 0.189], [373, 0.09], [374, 0.154], [375, 0.103], + [376, 0.194], [377, 0.153], [378, 0.114], [379, 0.115], + [380, 0.113], [381, 0.02], [383, 0.018], [384, 0.013], + [385, 0.019], [386, 0.014], [388, 0.122], [389, 0.09], + [390, 0.012], [391, 0.026], [394, 0.041], [397, 0.064], + [399, 0.116], [400, 0.124], [401, 0.124], [402, 0.024], + [403, 0.037], [404, 0.063], [405, 0.067], [406, 0.071], + [407, 0.03], [408, 0.048], [410, 0.073], [411, 0.066], + [412, 0.003], [413, 0.006], [422, 0.006], [423, 0.016], + [426, 0.005], [429, 0.002], [432, 0.003], [435, 0.003], + [437, 0.015], [438, 0.011], [439, 0.021], [440, 0.041], + [441, 0.038], [442, 0.02], [443, 0.009], [444, 0.011], + [445, 0.016], [446, 0.021], [447, 0.012], [472, 0.005], + [473, 0.012], [474, 0.012], [475, 0.019], [476, 0.012], + [477, 0.023], [478, 0.043], [479, 0.111], [480, 0.067], + [481, 0.022], [482, 0.012], [483, 0.02], [484, 0.038], + [485, 0.086], [486, 0.049], [487, 0.021], [488, 0.008], + [489, 0.01], [490, 0.023], [491, 0.086], [492, 0.049], + [493, 0.021], [494, 0.008], [495, 0.01], [496, 0.023], + [501, 0.003], [502, 0.013], [503, 0.012], [510, 0.014], + [511, 0.011], [512, 0.006], [513, 0.006], [517, 0.045], + [518, 0.029], [519, 0.026], [520, 0.006], [521, 0.006], + [522, 0.002], [523, 0.045], [527, 0.002], [529, 0.014], + [530, 0.021], [534, 0.047], [535, 0.032], [536, 0.028], + [537, 0.003], [538, 0.003], [539, 0.001], [540, 0.047], + [541, 0.089], [542, 0.09], [543, 0.031], [544, 0.025], + [545, 0.068], [546, 0.04], [547, 0.06], [548, 0.079], + [549, 0.079], [550, 0.086], [551, 0.117], [552, 0.105], + [553, 0.08], [554, 0.049], [555, 0.049], [556, 0.056], + [557, 0.117], [558, 0.177], [559, 0.179], [560, 0.06], + [561, 0.049], [562, 0.135], [563, 0.065], [564, 0.087], + [565, 0.15], [566, 0.158], [567, 0.169], [568, 0.138], + [569, 0.133], [570, 0.109], [571, 0.097], [572, 0.097], + [573, 0.111], [574, 0.125], [575, 0.352], [576, 0.355], + [577, 0.118], [578, 0.087], [579, 0.269], [580, 0.087], + [581, 0.111], [582, 0.284], [583, 0.316], [584, 0.337], + [585, 0.165], [586, 0.163], [587, 0.136], [588, 0.191], + [589, 0.191], [590, 0.221], [591, 0.165], [592, 0.606], + [593, 0.618], [594, 0.231], [595, 0.145], [596, 0.519], + [597, 0.071], [598, 0.067], [599, 0.597], [600, 0.584], + [601, 0.601], [602, 0.132], [603, 0.125], [604, 0.091], + [605, 0.571], [606, 0.573], [607, 0.581], [608, 0.132], + [609, 0.8], [610, 0.807], [611, 0.519], [612, 0.396], + [613, 0.743], [614, 0.168], [615, 0.06], [616, 0.789], + [617, 0.786], [618, 0.801], [619, 0.071], [620, 0.065], + [621, 0.055], [622, 0.784], [623, 0.785], [624, 0.787], + [625, 0.071], [626, 0.9], [627, 0.904], [628, 0.76], + [629, 0.698], [630, 0.871], [631, 0.584], [632, 0.53], + [633, 0.895], [634, 0.893], [635, 0.9], [636, 0.195], + [637, 0.28], [638, 0.392], [639, 0.891], [640, 0.892], + [641, 0.894], [642, 0.194], [643, 0.95], [644, 0.952], + [645, 0.88], [646, 0.849], [647, 0.936], [648, 0.792], + [649, 0.765], [650, 0.947], [651, 0.946], [652, 0.95], + [653, 0.581], [654, 0.627], [655, 0.692], [656, 0.946], + [657, 0.946], [658, 0.947], [659, 0.581], [660, 1.0], + [661, 1.0], [662, 1.0], [663, 1.0], [664, 1.0], + [665, 1.0], [666, 1.0], [667, 1.0], [668, 1.0], + [669, 1.0], [670, 0.971], [671, 0.98], [672, 0.991], + [673, 1.0], [674, 1.0], [675, 1.0], [676, 0.971], + [677, 1.0], [678, 1.0], [679, 1.0], [680, 1.0], + [681, 1.0], [682, 1.0], [683, 1.0], [684, 1.0], + [685, 1.0], [686, 1.0], [687, 1.0], [688, 1.0], + [689, 1.0], [690, 1.0], [691, 1.0], [692, 1.0], + [693, 1.0], [694, 1.0], [695, 1.0], [696, 1.0], + [697, 1.0], [698, 1.0], [699, 1.0], [700, 1.0], + [701, 1.0], [702, 1.0], [703, 1.0], [704, 1.0], + [705, 1.0], [706, 1.0], [707, 1.0], [708, 1.0], + [709, 1.0], [710, 1.0], [711, 0.164], [712, 0.131], + [713, 0.715], [714, 0.66], [715, 0.829], [716, 0.913], + [717, 0.984], [718, 0.971], [719, 0.976], [720, 0.959], + [721, 0.136], [722, 0.117], [723, 0.097], [724, 0.097], + [725, 0.122], [726, 0.09], [727, 0.085], [728, 0.127], + [729, 0.111], [730, 0.133], [731, 0.136], [732, 0.1], + [733, 0.136], [734, 0.113], [735, 0.155], [736, 0.207], + [737, 0.08], [738, 0.753], [739, 0.507], [740, 0.393], + [741, 0.265], [742, 0.225], [743, 0.119], [744, 0.067], + [745, 0.465], [746, 0.071], [747, 0.09], [748, 0.464], + [749, 0.351], [750, 0.351], [751, 0.237], [752, 0.237], + [753, 0.151], [754, 0.151], [755, 0.089], [756, 0.089], + [757, 0.039], [758, 0.039], [759, 0.016], [760, 0.016], + [761, 0.37], [762, 0.432], [763, 0.28], [764, 0.326], + [765, 0.189], [766, 0.22], [767, 0.12], [768, 0.14], + [769, 0.07], [770, 0.082], [771, 0.031], [772, 0.036], + [773, 0.012], [774, 0.014], [775, 0.298], [776, 0.097], + [777, 0.057], [778, 0.025], [779, 0.01], [780, 0.067], + [781, 0.211], [782, 0.219], [783, 0.211], [784, 0.244], + [785, 0.161], [786, 0.165], [787, 0.161], [788, 0.184], + [789, 0.111], [790, 0.112], [791, 0.111], [792, 0.124], + [793, 0.072], [794, 0.066], [795, 0.071], [796, 0.007], + [797, 0.072], [798, 0.079], [799, 0.042], [800, 0.039], + [801, 0.042], [802, 0.017], [803, 0.042], [804, 0.047], + [805, 0.019], [806, 0.017], [807, 0.018], [808, 0.038], + [809, 0.019], [810, 0.021], [811, 0.007], [812, 0.007], + [813, 0.007], [814, 0.065], [815, 0.007], [816, 0.008], + [817, 0.38], [818, 0.256], [819, 0.163], [820, 0.095], + [821, 0.042], [822, 0.017], [823, 0.354], [824, 0.239], + [825, 0.152], [826, 0.089], [827, 0.039], [828, 0.016], + [829, 0.282], [830, 0.191], [831, 0.121], [832, 0.071], + [833, 0.031], [834, 0.013], [835, 0.247], [836, 0.166], + [837, 0.106], [838, 0.062], [839, 0.027], [840, 0.011], + [841, 0.247], [842, 0.166], [843, 0.106], [844, 0.062], + [845, 0.027], [846, 0.011], [847, 0.248], [848, 0.167], + [849, 0.106], [850, 0.062], [851, 0.027], [852, 0.011], + [853, 0.262], [854, 0.177], [855, 0.112], [856, 0.066], + [857, 0.029], [858, 0.012], [859, 0.961], [860, 1.0], + [861, 1.0], [862, 1.0], [863, 1.0], [864, 1.0], + [865, 1.0], [866, 0.935], [867, 0.974], [868, 0.946], + [869, 0.809], [870, 0.992], [871, 0.999], [872, 1.0], + [873, 1.0], [874, 1.0], [875, 0.992], [876, 0.992], + [877, 1.0], [878, 1.0], [879, 1.0], [880, 1.0], + [881, 1.0], [882, 1.0], [883, 1.0], [884, 0.883], + [885, 0.504], [886, 0.536], [887, 0.374], [888, 0.346], + [889, 0.346], [890, 0.34], [891, 0.092], [892, 0.149], + [893, 0.175], [894, 0.317], [895, 0.409], [896, 0.47], + [897, 0.076], [898, 0.076], [899, 0.519], [900, 0.287], + [901, 0.771], [902, 0.646], [903, 0.812], [904, 0.814], + [905, 0.784], [906, 0.885], [907, 0.706], [908, 0.763], + [909, 0.994], [910, 0.405], [911, 0.711], [912, 0.53], + [913, 0.056], [914, 0.071], [915, 0.084], [916, 0.058], + [917, 0.072], [918, 0.097], [919, 0.1], [920, 0.045], + [921, 0.061], [922, 0.046], [923, 0.204], [924, 0.154], + [925, 0.152], [926, 0.202], [927, 0.285], [928, 0.1], + [929, 0.059], [930, 0.026], [931, 0.01], [932, 0.941], + [933, 0.848], [934, 0.364], [935, 0.924], [936, 0.921], + [937, 0.892], [938, 0.842], [939, 0.854], [940, 0.848], + [941, 0.823], [942, 0.928], [943, 0.909], [944, 0.893], + [945, 0.912], [946, 0.917], [947, 0.91], [948, 0.878], + [949, 0.972], [950, 0.928], [951, 0.959], [952, 0.973], + [953, 0.969], [954, 0.972], [955, 0.975], [956, 0.984], + [957, 0.987], [958, 1.0], [959, 1.0], [960, 1.0], + [961, 1.0], [962, 1.0], [963, 1.0], [964, 1.0], + [965, 1.0], [966, 1.0], [967, 1.0], [968, 1.0], + [969, 1.0], [970, 1.0], [971, 1.0], [972, 1.0], + [973, 0.997], [974, 1.0], [975, 1.0], [976, 0.993], + [977, 1.0], [978, 1.0], [979, 1.0], [980, 0.987], + [981, 0.989], [982, 0.985], [983, 0.991], [984, 0.991], + [985, 1.0], [986, 1.0], [987, 1.0], [988, 1.0], + [989, 0.131], [990, 0.135], [991, 0.131], [992, 0.667], + [993, 0.119], [994, 0.111], [995, 0.175], [996, 0.582], + [997, 0.592], [998, 0.489], [999, 0.285], [1000, 0.256], + [1001, 0.394], [1002, 0.649], [1003, 0.896], [1004, 0.917], + [1005, 0.942], [1006, 0.982], [1007, 1.0], [1008, 1.0], + [1009, 1.0], [1010, 1.0], [1011, 1.0], [1012, 1.0], + [1013, 1.0], [1014, 0.995], [1015, 0.995], [1016, 1.0], + [1017, 0.012], [1018, 0.262], [1019, 0.177], [1020, 1.0], + [1021, 1.0], [1022, 1.0], [1023, 0.364], [1024, 1.0], + [1025, 1.0], [1026, 0.975], [1027, 0.881], [1028, 0.823], + [1029, 1.0], [1030, 0.066], [1031, 0.112], [1032, 0.029], + [1033, 0.225], [1034, 0.219], [1035, 0.153], [1036, 0.153], + [1037, 0.104], [1038, 0.103], [1039, 0.263], [1040, 0.029], + [1041, 1.0], [1042, 0.359], [1043, 0.837], [1044, 0.113], + [1045, 0.012], [1046, 1.0], [1047, 0.965], [1048, 0.899], + [1049, 1.0], [1050, 1.0], [1051, 0.066], [1052, 1.0], + [1053, 0.177], [1054, 1.0], [1055, 0.486], [1056, 0.476], + [1057, 0.477], [1058, 0.543], [1059, 0.657], [1060, 0.732], + [1061, 0.767], [1062, 0.779], [1063, 0.746], [1064, 0.759], + [1065, 0.639], [1066, 0.608], [1067, 0.585], [1068, 0.59], + [1069, 0.618], [1070, 0.646], [1071, 0.688], [1072, 0.843], + [1073, 0.539], [1074, 0.648], [1075, 0.885], [1076, 0.973], + [1077, 0.986], [1078, 0.966], [1079, 0.921], [1080, 0.926], + [1081, 0.528], [1082, 0.465], [1083, 0.493], [1084, 0.6], + [1085, 0.663], [1086, 0.878], [1087, 0.901], [1088, 1.0], + [1089, 1.0], [1090, 0.902], [1091, 0.833], [1092, 0.84], + [1093, 0.831], [1094, 1.0], [1095, 0.842], [1096, 0.856], + [1097, 1.0], [1098, 0.925], [1099, 0.512], [1100, 0.456], + [1101, 0.951], [1102, 0.972], [1103, 0.979], [1104, 0.965], + [1105, 0.947], [1106, 0.943], [1107, 1.0], [1108, 1.0], + [1109, 1.0], [1110, 1.0], [1111, 0.976], [1112, 1.0], + [1113, 1.0], [1114, 0.978], [1115, 1.0], [1116, 1.0], + [1117, 1.0], [1118, 1.0], [1119, 1.0], [1120, 1.0], + [1121, 0.995], [1122, 1.0], [1123, 1.0], [1124, 0.975], + [1125, 0.979], [1126, 1.0], [1127, 1.0], [1128, 0.976], + [1129, 0.969], [1130, 0.96], [1131, 0.954], [1132, 0.939], + [1133, 0.993], [1134, 0.988], [1135, 1.0], [1136, 1.0], + [1137, 1.0], [1138, 1.0], [1139, 1.0], [1140, 1.0], + [1141, 0.999], [1142, 1.0], [1143, 1.0], [1144, 0.989], + [1145, 0.977], [1146, 1.0], [1147, 1.0], [1148, 1.0], + [1149, 1.0], [1150, 1.0], [1151, 0.965], [1152, 0.978], + [1153, 0.977], [1154, 0.989], [1155, 0.993], [1156, 0.973], + [1157, 0.998], [1158, 0.975], [1159, 1.0], [1160, 1.0], + [1161, 1.0], [1162, 1.0], [1163, 1.0], [1164, 1.0], + [1165, 1.0], [1166, 1.0], [1167, 1.0], [1168, 1.0], + [1169, 1.0], [1170, 1.0], [1171, 1.0], [1172, 1.0], + [1173, 1.0], [1174, 1.0], [1175, 1.0], [1176, 1.0], + [1177, 1.0], [1178, 1.0], [1179, 1.0], [1180, 1.0], + [1181, 1.0], [1182, 1.0], [1183, 1.0], [1184, 1.0], + [1185, 1.0], [1186, 1.0], [1187, 1.0], [1188, 1.0], + [1189, 1.0], [1190, 1.0], [1191, 1.0], [1192, 1.0], + [1193, 1.0], [1194, 1.0], [1195, 1.0], [1196, 1.0], + [1197, 1.0], [1198, 1.0], [1199, 1.0], [1200, 1.0], + [1201, 1.0], [1202, 1.0], [1203, 0.988], [1204, 0.994], + [1205, 0.997], [1206, 1.0], [1207, 1.0], [1208, 1.0], + [1209, 1.0], [1210, 1.0], [1211, 1.0], [1212, 1.0], + [1213, 1.0], [1214, 0.998], [1215, 1.0], [1216, 1.0], + [1217, 1.0], [1218, 1.0], [1219, 1.0], [1220, 1.0], + [1221, 1.0], [1222, 1.0], [1223, 1.0], [1224, 1.0], + [1225, 1.0], [1226, 1.0], [1227, 1.0], [1228, 1.0], + [1229, 0.997], [1230, 0.994], [1231, 1.0], [1232, 1.0], + [1233, 1.0], [1234, 1.0], [1235, 1.0], [1236, 1.0], + [1237, 1.0], [1238, 1.0], [1239, 1.0], [1240, 1.0], + [1241, 1.0], [1242, 1.0], [1243, 1.0], [1244, 1.0], + [1245, 0.991], [1246, 1.0], [1247, 1.0], [1248, 1.0], + [1249, 1.0], [1250, 1.0], [1251, 1.0], [1252, 1.0], + [1253, 1.0], [1254, 1.0], [1255, 1.0], [1256, 1.0], + [1257, 1.0], [1258, 1.0], [1259, 1.0], [1260, 1.0], + [1261, 1.0], [1262, 1.0], [1263, 1.0], [1264, 1.0], + [1265, 1.0], [1266, 1.0], [1267, 1.0], [1268, 1.0], + [1269, 1.0], [1270, 1.0], [1271, 1.0], [1272, 1.0], + [1273, 1.0], [1274, 1.0], [1275, 1.0], [1276, 1.0], + [1277, 1.0], [1278, 1.0], [1279, 1.0], [1280, 1.0], + [1281, 1.0], [1282, 1.0], [1283, 1.0], [1284, 1.0], + [1285, 1.0], [1286, 1.0], [1287, 1.0], [1288, 1.0], + [1289, 1.0], [1290, 1.0], [1291, 1.0], [1292, 1.0], + [1293, 1.0], [1294, 1.0], [1295, 1.0], [1296, 1.0], + [1297, 1.0], [1298, 1.0], [1299, 1.0], [1300, 1.0], + [1301, 1.0], [1302, 1.0], [1303, 1.0], [1304, 1.0], + [1305, 1.0], [1306, 1.0], [1307, 1.0], [1308, 1.0], + [1309, 1.0], [1310, 1.0], [1311, 1.0], [1312, 1.0], + [1313, 1.0], [1314, 1.0], [1315, 1.0], [1316, 1.0], + [1317, 1.0], [1318, 1.0], [1319, 1.0], [1320, 1.0], + [1321, 1.0], [1322, 1.0], [1323, 1.0], [1324, 1.0], + [1325, 1.0], [1326, 1.0], [1327, 1.0], [1328, 1.0], + [1329, 1.0], [1330, 1.0], [1331, 1.0], [1332, 1.0], + [1333, 1.0], [1334, 1.0], [1335, 1.0], [1336, 1.0], + [1337, 0.993], [1338, 1.0], [1339, 1.0], [1340, 1.0], + [1341, 1.0], [1342, 1.0], [1343, 1.0], [1344, 1.0], + [1345, 1.0], [1346, 1.0], [1347, 1.0], [1348, 1.0], + [1349, 1.0], [1350, 1.0], [1351, 1.0], [1352, 1.0], + [1353, 1.0], [1354, 1.0], [1396, 0.001], [1397, 0.002], + [1463, 0.005], [1464, 0.006], [1465, 0.002], [1466, 0.001], + [1467, 0.001], [1468, 0.001], [1469, 0.001], [1470, 0.001], + [1478, 0.002], [1479, 0.002], [1480, 0.002], [1481, 0.002], + [1482, 0.002], [1483, 0.004], [1484, 0.004], [1485, 0.004], + [1486, 0.004], [1487, 0.003], [1488, 0.003], [1489, 0.003], + [1490, 0.003], [1491, 0.003], [1492, 0.003], [1493, 0.003], + [1494, 0.006], [1495, 0.006], [1496, 0.006], [1497, 0.005], + [1498, 0.005], [1499, 0.005], [1500, 0.006], [1501, 0.008], + [1503, 0.008], [1504, 0.008], [1505, 0.008], [1512, 0.007], + [1518, 0.002], [1519, 0.003], [1520, 0.004], [1521, 0.004], + [1544, 0.001], [1545, 0.001], [1546, 0.001], [1547, 0.001], + [3688, 0.009], [3689, 0.023], [3690, 0.052], [3691, 0.088], + [3692, 0.137], [3693, 0.201], [3694, 0.264], [3695, 0.215], + [3696, 0.172], [3697, 0.12], [3698, 0.078], [3699, 0.103], + [3700, 0.121], [3701, 0.117], [3702, 0.05], [3703, 0.027], + [3704, 0.012], [3705, 0.008], [3706, 0.006], [3707, 0.007], + [3708, 0.01], [3709, 0.008], [3710, 0.032], [3711, 0.057], + [3712, 0.087], [3713, 0.107], [3714, 0.282], [3715, 0.641], + [3716, 0.821], [3717, 1.0], [3718, 1.0], [3719, 1.0], + [3720, 1.0], [3721, 1.0], [3722, 1.0], [3723, 0.908], + [3724, 0.817], [3725, 0.632], [3726, 0.376], [3727, 0.194], + [3728, 0.098], [3729, 0.049], [3736, 0.003], [3737, 0.027], + [3738, 0.115], [3739, 0.153], [3740, 0.962], [3741, 0.975], + [3742, 0.968], [3743, 0.948], [3744, 0.865], [3745, 0.734], + [3746, 0.565], [3747, 0.63], [3748, 0.744], [3749, 0.85], + [3750, 0.85], [4847, 0.1], [4848, 0.076], [4849, 0.093], + [4850, 0.154], [4851, 0.33], [4852, 0.407], [4853, 0.476], + [4854, 0.5], [4855, 0.395], [4856, 0.359], [4857, 0.219], + [4858, 0.076], [4859, 0.025], [4860, 0.035], [4861, 0.086], + [4862, 0.166], [4863, 0.276], [4864, 0.706], [4865, 0.179], + [4866, 0.431], [4867, 0.775], [4868, 0.975], [4869, 0.982], + [4870, 0.975], [4871, 0.873], [4872, 0.939], [4873, 0.956], + [4874, 0.507], [4875, 0.733], [4876, 0.303], [4877, 0.442], + [4878, 0.499], [4879, 0.567], [4880, 0.566], [4881, 0.54], + [4882, 0.362], [4883, 0.508], [4884, 0.224], [4885, 0.222], + [4886, 0.24], [4887, 0.293], [4888, 0.895], [4889, 0.493], + [4890, 0.256], [4891, 0.851], [4892, 0.932], [4893, 0.904], + [4894, 0.899], [4895, 0.275], [4896, 0.171], [4897, 0.198], + [4898, 0.425], [5049, 0.288], [5050, 0.139], [5051, 0.128], + [5052, 0.621], [5053, 0.306], [5054, 0.621], [5055, 0.067], + [5056, 0.099], [5057, 0.052], [5058, 0.493], [5059, 0.433], + [5060, 0.48], [5061, 0.792], [5062, 0.972], [5063, 0.972], + [5064, 0.946], [5065, 0.297], [5066, 0.377], [5067, 0.241], + [5068, 0.207], [5069, 0.161], [5070, 0.336], [5071, 0.247], + [5072, 0.256], [5073, 0.129], [5074, 0.257], [5075, 0.232], + [5076, 0.333], [5077, 0.306], [5078, 0.274], [5079, 0.563], + [5080, 0.453], [5081, 0.628], [5082, 0.844], [5083, 0.489], + [5084, 0.936], [5085, 0.618], [5086, 0.93], [5087, 0.857], + [5088, 0.378], [5089, 0.851], [5090, 0.988], [5091, 0.805], + [5092, 0.804], [5093, 0.203], [5094, 0.057], [5095, 0.029], + [5096, 0.045], [5097, 0.955], [5098, 0.879], [5099, 0.738], + [5100, 0.97], [5101, 0.688], [5102, 0.768], [5103, 0.863], + [5104, 0.904], [5105, 1.0], [5106, 0.996], [5107, 1.0], + [5108, 1.0], [5109, 1.0], [5110, 1.0], [5111, 1.0], + [5112, 1.0], [5113, 1.0], [5114, 1.0], [5115, 1.0], + [5116, 1.0], [5117, 1.0], [5118, 1.0], [5119, 1.0], + [5120, 1.0], [5121, 1.0], [5122, 1.0], [5123, 1.0], + [5124, 1.0], [5125, 0.992], [5126, 1.0], [5127, 0.257], + [5128, 0.526], [5129, 0.411], [5130, 0.765], [5131, 0.037], + [5132, 0.962], [5133, 0.379], [5134, 0.519], [5135, 0.182], + [5136, 0.207], [5137, 0.166], [5138, 0.24], [5139, 0.189], + [5140, 0.237], [5141, 0.248], [5142, 0.119], [5143, 0.157], + [5144, 0.19], [5145, 0.214], [5146, 0.26], [5147, 0.292], + [5148, 0.219], [5149, 0.267], [5150, 0.191], [5151, 0.234], + [5152, 0.288], [5153, 0.201], [5154, 0.257], [5155, 0.229], + [5156, 0.176], [5157, 0.139], [5158, 0.126], [5159, 0.102], + [5160, 0.076], [5161, 0.062], [5162, 0.139], [5163, 0.097], + [5164, 0.133], [5165, 0.112], [5166, 0.103], [5167, 0.112], + [5168, 0.123], [5169, 0.127], [5170, 0.121], [5171, 0.123], + [5172, 0.115], [5173, 0.178], [5174, 0.142], [5175, 0.505], + [5176, 0.42], [5177, 0.413], [5178, 0.692], [5179, 0.638], + [5180, 0.651], [5181, 0.805], [5182, 0.794], [5183, 0.803], + [5184, 0.885], [5185, 0.885], [5186, 0.888], [5187, 0.925], + [5188, 0.937], [5189, 0.948], [5190, 0.791], [5191, 0.95], + [5192, 0.929], [5193, 0.929], [5194, 0.893], [5195, 0.98], + [5196, 0.827], [5197, 0.906], [5198, 0.991], [5199, 0.986], + [5200, 0.975], [5201, 0.881], [5202, 0.957], [5203, 0.803], + [5204, 0.646], [5205, 0.409], [5206, 0.232], [5207, 0.161], + [5208, 0.178], [5209, 0.817], [5210, 0.116], [5211, 0.126], + [5212, 0.132], [5213, 0.109], [5214, 0.126], [5215, 0.123], + [5216, 0.115], [5217, 0.098], [5218, 0.207], [5219, 0.733], + [5220, 0.114], [5221, 0.109], [5222, 0.094], [5223, 0.098], + [5224, 0.12], [5225, 0.114], [5226, 0.136], [5227, 0.151], + [5228, 0.166], [5229, 0.975], [5230, 0.987], [5231, 0.948], + [5232, 0.957], [5233, 0.997], [5234, 0.993], [5235, 0.91], + [5236, 0.968], [5237, 0.994], [5238, 0.685], [5239, 0.998], + [5240, 0.102], [5241, 0.225], [5242, 0.458], [5243, 0.981], + [5244, 0.981], [5245, 0.971], [5246, 0.847], [5247, 0.983], + [5248, 0.907], [5249, 0.761], [5250, 0.418], [5251, 0.429], + [5252, 0.437], [5253, 0.61], [5254, 0.566], [5255, 0.77], + [5256, 0.704], [5257, 0.879], [5258, 0.235], [5259, 0.677], + [5260, 0.807], [5261, 0.938], [5262, 0.956], [5263, 0.961], + [5264, 0.953], [5265, 0.681], [5266, 0.618], [5267, 0.618], + [5268, 0.61], [5269, 0.58], [5270, 0.565], [5271, 0.585], + [5272, 0.598], [5273, 0.773], [5274, 0.83], [5275, 0.881], + [5276, 0.834], [5277, 0.738], [5278, 0.466], [5279, 0.446], + [5280, 0.445], [5281, 0.433], [5282, 0.455], [5283, 0.466], + [5284, 0.466], [5285, 0.637], [5286, 0.223], [5287, 0.213], + [5288, 0.216], [5289, 0.191], [5290, 0.179], [5291, 0.106], + [5292, 0.107], [5293, 0.088], [5294, 0.087], [5295, 0.104], + [5296, 0.106], [5297, 0.119], [5298, 0.134], [5299, 0.141], + [5300, 0.165], [5301, 0.188], [5302, 0.206], [5303, 0.899], + [5304, 0.254], [5305, 0.342], [5306, 0.973], [5307, 0.988], + [5308, 1.0], [5309, 1.0], [5310, 1.0], [5311, 1.0], + [5312, 1.0], [5313, 1.0], [5314, 1.0], [5315, 1.0], + [5316, 1.0], [5317, 1.0], [5318, 0.545], [5319, 0.818], + [5320, 0.818], [5321, 0.278], [5322, 0.237], [5323, 0.259], + [5324, 0.337], [5325, 0.446], [5326, 0.635], [5327, 0.791], + [5328, 0.883], [5329, 0.93], [5330, 0.226], [5331, 0.2], + [5332, 0.224], [5333, 0.22], [5335, 0.081], [5336, 0.053], + [5337, 0.053], [5338, 0.085], [5339, 0.088], [5340, 0.095], + [5341, 0.148], [5347, 0.566], [5348, 0.292], [5349, 0.146], + [5350, 0.073], [5351, 0.024], [5354, 0.049], [5355, 1.0], + [5356, 0.944], [5357, 0.889], [5358, 0.777], [5363, 0.145], + [5364, 0.061], [5365, 1.0], [5366, 1.0], [5367, 1.0], + [5368, 1.0], [5369, 1.0], [5370, 1.0], [5371, 1.0], + [5372, 1.0], [5373, 1.0], [5374, 1.0], [5375, 1.0], + [5376, 0.993], [5377, 1.0], [5378, 1.0], [5379, 1.0], + [5380, 1.0], [5381, 1.0], [5382, 1.0], [5383, 0.993], + [5384, 0.967], [5385, 0.979], [5386, 1.0], [5387, 1.0], + [5388, 0.944], [5389, 1.0], [5390, 1.0], [5391, 0.971], + [5392, 1.0], [5393, 1.0], [5394, 0.999], [5395, 1.0], + [5396, 1.0], [5397, 1.0], [5398, 1.0], [5399, 1.0], + [5400, 1.0], [5401, 1.0], [5402, 0.99], [5403, 1.0], + [5404, 1.0], [5405, 1.0], [5406, 0.918], [5407, 0.954], + [5408, 0.984], [5409, 0.975], [5410, 0.965], [5411, 0.977], + [5412, 0.955], [5413, 0.985], [5414, 0.97], [5415, 0.984], + [5416, 0.987], [5417, 1.0], [5418, 1.0], [5419, 1.0], + [5420, 0.968], [5421, 0.967], [5422, 1.0], [5423, 1.0], + [5424, 0.973], [5425, 0.986], [5426, 0.981], [5427, 0.977], + [5428, 0.957], [5429, 0.889], [5430, 0.976], [5431, 1.0], + [5432, 0.969], [5433, 0.962], [5434, 0.961], [5435, 0.987], + [5436, 0.983], [5437, 0.99], [5438, 0.993], [5439, 1.0], + [5440, 1.0], [5441, 1.0], [5442, 0.978], [5443, 0.974], + [5444, 1.0], [5445, 1.0], [5446, 0.971], [5447, 0.987], + [5448, 0.984], [5449, 0.977], [5450, 0.965], [5451, 0.971], + [5452, 1.0], [5453, 0.995], [5454, 0.989], [5455, 0.963], + [5456, 0.968], [5457, 1.0], [5458, 0.982], [5459, 1.0], + [5460, 1.0], [5461, 1.0], [5462, 1.0], [5463, 1.0], + [5464, 0.994], [5465, 0.979], [5466, 1.0], [5467, 1.0], + [5468, 0.967], [5469, 0.991], [5470, 0.984], [5471, 0.98], + [5472, 0.988], [5473, 0.987], [5474, 1.0], [5475, 0.999], + [5476, 0.993], [5477, 0.964], [5478, 0.982], [5479, 1.0], + [5480, 0.98], [5481, 1.0], [5482, 1.0], [5483, 1.0], + [5484, 1.0], [5485, 1.0], [5486, 0.991], [5487, 0.973], + [5488, 1.0], [5489, 1.0], [5490, 0.969], [5491, 0.991], + [5492, 0.988], [5493, 0.982], [5494, 0.999], [5495, 0.999], + [5496, 1.0], [5497, 1.0], [5498, 1.0], [5499, 0.97], + [5500, 0.977], [5501, 1.0], [5502, 0.981], [5503, 0.989], + [5504, 1.0], [5505, 1.0], [5506, 1.0], [5507, 1.0], + [5508, 0.992], [5509, 0.964], [5510, 1.0], [5511, 1.0], + [5512, 0.974], [5513, 0.986], [5514, 0.983], [5515, 0.979], + [5516, 1.0], [5517, 0.964], [5518, 1.0], [5519, 1.0], + [5520, 1.0], [5521, 0.974], [5522, 0.979], [5523, 0.996], + [5524, 0.998], [5525, 0.977], [5526, 0.977], [5527, 1.0], + [5528, 1.0], [5529, 1.0], [5530, 1.0], [5531, 1.0], + [5532, 0.98], [5533, 0.984], [5534, 0.986], [5535, 0.978], + [5536, 1.0], [5537, 1.0], [5538, 0.966], [5539, 0.991], + [5540, 1.0], [5541, 1.0], [5542, 1.0], [5543, 0.993], + [5544, 0.734], [5545, 0.734], [5546, 0.746], [5547, 0.744], + [5548, 1.0], [5549, 1.0], [5550, 0.741], [5551, 1.0], + [5552, 1.0], [5553, 0.724], [5554, 1.0], [5555, 1.0], + [5556, 1.0], [5557, 0.747], [5558, 0.869], [5559, 0.907], + [5560, 1.0], [5561, 0.854], [5562, 1.0], [5563, 1.0], + [5564, 1.0], [5565, 0.981], [5566, 0.978], [5567, 0.979], + [5568, 0.98], [5569, 1.0], [5570, 0.973], [5571, 1.0], + [5572, 0.978], [5573, 1.0], [5574, 0.978], [5575, 0.999], + [5576, 0.988], [5577, 0.982], [5578, 0.991], [5579, 0.979], + [5580, 1.0], [5581, 0.972], [5582, 0.979], [5583, 1.0], + [5584, 1.0], [5585, 0.986], [5586, 0.991], [5587, 0.965], + [5588, 1.0], [5589, 1.0], [5590, 1.0], [5591, 0.992], + [5592, 0.972], [5593, 0.981], [5594, 1.0], [5595, 1.0], + [5596, 1.0], [5597, 1.0], [5598, 1.0], [5599, 1.0], + [5600, 0.974], [5601, 1.0], [5602, 0.975], [5603, 1.0], + [5604, 1.0], [5605, 0.985], [5606, 0.983], [5607, 0.985], + [5608, 0.992], [5609, 0.999], [5610, 0.967], [5611, 1.0], + [5612, 0.987], [5613, 0.982], [5614, 1.0], [5615, 0.98], + [5616, 0.98], [5617, 0.998], [5618, 1.0], [5619, 1.0], + [5620, 1.0], [5621, 0.993], [5622, 1.0], [5623, 0.991], + [5624, 0.984], [5625, 1.0], [5626, 0.993], [5627, 0.983], + [5628, 1.0], [5629, 1.0], [5630, 1.0], [5631, 0.982], + [5632, 0.985], [5633, 1.0], [5634, 0.993], [5635, 1.0], + [5636, 1.0], [5637, 1.0], [5638, 0.976], [5639, 0.978], + [5640, 0.989], [5641, 1.0], [5642, 0.986], [5643, 0.991], + [5644, 1.0], [5645, 1.0], [5646, 0.991], [5647, 0.981], + [5648, 1.0], [5649, 0.988], [5650, 0.979], [5651, 0.99], + [5652, 0.986], [5653, 1.0], [5654, 0.993], [5655, 0.983], + [5656, 1.0], [5657, 0.997], [5658, 0.997], [5659, 1.0], + [5660, 1.0], [5661, 0.968], [5662, 0.987], [5663, 0.981], + [5664, 0.989], [5665, 0.988], [5666, 1.0], [5667, 0.996], + [5668, 1.0], [5669, 1.0], [5670, 0.986], [5671, 1.0], + [5672, 1.0], [5673, 0.984], [5674, 0.99], [5675, 0.983], + [5676, 0.983], [5677, 0.985], [5678, 0.988], [5679, 0.983], + [5680, 0.993], [5681, 0.995], [5682, 0.993], [5683, 0.996], + [5684, 1.0], [5685, 0.988], [5686, 0.991], [5687, 0.987], + [5688, 0.985], [5689, 0.988], [5690, 0.982], [5691, 0.992], + [5692, 0.985], [5693, 0.991], [5694, 1.0], [5695, 0.995], + [5696, 1.0], [5697, 0.998], [5698, 0.994], [5699, 0.971], + [5700, 1.0], [5701, 0.991], [5702, 1.0], [5703, 0.992], + [5704, 0.984], [5705, 1.0], [5706, 1.0], [5707, 1.0], + [5708, 1.0], [5709, 0.982], [5710, 1.0], [5711, 0.99], + [5712, 0.973], [5713, 1.0], [5714, 1.0], [5715, 0.97], + [5716, 1.0], [5717, 1.0], [5718, 0.993], [5719, 0.976], + [5720, 1.0], [5721, 0.974], [5722, 1.0], [5723, 0.955], + [5724, 0.992], [5725, 1.0], [5726, 0.969], [5727, 0.952], + [5728, 0.961], [5729, 1.0], [5730, 0.989], [5731, 0.959], + [5732, 0.954], [5733, 0.992], [5734, 0.971], [5735, 0.964], + [5736, 0.975], [5737, 0.987], [5738, 0.982], [5739, 0.978], + [5740, 0.991], [5741, 0.987], [5742, 0.992], [5743, 0.956], + [5744, 0.962], [5745, 0.976], [5746, 0.966], [5747, 1.0], + [5748, 1.0], [5749, 1.0], [5750, 0.952], [5751, 1.0], + [5752, 0.969], [5753, 0.974], [5754, 0.979], [5755, 0.984], + [5756, 1.0], [5757, 1.0], [5758, 1.0], [5759, 0.964], + [5760, 1.0], [5761, 0.939], [5762, 0.984], [5763, 0.971], + [5764, 0.997], [5765, 0.98], [5766, 1.0], [5767, 0.988], + [5768, 0.941], [5769, 0.978], [5770, 1.0], [6756, 0.276], + [6757, 0.276], [6758, 0.633], [6759, 0.463], [6760, 0.444], + [6761, 0.327], [6762, 0.264], [6763, 0.335], [6764, 0.907], + [6765, 0.739], [6766, 0.621], [6767, 0.851], [6768, 0.741], + [6769, 0.894], [6770, 0.369], [6771, 0.398], [6772, 0.34], + [6773, 0.571], [6774, 0.394], [6775, 0.573], [6776, 0.346], + [6777, 0.256], [6778, 0.285], [6779, 0.53], [6780, 0.495], + [6781, 0.523], [6782, 0.525], [6783, 0.42], [6784, 0.063], + [6785, 0.078], [6786, 0.112], [6787, 0.154], [6788, 0.148], + [6789, 0.202], [6790, 0.048], [6791, 0.144], [6792, 0.228], + [6793, 0.169], [6794, 0.173], [6795, 0.305], [6796, 0.381], + [6797, 0.344], [6798, 0.348], [6799, 0.412], [6800, 0.404], + [6801, 0.416], [6802, 0.463], [6803, 0.449], [6804, 0.481], + [6805, 0.493], [6806, 0.462], [6807, 0.463], [6808, 0.397], + [6809, 0.433], [6810, 0.451], [6811, 0.43], [6812, 0.37], + [6813, 0.442], [6814, 0.227], [6815, 0.226], [6816, 0.231], + [6817, 0.072], [6818, 0.063], [6819, 0.081], [6820, 0.019], + [6821, 0.038], [6822, 0.055], [6823, 0.058], [6824, 0.047], + [6825, 0.027], [6826, 0.074], [6827, 0.076], [6828, 0.098], + [6829, 0.14], [6830, 0.155], [6831, 0.162], [6832, 0.317], + [6833, 0.286], [6834, 0.26], [6835, 0.797], [6836, 0.742], + [6837, 0.647], [6838, 0.167], [6839, 0.227], [6840, 0.257], + [6841, 0.397], [6842, 0.46], [6843, 0.51], [6844, 0.738], + [6845, 0.804], [6846, 0.784], [6847, 0.978], [6848, 0.958], + [6849, 0.938], [6850, 1.0], [6851, 0.943], [6852, 0.899], + [6853, 0.965], [6854, 0.947], [6855, 0.931], [6856, 0.847], + [6857, 0.894], [6858, 0.948], [6859, 0.432], [6860, 0.389], + [6861, 0.389], [6862, 0.405], [6863, 0.446], [6864, 0.597], + [6865, 0.944], [6866, 0.542], [6867, 0.583], [6868, 0.653], + [6869, 0.67], [6870, 0.629], [6871, 0.573], [6872, 0.494], + [6873, 0.194], [6874, 0.194], [6875, 0.377], [6876, 0.481], + [6877, 0.294], [6878, 0.504], [6879, 0.683], [6880, 0.868], + [6881, 0.9], [6882, 0.932], [6883, 0.965], [6884, 0.951], + [6885, 0.913], [6886, 0.871], [6887, 0.789], [6888, 0.831], + [6889, 0.902], [6890, 0.932], [6891, 0.97], [6892, 0.724], + [6893, 0.821], [6894, 0.909], [6895, 0.942], [6896, 0.978], + [6897, 0.716], [6898, 0.811], [6899, 0.915], [6900, 0.952], + [6901, 0.985], [6902, 0.708], [6903, 0.972], [6904, 0.844], + [6905, 0.931], [6906, 0.973], [6907, 0.997], [6908, 0.758], + [6909, 0.986], [6910, 0.905], [6911, 0.957], [6912, 0.985], + [6913, 0.998], [6914, 0.854], [6915, 0.738], [6916, 0.682], + [6917, 0.68], [6918, 0.706], [6919, 0.736], [6920, 0.841], + [6921, 0.972], [6922, 0.658], [6923, 0.728], [6924, 0.796], + [6925, 0.815], [6926, 0.733], [6927, 0.653], [6928, 0.701], + [6929, 0.171], [6930, 0.12], [6931, 0.428], [6932, 0.569], + [6933, 0.261], [6934, 0.462], [6935, 0.6], [6936, 0.879], + [6937, 0.838], [6938, 0.795], [6939, 0.372], [6940, 0.837], + [6941, 0.904], [6942, 0.589], [6943, 0.577], [6944, 0.66], + [6945, 0.811], [6946, 0.217], [6947, 0.133], [6948, 0.491], + [6949, 0.703], [6950, 0.268], [6951, 0.443], [6952, 0.264], + [6953, 0.146], [6954, 0.554], [6955, 0.746], [6956, 0.274], + [6957, 0.424], [6958, 0.849], [6959, 0.733], [6960, 0.282], + [6961, 0.877], [6962, 0.808], [6963, 0.722], [6964, 0.962], + [6965, 0.948], [6966, 0.916], [6967, 0.721], [6968, 0.502], + [6969, 0.939], [6970, 0.883], [6971, 0.791], [6972, 0.926], + [6973, 0.371], [6974, 0.469], [6975, 0.657], [6976, 0.768], + [6977, 0.387], [6978, 0.303], [6979, 0.289], [6980, 0.251], + [6981, 0.581], [6982, 0.748], [6983, 0.459], [6984, 0.552], + [6985, 0.948], [6986, 0.942], [6987, 0.919], [6988, 0.568], + [6989, 0.925], [6990, 0.943], [6991, 0.903], [6992, 0.826], + [6993, 0.852], [6994, 0.467], [6995, 0.767], [6996, 0.359], + [6997, 0.369], [6998, 0.613], [6999, 0.769], [7000, 0.993], + [7001, 0.731], [7002, 0.419], [7003, 0.496], [7004, 0.646], + [7005, 0.789], [7006, 0.561], [7007, 0.772], [7008, 0.651], + [7009, 0.807], [7010, 0.896], [7011, 0.914], [7012, 0.95], + [7013, 0.975], [7014, 0.807], [7015, 0.882], [7016, 0.974], + [7017, 0.978], [7018, 0.987], [7019, 0.993], [7020, 0.944], + [7021, 0.963], [7022, 0.921], [7023, 0.931], [7024, 0.925], + [7025, 0.919], [7026, 0.898], [7027, 0.847], [7028, 0.748], + [7029, 0.944], [7030, 0.946], [7031, 0.932], [7032, 0.943], + [7033, 0.997], [7034, 0.993], [7035, 0.987], [7036, 0.988], + [7037, 0.964], [7038, 0.874], [7039, 0.641], [7040, 0.998], + [7041, 0.997], [7042, 0.998], [7043, 0.117], [7044, 0.155], + [7045, 0.132], [7046, 0.148], [7047, 0.179], [7048, 0.27], + [7049, 0.071], [7050, 0.216], [7051, 0.068], [7052, 0.214], + [7053, 0.1], [7054, 0.282], [7055, 0.103], [7056, 0.02], + [7057, 0.116], [7058, 0.483], [7059, 0.62], [7060, 0.277], + [7061, 0.497], [7062, 0.324], [7063, 0.65], [7064, 0.37], + [7065, 0.512], [7066, 0.346], [7067, 0.718], [7068, 0.537], + [7069, 0.786], [7070, 0.707], [7071, 0.633], [7072, 0.534], + [7073, 0.713], [7074, 0.824], [7075, 0.77], [7076, 0.438], + [7077, 0.483], [7078, 0.722], [7079, 0.687], [7080, 0.073], + [7081, 0.054], [7082, 0.058], [7083, 0.007], [7084, 0.014], + [7085, 0.037], [7086, 0.025], [7087, 0.034], [7088, 0.053], + [7089, 0.09], [7090, 0.37], [7091, 0.471], [7092, 0.289], + [7093, 0.171], [7094, 0.109], [7095, 0.197], [7096, 0.082], + [7097, 0.043], [7098, 0.068], [7099, 0.104], [7100, 0.062], + [7101, 0.065], [7102, 0.092], [7103, 0.513], [7104, 0.494], + [7105, 0.038], [7106, 0.004], [7107, 0.022], [7108, 0.023], + [7109, 0.045], [7110, 0.117], [7111, 0.125], [7112, 0.116], + [7113, 0.128], [7114, 0.058], [7115, 0.05], [7119, 0.125], + [7120, 0.261], [7121, 0.224], [7122, 0.079], [7123, 0.098], + [7124, 0.023], [7125, 0.011], [7126, 0.006], [7127, 0.033], + [7128, 0.094], [7129, 0.08], [7130, 0.089], [7131, 0.089], + [7132, 0.189], [7133, 0.09], [7134, 0.154], [7135, 0.103], + [7136, 0.194], [7137, 0.153], [7138, 0.114], [7139, 0.115], + [7140, 0.113], [7141, 0.02], [7143, 0.018], [7144, 0.013], + [7145, 0.019], [7146, 0.014], [7148, 0.122], [7149, 0.09], + [7150, 0.012], [7151, 0.026], [7154, 0.041], [7157, 0.064], + [7159, 0.116], [7160, 0.124], [7161, 0.124], [7162, 0.024], + [7163, 0.037], [7164, 0.063], [7165, 0.067], [7166, 0.071], + [7167, 0.03], [7168, 0.048], [7170, 0.073], [7171, 0.066], + [7172, 0.003], [7173, 0.006], [7182, 0.006], [7183, 0.016], + [7186, 0.005], [7189, 0.002], [7192, 0.003], [7195, 0.003], + [7197, 0.015], [7198, 0.011], [7199, 0.021], [7200, 0.041], + [7201, 0.038], [7202, 0.02], [7203, 0.009], [7204, 0.011], + [7205, 0.016], [7206, 0.021], [7207, 0.012], [7228, 0.005], + [7229, 0.012], [7230, 0.019], [7231, 0.012], [7232, 0.023], + [7233, 0.043], [7234, 0.111], [7235, 0.067], [7236, 0.022], + [7237, 0.012], [7238, 0.02], [7239, 0.038], [7240, 0.086], + [7241, 0.049], [7242, 0.021], [7243, 0.008], [7244, 0.01], + [7245, 0.023], [7250, 0.003], [7251, 0.013], [7252, 0.012], + [7258, 0.014], [7259, 0.011], [7260, 0.006], [7264, 0.045], + [7265, 0.029], [7266, 0.026], [7267, 0.006], [7268, 0.002], + [7272, 0.002], [7274, 0.014], [7275, 0.021], [7279, 0.047], + [7280, 0.032], [7281, 0.028], [7282, 0.003], [7283, 0.001], + [7284, 0.089], [7285, 0.09], [7286, 0.031], [7287, 0.025], + [7288, 0.068], [7289, 0.04], [7290, 0.06], [7291, 0.079], + [7292, 0.079], [7293, 0.086], [7294, 0.117], [7295, 0.105], + [7296, 0.08], [7297, 0.049], [7298, 0.056], [7299, 0.177], + [7300, 0.179], [7301, 0.06], [7302, 0.049], [7303, 0.135], + [7304, 0.065], [7305, 0.087], [7306, 0.15], [7307, 0.158], + [7308, 0.169], [7309, 0.138], [7310, 0.133], [7311, 0.109], + [7312, 0.097], [7313, 0.111], [7314, 0.352], [7315, 0.355], + [7316, 0.118], [7317, 0.087], [7318, 0.269], [7319, 0.087], + [7320, 0.111], [7321, 0.284], [7322, 0.316], [7323, 0.337], + [7324, 0.165], [7325, 0.163], [7326, 0.136], [7327, 0.191], + [7328, 0.221], [7329, 0.606], [7330, 0.618], [7331, 0.231], + [7332, 0.145], [7333, 0.519], [7334, 0.071], [7335, 0.067], + [7336, 0.597], [7337, 0.584], [7338, 0.601], [7339, 0.132], + [7340, 0.125], [7341, 0.091], [7342, 0.573], [7343, 0.581], + [7344, 0.8], [7345, 0.807], [7346, 0.519], [7347, 0.396], + [7348, 0.743], [7349, 0.168], [7350, 0.06], [7351, 0.789], + [7352, 0.786], [7353, 0.801], [7354, 0.071], [7355, 0.065], + [7356, 0.055], [7357, 0.785], [7358, 0.787], [7359, 0.9], + [7360, 0.904], [7361, 0.76], [7362, 0.698], [7363, 0.871], + [7364, 0.584], [7365, 0.53], [7366, 0.895], [7367, 0.893], + [7368, 0.9], [7369, 0.195], [7370, 0.28], [7371, 0.392], + [7372, 0.892], [7373, 0.894], [7374, 0.95], [7375, 0.952], + [7376, 0.88], [7377, 0.849], [7378, 0.936], [7379, 0.792], + [7380, 0.765], [7381, 0.947], [7382, 0.946], [7383, 0.95], + [7384, 0.581], [7385, 0.627], [7386, 0.692], [7387, 0.946], + [7388, 0.947], [7389, 1.0], [7390, 1.0], [7391, 1.0], + [7392, 1.0], [7393, 1.0], [7394, 1.0], [7395, 1.0], + [7396, 1.0], [7397, 1.0], [7398, 1.0], [7399, 0.971], + [7400, 0.98], [7401, 0.991], [7402, 1.0], [7403, 1.0], + [7404, 1.0], [7405, 1.0], [7406, 1.0], [7407, 1.0], + [7408, 1.0], [7409, 1.0], [7410, 1.0], [7411, 1.0], + [7412, 1.0], [7413, 1.0], [7414, 1.0], [7415, 1.0], + [7416, 1.0], [7417, 1.0], [7418, 1.0], [7419, 1.0], + [7420, 1.0], [7421, 1.0], [7422, 1.0], [7423, 1.0], + [7424, 1.0], [7425, 1.0], [7426, 1.0], [7427, 1.0], + [7428, 1.0], [7429, 1.0], [7430, 1.0], [7431, 1.0], + [7432, 1.0], [7433, 1.0], [7434, 0.164], [7435, 0.131], + [7436, 0.715], [7437, 0.66], [7438, 0.829], [7439, 0.913], + [7440, 0.984], [7441, 0.971], [7442, 0.976], [7443, 0.959], + [7444, 0.136], [7445, 0.117], [7446, 0.097], [7447, 0.122], + [7448, 0.09], [7449, 0.085], [7450, 0.127], [7451, 0.111], + [7452, 0.133], [7453, 0.136], [7454, 0.113], [7455, 0.155], + [7456, 0.207], [7457, 0.08], [7458, 0.753], [7459, 0.507], + [7460, 0.393], [7461, 0.265], [7462, 0.225], [7463, 0.119], + [7464, 0.067], [7465, 0.465], [7466, 0.071], [7467, 0.464], + [7468, 0.351], [7469, 0.351], [7470, 0.237], [7471, 0.237], + [7472, 0.151], [7473, 0.151], [7474, 0.089], [7475, 0.089], + [7476, 0.039], [7477, 0.039], [7478, 0.016], [7479, 0.016], + [7480, 0.37], [7481, 0.432], [7482, 0.28], [7483, 0.326], + [7484, 0.189], [7485, 0.22], [7486, 0.12], [7487, 0.14], + [7488, 0.07], [7489, 0.082], [7490, 0.031], [7491, 0.036], + [7492, 0.012], [7493, 0.014], [7494, 0.298], [7495, 0.097], + [7496, 0.057], [7497, 0.025], [7498, 0.01], [7499, 0.211], + [7500, 0.219], [7501, 0.244], [7502, 0.161], [7503, 0.165], + [7504, 0.184], [7505, 0.111], [7506, 0.112], [7507, 0.124], + [7508, 0.072], [7509, 0.066], [7510, 0.071], [7511, 0.007], + [7512, 0.079], [7513, 0.042], [7514, 0.039], [7515, 0.042], + [7516, 0.017], [7517, 0.047], [7518, 0.019], [7519, 0.017], + [7520, 0.018], [7521, 0.038], [7522, 0.021], [7523, 0.007], + [7524, 0.007], [7525, 0.007], [7526, 0.065], [7527, 0.008], + [7528, 0.38], [7529, 0.256], [7530, 0.163], [7531, 0.095], + [7532, 0.042], [7533, 0.017], [7534, 0.354], [7535, 0.239], + [7536, 0.152], [7537, 0.089], [7538, 0.039], [7539, 0.016], + [7540, 0.282], [7541, 0.191], [7542, 0.121], [7543, 0.071], + [7544, 0.031], [7545, 0.013], [7546, 0.247], [7547, 0.166], + [7548, 0.106], [7549, 0.062], [7550, 0.027], [7551, 0.011], + [7552, 0.247], [7553, 0.166], [7554, 0.106], [7555, 0.062], + [7556, 0.027], [7557, 0.011], [7558, 0.248], [7559, 0.167], + [7560, 0.106], [7561, 0.062], [7562, 0.027], [7563, 0.011], + [7564, 0.961], [7565, 1.0], [7566, 1.0], [7567, 1.0], + [7568, 1.0], [7569, 1.0], [7570, 1.0], [7571, 0.935], + [7572, 0.974], [7573, 0.946], [7574, 0.809], [7575, 0.992], + [7576, 0.999], [7577, 1.0], [7578, 1.0], [7579, 1.0], + [7580, 0.992], [7581, 0.992], [7582, 1.0], [7583, 1.0], + [7584, 1.0], [7585, 1.0], [7586, 0.883], [7587, 0.504], + [7588, 0.536], [7589, 0.374], [7590, 0.346], [7591, 0.346], + [7592, 0.34], [7593, 0.092], [7594, 0.149], [7595, 0.175], + [7596, 0.317], [7597, 0.409], [7598, 0.47], [7599, 0.076], + [7600, 0.076], [7601, 0.519], [7602, 0.287], [7603, 0.771], + [7604, 0.646], [7605, 0.812], [7606, 0.814], [7607, 0.784], + [7608, 0.885], [7609, 0.706], [7610, 0.763], [7611, 0.994], + [7612, 0.405], [7613, 0.711], [7614, 0.53], [7615, 0.056], + [7616, 0.071], [7617, 0.084], [7618, 0.058], [7619, 0.072], + [7620, 0.097], [7621, 0.1], [7622, 0.045], [7623, 0.061], + [7624, 0.046], [7625, 0.204], [7626, 0.154], [7627, 0.152], + [7628, 0.202], [7629, 0.285], [7630, 0.1], [7631, 0.059], + [7632, 0.026], [7633, 0.01], [7634, 0.941], [7635, 0.848], + [7636, 0.924], [7637, 0.921], [7638, 0.892], [7639, 0.842], + [7640, 0.854], [7641, 0.848], [7642, 0.928], [7643, 0.909], + [7644, 0.893], [7645, 0.912], [7646, 0.917], [7647, 0.91], + [7648, 0.972], [7649, 0.928], [7650, 0.959], [7651, 0.973], + [7652, 0.969], [7653, 0.972], [7654, 0.984], [7655, 0.987], + [7656, 1.0], [7657, 1.0], [7658, 1.0], [7659, 1.0], + [7660, 1.0], [7661, 1.0], [7662, 1.0], [7663, 1.0], + [7664, 1.0], [7665, 1.0], [7666, 1.0], [7667, 1.0], + [7668, 1.0], [7669, 0.997], [7670, 1.0], [7671, 1.0], + [7672, 0.993], [7673, 1.0], [7674, 1.0], [7675, 1.0], + [7676, 0.987], [7677, 0.989], [7678, 0.985], [7679, 0.991], + [7680, 1.0], [7681, 1.0], [7682, 1.0], [7683, 1.0], + [7684, 0.131], [7685, 0.135], [7686, 0.667], [7687, 0.119], + [7688, 0.111], [7689, 0.175], [7690, 0.582], [7691, 0.592], + [7692, 0.489], [7693, 0.285], [7694, 0.256], [7695, 0.394], + [7696, 0.649], [7697, 0.896], [7698, 0.917], [7699, 0.942], + [7700, 0.982], [7701, 1.0], [7702, 1.0], [7703, 1.0], + [7704, 1.0], [7705, 1.0], [7706, 1.0], [7707, 0.995], + [7708, 1.0], [7709, 0.012], [7710, 0.262], [7711, 0.177], + [7712, 1.0], [7713, 1.0], [7714, 1.0], [7715, 0.364], + [7716, 1.0], [7717, 1.0], [7718, 0.975], [7719, 0.881], + [7720, 0.823], [7721, 1.0], [7722, 0.066], [7723, 0.112], + [7724, 0.029], [7725, 0.225], [7726, 0.219], [7727, 0.153], + [7728, 0.153], [7729, 0.104], [7730, 0.103], [7731, 0.263], + [7732, 0.029], [7733, 1.0], [7734, 0.359], [7735, 0.837], + [7736, 0.113], [7737, 0.012], [7738, 1.0], [7739, 0.965], + [7740, 0.899], [7741, 1.0], [7742, 1.0], [7743, 0.066], + [7744, 1.0], [7745, 0.177], [7746, 1.0], [7747, 0.486], + [7748, 0.476], [7749, 0.477], [7750, 0.543], [7751, 0.657], + [7752, 0.732], [7753, 0.767], [7754, 0.779], [7755, 0.746], + [7756, 0.759], [7757, 0.639], [7758, 0.608], [7759, 0.585], + [7760, 0.59], [7761, 0.618], [7762, 0.646], [7763, 0.688], + [7764, 0.843], [7765, 0.539], [7766, 0.648], [7767, 0.885], + [7768, 0.973], [7769, 0.986], [7770, 0.966], [7771, 0.921], + [7772, 0.926], [7773, 0.528], [7774, 0.465], [7775, 0.493], + [7776, 0.6], [7777, 0.663], [7778, 0.878], [7779, 0.901], + [7780, 1.0], [7781, 1.0], [7782, 0.902], [7783, 0.833], + [7784, 0.84], [7785, 0.831], [7786, 1.0], [7787, 0.842], + [7788, 0.856], [7789, 1.0], [7790, 0.925], [7791, 0.512], + [7792, 0.456], [7793, 0.951], [7794, 0.972], [7795, 0.979], + [7796, 0.965], [7797, 0.947], [7798, 0.943], [7799, 1.0], + [7800, 1.0], [7801, 1.0], [7802, 1.0], [7803, 0.976], + [7804, 1.0], [7805, 1.0], [7806, 0.978], [7807, 1.0], + [7808, 1.0], [7809, 1.0], [7810, 1.0], [7811, 1.0], + [7812, 1.0], [7813, 0.995], [7814, 1.0], [7815, 1.0], + [7816, 0.975], [7817, 0.979], [7818, 1.0], [7819, 1.0], + [7820, 0.976], [7821, 0.969], [7822, 0.96], [7823, 0.954], + [7824, 0.939], [7825, 0.993], [7826, 0.988], [7827, 1.0], + [7828, 1.0], [7829, 1.0], [7830, 1.0], [7831, 1.0], + [7832, 1.0], [7833, 0.999], [7834, 1.0], [7835, 1.0], + [7836, 0.989], [7837, 0.977], [7838, 1.0], [7839, 1.0], + [7840, 1.0], [7841, 1.0], [7842, 1.0], [7843, 0.965], + [7844, 0.978], [7845, 0.977], [7846, 0.989], [7847, 0.993], + [7848, 0.973], [7849, 0.998], [7850, 0.975], [7851, 1.0], + [7852, 1.0], [7853, 1.0], [7854, 1.0], [7855, 1.0], + [7856, 1.0], [7857, 1.0], [7858, 1.0], [7859, 1.0], + [7860, 1.0], [7861, 1.0], [7862, 1.0], [7863, 1.0], + [7864, 1.0], [7865, 1.0], [7866, 1.0], [7867, 1.0], + [7868, 1.0], [7869, 1.0], [7870, 1.0], [7871, 1.0], + [7872, 1.0], [7873, 1.0], [7874, 1.0], [7875, 1.0], + [7876, 1.0], [7877, 1.0], [7878, 1.0], [7879, 1.0], + [7880, 1.0], [7881, 1.0], [7882, 1.0], [7883, 1.0], + [7884, 1.0], [7885, 1.0], [7886, 1.0], [7887, 1.0], + [7888, 1.0], [7889, 1.0], [7890, 1.0], [7891, 1.0], + [7892, 1.0], [7893, 1.0], [7894, 1.0], [7895, 0.988], + [7896, 0.994], [7897, 0.997], [7898, 1.0], [7899, 1.0], + [7900, 1.0], [7901, 1.0], [7902, 1.0], [7903, 1.0], + [7904, 1.0], [7905, 1.0], [7906, 0.998], [7907, 1.0], + [7908, 1.0], [7909, 1.0], [7910, 1.0], [7911, 1.0], + [7912, 1.0], [7913, 1.0], [7914, 1.0], [7915, 1.0], + [7916, 1.0], [7917, 1.0], [7918, 1.0], [7919, 1.0], + [7920, 1.0], [7921, 0.997], [7922, 0.994], [7923, 1.0], + [7924, 1.0], [7925, 1.0], [7926, 1.0], [7927, 1.0], + [7928, 1.0], [7929, 1.0], [7930, 1.0], [7931, 1.0], + [7932, 1.0], [7933, 1.0], [7934, 1.0], [7935, 1.0], + [7936, 1.0], [7937, 0.991], [7938, 1.0], [7939, 1.0], + [7940, 1.0], [7941, 1.0], [7942, 1.0], [7943, 1.0], + [7944, 1.0], [7945, 1.0], [7946, 1.0], [7947, 1.0], + [7948, 1.0], [7949, 1.0], [7950, 1.0], [7951, 1.0], + [7952, 1.0], [7953, 1.0], [7954, 1.0], [7955, 1.0], + [7956, 1.0], [7957, 1.0], [7958, 1.0], [7959, 1.0], + [7960, 1.0], [7961, 1.0], [7962, 1.0], [7963, 1.0], + [7964, 1.0], [7965, 1.0], [7966, 1.0], [7967, 1.0], + [7968, 1.0], [7969, 1.0], [7970, 1.0], [7971, 1.0], + [7972, 1.0], [7973, 1.0], [7974, 1.0], [7975, 1.0], + [7976, 1.0], [7977, 1.0], [7978, 1.0], [7979, 1.0], + [7980, 1.0], [7981, 1.0], [7982, 1.0], [7983, 1.0], + [7984, 1.0], [7985, 1.0], [7986, 1.0], [7987, 1.0], + [7988, 1.0], [7989, 1.0], [7990, 1.0], [7991, 1.0], + [7992, 1.0], [7993, 1.0], [7994, 1.0], [7995, 1.0], + [7996, 1.0], [7997, 1.0], [7998, 1.0], [7999, 1.0], + [8000, 1.0], [8001, 1.0], [8002, 1.0], [8003, 1.0], + [8004, 1.0], [8005, 1.0], [8006, 1.0], [8007, 1.0], + [8008, 1.0], [8009, 1.0], [8010, 1.0], [8011, 1.0], + [8012, 1.0], [8013, 1.0], [8014, 1.0], [8015, 1.0], + [8016, 1.0], [8017, 1.0], [8018, 1.0], [8019, 1.0], + [8020, 1.0], [8021, 1.0], [8022, 1.0], [8023, 1.0], + [8024, 1.0], [8025, 1.0], [8026, 1.0], [8027, 1.0], + [8028, 1.0], [8029, 0.993], [8030, 1.0], [8031, 1.0], + [8032, 1.0], [8033, 1.0], [8034, 1.0], [8035, 1.0], + [8036, 1.0], [8037, 1.0], [8038, 1.0], [8039, 1.0], + [8040, 1.0], [8041, 1.0], [8042, 1.0], [8043, 1.0], + [8044, 1.0], [8045, 1.0], [8046, 1.0], [8088, 0.001], + [8089, 0.002], [8151, 0.005], [8152, 0.006], [8153, 0.002], + [8154, 0.001], [8155, 0.001], [8156, 0.001], [8157, 0.001], + [8164, 0.002], [8165, 0.002], [8166, 0.002], [8167, 0.002], + [8168, 0.002], [8169, 0.004], [8170, 0.004], [8171, 0.004], + [8172, 0.004], [8173, 0.003], [8174, 0.003], [8175, 0.003], + [8176, 0.003], [8177, 0.003], [8178, 0.003], [8179, 0.006], + [8180, 0.006], [8181, 0.005], [8182, 0.005], [8183, 0.005], + [8184, 0.006], [8185, 0.008], [8187, 0.008], [8188, 0.008], + [8189, 0.008], [8196, 0.007], [8202, 0.002], [8203, 0.003], + [8204, 0.004], [8205, 0.004], [8223, 0.001], [8224, 0.001], + [8225, 0.001], [8226, 0.001], [10356, 0.009], [10357, 0.023], + [10358, 0.052], [10359, 0.088], [10360, 0.137], [10361, 0.201], + [10362, 0.264], [10363, 0.215], [10364, 0.172], [10365, 0.12], + [10366, 0.078], [10367, 0.103], [10368, 0.121], [10369, 0.117], + [10370, 0.05], [10371, 0.027], [10372, 0.012], [10373, 0.008], + [10374, 0.006], [10375, 0.007], [10376, 0.01], [10377, 0.008], + [10378, 0.032], [10379, 0.057], [10380, 0.087], [10381, 0.107], + [10382, 0.282], [10383, 0.641], [10384, 0.821], [10385, 1.0], + [10386, 1.0], [10387, 1.0], [10388, 1.0], [10389, 1.0], + [10390, 1.0], [10391, 0.908], [10392, 0.817], [10393, 0.632], + [10394, 0.376], [10395, 0.194], [10396, 0.098], [10397, 0.049], + [10404, 0.003], [10405, 0.027], [10406, 0.115], [10407, 0.153], + [10408, 0.962], [10409, 0.975], [10410, 0.968], [10411, 0.948], + [10412, 0.865], [10413, 0.734], [10414, 0.565], [10415, 0.63], + [10416, 0.744], [10417, 0.85], [11465, 0.1], [11466, 0.076], + [11467, 0.093], [11468, 0.154], [11469, 0.33], [11470, 0.407], + [11471, 0.476], [11472, 0.5], [11473, 0.395], [11474, 0.359], + [11475, 0.219], [11476, 0.076], [11477, 0.025], [11478, 0.035], + [11479, 0.086], [11480, 0.166], [11481, 0.276], [11482, 0.706], + [11483, 0.179], [11484, 0.431], [11485, 0.775], [11486, 0.975], + [11487, 0.982], [11488, 0.975], [11489, 0.873], [11490, 0.939], + [11491, 0.956], [11492, 0.507], [11493, 0.733], [11494, 0.303], + [11495, 0.442], [11496, 0.499], [11497, 0.567], [11498, 0.566], + [11499, 0.54], [11500, 0.362], [11501, 0.508], [11502, 0.224], + [11503, 0.222], [11504, 0.24], [11505, 0.293], [11506, 0.895], + [11507, 0.493], [11508, 0.256], [11509, 0.851], [11510, 0.932], + [11511, 0.904], [11512, 0.899], [11513, 0.275], [11514, 0.171], + [11515, 0.198], [11516, 0.425], [11667, 0.288], [11668, 0.139], + [11669, 0.128], [11670, 0.621], [11671, 0.306], [11672, 0.067], + [11673, 0.099], [11674, 0.052], [11675, 0.493], [11676, 0.433], + [11677, 0.48], [11678, 0.792], [11679, 0.972], [11680, 0.946], + [11681, 0.297], [11682, 0.377], [11683, 0.241], [11684, 0.207], + [11685, 0.161], [11686, 0.336], [11687, 0.247], [11688, 0.129], + [11689, 0.257], [11690, 0.232], [11691, 0.333], [11692, 0.306], + [11693, 0.274], [11694, 0.563], [11695, 0.453], [11696, 0.628], + [11697, 0.844], [11698, 0.489], [11699, 0.936], [11700, 0.618], + [11701, 0.93], [11702, 0.857], [11703, 0.378], [11704, 0.851], + [11705, 0.988], [11706, 0.805], [11707, 0.804], [11708, 0.203], + [11709, 0.057], [11710, 0.029], [11711, 0.045], [11712, 0.955], + [11713, 0.879], [11714, 0.738], [11715, 0.97], [11716, 0.688], + [11717, 0.768], [11718, 0.863], [11719, 0.904], [11720, 1.0], + [11721, 0.996], [11722, 1.0], [11723, 1.0], [11724, 1.0], + [11725, 1.0], [11726, 1.0], [11727, 1.0], [11728, 1.0], + [11729, 1.0], [11730, 1.0], [11731, 1.0], [11732, 1.0], + [11733, 1.0], [11734, 1.0], [11735, 1.0], [11736, 1.0], + [11737, 1.0], [11738, 1.0], [11739, 1.0], [11740, 0.992], + [11741, 1.0], [11742, 0.257], [11743, 0.526], [11744, 0.411], + [11745, 0.765], [11746, 0.037], [11747, 0.962], [11748, 0.379], + [11749, 0.182], [11750, 0.207], [11751, 0.166], [11752, 0.24], + [11753, 0.189], [11754, 0.237], [11755, 0.248], [11756, 0.119], + [11757, 0.157], [11758, 0.19], [11759, 0.214], [11760, 0.26], + [11761, 0.292], [11762, 0.219], [11763, 0.267], [11764, 0.191], + [11765, 0.234], [11766, 0.288], [11767, 0.201], [11768, 0.257], + [11769, 0.229], [11770, 0.176], [11771, 0.139], [11772, 0.126], + [11773, 0.102], [11774, 0.076], [11775, 0.062], [11776, 0.097], + [11777, 0.133], [11778, 0.112], [11779, 0.103], [11780, 0.112], + [11781, 0.123], [11782, 0.127], [11783, 0.121], [11784, 0.115], + [11785, 0.178], [11786, 0.142], [11787, 0.505], [11788, 0.42], + [11789, 0.413], [11790, 0.692], [11791, 0.638], [11792, 0.651], + [11793, 0.805], [11794, 0.794], [11795, 0.803], [11796, 0.885], + [11797, 0.885], [11798, 0.888], [11799, 0.925], [11800, 0.937], + [11801, 0.948], [11802, 0.791], [11803, 0.95], [11804, 0.929], + [11805, 0.893], [11806, 0.98], [11807, 0.827], [11808, 0.906], + [11809, 0.991], [11810, 0.986], [11811, 0.975], [11812, 0.881], + [11813, 0.957], [11814, 0.803], [11815, 0.646], [11816, 0.409], + [11817, 0.232], [11818, 0.161], [11819, 0.178], [11820, 0.817], + [11821, 0.116], [11822, 0.132], [11823, 0.109], [11824, 0.126], + [11825, 0.123], [11826, 0.115], [11827, 0.098], [11828, 0.207], + [11829, 0.733], [11830, 0.114], [11831, 0.109], [11832, 0.094], + [11833, 0.098], [11834, 0.12], [11835, 0.136], [11836, 0.151], + [11837, 0.166], [11838, 0.975], [11839, 0.987], [11840, 0.948], + [11841, 0.957], [11842, 0.997], [11843, 0.993], [11844, 0.91], + [11845, 0.968], [11846, 0.994], [11847, 0.685], [11848, 0.998], + [11849, 0.102], [11850, 0.225], [11851, 0.458], [11852, 0.981], + [11853, 0.971], [11854, 0.847], [11855, 0.983], [11856, 0.907], + [11857, 0.761], [11858, 0.418], [11859, 0.429], [11860, 0.437], + [11861, 0.61], [11862, 0.566], [11863, 0.77], [11864, 0.704], + [11865, 0.879], [11866, 0.235], [11867, 0.677], [11868, 0.807], + [11869, 0.938], [11870, 0.956], [11871, 0.961], [11872, 0.953], + [11873, 0.681], [11874, 0.618], [11875, 0.61], [11876, 0.58], + [11877, 0.565], [11878, 0.585], [11879, 0.598], [11880, 0.773], + [11881, 0.83], [11882, 0.881], [11883, 0.834], [11884, 0.738], + [11885, 0.466], [11886, 0.446], [11887, 0.445], [11888, 0.433], + [11889, 0.455], [11890, 0.466], [11891, 0.637], [11892, 0.223], + [11893, 0.213], [11894, 0.216], [11895, 0.191], [11896, 0.179], + [11897, 0.106], [11898, 0.107], [11899, 0.088], [11900, 0.087], + [11901, 0.104], [11902, 0.119], [11903, 0.134], [11904, 0.141], + [11905, 0.165], [11906, 0.188], [11907, 0.206], [11908, 0.899], + [11909, 0.254], [11910, 0.342], [11911, 0.973], [11912, 0.988], + [11913, 1.0], [11914, 1.0], [11915, 1.0], [11916, 1.0], + [11917, 1.0], [11918, 1.0], [11919, 1.0], [11920, 1.0], + [11921, 1.0], [11922, 1.0], [11923, 0.545], [11924, 0.818], + [11925, 0.278], [11926, 0.237], [11927, 0.259], [11928, 0.337], + [11929, 0.446], [11930, 0.635], [11931, 0.791], [11932, 0.883], + [11933, 0.93], [11934, 0.226], [11935, 0.2], [11936, 0.224], + [11937, 0.22], [11939, 0.081], [11940, 0.053], [11941, 0.085], + [11942, 0.088], [11943, 0.095], [11944, 0.148], [11949, 0.566], + [11950, 0.292], [11951, 0.146], [11952, 0.073], [11953, 0.024], + [11956, 0.049], [11957, 1.0], [11958, 0.944], [11959, 0.889], + [11960, 0.777], [11965, 0.145], [11966, 0.061], [11967, 1.0], + [11968, 1.0], [11969, 1.0], [11970, 1.0], [11971, 1.0], + [11972, 1.0], [11973, 1.0], [11974, 1.0], [11975, 1.0], + [11976, 1.0], [11977, 0.993], [11978, 1.0], [11979, 1.0], + [11980, 1.0], [11981, 1.0], [11982, 1.0], [11983, 0.993], + [11984, 0.967], [11985, 0.979], [11986, 1.0], [11987, 1.0], + [11988, 0.944], [11989, 1.0], [11990, 0.971], [11991, 1.0], + [11992, 1.0], [11993, 0.999], [11994, 1.0], [11995, 1.0], + [11996, 1.0], [11997, 1.0], [11998, 1.0], [11999, 1.0], + [12000, 1.0], [12001, 0.99], [12002, 1.0], [12003, 1.0], + [12004, 1.0], [12005, 0.918], [12006, 0.954], [12007, 0.984], + [12008, 0.975], [12009, 0.965], [12010, 0.977], [12011, 0.955], + [12012, 0.985], [12013, 0.97], [12014, 0.984], [12015, 0.987], + [12016, 1.0], [12017, 1.0], [12018, 1.0], [12019, 0.968], + [12020, 0.967], [12021, 1.0], [12022, 1.0], [12023, 0.973], + [12024, 0.986], [12025, 0.981], [12026, 0.977], [12027, 0.957], + [12028, 0.889], [12029, 0.976], [12030, 1.0], [12031, 0.969], + [12032, 0.962], [12033, 0.961], [12034, 0.987], [12035, 0.983], + [12036, 0.99], [12037, 0.993], [12038, 1.0], [12039, 1.0], + [12040, 1.0], [12041, 0.978], [12042, 0.974], [12043, 1.0], + [12044, 1.0], [12045, 0.971], [12046, 0.987], [12047, 0.984], + [12048, 0.977], [12049, 0.965], [12050, 0.971], [12051, 1.0], + [12052, 0.995], [12053, 0.989], [12054, 0.963], [12055, 0.968], + [12056, 1.0], [12057, 0.982], [12058, 1.0], [12059, 1.0], + [12060, 1.0], [12061, 1.0], [12062, 1.0], [12063, 0.994], + [12064, 0.979], [12065, 1.0], [12066, 1.0], [12067, 0.967], + [12068, 0.991], [12069, 0.984], [12070, 0.98], [12071, 0.988], + [12072, 0.987], [12073, 1.0], [12074, 0.999], [12075, 0.993], + [12076, 0.964], [12077, 0.982], [12078, 1.0], [12079, 0.98], + [12080, 1.0], [12081, 1.0], [12082, 1.0], [12083, 1.0], + [12084, 1.0], [12085, 0.991], [12086, 0.973], [12087, 1.0], + [12088, 1.0], [12089, 0.969], [12090, 0.991], [12091, 0.988], + [12092, 0.982], [12093, 0.999], [12094, 0.999], [12095, 1.0], + [12096, 1.0], [12097, 1.0], [12098, 0.97], [12099, 0.977], + [12100, 1.0], [12101, 0.981], [12102, 0.989], [12103, 1.0], + [12104, 1.0], [12105, 1.0], [12106, 1.0], [12107, 0.992], + [12108, 0.964], [12109, 1.0], [12110, 1.0], [12111, 0.974], + [12112, 0.986], [12113, 0.983], [12114, 0.979], [12115, 1.0], + [12116, 0.964], [12117, 1.0], [12118, 1.0], [12119, 1.0], + [12120, 0.974], [12121, 0.979], [12122, 0.996], [12123, 0.998], + [12124, 0.977], [12125, 0.977], [12126, 1.0], [12127, 1.0], + [12128, 1.0], [12129, 1.0], [12130, 1.0], [12131, 0.98], + [12132, 0.984], [12133, 0.986], [12134, 0.978], [12135, 1.0], + [12136, 1.0], [12137, 0.966], [12138, 0.991], [12139, 1.0], + [12140, 1.0], [12141, 1.0], [12142, 0.993], [12143, 0.734], + [12144, 0.746], [12145, 0.744], [12146, 1.0], [12147, 1.0], + [12148, 0.741], [12149, 1.0], [12150, 1.0], [12151, 0.724], + [12152, 1.0], [12153, 1.0], [12154, 0.747], [12155, 0.869], + [12156, 0.907], [12157, 1.0], [12158, 0.854], [12159, 1.0], + [12160, 1.0], [12161, 1.0], [12162, 0.981], [12163, 0.978], + [12164, 0.979], [12165, 0.98], [12166, 1.0], [12167, 0.973], + [12168, 1.0], [12169, 0.978], [12170, 1.0], [12171, 0.978], + [12172, 0.999], [12173, 0.988], [12174, 0.982], [12175, 0.991], + [12176, 0.979], [12177, 1.0], [12178, 0.972], [12179, 0.979], + [12180, 1.0], [12181, 1.0], [12182, 0.986], [12183, 0.991], + [12184, 0.965], [12185, 1.0], [12186, 1.0], [12187, 1.0], + [12188, 0.992], [12189, 0.972], [12190, 0.981], [12191, 1.0], + [12192, 1.0], [12193, 1.0], [12194, 1.0], [12195, 1.0], + [12196, 1.0], [12197, 0.974], [12198, 1.0], [12199, 0.975], + [12200, 1.0], [12201, 1.0], [12202, 0.985], [12203, 0.983], + [12204, 0.985], [12205, 0.992], [12206, 0.999], [12207, 0.967], + [12208, 1.0], [12209, 0.987], [12210, 0.982], [12211, 1.0], + [12212, 0.98], [12213, 0.98], [12214, 0.998], [12215, 1.0], + [12216, 1.0], [12217, 1.0], [12218, 0.993], [12219, 1.0], + [12220, 0.991], [12221, 0.984], [12222, 1.0], [12223, 0.993], + [12224, 0.983], [12225, 1.0], [12226, 1.0], [12227, 1.0], + [12228, 0.982], [12229, 0.985], [12230, 1.0], [12231, 0.993], + [12232, 1.0], [12233, 1.0], [12234, 1.0], [12235, 0.976], + [12236, 0.978], [12237, 0.989], [12238, 1.0], [12239, 0.986], + [12240, 0.991], [12241, 1.0], [12242, 1.0], [12243, 0.991], + [12244, 0.981], [12245, 1.0], [12246, 0.988], [12247, 0.979], + [12248, 0.99], [12249, 0.986], [12250, 1.0], [12251, 0.993], + [12252, 0.983], [12253, 1.0], [12254, 0.997], [12255, 0.997], + [12256, 1.0], [12257, 1.0], [12258, 0.968], [12259, 0.987], + [12260, 0.981], [12261, 0.989], [12262, 0.988], [12263, 1.0], + [12264, 0.996], [12265, 1.0], [12266, 1.0], [12267, 0.986], + [12268, 1.0], [12269, 1.0], [12270, 0.984], [12271, 0.99], + [12272, 0.983], [12273, 0.983], [12274, 0.985], [12275, 0.988], + [12276, 0.983], [12277, 0.993], [12278, 0.995], [12279, 0.993], + [12280, 0.996], [12281, 1.0], [12282, 0.988], [12283, 0.991], + [12284, 0.987], [12285, 0.985], [12286, 0.988], [12287, 0.982], + [12288, 0.992], [12289, 0.985], [12290, 0.991], [12291, 1.0], + [12292, 0.995], [12293, 1.0], [12294, 0.998], [12295, 0.994], + [12296, 0.971], [12297, 1.0], [12298, 0.991], [12299, 1.0], + [12300, 0.992], [12301, 0.984], [12302, 1.0], [12303, 1.0], + [12304, 1.0], [12305, 1.0], [12306, 0.982], [12307, 1.0], + [12308, 0.99], [12309, 0.973], [12310, 1.0], [12311, 1.0], + [12312, 0.97], [12313, 1.0], [12314, 1.0], [12315, 0.993], + [12316, 0.976], [12317, 1.0], [12318, 0.974], [12319, 1.0], + [12320, 0.955], [12321, 0.992], [12322, 1.0], [12323, 0.969], + [12324, 0.952], [12325, 0.961], [12326, 1.0], [12327, 0.989], + [12328, 0.959], [12329, 0.954], [12330, 0.992], [12331, 0.971], + [12332, 0.964], [12333, 0.975], [12334, 0.987], [12335, 0.982], + [12336, 0.978], [12337, 0.991], [12338, 0.987], [12339, 0.992], + [12340, 0.956], [12341, 0.962], [12342, 0.976], [12343, 0.966], + [12344, 1.0], [12345, 1.0], [12346, 1.0], [12347, 0.952], + [12348, 1.0], [12349, 0.969], [12350, 0.974], [12351, 0.979], + [12352, 0.984], [12353, 1.0], [12354, 1.0], [12355, 1.0], + [12356, 0.964], [12357, 1.0], [12358, 0.939], [12359, 0.984], + [12360, 0.971], [12361, 0.997], [12362, 0.98], [12363, 1.0], + [12364, 0.988], [12365, 0.941], [12366, 0.978], [12367, 1.0], + [13352, 0.276], [13353, 0.276], [13354, 0.633], [13355, 0.463], + [13356, 0.444], [13357, 0.327], [13358, 0.264], [13359, 0.335], + [13360, 0.907], [13361, 0.739], [13362, 0.621], [13363, 0.851], + [13364, 0.741], [13365, 0.894], [13366, 0.369], [13367, 0.398], + [13368, 0.34], [13369, 0.571], [13370, 0.394], [13371, 0.573], + [13372, 0.346], [13373, 0.256], [13374, 0.285], [13375, 0.53], + [13376, 0.495], [13377, 0.523], [13378, 0.525], [13379, 0.42], + [13394, 0.014], [13396, 0.042], [13402, 0.103], [13404, 0.016], + [13439, 0.015], [13500, 0.087], [13539, 0.015], [13600, 0.087], + [14566, 1.0], [14567, 1.0], [14568, 1.0], [14569, 1.0], + [14570, 1.0], [14571, 1.0], [14572, 1.0], [14573, 1.0], + [14590, 1.0], [14591, 1.0], [14592, 1.0], [14593, 1.0], + [14594, 1.0], [14595, 1.0], [14596, 1.0], [14597, 1.0], + [14742, 0.461], [14743, 0.319], [14744, 0.389], [14745, 0.571], + [14746, 0.647], [14747, 0.681], [14748, 0.515], [14749, 0.555], + [14750, 0.448], [14751, 0.422], [14752, 0.223], [14753, 0.028], + [14754, 0.013], [14755, 0.017], [14756, 0.054], [14757, 0.126], + [14758, 0.556], [14759, 0.62], [14760, 0.389], [14761, 0.456], + [14762, 0.48], [14763, 0.851], [14764, 0.044], [14765, 0.685], + [14766, 0.741], [14767, 0.439], [14769, 0.622], [14770, 0.649], + [14771, 0.153], [14772, 0.738], [14773, 0.331], [14776, 0.543], + [14777, 0.238], [14778, 0.15], [14779, 0.075], [14780, 0.017], + [14785, 0.344], [14792, 0.385], [14793, 0.626], [14805, 0.538], + [14806, 0.112], [14807, 0.254], [14808, 0.322], [14818, 0.419], + [14820, 0.613], [14821, 0.516], [14822, 0.301], [14823, 0.188], + [14824, 0.056], [14825, 0.028], [14830, 0.4], [14832, 0.577], + [14833, 0.488], [14834, 0.363], [14835, 0.225], [14836, 0.112], + [14837, 0.056], [14842, 0.155], [14843, 0.065], [14852, 0.252], + [14853, 0.538], [14855, 0.4], [14856, 0.363], [14857, 0.112], + [14858, 0.225], [14859, 0.056], [14860, 0.488], [14861, 0.577], + [14867, 0.461], [14868, 0.319], [14869, 0.389], [14870, 0.571], + [14871, 0.647], [14872, 0.681], [14873, 0.515], [14874, 0.555], + [14875, 0.448], [14876, 0.422], [14877, 0.223], [14878, 0.028], + [14879, 0.013], [14880, 0.017], [14881, 0.054], [14882, 0.126], + [14883, 0.556], [14884, 0.62], [14885, 0.389], [14886, 0.456], + [14887, 0.48], [14888, 0.851], [14889, 0.044], [14890, 0.685], + [14891, 0.741], [14892, 0.439], [14894, 0.622], [14895, 0.649], + [14896, 0.153], [14897, 0.738], [14898, 0.331], [14901, 0.543], + [14902, 0.238], [14903, 0.15], [14904, 0.075], [14905, 0.017], + [14910, 0.344], [14917, 0.385], [14918, 0.626], [14930, 0.538], + [14931, 0.112], [14932, 0.254], [14933, 0.322], [14943, 0.419], + [14945, 0.613], [14946, 0.516], [14947, 0.301], [14948, 0.188], + [14949, 0.056], [14950, 0.028], [14955, 0.4], [14957, 0.577], + [14958, 0.488], [14959, 0.363], [14960, 0.225], [14961, 0.112], + [14962, 0.056], [14967, 0.155], [14968, 0.065], [14977, 0.252], + [14978, 0.538], [14980, 0.4], [14981, 0.363], [14982, 0.112], + [14983, 0.225], [14984, 0.056], [14985, 0.488], [14986, 0.577], + [15060, 1.0], [15061, 1.0], [15062, 1.0], [15063, 1.0], + [15064, 1.0], [15065, 1.0], [15066, 1.0], [15067, 1.0], + [15068, 1.0], [15069, 1.0], [15070, 1.0], [15071, 1.0], + [15072, 1.0], [15073, 1.0], [15074, 1.0], [15075, 1.0], + [15076, 1.0], [15077, 1.0], [15078, 1.0], [15079, 1.0], + [15080, 0.979], [15081, 1.0], [15082, 1.0], [15083, 1.0], + [15084, 1.0], [15085, 1.0], [15086, 1.0], [15087, 1.0], + [15088, 1.0], [15089, 1.0], [15090, 1.0], [15091, 1.0], + [15092, 1.0], [15093, 1.0], [15094, 1.0], [15095, 1.0], + [15096, 1.0], [15097, 1.0], [15098, 1.0], [15099, 1.0], + [15100, 1.0], [15101, 1.0], [15102, 1.0], [15103, 1.0], + [15104, 1.0], [15105, 1.0], [15106, 1.0], [15107, 1.0], + [15108, 1.0], [15109, 1.0], [15110, 1.0], [15111, 1.0], + [15112, 1.0], [15113, 0.979], [15114, 1.0], [15115, 1.0], + [15116, 1.0], [15117, 1.0], [15118, 1.0], [15119, 1.0], + [15120, 1.0], [15121, 1.0], [15122, 1.0], [15123, 1.0], + [15124, 1.0], [15125, 1.0], [15126, 1.0], [15127, 1.0], + [15746, 0.002], [16437, 0.002], [16438, 0.002], [16548, 0.002], + [16549, 0.001], [16551, 0.001], [16552, 0.002], [16553, 0.004], + [16554, 0.003], [16556, 0.003], [16557, 0.004], [16558, 0.009], + [16559, 0.005], [16560, 0.002], [16561, 0.008], [16562, 0.011], + [16563, 0.017], [16564, 0.013], [16565, 0.006], [16566, 0.013], + [16567, 0.016], [16568, 0.028], [16569, 0.021], [16570, 0.013], + [16578, 0.005], [16579, 0.011], [16580, 0.012], [16581, 0.011], + [16582, 0.011], [16583, 0.026], [16584, 0.028], [16585, 0.025], + [16586, 0.021], [16587, 0.037], [16588, 0.041], [16589, 0.041], + [16590, 0.03], [16591, 0.004], [16592, 0.004], [16593, 0.004], + [16594, 0.007], [16595, 0.007], [16596, 0.007], [16597, 0.014], + [16598, 0.014], [16599, 0.012], [16600, 0.026], [16601, 0.024], + [16602, 0.023], [16603, 0.039], [16604, 0.038], [16605, 0.032], + [17062, 0.002], [17768, 0.002], [17769, 0.002], [17885, 0.002], + [17886, 0.001], [17889, 0.001], [17890, 0.002], [17891, 0.004], + [17892, 0.003], [17894, 0.002], [17895, 0.003], [17896, 0.004], + [17897, 0.009], [17898, 0.005], [17899, 0.002], [17900, 0.005], + [17901, 0.008], [17902, 0.011], [17903, 0.017], [17904, 0.013], + [17905, 0.006], [17906, 0.013], [17907, 0.013], [17908, 0.016], + [17909, 0.028], [17910, 0.021], [17911, 0.013], [17912, 0.003], + [17917, 0.007], [17921, 0.005], [17922, 0.017], [17923, 0.011], + [17924, 0.012], [17925, 0.011], [17926, 0.011], [17927, 0.031], + [17928, 0.026], [17929, 0.028], [17930, 0.025], [17931, 0.021], + [17932, 0.042], [17933, 0.037], [17934, 0.041], [17935, 0.041], + [17936, 0.03], [17937, 0.004], [17938, 0.004], [17939, 0.004], + [17940, 0.007], [17941, 0.007], [17942, 0.007], [17943, 0.014], + [17944, 0.014], [17945, 0.012], [17946, 0.026], [17947, 0.024], + [17948, 0.023], [17949, 0.039], [17950, 0.038], [17951, 0.032], + [18722, 1.0], [18723, 1.0], [18724, 1.0], [18725, 1.0], + [18726, 1.0], [18727, 1.0], [18728, 1.0], [18729, 1.0], + [18730, 1.0], [18731, 1.0], [18732, 1.0], [18733, 1.0], + [18734, 1.0], [18735, 1.0], [18736, 1.0], [18737, 1.0], + [18738, 1.0], [18739, 1.0], [18740, 1.0], [18741, 1.0], + [18742, 1.0], [18743, 1.0], [18744, 1.0], [18745, 1.0], + [18746, 1.0], [18747, 1.0], [18748, 1.0], [18749, 1.0], + [18750, 1.0], [18751, 1.0], [18752, 1.0], [18753, 1.0], + [18754, 1.0], [18755, 1.0], [18756, 1.0], [18757, 1.0], + [18758, 1.0], [18759, 1.0], [18760, 1.0], [18761, 1.0], + [18762, 1.0], [18763, 1.0], [18764, 1.0], [18765, 1.0], + [18766, 1.0], [18767, 1.0], [18768, 1.0], [18769, 1.0], + [18770, 0.854], [18771, 0.751], [18772, 0.636], [18773, 0.38], + [18774, 0.318], [18775, 0.19], [18776, 0.067], [18777, 0.041], + [18790, 1.0], [18791, 1.0], [18792, 1.0], [18793, 1.0], + [18794, 1.0], [18795, 1.0], [18796, 1.0], [18797, 1.0], + [18798, 1.0], [18799, 1.0], [18800, 1.0], [18801, 1.0], + [18802, 1.0], [18803, 1.0], [18804, 1.0], [18805, 0.85], + [18806, 1.0], [18807, 1.0], [18808, 1.0], [18809, 1.0], + [18810, 1.0], [18811, 1.0], [18812, 1.0], [18813, 1.0], + [18814, 1.0], [18815, 1.0], [18816, 1.0], [18817, 1.0], + [18818, 0.864], [18819, 0.83], [18820, 0.66], [18821, 0.614], + [18822, 0.456], [18823, 0.398], [18824, 0.244], [18825, 0.229], + [18826, 0.087], [18827, 0.076], [18840, 1.0], [18841, 1.0], + [18842, 1.0], [18843, 1.0], [18844, 1.0], [18845, 1.0], + [18846, 1.0], [18847, 1.0], [18848, 1.0], [18849, 1.0], + [18850, 0.836], [18851, 0.827], [18852, 0.664], [18853, 0.637], + [18854, 0.456], [18855, 0.431], [18856, 0.095], [18857, 0.09], + [18872, 1.0], [18873, 1.0], [18874, 1.0], [18875, 1.0], + [18876, 1.0], [18877, 1.0], [18878, 1.0], [18879, 1.0], + [18880, 1.0], [18881, 1.0], [18882, 0.831], [18883, 0.84], + [18884, 0.505], [18885, 0.518], [18886, 0.326], [18887, 0.337], + [18888, 0.077], [18889, 0.138], [18904, 1.0], [18905, 1.0], + [18906, 1.0], [18907, 1.0], [18908, 1.0], [18909, 1.0], + [18910, 1.0], [18911, 1.0], [18912, 1.0], [18913, 1.0], + [18914, 0.842], [18915, 0.839], [18916, 0.602], [18917, 0.597], + [18918, 0.4], [18919, 0.395], [18920, 0.083], [18921, 0.083], + [18936, 1.0], [18937, 1.0], [18938, 1.0], [18939, 1.0], + [18940, 1.0], [18941, 1.0], [18942, 1.0], [18943, 1.0], + [18944, 1.0], [18945, 1.0], [18946, 1.0], [18947, 1.0], + [18948, 1.0], [18949, 1.0], [18950, 1.0], [18951, 1.0], + [18952, 1.0], [18953, 1.0], [18954, 1.0], [18955, 1.0], + [18956, 1.0], [18957, 1.0], [18958, 1.0], [18959, 1.0], + [18960, 1.0], [18961, 1.0], [18962, 1.0], [18963, 1.0], + [18964, 1.0], [18965, 1.0], [18966, 1.0], [18967, 1.0], + [18968, 1.0], [18969, 1.0], [18970, 1.0], [18971, 1.0], + [18972, 1.0], [18973, 1.0], [18974, 1.0], [18975, 1.0], + [18976, 1.0], [18977, 1.0], [18978, 1.0], [18979, 1.0], + [18980, 1.0], [18981, 1.0], [18982, 1.0], [18983, 1.0], + [18984, 0.854], [18985, 0.751], [18986, 0.636], [18987, 0.38], + [18988, 0.318], [18989, 0.19], [18990, 0.067], [18991, 0.041], + [19004, 1.0], [19005, 1.0], [19006, 1.0], [19007, 1.0], + [19008, 1.0], [19009, 1.0], [19010, 1.0], [19011, 1.0], + [19012, 1.0], [19013, 1.0], [19014, 1.0], [19015, 1.0], + [19016, 1.0], [19017, 1.0], [19018, 1.0], [19019, 0.85], + [19020, 1.0], [19021, 1.0], [19022, 1.0], [19023, 1.0], + [19024, 1.0], [19025, 1.0], [19026, 1.0], [19027, 1.0], + [19028, 1.0], [19029, 1.0], [19030, 1.0], [19031, 1.0], + [19032, 0.864], [19033, 0.83], [19034, 0.66], [19035, 0.614], + [19036, 0.456], [19037, 0.398], [19038, 0.244], [19039, 0.229], + [19040, 0.087], [19041, 0.076], [19054, 1.0], [19055, 1.0], + [19056, 1.0], [19057, 1.0], [19058, 1.0], [19059, 1.0], + [19060, 1.0], [19061, 1.0], [19062, 1.0], [19063, 1.0], + [19064, 0.836], [19065, 0.827], [19066, 0.664], [19067, 0.637], + [19068, 0.456], [19069, 0.431], [19070, 0.095], [19071, 0.09], + [19086, 1.0], [19087, 1.0], [19088, 1.0], [19089, 1.0], + [19090, 1.0], [19091, 1.0], [19092, 1.0], [19093, 1.0], + [19094, 1.0], [19095, 1.0], [19096, 0.831], [19097, 0.84], + [19098, 0.505], [19099, 0.518], [19100, 0.326], [19101, 0.337], + [19102, 0.077], [19103, 0.138], [19118, 1.0], [19119, 1.0], + [19120, 1.0], [19121, 1.0], [19122, 1.0], [19123, 1.0], + [19124, 1.0], [19125, 1.0], [19126, 1.0], [19127, 1.0], + [19128, 0.842], [19129, 0.839], [19130, 0.602], [19131, 0.597], + [19132, 0.4], [19133, 0.395], [19134, 0.083], [19135, 0.083] + ], + "jaw": [ + [268, 0.002], [269, 0.058], [270, 0.156], [361, 0.009], + [368, 0.001], [369, 0.006], [370, 0.05], [371, 0.035], + [373, 0.02], [378, 0.002], [379, 0.012], [380, 0.017], + [399, 0.053], [400, 0.097], [401, 0.174], [402, 0.003], + [403, 0.004], [404, 0.01], [405, 0.017], [406, 0.025], + [422, 0.001], [423, 0.002], [440, 0.009], [441, 0.005], + [478, 0.013], [479, 0.242], [480, 0.035], [484, 0.018], + [485, 0.275], [486, 0.047], [490, 0.024], [491, 0.275], + [492, 0.047], [496, 0.024], [543, 0.011], [544, 0.019], + [545, 0.001], [546, 0.06], [547, 0.073], [551, 0.103], + [552, 0.097], [553, 0.086], [557, 0.102], [560, 0.022], + [561, 0.037], [562, 0.002], [563, 0.119], [564, 0.146], + [568, 0.206], [569, 0.194], [570, 0.172], [574, 0.195], + [575, 0.001], [577, 0.044], [578, 0.072], [579, 0.004], + [580, 0.232], [581, 0.273], [585, 0.339], [586, 0.335], + [587, 0.313], [591, 0.34], [594, 0.125], [595, 0.208], + [596, 0.016], [597, 0.427], [598, 0.556], [602, 0.604], + [603, 0.596], [604, 0.59], [608, 0.604], [611, 0.156], + [612, 0.278], [613, 0.024], [614, 0.581], [615, 0.751], + [619, 0.797], [620, 0.795], [621, 0.785], [625, 0.797], + [628, 0.078], [629, 0.139], [630, 0.012], [631, 0.29], + [632, 0.376], [636, 0.739], [637, 0.65], [638, 0.528], + [642, 0.74], [645, 0.039], [646, 0.069], [647, 0.006], + [648, 0.145], [649, 0.188], [653, 0.384], [654, 0.334], + [655, 0.268], [659, 0.384], [670, 0.025], [671, 0.02], + [672, 0.009], [676, 0.025], [711, 0.008], [712, 0.038], + [721, 0.198], [722, 0.301], [723, 0.348], [724, 0.347], + [725, 0.042], [726, 0.884], [727, 0.887], [728, 0.437], + [729, 0.054], [730, 0.065], [731, 0.518], [732, 0.886], + [733, 0.517], [734, 0.306], [735, 0.336], [736, 0.359], + [737, 0.675], [738, 0.194], [739, 0.342], [740, 0.443], + [741, 0.607], [742, 0.67], [743, 0.808], [744, 0.881], + [745, 0.185], [746, 0.874], [747, 0.884], [748, 0.146], + [749, 0.144], [750, 0.114], [751, 0.102], [752, 0.083], + [753, 0.068], [754, 0.056], [755, 0.041], [756, 0.034], + [757, 0.019], [758, 0.015], [759, 0.007], [760, 0.006], + [761, 0.329], [762, 0.266], [763, 0.255], [764, 0.206], + [765, 0.181], [766, 0.146], [767, 0.12], [768, 0.097], + [769, 0.071], [770, 0.058], [771, 0.032], [772, 0.026], + [773, 0.013], [774, 0.01], [775, 0.406], [776, 0.149], + [777, 0.089], [778, 0.04], [779, 0.016], [780, 0.881], + [781, 0.569], [782, 0.55], [783, 0.569], [784, 0.492], + [785, 0.442], [786, 0.425], [787, 0.442], [788, 0.382], + [789, 0.316], [790, 0.3], [791, 0.316], [792, 0.272], + [793, 0.21], [794, 0.191], [795, 0.198], [796, 0.021], + [797, 0.21], [798, 0.181], [799, 0.125], [800, 0.113], + [801, 0.118], [802, 0.053], [803, 0.125], [804, 0.107], + [805, 0.057], [806, 0.052], [807, 0.053], [808, 0.116], + [809, 0.057], [810, 0.049], [811, 0.023], [812, 0.021], + [813, 0.021], [814, 0.196], [815, 0.023], [816, 0.02], + [866, 0.01], [867, 0.003], [868, 0.014], [869, 0.09], + [884, 0.025], [891, 0.86], [892, 0.756], [893, 0.703], + [894, 0.484], [895, 0.389], [897, 0.116], [898, 0.142], + [910, 0.263], [911, 0.195], [912, 0.292], [913, 0.882], + [914, 0.89], [915, 0.725], [916, 0.88], [917, 0.835], + [918, 0.879], [919, 0.886], [920, 0.89], [921, 0.908], + [922, 0.922], [923, 0.53], [924, 0.409], [925, 0.421], + [926, 0.544], [927, 0.432], [928, 0.158], [929, 0.094], + [930, 0.043], [931, 0.017], [989, 0.774], [990, 0.766], + [991, 0.774], [993, 0.771], [994, 0.773], [995, 0.7], + [996, 0.178], [997, 0.2], [998, 0.316], [999, 0.523], + [1000, 0.578], [1001, 0.398], [1033, 0.315], [1034, 0.336], + [1035, 0.225], [1036, 0.239], [1037, 0.289], [1038, 0.297], + [1386, 0.001], [1396, 0.002], [1454, 0.002], [1460, 0.01], + [1461, 0.011], [1462, 0.009], [1463, 0.008], [1464, 0.007], + [1483, 0.002], [1484, 0.002], [1504, 0.003], [1505, 0.004], + [1510, 0.011], [1511, 0.01], [1512, 0.005], [1518, 0.004], + [1519, 0.003], [1520, 0.003], [1521, 0.012], [1522, 0.012], + [1523, 0.006], [3687, 0.009], [3688, 0.019], [3689, 0.046], + [3690, 0.101], [3691, 0.17], [3692, 0.256], [3693, 0.359], + [3694, 0.462], [3695, 0.64], [3696, 0.74], [3697, 0.808], + [3698, 0.78], [3699, 0.091], [3700, 0.044], [3701, 0.038], + [3702, 0.007], [3703, 0.003], [3710, 0.047], [3711, 0.093], + [3712, 0.183], [3713, 0.333], [3714, 0.437], [3715, 0.218], + [3716, 0.109], [3723, 0.023], [3724, 0.045], [3725, 0.09], + [3726, 0.071], [3727, 0.024], [3728, 0.012], [3729, 0.006], + [3737, 0.002], [3738, 0.007], [3739, 0.023], [5092, 0.076], + [5098, 0.024], [5140, 0.037], [5142, 0.09], [5143, 0.059], + [5144, 0.038], [5145, 0.014], [5149, 0.022], [5153, 0.084], + [5154, 0.09], [5155, 0.06], [5156, 0.091], [5157, 0.667], + [5158, 0.571], [5159, 0.444], [5160, 0.272], [5161, 0.233], + [5162, 0.667], [5163, 0.185], [5164, 0.136], [5165, 0.53], + [5166, 0.665], [5167, 0.742], [5168, 0.793], [5169, 0.308], + [5170, 0.384], [5171, 0.793], [5172, 0.458], [5173, 0.146], + [5174, 0.229], [5177, 0.066], [5180, 0.039], [5183, 0.019], + [5186, 0.014], [5201, 0.036], [5203, 0.048], [5204, 0.097], + [5205, 0.164], [5206, 0.224], [5207, 0.157], [5208, 0.21], + [5210, 0.392], [5211, 0.753], [5212, 0.218], [5213, 0.564], + [5214, 0.753], [5215, 0.67], [5216, 0.28], [5217, 0.339], + [5218, 0.102], [5220, 0.825], [5221, 0.785], [5222, 0.734], + [5223, 0.634], [5224, 0.543], [5225, 0.825], [5226, 0.449], + [5227, 0.355], [5228, 0.259], [5235, 0.03], [5236, 0.003], + [5238, 0.164], [5240, 0.559], [5241, 0.455], [5242, 0.302], + [5246, 0.052], [5288, 0.058], [5289, 0.062], [5290, 0.162], + [5291, 0.866], [5292, 0.845], [5293, 0.834], [5294, 0.788], + [5295, 0.723], [5296, 0.866], [5297, 0.637], [5298, 0.552], + [5299, 0.464], [5300, 0.287], [5301, 0.11], [5335, 0.071], + [5336, 0.094], [5337, 0.094], [5338, 0.014], [5339, 0.004], + [5723, 0.013], [5724, 0.008], [5726, 0.014], [5730, 0.011], + [5734, 0.007], [5737, 0.006], [5744, 0.016], [5746, 0.013], + [7037, 0.002], [7038, 0.058], [7039, 0.156], [7122, 0.009], + [7128, 0.001], [7129, 0.006], [7130, 0.05], [7131, 0.035], + [7133, 0.02], [7138, 0.002], [7139, 0.012], [7140, 0.017], + [7159, 0.053], [7160, 0.097], [7161, 0.174], [7162, 0.003], + [7163, 0.004], [7164, 0.01], [7165, 0.017], [7166, 0.025], + [7182, 0.001], [7183, 0.002], [7200, 0.009], [7201, 0.005], + [7233, 0.013], [7234, 0.242], [7235, 0.035], [7239, 0.018], + [7240, 0.275], [7241, 0.047], [7245, 0.024], [7286, 0.011], + [7287, 0.019], [7288, 0.001], [7289, 0.06], [7290, 0.073], + [7294, 0.103], [7295, 0.097], [7296, 0.086], [7301, 0.022], + [7302, 0.037], [7303, 0.002], [7304, 0.119], [7305, 0.146], + [7309, 0.206], [7310, 0.194], [7311, 0.172], [7314, 0.001], + [7316, 0.044], [7317, 0.072], [7318, 0.004], [7319, 0.232], + [7320, 0.273], [7324, 0.339], [7325, 0.335], [7326, 0.313], + [7331, 0.125], [7332, 0.208], [7333, 0.016], [7334, 0.427], + [7335, 0.556], [7339, 0.604], [7340, 0.596], [7341, 0.59], + [7346, 0.156], [7347, 0.278], [7348, 0.024], [7349, 0.581], + [7350, 0.751], [7354, 0.797], [7355, 0.795], [7356, 0.785], + [7361, 0.078], [7362, 0.139], [7363, 0.012], [7364, 0.29], + [7365, 0.376], [7369, 0.739], [7370, 0.65], [7371, 0.528], + [7376, 0.039], [7377, 0.069], [7378, 0.006], [7379, 0.145], + [7380, 0.188], [7384, 0.384], [7385, 0.334], [7386, 0.268], + [7399, 0.025], [7400, 0.02], [7401, 0.009], [7434, 0.008], + [7435, 0.038], [7444, 0.198], [7445, 0.301], [7446, 0.348], + [7447, 0.042], [7448, 0.884], [7449, 0.887], [7450, 0.437], + [7451, 0.054], [7452, 0.065], [7453, 0.518], [7454, 0.306], + [7455, 0.336], [7456, 0.359], [7457, 0.675], [7458, 0.194], + [7459, 0.342], [7460, 0.443], [7461, 0.607], [7462, 0.67], + [7463, 0.808], [7464, 0.881], [7465, 0.185], [7466, 0.874], + [7467, 0.146], [7468, 0.144], [7469, 0.114], [7470, 0.102], + [7471, 0.083], [7472, 0.068], [7473, 0.056], [7474, 0.041], + [7475, 0.034], [7476, 0.019], [7477, 0.015], [7478, 0.007], + [7479, 0.006], [7480, 0.329], [7481, 0.266], [7482, 0.255], + [7483, 0.206], [7484, 0.181], [7485, 0.146], [7486, 0.12], + [7487, 0.097], [7488, 0.071], [7489, 0.058], [7490, 0.032], + [7491, 0.026], [7492, 0.013], [7493, 0.01], [7494, 0.406], + [7495, 0.149], [7496, 0.089], [7497, 0.04], [7498, 0.016], + [7499, 0.569], [7500, 0.55], [7501, 0.492], [7502, 0.442], + [7503, 0.425], [7504, 0.382], [7505, 0.316], [7506, 0.3], + [7507, 0.272], [7508, 0.21], [7509, 0.191], [7510, 0.198], + [7511, 0.021], [7512, 0.181], [7513, 0.125], [7514, 0.113], + [7515, 0.118], [7516, 0.053], [7517, 0.107], [7518, 0.057], + [7519, 0.052], [7520, 0.053], [7521, 0.116], [7522, 0.049], + [7523, 0.023], [7524, 0.021], [7525, 0.021], [7526, 0.196], + [7527, 0.02], [7571, 0.01], [7572, 0.003], [7573, 0.014], + [7574, 0.09], [7586, 0.025], [7593, 0.86], [7594, 0.756], + [7595, 0.703], [7596, 0.484], [7597, 0.389], [7599, 0.116], + [7600, 0.142], [7612, 0.263], [7613, 0.195], [7614, 0.292], + [7615, 0.882], [7616, 0.89], [7617, 0.725], [7618, 0.88], + [7619, 0.835], [7620, 0.879], [7621, 0.886], [7622, 0.89], + [7623, 0.908], [7624, 0.922], [7625, 0.53], [7626, 0.409], + [7627, 0.421], [7628, 0.544], [7629, 0.432], [7630, 0.158], + [7631, 0.094], [7632, 0.043], [7633, 0.017], [7684, 0.774], + [7685, 0.766], [7687, 0.771], [7688, 0.773], [7689, 0.7], + [7690, 0.178], [7691, 0.2], [7692, 0.316], [7693, 0.523], + [7694, 0.578], [7695, 0.398], [7725, 0.315], [7726, 0.336], + [7727, 0.225], [7728, 0.239], [7729, 0.289], [7730, 0.297], + [8078, 0.001], [8088, 0.002], [8142, 0.002], [8148, 0.01], + [8149, 0.011], [8150, 0.009], [8151, 0.008], [8152, 0.007], + [8169, 0.002], [8170, 0.002], [8188, 0.003], [8189, 0.004], + [8194, 0.011], [8195, 0.01], [8196, 0.005], [8202, 0.004], + [8203, 0.003], [8204, 0.003], [8205, 0.012], [8206, 0.006], + [10355, 0.009], [10356, 0.019], [10357, 0.046], [10358, 0.101], + [10359, 0.17], [10360, 0.256], [10361, 0.359], [10362, 0.462], + [10363, 0.64], [10364, 0.74], [10365, 0.808], [10366, 0.78], + [10367, 0.091], [10368, 0.044], [10369, 0.038], [10370, 0.007], + [10371, 0.003], [10378, 0.047], [10379, 0.093], [10380, 0.183], + [10381, 0.333], [10382, 0.437], [10383, 0.218], [10384, 0.109], + [10391, 0.023], [10392, 0.045], [10393, 0.09], [10394, 0.071], + [10395, 0.024], [10396, 0.012], [10397, 0.006], [10405, 0.002], + [10406, 0.007], [10407, 0.023], [11707, 0.076], [11713, 0.024], + [11754, 0.037], [11756, 0.09], [11757, 0.059], [11758, 0.038], + [11759, 0.014], [11763, 0.022], [11767, 0.084], [11768, 0.09], + [11769, 0.06], [11770, 0.091], [11771, 0.667], [11772, 0.571], + [11773, 0.444], [11774, 0.272], [11775, 0.233], [11776, 0.185], + [11777, 0.136], [11778, 0.53], [11779, 0.665], [11780, 0.742], + [11781, 0.793], [11782, 0.308], [11783, 0.384], [11784, 0.458], + [11785, 0.146], [11786, 0.229], [11789, 0.066], [11792, 0.039], + [11795, 0.019], [11798, 0.014], [11812, 0.036], [11814, 0.048], + [11815, 0.097], [11816, 0.164], [11817, 0.224], [11818, 0.157], + [11819, 0.21], [11821, 0.392], [11822, 0.218], [11823, 0.564], + [11824, 0.753], [11825, 0.67], [11826, 0.28], [11827, 0.339], + [11828, 0.102], [11830, 0.825], [11831, 0.785], [11832, 0.734], + [11833, 0.634], [11834, 0.543], [11835, 0.449], [11836, 0.355], + [11837, 0.259], [11844, 0.03], [11845, 0.003], [11847, 0.164], + [11849, 0.559], [11850, 0.455], [11851, 0.302], [11854, 0.052], + [11894, 0.058], [11895, 0.062], [11896, 0.162], [11897, 0.866], + [11898, 0.845], [11899, 0.834], [11900, 0.788], [11901, 0.723], + [11902, 0.637], [11903, 0.552], [11904, 0.464], [11905, 0.287], + [11906, 0.11], [11939, 0.071], [11940, 0.094], [11941, 0.014], + [11942, 0.004], [12320, 0.013], [12321, 0.008], [12323, 0.014], + [12327, 0.011], [12331, 0.007], [12334, 0.006], [12341, 0.016], + [12343, 0.013], [13499, 0.016], [13599, 0.016], [14992, 1.0], + [14993, 1.0], [14994, 1.0], [14995, 1.0], [14996, 1.0], + [14997, 1.0], [14998, 1.0], [14999, 1.0], [15000, 1.0], + [15001, 1.0], [15002, 1.0], [15003, 1.0], [15004, 1.0], + [15005, 1.0], [15006, 1.0], [15007, 1.0], [15008, 1.0], + [15009, 1.0], [15010, 1.0], [15011, 1.0], [15012, 1.0], + [15013, 1.0], [15014, 1.0], [15015, 1.0], [15016, 1.0], + [15017, 1.0], [15018, 1.0], [15019, 1.0], [15020, 1.0], + [15021, 1.0], [15022, 1.0], [15023, 1.0], [15024, 1.0], + [15025, 1.0], [15026, 1.0], [15027, 1.0], [15028, 1.0], + [15029, 1.0], [15030, 1.0], [15031, 1.0], [15032, 1.0], + [15033, 1.0], [15034, 1.0], [15035, 1.0], [15036, 1.0], + [15037, 1.0], [15038, 1.0], [15039, 1.0], [15040, 1.0], + [15041, 1.0], [15042, 1.0], [15043, 1.0], [15044, 1.0], + [15045, 1.0], [15046, 1.0], [15047, 1.0], [15048, 1.0], + [15049, 1.0], [15050, 1.0], [15051, 1.0], [15052, 1.0], + [15053, 1.0], [15054, 1.0], [15055, 1.0], [15056, 1.0], + [15057, 1.0], [15058, 1.0], [15059, 1.0], [15577, 0.001], + [15748, 0.002], [16572, 0.003], [16574, 0.005], [16575, 0.01], + [16576, 0.006], [16577, 0.007], [16578, 0.015], [16579, 0.023], + [16580, 0.01], [16581, 0.017], [16582, 0.034], [16583, 0.045], + [16584, 0.016], [16585, 0.027], [16586, 0.062], [16587, 0.059], + [16588, 0.018], [16589, 0.035], [16590, 0.086], [16600, 0.01], + [16603, 0.009], [16881, 0.001], [17064, 0.002], [17912, 0.008], + [17914, 0.003], [17916, 0.005], [17917, 0.018], [17918, 0.01], + [17919, 0.006], [17920, 0.007], [17921, 0.015], [17922, 0.041], + [17923, 0.023], [17924, 0.01], [17925, 0.017], [17926, 0.034], + [17927, 0.072], [17928, 0.045], [17929, 0.016], [17930, 0.027], + [17931, 0.062], [17932, 0.098], [17933, 0.059], [17934, 0.018], + [17935, 0.035], [17936, 0.086], [17946, 0.01], [17949, 0.009] + ], + "levator05.L": [ + [491, 0.04], [492, 0.049], [493, 0.051], [494, 0.051], + [495, 0.051], [496, 0.05], [513, 0.051], [523, 0.052], + [540, 0.053], [557, 0.043], [568, 0.063], [574, 0.071], + [591, 0.034], [608, 0.024], [625, 0.012], [642, 0.006], + [659, 0.003], [724, 0.037], [732, 0.005], [733, 0.038], + [5162, 0.038], [5171, 0.024], [5211, 0.032], [5225, 0.021], + [5296, 0.009], [5337, 0.048], [6994, 0.004], [7077, 0.002], + [7116, 0.011], [7119, 0.016], [7120, 0.004], [7121, 0.008], + [7122, 0.515], [7123, 0.299], [7128, 0.409], [7129, 0.521], + [7130, 0.264], [7131, 0.341], [7132, 0.171], [7133, 0.419], + [7134, 0.159], [7135, 0.19], [7136, 0.281], [7137, 0.275], + [7138, 0.388], [7139, 0.502], [7140, 0.498], [7159, 0.414], + [7160, 0.326], [7161, 0.232], [7162, 0.528], [7163, 0.52], + [7164, 0.426], [7165, 0.347], [7166, 0.267], [7167, 0.423], + [7168, 0.312], [7169, 0.028], [7170, 0.108], [7171, 0.204], + [7172, 0.307], [7173, 0.209], [7174, 0.302], [7175, 0.215], + [7176, 0.281], [7177, 0.199], [7178, 0.265], [7179, 0.189], + [7180, 0.259], [7181, 0.193], [7182, 0.508], [7183, 0.504], + [7184, 0.407], [7185, 0.489], [7186, 0.489], [7187, 0.391], + [7188, 0.478], [7189, 0.474], [7190, 0.364], [7191, 0.442], + [7192, 0.444], [7193, 0.343], [7194, 0.409], [7195, 0.415], + [7196, 0.325], [7197, 0.327], [7198, 0.34], [7199, 0.344], + [7200, 0.345], [7201, 0.421], [7202, 0.417], [7203, 0.409], + [7204, 0.391], [7205, 0.373], [7206, 0.314], [7207, 0.119], + [7208, 0.129], [7209, 0.118], [7211, 0.028], [7212, 0.027], + [7213, 0.027], [7215, 0.013], [7216, 0.013], [7217, 0.014], + [7218, 0.014], [7225, 0.112], [7226, 0.027], [7227, 0.014], + [7230, 0.264], [7231, 0.272], [7232, 0.271], [7233, 0.269], + [7234, 0.147], [7235, 0.173], [7236, 0.179], [7237, 0.183], + [7238, 0.18], [7239, 0.177], [7240, 0.08], [7241, 0.097], + [7242, 0.102], [7243, 0.103], [7244, 0.101], [7245, 0.099], + [7246, 0.205], [7247, 0.288], [7248, 0.373], [7249, 0.506], + [7250, 0.492], [7251, 0.344], [7252, 0.416], [7253, 0.123], + [7254, 0.031], [7255, 0.015], [7258, 0.272], [7259, 0.183], + [7260, 0.102], [7261, 0.015], [7262, 0.032], [7263, 0.123], + [7264, 0.103], [7265, 0.176], [7266, 0.256], [7269, 0.234], + [7270, 0.178], [7271, 0.349], [7272, 0.362], [7273, 0.289], + [7274, 0.347], [7275, 0.304], [7276, 0.013], [7277, 0.031], + [7278, 0.112], [7279, 0.106], [7280, 0.182], [7281, 0.255], + [7284, 0.182], [7285, 0.135], [7286, 0.297], [7287, 0.315], + [7288, 0.232], [7289, 0.302], [7290, 0.258], [7291, 0.009], + [7292, 0.022], [7293, 0.083], [7294, 0.085], [7295, 0.14], + [7296, 0.214], [7299, 0.132], [7300, 0.093], [7301, 0.247], + [7302, 0.27], [7303, 0.176], [7304, 0.257], [7305, 0.222], + [7306, 0.005], [7307, 0.013], [7308, 0.056], [7309, 0.078], + [7310, 0.123], [7311, 0.187], [7314, 0.079], [7315, 0.051], + [7316, 0.197], [7317, 0.223], [7318, 0.119], [7319, 0.2], + [7320, 0.176], [7321, 0.002], [7322, 0.005], [7323, 0.028], + [7324, 0.068], [7325, 0.102], [7326, 0.152], [7329, 0.04], + [7330, 0.025], [7331, 0.115], [7332, 0.14], [7333, 0.059], + [7334, 0.153], [7335, 0.153], [7336, 0.001], [7337, 0.003], + [7338, 0.014], [7339, 0.048], [7340, 0.076], [7341, 0.117], + [7344, 0.02], [7345, 0.013], [7346, 0.058], [7347, 0.07], + [7348, 0.03], [7349, 0.076], [7350, 0.077], [7352, 0.001], + [7353, 0.007], [7354, 0.024], [7355, 0.038], [7356, 0.059], + [7359, 0.01], [7360, 0.006], [7361, 0.029], [7362, 0.035], + [7363, 0.015], [7364, 0.038], [7365, 0.038], [7368, 0.004], + [7369, 0.012], [7370, 0.019], [7371, 0.029], [7374, 0.005], + [7375, 0.003], [7376, 0.014], [7377, 0.017], [7378, 0.007], + [7379, 0.019], [7380, 0.019], [7383, 0.002], [7384, 0.006], + [7385, 0.009], [7386, 0.015], [7434, 0.385], [7435, 0.48], + [7444, 0.212], [7445, 0.127], [7446, 0.074], [7447, 0.47], + [7450, 0.132], [7451, 0.43], [7452, 0.332], [7453, 0.077], + [7454, 0.219], [7455, 0.06], [7456, 0.029], [7457, 0.095], + [7599, 0.419], [7600, 0.349], [7602, 0.313], [7616, 0.027], + [7617, 0.084], [7618, 0.044], [7619, 0.06], [7620, 0.016], + [7621, 0.009], [10366, 0.072], [10367, 0.436], [10368, 0.457], + [10369, 0.456], [10370, 0.473], [10371, 0.463], [10372, 0.453], + [10373, 0.453], [10374, 0.441], [10375, 0.417], [10376, 0.393], + [10377, 0.354], [10378, 0.306], [10379, 0.258], [10380, 0.2], + [10381, 0.14], [10382, 0.07], [10383, 0.035], [10384, 0.018], + [10391, 0.011], [10392, 0.022], [10393, 0.044], [10394, 0.087], + [10395, 0.158], [10396, 0.211], [10397, 0.264], [10398, 0.318], + [10399, 0.365], [10400, 0.391], [10401, 0.419], [10402, 0.437], + [10403, 0.441], [10404, 0.459], [10405, 0.477], [10406, 0.447], + [10407, 0.441], [11667, 0.021], [11681, 0.016], [11682, 0.008], + [11683, 0.054], [11684, 0.089], [11688, 0.011], [11690, 0.114], + [11748, 0.007], [11749, 0.021], [11750, 0.062], [11751, 0.08], + [11752, 0.005], [11753, 0.023], [11754, 0.312], [11755, 0.231], + [11756, 0.451], [11757, 0.469], [11758, 0.437], [11759, 0.384], + [11760, 0.063], [11761, 0.033], [11762, 0.061], [11763, 0.395], + [11764, 0.04], [11765, 0.055], [11766, 0.027], [11767, 0.064], + [11768, 0.031], [11769, 0.445], [11770, 0.458], [11771, 0.077], + [11772, 0.132], [11773, 0.219], [11774, 0.346], [11775, 0.408], + [11776, 0.427], [11777, 0.447], [11778, 0.215], [11779, 0.135], + [11780, 0.082], [11781, 0.048], [11782, 0.286], [11783, 0.27], + [11784, 0.255], [11785, 0.282], [11786, 0.296], [11817, 0.03], + [11818, 0.383], [11819, 0.062], [11821, 0.28], [11822, 0.375], + [11823, 0.177], [11824, 0.063], [11825, 0.107], [11826, 0.357], + [11827, 0.34], [11828, 0.364], [11830, 0.042], [11831, 0.072], + [11832, 0.12], [11833, 0.191], [11834, 0.23], [11835, 0.242], + [11836, 0.253], [11837, 0.257], [11849, 0.037], [11850, 0.017], + [11866, 0.287], [11892, 0.187], [11893, 0.164], [11894, 0.268], + [11895, 0.218], [11896, 0.238], [11897, 0.019], [11898, 0.032], + [11899, 0.055], [11900, 0.091], [11901, 0.119], [11902, 0.116], + [11903, 0.112], [11904, 0.101], [11905, 0.116], [11906, 0.13], + [11907, 0.104], [11909, 0.03], [11910, 0.014], [11925, 0.222], + [11926, 0.156], [11927, 0.04], [11928, 0.02], [11934, 0.184], + [11935, 0.097], [11936, 0.124], [11937, 0.072], [11938, 0.023], + [11939, 0.171], [11940, 0.096], [11941, 0.464], [11942, 0.463], + [11943, 0.097], [11944, 0.074], [11947, 0.009], [11948, 0.019], + [11949, 0.005], [11950, 0.01], [11951, 0.021], [11952, 0.032], + [11953, 0.041], [11954, 0.042], [11955, 0.04], [11956, 0.039], + [11959, 0.001], [11960, 0.003], [11961, 0.043], [11962, 0.043], + [11963, 0.041], [11964, 0.04], [11965, 0.034], [11966, 0.036], + [13540, 0.03] + ], + "levator05.R": [ + [219, 0.004], [314, 0.002], [355, 0.011], [358, 0.016], + [359, 0.004], [360, 0.008], [361, 0.515], [363, 0.299], + [368, 0.409], [369, 0.521], [370, 0.264], [371, 0.341], + [372, 0.171], [373, 0.419], [374, 0.159], [375, 0.19], + [376, 0.281], [377, 0.275], [378, 0.388], [379, 0.502], + [380, 0.498], [399, 0.414], [400, 0.326], [401, 0.232], + [402, 0.528], [403, 0.52], [404, 0.426], [405, 0.347], + [406, 0.267], [407, 0.423], [408, 0.312], [409, 0.028], + [410, 0.108], [411, 0.204], [412, 0.307], [413, 0.209], + [414, 0.302], [415, 0.215], [416, 0.281], [417, 0.199], + [418, 0.265], [419, 0.189], [420, 0.259], [421, 0.193], + [422, 0.508], [423, 0.504], [424, 0.407], [425, 0.489], + [426, 0.489], [427, 0.391], [428, 0.478], [429, 0.474], + [430, 0.364], [431, 0.442], [432, 0.444], [433, 0.343], + [434, 0.409], [435, 0.415], [436, 0.325], [437, 0.327], + [438, 0.34], [439, 0.344], [440, 0.345], [441, 0.421], + [442, 0.417], [443, 0.409], [444, 0.391], [445, 0.373], + [446, 0.314], [447, 0.119], [448, 0.129], [449, 0.118], + [451, 0.028], [452, 0.027], [453, 0.027], [456, 0.013], + [457, 0.013], [458, 0.014], [459, 0.014], [469, 0.112], + [470, 0.027], [471, 0.014], [475, 0.264], [476, 0.272], + [477, 0.271], [478, 0.269], [479, 0.147], [480, 0.173], + [481, 0.179], [482, 0.183], [483, 0.18], [484, 0.177], + [485, 0.08], [486, 0.097], [487, 0.102], [488, 0.103], + [489, 0.101], [490, 0.099], [491, 0.04], [492, 0.049], + [493, 0.051], [494, 0.051], [495, 0.051], [496, 0.05], + [497, 0.205], [498, 0.288], [499, 0.373], [500, 0.506], + [501, 0.492], [502, 0.344], [503, 0.416], [504, 0.123], + [505, 0.031], [506, 0.015], [510, 0.272], [511, 0.183], + [512, 0.102], [513, 0.051], [514, 0.015], [515, 0.032], + [516, 0.123], [517, 0.103], [518, 0.176], [519, 0.256], + [523, 0.052], [524, 0.234], [525, 0.178], [526, 0.349], + [527, 0.362], [528, 0.289], [529, 0.347], [530, 0.304], + [531, 0.013], [532, 0.031], [533, 0.112], [534, 0.106], + [535, 0.182], [536, 0.255], [540, 0.053], [541, 0.182], + [542, 0.135], [543, 0.297], [544, 0.315], [545, 0.232], + [546, 0.302], [547, 0.258], [548, 0.009], [549, 0.022], + [550, 0.083], [551, 0.085], [552, 0.14], [553, 0.214], + [557, 0.043], [558, 0.132], [559, 0.093], [560, 0.247], + [561, 0.27], [562, 0.176], [563, 0.257], [564, 0.222], + [565, 0.005], [566, 0.013], [567, 0.056], [568, 0.078], + [569, 0.123], [570, 0.187], [574, 0.071], [575, 0.079], + [576, 0.051], [577, 0.197], [578, 0.223], [579, 0.119], + [580, 0.2], [581, 0.176], [582, 0.002], [583, 0.005], + [584, 0.028], [585, 0.068], [586, 0.102], [587, 0.152], + [591, 0.034], [592, 0.04], [593, 0.025], [594, 0.115], + [595, 0.14], [596, 0.059], [597, 0.153], [598, 0.153], + [599, 0.001], [600, 0.003], [601, 0.014], [602, 0.048], + [603, 0.076], [604, 0.117], [608, 0.024], [609, 0.02], + [610, 0.013], [611, 0.058], [612, 0.07], [613, 0.03], + [614, 0.076], [615, 0.077], [617, 0.001], [618, 0.007], + [619, 0.024], [620, 0.038], [621, 0.059], [625, 0.012], + [626, 0.01], [627, 0.006], [628, 0.029], [629, 0.035], + [630, 0.015], [631, 0.038], [632, 0.038], [635, 0.004], + [636, 0.012], [637, 0.019], [638, 0.029], [642, 0.006], + [643, 0.005], [644, 0.003], [645, 0.014], [646, 0.017], + [647, 0.007], [648, 0.019], [649, 0.019], [652, 0.002], + [653, 0.006], [654, 0.009], [655, 0.015], [659, 0.003], + [711, 0.385], [712, 0.48], [721, 0.212], [722, 0.127], + [723, 0.074], [724, 0.037], [725, 0.47], [728, 0.132], + [729, 0.43], [730, 0.332], [731, 0.077], [732, 0.005], + [733, 0.038], [734, 0.219], [735, 0.06], [736, 0.029], + [737, 0.095], [897, 0.419], [898, 0.349], [900, 0.313], + [914, 0.027], [915, 0.084], [916, 0.044], [917, 0.06], + [918, 0.016], [919, 0.009], [3698, 0.072], [3699, 0.436], + [3700, 0.457], [3701, 0.456], [3702, 0.473], [3703, 0.463], + [3704, 0.453], [3705, 0.453], [3706, 0.441], [3707, 0.417], + [3708, 0.393], [3709, 0.354], [3710, 0.306], [3711, 0.258], + [3712, 0.2], [3713, 0.14], [3714, 0.07], [3715, 0.035], + [3716, 0.018], [3723, 0.011], [3724, 0.022], [3725, 0.044], + [3726, 0.087], [3727, 0.158], [3728, 0.211], [3729, 0.264], + [3730, 0.318], [3731, 0.365], [3732, 0.391], [3733, 0.419], + [3734, 0.437], [3735, 0.441], [3736, 0.459], [3737, 0.477], + [3738, 0.447], [3739, 0.441], [5049, 0.021], [5065, 0.016], + [5066, 0.008], [5067, 0.054], [5068, 0.089], [5073, 0.011], + [5075, 0.114], [5133, 0.007], [5135, 0.021], [5136, 0.062], + [5137, 0.08], [5138, 0.005], [5139, 0.023], [5140, 0.312], + [5141, 0.231], [5142, 0.451], [5143, 0.469], [5144, 0.437], + [5145, 0.384], [5146, 0.063], [5147, 0.033], [5148, 0.061], + [5149, 0.395], [5150, 0.04], [5151, 0.055], [5152, 0.027], + [5153, 0.064], [5154, 0.031], [5155, 0.445], [5156, 0.458], + [5157, 0.077], [5158, 0.132], [5159, 0.219], [5160, 0.346], + [5161, 0.408], [5162, 0.038], [5163, 0.427], [5164, 0.447], + [5165, 0.215], [5166, 0.135], [5167, 0.082], [5168, 0.048], + [5169, 0.286], [5170, 0.27], [5171, 0.024], [5172, 0.255], + [5173, 0.282], [5174, 0.296], [5206, 0.03], [5207, 0.383], + [5208, 0.062], [5210, 0.28], [5211, 0.032], [5212, 0.375], + [5213, 0.177], [5214, 0.063], [5215, 0.107], [5216, 0.357], + [5217, 0.34], [5218, 0.364], [5220, 0.042], [5221, 0.072], + [5222, 0.12], [5223, 0.191], [5224, 0.23], [5225, 0.021], + [5226, 0.242], [5227, 0.253], [5228, 0.257], [5240, 0.037], + [5241, 0.017], [5258, 0.287], [5286, 0.187], [5287, 0.164], + [5288, 0.268], [5289, 0.218], [5290, 0.238], [5291, 0.019], + [5292, 0.032], [5293, 0.055], [5294, 0.091], [5295, 0.119], + [5296, 0.009], [5297, 0.116], [5298, 0.112], [5299, 0.101], + [5300, 0.116], [5301, 0.13], [5302, 0.104], [5304, 0.03], + [5305, 0.014], [5321, 0.222], [5322, 0.156], [5323, 0.04], + [5324, 0.02], [5330, 0.184], [5331, 0.097], [5332, 0.124], + [5333, 0.072], [5334, 0.023], [5335, 0.171], [5336, 0.096], + [5337, 0.048], [5338, 0.464], [5339, 0.463], [5340, 0.097], + [5341, 0.074], [5345, 0.009], [5346, 0.019], [5347, 0.005], + [5348, 0.01], [5349, 0.021], [5350, 0.032], [5351, 0.041], + [5352, 0.042], [5353, 0.04], [5354, 0.039], [5357, 0.001], + [5358, 0.003], [5359, 0.043], [5360, 0.043], [5361, 0.041], + [5362, 0.04], [5363, 0.034], [5364, 0.036], [7309, 0.063], + [13440, 0.03] + ], + "levator06.L": [ + [131, 0.007], [164, 0.048], [201, 0.116], [291, 0.19], + [294, 0.251], [297, 0.175], [302, 0.141], [307, 0.166], + [312, 0.081], [317, 0.068], [343, 0.029], [541, 0.015], + [542, 0.014], [543, 0.004], [550, 0.013], [558, 0.02], + [559, 0.022], [560, 0.005], [567, 0.022], [575, 0.031], + [576, 0.037], [577, 0.006], [578, 0.004], [584, 0.038], + [592, 0.023], [593, 0.027], [594, 0.012], [595, 0.006], + [601, 0.029], [605, 0.014], [606, 0.014], [607, 0.024], + [609, 0.015], [610, 0.017], [611, 0.006], [616, 0.005], + [617, 0.006], [618, 0.016], [622, 0.008], [623, 0.008], + [624, 0.014], [626, 0.008], [627, 0.009], [628, 0.003], + [633, 0.002], [634, 0.003], [635, 0.009], [639, 0.004], + [640, 0.004], [641, 0.007], [643, 0.004], [644, 0.004], + [645, 0.002], [650, 0.001], [651, 0.002], [652, 0.004], + [656, 0.002], [657, 0.002], [658, 0.004], [5054, 0.19], + [5063, 0.014], [5072, 0.023], [5134, 0.24], [5356, 0.001], + [5357, 0.003], [5358, 0.005], [5429, 0.089], [5432, 0.031], + [5723, 0.024], [5734, 0.007], [5740, 0.009], [5762, 0.009], + [6903, 0.028], [6909, 0.014], [6939, 0.471], [6940, 0.163], + [6941, 0.096], [6958, 0.086], [6960, 0.515], [6973, 0.629], + [6974, 0.531], [6975, 0.343], [6976, 0.232], [6977, 0.613], + [6978, 0.697], [6989, 0.054], [7043, 0.883], [7044, 0.845], + [7045, 0.868], [7046, 0.852], [7047, 0.821], [7048, 0.73], + [7049, 0.929], [7050, 0.784], [7051, 0.933], [7052, 0.786], + [7053, 0.9], [7054, 0.631], [7055, 0.836], [7056, 0.98], + [7057, 0.857], [7058, 0.517], [7059, 0.38], [7060, 0.723], + [7061, 0.503], [7062, 0.676], [7063, 0.35], [7064, 0.63], + [7065, 0.483], [7066, 0.654], [7067, 0.282], [7068, 0.463], + [7069, 0.201], [7070, 0.267], [7071, 0.333], [7072, 0.466], + [7073, 0.205], [7074, 0.124], [7075, 0.153], [7076, 0.511], + [7077, 0.279], [7078, 0.121], [7079, 0.134], [7080, 0.865], + [7081, 0.946], [7082, 0.911], [7083, 0.993], [7084, 0.986], + [7085, 0.963], [7086, 0.975], [7087, 0.965], [7088, 0.947], + [7089, 0.91], [7090, 0.63], [7091, 0.529], [7092, 0.711], + [7093, 0.803], [7094, 0.846], [7095, 0.72], [7096, 0.875], + [7097, 0.957], [7098, 0.932], [7099, 0.856], [7100, 0.938], + [7101, 0.935], [7102, 0.908], [7103, 0.098], [7104, 0.09], + [7105, 0.961], [7106, 0.997], [7107, 0.978], [7108, 0.977], + [7109, 0.955], [7110, 0.883], [7111, 0.875], [7112, 0.885], + [7113, 0.872], [7114, 0.942], [7115, 0.95], [7119, 0.706], + [7120, 0.388], [7121, 0.468], [7124, 0.977], [7125, 0.989], + [7126, 0.994], [7127, 0.967], [7132, 0.148], [7134, 0.058], + [7136, 0.087], [7137, 0.036], [7138, 0.019], [7141, 0.98], + [7142, 1.0], [7143, 0.982], [7144, 0.988], [7145, 0.982], + [7146, 0.986], [7147, 1.0], [7148, 0.878], [7149, 0.91], + [7150, 0.988], [7151, 0.974], [7152, 1.0], [7153, 1.0], + [7154, 0.959], [7155, 1.0], [7156, 1.0], [7157, 0.936], + [7158, 1.0], [7284, 0.006], [7285, 0.008], [7288, 0.002], + [7293, 0.009], [7299, 0.013], [7300, 0.017], [7303, 0.003], + [7308, 0.018], [7314, 0.025], [7315, 0.033], [7316, 0.002], + [7318, 0.006], [7323, 0.036], [7329, 0.048], [7330, 0.066], + [7331, 0.005], [7333, 0.021], [7336, 0.043], [7337, 0.072], + [7338, 0.085], [7342, 0.014], [7343, 0.024], [7344, 0.024], + [7345, 0.033], [7346, 0.003], [7348, 0.01], [7351, 0.026], + [7352, 0.036], [7353, 0.043], [7357, 0.008], [7358, 0.014], + [7359, 0.012], [7360, 0.017], [7361, 0.001], [7363, 0.005], + [7366, 0.013], [7367, 0.018], [7368, 0.021], [7372, 0.004], + [7373, 0.007], [7374, 0.006], [7375, 0.008], [7378, 0.003], + [7381, 0.006], [7382, 0.009], [7383, 0.011], [7387, 0.002], + [7388, 0.004], [7434, 0.044], [7601, 0.481], [7602, 0.182], + [7609, 0.132], [10391, 0.002], [10392, 0.003], [10393, 0.007], + [10394, 0.013], [10395, 0.004], [10396, 0.002], [10397, 0.001], + [10406, 0.006], [10407, 0.008], [11667, 0.147], [11668, 0.861], + [11669, 0.858], [11670, 0.379], [11671, 0.694], [11672, 0.933], + [11673, 0.895], [11674, 0.948], [11675, 0.169], [11676, 0.165], + [11679, 0.028], [11680, 0.054], [11683, 0.488], [11684, 0.421], + [11685, 0.839], [11686, 0.664], [11687, 0.045], [11688, 0.191], + [11689, 0.049], [11690, 0.518], [11703, 0.622], [11708, 0.797], + [11709, 0.943], [11710, 0.971], [11711, 0.955], [11746, 0.963], + [11749, 0.232], [11750, 0.569], [11751, 0.373], [11752, 0.139], + [11753, 0.766], [11754, 0.086], [11755, 0.179], [11758, 0.01], + [11759, 0.068], [11760, 0.632], [11761, 0.293], [11762, 0.252], + [11763, 0.087], [11764, 0.147], [11858, 0.329], [11859, 0.338], + [11860, 0.496], [11861, 0.273], [11862, 0.393], [11863, 0.173], + [11864, 0.288], [11865, 0.103], [11866, 0.14], [11892, 0.121], + [11893, 0.004], [11909, 0.032], [11925, 0.308], [11926, 0.28], + [11934, 0.239], [11935, 0.086], [11936, 0.193], [11944, 0.084], + [11949, 0.087], [11950, 0.017], [11951, 0.008], [11952, 0.004], + [11958, 0.011], [11959, 0.022], [11960, 0.044] + ], + "levator06.R": [ + [119, 0.028], [125, 0.014], [131, 0.007], [161, 0.471], + [162, 0.163], [163, 0.096], [164, 0.048], [182, 0.086], + [184, 0.515], [197, 0.629], [198, 0.531], [199, 0.343], + [200, 0.232], [201, 0.116], [202, 0.613], [203, 0.697], + [214, 0.054], [274, 0.883], [275, 0.845], [276, 0.868], + [277, 0.852], [278, 0.821], [279, 0.73], [280, 0.929], + [281, 0.784], [282, 0.933], [283, 0.786], [284, 0.9], + [285, 0.631], [286, 0.836], [287, 0.98], [288, 0.857], + [289, 0.517], [290, 0.38], [291, 0.19], [292, 0.723], + [293, 0.503], [294, 0.251], [295, 0.676], [296, 0.35], + [297, 0.175], [298, 0.63], [299, 0.483], [300, 0.654], + [301, 0.282], [302, 0.141], [303, 0.463], [304, 0.201], + [305, 0.267], [306, 0.333], [307, 0.166], [308, 0.466], + [309, 0.205], [310, 0.124], [311, 0.153], [312, 0.081], + [313, 0.511], [314, 0.279], [315, 0.121], [316, 0.134], + [317, 0.068], [318, 0.865], [319, 0.946], [320, 0.911], + [321, 0.993], [322, 0.986], [323, 0.963], [324, 0.975], + [325, 0.965], [326, 0.947], [327, 0.91], [328, 0.63], + [329, 0.529], [330, 0.711], [331, 0.803], [332, 0.846], + [333, 0.72], [334, 0.875], [335, 0.957], [336, 0.932], + [337, 0.856], [338, 0.938], [339, 0.935], [340, 0.908], + [341, 0.098], [342, 0.09], [343, 0.029], [344, 0.961], + [345, 0.997], [346, 0.978], [347, 0.977], [348, 0.955], + [349, 0.883], [350, 0.875], [351, 0.885], [352, 0.872], + [353, 0.942], [354, 0.95], [358, 0.706], [359, 0.388], + [360, 0.468], [364, 0.977], [365, 0.989], [366, 0.994], + [367, 0.967], [372, 0.148], [374, 0.058], [376, 0.087], + [377, 0.036], [378, 0.019], [381, 0.98], [382, 1.0], + [383, 0.982], [384, 0.988], [385, 0.982], [386, 0.986], + [387, 1.0], [388, 0.878], [389, 0.91], [390, 0.988], + [391, 0.974], [392, 1.0], [393, 1.0], [394, 0.959], + [395, 1.0], [396, 1.0], [397, 0.936], [398, 1.0], + [541, 0.006], [542, 0.008], [545, 0.002], [550, 0.009], + [558, 0.013], [559, 0.017], [562, 0.003], [567, 0.018], + [575, 0.025], [576, 0.033], [577, 0.002], [579, 0.006], + [584, 0.036], [592, 0.048], [593, 0.066], [594, 0.005], + [596, 0.021], [599, 0.043], [600, 0.072], [601, 0.085], + [605, 0.014], [606, 0.014], [607, 0.024], [609, 0.024], + [610, 0.033], [611, 0.003], [613, 0.01], [616, 0.026], + [617, 0.036], [618, 0.043], [622, 0.008], [623, 0.008], + [624, 0.014], [626, 0.012], [627, 0.017], [628, 0.001], + [630, 0.005], [633, 0.013], [634, 0.018], [635, 0.021], + [639, 0.004], [640, 0.004], [641, 0.007], [643, 0.006], + [644, 0.008], [647, 0.003], [650, 0.006], [651, 0.009], + [652, 0.011], [656, 0.002], [657, 0.002], [658, 0.004], + [711, 0.044], [899, 0.481], [900, 0.182], [907, 0.132], + [3723, 0.002], [3724, 0.003], [3725, 0.007], [3726, 0.013], + [3727, 0.004], [3728, 0.002], [3729, 0.001], [3738, 0.006], + [3739, 0.008], [5049, 0.147], [5050, 0.861], [5051, 0.858], + [5052, 0.379], [5053, 0.694], [5054, 0.19], [5055, 0.933], + [5056, 0.895], [5057, 0.948], [5058, 0.169], [5059, 0.165], + [5062, 0.028], [5063, 0.014], [5064, 0.054], [5067, 0.488], + [5068, 0.421], [5069, 0.839], [5070, 0.664], [5071, 0.045], + [5072, 0.023], [5073, 0.191], [5074, 0.049], [5075, 0.518], + [5088, 0.622], [5093, 0.797], [5094, 0.943], [5095, 0.971], + [5096, 0.955], [5131, 0.963], [5134, 0.24], [5135, 0.232], + [5136, 0.569], [5137, 0.373], [5138, 0.139], [5139, 0.766], + [5140, 0.086], [5141, 0.179], [5144, 0.01], [5145, 0.068], + [5146, 0.632], [5147, 0.293], [5148, 0.252], [5149, 0.087], + [5150, 0.147], [5250, 0.329], [5251, 0.338], [5252, 0.496], + [5253, 0.273], [5254, 0.393], [5255, 0.173], [5256, 0.288], + [5257, 0.103], [5258, 0.14], [5286, 0.121], [5287, 0.004], + [5304, 0.032], [5321, 0.308], [5322, 0.28], [5330, 0.239], + [5331, 0.086], [5332, 0.193], [5341, 0.084], [5347, 0.087], + [5348, 0.017], [5349, 0.008], [5350, 0.004], [5356, 0.011], + [5357, 0.022], [5358, 0.044], [7284, 0.015], [7285, 0.014], + [7286, 0.004], [7293, 0.013], [7299, 0.02], [7300, 0.022], + [7301, 0.005], [7308, 0.022], [7314, 0.031], [7315, 0.037], + [7316, 0.006], [7317, 0.004], [7323, 0.038], [7329, 0.023], + [7330, 0.027], [7331, 0.012], [7332, 0.006], [7338, 0.029], + [7342, 0.014], [7343, 0.024], [7344, 0.015], [7345, 0.017], + [7346, 0.006], [7351, 0.005], [7352, 0.006], [7353, 0.016], + [7357, 0.008], [7358, 0.014], [7359, 0.008], [7360, 0.009], + [7361, 0.003], [7366, 0.002], [7367, 0.003], [7368, 0.009], + [7372, 0.004], [7373, 0.007], [7374, 0.004], [7375, 0.004], + [7376, 0.002], [7381, 0.001], [7382, 0.002], [7383, 0.004], + [7387, 0.002], [7388, 0.004], [11958, 0.001], [11959, 0.003], + [11960, 0.005], [12028, 0.089], [12031, 0.031], [12320, 0.024], + [12331, 0.007], [12337, 0.009], [12359, 0.009] + ], + "lowerarm01.L": [ + [8368, 0.007], [8369, 0.016], [8372, 0.012], [8383, 0.024], + [8384, 0.041], [8385, 0.043], [8386, 0.037], [8387, 0.023], + [8388, 0.02], [8389, 0.046], [8400, 0.08], [8401, 0.059], + [8402, 0.07], [8403, 0.073], [8404, 0.058], [8405, 0.042], + [8406, 0.082], [8410, 0.036], [8415, 0.018], [8417, 0.17], + [8418, 0.11], [8419, 0.102], [8420, 0.094], [8421, 0.087], + [8422, 0.068], [8423, 0.141], [8425, 0.027], [8426, 0.103], + [8427, 0.118], [8432, 0.02], [9979, 0.289], [9980, 0.21], + [9981, 0.181], [9982, 0.129], [9983, 0.109], [9984, 0.089], + [9985, 0.216], [9986, 0.048], [9987, 0.072], [9988, 0.222], + [9989, 0.248], [9990, 0.126], [9991, 0.125], [9993, 0.01], + [9994, 0.05], [9995, 0.065], [9996, 0.422], [9997, 0.335], + [9998, 0.29], [9999, 0.184], [10000, 0.142], [10001, 0.121], + [10002, 0.336], [10003, 0.154], [10004, 0.194], [10005, 0.308], + [10006, 0.377], [10007, 0.228], [10008, 0.304], [10009, 0.096], + [10010, 0.094], [10011, 0.116], [10012, 0.28], [10013, 0.514], + [10014, 0.421], [10015, 0.39], [10016, 0.277], [10017, 0.203], + [10018, 0.161], [10019, 0.509], [10020, 0.383], [10021, 0.412], + [10022, 0.546], [10023, 0.546], [10024, 0.423], [10025, 0.424], + [10026, 0.264], [10027, 0.169], [10028, 0.144], [10029, 0.4], + [10030, 0.784], [10031, 0.598], [10032, 0.558], [10033, 0.438], + [10034, 0.326], [10035, 0.224], [10036, 0.744], [10037, 0.692], + [10038, 0.697], [10039, 0.762], [10040, 0.843], [10041, 0.692], + [10042, 0.672], [10043, 0.57], [10044, 0.358], [10045, 0.301], + [10046, 0.583], [10047, 1.0], [10048, 0.882], [10049, 0.832], + [10050, 0.719], [10051, 0.635], [10052, 0.487], [10053, 1.0], + [10054, 0.873], [10055, 0.893], [10056, 1.0], [10057, 0.963], + [10058, 0.812], [10059, 0.739], [10060, 0.458], [10061, 0.419], + [10062, 0.386], [10063, 0.641], [10064, 1.0], [10065, 1.0], + [10066, 0.996], [10067, 0.985], [10068, 0.971], [10069, 0.977], + [10070, 1.0], [10071, 1.0], [10072, 1.0], [10073, 1.0], + [10074, 1.0], [10075, 1.0], [10076, 1.0], [10077, 0.991], + [10078, 0.939], [10079, 0.993], [10080, 1.0], [10081, 1.0], + [10082, 1.0], [10083, 1.0], [10084, 1.0], [10085, 1.0], + [10086, 1.0], [10087, 1.0], [10088, 1.0], [10089, 1.0], + [10090, 1.0], [10091, 1.0], [10092, 1.0], [10093, 1.0], + [10094, 1.0], [10095, 1.0], [10096, 1.0], [10097, 1.0], + [10098, 0.913], [10099, 0.912], [10100, 0.911], [10101, 0.91], + [10102, 0.909], [10103, 0.908], [10104, 0.913], [10105, 0.92], + [10106, 0.918], [10107, 0.917], [10108, 0.914], [10109, 0.919], + [10110, 0.91], [10111, 0.908], [10112, 0.909], [10113, 0.909], + [10114, 0.918], [10115, 0.838], [10116, 0.836], [10117, 0.835], + [10118, 0.833], [10119, 0.832], [10120, 0.83], [10121, 0.837], + [10122, 0.848], [10123, 0.845], [10124, 0.844], [10125, 0.839], + [10126, 0.847], [10127, 0.833], [10128, 0.831], [10129, 0.831], + [10130, 0.831], [10131, 0.845], [10132, 0.704], [10133, 0.698], + [10134, 0.694], [10135, 0.687], [10136, 0.684], [10137, 0.679], + [10138, 0.703], [10139, 0.723], [10140, 0.718], [10141, 0.715], + [10142, 0.705], [10143, 0.714], [10144, 0.685], [10145, 0.677], + [10146, 0.676], [10147, 0.68], [10148, 0.708], [10149, 0.601], + [10150, 0.592], [10151, 0.585], [10152, 0.574], [10153, 0.571], + [10154, 0.564], [10155, 0.601], [10156, 0.624], [10157, 0.62], + [10158, 0.616], [10159, 0.603], [10160, 0.609], [10161, 0.571], + [10162, 0.558], [10163, 0.556], [10164, 0.563], [10165, 0.599], + [10166, 0.466], [10167, 0.455], [10168, 0.459], [10169, 0.466], + [10170, 0.467], [10171, 0.457], [10172, 0.468], [10173, 0.492], + [10174, 0.489], [10175, 0.485], [10176, 0.469], [10177, 0.468], + [10178, 0.418], [10179, 0.457], [10180, 0.451], [10181, 0.464], + [10182, 0.426], [10183, 0.403], [10184, 0.39], [10185, 0.356], + [10186, 0.329], [10187, 0.346], [10188, 0.344], [10189, 0.405], + [10190, 0.474], [10191, 0.479], [10192, 0.474], [10193, 0.44], + [10194, 0.431], [10195, 0.391], [10196, 0.383], [10197, 0.37], + [10198, 0.411], [10199, 0.407], [10200, 0.281], [10201, 0.248], + [10202, 0.229], [10203, 0.228], [10204, 0.249], [10205, 0.301], + [10206, 0.235], [10207, 0.372], [10208, 0.389], [10209, 0.341], + [10210, 0.322], [10211, 0.304], [10212, 0.286], [10213, 0.321], + [10214, 0.313], [10215, 0.282], [10216, 0.292], [10217, 0.094], + [10218, 0.064], [10219, 0.061], [10220, 0.052], [10221, 0.067], + [10222, 0.078], [10223, 0.078], [10224, 0.168], [10225, 0.155], + [10226, 0.151], [10227, 0.144], [10228, 0.125], [10229, 0.134], + [10230, 0.211], [10231, 0.166], [10232, 0.119], [10233, 0.146], + [10235, 0.003], [10237, 0.001], [10319, 0.021], [10328, 0.007], + [10347, 0.022], [10348, 0.017], [10349, 0.029], [10350, 0.012], + [10351, 0.065], [10352, 0.017], [10353, 0.01], [10354, 0.005], + [10430, 0.011], [10431, 0.04], [10432, 0.072], [10433, 0.098], + [10434, 0.155], [10435, 0.463], [10436, 0.343], [10437, 0.228], + [10438, 0.057], [10439, 0.009], [10440, 0.58], [10458, 0.024], + [10459, 0.155], [10460, 0.429], [10461, 0.597], [10462, 0.548], + [10463, 1.0], [10464, 1.0], [10465, 0.911], [10466, 0.835], + [10467, 0.687], [10468, 0.572], [10469, 0.437], [10470, 0.393], + [10471, 0.297], [10472, 0.199], [10521, 0.13], [10522, 0.346], + [10523, 0.56], [10524, 0.506], [10525, 1.0], [10526, 1.0], + [10527, 0.906], [10528, 0.828], [10529, 0.673], [10530, 0.555], + [10531, 0.458], [10532, 0.396], [10533, 0.302], [10534, 0.192], + [10539, 0.834], [10540, 0.69], [10541, 0.91], [10542, 1.0], + [10543, 0.991], [10544, 0.775], [10545, 0.498], [10546, 0.333], + [10547, 0.237], [10548, 0.199], [10549, 0.167], [10550, 0.206], + [10551, 0.258], [10552, 0.144], [10553, 0.1], [10554, 0.179], + [10555, 0.192], [10556, 0.166], [10557, 0.296], [10558, 0.137], + [10559, 0.119], [10560, 0.281], [10561, 0.222], [10562, 0.105], + [10563, 0.253], [10564, 0.271], [10565, 0.103], [10566, 0.262], + [10567, 0.273], [10568, 0.052], [10569, 0.056], [10570, 0.046], + [10571, 0.033], [10572, 0.022], [10573, 0.022], [10574, 0.046], + [10575, 0.034], [10576, 0.039], [10577, 0.022], [10578, 0.021], + [10579, 0.025], [10580, 0.066], [10581, 0.075], [10582, 0.1], + [10583, 0.027], [10584, 0.016], [10585, 0.058], [10586, 0.034], + [10587, 0.03], [16895, 0.002], [16897, 0.003], [17005, 0.013], + [17006, 0.016], [17007, 0.014], [17011, 0.002], [17015, 0.009], + [17016, 0.038], [17017, 0.028], [17018, 0.033], [17022, 0.018], + [17026, 0.021], [17027, 0.076], [17028, 0.055], [17029, 0.046], + [17031, 0.01], [17032, 0.045], [17033, 0.057], [17035, 0.001], + [17036, 0.036], [17065, 0.134], [17066, 0.121], [17067, 0.063], + [17068, 0.04], [17069, 0.042], [17070, 0.111], [17071, 0.127], + [17072, 0.07], [17074, 0.023], [17075, 0.053], [17078, 0.22], + [17079, 0.198], [17080, 0.124], [17081, 0.183], [17082, 0.179], + [17083, 0.228], [17084, 0.241], [17086, 0.203], [17087, 0.118], + [17088, 0.092], [17091, 0.41], [17092, 0.367], [17093, 0.32], + [17094, 0.408], [17095, 0.41], [17096, 0.456], [17097, 0.441], + [17099, 0.365], [17100, 0.207], [17101, 0.243], [17102, 0.5], + [17103, 0.491], [17104, 0.49], [17105, 0.491], [17106, 0.493], + [17107, 0.5], [17108, 0.496], [17110, 0.484], [17111, 0.473], + [17112, 0.491], [17113, 0.5], [17114, 0.5], [17115, 0.494], + [17116, 0.5], [17117, 0.5], [17118, 0.5], [17119, 0.5], + [17121, 0.5], [17123, 0.494], [17124, 0.494], [17125, 0.456], + [17126, 0.451], [17127, 0.45], [17128, 0.46], [17129, 0.459], + [17130, 0.458], [17131, 0.457], [17133, 0.455], [17134, 0.454], + [17135, 0.449], [17136, 0.419], [17137, 0.418], [17138, 0.416], + [17139, 0.424], [17140, 0.423], [17141, 0.421], [17142, 0.419], + [17143, 0.416], [17145, 0.415], [17146, 0.415], [17147, 0.352], + [17148, 0.348], [17149, 0.343], [17150, 0.36], [17151, 0.359], + [17152, 0.357], [17153, 0.352], [17154, 0.344], [17156, 0.338], + [17157, 0.34], [17158, 0.292], [17159, 0.278], [17160, 0.279], + [17161, 0.299], [17162, 0.302], [17163, 0.3], [17164, 0.293], + [17166, 0.281], [17168, 0.272], [17169, 0.275], [17170, 0.149], + [17171, 0.141], [17172, 0.167], [17173, 0.169], [17174, 0.207], + [17175, 0.197], [17176, 0.178], [17177, 0.167], [17179, 0.184], + [17180, 0.194], [17181, 0.048], [17182, 0.034], [17183, 0.013], + [17184, 0.077], [17185, 0.106], [17186, 0.087], [17187, 0.069], + [17189, 0.079], [17191, 0.032], [17192, 0.02], [17201, 0.004], + [17202, 0.016], [17203, 0.034], [17204, 0.049], [17205, 0.088], + [17206, 0.147], [17207, 0.022], [17208, 0.282], [17241, 0.001], + [17242, 0.025], [17243, 0.218], [17244, 0.267], [17245, 0.5], + [17246, 0.5], [17247, 0.455], [17248, 0.417], [17249, 0.342], + [17250, 0.275], [17251, 0.192], [17252, 0.039], [17254, 0.408], + [17255, 0.338], [17256, 0.45], [17257, 0.494], [17258, 0.496], + [17259, 0.322], [17260, 0.158] + ], + "lowerarm01.R": [ + [1696, 0.007], [1697, 0.016], [1700, 0.012], [1711, 0.024], + [1712, 0.041], [1713, 0.043], [1714, 0.037], [1715, 0.023], + [1716, 0.02], [1717, 0.046], [1728, 0.08], [1729, 0.059], + [1730, 0.07], [1731, 0.073], [1732, 0.058], [1733, 0.042], + [1734, 0.082], [1738, 0.036], [1743, 0.018], [1745, 0.17], + [1746, 0.11], [1747, 0.102], [1748, 0.094], [1749, 0.087], + [1750, 0.068], [1751, 0.141], [1753, 0.027], [1754, 0.103], + [1755, 0.118], [1760, 0.02], [3311, 0.289], [3312, 0.21], + [3313, 0.181], [3314, 0.129], [3315, 0.109], [3316, 0.089], + [3317, 0.216], [3318, 0.048], [3319, 0.072], [3320, 0.222], + [3321, 0.248], [3322, 0.126], [3323, 0.125], [3325, 0.01], + [3326, 0.05], [3327, 0.065], [3328, 0.422], [3329, 0.335], + [3330, 0.29], [3331, 0.184], [3332, 0.142], [3333, 0.121], + [3334, 0.336], [3335, 0.154], [3336, 0.194], [3337, 0.308], + [3338, 0.377], [3339, 0.228], [3340, 0.304], [3341, 0.096], + [3342, 0.094], [3343, 0.116], [3344, 0.28], [3345, 0.514], + [3346, 0.421], [3347, 0.39], [3348, 0.277], [3349, 0.203], + [3350, 0.161], [3351, 0.509], [3352, 0.383], [3353, 0.412], + [3354, 0.546], [3355, 0.546], [3356, 0.423], [3357, 0.424], + [3358, 0.264], [3359, 0.169], [3360, 0.144], [3361, 0.4], + [3362, 0.784], [3363, 0.598], [3364, 0.558], [3365, 0.438], + [3366, 0.326], [3367, 0.224], [3368, 0.744], [3369, 0.692], + [3370, 0.697], [3371, 0.762], [3372, 0.843], [3373, 0.692], + [3374, 0.672], [3375, 0.57], [3376, 0.358], [3377, 0.301], + [3378, 0.583], [3379, 1.0], [3380, 0.882], [3381, 0.832], + [3382, 0.719], [3383, 0.635], [3384, 0.487], [3385, 1.0], + [3386, 0.873], [3387, 0.893], [3388, 1.0], [3389, 0.963], + [3390, 0.812], [3391, 0.739], [3392, 0.458], [3393, 0.419], + [3394, 0.386], [3395, 0.641], [3396, 1.0], [3397, 1.0], + [3398, 0.996], [3399, 0.985], [3400, 0.971], [3401, 0.977], + [3402, 1.0], [3403, 1.0], [3404, 1.0], [3405, 1.0], + [3406, 1.0], [3407, 1.0], [3408, 1.0], [3409, 0.991], + [3410, 0.939], [3411, 0.993], [3412, 1.0], [3413, 1.0], + [3414, 1.0], [3415, 1.0], [3416, 1.0], [3417, 1.0], + [3418, 1.0], [3419, 1.0], [3420, 1.0], [3421, 1.0], + [3422, 1.0], [3423, 1.0], [3424, 1.0], [3425, 1.0], + [3426, 1.0], [3427, 1.0], [3428, 1.0], [3429, 1.0], + [3430, 0.913], [3431, 0.912], [3432, 0.911], [3433, 0.91], + [3434, 0.909], [3435, 0.908], [3436, 0.913], [3437, 0.92], + [3438, 0.918], [3439, 0.917], [3440, 0.914], [3441, 0.919], + [3442, 0.91], [3443, 0.908], [3444, 0.909], [3445, 0.909], + [3446, 0.918], [3447, 0.838], [3448, 0.836], [3449, 0.835], + [3450, 0.833], [3451, 0.832], [3452, 0.83], [3453, 0.837], + [3454, 0.848], [3455, 0.845], [3456, 0.844], [3457, 0.839], + [3458, 0.847], [3459, 0.833], [3460, 0.831], [3461, 0.831], + [3462, 0.831], [3463, 0.845], [3464, 0.704], [3465, 0.698], + [3466, 0.694], [3467, 0.687], [3468, 0.684], [3469, 0.679], + [3470, 0.703], [3471, 0.723], [3472, 0.718], [3473, 0.715], + [3474, 0.705], [3475, 0.714], [3476, 0.685], [3477, 0.677], + [3478, 0.676], [3479, 0.68], [3480, 0.708], [3481, 0.601], + [3482, 0.592], [3483, 0.585], [3484, 0.574], [3485, 0.571], + [3486, 0.564], [3487, 0.601], [3488, 0.624], [3489, 0.62], + [3490, 0.616], [3491, 0.603], [3492, 0.609], [3493, 0.571], + [3494, 0.558], [3495, 0.556], [3496, 0.563], [3497, 0.599], + [3498, 0.466], [3499, 0.455], [3500, 0.459], [3501, 0.466], + [3502, 0.467], [3503, 0.457], [3504, 0.468], [3505, 0.492], + [3506, 0.489], [3507, 0.485], [3508, 0.469], [3509, 0.468], + [3510, 0.418], [3511, 0.457], [3512, 0.451], [3513, 0.464], + [3514, 0.426], [3515, 0.403], [3516, 0.39], [3517, 0.356], + [3518, 0.329], [3519, 0.346], [3520, 0.344], [3521, 0.405], + [3522, 0.474], [3523, 0.479], [3524, 0.474], [3525, 0.44], + [3526, 0.431], [3527, 0.391], [3528, 0.383], [3529, 0.37], + [3530, 0.411], [3531, 0.407], [3532, 0.281], [3533, 0.248], + [3534, 0.229], [3535, 0.228], [3536, 0.249], [3537, 0.301], + [3538, 0.235], [3539, 0.372], [3540, 0.389], [3541, 0.341], + [3542, 0.322], [3543, 0.304], [3544, 0.286], [3545, 0.321], + [3546, 0.313], [3547, 0.282], [3548, 0.292], [3549, 0.094], + [3550, 0.064], [3551, 0.061], [3552, 0.052], [3553, 0.067], + [3554, 0.078], [3555, 0.078], [3556, 0.168], [3557, 0.155], + [3558, 0.151], [3559, 0.144], [3560, 0.125], [3561, 0.134], + [3562, 0.211], [3563, 0.166], [3564, 0.119], [3565, 0.146], + [3567, 0.003], [3569, 0.001], [3651, 0.021], [3660, 0.007], + [3679, 0.022], [3680, 0.017], [3681, 0.029], [3682, 0.012], + [3683, 0.065], [3684, 0.017], [3685, 0.01], [3686, 0.005], + [3763, 0.011], [3764, 0.04], [3765, 0.072], [3766, 0.098], + [3767, 0.155], [3768, 0.463], [3769, 0.343], [3770, 0.228], + [3771, 0.057], [3772, 0.009], [3773, 0.58], [3792, 0.024], + [3793, 0.155], [3794, 0.429], [3795, 0.597], [3796, 0.548], + [3797, 1.0], [3798, 1.0], [3799, 0.911], [3800, 0.835], + [3801, 0.687], [3802, 0.572], [3803, 0.437], [3804, 0.393], + [3805, 0.297], [3806, 0.199], [3856, 0.13], [3857, 0.346], + [3858, 0.56], [3859, 0.506], [3860, 1.0], [3861, 1.0], + [3862, 0.906], [3863, 0.828], [3864, 0.673], [3865, 0.555], + [3866, 0.458], [3867, 0.396], [3868, 0.302], [3869, 0.192], + [3874, 0.834], [3875, 0.69], [3876, 0.91], [3877, 1.0], + [3878, 0.991], [3879, 0.775], [3880, 0.498], [3881, 0.333], + [3882, 0.237], [3883, 0.199], [3884, 0.167], [3885, 0.206], + [3886, 0.258], [3887, 0.144], [3888, 0.1], [3889, 0.179], + [3890, 0.192], [3891, 0.166], [3892, 0.296], [3893, 0.137], + [3894, 0.119], [3895, 0.281], [3896, 0.222], [3897, 0.105], + [3898, 0.253], [3899, 0.271], [3900, 0.103], [3901, 0.262], + [3902, 0.273], [3903, 0.052], [3904, 0.056], [3905, 0.046], + [3906, 0.033], [3907, 0.022], [3908, 0.022], [3909, 0.046], + [3910, 0.034], [3911, 0.039], [3912, 0.022], [3913, 0.021], + [3914, 0.025], [3915, 0.066], [3916, 0.075], [3917, 0.1], + [3918, 0.027], [3919, 0.016], [3920, 0.058], [3921, 0.034], + [3922, 0.03], [15591, 0.002], [15593, 0.003], [15693, 0.013], + [15694, 0.016], [15695, 0.014], [15699, 0.002], [15703, 0.009], + [15704, 0.038], [15705, 0.028], [15706, 0.033], [15710, 0.018], + [15714, 0.021], [15715, 0.076], [15716, 0.055], [15717, 0.046], + [15719, 0.01], [15720, 0.045], [15721, 0.057], [15723, 0.001], + [15724, 0.036], [15749, 0.134], [15750, 0.121], [15751, 0.063], + [15752, 0.04], [15753, 0.042], [15754, 0.111], [15755, 0.127], + [15756, 0.07], [15758, 0.023], [15759, 0.053], [15761, 0.22], + [15762, 0.198], [15763, 0.124], [15764, 0.183], [15765, 0.179], + [15766, 0.228], [15767, 0.241], [15769, 0.203], [15770, 0.118], + [15771, 0.092], [15774, 0.41], [15775, 0.367], [15776, 0.32], + [15777, 0.408], [15778, 0.41], [15779, 0.456], [15780, 0.441], + [15782, 0.365], [15783, 0.207], [15784, 0.243], [15785, 0.5], + [15786, 0.491], [15787, 0.49], [15788, 0.491], [15789, 0.493], + [15790, 0.5], [15791, 0.496], [15793, 0.484], [15794, 0.473], + [15795, 0.491], [15796, 0.5], [15797, 0.5], [15798, 0.494], + [15799, 0.5], [15800, 0.5], [15801, 0.5], [15802, 0.5], + [15804, 0.5], [15806, 0.494], [15807, 0.494], [15808, 0.456], + [15809, 0.451], [15810, 0.45], [15811, 0.46], [15812, 0.459], + [15813, 0.458], [15814, 0.457], [15816, 0.455], [15817, 0.454], + [15818, 0.449], [15819, 0.419], [15820, 0.418], [15821, 0.416], + [15822, 0.424], [15823, 0.423], [15824, 0.421], [15825, 0.419], + [15826, 0.416], [15828, 0.415], [15829, 0.415], [15830, 0.352], + [15831, 0.348], [15832, 0.343], [15833, 0.36], [15834, 0.359], + [15835, 0.357], [15836, 0.352], [15837, 0.344], [15839, 0.338], + [15840, 0.34], [15841, 0.292], [15842, 0.278], [15843, 0.279], + [15844, 0.299], [15845, 0.302], [15846, 0.3], [15847, 0.293], + [15849, 0.281], [15851, 0.272], [15852, 0.275], [15853, 0.149], + [15854, 0.141], [15855, 0.167], [15856, 0.169], [15857, 0.207], + [15858, 0.197], [15859, 0.178], [15860, 0.167], [15862, 0.184], + [15863, 0.194], [15864, 0.048], [15865, 0.034], [15866, 0.013], + [15867, 0.077], [15868, 0.106], [15869, 0.087], [15870, 0.069], + [15872, 0.079], [15874, 0.032], [15875, 0.02], [15884, 0.004], + [15885, 0.016], [15886, 0.034], [15887, 0.049], [15888, 0.088], + [15889, 0.147], [15890, 0.022], [15891, 0.282], [15922, 0.001], + [15923, 0.025], [15924, 0.218], [15925, 0.267], [15926, 0.5], + [15927, 0.5], [15928, 0.455], [15929, 0.417], [15930, 0.342], + [15931, 0.275], [15932, 0.192], [15933, 0.039], [15935, 0.408], + [15936, 0.338], [15937, 0.45], [15938, 0.494], [15939, 0.496], + [15940, 0.322], [15941, 0.158] + ], + "lowerarm02.L": [ + [9899, 0.001], [10098, 0.087], [10099, 0.088], [10100, 0.089], + [10101, 0.09], [10102, 0.091], [10103, 0.092], [10104, 0.087], + [10105, 0.08], [10106, 0.082], [10107, 0.083], [10108, 0.086], + [10109, 0.081], [10110, 0.09], [10111, 0.092], [10112, 0.091], + [10113, 0.091], [10114, 0.082], [10115, 0.162], [10116, 0.164], + [10117, 0.165], [10118, 0.167], [10119, 0.168], [10120, 0.17], + [10121, 0.163], [10122, 0.152], [10123, 0.155], [10124, 0.156], + [10125, 0.161], [10126, 0.153], [10127, 0.167], [10128, 0.169], + [10129, 0.169], [10130, 0.169], [10131, 0.154], [10132, 0.296], + [10133, 0.302], [10134, 0.306], [10135, 0.313], [10136, 0.315], + [10137, 0.321], [10138, 0.297], [10139, 0.277], [10140, 0.282], + [10141, 0.285], [10142, 0.295], [10143, 0.286], [10144, 0.315], + [10145, 0.323], [10146, 0.324], [10147, 0.32], [10148, 0.292], + [10149, 0.399], [10150, 0.408], [10151, 0.415], [10152, 0.426], + [10153, 0.429], [10154, 0.436], [10155, 0.399], [10156, 0.376], + [10157, 0.38], [10158, 0.384], [10159, 0.397], [10160, 0.391], + [10161, 0.43], [10162, 0.442], [10163, 0.444], [10164, 0.437], + [10165, 0.401], [10166, 0.476], [10167, 0.489], [10168, 0.499], + [10169, 0.517], [10170, 0.52], [10171, 0.528], [10172, 0.474], + [10173, 0.454], [10174, 0.455], [10175, 0.459], [10176, 0.474], + [10177, 0.479], [10178, 0.524], [10179, 0.543], [10180, 0.549], + [10181, 0.536], [10182, 0.497], [10183, 0.458], [10184, 0.48], + [10185, 0.503], [10186, 0.54], [10187, 0.538], [10188, 0.55], + [10189, 0.448], [10190, 0.461], [10191, 0.453], [10192, 0.451], + [10193, 0.46], [10194, 0.506], [10195, 0.548], [10196, 0.587], + [10197, 0.594], [10198, 0.567], [10199, 0.538], [10200, 0.482], + [10201, 0.48], [10202, 0.52], [10203, 0.566], [10204, 0.564], + [10205, 0.578], [10206, 0.434], [10207, 0.453], [10208, 0.446], + [10209, 0.458], [10210, 0.48], [10211, 0.54], [10212, 0.614], + [10213, 0.646], [10214, 0.653], [10215, 0.606], [10216, 0.628], + [10217, 0.211], [10218, 0.247], [10219, 0.304], [10220, 0.408], + [10221, 0.487], [10222, 0.58], [10223, 0.284], [10224, 0.421], + [10225, 0.38], [10226, 0.316], [10227, 0.278], [10228, 0.526], + [10229, 0.509], [10230, 0.657], [10231, 0.627], [10232, 0.488], + [10233, 0.494], [10234, 0.055], [10235, 0.122], [10236, 0.008], + [10237, 0.085], [10238, 0.079], [10239, 0.065], [10240, 0.046], + [10241, 0.064], [10242, 0.095], [10243, 0.101], [10250, 0.096], + [10319, 0.29], [10322, 0.234], [10346, 0.002], [10347, 0.059], + [10348, 0.13], [10349, 0.225], [10350, 0.102], [10351, 0.298], + [10352, 0.324], [10353, 0.339], [10354, 0.159], [10435, 0.508], + [10436, 0.521], [10437, 0.543], [10438, 0.356], [10439, 0.236], + [10440, 0.42], [10465, 0.089], [10466, 0.165], [10467, 0.313], + [10468, 0.428], [10469, 0.527], [10470, 0.565], [10471, 0.626], + [10472, 0.501], [10473, 0.103], [10492, 0.004], [10527, 0.094], + [10528, 0.172], [10529, 0.327], [10530, 0.445], [10531, 0.542], + [10532, 0.582], [10533, 0.626], [10534, 0.631], [10537, 0.101], + [10539, 0.166], [10540, 0.31], [10541, 0.09], [10548, 0.366], + [10549, 0.357], [10550, 0.548], [10551, 0.462], [10552, 0.545], + [10553, 0.531], [10554, 0.553], [10555, 0.563], [10556, 0.582], + [10557, 0.655], [10558, 0.358], [10559, 0.399], [10560, 0.663], + [10561, 0.378], [10562, 0.447], [10563, 0.581], [10564, 0.414], + [10565, 0.489], [10566, 0.594], [10567, 0.648], [10568, 0.255], + [10569, 0.255], [10570, 0.261], [10571, 0.255], [10572, 0.252], + [10573, 0.255], [10574, 0.19], [10575, 0.147], [10576, 0.09], + [10577, 0.144], [10578, 0.112], [10579, 0.169], [10580, 0.402], + [10581, 0.478], [10582, 0.382], [10583, 0.397], [10584, 0.499], + [10585, 0.397], [10586, 0.289], [10587, 0.229], [14030, 1.0], + [14031, 1.0], [14032, 1.0], [14033, 1.0], [14034, 1.0], + [14035, 1.0], [14036, 1.0], [14037, 1.0], [17115, 0.006], + [17123, 0.006], [17124, 0.006], [17125, 0.043], [17126, 0.049], + [17127, 0.05], [17128, 0.04], [17129, 0.041], [17130, 0.042], + [17131, 0.043], [17133, 0.045], [17134, 0.046], [17135, 0.051], + [17136, 0.081], [17137, 0.082], [17138, 0.084], [17139, 0.076], + [17140, 0.077], [17141, 0.079], [17142, 0.081], [17143, 0.084], + [17145, 0.085], [17146, 0.085], [17147, 0.148], [17148, 0.152], + [17149, 0.157], [17150, 0.14], [17151, 0.141], [17152, 0.143], + [17153, 0.147], [17154, 0.156], [17156, 0.162], [17157, 0.16], + [17158, 0.204], [17159, 0.215], [17160, 0.22], [17161, 0.198], + [17162, 0.195], [17163, 0.197], [17164, 0.204], [17166, 0.215], + [17168, 0.228], [17169, 0.224], [17170, 0.22], [17171, 0.253], + [17172, 0.272], [17173, 0.279], [17174, 0.227], [17175, 0.227], + [17176, 0.236], [17177, 0.298], [17179, 0.299], [17180, 0.285], + [17181, 0.155], [17182, 0.157], [17183, 0.237], [17184, 0.265], + [17185, 0.213], [17186, 0.166], [17187, 0.141], [17189, 0.252], + [17191, 0.174], [17192, 0.189], [17206, 0.271], [17207, 0.171], + [17208, 0.216], [17247, 0.045], [17248, 0.083], [17249, 0.158], + [17250, 0.223], [17251, 0.291], [17252, 0.188], [17254, 0.092], + [17255, 0.162], [17256, 0.05], [17257, 0.006] + ], + "lowerarm02.R": [ + [3231, 0.001], [3430, 0.087], [3431, 0.088], [3432, 0.089], + [3433, 0.09], [3434, 0.091], [3435, 0.092], [3436, 0.087], + [3437, 0.08], [3438, 0.082], [3439, 0.083], [3440, 0.086], + [3441, 0.081], [3442, 0.09], [3443, 0.092], [3444, 0.091], + [3445, 0.091], [3446, 0.082], [3447, 0.162], [3448, 0.164], + [3449, 0.165], [3450, 0.167], [3451, 0.168], [3452, 0.17], + [3453, 0.163], [3454, 0.152], [3455, 0.155], [3456, 0.156], + [3457, 0.161], [3458, 0.153], [3459, 0.167], [3460, 0.169], + [3461, 0.169], [3462, 0.169], [3463, 0.154], [3464, 0.296], + [3465, 0.302], [3466, 0.306], [3467, 0.313], [3468, 0.315], + [3469, 0.321], [3470, 0.297], [3471, 0.277], [3472, 0.282], + [3473, 0.285], [3474, 0.295], [3475, 0.286], [3476, 0.315], + [3477, 0.323], [3478, 0.324], [3479, 0.32], [3480, 0.292], + [3481, 0.399], [3482, 0.408], [3483, 0.415], [3484, 0.426], + [3485, 0.429], [3486, 0.436], [3487, 0.399], [3488, 0.376], + [3489, 0.38], [3490, 0.384], [3491, 0.397], [3492, 0.391], + [3493, 0.43], [3494, 0.442], [3495, 0.444], [3496, 0.437], + [3497, 0.401], [3498, 0.476], [3499, 0.489], [3500, 0.499], + [3501, 0.517], [3502, 0.52], [3503, 0.528], [3504, 0.474], + [3505, 0.454], [3506, 0.455], [3507, 0.459], [3508, 0.474], + [3509, 0.479], [3510, 0.524], [3511, 0.543], [3512, 0.549], + [3513, 0.536], [3514, 0.497], [3515, 0.458], [3516, 0.48], + [3517, 0.503], [3518, 0.54], [3519, 0.538], [3520, 0.55], + [3521, 0.448], [3522, 0.461], [3523, 0.453], [3524, 0.451], + [3525, 0.46], [3526, 0.506], [3527, 0.548], [3528, 0.587], + [3529, 0.594], [3530, 0.567], [3531, 0.538], [3532, 0.482], + [3533, 0.48], [3534, 0.52], [3535, 0.566], [3536, 0.564], + [3537, 0.578], [3538, 0.434], [3539, 0.453], [3540, 0.446], + [3541, 0.458], [3542, 0.48], [3543, 0.54], [3544, 0.614], + [3545, 0.646], [3546, 0.653], [3547, 0.606], [3548, 0.628], + [3549, 0.211], [3550, 0.247], [3551, 0.304], [3552, 0.408], + [3553, 0.487], [3554, 0.58], [3555, 0.284], [3556, 0.421], + [3557, 0.38], [3558, 0.316], [3559, 0.278], [3560, 0.526], + [3561, 0.509], [3562, 0.657], [3563, 0.627], [3564, 0.488], + [3565, 0.494], [3566, 0.055], [3567, 0.122], [3568, 0.008], + [3569, 0.085], [3570, 0.079], [3571, 0.065], [3572, 0.046], + [3573, 0.064], [3574, 0.095], [3575, 0.101], [3582, 0.096], + [3651, 0.29], [3654, 0.234], [3678, 0.002], [3679, 0.059], + [3680, 0.13], [3681, 0.225], [3682, 0.102], [3683, 0.298], + [3684, 0.324], [3685, 0.339], [3686, 0.159], [3768, 0.508], + [3769, 0.521], [3770, 0.543], [3771, 0.356], [3772, 0.236], + [3773, 0.42], [3799, 0.089], [3800, 0.165], [3801, 0.313], + [3802, 0.428], [3803, 0.527], [3804, 0.565], [3805, 0.626], + [3806, 0.501], [3807, 0.103], [3826, 0.004], [3862, 0.094], + [3863, 0.172], [3864, 0.327], [3865, 0.445], [3866, 0.542], + [3867, 0.582], [3868, 0.626], [3869, 0.631], [3872, 0.101], + [3874, 0.166], [3875, 0.31], [3876, 0.09], [3883, 0.366], + [3884, 0.357], [3885, 0.548], [3886, 0.462], [3887, 0.545], + [3888, 0.531], [3889, 0.553], [3890, 0.563], [3891, 0.582], + [3892, 0.655], [3893, 0.358], [3894, 0.399], [3895, 0.663], + [3896, 0.378], [3897, 0.447], [3898, 0.581], [3899, 0.414], + [3900, 0.489], [3901, 0.594], [3902, 0.648], [3903, 0.255], + [3904, 0.255], [3905, 0.261], [3906, 0.255], [3907, 0.252], + [3908, 0.255], [3909, 0.19], [3910, 0.147], [3911, 0.09], + [3912, 0.144], [3913, 0.112], [3914, 0.169], [3915, 0.402], + [3916, 0.478], [3917, 0.382], [3918, 0.397], [3919, 0.499], + [3920, 0.397], [3921, 0.289], [3922, 0.229], [14470, 1.0], + [14471, 1.0], [14472, 1.0], [14473, 1.0], [14474, 1.0], + [14475, 1.0], [14476, 1.0], [14477, 1.0], [15798, 0.006], + [15806, 0.006], [15807, 0.006], [15808, 0.043], [15809, 0.049], + [15810, 0.05], [15811, 0.04], [15812, 0.041], [15813, 0.042], + [15814, 0.043], [15816, 0.045], [15817, 0.046], [15818, 0.051], + [15819, 0.081], [15820, 0.082], [15821, 0.084], [15822, 0.076], + [15823, 0.077], [15824, 0.079], [15825, 0.081], [15826, 0.084], + [15828, 0.085], [15829, 0.085], [15830, 0.148], [15831, 0.152], + [15832, 0.157], [15833, 0.14], [15834, 0.141], [15835, 0.143], + [15836, 0.147], [15837, 0.156], [15839, 0.162], [15840, 0.16], + [15841, 0.204], [15842, 0.215], [15843, 0.22], [15844, 0.198], + [15845, 0.195], [15846, 0.197], [15847, 0.204], [15849, 0.215], + [15851, 0.228], [15852, 0.224], [15853, 0.22], [15854, 0.253], + [15855, 0.272], [15856, 0.279], [15857, 0.227], [15858, 0.227], + [15859, 0.236], [15860, 0.298], [15862, 0.299], [15863, 0.285], + [15864, 0.155], [15865, 0.157], [15866, 0.237], [15867, 0.265], + [15868, 0.213], [15869, 0.166], [15870, 0.141], [15872, 0.252], + [15874, 0.174], [15875, 0.189], [15889, 0.271], [15890, 0.171], + [15891, 0.216], [15928, 0.045], [15929, 0.083], [15930, 0.158], + [15931, 0.223], [15932, 0.291], [15933, 0.188], [15935, 0.092], + [15936, 0.162], [15937, 0.05], [15938, 0.006] + ], + "lowerleg01.L": [ + [11129, 0.008], [11131, 0.014], [11132, 0.01], [11133, 0.019], + [11134, 0.017], [11138, 0.007], [11143, 0.014], [11147, 0.007], + [11148, 0.01], [11150, 0.033], [11151, 0.021], [11152, 0.04], + [11153, 0.037], [11154, 0.006], [11155, 0.01], [11156, 0.01], + [11157, 0.033], [11158, 0.013], [11159, 0.013], [11162, 0.042], + [11164, 0.024], [11165, 0.021], [11166, 0.017], [11167, 0.011], + [11168, 0.006], [11169, 0.045], [11170, 0.024], [11171, 0.052], + [11172, 0.051], [11173, 0.022], [11174, 0.019], [11175, 0.048], + [11176, 0.059], [11177, 0.02], [11178, 0.02], [11179, 0.008], + [11181, 0.053], [11183, 0.049], [11184, 0.042], [11185, 0.031], + [11186, 0.029], [11187, 0.021], [11188, 0.071], [11189, 0.042], + [11190, 0.079], [11191, 0.078], [11192, 0.062], [11193, 0.037], + [11194, 0.071], [11195, 0.073], [11196, 0.035], [11197, 0.037], + [11198, 0.016], [11199, 0.02], [11200, 0.076], [11201, 0.012], + [11202, 0.153], [11203, 0.169], [11204, 0.134], [11205, 0.122], + [11206, 0.133], [11207, 0.177], [11208, 0.147], [11209, 0.167], + [11210, 0.179], [11211, 0.171], [11212, 0.107], [11213, 0.149], + [11214, 0.145], [11215, 0.108], [11216, 0.115], [11217, 0.098], + [11218, 0.115], [11219, 0.147], [11220, 0.164], [11221, 0.252], + [11222, 0.302], [11223, 0.227], [11224, 0.234], [11225, 0.246], + [11226, 0.278], [11227, 0.248], [11228, 0.254], [11229, 0.282], + [11230, 0.286], [11231, 0.18], [11232, 0.266], [11233, 0.24], + [11234, 0.184], [11235, 0.2], [11236, 0.202], [11237, 0.221], + [11238, 0.223], [11239, 0.338], [11240, 0.438], [11241, 0.529], + [11242, 0.325], [11243, 0.385], [11244, 0.47], [11245, 0.481], + [11246, 0.414], [11247, 0.419], [11248, 0.477], [11249, 0.359], + [11250, 0.298], [11251, 0.348], [11252, 0.347], [11253, 0.298], + [11254, 0.298], [11255, 0.329], [11256, 0.354], [11257, 0.357], + [11258, 0.53], [11259, 0.573], [11260, 0.774], [11261, 0.45], + [11262, 0.538], [11263, 0.542], [11264, 0.615], [11265, 0.582], + [11266, 0.537], [11267, 0.609], [11268, 0.484], [11269, 0.424], + [11270, 0.502], [11271, 0.495], [11272, 0.44], [11273, 0.407], + [11274, 0.549], [11275, 0.75], [11276, 0.489], [11277, 0.789], + [11278, 0.78], [11279, 0.894], [11280, 0.691], [11281, 0.739], + [11282, 0.746], [11283, 0.807], [11284, 0.812], [11285, 0.666], + [11286, 0.718], [11287, 0.695], [11288, 0.707], [11289, 0.688], + [11290, 0.67], [11291, 0.714], [11292, 0.699], [11293, 0.874], + [11294, 0.933], [11295, 0.661], [11296, 0.893], [11297, 0.926], + [11298, 0.936], [11299, 0.94], [11300, 0.878], [11301, 0.909], + [11302, 0.934], [11303, 0.908], [11304, 0.869], [11305, 0.871], + [11306, 0.929], [11307, 0.943], [11308, 0.91], [11309, 0.891], + [11310, 0.941], [11311, 0.932], [11312, 0.947], [11313, 0.954], + [11314, 0.888], [11315, 0.943], [11316, 0.942], [11317, 0.916], + [11318, 0.912], [11319, 0.902], [11320, 0.926], [11321, 0.91], + [11322, 0.905], [11323, 0.939], [11324, 0.9], [11325, 0.926], + [11326, 0.907], [11327, 0.927], [11328, 0.93], [11329, 0.908], + [11330, 0.908], [11331, 0.926], [11332, 0.926], [11333, 0.933], + [11334, 0.924], [11335, 0.891], [11336, 0.808], [11337, 0.829], + [11338, 0.789], [11339, 0.846], [11340, 0.815], [11341, 0.815], + [11342, 0.876], [11343, 0.8], [11344, 0.848], [11345, 0.819], + [11346, 0.851], [11347, 0.857], [11348, 0.818], [11349, 0.809], + [11350, 0.839], [11351, 0.842], [11352, 0.864], [11353, 0.837], + [11354, 0.717], [11355, 0.623], [11356, 0.654], [11357, 0.572], + [11358, 0.645], [11359, 0.642], [11360, 0.616], [11361, 0.763], + [11362, 0.678], [11363, 0.661], [11364, 0.646], [11365, 0.666], + [11366, 0.696], [11367, 0.642], [11368, 0.664], [11369, 0.678], + [11370, 0.67], [11371, 0.725], [11372, 0.66], [11373, 0.487], + [11374, 0.483], [11375, 0.46], [11376, 0.439], [11377, 0.473], + [11378, 0.499], [11379, 0.445], [11380, 0.562], [11381, 0.525], + [11382, 0.452], [11383, 0.465], [11384, 0.455], [11385, 0.482], + [11386, 0.477], [11387, 0.496], [11388, 0.516], [11389, 0.493], + [11390, 0.511], [11391, 0.489], [11392, 0.215], [11393, 0.217], + [11394, 0.178], [11395, 0.215], [11396, 0.215], [11397, 0.23], + [11398, 0.218], [11399, 0.236], [11400, 0.234], [11401, 0.178], + [11402, 0.146], [11403, 0.19], [11404, 0.203], [11405, 0.202], + [11406, 0.201], [11407, 0.236], [11408, 0.221], [11409, 0.216], + [11410, 0.222], [11416, 0.162], [11417, 0.155], [11418, 0.147], + [11419, 0.137], [11420, 0.098], [11421, 0.18], [11422, 0.167], + [11423, 0.116], [11424, 0.12], [11425, 0.127], [11426, 0.151], + [11427, 0.132], [11428, 0.126], [11429, 0.141], [11430, 0.116], + [11431, 0.116], [11432, 0.122], [11433, 0.137], [11434, 0.147], + [11435, 0.164], [11436, 0.158], [11437, 0.123], [11438, 0.166], + [11439, 0.198], [11440, 0.184], [11441, 0.157], [11442, 0.162], + [11443, 0.163], [11444, 0.062], [11445, 0.159], [11446, 0.148], + [11447, 0.157], [11448, 0.149], [11449, 0.153], [11450, 0.148], + [11451, 0.157], [11452, 0.158], [11453, 0.182], [11454, 0.188], + [11455, 0.145], [11456, 0.206], [11457, 0.131], [11458, 0.125], + [11459, 0.13], [11460, 0.131], [11461, 0.147], [11462, 0.135], + [11463, 0.152], [11464, 0.127], [11559, 0.009], [11561, 0.002], + [11562, 0.006], [11597, 0.008], [11603, 0.003], [12373, 0.019], + [12619, 0.002], [12635, 0.002], [12695, 0.009], [12696, 0.009], + [12700, 0.009], [12715, 0.01], [12720, 0.007], [12832, 0.015], + [12833, 0.024], [12834, 0.02], [12835, 0.012], [12836, 0.094], + [12837, 0.051], [12838, 0.047], [12841, 0.023], [12842, 0.012], + [12843, 0.012], [12844, 0.032], [12845, 0.026], [12885, 0.073], + [12922, 0.082], [12923, 0.059], [12927, 0.184], [12928, 0.055], + [12935, 0.151], [12939, 0.072], [12940, 0.051], [12942, 0.118], + [12945, 0.117], [12946, 0.048], [12950, 0.039], [12954, 0.034], + [12955, 0.081], [12956, 0.063], [12957, 0.164], [12958, 0.169], + [12959, 0.061], [12960, 0.188], [12961, 0.194], [12962, 0.187], + [12963, 0.181], [12964, 0.186], [12965, 0.194], [12966, 0.03], + [12967, 0.031], [12969, 0.076], [12970, 0.126], [12971, 0.146], + [12972, 0.094], [12973, 0.102], [12974, 0.068], [12975, 0.098], + [12976, 0.114], [12978, 0.061], [12979, 0.05], [12980, 0.167], + [12981, 0.033], [12982, 0.034], [12983, 0.033], [12984, 0.142], + [12985, 0.041], [12986, 0.166], [12988, 0.08], [12998, 0.01], + [12999, 0.016], [13000, 0.028], [13001, 0.107], [13002, 0.186], + [13003, 0.279], [13004, 0.395], [13005, 0.676], [13006, 0.926], + [13007, 0.92], [13008, 0.822], [13009, 0.668], [13010, 0.512], + [13011, 0.23], [13012, 0.164], [13013, 0.16], [13014, 0.166], + [13026, 0.093], [13027, 0.054], [13028, 0.173], [13029, 0.136], + [13036, 0.068], [13078, 0.003], [13137, 0.003], [13152, 0.009], + [13186, 0.007], [13225, 0.008], [13235, 0.013], [13322, 0.003], + [13328, 0.004], [16632, 0.032], [16633, 0.068], [16634, 0.083], + [16635, 0.089], [16636, 0.078], [16637, 0.071], [16638, 0.068], + [16639, 0.07], [16640, 0.078], [16641, 0.076], [16642, 0.067], + [16643, 0.069], [16644, 0.066], [16645, 0.067], [16646, 0.099], + [16647, 0.093], [16648, 0.077], [16649, 0.08], [16650, 0.085], + [16651, 0.077], [16652, 0.074], [16653, 0.076], [16654, 0.072], + [16655, 0.078], [16656, 0.079], [16657, 0.09], [16658, 0.094], + [16659, 0.072], [16660, 0.101], [16661, 0.067], [16662, 0.065], + [16663, 0.067], [16664, 0.074], [16665, 0.065], [16666, 0.078], + [16667, 0.063], [16668, 0.04], [16669, 0.092], [16670, 0.083], + [16671, 0.087], [16672, 0.096], [16673, 0.093], [16674, 0.091], + [16675, 0.093], [16676, 0.079], [16677, 0.021], [16678, 0.033], + [16679, 0.039], [16680, 0.068], [16681, 0.04], [16682, 0.037], + [16683, 0.042], [16684, 0.051], [16685, 0.044], [16686, 0.034], + [16687, 0.082], [16688, 0.029], [16689, 0.029], [16690, 0.022], + [16691, 0.066], [16692, 0.082], [16693, 0.083], [16694, 0.086], + [16695, 0.065], [16707, 0.006], [16709, 0.003], [16710, 0.002], + [16713, 0.018], [16714, 0.01], [16715, 0.007], [16716, 0.01], + [16720, 0.029], [16721, 0.021], [16738, 0.06], [16739, 0.011], + [16740, 0.019], [16741, 0.033], [16742, 0.046], [16744, 0.01], + [16754, 0.015], [16758, 0.009], [16762, 0.007], [16794, 0.002], + [16829, 0.026], [16830, 0.008], [16834, 0.014], [16843, 0.004], + [16844, 0.012], [16864, 0.289], [16871, 0.22], [16878, 0.122], + [16989, 0.072], [17073, 0.009], [17077, 0.065], [17232, 0.18], + [17233, 0.327], [17234, 0.435], [17253, 0.403], [17531, 0.001], + [17533, 0.002], [17534, 0.002], [17538, 0.002], [17549, 0.002], + [17550, 0.003], [17553, 0.002], [17554, 0.003], [17560, 0.014], + [17561, 0.013], [17562, 0.01], [17563, 0.014], [17564, 0.01], + [17565, 0.02], [17566, 0.015], [17567, 0.013], [17568, 0.007], + [17569, 0.013], [17570, 0.013], [17571, 0.007], [17572, 0.008], + [17573, 0.004], [17574, 0.008], [17575, 0.014], [17576, 0.078], + [17577, 0.108], [17578, 0.049], [17579, 0.076], [17580, 0.082], + [17581, 0.082], [17582, 0.059], [17583, 0.068], [17584, 0.041], + [17585, 0.061], [17586, 0.05], [17587, 0.042], [17588, 0.041], + [17589, 0.046], [17590, 0.058], [17591, 0.107], [17592, 0.206], + [17593, 0.317], [17594, 0.126], [17595, 0.196], [17596, 0.185], + [17597, 0.203], [17598, 0.167], [17599, 0.141], [17600, 0.119], + [17601, 0.137], [17602, 0.125], [17603, 0.125], [17604, 0.111], + [17605, 0.179], [17606, 0.289], [17607, 0.326], [17608, 0.345], + [17609, 0.427], [17610, 0.289], [17611, 0.369], [17612, 0.324], + [17613, 0.322], [17614, 0.27], [17615, 0.309], [17616, 0.298], + [17617, 0.302], [17618, 0.27], [17619, 0.303], [17620, 0.293], + [17621, 0.412], [17622, 0.455], [17623, 0.426], [17624, 0.457], + [17625, 0.463], [17626, 0.464], [17627, 0.451], [17628, 0.447], + [17629, 0.438], [17630, 0.426], [17631, 0.458], [17632, 0.465], + [17633, 0.45], [17634, 0.442], [17635, 0.464], [17636, 0.459], + [17637, 0.469], [17638, 0.474], [17639, 0.466], [17640, 0.449], + [17641, 0.411], [17642, 0.417], [17643, 0.407], [17644, 0.428], + [17645, 0.404], [17646, 0.428], [17647, 0.424], [17648, 0.415], + [17649, 0.427], [17650, 0.432], [17651, 0.409], [17652, 0.405], + [17653, 0.424], [17654, 0.426], [17655, 0.424], [17656, 0.359], + [17657, 0.312], [17658, 0.327], [17659, 0.311], [17660, 0.322], + [17661, 0.328], [17662, 0.365], [17663, 0.331], [17664, 0.323], + [17665, 0.329], [17666, 0.365], [17667, 0.321], [17668, 0.332], + [17669, 0.339], [17670, 0.335], [17671, 0.33], [17672, 0.244], + [17673, 0.242], [17674, 0.229], [17675, 0.229], [17676, 0.237], + [17677, 0.253], [17678, 0.272], [17679, 0.227], [17680, 0.232], + [17681, 0.236], [17682, 0.262], [17683, 0.238], [17684, 0.248], + [17685, 0.258], [17686, 0.247], [17687, 0.244], [17688, 0.124], + [17689, 0.125], [17690, 0.106], [17691, 0.124], [17692, 0.124], + [17693, 0.133], [17694, 0.137], [17695, 0.106], [17696, 0.095], + [17697, 0.099], [17698, 0.129], [17699, 0.115], [17700, 0.119], + [17701, 0.135], [17702, 0.128], [17703, 0.127], [17704, 0.096], + [17705, 0.093], [17706, 0.065], [17707, 0.078], [17708, 0.08], + [17709, 0.087], [17710, 0.087], [17711, 0.066], [17712, 0.062], + [17713, 0.07], [17714, 0.074], [17715, 0.076], [17716, 0.08], + [17717, 0.095], [17718, 0.091], [17719, 0.093], [17720, 0.094], + [17721, 0.088], [17722, 0.073], [17723, 0.073], [17724, 0.076], + [17725, 0.085], [17726, 0.085], [17727, 0.092], [17736, 0.005], + [17737, 0.037], [17738, 0.113], [17739, 0.277], [17740, 0.457], + [17741, 0.417], [17742, 0.334], [17743, 0.255], [17744, 0.131], + [17745, 0.089], [18356, 0.006], [18357, 0.008], [18358, 0.007], + [18359, 0.009], [18379, 0.009], [18385, 0.006], [18386, 0.007], + [18389, 0.009], [18392, 0.016], [18393, 0.024], [18394, 0.026], + [18395, 0.033], [18405, 0.014], [18407, 0.007], [18414, 0.022], + [18415, 0.011], [18416, 0.011], [18417, 0.015], [18418, 0.013], + [18419, 0.011], [18420, 0.007], [18421, 0.051], [18422, 0.058], + [18423, 0.043], [18424, 0.029], [18425, 0.06], [18426, 0.051], + [18427, 0.006], [18428, 0.025], [18429, 0.053], [18430, 0.061], + [18431, 0.06], [18432, 0.009], [18433, 0.036], [18437, 0.033], + [18438, 0.067], [18441, 0.066], [18443, 0.033], [18449, 0.1], + [18450, 0.1], [18451, 0.379], [18452, 0.25], [18453, 0.267], + [18454, 0.233], [18455, 0.2], [18456, 0.133], [18457, 0.318], + [18458, 0.265], [18459, 0.199], [18460, 0.133], [18461, 0.285], + [18462, 0.232], [18463, 0.317], [18464, 0.34], [18465, 0.299], + [18466, 0.217], [18467, 0.209], [18468, 0.167], [18469, 0.166], + [18473, 0.112], [18474, 0.223], [18477, 0.151], [18479, 0.076], + [18485, 0.335], [18486, 0.227], [18487, 0.855], [18488, 0.855], + [18489, 0.892], [18490, 0.781], [18491, 0.669], [18492, 0.446], + [18493, 0.718], [18494, 0.605], [18495, 0.454], [18496, 0.303], + [18497, 0.702], [18498, 0.53], [18499, 0.85], [18500, 0.905], + [18501, 0.836], [18502, 0.714], [18503, 0.758], [18504, 0.558], + [18505, 0.378], [18509, 0.125], [18510, 0.25], [18513, 0.25], + [18515, 0.125], [18521, 0.375], [18522, 0.375], [18523, 0.933], + [18524, 0.953], [18525, 1.0], [18526, 0.875], [18527, 0.75], + [18528, 0.5], [18529, 0.951], [18530, 1.0], [18531, 0.75], + [18532, 0.5], [18533, 0.96], [18534, 0.875], [18535, 0.931], + [18536, 0.907], [18537, 0.858], [18538, 0.955], [18539, 0.939], + [18540, 0.625], [18541, 0.625], [18545, 0.099], [18546, 0.198], + [18549, 0.15], [18551, 0.075], [18557, 0.297], [18558, 0.225], + [18559, 0.611], [18560, 0.7], [18561, 0.791], [18562, 0.692], + [18563, 0.594], [18564, 0.396], [18565, 0.626], [18566, 0.6], + [18567, 0.45], [18568, 0.3], [18569, 0.66], [18570, 0.525], + [18571, 0.618], [18572, 0.628], [18573, 0.723], [18574, 0.714], + [18575, 0.86], [18576, 0.495], [18577, 0.375], [18581, 0.06], + [18582, 0.12], [18585, 0.042], [18587, 0.021], [18593, 0.18], + [18594, 0.063], [18595, 0.383], [18596, 0.462], [18597, 0.481], + [18598, 0.421], [18599, 0.361], [18600, 0.241], [18601, 0.292], + [18602, 0.167], [18603, 0.125], [18604, 0.084], [18605, 0.464], + [18606, 0.146], [18607, 0.405], [18608, 0.386], [18609, 0.424], + [18610, 0.486], [18611, 0.412], [18612, 0.301], [18613, 0.105], + [18617, 0.022], [18618, 0.043], [18621, 0.032], [18623, 0.016], + [18629, 0.065], [18630, 0.048], [18631, 0.167], [18632, 0.177], + [18633, 0.174], [18634, 0.152], [18635, 0.13], [18636, 0.087], + [18637, 0.147], [18638, 0.128], [18639, 0.096], [18640, 0.064], + [18641, 0.135], [18642, 0.112], [18643, 0.169], [18644, 0.182], + [18645, 0.2], [18646, 0.137], [18647, 0.202], [18648, 0.109], + [18649, 0.08], [18653, 0.018], [18654, 0.036], [18657, 0.046], + [18659, 0.023], [18665, 0.055], [18666, 0.069], [18667, 0.133], + [18668, 0.124], [18669, 0.146], [18670, 0.128], [18671, 0.109], + [18672, 0.073], [18673, 0.165], [18674, 0.183], [18675, 0.138], + [18676, 0.092], [18677, 0.184], [18678, 0.16], [18679, 0.142], + [18680, 0.151], [18681, 0.171], [18682, 0.156], [18683, 0.157], + [18684, 0.091], [18685, 0.115], [18689, 0.024], [18690, 0.048], + [18693, 0.047], [18695, 0.023], [18701, 0.072], [18702, 0.07], + [18703, 0.186], [18704, 0.192], [18705, 0.192], [18706, 0.168], + [18707, 0.144], [18708, 0.096], [18709, 0.183], [18710, 0.187], + [18711, 0.14], [18712, 0.094], [18713, 0.184], [18714, 0.164], + [18715, 0.185], [18716, 0.169], [18717, 0.161], [18718, 0.165], + [18719, 0.161], [18720, 0.12], [18721, 0.117] + ], + "lowerleg01.R": [ + [4511, 0.008], [4513, 0.014], [4514, 0.01], [4515, 0.019], + [4516, 0.017], [4520, 0.007], [4525, 0.014], [4529, 0.007], + [4530, 0.01], [4532, 0.033], [4533, 0.021], [4534, 0.04], + [4535, 0.037], [4536, 0.006], [4537, 0.01], [4538, 0.01], + [4539, 0.033], [4540, 0.013], [4541, 0.013], [4544, 0.042], + [4546, 0.024], [4547, 0.021], [4548, 0.017], [4549, 0.011], + [4550, 0.006], [4551, 0.045], [4552, 0.024], [4553, 0.052], + [4554, 0.051], [4555, 0.022], [4556, 0.019], [4557, 0.048], + [4558, 0.059], [4559, 0.02], [4560, 0.02], [4561, 0.008], + [4563, 0.053], [4565, 0.049], [4566, 0.042], [4567, 0.031], + [4568, 0.029], [4569, 0.021], [4570, 0.071], [4571, 0.042], + [4572, 0.079], [4573, 0.078], [4574, 0.062], [4575, 0.037], + [4576, 0.071], [4577, 0.073], [4578, 0.035], [4579, 0.037], + [4580, 0.016], [4581, 0.02], [4582, 0.076], [4583, 0.012], + [4584, 0.153], [4585, 0.169], [4586, 0.134], [4587, 0.122], + [4588, 0.133], [4589, 0.177], [4590, 0.147], [4591, 0.167], + [4592, 0.179], [4593, 0.171], [4594, 0.107], [4595, 0.149], + [4596, 0.145], [4597, 0.108], [4598, 0.115], [4599, 0.098], + [4600, 0.115], [4601, 0.147], [4602, 0.164], [4603, 0.252], + [4604, 0.302], [4605, 0.227], [4606, 0.234], [4607, 0.246], + [4608, 0.278], [4609, 0.248], [4610, 0.254], [4611, 0.282], + [4612, 0.286], [4613, 0.18], [4614, 0.266], [4615, 0.24], + [4616, 0.184], [4617, 0.2], [4618, 0.202], [4619, 0.221], + [4620, 0.223], [4621, 0.338], [4622, 0.438], [4623, 0.529], + [4624, 0.325], [4625, 0.385], [4626, 0.47], [4627, 0.481], + [4628, 0.414], [4629, 0.419], [4630, 0.477], [4631, 0.359], + [4632, 0.298], [4633, 0.348], [4634, 0.347], [4635, 0.298], + [4636, 0.298], [4637, 0.329], [4638, 0.354], [4639, 0.357], + [4640, 0.53], [4641, 0.573], [4642, 0.774], [4643, 0.45], + [4644, 0.538], [4645, 0.542], [4646, 0.615], [4647, 0.582], + [4648, 0.537], [4649, 0.609], [4650, 0.484], [4651, 0.424], + [4652, 0.502], [4653, 0.495], [4654, 0.44], [4655, 0.407], + [4656, 0.549], [4657, 0.75], [4658, 0.489], [4659, 0.789], + [4660, 0.78], [4661, 0.894], [4662, 0.691], [4663, 0.739], + [4664, 0.746], [4665, 0.807], [4666, 0.812], [4667, 0.666], + [4668, 0.718], [4669, 0.695], [4670, 0.707], [4671, 0.688], + [4672, 0.67], [4673, 0.714], [4674, 0.699], [4675, 0.874], + [4676, 0.933], [4677, 0.661], [4678, 0.893], [4679, 0.926], + [4680, 0.936], [4681, 0.94], [4682, 0.878], [4683, 0.909], + [4684, 0.934], [4685, 0.908], [4686, 0.869], [4687, 0.871], + [4688, 0.929], [4689, 0.943], [4690, 0.91], [4691, 0.891], + [4692, 0.941], [4693, 0.932], [4694, 0.947], [4695, 0.954], + [4696, 0.888], [4697, 0.943], [4698, 0.942], [4699, 0.916], + [4700, 0.912], [4701, 0.902], [4702, 0.926], [4703, 0.91], + [4704, 0.905], [4705, 0.939], [4706, 0.9], [4707, 0.926], + [4708, 0.907], [4709, 0.927], [4710, 0.93], [4711, 0.908], + [4712, 0.908], [4713, 0.926], [4714, 0.926], [4715, 0.933], + [4716, 0.924], [4717, 0.891], [4718, 0.808], [4719, 0.829], + [4720, 0.789], [4721, 0.846], [4722, 0.815], [4723, 0.815], + [4724, 0.876], [4725, 0.8], [4726, 0.848], [4727, 0.819], + [4728, 0.851], [4729, 0.857], [4730, 0.818], [4731, 0.809], + [4732, 0.839], [4733, 0.842], [4734, 0.864], [4735, 0.837], + [4736, 0.717], [4737, 0.623], [4738, 0.654], [4739, 0.572], + [4740, 0.645], [4741, 0.642], [4742, 0.616], [4743, 0.763], + [4744, 0.678], [4745, 0.661], [4746, 0.646], [4747, 0.666], + [4748, 0.696], [4749, 0.642], [4750, 0.664], [4751, 0.678], + [4752, 0.67], [4753, 0.725], [4754, 0.66], [4755, 0.487], + [4756, 0.483], [4757, 0.46], [4758, 0.439], [4759, 0.473], + [4760, 0.499], [4761, 0.445], [4762, 0.562], [4763, 0.525], + [4764, 0.452], [4765, 0.465], [4766, 0.455], [4767, 0.482], + [4768, 0.477], [4769, 0.496], [4770, 0.516], [4771, 0.493], + [4772, 0.511], [4773, 0.489], [4774, 0.215], [4775, 0.217], + [4776, 0.178], [4777, 0.215], [4778, 0.215], [4779, 0.23], + [4780, 0.218], [4781, 0.236], [4782, 0.234], [4783, 0.178], + [4784, 0.146], [4785, 0.19], [4786, 0.203], [4787, 0.202], + [4788, 0.201], [4789, 0.236], [4790, 0.221], [4791, 0.216], + [4792, 0.222], [4798, 0.162], [4799, 0.155], [4800, 0.147], + [4801, 0.137], [4802, 0.098], [4803, 0.18], [4804, 0.167], + [4805, 0.116], [4806, 0.12], [4807, 0.127], [4808, 0.151], + [4809, 0.132], [4810, 0.126], [4811, 0.141], [4812, 0.116], + [4813, 0.116], [4814, 0.122], [4815, 0.137], [4816, 0.147], + [4817, 0.164], [4818, 0.158], [4819, 0.123], [4820, 0.166], + [4821, 0.198], [4822, 0.184], [4823, 0.157], [4824, 0.162], + [4825, 0.163], [4826, 0.062], [4827, 0.159], [4828, 0.148], + [4829, 0.157], [4830, 0.149], [4831, 0.153], [4832, 0.148], + [4833, 0.157], [4834, 0.158], [4835, 0.182], [4836, 0.188], + [4837, 0.145], [4838, 0.206], [4839, 0.131], [4840, 0.125], + [4841, 0.13], [4842, 0.131], [4843, 0.147], [4844, 0.135], + [4845, 0.152], [4846, 0.127], [4941, 0.009], [4943, 0.002], + [4944, 0.006], [4979, 0.008], [4985, 0.003], [5776, 0.019], + [6022, 0.002], [6038, 0.002], [6098, 0.009], [6099, 0.009], + [6103, 0.009], [6118, 0.01], [6123, 0.007], [6235, 0.015], + [6236, 0.024], [6237, 0.02], [6238, 0.012], [6239, 0.094], + [6240, 0.051], [6241, 0.047], [6244, 0.023], [6245, 0.012], + [6246, 0.012], [6247, 0.032], [6248, 0.026], [6288, 0.073], + [6325, 0.082], [6326, 0.059], [6330, 0.184], [6331, 0.055], + [6338, 0.151], [6342, 0.072], [6343, 0.051], [6345, 0.118], + [6348, 0.117], [6349, 0.048], [6353, 0.039], [6357, 0.034], + [6358, 0.081], [6359, 0.063], [6360, 0.164], [6361, 0.169], + [6362, 0.061], [6363, 0.188], [6364, 0.194], [6365, 0.187], + [6366, 0.181], [6367, 0.186], [6368, 0.194], [6369, 0.03], + [6370, 0.031], [6372, 0.076], [6373, 0.126], [6374, 0.146], + [6375, 0.094], [6376, 0.102], [6377, 0.068], [6378, 0.098], + [6379, 0.114], [6381, 0.061], [6382, 0.05], [6383, 0.167], + [6384, 0.033], [6385, 0.034], [6386, 0.033], [6387, 0.142], + [6388, 0.041], [6389, 0.166], [6391, 0.08], [6401, 0.01], + [6402, 0.016], [6403, 0.028], [6404, 0.107], [6405, 0.186], + [6406, 0.279], [6407, 0.395], [6408, 0.676], [6409, 0.926], + [6410, 0.92], [6411, 0.822], [6412, 0.668], [6413, 0.512], + [6414, 0.23], [6415, 0.164], [6416, 0.16], [6417, 0.166], + [6429, 0.093], [6430, 0.054], [6432, 0.173], [6433, 0.136], + [6440, 0.068], [6482, 0.003], [6541, 0.003], [6556, 0.009], + [6590, 0.007], [6629, 0.008], [6639, 0.013], [6726, 0.003], + [6732, 0.004], [15328, 0.032], [15329, 0.068], [15330, 0.083], + [15331, 0.089], [15332, 0.078], [15333, 0.071], [15334, 0.068], + [15335, 0.07], [15336, 0.078], [15337, 0.076], [15338, 0.067], + [15339, 0.069], [15340, 0.066], [15341, 0.067], [15342, 0.099], + [15343, 0.093], [15344, 0.077], [15345, 0.08], [15346, 0.085], + [15347, 0.077], [15348, 0.074], [15349, 0.076], [15350, 0.072], + [15351, 0.078], [15352, 0.079], [15353, 0.09], [15354, 0.094], + [15355, 0.072], [15356, 0.101], [15357, 0.067], [15358, 0.065], + [15359, 0.067], [15360, 0.074], [15361, 0.065], [15362, 0.078], + [15363, 0.063], [15364, 0.04], [15365, 0.092], [15366, 0.083], + [15367, 0.087], [15368, 0.096], [15369, 0.093], [15370, 0.091], + [15371, 0.093], [15372, 0.079], [15373, 0.021], [15374, 0.033], + [15375, 0.039], [15376, 0.068], [15377, 0.04], [15378, 0.037], + [15379, 0.042], [15380, 0.051], [15381, 0.044], [15382, 0.034], + [15383, 0.082], [15384, 0.029], [15385, 0.029], [15386, 0.022], + [15387, 0.066], [15388, 0.082], [15389, 0.083], [15390, 0.086], + [15391, 0.065], [15403, 0.006], [15405, 0.003], [15406, 0.002], + [15409, 0.018], [15410, 0.01], [15411, 0.007], [15412, 0.01], + [15416, 0.029], [15417, 0.021], [15434, 0.06], [15435, 0.011], + [15436, 0.019], [15437, 0.033], [15438, 0.046], [15440, 0.01], + [15450, 0.015], [15454, 0.009], [15458, 0.007], [15490, 0.002], + [15525, 0.026], [15526, 0.008], [15530, 0.014], [15539, 0.004], + [15540, 0.012], [15560, 0.289], [15567, 0.22], [15574, 0.122], + [15677, 0.072], [15757, 0.009], [15760, 0.065], [15913, 0.18], + [15914, 0.327], [15915, 0.435], [15934, 0.403], [16202, 0.001], + [16204, 0.002], [16205, 0.002], [16209, 0.002], [16220, 0.002], + [16221, 0.003], [16224, 0.002], [16225, 0.003], [16231, 0.014], + [16232, 0.013], [16233, 0.01], [16234, 0.014], [16235, 0.01], + [16236, 0.02], [16237, 0.015], [16238, 0.013], [16239, 0.007], + [16240, 0.013], [16241, 0.013], [16242, 0.007], [16243, 0.008], + [16244, 0.004], [16245, 0.008], [16246, 0.014], [16247, 0.078], + [16248, 0.108], [16249, 0.049], [16250, 0.076], [16251, 0.082], + [16252, 0.082], [16253, 0.059], [16254, 0.068], [16255, 0.041], + [16256, 0.061], [16257, 0.05], [16258, 0.042], [16259, 0.041], + [16260, 0.046], [16261, 0.058], [16262, 0.107], [16263, 0.206], + [16264, 0.317], [16265, 0.126], [16266, 0.196], [16267, 0.185], + [16268, 0.203], [16269, 0.167], [16270, 0.141], [16271, 0.119], + [16272, 0.137], [16273, 0.125], [16274, 0.125], [16275, 0.111], + [16276, 0.179], [16277, 0.289], [16278, 0.326], [16279, 0.345], + [16280, 0.427], [16281, 0.289], [16282, 0.369], [16283, 0.324], + [16284, 0.322], [16285, 0.27], [16286, 0.309], [16287, 0.298], + [16288, 0.302], [16289, 0.27], [16290, 0.303], [16291, 0.293], + [16292, 0.412], [16293, 0.455], [16294, 0.426], [16295, 0.457], + [16296, 0.463], [16297, 0.464], [16298, 0.451], [16299, 0.447], + [16300, 0.438], [16301, 0.426], [16302, 0.458], [16303, 0.465], + [16304, 0.45], [16305, 0.442], [16306, 0.464], [16307, 0.459], + [16308, 0.469], [16309, 0.474], [16310, 0.466], [16311, 0.449], + [16312, 0.411], [16313, 0.417], [16314, 0.407], [16315, 0.428], + [16316, 0.404], [16317, 0.428], [16318, 0.424], [16319, 0.415], + [16320, 0.427], [16321, 0.432], [16322, 0.409], [16323, 0.405], + [16324, 0.424], [16325, 0.426], [16326, 0.424], [16327, 0.359], + [16328, 0.312], [16329, 0.327], [16330, 0.311], [16331, 0.322], + [16332, 0.328], [16333, 0.365], [16334, 0.331], [16335, 0.323], + [16336, 0.329], [16337, 0.365], [16338, 0.321], [16339, 0.332], + [16340, 0.339], [16341, 0.335], [16342, 0.33], [16343, 0.244], + [16344, 0.242], [16345, 0.229], [16346, 0.229], [16347, 0.237], + [16348, 0.253], [16349, 0.272], [16350, 0.227], [16351, 0.232], + [16352, 0.236], [16353, 0.262], [16354, 0.238], [16355, 0.248], + [16356, 0.258], [16357, 0.247], [16358, 0.244], [16359, 0.124], + [16360, 0.125], [16361, 0.106], [16362, 0.124], [16363, 0.124], + [16364, 0.133], [16365, 0.137], [16366, 0.106], [16367, 0.095], + [16368, 0.099], [16369, 0.129], [16370, 0.115], [16371, 0.119], + [16372, 0.135], [16373, 0.128], [16374, 0.127], [16375, 0.096], + [16376, 0.093], [16377, 0.065], [16378, 0.078], [16379, 0.08], + [16380, 0.087], [16381, 0.087], [16382, 0.066], [16383, 0.062], + [16384, 0.07], [16385, 0.074], [16386, 0.076], [16387, 0.08], + [16388, 0.095], [16389, 0.091], [16390, 0.093], [16391, 0.094], + [16392, 0.088], [16393, 0.073], [16394, 0.073], [16395, 0.076], + [16396, 0.085], [16397, 0.085], [16398, 0.092], [16407, 0.005], + [16408, 0.037], [16409, 0.113], [16410, 0.277], [16411, 0.457], + [16412, 0.417], [16413, 0.334], [16414, 0.255], [16415, 0.131], + [16416, 0.089], [18337, 0.006], [18338, 0.008], [18339, 0.007], + [18340, 0.009], [18362, 0.009], [18367, 0.006], [18368, 0.007], + [18370, 0.009], [18373, 0.016], [18374, 0.024], [18375, 0.026], + [18376, 0.033], [18398, 0.011], [18399, 0.011], [18400, 0.015], + [18401, 0.013], [18402, 0.011], [18403, 0.051], [18404, 0.058], + [18405, 0.043], [18406, 0.06], [18407, 0.051], [18408, 0.006], + [18409, 0.025], [18410, 0.053], [18411, 0.061], [18412, 0.06], + [18413, 0.009], [18414, 0.036], [18420, 0.007], [18423, 0.014], + [18424, 0.029], [18426, 0.007], [18433, 0.022], [18434, 0.379], + [18435, 0.25], [18436, 0.267], [18437, 0.233], [18438, 0.2], + [18439, 0.318], [18440, 0.265], [18441, 0.199], [18442, 0.285], + [18443, 0.232], [18444, 0.317], [18445, 0.34], [18446, 0.299], + [18447, 0.217], [18448, 0.209], [18449, 0.167], [18450, 0.166], + [18454, 0.033], [18455, 0.067], [18456, 0.133], [18459, 0.066], + [18460, 0.133], [18462, 0.033], [18468, 0.1], [18469, 0.1], + [18470, 0.855], [18471, 0.855], [18472, 0.892], [18473, 0.781], + [18474, 0.669], [18475, 0.718], [18476, 0.605], [18477, 0.454], + [18478, 0.702], [18479, 0.53], [18480, 0.85], [18481, 0.905], + [18482, 0.836], [18483, 0.714], [18484, 0.758], [18485, 0.558], + [18486, 0.378], [18490, 0.112], [18491, 0.223], [18492, 0.446], + [18495, 0.151], [18496, 0.303], [18498, 0.076], [18504, 0.335], + [18505, 0.227], [18506, 0.933], [18507, 0.953], [18508, 1.0], + [18509, 0.875], [18510, 0.75], [18511, 0.951], [18512, 1.0], + [18513, 0.75], [18514, 0.96], [18515, 0.875], [18516, 0.931], + [18517, 0.907], [18518, 0.858], [18519, 0.955], [18520, 0.939], + [18521, 0.625], [18522, 0.625], [18526, 0.125], [18527, 0.25], + [18528, 0.5], [18531, 0.25], [18532, 0.5], [18534, 0.125], + [18540, 0.375], [18541, 0.375], [18542, 0.611], [18543, 0.7], + [18544, 0.791], [18545, 0.692], [18546, 0.594], [18547, 0.626], + [18548, 0.6], [18549, 0.45], [18550, 0.66], [18551, 0.525], + [18552, 0.618], [18553, 0.628], [18554, 0.723], [18555, 0.714], + [18556, 0.86], [18557, 0.495], [18558, 0.375], [18562, 0.099], + [18563, 0.198], [18564, 0.396], [18567, 0.15], [18568, 0.3], + [18570, 0.075], [18576, 0.297], [18577, 0.225], [18578, 0.383], + [18579, 0.462], [18580, 0.481], [18581, 0.421], [18582, 0.361], + [18583, 0.292], [18584, 0.167], [18585, 0.125], [18586, 0.464], + [18587, 0.146], [18588, 0.405], [18589, 0.386], [18590, 0.424], + [18591, 0.486], [18592, 0.412], [18593, 0.301], [18594, 0.105], + [18598, 0.06], [18599, 0.12], [18600, 0.241], [18603, 0.042], + [18604, 0.084], [18606, 0.021], [18612, 0.18], [18613, 0.063], + [18614, 0.167], [18615, 0.177], [18616, 0.174], [18617, 0.152], + [18618, 0.13], [18619, 0.147], [18620, 0.128], [18621, 0.096], + [18622, 0.135], [18623, 0.112], [18624, 0.169], [18625, 0.182], + [18626, 0.2], [18627, 0.137], [18628, 0.202], [18629, 0.109], + [18630, 0.08], [18634, 0.022], [18635, 0.043], [18636, 0.087], + [18639, 0.032], [18640, 0.064], [18642, 0.016], [18648, 0.065], + [18649, 0.048], [18650, 0.133], [18651, 0.124], [18652, 0.146], + [18653, 0.128], [18654, 0.109], [18655, 0.165], [18656, 0.183], + [18657, 0.138], [18658, 0.184], [18659, 0.16], [18660, 0.142], + [18661, 0.151], [18662, 0.171], [18663, 0.156], [18664, 0.157], + [18665, 0.091], [18666, 0.115], [18670, 0.018], [18671, 0.036], + [18672, 0.073], [18675, 0.046], [18676, 0.092], [18678, 0.023], + [18684, 0.055], [18685, 0.069], [18686, 0.186], [18687, 0.192], + [18688, 0.192], [18689, 0.168], [18690, 0.144], [18691, 0.183], + [18692, 0.187], [18693, 0.14], [18694, 0.184], [18695, 0.164], + [18696, 0.185], [18697, 0.169], [18698, 0.161], [18699, 0.165], + [18700, 0.161], [18701, 0.12], [18702, 0.117], [18706, 0.024], + [18707, 0.048], [18708, 0.096], [18711, 0.047], [18712, 0.094], + [18714, 0.023], [18720, 0.072], [18721, 0.07] + ], + "lowerleg02.L": [ + [4672, 0.005], [11278, 0.015], [11279, 0.022], [11280, 0.022], + [11281, 0.029], [11282, 0.02], [11283, 0.023], [11284, 0.025], + [11285, 0.016], [11286, 0.025], [11287, 0.019], [11288, 0.023], + [11289, 0.019], [11290, 0.018], [11291, 0.023], [11292, 0.023], + [11293, 0.02], [11294, 0.02], [11295, 0.018], [11296, 0.02], + [11297, 0.03], [11298, 0.044], [11299, 0.044], [11300, 0.056], + [11301, 0.038], [11302, 0.045], [11303, 0.049], [11304, 0.031], + [11305, 0.049], [11306, 0.038], [11307, 0.046], [11308, 0.038], + [11309, 0.036], [11310, 0.046], [11311, 0.046], [11312, 0.038], + [11313, 0.038], [11314, 0.034], [11315, 0.039], [11316, 0.058], + [11317, 0.084], [11318, 0.088], [11319, 0.098], [11320, 0.074], + [11321, 0.09], [11322, 0.095], [11323, 0.061], [11324, 0.101], + [11325, 0.074], [11326, 0.093], [11327, 0.073], [11328, 0.07], + [11329, 0.093], [11330, 0.092], [11331, 0.074], [11332, 0.074], + [11333, 0.068], [11334, 0.076], [11335, 0.109], [11336, 0.192], + [11337, 0.171], [11338, 0.211], [11339, 0.154], [11340, 0.185], + [11341, 0.185], [11342, 0.124], [11343, 0.2], [11344, 0.152], + [11345, 0.181], [11346, 0.149], [11347, 0.143], [11348, 0.182], + [11349, 0.191], [11350, 0.161], [11351, 0.158], [11352, 0.136], + [11353, 0.163], [11354, 0.271], [11355, 0.368], [11356, 0.33], + [11357, 0.419], [11358, 0.346], [11359, 0.347], [11360, 0.373], + [11361, 0.227], [11362, 0.315], [11363, 0.322], [11364, 0.339], + [11365, 0.318], [11366, 0.288], [11367, 0.342], [11368, 0.323], + [11369, 0.319], [11370, 0.324], [11371, 0.261], [11372, 0.333], + [11373, 0.492], [11374, 0.499], [11375, 0.51], [11376, 0.546], + [11377, 0.51], [11378, 0.482], [11379, 0.536], [11380, 0.415], + [11381, 0.459], [11382, 0.515], [11383, 0.505], [11384, 0.513], + [11385, 0.485], [11386, 0.494], [11387, 0.478], [11388, 0.476], + [11389, 0.495], [11390, 0.459], [11391, 0.498], [11392, 0.738], + [11393, 0.74], [11394, 0.752], [11395, 0.751], [11396, 0.745], + [11397, 0.723], [11398, 0.74], [11399, 0.713], [11400, 0.728], + [11401, 0.75], [11402, 0.783], [11403, 0.74], [11404, 0.725], + [11405, 0.728], [11406, 0.739], [11407, 0.746], [11408, 0.753], + [11409, 0.717], [11410, 0.747], [11416, 0.713], [11417, 0.692], + [11418, 0.607], [11419, 0.655], [11420, 0.551], [11421, 0.74], + [11422, 0.758], [11423, 0.762], [11424, 0.816], [11425, 0.802], + [11426, 0.768], [11427, 0.79], [11428, 0.754], [11429, 0.768], + [11430, 0.757], [11431, 0.767], [11432, 0.753], [11433, 0.743], + [11434, 0.751], [11435, 0.805], [11436, 0.796], [11437, 0.748], + [11438, 0.78], [11439, 0.647], [11440, 0.672], [11441, 0.62], + [11442, 0.721], [11443, 0.706], [11444, 0.297], [11445, 0.697], + [11446, 0.63], [11447, 0.675], [11448, 0.614], [11449, 0.627], + [11450, 0.618], [11451, 0.619], [11452, 0.646], [11453, 0.758], + [11454, 0.726], [11455, 0.615], [11456, 0.693], [11457, 0.513], + [11458, 0.52], [11459, 0.584], [11460, 0.494], [11461, 0.512], + [11462, 0.493], [11463, 0.505], [11464, 0.493], [12464, 0.024], + [12816, 0.049], [12818, 0.093], [12819, 0.092], [12821, 0.084], + [12822, 0.085], [12824, 0.096], [12826, 0.113], [12827, 0.089], + [12828, 0.09], [12829, 0.105], [12830, 0.111], [12831, 0.153], + [12832, 0.208], [12833, 0.205], [12834, 0.174], [12835, 0.178], + [12836, 0.059], [12837, 0.306], [12838, 0.196], [12841, 0.223], + [12842, 0.185], [12843, 0.193], [12844, 0.234], [12845, 0.249], + [12885, 0.509], [12919, 0.018], [12921, 0.064], [12922, 0.346], + [12923, 0.172], [12924, 0.028], [12927, 0.709], [12928, 0.076], + [12935, 0.491], [12937, 0.013], [12938, 0.086], [12939, 0.284], + [12940, 0.301], [12941, 0.009], [12942, 0.447], [12943, 0.071], + [12944, 0.039], [12945, 0.44], [12946, 0.279], [12947, 0.008], + [12948, 0.037], [12949, 0.072], [12950, 0.226], [12951, 0.062], + [12952, 0.022], [12954, 0.191], [12955, 0.38], [12956, 0.383], + [12957, 0.534], [12958, 0.601], [12959, 0.349], [12960, 0.604], + [12961, 0.579], [12962, 0.64], [12963, 0.57], [12964, 0.665], + [12965, 0.616], [12966, 0.365], [12967, 0.398], [12968, 0.1], + [12969, 0.44], [12970, 0.041], [12971, 0.589], [12972, 0.525], + [12973, 0.504], [12974, 0.582], [12975, 0.534], [12976, 0.531], + [12977, 0.017], [12978, 0.434], [12979, 0.387], [12980, 0.64], + [12981, 0.377], [12982, 0.354], [12983, 0.371], [12984, 0.579], + [12985, 0.395], [12986, 0.049], [12988, 0.039], [13005, 0.021], + [13006, 0.041], [13007, 0.08], [13008, 0.177], [13009, 0.324], + [13010, 0.47], [13011, 0.73], [13012, 0.771], [13013, 0.77], + [13014, 0.699], [13024, 0.021], [13025, 0.133], [13026, 0.376], + [13027, 0.25], [13028, 0.609], [13029, 0.506], [13030, 0.02], + [13035, 0.094], [13036, 0.332], [13038, 0.006], [13830, 1.0], + [13831, 1.0], [13832, 1.0], [13833, 1.0], [13834, 1.0], + [13835, 1.0], [13836, 1.0], [13837, 1.0], [16632, 0.233], + [16633, 0.39], [16634, 0.354], [16635, 0.306], [16636, 0.347], + [16637, 0.315], [16638, 0.346], [16639, 0.383], [16640, 0.367], + [16641, 0.369], [16642, 0.343], [16643, 0.347], [16644, 0.35], + [16645, 0.353], [16646, 0.324], [16647, 0.335], [16648, 0.304], + [16649, 0.343], [16650, 0.343], [16651, 0.334], [16652, 0.3], + [16653, 0.306], [16654, 0.301], [16655, 0.302], [16656, 0.316], + [16657, 0.375], [16658, 0.363], [16659, 0.306], [16660, 0.345], + [16661, 0.262], [16662, 0.292], [16663, 0.254], [16664, 0.263], + [16665, 0.246], [16666, 0.256], [16667, 0.257], [16668, 0.227], + [16669, 0.355], [16670, 0.276], [16671, 0.294], [16672, 0.289], + [16673, 0.32], [16674, 0.287], [16675, 0.332], [16676, 0.295], + [16677, 0.197], [16678, 0.212], [16679, 0.219], [16680, 0.268], + [16681, 0.227], [16682, 0.202], [16683, 0.211], [16684, 0.237], + [16685, 0.23], [16686, 0.212], [16687, 0.301], [16688, 0.206], + [16689, 0.198], [16690, 0.191], [16691, 0.264], [16692, 0.367], + [16693, 0.346], [16694, 0.304], [16695, 0.245], [16707, 0.077], + [16708, 0.058], [16709, 0.071], [16710, 0.054], [16711, 0.055], + [16713, 0.136], [16714, 0.131], [16715, 0.102], [16716, 0.093], + [16719, 0.001], [16720, 0.133], [16721, 0.105], [16728, 0.007], + [16730, 0.002], [16738, 0.055], [16739, 0.055], [16740, 0.021], + [16741, 0.019], [16742, 0.018], [16743, 0.008], [16744, 0.072], + [16754, 0.093], [16758, 0.077], [16761, 0.003], [16762, 0.069], + [16829, 0.141], [16830, 0.098], [16833, 0.047], [16834, 0.09], + [16836, 0.018], [16837, 0.004], [16838, 0.011], [16843, 0.068], + [16844, 0.126], [16849, 0.007], [16850, 0.011], [16851, 0.017], + [16853, 0.027], [16864, 0.207], [16871, 0.272], [16878, 0.362], + [16989, 0.398], [17233, 0.012], [17234, 0.032], [17253, 0.097], + [17608, 0.007], [17609, 0.011], [17610, 0.009], [17611, 0.011], + [17612, 0.009], [17613, 0.009], [17614, 0.006], [17615, 0.009], + [17616, 0.01], [17617, 0.009], [17618, 0.007], [17619, 0.01], + [17620, 0.01], [17621, 0.009], [17622, 0.01], [17623, 0.01], + [17624, 0.018], [17625, 0.024], [17626, 0.027], [17627, 0.029], + [17628, 0.023], [17629, 0.029], [17630, 0.019], [17631, 0.025], + [17632, 0.029], [17633, 0.025], [17634, 0.023], [17635, 0.029], + [17636, 0.029], [17637, 0.021], [17638, 0.021], [17639, 0.022], + [17640, 0.051], [17641, 0.089], [17642, 0.083], [17643, 0.093], + [17644, 0.072], [17645, 0.096], [17646, 0.072], [17647, 0.075], + [17648, 0.085], [17649, 0.073], [17650, 0.068], [17651, 0.091], + [17652, 0.095], [17653, 0.076], [17654, 0.074], [17655, 0.076], + [17656, 0.136], [17657, 0.184], [17658, 0.165], [17659, 0.183], + [17660, 0.173], [17661, 0.168], [17662, 0.13], [17663, 0.161], + [17664, 0.169], [17665, 0.162], [17666, 0.128], [17667, 0.171], + [17668, 0.162], [17669, 0.159], [17670, 0.162], [17671, 0.167], + [17672, 0.246], [17673, 0.249], [17674, 0.255], [17675, 0.261], + [17676, 0.255], [17677, 0.238], [17678, 0.218], [17679, 0.257], + [17680, 0.253], [17681, 0.248], [17682, 0.224], [17683, 0.247], + [17684, 0.239], [17685, 0.238], [17686, 0.248], [17687, 0.249], + [17688, 0.354], [17689, 0.355], [17690, 0.361], [17691, 0.356], + [17692, 0.358], [17693, 0.347], [17694, 0.343], [17695, 0.36], + [17696, 0.372], [17697, 0.365], [17698, 0.341], [17699, 0.353], + [17700, 0.353], [17701, 0.355], [17702, 0.36], [17703, 0.358], + [17704, 0.37], [17705, 0.375], [17706, 0.381], [17707, 0.387], + [17708, 0.39], [17709, 0.379], [17710, 0.379], [17711, 0.378], + [17712, 0.386], [17713, 0.373], [17714, 0.372], [17715, 0.37], + [17716, 0.373], [17717, 0.39], [17718, 0.39], [17719, 0.384], + [17720, 0.347], [17721, 0.358], [17722, 0.372], [17723, 0.34], + [17724, 0.349], [17725, 0.391], [17726, 0.385], [17727, 0.367], + [17739, 0.009], [17740, 0.026], [17741, 0.083], [17742, 0.162], + [17743, 0.236], [17744, 0.349], [17745, 0.38], [18487, 0.008], + [18499, 0.009], [18523, 0.067], [18524, 0.047], [18529, 0.049], + [18533, 0.04], [18535, 0.069], [18536, 0.093], [18537, 0.142], + [18538, 0.045], [18539, 0.061], [18545, 0.026], [18546, 0.052], + [18549, 0.1], [18551, 0.05], [18557, 0.078], [18558, 0.15], + [18559, 0.389], [18560, 0.3], [18561, 0.209], [18562, 0.183], + [18563, 0.156], [18564, 0.104], [18565, 0.374], [18566, 0.4], + [18567, 0.3], [18568, 0.2], [18569, 0.34], [18570, 0.35], + [18571, 0.382], [18572, 0.371], [18573, 0.277], [18574, 0.286], + [18575, 0.14], [18576, 0.131], [18577, 0.25], [18581, 0.065], + [18582, 0.13], [18585, 0.208], [18587, 0.104], [18593, 0.195], + [18594, 0.312], [18595, 0.617], [18596, 0.538], [18597, 0.519], + [18598, 0.454], [18599, 0.389], [18600, 0.259], [18601, 0.707], + [18602, 0.833], [18603, 0.625], [18604, 0.416], [18605, 0.536], + [18606, 0.729], [18607, 0.595], [18608, 0.614], [18609, 0.576], + [18610, 0.514], [18611, 0.588], [18612, 0.324], [18613, 0.521], + [18617, 0.103], [18618, 0.207], [18621, 0.218], [18623, 0.109], + [18629, 0.31], [18630, 0.327], [18631, 0.833], [18632, 0.823], + [18633, 0.826], [18634, 0.723], [18635, 0.62], [18636, 0.413], + [18637, 0.853], [18638, 0.872], [18639, 0.654], [18640, 0.436], + [18641, 0.865], [18642, 0.763], [18643, 0.831], [18644, 0.818], + [18645, 0.8], [18646, 0.863], [18647, 0.798], [18648, 0.516], + [18649, 0.545], [18653, 0.107], [18654, 0.213], [18657, 0.204], + [18659, 0.102], [18665, 0.32], [18666, 0.306], [18667, 0.867], + [18668, 0.876], [18669, 0.854], [18670, 0.747], [18671, 0.641], + [18672, 0.427], [18673, 0.835], [18674, 0.817], [18675, 0.613], + [18676, 0.408], [18677, 0.816], [18678, 0.715], [18679, 0.858], + [18680, 0.849], [18681, 0.829], [18682, 0.844], [18683, 0.843], + [18684, 0.534], [18685, 0.51], [18689, 0.101], [18690, 0.202], + [18693, 0.203], [18695, 0.102], [18701, 0.303], [18702, 0.305], + [18703, 0.814], [18704, 0.808], [18705, 0.808], [18706, 0.707], + [18707, 0.606], [18708, 0.404], [18709, 0.817], [18710, 0.813], + [18711, 0.61], [18712, 0.407], [18713, 0.816], [18714, 0.711], + [18715, 0.815], [18716, 0.831], [18717, 0.839], [18718, 0.835], + [18719, 0.84], [18720, 0.505], [18721, 0.508] + ], + "lowerleg02.R": [ + [4660, 0.015], [4661, 0.022], [4662, 0.022], [4663, 0.029], + [4664, 0.02], [4665, 0.023], [4666, 0.025], [4667, 0.016], + [4668, 0.025], [4669, 0.019], [4670, 0.023], [4671, 0.019], + [4672, 0.018], [4673, 0.023], [4674, 0.023], [4675, 0.02], + [4676, 0.02], [4677, 0.018], [4678, 0.02], [4679, 0.03], + [4680, 0.044], [4681, 0.044], [4682, 0.056], [4683, 0.038], + [4684, 0.045], [4685, 0.049], [4686, 0.031], [4687, 0.049], + [4688, 0.038], [4689, 0.046], [4690, 0.038], [4691, 0.036], + [4692, 0.046], [4693, 0.046], [4694, 0.038], [4695, 0.038], + [4696, 0.034], [4697, 0.039], [4698, 0.058], [4699, 0.084], + [4700, 0.088], [4701, 0.098], [4702, 0.074], [4703, 0.09], + [4704, 0.095], [4705, 0.061], [4706, 0.101], [4707, 0.074], + [4708, 0.093], [4709, 0.073], [4710, 0.07], [4711, 0.093], + [4712, 0.092], [4713, 0.074], [4714, 0.074], [4715, 0.068], + [4716, 0.076], [4717, 0.109], [4718, 0.192], [4719, 0.171], + [4720, 0.211], [4721, 0.154], [4722, 0.185], [4723, 0.185], + [4724, 0.124], [4725, 0.2], [4726, 0.152], [4727, 0.181], + [4728, 0.149], [4729, 0.143], [4730, 0.182], [4731, 0.191], + [4732, 0.161], [4733, 0.158], [4734, 0.136], [4735, 0.163], + [4736, 0.271], [4737, 0.368], [4738, 0.33], [4739, 0.419], + [4740, 0.346], [4741, 0.347], [4742, 0.373], [4743, 0.227], + [4744, 0.315], [4745, 0.322], [4746, 0.339], [4747, 0.318], + [4748, 0.288], [4749, 0.342], [4750, 0.323], [4751, 0.319], + [4752, 0.324], [4753, 0.261], [4754, 0.333], [4755, 0.492], + [4756, 0.499], [4757, 0.51], [4758, 0.546], [4759, 0.51], + [4760, 0.482], [4761, 0.536], [4762, 0.415], [4763, 0.459], + [4764, 0.515], [4765, 0.505], [4766, 0.513], [4767, 0.485], + [4768, 0.494], [4769, 0.478], [4770, 0.476], [4771, 0.495], + [4772, 0.459], [4773, 0.498], [4774, 0.738], [4775, 0.74], + [4776, 0.752], [4777, 0.751], [4778, 0.745], [4779, 0.723], + [4780, 0.74], [4781, 0.713], [4782, 0.728], [4783, 0.75], + [4784, 0.783], [4785, 0.74], [4786, 0.725], [4787, 0.728], + [4788, 0.739], [4789, 0.746], [4790, 0.753], [4791, 0.717], + [4792, 0.747], [4798, 0.713], [4799, 0.692], [4800, 0.607], + [4801, 0.655], [4802, 0.551], [4803, 0.74], [4804, 0.758], + [4805, 0.762], [4806, 0.816], [4807, 0.802], [4808, 0.768], + [4809, 0.79], [4810, 0.754], [4811, 0.768], [4812, 0.757], + [4813, 0.767], [4814, 0.753], [4815, 0.743], [4816, 0.751], + [4817, 0.805], [4818, 0.796], [4819, 0.748], [4820, 0.78], + [4821, 0.647], [4822, 0.672], [4823, 0.62], [4824, 0.721], + [4825, 0.706], [4826, 0.297], [4827, 0.697], [4828, 0.63], + [4829, 0.675], [4830, 0.614], [4831, 0.627], [4832, 0.618], + [4833, 0.619], [4834, 0.646], [4835, 0.758], [4836, 0.726], + [4837, 0.615], [4838, 0.693], [4839, 0.513], [4840, 0.52], + [4841, 0.584], [4842, 0.494], [4843, 0.512], [4844, 0.493], + [4845, 0.505], [4846, 0.493], [5867, 0.024], [6219, 0.049], + [6221, 0.093], [6222, 0.092], [6224, 0.084], [6225, 0.085], + [6227, 0.096], [6229, 0.113], [6230, 0.089], [6231, 0.09], + [6232, 0.105], [6233, 0.111], [6234, 0.153], [6235, 0.208], + [6236, 0.205], [6237, 0.174], [6238, 0.178], [6239, 0.059], + [6240, 0.306], [6241, 0.196], [6244, 0.223], [6245, 0.185], + [6246, 0.193], [6247, 0.234], [6248, 0.249], [6288, 0.509], + [6322, 0.018], [6324, 0.064], [6325, 0.346], [6326, 0.172], + [6327, 0.028], [6330, 0.709], [6331, 0.076], [6338, 0.491], + [6340, 0.013], [6341, 0.086], [6342, 0.284], [6343, 0.301], + [6344, 0.009], [6345, 0.447], [6346, 0.071], [6347, 0.039], + [6348, 0.44], [6349, 0.279], [6350, 0.008], [6351, 0.037], + [6352, 0.072], [6353, 0.226], [6354, 0.062], [6355, 0.022], + [6357, 0.191], [6358, 0.38], [6359, 0.383], [6360, 0.534], + [6361, 0.601], [6362, 0.349], [6363, 0.604], [6364, 0.579], + [6365, 0.64], [6366, 0.57], [6367, 0.665], [6368, 0.616], + [6369, 0.365], [6370, 0.398], [6371, 0.1], [6372, 0.44], + [6373, 0.041], [6374, 0.589], [6375, 0.525], [6376, 0.504], + [6377, 0.582], [6378, 0.534], [6379, 0.531], [6380, 0.017], + [6381, 0.434], [6382, 0.387], [6383, 0.64], [6384, 0.377], + [6385, 0.354], [6386, 0.371], [6387, 0.579], [6388, 0.395], + [6389, 0.049], [6391, 0.039], [6408, 0.021], [6409, 0.041], + [6410, 0.08], [6411, 0.177], [6412, 0.324], [6413, 0.47], + [6414, 0.73], [6415, 0.771], [6416, 0.77], [6417, 0.699], + [6427, 0.021], [6428, 0.133], [6429, 0.376], [6430, 0.25], + [6432, 0.609], [6433, 0.506], [6434, 0.02], [6439, 0.094], + [6440, 0.332], [6442, 0.006], [11290, 0.005], [14270, 1.0], + [14271, 1.0], [14272, 1.0], [14273, 1.0], [14274, 1.0], + [14275, 1.0], [14276, 1.0], [14277, 1.0], [15328, 0.233], + [15329, 0.39], [15330, 0.354], [15331, 0.306], [15332, 0.347], + [15333, 0.315], [15334, 0.346], [15335, 0.383], [15336, 0.367], + [15337, 0.369], [15338, 0.343], [15339, 0.347], [15340, 0.35], + [15341, 0.353], [15342, 0.324], [15343, 0.335], [15344, 0.304], + [15345, 0.343], [15346, 0.343], [15347, 0.334], [15348, 0.3], + [15349, 0.306], [15350, 0.301], [15351, 0.302], [15352, 0.316], + [15353, 0.375], [15354, 0.363], [15355, 0.306], [15356, 0.345], + [15357, 0.262], [15358, 0.292], [15359, 0.254], [15360, 0.263], + [15361, 0.246], [15362, 0.256], [15363, 0.257], [15364, 0.227], + [15365, 0.355], [15366, 0.276], [15367, 0.294], [15368, 0.289], + [15369, 0.32], [15370, 0.287], [15371, 0.332], [15372, 0.295], + [15373, 0.197], [15374, 0.212], [15375, 0.219], [15376, 0.268], + [15377, 0.227], [15378, 0.202], [15379, 0.211], [15380, 0.237], + [15381, 0.23], [15382, 0.212], [15383, 0.301], [15384, 0.206], + [15385, 0.198], [15386, 0.191], [15387, 0.264], [15388, 0.367], + [15389, 0.346], [15390, 0.304], [15391, 0.245], [15403, 0.077], + [15404, 0.058], [15405, 0.071], [15406, 0.054], [15407, 0.055], + [15409, 0.136], [15410, 0.131], [15411, 0.102], [15412, 0.093], + [15415, 0.001], [15416, 0.133], [15417, 0.105], [15424, 0.007], + [15426, 0.002], [15434, 0.055], [15435, 0.055], [15436, 0.021], + [15437, 0.019], [15438, 0.018], [15439, 0.008], [15440, 0.072], + [15450, 0.093], [15454, 0.077], [15457, 0.003], [15458, 0.069], + [15525, 0.141], [15526, 0.098], [15529, 0.047], [15530, 0.09], + [15532, 0.018], [15533, 0.004], [15534, 0.011], [15539, 0.068], + [15540, 0.126], [15545, 0.007], [15546, 0.011], [15547, 0.017], + [15549, 0.027], [15560, 0.207], [15567, 0.272], [15574, 0.362], + [15677, 0.398], [15914, 0.012], [15915, 0.032], [15934, 0.097], + [16279, 0.007], [16280, 0.011], [16281, 0.009], [16282, 0.011], + [16283, 0.009], [16284, 0.009], [16285, 0.006], [16286, 0.009], + [16287, 0.01], [16288, 0.009], [16289, 0.007], [16290, 0.01], + [16291, 0.01], [16292, 0.009], [16293, 0.01], [16294, 0.01], + [16295, 0.018], [16296, 0.024], [16297, 0.027], [16298, 0.029], + [16299, 0.023], [16300, 0.029], [16301, 0.019], [16302, 0.025], + [16303, 0.029], [16304, 0.025], [16305, 0.023], [16306, 0.029], + [16307, 0.029], [16308, 0.021], [16309, 0.021], [16310, 0.022], + [16311, 0.051], [16312, 0.089], [16313, 0.083], [16314, 0.093], + [16315, 0.072], [16316, 0.096], [16317, 0.072], [16318, 0.075], + [16319, 0.085], [16320, 0.073], [16321, 0.068], [16322, 0.091], + [16323, 0.095], [16324, 0.076], [16325, 0.074], [16326, 0.076], + [16327, 0.136], [16328, 0.184], [16329, 0.165], [16330, 0.183], + [16331, 0.173], [16332, 0.168], [16333, 0.13], [16334, 0.161], + [16335, 0.169], [16336, 0.162], [16337, 0.128], [16338, 0.171], + [16339, 0.162], [16340, 0.159], [16341, 0.162], [16342, 0.167], + [16343, 0.246], [16344, 0.249], [16345, 0.255], [16346, 0.261], + [16347, 0.255], [16348, 0.238], [16349, 0.218], [16350, 0.257], + [16351, 0.253], [16352, 0.248], [16353, 0.224], [16354, 0.247], + [16355, 0.239], [16356, 0.238], [16357, 0.248], [16358, 0.249], + [16359, 0.354], [16360, 0.355], [16361, 0.361], [16362, 0.356], + [16363, 0.358], [16364, 0.347], [16365, 0.343], [16366, 0.36], + [16367, 0.372], [16368, 0.365], [16369, 0.341], [16370, 0.353], + [16371, 0.353], [16372, 0.355], [16373, 0.36], [16374, 0.358], + [16375, 0.37], [16376, 0.375], [16377, 0.381], [16378, 0.387], + [16379, 0.39], [16380, 0.379], [16381, 0.379], [16382, 0.378], + [16383, 0.386], [16384, 0.373], [16385, 0.372], [16386, 0.37], + [16387, 0.373], [16388, 0.39], [16389, 0.39], [16390, 0.384], + [16391, 0.347], [16392, 0.358], [16393, 0.372], [16394, 0.34], + [16395, 0.349], [16396, 0.391], [16397, 0.385], [16398, 0.367], + [16410, 0.009], [16411, 0.026], [16412, 0.083], [16413, 0.162], + [16414, 0.236], [16415, 0.349], [16416, 0.38], [18470, 0.008], + [18480, 0.009], [18506, 0.067], [18507, 0.047], [18511, 0.049], + [18514, 0.04], [18516, 0.069], [18517, 0.093], [18518, 0.142], + [18519, 0.045], [18520, 0.061], [18542, 0.389], [18543, 0.3], + [18544, 0.209], [18545, 0.183], [18546, 0.156], [18547, 0.374], + [18548, 0.4], [18549, 0.3], [18550, 0.34], [18551, 0.35], + [18552, 0.382], [18553, 0.371], [18554, 0.277], [18555, 0.286], + [18556, 0.14], [18557, 0.131], [18558, 0.25], [18562, 0.026], + [18563, 0.052], [18564, 0.104], [18567, 0.1], [18568, 0.2], + [18570, 0.05], [18576, 0.078], [18577, 0.15], [18578, 0.617], + [18579, 0.538], [18580, 0.519], [18581, 0.454], [18582, 0.389], + [18583, 0.707], [18584, 0.833], [18585, 0.625], [18586, 0.536], + [18587, 0.729], [18588, 0.595], [18589, 0.614], [18590, 0.576], + [18591, 0.514], [18592, 0.588], [18593, 0.324], [18594, 0.521], + [18598, 0.065], [18599, 0.13], [18600, 0.259], [18603, 0.208], + [18604, 0.416], [18606, 0.104], [18612, 0.195], [18613, 0.312], + [18614, 0.833], [18615, 0.823], [18616, 0.826], [18617, 0.723], + [18618, 0.62], [18619, 0.853], [18620, 0.872], [18621, 0.654], + [18622, 0.865], [18623, 0.763], [18624, 0.831], [18625, 0.818], + [18626, 0.8], [18627, 0.863], [18628, 0.798], [18629, 0.516], + [18630, 0.545], [18634, 0.103], [18635, 0.207], [18636, 0.413], + [18639, 0.218], [18640, 0.436], [18642, 0.109], [18648, 0.31], + [18649, 0.327], [18650, 0.867], [18651, 0.876], [18652, 0.854], + [18653, 0.747], [18654, 0.641], [18655, 0.835], [18656, 0.817], + [18657, 0.613], [18658, 0.816], [18659, 0.715], [18660, 0.858], + [18661, 0.849], [18662, 0.829], [18663, 0.844], [18664, 0.843], + [18665, 0.534], [18666, 0.51], [18670, 0.107], [18671, 0.213], + [18672, 0.427], [18675, 0.204], [18676, 0.408], [18678, 0.102], + [18684, 0.32], [18685, 0.306], [18686, 0.814], [18687, 0.808], + [18688, 0.808], [18689, 0.707], [18690, 0.606], [18691, 0.817], + [18692, 0.813], [18693, 0.61], [18694, 0.816], [18695, 0.711], + [18696, 0.815], [18697, 0.831], [18698, 0.839], [18699, 0.835], + [18700, 0.84], [18701, 0.505], [18702, 0.508], [18706, 0.101], + [18707, 0.202], [18708, 0.404], [18711, 0.203], [18712, 0.407], + [18714, 0.102], [18720, 0.303], [18721, 0.305] + ], + "metacarpal1.L": [ + [8575, 0.043], [8576, 0.018], [8577, 0.089], [8578, 0.119], + [8579, 0.081], [8580, 0.158], [8584, 0.136], [8585, 0.052], + [8588, 0.227], [8607, 0.104], [8608, 0.009], [8612, 0.243], + [8613, 0.018], [8704, 0.101], [8705, 0.01], [8727, 0.026], + [8732, 0.386], [8769, 0.062], [8772, 0.081], [8780, 0.109], + [8799, 0.031], [8804, 0.039], [8896, 0.179], [9460, 0.107], + [9461, 0.177], [9463, 0.021], [9500, 0.09], [9614, 0.187], + [9615, 0.016], [9620, 0.257], [9621, 0.051], [9653, 0.15], + [9768, 0.207], [9769, 0.278], [9770, 0.275], [9771, 0.35], + [9772, 0.243], [9773, 0.52], [9774, 0.456], [9775, 0.584], + [9776, 0.14], [9777, 0.06], [9778, 0.086], [9779, 0.076], + [9780, 0.201], [9781, 0.02], [9796, 0.152], [9798, 0.5], + [9800, 0.437], [9801, 0.45], [9802, 0.631], [9803, 0.444], + [9804, 0.945], [9805, 0.958], [9806, 0.932], [9807, 0.191], + [9808, 0.089], [9809, 0.132], [9810, 0.087], [9811, 0.274], + [9825, 0.442], [9828, 0.938], [9829, 0.549], [9830, 0.984], + [9831, 0.907], [9832, 0.831], [9833, 0.139], [9834, 0.094], + [9835, 0.399], [9839, 0.042], [9840, 0.054], [9841, 0.033], + [9842, 0.604], [9843, 0.313], [9844, 0.875], [9845, 0.939], + [9847, 0.666], [9848, 0.908], [9849, 0.176], [9850, 0.714], + [9851, 0.027], [9860, 0.086], [9861, 0.095], [9862, 0.011], + [9863, 0.676], [9865, 0.215], [9866, 0.812], [9868, 0.014], + [9869, 0.044], [9870, 0.089], [9871, 0.193], [9872, 0.736], + [9873, 0.859], [9878, 0.337], [9879, 0.533], [9881, 0.109], + [9882, 0.415], [9883, 0.015], [9884, 0.162], [9885, 0.274], + [9889, 0.064], [9890, 0.386], [9891, 0.06], [9892, 0.035], + [9894, 0.04], [9895, 0.214], [9896, 0.469], [9897, 0.076], + [9898, 0.126], [9899, 0.29], [9904, 0.204], [9905, 0.05], + [9906, 0.381], [9907, 0.089], [9910, 0.344], [9911, 0.073], + [9913, 0.047], [9914, 0.642], [9915, 0.16], [9916, 0.717], + [9917, 0.16], [9918, 0.811], [9920, 0.818], [9921, 0.316], + [9923, 0.065], [9924, 0.134], [9925, 0.06], [9926, 0.075], + [9927, 0.09], [9928, 0.071], [9929, 0.097], [9930, 0.093], + [9931, 0.061], [9932, 0.124], [9933, 0.101], [9934, 0.055], + [9935, 0.108], [9936, 0.118], [9942, 0.012], [9944, 0.025], + [9973, 0.014], [9974, 0.009], [10234, 0.216], [10235, 0.109], + [10236, 0.038], [10237, 0.158], [10238, 0.081], [10239, 0.129], + [10240, 0.197], [10241, 0.219], [10242, 0.049], [10244, 0.209], + [10245, 0.265], [10250, 0.023], [10265, 0.011], [10268, 0.032], + [10270, 0.016], [10275, 0.065], [10278, 0.082], [10280, 0.041], + [10281, 0.025], [10285, 0.095], [10286, 0.016], [10288, 0.147], + [10290, 0.086], [10291, 0.064], [10295, 0.107], [10296, 0.06], + [10298, 0.255], [10300, 0.159], [10301, 0.186], [10302, 0.011], + [10303, 0.024], [10304, 0.016], [10305, 0.074], [10306, 0.097], + [10307, 0.048], [10308, 0.462], [10309, 0.046], [10310, 0.533], + [10311, 0.082], [10312, 0.105], [10313, 0.269], [10314, 0.828], + [10315, 0.667], [10316, 0.725], [10317, 0.656], [10318, 0.086], + [10319, 0.073], [10320, 0.164], [10321, 0.02], [10322, 0.056], + [10323, 0.021], [10325, 0.018], [10330, 0.023], [10331, 0.112], + [10334, 0.583], [10335, 0.323], [10336, 0.067], [10337, 0.057], + [10339, 0.186], [10340, 0.48], [10342, 0.067], [10343, 0.648], + [10346, 0.192], [10347, 0.092], [10352, 0.018], [10354, 0.06], + [10439, 0.051], [10474, 0.222], [10477, 0.632], [10478, 0.072], + [10479, 0.009], [10482, 0.66], [10483, 0.765], [10485, 0.729], + [10486, 0.872], [10487, 0.929], [10488, 0.832], [10489, 0.475], + [10490, 0.866], [10491, 0.321], [10492, 0.095], [10493, 0.012], + [10495, 0.075], [10496, 0.085], [10497, 0.146], [10498, 0.116], + [10499, 0.22], [10500, 0.138], [10501, 0.233], [10502, 0.97], + [10575, 0.079], [10576, 0.231], [10577, 0.112], [10578, 0.1], + [10579, 0.074], [10586, 0.012], [10587, 0.043], [13974, 1.0], + [13975, 1.0], [13976, 1.0], [13977, 1.0], [13978, 1.0], + [13979, 1.0], [13980, 1.0], [13981, 1.0], [17207, 0.004] + ], + "metacarpal1.R": [ + [1907, 0.043], [1908, 0.018], [1909, 0.089], [1910, 0.119], + [1911, 0.081], [1912, 0.158], [1916, 0.136], [1917, 0.052], + [1920, 0.227], [1939, 0.104], [1940, 0.009], [1944, 0.243], + [1945, 0.018], [2036, 0.101], [2037, 0.01], [2059, 0.026], + [2064, 0.386], [2101, 0.062], [2104, 0.081], [2112, 0.109], + [2131, 0.031], [2136, 0.039], [2228, 0.179], [2792, 0.107], + [2793, 0.177], [2795, 0.021], [2832, 0.09], [2946, 0.187], + [2947, 0.016], [2952, 0.257], [2953, 0.051], [2985, 0.15], + [3100, 0.207], [3101, 0.278], [3102, 0.275], [3103, 0.35], + [3104, 0.243], [3105, 0.52], [3106, 0.456], [3107, 0.584], + [3108, 0.14], [3109, 0.06], [3110, 0.086], [3111, 0.076], + [3112, 0.201], [3113, 0.02], [3128, 0.152], [3130, 0.5], + [3132, 0.437], [3133, 0.45], [3134, 0.631], [3135, 0.444], + [3136, 0.945], [3137, 0.958], [3138, 0.932], [3139, 0.191], + [3140, 0.089], [3141, 0.132], [3142, 0.087], [3143, 0.274], + [3157, 0.442], [3160, 0.938], [3161, 0.549], [3162, 0.984], + [3163, 0.907], [3164, 0.831], [3165, 0.139], [3166, 0.094], + [3167, 0.399], [3171, 0.042], [3172, 0.054], [3173, 0.033], + [3174, 0.604], [3175, 0.313], [3176, 0.875], [3177, 0.939], + [3179, 0.666], [3180, 0.908], [3181, 0.176], [3182, 0.714], + [3183, 0.027], [3192, 0.086], [3193, 0.095], [3194, 0.011], + [3195, 0.676], [3197, 0.215], [3198, 0.812], [3200, 0.014], + [3201, 0.044], [3202, 0.089], [3203, 0.193], [3204, 0.736], + [3205, 0.859], [3210, 0.337], [3211, 0.533], [3213, 0.109], + [3214, 0.415], [3215, 0.015], [3216, 0.162], [3217, 0.274], + [3221, 0.064], [3222, 0.386], [3223, 0.06], [3224, 0.035], + [3226, 0.04], [3227, 0.214], [3228, 0.469], [3229, 0.076], + [3230, 0.126], [3231, 0.29], [3236, 0.204], [3237, 0.05], + [3238, 0.381], [3239, 0.089], [3242, 0.344], [3243, 0.073], + [3245, 0.047], [3246, 0.642], [3247, 0.16], [3248, 0.717], + [3249, 0.16], [3250, 0.811], [3252, 0.818], [3253, 0.316], + [3255, 0.065], [3256, 0.134], [3257, 0.06], [3258, 0.075], + [3259, 0.09], [3260, 0.071], [3261, 0.097], [3262, 0.093], + [3263, 0.061], [3264, 0.124], [3265, 0.101], [3266, 0.055], + [3267, 0.108], [3268, 0.118], [3274, 0.012], [3276, 0.025], + [3305, 0.014], [3306, 0.009], [3566, 0.216], [3567, 0.109], + [3568, 0.038], [3569, 0.158], [3570, 0.081], [3571, 0.129], + [3572, 0.197], [3573, 0.219], [3574, 0.049], [3576, 0.209], + [3577, 0.265], [3582, 0.023], [3597, 0.011], [3600, 0.032], + [3602, 0.016], [3607, 0.065], [3610, 0.082], [3612, 0.041], + [3613, 0.025], [3617, 0.095], [3618, 0.016], [3620, 0.147], + [3622, 0.086], [3623, 0.064], [3627, 0.107], [3628, 0.06], + [3630, 0.255], [3632, 0.159], [3633, 0.186], [3634, 0.011], + [3635, 0.024], [3636, 0.016], [3637, 0.074], [3638, 0.097], + [3639, 0.048], [3640, 0.462], [3641, 0.046], [3642, 0.533], + [3643, 0.082], [3644, 0.105], [3645, 0.269], [3646, 0.828], + [3647, 0.667], [3648, 0.725], [3649, 0.656], [3650, 0.086], + [3651, 0.073], [3652, 0.164], [3653, 0.02], [3654, 0.056], + [3655, 0.021], [3657, 0.018], [3662, 0.023], [3663, 0.112], + [3666, 0.583], [3667, 0.323], [3668, 0.067], [3669, 0.057], + [3671, 0.186], [3672, 0.48], [3674, 0.067], [3675, 0.648], + [3678, 0.192], [3679, 0.092], [3684, 0.018], [3686, 0.06], + [3772, 0.051], [3808, 0.222], [3811, 0.632], [3812, 0.072], + [3813, 0.009], [3816, 0.66], [3817, 0.765], [3819, 0.729], + [3820, 0.872], [3821, 0.929], [3822, 0.832], [3823, 0.475], + [3824, 0.866], [3825, 0.321], [3826, 0.095], [3827, 0.012], + [3829, 0.075], [3830, 0.085], [3831, 0.146], [3832, 0.116], + [3833, 0.22], [3834, 0.138], [3835, 0.233], [3836, 0.97], + [3910, 0.079], [3911, 0.231], [3912, 0.112], [3913, 0.1], + [3914, 0.074], [3921, 0.012], [3922, 0.043], [14414, 1.0], + [14415, 1.0], [14416, 1.0], [14417, 1.0], [14418, 1.0], + [14419, 1.0], [14420, 1.0], [14421, 1.0], [15890, 0.004] + ], + "metacarpal2.L": [ + [8579, 0.013], [8584, 0.06], [8612, 0.054], [8732, 0.107], + [8769, 0.06], [8770, 0.088], [8772, 0.031], [8780, 0.065], + [8799, 0.072], [8804, 0.154], [8896, 0.219], [8924, 0.108], + [8961, 0.041], [8962, 0.009], [8991, 0.027], [8996, 0.022], + [9088, 0.05], [9499, 0.053], [9500, 0.044], [9538, 0.015], + [9539, 0.038], [9620, 0.098], [9653, 0.123], [9659, 0.041], + [9692, 0.018], [9769, 0.035], [9772, 0.017], [9773, 0.047], + [9774, 0.014], [9775, 0.079], [9776, 0.153], [9777, 0.212], + [9778, 0.172], [9779, 0.401], [9780, 0.374], [9781, 0.356], + [9782, 0.135], [9783, 0.064], [9784, 0.087], [9785, 0.07], + [9786, 0.168], [9801, 0.053], [9803, 0.026], [9804, 0.022], + [9806, 0.043], [9807, 0.27], [9808, 0.341], [9809, 0.381], + [9810, 0.801], [9811, 0.65], [9812, 0.723], [9813, 0.194], + [9814, 0.094], [9815, 0.134], [9816, 0.062], [9817, 0.232], + [9825, 0.011], [9829, 0.045], [9831, 0.085], [9832, 0.169], + [9833, 0.559], [9834, 0.858], [9835, 0.601], [9836, 0.795], + [9837, 0.261], [9841, 0.309], [9842, 0.083], [9843, 0.541], + [9844, 0.051], [9845, 0.04], [9848, 0.08], [9849, 0.824], + [9850, 0.286], [9851, 0.841], [9852, 0.058], [9853, 0.326], + [9855, 0.014], [9862, 0.183], [9863, 0.075], [9865, 0.659], + [9866, 0.188], [9867, 0.075], [9872, 0.031], [9873, 0.109], + [9874, 0.022], [9880, 0.058], [9881, 0.603], [9882, 0.528], + [9883, 0.156], [9886, 0.039], [9888, 0.053], [9889, 0.495], + [9890, 0.086], [9891, 0.299], [9892, 0.299], [9893, 0.157], + [9894, 0.123], [9895, 0.336], [9896, 0.131], [9897, 0.198], + [9898, 0.318], [9899, 0.054], [9900, 0.077], [9903, 0.012], + [9905, 0.251], [9906, 0.219], [9907, 0.308], [9910, 0.508], + [9911, 0.588], [9912, 0.067], [9913, 0.177], [9914, 0.294], + [9915, 0.52], [9916, 0.181], [9917, 0.64], [9918, 0.102], + [9919, 0.094], [9920, 0.128], [9921, 0.279], [9922, 0.045], + [9936, 0.011], [9937, 0.067], [9938, 0.035], [9943, 0.027], + [9944, 0.047], [9972, 0.027], [9973, 0.012], [10234, 0.043], + [10235, 0.012], [10237, 0.023], [10238, 0.121], [10239, 0.133], + [10240, 0.114], [10241, 0.077], [10242, 0.089], [10243, 0.058], + [10244, 0.117], [10245, 0.064], [10246, 0.155], [10250, 0.069], + [10311, 0.009], [10312, 0.008], [10313, 0.036], [10314, 0.095], + [10315, 0.103], [10316, 0.275], [10317, 0.222], [10318, 0.914], + [10319, 0.015], [10320, 0.651], [10321, 0.719], [10322, 0.042], + [10323, 0.145], [10324, 0.101], [10325, 0.048], [10328, 0.051], + [10330, 0.125], [10331, 0.401], [10334, 0.217], [10335, 0.447], + [10336, 0.231], [10337, 0.078], [10339, 0.482], [10340, 0.062], + [10341, 0.066], [10343, 0.102], [10346, 0.027], [10347, 0.017], + [10473, 0.023], [10474, 0.558], [10475, 0.068], [10476, 0.188], + [10477, 0.036], [10478, 0.679], [10479, 0.605], [10483, 0.071], + [10488, 0.015], [10489, 0.038], [10490, 0.055], [10491, 0.031], + [10493, 0.063], [10494, 0.065], [10495, 0.135], [10496, 0.079], + [10497, 0.166], [10498, 0.069], [10499, 0.12], [10500, 0.054], + [10501, 0.078], [10571, 0.01], [10572, 0.016], [10573, 0.034], + [10574, 0.053], [10575, 0.056], [10576, 0.071], [10577, 0.01], + [13966, 1.0], [13967, 1.0], [13968, 1.0], [13969, 1.0], + [13970, 1.0], [13971, 1.0], [13972, 1.0], [13973, 1.0] + ], + "metacarpal2.R": [ + [1911, 0.013], [1916, 0.06], [1944, 0.054], [2064, 0.107], + [2101, 0.06], [2102, 0.088], [2104, 0.031], [2112, 0.065], + [2131, 0.072], [2136, 0.154], [2228, 0.219], [2256, 0.108], + [2293, 0.041], [2294, 0.009], [2323, 0.027], [2328, 0.022], + [2420, 0.05], [2831, 0.053], [2832, 0.044], [2870, 0.015], + [2871, 0.038], [2952, 0.098], [2985, 0.123], [2991, 0.041], + [3024, 0.018], [3101, 0.035], [3104, 0.017], [3105, 0.047], + [3106, 0.014], [3107, 0.079], [3108, 0.153], [3109, 0.212], + [3110, 0.172], [3111, 0.401], [3112, 0.374], [3113, 0.356], + [3114, 0.135], [3115, 0.064], [3116, 0.087], [3117, 0.07], + [3118, 0.168], [3133, 0.053], [3135, 0.026], [3136, 0.022], + [3138, 0.043], [3139, 0.27], [3140, 0.341], [3141, 0.381], + [3142, 0.801], [3143, 0.65], [3144, 0.723], [3145, 0.194], + [3146, 0.094], [3147, 0.134], [3148, 0.062], [3149, 0.232], + [3157, 0.011], [3161, 0.045], [3163, 0.085], [3164, 0.169], + [3165, 0.559], [3166, 0.858], [3167, 0.601], [3168, 0.795], + [3169, 0.261], [3173, 0.309], [3174, 0.083], [3175, 0.541], + [3176, 0.051], [3177, 0.04], [3180, 0.08], [3181, 0.824], + [3182, 0.286], [3183, 0.841], [3184, 0.058], [3185, 0.326], + [3187, 0.014], [3194, 0.183], [3195, 0.075], [3197, 0.659], + [3198, 0.188], [3199, 0.075], [3204, 0.031], [3205, 0.109], + [3206, 0.022], [3212, 0.058], [3213, 0.603], [3214, 0.528], + [3215, 0.156], [3218, 0.039], [3220, 0.053], [3221, 0.495], + [3222, 0.086], [3223, 0.299], [3224, 0.299], [3225, 0.157], + [3226, 0.123], [3227, 0.336], [3228, 0.131], [3229, 0.198], + [3230, 0.318], [3231, 0.054], [3232, 0.077], [3235, 0.012], + [3237, 0.251], [3238, 0.219], [3239, 0.308], [3242, 0.508], + [3243, 0.588], [3244, 0.067], [3245, 0.177], [3246, 0.294], + [3247, 0.52], [3248, 0.181], [3249, 0.64], [3250, 0.102], + [3251, 0.094], [3252, 0.128], [3253, 0.279], [3254, 0.045], + [3268, 0.011], [3269, 0.067], [3270, 0.035], [3275, 0.027], + [3276, 0.047], [3304, 0.027], [3305, 0.012], [3566, 0.043], + [3567, 0.012], [3569, 0.023], [3570, 0.121], [3571, 0.133], + [3572, 0.114], [3573, 0.077], [3574, 0.089], [3575, 0.058], + [3576, 0.117], [3577, 0.064], [3578, 0.155], [3582, 0.069], + [3643, 0.009], [3644, 0.008], [3645, 0.036], [3646, 0.095], + [3647, 0.103], [3648, 0.275], [3649, 0.222], [3650, 0.914], + [3651, 0.015], [3652, 0.651], [3653, 0.719], [3654, 0.042], + [3655, 0.145], [3656, 0.101], [3657, 0.048], [3660, 0.051], + [3662, 0.125], [3663, 0.401], [3666, 0.217], [3667, 0.447], + [3668, 0.231], [3669, 0.078], [3671, 0.482], [3672, 0.062], + [3673, 0.066], [3675, 0.102], [3678, 0.027], [3679, 0.017], + [3807, 0.023], [3808, 0.558], [3809, 0.068], [3810, 0.188], + [3811, 0.036], [3812, 0.679], [3813, 0.605], [3817, 0.071], + [3822, 0.015], [3823, 0.038], [3824, 0.055], [3825, 0.031], + [3827, 0.063], [3828, 0.065], [3829, 0.135], [3830, 0.079], + [3831, 0.166], [3832, 0.069], [3833, 0.12], [3834, 0.054], + [3835, 0.078], [3906, 0.01], [3907, 0.016], [3908, 0.034], + [3909, 0.053], [3910, 0.056], [3911, 0.071], [3912, 0.01], + [14406, 1.0], [14407, 1.0], [14408, 1.0], [14409, 1.0], + [14410, 1.0], [14411, 1.0], [14412, 1.0], [14413, 1.0] + ], + "metacarpal3.L": [ + [8924, 0.041], [8961, 0.053], [8962, 0.114], [8963, 0.036], + [8968, 0.049], [8991, 0.081], [8996, 0.133], [9088, 0.077], + [9116, 0.182], [9153, 0.163], [9154, 0.079], [9156, 0.062], + [9157, 0.012], [9164, 0.048], [9183, 0.116], [9188, 0.052], + [9280, 0.124], [9538, 0.188], [9539, 0.015], [9577, 0.046], + [9578, 0.184], [9579, 0.021], [9692, 0.029], [9698, 0.085], + [9731, 0.081], [9732, 0.011], [9777, 0.061], [9778, 0.023], + [9779, 0.06], [9781, 0.127], [9782, 0.148], [9783, 0.25], + [9784, 0.191], [9785, 0.332], [9786, 0.294], [9787, 0.277], + [9788, 0.324], [9789, 0.106], [9792, 0.183], [9793, 0.085], + [9794, 0.192], [9795, 0.048], [9797, 0.071], [9799, 0.033], + [9807, 0.03], [9808, 0.076], [9809, 0.064], [9810, 0.054], + [9812, 0.204], [9813, 0.303], [9814, 0.395], [9815, 0.393], + [9816, 0.739], [9817, 0.687], [9818, 0.494], [9819, 0.34], + [9820, 0.12], [9821, 0.016], [9822, 0.186], [9823, 0.021], + [9824, 0.146], [9826, 0.043], [9827, 0.327], [9833, 0.074], + [9834, 0.047], [9836, 0.205], [9837, 0.716], [9841, 0.304], + [9843, 0.137], [9846, 0.022], [9851, 0.132], [9852, 0.831], + [9853, 0.659], [9854, 0.212], [9855, 0.521], [9856, 0.027], + [9858, 0.012], [9859, 0.165], [9862, 0.139], [9865, 0.125], + [9867, 0.628], [9874, 0.351], [9875, 0.031], [9877, 0.13], + [9880, 0.632], [9881, 0.269], [9882, 0.057], [9883, 0.683], + [9886, 0.274], [9887, 0.119], [9888, 0.797], [9889, 0.115], + [9891, 0.552], [9892, 0.492], [9893, 0.687], [9894, 0.421], + [9895, 0.134], [9896, 0.034], [9897, 0.357], [9898, 0.217], + [9900, 0.412], [9901, 0.055], [9902, 0.07], [9903, 0.157], + [9905, 0.094], [9906, 0.079], [9907, 0.491], [9908, 0.045], + [9910, 0.024], [9911, 0.194], [9912, 0.684], [9913, 0.578], + [9914, 0.064], [9915, 0.261], [9917, 0.084], [9919, 0.54], + [9921, 0.01], [9922, 0.354], [9946, 0.011], [9956, 0.014], + [9958, 0.046], [9959, 0.076], [9960, 0.023], [9961, 0.032], + [9962, 0.026], [9963, 0.051], [9966, 0.046], [9968, 0.052], + [9970, 0.085], [9976, 0.014], [9978, 0.024], [10224, 0.016], + [10225, 0.01], [10228, 0.013], [10229, 0.012], [10233, 0.009], + [10238, 0.106], [10239, 0.081], [10240, 0.041], [10242, 0.134], + [10243, 0.167], [10246, 0.582], [10247, 0.412], [10248, 0.524], + [10249, 0.205], [10250, 0.159], [10317, 0.033], [10320, 0.14], + [10321, 0.252], [10323, 0.672], [10324, 0.797], [10325, 0.081], + [10326, 0.126], [10327, 0.141], [10328, 0.114], [10329, 0.109], + [10330, 0.449], [10331, 0.291], [10333, 0.121], [10334, 0.052], + [10335, 0.105], [10336, 0.434], [10337, 0.096], [10338, 0.012], + [10339, 0.18], [10341, 0.272], [10345, 0.056], [10348, 0.071], + [10350, 0.074], [10473, 0.116], [10475, 0.653], [10476, 0.574], + [10478, 0.06], [10479, 0.168], [10480, 0.221], [10481, 0.062], + [10484, 0.526], [10493, 0.127], [10494, 0.178], [10495, 0.192], + [10496, 0.058], [10497, 0.1], [10498, 0.022], [10499, 0.057], + [10519, 0.082], [10535, 0.061], [10537, 0.098], [10538, 0.041], + [10568, 0.033], [10569, 0.042], [10570, 0.046], [10571, 0.053], + [10572, 0.05], [10573, 0.071], [10574, 0.06], [10575, 0.022], + [13958, 1.0], [13959, 1.0], [13960, 1.0], [13961, 1.0], + [13962, 1.0], [13963, 1.0], [13964, 1.0], [13965, 1.0], + [17184, 0.004], [17185, 0.003], [17189, 0.003], [17252, 0.005] + ], + "metacarpal3.R": [ + [2256, 0.041], [2293, 0.053], [2294, 0.114], [2295, 0.036], + [2300, 0.049], [2323, 0.081], [2328, 0.133], [2420, 0.077], + [2448, 0.182], [2485, 0.163], [2486, 0.079], [2488, 0.062], + [2489, 0.012], [2496, 0.048], [2515, 0.116], [2520, 0.052], + [2612, 0.124], [2870, 0.188], [2871, 0.015], [2909, 0.046], + [2910, 0.184], [2911, 0.021], [3024, 0.029], [3030, 0.085], + [3063, 0.081], [3064, 0.011], [3109, 0.061], [3110, 0.023], + [3111, 0.06], [3113, 0.127], [3114, 0.148], [3115, 0.25], + [3116, 0.191], [3117, 0.332], [3118, 0.294], [3119, 0.277], + [3120, 0.324], [3121, 0.106], [3124, 0.183], [3125, 0.085], + [3126, 0.192], [3127, 0.048], [3129, 0.071], [3131, 0.033], + [3139, 0.03], [3140, 0.076], [3141, 0.064], [3142, 0.054], + [3144, 0.204], [3145, 0.303], [3146, 0.395], [3147, 0.393], + [3148, 0.739], [3149, 0.687], [3150, 0.494], [3151, 0.34], + [3152, 0.12], [3153, 0.016], [3154, 0.186], [3155, 0.021], + [3156, 0.146], [3158, 0.043], [3159, 0.327], [3165, 0.074], + [3166, 0.047], [3168, 0.205], [3169, 0.716], [3173, 0.304], + [3175, 0.137], [3178, 0.022], [3183, 0.132], [3184, 0.831], + [3185, 0.659], [3186, 0.212], [3187, 0.521], [3188, 0.027], + [3190, 0.012], [3191, 0.165], [3194, 0.139], [3197, 0.125], + [3199, 0.628], [3206, 0.351], [3207, 0.031], [3209, 0.13], + [3212, 0.632], [3213, 0.269], [3214, 0.057], [3215, 0.683], + [3218, 0.274], [3219, 0.119], [3220, 0.797], [3221, 0.115], + [3223, 0.552], [3224, 0.492], [3225, 0.687], [3226, 0.421], + [3227, 0.134], [3228, 0.034], [3229, 0.357], [3230, 0.217], + [3232, 0.412], [3233, 0.055], [3234, 0.07], [3235, 0.157], + [3237, 0.094], [3238, 0.079], [3239, 0.491], [3240, 0.045], + [3242, 0.024], [3243, 0.194], [3244, 0.684], [3245, 0.578], + [3246, 0.064], [3247, 0.261], [3249, 0.084], [3251, 0.54], + [3253, 0.01], [3254, 0.354], [3278, 0.011], [3288, 0.014], + [3290, 0.046], [3291, 0.076], [3292, 0.023], [3293, 0.032], + [3294, 0.026], [3295, 0.051], [3298, 0.046], [3300, 0.052], + [3302, 0.085], [3308, 0.014], [3310, 0.024], [3556, 0.016], + [3557, 0.01], [3560, 0.013], [3561, 0.012], [3565, 0.009], + [3570, 0.106], [3571, 0.081], [3572, 0.041], [3574, 0.134], + [3575, 0.167], [3578, 0.582], [3579, 0.412], [3580, 0.524], + [3581, 0.205], [3582, 0.159], [3649, 0.033], [3652, 0.14], + [3653, 0.252], [3655, 0.672], [3656, 0.797], [3657, 0.081], + [3658, 0.126], [3659, 0.141], [3660, 0.114], [3661, 0.109], + [3662, 0.449], [3663, 0.291], [3665, 0.121], [3666, 0.052], + [3667, 0.105], [3668, 0.434], [3669, 0.096], [3670, 0.012], + [3671, 0.18], [3673, 0.272], [3677, 0.056], [3680, 0.071], + [3682, 0.074], [3807, 0.116], [3809, 0.653], [3810, 0.574], + [3812, 0.06], [3813, 0.168], [3814, 0.221], [3815, 0.062], + [3818, 0.526], [3827, 0.127], [3828, 0.178], [3829, 0.192], + [3830, 0.058], [3831, 0.1], [3832, 0.022], [3833, 0.057], + [3854, 0.082], [3870, 0.061], [3872, 0.098], [3873, 0.041], + [3903, 0.033], [3904, 0.042], [3905, 0.046], [3906, 0.053], + [3907, 0.05], [3908, 0.071], [3909, 0.06], [3910, 0.022], + [14398, 1.0], [14399, 1.0], [14400, 1.0], [14401, 1.0], + [14402, 1.0], [14403, 1.0], [14404, 1.0], [14405, 1.0], + [15867, 0.004], [15868, 0.003], [15872, 0.003], [15933, 0.005] + ], + "metacarpal4.L": [ + [9116, 0.02], [9152, 0.017], [9153, 0.167], [9154, 0.247], + [9155, 0.069], [9156, 0.008], [9157, 0.019], [9160, 0.129], + [9183, 0.208], [9184, 0.026], [9188, 0.063], [9280, 0.063], + [9308, 0.062], [9538, 0.054], [9577, 0.228], [9578, 0.09], + [9731, 0.022], [9737, 0.099], [9783, 0.052], [9784, 0.01], + [9787, 0.06], [9788, 0.259], [9789, 0.448], [9790, 0.169], + [9791, 0.345], [9792, 0.361], [9793, 0.119], [9794, 0.113], + [9795, 0.091], [9797, 0.434], [9799, 0.292], [9813, 0.017], + [9814, 0.066], [9815, 0.052], [9816, 0.077], [9817, 0.009], + [9818, 0.269], [9819, 0.42], [9820, 0.63], [9821, 0.591], + [9822, 0.645], [9823, 0.558], [9824, 0.442], [9826, 0.859], + [9827, 0.575], [9837, 0.023], [9838, 1.0], [9843, 0.009], + [9846, 0.978], [9852, 0.111], [9853, 0.015], [9854, 0.788], + [9855, 0.429], [9856, 0.957], [9857, 0.946], [9858, 0.816], + [9859, 0.82], [9864, 0.992], [9867, 0.297], [9874, 0.627], + [9875, 0.97], [9876, 0.897], [9877, 0.87], [9880, 0.103], + [9881, 0.02], [9883, 0.146], [9886, 0.687], [9887, 0.881], + [9888, 0.15], [9891, 0.074], [9892, 0.025], [9893, 0.083], + [9894, 0.241], [9895, 0.062], [9897, 0.157], [9898, 0.099], + [9900, 0.364], [9901, 0.582], [9902, 0.862], [9903, 0.724], + [9906, 0.019], [9907, 0.111], [9908, 0.869], [9909, 1.0], + [9912, 0.178], [9913, 0.198], [9915, 0.059], [9919, 0.366], + [9922, 0.094], [9945, 0.023], [9946, 0.091], [9959, 0.084], + [9965, 0.014], [9967, 0.008], [9968, 0.091], [9969, 0.069], + [9970, 0.051], [9975, 0.008], [9977, 0.02], [9978, 0.008], + [10224, 0.033], [10225, 0.022], [10226, 0.013], [10228, 0.031], + [10229, 0.038], [10230, 0.008], [10233, 0.04], [10238, 0.079], + [10239, 0.043], [10242, 0.11], [10243, 0.248], [10246, 0.057], + [10247, 0.164], [10248, 0.318], [10249, 0.726], [10250, 0.164], + [10320, 0.026], [10321, 0.009], [10322, 0.1], [10323, 0.147], + [10324, 0.102], [10325, 0.178], [10326, 0.874], [10327, 0.859], + [10328, 0.381], [10329, 0.713], [10330, 0.348], [10331, 0.12], + [10332, 1.0], [10333, 0.879], [10335, 0.025], [10336, 0.199], + [10337, 0.185], [10338, 0.988], [10339, 0.069], [10341, 0.635], + [10344, 1.0], [10345, 0.89], [10348, 0.346], [10349, 0.322], + [10350, 0.352], [10351, 0.108], [10472, 0.047], [10473, 0.376], + [10475, 0.041], [10480, 0.24], [10481, 0.323], [10484, 0.113], + [10493, 0.46], [10494, 0.59], [10495, 0.251], [10496, 0.086], + [10497, 0.117], [10498, 0.047], [10499, 0.064], [10501, 0.012], + [10519, 0.82], [10534, 0.03], [10535, 0.939], [10537, 0.46], + [10538, 0.959], [10550, 0.019], [10551, 0.02], [10554, 0.019], + [10555, 0.02], [10564, 0.013], [10566, 0.021], [10567, 0.009], + [10568, 0.178], [10569, 0.156], [10570, 0.134], [10571, 0.102], + [10572, 0.074], [10573, 0.086], [10574, 0.067], [10580, 0.108], + [10581, 0.046], [13950, 1.0], [13951, 1.0], [13952, 1.0], + [13953, 1.0], [13954, 1.0], [13955, 1.0], [13956, 1.0], + [13957, 1.0], [17184, 0.014], [17185, 0.012], [17186, 0.003], + [17189, 0.019], [17191, 0.068], [17192, 0.003], [17252, 0.061] + ], + "metacarpal4.R": [ + [2448, 0.02], [2484, 0.017], [2485, 0.167], [2486, 0.247], + [2487, 0.069], [2488, 0.008], [2489, 0.019], [2492, 0.129], + [2515, 0.208], [2516, 0.026], [2520, 0.063], [2612, 0.063], + [2640, 0.062], [2870, 0.054], [2909, 0.228], [2910, 0.09], + [3063, 0.022], [3069, 0.099], [3115, 0.052], [3116, 0.01], + [3119, 0.06], [3120, 0.259], [3121, 0.448], [3122, 0.169], + [3123, 0.345], [3124, 0.361], [3125, 0.119], [3126, 0.113], + [3127, 0.091], [3129, 0.434], [3131, 0.292], [3145, 0.017], + [3146, 0.066], [3147, 0.052], [3148, 0.077], [3149, 0.009], + [3150, 0.269], [3151, 0.42], [3152, 0.63], [3153, 0.591], + [3154, 0.645], [3155, 0.558], [3156, 0.442], [3158, 0.859], + [3159, 0.575], [3169, 0.023], [3170, 1.0], [3175, 0.009], + [3178, 0.978], [3184, 0.111], [3185, 0.015], [3186, 0.788], + [3187, 0.429], [3188, 0.957], [3189, 0.946], [3190, 0.816], + [3191, 0.82], [3196, 0.992], [3199, 0.297], [3206, 0.627], + [3207, 0.97], [3208, 0.897], [3209, 0.87], [3212, 0.103], + [3213, 0.02], [3215, 0.146], [3218, 0.687], [3219, 0.881], + [3220, 0.15], [3223, 0.074], [3224, 0.025], [3225, 0.083], + [3226, 0.241], [3227, 0.062], [3229, 0.157], [3230, 0.099], + [3232, 0.364], [3233, 0.582], [3234, 0.862], [3235, 0.724], + [3238, 0.019], [3239, 0.111], [3240, 0.869], [3241, 1.0], + [3244, 0.178], [3245, 0.198], [3247, 0.059], [3251, 0.366], + [3254, 0.094], [3277, 0.023], [3278, 0.091], [3291, 0.084], + [3297, 0.014], [3299, 0.008], [3300, 0.091], [3301, 0.069], + [3302, 0.051], [3307, 0.008], [3309, 0.02], [3310, 0.008], + [3556, 0.033], [3557, 0.022], [3558, 0.013], [3560, 0.031], + [3561, 0.038], [3562, 0.008], [3565, 0.04], [3570, 0.079], + [3571, 0.043], [3574, 0.11], [3575, 0.248], [3578, 0.057], + [3579, 0.164], [3580, 0.318], [3581, 0.726], [3582, 0.164], + [3652, 0.026], [3653, 0.009], [3654, 0.1], [3655, 0.147], + [3656, 0.102], [3657, 0.178], [3658, 0.874], [3659, 0.859], + [3660, 0.381], [3661, 0.713], [3662, 0.348], [3663, 0.12], + [3664, 1.0], [3665, 0.879], [3667, 0.025], [3668, 0.199], + [3669, 0.185], [3670, 0.988], [3671, 0.069], [3673, 0.635], + [3676, 1.0], [3677, 0.89], [3680, 0.346], [3681, 0.322], + [3682, 0.352], [3683, 0.108], [3806, 0.047], [3807, 0.376], + [3809, 0.041], [3814, 0.24], [3815, 0.323], [3818, 0.113], + [3827, 0.46], [3828, 0.59], [3829, 0.251], [3830, 0.086], + [3831, 0.117], [3832, 0.047], [3833, 0.064], [3835, 0.012], + [3854, 0.82], [3869, 0.03], [3870, 0.939], [3872, 0.46], + [3873, 0.959], [3885, 0.019], [3886, 0.02], [3889, 0.019], + [3890, 0.02], [3899, 0.013], [3901, 0.021], [3902, 0.009], + [3903, 0.178], [3904, 0.156], [3905, 0.134], [3906, 0.102], + [3907, 0.074], [3908, 0.086], [3909, 0.067], [3915, 0.108], + [3916, 0.046], [14390, 1.0], [14391, 1.0], [14392, 1.0], + [14393, 1.0], [14394, 1.0], [14395, 1.0], [14396, 1.0], + [14397, 1.0], [15867, 0.014], [15868, 0.012], [15869, 0.003], + [15872, 0.019], [15874, 0.068], [15875, 0.003], [15933, 0.061] + ], + "neck01": [ + [594, 0.006], [595, 0.005], [611, 0.007], [612, 0.006], + [628, 0.003], [629, 0.003], [645, 0.002], [646, 0.002], + [653, 0.002], [659, 0.002], [670, 0.003], [676, 0.003], + [738, 0.04], [739, 0.033], [740, 0.033], [741, 0.019], + [742, 0.01], [745, 0.132], [748, 0.115], [749, 0.208], + [750, 0.201], [751, 0.285], [752, 0.287], [753, 0.35], + [754, 0.363], [755, 0.401], [756, 0.426], [757, 0.433], + [758, 0.472], [759, 0.425], [760, 0.478], [761, 0.099], + [762, 0.127], [763, 0.159], [764, 0.193], [765, 0.218], + [766, 0.26], [767, 0.269], [768, 0.316], [769, 0.31], + [770, 0.358], [771, 0.337], [772, 0.38], [773, 0.336], + [774, 0.364], [775, 0.054], [776, 0.212], [777, 0.251], + [778, 0.278], [779, 0.279], [781, 0.001], [782, 0.002], + [783, 0.001], [784, 0.014], [785, 0.004], [786, 0.008], + [787, 0.004], [788, 0.043], [789, 0.007], [790, 0.014], + [791, 0.007], [792, 0.073], [793, 0.01], [794, 0.064], + [795, 0.019], [796, 0.044], [797, 0.01], [798, 0.097], + [799, 0.013], [800, 0.075], [801, 0.023], [802, 0.046], + [803, 0.014], [804, 0.113], [805, 0.017], [806, 0.079], + [807, 0.027], [808, 0.043], [809, 0.017], [810, 0.123], + [811, 0.022], [812, 0.07], [813, 0.03], [814, 0.036], + [815, 0.022], [816, 0.117], [817, 0.218], [818, 0.313], + [819, 0.39], [820, 0.446], [821, 0.483], [822, 0.483], + [823, 0.255], [824, 0.345], [825, 0.412], [826, 0.458], + [827, 0.486], [828, 0.479], [829, 0.354], [830, 0.412], + [831, 0.454], [832, 0.481], [833, 0.496], [834, 0.488], + [835, 0.394], [836, 0.44], [837, 0.471], [838, 0.49], + [839, 0.499], [840, 0.486], [841, 0.38], [842, 0.429], + [843, 0.461], [844, 0.478], [845, 0.478], [846, 0.443], + [847, 0.357], [848, 0.409], [849, 0.444], [850, 0.461], + [851, 0.456], [852, 0.407], [853, 0.317], [854, 0.372], + [855, 0.407], [856, 0.421], [857, 0.409], [858, 0.348], + [866, 0.006], [876, 0.008], [884, 0.053], [885, 0.122], + [886, 0.127], [887, 0.263], [888, 0.291], [889, 0.277], + [890, 0.262], [892, 0.002], [893, 0.005], [894, 0.031], + [895, 0.032], [911, 0.022], [912, 0.022], [923, 0.009], + [924, 0.029], [925, 0.016], [926, 0.005], [927, 0.04], + [928, 0.17], [929, 0.202], [930, 0.223], [931, 0.222], + [932, 0.023], [933, 0.028], [934, 0.211], [935, 0.008], + [936, 0.03], [937, 0.035], [938, 0.042], [939, 0.035], + [940, 0.032], [941, 0.031], [942, 0.015], [943, 0.04], + [944, 0.046], [945, 0.033], [946, 0.03], [947, 0.033], + [948, 0.022], [949, 0.02], [950, 0.035], [951, 0.031], + [952, 0.024], [953, 0.027], [954, 0.025], [955, 0.021], + [956, 0.016], [957, 0.013], [992, 0.067], [995, 0.001], + [996, 0.059], [997, 0.066], [998, 0.062], [999, 0.044], + [1000, 0.027], [1001, 0.054], [1002, 0.05], [1003, 0.04], + [1004, 0.032], [1005, 0.035], [1006, 0.018], [1017, 0.348], + [1018, 0.317], [1019, 0.372], [1023, 0.211], [1026, 0.021], + [1027, 0.022], [1028, 0.031], [1030, 0.421], [1031, 0.407], + [1032, 0.409], [1033, 0.11], [1034, 0.086], [1035, 0.165], + [1036, 0.131], [1037, 0.048], [1038, 0.027], [1039, 0.348], + [1040, 0.424], [1042, 0.248], [1043, 0.033], [1044, 0.426], + [1045, 0.37], [1047, 0.034], [1048, 0.03], [1051, 0.436], + [1053, 0.396], [1385, 0.035], [1386, 0.043], [1387, 0.062], + [1388, 0.017], [1389, 0.005], [1395, 0.069], [1396, 0.086], + [1397, 0.123], [1398, 0.035], [1403, 0.016], [1453, 0.058], + [1454, 0.116], [1460, 0.046], [1461, 0.03], [1462, 0.166], + [1463, 0.207], [1464, 0.257], [1465, 0.148], [1466, 0.119], + [1467, 0.119], [1468, 0.157], [1469, 0.162], [1470, 0.188], + [1471, 0.005], [1475, 0.007], [1478, 0.177], [1479, 0.165], + [1480, 0.168], [1481, 0.172], [1482, 0.139], [1483, 0.223], + [1484, 0.273], [1485, 0.268], [1486, 0.263], [1487, 0.278], + [1488, 0.289], [1489, 0.254], [1490, 0.248], [1491, 0.19], + [1492, 0.19], [1493, 0.23], [1494, 0.316], [1495, 0.276], + [1496, 0.276], [1497, 0.347], [1498, 0.363], [1499, 0.401], + [1500, 0.399], [1501, 0.386], [1503, 0.392], [1504, 0.396], + [1505, 0.334], [1508, 0.004], [1509, 0.01], [1510, 0.021], + [1511, 0.086], [1512, 0.28], [1513, 0.057], [1514, 0.013], + [1515, 0.029], [1516, 0.019], [1517, 0.111], [1518, 0.138], + [1519, 0.179], [1520, 0.193], [1521, 0.016], [1522, 0.016], + [1523, 0.01], [1524, 0.011], [1525, 0.005], [1527, 0.003], + [1537, 0.074], [1538, 0.059], [1539, 0.059], [1540, 0.079], + [1541, 0.081], [1542, 0.094], [1543, 0.089], [1544, 0.083], + [1545, 0.084], [1546, 0.086], [1547, 0.07], [3687, 0.126], + [3688, 0.17], [3689, 0.173], [3690, 0.158], [3691, 0.134], + [3692, 0.102], [3693, 0.064], [3694, 0.027], [3695, 0.014], + [3696, 0.005], [3697, 0.001], [3713, 0.003], [3714, 0.003], + [3715, 0.002], [3751, 0.084], [3752, 0.052], [3753, 0.026], + [5098, 0.026], [5240, 0.002], [5241, 0.005], [5266, 0.083], + [5267, 0.083], [5268, 0.098], [5269, 0.098], [5270, 0.082], + [5271, 0.082], [5272, 0.062], [5273, 0.042], [5274, 0.043], + [5275, 0.022], [5276, 0.026], [5277, 0.051], [5278, 0.171], + [5279, 0.188], [5280, 0.174], [5281, 0.168], [5282, 0.147], + [5283, 0.106], [5284, 0.106], [5285, 0.08], [5376, 0.007], + [5383, 0.007], [5384, 0.033], [5385, 0.021], [5388, 0.01], + [5391, 0.029], [5406, 0.031], [5407, 0.03], [5409, 0.004], + [5410, 0.013], [5413, 0.007], [5414, 0.007], [5415, 0.006], + [5416, 0.007], [5420, 0.032], [5428, 0.043], [5429, 0.022], + [5430, 0.014], [5435, 0.006], [5436, 0.003], [5438, 0.007], + [5442, 0.022], [5450, 0.035], [5451, 0.029], [5453, 0.005], + [5454, 0.011], [5464, 0.006], [5472, 0.012], [5473, 0.013], + [5475, 0.001], [5476, 0.007], [5494, 0.001], [5523, 0.004], + [5524, 0.002], [5544, 0.059], [5545, 0.059], [5546, 0.066], + [5547, 0.063], [5550, 0.059], [5553, 0.053], [5557, 0.05], + [5558, 0.044], [5559, 0.019], [5561, 0.033], [5565, 0.004], + [5567, 0.013], [5609, 0.001], [5617, 0.002], [5657, 0.003], + [5658, 0.003], [5667, 0.004], [5675, 0.005], [5676, 0.005], + [5681, 0.005], [5683, 0.004], [5692, 0.005], [5695, 0.005], + [5697, 0.002], [5723, 0.009], [5726, 0.01], [5731, 0.01], + [5732, 0.033], [5733, 0.008], [5734, 0.009], [5737, 0.007], + [5743, 0.044], [5744, 0.013], [5746, 0.012], [5752, 0.007], + [5753, 0.026], [5761, 0.023], [5762, 0.007], [5764, 0.003], + [7331, 0.006], [7332, 0.005], [7346, 0.007], [7347, 0.006], + [7361, 0.003], [7362, 0.003], [7376, 0.002], [7377, 0.002], + [7384, 0.002], [7399, 0.003], [7458, 0.04], [7459, 0.033], + [7460, 0.033], [7461, 0.019], [7462, 0.01], [7465, 0.132], + [7467, 0.115], [7468, 0.208], [7469, 0.201], [7470, 0.285], + [7471, 0.287], [7472, 0.35], [7473, 0.363], [7474, 0.401], + [7475, 0.426], [7476, 0.433], [7477, 0.472], [7478, 0.425], + [7479, 0.478], [7480, 0.099], [7481, 0.127], [7482, 0.159], + [7483, 0.193], [7484, 0.218], [7485, 0.26], [7486, 0.269], + [7487, 0.316], [7488, 0.31], [7489, 0.358], [7490, 0.337], + [7491, 0.38], [7492, 0.336], [7493, 0.364], [7494, 0.054], + [7495, 0.212], [7496, 0.251], [7497, 0.278], [7498, 0.279], + [7499, 0.001], [7500, 0.002], [7501, 0.014], [7502, 0.004], + [7503, 0.008], [7504, 0.043], [7505, 0.007], [7506, 0.014], + [7507, 0.073], [7508, 0.01], [7509, 0.064], [7510, 0.019], + [7511, 0.044], [7512, 0.097], [7513, 0.013], [7514, 0.075], + [7515, 0.023], [7516, 0.046], [7517, 0.113], [7518, 0.017], + [7519, 0.079], [7520, 0.027], [7521, 0.043], [7522, 0.123], + [7523, 0.022], [7524, 0.07], [7525, 0.03], [7526, 0.036], + [7527, 0.117], [7528, 0.218], [7529, 0.313], [7530, 0.39], + [7531, 0.446], [7532, 0.483], [7533, 0.483], [7534, 0.255], + [7535, 0.345], [7536, 0.412], [7537, 0.458], [7538, 0.486], + [7539, 0.479], [7540, 0.354], [7541, 0.412], [7542, 0.454], + [7543, 0.481], [7544, 0.496], [7545, 0.488], [7546, 0.394], + [7547, 0.44], [7548, 0.471], [7549, 0.49], [7550, 0.499], + [7551, 0.486], [7552, 0.38], [7553, 0.429], [7554, 0.461], + [7555, 0.478], [7556, 0.478], [7557, 0.443], [7558, 0.357], + [7559, 0.409], [7560, 0.444], [7561, 0.461], [7562, 0.456], + [7563, 0.407], [7571, 0.006], [7581, 0.008], [7586, 0.053], + [7587, 0.122], [7588, 0.127], [7589, 0.263], [7590, 0.291], + [7591, 0.277], [7592, 0.262], [7594, 0.002], [7595, 0.005], + [7596, 0.031], [7597, 0.032], [7613, 0.022], [7614, 0.022], + [7625, 0.009], [7626, 0.029], [7627, 0.016], [7628, 0.005], + [7629, 0.04], [7630, 0.17], [7631, 0.202], [7632, 0.223], + [7633, 0.222], [7634, 0.023], [7635, 0.028], [7636, 0.008], + [7637, 0.03], [7638, 0.035], [7639, 0.042], [7640, 0.035], + [7641, 0.032], [7642, 0.015], [7643, 0.04], [7644, 0.046], + [7645, 0.033], [7646, 0.03], [7647, 0.033], [7648, 0.02], + [7649, 0.035], [7650, 0.031], [7651, 0.024], [7652, 0.027], + [7653, 0.025], [7654, 0.016], [7655, 0.013], [7686, 0.067], + [7689, 0.001], [7690, 0.059], [7691, 0.066], [7692, 0.062], + [7693, 0.044], [7694, 0.027], [7695, 0.054], [7696, 0.05], + [7697, 0.04], [7698, 0.032], [7699, 0.035], [7700, 0.018], + [7709, 0.348], [7710, 0.317], [7711, 0.372], [7715, 0.211], + [7718, 0.021], [7719, 0.022], [7720, 0.031], [7722, 0.421], + [7723, 0.407], [7724, 0.409], [7725, 0.11], [7726, 0.086], + [7727, 0.165], [7728, 0.131], [7729, 0.048], [7730, 0.027], + [7731, 0.348], [7732, 0.424], [7734, 0.248], [7735, 0.033], + [7736, 0.426], [7737, 0.37], [7739, 0.034], [7740, 0.03], + [7743, 0.436], [7745, 0.396], [8077, 0.035], [8078, 0.043], + [8079, 0.062], [8080, 0.017], [8081, 0.005], [8087, 0.069], + [8088, 0.086], [8089, 0.123], [8090, 0.035], [8091, 0.016], + [8141, 0.058], [8142, 0.116], [8148, 0.046], [8149, 0.03], + [8150, 0.166], [8151, 0.207], [8152, 0.257], [8153, 0.148], + [8154, 0.119], [8155, 0.157], [8156, 0.162], [8157, 0.188], + [8158, 0.005], [8161, 0.007], [8164, 0.177], [8165, 0.165], + [8166, 0.168], [8167, 0.172], [8168, 0.139], [8169, 0.223], + [8170, 0.273], [8171, 0.268], [8172, 0.263], [8173, 0.278], + [8174, 0.289], [8175, 0.254], [8176, 0.248], [8177, 0.19], + [8178, 0.23], [8179, 0.316], [8180, 0.276], [8181, 0.347], + [8182, 0.363], [8183, 0.401], [8184, 0.399], [8185, 0.386], + [8187, 0.392], [8188, 0.396], [8189, 0.334], [8192, 0.004], + [8193, 0.01], [8194, 0.021], [8195, 0.086], [8196, 0.28], + [8197, 0.057], [8198, 0.013], [8199, 0.029], [8200, 0.019], + [8201, 0.111], [8202, 0.138], [8203, 0.179], [8204, 0.193], + [8205, 0.016], [8206, 0.01], [8207, 0.005], [8208, 0.003], + [8217, 0.074], [8218, 0.059], [8219, 0.079], [8220, 0.081], + [8221, 0.094], [8222, 0.089], [8223, 0.083], [8224, 0.084], + [8225, 0.086], [8226, 0.07], [10355, 0.126], [10356, 0.17], + [10357, 0.173], [10358, 0.158], [10359, 0.134], [10360, 0.102], + [10361, 0.064], [10362, 0.027], [10363, 0.014], [10364, 0.005], + [10365, 0.001], [10381, 0.003], [10382, 0.003], [10383, 0.002], + [10418, 0.084], [10419, 0.052], [10420, 0.026], [11713, 0.026], + [11849, 0.002], [11850, 0.005], [11874, 0.083], [11875, 0.098], + [11876, 0.098], [11877, 0.082], [11878, 0.082], [11879, 0.062], + [11880, 0.042], [11881, 0.043], [11882, 0.022], [11883, 0.026], + [11884, 0.051], [11885, 0.171], [11886, 0.188], [11887, 0.174], + [11888, 0.168], [11889, 0.147], [11890, 0.106], [11891, 0.08], + [11977, 0.007], [11983, 0.007], [11984, 0.033], [11985, 0.021], + [11988, 0.01], [11990, 0.029], [12005, 0.031], [12006, 0.03], + [12008, 0.004], [12009, 0.013], [12012, 0.007], [12013, 0.007], + [12014, 0.006], [12015, 0.007], [12019, 0.032], [12027, 0.043], + [12028, 0.022], [12029, 0.014], [12034, 0.006], [12035, 0.003], + [12037, 0.007], [12041, 0.022], [12049, 0.035], [12050, 0.029], + [12052, 0.005], [12053, 0.011], [12063, 0.006], [12071, 0.012], + [12072, 0.013], [12074, 0.001], [12075, 0.007], [12093, 0.001], + [12122, 0.004], [12123, 0.002], [12143, 0.059], [12144, 0.066], + [12145, 0.063], [12148, 0.059], [12151, 0.053], [12154, 0.05], + [12155, 0.044], [12156, 0.019], [12158, 0.033], [12162, 0.004], + [12164, 0.013], [12206, 0.001], [12214, 0.002], [12254, 0.003], + [12255, 0.003], [12264, 0.004], [12272, 0.005], [12273, 0.005], + [12278, 0.005], [12280, 0.004], [12289, 0.005], [12292, 0.005], + [12294, 0.002], [12320, 0.009], [12323, 0.01], [12328, 0.01], + [12329, 0.033], [12330, 0.008], [12331, 0.009], [12334, 0.007], + [12340, 0.044], [12341, 0.013], [12343, 0.012], [12349, 0.007], + [12350, 0.026], [12358, 0.023], [12359, 0.007], [12361, 0.003], + [15080, 0.021], [15113, 0.021], [15563, 0.013], [15564, 0.018], + [15570, 0.035], [15571, 0.049], [15577, 0.055], [15578, 0.079], + [15611, 0.047], [15612, 0.09], [15613, 0.11], [15614, 0.098], + [15616, 0.006], [15617, 0.052], [15618, 0.069], [15619, 0.061], + [15633, 0.01], [15634, 0.027], [15635, 0.025], [15746, 0.106], + [15748, 0.084], [15876, 0.025], [15877, 0.016], [16434, 0.038], + [16436, 0.01], [16437, 0.148], [16438, 0.141], [16439, 0.118], + [16440, 0.081], [16546, 0.032], [16547, 0.069], [16548, 0.161], + [16549, 0.128], [16550, 0.022], [16551, 0.095], [16552, 0.132], + [16553, 0.215], [16554, 0.191], [16555, 0.064], [16556, 0.166], + [16557, 0.2], [16558, 0.245], [16559, 0.243], [16560, 0.124], + [16561, 0.205], [16562, 0.234], [16563, 0.247], [16564, 0.249], + [16565, 0.178], [16566, 0.223], [16567, 0.24], [16568, 0.242], + [16569, 0.247], [16570, 0.205], [16571, 0.028], [16572, 0.115], + [16573, 0.07], [16574, 0.013], [16575, 0.062], [16576, 0.161], + [16577, 0.111], [16578, 0.021], [16579, 0.084], [16580, 0.183], + [16581, 0.144], [16582, 0.027], [16583, 0.094], [16584, 0.202], + [16585, 0.159], [16586, 0.031], [16587, 0.095], [16588, 0.206], + [16589, 0.165], [16590, 0.032], [16591, 0.15], [16592, 0.198], + [16593, 0.187], [16594, 0.198], [16595, 0.229], [16596, 0.223], + [16597, 0.224], [16598, 0.241], [16599, 0.242], [16600, 0.231], + [16601, 0.241], [16602, 0.242], [16603, 0.223], [16604, 0.231], + [16605, 0.236], [16867, 0.013], [16868, 0.018], [16874, 0.035], + [16875, 0.049], [16881, 0.055], [16882, 0.079], [16920, 0.047], + [16921, 0.09], [16922, 0.11], [16923, 0.098], [16925, 0.006], + [16926, 0.052], [16927, 0.069], [16928, 0.061], [16945, 0.01], + [16946, 0.027], [16947, 0.025], [17061, 0.004], [17062, 0.106], + [17064, 0.084], [17193, 0.025], [17194, 0.016], [17764, 0.038], + [17767, 0.01], [17768, 0.148], [17769, 0.141], [17770, 0.118], + [17771, 0.081], [17882, 0.022], [17883, 0.032], [17884, 0.069], + [17885, 0.161], [17886, 0.128], [17887, 0.022], [17888, 0.064], + [17889, 0.095], [17890, 0.132], [17891, 0.215], [17892, 0.191], + [17893, 0.064], [17894, 0.116], [17895, 0.166], [17896, 0.2], + [17897, 0.245], [17898, 0.243], [17899, 0.124], [17900, 0.169], + [17901, 0.205], [17902, 0.234], [17903, 0.247], [17904, 0.249], + [17905, 0.178], [17906, 0.201], [17907, 0.223], [17908, 0.24], + [17909, 0.242], [17910, 0.247], [17911, 0.205], [17912, 0.009], + [17913, 0.028], [17914, 0.115], [17915, 0.07], [17916, 0.013], + [17917, 0.01], [17918, 0.062], [17919, 0.161], [17920, 0.111], + [17921, 0.021], [17922, 0.008], [17923, 0.084], [17924, 0.183], + [17925, 0.144], [17926, 0.027], [17927, 0.006], [17928, 0.094], + [17929, 0.202], [17930, 0.159], [17931, 0.031], [17932, 0.005], + [17933, 0.095], [17934, 0.206], [17935, 0.165], [17936, 0.032], + [17937, 0.15], [17938, 0.198], [17939, 0.187], [17940, 0.198], + [17941, 0.229], [17942, 0.223], [17943, 0.224], [17944, 0.241], + [17945, 0.242], [17946, 0.231], [17947, 0.241], [17948, 0.242], + [17949, 0.223], [17950, 0.231], [17951, 0.236], [18770, 0.146], + [18771, 0.136], [18772, 0.047], [18773, 0.326], [18774, 0.022], + [18775, 0.193], [18777, 0.075], [18805, 0.15], [18818, 0.072], + [18819, 0.069], [18820, 0.181], [18821, 0.095], [18822, 0.29], + [18823, 0.119], [18824, 0.192], [18825, 0.089], [18826, 0.089], + [18850, 0.081], [18851, 0.122], [18852, 0.128], [18853, 0.129], + [18854, 0.131], [18855, 0.249], [18856, 0.105], [18857, 0.343], + [18859, 0.026], [18882, 0.081], [18883, 0.073], [18884, 0.182], + [18885, 0.139], [18886, 0.221], [18887, 0.191], [18888, 0.228], + [18889, 0.196], [18890, 0.024], [18891, 0.025], [18914, 0.112], + [18915, 0.085], [18916, 0.141], [18917, 0.149], [18918, 0.284], + [18919, 0.197], [18920, 0.378], [18921, 0.22], [18922, 0.034], + [18923, 0.023], [18984, 0.146], [18985, 0.136], [18986, 0.047], + [18987, 0.326], [18988, 0.022], [18989, 0.193], [18991, 0.075], + [19019, 0.15], [19032, 0.072], [19033, 0.069], [19034, 0.181], + [19035, 0.095], [19036, 0.29], [19037, 0.119], [19038, 0.192], + [19039, 0.089], [19040, 0.089], [19064, 0.081], [19065, 0.122], + [19066, 0.128], [19067, 0.129], [19068, 0.131], [19069, 0.249], + [19070, 0.105], [19071, 0.343], [19073, 0.026], [19096, 0.081], + [19097, 0.073], [19098, 0.182], [19099, 0.139], [19100, 0.221], + [19101, 0.191], [19102, 0.228], [19103, 0.196], [19104, 0.024], + [19105, 0.025], [19128, 0.112], [19129, 0.085], [19130, 0.141], + [19131, 0.149], [19132, 0.284], [19133, 0.197], [19134, 0.378], + [19135, 0.22], [19136, 0.034], [19137, 0.023] + ], + "neck02": [ + [726, 0.026], [727, 0.027], [739, 0.049], [740, 0.06], + [741, 0.066], [742, 0.063], [743, 0.063], [744, 0.052], + [745, 0.13], [746, 0.055], [747, 0.026], [748, 0.127], + [749, 0.173], [750, 0.165], [751, 0.217], [752, 0.203], + [753, 0.226], [754, 0.212], [755, 0.207], [756, 0.197], + [757, 0.172], [758, 0.168], [759, 0.108], [760, 0.112], + [761, 0.194], [762, 0.166], [763, 0.237], [764, 0.207], + [765, 0.28], [766, 0.247], [767, 0.286], [768, 0.252], + [769, 0.26], [770, 0.226], [771, 0.216], [772, 0.185], + [773, 0.136], [774, 0.118], [775, 0.223], [776, 0.334], + [777, 0.316], [778, 0.273], [779, 0.18], [780, 0.052], + [781, 0.216], [782, 0.224], [783, 0.216], [784, 0.25], + [785, 0.299], [786, 0.308], [787, 0.299], [788, 0.308], + [789, 0.382], [790, 0.393], [791, 0.382], [792, 0.367], + [793, 0.417], [794, 0.408], [795, 0.428], [796, 0.272], + [797, 0.417], [798, 0.389], [799, 0.407], [800, 0.396], + [801, 0.418], [802, 0.37], [803, 0.407], [804, 0.378], + [805, 0.361], [806, 0.361], [807, 0.374], [808, 0.41], + [809, 0.361], [810, 0.342], [811, 0.245], [812, 0.277], + [813, 0.261], [814, 0.422], [815, 0.244], [816, 0.256], + [817, 0.206], [818, 0.219], [819, 0.214], [820, 0.192], + [821, 0.162], [822, 0.115], [823, 0.216], [824, 0.221], + [825, 0.214], [826, 0.195], [827, 0.166], [828, 0.119], + [829, 0.235], [830, 0.234], [831, 0.223], [832, 0.204], + [833, 0.174], [834, 0.126], [835, 0.23], [836, 0.227], + [837, 0.216], [838, 0.194], [839, 0.163], [840, 0.114], + [841, 0.232], [842, 0.222], [843, 0.203], [844, 0.173], + [845, 0.135], [846, 0.082], [847, 0.242], [848, 0.224], + [849, 0.197], [850, 0.16], [851, 0.121], [852, 0.079], + [853, 0.249], [854, 0.229], [855, 0.201], [856, 0.163], + [857, 0.118], [858, 0.058], [884, 0.015], [885, 0.192], + [886, 0.161], [887, 0.227], [888, 0.229], [889, 0.234], + [890, 0.24], [891, 0.031], [892, 0.031], [893, 0.032], + [894, 0.029], [895, 0.024], [911, 0.016], [912, 0.008], + [913, 0.062], [920, 0.065], [921, 0.03], [922, 0.032], + [923, 0.257], [924, 0.32], [925, 0.32], [926, 0.247], + [927, 0.226], [928, 0.35], [929, 0.337], [930, 0.299], + [931, 0.209], [933, 0.015], [934, 0.244], [936, 0.007], + [937, 0.032], [938, 0.059], [939, 0.056], [940, 0.053], + [941, 0.085], [944, 0.007], [945, 0.018], [946, 0.02], + [947, 0.019], [948, 0.041], [952, 0.003], [953, 0.004], + [954, 0.003], [955, 0.004], [989, 0.095], [990, 0.099], + [991, 0.095], [992, 0.11], [993, 0.11], [994, 0.115], + [995, 0.119], [996, 0.067], [997, 0.066], [998, 0.097], + [999, 0.126], [1000, 0.122], [1001, 0.118], [1002, 0.118], + [1003, 0.004], [1017, 0.058], [1018, 0.249], [1019, 0.229], + [1023, 0.244], [1026, 0.004], [1027, 0.041], [1028, 0.085], + [1030, 0.163], [1031, 0.201], [1032, 0.118], [1033, 0.271], + [1034, 0.279], [1035, 0.32], [1036, 0.331], [1037, 0.384], + [1038, 0.393], [1039, 0.241], [1040, 0.127], [1042, 0.237], + [1043, 0.063], [1044, 0.203], [1045, 0.071], [1047, 0.002], + [1048, 0.022], [1051, 0.169], [1053, 0.226], [1385, 0.025], + [1386, 0.02], [1387, 0.013], [1388, 0.032], [1389, 0.023], + [1395, 0.049], [1396, 0.04], [1397, 0.026], [1398, 0.064], + [1403, 0.071], [1453, 0.015], [1454, 0.03], [1460, 0.199], + [1461, 0.194], [1462, 0.142], [1463, 0.118], [1464, 0.089], + [1465, 0.012], [1466, 0.008], [1467, 0.008], [1468, 0.015], + [1469, 0.017], [1470, 0.028], [1471, 0.032], [1475, 0.058], + [1478, 0.03], [1479, 0.028], [1480, 0.027], [1481, 0.026], + [1482, 0.024], [1483, 0.042], [1484, 0.046], [1485, 0.047], + [1486, 0.048], [1487, 0.051], [1488, 0.048], [1489, 0.03], + [1490, 0.027], [1491, 0.016], [1492, 0.016], [1493, 0.023], + [1494, 0.043], [1495, 0.032], [1496, 0.032], [1497, 0.051], + [1498, 0.053], [1499, 0.079], [1500, 0.087], [1501, 0.081], + [1503, 0.079], [1504, 0.076], [1505, 0.071], [1508, 0.029], + [1509, 0.065], [1510, 0.182], [1511, 0.179], [1512, 0.077], + [1513, 0.112], [1514, 0.113], [1515, 0.127], [1516, 0.123], + [1517, 0.086], [1518, 0.07], [1519, 0.052], [1520, 0.045], + [1521, 0.169], [1522, 0.168], [1523, 0.105], [1524, 0.104], + [1525, 0.053], [1526, 0.054], [1527, 0.026], [1528, 0.026], + [1537, 0.006], [1538, 0.004], [1539, 0.004], [1540, 0.007], + [1541, 0.008], [1542, 0.014], [1543, 0.015], [1544, 0.014], + [1545, 0.014], [1546, 0.013], [1547, 0.012], [3687, 0.161], + [3688, 0.233], [3689, 0.32], [3690, 0.358], [3691, 0.37], + [3692, 0.349], [3693, 0.294], [3694, 0.238], [3695, 0.12], + [3696, 0.063], [3697, 0.031], [3751, 0.099], [3752, 0.056], + [3753, 0.028], [5266, 0.178], [5267, 0.178], [5268, 0.156], + [5269, 0.147], [5270, 0.167], [5271, 0.176], [5272, 0.149], + [5273, 0.052], [5274, 0.026], [5276, 0.007], [5277, 0.062], + [5278, 0.219], [5279, 0.229], [5280, 0.236], [5281, 0.238], + [5282, 0.233], [5283, 0.24], [5284, 0.24], [5285, 0.119], + [5544, 0.129], [5545, 0.129], [5546, 0.106], [5547, 0.103], + [5550, 0.113], [5553, 0.119], [5557, 0.082], [5558, 0.012], + [5561, 0.024], [7448, 0.026], [7449, 0.027], [7459, 0.049], + [7460, 0.06], [7461, 0.066], [7462, 0.063], [7463, 0.063], + [7464, 0.052], [7465, 0.13], [7466, 0.055], [7467, 0.127], + [7468, 0.173], [7469, 0.165], [7470, 0.217], [7471, 0.203], + [7472, 0.226], [7473, 0.212], [7474, 0.207], [7475, 0.197], + [7476, 0.172], [7477, 0.168], [7478, 0.108], [7479, 0.112], + [7480, 0.194], [7481, 0.166], [7482, 0.237], [7483, 0.207], + [7484, 0.28], [7485, 0.247], [7486, 0.286], [7487, 0.252], + [7488, 0.26], [7489, 0.226], [7490, 0.216], [7491, 0.185], + [7492, 0.136], [7493, 0.118], [7494, 0.223], [7495, 0.334], + [7496, 0.316], [7497, 0.273], [7498, 0.18], [7499, 0.216], + [7500, 0.224], [7501, 0.25], [7502, 0.299], [7503, 0.308], + [7504, 0.308], [7505, 0.382], [7506, 0.393], [7507, 0.367], + [7508, 0.417], [7509, 0.408], [7510, 0.428], [7511, 0.272], + [7512, 0.389], [7513, 0.407], [7514, 0.396], [7515, 0.418], + [7516, 0.37], [7517, 0.378], [7518, 0.361], [7519, 0.361], + [7520, 0.374], [7521, 0.41], [7522, 0.342], [7523, 0.245], + [7524, 0.277], [7525, 0.261], [7526, 0.422], [7527, 0.256], + [7528, 0.206], [7529, 0.219], [7530, 0.214], [7531, 0.192], + [7532, 0.162], [7533, 0.115], [7534, 0.216], [7535, 0.221], + [7536, 0.214], [7537, 0.195], [7538, 0.166], [7539, 0.119], + [7540, 0.235], [7541, 0.234], [7542, 0.223], [7543, 0.204], + [7544, 0.174], [7545, 0.126], [7546, 0.23], [7547, 0.227], + [7548, 0.216], [7549, 0.194], [7550, 0.163], [7551, 0.114], + [7552, 0.232], [7553, 0.222], [7554, 0.203], [7555, 0.173], + [7556, 0.135], [7557, 0.082], [7558, 0.242], [7559, 0.224], + [7560, 0.197], [7561, 0.16], [7562, 0.121], [7563, 0.079], + [7586, 0.015], [7587, 0.192], [7588, 0.161], [7589, 0.227], + [7590, 0.229], [7591, 0.234], [7592, 0.24], [7593, 0.031], + [7594, 0.031], [7595, 0.032], [7596, 0.029], [7597, 0.024], + [7613, 0.016], [7614, 0.008], [7615, 0.062], [7622, 0.065], + [7623, 0.03], [7624, 0.032], [7625, 0.257], [7626, 0.32], + [7627, 0.32], [7628, 0.247], [7629, 0.226], [7630, 0.35], + [7631, 0.337], [7632, 0.299], [7633, 0.209], [7635, 0.015], + [7637, 0.007], [7638, 0.032], [7639, 0.059], [7640, 0.056], + [7641, 0.053], [7644, 0.007], [7645, 0.018], [7646, 0.02], + [7647, 0.019], [7651, 0.003], [7652, 0.004], [7653, 0.003], + [7684, 0.095], [7685, 0.099], [7686, 0.11], [7687, 0.11], + [7688, 0.115], [7689, 0.119], [7690, 0.067], [7691, 0.066], + [7692, 0.097], [7693, 0.126], [7694, 0.122], [7695, 0.118], + [7696, 0.118], [7697, 0.004], [7709, 0.058], [7710, 0.249], + [7711, 0.229], [7715, 0.244], [7718, 0.004], [7719, 0.041], + [7720, 0.085], [7722, 0.163], [7723, 0.201], [7724, 0.118], + [7725, 0.271], [7726, 0.279], [7727, 0.32], [7728, 0.331], + [7729, 0.384], [7730, 0.393], [7731, 0.241], [7732, 0.127], + [7734, 0.237], [7735, 0.063], [7736, 0.203], [7737, 0.071], + [7739, 0.002], [7740, 0.022], [7743, 0.169], [7745, 0.226], + [8077, 0.025], [8078, 0.02], [8079, 0.013], [8080, 0.032], + [8081, 0.023], [8087, 0.049], [8088, 0.04], [8089, 0.026], + [8090, 0.064], [8091, 0.071], [8141, 0.015], [8142, 0.03], + [8148, 0.199], [8149, 0.194], [8150, 0.142], [8151, 0.118], + [8152, 0.089], [8153, 0.012], [8154, 0.008], [8155, 0.015], + [8156, 0.017], [8157, 0.028], [8158, 0.032], [8161, 0.058], + [8164, 0.03], [8165, 0.028], [8166, 0.027], [8167, 0.026], + [8168, 0.024], [8169, 0.042], [8170, 0.046], [8171, 0.047], + [8172, 0.048], [8173, 0.051], [8174, 0.048], [8175, 0.03], + [8176, 0.027], [8177, 0.016], [8178, 0.023], [8179, 0.043], + [8180, 0.032], [8181, 0.051], [8182, 0.053], [8183, 0.079], + [8184, 0.087], [8185, 0.081], [8187, 0.079], [8188, 0.076], + [8189, 0.071], [8192, 0.029], [8193, 0.065], [8194, 0.182], + [8195, 0.179], [8196, 0.077], [8197, 0.112], [8198, 0.113], + [8199, 0.127], [8200, 0.123], [8201, 0.086], [8202, 0.07], + [8203, 0.052], [8204, 0.045], [8205, 0.169], [8206, 0.105], + [8207, 0.053], [8208, 0.026], [8217, 0.006], [8218, 0.004], + [8219, 0.007], [8220, 0.008], [8221, 0.014], [8222, 0.015], + [8223, 0.014], [8224, 0.014], [8225, 0.013], [8226, 0.012], + [10355, 0.161], [10356, 0.233], [10357, 0.32], [10358, 0.358], + [10359, 0.37], [10360, 0.349], [10361, 0.294], [10362, 0.238], + [10363, 0.12], [10364, 0.063], [10365, 0.031], [10418, 0.099], + [10419, 0.056], [10420, 0.028], [11874, 0.178], [11875, 0.156], + [11876, 0.147], [11877, 0.167], [11878, 0.176], [11879, 0.149], + [11880, 0.052], [11881, 0.026], [11883, 0.007], [11884, 0.062], + [11885, 0.219], [11886, 0.229], [11887, 0.236], [11888, 0.238], + [11889, 0.233], [11890, 0.24], [11891, 0.119], [12143, 0.129], + [12144, 0.106], [12145, 0.103], [12148, 0.113], [12151, 0.119], + [12154, 0.082], [12155, 0.012], [12158, 0.024], [14070, 1.0], + [14071, 1.0], [14072, 1.0], [14073, 1.0], [14074, 1.0], + [14075, 1.0], [14076, 1.0], [14077, 1.0], [15563, 0.007], + [15564, 0.004], [15570, 0.016], [15571, 0.011], [15572, 0.006], + [15577, 0.025], [15578, 0.018], [15579, 0.018], [15611, 0.007], + [15612, 0.015], [15613, 0.019], [15614, 0.017], [15617, 0.009], + [15618, 0.011], [15619, 0.011], [15633, 0.002], [15634, 0.004], + [15635, 0.005], [15746, 0.024], [15747, 0.046], [15748, 0.033], + [15876, 0.033], [15877, 0.018], [16434, 0.048], [16437, 0.026], + [16438, 0.026], [16439, 0.021], [16440, 0.012], [16475, 0.018], + [16482, 0.043], [16546, 0.003], [16547, 0.007], [16548, 0.032], + [16549, 0.019], [16550, 0.002], [16551, 0.009], [16552, 0.016], + [16553, 0.051], [16554, 0.036], [16555, 0.004], [16556, 0.023], + [16557, 0.034], [16558, 0.069], [16559, 0.057], [16560, 0.014], + [16561, 0.044], [16562, 0.06], [16563, 0.086], [16564, 0.079], + [16565, 0.031], [16566, 0.058], [16567, 0.072], [16568, 0.093], + [16569, 0.089], [16570, 0.058], [16571, 0.087], [16572, 0.047], + [16573, 0.072], [16574, 0.094], [16575, 0.126], [16576, 0.062], + [16577, 0.093], [16578, 0.148], [16579, 0.162], [16580, 0.079], + [16581, 0.123], [16582, 0.189], [16583, 0.171], [16584, 0.096], + [16585, 0.123], [16586, 0.201], [16587, 0.171], [16588, 0.1], + [16589, 0.123], [16590, 0.203], [16591, 0.038], [16592, 0.038], + [16593, 0.038], [16594, 0.05], [16595, 0.052], [16596, 0.052], + [16597, 0.07], [16598, 0.07], [16599, 0.068], [16600, 0.088], + [16601, 0.084], [16602, 0.085], [16603, 0.094], [16604, 0.091], + [16605, 0.09], [16867, 0.007], [16868, 0.004], [16874, 0.016], + [16875, 0.011], [16876, 0.006], [16881, 0.025], [16882, 0.018], + [16883, 0.018], [16912, 0.018], [16920, 0.007], [16921, 0.015], + [16922, 0.019], [16923, 0.017], [16926, 0.009], [16927, 0.011], + [16928, 0.011], [16945, 0.002], [16946, 0.004], [16947, 0.005], + [17061, 0.039], [17062, 0.024], [17063, 0.046], [17064, 0.033], + [17193, 0.033], [17194, 0.018], [17764, 0.048], [17768, 0.026], + [17769, 0.026], [17770, 0.021], [17771, 0.012], [17809, 0.018], + [17816, 0.043], [17882, 0.002], [17883, 0.003], [17884, 0.007], + [17885, 0.032], [17886, 0.019], [17887, 0.002], [17888, 0.004], + [17889, 0.009], [17890, 0.016], [17891, 0.051], [17892, 0.036], + [17893, 0.004], [17894, 0.012], [17895, 0.023], [17896, 0.034], + [17897, 0.069], [17898, 0.057], [17899, 0.014], [17900, 0.027], + [17901, 0.044], [17902, 0.06], [17903, 0.086], [17904, 0.079], + [17905, 0.031], [17906, 0.055], [17907, 0.058], [17908, 0.072], + [17909, 0.093], [17910, 0.089], [17911, 0.058], [17912, 0.099], + [17913, 0.087], [17914, 0.047], [17915, 0.072], [17916, 0.094], + [17917, 0.143], [17918, 0.126], [17919, 0.062], [17920, 0.093], + [17921, 0.148], [17922, 0.187], [17923, 0.162], [17924, 0.079], + [17925, 0.123], [17926, 0.189], [17927, 0.201], [17928, 0.171], + [17929, 0.096], [17930, 0.123], [17931, 0.201], [17932, 0.203], + [17933, 0.171], [17934, 0.1], [17935, 0.123], [17936, 0.203], + [17937, 0.038], [17938, 0.038], [17939, 0.038], [17940, 0.05], + [17941, 0.052], [17942, 0.052], [17943, 0.07], [17944, 0.07], + [17945, 0.068], [17946, 0.088], [17947, 0.084], [17948, 0.085], + [17949, 0.094], [17950, 0.091], [17951, 0.09], [18771, 0.113], + [18772, 0.317], [18773, 0.193], [18774, 0.179], [18775, 0.098], + [18776, 0.072], [18818, 0.064], [18819, 0.092], [18820, 0.095], + [18821, 0.099], [18822, 0.13], [18823, 0.101], [18824, 0.073], + [18825, 0.062], [18850, 0.075], [18851, 0.051], [18852, 0.185], + [18853, 0.22], [18854, 0.128], [18855, 0.136], [18856, 0.027], + [18857, 0.028], [18882, 0.089], [18883, 0.086], [18884, 0.219], + [18885, 0.294], [18886, 0.113], [18887, 0.144], [18888, 0.033], + [18889, 0.034], [18914, 0.045], [18915, 0.076], [18916, 0.238], + [18917, 0.176], [18918, 0.125], [18919, 0.099], [18920, 0.026], + [18921, 0.027], [18985, 0.113], [18986, 0.317], [18987, 0.193], + [18988, 0.179], [18989, 0.098], [18990, 0.072], [19032, 0.064], + [19033, 0.092], [19034, 0.095], [19035, 0.099], [19036, 0.13], + [19037, 0.101], [19038, 0.073], [19039, 0.062], [19064, 0.075], + [19065, 0.051], [19066, 0.185], [19067, 0.22], [19068, 0.128], + [19069, 0.136], [19070, 0.027], [19071, 0.028], [19096, 0.089], + [19097, 0.086], [19098, 0.219], [19099, 0.294], [19100, 0.113], + [19101, 0.144], [19102, 0.033], [19103, 0.034], [19128, 0.045], + [19129, 0.076], [19130, 0.238], [19131, 0.176], [19132, 0.125], + [19133, 0.099], [19134, 0.026], [19135, 0.027] + ], + "neck03": [ + [745, 0.088], [748, 0.148], [749, 0.068], [750, 0.114], + [751, 0.047], [752, 0.08], [753, 0.031], [754, 0.052], + [755, 0.018], [756, 0.031], [762, 0.009], [764, 0.007], + [766, 0.005], [768, 0.003], [817, 0.14], [818, 0.098], + [819, 0.064], [820, 0.037], [821, 0.016], [822, 0.007], + [823, 0.119], [824, 0.083], [825, 0.054], [826, 0.032], + [827, 0.014], [828, 0.006], [829, 0.052], [830, 0.037], + [831, 0.024], [832, 0.014], [833, 0.006], [834, 0.002], + [835, 0.039], [836, 0.028], [837, 0.018], [838, 0.011], + [839, 0.005], [840, 0.002], [841, 0.055], [842, 0.039], + [843, 0.025], [844, 0.015], [845, 0.007], [846, 0.003], + [847, 0.07], [848, 0.049], [849, 0.032], [850, 0.019], + [851, 0.008], [852, 0.003], [853, 0.091], [854, 0.064], + [855, 0.041], [856, 0.024], [857, 0.011], [858, 0.004], + [875, 0.008], [884, 0.024], [885, 0.183], [886, 0.162], + [887, 0.097], [888, 0.084], [889, 0.098], [890, 0.115], + [933, 0.109], [934, 0.139], [935, 0.068], [936, 0.043], + [937, 0.041], [938, 0.056], [939, 0.054], [940, 0.067], + [941, 0.061], [942, 0.057], [943, 0.051], [944, 0.054], + [945, 0.037], [946, 0.034], [947, 0.037], [948, 0.054], + [949, 0.007], [950, 0.037], [951, 0.01], [992, 0.156], + [996, 0.107], [997, 0.047], [1002, 0.183], [1003, 0.061], + [1004, 0.051], [1005, 0.022], [1017, 0.004], [1018, 0.091], + [1019, 0.064], [1023, 0.139], [1027, 0.054], [1028, 0.061], + [1030, 0.024], [1031, 0.041], [1032, 0.011], [1039, 0.067], + [1040, 0.008], [1042, 0.116], [1043, 0.067], [1044, 0.031], + [1045, 0.003], [1048, 0.045], [1051, 0.018], [1053, 0.047], + [1485, 0.002], [1486, 0.001], [1491, 0.001], [1492, 0.001], + [1494, 0.002], [1495, 0.002], [1496, 0.002], [1497, 0.002], + [1498, 0.001], [1500, 0.001], [1501, 0.003], [1503, 0.003], + [5266, 0.122], [5267, 0.122], [5268, 0.136], [5269, 0.176], + [5270, 0.186], [5271, 0.157], [5272, 0.191], [5273, 0.133], + [5274, 0.1], [5275, 0.097], [5276, 0.133], [5277, 0.149], + [5278, 0.141], [5279, 0.13], [5280, 0.141], [5281, 0.16], + [5282, 0.165], [5283, 0.188], [5284, 0.188], [5285, 0.164], + [5407, 0.016], [5408, 0.016], [5409, 0.021], [5410, 0.023], + [5544, 0.077], [5545, 0.077], [5546, 0.082], [5547, 0.09], + [5550, 0.087], [5553, 0.104], [5557, 0.121], [5558, 0.075], + [5559, 0.074], [5561, 0.089], [5565, 0.015], [7465, 0.088], + [7467, 0.148], [7468, 0.068], [7469, 0.114], [7470, 0.047], + [7471, 0.08], [7472, 0.031], [7473, 0.052], [7474, 0.018], + [7475, 0.031], [7481, 0.009], [7483, 0.007], [7485, 0.005], + [7487, 0.003], [7528, 0.14], [7529, 0.098], [7530, 0.064], + [7531, 0.037], [7532, 0.016], [7533, 0.007], [7534, 0.119], + [7535, 0.083], [7536, 0.054], [7537, 0.032], [7538, 0.014], + [7539, 0.006], [7540, 0.052], [7541, 0.037], [7542, 0.024], + [7543, 0.014], [7544, 0.006], [7545, 0.002], [7546, 0.039], + [7547, 0.028], [7548, 0.018], [7549, 0.011], [7550, 0.005], + [7551, 0.002], [7552, 0.055], [7553, 0.039], [7554, 0.025], + [7555, 0.015], [7556, 0.007], [7557, 0.003], [7558, 0.07], + [7559, 0.049], [7560, 0.032], [7561, 0.019], [7562, 0.008], + [7563, 0.003], [7580, 0.008], [7586, 0.024], [7587, 0.183], + [7588, 0.162], [7589, 0.097], [7590, 0.084], [7591, 0.098], + [7592, 0.115], [7635, 0.109], [7636, 0.068], [7637, 0.043], + [7638, 0.041], [7639, 0.056], [7640, 0.054], [7641, 0.067], + [7642, 0.057], [7643, 0.051], [7644, 0.054], [7645, 0.037], + [7646, 0.034], [7647, 0.037], [7648, 0.007], [7649, 0.037], + [7650, 0.01], [7686, 0.156], [7690, 0.107], [7691, 0.047], + [7696, 0.183], [7697, 0.061], [7698, 0.051], [7699, 0.022], + [7709, 0.004], [7710, 0.091], [7711, 0.064], [7715, 0.139], + [7719, 0.054], [7720, 0.061], [7722, 0.024], [7723, 0.041], + [7724, 0.011], [7731, 0.067], [7732, 0.008], [7734, 0.116], + [7735, 0.067], [7736, 0.031], [7737, 0.003], [7740, 0.045], + [7743, 0.018], [7745, 0.047], [8171, 0.002], [8172, 0.001], + [8177, 0.001], [8179, 0.002], [8180, 0.002], [8181, 0.002], + [8182, 0.001], [8184, 0.001], [8185, 0.003], [8187, 0.003], + [11874, 0.122], [11875, 0.136], [11876, 0.176], [11877, 0.186], + [11878, 0.157], [11879, 0.191], [11880, 0.133], [11881, 0.1], + [11882, 0.097], [11883, 0.133], [11884, 0.149], [11885, 0.141], + [11886, 0.13], [11887, 0.141], [11888, 0.16], [11889, 0.165], + [11890, 0.188], [11891, 0.164], [12006, 0.016], [12007, 0.016], + [12008, 0.021], [12009, 0.023], [12143, 0.077], [12144, 0.082], + [12145, 0.09], [12148, 0.087], [12151, 0.104], [12154, 0.121], + [12155, 0.075], [12156, 0.074], [12158, 0.089], [12162, 0.015], + [16557, 0.001], [16561, 0.002], [16562, 0.002], [16563, 0.004], + [16564, 0.002], [16565, 0.002], [16566, 0.004], [16567, 0.004], + [16568, 0.007], [16569, 0.004], [16570, 0.004], [16588, 0.01], + [16600, 0.009], [16601, 0.009], [16602, 0.008], [16603, 0.014], + [16604, 0.014], [16605, 0.012], [17896, 0.001], [17900, 0.002], + [17901, 0.002], [17902, 0.002], [17903, 0.004], [17904, 0.002], + [17905, 0.002], [17906, 0.005], [17907, 0.004], [17908, 0.004], + [17909, 0.007], [17910, 0.004], [17911, 0.004], [17934, 0.01], + [17946, 0.009], [17947, 0.009], [17948, 0.008], [17949, 0.014], + [17950, 0.014], [17951, 0.012] + ], + "oculi01.L": [ + [132, 0.047], [133, 0.022], [134, 0.007], [136, 0.073], + [169, 0.094], [220, 0.117], [227, 0.134], [234, 0.114], + [237, 0.097], [244, 0.059], [251, 0.018], [948, 0.003], + [983, 0.005], [1015, 0.002], [1027, 0.003], [1048, 0.003], + [1111, 0.001], [1128, 0.001], [1132, 0.002], [1151, 0.011], + [1152, 0.006], [1153, 0.003], [1158, 0.002], [1203, 0.002], + [1230, 0.001], [3750, 0.075], [5192, 0.035], [5243, 0.009], + [5320, 0.091], [6788, 0.114], [6789, 0.114], [6792, 0.072], + [6795, 0.027], [6798, 0.013], [6801, 0.008], [6804, 0.004], + [6840, 0.099], [6843, 0.075], [6846, 0.064], [6848, 0.03], + [6849, 0.062], [6851, 0.017], [6852, 0.034], [6854, 0.011], + [6855, 0.023], [6857, 0.002], [6858, 0.006], [6865, 0.002], + [6866, 0.067], [6867, 0.029], [6868, 0.014], [6873, 0.401], + [6874, 0.42], [6875, 0.252], [6876, 0.131], [6877, 0.361], + [6878, 0.283], [6879, 0.24], [6880, 0.132], [6881, 0.067], + [6882, 0.047], [6883, 0.016], [6885, 0.064], [6887, 0.191], + [6888, 0.169], [6889, 0.083], [6890, 0.058], [6891, 0.022], + [6892, 0.255], [6893, 0.179], [6894, 0.084], [6895, 0.053], + [6896, 0.019], [6897, 0.273], [6898, 0.189], [6899, 0.085], + [6900, 0.048], [6901, 0.015], [6902, 0.292], [6904, 0.156], + [6905, 0.069], [6906, 0.027], [6907, 0.003], [6908, 0.242], + [6910, 0.095], [6911, 0.043], [6912, 0.015], [6913, 0.002], + [6914, 0.146], [6921, 0.003], [6922, 0.092], [6923, 0.041], + [6924, 0.021], [6929, 0.599], [6930, 0.634], [6931, 0.369], + [6932, 0.19], [6933, 0.542], [6934, 0.426], [6935, 0.354], + [6936, 0.022], [6937, 0.043], [6938, 0.071], [6942, 0.388], + [6943, 0.423], [6944, 0.34], [6945, 0.189], [6946, 0.668], + [6947, 0.744], [6948, 0.407], [6949, 0.177], [6950, 0.634], + [6951, 0.501], [6952, 0.736], [6953, 0.854], [6954, 0.446], + [6955, 0.226], [6956, 0.726], [6957, 0.576], [6964, 0.023], + [6965, 0.044], [6966, 0.084], [6979, 0.711], [6980, 0.749], + [6981, 0.419], [6982, 0.242], [6983, 0.541], [6984, 0.448], + [6985, 0.022], [6986, 0.042], [6987, 0.081], [6995, 0.233], + [6996, 0.641], [6997, 0.631], [6998, 0.387], [6999, 0.231], + [7000, 0.007], [7001, 0.269], [7002, 0.581], [7003, 0.504], + [7004, 0.354], [7005, 0.211], [7006, 0.439], [7007, 0.228], + [7008, 0.349], [7009, 0.193], [7010, 0.104], [7011, 0.086], + [7012, 0.05], [7013, 0.025], [7014, 0.193], [7015, 0.118], + [7016, 0.026], [7017, 0.022], [7018, 0.013], [7019, 0.007], + [7020, 0.056], [7021, 0.037], [7022, 0.02], [7023, 0.039], + [7024, 0.075], [7029, 0.018], [7030, 0.035], [7031, 0.068], + [7033, 0.003], [7034, 0.007], [7035, 0.013], [7040, 0.002], + [7041, 0.003], [7042, 0.002], [7436, 0.285], [7437, 0.34], + [7438, 0.171], [7439, 0.087], [7440, 0.01], [7442, 0.021], + [7443, 0.041], [7598, 0.53], [7611, 0.003], [7669, 0.003], + [7672, 0.007], [7676, 0.013], [7677, 0.011], [7678, 0.015], + [7679, 0.009], [7707, 0.005], [7719, 0.003], [7740, 0.003], + [7749, 0.003], [7750, 0.004], [7751, 0.002], [7775, 0.003], + [7776, 0.003], [7777, 0.002], [7778, 0.005], [7779, 0.007], + [7803, 0.002], [7817, 0.015], [7820, 0.015], [7821, 0.01], + [7822, 0.014], [7824, 0.028], [7825, 0.007], [7826, 0.012], + [7843, 0.035], [7844, 0.022], [7845, 0.023], [7846, 0.011], + [7847, 0.007], [7848, 0.015], [7850, 0.025], [7895, 0.013], + [7896, 0.006], [7897, 0.003], [7906, 0.002], [7921, 0.003], + [7922, 0.006], [10409, 0.013], [10410, 0.026], [10411, 0.052], + [10412, 0.135], [10413, 0.266], [10414, 0.435], [10415, 0.37], + [10416, 0.256], [10417, 0.15], [11491, 0.011], [11492, 0.179], + [11493, 0.152], [11494, 0.162], [11495, 0.027], [11496, 0.018], + [11497, 0.009], [11506, 0.001], [11509, 0.127], [11510, 0.035], + [11511, 0.097], [11512, 0.051], [11513, 0.23], [11514, 0.258], + [11515, 0.267], [11516, 0.059], [11802, 0.209], [11803, 0.05], + [11804, 0.071], [11805, 0.107], [11807, 0.173], [11808, 0.094], + [11809, 0.007], [11810, 0.013], [11811, 0.025], [11838, 0.025], + [11839, 0.013], [11840, 0.052], [11841, 0.043], [11842, 0.003], + [11843, 0.007], [11848, 0.002], [11852, 0.019], [11853, 0.029], + [11855, 0.003], [11867, 0.323], [11868, 0.193], [11869, 0.062], + [11870, 0.032], [11871, 0.016], [11873, 0.319], [11923, 0.455], + [11924, 0.182], [13353, 0.007], [13355, 0.001], [13356, 0.003], + [13357, 0.005], [13358, 0.007], [14600, 0.031] + ], + "oculi01.R": [ + [4, 0.114], [5, 0.114], [8, 0.072], [11, 0.027], + [14, 0.013], [17, 0.008], [20, 0.004], [56, 0.099], + [59, 0.075], [62, 0.064], [64, 0.03], [65, 0.062], + [67, 0.017], [68, 0.034], [70, 0.011], [71, 0.023], + [73, 0.002], [74, 0.006], [81, 0.002], [82, 0.067], + [83, 0.029], [84, 0.014], [89, 0.401], [90, 0.42], + [91, 0.252], [92, 0.131], [93, 0.361], [94, 0.283], + [95, 0.24], [96, 0.132], [97, 0.067], [98, 0.047], + [99, 0.016], [101, 0.064], [103, 0.191], [104, 0.169], + [105, 0.083], [106, 0.058], [107, 0.022], [108, 0.255], + [109, 0.179], [110, 0.084], [111, 0.053], [112, 0.019], + [113, 0.273], [114, 0.189], [115, 0.085], [116, 0.048], + [117, 0.015], [118, 0.292], [120, 0.156], [121, 0.069], + [122, 0.027], [123, 0.003], [124, 0.242], [126, 0.095], + [127, 0.043], [128, 0.015], [129, 0.002], [130, 0.146], + [132, 0.047], [133, 0.022], [134, 0.007], [136, 0.073], + [143, 0.003], [144, 0.092], [145, 0.041], [146, 0.021], + [151, 0.599], [152, 0.634], [153, 0.369], [154, 0.19], + [155, 0.542], [156, 0.426], [157, 0.354], [158, 0.022], + [159, 0.043], [160, 0.071], [165, 0.388], [166, 0.423], + [167, 0.34], [168, 0.189], [169, 0.094], [170, 0.668], + [171, 0.744], [172, 0.407], [173, 0.177], [174, 0.634], + [175, 0.501], [176, 0.736], [177, 0.854], [178, 0.446], + [179, 0.226], [180, 0.726], [181, 0.576], [188, 0.023], + [189, 0.044], [190, 0.084], [204, 0.711], [205, 0.749], + [206, 0.419], [207, 0.242], [208, 0.541], [209, 0.448], + [210, 0.022], [211, 0.042], [212, 0.081], [220, 0.117], + [221, 0.233], [222, 0.641], [223, 0.631], [224, 0.387], + [225, 0.231], [226, 0.007], [227, 0.134], [228, 0.269], + [229, 0.581], [230, 0.504], [231, 0.354], [232, 0.211], + [233, 0.439], [234, 0.114], [235, 0.228], [236, 0.349], + [237, 0.097], [238, 0.193], [239, 0.104], [240, 0.086], + [241, 0.05], [242, 0.025], [243, 0.193], [244, 0.059], + [245, 0.118], [246, 0.026], [247, 0.022], [248, 0.013], + [249, 0.007], [250, 0.056], [251, 0.018], [252, 0.037], + [253, 0.02], [254, 0.039], [255, 0.075], [260, 0.018], + [261, 0.035], [262, 0.068], [264, 0.003], [265, 0.007], + [266, 0.013], [271, 0.002], [272, 0.003], [273, 0.002], + [713, 0.285], [714, 0.34], [715, 0.171], [716, 0.087], + [717, 0.01], [719, 0.021], [720, 0.041], [896, 0.53], + [909, 0.003], [948, 0.003], [973, 0.003], [976, 0.007], + [980, 0.013], [981, 0.011], [982, 0.015], [983, 0.005], + [984, 0.009], [1014, 0.005], [1015, 0.002], [1027, 0.003], + [1048, 0.003], [1057, 0.003], [1058, 0.004], [1059, 0.002], + [1083, 0.003], [1084, 0.003], [1085, 0.002], [1086, 0.005], + [1087, 0.007], [1111, 0.002], [1125, 0.015], [1128, 0.015], + [1129, 0.01], [1130, 0.014], [1132, 0.028], [1133, 0.007], + [1134, 0.012], [1151, 0.035], [1152, 0.022], [1153, 0.023], + [1154, 0.011], [1155, 0.007], [1156, 0.015], [1158, 0.025], + [1203, 0.013], [1204, 0.006], [1205, 0.003], [1214, 0.002], + [1229, 0.003], [1230, 0.006], [3741, 0.013], [3742, 0.026], + [3743, 0.052], [3744, 0.135], [3745, 0.266], [3746, 0.435], + [3747, 0.37], [3748, 0.256], [3749, 0.15], [3750, 0.075], + [4873, 0.011], [4874, 0.179], [4875, 0.152], [4876, 0.162], + [4877, 0.027], [4878, 0.018], [4879, 0.009], [4888, 0.001], + [4891, 0.127], [4892, 0.035], [4893, 0.097], [4894, 0.051], + [4895, 0.23], [4896, 0.258], [4897, 0.267], [4898, 0.059], + [5190, 0.209], [5191, 0.05], [5192, 0.035], [5193, 0.071], + [5194, 0.107], [5196, 0.173], [5197, 0.094], [5198, 0.007], + [5199, 0.013], [5200, 0.025], [5229, 0.025], [5230, 0.013], + [5231, 0.052], [5232, 0.043], [5233, 0.003], [5234, 0.007], + [5239, 0.002], [5243, 0.009], [5244, 0.019], [5245, 0.029], + [5247, 0.003], [5259, 0.323], [5260, 0.193], [5261, 0.062], + [5262, 0.032], [5263, 0.016], [5265, 0.319], [5318, 0.455], + [5319, 0.182], [5320, 0.091], [6757, 0.007], [6759, 0.001], + [6760, 0.003], [6761, 0.005], [6762, 0.007], [7719, 0.003], + [7740, 0.003], [7803, 0.001], [7820, 0.001], [7824, 0.002], + [7843, 0.011], [7844, 0.006], [7845, 0.003], [7850, 0.002], + [7895, 0.002], [7922, 0.001], [14672, 0.031] + ], + "orbicularis03.L": [ + [6784, 0.937], [6785, 0.922], [6786, 0.888], [6787, 0.846], + [6788, 0.738], [6789, 0.684], [6790, 0.952], [6791, 0.856], + [6792, 0.699], [6793, 0.831], [6794, 0.827], [6795, 0.668], + [6796, 0.619], [6797, 0.656], [6798, 0.639], [6799, 0.52], + [6800, 0.596], [6801, 0.576], [6802, 0.357], [6803, 0.363], + [6804, 0.37], [6805, 0.259], [6806, 0.258], [6807, 0.228], + [6808, 0.276], [6809, 0.133], [6810, 0.147], [6812, 0.003], + [6813, 0.002], [6838, 0.833], [6839, 0.773], [6840, 0.644], + [6841, 0.603], [6842, 0.54], [6843, 0.415], [6844, 0.262], + [6845, 0.196], [6846, 0.152], [6847, 0.022], [6848, 0.012], + [6866, 0.391], [6867, 0.389], [6868, 0.299], [6869, 0.138], + [6870, 0.084], [6871, 0.004], [6873, 0.404], [6874, 0.387], + [6875, 0.37], [6876, 0.387], [6877, 0.345], [6878, 0.213], + [6879, 0.077], [6884, 0.049], [6885, 0.023], [6886, 0.13], + [6887, 0.02], [6892, 0.021], [6897, 0.011], [6922, 0.25], + [6923, 0.23], [6924, 0.183], [6925, 0.068], [6926, 0.034], + [6927, 0.004], [6929, 0.23], [6930, 0.245], [6931, 0.203], + [6932, 0.242], [6933, 0.197], [6934, 0.112], [6935, 0.046], + [6936, 0.091], [6937, 0.115], [6938, 0.135], [6942, 0.023], + [6946, 0.115], [6947, 0.123], [6948, 0.101], [6949, 0.119], + [6950, 0.098], [6951, 0.056], [6955, 0.028], [6961, 0.034], + [6962, 0.017], [6963, 0.002], [6982, 0.009], [7747, 0.513], + [7748, 0.524], [7749, 0.52], [7750, 0.454], [7751, 0.317], + [7752, 0.132], [7753, 0.072], [7754, 0.083], [7755, 0.085], + [7765, 0.461], [7766, 0.352], [7767, 0.115], [7768, 0.027], + [7769, 0.014], [7772, 0.074], [7773, 0.472], [7774, 0.535], + [7775, 0.503], [7776, 0.396], [7777, 0.311], [7778, 0.068], + [7779, 0.092], [7782, 0.034], [7783, 0.055], [7791, 0.488], + [7792, 0.544], [7793, 0.049], [7794, 0.028], [7795, 0.022], + [7796, 0.032], [7798, 0.057], [7803, 0.023], [7816, 0.005], + [7817, 0.005], [7820, 0.009], [7821, 0.009], [7822, 0.011], + [7824, 0.033], [8029, 0.007], [11465, 0.9], [11466, 0.924], + [11467, 0.907], [11468, 0.846], [11469, 0.67], [11470, 0.563], + [11471, 0.383], [11472, 0.297], [11473, 0.115], [11474, 0.004], + [11483, 0.821], [11484, 0.569], [11485, 0.225], [11486, 0.025], + [11490, 0.06], [11492, 0.314], [11493, 0.115], [11494, 0.535], + [11495, 0.532], [11496, 0.482], [11497, 0.334], [11498, 0.183], + [11499, 0.115], [11501, 0.003], [11509, 0.022], [11513, 0.495], + [11514, 0.571], [11515, 0.535], [11516, 0.516], [11718, 0.042], + [11740, 0.008], [13352, 0.724], [13353, 0.718], [13354, 0.245], + [13355, 0.449], [13356, 0.499], [13357, 0.668], [13358, 0.729], + [13359, 0.665], [13363, 0.149], [13364, 0.259], [13365, 0.106], + [13369, 0.429], [13371, 0.427], [13375, 0.053], [13376, 0.355], + [13377, 0.267], [14094, 1.0], [14095, 1.0], [14096, 1.0], + [14097, 1.0], [14098, 1.0], [14099, 1.0], [14100, 1.0], + [14101, 1.0], [14601, 0.008], [14613, 0.009], [14637, 0.02], + [14659, 0.04], [14660, 0.008], [14664, 0.026], [14669, 0.018], + [14742, 0.539], [14743, 0.681], [14744, 0.61], [14745, 0.429], + [14746, 0.353], [14747, 0.181], [14748, 0.182], [14749, 0.148], + [14750, 0.552], [14760, 0.611], [14761, 0.544], [14762, 0.52], + [14763, 0.149], [14764, 0.951], [14766, 0.259], [14768, 0.055], + [14769, 0.374], [14771, 0.832], [14772, 0.262], [14773, 0.659], + [14774, 1.0], [14775, 1.0], [14783, 0.038], [14784, 0.137], + [14785, 0.645], [14786, 0.757], [14787, 0.961], [14788, 1.0], + [14789, 1.0], [14790, 1.0], [14791, 1.0], [14794, 1.0], + [14795, 1.0], [14796, 1.0], [14797, 0.886], [14798, 1.0], + [14799, 1.0], [14800, 1.0], [14801, 1.0], [14802, 1.0], + [14803, 1.0], [14804, 1.0], [14805, 0.46], [14806, 0.885], + [14807, 0.739], [14808, 0.672], [14809, 1.0], [14810, 0.92], + [14811, 1.0], [14812, 1.0], [14813, 1.0], [14814, 1.0], + [14815, 1.0], [14816, 1.0], [14817, 1.0], [14819, 0.027], + [14828, 0.019], [14829, 0.068], [14842, 0.837], [14843, 0.931], + [14844, 1.0], [14845, 1.0], [14846, 1.0], [14847, 0.908], + [14848, 1.0], [14849, 1.0], [14850, 1.0], [14851, 1.0], + [14852, 0.741], [14853, 0.46], [14854, 1.0] + ], + "orbicularis03.R": [ + [0, 0.937], [1, 0.922], [2, 0.888], [3, 0.846], + [4, 0.738], [5, 0.684], [6, 0.952], [7, 0.856], + [8, 0.699], [9, 0.831], [10, 0.827], [11, 0.668], + [12, 0.619], [13, 0.656], [14, 0.639], [15, 0.52], + [16, 0.596], [17, 0.576], [18, 0.357], [19, 0.363], + [20, 0.37], [21, 0.259], [22, 0.258], [23, 0.228], + [24, 0.276], [25, 0.133], [26, 0.147], [28, 0.003], + [29, 0.002], [54, 0.833], [55, 0.773], [56, 0.644], + [57, 0.603], [58, 0.54], [59, 0.415], [60, 0.262], + [61, 0.196], [62, 0.152], [63, 0.022], [64, 0.012], + [82, 0.391], [83, 0.389], [84, 0.299], [85, 0.138], + [86, 0.084], [87, 0.004], [89, 0.404], [90, 0.387], + [91, 0.37], [92, 0.387], [93, 0.345], [94, 0.213], + [95, 0.077], [100, 0.049], [101, 0.023], [102, 0.13], + [103, 0.02], [108, 0.021], [113, 0.011], [144, 0.25], + [145, 0.23], [146, 0.183], [147, 0.068], [148, 0.034], + [149, 0.004], [151, 0.23], [152, 0.245], [153, 0.203], + [154, 0.242], [155, 0.197], [156, 0.112], [157, 0.046], + [158, 0.091], [159, 0.115], [160, 0.135], [165, 0.023], + [170, 0.115], [171, 0.123], [172, 0.101], [173, 0.119], + [174, 0.098], [175, 0.056], [179, 0.028], [185, 0.034], + [186, 0.017], [187, 0.002], [207, 0.009], [1055, 0.513], + [1056, 0.524], [1057, 0.52], [1058, 0.454], [1059, 0.317], + [1060, 0.132], [1061, 0.072], [1062, 0.083], [1063, 0.085], + [1073, 0.461], [1074, 0.352], [1075, 0.115], [1076, 0.027], + [1077, 0.014], [1080, 0.074], [1081, 0.472], [1082, 0.535], + [1083, 0.503], [1084, 0.396], [1085, 0.311], [1086, 0.068], + [1087, 0.092], [1090, 0.034], [1091, 0.055], [1099, 0.488], + [1100, 0.544], [1101, 0.049], [1102, 0.028], [1103, 0.022], + [1104, 0.032], [1106, 0.057], [1111, 0.023], [1124, 0.005], + [1125, 0.005], [1128, 0.009], [1129, 0.009], [1130, 0.011], + [1132, 0.033], [1337, 0.007], [4847, 0.9], [4848, 0.924], + [4849, 0.907], [4850, 0.846], [4851, 0.67], [4852, 0.563], + [4853, 0.383], [4854, 0.297], [4855, 0.115], [4856, 0.004], + [4865, 0.821], [4866, 0.569], [4867, 0.225], [4868, 0.025], + [4872, 0.06], [4874, 0.314], [4875, 0.115], [4876, 0.535], + [4877, 0.532], [4878, 0.482], [4879, 0.334], [4880, 0.183], + [4881, 0.115], [4883, 0.003], [4891, 0.022], [4895, 0.495], + [4896, 0.571], [4897, 0.535], [4898, 0.516], [5103, 0.042], + [5125, 0.008], [6756, 0.724], [6757, 0.718], [6758, 0.245], + [6759, 0.449], [6760, 0.499], [6761, 0.668], [6762, 0.729], + [6763, 0.665], [6767, 0.149], [6768, 0.259], [6769, 0.106], + [6773, 0.429], [6775, 0.427], [6779, 0.053], [6780, 0.355], + [6781, 0.267], [14526, 1.0], [14527, 1.0], [14528, 1.0], + [14529, 1.0], [14530, 1.0], [14531, 1.0], [14532, 1.0], + [14533, 1.0], [14673, 0.008], [14685, 0.009], [14709, 0.02], + [14731, 0.04], [14732, 0.008], [14736, 0.026], [14741, 0.018], + [14867, 0.539], [14868, 0.681], [14869, 0.61], [14870, 0.429], + [14871, 0.353], [14872, 0.181], [14873, 0.182], [14874, 0.148], + [14875, 0.552], [14885, 0.611], [14886, 0.544], [14887, 0.52], + [14888, 0.149], [14889, 0.951], [14891, 0.259], [14893, 0.055], + [14894, 0.374], [14896, 0.832], [14897, 0.262], [14898, 0.659], + [14899, 1.0], [14900, 1.0], [14908, 0.038], [14909, 0.137], + [14910, 0.645], [14911, 0.757], [14912, 0.961], [14913, 1.0], + [14914, 1.0], [14915, 1.0], [14916, 1.0], [14919, 1.0], + [14920, 1.0], [14921, 1.0], [14922, 0.886], [14923, 1.0], + [14924, 1.0], [14925, 1.0], [14926, 1.0], [14927, 1.0], + [14928, 1.0], [14929, 1.0], [14930, 0.46], [14931, 0.885], + [14932, 0.739], [14933, 0.672], [14934, 1.0], [14935, 0.92], + [14936, 1.0], [14937, 1.0], [14938, 1.0], [14939, 1.0], + [14940, 1.0], [14941, 1.0], [14942, 1.0], [14944, 0.027], + [14953, 0.019], [14954, 0.068], [14967, 0.837], [14968, 0.931], + [14969, 1.0], [14970, 1.0], [14971, 1.0], [14972, 0.908], + [14973, 1.0], [14974, 1.0], [14975, 1.0], [14976, 1.0], + [14977, 0.741], [14978, 0.46], [14979, 1.0] + ], + "orbicularis04.L": [ + [6799, 0.067], [6802, 0.18], [6803, 0.187], [6804, 0.144], + [6805, 0.248], [6806, 0.28], [6807, 0.263], [6808, 0.326], + [6809, 0.388], [6810, 0.355], [6811, 0.571], [6812, 0.587], + [6813, 0.525], [6814, 0.773], [6815, 0.774], [6816, 0.769], + [6817, 0.928], [6818, 0.937], [6819, 0.919], [6820, 0.981], + [6821, 0.961], [6822, 0.945], [6823, 0.942], [6824, 0.953], + [6825, 0.973], [6826, 0.926], [6827, 0.924], [6828, 0.901], + [6829, 0.86], [6830, 0.845], [6831, 0.838], [6832, 0.683], + [6833, 0.714], [6834, 0.74], [6835, 0.202], [6836, 0.258], + [6837, 0.353], [6851, 0.04], [6852, 0.067], [6853, 0.035], + [6854, 0.042], [6855, 0.046], [6856, 0.153], [6857, 0.104], + [6858, 0.046], [6859, 0.568], [6860, 0.611], [6861, 0.611], + [6862, 0.595], [6863, 0.554], [6864, 0.403], [6865, 0.054], + [6868, 0.034], [6869, 0.166], [6870, 0.273], [6871, 0.415], + [6872, 0.506], [6881, 0.033], [6882, 0.021], [6883, 0.019], + [6889, 0.014], [6890, 0.009], [6891, 0.008], [6894, 0.007], + [6895, 0.005], [6896, 0.004], [6915, 0.262], [6916, 0.318], + [6917, 0.32], [6918, 0.294], [6919, 0.264], [6920, 0.159], + [6921, 0.024], [6925, 0.117], [6926, 0.233], [6927, 0.344], + [6928, 0.299], [6959, 0.159], [6961, 0.082], [6962, 0.168], + [6963, 0.266], [6967, 0.16], [6969, 0.046], [6970, 0.102], + [6971, 0.189], [6990, 0.031], [6991, 0.066], [6992, 0.13], + [7025, 0.005], [7026, 0.011], [7027, 0.033], [7605, 0.131], + [7606, 0.149], [7751, 0.024], [7752, 0.073], [7753, 0.072], + [7754, 0.088], [7755, 0.108], [7756, 0.136], [7757, 0.305], + [7758, 0.392], [7759, 0.415], [7760, 0.41], [7761, 0.382], + [7762, 0.354], [7763, 0.312], [7764, 0.157], [7770, 0.034], + [7771, 0.079], [7777, 0.024], [7778, 0.049], [7782, 0.064], + [7783, 0.112], [7784, 0.117], [7785, 0.14], [7787, 0.151], + [7788, 0.138], [7790, 0.07], [7797, 0.045], [7806, 0.023], + [7813, 0.004], [7816, 0.02], [7821, 0.011], [7822, 0.015], + [7823, 0.046], [7836, 0.011], [7837, 0.023], [7848, 0.012], + [7937, 0.009], [11470, 0.03], [11471, 0.142], [11472, 0.203], + [11473, 0.489], [11474, 0.637], [11475, 0.781], [11476, 0.924], + [11477, 0.975], [11478, 0.965], [11479, 0.914], [11480, 0.834], + [11481, 0.724], [11482, 0.294], [11487, 0.018], [11488, 0.025], + [11489, 0.127], [11491, 0.032], [11497, 0.089], [11498, 0.215], + [11499, 0.314], [11500, 0.638], [11501, 0.47], [11502, 0.776], + [11503, 0.778], [11504, 0.76], [11505, 0.707], [11506, 0.104], + [11507, 0.507], [11508, 0.744], [11510, 0.034], [11512, 0.05], + [11691, 0.647], [11692, 0.669], [11693, 0.719], [11694, 0.437], + [11695, 0.547], [11696, 0.372], [11697, 0.156], [11698, 0.508], + [11699, 0.064], [11700, 0.382], [11702, 0.101], [11704, 0.065], + [11706, 0.011], [11714, 0.242], [11716, 0.244], [11717, 0.232], + [11718, 0.095], [11719, 0.092], [11721, 0.001], [11742, 0.729], + [11743, 0.474], [11744, 0.577], [11745, 0.235], [11747, 0.032], + [11820, 0.132], [11829, 0.147], [11855, 0.012], [11856, 0.079], + [13354, 0.087], [13355, 0.086], [13356, 0.055], [13360, 0.093], + [13361, 0.261], [13362, 0.38], [13366, 0.625], [13367, 0.577], + [13368, 0.66], [13370, 0.606], [13372, 0.654], [13373, 0.744], + [13374, 0.715], [13375, 0.381], [13376, 0.107], [13377, 0.159], + [13378, 0.475], [13379, 0.553], [14078, 1.0], [14079, 1.0], + [14080, 1.0], [14081, 1.0], [14082, 1.0], [14083, 1.0], + [14084, 1.0], [14085, 1.0], [14747, 0.051], [14748, 0.193], + [14749, 0.189], [14751, 0.327], [14752, 0.658], [14753, 0.972], + [14754, 0.987], [14755, 0.983], [14756, 0.946], [14757, 0.874], + [14758, 0.444], [14759, 0.38], [14765, 0.315], [14767, 0.561], + [14768, 0.945], [14770, 0.351], [14776, 0.457], [14777, 0.729], + [14778, 0.85], [14779, 0.925], [14780, 0.983], [14781, 1.0], + [14782, 1.0], [14783, 0.962], [14784, 0.863], [14786, 0.243], + [14787, 0.039], [14792, 0.48], [14793, 0.375], [14797, 0.114], + [14810, 0.08], [14818, 0.581], [14819, 0.973], [14820, 0.387], + [14821, 0.484], [14822, 0.685], [14823, 0.812], [14824, 0.944], + [14825, 0.972], [14826, 1.0], [14827, 1.0], [14828, 0.981], + [14829, 0.932], [14830, 0.6], [14831, 1.0], [14832, 0.423], + [14833, 0.512], [14834, 0.637], [14835, 0.775], [14836, 0.887], + [14837, 0.944], [14838, 1.0], [14839, 1.0], [14840, 1.0], + [14841, 1.0], [14847, 0.092], [14855, 0.6], [14856, 0.637], + [14857, 0.887], [14858, 0.775], [14859, 0.944], [14860, 0.512], + [14861, 0.423], [14862, 1.0], [14863, 1.0], [14864, 1.0], + [14865, 1.0], [14866, 1.0] + ], + "orbicularis04.R": [ + [15, 0.067], [18, 0.18], [19, 0.187], [20, 0.144], + [21, 0.248], [22, 0.28], [23, 0.263], [24, 0.326], + [25, 0.388], [26, 0.355], [27, 0.571], [28, 0.587], + [29, 0.525], [30, 0.773], [31, 0.774], [32, 0.769], + [33, 0.928], [34, 0.937], [35, 0.919], [36, 0.981], + [37, 0.961], [38, 0.945], [39, 0.942], [40, 0.953], + [41, 0.973], [42, 0.926], [43, 0.924], [44, 0.901], + [45, 0.86], [46, 0.845], [47, 0.838], [48, 0.683], + [49, 0.714], [50, 0.74], [51, 0.202], [52, 0.258], + [53, 0.353], [67, 0.04], [68, 0.067], [69, 0.035], + [70, 0.042], [71, 0.046], [72, 0.153], [73, 0.104], + [74, 0.046], [75, 0.568], [76, 0.611], [77, 0.611], + [78, 0.595], [79, 0.554], [80, 0.403], [81, 0.054], + [84, 0.034], [85, 0.166], [86, 0.273], [87, 0.415], + [88, 0.506], [97, 0.033], [98, 0.021], [99, 0.019], + [105, 0.014], [106, 0.009], [107, 0.008], [110, 0.007], + [111, 0.005], [112, 0.004], [137, 0.262], [138, 0.318], + [139, 0.32], [140, 0.294], [141, 0.264], [142, 0.159], + [143, 0.024], [147, 0.117], [148, 0.233], [149, 0.344], + [150, 0.299], [183, 0.159], [185, 0.082], [186, 0.168], + [187, 0.266], [191, 0.16], [193, 0.046], [194, 0.102], + [195, 0.189], [215, 0.031], [216, 0.066], [217, 0.13], + [256, 0.005], [257, 0.011], [258, 0.033], [903, 0.131], + [904, 0.149], [1059, 0.024], [1060, 0.073], [1061, 0.072], + [1062, 0.088], [1063, 0.108], [1064, 0.136], [1065, 0.305], + [1066, 0.392], [1067, 0.415], [1068, 0.41], [1069, 0.382], + [1070, 0.354], [1071, 0.312], [1072, 0.157], [1078, 0.034], + [1079, 0.079], [1085, 0.024], [1086, 0.049], [1090, 0.064], + [1091, 0.112], [1092, 0.117], [1093, 0.14], [1095, 0.151], + [1096, 0.138], [1098, 0.07], [1105, 0.045], [1114, 0.023], + [1121, 0.004], [1124, 0.02], [1129, 0.011], [1130, 0.015], + [1131, 0.046], [1144, 0.011], [1145, 0.023], [1156, 0.012], + [1245, 0.009], [4852, 0.03], [4853, 0.142], [4854, 0.203], + [4855, 0.489], [4856, 0.637], [4857, 0.781], [4858, 0.924], + [4859, 0.975], [4860, 0.965], [4861, 0.914], [4862, 0.834], + [4863, 0.724], [4864, 0.294], [4869, 0.018], [4870, 0.025], + [4871, 0.127], [4873, 0.032], [4879, 0.089], [4880, 0.215], + [4881, 0.314], [4882, 0.638], [4883, 0.47], [4884, 0.776], + [4885, 0.778], [4886, 0.76], [4887, 0.707], [4888, 0.104], + [4889, 0.507], [4890, 0.744], [4892, 0.034], [4894, 0.05], + [5076, 0.647], [5077, 0.669], [5078, 0.719], [5079, 0.437], + [5080, 0.547], [5081, 0.372], [5082, 0.156], [5083, 0.508], + [5084, 0.064], [5085, 0.382], [5087, 0.101], [5089, 0.065], + [5091, 0.011], [5099, 0.242], [5101, 0.244], [5102, 0.232], + [5103, 0.095], [5104, 0.092], [5106, 0.001], [5127, 0.729], + [5128, 0.474], [5129, 0.577], [5130, 0.235], [5132, 0.032], + [5209, 0.132], [5219, 0.147], [5247, 0.012], [5248, 0.079], + [6758, 0.087], [6759, 0.086], [6760, 0.055], [6764, 0.093], + [6765, 0.261], [6766, 0.38], [6770, 0.625], [6771, 0.577], + [6772, 0.66], [6774, 0.606], [6776, 0.654], [6777, 0.744], + [6778, 0.715], [6779, 0.381], [6780, 0.107], [6781, 0.159], + [6782, 0.475], [6783, 0.553], [14510, 1.0], [14511, 1.0], + [14512, 1.0], [14513, 1.0], [14514, 1.0], [14515, 1.0], + [14516, 1.0], [14517, 1.0], [14872, 0.051], [14873, 0.193], + [14874, 0.189], [14876, 0.327], [14877, 0.658], [14878, 0.972], + [14879, 0.987], [14880, 0.983], [14881, 0.946], [14882, 0.874], + [14883, 0.444], [14884, 0.38], [14890, 0.315], [14892, 0.561], + [14893, 0.945], [14895, 0.351], [14901, 0.457], [14902, 0.729], + [14903, 0.85], [14904, 0.925], [14905, 0.983], [14906, 1.0], + [14907, 1.0], [14908, 0.962], [14909, 0.863], [14911, 0.243], + [14912, 0.039], [14917, 0.48], [14918, 0.375], [14922, 0.114], + [14935, 0.08], [14943, 0.581], [14944, 0.973], [14945, 0.387], + [14946, 0.484], [14947, 0.685], [14948, 0.812], [14949, 0.944], + [14950, 0.972], [14951, 1.0], [14952, 1.0], [14953, 0.981], + [14954, 0.932], [14955, 0.6], [14956, 1.0], [14957, 0.423], + [14958, 0.512], [14959, 0.637], [14960, 0.775], [14961, 0.887], + [14962, 0.944], [14963, 1.0], [14964, 1.0], [14965, 1.0], + [14966, 1.0], [14972, 0.092], [14980, 0.6], [14981, 0.637], + [14982, 0.887], [14983, 0.775], [14984, 0.944], [14985, 0.512], + [14986, 0.423], [14987, 1.0], [14988, 1.0], [14989, 1.0], + [14990, 1.0], [14991, 1.0] + ], + "oris01": [ + [361, 0.015], [370, 0.287], [371, 0.192], [373, 0.097], + [380, 0.01], [399, 0.04], [400, 0.072], [401, 0.137], + [403, 0.017], [404, 0.111], [405, 0.216], [406, 0.321], + [423, 0.019], [426, 0.019], [429, 0.023], [432, 0.025], + [435, 0.026], [437, 0.271], [438, 0.261], [439, 0.242], + [440, 0.23], [441, 0.118], [442, 0.124], [443, 0.14], + [444, 0.147], [445, 0.148], [446, 0.271], [475, 0.394], + [476, 0.382], [477, 0.36], [478, 0.341], [479, 0.239], + [480, 0.463], [481, 0.557], [482, 0.545], [483, 0.519], + [484, 0.492], [485, 0.386], [486, 0.635], [487, 0.723], + [488, 0.724], [489, 0.706], [490, 0.67], [491, 0.386], + [492, 0.635], [493, 0.723], [494, 0.724], [495, 0.706], + [496, 0.67], [501, 0.021], [502, 0.25], [503, 0.13], + [510, 0.369], [511, 0.531], [512, 0.721], [513, 0.721], + [517, 0.702], [518, 0.555], [519, 0.392], [523, 0.702], + [527, 0.027], [529, 0.146], [530, 0.269], [534, 0.698], + [535, 0.547], [536, 0.387], [540, 0.698], [544, 0.024], + [546, 0.142], [547, 0.242], [551, 0.571], [552, 0.479], + [553, 0.342], [557, 0.572], [561, 0.021], [563, 0.138], + [564, 0.213], [568, 0.466], [569, 0.393], [570, 0.288], + [574, 0.459], [578, 0.017], [580, 0.127], [581, 0.168], + [585, 0.338], [586, 0.282], [587, 0.209], [591, 0.338], + [595, 0.008], [597, 0.063], [598, 0.084], [602, 0.169], + [603, 0.141], [604, 0.104], [608, 0.169], [612, 0.004], + [614, 0.032], [615, 0.042], [619, 0.085], [620, 0.071], + [621, 0.052], [625, 0.084], [629, 0.002], [631, 0.016], + [632, 0.021], [636, 0.042], [637, 0.035], [638, 0.026], + [642, 0.042], [646, 0.001], [648, 0.008], [649, 0.01], + [653, 0.021], [654, 0.022], [655, 0.013], [659, 0.021], + [712, 0.003], [721, 0.101], [722, 0.19], [723, 0.313], + [724, 0.315], [725, 0.009], [728, 0.073], [729, 0.024], + [730, 0.038], [731, 0.122], [733, 0.124], [734, 0.043], + [897, 0.011], [898, 0.018], [3699, 0.007], [3700, 0.015], + [3701, 0.022], [3702, 0.064], [3703, 0.068], [3704, 0.072], + [3705, 0.076], [3706, 0.082], [3707, 0.086], [3708, 0.088], + [3709, 0.088], [3710, 0.083], [3711, 0.078], [3712, 0.067], + [3713, 0.034], [3714, 0.017], [3715, 0.008], [3716, 0.004], + [5142, 0.006], [5157, 0.022], [5158, 0.016], [5159, 0.013], + [5160, 0.005], [5161, 0.003], [5162, 0.023], [5163, 0.002], + [5335, 0.417], [5336, 0.58], [5337, 0.58], [5338, 0.057], + [7122, 0.015], [7130, 0.287], [7131, 0.192], [7133, 0.097], + [7140, 0.01], [7159, 0.04], [7160, 0.072], [7161, 0.137], + [7163, 0.017], [7164, 0.111], [7165, 0.216], [7166, 0.321], + [7183, 0.019], [7186, 0.019], [7189, 0.023], [7192, 0.025], + [7195, 0.026], [7197, 0.271], [7198, 0.261], [7199, 0.242], + [7200, 0.23], [7201, 0.118], [7202, 0.124], [7203, 0.14], + [7204, 0.147], [7205, 0.148], [7206, 0.271], [7230, 0.394], + [7231, 0.382], [7232, 0.36], [7233, 0.341], [7234, 0.239], + [7235, 0.463], [7236, 0.557], [7237, 0.545], [7238, 0.519], + [7239, 0.492], [7240, 0.386], [7241, 0.635], [7242, 0.723], + [7243, 0.724], [7244, 0.706], [7245, 0.67], [7250, 0.021], + [7251, 0.25], [7252, 0.13], [7258, 0.369], [7259, 0.531], + [7260, 0.721], [7264, 0.702], [7265, 0.555], [7266, 0.392], + [7272, 0.027], [7274, 0.146], [7275, 0.269], [7279, 0.698], + [7280, 0.547], [7281, 0.387], [7287, 0.024], [7289, 0.142], + [7290, 0.242], [7294, 0.571], [7295, 0.479], [7296, 0.342], + [7302, 0.021], [7304, 0.138], [7305, 0.213], [7309, 0.466], + [7310, 0.393], [7311, 0.288], [7317, 0.017], [7319, 0.127], + [7320, 0.168], [7324, 0.338], [7325, 0.282], [7326, 0.209], + [7332, 0.008], [7334, 0.063], [7335, 0.084], [7339, 0.169], + [7340, 0.141], [7341, 0.104], [7347, 0.004], [7349, 0.032], + [7350, 0.042], [7354, 0.085], [7355, 0.071], [7356, 0.052], + [7362, 0.002], [7364, 0.016], [7365, 0.021], [7369, 0.042], + [7370, 0.035], [7371, 0.026], [7377, 0.001], [7379, 0.008], + [7380, 0.01], [7384, 0.021], [7385, 0.022], [7386, 0.013], + [7435, 0.003], [7444, 0.101], [7445, 0.19], [7446, 0.313], + [7447, 0.009], [7450, 0.073], [7451, 0.024], [7452, 0.038], + [7453, 0.122], [7454, 0.043], [7599, 0.011], [7600, 0.018], + [10367, 0.007], [10368, 0.015], [10369, 0.022], [10370, 0.064], + [10371, 0.068], [10372, 0.072], [10373, 0.076], [10374, 0.082], + [10375, 0.086], [10376, 0.088], [10377, 0.088], [10378, 0.083], + [10379, 0.078], [10380, 0.067], [10381, 0.034], [10382, 0.017], + [10383, 0.008], [10384, 0.004], [11756, 0.006], [11771, 0.022], + [11772, 0.016], [11773, 0.013], [11774, 0.005], [11775, 0.003], + [11776, 0.002], [11939, 0.417], [11940, 0.58], [11941, 0.057], + [13390, 0.018] + ], + "oris03.L": [ + [317, 0.02], [343, 0.03], [362, 0.072], [455, 0.078], + [466, 0.085], [467, 0.104], [468, 0.122], [474, 0.118], + [509, 0.115], [520, 0.11], [537, 0.101], [554, 0.094], + [571, 0.087], [588, 0.065], [605, 0.038], [606, 0.003], + [622, 0.019], [623, 0.002], [639, 0.009], [656, 0.005], + [5072, 0.131], [5342, 0.162], [7054, 0.087], [7055, 0.062], + [7057, 0.027], [7073, 0.05], [7076, 0.051], [7077, 0.158], + [7078, 0.06], [7079, 0.039], [7080, 0.062], [7082, 0.032], + [7093, 0.026], [7094, 0.045], [7095, 0.083], [7096, 0.043], + [7099, 0.04], [7103, 0.194], [7104, 0.121], [7116, 0.473], + [7117, 0.26], [7118, 0.144], [7119, 0.142], [7120, 0.276], + [7121, 0.263], [7122, 0.137], [7123, 0.502], [7128, 0.39], + [7129, 0.202], [7130, 0.006], [7131, 0.027], [7132, 0.448], + [7133, 0.047], [7134, 0.579], [7135, 0.617], [7136, 0.365], + [7137, 0.463], [7138, 0.376], [7139, 0.178], [7140, 0.115], + [7159, 0.024], [7160, 0.009], [7161, 0.002], [7162, 0.232], + [7163, 0.158], [7164, 0.054], [7165, 0.031], [7166, 0.007], + [7167, 0.426], [7168, 0.525], [7169, 0.68], [7170, 0.709], + [7171, 0.627], [7172, 0.558], [7173, 0.668], [7174, 0.561], + [7175, 0.668], [7176, 0.583], [7177, 0.678], [7178, 0.605], + [7179, 0.687], [7180, 0.623], [7181, 0.682], [7182, 0.244], + [7183, 0.167], [7184, 0.451], [7185, 0.248], [7186, 0.169], + [7187, 0.456], [7188, 0.279], [7189, 0.196], [7190, 0.49], + [7191, 0.325], [7192, 0.233], [7193, 0.525], [7194, 0.39], + [7195, 0.287], [7196, 0.565], [7197, 0.055], [7198, 0.043], + [7199, 0.034], [7200, 0.033], [7201, 0.058], [7202, 0.06], + [7203, 0.074], [7204, 0.093], [7205, 0.122], [7206, 0.073], + [7207, 0.755], [7208, 0.759], [7209, 0.754], [7210, 0.192], + [7211, 0.763], [7212, 0.724], [7213, 0.699], [7214, 0.156], + [7215, 0.443], [7216, 0.514], [7217, 0.519], [7218, 0.538], + [7219, 0.213], [7220, 0.288], [7221, 0.382], [7222, 0.171], + [7223, 0.209], [7224, 0.244], [7225, 0.747], [7226, 0.684], + [7227, 0.535], [7228, 0.378], [7229, 0.236], [7230, 0.018], + [7231, 0.013], [7232, 0.009], [7233, 0.008], [7246, 0.675], + [7247, 0.573], [7248, 0.473], [7249, 0.248], [7250, 0.172], + [7251, 0.036], [7252, 0.062], [7253, 0.759], [7254, 0.713], + [7255, 0.542], [7256, 0.352], [7257, 0.229], [7258, 0.01], + [7261, 0.495], [7262, 0.664], [7263, 0.723], [7266, 0.026], + [7267, 0.22], [7268, 0.364], [7269, 0.656], [7270, 0.691], + [7271, 0.453], [7272, 0.348], [7273, 0.621], [7274, 0.154], + [7275, 0.095], [7276, 0.479], [7277, 0.663], [7278, 0.716], + [7281, 0.034], [7282, 0.202], [7283, 0.337], [7284, 0.627], + [7285, 0.656], [7286, 0.438], [7287, 0.335], [7288, 0.619], + [7289, 0.139], [7290, 0.084], [7291, 0.49], [7292, 0.637], + [7293, 0.675], [7296, 0.03], [7297, 0.189], [7298, 0.311], + [7299, 0.599], [7300, 0.622], [7301, 0.424], [7302, 0.321], + [7303, 0.617], [7304, 0.125], [7305, 0.075], [7306, 0.5], + [7307, 0.611], [7308, 0.635], [7311, 0.026], [7312, 0.175], + [7313, 0.286], [7314, 0.478], [7315, 0.497], [7316, 0.363], + [7317, 0.272], [7318, 0.541], [7319, 0.091], [7320, 0.055], + [7321, 0.424], [7322, 0.506], [7323, 0.51], [7326, 0.019], + [7327, 0.129], [7328, 0.224], [7329, 0.241], [7330, 0.249], + [7331, 0.184], [7332, 0.138], [7333, 0.273], [7334, 0.045], + [7335, 0.027], [7336, 0.215], [7337, 0.255], [7338, 0.255], + [7341, 0.009], [7342, 0.073], [7343, 0.117], [7344, 0.12], + [7345, 0.124], [7346, 0.092], [7347, 0.069], [7348, 0.137], + [7349, 0.023], [7350, 0.014], [7351, 0.108], [7352, 0.127], + [7353, 0.128], [7356, 0.005], [7357, 0.036], [7358, 0.059], + [7359, 0.06], [7360, 0.062], [7361, 0.046], [7362, 0.034], + [7363, 0.068], [7364, 0.011], [7365, 0.007], [7366, 0.054], + [7367, 0.064], [7368, 0.064], [7371, 0.002], [7372, 0.018], + [7373, 0.03], [7374, 0.03], [7375, 0.031], [7376, 0.023], + [7377, 0.017], [7378, 0.034], [7379, 0.006], [7380, 0.003], + [7381, 0.027], [7382, 0.032], [7383, 0.032], [7386, 0.001], + [7387, 0.009], [7388, 0.015], [7434, 0.29], [7435, 0.114], + [7447, 0.071], [7451, 0.002], [7602, 0.146], [10367, 0.031], + [10368, 0.038], [10369, 0.059], [10370, 0.106], [10371, 0.112], + [10372, 0.115], [10373, 0.116], [10374, 0.134], [10375, 0.162], + [10376, 0.202], [10377, 0.249], [10378, 0.232], [10379, 0.215], + [10380, 0.167], [10381, 0.084], [10382, 0.042], [10383, 0.021], + [10384, 0.01], [10391, 0.029], [10392, 0.057], [10393, 0.115], + [10394, 0.229], [10395, 0.452], [10396, 0.521], [10397, 0.53], + [10398, 0.539], [10399, 0.482], [10400, 0.429], [10401, 0.388], + [10402, 0.364], [10403, 0.352], [10404, 0.348], [10405, 0.329], + [10406, 0.279], [10407, 0.215], [11669, 0.014], [11673, 0.006], + [11683, 0.028], [11684, 0.083], [11687, 0.222], [11688, 0.504], + [11689, 0.358], [11690, 0.136], [11749, 0.483], [11750, 0.154], + [11751, 0.342], [11752, 0.397], [11753, 0.022], [11754, 0.059], + [11755, 0.083], [11756, 0.044], [11757, 0.094], [11758, 0.152], + [11759, 0.205], [11760, 0.045], [11761, 0.013], [11762, 0.043], + [11763, 0.106], [11769, 0.082], [11770, 0.049], [11776, 0.015], + [11777, 0.03], [11782, 0.008], [11783, 0.004], [11785, 0.021], + [11786, 0.012], [11818, 0.025], [11822, 0.015], [11826, 0.008], + [11828, 0.044], [11866, 0.267], [11892, 0.038], [11894, 0.03], + [11925, 0.169], [11926, 0.099], [11934, 0.32], [11936, 0.045], + [11938, 0.697], [11941, 0.092], [11942, 0.298], [11943, 0.711], + [11944, 0.637], [11945, 0.324], [11946, 0.524], [11947, 0.644], + [11948, 0.759], [11949, 0.274], [11950, 0.547], [11951, 0.654], + [11952, 0.692], [11953, 0.805], [11954, 0.829], [11955, 0.801], + [11956, 0.773], [11958, 0.034], [11959, 0.069], [11960, 0.137], + [11961, 0.729], [11962, 0.75], [11963, 0.82], [11964, 0.778], + [11965, 0.72], [11966, 0.776], [13554, 0.019] + ], + "oris03.R": [ + [285, 0.087], [286, 0.062], [288, 0.027], [309, 0.05], + [313, 0.051], [314, 0.158], [315, 0.06], [316, 0.039], + [317, 0.02], [318, 0.062], [320, 0.032], [331, 0.026], + [332, 0.045], [333, 0.083], [334, 0.043], [337, 0.04], + [341, 0.194], [342, 0.121], [343, 0.03], [355, 0.473], + [356, 0.26], [357, 0.144], [358, 0.142], [359, 0.276], + [360, 0.263], [361, 0.137], [362, 0.072], [363, 0.502], + [368, 0.39], [369, 0.202], [370, 0.006], [371, 0.027], + [372, 0.448], [373, 0.047], [374, 0.579], [375, 0.617], + [376, 0.365], [377, 0.463], [378, 0.376], [379, 0.178], + [380, 0.115], [399, 0.024], [400, 0.009], [401, 0.002], + [402, 0.232], [403, 0.158], [404, 0.054], [405, 0.031], + [406, 0.007], [407, 0.426], [408, 0.525], [409, 0.68], + [410, 0.709], [411, 0.627], [412, 0.558], [413, 0.668], + [414, 0.561], [415, 0.668], [416, 0.583], [417, 0.678], + [418, 0.605], [419, 0.687], [420, 0.623], [421, 0.682], + [422, 0.244], [423, 0.167], [424, 0.451], [425, 0.248], + [426, 0.169], [427, 0.456], [428, 0.279], [429, 0.196], + [430, 0.49], [431, 0.325], [432, 0.233], [433, 0.525], + [434, 0.39], [435, 0.287], [436, 0.565], [437, 0.055], + [438, 0.043], [439, 0.034], [440, 0.033], [441, 0.058], + [442, 0.06], [443, 0.074], [444, 0.093], [445, 0.122], + [446, 0.073], [447, 0.755], [448, 0.759], [449, 0.754], + [450, 0.192], [451, 0.763], [452, 0.724], [453, 0.699], + [454, 0.156], [455, 0.078], [456, 0.443], [457, 0.514], + [458, 0.519], [459, 0.538], [460, 0.213], [461, 0.288], + [462, 0.382], [463, 0.171], [464, 0.209], [465, 0.244], + [466, 0.085], [467, 0.104], [468, 0.122], [469, 0.747], + [470, 0.684], [471, 0.535], [472, 0.378], [473, 0.236], + [474, 0.118], [475, 0.018], [476, 0.013], [477, 0.009], + [478, 0.008], [497, 0.675], [498, 0.573], [499, 0.473], + [500, 0.248], [501, 0.172], [502, 0.036], [503, 0.062], + [504, 0.759], [505, 0.713], [506, 0.542], [507, 0.352], + [508, 0.229], [509, 0.115], [510, 0.01], [514, 0.495], + [515, 0.664], [516, 0.723], [519, 0.026], [520, 0.11], + [521, 0.22], [522, 0.364], [524, 0.656], [525, 0.691], + [526, 0.453], [527, 0.348], [528, 0.621], [529, 0.154], + [530, 0.095], [531, 0.479], [532, 0.663], [533, 0.716], + [536, 0.034], [537, 0.101], [538, 0.202], [539, 0.337], + [541, 0.627], [542, 0.656], [543, 0.438], [544, 0.335], + [545, 0.619], [546, 0.139], [547, 0.084], [548, 0.49], + [549, 0.637], [550, 0.675], [553, 0.03], [554, 0.094], + [555, 0.189], [556, 0.311], [558, 0.599], [559, 0.622], + [560, 0.424], [561, 0.321], [562, 0.617], [563, 0.125], + [564, 0.075], [565, 0.5], [566, 0.611], [567, 0.635], + [570, 0.026], [571, 0.087], [572, 0.175], [573, 0.286], + [575, 0.478], [576, 0.497], [577, 0.363], [578, 0.272], + [579, 0.541], [580, 0.091], [581, 0.055], [582, 0.424], + [583, 0.506], [584, 0.51], [587, 0.019], [588, 0.065], + [589, 0.129], [590, 0.224], [592, 0.241], [593, 0.249], + [594, 0.184], [595, 0.138], [596, 0.273], [597, 0.045], + [598, 0.027], [599, 0.215], [600, 0.255], [601, 0.255], + [604, 0.009], [605, 0.038], [606, 0.073], [607, 0.117], + [609, 0.12], [610, 0.124], [611, 0.092], [612, 0.069], + [613, 0.137], [614, 0.023], [615, 0.014], [616, 0.108], + [617, 0.127], [618, 0.128], [621, 0.005], [622, 0.019], + [623, 0.036], [624, 0.059], [626, 0.06], [627, 0.062], + [628, 0.046], [629, 0.034], [630, 0.068], [631, 0.011], + [632, 0.007], [633, 0.054], [634, 0.064], [635, 0.064], + [638, 0.002], [639, 0.009], [640, 0.018], [641, 0.03], + [643, 0.03], [644, 0.031], [645, 0.023], [646, 0.017], + [647, 0.034], [648, 0.006], [649, 0.003], [650, 0.027], + [651, 0.032], [652, 0.032], [655, 0.001], [656, 0.005], + [657, 0.009], [658, 0.015], [711, 0.29], [712, 0.114], + [725, 0.071], [729, 0.002], [900, 0.146], [3699, 0.031], + [3700, 0.038], [3701, 0.059], [3702, 0.106], [3703, 0.112], + [3704, 0.115], [3705, 0.116], [3706, 0.134], [3707, 0.162], + [3708, 0.202], [3709, 0.249], [3710, 0.232], [3711, 0.215], + [3712, 0.167], [3713, 0.084], [3714, 0.042], [3715, 0.021], + [3716, 0.01], [3723, 0.029], [3724, 0.057], [3725, 0.115], + [3726, 0.229], [3727, 0.452], [3728, 0.521], [3729, 0.53], + [3730, 0.539], [3731, 0.482], [3732, 0.429], [3733, 0.388], + [3734, 0.364], [3735, 0.352], [3736, 0.348], [3737, 0.329], + [3738, 0.279], [3739, 0.215], [5051, 0.014], [5056, 0.006], + [5067, 0.028], [5068, 0.083], [5071, 0.222], [5072, 0.131], + [5073, 0.504], [5074, 0.358], [5075, 0.136], [5135, 0.483], + [5136, 0.154], [5137, 0.342], [5138, 0.397], [5139, 0.022], + [5140, 0.059], [5141, 0.083], [5142, 0.044], [5143, 0.094], + [5144, 0.152], [5145, 0.205], [5146, 0.045], [5147, 0.013], + [5148, 0.043], [5149, 0.106], [5155, 0.082], [5156, 0.049], + [5163, 0.015], [5164, 0.03], [5169, 0.008], [5170, 0.004], + [5173, 0.021], [5174, 0.012], [5207, 0.025], [5212, 0.015], + [5216, 0.008], [5218, 0.044], [5258, 0.267], [5286, 0.038], + [5288, 0.03], [5321, 0.169], [5322, 0.099], [5330, 0.32], + [5332, 0.045], [5334, 0.697], [5338, 0.092], [5339, 0.298], + [5340, 0.711], [5341, 0.637], [5342, 0.162], [5343, 0.324], + [5344, 0.524], [5345, 0.644], [5346, 0.759], [5347, 0.274], + [5348, 0.547], [5349, 0.654], [5350, 0.692], [5351, 0.805], + [5352, 0.829], [5353, 0.801], [5354, 0.773], [5356, 0.034], + [5357, 0.069], [5358, 0.137], [5359, 0.729], [5360, 0.75], + [5361, 0.82], [5362, 0.778], [5363, 0.72], [5364, 0.776], + [7342, 0.003], [7357, 0.002], [13454, 0.019] + ], + "oris05": [ + [299, 0.005], [304, 0.013], [305, 0.026], [306, 0.035], + [307, 0.034], [309, 0.031], [310, 0.052], [311, 0.077], + [312, 0.074], [314, 0.078], [315, 0.097], [316, 0.141], + [317, 0.14], [341, 0.194], [342, 0.295], [343, 0.306], + [355, 0.516], [356, 0.74], [357, 0.856], [358, 0.01], + [359, 0.071], [360, 0.037], [361, 0.004], [362, 0.856], + [363, 0.041], [368, 0.017], [369, 0.007], [372, 0.019], + [374, 0.025], [375, 0.06], [376, 0.009], [377, 0.013], + [378, 0.011], [379, 0.004], [380, 0.002], [402, 0.009], + [403, 0.004], [407, 0.018], [408, 0.045], [409, 0.292], + [410, 0.096], [411, 0.065], [412, 0.044], [413, 0.065], + [414, 0.041], [415, 0.061], [416, 0.05], [417, 0.075], + [418, 0.057], [419, 0.086], [420, 0.064], [421, 0.098], + [422, 0.009], [423, 0.005], [424, 0.019], [425, 0.008], + [426, 0.005], [427, 0.018], [428, 0.006], [429, 0.005], + [430, 0.022], [431, 0.008], [432, 0.006], [433, 0.025], + [434, 0.01], [435, 0.007], [436, 0.029], [441, 0.001], + [442, 0.001], [443, 0.001], [444, 0.002], [445, 0.002], + [447, 0.095], [448, 0.09], [449, 0.111], [450, 0.808], + [451, 0.209], [452, 0.248], [453, 0.273], [454, 0.844], + [455, 0.844], [456, 0.544], [457, 0.473], [458, 0.467], + [459, 0.448], [460, 0.787], [461, 0.712], [462, 0.618], + [463, 0.829], [464, 0.791], [465, 0.756], [466, 0.829], + [467, 0.791], [468, 0.756], [469, 0.127], [470, 0.289], + [471, 0.452], [472, 0.617], [473, 0.752], [474, 0.752], + [497, 0.066], [498, 0.045], [499, 0.02], [500, 0.004], + [501, 0.004], [503, 0.001], [504, 0.098], [505, 0.256], + [506, 0.443], [507, 0.648], [508, 0.771], [509, 0.771], + [514, 0.489], [515, 0.303], [516, 0.145], [520, 0.774], + [521, 0.774], [522, 0.633], [524, 0.073], [525, 0.113], + [526, 0.01], [527, 0.005], [528, 0.034], [529, 0.001], + [531, 0.508], [532, 0.306], [533, 0.167], [537, 0.795], + [538, 0.795], [539, 0.662], [541, 0.063], [542, 0.097], + [543, 0.009], [544, 0.004], [545, 0.031], [546, 0.001], + [548, 0.422], [549, 0.262], [550, 0.143], [554, 0.762], + [555, 0.763], [556, 0.633], [558, 0.053], [559, 0.081], + [560, 0.008], [561, 0.004], [562, 0.027], [565, 0.345], + [566, 0.218], [567, 0.12], [571, 0.729], [572, 0.729], + [573, 0.603], [575, 0.037], [576, 0.058], [577, 0.006], + [578, 0.003], [579, 0.022], [582, 0.289], [583, 0.173], + [584, 0.088], [588, 0.68], [589, 0.68], [590, 0.555], + [592, 0.019], [593, 0.029], [596, 0.011], [599, 0.145], + [600, 0.086], [601, 0.044], [605, 0.336], [606, 0.338], + [607, 0.276], [609, 0.009], [610, 0.014], [613, 0.005], + [616, 0.072], [617, 0.043], [618, 0.022], [622, 0.169], + [623, 0.169], [624, 0.139], [626, 0.005], [627, 0.007], + [630, 0.003], [633, 0.036], [634, 0.022], [635, 0.011], + [639, 0.085], [640, 0.085], [641, 0.069], [643, 0.002], + [644, 0.004], [647, 0.001], [650, 0.018], [651, 0.011], + [652, 0.005], [656, 0.043], [657, 0.043], [658, 0.035], + [711, 0.008], [712, 0.002], [3702, 0.003], [3703, 0.003], + [3704, 0.003], [3705, 0.003], [3706, 0.004], [3707, 0.004], + [3708, 0.005], [3709, 0.003], [3710, 0.003], [3711, 0.002], + [3712, 0.002], [3724, 0.002], [3725, 0.004], [3726, 0.007], + [3727, 0.014], [3728, 0.018], [3729, 0.02], [3730, 0.022], + [3731, 0.019], [3732, 0.017], [3733, 0.014], [3734, 0.013], + [3735, 0.011], [3736, 0.012], [3737, 0.012], [3738, 0.007], + [3739, 0.006], [5071, 0.486], [5072, 0.437], [5073, 0.165], + [5074, 0.336], [5135, 0.083], [5136, 0.008], [5137, 0.031], + [5138, 0.219], [5144, 0.002], [5145, 0.003], [5258, 0.004], + [5330, 0.008], [5334, 0.28], [5338, 0.002], [5339, 0.011], + [5340, 0.088], [5341, 0.051], [5342, 0.675], [5343, 0.675], + [5344, 0.476], [5345, 0.347], [5346, 0.223], [5347, 0.067], + [5348, 0.134], [5349, 0.17], [5350, 0.199], [5351, 0.131], + [5352, 0.128], [5353, 0.159], [5354, 0.138], [5356, 0.008], + [5357, 0.017], [5358, 0.033], [5359, 0.228], [5360, 0.207], + [5361, 0.14], [5362, 0.182], [5363, 0.102], [5364, 0.126], + [7065, 0.005], [7069, 0.013], [7070, 0.026], [7071, 0.035], + [7073, 0.031], [7074, 0.052], [7075, 0.077], [7077, 0.078], + [7078, 0.097], [7079, 0.141], [7103, 0.194], [7104, 0.295], + [7116, 0.516], [7117, 0.74], [7118, 0.856], [7119, 0.01], + [7120, 0.071], [7121, 0.037], [7122, 0.004], [7123, 0.041], + [7128, 0.017], [7129, 0.007], [7132, 0.019], [7134, 0.025], + [7135, 0.06], [7136, 0.009], [7137, 0.013], [7138, 0.011], + [7139, 0.004], [7140, 0.002], [7162, 0.009], [7163, 0.004], + [7167, 0.018], [7168, 0.045], [7169, 0.292], [7170, 0.096], + [7171, 0.065], [7172, 0.044], [7173, 0.065], [7174, 0.041], + [7175, 0.061], [7176, 0.05], [7177, 0.075], [7178, 0.057], + [7179, 0.086], [7180, 0.064], [7181, 0.098], [7182, 0.009], + [7183, 0.005], [7184, 0.019], [7185, 0.008], [7186, 0.005], + [7187, 0.018], [7188, 0.006], [7189, 0.005], [7190, 0.022], + [7191, 0.008], [7192, 0.006], [7193, 0.025], [7194, 0.01], + [7195, 0.007], [7196, 0.029], [7201, 0.001], [7202, 0.001], + [7203, 0.001], [7204, 0.002], [7205, 0.002], [7207, 0.095], + [7208, 0.09], [7209, 0.111], [7210, 0.808], [7211, 0.209], + [7212, 0.248], [7213, 0.273], [7214, 0.844], [7215, 0.544], + [7216, 0.473], [7217, 0.467], [7218, 0.448], [7219, 0.787], + [7220, 0.712], [7221, 0.618], [7222, 0.829], [7223, 0.791], + [7224, 0.756], [7225, 0.127], [7226, 0.289], [7227, 0.452], + [7228, 0.617], [7229, 0.752], [7246, 0.066], [7247, 0.045], + [7248, 0.02], [7249, 0.004], [7250, 0.004], [7252, 0.001], + [7253, 0.098], [7254, 0.256], [7255, 0.443], [7256, 0.648], + [7257, 0.771], [7261, 0.489], [7262, 0.303], [7263, 0.145], + [7267, 0.774], [7268, 0.633], [7269, 0.073], [7270, 0.113], + [7271, 0.01], [7272, 0.005], [7273, 0.034], [7274, 0.001], + [7276, 0.508], [7277, 0.306], [7278, 0.167], [7282, 0.795], + [7283, 0.662], [7284, 0.063], [7285, 0.097], [7286, 0.009], + [7287, 0.004], [7288, 0.031], [7289, 0.001], [7291, 0.422], + [7292, 0.262], [7293, 0.143], [7297, 0.763], [7298, 0.633], + [7299, 0.053], [7300, 0.081], [7301, 0.008], [7302, 0.004], + [7303, 0.027], [7306, 0.345], [7307, 0.218], [7308, 0.12], + [7312, 0.729], [7313, 0.603], [7314, 0.037], [7315, 0.058], + [7316, 0.006], [7317, 0.003], [7318, 0.022], [7321, 0.289], + [7322, 0.173], [7323, 0.088], [7327, 0.68], [7328, 0.555], + [7329, 0.019], [7330, 0.029], [7333, 0.011], [7336, 0.145], + [7337, 0.086], [7338, 0.044], [7342, 0.338], [7343, 0.276], + [7344, 0.009], [7345, 0.014], [7348, 0.005], [7351, 0.072], + [7352, 0.043], [7353, 0.022], [7357, 0.169], [7358, 0.139], + [7359, 0.005], [7360, 0.007], [7363, 0.003], [7366, 0.036], + [7367, 0.022], [7368, 0.011], [7372, 0.085], [7373, 0.069], + [7374, 0.002], [7375, 0.004], [7378, 0.001], [7381, 0.018], + [7382, 0.011], [7383, 0.005], [7387, 0.043], [7388, 0.035], + [7434, 0.008], [7435, 0.002], [10370, 0.003], [10371, 0.003], + [10372, 0.003], [10373, 0.003], [10374, 0.004], [10375, 0.004], + [10376, 0.005], [10377, 0.003], [10378, 0.003], [10379, 0.002], + [10380, 0.002], [10392, 0.002], [10393, 0.004], [10394, 0.007], + [10395, 0.014], [10396, 0.018], [10397, 0.02], [10398, 0.022], + [10399, 0.019], [10400, 0.017], [10401, 0.014], [10402, 0.013], + [10403, 0.011], [10404, 0.012], [10405, 0.012], [10406, 0.007], + [10407, 0.006], [11687, 0.486], [11688, 0.165], [11689, 0.336], + [11749, 0.083], [11750, 0.008], [11751, 0.031], [11752, 0.219], + [11758, 0.002], [11759, 0.003], [11866, 0.004], [11934, 0.008], + [11938, 0.28], [11941, 0.002], [11942, 0.011], [11943, 0.088], + [11944, 0.051], [11945, 0.675], [11946, 0.476], [11947, 0.347], + [11948, 0.223], [11949, 0.067], [11950, 0.134], [11951, 0.17], + [11952, 0.199], [11953, 0.131], [11954, 0.128], [11955, 0.159], + [11956, 0.138], [11958, 0.008], [11959, 0.017], [11960, 0.033], + [11961, 0.228], [11962, 0.207], [11963, 0.14], [11964, 0.182], + [11965, 0.102], [11966, 0.126] + ], + "oris07.L": [ + [491, 0.086], [492, 0.086], [493, 0.077], [494, 0.082], + [495, 0.091], [496, 0.091], [513, 0.086], [523, 0.075], + [540, 0.075], [557, 0.062], [574, 0.056], [591, 0.045], + [608, 0.023], [625, 0.012], [642, 0.006], [659, 0.003], + [724, 0.084], [732, 0.002], [733, 0.073], [5162, 0.047], + [5171, 0.018], [5211, 0.029], [5225, 0.009], [5296, 0.004], + [5337, 0.089], [7122, 0.242], [7123, 0.059], [7128, 0.088], + [7129, 0.184], [7130, 0.305], [7131, 0.315], [7132, 0.024], + [7133, 0.326], [7134, 0.026], [7135, 0.03], [7136, 0.063], + [7137, 0.06], [7138, 0.089], [7139, 0.189], [7140, 0.245], + [7159, 0.354], [7160, 0.372], [7161, 0.331], [7162, 0.204], + [7163, 0.259], [7164, 0.336], [7165, 0.322], [7166, 0.309], + [7167, 0.103], [7168, 0.07], [7170, 0.013], [7171, 0.038], + [7172, 0.087], [7173, 0.052], [7174, 0.096], [7175, 0.056], + [7176, 0.085], [7177, 0.048], [7178, 0.073], [7179, 0.039], + [7180, 0.054], [7181, 0.027], [7182, 0.233], [7183, 0.288], + [7184, 0.123], [7185, 0.255], [7186, 0.312], [7187, 0.136], + [7188, 0.237], [7189, 0.299], [7190, 0.123], [7191, 0.225], + [7192, 0.288], [7193, 0.107], [7194, 0.188], [7195, 0.257], + [7196, 0.081], [7197, 0.332], [7198, 0.343], [7199, 0.358], + [7200, 0.342], [7201, 0.359], [7202, 0.379], [7203, 0.366], + [7204, 0.357], [7205, 0.34], [7206, 0.319], [7207, 0.019], + [7208, 0.022], [7209, 0.018], [7225, 0.014], [7230, 0.306], + [7231, 0.32], [7232, 0.338], [7233, 0.326], [7234, 0.262], + [7235, 0.261], [7236, 0.243], [7237, 0.26], [7238, 0.281], + [7239, 0.275], [7240, 0.173], [7241, 0.172], [7242, 0.154], + [7243, 0.164], [7244, 0.183], [7245, 0.183], [7246, 0.054], + [7247, 0.094], [7248, 0.134], [7249, 0.242], [7250, 0.309], + [7251, 0.357], [7252, 0.379], [7253, 0.02], [7258, 0.335], + [7259, 0.275], [7260, 0.171], [7263, 0.009], [7264, 0.15], + [7265, 0.24], [7266, 0.299], [7269, 0.037], [7270, 0.018], + [7271, 0.141], [7272, 0.213], [7273, 0.056], [7274, 0.32], + [7275, 0.31], [7278, 0.006], [7279, 0.149], [7280, 0.239], + [7281, 0.295], [7284, 0.027], [7285, 0.012], [7286, 0.112], + [7287, 0.175], [7288, 0.042], [7289, 0.266], [7290, 0.251], + [7293, 0.004], [7294, 0.124], [7295, 0.179], [7296, 0.237], + [7299, 0.017], [7300, 0.007], [7301, 0.084], [7302, 0.138], + [7303, 0.028], [7304, 0.212], [7305, 0.205], [7308, 0.002], + [7309, 0.112], [7310, 0.156], [7311, 0.198], [7314, 0.009], + [7315, 0.003], [7316, 0.059], [7317, 0.099], [7318, 0.017], + [7319, 0.141], [7320, 0.142], [7324, 0.089], [7325, 0.119], + [7326, 0.143], [7329, 0.005], [7330, 0.001], [7331, 0.033], + [7332, 0.054], [7333, 0.01], [7334, 0.074], [7335, 0.074], + [7339, 0.047], [7340, 0.062], [7341, 0.075], [7344, 0.002], + [7346, 0.016], [7347, 0.027], [7348, 0.005], [7349, 0.037], + [7350, 0.037], [7354, 0.023], [7355, 0.031], [7356, 0.037], + [7359, 0.001], [7361, 0.008], [7362, 0.013], [7363, 0.002], + [7364, 0.019], [7365, 0.019], [7369, 0.012], [7370, 0.015], + [7371, 0.019], [7376, 0.004], [7377, 0.007], [7378, 0.001], + [7379, 0.009], [7380, 0.009], [7384, 0.006], [7385, 0.008], + [7386, 0.009], [7434, 0.101], [7435, 0.231], [7444, 0.353], + [7445, 0.264], [7446, 0.167], [7447, 0.285], [7450, 0.232], + [7451, 0.379], [7452, 0.432], [7453, 0.147], [7454, 0.319], + [7457, 0.015], [7599, 0.377], [7600, 0.415], [7602, 0.073], + [7616, 0.012], [7617, 0.016], [7618, 0.018], [7619, 0.018], + [7620, 0.008], [7621, 0.005], [10366, 0.017], [10367, 0.332], + [10368, 0.325], [10369, 0.308], [10370, 0.297], [10371, 0.323], + [10372, 0.345], [10373, 0.344], [10374, 0.333], [10375, 0.323], + [10376, 0.299], [10377, 0.267], [10378, 0.219], [10379, 0.172], + [10380, 0.113], [10381, 0.061], [10382, 0.03], [10383, 0.015], + [10384, 0.008], [10391, 0.003], [10392, 0.005], [10393, 0.011], + [10394, 0.022], [10395, 0.038], [10396, 0.056], [10397, 0.076], + [10398, 0.097], [10399, 0.132], [10400, 0.164], [10401, 0.178], + [10402, 0.186], [10403, 0.196], [10404, 0.178], [10405, 0.154], + [10406, 0.139], [10407, 0.155], [11751, 0.008], [11754, 0.101], + [11755, 0.058], [11756, 0.29], [11757, 0.219], [11758, 0.17], + [11759, 0.112], [11763, 0.123], [11769, 0.184], [11770, 0.226], + [11771, 0.094], [11772, 0.155], [11773, 0.222], [11774, 0.3], + [11775, 0.293], [11776, 0.274], [11777, 0.254], [11778, 0.143], + [11779, 0.097], [11780, 0.064], [11781, 0.036], [11782, 0.15], + [11783, 0.152], [11784, 0.153], [11785, 0.113], [11786, 0.141], + [11818, 0.186], [11821, 0.211], [11822, 0.202], [11823, 0.149], + [11824, 0.058], [11825, 0.1], [11826, 0.209], [11827, 0.216], + [11828, 0.15], [11830, 0.019], [11831, 0.034], [11832, 0.052], + [11833, 0.076], [11834, 0.083], [11835, 0.084], [11836, 0.084], + [11837, 0.079], [11866, 0.067], [11892, 0.045], [11893, 0.027], + [11894, 0.083], [11895, 0.045], [11896, 0.062], [11897, 0.009], + [11898, 0.015], [11899, 0.023], [11900, 0.034], [11901, 0.033], + [11902, 0.027], [11903, 0.022], [11904, 0.014], [11905, 0.011], + [11906, 0.009], [11907, 0.006], [11925, 0.024], [11926, 0.019], + [11934, 0.023], [11935, 0.009], [11936, 0.016], [11937, 0.003], + [11939, 0.261], [11940, 0.177], [11941, 0.285], [11942, 0.137], + [11943, 0.009], [11944, 0.005] + ], + "oris07.R": [ + [361, 0.242], [363, 0.059], [368, 0.088], [369, 0.184], + [370, 0.305], [371, 0.315], [372, 0.024], [373, 0.326], + [374, 0.026], [375, 0.03], [376, 0.063], [377, 0.06], + [378, 0.089], [379, 0.189], [380, 0.245], [399, 0.354], + [400, 0.372], [401, 0.331], [402, 0.204], [403, 0.259], + [404, 0.336], [405, 0.322], [406, 0.309], [407, 0.103], + [408, 0.07], [410, 0.013], [411, 0.038], [412, 0.087], + [413, 0.052], [414, 0.096], [415, 0.056], [416, 0.085], + [417, 0.048], [418, 0.073], [419, 0.039], [420, 0.054], + [421, 0.027], [422, 0.233], [423, 0.288], [424, 0.123], + [425, 0.255], [426, 0.312], [427, 0.136], [428, 0.237], + [429, 0.299], [430, 0.123], [431, 0.225], [432, 0.288], + [433, 0.107], [434, 0.188], [435, 0.257], [436, 0.081], + [437, 0.332], [438, 0.343], [439, 0.358], [440, 0.342], + [441, 0.359], [442, 0.379], [443, 0.366], [444, 0.357], + [445, 0.34], [446, 0.319], [447, 0.019], [448, 0.022], + [449, 0.018], [469, 0.014], [475, 0.306], [476, 0.32], + [477, 0.338], [478, 0.326], [479, 0.262], [480, 0.261], + [481, 0.243], [482, 0.26], [483, 0.281], [484, 0.275], + [485, 0.173], [486, 0.172], [487, 0.154], [488, 0.164], + [489, 0.183], [490, 0.183], [491, 0.086], [492, 0.086], + [493, 0.077], [494, 0.082], [495, 0.091], [496, 0.091], + [497, 0.054], [498, 0.094], [499, 0.134], [500, 0.242], + [501, 0.309], [502, 0.357], [503, 0.379], [504, 0.02], + [510, 0.335], [511, 0.275], [512, 0.171], [513, 0.086], + [516, 0.009], [517, 0.15], [518, 0.24], [519, 0.299], + [523, 0.075], [524, 0.037], [525, 0.018], [526, 0.141], + [527, 0.213], [528, 0.056], [529, 0.32], [530, 0.31], + [533, 0.006], [534, 0.149], [535, 0.239], [536, 0.295], + [540, 0.075], [541, 0.027], [542, 0.012], [543, 0.112], + [544, 0.175], [545, 0.042], [546, 0.266], [547, 0.251], + [550, 0.004], [551, 0.124], [552, 0.179], [553, 0.237], + [557, 0.062], [558, 0.017], [559, 0.007], [560, 0.084], + [561, 0.138], [562, 0.028], [563, 0.212], [564, 0.205], + [567, 0.002], [568, 0.112], [569, 0.156], [570, 0.198], + [574, 0.056], [575, 0.009], [576, 0.003], [577, 0.059], + [578, 0.099], [579, 0.017], [580, 0.141], [581, 0.142], + [585, 0.089], [586, 0.119], [587, 0.143], [591, 0.045], + [592, 0.005], [593, 0.001], [594, 0.033], [595, 0.054], + [596, 0.01], [597, 0.074], [598, 0.074], [602, 0.047], + [603, 0.062], [604, 0.075], [608, 0.023], [609, 0.002], + [611, 0.016], [612, 0.027], [613, 0.005], [614, 0.037], + [615, 0.037], [619, 0.023], [620, 0.031], [621, 0.037], + [625, 0.012], [626, 0.001], [628, 0.008], [629, 0.013], + [630, 0.002], [631, 0.019], [632, 0.019], [636, 0.012], + [637, 0.015], [638, 0.019], [642, 0.006], [645, 0.004], + [646, 0.007], [647, 0.001], [648, 0.009], [649, 0.009], + [653, 0.006], [654, 0.008], [655, 0.009], [659, 0.003], + [711, 0.101], [712, 0.231], [721, 0.353], [722, 0.264], + [723, 0.167], [724, 0.084], [725, 0.285], [728, 0.232], + [729, 0.379], [730, 0.432], [731, 0.147], [732, 0.002], + [733, 0.073], [734, 0.319], [737, 0.015], [897, 0.377], + [898, 0.415], [900, 0.073], [914, 0.012], [915, 0.016], + [916, 0.018], [917, 0.018], [918, 0.008], [919, 0.005], + [3698, 0.017], [3699, 0.332], [3700, 0.325], [3701, 0.308], + [3702, 0.297], [3703, 0.323], [3704, 0.345], [3705, 0.344], + [3706, 0.333], [3707, 0.323], [3708, 0.299], [3709, 0.267], + [3710, 0.219], [3711, 0.172], [3712, 0.113], [3713, 0.061], + [3714, 0.03], [3715, 0.015], [3716, 0.008], [3723, 0.003], + [3724, 0.005], [3725, 0.011], [3726, 0.022], [3727, 0.038], + [3728, 0.056], [3729, 0.076], [3730, 0.097], [3731, 0.132], + [3732, 0.164], [3733, 0.178], [3734, 0.186], [3735, 0.196], + [3736, 0.178], [3737, 0.154], [3738, 0.139], [3739, 0.155], + [5137, 0.008], [5140, 0.101], [5141, 0.058], [5142, 0.29], + [5143, 0.219], [5144, 0.17], [5145, 0.112], [5149, 0.123], + [5155, 0.184], [5156, 0.226], [5157, 0.094], [5158, 0.155], + [5159, 0.222], [5160, 0.3], [5161, 0.293], [5162, 0.047], + [5163, 0.274], [5164, 0.254], [5165, 0.143], [5166, 0.097], + [5167, 0.064], [5168, 0.036], [5169, 0.15], [5170, 0.152], + [5171, 0.018], [5172, 0.153], [5173, 0.113], [5174, 0.141], + [5207, 0.186], [5210, 0.211], [5211, 0.029], [5212, 0.202], + [5213, 0.149], [5214, 0.058], [5215, 0.1], [5216, 0.209], + [5217, 0.216], [5218, 0.15], [5220, 0.019], [5221, 0.034], + [5222, 0.052], [5223, 0.076], [5224, 0.083], [5225, 0.009], + [5226, 0.084], [5227, 0.084], [5228, 0.079], [5258, 0.067], + [5286, 0.045], [5287, 0.027], [5288, 0.083], [5289, 0.045], + [5290, 0.062], [5291, 0.009], [5292, 0.015], [5293, 0.023], + [5294, 0.034], [5295, 0.033], [5296, 0.004], [5297, 0.027], + [5298, 0.022], [5299, 0.014], [5300, 0.011], [5301, 0.009], + [5302, 0.006], [5321, 0.024], [5322, 0.019], [5330, 0.023], + [5331, 0.009], [5332, 0.016], [5333, 0.003], [5335, 0.261], + [5336, 0.177], [5337, 0.089], [5338, 0.285], [5339, 0.137], + [5340, 0.009], [5341, 0.005] + ], + "pelvis.L": [ + [4060, 0.003], [4110, 0.002], [4148, 0.001], [4181, 0.005], + [4188, 0.011], [4195, 0.024], [4205, 0.095], [4215, 0.14], + [4223, 0.163], [4232, 0.185], [4241, 0.151], [4250, 0.118], + [4259, 0.067], [4267, 0.065], [4317, 0.012], [4323, 0.024], + [4329, 0.052], [4335, 0.058], [4341, 0.064], [4347, 0.05], + [4367, 0.006], [4370, 0.037], [4372, 0.005], [4374, 0.006], + [4376, 0.078], [4387, 0.05], [6431, 0.005], [10679, 0.001], + [10680, 0.001], [10681, 0.001], [10682, 0.001], [10683, 0.001], + [10684, 0.001], [10685, 0.001], [10688, 0.001], [10689, 0.001], + [10690, 0.001], [10691, 0.001], [10692, 0.006], [10693, 0.005], + [10694, 0.005], [10695, 0.001], [10696, 0.002], [10697, 0.002], + [10698, 0.002], [10699, 0.002], [10700, 0.002], [10701, 0.001], + [10703, 0.005], [10704, 0.005], [10705, 0.004], [10706, 0.011], + [10707, 0.01], [10708, 0.011], [10709, 0.001], [10710, 0.01], + [10711, 0.009], [10712, 0.008], [10713, 0.008], [10714, 0.006], + [10715, 0.005], [10716, 0.01], [10717, 0.011], [10718, 0.009], + [10726, 0.005], [10732, 0.001], [10742, 0.001], [10746, 0.003], + [10747, 0.004], [10753, 0.001], [10754, 0.005], [10755, 0.005], + [10757, 0.002], [10758, 0.004], [10765, 0.002], [10766, 0.002], + [10767, 0.01], [10768, 0.005], [10769, 0.009], [10770, 0.01], + [10771, 0.022], [10772, 0.022], [10773, 0.023], [10774, 0.02], + [10775, 0.022], [10776, 0.004], [10777, 0.004], [10778, 0.02], + [10779, 0.011], [10780, 0.017], [10781, 0.019], [10782, 0.003], + [10783, 0.002], [10784, 0.003], [10785, 0.003], [10786, 0.003], + [10787, 0.002], [10788, 0.004], [10789, 0.003], [10790, 0.003], + [10791, 0.005], [10792, 0.004], [10794, 0.004], [10795, 0.002], + [10798, 0.001], [10799, 0.002], [10800, 0.002], [10801, 0.002], + [10802, 0.04], [10803, 0.008], [10804, 0.009], [10805, 0.044], + [10806, 0.041], [10807, 0.045], [10808, 0.043], [10809, 0.045], + [10810, 0.039], [10811, 0.034], [10812, 0.022], [10813, 0.01], + [10814, 0.02], [10815, 0.041], [10816, 0.019], [10817, 0.019], + [10818, 0.017], [10819, 0.016], [10820, 0.013], [10821, 0.011], + [10822, 0.039], [10823, 0.038], [10824, 0.035], [10825, 0.033], + [10826, 0.027], [10827, 0.023], [10828, 0.081], [10829, 0.078], + [10830, 0.071], [10831, 0.068], [10832, 0.056], [10833, 0.048], + [10834, 0.019], [10835, 0.039], [10836, 0.169], [10837, 0.305], + [10838, 0.299], [10839, 0.278], [10840, 0.266], [10841, 0.23], + [10842, 0.191], [10843, 0.158], [10844, 0.318], [10845, 0.298], + [10846, 0.385], [10847, 0.389], [10848, 0.366], [10849, 0.37], + [10850, 0.351], [10851, 0.28], [10852, 0.379], [10853, 0.432], + [10854, 0.45], [10855, 0.416], [10856, 0.434], [10857, 0.426], + [10858, 0.326], [10859, 0.354], [10860, 0.391], [10861, 0.479], + [10862, 0.511], [10863, 0.465], [10864, 0.498], [10865, 0.5], + [10866, 0.37], [10867, 0.378], [10868, 0.402], [10869, 0.403], + [10870, 0.467], [10871, 0.357], [10872, 0.401], [10873, 0.408], + [10874, 0.303], [10875, 0.401], [10876, 0.324], [10877, 0.326], + [10878, 0.423], [10879, 0.25], [10880, 0.305], [10881, 0.317], + [10882, 0.235], [10883, 0.327], [10884, 0.246], [10885, 0.255], + [10886, 0.297], [10887, 0.25], [10888, 0.206], [10889, 0.188], + [10890, 0.133], [10891, 0.253], [10892, 0.204], [10893, 0.161], + [10894, 0.152], [10895, 0.169], [10896, 0.181], [10897, 0.13], + [10898, 0.214], [10899, 0.188], [10900, 0.176], [10901, 0.188], + [10902, 0.18], [10903, 0.189], [10904, 0.164], [10905, 0.31], + [10906, 0.335], [10907, 0.269], [10908, 0.276], [10909, 0.296], + [10910, 0.281], [10911, 0.342], [10912, 0.389], [10913, 0.298], + [10914, 0.312], [10915, 0.319], [10916, 0.309], [10917, 0.296], + [10918, 0.367], [10919, 0.273], [10920, 0.286], [10921, 0.288], + [10922, 0.28], [10923, 0.251], [10924, 0.345], [10925, 0.249], + [10926, 0.261], [10927, 0.257], [10928, 0.25], [10929, 0.215], + [10930, 0.282], [10931, 0.18], [10932, 0.204], [10933, 0.188], + [10934, 0.176], [10935, 0.178], [10936, 0.218], [10937, 0.112], + [10938, 0.147], [10939, 0.12], [10940, 0.102], [10941, 0.143], + [10942, 0.162], [10943, 0.068], [10944, 0.117], [10945, 0.066], + [10946, 0.087], [10947, 0.166], [10948, 0.034], [10949, 0.036], + [10950, 0.134], [10951, 0.088], [10952, 0.265], [10953, 0.069], + [10954, 0.075], [10955, 0.253], [10956, 0.177], [10957, 0.287], + [10958, 0.111], [10959, 0.112], [10960, 0.259], [10961, 0.192], + [10962, 0.262], [10963, 0.119], [10964, 0.121], [10965, 0.242], + [10966, 0.194], [10967, 0.237], [10968, 0.127], [10969, 0.129], + [10970, 0.225], [10971, 0.197], [10972, 0.177], [10973, 0.128], + [10974, 0.1], [10975, 0.169], [10976, 0.156], [10977, 0.116], + [10978, 0.08], [10979, 0.112], [10980, 0.115], [10981, 0.024], + [10982, 0.049], [10983, 0.105], [10984, 0.116], [10985, 0.128], + [10986, 0.101], [10987, 0.067], [10988, 0.043], [10989, 0.016], + [10990, 0.012], [10991, 0.082], [10992, 0.018], [10993, 0.073], + [10994, 0.01], [10995, 0.012], [10996, 0.156], [10997, 0.129], + [10998, 0.091], [10999, 0.038], [11000, 0.167], [11001, 0.09], + [11002, 0.08], [11003, 0.047], [11004, 0.128], [11005, 0.1], + [11006, 0.161], [11007, 0.155], [11008, 0.144], [11009, 0.08], + [11010, 0.137], [11011, 0.118], [11012, 0.086], [11013, 0.089], + [11014, 0.094], [11015, 0.08], [11016, 0.093], [11017, 0.092], + [11018, 0.088], [11019, 0.131], [11020, 0.15], [11021, 0.086], + [11022, 0.1], [11023, 0.055], [11024, 0.076], [11025, 0.081], + [11026, 0.098], [11027, 0.075], [11028, 0.054], [11029, 0.072], + [11030, 0.075], [11031, 0.039], [11032, 0.102], [11033, 0.071], + [11034, 0.079], [11035, 0.052], [11036, 0.045], [11037, 0.061], + [11038, 0.071], [11039, 0.087], [11040, 0.113], [11041, 0.046], + [11042, 0.05], [11043, 0.062], [11044, 0.072], [11045, 0.162], + [11046, 0.069], [11047, 0.058], [11048, 0.137], [11049, 0.087], + [11050, 0.097], [11051, 0.091], [11052, 0.034], [11053, 0.069], + [11054, 0.083], [11055, 0.049], [11056, 0.057], [11057, 0.041], + [11058, 0.045], [11059, 0.044], [11060, 0.026], [11061, 0.038], + [11062, 0.038], [11063, 0.039], [11064, 0.035], [11065, 0.046], + [11066, 0.046], [11067, 0.041], [11068, 0.059], [11069, 0.049], + [11070, 0.046], [11071, 0.017], [11072, 0.035], [11073, 0.042], + [11074, 0.024], [11075, 0.029], [11076, 0.021], [11077, 0.023], + [11078, 0.022], [11079, 0.013], [11080, 0.019], [11081, 0.019], + [11082, 0.02], [11083, 0.017], [11084, 0.023], [11085, 0.023], + [11086, 0.021], [11087, 0.03], [12932, 0.05], [12987, 0.01], + [12989, 0.047], [12990, 0.077], [12991, 0.086], [12992, 0.06], + [12993, 0.037], [12994, 0.019], [13846, 1.0], [13847, 1.0], + [13848, 1.0], [13849, 1.0], [13850, 1.0], [13851, 1.0], + [13852, 1.0], [13853, 1.0], [15139, 0.098], [15140, 0.146], + [15141, 0.118], [15142, 0.138], [15143, 0.214], [15144, 0.096], + [15145, 0.213], [15146, 0.121], [15164, 0.095], [15165, 0.143], + [15166, 0.096], [15167, 0.125], [15168, 0.133], [15169, 0.119], + [15170, 0.094], [15171, 0.244], [15172, 0.172], [15173, 0.13], + [15174, 0.176], [15175, 0.216], [15176, 0.158], [15177, 0.094], + [15184, 0.193], [15185, 0.105], [15186, 0.132], [15187, 0.293], + [15188, 0.19], [15189, 0.137], [15191, 0.119], [15214, 0.115], + [15215, 0.187], [15216, 0.103], [15217, 0.261], [15218, 0.156], + [15219, 0.161], [15220, 0.221], [15221, 0.01], [15235, 0.217], + [15237, 0.052], [15243, 0.227], [15253, 0.171], [15269, 0.032], + [16519, 0.011], [16520, 0.001], [16522, 0.005], [16523, 0.003], + [16891, 0.19], [16902, 0.197], [16970, 0.007], [16997, 0.027], + [17004, 0.144], [17013, 0.095], [17024, 0.067], [17090, 0.028], + [17122, 0.158], [17220, 0.002], [17221, 0.009], [17311, 0.003], + [17314, 0.003], [17315, 0.002], [17323, 0.002], [17337, 0.001], + [17338, 0.002], [17344, 0.003], [17345, 0.003], [17347, 0.002], + [17348, 0.011], [17349, 0.01], [17350, 0.002], [17351, 0.002], + [17352, 0.009], [17353, 0.005], [17354, 0.008], [17355, 0.01], + [17356, 0.002], [17357, 0.002], [17358, 0.002], [17359, 0.002], + [17360, 0.028], [17361, 0.005], [17362, 0.005], [17363, 0.03], + [17364, 0.031], [17365, 0.028], [17366, 0.023], [17367, 0.015], + [17368, 0.01], [17369, 0.029], [17370, 0.009], [17371, 0.008], + [17372, 0.008], [17373, 0.006], [17374, 0.026], [17375, 0.025], + [17376, 0.023], [17377, 0.018], [17378, 0.007], [17379, 0.063], + [17380, 0.061], [17381, 0.056], [17382, 0.045], [17383, 0.009], + [17384, 0.026], [17385, 0.142], [17386, 0.138], [17387, 0.128], + [17388, 0.109], [17389, 0.041], [17390, 0.161], [17391, 0.149], + [17392, 0.198], [17393, 0.2], [17394, 0.188], [17395, 0.186], + [17396, 0.18], [17397, 0.182], [17398, 0.234], [17399, 0.241], + [17400, 0.225], [17401, 0.241], [17402, 0.159], [17403, 0.201], + [17404, 0.196], [17405, 0.213], [17406, 0.155], [17407, 0.178], + [17408, 0.11], [17409, 0.132], [17410, 0.148], [17411, 0.123], + [17412, 0.105], [17413, 0.159], [17414, 0.056], [17415, 0.087], + [17416, 0.111], [17417, 0.144], [17418, 0.131], [17419, 0.137], + [17420, 0.149], [17421, 0.134], [17422, 0.14], [17423, 0.118], + [17424, 0.115], [17425, 0.114], [17426, 0.074], [17427, 0.053], + [17428, 0.056], [17429, 0.043], [17430, 0.023], [17431, 0.029], + [17432, 0.127], [17433, 0.031], [17434, 0.034], [17435, 0.123], + [17436, 0.087], [17437, 0.125], [17438, 0.055], [17439, 0.055], + [17440, 0.117], [17441, 0.093], [17442, 0.106], [17443, 0.061], + [17444, 0.061], [17445, 0.101], [17446, 0.092], [17447, 0.062], + [17448, 0.057], [17449, 0.037], [17450, 0.053], [17451, 0.052], + [17452, 0.054], [17453, 0.035], [17454, 0.012], [17455, 0.065], + [17456, 0.013], [17457, 0.047], [17458, 0.009], [17459, 0.027], + [17460, 0.076], [17461, 0.062], [17462, 0.069], [17463, 0.077], + [17464, 0.067], [17465, 0.073], [17466, 0.029], [17467, 0.036], + [17468, 0.023], [17469, 0.022], [17470, 0.031], [17471, 0.032], + [17472, 0.018], [17473, 0.044], [17474, 0.023], [17475, 0.028], + [17476, 0.037], [17477, 0.049], [17478, 0.075], [17479, 0.065], + [17480, 0.044], [17481, 0.04], [17482, 0.012], [17483, 0.019], + [17484, 0.038], [17485, 0.016], [17486, 0.013], [17487, 0.015], + [17488, 0.009], [17489, 0.013], [17490, 0.012], [17491, 0.016], + [17492, 0.015], [17493, 0.021], [17494, 0.022], [17495, 0.028], + [17496, 0.012], [17497, 0.011], [17498, 0.003], [17499, 0.004], + [17500, 0.008], [17501, 0.004], [17502, 0.003], [17503, 0.003], + [17504, 0.002], [17505, 0.003], [17506, 0.003], [17507, 0.005], + [17508, 0.005], [17509, 0.006], [17510, 0.006], [17511, 0.007], + [17728, 0.024], [17729, 0.035], [17730, 0.036], [17731, 0.017], + [17732, 0.005], [17821, 0.001], [17842, 0.001], [17843, 0.005], + [17844, 0.015], [17845, 0.033], [17846, 0.085], [17847, 0.151], + [17848, 0.21], [17849, 0.152], [17850, 0.077], [17851, 0.072], + [17852, 0.081], [17854, 0.004], [17855, 0.004], [17856, 0.033], + [17857, 0.048], [17858, 0.063], [17859, 0.054], [17860, 0.023], + [17861, 0.009], [17862, 0.004], [17957, 0.003], [17958, 0.016], + [17959, 0.027], [17960, 0.023], [17961, 0.008], [17962, 0.013], + [17963, 0.021], [17964, 0.012], [17965, 0.027], [17966, 0.032], + [17967, 0.025], [17968, 0.004], [17969, 0.018], [17970, 0.002], + [17972, 0.017], [17973, 0.002], [18038, 0.187], [18039, 0.06], + [18040, 0.048], [18041, 0.068], [18042, 0.046], [18043, 0.079], + [18044, 0.062], [18045, 0.047], [18046, 0.039], [18047, 0.038], + [18048, 0.084], [18049, 0.018], [18053, 0.141], [18054, 0.108], + [18055, 0.105], [18056, 0.093], [18057, 0.053], [18058, 0.033], + [18059, 0.141], [18060, 0.135], [18061, 0.138], [18063, 0.133], + [18064, 0.134], [18065, 0.173], [18066, 0.174], [18067, 0.154], + [18068, 0.147], [18069, 0.145], [18071, 0.045], [18072, 0.134], + [18073, 0.082], [18091, 0.425], [18092, 0.315], [18093, 0.293], + [18094, 0.272], [18095, 0.274], [18097, 0.259], [18098, 0.202], + [18099, 0.188], [18101, 0.31], [18102, 0.192], [18103, 0.363], + [18104, 0.436], [18105, 0.357], [18106, 0.364], [18107, 0.334], + [18108, 0.245], [18109, 0.163], [18117, 0.062], [18119, 0.031], + [18126, 0.094], [18127, 0.499], [18128, 0.531], [18129, 0.555], + [18130, 0.55], [18131, 0.544], [18132, 0.22], [18133, 0.302], + [18134, 0.25], [18135, 0.188], [18136, 0.125], [18137, 0.334], + [18138, 0.219], [18139, 0.526], [18140, 0.411], [18141, 0.377], + [18142, 0.387], [18143, 0.384], [18144, 0.538], [18145, 0.156], + [18149, 0.068], [18150, 0.135], [18153, 0.053], [18155, 0.026], + [18161, 0.203], [18162, 0.08], [18163, 0.351], [18164, 0.451], + [18165, 0.54], [18166, 0.473], [18167, 0.405], [18168, 0.27], + [18169, 0.211], [18170, 0.208], [18171, 0.159], [18172, 0.108], + [18173, 0.205], [18174, 0.185], [18175, 0.402], [18176, 0.289], + [18177, 0.243], [18178, 0.216], [18179, 0.221], [18180, 0.338], + [18181, 0.134], [18185, 0.041], [18186, 0.081], [18189, 0.025], + [18191, 0.013], [18197, 0.122], [18198, 0.038], [18199, 0.249], + [18200, 0.28], [18201, 0.326], [18202, 0.285], [18203, 0.244], + [18204, 0.163], [18205, 0.089], [18206, 0.101], [18207, 0.076], + [18208, 0.051], [18209, 0.098], [18210, 0.089], [18211, 0.257], + [18212, 0.205], [18213, 0.162], [18214, 0.148], [18215, 0.173], + [18216, 0.204], [18217, 0.064], [18221, 0.024], [18222, 0.049], + [18233, 0.073], [18234, 0.008], [18235, 0.078], [18236, 0.142], + [18237, 0.195], [18238, 0.171], [18239, 0.147], [18240, 0.098], + [18241, 0.025], [18242, 0.022], [18243, 0.016], [18244, 0.011], + [18245, 0.024], [18246, 0.019], [18247, 0.114], [18248, 0.052], + [18249, 0.036], [18250, 0.018], [18251, 0.022], [18252, 0.122], + [18253, 0.013], [18257, 0.007], [18258, 0.013], [18269, 0.02], + [18271, 0.046], [18272, 0.047], [18273, 0.052], [18274, 0.046], + [18275, 0.039], [18276, 0.026], [18277, 0.011], [18278, 0.008], + [18281, 0.01], [18282, 0.007], [18283, 0.047], [18284, 0.036], + [18285, 0.023], [18286, 0.008], [18287, 0.011], [18288, 0.033], + [18305, 0.007], [18308, 0.012], [18309, 0.02], [18310, 0.017], + [18311, 0.015], [18312, 0.01], [18319, 0.009], [18324, 0.012], + [18870, 0.009] + ], + "pelvis.R": [ + [4021, 0.001], [4022, 0.001], [4023, 0.001], [4024, 0.001], + [4025, 0.001], [4026, 0.001], [4027, 0.001], [4031, 0.001], + [4032, 0.001], [4033, 0.001], [4034, 0.001], [4035, 0.006], + [4036, 0.005], [4037, 0.005], [4038, 0.001], [4039, 0.002], + [4040, 0.002], [4041, 0.002], [4042, 0.002], [4043, 0.002], + [4044, 0.001], [4047, 0.005], [4048, 0.005], [4049, 0.004], + [4050, 0.011], [4051, 0.01], [4052, 0.011], [4053, 0.001], + [4054, 0.01], [4055, 0.009], [4056, 0.008], [4057, 0.008], + [4058, 0.006], [4059, 0.005], [4060, 0.003], [4061, 0.01], + [4062, 0.011], [4063, 0.009], [4074, 0.005], [4080, 0.001], + [4091, 0.001], [4096, 0.003], [4097, 0.004], [4103, 0.001], + [4104, 0.005], [4105, 0.005], [4108, 0.002], [4109, 0.004], + [4110, 0.002], [4122, 0.002], [4123, 0.002], [4124, 0.01], + [4125, 0.005], [4126, 0.009], [4127, 0.01], [4128, 0.022], + [4129, 0.022], [4130, 0.023], [4131, 0.02], [4132, 0.022], + [4133, 0.004], [4134, 0.004], [4135, 0.02], [4136, 0.011], + [4137, 0.017], [4138, 0.019], [4139, 0.003], [4140, 0.002], + [4141, 0.003], [4142, 0.003], [4143, 0.003], [4144, 0.002], + [4145, 0.004], [4146, 0.003], [4147, 0.003], [4148, 0.001], + [4149, 0.005], [4150, 0.004], [4152, 0.004], [4153, 0.002], + [4157, 0.001], [4158, 0.002], [4159, 0.002], [4160, 0.002], + [4161, 0.04], [4162, 0.008], [4163, 0.009], [4164, 0.044], + [4165, 0.041], [4166, 0.045], [4167, 0.043], [4168, 0.045], + [4169, 0.039], [4170, 0.034], [4171, 0.022], [4172, 0.01], + [4173, 0.02], [4174, 0.041], [4175, 0.019], [4176, 0.019], + [4177, 0.017], [4178, 0.016], [4179, 0.013], [4180, 0.011], + [4181, 0.005], [4182, 0.039], [4183, 0.038], [4184, 0.035], + [4185, 0.033], [4186, 0.027], [4187, 0.023], [4188, 0.011], + [4189, 0.081], [4190, 0.078], [4191, 0.071], [4192, 0.068], + [4193, 0.056], [4194, 0.048], [4195, 0.024], [4196, 0.019], + [4197, 0.039], [4198, 0.169], [4199, 0.305], [4200, 0.299], + [4201, 0.278], [4202, 0.266], [4203, 0.23], [4204, 0.191], + [4205, 0.095], [4206, 0.158], [4207, 0.318], [4208, 0.298], + [4209, 0.385], [4210, 0.389], [4211, 0.366], [4212, 0.37], + [4213, 0.351], [4214, 0.28], [4215, 0.14], [4216, 0.379], + [4217, 0.432], [4218, 0.45], [4219, 0.416], [4220, 0.434], + [4221, 0.426], [4222, 0.326], [4223, 0.163], [4224, 0.354], + [4225, 0.391], [4226, 0.479], [4227, 0.511], [4228, 0.465], + [4229, 0.498], [4230, 0.5], [4231, 0.37], [4232, 0.185], + [4233, 0.378], [4234, 0.402], [4235, 0.403], [4236, 0.467], + [4237, 0.357], [4238, 0.401], [4239, 0.408], [4240, 0.303], + [4241, 0.151], [4242, 0.401], [4243, 0.324], [4244, 0.326], + [4245, 0.423], [4246, 0.25], [4247, 0.305], [4248, 0.317], + [4249, 0.235], [4250, 0.118], [4251, 0.327], [4252, 0.246], + [4253, 0.255], [4254, 0.297], [4255, 0.25], [4256, 0.206], + [4257, 0.188], [4258, 0.133], [4259, 0.067], [4260, 0.253], + [4261, 0.204], [4262, 0.161], [4263, 0.152], [4264, 0.169], + [4265, 0.181], [4266, 0.13], [4267, 0.065], [4268, 0.214], + [4269, 0.188], [4270, 0.176], [4271, 0.188], [4272, 0.18], + [4273, 0.189], [4274, 0.164], [4275, 0.31], [4276, 0.335], + [4277, 0.269], [4278, 0.276], [4279, 0.296], [4280, 0.281], + [4281, 0.342], [4282, 0.389], [4283, 0.298], [4284, 0.312], + [4285, 0.319], [4286, 0.309], [4287, 0.296], [4288, 0.367], + [4289, 0.273], [4290, 0.286], [4291, 0.288], [4292, 0.28], + [4293, 0.251], [4294, 0.345], [4295, 0.249], [4296, 0.261], + [4297, 0.257], [4298, 0.25], [4299, 0.215], [4300, 0.282], + [4301, 0.18], [4302, 0.204], [4303, 0.188], [4304, 0.176], + [4305, 0.178], [4306, 0.218], [4307, 0.112], [4308, 0.147], + [4309, 0.12], [4310, 0.102], [4311, 0.143], [4312, 0.162], + [4313, 0.068], [4314, 0.117], [4315, 0.066], [4316, 0.087], + [4317, 0.012], [4318, 0.166], [4319, 0.034], [4320, 0.036], + [4321, 0.134], [4322, 0.088], [4323, 0.024], [4324, 0.265], + [4325, 0.069], [4326, 0.075], [4327, 0.253], [4328, 0.177], + [4329, 0.052], [4330, 0.287], [4331, 0.111], [4332, 0.112], + [4333, 0.259], [4334, 0.192], [4335, 0.058], [4336, 0.262], + [4337, 0.119], [4338, 0.121], [4339, 0.242], [4340, 0.194], + [4341, 0.064], [4342, 0.237], [4343, 0.127], [4344, 0.129], + [4345, 0.225], [4346, 0.197], [4347, 0.05], [4348, 0.177], + [4349, 0.128], [4350, 0.1], [4351, 0.169], [4352, 0.156], + [4353, 0.116], [4354, 0.08], [4355, 0.112], [4356, 0.115], + [4357, 0.024], [4358, 0.049], [4359, 0.105], [4360, 0.116], + [4361, 0.128], [4362, 0.101], [4363, 0.067], [4364, 0.043], + [4365, 0.016], [4366, 0.012], [4367, 0.006], [4368, 0.082], + [4369, 0.018], [4370, 0.037], [4371, 0.073], [4372, 0.005], + [4373, 0.01], [4374, 0.006], [4375, 0.012], [4376, 0.078], + [4377, 0.156], [4378, 0.129], [4379, 0.091], [4380, 0.038], + [4381, 0.167], [4382, 0.09], [4383, 0.08], [4384, 0.047], + [4385, 0.128], [4386, 0.1], [4387, 0.05], [4388, 0.161], + [4389, 0.155], [4390, 0.144], [4391, 0.08], [4392, 0.137], + [4393, 0.118], [4394, 0.086], [4395, 0.089], [4396, 0.094], + [4397, 0.08], [4398, 0.093], [4399, 0.092], [4400, 0.088], + [4401, 0.131], [4402, 0.15], [4403, 0.086], [4404, 0.1], + [4405, 0.055], [4406, 0.076], [4407, 0.081], [4408, 0.098], + [4409, 0.075], [4410, 0.054], [4411, 0.072], [4412, 0.075], + [4413, 0.039], [4414, 0.102], [4415, 0.071], [4416, 0.079], + [4417, 0.052], [4418, 0.045], [4419, 0.061], [4420, 0.071], + [4421, 0.087], [4422, 0.113], [4423, 0.046], [4424, 0.05], + [4425, 0.062], [4426, 0.072], [4427, 0.162], [4428, 0.069], + [4429, 0.058], [4430, 0.137], [4431, 0.087], [4432, 0.097], + [4433, 0.091], [4434, 0.034], [4435, 0.069], [4436, 0.083], + [4437, 0.049], [4438, 0.057], [4439, 0.041], [4440, 0.045], + [4441, 0.044], [4442, 0.026], [4443, 0.038], [4444, 0.038], + [4445, 0.039], [4446, 0.035], [4447, 0.046], [4448, 0.046], + [4449, 0.041], [4450, 0.059], [4451, 0.049], [4452, 0.046], + [4453, 0.017], [4454, 0.035], [4455, 0.042], [4456, 0.024], + [4457, 0.029], [4458, 0.021], [4459, 0.023], [4460, 0.022], + [4461, 0.013], [4462, 0.019], [4463, 0.019], [4464, 0.02], + [4465, 0.017], [4466, 0.023], [4467, 0.023], [4468, 0.021], + [4469, 0.03], [6335, 0.05], [6390, 0.01], [6392, 0.047], + [6393, 0.077], [6394, 0.086], [6395, 0.06], [6396, 0.037], + [6397, 0.019], [6431, 0.005], [14286, 1.0], [14287, 1.0], + [14288, 1.0], [14289, 1.0], [14290, 1.0], [14291, 1.0], + [14292, 1.0], [14293, 1.0], [15129, 0.098], [15130, 0.146], + [15131, 0.118], [15132, 0.138], [15134, 0.214], [15136, 0.096], + [15137, 0.213], [15138, 0.121], [15147, 0.095], [15148, 0.143], + [15150, 0.096], [15151, 0.125], [15152, 0.119], [15153, 0.133], + [15154, 0.094], [15155, 0.094], [15157, 0.244], [15158, 0.172], + [15159, 0.13], [15160, 0.176], [15161, 0.216], [15162, 0.158], + [15178, 0.193], [15179, 0.105], [15180, 0.132], [15181, 0.293], + [15182, 0.19], [15183, 0.137], [15190, 0.119], [15228, 0.217], + [15236, 0.052], [15238, 0.261], [15239, 0.187], [15240, 0.115], + [15241, 0.227], [15242, 0.171], [15250, 0.161], [15251, 0.156], + [15252, 0.103], [15260, 0.01], [15261, 0.221], [15267, 0.032], + [15587, 0.19], [15598, 0.197], [15658, 0.007], [15685, 0.027], + [15692, 0.144], [15701, 0.095], [15712, 0.067], [15773, 0.028], + [15805, 0.158], [15902, 0.002], [15903, 0.009], [15990, 0.003], + [15992, 0.003], [15993, 0.002], [16001, 0.002], [16012, 0.001], + [16013, 0.002], [16019, 0.003], [16020, 0.003], [16021, 0.011], + [16022, 0.01], [16023, 0.002], [16024, 0.002], [16025, 0.009], + [16026, 0.005], [16027, 0.008], [16028, 0.01], [16029, 0.002], + [16030, 0.002], [16031, 0.002], [16032, 0.002], [16033, 0.028], + [16034, 0.005], [16035, 0.005], [16036, 0.03], [16037, 0.031], + [16038, 0.028], [16039, 0.023], [16040, 0.015], [16041, 0.01], + [16042, 0.029], [16043, 0.009], [16044, 0.008], [16045, 0.008], + [16046, 0.006], [16047, 0.026], [16048, 0.025], [16049, 0.023], + [16050, 0.018], [16051, 0.063], [16052, 0.061], [16053, 0.056], + [16054, 0.045], [16055, 0.009], [16056, 0.026], [16057, 0.142], + [16058, 0.138], [16059, 0.128], [16060, 0.109], [16061, 0.161], + [16062, 0.149], [16063, 0.198], [16064, 0.2], [16065, 0.188], + [16066, 0.186], [16067, 0.18], [16068, 0.182], [16069, 0.234], + [16070, 0.241], [16071, 0.225], [16072, 0.241], [16073, 0.159], + [16074, 0.201], [16075, 0.196], [16076, 0.213], [16077, 0.155], + [16078, 0.178], [16079, 0.11], [16080, 0.132], [16081, 0.148], + [16082, 0.123], [16083, 0.105], [16084, 0.159], [16085, 0.056], + [16086, 0.087], [16087, 0.111], [16088, 0.144], [16089, 0.131], + [16090, 0.137], [16091, 0.149], [16092, 0.134], [16093, 0.14], + [16094, 0.118], [16095, 0.115], [16096, 0.114], [16097, 0.074], + [16098, 0.053], [16099, 0.056], [16100, 0.043], [16101, 0.023], + [16102, 0.029], [16103, 0.127], [16104, 0.031], [16105, 0.034], + [16106, 0.123], [16107, 0.087], [16108, 0.125], [16109, 0.055], + [16110, 0.055], [16111, 0.117], [16112, 0.093], [16113, 0.106], + [16114, 0.061], [16115, 0.061], [16116, 0.101], [16117, 0.092], + [16118, 0.062], [16119, 0.057], [16120, 0.037], [16121, 0.053], + [16122, 0.052], [16123, 0.054], [16124, 0.035], [16125, 0.012], + [16126, 0.065], [16127, 0.013], [16128, 0.047], [16129, 0.009], + [16130, 0.027], [16131, 0.076], [16132, 0.062], [16133, 0.069], + [16134, 0.077], [16135, 0.067], [16136, 0.073], [16137, 0.029], + [16138, 0.036], [16139, 0.023], [16140, 0.022], [16141, 0.031], + [16142, 0.032], [16143, 0.018], [16144, 0.044], [16145, 0.023], + [16146, 0.028], [16147, 0.037], [16148, 0.049], [16149, 0.075], + [16150, 0.065], [16151, 0.044], [16152, 0.04], [16153, 0.012], + [16154, 0.019], [16155, 0.038], [16156, 0.016], [16157, 0.013], + [16158, 0.015], [16159, 0.009], [16160, 0.013], [16161, 0.012], + [16162, 0.016], [16163, 0.015], [16164, 0.021], [16165, 0.022], + [16166, 0.028], [16167, 0.012], [16168, 0.011], [16169, 0.003], + [16170, 0.004], [16171, 0.008], [16172, 0.004], [16173, 0.003], + [16174, 0.003], [16175, 0.002], [16176, 0.003], [16177, 0.003], + [16178, 0.005], [16179, 0.005], [16180, 0.006], [16181, 0.006], + [16182, 0.007], [16399, 0.024], [16400, 0.035], [16401, 0.036], + [16402, 0.017], [16403, 0.005], [16487, 0.001], [16508, 0.001], + [16509, 0.005], [16510, 0.015], [16511, 0.033], [16512, 0.085], + [16513, 0.151], [16514, 0.21], [16515, 0.152], [16516, 0.077], + [16517, 0.072], [16518, 0.081], [16520, 0.004], [16521, 0.004], + [16522, 0.033], [16523, 0.048], [16524, 0.063], [16525, 0.054], + [16526, 0.023], [16527, 0.009], [16528, 0.004], [17347, 0.002], + [17378, 0.007], [17389, 0.041], [17853, 0.011], [17854, 0.001], + [17856, 0.005], [17857, 0.003], [17957, 0.003], [17958, 0.016], + [17959, 0.027], [17960, 0.023], [17961, 0.008], [17962, 0.013], + [17963, 0.021], [17964, 0.012], [17965, 0.027], [17966, 0.032], + [17967, 0.025], [17968, 0.004], [17969, 0.018], [17970, 0.002], + [17972, 0.017], [17973, 0.002], [18002, 0.187], [18003, 0.06], + [18005, 0.048], [18006, 0.068], [18007, 0.046], [18008, 0.079], + [18009, 0.062], [18010, 0.047], [18011, 0.039], [18012, 0.038], + [18013, 0.084], [18014, 0.018], [18019, 0.141], [18020, 0.108], + [18021, 0.105], [18022, 0.093], [18023, 0.033], [18024, 0.141], + [18025, 0.135], [18026, 0.138], [18027, 0.133], [18028, 0.134], + [18029, 0.173], [18030, 0.174], [18031, 0.154], [18032, 0.147], + [18033, 0.145], [18035, 0.045], [18036, 0.134], [18037, 0.082], + [18057, 0.053], [18074, 0.425], [18075, 0.315], [18076, 0.293], + [18077, 0.272], [18078, 0.274], [18079, 0.259], [18080, 0.202], + [18081, 0.188], [18082, 0.31], [18083, 0.192], [18084, 0.363], + [18085, 0.436], [18086, 0.357], [18087, 0.364], [18088, 0.334], + [18089, 0.245], [18090, 0.163], [18110, 0.499], [18111, 0.531], + [18112, 0.555], [18113, 0.55], [18114, 0.544], [18115, 0.302], + [18116, 0.25], [18117, 0.188], [18118, 0.334], [18119, 0.219], + [18120, 0.526], [18121, 0.411], [18122, 0.377], [18123, 0.387], + [18124, 0.384], [18125, 0.538], [18126, 0.156], [18132, 0.22], + [18135, 0.062], [18136, 0.125], [18138, 0.031], [18145, 0.094], + [18146, 0.351], [18147, 0.451], [18148, 0.54], [18149, 0.473], + [18150, 0.405], [18151, 0.211], [18152, 0.208], [18153, 0.159], + [18154, 0.205], [18155, 0.185], [18156, 0.402], [18157, 0.289], + [18158, 0.243], [18159, 0.216], [18160, 0.221], [18161, 0.338], + [18162, 0.134], [18166, 0.068], [18167, 0.135], [18168, 0.27], + [18171, 0.053], [18172, 0.108], [18174, 0.026], [18180, 0.203], + [18181, 0.08], [18182, 0.249], [18183, 0.28], [18184, 0.326], + [18185, 0.285], [18186, 0.244], [18187, 0.089], [18188, 0.101], + [18189, 0.076], [18190, 0.098], [18191, 0.089], [18192, 0.257], + [18193, 0.205], [18194, 0.162], [18195, 0.148], [18196, 0.173], + [18197, 0.204], [18198, 0.064], [18202, 0.041], [18203, 0.081], + [18204, 0.163], [18207, 0.025], [18208, 0.051], [18210, 0.013], + [18216, 0.122], [18217, 0.038], [18218, 0.078], [18219, 0.142], + [18220, 0.195], [18221, 0.171], [18222, 0.147], [18223, 0.025], + [18224, 0.022], [18225, 0.016], [18226, 0.024], [18227, 0.019], + [18228, 0.114], [18229, 0.052], [18230, 0.036], [18231, 0.018], + [18232, 0.022], [18233, 0.122], [18234, 0.013], [18238, 0.024], + [18239, 0.049], [18240, 0.098], [18244, 0.011], [18252, 0.073], + [18253, 0.008], [18254, 0.046], [18255, 0.047], [18256, 0.052], + [18257, 0.046], [18258, 0.039], [18259, 0.011], [18260, 0.008], + [18262, 0.01], [18263, 0.007], [18264, 0.047], [18265, 0.036], + [18266, 0.023], [18267, 0.008], [18268, 0.011], [18269, 0.033], + [18274, 0.007], [18275, 0.013], [18276, 0.026], [18288, 0.02], + [18291, 0.012], [18292, 0.02], [18293, 0.017], [18294, 0.015], + [18300, 0.009], [18305, 0.012], [18312, 0.01], [18324, 0.007], + [19084, 0.009] + ], + "risorius03.L": [ + [6936, 0.007], [6937, 0.004], [6939, 0.156], [6958, 0.066], + [6959, 0.108], [6960, 0.203], [6961, 0.008], [6962, 0.007], + [6963, 0.01], [6964, 0.015], [6965, 0.008], [6967, 0.119], + [6968, 0.498], [6969, 0.015], [6970, 0.015], [6971, 0.02], + [6972, 0.074], [6985, 0.031], [6986, 0.015], [6988, 0.432], + [6989, 0.021], [6990, 0.026], [6991, 0.031], [6992, 0.044], + [6993, 0.148], [6994, 0.529], [7022, 0.06], [7023, 0.03], + [7025, 0.076], [7026, 0.091], [7027, 0.12], [7028, 0.252], + [7029, 0.038], [7030, 0.019], [7032, 0.057], [7036, 0.012], + [7037, 0.034], [7038, 0.068], [7039, 0.204], [7194, 0.004], + [7195, 0.004], [7271, 0.047], [7272, 0.044], [7274, 0.018], + [7284, 0.005], [7286, 0.102], [7287, 0.103], [7288, 0.006], + [7289, 0.051], [7290, 0.031], [7296, 0.012], [7299, 0.009], + [7300, 0.002], [7301, 0.154], [7302, 0.16], [7303, 0.011], + [7304, 0.084], [7305, 0.051], [7311, 0.019], [7314, 0.019], + [7315, 0.003], [7316, 0.211], [7317, 0.226], [7318, 0.022], + [7319, 0.122], [7320, 0.075], [7326, 0.027], [7329, 0.041], + [7330, 0.011], [7331, 0.3], [7332, 0.301], [7333, 0.091], + [7334, 0.166], [7335, 0.037], [7341, 0.014], [7344, 0.021], + [7345, 0.005], [7346, 0.15], [7347, 0.15], [7348, 0.045], + [7349, 0.083], [7350, 0.019], [7356, 0.007], [7359, 0.01], + [7360, 0.003], [7361, 0.075], [7362, 0.075], [7363, 0.023], + [7364, 0.042], [7365, 0.009], [7371, 0.003], [7374, 0.005], + [7375, 0.001], [7376, 0.037], [7377, 0.038], [7378, 0.011], + [7379, 0.021], [7380, 0.005], [7386, 0.002], [7440, 0.006], + [7441, 0.029], [7442, 0.003], [7455, 0.449], [7456, 0.406], + [7457, 0.135], [7458, 0.013], [7459, 0.07], [7460, 0.071], + [7461, 0.043], [7462, 0.032], [7463, 0.01], [7564, 0.039], + [7571, 0.049], [7572, 0.023], [7573, 0.04], [7574, 0.1], + [7575, 0.008], [7593, 0.017], [7594, 0.062], [7595, 0.086], + [7596, 0.14], [7597, 0.146], [7603, 0.229], [7604, 0.354], + [7605, 0.057], [7606, 0.037], [7607, 0.216], [7608, 0.115], + [7609, 0.163], [7610, 0.237], [7611, 0.003], [7612, 0.332], + [7613, 0.055], [7614, 0.147], [7617, 0.091], [7619, 0.015], + [7634, 0.036], [7689, 0.005], [7690, 0.007], [7691, 0.028], + [7692, 0.036], [7693, 0.021], [7694, 0.016], [7695, 0.035], + [10363, 0.01], [10364, 0.021], [10365, 0.04], [10366, 0.053], + [10376, 0.003], [10377, 0.031], [10378, 0.079], [10379, 0.126], + [10380, 0.182], [10381, 0.238], [10382, 0.119], [10383, 0.059], + [10384, 0.03], [10391, 0.024], [10392, 0.049], [10393, 0.098], + [10394, 0.195], [10395, 0.116], [10396, 0.082], [10397, 0.053], + [10398, 0.023], [10399, 0.002], [10408, 0.038], [10409, 0.012], + [10410, 0.006], [11667, 0.544], [11675, 0.338], [11676, 0.403], + [11677, 0.52], [11678, 0.208], [11681, 0.688], [11682, 0.616], + [11683, 0.189], [11684, 0.201], [11701, 0.07], [11702, 0.042], + [11704, 0.084], [11705, 0.012], [11706, 0.184], [11707, 0.12], + [11712, 0.045], [11713, 0.07], [11714, 0.021], [11715, 0.03], + [11747, 0.006], [11748, 0.614], [11754, 0.168], [11755, 0.201], + [11761, 0.369], [11762, 0.425], [11764, 0.622], [11765, 0.712], + [11766, 0.685], [11767, 0.65], [11768, 0.622], [11782, 0.121], + [11783, 0.069], [11784, 0.019], [11785, 0.26], [11786, 0.181], + [11787, 0.495], [11788, 0.58], [11789, 0.521], [11790, 0.308], + [11791, 0.362], [11792, 0.31], [11793, 0.195], [11794, 0.206], + [11795, 0.178], [11796, 0.115], [11797, 0.115], [11798, 0.097], + [11799, 0.075], [11800, 0.063], [11801, 0.052], [11806, 0.02], + [11809, 0.003], [11810, 0.002], [11812, 0.083], [11813, 0.043], + [11814, 0.149], [11815, 0.257], [11816, 0.427], [11817, 0.514], + [11818, 0.088], [11819, 0.55], [11820, 0.05], [11822, 0.057], + [11826, 0.032], [11827, 0.007], [11828, 0.133], [11829, 0.12], + [11834, 0.023], [11835, 0.09], [11836, 0.157], [11837, 0.239], + [11844, 0.06], [11845, 0.029], [11846, 0.006], [11847, 0.152], + [11849, 0.299], [11850, 0.299], [11851, 0.239], [11854, 0.102], + [11855, 0.002], [11856, 0.014], [11857, 0.24], [11858, 0.253], + [11859, 0.233], [11860, 0.067], [11861, 0.117], [11862, 0.041], + [11863, 0.057], [11864, 0.008], [11865, 0.018], [11870, 0.012], + [11871, 0.023], [11872, 0.047], [11892, 0.386], [11893, 0.592], + [11894, 0.345], [11895, 0.483], [11896, 0.359], [11901, 0.022], + [11902, 0.101], [11903, 0.18], [11904, 0.281], [11905, 0.421], + [11906, 0.562], [11907, 0.683], [11908, 0.101], [11909, 0.684], + [11910, 0.644], [11911, 0.027], [11912, 0.012], [11926, 0.209], + [11927, 0.701], [11928, 0.643], [11929, 0.554], [11930, 0.365], + [11931, 0.209], [11932, 0.117], [11933, 0.07], [11935, 0.608], + [11936, 0.398], [11937, 0.706], [12001, 0.01], [12005, 0.051], + [12010, 0.023], [12011, 0.045], [12012, 0.007], [12013, 0.023], + [12014, 0.01], [12015, 0.006], [12020, 0.033], [12023, 0.027], + [12024, 0.014], [12025, 0.019], [12026, 0.023], [12029, 0.01], + [12032, 0.038], [12033, 0.039], [12034, 0.007], [12035, 0.014], + [12036, 0.009], [12042, 0.026], [12045, 0.029], [12046, 0.013], + [12047, 0.016], [12048, 0.023], [12054, 0.037], [12055, 0.032], + [12057, 0.017], [12064, 0.022], [12067, 0.033], [12068, 0.009], + [12069, 0.016], [12070, 0.02], [12076, 0.036], [12077, 0.018], + [12079, 0.02], [12085, 0.009], [12086, 0.027], [12089, 0.031], + [12090, 0.009], [12091, 0.012], [12092, 0.018], [12098, 0.031], + [12099, 0.023], [12101, 0.019], [12102, 0.01], [12107, 0.008], + [12108, 0.036], [12111, 0.026], [12112, 0.014], [12113, 0.017], + [12114, 0.021], [12116, 0.036], [12120, 0.026], [12121, 0.021], + [12124, 0.023], [12125, 0.023], [12131, 0.02], [12132, 0.016], + [12133, 0.014], [12134, 0.023], [12137, 0.034], [12138, 0.009], + [12142, 0.007], [12163, 0.022], [12164, 0.008], [12165, 0.02], + [12167, 0.027], [12169, 0.022], [12171, 0.022], [12173, 0.012], + [12174, 0.018], [12175, 0.009], [12176, 0.021], [12178, 0.028], + [12179, 0.022], [12182, 0.014], [12183, 0.009], [12184, 0.036], + [12188, 0.008], [12189, 0.028], [12190, 0.019], [12197, 0.026], + [12199, 0.024], [12202, 0.015], [12203, 0.017], [12204, 0.014], + [12205, 0.008], [12207, 0.033], [12209, 0.014], [12210, 0.018], + [12212, 0.02], [12213, 0.02], [12218, 0.007], [12220, 0.009], + [12221, 0.016], [12223, 0.007], [12224, 0.017], [12228, 0.018], + [12229, 0.015], [12231, 0.007], [12235, 0.024], [12236, 0.022], + [12237, 0.011], [12239, 0.014], [12240, 0.009], [12243, 0.009], + [12244, 0.019], [12246, 0.012], [12247, 0.021], [12248, 0.01], + [12249, 0.014], [12251, 0.007], [12252, 0.017], [12258, 0.032], + [12259, 0.013], [12260, 0.019], [12261, 0.011], [12262, 0.012], + [12267, 0.014], [12270, 0.016], [12271, 0.01], [12272, 0.012], + [12273, 0.011], [12274, 0.014], [12275, 0.012], [12276, 0.017], + [12277, 0.007], [12279, 0.007], [12282, 0.011], [12283, 0.009], + [12284, 0.013], [12285, 0.015], [12286, 0.012], [12287, 0.018], + [12288, 0.008], [12289, 0.01], [12290, 0.009], [12295, 0.006], + [12296, 0.029], [12298, 0.009], [12300, 0.008], [12301, 0.016], + [12306, 0.018], [12308, 0.01], [12309, 0.027], [12312, 0.03], + [12315, 0.007], [12316, 0.024], [12318, 0.026], [12323, 0.007], + [12324, 0.048], [12325, 0.039], [12328, 0.031], [12329, 0.013], + [12331, 0.006], [12332, 0.036], [12333, 0.025], [12335, 0.018], + [12336, 0.022], [12338, 0.013], [12339, 0.008], [12341, 0.009], + [12342, 0.024], [12343, 0.009], [12347, 0.048], [12349, 0.023], + [12351, 0.021], [12352, 0.016], [12356, 0.036], [12358, 0.037], + [12360, 0.029], [12362, 0.02], [12364, 0.012], [12365, 0.059], + [12366, 0.022] + ], + "risorius03.R": [ + [158, 0.007], [159, 0.004], [161, 0.156], [182, 0.066], + [183, 0.108], [184, 0.203], [185, 0.008], [186, 0.007], + [187, 0.01], [188, 0.015], [189, 0.008], [191, 0.119], + [192, 0.498], [193, 0.015], [194, 0.015], [195, 0.02], + [196, 0.074], [210, 0.031], [211, 0.015], [213, 0.432], + [214, 0.021], [215, 0.026], [216, 0.031], [217, 0.044], + [218, 0.148], [219, 0.529], [253, 0.06], [254, 0.03], + [256, 0.076], [257, 0.091], [258, 0.12], [259, 0.252], + [260, 0.038], [261, 0.019], [263, 0.057], [267, 0.012], + [268, 0.034], [269, 0.068], [270, 0.204], [434, 0.004], + [435, 0.004], [526, 0.047], [527, 0.044], [529, 0.018], + [541, 0.005], [543, 0.102], [544, 0.103], [545, 0.006], + [546, 0.051], [547, 0.031], [553, 0.012], [558, 0.009], + [559, 0.002], [560, 0.154], [561, 0.16], [562, 0.011], + [563, 0.084], [564, 0.051], [570, 0.019], [575, 0.019], + [576, 0.003], [577, 0.211], [578, 0.226], [579, 0.022], + [580, 0.122], [581, 0.075], [587, 0.027], [592, 0.041], + [593, 0.011], [594, 0.3], [595, 0.301], [596, 0.091], + [597, 0.166], [598, 0.037], [604, 0.014], [609, 0.021], + [610, 0.005], [611, 0.15], [612, 0.15], [613, 0.045], + [614, 0.083], [615, 0.019], [621, 0.007], [626, 0.01], + [627, 0.003], [628, 0.075], [629, 0.075], [630, 0.023], + [631, 0.042], [632, 0.009], [638, 0.003], [643, 0.005], + [644, 0.001], [645, 0.037], [646, 0.038], [647, 0.011], + [648, 0.021], [649, 0.005], [655, 0.002], [717, 0.006], + [718, 0.029], [719, 0.003], [735, 0.449], [736, 0.406], + [737, 0.135], [738, 0.013], [739, 0.07], [740, 0.071], + [741, 0.043], [742, 0.032], [743, 0.01], [859, 0.039], + [866, 0.049], [867, 0.023], [868, 0.04], [869, 0.1], + [870, 0.008], [891, 0.017], [892, 0.062], [893, 0.086], + [894, 0.14], [895, 0.146], [901, 0.229], [902, 0.354], + [903, 0.057], [904, 0.037], [905, 0.216], [906, 0.115], + [907, 0.163], [908, 0.237], [909, 0.003], [910, 0.332], + [911, 0.055], [912, 0.147], [915, 0.091], [917, 0.015], + [932, 0.036], [995, 0.005], [996, 0.007], [997, 0.028], + [998, 0.036], [999, 0.021], [1000, 0.016], [1001, 0.035], + [3695, 0.01], [3696, 0.021], [3697, 0.04], [3698, 0.053], + [3708, 0.003], [3709, 0.031], [3710, 0.079], [3711, 0.126], + [3712, 0.182], [3713, 0.238], [3714, 0.119], [3715, 0.059], + [3716, 0.03], [3723, 0.024], [3724, 0.049], [3725, 0.098], + [3726, 0.195], [3727, 0.116], [3728, 0.082], [3729, 0.053], + [3730, 0.023], [3731, 0.002], [3740, 0.038], [3741, 0.012], + [3742, 0.006], [5049, 0.544], [5058, 0.338], [5059, 0.403], + [5060, 0.52], [5061, 0.208], [5065, 0.688], [5066, 0.616], + [5067, 0.189], [5068, 0.201], [5086, 0.07], [5087, 0.042], + [5089, 0.084], [5090, 0.012], [5091, 0.184], [5092, 0.12], + [5097, 0.045], [5098, 0.07], [5099, 0.021], [5100, 0.03], + [5132, 0.006], [5133, 0.614], [5140, 0.168], [5141, 0.201], + [5147, 0.369], [5148, 0.425], [5150, 0.622], [5151, 0.712], + [5152, 0.685], [5153, 0.65], [5154, 0.622], [5169, 0.121], + [5170, 0.069], [5172, 0.019], [5173, 0.26], [5174, 0.181], + [5175, 0.495], [5176, 0.58], [5177, 0.521], [5178, 0.308], + [5179, 0.362], [5180, 0.31], [5181, 0.195], [5182, 0.206], + [5183, 0.178], [5184, 0.115], [5185, 0.115], [5186, 0.097], + [5187, 0.075], [5188, 0.063], [5189, 0.052], [5195, 0.02], + [5198, 0.003], [5199, 0.002], [5201, 0.083], [5202, 0.043], + [5203, 0.149], [5204, 0.257], [5205, 0.427], [5206, 0.514], + [5207, 0.088], [5208, 0.55], [5209, 0.05], [5212, 0.057], + [5216, 0.032], [5217, 0.007], [5218, 0.133], [5219, 0.12], + [5224, 0.023], [5226, 0.09], [5227, 0.157], [5228, 0.239], + [5235, 0.06], [5236, 0.029], [5237, 0.006], [5238, 0.152], + [5240, 0.299], [5241, 0.299], [5242, 0.239], [5246, 0.102], + [5247, 0.002], [5248, 0.014], [5249, 0.24], [5250, 0.253], + [5251, 0.233], [5252, 0.067], [5253, 0.117], [5254, 0.041], + [5255, 0.057], [5256, 0.008], [5257, 0.018], [5262, 0.012], + [5263, 0.023], [5264, 0.047], [5286, 0.386], [5287, 0.592], + [5288, 0.345], [5289, 0.483], [5290, 0.359], [5295, 0.022], + [5297, 0.101], [5298, 0.18], [5299, 0.281], [5300, 0.421], + [5301, 0.562], [5302, 0.683], [5303, 0.101], [5304, 0.684], + [5305, 0.644], [5306, 0.027], [5307, 0.012], [5322, 0.209], + [5323, 0.701], [5324, 0.643], [5325, 0.554], [5326, 0.365], + [5327, 0.209], [5328, 0.117], [5329, 0.07], [5331, 0.608], + [5332, 0.398], [5333, 0.706], [5402, 0.01], [5406, 0.051], + [5411, 0.023], [5412, 0.045], [5413, 0.007], [5414, 0.023], + [5415, 0.01], [5416, 0.006], [5421, 0.033], [5424, 0.027], + [5425, 0.014], [5426, 0.019], [5427, 0.023], [5430, 0.01], + [5433, 0.038], [5434, 0.039], [5435, 0.007], [5436, 0.014], + [5437, 0.009], [5443, 0.026], [5446, 0.029], [5447, 0.013], + [5448, 0.016], [5449, 0.023], [5455, 0.037], [5456, 0.032], + [5458, 0.017], [5465, 0.022], [5468, 0.033], [5469, 0.009], + [5470, 0.016], [5471, 0.02], [5477, 0.036], [5478, 0.018], + [5480, 0.02], [5486, 0.009], [5487, 0.027], [5490, 0.031], + [5491, 0.009], [5492, 0.012], [5493, 0.018], [5499, 0.031], + [5500, 0.023], [5502, 0.019], [5503, 0.01], [5508, 0.008], + [5509, 0.036], [5512, 0.026], [5513, 0.014], [5514, 0.017], + [5515, 0.021], [5517, 0.036], [5521, 0.026], [5522, 0.021], + [5525, 0.023], [5526, 0.023], [5532, 0.02], [5533, 0.016], + [5534, 0.014], [5535, 0.023], [5538, 0.034], [5539, 0.009], + [5543, 0.007], [5566, 0.022], [5567, 0.008], [5568, 0.02], + [5570, 0.027], [5572, 0.022], [5574, 0.022], [5576, 0.012], + [5577, 0.018], [5578, 0.009], [5579, 0.021], [5581, 0.028], + [5582, 0.022], [5585, 0.014], [5586, 0.009], [5587, 0.036], + [5591, 0.008], [5592, 0.028], [5593, 0.019], [5600, 0.026], + [5602, 0.024], [5605, 0.015], [5606, 0.017], [5607, 0.014], + [5608, 0.008], [5610, 0.033], [5612, 0.014], [5613, 0.018], + [5615, 0.02], [5616, 0.02], [5621, 0.007], [5623, 0.009], + [5624, 0.016], [5626, 0.007], [5627, 0.017], [5631, 0.018], + [5632, 0.015], [5634, 0.007], [5638, 0.024], [5639, 0.022], + [5640, 0.011], [5642, 0.014], [5643, 0.009], [5646, 0.009], + [5647, 0.019], [5649, 0.012], [5650, 0.021], [5651, 0.01], + [5652, 0.014], [5654, 0.007], [5655, 0.017], [5661, 0.032], + [5662, 0.013], [5663, 0.019], [5664, 0.011], [5665, 0.012], + [5670, 0.014], [5673, 0.016], [5674, 0.01], [5675, 0.012], + [5676, 0.011], [5677, 0.014], [5678, 0.012], [5679, 0.017], + [5680, 0.007], [5682, 0.007], [5685, 0.011], [5686, 0.009], + [5687, 0.013], [5688, 0.015], [5689, 0.012], [5690, 0.018], + [5691, 0.008], [5692, 0.01], [5693, 0.009], [5698, 0.006], + [5699, 0.029], [5701, 0.009], [5703, 0.008], [5704, 0.016], + [5709, 0.018], [5711, 0.01], [5712, 0.027], [5715, 0.03], + [5718, 0.007], [5719, 0.024], [5721, 0.026], [5726, 0.007], + [5727, 0.048], [5728, 0.039], [5731, 0.031], [5732, 0.013], + [5734, 0.006], [5735, 0.036], [5736, 0.025], [5738, 0.018], + [5739, 0.022], [5741, 0.013], [5742, 0.008], [5744, 0.009], + [5745, 0.024], [5746, 0.009], [5750, 0.048], [5752, 0.023], + [5754, 0.021], [5755, 0.016], [5759, 0.036], [5761, 0.037], + [5763, 0.029], [5765, 0.02], [5767, 0.012], [5768, 0.059], + [5769, 0.022] + ], + "root": [ + [13622, 1.0], [13623, 1.0], [13624, 1.0], [13625, 1.0], + [13626, 1.0], [13627, 1.0], [13628, 1.0], [13629, 1.0], + [19150, 1.0], [19151, 1.0], [19152, 1.0], [19153, 1.0], + [19154, 1.0], [19155, 1.0], [19156, 1.0], [19157, 1.0] + ], + "shoulder01.L": [ + [1399, 0.007], [7468, 0.001], [7470, 0.002], [7472, 0.004], + [7474, 0.008], [7476, 0.016], [7477, 0.016], [7478, 0.032], + [7479, 0.032], [7482, 0.001], [7483, 0.001], [7484, 0.003], + [7485, 0.003], [7486, 0.005], [7487, 0.006], [7488, 0.011], + [7489, 0.011], [7490, 0.021], [7491, 0.023], [7492, 0.042], + [7493, 0.045], [7495, 0.005], [7496, 0.011], [7497, 0.022], + [7498, 0.044], [7507, 0.001], [7511, 0.002], [7512, 0.002], + [7514, 0.001], [7516, 0.001], [7517, 0.005], [7519, 0.002], + [7522, 0.01], [7524, 0.004], [7525, 0.001], [7527, 0.019], + [7528, 0.001], [7529, 0.002], [7530, 0.004], [7531, 0.008], + [7532, 0.015], [7533, 0.031], [7535, 0.002], [7536, 0.003], + [7537, 0.006], [7538, 0.012], [7539, 0.023], [7541, 0.001], + [7542, 0.002], [7543, 0.005], [7544, 0.01], [7545, 0.02], + [7548, 0.001], [7549, 0.003], [7550, 0.005], [7551, 0.011], + [7557, 0.001], [7630, 0.005], [7631, 0.009], [7632, 0.019], + [7633, 0.037], [7725, 0.001], [7726, 0.001], [7727, 0.003], + [7728, 0.002], [8047, 0.06], [8048, 0.051], [8049, 0.092], + [8050, 0.139], [8051, 0.164], [8052, 0.098], [8053, 0.036], + [8054, 0.018], [8057, 0.191], [8058, 0.134], [8059, 0.159], + [8060, 0.279], [8061, 0.322], [8062, 0.19], [8063, 0.07], + [8064, 0.035], [8067, 0.284], [8068, 0.273], [8069, 0.248], + [8070, 0.296], [8071, 0.25], [8072, 0.156], [8073, 0.064], + [8074, 0.032], [8077, 0.259], [8078, 0.266], [8079, 0.259], + [8080, 0.226], [8081, 0.154], [8082, 0.109], [8083, 0.054], + [8084, 0.027], [8087, 0.228], [8088, 0.26], [8089, 0.271], + [8090, 0.156], [8091, 0.101], [8092, 0.022], [8093, 0.032], + [8094, 0.042], [8095, 0.039], [8096, 0.03], [8097, 0.011], + [8098, 0.005], [8099, 0.003], [8102, 0.01], [8103, 0.012], + [8104, 0.02], [8105, 0.027], [8106, 0.022], [8107, 0.007], + [8108, 0.003], [8109, 0.002], [8112, 0.005], [8113, 0.006], + [8114, 0.01], [8115, 0.013], [8116, 0.012], [8117, 0.004], + [8118, 0.036], [8119, 0.048], [8120, 0.059], [8121, 0.061], + [8122, 0.051], [8123, 0.032], [8124, 0.023], [8125, 0.011], + [8128, 0.016], [8129, 0.025], [8130, 0.034], [8131, 0.034], + [8132, 0.022], [8133, 0.014], [8134, 0.007], [8135, 0.004], + [8138, 0.096], [8139, 0.1], [8140, 0.179], [8141, 0.227], + [8142, 0.274], [8143, 0.012], [8144, 0.003], [8145, 0.002], + [8146, 0.05], [8147, 0.006], [8148, 0.014], [8150, 0.09], + [8151, 0.104], [8152, 0.104], [8155, 0.002], [8156, 0.032], + [8157, 0.094], [8158, 0.052], [8161, 0.025], [8162, 0.004], + [8163, 0.007], [8164, 0.146], [8165, 0.167], [8166, 0.18], + [8167, 0.203], [8168, 0.221], [8169, 0.163], [8170, 0.166], + [8171, 0.146], [8172, 0.12], [8173, 0.106], [8174, 0.056], + [8175, 0.013], [8176, 0.003], [8182, 0.005], [8183, 0.028], + [8184, 0.052], [8185, 0.06], [8186, 0.014], [8187, 0.078], + [8188, 0.083], [8189, 0.084], [8190, 0.027], [8191, 0.014], + [8192, 0.026], [8193, 0.05], [8195, 0.048], [8196, 0.11], + [8197, 0.093], [8198, 0.01], [8199, 0.041], [8200, 0.02], + [8201, 0.174], [8202, 0.21], [8203, 0.214], [8204, 0.232], + [8207, 0.013], [8208, 0.014], [8209, 0.007], [8214, 0.014], + [8215, 0.027], [8216, 0.055], [8220, 0.053], [8221, 0.119], + [8222, 0.179], [8223, 0.219], [8224, 0.203], [8225, 0.227], + [8226, 0.243], [8230, 0.074], [8231, 0.146], [8232, 0.212], + [8233, 0.27], [8234, 0.226], [8235, 0.252], [8236, 0.266], + [8237, 0.214], [8238, 0.138], [8239, 0.1], [8240, 0.004], + [8241, 0.002], [8242, 0.001], [8243, 0.174], [8244, 0.131], + [8245, 0.095], [8246, 0.002], [8247, 0.001], [8249, 0.084], + [8250, 0.105], [8251, 0.075], [8273, 0.25], [8274, 0.245], + [8275, 0.228], [8276, 0.196], [8277, 0.223], [8278, 0.201], + [8279, 0.168], [8280, 0.082], [8281, 0.203], [8282, 0.18], + [8283, 0.186], [8284, 0.04], [8285, 0.018], [8287, 0.176], + [8288, 0.155], [8289, 0.1], [8290, 0.011], [8291, 0.194], + [8292, 0.189], [8293, 0.146], [8294, 0.011], [8297, 0.117], + [8298, 0.081], [8299, 0.043], [8300, 0.012], [8301, 0.116], + [8302, 0.114], [8303, 0.021], [8304, 0.045], [8305, 0.007], + [8307, 0.086], [8308, 0.055], [8309, 0.033], [8310, 0.008], + [8311, 0.088], [8312, 0.09], [8313, 0.011], [8314, 0.044], + [8315, 0.026], [8316, 0.053], [8317, 0.037], [8318, 0.022], + [8319, 0.004], [8320, 0.06], [8321, 0.063], [8322, 0.006], + [8323, 0.032], [8324, 0.018], [8325, 0.007], [8326, 0.026], + [8327, 0.019], [8328, 0.011], [8329, 0.002], [8330, 0.029], + [8331, 0.03], [8332, 0.003], [8333, 0.016], [8334, 0.009], + [8335, 0.007], [8336, 0.027], [8337, 0.013], [8338, 0.03], + [8339, 0.148], [8340, 0.022], [8341, 0.056], [8342, 0.014], + [8343, 0.118], [8344, 0.146], [8345, 0.144], [8346, 0.043], + [8347, 0.029], [8348, 0.03], [8349, 0.009], [8350, 0.019], + [8351, 0.037], [8352, 0.04], [8353, 0.025], [8356, 0.005], + [8357, 0.14], [8358, 0.114], [8359, 0.076], [8360, 0.037], + [8361, 0.157], [10355, 0.069], [10356, 0.028], [10357, 0.014], + [10358, 0.007], [10359, 0.004], [10360, 0.002], [10418, 0.133], + [10419, 0.192], [10420, 0.243], [10421, 0.29], [10422, 0.235], + [10423, 0.116], [10424, 0.06], [10425, 0.041], [10426, 0.041], + [10427, 0.034], [10428, 0.024], [10429, 0.012], [10441, 0.084], + [10442, 0.057], [10443, 0.043], [10447, 0.122], [10448, 0.123], + [10449, 0.103], [10450, 0.067], [10451, 0.033], [10452, 0.124], + [10453, 0.111], [10503, 0.031], [10504, 0.023], [10505, 0.012], + [10509, 0.113], [10510, 0.106], [10511, 0.086], [10512, 0.049], + [10513, 0.024], [10514, 0.109], [10536, 0.064], [14046, 1.0], + [14047, 1.0], [14048, 1.0], [14049, 1.0], [14050, 1.0], + [14051, 1.0], [14052, 1.0], [14053, 1.0], [16860, 0.082], + [16861, 0.096], [16862, 0.127], [16863, 0.045], [16865, 0.011], + [16867, 0.134], [16868, 0.11], [16869, 0.141], [16870, 0.07], + [16872, 0.017], [16874, 0.131], [16875, 0.131], [16876, 0.108], + [16877, 0.057], [16879, 0.016], [16881, 0.121], [16882, 0.126], + [16883, 0.059], [16884, 0.036], [16885, 0.011], [16892, 0.003], + [16893, 0.006], [16894, 0.009], [16896, 0.002], [16897, 0.002], + [16898, 0.044], [16899, 0.031], [16900, 0.053], [16901, 0.017], + [16903, 0.005], [16905, 0.007], [16906, 0.014], [16907, 0.014], + [16908, 0.004], [16910, 0.002], [16912, 0.003], [16919, 0.003], + [16920, 0.064], [16921, 0.078], [16922, 0.084], [16923, 0.095], + [16925, 0.096], [16926, 0.102], [16927, 0.102], [16928, 0.113], + [16929, 0.077], [16930, 0.002], [16932, 0.075], [16935, 0.032], + [16944, 0.115], [16945, 0.119], [16946, 0.115], [16947, 0.126], + [16948, 0.113], [16949, 0.123], [16950, 0.119], [16951, 0.112], + [16953, 0.089], [16954, 0.005], [16956, 0.096], [16957, 0.097], + [16958, 0.084], [16959, 0.047], [16960, 0.095], [16962, 0.017], + [16963, 0.001], [16965, 0.045], [16966, 0.033], [16967, 0.019], + [16968, 0.006], [16969, 0.043], [16971, 0.019], [16972, 0.005], + [16973, 0.023], [16974, 0.017], [16975, 0.01], [16976, 0.002], + [16977, 0.025], [16978, 0.013], [16979, 0.003], [16980, 0.005], + [16981, 0.004], [16982, 0.003], [16984, 0.006], [16985, 0.003], + [16987, 0.006], [16990, 0.065], [16991, 0.036], [16992, 0.008], + [16993, 0.06], [16994, 0.067], [16995, 0.018], [16996, 0.017], + [16998, 0.005], [16999, 0.018], [17062, 0.101], [17063, 0.034], + [17064, 0.1], [17193, 0.087], [17194, 0.116], [17195, 0.14], + [17196, 0.121], [17197, 0.056], [17198, 0.022], [17199, 0.017], + [17200, 0.01], [17201, 0.002], [17209, 0.021], [17210, 0.016], + [17211, 0.009], [17218, 0.026], [17222, 0.038], [17223, 0.014], + [17224, 0.005], [17228, 0.025], [17229, 0.045], [17230, 0.047], + [17231, 0.062], [17235, 0.048], [17236, 0.026], [17237, 0.008], + [17238, 0.061], [17764, 0.068], [17767, 0.009], [17768, 0.073], + [17769, 0.066], [17770, 0.064], [17771, 0.046], [17791, 0.061], + [17809, 0.013], [17810, 0.011], [17812, 0.005], [17816, 0.01], + [17884, 0.005], [17885, 0.044], [17886, 0.027], [17890, 0.004], + [17891, 0.021], [17892, 0.014], [17896, 0.001], [17897, 0.009], + [17898, 0.005], [17903, 0.005], [17904, 0.003], [17909, 0.004], + [17910, 0.003], [17913, 0.018], [17914, 0.059], [17915, 0.044], + [17918, 0.01], [17919, 0.029], [17920, 0.026], [17923, 0.007], + [17924, 0.017], [17925, 0.014], [17928, 0.005], [17929, 0.008], + [17930, 0.008], [17933, 0.004], [17935, 0.005], [17937, 0.05], + [17938, 0.042], [17939, 0.038], [17940, 0.024], [17941, 0.022], + [17942, 0.021], [17943, 0.012], [17944, 0.012], [17945, 0.01], + [17948, 0.006], [17951, 0.005], [18774, 0.016], [18775, 0.046], + [18776, 0.023], [18777, 0.068], [18778, 0.008], [18779, 0.015], + [18821, 0.06], [18823, 0.124], [18825, 0.154], [18827, 0.169], + [18829, 0.081], [18854, 0.113], [18855, 0.005], [18856, 0.309], + [18857, 0.02], [18858, 0.353], [18859, 0.049], [18860, 0.262], + [18861, 0.089], [18862, 0.085], [18918, 0.003], [18920, 0.014], + [18922, 0.039], [18924, 0.087], [18988, 0.016], [18989, 0.046], + [18990, 0.023], [18991, 0.068], [19035, 0.06], [19037, 0.124], + [19039, 0.154], [19041, 0.169], [19043, 0.081], [19068, 0.113], + [19069, 0.005], [19070, 0.309], [19071, 0.02], [19132, 0.003], + [19134, 0.014] + ], + "shoulder01.R": [ + [749, 0.001], [751, 0.002], [753, 0.004], [755, 0.008], + [757, 0.016], [758, 0.016], [759, 0.032], [760, 0.032], + [763, 0.001], [764, 0.001], [765, 0.003], [766, 0.003], + [767, 0.005], [768, 0.006], [769, 0.011], [770, 0.011], + [771, 0.021], [772, 0.023], [773, 0.042], [774, 0.045], + [776, 0.005], [777, 0.011], [778, 0.022], [779, 0.044], + [792, 0.001], [796, 0.002], [798, 0.002], [800, 0.001], + [802, 0.001], [804, 0.005], [806, 0.002], [810, 0.01], + [812, 0.004], [813, 0.001], [816, 0.019], [817, 0.001], + [818, 0.002], [819, 0.004], [820, 0.008], [821, 0.015], + [822, 0.031], [824, 0.002], [825, 0.003], [826, 0.006], + [827, 0.012], [828, 0.023], [830, 0.001], [831, 0.002], + [832, 0.005], [833, 0.01], [834, 0.02], [837, 0.001], + [838, 0.003], [839, 0.005], [840, 0.011], [846, 0.001], + [928, 0.005], [929, 0.009], [930, 0.019], [931, 0.037], + [1033, 0.001], [1034, 0.001], [1035, 0.003], [1036, 0.002], + [1355, 0.06], [1356, 0.051], [1357, 0.092], [1358, 0.139], + [1359, 0.164], [1360, 0.098], [1361, 0.036], [1362, 0.018], + [1365, 0.191], [1366, 0.134], [1367, 0.159], [1368, 0.279], + [1369, 0.322], [1370, 0.19], [1371, 0.07], [1372, 0.035], + [1375, 0.284], [1376, 0.273], [1377, 0.248], [1378, 0.296], + [1379, 0.25], [1380, 0.156], [1381, 0.064], [1382, 0.032], + [1385, 0.259], [1386, 0.266], [1387, 0.259], [1388, 0.226], + [1389, 0.154], [1390, 0.109], [1391, 0.054], [1392, 0.027], + [1395, 0.228], [1396, 0.26], [1397, 0.271], [1398, 0.156], + [1399, 0.007], [1403, 0.101], [1404, 0.022], [1405, 0.032], + [1406, 0.042], [1407, 0.039], [1408, 0.03], [1409, 0.011], + [1410, 0.005], [1411, 0.003], [1414, 0.01], [1415, 0.012], + [1416, 0.02], [1417, 0.027], [1418, 0.022], [1419, 0.007], + [1420, 0.003], [1421, 0.002], [1424, 0.005], [1425, 0.006], + [1426, 0.01], [1427, 0.013], [1428, 0.012], [1429, 0.004], + [1430, 0.036], [1431, 0.048], [1432, 0.059], [1433, 0.061], + [1434, 0.051], [1435, 0.032], [1436, 0.023], [1437, 0.011], + [1440, 0.016], [1441, 0.025], [1442, 0.034], [1443, 0.034], + [1444, 0.022], [1445, 0.014], [1446, 0.007], [1447, 0.004], + [1450, 0.096], [1451, 0.1], [1452, 0.179], [1453, 0.227], + [1454, 0.274], [1455, 0.012], [1456, 0.003], [1457, 0.002], + [1458, 0.05], [1459, 0.006], [1460, 0.014], [1462, 0.09], + [1463, 0.104], [1464, 0.104], [1468, 0.002], [1469, 0.032], + [1470, 0.094], [1471, 0.052], [1475, 0.025], [1476, 0.004], + [1477, 0.007], [1478, 0.146], [1479, 0.167], [1480, 0.18], + [1481, 0.203], [1482, 0.221], [1483, 0.163], [1484, 0.166], + [1485, 0.146], [1486, 0.12], [1487, 0.106], [1488, 0.056], + [1489, 0.013], [1490, 0.003], [1498, 0.005], [1499, 0.028], + [1500, 0.052], [1501, 0.06], [1502, 0.014], [1503, 0.078], + [1504, 0.083], [1505, 0.084], [1506, 0.027], [1507, 0.014], + [1508, 0.026], [1509, 0.05], [1511, 0.048], [1512, 0.11], + [1513, 0.093], [1514, 0.01], [1515, 0.041], [1516, 0.02], + [1517, 0.174], [1518, 0.21], [1519, 0.214], [1520, 0.232], + [1525, 0.013], [1527, 0.014], [1529, 0.007], [1534, 0.014], + [1535, 0.027], [1536, 0.055], [1541, 0.053], [1542, 0.119], + [1543, 0.179], [1544, 0.219], [1545, 0.203], [1546, 0.227], + [1547, 0.243], [1552, 0.074], [1553, 0.146], [1554, 0.212], + [1555, 0.27], [1556, 0.226], [1557, 0.252], [1558, 0.266], + [1559, 0.214], [1560, 0.138], [1561, 0.1], [1562, 0.004], + [1563, 0.002], [1564, 0.001], [1565, 0.174], [1566, 0.131], + [1567, 0.095], [1568, 0.002], [1569, 0.001], [1571, 0.084], + [1572, 0.105], [1573, 0.075], [1601, 0.25], [1602, 0.245], + [1603, 0.228], [1604, 0.196], [1605, 0.223], [1606, 0.201], + [1607, 0.168], [1608, 0.082], [1609, 0.203], [1610, 0.18], + [1611, 0.186], [1612, 0.04], [1613, 0.018], [1615, 0.176], + [1616, 0.155], [1617, 0.1], [1618, 0.011], [1619, 0.194], + [1620, 0.189], [1621, 0.146], [1622, 0.011], [1625, 0.117], + [1626, 0.081], [1627, 0.043], [1628, 0.012], [1629, 0.116], + [1630, 0.114], [1631, 0.021], [1632, 0.045], [1633, 0.007], + [1635, 0.086], [1636, 0.055], [1637, 0.033], [1638, 0.008], + [1639, 0.088], [1640, 0.09], [1641, 0.011], [1642, 0.044], + [1643, 0.026], [1644, 0.053], [1645, 0.037], [1646, 0.022], + [1647, 0.004], [1648, 0.06], [1649, 0.063], [1650, 0.006], + [1651, 0.032], [1652, 0.018], [1653, 0.007], [1654, 0.026], + [1655, 0.019], [1656, 0.011], [1657, 0.002], [1658, 0.029], + [1659, 0.03], [1660, 0.003], [1661, 0.016], [1662, 0.009], + [1663, 0.007], [1664, 0.027], [1665, 0.013], [1666, 0.03], + [1667, 0.148], [1668, 0.022], [1669, 0.056], [1670, 0.014], + [1671, 0.118], [1672, 0.146], [1673, 0.144], [1674, 0.043], + [1675, 0.029], [1676, 0.03], [1677, 0.009], [1678, 0.019], + [1679, 0.037], [1680, 0.04], [1681, 0.025], [1684, 0.005], + [1685, 0.14], [1686, 0.114], [1687, 0.076], [1688, 0.037], + [1689, 0.157], [3687, 0.069], [3688, 0.028], [3689, 0.014], + [3690, 0.007], [3691, 0.004], [3692, 0.002], [3751, 0.133], + [3752, 0.192], [3753, 0.243], [3754, 0.29], [3755, 0.235], + [3756, 0.116], [3757, 0.06], [3758, 0.041], [3759, 0.041], + [3760, 0.034], [3761, 0.024], [3762, 0.012], [3774, 0.084], + [3775, 0.057], [3776, 0.043], [3781, 0.122], [3782, 0.123], + [3783, 0.103], [3784, 0.067], [3785, 0.033], [3786, 0.124], + [3787, 0.111], [3837, 0.031], [3838, 0.023], [3839, 0.012], + [3844, 0.113], [3845, 0.106], [3846, 0.086], [3847, 0.049], + [3848, 0.024], [3849, 0.109], [3871, 0.064], [14486, 1.0], + [14487, 1.0], [14488, 1.0], [14489, 1.0], [14490, 1.0], + [14491, 1.0], [14492, 1.0], [14493, 1.0], [15556, 0.082], + [15557, 0.096], [15558, 0.127], [15559, 0.045], [15561, 0.011], + [15563, 0.134], [15564, 0.11], [15565, 0.141], [15566, 0.07], + [15568, 0.017], [15570, 0.131], [15571, 0.131], [15572, 0.108], + [15573, 0.057], [15575, 0.016], [15577, 0.121], [15578, 0.126], + [15579, 0.059], [15580, 0.036], [15581, 0.011], [15588, 0.003], + [15589, 0.006], [15590, 0.009], [15592, 0.002], [15593, 0.002], + [15594, 0.044], [15595, 0.031], [15596, 0.053], [15597, 0.017], + [15599, 0.005], [15601, 0.007], [15602, 0.014], [15603, 0.014], + [15604, 0.004], [15606, 0.002], [15611, 0.064], [15612, 0.078], + [15613, 0.084], [15614, 0.095], [15616, 0.096], [15617, 0.102], + [15618, 0.102], [15619, 0.113], [15620, 0.077], [15621, 0.002], + [15623, 0.075], [15626, 0.032], [15632, 0.115], [15633, 0.119], + [15634, 0.115], [15635, 0.126], [15636, 0.113], [15637, 0.123], + [15638, 0.119], [15639, 0.112], [15641, 0.089], [15642, 0.005], + [15644, 0.096], [15645, 0.097], [15646, 0.084], [15647, 0.047], + [15648, 0.095], [15650, 0.017], [15651, 0.001], [15653, 0.045], + [15654, 0.033], [15655, 0.019], [15656, 0.006], [15657, 0.043], + [15659, 0.019], [15660, 0.005], [15661, 0.023], [15662, 0.017], + [15663, 0.01], [15664, 0.002], [15665, 0.025], [15666, 0.013], + [15667, 0.003], [15668, 0.005], [15669, 0.004], [15670, 0.003], + [15672, 0.006], [15673, 0.003], [15675, 0.006], [15678, 0.065], + [15679, 0.036], [15680, 0.008], [15681, 0.06], [15682, 0.067], + [15683, 0.018], [15684, 0.017], [15686, 0.005], [15687, 0.018], + [15746, 0.101], [15747, 0.034], [15748, 0.1], [15876, 0.087], + [15877, 0.116], [15878, 0.14], [15879, 0.121], [15880, 0.056], + [15881, 0.022], [15882, 0.017], [15883, 0.01], [15884, 0.002], + [15892, 0.021], [15893, 0.016], [15894, 0.009], [15900, 0.026], + [15904, 0.038], [15905, 0.014], [15906, 0.005], [15909, 0.025], + [15910, 0.045], [15911, 0.047], [15912, 0.062], [15916, 0.048], + [15917, 0.026], [15918, 0.008], [15919, 0.061], [16434, 0.068], + [16436, 0.009], [16437, 0.073], [16438, 0.066], [16439, 0.064], + [16440, 0.046], [16459, 0.061], [16475, 0.013], [16476, 0.011], + [16478, 0.005], [16482, 0.01], [16547, 0.005], [16548, 0.044], + [16549, 0.027], [16552, 0.004], [16553, 0.021], [16554, 0.014], + [16557, 0.001], [16558, 0.009], [16559, 0.005], [16563, 0.005], + [16564, 0.003], [16568, 0.004], [16569, 0.003], [16571, 0.018], + [16572, 0.059], [16573, 0.044], [16575, 0.01], [16576, 0.029], + [16577, 0.026], [16579, 0.007], [16580, 0.017], [16581, 0.014], + [16583, 0.005], [16584, 0.008], [16585, 0.008], [16587, 0.004], + [16589, 0.005], [16591, 0.05], [16592, 0.042], [16593, 0.038], + [16594, 0.024], [16595, 0.022], [16596, 0.021], [16597, 0.012], + [16598, 0.012], [16599, 0.01], [16602, 0.006], [16605, 0.005], + [16912, 0.003], [16919, 0.003], [18774, 0.016], [18775, 0.046], + [18776, 0.023], [18777, 0.068], [18821, 0.06], [18823, 0.124], + [18825, 0.154], [18827, 0.169], [18829, 0.081], [18854, 0.113], + [18855, 0.005], [18856, 0.309], [18857, 0.02], [18918, 0.003], + [18920, 0.014], [18988, 0.016], [18989, 0.046], [18990, 0.023], + [18991, 0.068], [18992, 0.008], [18993, 0.015], [19035, 0.06], + [19037, 0.124], [19039, 0.154], [19041, 0.169], [19043, 0.081], + [19068, 0.113], [19069, 0.005], [19070, 0.309], [19071, 0.02], + [19072, 0.353], [19073, 0.049], [19074, 0.262], [19075, 0.089], + [19076, 0.085], [19132, 0.003], [19134, 0.014], [19136, 0.039], + [19138, 0.087] + ], + "special04": [ + [14542, 1.0], [14543, 1.0], [14544, 1.0], [14545, 1.0], + [14546, 1.0], [14547, 1.0], [14548, 1.0], [14549, 1.0] + ], + "special05.L": [ + [13606, 1.0], [13607, 1.0], [13608, 1.0], [13609, 1.0], + [13610, 1.0], [13611, 1.0], [13612, 1.0], [13613, 1.0] + ], + "special05.R": [ + [13614, 1.0], [13615, 1.0], [13616, 1.0], [13617, 1.0], + [13618, 1.0], [13619, 1.0], [13620, 1.0], [13621, 1.0] + ], + "spine01": [ + [749, 0.046], [750, 0.049], [751, 0.091], [752, 0.098], + [753, 0.138], [754, 0.143], [755, 0.182], [756, 0.184], + [757, 0.219], [758, 0.213], [759, 0.241], [760, 0.217], + [761, 0.007], [763, 0.055], [764, 0.047], [765, 0.104], + [766, 0.095], [767, 0.154], [768, 0.144], [769, 0.199], + [770, 0.19], [771, 0.235], [772, 0.228], [773, 0.252], + [774, 0.252], [775, 0.02], [776, 0.156], [777, 0.198], + [778, 0.235], [779, 0.258], [781, 0.003], [782, 0.004], + [783, 0.003], [785, 0.09], [786, 0.088], [787, 0.091], + [788, 0.071], [789, 0.177], [790, 0.171], [791, 0.179], + [792, 0.141], [793, 0.278], [794, 0.24], [795, 0.265], + [796, 0.546], [797, 0.281], [798, 0.213], [799, 0.391], + [800, 0.323], [801, 0.369], [802, 0.446], [803, 0.395], + [804, 0.284], [805, 0.509], [806, 0.4], [807, 0.479], + [808, 0.349], [809, 0.515], [810, 0.35], [811, 0.638], + [812, 0.468], [813, 0.6], [814, 0.255], [815, 0.646], + [816, 0.405], [817, 0.046], [818, 0.092], [819, 0.131], + [820, 0.166], [821, 0.193], [822, 0.206], [823, 0.046], + [824, 0.093], [825, 0.132], [826, 0.169], [827, 0.203], + [828, 0.236], [829, 0.067], [830, 0.11], [831, 0.147], + [832, 0.182], [833, 0.219], [834, 0.259], [835, 0.084], + [836, 0.125], [837, 0.164], [838, 0.203], [839, 0.246], + [840, 0.298], [841, 0.084], [842, 0.14], [843, 0.196], + [844, 0.257], [845, 0.327], [846, 0.417], [847, 0.083], + [848, 0.15], [849, 0.219], [850, 0.295], [851, 0.381], + [852, 0.487], [853, 0.081], [854, 0.158], [855, 0.237], + [856, 0.326], [857, 0.433], [858, 0.579], [886, 0.012], + [887, 0.035], [888, 0.045], [889, 0.044], [890, 0.042], + [924, 0.079], [925, 0.084], [926, 0.003], [927, 0.017], + [928, 0.171], [929, 0.221], [930, 0.265], [931, 0.297], + [934, 0.041], [1017, 0.579], [1018, 0.081], [1019, 0.158], + [1023, 0.041], [1030, 0.326], [1031, 0.237], [1032, 0.433], + [1033, 0.065], [1034, 0.068], [1035, 0.109], [1036, 0.118], + [1037, 0.158], [1038, 0.166], [1039, 0.081], [1040, 0.412], + [1042, 0.041], [1044, 0.228], [1045, 0.545], [1051, 0.312], + [1053, 0.153], [1356, 0.066], [1357, 0.069], [1358, 0.077], + [1359, 0.098], [1360, 0.157], [1361, 0.159], [1362, 0.197], + [1363, 0.235], [1364, 0.25], [1365, 0.093], [1366, 0.07], + [1368, 0.124], [1369, 0.133], [1370, 0.182], [1371, 0.177], + [1372, 0.214], [1373, 0.251], [1374, 0.269], [1375, 0.132], + [1376, 0.097], [1377, 0.008], [1378, 0.17], [1379, 0.178], + [1380, 0.181], [1381, 0.189], [1382, 0.213], [1383, 0.237], + [1384, 0.245], [1385, 0.163], [1386, 0.126], [1387, 0.053], + [1388, 0.215], [1389, 0.238], [1390, 0.244], [1391, 0.239], + [1392, 0.245], [1393, 0.252], [1394, 0.24], [1395, 0.191], + [1396, 0.154], [1397, 0.098], [1398, 0.261], [1399, 0.576], + [1400, 0.496], [1401, 0.403], [1402, 0.311], [1403, 0.293], + [1405, 0.058], [1406, 0.058], [1407, 0.059], [1408, 0.057], + [1409, 0.195], [1410, 0.197], [1411, 0.193], [1412, 0.189], + [1413, 0.209], [1415, 0.027], [1416, 0.025], [1417, 0.022], + [1418, 0.017], [1419, 0.018], [1420, 0.259], [1421, 0.227], + [1422, 0.194], [1423, 0.189], [1431, 0.056], [1432, 0.055], + [1433, 0.057], [1434, 0.066], [1435, 0.155], [1436, 0.172], + [1437, 0.2], [1438, 0.229], [1439, 0.244], [1441, 0.038], + [1442, 0.043], [1443, 0.062], [1444, 0.087], [1445, 0.228], + [1446, 0.248], [1447, 0.22], [1448, 0.193], [1449, 0.183], + [1450, 0.027], [1451, 0.031], [1452, 0.046], [1453, 0.084], + [1454, 0.123], [1455, 0.033], [1456, 0.015], [1458, 0.021], + [1459, 0.02], [1460, 0.43], [1461, 0.56], [1462, 0.259], + [1463, 0.221], [1464, 0.221], [1465, 0.759], [1466, 0.866], + [1467, 0.866], [1468, 0.648], [1469, 0.563], [1470, 0.438], + [1471, 0.401], [1472, 0.24], [1473, 0.238], [1474, 0.308], + [1475, 0.573], [1476, 0.402], [1477, 0.496], [1478, 0.353], + [1479, 0.284], [1480, 0.178], [1481, 0.093], [1482, 0.087], + [1483, 0.145], [1484, 0.105], [1485, 0.176], [1486, 0.251], + [1487, 0.317], [1488, 0.393], [1489, 0.515], [1490, 0.601], + [1491, 0.789], [1492, 0.789], [1493, 0.719], [1494, 0.632], + [1495, 0.684], [1496, 0.684], [1497, 0.55], [1498, 0.469], + [1499, 0.352], [1500, 0.298], [1501, 0.249], [1502, 0.577], + [1503, 0.193], [1504, 0.176], [1505, 0.216], [1506, 0.491], + [1507, 0.433], [1508, 0.532], [1509, 0.439], [1510, 0.645], + [1511, 0.359], [1512, 0.227], [1513, 0.309], [1514, 0.622], + [1515, 0.359], [1516, 0.502], [1517, 0.227], [1518, 0.192], + [1519, 0.172], [1520, 0.157], [1521, 0.699], [1522, 0.71], + [1523, 0.697], [1524, 0.708], [1525, 0.67], [1526, 0.684], + [1527, 0.624], [1528, 0.632], [1529, 0.375], [1530, 0.317], + [1531, 0.265], [1532, 0.259], [1533, 0.28], [1534, 0.305], + [1535, 0.33], [1536, 0.363], [1537, 0.786], [1538, 0.926], + [1539, 0.926], [1540, 0.714], [1541, 0.632], [1542, 0.516], + [1543, 0.391], [1544, 0.253], [1545, 0.118], [1546, 0.05], + [1547, 0.044], [1548, 0.813], [1549, 0.985], [1550, 0.985], + [1551, 0.779], [1552, 0.7], [1553, 0.595], [1554, 0.428], + [1555, 0.222], [1556, 0.058], [1557, 0.008], [1559, 0.45], + [1560, 0.681], [1561, 0.787], [1562, 0.937], [1563, 0.841], + [1564, 0.744], [1565, 0.579], [1566, 0.778], [1567, 0.84], + [1568, 0.984], [1569, 0.885], [1570, 0.786], [1571, 0.747], + [1572, 0.814], [1573, 0.883], [1574, 0.94], [1575, 0.836], + [1576, 0.733], [1577, 0.863], [1578, 0.932], [1579, 0.954], + [1580, 0.891], [1581, 0.782], [1582, 0.673], [1583, 0.847], + [1584, 0.945], [1585, 0.966], [1586, 0.818], [1587, 0.719], + [1588, 0.62], [1589, 0.988], [1590, 0.984], [1591, 0.983], + [1592, 0.84], [1593, 0.738], [1594, 0.635], [1595, 0.988], + [1596, 0.984], [1597, 0.983], [1598, 0.84], [1599, 0.738], + [1600, 0.635], [1601, 0.142], [1602, 0.026], [1605, 0.121], + [1606, 0.008], [1609, 0.397], [1610, 0.556], [1611, 0.529], + [1612, 0.587], [1613, 0.542], [1614, 0.423], [1615, 0.102], + [1619, 0.29], [1620, 0.455], [1621, 0.676], [1622, 0.366], + [1623, 0.333], [1624, 0.312], [1629, 0.104], [1630, 0.123], + [1631, 0.288], [1632, 0.281], [1633, 0.309], [1634, 0.243], + [1639, 0.045], [1640, 0.055], [1641, 0.107], [1642, 0.094], + [1643, 0.103], [1648, 0.024], [1649, 0.027], [1650, 0.024], + [1651, 0.02], [1652, 0.021], [1653, 0.214], [1663, 0.078], + [1664, 0.253], [1665, 0.375], [1666, 0.423], [1667, 0.247], + [1668, 0.398], [1672, 0.079], [1673, 0.189], [1674, 0.061], + [1675, 0.065], [1677, 0.167], [1678, 0.182], [1679, 0.06], + [1680, 0.062], [1681, 0.027], [1682, 0.227], [1683, 0.203], + [1684, 0.185], [1685, 0.168], [1686, 0.066], [1687, 0.033], + [1689, 0.322], [1690, 0.24], [1691, 0.593], [1692, 0.699], + [1693, 0.804], [1762, 0.19], [1763, 0.193], [1764, 0.198], + [1765, 0.198], [1766, 0.199], [1767, 0.197], [1768, 0.189], + [1769, 0.181], [1770, 0.172], [1771, 0.17], [1772, 0.171], + [1773, 0.173], [1774, 0.176], [1775, 0.179], [1776, 0.184], + [1777, 0.188], [1778, 0.187], [1779, 0.188], [1780, 0.189], + [1781, 0.189], [1782, 0.189], [1783, 0.187], [1784, 0.181], + [1785, 0.177], [1786, 0.173], [1787, 0.177], [1788, 0.178], + [1789, 0.179], [1790, 0.181], [1791, 0.182], [1792, 0.183], + [1793, 0.184], [1794, 0.201], [1795, 0.2], [1796, 0.202], + [1797, 0.202], [1798, 0.201], [1799, 0.199], [1800, 0.195], + [1801, 0.182], [1802, 0.182], [1803, 0.183], [1804, 0.171], + [1805, 0.175], [1806, 0.181], [1807, 0.187], [1808, 0.194], + [1809, 0.201], [1810, 0.214], [1811, 0.206], [1812, 0.202], + [1813, 0.202], [1814, 0.201], [1815, 0.204], [1816, 0.189], + [1817, 0.191], [1818, 0.197], [1819, 0.204], [1820, 0.185], + [1821, 0.188], [1822, 0.195], [1823, 0.202], [1824, 0.214], + [1825, 0.221], [1826, 0.248], [1827, 0.221], [1828, 0.213], + [1829, 0.237], [1830, 0.262], [1831, 0.319], [1832, 0.266], + [1833, 0.262], [1834, 0.268], [1835, 0.231], [1836, 0.206], + [1837, 0.217], [1838, 0.235], [1839, 0.254], [1840, 0.28], + [1841, 0.279], [1842, 0.257], [1843, 0.217], [1844, 0.226], + [1845, 0.253], [1846, 0.281], [1847, 0.327], [1848, 0.28], + [1849, 0.275], [1850, 0.285], [1851, 0.244], [1852, 0.244], + [1853, 0.238], [1854, 0.253], [1855, 0.269], [1856, 0.305], + [1857, 0.294], [1858, 0.246], [1859, 0.225], [1860, 0.248], + [1861, 0.234], [1862, 0.269], [1863, 0.279], [1864, 0.215], + [1865, 0.19], [1866, 0.203], [1867, 0.169], [1868, 0.188], + [1869, 0.228], [1870, 0.245], [1871, 0.256], [1872, 0.267], + [1873, 0.282], [1874, 0.247], [1875, 0.243], [1876, 0.228], + [1877, 0.259], [1878, 0.232], [1879, 0.203], [1880, 0.211], + [1881, 0.204], [1882, 0.237], [1883, 0.215], [1884, 0.201], + [1885, 0.214], [1886, 0.229], [1887, 0.208], [1888, 0.224], + [1889, 0.262], [1890, 0.192], [1891, 0.182], [1892, 0.171], + [1893, 0.112], [1894, 0.191], [1895, 0.181], [1896, 0.171], + [1897, 0.112], [3687, 0.309], [3688, 0.351], [3689, 0.307], + [3690, 0.252], [3691, 0.192], [3692, 0.13], [3693, 0.069], + [3694, 0.009], [3751, 0.268], [3752, 0.226], [3753, 0.189], + [3754, 0.151], [3755, 0.109], [3756, 0.073], [3757, 0.056], + [3758, 0.061], [3759, 0.059], [3760, 0.053], [3761, 0.023], + [3774, 0.843], [3775, 0.888], [3776, 0.927], [3777, 0.96], + [3778, 0.969], [3779, 0.98], [3780, 0.98], [3781, 0.591], + [3782, 0.183], [3783, 0.078], [3784, 0.026], [3786, 0.388], + [3787, 0.734], [3837, 0.932], [3838, 0.953], [3839, 0.96], + [3840, 0.968], [3841, 0.934], [3842, 0.931], [3843, 0.931], + [3844, 0.578], [3845, 0.251], [3846, 0.089], [3847, 0.024], + [3849, 0.408], [3871, 0.793], [3923, 0.214], [3924, 0.176], + [3925, 0.158], [3926, 0.593], [3927, 0.644], [3928, 0.607], + [3929, 0.578], [3930, 0.529], [3931, 0.528], [3932, 0.528], + [3933, 0.28], [3934, 0.235], [3935, 0.223], [3936, 0.447], + [3937, 0.165], [3938, 0.163], [3939, 0.112], [3940, 0.389], + [3941, 0.421], [3942, 0.449], [3943, 0.479], [3944, 0.452], + [3945, 0.411], [3946, 0.411], [3947, 0.223], [3948, 0.212], + [3949, 0.196], [3950, 0.285], [3951, 0.111], [3952, 0.129], + [3953, 0.088], [3954, 0.202], [3955, 0.209], [3956, 0.28], + [3957, 0.352], [3958, 0.312], [3959, 0.237], [3960, 0.237], + [3961, 0.171], [3962, 0.159], [3963, 0.145], [3964, 0.188], + [3965, 0.064], [3966, 0.09], [3967, 0.054], [3968, 0.11], + [3969, 0.105], [3970, 0.151], [3971, 0.197], [3972, 0.158], + [3973, 0.139], [3974, 0.139], [3975, 0.151], [3976, 0.127], + [3977, 0.116], [3978, 0.13], [3979, 0.022], [3980, 0.027], + [3981, 0.018], [3982, 0.041], [3983, 0.019], [3984, 0.022], + [3985, 0.025], [3986, 0.018], [3987, 0.01], [3988, 0.01], + [3989, 0.098], [3990, 0.071], [3991, 0.049], [3992, 0.069], + [3996, 0.019], [3998, 0.004], [3999, 0.007], [4000, 0.004], + [4003, 0.03], [4004, 0.012], [4006, 0.025], [4064, 0.231], + [4065, 0.219], [4066, 0.166], [4067, 0.052], [4068, 0.11], + [4070, 0.002], [4072, 0.121], [4073, 0.094], [4076, 0.002], + [4078, 0.02], [4079, 0.008], [4082, 0.052], [4088, 0.052], + [4094, 0.105], [4095, 0.004], [4098, 0.083], [4099, 0.016], + [4100, 0.087], [5278, 0.004], [5279, 0.007], [5280, 0.005], + [5281, 0.001], [7468, 0.046], [7469, 0.049], [7470, 0.091], + [7471, 0.098], [7472, 0.138], [7473, 0.143], [7474, 0.182], + [7475, 0.184], [7476, 0.219], [7477, 0.213], [7478, 0.241], + [7479, 0.217], [7480, 0.007], [7482, 0.055], [7483, 0.047], + [7484, 0.104], [7485, 0.095], [7486, 0.154], [7487, 0.144], + [7488, 0.199], [7489, 0.19], [7490, 0.235], [7491, 0.228], + [7492, 0.252], [7493, 0.252], [7494, 0.02], [7495, 0.156], + [7496, 0.198], [7497, 0.235], [7498, 0.258], [7499, 0.003], + [7500, 0.004], [7502, 0.09], [7503, 0.088], [7504, 0.071], + [7505, 0.177], [7506, 0.171], [7507, 0.141], [7508, 0.278], + [7509, 0.24], [7510, 0.265], [7511, 0.546], [7512, 0.213], + [7513, 0.391], [7514, 0.323], [7515, 0.369], [7516, 0.446], + [7517, 0.284], [7518, 0.509], [7519, 0.4], [7520, 0.479], + [7521, 0.349], [7522, 0.35], [7523, 0.638], [7524, 0.468], + [7525, 0.6], [7526, 0.255], [7527, 0.405], [7528, 0.046], + [7529, 0.092], [7530, 0.131], [7531, 0.166], [7532, 0.193], + [7533, 0.206], [7534, 0.046], [7535, 0.093], [7536, 0.132], + [7537, 0.169], [7538, 0.203], [7539, 0.236], [7540, 0.067], + [7541, 0.11], [7542, 0.147], [7543, 0.182], [7544, 0.219], + [7545, 0.259], [7546, 0.084], [7547, 0.125], [7548, 0.164], + [7549, 0.203], [7550, 0.246], [7551, 0.298], [7552, 0.084], + [7553, 0.14], [7554, 0.196], [7555, 0.257], [7556, 0.327], + [7557, 0.417], [7558, 0.083], [7559, 0.15], [7560, 0.219], + [7561, 0.295], [7562, 0.381], [7563, 0.487], [7588, 0.012], + [7589, 0.035], [7590, 0.045], [7591, 0.044], [7592, 0.042], + [7626, 0.079], [7627, 0.084], [7628, 0.003], [7629, 0.017], + [7630, 0.171], [7631, 0.221], [7632, 0.265], [7633, 0.297], + [7709, 0.579], [7710, 0.081], [7711, 0.158], [7715, 0.041], + [7722, 0.326], [7723, 0.237], [7724, 0.433], [7725, 0.065], + [7726, 0.068], [7727, 0.109], [7728, 0.118], [7729, 0.158], + [7730, 0.166], [7731, 0.081], [7732, 0.412], [7734, 0.041], + [7736, 0.228], [7737, 0.545], [7743, 0.312], [7745, 0.153], + [8048, 0.066], [8049, 0.069], [8050, 0.077], [8051, 0.098], + [8052, 0.157], [8053, 0.159], [8054, 0.197], [8055, 0.235], + [8056, 0.25], [8057, 0.093], [8058, 0.07], [8060, 0.124], + [8061, 0.133], [8062, 0.182], [8063, 0.177], [8064, 0.214], + [8065, 0.251], [8066, 0.269], [8067, 0.132], [8068, 0.097], + [8069, 0.008], [8070, 0.17], [8071, 0.178], [8072, 0.181], + [8073, 0.189], [8074, 0.213], [8075, 0.237], [8076, 0.245], + [8077, 0.163], [8078, 0.126], [8079, 0.053], [8080, 0.215], + [8081, 0.238], [8082, 0.244], [8083, 0.239], [8084, 0.245], + [8085, 0.252], [8086, 0.24], [8087, 0.191], [8088, 0.154], + [8089, 0.098], [8090, 0.261], [8091, 0.293], [8093, 0.058], + [8094, 0.058], [8095, 0.059], [8096, 0.057], [8097, 0.195], + [8098, 0.197], [8099, 0.193], [8100, 0.189], [8101, 0.209], + [8103, 0.027], [8104, 0.025], [8105, 0.022], [8106, 0.017], + [8107, 0.018], [8108, 0.259], [8109, 0.227], [8110, 0.194], + [8111, 0.189], [8119, 0.056], [8120, 0.055], [8121, 0.057], + [8122, 0.066], [8123, 0.155], [8124, 0.172], [8125, 0.2], + [8126, 0.229], [8127, 0.244], [8129, 0.038], [8130, 0.043], + [8131, 0.062], [8132, 0.087], [8133, 0.228], [8134, 0.248], + [8135, 0.22], [8136, 0.193], [8137, 0.183], [8138, 0.027], + [8139, 0.031], [8140, 0.046], [8141, 0.084], [8142, 0.123], + [8143, 0.033], [8144, 0.015], [8146, 0.021], [8147, 0.02], + [8148, 0.43], [8149, 0.56], [8150, 0.259], [8151, 0.221], + [8152, 0.221], [8153, 0.759], [8154, 0.866], [8155, 0.648], + [8156, 0.563], [8157, 0.438], [8158, 0.401], [8159, 0.238], + [8160, 0.308], [8161, 0.573], [8162, 0.402], [8163, 0.496], + [8164, 0.353], [8165, 0.284], [8166, 0.178], [8167, 0.093], + [8168, 0.087], [8169, 0.145], [8170, 0.105], [8171, 0.176], + [8172, 0.251], [8173, 0.317], [8174, 0.393], [8175, 0.515], + [8176, 0.601], [8177, 0.789], [8178, 0.719], [8179, 0.632], + [8180, 0.684], [8181, 0.55], [8182, 0.469], [8183, 0.352], + [8184, 0.298], [8185, 0.249], [8186, 0.577], [8187, 0.193], + [8188, 0.176], [8189, 0.216], [8190, 0.491], [8191, 0.433], + [8192, 0.532], [8193, 0.439], [8194, 0.645], [8195, 0.359], + [8196, 0.227], [8197, 0.309], [8198, 0.622], [8199, 0.359], + [8200, 0.502], [8201, 0.227], [8202, 0.192], [8203, 0.172], + [8204, 0.157], [8205, 0.699], [8206, 0.697], [8207, 0.67], + [8208, 0.624], [8209, 0.375], [8210, 0.317], [8211, 0.265], + [8212, 0.259], [8213, 0.28], [8214, 0.305], [8215, 0.33], + [8216, 0.363], [8217, 0.786], [8218, 0.926], [8219, 0.714], + [8220, 0.632], [8221, 0.516], [8222, 0.391], [8223, 0.253], + [8224, 0.118], [8225, 0.05], [8226, 0.044], [8227, 0.813], + [8228, 0.985], [8229, 0.779], [8230, 0.7], [8231, 0.595], + [8232, 0.428], [8233, 0.222], [8234, 0.058], [8235, 0.008], + [8237, 0.45], [8238, 0.681], [8239, 0.787], [8240, 0.937], + [8241, 0.841], [8242, 0.744], [8243, 0.579], [8244, 0.778], + [8245, 0.84], [8246, 0.984], [8247, 0.885], [8248, 0.786], + [8249, 0.747], [8250, 0.814], [8251, 0.883], [8252, 0.94], + [8253, 0.836], [8254, 0.733], [8255, 0.863], [8256, 0.932], + [8257, 0.954], [8258, 0.891], [8259, 0.782], [8260, 0.673], + [8261, 0.847], [8262, 0.945], [8263, 0.966], [8264, 0.818], + [8265, 0.719], [8266, 0.62], [8267, 0.988], [8268, 0.984], + [8269, 0.983], [8270, 0.84], [8271, 0.738], [8272, 0.635], + [8273, 0.142], [8274, 0.026], [8277, 0.121], [8278, 0.008], + [8281, 0.397], [8282, 0.556], [8283, 0.529], [8284, 0.587], + [8285, 0.542], [8286, 0.423], [8287, 0.102], [8291, 0.29], + [8292, 0.455], [8293, 0.676], [8294, 0.366], [8295, 0.333], + [8296, 0.312], [8301, 0.104], [8302, 0.123], [8303, 0.288], + [8304, 0.281], [8305, 0.309], [8306, 0.243], [8311, 0.045], + [8312, 0.055], [8313, 0.107], [8314, 0.094], [8315, 0.103], + [8320, 0.024], [8321, 0.027], [8322, 0.024], [8323, 0.02], + [8324, 0.021], [8325, 0.214], [8335, 0.078], [8336, 0.253], + [8337, 0.375], [8338, 0.423], [8339, 0.247], [8340, 0.398], + [8344, 0.079], [8345, 0.189], [8346, 0.061], [8347, 0.065], + [8349, 0.167], [8350, 0.182], [8351, 0.06], [8352, 0.062], + [8353, 0.027], [8354, 0.227], [8355, 0.203], [8356, 0.185], + [8357, 0.168], [8358, 0.066], [8359, 0.033], [8361, 0.322], + [8362, 0.24], [8363, 0.593], [8364, 0.699], [8365, 0.804], + [8434, 0.19], [8435, 0.193], [8436, 0.198], [8437, 0.198], + [8438, 0.199], [8439, 0.197], [8440, 0.189], [8441, 0.181], + [8442, 0.172], [8443, 0.17], [8444, 0.171], [8445, 0.173], + [8446, 0.176], [8447, 0.179], [8448, 0.184], [8449, 0.188], + [8450, 0.187], [8451, 0.188], [8452, 0.189], [8453, 0.189], + [8454, 0.189], [8455, 0.187], [8456, 0.181], [8457, 0.177], + [8458, 0.173], [8459, 0.177], [8460, 0.178], [8461, 0.179], + [8462, 0.181], [8463, 0.182], [8464, 0.183], [8465, 0.184], + [8466, 0.201], [8467, 0.2], [8468, 0.202], [8469, 0.202], + [8470, 0.201], [8471, 0.199], [8472, 0.195], [8473, 0.182], + [8474, 0.182], [8475, 0.183], [8476, 0.171], [8477, 0.175], + [8478, 0.181], [8479, 0.187], [8480, 0.194], [8481, 0.201], + [8482, 0.214], [8483, 0.206], [8484, 0.202], [8485, 0.202], + [8486, 0.201], [8487, 0.204], [8488, 0.189], [8489, 0.191], + [8490, 0.197], [8491, 0.204], [8492, 0.185], [8493, 0.188], + [8494, 0.195], [8495, 0.202], [8496, 0.214], [8497, 0.221], + [8498, 0.248], [8499, 0.221], [8500, 0.213], [8501, 0.237], + [8502, 0.262], [8503, 0.319], [8504, 0.266], [8505, 0.262], + [8506, 0.268], [8507, 0.231], [8508, 0.206], [8509, 0.217], + [8510, 0.235], [8511, 0.254], [8512, 0.28], [8513, 0.279], + [8514, 0.257], [8515, 0.217], [8516, 0.226], [8517, 0.253], + [8518, 0.281], [8519, 0.327], [8520, 0.28], [8521, 0.275], + [8522, 0.285], [8523, 0.244], [8524, 0.244], [8525, 0.238], + [8526, 0.253], [8527, 0.269], [8528, 0.305], [8529, 0.294], + [8530, 0.246], [8531, 0.225], [8532, 0.248], [8533, 0.234], + [8534, 0.269], [8535, 0.279], [8536, 0.215], [8537, 0.19], + [8538, 0.203], [8539, 0.169], [8540, 0.188], [8541, 0.228], + [8542, 0.245], [8543, 0.256], [8544, 0.267], [8545, 0.282], + [8546, 0.247], [8547, 0.243], [8548, 0.228], [8549, 0.259], + [8550, 0.232], [8551, 0.203], [8552, 0.211], [8553, 0.204], + [8554, 0.237], [8555, 0.215], [8556, 0.201], [8557, 0.214], + [8558, 0.229], [8559, 0.208], [8560, 0.224], [8561, 0.262], + [8562, 0.191], [8563, 0.181], [8564, 0.171], [8565, 0.112], + [10355, 0.309], [10356, 0.351], [10357, 0.307], [10358, 0.252], + [10359, 0.192], [10360, 0.13], [10361, 0.069], [10362, 0.009], + [10418, 0.268], [10419, 0.226], [10420, 0.189], [10421, 0.151], + [10422, 0.109], [10423, 0.073], [10424, 0.056], [10425, 0.061], + [10426, 0.059], [10427, 0.053], [10428, 0.023], [10441, 0.843], + [10442, 0.888], [10443, 0.927], [10444, 0.96], [10445, 0.969], + [10446, 0.98], [10447, 0.591], [10448, 0.183], [10449, 0.078], + [10450, 0.026], [10452, 0.388], [10453, 0.734], [10503, 0.932], + [10504, 0.953], [10505, 0.96], [10506, 0.968], [10507, 0.934], + [10508, 0.931], [10509, 0.578], [10510, 0.251], [10511, 0.089], + [10512, 0.024], [10514, 0.408], [10536, 0.793], [10588, 0.214], + [10589, 0.176], [10590, 0.158], [10591, 0.593], [10592, 0.644], + [10593, 0.607], [10594, 0.578], [10595, 0.529], [10596, 0.528], + [10597, 0.28], [10598, 0.235], [10599, 0.223], [10600, 0.447], + [10601, 0.165], [10602, 0.163], [10603, 0.112], [10604, 0.389], + [10605, 0.421], [10606, 0.449], [10607, 0.479], [10608, 0.452], + [10609, 0.411], [10610, 0.223], [10611, 0.212], [10612, 0.196], + [10613, 0.285], [10614, 0.111], [10615, 0.129], [10616, 0.088], + [10617, 0.202], [10618, 0.209], [10619, 0.28], [10620, 0.352], + [10621, 0.312], [10622, 0.237], [10623, 0.171], [10624, 0.159], + [10625, 0.145], [10626, 0.188], [10627, 0.064], [10628, 0.09], + [10629, 0.054], [10630, 0.11], [10631, 0.105], [10632, 0.151], + [10633, 0.197], [10634, 0.158], [10635, 0.139], [10636, 0.151], + [10637, 0.127], [10638, 0.116], [10639, 0.13], [10640, 0.022], + [10641, 0.027], [10642, 0.018], [10643, 0.041], [10644, 0.019], + [10645, 0.022], [10646, 0.025], [10647, 0.018], [10648, 0.01], + [10649, 0.098], [10650, 0.071], [10651, 0.049], [10652, 0.069], + [10656, 0.019], [10658, 0.004], [10659, 0.007], [10660, 0.004], + [10662, 0.03], [10663, 0.012], [10665, 0.025], [10719, 0.231], + [10720, 0.219], [10721, 0.166], [10722, 0.052], [10723, 0.11], + [10724, 0.121], [10725, 0.094], [10728, 0.002], [10730, 0.02], + [10731, 0.008], [10734, 0.052], [10744, 0.105], [10745, 0.004], + [10748, 0.083], [10749, 0.016], [10750, 0.087], [11885, 0.004], + [11886, 0.007], [11887, 0.005], [11888, 0.001], [14054, 1.0], + [14055, 1.0], [14056, 1.0], [14057, 1.0], [14058, 1.0], + [14059, 1.0], [14060, 1.0], [14061, 1.0], [14494, 1.0], + [14495, 1.0], [14496, 1.0], [14497, 1.0], [14498, 1.0], + [14499, 1.0], [14500, 1.0], [14501, 1.0], [14534, 1.0], + [14535, 1.0], [14536, 1.0], [14537, 1.0], [14538, 1.0], + [14539, 1.0], [14540, 1.0], [14541, 1.0], [15556, 0.013], + [15557, 0.042], [15558, 0.058], [15559, 0.083], [15561, 0.101], + [15562, 0.122], [15563, 0.06], [15564, 0.031], [15565, 0.079], + [15566, 0.091], [15568, 0.107], [15569, 0.129], [15570, 0.072], + [15571, 0.047], [15572, 0.102], [15573, 0.099], [15575, 0.109], + [15576, 0.121], [15577, 0.083], [15578, 0.064], [15579, 0.146], + [15580, 0.141], [15581, 0.134], [15582, 0.129], [15583, 0.117], + [15584, 0.213], [15585, 0.287], [15586, 0.303], [15588, 0.005], + [15589, 0.01], [15590, 0.005], [15594, 0.009], [15595, 0.034], + [15596, 0.04], [15597, 0.082], [15599, 0.102], [15600, 0.116], + [15601, 0.009], [15602, 0.023], [15603, 0.03], [15604, 0.113], + [15606, 0.105], [15607, 0.097], [15608, 0.294], [15609, 0.268], + [15611, 0.25], [15612, 0.149], [15613, 0.079], [15614, 0.055], + [15615, 0.149], [15616, 0.232], [15617, 0.122], [15618, 0.053], + [15619, 0.038], [15620, 0.318], [15621, 0.459], [15622, 0.405], + [15623, 0.334], [15624, 0.486], [15625, 0.424], [15626, 0.388], + [15627, 0.458], [15628, 0.391], [15629, 0.459], [15630, 0.418], + [15631, 0.351], [15632, 0.17], [15633, 0.076], [15634, 0.025], + [15635, 0.018], [15636, 0.12], [15637, 0.03], [15638, 0.004], + [15640, 0.184], [15641, 0.275], [15642, 0.172], [15643, 0.138], + [15644, 0.106], [15645, 0.017], [15648, 0.217], [15649, 0.176], + [15650, 0.15], [15651, 0.116], [15652, 0.101], [15653, 0.01], + [15657, 0.025], [15659, 0.038], [15660, 0.025], [15661, 0.003], + [15665, 0.009], [15666, 0.008], [15667, 0.004], [15675, 0.116], + [15678, 0.093], [15681, 0.005], [15682, 0.052], [15683, 0.031], + [15684, 0.008], [15686, 0.086], [15687, 0.03], [15688, 0.099], + [15689, 0.094], [15690, 0.33], [15691, 0.391], [15725, 0.217], + [15726, 0.218], [15727, 0.191], [15728, 0.173], [15729, 0.13], + [15730, 0.1], [15731, 0.083], [15732, 0.068], [15733, 0.124], + [15734, 0.099], [15735, 0.122], [15736, 0.121], [15737, 0.083], + [15738, 0.096], [15739, 0.106], [15740, 0.077], [15741, 0.061], + [15742, 0.117], [15743, 0.121], [15744, 0.129], [15745, 0.138], + [15746, 0.082], [15747, 0.178], [15748, 0.094], [15768, 0.118], + [15772, 0.121], [15781, 0.144], [15792, 0.142], [15803, 0.112], + [15815, 0.126], [15838, 0.077], [15848, 0.09], [15850, 0.09], + [15861, 0.039], [15871, 0.091], [15873, 0.009], [15876, 0.124], + [15877, 0.1], [15878, 0.081], [15879, 0.057], [15880, 0.036], + [15881, 0.03], [15882, 0.027], [15883, 0.007], [15892, 0.457], + [15893, 0.467], [15894, 0.476], [15895, 0.476], [15897, 0.131], + [15898, 0.182], [15899, 0.081], [15900, 0.406], [15901, 0.064], + [15904, 0.281], [15905, 0.282], [15906, 0.238], [15907, 0.103], + [15908, 0.482], [15909, 0.452], [15910, 0.426], [15911, 0.407], + [15912, 0.356], [15916, 0.032], [15917, 0.008], [15919, 0.133], + [15942, 0.095], [15943, 0.356], [15944, 0.369], [15945, 0.334], + [15946, 0.302], [15947, 0.129], [15948, 0.095], [15949, 0.269], + [15950, 0.049], [15951, 0.09], [15952, 0.097], [15953, 0.148], + [15954, 0.139], [15955, 0.073], [15956, 0.067], [15957, 0.087], + [15958, 0.023], [15959, 0.037], [15960, 0.034], [15961, 0.051], + [15962, 0.045], [15963, 0.05], [15964, 0.04], [15965, 0.05], + [15966, 0.008], [15967, 0.015], [15968, 0.006], [15969, 0.009], + [15970, 0.008], [15971, 0.029], [15972, 0.018], [15973, 0.028], + [15975, 0.004], [15977, 0.002], [15978, 0.002], [15979, 0.005], + [15981, 0.007], [15995, 0.109], [15996, 0.073], [15997, 0.014], + [15998, 0.034], [15999, 0.041], [16000, 0.032], [16003, 0.004], + [16004, 0.002], [16010, 0.031], [16014, 0.025], [16015, 0.001], + [16016, 0.013], [16434, 0.134], [16435, 0.415], [16436, 0.371], + [16437, 0.064], [16438, 0.098], [16439, 0.153], [16440, 0.237], + [16441, 0.066], [16442, 0.068], [16443, 0.101], [16444, 0.099], + [16445, 0.072], [16446, 0.038], [16447, 0.117], [16448, 0.101], + [16449, 0.12], [16450, 0.106], [16451, 0.06], [16452, 0.057], + [16453, 0.075], [16454, 0.1], [16455, 0.108], [16456, 0.101], + [16457, 0.086], [16458, 0.122], [16459, 0.27], [16460, 0.087], + [16461, 0.106], [16462, 0.125], [16463, 0.13], [16464, 0.109], + [16465, 0.053], [16466, 0.056], [16467, 0.126], [16468, 0.119], + [16469, 0.106], [16470, 0.114], [16471, 0.134], [16472, 0.101], + [16473, 0.092], [16474, 0.097], [16475, 0.271], [16476, 0.235], + [16477, 0.157], [16478, 0.19], [16479, 0.125], [16480, 0.05], + [16481, 0.137], [16482, 0.291], [16485, 0.008], [16488, 0.121], + [16489, 0.136], [16490, 0.492], [16491, 0.127], [16492, 0.145], + [16493, 0.494], [16494, 0.491], [16495, 0.475], [16496, 0.42], + [16497, 0.356], [16498, 0.311], [16499, 0.271], [16500, 0.195], + [16501, 0.151], [16502, 0.112], [16503, 0.082], [16504, 0.045], + [16505, 0.004], [16529, 0.083], [16530, 0.087], [16531, 0.107], + [16532, 0.163], [16533, 0.222], [16534, 0.241], [16535, 0.249], + [16536, 0.241], [16537, 0.112], [16538, 0.116], [16539, 0.139], + [16540, 0.14], [16541, 0.108], [16542, 0.125], [16543, 0.118], + [16544, 0.118], [16545, 0.235], [16546, 0.395], [16547, 0.322], + [16548, 0.151], [16549, 0.218], [16550, 0.47], [16551, 0.363], + [16552, 0.271], [16553, 0.139], [16554, 0.186], [16555, 0.428], + [16556, 0.296], [16557, 0.226], [16558, 0.123], [16559, 0.149], + [16560, 0.358], [16561, 0.237], [16562, 0.174], [16563, 0.108], + [16564, 0.124], [16565, 0.283], [16566, 0.199], [16567, 0.154], + [16568, 0.098], [16569, 0.11], [16570, 0.22], [16571, 0.195], + [16572, 0.108], [16573, 0.14], [16574, 0.301], [16575, 0.199], + [16576, 0.123], [16577, 0.14], [16578, 0.264], [16579, 0.157], + [16580, 0.121], [16581, 0.121], [16582, 0.206], [16583, 0.12], + [16584, 0.105], [16585, 0.109], [16586, 0.161], [16587, 0.101], + [16588, 0.093], [16589, 0.094], [16590, 0.131], [16591, 0.112], + [16592, 0.088], [16593, 0.11], [16594, 0.118], [16595, 0.103], + [16596, 0.113], [16597, 0.112], [16598, 0.103], [16599, 0.111], + [16600, 0.103], [16601, 0.096], [16602, 0.099], [16603, 0.092], + [16604, 0.089], [16605, 0.093], [16860, 0.013], [16861, 0.042], + [16862, 0.058], [16863, 0.083], [16865, 0.101], [16866, 0.122], + [16867, 0.06], [16868, 0.031], [16869, 0.079], [16870, 0.091], + [16872, 0.107], [16873, 0.129], [16874, 0.072], [16875, 0.047], + [16876, 0.102], [16877, 0.099], [16879, 0.109], [16880, 0.121], + [16881, 0.083], [16882, 0.064], [16883, 0.146], [16884, 0.141], + [16885, 0.134], [16886, 0.129], [16887, 0.117], [16888, 0.213], + [16889, 0.287], [16890, 0.303], [16892, 0.005], [16893, 0.01], + [16894, 0.005], [16898, 0.009], [16899, 0.034], [16900, 0.04], + [16901, 0.082], [16903, 0.102], [16904, 0.116], [16905, 0.009], + [16906, 0.023], [16907, 0.03], [16908, 0.113], [16910, 0.105], + [16911, 0.097], [16912, 0.323], [16913, 0.294], [16914, 0.268], + [16916, 0.271], [16917, 0.176], [16918, 0.223], [16919, 0.272], + [16920, 0.25], [16921, 0.149], [16922, 0.079], [16923, 0.055], + [16924, 0.149], [16925, 0.232], [16926, 0.122], [16927, 0.053], + [16928, 0.038], [16929, 0.318], [16930, 0.459], [16931, 0.405], + [16932, 0.334], [16933, 0.486], [16934, 0.424], [16935, 0.388], + [16936, 0.458], [16937, 0.391], [16938, 0.459], [16939, 0.418], + [16940, 0.351], [16941, 0.492], [16942, 0.414], [16943, 0.356], + [16944, 0.17], [16945, 0.076], [16946, 0.025], [16947, 0.018], + [16948, 0.12], [16949, 0.03], [16950, 0.004], [16952, 0.184], + [16953, 0.275], [16954, 0.172], [16955, 0.138], [16956, 0.106], + [16957, 0.017], [16960, 0.217], [16961, 0.176], [16962, 0.15], + [16963, 0.116], [16964, 0.101], [16965, 0.01], [16969, 0.025], + [16971, 0.038], [16972, 0.025], [16973, 0.003], [16977, 0.009], + [16978, 0.008], [16979, 0.004], [16987, 0.116], [16990, 0.093], + [16993, 0.005], [16994, 0.052], [16995, 0.031], [16996, 0.008], + [16998, 0.086], [16999, 0.03], [17000, 0.099], [17001, 0.094], + [17002, 0.33], [17003, 0.391], [17037, 0.206], [17038, 0.217], + [17039, 0.218], [17040, 0.191], [17041, 0.173], [17042, 0.13], + [17043, 0.1], [17044, 0.083], [17045, 0.068], [17046, 0.124], + [17047, 0.099], [17048, 0.122], [17049, 0.121], [17050, 0.14], + [17051, 0.037], [17052, 0.083], [17053, 0.096], [17054, 0.106], + [17055, 0.077], [17056, 0.061], [17057, 0.117], [17058, 0.121], + [17059, 0.129], [17060, 0.138], [17061, 0.347], [17062, 0.082], + [17063, 0.178], [17064, 0.094], [17076, 0.114], [17085, 0.118], + [17089, 0.121], [17098, 0.144], [17109, 0.142], [17120, 0.112], + [17132, 0.126], [17155, 0.077], [17165, 0.09], [17167, 0.09], + [17178, 0.039], [17188, 0.091], [17190, 0.009], [17193, 0.124], + [17194, 0.1], [17195, 0.081], [17196, 0.057], [17197, 0.036], + [17198, 0.03], [17199, 0.027], [17200, 0.007], [17209, 0.457], + [17210, 0.467], [17211, 0.476], [17212, 0.476], [17213, 0.472], + [17215, 0.131], [17216, 0.182], [17217, 0.081], [17218, 0.406], + [17219, 0.064], [17222, 0.281], [17223, 0.282], [17224, 0.238], + [17225, 0.103], [17226, 0.491], [17227, 0.482], [17228, 0.452], + [17229, 0.426], [17230, 0.407], [17231, 0.356], [17235, 0.032], + [17236, 0.008], [17238, 0.133], [17261, 0.095], [17262, 0.356], + [17263, 0.369], [17264, 0.334], [17265, 0.302], [17266, 0.311], + [17267, 0.129], [17268, 0.095], [17269, 0.269], [17270, 0.049], + [17271, 0.09], [17272, 0.097], [17273, 0.148], [17274, 0.139], + [17275, 0.073], [17276, 0.067], [17277, 0.087], [17278, 0.023], + [17279, 0.037], [17280, 0.034], [17281, 0.051], [17282, 0.045], + [17283, 0.045], [17284, 0.05], [17285, 0.04], [17286, 0.05], + [17287, 0.008], [17288, 0.015], [17289, 0.006], [17290, 0.009], + [17291, 0.008], [17292, 0.029], [17293, 0.018], [17294, 0.028], + [17296, 0.004], [17298, 0.002], [17299, 0.002], [17300, 0.005], + [17302, 0.007], [17317, 0.109], [17318, 0.073], [17319, 0.014], + [17320, 0.034], [17321, 0.041], [17322, 0.032], [17327, 0.004], + [17328, 0.002], [17331, 0.004], [17335, 0.031], [17339, 0.025], + [17340, 0.001], [17341, 0.013], [17763, 0.062], [17764, 0.134], + [17765, 0.494], [17766, 0.415], [17767, 0.371], [17768, 0.064], + [17769, 0.098], [17770, 0.153], [17771, 0.237], [17772, 0.066], + [17773, 0.068], [17774, 0.101], [17775, 0.099], [17776, 0.072], + [17777, 0.038], [17778, 0.09], [17779, 0.117], [17780, 0.101], + [17781, 0.12], [17782, 0.106], [17783, 0.06], [17784, 0.057], + [17785, 0.075], [17786, 0.1], [17787, 0.108], [17788, 0.101], + [17789, 0.086], [17790, 0.122], [17791, 0.27], [17792, 0.087], + [17793, 0.106], [17794, 0.125], [17795, 0.13], [17796, 0.109], + [17797, 0.053], [17798, 0.056], [17799, 0.126], [17800, 0.119], + [17801, 0.106], [17802, 0.114], [17803, 0.092], [17804, 0.086], + [17805, 0.134], [17806, 0.101], [17807, 0.092], [17808, 0.097], + [17809, 0.271], [17810, 0.235], [17811, 0.157], [17812, 0.19], + [17813, 0.125], [17814, 0.05], [17815, 0.137], [17816, 0.291], + [17819, 0.008], [17822, 0.121], [17823, 0.136], [17824, 0.492], + [17825, 0.127], [17826, 0.145], [17827, 0.494], [17828, 0.491], + [17829, 0.475], [17830, 0.42], [17831, 0.356], [17832, 0.311], + [17833, 0.271], [17834, 0.195], [17835, 0.151], [17836, 0.112], + [17837, 0.082], [17838, 0.045], [17839, 0.004], [17863, 0.083], + [17864, 0.087], [17865, 0.107], [17866, 0.163], [17867, 0.222], + [17868, 0.241], [17869, 0.249], [17870, 0.241], [17871, 0.235], + [17872, 0.101], [17873, 0.112], [17874, 0.116], [17875, 0.139], + [17876, 0.14], [17877, 0.108], [17878, 0.125], [17879, 0.118], + [17880, 0.118], [17881, 0.235], [17882, 0.47], [17883, 0.395], + [17884, 0.322], [17885, 0.151], [17886, 0.218], [17887, 0.47], + [17888, 0.428], [17889, 0.363], [17890, 0.271], [17891, 0.139], + [17892, 0.186], [17893, 0.428], [17894, 0.368], [17895, 0.296], + [17896, 0.226], [17897, 0.123], [17898, 0.149], [17899, 0.358], + [17900, 0.296], [17901, 0.237], [17902, 0.174], [17903, 0.108], + [17904, 0.124], [17905, 0.283], [17906, 0.226], [17907, 0.199], + [17908, 0.154], [17909, 0.098], [17910, 0.11], [17911, 0.22], + [17912, 0.348], [17913, 0.195], [17914, 0.108], [17915, 0.14], + [17916, 0.301], [17917, 0.301], [17918, 0.199], [17919, 0.123], + [17920, 0.14], [17921, 0.264], [17922, 0.236], [17923, 0.157], + [17924, 0.121], [17925, 0.121], [17926, 0.206], [17927, 0.183], + [17928, 0.12], [17929, 0.105], [17930, 0.109], [17931, 0.161], + [17932, 0.147], [17933, 0.101], [17934, 0.093], [17935, 0.094], + [17936, 0.131], [17937, 0.112], [17938, 0.088], [17939, 0.11], + [17940, 0.118], [17941, 0.103], [17942, 0.113], [17943, 0.112], + [17944, 0.103], [17945, 0.111], [17946, 0.103], [17947, 0.096], + [17948, 0.099], [17949, 0.092], [17950, 0.089], [17951, 0.093], + [17952, 0.118], [17953, 0.004], [17974, 0.162], [17975, 0.088], + [18773, 0.1], [18774, 0.165], [18775, 0.183], [18776, 0.28], + [18777, 0.245], [18778, 0.268], [18779, 0.227], [18780, 0.256], + [18781, 0.245], [18782, 0.305], [18783, 0.206], [18784, 0.191], + [18785, 0.271], [18787, 0.029], [18819, 0.009], [18820, 0.06], + [18821, 0.024], [18822, 0.116], [18823, 0.04], [18824, 0.201], + [18825, 0.107], [18826, 0.259], [18827, 0.162], [18828, 0.263], + [18829, 0.217], [18830, 0.245], [18831, 0.225], [18832, 0.221], + [18833, 0.351], [18834, 0.284], [18835, 0.197], [18836, 0.026], + [18837, 0.007], [18850, 0.008], [18852, 0.022], [18853, 0.013], + [18854, 0.034], [18855, 0.141], [18856, 0.1], [18857, 0.42], + [18858, 0.276], [18859, 0.803], [18860, 0.418], [18861, 0.781], + [18862, 0.493], [18863, 0.871], [18864, 0.235], [18865, 0.292], + [18866, 0.089], [18867, 0.023], [18884, 0.095], [18885, 0.049], + [18886, 0.34], [18887, 0.327], [18888, 0.66], [18889, 0.632], + [18890, 0.97], [18891, 0.975], [18892, 0.979], [18893, 1.0], + [18894, 0.791], [18895, 0.824], [18896, 0.39], [18897, 0.23], + [18898, 0.008], [18916, 0.019], [18917, 0.078], [18918, 0.145], + [18919, 0.309], [18920, 0.401], [18921, 0.669], [18922, 0.815], + [18923, 0.97], [18924, 0.785], [18925, 0.977], [18926, 0.855], + [18927, 0.785], [18928, 0.291], [18929, 0.394], [18930, 0.015], + [18931, 0.009], [18987, 0.1], [18988, 0.165], [18989, 0.183], + [18990, 0.28], [18991, 0.245], [18992, 0.268], [18993, 0.227], + [18994, 0.256], [18995, 0.245], [18996, 0.305], [18997, 0.206], + [18998, 0.191], [18999, 0.271], [19001, 0.029], [19033, 0.009], + [19034, 0.06], [19035, 0.024], [19036, 0.116], [19037, 0.04], + [19038, 0.201], [19039, 0.107], [19040, 0.259], [19041, 0.162], + [19042, 0.263], [19043, 0.217], [19044, 0.245], [19045, 0.225], + [19046, 0.221], [19047, 0.351], [19048, 0.284], [19049, 0.197], + [19050, 0.026], [19051, 0.007], [19064, 0.008], [19066, 0.022], + [19067, 0.013], [19068, 0.034], [19069, 0.141], [19070, 0.1], + [19071, 0.42], [19072, 0.276], [19073, 0.803], [19074, 0.418], + [19075, 0.781], [19076, 0.493], [19077, 0.871], [19078, 0.235], + [19079, 0.292], [19080, 0.089], [19081, 0.023], [19098, 0.095], + [19099, 0.049], [19100, 0.34], [19101, 0.327], [19102, 0.66], + [19103, 0.632], [19104, 0.97], [19105, 0.975], [19106, 0.979], + [19107, 1.0], [19108, 0.791], [19109, 0.824], [19110, 0.39], + [19111, 0.23], [19112, 0.008], [19130, 0.019], [19131, 0.078], + [19132, 0.145], [19133, 0.309], [19134, 0.401], [19135, 0.669], + [19136, 0.815], [19137, 0.97], [19138, 0.785], [19139, 0.977], + [19140, 0.855], [19141, 0.785], [19142, 0.291], [19143, 0.394], + [19144, 0.015], [19145, 0.009] + ], + "spine02": [ + [1357, 0.002], [1358, 0.01], [1359, 0.019], [1360, 0.092], + [1361, 0.203], [1362, 0.239], [1363, 0.275], [1364, 0.283], + [1365, 0.007], [1368, 0.03], [1369, 0.06], [1370, 0.124], + [1371, 0.175], [1372, 0.214], [1373, 0.253], [1374, 0.255], + [1375, 0.009], [1378, 0.037], [1379, 0.073], [1380, 0.151], + [1381, 0.196], [1382, 0.229], [1383, 0.262], [1384, 0.266], + [1388, 0.039], [1389, 0.13], [1390, 0.231], [1391, 0.257], + [1392, 0.279], [1393, 0.301], [1394, 0.294], [1395, 0.01], + [1398, 0.042], [1399, 0.249], [1400, 0.333], [1401, 0.447], + [1402, 0.559], [1403, 0.084], [1406, 0.002], [1407, 0.008], + [1408, 0.016], [1409, 0.059], [1410, 0.204], [1411, 0.346], + [1412, 0.488], [1413, 0.541], [1420, 0.237], [1421, 0.392], + [1422, 0.548], [1423, 0.627], [1432, 0.005], [1433, 0.019], + [1434, 0.038], [1435, 0.111], [1436, 0.22], [1437, 0.272], + [1438, 0.325], [1439, 0.338], [1442, 0.002], [1443, 0.008], + [1444, 0.016], [1445, 0.021], [1446, 0.211], [1447, 0.371], + [1448, 0.532], [1449, 0.612], [1461, 0.009], [1471, 0.175], + [1472, 0.651], [1473, 0.652], [1474, 0.561], [1475, 0.112], + [1476, 0.445], [1477, 0.329], [1502, 0.247], [1506, 0.238], + [1507, 0.303], [1508, 0.175], [1509, 0.111], [1510, 0.009], + [1513, 0.018], [1514, 0.053], [1515, 0.035], [1516, 0.053], + [1517, 0.004], [1521, 0.007], [1522, 0.007], [1523, 0.051], + [1524, 0.052], [1525, 0.113], [1526, 0.116], [1527, 0.18], + [1528, 0.184], [1529, 0.385], [1530, 0.467], [1531, 0.539], + [1532, 0.405], [1533, 0.381], [1534, 0.336], [1535, 0.292], + [1536, 0.24], [1562, 0.038], [1563, 0.125], [1564, 0.212], + [1569, 0.093], [1570, 0.185], [1574, 0.033], [1575, 0.133], + [1576, 0.234], [1580, 0.075], [1581, 0.184], [1582, 0.293], + [1586, 0.151], [1587, 0.253], [1588, 0.355], [1592, 0.142], + [1593, 0.246], [1594, 0.351], [1598, 0.142], [1599, 0.246], + [1600, 0.351], [1612, 0.09], [1613, 0.223], [1614, 0.415], + [1622, 0.247], [1623, 0.408], [1624, 0.511], [1631, 0.009], + [1632, 0.009], [1633, 0.321], [1634, 0.492], [1642, 0.007], + [1653, 0.032], [1663, 0.021], [1664, 0.008], [1665, 0.15], + [1666, 0.036], [1668, 0.087], [1674, 0.005], [1677, 0.223], + [1678, 0.104], [1679, 0.043], [1680, 0.021], [1682, 0.452], + [1683, 0.403], [1684, 0.313], [1690, 0.579], [1691, 0.338], + [1692, 0.209], [1693, 0.079], [1762, 0.158], [1763, 0.157], + [1764, 0.156], [1765, 0.154], [1766, 0.152], [1767, 0.15], + [1768, 0.147], [1769, 0.145], [1770, 0.142], [1771, 0.141], + [1772, 0.143], [1773, 0.148], [1774, 0.152], [1775, 0.155], + [1776, 0.157], [1777, 0.159], [1778, 0.153], [1779, 0.152], + [1780, 0.15], [1781, 0.148], [1782, 0.146], [1783, 0.143], + [1784, 0.141], [1785, 0.14], [1786, 0.14], [1787, 0.142], + [1788, 0.142], [1789, 0.145], [1790, 0.147], [1791, 0.149], + [1792, 0.151], [1793, 0.152], [1794, 0.169], [1795, 0.168], + [1796, 0.167], [1797, 0.166], [1798, 0.164], [1799, 0.162], + [1800, 0.16], [1801, 0.152], [1802, 0.155], [1803, 0.16], + [1804, 0.149], [1805, 0.155], [1806, 0.16], [1807, 0.164], + [1808, 0.167], [1809, 0.169], [1810, 0.187], [1811, 0.185], + [1812, 0.189], [1813, 0.192], [1814, 0.195], [1815, 0.196], + [1816, 0.177], [1817, 0.176], [1818, 0.184], [1819, 0.191], + [1820, 0.178], [1821, 0.183], [1822, 0.185], [1823, 0.187], + [1824, 0.185], [1825, 0.187], [1826, 0.216], [1827, 0.229], + [1828, 0.268], [1829, 0.306], [1830, 0.344], [1831, 0.38], + [1832, 0.332], [1833, 0.301], [1834, 0.303], [1835, 0.272], + [1836, 0.262], [1837, 0.286], [1838, 0.275], [1839, 0.264], + [1840, 0.218], [1841, 0.209], [1842, 0.235], [1843, 0.249], + [1844, 0.33], [1845, 0.39], [1846, 0.45], [1847, 0.489], + [1848, 0.484], [1849, 0.434], [1850, 0.404], [1851, 0.396], + [1852, 0.416], [1853, 0.387], [1854, 0.344], [1855, 0.302], + [1856, 0.247], [1857, 0.22], [1858, 0.255], [1859, 0.275], + [1860, 0.408], [1861, 0.575], [1862, 0.587], [1863, 0.642], + [1864, 0.613], [1865, 0.538], [1866, 0.5], [1867, 0.506], + [1868, 0.533], [1869, 0.536], [1870, 0.481], [1871, 0.352], + [1872, 0.294], [1873, 0.246], [1874, 0.201], [1875, 0.203], + [1876, 0.236], [1877, 0.264], [1878, 0.205], [1879, 0.224], + [1880, 0.205], [1881, 0.233], [1882, 0.26], [1883, 0.25], + [1884, 0.222], [1885, 0.227], [1886, 0.243], [1887, 0.236], + [1888, 0.222], [1889, 0.257], [1890, 0.704], [1891, 0.741], + [1892, 0.778], [1893, 0.766], [1894, 0.705], [1895, 0.741], + [1896, 0.778], [1897, 0.765], [3751, 0.011], [3752, 0.026], + [3753, 0.025], [3754, 0.023], [3755, 0.019], [3756, 0.006], + [3757, 0.012], [3758, 0.013], [3759, 0.005], [3760, 0.005], + [3837, 0.008], [3841, 0.035], [3842, 0.048], [3843, 0.048], + [3844, 0.022], [3849, 0.018], [3871, 0.009], [3923, 0.612], + [3924, 0.651], [3925, 0.666], [3926, 0.35], [3927, 0.311], + [3928, 0.349], [3929, 0.386], [3930, 0.444], [3931, 0.456], + [3932, 0.456], [3933, 0.585], [3934, 0.611], [3935, 0.63], + [3936, 0.5], [3937, 0.66], [3938, 0.659], [3939, 0.712], + [3940, 0.531], [3941, 0.505], [3942, 0.489], [3943, 0.472], + [3944, 0.512], [3945, 0.563], [3946, 0.563], [3947, 0.638], + [3948, 0.618], [3949, 0.636], [3950, 0.624], [3951, 0.649], + [3952, 0.603], [3953, 0.653], [3954, 0.672], [3955, 0.676], + [3956, 0.619], [3957, 0.563], [3958, 0.623], [3959, 0.712], + [3960, 0.712], [3961, 0.62], [3962, 0.595], [3963, 0.594], + [3964, 0.651], [3965, 0.593], [3966, 0.501], [3967, 0.564], + [3968, 0.679], [3969, 0.705], [3970, 0.676], [3971, 0.647], + [3972, 0.711], [3973, 0.76], [3974, 0.76], [3975, 0.547], + [3976, 0.498], [3977, 0.48], [3978, 0.614], [3979, 0.494], + [3980, 0.359], [3981, 0.422], [3982, 0.647], [3983, 0.718], + [3984, 0.734], [3985, 0.748], [3986, 0.758], [3987, 0.788], + [3988, 0.788], [3989, 0.456], [3990, 0.387], [3991, 0.349], + [3992, 0.553], [3993, 0.317], [3994, 0.196], [3995, 0.243], + [3996, 0.519], [3997, 0.608], [3998, 0.639], [3999, 0.667], + [4000, 0.667], [4001, 0.676], [4002, 0.676], [4003, 0.361], + [4004, 0.265], [4005, 0.198], [4006, 0.444], [4007, 0.126], + [4008, 0.067], [4009, 0.077], [4010, 0.377], [4011, 0.456], + [4012, 0.492], [4013, 0.521], [4014, 0.509], [4015, 0.516], + [4016, 0.516], [4017, 0.24], [4018, 0.147], [4019, 0.088], + [4020, 0.317], [4021, 0.056], [4022, 0.033], [4023, 0.023], + [4024, 0.247], [4025, 0.289], [4026, 0.291], [4027, 0.284], + [4028, 0.249], [4029, 0.248], [4030, 0.248], [4031, 0.112], + [4032, 0.054], [4033, 0.036], [4034, 0.179], [4035, 0.038], + [4037, 0.003], [4038, 0.137], [4039, 0.164], [4040, 0.194], + [4041, 0.197], [4042, 0.196], [4043, 0.186], [4044, 0.188], + [4045, 0.188], [4046, 0.118], [4049, 0.03], [4050, 0.031], + [4052, 0.001], [4053, 0.139], [4055, 0.047], [4056, 0.056], + [4057, 0.068], [4058, 0.052], [4059, 0.041], [4060, 0.041], + [4064, 0.497], [4065, 0.574], [4066, 0.613], [4067, 0.525], + [4068, 0.585], [4069, 0.118], [4070, 0.689], [4071, 0.338], + [4072, 0.596], [4073, 0.615], [4074, 0.11], [4075, 0.338], + [4076, 0.689], [4077, 0.311], [4078, 0.609], [4079, 0.586], + [4080, 0.15], [4081, 0.29], [4082, 0.754], [4083, 0.493], + [4084, 0.459], [4085, 0.41], [4086, 0.285], [4087, 0.522], + [4088, 0.754], [4089, 0.53], [4090, 0.27], [4091, 0.233], + [4092, 0.506], [4093, 0.53], [4094, 0.642], [4095, 0.682], + [4096, 0.137], [4097, 0.146], [4098, 0.573], [4099, 0.643], + [4100, 0.713], [4101, 0.412], [4102, 0.203], [4103, 0.1], + [4104, 0.068], [4106, 0.092], [4107, 0.092], [4108, 0.071], + [4109, 0.063], [4110, 0.063], [4111, 0.065], [4112, 0.065], + [4113, 0.067], [4114, 0.068], [4115, 0.068], [4116, 0.054], + [4117, 0.054], [4118, 0.058], [4119, 0.063], [4120, 0.063], + [4121, 0.058], [4122, 0.122], [4123, 0.125], [4124, 0.11], + [4125, 0.128], [4126, 0.146], [4127, 0.062], [4128, 0.017], + [4133, 0.094], [4134, 0.091], [4135, 0.091], [4136, 0.104], + [4137, 0.116], [4138, 0.051], [4141, 0.038], [4142, 0.002], + [4144, 0.079], [4145, 0.137], [4146, 0.123], [4147, 0.12], + [4148, 0.12], [4149, 0.072], [4150, 0.112], [4151, 0.205], + [4152, 0.125], [4153, 0.07], [4154, 0.205], [4155, 0.185], + [4156, 0.19], [4157, 0.176], [4158, 0.16], [4159, 0.112], + [4160, 0.007], [4161, 0.071], [4162, 0.063], [4163, 0.083], + [4169, 0.04], [4170, 0.086], [4171, 0.084], [4177, 0.005], + [4178, 0.011], [4179, 0.019], [4180, 0.022], [4181, 0.022], + [4186, 0.007], [4274, 0.004], [4317, 0.012], [4318, 0.018], + [4319, 0.022], [4320, 0.03], [4321, 0.013], [4322, 0.014], + [4323, 0.009], [4325, 0.013], [4326, 0.022], [4328, 0.024], + [4331, 0.007], [4332, 0.011], [4334, 0.012], [4337, 0.003], + [4338, 0.005], [4340, 0.006], [4357, 0.012], [4358, 0.009], + [4359, 0.004], [4360, 0.002], [4363, 0.068], [4364, 0.06], + [4365, 0.044], [4366, 0.05], [4367, 0.05], [4368, 0.058], + [4369, 0.06], [4397, 0.022], [8049, 0.002], [8050, 0.01], + [8051, 0.019], [8052, 0.092], [8053, 0.203], [8054, 0.239], + [8055, 0.275], [8056, 0.283], [8057, 0.007], [8060, 0.03], + [8061, 0.06], [8062, 0.124], [8063, 0.175], [8064, 0.214], + [8065, 0.253], [8066, 0.255], [8067, 0.009], [8070, 0.037], + [8071, 0.073], [8072, 0.151], [8073, 0.196], [8074, 0.229], + [8075, 0.262], [8076, 0.266], [8080, 0.039], [8081, 0.13], + [8082, 0.231], [8083, 0.257], [8084, 0.279], [8085, 0.301], + [8086, 0.294], [8087, 0.01], [8090, 0.042], [8091, 0.084], + [8094, 0.002], [8095, 0.008], [8096, 0.016], [8097, 0.059], + [8098, 0.204], [8099, 0.346], [8100, 0.488], [8101, 0.541], + [8108, 0.237], [8109, 0.392], [8110, 0.548], [8111, 0.627], + [8120, 0.005], [8121, 0.019], [8122, 0.038], [8123, 0.111], + [8124, 0.22], [8125, 0.272], [8126, 0.325], [8127, 0.338], + [8130, 0.002], [8131, 0.008], [8132, 0.016], [8133, 0.021], + [8134, 0.211], [8135, 0.371], [8136, 0.532], [8137, 0.612], + [8149, 0.009], [8158, 0.175], [8159, 0.652], [8160, 0.561], + [8161, 0.112], [8162, 0.445], [8163, 0.329], [8186, 0.247], + [8190, 0.238], [8191, 0.303], [8192, 0.175], [8193, 0.111], + [8194, 0.009], [8197, 0.018], [8198, 0.053], [8199, 0.035], + [8200, 0.053], [8201, 0.004], [8205, 0.007], [8206, 0.051], + [8207, 0.113], [8208, 0.18], [8209, 0.385], [8210, 0.467], + [8211, 0.539], [8212, 0.405], [8213, 0.381], [8214, 0.336], + [8215, 0.292], [8216, 0.24], [8240, 0.038], [8241, 0.125], + [8242, 0.212], [8247, 0.093], [8248, 0.185], [8252, 0.033], + [8253, 0.133], [8254, 0.234], [8258, 0.075], [8259, 0.184], + [8260, 0.293], [8264, 0.151], [8265, 0.253], [8266, 0.355], + [8270, 0.142], [8271, 0.246], [8272, 0.351], [8284, 0.09], + [8285, 0.223], [8286, 0.415], [8294, 0.247], [8295, 0.408], + [8296, 0.511], [8303, 0.009], [8304, 0.009], [8305, 0.321], + [8306, 0.492], [8314, 0.007], [8325, 0.032], [8335, 0.021], + [8336, 0.008], [8337, 0.15], [8338, 0.036], [8340, 0.087], + [8346, 0.005], [8349, 0.223], [8350, 0.104], [8351, 0.043], + [8352, 0.021], [8354, 0.452], [8355, 0.403], [8356, 0.313], + [8362, 0.579], [8363, 0.338], [8364, 0.209], [8365, 0.079], + [8434, 0.158], [8435, 0.157], [8436, 0.156], [8437, 0.154], + [8438, 0.152], [8439, 0.15], [8440, 0.147], [8441, 0.145], + [8442, 0.142], [8443, 0.141], [8444, 0.143], [8445, 0.148], + [8446, 0.152], [8447, 0.155], [8448, 0.157], [8449, 0.159], + [8450, 0.153], [8451, 0.152], [8452, 0.15], [8453, 0.148], + [8454, 0.146], [8455, 0.143], [8456, 0.141], [8457, 0.14], + [8458, 0.14], [8459, 0.142], [8460, 0.142], [8461, 0.145], + [8462, 0.147], [8463, 0.149], [8464, 0.151], [8465, 0.152], + [8466, 0.169], [8467, 0.168], [8468, 0.167], [8469, 0.166], + [8470, 0.164], [8471, 0.162], [8472, 0.16], [8473, 0.152], + [8474, 0.155], [8475, 0.16], [8476, 0.149], [8477, 0.155], + [8478, 0.16], [8479, 0.164], [8480, 0.167], [8481, 0.169], + [8482, 0.187], [8483, 0.185], [8484, 0.189], [8485, 0.192], + [8486, 0.195], [8487, 0.196], [8488, 0.177], [8489, 0.176], + [8490, 0.184], [8491, 0.191], [8492, 0.178], [8493, 0.183], + [8494, 0.185], [8495, 0.187], [8496, 0.185], [8497, 0.187], + [8498, 0.216], [8499, 0.229], [8500, 0.268], [8501, 0.306], + [8502, 0.344], [8503, 0.38], [8504, 0.332], [8505, 0.301], + [8506, 0.303], [8507, 0.272], [8508, 0.262], [8509, 0.286], + [8510, 0.275], [8511, 0.264], [8512, 0.218], [8513, 0.209], + [8514, 0.235], [8515, 0.249], [8516, 0.33], [8517, 0.39], + [8518, 0.45], [8519, 0.489], [8520, 0.484], [8521, 0.434], + [8522, 0.404], [8523, 0.396], [8524, 0.416], [8525, 0.387], + [8526, 0.344], [8527, 0.302], [8528, 0.247], [8529, 0.22], + [8530, 0.255], [8531, 0.275], [8532, 0.408], [8533, 0.575], + [8534, 0.587], [8535, 0.642], [8536, 0.613], [8537, 0.538], + [8538, 0.5], [8539, 0.506], [8540, 0.533], [8541, 0.536], + [8542, 0.481], [8543, 0.352], [8544, 0.294], [8545, 0.246], + [8546, 0.201], [8547, 0.203], [8548, 0.236], [8549, 0.264], + [8550, 0.205], [8551, 0.224], [8552, 0.205], [8553, 0.233], + [8554, 0.26], [8555, 0.25], [8556, 0.222], [8557, 0.227], + [8558, 0.243], [8559, 0.236], [8560, 0.222], [8561, 0.257], + [8562, 0.705], [8563, 0.741], [8564, 0.778], [8565, 0.765], + [10418, 0.011], [10419, 0.026], [10420, 0.025], [10421, 0.023], + [10422, 0.019], [10423, 0.006], [10424, 0.012], [10425, 0.013], + [10426, 0.005], [10427, 0.005], [10503, 0.008], [10507, 0.035], + [10508, 0.048], [10509, 0.022], [10514, 0.018], [10536, 0.009], + [10588, 0.612], [10589, 0.651], [10590, 0.666], [10591, 0.35], + [10592, 0.311], [10593, 0.349], [10594, 0.386], [10595, 0.444], + [10596, 0.456], [10597, 0.585], [10598, 0.611], [10599, 0.63], + [10600, 0.5], [10601, 0.66], [10602, 0.659], [10603, 0.712], + [10604, 0.531], [10605, 0.505], [10606, 0.489], [10607, 0.472], + [10608, 0.512], [10609, 0.563], [10610, 0.638], [10611, 0.618], + [10612, 0.636], [10613, 0.624], [10614, 0.649], [10615, 0.603], + [10616, 0.653], [10617, 0.672], [10618, 0.676], [10619, 0.619], + [10620, 0.563], [10621, 0.623], [10622, 0.712], [10623, 0.62], + [10624, 0.595], [10625, 0.594], [10626, 0.651], [10627, 0.593], + [10628, 0.501], [10629, 0.564], [10630, 0.679], [10631, 0.705], + [10632, 0.676], [10633, 0.647], [10634, 0.711], [10635, 0.76], + [10636, 0.547], [10637, 0.498], [10638, 0.48], [10639, 0.614], + [10640, 0.494], [10641, 0.359], [10642, 0.422], [10643, 0.647], + [10644, 0.718], [10645, 0.734], [10646, 0.748], [10647, 0.758], + [10648, 0.788], [10649, 0.456], [10650, 0.387], [10651, 0.349], + [10652, 0.553], [10653, 0.317], [10654, 0.196], [10655, 0.243], + [10656, 0.519], [10657, 0.608], [10658, 0.639], [10659, 0.667], + [10660, 0.667], [10661, 0.676], [10662, 0.361], [10663, 0.265], + [10664, 0.198], [10665, 0.444], [10666, 0.126], [10667, 0.067], + [10668, 0.077], [10669, 0.377], [10670, 0.456], [10671, 0.492], + [10672, 0.521], [10673, 0.509], [10674, 0.516], [10675, 0.24], + [10676, 0.147], [10677, 0.088], [10678, 0.317], [10679, 0.056], + [10680, 0.033], [10681, 0.023], [10682, 0.247], [10683, 0.289], + [10684, 0.291], [10685, 0.284], [10686, 0.249], [10687, 0.248], + [10688, 0.112], [10689, 0.054], [10690, 0.036], [10691, 0.179], + [10692, 0.038], [10694, 0.003], [10695, 0.137], [10696, 0.164], + [10697, 0.194], [10698, 0.197], [10699, 0.196], [10700, 0.186], + [10701, 0.188], [10702, 0.118], [10705, 0.03], [10706, 0.031], + [10708, 0.001], [10709, 0.139], [10711, 0.047], [10712, 0.056], + [10713, 0.068], [10714, 0.052], [10715, 0.041], [10719, 0.497], + [10720, 0.574], [10721, 0.613], [10722, 0.525], [10723, 0.585], + [10724, 0.596], [10725, 0.615], [10726, 0.11], [10727, 0.338], + [10728, 0.689], [10729, 0.311], [10730, 0.609], [10731, 0.586], + [10732, 0.15], [10733, 0.29], [10734, 0.754], [10735, 0.493], + [10736, 0.459], [10737, 0.41], [10738, 0.285], [10739, 0.522], + [10740, 0.53], [10741, 0.27], [10742, 0.233], [10743, 0.506], + [10744, 0.642], [10745, 0.682], [10746, 0.137], [10747, 0.146], + [10748, 0.573], [10749, 0.643], [10750, 0.713], [10751, 0.412], + [10752, 0.203], [10753, 0.1], [10754, 0.068], [10756, 0.092], + [10757, 0.071], [10758, 0.063], [10759, 0.065], [10760, 0.067], + [10761, 0.068], [10762, 0.054], [10763, 0.058], [10764, 0.063], + [10765, 0.122], [10766, 0.125], [10767, 0.11], [10768, 0.128], + [10769, 0.146], [10770, 0.062], [10771, 0.017], [10776, 0.094], + [10777, 0.091], [10778, 0.091], [10779, 0.104], [10780, 0.116], + [10781, 0.051], [10784, 0.038], [10785, 0.002], [10787, 0.079], + [10788, 0.137], [10789, 0.123], [10790, 0.12], [10791, 0.072], + [10792, 0.112], [10793, 0.205], [10794, 0.125], [10795, 0.07], + [10796, 0.185], [10797, 0.19], [10798, 0.176], [10799, 0.16], + [10800, 0.112], [10801, 0.007], [10802, 0.071], [10803, 0.063], + [10804, 0.083], [10810, 0.04], [10811, 0.086], [10812, 0.084], + [10818, 0.005], [10819, 0.011], [10820, 0.019], [10821, 0.022], + [10826, 0.007], [10904, 0.004], [10947, 0.018], [10948, 0.022], + [10949, 0.03], [10950, 0.013], [10951, 0.014], [10953, 0.013], + [10954, 0.022], [10956, 0.024], [10958, 0.007], [10959, 0.011], + [10961, 0.012], [10963, 0.003], [10964, 0.005], [10966, 0.006], + [10981, 0.012], [10982, 0.009], [10983, 0.004], [10984, 0.002], + [10987, 0.068], [10988, 0.06], [10989, 0.044], [10990, 0.05], + [10991, 0.058], [10992, 0.06], [11015, 0.022], [13654, 1.0], + [13655, 1.0], [13656, 1.0], [13657, 1.0], [13658, 1.0], + [13659, 1.0], [13660, 1.0], [13661, 1.0], [15558, 0.02], + [15559, 0.074], [15561, 0.116], [15562, 0.135], [15565, 0.028], + [15566, 0.075], [15568, 0.108], [15569, 0.128], [15572, 0.043], + [15573, 0.093], [15575, 0.118], [15576, 0.134], [15579, 0.064], + [15580, 0.124], [15581, 0.15], [15582, 0.166], [15583, 0.303], + [15584, 0.258], [15585, 0.184], [15586, 0.173], [15596, 0.013], + [15597, 0.087], [15599, 0.14], [15600, 0.163], [15603, 0.004], + [15604, 0.082], [15606, 0.181], [15607, 0.248], [15608, 0.186], + [15609, 0.219], [15615, 0.211], [15621, 0.028], [15622, 0.077], + [15624, 0.004], [15625, 0.063], [15627, 0.027], [15628, 0.092], + [15630, 0.066], [15631, 0.135], [15640, 0.276], [15642, 0.137], + [15643, 0.23], [15649, 0.294], [15650, 0.008], [15651, 0.186], + [15652, 0.254], [15659, 0.002], [15660, 0.005], [15675, 0.025], + [15686, 0.103], [15687, 0.019], [15688, 0.218], [15689, 0.168], + [15690, 0.129], [15691, 0.06], [15725, 0.263], [15726, 0.251], + [15727, 0.269], [15728, 0.282], [15729, 0.315], [15730, 0.316], + [15731, 0.329], [15732, 0.344], [15733, 0.215], [15734, 0.303], + [15735, 0.13], [15736, 0.166], [15737, 0.316], [15738, 0.267], + [15739, 0.244], [15740, 0.266], [15741, 0.279], [15742, 0.213], + [15743, 0.176], [15744, 0.141], [15745, 0.124], [15747, 0.036], + [15768, 0.172], [15772, 0.122], [15781, 0.113], [15792, 0.139], + [15803, 0.26], [15815, 0.184], [15838, 0.28], [15848, 0.312], + [15850, 0.309], [15861, 0.222], [15871, 0.318], [15873, 0.168], + [15878, 0.012], [15879, 0.01], [15880, 0.004], [15881, 0.007], + [15882, 0.003], [15892, 0.003], [15895, 0.008], [15896, 0.077], + [15897, 0.297], [15898, 0.239], [15899, 0.297], [15900, 0.009], + [15901, 0.253], [15902, 0.004], [15904, 0.026], [15905, 0.078], + [15906, 0.157], [15907, 0.313], [15942, 0.288], [15943, 0.121], + [15944, 0.114], [15945, 0.148], [15946, 0.185], [15947, 0.275], + [15948, 0.298], [15949, 0.199], [15950, 0.329], [15951, 0.338], + [15952, 0.335], [15953, 0.298], [15954, 0.319], [15955, 0.29], + [15956, 0.305], [15957, 0.321], [15958, 0.267], [15959, 0.335], + [15960, 0.355], [15961, 0.351], [15962, 0.366], [15963, 0.223], + [15964, 0.23], [15965, 0.292], [15966, 0.204], [15967, 0.305], + [15968, 0.342], [15969, 0.361], [15970, 0.368], [15971, 0.181], + [15972, 0.177], [15973, 0.269], [15974, 0.122], [15975, 0.244], + [15976, 0.28], [15977, 0.3], [15978, 0.307], [15979, 0.118], + [15980, 0.098], [15981, 0.207], [15982, 0.018], [15983, 0.15], + [15984, 0.169], [15985, 0.16], [15986, 0.163], [15987, 0.037], + [15988, 0.023], [15989, 0.119], [15990, 0.006], [15991, 0.069], + [15993, 0.023], [15994, 0.07], [15995, 0.24], [15996, 0.309], + [15997, 0.236], [15998, 0.28], [15999, 0.301], [16000, 0.302], + [16001, 0.052], [16002, 0.127], [16003, 0.258], [16004, 0.26], + [16005, 0.088], [16006, 0.132], [16007, 0.135], [16008, 0.128], + [16009, 0.206], [16010, 0.319], [16011, 0.264], [16012, 0.069], + [16013, 0.074], [16014, 0.27], [16015, 0.254], [16016, 0.342], + [16017, 0.152], [16018, 0.046], [16019, 0.028], [16021, 0.002], + [16023, 0.049], [16024, 0.048], [16025, 0.047], [16026, 0.052], + [16027, 0.059], [16028, 0.021], [16029, 0.068], [16030, 0.046], + [16031, 0.061], [16032, 0.068], [16033, 0.033], [16034, 0.03], + [16035, 0.038], [16038, 0.012], [16039, 0.039], [16040, 0.038], + [16043, 0.001], [16044, 0.004], [16045, 0.008], [16046, 0.012], + [16050, 0.002], [16104, 0.007], [16105, 0.01], [16107, 0.012], + [16109, 0.003], [16110, 0.004], [16112, 0.004], [16123, 0.016], + [16124, 0.016], [16125, 0.016], [16126, 0.016], [16127, 0.022], + [16135, 0.004], [16441, 0.264], [16442, 0.345], [16443, 0.341], + [16444, 0.325], [16445, 0.312], [16446, 0.306], [16447, 0.148], + [16448, 0.099], [16449, 0.128], [16450, 0.101], [16451, 0.34], + [16452, 0.341], [16453, 0.319], [16454, 0.259], [16455, 0.11], + [16456, 0.086], [16457, 0.306], [16458, 0.2], [16460, 0.306], + [16461, 0.322], [16462, 0.318], [16463, 0.317], [16464, 0.127], + [16465, 0.299], [16466, 0.275], [16467, 0.127], [16468, 0.099], + [16469, 0.107], [16470, 0.153], [16471, 0.166], [16472, 0.094], + [16473, 0.073], [16474, 0.101], [16475, 0.08], [16476, 0.131], + [16477, 0.218], [16478, 0.18], [16479, 0.269], [16480, 0.368], + [16481, 0.245], [16482, 0.041], [16483, 0.059], [16484, 0.137], + [16485, 0.354], [16486, 0.256], [16487, 0.035], [16488, 0.324], + [16489, 0.257], [16491, 0.258], [16492, 0.271], [16495, 0.015], + [16496, 0.071], [16497, 0.136], [16498, 0.182], [16499, 0.222], + [16500, 0.291], [16501, 0.329], [16502, 0.36], [16503, 0.375], + [16504, 0.386], [16505, 0.382], [16506, 0.32], [16507, 0.176], + [16508, 0.07], [16509, 0.013], [16525, 0.002], [16526, 0.004], + [16527, 0.016], [16528, 0.029], [16529, 0.329], [16530, 0.326], + [16531, 0.315], [16532, 0.296], [16533, 0.241], [16534, 0.228], + [16535, 0.226], [16536, 0.243], [16537, 0.161], [16538, 0.113], + [16539, 0.105], [16540, 0.131], [16541, 0.282], [16542, 0.208], + [16543, 0.309], [16544, 0.276], [16545, 0.255], [16574, 0.004], + [16862, 0.02], [16863, 0.074], [16865, 0.116], [16866, 0.135], + [16869, 0.028], [16870, 0.075], [16872, 0.108], [16873, 0.128], + [16876, 0.043], [16877, 0.093], [16879, 0.118], [16880, 0.134], + [16883, 0.064], [16884, 0.124], [16885, 0.15], [16886, 0.166], + [16887, 0.303], [16888, 0.258], [16889, 0.184], [16890, 0.173], + [16900, 0.013], [16901, 0.087], [16903, 0.14], [16904, 0.163], + [16907, 0.004], [16908, 0.082], [16910, 0.181], [16911, 0.248], + [16912, 0.101], [16913, 0.186], [16914, 0.219], [16916, 0.222], + [16917, 0.276], [16918, 0.22], [16919, 0.167], [16924, 0.211], + [16930, 0.028], [16931, 0.077], [16933, 0.004], [16934, 0.063], + [16936, 0.027], [16937, 0.092], [16939, 0.066], [16940, 0.135], + [16942, 0.077], [16943, 0.136], [16952, 0.276], [16954, 0.137], + [16955, 0.23], [16961, 0.294], [16962, 0.008], [16963, 0.186], + [16964, 0.254], [16971, 0.002], [16972, 0.005], [16987, 0.025], + [16998, 0.103], [16999, 0.019], [17000, 0.218], [17001, 0.168], + [17002, 0.129], [17003, 0.06], [17037, 0.282], [17038, 0.263], + [17039, 0.251], [17040, 0.269], [17041, 0.282], [17042, 0.315], + [17043, 0.316], [17044, 0.329], [17045, 0.344], [17046, 0.215], + [17047, 0.303], [17048, 0.13], [17049, 0.166], [17050, 0.319], + [17051, 0.381], [17052, 0.316], [17053, 0.267], [17054, 0.244], + [17055, 0.266], [17056, 0.279], [17057, 0.213], [17058, 0.176], + [17059, 0.141], [17060, 0.124], [17061, 0.057], [17063, 0.036], + [17076, 0.349], [17085, 0.172], [17089, 0.122], [17098, 0.113], + [17109, 0.139], [17120, 0.26], [17132, 0.184], [17155, 0.28], + [17165, 0.312], [17167, 0.309], [17178, 0.222], [17188, 0.318], + [17190, 0.168], [17195, 0.012], [17196, 0.01], [17197, 0.004], + [17198, 0.007], [17199, 0.003], [17209, 0.003], [17212, 0.008], + [17213, 0.018], [17214, 0.077], [17215, 0.297], [17216, 0.239], + [17217, 0.297], [17218, 0.009], [17219, 0.253], [17220, 0.004], + [17222, 0.026], [17223, 0.078], [17224, 0.157], [17225, 0.313], + [17261, 0.288], [17262, 0.121], [17263, 0.114], [17264, 0.148], + [17265, 0.185], [17266, 0.182], [17267, 0.275], [17268, 0.298], + [17269, 0.199], [17270, 0.329], [17271, 0.338], [17272, 0.335], + [17273, 0.298], [17274, 0.319], [17275, 0.29], [17276, 0.305], + [17277, 0.321], [17278, 0.267], [17279, 0.335], [17280, 0.355], + [17281, 0.351], [17282, 0.366], [17283, 0.386], [17284, 0.223], + [17285, 0.23], [17286, 0.292], [17287, 0.204], [17288, 0.305], + [17289, 0.342], [17290, 0.361], [17291, 0.368], [17292, 0.181], + [17293, 0.177], [17294, 0.269], [17295, 0.122], [17296, 0.244], + [17297, 0.28], [17298, 0.3], [17299, 0.307], [17300, 0.118], + [17301, 0.098], [17302, 0.207], [17303, 0.018], [17304, 0.15], + [17305, 0.169], [17306, 0.16], [17307, 0.163], [17308, 0.037], + [17309, 0.023], [17310, 0.119], [17311, 0.006], [17312, 0.069], + [17313, 0.061], [17315, 0.023], [17316, 0.07], [17317, 0.24], + [17318, 0.309], [17319, 0.236], [17320, 0.28], [17321, 0.301], + [17322, 0.302], [17323, 0.052], [17324, 0.13], [17325, 0.257], + [17326, 0.127], [17327, 0.258], [17328, 0.26], [17329, 0.088], + [17330, 0.132], [17331, 0.351], [17332, 0.135], [17333, 0.128], + [17334, 0.206], [17335, 0.319], [17336, 0.264], [17337, 0.069], + [17338, 0.074], [17339, 0.27], [17340, 0.254], [17341, 0.342], + [17342, 0.152], [17343, 0.046], [17344, 0.028], [17346, 0.03], + [17347, 0.029], [17348, 0.002], [17350, 0.049], [17351, 0.048], + [17352, 0.047], [17353, 0.052], [17354, 0.059], [17355, 0.021], + [17356, 0.068], [17357, 0.046], [17358, 0.061], [17359, 0.068], + [17360, 0.033], [17361, 0.03], [17362, 0.038], [17365, 0.012], + [17366, 0.039], [17367, 0.038], [17370, 0.001], [17371, 0.004], + [17372, 0.008], [17373, 0.012], [17377, 0.002], [17433, 0.007], + [17434, 0.01], [17436, 0.012], [17438, 0.003], [17439, 0.004], + [17441, 0.004], [17452, 0.016], [17453, 0.016], [17454, 0.016], + [17455, 0.016], [17456, 0.022], [17464, 0.004], [17763, 0.386], + [17772, 0.264], [17773, 0.345], [17774, 0.341], [17775, 0.325], + [17776, 0.312], [17777, 0.306], [17778, 0.383], [17779, 0.148], + [17780, 0.099], [17781, 0.128], [17782, 0.101], [17783, 0.34], + [17784, 0.341], [17785, 0.319], [17786, 0.259], [17787, 0.11], + [17788, 0.086], [17789, 0.306], [17790, 0.2], [17792, 0.306], + [17793, 0.322], [17794, 0.318], [17795, 0.317], [17796, 0.127], + [17797, 0.299], [17798, 0.275], [17799, 0.127], [17800, 0.099], + [17801, 0.107], [17802, 0.153], [17803, 0.379], [17804, 0.388], + [17805, 0.166], [17806, 0.094], [17807, 0.073], [17808, 0.101], + [17809, 0.08], [17810, 0.131], [17811, 0.218], [17812, 0.18], + [17813, 0.269], [17814, 0.368], [17815, 0.245], [17816, 0.041], + [17817, 0.059], [17818, 0.137], [17819, 0.354], [17820, 0.256], + [17821, 0.035], [17822, 0.324], [17823, 0.257], [17825, 0.258], + [17826, 0.271], [17829, 0.015], [17830, 0.071], [17831, 0.136], + [17832, 0.182], [17833, 0.222], [17834, 0.291], [17835, 0.329], + [17836, 0.36], [17837, 0.375], [17838, 0.386], [17839, 0.382], + [17840, 0.32], [17841, 0.176], [17842, 0.07], [17843, 0.013], + [17859, 0.002], [17860, 0.004], [17861, 0.016], [17862, 0.029], + [17863, 0.329], [17864, 0.326], [17865, 0.315], [17866, 0.296], + [17867, 0.241], [17868, 0.228], [17869, 0.226], [17870, 0.243], + [17871, 0.255], [17872, 0.368], [17873, 0.161], [17874, 0.113], + [17875, 0.105], [17876, 0.131], [17877, 0.282], [17878, 0.208], + [17879, 0.309], [17880, 0.276], [17881, 0.255], [17916, 0.004], + [17952, 0.357], [17953, 0.389], [17954, 0.32], [17955, 0.176], + [17956, 0.074], [17957, 0.013], [17964, 0.004], [17968, 0.016], + [17974, 0.319], [17975, 0.371], [18004, 0.038], [18005, 0.01], + [18006, 0.059], [18007, 0.057], [18012, 0.043], [18019, 0.008], + [18025, 0.014], [18026, 0.021], [18028, 0.029], [18036, 0.012], + [18037, 0.06], [18040, 0.01], [18041, 0.059], [18042, 0.057], + [18047, 0.043], [18053, 0.008], [18060, 0.014], [18061, 0.021], + [18062, 0.007], [18064, 0.029], [18072, 0.012], [18073, 0.06], + [18080, 0.009], [18098, 0.009], [18152, 0.007], [18170, 0.007], + [18776, 0.057], [18777, 0.046], [18778, 0.271], [18779, 0.215], + [18780, 0.5], [18781, 0.301], [18782, 0.571], [18783, 0.219], + [18784, 0.763], [18785, 0.24], [18786, 0.746], [18787, 0.765], + [18788, 0.33], [18789, 0.436], [18826, 0.078], [18828, 0.204], + [18829, 0.164], [18830, 0.293], [18831, 0.25], [18832, 0.21], + [18833, 0.302], [18834, 0.247], [18835, 0.233], [18836, 0.749], + [18837, 0.707], [18838, 0.434], [18839, 0.376], [18862, 0.161], + [18863, 0.01], [18864, 0.655], [18865, 0.645], [18866, 0.582], + [18867, 0.749], [18869, 0.309], [18894, 0.186], [18895, 0.176], + [18896, 0.599], [18897, 0.77], [18898, 0.831], [18899, 0.867], + [18900, 0.275], [18901, 0.169], [18902, 0.008], [18926, 0.036], + [18927, 0.19], [18928, 0.65], [18929, 0.59], [18930, 0.766], + [18931, 0.835], [18932, 0.317], [18933, 0.282], [18935, 0.008], + [18990, 0.057], [18991, 0.046], [18992, 0.271], [18993, 0.215], + [18994, 0.5], [18995, 0.301], [18996, 0.571], [18997, 0.219], + [18998, 0.763], [18999, 0.24], [19000, 0.746], [19001, 0.765], + [19002, 0.33], [19003, 0.436], [19040, 0.078], [19042, 0.204], + [19043, 0.164], [19044, 0.293], [19045, 0.25], [19046, 0.21], + [19047, 0.302], [19048, 0.247], [19049, 0.233], [19050, 0.749], + [19051, 0.707], [19052, 0.434], [19053, 0.376], [19076, 0.161], + [19077, 0.01], [19078, 0.655], [19079, 0.645], [19080, 0.582], + [19081, 0.749], [19083, 0.309], [19108, 0.186], [19109, 0.176], + [19110, 0.599], [19111, 0.77], [19112, 0.831], [19113, 0.867], + [19114, 0.275], [19115, 0.169], [19116, 0.008], [19140, 0.036], + [19141, 0.19], [19142, 0.65], [19143, 0.59], [19144, 0.766], + [19145, 0.835], [19146, 0.317], [19147, 0.282], [19149, 0.008] + ], + "spine03": [ + [1362, 0.001], [1363, 0.002], [1364, 0.005], [1411, 0.011], + [1412, 0.023], [1413, 0.045], [1421, 0.021], [1422, 0.041], + [1423, 0.072], [1437, 0.002], [1438, 0.005], [1439, 0.009], + [1447, 0.017], [1448, 0.033], [1449, 0.066], [1472, 0.001], + [1473, 0.001], [1530, 0.001], [1531, 0.002], [1563, 0.007], + [1564, 0.014], [1569, 0.006], [1570, 0.013], [1575, 0.006], + [1576, 0.011], [1581, 0.005], [1582, 0.01], [1587, 0.004], + [1588, 0.008], [1593, 0.003], [1594, 0.006], [1599, 0.003], + [1600, 0.006], [1612, 0.003], [1613, 0.013], [1614, 0.026], + [1622, 0.013], [1623, 0.025], [1624, 0.044], [1633, 0.017], + [1634, 0.034], [1682, 0.025], [1683, 0.013], [1684, 0.006], + [1690, 0.06], [1691, 0.02], [1692, 0.01], [1762, 0.01], + [1763, 0.009], [1764, 0.01], [1765, 0.01], [1766, 0.011], + [1767, 0.011], [1768, 0.012], [1769, 0.013], [1770, 0.013], + [1771, 0.013], [1772, 0.012], [1773, 0.012], [1774, 0.011], + [1775, 0.011], [1776, 0.01], [1777, 0.01], [1778, 0.01], + [1779, 0.01], [1780, 0.01], [1781, 0.01], [1782, 0.011], + [1783, 0.011], [1784, 0.012], [1785, 0.012], [1786, 0.012], + [1787, 0.012], [1788, 0.012], [1789, 0.011], [1790, 0.011], + [1791, 0.01], [1792, 0.01], [1793, 0.01], [1794, 0.009], + [1795, 0.009], [1796, 0.009], [1797, 0.01], [1798, 0.011], + [1799, 0.012], [1800, 0.013], [1801, 0.013], [1802, 0.015], + [1803, 0.015], [1804, 0.014], [1805, 0.014], [1806, 0.013], + [1807, 0.011], [1808, 0.01], [1809, 0.01], [1810, 0.008], + [1811, 0.008], [1812, 0.009], [1813, 0.01], [1814, 0.011], + [1815, 0.013], [1816, 0.014], [1817, 0.016], [1818, 0.019], + [1819, 0.02], [1820, 0.018], [1821, 0.016], [1822, 0.014], + [1823, 0.012], [1824, 0.01], [1825, 0.009], [1828, 0.004], + [1829, 0.01], [1830, 0.015], [1831, 0.022], [1832, 0.025], + [1833, 0.029], [1834, 0.034], [1835, 0.034], [1836, 0.031], + [1837, 0.026], [1838, 0.02], [1839, 0.014], [1840, 0.006], + [1844, 0.003], [1845, 0.01], [1846, 0.016], [1847, 0.025], + [1848, 0.037], [1849, 0.045], [1850, 0.049], [1851, 0.052], + [1852, 0.056], [1853, 0.041], [1854, 0.028], [1855, 0.015], + [1856, 0.005], [1861, 0.005], [1862, 0.017], [1863, 0.029], + [1864, 0.066], [1865, 0.093], [1866, 0.101], [1867, 0.115], + [1868, 0.123], [1869, 0.083], [1870, 0.051], [1871, 0.019], + [1872, 0.009], [1874, 0.007], [1875, 0.009], [1876, 0.026], + [1877, 0.029], [1878, 0.007], [1879, 0.024], [1880, 0.006], + [1881, 0.021], [1882, 0.016], [1883, 0.013], [1884, 0.008], + [1885, 0.017], [1886, 0.019], [1887, 0.01], [1888, 0.013], + [1889, 0.024], [1890, 0.002], [1891, 0.014], [1892, 0.026], + [1893, 0.076], [1894, 0.002], [1895, 0.014], [1896, 0.026], + [1897, 0.076], [3923, 0.078], [3924, 0.11], [3925, 0.107], + [3926, 0.027], [3927, 0.026], [3928, 0.023], [3929, 0.02], + [3930, 0.015], [3931, 0.012], [3932, 0.012], [3933, 0.052], + [3934, 0.08], [3935, 0.099], [3936, 0.04], [3937, 0.131], + [3938, 0.171], [3939, 0.169], [3940, 0.054], [3941, 0.051], + [3942, 0.046], [3943, 0.04], [3944, 0.031], [3945, 0.024], + [3946, 0.024], [3947, 0.104], [3948, 0.141], [3949, 0.161], + [3950, 0.079], [3951, 0.201], [3952, 0.257], [3953, 0.247], + [3954, 0.109], [3955, 0.102], [3956, 0.091], [3957, 0.081], + [3958, 0.062], [3959, 0.048], [3960, 0.048], [3961, 0.189], + [3962, 0.233], [3963, 0.249], [3964, 0.149], [3965, 0.295], + [3966, 0.387], [3967, 0.356], [3968, 0.202], [3969, 0.182], + [3970, 0.165], [3971, 0.149], [3972, 0.124], [3973, 0.095], + [3974, 0.095], [3975, 0.288], [3976, 0.356], [3977, 0.381], + [3978, 0.244], [3979, 0.419], [3980, 0.569], [3981, 0.511], + [3982, 0.294], [3983, 0.247], [3984, 0.229], [3985, 0.213], + [3986, 0.21], [3987, 0.19], [3988, 0.19], [3989, 0.418], + [3990, 0.505], [3991, 0.556], [3992, 0.354], [3993, 0.575], + [3994, 0.728], [3995, 0.672], [3996, 0.429], [3997, 0.363], + [3998, 0.329], [3999, 0.3], [4000, 0.305], [4001, 0.302], + [4002, 0.302], [4003, 0.558], [4004, 0.656], [4005, 0.723], + [4006, 0.49], [4007, 0.704], [4008, 0.805], [4009, 0.782], + [4010, 0.564], [4011, 0.492], [4012, 0.458], [4013, 0.434], + [4014, 0.447], [4015, 0.445], [4016, 0.445], [4017, 0.672], + [4018, 0.742], [4019, 0.78], [4020, 0.611], [4021, 0.694], + [4022, 0.766], [4023, 0.759], [4024, 0.651], [4025, 0.622], + [4026, 0.623], [4027, 0.637], [4028, 0.675], [4029, 0.685], + [4030, 0.685], [4031, 0.739], [4032, 0.76], [4033, 0.754], + [4034, 0.697], [4035, 0.51], [4036, 0.61], [4037, 0.581], + [4038, 0.388], [4039, 0.666], [4040, 0.656], [4041, 0.66], + [4042, 0.673], [4043, 0.688], [4044, 0.7], [4045, 0.7], + [4046, 0.415], [4047, 0.626], [4048, 0.597], [4049, 0.663], + [4050, 0.412], [4051, 0.505], [4052, 0.475], [4053, 0.394], + [4054, 0.568], [4055, 0.572], [4056, 0.595], [4057, 0.623], + [4058, 0.659], [4059, 0.696], [4060, 0.696], [4061, 0.513], + [4062, 0.486], [4063, 0.566], [4064, 0.05], [4065, 0.089], + [4066, 0.149], [4067, 0.32], [4068, 0.223], [4069, 0.415], + [4070, 0.201], [4071, 0.428], [4072, 0.153], [4073, 0.177], + [4074, 0.437], [4075, 0.428], [4076, 0.201], [4077, 0.453], + [4078, 0.23], [4079, 0.266], [4080, 0.595], [4081, 0.455], + [4082, 0.126], [4083, 0.323], [4084, 0.347], [4085, 0.393], + [4086, 0.53], [4087, 0.314], [4088, 0.126], [4089, 0.309], + [4090, 0.461], [4091, 0.496], [4092, 0.362], [4093, 0.309], + [4094, 0.14], [4095, 0.202], [4096, 0.381], [4097, 0.383], + [4098, 0.232], [4099, 0.211], [4100, 0.13], [4101, 0.468], + [4102, 0.613], [4103, 0.641], [4104, 0.476], [4105, 0.655], + [4106, 0.275], [4107, 0.275], [4108, 0.182], [4109, 0.115], + [4110, 0.114], [4111, 0.249], [4112, 0.249], [4113, 0.193], + [4114, 0.138], [4115, 0.138], [4116, 0.284], [4117, 0.284], + [4118, 0.221], [4119, 0.157], [4120, 0.157], [4121, 0.22], + [4122, 0.256], [4123, 0.257], [4124, 0.321], [4125, 0.256], + [4126, 0.261], [4127, 0.372], [4128, 0.312], [4129, 0.378], + [4130, 0.355], [4131, 0.393], [4132, 0.364], [4133, 0.153], + [4134, 0.157], [4135, 0.21], [4136, 0.142], [4137, 0.15], + [4138, 0.266], [4139, 0.693], [4140, 0.719], [4141, 0.613], + [4142, 0.687], [4143, 0.705], [4144, 0.717], [4145, 0.655], + [4146, 0.679], [4147, 0.703], [4148, 0.703], [4149, 0.647], + [4150, 0.639], [4151, 0.462], [4152, 0.643], [4153, 0.575], + [4154, 0.462], [4155, 0.469], [4156, 0.476], [4157, 0.462], + [4158, 0.48], [4159, 0.547], [4160, 0.748], [4161, 0.122], + [4162, 0.089], [4163, 0.073], [4164, 0.247], [4165, 0.27], + [4166, 0.221], [4167, 0.245], [4168, 0.199], [4169, 0.163], + [4170, 0.082], [4171, 0.065], [4172, 0.551], [4173, 0.426], + [4174, 0.272], [4175, 0.428], [4176, 0.457], [4177, 0.489], + [4178, 0.529], [4179, 0.551], [4180, 0.583], [4181, 0.583], + [4182, 0.275], [4183, 0.292], [4184, 0.317], [4185, 0.337], + [4186, 0.351], [4187, 0.399], [4188, 0.399], [4189, 0.123], + [4190, 0.137], [4191, 0.15], [4192, 0.159], [4193, 0.155], + [4194, 0.166], [4195, 0.165], [4196, 0.428], [4197, 0.27], + [4198, 0.04], [4199, 0.019], [4200, 0.021], [4201, 0.03], + [4202, 0.03], [4203, 0.022], [4204, 0.027], [4205, 0.027], + [4206, 0.047], [4208, 0.009], [4209, 0.009], [4210, 0.01], + [4211, 0.015], [4212, 0.015], [4213, 0.011], [4214, 0.014], + [4215, 0.014], [4217, 0.005], [4218, 0.005], [4219, 0.007], + [4220, 0.007], [4221, 0.005], [4222, 0.007], [4223, 0.007], + [4224, 0.005], [4233, 0.002], [4269, 0.047], [4270, 0.05], + [4272, 0.029], [4363, 0.028], [4364, 0.014], [4365, 0.035], + [4366, 0.029], [4367, 0.029], [4368, 0.034], [4369, 0.012], + [4386, 0.047], [4387, 0.047], [4388, 0.055], [4389, 0.068], + [4390, 0.07], [4391, 0.111], [4392, 0.067], [4393, 0.056], + [4394, 0.099], [4395, 0.113], [4396, 0.111], [4397, 0.06], + [4398, 0.076], [4399, 0.102], [4400, 0.119], [8054, 0.001], + [8055, 0.002], [8056, 0.005], [8099, 0.011], [8100, 0.023], + [8101, 0.045], [8109, 0.021], [8110, 0.041], [8111, 0.072], + [8125, 0.002], [8126, 0.005], [8127, 0.009], [8135, 0.017], + [8136, 0.033], [8137, 0.066], [8159, 0.001], [8210, 0.001], + [8211, 0.002], [8241, 0.007], [8242, 0.014], [8247, 0.006], + [8248, 0.013], [8253, 0.006], [8254, 0.011], [8259, 0.005], + [8260, 0.01], [8265, 0.004], [8266, 0.008], [8271, 0.003], + [8272, 0.006], [8284, 0.003], [8285, 0.013], [8286, 0.026], + [8294, 0.013], [8295, 0.025], [8296, 0.044], [8305, 0.017], + [8306, 0.034], [8354, 0.025], [8355, 0.013], [8356, 0.006], + [8362, 0.06], [8363, 0.02], [8364, 0.01], [8434, 0.01], + [8435, 0.009], [8436, 0.01], [8437, 0.01], [8438, 0.011], + [8439, 0.011], [8440, 0.012], [8441, 0.013], [8442, 0.013], + [8443, 0.013], [8444, 0.012], [8445, 0.012], [8446, 0.011], + [8447, 0.011], [8448, 0.01], [8449, 0.01], [8450, 0.01], + [8451, 0.01], [8452, 0.01], [8453, 0.01], [8454, 0.011], + [8455, 0.011], [8456, 0.012], [8457, 0.012], [8458, 0.012], + [8459, 0.012], [8460, 0.012], [8461, 0.011], [8462, 0.011], + [8463, 0.01], [8464, 0.01], [8465, 0.01], [8466, 0.009], + [8467, 0.009], [8468, 0.009], [8469, 0.01], [8470, 0.011], + [8471, 0.012], [8472, 0.013], [8473, 0.013], [8474, 0.015], + [8475, 0.015], [8476, 0.014], [8477, 0.014], [8478, 0.013], + [8479, 0.011], [8480, 0.01], [8481, 0.01], [8482, 0.008], + [8483, 0.008], [8484, 0.009], [8485, 0.01], [8486, 0.011], + [8487, 0.013], [8488, 0.014], [8489, 0.016], [8490, 0.019], + [8491, 0.02], [8492, 0.018], [8493, 0.016], [8494, 0.014], + [8495, 0.012], [8496, 0.01], [8497, 0.009], [8500, 0.004], + [8501, 0.01], [8502, 0.015], [8503, 0.022], [8504, 0.025], + [8505, 0.029], [8506, 0.034], [8507, 0.034], [8508, 0.031], + [8509, 0.026], [8510, 0.02], [8511, 0.014], [8512, 0.006], + [8516, 0.003], [8517, 0.01], [8518, 0.016], [8519, 0.025], + [8520, 0.037], [8521, 0.045], [8522, 0.049], [8523, 0.052], + [8524, 0.056], [8525, 0.041], [8526, 0.028], [8527, 0.015], + [8528, 0.005], [8533, 0.005], [8534, 0.017], [8535, 0.029], + [8536, 0.066], [8537, 0.093], [8538, 0.101], [8539, 0.115], + [8540, 0.123], [8541, 0.083], [8542, 0.051], [8543, 0.019], + [8544, 0.009], [8546, 0.007], [8547, 0.009], [8548, 0.026], + [8549, 0.029], [8550, 0.007], [8551, 0.024], [8552, 0.006], + [8553, 0.021], [8554, 0.016], [8555, 0.013], [8556, 0.008], + [8557, 0.017], [8558, 0.019], [8559, 0.01], [8560, 0.013], + [8561, 0.024], [8562, 0.002], [8563, 0.014], [8564, 0.026], + [8565, 0.076], [10588, 0.078], [10589, 0.11], [10590, 0.107], + [10591, 0.027], [10592, 0.026], [10593, 0.023], [10594, 0.02], + [10595, 0.015], [10596, 0.012], [10597, 0.052], [10598, 0.08], + [10599, 0.099], [10600, 0.04], [10601, 0.131], [10602, 0.171], + [10603, 0.169], [10604, 0.054], [10605, 0.051], [10606, 0.046], + [10607, 0.04], [10608, 0.031], [10609, 0.024], [10610, 0.104], + [10611, 0.141], [10612, 0.161], [10613, 0.079], [10614, 0.201], + [10615, 0.257], [10616, 0.247], [10617, 0.109], [10618, 0.102], + [10619, 0.091], [10620, 0.081], [10621, 0.062], [10622, 0.048], + [10623, 0.189], [10624, 0.233], [10625, 0.249], [10626, 0.149], + [10627, 0.295], [10628, 0.387], [10629, 0.356], [10630, 0.202], + [10631, 0.182], [10632, 0.165], [10633, 0.149], [10634, 0.124], + [10635, 0.095], [10636, 0.288], [10637, 0.356], [10638, 0.381], + [10639, 0.244], [10640, 0.419], [10641, 0.569], [10642, 0.511], + [10643, 0.294], [10644, 0.247], [10645, 0.229], [10646, 0.213], + [10647, 0.21], [10648, 0.19], [10649, 0.418], [10650, 0.505], + [10651, 0.556], [10652, 0.354], [10653, 0.575], [10654, 0.728], + [10655, 0.672], [10656, 0.429], [10657, 0.363], [10658, 0.329], + [10659, 0.3], [10660, 0.305], [10661, 0.302], [10662, 0.558], + [10663, 0.656], [10664, 0.723], [10665, 0.49], [10666, 0.704], + [10667, 0.805], [10668, 0.782], [10669, 0.564], [10670, 0.492], + [10671, 0.458], [10672, 0.434], [10673, 0.447], [10674, 0.445], + [10675, 0.672], [10676, 0.742], [10677, 0.78], [10678, 0.611], + [10679, 0.694], [10680, 0.766], [10681, 0.759], [10682, 0.651], + [10683, 0.622], [10684, 0.623], [10685, 0.637], [10686, 0.675], + [10687, 0.685], [10688, 0.739], [10689, 0.76], [10690, 0.754], + [10691, 0.697], [10692, 0.51], [10693, 0.61], [10694, 0.581], + [10695, 0.388], [10696, 0.666], [10697, 0.656], [10698, 0.66], + [10699, 0.673], [10700, 0.688], [10701, 0.7], [10702, 0.415], + [10703, 0.626], [10704, 0.597], [10705, 0.663], [10706, 0.412], + [10707, 0.505], [10708, 0.475], [10709, 0.394], [10710, 0.568], + [10711, 0.572], [10712, 0.595], [10713, 0.623], [10714, 0.659], + [10715, 0.696], [10716, 0.513], [10717, 0.486], [10718, 0.566], + [10719, 0.05], [10720, 0.089], [10721, 0.149], [10722, 0.32], + [10723, 0.223], [10724, 0.153], [10725, 0.177], [10726, 0.437], + [10727, 0.428], [10728, 0.201], [10729, 0.453], [10730, 0.23], + [10731, 0.266], [10732, 0.595], [10733, 0.455], [10734, 0.126], + [10735, 0.323], [10736, 0.347], [10737, 0.393], [10738, 0.53], + [10739, 0.314], [10740, 0.309], [10741, 0.461], [10742, 0.496], + [10743, 0.362], [10744, 0.14], [10745, 0.202], [10746, 0.381], + [10747, 0.383], [10748, 0.232], [10749, 0.211], [10750, 0.13], + [10751, 0.468], [10752, 0.613], [10753, 0.641], [10754, 0.476], + [10755, 0.655], [10756, 0.275], [10757, 0.182], [10758, 0.115], + [10759, 0.249], [10760, 0.193], [10761, 0.138], [10762, 0.284], + [10763, 0.221], [10764, 0.157], [10765, 0.256], [10766, 0.257], + [10767, 0.321], [10768, 0.256], [10769, 0.261], [10770, 0.372], + [10771, 0.312], [10772, 0.378], [10773, 0.355], [10774, 0.393], + [10775, 0.364], [10776, 0.153], [10777, 0.157], [10778, 0.21], + [10779, 0.142], [10780, 0.15], [10781, 0.266], [10782, 0.693], + [10783, 0.719], [10784, 0.613], [10785, 0.687], [10786, 0.705], + [10787, 0.717], [10788, 0.655], [10789, 0.679], [10790, 0.703], + [10791, 0.647], [10792, 0.639], [10793, 0.462], [10794, 0.643], + [10795, 0.575], [10796, 0.469], [10797, 0.476], [10798, 0.462], + [10799, 0.48], [10800, 0.547], [10801, 0.748], [10802, 0.122], + [10803, 0.089], [10804, 0.073], [10805, 0.247], [10806, 0.27], + [10807, 0.221], [10808, 0.245], [10809, 0.199], [10810, 0.163], + [10811, 0.082], [10812, 0.065], [10813, 0.551], [10814, 0.426], + [10815, 0.272], [10816, 0.428], [10817, 0.457], [10818, 0.489], + [10819, 0.529], [10820, 0.551], [10821, 0.583], [10822, 0.275], + [10823, 0.292], [10824, 0.317], [10825, 0.337], [10826, 0.351], + [10827, 0.399], [10828, 0.123], [10829, 0.137], [10830, 0.15], + [10831, 0.159], [10832, 0.155], [10833, 0.166], [10834, 0.428], + [10835, 0.27], [10836, 0.04], [10837, 0.019], [10838, 0.021], + [10839, 0.03], [10840, 0.03], [10841, 0.022], [10842, 0.027], + [10843, 0.047], [10845, 0.009], [10846, 0.009], [10847, 0.01], + [10848, 0.015], [10849, 0.015], [10850, 0.011], [10851, 0.014], + [10853, 0.005], [10854, 0.005], [10855, 0.007], [10856, 0.007], + [10857, 0.005], [10858, 0.007], [10859, 0.005], [10867, 0.002], + [10899, 0.047], [10900, 0.05], [10902, 0.029], [10987, 0.028], + [10988, 0.014], [10989, 0.035], [10990, 0.029], [10991, 0.034], + [10992, 0.012], [11005, 0.047], [11006, 0.055], [11007, 0.068], + [11008, 0.07], [11009, 0.111], [11010, 0.067], [11011, 0.056], + [11012, 0.099], [11013, 0.113], [11014, 0.111], [11015, 0.06], + [11016, 0.076], [11017, 0.102], [11018, 0.119], [13646, 1.0], + [13647, 1.0], [13648, 1.0], [13649, 1.0], [13650, 1.0], + [13651, 1.0], [13652, 1.0], [13653, 1.0], [15562, 0.001], + [15583, 0.041], [15584, 0.022], [15585, 0.015], [15586, 0.014], + [15600, 0.003], [15606, 0.007], [15607, 0.014], [15608, 0.011], + [15609, 0.008], [15615, 0.014], [15622, 0.005], [15625, 0.004], + [15628, 0.003], [15631, 0.002], [15640, 0.036], [15642, 0.007], + [15643, 0.015], [15649, 0.028], [15651, 0.009], [15652, 0.018], + [15688, 0.008], [15689, 0.004], [15690, 0.007], [15691, 0.002], + [15712, 0.03], [15725, 0.018], [15726, 0.026], [15727, 0.031], + [15728, 0.034], [15729, 0.048], [15730, 0.078], [15731, 0.078], + [15732, 0.072], [15733, 0.021], [15734, 0.052], [15737, 0.048], + [15738, 0.047], [15739, 0.047], [15740, 0.064], [15741, 0.096], + [15742, 0.027], [15743, 0.006], [15744, 0.003], [15773, 0.102], + [15792, 0.004], [15803, 0.025], [15815, 0.011], [15838, 0.135], + [15848, 0.04], [15850, 0.089], [15861, 0.222], [15871, 0.043], + [15873, 0.292], [15896, 0.357], [15897, 0.031], [15898, 0.019], + [15899, 0.113], [15901, 0.173], [15902, 0.329], [15903, 0.221], + [15905, 0.004], [15906, 0.01], [15907, 0.07], [15942, 0.027], + [15943, 0.009], [15944, 0.008], [15945, 0.007], [15946, 0.005], + [15947, 0.027], [15948, 0.03], [15949, 0.014], [15950, 0.113], + [15951, 0.065], [15952, 0.064], [15953, 0.05], [15954, 0.04], + [15955, 0.13], [15956, 0.123], [15957, 0.086], [15958, 0.193], + [15959, 0.122], [15960, 0.105], [15961, 0.094], [15962, 0.085], + [15963, 0.212], [15964, 0.215], [15965, 0.15], [15966, 0.26], + [15967, 0.169], [15968, 0.142], [15969, 0.123], [15970, 0.118], + [15971, 0.268], [15972, 0.282], [15973, 0.19], [15974, 0.336], + [15975, 0.231], [15976, 0.202], [15977, 0.185], [15978, 0.179], + [15979, 0.339], [15980, 0.363], [15981, 0.261], [15982, 0.382], + [15983, 0.309], [15984, 0.298], [15985, 0.308], [15986, 0.309], + [15987, 0.377], [15988, 0.384], [15989, 0.329], [15990, 0.269], + [15991, 0.195], [15992, 0.296], [15993, 0.331], [15994, 0.198], + [15995, 0.015], [15996, 0.086], [15997, 0.204], [15998, 0.15], + [15999, 0.091], [16000, 0.104], [16001, 0.221], [16002, 0.236], + [16003, 0.152], [16004, 0.157], [16005, 0.293], [16006, 0.23], + [16007, 0.23], [16008, 0.242], [16009, 0.219], [16010, 0.089], + [16011, 0.159], [16012, 0.191], [16013, 0.198], [16014, 0.146], + [16015, 0.156], [16016, 0.093], [16017, 0.284], [16018, 0.336], + [16019, 0.238], [16020, 0.306], [16021, 0.172], [16022, 0.195], + [16023, 0.083], [16024, 0.085], [16025, 0.111], [16026, 0.078], + [16027, 0.081], [16028, 0.139], [16029, 0.347], [16030, 0.324], + [16031, 0.325], [16032, 0.332], [16033, 0.044], [16034, 0.038], + [16035, 0.03], [16036, 0.096], [16037, 0.084], [16038, 0.065], + [16039, 0.031], [16040, 0.023], [16041, 0.2], [16042, 0.102], + [16043, 0.227], [16044, 0.243], [16045, 0.268], [16046, 0.288], + [16047, 0.109], [16048, 0.119], [16049, 0.13], [16050, 0.149], + [16051, 0.04], [16052, 0.046], [16053, 0.049], [16054, 0.053], + [16055, 0.222], [16056, 0.104], [16057, 0.012], [16058, 0.014], + [16059, 0.017], [16060, 0.018], [16062, 0.005], [16063, 0.004], + [16064, 0.005], [16065, 0.006], [16066, 0.007], [16068, 0.002], + [16070, 0.001], [16071, 0.001], [16123, 0.005], [16124, 0.003], + [16125, 0.009], [16126, 0.006], [16127, 0.004], [16132, 0.034], + [16133, 0.036], [16134, 0.027], [16135, 0.012], [16136, 0.019], + [16441, 0.16], [16442, 0.083], [16443, 0.056], [16444, 0.073], + [16445, 0.11], [16446, 0.144], [16447, 0.006], [16448, 0.004], + [16449, 0.011], [16450, 0.01], [16451, 0.094], [16452, 0.094], + [16453, 0.102], [16454, 0.055], [16455, 0.007], [16456, 0.005], + [16457, 0.069], [16458, 0.021], [16460, 0.1], [16461, 0.066], + [16462, 0.047], [16463, 0.046], [16464, 0.015], [16465, 0.115], + [16466, 0.161], [16467, 0.006], [16468, 0.004], [16469, 0.002], + [16470, 0.004], [16471, 0.009], [16472, 0.006], [16473, 0.005], + [16474, 0.009], [16479, 0.002], [16480, 0.05], [16483, 0.199], + [16484, 0.227], [16485, 0.092], [16486, 0.165], [16487, 0.087], + [16488, 0.022], [16489, 0.008], [16491, 0.005], [16492, 0.011], + [16497, 0.002], [16498, 0.003], [16499, 0.006], [16500, 0.013], + [16501, 0.019], [16502, 0.027], [16503, 0.042], [16504, 0.066], + [16505, 0.109], [16506, 0.17], [16507, 0.301], [16508, 0.359], + [16509, 0.31], [16510, 0.17], [16511, 0.06], [16512, 0.016], + [16513, 0.006], [16527, 0.007], [16528, 0.041], [16529, 0.054], + [16530, 0.059], [16531, 0.06], [16532, 0.035], [16533, 0.024], + [16534, 0.022], [16535, 0.019], [16536, 0.013], [16537, 0.002], + [16540, 0.005], [16541, 0.038], [16542, 0.018], [16543, 0.049], + [16544, 0.003], [16545, 0.009], [16866, 0.001], [16887, 0.041], + [16888, 0.022], [16889, 0.015], [16890, 0.014], [16904, 0.003], + [16910, 0.007], [16911, 0.014], [16913, 0.011], [16914, 0.008], + [16916, 0.006], [16924, 0.014], [16931, 0.005], [16934, 0.004], + [16937, 0.003], [16940, 0.002], [16943, 0.002], [16952, 0.036], + [16954, 0.007], [16955, 0.015], [16961, 0.028], [16963, 0.009], + [16964, 0.018], [17000, 0.008], [17001, 0.004], [17002, 0.007], + [17003, 0.002], [17024, 0.03], [17037, 0.012], [17038, 0.018], + [17039, 0.026], [17040, 0.031], [17041, 0.034], [17042, 0.048], + [17043, 0.078], [17044, 0.078], [17045, 0.072], [17046, 0.021], + [17047, 0.052], [17051, 0.054], [17052, 0.048], [17053, 0.047], + [17054, 0.047], [17055, 0.064], [17056, 0.096], [17057, 0.027], + [17058, 0.006], [17059, 0.003], [17090, 0.102], [17109, 0.004], + [17120, 0.025], [17132, 0.011], [17155, 0.135], [17165, 0.04], + [17167, 0.089], [17178, 0.222], [17188, 0.043], [17190, 0.292], + [17214, 0.357], [17215, 0.031], [17216, 0.019], [17217, 0.113], + [17219, 0.173], [17220, 0.329], [17221, 0.221], [17223, 0.004], + [17224, 0.01], [17225, 0.07], [17261, 0.027], [17262, 0.009], + [17263, 0.008], [17264, 0.007], [17265, 0.005], [17266, 0.003], + [17267, 0.027], [17268, 0.03], [17269, 0.014], [17270, 0.113], + [17271, 0.065], [17272, 0.064], [17273, 0.05], [17274, 0.04], + [17275, 0.13], [17276, 0.123], [17277, 0.086], [17278, 0.193], + [17279, 0.122], [17280, 0.105], [17281, 0.094], [17282, 0.085], + [17283, 0.066], [17284, 0.212], [17285, 0.215], [17286, 0.15], + [17287, 0.26], [17288, 0.169], [17289, 0.142], [17290, 0.123], + [17291, 0.118], [17292, 0.268], [17293, 0.282], [17294, 0.19], + [17295, 0.336], [17296, 0.231], [17297, 0.202], [17298, 0.185], + [17299, 0.179], [17300, 0.339], [17301, 0.363], [17302, 0.261], + [17303, 0.382], [17304, 0.309], [17305, 0.298], [17306, 0.308], + [17307, 0.309], [17308, 0.377], [17309, 0.384], [17310, 0.329], + [17311, 0.269], [17312, 0.195], [17313, 0.213], [17314, 0.296], + [17315, 0.331], [17316, 0.198], [17317, 0.015], [17318, 0.086], + [17319, 0.204], [17320, 0.15], [17321, 0.091], [17322, 0.104], + [17323, 0.221], [17324, 0.232], [17325, 0.166], [17326, 0.236], + [17327, 0.152], [17328, 0.157], [17329, 0.293], [17330, 0.23], + [17331, 0.097], [17332, 0.23], [17333, 0.242], [17334, 0.219], + [17335, 0.089], [17336, 0.159], [17337, 0.191], [17338, 0.198], + [17339, 0.146], [17340, 0.156], [17341, 0.093], [17342, 0.284], + [17343, 0.336], [17344, 0.238], [17345, 0.306], [17346, 0.102], + [17347, 0.035], [17348, 0.172], [17349, 0.195], [17350, 0.083], + [17351, 0.085], [17352, 0.111], [17353, 0.078], [17354, 0.081], + [17355, 0.139], [17356, 0.347], [17357, 0.324], [17358, 0.325], + [17359, 0.332], [17360, 0.044], [17361, 0.038], [17362, 0.03], + [17363, 0.096], [17364, 0.084], [17365, 0.065], [17366, 0.031], + [17367, 0.023], [17368, 0.2], [17369, 0.102], [17370, 0.227], + [17371, 0.243], [17372, 0.268], [17373, 0.288], [17374, 0.109], + [17375, 0.119], [17376, 0.13], [17377, 0.149], [17378, 0.173], + [17379, 0.04], [17380, 0.046], [17381, 0.049], [17382, 0.053], + [17383, 0.222], [17384, 0.104], [17385, 0.012], [17386, 0.014], + [17387, 0.017], [17388, 0.018], [17389, 0.016], [17391, 0.005], + [17392, 0.004], [17393, 0.005], [17394, 0.006], [17395, 0.007], + [17397, 0.002], [17399, 0.001], [17400, 0.001], [17452, 0.005], + [17453, 0.003], [17454, 0.009], [17455, 0.006], [17456, 0.004], + [17461, 0.034], [17462, 0.036], [17463, 0.027], [17464, 0.012], + [17465, 0.019], [17763, 0.032], [17772, 0.16], [17773, 0.083], + [17774, 0.056], [17775, 0.073], [17776, 0.11], [17777, 0.144], + [17778, 0.007], [17779, 0.006], [17780, 0.004], [17781, 0.011], + [17782, 0.01], [17783, 0.094], [17784, 0.094], [17785, 0.102], + [17786, 0.055], [17787, 0.007], [17788, 0.005], [17789, 0.069], + [17790, 0.021], [17792, 0.1], [17793, 0.066], [17794, 0.047], + [17795, 0.046], [17796, 0.015], [17797, 0.115], [17798, 0.161], + [17799, 0.006], [17800, 0.004], [17801, 0.002], [17802, 0.004], + [17803, 0.004], [17804, 0.012], [17805, 0.009], [17806, 0.006], + [17807, 0.005], [17808, 0.009], [17813, 0.002], [17814, 0.05], + [17817, 0.199], [17818, 0.227], [17819, 0.092], [17820, 0.165], + [17821, 0.087], [17822, 0.022], [17823, 0.008], [17825, 0.005], + [17826, 0.011], [17831, 0.002], [17832, 0.003], [17833, 0.006], + [17834, 0.013], [17835, 0.019], [17836, 0.027], [17837, 0.042], + [17838, 0.066], [17839, 0.109], [17840, 0.17], [17841, 0.301], + [17842, 0.359], [17843, 0.31], [17844, 0.17], [17845, 0.06], + [17846, 0.016], [17847, 0.006], [17861, 0.007], [17862, 0.041], + [17863, 0.054], [17864, 0.059], [17865, 0.06], [17866, 0.035], + [17867, 0.024], [17868, 0.022], [17869, 0.019], [17870, 0.013], + [17871, 0.009], [17872, 0.001], [17873, 0.002], [17876, 0.005], + [17877, 0.038], [17878, 0.018], [17879, 0.049], [17880, 0.003], + [17881, 0.009], [17952, 0.024], [17953, 0.102], [17954, 0.17], + [17955, 0.302], [17956, 0.359], [17957, 0.31], [17958, 0.06], + [17959, 0.006], [17968, 0.007], [17974, 0.018], [17975, 0.039], + [18002, 0.021], [18003, 0.106], [18004, 0.025], [18005, 0.026], + [18006, 0.049], [18007, 0.03], [18008, 0.093], [18009, 0.084], + [18010, 0.056], [18011, 0.02], [18012, 0.015], [18013, 0.111], + [18014, 0.138], [18015, 0.165], [18016, 0.193], [18017, 0.211], + [18018, 0.343], [18019, 0.054], [18020, 0.069], [18021, 0.07], + [18022, 0.072], [18023, 0.124], [18029, 0.037], [18030, 0.02], + [18031, 0.007], [18034, 0.248], [18035, 0.062], [18037, 0.038], + [18038, 0.021], [18039, 0.106], [18040, 0.026], [18041, 0.049], + [18042, 0.03], [18043, 0.093], [18044, 0.084], [18045, 0.056], + [18046, 0.02], [18047, 0.015], [18048, 0.111], [18049, 0.138], + [18050, 0.165], [18051, 0.193], [18052, 0.211], [18053, 0.054], + [18054, 0.069], [18055, 0.07], [18056, 0.072], [18057, 0.057], + [18058, 0.124], [18065, 0.037], [18066, 0.02], [18067, 0.007], + [18070, 0.248], [18071, 0.062], [18073, 0.038], [18077, 0.011], + [18094, 0.011], [18784, 0.036], [18785, 0.017], [18786, 0.199], + [18787, 0.123], [18788, 0.571], [18789, 0.456], [18832, 0.007], + [18833, 0.01], [18834, 0.02], [18835, 0.021], [18836, 0.138], + [18837, 0.185], [18838, 0.457], [18839, 0.526], [18864, 0.056], + [18865, 0.047], [18866, 0.329], [18867, 0.228], [18868, 0.822], + [18869, 0.691], [18870, 0.331], [18871, 0.24], [18896, 0.012], + [18898, 0.161], [18899, 0.133], [18900, 0.693], [18901, 0.808], + [18902, 0.383], [18903, 0.496], [18928, 0.043], [18929, 0.015], + [18930, 0.219], [18931, 0.156], [18932, 0.683], [18933, 0.685], + [18934, 0.243], [18935, 0.416], [18998, 0.036], [18999, 0.017], + [19000, 0.199], [19001, 0.123], [19002, 0.571], [19003, 0.456], + [19046, 0.007], [19047, 0.01], [19048, 0.02], [19049, 0.021], + [19050, 0.138], [19051, 0.185], [19052, 0.457], [19053, 0.526], + [19078, 0.056], [19079, 0.047], [19080, 0.329], [19081, 0.228], + [19082, 0.822], [19083, 0.691], [19084, 0.331], [19085, 0.24], + [19110, 0.012], [19112, 0.161], [19113, 0.133], [19114, 0.693], + [19115, 0.808], [19116, 0.383], [19117, 0.496], [19142, 0.043], + [19143, 0.015], [19144, 0.219], [19145, 0.156], [19146, 0.683], + [19147, 0.685], [19148, 0.243], [19149, 0.416] + ], + "spine04": [ + [1412, 0.001], [1413, 0.002], [1423, 0.001], [1449, 0.002], + [1624, 0.001], [1682, 0.002], [1683, 0.001], [1690, 0.001], + [1864, 0.022], [1865, 0.043], [1866, 0.045], [1867, 0.041], + [1868, 0.023], [1869, 0.011], [1870, 0.006], [1871, 0.001], + [1893, 0.033], [1897, 0.033], [3923, 0.004], [3924, 0.003], + [3925, 0.003], [3926, 0.001], [3933, 0.002], [3934, 0.002], + [3935, 0.003], [3936, 0.001], [3937, 0.008], [3938, 0.005], + [3939, 0.006], [3940, 0.002], [3941, 0.002], [3942, 0.002], + [3943, 0.002], [3944, 0.002], [3945, 0.001], [3946, 0.001], + [3947, 0.003], [3948, 0.004], [3949, 0.005], [3950, 0.002], + [3951, 0.015], [3952, 0.011], [3953, 0.012], [3954, 0.004], + [3955, 0.004], [3956, 0.004], [3957, 0.003], [3958, 0.003], + [3959, 0.003], [3960, 0.003], [3961, 0.006], [3962, 0.009], + [3963, 0.011], [3964, 0.005], [3965, 0.031], [3966, 0.021], + [3967, 0.023], [3968, 0.008], [3969, 0.007], [3970, 0.007], + [3971, 0.007], [3972, 0.006], [3973, 0.005], [3974, 0.005], + [3975, 0.013], [3976, 0.017], [3977, 0.022], [3978, 0.01], + [3979, 0.061], [3980, 0.042], [3981, 0.046], [3982, 0.015], + [3983, 0.014], [3984, 0.014], [3985, 0.013], [3986, 0.013], + [3987, 0.011], [3988, 0.011], [3989, 0.025], [3990, 0.034], + [3991, 0.043], [3992, 0.02], [3993, 0.1], [3994, 0.07], + [3995, 0.077], [3996, 0.027], [3997, 0.025], [3998, 0.024], + [3999, 0.023], [4000, 0.022], [4001, 0.019], [4002, 0.019], + [4003, 0.043], [4004, 0.058], [4005, 0.072], [4006, 0.035], + [4007, 0.155], [4008, 0.115], [4009, 0.125], [4010, 0.047], + [4011, 0.043], [4012, 0.042], [4013, 0.039], [4014, 0.038], + [4015, 0.033], [4016, 0.033], [4017, 0.073], [4018, 0.096], + [4019, 0.117], [4020, 0.059], [4021, 0.22], [4022, 0.175], + [4023, 0.189], [4024, 0.079], [4025, 0.072], [4026, 0.071], + [4027, 0.066], [4028, 0.063], [4029, 0.056], [4030, 0.056], + [4031, 0.12], [4032, 0.154], [4033, 0.181], [4034, 0.098], + [4035, 0.364], [4036, 0.313], [4037, 0.33], [4038, 0.391], + [4039, 0.132], [4040, 0.12], [4041, 0.117], [4042, 0.109], + [4043, 0.104], [4044, 0.091], [4045, 0.091], [4046, 0.414], + [4047, 0.286], [4048, 0.319], [4049, 0.235], [4050, 0.421], + [4051, 0.369], [4052, 0.386], [4053, 0.385], [4054, 0.323], + [4055, 0.292], [4056, 0.271], [4057, 0.243], [4058, 0.223], + [4059, 0.2], [4060, 0.2], [4061, 0.347], [4062, 0.378], + [4063, 0.316], [4064, 0.004], [4065, 0.009], [4066, 0.018], + [4067, 0.069], [4068, 0.035], [4069, 0.414], [4070, 0.102], + [4071, 0.209], [4072, 0.09], [4073, 0.082], [4074, 0.359], + [4075, 0.209], [4076, 0.102], [4077, 0.202], [4078, 0.133], + [4079, 0.128], [4080, 0.221], [4081, 0.224], [4082, 0.065], + [4083, 0.168], [4084, 0.177], [4085, 0.179], [4086, 0.168], + [4087, 0.147], [4088, 0.065], [4089, 0.148], [4090, 0.237], + [4091, 0.237], [4092, 0.116], [4093, 0.148], [4094, 0.086], + [4095, 0.104], [4096, 0.397], [4097, 0.385], [4098, 0.068], + [4099, 0.121], [4100, 0.065], [4101, 0.112], [4102, 0.167], + [4103, 0.227], [4104, 0.364], [4105, 0.263], [4106, 0.562], + [4107, 0.562], [4108, 0.632], [4109, 0.665], [4110, 0.665], + [4111, 0.637], [4112, 0.637], [4113, 0.677], [4114, 0.717], + [4115, 0.717], [4116, 0.634], [4117, 0.634], [4118, 0.672], + [4119, 0.711], [4120, 0.711], [4121, 0.672], [4122, 0.496], + [4123, 0.498], [4124, 0.421], [4125, 0.488], [4126, 0.463], + [4127, 0.424], [4128, 0.461], [4129, 0.42], [4130, 0.428], + [4131, 0.409], [4132, 0.434], [4133, 0.576], [4134, 0.584], + [4135, 0.482], [4136, 0.573], [4137, 0.55], [4138, 0.472], + [4139, 0.255], [4140, 0.226], [4141, 0.296], [4142, 0.26], + [4143, 0.248], [4144, 0.159], [4145, 0.169], [4146, 0.159], + [4147, 0.141], [4148, 0.141], [4149, 0.215], [4150, 0.195], + [4151, 0.295], [4152, 0.185], [4153, 0.299], [4154, 0.295], + [4155, 0.293], [4156, 0.279], [4157, 0.308], [4158, 0.304], + [4159, 0.283], [4160, 0.193], [4161, 0.515], [4162, 0.624], + [4163, 0.608], [4164, 0.484], [4165, 0.468], [4166, 0.474], + [4167, 0.472], [4168, 0.501], [4169, 0.506], [4170, 0.586], + [4171, 0.615], [4172, 0.319], [4173, 0.39], [4174, 0.472], + [4175, 0.409], [4176, 0.397], [4177, 0.375], [4178, 0.344], + [4179, 0.315], [4180, 0.286], [4181, 0.286], [4182, 0.491], + [4183, 0.488], [4184, 0.477], [4185, 0.464], [4186, 0.441], + [4187, 0.411], [4188, 0.411], [4189, 0.543], [4190, 0.537], + [4191, 0.535], [4192, 0.528], [4193, 0.516], [4194, 0.512], + [4195, 0.512], [4196, 0.398], [4197, 0.483], [4198, 0.461], + [4199, 0.318], [4200, 0.322], [4201, 0.313], [4202, 0.297], + [4203, 0.271], [4204, 0.283], [4205, 0.284], [4206, 0.463], + [4207, 0.307], [4208, 0.304], [4209, 0.216], [4210, 0.217], + [4211, 0.206], [4212, 0.189], [4213, 0.177], [4214, 0.176], + [4215, 0.177], [4216, 0.206], [4217, 0.139], [4218, 0.135], + [4219, 0.128], [4220, 0.116], [4221, 0.111], [4222, 0.109], + [4223, 0.111], [4224, 0.202], [4225, 0.134], [4226, 0.062], + [4227, 0.054], [4228, 0.05], [4229, 0.044], [4230, 0.047], + [4231, 0.043], [4232, 0.045], [4233, 0.128], [4234, 0.063], + [4235, 0.031], [4236, 0.027], [4237, 0.025], [4238, 0.022], + [4239, 0.023], [4240, 0.021], [4241, 0.022], [4242, 0.055], + [4243, 0.035], [4251, 0.027], [4252, 0.008], [4269, 0.403], + [4270, 0.442], [4271, 0.415], [4272, 0.395], [4273, 0.441], + [4274, 0.459], [4275, 0.263], [4276, 0.285], [4277, 0.25], + [4278, 0.254], [4279, 0.268], [4280, 0.265], [4281, 0.156], + [4282, 0.183], [4283, 0.157], [4284, 0.156], [4285, 0.164], + [4286, 0.156], [4287, 0.094], [4288, 0.118], [4289, 0.094], + [4290, 0.093], [4291, 0.099], [4292, 0.094], [4293, 0.033], + [4294, 0.054], [4295, 0.033], [4296, 0.032], [4297, 0.035], + [4298, 0.032], [4299, 0.016], [4300, 0.032], [4301, 0.016], + [4302, 0.016], [4303, 0.018], [4304, 0.019], [4306, 0.009], + [4310, 0.006], [4317, 0.514], [4318, 0.438], [4319, 0.506], + [4320, 0.495], [4321, 0.521], [4322, 0.553], [4323, 0.326], + [4324, 0.269], [4325, 0.317], [4326, 0.312], [4327, 0.322], + [4328, 0.356], [4329, 0.194], [4330, 0.154], [4331, 0.189], + [4332, 0.176], [4333, 0.186], [4334, 0.227], [4335, 0.11], + [4336, 0.091], [4337, 0.107], [4338, 0.097], [4339, 0.107], + [4340, 0.137], [4341, 0.027], [4342, 0.03], [4343, 0.026], + [4344, 0.02], [4345, 0.029], [4346, 0.048], [4347, 0.014], + [4348, 0.018], [4349, 0.013], [4350, 0.007], [4351, 0.014], + [4352, 0.024], [4353, 0.007], [4357, 0.513], [4358, 0.324], + [4359, 0.191], [4360, 0.108], [4361, 0.026], [4362, 0.013], + [4363, 0.573], [4364, 0.614], [4365, 0.61], [4366, 0.621], + [4367, 0.622], [4368, 0.518], [4369, 0.599], [4386, 0.445], + [4387, 0.445], [4388, 0.474], [4389, 0.467], [4390, 0.465], + [4391, 0.539], [4392, 0.457], [4393, 0.432], [4394, 0.538], + [4395, 0.485], [4396, 0.504], [4397, 0.53], [4398, 0.518], + [4399, 0.483], [4400, 0.517], [8100, 0.001], [8101, 0.002], + [8111, 0.001], [8137, 0.002], [8296, 0.001], [8354, 0.002], + [8355, 0.001], [8362, 0.001], [8536, 0.022], [8537, 0.043], + [8538, 0.045], [8539, 0.041], [8540, 0.023], [8541, 0.011], + [8542, 0.006], [8543, 0.001], [8565, 0.033], [10588, 0.004], + [10589, 0.003], [10590, 0.003], [10591, 0.001], [10597, 0.002], + [10598, 0.002], [10599, 0.003], [10600, 0.001], [10601, 0.008], + [10602, 0.005], [10603, 0.006], [10604, 0.002], [10605, 0.002], + [10606, 0.002], [10607, 0.002], [10608, 0.002], [10609, 0.001], + [10610, 0.003], [10611, 0.004], [10612, 0.005], [10613, 0.002], + [10614, 0.015], [10615, 0.011], [10616, 0.012], [10617, 0.004], + [10618, 0.004], [10619, 0.004], [10620, 0.003], [10621, 0.003], + [10622, 0.003], [10623, 0.006], [10624, 0.009], [10625, 0.011], + [10626, 0.005], [10627, 0.031], [10628, 0.021], [10629, 0.023], + [10630, 0.008], [10631, 0.007], [10632, 0.007], [10633, 0.007], + [10634, 0.006], [10635, 0.005], [10636, 0.013], [10637, 0.017], + [10638, 0.022], [10639, 0.01], [10640, 0.061], [10641, 0.042], + [10642, 0.046], [10643, 0.015], [10644, 0.014], [10645, 0.014], + [10646, 0.013], [10647, 0.013], [10648, 0.011], [10649, 0.025], + [10650, 0.034], [10651, 0.043], [10652, 0.02], [10653, 0.1], + [10654, 0.07], [10655, 0.077], [10656, 0.027], [10657, 0.025], + [10658, 0.024], [10659, 0.023], [10660, 0.022], [10661, 0.019], + [10662, 0.043], [10663, 0.058], [10664, 0.072], [10665, 0.035], + [10666, 0.155], [10667, 0.115], [10668, 0.125], [10669, 0.047], + [10670, 0.043], [10671, 0.042], [10672, 0.039], [10673, 0.038], + [10674, 0.033], [10675, 0.073], [10676, 0.096], [10677, 0.117], + [10678, 0.059], [10679, 0.22], [10680, 0.175], [10681, 0.189], + [10682, 0.079], [10683, 0.072], [10684, 0.071], [10685, 0.066], + [10686, 0.063], [10687, 0.056], [10688, 0.12], [10689, 0.154], + [10690, 0.181], [10691, 0.098], [10692, 0.364], [10693, 0.313], + [10694, 0.33], [10695, 0.391], [10696, 0.132], [10697, 0.12], + [10698, 0.117], [10699, 0.109], [10700, 0.104], [10701, 0.091], + [10702, 0.414], [10703, 0.286], [10704, 0.319], [10705, 0.235], + [10706, 0.421], [10707, 0.369], [10708, 0.386], [10709, 0.385], + [10710, 0.323], [10711, 0.292], [10712, 0.271], [10713, 0.243], + [10714, 0.223], [10715, 0.2], [10716, 0.347], [10717, 0.378], + [10718, 0.316], [10719, 0.004], [10720, 0.009], [10721, 0.018], + [10722, 0.069], [10723, 0.035], [10724, 0.09], [10725, 0.082], + [10726, 0.359], [10727, 0.209], [10728, 0.102], [10729, 0.202], + [10730, 0.133], [10731, 0.128], [10732, 0.221], [10733, 0.224], + [10734, 0.065], [10735, 0.168], [10736, 0.177], [10737, 0.179], + [10738, 0.168], [10739, 0.147], [10740, 0.148], [10741, 0.237], + [10742, 0.237], [10743, 0.116], [10744, 0.086], [10745, 0.104], + [10746, 0.397], [10747, 0.385], [10748, 0.068], [10749, 0.121], + [10750, 0.065], [10751, 0.112], [10752, 0.167], [10753, 0.227], + [10754, 0.364], [10755, 0.263], [10756, 0.562], [10757, 0.632], + [10758, 0.665], [10759, 0.637], [10760, 0.677], [10761, 0.717], + [10762, 0.634], [10763, 0.672], [10764, 0.711], [10765, 0.496], + [10766, 0.498], [10767, 0.421], [10768, 0.488], [10769, 0.463], + [10770, 0.424], [10771, 0.461], [10772, 0.42], [10773, 0.428], + [10774, 0.409], [10775, 0.434], [10776, 0.576], [10777, 0.584], + [10778, 0.482], [10779, 0.573], [10780, 0.55], [10781, 0.472], + [10782, 0.255], [10783, 0.226], [10784, 0.296], [10785, 0.26], + [10786, 0.248], [10787, 0.159], [10788, 0.169], [10789, 0.159], + [10790, 0.141], [10791, 0.215], [10792, 0.195], [10793, 0.295], + [10794, 0.185], [10795, 0.299], [10796, 0.293], [10797, 0.279], + [10798, 0.308], [10799, 0.304], [10800, 0.283], [10801, 0.193], + [10802, 0.515], [10803, 0.624], [10804, 0.608], [10805, 0.484], + [10806, 0.468], [10807, 0.474], [10808, 0.472], [10809, 0.501], + [10810, 0.506], [10811, 0.586], [10812, 0.615], [10813, 0.319], + [10814, 0.39], [10815, 0.472], [10816, 0.409], [10817, 0.397], + [10818, 0.375], [10819, 0.344], [10820, 0.315], [10821, 0.286], + [10822, 0.491], [10823, 0.488], [10824, 0.477], [10825, 0.464], + [10826, 0.441], [10827, 0.411], [10828, 0.543], [10829, 0.537], + [10830, 0.535], [10831, 0.528], [10832, 0.516], [10833, 0.512], + [10834, 0.398], [10835, 0.483], [10836, 0.461], [10837, 0.318], + [10838, 0.322], [10839, 0.313], [10840, 0.297], [10841, 0.271], + [10842, 0.283], [10843, 0.463], [10844, 0.307], [10845, 0.304], + [10846, 0.216], [10847, 0.217], [10848, 0.206], [10849, 0.189], + [10850, 0.177], [10851, 0.176], [10852, 0.206], [10853, 0.139], + [10854, 0.135], [10855, 0.128], [10856, 0.116], [10857, 0.111], + [10858, 0.109], [10859, 0.202], [10860, 0.134], [10861, 0.062], + [10862, 0.054], [10863, 0.05], [10864, 0.044], [10865, 0.047], + [10866, 0.043], [10867, 0.128], [10868, 0.063], [10869, 0.031], + [10870, 0.027], [10871, 0.025], [10872, 0.022], [10873, 0.023], + [10874, 0.021], [10875, 0.055], [10876, 0.035], [10883, 0.027], + [10884, 0.008], [10899, 0.403], [10900, 0.442], [10901, 0.415], + [10902, 0.395], [10903, 0.441], [10904, 0.459], [10905, 0.263], + [10906, 0.285], [10907, 0.25], [10908, 0.254], [10909, 0.268], + [10910, 0.265], [10911, 0.156], [10912, 0.183], [10913, 0.157], + [10914, 0.156], [10915, 0.164], [10916, 0.156], [10917, 0.094], + [10918, 0.118], [10919, 0.094], [10920, 0.093], [10921, 0.099], + [10922, 0.094], [10923, 0.033], [10924, 0.054], [10925, 0.033], + [10926, 0.032], [10927, 0.035], [10928, 0.032], [10929, 0.016], + [10930, 0.032], [10931, 0.016], [10932, 0.016], [10933, 0.018], + [10934, 0.019], [10936, 0.009], [10940, 0.006], [10947, 0.438], + [10948, 0.506], [10949, 0.495], [10950, 0.521], [10951, 0.553], + [10952, 0.269], [10953, 0.317], [10954, 0.312], [10955, 0.322], + [10956, 0.356], [10957, 0.154], [10958, 0.189], [10959, 0.176], + [10960, 0.186], [10961, 0.227], [10962, 0.091], [10963, 0.107], + [10964, 0.097], [10965, 0.107], [10966, 0.137], [10967, 0.03], + [10968, 0.026], [10969, 0.02], [10970, 0.029], [10971, 0.048], + [10972, 0.018], [10973, 0.013], [10974, 0.007], [10975, 0.014], + [10976, 0.024], [10977, 0.007], [10981, 0.513], [10982, 0.324], + [10983, 0.191], [10984, 0.108], [10985, 0.026], [10986, 0.013], + [10987, 0.573], [10988, 0.614], [10989, 0.61], [10990, 0.621], + [10991, 0.518], [10992, 0.599], [11005, 0.445], [11006, 0.474], + [11007, 0.467], [11008, 0.465], [11009, 0.539], [11010, 0.457], + [11011, 0.432], [11012, 0.538], [11013, 0.485], [11014, 0.504], + [11015, 0.53], [11016, 0.518], [11017, 0.483], [11018, 0.517], + [13638, 1.0], [13639, 1.0], [13640, 1.0], [13641, 1.0], + [13642, 1.0], [13643, 1.0], [13644, 1.0], [13645, 1.0], + [15583, 0.001], [15587, 0.092], [15598, 0.044], [15640, 0.001], + [15649, 0.001], [15692, 0.012], [15712, 0.236], [15726, 0.001], + [15727, 0.001], [15728, 0.001], [15729, 0.002], [15730, 0.003], + [15731, 0.002], [15732, 0.003], [15733, 0.002], [15734, 0.004], + [15737, 0.022], [15738, 0.022], [15739, 0.02], [15740, 0.026], + [15741, 0.025], [15742, 0.002], [15773, 0.241], [15803, 0.002], + [15805, 0.153], [15838, 0.006], [15848, 0.001], [15850, 0.003], + [15861, 0.014], [15873, 0.026], [15896, 0.053], [15899, 0.004], + [15901, 0.009], [15902, 0.128], [15903, 0.191], [15907, 0.002], + [15950, 0.006], [15951, 0.002], [15952, 0.002], [15953, 0.002], + [15954, 0.002], [15955, 0.006], [15956, 0.005], [15957, 0.003], + [15958, 0.015], [15959, 0.006], [15960, 0.005], [15961, 0.005], + [15962, 0.005], [15963, 0.013], [15964, 0.013], [15965, 0.008], + [15966, 0.026], [15967, 0.01], [15968, 0.009], [15969, 0.008], + [15970, 0.007], [15971, 0.02], [15972, 0.021], [15973, 0.012], + [15974, 0.039], [15975, 0.017], [15976, 0.016], [15977, 0.015], + [15978, 0.014], [15979, 0.034], [15980, 0.036], [15981, 0.021], + [15982, 0.086], [15983, 0.035], [15984, 0.033], [15985, 0.033], + [15986, 0.029], [15987, 0.071], [15988, 0.081], [15989, 0.041], + [15990, 0.176], [15991, 0.196], [15992, 0.161], [15993, 0.115], + [15994, 0.193], [15995, 0.001], [15996, 0.009], [15997, 0.038], + [15998, 0.023], [15999, 0.053], [16000, 0.05], [16001, 0.18], + [16002, 0.122], [16003, 0.08], [16004, 0.074], [16005, 0.104], + [16006, 0.121], [16007, 0.119], [16008, 0.115], [16009, 0.068], + [16010, 0.052], [16011, 0.074], [16012, 0.198], [16013, 0.188], + [16014, 0.043], [16015, 0.082], [16016, 0.048], [16017, 0.059], + [16018, 0.103], [16019, 0.186], [16020, 0.147], [16021, 0.218], + [16022, 0.208], [16023, 0.284], [16024, 0.288], [16025, 0.235], + [16026, 0.279], [16027, 0.265], [16028, 0.234], [16029, 0.079], + [16030, 0.103], [16031, 0.096], [16032, 0.088], [16033, 0.256], + [16034, 0.316], [16035, 0.308], [16036, 0.236], [16037, 0.238], + [16038, 0.255], [16039, 0.287], [16040, 0.308], [16041, 0.203], + [16042, 0.238], [16043, 0.196], [16044, 0.186], [16045, 0.171], + [16046, 0.157], [16047, 0.249], [16048, 0.247], [16049, 0.243], + [16050, 0.231], [16051, 0.241], [16052, 0.239], [16053, 0.239], + [16054, 0.235], [16055, 0.196], [16056, 0.245], [16057, 0.167], + [16058, 0.167], [16059, 0.163], [16060, 0.161], [16061, 0.137], + [16062, 0.152], [16063, 0.098], [16064, 0.097], [16065, 0.093], + [16066, 0.088], [16067, 0.075], [16068, 0.092], [16069, 0.045], + [16070, 0.042], [16071, 0.039], [16072, 0.031], [16073, 0.028], + [16074, 0.042], [16075, 0.011], [16076, 0.007], [16077, 0.006], + [16078, 0.006], [16079, 0.007], [16084, 0.01], [16088, 0.119], + [16089, 0.122], [16090, 0.129], [16091, 0.06], [16092, 0.056], + [16093, 0.06], [16094, 0.014], [16095, 0.015], [16096, 0.015], + [16097, 0.002], [16098, 0.002], [16099, 0.004], [16103, 0.121], + [16104, 0.167], [16105, 0.164], [16106, 0.147], [16107, 0.175], + [16108, 0.053], [16109, 0.082], [16110, 0.071], [16111, 0.068], + [16112, 0.088], [16113, 0.014], [16114, 0.018], [16115, 0.009], + [16116, 0.013], [16117, 0.022], [16118, 0.006], [16119, 0.004], + [16121, 0.002], [16122, 0.001], [16123, 0.266], [16124, 0.286], + [16125, 0.281], [16126, 0.229], [16127, 0.275], [16132, 0.237], + [16133, 0.222], [16134, 0.203], [16135, 0.235], [16136, 0.213], + [16441, 0.008], [16442, 0.003], [16443, 0.003], [16444, 0.003], + [16445, 0.004], [16446, 0.009], [16451, 0.004], [16452, 0.004], + [16453, 0.004], [16454, 0.009], [16457, 0.007], [16458, 0.001], + [16460, 0.004], [16461, 0.002], [16462, 0.002], [16463, 0.002], + [16465, 0.015], [16466, 0.008], [16480, 0.024], [16483, 0.216], + [16484, 0.127], [16485, 0.047], [16486, 0.079], [16487, 0.318], + [16488, 0.004], [16501, 0.001], [16502, 0.002], [16503, 0.002], + [16504, 0.004], [16505, 0.007], [16506, 0.011], [16507, 0.024], + [16508, 0.067], [16509, 0.143], [16510, 0.22], [16511, 0.238], + [16512, 0.157], [16513, 0.083], [16514, 0.031], [16515, 0.005], + [16523, 0.007], [16524, 0.018], [16525, 0.079], [16526, 0.172], + [16527, 0.285], [16528, 0.326], [16529, 0.002], [16530, 0.002], + [16531, 0.002], [16532, 0.001], [16541, 0.003], [16542, 0.002], + [16543, 0.002], [16887, 0.001], [16891, 0.092], [16902, 0.044], + [16952, 0.001], [16961, 0.001], [17004, 0.012], [17024, 0.236], + [17039, 0.001], [17040, 0.001], [17041, 0.001], [17042, 0.002], + [17043, 0.003], [17044, 0.002], [17045, 0.003], [17046, 0.002], + [17047, 0.004], [17051, 0.027], [17052, 0.022], [17053, 0.022], + [17054, 0.02], [17055, 0.026], [17056, 0.025], [17057, 0.002], + [17090, 0.241], [17120, 0.002], [17122, 0.153], [17155, 0.006], + [17165, 0.001], [17167, 0.003], [17178, 0.014], [17190, 0.026], + [17214, 0.053], [17217, 0.004], [17219, 0.009], [17220, 0.128], + [17221, 0.191], [17225, 0.002], [17270, 0.006], [17271, 0.002], + [17272, 0.002], [17273, 0.002], [17274, 0.002], [17275, 0.006], + [17276, 0.005], [17277, 0.003], [17278, 0.015], [17279, 0.006], + [17280, 0.005], [17281, 0.005], [17282, 0.005], [17283, 0.004], + [17284, 0.013], [17285, 0.013], [17286, 0.008], [17287, 0.026], + [17288, 0.01], [17289, 0.009], [17290, 0.008], [17291, 0.007], + [17292, 0.02], [17293, 0.021], [17294, 0.012], [17295, 0.039], + [17296, 0.017], [17297, 0.016], [17298, 0.015], [17299, 0.014], + [17300, 0.034], [17301, 0.036], [17302, 0.021], [17303, 0.086], + [17304, 0.035], [17305, 0.033], [17306, 0.033], [17307, 0.029], + [17308, 0.071], [17309, 0.081], [17310, 0.041], [17311, 0.176], + [17312, 0.196], [17313, 0.211], [17314, 0.161], [17315, 0.115], + [17316, 0.193], [17317, 0.001], [17318, 0.009], [17319, 0.038], + [17320, 0.023], [17321, 0.053], [17322, 0.05], [17323, 0.18], + [17324, 0.132], [17325, 0.079], [17326, 0.122], [17327, 0.08], + [17328, 0.074], [17329, 0.104], [17330, 0.121], [17331, 0.049], + [17332, 0.119], [17333, 0.115], [17334, 0.068], [17335, 0.052], + [17336, 0.074], [17337, 0.198], [17338, 0.188], [17339, 0.043], + [17340, 0.082], [17341, 0.048], [17342, 0.059], [17343, 0.103], + [17344, 0.186], [17345, 0.147], [17346, 0.341], [17347, 0.333], + [17348, 0.218], [17349, 0.208], [17350, 0.284], [17351, 0.288], + [17352, 0.235], [17353, 0.279], [17354, 0.265], [17355, 0.234], + [17356, 0.079], [17357, 0.103], [17358, 0.096], [17359, 0.088], + [17360, 0.256], [17361, 0.316], [17362, 0.308], [17363, 0.236], + [17364, 0.238], [17365, 0.255], [17366, 0.287], [17367, 0.308], + [17368, 0.203], [17369, 0.238], [17370, 0.196], [17371, 0.186], + [17372, 0.171], [17373, 0.157], [17374, 0.249], [17375, 0.247], + [17376, 0.243], [17377, 0.231], [17378, 0.219], [17379, 0.241], + [17380, 0.239], [17381, 0.239], [17382, 0.235], [17383, 0.196], + [17384, 0.245], [17385, 0.167], [17386, 0.167], [17387, 0.163], + [17388, 0.161], [17389, 0.158], [17390, 0.137], [17391, 0.152], + [17392, 0.098], [17393, 0.097], [17394, 0.093], [17395, 0.088], + [17396, 0.075], [17397, 0.092], [17398, 0.045], [17399, 0.042], + [17400, 0.039], [17401, 0.031], [17402, 0.028], [17403, 0.042], + [17404, 0.011], [17405, 0.007], [17406, 0.006], [17407, 0.006], + [17408, 0.007], [17413, 0.01], [17417, 0.119], [17418, 0.122], + [17419, 0.129], [17420, 0.06], [17421, 0.056], [17422, 0.06], + [17423, 0.014], [17424, 0.015], [17425, 0.015], [17426, 0.002], + [17427, 0.002], [17428, 0.004], [17432, 0.121], [17433, 0.167], + [17434, 0.164], [17435, 0.147], [17436, 0.175], [17437, 0.053], + [17438, 0.082], [17439, 0.071], [17440, 0.068], [17441, 0.088], + [17442, 0.014], [17443, 0.018], [17444, 0.009], [17445, 0.013], + [17446, 0.022], [17447, 0.006], [17448, 0.004], [17450, 0.002], + [17451, 0.001], [17452, 0.266], [17453, 0.286], [17454, 0.281], + [17455, 0.229], [17456, 0.275], [17461, 0.237], [17462, 0.222], + [17463, 0.203], [17464, 0.235], [17465, 0.213], [17763, 0.012], + [17772, 0.008], [17773, 0.003], [17774, 0.003], [17775, 0.003], + [17776, 0.004], [17777, 0.009], [17783, 0.004], [17784, 0.004], + [17785, 0.004], [17786, 0.009], [17789, 0.007], [17790, 0.001], + [17792, 0.004], [17793, 0.002], [17794, 0.002], [17795, 0.002], + [17797, 0.015], [17798, 0.008], [17814, 0.024], [17817, 0.216], + [17818, 0.127], [17819, 0.047], [17820, 0.079], [17821, 0.318], + [17822, 0.004], [17835, 0.001], [17836, 0.002], [17837, 0.002], + [17838, 0.004], [17839, 0.007], [17840, 0.011], [17841, 0.024], + [17842, 0.067], [17843, 0.143], [17844, 0.22], [17845, 0.238], + [17846, 0.157], [17847, 0.083], [17848, 0.031], [17849, 0.005], + [17857, 0.007], [17858, 0.018], [17859, 0.079], [17860, 0.172], + [17861, 0.285], [17862, 0.326], [17863, 0.002], [17864, 0.002], + [17865, 0.002], [17866, 0.001], [17877, 0.003], [17878, 0.002], + [17879, 0.002], [17952, 0.001], [17953, 0.006], [17954, 0.011], + [17955, 0.024], [17956, 0.063], [17957, 0.143], [17958, 0.238], + [17959, 0.084], [17960, 0.027], [17961, 0.002], [17964, 0.16], + [17965, 0.08], [17966, 0.018], [17967, 0.007], [17968, 0.288], + [17974, 0.001], [17975, 0.002], [18002, 0.423], [18003, 0.501], + [18004, 0.818], [18005, 0.61], [18006, 0.693], [18007, 0.677], + [18008, 0.421], [18009, 0.442], [18010, 0.536], [18011, 0.727], + [18012, 0.709], [18013, 0.466], [18014, 0.555], [18015, 0.568], + [18016, 0.576], [18017, 0.58], [18018, 0.584], [18019, 0.452], + [18020, 0.469], [18021, 0.461], [18022, 0.449], [18023, 0.533], + [18024, 0.491], [18025, 0.529], [18026, 0.533], [18027, 0.356], + [18028, 0.518], [18029, 0.432], [18030, 0.359], [18031, 0.293], + [18032, 0.304], [18033, 0.271], [18034, 0.577], [18035, 0.457], + [18036, 0.561], [18037, 0.676], [18038, 0.423], [18039, 0.501], + [18040, 0.61], [18041, 0.693], [18042, 0.677], [18043, 0.421], + [18044, 0.442], [18045, 0.536], [18046, 0.727], [18047, 0.709], + [18048, 0.466], [18049, 0.555], [18050, 0.568], [18051, 0.576], + [18052, 0.58], [18053, 0.452], [18054, 0.469], [18055, 0.461], + [18056, 0.449], [18057, 0.536], [18058, 0.533], [18059, 0.491], + [18060, 0.529], [18061, 0.533], [18062, 0.729], [18063, 0.356], + [18064, 0.518], [18065, 0.432], [18066, 0.359], [18067, 0.293], + [18068, 0.304], [18069, 0.271], [18070, 0.577], [18071, 0.457], + [18072, 0.561], [18073, 0.676], [18074, 0.242], [18075, 0.337], + [18076, 0.335], [18077, 0.305], [18078, 0.227], [18079, 0.212], + [18080, 0.292], [18081, 0.154], [18082, 0.128], [18083, 0.073], + [18084, 0.274], [18085, 0.181], [18086, 0.138], [18087, 0.114], + [18088, 0.114], [18089, 0.178], [18090, 0.238], [18091, 0.242], + [18092, 0.337], [18093, 0.335], [18094, 0.305], [18095, 0.227], + [18096, 0.22], [18097, 0.212], [18098, 0.292], [18099, 0.154], + [18100, 0.537], [18101, 0.128], [18102, 0.073], [18103, 0.274], + [18104, 0.181], [18105, 0.138], [18106, 0.114], [18107, 0.114], + [18108, 0.178], [18109, 0.238], [18110, 0.097], [18111, 0.101], + [18112, 0.091], [18113, 0.079], [18114, 0.08], [18115, 0.062], + [18116, 0.06], [18117, 0.06], [18118, 0.066], [18119, 0.06], + [18120, 0.087], [18121, 0.069], [18122, 0.04], [18123, 0.05], + [18124, 0.034], [18125, 0.075], [18126, 0.06], [18127, 0.097], + [18128, 0.101], [18129, 0.091], [18130, 0.079], [18131, 0.08], + [18132, 0.103], [18133, 0.062], [18134, 0.06], [18135, 0.06], + [18136, 0.06], [18137, 0.066], [18138, 0.06], [18139, 0.087], + [18140, 0.069], [18141, 0.04], [18142, 0.05], [18143, 0.034], + [18144, 0.075], [18145, 0.06], [18146, 0.035], [18147, 0.019], + [18148, 0.014], [18149, 0.014], [18150, 0.014], [18151, 0.012], + [18154, 0.019], [18156, 0.023], [18157, 0.029], [18158, 0.008], + [18159, 0.015], [18160, 0.007], [18161, 0.014], [18163, 0.035], + [18164, 0.019], [18165, 0.014], [18166, 0.014], [18167, 0.014], + [18168, 0.014], [18169, 0.012], [18173, 0.019], [18175, 0.023], + [18176, 0.029], [18177, 0.008], [18178, 0.015], [18179, 0.007], + [18180, 0.014], [18784, 0.01], [18786, 0.054], [18787, 0.083], + [18788, 0.08], [18789, 0.108], [18834, 0.008], [18836, 0.087], + [18837, 0.093], [18838, 0.109], [18839, 0.099], [18868, 0.158], + [18870, 0.457], [18871, 0.549], [18900, 0.024], [18901, 0.016], + [18902, 0.507], [18903, 0.45], [18933, 0.025], [18934, 0.549], + [18935, 0.482], [18998, 0.01], [19000, 0.054], [19001, 0.083], + [19002, 0.08], [19003, 0.108], [19048, 0.008], [19050, 0.087], + [19051, 0.093], [19052, 0.109], [19053, 0.099], [19082, 0.158], + [19084, 0.457], [19085, 0.549], [19114, 0.024], [19115, 0.016], + [19116, 0.507], [19117, 0.45], [19147, 0.025], [19148, 0.549], + [19149, 0.482] + ], + "spine05": [ + [1864, 0.001], [1865, 0.002], [1866, 0.002], [1867, 0.002], + [1868, 0.001], [1893, 0.002], [1897, 0.002], [3962, 0.001], + [3965, 0.002], [3966, 0.002], [3967, 0.002], [3968, 0.001], + [3969, 0.001], [3975, 0.002], [3976, 0.002], [3977, 0.002], + [3978, 0.002], [3979, 0.004], [3980, 0.003], [3981, 0.003], + [3982, 0.003], [3983, 0.002], [3984, 0.002], [3985, 0.001], + [3986, 0.001], [3987, 0.001], [3988, 0.001], [3989, 0.004], + [3990, 0.004], [3991, 0.003], [3992, 0.003], [3993, 0.007], + [3994, 0.006], [3995, 0.007], [3996, 0.005], [3997, 0.004], + [3998, 0.004], [3999, 0.003], [4000, 0.003], [4001, 0.003], + [4002, 0.003], [4003, 0.007], [4004, 0.007], [4005, 0.007], + [4006, 0.006], [4007, 0.014], [4008, 0.012], [4009, 0.014], + [4010, 0.01], [4011, 0.008], [4012, 0.007], [4013, 0.006], + [4014, 0.006], [4015, 0.005], [4016, 0.005], [4017, 0.014], + [4018, 0.015], [4019, 0.014], [4020, 0.012], [4021, 0.028], + [4022, 0.024], [4023, 0.027], [4024, 0.02], [4025, 0.016], + [4026, 0.014], [4027, 0.011], [4028, 0.011], [4029, 0.011], + [4030, 0.011], [4031, 0.028], [4032, 0.031], [4033, 0.028], + [4034, 0.024], [4035, 0.079], [4036, 0.068], [4037, 0.076], + [4038, 0.082], [4039, 0.034], [4040, 0.027], [4041, 0.024], + [4042, 0.02], [4043, 0.02], [4044, 0.019], [4045, 0.019], + [4046, 0.053], [4047, 0.08], [4048, 0.075], [4049, 0.065], + [4050, 0.119], [4051, 0.108], [4052, 0.118], [4053, 0.081], + [4054, 0.094], [4055, 0.076], [4056, 0.067], [4057, 0.056], + [4058, 0.057], [4059, 0.056], [4060, 0.056], [4061, 0.123], + [4062, 0.118], [4063, 0.102], [4066, 0.001], [4067, 0.004], + [4068, 0.002], [4069, 0.053], [4070, 0.006], [4071, 0.025], + [4072, 0.004], [4073, 0.004], [4074, 0.086], [4075, 0.025], + [4076, 0.006], [4077, 0.034], [4078, 0.008], [4079, 0.008], + [4080, 0.032], [4081, 0.031], [4082, 0.003], [4083, 0.015], + [4084, 0.015], [4085, 0.016], [4086, 0.016], [4087, 0.017], + [4088, 0.003], [4089, 0.013], [4090, 0.03], [4091, 0.032], + [4092, 0.008], [4093, 0.013], [4094, 0.004], [4095, 0.009], + [4096, 0.08], [4097, 0.078], [4098, 0.004], [4099, 0.008], + [4100, 0.004], [4101, 0.008], [4102, 0.015], [4103, 0.031], + [4104, 0.083], [4105, 0.074], [4106, 0.07], [4107, 0.07], + [4108, 0.112], [4109, 0.152], [4110, 0.152], [4111, 0.049], + [4112, 0.049], [4113, 0.063], [4114, 0.077], [4115, 0.077], + [4116, 0.028], [4117, 0.028], [4118, 0.049], [4119, 0.069], + [4120, 0.069], [4121, 0.049], [4122, 0.12], [4123, 0.116], + [4124, 0.132], [4125, 0.118], [4126, 0.116], [4127, 0.125], + [4128, 0.175], [4129, 0.164], [4130, 0.176], [4131, 0.164], + [4132, 0.165], [4133, 0.166], [4134, 0.161], [4135, 0.184], + [4136, 0.161], [4137, 0.155], [4138, 0.177], [4139, 0.047], + [4140, 0.051], [4141, 0.048], [4142, 0.047], [4143, 0.042], + [4144, 0.041], [4145, 0.033], [4146, 0.034], [4147, 0.033], + [4148, 0.033], [4149, 0.059], [4150, 0.047], [4151, 0.038], + [4152, 0.041], [4153, 0.052], [4154, 0.038], [4155, 0.052], + [4156, 0.054], [4157, 0.051], [4158, 0.052], [4159, 0.054], + [4160, 0.048], [4161, 0.226], [4162, 0.209], [4163, 0.214], + [4164, 0.195], [4165, 0.195], [4166, 0.225], [4167, 0.209], + [4168, 0.227], [4169, 0.223], [4170, 0.188], [4171, 0.196], + [4172, 0.113], [4173, 0.151], [4174, 0.187], [4175, 0.134], + [4176, 0.119], [4177, 0.107], [4178, 0.094], [4179, 0.097], + [4180, 0.095], [4181, 0.095], [4182, 0.171], [4183, 0.165], + [4184, 0.158], [4185, 0.153], [4186, 0.163], [4187, 0.16], + [4188, 0.161], [4189, 0.206], [4190, 0.211], [4191, 0.215], + [4192, 0.221], [4193, 0.251], [4194, 0.259], [4195, 0.259], + [4196, 0.141], [4197, 0.178], [4198, 0.215], [4199, 0.18], + [4200, 0.217], [4201, 0.265], [4202, 0.306], [4203, 0.387], + [4204, 0.436], [4205, 0.435], [4206, 0.21], [4207, 0.159], + [4208, 0.161], [4209, 0.152], [4210, 0.187], [4211, 0.249], + [4212, 0.282], [4213, 0.341], [4214, 0.448], [4215, 0.447], + [4216, 0.131], [4217, 0.12], [4218, 0.154], [4219, 0.235], + [4220, 0.258], [4221, 0.305], [4222, 0.461], [4223, 0.459], + [4224, 0.131], [4225, 0.111], [4226, 0.088], [4227, 0.122], + [4228, 0.221], [4229, 0.234], [4230, 0.27], [4231, 0.474], + [4232, 0.471], [4233, 0.103], [4234, 0.091], [4235, 0.052], + [4236, 0.095], [4237, 0.294], [4238, 0.318], [4239, 0.359], + [4240, 0.568], [4241, 0.566], [4242, 0.075], [4243, 0.065], + [4244, 0.017], [4245, 0.069], [4246, 0.367], [4247, 0.402], + [4248, 0.447], [4249, 0.662], [4250, 0.662], [4251, 0.048], + [4252, 0.038], [4254, 0.121], [4255, 0.367], [4256, 0.522], + [4257, 0.622], [4258, 0.771], [4259, 0.771], [4260, 0.022], + [4261, 0.017], [4263, 0.043], [4264, 0.505], [4265, 0.556], + [4266, 0.748], [4267, 0.735], [4269, 0.238], [4270, 0.221], + [4271, 0.253], [4272, 0.264], [4273, 0.26], [4274, 0.25], + [4275, 0.187], [4276, 0.168], [4277, 0.202], [4278, 0.215], + [4279, 0.216], [4280, 0.212], [4281, 0.123], [4282, 0.129], + [4283, 0.119], [4284, 0.133], [4285, 0.123], [4286, 0.125], + [4287, 0.084], [4288, 0.109], [4289, 0.069], [4290, 0.089], + [4291, 0.066], [4292, 0.068], [4293, 0.045], [4294, 0.09], + [4295, 0.02], [4296, 0.046], [4297, 0.01], [4298, 0.012], + [4299, 0.032], [4300, 0.063], [4301, 0.01], [4302, 0.029], + [4303, 0.005], [4304, 0.006], [4305, 0.019], [4306, 0.036], + [4308, 0.011], [4311, 0.009], [4312, 0.015], [4316, 0.009], + [4317, 0.439], [4318, 0.273], [4319, 0.411], [4320, 0.385], + [4321, 0.237], [4322, 0.272], [4323, 0.592], [4324, 0.25], + [4325, 0.543], [4326, 0.482], [4327, 0.234], [4328, 0.295], + [4329, 0.636], [4330, 0.151], [4331, 0.553], [4332, 0.477], + [4333, 0.183], [4334, 0.258], [4335, 0.666], [4336, 0.083], + [4337, 0.546], [4338, 0.441], [4339, 0.12], [4340, 0.195], + [4341, 0.696], [4342, 0.016], [4343, 0.539], [4344, 0.407], + [4345, 0.058], [4346, 0.132], [4347, 0.707], [4348, 0.008], + [4349, 0.505], [4350, 0.303], [4351, 0.036], [4352, 0.08], + [4354, 0.172], [4355, 0.014], [4356, 0.028], [4357, 0.438], + [4358, 0.591], [4359, 0.632], [4360, 0.66], [4361, 0.688], + [4362, 0.703], [4363, 0.217], [4364, 0.233], [4365, 0.282], + [4366, 0.282], [4367, 0.282], [4368, 0.256], [4369, 0.285], + [4370, 0.718], [4371, 0.718], [4372, 0.819], [4373, 0.833], + [4374, 0.835], [4375, 0.839], [4376, 0.731], [4377, 0.735], + [4378, 0.471], [4379, 0.557], [4380, 0.559], [4381, 0.538], + [4382, 0.329], [4383, 0.38], [4384, 0.511], [4385, 0.505], + [4386, 0.375], [4387, 0.375], [4388, 0.217], [4389, 0.237], + [4390, 0.262], [4391, 0.209], [4392, 0.287], [4393, 0.348], + [4394, 0.218], [4395, 0.249], [4396, 0.23], [4397, 0.248], + [4398, 0.259], [4399, 0.252], [4400, 0.221], [4401, 0.007], + [4404, 0.008], [4408, 0.082], [4411, 0.19], [4412, 0.207], + [4413, 0.389], [4414, 0.35], [4416, 0.052], [4419, 0.109], + [4420, 0.117], [4421, 0.141], [4422, 0.176], [4423, 0.04], + [4424, 0.042], [4425, 0.061], [4426, 0.059], [4427, 0.354], + [4430, 0.185], [4431, 0.058], [4433, 0.019], [4442, 0.014], + [4445, 0.019], [4446, 0.018], [4447, 0.029], [4448, 0.027], + [4450, 0.029], [4452, 0.008], [4464, 0.007], [4465, 0.008], + [4466, 0.011], [4467, 0.01], [4469, 0.011], [6335, 0.56], + [6390, 0.833], [6392, 0.467], [6393, 0.269], [6394, 0.128], + [6395, 0.051], [6396, 0.022], [6397, 0.009], [6431, 0.824], + [8536, 0.001], [8537, 0.002], [8538, 0.002], [8539, 0.002], + [8540, 0.001], [8565, 0.002], [10624, 0.001], [10627, 0.002], + [10628, 0.002], [10629, 0.002], [10630, 0.001], [10631, 0.001], + [10636, 0.002], [10637, 0.002], [10638, 0.002], [10639, 0.002], + [10640, 0.004], [10641, 0.003], [10642, 0.003], [10643, 0.003], + [10644, 0.002], [10645, 0.002], [10646, 0.001], [10647, 0.001], + [10648, 0.001], [10649, 0.004], [10650, 0.004], [10651, 0.003], + [10652, 0.003], [10653, 0.007], [10654, 0.006], [10655, 0.007], + [10656, 0.005], [10657, 0.004], [10658, 0.004], [10659, 0.003], + [10660, 0.003], [10661, 0.003], [10662, 0.007], [10663, 0.007], + [10664, 0.007], [10665, 0.006], [10666, 0.014], [10667, 0.012], + [10668, 0.014], [10669, 0.01], [10670, 0.008], [10671, 0.007], + [10672, 0.006], [10673, 0.006], [10674, 0.005], [10675, 0.014], + [10676, 0.015], [10677, 0.014], [10678, 0.012], [10679, 0.028], + [10680, 0.024], [10681, 0.027], [10682, 0.02], [10683, 0.016], + [10684, 0.014], [10685, 0.011], [10686, 0.011], [10687, 0.011], + [10688, 0.028], [10689, 0.031], [10690, 0.028], [10691, 0.024], + [10692, 0.079], [10693, 0.068], [10694, 0.076], [10695, 0.082], + [10696, 0.034], [10697, 0.027], [10698, 0.024], [10699, 0.02], + [10700, 0.02], [10701, 0.019], [10702, 0.053], [10703, 0.08], + [10704, 0.075], [10705, 0.065], [10706, 0.119], [10707, 0.108], + [10708, 0.118], [10709, 0.081], [10710, 0.094], [10711, 0.076], + [10712, 0.067], [10713, 0.056], [10714, 0.057], [10715, 0.056], + [10716, 0.123], [10717, 0.118], [10718, 0.102], [10721, 0.001], + [10722, 0.004], [10723, 0.002], [10724, 0.004], [10725, 0.004], + [10726, 0.086], [10727, 0.025], [10728, 0.006], [10729, 0.034], + [10730, 0.008], [10731, 0.008], [10732, 0.032], [10733, 0.031], + [10734, 0.003], [10735, 0.015], [10736, 0.015], [10737, 0.016], + [10738, 0.016], [10739, 0.017], [10740, 0.013], [10741, 0.03], + [10742, 0.032], [10743, 0.008], [10744, 0.004], [10745, 0.009], + [10746, 0.08], [10747, 0.078], [10748, 0.004], [10749, 0.008], + [10750, 0.004], [10751, 0.008], [10752, 0.015], [10753, 0.031], + [10754, 0.083], [10755, 0.074], [10756, 0.07], [10757, 0.112], + [10758, 0.152], [10759, 0.049], [10760, 0.063], [10761, 0.077], + [10762, 0.028], [10763, 0.049], [10764, 0.069], [10765, 0.12], + [10766, 0.116], [10767, 0.132], [10768, 0.118], [10769, 0.116], + [10770, 0.125], [10771, 0.175], [10772, 0.164], [10773, 0.176], + [10774, 0.164], [10775, 0.165], [10776, 0.166], [10777, 0.161], + [10778, 0.184], [10779, 0.161], [10780, 0.155], [10781, 0.177], + [10782, 0.047], [10783, 0.051], [10784, 0.048], [10785, 0.047], + [10786, 0.042], [10787, 0.041], [10788, 0.033], [10789, 0.034], + [10790, 0.033], [10791, 0.059], [10792, 0.047], [10793, 0.038], + [10794, 0.041], [10795, 0.052], [10796, 0.052], [10797, 0.054], + [10798, 0.051], [10799, 0.052], [10800, 0.054], [10801, 0.048], + [10802, 0.226], [10803, 0.209], [10804, 0.214], [10805, 0.195], + [10806, 0.195], [10807, 0.225], [10808, 0.209], [10809, 0.227], + [10810, 0.223], [10811, 0.188], [10812, 0.196], [10813, 0.113], + [10814, 0.151], [10815, 0.187], [10816, 0.134], [10817, 0.119], + [10818, 0.107], [10819, 0.094], [10820, 0.097], [10821, 0.095], + [10822, 0.171], [10823, 0.165], [10824, 0.158], [10825, 0.153], + [10826, 0.163], [10827, 0.16], [10828, 0.206], [10829, 0.211], + [10830, 0.215], [10831, 0.221], [10832, 0.251], [10833, 0.259], + [10834, 0.141], [10835, 0.178], [10836, 0.215], [10837, 0.18], + [10838, 0.217], [10839, 0.265], [10840, 0.306], [10841, 0.387], + [10842, 0.436], [10843, 0.21], [10844, 0.159], [10845, 0.161], + [10846, 0.152], [10847, 0.187], [10848, 0.249], [10849, 0.282], + [10850, 0.341], [10851, 0.448], [10852, 0.131], [10853, 0.12], + [10854, 0.154], [10855, 0.235], [10856, 0.258], [10857, 0.305], + [10858, 0.461], [10859, 0.131], [10860, 0.111], [10861, 0.088], + [10862, 0.122], [10863, 0.221], [10864, 0.234], [10865, 0.27], + [10866, 0.474], [10867, 0.103], [10868, 0.091], [10869, 0.052], + [10870, 0.095], [10871, 0.294], [10872, 0.318], [10873, 0.359], + [10874, 0.568], [10875, 0.075], [10876, 0.065], [10877, 0.017], + [10878, 0.069], [10879, 0.367], [10880, 0.402], [10881, 0.447], + [10882, 0.662], [10883, 0.048], [10884, 0.038], [10886, 0.121], + [10887, 0.367], [10888, 0.522], [10889, 0.622], [10890, 0.771], + [10891, 0.022], [10892, 0.017], [10894, 0.043], [10895, 0.505], + [10896, 0.556], [10897, 0.748], [10899, 0.238], [10900, 0.221], + [10901, 0.253], [10902, 0.264], [10903, 0.26], [10904, 0.25], + [10905, 0.187], [10906, 0.168], [10907, 0.202], [10908, 0.215], + [10909, 0.216], [10910, 0.212], [10911, 0.123], [10912, 0.129], + [10913, 0.119], [10914, 0.133], [10915, 0.123], [10916, 0.125], + [10917, 0.084], [10918, 0.109], [10919, 0.069], [10920, 0.089], + [10921, 0.066], [10922, 0.068], [10923, 0.045], [10924, 0.09], + [10925, 0.02], [10926, 0.046], [10927, 0.01], [10928, 0.012], + [10929, 0.032], [10930, 0.063], [10931, 0.01], [10932, 0.029], + [10933, 0.005], [10934, 0.006], [10935, 0.019], [10936, 0.036], + [10938, 0.011], [10941, 0.009], [10942, 0.015], [10946, 0.009], + [10947, 0.273], [10948, 0.411], [10949, 0.385], [10950, 0.237], + [10951, 0.272], [10952, 0.25], [10953, 0.543], [10954, 0.482], + [10955, 0.234], [10956, 0.295], [10957, 0.151], [10958, 0.553], + [10959, 0.477], [10960, 0.183], [10961, 0.258], [10962, 0.083], + [10963, 0.546], [10964, 0.441], [10965, 0.12], [10966, 0.195], + [10967, 0.016], [10968, 0.539], [10969, 0.407], [10970, 0.058], + [10971, 0.132], [10972, 0.008], [10973, 0.505], [10974, 0.303], + [10975, 0.036], [10976, 0.08], [10978, 0.172], [10979, 0.014], + [10980, 0.028], [10981, 0.438], [10982, 0.591], [10983, 0.632], + [10984, 0.66], [10985, 0.688], [10986, 0.703], [10987, 0.217], + [10988, 0.233], [10989, 0.282], [10990, 0.282], [10991, 0.256], + [10992, 0.285], [10993, 0.718], [10994, 0.833], [10995, 0.839], + [10996, 0.735], [10997, 0.471], [10998, 0.557], [10999, 0.559], + [11000, 0.538], [11001, 0.329], [11002, 0.38], [11003, 0.511], + [11004, 0.505], [11005, 0.375], [11006, 0.217], [11007, 0.237], + [11008, 0.262], [11009, 0.209], [11010, 0.287], [11011, 0.348], + [11012, 0.218], [11013, 0.249], [11014, 0.23], [11015, 0.248], + [11016, 0.259], [11017, 0.252], [11018, 0.221], [11019, 0.007], + [11022, 0.008], [11026, 0.082], [11029, 0.19], [11030, 0.207], + [11031, 0.389], [11032, 0.35], [11034, 0.052], [11037, 0.109], + [11038, 0.117], [11039, 0.141], [11040, 0.176], [11041, 0.04], + [11042, 0.042], [11043, 0.061], [11044, 0.059], [11045, 0.354], + [11048, 0.185], [11049, 0.058], [11051, 0.019], [11060, 0.014], + [11063, 0.019], [11064, 0.018], [11065, 0.029], [11066, 0.027], + [11068, 0.029], [11070, 0.008], [11082, 0.007], [11083, 0.008], + [11084, 0.011], [11085, 0.01], [11087, 0.011], [12932, 0.56], + [12987, 0.833], [12989, 0.467], [12990, 0.269], [12991, 0.128], + [12992, 0.051], [12993, 0.022], [12994, 0.009], [13630, 1.0], + [13631, 1.0], [13632, 1.0], [13633, 1.0], [13634, 1.0], + [13635, 1.0], [13636, 1.0], [13637, 1.0], [15128, 0.845], + [15129, 0.649], [15130, 0.607], [15131, 0.672], [15132, 0.666], + [15133, 0.69], [15134, 0.571], [15135, 0.69], [15136, 0.793], + [15137, 0.504], [15138, 0.658], [15139, 0.649], [15140, 0.607], + [15141, 0.672], [15142, 0.666], [15143, 0.571], [15144, 0.793], + [15145, 0.504], [15146, 0.658], [15147, 0.67], [15148, 0.629], + [15149, 0.845], [15150, 0.656], [15151, 0.754], [15152, 0.807], + [15153, 0.674], [15154, 0.626], [15155, 0.626], [15156, 0.696], + [15157, 0.607], [15158, 0.57], [15159, 0.699], [15160, 0.567], + [15161, 0.511], [15162, 0.633], [15163, 0.77], [15164, 0.67], + [15165, 0.629], [15166, 0.656], [15167, 0.754], [15168, 0.674], + [15169, 0.807], [15170, 0.626], [15171, 0.607], [15172, 0.57], + [15173, 0.699], [15174, 0.567], [15175, 0.511], [15176, 0.633], + [15177, 0.626], [15178, 0.704], [15179, 0.669], [15180, 0.604], + [15181, 0.486], [15182, 0.559], [15183, 0.793], [15184, 0.704], + [15185, 0.669], [15186, 0.604], [15187, 0.486], [15188, 0.559], + [15189, 0.793], [15190, 0.743], [15191, 0.743], [15192, 1.0], + [15193, 1.0], [15194, 1.0], [15195, 1.0], [15196, 1.0], + [15197, 1.0], [15198, 1.0], [15199, 1.0], [15200, 1.0], + [15201, 1.0], [15202, 1.0], [15203, 1.0], [15204, 1.0], + [15205, 1.0], [15206, 1.0], [15207, 1.0], [15208, 1.0], + [15209, 1.0], [15210, 1.0], [15211, 1.0], [15212, 1.0], + [15213, 1.0], [15214, 0.738], [15215, 0.697], [15216, 0.69], + [15217, 0.616], [15218, 0.718], [15219, 0.729], [15220, 0.659], + [15221, 0.926], [15222, 1.0], [15223, 1.0], [15224, 1.0], + [15225, 1.0], [15226, 1.0], [15227, 1.0], [15228, 0.525], + [15229, 1.0], [15230, 1.0], [15231, 1.0], [15232, 1.0], + [15233, 1.0], [15234, 1.0], [15235, 0.525], [15236, 0.878], + [15237, 0.878], [15238, 0.616], [15239, 0.697], [15240, 0.738], + [15241, 0.593], [15242, 0.544], [15243, 0.593], [15244, 1.0], + [15245, 1.0], [15246, 1.0], [15247, 1.0], [15248, 1.0], + [15249, 1.0], [15250, 0.729], [15251, 0.718], [15252, 0.69], + [15253, 0.544], [15254, 1.0], [15255, 1.0], [15256, 1.0], + [15257, 1.0], [15258, 1.0], [15259, 1.0], [15260, 0.926], + [15261, 0.659], [15262, 0.975], [15263, 0.908], [15264, 1.0], + [15265, 0.906], [15266, 1.0], [15267, 0.91], [15268, 1.0], + [15269, 0.91], [15270, 1.0], [15271, 0.949], [15272, 1.0], + [15273, 0.931], [15274, 1.0], [15275, 0.982], [15276, 1.0], + [15277, 0.982], [15278, 1.0], [15279, 1.0], [15280, 1.0], + [15281, 1.0], [15282, 1.0], [15283, 1.0], [15284, 1.0], + [15285, 1.0], [15286, 1.0], [15287, 1.0], [15288, 1.0], + [15289, 1.0], [15290, 1.0], [15291, 1.0], [15292, 1.0], + [15293, 1.0], [15294, 1.0], [15295, 1.0], [15296, 1.0], + [15297, 0.993], [15298, 1.0], [15299, 1.0], [15300, 1.0], + [15301, 1.0], [15302, 1.0], [15303, 1.0], [15304, 1.0], + [15305, 1.0], [15306, 1.0], [15307, 1.0], [15308, 1.0], + [15309, 1.0], [15310, 1.0], [15311, 1.0], [15312, 1.0], + [15313, 1.0], [15314, 1.0], [15315, 1.0], [15316, 1.0], + [15317, 1.0], [15318, 1.0], [15319, 1.0], [15320, 1.0], + [15321, 1.0], [15322, 1.0], [15323, 1.0], [15324, 0.909], + [15325, 1.0], [15326, 1.0], [15327, 1.0], [15587, 0.062], + [15598, 0.049], [15692, 0.026], [15701, 0.008], [15712, 0.104], + [15737, 0.001], [15738, 0.001], [15740, 0.001], [15741, 0.002], + [15773, 0.096], [15805, 0.079], [15861, 0.002], [15873, 0.005], + [15896, 0.012], [15901, 0.001], [15902, 0.036], [15903, 0.073], + [15958, 0.001], [15959, 0.001], [15963, 0.001], [15964, 0.001], + [15965, 0.001], [15966, 0.002], [15967, 0.002], [15968, 0.001], + [15969, 0.001], [15971, 0.002], [15972, 0.002], [15973, 0.002], + [15974, 0.003], [15975, 0.003], [15976, 0.003], [15977, 0.002], + [15978, 0.002], [15979, 0.005], [15980, 0.003], [15981, 0.004], + [15982, 0.012], [15983, 0.008], [15984, 0.007], [15985, 0.006], + [15986, 0.005], [15987, 0.014], [15988, 0.011], [15989, 0.01], + [15990, 0.043], [15991, 0.041], [15992, 0.038], [15993, 0.032], + [15994, 0.041], [15997, 0.002], [15998, 0.001], [15999, 0.003], + [16000, 0.003], [16001, 0.043], [16002, 0.022], [16003, 0.006], + [16004, 0.006], [16005, 0.014], [16006, 0.018], [16007, 0.015], + [16008, 0.015], [16009, 0.005], [16010, 0.003], [16011, 0.009], + [16012, 0.04], [16013, 0.038], [16014, 0.003], [16015, 0.007], + [16016, 0.004], [16017, 0.005], [16018, 0.013], [16019, 0.043], + [16020, 0.043], [16021, 0.088], [16022, 0.079], [16023, 0.08], + [16024, 0.078], [16025, 0.088], [16026, 0.077], [16027, 0.074], + [16028, 0.088], [16029, 0.016], [16030, 0.026], [16031, 0.022], + [16032, 0.018], [16033, 0.117], [16034, 0.116], [16035, 0.117], + [16036, 0.106], [16037, 0.116], [16038, 0.116], [16039, 0.098], + [16040, 0.105], [16041, 0.079], [16042, 0.1], [16043, 0.061], + [16044, 0.054], [16045, 0.047], [16046, 0.047], [16047, 0.09], + [16048, 0.089], [16049, 0.088], [16050, 0.09], [16051, 0.104], + [16052, 0.112], [16053, 0.121], [16054, 0.138], [16055, 0.067], + [16056, 0.092], [16057, 0.093], [16058, 0.111], [16059, 0.133], + [16060, 0.162], [16061, 0.084], [16062, 0.08], [16063, 0.074], + [16064, 0.093], [16065, 0.122], [16066, 0.146], [16067, 0.058], + [16068, 0.063], [16069, 0.054], [16070, 0.073], [16071, 0.114], + [16072, 0.122], [16073, 0.04], [16074, 0.043], [16075, 0.025], + [16076, 0.057], [16077, 0.167], [16078, 0.185], [16079, 0.02], + [16080, 0.001], [16081, 0.06], [16082, 0.192], [16083, 0.277], + [16084, 0.021], [16085, 0.005], [16086, 0.268], [16087, 0.001], + [16088, 0.093], [16089, 0.098], [16090, 0.103], [16091, 0.052], + [16092, 0.042], [16093, 0.045], [16094, 0.021], [16095, 0.009], + [16096, 0.005], [16097, 0.008], [16098, 0.001], [16102, 0.001], + [16103, 0.113], [16104, 0.259], [16105, 0.235], [16106, 0.11], + [16107, 0.145], [16108, 0.05], [16109, 0.274], [16110, 0.228], + [16111, 0.071], [16112, 0.109], [16113, 0.007], [16114, 0.261], + [16115, 0.191], [16116, 0.026], [16117, 0.061], [16118, 0.246], + [16119, 0.001], [16120, 0.084], [16121, 0.007], [16122, 0.014], + [16123, 0.113], [16124, 0.128], [16125, 0.174], [16126, 0.13], + [16127, 0.168], [16128, 0.308], [16129, 0.407], [16130, 0.262], + [16131, 0.263], [16132, 0.101], [16133, 0.107], [16134, 0.119], + [16135, 0.123], [16136, 0.122], [16138, 0.026], [16141, 0.079], + [16142, 0.084], [16143, 0.177], [16144, 0.166], [16145, 0.032], + [16146, 0.042], [16147, 0.058], [16148, 0.073], [16149, 0.172], + [16150, 0.088], [16152, 0.009], [16159, 0.004], [16162, 0.008], + [16163, 0.009], [16164, 0.014], [16165, 0.014], [16166, 0.014], + [16168, 0.002], [16178, 0.002], [16179, 0.002], [16180, 0.003], + [16181, 0.002], [16182, 0.002], [16399, 0.25], [16400, 0.123], + [16401, 0.052], [16402, 0.011], [16403, 0.002], [16480, 0.001], + [16483, 0.03], [16484, 0.017], [16485, 0.003], [16486, 0.007], + [16487, 0.059], [16506, 0.002], [16507, 0.004], [16508, 0.015], + [16509, 0.047], [16510, 0.093], [16511, 0.147], [16512, 0.204], + [16513, 0.209], [16514, 0.187], [16515, 0.268], [16516, 0.369], + [16517, 0.35], [16518, 0.318], [16519, 0.365], [16520, 0.413], + [16521, 0.414], [16522, 0.354], [16523, 0.347], [16524, 0.338], + [16525, 0.317], [16526, 0.282], [16527, 0.181], [16528, 0.104], + [16891, 0.062], [16902, 0.049], [17004, 0.026], [17013, 0.008], + [17024, 0.104], [17051, 0.001], [17052, 0.001], [17053, 0.001], + [17055, 0.001], [17056, 0.002], [17090, 0.096], [17122, 0.079], + [17178, 0.002], [17190, 0.005], [17214, 0.012], [17219, 0.001], + [17220, 0.036], [17221, 0.073], [17278, 0.001], [17279, 0.001], + [17284, 0.001], [17285, 0.001], [17286, 0.001], [17287, 0.002], + [17288, 0.002], [17289, 0.001], [17290, 0.001], [17292, 0.002], + [17293, 0.002], [17294, 0.002], [17295, 0.003], [17296, 0.003], + [17297, 0.003], [17298, 0.002], [17299, 0.002], [17300, 0.005], + [17301, 0.003], [17302, 0.004], [17303, 0.012], [17304, 0.008], + [17305, 0.007], [17306, 0.006], [17307, 0.005], [17308, 0.014], + [17309, 0.011], [17310, 0.01], [17311, 0.043], [17312, 0.041], + [17313, 0.021], [17314, 0.038], [17315, 0.032], [17316, 0.041], + [17319, 0.002], [17320, 0.001], [17321, 0.003], [17322, 0.003], + [17323, 0.043], [17324, 0.014], [17325, 0.006], [17326, 0.022], + [17327, 0.006], [17328, 0.006], [17329, 0.014], [17330, 0.018], + [17331, 0.003], [17332, 0.015], [17333, 0.015], [17334, 0.005], + [17335, 0.003], [17336, 0.009], [17337, 0.04], [17338, 0.038], + [17339, 0.003], [17340, 0.007], [17341, 0.004], [17342, 0.005], + [17343, 0.013], [17344, 0.043], [17345, 0.043], [17346, 0.027], + [17347, 0.098], [17348, 0.088], [17349, 0.079], [17350, 0.08], + [17351, 0.078], [17352, 0.088], [17353, 0.077], [17354, 0.074], + [17355, 0.088], [17356, 0.016], [17357, 0.026], [17358, 0.022], + [17359, 0.018], [17360, 0.117], [17361, 0.116], [17362, 0.117], + [17363, 0.106], [17364, 0.116], [17365, 0.116], [17366, 0.098], + [17367, 0.105], [17368, 0.079], [17369, 0.1], [17370, 0.061], + [17371, 0.054], [17372, 0.047], [17373, 0.047], [17374, 0.09], + [17375, 0.089], [17376, 0.088], [17377, 0.09], [17378, 0.093], + [17379, 0.104], [17380, 0.112], [17381, 0.121], [17382, 0.138], + [17383, 0.067], [17384, 0.092], [17385, 0.093], [17386, 0.111], + [17387, 0.133], [17388, 0.162], [17389, 0.206], [17390, 0.084], + [17391, 0.08], [17392, 0.074], [17393, 0.093], [17394, 0.122], + [17395, 0.146], [17396, 0.058], [17397, 0.063], [17398, 0.054], + [17399, 0.073], [17400, 0.114], [17401, 0.122], [17402, 0.04], + [17403, 0.043], [17404, 0.025], [17405, 0.057], [17406, 0.167], + [17407, 0.185], [17408, 0.02], [17409, 0.001], [17410, 0.06], + [17411, 0.192], [17412, 0.277], [17413, 0.021], [17414, 0.005], + [17415, 0.268], [17416, 0.001], [17417, 0.093], [17418, 0.098], + [17419, 0.103], [17420, 0.052], [17421, 0.042], [17422, 0.045], + [17423, 0.021], [17424, 0.009], [17425, 0.005], [17426, 0.008], + [17427, 0.001], [17431, 0.001], [17432, 0.113], [17433, 0.259], + [17434, 0.235], [17435, 0.11], [17436, 0.145], [17437, 0.05], + [17438, 0.274], [17439, 0.228], [17440, 0.071], [17441, 0.109], + [17442, 0.007], [17443, 0.261], [17444, 0.191], [17445, 0.026], + [17446, 0.061], [17447, 0.246], [17448, 0.001], [17449, 0.084], + [17450, 0.007], [17451, 0.014], [17452, 0.113], [17453, 0.128], + [17454, 0.174], [17455, 0.13], [17456, 0.168], [17457, 0.308], + [17458, 0.407], [17459, 0.262], [17460, 0.263], [17461, 0.101], + [17462, 0.107], [17463, 0.119], [17464, 0.123], [17465, 0.122], + [17467, 0.026], [17470, 0.079], [17471, 0.084], [17472, 0.177], + [17473, 0.166], [17474, 0.032], [17475, 0.042], [17476, 0.058], + [17477, 0.073], [17478, 0.172], [17479, 0.088], [17481, 0.009], + [17488, 0.004], [17491, 0.008], [17492, 0.009], [17493, 0.014], + [17494, 0.014], [17495, 0.014], [17497, 0.002], [17507, 0.002], + [17508, 0.002], [17509, 0.003], [17510, 0.002], [17511, 0.002], + [17728, 0.25], [17729, 0.123], [17730, 0.052], [17731, 0.011], + [17732, 0.002], [17814, 0.001], [17817, 0.03], [17818, 0.017], + [17819, 0.003], [17820, 0.007], [17821, 0.059], [17840, 0.002], + [17841, 0.004], [17842, 0.015], [17843, 0.047], [17844, 0.093], + [17845, 0.147], [17846, 0.204], [17847, 0.209], [17848, 0.187], + [17849, 0.268], [17850, 0.369], [17851, 0.35], [17852, 0.318], + [17853, 0.365], [17854, 0.413], [17855, 0.414], [17856, 0.354], + [17857, 0.347], [17858, 0.338], [17859, 0.317], [17860, 0.282], + [17861, 0.181], [17862, 0.104], [17954, 0.002], [17955, 0.004], + [17956, 0.014], [17957, 0.047], [17958, 0.147], [17959, 0.223], + [17960, 0.234], [17961, 0.325], [17962, 0.383], [17963, 0.365], + [17964, 0.293], [17965, 0.324], [17966, 0.349], [17967, 0.353], + [17968, 0.178], [17969, 0.354], [17970, 0.409], [17971, 0.399], + [17972, 0.371], [17973, 0.411], [18002, 0.241], [18003, 0.293], + [18004, 0.119], [18005, 0.246], [18006, 0.124], [18007, 0.172], + [18008, 0.255], [18009, 0.293], [18010, 0.277], [18011, 0.183], + [18012, 0.181], [18013, 0.263], [18014, 0.274], [18015, 0.255], + [18016, 0.221], [18017, 0.201], [18018, 0.073], [18019, 0.265], + [18020, 0.293], [18021, 0.321], [18022, 0.354], [18023, 0.286], + [18024, 0.249], [18025, 0.241], [18026, 0.271], [18027, 0.382], + [18028, 0.267], [18029, 0.252], [18030, 0.297], [18031, 0.305], + [18032, 0.379], [18033, 0.362], [18034, 0.167], [18035, 0.404], + [18036, 0.259], [18037, 0.134], [18038, 0.241], [18039, 0.293], + [18040, 0.246], [18041, 0.124], [18042, 0.172], [18043, 0.255], + [18044, 0.293], [18045, 0.277], [18046, 0.183], [18047, 0.181], + [18048, 0.263], [18049, 0.274], [18050, 0.255], [18051, 0.221], + [18052, 0.201], [18053, 0.265], [18054, 0.293], [18055, 0.321], + [18056, 0.354], [18057, 0.281], [18058, 0.286], [18059, 0.249], + [18060, 0.241], [18061, 0.271], [18062, 0.265], [18063, 0.382], + [18064, 0.267], [18065, 0.252], [18066, 0.297], [18067, 0.305], + [18068, 0.379], [18069, 0.362], [18070, 0.167], [18071, 0.404], + [18072, 0.259], [18073, 0.134], [18074, 0.113], [18075, 0.165], + [18076, 0.217], [18077, 0.279], [18078, 0.367], [18079, 0.255], + [18080, 0.275], [18081, 0.544], [18082, 0.238], [18083, 0.582], + [18084, 0.128], [18085, 0.134], [18086, 0.164], [18087, 0.21], + [18088, 0.189], [18089, 0.446], [18090, 0.531], [18091, 0.113], + [18092, 0.165], [18093, 0.217], [18094, 0.279], [18095, 0.367], + [18096, 0.63], [18097, 0.255], [18098, 0.275], [18099, 0.544], + [18100, 0.401], [18101, 0.238], [18102, 0.582], [18103, 0.128], + [18104, 0.134], [18105, 0.164], [18106, 0.21], [18107, 0.189], + [18108, 0.446], [18109, 0.531], [18110, 0.105], [18111, 0.124], + [18112, 0.153], [18113, 0.174], [18114, 0.196], [18115, 0.124], + [18116, 0.235], [18117, 0.235], [18118, 0.044], [18119, 0.235], + [18120, 0.104], [18121, 0.084], [18122, 0.071], [18123, 0.028], + [18124, 0.036], [18125, 0.23], [18126, 0.235], [18127, 0.105], + [18128, 0.124], [18129, 0.153], [18130, 0.174], [18131, 0.196], + [18132, 0.378], [18133, 0.124], [18134, 0.235], [18135, 0.235], + [18136, 0.235], [18137, 0.044], [18138, 0.235], [18139, 0.104], + [18140, 0.084], [18141, 0.071], [18142, 0.028], [18143, 0.036], + [18144, 0.23], [18145, 0.235], [18146, 0.093], [18147, 0.068], + [18148, 0.066], [18149, 0.066], [18150, 0.066], [18151, 0.037], + [18152, 0.072], [18153, 0.074], [18154, 0.014], [18155, 0.073], + [18156, 0.08], [18157, 0.07], [18158, 0.038], [18159, 0.01], + [18160, 0.012], [18161, 0.066], [18162, 0.074], [18163, 0.093], + [18164, 0.068], [18165, 0.066], [18166, 0.066], [18167, 0.066], + [18168, 0.066], [18169, 0.037], [18170, 0.072], [18171, 0.074], + [18172, 0.075], [18173, 0.014], [18174, 0.073], [18175, 0.08], + [18176, 0.07], [18177, 0.038], [18178, 0.01], [18179, 0.012], + [18180, 0.066], [18181, 0.074], [18182, 0.051], [18183, 0.026], + [18184, 0.02], [18185, 0.02], [18186, 0.02], [18187, 0.013], + [18188, 0.013], [18190, 0.014], [18192, 0.042], [18193, 0.042], + [18194, 0.025], [18195, 0.013], [18197, 0.02], [18199, 0.051], + [18200, 0.026], [18201, 0.02], [18202, 0.02], [18203, 0.02], + [18204, 0.02], [18205, 0.013], [18206, 0.013], [18209, 0.014], + [18211, 0.042], [18212, 0.042], [18213, 0.025], [18214, 0.013], + [18216, 0.02], [18788, 0.019], [18868, 0.02], [18870, 0.197], + [18871, 0.205], [18900, 0.008], [18901, 0.007], [18902, 0.101], + [18903, 0.054], [18933, 0.008], [18934, 0.201], [18935, 0.094], + [19002, 0.019], [19082, 0.02], [19084, 0.197], [19085, 0.205], + [19114, 0.008], [19115, 0.007], [19116, 0.101], [19117, 0.054], + [19147, 0.008], [19148, 0.201], [19149, 0.094] + ], + "toe1-1.L": [ + [11517, 0.807], [11518, 0.868], [11519, 0.47], [11520, 0.272], + [11521, 0.09], [11524, 0.101], [11527, 0.086], [11528, 0.072], + [11529, 0.122], [11530, 0.049], [11531, 0.115], [11532, 0.139], + [11533, 0.174], [11534, 0.327], [11535, 0.069], [11536, 0.229], + [11537, 0.756], [11538, 0.175], [11539, 0.711], [11540, 0.444], + [11541, 0.503], [11542, 0.128], [11543, 0.56], [11544, 0.361], + [11545, 0.064], [11546, 0.119], [11547, 0.014], [11548, 0.122], + [11549, 0.4], [11552, 0.026], [11553, 0.101], [11554, 0.262], + [11555, 0.275], [11557, 0.058], [11558, 0.123], [11561, 0.048], + [11562, 0.04], [11563, 0.257], [11567, 0.07], [11568, 0.059], + [11571, 0.827], [11572, 0.564], [11573, 0.031], [11574, 0.057], + [11575, 0.011], [11576, 0.034], [11577, 0.133], [11578, 0.216], + [11579, 0.147], [11580, 0.086], [11581, 0.713], [11582, 0.504], + [11583, 0.367], [11584, 0.381], [11585, 0.1], [11586, 0.105], + [11587, 0.017], [11589, 0.41], [11592, 0.282], [11593, 0.04], + [11594, 0.1], [11595, 0.281], [11596, 0.3], [11599, 0.018], + [11600, 0.095], [11601, 0.168], [11603, 0.083], [11604, 0.023], + [12368, 0.904], [12369, 1.0], [12370, 0.818], [12371, 0.495], + [12372, 0.826], [12373, 0.888], [12374, 0.924], [12375, 0.768], + [12376, 0.679], [12377, 0.619], [12378, 0.113], [12379, 0.256], + [12380, 0.579], [12381, 0.658], [12382, 0.265], [12383, 0.527], + [12384, 0.339], [12385, 0.422], [12386, 0.481], [12387, 0.639], + [12388, 0.1], [12389, 0.091], [12390, 0.075], [12391, 0.4], + [12392, 0.126], [12393, 0.242], [12394, 0.099], [12395, 0.199], + [12396, 0.103], [12397, 0.34], [12400, 0.013], [12410, 0.032], + [12414, 0.008], [12419, 0.024], [12420, 0.054], [12424, 0.039], + [12426, 0.008], [12428, 0.012], [12429, 0.097], [12430, 0.118], + [12432, 0.066], [12433, 0.008], [12434, 0.122], [12436, 0.111], + [12449, 0.029], [12450, 0.162], [12451, 0.169], [12454, 0.128], + [12455, 0.042], [12456, 0.208], [12458, 0.173], [12461, 0.065], + [12462, 0.304], [12465, 0.199], [12466, 0.032], [12467, 0.362], + [12469, 0.319], [12595, 0.004], [12759, 0.052], [12760, 0.065], + [12761, 0.117], [12762, 0.187], [12763, 0.269], [12764, 0.973], + [12765, 0.424], [12766, 0.249], [12767, 0.54], [12768, 0.223], + [12769, 0.099], [12771, 0.068], [12772, 0.088], [12773, 0.069], + [12775, 0.055], [12778, 0.112], [12779, 0.203], [12780, 0.851], + [12781, 0.917], [12782, 0.715], [12848, 0.006], [12884, 0.008], + [13120, 0.07], [13121, 0.105], [13122, 0.053], [13135, 0.036], + [13136, 0.079], [13137, 0.05], [13154, 0.002], [13299, 0.125], + [13300, 0.147], [13304, 0.101], [13305, 0.096], [13306, 0.079], + [13307, 0.013], [13318, 0.133], [13319, 0.109], [13320, 0.049], + [13321, 0.032], [13322, 0.018], [13328, 0.015], [13814, 1.0], + [13815, 1.0], [13816, 1.0], [13817, 1.0], [13818, 1.0], + [13819, 1.0], [13820, 1.0], [13821, 1.0], [13822, 1.0], + [13823, 1.0], [13824, 1.0], [13825, 1.0], [13826, 1.0], + [13827, 1.0], [13828, 1.0], [13829, 1.0], [16703, 0.004], + [16775, 0.056], [16776, 0.037], [16777, 0.033], [16782, 0.027], + [16783, 0.008], [16784, 0.42], [16785, 0.456], [16790, 0.33], + [16791, 0.323], [16792, 0.43], [16796, 0.087], [16797, 0.44], + [16800, 0.016], [16802, 0.052], [16803, 0.005], [16807, 0.068], + [16808, 0.057], [16809, 0.028], [16814, 0.05], [16815, 0.042], + [16822, 0.001], [17978, 0.002], [17986, 0.4], [17989, 0.061], + [18001, 0.063] + ], + "toe1-1.R": [ + [4899, 0.807], [4900, 0.868], [4901, 0.47], [4902, 0.272], + [4903, 0.09], [4906, 0.101], [4909, 0.086], [4910, 0.072], + [4911, 0.122], [4912, 0.049], [4913, 0.115], [4914, 0.139], + [4915, 0.174], [4916, 0.327], [4917, 0.069], [4918, 0.229], + [4919, 0.756], [4920, 0.175], [4921, 0.711], [4922, 0.444], + [4923, 0.503], [4924, 0.128], [4925, 0.56], [4926, 0.361], + [4927, 0.064], [4928, 0.119], [4929, 0.014], [4930, 0.122], + [4931, 0.4], [4934, 0.026], [4935, 0.101], [4936, 0.262], + [4937, 0.275], [4939, 0.058], [4940, 0.123], [4943, 0.048], + [4944, 0.04], [4945, 0.257], [4949, 0.07], [4950, 0.059], + [4953, 0.827], [4954, 0.564], [4955, 0.031], [4956, 0.057], + [4957, 0.011], [4958, 0.034], [4959, 0.133], [4960, 0.216], + [4961, 0.147], [4962, 0.086], [4963, 0.713], [4964, 0.504], + [4965, 0.367], [4966, 0.381], [4967, 0.1], [4968, 0.105], + [4969, 0.017], [4971, 0.41], [4974, 0.282], [4975, 0.04], + [4976, 0.1], [4977, 0.281], [4978, 0.3], [4981, 0.018], + [4982, 0.095], [4983, 0.168], [4985, 0.083], [4986, 0.023], + [5771, 0.904], [5772, 1.0], [5773, 0.818], [5774, 0.495], + [5775, 0.826], [5776, 0.888], [5777, 0.924], [5778, 0.768], + [5779, 0.679], [5780, 0.619], [5781, 0.113], [5782, 0.256], + [5783, 0.579], [5784, 0.658], [5785, 0.265], [5786, 0.527], + [5787, 0.339], [5788, 0.422], [5789, 0.481], [5790, 0.639], + [5791, 0.1], [5792, 0.091], [5793, 0.075], [5794, 0.4], + [5795, 0.126], [5796, 0.242], [5797, 0.099], [5798, 0.199], + [5799, 0.103], [5800, 0.34], [5803, 0.013], [5813, 0.032], + [5817, 0.008], [5822, 0.024], [5823, 0.054], [5827, 0.039], + [5829, 0.008], [5831, 0.012], [5832, 0.097], [5833, 0.118], + [5835, 0.066], [5836, 0.008], [5837, 0.122], [5839, 0.111], + [5852, 0.029], [5853, 0.162], [5854, 0.169], [5857, 0.128], + [5858, 0.042], [5859, 0.208], [5861, 0.173], [5864, 0.065], + [5865, 0.304], [5868, 0.199], [5869, 0.032], [5870, 0.362], + [5872, 0.319], [5998, 0.004], [6162, 0.052], [6163, 0.065], + [6164, 0.117], [6165, 0.187], [6166, 0.269], [6167, 0.973], + [6168, 0.424], [6169, 0.249], [6170, 0.54], [6171, 0.223], + [6172, 0.099], [6174, 0.068], [6175, 0.088], [6176, 0.069], + [6178, 0.055], [6181, 0.112], [6182, 0.203], [6183, 0.851], + [6184, 0.917], [6185, 0.715], [6251, 0.006], [6287, 0.008], + [6524, 0.07], [6525, 0.105], [6526, 0.053], [6539, 0.036], + [6540, 0.079], [6541, 0.05], [6558, 0.002], [6703, 0.125], + [6704, 0.147], [6708, 0.101], [6709, 0.096], [6710, 0.079], + [6711, 0.013], [6722, 0.133], [6723, 0.109], [6724, 0.049], + [6725, 0.032], [6726, 0.018], [6732, 0.015], [14254, 1.0], + [14255, 1.0], [14256, 1.0], [14257, 1.0], [14258, 1.0], + [14259, 1.0], [14260, 1.0], [14261, 1.0], [14262, 1.0], + [14263, 1.0], [14264, 1.0], [14265, 1.0], [14266, 1.0], + [14267, 1.0], [14268, 1.0], [14269, 1.0], [15399, 0.004], + [15471, 0.056], [15472, 0.037], [15473, 0.033], [15478, 0.027], + [15479, 0.008], [15480, 0.42], [15481, 0.456], [15486, 0.33], + [15487, 0.323], [15488, 0.43], [15492, 0.087], [15493, 0.44], + [15496, 0.016], [15498, 0.052], [15499, 0.005], [15503, 0.068], + [15504, 0.057], [15505, 0.028], [15510, 0.05], [15511, 0.042], + [15518, 0.001], [16608, 0.002], [16616, 0.4], [16619, 0.061], + [16631, 0.063] + ], + "toe1-2.L": [ + [11517, 0.193], [11518, 0.132], [11519, 0.53], [11520, 0.707], + [11521, 0.91], [11522, 1.0], [11523, 1.0], [11524, 0.899], + [11525, 1.0], [11526, 1.0], [11527, 0.914], [11528, 0.928], + [11529, 0.878], [11530, 0.951], [11531, 0.885], [11532, 0.861], + [11533, 0.826], [11534, 0.673], [11535, 0.931], [11536, 0.767], + [11537, 0.244], [11538, 0.815], [11539, 0.264], [11540, 0.557], + [11541, 0.497], [11542, 0.869], [11543, 0.431], [11544, 0.64], + [11545, 0.936], [11546, 0.881], [11547, 0.986], [11548, 0.878], + [11549, 0.6], [11550, 1.0], [11551, 1.0], [11552, 0.974], + [11553, 0.899], [11554, 0.738], [11555, 0.725], [11556, 1.0], + [11557, 0.942], [11558, 0.877], [11559, 0.991], [11560, 1.0], + [11561, 0.95], [11562, 0.953], [11563, 0.743], [11564, 1.0], + [11565, 1.0], [11566, 1.0], [11567, 0.93], [11568, 0.941], + [11569, 1.0], [11570, 1.0], [11571, 0.173], [11572, 0.393], + [11573, 0.969], [11574, 0.943], [11575, 0.989], [11576, 0.966], + [11577, 0.867], [11578, 0.784], [11579, 0.853], [11580, 0.914], + [11581, 0.287], [11582, 0.468], [11583, 0.633], [11584, 0.608], + [11585, 0.9], [11586, 0.895], [11587, 0.983], [11588, 1.0], + [11589, 0.59], [11590, 1.0], [11591, 1.0], [11592, 0.714], + [11593, 0.96], [11594, 0.9], [11595, 0.719], [11596, 0.7], + [11597, 0.992], [11598, 1.0], [11599, 0.982], [11600, 0.905], + [11601, 0.832], [11602, 1.0], [11603, 0.914], [11604, 0.977], + [11605, 1.0], [11606, 1.0], [12368, 0.091], [12370, 0.112], + [12371, 0.416], [12373, 0.025], [12375, 0.1], [12376, 0.031], + [12377, 0.296], [12381, 0.083], [12382, 0.009], [12383, 0.052], + [12387, 0.003], [12391, 0.014], [12393, 0.014], [12397, 0.063], + [12756, 1.0], [12757, 1.0], [12758, 1.0], [12759, 0.948], + [12760, 0.935], [12761, 0.882], [12762, 0.813], [12763, 0.731], + [12764, 0.007], [12765, 0.012], [12767, 0.46], [12768, 0.777], + [12769, 0.901], [12770, 1.0], [12771, 0.932], [12772, 0.912], + [12773, 0.931], [12774, 1.0], [12775, 0.945], [12776, 1.0], + [12777, 1.0], [12780, 0.149], [12781, 0.083], [12782, 0.285], + [13662, 1.0], [13663, 1.0], [13664, 1.0], [13665, 1.0], + [13666, 1.0], [13667, 1.0], [13668, 1.0], [13669, 1.0], + [13806, 1.0], [13807, 1.0], [13808, 1.0], [13809, 1.0], + [13810, 1.0], [13811, 1.0], [13812, 1.0], [13813, 1.0], + [16696, 0.5], [16697, 0.5], [16702, 0.5], [16703, 0.496], + [16704, 0.5], [16765, 0.5], [16770, 0.5], [16775, 0.444], + [16776, 0.463], [16777, 0.467], [16782, 0.473], [16783, 0.492], + [16784, 0.08], [16785, 0.037], [16790, 0.004], [16791, 0.016], + [16792, 0.038], [16797, 0.06], [16854, 0.5], [17978, 0.498], + [17986, 0.051], [17989, 0.439], [17995, 0.5] + ], + "toe1-2.R": [ + [4899, 0.193], [4900, 0.132], [4901, 0.53], [4902, 0.707], + [4903, 0.91], [4904, 1.0], [4905, 1.0], [4906, 0.899], + [4907, 1.0], [4908, 1.0], [4909, 0.914], [4910, 0.928], + [4911, 0.878], [4912, 0.951], [4913, 0.885], [4914, 0.861], + [4915, 0.826], [4916, 0.673], [4917, 0.931], [4918, 0.767], + [4919, 0.244], [4920, 0.815], [4921, 0.264], [4922, 0.557], + [4923, 0.497], [4924, 0.869], [4925, 0.431], [4926, 0.64], + [4927, 0.936], [4928, 0.881], [4929, 0.986], [4930, 0.878], + [4931, 0.6], [4932, 1.0], [4933, 1.0], [4934, 0.974], + [4935, 0.899], [4936, 0.738], [4937, 0.725], [4938, 1.0], + [4939, 0.942], [4940, 0.877], [4941, 0.991], [4942, 1.0], + [4943, 0.95], [4944, 0.953], [4945, 0.743], [4946, 1.0], + [4947, 1.0], [4948, 1.0], [4949, 0.93], [4950, 0.941], + [4951, 1.0], [4952, 1.0], [4953, 0.173], [4954, 0.393], + [4955, 0.969], [4956, 0.943], [4957, 0.989], [4958, 0.966], + [4959, 0.867], [4960, 0.784], [4961, 0.853], [4962, 0.914], + [4963, 0.287], [4964, 0.468], [4965, 0.633], [4966, 0.608], + [4967, 0.9], [4968, 0.895], [4969, 0.983], [4970, 1.0], + [4971, 0.59], [4972, 1.0], [4973, 1.0], [4974, 0.714], + [4975, 0.96], [4976, 0.9], [4977, 0.719], [4978, 0.7], + [4979, 0.992], [4980, 1.0], [4981, 0.982], [4982, 0.905], + [4983, 0.832], [4984, 1.0], [4985, 0.914], [4986, 0.977], + [4987, 1.0], [4988, 1.0], [5771, 0.091], [5773, 0.112], + [5774, 0.416], [5776, 0.025], [5778, 0.1], [5779, 0.031], + [5780, 0.296], [5784, 0.083], [5785, 0.009], [5786, 0.052], + [5790, 0.003], [5794, 0.014], [5796, 0.014], [5800, 0.063], + [6159, 1.0], [6160, 1.0], [6161, 1.0], [6162, 0.948], + [6163, 0.935], [6164, 0.882], [6165, 0.813], [6166, 0.731], + [6167, 0.007], [6168, 0.012], [6170, 0.46], [6171, 0.777], + [6172, 0.901], [6173, 1.0], [6174, 0.932], [6175, 0.912], + [6176, 0.931], [6177, 1.0], [6178, 0.945], [6179, 1.0], + [6180, 1.0], [6183, 0.149], [6184, 0.083], [6185, 0.285], + [14102, 1.0], [14103, 1.0], [14104, 1.0], [14105, 1.0], + [14106, 1.0], [14107, 1.0], [14108, 1.0], [14109, 1.0], + [14246, 1.0], [14247, 1.0], [14248, 1.0], [14249, 1.0], + [14250, 1.0], [14251, 1.0], [14252, 1.0], [14253, 1.0], + [15392, 0.5], [15393, 0.5], [15398, 0.5], [15399, 0.496], + [15400, 0.5], [15461, 0.5], [15466, 0.5], [15471, 0.444], + [15472, 0.463], [15473, 0.467], [15478, 0.473], [15479, 0.492], + [15480, 0.08], [15481, 0.037], [15486, 0.004], [15487, 0.016], + [15488, 0.038], [15493, 0.06], [15550, 0.5], [16608, 0.498], + [16616, 0.051], [16619, 0.439], [16625, 0.5] + ], + "toe2-1.L": [ + [11520, 0.021], [11538, 0.01], [11539, 0.024], [11542, 0.003], + [11543, 0.009], [11572, 0.043], [11582, 0.028], [11584, 0.012], + [11592, 0.004], [11607, 0.011], [11610, 0.013], [11614, 0.005], + [11615, 0.016], [11616, 0.032], [11617, 0.039], [11618, 0.029], + [11619, 0.011], [11620, 0.024], [11622, 0.009], [11625, 0.021], + [11629, 0.035], [11637, 0.023], [11638, 0.061], [11639, 0.054], + [11640, 0.041], [11641, 0.031], [11642, 0.03], [11647, 0.03], + [11648, 0.039], [11649, 0.019], [11650, 0.014], [11653, 0.038], + [11654, 0.053], [11657, 0.034], [11662, 0.03], [11665, 0.027], + [11666, 0.032], [12371, 0.087], [12373, 0.049], [12377, 0.057], + [12381, 0.185], [12382, 0.047], [12383, 0.083], [12385, 0.076], + [12387, 0.132], [12388, 0.037], [12391, 0.291], [12392, 0.027], + [12393, 0.142], [12395, 0.144], [12397, 0.183], [12398, 0.348], + [12399, 0.317], [12400, 0.612], [12401, 0.539], [12402, 0.617], + [12403, 0.698], [12404, 0.411], [12405, 0.366], [12406, 0.67], + [12407, 0.59], [12408, 0.362], [12409, 0.542], [12410, 0.697], + [12411, 0.676], [12412, 0.763], [12413, 0.881], [12414, 0.702], + [12415, 0.425], [12416, 0.854], [12417, 0.791], [12418, 0.774], + [12419, 0.8], [12420, 0.789], [12421, 0.871], [12422, 0.914], + [12423, 0.937], [12424, 0.78], [12425, 0.801], [12426, 0.91], + [12427, 0.928], [12428, 0.82], [12429, 0.802], [12430, 0.82], + [12431, 0.919], [12432, 0.934], [12433, 0.963], [12434, 0.804], + [12435, 0.83], [12436, 0.889], [12437, 0.941], [12438, 0.485], + [12439, 0.391], [12440, 0.342], [12441, 0.122], [12443, 0.47], + [12444, 0.089], [12445, 0.127], [12446, 0.403], [12447, 0.139], + [12448, 0.412], [12449, 0.76], [12450, 0.718], [12451, 0.794], + [12452, 0.884], [12454, 0.858], [12455, 0.875], [12456, 0.733], + [12457, 0.529], [12458, 0.826], [12459, 0.897], [12460, 0.153], + [12461, 0.087], [12462, 0.505], [12463, 0.633], [12465, 0.279], + [12466, 0.244], [12467, 0.475], [12468, 0.511], [12469, 0.344], + [12470, 0.682], [12533, 0.027], [12535, 0.012], [12539, 0.029], + [12543, 0.056], [12545, 0.023], [12549, 0.049], [12553, 0.044], + [12555, 0.03], [12559, 0.052], [12563, 0.046], [12565, 0.056], + [12569, 0.071], [12580, 0.007], [12583, 0.213], [12585, 0.101], + [12586, 0.041], [12589, 0.093], [12592, 0.089], [12593, 0.36], + [12595, 0.113], [12596, 0.041], [12597, 0.345], [12599, 0.253], + [12725, 0.007], [12764, 0.015], [12765, 0.054], [12766, 0.055], + [13070, 0.051], [13071, 0.032], [13072, 0.014], [13080, 0.031], + [13081, 0.485], [13082, 0.709], [13083, 0.738], [13086, 0.017], + [13095, 0.014], [13096, 0.034], [13108, 0.851], [13109, 0.498], + [13110, 0.309], [13111, 0.071], [13112, 0.013], [13113, 0.006], + [13120, 0.162], [13121, 0.668], [13122, 0.828], [13134, 0.733], + [13135, 0.964], [13136, 0.874], [13137, 0.102], [13143, 0.01], + [13154, 0.018], [13155, 0.075], [13156, 0.028], [13320, 0.004], + [13321, 0.018], [13322, 0.02], [13327, 0.007], [13328, 0.039], + [13742, 1.0], [13743, 1.0], [13744, 1.0], [13745, 1.0], + [13746, 1.0], [13747, 1.0], [13748, 1.0], [13749, 1.0], + [13798, 1.0], [13799, 1.0], [13800, 1.0], [13801, 1.0], + [13802, 1.0], [13803, 1.0], [13804, 1.0], [13805, 1.0], + [16764, 0.001], [16768, 0.017], [16771, 0.013], [16781, 0.023], + [16790, 0.016], [16795, 0.02], [16796, 0.166], [16799, 0.404], + [16800, 0.05], [16803, 0.003], [16813, 0.022], [16815, 0.011] + ], + "toe2-1.R": [ + [4902, 0.021], [4920, 0.01], [4921, 0.024], [4924, 0.003], + [4925, 0.009], [4954, 0.043], [4964, 0.028], [4966, 0.012], + [4974, 0.004], [4989, 0.011], [4992, 0.013], [4996, 0.005], + [4997, 0.016], [4998, 0.032], [4999, 0.039], [5000, 0.029], + [5001, 0.011], [5002, 0.024], [5004, 0.009], [5007, 0.021], + [5011, 0.035], [5019, 0.023], [5020, 0.061], [5021, 0.054], + [5022, 0.041], [5023, 0.031], [5024, 0.03], [5029, 0.03], + [5030, 0.039], [5031, 0.019], [5032, 0.014], [5035, 0.038], + [5036, 0.053], [5039, 0.034], [5044, 0.03], [5047, 0.027], + [5048, 0.032], [5774, 0.087], [5776, 0.049], [5780, 0.057], + [5784, 0.185], [5785, 0.047], [5786, 0.083], [5788, 0.076], + [5790, 0.132], [5791, 0.037], [5794, 0.291], [5795, 0.027], + [5796, 0.142], [5798, 0.144], [5800, 0.183], [5801, 0.348], + [5802, 0.317], [5803, 0.612], [5804, 0.539], [5805, 0.617], + [5806, 0.698], [5807, 0.411], [5808, 0.366], [5809, 0.67], + [5810, 0.59], [5811, 0.362], [5812, 0.542], [5813, 0.697], + [5814, 0.676], [5815, 0.763], [5816, 0.881], [5817, 0.702], + [5818, 0.425], [5819, 0.854], [5820, 0.791], [5821, 0.774], + [5822, 0.8], [5823, 0.789], [5824, 0.871], [5825, 0.914], + [5826, 0.937], [5827, 0.78], [5828, 0.801], [5829, 0.91], + [5830, 0.928], [5831, 0.82], [5832, 0.802], [5833, 0.82], + [5834, 0.919], [5835, 0.934], [5836, 0.963], [5837, 0.804], + [5838, 0.83], [5839, 0.889], [5840, 0.941], [5841, 0.485], + [5842, 0.391], [5843, 0.342], [5844, 0.122], [5846, 0.47], + [5847, 0.089], [5848, 0.127], [5849, 0.403], [5850, 0.139], + [5851, 0.412], [5852, 0.76], [5853, 0.718], [5854, 0.794], + [5855, 0.884], [5857, 0.858], [5858, 0.875], [5859, 0.733], + [5860, 0.529], [5861, 0.826], [5862, 0.897], [5863, 0.153], + [5864, 0.087], [5865, 0.505], [5866, 0.633], [5868, 0.279], + [5869, 0.244], [5870, 0.475], [5871, 0.511], [5872, 0.344], + [5873, 0.682], [5936, 0.027], [5938, 0.012], [5942, 0.029], + [5946, 0.056], [5948, 0.023], [5952, 0.049], [5956, 0.044], + [5958, 0.03], [5962, 0.052], [5966, 0.046], [5968, 0.056], + [5972, 0.071], [5983, 0.007], [5986, 0.213], [5988, 0.101], + [5989, 0.041], [5992, 0.093], [5995, 0.089], [5996, 0.36], + [5998, 0.113], [5999, 0.041], [6000, 0.345], [6002, 0.253], + [6128, 0.007], [6167, 0.015], [6168, 0.054], [6169, 0.055], + [6474, 0.051], [6475, 0.032], [6476, 0.014], [6484, 0.031], + [6485, 0.485], [6486, 0.709], [6487, 0.738], [6490, 0.017], + [6499, 0.014], [6500, 0.034], [6512, 0.851], [6513, 0.498], + [6514, 0.309], [6515, 0.071], [6516, 0.013], [6517, 0.006], + [6524, 0.162], [6525, 0.668], [6526, 0.828], [6538, 0.733], + [6539, 0.964], [6540, 0.874], [6541, 0.102], [6547, 0.01], + [6558, 0.018], [6559, 0.075], [6560, 0.028], [6724, 0.004], + [6725, 0.018], [6726, 0.02], [6731, 0.007], [6732, 0.039], + [14182, 1.0], [14183, 1.0], [14184, 1.0], [14185, 1.0], + [14186, 1.0], [14187, 1.0], [14188, 1.0], [14189, 1.0], + [14238, 1.0], [14239, 1.0], [14240, 1.0], [14241, 1.0], + [14242, 1.0], [14243, 1.0], [14244, 1.0], [14245, 1.0], + [15460, 0.001], [15464, 0.017], [15467, 0.013], [15477, 0.023], + [15486, 0.016], [15491, 0.02], [15492, 0.166], [15495, 0.404], + [15496, 0.05], [15499, 0.003], [15509, 0.022], [15511, 0.011] + ], + "toe2-2.L": [ + [11607, 0.05], [11608, 0.031], [11609, 0.022], [11610, 0.115], + [11611, 0.015], [11613, 0.099], [11614, 0.043], [11615, 0.051], + [11616, 0.232], [11617, 0.139], [11618, 0.082], [11619, 0.098], + [11620, 0.089], [11621, 0.119], [11622, 0.025], [11625, 0.138], + [11626, 0.05], [11627, 0.045], [11629, 0.261], [11631, 0.009], + [11633, 0.08], [11634, 0.049], [11637, 0.187], [11638, 0.172], + [11639, 0.174], [11640, 0.113], [11641, 0.252], [11642, 0.253], + [11643, 0.045], [11644, 0.083], [11645, 0.037], [11646, 0.067], + [11647, 0.083], [11648, 0.187], [11649, 0.164], [11650, 0.04], + [11651, 0.052], [11652, 0.037], [11653, 0.183], [11654, 0.138], + [11657, 0.19], [11658, 0.072], [11659, 0.02], [11660, 0.087], + [11662, 0.23], [11665, 0.179], [11666, 0.282], [12398, 0.505], + [12399, 0.545], [12400, 0.277], [12401, 0.393], [12402, 0.176], + [12403, 0.235], [12404, 0.453], [12405, 0.516], [12406, 0.241], + [12407, 0.296], [12408, 0.606], [12409, 0.419], [12410, 0.204], + [12411, 0.275], [12412, 0.097], [12413, 0.119], [12414, 0.249], + [12415, 0.552], [12416, 0.136], [12417, 0.2], [12418, 0.175], + [12419, 0.145], [12420, 0.127], [12421, 0.129], [12422, 0.071], + [12423, 0.063], [12424, 0.145], [12425, 0.157], [12426, 0.082], + [12427, 0.072], [12428, 0.072], [12429, 0.07], [12430, 0.062], + [12431, 0.014], [12434, 0.075], [12435, 0.067], [12438, 0.243], + [12439, 0.323], [12440, 0.405], [12441, 0.328], [12443, 0.217], + [12444, 0.238], [12445, 0.273], [12446, 0.337], [12447, 0.322], + [12448, 0.306], [12449, 0.023], [12450, 0.029], [12451, 0.038], + [12456, 0.037], [12457, 0.024], [13070, 0.152], [13071, 0.098], + [13072, 0.043], [13080, 0.272], [13081, 0.235], [13082, 0.22], + [13083, 0.094], [13085, 0.039], [13086, 0.122], [13108, 0.123], + [13109, 0.464], [13110, 0.555], [13111, 0.193], [13112, 0.073], + [13113, 0.08], [13114, 0.065], [13115, 0.032], [13121, 0.019], + [13122, 0.055], [13134, 0.052], [13734, 1.0], [13735, 1.0], + [13736, 1.0], [13737, 1.0], [13738, 1.0], [13739, 1.0], + [13740, 1.0], [13741, 1.0], [16698, 0.019], [16764, 0.026], + [16768, 0.05], [16771, 0.107], [16781, 0.08], [16799, 0.083], + [17976, 0.003] + ], + "toe2-2.R": [ + [4989, 0.05], [4990, 0.031], [4991, 0.022], [4992, 0.115], + [4993, 0.015], [4995, 0.099], [4996, 0.043], [4997, 0.051], + [4998, 0.232], [4999, 0.139], [5000, 0.082], [5001, 0.098], + [5002, 0.089], [5003, 0.119], [5004, 0.025], [5007, 0.138], + [5008, 0.05], [5009, 0.045], [5011, 0.261], [5013, 0.009], + [5015, 0.08], [5016, 0.049], [5019, 0.187], [5020, 0.172], + [5021, 0.174], [5022, 0.113], [5023, 0.252], [5024, 0.253], + [5025, 0.045], [5026, 0.083], [5027, 0.037], [5028, 0.067], + [5029, 0.083], [5030, 0.187], [5031, 0.164], [5032, 0.04], + [5033, 0.052], [5034, 0.037], [5035, 0.183], [5036, 0.138], + [5039, 0.19], [5040, 0.072], [5041, 0.02], [5042, 0.087], + [5044, 0.23], [5047, 0.179], [5048, 0.282], [5801, 0.505], + [5802, 0.545], [5803, 0.277], [5804, 0.393], [5805, 0.176], + [5806, 0.235], [5807, 0.453], [5808, 0.516], [5809, 0.241], + [5810, 0.296], [5811, 0.606], [5812, 0.419], [5813, 0.204], + [5814, 0.275], [5815, 0.097], [5816, 0.119], [5817, 0.249], + [5818, 0.552], [5819, 0.136], [5820, 0.2], [5821, 0.175], + [5822, 0.145], [5823, 0.127], [5824, 0.129], [5825, 0.071], + [5826, 0.063], [5827, 0.145], [5828, 0.157], [5829, 0.082], + [5830, 0.072], [5831, 0.072], [5832, 0.07], [5833, 0.062], + [5834, 0.014], [5837, 0.075], [5838, 0.067], [5841, 0.243], + [5842, 0.323], [5843, 0.405], [5844, 0.328], [5846, 0.217], + [5847, 0.238], [5848, 0.273], [5849, 0.337], [5850, 0.322], + [5851, 0.306], [5852, 0.023], [5853, 0.029], [5854, 0.038], + [5859, 0.037], [5860, 0.024], [6474, 0.152], [6475, 0.098], + [6476, 0.043], [6484, 0.272], [6485, 0.235], [6486, 0.22], + [6487, 0.094], [6489, 0.039], [6490, 0.122], [6512, 0.123], + [6513, 0.464], [6514, 0.555], [6515, 0.193], [6516, 0.073], + [6517, 0.08], [6518, 0.065], [6519, 0.032], [6525, 0.019], + [6526, 0.055], [6538, 0.052], [14174, 1.0], [14175, 1.0], + [14176, 1.0], [14177, 1.0], [14178, 1.0], [14179, 1.0], + [14180, 1.0], [14181, 1.0], [15394, 0.019], [15460, 0.026], + [15464, 0.05], [15467, 0.107], [15477, 0.08], [15495, 0.083], + [16606, 0.003] + ], + "toe2-3.L": [ + [6535, 0.002], [11536, 0.004], [11607, 0.938], [11608, 0.97], + [11609, 0.979], [11610, 0.872], [11611, 0.985], [11612, 0.999], + [11613, 0.901], [11614, 0.951], [11615, 0.933], [11616, 0.735], + [11617, 0.821], [11618, 0.89], [11619, 0.891], [11620, 0.887], + [11621, 0.881], [11622, 0.966], [11623, 0.998], [11624, 0.999], + [11625, 0.842], [11626, 0.95], [11627, 0.955], [11628, 0.998], + [11629, 0.704], [11630, 0.998], [11631, 0.991], [11632, 0.999], + [11633, 0.92], [11634, 0.951], [11635, 1.0], [11636, 0.999], + [11637, 0.79], [11638, 0.767], [11639, 0.773], [11640, 0.845], + [11641, 0.717], [11642, 0.718], [11643, 0.955], [11644, 0.918], + [11645, 0.963], [11646, 0.933], [11647, 0.887], [11648, 0.775], + [11649, 0.817], [11650, 0.946], [11651, 0.948], [11652, 0.963], + [11653, 0.779], [11654, 0.809], [11655, 0.998], [11656, 0.999], + [11657, 0.776], [11658, 0.928], [11659, 0.98], [11660, 0.913], + [11661, 0.998], [11662, 0.74], [11663, 1.0], [11664, 0.999], + [11665, 0.794], [11666, 0.686], [12398, 0.147], [12399, 0.137], + [12400, 0.098], [12401, 0.068], [12402, 0.207], [12403, 0.067], + [12404, 0.136], [12405, 0.119], [12406, 0.088], [12407, 0.114], + [12408, 0.032], [12409, 0.038], [12410, 0.068], [12411, 0.049], + [12412, 0.14], [12414, 0.041], [12415, 0.023], [12416, 0.01], + [12417, 0.009], [12418, 0.036], [12419, 0.032], [12420, 0.03], + [12422, 0.015], [12424, 0.035], [12425, 0.022], [12438, 0.271], + [12439, 0.286], [12440, 0.254], [12441, 0.55], [12443, 0.313], + [12444, 0.673], [12445, 0.599], [12446, 0.26], [12447, 0.539], + [12448, 0.282], [13070, 0.797], [13071, 0.871], [13072, 0.944], + [13080, 0.697], [13081, 0.28], [13082, 0.072], [13083, 0.167], + [13084, 0.998], [13085, 0.961], [13086, 0.862], [13108, 0.025], + [13109, 0.038], [13110, 0.136], [13111, 0.736], [13112, 0.914], + [13113, 0.914], [13114, 0.935], [13115, 0.968], [13130, 0.999], + [13131, 0.998], [13132, 1.0], [13133, 1.0], [13134, 0.215], + [13726, 0.998], [13727, 0.997], [13728, 0.998], [13729, 0.998], + [13730, 0.998], [13731, 0.999], [13732, 0.999], [13733, 0.998], + [16698, 0.481], [16764, 0.473], [16767, 0.5], [16768, 0.433], + [16771, 0.38], [16781, 0.397], [16799, 0.013], [16856, 0.5], + [16857, 0.499], [16858, 0.499], [16859, 0.5], [17976, 0.497] + ], + "toe2-3.R": [ + [4918, 0.004], [4989, 0.938], [4990, 0.97], [4991, 0.979], + [4992, 0.872], [4993, 0.985], [4994, 0.999], [4995, 0.901], + [4996, 0.951], [4997, 0.933], [4998, 0.735], [4999, 0.821], + [5000, 0.89], [5001, 0.891], [5002, 0.887], [5003, 0.881], + [5004, 0.966], [5005, 0.998], [5006, 0.999], [5007, 0.842], + [5008, 0.95], [5009, 0.955], [5010, 0.998], [5011, 0.704], + [5012, 0.998], [5013, 0.991], [5014, 0.999], [5015, 0.92], + [5016, 0.951], [5017, 1.0], [5018, 0.999], [5019, 0.79], + [5020, 0.767], [5021, 0.773], [5022, 0.845], [5023, 0.717], + [5024, 0.718], [5025, 0.955], [5026, 0.918], [5027, 0.963], + [5028, 0.933], [5029, 0.887], [5030, 0.775], [5031, 0.817], + [5032, 0.946], [5033, 0.948], [5034, 0.963], [5035, 0.779], + [5036, 0.809], [5037, 0.998], [5038, 0.999], [5039, 0.776], + [5040, 0.928], [5041, 0.98], [5042, 0.913], [5043, 0.998], + [5044, 0.74], [5045, 1.0], [5046, 0.999], [5047, 0.794], + [5048, 0.686], [5801, 0.147], [5802, 0.137], [5803, 0.098], + [5804, 0.068], [5805, 0.207], [5806, 0.067], [5807, 0.136], + [5808, 0.119], [5809, 0.088], [5810, 0.114], [5811, 0.032], + [5812, 0.038], [5813, 0.068], [5814, 0.049], [5815, 0.14], + [5817, 0.041], [5818, 0.023], [5819, 0.01], [5820, 0.009], + [5821, 0.036], [5822, 0.032], [5823, 0.03], [5825, 0.015], + [5827, 0.035], [5828, 0.022], [5841, 0.271], [5842, 0.286], + [5843, 0.254], [5844, 0.55], [5846, 0.313], [5847, 0.673], + [5848, 0.599], [5849, 0.26], [5850, 0.539], [5851, 0.282], + [6474, 0.797], [6475, 0.871], [6476, 0.944], [6484, 0.697], + [6485, 0.28], [6486, 0.072], [6487, 0.167], [6488, 0.998], + [6489, 0.961], [6490, 0.862], [6512, 0.025], [6513, 0.038], + [6514, 0.136], [6515, 0.736], [6516, 0.914], [6517, 0.914], + [6518, 0.935], [6519, 0.968], [6534, 0.999], [6535, 0.998], + [6536, 1.0], [6537, 1.0], [6538, 0.215], [13131, 0.002], + [14166, 0.998], [14167, 0.997], [14168, 0.998], [14169, 0.998], + [14170, 0.998], [14171, 0.999], [14172, 0.999], [14173, 0.998], + [15394, 0.481], [15460, 0.473], [15463, 0.5], [15464, 0.433], + [15467, 0.38], [15477, 0.397], [15495, 0.013], [15552, 0.5], + [15553, 0.499], [15554, 0.499], [15555, 0.5], [16606, 0.497] + ], + "toe3-1.L": [ + [12393, 0.009], [12418, 0.015], [12425, 0.021], [12428, 0.096], + [12429, 0.031], [12431, 0.067], [12433, 0.029], [12435, 0.103], + [12437, 0.059], [12449, 0.178], [12450, 0.065], [12452, 0.116], + [12454, 0.013], [12455, 0.083], [12457, 0.11], [12459, 0.103], + [12460, 0.107], [12463, 0.261], [12465, 0.044], [12466, 0.106], + [12468, 0.383], [12470, 0.264], [12471, 0.013], [12474, 0.019], + [12477, 0.011], [12478, 0.009], [12479, 0.005], [12480, 0.011], + [12481, 0.023], [12482, 0.012], [12484, 0.014], [12485, 0.005], + [12486, 0.021], [12489, 0.007], [12493, 0.014], [12497, 0.01], + [12498, 0.006], [12501, 0.016], [12502, 0.031], [12503, 0.029], + [12504, 0.017], [12505, 0.045], [12506, 0.024], [12507, 0.011], + [12508, 0.015], [12509, 0.006], [12510, 0.008], [12511, 0.011], + [12512, 0.019], [12513, 0.02], [12514, 0.015], [12517, 0.016], + [12518, 0.027], [12521, 0.004], [12526, 0.01], [12529, 0.04], + [12530, 0.022], [12531, 0.254], [12532, 0.255], [12533, 0.319], + [12534, 0.373], [12535, 0.408], [12536, 0.365], [12537, 0.269], + [12538, 0.288], [12539, 0.39], [12540, 0.345], [12541, 0.356], + [12542, 0.288], [12543, 0.437], [12544, 0.451], [12545, 0.513], + [12546, 0.495], [12547, 0.226], [12548, 0.355], [12549, 0.484], + [12550, 0.489], [12551, 0.888], [12552, 0.861], [12553, 0.74], + [12554, 0.88], [12555, 0.58], [12556, 0.708], [12557, 0.911], + [12558, 0.864], [12559, 0.594], [12560, 0.748], [12561, 0.927], + [12562, 0.913], [12563, 0.916], [12564, 0.949], [12565, 0.883], + [12566, 0.933], [12567, 0.911], [12568, 0.92], [12569, 0.79], + [12570, 0.938], [12571, 0.244], [12572, 0.204], [12573, 0.198], + [12574, 0.158], [12575, 0.295], [12576, 0.172], [12577, 0.16], + [12578, 0.13], [12579, 0.17], [12580, 0.257], [12581, 0.933], + [12582, 0.909], [12583, 0.717], [12584, 0.967], [12585, 0.866], + [12586, 0.959], [12587, 0.895], [12588, 0.728], [12589, 0.835], + [12590, 0.99], [12591, 0.067], [12592, 0.155], [12593, 0.561], + [12594, 0.709], [12595, 0.259], [12596, 0.159], [12597, 0.59], + [12598, 0.217], [12599, 0.654], [12600, 0.462], [12659, 0.002], + [12662, 0.049], [12663, 0.157], [12665, 0.078], [12666, 0.02], + [12667, 0.072], [12669, 0.128], [12671, 0.019], [12672, 0.089], + [12673, 0.213], [12675, 0.09], [12676, 0.023], [12677, 0.136], + [12679, 0.156], [12681, 0.038], [12682, 0.115], [12683, 0.271], + [12685, 0.099], [12686, 0.032], [12687, 0.161], [12689, 0.167], + [12692, 0.128], [12693, 0.403], [12695, 0.111], [12696, 0.018], + [12697, 0.217], [12699, 0.199], [12705, 0.02], [12708, 0.028], + [12710, 0.04], [12712, 0.164], [12713, 0.471], [12715, 0.122], + [12716, 0.025], [12717, 0.268], [12719, 0.206], [12722, 0.037], + [12723, 0.531], [12725, 0.109], [12726, 0.045], [12727, 0.112], + [12729, 0.33], [12730, 0.009], [12755, 0.036], [13074, 0.004], + [13076, 0.045], [13088, 0.014], [13089, 0.012], [13090, 0.016], + [13091, 0.058], [13092, 0.075], [13095, 0.623], [13096, 0.155], + [13097, 0.575], [13098, 0.931], [13099, 0.088], [13101, 0.064], + [13102, 0.938], [13106, 0.064], [13118, 0.059], [13119, 0.011], + [13120, 0.043], [13121, 0.106], [13122, 0.059], [13123, 0.027], + [13127, 0.411], [13128, 0.248], [13129, 0.17], [13136, 0.047], + [13137, 0.04], [13141, 0.312], [13142, 0.404], [13143, 0.497], + [13151, 0.066], [13152, 0.065], [13153, 0.072], [13154, 0.038], + [13155, 0.923], [13156, 0.906], [13159, 0.005], [13160, 0.007], + [13322, 0.003], [13326, 0.015], [13327, 0.024], [13328, 0.025], + [13750, 1.0], [13751, 1.0], [13752, 1.0], [13753, 1.0], + [13754, 1.0], [13755, 1.0], [13756, 1.0], [13757, 1.0], + [13790, 1.0], [13791, 1.0], [13792, 1.0], [13793, 1.0], + [13794, 1.0], [13795, 1.0], [13796, 1.0], [13797, 1.0], + [16706, 0.004], [16772, 0.012], [16780, 0.007], [16786, 0.335], + [16787, 0.026], [16788, 0.015], [16794, 0.023], [16795, 0.191], + [16796, 0.02], [16800, 0.019], [16804, 0.004], [16812, 0.015], + [16813, 0.039] + ], + "toe3-1.R": [ + [5796, 0.009], [5821, 0.015], [5828, 0.021], [5831, 0.096], + [5832, 0.031], [5834, 0.067], [5836, 0.029], [5838, 0.103], + [5840, 0.059], [5852, 0.178], [5853, 0.065], [5855, 0.116], + [5857, 0.013], [5858, 0.083], [5860, 0.11], [5862, 0.103], + [5863, 0.107], [5866, 0.261], [5868, 0.044], [5869, 0.106], + [5871, 0.383], [5873, 0.264], [5874, 0.013], [5877, 0.019], + [5880, 0.011], [5881, 0.009], [5882, 0.005], [5883, 0.011], + [5884, 0.023], [5885, 0.012], [5887, 0.014], [5888, 0.005], + [5889, 0.021], [5892, 0.007], [5896, 0.014], [5900, 0.01], + [5901, 0.006], [5904, 0.016], [5905, 0.031], [5906, 0.029], + [5907, 0.017], [5908, 0.045], [5909, 0.024], [5910, 0.011], + [5911, 0.015], [5912, 0.006], [5913, 0.008], [5914, 0.011], + [5915, 0.019], [5916, 0.02], [5917, 0.015], [5920, 0.016], + [5921, 0.027], [5924, 0.004], [5929, 0.01], [5932, 0.04], + [5933, 0.022], [5934, 0.254], [5935, 0.255], [5936, 0.319], + [5937, 0.373], [5938, 0.408], [5939, 0.365], [5940, 0.269], + [5941, 0.288], [5942, 0.39], [5943, 0.345], [5944, 0.356], + [5945, 0.288], [5946, 0.437], [5947, 0.451], [5948, 0.513], + [5949, 0.495], [5950, 0.226], [5951, 0.355], [5952, 0.484], + [5953, 0.489], [5954, 0.888], [5955, 0.861], [5956, 0.74], + [5957, 0.88], [5958, 0.58], [5959, 0.708], [5960, 0.911], + [5961, 0.864], [5962, 0.594], [5963, 0.748], [5964, 0.927], + [5965, 0.913], [5966, 0.916], [5967, 0.949], [5968, 0.883], + [5969, 0.933], [5970, 0.911], [5971, 0.92], [5972, 0.79], + [5973, 0.938], [5974, 0.244], [5975, 0.204], [5976, 0.198], + [5977, 0.158], [5978, 0.295], [5979, 0.172], [5980, 0.16], + [5981, 0.13], [5982, 0.17], [5983, 0.257], [5984, 0.933], + [5985, 0.909], [5986, 0.717], [5987, 0.967], [5988, 0.866], + [5989, 0.959], [5990, 0.895], [5991, 0.728], [5992, 0.835], + [5993, 0.99], [5994, 0.067], [5995, 0.155], [5996, 0.561], + [5997, 0.709], [5998, 0.259], [5999, 0.159], [6000, 0.59], + [6001, 0.217], [6002, 0.654], [6003, 0.462], [6062, 0.002], + [6065, 0.049], [6066, 0.157], [6068, 0.078], [6069, 0.02], + [6070, 0.072], [6072, 0.128], [6074, 0.019], [6075, 0.089], + [6076, 0.213], [6078, 0.09], [6079, 0.023], [6080, 0.136], + [6082, 0.156], [6084, 0.038], [6085, 0.115], [6086, 0.271], + [6088, 0.099], [6089, 0.032], [6090, 0.161], [6092, 0.167], + [6095, 0.128], [6096, 0.403], [6098, 0.111], [6099, 0.018], + [6100, 0.217], [6102, 0.199], [6108, 0.02], [6111, 0.028], + [6113, 0.04], [6115, 0.164], [6116, 0.471], [6118, 0.122], + [6119, 0.025], [6120, 0.268], [6122, 0.206], [6125, 0.037], + [6126, 0.531], [6128, 0.109], [6129, 0.045], [6130, 0.112], + [6132, 0.33], [6133, 0.009], [6158, 0.036], [6478, 0.004], + [6480, 0.045], [6492, 0.014], [6493, 0.012], [6494, 0.016], + [6495, 0.058], [6496, 0.075], [6499, 0.623], [6500, 0.155], + [6501, 0.575], [6502, 0.931], [6503, 0.088], [6505, 0.064], + [6506, 0.938], [6510, 0.064], [6522, 0.059], [6523, 0.011], + [6524, 0.043], [6525, 0.106], [6526, 0.059], [6527, 0.027], + [6531, 0.411], [6532, 0.248], [6533, 0.17], [6540, 0.047], + [6541, 0.04], [6545, 0.312], [6546, 0.404], [6547, 0.497], + [6555, 0.066], [6556, 0.065], [6557, 0.072], [6558, 0.038], + [6559, 0.923], [6560, 0.906], [6563, 0.005], [6564, 0.007], + [6726, 0.003], [6730, 0.015], [6731, 0.024], [6732, 0.025], + [14190, 1.0], [14191, 1.0], [14192, 1.0], [14193, 1.0], + [14194, 1.0], [14195, 1.0], [14196, 1.0], [14197, 1.0], + [14230, 1.0], [14231, 1.0], [14232, 1.0], [14233, 1.0], + [14234, 1.0], [14235, 1.0], [14236, 1.0], [14237, 1.0], + [15402, 0.004], [15468, 0.012], [15476, 0.007], [15482, 0.335], + [15483, 0.026], [15484, 0.015], [15490, 0.023], [15491, 0.191], + [15492, 0.02], [15496, 0.019], [15500, 0.004], [15508, 0.015], + [15509, 0.039] + ], + "toe3-2.L": [ + [12471, 0.053], [12472, 0.046], [12473, 0.049], [12474, 0.067], + [12475, 0.068], [12476, 0.063], [12477, 0.071], [12478, 0.062], + [12479, 0.018], [12480, 0.041], [12481, 0.083], [12482, 0.046], + [12483, 0.069], [12484, 0.05], [12485, 0.054], [12486, 0.078], + [12488, 0.045], [12489, 0.028], [12490, 0.073], [12491, 0.061], + [12492, 0.043], [12493, 0.063], [12495, 0.069], [12496, 0.069], + [12497, 0.093], [12498, 0.067], [12499, 0.056], [12500, 0.055], + [12501, 0.054], [12502, 0.116], [12503, 0.102], [12504, 0.064], + [12505, 0.169], [12506, 0.141], [12507, 0.056], [12508, 0.071], + [12509, 0.059], [12510, 0.079], [12511, 0.044], [12512, 0.064], + [12513, 0.067], [12514, 0.059], [12515, 0.094], [12516, 0.068], + [12517, 0.052], [12518, 0.108], [12519, 0.033], [12520, 0.06], + [12521, 0.015], [12522, 0.051], [12523, 0.056], [12524, 0.057], + [12525, 0.058], [12526, 0.043], [12527, 0.064], [12528, 0.063], + [12529, 0.128], [12530, 0.116], [12531, 0.6], [12532, 0.602], + [12533, 0.528], [12534, 0.388], [12535, 0.366], [12536, 0.307], + [12537, 0.586], [12538, 0.549], [12539, 0.398], [12540, 0.315], + [12541, 0.568], [12542, 0.652], [12543, 0.406], [12544, 0.436], + [12545, 0.346], [12546, 0.31], [12547, 0.712], [12548, 0.538], + [12549, 0.359], [12550, 0.309], [12551, 0.102], [12552, 0.127], + [12553, 0.172], [12554, 0.094], [12555, 0.293], [12556, 0.217], + [12557, 0.074], [12558, 0.107], [12559, 0.273], [12560, 0.186], + [12561, 0.073], [12562, 0.087], [12563, 0.038], [12564, 0.051], + [12565, 0.061], [12566, 0.067], [12567, 0.089], [12568, 0.08], + [12569, 0.119], [12570, 0.062], [12571, 0.269], [12572, 0.275], + [12573, 0.284], [12574, 0.56], [12575, 0.341], [12576, 0.623], + [12577, 0.671], [12578, 0.508], [12579, 0.514], [12580, 0.385], + [12581, 0.042], [12582, 0.039], [12583, 0.07], [12584, 0.009], + [12587, 0.085], [12588, 0.027], [12589, 0.072], [12593, 0.037], + [12597, 0.021], [12755, 0.132], [13073, 0.075], [13074, 0.017], + [13088, 0.051], [13089, 0.042], [13095, 0.271], [13097, 0.016], + [13098, 0.067], [13102, 0.055], [13119, 0.045], [13123, 0.143], + [13127, 0.51], [13128, 0.61], [13129, 0.615], [13141, 0.305], + [13142, 0.351], [13143, 0.324], [13145, 0.067], [13146, 0.054], + [13147, 0.039], [13156, 0.066], [13157, 0.063], [13158, 0.057], + [13159, 0.069], [13160, 0.053], [13710, 1.0], [13711, 1.0], + [13712, 1.0], [13713, 1.0], [13714, 1.0], [13715, 1.0], + [13716, 1.0], [13717, 1.0], [16699, 0.027], [16700, 0.032], + [16706, 0.027], [16763, 0.023], [16772, 0.064], [16780, 0.025], + [16786, 0.15], [16855, 0.014], [17977, 0.005], [17994, 0.023] + ], + "toe3-2.R": [ + [5874, 0.053], [5875, 0.046], [5876, 0.049], [5877, 0.067], + [5878, 0.068], [5879, 0.063], [5880, 0.071], [5881, 0.062], + [5882, 0.018], [5883, 0.041], [5884, 0.083], [5885, 0.046], + [5886, 0.069], [5887, 0.05], [5888, 0.054], [5889, 0.078], + [5891, 0.045], [5892, 0.028], [5893, 0.073], [5894, 0.061], + [5895, 0.043], [5896, 0.063], [5898, 0.069], [5899, 0.069], + [5900, 0.093], [5901, 0.067], [5902, 0.056], [5903, 0.055], + [5904, 0.054], [5905, 0.116], [5906, 0.102], [5907, 0.064], + [5908, 0.169], [5909, 0.141], [5910, 0.056], [5911, 0.071], + [5912, 0.059], [5913, 0.079], [5914, 0.044], [5915, 0.064], + [5916, 0.067], [5917, 0.059], [5918, 0.094], [5919, 0.068], + [5920, 0.052], [5921, 0.108], [5922, 0.033], [5923, 0.06], + [5924, 0.015], [5925, 0.051], [5926, 0.056], [5927, 0.057], + [5928, 0.058], [5929, 0.043], [5930, 0.064], [5931, 0.063], + [5932, 0.128], [5933, 0.116], [5934, 0.6], [5935, 0.602], + [5936, 0.528], [5937, 0.388], [5938, 0.366], [5939, 0.307], + [5940, 0.586], [5941, 0.549], [5942, 0.398], [5943, 0.315], + [5944, 0.568], [5945, 0.652], [5946, 0.406], [5947, 0.436], + [5948, 0.346], [5949, 0.31], [5950, 0.712], [5951, 0.538], + [5952, 0.359], [5953, 0.309], [5954, 0.102], [5955, 0.127], + [5956, 0.172], [5957, 0.094], [5958, 0.293], [5959, 0.217], + [5960, 0.074], [5961, 0.107], [5962, 0.273], [5963, 0.186], + [5964, 0.073], [5965, 0.087], [5966, 0.038], [5967, 0.051], + [5968, 0.061], [5969, 0.067], [5970, 0.089], [5971, 0.08], + [5972, 0.119], [5973, 0.062], [5974, 0.269], [5975, 0.275], + [5976, 0.284], [5977, 0.56], [5978, 0.341], [5979, 0.623], + [5980, 0.671], [5981, 0.508], [5982, 0.514], [5983, 0.385], + [5984, 0.042], [5985, 0.039], [5986, 0.07], [5987, 0.009], + [5990, 0.085], [5991, 0.027], [5992, 0.072], [5996, 0.037], + [6000, 0.021], [6158, 0.132], [6477, 0.075], [6478, 0.017], + [6492, 0.051], [6493, 0.042], [6499, 0.271], [6501, 0.016], + [6502, 0.067], [6506, 0.055], [6523, 0.045], [6527, 0.143], + [6531, 0.51], [6532, 0.61], [6533, 0.615], [6545, 0.305], + [6546, 0.351], [6547, 0.324], [6549, 0.067], [6550, 0.054], + [6551, 0.039], [6560, 0.066], [6561, 0.063], [6562, 0.057], + [6563, 0.069], [6564, 0.053], [14150, 1.0], [14151, 1.0], + [14152, 1.0], [14153, 1.0], [14154, 1.0], [14155, 1.0], + [14156, 1.0], [14157, 1.0], [15395, 0.027], [15396, 0.032], + [15402, 0.027], [15459, 0.023], [15468, 0.064], [15476, 0.025], + [15482, 0.15], [15551, 0.014], [16607, 0.005], [16624, 0.023] + ], + "toe3-3.L": [ + [11612, 0.001], [11623, 0.002], [11628, 0.002], [11630, 0.002], + [11655, 0.002], [11661, 0.002], [11664, 0.001], [12471, 0.934], + [12472, 0.954], [12473, 0.951], [12474, 0.915], [12475, 0.932], + [12476, 0.937], [12477, 0.918], [12478, 0.93], [12479, 0.977], + [12480, 0.949], [12481, 0.893], [12482, 0.942], [12483, 0.931], + [12484, 0.936], [12485, 0.942], [12486, 0.901], [12487, 1.0], + [12488, 0.955], [12489, 0.965], [12490, 0.927], [12491, 0.939], + [12492, 0.956], [12493, 0.924], [12494, 0.999], [12495, 0.931], + [12496, 0.931], [12497, 0.897], [12498, 0.927], [12499, 0.944], + [12500, 0.945], [12501, 0.931], [12502, 0.853], [12503, 0.869], + [12504, 0.92], [12505, 0.785], [12506, 0.834], [12507, 0.933], + [12508, 0.914], [12509, 0.935], [12510, 0.914], [12511, 0.944], + [12512, 0.917], [12513, 0.914], [12514, 0.926], [12515, 0.906], + [12516, 0.932], [12517, 0.932], [12518, 0.865], [12519, 0.967], + [12520, 0.94], [12521, 0.981], [12522, 0.949], [12523, 0.944], + [12524, 0.943], [12525, 0.942], [12526, 0.948], [12527, 0.936], + [12528, 0.937], [12529, 0.831], [12530, 0.862], [12531, 0.146], + [12532, 0.142], [12533, 0.126], [12534, 0.239], [12535, 0.215], + [12536, 0.327], [12537, 0.145], [12538, 0.162], [12539, 0.183], + [12540, 0.34], [12541, 0.077], [12542, 0.06], [12543, 0.101], + [12544, 0.112], [12545, 0.118], [12546, 0.195], [12547, 0.061], + [12548, 0.107], [12549, 0.108], [12550, 0.202], [12551, 0.011], + [12552, 0.012], [12553, 0.044], [12554, 0.026], [12555, 0.097], + [12556, 0.075], [12557, 0.015], [12558, 0.029], [12559, 0.082], + [12560, 0.065], [12569, 0.02], [12571, 0.486], [12572, 0.522], + [12573, 0.518], [12574, 0.283], [12575, 0.364], [12576, 0.206], + [12577, 0.169], [12578, 0.362], [12579, 0.316], [12580, 0.351], + [12755, 0.832], [13073, 0.925], [13074, 0.979], [13075, 1.0], + [13084, 0.002], [13088, 0.935], [13089, 0.946], [13095, 0.092], + [13102, 0.007], [13119, 0.944], [13123, 0.83], [13127, 0.079], + [13128, 0.142], [13129, 0.215], [13141, 0.384], [13142, 0.244], + [13143, 0.169], [13145, 0.933], [13146, 0.946], [13147, 0.961], + [13157, 0.937], [13158, 0.943], [13159, 0.926], [13160, 0.941], + [13718, 0.999], [13719, 1.0], [13720, 0.999], [13721, 0.999], + [13722, 1.0], [13723, 0.999], [13724, 1.0], [13725, 1.0], + [13726, 0.002], [13727, 0.003], [13728, 0.002], [13729, 0.002], + [13730, 0.002], [13731, 0.001], [13733, 0.002], [16699, 0.473], + [16700, 0.468], [16706, 0.469], [16763, 0.477], [16772, 0.424], + [16780, 0.467], [16786, 0.015], [16855, 0.486], [17977, 0.495], + [17994, 0.477] + ], + "toe3-3.R": [ + [4994, 0.001], [5005, 0.002], [5010, 0.002], [5012, 0.002], + [5037, 0.002], [5043, 0.002], [5046, 0.001], [5874, 0.934], + [5875, 0.954], [5876, 0.951], [5877, 0.915], [5878, 0.932], + [5879, 0.937], [5880, 0.918], [5881, 0.93], [5882, 0.977], + [5883, 0.949], [5884, 0.893], [5885, 0.942], [5886, 0.931], + [5887, 0.936], [5888, 0.942], [5889, 0.901], [5890, 1.0], + [5891, 0.955], [5892, 0.965], [5893, 0.927], [5894, 0.939], + [5895, 0.956], [5896, 0.924], [5897, 0.999], [5898, 0.931], + [5899, 0.931], [5900, 0.897], [5901, 0.927], [5902, 0.944], + [5903, 0.945], [5904, 0.931], [5905, 0.853], [5906, 0.869], + [5907, 0.92], [5908, 0.785], [5909, 0.834], [5910, 0.933], + [5911, 0.914], [5912, 0.935], [5913, 0.914], [5914, 0.944], + [5915, 0.917], [5916, 0.914], [5917, 0.926], [5918, 0.906], + [5919, 0.932], [5920, 0.932], [5921, 0.865], [5922, 0.967], + [5923, 0.94], [5924, 0.981], [5925, 0.949], [5926, 0.944], + [5927, 0.943], [5928, 0.942], [5929, 0.948], [5930, 0.936], + [5931, 0.937], [5932, 0.831], [5933, 0.862], [5934, 0.146], + [5935, 0.142], [5936, 0.126], [5937, 0.239], [5938, 0.215], + [5939, 0.327], [5940, 0.145], [5941, 0.162], [5942, 0.183], + [5943, 0.34], [5944, 0.077], [5945, 0.06], [5946, 0.101], + [5947, 0.112], [5948, 0.118], [5949, 0.195], [5950, 0.061], + [5951, 0.107], [5952, 0.108], [5953, 0.202], [5954, 0.011], + [5955, 0.012], [5956, 0.044], [5957, 0.026], [5958, 0.097], + [5959, 0.075], [5960, 0.015], [5961, 0.029], [5962, 0.082], + [5963, 0.065], [5972, 0.02], [5974, 0.486], [5975, 0.522], + [5976, 0.518], [5977, 0.283], [5978, 0.364], [5979, 0.206], + [5980, 0.169], [5981, 0.362], [5982, 0.316], [5983, 0.351], + [6158, 0.832], [6477, 0.925], [6478, 0.979], [6479, 1.0], + [6488, 0.002], [6492, 0.935], [6493, 0.946], [6499, 0.092], + [6506, 0.007], [6523, 0.944], [6527, 0.83], [6531, 0.079], + [6532, 0.142], [6533, 0.215], [6545, 0.384], [6546, 0.244], + [6547, 0.169], [6549, 0.933], [6550, 0.946], [6551, 0.961], + [6561, 0.937], [6562, 0.943], [6563, 0.926], [6564, 0.941], + [14158, 0.999], [14159, 1.0], [14160, 0.999], [14161, 0.999], + [14162, 1.0], [14163, 0.999], [14164, 1.0], [14165, 1.0], + [14166, 0.002], [14167, 0.003], [14168, 0.002], [14169, 0.002], + [14170, 0.002], [14171, 0.001], [14173, 0.002], [15395, 0.473], + [15396, 0.468], [15402, 0.469], [15459, 0.477], [15468, 0.424], + [15476, 0.467], [15482, 0.015], [15551, 0.486], [16607, 0.495], + [16624, 0.477] + ], + "toe4-1.L": [ + [12466, 0.02], [12581, 0.021], [12585, 0.033], [12588, 0.04], + [12591, 0.03], [12594, 0.115], [12595, 0.058], [12596, 0.188], + [12598, 0.13], [12600, 0.304], [12609, 0.002], [12610, 0.002], + [12611, 0.003], [12612, 0.002], [12613, 0.001], [12614, 0.003], + [12615, 0.002], [12616, 0.003], [12619, 0.013], [12620, 0.001], + [12623, 0.006], [12631, 0.009], [12632, 0.004], [12633, 0.013], + [12634, 0.005], [12635, 0.025], [12636, 0.018], [12641, 0.003], + [12642, 0.01], [12643, 0.004], [12644, 0.001], [12647, 0.007], + [12648, 0.003], [12651, 0.002], [12659, 0.011], [12660, 0.018], + [12661, 0.238], [12662, 0.144], [12663, 0.169], [12664, 0.32], + [12665, 0.283], [12666, 0.372], [12667, 0.128], [12668, 0.255], + [12669, 0.257], [12670, 0.354], [12671, 0.342], [12672, 0.277], + [12673, 0.201], [12674, 0.452], [12675, 0.366], [12676, 0.436], + [12677, 0.234], [12678, 0.391], [12679, 0.301], [12680, 0.493], + [12681, 0.483], [12682, 0.393], [12683, 0.23], [12684, 0.567], + [12685, 0.435], [12686, 0.497], [12687, 0.314], [12688, 0.529], + [12689, 0.377], [12690, 0.554], [12691, 0.839], [12692, 0.682], + [12693, 0.278], [12694, 0.852], [12695, 0.694], [12696, 0.81], + [12697, 0.544], [12698, 0.871], [12699, 0.585], [12700, 0.829], + [12701, 0.124], [12702, 0.1], [12703, 0.057], [12704, 0.079], + [12705, 0.11], [12706, 0.064], [12707, 0.02], [12708, 0.043], + [12709, 0.031], [12710, 0.097], [12711, 0.746], [12712, 0.665], + [12713, 0.292], [12714, 0.835], [12715, 0.754], [12716, 0.822], + [12717, 0.531], [12718, 0.845], [12719, 0.623], [12720, 0.601], + [12721, 0.084], [12722, 0.093], [12723, 0.189], [12724, 0.547], + [12725, 0.429], [12726, 0.339], [12727, 0.16], [12728, 0.219], + [12729, 0.437], [12730, 0.385], [12731, 0.137], [12735, 0.043], + [12737, 0.194], [12739, 0.284], [12741, 0.111], [12743, 0.095], + [12745, 0.366], [12747, 0.102], [12749, 0.2], [12751, 0.055], + [12753, 0.454], [13076, 0.275], [13077, 0.116], [13078, 0.028], + [13087, 0.01], [13090, 0.172], [13091, 0.31], [13092, 0.439], + [13093, 0.001], [13096, 0.025], [13097, 0.01], [13099, 0.648], + [13100, 0.172], [13101, 0.317], [13103, 0.002], [13104, 0.004], + [13105, 0.011], [13106, 0.781], [13116, 0.21], [13117, 0.027], + [13118, 0.385], [13144, 0.04], [13148, 0.062], [13151, 0.454], + [13152, 0.764], [13153, 0.804], [13154, 0.029], [13243, 0.017], + [13253, 0.058], [13297, 0.008], [13317, 0.01], [13323, 0.098], + [13324, 0.04], [13325, 0.106], [13326, 0.038], [13327, 0.027], + [13328, 0.007], [13758, 1.0], [13759, 1.0], [13760, 1.0], + [13761, 1.0], [13762, 1.0], [13763, 1.0], [13764, 1.0], + [13765, 1.0], [13782, 1.0], [13783, 1.0], [13784, 1.0], + [13785, 1.0], [13786, 1.0], [13787, 1.0], [13788, 1.0], + [13789, 1.0], [16773, 0.004], [16774, 0.005], [16787, 0.092], + [16788, 0.148], [16794, 0.4], [16795, 0.015], [16801, 0.004], + [16804, 0.006], [16805, 0.037], [16811, 0.034], [16812, 0.022] + ], + "toe4-1.R": [ + [5869, 0.02], [5984, 0.021], [5988, 0.033], [5991, 0.04], + [5994, 0.03], [5997, 0.115], [5998, 0.058], [5999, 0.188], + [6001, 0.13], [6003, 0.304], [6012, 0.002], [6013, 0.002], + [6014, 0.003], [6015, 0.002], [6016, 0.001], [6017, 0.003], + [6018, 0.002], [6019, 0.003], [6022, 0.013], [6023, 0.001], + [6026, 0.006], [6034, 0.009], [6035, 0.004], [6036, 0.013], + [6037, 0.005], [6038, 0.025], [6039, 0.018], [6044, 0.003], + [6045, 0.01], [6046, 0.004], [6047, 0.001], [6050, 0.007], + [6051, 0.003], [6054, 0.002], [6062, 0.011], [6063, 0.018], + [6064, 0.238], [6065, 0.144], [6066, 0.169], [6067, 0.32], + [6068, 0.283], [6069, 0.372], [6070, 0.128], [6071, 0.255], + [6072, 0.257], [6073, 0.354], [6074, 0.342], [6075, 0.277], + [6076, 0.201], [6077, 0.452], [6078, 0.366], [6079, 0.436], + [6080, 0.234], [6081, 0.391], [6082, 0.301], [6083, 0.493], + [6084, 0.483], [6085, 0.393], [6086, 0.23], [6087, 0.567], + [6088, 0.435], [6089, 0.497], [6090, 0.314], [6091, 0.529], + [6092, 0.377], [6093, 0.554], [6094, 0.839], [6095, 0.682], + [6096, 0.278], [6097, 0.852], [6098, 0.694], [6099, 0.81], + [6100, 0.544], [6101, 0.871], [6102, 0.585], [6103, 0.829], + [6104, 0.124], [6105, 0.1], [6106, 0.057], [6107, 0.079], + [6108, 0.11], [6109, 0.064], [6110, 0.02], [6111, 0.043], + [6112, 0.031], [6113, 0.097], [6114, 0.746], [6115, 0.665], + [6116, 0.292], [6117, 0.835], [6118, 0.754], [6119, 0.822], + [6120, 0.531], [6121, 0.845], [6122, 0.623], [6123, 0.601], + [6124, 0.084], [6125, 0.093], [6126, 0.189], [6127, 0.547], + [6128, 0.429], [6129, 0.339], [6130, 0.16], [6131, 0.219], + [6132, 0.437], [6133, 0.385], [6134, 0.137], [6138, 0.043], + [6140, 0.194], [6142, 0.284], [6144, 0.111], [6146, 0.095], + [6148, 0.366], [6150, 0.102], [6152, 0.2], [6154, 0.055], + [6156, 0.454], [6480, 0.275], [6481, 0.116], [6482, 0.028], + [6491, 0.01], [6494, 0.172], [6495, 0.31], [6496, 0.439], + [6497, 0.001], [6500, 0.025], [6501, 0.01], [6503, 0.648], + [6504, 0.172], [6505, 0.317], [6507, 0.002], [6508, 0.004], + [6509, 0.011], [6510, 0.781], [6520, 0.21], [6521, 0.027], + [6522, 0.385], [6548, 0.04], [6552, 0.062], [6555, 0.454], + [6556, 0.764], [6557, 0.804], [6558, 0.029], [6647, 0.017], + [6657, 0.058], [6701, 0.008], [6721, 0.01], [6727, 0.098], + [6728, 0.04], [6729, 0.106], [6730, 0.038], [6731, 0.027], + [6732, 0.007], [14198, 1.0], [14199, 1.0], [14200, 1.0], + [14201, 1.0], [14202, 1.0], [14203, 1.0], [14204, 1.0], + [14205, 1.0], [14222, 1.0], [14223, 1.0], [14224, 1.0], + [14225, 1.0], [14226, 1.0], [14227, 1.0], [14228, 1.0], + [14229, 1.0], [15469, 0.004], [15470, 0.005], [15483, 0.092], + [15484, 0.148], [15490, 0.4], [15491, 0.015], [15497, 0.004], + [15500, 0.006], [15501, 0.037], [15507, 0.034], [15508, 0.022] + ], + "toe4-2.L": [ + [12584, 0.024], [12588, 0.022], [12590, 0.01], [12594, 0.093], + [12596, 0.01], [12598, 0.043], [12600, 0.067], [12601, 0.043], + [12602, 0.042], [12603, 0.02], [12604, 0.022], [12605, 0.009], + [12606, 0.016], [12607, 0.022], [12608, 0.026], [12609, 0.017], + [12610, 0.016], [12611, 0.025], [12612, 0.03], [12613, 0.035], + [12614, 0.024], [12615, 0.045], [12616, 0.042], [12617, 0.018], + [12618, 0.008], [12619, 0.102], [12620, 0.014], [12621, 0.003], + [12622, 0.01], [12623, 0.046], [12624, 0.015], [12625, 0.01], + [12626, 0.008], [12627, 0.025], [12628, 0.02], [12629, 0.011], + [12630, 0.009], [12631, 0.065], [12632, 0.037], [12633, 0.098], + [12634, 0.055], [12635, 0.173], [12636, 0.155], [12637, 0.026], + [12638, 0.004], [12639, 0.024], [12640, 0.008], [12641, 0.042], + [12642, 0.078], [12643, 0.037], [12644, 0.029], [12645, 0.006], + [12646, 0.016], [12647, 0.052], [12648, 0.033], [12649, 0.036], + [12650, 0.008], [12651, 0.015], [12652, 0.012], [12653, 0.015], + [12654, 0.011], [12655, 0.045], [12656, 0.004], [12657, 0.01], + [12658, 0.007], [12659, 0.079], [12660, 0.136], [12661, 0.644], + [12662, 0.719], [12663, 0.6], [12664, 0.59], [12665, 0.492], + [12666, 0.505], [12667, 0.659], [12668, 0.621], [12669, 0.531], + [12670, 0.564], [12671, 0.545], [12672, 0.561], [12673, 0.522], + [12674, 0.474], [12675, 0.465], [12676, 0.465], [12677, 0.564], + [12678, 0.515], [12679, 0.482], [12680, 0.443], [12681, 0.413], + [12682, 0.436], [12683, 0.444], [12684, 0.368], [12685, 0.412], + [12686, 0.415], [12687, 0.47], [12688, 0.402], [12689, 0.406], + [12690, 0.389], [12691, 0.132], [12692, 0.19], [12693, 0.299], + [12694, 0.095], [12695, 0.186], [12696, 0.134], [12697, 0.231], + [12698, 0.09], [12699, 0.216], [12700, 0.115], [12701, 0.648], + [12702, 0.608], [12703, 0.445], [12704, 0.504], [12705, 0.571], + [12706, 0.549], [12707, 0.275], [12708, 0.515], [12709, 0.229], + [12710, 0.535], [12711, 0.093], [12712, 0.157], [12713, 0.236], + [12714, 0.048], [12715, 0.102], [12716, 0.074], [12717, 0.189], + [12718, 0.04], [12719, 0.168], [12720, 0.048], [12723, 0.147], + [12725, 0.021], [12726, 0.007], [12727, 0.048], [12729, 0.091], + [12730, 0.017], [13076, 0.455], [13077, 0.54], [13078, 0.239], + [13079, 0.016], [13087, 0.08], [13090, 0.711], [13091, 0.551], + [13092, 0.424], [13093, 0.017], [13094, 0.023], [13099, 0.121], + [13101, 0.009], [13103, 0.024], [13104, 0.036], [13105, 0.089], + [13106, 0.155], [13107, 0.011], [13118, 0.446], [13124, 0.014], + [13125, 0.009], [13126, 0.005], [13138, 0.036], [13139, 0.063], + [13140, 0.074], [13148, 0.487], [13151, 0.425], [13152, 0.162], + [13153, 0.082], [13694, 1.0], [13695, 1.0], [13696, 1.0], + [13697, 1.0], [13698, 1.0], [13699, 1.0], [13700, 1.0], + [13701, 1.0], [16701, 0.01], [16705, 0.008], [16766, 0.005], + [16769, 0.007], [16773, 0.03], [16774, 0.045], [16778, 0.004], + [16779, 0.005], [16787, 0.339], [16788, 0.29], [16794, 0.056], + [17979, 0.009], [17988, 0.005] + ], + "toe4-2.R": [ + [5987, 0.024], [5991, 0.022], [5993, 0.01], [5997, 0.093], + [5999, 0.01], [6001, 0.043], [6003, 0.067], [6004, 0.043], + [6005, 0.042], [6006, 0.02], [6007, 0.022], [6008, 0.009], + [6009, 0.016], [6010, 0.022], [6011, 0.026], [6012, 0.017], + [6013, 0.016], [6014, 0.025], [6015, 0.03], [6016, 0.035], + [6017, 0.024], [6018, 0.045], [6019, 0.042], [6020, 0.018], + [6021, 0.008], [6022, 0.102], [6023, 0.014], [6024, 0.003], + [6025, 0.01], [6026, 0.046], [6027, 0.015], [6028, 0.01], + [6029, 0.008], [6030, 0.025], [6031, 0.02], [6032, 0.011], + [6033, 0.009], [6034, 0.065], [6035, 0.037], [6036, 0.098], + [6037, 0.055], [6038, 0.173], [6039, 0.155], [6040, 0.026], + [6041, 0.004], [6042, 0.024], [6043, 0.008], [6044, 0.042], + [6045, 0.078], [6046, 0.037], [6047, 0.029], [6048, 0.006], + [6049, 0.016], [6050, 0.052], [6051, 0.033], [6052, 0.036], + [6053, 0.008], [6054, 0.015], [6055, 0.012], [6056, 0.015], + [6057, 0.011], [6058, 0.045], [6059, 0.004], [6060, 0.01], + [6061, 0.007], [6062, 0.079], [6063, 0.136], [6064, 0.644], + [6065, 0.719], [6066, 0.6], [6067, 0.59], [6068, 0.492], + [6069, 0.505], [6070, 0.659], [6071, 0.621], [6072, 0.531], + [6073, 0.564], [6074, 0.545], [6075, 0.561], [6076, 0.522], + [6077, 0.474], [6078, 0.465], [6079, 0.465], [6080, 0.564], + [6081, 0.515], [6082, 0.482], [6083, 0.443], [6084, 0.413], + [6085, 0.436], [6086, 0.444], [6087, 0.368], [6088, 0.412], + [6089, 0.415], [6090, 0.47], [6091, 0.402], [6092, 0.406], + [6093, 0.389], [6094, 0.132], [6095, 0.19], [6096, 0.299], + [6097, 0.095], [6098, 0.186], [6099, 0.134], [6100, 0.231], + [6101, 0.09], [6102, 0.216], [6103, 0.115], [6104, 0.648], + [6105, 0.608], [6106, 0.445], [6107, 0.504], [6108, 0.571], + [6109, 0.549], [6110, 0.275], [6111, 0.515], [6112, 0.229], + [6113, 0.535], [6114, 0.093], [6115, 0.157], [6116, 0.236], + [6117, 0.048], [6118, 0.102], [6119, 0.074], [6120, 0.189], + [6121, 0.04], [6122, 0.168], [6123, 0.048], [6126, 0.147], + [6128, 0.021], [6129, 0.007], [6130, 0.048], [6132, 0.091], + [6133, 0.017], [6480, 0.455], [6481, 0.54], [6482, 0.239], + [6483, 0.016], [6491, 0.08], [6494, 0.711], [6495, 0.551], + [6496, 0.424], [6497, 0.017], [6498, 0.023], [6503, 0.121], + [6505, 0.009], [6507, 0.024], [6508, 0.036], [6509, 0.089], + [6510, 0.155], [6511, 0.011], [6522, 0.446], [6528, 0.014], + [6529, 0.009], [6530, 0.005], [6542, 0.036], [6543, 0.063], + [6544, 0.074], [6552, 0.487], [6555, 0.425], [6556, 0.162], + [6557, 0.082], [14134, 1.0], [14135, 1.0], [14136, 1.0], + [14137, 1.0], [14138, 1.0], [14139, 1.0], [14140, 1.0], + [14141, 1.0], [15397, 0.01], [15401, 0.008], [15462, 0.005], + [15465, 0.007], [15469, 0.03], [15470, 0.045], [15474, 0.004], + [15475, 0.005], [15483, 0.339], [15484, 0.29], [15490, 0.056], + [16609, 0.009], [16618, 0.005] + ], + "toe4-3.L": [ + [12601, 0.956], [12602, 0.958], [12603, 0.98], [12604, 0.978], + [12605, 0.991], [12606, 0.984], [12607, 0.978], [12608, 0.974], + [12609, 0.981], [12610, 0.982], [12611, 0.971], [12612, 0.968], + [12613, 0.964], [12614, 0.973], [12615, 0.953], [12616, 0.955], + [12617, 0.982], [12618, 0.992], [12619, 0.884], [12620, 0.985], + [12621, 0.996], [12622, 0.99], [12623, 0.949], [12624, 0.985], + [12625, 0.99], [12626, 0.992], [12627, 0.975], [12628, 0.98], + [12629, 0.989], [12630, 0.991], [12631, 0.926], [12632, 0.959], + [12633, 0.889], [12634, 0.94], [12635, 0.799], [12636, 0.826], + [12637, 0.974], [12638, 0.996], [12639, 0.975], [12640, 0.992], + [12641, 0.955], [12642, 0.912], [12643, 0.959], [12644, 0.97], + [12645, 0.994], [12646, 0.984], [12647, 0.941], [12648, 0.964], + [12649, 0.964], [12650, 0.992], [12651, 0.984], [12652, 0.987], + [12653, 0.985], [12654, 0.988], [12655, 0.955], [12656, 0.995], + [12657, 0.99], [12658, 0.993], [12659, 0.908], [12660, 0.845], + [12661, 0.119], [12662, 0.088], [12663, 0.074], [12664, 0.09], + [12665, 0.147], [12666, 0.104], [12667, 0.142], [12668, 0.124], + [12669, 0.083], [12670, 0.082], [12671, 0.093], [12672, 0.072], + [12673, 0.064], [12674, 0.074], [12675, 0.079], [12676, 0.077], + [12677, 0.065], [12678, 0.094], [12679, 0.061], [12680, 0.064], + [12681, 0.066], [12682, 0.057], [12683, 0.054], [12684, 0.057], + [12685, 0.053], [12686, 0.055], [12687, 0.056], [12688, 0.069], + [12689, 0.05], [12690, 0.057], [12693, 0.02], [12701, 0.228], + [12702, 0.292], [12703, 0.498], [12704, 0.417], [12705, 0.299], + [12706, 0.387], [12707, 0.705], [12708, 0.415], [12709, 0.74], + [12710, 0.328], [13076, 0.224], [13077, 0.344], [13078, 0.73], + [13079, 0.984], [13087, 0.909], [13090, 0.1], [13091, 0.08], + [13092, 0.062], [13093, 0.982], [13094, 0.977], [13103, 0.974], + [13104, 0.96], [13105, 0.9], [13107, 0.989], [13118, 0.11], + [13124, 0.986], [13125, 0.991], [13126, 0.994], [13138, 0.964], + [13139, 0.937], [13140, 0.926], [13148, 0.451], [13151, 0.055], + [13702, 1.0], [13703, 1.0], [13704, 1.0], [13705, 1.0], + [13706, 1.0], [13707, 1.0], [13708, 1.0], [13709, 1.0], + [16701, 0.49], [16705, 0.491], [16766, 0.495], [16769, 0.493], + [16773, 0.466], [16774, 0.45], [16778, 0.496], [16779, 0.495], + [16787, 0.043], [16788, 0.046], [17979, 0.491], [17988, 0.494] + ], + "toe4-3.R": [ + [6004, 0.956], [6005, 0.958], [6006, 0.98], [6007, 0.978], + [6008, 0.991], [6009, 0.984], [6010, 0.978], [6011, 0.974], + [6012, 0.981], [6013, 0.982], [6014, 0.971], [6015, 0.968], + [6016, 0.964], [6017, 0.973], [6018, 0.953], [6019, 0.955], + [6020, 0.982], [6021, 0.992], [6022, 0.884], [6023, 0.985], + [6024, 0.996], [6025, 0.99], [6026, 0.949], [6027, 0.985], + [6028, 0.99], [6029, 0.992], [6030, 0.975], [6031, 0.98], + [6032, 0.989], [6033, 0.991], [6034, 0.926], [6035, 0.959], + [6036, 0.889], [6037, 0.94], [6038, 0.799], [6039, 0.826], + [6040, 0.974], [6041, 0.996], [6042, 0.975], [6043, 0.992], + [6044, 0.955], [6045, 0.912], [6046, 0.959], [6047, 0.97], + [6048, 0.994], [6049, 0.984], [6050, 0.941], [6051, 0.964], + [6052, 0.964], [6053, 0.992], [6054, 0.984], [6055, 0.987], + [6056, 0.985], [6057, 0.988], [6058, 0.955], [6059, 0.995], + [6060, 0.99], [6061, 0.993], [6062, 0.908], [6063, 0.845], + [6064, 0.119], [6065, 0.088], [6066, 0.074], [6067, 0.09], + [6068, 0.147], [6069, 0.104], [6070, 0.142], [6071, 0.124], + [6072, 0.083], [6073, 0.082], [6074, 0.093], [6075, 0.072], + [6076, 0.064], [6077, 0.074], [6078, 0.079], [6079, 0.077], + [6080, 0.065], [6081, 0.094], [6082, 0.061], [6083, 0.064], + [6084, 0.066], [6085, 0.057], [6086, 0.054], [6087, 0.057], + [6088, 0.053], [6089, 0.055], [6090, 0.056], [6091, 0.069], + [6092, 0.05], [6093, 0.057], [6096, 0.02], [6104, 0.228], + [6105, 0.292], [6106, 0.498], [6107, 0.417], [6108, 0.299], + [6109, 0.387], [6110, 0.705], [6111, 0.415], [6112, 0.74], + [6113, 0.328], [6480, 0.224], [6481, 0.344], [6482, 0.73], + [6483, 0.984], [6491, 0.909], [6494, 0.1], [6495, 0.08], + [6496, 0.062], [6497, 0.982], [6498, 0.977], [6507, 0.974], + [6508, 0.96], [6509, 0.9], [6511, 0.989], [6522, 0.11], + [6528, 0.986], [6529, 0.991], [6530, 0.994], [6542, 0.964], + [6543, 0.937], [6544, 0.926], [6552, 0.451], [6555, 0.055], + [14142, 1.0], [14143, 1.0], [14144, 1.0], [14145, 1.0], + [14146, 1.0], [14147, 1.0], [14148, 1.0], [14149, 1.0], + [15397, 0.49], [15401, 0.491], [15462, 0.495], [15465, 0.493], + [15469, 0.466], [15470, 0.45], [15474, 0.496], [15475, 0.495], + [15483, 0.043], [15484, 0.046], [16609, 0.491], [16618, 0.494] + ], + "toe5-1.L": [ + [12684, 0.008], [12691, 0.03], [12694, 0.044], [12696, 0.028], + [12698, 0.039], [12700, 0.047], [12711, 0.116], [12714, 0.105], + [12715, 0.012], [12716, 0.079], [12718, 0.108], [12720, 0.085], + [12721, 0.023], [12724, 0.196], [12725, 0.038], [12726, 0.173], + [12728, 0.112], [12730, 0.183], [12731, 0.525], [12732, 0.411], + [12733, 0.641], [12734, 0.808], [12735, 0.687], [12736, 0.627], + [12737, 0.427], [12738, 0.674], [12739, 0.532], [12740, 0.271], + [12741, 0.408], [12742, 0.639], [12743, 0.291], [12744, 0.297], + [12745, 0.32], [12746, 0.247], [12747, 0.112], [12748, 0.099], + [12749, 0.239], [12750, 0.202], [12751, 0.04], [12752, 0.104], + [12753, 0.261], [12754, 0.116], [13099, 0.027], [13101, 0.078], + [13116, 0.269], [13117, 0.732], [13144, 0.281], [13149, 0.714], + [13150, 0.815], [13153, 0.042], [13161, 0.03], [13162, 0.006], + [13163, 0.03], [13164, 0.062], [13166, 0.021], [13167, 0.056], + [13168, 0.028], [13169, 0.052], [13170, 0.06], [13171, 0.093], + [13172, 0.075], [13173, 0.042], [13174, 0.086], [13175, 0.023], + [13176, 0.058], [13179, 0.105], [13180, 0.055], [13181, 0.043], + [13183, 0.057], [13186, 0.012], [13187, 0.051], [13188, 0.025], + [13191, 0.093], [13192, 0.084], [13193, 0.113], [13194, 0.073], + [13195, 0.104], [13196, 0.08], [13197, 0.01], [13198, 0.043], + [13199, 0.006], [13200, 0.041], [13201, 0.07], [13202, 0.08], + [13203, 0.05], [13204, 0.021], [13205, 0.036], [13206, 0.004], + [13207, 0.087], [13208, 0.078], [13209, 0.011], [13211, 0.077], + [13212, 0.033], [13214, 0.05], [13216, 0.081], [13219, 0.092], + [13220, 0.115], [13221, 0.124], [13222, 0.152], [13223, 0.157], + [13224, 0.205], [13225, 0.195], [13226, 0.201], [13227, 0.112], + [13228, 0.231], [13229, 0.167], [13230, 0.135], [13231, 0.282], + [13232, 0.234], [13233, 0.312], [13234, 0.289], [13235, 0.387], + [13236, 0.373], [13237, 0.161], [13238, 0.279], [13239, 0.31], + [13240, 0.306], [13241, 0.357], [13242, 0.388], [13243, 0.358], + [13244, 0.335], [13245, 0.377], [13246, 0.446], [13247, 0.274], + [13248, 0.334], [13249, 0.382], [13250, 0.341], [13251, 0.45], + [13252, 0.511], [13253, 0.388], [13254, 0.41], [13255, 0.463], + [13256, 0.457], [13257, 0.412], [13258, 0.414], [13259, 0.452], + [13260, 0.411], [13261, 0.08], [13262, 0.095], [13263, 0.1], + [13264, 0.137], [13265, 0.098], [13266, 0.141], [13267, 0.085], + [13268, 0.103], [13269, 0.131], [13270, 0.105], [13271, 0.134], + [13272, 0.106], [13273, 0.072], [13274, 0.027], [13275, 0.048], + [13276, 0.157], [13277, 0.22], [13278, 0.388], [13279, 0.048], + [13281, 0.092], [13282, 0.079], [13283, 0.094], [13284, 0.49], + [13286, 0.331], [13289, 0.007], [13290, 0.041], [13291, 0.044], + [13292, 0.049], [13293, 0.125], [13294, 0.394], [13295, 0.381], + [13296, 0.053], [13297, 0.608], [13298, 0.629], [13301, 0.064], + [13316, 0.153], [13317, 0.063], [13323, 0.098], [13324, 0.025], + [13325, 0.011], [13766, 1.0], [13767, 1.0], [13768, 1.0], + [13769, 1.0], [13770, 1.0], [13771, 1.0], [13772, 1.0], + [13773, 1.0], [13774, 1.0], [13775, 1.0], [13776, 1.0], + [13777, 1.0], [13778, 1.0], [13779, 1.0], [13780, 1.0], + [13781, 1.0], [16789, 0.11], [16793, 0.084], [16794, 0.019], + [16798, 0.068], [16801, 0.079], [16805, 0.037], [16806, 0.074], + [16810, 0.038], [16811, 0.012], [17987, 0.076], [18000, 0.042] + ], + "toe5-1.R": [ + [6087, 0.008], [6094, 0.03], [6097, 0.044], [6099, 0.028], + [6101, 0.039], [6103, 0.047], [6114, 0.116], [6117, 0.105], + [6118, 0.012], [6119, 0.079], [6121, 0.108], [6123, 0.085], + [6124, 0.023], [6127, 0.196], [6128, 0.038], [6129, 0.173], + [6131, 0.112], [6133, 0.183], [6134, 0.525], [6135, 0.411], + [6136, 0.641], [6137, 0.808], [6138, 0.687], [6139, 0.627], + [6140, 0.427], [6141, 0.674], [6142, 0.532], [6143, 0.271], + [6144, 0.408], [6145, 0.639], [6146, 0.291], [6147, 0.297], + [6148, 0.32], [6149, 0.247], [6150, 0.112], [6151, 0.099], + [6152, 0.239], [6153, 0.202], [6154, 0.04], [6155, 0.104], + [6156, 0.261], [6157, 0.116], [6503, 0.027], [6505, 0.078], + [6520, 0.269], [6521, 0.732], [6548, 0.281], [6553, 0.714], + [6554, 0.815], [6557, 0.042], [6565, 0.03], [6566, 0.006], + [6567, 0.03], [6568, 0.062], [6570, 0.021], [6571, 0.056], + [6572, 0.028], [6573, 0.052], [6574, 0.06], [6575, 0.093], + [6576, 0.075], [6577, 0.042], [6578, 0.086], [6579, 0.023], + [6580, 0.058], [6583, 0.105], [6584, 0.055], [6585, 0.043], + [6587, 0.057], [6590, 0.012], [6591, 0.051], [6592, 0.025], + [6595, 0.093], [6596, 0.084], [6597, 0.113], [6598, 0.073], + [6599, 0.104], [6600, 0.08], [6601, 0.01], [6602, 0.043], + [6603, 0.006], [6604, 0.041], [6605, 0.07], [6606, 0.08], + [6607, 0.05], [6608, 0.021], [6609, 0.036], [6610, 0.004], + [6611, 0.087], [6612, 0.078], [6613, 0.011], [6615, 0.077], + [6616, 0.033], [6618, 0.05], [6620, 0.081], [6623, 0.092], + [6624, 0.115], [6625, 0.124], [6626, 0.152], [6627, 0.157], + [6628, 0.205], [6629, 0.195], [6630, 0.201], [6631, 0.112], + [6632, 0.231], [6633, 0.167], [6634, 0.135], [6635, 0.282], + [6636, 0.234], [6637, 0.312], [6638, 0.289], [6639, 0.387], + [6640, 0.373], [6641, 0.161], [6642, 0.279], [6643, 0.31], + [6644, 0.306], [6645, 0.357], [6646, 0.388], [6647, 0.358], + [6648, 0.335], [6649, 0.377], [6650, 0.446], [6651, 0.274], + [6652, 0.334], [6653, 0.382], [6654, 0.341], [6655, 0.45], + [6656, 0.511], [6657, 0.388], [6658, 0.41], [6659, 0.463], + [6660, 0.457], [6661, 0.412], [6662, 0.414], [6663, 0.452], + [6664, 0.411], [6665, 0.08], [6666, 0.095], [6667, 0.1], + [6668, 0.137], [6669, 0.098], [6670, 0.141], [6671, 0.085], + [6672, 0.103], [6673, 0.131], [6674, 0.105], [6675, 0.134], + [6676, 0.106], [6677, 0.072], [6678, 0.027], [6679, 0.048], + [6680, 0.157], [6681, 0.22], [6682, 0.388], [6683, 0.048], + [6685, 0.092], [6686, 0.079], [6687, 0.094], [6688, 0.49], + [6690, 0.331], [6693, 0.007], [6694, 0.041], [6695, 0.044], + [6696, 0.049], [6697, 0.125], [6698, 0.394], [6699, 0.381], + [6700, 0.053], [6701, 0.608], [6702, 0.629], [6705, 0.064], + [6720, 0.153], [6721, 0.063], [6727, 0.098], [6728, 0.025], + [6729, 0.011], [14206, 1.0], [14207, 1.0], [14208, 1.0], + [14209, 1.0], [14210, 1.0], [14211, 1.0], [14212, 1.0], + [14213, 1.0], [14214, 1.0], [14215, 1.0], [14216, 1.0], + [14217, 1.0], [14218, 1.0], [14219, 1.0], [14220, 1.0], + [14221, 1.0], [15485, 0.11], [15489, 0.084], [15490, 0.019], + [15494, 0.068], [15497, 0.079], [15501, 0.037], [15502, 0.074], + [15506, 0.038], [15507, 0.012], [16617, 0.076], [16630, 0.042] + ], + "toe5-2.L": [ + [12720, 0.252], [12724, 0.01], [12730, 0.008], [12731, 0.125], + [12732, 0.206], [12733, 0.074], [12734, 0.068], [12735, 0.096], + [12736, 0.122], [12737, 0.108], [12738, 0.112], [12739, 0.071], + [12740, 0.059], [12741, 0.031], [12742, 0.044], [12743, 0.026], + [12744, 0.036], [12745, 0.044], [12746, 0.03], [12749, 0.078], + [12753, 0.027], [13117, 0.045], [13144, 0.022], [13149, 0.093], + [13150, 0.064], [13161, 0.027], [13163, 0.036], [13164, 0.057], + [13166, 0.023], [13167, 0.051], [13168, 0.025], [13169, 0.045], + [13170, 0.074], [13171, 0.081], [13172, 0.067], [13173, 0.038], + [13174, 0.077], [13175, 0.027], [13176, 0.052], [13179, 0.105], + [13180, 0.056], [13181, 0.05], [13183, 0.15], [13186, 0.013], + [13187, 0.047], [13188, 0.021], [13191, 0.12], [13192, 0.075], + [13193, 0.097], [13194, 0.061], [13195, 0.104], [13196, 0.166], + [13197, 0.007], [13198, 0.043], [13200, 0.04], [13201, 0.065], + [13202, 0.08], [13203, 0.052], [13204, 0.02], [13205, 0.034], + [13207, 0.087], [13208, 0.074], [13209, 0.017], [13211, 0.065], + [13212, 0.041], [13214, 0.047], [13215, 0.009], [13216, 0.108], + [13219, 0.077], [13220, 0.162], [13221, 0.091], [13222, 0.129], + [13223, 0.122], [13224, 0.243], [13225, 0.168], [13226, 0.211], + [13227, 0.13], [13228, 0.185], [13229, 0.111], [13230, 0.27], + [13231, 0.184], [13232, 0.18], [13233, 0.21], [13234, 0.242], + [13235, 0.202], [13236, 0.233], [13237, 0.243], [13238, 0.197], + [13239, 0.16], [13240, 0.306], [13241, 0.187], [13242, 0.217], + [13243, 0.211], [13244, 0.239], [13245, 0.178], [13246, 0.226], + [13247, 0.253], [13248, 0.197], [13249, 0.171], [13250, 0.286], + [13251, 0.174], [13252, 0.173], [13253, 0.192], [13254, 0.213], + [13255, 0.169], [13256, 0.201], [13257, 0.25], [13258, 0.189], + [13259, 0.169], [13260, 0.243], [13261, 0.136], [13262, 0.14], + [13263, 0.128], [13264, 0.108], [13265, 0.096], [13266, 0.124], + [13267, 0.086], [13268, 0.083], [13269, 0.119], [13270, 0.083], + [13271, 0.214], [13272, 0.14], [13273, 0.12], [13274, 0.022], + [13275, 0.159], [13276, 0.118], [13277, 0.145], [13278, 0.189], + [13279, 0.052], [13281, 0.079], [13282, 0.068], [13283, 0.079], + [13284, 0.167], [13286, 0.217], [13290, 0.037], [13291, 0.039], + [13292, 0.043], [13293, 0.1], [13294, 0.206], [13295, 0.162], + [13297, 0.096], [13298, 0.086], [13678, 1.0], [13679, 1.0], + [13680, 1.0], [13681, 1.0], [13682, 1.0], [13683, 1.0], + [13684, 1.0], [13685, 1.0], [16789, 0.114], [16793, 0.106], + [16798, 0.052], [16801, 0.005], [17987, 0.128] + ], + "toe5-2.R": [ + [6123, 0.252], [6127, 0.01], [6133, 0.008], [6134, 0.125], + [6135, 0.206], [6136, 0.074], [6137, 0.068], [6138, 0.096], + [6139, 0.122], [6140, 0.108], [6141, 0.112], [6142, 0.071], + [6143, 0.059], [6144, 0.031], [6145, 0.044], [6146, 0.026], + [6147, 0.036], [6148, 0.044], [6149, 0.03], [6152, 0.078], + [6156, 0.027], [6521, 0.045], [6548, 0.022], [6553, 0.093], + [6554, 0.064], [6565, 0.027], [6567, 0.036], [6568, 0.057], + [6570, 0.023], [6571, 0.051], [6572, 0.025], [6573, 0.045], + [6574, 0.074], [6575, 0.081], [6576, 0.067], [6577, 0.038], + [6578, 0.077], [6579, 0.027], [6580, 0.052], [6583, 0.105], + [6584, 0.056], [6585, 0.05], [6587, 0.15], [6590, 0.013], + [6591, 0.047], [6592, 0.021], [6595, 0.12], [6596, 0.075], + [6597, 0.097], [6598, 0.061], [6599, 0.104], [6600, 0.166], + [6601, 0.007], [6602, 0.043], [6604, 0.04], [6605, 0.065], + [6606, 0.08], [6607, 0.052], [6608, 0.02], [6609, 0.034], + [6611, 0.087], [6612, 0.074], [6613, 0.017], [6615, 0.065], + [6616, 0.041], [6618, 0.047], [6619, 0.009], [6620, 0.108], + [6623, 0.077], [6624, 0.162], [6625, 0.091], [6626, 0.129], + [6627, 0.122], [6628, 0.243], [6629, 0.168], [6630, 0.211], + [6631, 0.13], [6632, 0.185], [6633, 0.111], [6634, 0.27], + [6635, 0.184], [6636, 0.18], [6637, 0.21], [6638, 0.242], + [6639, 0.202], [6640, 0.233], [6641, 0.243], [6642, 0.197], + [6643, 0.16], [6644, 0.306], [6645, 0.187], [6646, 0.217], + [6647, 0.211], [6648, 0.239], [6649, 0.178], [6650, 0.226], + [6651, 0.253], [6652, 0.197], [6653, 0.171], [6654, 0.286], + [6655, 0.174], [6656, 0.173], [6657, 0.192], [6658, 0.213], + [6659, 0.169], [6660, 0.201], [6661, 0.25], [6662, 0.189], + [6663, 0.169], [6664, 0.243], [6665, 0.136], [6666, 0.14], + [6667, 0.128], [6668, 0.108], [6669, 0.096], [6670, 0.124], + [6671, 0.086], [6672, 0.083], [6673, 0.119], [6674, 0.083], + [6675, 0.214], [6676, 0.14], [6677, 0.12], [6678, 0.022], + [6679, 0.159], [6680, 0.118], [6681, 0.145], [6682, 0.189], + [6683, 0.052], [6685, 0.079], [6686, 0.068], [6687, 0.079], + [6688, 0.167], [6690, 0.217], [6694, 0.037], [6695, 0.039], + [6696, 0.043], [6697, 0.1], [6698, 0.206], [6699, 0.162], + [6701, 0.096], [6702, 0.086], [14118, 1.0], [14119, 1.0], + [14120, 1.0], [14121, 1.0], [14122, 1.0], [14123, 1.0], + [14124, 1.0], [14125, 1.0], [15485, 0.114], [15489, 0.106], + [15494, 0.052], [15497, 0.005], [16617, 0.128] + ], + "toe5-3.L": [ + [12724, 0.047], [12726, 0.008], [12728, 0.007], [12730, 0.017], + [12731, 0.185], [12732, 0.382], [12733, 0.121], [12734, 0.104], + [12735, 0.174], [12736, 0.239], [12737, 0.19], [12738, 0.187], + [12739, 0.11], [12740, 0.135], [12741, 0.061], [12742, 0.092], + [12743, 0.067], [12744, 0.101], [12745, 0.077], [12746, 0.057], + [12747, 0.018], [12749, 0.036], [12750, 0.025], [12753, 0.062], + [12754, 0.016], [13116, 0.026], [13117, 0.099], [13144, 0.074], + [13149, 0.18], [13150, 0.101], [13161, 0.942], [13162, 0.994], + [13163, 0.935], [13164, 0.881], [13165, 1.0], [13166, 0.956], + [13167, 0.893], [13168, 0.947], [13169, 0.902], [13170, 0.866], + [13171, 0.826], [13172, 0.859], [13173, 0.92], [13174, 0.837], + [13175, 0.95], [13176, 0.89], [13177, 1.0], [13178, 1.0], + [13179, 0.789], [13180, 0.889], [13181, 0.907], [13182, 1.0], + [13183, 0.793], [13184, 1.0], [13185, 1.0], [13186, 0.968], + [13187, 0.902], [13188, 0.955], [13189, 1.0], [13190, 1.0], + [13191, 0.787], [13192, 0.842], [13193, 0.791], [13194, 0.866], + [13195, 0.792], [13196, 0.754], [13197, 0.984], [13198, 0.915], + [13199, 0.994], [13200, 0.919], [13201, 0.865], [13202, 0.84], + [13203, 0.897], [13204, 0.959], [13205, 0.929], [13206, 0.996], + [13207, 0.826], [13208, 0.848], [13209, 0.972], [13210, 1.0], + [13211, 0.858], [13212, 0.926], [13213, 1.0], [13214, 0.902], + [13215, 0.991], [13216, 0.812], [13217, 1.0], [13218, 1.0], + [13219, 0.831], [13220, 0.724], [13221, 0.784], [13222, 0.718], + [13223, 0.721], [13224, 0.552], [13225, 0.629], [13226, 0.588], + [13227, 0.758], [13228, 0.585], [13229, 0.722], [13230, 0.595], + [13231, 0.534], [13232, 0.586], [13233, 0.472], [13234, 0.469], + [13235, 0.394], [13236, 0.394], [13237, 0.596], [13238, 0.524], + [13239, 0.53], [13240, 0.387], [13241, 0.456], [13242, 0.395], + [13243, 0.405], [13244, 0.426], [13245, 0.439], [13246, 0.328], + [13247, 0.463], [13248, 0.469], [13249, 0.441], [13250, 0.373], + [13251, 0.376], [13252, 0.316], [13253, 0.351], [13254, 0.367], + [13255, 0.358], [13256, 0.335], [13257, 0.32], [13258, 0.397], + [13259, 0.371], [13260, 0.346], [13261, 0.784], [13262, 0.765], + [13263, 0.772], [13264, 0.754], [13265, 0.807], [13266, 0.735], + [13267, 0.829], [13268, 0.814], [13269, 0.75], [13270, 0.812], + [13271, 0.652], [13272, 0.754], [13273, 0.808], [13274, 0.952], + [13275, 0.794], [13276, 0.725], [13277, 0.635], [13278, 0.423], + [13279, 0.9], [13280, 1.0], [13281, 0.829], [13282, 0.853], + [13283, 0.828], [13284, 0.343], [13285, 1.0], [13286, 0.453], + [13287, 1.0], [13288, 1.0], [13289, 0.993], [13290, 0.921], + [13291, 0.917], [13292, 0.908], [13293, 0.774], [13294, 0.4], + [13295, 0.453], [13297, 0.256], [13298, 0.273], [13686, 1.0], + [13687, 1.0], [13688, 1.0], [13689, 1.0], [13690, 1.0], + [13691, 1.0], [13692, 1.0], [13693, 1.0], [16789, 0.275], + [16793, 0.31], [16798, 0.38], [16801, 0.016], [16806, 0.002], + [17987, 0.297], [18000, 0.004] + ], + "toe5-3.R": [ + [6127, 0.047], [6129, 0.008], [6131, 0.007], [6133, 0.017], + [6134, 0.185], [6135, 0.382], [6136, 0.121], [6137, 0.104], + [6138, 0.174], [6139, 0.239], [6140, 0.19], [6141, 0.187], + [6142, 0.11], [6143, 0.135], [6144, 0.061], [6145, 0.092], + [6146, 0.067], [6147, 0.101], [6148, 0.077], [6149, 0.057], + [6150, 0.018], [6152, 0.036], [6153, 0.025], [6156, 0.062], + [6157, 0.016], [6520, 0.026], [6521, 0.099], [6548, 0.074], + [6553, 0.18], [6554, 0.101], [6565, 0.942], [6566, 0.994], + [6567, 0.935], [6568, 0.881], [6569, 1.0], [6570, 0.956], + [6571, 0.893], [6572, 0.947], [6573, 0.902], [6574, 0.866], + [6575, 0.826], [6576, 0.859], [6577, 0.92], [6578, 0.837], + [6579, 0.95], [6580, 0.89], [6581, 1.0], [6582, 1.0], + [6583, 0.789], [6584, 0.889], [6585, 0.907], [6586, 1.0], + [6587, 0.793], [6588, 1.0], [6589, 1.0], [6590, 0.968], + [6591, 0.902], [6592, 0.955], [6593, 1.0], [6594, 1.0], + [6595, 0.787], [6596, 0.842], [6597, 0.791], [6598, 0.866], + [6599, 0.792], [6600, 0.754], [6601, 0.984], [6602, 0.915], + [6603, 0.994], [6604, 0.919], [6605, 0.865], [6606, 0.84], + [6607, 0.897], [6608, 0.959], [6609, 0.929], [6610, 0.996], + [6611, 0.826], [6612, 0.848], [6613, 0.972], [6614, 1.0], + [6615, 0.858], [6616, 0.926], [6617, 1.0], [6618, 0.902], + [6619, 0.991], [6620, 0.812], [6621, 1.0], [6622, 1.0], + [6623, 0.831], [6624, 0.724], [6625, 0.784], [6626, 0.718], + [6627, 0.721], [6628, 0.552], [6629, 0.629], [6630, 0.588], + [6631, 0.758], [6632, 0.585], [6633, 0.722], [6634, 0.595], + [6635, 0.534], [6636, 0.586], [6637, 0.472], [6638, 0.469], + [6639, 0.394], [6640, 0.394], [6641, 0.596], [6642, 0.524], + [6643, 0.53], [6644, 0.387], [6645, 0.456], [6646, 0.395], + [6647, 0.405], [6648, 0.426], [6649, 0.439], [6650, 0.328], + [6651, 0.463], [6652, 0.469], [6653, 0.441], [6654, 0.373], + [6655, 0.376], [6656, 0.316], [6657, 0.351], [6658, 0.367], + [6659, 0.358], [6660, 0.335], [6661, 0.32], [6662, 0.397], + [6663, 0.371], [6664, 0.346], [6665, 0.784], [6666, 0.765], + [6667, 0.772], [6668, 0.754], [6669, 0.807], [6670, 0.735], + [6671, 0.829], [6672, 0.814], [6673, 0.75], [6674, 0.812], + [6675, 0.652], [6676, 0.754], [6677, 0.808], [6678, 0.952], + [6679, 0.794], [6680, 0.725], [6681, 0.635], [6682, 0.423], + [6683, 0.9], [6684, 1.0], [6685, 0.829], [6686, 0.853], + [6687, 0.828], [6688, 0.343], [6689, 1.0], [6690, 0.453], + [6691, 1.0], [6692, 1.0], [6693, 0.993], [6694, 0.921], + [6695, 0.917], [6696, 0.908], [6697, 0.774], [6698, 0.4], + [6699, 0.453], [6701, 0.256], [6702, 0.273], [14126, 1.0], + [14127, 1.0], [14128, 1.0], [14129, 1.0], [14130, 1.0], + [14131, 1.0], [14132, 1.0], [14133, 1.0], [15485, 0.275], + [15489, 0.31], [15494, 0.38], [15497, 0.016], [15502, 0.002], + [16617, 0.297], [16630, 0.004] + ], + "tongue00": [ + [14582, 1.0], [14583, 1.0], [14584, 1.0], [14585, 1.0], + [14586, 1.0], [14587, 1.0], [14588, 1.0], [14589, 1.0] + ], + "tongue01": [ + [13388, 0.002], [13391, 0.01], [13394, 0.986], [13395, 0.814], + [13396, 0.448], [13397, 0.144], [13398, 0.061], [13400, 0.04], + [13402, 0.073], [13403, 1.0], [13404, 0.728], [13405, 0.891], + [13406, 1.0], [13407, 1.0], [13408, 1.0], [13409, 1.0], + [13410, 1.0], [13411, 1.0], [13412, 0.817], [13413, 0.797], + [13414, 0.774], [13415, 0.791], [13416, 0.799], [13417, 0.751], + [13418, 0.432], [13419, 0.412], [13420, 0.461], [13421, 0.513], + [13422, 0.538], [13423, 0.207], [13424, 0.106], [13425, 0.05], + [13426, 0.01], [13427, 0.019], [13428, 0.035], [13429, 0.027], + [13430, 0.137], [13431, 0.063], [13432, 0.048], [13433, 0.115], + [13434, 0.047], [13435, 0.08], [13436, 0.036], [13437, 0.02], + [13438, 0.591], [13439, 0.077], [13440, 0.031], [13441, 0.017], + [13442, 0.023], [13443, 0.015], [13444, 0.004], [13445, 0.007], + [13446, 0.009], [13447, 0.013], [13448, 0.011], [13449, 0.008], + [13450, 0.002], [13451, 0.003], [13452, 0.004], [13453, 0.006], + [13454, 0.006], [13455, 0.004], [13456, 0.001], [13457, 0.002], + [13458, 0.002], [13459, 0.003], [13485, 0.004], [13486, 0.006], + [13490, 0.005], [13491, 0.009], [13492, 1.0], [13493, 0.869], + [13494, 0.71], [13495, 0.626], [13496, 0.04], [13497, 0.217], + [13498, 0.094], [13499, 0.061], [13500, 0.137], [13501, 0.03], + [13502, 0.019], [13503, 0.012], [13504, 1.0], [13505, 0.708], + [13506, 1.0], [13507, 1.0], [13508, 1.0], [13509, 1.0], + [13510, 1.0], [13511, 1.0], [13512, 0.817], [13513, 0.797], + [13514, 0.774], [13515, 0.791], [13516, 0.799], [13517, 0.751], + [13518, 0.432], [13519, 0.412], [13520, 0.461], [13521, 0.513], + [13522, 0.538], [13523, 0.207], [13524, 0.106], [13525, 0.05], + [13526, 0.01], [13527, 0.019], [13528, 0.035], [13529, 0.027], + [13530, 0.137], [13531, 0.063], [13532, 0.048], [13533, 0.115], + [13534, 0.047], [13535, 0.08], [13536, 0.036], [13537, 0.02], + [13538, 0.591], [13539, 0.077], [13540, 0.031], [13541, 0.017], + [13542, 0.023], [13543, 0.015], [13544, 0.004], [13545, 0.007], + [13546, 0.009], [13547, 0.013], [13548, 0.011], [13549, 0.008], + [13550, 0.002], [13551, 0.003], [13552, 0.004], [13553, 0.006], + [13554, 0.006], [13555, 0.004], [13556, 0.001], [13557, 0.002], + [13558, 0.002], [13559, 0.003], [13585, 0.004], [13586, 0.006], + [13590, 0.005], [13591, 0.009], [13592, 1.0], [13593, 0.869], + [13594, 0.71], [13595, 0.626], [13596, 0.04], [13597, 0.217], + [13598, 0.094], [13599, 0.061], [13600, 0.137], [13601, 0.03], + [13602, 0.019], [13603, 0.012], [13604, 1.0], [13605, 0.708], + [14574, 1.0], [14575, 1.0], [14576, 1.0], [14577, 1.0], + [14578, 1.0], [14579, 1.0], [14580, 1.0], [14581, 1.0] + ], + "tongue02": [ + [13390, 0.026], [13391, 0.043], [13392, 0.05], [13393, 0.084], + [13395, 0.101], [13396, 0.122], [13397, 0.323], [13398, 0.363], + [13399, 0.176], [13400, 0.206], [13401, 0.112], [13402, 0.094], + [13404, 0.067], [13405, 0.029], [13412, 0.041], [13413, 0.036], + [13414, 0.016], [13415, 0.014], [13416, 0.017], [13417, 0.013], + [13418, 0.022], [13419, 0.025], [13420, 0.022], [13421, 0.062], + [13422, 0.034], [13423, 0.157], [13424, 0.168], [13425, 0.078], + [13426, 0.075], [13427, 0.051], [13428, 0.031], [13429, 0.035], + [13430, 0.061], [13431, 0.064], [13432, 0.071], [13433, 0.071], + [13434, 0.088], [13435, 0.056], [13436, 0.1], [13437, 0.153], + [13438, 0.086], [13439, 0.196], [13440, 0.315], [13441, 0.152], + [13442, 0.04], [13443, 0.016], [13444, 0.037], [13445, 0.073], + [13446, 0.024], [13447, 0.018], [13448, 0.021], [13449, 0.008], + [13450, 0.019], [13451, 0.038], [13452, 0.012], [13453, 0.009], + [13486, 0.048], [13491, 0.041], [13493, 0.049], [13494, 0.111], + [13495, 0.114], [13496, 0.164], [13497, 0.339], [13498, 0.346], + [13499, 0.396], [13500, 0.221], [13501, 0.214], [13502, 0.08], + [13503, 0.09], [13505, 0.186], [13512, 0.041], [13513, 0.036], + [13514, 0.016], [13515, 0.014], [13516, 0.017], [13517, 0.013], + [13518, 0.022], [13519, 0.025], [13520, 0.022], [13521, 0.062], + [13522, 0.034], [13523, 0.157], [13524, 0.168], [13525, 0.078], + [13526, 0.075], [13527, 0.051], [13528, 0.031], [13529, 0.035], + [13530, 0.061], [13531, 0.064], [13532, 0.071], [13533, 0.071], + [13534, 0.088], [13535, 0.056], [13536, 0.1], [13537, 0.153], + [13538, 0.086], [13539, 0.196], [13540, 0.315], [13541, 0.152], + [13542, 0.04], [13543, 0.016], [13544, 0.037], [13545, 0.073], + [13546, 0.024], [13547, 0.018], [13548, 0.021], [13549, 0.008], + [13550, 0.019], [13551, 0.038], [13552, 0.012], [13553, 0.009], + [13586, 0.048], [13591, 0.041], [13593, 0.049], [13594, 0.111], + [13595, 0.114], [13596, 0.164], [13597, 0.339], [13598, 0.346], + [13599, 0.396], [13600, 0.221], [13601, 0.214], [13602, 0.08], + [13603, 0.09], [13605, 0.186], [14558, 1.0], [14559, 1.0], + [14560, 1.0], [14561, 1.0], [14562, 1.0], [14563, 1.0], + [14564, 1.0], [14565, 1.0] + ], + "tongue03": [ + [13387, 0.033], [13388, 0.146], [13389, 0.158], [13390, 0.282], + [13391, 0.359], [13392, 0.441], [13393, 0.508], [13397, 0.094], + [13398, 0.16], [13399, 0.321], [13400, 0.122], [13401, 0.229], + [13402, 0.056], [13423, 0.048], [13424, 0.098], [13425, 0.185], + [13426, 0.116], [13427, 0.068], [13428, 0.056], [13429, 0.061], + [13430, 0.036], [13431, 0.067], [13432, 0.056], [13433, 0.034], + [13434, 0.033], [13435, 0.022], [13436, 0.039], [13437, 0.058], + [13439, 0.061], [13440, 0.098], [13441, 0.21], [13442, 0.245], + [13443, 0.084], [13444, 0.193], [13445, 0.315], [13446, 0.093], + [13447, 0.094], [13448, 0.199], [13449, 0.065], [13450, 0.122], + [13451, 0.231], [13452, 0.027], [13453, 0.064], [13454, 0.094], + [13455, 0.06], [13456, 0.049], [13457, 0.109], [13458, 0.023], + [13459, 0.053], [13460, 0.049], [13461, 0.023], [13465, 0.029], + [13485, 0.094], [13486, 0.238], [13489, 0.046], [13490, 0.144], + [13491, 0.302], [13496, 0.342], [13497, 0.117], [13498, 0.204], + [13499, 0.129], [13500, 0.072], [13501, 0.256], [13502, 0.421], + [13503, 0.422], [13523, 0.048], [13524, 0.098], [13525, 0.185], + [13526, 0.116], [13527, 0.068], [13528, 0.056], [13529, 0.061], + [13530, 0.036], [13531, 0.067], [13532, 0.056], [13533, 0.034], + [13534, 0.033], [13535, 0.022], [13536, 0.039], [13537, 0.058], + [13539, 0.061], [13540, 0.098], [13541, 0.21], [13542, 0.245], + [13543, 0.084], [13544, 0.193], [13545, 0.315], [13546, 0.093], + [13547, 0.094], [13548, 0.199], [13549, 0.065], [13550, 0.122], + [13551, 0.231], [13552, 0.027], [13553, 0.064], [13554, 0.094], + [13555, 0.06], [13556, 0.049], [13557, 0.109], [13558, 0.023], + [13559, 0.053], [13560, 0.049], [13561, 0.023], [13565, 0.029], + [13585, 0.094], [13586, 0.238], [13589, 0.046], [13590, 0.144], + [13591, 0.302], [13596, 0.342], [13597, 0.117], [13598, 0.204], + [13599, 0.129], [13600, 0.072], [13601, 0.256], [13602, 0.421], + [13603, 0.422] + ], + "tongue04": [ + [13380, 0.994], [13381, 0.956], [13382, 0.993], [13383, 0.894], + [13384, 0.907], [13385, 0.708], [13386, 0.808], [13387, 0.548], + [13388, 0.686], [13389, 0.437], [13390, 0.458], [13391, 0.293], + [13392, 0.248], [13393, 0.151], [13399, 0.142], [13401, 0.19], + [13425, 0.116], [13426, 0.104], [13427, 0.08], [13428, 0.036], + [13429, 0.046], [13431, 0.02], [13432, 0.017], [13434, 0.01], + [13436, 0.022], [13437, 0.026], [13441, 0.166], [13442, 0.164], + [13443, 0.048], [13444, 0.153], [13445, 0.225], [13446, 0.112], + [13447, 0.063], [13448, 0.216], [13449, 0.072], [13450, 0.288], + [13451, 0.377], [13452, 0.213], [13453, 0.103], [13454, 0.332], + [13455, 0.121], [13456, 0.4], [13457, 0.565], [13458, 0.345], + [13459, 0.168], [13460, 0.482], [13461, 0.227], [13462, 0.657], + [13463, 0.767], [13464, 0.72], [13465, 0.32], [13466, 0.682], + [13467, 0.361], [13468, 0.823], [13469, 0.882], [13470, 0.846], + [13471, 0.535], [13472, 0.806], [13473, 0.506], [13474, 0.972], + [13475, 0.986], [13476, 0.96], [13477, 0.738], [13478, 0.864], + [13479, 0.979], [13480, 0.994], [13481, 0.995], [13482, 0.948], + [13483, 0.883], [13484, 0.907], [13485, 0.727], [13486, 0.475], + [13487, 0.812], [13488, 0.808], [13489, 0.629], [13490, 0.462], + [13491, 0.282], [13496, 0.106], [13501, 0.235], [13502, 0.141], + [13503, 0.245], [13525, 0.116], [13526, 0.104], [13527, 0.08], + [13528, 0.036], [13529, 0.046], [13531, 0.02], [13532, 0.017], + [13534, 0.01], [13536, 0.022], [13537, 0.026], [13541, 0.166], + [13542, 0.164], [13543, 0.048], [13544, 0.153], [13545, 0.225], + [13546, 0.112], [13547, 0.063], [13548, 0.216], [13549, 0.072], + [13550, 0.288], [13551, 0.377], [13552, 0.213], [13553, 0.103], + [13554, 0.332], [13555, 0.121], [13556, 0.4], [13557, 0.565], + [13558, 0.345], [13559, 0.168], [13560, 0.482], [13561, 0.227], + [13562, 0.657], [13563, 0.767], [13564, 0.72], [13565, 0.32], + [13566, 0.682], [13567, 0.361], [13568, 0.823], [13569, 0.882], + [13570, 0.846], [13571, 0.535], [13572, 0.806], [13573, 0.506], + [13574, 0.972], [13575, 0.986], [13576, 0.96], [13577, 0.738], + [13578, 0.864], [13579, 0.979], [13580, 0.994], [13581, 0.995], + [13582, 0.948], [13583, 0.883], [13584, 0.907], [13585, 0.727], + [13586, 0.475], [13587, 0.812], [13588, 0.808], [13589, 0.629], + [13590, 0.462], [13591, 0.282], [13596, 0.106], [13601, 0.235], + [13602, 0.141], [13603, 0.245], [14550, 1.0], [14551, 1.0], + [14552, 1.0], [14553, 1.0], [14554, 1.0], [14555, 1.0], + [14556, 1.0], [14557, 1.0] + ], + "tongue05.L": [ + [13385, 0.001], [13387, 0.004], [13388, 0.005], [13389, 0.007], + [13392, 0.022], [13393, 0.022], [13395, 0.085], [13396, 0.184], + [13397, 0.156], [13398, 0.091], [13399, 0.047], [13400, 0.162], + [13401, 0.044], [13402, 0.309], [13404, 0.189], [13405, 0.081], + [13512, 0.136], [13513, 0.164], [13514, 0.199], [13515, 0.19], + [13516, 0.172], [13517, 0.215], [13518, 0.524], [13519, 0.498], + [13520, 0.468], [13521, 0.393], [13522, 0.406], [13523, 0.361], + [13524, 0.219], [13525, 0.104], [13526, 0.152], [13527, 0.149], + [13528, 0.188], [13529, 0.182], [13530, 0.396], [13531, 0.261], + [13532, 0.263], [13533, 0.381], [13534, 0.519], [13535, 0.501], + [13536, 0.231], [13537, 0.243], [13538, 0.311], [13539, 0.474], + [13540, 0.215], [13541, 0.097], [13542, 0.049], [13543, 0.09], + [13544, 0.069], [13545, 0.043], [13546, 0.094], [13547, 0.116], + [13548, 0.022], [13549, 0.049], [13550, 0.046], [13551, 0.024], + [13552, 0.067], [13553, 0.054], [13554, 0.016], [13555, 0.035], + [13556, 0.021], [13557, 0.009], [13558, 0.036], [13559, 0.046], + [13560, 0.009], [13561, 0.021], [13562, 0.005], [13563, 0.002], + [13564, 0.008], [13565, 0.029], [13566, 0.002], [13567, 0.007], + [13568, 0.001], [13570, 0.002], [13571, 0.009], [13585, 0.005], + [13586, 0.013], [13588, 0.001], [13589, 0.005], [13590, 0.008], + [13591, 0.01], [13593, 0.083], [13594, 0.179], [13595, 0.244], + [13596, 0.046], [13597, 0.213], [13598, 0.11], [13599, 0.19], + [13600, 0.416], [13601, 0.05], [13602, 0.023], [13603, 0.021], + [13605, 0.106] + ], + "tongue05.R": [ + [13385, 0.001], [13387, 0.004], [13388, 0.005], [13389, 0.007], + [13392, 0.022], [13393, 0.022], [13395, 0.085], [13396, 0.184], + [13397, 0.156], [13398, 0.091], [13399, 0.047], [13400, 0.162], + [13401, 0.044], [13402, 0.309], [13404, 0.189], [13405, 0.081], + [13412, 0.136], [13413, 0.164], [13414, 0.199], [13415, 0.19], + [13416, 0.172], [13417, 0.215], [13418, 0.524], [13419, 0.498], + [13420, 0.468], [13421, 0.393], [13422, 0.406], [13423, 0.361], + [13424, 0.219], [13425, 0.104], [13426, 0.152], [13427, 0.149], + [13428, 0.188], [13429, 0.182], [13430, 0.396], [13431, 0.261], + [13432, 0.263], [13433, 0.381], [13434, 0.519], [13435, 0.501], + [13436, 0.231], [13437, 0.243], [13438, 0.311], [13439, 0.474], + [13440, 0.215], [13441, 0.097], [13442, 0.049], [13443, 0.09], + [13444, 0.069], [13445, 0.043], [13446, 0.094], [13447, 0.116], + [13448, 0.022], [13449, 0.049], [13450, 0.046], [13451, 0.024], + [13452, 0.067], [13453, 0.054], [13454, 0.016], [13455, 0.035], + [13456, 0.021], [13457, 0.009], [13458, 0.036], [13459, 0.046], + [13460, 0.009], [13461, 0.021], [13462, 0.005], [13463, 0.002], + [13464, 0.008], [13465, 0.029], [13466, 0.002], [13467, 0.007], + [13468, 0.001], [13470, 0.002], [13471, 0.009], [13485, 0.005], + [13486, 0.013], [13488, 0.001], [13489, 0.005], [13490, 0.008], + [13491, 0.01], [13493, 0.083], [13494, 0.179], [13495, 0.244], + [13496, 0.046], [13497, 0.213], [13498, 0.11], [13499, 0.19], + [13500, 0.416], [13501, 0.05], [13502, 0.023], [13503, 0.021], + [13505, 0.106] + ], + "tongue06.L": [ + [13383, 0.003], [13384, 0.004], [13385, 0.004], [13386, 0.015], + [13387, 0.031], [13388, 0.022], [13389, 0.045], [13390, 0.03], + [13391, 0.052], [13392, 0.041], [13393, 0.059], [13396, 0.009], + [13397, 0.06], [13398, 0.1], [13399, 0.101], [13400, 0.142], + [13401, 0.08], [13402, 0.051], [13519, 0.05], [13520, 0.04], + [13521, 0.027], [13523, 0.146], [13524, 0.238], [13525, 0.19], + [13526, 0.216], [13527, 0.22], [13528, 0.26], [13529, 0.257], + [13530, 0.227], [13531, 0.307], [13532, 0.315], [13533, 0.291], + [13534, 0.216], [13535, 0.241], [13536, 0.299], [13537, 0.271], + [13539, 0.136], [13540, 0.186], [13541, 0.143], [13542, 0.128], + [13543, 0.216], [13544, 0.16], [13545, 0.09], [13546, 0.188], + [13547, 0.209], [13548, 0.12], [13549, 0.209], [13550, 0.119], + [13551, 0.065], [13552, 0.158], [13553, 0.245], [13554, 0.096], + [13555, 0.154], [13556, 0.087], [13557, 0.049], [13558, 0.107], + [13559, 0.175], [13560, 0.068], [13561, 0.118], [13562, 0.039], + [13563, 0.023], [13564, 0.032], [13565, 0.136], [13566, 0.015], + [13567, 0.036], [13568, 0.01], [13569, 0.006], [13570, 0.009], + [13571, 0.039], [13572, 0.008], [13573, 0.024], [13576, 0.001], + [13577, 0.003], [13578, 0.002], [13583, 0.003], [13584, 0.004], + [13585, 0.023], [13586, 0.03], [13587, 0.015], [13588, 0.005], + [13589, 0.033], [13590, 0.049], [13591, 0.057], [13595, 0.016], + [13596, 0.126], [13597, 0.086], [13598, 0.143], [13599, 0.152], + [13600, 0.065], [13601, 0.085], [13602, 0.072], [13603, 0.042] + ], + "tongue06.R": [ + [13383, 0.003], [13384, 0.004], [13385, 0.004], [13386, 0.015], + [13387, 0.031], [13388, 0.022], [13389, 0.045], [13390, 0.03], + [13391, 0.052], [13392, 0.041], [13393, 0.059], [13396, 0.009], + [13397, 0.06], [13398, 0.1], [13399, 0.101], [13400, 0.142], + [13401, 0.08], [13402, 0.051], [13419, 0.05], [13420, 0.04], + [13421, 0.027], [13423, 0.146], [13424, 0.238], [13425, 0.19], + [13426, 0.216], [13427, 0.22], [13428, 0.26], [13429, 0.257], + [13430, 0.227], [13431, 0.307], [13432, 0.315], [13433, 0.291], + [13434, 0.216], [13435, 0.241], [13436, 0.299], [13437, 0.271], + [13439, 0.136], [13440, 0.186], [13441, 0.143], [13442, 0.128], + [13443, 0.216], [13444, 0.16], [13445, 0.09], [13446, 0.188], + [13447, 0.209], [13448, 0.12], [13449, 0.209], [13450, 0.119], + [13451, 0.065], [13452, 0.158], [13453, 0.245], [13454, 0.096], + [13455, 0.154], [13456, 0.087], [13457, 0.049], [13458, 0.107], + [13459, 0.175], [13460, 0.068], [13461, 0.118], [13462, 0.039], + [13463, 0.023], [13464, 0.032], [13465, 0.136], [13466, 0.015], + [13467, 0.036], [13468, 0.01], [13469, 0.006], [13470, 0.009], + [13471, 0.039], [13472, 0.008], [13473, 0.024], [13476, 0.001], + [13477, 0.003], [13478, 0.002], [13483, 0.003], [13484, 0.004], + [13485, 0.023], [13486, 0.03], [13487, 0.015], [13488, 0.005], + [13489, 0.033], [13490, 0.049], [13491, 0.057], [13495, 0.016], + [13496, 0.126], [13497, 0.086], [13498, 0.143], [13499, 0.152], + [13500, 0.065], [13501, 0.085], [13502, 0.072], [13503, 0.042] + ], + "tongue07.L": [ + [13380, 0.003], [13381, 0.038], [13382, 0.003], [13383, 0.089], + [13384, 0.045], [13385, 0.125], [13386, 0.084], [13387, 0.163], + [13388, 0.068], [13389, 0.16], [13390, 0.092], [13391, 0.136], + [13392, 0.079], [13393, 0.095], [13397, 0.009], [13398, 0.033], + [13399, 0.066], [13400, 0.025], [13401, 0.056], [13489, 0.039], + [13490, 0.042], [13512, 0.006], [13513, 0.003], [13514, 0.011], + [13515, 0.005], [13516, 0.011], [13517, 0.022], [13518, 0.022], + [13519, 0.015], [13520, 0.009], [13521, 0.004], [13522, 0.022], + [13523, 0.082], [13524, 0.17], [13525, 0.278], [13526, 0.327], + [13527, 0.414], [13528, 0.394], [13529, 0.391], [13530, 0.143], + [13531, 0.219], [13532, 0.23], [13533, 0.107], [13534, 0.087], + [13535, 0.099], [13536, 0.273], [13537, 0.229], [13538, 0.012], + [13539, 0.041], [13540, 0.125], [13541, 0.216], [13542, 0.35], + [13543, 0.531], [13544, 0.385], [13545, 0.249], [13546, 0.48], + [13547, 0.488], [13548, 0.411], [13549, 0.589], [13550, 0.404], + [13551, 0.262], [13552, 0.519], [13553, 0.519], [13554, 0.437], + [13555, 0.625], [13556, 0.442], [13557, 0.265], [13558, 0.487], + [13559, 0.555], [13560, 0.391], [13561, 0.611], [13562, 0.3], + [13563, 0.207], [13564, 0.24], [13565, 0.487], [13566, 0.301], + [13567, 0.596], [13568, 0.165], [13569, 0.112], [13570, 0.143], + [13571, 0.417], [13572, 0.186], [13573, 0.47], [13574, 0.027], + [13575, 0.014], [13576, 0.039], [13577, 0.259], [13578, 0.135], + [13579, 0.021], [13580, 0.006], [13581, 0.005], [13582, 0.051], + [13583, 0.114], [13584, 0.089], [13585, 0.148], [13586, 0.191], + [13587, 0.172], [13588, 0.186], [13589, 0.247], [13590, 0.289], + [13591, 0.298], [13596, 0.176], [13597, 0.029], [13598, 0.104], + [13599, 0.055], [13601, 0.129], [13602, 0.245], [13603, 0.168] + ], + "tongue07.R": [ + [13380, 0.003], [13381, 0.038], [13382, 0.003], [13383, 0.089], + [13384, 0.045], [13385, 0.125], [13386, 0.084], [13387, 0.163], + [13388, 0.068], [13389, 0.16], [13390, 0.092], [13391, 0.136], + [13392, 0.079], [13393, 0.095], [13397, 0.009], [13398, 0.033], + [13399, 0.066], [13400, 0.025], [13401, 0.056], [13412, 0.006], + [13413, 0.003], [13414, 0.011], [13415, 0.005], [13416, 0.011], + [13417, 0.022], [13418, 0.022], [13419, 0.015], [13420, 0.009], + [13421, 0.004], [13422, 0.022], [13423, 0.082], [13424, 0.17], + [13425, 0.278], [13426, 0.327], [13427, 0.414], [13428, 0.394], + [13429, 0.391], [13430, 0.143], [13431, 0.219], [13432, 0.23], + [13433, 0.107], [13434, 0.087], [13435, 0.099], [13436, 0.273], + [13437, 0.229], [13438, 0.012], [13439, 0.041], [13440, 0.125], + [13441, 0.216], [13442, 0.35], [13443, 0.531], [13444, 0.385], + [13445, 0.249], [13446, 0.48], [13447, 0.488], [13448, 0.411], + [13449, 0.589], [13450, 0.404], [13451, 0.262], [13452, 0.519], + [13453, 0.519], [13454, 0.437], [13455, 0.625], [13456, 0.442], + [13457, 0.265], [13458, 0.487], [13459, 0.555], [13460, 0.391], + [13461, 0.611], [13462, 0.3], [13463, 0.207], [13464, 0.24], + [13465, 0.487], [13466, 0.301], [13467, 0.596], [13468, 0.165], + [13469, 0.112], [13470, 0.143], [13471, 0.417], [13472, 0.186], + [13473, 0.47], [13474, 0.027], [13475, 0.014], [13476, 0.039], + [13477, 0.259], [13478, 0.135], [13479, 0.021], [13480, 0.006], + [13481, 0.005], [13482, 0.051], [13483, 0.114], [13484, 0.089], + [13485, 0.148], [13486, 0.191], [13487, 0.172], [13488, 0.186], + [13489, 0.247], [13490, 0.289], [13491, 0.298], [13496, 0.176], + [13497, 0.029], [13498, 0.104], [13499, 0.055], [13501, 0.129], + [13502, 0.245], [13503, 0.168], [13589, 0.039], [13590, 0.042] + ], + "upperarm01.L": [ + [1400, 0.004], [1401, 0.003], [1402, 0.001], [1596, 0.005], + [1597, 0.008], [1598, 0.009], [1599, 0.007], [1600, 0.004], + [3780, 0.01], [3843, 0.01], [3932, 0.002], [7469, 0.001], + [7471, 0.002], [7473, 0.004], [7475, 0.008], [7476, 0.012], + [7477, 0.016], [7478, 0.025], [7479, 0.032], [7484, 0.002], + [7486, 0.003], [7488, 0.006], [7489, 0.005], [7490, 0.012], + [7491, 0.011], [7492, 0.024], [7493, 0.022], [7495, 0.004], + [7496, 0.008], [7497, 0.016], [7498, 0.033], [7512, 0.002], + [7517, 0.003], [7522, 0.006], [7527, 0.013], [7528, 0.001], + [7529, 0.002], [7530, 0.004], [7531, 0.008], [7532, 0.017], + [7533, 0.033], [7536, 0.002], [7537, 0.003], [7538, 0.007], + [7539, 0.014], [7543, 0.001], [7544, 0.002], [7545, 0.005], + [7551, 0.002], [7630, 0.003], [7631, 0.007], [7632, 0.014], + [7633, 0.027], [7725, 0.001], [7727, 0.002], [7728, 0.002], + [8047, 0.782], [8048, 0.746], [8049, 0.677], [8050, 0.546], + [8051, 0.431], [8052, 0.343], [8053, 0.331], [8054, 0.26], + [8055, 0.189], [8056, 0.13], [8057, 0.581], [8058, 0.694], + [8059, 0.742], [8060, 0.394], [8061, 0.331], [8062, 0.338], + [8063, 0.327], [8064, 0.247], [8065, 0.166], [8066, 0.116], + [8067, 0.396], [8068, 0.463], [8069, 0.608], [8070, 0.285], + [8071, 0.246], [8072, 0.249], [8073, 0.242], [8074, 0.181], + [8075, 0.12], [8076, 0.061], [8077, 0.302], [8078, 0.349], + [8079, 0.438], [8080, 0.208], [8081, 0.118], [8082, 0.029], + [8083, 0.059], [8084, 0.04], [8085, 0.02], [8086, 0.005], + [8087, 0.202], [8088, 0.235], [8089, 0.269], [8090, 0.13], + [8091, 0.079], [8092, 0.592], [8093, 0.577], [8094, 0.589], + [8095, 0.653], [8096, 0.654], [8097, 0.498], [8098, 0.296], + [8099, 0.207], [8100, 0.118], [8101, 0.057], [8102, 0.302], + [8103, 0.364], [8104, 0.368], [8105, 0.389], [8106, 0.384], + [8107, 0.312], [8108, 0.111], [8109, 0.081], [8110, 0.05], + [8111, 0.02], [8112, 0.198], [8113, 0.336], [8114, 0.317], + [8115, 0.3], [8116, 0.292], [8117, 0.235], [8118, 0.786], + [8119, 0.722], [8120, 0.683], [8121, 0.612], [8122, 0.56], + [8123, 0.414], [8124, 0.321], [8125, 0.255], [8126, 0.189], + [8127, 0.122], [8128, 0.428], [8129, 0.424], [8130, 0.453], + [8131, 0.536], [8132, 0.591], [8133, 0.437], [8134, 0.169], + [8135, 0.117], [8136, 0.065], [8137, 0.03], [8138, 0.723], + [8139, 0.734], [8140, 0.596], [8141, 0.417], [8142, 0.237], + [8143, 0.625], [8144, 0.331], [8145, 0.218], [8146, 0.749], + [8147, 0.439], [8148, 0.018], [8149, 0.009], [8150, 0.07], + [8151, 0.079], [8152, 0.06], [8153, 0.005], [8155, 0.012], + [8156, 0.019], [8157, 0.029], [8158, 0.027], [8160, 0.003], + [8161, 0.02], [8162, 0.005], [8163, 0.008], [8164, 0.076], + [8165, 0.142], [8166, 0.234], [8167, 0.291], [8168, 0.297], + [8169, 0.183], [8170, 0.187], [8171, 0.152], [8172, 0.101], + [8173, 0.043], [8174, 0.014], [8175, 0.009], [8176, 0.005], + [8183, 0.004], [8184, 0.012], [8185, 0.035], [8186, 0.004], + [8187, 0.075], [8188, 0.084], [8189, 0.064], [8190, 0.007], + [8191, 0.015], [8192, 0.014], [8193, 0.04], [8194, 0.004], + [8195, 0.043], [8196, 0.053], [8197, 0.089], [8198, 0.014], + [8199, 0.056], [8200, 0.028], [8201, 0.126], [8202, 0.138], + [8203, 0.135], [8204, 0.144], [8206, 0.007], [8207, 0.01], + [8208, 0.007], [8209, 0.01], [8210, 0.005], [8211, 0.001], + [8212, 0.003], [8213, 0.01], [8214, 0.02], [8215, 0.03], + [8216, 0.014], [8217, 0.012], [8219, 0.02], [8220, 0.034], + [8221, 0.058], [8222, 0.114], [8223, 0.221], [8224, 0.396], + [8225, 0.438], [8226, 0.453], [8227, 0.019], [8229, 0.028], + [8230, 0.049], [8231, 0.087], [8232, 0.152], [8233, 0.299], + [8234, 0.557], [8235, 0.584], [8236, 0.61], [8237, 0.194], + [8238, 0.12], [8239, 0.094], [8240, 0.02], [8241, 0.024], + [8242, 0.029], [8243, 0.129], [8244, 0.063], [8245, 0.053], + [8246, 0.014], [8247, 0.015], [8248, 0.016], [8249, 0.057], + [8250, 0.046], [8251, 0.036], [8252, 0.027], [8253, 0.024], + [8254, 0.022], [8255, 0.034], [8256, 0.033], [8257, 0.036], + [8258, 0.034], [8259, 0.029], [8260, 0.024], [8261, 0.03], + [8262, 0.032], [8263, 0.032], [8264, 0.031], [8265, 0.024], + [8266, 0.017], [8268, 0.011], [8269, 0.017], [8270, 0.018], + [8271, 0.013], [8272, 0.008], [8273, 0.427], [8274, 0.636], + [8275, 0.688], [8276, 0.714], [8277, 0.509], [8278, 0.661], + [8279, 0.725], [8280, 0.797], [8281, 0.264], [8282, 0.179], + [8283, 0.2], [8284, 0.166], [8285, 0.124], [8286, 0.086], + [8287, 0.573], [8288, 0.673], [8289, 0.728], [8290, 0.756], + [8291, 0.389], [8292, 0.259], [8293, 0.13], [8294, 0.174], + [8295, 0.1], [8296, 0.053], [8297, 0.609], [8298, 0.647], + [8299, 0.711], [8300, 0.634], [8301, 0.63], [8302, 0.618], + [8303, 0.318], [8304, 0.31], [8305, 0.094], [8306, 0.058], + [8307, 0.606], [8308, 0.648], [8309, 0.616], [8310, 0.477], + [8311, 0.639], [8312, 0.625], [8313, 0.321], [8314, 0.332], + [8315, 0.357], [8316, 0.497], [8317, 0.589], [8318, 0.482], + [8319, 0.348], [8320, 0.581], [8321, 0.578], [8322, 0.295], + [8323, 0.266], [8324, 0.276], [8325, 0.347], [8326, 0.422], + [8327, 0.5], [8328, 0.35], [8329, 0.226], [8330, 0.377], + [8331, 0.354], [8332, 0.228], [8333, 0.191], [8334, 0.199], + [8335, 0.445], [8336, 0.294], [8337, 0.129], [8338, 0.275], + [8339, 0.469], [8340, 0.248], [8341, 0.717], [8342, 0.738], + [8343, 0.635], [8344, 0.604], [8345, 0.571], [8346, 0.68], + [8347, 0.715], [8348, 0.719], [8349, 0.283], [8350, 0.434], + [8351, 0.625], [8352, 0.641], [8353, 0.743], [8354, 0.112], + [8355, 0.17], [8356, 0.227], [8357, 0.465], [8358, 0.423], + [8359, 0.398], [8360, 0.278], [8361, 0.379], [8362, 0.031], + [8363, 0.041], [8364, 0.065], [8365, 0.09], [8366, 0.102], + [8367, 0.169], [8368, 0.176], [8369, 0.195], [8370, 0.199], + [8371, 0.156], [8372, 0.12], [8373, 0.22], [8374, 0.252], + [8375, 0.223], [8376, 0.116], [8377, 0.249], [8378, 0.235], + [8379, 0.171], [8380, 0.126], [8381, 0.125], [8382, 0.21], + [8383, 0.043], [8384, 0.064], [8385, 0.073], [8386, 0.094], + [8387, 0.104], [8388, 0.07], [8389, 0.048], [8390, 0.136], + [8391, 0.153], [8392, 0.135], [8393, 0.051], [8394, 0.15], + [8395, 0.138], [8396, 0.115], [8397, 0.059], [8398, 0.052], + [8399, 0.12], [8400, 0.021], [8401, 0.033], [8402, 0.036], + [8403, 0.045], [8404, 0.049], [8405, 0.033], [8406, 0.024], + [8407, 0.071], [8408, 0.081], [8409, 0.067], [8410, 0.025], + [8411, 0.081], [8412, 0.073], [8413, 0.073], [8414, 0.038], + [8415, 0.026], [8416, 0.061], [8417, 0.01], [8418, 0.016], + [8419, 0.019], [8420, 0.023], [8421, 0.025], [8422, 0.017], + [8423, 0.012], [8424, 0.034], [8425, 0.038], [8426, 0.03], + [8427, 0.012], [8428, 0.039], [8429, 0.035], [8430, 0.036], + [8431, 0.019], [8432, 0.013], [8433, 0.03], [8510, 0.004], + [8511, 0.007], [8512, 0.014], [8525, 0.01], [8526, 0.026], + [8527, 0.042], [8528, 0.065], [8529, 0.04], [8530, 0.024], + [8541, 0.012], [8542, 0.045], [8543, 0.076], [8544, 0.098], + [8545, 0.072], [10355, 0.057], [10356, 0.02], [10357, 0.01], + [10358, 0.005], [10359, 0.002], [10360, 0.001], [10418, 0.108], + [10419, 0.166], [10420, 0.255], [10421, 0.34], [10422, 0.488], + [10423, 0.611], [10424, 0.648], [10425, 0.661], [10426, 0.621], + [10427, 0.495], [10428, 0.379], [10429, 0.309], [10430, 0.185], + [10431, 0.084], [10432, 0.04], [10433, 0.021], [10441, 0.071], + [10442, 0.052], [10443, 0.028], [10444, 0.034], [10445, 0.031], + [10446, 0.02], [10447, 0.193], [10448, 0.412], [10449, 0.361], + [10450, 0.297], [10451, 0.24], [10452, 0.299], [10453, 0.105], + [10454, 0.176], [10455, 0.105], [10456, 0.066], [10457, 0.034], + [10503, 0.028], [10504, 0.023], [10505, 0.027], [10506, 0.032], + [10507, 0.031], [10508, 0.021], [10509, 0.175], [10510, 0.365], + [10511, 0.342], [10512, 0.304], [10513, 0.239], [10514, 0.271], + [10515, 0.177], [10516, 0.105], [10517, 0.063], [10518, 0.032], + [10536, 0.082], [10588, 0.028], [10589, 0.005], [10590, 0.008], + [10591, 0.029], [10592, 0.018], [10593, 0.02], [10594, 0.015], + [10595, 0.01], [10596, 0.003], [10597, 0.056], [10598, 0.034], + [10599, 0.009], [10600, 0.009], [10601, 0.013], [10604, 0.023], + [10605, 0.02], [10606, 0.015], [10607, 0.007], [10608, 0.004], + [10610, 0.025], [10611, 0.016], [10613, 0.007], [10617, 0.012], + [10618, 0.009], [10619, 0.007], [10623, 0.011], [10624, 0.003], + [10626, 0.006], [10719, 0.071], [10720, 0.037], [10721, 0.007], + [16860, 0.334], [16861, 0.298], [16862, 0.195], [16863, 0.168], + [16865, 0.128], [16866, 0.084], [16867, 0.192], [16868, 0.244], + [16869, 0.148], [16870, 0.156], [16872, 0.119], [16873, 0.067], + [16874, 0.139], [16875, 0.159], [16876, 0.099], [16877, 0.097], + [16879, 0.082], [16880, 0.041], [16881, 0.099], [16882, 0.103], + [16883, 0.045], [16884, 0.016], [16885, 0.016], [16886, 0.007], + [16887, 0.01], [16888, 0.004], [16889, 0.013], [16890, 0.009], + [16892, 0.16], [16893, 0.178], [16894, 0.171], [16895, 0.082], + [16896, 0.126], [16897, 0.111], [16898, 0.372], [16899, 0.364], + [16900, 0.253], [16901, 0.175], [16903, 0.124], [16904, 0.09], + [16905, 0.273], [16906, 0.242], [16907, 0.26], [16908, 0.139], + [16910, 0.075], [16911, 0.047], [16913, 0.009], [16914, 0.005], + [16916, 0.001], [16917, 0.001], [16918, 0.002], [16920, 0.032], + [16921, 0.06], [16922, 0.102], [16923, 0.12], [16925, 0.066], + [16926, 0.11], [16927, 0.164], [16928, 0.168], [16929, 0.065], + [16930, 0.01], [16931, 0.012], [16932, 0.049], [16933, 0.009], + [16934, 0.009], [16935, 0.026], [16936, 0.015], [16937, 0.013], + [16938, 0.016], [16939, 0.016], [16940, 0.012], [16941, 0.002], + [16942, 0.004], [16943, 0.003], [16944, 0.127], [16945, 0.199], + [16946, 0.242], [16947, 0.245], [16948, 0.189], [16949, 0.286], + [16950, 0.322], [16951, 0.333], [16952, 0.002], [16953, 0.091], + [16954, 0.072], [16955, 0.037], [16956, 0.229], [16957, 0.315], + [16958, 0.362], [16959, 0.393], [16960, 0.138], [16962, 0.153], + [16963, 0.042], [16964, 0.03], [16965, 0.309], [16966, 0.321], + [16967, 0.332], [16968, 0.285], [16969, 0.31], [16971, 0.158], + [16972, 0.185], [16973, 0.241], [16974, 0.278], [16975, 0.233], + [16976, 0.171], [16977, 0.247], [16978, 0.125], [16979, 0.134], + [16980, 0.148], [16981, 0.169], [16982, 0.143], [16983, 0.084], + [16984, 0.137], [16985, 0.084], [16986, 0.091], [16987, 0.153], + [16990, 0.272], [16991, 0.361], [16992, 0.374], [16993, 0.315], + [16994, 0.3], [16995, 0.354], [16996, 0.372], [16998, 0.152], + [16999, 0.315], [17000, 0.075], [17001, 0.107], [17002, 0.028], + [17003, 0.037], [17005, 0.036], [17006, 0.046], [17007, 0.056], + [17008, 0.082], [17009, 0.088], [17010, 0.079], [17011, 0.036], + [17012, 0.08], [17014, 0.037], [17015, 0.04], [17016, 0.013], + [17017, 0.018], [17018, 0.023], [17019, 0.042], [17020, 0.044], + [17021, 0.042], [17022, 0.014], [17023, 0.04], [17025, 0.02], + [17026, 0.017], [17027, 0.006], [17028, 0.008], [17029, 0.011], + [17030, 0.018], [17031, 0.021], [17032, 0.017], [17033, 0.007], + [17034, 0.017], [17035, 0.007], [17036, 0.006], [17038, 0.002], + [17039, 0.004], [17040, 0.008], [17041, 0.01], [17042, 0.004], + [17043, 0.002], [17045, 0.003], [17046, 0.019], [17047, 0.014], + [17048, 0.015], [17049, 0.001], [17057, 0.005], [17058, 0.06], + [17059, 0.058], [17060, 0.036], [17062, 0.071], [17063, 0.031], + [17064, 0.064], [17098, 0.019], [17109, 0.039], [17120, 0.034], + [17132, 0.041], [17155, 0.001], [17165, 0.012], [17167, 0.006], + [17188, 0.008], [17193, 0.074], [17194, 0.117], [17195, 0.16], + [17196, 0.235], [17197, 0.304], [17198, 0.329], [17199, 0.258], + [17200, 0.176], [17201, 0.116], [17202, 0.054], [17203, 0.023], + [17204, 0.01], [17209, 0.019], [17210, 0.016], [17211, 0.015], + [17212, 0.016], [17213, 0.005], [17215, 0.024], [17216, 0.036], + [17217, 0.003], [17218, 0.038], [17222, 0.091], [17223, 0.072], + [17224, 0.053], [17225, 0.009], [17226, 0.004], [17227, 0.016], + [17228, 0.019], [17229, 0.024], [17230, 0.04], [17231, 0.057], + [17235, 0.177], [17236, 0.138], [17237, 0.104], [17238, 0.182], + [17239, 0.057], [17240, 0.033], [17241, 0.015], [17261, 0.023], + [17262, 0.014], [17263, 0.009], [17264, 0.011], [17265, 0.008], + [17266, 0.002], [17267, 0.02], [17268, 0.016], [17269, 0.014], + [17271, 0.004], [17272, 0.002], [17277, 0.002], [17317, 0.049], + [17318, 0.002], [17764, 0.056], [17766, 0.012], [17767, 0.015], + [17768, 0.08], [17769, 0.065], [17770, 0.039], [17771, 0.017], + [17784, 0.001], [17789, 0.007], [17790, 0.01], [17791, 0.11], + [17792, 0.001], [17793, 0.003], [17794, 0.007], [17795, 0.005], + [17799, 0.004], [17809, 0.008], [17810, 0.005], [17811, 0.004], + [17812, 0.006], [17815, 0.001], [17816, 0.01], [17824, 0.005], + [17828, 0.009], [17829, 0.01], [17830, 0.009], [17831, 0.006], + [17832, 0.004], [17833, 0.002], [17863, 0.006], [17864, 0.002], + [17865, 0.004], [17866, 0.004], [17867, 0.012], [17868, 0.009], + [17869, 0.006], [17870, 0.003], [17876, 0.019], [17877, 0.022], + [17878, 0.03], [17879, 0.016], [17883, 0.006], [17884, 0.008], + [17885, 0.018], [17886, 0.008], [17889, 0.002], [17890, 0.003], + [17891, 0.006], [17892, 0.002], [17897, 0.003], [17913, 0.019], + [17914, 0.038], [17915, 0.035], [17918, 0.007], [17919, 0.016], + [17920, 0.02], [17937, 0.029], [17938, 0.042], [17939, 0.032], + [17940, 0.017], [17941, 0.023], [17942, 0.016], [17943, 0.01], + [17944, 0.013], [17945, 0.007], [17947, 0.007], [17950, 0.005], + [18774, 0.068], [18775, 0.104], [18776, 0.116], [18777, 0.198], + [18778, 0.111], [18779, 0.236], [18780, 0.011], [18781, 0.045], + [18821, 0.027], [18823, 0.056], [18824, 0.066], [18825, 0.123], + [18826, 0.145], [18827, 0.198], [18828, 0.088], [18829, 0.158], + [18830, 0.05], [18831, 0.132], [18833, 0.037], [18835, 0.016], + [18854, 0.042], [18856, 0.125], [18857, 0.009], [18858, 0.183], + [18859, 0.044], [18860, 0.223], [18861, 0.107], [18862, 0.171], + [18863, 0.119], [18864, 0.041], [18865, 0.016], [18888, 0.001], + [18890, 0.006], [18892, 0.021], [18894, 0.023], [18920, 0.008], + [18921, 0.002], [18922, 0.038], [18923, 0.007], [18924, 0.107], + [18925, 0.023], [18926, 0.109], [18927, 0.025], [18928, 0.017], + [18988, 0.068], [18989, 0.104], [18990, 0.116], [18991, 0.198], + [19035, 0.027], [19037, 0.056], [19038, 0.066], [19039, 0.123], + [19040, 0.145], [19041, 0.198], [19042, 0.088], [19043, 0.158], + [19068, 0.042], [19070, 0.125], [19071, 0.009], [19102, 0.001], + [19134, 0.008], [19135, 0.002] + ], + "upperarm01.R": [ + [750, 0.001], [752, 0.002], [754, 0.004], [756, 0.008], + [757, 0.012], [758, 0.016], [759, 0.025], [760, 0.032], + [765, 0.002], [767, 0.003], [769, 0.006], [770, 0.005], + [771, 0.012], [772, 0.011], [773, 0.024], [774, 0.022], + [776, 0.004], [777, 0.008], [778, 0.016], [779, 0.033], + [798, 0.002], [804, 0.003], [810, 0.006], [816, 0.013], + [817, 0.001], [818, 0.002], [819, 0.004], [820, 0.008], + [821, 0.017], [822, 0.033], [825, 0.002], [826, 0.003], + [827, 0.007], [828, 0.014], [832, 0.001], [833, 0.002], + [834, 0.005], [840, 0.002], [928, 0.003], [929, 0.007], + [930, 0.014], [931, 0.027], [1033, 0.001], [1035, 0.002], + [1036, 0.002], [1355, 0.782], [1356, 0.746], [1357, 0.677], + [1358, 0.546], [1359, 0.431], [1360, 0.343], [1361, 0.331], + [1362, 0.26], [1363, 0.189], [1364, 0.13], [1365, 0.581], + [1366, 0.694], [1367, 0.742], [1368, 0.394], [1369, 0.331], + [1370, 0.338], [1371, 0.327], [1372, 0.247], [1373, 0.166], + [1374, 0.116], [1375, 0.396], [1376, 0.463], [1377, 0.608], + [1378, 0.285], [1379, 0.246], [1380, 0.249], [1381, 0.242], + [1382, 0.181], [1383, 0.12], [1384, 0.061], [1385, 0.302], + [1386, 0.349], [1387, 0.438], [1388, 0.208], [1389, 0.118], + [1390, 0.029], [1391, 0.059], [1392, 0.04], [1393, 0.02], + [1394, 0.005], [1395, 0.202], [1396, 0.235], [1397, 0.269], + [1398, 0.13], [1400, 0.004], [1401, 0.003], [1402, 0.001], + [1403, 0.079], [1404, 0.592], [1405, 0.577], [1406, 0.589], + [1407, 0.653], [1408, 0.654], [1409, 0.498], [1410, 0.296], + [1411, 0.207], [1412, 0.118], [1413, 0.057], [1414, 0.302], + [1415, 0.364], [1416, 0.368], [1417, 0.389], [1418, 0.384], + [1419, 0.312], [1420, 0.111], [1421, 0.081], [1422, 0.05], + [1423, 0.02], [1424, 0.198], [1425, 0.336], [1426, 0.317], + [1427, 0.3], [1428, 0.292], [1429, 0.235], [1430, 0.786], + [1431, 0.722], [1432, 0.683], [1433, 0.612], [1434, 0.56], + [1435, 0.414], [1436, 0.321], [1437, 0.255], [1438, 0.189], + [1439, 0.122], [1440, 0.428], [1441, 0.424], [1442, 0.453], + [1443, 0.536], [1444, 0.591], [1445, 0.437], [1446, 0.169], + [1447, 0.117], [1448, 0.065], [1449, 0.03], [1450, 0.723], + [1451, 0.734], [1452, 0.596], [1453, 0.417], [1454, 0.237], + [1455, 0.625], [1456, 0.331], [1457, 0.218], [1458, 0.749], + [1459, 0.439], [1460, 0.018], [1461, 0.009], [1462, 0.07], + [1463, 0.079], [1464, 0.06], [1465, 0.005], [1468, 0.012], + [1469, 0.019], [1470, 0.029], [1471, 0.027], [1474, 0.003], + [1475, 0.02], [1476, 0.005], [1477, 0.008], [1478, 0.076], + [1479, 0.142], [1480, 0.234], [1481, 0.291], [1482, 0.297], + [1483, 0.183], [1484, 0.187], [1485, 0.152], [1486, 0.101], + [1487, 0.043], [1488, 0.014], [1489, 0.009], [1490, 0.005], + [1499, 0.004], [1500, 0.012], [1501, 0.035], [1502, 0.004], + [1503, 0.075], [1504, 0.084], [1505, 0.064], [1506, 0.007], + [1507, 0.015], [1508, 0.014], [1509, 0.04], [1510, 0.004], + [1511, 0.043], [1512, 0.053], [1513, 0.089], [1514, 0.014], + [1515, 0.056], [1516, 0.028], [1517, 0.126], [1518, 0.138], + [1519, 0.135], [1520, 0.144], [1523, 0.007], [1525, 0.01], + [1527, 0.007], [1529, 0.01], [1530, 0.005], [1531, 0.001], + [1532, 0.003], [1533, 0.01], [1534, 0.02], [1535, 0.03], + [1536, 0.014], [1537, 0.012], [1540, 0.02], [1541, 0.034], + [1542, 0.058], [1543, 0.114], [1544, 0.221], [1545, 0.396], + [1546, 0.438], [1547, 0.453], [1548, 0.019], [1551, 0.028], + [1552, 0.049], [1553, 0.087], [1554, 0.152], [1555, 0.299], + [1556, 0.557], [1557, 0.584], [1558, 0.61], [1559, 0.194], + [1560, 0.12], [1561, 0.094], [1562, 0.02], [1563, 0.024], + [1564, 0.029], [1565, 0.129], [1566, 0.063], [1567, 0.053], + [1568, 0.014], [1569, 0.015], [1570, 0.016], [1571, 0.057], + [1572, 0.046], [1573, 0.036], [1574, 0.027], [1575, 0.024], + [1576, 0.022], [1577, 0.034], [1578, 0.033], [1579, 0.036], + [1580, 0.034], [1581, 0.029], [1582, 0.024], [1583, 0.03], + [1584, 0.032], [1585, 0.032], [1586, 0.031], [1587, 0.024], + [1588, 0.017], [1590, 0.011], [1591, 0.017], [1592, 0.018], + [1593, 0.013], [1594, 0.008], [1596, 0.005], [1597, 0.008], + [1598, 0.009], [1599, 0.007], [1600, 0.004], [1601, 0.427], + [1602, 0.636], [1603, 0.688], [1604, 0.714], [1605, 0.509], + [1606, 0.661], [1607, 0.725], [1608, 0.797], [1609, 0.264], + [1610, 0.179], [1611, 0.2], [1612, 0.166], [1613, 0.124], + [1614, 0.086], [1615, 0.573], [1616, 0.673], [1617, 0.728], + [1618, 0.756], [1619, 0.389], [1620, 0.259], [1621, 0.13], + [1622, 0.174], [1623, 0.1], [1624, 0.053], [1625, 0.609], + [1626, 0.647], [1627, 0.711], [1628, 0.634], [1629, 0.63], + [1630, 0.618], [1631, 0.318], [1632, 0.31], [1633, 0.094], + [1634, 0.058], [1635, 0.606], [1636, 0.648], [1637, 0.616], + [1638, 0.477], [1639, 0.639], [1640, 0.625], [1641, 0.321], + [1642, 0.332], [1643, 0.357], [1644, 0.497], [1645, 0.589], + [1646, 0.482], [1647, 0.348], [1648, 0.581], [1649, 0.578], + [1650, 0.295], [1651, 0.266], [1652, 0.276], [1653, 0.347], + [1654, 0.422], [1655, 0.5], [1656, 0.35], [1657, 0.226], + [1658, 0.377], [1659, 0.354], [1660, 0.228], [1661, 0.191], + [1662, 0.199], [1663, 0.445], [1664, 0.294], [1665, 0.129], + [1666, 0.275], [1667, 0.469], [1668, 0.248], [1669, 0.717], + [1670, 0.738], [1671, 0.635], [1672, 0.604], [1673, 0.571], + [1674, 0.68], [1675, 0.715], [1676, 0.719], [1677, 0.283], + [1678, 0.434], [1679, 0.625], [1680, 0.641], [1681, 0.743], + [1682, 0.112], [1683, 0.17], [1684, 0.227], [1685, 0.465], + [1686, 0.423], [1687, 0.398], [1688, 0.278], [1689, 0.379], + [1690, 0.031], [1691, 0.041], [1692, 0.065], [1693, 0.09], + [1694, 0.102], [1695, 0.169], [1696, 0.176], [1697, 0.195], + [1698, 0.199], [1699, 0.156], [1700, 0.12], [1701, 0.22], + [1702, 0.252], [1703, 0.223], [1704, 0.116], [1705, 0.249], + [1706, 0.235], [1707, 0.171], [1708, 0.126], [1709, 0.125], + [1710, 0.21], [1711, 0.043], [1712, 0.064], [1713, 0.073], + [1714, 0.094], [1715, 0.104], [1716, 0.07], [1717, 0.048], + [1718, 0.136], [1719, 0.153], [1720, 0.135], [1721, 0.051], + [1722, 0.15], [1723, 0.138], [1724, 0.115], [1725, 0.059], + [1726, 0.052], [1727, 0.12], [1728, 0.021], [1729, 0.033], + [1730, 0.036], [1731, 0.045], [1732, 0.049], [1733, 0.033], + [1734, 0.024], [1735, 0.071], [1736, 0.081], [1737, 0.067], + [1738, 0.025], [1739, 0.081], [1740, 0.073], [1741, 0.073], + [1742, 0.038], [1743, 0.026], [1744, 0.061], [1745, 0.01], + [1746, 0.016], [1747, 0.019], [1748, 0.023], [1749, 0.025], + [1750, 0.017], [1751, 0.012], [1752, 0.034], [1753, 0.038], + [1754, 0.03], [1755, 0.012], [1756, 0.039], [1757, 0.035], + [1758, 0.036], [1759, 0.019], [1760, 0.013], [1761, 0.03], + [1838, 0.004], [1839, 0.007], [1840, 0.014], [1853, 0.01], + [1854, 0.026], [1855, 0.042], [1856, 0.065], [1857, 0.04], + [1858, 0.024], [1869, 0.012], [1870, 0.045], [1871, 0.076], + [1872, 0.098], [1873, 0.072], [3687, 0.057], [3688, 0.02], + [3689, 0.01], [3690, 0.005], [3691, 0.002], [3692, 0.001], + [3751, 0.108], [3752, 0.166], [3753, 0.255], [3754, 0.34], + [3755, 0.488], [3756, 0.611], [3757, 0.648], [3758, 0.661], + [3759, 0.621], [3760, 0.495], [3761, 0.379], [3762, 0.309], + [3763, 0.185], [3764, 0.084], [3765, 0.04], [3766, 0.021], + [3774, 0.071], [3775, 0.052], [3776, 0.028], [3777, 0.034], + [3778, 0.031], [3779, 0.02], [3780, 0.01], [3781, 0.193], + [3782, 0.412], [3783, 0.361], [3784, 0.297], [3785, 0.24], + [3786, 0.299], [3787, 0.105], [3788, 0.176], [3789, 0.105], + [3790, 0.066], [3791, 0.034], [3837, 0.028], [3838, 0.023], + [3839, 0.027], [3840, 0.032], [3841, 0.031], [3842, 0.021], + [3843, 0.01], [3844, 0.175], [3845, 0.365], [3846, 0.342], + [3847, 0.304], [3848, 0.239], [3849, 0.271], [3850, 0.177], + [3851, 0.105], [3852, 0.063], [3853, 0.032], [3871, 0.082], + [3923, 0.028], [3924, 0.005], [3925, 0.008], [3926, 0.029], + [3927, 0.018], [3928, 0.02], [3929, 0.015], [3930, 0.01], + [3931, 0.003], [3932, 0.002], [3933, 0.056], [3934, 0.034], + [3935, 0.009], [3936, 0.009], [3937, 0.013], [3940, 0.023], + [3941, 0.02], [3942, 0.015], [3943, 0.007], [3944, 0.004], + [3947, 0.025], [3948, 0.016], [3950, 0.007], [3954, 0.012], + [3955, 0.009], [3956, 0.007], [3961, 0.011], [3962, 0.003], + [3964, 0.006], [4064, 0.071], [4065, 0.037], [4066, 0.007], + [15556, 0.334], [15557, 0.298], [15558, 0.195], [15559, 0.168], + [15561, 0.128], [15562, 0.084], [15563, 0.192], [15564, 0.244], + [15565, 0.148], [15566, 0.156], [15568, 0.119], [15569, 0.067], + [15570, 0.139], [15571, 0.159], [15572, 0.099], [15573, 0.097], + [15575, 0.082], [15576, 0.041], [15577, 0.099], [15578, 0.103], + [15579, 0.045], [15580, 0.016], [15581, 0.016], [15582, 0.007], + [15583, 0.01], [15584, 0.004], [15585, 0.013], [15586, 0.009], + [15588, 0.16], [15589, 0.178], [15590, 0.171], [15591, 0.082], + [15592, 0.126], [15593, 0.111], [15594, 0.372], [15595, 0.364], + [15596, 0.253], [15597, 0.175], [15599, 0.124], [15600, 0.09], + [15601, 0.273], [15602, 0.242], [15603, 0.26], [15604, 0.139], + [15606, 0.075], [15607, 0.047], [15608, 0.009], [15609, 0.005], + [15611, 0.032], [15612, 0.06], [15613, 0.102], [15614, 0.12], + [15616, 0.066], [15617, 0.11], [15618, 0.164], [15619, 0.168], + [15620, 0.065], [15621, 0.01], [15622, 0.012], [15623, 0.049], + [15624, 0.009], [15625, 0.009], [15626, 0.026], [15627, 0.015], + [15628, 0.013], [15629, 0.016], [15630, 0.016], [15631, 0.012], + [15632, 0.127], [15633, 0.199], [15634, 0.242], [15635, 0.245], + [15636, 0.189], [15637, 0.286], [15638, 0.322], [15639, 0.333], + [15640, 0.002], [15641, 0.091], [15642, 0.072], [15643, 0.037], + [15644, 0.229], [15645, 0.315], [15646, 0.362], [15647, 0.393], + [15648, 0.138], [15650, 0.153], [15651, 0.042], [15652, 0.03], + [15653, 0.309], [15654, 0.321], [15655, 0.332], [15656, 0.285], + [15657, 0.31], [15659, 0.158], [15660, 0.185], [15661, 0.241], + [15662, 0.278], [15663, 0.233], [15664, 0.171], [15665, 0.247], + [15666, 0.125], [15667, 0.134], [15668, 0.148], [15669, 0.169], + [15670, 0.143], [15671, 0.084], [15672, 0.137], [15673, 0.084], + [15674, 0.091], [15675, 0.153], [15678, 0.272], [15679, 0.361], + [15680, 0.374], [15681, 0.315], [15682, 0.3], [15683, 0.354], + [15684, 0.372], [15686, 0.152], [15687, 0.315], [15688, 0.075], + [15689, 0.107], [15690, 0.028], [15691, 0.037], [15693, 0.036], + [15694, 0.046], [15695, 0.056], [15696, 0.082], [15697, 0.088], + [15698, 0.079], [15699, 0.036], [15700, 0.08], [15702, 0.037], + [15703, 0.04], [15704, 0.013], [15705, 0.018], [15706, 0.023], + [15707, 0.042], [15708, 0.044], [15709, 0.042], [15710, 0.014], + [15711, 0.04], [15713, 0.02], [15714, 0.017], [15715, 0.006], + [15716, 0.008], [15717, 0.011], [15718, 0.018], [15719, 0.021], + [15720, 0.017], [15721, 0.007], [15722, 0.017], [15723, 0.007], + [15724, 0.006], [15725, 0.002], [15726, 0.004], [15727, 0.008], + [15728, 0.01], [15729, 0.004], [15730, 0.002], [15732, 0.003], + [15733, 0.019], [15734, 0.014], [15735, 0.015], [15736, 0.001], + [15742, 0.005], [15743, 0.06], [15744, 0.058], [15745, 0.036], + [15746, 0.071], [15747, 0.031], [15748, 0.064], [15781, 0.019], + [15792, 0.039], [15803, 0.034], [15815, 0.041], [15838, 0.001], + [15848, 0.012], [15850, 0.006], [15871, 0.008], [15876, 0.074], + [15877, 0.117], [15878, 0.16], [15879, 0.235], [15880, 0.304], + [15881, 0.329], [15882, 0.258], [15883, 0.176], [15884, 0.116], + [15885, 0.054], [15886, 0.023], [15887, 0.01], [15892, 0.019], + [15893, 0.016], [15894, 0.015], [15895, 0.016], [15897, 0.024], + [15898, 0.036], [15899, 0.003], [15900, 0.038], [15904, 0.091], + [15905, 0.072], [15906, 0.053], [15907, 0.009], [15908, 0.016], + [15909, 0.019], [15910, 0.024], [15911, 0.04], [15912, 0.057], + [15916, 0.177], [15917, 0.138], [15918, 0.104], [15919, 0.182], + [15920, 0.057], [15921, 0.033], [15922, 0.015], [15942, 0.023], + [15943, 0.014], [15944, 0.009], [15945, 0.011], [15946, 0.008], + [15947, 0.02], [15948, 0.016], [15949, 0.014], [15951, 0.004], + [15952, 0.002], [15957, 0.002], [15995, 0.049], [15996, 0.002], + [16434, 0.056], [16435, 0.012], [16436, 0.015], [16437, 0.08], + [16438, 0.065], [16439, 0.039], [16440, 0.017], [16452, 0.001], + [16457, 0.007], [16458, 0.01], [16459, 0.11], [16460, 0.001], + [16461, 0.003], [16462, 0.007], [16463, 0.005], [16467, 0.004], + [16475, 0.008], [16476, 0.005], [16477, 0.004], [16478, 0.006], + [16481, 0.001], [16482, 0.01], [16490, 0.005], [16494, 0.009], + [16495, 0.01], [16496, 0.009], [16497, 0.006], [16498, 0.004], + [16499, 0.002], [16529, 0.006], [16530, 0.002], [16531, 0.004], + [16532, 0.004], [16533, 0.012], [16534, 0.009], [16535, 0.006], + [16536, 0.003], [16540, 0.019], [16541, 0.022], [16542, 0.03], + [16543, 0.016], [16546, 0.006], [16547, 0.008], [16548, 0.018], + [16549, 0.008], [16551, 0.002], [16552, 0.003], [16553, 0.006], + [16554, 0.002], [16558, 0.003], [16571, 0.019], [16572, 0.038], + [16573, 0.035], [16575, 0.007], [16576, 0.016], [16577, 0.02], + [16591, 0.029], [16592, 0.042], [16593, 0.032], [16594, 0.017], + [16595, 0.023], [16596, 0.016], [16597, 0.01], [16598, 0.013], + [16599, 0.007], [16601, 0.007], [16604, 0.005], [16916, 0.001], + [16917, 0.001], [16918, 0.002], [16941, 0.002], [16942, 0.004], + [16943, 0.003], [17213, 0.005], [17226, 0.004], [17266, 0.002], + [18774, 0.068], [18775, 0.104], [18776, 0.116], [18777, 0.198], + [18821, 0.027], [18823, 0.056], [18824, 0.066], [18825, 0.123], + [18826, 0.145], [18827, 0.198], [18828, 0.088], [18829, 0.158], + [18854, 0.042], [18856, 0.125], [18857, 0.009], [18888, 0.001], + [18920, 0.008], [18921, 0.002], [18988, 0.068], [18989, 0.104], + [18990, 0.116], [18991, 0.198], [18992, 0.111], [18993, 0.236], + [18994, 0.011], [18995, 0.045], [19035, 0.027], [19037, 0.056], + [19038, 0.066], [19039, 0.123], [19040, 0.145], [19041, 0.198], + [19042, 0.088], [19043, 0.158], [19044, 0.05], [19045, 0.132], + [19047, 0.037], [19049, 0.016], [19068, 0.042], [19070, 0.125], + [19071, 0.009], [19072, 0.183], [19073, 0.044], [19074, 0.223], + [19075, 0.107], [19076, 0.171], [19077, 0.119], [19078, 0.041], + [19079, 0.016], [19102, 0.001], [19104, 0.006], [19106, 0.021], + [19108, 0.023], [19134, 0.008], [19135, 0.002], [19136, 0.038], + [19137, 0.007], [19138, 0.107], [19139, 0.023], [19140, 0.109], + [19141, 0.025], [19142, 0.017] + ], + "upperarm02.L": [ + [8047, 0.118], [8048, 0.102], [8049, 0.109], [8050, 0.131], + [8051, 0.163], [8052, 0.11], [8053, 0.05], [8054, 0.025], + [8057, 0.058], [8058, 0.052], [8059, 0.052], [8060, 0.048], + [8061, 0.013], [8067, 0.024], [8068, 0.035], [8069, 0.045], + [8077, 0.012], [8078, 0.018], [8079, 0.029], [8089, 0.014], + [8092, 0.386], [8093, 0.333], [8094, 0.308], [8095, 0.241], + [8096, 0.243], [8097, 0.218], [8098, 0.2], [8099, 0.132], + [8100, 0.064], [8101, 0.015], [8102, 0.688], [8103, 0.596], + [8104, 0.586], [8105, 0.563], [8106, 0.576], [8107, 0.663], + [8108, 0.317], [8109, 0.228], [8110, 0.139], [8111, 0.069], + [8112, 0.797], [8113, 0.658], [8114, 0.672], [8115, 0.687], + [8116, 0.696], [8117, 0.762], [8118, 0.168], [8119, 0.159], + [8120, 0.171], [8121, 0.191], [8122, 0.204], [8123, 0.174], + [8124, 0.119], [8125, 0.066], [8126, 0.013], [8128, 0.557], + [8129, 0.512], [8130, 0.468], [8131, 0.36], [8132, 0.284], + [8133, 0.3], [8134, 0.256], [8135, 0.185], [8136, 0.115], + [8137, 0.043], [8138, 0.13], [8139, 0.064], [8140, 0.052], + [8141, 0.036], [8142, 0.021], [8143, 0.329], [8144, 0.651], + [8145, 0.78], [8146, 0.17], [8147, 0.535], [8155, 0.005], + [8156, 0.005], [8157, 0.007], [8164, 0.01], [8165, 0.011], + [8166, 0.021], [8167, 0.018], [8168, 0.025], [8219, 0.009], + [8220, 0.01], [8221, 0.016], [8222, 0.025], [8223, 0.022], + [8224, 0.023], [8225, 0.029], [8226, 0.034], [8229, 0.014], + [8230, 0.014], [8231, 0.024], [8232, 0.04], [8233, 0.032], + [8234, 0.024], [8235, 0.039], [8236, 0.043], [8237, 0.056], + [8238, 0.023], [8239, 0.019], [8243, 0.019], [8244, 0.011], + [8245, 0.012], [8249, 0.009], [8250, 0.005], [8251, 0.005], + [8255, 0.009], [8256, 0.013], [8257, 0.009], [8273, 0.044], + [8274, 0.02], [8275, 0.014], [8276, 0.033], [8277, 0.055], + [8278, 0.031], [8279, 0.027], [8280, 0.073], [8281, 0.079], + [8282, 0.06], [8283, 0.085], [8284, 0.114], [8285, 0.08], + [8286, 0.049], [8287, 0.074], [8288, 0.057], [8289, 0.106], + [8290, 0.203], [8291, 0.097], [8292, 0.098], [8293, 0.048], + [8294, 0.185], [8295, 0.125], [8296, 0.079], [8297, 0.175], + [8298, 0.209], [8299, 0.225], [8300, 0.355], [8301, 0.151], + [8302, 0.146], [8303, 0.363], [8304, 0.354], [8305, 0.234], + [8306, 0.151], [8307, 0.265], [8308, 0.269], [8309, 0.341], + [8310, 0.514], [8311, 0.228], [8312, 0.23], [8313, 0.561], + [8314, 0.524], [8315, 0.514], [8316, 0.425], [8317, 0.36], + [8318, 0.495], [8319, 0.648], [8320, 0.335], [8321, 0.332], + [8322, 0.675], [8323, 0.682], [8324, 0.686], [8325, 0.4], + [8326, 0.552], [8327, 0.481], [8328, 0.639], [8329, 0.772], + [8330, 0.594], [8331, 0.615], [8332, 0.769], [8333, 0.794], + [8334, 0.792], [8335, 0.449], [8336, 0.418], [8337, 0.317], + [8338, 0.237], [8339, 0.136], [8340, 0.245], [8341, 0.186], + [8342, 0.237], [8343, 0.148], [8344, 0.11], [8345, 0.096], + [8346, 0.21], [8347, 0.192], [8348, 0.251], [8349, 0.189], + [8350, 0.219], [8351, 0.224], [8352, 0.229], [8353, 0.205], + [8354, 0.006], [8355, 0.04], [8356, 0.115], [8357, 0.228], + [8358, 0.396], [8359, 0.493], [8360, 0.686], [8361, 0.142], + [8362, 0.088], [8363, 0.006], [8364, 0.016], [8365, 0.026], + [8366, 0.897], [8367, 0.831], [8368, 0.818], [8369, 0.789], + [8370, 0.802], [8371, 0.844], [8372, 0.868], [8373, 0.78], + [8374, 0.748], [8375, 0.777], [8376, 0.884], [8377, 0.751], + [8378, 0.765], [8379, 0.829], [8380, 0.874], [8381, 0.875], + [8382, 0.79], [8383, 0.933], [8384, 0.895], [8385, 0.884], + [8386, 0.869], [8387, 0.873], [8388, 0.911], [8389, 0.906], + [8390, 0.864], [8391, 0.847], [8392, 0.865], [8393, 0.949], + [8394, 0.85], [8395, 0.862], [8396, 0.886], [8397, 0.941], + [8398, 0.948], [8399, 0.88], [8400, 0.9], [8401, 0.908], + [8402, 0.894], [8403, 0.882], [8404, 0.893], [8405, 0.925], + [8406, 0.895], [8407, 0.929], [8408, 0.919], [8409, 0.933], + [8410, 0.94], [8411, 0.919], [8412, 0.927], [8413, 0.927], + [8414, 0.962], [8415, 0.956], [8416, 0.939], [8417, 0.819], + [8418, 0.873], [8419, 0.88], [8420, 0.883], [8421, 0.888], + [8422, 0.916], [8423, 0.847], [8424, 0.966], [8425, 0.935], + [8426, 0.867], [8427, 0.869], [8428, 0.961], [8429, 0.965], + [8430, 0.964], [8431, 0.981], [8432, 0.967], [8433, 0.97], + [9979, 0.711], [9980, 0.79], [9981, 0.819], [9982, 0.871], + [9983, 0.891], [9984, 0.911], [9985, 0.784], [9986, 0.952], + [9987, 0.928], [9988, 0.778], [9989, 0.752], [9990, 0.874], + [9991, 0.874], [9992, 1.0], [9993, 0.99], [9994, 0.95], + [9995, 0.935], [9996, 0.578], [9997, 0.665], [9998, 0.71], + [9999, 0.816], [10000, 0.858], [10001, 0.879], [10002, 0.664], + [10003, 0.846], [10004, 0.805], [10005, 0.692], [10006, 0.623], + [10007, 0.772], [10008, 0.696], [10009, 0.904], [10010, 0.905], + [10011, 0.884], [10012, 0.72], [10013, 0.486], [10014, 0.58], + [10015, 0.61], [10016, 0.723], [10017, 0.797], [10018, 0.839], + [10019, 0.491], [10020, 0.617], [10021, 0.589], [10022, 0.454], + [10023, 0.454], [10024, 0.577], [10025, 0.576], [10026, 0.736], + [10027, 0.831], [10028, 0.856], [10029, 0.6], [10030, 0.216], + [10031, 0.403], [10032, 0.442], [10033, 0.562], [10034, 0.674], + [10035, 0.776], [10036, 0.256], [10037, 0.308], [10038, 0.303], + [10039, 0.238], [10040, 0.157], [10041, 0.308], [10042, 0.328], + [10043, 0.431], [10044, 0.642], [10045, 0.699], [10046, 0.417], + [10048, 0.117], [10049, 0.168], [10050, 0.282], [10051, 0.365], + [10052, 0.513], [10054, 0.127], [10055, 0.107], [10057, 0.037], + [10058, 0.188], [10059, 0.261], [10060, 0.543], [10061, 0.581], + [10062, 0.614], [10063, 0.359], [10066, 0.004], [10067, 0.014], + [10068, 0.029], [10069, 0.023], [10077, 0.009], [10078, 0.061], + [10079, 0.007], [10421, 0.012], [10422, 0.053], [10423, 0.12], + [10424, 0.181], [10425, 0.22], [10426, 0.275], [10427, 0.414], + [10428, 0.574], [10429, 0.679], [10430, 0.803], [10431, 0.877], + [10432, 0.888], [10433, 0.881], [10434, 0.845], [10441, 0.002], + [10442, 0.003], [10443, 0.003], [10444, 0.006], [10447, 0.094], + [10448, 0.283], [10449, 0.458], [10450, 0.609], [10451, 0.728], + [10452, 0.189], [10453, 0.049], [10454, 0.824], [10455, 0.895], + [10456, 0.934], [10457, 0.966], [10458, 0.976], [10459, 0.845], + [10460, 0.571], [10461, 0.403], [10462, 0.452], [10509, 0.113], + [10510, 0.278], [10511, 0.483], [10512, 0.622], [10513, 0.736], + [10514, 0.193], [10515, 0.823], [10516, 0.895], [10517, 0.937], + [10518, 0.968], [10520, 1.0], [10521, 0.871], [10522, 0.654], + [10523, 0.44], [10524, 0.494], [10536, 0.052], [10543, 0.009], + [10544, 0.225], [10545, 0.502], [10546, 0.666], [10547, 0.763], + [10588, 0.006], [10589, 0.027], [10590, 0.021], [10597, 0.024], + [10598, 0.038], [10599, 0.036], [10600, 0.002], [10610, 0.007], + [10611, 0.009], [10613, 0.001], [10623, 0.002], [14038, 1.0], + [14039, 1.0], [14040, 1.0], [14041, 1.0], [14042, 1.0], + [14043, 1.0], [14044, 1.0], [14045, 1.0], [16860, 0.027], + [16861, 0.023], [16862, 0.036], [16863, 0.025], [16865, 0.009], + [16867, 0.012], [16868, 0.02], [16869, 0.005], [16874, 0.003], + [16875, 0.012], [16882, 0.004], [16887, 0.028], [16888, 0.001], + [16892, 0.333], [16893, 0.305], [16894, 0.315], [16895, 0.415], + [16896, 0.372], [16897, 0.385], [16898, 0.059], [16899, 0.052], + [16900, 0.09], [16901, 0.062], [16903, 0.03], [16904, 0.005], + [16905, 0.211], [16906, 0.22], [16907, 0.192], [16908, 0.122], + [16910, 0.083], [16911, 0.052], [16920, 0.009], [16921, 0.005], + [16922, 0.005], [16923, 0.006], [16925, 0.017], [16926, 0.01], + [16927, 0.011], [16928, 0.014], [16929, 0.014], [16932, 0.007], + [16935, 0.004], [16938, 0.002], [16944, 0.023], [16945, 0.013], + [16946, 0.015], [16947, 0.018], [16948, 0.028], [16949, 0.013], + [16950, 0.012], [16951, 0.021], [16953, 0.029], [16954, 0.102], + [16955, 0.071], [16956, 0.04], [16957, 0.021], [16958, 0.014], + [16959, 0.037], [16960, 0.049], [16962, 0.172], [16963, 0.12], + [16964, 0.079], [16965, 0.12], [16966, 0.126], [16967, 0.142], + [16968, 0.209], [16969, 0.121], [16971, 0.283], [16972, 0.281], + [16973, 0.229], [16974, 0.199], [16975, 0.257], [16976, 0.326], + [16977, 0.219], [16978, 0.354], [16979, 0.358], [16980, 0.347], + [16981, 0.327], [16982, 0.354], [16983, 0.415], [16984, 0.357], + [16985, 0.413], [16986, 0.408], [16987, 0.197], [16990, 0.07], + [16991, 0.078], [16992, 0.109], [16993, 0.072], [16994, 0.063], + [16995, 0.094], [16996, 0.101], [16998, 0.097], [16999, 0.113], + [17000, 0.025], [17001, 0.055], [17002, 0.006], [17003, 0.01], + [17005, 0.451], [17006, 0.439], [17007, 0.431], [17008, 0.418], + [17009, 0.412], [17010, 0.421], [17011, 0.462], [17012, 0.42], + [17014, 0.463], [17015, 0.451], [17016, 0.449], [17017, 0.453], + [17018, 0.444], [17019, 0.458], [17020, 0.456], [17021, 0.458], + [17022, 0.468], [17023, 0.46], [17025, 0.48], [17026, 0.462], + [17027, 0.418], [17028, 0.437], [17029, 0.443], [17030, 0.482], + [17031, 0.468], [17032, 0.438], [17033, 0.436], [17034, 0.483], + [17035, 0.492], [17036, 0.457], [17043, 0.001], [17044, 0.003], + [17045, 0.002], [17065, 0.366], [17066, 0.379], [17067, 0.437], + [17068, 0.46], [17069, 0.458], [17070, 0.389], [17071, 0.373], + [17072, 0.43], [17074, 0.477], [17075, 0.447], [17078, 0.28], + [17079, 0.303], [17080, 0.376], [17081, 0.317], [17082, 0.321], + [17083, 0.272], [17084, 0.259], [17086, 0.297], [17087, 0.382], + [17088, 0.408], [17091, 0.09], [17092, 0.133], [17093, 0.18], + [17094, 0.092], [17095, 0.09], [17096, 0.044], [17097, 0.059], + [17099, 0.135], [17100, 0.293], [17101, 0.257], [17103, 0.009], + [17104, 0.01], [17105, 0.009], [17106, 0.007], [17108, 0.004], + [17110, 0.016], [17111, 0.027], [17112, 0.009], [17120, 0.002], + [17165, 0.013], [17167, 0.001], [17188, 0.025], [17195, 0.005], + [17196, 0.024], [17197, 0.065], [17198, 0.108], [17199, 0.195], + [17200, 0.307], [17201, 0.379], [17202, 0.429], [17203, 0.444], + [17204, 0.441], [17205, 0.412], [17211, 0.001], [17215, 0.015], + [17216, 0.025], [17218, 0.021], [17222, 0.063], [17223, 0.049], + [17224, 0.037], [17225, 0.003], [17227, 0.001], [17228, 0.003], + [17229, 0.005], [17230, 0.007], [17231, 0.024], [17235, 0.243], + [17236, 0.327], [17237, 0.388], [17238, 0.124], [17239, 0.443], + [17240, 0.467], [17241, 0.484], [17242, 0.475], [17243, 0.282], + [17244, 0.233], [17258, 0.004], [17259, 0.178], [17260, 0.342], + [17261, 0.026], [17267, 0.047], [17268, 0.046], [17269, 0.002], + [17317, 0.007], [17767, 0.006], [17770, 0.002], [17771, 0.004], + [17791, 0.059], [17863, 0.008], [17864, 0.012], [17865, 0.012], + [17879, 0.008], [17884, 0.003], [18821, 0.005], [18823, 0.011], + [18831, 0.049], [18854, 0.006], [18855, 0.003], [18856, 0.018], + [18857, 0.008], [18858, 0.028], [18859, 0.014], [18860, 0.072], + [18861, 0.015], [18862, 0.09], [18864, 0.012], [18918, 0.004], + [18920, 0.009], [18922, 0.014], [18924, 0.015], [19035, 0.005], + [19037, 0.011], [19068, 0.006], [19069, 0.003], [19070, 0.018], + [19071, 0.008], [19132, 0.004], [19134, 0.009] + ], + "upperarm02.R": [ + [1355, 0.118], [1356, 0.102], [1357, 0.109], [1358, 0.131], + [1359, 0.163], [1360, 0.11], [1361, 0.05], [1362, 0.025], + [1365, 0.058], [1366, 0.052], [1367, 0.052], [1368, 0.048], + [1369, 0.013], [1375, 0.024], [1376, 0.035], [1377, 0.045], + [1385, 0.012], [1386, 0.018], [1387, 0.029], [1397, 0.014], + [1404, 0.386], [1405, 0.333], [1406, 0.308], [1407, 0.241], + [1408, 0.243], [1409, 0.218], [1410, 0.2], [1411, 0.132], + [1412, 0.064], [1413, 0.015], [1414, 0.688], [1415, 0.596], + [1416, 0.586], [1417, 0.563], [1418, 0.576], [1419, 0.663], + [1420, 0.317], [1421, 0.228], [1422, 0.139], [1423, 0.069], + [1424, 0.797], [1425, 0.658], [1426, 0.672], [1427, 0.687], + [1428, 0.696], [1429, 0.762], [1430, 0.168], [1431, 0.159], + [1432, 0.171], [1433, 0.191], [1434, 0.204], [1435, 0.174], + [1436, 0.119], [1437, 0.066], [1438, 0.013], [1440, 0.557], + [1441, 0.512], [1442, 0.468], [1443, 0.36], [1444, 0.284], + [1445, 0.3], [1446, 0.256], [1447, 0.185], [1448, 0.115], + [1449, 0.043], [1450, 0.13], [1451, 0.064], [1452, 0.052], + [1453, 0.036], [1454, 0.021], [1455, 0.329], [1456, 0.651], + [1457, 0.78], [1458, 0.17], [1459, 0.535], [1468, 0.005], + [1469, 0.005], [1470, 0.007], [1478, 0.01], [1479, 0.011], + [1480, 0.021], [1481, 0.018], [1482, 0.025], [1540, 0.009], + [1541, 0.01], [1542, 0.016], [1543, 0.025], [1544, 0.022], + [1545, 0.023], [1546, 0.029], [1547, 0.034], [1551, 0.014], + [1552, 0.014], [1553, 0.024], [1554, 0.04], [1555, 0.032], + [1556, 0.024], [1557, 0.039], [1558, 0.043], [1559, 0.056], + [1560, 0.023], [1561, 0.019], [1565, 0.019], [1566, 0.011], + [1567, 0.012], [1571, 0.009], [1572, 0.005], [1573, 0.005], + [1577, 0.009], [1578, 0.013], [1579, 0.009], [1601, 0.044], + [1602, 0.02], [1603, 0.014], [1604, 0.033], [1605, 0.055], + [1606, 0.031], [1607, 0.027], [1608, 0.073], [1609, 0.079], + [1610, 0.06], [1611, 0.085], [1612, 0.114], [1613, 0.08], + [1614, 0.049], [1615, 0.074], [1616, 0.057], [1617, 0.106], + [1618, 0.203], [1619, 0.097], [1620, 0.098], [1621, 0.048], + [1622, 0.185], [1623, 0.125], [1624, 0.079], [1625, 0.175], + [1626, 0.209], [1627, 0.225], [1628, 0.355], [1629, 0.151], + [1630, 0.146], [1631, 0.363], [1632, 0.354], [1633, 0.234], + [1634, 0.151], [1635, 0.265], [1636, 0.269], [1637, 0.341], + [1638, 0.514], [1639, 0.228], [1640, 0.23], [1641, 0.561], + [1642, 0.524], [1643, 0.514], [1644, 0.425], [1645, 0.36], + [1646, 0.495], [1647, 0.648], [1648, 0.335], [1649, 0.332], + [1650, 0.675], [1651, 0.682], [1652, 0.686], [1653, 0.4], + [1654, 0.552], [1655, 0.481], [1656, 0.639], [1657, 0.772], + [1658, 0.594], [1659, 0.615], [1660, 0.769], [1661, 0.794], + [1662, 0.792], [1663, 0.449], [1664, 0.418], [1665, 0.317], + [1666, 0.237], [1667, 0.136], [1668, 0.245], [1669, 0.186], + [1670, 0.237], [1671, 0.148], [1672, 0.11], [1673, 0.096], + [1674, 0.21], [1675, 0.192], [1676, 0.251], [1677, 0.189], + [1678, 0.219], [1679, 0.224], [1680, 0.229], [1681, 0.205], + [1682, 0.006], [1683, 0.04], [1684, 0.115], [1685, 0.228], + [1686, 0.396], [1687, 0.493], [1688, 0.686], [1689, 0.142], + [1690, 0.088], [1691, 0.006], [1692, 0.016], [1693, 0.026], + [1694, 0.897], [1695, 0.831], [1696, 0.818], [1697, 0.789], + [1698, 0.802], [1699, 0.844], [1700, 0.868], [1701, 0.78], + [1702, 0.748], [1703, 0.777], [1704, 0.884], [1705, 0.751], + [1706, 0.765], [1707, 0.829], [1708, 0.874], [1709, 0.875], + [1710, 0.79], [1711, 0.933], [1712, 0.895], [1713, 0.884], + [1714, 0.869], [1715, 0.873], [1716, 0.911], [1717, 0.906], + [1718, 0.864], [1719, 0.847], [1720, 0.865], [1721, 0.949], + [1722, 0.85], [1723, 0.862], [1724, 0.886], [1725, 0.941], + [1726, 0.948], [1727, 0.88], [1728, 0.9], [1729, 0.908], + [1730, 0.894], [1731, 0.882], [1732, 0.893], [1733, 0.925], + [1734, 0.895], [1735, 0.929], [1736, 0.919], [1737, 0.933], + [1738, 0.94], [1739, 0.919], [1740, 0.927], [1741, 0.927], + [1742, 0.962], [1743, 0.956], [1744, 0.939], [1745, 0.819], + [1746, 0.873], [1747, 0.88], [1748, 0.883], [1749, 0.888], + [1750, 0.916], [1751, 0.847], [1752, 0.966], [1753, 0.935], + [1754, 0.867], [1755, 0.869], [1756, 0.961], [1757, 0.965], + [1758, 0.964], [1759, 0.981], [1760, 0.967], [1761, 0.97], + [3311, 0.711], [3312, 0.79], [3313, 0.819], [3314, 0.871], + [3315, 0.891], [3316, 0.911], [3317, 0.784], [3318, 0.952], + [3319, 0.928], [3320, 0.778], [3321, 0.752], [3322, 0.874], + [3323, 0.874], [3324, 1.0], [3325, 0.99], [3326, 0.95], + [3327, 0.935], [3328, 0.578], [3329, 0.665], [3330, 0.71], + [3331, 0.816], [3332, 0.858], [3333, 0.879], [3334, 0.664], + [3335, 0.846], [3336, 0.805], [3337, 0.692], [3338, 0.623], + [3339, 0.772], [3340, 0.696], [3341, 0.904], [3342, 0.905], + [3343, 0.884], [3344, 0.72], [3345, 0.486], [3346, 0.58], + [3347, 0.61], [3348, 0.723], [3349, 0.797], [3350, 0.839], + [3351, 0.491], [3352, 0.617], [3353, 0.589], [3354, 0.454], + [3355, 0.454], [3356, 0.577], [3357, 0.576], [3358, 0.736], + [3359, 0.831], [3360, 0.856], [3361, 0.6], [3362, 0.216], + [3363, 0.403], [3364, 0.442], [3365, 0.562], [3366, 0.674], + [3367, 0.776], [3368, 0.256], [3369, 0.308], [3370, 0.303], + [3371, 0.238], [3372, 0.157], [3373, 0.308], [3374, 0.328], + [3375, 0.431], [3376, 0.642], [3377, 0.699], [3378, 0.417], + [3380, 0.117], [3381, 0.168], [3382, 0.282], [3383, 0.365], + [3384, 0.513], [3386, 0.127], [3387, 0.107], [3389, 0.037], + [3390, 0.188], [3391, 0.261], [3392, 0.543], [3393, 0.581], + [3394, 0.614], [3395, 0.359], [3398, 0.004], [3399, 0.014], + [3400, 0.029], [3401, 0.023], [3409, 0.009], [3410, 0.061], + [3411, 0.007], [3754, 0.012], [3755, 0.053], [3756, 0.12], + [3757, 0.181], [3758, 0.22], [3759, 0.275], [3760, 0.414], + [3761, 0.574], [3762, 0.679], [3763, 0.803], [3764, 0.877], + [3765, 0.888], [3766, 0.881], [3767, 0.845], [3774, 0.002], + [3775, 0.003], [3776, 0.003], [3777, 0.006], [3781, 0.094], + [3782, 0.283], [3783, 0.458], [3784, 0.609], [3785, 0.728], + [3786, 0.189], [3787, 0.049], [3788, 0.824], [3789, 0.895], + [3790, 0.934], [3791, 0.966], [3792, 0.976], [3793, 0.845], + [3794, 0.571], [3795, 0.403], [3796, 0.452], [3844, 0.113], + [3845, 0.278], [3846, 0.483], [3847, 0.622], [3848, 0.736], + [3849, 0.193], [3850, 0.823], [3851, 0.895], [3852, 0.937], + [3853, 0.968], [3855, 1.0], [3856, 0.871], [3857, 0.654], + [3858, 0.44], [3859, 0.494], [3871, 0.052], [3878, 0.009], + [3879, 0.225], [3880, 0.502], [3881, 0.666], [3882, 0.763], + [3923, 0.006], [3924, 0.027], [3925, 0.021], [3933, 0.024], + [3934, 0.038], [3935, 0.036], [3936, 0.002], [3947, 0.007], + [3948, 0.009], [3950, 0.001], [3961, 0.002], [14478, 1.0], + [14479, 1.0], [14480, 1.0], [14481, 1.0], [14482, 1.0], + [14483, 1.0], [14484, 1.0], [14485, 1.0], [15556, 0.027], + [15557, 0.023], [15558, 0.036], [15559, 0.025], [15561, 0.009], + [15563, 0.012], [15564, 0.02], [15565, 0.005], [15570, 0.003], + [15571, 0.012], [15578, 0.004], [15583, 0.028], [15584, 0.001], + [15588, 0.333], [15589, 0.305], [15590, 0.315], [15591, 0.415], + [15592, 0.372], [15593, 0.385], [15594, 0.059], [15595, 0.052], + [15596, 0.09], [15597, 0.062], [15599, 0.03], [15600, 0.005], + [15601, 0.211], [15602, 0.22], [15603, 0.192], [15604, 0.122], + [15606, 0.083], [15607, 0.052], [15611, 0.009], [15612, 0.005], + [15613, 0.005], [15614, 0.006], [15616, 0.017], [15617, 0.01], + [15618, 0.011], [15619, 0.014], [15620, 0.014], [15623, 0.007], + [15626, 0.004], [15629, 0.002], [15632, 0.023], [15633, 0.013], + [15634, 0.015], [15635, 0.018], [15636, 0.028], [15637, 0.013], + [15638, 0.012], [15639, 0.021], [15641, 0.029], [15642, 0.102], + [15643, 0.071], [15644, 0.04], [15645, 0.021], [15646, 0.014], + [15647, 0.037], [15648, 0.049], [15650, 0.172], [15651, 0.12], + [15652, 0.079], [15653, 0.12], [15654, 0.126], [15655, 0.142], + [15656, 0.209], [15657, 0.121], [15659, 0.283], [15660, 0.281], + [15661, 0.229], [15662, 0.199], [15663, 0.257], [15664, 0.326], + [15665, 0.219], [15666, 0.354], [15667, 0.358], [15668, 0.347], + [15669, 0.327], [15670, 0.354], [15671, 0.415], [15672, 0.357], + [15673, 0.413], [15674, 0.408], [15675, 0.197], [15678, 0.07], + [15679, 0.078], [15680, 0.109], [15681, 0.072], [15682, 0.063], + [15683, 0.094], [15684, 0.101], [15686, 0.097], [15687, 0.113], + [15688, 0.025], [15689, 0.055], [15690, 0.006], [15691, 0.01], + [15693, 0.451], [15694, 0.439], [15695, 0.431], [15696, 0.418], + [15697, 0.412], [15698, 0.421], [15699, 0.462], [15700, 0.42], + [15702, 0.463], [15703, 0.451], [15704, 0.449], [15705, 0.453], + [15706, 0.444], [15707, 0.458], [15708, 0.456], [15709, 0.458], + [15710, 0.468], [15711, 0.46], [15713, 0.48], [15714, 0.462], + [15715, 0.418], [15716, 0.437], [15717, 0.443], [15718, 0.482], + [15719, 0.468], [15720, 0.438], [15721, 0.436], [15722, 0.483], + [15723, 0.492], [15724, 0.457], [15730, 0.001], [15731, 0.003], + [15732, 0.002], [15749, 0.366], [15750, 0.379], [15751, 0.437], + [15752, 0.46], [15753, 0.458], [15754, 0.389], [15755, 0.373], + [15756, 0.43], [15758, 0.477], [15759, 0.447], [15761, 0.28], + [15762, 0.303], [15763, 0.376], [15764, 0.317], [15765, 0.321], + [15766, 0.272], [15767, 0.259], [15769, 0.297], [15770, 0.382], + [15771, 0.408], [15774, 0.09], [15775, 0.133], [15776, 0.18], + [15777, 0.092], [15778, 0.09], [15779, 0.044], [15780, 0.059], + [15782, 0.135], [15783, 0.293], [15784, 0.257], [15786, 0.009], + [15787, 0.01], [15788, 0.009], [15789, 0.007], [15791, 0.004], + [15793, 0.016], [15794, 0.027], [15795, 0.009], [15803, 0.002], + [15848, 0.013], [15850, 0.001], [15871, 0.025], [15878, 0.005], + [15879, 0.024], [15880, 0.065], [15881, 0.108], [15882, 0.195], + [15883, 0.307], [15884, 0.379], [15885, 0.429], [15886, 0.444], + [15887, 0.441], [15888, 0.412], [15894, 0.001], [15897, 0.015], + [15898, 0.025], [15900, 0.021], [15904, 0.063], [15905, 0.049], + [15906, 0.037], [15907, 0.003], [15908, 0.001], [15909, 0.003], + [15910, 0.005], [15911, 0.007], [15912, 0.024], [15916, 0.243], + [15917, 0.327], [15918, 0.388], [15919, 0.124], [15920, 0.443], + [15921, 0.467], [15922, 0.484], [15923, 0.475], [15924, 0.282], + [15925, 0.233], [15939, 0.004], [15940, 0.178], [15941, 0.342], + [15942, 0.026], [15947, 0.047], [15948, 0.046], [15949, 0.002], + [15995, 0.007], [16436, 0.006], [16439, 0.002], [16440, 0.004], + [16459, 0.059], [16529, 0.008], [16530, 0.012], [16531, 0.012], + [16543, 0.008], [16547, 0.003], [18821, 0.005], [18823, 0.011], + [18854, 0.006], [18855, 0.003], [18856, 0.018], [18857, 0.008], + [18918, 0.004], [18920, 0.009], [19035, 0.005], [19037, 0.011], + [19045, 0.049], [19068, 0.006], [19069, 0.003], [19070, 0.018], + [19071, 0.008], [19072, 0.028], [19073, 0.014], [19074, 0.072], + [19075, 0.015], [19076, 0.09], [19078, 0.012], [19132, 0.004], + [19134, 0.009], [19136, 0.014], [19138, 0.015] + ], + "upperleg01.L": [ + [4110, 0.001], [4181, 0.002], [4188, 0.004], [4195, 0.008], + [4205, 0.032], [4215, 0.041], [4223, 0.049], [4232, 0.057], + [4241, 0.054], [4250, 0.052], [4259, 0.048], [4267, 0.061], + [4317, 0.006], [4323, 0.012], [4329, 0.03], [4335, 0.049], + [4341, 0.067], [4347, 0.079], [4367, 0.003], [4370, 0.091], + [4372, 0.076], [4374, 0.072], [4376, 0.055], [4387, 0.016], + [6431, 0.076], [10681, 0.001], [10692, 0.003], [10693, 0.004], + [10694, 0.004], [10695, 0.001], [10696, 0.001], [10697, 0.001], + [10703, 0.003], [10704, 0.003], [10705, 0.004], [10706, 0.006], + [10707, 0.007], [10708, 0.008], [10710, 0.006], [10711, 0.004], + [10712, 0.003], [10713, 0.003], [10714, 0.002], [10715, 0.002], + [10716, 0.006], [10717, 0.007], [10718, 0.007], [10726, 0.003], + [10746, 0.002], [10747, 0.002], [10754, 0.003], [10755, 0.003], + [10757, 0.001], [10758, 0.002], [10765, 0.003], [10766, 0.001], + [10767, 0.005], [10768, 0.004], [10769, 0.005], [10770, 0.006], + [10771, 0.012], [10772, 0.015], [10773, 0.016], [10774, 0.013], + [10775, 0.014], [10776, 0.005], [10777, 0.003], [10778, 0.011], + [10779, 0.008], [10780, 0.01], [10781, 0.013], [10782, 0.002], + [10783, 0.002], [10784, 0.001], [10785, 0.002], [10786, 0.002], + [10787, 0.002], [10788, 0.002], [10789, 0.001], [10791, 0.003], + [10792, 0.002], [10794, 0.002], [10795, 0.002], [10798, 0.001], + [10799, 0.001], [10800, 0.001], [10801, 0.002], [10802, 0.021], + [10803, 0.005], [10804, 0.01], [10805, 0.028], [10806, 0.026], + [10807, 0.032], [10808, 0.029], [10809, 0.023], [10810, 0.025], + [10811, 0.02], [10812, 0.016], [10813, 0.007], [10814, 0.013], + [10815, 0.027], [10816, 0.011], [10817, 0.009], [10818, 0.007], + [10819, 0.006], [10820, 0.005], [10821, 0.004], [10822, 0.023], + [10823, 0.018], [10824, 0.014], [10825, 0.013], [10826, 0.011], + [10827, 0.007], [10828, 0.047], [10829, 0.037], [10830, 0.029], + [10831, 0.025], [10832, 0.022], [10833, 0.016], [10834, 0.014], + [10835, 0.029], [10836, 0.113], [10837, 0.178], [10838, 0.141], + [10839, 0.114], [10840, 0.1], [10841, 0.089], [10842, 0.063], + [10843, 0.12], [10844, 0.213], [10845, 0.227], [10846, 0.238], + [10847, 0.197], [10848, 0.164], [10849, 0.144], [10850, 0.12], + [10851, 0.082], [10852, 0.277], [10853, 0.305], [10854, 0.255], + [10855, 0.214], [10856, 0.184], [10857, 0.152], [10858, 0.098], + [10859, 0.308], [10860, 0.35], [10861, 0.371], [10862, 0.313], + [10863, 0.263], [10864, 0.224], [10865, 0.183], [10866, 0.113], + [10867, 0.389], [10868, 0.422], [10869, 0.514], [10870, 0.41], + [10871, 0.323], [10872, 0.258], [10873, 0.209], [10874, 0.108], + [10875, 0.469], [10876, 0.525], [10877, 0.657], [10878, 0.508], + [10879, 0.384], [10880, 0.293], [10881, 0.236], [10882, 0.103], + [10883, 0.597], [10884, 0.628], [10885, 0.737], [10886, 0.583], + [10887, 0.384], [10888, 0.272], [10889, 0.19], [10890, 0.096], + [10891, 0.725], [10892, 0.736], [10893, 0.731], [10894, 0.674], + [10895, 0.326], [10896, 0.263], [10897, 0.122], [10898, 0.768], + [10899, 0.12], [10900, 0.109], [10901, 0.132], [10902, 0.122], + [10903, 0.097], [10904, 0.106], [10905, 0.233], [10906, 0.207], + [10907, 0.257], [10908, 0.236], [10909, 0.193], [10910, 0.21], + [10911, 0.361], [10912, 0.288], [10913, 0.37], [10914, 0.351], + [10915, 0.327], [10916, 0.329], [10917, 0.489], [10918, 0.382], + [10919, 0.462], [10920, 0.441], [10921, 0.43], [10922, 0.425], + [10923, 0.613], [10924, 0.474], [10925, 0.552], [10926, 0.529], + [10927, 0.53], [10928, 0.519], [10929, 0.612], [10930, 0.541], + [10931, 0.561], [10932, 0.542], [10933, 0.537], [10934, 0.54], + [10935, 0.611], [10936, 0.608], [10937, 0.57], [10938, 0.555], + [10939, 0.544], [10940, 0.561], [10941, 0.606], [10942, 0.638], + [10943, 0.57], [10944, 0.572], [10945, 0.584], [10946, 0.592], + [10947, 0.088], [10948, 0.022], [10949, 0.042], [10950, 0.079], + [10951, 0.064], [10952, 0.18], [10953, 0.045], [10954, 0.087], + [10955, 0.158], [10956, 0.129], [10957, 0.317], [10958, 0.111], + [10959, 0.169], [10960, 0.291], [10961, 0.264], [10962, 0.42], + [10963, 0.177], [10964, 0.249], [10965, 0.396], [10966, 0.382], + [10967, 0.52], [10968, 0.243], [10969, 0.328], [10970, 0.498], + [10971, 0.499], [10972, 0.539], [10973, 0.304], [10974, 0.448], + [10975, 0.535], [10976, 0.552], [10977, 0.558], [10978, 0.537], + [10979, 0.572], [10980, 0.606], [10981, 0.012], [10982, 0.024], + [10983, 0.059], [10984, 0.097], [10985, 0.134], [10986, 0.159], + [10987, 0.039], [10988, 0.032], [10989, 0.01], [10990, 0.006], + [10991, 0.043], [10992, 0.021], [10993, 0.183], [10994, 0.151], + [10995, 0.144], [10996, 0.109], [10997, 0.366], [10998, 0.335], + [10999, 0.396], [11000, 0.296], [11001, 0.481], [11002, 0.434], + [11003, 0.37], [11004, 0.366], [11005, 0.033], [11006, 0.094], + [11007, 0.073], [11008, 0.059], [11009, 0.061], [11010, 0.052], + [11011, 0.045], [11012, 0.058], [11013, 0.06], [11014, 0.06], + [11015, 0.052], [11016, 0.048], [11017, 0.065], [11018, 0.054], + [11019, 0.727], [11020, 0.716], [11021, 0.539], [11022, 0.618], + [11023, 0.558], [11024, 0.575], [11025, 0.588], [11026, 0.569], + [11027, 0.554], [11028, 0.554], [11029, 0.528], [11030, 0.466], + [11031, 0.405], [11032, 0.43], [11033, 0.558], [11034, 0.558], + [11035, 0.54], [11036, 0.542], [11037, 0.607], [11038, 0.557], + [11039, 0.562], [11040, 0.544], [11041, 0.635], [11042, 0.667], + [11043, 0.663], [11044, 0.688], [11045, 0.435], [11046, 0.536], + [11047, 0.54], [11048, 0.573], [11049, 0.661], [11050, 0.715], + [11051, 0.687], [11052, 0.567], [11053, 0.594], [11054, 0.621], + [11055, 0.493], [11056, 0.51], [11057, 0.528], [11058, 0.549], + [11059, 0.531], [11060, 0.567], [11061, 0.521], [11062, 0.504], + [11063, 0.624], [11064, 0.6], [11065, 0.67], [11066, 0.693], + [11067, 0.522], [11068, 0.715], [11069, 0.609], [11070, 0.593], + [11071, 0.489], [11072, 0.481], [11073, 0.487], [11074, 0.452], + [11075, 0.454], [11076, 0.42], [11077, 0.466], [11078, 0.468], + [11079, 0.489], [11080, 0.463], [11081, 0.439], [11082, 0.511], + [11083, 0.552], [11084, 0.534], [11085, 0.503], [11086, 0.428], + [11087, 0.578], [11088, 0.485], [11089, 0.494], [11090, 0.391], + [11091, 0.406], [11092, 0.408], [11093, 0.367], [11094, 0.381], + [11095, 0.315], [11096, 0.367], [11097, 0.339], [11098, 0.386], + [11099, 0.334], [11100, 0.311], [11101, 0.398], [11102, 0.395], + [11103, 0.394], [11104, 0.404], [11105, 0.301], [11106, 0.451], + [11107, 0.204], [11108, 0.229], [11109, 0.168], [11110, 0.21], + [11111, 0.207], [11112, 0.206], [11113, 0.205], [11114, 0.194], + [11115, 0.201], [11116, 0.17], [11117, 0.125], [11118, 0.174], + [11119, 0.175], [11120, 0.119], [11121, 0.127], [11122, 0.131], + [11123, 0.155], [11124, 0.175], [11125, 0.191], [11126, 0.141], + [11127, 0.14], [11128, 0.122], [11129, 0.121], [11130, 0.102], + [11131, 0.12], [11132, 0.118], [11133, 0.119], [11134, 0.115], + [11135, 0.128], [11136, 0.1], [11137, 0.144], [11138, 0.144], + [11139, 0.064], [11140, 0.095], [11141, 0.104], [11142, 0.124], + [11143, 0.135], [11144, 0.135], [11145, 0.042], [11146, 0.044], + [11147, 0.066], [11148, 0.048], [11149, 0.038], [11150, 0.04], + [11151, 0.045], [11152, 0.025], [11153, 0.03], [11154, 0.062], + [11155, 0.06], [11156, 0.059], [11157, 0.056], [11158, 0.021], + [11159, 0.018], [11161, 0.014], [11162, 0.035], [11163, 0.043], + [11166, 0.014], [11173, 0.012], [11174, 0.024], [11175, 0.008], + [12932, 0.38], [12987, 0.151], [12989, 0.387], [12990, 0.492], + [12991, 0.568], [12992, 0.692], [12993, 0.647], [12994, 0.539], + [12995, 0.352], [12996, 0.126], [12997, 0.087], [12998, 0.009], + [13332, 0.249], [13333, 0.231], [13334, 0.222], [13335, 0.216], + [13336, 0.25], [13337, 0.299], [13338, 0.32], [13339, 0.33], + [13340, 0.333], [13341, 0.304], [13342, 0.307], [13343, 0.294], + [13344, 0.281], [13345, 0.288], [13346, 0.247], [13347, 0.222], + [13348, 0.213], [13349, 0.218], [13350, 0.238], [13351, 0.278], + [15128, 0.078], [15133, 0.103], [15135, 0.103], [15139, 0.253], + [15140, 0.248], [15141, 0.21], [15142, 0.196], [15143, 0.215], + [15144, 0.112], [15145, 0.283], [15146, 0.222], [15149, 0.078], + [15154, 0.106], [15155, 0.103], [15156, 0.152], [15163, 0.115], + [15164, 0.235], [15165, 0.228], [15166, 0.248], [15167, 0.121], + [15168, 0.194], [15169, 0.074], [15170, 0.094], [15171, 0.149], + [15172, 0.258], [15173, 0.172], [15174, 0.257], [15175, 0.272], + [15176, 0.209], [15177, 0.094], [15180, 0.132], [15184, 0.103], + [15185, 0.227], [15186, 0.132], [15187, 0.221], [15188, 0.252], + [15189, 0.07], [15191, 0.138], [15214, 0.147], [15215, 0.117], + [15216, 0.103], [15217, 0.123], [15218, 0.126], [15219, 0.11], + [15220, 0.12], [15221, 0.064], [15235, 0.258], [15237, 0.069], + [15243, 0.18], [15252, 0.103], [15253, 0.284], [15263, 0.046], + [15265, 0.047], [15269, 0.058], [15271, 0.025], [15273, 0.034], + [15275, 0.009], [15277, 0.009], [15324, 0.091], [16519, 0.119], + [16520, 0.019], [16521, 0.009], [16522, 0.011], [16523, 0.005], + [16891, 0.148], [16902, 0.195], [16909, 0.033], [16915, 0.012], + [16970, 0.146], [16997, 0.237], [17004, 0.279], [17013, 0.357], + [17024, 0.045], [17090, 0.019], [17122, 0.106], [17144, 0.072], + [17220, 0.002], [17221, 0.006], [17311, 0.002], [17314, 0.002], + [17315, 0.002], [17323, 0.001], [17338, 0.001], [17344, 0.002], + [17345, 0.002], [17348, 0.007], [17349, 0.007], [17350, 0.002], + [17351, 0.001], [17352, 0.005], [17353, 0.004], [17354, 0.005], + [17355, 0.006], [17357, 0.001], [17360, 0.015], [17361, 0.003], + [17362, 0.006], [17363, 0.02], [17364, 0.02], [17365, 0.017], + [17366, 0.013], [17367, 0.011], [17368, 0.006], [17369, 0.018], + [17370, 0.005], [17371, 0.004], [17372, 0.003], [17373, 0.002], + [17374, 0.015], [17375, 0.011], [17376, 0.009], [17377, 0.007], + [17378, 0.002], [17379, 0.036], [17380, 0.028], [17381, 0.023], + [17382, 0.017], [17383, 0.006], [17384, 0.019], [17385, 0.081], + [17386, 0.064], [17387, 0.052], [17388, 0.042], [17389, 0.014], + [17390, 0.104], [17391, 0.113], [17392, 0.124], [17393, 0.103], + [17394, 0.088], [17395, 0.071], [17396, 0.169], [17397, 0.159], + [17398, 0.166], [17399, 0.142], [17400, 0.12], [17401, 0.104], + [17402, 0.243], [17403, 0.214], [17404, 0.268], [17405, 0.223], + [17406, 0.172], [17407, 0.131], [17408, 0.275], [17409, 0.362], + [17410, 0.291], [17411, 0.185], [17412, 0.117], [17413, 0.31], + [17414, 0.268], [17415, 0.146], [17416, 0.376], [17417, 0.121], + [17418, 0.125], [17419, 0.099], [17420, 0.198], [17421, 0.203], + [17422, 0.177], [17423, 0.264], [17424, 0.252], [17425, 0.236], + [17426, 0.249], [17427, 0.234], [17428, 0.225], [17429, 0.232], + [17430, 0.217], [17431, 0.233], [17432, 0.094], [17433, 0.02], + [17434, 0.035], [17435, 0.085], [17436, 0.063], [17437, 0.176], + [17438, 0.059], [17439, 0.092], [17440, 0.161], [17441, 0.156], + [17442, 0.232], [17443, 0.113], [17444, 0.154], [17445, 0.223], + [17446, 0.233], [17447, 0.148], [17448, 0.228], [17449, 0.233], + [17450, 0.234], [17451, 0.255], [17452, 0.031], [17453, 0.026], + [17454, 0.008], [17455, 0.035], [17456, 0.015], [17457, 0.121], + [17458, 0.077], [17459, 0.185], [17460, 0.161], [17461, 0.047], + [17462, 0.043], [17463, 0.051], [17464, 0.041], [17465, 0.052], + [17466, 0.221], [17467, 0.234], [17468, 0.207], [17469, 0.203], + [17470, 0.237], [17471, 0.204], [17472, 0.184], [17473, 0.199], + [17474, 0.266], [17475, 0.25], [17476, 0.253], [17477, 0.255], + [17478, 0.211], [17479, 0.271], [17480, 0.321], [17481, 0.305], + [17482, 0.204], [17483, 0.179], [17484, 0.266], [17485, 0.184], + [17486, 0.177], [17487, 0.188], [17488, 0.207], [17489, 0.18], + [17490, 0.171], [17491, 0.253], [17492, 0.247], [17493, 0.289], + [17494, 0.303], [17495, 0.315], [17496, 0.209], [17497, 0.206], + [17498, 0.141], [17499, 0.125], [17500, 0.149], [17501, 0.123], + [17502, 0.104], [17503, 0.118], [17504, 0.141], [17505, 0.113], + [17506, 0.101], [17507, 0.161], [17508, 0.177], [17509, 0.17], + [17510, 0.165], [17511, 0.191], [17512, 0.035], [17513, 0.039], + [17514, 0.023], [17515, 0.032], [17516, 0.032], [17517, 0.032], + [17518, 0.029], [17519, 0.023], [17520, 0.014], [17521, 0.025], + [17522, 0.025], [17523, 0.011], [17524, 0.013], [17525, 0.016], + [17526, 0.022], [17527, 0.032], [17528, 0.015], [17529, 0.012], + [17530, 0.011], [17531, 0.01], [17532, 0.009], [17533, 0.01], + [17534, 0.01], [17535, 0.011], [17536, 0.008], [17537, 0.014], + [17538, 0.014], [17539, 0.003], [17540, 0.007], [17541, 0.008], + [17542, 0.011], [17543, 0.011], [17728, 0.186], [17729, 0.224], + [17730, 0.257], [17731, 0.275], [17732, 0.167], [17733, 0.014], + [17734, 0.006], [17746, 0.045], [17747, 0.043], [17748, 0.04], + [17749, 0.046], [17750, 0.059], [17751, 0.075], [17752, 0.078], + [17753, 0.082], [17754, 0.091], [17755, 0.071], [17756, 0.067], + [17757, 0.063], [17758, 0.051], [17759, 0.039], [17760, 0.039], + [17761, 0.045], [17762, 0.058], [17843, 0.002], [17844, 0.005], + [17845, 0.011], [17846, 0.029], [17847, 0.047], [17848, 0.071], + [17849, 0.075], [17850, 0.054], [17851, 0.079], [17852, 0.101], + [17854, 0.057], [17855, 0.066], [17856, 0.078], [17857, 0.072], + [17858, 0.064], [17859, 0.036], [17860, 0.011], [17861, 0.004], + [17862, 0.002], [17958, 0.005], [17959, 0.008], [17960, 0.007], + [17961, 0.003], [17962, 0.009], [17963, 0.019], [17964, 0.006], + [17965, 0.018], [17966, 0.032], [17967, 0.04], [17968, 0.002], + [17969, 0.045], [17970, 0.038], [17972, 0.014], [17973, 0.038], + [18035, 0.011], [18038, 0.128], [18039, 0.04], [18040, 0.06], + [18041, 0.007], [18042, 0.019], [18043, 0.152], [18044, 0.118], + [18045, 0.084], [18046, 0.031], [18047, 0.014], [18048, 0.075], + [18049, 0.014], [18050, 0.012], [18051, 0.01], [18052, 0.009], + [18053, 0.08], [18054, 0.062], [18055, 0.043], [18056, 0.032], + [18057, 0.02], [18058, 0.023], [18059, 0.119], [18060, 0.082], + [18061, 0.037], [18063, 0.129], [18064, 0.053], [18065, 0.106], + [18066, 0.15], [18067, 0.242], [18068, 0.17], [18069, 0.222], + [18070, 0.008], [18071, 0.021], [18072, 0.034], [18073, 0.009], + [18089, 0.014], [18091, 0.22], [18092, 0.183], [18093, 0.155], + [18094, 0.134], [18095, 0.131], [18096, 0.075], [18097, 0.274], + [18098, 0.221], [18099, 0.114], [18100, 0.023], [18101, 0.325], + [18102, 0.153], [18103, 0.235], [18104, 0.249], [18105, 0.341], + [18106, 0.312], [18107, 0.363], [18108, 0.118], [18109, 0.068], + [18117, 0.114], [18119, 0.057], [18126, 0.17], [18127, 0.298], + [18128, 0.245], [18129, 0.201], [18130, 0.197], [18131, 0.18], + [18132, 0.039], [18133, 0.512], [18134, 0.454], [18135, 0.341], + [18136, 0.227], [18137, 0.542], [18138, 0.398], [18139, 0.283], + [18140, 0.436], [18141, 0.512], [18142, 0.527], [18143, 0.545], + [18144, 0.157], [18145, 0.284], [18149, 0.047], [18150, 0.095], + [18153, 0.169], [18155, 0.084], [18161, 0.142], [18162, 0.255], + [18163, 0.522], [18164, 0.461], [18165, 0.38], [18166, 0.332], + [18167, 0.285], [18168, 0.19], [18169, 0.654], [18170, 0.663], + [18171, 0.507], [18172, 0.342], [18173, 0.679], [18174, 0.588], + [18175, 0.496], [18176, 0.612], [18177, 0.701], [18178, 0.697], + [18179, 0.726], [18180, 0.237], [18181, 0.425], [18185, 0.082], + [18186, 0.164], [18189, 0.145], [18191, 0.073], [18197, 0.245], + [18198, 0.218], [18199, 0.684], [18200, 0.694], [18201, 0.655], + [18202, 0.573], [18203, 0.491], [18204, 0.327], [18205, 0.53], + [18206, 0.573], [18207, 0.435], [18208, 0.29], [18209, 0.505], + [18210, 0.508], [18211, 0.701], [18212, 0.682], [18213, 0.687], + [18214, 0.524], [18215, 0.617], [18216, 0.409], [18217, 0.363], + [18221, 0.101], [18222, 0.201], [18225, 0.11], [18227, 0.055], + [18233, 0.302], [18234, 0.164], [18235, 0.612], [18236, 0.728], + [18237, 0.805], [18238, 0.704], [18239, 0.603], [18240, 0.402], + [18241, 0.361], [18242, 0.438], [18243, 0.33], [18244, 0.219], + [18245, 0.345], [18246, 0.384], [18247, 0.685], [18248, 0.481], + [18249, 0.447], [18250, 0.34], [18251, 0.38], [18252, 0.503], + [18253, 0.274], [18257, 0.064], [18258, 0.128], [18261, 0.081], + [18263, 0.04], [18269, 0.192], [18270, 0.122], [18271, 0.39], + [18272, 0.414], [18273, 0.512], [18274, 0.448], [18275, 0.384], + [18276, 0.256], [18277, 0.278], [18278, 0.323], [18279, 0.244], + [18280, 0.163], [18281, 0.268], [18282, 0.283], [18283, 0.404], + [18284, 0.361], [18285, 0.347], [18286, 0.262], [18287, 0.289], + [18288, 0.32], [18289, 0.203], [18293, 0.045], [18294, 0.09], + [18297, 0.053], [18299, 0.026], [18305, 0.135], [18306, 0.079], + [18307, 0.299], [18308, 0.313], [18309, 0.359], [18310, 0.315], + [18311, 0.271], [18312, 0.18], [18313, 0.195], [18314, 0.211], + [18315, 0.158], [18316, 0.105], [18317, 0.191], [18318, 0.184], + [18319, 0.303], [18320, 0.272], [18321, 0.262], [18322, 0.197], + [18323, 0.227], [18324, 0.225], [18325, 0.132], [18329, 0.026], + [18330, 0.052], [18333, 0.033], [18335, 0.017], [18341, 0.078], + [18342, 0.05], [18343, 0.196], [18344, 0.2], [18345, 0.209], + [18346, 0.183], [18347, 0.157], [18348, 0.105], [18349, 0.139], + [18350, 0.133], [18351, 0.1], [18352, 0.066], [18353, 0.152], + [18354, 0.116], [18355, 0.195], [18356, 0.176], [18357, 0.17], + [18358, 0.153], [18359, 0.162], [18360, 0.131], [18361, 0.083], + [18365, 0.017], [18366, 0.033], [18369, 0.018], [18371, 0.009], + [18377, 0.05], [18378, 0.027], [18379, 0.098], [18380, 0.089], + [18381, 0.133], [18382, 0.117], [18383, 0.1], [18384, 0.067], + [18385, 0.071], [18386, 0.072], [18387, 0.055], [18388, 0.036], + [18389, 0.077], [18390, 0.064], [18391, 0.086], [18392, 0.086], + [18393, 0.081], [18394, 0.08], [18395, 0.067], [18396, 0.083], + [18397, 0.045], [18413, 0.006], [18416, 0.017], [18417, 0.017], + [18418, 0.015], [18419, 0.013], [18420, 0.009], [18427, 0.014], + [18432, 0.011], [18870, 0.007], [18871, 0.007], [18934, 0.007] + ], + "upperleg01.R": [ + [4023, 0.001], [4035, 0.003], [4036, 0.004], [4037, 0.004], + [4038, 0.001], [4039, 0.001], [4040, 0.001], [4047, 0.003], + [4048, 0.003], [4049, 0.004], [4050, 0.006], [4051, 0.007], + [4052, 0.008], [4054, 0.006], [4055, 0.004], [4056, 0.003], + [4057, 0.003], [4058, 0.002], [4059, 0.002], [4061, 0.006], + [4062, 0.007], [4063, 0.007], [4074, 0.003], [4096, 0.002], + [4097, 0.002], [4104, 0.003], [4105, 0.003], [4108, 0.001], + [4109, 0.002], [4110, 0.001], [4122, 0.003], [4123, 0.001], + [4124, 0.005], [4125, 0.004], [4126, 0.005], [4127, 0.006], + [4128, 0.012], [4129, 0.015], [4130, 0.016], [4131, 0.013], + [4132, 0.014], [4133, 0.005], [4134, 0.003], [4135, 0.011], + [4136, 0.008], [4137, 0.01], [4138, 0.013], [4139, 0.002], + [4140, 0.002], [4141, 0.001], [4142, 0.002], [4143, 0.002], + [4144, 0.002], [4145, 0.002], [4146, 0.001], [4149, 0.003], + [4150, 0.002], [4152, 0.002], [4153, 0.002], [4157, 0.001], + [4158, 0.001], [4159, 0.001], [4160, 0.002], [4161, 0.021], + [4162, 0.005], [4163, 0.01], [4164, 0.028], [4165, 0.026], + [4166, 0.032], [4167, 0.029], [4168, 0.023], [4169, 0.025], + [4170, 0.02], [4171, 0.016], [4172, 0.007], [4173, 0.013], + [4174, 0.027], [4175, 0.011], [4176, 0.009], [4177, 0.007], + [4178, 0.006], [4179, 0.005], [4180, 0.004], [4181, 0.002], + [4182, 0.023], [4183, 0.018], [4184, 0.014], [4185, 0.013], + [4186, 0.011], [4187, 0.007], [4188, 0.004], [4189, 0.047], + [4190, 0.037], [4191, 0.029], [4192, 0.025], [4193, 0.022], + [4194, 0.016], [4195, 0.008], [4196, 0.014], [4197, 0.029], + [4198, 0.113], [4199, 0.178], [4200, 0.141], [4201, 0.114], + [4202, 0.1], [4203, 0.089], [4204, 0.063], [4205, 0.032], + [4206, 0.12], [4207, 0.213], [4208, 0.227], [4209, 0.238], + [4210, 0.197], [4211, 0.164], [4212, 0.144], [4213, 0.12], + [4214, 0.082], [4215, 0.041], [4216, 0.277], [4217, 0.305], + [4218, 0.255], [4219, 0.214], [4220, 0.184], [4221, 0.152], + [4222, 0.098], [4223, 0.049], [4224, 0.308], [4225, 0.35], + [4226, 0.371], [4227, 0.313], [4228, 0.263], [4229, 0.224], + [4230, 0.183], [4231, 0.113], [4232, 0.057], [4233, 0.389], + [4234, 0.422], [4235, 0.514], [4236, 0.41], [4237, 0.323], + [4238, 0.258], [4239, 0.209], [4240, 0.108], [4241, 0.054], + [4242, 0.469], [4243, 0.525], [4244, 0.657], [4245, 0.508], + [4246, 0.384], [4247, 0.293], [4248, 0.236], [4249, 0.103], + [4250, 0.052], [4251, 0.597], [4252, 0.628], [4253, 0.737], + [4254, 0.583], [4255, 0.384], [4256, 0.272], [4257, 0.19], + [4258, 0.096], [4259, 0.048], [4260, 0.725], [4261, 0.736], + [4262, 0.731], [4263, 0.674], [4264, 0.326], [4265, 0.263], + [4266, 0.122], [4267, 0.061], [4268, 0.768], [4269, 0.12], + [4270, 0.109], [4271, 0.132], [4272, 0.122], [4273, 0.097], + [4274, 0.106], [4275, 0.233], [4276, 0.207], [4277, 0.257], + [4278, 0.236], [4279, 0.193], [4280, 0.21], [4281, 0.361], + [4282, 0.288], [4283, 0.37], [4284, 0.351], [4285, 0.327], + [4286, 0.329], [4287, 0.489], [4288, 0.382], [4289, 0.462], + [4290, 0.441], [4291, 0.43], [4292, 0.425], [4293, 0.613], + [4294, 0.474], [4295, 0.552], [4296, 0.529], [4297, 0.53], + [4298, 0.519], [4299, 0.612], [4300, 0.541], [4301, 0.561], + [4302, 0.542], [4303, 0.537], [4304, 0.54], [4305, 0.611], + [4306, 0.608], [4307, 0.57], [4308, 0.555], [4309, 0.544], + [4310, 0.561], [4311, 0.606], [4312, 0.638], [4313, 0.57], + [4314, 0.572], [4315, 0.584], [4316, 0.592], [4317, 0.006], + [4318, 0.088], [4319, 0.022], [4320, 0.042], [4321, 0.079], + [4322, 0.064], [4323, 0.012], [4324, 0.18], [4325, 0.045], + [4326, 0.087], [4327, 0.158], [4328, 0.129], [4329, 0.03], + [4330, 0.317], [4331, 0.111], [4332, 0.169], [4333, 0.291], + [4334, 0.264], [4335, 0.049], [4336, 0.42], [4337, 0.177], + [4338, 0.249], [4339, 0.396], [4340, 0.382], [4341, 0.067], + [4342, 0.52], [4343, 0.243], [4344, 0.328], [4345, 0.498], + [4346, 0.499], [4347, 0.079], [4348, 0.539], [4349, 0.304], + [4350, 0.448], [4351, 0.535], [4352, 0.552], [4353, 0.558], + [4354, 0.537], [4355, 0.572], [4356, 0.606], [4357, 0.012], + [4358, 0.024], [4359, 0.059], [4360, 0.097], [4361, 0.134], + [4362, 0.159], [4363, 0.039], [4364, 0.032], [4365, 0.01], + [4366, 0.006], [4367, 0.003], [4368, 0.043], [4369, 0.021], + [4370, 0.091], [4371, 0.183], [4372, 0.076], [4373, 0.151], + [4374, 0.072], [4375, 0.144], [4376, 0.055], [4377, 0.109], + [4378, 0.366], [4379, 0.335], [4380, 0.396], [4381, 0.296], + [4382, 0.481], [4383, 0.434], [4384, 0.37], [4385, 0.366], + [4386, 0.033], [4387, 0.016], [4388, 0.094], [4389, 0.073], + [4390, 0.059], [4391, 0.061], [4392, 0.052], [4393, 0.045], + [4394, 0.058], [4395, 0.06], [4396, 0.06], [4397, 0.052], + [4398, 0.048], [4399, 0.065], [4400, 0.054], [4401, 0.727], + [4402, 0.716], [4403, 0.539], [4404, 0.618], [4405, 0.558], + [4406, 0.575], [4407, 0.588], [4408, 0.569], [4409, 0.554], + [4410, 0.554], [4411, 0.528], [4412, 0.466], [4413, 0.405], + [4414, 0.43], [4415, 0.558], [4416, 0.558], [4417, 0.54], + [4418, 0.542], [4419, 0.607], [4420, 0.557], [4421, 0.562], + [4422, 0.544], [4423, 0.635], [4424, 0.667], [4425, 0.663], + [4426, 0.688], [4427, 0.435], [4428, 0.536], [4429, 0.54], + [4430, 0.573], [4431, 0.661], [4432, 0.715], [4433, 0.687], + [4434, 0.567], [4435, 0.594], [4436, 0.621], [4437, 0.493], + [4438, 0.51], [4439, 0.528], [4440, 0.549], [4441, 0.531], + [4442, 0.567], [4443, 0.521], [4444, 0.504], [4445, 0.624], + [4446, 0.6], [4447, 0.67], [4448, 0.693], [4449, 0.522], + [4450, 0.715], [4451, 0.609], [4452, 0.593], [4453, 0.489], + [4454, 0.481], [4455, 0.487], [4456, 0.452], [4457, 0.454], + [4458, 0.42], [4459, 0.466], [4460, 0.468], [4461, 0.489], + [4462, 0.463], [4463, 0.439], [4464, 0.511], [4465, 0.552], + [4466, 0.534], [4467, 0.503], [4468, 0.428], [4469, 0.578], + [4470, 0.485], [4471, 0.494], [4472, 0.391], [4473, 0.406], + [4474, 0.408], [4475, 0.367], [4476, 0.381], [4477, 0.315], + [4478, 0.367], [4479, 0.339], [4480, 0.386], [4481, 0.334], + [4482, 0.311], [4483, 0.398], [4484, 0.395], [4485, 0.394], + [4486, 0.404], [4487, 0.301], [4488, 0.451], [4489, 0.204], + [4490, 0.229], [4491, 0.168], [4492, 0.21], [4493, 0.207], + [4494, 0.206], [4495, 0.205], [4496, 0.194], [4497, 0.201], + [4498, 0.17], [4499, 0.125], [4500, 0.174], [4501, 0.175], + [4502, 0.119], [4503, 0.127], [4504, 0.131], [4505, 0.155], + [4506, 0.175], [4507, 0.191], [4508, 0.141], [4509, 0.14], + [4510, 0.122], [4511, 0.121], [4512, 0.102], [4513, 0.12], + [4514, 0.118], [4515, 0.119], [4516, 0.115], [4517, 0.128], + [4518, 0.1], [4519, 0.144], [4520, 0.144], [4521, 0.064], + [4522, 0.095], [4523, 0.104], [4524, 0.124], [4525, 0.135], + [4526, 0.135], [4527, 0.042], [4528, 0.044], [4529, 0.066], + [4530, 0.048], [4531, 0.038], [4532, 0.04], [4533, 0.045], + [4534, 0.025], [4535, 0.03], [4536, 0.062], [4537, 0.06], + [4538, 0.059], [4539, 0.056], [4540, 0.021], [4541, 0.018], + [4543, 0.014], [4544, 0.035], [4545, 0.043], [4548, 0.014], + [4555, 0.012], [4556, 0.024], [4557, 0.008], [6335, 0.38], + [6390, 0.151], [6392, 0.387], [6393, 0.492], [6394, 0.568], + [6395, 0.692], [6396, 0.647], [6397, 0.539], [6398, 0.352], + [6399, 0.126], [6400, 0.087], [6401, 0.009], [6431, 0.076], + [6736, 0.249], [6737, 0.231], [6738, 0.222], [6739, 0.216], + [6740, 0.25], [6741, 0.299], [6742, 0.32], [6743, 0.33], + [6744, 0.333], [6745, 0.304], [6746, 0.307], [6747, 0.294], + [6748, 0.281], [6749, 0.288], [6750, 0.247], [6751, 0.222], + [6752, 0.213], [6753, 0.218], [6754, 0.238], [6755, 0.278], + [15128, 0.078], [15129, 0.253], [15130, 0.248], [15131, 0.21], + [15132, 0.196], [15133, 0.103], [15134, 0.215], [15135, 0.103], + [15136, 0.112], [15137, 0.283], [15138, 0.222], [15147, 0.235], + [15148, 0.228], [15149, 0.078], [15150, 0.248], [15151, 0.121], + [15152, 0.074], [15153, 0.194], [15154, 0.094], [15155, 0.094], + [15156, 0.152], [15157, 0.149], [15158, 0.258], [15159, 0.172], + [15160, 0.257], [15161, 0.272], [15162, 0.209], [15163, 0.115], + [15170, 0.103], [15177, 0.106], [15178, 0.103], [15179, 0.227], + [15180, 0.132], [15181, 0.221], [15182, 0.252], [15183, 0.07], + [15186, 0.132], [15190, 0.138], [15216, 0.103], [15228, 0.258], + [15236, 0.069], [15238, 0.123], [15239, 0.117], [15240, 0.147], + [15241, 0.18], [15242, 0.284], [15250, 0.11], [15251, 0.126], + [15252, 0.103], [15260, 0.064], [15261, 0.12], [15263, 0.046], + [15265, 0.047], [15267, 0.058], [15271, 0.025], [15273, 0.034], + [15275, 0.009], [15277, 0.009], [15324, 0.091], [15587, 0.148], + [15598, 0.195], [15605, 0.033], [15610, 0.012], [15658, 0.146], + [15685, 0.237], [15692, 0.279], [15701, 0.357], [15712, 0.045], + [15773, 0.019], [15805, 0.106], [15827, 0.072], [15902, 0.002], + [15903, 0.006], [15990, 0.002], [15992, 0.002], [15993, 0.002], + [16001, 0.001], [16013, 0.001], [16019, 0.002], [16020, 0.002], + [16021, 0.007], [16022, 0.007], [16023, 0.002], [16024, 0.001], + [16025, 0.005], [16026, 0.004], [16027, 0.005], [16028, 0.006], + [16030, 0.001], [16033, 0.015], [16034, 0.003], [16035, 0.006], + [16036, 0.02], [16037, 0.02], [16038, 0.017], [16039, 0.013], + [16040, 0.011], [16041, 0.006], [16042, 0.018], [16043, 0.005], + [16044, 0.004], [16045, 0.003], [16046, 0.002], [16047, 0.015], + [16048, 0.011], [16049, 0.009], [16050, 0.007], [16051, 0.036], + [16052, 0.028], [16053, 0.023], [16054, 0.017], [16055, 0.006], + [16056, 0.019], [16057, 0.081], [16058, 0.064], [16059, 0.052], + [16060, 0.042], [16061, 0.104], [16062, 0.113], [16063, 0.124], + [16064, 0.103], [16065, 0.088], [16066, 0.071], [16067, 0.169], + [16068, 0.159], [16069, 0.166], [16070, 0.142], [16071, 0.12], + [16072, 0.104], [16073, 0.243], [16074, 0.214], [16075, 0.268], + [16076, 0.223], [16077, 0.172], [16078, 0.131], [16079, 0.275], + [16080, 0.362], [16081, 0.291], [16082, 0.185], [16083, 0.117], + [16084, 0.31], [16085, 0.268], [16086, 0.146], [16087, 0.376], + [16088, 0.121], [16089, 0.125], [16090, 0.099], [16091, 0.198], + [16092, 0.203], [16093, 0.177], [16094, 0.264], [16095, 0.252], + [16096, 0.236], [16097, 0.249], [16098, 0.234], [16099, 0.225], + [16100, 0.232], [16101, 0.217], [16102, 0.233], [16103, 0.094], + [16104, 0.02], [16105, 0.035], [16106, 0.085], [16107, 0.063], + [16108, 0.176], [16109, 0.059], [16110, 0.092], [16111, 0.161], + [16112, 0.156], [16113, 0.232], [16114, 0.113], [16115, 0.154], + [16116, 0.223], [16117, 0.233], [16118, 0.148], [16119, 0.228], + [16120, 0.233], [16121, 0.234], [16122, 0.255], [16123, 0.031], + [16124, 0.026], [16125, 0.008], [16126, 0.035], [16127, 0.015], + [16128, 0.121], [16129, 0.077], [16130, 0.185], [16131, 0.161], + [16132, 0.047], [16133, 0.043], [16134, 0.051], [16135, 0.041], + [16136, 0.052], [16137, 0.221], [16138, 0.234], [16139, 0.207], + [16140, 0.203], [16141, 0.237], [16142, 0.204], [16143, 0.184], + [16144, 0.199], [16145, 0.266], [16146, 0.25], [16147, 0.253], + [16148, 0.255], [16149, 0.211], [16150, 0.271], [16151, 0.321], + [16152, 0.305], [16153, 0.204], [16154, 0.179], [16155, 0.266], + [16156, 0.184], [16157, 0.177], [16158, 0.188], [16159, 0.207], + [16160, 0.18], [16161, 0.171], [16162, 0.253], [16163, 0.247], + [16164, 0.289], [16165, 0.303], [16166, 0.315], [16167, 0.209], + [16168, 0.206], [16169, 0.141], [16170, 0.125], [16171, 0.149], + [16172, 0.123], [16173, 0.104], [16174, 0.118], [16175, 0.141], + [16176, 0.113], [16177, 0.101], [16178, 0.161], [16179, 0.177], + [16180, 0.17], [16181, 0.165], [16182, 0.191], [16183, 0.035], + [16184, 0.039], [16185, 0.023], [16186, 0.032], [16187, 0.032], + [16188, 0.032], [16189, 0.029], [16190, 0.023], [16191, 0.014], + [16192, 0.025], [16193, 0.025], [16194, 0.011], [16195, 0.013], + [16196, 0.016], [16197, 0.022], [16198, 0.032], [16199, 0.015], + [16200, 0.012], [16201, 0.011], [16202, 0.01], [16203, 0.009], + [16204, 0.01], [16205, 0.01], [16206, 0.011], [16207, 0.008], + [16208, 0.014], [16209, 0.014], [16210, 0.003], [16211, 0.007], + [16212, 0.008], [16213, 0.011], [16214, 0.011], [16399, 0.186], + [16400, 0.224], [16401, 0.257], [16402, 0.275], [16403, 0.167], + [16404, 0.014], [16405, 0.006], [16417, 0.045], [16418, 0.043], + [16419, 0.04], [16420, 0.046], [16421, 0.059], [16422, 0.075], + [16423, 0.078], [16424, 0.082], [16425, 0.091], [16426, 0.071], + [16427, 0.067], [16428, 0.063], [16429, 0.051], [16430, 0.039], + [16431, 0.039], [16432, 0.045], [16433, 0.058], [16509, 0.002], + [16510, 0.005], [16511, 0.011], [16512, 0.029], [16513, 0.047], + [16514, 0.071], [16515, 0.075], [16516, 0.054], [16517, 0.079], + [16518, 0.101], [16520, 0.057], [16521, 0.066], [16522, 0.078], + [16523, 0.072], [16524, 0.064], [16525, 0.036], [16526, 0.011], + [16527, 0.004], [16528, 0.002], [17378, 0.002], [17389, 0.014], + [17853, 0.119], [17854, 0.019], [17855, 0.009], [17856, 0.011], + [17857, 0.005], [17958, 0.005], [17959, 0.008], [17960, 0.007], + [17961, 0.003], [17962, 0.009], [17963, 0.019], [17964, 0.006], + [17965, 0.018], [17966, 0.032], [17967, 0.04], [17968, 0.002], + [17969, 0.045], [17970, 0.038], [17972, 0.014], [17973, 0.038], + [18002, 0.128], [18003, 0.04], [18005, 0.06], [18006, 0.007], + [18007, 0.019], [18008, 0.152], [18009, 0.118], [18010, 0.084], + [18011, 0.031], [18012, 0.014], [18013, 0.075], [18014, 0.014], + [18015, 0.012], [18016, 0.01], [18017, 0.009], [18019, 0.08], + [18020, 0.062], [18021, 0.043], [18022, 0.032], [18023, 0.023], + [18024, 0.119], [18025, 0.082], [18026, 0.037], [18027, 0.129], + [18028, 0.053], [18029, 0.106], [18030, 0.15], [18031, 0.242], + [18032, 0.17], [18033, 0.222], [18034, 0.008], [18035, 0.021], + [18036, 0.034], [18037, 0.009], [18057, 0.02], [18071, 0.011], + [18074, 0.22], [18075, 0.183], [18076, 0.155], [18077, 0.134], + [18078, 0.131], [18079, 0.274], [18080, 0.221], [18081, 0.114], + [18082, 0.325], [18083, 0.153], [18084, 0.235], [18085, 0.249], + [18086, 0.341], [18087, 0.312], [18088, 0.363], [18089, 0.118], + [18090, 0.068], [18096, 0.075], [18100, 0.023], [18108, 0.014], + [18110, 0.298], [18111, 0.245], [18112, 0.201], [18113, 0.197], + [18114, 0.18], [18115, 0.512], [18116, 0.454], [18117, 0.341], + [18118, 0.542], [18119, 0.398], [18120, 0.283], [18121, 0.436], + [18122, 0.512], [18123, 0.527], [18124, 0.545], [18125, 0.157], + [18126, 0.284], [18132, 0.039], [18135, 0.114], [18136, 0.227], + [18138, 0.057], [18145, 0.17], [18146, 0.522], [18147, 0.461], + [18148, 0.38], [18149, 0.332], [18150, 0.285], [18151, 0.654], + [18152, 0.663], [18153, 0.507], [18154, 0.679], [18155, 0.588], + [18156, 0.496], [18157, 0.612], [18158, 0.701], [18159, 0.697], + [18160, 0.726], [18161, 0.237], [18162, 0.425], [18166, 0.047], + [18167, 0.095], [18168, 0.19], [18171, 0.169], [18172, 0.342], + [18174, 0.084], [18180, 0.142], [18181, 0.255], [18182, 0.684], + [18183, 0.694], [18184, 0.655], [18185, 0.573], [18186, 0.491], + [18187, 0.53], [18188, 0.573], [18189, 0.435], [18190, 0.505], + [18191, 0.508], [18192, 0.701], [18193, 0.682], [18194, 0.687], + [18195, 0.524], [18196, 0.617], [18197, 0.409], [18198, 0.363], + [18202, 0.082], [18203, 0.164], [18204, 0.327], [18207, 0.145], + [18208, 0.29], [18210, 0.073], [18216, 0.245], [18217, 0.218], + [18218, 0.612], [18219, 0.728], [18220, 0.805], [18221, 0.704], + [18222, 0.603], [18223, 0.361], [18224, 0.438], [18225, 0.33], + [18226, 0.345], [18227, 0.384], [18228, 0.685], [18229, 0.481], + [18230, 0.447], [18231, 0.34], [18232, 0.38], [18233, 0.503], + [18234, 0.274], [18238, 0.101], [18239, 0.201], [18240, 0.402], + [18243, 0.11], [18244, 0.219], [18246, 0.055], [18252, 0.302], + [18253, 0.164], [18254, 0.39], [18255, 0.414], [18256, 0.512], + [18257, 0.448], [18258, 0.384], [18259, 0.278], [18260, 0.323], + [18261, 0.244], [18262, 0.268], [18263, 0.283], [18264, 0.404], + [18265, 0.361], [18266, 0.347], [18267, 0.262], [18268, 0.289], + [18269, 0.32], [18270, 0.203], [18274, 0.064], [18275, 0.128], + [18276, 0.256], [18279, 0.081], [18280, 0.163], [18282, 0.04], + [18288, 0.192], [18289, 0.122], [18290, 0.299], [18291, 0.313], + [18292, 0.359], [18293, 0.315], [18294, 0.271], [18295, 0.195], + [18296, 0.211], [18297, 0.158], [18298, 0.191], [18299, 0.184], + [18300, 0.303], [18301, 0.272], [18302, 0.262], [18303, 0.197], + [18304, 0.227], [18305, 0.225], [18306, 0.132], [18310, 0.045], + [18311, 0.09], [18312, 0.18], [18315, 0.053], [18316, 0.105], + [18318, 0.026], [18324, 0.135], [18325, 0.079], [18326, 0.196], + [18327, 0.2], [18328, 0.209], [18329, 0.183], [18330, 0.157], + [18331, 0.139], [18332, 0.133], [18333, 0.1], [18334, 0.152], + [18335, 0.116], [18336, 0.195], [18337, 0.176], [18338, 0.17], + [18339, 0.153], [18340, 0.162], [18341, 0.131], [18342, 0.083], + [18346, 0.026], [18347, 0.052], [18348, 0.105], [18351, 0.033], + [18352, 0.066], [18354, 0.017], [18360, 0.078], [18361, 0.05], + [18362, 0.098], [18363, 0.089], [18364, 0.133], [18365, 0.117], + [18366, 0.1], [18367, 0.071], [18368, 0.072], [18369, 0.055], + [18370, 0.077], [18371, 0.064], [18372, 0.086], [18373, 0.086], + [18374, 0.081], [18375, 0.08], [18376, 0.067], [18377, 0.083], + [18378, 0.045], [18382, 0.017], [18383, 0.033], [18384, 0.067], + [18387, 0.018], [18388, 0.036], [18390, 0.009], [18396, 0.05], + [18397, 0.027], [18399, 0.017], [18400, 0.017], [18401, 0.015], + [18402, 0.013], [18408, 0.014], [18413, 0.011], [18420, 0.009], + [18432, 0.006], [19084, 0.007], [19085, 0.007], [19148, 0.007] + ], + "upperleg02.L": [ + [4329, 0.004], [4335, 0.008], [4341, 0.012], [4347, 0.012], + [4370, 0.013], [4372, 0.003], [4374, 0.002], [6431, 0.003], + [10767, 0.001], [10769, 0.001], [10770, 0.001], [10771, 0.002], + [10772, 0.001], [10773, 0.002], [10776, 0.001], [10778, 0.002], + [10779, 0.001], [10780, 0.002], [10781, 0.002], [10802, 0.004], + [10803, 0.002], [10804, 0.003], [10807, 0.003], [10808, 0.002], + [10809, 0.003], [10810, 0.004], [10811, 0.004], [10812, 0.002], + [10836, 0.001], [10844, 0.003], [10852, 0.007], [10860, 0.015], + [10868, 0.022], [10876, 0.051], [10884, 0.08], [10885, 0.007], + [10892, 0.043], [10893, 0.108], [10894, 0.131], [10898, 0.019], + [10899, 0.004], [10900, 0.002], [10901, 0.011], [10902, 0.01], + [10903, 0.014], [10904, 0.016], [10905, 0.007], [10906, 0.005], + [10907, 0.023], [10908, 0.019], [10909, 0.027], [10910, 0.032], + [10911, 0.018], [10912, 0.011], [10913, 0.056], [10914, 0.048], + [10915, 0.068], [10916, 0.08], [10917, 0.038], [10918, 0.024], + [10919, 0.101], [10920, 0.09], [10921, 0.118], [10922, 0.134], + [10923, 0.058], [10924, 0.036], [10925, 0.146], [10926, 0.132], + [10927, 0.168], [10928, 0.187], [10929, 0.125], [10930, 0.083], + [10931, 0.232], [10932, 0.21], [10933, 0.252], [10934, 0.259], + [10935, 0.191], [10936, 0.13], [10937, 0.318], [10938, 0.287], + [10939, 0.336], [10940, 0.331], [10941, 0.242], [10942, 0.184], + [10943, 0.362], [10944, 0.311], [10945, 0.35], [10946, 0.312], + [10947, 0.018], [10948, 0.006], [10949, 0.011], [10950, 0.016], + [10951, 0.009], [10952, 0.036], [10953, 0.012], [10954, 0.022], + [10955, 0.032], [10956, 0.019], [10957, 0.091], [10958, 0.03], + [10959, 0.056], [10960, 0.081], [10961, 0.046], [10962, 0.144], + [10963, 0.047], [10964, 0.086], [10965, 0.135], [10966, 0.086], + [10967, 0.196], [10968, 0.065], [10969, 0.117], [10970, 0.19], + [10971, 0.125], [10972, 0.257], [10973, 0.05], [10974, 0.142], + [10975, 0.246], [10976, 0.188], [10977, 0.319], [10978, 0.211], + [10979, 0.301], [10980, 0.251], [10981, 0.002], [10982, 0.004], + [10983, 0.009], [10984, 0.016], [10985, 0.023], [10986, 0.025], + [10987, 0.008], [10988, 0.005], [10989, 0.003], [10991, 0.009], + [10992, 0.006], [10993, 0.026], [10994, 0.006], [10995, 0.005], + [10997, 0.034], [10998, 0.018], [10999, 0.008], [11001, 0.1], + [11002, 0.106], [11003, 0.071], [11013, 0.005], [11014, 0.002], + [11015, 0.008], [11016, 0.007], [11017, 0.006], [11018, 0.001], + [11019, 0.135], [11020, 0.134], [11021, 0.375], [11022, 0.275], + [11023, 0.387], [11024, 0.349], [11025, 0.331], [11026, 0.25], + [11027, 0.37], [11028, 0.393], [11029, 0.21], [11030, 0.252], + [11031, 0.167], [11032, 0.118], [11033, 0.371], [11034, 0.31], + [11035, 0.408], [11036, 0.413], [11037, 0.223], [11038, 0.255], + [11039, 0.211], [11040, 0.167], [11041, 0.279], [11042, 0.242], + [11043, 0.214], [11044, 0.181], [11045, 0.049], [11046, 0.395], + [11047, 0.402], [11048, 0.105], [11049, 0.193], [11050, 0.187], + [11051, 0.203], [11052, 0.4], [11053, 0.337], [11054, 0.296], + [11055, 0.459], [11056, 0.433], [11057, 0.431], [11058, 0.406], + [11059, 0.425], [11060, 0.393], [11061, 0.44], [11062, 0.457], + [11063, 0.318], [11064, 0.347], [11065, 0.255], [11066, 0.234], + [11067, 0.437], [11068, 0.198], [11069, 0.342], [11070, 0.353], + [11071, 0.494], [11072, 0.484], [11073, 0.471], [11074, 0.523], + [11075, 0.517], [11076, 0.56], [11077, 0.511], [11078, 0.51], + [11079, 0.498], [11080, 0.517], [11081, 0.542], [11082, 0.463], + [11083, 0.422], [11084, 0.431], [11085, 0.465], [11086, 0.551], + [11087, 0.382], [11088, 0.515], [11089, 0.506], [11090, 0.609], + [11091, 0.594], [11092, 0.591], [11093, 0.633], [11094, 0.619], + [11095, 0.686], [11096, 0.633], [11097, 0.661], [11098, 0.614], + [11099, 0.666], [11100, 0.689], [11101, 0.602], [11102, 0.605], + [11103, 0.606], [11104, 0.596], [11105, 0.699], [11106, 0.549], + [11107, 0.796], [11108, 0.771], [11109, 0.832], [11110, 0.79], + [11111, 0.793], [11112, 0.794], [11113, 0.795], [11114, 0.806], + [11115, 0.799], [11116, 0.83], [11117, 0.875], [11118, 0.826], + [11119, 0.825], [11120, 0.881], [11121, 0.873], [11122, 0.869], + [11123, 0.845], [11124, 0.825], [11125, 0.809], [11126, 0.859], + [11127, 0.86], [11128, 0.878], [11129, 0.871], [11130, 0.898], + [11131, 0.866], [11132, 0.871], [11133, 0.863], [11134, 0.868], + [11135, 0.872], [11136, 0.9], [11137, 0.856], [11138, 0.849], + [11139, 0.936], [11140, 0.905], [11141, 0.896], [11142, 0.876], + [11143, 0.851], [11144, 0.865], [11145, 0.958], [11146, 0.956], + [11147, 0.927], [11148, 0.942], [11149, 0.962], [11150, 0.927], + [11151, 0.934], [11152, 0.936], [11153, 0.933], [11154, 0.931], + [11155, 0.93], [11156, 0.931], [11157, 0.911], [11158, 0.966], + [11159, 0.97], [11160, 1.0], [11161, 0.986], [11162, 0.923], + [11163, 0.957], [11164, 0.976], [11165, 0.979], [11166, 0.969], + [11167, 0.989], [11168, 0.994], [11169, 0.955], [11170, 0.976], + [11171, 0.948], [11172, 0.949], [11173, 0.966], [11174, 0.957], + [11175, 0.945], [11176, 0.941], [11177, 0.98], [11178, 0.98], + [11179, 0.992], [11180, 1.0], [11181, 0.947], [11182, 1.0], + [11183, 0.951], [11184, 0.958], [11185, 0.969], [11186, 0.971], + [11187, 0.979], [11188, 0.929], [11189, 0.958], [11190, 0.921], + [11191, 0.922], [11192, 0.938], [11193, 0.963], [11194, 0.929], + [11195, 0.927], [11196, 0.965], [11197, 0.963], [11198, 0.984], + [11199, 0.98], [11200, 0.924], [11201, 0.988], [11202, 0.847], + [11203, 0.831], [11204, 0.866], [11205, 0.878], [11206, 0.867], + [11207, 0.823], [11208, 0.853], [11209, 0.833], [11210, 0.821], + [11211, 0.829], [11212, 0.893], [11213, 0.85], [11214, 0.855], + [11215, 0.892], [11216, 0.885], [11217, 0.901], [11218, 0.885], + [11219, 0.853], [11220, 0.836], [11221, 0.748], [11222, 0.698], + [11223, 0.774], [11224, 0.766], [11225, 0.754], [11226, 0.723], + [11227, 0.752], [11228, 0.746], [11229, 0.718], [11230, 0.714], + [11231, 0.82], [11232, 0.734], [11233, 0.76], [11234, 0.816], + [11235, 0.8], [11236, 0.798], [11237, 0.779], [11238, 0.777], + [11239, 0.662], [11240, 0.562], [11241, 0.471], [11242, 0.675], + [11243, 0.615], [11244, 0.53], [11245, 0.519], [11246, 0.586], + [11247, 0.581], [11248, 0.523], [11249, 0.641], [11250, 0.702], + [11251, 0.652], [11252, 0.653], [11253, 0.702], [11254, 0.702], + [11255, 0.671], [11256, 0.646], [11257, 0.643], [11258, 0.47], + [11259, 0.427], [11260, 0.226], [11261, 0.55], [11262, 0.462], + [11263, 0.458], [11264, 0.385], [11265, 0.417], [11266, 0.463], + [11267, 0.391], [11268, 0.516], [11269, 0.576], [11270, 0.498], + [11271, 0.505], [11272, 0.56], [11273, 0.593], [11274, 0.451], + [11275, 0.25], [11276, 0.511], [11277, 0.211], [11278, 0.205], + [11279, 0.084], [11280, 0.287], [11281, 0.233], [11282, 0.234], + [11283, 0.17], [11284, 0.163], [11285, 0.318], [11286, 0.257], + [11287, 0.286], [11288, 0.27], [11289, 0.293], [11290, 0.306], + [11291, 0.263], [11292, 0.277], [11293, 0.106], [11294, 0.048], + [11295, 0.322], [11296, 0.087], [11297, 0.045], [11298, 0.02], + [11299, 0.017], [11300, 0.066], [11301, 0.053], [11302, 0.021], + [11303, 0.044], [11304, 0.1], [11305, 0.081], [11306, 0.033], + [11307, 0.011], [11308, 0.052], [11309, 0.073], [11310, 0.014], + [11311, 0.022], [11312, 0.015], [11313, 0.008], [11314, 0.078], + [11315, 0.018], [12932, 0.01], [12987, 0.006], [12989, 0.099], + [12990, 0.163], [12991, 0.217], [12992, 0.198], [12993, 0.293], + [12994, 0.434], [12995, 0.648], [12996, 0.874], [12997, 0.913], + [12998, 0.981], [12999, 0.984], [13000, 0.972], [13001, 0.893], + [13002, 0.814], [13003, 0.721], [13004, 0.605], [13005, 0.303], + [13006, 0.033], [13332, 0.751], [13333, 0.769], [13334, 0.778], + [13335, 0.784], [13336, 0.75], [13337, 0.701], [13338, 0.68], + [13339, 0.67], [13340, 0.667], [13341, 0.696], [13342, 0.693], + [13343, 0.706], [13344, 0.719], [13345, 0.712], [13346, 0.753], + [13347, 0.778], [13348, 0.787], [13349, 0.782], [13350, 0.762], + [13351, 0.722], [13838, 1.0], [13839, 1.0], [13840, 1.0], + [13841, 1.0], [13842, 1.0], [13843, 1.0], [13844, 1.0], + [13845, 1.0], [16519, 0.006], [16520, 0.002], [16522, 0.003], + [16891, 0.01], [16902, 0.02], [16909, 0.801], [16915, 0.883], + [16970, 0.525], [16988, 0.989], [16997, 0.337], [17004, 0.054], + [17013, 0.054], [17024, 0.001], [17073, 0.901], [17077, 0.709], + [17122, 0.003], [17144, 0.693], [17232, 0.476], [17233, 0.224], + [17234, 0.045], [17348, 0.002], [17349, 0.001], [17350, 0.001], + [17352, 0.002], [17353, 0.001], [17354, 0.002], [17355, 0.002], + [17360, 0.006], [17361, 0.002], [17362, 0.003], [17363, 0.002], + [17364, 0.004], [17365, 0.005], [17366, 0.006], [17367, 0.003], + [17369, 0.001], [17390, 0.005], [17396, 0.019], [17402, 0.04], + [17408, 0.119], [17409, 0.007], [17414, 0.239], [17416, 0.015], + [17417, 0.016], [17418, 0.023], [17419, 0.031], [17420, 0.049], + [17421, 0.084], [17422, 0.102], [17423, 0.113], [17424, 0.149], + [17425, 0.18], [17426, 0.233], [17427, 0.297], [17428, 0.305], + [17429, 0.319], [17430, 0.375], [17431, 0.338], [17432, 0.043], + [17433, 0.01], [17434, 0.018], [17435, 0.038], [17436, 0.019], + [17437, 0.124], [17438, 0.031], [17439, 0.063], [17440, 0.108], + [17441, 0.066], [17442, 0.195], [17443, 0.063], [17444, 0.117], + [17445, 0.19], [17446, 0.125], [17447, 0.05], [17448, 0.297], + [17449, 0.202], [17450, 0.289], [17451, 0.25], [17452, 0.013], + [17453, 0.007], [17454, 0.004], [17455, 0.015], [17456, 0.008], + [17457, 0.03], [17458, 0.008], [17459, 0.034], [17462, 0.002], + [17463, 0.006], [17464, 0.013], [17465, 0.009], [17466, 0.361], + [17467, 0.288], [17468, 0.393], [17469, 0.4], [17470, 0.212], + [17471, 0.252], [17472, 0.167], [17473, 0.124], [17474, 0.251], + [17475, 0.252], [17476, 0.211], [17477, 0.169], [17478, 0.057], + [17479, 0.105], [17480, 0.187], [17481, 0.203], [17482, 0.414], + [17483, 0.446], [17484, 0.276], [17485, 0.443], [17486, 0.459], + [17487, 0.437], [17488, 0.407], [17489, 0.454], [17490, 0.47], + [17491, 0.318], [17492, 0.327], [17493, 0.247], [17494, 0.223], + [17495, 0.197], [17496, 0.407], [17497, 0.411], [17498, 0.541], + [17499, 0.569], [17500, 0.517], [17501, 0.575], [17502, 0.616], + [17503, 0.586], [17504, 0.542], [17505, 0.598], [17506, 0.622], + [17507, 0.498], [17508, 0.47], [17509, 0.478], [17510, 0.488], + [17511, 0.44], [17512, 0.796], [17513, 0.782], [17514, 0.838], + [17515, 0.805], [17516, 0.806], [17517, 0.804], [17518, 0.813], + [17519, 0.835], [17520, 0.873], [17521, 0.83], [17522, 0.828], + [17523, 0.888], [17524, 0.877], [17525, 0.866], [17526, 0.841], + [17527, 0.804], [17528, 0.872], [17529, 0.885], [17530, 0.89], + [17531, 0.887], [17532, 0.902], [17533, 0.882], [17534, 0.879], + [17535, 0.887], [17536, 0.905], [17537, 0.875], [17538, 0.866], + [17539, 0.939], [17540, 0.913], [17541, 0.909], [17542, 0.89], + [17543, 0.887], [17544, 0.974], [17545, 0.979], [17546, 0.967], + [17547, 0.976], [17548, 0.994], [17549, 0.953], [17550, 0.948], + [17551, 0.966], [17552, 0.96], [17553, 0.95], [17554, 0.941], + [17555, 0.978], [17556, 0.98], [17557, 0.993], [17558, 0.998], + [17559, 0.995], [17560, 0.873], [17561, 0.879], [17562, 0.894], + [17563, 0.876], [17564, 0.895], [17565, 0.848], [17566, 0.869], + [17567, 0.879], [17568, 0.91], [17569, 0.878], [17570, 0.882], + [17571, 0.91], [17572, 0.905], [17573, 0.931], [17574, 0.904], + [17575, 0.872], [17576, 0.678], [17577, 0.613], [17578, 0.754], + [17579, 0.684], [17580, 0.67], [17581, 0.671], [17582, 0.725], + [17583, 0.702], [17584, 0.775], [17585, 0.721], [17586, 0.75], + [17587, 0.773], [17588, 0.777], [17589, 0.761], [17590, 0.729], + [17591, 0.614], [17592, 0.431], [17593, 0.257], [17594, 0.577], + [17595, 0.449], [17596, 0.467], [17597, 0.437], [17598, 0.499], + [17599, 0.548], [17600, 0.59], [17601, 0.556], [17602, 0.578], + [17603, 0.578], [17604, 0.607], [17605, 0.478], [17606, 0.299], + [17607, 0.244], [17608, 0.205], [17609, 0.084], [17610, 0.285], + [17611, 0.165], [17612, 0.234], [17613, 0.235], [17614, 0.318], + [17615, 0.254], [17616, 0.27], [17617, 0.264], [17618, 0.316], + [17619, 0.263], [17620, 0.277], [17621, 0.106], [17622, 0.048], + [17623, 0.087], [17624, 0.034], [17625, 0.018], [17626, 0.013], + [17627, 0.026], [17628, 0.04], [17629, 0.044], [17630, 0.075], + [17631, 0.022], [17632, 0.009], [17633, 0.034], [17634, 0.047], + [17635, 0.01], [17636, 0.017], [17637, 0.013], [17638, 0.007], + [17639, 0.016], [17728, 0.054], [17729, 0.163], [17730, 0.214], + [17731, 0.277], [17732, 0.486], [17733, 0.874], [17734, 0.922], + [17735, 0.984], [17736, 0.924], [17737, 0.788], [17738, 0.602], + [17739, 0.303], [17740, 0.024], [17746, 0.763], [17747, 0.769], + [17748, 0.779], [17749, 0.762], [17750, 0.726], [17751, 0.685], + [17752, 0.678], [17753, 0.67], [17754, 0.648], [17755, 0.696], + [17756, 0.706], [17757, 0.716], [17758, 0.748], [17759, 0.783], + [17760, 0.783], [17761, 0.764], [17762, 0.727], [17854, 0.004], + [17855, 0.005], [17856, 0.023], [17857, 0.023], [17858, 0.022], + [17859, 0.012], [17860, 0.003], [17861, 0.001], [17965, 0.006], + [17966, 0.011], [17967, 0.012], [17969, 0.013], [17970, 0.003], + [17973, 0.003], [18100, 0.008], [18137, 0.015], [18142, 0.007], + [18169, 0.086], [18170, 0.049], [18171, 0.038], [18172, 0.025], + [18173, 0.083], [18174, 0.044], [18177, 0.011], [18178, 0.062], + [18179, 0.035], [18181, 0.032], [18189, 0.079], [18191, 0.04], + [18198, 0.119], [18199, 0.015], [18205, 0.368], [18206, 0.314], + [18207, 0.238], [18208, 0.159], [18209, 0.383], [18210, 0.278], + [18212, 0.071], [18213, 0.126], [18214, 0.315], [18215, 0.21], + [18217, 0.199], [18225, 0.136], [18227, 0.068], [18234, 0.203], + [18235, 0.31], [18236, 0.13], [18241, 0.614], [18242, 0.541], + [18243, 0.408], [18244, 0.27], [18245, 0.631], [18246, 0.474], + [18247, 0.201], [18248, 0.467], [18249, 0.517], [18250, 0.642], + [18251, 0.598], [18253, 0.338], [18257, 0.054], [18258, 0.109], + [18261, 0.169], [18263, 0.084], [18269, 0.163], [18270, 0.253], + [18271, 0.563], [18272, 0.539], [18273, 0.436], [18274, 0.381], + [18275, 0.327], [18276, 0.218], [18277, 0.711], [18278, 0.669], + [18279, 0.506], [18280, 0.337], [18281, 0.722], [18282, 0.586], + [18283, 0.549], [18284, 0.603], [18285, 0.631], [18286, 0.731], + [18287, 0.7], [18288, 0.272], [18289, 0.422], [18293, 0.078], + [18294, 0.156], [18297, 0.197], [18299, 0.099], [18305, 0.233], + [18306, 0.296], [18307, 0.701], [18308, 0.674], [18309, 0.621], + [18310, 0.545], [18311, 0.468], [18312, 0.311], [18313, 0.805], + [18314, 0.789], [18315, 0.592], [18316, 0.395], [18317, 0.809], + [18318, 0.691], [18319, 0.688], [18320, 0.728], [18321, 0.738], + [18322, 0.803], [18323, 0.773], [18324, 0.388], [18325, 0.493], + [18329, 0.099], [18330, 0.198], [18333, 0.217], [18335, 0.108], + [18341, 0.297], [18342, 0.325], [18343, 0.804], [18344, 0.8], + [18345, 0.791], [18346, 0.692], [18347, 0.593], [18348, 0.395], + [18349, 0.861], [18350, 0.867], [18351, 0.65], [18352, 0.434], + [18353, 0.848], [18354, 0.759], [18355, 0.805], [18356, 0.818], + [18357, 0.822], [18358, 0.84], [18359, 0.829], [18360, 0.494], + [18361, 0.542], [18365, 0.108], [18366, 0.217], [18369, 0.232], + [18371, 0.116], [18377, 0.325], [18378, 0.348], [18379, 0.893], + [18380, 0.911], [18381, 0.867], [18382, 0.758], [18383, 0.65], + [18384, 0.433], [18385, 0.923], [18386, 0.921], [18387, 0.695], + [18388, 0.464], [18389, 0.914], [18390, 0.811], [18391, 0.914], + [18392, 0.897], [18393, 0.895], [18394, 0.894], [18395, 0.901], + [18396, 0.542], [18397, 0.58], [18401, 0.122], [18402, 0.244], + [18405, 0.236], [18407, 0.118], [18413, 0.365], [18414, 0.353], + [18415, 0.989], [18416, 0.972], [18417, 0.968], [18418, 0.85], + [18419, 0.732], [18420, 0.484], [18421, 0.949], [18422, 0.942], + [18423, 0.707], [18424, 0.471], [18425, 0.94], [18426, 0.825], + [18427, 0.98], [18428, 0.975], [18429, 0.947], [18430, 0.939], + [18431, 0.94], [18432, 0.609], [18433, 0.589], [18437, 0.092], + [18438, 0.183], [18441, 0.184], [18443, 0.092], [18449, 0.275], + [18450, 0.275], [18451, 0.621], [18452, 0.75], [18453, 0.733], + [18454, 0.642], [18455, 0.55], [18456, 0.367], [18457, 0.682], + [18458, 0.735], [18459, 0.551], [18460, 0.367], [18461, 0.715], + [18462, 0.643], [18463, 0.683], [18464, 0.66], [18465, 0.701], + [18466, 0.783], [18467, 0.791], [18468, 0.458], [18469, 0.459], + [18473, 0.014], [18474, 0.027], [18477, 0.099], [18479, 0.049], + [18485, 0.04], [18486, 0.148], [18487, 0.137], [18488, 0.145], + [18489, 0.108], [18490, 0.094], [18491, 0.081], [18492, 0.054], + [18493, 0.282], [18494, 0.395], [18495, 0.296], [18496, 0.197], + [18497, 0.298], [18498, 0.345], [18499, 0.142], [18500, 0.095], + [18501, 0.164], [18502, 0.287], [18503, 0.242], [18504, 0.067], + [18505, 0.247] + ], + "upperleg02.R": [ + [4124, 0.001], [4126, 0.001], [4127, 0.001], [4128, 0.002], + [4129, 0.001], [4130, 0.002], [4133, 0.001], [4135, 0.002], + [4136, 0.001], [4137, 0.002], [4138, 0.002], [4161, 0.004], + [4162, 0.002], [4163, 0.003], [4166, 0.003], [4167, 0.002], + [4168, 0.003], [4169, 0.004], [4170, 0.004], [4171, 0.002], + [4198, 0.001], [4207, 0.003], [4216, 0.007], [4225, 0.015], + [4234, 0.022], [4243, 0.051], [4252, 0.08], [4253, 0.007], + [4261, 0.043], [4262, 0.108], [4263, 0.131], [4268, 0.019], + [4269, 0.004], [4270, 0.002], [4271, 0.011], [4272, 0.01], + [4273, 0.014], [4274, 0.016], [4275, 0.007], [4276, 0.005], + [4277, 0.023], [4278, 0.019], [4279, 0.027], [4280, 0.032], + [4281, 0.018], [4282, 0.011], [4283, 0.056], [4284, 0.048], + [4285, 0.068], [4286, 0.08], [4287, 0.038], [4288, 0.024], + [4289, 0.101], [4290, 0.09], [4291, 0.118], [4292, 0.134], + [4293, 0.058], [4294, 0.036], [4295, 0.146], [4296, 0.132], + [4297, 0.168], [4298, 0.187], [4299, 0.125], [4300, 0.083], + [4301, 0.232], [4302, 0.21], [4303, 0.252], [4304, 0.259], + [4305, 0.191], [4306, 0.13], [4307, 0.318], [4308, 0.287], + [4309, 0.336], [4310, 0.331], [4311, 0.242], [4312, 0.184], + [4313, 0.362], [4314, 0.311], [4315, 0.35], [4316, 0.312], + [4318, 0.018], [4319, 0.006], [4320, 0.011], [4321, 0.016], + [4322, 0.009], [4324, 0.036], [4325, 0.012], [4326, 0.022], + [4327, 0.032], [4328, 0.019], [4329, 0.004], [4330, 0.091], + [4331, 0.03], [4332, 0.056], [4333, 0.081], [4334, 0.046], + [4335, 0.008], [4336, 0.144], [4337, 0.047], [4338, 0.086], + [4339, 0.135], [4340, 0.086], [4341, 0.012], [4342, 0.196], + [4343, 0.065], [4344, 0.117], [4345, 0.19], [4346, 0.125], + [4347, 0.012], [4348, 0.257], [4349, 0.05], [4350, 0.142], + [4351, 0.246], [4352, 0.188], [4353, 0.319], [4354, 0.211], + [4355, 0.301], [4356, 0.251], [4357, 0.002], [4358, 0.004], + [4359, 0.009], [4360, 0.016], [4361, 0.023], [4362, 0.025], + [4363, 0.008], [4364, 0.005], [4365, 0.003], [4368, 0.009], + [4369, 0.006], [4370, 0.013], [4371, 0.026], [4372, 0.003], + [4373, 0.006], [4374, 0.002], [4375, 0.005], [4378, 0.034], + [4379, 0.018], [4380, 0.008], [4382, 0.1], [4383, 0.106], + [4384, 0.071], [4395, 0.005], [4396, 0.002], [4397, 0.008], + [4398, 0.007], [4399, 0.006], [4400, 0.001], [4401, 0.135], + [4402, 0.134], [4403, 0.375], [4404, 0.275], [4405, 0.387], + [4406, 0.349], [4407, 0.331], [4408, 0.25], [4409, 0.37], + [4410, 0.393], [4411, 0.21], [4412, 0.252], [4413, 0.167], + [4414, 0.118], [4415, 0.371], [4416, 0.31], [4417, 0.408], + [4418, 0.413], [4419, 0.223], [4420, 0.255], [4421, 0.211], + [4422, 0.167], [4423, 0.279], [4424, 0.242], [4425, 0.214], + [4426, 0.181], [4427, 0.049], [4428, 0.395], [4429, 0.402], + [4430, 0.105], [4431, 0.193], [4432, 0.187], [4433, 0.203], + [4434, 0.4], [4435, 0.337], [4436, 0.296], [4437, 0.459], + [4438, 0.433], [4439, 0.431], [4440, 0.406], [4441, 0.425], + [4442, 0.393], [4443, 0.44], [4444, 0.457], [4445, 0.318], + [4446, 0.347], [4447, 0.255], [4448, 0.234], [4449, 0.437], + [4450, 0.198], [4451, 0.342], [4452, 0.353], [4453, 0.494], + [4454, 0.484], [4455, 0.471], [4456, 0.523], [4457, 0.517], + [4458, 0.56], [4459, 0.511], [4460, 0.51], [4461, 0.498], + [4462, 0.517], [4463, 0.542], [4464, 0.463], [4465, 0.422], + [4466, 0.431], [4467, 0.465], [4468, 0.551], [4469, 0.382], + [4470, 0.515], [4471, 0.506], [4472, 0.609], [4473, 0.594], + [4474, 0.591], [4475, 0.633], [4476, 0.619], [4477, 0.686], + [4478, 0.633], [4479, 0.661], [4480, 0.614], [4481, 0.666], + [4482, 0.689], [4483, 0.602], [4484, 0.605], [4485, 0.606], + [4486, 0.596], [4487, 0.699], [4488, 0.549], [4489, 0.796], + [4490, 0.771], [4491, 0.832], [4492, 0.79], [4493, 0.793], + [4494, 0.794], [4495, 0.795], [4496, 0.806], [4497, 0.799], + [4498, 0.83], [4499, 0.875], [4500, 0.826], [4501, 0.825], + [4502, 0.881], [4503, 0.873], [4504, 0.869], [4505, 0.845], + [4506, 0.825], [4507, 0.809], [4508, 0.859], [4509, 0.86], + [4510, 0.878], [4511, 0.871], [4512, 0.898], [4513, 0.866], + [4514, 0.871], [4515, 0.863], [4516, 0.868], [4517, 0.872], + [4518, 0.9], [4519, 0.856], [4520, 0.849], [4521, 0.936], + [4522, 0.905], [4523, 0.896], [4524, 0.876], [4525, 0.851], + [4526, 0.865], [4527, 0.958], [4528, 0.956], [4529, 0.927], + [4530, 0.942], [4531, 0.962], [4532, 0.927], [4533, 0.934], + [4534, 0.936], [4535, 0.933], [4536, 0.931], [4537, 0.93], + [4538, 0.931], [4539, 0.911], [4540, 0.966], [4541, 0.97], + [4542, 1.0], [4543, 0.986], [4544, 0.923], [4545, 0.957], + [4546, 0.976], [4547, 0.979], [4548, 0.969], [4549, 0.989], + [4550, 0.994], [4551, 0.955], [4552, 0.976], [4553, 0.948], + [4554, 0.949], [4555, 0.966], [4556, 0.957], [4557, 0.945], + [4558, 0.941], [4559, 0.98], [4560, 0.98], [4561, 0.992], + [4562, 1.0], [4563, 0.947], [4564, 1.0], [4565, 0.951], + [4566, 0.958], [4567, 0.969], [4568, 0.971], [4569, 0.979], + [4570, 0.929], [4571, 0.958], [4572, 0.921], [4573, 0.922], + [4574, 0.938], [4575, 0.963], [4576, 0.929], [4577, 0.927], + [4578, 0.965], [4579, 0.963], [4580, 0.984], [4581, 0.98], + [4582, 0.924], [4583, 0.988], [4584, 0.847], [4585, 0.831], + [4586, 0.866], [4587, 0.878], [4588, 0.867], [4589, 0.823], + [4590, 0.853], [4591, 0.833], [4592, 0.821], [4593, 0.829], + [4594, 0.893], [4595, 0.85], [4596, 0.855], [4597, 0.892], + [4598, 0.885], [4599, 0.901], [4600, 0.885], [4601, 0.853], + [4602, 0.836], [4603, 0.748], [4604, 0.698], [4605, 0.774], + [4606, 0.766], [4607, 0.754], [4608, 0.723], [4609, 0.752], + [4610, 0.746], [4611, 0.718], [4612, 0.714], [4613, 0.82], + [4614, 0.734], [4615, 0.76], [4616, 0.816], [4617, 0.8], + [4618, 0.798], [4619, 0.779], [4620, 0.777], [4621, 0.662], + [4622, 0.562], [4623, 0.471], [4624, 0.675], [4625, 0.615], + [4626, 0.53], [4627, 0.519], [4628, 0.586], [4629, 0.581], + [4630, 0.523], [4631, 0.641], [4632, 0.702], [4633, 0.652], + [4634, 0.653], [4635, 0.702], [4636, 0.702], [4637, 0.671], + [4638, 0.646], [4639, 0.643], [4640, 0.47], [4641, 0.427], + [4642, 0.226], [4643, 0.55], [4644, 0.462], [4645, 0.458], + [4646, 0.385], [4647, 0.417], [4648, 0.463], [4649, 0.391], + [4650, 0.516], [4651, 0.576], [4652, 0.498], [4653, 0.505], + [4654, 0.56], [4655, 0.593], [4656, 0.451], [4657, 0.25], + [4658, 0.511], [4659, 0.211], [4660, 0.205], [4661, 0.084], + [4662, 0.287], [4663, 0.233], [4664, 0.234], [4665, 0.17], + [4666, 0.163], [4667, 0.318], [4668, 0.257], [4669, 0.286], + [4670, 0.27], [4671, 0.293], [4672, 0.306], [4673, 0.263], + [4674, 0.277], [4675, 0.106], [4676, 0.048], [4677, 0.322], + [4678, 0.087], [4679, 0.045], [4680, 0.02], [4681, 0.017], + [4682, 0.066], [4683, 0.053], [4684, 0.021], [4685, 0.044], + [4686, 0.1], [4687, 0.081], [4688, 0.033], [4689, 0.011], + [4690, 0.052], [4691, 0.073], [4692, 0.014], [4693, 0.022], + [4694, 0.015], [4695, 0.008], [4696, 0.078], [4697, 0.018], + [6335, 0.01], [6390, 0.006], [6392, 0.099], [6393, 0.163], + [6394, 0.217], [6395, 0.198], [6396, 0.293], [6397, 0.434], + [6398, 0.648], [6399, 0.874], [6400, 0.913], [6401, 0.981], + [6402, 0.984], [6403, 0.972], [6404, 0.893], [6405, 0.814], + [6406, 0.721], [6407, 0.605], [6408, 0.303], [6409, 0.033], + [6431, 0.003], [6736, 0.751], [6737, 0.769], [6738, 0.778], + [6739, 0.784], [6740, 0.75], [6741, 0.701], [6742, 0.68], + [6743, 0.67], [6744, 0.667], [6745, 0.696], [6746, 0.693], + [6747, 0.706], [6748, 0.719], [6749, 0.712], [6750, 0.753], + [6751, 0.778], [6752, 0.787], [6753, 0.782], [6754, 0.762], + [6755, 0.722], [14278, 1.0], [14279, 1.0], [14280, 1.0], + [14281, 1.0], [14282, 1.0], [14283, 1.0], [14284, 1.0], + [14285, 1.0], [15587, 0.01], [15598, 0.02], [15605, 0.801], + [15610, 0.883], [15658, 0.525], [15676, 0.989], [15685, 0.337], + [15692, 0.054], [15701, 0.054], [15712, 0.001], [15757, 0.901], + [15760, 0.709], [15805, 0.003], [15827, 0.693], [15913, 0.476], + [15914, 0.224], [15915, 0.045], [16021, 0.002], [16022, 0.001], + [16023, 0.001], [16025, 0.002], [16026, 0.001], [16027, 0.002], + [16028, 0.002], [16033, 0.006], [16034, 0.002], [16035, 0.003], + [16036, 0.002], [16037, 0.004], [16038, 0.005], [16039, 0.006], + [16040, 0.003], [16042, 0.001], [16061, 0.005], [16067, 0.019], + [16073, 0.04], [16079, 0.119], [16080, 0.007], [16085, 0.239], + [16087, 0.015], [16088, 0.016], [16089, 0.023], [16090, 0.031], + [16091, 0.049], [16092, 0.084], [16093, 0.102], [16094, 0.113], + [16095, 0.149], [16096, 0.18], [16097, 0.233], [16098, 0.297], + [16099, 0.305], [16100, 0.319], [16101, 0.375], [16102, 0.338], + [16103, 0.043], [16104, 0.01], [16105, 0.018], [16106, 0.038], + [16107, 0.019], [16108, 0.124], [16109, 0.031], [16110, 0.063], + [16111, 0.108], [16112, 0.066], [16113, 0.195], [16114, 0.063], + [16115, 0.117], [16116, 0.19], [16117, 0.125], [16118, 0.05], + [16119, 0.297], [16120, 0.202], [16121, 0.289], [16122, 0.25], + [16123, 0.013], [16124, 0.007], [16125, 0.004], [16126, 0.015], + [16127, 0.008], [16128, 0.03], [16129, 0.008], [16130, 0.034], + [16133, 0.002], [16134, 0.006], [16135, 0.013], [16136, 0.009], + [16137, 0.361], [16138, 0.288], [16139, 0.393], [16140, 0.4], + [16141, 0.212], [16142, 0.252], [16143, 0.167], [16144, 0.124], + [16145, 0.251], [16146, 0.252], [16147, 0.211], [16148, 0.169], + [16149, 0.057], [16150, 0.105], [16151, 0.187], [16152, 0.203], + [16153, 0.414], [16154, 0.446], [16155, 0.276], [16156, 0.443], + [16157, 0.459], [16158, 0.437], [16159, 0.407], [16160, 0.454], + [16161, 0.47], [16162, 0.318], [16163, 0.327], [16164, 0.247], + [16165, 0.223], [16166, 0.197], [16167, 0.407], [16168, 0.411], + [16169, 0.541], [16170, 0.569], [16171, 0.517], [16172, 0.575], + [16173, 0.616], [16174, 0.586], [16175, 0.542], [16176, 0.598], + [16177, 0.622], [16178, 0.498], [16179, 0.47], [16180, 0.478], + [16181, 0.488], [16182, 0.44], [16183, 0.796], [16184, 0.782], + [16185, 0.838], [16186, 0.805], [16187, 0.806], [16188, 0.804], + [16189, 0.813], [16190, 0.835], [16191, 0.873], [16192, 0.83], + [16193, 0.828], [16194, 0.888], [16195, 0.877], [16196, 0.866], + [16197, 0.841], [16198, 0.804], [16199, 0.872], [16200, 0.885], + [16201, 0.89], [16202, 0.887], [16203, 0.902], [16204, 0.882], + [16205, 0.879], [16206, 0.887], [16207, 0.905], [16208, 0.875], + [16209, 0.866], [16210, 0.939], [16211, 0.913], [16212, 0.909], + [16213, 0.89], [16214, 0.887], [16215, 0.974], [16216, 0.979], + [16217, 0.967], [16218, 0.976], [16219, 0.994], [16220, 0.953], + [16221, 0.948], [16222, 0.966], [16223, 0.96], [16224, 0.95], + [16225, 0.941], [16226, 0.978], [16227, 0.98], [16228, 0.993], + [16229, 0.998], [16230, 0.995], [16231, 0.873], [16232, 0.879], + [16233, 0.894], [16234, 0.876], [16235, 0.895], [16236, 0.848], + [16237, 0.869], [16238, 0.879], [16239, 0.91], [16240, 0.878], + [16241, 0.882], [16242, 0.91], [16243, 0.905], [16244, 0.931], + [16245, 0.904], [16246, 0.872], [16247, 0.678], [16248, 0.613], + [16249, 0.754], [16250, 0.684], [16251, 0.67], [16252, 0.671], + [16253, 0.725], [16254, 0.702], [16255, 0.775], [16256, 0.721], + [16257, 0.75], [16258, 0.773], [16259, 0.777], [16260, 0.761], + [16261, 0.729], [16262, 0.614], [16263, 0.431], [16264, 0.257], + [16265, 0.577], [16266, 0.449], [16267, 0.467], [16268, 0.437], + [16269, 0.499], [16270, 0.548], [16271, 0.59], [16272, 0.556], + [16273, 0.578], [16274, 0.578], [16275, 0.607], [16276, 0.478], + [16277, 0.299], [16278, 0.244], [16279, 0.205], [16280, 0.084], + [16281, 0.285], [16282, 0.165], [16283, 0.234], [16284, 0.235], + [16285, 0.318], [16286, 0.254], [16287, 0.27], [16288, 0.264], + [16289, 0.316], [16290, 0.263], [16291, 0.277], [16292, 0.106], + [16293, 0.048], [16294, 0.087], [16295, 0.034], [16296, 0.018], + [16297, 0.013], [16298, 0.026], [16299, 0.04], [16300, 0.044], + [16301, 0.075], [16302, 0.022], [16303, 0.009], [16304, 0.034], + [16305, 0.047], [16306, 0.01], [16307, 0.017], [16308, 0.013], + [16309, 0.007], [16310, 0.016], [16399, 0.054], [16400, 0.163], + [16401, 0.214], [16402, 0.277], [16403, 0.486], [16404, 0.874], + [16405, 0.922], [16406, 0.984], [16407, 0.924], [16408, 0.788], + [16409, 0.602], [16410, 0.303], [16411, 0.024], [16417, 0.763], + [16418, 0.769], [16419, 0.779], [16420, 0.762], [16421, 0.726], + [16422, 0.685], [16423, 0.678], [16424, 0.67], [16425, 0.648], + [16426, 0.696], [16427, 0.706], [16428, 0.716], [16429, 0.748], + [16430, 0.783], [16431, 0.783], [16432, 0.764], [16433, 0.727], + [16520, 0.004], [16521, 0.005], [16522, 0.023], [16523, 0.023], + [16524, 0.022], [16525, 0.012], [16526, 0.003], [16527, 0.001], + [17853, 0.006], [17854, 0.002], [17856, 0.003], [17965, 0.006], + [17966, 0.011], [17967, 0.012], [17969, 0.013], [17970, 0.003], + [17973, 0.003], [18100, 0.008], [18118, 0.015], [18123, 0.007], + [18151, 0.086], [18152, 0.049], [18153, 0.038], [18154, 0.083], + [18155, 0.044], [18158, 0.011], [18159, 0.062], [18160, 0.035], + [18162, 0.032], [18172, 0.025], [18182, 0.015], [18187, 0.368], + [18188, 0.314], [18189, 0.238], [18190, 0.383], [18191, 0.278], + [18193, 0.071], [18194, 0.126], [18195, 0.315], [18196, 0.21], + [18198, 0.199], [18207, 0.079], [18208, 0.159], [18210, 0.04], + [18217, 0.119], [18218, 0.31], [18219, 0.13], [18223, 0.614], + [18224, 0.541], [18225, 0.408], [18226, 0.631], [18227, 0.474], + [18228, 0.201], [18229, 0.467], [18230, 0.517], [18231, 0.642], + [18232, 0.598], [18234, 0.338], [18243, 0.136], [18244, 0.27], + [18246, 0.068], [18253, 0.203], [18254, 0.563], [18255, 0.539], + [18256, 0.436], [18257, 0.381], [18258, 0.327], [18259, 0.711], + [18260, 0.669], [18261, 0.506], [18262, 0.722], [18263, 0.586], + [18264, 0.549], [18265, 0.603], [18266, 0.631], [18267, 0.731], + [18268, 0.7], [18269, 0.272], [18270, 0.422], [18274, 0.054], + [18275, 0.109], [18276, 0.218], [18279, 0.169], [18280, 0.337], + [18282, 0.084], [18288, 0.163], [18289, 0.253], [18290, 0.701], + [18291, 0.674], [18292, 0.621], [18293, 0.545], [18294, 0.468], + [18295, 0.805], [18296, 0.789], [18297, 0.592], [18298, 0.809], + [18299, 0.691], [18300, 0.688], [18301, 0.728], [18302, 0.738], + [18303, 0.803], [18304, 0.773], [18305, 0.388], [18306, 0.493], + [18310, 0.078], [18311, 0.156], [18312, 0.311], [18315, 0.197], + [18316, 0.395], [18318, 0.099], [18324, 0.233], [18325, 0.296], + [18326, 0.804], [18327, 0.8], [18328, 0.791], [18329, 0.692], + [18330, 0.593], [18331, 0.861], [18332, 0.867], [18333, 0.65], + [18334, 0.848], [18335, 0.759], [18336, 0.805], [18337, 0.818], + [18338, 0.822], [18339, 0.84], [18340, 0.829], [18341, 0.494], + [18342, 0.542], [18346, 0.099], [18347, 0.198], [18348, 0.395], + [18351, 0.217], [18352, 0.434], [18354, 0.108], [18360, 0.297], + [18361, 0.325], [18362, 0.893], [18363, 0.911], [18364, 0.867], + [18365, 0.758], [18366, 0.65], [18367, 0.923], [18368, 0.921], + [18369, 0.695], [18370, 0.914], [18371, 0.811], [18372, 0.914], + [18373, 0.897], [18374, 0.895], [18375, 0.894], [18376, 0.901], + [18377, 0.542], [18378, 0.58], [18382, 0.108], [18383, 0.217], + [18384, 0.433], [18387, 0.232], [18388, 0.464], [18390, 0.116], + [18396, 0.325], [18397, 0.348], [18398, 0.989], [18399, 0.972], + [18400, 0.968], [18401, 0.85], [18402, 0.732], [18403, 0.949], + [18404, 0.942], [18405, 0.707], [18406, 0.94], [18407, 0.825], + [18408, 0.98], [18409, 0.975], [18410, 0.947], [18411, 0.939], + [18412, 0.94], [18413, 0.609], [18414, 0.589], [18418, 0.122], + [18419, 0.244], [18420, 0.484], [18423, 0.236], [18424, 0.471], + [18426, 0.118], [18432, 0.365], [18433, 0.353], [18434, 0.621], + [18435, 0.75], [18436, 0.733], [18437, 0.642], [18438, 0.55], + [18439, 0.682], [18440, 0.735], [18441, 0.551], [18442, 0.715], + [18443, 0.643], [18444, 0.683], [18445, 0.66], [18446, 0.701], + [18447, 0.783], [18448, 0.791], [18449, 0.458], [18450, 0.459], + [18454, 0.092], [18455, 0.183], [18456, 0.367], [18459, 0.184], + [18460, 0.367], [18462, 0.092], [18468, 0.275], [18469, 0.275], + [18470, 0.137], [18471, 0.145], [18472, 0.108], [18473, 0.094], + [18474, 0.081], [18475, 0.282], [18476, 0.395], [18477, 0.296], + [18478, 0.298], [18479, 0.345], [18480, 0.142], [18481, 0.095], + [18482, 0.164], [18483, 0.287], [18484, 0.242], [18485, 0.067], + [18486, 0.247], [18490, 0.014], [18491, 0.027], [18492, 0.054], + [18495, 0.099], [18496, 0.197], [18498, 0.049], [18504, 0.04], + [18505, 0.148] + ], + "wrist.L": [ + [9839, 0.034], [9840, 0.019], [9868, 0.07], [9869, 0.058], + [9870, 0.018], [9884, 0.07], [9890, 0.313], [9894, 0.175], + [9895, 0.255], [9896, 0.268], [9897, 0.212], [9898, 0.24], + [9899, 0.318], [9900, 0.148], [9901, 0.363], [9902, 0.068], + [9903, 0.107], [9906, 0.257], [9908, 0.086], [10166, 0.058], + [10167, 0.056], [10168, 0.041], [10169, 0.017], [10170, 0.014], + [10171, 0.015], [10172, 0.058], [10173, 0.054], [10174, 0.056], + [10175, 0.056], [10176, 0.058], [10177, 0.052], [10178, 0.058], + [10182, 0.078], [10183, 0.138], [10184, 0.13], [10185, 0.141], + [10186, 0.131], [10187, 0.116], [10188, 0.106], [10189, 0.147], + [10190, 0.065], [10191, 0.068], [10192, 0.075], [10193, 0.1], + [10194, 0.063], [10195, 0.061], [10196, 0.03], [10197, 0.036], + [10198, 0.022], [10199, 0.055], [10200, 0.237], [10201, 0.272], + [10202, 0.251], [10203, 0.206], [10204, 0.187], [10205, 0.122], + [10206, 0.331], [10207, 0.174], [10208, 0.165], [10209, 0.201], + [10210, 0.198], [10211, 0.156], [10212, 0.099], [10213, 0.033], + [10214, 0.034], [10215, 0.111], [10216, 0.081], [10217, 0.695], + [10218, 0.679], [10219, 0.626], [10220, 0.537], [10221, 0.446], + [10222, 0.342], [10223, 0.638], [10224, 0.362], [10225, 0.433], + [10226, 0.52], [10227, 0.579], [10228, 0.304], [10229, 0.307], + [10230, 0.125], [10231, 0.206], [10232, 0.393], [10233, 0.312], + [10234, 0.492], [10235, 0.503], [10236, 0.3], [10237, 0.5], + [10238, 0.535], [10239, 0.55], [10240, 0.556], [10241, 0.54], + [10242, 0.523], [10243, 0.426], [10250, 0.488], [10311, 0.15], + [10312, 0.074], [10315, 0.019], [10317, 0.021], [10319, 0.446], + [10320, 0.017], [10322, 0.447], [10323, 0.015], [10325, 0.651], + [10328, 0.447], [10330, 0.056], [10331, 0.077], [10334, 0.081], + [10335, 0.083], [10336, 0.069], [10337, 0.531], [10339, 0.082], + [10340, 0.093], [10341, 0.028], [10342, 0.034], [10343, 0.09], + [10346, 0.316], [10347, 0.522], [10348, 0.436], [10349, 0.424], + [10350, 0.461], [10351, 0.484], [10352, 0.543], [10353, 0.623], + [10354, 0.506], [10435, 0.029], [10436, 0.136], [10437, 0.228], + [10438, 0.581], [10439, 0.433], [10469, 0.036], [10470, 0.043], + [10471, 0.077], [10472, 0.253], [10473, 0.382], [10491, 0.081], + [10492, 0.314], [10493, 0.337], [10494, 0.167], [10495, 0.29], + [10496, 0.583], [10497, 0.345], [10498, 0.549], [10499, 0.313], + [10500, 0.419], [10501, 0.234], [10519, 0.098], [10532, 0.022], + [10533, 0.072], [10534, 0.146], [10537, 0.341], [10548, 0.434], + [10549, 0.477], [10550, 0.227], [10551, 0.26], [10552, 0.311], + [10553, 0.368], [10554, 0.249], [10555, 0.225], [10556, 0.252], + [10557, 0.049], [10558, 0.505], [10559, 0.481], [10560, 0.056], + [10561, 0.4], [10562, 0.449], [10563, 0.167], [10564, 0.302], + [10565, 0.408], [10566, 0.123], [10567, 0.07], [10568, 0.482], + [10569, 0.492], [10570, 0.513], [10571, 0.547], [10572, 0.586], + [10573, 0.532], [10574, 0.584], [10575, 0.661], [10576, 0.527], + [10577, 0.61], [10578, 0.63], [10579, 0.609], [10580, 0.424], + [10581, 0.402], [10582, 0.518], [10583, 0.576], [10584, 0.485], + [10585, 0.518], [10586, 0.612], [10587, 0.61], [14006, 1.0], + [14007, 1.0], [14008, 1.0], [14009, 1.0], [14010, 1.0], + [14011, 1.0], [14012, 1.0], [14013, 1.0], [14014, 1.0], + [14015, 1.0], [14016, 1.0], [14017, 1.0], [14018, 1.0], + [14019, 1.0], [14020, 1.0], [14021, 1.0], [14022, 1.0], + [14023, 1.0], [14024, 1.0], [14025, 1.0], [14026, 1.0], + [14027, 1.0], [14028, 1.0], [14029, 1.0], [17158, 0.004], + [17159, 0.007], [17161, 0.003], [17162, 0.004], [17163, 0.004], + [17164, 0.004], [17166, 0.004], [17170, 0.131], [17171, 0.106], + [17172, 0.06], [17173, 0.051], [17174, 0.066], [17175, 0.075], + [17176, 0.085], [17177, 0.035], [17179, 0.017], [17180, 0.021], + [17181, 0.296], [17182, 0.305], [17183, 0.247], [17184, 0.14], + [17185, 0.166], [17186, 0.244], [17187, 0.29], [17189, 0.146], + [17191, 0.223], [17192, 0.284], [17206, 0.082], [17207, 0.288], + [17208, 0.002], [17250, 0.001], [17251, 0.018], [17252, 0.207] + ], + "wrist.R": [ + [3171, 0.034], [3172, 0.019], [3200, 0.07], [3201, 0.058], + [3202, 0.018], [3216, 0.07], [3222, 0.313], [3226, 0.175], + [3227, 0.255], [3228, 0.268], [3229, 0.212], [3230, 0.24], + [3231, 0.318], [3232, 0.148], [3233, 0.363], [3234, 0.068], + [3235, 0.107], [3238, 0.257], [3240, 0.086], [3498, 0.058], + [3499, 0.056], [3500, 0.041], [3501, 0.017], [3502, 0.014], + [3503, 0.015], [3504, 0.058], [3505, 0.054], [3506, 0.056], + [3507, 0.056], [3508, 0.058], [3509, 0.052], [3510, 0.058], + [3514, 0.078], [3515, 0.138], [3516, 0.13], [3517, 0.141], + [3518, 0.131], [3519, 0.116], [3520, 0.106], [3521, 0.147], + [3522, 0.065], [3523, 0.068], [3524, 0.075], [3525, 0.1], + [3526, 0.063], [3527, 0.061], [3528, 0.03], [3529, 0.036], + [3530, 0.022], [3531, 0.055], [3532, 0.237], [3533, 0.272], + [3534, 0.251], [3535, 0.206], [3536, 0.187], [3537, 0.122], + [3538, 0.331], [3539, 0.174], [3540, 0.165], [3541, 0.201], + [3542, 0.198], [3543, 0.156], [3544, 0.099], [3545, 0.033], + [3546, 0.034], [3547, 0.111], [3548, 0.081], [3549, 0.695], + [3550, 0.679], [3551, 0.626], [3552, 0.537], [3553, 0.446], + [3554, 0.342], [3555, 0.638], [3556, 0.362], [3557, 0.433], + [3558, 0.52], [3559, 0.579], [3560, 0.304], [3561, 0.307], + [3562, 0.125], [3563, 0.206], [3564, 0.393], [3565, 0.312], + [3566, 0.492], [3567, 0.503], [3568, 0.3], [3569, 0.5], + [3570, 0.535], [3571, 0.55], [3572, 0.556], [3573, 0.54], + [3574, 0.523], [3575, 0.426], [3582, 0.488], [3643, 0.15], + [3644, 0.074], [3647, 0.019], [3649, 0.021], [3651, 0.446], + [3652, 0.017], [3654, 0.447], [3655, 0.015], [3657, 0.651], + [3660, 0.447], [3662, 0.056], [3663, 0.077], [3666, 0.081], + [3667, 0.083], [3668, 0.069], [3669, 0.531], [3671, 0.082], + [3672, 0.093], [3673, 0.028], [3674, 0.034], [3675, 0.09], + [3678, 0.316], [3679, 0.522], [3680, 0.436], [3681, 0.424], + [3682, 0.461], [3683, 0.484], [3684, 0.543], [3685, 0.623], + [3686, 0.506], [3768, 0.029], [3769, 0.136], [3770, 0.228], + [3771, 0.581], [3772, 0.433], [3803, 0.036], [3804, 0.043], + [3805, 0.077], [3806, 0.253], [3807, 0.382], [3825, 0.081], + [3826, 0.314], [3827, 0.337], [3828, 0.167], [3829, 0.29], + [3830, 0.583], [3831, 0.345], [3832, 0.549], [3833, 0.313], + [3834, 0.419], [3835, 0.234], [3854, 0.098], [3867, 0.022], + [3868, 0.072], [3869, 0.146], [3872, 0.341], [3883, 0.434], + [3884, 0.477], [3885, 0.227], [3886, 0.26], [3887, 0.311], + [3888, 0.368], [3889, 0.249], [3890, 0.225], [3891, 0.252], + [3892, 0.049], [3893, 0.505], [3894, 0.481], [3895, 0.056], + [3896, 0.4], [3897, 0.449], [3898, 0.167], [3899, 0.302], + [3900, 0.408], [3901, 0.123], [3902, 0.07], [3903, 0.482], + [3904, 0.492], [3905, 0.513], [3906, 0.547], [3907, 0.586], + [3908, 0.532], [3909, 0.584], [3910, 0.661], [3911, 0.527], + [3912, 0.61], [3913, 0.63], [3914, 0.609], [3915, 0.424], + [3916, 0.402], [3917, 0.518], [3918, 0.576], [3919, 0.485], + [3920, 0.518], [3921, 0.612], [3922, 0.61], [14446, 1.0], + [14447, 1.0], [14448, 1.0], [14449, 1.0], [14450, 1.0], + [14451, 1.0], [14452, 1.0], [14453, 1.0], [14454, 1.0], + [14455, 1.0], [14456, 1.0], [14457, 1.0], [14458, 1.0], + [14459, 1.0], [14460, 1.0], [14461, 1.0], [14462, 1.0], + [14463, 1.0], [14464, 1.0], [14465, 1.0], [14466, 1.0], + [14467, 1.0], [14468, 1.0], [14469, 1.0], [15841, 0.004], + [15842, 0.007], [15844, 0.003], [15845, 0.004], [15846, 0.004], + [15847, 0.004], [15849, 0.004], [15853, 0.131], [15854, 0.106], + [15855, 0.06], [15856, 0.051], [15857, 0.066], [15858, 0.075], + [15859, 0.085], [15860, 0.035], [15862, 0.017], [15863, 0.021], + [15864, 0.296], [15865, 0.305], [15866, 0.247], [15867, 0.14], + [15868, 0.166], [15869, 0.244], [15870, 0.29], [15872, 0.146], + [15874, 0.223], [15875, 0.284], [15889, 0.082], [15890, 0.288], + [15891, 0.002], [15931, 0.001], [15932, 0.018], [15933, 0.207] + ] +} +} diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mh/male.target b/third_party/UO_Model3D_v13/pipeline/body13/mh/male.target new file mode 100644 index 0000000..c3b82f9 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mh/male.target @@ -0,0 +1,19168 @@ +# This is a target file for MakeHuman +# +# This asset was explicitly released as CC0 in september 2020. The license +# text for CC0 can be found in the root of this repository. +# +# Original copyright (C) 2014 Manuel Bastioni +# +# The copyright was explicitly transfered to other team members in 2016: +# +# Copyright (C) 2020 Data Collection AB, https://www.datacollection.se +# Copyright (C) 2020 Joel Palmius +# Copyright (C) 2020 Jonas Hauquier +# +# The primary legal contact for MakeHuman is Data Collection AB. +# +# For more information, see homepage at http://www.makehumancommunity.org +# +# basemesh hm08 +0 .012 .904 .062 +1 .011 .904 .066 +2 .012 .903 .065 +3 .011 .902 .068 +4 .012 .903 .065 +5 .01 .902 .069 +6 .009 .905 .058 +7 .01 .901 .061 +8 .012 .9 .061 +9 .002 .902 .046 +10 .007 .901 .053 +11 .007 .901 .057 +12 -.002 .9 .031 +13 0 .896 .033 +14 .003 .899 .041 +15 0 .9 .023 +16 .002 .9 .03 +17 .003 .902 .033 +18 -.003 .9 .019 +19 .002 .9 .02 +20 .003 .902 .026 +21 -.002 .904 .016 +22 0 .903 .018 +23 .002 .902 .022 +24 -.003 .903 .014 +25 0 .905 .013 +26 .002 .906 .019 +27 -.002 .904 .013 +28 0 .905 .012 +29 0 .907 .02 +30 -.003 .903 .015 +31 -.004 .904 .015 +32 0 .905 .017 +33 -.005 .904 .029 +34 -.003 .904 .025 +35 0 .907 .02 +36 0 .905 .048 +37 .004 .902 .045 +38 .005 .905 .041 +39 .009 .912 .047 +40 .005 .907 .052 +41 .003 .909 .06 +42 .01 .912 .05 +43 .005 .91 .058 +44 .009 .911 .065 +45 .007 .912 .054 +46 .006 .912 .059 +47 .01 .911 .065 +48 .006 .911 .059 +49 .003 .909 .06 +50 .011 .91 .061 +51 .008 .912 .058 +52 .007 .911 .056 +53 .008 .91 .057 +54 .01 .905 .067 +55 .01 .903 .065 +56 .009 .902 .066 +57 .007 .905 .069 +58 .008 .903 .069 +59 .009 .902 .069 +60 .008 .907 .065 +61 .008 .906 .061 +62 .008 .904 .064 +63 .007 .909 .053 +64 .008 .908 .046 +65 .012 .909 .045 +66 .006 .909 .05 +67 .008 .909 .046 +68 .009 .911 .042 +69 .005 .911 .05 +70 .008 .907 .047 +71 .008 .908 .044 +72 .007 .911 .053 +73 .007 .909 .051 +74 .008 .91 .049 +75 .008 .923 .025 +76 .011 .925 .035 +77 .014 .927 .039 +78 .015 .928 .044 +79 .009 .926 .045 +80 .003 .924 .054 +81 .008 .924 .057 +82 .004 .909 .053 +83 .003 .907 .042 +84 0 .905 .035 +85 0 .905 .032 +86 0 .909 .033 +87 0 .916 .034 +88 .006 .921 .027 +89 .007 .908 .072 +90 .012 .909 .075 +91 .007 .908 .067 +92 .006 .908 .062 +93 .013 .905 .069 +94 .007 .904 .069 +95 .005 .909 .066 +96 .008 .913 .045 +97 .011 .911 .034 +98 .01 .911 .035 +99 .008 .914 .044 +100 .007 .907 .054 +101 .007 .906 .054 +102 .007 .909 .061 +103 .005 .913 .058 +104 .009 .923 .041 +105 .013 .92 .03 +106 .013 .919 .033 +107 .012 .926 .037 +108 .005 .923 .049 +109 .007 .924 .038 +110 .009 .919 .032 +111 .007 .917 .031 +112 .008 .925 .035 +113 .003 .925 .045 +114 .007 .912 .04 +115 .007 .905 .032 +116 0 .909 .033 +117 .003 .917 .039 +118 .003 .919 .045 +119 .003 .892 .094 +120 .007 .9 .028 +121 .006 .896 .03 +122 .004 .889 .044 +123 .002 .893 .063 +124 .002 .902 .031 +125 0 .885 .077 +126 .003 .892 .025 +127 .002 .892 .032 +128 0 .887 .04 +129 -.002 .885 .054 +130 .003 .887 .024 +131 0 .88 .07 +132 0 .881 .031 +133 0 .885 .035 +134 0 .885 .041 +135 0 .883 .051 +136 0 .872 .029 +137 .015 .937 .031 +138 .021 .938 .029 +139 .023 .941 .028 +140 .021 .941 .028 +141 .015 .94 .029 +142 .008 .937 .036 +143 .014 .936 .045 +144 0 .907 .056 +145 0 .909 .05 +146 0 .906 .043 +147 .002 .908 .043 +148 .003 .913 .044 +149 .006 .922 .042 +150 .012 .934 .035 +151 .007 .907 .08 +152 .014 .907 .082 +153 .007 .91 .074 +154 .007 .911 .069 +155 .01 .907 .073 +156 .005 .91 .066 +157 .003 .918 .058 +158 .005 .913 .056 +159 0 .91 .062 +160 -.003 .907 .067 +161 .019 .957 .036 +162 .004 .893 .103 +163 .005 .879 .111 +164 0 .871 .102 +165 0 .921 .055 +166 .004 .914 .052 +167 0 .901 .043 +168 0 .883 .03 +169 0 .88 .034 +170 .007 .898 .088 +171 .012 .896 .089 +172 .005 .905 .086 +173 -.003 .909 .08 +174 .008 .901 .074 +175 .001 .908 .066 +176 .004 .904 .105 +177 .012 .898 .101 +178 -.004 .908 .104 +179 -.016 .911 .091 +180 .005 .901 .083 +181 .005 .905 .066 +182 .018 .931 .074 +183 .032 .949 .029 +184 .01 .956 .021 +185 .01 .914 .053 +186 .012 .918 .055 +187 .015 .928 .056 +188 .013 .918 .07 +189 .003 .914 .07 +190 -.008 .914 .072 +191 .032 .952 .019 +192 .034 .948 .028 +193 .017 .92 .068 +194 .025 .926 .066 +195 .025 .933 .069 +196 .025 .954 .05 +197 .016 .949 .033 +198 .002 .914 .08 +199 0 .896 .099 +200 0 .879 .107 +201 0 .864 .105 +202 .009 .93 .06 +203 .009 .942 .021 +204 -.002 .91 .117 +205 .003 .912 .101 +206 -.01 .917 .112 +207 -.021 .928 .096 +208 .005 .92 .079 +209 .002 .91 .067 +210 .01 .927 .074 +211 0 .925 .071 +212 -.014 .929 .074 +213 .04 .947 .042 +214 .009 .913 .089 +215 .018 .929 .079 +216 .029 .933 .078 +217 .036 .939 .077 +218 .032 .961 .06 +219 .034 .938 .057 +220 0 .899 .042 +221 .002 .9 .047 +222 -.006 .925 .108 +223 -.003 .921 .088 +224 -.006 .931 .108 +225 -.019 .939 .095 +226 -.017 .915 .013 +227 0 .93 .043 +228 0 .933 .06 +229 -.008 .936 .098 +230 -.006 .931 .08 +231 -.003 .94 .097 +232 -.01 .945 .087 +233 -.006 .922 .065 +234 0 .933 .034 +235 0 .924 .048 +236 -.012 .933 .058 +237 0 .939 .029 +238 -.004 .938 .035 +239 -.018 .929 .058 +240 -.026 .929 .047 +241 0 .932 .052 +242 .03 .924 .045 +243 -.022 .949 .023 +244 0 .96 .013 +245 -.026 .953 .011 +246 .004 .894 .062 +247 -.01 .906 .049 +248 .032 .888 .054 +249 .053 .896 .051 +250 -.028 .935 .033 +251 0 .941 .02 +252 -.029 .938 .022 +253 0 .938 .074 +254 -.014 .931 .068 +255 -.021 .938 .072 +256 .018 .941 .077 +257 .025 .941 .081 +258 .035 .945 .081 +259 .035 .961 .066 +260 -.007 .942 .063 +261 -.019 .939 .057 +262 -.024 .945 .068 +263 .008 .944 .071 +264 .028 .917 .043 +265 .027 .919 .038 +266 .031 .925 .039 +267 .028 .915 .048 +268 .027 .91 .045 +269 .026 .899 .045 +270 .035 .884 .058 +271 .058 .905 .038 +272 .068 .9 .048 +273 .082 .893 .042 +274 .007 .91 .073 +275 .004 .907 .073 +276 .006 .891 .083 +277 .003 .869 .097 +278 0 .876 .101 +279 0 .904 .081 +280 .004 .892 .064 +281 .002 .918 .053 +282 .012 .926 .013 +283 .017 .935 .019 +284 .013 .927 .009 +285 -.006 .916 .042 +286 .015 .911 .03 +287 0 .914 .046 +288 .004 .91 .008 +289 0 .887 .102 +290 -.002 .874 .107 +291 0 .862 .102 +292 .003 .87 .096 +293 .003 .871 .095 +294 0 .868 .091 +295 .002 .892 .08 +296 .004 .896 .082 +297 0 .896 .08 +298 .005 .912 .078 +299 0 .911 .081 +300 .003 .904 .076 +301 .003 .9 .08 +302 0 .9 .081 +303 .009 .913 .08 +304 .007 .912 .08 +305 .002 .906 .082 +306 .003 .902 .082 +307 0 .903 .08 +308 .007 .915 .065 +309 .007 .911 .065 +310 .007 .908 .073 +311 .003 .906 .068 +312 0 .908 .066 +313 0 .915 .054 +314 0 .904 .055 +315 .006 .909 .06 +316 .002 .907 .058 +317 0 .909 .055 +318 .012 .91 .021 +319 0 .915 .02 +320 .012 .911 .03 +321 .007 .917 .042 +322 .009 .913 .045 +323 .008 .918 .024 +324 .013 .918 .028 +325 .014 .911 .031 +326 .016 .916 .018 +327 .006 .912 .071 +328 .006 .913 .073 +329 .005 .911 .076 +330 .007 .919 .063 +331 0 .921 .05 +332 0 .922 .04 +333 .006 .908 .033 +334 .009 .913 .034 +335 .005 .898 .071 +336 -.002 .917 .013 +337 .003 .912 0 +338 .004 .887 .073 +339 .009 .919 .013 +340 .011 .922 .005 +341 .002 .901 .053 +342 0 .901 .048 +343 0 .9 .051 +344 .012 .911 .037 +345 .007 .911 .048 +346 .013 .918 .035 +347 .012 .906 .038 +348 0 .907 .072 +349 .003 .907 .076 +350 0 .906 .073 +351 0 .916 .063 +352 0 .928 .048 +353 0 .927 .038 +354 .01 .917 .038 +355 0 .855 .068 +356 .002 .868 .052 +357 0 .861 .061 +358 .015 .902 .033 +359 -.007 .906 .045 +360 .002 .904 .036 +361 .009 .879 .041 +362 0 .862 .068 +363 .018 .878 .048 +364 0 .912 .06 +365 0 .914 .058 +366 .002 .913 .057 +367 .002 .907 .069 +368 .023 .883 .048 +369 .01 .878 .04 +370 .007 .903 .04 +371 .006 .889 .043 +372 .004 .871 .049 +373 .006 .884 .042 +374 .013 .855 .058 +375 .012 .862 .051 +376 .017 .89 .055 +377 .02 .871 .055 +378 .026 .881 .051 +379 .004 .878 .036 +380 .002 .881 .04 +381 .01 .915 .038 +382 .007 .92 .042 +383 .009 .92 .037 +384 .01 .908 .038 +385 .004 .904 .069 +386 .006 .908 .071 +387 .007 .916 .071 +388 .006 .925 .06 +389 .007 .934 .048 +390 .006 .925 .04 +391 .009 .922 .038 +392 .006 .919 .058 +393 .009 .927 .047 +394 .008 .928 .04 +395 .009 .922 .062 +396 .008 .929 .055 +397 .009 .935 .043 +398 .008 .924 .066 +399 0 .891 .038 +400 -.001 .892 .038 +401 .006 .893 .044 +402 .011 .879 .041 +403 .013 .88 .043 +404 .011 .886 .045 +405 .009 .89 .047 +406 .004 .896 .038 +407 .021 .887 .045 +408 .018 .883 .043 +409 .003 .859 .046 +410 .012 .871 .043 +411 .015 .878 .041 +412 .017 .885 .04 +413 .014 .876 .037 +414 .019 .887 .035 +415 .013 .879 .03 +416 .016 .895 .029 +417 .004 .891 .025 +418 .012 .894 .033 +419 .004 .899 .019 +420 .013 .892 .031 +421 0 .895 .027 +422 .009 .883 .04 +423 .01 .879 .046 +424 .02 .892 .04 +425 .008 .885 .038 +426 .01 .88 .045 +427 .021 .893 .038 +428 .011 .883 .039 +429 .011 .881 .042 +430 .016 .893 .034 +431 .011 .882 .041 +432 .011 .879 .043 +433 .013 .893 .031 +434 .009 .884 .038 +435 .01 .88 .04 +436 .012 .891 .03 +437 .006 .899 .035 +438 .007 .893 .041 +439 .011 .891 .042 +440 .01 .89 .043 +441 .011 .886 .044 +442 .01 .884 .042 +443 .011 .886 .039 +444 .009 .89 .037 +445 .008 .886 .032 +446 .006 .894 .032 +447 .012 .869 .033 +448 .012 .87 .027 +449 0 .89 .017 +450 .005 .878 .04 +451 0 .86 .035 +452 0 .858 .021 +453 -.005 .886 .011 +454 .002 .88 .043 +455 0 .881 .045 +456 0 .864 .041 +457 0 .861 .031 +458 -.002 .855 .018 +459 -.006 .888 .012 +460 .003 .871 .033 +461 0 .866 .022 +462 -.005 .894 .013 +463 0 .878 .034 +464 0 .873 .024 +465 -.008 .898 .012 +466 0 .877 .033 +467 0 .875 .022 +468 0 .898 .014 +469 -.003 .901 .009 +470 -.006 .907 .007 +471 -.006 .906 .013 +472 -.005 .905 .017 +473 -.005 .906 .02 +474 0 .907 .018 +475 0 .901 .035 +476 .002 .896 .03 +477 .005 .896 .038 +478 .003 .896 .038 +479 0 .909 .034 +480 -.005 .917 .028 +481 -.004 .9 .021 +482 -.004 .901 .028 +483 -.005 .905 .025 +484 -.005 .909 .031 +485 -.004 .911 .025 +486 -.01 .924 .024 +487 -.003 .9 .027 +488 -.003 .904 .026 +489 -.008 .912 .024 +490 -.01 .916 .028 +491 0 .913 .027 +492 0 .923 .024 +493 0 .9 .035 +494 0 .908 .028 +495 0 .907 .018 +496 0 .914 .025 +497 .008 .887 .027 +498 .017 .892 .032 +499 .019 .894 .038 +500 .011 .885 .038 +501 .011 .881 .041 +502 .008 .891 .042 +503 .011 .885 .041 +504 .004 .881 .022 +505 -.004 .872 .017 +506 -.004 .872 .017 +507 -.003 .88 .02 +508 -.005 .885 .022 +509 0 .887 .02 +510 .005 .896 .035 +511 -.002 .904 .026 +512 -.006 .912 .022 +513 0 .91 .023 +514 -.008 .894 .025 +515 -.008 .894 .024 +516 -.004 .896 .028 +517 0 .899 .023 +518 -.007 .904 .028 +519 0 .905 .03 +520 0 .89 .018 +521 -.003 .89 .024 +522 -.007 .895 .02 +523 0 .901 .045 +524 .008 .892 .029 +525 .002 .891 .029 +526 .007 .884 .035 +527 .004 .883 .035 +528 .009 .89 .03 +529 .004 .88 .037 +530 .006 .885 .034 +531 -.008 .897 .028 +532 -.007 .9 .025 +533 -.003 .893 .03 +534 -.003 .906 .027 +535 -.007 .907 .029 +536 .006 .897 .029 +537 0 .894 .025 +538 -.003 .896 .027 +539 -.007 .897 .023 +540 0 .899 .035 +541 -.018 .903 .037 +542 -.013 .899 .023 +543 -.021 .897 .033 +544 -.024 .891 .034 +545 -.018 .904 .036 +546 -.022 .879 .041 +547 -.019 .882 .039 +548 -.001 .893 .022 +549 -.006 .891 .023 +550 -.011 .892 .023 +551 -.004 .891 .034 +552 -.008 .892 .033 +553 -.015 .889 .036 +554 0 .9 .026 +555 -.004 .901 .023 +556 -.002 .896 .023 +557 0 .891 .033 +558 -.027 .915 .043 +559 -.023 .912 .044 +560 -.022 .902 .033 +561 -.025 .891 .032 +562 -.026 .914 .041 +563 -.024 .87 .043 +564 -.02 .873 .041 +565 0 .895 .023 +566 -.005 .897 .029 +567 -.018 .906 .036 +568 -.004 .889 .03 +569 -.008 .891 .032 +570 -.015 .881 .037 +571 0 .9 .022 +572 0 .896 .021 +573 -.002 .896 .02 +574 0 .888 .03 +575 -.036 .929 .049 +576 -.03 .924 .05 +577 -.022 .911 .032 +578 -.028 .895 .029 +579 -.035 .928 .046 +580 -.025 .865 .044 +581 -.021 .867 .042 +582 0 .897 .033 +583 -.006 .902 .037 +584 -.02 .912 .045 +585 -.004 .888 .026 +586 -.009 .889 .029 +587 -.016 .878 .035 +588 0 .899 .035 +589 0 .897 .031 +590 -.002 .899 .03 +591 0 .888 .027 +592 -.04 .945 .065 +593 -.031 .937 .072 +594 -.027 .918 .031 +595 -.03 .898 .025 +596 -.039 .944 .052 +597 -.026 .862 .042 +598 -.022 .866 .038 +599 -.003 .912 .053 +600 -.008 .912 .06 +601 -.021 .927 .076 +602 -.003 .884 .019 +603 -.01 .89 .023 +604 -.016 .878 .03 +605 0 .904 .051 +606 0 .905 .051 +607 0 .907 .052 +608 0 .876 .019 +609 -.018 .957 .051 +610 -.011 .953 .053 +611 -.024 .928 .029 +612 -.04 .912 .017 +613 -.023 .956 .049 +614 -.025 .879 .031 +615 -.021 .881 .025 +616 .003 .938 .054 +617 .002 .942 .054 +618 -.004 .947 .052 +619 -.004 .869 .011 +620 -.009 .89 .012 +621 -.014 .893 .017 +622 0 .927 .052 +623 .005 .929 .053 +624 .004 .933 .054 +625 0 .851 .009 +626 -.005 .98 .044 +627 0 .979 .046 +628 -.029 .957 .029 +629 -.037 .927 .019 +630 -.017 .983 .041 +631 -.03 .911 .009 +632 -.018 .902 .008 +633 .006 .973 .052 +634 .005 .977 .051 +635 0 .98 .049 +636 -.004 .844 0 +637 -.01 .865 .004 +638 -.014 .885 .006 +639 0 .957 .049 +640 .008 .961 .05 +641 .007 .967 .051 +642 0 .834 -.002 +643 -.007 .994 .035 +644 -.004 .998 .036 +645 -.021 .962 .021 +646 -.027 .94 .008 +647 -.011 .987 .032 +648 -.022 .917 -.007 +649 -.019 .897 -.004 +650 .004 .992 .04 +651 .002 .997 .04 +652 0 .999 .037 +653 -.005 .813 -.004 +654 -.011 .831 -.002 +655 -.016 .86 -.001 +656 0 .976 .038 +657 .007 .98 .039 +658 .006 .987 .04 +659 0 .801 -.008 +660 -.015 .985 .016 +661 -.011 .987 .018 +662 -.03 .97 .002 +663 -.027 .961 -.007 +664 -.019 .981 .013 +665 -.022 .945 -.024 +666 -.021 .973 -.028 +667 -.002 .986 .021 +668 -.004 .988 .021 +669 -.009 .988 .018 +670 0 .867 .007 +671 -.013 .962 -.041 +672 -.018 .96 -.033 +673 0 .978 .02 +674 0 .98 .021 +675 0 .983 .021 +676 0 .867 .005 +677 -.016 .993 -.006 +678 -.013 .993 -.005 +679 -.029 .991 -.017 +680 -.027 .992 -.023 +681 -.02 .993 -.009 +682 -.016 .987 -.033 +683 -.015 .983 -.039 +684 -.005 .993 -.002 +685 -.007 .99 .002 +686 -.011 .989 0 +687 -.004 .978 -.048 +688 -.008 .979 -.047 +689 -.012 .98 -.043 +690 0 .99 -.002 +691 0 .992 -.002 +692 -.002 .993 -.002 +693 0 .979 -.05 +694 -.011 .999 -.025 +695 -.01 1.001 -.023 +696 -.017 .999 -.028 +697 -.016 .997 -.03 +698 -.012 .999 -.025 +699 -.012 .994 -.033 +700 -.011 .993 -.034 +701 -.003 1.001 -.023 +702 -.005 1 -.024 +703 -.008 1.001 -.023 +704 -.003 .992 -.037 +705 -.006 .991 -.035 +706 -.009 .993 -.036 +707 0 .997 -.023 +708 0 .998 -.023 +709 -.002 1.001 -.023 +710 0 .991 -.035 +711 .022 .888 .058 +712 0 .882 .036 +713 -.016 .947 .04 +714 -.018 .95 .059 +715 -.004 .949 .055 +716 0 .942 .055 +717 .006 .932 .043 +718 .016 .927 .05 +719 0 .936 .037 +720 -.007 .939 .05 +721 .012 .886 .046 +722 0 .895 .036 +723 -.004 .901 .035 +724 0 .911 .034 +725 0 .88 .033 +726 -.007 .886 -.005 +727 0 .879 -.005 +728 .003 .885 .031 +729 -.008 .89 .032 +730 -.004 .89 .034 +731 -.009 .883 .044 +732 0 .895 .01 +733 0 .884 .052 +734 .012 .886 .029 +735 .017 .884 .023 +736 .033 .891 .011 +737 .006 .847 -.009 +738 -.028 .921 -.019 +739 0 .849 -.044 +740 -.01 .843 -.087 +741 -.012 .842 -.098 +742 -.002 .841 -.088 +743 .007 .857 -.04 +744 -.009 .864 -.01 +745 -.039 .821 -.047 +746 -.005 .86 -.004 +747 0 .893 -.006 +748 -.061 .834 -.044 +749 -.073 .784 -.054 +750 -.093 .802 -.06 +751 -.118 .77 -.04 +752 -.122 .777 -.055 +753 -.13 .769 -.013 +754 -.147 .772 -.037 +755 -.167 .805 .018 +756 -.178 .831 0 +757 -.18 .874 .042 +758 -.193 .906 .026 +759 -.191 .949 .06 +760 -.215 .994 .045 +761 -.038 .821 -.081 +762 -.034 .817 -.064 +763 -.06 .783 -.049 +764 -.075 .789 -.05 +765 -.115 .756 -.01 +766 -.126 .753 -.016 +767 -.145 .76 .025 +768 -.14 .768 -.002 +769 -.141 .773 .025 +770 -.163 .79 .022 +771 -.178 .819 .046 +772 -.173 .844 .042 +773 -.172 .866 .067 +774 -.201 .919 .061 +775 -.034 .817 -.087 +776 -.145 .756 .059 +777 -.139 .765 .056 +778 -.156 .795 .064 +779 -.16 .847 .065 +780 0 .874 -.018 +781 -.012 .83 0 +782 -.016 .818 .007 +783 0 .836 .001 +784 -.006 .824 -.05 +785 -.01 .807 -.014 +786 -.018 .795 0 +787 0 .818 -.034 +788 -.02 .778 -.008 +789 -.017 .731 .072 +790 -.033 .728 .076 +791 0 .729 .082 +792 -.047 .764 .064 +793 -.029 .677 .18 +794 -.08 .717 .135 +795 -.05 .685 .173 +796 -.069 .746 .057 +797 0 .674 .187 +798 -.094 .725 .122 +799 -.026 .692 .152 +800 -.1 .708 .146 +801 -.048 .702 .149 +802 -.073 .718 .122 +803 0 .687 .161 +804 -.106 .718 .133 +805 -.021 .704 .119 +806 -.086 .729 .104 +807 -.046 .716 .117 +808 -.074 .708 .148 +809 0 .698 .118 +810 -.097 .74 .097 +811 -.021 .727 .078 +812 -.089 .758 .054 +813 -.048 .727 .075 +814 -.062 .703 .142 +815 0 .712 .077 +816 -.096 .783 .045 +817 -.084 .806 -.068 +818 -.1 .775 -.073 +819 -.117 .768 -.07 +820 -.165 .856 -.035 +821 -.187 .93 0 +822 -.193 1.017 .029 +823 -.033 .822 -.061 +824 -.059 .79 -.067 +825 -.107 .788 -.072 +826 -.127 .849 -.045 +827 -.156 .918 -.007 +828 -.139 .975 .024 +829 .031 .833 -.04 +830 .005 .8 -.032 +831 -.034 .796 -.034 +832 -.066 .845 -.017 +833 -.106 .9 .003 +834 -.114 .952 .022 +835 .072 .847 .011 +836 .063 .814 0 +837 .021 .802 -.004 +838 -.011 .837 0 +839 -.066 .882 .013 +840 -.09 .924 .033 +841 .078 .861 .012 +842 .058 .822 .007 +843 .027 .807 -.006 +844 .008 .841 -.004 +845 -.069 .872 0 +846 -.091 .891 .019 +847 .041 .877 -.006 +848 .023 .832 -.019 +849 .002 .809 -.036 +850 -.01 .83 -.034 +851 -.049 .868 -.034 +852 -.075 .868 -.005 +853 0 .888 -.049 +854 0 .848 -.062 +855 0 .834 -.094 +856 0 .834 -.097 +857 0 .852 -.073 +858 0 .827 -.042 +859 .017 .918 -.01 +860 0 .928 .006 +861 .004 .9 .006 +862 0 .879 .02 +863 .017 .932 .017 +864 0 .915 .002 +865 .005 .919 -.006 +866 .014 .921 -.014 +867 .019 .921 -.013 +868 .019 .921 -.013 +869 .018 .921 -.015 +870 .021 .921 -.013 +871 .036 .908 .01 +872 .006 .921 -.011 +873 -.005 .915 -.008 +874 -.027 .908 -.012 +875 -.047 .921 -.02 +876 -.053 .935 -.018 +877 .017 .872 0 +878 .015 .837 .008 +879 0 .816 -.002 +880 .033 .879 .006 +881 0 .809 -.043 +882 0 .859 -.08 +883 .054 .867 -.063 +884 -.046 .921 -.023 +885 -.084 .844 -.053 +886 -.042 .865 -.048 +887 .022 .879 -.028 +888 .053 .888 .01 +889 .064 .907 .009 +890 .046 .914 -.002 +891 .006 .856 -.014 +892 .004 .838 -.055 +893 0 .833 -.065 +894 -.003 .841 -.049 +895 .006 .849 -.007 +896 -.01 .946 .086 +897 0 .891 .029 +898 .002 .884 .035 +899 .002 .861 .106 +900 .024 .908 .049 +901 .035 .95 .048 +902 .028 .943 .062 +903 .025 .949 .037 +904 .017 .947 .045 +905 .038 .95 .035 +906 .027 .953 .039 +907 .028 .948 .052 +908 .033 .949 .015 +909 .013 .929 .051 +910 .039 .891 .036 +911 .014 .921 -.018 +912 .03 .858 .034 +913 -.003 .865 -.018 +914 .007 .881 .009 +915 0 .842 -.007 +916 .01 .866 .012 +917 .008 .856 .012 +918 0 .889 .011 +919 -.007 .892 .017 +920 .004 .86 -.029 +921 .005 .874 -.005 +922 .01 .864 -.008 +923 -.004 .819 -.029 +924 -.014 .773 .005 +925 -.017 .782 .005 +926 -.009 .816 -.009 +927 -.033 .825 -.086 +928 -.111 .742 .096 +929 -.122 .74 .099 +930 -.123 .776 .064 +931 -.14 .819 .069 +932 .026 .921 -.008 +933 -.053 .921 -.024 +934 0 .928 -.061 +935 -.061 .922 -.019 +936 -.057 .925 -.001 +937 -.022 .96 -.024 +938 -.008 .983 -.05 +939 .015 .998 -.06 +940 .016 1.022 -.061 +941 0 1.034 -.119 +942 -.056 .921 -.013 +943 -.06 .924 -.009 +944 -.021 .948 -.029 +945 -.007 .975 -.059 +946 .02 .991 -.054 +947 .024 1.007 -.05 +948 0 1.02 -.091 +949 -.046 .921 -.012 +950 -.034 .94 -.005 +951 -.008 .957 -.024 +952 .011 .977 -.05 +953 .024 .987 -.045 +954 .025 .998 -.038 +955 0 1.014 -.068 +956 -.021 .912 -.021 +957 -.003 .948 .006 +958 .009 .972 -.016 +959 .017 .985 -.036 +960 .017 .984 -.011 +961 .007 .989 .002 +962 0 .976 -.057 +963 -.002 .933 .007 +964 -.003 .939 .013 +965 .015 .939 -.002 +966 .022 .924 -.006 +967 .031 .906 .019 +968 .009 .912 .023 +969 0 .936 .01 +970 .049 .831 -.034 +971 .058 .867 -.016 +972 .065 .885 -.027 +973 .069 .885 .049 +974 .053 .889 -.012 +975 .048 .868 .002 +976 .036 .883 .065 +977 .027 .889 0 +978 .043 .917 .023 +979 .018 .921 -.004 +980 .017 .893 .064 +981 .003 .902 .033 +982 -.031 .93 .023 +983 0 .942 .013 +984 -.025 .939 .018 +985 .064 .873 .002 +986 .067 .902 .005 +987 .058 .893 .021 +988 .071 .884 .014 +989 -.013 .849 -.001 +990 -.011 .844 0 +991 0 .858 -.007 +992 -.063 .869 -.015 +993 -.01 .847 -.023 +994 -.002 .848 -.038 +995 0 .849 -.055 +996 -.036 .863 -.014 +997 -.014 .849 -.027 +998 -.018 .842 -.058 +999 -.027 .84 -.109 +1000 -.02 .838 -.101 +1001 -.024 .839 -.089 +1002 -.077 .877 -.023 +1003 -.056 .914 -.004 +1004 -.054 .913 -.008 +1005 -.043 .933 -.005 +1006 -.018 .917 .003 +1007 .007 .918 .031 +1008 .042 .903 .02 +1009 .059 .895 .025 +1010 .075 .881 .014 +1011 .082 .883 .017 +1012 .055 .909 .004 +1013 0 .915 -.07 +1014 -.017 .927 .01 +1015 0 .938 .005 +1016 .039 .909 -.037 +1017 -.01 .83 -.041 +1018 -.016 .894 -.053 +1019 -.022 .848 -.065 +1020 .013 .921 -.065 +1021 -.021 .933 .024 +1022 -.003 .991 -.015 +1023 -.01 .933 -.057 +1024 .027 .814 -.04 +1025 -.007 .818 .002 +1026 .003 1.019 -.054 +1027 0 1.023 -.075 +1028 -.012 1.034 -.086 +1029 .03 .862 -.073 +1030 -.024 .822 -.091 +1031 -.025 .823 -.088 +1032 -.006 .848 -.049 +1033 -.049 .788 -.044 +1034 -.047 .795 -.035 +1035 -.089 .765 .019 +1036 -.078 .774 .038 +1037 -.046 .743 .083 +1038 -.041 .732 .08 +1039 .005 .889 -.037 +1040 -.033 .854 -.023 +1041 .03 .864 -.081 +1042 .01 .928 -.033 +1043 -.006 1.029 -.075 +1044 -.012 .819 -.061 +1045 -.048 .848 -.031 +1046 -.003 .99 .002 +1047 .01 1.013 -.032 +1048 .009 1.017 -.047 +1049 -.023 .925 .02 +1050 .011 .826 .004 +1051 -.019 .831 -.065 +1052 .029 .812 -.044 +1053 -.002 .843 -.043 +1054 .017 .917 -.048 +1055 .012 .902 .058 +1056 .009 .901 .058 +1057 .008 .905 .061 +1058 .006 .904 .048 +1059 .004 .904 .036 +1060 0 .903 .029 +1061 .002 .904 .025 +1062 0 .905 .023 +1063 0 .906 .023 +1064 .003 .908 .02 +1065 0 .91 .023 +1066 0 .91 .031 +1067 0 .912 .045 +1068 .004 .917 .056 +1069 .005 .917 .06 +1070 .006 .919 .061 +1071 .007 .916 .057 +1072 .003 .914 .06 +1073 .008 .901 .057 +1074 .004 .903 .062 +1075 .005 .908 .072 +1076 0 .911 .068 +1077 0 .911 .066 +1078 0 .912 .064 +1079 .001 .914 .063 +1080 .003 .909 .071 +1081 .011 .907 .067 +1082 .011 .907 .07 +1083 .008 .907 .06 +1084 .005 .906 .048 +1085 .003 .905 .04 +1086 0 .907 .036 +1087 0 .907 .035 +1088 .002 .909 .036 +1089 .002 .911 .036 +1090 .002 .912 .035 +1091 0 .912 .032 +1092 0 .91 .035 +1093 0 .912 .051 +1094 .005 .911 .067 +1095 .008 .913 .073 +1096 .008 .912 .075 +1097 .009 .914 .069 +1098 .005 .916 .068 +1099 .01 .908 .071 +1100 .008 .908 .073 +1101 .005 .911 .075 +1102 0 .913 .074 +1103 0 .914 .072 +1104 0 .913 .071 +1105 0 .916 .069 +1106 .002 .911 .074 +1107 .012 .901 .076 +1108 .01 .901 .079 +1109 .01 .903 .071 +1110 .01 .904 .063 +1111 .008 .905 .056 +1112 .005 .905 .05 +1113 .004 .908 .048 +1114 .004 .91 .047 +1115 .003 .911 .048 +1116 .003 .913 .035 +1117 .003 .915 .037 +1118 .004 .915 .041 +1119 .005 .914 .046 +1120 .012 .923 .052 +1121 .01 .915 .067 +1122 .01 .916 .067 +1123 .009 .917 .067 +1124 .008 .916 .068 +1125 .01 .902 .079 +1126 .008 .905 .078 +1127 .008 .908 .076 +1128 .007 .913 .072 +1129 .006 .914 .072 +1130 .006 .915 .07 +1131 .007 .917 .071 +1132 .008 .91 .074 +1133 .012 .903 .083 +1134 .01 .901 .084 +1135 .013 .901 .078 +1136 .013 .904 .072 +1137 .012 .906 .069 +1138 .009 .908 .066 +1139 .007 .909 .064 +1140 .005 .91 .064 +1141 .004 .913 .063 +1142 .005 .917 .06 +1143 .006 .92 .058 +1144 .006 .921 .057 +1145 .01 .921 .059 +1146 .01 .924 .061 +1147 .011 .922 .061 +1148 .009 .923 .061 +1149 .008 .921 .06 +1150 .009 .921 .063 +1151 .009 .904 .084 +1152 .009 .905 .081 +1153 .007 .909 .079 +1154 .006 .914 .074 +1155 .006 .917 .072 +1156 .007 .919 .07 +1157 .007 .921 .068 +1158 .007 .912 .076 +1159 .012 .906 .089 +1160 .011 .903 .089 +1161 .012 .905 .086 +1162 .014 .905 .081 +1163 .014 .909 .078 +1164 .01 .913 .075 +1165 .009 .914 .072 +1166 .008 .914 .07 +1167 .008 .917 .069 +1168 .009 .921 .066 +1169 .009 .925 .061 +1170 .01 .927 .061 +1171 .011 .927 .062 +1172 .012 .93 .06 +1173 .011 .928 .059 +1174 .009 .93 .06 +1175 .009 .928 .061 +1176 .007 .924 .065 +1177 .008 .908 .087 +1178 .008 .906 .085 +1179 .008 .912 .081 +1180 .007 .916 .075 +1181 .006 .92 .073 +1182 .007 .922 .07 +1183 .007 .924 .068 +1184 .006 .915 .079 +1185 .012 .908 .091 +1186 .01 .906 .091 +1187 .013 .909 .089 +1188 .014 .908 .086 +1189 .015 .914 .081 +1190 .013 .917 .078 +1191 .012 .918 .076 +1192 .011 .918 .073 +1193 .011 .92 .072 +1194 .011 .925 .068 +1195 .012 .93 .064 +1196 .013 .93 .064 +1197 .014 .932 .063 +1198 .012 .933 .061 +1199 .01 .931 .06 +1200 .01 .932 .061 +1201 .009 .931 .062 +1202 .007 .927 .065 +1203 .009 .908 .09 +1204 .007 .908 .087 +1205 .007 .914 .083 +1206 .006 .918 .076 +1207 .006 .922 .074 +1208 .006 .924 .071 +1209 .006 .927 .068 +1210 .007 .917 .079 +1211 .012 .911 .091 +1212 .006 .923 .075 +1213 .012 .912 .09 +1214 .007 .916 .084 +1215 .014 .916 .083 +1216 .015 .918 .08 +1217 .012 .92 .075 +1218 .011 .923 .074 +1219 .01 .935 .062 +1220 .013 .93 .067 +1221 .014 .932 .066 +1222 .013 .935 .064 +1223 .012 .936 .062 +1224 .01 .934 .061 +1225 .012 .927 .07 +1226 .009 .933 .064 +1227 .007 .93 .066 +1228 .013 .92 .078 +1229 .008 .912 .087 +1230 .01 .912 .09 +1231 .013 .911 .088 +1232 .006 .921 .077 +1233 .01 .909 .091 +1234 .006 .926 .072 +1235 .006 .929 .069 +1236 .007 .92 .081 +1237 .011 .913 .091 +1238 .006 .925 .076 +1239 .013 .914 .091 +1240 .007 .918 .085 +1241 .014 .918 .085 +1242 .014 .921 .082 +1243 .015 .923 .077 +1244 .015 .926 .075 +1245 .01 .937 .063 +1246 .014 .934 .068 +1247 .014 .934 .067 +1248 .013 .937 .065 +1249 .012 .938 .063 +1250 .01 .936 .063 +1251 .013 .928 .072 +1252 .009 .935 .065 +1253 .007 .931 .067 +1254 .014 .922 .079 +1255 .008 .914 .088 +1256 .009 .914 .09 +1257 .014 .914 .088 +1258 .007 .922 .078 +1259 .01 .911 .091 +1260 .007 .928 .073 +1261 .007 .931 .07 +1262 .006 .921 .081 +1263 .012 .916 .092 +1264 .007 .926 .077 +1265 .012 .918 .091 +1266 .008 .92 .085 +1267 .014 .921 .086 +1268 .014 .924 .084 +1269 .015 .927 .078 +1270 .014 .93 .077 +1271 .01 .939 .064 +1272 .015 .936 .071 +1273 .014 .936 .069 +1274 .013 .939 .067 +1275 .012 .941 .065 +1276 .01 .939 .064 +1277 .015 .932 .074 +1278 .008 .937 .066 +1279 .008 .933 .068 +1280 .014 .926 .081 +1281 .008 .918 .088 +1282 .009 .917 .091 +1283 .013 .917 .089 +1284 .006 .924 .079 +1285 .01 .915 .092 +1286 .007 .929 .074 +1287 .007 .932 .071 +1288 .007 .923 .082 +1289 .011 .92 .091 +1290 .007 .929 .078 +1291 .012 .921 .09 +1292 .008 .924 .086 +1293 .014 .924 .086 +1294 .014 .926 .085 +1295 .014 .929 .08 +1296 .015 .932 .078 +1297 .009 .941 .067 +1298 .014 .938 .072 +1299 .014 .939 .07 +1300 .012 .94 .068 +1301 .012 .941 .067 +1302 .01 .941 .067 +1303 .014 .934 .076 +1304 .009 .939 .068 +1305 .008 .936 .07 +1306 .014 .928 .082 +1307 .008 .922 .088 +1308 .009 .921 .09 +1309 .013 .921 .089 +1310 .006 .928 .08 +1311 .01 .919 .091 +1312 .007 .932 .076 +1313 .007 .934 .073 +1314 .007 .926 .083 +1315 .011 .942 .076 +1316 .012 .942 .074 +1317 .011 .942 .073 +1318 .011 .942 .073 +1319 .012 .94 .078 +1320 .01 .942 .075 +1321 .01 .941 .076 +1322 .012 .936 .083 +1323 .01 .933 .086 +1324 .01 .931 .087 +1325 .011 .932 .086 +1326 .009 .936 .082 +1327 .011 .93 .087 +1328 .009 .939 .079 +1329 .01 .94 .078 +1330 .01 .935 .083 +1331 .012 .94 .077 +1332 .01 .942 .075 +1333 .007 .942 .07 +1334 .013 .938 .076 +1335 .008 .931 .083 +1336 .008 .938 .075 +1337 .008 .936 .077 +1338 .01 .926 .089 +1339 .007 .932 .081 +1340 .012 .927 .088 +1341 .008 .927 .087 +1342 .008 .927 .085 +1343 .013 .933 .083 +1344 .008 .941 .071 +1345 .007 .942 .069 +1346 .013 .937 .078 +1347 .01 .942 .07 +1348 .012 .943 .071 +1349 .012 .942 .072 +1350 .012 .94 .074 +1351 .014 .94 .075 +1352 .01 .943 .07 +1353 .014 .935 .079 +1354 .013 .934 .081 +1355 -.058 .771 .21 +1356 -.021 .666 .209 +1357 -.056 .612 .188 +1358 -.149 .574 .136 +1359 -.193 .557 .121 +1360 -.196 .55 .117 +1361 -.168 .545 .124 +1362 -.176 .554 .116 +1363 -.183 .565 .105 +1364 -.196 .588 .083 +1365 .005 .631 .075 +1366 .011 .667 .095 +1367 -.028 .763 .187 +1368 -.082 .622 .042 +1369 -.126 .606 .06 +1370 -.157 .576 .107 +1371 -.168 .534 .12 +1372 -.185 .505 .109 +1373 -.2 .51 .107 +1374 -.213 .545 .093 +1375 .036 .632 -.019 +1376 .041 .655 .029 +1377 .025 .695 .172 +1378 -.03 .641 -.037 +1379 -.065 .624 -.025 +1380 -.118 .571 .049 +1381 -.172 .506 .094 +1382 -.22 .476 .106 +1383 -.253 .477 .122 +1384 -.272 .513 .111 +1385 -.01 .701 -.067 +1386 -.025 .704 -.013 +1387 -.066 .718 .152 +1388 -.017 .686 -.078 +1389 -.04 .682 -.06 +1390 -.069 .605 -.004 +1391 -.086 .527 .034 +1392 -.153 .502 .081 +1393 -.199 .477 .115 +1394 -.246 .515 .115 +1395 -.091 .717 -.029 +1396 -.077 .723 -.022 +1397 -.064 .79 .114 +1398 -.074 .738 -.052 +1399 0 .718 .015 +1400 0 .66 .056 +1401 0 .676 .052 +1402 0 .655 .046 +1403 -.062 .759 -.068 +1404 -.156 .649 .189 +1405 -.104 .523 .235 +1406 -.138 .445 .206 +1407 -.256 .369 .13 +1408 -.238 .444 .16 +1409 -.241 .47 .211 +1410 -.247 .483 .183 +1411 -.258 .484 .133 +1412 -.283 .458 .07 +1413 -.316 .462 .011 +1414 -.178 .653 .135 +1415 -.141 .481 .17 +1416 -.197 .416 .15 +1417 -.31 .279 .089 +1418 -.319 .286 .053 +1419 -.27 .338 -.009 +1420 -.194 .492 .103 +1421 -.205 .349 .062 +1422 -.196 .313 .028 +1423 -.192 .366 .011 +1424 -.204 .647 .115 +1425 -.149 .498 .155 +1426 -.202 .439 .121 +1427 -.277 .337 .062 +1428 -.31 .315 .03 +1429 -.317 .292 -.009 +1430 -.117 .736 .218 +1431 -.054 .624 .242 +1432 -.096 .544 .237 +1433 -.187 .49 .17 +1434 -.218 .51 .175 +1435 -.211 .52 .174 +1436 -.218 .519 .151 +1437 -.232 .53 .133 +1438 -.251 .553 .123 +1439 -.279 .589 .065 +1440 -.157 .648 .169 +1441 -.13 .505 .212 +1442 -.168 .42 .185 +1443 -.296 .301 .108 +1444 -.222 .408 .094 +1445 -.23 .469 .132 +1446 -.232 .443 .137 +1447 -.231 .388 .103 +1448 -.239 .377 .046 +1449 -.236 .409 .003 +1450 -.03 .718 .207 +1451 .016 .716 .146 +1452 .05 .655 .105 +1453 -.016 .671 .074 +1454 -.072 .753 .032 +1455 -.126 .583 .221 +1456 -.14 .561 .161 +1457 -.166 .575 .137 +1458 -.076 .676 .233 +1459 -.136 .567 .202 +1460 -.074 .799 -.051 +1461 -.046 .786 -.027 +1462 -.113 .855 .053 +1463 -.104 .871 .066 +1464 -.102 .9 .079 +1465 -.08 .869 .047 +1466 -.035 .855 .037 +1467 0 .868 .045 +1468 -.09 .889 .027 +1469 -.102 .921 .011 +1470 -.099 .939 -.008 +1471 -.024 .713 -.048 +1472 0 .709 -.018 +1473 -.03 .693 -.006 +1474 .008 .612 .051 +1475 -.013 .78 -.05 +1476 0 .648 .046 +1477 -.017 .656 .051 +1478 -.086 .965 .003 +1479 -.069 .934 .082 +1480 -.068 .913 .129 +1481 -.047 .874 .142 +1482 -.036 .818 .135 +1483 -.044 .924 .11 +1484 -.051 .956 .116 +1485 -.041 .974 .101 +1486 -.021 .987 .072 +1487 -.011 .977 .045 +1488 -.058 .94 .039 +1489 -.111 .92 .049 +1490 -.096 .874 .035 +1491 0 .854 0 +1492 -.023 .85 .01 +1493 -.075 .849 .027 +1494 -.069 .825 -.002 +1495 -.019 .819 -.021 +1496 0 .829 -.053 +1497 -.09 .85 .022 +1498 -.101 .894 .046 +1499 -.072 .922 .039 +1500 -.047 .952 .042 +1501 -.057 .99 .049 +1502 -.024 .706 .004 +1503 -.099 1.007 .062 +1504 -.107 .977 .075 +1505 -.104 .954 .077 +1506 -.049 .686 -.001 +1507 -.045 .634 .057 +1508 -.044 .738 -.029 +1509 -.011 .778 -.049 +1510 -.027 .757 -.028 +1511 -.09 .83 0 +1512 -.113 .935 .073 +1513 -.093 .802 -.066 +1514 -.003 .77 -.08 +1515 -.054 .802 -.099 +1516 -.006 .783 -.094 +1517 -.068 .791 0 +1518 -.047 .82 .004 +1519 -.018 .845 .056 +1520 -.026 .877 .089 +1521 -.031 .762 -.009 +1522 0 .743 .01 +1523 0 .769 -.074 +1524 0 .737 -.024 +1525 0 .77 -.056 +1526 0 .755 -.045 +1527 -.026 .733 -.009 +1528 0 .76 -.019 +1529 -.053 .609 .065 +1530 -.082 .585 .081 +1531 -.123 .639 .054 +1532 -.186 .546 .11 +1533 -.115 .522 .106 +1534 -.064 .542 .074 +1535 -.022 .586 .045 +1536 -.029 .665 -.015 +1537 -.083 .87 .024 +1538 -.036 .858 .041 +1539 0 .884 .045 +1540 -.088 .891 -.021 +1541 -.117 .933 -.073 +1542 -.134 .949 -.08 +1543 -.131 .92 -.017 +1544 -.109 .885 .085 +1545 -.079 .845 .139 +1546 -.065 .771 .159 +1547 -.055 .741 .148 +1548 -.101 .86 -.006 +1549 -.052 .861 .023 +1550 0 .877 .038 +1551 -.105 .876 -.073 +1552 -.145 .937 -.135 +1553 -.157 .923 -.126 +1554 -.144 .887 -.032 +1555 -.091 .834 .105 +1556 -.022 .779 .187 +1557 .043 .735 .217 +1558 .049 .719 .204 +1559 -.151 .833 -.052 +1560 -.174 .78 -.117 +1561 -.174 .771 -.155 +1562 -.179 .772 -.208 +1563 -.17 .734 -.279 +1564 -.189 .729 -.369 +1565 -.177 .872 -.16 +1566 -.182 .804 -.186 +1567 -.156 .77 -.207 +1568 -.17 .808 -.339 +1569 -.168 .804 -.377 +1570 -.179 .791 -.43 +1571 -.165 .905 -.178 +1572 -.142 .815 -.23 +1573 -.11 .79 -.219 +1574 -.15 .797 -.396 +1575 -.157 .799 -.415 +1576 -.158 .8 -.422 +1577 -.147 .872 -.175 +1578 -.146 .831 -.256 +1579 -.109 .812 -.278 +1580 -.12 .795 -.306 +1581 -.116 .795 -.329 +1582 -.116 .806 -.331 +1583 -.109 .847 -.032 +1584 -.082 .839 -.116 +1585 -.077 .832 -.144 +1586 -.102 .781 -.224 +1587 -.099 .778 -.238 +1588 -.103 .784 -.275 +1589 -.045 .876 .004 +1590 -.048 .846 -.03 +1591 -.055 .842 -.062 +1592 -.073 .776 -.181 +1593 -.067 .757 -.217 +1594 -.058 .782 -.253 +1595 0 .891 .02 +1596 0 .879 -.014 +1597 0 .844 -.059 +1598 0 .769 -.17 +1599 0 .758 -.199 +1600 0 .775 -.245 +1601 -.078 .793 .114 +1602 -.04 .829 .202 +1603 -.014 .835 .2 +1604 0 .82 .219 +1605 -.071 .796 .079 +1606 -.065 .833 .161 +1607 -.043 .845 .179 +1608 -.051 .814 .209 +1609 -.11 .758 0 +1610 -.115 .766 -.083 +1611 -.138 .737 -.109 +1612 -.118 .531 -.146 +1613 -.133 .482 -.152 +1614 -.135 .478 -.187 +1615 -.084 .805 .047 +1616 -.083 .832 .118 +1617 -.067 .82 .166 +1618 -.104 .774 .191 +1619 -.081 .777 .003 +1620 -.102 .752 -.042 +1621 -.156 .756 -.129 +1622 -.121 .455 -.001 +1623 -.127 .399 -.009 +1624 -.138 .39 -.065 +1625 -.115 .813 .015 +1626 -.141 .787 .064 +1627 -.147 .743 .1 +1628 -.16 .712 .145 +1629 -.128 .798 -.01 +1630 -.141 .772 -.037 +1631 -.135 .63 -.027 +1632 -.138 .64 .015 +1633 -.15 .408 .062 +1634 -.146 .351 .037 +1635 -.151 .807 .012 +1636 -.153 .783 .049 +1637 -.173 .768 .091 +1638 -.158 .715 .142 +1639 -.158 .778 -.003 +1640 -.179 .724 -.037 +1641 -.13 .634 -.057 +1642 -.134 .631 -.031 +1643 -.149 .57 .006 +1644 -.181 .813 -.002 +1645 -.19 .803 .047 +1646 -.198 .765 .095 +1647 -.191 .717 .128 +1648 -.182 .774 -.041 +1649 -.186 .707 -.064 +1650 -.182 .521 -.065 +1651 -.198 .486 -.076 +1652 -.231 .423 -.046 +1653 -.209 .516 .066 +1654 -.227 .799 -.004 +1655 -.235 .796 .031 +1656 -.241 .748 .078 +1657 -.226 .697 .108 +1658 -.23 .76 -.029 +1659 -.226 .695 -.065 +1660 -.22 .465 -.056 +1661 -.254 .434 -.042 +1662 -.285 .344 -.048 +1663 -.207 .48 .02 +1664 -.169 .585 .055 +1665 -.15 .519 .098 +1666 -.113 .557 -.08 +1667 -.123 .75 -.031 +1668 -.13 .559 .024 +1669 -.121 .761 .122 +1670 -.151 .71 .16 +1671 -.124 .798 .093 +1672 -.1 .809 .024 +1673 -.101 .786 .008 +1674 -.115 .48 .223 +1675 -.086 .566 .241 +1676 -.156 .659 .201 +1677 -.241 .509 .201 +1678 -.214 .496 .205 +1679 -.219 .489 .199 +1680 -.22 .443 .178 +1681 -.113 .616 .227 +1682 -.299 .521 .005 +1683 -.276 .509 .096 +1684 -.252 .53 .172 +1685 -.156 .733 -.05 +1686 -.186 .665 -.06 +1687 -.191 .636 -.087 +1688 -.225 .628 -.07 +1689 -.16 .715 -.067 +1690 -.161 .338 .03 +1691 -.165 .597 -.315 +1692 -.151 .585 -.253 +1693 -.174 .639 -.182 +1694 -.26 .609 .105 +1695 -.155 .517 .132 +1696 -.169 .493 .124 +1697 -.229 .441 .069 +1698 -.26 .409 .031 +1699 -.269 .379 .004 +1700 -.208 .561 .119 +1701 -.326 .69 .002 +1702 -.311 .689 .023 +1703 -.302 .685 .051 +1704 -.29 .655 .079 +1705 -.318 .675 -.01 +1706 -.304 .643 -.041 +1707 -.251 .453 -.023 +1708 -.251 .435 -.015 +1709 -.277 .398 -.012 +1710 -.283 .594 -.045 +1711 -.319 .554 .091 +1712 -.212 .492 .134 +1713 -.214 .494 .137 +1714 -.241 .475 .09 +1715 -.239 .476 .058 +1716 -.261 .467 .052 +1717 -.254 .52 .11 +1718 -.392 .571 .008 +1719 -.377 .569 .02 +1720 -.36 .573 .041 +1721 -.341 .582 .067 +1722 -.399 .568 0 +1723 -.374 .551 -.009 +1724 -.271 .488 .018 +1725 -.266 .475 .027 +1726 -.272 .478 .042 +1727 -.333 .533 -.005 +1728 -.354 .515 .091 +1729 -.27 .484 .132 +1730 -.264 .48 .136 +1731 -.29 .479 .111 +1732 -.292 .47 .081 +1733 -.286 .473 .067 +1734 -.306 .499 .112 +1735 -.413 .526 .01 +1736 -.394 .525 .024 +1737 -.378 .527 .044 +1738 -.369 .531 .063 +1739 -.402 .518 .005 +1740 -.391 .505 -.002 +1741 -.289 .475 .02 +1742 -.282 .473 .035 +1743 -.284 .476 .053 +1744 -.359 .497 .002 +1745 -.386 .502 .091 +1746 -.324 .476 .125 +1747 -.325 .465 .132 +1748 -.33 .466 .109 +1749 -.316 .459 .092 +1750 -.31 .452 .073 +1751 -.36 .489 .111 +1752 -.387 .492 .012 +1753 -.392 .497 .028 +1754 -.401 .504 .043 +1755 -.404 .508 .068 +1756 -.39 .486 .008 +1757 -.374 .477 0 +1758 -.309 .453 .024 +1759 -.304 .45 .039 +1760 -.309 .452 .056 +1761 -.347 .468 .003 +1762 -.209 .853 -.130 +1763 -.202 .850 -.126 +1764 -.193 .847 -.122 +1765 -.183 .842 -.122 +1766 -.175 .837 -.121 +1767 -.167 .83 -.123 +1768 -.162 .821 -.126 +1769 -.161 .814 -.130 +1770 -.166 .810 -.136 +1771 -.174 .811 -.142 +1772 -.185 .817 -.147 +1773 -.195 .825 -.151 +1774 -.203 .835 -.151 +1775 -.210 .844 -.149 +1776 -.213 .850 -.144 +1777 -.213 .853 -.137 +1778 -.212 .859 -.138 +1779 -.215 .852 -.138 +1780 -.212 .844 -.137 +1781 -.206 .834 -.137 +1782 -.197 .823 -.136 +1783 -.187 .813 -.136 +1784 -.176 .805 -.135 +1785 -.167 .800 -.135 +1786 -.167 .799 -.138 +1787 -.166 .805 -.138 +1788 -.170 .815 -.140 +1789 -.177 .827 -.141 +1790 -.186 .839 -.142 +1791 -.195 .849 -.142 +1792 -.205 .856 -.141 +1793 -.213 .859 -.141 +1794 -.204 .823 -.112 +1795 -.199 .824 -.106 +1796 -.190 .830 -.103 +1797 -.181 .837 -.103 +1798 -.173 .844 -.106 +1799 -.164 .847 -.109 +1800 -.159 .844 -.115 +1801 -.157 .84 -.12 +1802 -.161 .836 -.127 +1803 -.169 .833 -.134 +1804 -.178 .831 -.140 +1805 -.185 .831 -.149 +1806 -.193 .832 -.150 +1807 -.200 .832 -.145 +1808 -.205 .829 -.135 +1809 -.206 .826 -.123 +1810 -.219 .733 -.063 +1811 -.235 .737 -.059 +1812 -.242 .758 -.060 +1813 -.241 .787 -.061 +1814 -.238 .817 -.074 +1815 -.220 .842 -.085 +1816 -.202 .855 -.095 +1817 -.183 .859 -.104 +1818 -.171 .860 -.104 +1819 -.16 .852 -.112 +1820 -.156 .837 -.111 +1821 -.146 .823 -.113 +1822 -.151 .804 -.113 +1823 -.164 .784 -.099 +1824 -.180 .763 -.092 +1825 -.199 .743 -.074 +1826 -.245 .632 .025 +1827 -.256 .628 .040 +1828 -.263 .667 .034 +1829 -.251 .732 .014 +1830 -.218 .791 -.017 +1831 -.196 .835 -.028 +1832 -.183 .846 -.043 +1833 -.184 .856 -.049 +1834 -.164 .839 -.061 +1835 -.168 .823 -.068 +1836 -.160 .812 -.054 +1837 -.158 .790 -.056 +1838 -.189 .755 -.053 +1839 -.207 .737 -.050 +1840 -.219 .712 -.044 +1841 -.230 .657 -.010 +1842 -.265 .586 .070 +1843 -.266 .591 .081 +1844 -.252 .632 .076 +1845 -.236 .714 .042 +1846 -.204 .778 .004 +1847 -.176 .839 -.022 +1848 -.152 .852 -.035 +1849 -.188 .84 -.037 +1850 -.164 .821 -.034 +1851 -.166 .788 -.045 +1852 -.177 .764 -.047 +1853 -.166 .751 -.021 +1854 -.21 .712 -.025 +1855 -.208 .653 .005 +1856 -.229 .649 .002 +1857 -.235 .618 .028 +1858 -.287 .523 .103 +1859 -.254 .533 .113 +1860 -.213 .596 .094 +1861 -.18 .721 .022 +1862 -.158 .787 -.027 +1863 -.135 .856 -.076 +1864 -.104 .846 -.083 +1865 -.174 .807 -.061 +1866 -.151 .783 -.048 +1867 -.126 .728 -.005 +1868 -.179 .614 -.04 +1869 -.225 .653 -.004 +1870 -.242 .621 -.03 +1871 -.258 .593 .01 +1872 -.215 .601 .037 +1873 -.223 .574 .062 +1874 -.213 .707 -.044 +1875 -.197 .736 -.067 +1876 -.161 .846 -.095 +1877 -.165 .852 -.085 +1878 -.232 .691 -.024 +1879 -.157 .832 -.082 +1880 -.246 .696 -.016 +1881 -.158 .812 -.092 +1882 -.206 .839 -.058 +1883 -.227 .805 -.042 +1884 -.248 .721 -.018 +1885 -.166 .780 -.080 +1886 -.185 .85 -.072 +1887 -.24 .763 -.027 +1888 -.182 .759 -.067 +1889 -.183 .857 -.082 +1890 0 .759 -.065 +1891 0 .865 -.131 +1892 0 .925 -.178 +1893 0 .954 -.179 +1894 -.049 .728 -.053 +1895 -.052 .82 -.096 +1896 -.031 .915 -.138 +1897 .007 .949 -.14 +1898 -.641 .141 .53 +1899 -.671 .111 .509 +1900 -.671 .126 .518 +1901 -.657 .14 .526 +1902 -.655 .158 .509 +1903 -.667 .148 .5 +1904 -.666 .134 .493 +1905 -.642 .156 .515 +1906 -.637 .166 .501 +1907 -.659 .148 .477 +1908 -.663 .158 .483 +1909 -.653 .171 .486 +1910 -.662 .162 .476 +1911 -.655 .15 .471 +1912 -.638 .171 .49 +1913 -.651 .167 .497 +1914 -.637 .155 .515 +1915 -.638 .14 .53 +1916 -.652 .146 .467 +1917 -.655 .146 .476 +1918 -.658 .132 .491 +1919 -.665 .111 .508 +1920 -.631 .167 .489 +1921 -.633 .164 .501 +1922 -.648 .112 .558 +1923 -.655 .119 .55 +1924 -.648 .105 .562 +1925 -.666 .096 .547 +1926 -.664 .094 .552 +1927 -.654 .095 .562 +1928 -.664 .111 .544 +1929 -.66 .116 .546 +1930 -.656 .096 .562 +1931 -.659 .115 .548 +1932 -.651 .105 .563 +1933 -.663 .094 .554 +1934 -.662 .11 .545 +1935 -.665 .097 .55 +1936 -.65 .11 .559 +1937 -.665 .135 .523 +1938 -.663 .155 .504 +1939 -.66 .168 .481 +1940 -.66 .163 .49 +1941 -.655 .117 .551 +1942 -.642 .122 .513 +1943 -.641 .137 .499 +1944 -.637 .152 .47 +1945 -.636 .147 .482 +1946 -.655 .121 .548 +1947 -.645 .115 .554 +1948 -.667 .095 .542 +1949 -.665 .112 .542 +1950 -.663 .093 .545 +1951 -.644 .111 .556 +1952 -.661 .119 .544 +1953 -.647 .095 .557 +1954 -.645 .102 .538 +1955 -.665 .119 .54 +1956 -.638 .121 .548 +1957 -.664 .095 .53 +1958 -.67 .112 .536 +1959 -.67 .095 .53 +1960 -.641 .124 .547 +1961 -.655 .124 .544 +1962 -.661 .145 .483 +1963 -.662 .155 .491 +1964 -.651 .164 .503 +1965 -.656 .142 .482 +1966 -.635 .161 .506 +1967 -.639 .163 .507 +1968 -.66 .161 .496 +1969 -.636 .144 .492 +1970 -.664 .152 .508 +1971 -.659 .13 .494 +1972 -.668 .144 .503 +1973 -.666 .131 .495 +1974 -.641 .132 .503 +1975 -.664 .147 .512 +1976 -.637 .15 .52 +1977 -.658 .127 .496 +1978 -.655 .129 .541 +1979 -.64 .13 .542 +1980 -.673 .098 .523 +1981 -.671 .116 .532 +1982 -.667 .099 .522 +1983 -.637 .129 .541 +1984 -.665 .123 .537 +1985 -.644 .111 .53 +1986 -.641 .13 .505 +1987 -.638 .147 .523 +1988 -.657 .146 .52 +1989 -.642 .147 .523 +1990 -.668 .14 .506 +1991 -.656 .151 .516 +1992 -.668 .128 .498 +1993 -.643 .151 .52 +1994 -.668 .122 .502 +1995 -.668 .135 .51 +1996 -.665 .143 .516 +1997 -.661 .122 .5 +1998 -.637 .157 .513 +1999 -.642 .159 .512 +2000 -.662 .157 .502 +2001 -.64 .138 .497 +2002 -.641 .136 .501 +2003 -.637 .152 .518 +2004 -.643 .153 .517 +2005 -.656 .155 .513 +2006 -.664 .138 .489 +2007 -.665 .151 .496 +2008 -.654 .16 .507 +2009 -.657 .136 .488 +2010 -.653 .135 .538 +2011 -.674 .102 .519 +2012 -.666 .102 .519 +2013 -.662 .13 .533 +2014 -.643 .116 .527 +2015 -.64 .134 .539 +2016 -.669 .12 .528 +2017 -.638 .132 .539 +2018 -.654 .132 .54 +2019 -.674 .1 .521 +2020 -.666 .101 .52 +2021 -.663 .127 .536 +2022 -.643 .114 .528 +2023 -.64 .132 .541 +2024 -.67 .117 .53 +2025 -.638 .13 .54 +2026 -.644 .097 .549 +2027 -.64 .117 .55 +2028 -.667 .112 .539 +2029 -.662 .094 .537 +2030 -.669 .095 .535 +2031 -.662 .119 .542 +2032 -.655 .124 .546 +2033 -.642 .12 .549 +2034 -.637 .129 .519 +2035 -.637 .145 .506 +2036 -.632 .156 .478 +2037 -.631 .153 .491 +2038 -.65 .099 .563 +2039 -.652 .1 .564 +2040 -.644 .1 .558 +2041 -.639 .109 .542 +2042 -.632 .151 .5 +2043 -.636 .139 .509 +2044 -.637 .136 .512 +2045 -.64 .118 .534 +2046 -.635 .146 .505 +2047 -.637 .142 .509 +2048 -.637 .124 .531 +2049 -.638 .121 .533 +2050 -.64 .105 .55 +2051 -.653 .107 .523 +2052 -.651 .109 .522 +2053 -.648 .132 .497 +2054 -.645 .136 .492 +2055 -.651 .093 .544 +2056 -.645 .14 .486 +2057 -.654 .092 .552 +2058 -.659 .095 .559 +2059 -.643 .145 .478 +2060 -.653 .105 .525 +2061 -.649 .129 .498 +2062 -.652 .097 .535 +2063 -.65 .125 .501 +2064 -.642 .146 .462 +2065 -.648 .133 .495 +2066 -.652 .114 .509 +2067 -.659 .093 .558 +2068 -.658 .115 .547 +2069 -.657 .098 .562 +2070 -.652 .104 .562 +2071 -.661 .096 .554 +2072 -.66 .11 .545 +2073 -.663 .098 .551 +2074 -.651 .109 .558 +2075 -.655 .115 .55 +2076 -.653 .101 .563 +2077 -.66 .096 .559 +2078 -.658 .104 .556 +2079 -.658 .101 .56 +2080 -.667 .096 .525 +2081 -.672 .097 .526 +2082 -.646 .107 .531 +2083 -.656 .125 .542 +2084 -.671 .113 .533 +2085 -.666 .12 .538 +2086 -.638 .125 .544 +2087 -.64 .128 .544 +2088 -.641 .112 .536 +2089 -.653 .101 .528 +2090 -.675 .101 .513 +2091 -.695 .082 .484 +2092 -.698 .092 .494 +2093 -.686 .1 .51 +2094 -.685 .124 .489 +2095 -.696 .116 .477 +2096 -.692 .105 .468 +2097 -.672 .125 .494 +2098 -.659 .144 .48 +2099 -.684 .121 .453 +2100 -.689 .134 .46 +2101 -.675 .149 .462 +2102 -.689 .143 .449 +2103 -.676 .131 .444 +2104 -.656 .149 .468 +2105 -.675 .144 .474 +2106 -.669 .122 .492 +2107 -.671 .099 .513 +2108 -.672 .126 .441 +2109 -.679 .117 .452 +2110 -.687 .102 .466 +2111 -.689 .078 .483 +2112 -.653 .144 .464 +2113 -.656 .139 .477 +2114 -.692 .068 .532 +2115 -.695 .074 .524 +2116 -.693 .063 .535 +2117 -.702 .06 .517 +2118 -.702 .054 .521 +2119 -.698 .051 .533 +2120 -.701 .069 .516 +2121 -.698 .073 .519 +2122 -.699 .053 .533 +2123 -.697 .071 .52 +2124 -.694 .063 .535 +2125 -.702 .055 .523 +2126 -.699 .068 .517 +2127 -.702 .06 .519 +2128 -.693 .067 .532 +2129 -.694 .098 .502 +2130 -.693 .12 .483 +2131 -.685 .147 .457 +2132 -.685 .14 .468 +2133 -.694 .072 .524 +2134 -.673 .085 .498 +2135 -.67 .106 .476 +2136 -.653 .127 .446 +2137 -.66 .121 .46 +2138 -.695 .076 .523 +2139 -.689 .071 .529 +2140 -.701 .061 .513 +2141 -.701 .071 .514 +2142 -.7 .056 .516 +2143 -.688 .065 .533 +2144 -.699 .075 .518 +2145 -.69 .049 .529 +2146 -.681 .063 .513 +2147 -.699 .079 .515 +2148 -.682 .077 .524 +2149 -.693 .063 .504 +2150 -.701 .074 .51 +2151 -.698 .067 .503 +2152 -.686 .079 .523 +2153 -.693 .081 .519 +2154 -.686 .118 .457 +2155 -.689 .131 .466 +2156 -.675 .141 .481 +2157 -.681 .114 .455 +2158 -.658 .137 .483 +2159 -.662 .141 .484 +2160 -.684 .138 .475 +2161 -.661 .119 .467 +2162 -.694 .116 .487 +2163 -.688 .099 .468 +2164 -.696 .11 .48 +2165 -.693 .102 .47 +2166 -.671 .1 .481 +2167 -.694 .108 .492 +2168 -.671 .113 .5 +2169 -.689 .094 .472 +2170 -.691 .085 .518 +2171 -.682 .086 .521 +2172 -.697 .071 .498 +2173 -.7 .078 .505 +2174 -.692 .068 .496 +2175 -.679 .085 .521 +2176 -.698 .083 .512 +2177 -.677 .072 .505 +2178 -.671 .092 .49 +2179 -.671 .106 .505 +2180 -.686 .107 .502 +2181 -.675 .107 .506 +2182 -.696 .105 .485 +2183 -.687 .111 .496 +2184 -.694 .097 .474 +2185 -.675 .115 .501 +2186 -.695 .09 .479 +2187 -.697 .099 .488 +2188 -.693 .104 .495 +2189 -.687 .087 .478 +2190 -.668 .126 .491 +2191 -.67 .129 .492 +2192 -.691 .125 .479 +2193 -.668 .107 .474 +2194 -.67 .103 .478 +2195 -.67 .119 .495 +2196 -.673 .121 .497 +2197 -.686 .118 .491 +2198 -.691 .108 .465 +2199 -.695 .12 .473 +2200 -.682 .128 .487 +2201 -.686 .105 .465 +2202 -.689 .092 .515 +2203 -.697 .075 .492 +2204 -.691 .073 .492 +2205 -.696 .09 .507 +2206 -.678 .078 .502 +2207 -.679 .092 .518 +2208 -.7 .084 .5 +2209 -.676 .09 .518 +2210 -.689 .089 .517 +2211 -.698 .073 .495 +2212 -.692 .071 .494 +2213 -.698 .086 .509 +2214 -.677 .075 .504 +2215 -.681 .089 .519 +2216 -.701 .082 .502 +2217 -.677 .088 .519 +2218 -.683 .054 .521 +2219 -.685 .071 .527 +2220 -.701 .071 .513 +2221 -.696 .057 .511 +2222 -.7 .063 .509 +2223 -.698 .076 .517 +2224 -.694 .078 .522 +2225 -.687 .075 .526 +2226 -.669 .09 .505 +2227 -.669 .111 .482 +2228 -.647 .137 .453 +2229 -.656 .128 .468 +2230 -.695 .055 .536 +2231 -.697 .056 .535 +2232 -.687 .054 .534 +2233 -.678 .068 .518 +2234 -.656 .127 .475 +2235 -.668 .104 .488 +2236 -.668 .098 .496 +2237 -.675 .077 .512 +2238 -.666 .113 .481 +2239 -.668 .108 .485 +2240 -.674 .084 .51 +2241 -.675 .08 .511 +2242 -.682 .059 .526 +2243 -.682 .072 .498 +2244 -.682 .074 .496 +2245 -.675 .1 .473 +2246 -.674 .104 .469 +2247 -.688 .053 .516 +2248 -.669 .114 .46 +2249 -.694 .048 .523 +2250 -.701 .052 .528 +2251 -.666 .117 .454 +2252 -.682 .069 .5 +2253 -.675 .095 .476 +2254 -.685 .061 .509 +2255 -.677 .087 .483 +2256 -.663 .125 .438 +2257 -.676 .102 .471 +2258 -.678 .082 .491 +2259 -.7 .05 .528 +2260 -.697 .07 .52 +2261 -.7 .054 .532 +2262 -.695 .061 .534 +2263 -.702 .055 .524 +2264 -.699 .068 .517 +2265 -.701 .059 .521 +2266 -.694 .065 .531 +2267 -.694 .071 .524 +2268 -.698 .056 .534 +2269 -.701 .053 .529 +2270 -.698 .063 .526 +2271 -.699 .058 .53 +2272 -.692 .067 .499 +2273 -.698 .069 .5 +2274 -.678 .069 .508 +2275 -.692 .083 .518 +2276 -.7 .077 .507 +2277 -.698 .08 .514 +2278 -.68 .083 .523 +2279 -.684 .083 .522 +2280 -.676 .073 .514 +2281 -.683 .066 .502 +2282 -.697 .091 .468 +2283 -.71 .078 .444 +2284 -.714 .084 .45 +2285 -.706 .09 .461 +2286 -.702 .113 .454 +2287 -.709 .106 .439 +2288 -.706 .1 .431 +2289 -.692 .111 .46 +2290 -.683 .124 .448 +2291 -.698 .114 .419 +2292 -.702 .124 .427 +2293 -.69 .135 .434 +2294 -.701 .132 .42 +2295 -.687 .12 .409 +2296 -.679 .129 .44 +2297 -.694 .127 .44 +2298 -.688 .108 .458 +2299 -.694 .088 .465 +2300 -.684 .114 .409 +2301 -.694 .109 .419 +2302 -.702 .096 .429 +2303 -.707 .073 .441 +2304 -.675 .125 .44 +2305 -.68 .119 .446 +2306 -.714 .05 .487 +2307 -.716 .058 .478 +2308 -.714 .044 .49 +2309 -.721 .041 .471 +2310 -.722 .036 .473 +2311 -.716 .035 .484 +2312 -.72 .054 .469 +2313 -.719 .058 .473 +2314 -.72 .036 .485 +2315 -.718 .056 .474 +2316 -.717 .043 .489 +2317 -.723 .037 .475 +2318 -.72 .053 .471 +2319 -.723 .041 .474 +2320 -.715 .048 .488 +2321 -.712 .088 .455 +2322 -.707 .11 .446 +2323 -.698 .134 .428 +2324 -.699 .126 .433 +2325 -.716 .056 .479 +2326 -.692 .077 .449 +2327 -.685 .096 .438 +2328 -.67 .116 .42 +2329 -.677 .108 .427 +2330 -.715 .06 .477 +2331 -.71 .053 .486 +2332 -.72 .043 .467 +2333 -.72 .054 .467 +2334 -.719 .037 .468 +2335 -.708 .048 .487 +2336 -.719 .06 .472 +2337 -.709 .036 .48 +2338 -.701 .048 .466 +2339 -.718 .063 .468 +2340 -.7 .063 .481 +2341 -.715 .047 .456 +2342 -.721 .058 .462 +2343 -.719 .05 .457 +2344 -.703 .067 .481 +2345 -.713 .067 .475 +2346 -.7 .111 .423 +2347 -.703 .119 .43 +2348 -.695 .123 .444 +2349 -.696 .107 .421 +2350 -.682 .118 .449 +2351 -.686 .121 .452 +2352 -.701 .122 .437 +2353 -.678 .106 .429 +2354 -.709 .107 .446 +2355 -.702 .093 .43 +2356 -.71 .103 .44 +2357 -.708 .097 .433 +2358 -.687 .093 .439 +2359 -.71 .103 .447 +2360 -.69 .103 .46 +2361 -.703 .09 .432 +2362 -.711 .074 .473 +2363 -.701 .074 .477 +2364 -.717 .057 .453 +2365 -.719 .065 .459 +2366 -.712 .054 .45 +2367 -.697 .072 .477 +2368 -.717 .069 .466 +2369 -.699 .06 .458 +2370 -.687 .091 .441 +2371 -.69 .099 .46 +2372 -.705 .102 .455 +2373 -.694 .102 .463 +2374 -.71 .099 .441 +2375 -.704 .105 .455 +2376 -.708 .094 .435 +2377 -.693 .106 .462 +2378 -.708 .09 .437 +2379 -.712 .096 .443 +2380 -.71 .099 .448 +2381 -.703 .087 .434 +2382 -.687 .111 .457 +2383 -.691 .114 .458 +2384 -.705 .113 .445 +2385 -.684 .098 .437 +2386 -.686 .095 .439 +2387 -.688 .106 .458 +2388 -.692 .109 .461 +2389 -.703 .109 .455 +2390 -.704 .104 .43 +2391 -.706 .11 .438 +2392 -.699 .115 .453 +2393 -.7 .099 .427 +2394 -.707 .081 .469 +2395 -.715 .066 .449 +2396 -.711 .061 .446 +2397 -.715 .078 .462 +2398 -.696 .066 .455 +2399 -.7 .08 .473 +2400 -.715 .073 .455 +2401 -.696 .079 .473 +2402 -.708 .078 .472 +2403 -.715 .062 .451 +2404 -.712 .058 .449 +2405 -.715 .074 .465 +2406 -.698 .062 .457 +2407 -.701 .076 .476 +2408 -.716 .069 .458 +2409 -.696 .075 .475 +2410 -.704 .041 .473 +2411 -.704 .055 .483 +2412 -.721 .056 .466 +2413 -.718 .041 .463 +2414 -.72 .046 .462 +2415 -.719 .061 .47 +2416 -.714 .064 .476 +2417 -.707 .06 .483 +2418 -.69 .081 .455 +2419 -.684 .1 .448 +2420 -.67 .122 .43 +2421 -.675 .112 .436 +2422 -.714 .037 .488 +2423 -.718 .037 .488 +2424 -.708 .04 .484 +2425 -.698 .054 .472 +2426 -.678 .109 .437 +2427 -.686 .096 .448 +2428 -.687 .094 .449 +2429 -.696 .065 .466 +2430 -.682 .102 .447 +2431 -.685 .099 .448 +2432 -.692 .071 .463 +2433 -.695 .068 .465 +2434 -.701 .046 .478 +2435 -.703 .059 .452 +2436 -.701 .062 .45 +2437 -.692 .093 .432 +2438 -.689 .096 .429 +2439 -.709 .039 .468 +2440 -.685 .104 .424 +2441 -.712 .034 .474 +2442 -.722 .035 .482 +2443 -.683 .107 .422 +2444 -.704 .056 .453 +2445 -.693 .091 .433 +2446 -.706 .045 .46 +2447 -.693 .089 .435 +2448 -.674 .114 .409 +2449 -.69 .095 .431 +2450 -.697 .075 .443 +2451 -.719 .034 .48 +2452 -.717 .055 .474 +2453 -.72 .037 .485 +2454 -.717 .044 .488 +2455 -.723 .038 .477 +2456 -.719 .052 .471 +2457 -.723 .042 .475 +2458 -.715 .048 .486 +2459 -.715 .055 .479 +2460 -.718 .039 .487 +2461 -.721 .037 .482 +2462 -.721 .045 .481 +2463 -.721 .042 .483 +2464 -.714 .051 .452 +2465 -.717 .054 .454 +2466 -.701 .055 .46 +2467 -.712 .07 .473 +2468 -.72 .061 .461 +2469 -.719 .065 .467 +2470 -.698 .068 .478 +2471 -.702 .071 .479 +2472 -.697 .06 .467 +2473 -.706 .052 .454 +2474 -.698 .087 .419 +2475 -.704 .079 .399 +2476 -.708 .084 .405 +2477 -.706 .086 .413 +2478 -.706 .103 .405 +2479 -.708 .1 .397 +2480 -.702 .093 .392 +2481 -.695 .102 .412 +2482 -.691 .114 .407 +2483 -.697 .104 .386 +2484 -.703 .113 .391 +2485 -.698 .128 .395 +2486 -.699 .123 .386 +2487 -.693 .111 .381 +2488 -.688 .12 .405 +2489 -.7 .117 .399 +2490 -.691 .099 .411 +2491 -.693 .086 .42 +2492 -.688 .106 .382 +2493 -.692 .101 .386 +2494 -.697 .09 .392 +2495 -.701 .077 .398 +2496 -.685 .115 .406 +2497 -.687 .112 .407 +2498 -.706 .058 .429 +2499 -.708 .061 .423 +2500 -.706 .054 .431 +2501 -.711 .051 .416 +2502 -.711 .048 .417 +2503 -.709 .046 .425 +2504 -.711 .057 .417 +2505 -.71 .06 .419 +2506 -.71 .047 .426 +2507 -.71 .059 .42 +2508 -.707 .054 .431 +2509 -.712 .048 .418 +2510 -.711 .057 .417 +2511 -.712 .051 .417 +2512 -.707 .057 .429 +2513 -.709 .086 .409 +2514 -.708 .102 .401 +2515 -.7 .126 .391 +2516 -.702 .116 .395 +2517 -.708 .06 .423 +2518 -.69 .078 .406 +2519 -.687 .091 .4 +2520 -.68 .108 .393 +2521 -.683 .103 .395 +2522 -.708 .063 .423 +2523 -.704 .061 .429 +2524 -.71 .052 .414 +2525 -.71 .059 .415 +2526 -.709 .049 .415 +2527 -.702 .058 .431 +2528 -.71 .062 .419 +2529 -.703 .045 .424 +2530 -.694 .06 .416 +2531 -.71 .068 .418 +2532 -.697 .069 .428 +2533 -.704 .06 .407 +2534 -.711 .066 .413 +2535 -.707 .061 .407 +2536 -.7 .07 .428 +2537 -.708 .07 .423 +2538 -.698 .102 .388 +2539 -.704 .109 .393 +2540 -.702 .113 .401 +2541 -.694 .099 .387 +2542 -.688 .108 .407 +2543 -.692 .111 .408 +2544 -.704 .112 .397 +2545 -.684 .1 .396 +2546 -.708 .099 .403 +2547 -.698 .087 .393 +2548 -.708 .096 .399 +2549 -.703 .09 .394 +2550 -.689 .086 .402 +2551 -.709 .095 .405 +2552 -.692 .093 .415 +2553 -.699 .085 .395 +2554 -.707 .078 .42 +2555 -.699 .078 .425 +2556 -.706 .069 .404 +2557 -.71 .074 .41 +2558 -.703 .067 .403 +2559 -.696 .077 .424 +2560 -.71 .077 .415 +2561 -.693 .069 .413 +2562 -.689 .083 .403 +2563 -.693 .09 .417 +2564 -.706 .091 .41 +2565 -.697 .091 .417 +2566 -.709 .093 .401 +2567 -.706 .096 .408 +2568 -.703 .087 .396 +2569 -.696 .095 .415 +2570 -.704 .084 .397 +2571 -.709 .088 .403 +2572 -.709 .091 .407 +2573 -.699 .082 .396 +2574 -.69 .102 .41 +2575 -.695 .105 .411 +2576 -.707 .105 .4 +2577 -.686 .094 .398 +2578 -.688 .088 .401 +2579 -.691 .096 .413 +2580 -.696 .098 .413 +2581 -.706 .099 .407 +2582 -.701 .095 .391 +2583 -.707 .102 .396 +2584 -.704 .106 .404 +2585 -.696 .092 .39 +2586 -.707 .082 .417 +2587 -.706 .074 .402 +2588 -.702 .072 .401 +2589 -.709 .081 .412 +2590 -.692 .073 .41 +2591 -.698 .082 .423 +2592 -.709 .079 .407 +2593 -.695 .081 .422 +2594 -.707 .08 .419 +2595 -.705 .072 .403 +2596 -.702 .07 .402 +2597 -.71 .079 .414 +2598 -.693 .071 .411 +2599 -.699 .079 .424 +2600 -.71 .077 .409 +2601 -.696 .079 .423 +2602 -.697 .05 .42 +2603 -.699 .063 .43 +2604 -.711 .062 .414 +2605 -.708 .053 .411 +2606 -.709 .055 .411 +2607 -.711 .065 .418 +2608 -.709 .068 .424 +2609 -.701 .065 .428 +2610 -.689 .08 .41 +2611 -.687 .093 .403 +2612 -.679 .114 .4 +2613 -.683 .105 .399 +2614 -.707 .048 .428 +2615 -.709 .049 .428 +2616 -.701 .048 .428 +2617 -.692 .062 .421 +2618 -.684 .102 .399 +2619 -.687 .087 .406 +2620 -.688 .084 .408 +2621 -.691 .071 .418 +2622 -.686 .096 .402 +2623 -.687 .09 .405 +2624 -.692 .076 .414 +2625 -.691 .073 .416 +2626 -.696 .053 .425 +2627 -.695 .069 .406 +2628 -.694 .072 .405 +2629 -.69 .087 .398 +2630 -.688 .093 .395 +2631 -.7 .049 .415 +2632 -.686 .098 .392 +2633 -.706 .044 .419 +2634 -.712 .046 .422 +2635 -.684 .101 .391 +2636 -.695 .067 .408 +2637 -.691 .085 .399 +2638 -.697 .058 .411 +2639 -.692 .082 .4 +2640 -.681 .105 .39 +2641 -.689 .09 .396 +2642 -.693 .077 .401 +2643 -.711 .045 .421 +2644 -.71 .058 .42 +2645 -.712 .048 .425 +2646 -.708 .053 .429 +2647 -.711 .049 .419 +2648 -.711 .056 .417 +2649 -.712 .051 .418 +2650 -.707 .056 .429 +2651 -.708 .06 .423 +2652 -.709 .05 .428 +2653 -.713 .047 .422 +2654 -.71 .054 .423 +2655 -.71 .051 .424 +2656 -.703 .065 .405 +2657 -.706 .066 .406 +2658 -.692 .067 .414 +2659 -.707 .075 .421 +2660 -.71 .07 .412 +2661 -.71 .074 .417 +2662 -.696 .074 .427 +2663 -.7 .075 .426 +2664 -.691 .069 .42 +2665 -.695 .065 .409 +2666 -.549 .183 .468 +2667 -.587 .186 .485 +2668 -.573 .192 .482 +2669 -.552 .189 .473 +2670 -.55 .177 .465 +2671 -.584 .179 .478 +2672 -.543 .166 .494 +2673 -.549 .175 .491 +2674 -.54 .161 .499 +2675 -.576 .179 .507 +2676 -.572 .171 .51 +2677 -.557 .16 .509 +2678 -.569 .181 .5 +2679 -.559 .18 .494 +2680 -.553 .162 .512 +2681 -.558 .178 .494 +2682 -.541 .163 .504 +2683 -.565 .171 .513 +2684 -.567 .18 .502 +2685 -.57 .178 .509 +2686 -.544 .168 .497 +2687 -.56 .194 .478 +2688 -.549 .174 .492 +2689 -.57 .171 .467 +2690 -.55 .176 .489 +2691 -.542 .168 .49 +2692 -.579 .179 .505 +2693 -.571 .182 .499 +2694 -.577 .172 .507 +2695 -.54 .161 .492 +2696 -.56 .182 .493 +2697 -.559 .159 .503 +2698 -.565 .16 .487 +2699 -.56 .184 .49 +2700 -.543 .164 .48 +2701 -.582 .174 .497 +2702 -.573 .184 .495 +2703 -.584 .181 .499 +2704 -.543 .171 .481 +2705 -.549 .179 .485 +2706 -.551 .183 .481 +2707 -.545 .175 .476 +2708 -.586 .182 .493 +2709 -.574 .187 .491 +2710 -.585 .176 .489 +2711 -.546 .168 .473 +2712 -.56 .188 .487 +2713 -.568 .164 .477 +2714 -.572 .173 .462 +2715 -.552 .18 .46 +2716 -.554 .192 .468 +2717 -.552 .186 .464 +2718 -.587 .188 .478 +2719 -.573 .194 .476 +2720 -.562 .197 .474 +2721 -.585 .182 .472 +2722 -.55 .187 .477 +2723 -.586 .184 .488 +2724 -.584 .178 .482 +2725 -.56 .192 .482 +2726 -.569 .167 .471 +2727 -.547 .18 .472 +2728 -.573 .189 .485 +2729 -.548 .172 .468 +2730 -.55 .185 .479 +2731 -.586 .183 .491 +2732 -.585 .177 .486 +2733 -.559 .189 .486 +2734 -.568 .166 .474 +2735 -.546 .177 .475 +2736 -.574 .188 .489 +2737 -.547 .17 .471 +2738 -.563 .159 .495 +2739 -.541 .161 .485 +2740 -.572 .183 .497 +2741 -.58 .173 .502 +2742 -.582 .18 .502 +2743 -.561 .183 .491 +2744 -.551 .178 .487 +2745 -.543 .169 .486 +2746 -.557 .17 .464 +2747 -.545 .157 .504 +2748 -.545 .162 .508 +2749 -.547 .156 .498 +2750 -.551 .158 .482 +2751 -.56 .174 .459 +2752 -.554 .163 .472 +2753 -.557 .166 .467 +2754 -.555 .164 .47 +2755 -.549 .156 .489 +2756 -.579 .172 .48 +2757 -.579 .173 .478 +2758 -.574 .166 .5 +2759 -.571 .165 .506 +2760 -.561 .166 .513 +2761 -.579 .171 .484 +2762 -.577 .167 .494 +2763 -.58 .176 .467 +2764 -.581 .176 .474 +2765 -.565 .165 .51 +2766 -.557 .177 .495 +2767 -.552 .165 .511 +2768 -.543 .165 .504 +2769 -.563 .172 .512 +2770 -.567 .179 .502 +2771 -.569 .177 .507 +2772 -.545 .168 .498 +2773 -.549 .173 .492 +2774 -.546 .164 .509 +2775 -.56 .169 .513 +2776 -.556 .173 .505 +2777 -.553 .169 .509 +2778 -.584 .174 .492 +2779 -.585 .181 .496 +2780 -.567 .164 .479 +2781 -.549 .181 .482 +2782 -.573 .186 .493 +2783 -.56 .186 .489 +2784 -.545 .166 .476 +2785 -.544 .173 .478 +2786 -.552 .16 .474 +2787 -.578 .17 .486 +2788 -.647 .143 .529 +2789 -.673 .117 .514 +2790 -.667 .141 .496 +2791 -.647 .157 .513 +2792 -.66 .155 .47 +2793 -.646 .171 .489 +2794 -.644 .167 .5 +2795 -.662 .154 .48 +2796 -.65 .118 .553 +2797 -.665 .103 .544 +2798 -.651 .115 .554 +2799 -.663 .103 .546 +2800 -.667 .103 .541 +2801 -.649 .12 .551 +2802 -.644 .165 .505 +2803 -.662 .151 .487 +2804 -.669 .133 .501 +2805 -.648 .151 .518 +2806 -.644 .126 .547 +2807 -.674 .105 .526 +2808 -.643 .131 .543 +2809 -.669 .128 .505 +2810 -.648 .147 .523 +2811 -.672 .103 .532 +2812 -.668 .137 .498 +2813 -.649 .154 .516 +2814 -.647 .159 .511 +2815 -.665 .146 .493 +2816 -.645 .136 .54 +2817 -.674 .109 .522 +2818 -.644 .134 .542 +2819 -.674 .107 .524 +2820 -.67 .103 .537 +2821 -.646 .122 .549 +2822 -.662 .104 .546 +2823 -.651 .114 .554 +2824 -.658 .108 .554 +2825 -.674 .103 .529 +2826 -.644 .129 .543 +2827 -.68 .101 .512 +2828 -.698 .086 .488 +2829 -.696 .111 .471 +2830 -.679 .125 .492 +2831 -.681 .137 .441 +2832 -.662 .151 .463 +2833 -.666 .144 .479 +2834 -.688 .128 .456 +2835 -.692 .072 .528 +2836 -.701 .065 .515 +2837 -.693 .07 .528 +2838 -.701 .065 .517 +2839 -.701 .065 .512 +2840 -.692 .075 .526 +2841 -.667 .143 .484 +2842 -.689 .124 .46 +2843 -.696 .1 .479 +2844 -.68 .113 .499 +2845 -.689 .081 .521 +2846 -.7 .074 .5 +2847 -.687 .086 .519 +2848 -.696 .094 .482 +2849 -.68 .107 .504 +2850 -.7 .07 .506 +2851 -.696 .107 .475 +2852 -.68 .12 .494 +2853 -.677 .129 .49 +2854 -.694 .114 .469 +2855 -.685 .093 .517 +2856 -.699 .08 .495 +2857 -.685 .089 .518 +2858 -.699 .077 .498 +2859 -.701 .067 .509 +2860 -.69 .077 .524 +2861 -.7 .064 .518 +2862 -.693 .07 .528 +2863 -.698 .066 .523 +2864 -.7 .072 .502 +2865 -.687 .083 .52 +2866 -.702 .091 .465 +2867 -.712 .081 .446 +2868 -.708 .103 .434 +2869 -.696 .112 .458 +2870 -.697 .132 .412 +2871 -.681 .134 .436 +2872 -.688 .126 .445 +2873 -.701 .119 .422 +2874 -.714 .055 .483 +2875 -.721 .047 .469 +2876 -.715 .053 .483 +2877 -.722 .047 .471 +2878 -.72 .049 .467 +2879 -.713 .058 .481 +2880 -.691 .123 .448 +2881 -.702 .114 .425 +2882 -.71 .096 .438 +2883 -.698 .107 .46 +2884 -.708 .068 .479 +2885 -.718 .06 .455 +2886 -.705 .075 .476 +2887 -.71 .093 .44 +2888 -.699 .103 .461 +2889 -.72 .054 .46 +2890 -.709 .1 .435 +2891 -.696 .11 .459 +2892 -.694 .115 .456 +2893 -.706 .107 .434 +2894 -.704 .081 .472 +2895 -.715 .07 .452 +2896 -.705 .078 .474 +2897 -.716 .065 .454 +2898 -.72 .051 .463 +2899 -.71 .063 .481 +2900 -.721 .047 .472 +2901 -.716 .053 .483 +2902 -.719 .049 .478 +2903 -.72 .056 .457 +2904 -.707 .071 .477 +2905 -.702 .086 .417 +2906 -.708 .082 .402 +2907 -.707 .097 .395 +2908 -.702 .103 .41 +2909 -.698 .119 .384 +2910 -.694 .128 .402 +2911 -.697 .117 .403 +2912 -.701 .109 .388 +2913 -.707 .061 .427 +2914 -.711 .054 .416 +2915 -.707 .059 .426 +2916 -.712 .054 .417 +2917 -.711 .056 .414 +2918 -.706 .063 .427 +2919 -.698 .113 .405 +2920 -.702 .105 .39 +2921 -.707 .09 .398 +2922 -.701 .095 .412 +2923 -.704 .071 .426 +2924 -.709 .072 .407 +2925 -.704 .078 .423 +2926 -.707 .086 .4 +2927 -.702 .091 .414 +2928 -.709 .063 .409 +2929 -.707 .094 .397 +2930 -.702 .1 .411 +2931 -.701 .106 .408 +2932 -.706 .1 .393 +2933 -.703 .083 .42 +2934 -.708 .077 .404 +2935 -.703 .08 .421 +2936 -.708 .074 .405 +2937 -.71 .058 .411 +2938 -.705 .067 .427 +2939 -.711 .054 .417 +2940 -.707 .058 .426 +2941 -.709 .056 .422 +2942 -.709 .069 .408 +2943 -.704 .075 .425 +2944 -.636 .135 .526 +2945 -.635 .15 .513 +2946 -.63 .163 .484 +2947 -.631 .16 .497 +2948 -.661 .092 .556 +2949 -.651 .102 .564 +2950 -.659 .112 .507 +2951 -.653 .133 .492 +2952 -.646 .143 .463 +2953 -.65 .145 .476 +2954 -.643 .105 .557 +2955 -.638 .117 .546 +2956 -.632 .157 .504 +2957 -.636 .146 .517 +2958 -.636 .143 .518 +2959 -.637 .125 .539 +2960 -.635 .152 .51 +2961 -.636 .148 .514 +2962 -.636 .13 .536 +2963 -.637 .128 .538 +2964 -.657 .093 .54 +2965 -.649 .102 .563 +2966 -.64 .113 .551 +2967 -.658 .103 .521 +2968 -.653 .13 .495 +2969 -.652 .135 .49 +2970 -.658 .104 .52 +2971 -.651 .141 .483 +2972 -.661 .094 .556 +2973 -.659 .092 .547 +2974 -.659 .102 .523 +2975 -.657 .096 .532 +2976 -.655 .123 .5 +2977 -.654 .127 .497 +2978 -.653 .102 .563 +2979 -.661 .096 .557 +2980 -.657 .099 .561 +2981 -.638 .121 .541 +2982 -.659 .098 .525 +2983 -.669 .094 .51 +2984 -.669 .116 .487 +2985 -.649 .138 .459 +2986 -.656 .133 .471 +2987 -.701 .051 .524 +2988 -.695 .059 .536 +2989 -.684 .078 .486 +2990 -.682 .101 .468 +2991 -.669 .125 .44 +2992 -.674 .116 .452 +2993 -.687 .06 .534 +2994 -.68 .073 .522 +2995 -.656 .132 .479 +2996 -.669 .109 .493 +2997 -.668 .102 .502 +2998 -.675 .081 .517 +2999 -.666 .119 .486 +3000 -.669 .113 .49 +3001 -.674 .087 .515 +3002 -.675 .085 .516 +3003 -.692 .054 .514 +3004 -.694 .058 .537 +3005 -.682 .064 .528 +3006 -.688 .07 .495 +3007 -.682 .098 .47 +3008 -.681 .104 .466 +3009 -.688 .072 .493 +3010 -.676 .111 .455 +3011 -.702 .053 .526 +3012 -.698 .05 .52 +3013 -.687 .068 .498 +3014 -.69 .061 .505 +3015 -.683 .085 .478 +3016 -.682 .093 .473 +3017 -.696 .059 .535 +3018 -.701 .053 .527 +3019 -.7 .056 .531 +3020 -.677 .078 .519 +3021 -.688 .066 .5 +3022 -.692 .084 .461 +3023 -.686 .105 .454 +3024 -.672 .123 .435 +3025 -.678 .115 .441 +3026 -.721 .033 .477 +3027 -.717 .039 .489 +3028 -.703 .074 .441 +3029 -.697 .094 .429 +3030 -.68 .113 .411 +3031 -.688 .107 .419 +3032 -.707 .043 .486 +3033 -.698 .059 .478 +3034 -.679 .113 .445 +3035 -.687 .1 .455 +3036 -.688 .097 .456 +3037 -.695 .068 .473 +3038 -.683 .107 .454 +3039 -.687 .102 .454 +3040 -.693 .076 .47 +3041 -.694 .072 .471 +3042 -.712 .039 .465 +3043 -.714 .04 .489 +3044 -.702 .05 .481 +3045 -.708 .058 .45 +3046 -.697 .093 .43 +3047 -.695 .097 .427 +3048 -.707 .061 .447 +3049 -.691 .104 .422 +3050 -.723 .034 .48 +3051 -.715 .035 .471 +3052 -.708 .055 .451 +3053 -.711 .045 .458 +3054 -.698 .088 .433 +3055 -.697 .091 .431 +3056 -.718 .041 .487 +3057 -.722 .036 .481 +3058 -.721 .04 .484 +3059 -.697 .065 .474 +3060 -.709 .051 .452 +3061 -.69 .083 .416 +3062 -.687 .095 .407 +3063 -.682 .114 .403 +3064 -.683 .108 .402 +3065 -.711 .046 .419 +3066 -.708 .051 .43 +3067 -.697 .076 .399 +3068 -.693 .089 .393 +3069 -.684 .105 .385 +3070 -.687 .1 .387 +3071 -.702 .053 .431 +3072 -.694 .065 .426 +3073 -.684 .104 .403 +3074 -.688 .09 .411 +3075 -.689 .087 .413 +3076 -.693 .074 .422 +3077 -.687 .098 .406 +3078 -.688 .093 .409 +3079 -.691 .078 .418 +3080 -.692 .076 .421 +3081 -.705 .051 .413 +3082 -.706 .051 .43 +3083 -.698 .058 .428 +3084 -.698 .069 .403 +3085 -.694 .086 .394 +3086 -.692 .092 .392 +3087 -.698 .071 .401 +3088 -.688 .097 .388 +3089 -.712 .047 .42 +3090 -.708 .047 .416 +3091 -.699 .067 .404 +3092 -.701 .058 .407 +3093 -.695 .081 .397 +3094 -.695 .084 .396 +3095 -.709 .051 .429 +3096 -.712 .048 .42 +3097 -.711 .05 .424 +3098 -.693 .072 .423 +3099 -.7 .064 .405 +3100 -.652 .175 .482 +3101 -.663 .166 .47 +3102 -.638 .173 .485 +3103 -.631 .17 .484 +3104 -.659 .171 .477 +3105 -.635 .153 .466 +3106 -.633 .157 .471 +3107 -.639 .148 .457 +3108 -.676 .156 .457 +3109 -.687 .15 .443 +3110 -.684 .153 .451 +3111 -.648 .131 .438 +3112 -.644 .138 .447 +3113 -.655 .129 .432 +3114 -.689 .142 .43 +3115 -.699 .139 .414 +3116 -.697 .141 .423 +3117 -.666 .119 .415 +3118 -.662 .123 .423 +3119 -.672 .115 .407 +3120 -.694 .135 .394 +3121 -.696 .128 .382 +3122 -.69 .115 .378 +3123 -.684 .11 .379 +3124 -.697 .132 .388 +3125 -.678 .11 .391 +3126 -.676 .114 .398 +3127 -.679 .108 .388 +3128 -.647 .174 .483 +3129 -.695 .124 .381 +3130 -.631 .163 .471 +3131 -.679 .109 .384 +3132 -.654 .178 .475 +3133 -.662 .171 .467 +3134 -.635 .177 .475 +3135 -.659 .177 .47 +3136 -.628 .16 .457 +3137 -.628 .167 .467 +3138 -.631 .153 .447 +3139 -.677 .161 .45 +3140 -.685 .157 .44 +3141 -.682 .162 .443 +3142 -.642 .143 .428 +3143 -.637 .148 .436 +3144 -.648 .139 .42 +3145 -.688 .148 .421 +3146 -.695 .146 .412 +3147 -.692 .149 .415 +3148 -.659 .126 .403 +3149 -.653 .133 .41 +3150 -.664 .12 .394 +3151 -.692 .14 .389 +3152 -.693 .133 .381 +3153 -.687 .121 .374 +3154 -.692 .139 .383 +3155 -.679 .113 .377 +3156 -.669 .114 .384 +3157 -.648 .181 .473 +3158 -.69 .133 .375 +3159 -.659 .122 .388 +3160 -.632 .184 .466 +3161 -.658 .182 .464 +3162 -.625 .169 .463 +3163 -.624 .165 .454 +3164 -.626 .159 .442 +3165 -.679 .168 .437 +3166 -.64 .149 .423 +3167 -.633 .154 .432 +3168 -.646 .145 .414 +3169 -.65 .14 .405 +3170 -.665 .135 .352 +3171 -.565 .217 .417 +3172 -.567 .202 .414 +3173 -.683 .153 .423 +3174 -.663 .171 .46 +3175 -.665 .195 .406 +3176 -.642 .189 .463 +3177 -.617 .171 .447 +3178 -.655 .131 .356 +3179 -.613 .198 .448 +3180 -.621 .168 .435 +3181 -.636 .159 .417 +3182 -.629 .163 .425 +3183 -.642 .154 .409 +3184 -.65 .14 .39 +3185 -.647 .148 .4 +3186 -.654 .129 .379 +3187 -.686 .151 .385 +3188 -.686 .137 .37 +3189 -.674 .123 .365 +3190 -.676 .117 .373 +3191 -.687 .147 .376 +3192 -.571 .189 .415 +3193 -.582 .183 .421 +3194 -.684 .144 .431 +3195 -.636 .213 .428 +3196 -.679 .134 .363 +3197 -.672 .183 .421 +3198 -.656 .192 .437 +3199 -.682 .162 .386 +3200 -.568 .219 .401 +3201 -.572 .201 .398 +3202 -.576 .188 .401 +3203 -.589 .181 .41 +3204 -.607 .175 .426 +3205 -.647 .198 .446 +3206 -.682 .157 .378 +3207 -.682 .143 .364 +3208 -.684 .127 .369 +3209 -.684 .152 .37 +3210 -.594 .181 .43 +3211 -.604 .181 .439 +3212 -.692 .148 .402 +3213 -.674 .175 .413 +3214 -.665 .187 .429 +3215 -.682 .168 .395 +3216 -.581 .232 .411 +3217 -.605 .22 .433 +3218 -.679 .164 .37 +3219 -.68 .158 .363 +3220 -.655 .131 .395 +3221 -.683 .157 .433 +3222 -.632 .232 .39 +3223 -.678 .17 .404 +3224 -.681 .16 .415 +3225 -.686 .16 .405 +3226 -.664 .196 .352 +3227 -.655 .216 .369 +3228 -.642 .227 .383 +3229 -.662 .203 .357 +3230 -.659 .21 .363 +3231 -.617 .238 .396 +3232 -.665 .19 .347 +3233 -.643 .165 .324 +3234 -.636 .15 .34 +3235 -.665 .178 .338 +3236 -.598 .218 .437 +3237 -.685 .149 .437 +3238 -.65 .221 .376 +3239 -.673 .182 .391 +3240 -.641 .153 .331 +3241 -.672 .142 .353 +3242 -.668 .175 .441 +3243 -.678 .164 .425 +3244 -.687 .155 .395 +3245 -.677 .178 .384 +3246 -.657 .2 .414 +3247 -.669 .188 .399 +3248 -.661 .18 .448 +3249 -.677 .172 .434 +3250 -.654 .188 .458 +3251 -.678 .171 .377 +3252 -.648 .206 .421 +3253 -.67 .165 .45 +3254 -.695 .138 .407 +3255 -.638 .168 .495 +3256 -.653 .168 .491 +3257 -.662 .159 .48 +3258 -.658 .15 .475 +3259 -.653 .147 .472 +3260 -.632 .166 .496 +3261 -.659 .165 .486 +3262 -.637 .149 .477 +3263 -.632 .154 .484 +3264 -.644 .148 .473 +3265 -.645 .17 .494 +3266 -.661 .154 .476 +3267 -.63 .161 .49 +3268 -.649 .146 .472 +3269 -.657 .124 .451 +3270 -.684 .144 .46 +3271 -.655 .142 .47 +3272 -.675 .123 .446 +3273 -.685 .132 .451 +3274 -.666 .147 .473 +3275 -.664 .122 .446 +3276 -.654 .129 .456 +3277 -.696 .108 .384 +3278 -.701 .118 .389 +3279 -.67 .122 .445 +3280 -.654 .135 .464 +3281 -.675 .118 .438 +3282 -.686 .111 .416 +3283 -.689 .113 .414 +3284 -.677 .12 .442 +3285 -.68 .124 .445 +3286 -.693 .13 .437 +3287 -.673 .114 .434 +3288 -.681 .11 .418 +3289 -.687 .128 .441 +3290 -.699 .123 .418 +3291 -.699 .123 .397 +3292 -.691 .117 .406 +3293 -.699 .13 .43 +3294 -.675 .111 .426 +3295 -.701 .128 .424 +3296 -.694 .117 .414 +3297 -.686 .102 .386 +3298 -.683 .111 .403 +3299 -.682 .105 .395 +3300 -.701 .121 .393 +3301 -.699 .113 .386 +3302 -.695 .122 .402 +3303 -.681 .127 .448 +3304 -.689 .139 .455 +3305 -.675 .146 .468 +3306 -.658 .147 .475 +3307 -.691 .104 .384 +3308 -.687 .113 .407 +3309 -.683 .103 .39 +3310 -.682 .108 .399 +3311 -.416 .493 .095 +3312 -.366 .466 .134 +3313 -.366 .459 .135 +3314 -.351 .438 .117 +3315 -.339 .43 .097 +3316 -.327 .426 .075 +3317 -.399 .484 .117 +3318 -.399 .463 .013 +3319 -.408 .476 .028 +3320 -.417 .485 .049 +3321 -.419 .49 .073 +3322 -.388 .451 .009 +3323 -.375 .447 .003 +3324 -.328 .429 .022 +3325 -.323 .426 .034 +3326 -.32 .424 .051 +3327 -.361 .444 .002 +3328 -.43 .478 .099 +3329 -.395 .459 .132 +3330 -.39 .451 .133 +3331 -.363 .425 .115 +3332 -.35 .416 .097 +3333 -.339 .411 .076 +3334 -.419 .473 .118 +3335 -.418 .447 .019 +3336 -.426 .457 .033 +3337 -.434 .468 .053 +3338 -.434 .475 .076 +3339 -.403 .429 .016 +3340 -.378 .412 .037 +3341 -.347 .414 .022 +3342 -.339 .411 .034 +3343 -.335 .409 .051 +3344 -.38 .417 .011 +3345 -.441 .467 .103 +3346 -.411 .453 .132 +3347 -.403 .442 .133 +3348 -.372 .415 .114 +3349 -.358 .406 .098 +3350 -.348 .401 .077 +3351 -.431 .464 .12 +3352 -.433 .432 .025 +3353 -.44 .444 .038 +3354 -.446 .455 .058 +3355 -.445 .463 .081 +3356 -.424 .422 .017 +3357 -.415 .414 .011 +3358 -.362 .402 .023 +3359 -.353 .4 .035 +3360 -.347 .399 .053 +3361 -.4 .41 .013 +3362 -.45 .458 .108 +3363 -.425 .446 .134 +3364 -.412 .434 .135 +3365 -.381 .406 .116 +3366 -.367 .397 .1 +3367 -.358 .391 .08 +3368 -.44 .456 .124 +3369 -.445 .42 .033 +3370 -.451 .432 .046 +3371 -.456 .445 .064 +3372 -.455 .453 .087 +3373 -.437 .41 .024 +3374 -.427 .401 .016 +3375 -.376 .39 .027 +3376 -.366 .389 .039 +3377 -.359 .389 .056 +3378 -.414 .396 .017 +3379 -.46 .45 .114 +3380 -.435 .44 .138 +3381 -.42 .427 .138 +3382 -.389 .397 .12 +3383 -.377 .385 .104 +3384 -.371 .378 .085 +3385 -.45 .447 .129 +3386 -.459 .407 .044 +3387 -.464 .42 .056 +3388 -.467 .434 .073 +3389 -.465 .444 .093 +3390 -.451 .396 .036 +3391 -.442 .387 .027 +3392 -.394 .374 .039 +3393 -.383 .374 .048 +3394 -.374 .376 .063 +3395 -.429 .382 .029 +3396 -.473 .439 .123 +3397 -.446 .433 .145 +3398 -.428 .423 .146 +3399 -.396 .389 .129 +3400 -.387 .373 .113 +3401 -.385 .362 .095 +3402 -.462 .438 .137 +3403 -.476 .391 .06 +3404 -.482 .405 .071 +3405 -.484 .419 .087 +3406 -.48 .431 .106 +3407 -.468 .379 .053 +3408 -.458 .369 .047 +3409 -.41 .359 .059 +3410 -.399 .359 .066 +3411 -.39 .36 .078 +3412 -.446 .366 .048 +3413 -.49 .423 .137 +3414 -.458 .425 .157 +3415 -.44 .416 .16 +3416 -.406 .377 .148 +3417 -.398 .36 .133 +3418 -.397 .347 .116 +3419 -.476 .425 .15 +3420 -.497 .37 .084 +3421 -.503 .384 .092 +3422 -.504 .399 .107 +3423 -.5 .413 .123 +3424 -.489 .358 .076 +3425 -.477 .35 .073 +3426 -.427 .338 .085 +3427 -.416 .34 .093 +3428 -.406 .342 .103 +3429 -.465 .345 .072 +3430 -.511 .399 .163 +3431 -.478 .402 .181 +3432 -.461 .393 .184 +3433 -.428 .353 .177 +3434 -.422 .337 .166 +3435 -.421 .324 .152 +3436 -.495 .403 .173 +3437 -.522 .345 .114 +3438 -.528 .358 .123 +3439 -.527 .375 .137 +3440 -.521 .388 .151 +3441 -.514 .334 .108 +3442 -.5 .327 .106 +3443 -.45 .314 .12 +3444 -.439 .315 .127 +3445 -.429 .319 .14 +3446 -.487 .321 .106 +3447 -.536 .367 .196 +3448 -.505 .37 .21 +3449 -.489 .361 .212 +3450 -.459 .33 .209 +3451 -.453 .315 .2 +3452 -.454 .304 .188 +3453 -.521 .371 .205 +3454 -.547 .32 .152 +3455 -.552 .333 .162 +3456 -.552 .347 .174 +3457 -.547 .358 .186 +3458 -.54 .308 .144 +3459 -.525 .302 .144 +3460 -.477 .291 .158 +3461 -.467 .293 .166 +3462 -.459 .298 .177 +3463 -.513 .298 .145 +3464 -.561 .336 .234 +3465 -.532 .338 .246 +3466 -.518 .331 .247 +3467 -.491 .306 .243 +3468 -.486 .294 .235 +3469 -.486 .284 .225 +3470 -.548 .338 .241 +3471 -.574 .297 .191 +3472 -.578 .308 .201 +3473 -.577 .32 .212 +3474 -.571 .33 .224 +3475 -.568 .287 .185 +3476 -.558 .279 .183 +3477 -.508 .267 .198 +3478 -.498 .271 .206 +3479 -.49 .276 .216 +3480 -.544 .274 .185 +3481 -.579 .311 .262 +3482 -.554 .313 .273 +3483 -.542 .307 .276 +3484 -.519 .287 .272 +3485 -.515 .276 .266 +3486 -.515 .267 .257 +3487 -.567 .314 .269 +3488 -.595 .281 .228 +3489 -.596 .29 .235 +3490 -.594 .298 .243 +3491 -.588 .305 .253 +3492 -.591 .272 .222 +3493 -.585 .263 .221 +3494 -.536 .248 .232 +3495 -.526 .252 .239 +3496 -.519 .258 .247 +3497 -.573 .255 .221 +3498 -.593 .29 .286 +3499 -.572 .293 .297 +3500 -.562 .29 .302 +3501 -.543 .272 .298 +3502 -.539 .263 .292 +3503 -.539 .253 .284 +3504 -.583 .293 .292 +3505 -.611 .267 .256 +3506 -.61 .274 .263 +3507 -.606 .281 .271 +3508 -.601 .286 .278 +3509 -.609 .259 .251 +3510 -.603 .25 .248 +3511 -.559 .232 .258 +3512 -.549 .237 .266 +3513 -.542 .244 .275 +3514 -.595 .241 .249 +3515 -.603 .275 .305 +3516 -.586 .278 .316 +3517 -.576 .275 .32 +3518 -.562 .261 .317 +3519 -.559 .254 .311 +3520 -.559 .245 .304 +3521 -.595 .277 .311 +3522 -.622 .255 .278 +3523 -.62 .261 .284 +3524 -.616 .267 .291 +3525 -.61 .271 .298 +3526 -.621 .248 .273 +3527 -.616 .239 .27 +3528 -.574 .22 .279 +3529 -.566 .226 .287 +3530 -.561 .235 .296 +3531 -.609 .231 .269 +3532 -.613 .263 .32 +3533 -.597 .267 .331 +3534 -.59 .265 .335 +3535 -.575 .252 .329 +3536 -.572 .245 .324 +3537 -.571 .237 .319 +3538 -.605 .266 .326 +3539 -.63 .243 .295 +3540 -.628 .249 .3 +3541 -.624 .254 .307 +3542 -.618 .259 .314 +3543 -.629 .236 .29 +3544 -.626 .229 .286 +3545 -.584 .212 .294 +3546 -.576 .219 .302 +3547 -.572 .228 .311 +3548 -.621 .221 .285 +3549 -.628 .247 .342 +3550 -.612 .253 .353 +3551 -.602 .253 .356 +3552 -.587 .24 .348 +3553 -.583 .234 .342 +3554 -.582 .228 .335 +3555 -.621 .251 .348 +3556 -.642 .224 .318 +3557 -.64 .23 .323 +3558 -.637 .236 .33 +3559 -.633 .242 .336 +3560 -.642 .217 .313 +3561 -.639 .211 .307 +3562 -.594 .204 .309 +3563 -.586 .212 .318 +3564 -.582 .221 .328 +3565 -.635 .206 .302 +3566 -.624 .241 .376 +3567 -.597 .244 .38 +3568 -.575 .217 .38 +3569 -.611 .244 .38 +3570 -.651 .221 .351 +3571 -.647 .227 .357 +3572 -.641 .232 .363 +3573 -.634 .237 .37 +3574 -.654 .214 .345 +3575 -.656 .202 .332 +3576 -.666 .157 .458 +3577 -.662 .161 .465 +3578 -.688 .156 .411 +3579 -.693 .135 .398 +3580 -.689 .145 .391 +3581 -.689 .144 .381 +3582 -.655 .207 .339 +3583 -.574 .176 .455 +3584 -.555 .183 .456 +3585 -.556 .196 .464 +3586 -.554 .189 .459 +3587 -.589 .19 .471 +3588 -.576 .198 .47 +3589 -.564 .2 .468 +3590 -.587 .183 .465 +3591 -.562 .178 .453 +3592 -.583 .179 .461 +3593 -.577 .178 .451 +3594 -.557 .185 .45 +3595 -.559 .198 .458 +3596 -.557 .192 .454 +3597 -.591 .192 .465 +3598 -.579 .2 .466 +3599 -.567 .203 .462 +3600 -.59 .185 .459 +3601 -.563 .181 .449 +3602 -.585 .181 .457 +3603 -.578 .179 .448 +3604 -.559 .188 .446 +3605 -.56 .2 .451 +3606 -.558 .194 .448 +3607 -.592 .192 .459 +3608 -.581 .203 .46 +3609 -.568 .206 .455 +3610 -.591 .187 .455 +3611 -.564 .182 .445 +3612 -.587 .182 .452 +3613 -.579 .18 .445 +3614 -.56 .189 .442 +3615 -.562 .203 .445 +3616 -.56 .196 .443 +3617 -.595 .193 .455 +3618 -.584 .206 .454 +3619 -.57 .21 .449 +3620 -.594 .188 .451 +3621 -.566 .183 .442 +3622 -.588 .183 .449 +3623 -.581 .181 .441 +3624 -.563 .19 .436 +3625 -.563 .207 .438 +3626 -.561 .198 .436 +3627 -.598 .196 .451 +3628 -.587 .209 .449 +3629 -.573 .215 .443 +3630 -.597 .188 .447 +3631 -.567 .184 .439 +3632 -.59 .184 .444 +3633 -.587 .183 .436 +3634 -.567 .19 .427 +3635 -.565 .213 .429 +3636 -.564 .201 .426 +3637 -.605 .199 .447 +3638 -.59 .213 .444 +3639 -.573 .219 .434 +3640 -.603 .189 .446 +3641 -.576 .183 .43 +3642 -.596 .184 .441 +3643 -.578 .199 .382 +3644 -.582 .189 .388 +3645 -.596 .179 .399 +3646 -.615 .171 .414 +3647 -.603 .178 .389 +3648 -.623 .17 .405 +3649 -.611 .177 .38 +3650 -.631 .168 .397 +3651 -.591 .205 .351 +3652 -.619 .174 .372 +3653 -.636 .162 .388 +3654 -.597 .198 .341 +3655 -.624 .164 .364 +3656 -.639 .153 .378 +3657 -.604 .189 .332 +3658 -.633 .151 .355 +3659 -.644 .141 .367 +3660 -.615 .176 .325 +3661 -.667 .116 .379 +3662 -.672 .183 .365 +3663 -.666 .196 .377 +3664 -.664 .15 .343 +3665 -.674 .166 .352 +3666 -.649 .213 .398 +3667 -.657 .208 .391 +3668 -.67 .191 .371 +3669 -.605 .182 .339 +3670 -.648 .138 .348 +3671 -.662 .202 .384 +3672 -.625 .227 .412 +3673 -.673 .175 .36 +3674 -.576 .226 .424 +3675 -.639 .22 .405 +3676 -.656 .142 .344 +3677 -.664 .121 .37 +3678 -.599 .24 .396 +3679 -.585 .208 .361 +3680 -.614 .19 .315 +3681 -.602 .197 .322 +3682 -.633 .184 .312 +3683 -.594 .204 .332 +3684 -.588 .218 .351 +3685 -.59 .212 .342 +3686 -.589 .236 .376 +3687 -.101 .834 .031 +3688 -.116 .798 .048 +3689 -.113 .766 .087 +3690 -.112 .726 .12 +3691 -.104 .732 .115 +3692 -.061 .771 .055 +3693 -.031 .793 -.021 +3694 -.018 .828 -.069 +3695 -.01 .841 -.079 +3696 .005 .848 -.064 +3697 .008 .849 -.032 +3698 0 .849 .005 +3699 .007 .889 .029 +3700 -.002 .882 .031 +3701 0 .883 .037 +3702 .011 .883 .043 +3703 .011 .881 .044 +3704 .01 .881 .042 +3705 .009 .882 .039 +3706 .009 .883 .038 +3707 .008 .885 .036 +3708 .007 .884 .033 +3709 .004 .879 .037 +3710 -.023 .886 .037 +3711 -.023 .881 .038 +3712 -.024 .878 .039 +3713 -.027 .877 .037 +3714 -.036 .89 .026 +3715 -.049 .919 .015 +3716 -.025 .927 -.002 +3717 -.024 .952 -.016 +3718 -.02 .991 -.029 +3719 -.014 .996 -.032 +3720 -.015 .999 -.027 +3721 -.024 .992 -.013 +3722 -.024 .975 .008 +3723 -.015 .974 .027 +3724 -.033 .98 .034 +3725 -.025 .945 .041 +3726 -.032 .932 .043 +3727 -.027 .919 .039 +3728 -.022 .91 .036 +3729 -.019 .902 .034 +3730 .009 .888 .032 +3731 .011 .889 .03 +3732 .012 .888 .032 +3733 .012 .889 .033 +3734 .013 .89 .034 +3735 .012 .89 .036 +3736 .014 .89 .038 +3737 .014 .886 .041 +3738 .019 .881 .043 +3739 .016 .884 .044 +3740 .008 .934 .045 +3741 -.003 .938 .04 +3742 -.012 .942 .04 +3743 -.014 .943 .058 +3744 -.007 .947 .069 +3745 -.004 .95 .07 +3746 -.015 .95 .071 +3747 -.013 .946 .053 +3748 -.016 .95 .034 +3749 -.019 .958 .016 +3750 0 .962 .014 +3751 -.078 .797 -.028 +3752 -.083 .71 -.034 +3753 -.009 .697 -.081 +3754 -.001 .638 -.034 +3755 -.043 .619 .058 +3756 -.1 .579 .171 +3757 -.151 .502 .193 +3758 -.187 .439 .204 +3759 -.223 .384 .173 +3760 -.267 .34 .148 +3761 -.272 .333 .117 +3762 -.243 .384 .092 +3763 -.195 .466 .103 +3764 -.23 .489 .125 +3765 -.276 .48 .124 +3766 -.333 .466 .125 +3767 -.363 .451 .129 +3768 -.551 .282 .301 +3769 -.568 .269 .32 +3770 -.581 .259 .334 +3771 -.593 .247 .353 +3772 -.585 .225 .364 +3773 -.53 .299 .276 +3774 -.179 .756 -.189 +3775 -.157 .782 -.234 +3776 -.122 .786 -.232 +3777 -.113 .809 -.288 +3778 -.087 .823 -.181 +3779 -.062 .825 -.101 +3780 0 .823 -.1 +3781 -.185 .716 -.137 +3782 -.146 .656 -.037 +3783 -.169 .626 -.055 +3784 -.198 .574 -.081 +3785 -.238 .568 -.052 +3786 -.169 .672 -.068 +3787 -.191 .752 -.158 +3788 -.277 .547 -.045 +3789 -.3 .513 -.004 +3790 -.328 .487 .006 +3791 -.328 .461 .005 +3792 -.346 .439 .008 +3793 -.366 .422 .009 +3794 -.383 .408 .014 +3795 -.399 .394 .019 +3796 -.416 .379 .03 +3797 -.433 .363 .049 +3798 -.453 .341 .074 +3799 -.475 .316 .108 +3800 -.501 .292 .148 +3801 -.531 .267 .188 +3802 -.561 .249 .223 +3803 -.583 .235 .25 +3804 -.598 .223 .271 +3805 -.61 .214 .286 +3806 -.622 .2 .301 +3807 -.653 .192 .324 +3808 -.641 .143 .442 +3809 -.662 .123 .409 +3810 -.657 .126 .416 +3811 -.632 .156 .462 +3812 -.646 .137 .433 +3813 -.651 .133 .426 +3814 -.672 .114 .392 +3815 -.677 .111 .385 +3816 -.629 .173 .474 +3817 -.636 .15 .453 +3818 -.668 .119 .401 +3819 -.611 .187 .45 +3820 -.622 .195 .454 +3821 -.617 .182 .458 +3822 -.612 .177 .443 +3823 -.62 .218 .431 +3824 -.634 .199 .452 +3825 -.605 .234 .413 +3826 -.585 .235 .393 +3827 -.618 .168 .332 +3828 -.622 .16 .343 +3829 -.611 .173 .349 +3830 -.598 .193 .348 +3831 -.604 .184 .357 +3832 -.592 .197 .357 +3833 -.597 .188 .366 +3834 -.585 .199 .367 +3835 -.589 .19 .376 +3836 -.623 .176 .465 +3837 -.183 .771 -.21 +3838 -.167 .802 -.287 +3839 -.142 .796 -.322 +3840 -.12 .8 -.291 +3841 -.096 .804 -.206 +3842 -.066 .799 -.138 +3843 0 .8 -.126 +3844 -.192 .698 -.11 +3845 -.144 .65 -.038 +3846 -.155 .624 -.066 +3847 -.191 .539 -.06 +3848 -.238 .509 -.055 +3849 -.181 .663 -.059 +3850 -.266 .491 -.049 +3851 -.281 .499 0 +3852 -.306 .48 .012 +3853 -.318 .457 .014 +3854 -.664 .171 .332 +3855 -.335 .434 .015 +3856 -.355 .418 .014 +3857 -.372 .405 .016 +3858 -.387 .391 .022 +3859 -.405 .375 .034 +3860 -.422 .36 .053 +3861 -.439 .339 .079 +3862 -.462 .315 .113 +3863 -.488 .29 .151 +3864 -.52 .265 .193 +3865 -.548 .246 .227 +3866 -.57 .231 .253 +3867 -.584 .218 .274 +3868 -.595 .21 .288 +3869 -.606 .199 .303 +3870 -.671 .16 .346 +3871 -.219 .737 -.164 +3872 -.649 .186 .316 +3873 -.678 .15 .357 +3874 -.475 .349 .212 +3875 -.505 .323 .246 +3876 -.444 .375 .182 +3877 -.421 .398 .156 +3878 -.411 .407 .14 +3879 -.404 .413 .131 +3880 -.396 .419 .127 +3881 -.388 .427 .127 +3882 -.378 .438 .128 +3883 -.626 .25 .326 +3884 -.621 .254 .332 +3885 -.636 .226 .303 +3886 -.636 .232 .307 +3887 -.579 .239 .334 +3888 -.582 .245 .339 +3889 -.633 .219 .298 +3890 -.63 .214 .294 +3891 -.578 .232 .329 +3892 -.589 .207 .303 +3893 -.614 .257 .338 +3894 -.606 .258 .342 +3895 -.582 .214 .312 +3896 -.631 .244 .319 +3897 -.597 .256 .346 +3898 -.578 .224 .321 +3899 -.634 .238 .313 +3900 -.589 .252 .344 +3901 -.617 .207 .294 +3902 -.601 .203 .296 +3903 -.627 .191 .306 +3904 -.642 .196 .309 +3905 -.646 .201 .316 +3906 -.648 .209 .323 +3907 -.648 .216 .328 +3908 -.646 .223 .334 +3909 -.643 .229 .34 +3910 -.64 .235 .346 +3911 -.635 .24 .352 +3912 -.627 .245 .358 +3913 -.618 .248 .364 +3914 -.607 .248 .367 +3915 -.61 .195 .308 +3916 -.598 .201 .316 +3917 -.591 .209 .325 +3918 -.586 .217 .335 +3919 -.586 .224 .342 +3920 -.587 .229 .352 +3921 -.591 .237 .36 +3922 -.597 .244 .365 +3923 -.275 .484 -.053 +3924 -.201 .411 -.006 +3925 -.237 .48 -.044 +3926 -.165 .726 -.389 +3927 -.165 .784 -.447 +3928 -.143 .807 -.42 +3929 -.113 .836 -.358 +3930 -.086 .813 -.299 +3931 -.053 .781 -.291 +3932 0 .786 -.275 +3933 -.171 .504 -.236 +3934 -.175 .417 -.13 +3935 -.195 .382 -.024 +3936 -.183 .622 -.352 +3937 -.234 .486 -.074 +3938 -.202 .43 -.057 +3939 -.211 .473 -.064 +3940 -.158 .708 -.452 +3941 -.141 .777 -.452 +3942 -.127 .81 -.416 +3943 -.109 .816 -.364 +3944 -.074 .798 -.335 +3945 -.065 .75 -.329 +3946 0 .748 -.322 +3947 -.176 .531 -.287 +3948 -.205 .449 -.183 +3949 -.219 .401 -.1 +3950 -.183 .628 -.413 +3951 -.222 .494 -.086 +3952 -.215 .466 -.118 +3953 -.197 .492 -.092 +3954 -.125 .683 -.471 +3955 -.126 .75 -.466 +3956 -.112 .788 -.438 +3957 -.088 .799 -.399 +3958 -.067 .766 -.374 +3959 -.058 .736 -.355 +3960 0 .757 -.374 +3961 -.198 .529 -.328 +3962 -.219 .458 -.235 +3963 -.238 .427 -.173 +3964 -.187 .593 -.415 +3965 -.22 .477 -.098 +3966 -.236 .463 -.191 +3967 -.221 .47 -.127 +3968 -.172 .668 -.449 +3969 -.12 .73 -.485 +3970 -.119 .749 -.469 +3971 -.088 .753 -.444 +3972 -.079 .744 -.427 +3973 -.071 .724 -.385 +3974 0 .71 -.386 +3975 -.223 .536 -.381 +3976 -.246 .48 -.339 +3977 -.258 .46 -.257 +3978 -.219 .576 -.415 +3979 -.204 .491 -.114 +3980 -.253 .486 -.236 +3981 -.211 .487 -.155 +3982 -.208 .639 -.423 +3983 -.183 .677 -.455 +3984 -.123 .697 -.468 +3985 -.1 .686 -.454 +3986 -.084 .694 -.425 +3987 -.065 .698 -.417 +3988 0 .695 -.414 +3989 -.254 .551 -.417 +3990 -.256 .498 -.362 +3991 -.27 .477 -.303 +3992 -.239 .59 -.407 +3993 -.178 .528 -.113 +3994 -.22 .505 -.209 +3995 -.196 .516 -.154 +3996 -.238 .628 -.414 +3997 -.199 .649 -.424 +3998 -.136 .643 -.421 +3999 -.116 .645 -.421 +4000 -.098 .647 -.426 +4001 -.071 .659 -.427 +4002 0 .667 -.45 +4003 -.269 .559 -.407 +4004 -.246 .521 -.346 +4005 -.261 .507 -.293 +4006 -.27 .6 -.422 +4007 -.137 .559 -.075 +4008 -.184 .543 -.146 +4009 -.168 .546 -.109 +4010 -.251 .643 -.386 +4011 -.214 .648 -.385 +4012 -.151 .652 -.398 +4013 -.124 .656 -.4 +4014 -.1 .644 -.402 +4015 -.055 .662 -.399 +4016 0 .671 -.416 +4017 -.275 .587 -.371 +4018 -.251 .56 -.305 +4019 -.228 .553 -.228 +4020 -.277 .62 -.394 +4021 -.107 .568 -.029 +4022 -.167 .559 -.086 +4023 -.132 .549 -.055 +4024 -.241 .659 -.351 +4025 -.222 .658 -.34 +4026 -.176 .673 -.353 +4027 -.134 .681 -.36 +4028 -.09 .677 -.366 +4029 -.048 .694 -.366 +4030 0 .695 -.367 +4031 -.252 .601 -.3 +4032 -.216 .576 -.228 +4033 -.185 .564 -.147 +4034 -.26 .629 -.34 +4035 -.065 .591 .006 +4036 -.094 .518 -.042 +4037 -.077 .549 -.003 +4038 -.073 .753 -.067 +4039 -.206 .637 -.294 +4040 -.208 .652 -.304 +4041 -.187 .683 -.316 +4042 -.142 .706 -.323 +4043 -.094 .706 -.311 +4044 -.054 .727 -.301 +4045 0 .736 -.303 +4046 -.051 .738 -.095 +4047 -.113 .533 -.13 +4048 -.105 .514 -.082 +4049 -.162 .589 -.216 +4050 -.04 .599 .002 +4051 -.067 .499 -.065 +4052 -.038 .544 -.003 +4053 -.077 .748 -.077 +4054 -.142 .598 -.193 +4055 -.163 .628 -.2 +4056 -.171 .669 -.215 +4057 -.15 .72 -.239 +4058 -.097 .74 -.226 +4059 -.062 .749 -.213 +4060 0 .763 -.229 +4061 -.09 .51 -.124 +4062 -.067 .495 -.085 +4063 -.116 .569 -.176 +4064 -.275 .553 -.031 +4065 -.269 .563 -.056 +4066 -.241 .582 -.062 +4067 -.205 .572 -.069 +4068 -.216 .566 -.068 +4069 0 .712 -.097 +4070 0 .806 -.193 +4071 0 .762 -.137 +4072 -.127 .79 -.075 +4073 -.14 .761 -.026 +4074 -.026 .692 -.024 +4075 -.065 .766 -.138 +4076 -.045 .839 -.203 +4077 -.081 .778 -.115 +4078 -.109 .788 -.065 +4079 -.119 .748 -.014 +4080 -.068 .717 -.013 +4081 -.073 .777 -.078 +4082 -.019 .879 -.178 +4083 -.08 .798 -.123 +4084 -.063 .836 -.084 +4085 -.077 .797 -.005 +4086 -.106 .722 -.009 +4087 -.074 .8 -.165 +4088 0 .894 -.176 +4089 -.056 .798 -.173 +4090 -.055 .792 -.041 +4091 -.05 .784 -.026 +4092 -.153 .677 -.001 +4093 0 .782 -.161 +4094 -.131 .797 -.135 +4095 -.075 .83 -.185 +4096 -.043 .742 -.059 +4097 -.013 .725 -.05 +4098 -.186 .672 -.043 +4099 -.1 .811 -.167 +4100 -.067 .849 -.156 +4101 -.171 .589 -.056 +4102 -.11 .629 -.043 +4103 -.063 .62 -.028 +4104 -.031 .629 -.02 +4105 -.135 .562 -.184 +4106 0 .676 -.065 +4107 -.049 .686 -.072 +4108 -.047 .662 -.037 +4109 -.05 .624 -.074 +4110 0 .644 -.065 +4111 0 .651 -.052 +4112 -.015 .654 -.048 +4113 -.019 .677 -.042 +4114 -.018 .685 -.052 +4115 0 .71 -.071 +4116 0 .664 -.077 +4117 -.014 .674 -.078 +4118 -.011 .686 -.063 +4119 -.018 .688 -.053 +4120 0 .715 -.058 +4121 0 .686 -.029 +4122 -.050 .706 -.071 +4123 -.06 .686 -.073 +4124 -.004 .688 -.028 +4125 -.028 .714 -.072 +4126 -.007 .71 -.053 +4127 -.006 .641 -.027 +4128 .018 .598 0 +4129 -.003 .491 -.062 +4130 .024 .537 -.013 +4131 -.016 .494 -.063 +4132 -.008 .481 -.057 +4133 -.047 .678 -.023 +4134 -.048 .675 -.029 +4135 .02 .685 -.027 +4136 -.020 .692 -.045 +4137 0 .705 -.049 +4138 .039 .65 -.022 +4139 -.143 .54 -.094 +4140 -.159 .562 -.161 +4141 -.084 .581 -.007 +4142 -.099 .554 -.02 +4143 -.125 .537 -.054 +4144 -.2 .612 -.264 +4145 -.149 .715 -.282 +4146 -.087 .724 -.276 +4147 -.057 .736 -.253 +4148 0 .756 -.266 +4149 -.179 .612 -.244 +4150 -.19 .636 -.262 +4151 -.054 .777 -.107 +4152 -.187 .669 -.262 +4153 -.045 .625 -.025 +4154 0 .754 -.109 +4155 -.068 .776 -.061 +4156 -.086 .779 -.085 +4157 -.054 .769 -.045 +4158 -.034 .749 -.044 +4159 -.043 .699 -.023 +4160 -.186 .588 -.222 +4161 .056 .664 -.011 +4162 -.041 .652 -.030 +4163 -.041 .653 .011 +4164 .049 .48 -.016 +4165 .066 .492 -.016 +4166 .089 .536 -.023 +4167 .075 .486 -.036 +4168 .068 .589 -.006 +4169 .082 .636 -.017 +4170 .016 .69 -.010 +4171 -.011 .671 .003 +4172 -.091 .543 -.168 +4173 -.028 .527 -.105 +4174 .056 .529 -.032 +4175 -.097 .592 -.133 +4176 -.126 .623 -.122 +4177 -.152 .665 -.153 +4178 -.135 .716 -.174 +4179 -.097 .756 -.17 +4180 -.059 .767 -.166 +4181 0 .784 -.166 +4182 -.029 .61 -.037 +4183 -.075 .645 -.038 +4184 -.114 .688 -.066 +4185 -.117 .739 -.096 +4186 -.094 .787 -.11 +4187 -.055 .79 -.11 +4188 0 .829 -.071 +4189 .027 .632 .038 +4190 -.031 .67 .026 +4191 -.078 .711 .005 +4192 -.09 .752 -.02 +4193 -.076 .805 -.027 +4194 -.04 .829 -.014 +4195 0 .838 .007 +4196 -.056 .557 -.119 +4197 .021 .573 -.038 +4198 .149 .565 .01 +4199 .088 .557 .045 +4200 .024 .556 .024 +4201 -.013 .567 -.014 +4202 -.025 .574 -.076 +4203 -.018 .593 -.099 +4204 .01 .61 -.066 +4205 0 .619 -.038 +4206 .101 .591 .012 +4207 .179 .583 .047 +4208 .135 .559 .026 +4209 .113 .508 .042 +4210 .073 .488 .02 +4211 .009 .482 -.028 +4212 0 .471 -.109 +4213 .004 .491 -.11 +4214 .048 .5 -.051 +4215 0 .518 0 +4216 .14 .565 .002 +4217 .087 .42 .034 +4218 .08 .408 .039 +4219 .027 .423 -.005 +4220 .028 .436 -.01 +4221 .027 .463 -.019 +4222 .045 .485 0 +4223 0 .538 .114 +4224 .145 .529 .041 +4225 .099 .538 -.01 +4226 .044 .37 .028 +4227 .043 .352 .053 +4228 .038 .37 .036 +4229 .039 .406 .043 +4230 .03 .431 .023 +4231 .033 .445 .021 +4232 0 .513 .141 +4233 .084 .47 0 +4234 .077 .537 .004 +4235 .036 .397 .07 +4236 .045 .371 .094 +4237 .047 .407 .106 +4238 .023 .465 .11 +4239 .016 .501 .054 +4240 .012 .542 .044 +4241 0 .6 .065 +4242 .054 .459 .029 +4243 .063 .557 .005 +4244 .037 .46 .106 +4245 .058 .48 .132 +4246 .071 .54 .176 +4247 .021 .609 .117 +4248 -.003 .631 .056 +4249 -.004 .666 -.005 +4250 0 .717 -.035 +4251 .04 .481 .04 +4252 .07 .588 -.009 +4253 .049 .591 .098 +4254 .068 .684 .096 +4255 .077 .695 .114 +4256 .022 .735 .105 +4257 .003 .754 -.032 +4258 -.019 .785 -.122 +4259 0 .804 -.155 +4260 .041 .521 .04 +4261 .11 .617 -.043 +4262 .089 .665 .066 +4263 .112 .702 .085 +4264 .048 .834 -.044 +4265 .032 .812 -.11 +4266 .004 .822 -.148 +4267 0 .804 -.154 +4268 .076 .579 -.005 +4269 .121 .525 -.016 +4270 .125 .556 -.016 +4271 .175 .521 -.024 +4272 .16 .502 -.019 +4273 .202 .553 -.022 +4274 .183 .59 -.005 +4275 .167 .534 -.003 +4276 .166 .551 -.016 +4277 .163 .522 -.015 +4278 .184 .524 -.003 +4279 .173 .516 -.029 +4280 .133 .537 0 +4281 .179 .58 -.024 +4282 .134 .549 -.038 +4283 .113 .533 .014 +4284 .167 .563 .001 +4285 .124 .53 .008 +4286 .099 .544 .013 +4287 .161 .614 -.046 +4288 .11 .556 -.079 +4289 .102 .602 .023 +4290 .147 .618 -.001 +4291 .084 .589 .005 +4292 .073 .598 -.007 +4293 .129 .65 -.056 +4294 .095 .578 -.07 +4295 .08 .673 -.004 +4296 .119 .676 -.018 +4297 .081 .658 -.029 +4298 .064 .671 -.052 +4299 .097 .687 -.067 +4300 .085 .611 -.069 +4301 .058 .708 -.034 +4302 .078 .715 -.034 +4303 .07 .691 -.067 +4304 .048 .697 -.08 +4305 .083 .705 -.092 +4306 .099 .641 -.075 +4307 .055 .721 -.069 +4308 .061 .731 -.067 +4309 .059 .706 -.095 +4310 .042 .7 -.09 +4311 .075 .711 -.117 +4312 .121 .655 -.091 +4313 .059 .738 -.098 +4314 .053 .739 -.097 +4315 -.008 .648 .076 +4316 -.027 .642 .066 +4317 0 .66 -.068 +4318 .12 .63 .029 +4319 -.028 .648 -.059 +4320 -.007 .646 -.025 +4321 .077 .664 .013 +4322 .026 .664 .004 +4323 0 .731 -.038 +4324 .094 .575 .034 +4325 -.033 .682 -.041 +4326 -.014 .664 -.012 +4327 .053 .646 .033 +4328 .021 .667 .009 +4329 0 .803 .008 +4330 .08 .593 .033 +4331 -.055 .724 0 +4332 -.031 .697 -.013 +4333 .067 .662 .031 +4334 .017 .689 .014 +4335 0 .815 .053 +4336 .046 .624 .01 +4337 -.071 .769 .026 +4338 -.042 .747 .007 +4339 .032 .671 .020 +4340 -.009 .706 -.024 +4341 0 .805 .069 +4342 .029 .679 -.036 +4343 -.082 .745 .004 +4344 -.078 .738 .006 +4345 .007 .695 .011 +4346 -.034 .704 .015 +4347 0 .733 -.008 +4348 .015 .687 -.055 +4349 -.056 .687 -.059 +4350 -.114 .662 -.029 +4351 -.017 .687 .001 +4352 -.057 .681 .033 +4353 .016 .681 -.05 +4354 -.078 .638 -.013 +4355 -.028 .672 .002 +4356 -.052 .66 .048 +4357 -.019 .66 -.092 +4358 -.031 .712 -.032 +4359 -.044 .778 .013 +4360 -.048 .792 .063 +4361 -.041 .784 .055 +4362 -.029 .72 -.026 +4363 .023 .665 .022 +4364 .004 .665 .025 +4365 -.031 .649 -.044 +4366 -.04 .664 -.075 +4367 0 .648 -.079 +4368 .056 .653 .038 +4369 -.021 .649 .001 +4370 0 .71 -.082 +4371 -.012 .71 -.069 +4372 0 .693 -.103 +4373 .025 .698 -.084 +4374 0 .707 -.125 +4375 .064 .724 -.129 +4376 0 .822 -.144 +4377 .007 .829 -.16 +4378 -.008 .685 -.059 +4379 .035 .681 -.062 +4380 .109 .711 -.125 +4381 .039 .776 -.161 +4382 -.025 .662 -.008 +4383 .059 .683 -.028 +4384 .123 .707 -.097 +4385 .083 .81 -.127 +4386 -.02 .733 -.023 +4387 0 .735 -.014 +4388 .052 .6 .052 +4389 -.007 .628 .044 +4390 -.052 .657 .004 +4391 .069 .604 .015 +4392 -.061 .677 -.016 +4393 -.047 .711 -.023 +4394 .105 .555 .016 +4395 .135 .504 -.019 +4396 .083 .495 .009 +4397 .104 .636 .012 +4398 .148 .585 -.003 +4399 .164 .543 -.012 +4400 .095 .52 0 +4401 .13 .647 -.066 +4402 .105 .639 -.052 +4403 .068 .698 -.122 +4404 .124 .656 -.087 +4405 .057 .733 -.1 +4406 .045 .725 -.104 +4407 -.025 .669 .009 +4408 -.044 .601 -.005 +4409 .017 .691 -.039 +4410 .038 .717 -.091 +4411 -.008 .677 .002 +4412 .069 .712 -.019 +4413 .138 .726 -.071 +4414 .122 .779 -.11 +4415 -.009 .678 .018 +4416 -.011 .617 .02 +4417 .033 .7 -.037 +4418 .037 .724 -.086 +4419 .01 .658 0 +4420 .073 .7 -.015 +4421 .144 .737 -.062 +4422 .146 .769 -.075 +4423 .04 .656 .007 +4424 .1 .688 -.012 +4425 .156 .737 -.043 +4426 .162 .751 -.041 +4427 .089 .826 -.039 +4428 .056 .719 -.109 +4429 .048 .721 -.105 +4430 .117 .779 -.006 +4431 .14 .752 .032 +4432 .118 .675 .066 +4433 .14 .706 .072 +4434 .008 .677 .101 +4435 .14 .64 -.06 +4436 .122 .647 -.045 +4437 .055 .669 -.116 +4438 .118 .634 -.075 +4439 .042 .708 -.083 +4440 .027 .697 -.088 +4441 0 .697 .039 +4442 .035 .667 .046 +4443 .036 .709 -.028 +4444 .036 .719 -.08 +4445 .082 .696 .025 +4446 .142 .7 -.002 +4447 .188 .731 -.013 +4448 .191 .736 -.01 +4449 .041 .708 -.097 +4450 .158 .732 .061 +4451 .116 .679 .065 +4452 .145 .712 .066 +4453 .044 .736 .137 +4454 .13 .621 -.033 +4455 .117 .639 -.011 +4456 .046 .657 -.093 +4457 .106 .622 -.052 +4458 .033 .707 -.046 +4459 .015 .693 -.054 +4460 .014 .746 .061 +4461 .074 .745 .077 +4462 .033 .75 -.015 +4463 .047 .743 -.069 +4464 .128 .774 .053 +4465 .179 .766 .031 +4466 .222 .743 .037 +4467 .22 .735 .035 +4468 .047 .721 -.071 +4469 .162 .725 .085 +4470 .072 .71 .063 +4471 .13 .77 .068 +4472 .081 .844 .156 +4473 .086 .668 -.004 +4474 .072 .682 .012 +4475 .011 .732 -.066 +4476 .062 .686 -.027 +4477 .017 .793 -.007 +4478 -.012 .771 -.016 +4479 .026 .861 .085 +4480 .117 .855 .101 +4481 .023 .86 -.004 +4482 .04 .845 -.05 +4483 .16 .871 .089 +4484 .208 .861 .078 +4485 .243 .845 .095 +4486 .249 .835 .09 +4487 .041 .818 -.037 +4488 .174 .822 .098 +4489 .022 .88 -.018 +4490 .122 .951 .006 +4491 .058 1.011 .147 +4492 -.009 .843 .017 +4493 -.027 .845 .002 +4494 -.021 .876 -.033 +4495 -.008 .84 .013 +4496 -.044 .918 .002 +4497 -.053 .898 -.007 +4498 .007 .99 .09 +4499 .109 1.023 .131 +4500 -.012 1.006 0 +4501 -.014 .972 -.042 +4502 .198 1.034 .145 +4503 .267 1.022 .119 +4504 .288 1.001 .12 +4505 .274 1.005 .11 +4506 -.011 .934 -.031 +4507 .238 .985 .072 +4508 .023 .97 -.1 +4509 .114 1.043 -.058 +4510 .041 1.056 .158 +4511 -.034 .947 -.013 +4512 -.047 .958 -.047 +4513 -.009 .946 -.022 +4514 -.034 .933 0 +4515 -.086 .951 -.023 +4516 -.052 .94 -.033 +4517 -.017 1.042 .097 +4518 .074 1.085 .162 +4519 -.053 1.052 .021 +4520 -.092 1.01 -.005 +4521 .162 1.097 .155 +4522 .243 1.073 .092 +4523 .247 1.049 .088 +4524 .232 1.065 .082 +4525 -.066 .97 -.019 +4526 .246 1.051 .063 +4527 .016 1.043 -.05 +4528 .062 1.075 -.035 +4529 -.005 1.133 .161 +4530 -.016 1.037 .006 +4531 -.021 1.036 -.013 +4532 -.048 .995 -.02 +4533 -.031 1.019 .015 +4534 -.051 .992 -.093 +4535 -.045 .984 -.055 +4536 -.053 1.116 .098 +4537 .048 1.162 .191 +4538 -.1 1.071 .048 +4539 -.096 1.025 -.011 +4540 .132 1.154 .154 +4541 .229 1.123 .071 +4542 .227 1.067 .041 +4543 .225 1.089 .039 +4544 -.087 .999 -.072 +4545 .257 1.096 .022 +4546 0 1.002 -.005 +4547 .053 1.043 -.002 +4548 -.072 1.075 .174 +4549 0 .975 .046 +4550 -.029 .992 .021 +4551 -.04 .945 -.026 +4552 -.016 .974 .017 +4553 -.049 .94 -.096 +4554 -.046 .943 -.056 +4555 -.094 1.038 .056 +4556 .009 1.096 .182 +4557 -.108 .999 0 +4558 -.081 .96 -.047 +4559 .092 1.116 .123 +4560 .154 1.08 .071 +4561 .215 .983 .034 +4562 .232 1.015 .034 +4563 -.058 .946 -.107 +4564 .222 1.046 .025 +4565 .005 .969 .017 +4566 .067 1.011 .021 +4567 -.115 .984 .102 +4568 -.012 .894 .067 +4569 -.039 .945 .037 +4570 -.037 .856 -.005 +4571 -.013 .88 .056 +4572 -.045 .85 -.092 +4573 -.052 .849 -.053 +4574 -.121 .935 .002 +4575 -.054 1.017 .164 +4576 -.1 .891 -.044 +4577 -.069 .871 -.051 +4578 .023 1.022 .152 +4579 .081 .986 .088 +4580 .193 .889 .064 +4581 .242 .924 .044 +4582 -.033 .859 -.091 +4583 .249 .982 .046 +4584 .007 .931 .032 +4585 .059 .966 .024 +4586 -.158 .923 .083 +4587 -.078 .833 .103 +4588 -.046 .885 .068 +4589 -.036 .742 .04 +4590 -.04 .768 .087 +4591 .01 .765 -.057 +4592 -.042 .753 0 +4593 -.117 .845 .024 +4594 -.098 .947 .141 +4595 -.07 .792 -.048 +4596 -.016 .768 -.07 +4597 -.028 .941 .134 +4598 .021 .889 .05 +4599 .158 .818 .082 +4600 .218 .856 .057 +4601 .017 .752 -.079 +4602 .222 .92 .057 +4603 -.021 .862 .056 +4604 .027 .892 .023 +4605 -.148 .82 .059 +4606 -.103 .753 .094 +4607 -.062 .82 .072 +4608 -.04 .642 .09 +4609 -.072 .67 .102 +4610 .048 .669 0 +4611 -.022 .668 .03 +4612 -.087 .75 -.01 +4613 -.142 .86 .114 +4614 -.036 .695 -.068 +4615 .018 .673 -.034 +4616 -.08 .874 .177 +4617 -.021 .812 .099 +4618 .122 .758 .089 +4619 .16 .797 .054 +4620 .035 .689 -.032 +4621 .107 .824 .062 +4622 -.016 .804 .048 +4623 .016 .785 .051 +4624 -.12 .725 -.002 +4625 -.107 .689 .068 +4626 -.053 .758 .054 +4627 -.034 .581 .077 +4628 -.079 .606 .072 +4629 .031 .614 .014 +4630 0 .603 .052 +4631 -.062 .675 -.053 +4632 -.117 .763 .033 +4633 -.018 .606 -.069 +4634 .004 .589 -.049 +4635 -.085 .783 .076 +4636 -.04 .756 .089 +4637 .111 .709 .08 +4638 .127 .755 .078 +4639 .017 .607 -.007 +4640 .053 .779 .055 +4641 -.023 .795 -.002 +4642 .008 .742 0 +4643 -.102 .623 -.064 +4644 -.078 .729 .017 +4645 -.042 .787 .022 +4646 -.021 .605 .045 +4647 -.067 .654 .021 +4648 .026 .593 .02 +4649 -.007 .601 .042 +4650 -.048 .595 -.081 +4651 -.088 .634 -.037 +4652 -.055 .56 -.034 +4653 -.039 .562 -.034 +4654 -.045 .673 .009 +4655 -.002 .677 .019 +4656 .091 .675 .01 +4657 .093 .683 .015 +4658 .015 .575 .005 +4659 .039 .733 .006 +4660 -.009 .692 -.029 +4661 .012 .663 -.019 +4662 -.048 .581 -.005 +4663 -.01 .673 -.035 +4664 -.015 .712 -.021 +4665 -.026 .593 -.016 +4666 -.024 .626 -.03 +4667 .003 .569 -.006 +4668 -.017 .58 .004 +4669 -.037 .571 -.012 +4670 -.034 .587 -.006 +4671 -.035 .553 -.013 +4672 -.038 .549 -.021 +4673 .002 .629 -.013 +4674 .031 .653 .02 +4675 .118 .622 .016 +4676 .128 .627 .014 +4677 0 .546 -.003 +4678 .065 .658 0 +4679 .018 .645 -.024 +4680 .047 .633 0 +4681 .001 .535 .043 +4682 .02 .623 -.057 +4683 .006 .656 -.038 +4684 .012 .588 -.07 +4685 .036 .582 -.095 +4686 -.012 .561 -.03 +4687 -.006 .571 -.039 +4688 -.01 .537 .034 +4689 .033 .543 .027 +4690 -.018 .538 .013 +4691 -.039 .563 0 +4692 .063 .595 .015 +4693 .073 .642 .034 +4694 .144 .591 .009 +4695 .134 .596 .026 +4696 -.007 .55 -.014 +4697 .073 .627 .022 +4698 .038 .613 -.007 +4699 .044 .616 .021 +4700 .058 .465 .076 +4701 .064 .607 -.057 +4702 .041 .613 -.022 +4703 .074 .59 -.113 +4704 .101 .587 -.111 +4705 -.002 .546 -.049 +4706 .028 .558 -.072 +4707 .03 .477 .068 +4708 .1 .478 .054 +4709 .012 .494 .052 +4710 -.019 .541 .018 +4711 .115 .543 .043 +4712 .154 .557 .04 +4713 .185 .568 .031 +4714 .157 .553 .051 +4715 -.019 .571 .01 +4716 .085 .571 .068 +4717 .065 .524 .037 +4718 .08 .508 .054 +4719 .118 .399 .086 +4720 .137 .549 -.039 +4721 .09 .534 .02 +4722 .146 .518 -.152 +4723 .17 .531 -.093 +4724 .011 .456 -.074 +4725 .044 .481 -.105 +4726 .084 .392 .061 +4727 .167 .423 .07 +4728 .057 .404 .075 +4729 .026 .439 .052 +4730 .201 .479 .063 +4731 .264 .479 .054 +4732 .226 .494 .033 +4733 .183 .494 .047 +4734 -.016 .471 .002 +4735 .101 .49 .066 +4736 .096 .37 .08 +4737 .11 .369 .111 +4738 .153 .29 .086 +4739 .166 .331 .012 +4740 .114 .35 .059 +4741 .148 .288 -.116 +4742 .193 .288 -.059 +4743 .018 .28 -.054 +4744 .071 .273 -.103 +4745 .109 .279 .065 +4746 .219 .303 .084 +4747 .085 .28 .07 +4748 .053 .29 .071 +4749 .242 .309 .078 +4750 .303 .335 .077 +4751 .251 .374 .046 +4752 .194 .342 .048 +4753 .026 .279 .018 +4754 .103 .359 .066 +4755 .112 .151 .149 +4756 .115 .181 .17 +4757 .176 .097 .091 +4758 .165 .088 .082 +4759 .131 .117 .103 +4760 .162 -.007 -.094 +4761 .201 .027 .006 +4762 .089 .007 -.002 +4763 .116 -.012 -.048 +4764 .119 .091 .085 +4765 .228 .105 .081 +4766 .105 .063 .075 +4767 .096 .04 .069 +4768 .242 .129 .075 +4769 .272 .14 .093 +4770 .274 .236 .06 +4771 .191 .192 .051 +4772 .09 .026 .035 +4773 .111 .189 .095 +4774 .128 -.198 .155 +4775 .14 -.163 .146 +4776 .161 -.113 .106 +4777 .178 -.169 .112 +4778 .138 -.177 .145 +4779 .171 -.219 .031 +4780 .153 -.196 .115 +4781 .112 -.171 .068 +4782 .152 -.172 .023 +4783 .133 -.122 .103 +4784 .209 -.101 .098 +4785 .133 -.12 .099 +4786 .144 -.13 .101 +4787 .218 -.095 .085 +4788 .216 -.077 .064 +4789 .195 -.038 .047 +4790 .126 -.116 .076 +4791 .129 -.152 .09 +4792 .125 -.108 .137 +4793 .192 .009 .258 +4794 .186 -.002 .266 +4795 .183 -.002 .274 +4796 .187 -.006 .276 +4797 .181 -.002 .305 +4798 .196 -.024 .143 +4799 .208 -.064 .12 +4800 .231 -.021 .129 +4801 .215 -.026 .164 +4802 .233 -.027 .156 +4803 .218 -.173 .082 +4804 .189 -.161 .091 +4805 .188 -.084 .131 +4806 .194 -.186 .128 +4807 .211 -.183 .098 +4808 .194 -.149 .065 +4809 .183 -.164 .122 +4810 .178 -.126 .129 +4811 .166 -.137 .128 +4812 .17 -.089 .127 +4813 .21 -.096 .125 +4814 .183 -.104 .127 +4815 .197 -.102 .114 +4816 .178 -.117 .103 +4817 .142 -.163 .07 +4818 .147 -.166 .069 +4819 .188 -.108 .124 +4820 .161 -.165 .1 +4821 .204 -.074 .016 +4822 .183 -.065 .034 +4823 .235 .012 .158 +4824 .19 -.076 .14 +4825 .213 -.081 .129 +4826 .247 -.063 .151 +4827 .18 -.061 .132 +4828 .216 -.012 .149 +4829 .186 -.02 .178 +4830 .237 .007 .162 +4831 .23 .01 .155 +4832 .233 -.004 .168 +4833 .22 .008 .129 +4834 .21 .006 .122 +4835 .187 .006 .092 +4836 .171 -.024 .082 +4837 .232 -.003 .155 +4838 .193 -.029 .063 +4839 .214 0 .177 +4840 .206 -.053 .166 +4841 .206 -.04 .169 +4842 .225 -.007 .187 +4843 .208 0 .186 +4844 .23 -.029 .179 +4845 .197 0 .173 +4846 .215 -.05 .176 +4847 .011 .903 .066 +4848 .012 .904 .063 +4849 .011 .902 .06 +4850 .004 .9 .048 +4851 -.002 .897 .029 +4852 0 .9 .029 +4853 0 .899 .021 +4854 0 .903 .017 +4855 0 .903 .011 +4856 0 .903 .01 +4857 -.006 .905 .013 +4858 -.006 .904 .029 +4859 .003 .904 .049 +4860 .003 .906 .057 +4861 .008 .908 .06 +4862 .01 .908 .065 +4863 .007 .906 .062 +4864 .009 .908 .057 +4865 .01 .904 .067 +4866 .008 .905 .07 +4867 .008 .906 .063 +4868 .005 .907 .046 +4869 .007 .909 .047 +4870 .007 .91 .051 +4871 .008 .91 .052 +4872 .008 .907 .056 +4873 .009 .91 .049 +4874 .005 .902 .07 +4875 .004 .907 .067 +4876 .012 .898 .064 +4877 .005 .905 .047 +4878 .004 .903 .036 +4879 .002 .902 .03 +4880 .002 .903 .026 +4881 0 .906 .026 +4882 .002 .912 .02 +4883 .002 .91 .028 +4884 .011 .918 .042 +4885 .007 .913 .037 +4886 .012 .918 .046 +4887 .006 .917 .051 +4888 .008 .915 .062 +4889 .003 .915 .056 +4890 .005 .913 .019 +4891 .006 .908 .058 +4892 .011 .91 .041 +4893 .012 .91 .047 +4894 .011 .91 .039 +4895 .008 .899 .068 +4896 .012 .9 .065 +4897 .012 .898 .07 +4898 .01 .901 .059 +4899 .213 -.005 .26 +4900 .214 -.009 .262 +4901 .211 -.01 .264 +4902 .211 -.007 .266 +4903 .214 -.017 .267 +4904 .214 -.017 .269 +4905 .212 -.017 .269 +4906 .214 -.017 .266 +4907 .214 -.017 .269 +4908 .214 -.016 .268 +4909 .214 -.018 .266 +4910 .214 -.017 .268 +4911 .211 -.019 .271 +4912 .212 -.017 .269 +4913 .213 -.016 .266 +4914 .215 -.016 .264 +4915 .215 -.013 .263 +4916 .214 -.013 .264 +4917 .21 -.014 .269 +4918 .211 -.018 .267 +4919 .214 -.009 .262 +4920 .211 -.009 .266 +4921 .214 -.007 .262 +4922 .212 -.012 .266 +4923 .214 -.013 .263 +4924 .21 -.009 .267 +4925 .214 -.011 .263 +4926 .212 -.015 .267 +4927 .213 -.019 .271 +4928 .213 -.017 .266 +4929 .212 -.016 .27 +4930 .214 -.017 .266 +4931 .212 -.005 .269 +4932 .213 -.014 .272 +4933 .213 -.013 .27 +4934 .212 -.014 .274 +4935 .212 -.01 .273 +4936 .213 -.006 .27 +4937 .212 -.009 .272 +4938 .213 -.014 .274 +4939 .212 -.011 .271 +4940 .212 -.009 .271 +4941 .213 -.016 .275 +4942 .212 -.013 .271 +4943 .212 -.013 .272 +4944 .212 -.016 .274 +4945 .212 -.007 .269 +4946 .213 -.015 .271 +4947 .214 -.016 .269 +4948 .213 -.014 .269 +4949 .214 -.018 .267 +4950 .214 -.018 .266 +4951 .213 -.014 .269 +4952 .212 -.013 .269 +4953 .213 -.011 .263 +4954 .212 -.009 .263 +4955 .215 -.018 .268 +4956 .213 -.017 .268 +4957 .215 -.018 .268 +4958 .213 -.018 .268 +4959 .214 -.018 .267 +4960 .213 -.014 .266 +4961 .213 -.016 .266 +4962 .211 -.017 .266 +4963 .213 -.012 .264 +4964 .212 -.01 .264 +4965 .213 -.014 .265 +4966 .212 -.012 .265 +4967 .212 -.017 .267 +4968 .214 -.018 .268 +4969 .212 -.017 .268 +4970 .214 -.017 .267 +4971 .212 -.008 .268 +4972 .212 -.015 .271 +4973 .213 -.014 .27 +4974 .21 -.007 .268 +4975 .212 -.016 .272 +4976 .212 -.013 .271 +4977 .212 -.009 .268 +4978 .211 -.01 .27 +4979 .212 -.017 .273 +4980 .213 -.015 .271 +4981 .212 -.015 .273 +4982 .21 -.012 .269 +4983 .21 -.01 .269 +4984 .212 -.015 .269 +4985 .21 -.012 .27 +4986 .212 -.017 .273 +4987 .213 -.015 .268 +4988 .213 -.015 .268 +4989 .214 -.015 .27 +4990 .214 -.013 .272 +4991 .215 -.015 .272 +4992 .215 -.016 .27 +4993 .216 -.013 .271 +4994 .215 -.015 .271 +4995 .214 -.017 .27 +4996 .215 -.015 .27 +4997 .214 -.016 .271 +4998 .214 -.016 .273 +4999 .215 -.016 .269 +5000 .215 -.017 .268 +5001 .215 -.015 .271 +5002 .215 -.016 .269 +5003 .214 -.016 .272 +5004 .215 -.015 .269 +5005 .216 -.011 .272 +5006 .216 -.011 .272 +5007 .213 -.014 .275 +5008 .216 -.014 .275 +5009 .215 -.015 .275 +5010 .215 -.012 .272 +5011 .213 -.014 .276 +5012 .216 -.012 .273 +5013 .216 -.014 .27 +5014 .214 -.013 .271 +5015 .215 -.016 .27 +5016 .215 -.015 .271 +5017 .215 -.011 .272 +5018 .214 -.012 .272 +5019 .214 -.016 .272 +5020 .215 -.016 .267 +5021 .215 -.016 .267 +5022 .214 -.017 .271 +5023 .214 -.013 .273 +5024 .214 -.013 .273 +5025 .214 -.014 .27 +5026 .215 -.016 .27 +5027 .214 -.014 .27 +5028 .215 -.015 .271 +5029 .216 -.016 .269 +5030 .214 -.017 .27 +5031 .214 -.016 .271 +5032 .214 -.016 .27 +5033 .215 -.015 .271 +5034 .214 -.015 .27 +5035 .214 -.016 .269 +5036 .216 -.016 .268 +5037 .214 -.014 .272 +5038 .214 -.012 .272 +5039 .214 -.015 .273 +5040 .213 -.016 .274 +5041 .215 -.012 .272 +5042 .214 -.015 .274 +5043 .214 -.012 .272 +5044 .213 -.016 .274 +5045 .216 -.013 .271 +5046 .216 -.013 .271 +5047 .213 -.015 .271 +5048 .213 -.015 .273 +5049 .022 .952 .017 +5050 .006 .877 .087 +5051 .004 .92 .005 +5052 .005 .886 .085 +5053 .002 .881 .084 +5054 0 .883 .08 +5055 .001 .915 .014 +5056 .002 .916 0 +5057 .006 .891 .071 +5058 .027 .946 .025 +5059 .022 .952 .004 +5060 .03 .954 -.002 +5061 .033 .948 .006 +5062 .005 .883 .096 +5063 0 .876 .086 +5064 .004 .894 .105 +5065 .04 .936 .061 +5066 .038 .933 .069 +5067 .005 .949 .021 +5068 .01 .943 .029 +5069 .013 .934 .017 +5070 .002 .869 .105 +5071 0 .891 .047 +5072 0 .892 .052 +5073 -.005 .884 .052 +5074 .002 .892 .051 +5075 -.001 .925 .02 +5076 0 .909 .018 +5077 0 .905 .013 +5078 -.002 .903 .014 +5079 .006 .911 .058 +5080 .009 .909 .055 +5081 .007 .912 .058 +5082 .006 .925 .057 +5083 .004 .919 .032 +5084 .011 .937 .043 +5085 .008 .929 .04 +5086 .033 .944 .04 +5087 .025 .947 .063 +5088 .014 .941 .044 +5089 .039 .951 .071 +5090 .008 .915 .066 +5091 .041 .953 .076 +5092 .028 .894 .05 +5093 .012 .927 .026 +5094 .008 .913 .03 +5095 -.003 .913 .045 +5096 .004 .911 .035 +5097 .018 .894 -.016 +5098 .023 .911 -.016 +5099 .016 .938 .055 +5100 .019 .934 .051 +5101 0 .91 .02 +5102 .003 .915 .056 +5103 0 .911 .032 +5104 .007 .916 .066 +5105 .004 .914 .036 +5106 .008 .917 .067 +5107 .006 .919 .059 +5108 .008 .92 .062 +5109 .009 .924 .064 +5110 .008 .925 .064 +5111 .011 .927 .066 +5112 .008 .929 .063 +5113 .013 .928 .068 +5114 .008 .931 .064 +5115 .015 .931 .07 +5116 .008 .933 .065 +5117 .014 .934 .073 +5118 .007 .935 .067 +5119 .014 .935 .075 +5120 .008 .937 .068 +5121 .013 .931 .084 +5122 .012 .929 .086 +5123 .008 .928 .084 +5124 .012 .927 .088 +5125 .008 .933 .079 +5126 .011 .926 .089 +5127 0 .902 .011 +5128 .009 .909 .058 +5129 .002 .913 .026 +5130 .005 .916 .061 +5131 0 .911 .04 +5132 .018 .94 .033 +5133 .035 .943 .047 +5134 0 .857 .104 +5135 -.008 .877 .051 +5136 -.003 .899 .019 +5137 -.01 .86 .049 +5138 0 .889 .054 +5139 -.002 .924 .018 +5140 .024 .899 .057 +5141 .026 .918 .054 +5142 0 .885 .029 +5143 0 .883 .035 +5144 .017 .886 .049 +5145 .019 .896 .061 +5146 0 .935 .02 +5147 .009 .954 .016 +5148 .018 .949 .036 +5149 .023 .896 .063 +5150 .028 .947 .04 +5151 .053 .908 .06 +5152 .047 .912 .069 +5153 .047 .897 .061 +5154 .041 .903 .061 +5155 .011 .886 .049 +5156 0 .883 .035 +5157 -.008 .885 .044 +5158 -.001 .886 .032 +5159 .006 .886 .027 +5160 .011 .887 .025 +5161 .003 .897 .034 +5162 0 .891 .051 +5163 .006 .887 .029 +5164 .002 .888 .028 +5165 .015 .882 .036 +5166 .009 .892 .028 +5167 0 .894 .028 +5168 0 .89 .039 +5169 .015 .873 .039 +5170 .01 .876 .034 +5171 0 .89 .036 +5172 .015 .88 .038 +5173 .021 .88 .046 +5174 .016 .876 .042 +5175 .027 .936 .072 +5176 .03 .912 .073 +5177 .041 .91 .06 +5178 .028 .951 .07 +5179 .027 .918 .07 +5180 .03 .912 .065 +5181 .035 .945 .07 +5182 .023 .918 .063 +5183 .027 .91 .059 +5184 .032 .939 .066 +5185 .02 .92 .051 +5186 .028 .91 .046 +5187 .02 .939 .066 +5188 .015 .926 .042 +5189 .022 .919 .045 +5190 -.019 .943 .05 +5191 .012 .937 .048 +5192 0 .962 .016 +5193 -.029 .959 .012 +5194 -.027 .948 .025 +5195 .025 .92 .05 +5196 -.026 .943 .04 +5197 -.006 .946 .051 +5198 .02 .924 .042 +5199 .012 .927 .036 +5200 .01 .932 .043 +5201 .027 .902 .048 +5202 .026 .914 .046 +5203 .031 .902 .049 +5204 .038 .905 .051 +5205 .042 .907 .044 +5206 .037 .904 .043 +5207 .005 .881 .036 +5208 .03 .888 .055 +5209 .022 .95 .014 +5210 .012 .888 .029 +5211 0 .885 .045 +5212 .003 .882 .031 +5213 .003 .886 .027 +5214 -.005 .884 .042 +5215 -.002 .886 .03 +5216 .005 .884 .029 +5217 .011 .884 .028 +5218 .012 .886 .047 +5219 .027 .951 .013 +5220 -.003 .888 .03 +5221 0 .888 .021 +5222 .006 .887 .021 +5223 .01 .878 .033 +5224 .015 .875 .043 +5225 0 .889 .026 +5226 .014 .867 .041 +5227 .02 .86 .047 +5228 .033 .872 .054 +5229 .007 .911 .062 +5230 .038 .911 .05 +5231 -.011 .912 .063 +5232 -.023 .916 .047 +5233 .044 .912 .041 +5234 .048 .914 .042 +5235 .026 .897 .043 +5236 .024 .909 .039 +5237 .027 .911 .038 +5238 .034 .869 .056 +5239 .034 .908 .047 +5240 .007 .853 -.005 +5241 .016 .859 .02 +5242 .028 .873 .049 +5243 0 .943 .016 +5244 -.026 .94 .021 +5245 -.034 .93 .03 +5246 .03 .881 .052 +5247 .018 .931 .045 +5248 .016 .949 .021 +5249 .035 .952 .005 +5250 .012 .961 .012 +5251 .02 .959 .032 +5252 .019 .949 .056 +5253 .022 .952 .058 +5254 .014 .933 .071 +5255 .015 .933 .077 +5256 .007 .912 .087 +5257 .011 .913 .099 +5258 .017 .901 .049 +5259 -.004 .946 .084 +5260 -.006 .948 .078 +5261 -.019 .947 .063 +5262 -.02 .944 .042 +5263 -.012 .943 .043 +5264 .002 .938 .046 +5265 -.012 .944 .046 +5266 0 1.004 -.11 +5267 -.019 .998 -.097 +5268 -.004 .99 -.072 +5269 .029 .983 -.031 +5270 .039 .968 -.013 +5271 .02 .955 .019 +5272 -.003 .935 .002 +5273 -.045 .93 -.014 +5274 -.062 .912 -.021 +5275 -.05 .921 -.021 +5276 -.052 .921 -.027 +5277 -.068 .898 -.037 +5278 .013 .916 -.007 +5279 .041 .922 .02 +5280 .053 .938 .01 +5281 .04 .952 -.007 +5282 .004 .956 -.056 +5283 -.016 .965 -.078 +5284 0 .968 -.086 +5285 -.045 .915 -.04 +5286 .035 .916 .052 +5287 .042 .911 .049 +5288 .033 .892 .05 +5289 .042 .889 .049 +5290 .034 .877 .051 +5291 -.006 .892 .025 +5292 0 .892 .018 +5293 .008 .887 .02 +5294 .012 .873 .029 +5295 .011 .865 .031 +5296 0 .895 .022 +5297 .003 .86 .033 +5298 .008 .848 .03 +5299 .021 .876 .038 +5300 .036 .881 .06 +5301 .051 .891 .054 +5302 .052 .905 .05 +5303 .036 .952 .003 +5304 .042 .942 .049 +5305 .03 .95 .029 +5306 .035 .952 .022 +5307 .021 .941 .041 +5308 .012 .941 .076 +5309 .01 .943 .073 +5310 .012 .939 .08 +5311 .012 .937 .081 +5312 .012 .935 .084 +5313 .012 .933 .084 +5314 .01 .934 .084 +5315 .011 .931 .087 +5316 .009 .938 .081 +5317 .011 .93 .087 +5318 -.01 .94 .069 +5319 -.012 .953 .025 +5320 0 .956 .021 +5321 .01 .916 .034 +5322 .02 .933 .043 +5323 .046 .924 .064 +5324 .042 .927 .075 +5325 .029 .93 .079 +5326 .028 .935 .067 +5327 .023 .93 .062 +5328 .019 .928 .053 +5329 .013 .933 .045 +5330 .006 .894 .041 +5331 .038 .94 .052 +5332 .03 .939 .048 +5333 .047 .923 .054 +5334 -.002 .847 .059 +5335 0 .915 .031 +5336 -.004 .916 .026 +5337 0 .905 .023 +5338 .006 .881 .039 +5339 .014 .883 .042 +5340 .004 .849 .053 +5341 .003 .839 .056 +5342 0 .872 .047 +5343 0 .87 .044 +5344 0 .875 .049 +5345 0 .866 .058 +5346 -.004 .852 .067 +5347 -.011 .917 .065 +5348 -.01 .906 .038 +5349 -.009 .901 .027 +5350 -.007 .889 .016 +5351 .006 .863 .037 +5352 .003 .863 .027 +5353 -.002 .886 .015 +5354 .003 .862 .046 +5355 -.006 .988 .02 +5356 0 .999 .039 +5357 .004 .979 .051 +5358 .001 .942 .053 +5359 -.005 .895 .024 +5360 -.01 .897 .027 +5361 0 .875 .022 +5362 -.005 .902 .005 +5363 -.008 .843 .061 +5364 -.002 .843 .059 +5365 -.006 1 -.024 +5366 -.009 .992 -.003 +5367 .007 .917 .003 +5368 0 .872 .027 +5369 .024 .911 .034 +5370 -.02 .87 .034 +5371 -.01 .878 .02 +5372 -.016 .916 -.012 +5373 .013 .951 0 +5374 .034 .967 .008 +5375 .006 .942 .023 +5376 -.016 .921 -.007 +5377 .019 .971 -.021 +5378 .02 .959 0 +5379 0 .971 -.013 +5380 -.012 .922 .015 +5381 -.011 .981 -.002 +5382 -.005 .959 .008 +5383 -.037 .918 -.011 +5384 -.016 .943 0 +5385 -.027 .92 -.005 +5386 .019 .984 -.026 +5387 .013 .978 -.038 +5388 .002 .965 -.021 +5389 0 1.004 -.054 +5390 .014 .993 -.026 +5391 -.027 .907 .004 +5392 -.007 1.008 -.038 +5393 -.002 1.004 -.026 +5394 .066 .901 .034 +5395 .055 .896 .022 +5396 .061 .894 .016 +5397 .064 .895 .017 +5398 .038 .91 .009 +5399 .023 .908 .002 +5400 .028 .905 -.005 +5401 .029 .907 -.007 +5402 .018 .921 -.013 +5403 .008 .921 -.011 +5404 .011 .921 -.011 +5405 .014 .921 -.012 +5406 -.002 .905 -.008 +5407 -.025 .904 -.016 +5408 -.044 .921 -.024 +5409 -.034 .91 -.023 +5410 -.03 .915 -.026 +5411 .014 .92 -.012 +5412 .003 .91 -.003 +5413 .002 .938 .009 +5414 -.016 .888 -.022 +5415 .002 .905 .004 +5416 .019 .951 .037 +5417 .02 .936 .006 +5418 0 .919 0 +5419 .01 .925 0 +5420 -.016 .913 -.014 +5421 0 .866 -.015 +5422 .019 .943 .014 +5423 .019 .928 0 +5424 .012 .921 -.01 +5425 -.002 .897 0 +5426 0 .899 -.004 +5427 .007 .907 -.011 +5428 -.009 .898 -.002 +5429 -.028 .895 .006 +5430 -.011 .907 0 +5431 -.031 .897 .016 +5432 -.036 .912 .017 +5433 .012 .921 -.006 +5434 .019 .908 -.005 +5435 0 .923 .017 +5436 -.013 .888 -.024 +5437 0 .896 .003 +5438 .009 .934 .034 +5439 -.004 .924 .014 +5440 -.017 .909 -.009 +5441 -.009 .91 -.002 +5442 -.032 .889 -.023 +5443 .019 .878 -.012 +5444 0 .932 .021 +5445 -.009 .923 .008 +5446 .015 .919 -.008 +5447 0 .888 0 +5448 .005 .898 -.003 +5449 .013 .902 -.007 +5450 -.028 .873 -.007 +5451 -.033 .877 -.005 +5452 -.017 .886 0 +5453 -.031 .875 .016 +5454 -.044 .904 0 +5455 .016 .921 -.005 +5456 .024 .915 -.007 +5457 .017 .897 .013 +5458 -.003 .894 -.018 +5459 .022 .889 -.006 +5460 .028 .914 .025 +5461 .019 .925 .013 +5462 -.013 .907 0 +5463 .008 .909 0 +5464 -.02 .902 -.013 +5465 .025 .877 -.004 +5466 .028 .927 .023 +5467 .014 .927 .006 +5468 .021 .916 -.004 +5469 .013 .891 -.003 +5470 .011 .892 -.003 +5471 .015 .899 -.006 +5472 -.037 .898 -.009 +5473 -.044 .896 -.009 +5474 -.025 .891 0 +5475 -.031 .889 .008 +5476 -.045 .898 .007 +5477 .021 .921 -.006 +5478 -.008 .917 -.027 +5479 .026 .901 .013 +5480 -.042 .89 -.006 +5481 .026 .892 0 +5482 .016 .91 .02 +5483 .014 .917 .021 +5484 -.026 .905 0 +5485 -.016 .907 .01 +5486 -.028 .905 .005 +5487 -.003 .884 -.003 +5488 .041 .914 .025 +5489 .006 .918 .018 +5490 .029 .911 -.004 +5491 .008 .88 .005 +5492 0 .893 0 +5493 .005 .902 0 +5494 -.025 .905 .006 +5495 -.025 .919 .007 +5496 -.036 .904 -.002 +5497 -.024 .905 .003 +5498 -.018 .921 .004 +5499 .022 .915 -.009 +5500 -.006 .911 -.008 +5501 .028 .887 .007 +5502 .012 .856 .013 +5503 .024 .88 0 +5504 .032 .893 .012 +5505 .021 .9 .016 +5506 0 .904 .003 +5507 .006 .907 .007 +5508 -.036 .866 .015 +5509 .013 .86 .005 +5510 .027 .897 .015 +5511 .014 .904 .012 +5512 .028 .91 -.004 +5513 .016 .878 -.005 +5514 .008 .889 -.002 +5515 .006 .902 0 +5516 -.03 .886 .017 +5517 .023 .898 .004 +5518 .003 .901 -.005 +5519 .019 .903 -.007 +5520 .029 .902 0 +5521 .013 .914 -.002 +5522 .034 .908 -.005 +5523 .051 .904 -.012 +5524 .041 .896 -.013 +5525 .025 .907 -.003 +5526 .015 .914 0 +5527 .052 .887 -.013 +5528 .041 .892 -.014 +5529 .037 .9 -.01 +5530 .046 .889 -.008 +5531 .031 .88 0 +5532 .007 .905 0 +5533 .004 .899 0 +5534 .028 .888 -.002 +5535 .029 .91 -.005 +5536 .026 .899 .008 +5537 .03 .893 .009 +5538 .032 .878 .009 +5539 .032 .872 .002 +5540 .028 .903 0 +5541 .033 .901 -.007 +5542 .027 .896 .01 +5543 .034 .89 .008 +5544 0 1.032 -.125 +5545 -.019 1.028 -.111 +5546 -.008 1.018 -.075 +5547 .015 1.01 -.053 +5548 .047 .892 .049 +5549 .031 .917 .058 +5550 .017 .992 -.046 +5551 .074 .882 .033 +5552 .085 .886 .029 +5553 0 .975 -.025 +5554 0 .939 -.031 +5555 .021 .915 .005 +5556 .002 .933 -.026 +5557 -.013 .951 -.007 +5558 -.061 .911 -.006 +5559 -.059 .921 -.02 +5560 0 .927 -.019 +5561 -.051 .934 -.002 +5562 .069 .899 .025 +5563 .04 .91 0 +5564 .016 .921 -.012 +5565 -.038 .915 -.023 +5566 .012 .918 -.01 +5567 -.021 .905 0 +5568 .016 .915 -.009 +5569 -.029 .892 -.002 +5570 .022 .911 -.008 +5571 -.03 .892 0 +5572 .021 .907 -.002 +5573 -.031 .902 -.002 +5574 .021 .906 -.003 +5575 .011 .903 -.007 +5576 .043 .884 0 +5577 .032 .873 .011 +5578 .039 .888 .005 +5579 .008 .912 0 +5580 .039 .878 0 +5581 .015 .916 -.006 +5582 -.018 .916 -.02 +5583 -.015 .917 0 +5584 -.01 .932 .011 +5585 .004 .894 0 +5586 .029 .876 0 +5587 -.004 .86 0 +5588 .014 .907 .021 +5589 .007 .909 .019 +5590 -.022 .919 .01 +5591 -.036 .896 .005 +5592 .029 .91 -.005 +5593 .002 .901 0 +5594 .02 .9 .021 +5595 .029 .898 .017 +5596 -.027 .904 .006 +5597 -.018 .91 .011 +5598 -.034 .903 .003 +5599 -.01 .934 .011 +5600 -.004 .864 .007 +5601 .04 .889 .013 +5602 .02 .905 -.002 +5603 -.03 .908 0 +5604 .06 .905 -.015 +5605 .034 .912 .002 +5606 .049 .911 -.005 +5607 .022 .912 -.004 +5608 .023 .895 .004 +5609 -.025 .91 .005 +5610 .026 .916 -.008 +5611 .015 .906 .008 +5612 .013 .901 0 +5613 .031 .914 -.007 +5614 .046 .919 .017 +5615 .01 .9 -.002 +5616 .012 .915 -.014 +5617 -.017 .903 -.006 +5618 .059 .896 -.013 +5619 .061 .885 -.006 +5620 .041 .898 .002 +5621 .028 .897 .005 +5622 .056 .903 -.007 +5623 .021 .894 .003 +5624 .022 .908 .006 +5625 .05 .906 -.007 +5626 .048 .9 -.002 +5627 .015 .912 0 +5628 .058 .899 -.016 +5629 .052 .902 -.014 +5630 .047 .905 -.009 +5631 .016 .909 -.003 +5632 .005 .908 0 +5633 .06 .9 -.004 +5634 .031 .901 0 +5635 .067 .9 -.016 +5636 .074 .893 -.011 +5637 -.024 .892 -.011 +5638 .017 .91 -.003 +5639 .039 .901 .006 +5640 .054 .878 .011 +5641 .044 .904 -.005 +5642 .064 .901 .003 +5643 .081 .888 0 +5644 .044 .902 -.011 +5645 .034 .898 .003 +5646 .025 .901 0 +5647 .051 .909 -.007 +5648 .049 .909 -.01 +5649 .021 .896 -.002 +5650 .05 .89 .011 +5651 .019 .9 0 +5652 .05 .906 0 +5653 .015 .921 0 +5654 0 .882 .004 +5655 -.022 .887 -.008 +5656 .045 .909 -.006 +5657 .053 .907 -.012 +5658 -.034 .907 0 +5659 0 .91 -.002 +5660 .046 .921 .017 +5661 .023 .913 -.003 +5662 .017 .907 -.002 +5663 .04 .911 -.006 +5664 .014 .904 0 +5665 .074 .895 .002 +5666 .036 .923 .009 +5667 -.03 .899 -.003 +5668 -.024 .896 -.01 +5669 -.016 .903 -.012 +5670 .005 .89 -.003 +5671 -.017 .888 .002 +5672 .004 .891 -.005 +5673 .008 .883 -.003 +5674 .033 .913 -.006 +5675 .06 .91 -.008 +5676 .039 .915 -.006 +5677 .069 .904 -.004 +5678 .072 .902 0 +5679 .06 .908 -.005 +5680 .041 .914 -.006 +5681 .047 .91 -.01 +5682 .044 .91 -.008 +5683 .058 .908 -.012 +5684 .066 .903 -.013 +5685 .072 .901 -.005 +5686 .08 .896 0 +5687 .036 .913 -.006 +5688 .062 .91 -.008 +5689 .027 .911 -.004 +5690 .058 .909 0 +5691 .037 .913 -.009 +5692 .056 .909 -.01 +5693 .039 .915 -.007 +5694 .049 .909 -.007 +5695 .045 .912 -.008 +5696 .043 .913 -.007 +5697 .069 .901 -.009 +5698 .08 .894 0 +5699 .019 .916 -.008 +5700 -.019 .929 .01 +5701 .027 .884 .002 +5702 .003 .916 .018 +5703 -.034 .909 .004 +5704 .003 .901 0 +5705 .021 .91 .022 +5706 -.03 .906 0 +5707 -.032 .905 0 +5708 .038 .887 0 +5709 -.019 .914 -.026 +5710 -.027 .912 .005 +5711 0 .895 0 +5712 -.013 .874 0 +5713 .012 .914 .022 +5714 -.035 .923 .014 +5715 .029 .91 -.004 +5716 .016 .906 .02 +5717 -.016 .91 .01 +5718 -.027 .931 .015 +5719 -.027 .877 -.002 +5720 .036 .897 .011 +5721 .02 .905 -.002 +5722 -.032 .908 0 +5723 -.031 .93 -.012 +5724 .007 .94 .008 +5725 .006 .928 .005 +5726 -.036 .924 -.026 +5727 .002 .907 -.006 +5728 .003 .87 -.021 +5729 0 .929 .003 +5730 -.006 .934 0 +5731 0 .881 -.019 +5732 0 .928 -.013 +5733 -.038 .907 .008 +5734 -.043 .894 -.009 +5735 .009 .921 -.008 +5736 .01 .921 -.01 +5737 -.037 .886 -.011 +5738 .004 .906 -.004 +5739 .007 .912 -.009 +5740 -.016 .937 -.005 +5741 -.002 .906 -.008 +5742 -.008 .917 0 +5743 -.017 .913 .01 +5744 -.038 .904 -.023 +5745 .01 .919 -.01 +5746 -.041 .89 -.017 +5747 -.038 .927 -.024 +5748 .004 .922 -.012 +5749 -.05 .924 -.034 +5750 .013 .914 -.009 +5751 -.009 .933 -.019 +5752 .012 .898 -.021 +5753 -.041 .893 .003 +5754 .009 .922 -.013 +5755 .012 .916 -.007 +5756 .012 .911 -.003 +5757 -.042 .906 -.025 +5758 .009 .906 .012 +5759 .013 .879 -.02 +5760 0 .925 -.016 +5761 .009 .924 -.004 +5762 -.045 .905 0 +5763 .014 .923 -.011 +5764 -.042 .896 -.019 +5765 .011 .918 -.01 +5766 -.021 .931 -.018 +5767 .018 .914 -.011 +5768 -.012 .903 0 +5769 .008 .921 -.01 +5770 -.04 .899 -.018 +5771 .213 -.002 .259 +5772 .213 -.002 .259 +5773 .21 0 .262 +5774 .211 -.004 .263 +5775 .211 .006 .265 +5776 .21 .002 .266 +5777 .212 0 .259 +5778 .212 -.003 .262 +5779 .21 .005 .263 +5780 .21 0 .265 +5781 .213 0 .257 +5782 .214 0 .256 +5783 .211 .005 .259 +5784 .209 0 .264 +5785 .209 .013 .262 +5786 .21 .008 .265 +5787 .212 0 .258 +5788 .212 0 .259 +5789 .209 .009 .261 +5790 .209 .003 .265 +5791 .212 .011 .254 +5792 .214 .008 .255 +5793 .21 .012 .257 +5794 .211 0 .264 +5795 .209 .019 .261 +5796 .207 .014 .264 +5797 .211 .007 .256 +5798 .213 .004 .258 +5799 .209 .017 .26 +5800 .21 .006 .266 +5801 .213 -.012 .266 +5802 .214 -.013 .264 +5803 .214 -.009 .267 +5804 .212 -.011 .268 +5805 .213 -.007 .269 +5806 .213 -.008 .271 +5807 .214 -.011 .266 +5808 .214 -.013 .268 +5809 .214 -.01 .27 +5810 .214 -.009 .27 +5811 .213 -.007 .264 +5812 .214 -.009 .263 +5813 .213 -.009 .267 +5814 .213 -.009 .269 +5815 .213 -.006 .27 +5816 .213 -.007 .27 +5817 .213 -.01 .263 +5818 .213 -.01 .267 +5819 .214 -.007 .269 +5820 .214 -.009 .269 +5821 .213 -.005 .263 +5822 .213 -.006 .262 +5823 .214 -.007 .266 +5824 .213 -.008 .268 +5825 .213 -.005 .27 +5826 .213 -.005 .27 +5827 .215 -.005 .263 +5828 .213 -.006 .265 +5829 .212 -.006 .269 +5830 .212 -.006 .268 +5831 .212 0 .261 +5832 .213 0 .26 +5833 .213 -.004 .265 +5834 .212 -.004 .266 +5835 .211 .001 .268 +5836 .211 .001 .268 +5837 .214 0 .261 +5838 .213 0 .264 +5839 .213 0 .267 +5840 .212 0 .267 +5841 .213 -.009 .271 +5842 .213 -.011 .27 +5843 .212 -.012 .269 +5844 .214 -.014 .266 +5845 .205 -.09 .108 +5846 .213 -.008 .27 +5847 .215 -.014 .266 +5848 .214 -.015 .267 +5849 .214 -.013 .268 +5850 .215 -.014 .269 +5851 .214 -.011 .27 +5852 .211 0 .259 +5853 .213 .002 .258 +5854 .214 -.002 .265 +5855 .212 -.002 .266 +5856 .208 -.091 .058 +5857 .211 .004 .267 +5858 .211 .005 .267 +5859 .215 0 .26 +5860 .213 0 .263 +5861 .211 .001 .266 +5862 .211 0 .267 +5863 .212 .01 .256 +5864 .212 .01 .256 +5865 .214 0 .263 +5866 .213 0 .265 +5867 .21 -.089 .014 +5868 .209 .011 .264 +5869 .211 .011 .265 +5870 .212 0 .259 +5871 .212 .004 .26 +5872 .21 .006 .265 +5873 .211 .003 .266 +5874 .215 -.016 .27 +5875 .213 -.016 .273 +5876 .215 -.017 .274 +5877 .215 -.016 .27 +5878 .214 -.017 .271 +5879 .215 -.017 .273 +5880 .215 -.016 .27 +5881 .215 -.017 .27 +5882 .215 -.015 .274 +5883 .214 -.017 .274 +5884 .214 -.015 .27 +5885 .214 -.014 .269 +5886 .215 -.016 .273 +5887 .215 -.016 .27 +5888 .213 -.017 .274 +5889 .215 -.014 .268 +5890 .214 -.017 .273 +5891 .215 -.016 .273 +5892 .213 -.014 .276 +5893 .214 -.017 .275 +5894 .214 -.016 .275 +5895 .215 -.015 .274 +5896 .212 -.015 .276 +5897 .215 -.017 .273 +5898 .214 -.016 .271 +5899 .215 -.017 .271 +5900 .214 -.016 .27 +5901 .214 -.016 .27 +5902 .215 -.016 .272 +5903 .215 -.015 .272 +5904 .214 -.014 .273 +5905 .214 -.015 .268 +5906 .214 -.015 .27 +5907 .215 -.013 .273 +5908 .212 -.013 .274 +5909 .212 -.013 .274 +5910 .214 -.016 .27 +5911 .214 -.017 .271 +5912 .214 -.016 .271 +5913 .214 -.016 .271 +5914 .212 -.015 .27 +5915 .213 -.017 .271 +5916 .213 -.015 .271 +5917 .214 -.016 .27 +5918 .213 -.015 .271 +5919 .213 -.016 .27 +5920 .213 -.016 .271 +5921 .212 -.015 .268 +5922 .213 -.016 .273 +5923 .215 -.017 .272 +5924 .214 -.014 .273 +5925 .214 -.017 .275 +5926 .215 -.017 .272 +5927 .214 -.017 .274 +5928 .215 -.016 .273 +5929 .213 -.015 .274 +5930 .214 -.016 .272 +5931 .215 -.017 .271 +5932 .214 -.013 .273 +5933 .213 -.013 .274 +5934 .214 -.012 .267 +5935 .214 -.011 .265 +5936 .213 -.009 .268 +5937 .212 -.01 .269 +5938 .213 -.008 .271 +5939 .213 -.006 .272 +5940 .212 -.011 .267 +5941 .214 -.012 .269 +5942 .212 -.006 .27 +5943 .212 -.008 .271 +5944 .213 -.008 .266 +5945 .213 -.007 .265 +5946 .213 -.005 .268 +5947 .213 -.009 .27 +5948 .213 -.006 .27 +5949 .212 -.005 .271 +5950 .212 -.007 .265 +5951 .214 -.009 .268 +5952 .213 -.005 .27 +5953 .212 -.006 .271 +5954 .214 -.006 .265 +5955 .212 -.005 .263 +5956 .211 -.004 .269 +5957 .213 -.007 .27 +5958 .212 -.005 .27 +5959 .212 -.005 .271 +5960 .212 -.004 .264 +5961 .213 -.007 .267 +5962 .213 -.004 .269 +5963 .212 -.005 .27 +5964 .212 0 .262 +5965 .211 0 .26 +5966 .212 0 .266 +5967 .211 0 .267 +5968 .211 0 .268 +5969 .212 0 .268 +5970 .21 0 .262 +5971 .212 0 .265 +5972 .212 -.001 .268 +5973 .211 0 .268 +5974 .213 -.008 .273 +5975 .212 -.009 .272 +5976 .214 -.011 .27 +5977 .213 -.012 .267 +5978 .213 -.007 .272 +5979 .214 -.012 .266 +5980 .211 -.011 .267 +5981 .213 -.01 .269 +5982 .213 -.012 .269 +5983 .212 -.008 .271 +5984 .212 0 .262 +5985 .212 .002 .259 +5986 .211 0 .266 +5987 .21 0 .265 +5988 .21 .004 .268 +5989 .208 .006 .267 +5990 .211 0 .262 +5991 .212 0 .264 +5992 .212 0 .267 +5993 .21 .003 .267 +5994 .21 .009 .259 +5995 .211 .011 .258 +5996 .213 .001 .265 +5997 .211 .002 .265 +5998 .209 .012 .266 +5999 .208 .013 .266 +6000 .213 .004 .26 +6001 .212 .006 .26 +6002 .21 .004 .266 +6003 .209 .006 .267 +6004 .213 -.013 .269 +6005 .213 -.014 .271 +6006 .212 -.014 .271 +6007 .212 -.013 .269 +6008 .212 -.015 .27 +6009 .212 -.015 .271 +6010 .211 -.013 .27 +6011 .211 -.013 .27 +6012 .212 -.009 .271 +6013 .211 -.012 .271 +6014 .212 -.012 .268 +6015 .212 -.012 .268 +6016 .212 -.013 .272 +6017 .212 -.012 .269 +6018 .211 -.014 .271 +6019 .213 -.012 .268 +6020 .211 -.016 .272 +6021 .213 -.016 .271 +6022 .211 -.008 .274 +6023 .212 -.014 .274 +6024 .212 -.016 .275 +6025 .212 -.016 .272 +6026 .211 -.009 .275 +6027 .211 -.017 .273 +6028 .212 -.015 .27 +6029 .212 -.015 .27 +6030 .212 -.013 .27 +6031 .212 -.014 .27 +6032 .212 -.015 .271 +6033 .212 -.015 .272 +6034 .212 -.01 .272 +6035 .212 -.01 .268 +6036 .211 -.011 .269 +6037 .211 -.008 .27 +6038 .21 -.003 .273 +6039 .212 -.006 .273 +6040 .212 -.013 .27 +6041 .211 -.013 .27 +6042 .212 -.014 .27 +6043 .212 -.014 .27 +6044 .212 -.011 .269 +6045 .211 -.012 .271 +6046 .212 -.013 .272 +6047 .211 -.012 .27 +6048 .212 -.015 .271 +6049 .212 -.013 .27 +6050 .211 -.011 .271 +6051 .211 -.009 .269 +6052 .213 -.016 .272 +6053 .212 -.014 .271 +6054 .211 -.008 .272 +6055 .212 -.014 .274 +6056 .212 -.016 .272 +6057 .211 -.013 .273 +6058 .212 -.016 .272 +6059 .211 -.011 .273 +6060 .212 -.015 .27 +6061 .212 -.015 .271 +6062 .212 -.006 .272 +6063 .211 -.007 .272 +6064 .211 -.005 .267 +6065 .211 -.004 .266 +6066 .211 0 .268 +6067 .21 -.002 .269 +6068 .212 0 .27 +6069 .211 0 .271 +6070 .212 0 .266 +6071 .212 -.005 .267 +6072 .211 0 .269 +6073 .211 -.001 .271 +6074 .211 -.004 .266 +6075 .212 -.002 .264 +6076 .211 0 .267 +6077 .211 -.004 .269 +6078 .211 .001 .27 +6079 .211 0 .271 +6080 .212 0 .266 +6081 .212 -.004 .267 +6082 .21 .001 .269 +6083 .21 0 .27 +6084 .212 0 .265 +6085 .212 0 .264 +6086 .211 0 .267 +6087 .211 -.001 .268 +6088 .211 .001 .269 +6089 .211 0 .271 +6090 .211 0 .265 +6091 .211 0 .266 +6092 .211 .002 .269 +6093 .211 0 .27 +6094 .209 .005 .263 +6095 .211 .006 .261 +6096 .211 .004 .266 +6097 .211 .003 .267 +6098 .209 .006 .269 +6099 .21 .006 .269 +6100 .212 .004 .262 +6101 .211 .004 .264 +6102 .21 .006 .269 +6103 .21 .004 .268 +6104 .211 -.004 .273 +6105 .211 -.006 .271 +6106 .211 -.007 .27 +6107 .212 -.006 .267 +6108 .211 -.002 .271 +6109 .212 -.005 .265 +6110 .211 -.006 .268 +6111 .211 -.003 .269 +6112 .211 -.009 .269 +6113 .211 -.002 .27 +6114 .209 .006 .261 +6115 .21 .01 .26 +6116 .211 .004 .266 +6117 .209 .006 .265 +6118 .21 .01 .267 +6119 .208 .008 .269 +6120 .21 .006 .262 +6121 .21 .006 .263 +6122 .21 .006 .268 +6123 .208 .008 .268 +6124 .21 .013 .26 +6125 .209 .014 .258 +6126 .211 .003 .265 +6127 .209 .007 .265 +6128 .207 .015 .266 +6129 .208 .015 .267 +6130 .212 .008 .261 +6131 .209 .008 .261 +6132 .209 .007 .266 +6133 .208 .011 .267 +6134 .21 .005 .265 +6135 .208 .005 .266 +6136 .208 .007 .269 +6137 .207 .007 .269 +6138 .21 .005 .262 +6139 .208 .005 .263 +6140 .209 .004 .266 +6141 .207 .006 .267 +6142 .209 .006 .264 +6143 .208 .01 .265 +6144 .208 .008 .268 +6145 .208 .012 .269 +6146 .21 .006 .262 +6147 .209 .007 .262 +6148 .209 .006 .265 +6149 .207 .009 .267 +6150 .208 .01 .261 +6151 .207 .013 .264 +6152 .207 .012 .268 +6153 .207 .016 .267 +6154 .209 .013 .26 +6155 .209 .015 .262 +6156 .209 .005 .265 +6157 .207 .015 .267 +6158 .213 -.015 .268 +6159 .213 -.012 .27 +6160 .213 -.015 .272 +6161 .213 -.014 .274 +6162 .214 -.015 .275 +6163 .212 -.011 .272 +6164 .212 -.008 .271 +6165 .213 -.008 .271 +6166 .213 -.006 .27 +6167 .211 .003 .265 +6168 .21 .009 .264 +6169 .21 .017 .261 +6170 .213 -.012 .261 +6171 .214 -.013 .263 +6172 .214 -.014 .265 +6173 .212 -.013 .269 +6174 .213 -.017 .265 +6175 .214 -.015 .266 +6176 .214 -.018 .266 +6177 .214 -.014 .268 +6178 .214 -.018 .267 +6179 .213 -.017 .268 +6180 .213 -.015 .268 +6181 .213 .015 .252 +6182 .213 .003 .256 +6183 .214 -.006 .261 +6184 .213 -.002 .258 +6185 .213 -.01 .26 +6186 .241 -.034 .216 +6187 .235 -.047 .226 +6188 .208 .03 .251 +6189 .207 .014 .25 +6190 .206 -.002 .2 +6191 .201 .02 .216 +6192 .2 -.033 .204 +6193 .199 -.044 .201 +6194 .198 -.016 .166 +6195 .191 -.026 .229 +6196 .192 -.027 .225 +6197 .206 -.008 .189 +6198 .208 .031 .239 +6199 .208 .034 .248 +6200 .215 .005 .24 +6201 .222 .012 .234 +6202 .238 -.047 .245 +6203 .233 -.044 .264 +6204 .19 0 .274 +6205 .205 0 .273 +6206 .168 -.036 .231 +6207 .17 -.014 .25 +6208 .168 -.042 .206 +6209 .19 -.042 .185 +6210 .187 -.046 .178 +6211 .172 -.037 .246 +6212 .183 -.016 .275 +6213 .181 -.033 .201 +6214 .184 0 .268 +6215 .189 .002 .274 +6216 .213 -.014 .269 +6217 .216 -.027 .257 +6218 .2 -.088 .165 +6219 .221 -.055 .249 +6220 .22 -.043 .24 +6221 .21 -.024 .29 +6222 .213 -.036 .265 +6223 .205 -.058 .2 +6224 .188 -.032 .222 +6225 .182 -.017 .235 +6226 .183 -.062 .235 +6227 .182 -.048 .199 +6228 .201 -.03 .309 +6229 .183 -.04 .207 +6230 .191 -.011 .256 +6231 .197 -.024 .285 +6232 .214 -.052 .252 +6233 .218 -.063 .248 +6234 .224 -.079 .212 +6235 .219 -.049 .242 +6236 .215 -.045 .242 +6237 .183 -.037 .195 +6238 .212 -.045 .206 +6239 .276 -.102 .176 +6240 .186 -.086 .132 +6241 .194 -.038 .19 +6242 .192 -.052 .269 +6243 .232 -.06 .301 +6244 .186 -.05 .192 +6245 .214 -.044 .23 +6246 .217 -.045 .243 +6247 .219 -.044 .215 +6248 .208 -.075 .214 +6249 .23 -.03 .248 +6250 .232 -.008 .278 +6251 .256 -.038 .301 +6252 .245 -.009 .298 +6253 .228 -.033 .268 +6254 .242 -.008 .31 +6255 .221 -.021 .318 +6256 .235 -.022 .308 +6257 .21 -.036 .244 +6258 .205 -.021 .288 +6259 .19 -.006 .305 +6260 .196 -.002 .307 +6261 .21 -.021 .279 +6262 .2 -.019 .278 +6263 .206 -.021 .278 +6264 .188 -.023 .234 +6265 .203 -.053 .235 +6266 .189 -.022 .24 +6267 .201 -.048 .237 +6268 .198 -.009 .289 +6269 .189 -.045 .319 +6270 .2 -.012 .293 +6271 .189 -.024 .313 +6272 .216 -.015 .323 +6273 .19 .024 .299 +6274 .217 .006 .319 +6275 .219 .04 .302 +6276 .236 -.033 .315 +6277 .247 .026 .258 +6278 .242 -.017 .307 +6279 .248 .001 .293 +6280 .219 -.046 .297 +6281 .198 -.026 .296 +6282 .199 -.019 .281 +6283 .199 -.02 .267 +6284 .202 -.033 .249 +6285 .202 -.044 .242 +6286 .203 -.05 .234 +6287 .24 -.05 .299 +6288 .232 -.029 .133 +6289 .173 .009 .305 +6290 .169 .001 .303 +6291 .166 -.008 .3 +6292 .172 -.01 .31 +6293 .185 -.006 .306 +6294 .186 -.016 .322 +6295 .177 -.012 .323 +6296 .175 -.02 .319 +6297 .174 -.021 .313 +6298 .17 -.031 .306 +6299 .205 -.007 .33 +6300 .246 -.013 .284 +6301 .258 -.06 .273 +6302 .262 -.086 .251 +6303 .249 -.032 .288 +6304 .231 -.108 .11 +6305 .219 -.087 .178 +6306 .199 -.051 .199 +6307 .217 -.095 .183 +6308 .206 -.085 .193 +6309 .199 -.061 .204 +6310 .219 -.045 .217 +6311 .212 -.026 .224 +6312 .233 -.117 .092 +6313 .228 -.061 .211 +6314 .225 -.095 .192 +6315 .23 -.106 .137 +6316 .211 -.063 .195 +6317 .22 -.097 .15 +6318 .235 -.075 .252 +6319 .236 -.099 .218 +6320 .239 -.047 .248 +6321 .222 -.065 .211 +6322 .232 -.077 .213 +6323 .227 -.063 .231 +6324 .229 -.103 .08 +6325 .255 -.096 .136 +6326 .245 -.109 .085 +6327 .229 -.1 .079 +6328 .234 -.106 .096 +6329 .237 -.157 .175 +6330 .186 -.009 .124 +6331 .229 -.124 .164 +6332 .236 -.14 .184 +6333 .238 -.123 .192 +6334 .224 -.169 .194 +6335 .087 .687 -.099 +6336 .249 -.142 .221 +6337 .261 -.113 .242 +6338 .188 -.054 .177 +6339 .23 -.076 .196 +6340 .235 -.087 .181 +6341 .22 -.087 .178 +6342 .197 -.078 .178 +6343 .218 -.074 .158 +6344 .229 -.096 .176 +6345 .196 -.062 .159 +6346 .242 -.08 .154 +6347 .227 -.09 .152 +6348 .251 -.053 .122 +6349 .243 -.073 .112 +6350 .239 -.113 .071 +6351 .234 -.109 .078 +6352 .235 -.095 .095 +6353 .226 -.085 .016 +6354 .235 -.117 .017 +6355 .244 -.112 .013 +6356 .245 -.109 .03 +6357 .227 -.101 .019 +6358 .213 -.078 .046 +6359 .226 -.063 .028 +6360 .184 .008 .14 +6361 .189 -.048 .129 +6362 .212 -.092 .146 +6363 .25 -.053 .149 +6364 .178 -.057 .036 +6365 .213 -.061 .081 +6366 .224 -.057 .036 +6367 .184 -.024 .106 +6368 .208 -.072 .148 +6369 .209 -.057 .172 +6370 .22 -.034 .206 +6371 .218 -.089 .011 +6372 .215 -.051 .164 +6373 .267 -.076 .194 +6374 .19 -.047 .142 +6375 .225 -.045 .041 +6376 .203 -.058 .134 +6377 .222 -.076 .147 +6378 .251 -.068 .132 +6379 .201 -.05 .067 +6380 .239 -.118 .202 +6381 .2 -.019 .174 +6382 .209 -.024 .208 +6383 .184 -.036 .16 +6384 .23 -.039 .209 +6385 .232 -.041 .207 +6386 .227 -.046 .187 +6387 .222 -.05 .103 +6388 .202 -.068 .169 +6389 .183 -.06 .215 +6390 .064 .688 -.12 +6391 .226 -.13 .161 +6392 .106 .721 -.052 +6393 .115 .721 -.043 +6394 .128 .712 -.041 +6395 .152 .703 -.033 +6396 .189 .707 -.012 +6397 .223 .751 .03 +6398 .257 .848 .083 +6399 .286 1.006 .108 +6400 .271 1.048 .081 +6401 .262 1.078 .043 +6402 .219 1.014 .029 +6403 .153 .922 .053 +6404 .099 .839 .078 +6405 .051 .773 .091 +6406 .046 .724 .091 +6407 .065 .665 .023 +6408 .099 .647 .027 +6409 .136 .654 .036 +6410 .188 .592 .047 +6411 .255 .501 .049 +6412 .298 .374 .041 +6413 .302 .222 .058 +6414 .206 -.057 .051 +6415 .185 -.135 .086 +6416 .155 -.132 .09 +6417 .196 .013 .108 +6418 .261 .002 .267 +6419 .279 .005 .291 +6420 .286 -.008 .291 +6421 .263 -.075 .268 +6422 .284 -.039 .292 +6423 .214 -.027 .249 +6424 .207 -.03 .252 +6425 .218 -.045 .246 +6426 .218 -.089 .209 +6427 .213 -.107 .188 +6428 .213 -.096 .189 +6429 .178 -.049 .194 +6430 .201 -.074 .196 +6431 0 .691 -.11 +6432 .167 0 .141 +6433 .174 -.027 .175 +6434 .18 -.093 .231 +6435 .177 -.041 .308 +6436 .168 -.043 .297 +6437 .233 -.14 .191 +6438 .204 -.081 .264 +6439 .178 -.066 .22 +6440 .259 -.043 .177 +6441 .245 -.125 .215 +6442 .229 -.098 .229 +6443 .274 -.099 .257 +6444 .285 -.058 .274 +6445 .28 -.027 .281 +6446 .267 -.007 .293 +6447 .253 -.004 .288 +6448 .18 .016 .308 +6449 .179 -.006 .318 +6450 .211 .032 .25 +6451 .192 .006 .253 +6452 .193 -.014 .277 +6453 .192 .027 .248 +6454 .21 -.018 .219 +6455 .197 -.029 .21 +6456 .202 -.027 .236 +6457 .237 -.017 .226 +6458 .213 -.026 .207 +6459 .247 -.016 .242 +6460 .2 -.016 .254 +6461 .205 -.011 .205 +6462 .203 -.012 .214 +6463 .191 -.027 .217 +6464 .24 -.012 .26 +6465 .197 -.007 .216 +6466 .219 -.007 .23 +6467 .209 .01 .233 +6468 .237 .003 .249 +6469 .199 -.004 .235 +6470 .198 -.003 .227 +6471 .202 .006 .214 +6472 .194 -.014 .245 +6473 .196 -.004 .257 +6474 .214 -.016 .267 +6475 .214 -.016 .267 +6476 .215 -.016 .269 +6477 .214 -.016 .276 +6478 .213 -.015 .276 +6479 .215 -.017 .274 +6480 .211 0 .271 +6481 .21 -.001 .272 +6482 .211 -.005 .273 +6483 .212 -.014 .27 +6484 .214 -.013 .273 +6485 .213 -.008 .271 +6486 .213 -.009 .27 +6487 .213 -.005 .27 +6488 .216 -.011 .272 +6489 .215 -.013 .275 +6490 .213 -.015 .276 +6491 .21 -.01 .275 +6492 .214 -.015 .27 +6493 .214 -.015 .269 +6494 .212 -.005 .266 +6495 .211 -.003 .263 +6496 .211 0 .262 +6497 .212 -.016 .275 +6498 .212 -.016 .273 +6499 .212 -.005 .271 +6500 .211 .012 .257 +6501 .212 .005 .26 +6502 .212 0 .26 +6503 .211 .009 .261 +6504 .21 .016 .258 +6505 .208 .019 .266 +6506 .213 -.005 .263 +6507 .212 -.012 .268 +6508 .212 -.011 .268 +6509 .212 -.011 .268 +6510 .211 .005 .261 +6511 .213 -.015 .271 +6512 .213 -.005 .262 +6513 .214 -.007 .263 +6514 .214 -.012 .264 +6515 .214 -.013 .265 +6516 .214 -.015 .269 +6517 .215 -.014 .27 +6518 .214 -.014 .27 +6519 .215 -.015 .271 +6520 .207 .018 .267 +6521 .207 .011 .269 +6522 .21 0 .27 +6523 .215 -.016 .269 +6524 .212 .015 .255 +6525 .212 .002 .259 +6526 .213 0 .26 +6527 .212 -.012 .274 +6528 .212 -.014 .272 +6529 .212 -.014 .271 +6530 .212 -.015 .27 +6531 .214 -.009 .265 +6532 .214 -.012 .266 +6533 .214 -.012 .266 +6534 .214 -.013 .27 +6535 .215 -.012 .27 +6536 .214 -.012 .272 +6537 .215 -.011 .272 +6538 .213 -.005 .27 +6539 .211 .001 .268 +6540 .211 .005 .267 +6541 .207 .019 .263 +6542 .211 -.014 .27 +6543 .213 -.013 .269 +6544 .212 -.012 .269 +6545 .213 -.007 .272 +6546 .213 -.008 .272 +6547 .213 -.006 .271 +6548 .209 .009 .262 +6549 .215 -.016 .271 +6550 .214 -.017 .272 +6551 .215 -.017 .273 +6552 .211 -.006 .267 +6553 .209 .005 .263 +6554 .208 .009 .269 +6555 .211 0 .27 +6556 .211 .005 .269 +6557 .209 .009 .269 +6558 .209 .018 .264 +6559 .209 .006 .268 +6560 .211 0 .268 +6561 .215 -.017 .271 +6562 .214 -.017 .271 +6563 .214 -.017 .27 +6564 .215 -.018 .27 +6565 .21 -.008 .27 +6566 .212 -.011 .271 +6567 .211 -.013 .272 +6568 .211 -.009 .271 +6569 .211 -.012 .271 +6570 .211 -.012 .272 +6571 .211 -.01 .271 +6572 .21 -.008 .27 +6573 .21 -.005 .27 +6574 .21 -.007 .272 +6575 .21 -.006 .269 +6576 .21 -.007 .268 +6577 .21 -.01 .27 +6578 .21 -.008 .269 +6579 .21 -.01 .272 +6580 .211 -.007 .268 +6581 .211 -.013 .272 +6582 .211 -.013 .272 +6583 .209 -.004 .273 +6584 .21 -.01 .273 +6585 .21 -.011 .274 +6586 .212 -.013 .272 +6587 .21 -.005 .274 +6588 .211 -.014 .273 +6589 .21 -.012 .271 +6590 .211 -.011 .272 +6591 .211 -.009 .271 +6592 .21 -.009 .27 +6593 .212 -.013 .272 +6594 .212 -.012 .272 +6595 .209 -.008 .272 +6596 .211 -.007 .268 +6597 .211 -.008 .269 +6598 .21 -.005 .269 +6599 .209 -.002 .273 +6600 .21 -.005 .273 +6601 .211 -.009 .271 +6602 .211 -.011 .272 +6603 .21 -.009 .271 +6604 .211 -.009 .272 +6605 .21 -.006 .269 +6606 .21 -.009 .271 +6607 .21 -.008 .272 +6608 .211 -.008 .27 +6609 .211 -.009 .272 +6610 .211 -.01 .27 +6611 .21 -.007 .27 +6612 .21 -.006 .269 +6613 .212 -.013 .273 +6614 .212 -.012 .272 +6615 .209 -.003 .27 +6616 .21 -.009 .274 +6617 .21 -.013 .271 +6618 .211 -.008 .272 +6619 .211 -.013 .272 +6620 .211 -.007 .272 +6621 .211 -.012 .272 +6622 .211 -.012 .272 +6623 .209 -.003 .27 +6624 .211 -.007 .272 +6625 .211 -.005 .269 +6626 .211 -.004 .267 +6627 .209 -.001 .268 +6628 .21 -.005 .271 +6629 .209 0 .272 +6630 .209 -.001 .272 +6631 .21 -.002 .266 +6632 .21 -.005 .268 +6633 .209 0 .27 +6634 .21 -.004 .271 +6635 .21 -.005 .268 +6636 .211 0 .266 +6637 .208 0 .267 +6638 .21 -.003 .27 +6639 .21 .002 .269 +6640 .209 0 .271 +6641 .209 0 .266 +6642 .211 -.004 .267 +6643 .21 .001 .27 +6644 .21 -.002 .271 +6645 .21 0 .266 +6646 .209 0 .265 +6647 .208 0 .267 +6648 .209 -.002 .269 +6649 .209 .002 .27 +6650 .209 0 .271 +6651 .21 0 .266 +6652 .21 -.002 .269 +6653 .21 .002 .269 +6654 .21 -.002 .27 +6655 .211 0 .265 +6656 .209 0 .264 +6657 .208 .003 .266 +6658 .208 0 .268 +6659 .208 .003 .27 +6660 .209 .002 .271 +6661 .209 0 .266 +6662 .209 0 .268 +6663 .209 .002 .269 +6664 .209 0 .27 +6665 .209 -.004 .273 +6666 .21 -.006 .274 +6667 .209 -.007 .271 +6668 .21 -.006 .268 +6669 .209 -.002 .273 +6670 .21 -.006 .267 +6671 .21 -.004 .267 +6672 .21 -.003 .269 +6673 .21 -.006 .269 +6674 .21 -.003 .271 +6675 .21 0 .272 +6676 .208 -.003 .274 +6677 .209 -.004 .274 +6678 .211 -.01 .271 +6679 .209 -.003 .274 +6680 .211 -.005 .268 +6681 .21 -.004 .267 +6682 .211 0 .265 +6683 .211 -.011 .274 +6684 .212 -.015 .274 +6685 .211 -.007 .268 +6686 .211 -.006 .268 +6687 .211 -.006 .268 +6688 .21 0 .264 +6689 .211 -.014 .272 +6690 .209 .001 .27 +6691 .212 -.014 .272 +6692 .211 -.012 .272 +6693 .211 -.011 .271 +6694 .211 -.009 .27 +6695 .211 -.009 .27 +6696 .211 -.007 .27 +6697 .21 -.006 .267 +6698 .209 .001 .271 +6699 .208 .002 .27 +6700 .208 .014 .261 +6701 .208 .007 .269 +6702 .209 .007 .269 +6703 .213 -.012 .272 +6704 .204 -.028 .235 +6705 .202 -.023 .192 +6706 .203 -.019 .184 +6707 .201 -.031 .187 +6708 .218 -.042 .212 +6709 .228 -.041 .203 +6710 .229 .013 .216 +6711 .22 .016 .219 +6712 .212 .005 .22 +6713 .211 .011 .211 +6714 .217 .029 .213 +6715 .224 .04 .218 +6716 .225 .046 .217 +6717 .223 .033 .201 +6718 .223 .01 .178 +6719 .221 .013 .174 +6720 .2 -.023 .2 +6721 .202 -.033 .206 +6722 .241 -.026 .284 +6723 .246 -.032 .284 +6724 .222 -.036 .271 +6725 .213 -.021 .258 +6726 .212 -.019 .246 +6727 .205 -.038 .206 +6728 .207 -.037 .208 +6729 .206 -.025 .213 +6730 .207 -.025 .216 +6731 .209 -.022 .221 +6732 .208 -.015 .242 +6733 .212 0 .155 +6734 .205 -.019 .17 +6735 .197 -.02 .223 +6736 .132 .954 .13 +6737 .198 .967 .133 +6738 .257 .963 .118 +6739 .289 .956 .113 +6740 .293 .95 .13 +6741 .271 .94 .116 +6742 .208 .923 .095 +6743 .135 .874 .041 +6744 .053 .813 .026 +6745 .023 .777 .018 +6746 .037 .784 .018 +6747 .018 .798 .002 +6748 -.024 .847 -.046 +6749 -.042 .876 -.01 +6750 -.011 .887 .008 +6751 .023 .898 -.032 +6752 .026 .915 -.05 +6753 .02 .928 -.017 +6754 .022 .931 .087 +6755 .081 .945 .16 +6756 .01 .903 .061 +6757 .012 .904 .064 +6758 .004 .903 .019 +6759 .004 .901 .028 +6760 .004 .9 .032 +6761 .006 .902 .047 +6762 .01 .904 .06 +6763 .01 .902 .062 +6764 .003 .912 .054 +6765 .004 .914 .056 +6766 .005 .913 .059 +6767 .004 .91 .06 +6768 .007 .91 .066 +6769 .003 .91 .055 +6770 0 .907 .018 +6771 .009 .916 .06 +6772 .01 .918 .064 +6773 .008 .908 .067 +6774 .008 .919 .062 +6775 .007 .905 .065 +6776 .006 .916 .062 +6777 0 .913 .046 +6778 -.002 .909 .029 +6779 .002 .908 .017 +6780 .003 .907 .016 +6781 .003 .905 .017 +6782 .008 .913 .056 +6783 .002 .907 .018 +6784 -.012 .904 .062 +6785 -.011 .904 .066 +6786 -.012 .903 .065 +6787 -.011 .902 .068 +6788 -.012 .903 .065 +6789 -.01 .902 .069 +6790 -.009 .905 .058 +6791 -.01 .901 .061 +6792 -.012 .9 .061 +6793 -.002 .902 .046 +6794 -.007 .901 .053 +6795 -.007 .901 .057 +6796 .002 .9 .031 +6797 0 .896 .033 +6798 -.003 .899 .041 +6799 0 .9 .023 +6800 -.002 .9 .03 +6801 -.003 .902 .033 +6802 .003 .9 .019 +6803 -.002 .9 .02 +6804 -.003 .902 .026 +6805 .002 .904 .016 +6806 0 .903 .018 +6807 -.002 .902 .022 +6808 .003 .903 .014 +6809 0 .905 .013 +6810 -.002 .906 .019 +6811 .002 .904 .013 +6812 0 .905 .012 +6813 0 .907 .02 +6814 .003 .903 .015 +6815 .004 .904 .015 +6816 0 .905 .017 +6817 .005 .904 .029 +6818 .003 .904 .025 +6819 0 .907 .02 +6820 0 .905 .048 +6821 -.004 .902 .045 +6822 -.005 .905 .041 +6823 -.009 .912 .047 +6824 -.005 .907 .052 +6825 -.003 .909 .06 +6826 -.01 .912 .05 +6827 -.005 .91 .058 +6828 -.009 .911 .065 +6829 -.007 .912 .054 +6830 -.006 .912 .059 +6831 -.01 .911 .065 +6832 -.006 .911 .059 +6833 -.003 .909 .06 +6834 -.011 .91 .061 +6835 -.008 .912 .058 +6836 -.007 .911 .056 +6837 -.008 .91 .057 +6838 -.01 .905 .067 +6839 -.01 .903 .065 +6840 -.009 .902 .066 +6841 -.007 .905 .069 +6842 -.008 .903 .069 +6843 -.009 .902 .069 +6844 -.008 .907 .065 +6845 -.008 .906 .061 +6846 -.008 .904 .064 +6847 -.007 .909 .053 +6848 -.008 .908 .046 +6849 -.012 .909 .045 +6850 -.006 .909 .05 +6851 -.008 .909 .046 +6852 -.009 .911 .042 +6853 -.005 .911 .05 +6854 -.008 .907 .047 +6855 -.008 .908 .044 +6856 -.007 .911 .053 +6857 -.007 .909 .051 +6858 -.008 .91 .049 +6859 -.008 .923 .025 +6860 -.011 .925 .035 +6861 -.014 .927 .039 +6862 -.015 .928 .044 +6863 -.009 .926 .045 +6864 -.003 .924 .054 +6865 -.008 .924 .057 +6866 -.004 .909 .053 +6867 -.003 .907 .042 +6868 0 .905 .035 +6869 0 .905 .032 +6870 0 .909 .033 +6871 0 .916 .034 +6872 -.006 .921 .027 +6873 -.007 .908 .072 +6874 -.012 .909 .075 +6875 -.007 .908 .067 +6876 -.006 .908 .062 +6877 -.013 .905 .069 +6878 -.007 .904 .069 +6879 -.005 .909 .066 +6880 -.008 .913 .045 +6881 -.011 .911 .034 +6882 -.01 .911 .035 +6883 -.008 .914 .044 +6884 -.007 .907 .054 +6885 -.007 .906 .054 +6886 -.007 .909 .061 +6887 -.005 .913 .058 +6888 -.009 .923 .041 +6889 -.013 .92 .03 +6890 -.013 .919 .033 +6891 -.012 .926 .037 +6892 -.005 .923 .049 +6893 -.007 .924 .038 +6894 -.009 .919 .032 +6895 -.007 .917 .031 +6896 -.008 .925 .035 +6897 -.003 .925 .045 +6898 -.007 .912 .04 +6899 -.007 .905 .032 +6900 0 .909 .033 +6901 -.003 .917 .039 +6902 -.003 .919 .045 +6903 -.003 .892 .094 +6904 -.007 .9 .028 +6905 -.006 .896 .03 +6906 -.004 .889 .044 +6907 -.002 .893 .063 +6908 -.002 .902 .031 +6909 0 .885 .077 +6910 -.003 .892 .025 +6911 -.002 .892 .032 +6912 0 .887 .04 +6913 .002 .885 .054 +6914 -.003 .887 .024 +6915 -.015 .937 .031 +6916 -.021 .938 .029 +6917 -.023 .941 .028 +6918 -.021 .941 .028 +6919 -.015 .94 .029 +6920 -.008 .937 .036 +6921 -.014 .936 .045 +6922 0 .907 .056 +6923 0 .909 .05 +6924 0 .906 .043 +6925 -.002 .908 .043 +6926 -.003 .913 .044 +6927 -.006 .922 .042 +6928 -.012 .934 .035 +6929 -.007 .907 .08 +6930 -.014 .907 .082 +6931 -.007 .91 .074 +6932 -.007 .911 .069 +6933 -.01 .907 .073 +6934 -.005 .91 .066 +6935 -.003 .918 .058 +6936 -.005 .913 .056 +6937 0 .91 .062 +6938 .003 .907 .067 +6939 -.019 .957 .036 +6940 -.004 .893 .103 +6941 -.005 .879 .111 +6942 0 .921 .055 +6943 -.004 .914 .052 +6944 0 .901 .043 +6945 0 .883 .03 +6946 -.007 .898 .088 +6947 -.012 .896 .089 +6948 -.005 .905 .086 +6949 .003 .909 .08 +6950 -.008 .901 .074 +6951 -.001 .908 .066 +6952 -.004 .904 .105 +6953 -.012 .898 .101 +6954 .004 .908 .104 +6955 .016 .911 .091 +6956 -.005 .901 .083 +6957 -.005 .905 .066 +6958 -.018 .931 .074 +6959 -.032 .949 .029 +6960 -.01 .956 .021 +6961 -.01 .914 .053 +6962 -.012 .918 .055 +6963 -.015 .928 .056 +6964 -.013 .918 .07 +6965 -.003 .914 .07 +6966 .008 .914 .072 +6967 -.032 .952 .019 +6968 -.034 .948 .028 +6969 -.017 .92 .068 +6970 -.025 .926 .066 +6971 -.025 .933 .069 +6972 -.025 .954 .05 +6973 -.016 .949 .033 +6974 -.002 .914 .08 +6975 0 .896 .099 +6976 0 .879 .107 +6977 -.009 .93 .06 +6978 -.009 .942 .021 +6979 .002 .91 .117 +6980 -.003 .912 .101 +6981 .01 .917 .112 +6982 .021 .928 .096 +6983 -.005 .92 .079 +6984 -.002 .91 .067 +6985 -.01 .927 .074 +6986 0 .925 .071 +6987 .014 .929 .074 +6988 -.04 .947 .042 +6989 -.009 .913 .089 +6990 -.018 .929 .079 +6991 -.029 .933 .078 +6992 -.036 .939 .077 +6993 -.032 .961 .06 +6994 -.034 .938 .057 +6995 -.002 .9 .047 +6996 .006 .925 .108 +6997 .003 .921 .088 +6998 .006 .931 .108 +6999 .019 .939 .095 +7000 .017 .915 .013 +7001 0 .933 .06 +7002 .008 .936 .098 +7003 .006 .931 .08 +7004 .003 .94 .097 +7005 .01 .945 .087 +7006 .006 .922 .065 +7007 0 .924 .048 +7008 .012 .933 .058 +7009 .004 .938 .035 +7010 .018 .929 .058 +7011 .026 .929 .047 +7012 0 .932 .052 +7013 -.03 .924 .045 +7014 .022 .949 .023 +7015 .026 .953 .011 +7016 -.004 .894 .062 +7017 .01 .906 .049 +7018 -.032 .888 .054 +7019 -.053 .896 .051 +7020 .028 .935 .033 +7021 .029 .938 .022 +7022 0 .938 .074 +7023 .014 .931 .068 +7024 .021 .938 .072 +7025 -.018 .941 .077 +7026 -.025 .941 .081 +7027 -.035 .945 .081 +7028 -.035 .961 .066 +7029 .007 .942 .063 +7030 .019 .939 .057 +7031 .024 .945 .068 +7032 -.008 .944 .071 +7033 -.028 .917 .043 +7034 -.027 .919 .038 +7035 -.031 .925 .039 +7036 -.028 .915 .048 +7037 -.027 .91 .045 +7038 -.026 .899 .045 +7039 -.035 .884 .058 +7040 -.058 .905 .038 +7041 -.068 .9 .048 +7042 -.082 .893 .042 +7043 -.007 .91 .073 +7044 -.004 .907 .073 +7045 -.006 .891 .083 +7046 -.003 .869 .097 +7047 0 .876 .101 +7048 0 .904 .081 +7049 -.004 .892 .064 +7050 -.002 .918 .053 +7051 -.012 .926 .013 +7052 -.017 .935 .019 +7053 -.013 .927 .009 +7054 .006 .916 .042 +7055 -.015 .911 .03 +7056 0 .914 .046 +7057 -.004 .91 .008 +7058 0 .887 .102 +7059 .002 .874 .107 +7060 -.003 .87 .096 +7061 -.003 .871 .095 +7062 -.002 .892 .08 +7063 -.004 .896 .082 +7064 -.005 .912 .078 +7065 0 .911 .081 +7066 -.003 .904 .076 +7067 -.003 .9 .08 +7068 -.009 .913 .08 +7069 -.007 .912 .08 +7070 -.002 .906 .082 +7071 -.003 .902 .082 +7072 -.007 .915 .065 +7073 -.007 .911 .065 +7074 -.007 .908 .073 +7075 -.003 .906 .068 +7076 0 .915 .054 +7077 0 .904 .055 +7078 -.006 .909 .06 +7079 -.002 .907 .058 +7080 -.012 .91 .021 +7081 0 .915 .02 +7082 -.012 .911 .03 +7083 -.007 .917 .042 +7084 -.009 .913 .045 +7085 -.008 .918 .024 +7086 -.013 .918 .028 +7087 -.014 .911 .031 +7088 -.016 .916 .018 +7089 -.006 .912 .071 +7090 -.006 .913 .073 +7091 -.005 .911 .076 +7092 -.007 .919 .063 +7093 0 .921 .05 +7094 0 .922 .04 +7095 -.006 .908 .033 +7096 -.009 .913 .034 +7097 -.005 .898 .071 +7098 .002 .917 .013 +7099 -.003 .912 0 +7100 -.004 .887 .073 +7101 -.009 .919 .013 +7102 -.011 .922 .005 +7103 -.002 .901 .053 +7104 0 .901 .048 +7105 -.012 .911 .037 +7106 -.007 .911 .048 +7107 -.013 .918 .035 +7108 -.012 .906 .038 +7109 0 .907 .072 +7110 -.003 .907 .076 +7111 0 .906 .073 +7112 0 .916 .063 +7113 0 .928 .048 +7114 0 .927 .038 +7115 -.01 .917 .038 +7116 0 .855 .068 +7117 -.002 .868 .052 +7118 0 .861 .061 +7119 -.015 .902 .033 +7120 .007 .906 .045 +7121 -.002 .904 .036 +7122 -.009 .879 .041 +7123 -.018 .878 .048 +7124 0 .912 .06 +7125 0 .914 .058 +7126 -.002 .913 .057 +7127 -.002 .907 .069 +7128 -.023 .883 .048 +7129 -.01 .878 .04 +7130 -.007 .903 .04 +7131 -.006 .889 .043 +7132 -.004 .871 .049 +7133 -.006 .884 .042 +7134 -.013 .855 .058 +7135 -.012 .862 .051 +7136 -.017 .89 .055 +7137 -.02 .871 .055 +7138 -.026 .881 .051 +7139 -.004 .878 .036 +7140 -.002 .881 .04 +7141 -.01 .915 .038 +7142 -.007 .92 .042 +7143 -.009 .92 .037 +7144 -.01 .908 .038 +7145 -.004 .904 .069 +7146 -.006 .908 .071 +7147 -.007 .916 .071 +7148 -.006 .925 .06 +7149 -.007 .934 .048 +7150 -.006 .925 .04 +7151 -.009 .922 .038 +7152 -.006 .919 .058 +7153 -.009 .927 .047 +7154 -.008 .928 .04 +7155 -.009 .922 .062 +7156 -.008 .929 .055 +7157 -.009 .935 .043 +7158 -.008 .924 .066 +7159 0 .891 .038 +7160 .001 .892 .038 +7161 -.006 .893 .044 +7162 -.011 .879 .041 +7163 -.013 .88 .043 +7164 -.011 .886 .045 +7165 -.009 .89 .047 +7166 -.004 .896 .038 +7167 -.021 .887 .045 +7168 -.018 .883 .043 +7169 -.003 .859 .046 +7170 -.012 .871 .043 +7171 -.015 .878 .041 +7172 -.017 .885 .04 +7173 -.014 .876 .037 +7174 -.019 .887 .035 +7175 -.013 .879 .03 +7176 -.016 .895 .029 +7177 -.004 .891 .025 +7178 -.012 .894 .033 +7179 -.004 .899 .019 +7180 -.013 .892 .031 +7181 0 .895 .027 +7182 -.009 .883 .04 +7183 -.01 .879 .046 +7184 -.02 .892 .04 +7185 -.008 .885 .038 +7186 -.01 .88 .045 +7187 -.021 .893 .038 +7188 -.011 .883 .039 +7189 -.011 .881 .042 +7190 -.016 .893 .034 +7191 -.011 .882 .041 +7192 -.011 .879 .043 +7193 -.013 .893 .031 +7194 -.009 .884 .038 +7195 -.01 .88 .04 +7196 -.012 .891 .03 +7197 -.006 .899 .035 +7198 -.007 .893 .041 +7199 -.011 .891 .042 +7200 -.01 .89 .043 +7201 -.011 .886 .044 +7202 -.01 .884 .042 +7203 -.011 .886 .039 +7204 -.009 .89 .037 +7205 -.008 .886 .032 +7206 -.006 .894 .032 +7207 -.012 .869 .033 +7208 -.012 .87 .027 +7209 0 .89 .017 +7210 -.005 .878 .04 +7211 0 .86 .035 +7212 0 .858 .021 +7213 .005 .886 .011 +7214 -.002 .88 .043 +7215 0 .864 .041 +7216 0 .861 .031 +7217 .002 .855 .018 +7218 .006 .888 .012 +7219 -.003 .871 .033 +7220 0 .866 .022 +7221 .005 .894 .013 +7222 0 .878 .034 +7223 0 .873 .024 +7224 .008 .898 .012 +7225 .003 .901 .009 +7226 .006 .907 .007 +7227 .006 .906 .013 +7228 .005 .905 .017 +7229 .005 .906 .02 +7230 0 .901 .035 +7231 -.002 .896 .03 +7232 -.005 .896 .038 +7233 -.003 .896 .038 +7234 0 .909 .034 +7235 .005 .917 .028 +7236 .004 .9 .021 +7237 .004 .901 .028 +7238 .005 .905 .025 +7239 .005 .909 .031 +7240 .004 .911 .025 +7241 .01 .924 .024 +7242 .003 .9 .027 +7243 .003 .904 .026 +7244 .008 .912 .024 +7245 .01 .916 .028 +7246 -.008 .887 .027 +7247 -.017 .892 .032 +7248 -.019 .894 .038 +7249 -.011 .885 .038 +7250 -.011 .881 .041 +7251 -.008 .891 .042 +7252 -.011 .885 .041 +7253 -.004 .881 .022 +7254 .004 .872 .017 +7255 .004 .872 .017 +7256 .003 .88 .02 +7257 .005 .885 .022 +7258 -.005 .896 .035 +7259 .002 .904 .026 +7260 .006 .912 .022 +7261 .008 .894 .025 +7262 .008 .894 .024 +7263 .004 .896 .028 +7264 0 .899 .023 +7265 .007 .904 .028 +7266 0 .905 .03 +7267 .003 .89 .024 +7268 .007 .895 .02 +7269 -.008 .892 .029 +7270 -.002 .891 .029 +7271 -.007 .884 .035 +7272 -.004 .883 .035 +7273 -.009 .89 .03 +7274 -.004 .88 .037 +7275 -.006 .885 .034 +7276 .008 .897 .028 +7277 .007 .9 .025 +7278 .003 .893 .03 +7279 .003 .906 .027 +7280 .007 .907 .029 +7281 -.006 .897 .029 +7282 .003 .896 .027 +7283 .007 .897 .023 +7284 .018 .903 .037 +7285 .013 .899 .023 +7286 .021 .897 .033 +7287 .024 .891 .034 +7288 .018 .904 .036 +7289 .022 .879 .041 +7290 .019 .882 .039 +7291 .001 .893 .022 +7292 .006 .891 .023 +7293 .011 .892 .023 +7294 .004 .891 .034 +7295 .008 .892 .033 +7296 .015 .889 .036 +7297 .004 .901 .023 +7298 .002 .896 .023 +7299 .027 .915 .043 +7300 .023 .912 .044 +7301 .022 .902 .033 +7302 .025 .891 .032 +7303 .026 .914 .041 +7304 .024 .87 .043 +7305 .02 .873 .041 +7306 0 .895 .023 +7307 .005 .897 .029 +7308 .018 .906 .036 +7309 .004 .889 .03 +7310 .008 .891 .032 +7311 .015 .881 .037 +7312 0 .896 .021 +7313 .002 .896 .02 +7314 .036 .929 .049 +7315 .03 .924 .05 +7316 .022 .911 .032 +7317 .028 .895 .029 +7318 .035 .928 .046 +7319 .025 .865 .044 +7320 .021 .867 .042 +7321 0 .897 .033 +7322 .006 .902 .037 +7323 .02 .912 .045 +7324 .004 .888 .026 +7325 .009 .889 .029 +7326 .016 .878 .035 +7327 0 .897 .031 +7328 .002 .899 .03 +7329 .04 .945 .065 +7330 .031 .937 .072 +7331 .027 .918 .031 +7332 .03 .898 .025 +7333 .039 .944 .052 +7334 .026 .862 .042 +7335 .022 .866 .038 +7336 .003 .912 .053 +7337 .008 .912 .06 +7338 .021 .927 .076 +7339 .003 .884 .019 +7340 .01 .89 .023 +7341 .016 .878 .03 +7342 0 .905 .051 +7343 0 .907 .052 +7344 .018 .957 .051 +7345 .011 .953 .053 +7346 .024 .928 .029 +7347 .04 .912 .017 +7348 .023 .956 .049 +7349 .025 .879 .031 +7350 .021 .881 .025 +7351 -.003 .938 .054 +7352 -.002 .942 .054 +7353 .004 .947 .052 +7354 .004 .869 .011 +7355 .009 .89 .012 +7356 .014 .893 .017 +7357 -.005 .929 .053 +7358 -.004 .933 .054 +7359 .005 .98 .044 +7360 0 .979 .046 +7361 .029 .957 .029 +7362 .037 .927 .019 +7363 .017 .983 .041 +7364 .03 .911 .009 +7365 .018 .902 .008 +7366 -.006 .973 .052 +7367 -.005 .977 .051 +7368 0 .98 .049 +7369 .004 .844 0 +7370 .01 .865 .004 +7371 .014 .885 .006 +7372 -.008 .961 .05 +7373 -.007 .967 .051 +7374 .007 .994 .035 +7375 .004 .998 .036 +7376 .021 .962 .021 +7377 .027 .94 .008 +7378 .011 .987 .032 +7379 .022 .917 -.007 +7380 .019 .897 -.004 +7381 -.004 .992 .04 +7382 -.002 .997 .04 +7383 0 .999 .037 +7384 .005 .813 -.004 +7385 .011 .831 -.002 +7386 .016 .86 -.001 +7387 -.007 .98 .039 +7388 -.006 .987 .04 +7389 .015 .985 .016 +7390 .011 .987 .018 +7391 .03 .97 .002 +7392 .027 .961 -.007 +7393 .019 .981 .013 +7394 .022 .945 -.024 +7395 .021 .973 -.028 +7396 .002 .986 .021 +7397 .004 .988 .021 +7398 .009 .988 .018 +7399 0 .867 .007 +7400 .013 .962 -.041 +7401 .018 .96 -.033 +7402 0 .98 .021 +7403 0 .983 .021 +7404 .016 .993 -.006 +7405 .013 .993 -.005 +7406 .029 .991 -.017 +7407 .027 .992 -.023 +7408 .02 .993 -.009 +7409 .016 .987 -.033 +7410 .015 .983 -.039 +7411 .005 .993 -.002 +7412 .007 .99 .002 +7413 .011 .989 0 +7414 .004 .978 -.048 +7415 .008 .979 -.047 +7416 .012 .98 -.043 +7417 0 .992 -.002 +7418 .002 .993 -.002 +7419 .011 .999 -.025 +7420 .01 1.001 -.023 +7421 .017 .999 -.028 +7422 .016 .997 -.03 +7423 .012 .999 -.025 +7424 .012 .994 -.033 +7425 .011 .993 -.034 +7426 .003 1.001 -.023 +7427 .005 1 -.024 +7428 .008 1.001 -.023 +7429 .003 .992 -.037 +7430 .006 .991 -.035 +7431 .009 .993 -.036 +7432 0 .998 -.023 +7433 .002 1.001 -.023 +7434 -.022 .888 .058 +7435 0 .882 .036 +7436 .016 .947 .04 +7437 .018 .95 .059 +7438 .004 .949 .055 +7439 0 .942 .055 +7440 -.006 .932 .043 +7441 -.016 .927 .05 +7442 0 .936 .037 +7443 .007 .939 .05 +7444 -.012 .886 .046 +7445 0 .895 .036 +7446 .004 .901 .035 +7447 0 .88 .033 +7448 .007 .886 -.005 +7449 0 .879 -.005 +7450 -.003 .885 .031 +7451 .008 .89 .032 +7452 .004 .89 .034 +7453 .009 .883 .044 +7454 -.012 .886 .029 +7455 -.017 .884 .023 +7456 -.033 .891 .011 +7457 -.006 .847 -.009 +7458 .028 .921 -.019 +7459 0 .849 -.044 +7460 .01 .843 -.087 +7461 .012 .842 -.098 +7462 .002 .841 -.088 +7463 -.007 .857 -.04 +7464 .009 .864 -.01 +7465 .039 .821 -.047 +7466 .005 .86 -.004 +7467 .061 .834 -.044 +7468 .073 .784 -.054 +7469 .093 .802 -.06 +7470 .118 .77 -.04 +7471 .122 .777 -.055 +7472 .13 .769 -.013 +7473 .147 .772 -.037 +7474 .167 .805 .018 +7475 .178 .831 0 +7476 .18 .874 .042 +7477 .193 .906 .026 +7478 .191 .949 .06 +7479 .215 .994 .045 +7480 .038 .821 -.081 +7481 .034 .817 -.064 +7482 .06 .783 -.049 +7483 .075 .789 -.05 +7484 .115 .756 -.01 +7485 .126 .753 -.016 +7486 .145 .76 .025 +7487 .14 .768 -.002 +7488 .141 .773 .025 +7489 .163 .79 .022 +7490 .178 .819 .046 +7491 .173 .844 .042 +7492 .172 .866 .067 +7493 .201 .919 .061 +7494 .034 .817 -.087 +7495 .145 .756 .059 +7496 .139 .765 .056 +7497 .156 .795 .064 +7498 .16 .847 .065 +7499 .012 .83 0 +7500 .016 .818 .007 +7501 .006 .824 -.05 +7502 .01 .807 -.014 +7503 .018 .795 0 +7504 .02 .778 -.008 +7505 .017 .731 .072 +7506 .033 .728 .076 +7507 .047 .764 .064 +7508 .029 .677 .18 +7509 .08 .717 .135 +7510 .05 .685 .173 +7511 .069 .746 .057 +7512 .094 .725 .122 +7513 .026 .692 .152 +7514 .1 .708 .146 +7515 .048 .702 .149 +7516 .073 .718 .122 +7517 .106 .718 .133 +7518 .021 .704 .119 +7519 .086 .729 .104 +7520 .046 .716 .117 +7521 .074 .708 .148 +7522 .097 .74 .097 +7523 .021 .727 .078 +7524 .089 .758 .054 +7525 .048 .727 .075 +7526 .062 .703 .142 +7527 .096 .783 .045 +7528 .084 .806 -.068 +7529 .1 .775 -.073 +7530 .117 .768 -.07 +7531 .165 .856 -.035 +7532 .187 .93 0 +7533 .193 1.017 .029 +7534 .033 .822 -.061 +7535 .059 .79 -.067 +7536 .107 .788 -.072 +7537 .127 .849 -.045 +7538 .156 .918 -.007 +7539 .139 .975 .024 +7540 -.031 .833 -.04 +7541 -.005 .8 -.032 +7542 .034 .796 -.034 +7543 .066 .845 -.017 +7544 .106 .9 .003 +7545 .114 .952 .022 +7546 -.072 .847 .011 +7547 -.063 .814 0 +7548 -.021 .802 -.004 +7549 .011 .837 0 +7550 .066 .882 .013 +7551 .09 .924 .033 +7552 -.078 .861 .012 +7553 -.058 .822 .007 +7554 -.027 .807 -.006 +7555 -.008 .841 -.004 +7556 .069 .872 0 +7557 .091 .891 .019 +7558 -.041 .877 -.006 +7559 -.023 .832 -.019 +7560 -.002 .809 -.036 +7561 .01 .83 -.034 +7562 .049 .868 -.034 +7563 .075 .868 -.005 +7564 -.017 .918 -.01 +7565 0 .928 .006 +7566 -.004 .9 .006 +7567 0 .879 .02 +7568 -.017 .932 .017 +7569 0 .915 .002 +7570 -.005 .919 -.006 +7571 -.014 .921 -.014 +7572 -.019 .921 -.013 +7573 -.019 .921 -.013 +7574 -.018 .921 -.015 +7575 -.021 .921 -.013 +7576 -.036 .908 .01 +7577 -.006 .921 -.011 +7578 .005 .915 -.008 +7579 .027 .908 -.012 +7580 .047 .921 -.02 +7581 .053 .935 -.018 +7582 -.017 .872 0 +7583 -.015 .837 .008 +7584 -.033 .879 .006 +7585 -.054 .867 -.063 +7586 .046 .921 -.023 +7587 .084 .844 -.053 +7588 .042 .865 -.048 +7589 -.022 .879 -.028 +7590 -.053 .888 .01 +7591 -.064 .907 .009 +7592 -.046 .914 -.002 +7593 -.006 .856 -.014 +7594 -.004 .838 -.055 +7595 0 .833 -.065 +7596 .003 .841 -.049 +7597 -.006 .849 -.007 +7598 .01 .946 .086 +7599 0 .891 .029 +7600 -.002 .884 .035 +7601 -.002 .861 .106 +7602 -.024 .908 .049 +7603 -.035 .95 .048 +7604 -.028 .943 .062 +7605 -.025 .949 .037 +7606 -.017 .947 .045 +7607 -.038 .95 .035 +7608 -.027 .953 .039 +7609 -.028 .948 .052 +7610 -.033 .949 .015 +7611 -.013 .929 .051 +7612 -.039 .891 .036 +7613 -.014 .921 -.018 +7614 -.03 .858 .034 +7615 .003 .865 -.018 +7616 -.007 .881 .009 +7617 0 .842 -.007 +7618 -.01 .866 .012 +7619 -.008 .856 .012 +7620 0 .889 .011 +7621 .007 .892 .017 +7622 -.004 .86 -.029 +7623 -.005 .874 -.005 +7624 -.01 .864 -.008 +7625 .004 .819 -.029 +7626 .014 .773 .005 +7627 .017 .782 .005 +7628 .009 .816 -.009 +7629 .033 .825 -.086 +7630 .111 .742 .096 +7631 .122 .74 .099 +7632 .123 .776 .064 +7633 .14 .819 .069 +7634 -.026 .921 -.008 +7635 .053 .921 -.024 +7636 .061 .922 -.019 +7637 .057 .925 -.001 +7638 .022 .96 -.024 +7639 .008 .983 -.05 +7640 -.015 .998 -.06 +7641 -.016 1.022 -.061 +7642 .056 .921 -.013 +7643 .06 .924 -.009 +7644 .021 .948 -.029 +7645 .007 .975 -.059 +7646 -.02 .991 -.054 +7647 -.024 1.007 -.05 +7648 .046 .921 -.012 +7649 .034 .94 -.005 +7650 .008 .957 -.024 +7651 -.011 .977 -.05 +7652 -.024 .987 -.045 +7653 -.025 .998 -.038 +7654 .021 .912 -.021 +7655 .003 .948 .006 +7656 -.009 .972 -.016 +7657 -.017 .985 -.036 +7658 -.017 .984 -.011 +7659 -.007 .989 .002 +7660 .002 .933 .007 +7661 .003 .939 .013 +7662 -.015 .939 -.002 +7663 -.022 .924 -.006 +7664 -.031 .906 .019 +7665 -.009 .912 .023 +7666 -.049 .831 -.034 +7667 -.058 .867 -.016 +7668 -.065 .885 -.027 +7669 -.069 .885 .049 +7670 -.053 .889 -.012 +7671 -.048 .868 .002 +7672 -.036 .883 .065 +7673 -.027 .889 0 +7674 -.043 .917 .023 +7675 -.018 .921 -.004 +7676 -.017 .893 .064 +7677 -.003 .902 .033 +7678 .031 .93 .023 +7679 .025 .939 .018 +7680 -.064 .873 .002 +7681 -.067 .902 .005 +7682 -.058 .893 .021 +7683 -.071 .884 .014 +7684 .013 .849 -.001 +7685 .011 .844 0 +7686 .063 .869 -.015 +7687 .01 .847 -.023 +7688 .002 .848 -.038 +7689 0 .849 -.055 +7690 .036 .863 -.014 +7691 .014 .849 -.027 +7692 .018 .842 -.058 +7693 .027 .84 -.109 +7694 .02 .838 -.101 +7695 .024 .839 -.089 +7696 .077 .877 -.023 +7697 .056 .914 -.004 +7698 .054 .913 -.008 +7699 .043 .933 -.005 +7700 .018 .917 .003 +7701 -.007 .918 .031 +7702 -.042 .903 .02 +7703 -.059 .895 .025 +7704 -.075 .881 .014 +7705 -.082 .883 .017 +7706 -.055 .909 .004 +7707 .017 .927 .01 +7708 -.039 .909 -.037 +7709 .01 .83 -.041 +7710 .016 .894 -.053 +7711 .022 .848 -.065 +7712 -.013 .921 -.065 +7713 .021 .933 .024 +7714 .003 .991 -.015 +7715 .01 .933 -.057 +7716 -.027 .814 -.04 +7717 .007 .818 .002 +7718 -.003 1.019 -.054 +7719 0 1.023 -.075 +7720 .012 1.034 -.086 +7721 -.03 .862 -.073 +7722 .024 .822 -.091 +7723 .025 .823 -.088 +7724 .006 .848 -.049 +7725 .049 .788 -.044 +7726 .047 .795 -.035 +7727 .089 .765 .019 +7728 .078 .774 .038 +7729 .046 .743 .083 +7730 .041 .732 .08 +7731 -.005 .889 -.037 +7732 .033 .854 -.023 +7733 -.03 .864 -.081 +7734 -.01 .928 -.033 +7735 .006 1.029 -.075 +7736 .012 .819 -.061 +7737 .048 .848 -.031 +7738 .003 .99 .002 +7739 -.01 1.013 -.032 +7740 -.009 1.017 -.047 +7741 .023 .925 .02 +7742 -.011 .826 .004 +7743 .019 .831 -.065 +7744 -.029 .812 -.044 +7745 .002 .843 -.043 +7746 -.017 .917 -.048 +7747 -.012 .902 .058 +7748 -.009 .901 .058 +7749 -.008 .905 .061 +7750 -.006 .904 .048 +7751 -.004 .904 .036 +7752 0 .903 .029 +7753 -.002 .904 .025 +7754 0 .905 .023 +7755 0 .906 .023 +7756 -.003 .908 .02 +7757 0 .91 .023 +7758 0 .91 .031 +7759 0 .912 .045 +7760 -.004 .917 .056 +7761 -.005 .917 .06 +7762 -.006 .919 .061 +7763 -.007 .916 .057 +7764 -.003 .914 .06 +7765 -.008 .901 .057 +7766 -.004 .903 .062 +7767 -.005 .908 .072 +7768 0 .911 .068 +7769 0 .911 .066 +7770 0 .912 .064 +7771 -.001 .914 .063 +7772 -.003 .909 .071 +7773 -.011 .907 .067 +7774 -.011 .907 .07 +7775 -.008 .907 .06 +7776 -.005 .906 .048 +7777 -.003 .905 .04 +7778 0 .907 .036 +7779 0 .907 .035 +7780 -.002 .909 .036 +7781 -.002 .911 .036 +7782 -.002 .912 .035 +7783 0 .912 .032 +7784 0 .91 .035 +7785 0 .912 .051 +7786 -.005 .911 .067 +7787 -.008 .913 .073 +7788 -.008 .912 .075 +7789 -.009 .914 .069 +7790 -.005 .916 .068 +7791 -.01 .908 .071 +7792 -.008 .908 .073 +7793 -.005 .911 .075 +7794 0 .913 .074 +7795 0 .914 .072 +7796 0 .913 .071 +7797 0 .916 .069 +7798 -.002 .911 .074 +7799 -.012 .901 .076 +7800 -.01 .901 .079 +7801 -.01 .903 .071 +7802 -.01 .904 .063 +7803 -.008 .905 .056 +7804 -.005 .905 .05 +7805 -.004 .908 .048 +7806 -.004 .91 .047 +7807 -.003 .911 .048 +7808 -.003 .913 .035 +7809 -.003 .915 .037 +7810 -.004 .915 .041 +7811 -.005 .914 .046 +7812 -.012 .923 .052 +7813 -.01 .915 .067 +7814 -.01 .916 .067 +7815 -.009 .917 .067 +7816 -.008 .916 .068 +7817 -.01 .902 .079 +7818 -.008 .905 .078 +7819 -.008 .908 .076 +7820 -.007 .913 .072 +7821 -.006 .914 .072 +7822 -.006 .915 .07 +7823 -.007 .917 .071 +7824 -.008 .91 .074 +7825 -.012 .903 .083 +7826 -.01 .901 .084 +7827 -.013 .901 .078 +7828 -.013 .904 .072 +7829 -.012 .906 .069 +7830 -.009 .908 .066 +7831 -.007 .909 .064 +7832 -.005 .91 .064 +7833 -.004 .913 .063 +7834 -.005 .917 .06 +7835 -.006 .92 .058 +7836 -.006 .921 .057 +7837 -.01 .921 .059 +7838 -.01 .924 .061 +7839 -.011 .922 .061 +7840 -.009 .923 .061 +7841 -.008 .921 .06 +7842 -.009 .921 .063 +7843 -.009 .904 .084 +7844 -.009 .905 .081 +7845 -.007 .909 .079 +7846 -.006 .914 .074 +7847 -.006 .917 .072 +7848 -.007 .919 .07 +7849 -.007 .921 .068 +7850 -.007 .912 .076 +7851 -.012 .906 .089 +7852 -.011 .903 .089 +7853 -.012 .905 .086 +7854 -.014 .905 .081 +7855 -.014 .909 .078 +7856 -.01 .913 .075 +7857 -.009 .914 .072 +7858 -.008 .914 .07 +7859 -.008 .917 .069 +7860 -.009 .921 .066 +7861 -.009 .925 .061 +7862 -.01 .927 .061 +7863 -.011 .927 .062 +7864 -.012 .93 .06 +7865 -.011 .928 .059 +7866 -.009 .93 .06 +7867 -.009 .928 .061 +7868 -.007 .924 .065 +7869 -.008 .908 .087 +7870 -.008 .906 .085 +7871 -.008 .912 .081 +7872 -.007 .916 .075 +7873 -.006 .92 .073 +7874 -.007 .922 .07 +7875 -.007 .924 .068 +7876 -.006 .915 .079 +7877 -.012 .908 .091 +7878 -.01 .906 .091 +7879 -.013 .909 .089 +7880 -.014 .908 .086 +7881 -.015 .914 .081 +7882 -.013 .917 .078 +7883 -.012 .918 .076 +7884 -.011 .918 .073 +7885 -.011 .92 .072 +7886 -.011 .925 .068 +7887 -.012 .93 .064 +7888 -.013 .93 .064 +7889 -.014 .932 .063 +7890 -.012 .933 .061 +7891 -.01 .931 .06 +7892 -.01 .932 .061 +7893 -.009 .931 .062 +7894 -.007 .927 .065 +7895 -.009 .908 .09 +7896 -.007 .908 .087 +7897 -.007 .914 .083 +7898 -.006 .918 .076 +7899 -.006 .922 .074 +7900 -.006 .924 .071 +7901 -.006 .927 .068 +7902 -.007 .917 .079 +7903 -.012 .911 .091 +7904 -.006 .923 .075 +7905 -.012 .912 .09 +7906 -.007 .916 .084 +7907 -.014 .916 .083 +7908 -.015 .918 .08 +7909 -.012 .92 .075 +7910 -.011 .923 .074 +7911 -.01 .935 .062 +7912 -.013 .93 .067 +7913 -.014 .932 .066 +7914 -.013 .935 .064 +7915 -.012 .936 .062 +7916 -.01 .934 .061 +7917 -.012 .927 .07 +7918 -.009 .933 .064 +7919 -.007 .93 .066 +7920 -.013 .92 .078 +7921 -.008 .912 .087 +7922 -.01 .912 .09 +7923 -.013 .911 .088 +7924 -.006 .921 .077 +7925 -.01 .909 .091 +7926 -.006 .926 .072 +7927 -.006 .929 .069 +7928 -.007 .92 .081 +7929 -.011 .913 .091 +7930 -.006 .925 .076 +7931 -.013 .914 .091 +7932 -.007 .918 .085 +7933 -.014 .918 .085 +7934 -.014 .921 .082 +7935 -.015 .923 .077 +7936 -.015 .926 .075 +7937 -.01 .937 .063 +7938 -.014 .934 .068 +7939 -.014 .934 .067 +7940 -.013 .937 .065 +7941 -.012 .938 .063 +7942 -.01 .936 .063 +7943 -.013 .928 .072 +7944 -.009 .935 .065 +7945 -.007 .931 .067 +7946 -.014 .922 .079 +7947 -.008 .914 .088 +7948 -.009 .914 .09 +7949 -.014 .914 .088 +7950 -.007 .922 .078 +7951 -.01 .911 .091 +7952 -.007 .928 .073 +7953 -.007 .931 .07 +7954 -.006 .921 .081 +7955 -.012 .916 .092 +7956 -.007 .926 .077 +7957 -.012 .918 .091 +7958 -.008 .92 .085 +7959 -.014 .921 .086 +7960 -.014 .924 .084 +7961 -.015 .927 .078 +7962 -.014 .93 .077 +7963 -.01 .939 .064 +7964 -.015 .936 .071 +7965 -.014 .936 .069 +7966 -.013 .939 .067 +7967 -.012 .941 .065 +7968 -.01 .939 .064 +7969 -.015 .932 .074 +7970 -.008 .937 .066 +7971 -.008 .933 .068 +7972 -.014 .926 .081 +7973 -.008 .918 .088 +7974 -.009 .917 .091 +7975 -.013 .917 .089 +7976 -.006 .924 .079 +7977 -.01 .915 .092 +7978 -.007 .929 .074 +7979 -.007 .932 .071 +7980 -.007 .923 .082 +7981 -.011 .92 .091 +7982 -.007 .929 .078 +7983 -.012 .921 .09 +7984 -.008 .924 .086 +7985 -.014 .924 .086 +7986 -.014 .926 .085 +7987 -.014 .929 .08 +7988 -.015 .932 .078 +7989 -.009 .941 .067 +7990 -.014 .938 .072 +7991 -.014 .939 .07 +7992 -.012 .94 .068 +7993 -.012 .941 .067 +7994 -.01 .941 .067 +7995 -.014 .934 .076 +7996 -.009 .939 .068 +7997 -.008 .936 .07 +7998 -.014 .928 .082 +7999 -.008 .922 .088 +8000 -.009 .921 .09 +8001 -.013 .921 .089 +8002 -.006 .928 .08 +8003 -.01 .919 .091 +8004 -.007 .932 .076 +8005 -.007 .934 .073 +8006 -.007 .926 .083 +8007 -.011 .942 .076 +8008 -.012 .942 .074 +8009 -.011 .942 .073 +8010 -.011 .942 .073 +8011 -.012 .94 .078 +8012 -.01 .942 .075 +8013 -.01 .941 .076 +8014 -.012 .936 .083 +8015 -.01 .933 .086 +8016 -.01 .931 .087 +8017 -.011 .932 .086 +8018 -.009 .936 .082 +8019 -.011 .93 .087 +8020 -.009 .939 .079 +8021 -.01 .94 .078 +8022 -.01 .935 .083 +8023 -.012 .94 .077 +8024 -.01 .942 .075 +8025 -.007 .942 .07 +8026 -.013 .938 .076 +8027 -.008 .931 .083 +8028 -.008 .938 .075 +8029 -.008 .936 .077 +8030 -.01 .926 .089 +8031 -.007 .932 .081 +8032 -.012 .927 .088 +8033 -.008 .927 .087 +8034 -.008 .927 .085 +8035 -.013 .933 .083 +8036 -.008 .941 .071 +8037 -.007 .942 .069 +8038 -.013 .937 .078 +8039 -.01 .942 .07 +8040 -.012 .943 .071 +8041 -.012 .942 .072 +8042 -.012 .94 .074 +8043 -.014 .94 .075 +8044 -.01 .943 .07 +8045 -.014 .935 .079 +8046 -.013 .934 .081 +8047 .058 .771 .21 +8048 .021 .666 .209 +8049 .056 .612 .188 +8050 .149 .574 .136 +8051 .193 .557 .121 +8052 .196 .55 .117 +8053 .168 .545 .124 +8054 .176 .554 .116 +8055 .183 .565 .105 +8056 .196 .588 .083 +8057 -.005 .631 .075 +8058 -.011 .667 .095 +8059 .028 .763 .187 +8060 .082 .622 .042 +8061 .126 .606 .06 +8062 .157 .576 .107 +8063 .168 .534 .12 +8064 .185 .505 .109 +8065 .2 .51 .107 +8066 .213 .545 .093 +8067 -.036 .632 -.019 +8068 -.041 .655 .029 +8069 -.025 .695 .172 +8070 .03 .641 -.037 +8071 .065 .624 -.025 +8072 .118 .571 .049 +8073 .172 .506 .094 +8074 .22 .476 .106 +8075 .253 .477 .122 +8076 .272 .513 .111 +8077 .01 .701 -.067 +8078 .025 .704 -.013 +8079 .066 .718 .152 +8080 .017 .686 -.078 +8081 .04 .682 -.06 +8082 .069 .605 -.004 +8083 .086 .527 .034 +8084 .153 .502 .081 +8085 .199 .477 .115 +8086 .246 .515 .115 +8087 .091 .717 -.029 +8088 .077 .723 -.022 +8089 .064 .79 .114 +8090 .074 .738 -.052 +8091 .062 .759 -.068 +8092 .156 .649 .189 +8093 .104 .523 .235 +8094 .138 .445 .206 +8095 .256 .369 .13 +8096 .238 .444 .16 +8097 .241 .47 .211 +8098 .247 .483 .183 +8099 .258 .484 .133 +8100 .283 .458 .07 +8101 .316 .462 .011 +8102 .178 .653 .135 +8103 .141 .481 .17 +8104 .197 .416 .15 +8105 .31 .279 .089 +8106 .319 .286 .053 +8107 .27 .338 -.009 +8108 .194 .492 .103 +8109 .205 .349 .062 +8110 .196 .313 .028 +8111 .192 .366 .011 +8112 .204 .647 .115 +8113 .149 .498 .155 +8114 .202 .439 .121 +8115 .277 .337 .062 +8116 .31 .315 .03 +8117 .317 .292 -.009 +8118 .117 .736 .218 +8119 .054 .624 .242 +8120 .096 .544 .237 +8121 .187 .49 .17 +8122 .218 .51 .175 +8123 .211 .52 .174 +8124 .218 .519 .151 +8125 .232 .53 .133 +8126 .251 .553 .123 +8127 .279 .589 .065 +8128 .157 .648 .169 +8129 .13 .505 .212 +8130 .168 .42 .185 +8131 .296 .301 .108 +8132 .222 .408 .094 +8133 .23 .469 .132 +8134 .232 .443 .137 +8135 .231 .388 .103 +8136 .239 .377 .046 +8137 .236 .409 .003 +8138 .03 .718 .207 +8139 -.016 .716 .146 +8140 -.05 .655 .105 +8141 .016 .671 .074 +8142 .072 .753 .032 +8143 .126 .583 .221 +8144 .14 .561 .161 +8145 .166 .575 .137 +8146 .076 .676 .233 +8147 .136 .567 .202 +8148 .074 .799 -.051 +8149 .046 .786 -.027 +8150 .113 .855 .053 +8151 .104 .871 .066 +8152 .102 .9 .079 +8153 .08 .869 .047 +8154 .035 .855 .037 +8155 .09 .889 .027 +8156 .102 .921 .011 +8157 .099 .939 -.008 +8158 .024 .713 -.048 +8159 .03 .693 -.006 +8160 -.008 .612 .051 +8161 .013 .78 -.05 +8162 0 .648 .046 +8163 .017 .656 .051 +8164 .086 .965 .003 +8165 .069 .934 .082 +8166 .068 .913 .129 +8167 .047 .874 .142 +8168 .036 .818 .135 +8169 .044 .924 .11 +8170 .051 .956 .116 +8171 .041 .974 .101 +8172 .021 .987 .072 +8173 .011 .977 .045 +8174 .058 .94 .039 +8175 .111 .92 .049 +8176 .096 .874 .035 +8177 .023 .85 .01 +8178 .075 .849 .027 +8179 .069 .825 -.002 +8180 .019 .819 -.021 +8181 .09 .85 .022 +8182 .101 .894 .046 +8183 .072 .922 .039 +8184 .047 .952 .042 +8185 .057 .99 .049 +8186 .024 .706 .004 +8187 .099 1.007 .062 +8188 .107 .977 .075 +8189 .104 .954 .077 +8190 .049 .686 -.001 +8191 .045 .634 .057 +8192 .044 .738 -.029 +8193 .011 .778 -.049 +8194 .027 .757 -.028 +8195 .09 .83 0 +8196 .113 .935 .073 +8197 .093 .802 -.066 +8198 .003 .77 -.08 +8199 .054 .802 -.099 +8200 .006 .783 -.094 +8201 .068 .791 0 +8202 .047 .82 .004 +8203 .018 .845 .056 +8204 .026 .877 .089 +8205 .031 .762 -.009 +8206 0 .769 -.074 +8207 0 .77 -.056 +8208 .026 .733 -.009 +8209 .053 .609 .065 +8210 .082 .585 .081 +8211 .123 .639 .054 +8212 .186 .546 .11 +8213 .115 .522 .106 +8214 .064 .542 .074 +8215 .022 .586 .045 +8216 .029 .665 -.015 +8217 .083 .87 .024 +8218 .036 .858 .041 +8219 .088 .891 -.021 +8220 .117 .933 -.073 +8221 .134 .949 -.08 +8222 .131 .92 -.017 +8223 .109 .885 .085 +8224 .079 .845 .139 +8225 .065 .771 .159 +8226 .055 .741 .148 +8227 .101 .86 -.006 +8228 .052 .861 .023 +8229 .105 .876 -.073 +8230 .145 .937 -.135 +8231 .157 .923 -.126 +8232 .144 .887 -.032 +8233 .091 .834 .105 +8234 .022 .779 .187 +8235 -.043 .735 .217 +8236 -.049 .719 .204 +8237 .151 .833 -.052 +8238 .174 .78 -.117 +8239 .174 .771 -.155 +8240 .179 .772 -.208 +8241 .17 .734 -.279 +8242 .189 .729 -.369 +8243 .177 .872 -.16 +8244 .182 .804 -.186 +8245 .156 .77 -.207 +8246 .17 .808 -.339 +8247 .168 .804 -.377 +8248 .179 .791 -.43 +8249 .165 .905 -.178 +8250 .142 .815 -.23 +8251 .11 .79 -.219 +8252 .15 .797 -.396 +8253 .157 .799 -.415 +8254 .158 .8 -.422 +8255 .147 .872 -.175 +8256 .146 .831 -.256 +8257 .109 .812 -.278 +8258 .12 .795 -.306 +8259 .116 .795 -.329 +8260 .116 .806 -.331 +8261 .109 .847 -.032 +8262 .082 .839 -.116 +8263 .077 .832 -.144 +8264 .102 .781 -.224 +8265 .099 .778 -.238 +8266 .103 .784 -.275 +8267 .045 .876 .004 +8268 .048 .846 -.03 +8269 .055 .842 -.062 +8270 .073 .776 -.181 +8271 .067 .757 -.217 +8272 .058 .782 -.253 +8273 .078 .793 .114 +8274 .04 .829 .202 +8275 .014 .835 .2 +8276 0 .82 .219 +8277 .071 .796 .079 +8278 .065 .833 .161 +8279 .043 .845 .179 +8280 .051 .814 .209 +8281 .11 .758 0 +8282 .115 .766 -.083 +8283 .138 .737 -.109 +8284 .118 .531 -.146 +8285 .133 .482 -.152 +8286 .135 .478 -.187 +8287 .084 .805 .047 +8288 .083 .832 .118 +8289 .067 .82 .166 +8290 .104 .774 .191 +8291 .081 .777 .003 +8292 .102 .752 -.042 +8293 .156 .756 -.129 +8294 .121 .455 -.001 +8295 .127 .399 -.009 +8296 .138 .39 -.065 +8297 .115 .813 .015 +8298 .141 .787 .064 +8299 .147 .743 .1 +8300 .16 .712 .145 +8301 .128 .798 -.01 +8302 .141 .772 -.037 +8303 .135 .63 -.027 +8304 .138 .64 .015 +8305 .15 .408 .062 +8306 .146 .351 .037 +8307 .151 .807 .012 +8308 .153 .783 .049 +8309 .173 .768 .091 +8310 .158 .715 .142 +8311 .158 .778 -.003 +8312 .179 .724 -.037 +8313 .13 .634 -.057 +8314 .134 .631 -.031 +8315 .149 .57 .006 +8316 .181 .813 -.002 +8317 .19 .803 .047 +8318 .198 .765 .095 +8319 .191 .717 .128 +8320 .182 .774 -.041 +8321 .186 .707 -.064 +8322 .182 .521 -.065 +8323 .198 .486 -.076 +8324 .231 .423 -.046 +8325 .209 .516 .066 +8326 .227 .799 -.004 +8327 .235 .796 .031 +8328 .241 .748 .078 +8329 .226 .697 .108 +8330 .23 .76 -.029 +8331 .226 .695 -.065 +8332 .22 .465 -.056 +8333 .254 .434 -.042 +8334 .285 .344 -.048 +8335 .207 .48 .02 +8336 .169 .585 .055 +8337 .15 .519 .098 +8338 .113 .557 -.08 +8339 .123 .75 -.031 +8340 .13 .559 .024 +8341 .121 .761 .122 +8342 .151 .71 .16 +8343 .124 .798 .093 +8344 .1 .809 .024 +8345 .101 .786 .008 +8346 .115 .48 .223 +8347 .086 .566 .241 +8348 .156 .659 .201 +8349 .241 .509 .201 +8350 .214 .496 .205 +8351 .219 .489 .199 +8352 .22 .443 .178 +8353 .113 .616 .227 +8354 .299 .521 .005 +8355 .276 .509 .096 +8356 .252 .53 .172 +8357 .156 .733 -.05 +8358 .186 .665 -.06 +8359 .191 .636 -.087 +8360 .225 .628 -.07 +8361 .16 .715 -.067 +8362 .161 .338 .03 +8363 .165 .597 -.315 +8364 .151 .585 -.253 +8365 .174 .639 -.182 +8366 .26 .609 .105 +8367 .155 .517 .132 +8368 .169 .493 .124 +8369 .229 .441 .069 +8370 .26 .409 .031 +8371 .269 .379 .004 +8372 .208 .561 .119 +8373 .326 .69 .002 +8374 .311 .689 .023 +8375 .302 .685 .051 +8376 .29 .655 .079 +8377 .318 .675 -.01 +8378 .304 .643 -.041 +8379 .251 .453 -.023 +8380 .251 .435 -.015 +8381 .277 .398 -.012 +8382 .283 .594 -.045 +8383 .319 .554 .091 +8384 .212 .492 .134 +8385 .214 .494 .137 +8386 .241 .475 .09 +8387 .239 .476 .058 +8388 .261 .467 .052 +8389 .254 .52 .11 +8390 .392 .571 .008 +8391 .377 .569 .02 +8392 .36 .573 .041 +8393 .341 .582 .067 +8394 .399 .568 0 +8395 .374 .551 -.009 +8396 .271 .488 .018 +8397 .266 .475 .027 +8398 .272 .478 .042 +8399 .333 .533 -.005 +8400 .354 .515 .091 +8401 .27 .484 .132 +8402 .264 .48 .136 +8403 .29 .479 .111 +8404 .292 .47 .081 +8405 .286 .473 .067 +8406 .306 .499 .112 +8407 .413 .526 .01 +8408 .394 .525 .024 +8409 .378 .527 .044 +8410 .369 .531 .063 +8411 .402 .518 .005 +8412 .391 .505 -.002 +8413 .289 .475 .02 +8414 .282 .473 .035 +8415 .284 .476 .053 +8416 .359 .497 .002 +8417 .386 .502 .091 +8418 .324 .476 .125 +8419 .325 .465 .132 +8420 .33 .466 .109 +8421 .316 .459 .092 +8422 .31 .452 .073 +8423 .36 .489 .111 +8424 .387 .492 .012 +8425 .392 .497 .028 +8426 .401 .504 .043 +8427 .404 .508 .068 +8428 .39 .486 .008 +8429 .374 .477 0 +8430 .309 .453 .024 +8431 .304 .45 .039 +8432 .309 .452 .056 +8433 .347 .468 .003 +8434 .209 .853 -.130 +8435 .202 .850 -.126 +8436 .193 .847 -.122 +8437 .183 .842 -.122 +8438 .175 .837 -.121 +8439 .167 .83 -.123 +8440 .162 .821 -.126 +8441 .161 .814 -.130 +8442 .166 .810 -.136 +8443 .174 .811 -.142 +8444 .185 .817 -.147 +8445 .195 .825 -.151 +8446 .203 .835 -.151 +8447 .210 .844 -.149 +8448 .213 .850 -.144 +8449 .213 .853 -.137 +8450 .212 .859 -.138 +8451 .215 .852 -.138 +8452 .212 .844 -.137 +8453 .206 .834 -.137 +8454 .197 .823 -.136 +8455 .187 .813 -.136 +8456 .176 .805 -.135 +8457 .167 .800 -.135 +8458 .167 .799 -.138 +8459 .166 .805 -.138 +8460 .170 .815 -.140 +8461 .177 .827 -.141 +8462 .186 .839 -.142 +8463 .195 .849 -.142 +8464 .205 .856 -.141 +8465 .213 .859 -.141 +8466 .204 .823 -.112 +8467 .199 .824 -.106 +8468 .190 .830 -.103 +8469 .181 .837 -.103 +8470 .173 .844 -.106 +8471 .164 .847 -.109 +8472 .159 .844 -.115 +8473 .157 .84 -.12 +8474 .161 .836 -.127 +8475 .169 .833 -.134 +8476 .178 .831 -.140 +8477 .185 .831 -.149 +8478 .193 .832 -.150 +8479 .200 .832 -.145 +8480 .205 .829 -.135 +8481 .206 .826 -.123 +8482 .219 .733 -.063 +8483 .235 .737 -.059 +8484 .242 .758 -.060 +8485 .241 .787 -.061 +8486 .238 .817 -.074 +8487 .220 .842 -.085 +8488 .202 .855 -.095 +8489 .183 .859 -.104 +8490 .171 .860 -.104 +8491 .16 .852 -.112 +8492 .156 .837 -.111 +8493 .146 .823 -.113 +8494 .151 .804 -.113 +8495 .164 .784 -.099 +8496 .180 .763 -.092 +8497 .199 .743 -.074 +8498 .245 .632 .025 +8499 .256 .628 .040 +8500 .263 .667 .034 +8501 .251 .732 .014 +8502 .218 .791 -.017 +8503 .196 .835 -.028 +8504 .183 .846 -.043 +8505 .184 .856 -.049 +8506 .164 .839 -.061 +8507 .168 .823 -.068 +8508 .160 .812 -.054 +8509 .158 .790 -.056 +8510 .189 .755 -.053 +8511 .207 .737 -.050 +8512 .219 .712 -.044 +8513 .230 .657 -.010 +8514 .265 .586 .070 +8515 .266 .591 .081 +8516 .252 .632 .076 +8517 .236 .714 .042 +8518 .204 .778 .004 +8519 .176 .839 -.022 +8520 .152 .852 -.035 +8521 .188 .84 -.037 +8522 .164 .821 -.034 +8523 .166 .788 -.045 +8524 .177 .764 -.047 +8525 .166 .751 -.021 +8526 .21 .712 -.025 +8527 .208 .653 .005 +8528 .229 .649 .002 +8529 .235 .618 .028 +8530 .287 .523 .103 +8531 .254 .533 .113 +8532 .213 .596 .094 +8533 .18 .721 .022 +8534 .158 .787 -.027 +8535 .135 .856 -.076 +8536 .104 .846 -.083 +8537 .174 .807 -.061 +8538 .151 .783 -.048 +8539 .126 .728 -.005 +8540 .179 .614 -.04 +8541 .225 .653 -.004 +8542 .242 .621 -.03 +8543 .258 .593 .01 +8544 .215 .601 .037 +8545 .223 .574 .062 +8546 .213 .707 -.044 +8547 .197 .736 -.067 +8548 .161 .846 -.095 +8549 .165 .852 -.085 +8550 .232 .691 -.024 +8551 .157 .832 -.082 +8552 .246 .696 -.016 +8553 .158 .812 -.092 +8554 .206 .839 -.058 +8555 .227 .805 -.042 +8556 .248 .721 -.018 +8557 .166 .780 -.080 +8558 .185 .85 -.072 +8559 .24 .763 -.027 +8560 .182 .759 -.067 +8561 .183 .857 -.082 +8562 .049 .728 -.053 +8563 .052 .82 -.096 +8564 .031 .915 -.138 +8565 -.007 .949 -.14 +8566 .641 .141 .53 +8567 .671 .111 .509 +8568 .671 .126 .518 +8569 .657 .14 .526 +8570 .655 .158 .509 +8571 .667 .148 .5 +8572 .666 .134 .493 +8573 .642 .156 .515 +8574 .637 .166 .501 +8575 .659 .148 .477 +8576 .663 .158 .483 +8577 .653 .171 .486 +8578 .662 .162 .476 +8579 .655 .15 .471 +8580 .638 .171 .49 +8581 .651 .167 .497 +8582 .637 .155 .515 +8583 .638 .14 .53 +8584 .652 .146 .467 +8585 .655 .146 .476 +8586 .658 .132 .491 +8587 .665 .111 .508 +8588 .631 .167 .489 +8589 .633 .164 .501 +8590 .648 .112 .558 +8591 .655 .119 .55 +8592 .648 .105 .562 +8593 .666 .096 .547 +8594 .664 .094 .552 +8595 .654 .095 .562 +8596 .664 .111 .544 +8597 .66 .116 .546 +8598 .656 .096 .562 +8599 .659 .115 .548 +8600 .651 .105 .563 +8601 .663 .094 .554 +8602 .662 .11 .545 +8603 .665 .097 .55 +8604 .65 .11 .559 +8605 .665 .135 .523 +8606 .663 .155 .504 +8607 .66 .168 .481 +8608 .66 .163 .49 +8609 .655 .117 .551 +8610 .642 .122 .513 +8611 .641 .137 .499 +8612 .637 .152 .47 +8613 .636 .147 .482 +8614 .655 .121 .548 +8615 .645 .115 .554 +8616 .667 .095 .542 +8617 .665 .112 .542 +8618 .663 .093 .545 +8619 .644 .111 .556 +8620 .661 .119 .544 +8621 .647 .095 .557 +8622 .645 .102 .538 +8623 .665 .119 .54 +8624 .638 .121 .548 +8625 .664 .095 .53 +8626 .67 .112 .536 +8627 .67 .095 .53 +8628 .641 .124 .547 +8629 .655 .124 .544 +8630 .661 .145 .483 +8631 .662 .155 .491 +8632 .651 .164 .503 +8633 .656 .142 .482 +8634 .635 .161 .506 +8635 .639 .163 .507 +8636 .66 .161 .496 +8637 .636 .144 .492 +8638 .664 .152 .508 +8639 .659 .13 .494 +8640 .668 .144 .503 +8641 .666 .131 .495 +8642 .641 .132 .503 +8643 .664 .147 .512 +8644 .637 .15 .52 +8645 .658 .127 .496 +8646 .655 .129 .541 +8647 .64 .13 .542 +8648 .673 .098 .523 +8649 .671 .116 .532 +8650 .667 .099 .522 +8651 .637 .129 .541 +8652 .665 .123 .537 +8653 .644 .111 .53 +8654 .641 .13 .505 +8655 .638 .147 .523 +8656 .657 .146 .52 +8657 .642 .147 .523 +8658 .668 .14 .506 +8659 .656 .151 .516 +8660 .668 .128 .498 +8661 .643 .151 .52 +8662 .668 .122 .502 +8663 .668 .135 .51 +8664 .665 .143 .516 +8665 .661 .122 .5 +8666 .637 .157 .513 +8667 .642 .159 .512 +8668 .662 .157 .502 +8669 .64 .138 .497 +8670 .641 .136 .501 +8671 .637 .152 .518 +8672 .643 .153 .517 +8673 .656 .155 .513 +8674 .664 .138 .489 +8675 .665 .151 .496 +8676 .654 .16 .507 +8677 .657 .136 .488 +8678 .653 .135 .538 +8679 .674 .102 .519 +8680 .666 .102 .519 +8681 .662 .13 .533 +8682 .643 .116 .527 +8683 .64 .134 .539 +8684 .669 .12 .528 +8685 .638 .132 .539 +8686 .654 .132 .54 +8687 .674 .1 .521 +8688 .666 .101 .52 +8689 .663 .127 .536 +8690 .643 .114 .528 +8691 .64 .132 .541 +8692 .67 .117 .53 +8693 .638 .13 .54 +8694 .644 .097 .549 +8695 .64 .117 .55 +8696 .667 .112 .539 +8697 .662 .094 .537 +8698 .669 .095 .535 +8699 .662 .119 .542 +8700 .655 .124 .546 +8701 .642 .12 .549 +8702 .637 .129 .519 +8703 .637 .145 .506 +8704 .632 .156 .478 +8705 .631 .153 .491 +8706 .65 .099 .563 +8707 .652 .1 .564 +8708 .644 .1 .558 +8709 .639 .109 .542 +8710 .632 .151 .5 +8711 .636 .139 .509 +8712 .637 .136 .512 +8713 .64 .118 .534 +8714 .635 .146 .505 +8715 .637 .142 .509 +8716 .637 .124 .531 +8717 .638 .121 .533 +8718 .64 .105 .55 +8719 .653 .107 .523 +8720 .651 .109 .522 +8721 .648 .132 .497 +8722 .645 .136 .492 +8723 .651 .093 .544 +8724 .645 .14 .486 +8725 .654 .092 .552 +8726 .659 .095 .559 +8727 .643 .145 .478 +8728 .653 .105 .525 +8729 .649 .129 .498 +8730 .652 .097 .535 +8731 .65 .125 .501 +8732 .642 .146 .462 +8733 .648 .133 .495 +8734 .652 .114 .509 +8735 .659 .093 .558 +8736 .658 .115 .547 +8737 .657 .098 .562 +8738 .652 .104 .562 +8739 .661 .096 .554 +8740 .66 .11 .545 +8741 .663 .098 .551 +8742 .651 .109 .558 +8743 .655 .115 .55 +8744 .653 .101 .563 +8745 .66 .096 .559 +8746 .658 .104 .556 +8747 .658 .101 .56 +8748 .667 .096 .525 +8749 .672 .097 .526 +8750 .646 .107 .531 +8751 .656 .125 .542 +8752 .671 .113 .533 +8753 .666 .12 .538 +8754 .638 .125 .544 +8755 .64 .128 .544 +8756 .641 .112 .536 +8757 .653 .101 .528 +8758 .675 .101 .513 +8759 .695 .082 .484 +8760 .698 .092 .494 +8761 .686 .1 .51 +8762 .685 .124 .489 +8763 .696 .116 .477 +8764 .692 .105 .468 +8765 .672 .125 .494 +8766 .659 .144 .48 +8767 .684 .121 .453 +8768 .689 .134 .46 +8769 .675 .149 .462 +8770 .689 .143 .449 +8771 .676 .131 .444 +8772 .656 .149 .468 +8773 .675 .144 .474 +8774 .669 .122 .492 +8775 .671 .099 .513 +8776 .672 .126 .441 +8777 .679 .117 .452 +8778 .687 .102 .466 +8779 .689 .078 .483 +8780 .653 .144 .464 +8781 .656 .139 .477 +8782 .692 .068 .532 +8783 .695 .074 .524 +8784 .693 .063 .535 +8785 .702 .06 .517 +8786 .702 .054 .521 +8787 .698 .051 .533 +8788 .701 .069 .516 +8789 .698 .073 .519 +8790 .699 .053 .533 +8791 .697 .071 .52 +8792 .694 .063 .535 +8793 .702 .055 .523 +8794 .699 .068 .517 +8795 .702 .06 .519 +8796 .693 .067 .532 +8797 .694 .098 .502 +8798 .693 .12 .483 +8799 .685 .147 .457 +8800 .685 .14 .468 +8801 .694 .072 .524 +8802 .673 .085 .498 +8803 .67 .106 .476 +8804 .653 .127 .446 +8805 .66 .121 .46 +8806 .695 .076 .523 +8807 .689 .071 .529 +8808 .701 .061 .513 +8809 .701 .071 .514 +8810 .7 .056 .516 +8811 .688 .065 .533 +8812 .699 .075 .518 +8813 .69 .049 .529 +8814 .681 .063 .513 +8815 .699 .079 .515 +8816 .682 .077 .524 +8817 .693 .063 .504 +8818 .701 .074 .51 +8819 .698 .067 .503 +8820 .686 .079 .523 +8821 .693 .081 .519 +8822 .686 .118 .457 +8823 .689 .131 .466 +8824 .675 .141 .481 +8825 .681 .114 .455 +8826 .658 .137 .483 +8827 .662 .141 .484 +8828 .684 .138 .475 +8829 .661 .119 .467 +8830 .694 .116 .487 +8831 .688 .099 .468 +8832 .696 .11 .48 +8833 .693 .102 .47 +8834 .671 .1 .481 +8835 .694 .108 .492 +8836 .671 .113 .5 +8837 .689 .094 .472 +8838 .691 .085 .518 +8839 .682 .086 .521 +8840 .697 .071 .498 +8841 .7 .078 .505 +8842 .692 .068 .496 +8843 .679 .085 .521 +8844 .698 .083 .512 +8845 .677 .072 .505 +8846 .671 .092 .49 +8847 .671 .106 .505 +8848 .686 .107 .502 +8849 .675 .107 .506 +8850 .696 .105 .485 +8851 .687 .111 .496 +8852 .694 .097 .474 +8853 .675 .115 .501 +8854 .695 .09 .479 +8855 .697 .099 .488 +8856 .693 .104 .495 +8857 .687 .087 .478 +8858 .668 .126 .491 +8859 .67 .129 .492 +8860 .691 .125 .479 +8861 .668 .107 .474 +8862 .67 .103 .478 +8863 .67 .119 .495 +8864 .673 .121 .497 +8865 .686 .118 .491 +8866 .691 .108 .465 +8867 .695 .12 .473 +8868 .682 .128 .487 +8869 .686 .105 .465 +8870 .689 .092 .515 +8871 .697 .075 .492 +8872 .691 .073 .492 +8873 .696 .09 .507 +8874 .678 .078 .502 +8875 .679 .092 .518 +8876 .7 .084 .5 +8877 .676 .09 .518 +8878 .689 .089 .517 +8879 .698 .073 .495 +8880 .692 .071 .494 +8881 .698 .086 .509 +8882 .677 .075 .504 +8883 .681 .089 .519 +8884 .701 .082 .502 +8885 .677 .088 .519 +8886 .683 .054 .521 +8887 .685 .071 .527 +8888 .701 .071 .513 +8889 .696 .057 .511 +8890 .7 .063 .509 +8891 .698 .076 .517 +8892 .694 .078 .522 +8893 .687 .075 .526 +8894 .669 .09 .505 +8895 .669 .111 .482 +8896 .647 .137 .453 +8897 .656 .128 .468 +8898 .695 .055 .536 +8899 .697 .056 .535 +8900 .687 .054 .534 +8901 .678 .068 .518 +8902 .656 .127 .475 +8903 .668 .104 .488 +8904 .668 .098 .496 +8905 .675 .077 .512 +8906 .666 .113 .481 +8907 .668 .108 .485 +8908 .674 .084 .51 +8909 .675 .08 .511 +8910 .682 .059 .526 +8911 .682 .072 .498 +8912 .682 .074 .496 +8913 .675 .1 .473 +8914 .674 .104 .469 +8915 .688 .053 .516 +8916 .669 .114 .46 +8917 .694 .048 .523 +8918 .701 .052 .528 +8919 .666 .117 .454 +8920 .682 .069 .5 +8921 .675 .095 .476 +8922 .685 .061 .509 +8923 .677 .087 .483 +8924 .663 .125 .438 +8925 .676 .102 .471 +8926 .678 .082 .491 +8927 .7 .05 .528 +8928 .697 .07 .52 +8929 .7 .054 .532 +8930 .695 .061 .534 +8931 .702 .055 .524 +8932 .699 .068 .517 +8933 .701 .059 .521 +8934 .694 .065 .531 +8935 .694 .071 .524 +8936 .698 .056 .534 +8937 .701 .053 .529 +8938 .698 .063 .526 +8939 .699 .058 .53 +8940 .692 .067 .499 +8941 .698 .069 .5 +8942 .678 .069 .508 +8943 .692 .083 .518 +8944 .7 .077 .507 +8945 .698 .08 .514 +8946 .68 .083 .523 +8947 .684 .083 .522 +8948 .676 .073 .514 +8949 .683 .066 .502 +8950 .697 .091 .468 +8951 .71 .078 .444 +8952 .714 .084 .45 +8953 .706 .09 .461 +8954 .702 .113 .454 +8955 .709 .106 .439 +8956 .706 .1 .431 +8957 .692 .111 .46 +8958 .683 .124 .448 +8959 .698 .114 .419 +8960 .702 .124 .427 +8961 .69 .135 .434 +8962 .701 .132 .42 +8963 .687 .12 .409 +8964 .679 .129 .44 +8965 .694 .127 .44 +8966 .688 .108 .458 +8967 .694 .088 .465 +8968 .684 .114 .409 +8969 .694 .109 .419 +8970 .702 .096 .429 +8971 .707 .073 .441 +8972 .675 .125 .44 +8973 .68 .119 .446 +8974 .714 .05 .487 +8975 .716 .058 .478 +8976 .714 .044 .49 +8977 .721 .041 .471 +8978 .722 .036 .473 +8979 .716 .035 .484 +8980 .72 .054 .469 +8981 .719 .058 .473 +8982 .72 .036 .485 +8983 .718 .056 .474 +8984 .717 .043 .489 +8985 .723 .037 .475 +8986 .72 .053 .471 +8987 .723 .041 .474 +8988 .715 .048 .488 +8989 .712 .088 .455 +8990 .707 .11 .446 +8991 .698 .134 .428 +8992 .699 .126 .433 +8993 .716 .056 .479 +8994 .692 .077 .449 +8995 .685 .096 .438 +8996 .67 .116 .42 +8997 .677 .108 .427 +8998 .715 .06 .477 +8999 .71 .053 .486 +9000 .72 .043 .467 +9001 .72 .054 .467 +9002 .719 .037 .468 +9003 .708 .048 .487 +9004 .719 .06 .472 +9005 .709 .036 .48 +9006 .701 .048 .466 +9007 .718 .063 .468 +9008 .7 .063 .481 +9009 .715 .047 .456 +9010 .721 .058 .462 +9011 .719 .05 .457 +9012 .703 .067 .481 +9013 .713 .067 .475 +9014 .7 .111 .423 +9015 .703 .119 .43 +9016 .695 .123 .444 +9017 .696 .107 .421 +9018 .682 .118 .449 +9019 .686 .121 .452 +9020 .701 .122 .437 +9021 .678 .106 .429 +9022 .709 .107 .446 +9023 .702 .093 .43 +9024 .71 .103 .44 +9025 .708 .097 .433 +9026 .687 .093 .439 +9027 .71 .103 .447 +9028 .69 .103 .46 +9029 .703 .09 .432 +9030 .711 .074 .473 +9031 .701 .074 .477 +9032 .717 .057 .453 +9033 .719 .065 .459 +9034 .712 .054 .45 +9035 .697 .072 .477 +9036 .717 .069 .466 +9037 .699 .06 .458 +9038 .687 .091 .441 +9039 .69 .099 .46 +9040 .705 .102 .455 +9041 .694 .102 .463 +9042 .71 .099 .441 +9043 .704 .105 .455 +9044 .708 .094 .435 +9045 .693 .106 .462 +9046 .708 .09 .437 +9047 .712 .096 .443 +9048 .71 .099 .448 +9049 .703 .087 .434 +9050 .687 .111 .457 +9051 .691 .114 .458 +9052 .705 .113 .445 +9053 .684 .098 .437 +9054 .686 .095 .439 +9055 .688 .106 .458 +9056 .692 .109 .461 +9057 .703 .109 .455 +9058 .704 .104 .43 +9059 .706 .11 .438 +9060 .699 .115 .453 +9061 .7 .099 .427 +9062 .707 .081 .469 +9063 .715 .066 .449 +9064 .711 .061 .446 +9065 .715 .078 .462 +9066 .696 .066 .455 +9067 .7 .08 .473 +9068 .715 .073 .455 +9069 .696 .079 .473 +9070 .708 .078 .472 +9071 .715 .062 .451 +9072 .712 .058 .449 +9073 .715 .074 .465 +9074 .698 .062 .457 +9075 .701 .076 .476 +9076 .716 .069 .458 +9077 .696 .075 .475 +9078 .704 .041 .473 +9079 .704 .055 .483 +9080 .721 .056 .466 +9081 .718 .041 .463 +9082 .72 .046 .462 +9083 .719 .061 .47 +9084 .714 .064 .476 +9085 .707 .06 .483 +9086 .69 .081 .455 +9087 .684 .1 .448 +9088 .67 .122 .43 +9089 .675 .112 .436 +9090 .714 .037 .488 +9091 .718 .037 .488 +9092 .708 .04 .484 +9093 .698 .054 .472 +9094 .678 .109 .437 +9095 .686 .096 .448 +9096 .687 .094 .449 +9097 .696 .065 .466 +9098 .682 .102 .447 +9099 .685 .099 .448 +9100 .692 .071 .463 +9101 .695 .068 .465 +9102 .701 .046 .478 +9103 .703 .059 .452 +9104 .701 .062 .45 +9105 .692 .093 .432 +9106 .689 .096 .429 +9107 .709 .039 .468 +9108 .685 .104 .424 +9109 .712 .034 .474 +9110 .722 .035 .482 +9111 .683 .107 .422 +9112 .704 .056 .453 +9113 .693 .091 .433 +9114 .706 .045 .46 +9115 .693 .089 .435 +9116 .674 .114 .409 +9117 .69 .095 .431 +9118 .697 .075 .443 +9119 .719 .034 .48 +9120 .717 .055 .474 +9121 .72 .037 .485 +9122 .717 .044 .488 +9123 .723 .038 .477 +9124 .719 .052 .471 +9125 .723 .042 .475 +9126 .715 .048 .486 +9127 .715 .055 .479 +9128 .718 .039 .487 +9129 .721 .037 .482 +9130 .721 .045 .481 +9131 .721 .042 .483 +9132 .714 .051 .452 +9133 .717 .054 .454 +9134 .701 .055 .46 +9135 .712 .07 .473 +9136 .72 .061 .461 +9137 .719 .065 .467 +9138 .698 .068 .478 +9139 .702 .071 .479 +9140 .697 .06 .467 +9141 .706 .052 .454 +9142 .698 .087 .419 +9143 .704 .079 .399 +9144 .708 .084 .405 +9145 .706 .086 .413 +9146 .706 .103 .405 +9147 .708 .1 .397 +9148 .702 .093 .392 +9149 .695 .102 .412 +9150 .691 .114 .407 +9151 .697 .104 .386 +9152 .703 .113 .391 +9153 .698 .128 .395 +9154 .699 .123 .386 +9155 .693 .111 .381 +9156 .688 .12 .405 +9157 .7 .117 .399 +9158 .691 .099 .411 +9159 .693 .086 .42 +9160 .688 .106 .382 +9161 .692 .101 .386 +9162 .697 .09 .392 +9163 .701 .077 .398 +9164 .685 .115 .406 +9165 .687 .112 .407 +9166 .706 .058 .429 +9167 .708 .061 .423 +9168 .706 .054 .431 +9169 .711 .051 .416 +9170 .711 .048 .417 +9171 .709 .046 .425 +9172 .711 .057 .417 +9173 .71 .06 .419 +9174 .71 .047 .426 +9175 .71 .059 .42 +9176 .707 .054 .431 +9177 .712 .048 .418 +9178 .711 .057 .417 +9179 .712 .051 .417 +9180 .707 .057 .429 +9181 .709 .086 .409 +9182 .708 .102 .401 +9183 .7 .126 .391 +9184 .702 .116 .395 +9185 .708 .06 .423 +9186 .69 .078 .406 +9187 .687 .091 .4 +9188 .68 .108 .393 +9189 .683 .103 .395 +9190 .708 .063 .423 +9191 .704 .061 .429 +9192 .71 .052 .414 +9193 .71 .059 .415 +9194 .709 .049 .415 +9195 .702 .058 .431 +9196 .71 .062 .419 +9197 .703 .045 .424 +9198 .694 .06 .416 +9199 .71 .068 .418 +9200 .697 .069 .428 +9201 .704 .06 .407 +9202 .711 .066 .413 +9203 .707 .061 .407 +9204 .7 .07 .428 +9205 .708 .07 .423 +9206 .698 .102 .388 +9207 .704 .109 .393 +9208 .702 .113 .401 +9209 .694 .099 .387 +9210 .688 .108 .407 +9211 .692 .111 .408 +9212 .704 .112 .397 +9213 .684 .1 .396 +9214 .708 .099 .403 +9215 .698 .087 .393 +9216 .708 .096 .399 +9217 .703 .09 .394 +9218 .689 .086 .402 +9219 .709 .095 .405 +9220 .692 .093 .415 +9221 .699 .085 .395 +9222 .707 .078 .42 +9223 .699 .078 .425 +9224 .706 .069 .404 +9225 .71 .074 .41 +9226 .703 .067 .403 +9227 .696 .077 .424 +9228 .71 .077 .415 +9229 .693 .069 .413 +9230 .689 .083 .403 +9231 .693 .09 .417 +9232 .706 .091 .41 +9233 .697 .091 .417 +9234 .709 .093 .401 +9235 .706 .096 .408 +9236 .703 .087 .396 +9237 .696 .095 .415 +9238 .704 .084 .397 +9239 .709 .088 .403 +9240 .709 .091 .407 +9241 .699 .082 .396 +9242 .69 .102 .41 +9243 .695 .105 .411 +9244 .707 .105 .4 +9245 .686 .094 .398 +9246 .688 .088 .401 +9247 .691 .096 .413 +9248 .696 .098 .413 +9249 .706 .099 .407 +9250 .701 .095 .391 +9251 .707 .102 .396 +9252 .704 .106 .404 +9253 .696 .092 .39 +9254 .707 .082 .417 +9255 .706 .074 .402 +9256 .702 .072 .401 +9257 .709 .081 .412 +9258 .692 .073 .41 +9259 .698 .082 .423 +9260 .709 .079 .407 +9261 .695 .081 .422 +9262 .707 .08 .419 +9263 .705 .072 .403 +9264 .702 .07 .402 +9265 .71 .079 .414 +9266 .693 .071 .411 +9267 .699 .079 .424 +9268 .71 .077 .409 +9269 .696 .079 .423 +9270 .697 .05 .42 +9271 .699 .063 .43 +9272 .711 .062 .414 +9273 .708 .053 .411 +9274 .709 .055 .411 +9275 .711 .065 .418 +9276 .709 .068 .424 +9277 .701 .065 .428 +9278 .689 .08 .41 +9279 .687 .093 .403 +9280 .679 .114 .4 +9281 .683 .105 .399 +9282 .707 .048 .428 +9283 .709 .049 .428 +9284 .701 .048 .428 +9285 .692 .062 .421 +9286 .684 .102 .399 +9287 .687 .087 .406 +9288 .688 .084 .408 +9289 .691 .071 .418 +9290 .686 .096 .402 +9291 .687 .09 .405 +9292 .692 .076 .414 +9293 .691 .073 .416 +9294 .696 .053 .425 +9295 .695 .069 .406 +9296 .694 .072 .405 +9297 .69 .087 .398 +9298 .688 .093 .395 +9299 .7 .049 .415 +9300 .686 .098 .392 +9301 .706 .044 .419 +9302 .712 .046 .422 +9303 .684 .101 .391 +9304 .695 .067 .408 +9305 .691 .085 .399 +9306 .697 .058 .411 +9307 .692 .082 .4 +9308 .681 .105 .39 +9309 .689 .09 .396 +9310 .693 .077 .401 +9311 .711 .045 .421 +9312 .71 .058 .42 +9313 .712 .048 .425 +9314 .708 .053 .429 +9315 .711 .049 .419 +9316 .711 .056 .417 +9317 .712 .051 .418 +9318 .707 .056 .429 +9319 .708 .06 .423 +9320 .709 .05 .428 +9321 .713 .047 .422 +9322 .71 .054 .423 +9323 .71 .051 .424 +9324 .703 .065 .405 +9325 .706 .066 .406 +9326 .692 .067 .414 +9327 .707 .075 .421 +9328 .71 .07 .412 +9329 .71 .074 .417 +9330 .696 .074 .427 +9331 .7 .075 .426 +9332 .691 .069 .42 +9333 .695 .065 .409 +9334 .549 .183 .468 +9335 .587 .186 .485 +9336 .573 .192 .482 +9337 .552 .189 .473 +9338 .55 .177 .465 +9339 .584 .179 .478 +9340 .543 .166 .494 +9341 .549 .175 .491 +9342 .54 .161 .499 +9343 .576 .179 .507 +9344 .572 .171 .51 +9345 .557 .16 .509 +9346 .569 .181 .5 +9347 .559 .18 .494 +9348 .553 .162 .512 +9349 .558 .178 .494 +9350 .541 .163 .504 +9351 .565 .171 .513 +9352 .567 .18 .502 +9353 .57 .178 .509 +9354 .544 .168 .497 +9355 .56 .194 .478 +9356 .549 .174 .492 +9357 .57 .171 .467 +9358 .55 .176 .489 +9359 .542 .168 .49 +9360 .579 .179 .505 +9361 .571 .182 .499 +9362 .577 .172 .507 +9363 .54 .161 .492 +9364 .56 .182 .493 +9365 .559 .159 .503 +9366 .565 .16 .487 +9367 .56 .184 .49 +9368 .543 .164 .48 +9369 .582 .174 .497 +9370 .573 .184 .495 +9371 .584 .181 .499 +9372 .543 .171 .481 +9373 .549 .179 .485 +9374 .551 .183 .481 +9375 .545 .175 .476 +9376 .586 .182 .493 +9377 .574 .187 .491 +9378 .585 .176 .489 +9379 .546 .168 .473 +9380 .56 .188 .487 +9381 .568 .164 .477 +9382 .572 .173 .462 +9383 .552 .18 .46 +9384 .554 .192 .468 +9385 .552 .186 .464 +9386 .587 .188 .478 +9387 .573 .194 .476 +9388 .562 .197 .474 +9389 .585 .182 .472 +9390 .55 .187 .477 +9391 .586 .184 .488 +9392 .584 .178 .482 +9393 .56 .192 .482 +9394 .569 .167 .471 +9395 .547 .18 .472 +9396 .573 .189 .485 +9397 .548 .172 .468 +9398 .55 .185 .479 +9399 .586 .183 .491 +9400 .585 .177 .486 +9401 .559 .189 .486 +9402 .568 .166 .474 +9403 .546 .177 .475 +9404 .574 .188 .489 +9405 .547 .17 .471 +9406 .563 .159 .495 +9407 .541 .161 .485 +9408 .572 .183 .497 +9409 .58 .173 .502 +9410 .582 .18 .502 +9411 .561 .183 .491 +9412 .551 .178 .487 +9413 .543 .169 .486 +9414 .557 .17 .464 +9415 .545 .157 .504 +9416 .545 .162 .508 +9417 .547 .156 .498 +9418 .551 .158 .482 +9419 .56 .174 .459 +9420 .554 .163 .472 +9421 .557 .166 .467 +9422 .555 .164 .47 +9423 .549 .156 .489 +9424 .579 .172 .48 +9425 .579 .173 .478 +9426 .574 .166 .5 +9427 .571 .165 .506 +9428 .561 .166 .513 +9429 .579 .171 .484 +9430 .577 .167 .494 +9431 .58 .176 .467 +9432 .581 .176 .474 +9433 .565 .165 .51 +9434 .557 .177 .495 +9435 .552 .165 .511 +9436 .543 .165 .504 +9437 .563 .172 .512 +9438 .567 .179 .502 +9439 .569 .177 .507 +9440 .545 .168 .498 +9441 .549 .173 .492 +9442 .546 .164 .509 +9443 .56 .169 .513 +9444 .556 .173 .505 +9445 .553 .169 .509 +9446 .584 .174 .492 +9447 .585 .181 .496 +9448 .567 .164 .479 +9449 .549 .181 .482 +9450 .573 .186 .493 +9451 .56 .186 .489 +9452 .545 .166 .476 +9453 .544 .173 .478 +9454 .552 .16 .474 +9455 .578 .17 .486 +9456 .647 .143 .529 +9457 .673 .117 .514 +9458 .667 .141 .496 +9459 .647 .157 .513 +9460 .66 .155 .47 +9461 .646 .171 .489 +9462 .644 .167 .5 +9463 .662 .154 .48 +9464 .65 .118 .553 +9465 .665 .103 .544 +9466 .651 .115 .554 +9467 .663 .103 .546 +9468 .667 .103 .541 +9469 .649 .12 .551 +9470 .644 .165 .505 +9471 .662 .151 .487 +9472 .669 .133 .501 +9473 .648 .151 .518 +9474 .644 .126 .547 +9475 .674 .105 .526 +9476 .643 .131 .543 +9477 .669 .128 .505 +9478 .648 .147 .523 +9479 .672 .103 .532 +9480 .668 .137 .498 +9481 .649 .154 .516 +9482 .647 .159 .511 +9483 .665 .146 .493 +9484 .645 .136 .54 +9485 .674 .109 .522 +9486 .644 .134 .542 +9487 .674 .107 .524 +9488 .67 .103 .537 +9489 .646 .122 .549 +9490 .662 .104 .546 +9491 .651 .114 .554 +9492 .658 .108 .554 +9493 .674 .103 .529 +9494 .644 .129 .543 +9495 .68 .101 .512 +9496 .698 .086 .488 +9497 .696 .111 .471 +9498 .679 .125 .492 +9499 .681 .137 .441 +9500 .662 .151 .463 +9501 .666 .144 .479 +9502 .688 .128 .456 +9503 .692 .072 .528 +9504 .701 .065 .515 +9505 .693 .07 .528 +9506 .701 .065 .517 +9507 .701 .065 .512 +9508 .692 .075 .526 +9509 .667 .143 .484 +9510 .689 .124 .46 +9511 .696 .1 .479 +9512 .68 .113 .499 +9513 .689 .081 .521 +9514 .7 .074 .5 +9515 .687 .086 .519 +9516 .696 .094 .482 +9517 .68 .107 .504 +9518 .7 .07 .506 +9519 .696 .107 .475 +9520 .68 .12 .494 +9521 .677 .129 .49 +9522 .694 .114 .469 +9523 .685 .093 .517 +9524 .699 .08 .495 +9525 .685 .089 .518 +9526 .699 .077 .498 +9527 .701 .067 .509 +9528 .69 .077 .524 +9529 .7 .064 .518 +9530 .693 .07 .528 +9531 .698 .066 .523 +9532 .7 .072 .502 +9533 .687 .083 .52 +9534 .702 .091 .465 +9535 .712 .081 .446 +9536 .708 .103 .434 +9537 .696 .112 .458 +9538 .697 .132 .412 +9539 .681 .134 .436 +9540 .688 .126 .445 +9541 .701 .119 .422 +9542 .714 .055 .483 +9543 .721 .047 .469 +9544 .715 .053 .483 +9545 .722 .047 .471 +9546 .72 .049 .467 +9547 .713 .058 .481 +9548 .691 .123 .448 +9549 .702 .114 .425 +9550 .71 .096 .438 +9551 .698 .107 .46 +9552 .708 .068 .479 +9553 .718 .06 .455 +9554 .705 .075 .476 +9555 .71 .093 .44 +9556 .699 .103 .461 +9557 .72 .054 .46 +9558 .709 .1 .435 +9559 .696 .11 .459 +9560 .694 .115 .456 +9561 .706 .107 .434 +9562 .704 .081 .472 +9563 .715 .07 .452 +9564 .705 .078 .474 +9565 .716 .065 .454 +9566 .72 .051 .463 +9567 .71 .063 .481 +9568 .721 .047 .472 +9569 .716 .053 .483 +9570 .719 .049 .478 +9571 .72 .056 .457 +9572 .707 .071 .477 +9573 .702 .086 .417 +9574 .708 .082 .402 +9575 .707 .097 .395 +9576 .702 .103 .41 +9577 .698 .119 .384 +9578 .694 .128 .402 +9579 .697 .117 .403 +9580 .701 .109 .388 +9581 .707 .061 .427 +9582 .711 .054 .416 +9583 .707 .059 .426 +9584 .712 .054 .417 +9585 .711 .056 .414 +9586 .706 .063 .427 +9587 .698 .113 .405 +9588 .702 .105 .39 +9589 .707 .09 .398 +9590 .701 .095 .412 +9591 .704 .071 .426 +9592 .709 .072 .407 +9593 .704 .078 .423 +9594 .707 .086 .4 +9595 .702 .091 .414 +9596 .709 .063 .409 +9597 .707 .094 .397 +9598 .702 .1 .411 +9599 .701 .106 .408 +9600 .706 .1 .393 +9601 .703 .083 .42 +9602 .708 .077 .404 +9603 .703 .08 .421 +9604 .708 .074 .405 +9605 .71 .058 .411 +9606 .705 .067 .427 +9607 .711 .054 .417 +9608 .707 .058 .426 +9609 .709 .056 .422 +9610 .709 .069 .408 +9611 .704 .075 .425 +9612 .636 .135 .526 +9613 .635 .15 .513 +9614 .63 .163 .484 +9615 .631 .16 .497 +9616 .661 .092 .556 +9617 .651 .102 .564 +9618 .659 .112 .507 +9619 .653 .133 .492 +9620 .646 .143 .463 +9621 .65 .145 .476 +9622 .643 .105 .557 +9623 .638 .117 .546 +9624 .632 .157 .504 +9625 .636 .146 .517 +9626 .636 .143 .518 +9627 .637 .125 .539 +9628 .635 .152 .51 +9629 .636 .148 .514 +9630 .636 .13 .536 +9631 .637 .128 .538 +9632 .657 .093 .54 +9633 .649 .102 .563 +9634 .64 .113 .551 +9635 .658 .103 .521 +9636 .653 .13 .495 +9637 .652 .135 .49 +9638 .658 .104 .52 +9639 .651 .141 .483 +9640 .661 .094 .556 +9641 .659 .092 .547 +9642 .659 .102 .523 +9643 .657 .096 .532 +9644 .655 .123 .5 +9645 .654 .127 .497 +9646 .653 .102 .563 +9647 .661 .096 .557 +9648 .657 .099 .561 +9649 .638 .121 .541 +9650 .659 .098 .525 +9651 .669 .094 .51 +9652 .669 .116 .487 +9653 .649 .138 .459 +9654 .656 .133 .471 +9655 .701 .051 .524 +9656 .695 .059 .536 +9657 .684 .078 .486 +9658 .682 .101 .468 +9659 .669 .125 .44 +9660 .674 .116 .452 +9661 .687 .06 .534 +9662 .68 .073 .522 +9663 .656 .132 .479 +9664 .669 .109 .493 +9665 .668 .102 .502 +9666 .675 .081 .517 +9667 .666 .119 .486 +9668 .669 .113 .49 +9669 .674 .087 .515 +9670 .675 .085 .516 +9671 .692 .054 .514 +9672 .694 .058 .537 +9673 .682 .064 .528 +9674 .688 .07 .495 +9675 .682 .098 .47 +9676 .681 .104 .466 +9677 .688 .072 .493 +9678 .676 .111 .455 +9679 .702 .053 .526 +9680 .698 .05 .52 +9681 .687 .068 .498 +9682 .69 .061 .505 +9683 .683 .085 .478 +9684 .682 .093 .473 +9685 .696 .059 .535 +9686 .701 .053 .527 +9687 .7 .056 .531 +9688 .677 .078 .519 +9689 .688 .066 .5 +9690 .692 .084 .461 +9691 .686 .105 .454 +9692 .672 .123 .435 +9693 .678 .115 .441 +9694 .721 .033 .477 +9695 .717 .039 .489 +9696 .703 .074 .441 +9697 .697 .094 .429 +9698 .68 .113 .411 +9699 .688 .107 .419 +9700 .707 .043 .486 +9701 .698 .059 .478 +9702 .679 .113 .445 +9703 .687 .1 .455 +9704 .688 .097 .456 +9705 .695 .068 .473 +9706 .683 .107 .454 +9707 .687 .102 .454 +9708 .693 .076 .47 +9709 .694 .072 .471 +9710 .712 .039 .465 +9711 .714 .04 .489 +9712 .702 .05 .481 +9713 .708 .058 .45 +9714 .697 .093 .43 +9715 .695 .097 .427 +9716 .707 .061 .447 +9717 .691 .104 .422 +9718 .723 .034 .48 +9719 .715 .035 .471 +9720 .708 .055 .451 +9721 .711 .045 .458 +9722 .698 .088 .433 +9723 .697 .091 .431 +9724 .718 .041 .487 +9725 .722 .036 .481 +9726 .721 .04 .484 +9727 .697 .065 .474 +9728 .709 .051 .452 +9729 .69 .083 .416 +9730 .687 .095 .407 +9731 .682 .114 .403 +9732 .683 .108 .402 +9733 .711 .046 .419 +9734 .708 .051 .43 +9735 .697 .076 .399 +9736 .693 .089 .393 +9737 .684 .105 .385 +9738 .687 .1 .387 +9739 .702 .053 .431 +9740 .694 .065 .426 +9741 .684 .104 .403 +9742 .688 .09 .411 +9743 .689 .087 .413 +9744 .693 .074 .422 +9745 .687 .098 .406 +9746 .688 .093 .409 +9747 .691 .078 .418 +9748 .692 .076 .421 +9749 .705 .051 .413 +9750 .706 .051 .43 +9751 .698 .058 .428 +9752 .698 .069 .403 +9753 .694 .086 .394 +9754 .692 .092 .392 +9755 .698 .071 .401 +9756 .688 .097 .388 +9757 .712 .047 .42 +9758 .708 .047 .416 +9759 .699 .067 .404 +9760 .701 .058 .407 +9761 .695 .081 .397 +9762 .695 .084 .396 +9763 .709 .051 .429 +9764 .712 .048 .42 +9765 .711 .05 .424 +9766 .693 .072 .423 +9767 .7 .064 .405 +9768 .652 .175 .482 +9769 .663 .166 .47 +9770 .638 .173 .485 +9771 .631 .17 .484 +9772 .659 .171 .477 +9773 .635 .153 .466 +9774 .633 .157 .471 +9775 .639 .148 .457 +9776 .676 .156 .457 +9777 .687 .15 .443 +9778 .684 .153 .451 +9779 .648 .131 .438 +9780 .644 .138 .447 +9781 .655 .129 .432 +9782 .689 .142 .43 +9783 .699 .139 .414 +9784 .697 .141 .423 +9785 .666 .119 .415 +9786 .662 .123 .423 +9787 .672 .115 .407 +9788 .694 .135 .394 +9789 .696 .128 .382 +9790 .69 .115 .378 +9791 .684 .11 .379 +9792 .697 .132 .388 +9793 .678 .11 .391 +9794 .676 .114 .398 +9795 .679 .108 .388 +9796 .647 .174 .483 +9797 .695 .124 .381 +9798 .631 .163 .471 +9799 .679 .109 .384 +9800 .654 .178 .475 +9801 .662 .171 .467 +9802 .635 .177 .475 +9803 .659 .177 .47 +9804 .628 .16 .457 +9805 .628 .167 .467 +9806 .631 .153 .447 +9807 .677 .161 .45 +9808 .685 .157 .44 +9809 .682 .162 .443 +9810 .642 .143 .428 +9811 .637 .148 .436 +9812 .648 .139 .42 +9813 .688 .148 .421 +9814 .695 .146 .412 +9815 .692 .149 .415 +9816 .659 .126 .403 +9817 .653 .133 .41 +9818 .664 .12 .394 +9819 .692 .14 .389 +9820 .693 .133 .381 +9821 .687 .121 .374 +9822 .692 .139 .383 +9823 .679 .113 .377 +9824 .669 .114 .384 +9825 .648 .181 .473 +9826 .69 .133 .375 +9827 .659 .122 .388 +9828 .632 .184 .466 +9829 .658 .182 .464 +9830 .625 .169 .463 +9831 .624 .165 .454 +9832 .626 .159 .442 +9833 .679 .168 .437 +9834 .64 .149 .423 +9835 .633 .154 .432 +9836 .646 .145 .414 +9837 .65 .14 .405 +9838 .665 .135 .352 +9839 .565 .217 .417 +9840 .567 .202 .414 +9841 .683 .153 .423 +9842 .663 .171 .46 +9843 .665 .195 .406 +9844 .642 .189 .463 +9845 .617 .171 .447 +9846 .655 .131 .356 +9847 .613 .198 .448 +9848 .621 .168 .435 +9849 .636 .159 .417 +9850 .629 .163 .425 +9851 .642 .154 .409 +9852 .65 .14 .39 +9853 .647 .148 .4 +9854 .654 .129 .379 +9855 .686 .151 .385 +9856 .686 .137 .37 +9857 .674 .123 .365 +9858 .676 .117 .373 +9859 .687 .147 .376 +9860 .571 .189 .415 +9861 .582 .183 .421 +9862 .684 .144 .431 +9863 .636 .213 .428 +9864 .679 .134 .363 +9865 .672 .183 .421 +9866 .656 .192 .437 +9867 .682 .162 .386 +9868 .568 .219 .401 +9869 .572 .201 .398 +9870 .576 .188 .401 +9871 .589 .181 .41 +9872 .607 .175 .426 +9873 .647 .198 .446 +9874 .682 .157 .378 +9875 .682 .143 .364 +9876 .684 .127 .369 +9877 .684 .152 .37 +9878 .594 .181 .43 +9879 .604 .181 .439 +9880 .692 .148 .402 +9881 .674 .175 .413 +9882 .665 .187 .429 +9883 .682 .168 .395 +9884 .581 .232 .411 +9885 .605 .22 .433 +9886 .679 .164 .37 +9887 .68 .158 .363 +9888 .655 .131 .395 +9889 .683 .157 .433 +9890 .632 .232 .39 +9891 .678 .17 .404 +9892 .681 .16 .415 +9893 .686 .16 .405 +9894 .664 .196 .352 +9895 .655 .216 .369 +9896 .642 .227 .383 +9897 .662 .203 .357 +9898 .659 .21 .363 +9899 .617 .238 .396 +9900 .665 .19 .347 +9901 .643 .165 .324 +9902 .636 .15 .34 +9903 .665 .178 .338 +9904 .598 .218 .437 +9905 .685 .149 .437 +9906 .65 .221 .376 +9907 .673 .182 .391 +9908 .641 .153 .331 +9909 .672 .142 .353 +9910 .668 .175 .441 +9911 .678 .164 .425 +9912 .687 .155 .395 +9913 .677 .178 .384 +9914 .657 .2 .414 +9915 .669 .188 .399 +9916 .661 .18 .448 +9917 .677 .172 .434 +9918 .654 .188 .458 +9919 .678 .171 .377 +9920 .648 .206 .421 +9921 .67 .165 .45 +9922 .695 .138 .407 +9923 .638 .168 .495 +9924 .653 .168 .491 +9925 .662 .159 .48 +9926 .658 .15 .475 +9927 .653 .147 .472 +9928 .632 .166 .496 +9929 .659 .165 .486 +9930 .637 .149 .477 +9931 .632 .154 .484 +9932 .644 .148 .473 +9933 .645 .17 .494 +9934 .661 .154 .476 +9935 .63 .161 .49 +9936 .649 .146 .472 +9937 .657 .124 .451 +9938 .684 .144 .46 +9939 .655 .142 .47 +9940 .675 .123 .446 +9941 .685 .132 .451 +9942 .666 .147 .473 +9943 .664 .122 .446 +9944 .654 .129 .456 +9945 .696 .108 .384 +9946 .701 .118 .389 +9947 .67 .122 .445 +9948 .654 .135 .464 +9949 .675 .118 .438 +9950 .686 .111 .416 +9951 .689 .113 .414 +9952 .677 .12 .442 +9953 .68 .124 .445 +9954 .693 .13 .437 +9955 .673 .114 .434 +9956 .681 .11 .418 +9957 .687 .128 .441 +9958 .699 .123 .418 +9959 .699 .123 .397 +9960 .691 .117 .406 +9961 .699 .13 .43 +9962 .675 .111 .426 +9963 .701 .128 .424 +9964 .694 .117 .414 +9965 .686 .102 .386 +9966 .683 .111 .403 +9967 .682 .105 .395 +9968 .701 .121 .393 +9969 .699 .113 .386 +9970 .695 .122 .402 +9971 .681 .127 .448 +9972 .689 .139 .455 +9973 .675 .146 .468 +9974 .658 .147 .475 +9975 .691 .104 .384 +9976 .687 .113 .407 +9977 .683 .103 .39 +9978 .682 .108 .399 +9979 .416 .493 .095 +9980 .366 .466 .134 +9981 .366 .459 .135 +9982 .351 .438 .117 +9983 .339 .43 .097 +9984 .327 .426 .075 +9985 .399 .484 .117 +9986 .399 .463 .013 +9987 .408 .476 .028 +9988 .417 .485 .049 +9989 .419 .49 .073 +9990 .388 .451 .009 +9991 .375 .447 .003 +9992 .328 .429 .022 +9993 .323 .426 .034 +9994 .32 .424 .051 +9995 .361 .444 .002 +9996 .43 .478 .099 +9997 .395 .459 .132 +9998 .39 .451 .133 +9999 .363 .425 .115 +10000 .35 .416 .097 +10001 .339 .411 .076 +10002 .419 .473 .118 +10003 .418 .447 .019 +10004 .426 .457 .033 +10005 .434 .468 .053 +10006 .434 .475 .076 +10007 .403 .429 .016 +10008 .378 .412 .037 +10009 .347 .414 .022 +10010 .339 .411 .034 +10011 .335 .409 .051 +10012 .38 .417 .011 +10013 .441 .467 .103 +10014 .411 .453 .132 +10015 .403 .442 .133 +10016 .372 .415 .114 +10017 .358 .406 .098 +10018 .348 .401 .077 +10019 .431 .464 .12 +10020 .433 .432 .025 +10021 .44 .444 .038 +10022 .446 .455 .058 +10023 .445 .463 .081 +10024 .424 .422 .017 +10025 .415 .414 .011 +10026 .362 .402 .023 +10027 .353 .4 .035 +10028 .347 .399 .053 +10029 .4 .41 .013 +10030 .45 .458 .108 +10031 .425 .446 .134 +10032 .412 .434 .135 +10033 .381 .406 .116 +10034 .367 .397 .1 +10035 .358 .391 .08 +10036 .44 .456 .124 +10037 .445 .42 .033 +10038 .451 .432 .046 +10039 .456 .445 .064 +10040 .455 .453 .087 +10041 .437 .41 .024 +10042 .427 .401 .016 +10043 .376 .39 .027 +10044 .366 .389 .039 +10045 .359 .389 .056 +10046 .414 .396 .017 +10047 .46 .45 .114 +10048 .435 .44 .138 +10049 .42 .427 .138 +10050 .389 .397 .12 +10051 .377 .385 .104 +10052 .371 .378 .085 +10053 .45 .447 .129 +10054 .459 .407 .044 +10055 .464 .42 .056 +10056 .467 .434 .073 +10057 .465 .444 .093 +10058 .451 .396 .036 +10059 .442 .387 .027 +10060 .394 .374 .039 +10061 .383 .374 .048 +10062 .374 .376 .063 +10063 .429 .382 .029 +10064 .473 .439 .123 +10065 .446 .433 .145 +10066 .428 .423 .146 +10067 .396 .389 .129 +10068 .387 .373 .113 +10069 .385 .362 .095 +10070 .462 .438 .137 +10071 .476 .391 .06 +10072 .482 .405 .071 +10073 .484 .419 .087 +10074 .48 .431 .106 +10075 .468 .379 .053 +10076 .458 .369 .047 +10077 .41 .359 .059 +10078 .399 .359 .066 +10079 .39 .36 .078 +10080 .446 .366 .048 +10081 .49 .423 .137 +10082 .458 .425 .157 +10083 .44 .416 .16 +10084 .406 .377 .148 +10085 .398 .36 .133 +10086 .397 .347 .116 +10087 .476 .425 .15 +10088 .497 .37 .084 +10089 .503 .384 .092 +10090 .504 .399 .107 +10091 .5 .413 .123 +10092 .489 .358 .076 +10093 .477 .35 .073 +10094 .427 .338 .085 +10095 .416 .34 .093 +10096 .406 .342 .103 +10097 .465 .345 .072 +10098 .511 .399 .163 +10099 .478 .402 .181 +10100 .461 .393 .184 +10101 .428 .353 .177 +10102 .422 .337 .166 +10103 .421 .324 .152 +10104 .495 .403 .173 +10105 .522 .345 .114 +10106 .528 .358 .123 +10107 .527 .375 .137 +10108 .521 .388 .151 +10109 .514 .334 .108 +10110 .5 .327 .106 +10111 .45 .314 .12 +10112 .439 .315 .127 +10113 .429 .319 .14 +10114 .487 .321 .106 +10115 .536 .367 .196 +10116 .505 .37 .21 +10117 .489 .361 .212 +10118 .459 .33 .209 +10119 .453 .315 .2 +10120 .454 .304 .188 +10121 .521 .371 .205 +10122 .547 .32 .152 +10123 .552 .333 .162 +10124 .552 .347 .174 +10125 .547 .358 .186 +10126 .54 .308 .144 +10127 .525 .302 .144 +10128 .477 .291 .158 +10129 .467 .293 .166 +10130 .459 .298 .177 +10131 .513 .298 .145 +10132 .561 .336 .234 +10133 .532 .338 .246 +10134 .518 .331 .247 +10135 .491 .306 .243 +10136 .486 .294 .235 +10137 .486 .284 .225 +10138 .548 .338 .241 +10139 .574 .297 .191 +10140 .578 .308 .201 +10141 .577 .32 .212 +10142 .571 .33 .224 +10143 .568 .287 .185 +10144 .558 .279 .183 +10145 .508 .267 .198 +10146 .498 .271 .206 +10147 .49 .276 .216 +10148 .544 .274 .185 +10149 .579 .311 .262 +10150 .554 .313 .273 +10151 .542 .307 .276 +10152 .519 .287 .272 +10153 .515 .276 .266 +10154 .515 .267 .257 +10155 .567 .314 .269 +10156 .595 .281 .228 +10157 .596 .29 .235 +10158 .594 .298 .243 +10159 .588 .305 .253 +10160 .591 .272 .222 +10161 .585 .263 .221 +10162 .536 .248 .232 +10163 .526 .252 .239 +10164 .519 .258 .247 +10165 .573 .255 .221 +10166 .593 .29 .286 +10167 .572 .293 .297 +10168 .562 .29 .302 +10169 .543 .272 .298 +10170 .539 .263 .292 +10171 .539 .253 .284 +10172 .583 .293 .292 +10173 .611 .267 .256 +10174 .61 .274 .263 +10175 .606 .281 .271 +10176 .601 .286 .278 +10177 .609 .259 .251 +10178 .603 .25 .248 +10179 .559 .232 .258 +10180 .549 .237 .266 +10181 .542 .244 .275 +10182 .595 .241 .249 +10183 .603 .275 .305 +10184 .586 .278 .316 +10185 .576 .275 .32 +10186 .562 .261 .317 +10187 .559 .254 .311 +10188 .559 .245 .304 +10189 .595 .277 .311 +10190 .622 .255 .278 +10191 .62 .261 .284 +10192 .616 .267 .291 +10193 .61 .271 .298 +10194 .621 .248 .273 +10195 .616 .239 .27 +10196 .574 .22 .279 +10197 .566 .226 .287 +10198 .561 .235 .296 +10199 .609 .231 .269 +10200 .613 .263 .32 +10201 .597 .267 .331 +10202 .59 .265 .335 +10203 .575 .252 .329 +10204 .572 .245 .324 +10205 .571 .237 .319 +10206 .605 .266 .326 +10207 .63 .243 .295 +10208 .628 .249 .3 +10209 .624 .254 .307 +10210 .618 .259 .314 +10211 .629 .236 .29 +10212 .626 .229 .286 +10213 .584 .212 .294 +10214 .576 .219 .302 +10215 .572 .228 .311 +10216 .621 .221 .285 +10217 .628 .247 .342 +10218 .612 .253 .353 +10219 .602 .253 .356 +10220 .587 .24 .348 +10221 .583 .234 .342 +10222 .582 .228 .335 +10223 .621 .251 .348 +10224 .642 .224 .318 +10225 .64 .23 .323 +10226 .637 .236 .33 +10227 .633 .242 .336 +10228 .642 .217 .313 +10229 .639 .211 .307 +10230 .594 .204 .309 +10231 .586 .212 .318 +10232 .582 .221 .328 +10233 .635 .206 .302 +10234 .624 .241 .376 +10235 .597 .244 .38 +10236 .575 .217 .38 +10237 .611 .244 .38 +10238 .651 .221 .351 +10239 .647 .227 .357 +10240 .641 .232 .363 +10241 .634 .237 .37 +10242 .654 .214 .345 +10243 .656 .202 .332 +10244 .666 .157 .458 +10245 .662 .161 .465 +10246 .688 .156 .411 +10247 .693 .135 .398 +10248 .689 .145 .391 +10249 .689 .144 .381 +10250 .655 .207 .339 +10251 .574 .176 .455 +10252 .555 .183 .456 +10253 .556 .196 .464 +10254 .554 .189 .459 +10255 .589 .19 .471 +10256 .576 .198 .47 +10257 .564 .2 .468 +10258 .587 .183 .465 +10259 .562 .178 .453 +10260 .583 .179 .461 +10261 .577 .178 .451 +10262 .557 .185 .45 +10263 .559 .198 .458 +10264 .557 .192 .454 +10265 .591 .192 .465 +10266 .579 .2 .466 +10267 .567 .203 .462 +10268 .59 .185 .459 +10269 .563 .181 .449 +10270 .585 .181 .457 +10271 .578 .179 .448 +10272 .559 .188 .446 +10273 .56 .2 .451 +10274 .558 .194 .448 +10275 .592 .192 .459 +10276 .581 .203 .46 +10277 .568 .206 .455 +10278 .591 .187 .455 +10279 .564 .182 .445 +10280 .587 .182 .452 +10281 .579 .18 .445 +10282 .56 .189 .442 +10283 .562 .203 .445 +10284 .56 .196 .443 +10285 .595 .193 .455 +10286 .584 .206 .454 +10287 .57 .21 .449 +10288 .594 .188 .451 +10289 .566 .183 .442 +10290 .588 .183 .449 +10291 .581 .181 .441 +10292 .563 .19 .436 +10293 .563 .207 .438 +10294 .561 .198 .436 +10295 .598 .196 .451 +10296 .587 .209 .449 +10297 .573 .215 .443 +10298 .597 .188 .447 +10299 .567 .184 .439 +10300 .59 .184 .444 +10301 .587 .183 .436 +10302 .567 .19 .427 +10303 .565 .213 .429 +10304 .564 .201 .426 +10305 .605 .199 .447 +10306 .59 .213 .444 +10307 .573 .219 .434 +10308 .603 .189 .446 +10309 .576 .183 .43 +10310 .596 .184 .441 +10311 .578 .199 .382 +10312 .582 .189 .388 +10313 .596 .179 .399 +10314 .615 .171 .414 +10315 .603 .178 .389 +10316 .623 .17 .405 +10317 .611 .177 .38 +10318 .631 .168 .397 +10319 .591 .205 .351 +10320 .619 .174 .372 +10321 .636 .162 .388 +10322 .597 .198 .341 +10323 .624 .164 .364 +10324 .639 .153 .378 +10325 .604 .189 .332 +10326 .633 .151 .355 +10327 .644 .141 .367 +10328 .615 .176 .325 +10329 .667 .116 .379 +10330 .672 .183 .365 +10331 .666 .196 .377 +10332 .664 .15 .343 +10333 .674 .166 .352 +10334 .649 .213 .398 +10335 .657 .208 .391 +10336 .67 .191 .371 +10337 .605 .182 .339 +10338 .648 .138 .348 +10339 .662 .202 .384 +10340 .625 .227 .412 +10341 .673 .175 .36 +10342 .576 .226 .424 +10343 .639 .22 .405 +10344 .656 .142 .344 +10345 .664 .121 .37 +10346 .599 .24 .396 +10347 .585 .208 .361 +10348 .614 .19 .315 +10349 .602 .197 .322 +10350 .633 .184 .312 +10351 .594 .204 .332 +10352 .588 .218 .351 +10353 .59 .212 .342 +10354 .589 .236 .376 +10355 .101 .834 .031 +10356 .116 .798 .048 +10357 .113 .766 .087 +10358 .112 .726 .12 +10359 .104 .732 .115 +10360 .061 .771 .055 +10361 .031 .793 -.021 +10362 .018 .828 -.069 +10363 .01 .841 -.079 +10364 -.005 .848 -.064 +10365 -.008 .849 -.032 +10366 0 .849 .005 +10367 -.007 .889 .029 +10368 .002 .882 .031 +10369 0 .883 .037 +10370 -.011 .883 .043 +10371 -.011 .881 .044 +10372 -.01 .881 .042 +10373 -.009 .882 .039 +10374 -.009 .883 .038 +10375 -.008 .885 .036 +10376 -.007 .884 .033 +10377 -.004 .879 .037 +10378 .023 .886 .037 +10379 .023 .881 .038 +10380 .024 .878 .039 +10381 .027 .877 .037 +10382 .036 .89 .026 +10383 .049 .919 .015 +10384 .025 .927 -.002 +10385 .024 .952 -.016 +10386 .02 .991 -.029 +10387 .014 .996 -.032 +10388 .015 .999 -.027 +10389 .024 .992 -.013 +10390 .024 .975 .008 +10391 .015 .974 .027 +10392 .033 .98 .034 +10393 .025 .945 .041 +10394 .032 .932 .043 +10395 .027 .919 .039 +10396 .022 .91 .036 +10397 .019 .902 .034 +10398 -.009 .888 .032 +10399 -.011 .889 .03 +10400 -.012 .888 .032 +10401 -.012 .889 .033 +10402 -.013 .89 .034 +10403 -.012 .89 .036 +10404 -.014 .89 .038 +10405 -.014 .886 .041 +10406 -.019 .881 .043 +10407 -.016 .884 .044 +10408 -.008 .934 .045 +10409 .003 .938 .04 +10410 .012 .942 .04 +10411 .014 .943 .058 +10412 .007 .947 .069 +10413 .004 .95 .07 +10414 .015 .95 .071 +10415 .013 .946 .053 +10416 .016 .95 .034 +10417 .019 .958 .016 +10418 .078 .797 -.028 +10419 .083 .71 -.034 +10420 .009 .697 -.081 +10421 .001 .638 -.034 +10422 .043 .619 .058 +10423 .1 .579 .171 +10424 .151 .502 .193 +10425 .187 .439 .204 +10426 .223 .384 .173 +10427 .267 .34 .148 +10428 .272 .333 .117 +10429 .243 .384 .092 +10430 .195 .466 .103 +10431 .23 .489 .125 +10432 .276 .48 .124 +10433 .333 .466 .125 +10434 .363 .451 .129 +10435 .551 .282 .301 +10436 .568 .269 .32 +10437 .581 .259 .334 +10438 .593 .247 .353 +10439 .585 .225 .364 +10440 .53 .299 .276 +10441 .179 .756 -.189 +10442 .157 .782 -.234 +10443 .122 .786 -.232 +10444 .113 .809 -.288 +10445 .087 .823 -.181 +10446 .062 .825 -.101 +10447 .185 .716 -.137 +10448 .146 .656 -.037 +10449 .169 .626 -.055 +10450 .198 .574 -.081 +10451 .238 .568 -.052 +10452 .169 .672 -.068 +10453 .191 .752 -.158 +10454 .277 .547 -.045 +10455 .3 .513 -.004 +10456 .328 .487 .006 +10457 .328 .461 .005 +10458 .346 .439 .008 +10459 .366 .422 .009 +10460 .383 .408 .014 +10461 .399 .394 .019 +10462 .416 .379 .03 +10463 .433 .363 .049 +10464 .453 .341 .074 +10465 .475 .316 .108 +10466 .501 .292 .148 +10467 .531 .267 .188 +10468 .561 .249 .223 +10469 .583 .235 .25 +10470 .598 .223 .271 +10471 .61 .214 .286 +10472 .622 .2 .301 +10473 .653 .192 .324 +10474 .641 .143 .442 +10475 .662 .123 .409 +10476 .657 .126 .416 +10477 .632 .156 .462 +10478 .646 .137 .433 +10479 .651 .133 .426 +10480 .672 .114 .392 +10481 .677 .111 .385 +10482 .629 .173 .474 +10483 .636 .15 .453 +10484 .668 .119 .401 +10485 .611 .187 .45 +10486 .622 .195 .454 +10487 .617 .182 .458 +10488 .612 .177 .443 +10489 .62 .218 .431 +10490 .634 .199 .452 +10491 .605 .234 .413 +10492 .585 .235 .393 +10493 .618 .168 .332 +10494 .622 .16 .343 +10495 .611 .173 .349 +10496 .598 .193 .348 +10497 .604 .184 .357 +10498 .592 .197 .357 +10499 .597 .188 .366 +10500 .585 .199 .367 +10501 .589 .19 .376 +10502 .623 .176 .465 +10503 .183 .771 -.21 +10504 .167 .802 -.287 +10505 .142 .796 -.322 +10506 .12 .8 -.291 +10507 .096 .804 -.206 +10508 .066 .799 -.138 +10509 .192 .698 -.11 +10510 .144 .65 -.038 +10511 .155 .624 -.066 +10512 .191 .539 -.06 +10513 .238 .509 -.055 +10514 .181 .663 -.059 +10515 .266 .491 -.049 +10516 .281 .499 0 +10517 .306 .48 .012 +10518 .318 .457 .014 +10519 .664 .171 .332 +10520 .335 .434 .015 +10521 .355 .418 .014 +10522 .372 .405 .016 +10523 .387 .391 .022 +10524 .405 .375 .034 +10525 .422 .36 .053 +10526 .439 .339 .079 +10527 .462 .315 .113 +10528 .488 .29 .151 +10529 .52 .265 .193 +10530 .548 .246 .227 +10531 .57 .231 .253 +10532 .584 .218 .274 +10533 .595 .21 .288 +10534 .606 .199 .303 +10535 .671 .16 .346 +10536 .219 .737 -.164 +10537 .649 .186 .316 +10538 .678 .15 .357 +10539 .475 .349 .212 +10540 .505 .323 .246 +10541 .444 .375 .182 +10542 .421 .398 .156 +10543 .411 .407 .14 +10544 .404 .413 .131 +10545 .396 .419 .127 +10546 .388 .427 .127 +10547 .378 .438 .128 +10548 .626 .25 .326 +10549 .621 .254 .332 +10550 .636 .226 .303 +10551 .636 .232 .307 +10552 .579 .239 .334 +10553 .582 .245 .339 +10554 .633 .219 .298 +10555 .63 .214 .294 +10556 .578 .232 .329 +10557 .589 .207 .303 +10558 .614 .257 .338 +10559 .606 .258 .342 +10560 .582 .214 .312 +10561 .631 .244 .319 +10562 .597 .256 .346 +10563 .578 .224 .321 +10564 .634 .238 .313 +10565 .589 .252 .344 +10566 .617 .207 .294 +10567 .601 .203 .296 +10568 .627 .191 .306 +10569 .642 .196 .309 +10570 .646 .201 .316 +10571 .648 .209 .323 +10572 .648 .216 .328 +10573 .646 .223 .334 +10574 .643 .229 .34 +10575 .64 .235 .346 +10576 .635 .24 .352 +10577 .627 .245 .358 +10578 .618 .248 .364 +10579 .607 .248 .367 +10580 .61 .195 .308 +10581 .598 .201 .316 +10582 .591 .209 .325 +10583 .586 .217 .335 +10584 .586 .224 .342 +10585 .587 .229 .352 +10586 .591 .237 .36 +10587 .597 .244 .365 +10588 .275 .484 -.053 +10589 .201 .411 -.006 +10590 .237 .48 -.044 +10591 .165 .726 -.389 +10592 .165 .784 -.447 +10593 .143 .807 -.42 +10594 .113 .836 -.358 +10595 .086 .813 -.299 +10596 .053 .781 -.291 +10597 .171 .504 -.236 +10598 .175 .417 -.13 +10599 .195 .382 -.024 +10600 .183 .622 -.352 +10601 .234 .486 -.074 +10602 .202 .43 -.057 +10603 .211 .473 -.064 +10604 .158 .708 -.452 +10605 .141 .777 -.452 +10606 .127 .81 -.416 +10607 .109 .816 -.364 +10608 .074 .798 -.335 +10609 .065 .75 -.329 +10610 .176 .531 -.287 +10611 .205 .449 -.183 +10612 .219 .401 -.1 +10613 .183 .628 -.413 +10614 .222 .494 -.086 +10615 .215 .466 -.118 +10616 .197 .492 -.092 +10617 .125 .683 -.471 +10618 .126 .75 -.466 +10619 .112 .788 -.438 +10620 .088 .799 -.399 +10621 .067 .766 -.374 +10622 .058 .736 -.355 +10623 .198 .529 -.328 +10624 .219 .458 -.235 +10625 .238 .427 -.173 +10626 .187 .593 -.415 +10627 .22 .477 -.098 +10628 .236 .463 -.191 +10629 .221 .47 -.127 +10630 .172 .668 -.449 +10631 .12 .73 -.485 +10632 .119 .749 -.469 +10633 .088 .753 -.444 +10634 .079 .744 -.427 +10635 .071 .724 -.385 +10636 .223 .536 -.381 +10637 .246 .48 -.339 +10638 .258 .46 -.257 +10639 .219 .576 -.415 +10640 .204 .491 -.114 +10641 .253 .486 -.236 +10642 .211 .487 -.155 +10643 .208 .639 -.423 +10644 .183 .677 -.455 +10645 .123 .697 -.468 +10646 .1 .686 -.454 +10647 .084 .694 -.425 +10648 .065 .698 -.417 +10649 .254 .551 -.417 +10650 .256 .498 -.362 +10651 .27 .477 -.303 +10652 .239 .59 -.407 +10653 .178 .528 -.113 +10654 .22 .505 -.209 +10655 .196 .516 -.154 +10656 .238 .628 -.414 +10657 .199 .649 -.424 +10658 .136 .643 -.421 +10659 .116 .645 -.421 +10660 .098 .647 -.426 +10661 .071 .659 -.427 +10662 .269 .559 -.407 +10663 .246 .521 -.346 +10664 .261 .507 -.293 +10665 .27 .6 -.422 +10666 .137 .559 -.075 +10667 .184 .543 -.146 +10668 .168 .546 -.109 +10669 .251 .643 -.386 +10670 .214 .648 -.385 +10671 .151 .652 -.398 +10672 .124 .656 -.4 +10673 .1 .644 -.402 +10674 .055 .662 -.399 +10675 .275 .587 -.371 +10676 .251 .56 -.305 +10677 .228 .553 -.228 +10678 .277 .62 -.394 +10679 .107 .568 -.029 +10680 .167 .559 -.086 +10681 .132 .549 -.055 +10682 .241 .659 -.351 +10683 .222 .658 -.34 +10684 .176 .673 -.353 +10685 .134 .681 -.36 +10686 .09 .677 -.366 +10687 .048 .694 -.366 +10688 .252 .601 -.3 +10689 .216 .576 -.228 +10690 .185 .564 -.147 +10691 .26 .629 -.34 +10692 .065 .591 .006 +10693 .094 .518 -.042 +10694 .077 .549 -.003 +10695 .073 .753 -.067 +10696 .206 .637 -.294 +10697 .208 .652 -.304 +10698 .187 .683 -.316 +10699 .142 .706 -.323 +10700 .094 .706 -.311 +10701 .054 .727 -.301 +10702 .051 .738 -.095 +10703 .113 .533 -.13 +10704 .105 .514 -.082 +10705 .162 .589 -.216 +10706 .04 .599 .002 +10707 .067 .499 -.065 +10708 .038 .544 -.003 +10709 .077 .748 -.077 +10710 .142 .598 -.193 +10711 .163 .628 -.2 +10712 .171 .669 -.215 +10713 .15 .72 -.239 +10714 .097 .74 -.226 +10715 .062 .749 -.213 +10716 .09 .51 -.124 +10717 .067 .495 -.085 +10718 .116 .569 -.176 +10719 .275 .553 -.031 +10720 .269 .563 -.056 +10721 .241 .582 -.062 +10722 .205 .572 -.069 +10723 .216 .566 -.068 +10724 .127 .79 -.075 +10725 .14 .761 -.026 +10726 .026 .692 -.024 +10727 .065 .766 -.138 +10728 .045 .839 -.203 +10729 .081 .778 -.115 +10730 .109 .788 -.065 +10731 .119 .748 -.014 +10732 .068 .717 -.013 +10733 .073 .777 -.078 +10734 .019 .879 -.178 +10735 .08 .798 -.123 +10736 .063 .836 -.084 +10737 .077 .797 -.005 +10738 .106 .722 -.009 +10739 .074 .8 -.165 +10740 .056 .798 -.173 +10741 .055 .792 -.041 +10742 .05 .784 -.026 +10743 .153 .677 -.001 +10744 .131 .797 -.135 +10745 .075 .83 -.185 +10746 .043 .742 -.059 +10747 .013 .725 -.05 +10748 .186 .672 -.043 +10749 .1 .811 -.167 +10750 .067 .849 -.156 +10751 .171 .589 -.056 +10752 .11 .629 -.043 +10753 .063 .62 -.028 +10754 .031 .629 -.02 +10755 .135 .562 -.184 +10756 .049 .686 -.072 +10757 .047 .662 -.037 +10758 .05 .624 -.074 +10759 .015 .654 -.048 +10760 .019 .677 -.042 +10761 .018 .685 -.052 +10762 .014 .674 -.078 +10763 .011 .686 -.063 +10764 .018 .688 -.053 +10765 .050 .706 -.071 +10766 .06 .686 -.073 +10767 .004 .688 -.028 +10768 .028 .714 -.072 +10769 .007 .71 -.053 +10770 .006 .641 -.027 +10771 -.018 .598 0 +10772 .003 .491 -.062 +10773 -.024 .537 -.013 +10774 .016 .494 -.063 +10775 .008 .481 -.057 +10776 .047 .678 -.023 +10777 .048 .675 -.029 +10778 -.02 .685 -.027 +10779 .020 .692 -.045 +10780 0 .705 -.049 +10781 -.039 .65 -.022 +10782 .143 .54 -.094 +10783 .159 .562 -.161 +10784 .084 .581 -.007 +10785 .099 .554 -.02 +10786 .125 .537 -.054 +10787 .2 .612 -.264 +10788 .149 .715 -.282 +10789 .087 .724 -.276 +10790 .057 .736 -.253 +10791 .179 .612 -.244 +10792 .19 .636 -.262 +10793 .054 .777 -.107 +10794 .187 .669 -.262 +10795 .045 .625 -.025 +10796 .068 .776 -.061 +10797 .086 .779 -.085 +10798 .054 .769 -.045 +10799 .034 .749 -.044 +10800 .043 .699 -.023 +10801 .186 .588 -.222 +10802 -.056 .664 -.011 +10803 .041 .652 -.030 +10804 .041 .653 .011 +10805 -.049 .48 -.016 +10806 -.066 .492 -.016 +10807 -.089 .536 -.023 +10808 -.075 .486 -.036 +10809 -.068 .589 -.006 +10810 -.082 .636 -.017 +10811 -.016 .69 -.010 +10812 .011 .671 .003 +10813 .091 .543 -.168 +10814 .028 .527 -.105 +10815 -.056 .529 -.032 +10816 .097 .592 -.133 +10817 .126 .623 -.122 +10818 .152 .665 -.153 +10819 .135 .716 -.174 +10820 .097 .756 -.17 +10821 .059 .767 -.166 +10822 .029 .61 -.037 +10823 .075 .645 -.038 +10824 .114 .688 -.066 +10825 .117 .739 -.096 +10826 .094 .787 -.11 +10827 .055 .79 -.11 +10828 -.027 .632 .038 +10829 .031 .67 .026 +10830 .078 .711 .005 +10831 .09 .752 -.02 +10832 .076 .805 -.027 +10833 .04 .829 -.014 +10834 .056 .557 -.119 +10835 -.021 .573 -.038 +10836 -.149 .565 .01 +10837 -.088 .557 .045 +10838 -.024 .556 .024 +10839 .013 .567 -.014 +10840 .025 .574 -.076 +10841 .018 .593 -.099 +10842 -.01 .61 -.066 +10843 -.101 .591 .012 +10844 -.179 .583 .047 +10845 -.135 .559 .026 +10846 -.113 .508 .042 +10847 -.073 .488 .02 +10848 -.009 .482 -.028 +10849 0 .471 -.109 +10850 -.004 .491 -.11 +10851 -.048 .5 -.051 +10852 -.14 .565 .002 +10853 -.087 .42 .034 +10854 -.08 .408 .039 +10855 -.027 .423 -.005 +10856 -.028 .436 -.01 +10857 -.027 .463 -.019 +10858 -.045 .485 0 +10859 -.145 .529 .041 +10860 -.099 .538 -.01 +10861 -.044 .37 .028 +10862 -.043 .352 .053 +10863 -.038 .37 .036 +10864 -.039 .406 .043 +10865 -.03 .431 .023 +10866 -.033 .445 .021 +10867 -.084 .47 0 +10868 -.077 .537 .004 +10869 -.036 .397 .07 +10870 -.045 .371 .094 +10871 -.047 .407 .106 +10872 -.023 .465 .11 +10873 -.016 .501 .054 +10874 -.012 .542 .044 +10875 -.054 .459 .029 +10876 -.063 .557 .005 +10877 -.037 .46 .106 +10878 -.058 .48 .132 +10879 -.071 .54 .176 +10880 -.021 .609 .117 +10881 .003 .631 .056 +10882 .004 .666 -.005 +10883 -.04 .481 .04 +10884 -.07 .588 -.009 +10885 -.049 .591 .098 +10886 -.068 .684 .096 +10887 -.077 .695 .114 +10888 -.022 .735 .105 +10889 -.003 .754 -.032 +10890 .019 .785 -.122 +10891 -.041 .521 .04 +10892 -.11 .617 -.043 +10893 -.089 .665 .066 +10894 -.112 .702 .085 +10895 -.048 .834 -.044 +10896 -.032 .812 -.11 +10897 -.004 .822 -.148 +10898 -.076 .579 -.005 +10899 -.121 .525 -.016 +10900 -.125 .556 -.016 +10901 -.175 .521 -.024 +10902 -.16 .502 -.019 +10903 -.202 .553 -.022 +10904 -.183 .59 -.005 +10905 -.167 .534 -.003 +10906 -.166 .551 -.016 +10907 -.163 .522 -.015 +10908 -.184 .524 -.003 +10909 -.173 .516 -.029 +10910 -.133 .537 0 +10911 -.179 .58 -.024 +10912 -.134 .549 -.038 +10913 -.113 .533 .014 +10914 -.167 .563 .001 +10915 -.124 .53 .008 +10916 -.099 .544 .013 +10917 -.161 .614 -.046 +10918 -.11 .556 -.079 +10919 -.102 .602 .023 +10920 -.147 .618 -.001 +10921 -.084 .589 .005 +10922 -.073 .598 -.007 +10923 -.129 .65 -.056 +10924 -.095 .578 -.07 +10925 -.08 .673 -.004 +10926 -.119 .676 -.018 +10927 -.081 .658 -.029 +10928 -.064 .671 -.052 +10929 -.097 .687 -.067 +10930 -.085 .611 -.069 +10931 -.058 .708 -.034 +10932 -.078 .715 -.034 +10933 -.07 .691 -.067 +10934 -.048 .697 -.08 +10935 -.083 .705 -.092 +10936 -.099 .641 -.075 +10937 -.055 .721 -.069 +10938 -.061 .731 -.067 +10939 -.059 .706 -.095 +10940 -.042 .7 -.09 +10941 -.075 .711 -.117 +10942 -.121 .655 -.091 +10943 -.059 .738 -.098 +10944 -.053 .739 -.097 +10945 .008 .648 .076 +10946 .027 .642 .066 +10947 -.12 .63 .029 +10948 .028 .648 -.059 +10949 .007 .646 -.025 +10950 -.077 .664 .013 +10951 -.026 .664 .004 +10952 -.094 .575 .034 +10953 .033 .682 -.041 +10954 .014 .664 -.012 +10955 -.053 .646 .033 +10956 -.021 .667 .009 +10957 -.08 .593 .033 +10958 .055 .724 0 +10959 .031 .697 -.013 +10960 -.067 .662 .031 +10961 -.017 .689 .014 +10962 -.046 .624 .01 +10963 .071 .769 .026 +10964 .042 .747 .007 +10965 -.032 .671 .020 +10966 .009 .706 -.024 +10967 -.029 .679 -.036 +10968 .082 .745 .004 +10969 .078 .738 .006 +10970 -.007 .695 .011 +10971 .034 .704 .015 +10972 -.015 .687 -.055 +10973 .056 .687 -.059 +10974 .114 .662 -.029 +10975 .017 .687 .001 +10976 .057 .681 .033 +10977 -.016 .681 -.05 +10978 .078 .638 -.013 +10979 .028 .672 .002 +10980 .052 .66 .048 +10981 .019 .66 -.092 +10982 .031 .712 -.032 +10983 .044 .778 .013 +10984 .048 .792 .063 +10985 .041 .784 .055 +10986 .029 .72 -.026 +10987 -.023 .665 .022 +10988 -.004 .665 .025 +10989 .031 .649 -.044 +10990 .04 .664 -.075 +10991 -.056 .653 .038 +10992 .021 .649 .001 +10993 .012 .71 -.069 +10994 -.025 .698 -.084 +10995 -.064 .724 -.129 +10996 -.007 .829 -.16 +10997 .008 .685 -.059 +10998 -.035 .681 -.062 +10999 -.109 .711 -.125 +11000 -.039 .776 -.161 +11001 .025 .662 -.008 +11002 -.059 .683 -.028 +11003 -.123 .707 -.097 +11004 -.083 .81 -.127 +11005 .02 .733 -.023 +11006 -.052 .6 .052 +11007 .007 .628 .044 +11008 .052 .657 .004 +11009 -.069 .604 .015 +11010 .061 .677 -.016 +11011 .047 .711 -.023 +11012 -.105 .555 .016 +11013 -.135 .504 -.019 +11014 -.083 .495 .009 +11015 -.104 .636 .012 +11016 -.148 .585 -.003 +11017 -.164 .543 -.012 +11018 -.095 .52 0 +11019 -.13 .647 -.066 +11020 -.105 .639 -.052 +11021 -.068 .698 -.122 +11022 -.124 .656 -.087 +11023 -.057 .733 -.1 +11024 -.045 .725 -.104 +11025 .025 .669 .009 +11026 .044 .601 -.005 +11027 -.017 .691 -.039 +11028 -.038 .717 -.091 +11029 .008 .677 .002 +11030 -.069 .712 -.019 +11031 -.138 .726 -.071 +11032 -.122 .779 -.11 +11033 .009 .678 .018 +11034 .011 .617 .02 +11035 -.033 .7 -.037 +11036 -.037 .724 -.086 +11037 -.01 .658 0 +11038 -.073 .7 -.015 +11039 -.144 .737 -.062 +11040 -.146 .769 -.075 +11041 -.04 .656 .007 +11042 -.1 .688 -.012 +11043 -.156 .737 -.043 +11044 -.162 .751 -.041 +11045 -.089 .826 -.039 +11046 -.056 .719 -.109 +11047 -.048 .721 -.105 +11048 -.117 .779 -.006 +11049 -.14 .752 .032 +11050 -.118 .675 .066 +11051 -.14 .706 .072 +11052 -.008 .677 .101 +11053 -.14 .64 -.06 +11054 -.122 .647 -.045 +11055 -.055 .669 -.116 +11056 -.118 .634 -.075 +11057 -.042 .708 -.083 +11058 -.027 .697 -.088 +11059 0 .697 .039 +11060 -.035 .667 .046 +11061 -.036 .709 -.028 +11062 -.036 .719 -.08 +11063 -.082 .696 .025 +11064 -.142 .7 -.002 +11065 -.188 .731 -.013 +11066 -.191 .736 -.01 +11067 -.041 .708 -.097 +11068 -.158 .732 .061 +11069 -.116 .679 .065 +11070 -.145 .712 .066 +11071 -.044 .736 .137 +11072 -.13 .621 -.033 +11073 -.117 .639 -.011 +11074 -.046 .657 -.093 +11075 -.106 .622 -.052 +11076 -.033 .707 -.046 +11077 -.015 .693 -.054 +11078 -.014 .746 .061 +11079 -.074 .745 .077 +11080 -.033 .75 -.015 +11081 -.047 .743 -.069 +11082 -.128 .774 .053 +11083 -.179 .766 .031 +11084 -.222 .743 .037 +11085 -.22 .735 .035 +11086 -.047 .721 -.071 +11087 -.162 .725 .085 +11088 -.072 .71 .063 +11089 -.13 .77 .068 +11090 -.081 .844 .156 +11091 -.086 .668 -.004 +11092 -.072 .682 .012 +11093 -.011 .732 -.066 +11094 -.062 .686 -.027 +11095 -.017 .793 -.007 +11096 .012 .771 -.016 +11097 -.026 .861 .085 +11098 -.117 .855 .101 +11099 -.023 .86 -.004 +11100 -.04 .845 -.05 +11101 -.16 .871 .089 +11102 -.208 .861 .078 +11103 -.243 .845 .095 +11104 -.249 .835 .09 +11105 -.041 .818 -.037 +11106 -.174 .822 .098 +11107 -.022 .88 -.018 +11108 -.122 .951 .006 +11109 -.058 1.011 .147 +11110 .009 .843 .017 +11111 .027 .845 .002 +11112 .021 .876 -.033 +11113 .008 .84 .013 +11114 .044 .918 .002 +11115 .053 .898 -.007 +11116 -.007 .99 .09 +11117 -.109 1.023 .131 +11118 .012 1.006 0 +11119 .014 .972 -.042 +11120 -.198 1.034 .145 +11121 -.267 1.022 .119 +11122 -.288 1.001 .12 +11123 -.274 1.005 .11 +11124 .011 .934 -.031 +11125 -.238 .985 .072 +11126 -.023 .97 -.1 +11127 -.114 1.043 -.058 +11128 -.041 1.056 .158 +11129 .034 .947 -.013 +11130 .047 .958 -.047 +11131 .009 .946 -.022 +11132 .034 .933 0 +11133 .086 .951 -.023 +11134 .052 .94 -.033 +11135 .017 1.042 .097 +11136 -.074 1.085 .162 +11137 .053 1.052 .021 +11138 .092 1.01 -.005 +11139 -.162 1.097 .155 +11140 -.243 1.073 .092 +11141 -.247 1.049 .088 +11142 -.232 1.065 .082 +11143 .066 .97 -.019 +11144 -.246 1.051 .063 +11145 -.016 1.043 -.05 +11146 -.062 1.075 -.035 +11147 .005 1.133 .161 +11148 .016 1.037 .006 +11149 .021 1.036 -.013 +11150 .048 .995 -.02 +11151 .031 1.019 .015 +11152 .051 .992 -.093 +11153 .045 .984 -.055 +11154 .053 1.116 .098 +11155 -.048 1.162 .191 +11156 .1 1.071 .048 +11157 .096 1.025 -.011 +11158 -.132 1.154 .154 +11159 -.229 1.123 .071 +11160 -.227 1.067 .041 +11161 -.225 1.089 .039 +11162 .087 .999 -.072 +11163 -.257 1.096 .022 +11164 0 1.002 -.005 +11165 -.053 1.043 -.002 +11166 .072 1.075 .174 +11167 0 .975 .046 +11168 .029 .992 .021 +11169 .04 .945 -.026 +11170 .016 .974 .017 +11171 .049 .94 -.096 +11172 .046 .943 -.056 +11173 .094 1.038 .056 +11174 -.009 1.096 .182 +11175 .108 .999 0 +11176 .081 .96 -.047 +11177 -.092 1.116 .123 +11178 -.154 1.08 .071 +11179 -.215 .983 .034 +11180 -.232 1.015 .034 +11181 .058 .946 -.107 +11182 -.222 1.046 .025 +11183 -.005 .969 .017 +11184 -.067 1.011 .021 +11185 .115 .984 .102 +11186 .012 .894 .067 +11187 .039 .945 .037 +11188 .037 .856 -.005 +11189 .013 .88 .056 +11190 .045 .85 -.092 +11191 .052 .849 -.053 +11192 .121 .935 .002 +11193 .054 1.017 .164 +11194 .1 .891 -.044 +11195 .069 .871 -.051 +11196 -.023 1.022 .152 +11197 -.081 .986 .088 +11198 -.193 .889 .064 +11199 -.242 .924 .044 +11200 .033 .859 -.091 +11201 -.249 .982 .046 +11202 -.007 .931 .032 +11203 -.059 .966 .024 +11204 .158 .923 .083 +11205 .078 .833 .103 +11206 .046 .885 .068 +11207 .036 .742 .04 +11208 .04 .768 .087 +11209 -.01 .765 -.057 +11210 .042 .753 0 +11211 .117 .845 .024 +11212 .098 .947 .141 +11213 .07 .792 -.048 +11214 .016 .768 -.07 +11215 .028 .941 .134 +11216 -.021 .889 .05 +11217 -.158 .818 .082 +11218 -.218 .856 .057 +11219 -.017 .752 -.079 +11220 -.222 .92 .057 +11221 .021 .862 .056 +11222 -.027 .892 .023 +11223 .148 .82 .059 +11224 .103 .753 .094 +11225 .062 .82 .072 +11226 .04 .642 .09 +11227 .072 .67 .102 +11228 -.048 .669 0 +11229 .022 .668 .03 +11230 .087 .75 -.01 +11231 .142 .86 .114 +11232 .036 .695 -.068 +11233 -.018 .673 -.034 +11234 .08 .874 .177 +11235 .021 .812 .099 +11236 -.122 .758 .089 +11237 -.16 .797 .054 +11238 -.035 .689 -.032 +11239 -.107 .824 .062 +11240 .016 .804 .048 +11241 -.016 .785 .051 +11242 .12 .725 -.002 +11243 .107 .689 .068 +11244 .053 .758 .054 +11245 .034 .581 .077 +11246 .079 .606 .072 +11247 -.031 .614 .014 +11248 0 .603 .052 +11249 .062 .675 -.053 +11250 .117 .763 .033 +11251 .018 .606 -.069 +11252 -.004 .589 -.049 +11253 .085 .783 .076 +11254 .04 .756 .089 +11255 -.111 .709 .08 +11256 -.127 .755 .078 +11257 -.017 .607 -.007 +11258 -.053 .779 .055 +11259 .023 .795 -.002 +11260 -.008 .742 0 +11261 .102 .623 -.064 +11262 .078 .729 .017 +11263 .042 .787 .022 +11264 .021 .605 .045 +11265 .067 .654 .021 +11266 -.026 .593 .02 +11267 .007 .601 .042 +11268 .048 .595 -.081 +11269 .088 .634 -.037 +11270 .055 .56 -.034 +11271 .039 .562 -.034 +11272 .045 .673 .009 +11273 .002 .677 .019 +11274 -.091 .675 .01 +11275 -.093 .683 .015 +11276 -.015 .575 .005 +11277 -.039 .733 .006 +11278 .009 .692 -.029 +11279 -.012 .663 -.019 +11280 .048 .581 -.005 +11281 .01 .673 -.035 +11282 .015 .712 -.021 +11283 .026 .593 -.016 +11284 .024 .626 -.03 +11285 -.003 .569 -.006 +11286 .017 .58 .004 +11287 .037 .571 -.012 +11288 .034 .587 -.006 +11289 .035 .553 -.013 +11290 .038 .549 -.021 +11291 -.002 .629 -.013 +11292 -.031 .653 .02 +11293 -.118 .622 .016 +11294 -.128 .627 .014 +11295 0 .546 -.003 +11296 -.065 .658 0 +11297 -.018 .645 -.024 +11298 -.047 .633 0 +11299 -.001 .535 .043 +11300 -.02 .623 -.057 +11301 -.006 .656 -.038 +11302 -.012 .588 -.07 +11303 -.036 .582 -.095 +11304 .012 .561 -.03 +11305 .006 .571 -.039 +11306 .01 .537 .034 +11307 -.033 .543 .027 +11308 .018 .538 .013 +11309 .039 .563 0 +11310 -.063 .595 .015 +11311 -.073 .642 .034 +11312 -.144 .591 .009 +11313 -.134 .596 .026 +11314 .007 .55 -.014 +11315 -.073 .627 .022 +11316 -.038 .613 -.007 +11317 -.044 .616 .021 +11318 -.058 .465 .076 +11319 -.064 .607 -.057 +11320 -.041 .613 -.022 +11321 -.074 .59 -.113 +11322 -.101 .587 -.111 +11323 .002 .546 -.049 +11324 -.028 .558 -.072 +11325 -.03 .477 .068 +11326 -.1 .478 .054 +11327 -.012 .494 .052 +11328 .019 .541 .018 +11329 -.115 .543 .043 +11330 -.154 .557 .04 +11331 -.185 .568 .031 +11332 -.157 .553 .051 +11333 .019 .571 .01 +11334 -.085 .571 .068 +11335 -.065 .524 .037 +11336 -.08 .508 .054 +11337 -.118 .399 .086 +11338 -.137 .549 -.039 +11339 -.09 .534 .02 +11340 -.146 .518 -.152 +11341 -.17 .531 -.093 +11342 -.011 .456 -.074 +11343 -.044 .481 -.105 +11344 -.084 .392 .061 +11345 -.167 .423 .07 +11346 -.057 .404 .075 +11347 -.026 .439 .052 +11348 -.201 .479 .063 +11349 -.264 .479 .054 +11350 -.226 .494 .033 +11351 -.183 .494 .047 +11352 .016 .471 .002 +11353 -.101 .49 .066 +11354 -.096 .37 .08 +11355 -.11 .369 .111 +11356 -.153 .29 .086 +11357 -.166 .331 .012 +11358 -.114 .35 .059 +11359 -.148 .288 -.116 +11360 -.193 .288 -.059 +11361 -.018 .28 -.054 +11362 -.071 .273 -.103 +11363 -.109 .279 .065 +11364 -.219 .303 .084 +11365 -.085 .28 .07 +11366 -.053 .29 .071 +11367 -.242 .309 .078 +11368 -.303 .335 .077 +11369 -.251 .374 .046 +11370 -.194 .342 .048 +11371 -.026 .279 .018 +11372 -.103 .359 .066 +11373 -.112 .151 .149 +11374 -.115 .181 .17 +11375 -.176 .097 .091 +11376 -.165 .088 .082 +11377 -.131 .117 .103 +11378 -.162 -.007 -.094 +11379 -.201 .027 .006 +11380 -.089 .007 -.002 +11381 -.116 -.012 -.048 +11382 -.119 .091 .085 +11383 -.228 .105 .081 +11384 -.105 .063 .075 +11385 -.096 .04 .069 +11386 -.242 .129 .075 +11387 -.272 .14 .093 +11388 -.274 .236 .06 +11389 -.191 .192 .051 +11390 -.09 .026 .035 +11391 -.111 .189 .095 +11392 -.128 -.198 .155 +11393 -.14 -.163 .146 +11394 -.161 -.113 .106 +11395 -.178 -.169 .112 +11396 -.138 -.177 .145 +11397 -.171 -.219 .031 +11398 -.153 -.196 .115 +11399 -.112 -.171 .068 +11400 -.152 -.172 .023 +11401 -.133 -.122 .103 +11402 -.209 -.101 .098 +11403 -.133 -.12 .099 +11404 -.144 -.13 .101 +11405 -.218 -.095 .085 +11406 -.216 -.077 .064 +11407 -.195 -.038 .047 +11408 -.126 -.116 .076 +11409 -.129 -.152 .09 +11410 -.125 -.108 .137 +11411 -.192 .009 .258 +11412 -.186 -.002 .266 +11413 -.183 -.002 .274 +11414 -.187 -.006 .276 +11415 -.181 -.002 .305 +11416 -.196 -.024 .143 +11417 -.208 -.064 .12 +11418 -.231 -.021 .129 +11419 -.215 -.026 .164 +11420 -.233 -.027 .156 +11421 -.218 -.173 .082 +11422 -.189 -.161 .091 +11423 -.188 -.084 .131 +11424 -.194 -.186 .128 +11425 -.211 -.183 .098 +11426 -.194 -.149 .065 +11427 -.183 -.164 .122 +11428 -.178 -.126 .129 +11429 -.166 -.137 .128 +11430 -.17 -.089 .127 +11431 -.21 -.096 .125 +11432 -.183 -.104 .127 +11433 -.197 -.102 .114 +11434 -.178 -.117 .103 +11435 -.142 -.163 .07 +11436 -.147 -.166 .069 +11437 -.188 -.108 .124 +11438 -.161 -.165 .1 +11439 -.204 -.074 .016 +11440 -.183 -.065 .034 +11441 -.235 .012 .158 +11442 -.19 -.076 .14 +11443 -.213 -.081 .129 +11444 -.247 -.063 .151 +11445 -.18 -.061 .132 +11446 -.216 -.012 .149 +11447 -.186 -.02 .178 +11448 -.237 .007 .162 +11449 -.23 .01 .155 +11450 -.233 -.004 .168 +11451 -.22 .008 .129 +11452 -.21 .006 .122 +11453 -.187 .006 .092 +11454 -.171 -.024 .082 +11455 -.232 -.003 .155 +11456 -.193 -.029 .063 +11457 -.214 0 .177 +11458 -.206 -.053 .166 +11459 -.206 -.04 .169 +11460 -.225 -.007 .187 +11461 -.208 0 .186 +11462 -.23 -.029 .179 +11463 -.197 0 .173 +11464 -.215 -.05 .176 +11465 -.011 .903 .066 +11466 -.012 .904 .063 +11467 -.011 .902 .06 +11468 -.004 .9 .048 +11469 .002 .897 .029 +11470 0 .9 .029 +11471 0 .899 .021 +11472 0 .903 .017 +11473 0 .903 .011 +11474 0 .903 .01 +11475 .006 .905 .013 +11476 .006 .904 .029 +11477 -.003 .904 .049 +11478 -.003 .906 .057 +11479 -.008 .908 .06 +11480 -.01 .908 .065 +11481 -.007 .906 .062 +11482 -.009 .908 .057 +11483 -.01 .904 .067 +11484 -.008 .905 .07 +11485 -.008 .906 .063 +11486 -.005 .907 .046 +11487 -.007 .909 .047 +11488 -.007 .91 .051 +11489 -.008 .91 .052 +11490 -.008 .907 .056 +11491 -.009 .91 .049 +11492 -.005 .902 .07 +11493 -.004 .907 .067 +11494 -.012 .898 .064 +11495 -.005 .905 .047 +11496 -.004 .903 .036 +11497 -.002 .902 .03 +11498 -.002 .903 .026 +11499 0 .906 .026 +11500 -.002 .912 .02 +11501 -.002 .91 .028 +11502 -.011 .918 .042 +11503 -.007 .913 .037 +11504 -.012 .918 .046 +11505 -.006 .917 .051 +11506 -.008 .915 .062 +11507 -.003 .915 .056 +11508 -.005 .913 .019 +11509 -.006 .908 .058 +11510 -.011 .91 .041 +11511 -.012 .91 .047 +11512 -.011 .91 .039 +11513 -.008 .899 .068 +11514 -.012 .9 .065 +11515 -.012 .898 .07 +11516 -.01 .901 .059 +11517 -.213 -.005 .26 +11518 -.214 -.009 .262 +11519 -.211 -.01 .264 +11520 -.211 -.007 .266 +11521 -.214 -.017 .267 +11522 -.214 -.017 .269 +11523 -.212 -.017 .269 +11524 -.214 -.017 .266 +11525 -.214 -.017 .269 +11526 -.214 -.016 .268 +11527 -.214 -.018 .266 +11528 -.214 -.017 .268 +11529 -.211 -.019 .271 +11530 -.212 -.017 .269 +11531 -.213 -.016 .266 +11532 -.215 -.016 .264 +11533 -.215 -.013 .263 +11534 -.214 -.013 .264 +11535 -.21 -.014 .269 +11536 -.211 -.018 .267 +11537 -.214 -.009 .262 +11538 -.211 -.009 .266 +11539 -.214 -.007 .262 +11540 -.212 -.012 .266 +11541 -.214 -.013 .263 +11542 -.21 -.009 .267 +11543 -.214 -.011 .263 +11544 -.212 -.015 .267 +11545 -.213 -.019 .271 +11546 -.213 -.017 .266 +11547 -.212 -.016 .27 +11548 -.214 -.017 .266 +11549 -.212 -.005 .269 +11550 -.213 -.014 .272 +11551 -.213 -.013 .27 +11552 -.212 -.014 .274 +11553 -.212 -.01 .273 +11554 -.213 -.006 .27 +11555 -.212 -.009 .272 +11556 -.213 -.014 .274 +11557 -.212 -.011 .271 +11558 -.212 -.009 .271 +11559 -.213 -.016 .275 +11560 -.212 -.013 .271 +11561 -.212 -.013 .272 +11562 -.212 -.016 .274 +11563 -.212 -.007 .269 +11564 -.213 -.015 .271 +11565 -.214 -.016 .269 +11566 -.213 -.014 .269 +11567 -.214 -.018 .267 +11568 -.214 -.018 .266 +11569 -.213 -.014 .269 +11570 -.212 -.013 .269 +11571 -.213 -.011 .263 +11572 -.212 -.009 .263 +11573 -.215 -.018 .268 +11574 -.213 -.017 .268 +11575 -.215 -.018 .268 +11576 -.213 -.018 .268 +11577 -.214 -.018 .267 +11578 -.213 -.014 .266 +11579 -.213 -.016 .266 +11580 -.211 -.017 .266 +11581 -.213 -.012 .264 +11582 -.212 -.01 .264 +11583 -.213 -.014 .265 +11584 -.212 -.012 .265 +11585 -.212 -.017 .267 +11586 -.214 -.018 .268 +11587 -.212 -.017 .268 +11588 -.214 -.017 .267 +11589 -.212 -.008 .268 +11590 -.212 -.015 .271 +11591 -.213 -.014 .27 +11592 -.21 -.007 .268 +11593 -.212 -.016 .272 +11594 -.212 -.013 .271 +11595 -.212 -.009 .268 +11596 -.211 -.01 .27 +11597 -.212 -.017 .273 +11598 -.213 -.015 .271 +11599 -.212 -.015 .273 +11600 -.21 -.012 .269 +11601 -.21 -.01 .269 +11602 -.212 -.015 .269 +11603 -.21 -.012 .27 +11604 -.212 -.017 .273 +11605 -.213 -.015 .268 +11606 -.213 -.015 .268 +11607 -.214 -.015 .27 +11608 -.214 -.013 .272 +11609 -.215 -.015 .272 +11610 -.215 -.016 .27 +11611 -.216 -.013 .271 +11612 -.215 -.015 .271 +11613 -.214 -.017 .27 +11614 -.215 -.015 .27 +11615 -.214 -.016 .271 +11616 -.214 -.016 .273 +11617 -.215 -.016 .269 +11618 -.215 -.017 .268 +11619 -.215 -.015 .271 +11620 -.215 -.016 .269 +11621 -.214 -.016 .272 +11622 -.215 -.015 .269 +11623 -.216 -.011 .272 +11624 -.216 -.011 .272 +11625 -.213 -.014 .275 +11626 -.216 -.014 .275 +11627 -.215 -.015 .275 +11628 -.215 -.012 .272 +11629 -.213 -.014 .276 +11630 -.216 -.012 .273 +11631 -.216 -.014 .27 +11632 -.214 -.013 .271 +11633 -.215 -.016 .27 +11634 -.215 -.015 .271 +11635 -.215 -.011 .272 +11636 -.214 -.012 .272 +11637 -.214 -.016 .272 +11638 -.215 -.016 .267 +11639 -.215 -.016 .267 +11640 -.214 -.017 .271 +11641 -.214 -.013 .273 +11642 -.214 -.013 .273 +11643 -.214 -.014 .27 +11644 -.215 -.016 .27 +11645 -.214 -.014 .27 +11646 -.215 -.015 .271 +11647 -.216 -.016 .269 +11648 -.214 -.017 .27 +11649 -.214 -.016 .271 +11650 -.214 -.016 .27 +11651 -.215 -.015 .271 +11652 -.214 -.015 .27 +11653 -.214 -.016 .269 +11654 -.216 -.016 .268 +11655 -.214 -.014 .272 +11656 -.214 -.012 .272 +11657 -.214 -.015 .273 +11658 -.213 -.016 .274 +11659 -.215 -.012 .272 +11660 -.214 -.015 .274 +11661 -.214 -.012 .272 +11662 -.213 -.016 .274 +11663 -.216 -.013 .271 +11664 -.216 -.013 .271 +11665 -.213 -.015 .271 +11666 -.213 -.015 .273 +11667 -.022 .952 .017 +11668 -.006 .877 .087 +11669 -.004 .92 .005 +11670 -.005 .886 .085 +11671 -.002 .881 .084 +11672 -.001 .915 .014 +11673 -.002 .916 0 +11674 -.006 .891 .071 +11675 -.027 .946 .025 +11676 -.022 .952 .004 +11677 -.03 .954 -.002 +11678 -.033 .948 .006 +11679 -.005 .883 .096 +11680 -.004 .894 .105 +11681 -.04 .936 .061 +11682 -.038 .933 .069 +11683 -.005 .949 .021 +11684 -.01 .943 .029 +11685 -.013 .934 .017 +11686 -.002 .869 .105 +11687 0 .891 .047 +11688 .005 .884 .052 +11689 -.002 .892 .051 +11690 .001 .925 .02 +11691 0 .909 .018 +11692 0 .905 .013 +11693 .002 .903 .014 +11694 -.006 .911 .058 +11695 -.009 .909 .055 +11696 -.007 .912 .058 +11697 -.006 .925 .057 +11698 -.004 .919 .032 +11699 -.011 .937 .043 +11700 -.008 .929 .04 +11701 -.033 .944 .04 +11702 -.025 .947 .063 +11703 -.014 .941 .044 +11704 -.039 .951 .071 +11705 -.008 .915 .066 +11706 -.041 .953 .076 +11707 -.028 .894 .05 +11708 -.012 .927 .026 +11709 -.008 .913 .03 +11710 .003 .913 .045 +11711 -.004 .911 .035 +11712 -.018 .894 -.016 +11713 -.023 .911 -.016 +11714 -.016 .938 .055 +11715 -.019 .934 .051 +11716 0 .91 .02 +11717 -.003 .915 .056 +11718 0 .911 .032 +11719 -.007 .916 .066 +11720 -.004 .914 .036 +11721 -.008 .917 .067 +11722 -.006 .919 .059 +11723 -.008 .92 .062 +11724 -.009 .924 .064 +11725 -.008 .925 .064 +11726 -.011 .927 .066 +11727 -.008 .929 .063 +11728 -.013 .928 .068 +11729 -.008 .931 .064 +11730 -.015 .931 .07 +11731 -.008 .933 .065 +11732 -.014 .934 .073 +11733 -.007 .935 .067 +11734 -.014 .935 .075 +11735 -.008 .937 .068 +11736 -.013 .931 .084 +11737 -.012 .929 .086 +11738 -.008 .928 .084 +11739 -.012 .927 .088 +11740 -.008 .933 .079 +11741 -.011 .926 .089 +11742 0 .902 .011 +11743 -.009 .909 .058 +11744 -.002 .913 .026 +11745 -.005 .916 .061 +11746 0 .911 .04 +11747 -.018 .94 .033 +11748 -.035 .943 .047 +11749 .008 .877 .051 +11750 .003 .899 .019 +11751 .01 .86 .049 +11752 0 .889 .054 +11753 .002 .924 .018 +11754 -.024 .899 .057 +11755 -.026 .918 .054 +11756 0 .885 .029 +11757 0 .883 .035 +11758 -.017 .886 .049 +11759 -.019 .896 .061 +11760 0 .935 .02 +11761 -.009 .954 .016 +11762 -.018 .949 .036 +11763 -.023 .896 .063 +11764 -.028 .947 .04 +11765 -.053 .908 .06 +11766 -.047 .912 .069 +11767 -.047 .897 .061 +11768 -.041 .903 .061 +11769 -.011 .886 .049 +11770 0 .883 .035 +11771 .008 .885 .044 +11772 .001 .886 .032 +11773 -.006 .886 .027 +11774 -.011 .887 .025 +11775 -.003 .897 .034 +11776 -.006 .887 .029 +11777 -.002 .888 .028 +11778 -.015 .882 .036 +11779 -.009 .892 .028 +11780 0 .894 .028 +11781 0 .89 .039 +11782 -.015 .873 .039 +11783 -.01 .876 .034 +11784 -.015 .88 .038 +11785 -.021 .88 .046 +11786 -.016 .876 .042 +11787 -.027 .936 .072 +11788 -.03 .912 .073 +11789 -.041 .91 .06 +11790 -.028 .951 .07 +11791 -.027 .918 .07 +11792 -.03 .912 .065 +11793 -.035 .945 .07 +11794 -.023 .918 .063 +11795 -.027 .91 .059 +11796 -.032 .939 .066 +11797 -.02 .92 .051 +11798 -.028 .91 .046 +11799 -.02 .939 .066 +11800 -.015 .926 .042 +11801 -.022 .919 .045 +11802 .019 .943 .05 +11803 -.012 .937 .048 +11804 .029 .959 .012 +11805 .027 .948 .025 +11806 -.025 .92 .05 +11807 .026 .943 .04 +11808 .006 .946 .051 +11809 -.02 .924 .042 +11810 -.012 .927 .036 +11811 -.01 .932 .043 +11812 -.027 .902 .048 +11813 -.026 .914 .046 +11814 -.031 .902 .049 +11815 -.038 .905 .051 +11816 -.042 .907 .044 +11817 -.037 .904 .043 +11818 -.005 .881 .036 +11819 -.03 .888 .055 +11820 -.022 .95 .014 +11821 -.012 .888 .029 +11822 -.003 .882 .031 +11823 -.003 .886 .027 +11824 .005 .884 .042 +11825 .002 .886 .03 +11826 -.005 .884 .029 +11827 -.011 .884 .028 +11828 -.012 .886 .047 +11829 -.027 .951 .013 +11830 .003 .888 .03 +11831 0 .888 .021 +11832 -.006 .887 .021 +11833 -.01 .878 .033 +11834 -.015 .875 .043 +11835 -.014 .867 .041 +11836 -.02 .86 .047 +11837 -.033 .872 .054 +11838 -.007 .911 .062 +11839 -.038 .911 .05 +11840 .011 .912 .063 +11841 .023 .916 .047 +11842 -.044 .912 .041 +11843 -.048 .914 .042 +11844 -.026 .897 .043 +11845 -.024 .909 .039 +11846 -.027 .911 .038 +11847 -.034 .869 .056 +11848 -.034 .908 .047 +11849 -.007 .853 -.005 +11850 -.016 .859 .02 +11851 -.028 .873 .049 +11852 .026 .94 .021 +11853 .034 .93 .03 +11854 -.03 .881 .052 +11855 -.018 .931 .045 +11856 -.016 .949 .021 +11857 -.035 .952 .005 +11858 -.012 .961 .012 +11859 -.02 .959 .032 +11860 -.019 .949 .056 +11861 -.022 .952 .058 +11862 -.014 .933 .071 +11863 -.015 .933 .077 +11864 -.007 .912 .087 +11865 -.011 .913 .099 +11866 -.017 .901 .049 +11867 .004 .946 .084 +11868 .006 .948 .078 +11869 .019 .947 .063 +11870 .02 .944 .042 +11871 .012 .943 .043 +11872 -.002 .938 .046 +11873 .012 .944 .046 +11874 .019 .998 -.097 +11875 .004 .99 -.072 +11876 -.029 .983 -.031 +11877 -.039 .968 -.013 +11878 -.02 .955 .019 +11879 .003 .935 .002 +11880 .045 .93 -.014 +11881 .062 .912 -.021 +11882 .05 .921 -.021 +11883 .052 .921 -.027 +11884 .068 .898 -.037 +11885 -.013 .916 -.007 +11886 -.041 .922 .02 +11887 -.053 .938 .01 +11888 -.04 .952 -.007 +11889 -.004 .956 -.056 +11890 .016 .965 -.078 +11891 .045 .915 -.04 +11892 -.035 .916 .052 +11893 -.042 .911 .049 +11894 -.033 .892 .05 +11895 -.042 .889 .049 +11896 -.034 .877 .051 +11897 .006 .892 .025 +11898 0 .892 .018 +11899 -.008 .887 .02 +11900 -.012 .873 .029 +11901 -.011 .865 .031 +11902 -.003 .86 .033 +11903 -.008 .848 .03 +11904 -.021 .876 .038 +11905 -.036 .881 .06 +11906 -.051 .891 .054 +11907 -.052 .905 .05 +11908 -.036 .952 .003 +11909 -.042 .942 .049 +11910 -.03 .95 .029 +11911 -.035 .952 .022 +11912 -.021 .941 .041 +11913 -.012 .941 .076 +11914 -.01 .943 .073 +11915 -.012 .939 .08 +11916 -.012 .937 .081 +11917 -.012 .935 .084 +11918 -.012 .933 .084 +11919 -.01 .934 .084 +11920 -.011 .931 .087 +11921 -.009 .938 .081 +11922 -.011 .93 .087 +11923 .01 .94 .069 +11924 .012 .953 .025 +11925 -.01 .916 .034 +11926 -.02 .933 .043 +11927 -.046 .924 .064 +11928 -.042 .927 .075 +11929 -.029 .93 .079 +11930 -.028 .935 .067 +11931 -.023 .93 .062 +11932 -.019 .928 .053 +11933 -.013 .933 .045 +11934 -.006 .894 .041 +11935 -.038 .94 .052 +11936 -.03 .939 .048 +11937 -.047 .923 .054 +11938 .002 .847 .059 +11939 0 .915 .031 +11940 .004 .916 .026 +11941 -.006 .881 .039 +11942 -.014 .883 .042 +11943 -.004 .849 .053 +11944 -.003 .839 .056 +11945 0 .87 .044 +11946 0 .875 .049 +11947 0 .866 .058 +11948 .004 .852 .067 +11949 .011 .917 .065 +11950 .01 .906 .038 +11951 .009 .901 .027 +11952 .007 .889 .016 +11953 -.006 .863 .037 +11954 -.003 .863 .027 +11955 .002 .886 .015 +11956 -.003 .862 .046 +11957 .006 .988 .02 +11958 0 .999 .039 +11959 -.004 .979 .051 +11960 -.001 .942 .053 +11961 .005 .895 .024 +11962 .01 .897 .027 +11963 0 .875 .022 +11964 .005 .902 .005 +11965 .008 .843 .061 +11966 .002 .843 .059 +11967 .006 1 -.024 +11968 .009 .992 -.003 +11969 -.007 .917 .003 +11970 -.024 .911 .034 +11971 .02 .87 .034 +11972 .01 .878 .02 +11973 .016 .916 -.012 +11974 -.013 .951 0 +11975 -.034 .967 .008 +11976 -.006 .942 .023 +11977 .016 .921 -.007 +11978 -.019 .971 -.021 +11979 -.02 .959 0 +11980 .012 .922 .015 +11981 .011 .981 -.002 +11982 .005 .959 .008 +11983 .037 .918 -.011 +11984 .016 .943 0 +11985 .027 .92 -.005 +11986 -.019 .984 -.026 +11987 -.013 .978 -.038 +11988 -.002 .965 -.021 +11989 -.014 .993 -.026 +11990 .027 .907 .004 +11991 .007 1.008 -.038 +11992 .002 1.004 -.026 +11993 -.066 .901 .034 +11994 -.055 .896 .022 +11995 -.061 .894 .016 +11996 -.064 .895 .017 +11997 -.038 .91 .009 +11998 -.023 .908 .002 +11999 -.028 .905 -.005 +12000 -.029 .907 -.007 +12001 -.018 .921 -.013 +12002 -.008 .921 -.011 +12003 -.011 .921 -.011 +12004 -.014 .921 -.012 +12005 .002 .905 -.008 +12006 .025 .904 -.016 +12007 .044 .921 -.024 +12008 .034 .91 -.023 +12009 .03 .915 -.026 +12010 -.014 .92 -.012 +12011 -.003 .91 -.003 +12012 -.002 .938 .009 +12013 .016 .888 -.022 +12014 -.002 .905 .004 +12015 -.019 .951 .037 +12016 -.02 .936 .006 +12017 0 .919 0 +12018 -.01 .925 0 +12019 .016 .913 -.014 +12020 0 .866 -.015 +12021 -.019 .943 .014 +12022 -.019 .928 0 +12023 -.012 .921 -.01 +12024 .002 .897 0 +12025 0 .899 -.004 +12026 -.007 .907 -.011 +12027 .009 .898 -.002 +12028 .028 .895 .006 +12029 .011 .907 0 +12030 .031 .897 .016 +12031 .036 .912 .017 +12032 -.012 .921 -.006 +12033 -.019 .908 -.005 +12034 0 .923 .017 +12035 .013 .888 -.024 +12036 0 .896 .003 +12037 -.009 .934 .034 +12038 .004 .924 .014 +12039 .017 .909 -.009 +12040 .009 .91 -.002 +12041 .032 .889 -.023 +12042 -.019 .878 -.012 +12043 0 .932 .021 +12044 .009 .923 .008 +12045 -.015 .919 -.008 +12046 0 .888 0 +12047 -.005 .898 -.003 +12048 -.013 .902 -.007 +12049 .028 .873 -.007 +12050 .033 .877 -.005 +12051 .017 .886 0 +12052 .031 .875 .016 +12053 .044 .904 0 +12054 -.016 .921 -.005 +12055 -.024 .915 -.007 +12056 -.017 .897 .013 +12057 .003 .894 -.018 +12058 -.022 .889 -.006 +12059 -.028 .914 .025 +12060 -.019 .925 .013 +12061 .013 .907 0 +12062 -.008 .909 0 +12063 .02 .902 -.013 +12064 -.025 .877 -.004 +12065 -.028 .927 .023 +12066 -.014 .927 .006 +12067 -.021 .916 -.004 +12068 -.013 .891 -.003 +12069 -.011 .892 -.003 +12070 -.015 .899 -.006 +12071 .037 .898 -.009 +12072 .044 .896 -.009 +12073 .025 .891 0 +12074 .031 .889 .008 +12075 .045 .898 .007 +12076 -.021 .921 -.006 +12077 .008 .917 -.027 +12078 -.026 .901 .013 +12079 .042 .89 -.006 +12080 -.026 .892 0 +12081 -.016 .91 .02 +12082 -.014 .917 .021 +12083 .026 .905 0 +12084 .016 .907 .01 +12085 .028 .905 .005 +12086 .003 .884 -.003 +12087 -.041 .914 .025 +12088 -.006 .918 .018 +12089 -.029 .911 -.004 +12090 -.008 .88 .005 +12091 0 .893 0 +12092 -.005 .902 0 +12093 .025 .905 .006 +12094 .025 .919 .007 +12095 .036 .904 -.002 +12096 .024 .905 .003 +12097 .018 .921 .004 +12098 -.022 .915 -.009 +12099 .006 .911 -.008 +12100 -.028 .887 .007 +12101 -.012 .856 .013 +12102 -.024 .88 0 +12103 -.032 .893 .012 +12104 -.021 .9 .016 +12105 0 .904 .003 +12106 -.006 .907 .007 +12107 .036 .866 .015 +12108 -.013 .86 .005 +12109 -.027 .897 .015 +12110 -.014 .904 .012 +12111 -.028 .91 -.004 +12112 -.016 .878 -.005 +12113 -.008 .889 -.002 +12114 -.006 .902 0 +12115 .03 .886 .017 +12116 -.023 .898 .004 +12117 -.003 .901 -.005 +12118 -.019 .903 -.007 +12119 -.029 .902 0 +12120 -.013 .914 -.002 +12121 -.034 .908 -.005 +12122 -.051 .904 -.012 +12123 -.041 .896 -.013 +12124 -.025 .907 -.003 +12125 -.015 .914 0 +12126 -.052 .887 -.013 +12127 -.041 .892 -.014 +12128 -.037 .9 -.01 +12129 -.046 .889 -.008 +12130 -.031 .88 0 +12131 -.007 .905 0 +12132 -.004 .899 0 +12133 -.028 .888 -.002 +12134 -.029 .91 -.005 +12135 -.026 .899 .008 +12136 -.03 .893 .009 +12137 -.032 .878 .009 +12138 -.032 .872 .002 +12139 -.028 .903 0 +12140 -.033 .901 -.007 +12141 -.027 .896 .01 +12142 -.034 .89 .008 +12143 .019 1.028 -.111 +12144 .008 1.018 -.075 +12145 -.015 1.01 -.053 +12146 -.047 .892 .049 +12147 -.031 .917 .058 +12148 -.017 .992 -.046 +12149 -.074 .882 .033 +12150 -.085 .886 .029 +12151 0 .975 -.025 +12152 -.021 .915 .005 +12153 -.002 .933 -.026 +12154 .013 .951 -.007 +12155 .061 .911 -.006 +12156 .059 .921 -.02 +12157 0 .927 -.019 +12158 .051 .934 -.002 +12159 -.069 .899 .025 +12160 -.04 .91 0 +12161 -.016 .921 -.012 +12162 .038 .915 -.023 +12163 -.012 .918 -.01 +12164 .021 .905 0 +12165 -.016 .915 -.009 +12166 .029 .892 -.002 +12167 -.022 .911 -.008 +12168 .03 .892 0 +12169 -.021 .907 -.002 +12170 .031 .902 -.002 +12171 -.021 .906 -.003 +12172 -.011 .903 -.007 +12173 -.043 .884 0 +12174 -.032 .873 .011 +12175 -.039 .888 .005 +12176 -.008 .912 0 +12177 -.039 .878 0 +12178 -.015 .916 -.006 +12179 .018 .916 -.02 +12180 .015 .917 0 +12181 .01 .932 .011 +12182 -.004 .894 0 +12183 -.029 .876 0 +12184 .004 .86 0 +12185 -.014 .907 .021 +12186 -.007 .909 .019 +12187 .022 .919 .01 +12188 .036 .896 .005 +12189 -.029 .91 -.005 +12190 -.002 .901 0 +12191 -.02 .9 .021 +12192 -.029 .898 .017 +12193 .027 .904 .006 +12194 .018 .91 .011 +12195 .034 .903 .003 +12196 .01 .934 .011 +12197 .004 .864 .007 +12198 -.04 .889 .013 +12199 -.02 .905 -.002 +12200 .03 .908 0 +12201 -.06 .905 -.015 +12202 -.034 .912 .002 +12203 -.049 .911 -.005 +12204 -.022 .912 -.004 +12205 -.023 .895 .004 +12206 .025 .91 .005 +12207 -.026 .916 -.008 +12208 -.015 .906 .008 +12209 -.013 .901 0 +12210 -.031 .914 -.007 +12211 -.046 .919 .017 +12212 -.01 .9 -.002 +12213 -.012 .915 -.014 +12214 .017 .903 -.006 +12215 -.059 .896 -.013 +12216 -.061 .885 -.006 +12217 -.041 .898 .002 +12218 -.028 .897 .005 +12219 -.056 .903 -.007 +12220 -.021 .894 .003 +12221 -.022 .908 .006 +12222 -.05 .906 -.007 +12223 -.048 .9 -.002 +12224 -.015 .912 0 +12225 -.058 .899 -.016 +12226 -.052 .902 -.014 +12227 -.047 .905 -.009 +12228 -.016 .909 -.003 +12229 -.005 .908 0 +12230 -.06 .9 -.004 +12231 -.031 .901 0 +12232 -.067 .9 -.016 +12233 -.074 .893 -.011 +12234 .024 .892 -.011 +12235 -.017 .91 -.003 +12236 -.039 .901 .006 +12237 -.054 .878 .011 +12238 -.044 .904 -.005 +12239 -.064 .901 .003 +12240 -.081 .888 0 +12241 -.044 .902 -.011 +12242 -.034 .898 .003 +12243 -.025 .901 0 +12244 -.051 .909 -.007 +12245 -.049 .909 -.01 +12246 -.021 .896 -.002 +12247 -.05 .89 .011 +12248 -.019 .9 0 +12249 -.05 .906 0 +12250 -.015 .921 0 +12251 0 .882 .004 +12252 .022 .887 -.008 +12253 -.045 .909 -.006 +12254 -.053 .907 -.012 +12255 .034 .907 0 +12256 0 .91 -.002 +12257 -.046 .921 .017 +12258 -.023 .913 -.003 +12259 -.017 .907 -.002 +12260 -.04 .911 -.006 +12261 -.014 .904 0 +12262 -.074 .895 .002 +12263 -.036 .923 .009 +12264 .03 .899 -.003 +12265 .024 .896 -.01 +12266 .016 .903 -.012 +12267 -.005 .89 -.003 +12268 .017 .888 .002 +12269 -.004 .891 -.005 +12270 -.008 .883 -.003 +12271 -.033 .913 -.006 +12272 -.06 .91 -.008 +12273 -.039 .915 -.006 +12274 -.069 .904 -.004 +12275 -.072 .902 0 +12276 -.06 .908 -.005 +12277 -.041 .914 -.006 +12278 -.047 .91 -.01 +12279 -.044 .91 -.008 +12280 -.058 .908 -.012 +12281 -.066 .903 -.013 +12282 -.072 .901 -.005 +12283 -.08 .896 0 +12284 -.036 .913 -.006 +12285 -.062 .91 -.008 +12286 -.027 .911 -.004 +12287 -.058 .909 0 +12288 -.037 .913 -.009 +12289 -.056 .909 -.01 +12290 -.039 .915 -.007 +12291 -.049 .909 -.007 +12292 -.045 .912 -.008 +12293 -.043 .913 -.007 +12294 -.069 .901 -.009 +12295 -.08 .894 0 +12296 -.019 .916 -.008 +12297 .019 .929 .01 +12298 -.027 .884 .002 +12299 -.003 .916 .018 +12300 .034 .909 .004 +12301 -.003 .901 0 +12302 -.021 .91 .022 +12303 .03 .906 0 +12304 .032 .905 0 +12305 -.038 .887 0 +12306 .019 .914 -.026 +12307 .027 .912 .005 +12308 0 .895 0 +12309 .013 .874 0 +12310 -.012 .914 .022 +12311 .035 .923 .014 +12312 -.029 .91 -.004 +12313 -.016 .906 .02 +12314 .016 .91 .01 +12315 .027 .931 .015 +12316 .027 .877 -.002 +12317 -.036 .897 .011 +12318 -.02 .905 -.002 +12319 .032 .908 0 +12320 .031 .93 -.012 +12321 -.007 .94 .008 +12322 -.006 .928 .005 +12323 .036 .924 -.026 +12324 -.002 .907 -.006 +12325 -.003 .87 -.021 +12326 0 .929 .003 +12327 .006 .934 0 +12328 0 .881 -.019 +12329 0 .928 -.013 +12330 .038 .907 .008 +12331 .043 .894 -.009 +12332 -.009 .921 -.008 +12333 -.01 .921 -.01 +12334 .037 .886 -.011 +12335 -.004 .906 -.004 +12336 -.007 .912 -.009 +12337 .016 .937 -.005 +12338 .002 .906 -.008 +12339 .008 .917 0 +12340 .017 .913 .01 +12341 .038 .904 -.023 +12342 -.01 .919 -.01 +12343 .041 .89 -.017 +12344 .038 .927 -.024 +12345 -.004 .922 -.012 +12346 .05 .924 -.034 +12347 -.013 .914 -.009 +12348 .009 .933 -.019 +12349 -.012 .898 -.021 +12350 .041 .893 .003 +12351 -.009 .922 -.013 +12352 -.012 .916 -.007 +12353 -.012 .911 -.003 +12354 .042 .906 -.025 +12355 -.009 .906 .012 +12356 -.013 .879 -.02 +12357 0 .925 -.016 +12358 -.009 .924 -.004 +12359 .045 .905 0 +12360 -.014 .923 -.011 +12361 .042 .896 -.019 +12362 -.011 .918 -.01 +12363 .021 .931 -.018 +12364 -.018 .914 -.011 +12365 .012 .903 0 +12366 -.008 .921 -.01 +12367 .04 .899 -.018 +12368 -.213 -.002 .259 +12369 -.213 -.002 .259 +12370 -.21 0 .262 +12371 -.211 -.004 .263 +12372 -.211 .006 .265 +12373 -.21 .002 .266 +12374 -.212 0 .259 +12375 -.212 -.003 .262 +12376 -.21 .005 .263 +12377 -.21 0 .265 +12378 -.213 0 .257 +12379 -.214 0 .256 +12380 -.211 .005 .259 +12381 -.209 0 .264 +12382 -.209 .013 .262 +12383 -.21 .008 .265 +12384 -.212 0 .258 +12385 -.212 0 .259 +12386 -.209 .009 .261 +12387 -.209 .003 .265 +12388 -.212 .011 .254 +12389 -.214 .008 .255 +12390 -.21 .012 .257 +12391 -.211 0 .264 +12392 -.209 .019 .261 +12393 -.207 .014 .264 +12394 -.211 .007 .256 +12395 -.213 .004 .258 +12396 -.209 .017 .26 +12397 -.21 .006 .266 +12398 -.213 -.012 .266 +12399 -.214 -.013 .264 +12400 -.214 -.009 .267 +12401 -.212 -.011 .268 +12402 -.213 -.007 .269 +12403 -.213 -.008 .271 +12404 -.214 -.011 .266 +12405 -.214 -.013 .268 +12406 -.214 -.01 .27 +12407 -.214 -.009 .27 +12408 -.213 -.007 .264 +12409 -.214 -.009 .263 +12410 -.213 -.009 .267 +12411 -.213 -.009 .269 +12412 -.213 -.006 .27 +12413 -.213 -.007 .27 +12414 -.213 -.01 .263 +12415 -.213 -.01 .267 +12416 -.214 -.007 .269 +12417 -.214 -.009 .269 +12418 -.213 -.005 .263 +12419 -.213 -.006 .262 +12420 -.214 -.007 .266 +12421 -.213 -.008 .268 +12422 -.213 -.005 .27 +12423 -.213 -.005 .27 +12424 -.215 -.005 .263 +12425 -.213 -.006 .265 +12426 -.212 -.006 .269 +12427 -.212 -.006 .268 +12428 -.212 0 .261 +12429 -.213 0 .26 +12430 -.213 -.004 .265 +12431 -.212 -.004 .266 +12432 -.211 .001 .268 +12433 -.211 .001 .268 +12434 -.214 0 .261 +12435 -.213 0 .264 +12436 -.213 0 .267 +12437 -.212 0 .267 +12438 -.213 -.009 .271 +12439 -.213 -.011 .27 +12440 -.212 -.012 .269 +12441 -.214 -.014 .266 +12442 -.205 -.09 .108 +12443 -.213 -.008 .27 +12444 -.215 -.014 .266 +12445 -.214 -.015 .267 +12446 -.214 -.013 .268 +12447 -.215 -.014 .269 +12448 -.214 -.011 .27 +12449 -.211 0 .259 +12450 -.213 .002 .258 +12451 -.214 -.002 .265 +12452 -.212 -.002 .266 +12453 -.208 -.091 .058 +12454 -.211 .004 .267 +12455 -.211 .005 .267 +12456 -.215 0 .26 +12457 -.213 0 .263 +12458 -.211 .001 .266 +12459 -.211 0 .267 +12460 -.212 .01 .256 +12461 -.212 .01 .256 +12462 -.214 0 .263 +12463 -.213 0 .265 +12464 -.21 -.089 .014 +12465 -.209 .011 .264 +12466 -.211 .011 .265 +12467 -.212 0 .259 +12468 -.212 .004 .26 +12469 -.21 .006 .265 +12470 -.211 .003 .266 +12471 -.215 -.016 .27 +12472 -.213 -.016 .273 +12473 -.215 -.017 .274 +12474 -.215 -.016 .27 +12475 -.214 -.017 .271 +12476 -.215 -.017 .273 +12477 -.215 -.016 .27 +12478 -.215 -.017 .27 +12479 -.215 -.015 .274 +12480 -.214 -.017 .274 +12481 -.214 -.015 .27 +12482 -.214 -.014 .269 +12483 -.215 -.016 .273 +12484 -.215 -.016 .27 +12485 -.213 -.017 .274 +12486 -.215 -.014 .268 +12487 -.214 -.017 .273 +12488 -.215 -.016 .273 +12489 -.213 -.014 .276 +12490 -.214 -.017 .275 +12491 -.214 -.016 .275 +12492 -.215 -.015 .274 +12493 -.212 -.015 .276 +12494 -.215 -.017 .273 +12495 -.214 -.016 .271 +12496 -.215 -.017 .271 +12497 -.214 -.016 .27 +12498 -.214 -.016 .27 +12499 -.215 -.016 .272 +12500 -.215 -.015 .272 +12501 -.214 -.014 .273 +12502 -.214 -.015 .268 +12503 -.214 -.015 .27 +12504 -.215 -.013 .273 +12505 -.212 -.013 .274 +12506 -.212 -.013 .274 +12507 -.214 -.016 .27 +12508 -.214 -.017 .271 +12509 -.214 -.016 .271 +12510 -.214 -.016 .271 +12511 -.212 -.015 .27 +12512 -.213 -.017 .271 +12513 -.213 -.015 .271 +12514 -.214 -.016 .27 +12515 -.213 -.015 .271 +12516 -.213 -.016 .27 +12517 -.213 -.016 .271 +12518 -.212 -.015 .268 +12519 -.213 -.016 .273 +12520 -.215 -.017 .272 +12521 -.214 -.014 .273 +12522 -.214 -.017 .275 +12523 -.215 -.017 .272 +12524 -.214 -.017 .274 +12525 -.215 -.016 .273 +12526 -.213 -.015 .274 +12527 -.214 -.016 .272 +12528 -.215 -.017 .271 +12529 -.214 -.013 .273 +12530 -.213 -.013 .274 +12531 -.214 -.012 .267 +12532 -.214 -.011 .265 +12533 -.213 -.009 .268 +12534 -.212 -.01 .269 +12535 -.213 -.008 .271 +12536 -.213 -.006 .272 +12537 -.212 -.011 .267 +12538 -.214 -.012 .269 +12539 -.212 -.006 .27 +12540 -.212 -.008 .271 +12541 -.213 -.008 .266 +12542 -.213 -.007 .265 +12543 -.213 -.005 .268 +12544 -.213 -.009 .27 +12545 -.213 -.006 .27 +12546 -.212 -.005 .271 +12547 -.212 -.007 .265 +12548 -.214 -.009 .268 +12549 -.213 -.005 .27 +12550 -.212 -.006 .271 +12551 -.214 -.006 .265 +12552 -.212 -.005 .263 +12553 -.211 -.004 .269 +12554 -.213 -.007 .27 +12555 -.212 -.005 .27 +12556 -.212 -.005 .271 +12557 -.212 -.004 .264 +12558 -.213 -.007 .267 +12559 -.213 -.004 .269 +12560 -.212 -.005 .27 +12561 -.212 0 .262 +12562 -.211 0 .26 +12563 -.212 0 .266 +12564 -.211 0 .267 +12565 -.211 0 .268 +12566 -.212 0 .268 +12567 -.21 0 .262 +12568 -.212 0 .265 +12569 -.212 -.001 .268 +12570 -.211 0 .268 +12571 -.213 -.008 .273 +12572 -.212 -.009 .272 +12573 -.214 -.011 .27 +12574 -.213 -.012 .267 +12575 -.213 -.007 .272 +12576 -.214 -.012 .266 +12577 -.211 -.011 .267 +12578 -.213 -.01 .269 +12579 -.213 -.012 .269 +12580 -.212 -.008 .271 +12581 -.212 0 .262 +12582 -.212 .002 .259 +12583 -.211 0 .266 +12584 -.21 0 .265 +12585 -.21 .004 .268 +12586 -.208 .006 .267 +12587 -.211 0 .262 +12588 -.212 0 .264 +12589 -.212 0 .267 +12590 -.21 .003 .267 +12591 -.21 .009 .259 +12592 -.211 .011 .258 +12593 -.213 .001 .265 +12594 -.211 .002 .265 +12595 -.209 .012 .266 +12596 -.208 .013 .266 +12597 -.213 .004 .26 +12598 -.212 .006 .26 +12599 -.21 .004 .266 +12600 -.209 .006 .267 +12601 -.213 -.013 .269 +12602 -.213 -.014 .271 +12603 -.212 -.014 .271 +12604 -.212 -.013 .269 +12605 -.212 -.015 .27 +12606 -.212 -.015 .271 +12607 -.211 -.013 .27 +12608 -.211 -.013 .27 +12609 -.212 -.009 .271 +12610 -.211 -.012 .271 +12611 -.212 -.012 .268 +12612 -.212 -.012 .268 +12613 -.212 -.013 .272 +12614 -.212 -.012 .269 +12615 -.211 -.014 .271 +12616 -.213 -.012 .268 +12617 -.211 -.016 .272 +12618 -.213 -.016 .271 +12619 -.211 -.008 .274 +12620 -.212 -.014 .274 +12621 -.212 -.016 .275 +12622 -.212 -.016 .272 +12623 -.211 -.009 .275 +12624 -.211 -.017 .273 +12625 -.212 -.015 .27 +12626 -.212 -.015 .27 +12627 -.212 -.013 .27 +12628 -.212 -.014 .27 +12629 -.212 -.015 .271 +12630 -.212 -.015 .272 +12631 -.212 -.01 .272 +12632 -.212 -.01 .268 +12633 -.211 -.011 .269 +12634 -.211 -.008 .27 +12635 -.21 -.003 .273 +12636 -.212 -.006 .273 +12637 -.212 -.013 .27 +12638 -.211 -.013 .27 +12639 -.212 -.014 .27 +12640 -.212 -.014 .27 +12641 -.212 -.011 .269 +12642 -.211 -.012 .271 +12643 -.212 -.013 .272 +12644 -.211 -.012 .27 +12645 -.212 -.015 .271 +12646 -.212 -.013 .27 +12647 -.211 -.011 .271 +12648 -.211 -.009 .269 +12649 -.213 -.016 .272 +12650 -.212 -.014 .271 +12651 -.211 -.008 .272 +12652 -.212 -.014 .274 +12653 -.212 -.016 .272 +12654 -.211 -.013 .273 +12655 -.212 -.016 .272 +12656 -.211 -.011 .273 +12657 -.212 -.015 .27 +12658 -.212 -.015 .271 +12659 -.212 -.006 .272 +12660 -.211 -.007 .272 +12661 -.211 -.005 .267 +12662 -.211 -.004 .266 +12663 -.211 0 .268 +12664 -.21 -.002 .269 +12665 -.212 0 .27 +12666 -.211 0 .271 +12667 -.212 0 .266 +12668 -.212 -.005 .267 +12669 -.211 0 .269 +12670 -.211 -.001 .271 +12671 -.211 -.004 .266 +12672 -.212 -.002 .264 +12673 -.211 0 .267 +12674 -.211 -.004 .269 +12675 -.211 .001 .27 +12676 -.211 0 .271 +12677 -.212 0 .266 +12678 -.212 -.004 .267 +12679 -.21 .001 .269 +12680 -.21 0 .27 +12681 -.212 0 .265 +12682 -.212 0 .264 +12683 -.211 0 .267 +12684 -.211 -.001 .268 +12685 -.211 .001 .269 +12686 -.211 0 .271 +12687 -.211 0 .265 +12688 -.211 0 .266 +12689 -.211 .002 .269 +12690 -.211 0 .27 +12691 -.209 .005 .263 +12692 -.211 .006 .261 +12693 -.211 .004 .266 +12694 -.211 .003 .267 +12695 -.209 .006 .269 +12696 -.21 .006 .269 +12697 -.212 .004 .262 +12698 -.211 .004 .264 +12699 -.21 .006 .269 +12700 -.21 .004 .268 +12701 -.211 -.004 .273 +12702 -.211 -.006 .271 +12703 -.211 -.007 .27 +12704 -.212 -.006 .267 +12705 -.211 -.002 .271 +12706 -.212 -.005 .265 +12707 -.211 -.006 .268 +12708 -.211 -.003 .269 +12709 -.211 -.009 .269 +12710 -.211 -.002 .27 +12711 -.209 .006 .261 +12712 -.21 .01 .26 +12713 -.211 .004 .266 +12714 -.209 .006 .265 +12715 -.21 .01 .267 +12716 -.208 .008 .269 +12717 -.21 .006 .262 +12718 -.21 .006 .263 +12719 -.21 .006 .268 +12720 -.208 .008 .268 +12721 -.21 .013 .26 +12722 -.209 .014 .258 +12723 -.211 .003 .265 +12724 -.209 .007 .265 +12725 -.207 .015 .266 +12726 -.208 .015 .267 +12727 -.212 .008 .261 +12728 -.209 .008 .261 +12729 -.209 .007 .266 +12730 -.208 .011 .267 +12731 -.21 .005 .265 +12732 -.208 .005 .266 +12733 -.208 .007 .269 +12734 -.207 .007 .269 +12735 -.21 .005 .262 +12736 -.208 .005 .263 +12737 -.209 .004 .266 +12738 -.207 .006 .267 +12739 -.209 .006 .264 +12740 -.208 .01 .265 +12741 -.208 .008 .268 +12742 -.208 .012 .269 +12743 -.21 .006 .262 +12744 -.209 .007 .262 +12745 -.209 .006 .265 +12746 -.207 .009 .267 +12747 -.208 .01 .261 +12748 -.207 .013 .264 +12749 -.207 .012 .268 +12750 -.207 .016 .267 +12751 -.209 .013 .26 +12752 -.209 .015 .262 +12753 -.209 .005 .265 +12754 -.207 .015 .267 +12755 -.213 -.015 .268 +12756 -.213 -.012 .27 +12757 -.213 -.015 .272 +12758 -.213 -.014 .274 +12759 -.214 -.015 .275 +12760 -.212 -.011 .272 +12761 -.212 -.008 .271 +12762 -.213 -.008 .271 +12763 -.213 -.006 .27 +12764 -.211 .003 .265 +12765 -.21 .009 .264 +12766 -.21 .017 .261 +12767 -.213 -.012 .261 +12768 -.214 -.013 .263 +12769 -.214 -.014 .265 +12770 -.212 -.013 .269 +12771 -.213 -.017 .265 +12772 -.214 -.015 .266 +12773 -.214 -.018 .266 +12774 -.214 -.014 .268 +12775 -.214 -.018 .267 +12776 -.213 -.017 .268 +12777 -.213 -.015 .268 +12778 -.213 .015 .252 +12779 -.213 .003 .256 +12780 -.214 -.006 .261 +12781 -.213 -.002 .258 +12782 -.213 -.01 .26 +12783 -.241 -.034 .216 +12784 -.235 -.047 .226 +12785 -.208 .03 .251 +12786 -.207 .014 .25 +12787 -.206 -.002 .2 +12788 -.201 .02 .216 +12789 -.2 -.033 .204 +12790 -.199 -.044 .201 +12791 -.198 -.016 .166 +12792 -.191 -.026 .229 +12793 -.192 -.027 .225 +12794 -.206 -.008 .189 +12795 -.208 .031 .239 +12796 -.208 .034 .248 +12797 -.215 .005 .24 +12798 -.222 .012 .234 +12799 -.238 -.047 .245 +12800 -.233 -.044 .264 +12801 -.19 0 .274 +12802 -.205 0 .273 +12803 -.168 -.036 .231 +12804 -.17 -.014 .25 +12805 -.168 -.042 .206 +12806 -.19 -.042 .185 +12807 -.187 -.046 .178 +12808 -.172 -.037 .246 +12809 -.183 -.016 .275 +12810 -.181 -.033 .201 +12811 -.184 0 .268 +12812 -.189 .002 .274 +12813 -.213 -.014 .269 +12814 -.216 -.027 .257 +12815 -.2 -.088 .165 +12816 -.221 -.055 .249 +12817 -.22 -.043 .24 +12818 -.21 -.024 .29 +12819 -.213 -.036 .265 +12820 -.205 -.058 .2 +12821 -.188 -.032 .222 +12822 -.182 -.017 .235 +12823 -.183 -.062 .235 +12824 -.182 -.048 .199 +12825 -.201 -.03 .309 +12826 -.183 -.04 .207 +12827 -.191 -.011 .256 +12828 -.197 -.024 .285 +12829 -.214 -.052 .252 +12830 -.218 -.063 .248 +12831 -.224 -.079 .212 +12832 -.219 -.049 .242 +12833 -.215 -.045 .242 +12834 -.183 -.037 .195 +12835 -.212 -.045 .206 +12836 -.276 -.102 .176 +12837 -.186 -.086 .132 +12838 -.194 -.038 .19 +12839 -.192 -.052 .269 +12840 -.232 -.06 .301 +12841 -.186 -.05 .192 +12842 -.214 -.044 .23 +12843 -.217 -.045 .243 +12844 -.219 -.044 .215 +12845 -.208 -.075 .214 +12846 -.23 -.03 .248 +12847 -.232 -.008 .278 +12848 -.256 -.038 .301 +12849 -.245 -.009 .298 +12850 -.228 -.033 .268 +12851 -.242 -.008 .31 +12852 -.221 -.021 .318 +12853 -.235 -.022 .308 +12854 -.21 -.036 .244 +12855 -.205 -.021 .288 +12856 -.19 -.006 .305 +12857 -.196 -.002 .307 +12858 -.21 -.021 .279 +12859 -.2 -.019 .278 +12860 -.206 -.021 .278 +12861 -.188 -.023 .234 +12862 -.203 -.053 .235 +12863 -.189 -.022 .24 +12864 -.201 -.048 .237 +12865 -.198 -.009 .289 +12866 -.189 -.045 .319 +12867 -.2 -.012 .293 +12868 -.189 -.024 .313 +12869 -.216 -.015 .323 +12870 -.19 .024 .299 +12871 -.217 .006 .319 +12872 -.219 .04 .302 +12873 -.236 -.033 .315 +12874 -.247 .026 .258 +12875 -.242 -.017 .307 +12876 -.248 .001 .293 +12877 -.219 -.046 .297 +12878 -.198 -.026 .296 +12879 -.199 -.019 .281 +12880 -.199 -.02 .267 +12881 -.202 -.033 .249 +12882 -.202 -.044 .242 +12883 -.203 -.05 .234 +12884 -.24 -.05 .299 +12885 -.232 -.029 .133 +12886 -.173 .009 .305 +12887 -.169 .001 .303 +12888 -.166 -.008 .3 +12889 -.172 -.01 .31 +12890 -.185 -.006 .306 +12891 -.186 -.016 .322 +12892 -.177 -.012 .323 +12893 -.175 -.02 .319 +12894 -.174 -.021 .313 +12895 -.17 -.031 .306 +12896 -.205 -.007 .33 +12897 -.246 -.013 .284 +12898 -.258 -.06 .273 +12899 -.262 -.086 .251 +12900 -.249 -.032 .288 +12901 -.231 -.108 .11 +12902 -.219 -.087 .178 +12903 -.199 -.051 .199 +12904 -.217 -.095 .183 +12905 -.206 -.085 .193 +12906 -.199 -.061 .204 +12907 -.219 -.045 .217 +12908 -.212 -.026 .224 +12909 -.233 -.117 .092 +12910 -.228 -.061 .211 +12911 -.225 -.095 .192 +12912 -.23 -.106 .137 +12913 -.211 -.063 .195 +12914 -.22 -.097 .15 +12915 -.235 -.075 .252 +12916 -.236 -.099 .218 +12917 -.239 -.047 .248 +12918 -.222 -.065 .211 +12919 -.232 -.077 .213 +12920 -.227 -.063 .231 +12921 -.229 -.103 .08 +12922 -.255 -.096 .136 +12923 -.245 -.109 .085 +12924 -.229 -.1 .079 +12925 -.234 -.106 .096 +12926 -.237 -.157 .175 +12927 -.186 -.009 .124 +12928 -.229 -.124 .164 +12929 -.236 -.14 .184 +12930 -.238 -.123 .192 +12931 -.224 -.169 .194 +12932 -.087 .687 -.099 +12933 -.249 -.142 .221 +12934 -.261 -.113 .242 +12935 -.188 -.054 .177 +12936 -.23 -.076 .196 +12937 -.235 -.087 .181 +12938 -.22 -.087 .178 +12939 -.197 -.078 .178 +12940 -.218 -.074 .158 +12941 -.229 -.096 .176 +12942 -.196 -.062 .159 +12943 -.242 -.08 .154 +12944 -.227 -.09 .152 +12945 -.251 -.053 .122 +12946 -.243 -.073 .112 +12947 -.239 -.113 .071 +12948 -.234 -.109 .078 +12949 -.235 -.095 .095 +12950 -.226 -.085 .016 +12951 -.235 -.117 .017 +12952 -.244 -.112 .013 +12953 -.245 -.109 .03 +12954 -.227 -.101 .019 +12955 -.213 -.078 .046 +12956 -.226 -.063 .028 +12957 -.184 .008 .14 +12958 -.189 -.048 .129 +12959 -.212 -.092 .146 +12960 -.25 -.053 .149 +12961 -.178 -.057 .036 +12962 -.213 -.061 .081 +12963 -.224 -.057 .036 +12964 -.184 -.024 .106 +12965 -.208 -.072 .148 +12966 -.209 -.057 .172 +12967 -.22 -.034 .206 +12968 -.218 -.089 .011 +12969 -.215 -.051 .164 +12970 -.267 -.076 .194 +12971 -.19 -.047 .142 +12972 -.225 -.045 .041 +12973 -.203 -.058 .134 +12974 -.222 -.076 .147 +12975 -.251 -.068 .132 +12976 -.201 -.05 .067 +12977 -.239 -.118 .202 +12978 -.2 -.019 .174 +12979 -.209 -.024 .208 +12980 -.184 -.036 .16 +12981 -.23 -.039 .209 +12982 -.232 -.041 .207 +12983 -.227 -.046 .187 +12984 -.222 -.05 .103 +12985 -.202 -.068 .169 +12986 -.183 -.06 .215 +12987 -.064 .688 -.12 +12988 -.226 -.13 .161 +12989 -.106 .721 -.052 +12990 -.115 .721 -.043 +12991 -.128 .712 -.041 +12992 -.152 .703 -.033 +12993 -.189 .707 -.012 +12994 -.223 .751 .03 +12995 -.257 .848 .083 +12996 -.286 1.006 .108 +12997 -.271 1.048 .081 +12998 -.262 1.078 .043 +12999 -.219 1.014 .029 +13000 -.153 .922 .053 +13001 -.099 .839 .078 +13002 -.051 .773 .091 +13003 -.046 .724 .091 +13004 -.065 .665 .023 +13005 -.099 .647 .027 +13006 -.136 .654 .036 +13007 -.188 .592 .047 +13008 -.255 .501 .049 +13009 -.298 .374 .041 +13010 -.302 .222 .058 +13011 -.206 -.057 .051 +13012 -.185 -.135 .086 +13013 -.155 -.132 .09 +13014 -.196 .013 .108 +13015 -.261 .002 .267 +13016 -.279 .005 .291 +13017 -.286 -.008 .291 +13018 -.263 -.075 .268 +13019 -.284 -.039 .292 +13020 -.214 -.027 .249 +13021 -.207 -.03 .252 +13022 -.218 -.045 .246 +13023 -.218 -.089 .209 +13024 -.213 -.107 .188 +13025 -.213 -.096 .189 +13026 -.178 -.049 .194 +13027 -.201 -.074 .196 +13028 -.167 0 .141 +13029 -.174 -.027 .175 +13030 -.18 -.093 .231 +13031 -.177 -.041 .308 +13032 -.168 -.043 .297 +13033 -.233 -.14 .191 +13034 -.204 -.081 .264 +13035 -.178 -.066 .22 +13036 -.259 -.043 .177 +13037 -.245 -.125 .215 +13038 -.229 -.098 .229 +13039 -.274 -.099 .257 +13040 -.285 -.058 .274 +13041 -.28 -.027 .281 +13042 -.267 -.007 .293 +13043 -.253 -.004 .288 +13044 -.18 .016 .308 +13045 -.179 -.006 .318 +13046 -.211 .032 .25 +13047 -.192 .006 .253 +13048 -.193 -.014 .277 +13049 -.192 .027 .248 +13050 -.21 -.018 .219 +13051 -.197 -.029 .21 +13052 -.202 -.027 .236 +13053 -.237 -.017 .226 +13054 -.213 -.026 .207 +13055 -.247 -.016 .242 +13056 -.2 -.016 .254 +13057 -.205 -.011 .205 +13058 -.203 -.012 .214 +13059 -.191 -.027 .217 +13060 -.24 -.012 .26 +13061 -.197 -.007 .216 +13062 -.219 -.007 .23 +13063 -.209 .01 .233 +13064 -.237 .003 .249 +13065 -.199 -.004 .235 +13066 -.198 -.003 .227 +13067 -.202 .006 .214 +13068 -.194 -.014 .245 +13069 -.196 -.004 .257 +13070 -.214 -.016 .267 +13071 -.214 -.016 .267 +13072 -.215 -.016 .269 +13073 -.214 -.016 .276 +13074 -.213 -.015 .276 +13075 -.215 -.017 .274 +13076 -.211 0 .271 +13077 -.21 -.001 .272 +13078 -.211 -.005 .273 +13079 -.212 -.014 .27 +13080 -.214 -.013 .273 +13081 -.213 -.008 .271 +13082 -.213 -.009 .27 +13083 -.213 -.005 .27 +13084 -.216 -.011 .272 +13085 -.215 -.013 .275 +13086 -.213 -.015 .276 +13087 -.21 -.01 .275 +13088 -.214 -.015 .27 +13089 -.214 -.015 .269 +13090 -.212 -.005 .266 +13091 -.211 -.003 .263 +13092 -.211 0 .262 +13093 -.212 -.016 .275 +13094 -.212 -.016 .273 +13095 -.212 -.005 .271 +13096 -.211 .012 .257 +13097 -.212 .005 .26 +13098 -.212 0 .26 +13099 -.211 .009 .261 +13100 -.21 .016 .258 +13101 -.208 .019 .266 +13102 -.213 -.005 .263 +13103 -.212 -.012 .268 +13104 -.212 -.011 .268 +13105 -.212 -.011 .268 +13106 -.211 .005 .261 +13107 -.213 -.015 .271 +13108 -.213 -.005 .262 +13109 -.214 -.007 .263 +13110 -.214 -.012 .264 +13111 -.214 -.013 .265 +13112 -.214 -.015 .269 +13113 -.215 -.014 .27 +13114 -.214 -.014 .27 +13115 -.215 -.015 .271 +13116 -.207 .018 .267 +13117 -.207 .011 .269 +13118 -.21 0 .27 +13119 -.215 -.016 .269 +13120 -.212 .015 .255 +13121 -.212 .002 .259 +13122 -.213 0 .26 +13123 -.212 -.012 .274 +13124 -.212 -.014 .272 +13125 -.212 -.014 .271 +13126 -.212 -.015 .27 +13127 -.214 -.009 .265 +13128 -.214 -.012 .266 +13129 -.214 -.012 .266 +13130 -.214 -.013 .27 +13131 -.215 -.012 .27 +13132 -.214 -.012 .272 +13133 -.215 -.011 .272 +13134 -.213 -.005 .27 +13135 -.211 .001 .268 +13136 -.211 .005 .267 +13137 -.207 .019 .263 +13138 -.211 -.014 .27 +13139 -.213 -.013 .269 +13140 -.212 -.012 .269 +13141 -.213 -.007 .272 +13142 -.213 -.008 .272 +13143 -.213 -.006 .271 +13144 -.209 .009 .262 +13145 -.215 -.016 .271 +13146 -.214 -.017 .272 +13147 -.215 -.017 .273 +13148 -.211 -.006 .267 +13149 -.209 .005 .263 +13150 -.208 .009 .269 +13151 -.211 0 .27 +13152 -.211 .005 .269 +13153 -.209 .009 .269 +13154 -.209 .018 .264 +13155 -.209 .006 .268 +13156 -.211 0 .268 +13157 -.215 -.017 .271 +13158 -.214 -.017 .271 +13159 -.214 -.017 .27 +13160 -.215 -.018 .27 +13161 -.21 -.008 .27 +13162 -.212 -.011 .271 +13163 -.211 -.013 .272 +13164 -.211 -.009 .271 +13165 -.211 -.012 .271 +13166 -.211 -.012 .272 +13167 -.211 -.01 .271 +13168 -.21 -.008 .27 +13169 -.21 -.005 .27 +13170 -.21 -.007 .272 +13171 -.21 -.006 .269 +13172 -.21 -.007 .268 +13173 -.21 -.01 .27 +13174 -.21 -.008 .269 +13175 -.21 -.01 .272 +13176 -.211 -.007 .268 +13177 -.211 -.013 .272 +13178 -.211 -.013 .272 +13179 -.209 -.004 .273 +13180 -.21 -.01 .273 +13181 -.21 -.011 .274 +13182 -.212 -.013 .272 +13183 -.21 -.005 .274 +13184 -.211 -.014 .273 +13185 -.21 -.012 .271 +13186 -.211 -.011 .272 +13187 -.211 -.009 .271 +13188 -.21 -.009 .27 +13189 -.212 -.013 .272 +13190 -.212 -.012 .272 +13191 -.209 -.008 .272 +13192 -.211 -.007 .268 +13193 -.211 -.008 .269 +13194 -.21 -.005 .269 +13195 -.209 -.002 .273 +13196 -.21 -.005 .273 +13197 -.211 -.009 .271 +13198 -.211 -.011 .272 +13199 -.21 -.009 .271 +13200 -.211 -.009 .272 +13201 -.21 -.006 .269 +13202 -.21 -.009 .271 +13203 -.21 -.008 .272 +13204 -.211 -.008 .27 +13205 -.211 -.009 .272 +13206 -.211 -.01 .27 +13207 -.21 -.007 .27 +13208 -.21 -.006 .269 +13209 -.212 -.013 .273 +13210 -.212 -.012 .272 +13211 -.209 -.003 .27 +13212 -.21 -.009 .274 +13213 -.21 -.013 .271 +13214 -.211 -.008 .272 +13215 -.211 -.013 .272 +13216 -.211 -.007 .272 +13217 -.211 -.012 .272 +13218 -.211 -.012 .272 +13219 -.209 -.003 .27 +13220 -.211 -.007 .272 +13221 -.211 -.005 .269 +13222 -.211 -.004 .267 +13223 -.209 -.001 .268 +13224 -.21 -.005 .271 +13225 -.209 0 .272 +13226 -.209 -.001 .272 +13227 -.21 -.002 .266 +13228 -.21 -.005 .268 +13229 -.209 0 .27 +13230 -.21 -.004 .271 +13231 -.21 -.005 .268 +13232 -.211 0 .266 +13233 -.208 0 .267 +13234 -.21 -.003 .27 +13235 -.21 .002 .269 +13236 -.209 0 .271 +13237 -.209 0 .266 +13238 -.211 -.004 .267 +13239 -.21 .001 .27 +13240 -.21 -.002 .271 +13241 -.21 0 .266 +13242 -.209 0 .265 +13243 -.208 0 .267 +13244 -.209 -.002 .269 +13245 -.209 .002 .27 +13246 -.209 0 .271 +13247 -.21 0 .266 +13248 -.21 -.002 .269 +13249 -.21 .002 .269 +13250 -.21 -.002 .27 +13251 -.211 0 .265 +13252 -.209 0 .264 +13253 -.208 .003 .266 +13254 -.208 0 .268 +13255 -.208 .003 .27 +13256 -.209 .002 .271 +13257 -.209 0 .266 +13258 -.209 0 .268 +13259 -.209 .002 .269 +13260 -.209 0 .27 +13261 -.209 -.004 .273 +13262 -.21 -.006 .274 +13263 -.209 -.007 .271 +13264 -.21 -.006 .268 +13265 -.209 -.002 .273 +13266 -.21 -.006 .267 +13267 -.21 -.004 .267 +13268 -.21 -.003 .269 +13269 -.21 -.006 .269 +13270 -.21 -.003 .271 +13271 -.21 0 .272 +13272 -.208 -.003 .274 +13273 -.209 -.004 .274 +13274 -.211 -.01 .271 +13275 -.209 -.003 .274 +13276 -.211 -.005 .268 +13277 -.21 -.004 .267 +13278 -.211 0 .265 +13279 -.211 -.011 .274 +13280 -.212 -.015 .274 +13281 -.211 -.007 .268 +13282 -.211 -.006 .268 +13283 -.211 -.006 .268 +13284 -.21 0 .264 +13285 -.211 -.014 .272 +13286 -.209 .001 .27 +13287 -.212 -.014 .272 +13288 -.211 -.012 .272 +13289 -.211 -.011 .271 +13290 -.211 -.009 .27 +13291 -.211 -.009 .27 +13292 -.211 -.007 .27 +13293 -.21 -.006 .267 +13294 -.209 .001 .271 +13295 -.208 .002 .27 +13296 -.208 .014 .261 +13297 -.208 .007 .269 +13298 -.209 .007 .269 +13299 -.213 -.012 .272 +13300 -.204 -.028 .235 +13301 -.202 -.023 .192 +13302 -.203 -.019 .184 +13303 -.201 -.031 .187 +13304 -.218 -.042 .212 +13305 -.228 -.041 .203 +13306 -.229 .013 .216 +13307 -.22 .016 .219 +13308 -.212 .005 .22 +13309 -.211 .011 .211 +13310 -.217 .029 .213 +13311 -.224 .04 .218 +13312 -.225 .046 .217 +13313 -.223 .033 .201 +13314 -.223 .01 .178 +13315 -.221 .013 .174 +13316 -.2 -.023 .2 +13317 -.202 -.033 .206 +13318 -.241 -.026 .284 +13319 -.246 -.032 .284 +13320 -.222 -.036 .271 +13321 -.213 -.021 .258 +13322 -.212 -.019 .246 +13323 -.205 -.038 .206 +13324 -.207 -.037 .208 +13325 -.206 -.025 .213 +13326 -.207 -.025 .216 +13327 -.209 -.022 .221 +13328 -.208 -.015 .242 +13329 -.212 0 .155 +13330 -.205 -.019 .17 +13331 -.197 -.02 .223 +13332 -.132 .954 .13 +13333 -.198 .967 .133 +13334 -.257 .963 .118 +13335 -.289 .956 .113 +13336 -.293 .95 .13 +13337 -.271 .94 .116 +13338 -.208 .923 .095 +13339 -.135 .874 .041 +13340 -.053 .813 .026 +13341 -.023 .777 .018 +13342 -.037 .784 .018 +13343 -.018 .798 .002 +13344 .024 .847 -.046 +13345 .042 .876 -.01 +13346 .011 .887 .008 +13347 -.023 .898 -.032 +13348 -.026 .915 -.05 +13349 -.02 .928 -.017 +13350 -.022 .931 .087 +13351 -.081 .945 .16 +13352 -.01 .903 .061 +13353 -.012 .904 .064 +13354 -.004 .903 .019 +13355 -.004 .901 .028 +13356 -.004 .9 .032 +13357 -.006 .902 .047 +13358 -.01 .904 .06 +13359 -.01 .902 .062 +13360 -.003 .912 .054 +13361 -.004 .914 .056 +13362 -.005 .913 .059 +13363 -.004 .91 .06 +13364 -.007 .91 .066 +13365 -.003 .91 .055 +13366 0 .907 .018 +13367 -.009 .916 .06 +13368 -.01 .918 .064 +13369 -.008 .908 .067 +13370 -.008 .919 .062 +13371 -.007 .905 .065 +13372 -.006 .916 .062 +13373 0 .913 .046 +13374 .002 .909 .029 +13375 -.002 .908 .017 +13376 -.003 .907 .016 +13377 -.003 .905 .017 +13378 -.008 .913 .056 +13379 -.002 .907 .018 +13380 0 .89 .003 +13381 0 .884 .009 +13382 0 .897 0 +13383 0 .877 .016 +13384 0 .902 .002 +13385 0 .873 .025 +13386 0 .904 .007 +13387 0 .868 .036 +13388 0 .907 .013 +13389 0 .866 .049 +13390 0 .915 .023 +13391 0 .868 .064 +13392 0 .924 .03 +13393 0 .87 .078 +13394 0 1.043 .072 +13395 0 1.014 .083 +13396 0 .97 .091 +13397 0 .922 .093 +13398 0 .894 .092 +13399 0 .876 .085 +13400 0 .973 .03 +13401 0 .938 .033 +13402 0 1.032 .013 +13403 0 1.068 .034 +13404 0 1.073 .023 +13405 0 1.076 .034 +13406 .017 1.034 .061 +13407 .013 1.031 .072 +13408 .01 1.035 .075 +13409 .002 1.044 .073 +13410 .012 1.057 .043 +13411 .019 1.04 .05 +13412 .027 1.045 .052 +13413 .01 1.004 .087 +13414 .033 1.007 .08 +13415 .027 1.003 .084 +13416 .037 1.024 .057 +13417 .038 1.013 .067 +13418 .048 .978 .072 +13419 .045 .955 .086 +13420 .04 .948 .093 +13421 .022 .952 .097 +13422 .048 .999 .062 +13423 .011 .885 .097 +13424 .017 .87 .092 +13425 .021 .865 .084 +13426 .036 .886 .059 +13427 .038 .868 .065 +13428 .035 .853 .078 +13429 .038 .858 .073 +13430 .031 .872 .096 +13431 .034 .857 .087 +13432 .038 .862 .081 +13433 .037 .882 .09 +13434 .04 .933 .064 +13435 .041 .909 .077 +13436 .039 .881 .072 +13437 .038 .901 .064 +13438 .034 1.021 .047 +13439 .02 .962 .042 +13440 .016 .929 .046 +13441 .017 .917 .042 +13442 .025 .866 .075 +13443 .036 .856 .071 +13444 .036 .879 .049 +13445 .02 .906 .034 +13446 .038 .868 .057 +13447 .037 .858 .065 +13448 .023 .865 .063 +13449 .035 .857 .06 +13450 .034 .877 .037 +13451 .02 .903 .027 +13452 .036 .868 .045 +13453 .036 .861 .054 +13454 .021 .864 .049 +13455 .031 .858 .048 +13456 .03 .878 .026 +13457 .018 .903 .016 +13458 .033 .869 .033 +13459 .034 .862 .042 +13460 .017 .864 .036 +13461 .027 .861 .035 +13462 .026 .883 .014 +13463 .017 .902 .008 +13464 .028 .874 .022 +13465 .029 .866 .029 +13466 .014 .868 .024 +13467 .022 .865 .024 +13468 .022 .886 .006 +13469 .014 .901 .003 +13470 .024 .878 .012 +13471 .024 .87 .019 +13472 .011 .875 .016 +13473 .018 .867 .018 +13474 .018 .888 .003 +13475 .011 .896 0 +13476 .019 .882 .006 +13477 .019 .874 .013 +13478 .009 .882 .009 +13479 .009 .891 .003 +13480 .008 .898 0 +13481 .007 .892 .003 +13482 .007 .883 .01 +13483 .008 .877 .016 +13484 .01 .903 .003 +13485 .012 .907 .016 +13486 .013 .909 .025 +13487 .011 .905 .008 +13488 .01 .871 .024 +13489 .013 .866 .035 +13490 .015 .866 .049 +13491 .016 .866 .062 +13492 .006 1.062 .038 +13493 .018 1.063 .044 +13494 .024 1.055 .032 +13495 .014 .965 .094 +13496 .013 .871 .085 +13497 .004 .906 .096 +13498 .008 .883 .093 +13499 .008 .95 .036 +13500 .012 1.009 .024 +13501 .008 .922 .04 +13502 .017 .869 .077 +13503 .012 .914 .033 +13504 0 1.043 .072 +13505 .005 1.01 .084 +13506 -.017 1.034 .061 +13507 -.013 1.031 .072 +13508 -.01 1.035 .075 +13509 -.002 1.044 .073 +13510 -.012 1.057 .043 +13511 -.019 1.04 .05 +13512 -.027 1.045 .052 +13513 -.01 1.004 .087 +13514 -.033 1.007 .08 +13515 -.027 1.003 .084 +13516 -.037 1.024 .057 +13517 -.038 1.013 .067 +13518 -.048 .978 .072 +13519 -.045 .955 .086 +13520 -.04 .948 .093 +13521 -.022 .952 .097 +13522 -.048 .999 .062 +13523 -.011 .885 .097 +13524 -.017 .87 .092 +13525 -.021 .865 .084 +13526 -.036 .886 .059 +13527 -.038 .868 .065 +13528 -.035 .853 .078 +13529 -.038 .858 .073 +13530 -.031 .872 .096 +13531 -.034 .857 .087 +13532 -.038 .862 .081 +13533 -.037 .882 .09 +13534 -.04 .933 .064 +13535 -.041 .909 .077 +13536 -.039 .881 .072 +13537 -.038 .901 .064 +13538 -.034 1.021 .047 +13539 -.02 .962 .042 +13540 -.016 .929 .046 +13541 -.017 .917 .042 +13542 -.025 .866 .075 +13543 -.036 .856 .071 +13544 -.036 .879 .049 +13545 -.02 .906 .034 +13546 -.038 .868 .057 +13547 -.037 .858 .065 +13548 -.023 .865 .063 +13549 -.035 .857 .06 +13550 -.034 .877 .037 +13551 -.02 .903 .027 +13552 -.036 .868 .045 +13553 -.036 .861 .054 +13554 -.021 .864 .049 +13555 -.031 .858 .048 +13556 -.03 .878 .026 +13557 -.018 .903 .016 +13558 -.033 .869 .033 +13559 -.034 .862 .042 +13560 -.017 .864 .036 +13561 -.027 .861 .035 +13562 -.026 .883 .014 +13563 -.017 .902 .008 +13564 -.028 .874 .022 +13565 -.029 .866 .029 +13566 -.014 .868 .024 +13567 -.022 .865 .024 +13568 -.022 .886 .006 +13569 -.014 .901 .003 +13570 -.024 .878 .012 +13571 -.024 .87 .019 +13572 -.011 .875 .016 +13573 -.018 .867 .018 +13574 -.018 .888 .003 +13575 -.011 .896 0 +13576 -.019 .882 .006 +13577 -.019 .874 .013 +13578 -.009 .882 .009 +13579 -.009 .891 .003 +13580 -.008 .898 0 +13581 -.007 .892 .003 +13582 -.007 .883 .01 +13583 -.008 .877 .016 +13584 -.01 .903 .003 +13585 -.012 .907 .016 +13586 -.013 .909 .025 +13587 -.011 .905 .008 +13588 -.01 .871 .024 +13589 -.013 .866 .035 +13590 -.015 .866 .049 +13591 -.016 .866 .062 +13592 -.006 1.062 .038 +13593 -.018 1.063 .044 +13594 -.024 1.055 .032 +13595 -.014 .965 .094 +13596 -.013 .871 .085 +13597 -.004 .906 .096 +13598 -.008 .883 .093 +13599 -.008 .95 .036 +13600 -.012 1.009 .024 +13601 -.008 .922 .04 +13602 -.017 .869 .077 +13603 -.012 .914 .033 +13604 0 1.043 .072 +13605 -.005 1.01 .084 +13606 -.018 .928 .057 +13607 -.016 .936 .053 +13608 -.012 .935 .052 +13609 -.012 .927 .058 +13610 -.018 .928 .066 +13611 -.018 .937 .061 +13612 -.012 .937 .059 +13613 -.011 .93 .066 +13614 .018 .928 .057 +13615 .016 .936 .053 +13616 .012 .935 .052 +13617 .012 .927 .058 +13618 .018 .928 .066 +13619 .018 .937 .061 +13620 .012 .937 .059 +13621 .011 .93 .066 +13622 .005 .481 -.071 +13623 .007 .464 -.085 +13624 -.007 .464 -.085 +13625 -.005 .481 -.071 +13626 .002 .496 -.069 +13627 .004 .479 -.083 +13628 -.004 .479 -.083 +13629 -.002 .496 -.069 +13630 -.007 .898 -.153 +13631 -.004 .886 -.161 +13632 .004 .886 -.161 +13633 .007 .898 -.153 +13634 -.009 .91 -.153 +13635 -.006 .899 -.161 +13636 .006 .899 -.161 +13637 .009 .91 -.153 +13638 -.027 .929 -.299 +13639 -.024 .918 -.312 +13640 .024 .918 -.312 +13641 .027 .929 -.299 +13642 -.027 .93 -.303 +13643 -.024 .92 -.315 +13644 .024 .92 -.315 +13645 .027 .93 -.303 +13646 -.041 .615 -.5 +13647 -.038 .613 -.503 +13648 .038 .613 -.503 +13649 .041 .615 -.5 +13650 -.046 .602 -.5 +13651 -.043 .6 -.502 +13652 .043 .6 -.502 +13653 .046 .602 -.5 +13654 -.106 .443 -.391 +13655 -.108 .457 -.4 +13656 .108 .457 -.4 +13657 .106 .443 -.391 +13658 -.106 .444 -.383 +13659 -.108 .458 -.393 +13660 .108 .458 -.393 +13661 .106 .444 -.383 +13662 -.212 -.019 .27 +13663 -.213 -.029 .272 +13664 -.212 -.029 .272 +13665 -.211 -.019 .271 +13666 -.211 -.019 .267 +13667 -.211 -.029 .269 +13668 -.212 -.028 .269 +13669 -.211 -.018 .267 +13670 -.207 .002 .26 +13671 -.207 .009 .259 +13672 -.208 .008 .26 +13673 -.207 0 .263 +13674 -.207 0 .258 +13675 -.207 .007 .256 +13676 -.207 .004 .256 +13677 -.207 0 .258 +13678 -.211 .006 .271 +13679 -.211 .013 .27 +13680 -.211 .012 .271 +13681 -.211 .006 .272 +13682 -.211 .006 .269 +13683 -.212 .013 .267 +13684 -.211 .011 .269 +13685 -.211 .006 .271 +13686 -.213 -.064 .274 +13687 -.212 -.06 .273 +13688 -.213 -.062 .273 +13689 -.213 -.065 .275 +13690 -.212 -.066 .272 +13691 -.212 -.06 .27 +13692 -.212 -.062 .271 +13693 -.212 -.065 .273 +13694 -.212 .012 .272 +13695 -.211 .019 .27 +13696 -.211 .017 .271 +13697 -.212 .011 .273 +13698 -.212 .011 .27 +13699 -.212 .017 .268 +13700 -.211 .016 .269 +13701 -.212 .012 .271 +13702 -.212 -.045 .275 +13703 -.213 -.042 .273 +13704 -.213 -.043 .274 +13705 -.214 -.046 .275 +13706 -.212 -.045 .271 +13707 -.213 -.042 .27 +13708 -.212 -.044 .271 +13709 -.212 -.045 .272 +13710 -.212 .018 .274 +13711 -.212 .021 .273 +13712 -.212 .019 .272 +13713 -.212 .018 .273 +13714 -.214 .018 .271 +13715 -.214 .02 .269 +13716 -.214 .019 .271 +13717 -.214 .018 .272 +13718 -.214 -.023 .275 +13719 -.214 -.024 .275 +13720 -.213 -.024 .275 +13721 -.213 -.022 .275 +13722 -.215 -.023 .272 +13723 -.215 -.024 .272 +13724 -.215 -.023 .273 +13725 -.215 -.022 .273 +13726 -.214 -.032 .273 +13727 -.214 -.037 .274 +13728 -.214 -.038 .274 +13729 -.215 -.033 .273 +13730 -.215 -.032 .27 +13731 -.215 -.037 .27 +13732 -.215 -.038 .271 +13733 -.214 -.032 .271 +13734 -.213 .032 .274 +13735 -.213 .033 .272 +13736 -.212 .032 .272 +13737 -.212 .031 .273 +13738 -.214 .031 .27 +13739 -.214 .032 .269 +13740 -.213 .031 .27 +13741 -.213 .03 .271 +13742 -.212 .088 .272 +13743 -.212 .094 .269 +13744 -.211 .094 .269 +13745 -.212 .088 .271 +13746 -.212 .088 .267 +13747 -.212 .093 .266 +13748 -.212 .092 .267 +13749 -.213 .088 .268 +13750 -.212 .064 .271 +13751 -.211 .069 .268 +13752 -.211 .069 .269 +13753 -.211 .063 .271 +13754 -.212 .063 .268 +13755 -.212 .069 .266 +13756 -.212 .068 .267 +13757 -.213 .063 .269 +13758 -.211 .056 .27 +13759 -.211 .063 .267 +13760 -.211 .062 .268 +13761 -.211 .054 .271 +13762 -.211 .055 .266 +13763 -.21 .062 .265 +13764 -.211 .061 .266 +13765 -.211 .054 .268 +13766 -.21 .033 .269 +13767 -.209 .042 .267 +13768 -.208 .04 .268 +13769 -.208 .032 .27 +13770 -.21 .034 .266 +13771 -.209 .04 .265 +13772 -.208 .039 .267 +13773 -.209 .032 .268 +13774 -.207 .064 .266 +13775 -.207 .07 .265 +13776 -.207 .068 .266 +13777 -.207 .062 .268 +13778 -.209 .062 .263 +13779 -.207 .068 .261 +13780 -.208 .066 .264 +13781 -.208 .06 .266 +13782 -.21 .08 .265 +13783 -.21 .088 .262 +13784 -.21 .087 .263 +13785 -.209 .078 .266 +13786 -.21 .078 .262 +13787 -.209 .086 .26 +13788 -.21 .085 .262 +13789 -.21 .076 .264 +13790 -.21 .09 .265 +13791 -.21 .097 .262 +13792 -.21 .096 .263 +13793 -.21 .089 .265 +13794 -.21 .088 .262 +13795 -.21 .095 .26 +13796 -.21 .094 .261 +13797 -.209 .087 .263 +13798 -.21 .122 .264 +13799 -.21 .129 .262 +13800 -.209 .129 .262 +13801 -.209 .121 .264 +13802 -.21 .121 .261 +13803 -.211 .127 .26 +13804 -.21 .126 .261 +13805 -.21 .12 .262 +13806 -.214 -.034 .271 +13807 -.214 -.04 .273 +13808 -.214 -.04 .273 +13809 -.214 -.035 .272 +13810 -.215 -.035 .269 +13811 -.215 -.04 .269 +13812 -.215 -.04 .269 +13813 -.214 -.034 .269 +13814 -.212 .082 .269 +13815 -.212 .086 .268 +13816 -.212 .088 .267 +13817 -.212 .083 .27 +13818 -.214 .081 .267 +13819 -.214 .085 .266 +13820 -.214 .087 .265 +13821 -.213 .082 .267 +13822 -.21 .16 .262 +13823 -.209 .168 .26 +13824 -.208 .171 .26 +13825 -.21 .162 .262 +13826 -.212 .16 .26 +13827 -.211 .167 .257 +13828 -.209 .168 .258 +13829 -.211 .16 .26 +13830 -.235 -.007 .202 +13831 -.234 -.016 .193 +13832 -.233 -.015 .194 +13833 -.232 -.007 .203 +13834 -.233 -.005 .202 +13835 -.232 -.013 .194 +13836 -.231 -.012 .195 +13837 -.231 -.004 .203 +13838 -.066 .59 0 +13839 -.063 .578 -.007 +13840 -.054 .571 -.009 +13841 -.057 .583 -.003 +13842 -.058 .601 -.017 +13843 -.054 .59 -.023 +13844 -.046 .582 -.024 +13845 -.049 .593 -.019 +13846 -.003 .665 -.16 +13847 -.005 .654 -.167 +13848 -.007 .662 -.162 +13849 -.005 .673 -.156 +13850 -.005 .67 -.16 +13851 -.007 .659 -.167 +13852 -.009 .667 -.162 +13853 -.007 .678 -.156 +13854 .644 .1 .558 +13855 .65 .093 .551 +13856 .65 .084 .56 +13857 .644 .092 .567 +13858 .655 .105 .562 +13859 .661 .097 .555 +13860 .661 .089 .564 +13861 .654 .097 .571 +13862 .685 .053 .53 +13863 .691 .047 .521 +13864 .693 .038 .529 +13865 .687 .044 .538 +13866 .695 .058 .534 +13867 .701 .052 .525 +13868 .703 .043 .533 +13869 .697 .049 .542 +13870 .706 .039 .482 +13871 .712 .035 .473 +13872 .715 .025 .479 +13873 .709 .03 .489 +13874 .716 .045 .486 +13875 .722 .04 .477 +13876 .725 .03 .483 +13877 .719 .035 .493 +13878 .717 .056 .433 +13879 .722 .052 .423 +13880 .725 .041 .428 +13881 .719 .045 .438 +13882 .727 .06 .437 +13883 .733 .057 .427 +13884 .735 .046 .432 +13885 .73 .049 .442 +13886 .719 .092 .422 +13887 .725 .088 .412 +13888 .727 .077 .417 +13889 .722 .081 .427 +13890 .73 .096 .426 +13891 .735 .092 .416 +13892 .738 .082 .421 +13893 .732 .085 .431 +13894 .737 .098 .475 +13895 .743 .093 .465 +13896 .745 .083 .472 +13897 .739 .088 .482 +13898 .747 .103 .479 +13899 .753 .098 .469 +13900 .756 .088 .476 +13901 .75 .093 .485 +13902 .724 .109 .516 +13903 .73 .103 .508 +13904 .732 .094 .515 +13905 .726 .1 .524 +13906 .734 .114 .52 +13907 .74 .108 .511 +13908 .742 .099 .519 +13909 .736 .105 .528 +13910 .678 .154 .529 +13911 .684 .146 .523 +13912 .684 .138 .532 +13913 .677 .146 .539 +13914 .688 .159 .534 +13915 .695 .15 .527 +13916 .694 .143 .536 +13917 .688 .151 .543 +13918 .686 .18 .508 +13919 .692 .172 .501 +13920 .693 .164 .511 +13921 .687 .172 .518 +13922 .696 .185 .512 +13923 .703 .177 .505 +13924 .703 .17 .514 +13925 .697 .178 .521 +13926 .731 .152 .487 +13927 .737 .146 .479 +13928 .739 .137 .486 +13929 .733 .143 .495 +13930 .741 .158 .491 +13931 .748 .151 .482 +13932 .749 .142 .49 +13933 .743 .148 .499 +13934 .734 .13 .456 +13935 .739 .126 .446 +13936 .743 .116 .452 +13937 .737 .119 .462 +13938 .744 .135 .46 +13939 .75 .131 .45 +13940 .753 .121 .456 +13941 .747 .125 .466 +13942 .719 .121 .411 +13943 .725 .118 .401 +13944 .727 .107 .406 +13945 .722 .111 .416 +13946 .73 .126 .415 +13947 .736 .122 .405 +13948 .738 .112 .411 +13949 .732 .115 .421 +13950 .715 .145 .418 +13951 .721 .142 .407 +13952 .724 .131 .412 +13953 .718 .134 .422 +13954 .726 .149 .422 +13955 .731 .147 .412 +13956 .734 .136 .416 +13957 .729 .138 .427 +13958 .751 .193 .443 +13959 .757 .188 .433 +13960 .763 .18 .44 +13961 .757 .184 .45 +13962 .761 .2 .445 +13963 .766 .196 .435 +13964 .772 .188 .442 +13965 .766 .192 .452 +13966 .757 .222 .461 +13967 .763 .216 .453 +13968 .767 .208 .461 +13969 .762 .214 .47 +13970 .767 .229 .463 +13971 .773 .223 .454 +13972 .777 .215 .463 +13973 .771 .221 .471 +13974 .687 .206 .484 +13975 .693 .197 .477 +13976 .696 .191 .487 +13977 .69 .2 .494 +13978 .697 .212 .485 +13979 .704 .204 .478 +13980 .706 .198 .488 +13981 .7 .206 .495 +13982 .545 .168 .504 +13983 .552 .159 .499 +13984 .549 .152 .509 +13985 .543 .161 .513 +13986 .555 .172 .509 +13987 .562 .163 .504 +13988 .559 .156 .514 +13989 .553 .165 .519 +13990 .534 .247 .462 +13991 .54 .237 .458 +13992 .537 .231 .468 +13993 .531 .241 .473 +13994 .544 .251 .468 +13995 .55 .241 .464 +13996 .547 .235 .474 +13997 .541 .245 .478 +13998 .566 .234 .415 +13999 .572 .224 .412 +14000 .568 .219 .423 +14001 .563 .229 .426 +14002 .576 .238 .421 +14003 .582 .228 .418 +14004 .578 .223 .428 +14005 .573 .233 .431 +14006 .701 .274 .427 +14007 .707 .268 .418 +14008 .708 .259 .426 +14009 .702 .265 .435 +14010 .711 .279 .431 +14011 .717 .273 .423 +14012 .718 .263 .43 +14013 .712 .269 .439 +14014 .711 .256 .4 +14015 .717 .25 .391 +14016 .718 .241 .399 +14017 .712 .247 .407 +14018 .721 .261 .404 +14019 .727 .255 .396 +14020 .728 .245 .403 +14021 .722 .251 .412 +14022 .734 .237 .385 +14023 .74 .23 .376 +14024 .741 .221 .384 +14025 .735 .227 .392 +14026 .744 .241 .389 +14027 .75 .235 .38 +14028 .751 .225 .388 +14029 .745 .231 .396 +14030 .56 .185 .312 +14031 .566 .178 .303 +14032 .573 .172 .312 +14033 .566 .178 .32 +14034 .569 .193 .312 +14035 .575 .187 .303 +14036 .581 .181 .312 +14037 .575 .187 .32 +14038 .413 .407 .061 +14039 .418 .402 .05 +14040 .426 .395 .056 +14041 .421 .4 .066 +14042 .421 .417 .065 +14043 .426 .412 .054 +14044 .434 .404 .06 +14045 .429 .409 .07 +14046 .205 .561 .06 +14047 .203 .57 .053 +14048 .216 .563 .056 +14049 .218 .556 .062 +14050 .193 .573 .08 +14051 .191 .581 .075 +14052 .205 .579 .077 +14053 .206 .571 .082 +14054 -.034 .91 -.436 +14055 -.034 .931 -.436 +14056 -.029 .936 -.433 +14057 -.029 .916 -.432 +14058 -.04 .904 -.421 +14059 -.04 .925 -.421 +14060 -.035 .93 -.418 +14061 -.036 .909 -.417 +14062 -.079 .727 -.255 +14063 -.079 .737 -.259 +14064 -.076 .735 -.239 +14065 -.077 .724 -.235 +14066 -.09 .728 -.249 +14067 -.09 .739 -.254 +14068 -.087 .736 -.235 +14069 -.088 .726 -.232 +14070 -.007 .849 .309 +14071 -.007 .86 .302 +14072 .007 .86 .302 +14073 .007 .849 .309 +14074 -.002 .846 .316 +14075 -.002 .856 .31 +14076 .002 .856 .31 +14077 .002 .846 .316 +14078 -.012 .862 .057 +14079 -.014 .885 .052 +14080 -.009 .885 .052 +14081 -.006 .862 .057 +14082 -.012 .864 .066 +14083 -.014 .888 .061 +14084 -.009 .887 .061 +14085 -.006 .864 .066 +14086 -.012 .861 .071 +14087 -.014 .884 .066 +14088 -.008 .882 .066 +14089 -.006 .86 .072 +14090 -.012 .863 .081 +14091 -.014 .887 .075 +14092 -.009 .886 .075 +14093 -.006 .863 .081 +14094 -.013 .872 .083 +14095 -.015 .894 .078 +14096 -.009 .894 .078 +14097 -.007 .872 .083 +14098 -.011 .867 .092 +14099 -.014 .888 .087 +14100 -.008 .889 .087 +14101 -.006 .867 .092 +14102 .212 -.019 .27 +14103 .213 -.029 .272 +14104 .212 -.029 .272 +14105 .211 -.019 .271 +14106 .211 -.019 .267 +14107 .211 -.029 .269 +14108 .212 -.028 .269 +14109 .211 -.018 .267 +14110 .207 .002 .26 +14111 .207 .009 .259 +14112 .208 .008 .26 +14113 .207 0 .263 +14114 .207 0 .258 +14115 .207 .007 .256 +14116 .207 .004 .256 +14117 .207 0 .258 +14118 .211 .006 .271 +14119 .211 .013 .27 +14120 .211 .012 .271 +14121 .211 .006 .272 +14122 .211 .006 .269 +14123 .212 .013 .267 +14124 .211 .011 .269 +14125 .211 .006 .271 +14126 .213 -.064 .274 +14127 .212 -.06 .273 +14128 .213 -.062 .273 +14129 .213 -.065 .275 +14130 .212 -.066 .272 +14131 .212 -.06 .27 +14132 .212 -.062 .271 +14133 .212 -.065 .273 +14134 .212 .012 .272 +14135 .211 .019 .27 +14136 .211 .017 .271 +14137 .212 .011 .273 +14138 .212 .011 .27 +14139 .212 .017 .268 +14140 .211 .016 .269 +14141 .212 .012 .271 +14142 .212 -.045 .275 +14143 .213 -.042 .273 +14144 .213 -.043 .274 +14145 .214 -.046 .275 +14146 .212 -.045 .271 +14147 .213 -.042 .27 +14148 .212 -.044 .271 +14149 .212 -.045 .272 +14150 .212 .018 .274 +14151 .212 .021 .273 +14152 .212 .019 .272 +14153 .212 .018 .273 +14154 .214 .018 .271 +14155 .214 .02 .269 +14156 .214 .019 .271 +14157 .214 .018 .272 +14158 .214 -.023 .275 +14159 .214 -.024 .275 +14160 .213 -.024 .275 +14161 .213 -.022 .275 +14162 .215 -.023 .272 +14163 .215 -.024 .272 +14164 .215 -.023 .273 +14165 .215 -.022 .273 +14166 .214 -.032 .273 +14167 .214 -.037 .274 +14168 .214 -.038 .274 +14169 .215 -.033 .273 +14170 .215 -.032 .27 +14171 .215 -.037 .27 +14172 .215 -.038 .271 +14173 .214 -.032 .271 +14174 .213 .032 .274 +14175 .213 .033 .272 +14176 .212 .032 .272 +14177 .212 .031 .273 +14178 .214 .031 .27 +14179 .214 .032 .269 +14180 .213 .031 .27 +14181 .213 .03 .271 +14182 .212 .088 .272 +14183 .212 .094 .269 +14184 .211 .094 .269 +14185 .212 .088 .271 +14186 .212 .088 .267 +14187 .212 .093 .266 +14188 .212 .092 .267 +14189 .213 .088 .268 +14190 .212 .064 .271 +14191 .211 .069 .268 +14192 .211 .069 .269 +14193 .211 .063 .271 +14194 .212 .063 .268 +14195 .212 .069 .266 +14196 .212 .068 .267 +14197 .213 .063 .269 +14198 .211 .056 .27 +14199 .211 .063 .267 +14200 .211 .062 .268 +14201 .211 .054 .271 +14202 .211 .055 .266 +14203 .21 .062 .265 +14204 .211 .061 .266 +14205 .211 .054 .268 +14206 .21 .033 .269 +14207 .209 .042 .267 +14208 .208 .04 .268 +14209 .208 .032 .27 +14210 .21 .034 .266 +14211 .209 .04 .265 +14212 .208 .039 .267 +14213 .209 .032 .268 +14214 .207 .064 .266 +14215 .207 .07 .265 +14216 .207 .068 .266 +14217 .207 .062 .268 +14218 .209 .062 .263 +14219 .207 .068 .261 +14220 .208 .066 .264 +14221 .208 .06 .266 +14222 .21 .08 .265 +14223 .21 .088 .262 +14224 .21 .087 .263 +14225 .209 .078 .266 +14226 .21 .078 .262 +14227 .209 .086 .26 +14228 .21 .085 .262 +14229 .21 .076 .264 +14230 .21 .09 .265 +14231 .21 .097 .262 +14232 .21 .096 .263 +14233 .21 .089 .265 +14234 .21 .088 .262 +14235 .21 .095 .26 +14236 .21 .094 .261 +14237 .209 .087 .263 +14238 .21 .122 .264 +14239 .21 .129 .262 +14240 .209 .129 .262 +14241 .209 .121 .264 +14242 .21 .121 .261 +14243 .211 .127 .26 +14244 .21 .126 .261 +14245 .21 .12 .262 +14246 .214 -.034 .271 +14247 .214 -.04 .273 +14248 .214 -.04 .273 +14249 .214 -.035 .272 +14250 .215 -.035 .269 +14251 .215 -.04 .269 +14252 .215 -.04 .269 +14253 .214 -.034 .269 +14254 .212 .082 .269 +14255 .212 .086 .268 +14256 .212 .088 .267 +14257 .212 .083 .27 +14258 .214 .081 .267 +14259 .214 .085 .266 +14260 .214 .087 .265 +14261 .213 .082 .267 +14262 .21 .16 .262 +14263 .209 .168 .26 +14264 .208 .171 .26 +14265 .21 .162 .262 +14266 .212 .16 .26 +14267 .211 .167 .257 +14268 .209 .168 .258 +14269 .211 .16 .26 +14270 .235 -.007 .202 +14271 .234 -.016 .193 +14272 .233 -.015 .194 +14273 .232 -.007 .203 +14274 .233 -.005 .202 +14275 .232 -.013 .194 +14276 .231 -.012 .195 +14277 .231 -.004 .203 +14278 .066 .59 0 +14279 .063 .578 -.007 +14280 .054 .571 -.009 +14281 .057 .583 -.003 +14282 .058 .601 -.017 +14283 .054 .59 -.023 +14284 .046 .582 -.024 +14285 .049 .593 -.019 +14286 .003 .665 -.16 +14287 .005 .654 -.167 +14288 .007 .662 -.162 +14289 .005 .673 -.156 +14290 .005 .67 -.16 +14291 .007 .659 -.167 +14292 .009 .667 -.162 +14293 .007 .678 -.156 +14294 -.644 .1 .558 +14295 -.65 .093 .551 +14296 -.65 .084 .56 +14297 -.644 .092 .567 +14298 -.655 .105 .562 +14299 -.661 .097 .555 +14300 -.661 .089 .564 +14301 -.654 .097 .571 +14302 -.685 .053 .53 +14303 -.691 .047 .521 +14304 -.693 .038 .529 +14305 -.687 .044 .538 +14306 -.695 .058 .534 +14307 -.701 .052 .525 +14308 -.703 .043 .533 +14309 -.697 .049 .542 +14310 -.706 .039 .482 +14311 -.712 .035 .473 +14312 -.715 .025 .479 +14313 -.709 .03 .489 +14314 -.716 .045 .486 +14315 -.722 .04 .477 +14316 -.725 .03 .483 +14317 -.719 .035 .493 +14318 -.717 .056 .433 +14319 -.722 .052 .423 +14320 -.725 .041 .428 +14321 -.719 .045 .438 +14322 -.727 .06 .437 +14323 -.733 .057 .427 +14324 -.735 .046 .432 +14325 -.73 .049 .442 +14326 -.719 .092 .422 +14327 -.725 .088 .412 +14328 -.727 .077 .417 +14329 -.722 .081 .427 +14330 -.73 .096 .426 +14331 -.735 .092 .416 +14332 -.738 .082 .421 +14333 -.732 .085 .431 +14334 -.737 .098 .475 +14335 -.743 .093 .465 +14336 -.745 .083 .472 +14337 -.739 .088 .482 +14338 -.747 .103 .479 +14339 -.753 .098 .469 +14340 -.756 .088 .476 +14341 -.75 .093 .485 +14342 -.724 .109 .516 +14343 -.73 .103 .508 +14344 -.732 .094 .515 +14345 -.726 .1 .524 +14346 -.734 .114 .52 +14347 -.74 .108 .511 +14348 -.742 .099 .519 +14349 -.736 .105 .528 +14350 -.678 .154 .529 +14351 -.684 .146 .523 +14352 -.684 .138 .532 +14353 -.677 .146 .539 +14354 -.688 .159 .534 +14355 -.695 .15 .527 +14356 -.694 .143 .536 +14357 -.688 .151 .543 +14358 -.686 .18 .508 +14359 -.692 .172 .501 +14360 -.693 .164 .511 +14361 -.687 .172 .518 +14362 -.696 .185 .512 +14363 -.703 .177 .505 +14364 -.703 .17 .514 +14365 -.697 .178 .521 +14366 -.731 .152 .487 +14367 -.737 .146 .479 +14368 -.739 .137 .486 +14369 -.733 .143 .495 +14370 -.741 .158 .491 +14371 -.748 .151 .482 +14372 -.749 .142 .49 +14373 -.743 .148 .499 +14374 -.734 .13 .456 +14375 -.739 .126 .446 +14376 -.743 .116 .452 +14377 -.737 .119 .462 +14378 -.744 .135 .46 +14379 -.75 .131 .45 +14380 -.753 .121 .456 +14381 -.747 .125 .466 +14382 -.719 .121 .411 +14383 -.725 .118 .401 +14384 -.727 .107 .406 +14385 -.722 .111 .416 +14386 -.73 .126 .415 +14387 -.736 .122 .405 +14388 -.738 .112 .411 +14389 -.732 .115 .421 +14390 -.715 .145 .418 +14391 -.721 .142 .407 +14392 -.724 .131 .412 +14393 -.718 .134 .422 +14394 -.726 .149 .422 +14395 -.731 .147 .412 +14396 -.734 .136 .416 +14397 -.729 .138 .427 +14398 -.751 .193 .443 +14399 -.757 .188 .433 +14400 -.763 .18 .44 +14401 -.757 .184 .45 +14402 -.761 .2 .445 +14403 -.766 .196 .435 +14404 -.772 .188 .442 +14405 -.766 .192 .452 +14406 -.757 .222 .461 +14407 -.763 .216 .453 +14408 -.767 .208 .461 +14409 -.762 .214 .47 +14410 -.767 .229 .463 +14411 -.773 .223 .454 +14412 -.777 .215 .463 +14413 -.771 .221 .471 +14414 -.687 .206 .484 +14415 -.693 .197 .477 +14416 -.696 .191 .487 +14417 -.69 .2 .494 +14418 -.697 .212 .485 +14419 -.704 .204 .478 +14420 -.706 .198 .488 +14421 -.7 .206 .495 +14422 -.545 .168 .504 +14423 -.552 .159 .499 +14424 -.549 .152 .509 +14425 -.543 .161 .513 +14426 -.555 .172 .509 +14427 -.562 .163 .504 +14428 -.559 .156 .514 +14429 -.553 .165 .519 +14430 -.534 .247 .462 +14431 -.54 .237 .458 +14432 -.537 .231 .468 +14433 -.531 .241 .473 +14434 -.544 .251 .468 +14435 -.55 .241 .464 +14436 -.547 .235 .474 +14437 -.541 .245 .478 +14438 -.566 .234 .415 +14439 -.572 .224 .412 +14440 -.568 .219 .423 +14441 -.563 .229 .426 +14442 -.576 .238 .421 +14443 -.582 .228 .418 +14444 -.578 .223 .428 +14445 -.573 .233 .431 +14446 -.701 .274 .427 +14447 -.707 .268 .418 +14448 -.708 .259 .426 +14449 -.702 .265 .435 +14450 -.711 .279 .431 +14451 -.717 .273 .423 +14452 -.718 .263 .43 +14453 -.712 .269 .439 +14454 -.711 .256 .4 +14455 -.717 .25 .391 +14456 -.718 .241 .399 +14457 -.712 .247 .407 +14458 -.721 .261 .404 +14459 -.727 .255 .396 +14460 -.728 .245 .403 +14461 -.722 .251 .412 +14462 -.734 .237 .385 +14463 -.74 .23 .376 +14464 -.741 .221 .384 +14465 -.735 .227 .392 +14466 -.744 .241 .389 +14467 -.75 .235 .38 +14468 -.751 .225 .388 +14469 -.745 .231 .396 +14470 -.56 .185 .312 +14471 -.566 .178 .303 +14472 -.573 .172 .312 +14473 -.566 .178 .32 +14474 -.569 .193 .312 +14475 -.575 .187 .303 +14476 -.581 .181 .312 +14477 -.575 .187 .32 +14478 -.413 .407 .061 +14479 -.418 .402 .05 +14480 -.426 .395 .056 +14481 -.421 .4 .066 +14482 -.421 .417 .065 +14483 -.426 .412 .054 +14484 -.434 .404 .06 +14485 -.429 .409 .07 +14486 -.205 .561 .06 +14487 -.203 .57 .053 +14488 -.216 .563 .056 +14489 -.218 .556 .062 +14490 -.193 .573 .08 +14491 -.191 .581 .075 +14492 -.205 .579 .077 +14493 -.206 .571 .082 +14494 .034 .91 -.436 +14495 .034 .931 -.436 +14496 .029 .936 -.433 +14497 .029 .916 -.432 +14498 .04 .904 -.421 +14499 .04 .925 -.421 +14500 .035 .93 -.418 +14501 .036 .909 -.417 +14502 .079 .727 -.255 +14503 .079 .737 -.259 +14504 .076 .735 -.239 +14505 .077 .724 -.235 +14506 .09 .728 -.249 +14507 .09 .739 -.254 +14508 .087 .736 -.235 +14509 .088 .726 -.232 +14510 .012 .862 .057 +14511 .014 .885 .052 +14512 .009 .885 .052 +14513 .006 .862 .057 +14514 .012 .864 .066 +14515 .014 .888 .061 +14516 .009 .887 .061 +14517 .006 .864 .066 +14518 .012 .861 .071 +14519 .014 .884 .066 +14520 .008 .882 .066 +14521 .006 .86 .072 +14522 .012 .863 .081 +14523 .014 .887 .075 +14524 .009 .886 .075 +14525 .006 .863 .081 +14526 .013 .872 .083 +14527 .015 .894 .078 +14528 .009 .894 .078 +14529 .007 .872 .083 +14530 .011 .867 .092 +14531 .014 .888 .087 +14532 .008 .889 .087 +14533 .006 .867 .092 +14534 0 .968 .079 +14535 0 .985 .072 +14536 0 .985 .072 +14537 0 .968 .079 +14538 0 .961 .092 +14539 0 .979 .086 +14540 0 .979 .086 +14541 0 .961 .092 +14542 0 1.045 .009 +14543 0 1.05 .011 +14544 0 1.05 .011 +14545 0 1.045 .009 +14546 -.004 1.048 .025 +14547 -.004 1.054 .017 +14548 .004 1.054 .017 +14549 .004 1.048 .025 +14550 0 .894 .082 +14551 0 .903 .082 +14552 0 .903 .082 +14553 0 .894 .082 +14554 0 .894 .091 +14555 0 .903 .091 +14556 0 .903 .091 +14557 0 .894 .091 +14558 0 .914 .092 +14559 0 .923 .093 +14560 0 .923 .093 +14561 0 .914 .092 +14562 0 .914 .101 +14563 0 .922 .101 +14564 0 .922 .101 +14565 0 .914 .101 +14566 -.002 .959 .377 +14567 0 .965 .378 +14568 0 .965 .378 +14569 .002 .959 .377 +14570 -.004 .957 .392 +14571 -.002 .967 .383 +14572 .002 .967 .383 +14573 .004 .957 .392 +14574 0 .938 .092 +14575 0 .947 .092 +14576 0 .947 .092 +14577 0 .938 .092 +14578 0 .938 .101 +14579 0 .947 .101 +14580 0 .947 .101 +14581 0 .938 .101 +14582 0 .973 .087 +14583 0 .981 .087 +14584 0 .981 .087 +14585 0 .973 .087 +14586 0 .972 .095 +14587 0 .981 .096 +14588 0 .981 .096 +14589 0 .972 .095 +14590 -.009 1.002 -.003 +14591 -.009 1.011 -.005 +14592 .009 1.011 -.005 +14593 .009 1.002 -.003 +14594 .003 1.004 .008 +14595 .003 1.015 -.004 +14596 -.003 1.015 -.004 +14597 -.003 1.004 .008 +14598 .005 .921 .073 +14599 .002 .922 .078 +14600 -.004 .926 .084 +14601 -.014 .932 .087 +14602 -.022 .939 .086 +14603 -.031 .945 .08 +14604 -.036 .951 .071 +14605 -.038 .955 .06 +14606 -.038 .955 .054 +14607 .006 .921 .073 +14608 .005 .923 .075 +14609 0 .927 .082 +14610 -.007 .933 .085 +14611 -.016 .939 .083 +14612 -.024 .946 .078 +14613 -.031 .953 .067 +14614 -.035 .955 .059 +14615 -.037 .956 .054 +14616 .008 .921 .069 +14617 .008 .923 .07 +14618 .005 .927 .07 +14619 0 .933 .07 +14620 -.008 .939 .067 +14621 -.018 .946 .062 +14622 -.03 .953 .055 +14623 -.033 .955 .053 +14624 -.035 .956 .05 +14625 .008 .921 .065 +14626 .009 .922 .062 +14627 .008 .926 .055 +14628 .003 .932 .049 +14629 -.004 .939 .045 +14630 -.014 .946 .042 +14631 -.023 .949 .039 +14632 -.032 .955 .044 +14633 -.035 .955 .046 +14634 .008 .921 .062 +14635 .008 .922 .057 +14636 .007 .925 .046 +14637 0 .93 .037 +14638 -.006 .937 .032 +14639 -.015 .944 .03 +14640 -.024 .952 .031 +14641 -.032 .954 .039 +14642 -.035 .955 .044 +14643 .007 .921 .063 +14644 .006 .921 .058 +14645 0 .924 .048 +14646 -.004 .928 .041 +14647 -.012 .935 .036 +14648 -.022 .941 .034 +14649 -.029 .948 .036 +14650 -.034 .953 .041 +14651 -.036 .954 .045 +14652 .005 .921 .067 +14653 .004 .921 .064 +14654 -.003 .924 .061 +14655 -.011 .928 .057 +14656 -.02 .934 .053 +14657 -.028 .941 .05 +14658 -.034 .948 .048 +14659 -.037 .953 .047 +14660 -.038 .954 .048 +14661 .005 .921 .07 +14662 .002 .922 .073 +14663 -.005 .925 .075 +14664 -.015 .93 .076 +14665 -.024 .937 .073 +14666 -.033 .943 .069 +14667 -.037 .949 .062 +14668 -.039 .954 .056 +14669 -.039 .955 .052 +14670 -.005 .921 .073 +14671 -.002 .922 .078 +14672 .004 .926 .084 +14673 .014 .932 .087 +14674 .022 .939 .086 +14675 .031 .945 .08 +14676 .036 .951 .071 +14677 .038 .955 .06 +14678 .038 .955 .054 +14679 -.006 .921 .073 +14680 -.005 .923 .075 +14681 0 .927 .082 +14682 .007 .933 .085 +14683 .016 .939 .083 +14684 .024 .946 .078 +14685 .031 .953 .067 +14686 .035 .955 .059 +14687 .037 .956 .054 +14688 -.008 .921 .069 +14689 -.008 .923 .07 +14690 -.005 .927 .07 +14691 0 .933 .07 +14692 .008 .939 .067 +14693 .018 .946 .062 +14694 .03 .953 .055 +14695 .033 .955 .053 +14696 .035 .956 .05 +14697 -.008 .921 .065 +14698 -.009 .922 .062 +14699 -.008 .926 .055 +14700 -.003 .932 .049 +14701 .004 .939 .045 +14702 .014 .946 .042 +14703 .023 .949 .039 +14704 .032 .955 .044 +14705 .035 .955 .046 +14706 -.008 .921 .062 +14707 -.008 .922 .057 +14708 -.007 .925 .046 +14709 0 .93 .037 +14710 .006 .937 .032 +14711 .015 .944 .03 +14712 .024 .952 .031 +14713 .032 .954 .039 +14714 .035 .955 .044 +14715 -.007 .921 .063 +14716 -.006 .921 .058 +14717 0 .924 .048 +14718 .004 .928 .041 +14719 .012 .935 .036 +14720 .022 .941 .034 +14721 .029 .948 .036 +14722 .034 .953 .041 +14723 .036 .954 .045 +14724 -.005 .921 .067 +14725 -.004 .921 .064 +14726 .003 .924 .061 +14727 .011 .928 .057 +14728 .02 .934 .053 +14729 .028 .941 .05 +14730 .034 .948 .048 +14731 .037 .953 .047 +14732 .038 .954 .048 +14733 -.005 .921 .07 +14734 -.002 .922 .073 +14735 .005 .925 .075 +14736 .015 .93 .076 +14737 .024 .937 .073 +14738 .033 .943 .069 +14739 .037 .949 .062 +14740 .039 .954 .056 +14741 .039 .955 .052 +14742 -.011 .905 .063 +14743 -.01 .905 .063 +14744 -.012 .907 .06 +14745 -.005 .904 .051 +14746 -.002 .903 .045 +14747 0 .902 .042 +14748 .002 .902 .038 +14749 .002 .902 .037 +14750 -.004 .907 .055 +14751 -.008 .907 .032 +14752 -.012 .905 .037 +14753 -.014 .906 .04 +14754 -.012 .912 .05 +14755 -.01 .916 .054 +14756 -.01 .919 .055 +14757 -.008 .917 .056 +14758 -.008 .917 .053 +14759 -.007 .915 .054 +14760 -.009 .905 .067 +14761 -.008 .907 .071 +14762 -.008 .91 .06 +14763 -.006 .909 .055 +14764 -.006 .903 .069 +14765 -.006 .914 .063 +14766 -.007 .911 .056 +14767 -.005 .918 .049 +14768 0 .902 .018 +14769 -.006 .909 .055 +14770 -.004 .915 .059 +14771 -.006 .903 .059 +14772 -.006 .909 .055 +14773 -.007 .907 .06 +14774 -.007 .905 .068 +14775 -.008 .903 .069 +14776 -.005 .917 .054 +14777 -.006 .919 .047 +14778 -.006 .92 .053 +14779 -.008 .921 .054 +14780 -.01 .918 .052 +14781 -.012 .913 .049 +14782 -.014 .906 .038 +14783 -.008 .904 .027 +14784 .004 .905 .013 +14785 -.003 .905 .056 +14786 .003 .904 .021 +14787 0 .904 .024 +14788 -.008 .905 .043 +14789 -.01 .906 .051 +14790 -.012 .906 .056 +14791 -.011 .905 .06 +14792 -.009 .906 .031 +14793 -.007 .916 .051 +14794 -.009 .904 .063 +14795 -.011 .904 .062 +14796 -.007 .901 .07 +14797 -.014 .905 .016 +14798 -.01 .899 .029 +14799 -.01 .901 .047 +14800 -.013 .905 .057 +14801 -.012 .903 .059 +14802 -.01 .902 .061 +14803 -.008 .9 .065 +14804 -.01 .9 .063 +14805 -.004 .907 .055 +14806 -.007 .901 .072 +14807 -.006 .902 .063 +14808 -.004 .905 .058 +14809 -.007 .898 .072 +14810 -.015 .905 .024 +14811 -.017 .904 .048 +14812 -.014 .903 .055 +14813 -.012 .901 .06 +14814 -.011 .899 .063 +14815 -.01 .897 .064 +14816 -.007 .897 .066 +14817 -.009 .896 .064 +14818 -.002 .923 .05 +14819 0 .907 .023 +14820 -.004 .915 .059 +14821 -.004 .918 .055 +14822 -.006 .924 .049 +14823 -.006 .923 .052 +14824 -.008 .924 .052 +14825 -.01 .923 .051 +14826 -.009 .919 .05 +14827 -.011 .915 .045 +14828 -.007 .912 .031 +14829 .005 .904 .013 +14830 -.004 .919 .053 +14831 -.007 .909 .025 +14832 -.004 .914 .058 +14833 -.004 .917 .055 +14834 -.005 .921 .052 +14835 -.008 .919 .052 +14836 -.008 .919 .05 +14837 -.008 .918 .048 +14838 -.01 .914 .048 +14839 -.006 .914 .048 +14840 -.009 .912 .038 +14841 -.009 .896 .006 +14842 -.006 .903 .063 +14843 -.007 .902 .071 +14844 -.011 .901 .061 +14845 -.013 .903 .059 +14846 -.008 .898 .066 +14847 -.017 .903 .025 +14848 -.009 .898 .064 +14849 -.01 .899 .063 +14850 -.013 .903 .054 +14851 -.015 .9 .039 +14852 -.004 .906 .058 +14853 -.005 .907 .055 +14854 -.007 .9 .072 +14855 -.003 .923 .051 +14856 -.005 .924 .05 +14857 -.008 .922 .05 +14858 -.006 .923 .052 +14859 -.008 .92 .049 +14860 -.003 .918 .054 +14861 -.004 .913 .059 +14862 -.007 .911 .038 +14863 -.002 .907 .026 +14864 0 .901 .011 +14865 -.009 .914 .048 +14866 -.01 .915 .049 +14867 .011 .905 .063 +14868 .01 .905 .063 +14869 .012 .907 .06 +14870 .005 .904 .051 +14871 .002 .903 .045 +14872 0 .902 .042 +14873 -.002 .902 .038 +14874 -.002 .902 .037 +14875 .004 .907 .055 +14876 .008 .907 .032 +14877 .012 .905 .037 +14878 .014 .906 .04 +14879 .012 .912 .05 +14880 .01 .916 .054 +14881 .01 .919 .055 +14882 .008 .917 .056 +14883 .008 .917 .053 +14884 .007 .915 .054 +14885 .009 .905 .067 +14886 .008 .907 .071 +14887 .008 .91 .06 +14888 .006 .909 .055 +14889 .006 .903 .069 +14890 .006 .914 .063 +14891 .007 .911 .056 +14892 .005 .918 .049 +14893 0 .902 .018 +14894 .006 .909 .055 +14895 .004 .915 .059 +14896 .006 .903 .059 +14897 .006 .909 .055 +14898 .007 .907 .06 +14899 .007 .905 .068 +14900 .008 .903 .069 +14901 .005 .917 .054 +14902 .006 .919 .047 +14903 .006 .92 .053 +14904 .008 .921 .054 +14905 .01 .918 .052 +14906 .012 .913 .049 +14907 .014 .906 .038 +14908 .008 .904 .027 +14909 -.004 .905 .013 +14910 .003 .905 .056 +14911 -.003 .904 .021 +14912 0 .904 .024 +14913 .008 .905 .043 +14914 .01 .906 .051 +14915 .012 .906 .056 +14916 .011 .905 .06 +14917 .009 .906 .031 +14918 .007 .916 .051 +14919 .009 .904 .063 +14920 .011 .904 .062 +14921 .007 .901 .07 +14922 .014 .905 .016 +14923 .01 .899 .029 +14924 .01 .901 .047 +14925 .013 .905 .057 +14926 .012 .903 .059 +14927 .01 .902 .061 +14928 .008 .9 .065 +14929 .01 .9 .063 +14930 .004 .907 .055 +14931 .007 .901 .072 +14932 .006 .902 .063 +14933 .004 .905 .058 +14934 .007 .898 .072 +14935 .015 .905 .024 +14936 .017 .904 .048 +14937 .014 .903 .055 +14938 .012 .901 .06 +14939 .011 .899 .063 +14940 .01 .897 .064 +14941 .007 .897 .066 +14942 .009 .896 .064 +14943 .002 .923 .05 +14944 0 .907 .023 +14945 .004 .915 .059 +14946 .004 .918 .055 +14947 .006 .924 .049 +14948 .006 .923 .052 +14949 .008 .924 .052 +14950 .01 .923 .051 +14951 .009 .919 .05 +14952 .011 .915 .045 +14953 .007 .912 .031 +14954 -.005 .904 .013 +14955 .004 .919 .053 +14956 .007 .909 .025 +14957 .004 .914 .058 +14958 .004 .917 .055 +14959 .005 .921 .052 +14960 .008 .919 .052 +14961 .008 .919 .05 +14962 .008 .918 .048 +14963 .01 .914 .048 +14964 .006 .914 .048 +14965 .009 .912 .038 +14966 .009 .896 .006 +14967 .006 .903 .063 +14968 .007 .902 .071 +14969 .011 .901 .061 +14970 .013 .903 .059 +14971 .008 .898 .066 +14972 .017 .903 .025 +14973 .009 .898 .064 +14974 .01 .899 .063 +14975 .013 .903 .054 +14976 .015 .9 .039 +14977 .004 .906 .058 +14978 .005 .907 .055 +14979 .007 .9 .072 +14980 .003 .923 .051 +14981 .005 .924 .05 +14982 .008 .922 .05 +14983 .006 .923 .052 +14984 .008 .92 .049 +14985 .003 .918 .054 +14986 .004 .913 .059 +14987 .007 .911 .038 +14988 .002 .907 .026 +14989 0 .901 .011 +14990 .009 .914 .048 +14991 .01 .915 .049 +14992 .009 .941 .028 +14993 0 .942 .028 +14994 .021 .933 .033 +14995 .027 .925 .038 +14996 .029 .915 .045 +14997 .027 .907 .051 +14998 .029 .898 .056 +14999 .031 .893 .06 +15000 .033 .886 .064 +15001 .008 .921 .01 +15002 .021 .916 .015 +15003 .024 .909 .022 +15004 .025 .903 .028 +15005 .026 .896 .036 +15006 .025 .89 .042 +15007 .028 .885 .045 +15008 .032 .877 .052 +15009 .033 .881 .057 +15010 0 .922 .009 +15011 .026 .907 .035 +15012 0 .933 .018 +15013 .009 .929 .017 +15014 .02 .923 .022 +15015 .026 .915 .03 +15016 .028 .898 .044 +15017 .029 .89 .048 +15018 .03 .886 .052 +15019 .003 .929 .03 +15020 .009 .923 .033 +15021 .016 .917 .038 +15022 .017 .911 .042 +15023 .019 .905 .047 +15024 .016 .898 .051 +15025 .016 .892 .055 +15026 .017 .886 .061 +15027 0 .93 .032 +15028 -.009 .941 .028 +15029 -.021 .933 .033 +15030 -.027 .925 .038 +15031 -.029 .915 .045 +15032 -.027 .907 .051 +15033 -.029 .898 .056 +15034 -.031 .893 .06 +15035 -.033 .886 .064 +15036 -.008 .921 .01 +15037 -.021 .916 .015 +15038 -.024 .909 .022 +15039 -.025 .903 .028 +15040 -.026 .896 .036 +15041 -.025 .89 .042 +15042 -.028 .885 .045 +15043 -.032 .877 .052 +15044 -.033 .881 .057 +15045 -.026 .907 .035 +15046 -.009 .929 .017 +15047 -.02 .923 .022 +15048 -.026 .915 .03 +15049 -.028 .898 .044 +15050 -.029 .89 .048 +15051 -.03 .886 .052 +15052 -.003 .929 .03 +15053 -.009 .923 .033 +15054 -.016 .917 .038 +15055 -.017 .911 .042 +15056 -.019 .905 .047 +15057 -.016 .898 .051 +15058 -.016 .892 .055 +15059 -.017 .886 .061 +15060 .007 .906 -.01 +15061 0 .903 -.01 +15062 .013 .908 -.005 +15063 .012 .912 0 +15064 .01 .911 .008 +15065 .013 .906 .015 +15066 .014 .9 .023 +15067 .019 .892 .029 +15068 .025 .88 .036 +15069 0 .921 .009 +15070 .024 .909 .02 +15071 .019 .915 .015 +15072 .018 .905 .018 +15073 .018 .907 .012 +15074 .017 .909 .003 +15075 .01 .91 0 +15076 .027 .883 .045 +15077 .025 .89 .04 +15078 .025 .896 .034 +15079 0 .91 -.001 +15080 .032 .877 .05 +15081 .028 .877 .044 +15082 .023 .887 .037 +15083 .02 .894 .031 +15084 .019 .899 .027 +15085 .025 .902 .027 +15086 .009 .92 .008 +15087 0 .905 .007 +15088 0 .904 .014 +15089 .003 .907 .01 +15090 -.002 .889 .033 +15091 -.005 .897 .028 +15092 -.004 .902 .022 +15093 .002 .881 .038 +15094 -.003 .903 .019 +15095 .003 .906 .008 +15096 -.007 .906 -.01 +15097 -.013 .908 -.005 +15098 -.012 .912 0 +15099 -.01 .911 .008 +15100 -.013 .906 .015 +15101 -.014 .9 .023 +15102 -.019 .892 .029 +15103 -.025 .88 .036 +15104 -.024 .909 .02 +15105 -.019 .915 .015 +15106 -.018 .905 .018 +15107 -.018 .907 .012 +15108 -.017 .909 .003 +15109 -.01 .91 0 +15110 -.027 .883 .045 +15111 -.025 .89 .04 +15112 -.025 .896 .034 +15113 -.032 .877 .05 +15114 -.028 .877 .044 +15115 -.023 .887 .037 +15116 -.02 .894 .031 +15117 -.019 .899 .027 +15118 -.025 .902 .027 +15119 -.009 .92 .008 +15120 0 .904 .014 +15121 -.003 .907 .01 +15122 .002 .889 .033 +15123 .005 .897 .028 +15124 .004 .902 .022 +15125 -.002 .881 .038 +15126 .003 .903 .019 +15127 -.003 .906 .008 +15128 0 .797 .074 +15129 -.08 .73 .046 +15130 -.056 .677 -.04 +15131 -.052 .769 .062 +15132 -.037 .7 -.044 +15133 0 .723 -.039 +15134 -.013 .696 -.055 +15135 0 .692 -.104 +15136 .031 .692 -.081 +15137 -.022 .678 -.045 +15138 .039 .682 -.058 +15139 .08 .73 .046 +15140 .056 .677 -.04 +15141 .052 .769 .062 +15142 .037 .7 -.044 +15143 .013 .696 -.055 +15144 -.031 .692 -.081 +15145 .022 .678 -.045 +15146 -.039 .682 -.058 +15147 -.066 .749 .053 +15148 -.048 .692 -.049 +15149 0 .74 .024 +15150 -.068 .702 .003 +15151 -.025 .792 .074 +15152 -.007 .72 -.012 +15153 -.05 .734 .017 +15154 -.005 .716 -.054 +15155 .012 .693 -.101 +15156 0 .701 -.093 +15157 .017 .691 -.074 +15158 .023 .683 -.054 +15159 .034 .687 -.072 +15160 -.017 .689 -.06 +15161 -.034 .676 -.04 +15162 -.03 .695 -.062 +15163 0 .733 -.009 +15164 .066 .749 .053 +15165 .048 .692 -.049 +15166 .068 .702 .003 +15167 .025 .792 .074 +15168 .05 .734 .017 +15169 .007 .72 -.012 +15170 -.012 .693 -.101 +15171 -.017 .691 -.074 +15172 -.023 .683 -.054 +15173 -.034 .687 -.072 +15174 .017 .689 -.06 +15175 .034 .676 -.04 +15176 .03 .695 -.062 +15177 .005 .716 -.054 +15178 .002 .739 .012 +15179 -.057 .721 .001 +15180 .011 .702 -.085 +15181 .02 .686 -.067 +15182 -.03 .688 -.059 +15183 -.019 .731 -.003 +15184 -.002 .739 .012 +15185 .057 .721 .001 +15186 -.011 .702 -.085 +15187 -.02 .686 -.067 +15188 .03 .688 -.059 +15189 .019 .731 -.003 +15190 0 .698 -.032 +15191 0 .698 -.032 +15192 0 .7 -.026 +15193 0 .674 -.019 +15194 0 .674 -.019 +15195 0 .7 -.026 +15196 0 .68 -.017 +15197 0 .68 -.017 +15198 0 .705 -.002 +15199 0 .705 -.002 +15200 0 .706 .006 +15201 0 .677 .004 +15202 0 .677 .004 +15203 0 .706 .006 +15204 0 .684 .01 +15205 0 .684 .01 +15206 0 .701 .012 +15207 0 .701 .012 +15208 0 .702 .014 +15209 0 .686 .019 +15210 0 .686 .019 +15211 0 .702 .014 +15212 0 .688 .02 +15213 0 .688 .02 +15214 .041 .784 .068 +15215 .017 .714 -.023 +15216 -.025 .696 -.09 +15217 .015 .711 -.061 +15218 .035 .751 .022 +15219 -.01 .702 -.081 +15220 .019 .713 -.029 +15221 0 .702 -.032 +15222 0 .672 -.015 +15223 0 .71 -.001 +15224 0 .675 .006 +15225 0 .705 .012 +15226 0 .685 .02 +15227 0 .7 -.026 +15228 0 .686 -.061 +15229 0 .695 .018 +15230 0 .695 .019 +15231 0 .695 .019 +15232 0 .696 .014 +15233 0 .693 .016 +15234 0 .693 .016 +15235 0 .686 -.061 +15236 0 .685 -.027 +15237 0 .685 -.027 +15238 -.015 .711 -.061 +15239 -.017 .714 -.023 +15240 -.041 .784 .068 +15241 .001 .69 -.062 +15242 -.006 .676 -.043 +15243 -.001 .69 -.062 +15244 0 .704 .002 +15245 0 .697 .012 +15246 0 .685 .02 +15247 0 .705 .012 +15248 0 .675 .006 +15249 0 .695 .018 +15250 .01 .702 -.081 +15251 -.035 .751 .022 +15252 .025 .696 -.09 +15253 .006 .676 -.043 +15254 0 .69 0 +15255 0 .69 0 +15256 0 .68 -.016 +15257 0 .696 .014 +15258 0 .71 -.001 +15259 0 .672 -.015 +15260 0 .702 -.032 +15261 -.019 .713 -.029 +15262 0 .684 .009 +15263 0 .704 .018 +15264 0 .698 .01 +15265 0 .692 -.002 +15266 0 .698 .01 +15267 0 .703 .014 +15268 0 .706 .013 +15269 0 .703 .014 +15270 0 .706 .013 +15271 0 .692 -.002 +15272 0 .692 -.002 +15273 0 .692 -.002 +15274 0 .692 -.002 +15275 0 .697 .011 +15276 0 .692 -.002 +15277 0 .697 .011 +15278 0 .692 -.002 +15279 0 .692 -.002 +15280 0 .692 -.002 +15281 0 .692 -.002 +15282 0 .692 -.002 +15283 0 .692 -.002 +15284 0 .692 -.002 +15285 0 .692 -.002 +15286 0 .692 -.002 +15287 0 .692 -.002 +15288 0 .692 -.002 +15289 0 .692 -.002 +15290 0 .692 -.002 +15291 0 .692 -.002 +15292 0 .692 -.002 +15293 0 .692 -.002 +15294 0 .692 -.002 +15295 0 .692 -.002 +15296 0 .692 -.002 +15297 0 .692 -.002 +15298 0 .692 -.002 +15299 0 .692 -.002 +15300 0 .692 -.002 +15301 0 .692 -.002 +15302 0 .692 -.002 +15303 0 .702 -.01 +15304 0 .703 -.017 +15305 0 .682 -.004 +15306 0 .703 -.017 +15307 0 .702 -.01 +15308 0 .682 -.004 +15309 0 .675 -.007 +15310 0 .675 -.007 +15311 0 .708 -.016 +15312 0 .673 -.004 +15313 0 .703 -.01 +15314 0 .682 -.003 +15315 0 .687 -.014 +15316 0 .708 -.016 +15317 0 .673 -.004 +15318 0 .687 -.014 +15319 0 .692 -.002 +15320 0 .692 -.002 +15321 0 .692 -.002 +15322 0 .692 -.002 +15323 0 .692 -.002 +15324 0 .692 -.002 +15325 0 .692 -.002 +15326 0 .692 -.002 +15327 0 .692 -.002 +15328 .193 -.113 .122 +15329 .203 -.105 .101 +15330 .203 -.06 .114 +15331 .207 -.074 .118 +15332 .202 -.033 .13 +15333 .202 -.049 .14 +15334 .242 -.026 .171 +15335 .22 -.098 .095 +15336 .2 -.079 .104 +15337 .183 -.068 .124 +15338 .222 -.027 .166 +15339 .256 -.034 .157 +15340 .218 -.04 .171 +15341 .187 -.045 .142 +15342 .189 -.044 .004 +15343 .214 -.055 .007 +15344 .238 .012 .181 +15345 .187 -.047 .103 +15346 .221 -.059 .115 +15347 .186 -.022 .151 +15348 .217 .011 .182 +15349 .23 .014 .179 +15350 .212 -.004 .172 +15351 .228 .006 .15 +15352 .219 -.002 .141 +15353 .202 -.012 .107 +15354 .199 -.023 .078 +15355 .209 -.018 .156 +15356 .223 -.034 .04 +15357 .21 .006 .201 +15358 .229 -.033 .152 +15359 .216 -.004 .202 +15360 .208 .017 .216 +15361 .217 -.019 .189 +15362 .205 .016 .192 +15363 .221 -.032 .141 +15364 .232 -.087 .166 +15365 .202 -.019 .127 +15366 .206 0 .163 +15367 .218 -.08 .127 +15368 .213 -.048 .031 +15369 .231 -.045 .054 +15370 .175 -.049 .029 +15371 .207 -.02 .113 +15372 .167 -.054 .13 +15373 .173 -.067 .176 +15374 .207 -.008 .222 +15375 .196 -.082 .173 +15376 .205 -.059 .144 +15377 .246 -.1 .021 +15378 .186 -.097 .143 +15379 .197 -.106 .11 +15380 .222 -.094 .039 +15381 .182 -.002 .198 +15382 .198 0 .209 +15383 .198 -.05 .172 +15384 .194 -.021 .214 +15385 .197 -.034 .204 +15386 .191 -.049 .189 +15387 .237 -.072 .078 +15388 .218 -.044 .102 +15389 .204 -.006 .13 +15390 .195 -.011 .15 +15391 .184 -.021 .182 +15392 .243 -.038 .206 +15393 .231 .006 .222 +15394 .224 -.083 .199 +15395 .194 -.075 .2 +15396 .307 -.029 .207 +15397 .29 -.064 .173 +15398 .228 -.028 .251 +15399 .256 -.015 .253 +15400 .244 .028 .254 +15401 .294 -.033 .201 +15402 .296 -.005 .235 +15403 .233 -.03 .273 +15404 .211 -.054 .237 +15405 .18 -.022 .279 +15406 .163 -.027 .264 +15407 .164 -.053 .228 +15408 .218 -.028 .271 +15409 .196 -.011 .25 +15410 .188 -.03 .243 +15411 .181 -.044 .213 +15412 .168 -.041 .223 +15413 .2 -.04 .305 +15414 .209 -.063 .302 +15415 .22 -.015 .245 +15416 .204 -.015 .207 +15417 .207 -.027 .212 +15418 .21 -.049 .211 +15419 .244 -.027 .229 +15420 .245 -.065 .238 +15421 .255 -.076 .199 +15422 .23 -.053 .218 +15423 .237 -.105 .211 +15424 .25 -.013 .105 +15425 .256 -.135 .255 +15426 .183 -.072 .144 +15427 .268 -.096 .285 +15428 .28 -.092 .208 +15429 .275 -.04 .274 +15430 .279 -.068 .237 +15431 .305 -.033 .28 +15432 .267 -.033 .252 +15433 .252 -.039 .322 +15434 .186 -.074 .205 +15435 .174 -.106 .084 +15436 .226 -.135 .137 +15437 .252 -.121 .181 +15438 .292 -.093 .21 +15439 .257 -.014 .156 +15440 .257 -.08 .038 +15441 .268 -.008 .174 +15442 .23 -.021 .32 +15443 .234 -.04 .314 +15444 .164 -.04 .299 +15445 .254 -.02 .24 +15446 .243 -.025 .225 +15447 .178 -.06 .214 +15448 .273 -.028 .284 +15449 .249 -.027 .261 +15450 .241 -.054 .167 +15451 .184 -.046 .25 +15452 .279 -.043 .287 +15453 .276 -.036 .287 +15454 .259 -.067 .107 +15455 .178 -.041 .283 +15456 .158 -.098 .227 +15457 .203 -.036 .064 +15458 .244 -.097 .018 +15459 .254 .012 .236 +15460 .234 -.012 .213 +15461 .216 -.024 .23 +15462 .274 -.069 .163 +15463 .201 -.054 .22 +15464 .22 -.036 .209 +15465 .253 -.066 .209 +15466 .206 -.023 .221 +15467 .209 .014 .213 +15468 .258 -.016 .225 +15469 .256 -.034 .238 +15470 .292 -.019 .222 +15471 .229 .035 .248 +15472 .245 -.027 .245 +15473 .2 -.017 .222 +15474 .304 -.107 .216 +15475 .23 -.095 .219 +15476 .237 -.059 .23 +15477 .225 -.075 .232 +15478 .209 .012 .23 +15479 .233 -.058 .206 +15480 .229 0 .242 +15481 .201 .013 .259 +15482 .207 0 .246 +15483 .221 -.007 .248 +15484 .233 -.013 .249 +15485 .251 -.029 .262 +15486 .197 .023 .29 +15487 .203 -.003 .292 +15488 .198 .024 .286 +15489 .291 -.051 .24 +15490 .282 -.014 .271 +15491 .247 .004 .28 +15492 .227 .018 .289 +15493 .204 .027 .253 +15494 .253 -.027 .248 +15495 .213 .019 .251 +15496 .232 -.026 .236 +15497 .221 .005 .246 +15498 .212 .01 .239 +15499 .21 -.02 .284 +15500 .239 -.012 .27 +15501 .263 -.064 .264 +15502 .246 -.069 .253 +15503 .2 .031 .268 +15504 .26 0 .282 +15505 .213 -.049 .287 +15506 .217 -.008 .247 +15507 .24 -.005 .237 +15508 .233 .014 .241 +15509 .246 -.008 .242 +15510 .202 .019 .229 +15511 .226 -.007 .238 +15512 .22 0 .232 +15513 .217 .017 .259 +15514 .211 .04 .251 +15515 .208 .013 .225 +15516 .212 -.032 .201 +15517 .219 -.036 .293 +15518 .192 -.008 .296 +15519 .245 -.007 .291 +15520 .245 .014 .304 +15521 .278 -.043 .291 +15522 .244 -.048 .295 +15523 .218 -.005 .297 +15524 .192 0 .306 +15525 .19 -.01 .236 +15526 .198 -.02 .237 +15527 .222 -.006 .227 +15528 .227 -.065 .214 +15529 .171 -.065 .231 +15530 .164 -.061 .208 +15531 .215 -.006 .233 +15532 .202 0 .286 +15533 .213 -.071 .24 +15534 .237 -.007 .262 +15535 .167 .022 .31 +15536 .221 .002 .308 +15537 .181 -.009 .315 +15538 .256 -.018 .315 +15539 .194 -.019 .27 +15540 .19 -.018 .249 +15541 .206 -.027 .298 +15542 .166 .002 .309 +15543 .166 .027 .306 +15544 .227 -.042 .3 +15545 .181 -.049 .23 +15546 .184 -.008 .273 +15547 .181 0 .29 +15548 .234 -.014 .262 +15549 .208 -.016 .267 +15550 .218 .028 .239 +15551 .288 -.022 .211 +15552 .239 -.022 .227 +15553 .254 -.047 .212 +15554 .282 -.031 .238 +15555 .23 -.044 .212 +15556 -.052 .585 .152 +15557 .003 .526 .083 +15558 -.093 .548 .094 +15559 -.154 .531 .119 +15560 .161 .29 .005 +15561 -.212 .525 .131 +15562 -.252 .546 .128 +15563 -.038 .597 .023 +15564 -.088 .64 .12 +15565 -.06 .597 .01 +15566 -.135 .569 .092 +15567 .178 .063 .059 +15568 -.211 .515 .1 +15569 -.245 .517 .099 +15570 -.038 .706 -.008 +15571 -.065 .737 .085 +15572 -.028 .646 -.035 +15573 -.096 .59 .048 +15574 .184 -.131 .101 +15575 -.18 .532 .1 +15576 -.233 .528 .122 +15577 -.059 .769 .006 +15578 -.069 .826 .082 +15579 -.057 .728 -.07 +15580 -.073 .63 .004 +15581 -.122 .562 .078 +15582 -.174 .553 .109 +15583 -.196 .517 -.035 +15584 -.224 .622 -.349 +15585 -.191 .713 -.413 +15586 -.152 .769 -.449 +15587 .122 .606 -.004 +15588 -.158 .61 .158 +15589 -.1 .459 .201 +15590 -.271 .43 .045 +15591 -.198 .593 .123 +15592 -.129 .474 .175 +15593 -.255 .453 .046 +15594 -.079 .627 .226 +15595 -.029 .565 .219 +15596 -.16 .528 .175 +15597 -.202 .51 .151 +15598 .089 .654 -.025 +15599 -.241 .476 .138 +15600 -.26 .524 .13 +15601 -.129 .643 .182 +15602 -.089 .474 .237 +15603 -.248 .425 .087 +15604 -.211 .442 .15 +15605 -.011 .823 .002 +15606 -.201 .426 .147 +15607 -.189 .413 .088 +15608 -.114 .797 -.41 +15609 -.083 .806 -.345 +15610 -.037 .818 -.009 +15611 -.113 .941 -.084 +15612 -.09 .934 .022 +15613 -.094 .941 .095 +15614 -.088 .901 .121 +15615 -.172 .831 -.097 +15616 -.16 .905 -.069 +15617 -.12 .891 .078 +15618 -.109 .86 .133 +15619 -.102 .826 .14 +15620 -.169 .782 -.125 +15621 -.184 .751 -.278 +15622 -.196 .745 -.318 +15623 -.17 .86 -.169 +15624 -.166 .796 -.336 +15625 -.171 .787 -.389 +15626 -.093 .919 -.163 +15627 -.118 .798 -.333 +15628 -.122 .791 -.366 +15629 -.102 .903 -.125 +15630 -.085 .794 -.254 +15631 -.091 .785 -.289 +15632 -.16 .786 -.009 +15633 -.131 .759 .145 +15634 -.138 .739 .163 +15635 -.149 .714 .163 +15636 -.067 .686 .021 +15637 -.045 .704 .158 +15638 -.079 .696 .189 +15639 -.09 .652 .195 +15640 -.099 .781 -.445 +15641 -.137 .672 -.097 +15642 -.168 .586 .02 +15643 -.16 .559 .013 +15644 -.102 .722 .003 +15645 -.094 .762 .1 +15646 -.098 .75 .136 +15647 -.114 .712 .205 +15648 -.153 .686 -.076 +15649 -.072 .776 -.403 +15650 -.189 .551 -.025 +15651 -.192 .506 .136 +15652 -.15 .458 .111 +15653 -.146 .757 -.014 +15654 -.141 .794 .054 +15655 -.156 .811 .12 +15656 -.166 .753 .176 +15657 -.183 .689 -.096 +15658 .098 .566 .015 +15659 -.166 .556 -.013 +15660 -.183 .476 .108 +15661 -.192 .726 -.036 +15662 -.203 .775 .02 +15663 -.222 .765 .103 +15664 -.219 .716 .159 +15665 -.183 .637 -.092 +15666 -.174 .562 -.039 +15667 -.194 .467 .061 +15668 -.23 .656 -.045 +15669 -.259 .7 -.006 +15670 -.282 .712 .077 +15671 -.26 .677 .135 +15672 -.22 .575 -.066 +15673 -.225 .529 -.057 +15674 -.206 .458 .011 +15675 -.244 .533 .135 +15676 -.02 1.033 .044 +15677 .214 -.13 .097 +15678 -.172 .693 -.084 +15679 -.134 .774 .122 +15680 -.159 .732 .197 +15681 -.123 .794 .069 +15682 -.101 .76 0 +15683 -.055 .515 .263 +15684 -.108 .624 .237 +15685 .112 .647 -.032 +15686 -.237 .444 .154 +15687 -.21 .476 .154 +15688 -.207 .471 .092 +15689 -.225 .441 .134 +15690 -.22 .67 -.28 +15691 -.189 .681 -.236 +15692 .078 .658 -.075 +15693 -.244 .569 .106 +15694 -.173 .488 .145 +15695 -.266 .493 .037 +15696 -.27 .601 -.043 +15697 -.308 .627 -.021 +15698 -.325 .648 .048 +15699 -.305 .632 .093 +15700 -.252 .537 -.039 +15701 .077 .676 -.072 +15702 -.278 .487 -.004 +15703 -.266 .472 .004 +15704 -.312 .533 .082 +15705 -.261 .49 .127 +15706 -.291 .507 .05 +15707 -.325 .533 -.027 +15708 -.365 .552 -.003 +15709 -.365 .567 .045 +15710 -.35 .566 .096 +15711 -.298 .49 -.021 +15712 .112 .554 .037 +15713 -.277 .47 .04 +15714 -.291 .489 .028 +15715 -.373 .515 .091 +15716 -.337 .488 .136 +15717 -.335 .481 .075 +15718 -.365 .484 0 +15719 -.39 .5 .029 +15720 -.398 .519 .048 +15721 -.394 .533 .101 +15722 -.344 .461 -.017 +15723 -.307 .429 .062 +15724 -.334 .475 .047 +15725 -.075 .79 -.385 +15726 -.103 .794 -.427 +15727 -.13 .762 -.466 +15728 -.171 .693 -.475 +15729 -.22 .603 -.424 +15730 -.238 .464 -.131 +15731 -.211 .459 -.059 +15732 -.188 .491 -.046 +15733 -.223 .647 -.02 +15734 -.186 .554 -.052 +15735 -.251 .572 .109 +15736 -.212 .592 .111 +15737 -.124 .818 -.127 +15738 -.142 .812 -.078 +15739 -.127 .777 -.083 +15740 -.095 .725 -.069 +15741 -.151 .634 -.056 +15742 -.169 .7 -.05 +15743 -.279 .551 .087 +15744 -.273 .576 .097 +15745 -.242 .58 .067 +15746 -.053 .896 .091 +15747 -.037 .802 -.124 +15748 -.048 .834 .04 +15749 -.408 .487 .094 +15750 -.381 .493 .148 +15751 -.339 .451 .112 +15752 -.405 .441 .022 +15753 -.432 .461 .026 +15754 -.431 .484 .075 +15755 -.426 .494 .102 +15756 -.386 .415 .009 +15757 -.041 .863 .072 +15758 -.329 .379 .042 +15759 -.33 .419 .057 +15760 -.064 .748 .051 +15761 -.437 .459 .105 +15762 -.383 .456 .153 +15763 -.351 .42 .147 +15764 -.409 .447 .011 +15765 -.44 .467 .046 +15766 -.439 .473 .083 +15767 -.437 .483 .104 +15768 -.234 .614 .079 +15769 -.373 .421 0 +15770 -.35 .364 .08 +15771 -.354 .388 .08 +15772 -.255 .61 .091 +15773 .068 .545 -.011 +15774 -.461 .431 .121 +15775 -.4 .435 .145 +15776 -.351 .416 .142 +15777 -.438 .421 .023 +15778 -.457 .445 .056 +15779 -.462 .457 .089 +15780 -.455 .458 .118 +15781 -.225 .61 .045 +15782 -.435 .43 .007 +15783 -.363 .35 .093 +15784 -.36 .388 .102 +15785 -.477 .415 .138 +15786 -.425 .408 .164 +15787 -.381 .401 .176 +15788 -.474 .375 .057 +15789 -.497 .397 .067 +15790 -.5 .429 .088 +15791 -.482 .436 .111 +15792 -.245 .619 .053 +15793 -.469 .373 .043 +15794 -.407 .309 .104 +15795 -.367 .379 .126 +15796 -.489 .412 .172 +15797 -.443 .383 .212 +15798 -.412 .366 .192 +15799 -.491 .355 .098 +15800 -.51 .366 .107 +15801 -.508 .404 .134 +15802 -.496 .417 .159 +15803 -.216 .524 -.011 +15804 -.481 .324 .084 +15805 .157 .563 .059 +15806 -.444 .289 .117 +15807 -.406 .291 .123 +15808 -.501 .395 .194 +15809 -.451 .366 .237 +15810 -.437 .354 .198 +15811 -.525 .331 .107 +15812 -.538 .365 .133 +15813 -.535 .375 .147 +15814 -.517 .4 .181 +15815 -.263 .581 .024 +15816 -.507 .306 .107 +15817 -.464 .275 .136 +15818 -.433 .279 .141 +15819 -.531 .382 .215 +15820 -.475 .363 .249 +15821 -.445 .333 .235 +15822 -.549 .313 .141 +15823 -.556 .327 .152 +15824 -.553 .365 .184 +15825 -.542 .375 .2 +15826 -.527 .28 .145 +15827 .055 .792 -.002 +15828 -.487 .257 .164 +15829 -.445 .272 .188 +15830 -.552 .354 .242 +15831 -.5 .339 .267 +15832 -.472 .304 .267 +15833 -.575 .277 .184 +15834 -.583 .319 .198 +15835 -.58 .332 .218 +15836 -.562 .351 .231 +15837 -.533 .242 .188 +15838 -.264 .514 -.372 +15839 -.508 .235 .199 +15840 -.473 .256 .234 +15841 -.582 .278 .301 +15842 -.548 .285 .323 +15843 -.538 .254 .318 +15844 -.607 .232 .266 +15845 -.613 .251 .268 +15846 -.617 .255 .281 +15847 -.589 .28 .292 +15848 -.2 .454 .002 +15849 -.584 .212 .267 +15850 -.275 .503 -.33 +15851 -.557 .203 .264 +15852 -.533 .223 .297 +15853 -.611 .245 .359 +15854 -.579 .269 .374 +15855 -.613 .238 .335 +15856 -.634 .212 .285 +15857 -.638 .226 .309 +15858 -.633 .225 .33 +15859 -.615 .238 .35 +15860 -.611 .197 .271 +15861 -.252 .549 -.372 +15862 -.612 .201 .338 +15863 -.617 .227 .325 +15864 -.656 .222 .479 +15865 -.6 .232 .52 +15866 -.607 .219 .435 +15867 -.7 .146 .373 +15868 -.687 .157 .405 +15869 -.693 .16 .402 +15870 -.683 .192 .435 +15871 -.183 .449 .022 +15872 -.687 .118 .332 +15873 -.221 .577 -.329 +15874 -.643 .178 .367 +15875 -.62 .215 .415 +15876 -.047 .732 -.097 +15877 -.023 .684 -.051 +15878 -.04 .61 -.027 +15879 -.017 .547 .057 +15880 -.085 .52 .211 +15881 -.135 .465 .208 +15882 -.173 .357 .114 +15883 -.171 .368 .059 +15884 -.147 .411 .065 +15885 -.153 .43 .089 +15886 -.191 .429 .097 +15887 -.288 .435 .109 +15888 -.346 .465 .138 +15889 -.577 .229 .374 +15890 -.574 .211 .483 +15891 -.544 .271 .332 +15892 -.165 .768 -.231 +15893 -.16 .806 -.283 +15894 -.12 .81 -.294 +15895 -.075 .806 -.228 +15896 -.158 .604 -.244 +15897 -.272 .513 -.231 +15898 -.257 .555 -.178 +15899 -.273 .506 -.351 +15900 -.148 .656 -.182 +15901 -.265 .526 -.386 +15902 -.074 .583 -.149 +15903 -.007 .554 -.081 +15904 -.19 .578 -.15 +15905 -.231 .603 -.15 +15906 -.25 .579 -.178 +15907 -.274 .507 -.299 +15908 -.066 .835 -.198 +15909 -.111 .843 -.199 +15910 -.163 .813 -.216 +15911 -.16 .736 -.182 +15912 -.147 .617 -.146 +15913 -.065 .735 .012 +15914 -.028 .66 -.028 +15915 .006 .508 -.096 +15916 -.141 .481 -.149 +15917 -.144 .527 -.13 +15918 -.183 .505 -.084 +15919 -.175 .513 -.103 +15920 -.239 .488 -.019 +15921 -.283 .458 .023 +15922 -.311 .439 .021 +15923 -.349 .386 .013 +15924 -.385 .378 .01 +15925 -.395 .364 .022 +15926 -.432 .333 .055 +15927 -.449 .304 .092 +15928 -.474 .282 .126 +15929 -.51 .265 .154 +15930 -.527 .251 .177 +15931 -.556 .222 .241 +15932 -.61 .172 .325 +15933 -.635 .127 .353 +15934 .109 .506 -.042 +15935 -.472 .36 .235 +15936 -.497 .331 .272 +15937 -.467 .377 .209 +15938 -.459 .385 .184 +15939 -.43 .399 .123 +15940 -.399 .415 .1 +15941 -.384 .424 .125 +15942 -.199 .423 .046 +15943 -.2 .724 -.376 +15944 -.165 .775 -.433 +15945 -.12 .798 -.379 +15946 -.092 .803 -.318 +15947 -.158 .549 -.004 +15948 -.163 .448 .063 +15949 -.227 .633 -.312 +15950 -.182 .498 -.078 +15951 -.162 .67 -.472 +15952 -.121 .735 -.478 +15953 -.096 .762 -.463 +15954 -.07 .758 -.422 +15955 -.244 .462 -.214 +15956 -.222 .466 -.13 +15957 -.218 .587 -.434 +15958 -.173 .484 -.116 +15959 -.179 .641 -.44 +15960 -.148 .681 -.476 +15961 -.111 .702 -.474 +15962 -.083 .709 -.439 +15963 -.273 .485 -.303 +15964 -.225 .476 -.191 +15965 -.225 .584 -.414 +15966 -.129 .502 -.124 +15967 -.197 .631 -.414 +15968 -.163 .658 -.44 +15969 -.122 .672 -.443 +15970 -.093 .684 -.416 +15971 -.271 .507 -.302 +15972 -.248 .483 -.184 +15973 -.221 .592 -.396 +15974 -.088 .451 -.119 +15975 -.194 .641 -.361 +15976 -.166 .657 -.375 +15977 -.13 .666 -.381 +15978 -.094 .674 -.374 +15979 -.239 .527 -.266 +15980 -.224 .466 -.164 +15981 -.208 .616 -.346 +15982 -.01 .559 -.089 +15983 -.152 .662 -.272 +15984 -.146 .676 -.291 +15985 -.123 .69 -.307 +15986 -.088 .704 -.312 +15987 -.156 .58 -.167 +15988 -.118 .547 -.103 +15989 -.158 .644 -.26 +15990 .071 .564 -.053 +15991 -.067 .74 -.122 +15992 -.032 .54 -.058 +15993 -.084 .618 -.166 +15994 -.072 .733 -.137 +15995 -.217 .501 .043 +15996 -.167 .561 -.061 +15997 -.141 .541 -.099 +15998 -.166 .527 -.079 +15999 -.115 .778 -.07 +16000 -.112 .732 -.018 +16001 -.026 .671 -.023 +16002 -.078 .764 -.143 +16003 -.09 .771 -.075 +16004 -.108 .724 -.015 +16005 -.087 .662 -.014 +16006 -.082 .767 -.116 +16007 -.065 .767 -.071 +16008 -.058 .735 -.03 +16009 -.16 .633 -.013 +16010 -.114 .797 -.129 +16011 -.081 .785 -.171 +16012 -.036 .743 -.092 +16013 -.012 .723 -.055 +16014 -.176 .64 -.052 +16015 -.097 .775 -.131 +16016 -.091 .802 -.16 +16017 -.096 .524 -.088 +16018 -.037 .59 -.057 +16019 .029 .622 -.05 +16020 -.052 .554 -.091 +16021 .103 .54 -.044 +16022 .027 .498 -.03 +16023 -.042 .693 -.093 +16024 -.06 .686 -.081 +16025 .039 .659 -.037 +16026 0 .701 -.091 +16027 .024 .695 -.055 +16028 .053 .605 -.046 +16029 -.082 .738 -.233 +16030 -.104 .65 -.183 +16031 -.117 .68 -.205 +16032 -.11 .711 -.225 +16033 .045 .646 .015 +16034 -.052 .642 -.026 +16035 -.031 .651 -.022 +16036 .087 .503 -.008 +16037 .108 .529 -.027 +16038 .085 .585 -.051 +16039 .034 .665 .019 +16040 .007 .661 -.007 +16041 .028 .51 -.04 +16042 .108 .518 -.014 +16043 -.058 .634 -.093 +16044 -.082 .673 -.104 +16045 -.093 .716 -.13 +16046 -.079 .756 -.145 +16047 .009 .607 -.023 +16048 -.029 .633 -.024 +16049 -.045 .687 -.05 +16050 -.058 .738 -.075 +16051 .035 .614 .006 +16052 -.011 .635 0 +16053 -.041 .667 -.016 +16054 -.052 .711 -.043 +16055 -.028 .596 -.093 +16056 .044 .582 -.024 +16057 .083 .566 .035 +16058 .034 .573 .009 +16059 -.003 .587 -.033 +16060 -.016 .617 -.082 +16061 .154 .545 .007 +16062 .118 .566 .026 +16063 .126 .551 .063 +16064 .081 .533 .048 +16065 .042 .533 -.02 +16066 .058 .53 -.066 +16067 .144 .601 -.02 +16068 .153 .576 .051 +16069 .141 .564 .037 +16070 .115 .53 .066 +16071 .111 .521 .039 +16072 .078 .521 .082 +16073 .109 .667 -.04 +16074 .154 .602 -.008 +16075 .122 .568 .011 +16076 .124 .52 .073 +16077 .147 .528 .105 +16078 .073 .594 .128 +16079 .094 .704 -.059 +16080 .062 .609 .089 +16081 .036 .684 .072 +16082 .073 .739 .059 +16083 .053 .747 .018 +16084 .111 .619 -.048 +16085 .095 .696 -.062 +16086 .025 .77 -.107 +16087 .081 .658 -.041 +16088 .173 .538 .024 +16089 .207 .515 .008 +16090 .175 .542 -.059 +16091 .152 .601 .014 +16092 .143 .609 .004 +16093 .114 .619 -.061 +16094 .145 .682 -.044 +16095 .1 .691 -.036 +16096 .094 .684 -.087 +16097 .102 .755 -.086 +16098 .104 .748 -.1 +16099 .079 .699 -.158 +16100 .087 .736 -.119 +16101 .099 .742 -.134 +16102 -.065 .648 .045 +16103 .073 .608 0 +16104 -.026 .692 -.024 +16105 -.017 .66 -.016 +16106 .063 .636 .042 +16107 .025 .651 .023 +16108 .027 .634 -.015 +16109 -.042 .738 .04 +16110 -.035 .706 .044 +16111 .03 .659 .034 +16112 .006 .688 .063 +16113 .027 .684 -.08 +16114 -.084 .776 .087 +16115 -.081 .708 .118 +16116 -.012 .686 -.009 +16117 -.042 .689 .068 +16118 -.067 .668 -.025 +16119 -.005 .669 -.136 +16120 -.058 .66 .081 +16121 -.04 .659 -.038 +16122 -.052 .65 .055 +16123 .062 .635 .025 +16124 .024 .649 .018 +16125 -.029 .648 -.027 +16126 .09 .598 0 +16127 -.014 .645 -.005 +16128 -.02 .653 -.038 +16129 .032 .639 -.041 +16130 .126 .657 -.145 +16131 .064 .71 -.15 +16132 .073 .595 0 +16133 .128 .53 .01 +16134 .134 .518 .011 +16135 .209 .546 -.06 +16136 .198 .513 0 +16137 -.053 .677 -.059 +16138 -.065 .633 .016 +16139 -.03 .694 -.17 +16140 .074 .718 -.206 +16141 .002 .666 0 +16142 .064 .701 .025 +16143 .167 .737 -.093 +16144 .179 .777 -.088 +16145 -.007 .643 .021 +16146 .046 .644 .015 +16147 .141 .697 -.086 +16148 .157 .715 -.097 +16149 .116 .798 -.005 +16150 .117 .766 -.028 +16151 .122 .667 .042 +16152 .136 .707 .029 +16153 -.068 .695 .089 +16154 .146 .644 -.046 +16155 .093 .643 -.039 +16156 .076 .664 -.114 +16157 .098 .682 -.149 +16158 -.061 .685 -.035 +16159 -.03 .677 .036 +16160 -.034 .688 -.169 +16161 .056 .691 -.195 +16162 .052 .701 .015 +16163 .123 .717 -.007 +16164 .188 .762 -.034 +16165 .181 .751 -.058 +16166 .138 .753 -.018 +16167 .103 .596 .045 +16168 .133 .668 .023 +16169 -.07 .719 .1 +16170 .125 .577 -.014 +16171 .091 .573 .01 +16172 .07 .602 -.09 +16173 .076 .63 -.149 +16174 -.061 .712 -.01 +16175 -.014 .716 .059 +16176 -.034 .682 -.146 +16177 .015 .645 -.176 +16178 .083 .723 .048 +16179 .163 .755 .02 +16180 .22 .738 .006 +16181 .21 .726 -.003 +16182 .152 .712 .034 +16183 .082 .865 -.036 +16184 .147 .913 -.011 +16185 .002 1.002 .123 +16186 -.025 .842 .028 +16187 .004 .832 -.024 +16188 -.024 .881 -.045 +16189 -.031 .893 -.079 +16190 -.003 .978 .066 +16191 .037 1.004 .111 +16192 -.013 .953 -.034 +16193 -.028 .918 -.105 +16194 .124 1.013 .157 +16195 .223 1.005 .142 +16196 .3 .972 .088 +16197 .266 .973 .058 +16198 .213 .953 .021 +16199 .068 .852 -.076 +16200 .137 .9 -.037 +16201 -.041 .948 .116 +16202 -.051 .812 .023 +16203 -.01 .827 -.048 +16204 -.026 .812 -.004 +16205 -.076 .826 -.051 +16206 -.027 .909 .056 +16207 .021 .95 .148 +16208 -.052 .885 -.011 +16209 -.088 .85 -.065 +16210 .108 .973 .153 +16211 .2 .973 .124 +16212 .246 .946 .089 +16213 .222 .951 .055 +16214 .19 .934 .022 +16215 .071 1.076 -.031 +16216 .144 1.11 -.006 +16217 -.07 1.097 .179 +16218 -.045 1.006 .055 +16219 .004 1.056 -.01 +16220 -.056 .984 .041 +16221 -.05 .985 .008 +16222 -.073 1.071 .085 +16223 .02 1.101 .186 +16224 -.082 1.042 .046 +16225 -.066 .999 .005 +16226 .082 1.131 .154 +16227 .174 1.107 .11 +16228 .279 1.07 .055 +16229 .279 1.088 .012 +16230 .227 1.114 -.019 +16231 .009 .943 .013 +16232 .088 .967 .005 +16233 -.112 .922 .098 +16234 -.039 .819 .09 +16235 -.013 .905 .037 +16236 -.04 .797 .054 +16237 .024 .812 .012 +16238 -.106 .889 .044 +16239 -.056 .939 .127 +16240 -.07 .855 .002 +16241 -.022 .832 -.024 +16242 .011 .954 .135 +16243 .059 .945 .103 +16244 .219 .893 .065 +16245 .239 .92 0 +16246 .169 .961 -.013 +16247 -.014 .839 .034 +16248 .04 .826 .012 +16249 -.114 .756 .033 +16250 -.056 .692 .082 +16251 -.045 .797 .047 +16252 -.023 .673 .066 +16253 .05 .667 .012 +16254 -.087 .729 -.014 +16255 -.104 .769 .055 +16256 -.036 .712 -.058 +16257 .023 .688 -.041 +16258 -.059 .778 .102 +16259 -.002 .783 .09 +16260 .13 .729 .039 +16261 .134 .754 .004 +16262 .083 .801 .016 +16263 -.019 .799 -.02 +16264 .033 .789 -.007 +16265 -.103 .652 -.038 +16266 -.046 .657 .037 +16267 -.043 .777 .006 +16268 -.011 .624 .038 +16269 .031 .609 .015 +16270 -.074 .636 -.069 +16271 -.074 .681 0 +16272 -.046 .626 -.06 +16273 -.003 .602 -.017 +16274 -.043 .711 .051 +16275 .006 .713 .07 +16276 .131 .703 .054 +16277 .125 .742 .003 +16278 .08 .767 .003 +16279 .004 .699 -.048 +16280 .037 .68 -.038 +16281 -.01 .562 .011 +16282 -.03 .609 -.02 +16283 -.022 .696 -.038 +16284 -.019 .583 0 +16285 .004 .566 -.006 +16286 -.042 .55 0 +16287 .012 .572 -.005 +16288 -.051 .547 -.026 +16289 -.012 .547 -.007 +16290 .013 .63 .023 +16291 .049 .648 .047 +16292 .15 .621 .041 +16293 .154 .641 -.017 +16294 .091 .668 -.026 +16295 .021 .542 -.062 +16296 .061 .538 -.039 +16297 .016 .432 .053 +16298 0 .496 -.094 +16299 0 .55 -.074 +16300 -.024 .481 -.07 +16301 -.036 .459 -.042 +16302 -.018 .421 .037 +16303 .06 .451 .038 +16304 -.04 .427 -.005 +16305 -.027 .442 .002 +16306 .081 .501 .035 +16307 .113 .534 .044 +16308 .183 .526 .032 +16309 .156 .525 -.019 +16310 .096 .537 -.014 +16311 .064 .563 .017 +16312 .103 .558 .031 +16313 .118 .451 .116 +16314 .143 .487 -.087 +16315 .088 .556 .007 +16316 .086 .469 -.103 +16317 .025 .449 -.057 +16318 .078 .437 .085 +16319 .174 .471 .106 +16320 .035 .432 .071 +16321 .009 .448 .032 +16322 .222 .507 .095 +16323 .263 .536 .103 +16324 .269 .552 .057 +16325 .203 .545 .005 +16326 .139 .547 .046 +16327 .103 .344 .063 +16328 .106 .347 .081 +16329 .15 .265 .11 +16330 .203 .249 -.047 +16331 .137 .326 .092 +16332 .117 .227 -.089 +16333 .046 .222 -.059 +16334 .111 .246 .085 +16335 .213 .277 .114 +16336 .075 .236 .085 +16337 .031 .232 .015 +16338 .264 .299 .103 +16339 .311 .321 .117 +16340 .289 .354 .02 +16341 .211 .339 .001 +16342 .135 .343 .048 +16343 .125 .142 .128 +16344 .118 .159 .14 +16345 .173 .087 .117 +16346 .2 .012 .002 +16347 .135 .105 .089 +16348 .149 -.004 -.035 +16349 .11 .002 -.023 +16350 .132 .074 .104 +16351 .224 .099 .114 +16352 .105 .055 .091 +16353 .094 .021 .029 +16354 .264 .115 .105 +16355 .297 .138 .12 +16356 .296 .173 .027 +16357 .226 .155 .055 +16358 .147 .152 .091 +16359 .134 -.063 .13 +16360 .15 -.048 .102 +16361 .19 -.062 .13 +16362 .178 -.144 .066 +16363 .145 -.098 .114 +16364 .172 -.144 .031 +16365 .141 -.132 .028 +16366 .156 -.065 .126 +16367 .222 -.056 .128 +16368 .141 -.077 .115 +16369 .124 -.105 .078 +16370 .252 -.045 .114 +16371 .259 -.023 .083 +16372 .246 -.011 .065 +16373 .201 -.029 .071 +16374 .179 -.041 .102 +16375 .186 -.128 .087 +16376 .194 -.126 .067 +16377 .227 -.09 .147 +16378 .185 -.133 .107 +16379 .209 -.118 .101 +16380 .187 -.121 .081 +16381 .166 -.111 .09 +16382 .199 -.086 .143 +16383 .237 -.091 .144 +16384 .188 -.11 .135 +16385 .146 -.103 .103 +16386 .247 -.095 .13 +16387 .243 -.091 .096 +16388 .206 -.088 .076 +16389 .196 -.107 .061 +16390 .195 -.114 .082 +16391 .207 -.068 .019 +16392 .221 -.061 .02 +16393 .18 -.074 .125 +16394 .24 -.037 .144 +16395 .236 -.039 .127 +16396 .205 -.056 .084 +16397 .198 -.055 .066 +16398 .218 -.053 .051 +16399 .101 .632 -.094 +16400 .15 .715 -.049 +16401 .132 .664 -.05 +16402 .171 .738 -.036 +16403 .231 .747 .003 +16404 .282 .977 .122 +16405 .257 .951 .104 +16406 .266 1.072 .061 +16407 .154 .902 .089 +16408 .081 .744 .087 +16409 .109 .709 .05 +16410 .121 .641 .055 +16411 .16 .535 .064 +16412 .284 .554 .082 +16413 .324 .347 .073 +16414 .319 .165 .086 +16415 .252 -.009 .074 +16416 .222 -.082 .088 +16417 .042 .992 .106 +16418 .118 .998 .132 +16419 .24 .993 .099 +16420 .304 .972 .082 +16421 .314 .973 .066 +16422 .277 .974 .049 +16423 .208 .962 .041 +16424 .147 .905 .011 +16425 .076 .843 .003 +16426 .032 .803 0 +16427 .029 .833 -.009 +16428 -.006 .889 -.082 +16429 .02 .904 -.117 +16430 .012 .933 -.138 +16431 -.013 .975 -.091 +16432 -.006 .987 .041 +16433 -.002 .998 .12 +16434 -.047 .759 -.078 +16435 -.085 .93 -.037 +16436 -.063 .963 -.071 +16437 -.06 .961 .123 +16438 -.046 .987 .078 +16439 -.031 .973 .035 +16440 -.037 .945 -.043 +16441 -.251 .469 -.261 +16442 -.129 .714 -.486 +16443 -.076 .738 -.439 +16444 -.102 .738 -.48 +16445 -.223 .582 -.43 +16446 -.177 .491 -.097 +16447 -.226 .749 -.04 +16448 -.225 .756 -.03 +16449 -.18 .84 -.061 +16450 -.154 .842 -.099 +16451 -.172 .657 -.461 +16452 -.183 .498 -.063 +16453 -.207 .467 -.094 +16454 -.149 .673 -.059 +16455 -.188 .754 -.041 +16456 -.185 .765 -.074 +16457 -.174 .564 -.059 +16458 -.195 .676 -.034 +16459 -.153 .517 -.105 +16460 -.242 .466 -.18 +16461 -.217 .594 -.432 +16462 -.162 .682 -.475 +16463 -.123 .752 -.467 +16464 -.123 .795 -.084 +16465 -.174 .542 -.065 +16466 -.215 .47 -.17 +16467 -.214 .709 -.011 +16468 -.202 .722 -.038 +16469 -.239 .711 .009 +16470 -.244 .717 -.007 +16471 -.211 .803 -.079 +16472 -.209 .816 -.058 +16473 -.198 .834 -.126 +16474 -.149 .779 -.09 +16475 -.065 .752 -.015 +16476 -.073 .689 .03 +16477 -.095 .6 .095 +16478 -.083 .624 .08 +16479 -.148 .646 .015 +16480 -.06 .837 -.178 +16481 -.128 .622 .051 +16482 -.03 .777 -.045 +16483 -.044 .724 -.162 +16484 -.047 .762 -.171 +16485 -.045 .813 -.188 +16486 -.049 .786 -.179 +16487 -.038 .673 -.097 +16488 -.126 .85 -.177 +16489 -.18 .762 -.104 +16490 -.064 .87 -.051 +16491 -.188 .729 -.062 +16492 -.166 .831 -.149 +16493 -.055 .893 -.009 +16494 -.046 .84 -.104 +16495 -.051 .812 -.155 +16496 -.06 .792 -.208 +16497 -.059 .788 -.25 +16498 -.054 .796 -.28 +16499 -.05 .799 -.301 +16500 -.052 .771 -.331 +16501 -.051 .759 -.347 +16502 -.052 .747 -.365 +16503 -.055 .73 -.381 +16504 -.057 .71 -.391 +16505 -.058 .689 -.386 +16506 -.056 .686 -.362 +16507 -.05 .72 -.302 +16508 -.052 .761 -.221 +16509 -.05 .785 -.137 +16510 -.049 .758 -.078 +16511 -.048 .729 -.066 +16512 -.016 .65 -.086 +16513 .024 .537 -.085 +16514 .055 .549 .044 +16515 .032 .674 -.028 +16516 .018 .761 -.108 +16517 .018 .786 -.134 +16518 .043 .769 -.146 +16519 .091 .708 -.129 +16520 .072 .686 -.097 +16521 .018 .68 -.057 +16522 -.005 .694 -.038 +16523 -.022 .707 0 +16524 -.043 .799 .099 +16525 -.02 .779 .061 +16526 -.02 .725 -.008 +16527 -.022 .66 -.047 +16528 -.032 .639 -.052 +16529 -.19 .477 -.025 +16530 -.201 .452 -.015 +16531 -.219 .487 -.082 +16532 -.224 .61 -.398 +16533 -.179 .701 -.46 +16534 -.14 .765 -.464 +16535 -.112 .801 -.414 +16536 -.081 .806 -.364 +16537 -.243 .657 .037 +16538 -.242 .652 .054 +16539 -.215 .665 .003 +16540 -.23 .662 .018 +16541 -.196 .542 -.038 +16542 -.245 .61 -.002 +16543 -.278 .503 -.271 +16544 -.168 .692 -.034 +16545 -.051 .787 -.315 +16546 -.075 .912 .012 +16547 -.069 .941 0 +16548 -.045 .97 .024 +16549 -.051 .948 .008 +16550 -.055 .888 .018 +16551 -.038 .996 .066 +16552 -.019 .992 .06 +16553 -.032 1.013 .038 +16554 -.017 .999 .048 +16555 -.042 .996 .047 +16556 0 1.119 .084 +16557 .015 1.092 .064 +16558 -.02 1.097 .033 +16559 .006 1.09 .043 +16560 -.028 1.137 .058 +16561 .016 1.181 .04 +16562 .042 1.144 .024 +16563 -.008 1.126 .002 +16564 .04 1.13 .017 +16565 -.031 1.211 .031 +16566 .027 1.275 .036 +16567 .085 1.237 .034 +16568 .045 1.18 -.013 +16569 .11 1.206 -.011 +16570 -.03 1.31 .026 +16571 -.055 .808 -.007 +16572 -.1 .889 .065 +16573 -.098 .837 .013 +16574 -.032 .768 -.006 +16575 -.082 .87 .062 +16576 -.117 .969 .076 +16577 -.106 .927 .077 +16578 -.052 .821 .097 +16579 -.075 .925 .112 +16580 -.126 1.045 .076 +16581 -.106 .99 .094 +16582 -.051 .865 .172 +16583 -.055 .923 .151 +16584 -.114 1.052 .096 +16585 -.088 .985 .114 +16586 -.041 .858 .211 +16587 -.014 .932 .17 +16588 -.085 1.056 .128 +16589 -.055 .988 .131 +16590 -.006 .854 .197 +16591 -.111 .946 .08 +16592 -.1 .994 .077 +16593 -.073 .997 .043 +16594 -.131 1.02 .069 +16595 -.143 1.059 .053 +16596 -.077 1.043 .034 +16597 -.133 1.092 .081 +16598 -.122 1.116 .063 +16599 -.068 1.108 .04 +16600 -.122 1.084 .116 +16601 -.111 1.124 .066 +16602 -.074 1.127 .035 +16603 -.101 1.087 .138 +16604 -.092 1.124 .082 +16605 -.035 1.161 .026 +16606 .225 -.02 .252 +16607 .275 -.018 .244 +16608 .247 -.014 .258 +16609 .294 -.035 .193 +16610 .221 -.06 .275 +16611 .182 -.151 .144 +16612 .257 -.038 .209 +16613 .266 -.062 .182 +16614 .213 -.057 .306 +16615 .273 -.042 .279 +16616 .216 -.002 .28 +16617 .241 -.064 .238 +16618 .268 .019 .245 +16619 .264 .034 .246 +16620 .293 -.065 .265 +16621 .281 -.104 .277 +16622 .209 -.131 .207 +16623 .264 -.082 .155 +16624 .297 -.019 .238 +16625 .203 -.007 .27 +16626 .212 -.039 .304 +16627 .199 -.017 .297 +16628 .267 .015 .295 +16629 .224 -.065 .277 +16630 .208 -.045 .244 +16631 .233 .021 .267 +16632 -.193 -.113 .122 +16633 -.203 -.105 .101 +16634 -.203 -.06 .114 +16635 -.207 -.074 .118 +16636 -.202 -.033 .13 +16637 -.202 -.049 .14 +16638 -.242 -.026 .171 +16639 -.22 -.098 .095 +16640 -.2 -.079 .104 +16641 -.183 -.068 .124 +16642 -.222 -.027 .166 +16643 -.256 -.034 .157 +16644 -.218 -.04 .171 +16645 -.187 -.045 .142 +16646 -.189 -.044 .004 +16647 -.214 -.055 .007 +16648 -.238 .012 .181 +16649 -.187 -.047 .103 +16650 -.221 -.059 .115 +16651 -.186 -.022 .151 +16652 -.217 .011 .182 +16653 -.23 .014 .179 +16654 -.212 -.004 .172 +16655 -.228 .006 .15 +16656 -.219 -.002 .141 +16657 -.202 -.012 .107 +16658 -.199 -.023 .078 +16659 -.209 -.018 .156 +16660 -.223 -.034 .04 +16661 -.21 .006 .201 +16662 -.229 -.033 .152 +16663 -.216 -.004 .202 +16664 -.208 .017 .216 +16665 -.217 -.019 .189 +16666 -.205 .016 .192 +16667 -.221 -.032 .141 +16668 -.232 -.087 .166 +16669 -.202 -.019 .127 +16670 -.206 0 .163 +16671 -.218 -.08 .127 +16672 -.213 -.048 .031 +16673 -.231 -.045 .054 +16674 -.175 -.049 .029 +16675 -.207 -.02 .113 +16676 -.167 -.054 .13 +16677 -.173 -.067 .176 +16678 -.207 -.008 .222 +16679 -.196 -.082 .173 +16680 -.205 -.059 .144 +16681 -.246 -.1 .021 +16682 -.186 -.097 .143 +16683 -.197 -.106 .11 +16684 -.222 -.094 .039 +16685 -.182 -.002 .198 +16686 -.198 0 .209 +16687 -.198 -.05 .172 +16688 -.194 -.021 .214 +16689 -.197 -.034 .204 +16690 -.191 -.049 .189 +16691 -.237 -.072 .078 +16692 -.218 -.044 .102 +16693 -.204 -.006 .13 +16694 -.195 -.011 .15 +16695 -.184 -.021 .182 +16696 -.243 -.038 .206 +16697 -.231 .006 .222 +16698 -.224 -.083 .199 +16699 -.194 -.075 .2 +16700 -.307 -.029 .207 +16701 -.29 -.064 .173 +16702 -.228 -.028 .251 +16703 -.256 -.015 .253 +16704 -.244 .028 .254 +16705 -.294 -.033 .201 +16706 -.296 -.005 .235 +16707 -.233 -.03 .273 +16708 -.211 -.054 .237 +16709 -.18 -.022 .279 +16710 -.163 -.027 .264 +16711 -.164 -.053 .228 +16712 -.218 -.028 .271 +16713 -.196 -.011 .25 +16714 -.188 -.03 .243 +16715 -.181 -.044 .213 +16716 -.168 -.041 .223 +16717 -.2 -.04 .305 +16718 -.209 -.063 .302 +16719 -.22 -.015 .245 +16720 -.204 -.015 .207 +16721 -.207 -.027 .212 +16722 -.21 -.049 .211 +16723 -.244 -.027 .229 +16724 -.245 -.065 .238 +16725 -.255 -.076 .199 +16726 -.23 -.053 .218 +16727 -.237 -.105 .211 +16728 -.25 -.013 .105 +16729 -.256 -.135 .255 +16730 -.183 -.072 .144 +16731 -.268 -.096 .285 +16732 -.28 -.092 .208 +16733 -.275 -.04 .274 +16734 -.279 -.068 .237 +16735 -.305 -.033 .28 +16736 -.267 -.033 .252 +16737 -.252 -.039 .322 +16738 -.186 -.074 .205 +16739 -.174 -.106 .084 +16740 -.226 -.135 .137 +16741 -.252 -.121 .181 +16742 -.292 -.093 .21 +16743 -.257 -.014 .156 +16744 -.257 -.08 .038 +16745 -.268 -.008 .174 +16746 -.23 -.021 .32 +16747 -.234 -.04 .314 +16748 -.164 -.04 .299 +16749 -.254 -.02 .24 +16750 -.243 -.025 .225 +16751 -.178 -.06 .214 +16752 -.273 -.028 .284 +16753 -.249 -.027 .261 +16754 -.241 -.054 .167 +16755 -.184 -.046 .25 +16756 -.279 -.043 .287 +16757 -.276 -.036 .287 +16758 -.259 -.067 .107 +16759 -.178 -.041 .283 +16760 -.158 -.098 .227 +16761 -.203 -.036 .064 +16762 -.244 -.097 .018 +16763 -.254 .012 .236 +16764 -.234 -.012 .213 +16765 -.216 -.024 .23 +16766 -.274 -.069 .163 +16767 -.201 -.054 .22 +16768 -.22 -.036 .209 +16769 -.253 -.066 .209 +16770 -.206 -.023 .221 +16771 -.209 .014 .213 +16772 -.258 -.016 .225 +16773 -.256 -.034 .238 +16774 -.292 -.019 .222 +16775 -.229 .035 .248 +16776 -.245 -.027 .245 +16777 -.2 -.017 .222 +16778 -.304 -.107 .216 +16779 -.23 -.095 .219 +16780 -.237 -.059 .23 +16781 -.225 -.075 .232 +16782 -.209 .012 .23 +16783 -.233 -.058 .206 +16784 -.229 0 .242 +16785 -.201 .013 .259 +16786 -.207 0 .246 +16787 -.221 -.007 .248 +16788 -.233 -.013 .249 +16789 -.251 -.029 .262 +16790 -.197 .023 .29 +16791 -.203 -.003 .292 +16792 -.198 .024 .286 +16793 -.291 -.051 .24 +16794 -.282 -.014 .271 +16795 -.247 .004 .28 +16796 -.227 .018 .289 +16797 -.204 .027 .253 +16798 -.253 -.027 .248 +16799 -.213 .019 .251 +16800 -.232 -.026 .236 +16801 -.221 .005 .246 +16802 -.212 .01 .239 +16803 -.21 -.02 .284 +16804 -.239 -.012 .27 +16805 -.263 -.064 .264 +16806 -.246 -.069 .253 +16807 -.2 .031 .268 +16808 -.26 0 .282 +16809 -.213 -.049 .287 +16810 -.217 -.008 .247 +16811 -.24 -.005 .237 +16812 -.233 .014 .241 +16813 -.246 -.008 .242 +16814 -.202 .019 .229 +16815 -.226 -.007 .238 +16816 -.22 0 .232 +16817 -.217 .017 .259 +16818 -.211 .04 .251 +16819 -.208 .013 .225 +16820 -.212 -.032 .201 +16821 -.219 -.036 .293 +16822 -.192 -.008 .296 +16823 -.245 -.007 .291 +16824 -.245 .014 .304 +16825 -.278 -.043 .291 +16826 -.244 -.048 .295 +16827 -.218 -.005 .297 +16828 -.192 0 .306 +16829 -.19 -.01 .236 +16830 -.198 -.02 .237 +16831 -.222 -.006 .227 +16832 -.227 -.065 .214 +16833 -.171 -.065 .231 +16834 -.164 -.061 .208 +16835 -.215 -.006 .233 +16836 -.202 0 .286 +16837 -.213 -.071 .24 +16838 -.237 -.007 .262 +16839 -.167 .022 .31 +16840 -.221 .002 .308 +16841 -.181 -.009 .315 +16842 -.256 -.018 .315 +16843 -.194 -.019 .27 +16844 -.19 -.018 .249 +16845 -.206 -.027 .298 +16846 -.166 .002 .309 +16847 -.166 .027 .306 +16848 -.227 -.042 .3 +16849 -.181 -.049 .23 +16850 -.184 -.008 .273 +16851 -.181 0 .29 +16852 -.234 -.014 .262 +16853 -.208 -.016 .267 +16854 -.218 .028 .239 +16855 -.288 -.022 .211 +16856 -.239 -.022 .227 +16857 -.254 -.047 .212 +16858 -.282 -.031 .238 +16859 -.23 -.044 .212 +16860 .052 .585 .152 +16861 -.003 .526 .083 +16862 .093 .548 .094 +16863 .154 .531 .119 +16864 -.161 .29 .005 +16865 .212 .525 .131 +16866 .252 .546 .128 +16867 .038 .597 .023 +16868 .088 .64 .12 +16869 .06 .597 .01 +16870 .135 .569 .092 +16871 -.178 .063 .059 +16872 .211 .515 .1 +16873 .245 .517 .099 +16874 .038 .706 -.008 +16875 .065 .737 .085 +16876 .028 .646 -.035 +16877 .096 .59 .048 +16878 -.184 -.131 .101 +16879 .18 .532 .1 +16880 .233 .528 .122 +16881 .059 .769 .006 +16882 .069 .826 .082 +16883 .057 .728 -.07 +16884 .073 .63 .004 +16885 .122 .562 .078 +16886 .174 .553 .109 +16887 .196 .517 -.035 +16888 .224 .622 -.349 +16889 .191 .713 -.413 +16890 .152 .769 -.449 +16891 -.122 .606 -.004 +16892 .158 .61 .158 +16893 .1 .459 .201 +16894 .271 .43 .045 +16895 .198 .593 .123 +16896 .129 .474 .175 +16897 .255 .453 .046 +16898 .079 .627 .226 +16899 .029 .565 .219 +16900 .16 .528 .175 +16901 .202 .51 .151 +16902 -.089 .654 -.025 +16903 .241 .476 .138 +16904 .26 .524 .13 +16905 .129 .643 .182 +16906 .089 .474 .237 +16907 .248 .425 .087 +16908 .211 .442 .15 +16909 .011 .823 .002 +16910 .201 .426 .147 +16911 .189 .413 .088 +16912 0 .739 .003 +16913 .114 .797 -.41 +16914 .083 .806 -.345 +16915 .037 .818 -.009 +16916 0 .794 -.264 +16917 0 .63 .086 +16918 0 .662 .077 +16919 0 .714 .042 +16920 .113 .941 -.084 +16921 .09 .934 .022 +16922 .094 .941 .095 +16923 .088 .901 .121 +16924 .172 .831 -.097 +16925 .16 .905 -.069 +16926 .12 .891 .078 +16927 .109 .86 .133 +16928 .102 .826 .14 +16929 .169 .782 -.125 +16930 .184 .751 -.278 +16931 .196 .745 -.318 +16932 .17 .86 -.169 +16933 .166 .796 -.336 +16934 .171 .787 -.389 +16935 .093 .919 -.163 +16936 .118 .798 -.333 +16937 .122 .791 -.366 +16938 .102 .903 -.125 +16939 .085 .794 -.254 +16940 .091 .785 -.289 +16941 0 .866 -.032 +16942 0 .788 -.179 +16943 0 .782 -.216 +16944 .16 .786 -.009 +16945 .131 .759 .145 +16946 .138 .739 .163 +16947 .149 .714 .163 +16948 .067 .686 .021 +16949 .045 .704 .158 +16950 .079 .696 .189 +16951 .09 .652 .195 +16952 .099 .781 -.445 +16953 .137 .672 -.097 +16954 .168 .586 .02 +16955 .16 .559 .013 +16956 .102 .722 .003 +16957 .094 .762 .1 +16958 .098 .75 .136 +16959 .114 .712 .205 +16960 .153 .686 -.076 +16961 .072 .776 -.403 +16962 .189 .551 -.025 +16963 .192 .506 .136 +16964 .15 .458 .111 +16965 .146 .757 -.014 +16966 .141 .794 .054 +16967 .156 .811 .12 +16968 .166 .753 .176 +16969 .183 .689 -.096 +16970 -.098 .566 .015 +16971 .166 .556 -.013 +16972 .183 .476 .108 +16973 .192 .726 -.036 +16974 .203 .775 .02 +16975 .222 .765 .103 +16976 .219 .716 .159 +16977 .183 .637 -.092 +16978 .174 .562 -.039 +16979 .194 .467 .061 +16980 .23 .656 -.045 +16981 .259 .7 -.006 +16982 .282 .712 .077 +16983 .26 .677 .135 +16984 .22 .575 -.066 +16985 .225 .529 -.057 +16986 .206 .458 .011 +16987 .244 .533 .135 +16988 .02 1.033 .044 +16989 -.214 -.13 .097 +16990 .172 .693 -.084 +16991 .134 .774 .122 +16992 .159 .732 .197 +16993 .123 .794 .069 +16994 .101 .76 0 +16995 .055 .515 .263 +16996 .108 .624 .237 +16997 -.112 .647 -.032 +16998 .237 .444 .154 +16999 .21 .476 .154 +17000 .207 .471 .092 +17001 .225 .441 .134 +17002 .22 .67 -.28 +17003 .189 .681 -.236 +17004 -.078 .658 -.075 +17005 .244 .569 .106 +17006 .173 .488 .145 +17007 .266 .493 .037 +17008 .27 .601 -.043 +17009 .308 .627 -.021 +17010 .325 .648 .048 +17011 .305 .632 .093 +17012 .252 .537 -.039 +17013 -.077 .676 -.072 +17014 .278 .487 -.004 +17015 .266 .472 .004 +17016 .312 .533 .082 +17017 .261 .49 .127 +17018 .291 .507 .05 +17019 .325 .533 -.027 +17020 .365 .552 -.003 +17021 .365 .567 .045 +17022 .35 .566 .096 +17023 .298 .49 -.021 +17024 -.112 .554 .037 +17025 .277 .47 .04 +17026 .291 .489 .028 +17027 .373 .515 .091 +17028 .337 .488 .136 +17029 .335 .481 .075 +17030 .365 .484 0 +17031 .39 .5 .029 +17032 .398 .519 .048 +17033 .394 .533 .101 +17034 .344 .461 -.017 +17035 .307 .429 .062 +17036 .334 .475 .047 +17037 0 .765 -.303 +17038 .075 .79 -.385 +17039 .103 .794 -.427 +17040 .13 .762 -.466 +17041 .171 .693 -.475 +17042 .22 .603 -.424 +17043 .238 .464 -.131 +17044 .211 .459 -.059 +17045 .188 .491 -.046 +17046 .223 .647 -.02 +17047 .186 .554 -.052 +17048 .251 .572 .109 +17049 .212 .592 .111 +17050 0 .656 -.01 +17051 0 .838 -.201 +17052 .124 .818 -.127 +17053 .142 .812 -.078 +17054 .127 .777 -.083 +17055 .095 .725 -.069 +17056 .151 .634 -.056 +17057 .169 .7 -.05 +17058 .279 .551 .087 +17059 .273 .576 .097 +17060 .242 .58 .067 +17061 0 .755 -.024 +17062 .053 .896 .091 +17063 .037 .802 -.124 +17064 .048 .834 .04 +17065 .408 .487 .094 +17066 .381 .493 .148 +17067 .339 .451 .112 +17068 .405 .441 .022 +17069 .432 .461 .026 +17070 .431 .484 .075 +17071 .426 .494 .102 +17072 .386 .415 .009 +17073 .041 .863 .072 +17074 .329 .379 .042 +17075 .33 .419 .057 +17076 0 .679 -.068 +17077 .064 .748 .051 +17078 .437 .459 .105 +17079 .383 .456 .153 +17080 .351 .42 .147 +17081 .409 .447 .011 +17082 .44 .467 .046 +17083 .439 .473 .083 +17084 .437 .483 .104 +17085 .234 .614 .079 +17086 .373 .421 0 +17087 .35 .364 .08 +17088 .354 .388 .08 +17089 .255 .61 .091 +17090 -.068 .545 -.011 +17091 .461 .431 .121 +17092 .4 .435 .145 +17093 .351 .416 .142 +17094 .438 .421 .023 +17095 .457 .445 .056 +17096 .462 .457 .089 +17097 .455 .458 .118 +17098 .225 .61 .045 +17099 .435 .43 .007 +17100 .363 .35 .093 +17101 .36 .388 .102 +17102 .477 .415 .138 +17103 .425 .408 .164 +17104 .381 .401 .176 +17105 .474 .375 .057 +17106 .497 .397 .067 +17107 .5 .429 .088 +17108 .482 .436 .111 +17109 .245 .619 .053 +17110 .469 .373 .043 +17111 .407 .309 .104 +17112 .367 .379 .126 +17113 .489 .412 .172 +17114 .443 .383 .212 +17115 .412 .366 .192 +17116 .491 .355 .098 +17117 .51 .366 .107 +17118 .508 .404 .134 +17119 .496 .417 .159 +17120 .216 .524 -.011 +17121 .481 .324 .084 +17122 -.157 .563 .059 +17123 .444 .289 .117 +17124 .406 .291 .123 +17125 .501 .395 .194 +17126 .451 .366 .237 +17127 .437 .354 .198 +17128 .525 .331 .107 +17129 .538 .365 .133 +17130 .535 .375 .147 +17131 .517 .4 .181 +17132 .263 .581 .024 +17133 .507 .306 .107 +17134 .464 .275 .136 +17135 .433 .279 .141 +17136 .531 .382 .215 +17137 .475 .363 .249 +17138 .445 .333 .235 +17139 .549 .313 .141 +17140 .556 .327 .152 +17141 .553 .365 .184 +17142 .542 .375 .2 +17143 .527 .28 .145 +17144 -.055 .792 -.002 +17145 .487 .257 .164 +17146 .445 .272 .188 +17147 .552 .354 .242 +17148 .5 .339 .267 +17149 .472 .304 .267 +17150 .575 .277 .184 +17151 .583 .319 .198 +17152 .58 .332 .218 +17153 .562 .351 .231 +17154 .533 .242 .188 +17155 .264 .514 -.372 +17156 .508 .235 .199 +17157 .473 .256 .234 +17158 .582 .278 .301 +17159 .548 .285 .323 +17160 .538 .254 .318 +17161 .607 .232 .266 +17162 .613 .251 .268 +17163 .617 .255 .281 +17164 .589 .28 .292 +17165 .2 .454 .002 +17166 .584 .212 .267 +17167 .275 .503 -.33 +17168 .557 .203 .264 +17169 .533 .223 .297 +17170 .611 .245 .359 +17171 .579 .269 .374 +17172 .613 .238 .335 +17173 .634 .212 .285 +17174 .638 .226 .309 +17175 .633 .225 .33 +17176 .615 .238 .35 +17177 .611 .197 .271 +17178 .252 .549 -.372 +17179 .612 .201 .338 +17180 .617 .227 .325 +17181 .656 .222 .479 +17182 .6 .232 .52 +17183 .607 .219 .435 +17184 .7 .146 .373 +17185 .687 .157 .405 +17186 .693 .16 .402 +17187 .683 .192 .435 +17188 .183 .449 .022 +17189 .687 .118 .332 +17190 .221 .577 -.329 +17191 .643 .178 .367 +17192 .62 .215 .415 +17193 .047 .732 -.097 +17194 .023 .684 -.051 +17195 .04 .61 -.027 +17196 .017 .547 .057 +17197 .085 .52 .211 +17198 .135 .465 .208 +17199 .173 .357 .114 +17200 .171 .368 .059 +17201 .147 .411 .065 +17202 .153 .43 .089 +17203 .191 .429 .097 +17204 .288 .435 .109 +17205 .346 .465 .138 +17206 .577 .229 .374 +17207 .574 .211 .483 +17208 .544 .271 .332 +17209 .165 .768 -.231 +17210 .16 .806 -.283 +17211 .12 .81 -.294 +17212 .075 .806 -.228 +17213 0 .812 -.128 +17214 .158 .604 -.244 +17215 .272 .513 -.231 +17216 .257 .555 -.178 +17217 .273 .506 -.351 +17218 .148 .656 -.182 +17219 .265 .526 -.386 +17220 .074 .583 -.149 +17221 .007 .554 -.081 +17222 .19 .578 -.15 +17223 .231 .603 -.15 +17224 .25 .579 -.178 +17225 .274 .507 -.299 +17226 0 .852 -.086 +17227 .066 .835 -.198 +17228 .111 .843 -.199 +17229 .163 .813 -.216 +17230 .16 .736 -.182 +17231 .147 .617 -.146 +17232 .065 .735 .012 +17233 .028 .66 -.028 +17234 -.006 .508 -.096 +17235 .141 .481 -.149 +17236 .144 .527 -.13 +17237 .183 .505 -.084 +17238 .175 .513 -.103 +17239 .239 .488 -.019 +17240 .283 .458 .023 +17241 .311 .439 .021 +17242 .349 .386 .013 +17243 .385 .378 .01 +17244 .395 .364 .022 +17245 .432 .333 .055 +17246 .449 .304 .092 +17247 .474 .282 .126 +17248 .51 .265 .154 +17249 .527 .251 .177 +17250 .556 .222 .241 +17251 .61 .172 .325 +17252 .635 .127 .353 +17253 -.109 .506 -.042 +17254 .472 .36 .235 +17255 .497 .331 .272 +17256 .467 .377 .209 +17257 .459 .385 .184 +17258 .43 .399 .123 +17259 .399 .415 .1 +17260 .384 .424 .125 +17261 .199 .423 .046 +17262 .2 .724 -.376 +17263 .165 .775 -.433 +17264 .12 .798 -.379 +17265 .092 .803 -.318 +17266 0 .791 -.248 +17267 .158 .549 -.004 +17268 .163 .448 .063 +17269 .227 .633 -.312 +17270 .182 .498 -.078 +17271 .162 .67 -.472 +17272 .121 .735 -.478 +17273 .096 .762 -.463 +17274 .07 .758 -.422 +17275 .244 .462 -.214 +17276 .222 .466 -.13 +17277 .218 .587 -.434 +17278 .173 .484 -.116 +17279 .179 .641 -.44 +17280 .148 .681 -.476 +17281 .111 .702 -.474 +17282 .083 .709 -.439 +17283 0 .707 -.372 +17284 .273 .485 -.303 +17285 .225 .476 -.191 +17286 .225 .584 -.414 +17287 .129 .502 -.124 +17288 .197 .631 -.414 +17289 .163 .658 -.44 +17290 .122 .672 -.443 +17291 .093 .684 -.416 +17292 .271 .507 -.302 +17293 .248 .483 -.184 +17294 .221 .592 -.396 +17295 .088 .451 -.119 +17296 .194 .641 -.361 +17297 .166 .657 -.375 +17298 .13 .666 -.381 +17299 .094 .674 -.374 +17300 .239 .527 -.266 +17301 .224 .466 -.164 +17302 .208 .616 -.346 +17303 .01 .559 -.089 +17304 .152 .662 -.272 +17305 .146 .676 -.291 +17306 .123 .69 -.307 +17307 .088 .704 -.312 +17308 .156 .58 -.167 +17309 .118 .547 -.103 +17310 .158 .644 -.26 +17311 -.071 .564 -.053 +17312 .067 .74 -.122 +17313 0 .72 -.188 +17314 .032 .54 -.058 +17315 .084 .618 -.166 +17316 .072 .733 -.137 +17317 .217 .501 .043 +17318 .167 .561 -.061 +17319 .141 .541 -.099 +17320 .166 .527 -.079 +17321 .115 .778 -.07 +17322 .112 .732 -.018 +17323 .026 .671 -.023 +17324 0 .758 -.19 +17325 0 .782 -.178 +17326 .078 .764 -.143 +17327 .09 .771 -.075 +17328 .108 .724 -.015 +17329 .087 .662 -.014 +17330 .082 .767 -.116 +17331 0 .814 -.193 +17332 .065 .767 -.071 +17333 .058 .735 -.03 +17334 .16 .633 -.013 +17335 .114 .797 -.129 +17336 .081 .785 -.171 +17337 .036 .743 -.092 +17338 .012 .723 -.055 +17339 .176 .64 -.052 +17340 .097 .775 -.131 +17341 .091 .802 -.16 +17342 .096 .524 -.088 +17343 .037 .59 -.057 +17344 -.029 .622 -.05 +17345 .052 .554 -.091 +17346 0 .666 -.148 +17347 0 .639 -.068 +17348 -.103 .54 -.044 +17349 -.027 .498 -.03 +17350 .042 .693 -.093 +17351 .06 .686 -.081 +17352 -.039 .659 -.037 +17353 0 .701 -.091 +17354 -.024 .695 -.055 +17355 -.053 .605 -.046 +17356 .082 .738 -.233 +17357 .104 .65 -.183 +17358 .117 .68 -.205 +17359 .11 .711 -.225 +17360 -.045 .646 .015 +17361 .052 .642 -.026 +17362 .031 .651 -.022 +17363 -.087 .503 -.008 +17364 -.108 .529 -.027 +17365 -.085 .585 -.051 +17366 -.034 .665 .019 +17367 -.007 .661 -.007 +17368 -.028 .51 -.04 +17369 -.108 .518 -.014 +17370 .058 .634 -.093 +17371 .082 .673 -.104 +17372 .093 .716 -.13 +17373 .079 .756 -.145 +17374 -.009 .607 -.023 +17375 .029 .633 -.024 +17376 .045 .687 -.05 +17377 .058 .738 -.075 +17378 0 .763 -.052 +17379 -.035 .614 .006 +17380 .011 .635 0 +17381 .041 .667 -.016 +17382 .052 .711 -.043 +17383 .028 .596 -.093 +17384 -.044 .582 -.024 +17385 -.083 .566 .035 +17386 -.034 .573 .009 +17387 .003 .587 -.033 +17388 .016 .617 -.082 +17389 0 .644 -.063 +17390 -.154 .545 .007 +17391 -.118 .566 .026 +17392 -.126 .551 .063 +17393 -.081 .533 .048 +17394 -.042 .533 -.02 +17395 -.058 .53 -.066 +17396 -.144 .601 -.02 +17397 -.153 .576 .051 +17398 -.141 .564 .037 +17399 -.115 .53 .066 +17400 -.111 .521 .039 +17401 -.078 .521 .082 +17402 -.109 .667 -.04 +17403 -.154 .602 -.008 +17404 -.122 .568 .011 +17405 -.124 .52 .073 +17406 -.147 .528 .105 +17407 -.073 .594 .128 +17408 -.094 .704 -.059 +17409 -.062 .609 .089 +17410 -.036 .684 .072 +17411 -.073 .739 .059 +17412 -.053 .747 .018 +17413 -.111 .619 -.048 +17414 -.095 .696 -.062 +17415 -.025 .77 -.107 +17416 -.081 .658 -.041 +17417 -.173 .538 .024 +17418 -.207 .515 .008 +17419 -.175 .542 -.059 +17420 -.152 .601 .014 +17421 -.143 .609 .004 +17422 -.114 .619 -.061 +17423 -.145 .682 -.044 +17424 -.1 .691 -.036 +17425 -.094 .684 -.087 +17426 -.102 .755 -.086 +17427 -.104 .748 -.1 +17428 -.079 .699 -.158 +17429 -.087 .736 -.119 +17430 -.099 .742 -.134 +17431 .065 .648 .045 +17432 -.073 .608 0 +17433 .026 .692 -.024 +17434 .017 .66 -.016 +17435 -.063 .636 .042 +17436 -.025 .651 .023 +17437 -.027 .634 -.015 +17438 .042 .738 .04 +17439 .035 .706 .044 +17440 -.03 .659 .034 +17441 -.006 .688 .063 +17442 -.027 .684 -.08 +17443 .084 .776 .087 +17444 .081 .708 .118 +17445 .012 .686 -.009 +17446 .042 .689 .068 +17447 .067 .668 -.025 +17448 .005 .669 -.136 +17449 .058 .66 .081 +17450 .04 .659 -.038 +17451 .052 .65 .055 +17452 -.062 .635 .025 +17453 -.024 .649 .018 +17454 .029 .648 -.027 +17455 -.09 .598 0 +17456 .014 .645 -.005 +17457 .02 .653 -.038 +17458 -.032 .639 -.041 +17459 -.126 .657 -.145 +17460 -.064 .71 -.15 +17461 -.073 .595 0 +17462 -.128 .53 .01 +17463 -.134 .518 .011 +17464 -.209 .546 -.06 +17465 -.198 .513 0 +17466 .053 .677 -.059 +17467 .065 .633 .016 +17468 .03 .694 -.17 +17469 -.074 .718 -.206 +17470 -.002 .666 0 +17471 -.064 .701 .025 +17472 -.167 .737 -.093 +17473 -.179 .777 -.088 +17474 .007 .643 .021 +17475 -.046 .644 .015 +17476 -.141 .697 -.086 +17477 -.157 .715 -.097 +17478 -.116 .798 -.005 +17479 -.117 .766 -.028 +17480 -.122 .667 .042 +17481 -.136 .707 .029 +17482 .068 .695 .089 +17483 -.146 .644 -.046 +17484 -.093 .643 -.039 +17485 -.076 .664 -.114 +17486 -.098 .682 -.149 +17487 .061 .685 -.035 +17488 .03 .677 .036 +17489 .034 .688 -.169 +17490 -.056 .691 -.195 +17491 -.052 .701 .015 +17492 -.123 .717 -.007 +17493 -.188 .762 -.034 +17494 -.181 .751 -.058 +17495 -.138 .753 -.018 +17496 -.103 .596 .045 +17497 -.133 .668 .023 +17498 .07 .719 .1 +17499 -.125 .577 -.014 +17500 -.091 .573 .01 +17501 -.07 .602 -.09 +17502 -.076 .63 -.149 +17503 .061 .712 -.01 +17504 .014 .716 .059 +17505 .034 .682 -.146 +17506 -.015 .645 -.176 +17507 -.083 .723 .048 +17508 -.163 .755 .02 +17509 -.22 .738 .006 +17510 -.21 .726 -.003 +17511 -.152 .712 .034 +17512 -.082 .865 -.036 +17513 -.147 .913 -.011 +17514 -.002 1.002 .123 +17515 .025 .842 .028 +17516 -.004 .832 -.024 +17517 .024 .881 -.045 +17518 .031 .893 -.079 +17519 .003 .978 .066 +17520 -.037 1.004 .111 +17521 .013 .953 -.034 +17522 .028 .918 -.105 +17523 -.124 1.013 .157 +17524 -.223 1.005 .142 +17525 -.3 .972 .088 +17526 -.266 .973 .058 +17527 -.213 .953 .021 +17528 -.068 .852 -.076 +17529 -.137 .9 -.037 +17530 .041 .948 .116 +17531 .051 .812 .023 +17532 .01 .827 -.048 +17533 .026 .812 -.004 +17534 .076 .826 -.051 +17535 .027 .909 .056 +17536 -.021 .95 .148 +17537 .052 .885 -.011 +17538 .088 .85 -.065 +17539 -.108 .973 .153 +17540 -.2 .973 .124 +17541 -.246 .946 .089 +17542 -.222 .951 .055 +17543 -.19 .934 .022 +17544 -.071 1.076 -.031 +17545 -.144 1.11 -.006 +17546 .07 1.097 .179 +17547 .045 1.006 .055 +17548 -.004 1.056 -.01 +17549 .056 .984 .041 +17550 .05 .985 .008 +17551 .073 1.071 .085 +17552 -.02 1.101 .186 +17553 .082 1.042 .046 +17554 .066 .999 .005 +17555 -.082 1.131 .154 +17556 -.174 1.107 .11 +17557 -.279 1.07 .055 +17558 -.279 1.088 .012 +17559 -.227 1.114 -.019 +17560 -.009 .943 .013 +17561 -.088 .967 .005 +17562 .112 .922 .098 +17563 .039 .819 .09 +17564 .013 .905 .037 +17565 .04 .797 .054 +17566 -.024 .812 .012 +17567 .106 .889 .044 +17568 .056 .939 .127 +17569 .07 .855 .002 +17570 .022 .832 -.024 +17571 -.011 .954 .135 +17572 -.059 .945 .103 +17573 -.219 .893 .065 +17574 -.239 .92 0 +17575 -.169 .961 -.013 +17576 .014 .839 .034 +17577 -.04 .826 .012 +17578 .114 .756 .033 +17579 .056 .692 .082 +17580 .045 .797 .047 +17581 .023 .673 .066 +17582 -.05 .667 .012 +17583 .087 .729 -.014 +17584 .104 .769 .055 +17585 .036 .712 -.058 +17586 -.023 .688 -.041 +17587 .059 .778 .102 +17588 .002 .783 .09 +17589 -.13 .729 .039 +17590 -.134 .754 .004 +17591 -.083 .801 .016 +17592 .019 .799 -.02 +17593 -.033 .789 -.007 +17594 .103 .652 -.038 +17595 .046 .657 .037 +17596 .043 .777 .006 +17597 .011 .624 .038 +17598 -.031 .609 .015 +17599 .074 .636 -.069 +17600 .074 .681 0 +17601 .046 .626 -.06 +17602 .003 .602 -.017 +17603 .043 .711 .051 +17604 -.006 .713 .07 +17605 -.131 .703 .054 +17606 -.125 .742 .003 +17607 -.08 .767 .003 +17608 -.004 .699 -.048 +17609 -.037 .68 -.038 +17610 .01 .562 .011 +17611 .03 .609 -.02 +17612 .022 .696 -.038 +17613 .019 .583 0 +17614 -.004 .566 -.006 +17615 .042 .55 0 +17616 -.012 .572 -.005 +17617 .051 .547 -.026 +17618 .012 .547 -.007 +17619 -.013 .63 .023 +17620 -.049 .648 .047 +17621 -.15 .621 .041 +17622 -.154 .641 -.017 +17623 -.091 .668 -.026 +17624 -.021 .542 -.062 +17625 -.061 .538 -.039 +17626 -.016 .432 .053 +17627 0 .496 -.094 +17628 0 .55 -.074 +17629 .024 .481 -.07 +17630 .036 .459 -.042 +17631 .018 .421 .037 +17632 -.06 .451 .038 +17633 .04 .427 -.005 +17634 .027 .442 .002 +17635 -.081 .501 .035 +17636 -.113 .534 .044 +17637 -.183 .526 .032 +17638 -.156 .525 -.019 +17639 -.096 .537 -.014 +17640 -.064 .563 .017 +17641 -.103 .558 .031 +17642 -.118 .451 .116 +17643 -.143 .487 -.087 +17644 -.088 .556 .007 +17645 -.086 .469 -.103 +17646 -.025 .449 -.057 +17647 -.078 .437 .085 +17648 -.174 .471 .106 +17649 -.035 .432 .071 +17650 -.009 .448 .032 +17651 -.222 .507 .095 +17652 -.263 .536 .103 +17653 -.269 .552 .057 +17654 -.203 .545 .005 +17655 -.139 .547 .046 +17656 -.103 .344 .063 +17657 -.106 .347 .081 +17658 -.15 .265 .11 +17659 -.203 .249 -.047 +17660 -.137 .326 .092 +17661 -.117 .227 -.089 +17662 -.046 .222 -.059 +17663 -.111 .246 .085 +17664 -.213 .277 .114 +17665 -.075 .236 .085 +17666 -.031 .232 .015 +17667 -.264 .299 .103 +17668 -.311 .321 .117 +17669 -.289 .354 .02 +17670 -.211 .339 .001 +17671 -.135 .343 .048 +17672 -.125 .142 .128 +17673 -.118 .159 .14 +17674 -.173 .087 .117 +17675 -.2 .012 .002 +17676 -.135 .105 .089 +17677 -.149 -.004 -.035 +17678 -.11 .002 -.023 +17679 -.132 .074 .104 +17680 -.224 .099 .114 +17681 -.105 .055 .091 +17682 -.094 .021 .029 +17683 -.264 .115 .105 +17684 -.297 .138 .12 +17685 -.296 .173 .027 +17686 -.226 .155 .055 +17687 -.147 .152 .091 +17688 -.134 -.063 .13 +17689 -.15 -.048 .102 +17690 -.19 -.062 .13 +17691 -.178 -.144 .066 +17692 -.145 -.098 .114 +17693 -.172 -.144 .031 +17694 -.141 -.132 .028 +17695 -.156 -.065 .126 +17696 -.222 -.056 .128 +17697 -.141 -.077 .115 +17698 -.124 -.105 .078 +17699 -.252 -.045 .114 +17700 -.259 -.023 .083 +17701 -.246 -.011 .065 +17702 -.201 -.029 .071 +17703 -.179 -.041 .102 +17704 -.186 -.128 .087 +17705 -.194 -.126 .067 +17706 -.227 -.09 .147 +17707 -.185 -.133 .107 +17708 -.209 -.118 .101 +17709 -.187 -.121 .081 +17710 -.166 -.111 .09 +17711 -.199 -.086 .143 +17712 -.237 -.091 .144 +17713 -.188 -.11 .135 +17714 -.146 -.103 .103 +17715 -.247 -.095 .13 +17716 -.243 -.091 .096 +17717 -.206 -.088 .076 +17718 -.196 -.107 .061 +17719 -.195 -.114 .082 +17720 -.207 -.068 .019 +17721 -.221 -.061 .02 +17722 -.18 -.074 .125 +17723 -.24 -.037 .144 +17724 -.236 -.039 .127 +17725 -.205 -.056 .084 +17726 -.198 -.055 .066 +17727 -.218 -.053 .051 +17728 -.101 .632 -.094 +17729 -.15 .715 -.049 +17730 -.132 .664 -.05 +17731 -.171 .738 -.036 +17732 -.231 .747 .003 +17733 -.282 .977 .122 +17734 -.257 .951 .104 +17735 -.266 1.072 .061 +17736 -.154 .902 .089 +17737 -.081 .744 .087 +17738 -.109 .709 .05 +17739 -.121 .641 .055 +17740 -.16 .535 .064 +17741 -.284 .554 .082 +17742 -.324 .347 .073 +17743 -.319 .165 .086 +17744 -.252 -.009 .074 +17745 -.222 -.082 .088 +17746 -.042 .992 .106 +17747 -.118 .998 .132 +17748 -.24 .993 .099 +17749 -.304 .972 .082 +17750 -.314 .973 .066 +17751 -.277 .974 .049 +17752 -.208 .962 .041 +17753 -.147 .905 .011 +17754 -.076 .843 .003 +17755 -.032 .803 0 +17756 -.029 .833 -.009 +17757 .006 .889 -.082 +17758 -.02 .904 -.117 +17759 -.012 .933 -.138 +17760 .013 .975 -.091 +17761 .006 .987 .041 +17762 .002 .998 .12 +17763 0 .819 -.24 +17764 .047 .759 -.078 +17765 0 .871 .003 +17766 .085 .93 -.037 +17767 .063 .963 -.071 +17768 .06 .961 .123 +17769 .046 .987 .078 +17770 .031 .973 .035 +17771 .037 .945 -.043 +17772 .251 .469 -.261 +17773 .129 .714 -.486 +17774 .076 .738 -.439 +17775 .102 .738 -.48 +17776 .223 .582 -.43 +17777 .177 .491 -.097 +17778 0 .785 -.224 +17779 .226 .749 -.04 +17780 .225 .756 -.03 +17781 .18 .84 -.061 +17782 .154 .842 -.099 +17783 .172 .657 -.461 +17784 .183 .498 -.063 +17785 .207 .467 -.094 +17786 .149 .673 -.059 +17787 .188 .754 -.041 +17788 .185 .765 -.074 +17789 .174 .564 -.059 +17790 .195 .676 -.034 +17791 .153 .517 -.105 +17792 .242 .466 -.18 +17793 .217 .594 -.432 +17794 .162 .682 -.475 +17795 .123 .752 -.467 +17796 .123 .795 -.084 +17797 .174 .542 -.065 +17798 .215 .47 -.17 +17799 .214 .709 -.011 +17800 .202 .722 -.038 +17801 .239 .711 .009 +17802 .244 .717 -.007 +17803 0 .737 -.173 +17804 0 .83 -.257 +17805 .211 .803 -.079 +17806 .209 .816 -.058 +17807 .198 .834 -.126 +17808 .149 .779 -.09 +17809 .065 .752 -.015 +17810 .073 .689 .03 +17811 .095 .6 .095 +17812 .083 .624 .08 +17813 .148 .646 .015 +17814 .06 .837 -.178 +17815 .128 .622 .051 +17816 .03 .777 -.045 +17817 .044 .724 -.162 +17818 .047 .762 -.171 +17819 .045 .813 -.188 +17820 .049 .786 -.179 +17821 .038 .673 -.097 +17822 .126 .85 -.177 +17823 .18 .762 -.104 +17824 .064 .87 -.051 +17825 .188 .729 -.062 +17826 .166 .831 -.149 +17827 .055 .893 -.009 +17828 .046 .84 -.104 +17829 .051 .812 -.155 +17830 .06 .792 -.208 +17831 .059 .788 -.25 +17832 .054 .796 -.28 +17833 .05 .799 -.301 +17834 .052 .771 -.331 +17835 .051 .759 -.347 +17836 .052 .747 -.365 +17837 .055 .73 -.381 +17838 .057 .71 -.391 +17839 .058 .689 -.386 +17840 .056 .686 -.362 +17841 .05 .72 -.302 +17842 .052 .761 -.221 +17843 .05 .785 -.137 +17844 .049 .758 -.078 +17845 .048 .729 -.066 +17846 .016 .65 -.086 +17847 -.024 .537 -.085 +17848 -.055 .549 .044 +17849 -.032 .674 -.028 +17850 -.018 .761 -.108 +17851 -.018 .786 -.134 +17852 -.043 .769 -.146 +17853 -.091 .708 -.129 +17854 -.072 .686 -.097 +17855 -.018 .68 -.057 +17856 .005 .694 -.038 +17857 .022 .707 0 +17858 .043 .799 .099 +17859 .02 .779 .061 +17860 .02 .725 -.008 +17861 .022 .66 -.047 +17862 .032 .639 -.052 +17863 .19 .477 -.025 +17864 .201 .452 -.015 +17865 .219 .487 -.082 +17866 .224 .61 -.398 +17867 .179 .701 -.46 +17868 .14 .765 -.464 +17869 .112 .801 -.414 +17870 .081 .806 -.364 +17871 0 .78 -.281 +17872 0 .725 -.137 +17873 .243 .657 .037 +17874 .242 .652 .054 +17875 .215 .665 .003 +17876 .23 .662 .018 +17877 .196 .542 -.038 +17878 .245 .61 -.002 +17879 .278 .503 -.271 +17880 .168 .692 -.034 +17881 .051 .787 -.315 +17882 0 .877 .021 +17883 .075 .912 .012 +17884 .069 .941 0 +17885 .045 .97 .024 +17886 .051 .948 .008 +17887 .055 .888 .018 +17888 0 .984 .054 +17889 .038 .996 .066 +17890 .019 .992 .06 +17891 .032 1.013 .038 +17892 .017 .999 .048 +17893 .042 .996 .047 +17894 0 1.139 .046 +17895 0 1.119 .084 +17896 -.015 1.092 .064 +17897 .02 1.097 .033 +17898 -.006 1.09 .043 +17899 .028 1.137 .058 +17900 0 1.214 .036 +17901 -.016 1.181 .04 +17902 -.042 1.144 .024 +17903 .008 1.126 .002 +17904 -.04 1.13 .017 +17905 .031 1.211 .031 +17906 0 1.328 -.019 +17907 -.027 1.275 .036 +17908 -.085 1.237 .034 +17909 -.045 1.18 -.013 +17910 -.11 1.206 -.011 +17911 .03 1.31 .026 +17912 0 .768 .041 +17913 .055 .808 -.007 +17914 .1 .889 .065 +17915 .098 .837 .013 +17916 .032 .768 -.006 +17917 0 .807 .132 +17918 .082 .87 .062 +17919 .117 .969 .076 +17920 .106 .927 .077 +17921 .052 .821 .097 +17922 0 .843 .189 +17923 .075 .925 .112 +17924 .126 1.045 .076 +17925 .106 .99 .094 +17926 .051 .865 .172 +17927 0 .84 .209 +17928 .055 .923 .151 +17929 .114 1.052 .096 +17930 .088 .985 .114 +17931 .041 .858 .211 +17932 0 .833 .189 +17933 .014 .932 .17 +17934 .085 1.056 .128 +17935 .055 .988 .131 +17936 .006 .854 .197 +17937 .111 .946 .08 +17938 .1 .994 .077 +17939 .073 .997 .043 +17940 .131 1.02 .069 +17941 .143 1.059 .053 +17942 .077 1.043 .034 +17943 .133 1.092 .081 +17944 .122 1.116 .063 +17945 .068 1.108 .04 +17946 .122 1.084 .116 +17947 .111 1.124 .066 +17948 .074 1.127 .035 +17949 .101 1.087 .138 +17950 .092 1.124 .082 +17951 .035 1.161 .026 +17952 0 .744 -.341 +17953 0 .689 -.377 +17954 0 .69 -.359 +17955 0 .73 -.3 +17956 0 .773 -.204 +17957 0 .803 -.108 +17958 0 .755 -.042 +17959 0 .549 -.003 +17960 0 .572 .077 +17961 0 .734 -.125 +17962 0 .769 -.186 +17963 0 .774 -.17 +17964 0 .745 -.012 +17965 0 .804 .059 +17966 0 .833 .106 +17967 0 .724 .012 +17968 0 .666 -.04 +17969 0 .707 -.05 +17970 0 .684 -.071 +17971 0 .697 -.131 +17972 0 .772 -.157 +17973 0 .678 -.101 +17974 0 .755 -.321 +17975 0 .727 -.358 +17976 -.225 -.02 .252 +17977 -.275 -.018 .244 +17978 -.247 -.014 .258 +17979 -.294 -.035 .193 +17980 -.221 -.06 .275 +17981 -.182 -.151 .144 +17982 -.257 -.038 .209 +17983 -.266 -.062 .182 +17984 -.213 -.057 .306 +17985 -.273 -.042 .279 +17986 -.216 -.002 .28 +17987 -.241 -.064 .238 +17988 -.268 .019 .245 +17989 -.264 .034 .246 +17990 -.293 -.065 .265 +17991 -.281 -.104 .277 +17992 -.209 -.131 .207 +17993 -.264 -.082 .155 +17994 -.297 -.019 .238 +17995 -.203 -.007 .27 +17996 -.212 -.039 .304 +17997 -.199 -.017 .297 +17998 -.267 .015 .295 +17999 -.224 -.065 .277 +18000 -.208 -.045 .244 +18001 -.233 .021 .267 +18002 .14 .537 .025 +18003 .095 .517 .01 +18004 0 .639 -.024 +18005 .06 .658 .04 +18006 .035 .63 -.042 +18007 .061 .636 -.001 +18008 .085 .488 -.018 +18009 .109 .548 -.011 +18010 .093 .625 .009 +18011 .023 .674 .031 +18012 .043 .652 .021 +18013 .064 .498 -.019 +18014 .004 .608 -.018 +18015 .003 .669 -.071 +18016 -.021 .726 -.112 +18017 -.005 .773 -.121 +18018 0 .794 -.113 +18019 .043 .6 .035 +18020 .035 .636 .017 +18021 .004 .668 0 +18022 .02 .705 -.014 +18023 .048 .575 -.018 +18024 .041 .643 .099 +18025 .062 .641 .113 +18026 .05 .637 .056 +18027 .072 .614 .075 +18028 .076 .631 .093 +18029 .086 .573 .031 +18030 .12 .515 -.006 +18031 .121 .514 -.009 +18032 .154 .573 .005 +18033 .169 .525 -.018 +18034 .026 .781 -.117 +18035 .029 .727 -.017 +18036 .061 .642 .046 +18037 .049 .629 -.047 +18038 -.14 .537 .025 +18039 -.095 .517 .01 +18040 -.06 .658 .04 +18041 -.035 .63 -.042 +18042 -.061 .636 -.001 +18043 -.085 .488 -.018 +18044 -.109 .548 -.011 +18045 -.093 .625 .009 +18046 -.023 .674 .031 +18047 -.043 .652 .021 +18048 -.064 .498 -.019 +18049 -.004 .608 -.018 +18050 -.003 .669 -.071 +18051 .021 .726 -.112 +18052 .005 .773 -.121 +18053 -.043 .6 .035 +18054 -.035 .636 .017 +18055 -.004 .668 0 +18056 -.02 .705 -.014 +18057 0 .748 .004 +18058 -.048 .575 -.018 +18059 -.041 .643 .099 +18060 -.062 .641 .113 +18061 -.05 .637 .056 +18062 0 .636 .039 +18063 -.072 .614 .075 +18064 -.076 .631 .093 +18065 -.086 .573 .031 +18066 -.12 .515 -.006 +18067 -.121 .514 -.009 +18068 -.154 .573 .005 +18069 -.169 .525 -.018 +18070 -.026 .781 -.117 +18071 -.029 .727 -.017 +18072 -.061 .642 .046 +18073 -.049 .629 -.047 +18074 .176 .508 .005 +18075 .105 .463 .069 +18076 .108 .445 .066 +18077 .062 .466 0 +18078 .056 .479 -.05 +18079 .049 .712 .062 +18080 .064 .756 .05 +18081 .052 .806 .025 +18082 .072 .653 .028 +18083 .075 .791 .037 +18084 .166 .474 .069 +18085 .151 .529 -.02 +18086 .16 .537 .003 +18087 .13 .581 .006 +18088 .16 .541 -.015 +18089 .06 .481 -.057 +18090 .06 .813 .016 +18091 -.176 .508 .005 +18092 -.105 .463 .069 +18093 -.108 .445 .066 +18094 -.062 .466 0 +18095 -.056 .479 -.05 +18096 0 .486 -.04 +18097 -.049 .712 .062 +18098 -.064 .756 .05 +18099 -.052 .806 .025 +18100 0 .808 -.007 +18101 -.072 .653 .028 +18102 -.075 .791 .037 +18103 -.166 .474 .069 +18104 -.151 .529 -.02 +18105 -.16 .537 .003 +18106 -.13 .581 .006 +18107 -.16 .541 -.015 +18108 -.06 .481 -.057 +18109 -.06 .813 .016 +18110 .217 .496 -.009 +18111 .18 .437 .098 +18112 .186 .443 .094 +18113 .126 .46 .077 +18114 .097 .472 .05 +18115 .033 .737 -.032 +18116 .035 .778 -.015 +18117 .048 .828 -.007 +18118 .065 .683 -.026 +18119 .062 .809 0 +18120 .205 .485 .05 +18121 .193 .522 -.032 +18122 .173 .54 0 +18123 .127 .625 -.018 +18124 .112 .582 .015 +18125 .08 .491 .007 +18126 .062 .836 -.014 +18127 -.217 .496 -.009 +18128 -.18 .437 .098 +18129 -.186 .443 .094 +18130 -.126 .46 .077 +18131 -.097 .472 .05 +18132 0 .498 .007 +18133 -.033 .737 -.032 +18134 -.035 .778 -.015 +18135 -.048 .828 -.007 +18136 0 .842 -.025 +18137 -.065 .683 -.026 +18138 -.062 .809 0 +18139 -.205 .485 .05 +18140 -.193 .522 -.032 +18141 -.173 .54 0 +18142 -.127 .625 -.018 +18143 -.112 .582 .015 +18144 -.08 .491 .007 +18145 -.062 .836 -.014 +18146 .205 .531 -.036 +18147 .193 .519 .074 +18148 .216 .52 .117 +18149 .167 .519 .124 +18150 .129 .527 .103 +18151 -.01 .756 -.097 +18152 -.003 .796 -.063 +18153 .037 .842 -.029 +18154 .042 .699 -.11 +18155 .037 .825 -.03 +18156 .194 .519 .021 +18157 .189 .551 -.038 +18158 .122 .555 -.034 +18159 .184 .634 -.115 +18160 .107 .594 -.026 +18161 .097 .523 .079 +18162 .062 .851 -.038 +18163 -.205 .531 -.036 +18164 -.193 .519 .074 +18165 -.216 .52 .117 +18166 -.167 .519 .124 +18167 -.129 .527 .103 +18168 0 .524 .068 +18169 .01 .756 -.097 +18170 .003 .796 -.063 +18171 -.037 .842 -.029 +18172 0 .852 -.051 +18173 -.042 .699 -.11 +18174 -.037 .825 -.03 +18175 -.194 .519 .021 +18176 -.189 .551 -.038 +18177 -.122 .555 -.034 +18178 -.184 .634 -.115 +18179 -.107 .594 -.026 +18180 -.097 .523 .079 +18181 -.062 .851 -.038 +18182 .173 .557 -.029 +18183 .1 .559 .025 +18184 .133 .563 .009 +18185 .111 .563 .024 +18186 .095 .562 .047 +18187 -.064 .778 -.138 +18188 -.057 .82 -.089 +18189 .007 .867 -.088 +18190 .012 .711 -.193 +18191 -.006 .849 -.077 +18192 .145 .55 .014 +18193 .114 .555 -.064 +18194 .086 .51 -.03 +18195 .163 .613 -.173 +18196 .137 .534 -.094 +18197 .081 .563 .046 +18198 .053 .876 -.111 +18199 -.173 .557 -.029 +18200 -.1 .559 .025 +18201 -.133 .563 .009 +18202 -.111 .563 .024 +18203 -.095 .562 .047 +18204 0 .565 .04 +18205 .064 .778 -.138 +18206 .057 .82 -.089 +18207 -.007 .867 -.088 +18208 0 .876 -.118 +18209 -.012 .711 -.193 +18210 .006 .849 -.077 +18211 -.145 .55 .014 +18212 -.114 .555 -.064 +18213 -.086 .51 -.03 +18214 -.163 .613 -.173 +18215 -.137 .534 -.094 +18216 -.081 .563 .046 +18217 -.053 .876 -.111 +18218 .066 .574 .02 +18219 -.011 .597 .036 +18220 .039 .604 0 +18221 .032 .607 .003 +18222 .037 .609 .015 +18223 -.112 .818 -.117 +18224 -.104 .862 -.068 +18225 -.028 .91 -.087 +18226 -.034 .744 -.198 +18227 -.05 .892 -.067 +18228 .023 .584 .054 +18229 .088 .537 .007 +18230 .131 .474 -.004 +18231 .157 .618 -.178 +18232 .157 .534 -.097 +18233 .056 .613 .009 +18234 .039 .92 -.124 +18235 -.066 .574 .02 +18236 .011 .597 .036 +18237 -.039 .604 0 +18238 -.032 .607 .003 +18239 -.037 .609 .015 +18240 0 .616 .004 +18241 .112 .818 -.117 +18242 .104 .862 -.068 +18243 .028 .91 -.087 +18244 0 .92 -.142 +18245 .034 .744 -.198 +18246 .05 .892 -.067 +18247 -.023 .584 .054 +18248 -.088 .537 .007 +18249 -.131 .474 -.004 +18250 -.157 .618 -.178 +18251 -.157 .534 -.097 +18252 -.056 .613 .009 +18253 -.039 .92 -.124 +18254 .008 .63 .097 +18255 -.123 .682 .047 +18256 -.059 .687 .012 +18257 -.052 .688 .02 +18258 -.023 .691 .031 +18259 -.148 .897 -.075 +18260 -.151 .944 -.023 +18261 -.075 .99 -.022 +18262 -.07 .821 -.162 +18263 -.102 .973 .001 +18264 -.074 .661 .102 +18265 .053 .59 .054 +18266 .071 .571 .003 +18267 .155 .69 -.169 +18268 .129 .604 -.055 +18269 .03 .695 .032 +18270 .017 .999 -.071 +18271 -.008 .63 .097 +18272 .123 .682 .047 +18273 .059 .687 .012 +18274 .052 .688 .02 +18275 .023 .691 .031 +18276 0 .698 .025 +18277 .148 .897 -.075 +18278 .151 .944 -.023 +18279 .075 .99 -.022 +18280 0 1 -.084 +18281 .07 .821 -.162 +18282 .102 .973 .001 +18283 .074 .661 .102 +18284 -.053 .59 .054 +18285 -.071 .571 .003 +18286 -.155 .69 -.169 +18287 -.129 .604 -.055 +18288 -.03 .695 .032 +18289 -.017 .999 -.071 +18290 -.087 .7 .082 +18291 -.217 .744 .065 +18292 -.147 .747 .063 +18293 -.134 .747 .082 +18294 -.085 .75 .084 +18295 -.198 .957 -.001 +18296 -.214 1.01 .034 +18297 -.126 1.055 .066 +18298 -.095 .876 -.095 +18299 -.164 1.038 .058 +18300 -.171 .73 .092 +18301 -.018 .66 .051 +18302 .038 .635 0 +18303 .147 .75 -.131 +18304 .082 .668 -.038 +18305 .003 .756 .067 +18306 -.004 1.063 .065 +18307 .087 .7 .082 +18308 .217 .744 .065 +18309 .147 .747 .063 +18310 .134 .747 .082 +18311 .085 .75 .084 +18312 0 .759 .051 +18313 .198 .957 -.001 +18314 .214 1.01 .034 +18315 .126 1.055 .066 +18316 0 1.064 .064 +18317 .095 .876 -.095 +18318 .164 1.038 .058 +18319 .171 .73 .092 +18320 .018 .66 .051 +18321 -.038 .635 0 +18322 -.147 .75 -.131 +18323 -.082 .668 -.038 +18324 -.003 .756 .067 +18325 .004 1.063 .065 +18326 -.161 .733 .043 +18327 -.332 .795 .041 +18328 -.251 .796 .07 +18329 -.22 .794 .089 +18330 -.145 .797 .092 +18331 -.238 .992 .014 +18332 -.277 1.052 .061 +18333 -.178 1.103 .107 +18334 -.117 .903 -.049 +18335 -.229 1.084 .096 +18336 -.266 .776 .032 +18337 -.036 .682 .04 +18338 .041 .661 .005 +18339 .09 .77 -.084 +18340 .05 .694 -.026 +18341 -.022 .802 .084 +18342 -.025 1.112 .113 +18343 .161 .733 .043 +18344 .332 .795 .041 +18345 .251 .796 .07 +18346 .22 .794 .089 +18347 .145 .797 .092 +18348 0 .805 .077 +18349 .238 .992 .014 +18350 .277 1.052 .061 +18351 .178 1.103 .107 +18352 0 1.114 .123 +18353 .117 .903 -.049 +18354 .229 1.084 .096 +18355 .266 .776 .032 +18356 .036 .682 .04 +18357 -.041 .661 .005 +18358 -.09 .77 -.084 +18359 -.05 .694 -.026 +18360 .022 .802 .084 +18361 .025 1.112 .113 +18362 -.2 .777 .035 +18363 -.419 .822 0 +18364 -.337 .821 .057 +18365 -.299 .818 .085 +18366 -.205 .821 .09 +18367 -.281 1.012 .028 +18368 -.338 1.074 .072 +18369 -.228 1.127 .12 +18370 -.128 .92 -.023 +18371 -.294 1.108 .109 +18372 -.33 .811 -.003 +18373 -.031 .719 .036 +18374 .077 .686 -.01 +18375 .045 .799 -.047 +18376 .087 .717 -.044 +18377 -.049 .825 .084 +18378 -.046 1.136 .125 +18379 .2 .777 .035 +18380 .419 .822 0 +18381 .337 .821 .057 +18382 .299 .818 .085 +18383 .205 .821 .09 +18384 0 .828 .082 +18385 .281 1.012 .028 +18386 .338 1.074 .072 +18387 .228 1.127 .12 +18388 0 1.14 .125 +18389 .128 .92 -.023 +18390 .294 1.108 .109 +18391 .33 .811 -.003 +18392 .031 .719 .036 +18393 -.077 .686 -.01 +18394 -.045 .799 -.047 +18395 -.087 .717 -.044 +18396 .049 .825 .084 +18397 .046 1.136 .125 +18398 -.216 .749 .054 +18399 -.456 .786 .026 +18400 -.402 .785 .068 +18401 -.37 .783 .094 +18402 -.263 .785 .101 +18403 -.329 .99 .014 +18404 -.415 1.051 .067 +18405 -.303 1.095 .129 +18406 -.126 .891 -.045 +18407 -.383 1.082 .114 +18408 -.342 .776 .033 +18409 -.057 .7 .032 +18410 .068 .667 -.025 +18411 .073 .768 -.056 +18412 .111 .694 -.066 +18413 -.076 .789 .097 +18414 -.078 1.102 .134 +18415 .216 .749 .054 +18416 .456 .786 .026 +18417 .402 .785 .068 +18418 .37 .783 .094 +18419 .263 .785 .101 +18420 0 .791 .096 +18421 .329 .99 .014 +18422 .415 1.051 .067 +18423 .303 1.095 .129 +18424 0 1.104 .134 +18425 .126 .891 -.045 +18426 .383 1.082 .114 +18427 .342 .776 .033 +18428 .057 .7 .032 +18429 -.068 .667 -.025 +18430 -.073 .768 -.056 +18431 -.111 .694 -.066 +18432 .076 .789 .097 +18433 .078 1.102 .134 +18434 -.288 .605 .093 +18435 -.56 .657 .065 +18436 -.488 .659 .096 +18437 -.447 .658 .119 +18438 -.322 .659 .129 +18439 -.363 .863 .001 +18440 -.462 .922 .068 +18441 -.354 .964 .138 +18442 -.143 .762 -.054 +18443 -.439 .951 .122 +18444 -.442 .641 .064 +18445 -.099 .555 .072 +18446 .049 .534 .026 +18447 .086 .636 -.043 +18448 .132 .561 -.017 +18449 -.102 .663 .131 +18450 -.103 .971 .15 +18451 .288 .605 .093 +18452 .56 .657 .065 +18453 .488 .659 .096 +18454 .447 .658 .119 +18455 .322 .659 .129 +18456 0 .665 .129 +18457 .363 .863 .001 +18458 .462 .922 .068 +18459 .354 .964 .138 +18460 0 .973 .158 +18461 .143 .762 -.054 +18462 .439 .951 .122 +18463 .442 .641 .064 +18464 .099 .555 .072 +18465 -.049 .534 .026 +18466 -.086 .636 -.043 +18467 -.132 .561 -.017 +18468 .102 .663 .131 +18469 .103 .971 .15 +18470 -.284 .484 .068 +18471 -.641 .559 .011 +18472 -.579 .563 .079 +18473 -.537 .563 .114 +18474 -.392 .565 .137 +18475 -.457 .761 -.009 +18476 -.563 .822 .04 +18477 -.43 .863 .099 +18478 -.242 .66 -.022 +18479 -.532 .851 .081 +18480 -.49 .534 .009 +18481 -.118 .43 .005 +18482 -.025 .418 -.019 +18483 -.025 .531 -.024 +18484 .017 .452 -.023 +18485 -.133 .569 .157 +18486 -.137 .87 .127 +18487 .284 .484 .068 +18488 .641 .559 .011 +18489 .579 .563 .079 +18490 .537 .563 .114 +18491 .392 .565 .137 +18492 0 .571 .16 +18493 .457 .761 -.009 +18494 .563 .822 .04 +18495 .43 .863 .099 +18496 0 .872 .149 +18497 .242 .66 -.022 +18498 .532 .851 .081 +18499 .49 .534 .009 +18500 .118 .43 .005 +18501 .025 .418 -.019 +18502 .025 .531 -.024 +18503 -.017 .452 -.023 +18504 .133 .569 .157 +18505 .137 .87 .127 +18506 -.216 .379 .123 +18507 -.687 .471 .038 +18508 -.669 .478 .071 +18509 -.632 .477 .097 +18510 -.478 .479 .104 +18511 -.549 .673 .013 +18512 -.658 .733 .037 +18513 -.505 .774 .071 +18514 -.316 .567 .014 +18515 -.622 .762 .064 +18516 -.476 .44 .07 +18517 -.044 .318 .018 +18518 -.022 .3 -.064 +18519 -.096 .435 -.007 +18520 -.037 .343 -.051 +18521 -.18 .483 .103 +18522 -.171 .781 .076 +18523 .216 .379 .123 +18524 .687 .471 .038 +18525 .669 .478 .071 +18526 .632 .477 .097 +18527 .478 .479 .104 +18528 0 .485 .099 +18529 .549 .673 .013 +18530 .658 .733 .037 +18531 .505 .774 .071 +18532 0 .783 .082 +18533 .316 .567 .014 +18534 .622 .762 .064 +18535 .476 .44 .07 +18536 .044 .318 .018 +18537 .022 .3 -.064 +18538 .096 .435 -.007 +18539 .037 .343 -.051 +18540 .18 .483 .103 +18541 .171 .781 .076 +18542 -.205 .23 .236 +18543 -.711 .311 .178 +18544 -.725 .317 .145 +18545 -.707 .317 .124 +18546 -.552 .32 .103 +18547 -.614 .525 .03 +18548 -.726 .586 .046 +18549 -.57 .627 .071 +18550 -.385 .421 .035 +18551 -.693 .615 .067 +18552 -.479 .285 .226 +18553 .057 .158 .091 +18554 .04 .127 -.026 +18555 -.155 .287 0 +18556 -.051 .186 -.017 +18557 -.22 .324 .089 +18558 -.201 .634 .069 +18559 .205 .23 .236 +18560 .711 .311 .178 +18561 .725 .317 .145 +18562 .707 .317 .124 +18563 .552 .32 .103 +18564 0 .327 .084 +18565 .614 .525 .03 +18566 .726 .586 .046 +18567 .57 .627 .071 +18568 0 .636 .066 +18569 .385 .421 .035 +18570 .693 .615 .067 +18571 .479 .285 .226 +18572 -.057 .158 .091 +18573 -.04 .127 -.026 +18574 .155 .287 0 +18575 .051 .186 -.017 +18576 .22 .324 .089 +18577 .201 .634 .069 +18578 -.299 .075 .265 +18579 -.878 .129 .141 +18580 -.869 .12 .111 +18581 -.819 .113 .107 +18582 -.633 .114 .098 +18583 -.646 .349 .048 +18584 -.769 .397 .063 +18585 -.622 .433 .082 +18586 -.389 .265 .047 +18587 -.741 .422 .081 +18588 -.641 .122 .197 +18589 -.019 .011 .136 +18590 .003 -.01 .009 +18591 -.15 .138 .025 +18592 -.042 .037 .008 +18593 -.259 .119 .087 +18594 -.227 .44 .078 +18595 .299 .075 .265 +18596 .878 .129 .141 +18597 .869 .12 .111 +18598 .819 .113 .107 +18599 .633 .114 .098 +18600 0 .122 .082 +18601 .646 .349 .048 +18602 .769 .397 .063 +18603 .622 .433 .082 +18604 0 .442 .075 +18605 .389 .265 .047 +18606 .741 .422 .081 +18607 .641 .122 .197 +18608 .019 .011 .136 +18609 -.003 -.01 .009 +18610 .15 .138 .025 +18611 .042 .037 .008 +18612 .259 .119 .087 +18613 .227 .44 .078 +18614 -.408 -.05 .22 +18615 -1.002 0 .136 +18616 -.965 -.015 .133 +18617 -.894 -.026 .123 +18618 -.691 -.027 .104 +18619 -.687 .198 .085 +18620 -.797 .241 .085 +18621 -.652 .275 .096 +18622 -.419 .112 .112 +18623 -.764 .265 .095 +18624 -.761 -.003 .156 +18625 -.082 -.116 .142 +18626 .021 -.148 .058 +18627 -.158 -.004 .109 +18628 -.005 -.104 .076 +18629 -.289 -.02 .088 +18630 -.243 .281 .091 +18631 .408 -.05 .22 +18632 1.002 0 .136 +18633 .965 -.015 .133 +18634 .894 -.026 .123 +18635 .691 -.027 .104 +18636 0 -.015 .082 +18637 .687 .198 .085 +18638 .797 .241 .085 +18639 .652 .275 .096 +18640 0 .283 .088 +18641 .419 .112 .112 +18642 .764 .265 .095 +18643 .761 -.003 .156 +18644 .082 -.116 .142 +18645 -.021 -.148 .058 +18646 .158 -.004 .109 +18647 .005 -.104 .076 +18648 .289 -.02 .088 +18649 .243 .281 .091 +18650 -.504 -.052 .166 +18651 -1.093 .013 .14 +18652 -1.026 .007 .154 +18653 -.933 0 .142 +18654 -.721 0 .113 +18655 -.671 .117 .095 +18656 -.788 .166 .091 +18657 -.662 .217 .1 +18658 -.395 .008 .141 +18659 -.776 .205 .1 +18660 -.848 .002 .137 +18661 -.116 -.144 .163 +18662 0 -.194 .117 +18663 -.153 -.086 .141 +18664 -.022 -.168 .129 +18665 -.302 .006 .092 +18666 -.248 .22 .096 +18667 .504 -.052 .166 +18668 1.093 .013 .14 +18669 1.026 .007 .154 +18670 .933 0 .142 +18671 .721 0 .113 +18672 0 .012 .084 +18673 .671 .117 .095 +18674 .788 .166 .091 +18675 .662 .217 .1 +18676 0 .221 .093 +18677 .395 .008 .141 +18678 .776 .205 .1 +18679 .848 .002 .137 +18680 .116 -.144 .163 +18681 0 -.194 .117 +18682 .153 -.086 .141 +18683 .022 -.168 .129 +18684 .302 .006 .092 +18685 .248 .22 .096 +18686 -.564 .108 .173 +18687 -1.21 .189 .198 +18688 -1.089 .189 .182 +18689 -.943 .188 .15 +18690 -.697 .185 .095 +18691 -.607 .174 .061 +18692 -.74 .22 .073 +18693 -.667 .326 .077 +18694 -.344 .088 .114 +18695 -.764 .308 .084 +18696 -.931 .17 .178 +18697 -.172 .007 .192 +18698 .038 -.084 .15 +18699 -.067 -.02 .137 +18700 .027 -.073 .163 +18701 -.269 .188 .062 +18702 -.24 .322 .066 +18703 .564 .108 .173 +18704 1.21 .189 .198 +18705 1.089 .189 .182 +18706 .943 .188 .15 +18707 .697 .185 .095 +18708 0 .183 .051 +18709 .607 .174 .061 +18710 .74 .22 .073 +18711 .667 .326 .077 +18712 0 .32 .063 +18713 .344 .088 .114 +18714 .764 .308 .084 +18715 .931 .17 .178 +18716 .172 .007 .192 +18717 -.038 -.084 .15 +18718 .067 -.02 .137 +18719 -.027 -.073 .163 +18720 .269 .188 .062 +18721 .24 .322 .066 +18722 0 .862 .068 +18723 0 .861 .046 +18724 0 .862 .067 +18725 0 .862 .046 +18726 0 .862 .08 +18727 0 .862 .077 +18728 0 .862 .059 +18729 0 .865 .079 +18730 0 .859 .057 +18731 0 .862 .097 +18732 0 .853 .04 +18733 0 .859 .097 +18734 0 .871 .106 +18735 0 .872 .112 +18736 0 .872 .146 +18737 0 .872 .127 +18738 0 .872 .139 +18739 0 .872 .122 +18740 0 .862 .067 +18741 0 .865 .061 +18742 0 .867 .081 +18743 0 .871 .092 +18744 0 .863 .078 +18745 0 .869 .095 +18746 0 .865 .083 +18747 0 .87 .104 +18748 0 .862 .104 +18749 0 .871 .103 +18750 0 .859 .095 +18751 0 .871 .107 +18752 0 .872 .112 +18753 0 .872 .111 +18754 0 .872 .129 +18755 0 .872 .111 +18756 0 .872 .124 +18757 0 .872 .116 +18758 0 .872 .087 +18759 0 .872 .083 +18760 0 .872 .06 +18761 0 .872 .065 +18762 0 .872 .088 +18763 0 .872 .049 +18764 0 .872 .084 +18765 0 .872 .043 +18766 0 .871 .074 +18767 0 .871 .035 +18768 0 .869 .049 +18769 0 .869 .008 +18770 0 .866 .012 +18771 0 .866 -.03 +18772 0 .863 -.02 +18773 0 .863 -.058 +18774 0 .859 -.068 +18775 0 .859 -.092 +18776 0 .854 -.092 +18777 0 .855 -.104 +18778 0 .85 -.01 +18779 0 .85 -.015 +18780 0 .847 .04 +18781 0 .847 .038 +18782 0 .846 .053 +18783 0 .846 .047 +18784 0 .846 .064 +18785 0 .846 .062 +18786 0 .846 .063 +18787 0 .846 .064 +18788 0 .846 .067 +18789 0 .846 .063 +18790 0 .868 .086 +18791 0 .872 .093 +18792 0 .872 .087 +18793 0 .872 .085 +18794 0 .869 .093 +18795 0 .872 .088 +18796 0 .871 .104 +18797 0 .872 .087 +18798 0 .871 .103 +18799 0 .872 .082 +18800 0 .871 .108 +18801 0 .872 .078 +18802 0 .872 .109 +18803 0 .872 .077 +18804 0 .872 .11 +18805 0 .872 .08 +18806 0 .872 .114 +18807 0 .872 .083 +18808 0 .872 .059 +18809 0 .872 .064 +18810 0 .872 .032 +18811 0 .872 .05 +18812 0 .872 .047 +18813 0 .872 .017 +18814 0 .872 .043 +18815 0 .872 .009 +18816 0 .871 .036 +18817 0 .872 .003 +18818 0 .87 .012 +18819 0 .871 -.011 +18820 0 .866 -.023 +18821 0 .869 -.039 +18822 0 .863 -.053 +18823 0 .866 -.071 +18824 0 .86 -.087 +18825 0 .862 -.1 +18826 0 .855 -.095 +18827 0 .856 -.116 +18828 0 .85 -.004 +18829 0 .851 -.019 +18830 0 .847 .047 +18831 0 .847 .038 +18832 0 .846 .055 +18833 0 .846 .045 +18834 0 .846 .058 +18835 0 .846 .049 +18836 0 .846 .059 +18837 0 .846 .044 +18838 0 .846 .058 +18839 0 .846 .04 +18840 0 .872 .03 +18841 0 .872 .05 +18842 0 .872 .012 +18843 0 .872 .037 +18844 0 .872 .017 +18845 0 .872 -.014 +18846 0 .872 .01 +18847 0 .872 -.028 +18848 0 .872 .004 +18849 0 .872 -.039 +18850 0 .872 -.005 +18851 0 .872 -.044 +18852 0 .872 -.016 +18853 0 .872 -.064 +18854 .005 .874 -.059 +18855 .008 .875 -.106 +18856 .013 .882 -.064 +18857 .034 .902 -.122 +18858 .025 .915 -.15 +18859 .033 .933 -.212 +18860 .024 .896 -.294 +18861 .02 .896 -.3 +18862 .06 .853 -.397 +18863 .044 .858 -.368 +18864 .09 .845 -.365 +18865 .068 .852 -.348 +18866 .062 .867 -.279 +18867 .039 .869 -.283 +18868 .028 .872 -.23 +18869 .03 .872 -.267 +18870 .016 .873 -.214 +18871 .017 .873 -.254 +18872 0 .872 -.005 +18873 0 .872 .022 +18874 0 .872 -.006 +18875 0 .872 .014 +18876 0 .872 -.029 +18877 0 .872 -.031 +18878 0 .872 -.046 +18879 0 .872 -.048 +18880 0 .872 -.057 +18881 0 .872 -.057 +18882 0 .872 -.06 +18883 0 .872 -.06 +18884 0 .872 -.093 +18885 0 .872 -.095 +18886 0 .872 -.104 +18887 0 .872 -.102 +18888 0 .872 -.078 +18889 0 .872 -.077 +18890 0 .872 -.107 +18891 0 .872 -.106 +18892 0 .872 -.199 +18893 0 .872 -.193 +18894 0 .872 -.235 +18895 0 .872 -.234 +18896 0 .872 -.236 +18897 0 .872 -.236 +18898 0 .872 -.237 +18899 0 .872 -.237 +18900 0 .872 -.236 +18901 0 .872 -.236 +18902 0 .872 -.237 +18903 0 .872 -.237 +18904 0 .872 .011 +18905 0 .872 .036 +18906 0 .872 -.005 +18907 0 .872 .023 +18908 0 .872 -.014 +18909 0 .872 -.028 +18910 0 .872 -.028 +18911 0 .872 -.046 +18912 0 .872 -.038 +18913 0 .872 -.056 +18914 0 .872 -.043 +18915 0 .872 -.059 +18916 0 .872 -.064 +18917 0 .872 -.095 +18918 .003 .874 -.106 +18919 .004 .875 -.116 +18920 .006 .88 -.101 +18921 .006 .881 -.106 +18922 0 .887 -.153 +18923 0 .887 -.155 +18924 -.004 .881 -.264 +18925 -.004 .881 -.264 +18926 -.005 .872 -.311 +18927 -.005 .872 -.307 +18928 0 .87 -.309 +18929 0 .87 -.308 +18930 .002 .871 -.297 +18931 0 .871 -.3 +18932 0 .872 -.279 +18933 0 .872 -.282 +18934 0 .872 -.261 +18935 0 .872 -.26 +18936 0 .862 .068 +18937 0 .861 .046 +18938 0 .862 .067 +18939 0 .862 .046 +18940 0 .862 .08 +18941 0 .862 .077 +18942 0 .862 .059 +18943 0 .865 .079 +18944 0 .859 .057 +18945 0 .862 .097 +18946 0 .853 .04 +18947 0 .859 .097 +18948 0 .871 .106 +18949 0 .872 .112 +18950 0 .872 .146 +18951 0 .872 .127 +18952 0 .872 .139 +18953 0 .872 .122 +18954 0 .862 .067 +18955 0 .865 .061 +18956 0 .867 .081 +18957 0 .871 .092 +18958 0 .863 .078 +18959 0 .869 .095 +18960 0 .865 .083 +18961 0 .87 .104 +18962 0 .862 .104 +18963 0 .871 .103 +18964 0 .859 .095 +18965 0 .871 .107 +18966 0 .872 .112 +18967 0 .872 .111 +18968 0 .872 .129 +18969 0 .872 .111 +18970 0 .872 .124 +18971 0 .872 .116 +18972 0 .872 .087 +18973 0 .872 .083 +18974 0 .872 .06 +18975 0 .872 .065 +18976 0 .872 .088 +18977 0 .872 .049 +18978 0 .872 .084 +18979 0 .872 .043 +18980 0 .871 .074 +18981 0 .871 .035 +18982 0 .869 .049 +18983 0 .869 .008 +18984 0 .866 .012 +18985 0 .866 -.03 +18986 0 .863 -.02 +18987 0 .863 -.058 +18988 0 .859 -.068 +18989 0 .859 -.092 +18990 0 .854 -.092 +18991 0 .855 -.104 +18992 0 .85 -.01 +18993 0 .85 -.015 +18994 0 .847 .04 +18995 0 .847 .038 +18996 0 .846 .053 +18997 0 .846 .047 +18998 0 .846 .064 +18999 0 .846 .062 +19000 0 .846 .063 +19001 0 .846 .064 +19002 0 .846 .067 +19003 0 .846 .063 +19004 0 .868 .086 +19005 0 .872 .093 +19006 0 .872 .087 +19007 0 .872 .085 +19008 0 .869 .093 +19009 0 .872 .088 +19010 0 .871 .104 +19011 0 .872 .087 +19012 0 .871 .103 +19013 0 .872 .082 +19014 0 .871 .108 +19015 0 .872 .078 +19016 0 .872 .109 +19017 0 .872 .077 +19018 0 .872 .11 +19019 0 .872 .08 +19020 0 .872 .114 +19021 0 .872 .083 +19022 0 .872 .059 +19023 0 .872 .064 +19024 0 .872 .032 +19025 0 .872 .05 +19026 0 .872 .047 +19027 0 .872 .017 +19028 0 .872 .043 +19029 0 .872 .009 +19030 0 .871 .036 +19031 0 .872 .003 +19032 0 .87 .012 +19033 0 .871 -.011 +19034 0 .866 -.023 +19035 0 .869 -.039 +19036 0 .863 -.053 +19037 0 .866 -.071 +19038 0 .86 -.087 +19039 0 .862 -.1 +19040 0 .855 -.095 +19041 0 .856 -.116 +19042 0 .85 -.004 +19043 0 .851 -.019 +19044 0 .847 .047 +19045 0 .847 .038 +19046 0 .846 .055 +19047 0 .846 .045 +19048 0 .846 .058 +19049 0 .846 .049 +19050 0 .846 .059 +19051 0 .846 .044 +19052 0 .846 .058 +19053 0 .846 .04 +19054 0 .872 .03 +19055 0 .872 .05 +19056 0 .872 .012 +19057 0 .872 .037 +19058 0 .872 .017 +19059 0 .872 -.014 +19060 0 .872 .01 +19061 0 .872 -.028 +19062 0 .872 .004 +19063 0 .872 -.039 +19064 0 .872 -.005 +19065 0 .872 -.044 +19066 0 .872 -.016 +19067 0 .872 -.064 +19068 -.005 .874 -.059 +19069 -.008 .875 -.106 +19070 -.013 .882 -.064 +19071 -.034 .902 -.122 +19072 -.025 .915 -.15 +19073 -.033 .933 -.212 +19074 -.024 .896 -.294 +19075 -.02 .896 -.3 +19076 -.06 .853 -.397 +19077 -.044 .858 -.368 +19078 -.09 .845 -.365 +19079 -.068 .852 -.348 +19080 -.062 .867 -.279 +19081 -.039 .869 -.283 +19082 -.028 .872 -.23 +19083 -.03 .872 -.267 +19084 -.016 .873 -.214 +19085 -.017 .873 -.254 +19086 0 .872 -.005 +19087 0 .872 .022 +19088 0 .872 -.006 +19089 0 .872 .014 +19090 0 .872 -.029 +19091 0 .872 -.031 +19092 0 .872 -.046 +19093 0 .872 -.048 +19094 0 .872 -.057 +19095 0 .872 -.057 +19096 0 .872 -.06 +19097 0 .872 -.06 +19098 0 .872 -.093 +19099 0 .872 -.095 +19100 0 .872 -.104 +19101 0 .872 -.102 +19102 0 .872 -.078 +19103 0 .872 -.077 +19104 0 .872 -.107 +19105 0 .872 -.106 +19106 0 .872 -.199 +19107 0 .872 -.193 +19108 0 .872 -.235 +19109 0 .872 -.234 +19110 0 .872 -.236 +19111 0 .872 -.236 +19112 0 .872 -.237 +19113 0 .872 -.237 +19114 0 .872 -.236 +19115 0 .872 -.236 +19116 0 .872 -.237 +19117 0 .872 -.237 +19118 0 .872 .011 +19119 0 .872 .036 +19120 0 .872 -.005 +19121 0 .872 .023 +19122 0 .872 -.014 +19123 0 .872 -.028 +19124 0 .872 -.028 +19125 0 .872 -.046 +19126 0 .872 -.038 +19127 0 .872 -.056 +19128 0 .872 -.043 +19129 0 .872 -.059 +19130 0 .872 -.064 +19131 0 .872 -.095 +19132 -.003 .874 -.106 +19133 -.004 .875 -.116 +19134 -.006 .88 -.101 +19135 -.006 .881 -.106 +19136 0 .887 -.153 +19137 0 .887 -.155 +19138 .004 .881 -.264 +19139 .004 .881 -.264 +19140 .005 .872 -.311 +19141 .005 .872 -.307 +19142 0 .87 -.309 +19143 0 .87 -.308 +19144 -.002 .871 -.297 +19145 0 .871 -.3 +19146 0 .872 -.279 +19147 0 .872 -.282 +19148 0 .872 -.261 +19149 0 .872 -.26 diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mh/universal-male-young-maxmuscle-averageweight.target b/third_party/UO_Model3D_v13/pipeline/body13/mh/universal-male-young-maxmuscle-averageweight.target new file mode 100644 index 0000000..b7c039c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mh/universal-male-young-maxmuscle-averageweight.target @@ -0,0 +1,6843 @@ +# This is a target file for MakeHuman +# +# This asset was explicitly released as CC0 in september 2020. The license +# text for CC0 can be found in the root of this repository. +# +# Original copyright (C) 2014 Manuel Bastioni +# +# The copyright was explicitly transfered to other team members in 2016: +# +# Copyright (C) 2020 Data Collection AB, https://www.datacollection.se +# Copyright (C) 2020 Joel Palmius +# Copyright (C) 2020 Jonas Hauquier +# +# The primary legal contact for MakeHuman is Data Collection AB. +# +# For more information, see homepage at http://www.makehumancommunity.org +# +# basemesh hm08 +760 .011 -.018 -.002 +773 0 .002 0 +774 .007 -.003 -.005 +778 0 0 -.002 +779 0 .002 .002 +796 -.002 .014 .01 +802 0 0 .002 +805 0 0 .002 +806 0 0 .002 +807 0 0 .002 +810 0 0 .002 +811 -.002 .019 .029 +812 -.001 .018 .005 +813 -.002 .015 .021 +815 0 .008 .023 +816 0 0 .002 +821 .019 -.02 .003 +822 .027 -.041 .003 +825 .011 -.004 .006 +826 .009 -.005 .007 +827 .025 -.017 .004 +828 .021 -.035 .008 +830 -.005 0 .007 +831 .004 -.005 .011 +832 .006 -.012 .014 +833 .022 -.019 .01 +834 .027 -.04 .018 +835 -.007 -.002 -.007 +836 -.013 -.005 .009 +837 -.003 -.006 .014 +838 -.005 -.018 .022 +839 .02 -.015 .014 +840 .032 -.036 .028 +841 -.007 0 -.005 +842 -.005 -.002 0 +843 0 -.004 .011 +844 -.003 -.008 .015 +845 .018 -.009 .021 +846 .036 -.023 .04 +847 -.003 -.007 .002 +848 -.002 -.003 .002 +849 -.001 -.008 .01 +850 -.004 -.003 .011 +851 .003 -.003 .035 +852 .028 -.008 .056 +854 0 -.003 -.007 +855 0 -.015 .002 +856 0 -.024 0 +857 0 .011 -.005 +858 0 .026 .053 +930 0 0 -.003 +931 0 0 .004 +941 0 0 .016 +969 0 0 .044 +1017 -.002 .016 .048 +1019 0 -.005 .003 +1030 -.013 -.02 0 +1031 0 -.009 .005 +1032 -.018 .012 -.002 +1039 .001 -.01 .004 +1040 -.012 .006 .024 +1044 -.001 -.007 .005 +1045 .011 .011 .055 +1051 -.015 -.014 .006 +1053 -.001 -.008 -.001 +1355 .006 .009 -.009 +1356 .056 -.007 -.081 +1357 .046 0 -.098 +1358 .036 -.048 -.097 +1359 .023 -.048 -.051 +1360 .029 -.043 -.004 +1361 .013 -.048 .015 +1362 .025 -.057 .02 +1363 .036 -.049 0 +1364 .054 -.044 -.023 +1365 .016 -.009 -.046 +1366 .036 -.005 -.023 +1367 .016 .014 -.008 +1368 .052 -.047 -.083 +1369 .053 -.045 -.06 +1370 .057 -.051 -.042 +1371 .052 -.037 -.015 +1372 .056 -.021 .001 +1373 .058 -.013 -.007 +1374 .062 -.017 -.02 +1375 -.014 .012 -.041 +1376 .009 -.009 -.024 +1377 -.059 .01 -.028 +1378 .068 -.022 -.092 +1379 .056 -.022 -.008 +1380 .057 -.018 -.006 +1381 .069 .002 -.003 +1382 .073 .011 .002 +1383 .074 .014 -.006 +1384 .064 .011 -.014 +1385 .016 -.044 -.096 +1386 .016 -.047 -.077 +1387 .02 -.051 -.057 +1388 .046 -.016 -.047 +1389 .02 -.007 .04 +1390 .015 .004 .059 +1391 0 .029 .065 +1392 .022 .031 .051 +1393 .031 .031 .034 +1394 .039 .023 .017 +1395 .068 -.023 -.136 +1396 .04 -.007 -.086 +1397 .031 -.027 -.091 +1398 .004 -.009 -.065 +1399 0 -.003 .086 +1400 0 -.002 .095 +1401 0 .019 .081 +1402 0 .019 .07 +1403 .003 -.004 -.009 +1404 .009 .008 -.004 +1405 .011 .033 -.156 +1406 -.033 .074 -.17 +1407 -.012 .055 -.12 +1408 -.023 -.016 -.074 +1409 -.011 -.034 -.083 +1410 -.001 -.042 -.05 +1411 .016 -.048 -.033 +1412 .04 0 -.011 +1413 .067 .028 .003 +1414 -.006 -.038 -.009 +1415 -.038 .041 -.116 +1416 -.066 .07 -.128 +1417 -.097 .061 -.013 +1418 -.084 .016 .069 +1419 -.063 -.035 .107 +1420 -.014 -.055 -.006 +1421 -.019 -.044 -.001 +1422 -.011 -.04 -.01 +1423 .018 -.039 0 +1424 -.015 -.037 .012 +1425 -.062 .041 -.088 +1426 -.079 .058 -.087 +1427 -.094 .06 .029 +1428 -.094 .013 .098 +1429 -.084 -.044 .122 +1430 .022 .007 -.006 +1431 .066 -.011 -.113 +1432 .04 .018 -.128 +1433 .002 -.017 -.075 +1434 .003 -.043 -.038 +1435 .002 -.046 0 +1436 .014 -.041 .03 +1437 .026 -.047 .037 +1438 .051 -.059 .005 +1439 .095 -.059 -.005 +1440 .004 -.019 -.015 +1441 -.016 .034 -.153 +1442 -.06 .079 -.165 +1443 -.049 .068 -.073 +1444 -.103 -.031 -.007 +1445 -.019 -.029 -.029 +1446 .008 -.012 -.031 +1447 .019 0 -.041 +1448 .021 .007 -.047 +1449 .025 .015 -.034 +1450 .052 -.008 -.035 +1451 .006 .007 -.018 +1452 -.059 .024 -.027 +1453 -.028 -.021 -.058 +1454 .039 -.028 -.071 +1455 .045 .01 -.078 +1456 0 .002 -.052 +1457 -.018 0 -.021 +1458 .073 -.012 -.054 +1459 .02 .005 -.083 +1460 0 .011 .021 +1461 -.001 .004 .005 +1462 0 0 -.012 +1463 0 0 -.03 +1464 0 0 -.023 +1465 .023 -.009 -.002 +1466 -.001 .002 -.014 +1467 0 -.025 .015 +1468 .021 -.014 .014 +1469 .043 -.032 .038 +1470 .068 -.052 .057 +1471 -.002 .007 .096 +1472 0 .006 .062 +1473 -.043 .01 .103 +1474 -.039 .018 .116 +1475 -.001 0 .031 +1476 -.025 .013 .124 +1477 0 .006 .124 +1478 .053 -.065 .054 +1479 .038 -.041 -.002 +1480 .026 -.025 -.025 +1481 .007 -.021 -.025 +1482 .015 -.034 -.055 +1483 0 -.033 -.034 +1484 .01 -.031 -.022 +1485 .006 -.038 -.014 +1486 -.006 -.04 .002 +1487 -.004 -.049 .027 +1488 .031 -.05 .043 +1489 .045 -.037 .045 +1490 .026 -.015 .041 +1491 0 -.012 .03 +1492 -.006 -.015 .026 +1493 .022 -.009 .028 +1494 .033 -.005 .059 +1495 .003 -.003 .072 +1496 0 0 .065 +1497 .039 -.011 .061 +1498 .04 -.027 .05 +1499 .036 -.039 .043 +1500 .006 -.037 .027 +1501 -.002 -.042 .013 +1502 -.005 .005 .124 +1503 .015 -.043 .002 +1504 .009 -.026 -.006 +1505 .008 -.01 -.009 +1506 -.01 .01 .132 +1507 -.015 .014 .128 +1508 -.002 .007 .108 +1509 0 -.002 .018 +1510 -.002 .017 .032 +1511 0 0 .01 +1512 .01 -.008 -.013 +1514 -.002 .002 .049 +1515 0 0 -.011 +1516 -.002 0 .021 +1517 0 0 -.025 +1518 -.011 -.005 -.042 +1519 -.031 -.011 -.057 +1520 -.017 -.023 -.049 +1521 -.003 .013 .067 +1522 0 .019 .071 +1523 -.003 .006 .083 +1524 0 .003 .054 +1525 -.002 0 .049 +1526 0 0 .045 +1527 .002 .016 .08 +1528 0 -.009 .066 +1529 -.02 .02 .13 +1530 -.016 .014 .114 +1531 -.011 .007 .09 +1532 .011 .018 .062 +1533 -.006 .027 .085 +1534 -.014 .034 .107 +1535 -.032 .032 .112 +1536 -.008 .008 .118 +1537 .02 0 -.038 +1538 -.006 .011 -.034 +1539 0 -.01 .004 +1540 .023 -.014 0 +1541 .046 -.056 .06 +1542 .05 -.065 .075 +1543 .063 -.055 .046 +1544 .065 -.056 -.006 +1545 .044 -.044 .001 +1546 .031 -.028 .009 +1547 .018 -.037 -.002 +1548 .022 -.007 -.057 +1549 -.011 0 -.049 +1550 0 -.005 -.015 +1551 0 .014 -.011 +1552 .055 -.094 .078 +1553 .051 -.09 .082 +1554 .024 -.076 .062 +1555 .013 -.04 .01 +1556 -.019 .01 -.005 +1557 -.046 .026 -.002 +1558 -.056 .018 -.013 +1559 .004 -.085 .049 +1560 .038 -.105 .022 +1561 .024 -.153 .013 +1562 .042 -.284 .076 +1563 .06 -.294 .111 +1564 .068 -.322 .111 +1565 .051 -.105 .079 +1566 .032 -.094 .05 +1567 0 -.126 .024 +1568 .02 -.294 .107 +1569 .034 -.337 .131 +1570 .037 -.357 .12 +1571 .05 -.121 .086 +1572 0 -.089 .08 +1573 -.041 -.118 .031 +1574 -.021 -.298 .058 +1575 -.005 -.333 .073 +1576 0 -.357 .063 +1577 0 -.031 -.057 +1578 -.019 -.052 -.09 +1579 -.075 -.09 -.134 +1580 -.065 -.279 -.086 +1581 -.039 -.301 -.048 +1582 -.029 -.329 -.053 +1583 .007 -.029 -.092 +1584 -.05 -.043 -.132 +1585 -.072 -.083 -.158 +1586 -.062 -.235 -.134 +1587 -.055 -.27 -.117 +1588 -.04 -.296 -.103 +1589 -.013 -.04 -.065 +1590 -.016 -.043 -.079 +1591 -.019 -.075 -.097 +1592 -.019 -.186 -.104 +1593 -.019 -.211 -.095 +1594 -.018 -.243 -.075 +1595 0 -.03 -.026 +1596 0 -.043 -.03 +1597 0 -.053 -.028 +1598 0 -.119 -.075 +1599 0 -.148 -.076 +1600 0 -.162 -.066 +1601 -.004 -.017 -.007 +1602 -.036 0 -.026 +1603 -.045 .004 .014 +1604 -.019 .007 -.006 +1605 -.021 -.029 .011 +1606 -.046 .012 -.009 +1607 -.076 .02 .022 +1608 -.017 .018 .004 +1609 -.016 -.055 0 +1610 -.024 -.123 0 +1611 -.037 -.158 -.026 +1612 .045 -.199 .086 +1613 .08 -.206 .095 +1614 .088 -.227 .096 +1615 -.078 -.013 0 +1616 -.1 .023 0 +1617 -.099 .036 .019 +1618 -.024 .028 .011 +1619 -.074 -.068 -.019 +1620 -.054 -.111 -.048 +1621 0 -.166 0 +1622 .004 -.169 .014 +1623 .016 -.137 0 +1624 .043 -.161 .046 +1625 -.168 .002 -.01 +1626 -.142 .026 .013 +1627 -.099 .014 .029 +1628 -.035 -.008 .02 +1629 -.126 -.039 -.038 +1630 -.079 -.066 -.065 +1631 -.009 -.136 .006 +1632 -.023 -.121 .013 +1633 -.048 -.147 .011 +1634 -.04 -.112 -.008 +1635 -.168 -.016 0 +1636 -.163 -.002 .012 +1637 -.101 -.046 .02 +1638 -.041 -.047 .007 +1639 -.146 -.037 -.028 +1640 -.096 -.046 -.054 +1641 -.058 -.122 .032 +1642 -.081 -.112 .032 +1643 -.108 -.105 .021 +1644 -.164 -.053 .028 +1645 -.154 -.053 .02 +1646 -.088 -.066 .014 +1647 -.035 -.061 .005 +1648 -.151 -.045 .011 +1649 -.12 -.041 -.024 +1650 -.047 -.072 .028 +1651 -.066 -.072 .021 +1652 -.054 -.052 .042 +1653 -.024 -.044 .014 +1654 -.154 -.076 .056 +1655 -.131 -.074 .054 +1656 -.07 -.06 .023 +1657 -.031 -.047 .01 +1658 -.142 -.053 .032 +1659 -.122 -.03 .005 +1660 -.063 -.088 .014 +1661 -.076 -.087 .011 +1662 -.075 -.087 .054 +1663 -.091 -.085 .052 +1664 -.031 -.094 .012 +1665 -.026 -.115 .026 +1666 0 -.152 .045 +1667 -.064 -.084 -.069 +1668 -.01 -.154 .009 +1669 -.093 .05 .032 +1670 -.019 .041 .023 +1671 -.112 .044 .004 +1672 -.132 0 -.008 +1673 -.105 -.052 -.045 +1674 .002 .049 -.137 +1675 .046 .014 -.13 +1676 .033 .04 .002 +1677 0 -.054 0 +1678 -.024 -.056 0 +1679 -.023 -.05 -.035 +1680 -.015 0 -.085 +1681 .068 .011 -.058 +1682 .081 -.026 .035 +1683 .037 -.046 .024 +1684 .007 -.065 .007 +1685 -.045 -.102 -.073 +1686 -.075 -.065 -.055 +1687 -.106 -.056 -.033 +1688 -.105 -.037 -.021 +1689 -.035 -.127 -.064 +1690 .012 -.117 .026 +1691 .075 -.289 .101 +1692 .08 -.266 .107 +1693 .07 -.229 .067 +1694 .013 -.003 .045 +1695 -.073 .04 -.039 +1696 -.085 .045 -.05 +1697 -.1 .035 .024 +1698 -.111 0 .07 +1699 -.089 -.06 .079 +1700 -.001 .025 .022 +1701 -.102 0 .051 +1702 -.085 -.016 .071 +1703 -.028 -.033 .048 +1704 .001 -.023 .046 +1705 -.106 .006 .02 +1706 -.09 .004 -.012 +1707 -.055 -.111 -.007 +1708 -.06 -.114 -.009 +1709 -.068 -.116 .057 +1710 -.084 -.006 -.028 +1711 .032 .043 .078 +1712 -.028 .071 -.01 +1713 -.04 .074 -.02 +1714 -.061 .033 .03 +1715 -.065 .011 .076 +1716 -.052 -.044 .032 +1717 .011 .056 .031 +1718 -.072 .105 .064 +1719 -.052 .089 .086 +1720 -.017 .062 .086 +1721 .008 .036 .082 +1722 -.061 .083 .032 +1723 -.05 .061 -.003 +1724 -.026 -.104 -.019 +1725 -.032 -.105 -.02 +1726 -.034 -.086 .018 +1727 -.056 .03 -.028 +1728 .031 .036 .099 +1729 .001 .062 .014 +1730 -.005 .083 -.013 +1731 -.015 .041 .044 +1732 -.021 .012 .063 +1733 -.016 -.021 .06 +1734 .027 .032 .046 +1735 -.043 .094 .08 +1736 -.048 .091 .093 +1737 -.022 .081 .094 +1738 .003 .063 .092 +1739 -.046 .083 .063 +1740 -.029 .059 .023 +1741 .014 -.074 .018 +1742 .003 -.067 .03 +1743 -.008 -.046 .056 +1744 -.028 .03 0 +1745 .06 .013 .078 +1746 .008 .028 -.007 +1747 .015 .032 0 +1748 0 .033 .057 +1749 .009 .021 .074 +1750 .007 -.008 .082 +1751 .061 .009 .029 +1752 -.046 .072 .061 +1753 -.04 .066 .075 +1754 -.004 .055 .091 +1755 .033 .052 .095 +1756 -.028 .05 .045 +1757 -.014 .039 .028 +1758 .004 -.024 .051 +1759 .006 -.026 .068 +1760 0 -.021 .087 +1761 -.029 .026 .022 +1762 .051 -.02 -.085 +1763 .051 -.022 -.082 +1764 .053 -.024 -.08 +1765 .055 -.025 -.08 +1766 .053 -.03 -.084 +1767 .054 -.034 -.086 +1768 .055 -.033 -.09 +1769 .053 -.031 -.095 +1770 .051 -.03 -.094 +1771 .051 -.03 -.097 +1772 .05 -.032 -.098 +1773 .046 -.03 -.099 +1774 .049 -.028 -.095 +1775 .047 -.027 -.091 +1776 .049 -.02 -.085 +1777 .05 -.022 -.082 +1778 .052 -.021 -.088 +1779 .049 -.022 -.087 +1780 .05 -.026 -.086 +1781 .053 -.024 -.086 +1782 .052 -.03 -.088 +1783 .053 -.033 -.09 +1784 .054 -.037 -.086 +1785 .053 -.036 -.087 +1786 .056 -.034 -.089 +1787 .052 -.034 -.089 +1788 .049 -.029 -.09 +1789 .047 -.028 -.089 +1790 .049 -.026 -.089 +1791 .047 -.022 -.088 +1792 .047 -.02 -.086 +1793 .049 -.019 -.084 +1794 .057 -.021 -.075 +1795 .057 -.023 -.072 +1796 .05 -.026 -.072 +1797 .054 -.028 -.075 +1798 .054 -.028 -.078 +1799 .054 -.034 -.084 +1800 .054 -.034 -.09 +1801 .051 -.03 -.096 +1802 .047 -.028 -.106 +1803 .049 -.027 -.11 +1804 .05 -.024 -.113 +1805 .047 -.024 -.108 +1806 .045 -.022 -.099 +1807 .045 -.026 -.093 +1808 .052 -.023 -.084 +1809 .053 -.021 -.075 +1810 .06 -.022 -.061 +1811 .056 -.02 -.059 +1812 .05 -.025 -.062 +1813 .049 -.028 -.068 +1814 .056 -.03 -.073 +1815 .053 -.03 -.081 +1816 .051 -.028 -.09 +1817 .044 -.027 -.101 +1818 .047 -.022 -.111 +1819 .05 -.025 -.124 +1820 .048 -.027 -.133 +1821 .047 -.023 -.121 +1822 .046 -.025 -.105 +1823 .049 -.026 -.092 +1824 .052 -.027 -.079 +1825 .058 -.021 -.065 +1826 .069 -.009 -.043 +1827 .058 -.009 -.036 +1828 .048 -.014 -.032 +1829 .041 -.026 -.034 +1830 .038 -.035 -.038 +1831 .044 -.047 -.058 +1832 .036 -.043 -.082 +1833 .031 -.039 -.116 +1834 .038 -.039 -.144 +1835 .05 -.05 -.17 +1836 .065 -.061 -.171 +1837 .07 -.057 -.138 +1838 .075 -.046 -.092 +1839 .075 -.038 -.074 +1840 .066 -.032 -.065 +1841 .068 -.019 -.051 +1842 .07 -.003 -.037 +1843 .054 0 -.021 +1844 .04 -.011 -.012 +1845 .031 -.026 -.007 +1846 .025 -.04 -.007 +1847 .032 -.058 -.028 +1848 .023 -.057 -.075 +1849 .024 -.049 -.142 +1850 .042 -.046 -.179 +1851 .069 -.056 -.2 +1852 .092 -.069 -.183 +1853 .099 -.069 -.131 +1854 .096 -.062 -.08 +1855 .09 -.051 -.066 +1856 .08 -.043 -.053 +1857 .073 -.024 -.041 +1858 .07 .003 -.023 +1859 .043 .01 -.003 +1860 .026 -.002 .025 +1861 .009 -.018 .046 +1862 .015 -.046 .023 +1863 .012 -.065 .005 +1864 .011 -.054 -.057 +1865 .029 -.035 -.166 +1866 .072 -.021 -.204 +1867 .112 -.015 -.219 +1868 .135 -.019 -.169 +1869 .121 -.047 -.101 +1870 .112 -.054 -.044 +1871 .11 -.058 -.04 +1872 .08 -.049 -.044 +1873 .077 -.023 -.032 +1874 .063 -.02 -.057 +1875 .058 -.027 -.071 +1876 .047 -.031 -.142 +1877 .042 -.022 -.121 +1878 .066 -.016 -.052 +1879 .055 -.035 -.152 +1880 .058 -.014 -.047 +1881 .049 -.032 -.134 +1882 .049 -.039 -.073 +1883 .048 -.034 -.061 +1884 .051 -.019 -.048 +1885 .051 -.029 -.104 +1886 .045 -.031 -.087 +1887 .048 -.027 -.054 +1888 .057 -.026 -.086 +1889 .041 -.03 -.105 +1890 0 -.031 .058 +1891 0 -.038 .048 +1892 0 -.063 .035 +1893 0 -.077 -.015 +1894 -.026 -.004 .081 +1895 -.006 -.047 .049 +1896 -.009 -.084 .027 +1897 .005 -.084 -.025 +3311 .078 -.007 .044 +3312 .052 -.001 -.053 +3313 .036 .004 -.028 +3314 .019 .011 .036 +3315 .022 .033 .068 +3316 0 .014 .081 +3317 .09 -.022 -.014 +3318 -.016 .045 .045 +3319 -.024 .049 .054 +3320 -.008 .047 .076 +3321 .034 .038 .078 +3322 -.004 .022 .023 +3323 .009 .018 .027 +3324 .009 -.009 .072 +3325 .008 -.009 .078 +3326 0 0 .068 +3327 -.006 .013 .044 +3328 .079 -.016 .016 +3329 .071 -.035 -.092 +3330 .06 -.028 -.092 +3331 .03 .002 .017 +3332 .016 .02 .056 +3333 -.009 .015 .073 +3334 .091 -.035 -.037 +3335 .006 .04 .033 +3336 -.009 .055 .038 +3337 .005 .048 .058 +3338 .04 .029 .057 +3339 .008 .018 .017 +3340 .045 .017 .022 +3341 .021 -.016 .099 +3342 .009 -.012 .105 +3343 -.004 0 .087 +3344 .036 .014 .03 +3345 .068 -.032 .005 +3346 .048 -.043 -.085 +3347 .048 -.044 -.108 +3348 .026 -.006 -.001 +3349 .005 .001 .041 +3350 -.023 .002 .07 +3351 .072 -.048 -.044 +3352 .002 .036 .026 +3353 -.014 .043 .03 +3354 -.001 .033 .043 +3355 .033 .009 .046 +3356 .016 .01 .021 +3357 .045 .01 .034 +3358 .01 -.029 .127 +3359 -.003 -.026 .139 +3360 -.025 -.009 .121 +3361 .033 0 .018 +3362 .059 -.049 .009 +3363 .038 -.044 -.059 +3364 .048 -.045 -.075 +3365 .026 -.024 -.011 +3366 -.001 -.016 .041 +3367 -.024 -.019 .084 +3368 .061 -.063 -.036 +3369 -.003 .023 .029 +3370 -.017 .027 .035 +3371 -.013 .019 .038 +3372 .025 -.008 .053 +3373 .009 .006 .022 +3374 .03 -.017 .025 +3375 .015 -.071 .126 +3376 .008 -.066 .142 +3377 -.017 -.045 .133 +3378 .024 -.033 -.002 +3379 .05 -.074 .032 +3380 .046 -.066 -.038 +3381 .053 -.065 -.038 +3382 .016 -.04 -.001 +3383 -.002 -.026 .065 +3384 -.014 -.032 .114 +3385 .061 -.076 -.01 +3386 -.031 .016 .029 +3387 -.034 .018 .043 +3388 -.03 .011 .05 +3389 .01 -.03 .08 +3390 -.021 .003 .003 +3391 .015 -.033 .008 +3392 .025 -.075 .119 +3393 .019 -.076 .154 +3394 .001 -.062 .157 +3395 .013 -.052 -.021 +3396 .052 -.09 .053 +3397 .062 -.1 -.009 +3398 .046 -.118 -.013 +3399 -.025 -.067 .011 +3400 -.039 -.028 .078 +3401 -.03 -.02 .138 +3402 .069 -.097 .011 +3403 -.042 .005 .042 +3404 -.037 .01 .052 +3405 -.021 .006 .053 +3406 .014 -.044 .087 +3407 -.046 -.01 .014 +3408 -.007 -.038 .007 +3409 .021 -.094 .095 +3410 .023 -.089 .155 +3411 .013 -.046 .172 +3412 -.018 -.053 .009 +3413 .055 -.105 .065 +3414 .055 -.155 .009 +3415 .029 -.172 .002 +3416 -.069 -.098 .014 +3417 -.092 -.052 .079 +3418 -.079 -.026 .133 +3419 .063 -.121 .028 +3420 -.043 .01 .027 +3421 -.03 .012 .047 +3422 -.001 -.002 .058 +3423 .034 -.058 .09 +3424 -.026 -.016 .018 +3425 -.027 -.03 .011 +3426 .009 -.094 .097 +3427 .004 -.086 .14 +3428 -.022 -.049 .157 +3429 -.032 -.046 .015 +3430 .061 -.101 .033 +3431 .041 -.127 -.012 +3432 .024 -.144 -.005 +3433 -.064 -.07 -.009 +3434 -.082 -.025 .036 +3435 -.07 -.003 .08 +3436 .053 -.117 .002 +3437 -.022 .003 .005 +3438 -.011 .012 .013 +3439 .011 -.009 .035 +3440 .047 -.056 .056 +3441 -.016 -.001 .011 +3442 -.02 -.029 -.006 +3443 .012 -.067 .081 +3444 .006 -.045 .114 +3445 -.022 -.019 .11 +3446 -.027 -.037 -.011 +3447 .075 -.069 -.02 +3448 .048 -.071 -.033 +3449 .041 -.078 -.026 +3450 -.056 -.039 -.053 +3451 -.064 -.008 -.025 +3452 -.051 .01 .021 +3453 .054 -.08 -.039 +3454 -.009 .01 .002 +3455 .009 .002 .005 +3456 .037 -.012 .019 +3457 .073 -.037 .011 +3458 -.007 .018 .009 +3459 -.023 -.015 -.025 +3460 .018 -.033 .071 +3461 .008 -.007 .08 +3462 -.019 .003 .055 +3463 -.04 -.026 -.046 +3464 .084 -.033 -.073 +3465 .058 -.029 -.083 +3466 .046 -.02 -.076 +3467 -.061 -.001 -.1 +3468 -.069 .016 -.08 +3469 -.055 .033 -.04 +3470 .065 -.031 -.084 +3471 .037 .032 .02 +3472 .059 .014 .004 +3473 .077 -.005 -.006 +3474 .085 -.02 -.043 +3475 .026 .033 .012 +3476 .012 .017 -.002 +3477 -.013 .015 .004 +3478 -.017 .022 .002 +3479 -.041 .035 -.017 +3480 -.024 -.014 -.033 +3481 .057 -.016 -.062 +3482 .043 -.014 -.067 +3483 .035 0 -.078 +3484 -.042 .009 -.088 +3485 -.054 .028 -.086 +3486 -.053 .048 -.055 +3487 .043 -.018 -.059 +3488 .052 .008 .009 +3489 .062 0 .002 +3490 .068 -.007 -.007 +3491 .071 -.011 -.035 +3492 .04 .011 .006 +3493 .04 .018 -.007 +3494 -.022 .035 -.031 +3495 -.032 .046 -.036 +3496 -.044 .052 -.041 +3497 0 .01 -.008 +3498 .043 .014 -.064 +3499 .035 .011 -.068 +3500 .038 .017 -.088 +3501 -.005 .037 -.093 +3502 -.015 .041 -.085 +3503 -.021 .05 -.072 +3504 .035 .01 -.065 +3505 .058 .009 -.026 +3506 .054 .009 -.034 +3507 .052 .009 -.045 +3508 .05 .012 -.056 +3509 .061 .01 -.02 +3510 .052 .013 -.015 +3511 -.009 .065 -.033 +3512 -.018 .066 -.045 +3513 -.025 .062 -.056 +3514 .039 .022 -.021 +3515 .017 .02 -.055 +3516 .025 .023 -.054 +3517 .028 .028 -.069 +3518 .022 .036 -.063 +3519 .02 .031 -.054 +3520 .011 .033 -.054 +3521 .018 .021 -.053 +3522 .034 .006 -.034 +3523 .024 .011 -.041 +3524 .02 .014 -.049 +3525 .02 .021 -.053 +3526 .044 .003 -.025 +3527 .044 .009 -.014 +3528 -.017 .078 -.026 +3529 -.016 .067 -.038 +3530 -.006 .049 -.049 +3531 .038 .024 -.01 +3532 .009 .019 -.044 +3533 .02 .016 -.044 +3534 .035 .023 -.053 +3535 .036 .039 -.022 +3536 .035 .034 -.015 +3537 .024 .033 -.025 +3538 .012 .015 -.043 +3539 .009 .017 -.034 +3540 .003 .021 -.039 +3541 .002 .022 -.045 +3542 .002 .021 -.048 +3543 .019 .011 -.025 +3544 .028 .014 -.011 +3545 -.025 .074 -.015 +3546 -.02 .059 -.026 +3547 0 .042 -.031 +3548 .036 .027 -.004 +3549 .005 0 -.015 +3550 .005 -.007 -.019 +3551 .002 -.008 -.024 +3552 .016 .025 .023 +3553 .025 .025 .033 +3554 .016 .018 .025 +3555 .008 -.004 -.015 +3556 -.01 .016 -.016 +3557 -.012 .017 -.017 +3558 -.008 .013 -.02 +3559 0 .007 -.019 +3560 -.002 .011 -.012 +3561 .007 .01 0 +3562 -.04 .039 .01 +3563 -.03 .029 .004 +3564 -.008 .017 .006 +3565 .025 .008 .014 +3566 0 -.014 -.004 +3567 -.012 -.023 -.009 +3569 -.003 -.017 -.008 +3570 0 -.007 .003 +3571 0 -.008 .004 +3572 .002 -.009 .004 +3573 .003 -.011 0 +3574 0 -.006 .003 +3575 0 -.015 .008 +3582 0 -.005 .003 +3680 -.015 -.009 .028 +3681 -.017 -.005 .017 +3682 -.005 -.002 .037 +3683 -.011 0 .01 +3684 .021 -.004 .025 +3685 .002 -.006 .013 +3686 0 -.003 -.004 +3687 0 0 -.006 +3688 0 0 .018 +3751 0 0 -.008 +3752 .051 -.006 -.128 +3753 .058 -.08 -.118 +3754 .035 -.03 -.093 +3755 .033 -.024 -.086 +3756 .04 -.018 -.122 +3757 .022 .002 -.109 +3758 -.011 .035 -.136 +3759 -.027 .078 -.167 +3760 -.05 .081 -.135 +3761 -.082 .071 -.088 +3762 -.078 .063 -.041 +3763 -.085 .038 -.019 +3764 -.045 .055 -.014 +3765 -.002 .07 -.003 +3766 .013 .035 .021 +3767 .034 -.005 0 +3768 .016 .03 -.093 +3769 .028 .035 -.071 +3770 .037 .036 -.04 +3771 .005 .012 0 +3772 .013 .005 .016 +3773 .002 .006 -.088 +3774 .024 -.185 .024 +3775 -.004 -.18 .028 +3776 -.046 -.178 -.004 +3777 -.078 -.16 -.129 +3778 -.074 -.137 -.164 +3779 -.024 -.117 -.103 +3780 0 -.081 -.042 +3781 .004 -.194 .003 +3782 -.031 -.099 -.07 +3783 -.057 -.076 -.044 +3784 -.089 -.066 -.031 +3785 -.082 -.064 -.036 +3786 -.015 -.137 -.057 +3787 .026 -.214 .018 +3788 -.067 -.043 -.041 +3789 -.052 -.014 -.054 +3790 -.019 -.012 -.02 +3791 -.033 .006 .017 +3792 -.019 0 .041 +3793 .004 -.005 .059 +3794 .01 -.024 .037 +3795 .013 -.054 0 +3796 .012 -.074 -.024 +3797 -.022 -.062 .021 +3798 -.024 -.056 .021 +3799 -.025 -.042 -.002 +3800 -.043 -.029 -.047 +3801 -.029 -.018 -.039 +3802 -.012 0 -.026 +3803 .016 .031 -.025 +3804 .021 .05 -.015 +3805 .022 .052 -.006 +3806 .003 .03 .016 +3807 0 -.002 .018 +3837 .037 -.235 .043 +3838 0 -.24 .058 +3839 -.039 -.241 .024 +3840 -.071 -.217 -.112 +3841 -.065 -.19 -.157 +3842 -.019 -.152 -.109 +3843 0 -.105 -.033 +3844 .047 -.225 .012 +3845 -.007 -.121 -.035 +3846 -.034 -.103 0 +3847 -.053 -.079 -.006 +3848 -.06 -.094 -.025 +3849 .026 -.162 -.026 +3850 -.036 -.095 -.029 +3851 -.033 -.076 -.055 +3852 -.006 -.05 -.025 +3853 -.023 -.008 .03 +3855 -.014 -.001 .051 +3856 .004 -.008 .083 +3857 .01 -.03 .082 +3858 .013 -.062 .049 +3859 .025 -.074 .017 +3860 -.003 -.078 .043 +3861 -.014 -.079 .04 +3862 -.007 -.067 .021 +3863 -.015 -.049 .003 +3864 -.028 -.012 -.01 +3865 -.028 .007 -.029 +3866 -.003 .052 -.027 +3867 -.007 .075 -.017 +3868 -.012 .075 -.006 +3869 -.026 .043 .019 +3871 .069 -.239 .036 +3872 .011 -.003 .036 +3874 .01 -.082 -.046 +3875 .009 -.039 -.093 +3876 -.009 -.106 -.011 +3877 -.016 -.133 -.003 +3878 .017 -.099 -.021 +3879 .034 -.068 -.047 +3880 .035 -.043 -.067 +3881 .033 -.021 -.072 +3882 .025 -.001 -.046 +3883 0 .017 -.036 +3884 .006 .011 -.032 +3885 .003 .016 -.021 +3886 -.007 .024 -.027 +3887 .033 .035 .013 +3888 .025 .035 .006 +3889 .016 .015 -.005 +3890 .037 .016 .009 +3891 .022 .031 0 +3892 -.039 .062 0 +3893 .011 .007 -.03 +3894 .014 .008 -.03 +3895 -.029 .047 -.011 +3896 -.006 .024 -.035 +3897 .016 .016 -.033 +3898 -.005 .031 -.013 +3899 -.01 .027 -.031 +3900 .022 .024 -.015 +3901 .014 .039 .01 +3902 -.026 .068 .01 +3903 0 .026 .026 +3904 .028 .009 .02 +3905 .007 .006 .005 +3906 0 0 -.004 +3907 -.004 .002 -.004 +3908 -.005 0 -.004 +3909 -.004 0 -.004 +3910 0 -.004 -.003 +3911 .004 -.008 -.001 +3912 .005 -.012 -.004 +3913 .002 -.017 -.01 +3914 0 -.015 -.013 +3915 -.022 .015 .026 +3916 -.033 .017 .015 +3917 -.021 .013 .008 +3918 -.004 .006 .013 +3919 .018 .006 .034 +3920 .03 .021 .031 +3921 .019 .015 .015 +3923 .079 .04 .016 +3924 .06 -.031 .021 +3925 .041 .044 -.019 +3926 .05 -.343 .096 +3927 .027 -.382 .102 +3928 -.006 -.382 .035 +3929 -.04 -.368 -.049 +3930 -.043 -.333 -.085 +3931 -.004 -.257 -.044 +3932 0 -.187 -.061 +3933 .077 -.26 .096 +3934 .061 -.176 .076 +3935 .059 -.117 .072 +3936 .054 -.307 .079 +3937 .095 .046 .012 +3938 .092 -.02 .051 +3939 .071 .061 -.007 +3940 .037 -.355 .083 +3941 .006 -.396 .055 +3942 -.021 -.4 -.008 +3943 -.033 -.379 -.053 +3944 -.043 -.34 -.065 +3945 0 -.267 -.026 +3946 0 -.198 .007 +3947 .07 -.239 .089 +3948 .08 -.171 .107 +3949 .091 -.108 .121 +3950 .027 -.322 .11 +3951 .115 .083 -.023 +3952 .109 -.008 .072 +3953 .095 .089 -.007 +3954 -.015 -.335 .075 +3955 -.019 -.375 .027 +3956 -.033 -.38 -.012 +3957 -.047 -.372 -.038 +3958 -.05 -.339 -.047 +3959 -.006 -.28 -.024 +3960 0 -.226 -.044 +3961 .076 -.21 .104 +3962 .093 -.15 .128 +3963 .108 -.097 .158 +3964 .041 -.271 .082 +3965 .146 .119 -.061 +3966 .096 -.013 .08 +3967 .108 .07 -.009 +3968 -.011 -.292 .038 +3969 -.053 -.328 .027 +3970 -.044 -.333 0 +3971 -.054 -.329 -.018 +3972 -.045 -.309 -.032 +3973 0 -.285 -.014 +3974 0 -.232 -.027 +3975 .063 -.196 .111 +3976 .086 -.138 .136 +3977 .094 -.077 .131 +3978 .033 -.225 .064 +3979 .145 .126 -.082 +3980 .097 -.012 .051 +3981 .087 .045 -.019 +3982 -.021 -.238 .023 +3983 -.035 -.258 .002 +3984 -.069 -.267 -.013 +3985 -.062 -.262 -.033 +3986 -.041 -.264 -.042 +3987 .003 -.247 -.011 +3988 0 -.218 .022 +3989 .057 -.166 .089 +3990 .082 -.118 .105 +3991 .1 -.059 .094 +3992 .018 -.204 .056 +3993 .152 .16 -.093 +3994 .096 .046 .014 +3995 .082 .09 -.036 +3996 -.007 -.147 .01 +3997 -.032 -.169 -.007 +3998 -.069 -.172 -.028 +3999 -.067 -.169 -.051 +4000 -.044 -.168 -.057 +4001 .009 -.158 -.008 +4002 0 -.162 .016 +4003 .053 -.083 .071 +4004 .083 -.048 .08 +4005 .097 .006 .063 +4006 .021 -.115 .036 +4007 .103 .133 -.098 +4008 .079 .026 .002 +4009 .085 .072 -.039 +4010 .004 -.103 .017 +4011 -.029 -.121 -.007 +4012 -.075 -.133 -.028 +4013 -.07 -.14 -.046 +4014 -.037 -.126 -.042 +4015 .015 -.133 .019 +4016 0 -.136 .048 +4017 .053 -.058 .056 +4018 .063 -.034 .055 +4019 .074 -.006 .04 +4020 .033 -.082 .039 +4021 .082 .036 -.082 +4022 .014 -.052 .002 +4023 .045 -.022 -.02 +4024 -.007 -.106 .005 +4025 -.024 -.115 -.005 +4026 -.057 -.134 -.014 +4027 -.057 -.141 -.029 +4028 -.027 -.132 -.016 +4029 .024 -.133 .038 +4030 0 -.141 .059 +4031 .04 -.081 .04 +4032 .018 -.073 .026 +4033 .007 -.069 .016 +4034 .017 -.091 .025 +4035 .013 -.108 -.034 +4036 -.09 -.149 -.019 +4037 -.038 -.136 -.013 +4038 .056 .008 -.116 +4039 -.025 -.124 .003 +4040 -.019 -.133 .005 +4041 -.026 -.149 .003 +4042 -.029 -.159 -.004 +4043 -.019 -.147 .002 +4044 .027 -.147 .043 +4045 0 -.129 .124 +4046 .022 -.008 -.078 +4047 -.076 -.139 -.017 +4048 -.09 -.142 -.026 +4049 -.029 -.126 .001 +4050 -.016 -.148 -.008 +4051 -.091 -.159 .013 +4052 -.066 -.159 -.005 +4053 .032 -.004 -.081 +4054 -.021 -.121 .013 +4055 0 -.12 .018 +4056 .016 -.129 .022 +4057 .012 -.146 .029 +4058 0 -.146 .025 +4059 .018 -.145 .034 +4060 0 -.141 .045 +4061 -.083 -.144 -.007 +4062 -.086 -.153 -.003 +4063 -.046 -.126 .004 +4064 .104 -.016 .029 +4065 .12 -.014 .008 +4066 .15 .003 -.038 +4067 .19 .114 -.149 +4068 .181 .036 -.12 +4069 0 -.006 -.106 +4070 0 .015 -.054 +4071 0 .02 -.109 +4072 .106 .049 -.199 +4073 .159 .084 -.235 +4074 .08 -.06 -.106 +4075 .074 .015 -.084 +4076 .041 -.005 -.042 +4077 .097 .023 -.072 +4078 .13 .065 -.182 +4079 .173 .096 -.224 +4080 .151 .066 -.147 +4081 .098 .033 -.093 +4082 .021 .022 -.05 +4083 .083 .044 -.083 +4084 .123 .083 -.13 +4085 .15 .119 -.168 +4086 .164 .132 -.163 +4087 .066 .022 -.051 +4088 0 .019 -.072 +4089 .065 .015 -.066 +4090 .121 .054 -.126 +4091 .149 .068 -.14 +4092 .185 .112 -.222 +4093 0 .029 -.08 +4094 .029 .022 -.147 +4095 .033 -.005 -.06 +4096 .068 0 -.144 +4097 .055 -.031 -.13 +4098 .166 .075 -.192 +4099 .068 .019 -.11 +4100 .012 .013 -.071 +4101 .182 .159 -.168 +4102 .147 .146 -.142 +4103 .134 .059 -.134 +4104 .064 -.081 -.057 +4105 -.045 -.133 -.002 +4106 0 .008 -.049 +4107 .007 -.009 -.022 +4108 .007 -.009 -.009 +4109 .014 .007 -.016 +4110 0 .018 -.022 +4111 0 0 -.051 +4112 .011 -.003 -.038 +4113 .018 .001 -.027 +4114 .023 .01 -.035 +4115 0 .019 -.051 +4116 0 -.007 -.048 +4117 .016 -.005 -.045 +4118 .024 .007 -.057 +4119 .026 .018 -.053 +4120 0 .025 -.072 +4121 0 .014 -.062 +4122 .017 -.007 -.049 +4123 -.007 -.016 -.026 +4124 .043 -.089 -.059 +4125 .019 -.02 -.063 +4126 .016 -.054 -.065 +4127 .034 -.117 -.019 +4128 -.052 -.18 .002 +4129 -.087 -.172 .035 +4130 -.076 -.179 .008 +4131 -.103 -.147 .009 +4132 -.091 -.158 .012 +4133 .006 -.006 -.019 +4134 -.005 -.012 -.021 +4135 .008 -.114 -.009 +4136 .004 -.035 -.012 +4137 .003 -.077 -.008 +4138 -.018 -.162 .004 +4139 -.066 -.124 -.023 +4140 -.049 -.126 -.013 +4141 .04 -.063 -.059 +4142 -.009 -.107 -.016 +4143 -.056 -.127 -.014 +4144 -.013 -.12 .007 +4145 0 -.15 .019 +4146 -.012 -.144 .019 +4147 .021 -.145 .034 +4148 0 -.136 .087 +4149 -.019 -.12 .012 +4150 -.002 -.119 .018 +4151 .059 -.002 -.102 +4152 .004 -.134 .023 +4153 .101 -.038 -.093 +4154 0 -.003 -.133 +4155 .084 .008 -.117 +4156 .065 .002 -.089 +4157 .111 .012 -.161 +4158 .12 .005 -.161 +4159 .129 -.019 -.144 +4160 -.013 -.123 .005 +4161 -.022 -.133 .023 +4162 .004 .008 -.017 +4163 .008 .009 -.005 +4164 -.107 -.142 -.003 +4165 -.121 -.124 -.011 +4166 -.078 -.186 .016 +4167 -.109 -.174 .022 +4168 -.051 -.179 .013 +4169 -.037 -.169 .031 +4170 .002 -.085 .017 +4171 0 -.029 -.002 +4172 -.074 -.137 -.002 +4173 -.093 -.133 -.001 +4174 -.128 -.111 -.028 +4175 -.031 -.115 -.002 +4176 0 -.114 .008 +4177 .025 -.121 .028 +4178 .024 -.135 .036 +4179 .003 -.135 .029 +4180 .007 -.141 .026 +4181 0 -.136 .027 +4182 -.062 -.109 -.04 +4183 -.026 -.11 -.02 +4184 .013 -.114 .01 +4185 .03 -.133 .038 +4186 .023 -.149 .041 +4187 .007 -.119 .035 +4188 0 -.122 .058 +4189 -.071 -.095 -.05 +4190 -.049 -.105 -.044 +4191 -.018 -.114 -.027 +4192 .01 -.122 .015 +4193 .023 -.139 .035 +4194 .007 -.11 .046 +4195 0 -.099 .04 +4196 -.067 -.121 -.007 +4197 -.102 -.106 -.045 +4198 -.129 -.068 .003 +4199 -.037 -.095 .018 +4200 -.016 -.11 .022 +4201 -.005 -.119 .039 +4202 .022 -.111 .099 +4203 .021 -.101 .18 +4204 -.008 -.11 .197 +4205 0 -.106 .221 +4206 -.09 -.074 -.005 +4207 -.133 -.08 -.014 +4208 -.089 -.078 .016 +4209 -.02 -.096 .047 +4210 -.004 -.098 .06 +4211 -.008 -.109 .089 +4212 0 -.092 .165 +4213 .001 -.097 .196 +4214 -.048 -.07 .216 +4215 0 -.074 .211 +4216 -.063 -.064 .051 +4217 .022 -.016 .121 +4218 .014 -.051 .134 +4219 -.011 -.061 .155 +4220 -.025 -.055 .174 +4221 -.034 -.053 .19 +4222 -.03 -.027 .204 +4223 0 -.063 .132 +4224 -.049 -.081 .036 +4225 .016 -.03 .092 +4226 .061 .036 .137 +4227 .022 .025 .158 +4228 -.008 0 .201 +4229 -.036 -.011 .217 +4230 -.035 .007 .231 +4231 -.017 .034 .243 +4232 0 -.026 .171 +4233 .033 -.014 .112 +4234 .064 .011 .139 +4235 .074 .043 .133 +4236 .025 .055 .15 +4237 0 .035 .193 +4238 -.014 .021 .205 +4239 -.009 .04 .223 +4240 0 .053 .242 +4241 0 -.035 .171 +4242 .088 .018 .118 +4243 .075 .01 .113 +4244 .06 .034 .115 +4245 .014 .036 .126 +4246 .004 .01 .137 +4247 .008 .004 .169 +4248 .004 .028 .189 +4249 .015 .03 .198 +4250 0 -.091 .154 +4251 .103 .007 .108 +4252 .066 -.017 .116 +4253 .049 -.013 .102 +4254 .026 -.02 .124 +4255 .01 -.011 .137 +4256 .027 0 .154 +4257 .023 -.004 .158 +4258 .036 -.031 .153 +4259 0 -.134 .127 +4260 .097 -.009 .093 +4261 .03 -.041 .114 +4262 .048 -.046 .119 +4263 .029 -.022 .134 +4264 .02 -.053 .196 +4265 .032 -.032 .153 +4266 .045 -.065 .079 +4267 0 -.077 .039 +4268 .075 -.03 .123 +4269 -.089 -.085 -.008 +4270 -.11 -.08 -.006 +4271 -.113 -.126 0 +4272 -.101 -.107 -.007 +4273 -.096 -.131 .022 +4274 -.047 -.119 .064 +4275 -.097 -.042 -.021 +4276 -.131 -.036 -.011 +4277 -.099 -.081 -.003 +4278 -.088 -.059 -.02 +4279 -.104 -.08 .029 +4280 -.021 -.056 .064 +4281 -.065 -.016 .018 +4282 -.065 -.004 .024 +4283 -.027 -.011 -.011 +4284 -.024 -.012 -.003 +4285 -.074 -.025 -.006 +4286 -.002 -.021 .038 +4287 -.022 0 .047 +4288 -.006 .019 .107 +4289 -.003 .012 -.016 +4290 .008 .018 .007 +4291 0 .009 -.011 +4292 .022 -.008 .036 +4293 0 -.021 .041 +4294 .031 .02 .121 +4295 .007 -.012 -.009 +4296 .027 -.003 .008 +4297 -.001 -.019 -.011 +4298 .024 -.035 .051 +4299 .011 -.033 .025 +4300 .034 -.006 .085 +4301 .003 -.041 -.019 +4302 .021 -.031 -.013 +4303 -.009 -.047 -.012 +4304 .022 -.048 .052 +4305 .017 -.046 .014 +4306 .031 -.035 .074 +4307 -.01 -.05 -.031 +4308 .005 -.045 -.022 +4309 -.017 -.063 -.011 +4310 .017 -.054 .048 +4311 .021 -.063 .017 +4312 .018 -.057 .068 +4313 -.026 -.062 -.025 +4314 -.006 -.061 -.019 +4315 .02 .012 .018 +4316 .018 .013 -.003 +4317 0 .052 -.028 +4318 -.031 -.082 .033 +4319 .018 .04 -.015 +4320 .018 .041 -.036 +4321 -.019 -.036 .018 +4322 .008 .007 -.015 +4323 0 .078 -.074 +4324 .007 -.027 .023 +4325 .024 .066 -.074 +4326 .024 .059 -.055 +4327 .013 0 .005 +4328 .016 .034 -.039 +4329 0 .093 -.101 +4330 .029 -.006 0 +4331 .021 .095 -.123 +4332 .022 .085 -.093 +4333 .001 .003 .001 +4334 .015 .047 -.063 +4335 0 .09 -.135 +4336 .038 -.004 .005 +4337 .006 .112 -.139 +4338 .021 .084 -.125 +4339 .031 .003 -.019 +4340 .043 .039 -.093 +4341 0 .091 -.138 +4342 .035 -.027 .033 +4343 .002 .093 -.132 +4344 .031 .064 -.102 +4345 .039 -.005 -.017 +4346 .046 .026 -.079 +4347 0 .053 -.098 +4348 .042 -.031 .054 +4349 .021 .048 -.097 +4350 .048 .055 -.094 +4351 .035 -.009 .011 +4352 .035 .015 -.043 +4353 .041 -.033 .055 +4354 .031 .048 -.021 +4355 .035 -.01 .039 +4356 .02 .016 -.02 +4357 .017 .038 .003 +4358 .021 .076 -.068 +4359 .018 .101 -.104 +4360 .018 .102 -.136 +4361 .021 .09 -.133 +4362 .028 .048 -.1 +4363 .009 -.053 .006 +4364 .006 -.005 -.012 +4365 .016 .026 -.009 +4366 .015 .022 .001 +4367 0 .027 .002 +4368 .019 -.106 0 +4369 .014 .026 -.014 +4370 0 .051 -.022 +4371 .022 .048 -.01 +4372 0 .024 .02 +4373 .011 .021 .031 +4374 0 -.011 -.018 +4375 -.014 -.032 .039 +4376 0 -.111 .032 +4377 .024 -.081 .085 +4378 .034 .03 -.002 +4379 .011 .004 .03 +4380 -.02 0 .038 +4381 .015 -.025 .115 +4382 .042 .038 .02 +4383 .035 .026 .003 +4384 -.043 .086 .07 +4385 -.013 -.002 .179 +4386 .004 -.1 .07 +4387 0 -.091 .117 +4388 -.05 -.086 -.008 +4389 -.026 -.106 -.004 +4390 -.009 -.116 0 +4391 -.098 -.085 -.05 +4392 .003 -.114 .023 +4393 .027 -.115 .061 +4394 -.122 -.081 -.03 +4395 -.117 -.155 0 +4396 -.086 -.105 -.033 +4397 -.028 -.161 .027 +4398 -.073 -.175 .009 +4399 -.107 -.177 0 +4400 -.117 -.087 -.02 +4401 .01 -.07 .115 +4402 .063 -.06 .139 +4403 .011 -.079 .022 +4404 .009 -.074 .068 +4405 -.029 -.079 -.032 +4406 -.01 -.079 -.022 +4407 .038 -.01 .061 +4408 .03 .036 .018 +4409 .041 -.04 .057 +4410 .011 -.068 .052 +4411 .047 .032 .022 +4412 .053 .02 .025 +4413 -.021 .071 .083 +4414 -.007 .055 .211 +4415 .032 -.012 .079 +4416 .041 .032 .037 +4417 .033 -.044 .069 +4418 .015 -.071 .046 +4419 .059 .016 .082 +4420 .064 .01 .066 +4421 .013 .029 .085 +4422 .015 .03 .192 +4423 .06 .021 .068 +4424 .081 .006 .077 +4425 .037 .013 .088 +4426 .038 .003 .141 +4427 .005 -.028 .232 +4428 -.023 -.075 -.005 +4429 -.017 -.076 -.007 +4430 0 .016 .196 +4431 .029 -.003 .164 +4432 .046 -.067 .135 +4433 .036 -.052 .121 +4434 .024 .022 .028 +4435 .015 -.093 .147 +4436 .054 -.078 .169 +4437 .014 -.1 .036 +4438 .021 -.091 .084 +4439 -.021 -.094 -.04 +4440 -.007 -.098 -.028 +4441 .036 -.01 .086 +4442 .042 .036 .039 +4443 .035 -.048 .073 +4444 .021 -.074 .042 +4445 .063 .026 .052 +4446 .078 .006 .074 +4447 .042 .002 .073 +4448 .042 -.02 .104 +4449 -.004 -.085 -.002 +4450 .047 -.036 .128 +4451 .055 -.092 .134 +4452 .051 -.083 .102 +4453 .024 .028 .026 +4454 .036 -.104 .156 +4455 .05 -.094 .177 +4456 .028 -.114 .045 +4457 .04 -.103 .093 +4458 -.004 -.107 -.053 +4459 .004 -.115 -.035 +4460 .039 -.018 .087 +4461 .05 .035 .041 +4462 .034 -.057 .069 +4463 .016 -.079 .032 +4464 .07 .029 .041 +4465 .078 .001 .051 +4466 .047 -.007 .044 +4467 .045 -.037 .06 +4468 0 -.091 -.011 +4469 .058 -.066 .082 +4470 .073 -.109 .117 +4471 .069 -.106 .064 +4472 .026 .014 .043 +4473 .066 -.123 .14 +4474 .077 -.116 .164 +4475 .061 -.144 .043 +4476 .074 -.126 .087 +4477 .024 -.134 -.056 +4478 .042 -.141 -.04 +4479 .04 -.03 .089 +4480 .057 .028 .052 +4481 .043 -.077 .072 +4482 .031 -.098 .032 +4483 .075 .029 .024 +4484 .07 .002 .019 +4485 .055 -.025 .012 +4486 .063 -.057 .016 +4487 .018 -.111 -.01 +4488 .078 -.095 .032 +4489 .1 -.178 .071 +4490 .071 -.189 .02 +4491 .04 -.008 .076 +4492 .132 -.186 .072 +4493 .122 -.179 .091 +4494 .14 -.167 .021 +4495 .146 -.172 .043 +4496 .105 -.141 -.024 +4497 .132 -.15 -.019 +4498 .051 -.036 .083 +4499 .054 .016 .054 +4500 .067 -.097 .057 +4501 .091 -.113 .04 +4502 .07 .019 -.023 +4503 .043 0 -.019 +4504 .033 -.047 -.025 +4505 .035 -.105 -.029 +4506 .094 -.118 .018 +4507 .024 -.153 -.048 +4508 .108 -.164 .084 +4509 .105 -.188 .025 +4510 .027 0 .07 +4511 .147 -.178 .057 +4512 .139 -.171 .077 +4513 .161 -.155 .017 +4514 .174 -.16 .029 +4515 .158 -.104 .019 +4516 .163 -.12 .019 +4517 .062 -.036 .058 +4518 .037 .006 .044 +4519 .098 -.093 .019 +4520 .151 -.091 .012 +4521 .06 0 -.007 +4522 .031 0 .016 +4523 .052 -.042 -.012 +4524 .048 -.097 -.019 +4525 .138 -.094 .012 +4526 .013 -.143 -.056 +4527 .115 -.118 .034 +4528 .136 -.119 .007 +4529 .031 -.016 .064 +4530 .138 -.136 .036 +4531 .134 -.126 .038 +4532 .172 -.098 .018 +4533 .168 -.121 .014 +4534 .139 -.055 .072 +4535 .158 -.082 .043 +4536 .06 -.04 .033 +4537 .022 -.025 .038 +4538 .107 -.059 -.002 +4539 .152 -.047 .015 +4540 .046 -.025 .031 +4541 .014 -.015 .052 +4542 .056 -.023 .008 +4543 .051 -.062 .004 +4544 .157 -.042 .049 +4545 .011 -.102 -.047 +4546 .107 -.08 .032 +4547 .109 -.082 .012 +4548 .031 -.027 -.005 +4549 .125 -.087 .024 +4550 .136 -.081 .018 +4551 .152 -.068 .027 +4552 .147 -.088 .023 +4553 .141 -.054 .05 +4554 .149 -.065 .026 +4555 .06 -.042 -.026 +4556 .016 -.021 .037 +4557 .108 -.04 -.013 +4558 .13 -.039 .008 +4559 .045 -.05 .079 +4560 .067 -.051 .061 +4561 .027 -.003 .012 +4562 .018 -.034 .015 +4563 .138 -.048 .049 +4564 .012 -.061 -.029 +4565 .093 -.071 .041 +4566 .073 -.077 .012 +4567 .024 -.028 -.071 +4568 .134 -.035 .01 +4569 .137 -.052 .02 +4570 .15 -.054 .029 +4571 .142 -.067 .02 +4572 .126 -.038 .021 +4573 .139 -.044 .022 +4574 .04 -.031 -.073 +4575 .052 -.049 -.037 +4576 .07 -.027 -.043 +4577 .081 -.025 -.035 +4578 .081 -.073 .044 +4579 .125 -.069 .088 +4580 .022 -.002 .016 +4581 -.008 -.019 .004 +4582 .092 -.03 .005 +4583 -.04 -.044 -.036 +4584 .089 -.053 .039 +4585 .066 -.079 .006 +4586 .053 -.056 -.117 +4587 .187 -.037 -.01 +4588 .143 -.043 .023 +4589 .16 -.007 -.003 +4590 .171 -.018 .008 +4591 .067 -.023 0 +4592 .127 -.008 -.022 +4593 .037 -.012 -.13 +4594 .063 -.082 -.065 +4595 .041 -.005 -.063 +4596 .036 -.014 -.047 +4597 .089 -.091 .058 +4598 .145 -.066 .133 +4599 .043 -.008 .005 +4600 .001 -.014 -.025 +4601 .038 -.006 -.007 +4602 -.046 -.032 -.054 +4603 .085 -.041 .005 +4604 .06 -.058 -.015 +4605 .068 -.049 -.118 +4606 .18 -.021 -.003 +4607 .137 -.034 .01 +4608 .129 .019 -.047 +4609 .172 0 -.001 +4610 .009 .008 -.047 +4611 .076 .004 -.045 +4612 .043 -.004 -.178 +4613 .105 -.1 -.055 +4614 .047 .005 -.113 +4615 .045 -.013 -.108 +4616 .089 -.112 .015 +4617 .122 -.071 .103 +4618 .052 -.008 -.017 +4619 .041 -.017 -.06 +4620 .024 -.02 -.06 +4621 .031 0 -.078 +4622 .065 -.027 -.02 +4623 .052 -.021 -.066 +4624 .004 -.031 -.053 +4625 .171 -.003 .003 +4626 .115 -.016 .004 +4627 .097 .033 -.046 +4628 .162 .022 .009 +4629 .004 .015 -.06 +4630 .03 .026 -.077 +4631 .023 -.011 -.149 +4632 .052 -.09 .013 +4633 .039 .019 -.164 +4634 .048 .002 -.115 +4635 .085 -.102 .083 +4636 .07 -.051 .022 +4637 .043 0 -.055 +4638 .026 -.015 -.115 +4639 .02 .005 -.092 +4640 .055 -.01 -.073 +4641 .077 -.056 .014 +4642 .042 -.014 0 +4643 -.03 -.003 .02 +4644 .172 -.057 .004 +4645 .127 -.07 -.002 +4646 .125 0 -.043 +4647 .172 -.023 -.002 +4648 .036 0 -.074 +4649 .053 .01 -.081 +4650 -.003 -.004 -.063 +4651 .035 -.038 .086 +4652 .057 .004 -.164 +4653 .059 -.003 -.133 +4654 .053 -.049 .099 +4655 .023 .002 .003 +4656 .033 -.005 -.023 +4657 .001 .007 -.062 +4658 .029 -.003 -.109 +4659 .037 -.018 -.02 +4660 .082 -.002 .065 +4661 .041 .002 .065 +4662 -.035 -.037 -.011 +4663 .151 -.024 .033 +4664 .124 -.025 .029 +4665 .151 .004 -.025 +4666 .175 -.012 .016 +4667 .079 -.009 -.056 +4668 .092 .013 -.064 +4669 -.028 -.035 -.062 +4670 .032 -.05 .006 +4671 .021 -.029 -.122 +4672 .054 -.018 -.114 +4673 .014 -.029 .038 +4674 .012 0 -.06 +4675 -.034 .035 -.078 +4676 -.062 .04 -.062 +4677 .056 -.005 -.101 +4678 -.015 .015 0 +4679 .068 .007 .051 +4680 .026 -.005 .055 +4681 .008 -.046 -.009 +4682 .147 -.026 .026 +4683 .121 -.014 .031 +4684 .148 -.013 -.015 +4685 .145 -.019 .051 +4686 .079 -.024 -.031 +4687 .106 0 -.047 +4688 -.011 -.051 -.043 +4689 .018 -.031 -.029 +4690 .003 -.051 -.076 +4691 .047 -.039 -.083 +4692 -.005 -.02 -.047 +4693 0 -.017 -.109 +4694 -.091 .064 -.096 +4695 -.097 .057 -.065 +4696 .05 -.016 -.074 +4697 -.03 .016 -.004 +4698 .052 -.028 .028 +4699 .035 -.047 .054 +4700 -.003 -.014 -.039 +4701 .132 -.069 .006 +4702 .101 -.044 .017 +4703 .128 -.042 -.015 +4704 .117 -.074 .021 +4705 .077 -.046 -.042 +4706 .104 -.027 -.035 +4707 -.008 -.021 -.05 +4708 .001 -.006 -.07 +4709 -.013 -.042 -.047 +4710 .013 -.059 -.042 +4711 -.013 -.012 -.102 +4712 -.053 .019 -.129 +4713 -.104 .038 -.112 +4714 -.098 .038 -.073 +4715 .041 -.058 -.073 +4716 -.025 -.004 -.021 +4717 .029 -.045 .019 +4718 -.005 -.027 .01 +4719 -.003 -.018 -.05 +4720 .068 -.095 .011 +4721 .063 -.065 .009 +4722 .081 -.081 -.004 +4723 .068 -.094 .009 +4724 .034 -.035 -.063 +4725 .08 -.028 -.046 +4726 -.004 -.023 -.03 +4727 -.008 -.028 -.107 +4728 -.003 -.026 -.023 +4729 0 -.033 -.019 +4730 -.022 -.043 -.136 +4731 -.043 -.022 -.128 +4732 -.083 .009 -.086 +4733 -.077 -.002 -.039 +4734 .004 -.008 -.058 +4735 -.004 -.01 -.019 +4736 .001 .01 -.006 +4737 -.005 -.007 -.016 +4738 .008 -.027 -.077 +4739 .05 -.035 .003 +4740 .014 -.006 .005 +4741 .055 -.048 -.039 +4742 .046 -.033 -.01 +4743 -.005 -.02 -.078 +4744 .02 -.003 -.079 +4745 .008 -.028 -.048 +4746 -.028 -.036 -.127 +4747 .009 -.037 -.038 +4748 .008 -.044 -.052 +4749 -.006 -.025 -.137 +4750 -.033 -.037 -.113 +4751 -.035 -.024 -.064 +4752 -.042 .005 -.032 +4753 -.022 -.007 -.071 +4754 .014 -.012 -.008 +4755 -.006 .018 .019 +4756 -.025 .021 .014 +4757 .007 -.014 -.076 +4758 .027 .009 .018 +4759 .006 .014 .025 +4760 .025 -.006 -.022 +4761 .037 .002 .004 +4762 -.016 -.013 -.044 +4763 -.013 -.011 -.039 +4764 .026 -.02 -.039 +4765 -.032 0 -.107 +4766 .013 -.021 -.031 +4767 -.01 -.021 -.039 +4768 -.023 -.004 -.095 +4769 -.038 .005 -.092 +4770 -.033 .006 -.037 +4771 -.048 .019 -.003 +4772 -.021 -.014 -.053 +4773 -.031 .021 .007 +4774 -.035 .012 .093 +4775 -.069 .018 .077 +4776 -.015 0 -.048 +4777 .014 .005 .066 +4778 .004 .008 .079 +4779 0 0 -.006 +4780 .017 0 .013 +4781 -.015 -.002 -.017 +4782 -.007 0 -.015 +4783 .002 -.003 -.036 +4784 -.044 .004 -.069 +4785 .002 -.006 -.023 +4786 0 -.004 -.02 +4787 -.051 .011 -.065 +4788 -.046 .017 -.051 +4789 -.062 .015 .001 +4790 -.046 .009 .019 +4791 -.012 -.003 -.012 +4792 -.049 .009 .037 +4798 .027 0 -.003 +4799 .008 0 0 +4800 .012 0 0 +4801 .007 -.002 0 +4803 -.056 .005 .091 +4804 -.055 .008 .046 +4805 -.024 0 -.038 +4806 .014 .002 .023 +4807 -.002 .003 .068 +4808 .004 0 0 +4809 .013 0 .01 +4810 -.015 0 .015 +4812 -.012 0 -.019 +4813 -.04 0 -.041 +4815 -.054 .002 -.032 +4816 -.059 .01 -.024 +4817 -.068 .018 -.004 +4818 -.062 .016 .008 +4819 -.007 0 .018 +4820 -.039 .009 .022 +4821 -.024 .013 .089 +4822 -.047 .01 .028 +4823 -.013 -.004 -.032 +4824 .016 .002 .016 +4825 .018 .012 .013 +4827 .017 0 .009 +4828 -.012 0 .01 +4830 -.002 0 -.022 +4831 -.021 -.006 -.029 +4832 .003 -.002 -.005 +4833 -.021 0 -.016 +4834 -.019 0 -.008 +4835 -.04 .003 0 +4836 -.044 .008 .007 +4837 -.003 0 .005 +4838 -.055 .013 .011 +4839 -.006 -.007 -.028 +4840 -.018 .006 .012 +4841 -.004 0 0 +4842 .002 -.006 -.015 +4843 -.005 -.006 -.024 +4845 -.004 0 -.006 +4846 -.01 .006 .016 +5544 0 0 .01 +6330 -.015 0 0 +6335 -.007 -.005 .039 +6359 0 -.002 .017 +6360 .007 .002 .004 +6361 .025 -.002 .019 +6363 .004 0 .002 +6364 -.016 .003 .024 +6365 -.056 .017 .022 +6366 -.015 0 .06 +6367 -.04 0 .01 +6368 .019 0 .029 +6375 -.002 -.017 .04 +6377 .013 -.004 .014 +6378 .01 -.003 .01 +6390 -.006 -.015 .03 +6392 -.008 .052 .041 +6393 .012 .058 .042 +6394 .036 .022 .059 +6395 .054 .016 .076 +6396 .059 .011 .076 +6397 .061 .002 .054 +6398 .066 -.012 .022 +6399 .038 -.014 -.015 +6400 .042 -.005 .007 +6401 .031 0 .037 +6402 .05 -.009 .03 +6403 .072 -.023 .05 +6404 .065 -.024 .047 +6405 .048 -.02 .026 +6406 .018 -.009 -.039 +6407 .034 .008 -.04 +6408 .012 0 -.086 +6409 -.06 -.006 -.128 +6410 -.079 .006 -.141 +6411 -.059 -.013 -.12 +6412 -.031 -.042 -.074 +6413 -.043 .006 -.057 +6414 -.049 .011 -.022 +6415 .011 .002 0 +6416 -.065 .014 -.015 +6417 -.035 0 -.006 +6431 0 -.007 .03 +6432 .003 0 0 +6736 .052 .024 .045 +6737 .071 .031 -.005 +6738 .065 -.006 -.013 +6739 .055 -.022 -.006 +6740 .042 -.047 -.022 +6741 .057 -.088 -.021 +6742 .053 -.124 -.026 +6743 .067 -.148 .031 +6744 .087 -.15 .081 +6745 .1 -.157 .121 +6746 .105 -.174 .111 +6747 .123 -.173 .07 +6748 .115 -.184 .03 +6749 .089 -.173 -.03 +6750 .066 -.156 -.047 +6751 .054 -.123 .004 +6752 .055 -.099 .039 +6753 .054 -.075 .074 +6754 .045 -.02 .088 +6755 .031 .003 .048 +7479 -.011 -.018 -.002 +7492 0 .002 0 +7493 -.007 -.003 -.005 +7497 0 0 -.002 +7498 0 .002 .002 +7511 .002 .014 .01 +7516 0 0 .002 +7518 0 0 .002 +7519 0 0 .002 +7520 0 0 .002 +7522 0 0 .002 +7523 .002 .019 .029 +7524 .001 .018 .005 +7525 .002 .015 .021 +7527 0 0 .002 +7532 -.019 -.02 .003 +7533 -.027 -.041 .003 +7536 -.011 -.004 .006 +7537 -.009 -.005 .007 +7538 -.025 -.017 .004 +7539 -.021 -.035 .008 +7541 .005 0 .007 +7542 -.004 -.005 .011 +7543 -.006 -.012 .014 +7544 -.022 -.019 .01 +7545 -.027 -.04 .018 +7546 .007 -.002 -.007 +7547 .013 -.005 .009 +7548 .003 -.006 .014 +7549 .005 -.018 .022 +7550 -.02 -.015 .014 +7551 -.032 -.036 .028 +7552 .007 0 -.005 +7553 .005 -.002 0 +7554 0 -.004 .011 +7555 .003 -.008 .015 +7556 -.018 -.009 .021 +7557 -.036 -.023 .04 +7558 .003 -.007 .002 +7559 .002 -.003 .002 +7560 .001 -.008 .01 +7561 .004 -.003 .011 +7562 -.003 -.003 .035 +7563 -.028 -.008 .056 +7632 0 0 -.003 +7633 0 0 .004 +7709 .002 .016 .048 +7711 0 -.005 .003 +7722 .013 -.02 0 +7723 0 -.009 .005 +7724 .018 .012 -.002 +7731 -.001 -.01 .004 +7732 .012 .006 .024 +7736 .001 -.007 .005 +7737 -.011 .011 .055 +7743 .015 -.014 .006 +7745 .001 -.008 -.001 +8047 -.006 .009 -.009 +8048 -.056 -.007 -.081 +8049 -.046 0 -.098 +8050 -.036 -.048 -.097 +8051 -.023 -.048 -.051 +8052 -.029 -.043 -.004 +8053 -.013 -.048 .015 +8054 -.025 -.057 .02 +8055 -.036 -.049 0 +8056 -.054 -.044 -.023 +8057 -.016 -.009 -.046 +8058 -.036 -.005 -.023 +8059 -.016 .014 -.008 +8060 -.052 -.047 -.083 +8061 -.053 -.045 -.06 +8062 -.057 -.051 -.042 +8063 -.052 -.037 -.015 +8064 -.056 -.021 .001 +8065 -.058 -.013 -.007 +8066 -.062 -.017 -.02 +8067 .014 .012 -.041 +8068 -.009 -.009 -.024 +8069 .059 .01 -.028 +8070 -.068 -.022 -.092 +8071 -.056 -.022 -.008 +8072 -.057 -.018 -.006 +8073 -.069 .002 -.003 +8074 -.073 .011 .002 +8075 -.074 .014 -.006 +8076 -.064 .011 -.014 +8077 -.016 -.044 -.096 +8078 -.016 -.047 -.077 +8079 -.02 -.051 -.057 +8080 -.046 -.016 -.047 +8081 -.02 -.007 .04 +8082 -.015 .004 .059 +8083 0 .029 .065 +8084 -.022 .031 .051 +8085 -.031 .031 .034 +8086 -.039 .023 .017 +8087 -.068 -.023 -.136 +8088 -.04 -.007 -.086 +8089 -.031 -.027 -.091 +8090 -.004 -.009 -.065 +8091 -.003 -.004 -.009 +8092 -.009 .008 -.004 +8093 -.011 .033 -.156 +8094 .033 .074 -.17 +8095 .012 .055 -.12 +8096 .023 -.016 -.074 +8097 .011 -.034 -.083 +8098 .001 -.042 -.05 +8099 -.016 -.048 -.033 +8100 -.04 0 -.011 +8101 -.067 .028 .003 +8102 .006 -.038 -.009 +8103 .038 .041 -.116 +8104 .066 .07 -.128 +8105 .097 .061 -.013 +8106 .084 .016 .069 +8107 .063 -.035 .107 +8108 .014 -.055 -.006 +8109 .019 -.044 -.001 +8110 .011 -.04 -.01 +8111 -.018 -.039 0 +8112 .015 -.037 .012 +8113 .062 .041 -.088 +8114 .079 .058 -.087 +8115 .094 .06 .029 +8116 .094 .013 .098 +8117 .084 -.044 .122 +8118 -.022 .007 -.006 +8119 -.066 -.011 -.113 +8120 -.04 .018 -.128 +8121 -.002 -.017 -.075 +8122 -.003 -.043 -.038 +8123 -.002 -.046 0 +8124 -.014 -.041 .03 +8125 -.026 -.047 .037 +8126 -.051 -.059 .005 +8127 -.095 -.059 -.005 +8128 -.004 -.019 -.015 +8129 .016 .034 -.153 +8130 .06 .079 -.165 +8131 .049 .068 -.073 +8132 .103 -.031 -.007 +8133 .019 -.029 -.029 +8134 -.008 -.012 -.031 +8135 -.019 0 -.041 +8136 -.021 .007 -.047 +8137 -.025 .015 -.034 +8138 -.052 -.008 -.035 +8139 -.006 .007 -.018 +8140 .059 .024 -.027 +8141 .028 -.021 -.058 +8142 -.039 -.028 -.071 +8143 -.045 .01 -.078 +8144 0 .002 -.052 +8145 .018 0 -.021 +8146 -.073 -.012 -.054 +8147 -.02 .005 -.083 +8148 0 .011 .021 +8149 .001 .004 .005 +8150 0 0 -.012 +8151 0 0 -.03 +8152 0 0 -.023 +8153 -.023 -.009 -.002 +8154 .001 .002 -.014 +8155 -.021 -.014 .014 +8156 -.043 -.032 .038 +8157 -.068 -.052 .057 +8158 .002 .007 .096 +8159 .043 .01 .103 +8160 .039 .018 .116 +8161 .001 0 .031 +8162 .025 .013 .124 +8163 0 .006 .124 +8164 -.053 -.065 .054 +8165 -.038 -.041 -.002 +8166 -.026 -.025 -.025 +8167 -.007 -.021 -.025 +8168 -.015 -.034 -.055 +8169 0 -.033 -.034 +8170 -.01 -.031 -.022 +8171 -.006 -.038 -.014 +8172 .006 -.04 .002 +8173 .004 -.049 .027 +8174 -.031 -.05 .043 +8175 -.045 -.037 .045 +8176 -.026 -.015 .041 +8177 .006 -.015 .026 +8178 -.022 -.009 .028 +8179 -.033 -.005 .059 +8180 -.003 -.003 .072 +8181 -.039 -.011 .061 +8182 -.04 -.027 .05 +8183 -.036 -.039 .043 +8184 -.006 -.037 .027 +8185 .002 -.042 .013 +8186 .005 .005 .124 +8187 -.015 -.043 .002 +8188 -.009 -.026 -.006 +8189 -.008 -.01 -.009 +8190 .01 .01 .132 +8191 .015 .014 .128 +8192 .002 .007 .108 +8193 0 -.002 .018 +8194 .002 .017 .032 +8195 0 0 .01 +8196 -.01 -.008 -.013 +8198 .002 .002 .049 +8199 0 0 -.011 +8200 .002 0 .021 +8201 0 0 -.025 +8202 .011 -.005 -.042 +8203 .031 -.011 -.057 +8204 .017 -.023 -.049 +8205 .003 .013 .067 +8206 .003 .006 .083 +8207 .002 0 .049 +8208 -.002 .016 .08 +8209 .02 .02 .13 +8210 .016 .014 .114 +8211 .011 .007 .09 +8212 -.011 .018 .062 +8213 .006 .027 .085 +8214 .014 .034 .107 +8215 .032 .032 .112 +8216 .008 .008 .118 +8217 -.02 0 -.038 +8218 .006 .011 -.034 +8219 -.023 -.014 0 +8220 -.046 -.056 .06 +8221 -.05 -.065 .075 +8222 -.063 -.055 .046 +8223 -.065 -.056 -.006 +8224 -.044 -.044 .001 +8225 -.031 -.028 .009 +8226 -.018 -.037 -.002 +8227 -.022 -.007 -.057 +8228 .011 0 -.049 +8229 0 .014 -.011 +8230 -.055 -.094 .078 +8231 -.051 -.09 .082 +8232 -.024 -.076 .062 +8233 -.013 -.04 .01 +8234 .019 .01 -.005 +8235 .046 .026 -.002 +8236 .056 .018 -.013 +8237 -.004 -.085 .049 +8238 -.038 -.105 .022 +8239 -.024 -.153 .013 +8240 -.042 -.284 .076 +8241 -.06 -.294 .111 +8242 -.068 -.322 .111 +8243 -.051 -.105 .079 +8244 -.032 -.094 .05 +8245 0 -.126 .024 +8246 -.02 -.294 .107 +8247 -.034 -.337 .131 +8248 -.037 -.357 .12 +8249 -.05 -.121 .086 +8250 0 -.089 .08 +8251 .041 -.118 .031 +8252 .021 -.298 .058 +8253 .005 -.333 .073 +8254 0 -.357 .063 +8255 0 -.031 -.057 +8256 .019 -.052 -.09 +8257 .075 -.09 -.134 +8258 .065 -.279 -.086 +8259 .039 -.301 -.048 +8260 .029 -.329 -.053 +8261 -.007 -.029 -.092 +8262 .05 -.043 -.132 +8263 .072 -.083 -.158 +8264 .062 -.235 -.134 +8265 .055 -.27 -.117 +8266 .04 -.296 -.103 +8267 .013 -.04 -.065 +8268 .016 -.043 -.079 +8269 .019 -.075 -.097 +8270 .019 -.186 -.104 +8271 .019 -.211 -.095 +8272 .018 -.243 -.075 +8273 .004 -.017 -.007 +8274 .036 0 -.026 +8275 .045 .004 .014 +8276 .019 .007 -.006 +8277 .021 -.029 .011 +8278 .046 .012 -.009 +8279 .076 .02 .022 +8280 .017 .018 .004 +8281 .016 -.055 0 +8282 .024 -.123 0 +8283 .037 -.158 -.026 +8284 -.045 -.199 .086 +8285 -.08 -.206 .095 +8286 -.088 -.227 .096 +8287 .078 -.013 0 +8288 .1 .023 0 +8289 .099 .036 .019 +8290 .024 .028 .011 +8291 .074 -.068 -.019 +8292 .054 -.111 -.048 +8293 0 -.166 0 +8294 -.004 -.169 .014 +8295 -.016 -.137 0 +8296 -.043 -.161 .046 +8297 .168 .002 -.01 +8298 .142 .026 .013 +8299 .099 .014 .029 +8300 .035 -.008 .02 +8301 .126 -.039 -.038 +8302 .079 -.066 -.065 +8303 .009 -.136 .006 +8304 .023 -.121 .013 +8305 .048 -.147 .011 +8306 .04 -.112 -.008 +8307 .168 -.016 0 +8308 .163 -.002 .012 +8309 .101 -.046 .02 +8310 .041 -.047 .007 +8311 .146 -.037 -.028 +8312 .096 -.046 -.054 +8313 .058 -.122 .032 +8314 .081 -.112 .032 +8315 .108 -.105 .021 +8316 .164 -.053 .028 +8317 .154 -.053 .02 +8318 .088 -.066 .014 +8319 .035 -.061 .005 +8320 .151 -.045 .011 +8321 .12 -.041 -.024 +8322 .047 -.072 .028 +8323 .066 -.072 .021 +8324 .054 -.052 .042 +8325 .024 -.044 .014 +8326 .154 -.076 .056 +8327 .131 -.074 .054 +8328 .07 -.06 .023 +8329 .031 -.047 .01 +8330 .142 -.053 .032 +8331 .122 -.03 .005 +8332 .063 -.088 .014 +8333 .076 -.087 .011 +8334 .075 -.087 .054 +8335 .091 -.085 .052 +8336 .031 -.094 .012 +8337 .026 -.115 .026 +8338 0 -.152 .045 +8339 .064 -.084 -.069 +8340 .01 -.154 .009 +8341 .093 .05 .032 +8342 .019 .041 .023 +8343 .112 .044 .004 +8344 .132 0 -.008 +8345 .105 -.052 -.045 +8346 -.002 .049 -.137 +8347 -.046 .014 -.13 +8348 -.033 .04 .002 +8349 0 -.054 0 +8350 .024 -.056 0 +8351 .023 -.05 -.035 +8352 .015 0 -.085 +8353 -.068 .011 -.058 +8354 -.081 -.026 .035 +8355 -.037 -.046 .024 +8356 -.007 -.065 .007 +8357 .045 -.102 -.073 +8358 .075 -.065 -.055 +8359 .106 -.056 -.033 +8360 .105 -.037 -.021 +8361 .035 -.127 -.064 +8362 -.012 -.117 .026 +8363 -.075 -.289 .101 +8364 -.08 -.266 .107 +8365 -.07 -.229 .067 +8366 -.013 -.003 .045 +8367 .073 .04 -.039 +8368 .085 .045 -.05 +8369 .1 .035 .024 +8370 .111 0 .07 +8371 .089 -.06 .079 +8372 .001 .025 .022 +8373 .102 0 .051 +8374 .085 -.016 .071 +8375 .028 -.033 .048 +8376 -.001 -.023 .046 +8377 .106 .006 .02 +8378 .09 .004 -.012 +8379 .055 -.111 -.007 +8380 .06 -.114 -.009 +8381 .068 -.116 .057 +8382 .084 -.006 -.028 +8383 -.032 .043 .078 +8384 .028 .071 -.01 +8385 .04 .074 -.02 +8386 .061 .033 .03 +8387 .065 .011 .076 +8388 .052 -.044 .032 +8389 -.011 .056 .031 +8390 .072 .105 .064 +8391 .052 .089 .086 +8392 .017 .062 .086 +8393 -.008 .036 .082 +8394 .061 .083 .032 +8395 .05 .061 -.003 +8396 .026 -.104 -.019 +8397 .032 -.105 -.02 +8398 .034 -.086 .018 +8399 .056 .03 -.028 +8400 -.031 .036 .099 +8401 -.001 .062 .014 +8402 .005 .083 -.013 +8403 .015 .041 .044 +8404 .021 .012 .063 +8405 .016 -.021 .06 +8406 -.027 .032 .046 +8407 .043 .094 .08 +8408 .048 .091 .093 +8409 .022 .081 .094 +8410 -.003 .063 .092 +8411 .046 .083 .063 +8412 .029 .059 .023 +8413 -.014 -.074 .018 +8414 -.003 -.067 .03 +8415 .008 -.046 .056 +8416 .028 .03 0 +8417 -.06 .013 .078 +8418 -.008 .028 -.007 +8419 -.015 .032 0 +8420 0 .033 .057 +8421 -.009 .021 .074 +8422 -.007 -.008 .082 +8423 -.061 .009 .029 +8424 .046 .072 .061 +8425 .04 .066 .075 +8426 .004 .055 .091 +8427 -.033 .052 .095 +8428 .028 .05 .045 +8429 .014 .039 .028 +8430 -.004 -.024 .051 +8431 -.006 -.026 .068 +8432 0 -.021 .087 +8433 .029 .026 .022 +8434 -.051 -.02 -.085 +8435 -.051 -.022 -.082 +8436 -.053 -.024 -.08 +8437 -.055 -.025 -.08 +8438 -.053 -.03 -.084 +8439 -.054 -.034 -.086 +8440 -.055 -.033 -.09 +8441 -.053 -.031 -.095 +8442 -.051 -.03 -.094 +8443 -.051 -.03 -.097 +8444 -.05 -.032 -.098 +8445 -.046 -.03 -.099 +8446 -.049 -.028 -.095 +8447 -.047 -.027 -.091 +8448 -.049 -.02 -.085 +8449 -.05 -.022 -.082 +8450 -.052 -.021 -.088 +8451 -.049 -.022 -.087 +8452 -.05 -.026 -.086 +8453 -.053 -.024 -.086 +8454 -.052 -.03 -.088 +8455 -.053 -.033 -.09 +8456 -.054 -.037 -.086 +8457 -.053 -.036 -.087 +8458 -.056 -.034 -.089 +8459 -.052 -.034 -.089 +8460 -.049 -.029 -.09 +8461 -.047 -.028 -.089 +8462 -.049 -.026 -.089 +8463 -.047 -.022 -.088 +8464 -.047 -.02 -.086 +8465 -.049 -.019 -.084 +8466 -.057 -.021 -.075 +8467 -.057 -.023 -.072 +8468 -.05 -.026 -.072 +8469 -.054 -.028 -.075 +8470 -.054 -.028 -.078 +8471 -.054 -.034 -.084 +8472 -.054 -.034 -.09 +8473 -.051 -.03 -.096 +8474 -.047 -.028 -.106 +8475 -.049 -.027 -.11 +8476 -.05 -.024 -.113 +8477 -.047 -.024 -.108 +8478 -.045 -.022 -.099 +8479 -.045 -.026 -.093 +8480 -.052 -.023 -.084 +8481 -.053 -.021 -.075 +8482 -.06 -.022 -.061 +8483 -.056 -.02 -.059 +8484 -.05 -.025 -.062 +8485 -.049 -.028 -.068 +8486 -.056 -.03 -.073 +8487 -.053 -.03 -.081 +8488 -.051 -.028 -.09 +8489 -.044 -.027 -.101 +8490 -.047 -.022 -.111 +8491 -.05 -.025 -.124 +8492 -.048 -.027 -.133 +8493 -.047 -.023 -.121 +8494 -.046 -.025 -.105 +8495 -.049 -.026 -.092 +8496 -.052 -.027 -.079 +8497 -.058 -.021 -.065 +8498 -.069 -.009 -.043 +8499 -.058 -.009 -.036 +8500 -.048 -.014 -.032 +8501 -.041 -.026 -.034 +8502 -.038 -.035 -.038 +8503 -.044 -.047 -.058 +8504 -.036 -.043 -.082 +8505 -.031 -.039 -.116 +8506 -.038 -.039 -.144 +8507 -.05 -.05 -.17 +8508 -.065 -.061 -.171 +8509 -.07 -.057 -.138 +8510 -.075 -.046 -.092 +8511 -.075 -.038 -.074 +8512 -.066 -.032 -.065 +8513 -.068 -.019 -.051 +8514 -.07 -.003 -.037 +8515 -.054 0 -.021 +8516 -.04 -.011 -.012 +8517 -.031 -.026 -.007 +8518 -.025 -.04 -.007 +8519 -.032 -.058 -.028 +8520 -.023 -.057 -.075 +8521 -.024 -.049 -.142 +8522 -.042 -.046 -.179 +8523 -.069 -.056 -.2 +8524 -.092 -.069 -.183 +8525 -.099 -.069 -.131 +8526 -.096 -.062 -.08 +8527 -.09 -.051 -.066 +8528 -.08 -.043 -.053 +8529 -.073 -.024 -.041 +8530 -.07 .003 -.023 +8531 -.043 .01 -.003 +8532 -.026 -.002 .025 +8533 -.009 -.018 .046 +8534 -.015 -.046 .023 +8535 -.012 -.065 .005 +8536 -.011 -.054 -.057 +8537 -.029 -.035 -.166 +8538 -.072 -.021 -.204 +8539 -.112 -.015 -.219 +8540 -.135 -.019 -.169 +8541 -.121 -.047 -.101 +8542 -.112 -.054 -.044 +8543 -.11 -.058 -.04 +8544 -.08 -.049 -.044 +8545 -.077 -.023 -.032 +8546 -.063 -.02 -.057 +8547 -.058 -.027 -.071 +8548 -.047 -.031 -.142 +8549 -.042 -.022 -.121 +8550 -.066 -.016 -.052 +8551 -.055 -.035 -.152 +8552 -.058 -.014 -.047 +8553 -.049 -.032 -.134 +8554 -.049 -.039 -.073 +8555 -.048 -.034 -.061 +8556 -.051 -.019 -.048 +8557 -.051 -.029 -.104 +8558 -.045 -.031 -.087 +8559 -.048 -.027 -.054 +8560 -.057 -.026 -.086 +8561 -.041 -.03 -.105 +8562 .026 -.004 .081 +8563 .006 -.047 .049 +8564 .009 -.084 .027 +8565 -.005 -.084 -.025 +9979 -.078 -.007 .044 +9980 -.052 -.001 -.053 +9981 -.036 .004 -.028 +9982 -.019 .011 .036 +9983 -.022 .033 .068 +9984 0 .014 .081 +9985 -.09 -.022 -.014 +9986 .016 .045 .045 +9987 .024 .049 .054 +9988 .008 .047 .076 +9989 -.034 .038 .078 +9990 .004 .022 .023 +9991 -.009 .018 .027 +9992 -.009 -.009 .072 +9993 -.008 -.009 .078 +9994 0 0 .068 +9995 .006 .013 .044 +9996 -.079 -.016 .016 +9997 -.071 -.035 -.092 +9998 -.06 -.028 -.092 +9999 -.03 .002 .017 +10000 -.016 .02 .056 +10001 .009 .015 .073 +10002 -.091 -.035 -.037 +10003 -.006 .04 .033 +10004 .009 .055 .038 +10005 -.005 .048 .058 +10006 -.04 .029 .057 +10007 -.008 .018 .017 +10008 -.045 .017 .022 +10009 -.021 -.016 .099 +10010 -.009 -.012 .105 +10011 .004 0 .087 +10012 -.036 .014 .03 +10013 -.068 -.032 .005 +10014 -.048 -.043 -.085 +10015 -.048 -.044 -.108 +10016 -.026 -.006 -.001 +10017 -.005 .001 .041 +10018 .023 .002 .07 +10019 -.072 -.048 -.044 +10020 -.002 .036 .026 +10021 .014 .043 .03 +10022 .001 .033 .043 +10023 -.033 .009 .046 +10024 -.016 .01 .021 +10025 -.045 .01 .034 +10026 -.01 -.029 .127 +10027 .003 -.026 .139 +10028 .025 -.009 .121 +10029 -.033 0 .018 +10030 -.059 -.049 .009 +10031 -.038 -.044 -.059 +10032 -.048 -.045 -.075 +10033 -.026 -.024 -.011 +10034 .001 -.016 .041 +10035 .024 -.019 .084 +10036 -.061 -.063 -.036 +10037 .003 .023 .029 +10038 .017 .027 .035 +10039 .013 .019 .038 +10040 -.025 -.008 .053 +10041 -.009 .006 .022 +10042 -.03 -.017 .025 +10043 -.015 -.071 .126 +10044 -.008 -.066 .142 +10045 .017 -.045 .133 +10046 -.024 -.033 -.002 +10047 -.05 -.074 .032 +10048 -.046 -.066 -.038 +10049 -.053 -.065 -.038 +10050 -.016 -.04 -.001 +10051 .002 -.026 .065 +10052 .014 -.032 .114 +10053 -.061 -.076 -.01 +10054 .031 .016 .029 +10055 .034 .018 .043 +10056 .03 .011 .05 +10057 -.01 -.03 .08 +10058 .021 .003 .003 +10059 -.015 -.033 .008 +10060 -.025 -.075 .119 +10061 -.019 -.076 .154 +10062 -.001 -.062 .157 +10063 -.013 -.052 -.021 +10064 -.052 -.09 .053 +10065 -.062 -.1 -.009 +10066 -.046 -.118 -.013 +10067 .025 -.067 .011 +10068 .039 -.028 .078 +10069 .03 -.02 .138 +10070 -.069 -.097 .011 +10071 .042 .005 .042 +10072 .037 .01 .052 +10073 .021 .006 .053 +10074 -.014 -.044 .087 +10075 .046 -.01 .014 +10076 .007 -.038 .007 +10077 -.021 -.094 .095 +10078 -.023 -.089 .155 +10079 -.013 -.046 .172 +10080 .018 -.053 .009 +10081 -.055 -.105 .065 +10082 -.055 -.155 .009 +10083 -.029 -.172 .002 +10084 .069 -.098 .014 +10085 .092 -.052 .079 +10086 .079 -.026 .133 +10087 -.063 -.121 .028 +10088 .043 .01 .027 +10089 .03 .012 .047 +10090 .001 -.002 .058 +10091 -.034 -.058 .09 +10092 .026 -.016 .018 +10093 .027 -.03 .011 +10094 -.009 -.094 .097 +10095 -.004 -.086 .14 +10096 .022 -.049 .157 +10097 .032 -.046 .015 +10098 -.061 -.101 .033 +10099 -.041 -.127 -.012 +10100 -.024 -.144 -.005 +10101 .064 -.07 -.009 +10102 .082 -.025 .036 +10103 .07 -.003 .08 +10104 -.053 -.117 .002 +10105 .022 .003 .005 +10106 .011 .012 .013 +10107 -.011 -.009 .035 +10108 -.047 -.056 .056 +10109 .016 -.001 .011 +10110 .02 -.029 -.006 +10111 -.012 -.067 .081 +10112 -.006 -.045 .114 +10113 .022 -.019 .11 +10114 .027 -.037 -.011 +10115 -.075 -.069 -.02 +10116 -.048 -.071 -.033 +10117 -.041 -.078 -.026 +10118 .056 -.039 -.053 +10119 .064 -.008 -.025 +10120 .051 .01 .021 +10121 -.054 -.08 -.039 +10122 .009 .01 .002 +10123 -.009 .002 .005 +10124 -.037 -.012 .019 +10125 -.073 -.037 .011 +10126 .007 .018 .009 +10127 .023 -.015 -.025 +10128 -.018 -.033 .071 +10129 -.008 -.007 .08 +10130 .019 .003 .055 +10131 .04 -.026 -.046 +10132 -.084 -.033 -.073 +10133 -.058 -.029 -.083 +10134 -.046 -.02 -.076 +10135 .061 -.001 -.1 +10136 .069 .016 -.08 +10137 .055 .033 -.04 +10138 -.065 -.031 -.084 +10139 -.037 .032 .02 +10140 -.059 .014 .004 +10141 -.077 -.005 -.006 +10142 -.085 -.02 -.043 +10143 -.026 .033 .012 +10144 -.012 .017 -.002 +10145 .013 .015 .004 +10146 .017 .022 .002 +10147 .041 .035 -.017 +10148 .024 -.014 -.033 +10149 -.057 -.016 -.062 +10150 -.043 -.014 -.067 +10151 -.035 0 -.078 +10152 .042 .009 -.088 +10153 .054 .028 -.086 +10154 .053 .048 -.055 +10155 -.043 -.018 -.059 +10156 -.052 .008 .009 +10157 -.062 0 .002 +10158 -.068 -.007 -.007 +10159 -.071 -.011 -.035 +10160 -.04 .011 .006 +10161 -.04 .018 -.007 +10162 .022 .035 -.031 +10163 .032 .046 -.036 +10164 .044 .052 -.041 +10165 0 .01 -.008 +10166 -.043 .014 -.064 +10167 -.035 .011 -.068 +10168 -.038 .017 -.088 +10169 .005 .037 -.093 +10170 .015 .041 -.085 +10171 .021 .05 -.072 +10172 -.035 .01 -.065 +10173 -.058 .009 -.026 +10174 -.054 .009 -.034 +10175 -.052 .009 -.045 +10176 -.05 .012 -.056 +10177 -.061 .01 -.02 +10178 -.052 .013 -.015 +10179 .009 .065 -.033 +10180 .018 .066 -.045 +10181 .025 .062 -.056 +10182 -.039 .022 -.021 +10183 -.017 .02 -.055 +10184 -.025 .023 -.054 +10185 -.028 .028 -.069 +10186 -.022 .036 -.063 +10187 -.02 .031 -.054 +10188 -.011 .033 -.054 +10189 -.018 .021 -.053 +10190 -.034 .006 -.034 +10191 -.024 .011 -.041 +10192 -.02 .014 -.049 +10193 -.02 .021 -.053 +10194 -.044 .003 -.025 +10195 -.044 .009 -.014 +10196 .017 .078 -.026 +10197 .016 .067 -.038 +10198 .006 .049 -.049 +10199 -.038 .024 -.01 +10200 -.009 .019 -.044 +10201 -.02 .016 -.044 +10202 -.035 .023 -.053 +10203 -.036 .039 -.022 +10204 -.035 .034 -.015 +10205 -.024 .033 -.025 +10206 -.012 .015 -.043 +10207 -.009 .017 -.034 +10208 -.003 .021 -.039 +10209 -.002 .022 -.045 +10210 -.002 .021 -.048 +10211 -.019 .011 -.025 +10212 -.028 .014 -.011 +10213 .025 .074 -.015 +10214 .02 .059 -.026 +10215 0 .042 -.031 +10216 -.036 .027 -.004 +10217 -.005 0 -.015 +10218 -.005 -.007 -.019 +10219 -.002 -.008 -.024 +10220 -.016 .025 .023 +10221 -.025 .025 .033 +10222 -.016 .018 .025 +10223 -.008 -.004 -.015 +10224 .01 .016 -.016 +10225 .012 .017 -.017 +10226 .008 .013 -.02 +10227 0 .007 -.019 +10228 .002 .011 -.012 +10229 -.007 .01 0 +10230 .04 .039 .01 +10231 .03 .029 .004 +10232 .008 .017 .006 +10233 -.025 .008 .014 +10234 0 -.014 -.004 +10235 .012 -.023 -.009 +10237 .003 -.017 -.008 +10238 0 -.007 .003 +10239 0 -.008 .004 +10240 -.002 -.009 .004 +10241 -.003 -.011 0 +10242 0 -.006 .003 +10243 0 -.015 .008 +10250 0 -.005 .003 +10348 .015 -.009 .028 +10349 .017 -.005 .017 +10350 .005 -.002 .037 +10351 .011 0 .01 +10352 -.021 -.004 .025 +10353 -.002 -.006 .013 +10354 0 -.003 -.004 +10355 0 0 -.006 +10356 0 0 .018 +10418 0 0 -.008 +10419 -.051 -.006 -.128 +10420 -.058 -.08 -.118 +10421 -.035 -.03 -.093 +10422 -.033 -.024 -.086 +10423 -.04 -.018 -.122 +10424 -.022 .002 -.109 +10425 .011 .035 -.136 +10426 .027 .078 -.167 +10427 .05 .081 -.135 +10428 .082 .071 -.088 +10429 .078 .063 -.041 +10430 .085 .038 -.019 +10431 .045 .055 -.014 +10432 .002 .07 -.003 +10433 -.013 .035 .021 +10434 -.034 -.005 0 +10435 -.016 .03 -.093 +10436 -.028 .035 -.071 +10437 -.037 .036 -.04 +10438 -.005 .012 0 +10439 -.013 .005 .016 +10440 -.002 .006 -.088 +10441 -.024 -.185 .024 +10442 .004 -.18 .028 +10443 .046 -.178 -.004 +10444 .078 -.16 -.129 +10445 .074 -.137 -.164 +10446 .024 -.117 -.103 +10447 -.004 -.194 .003 +10448 .031 -.099 -.07 +10449 .057 -.076 -.044 +10450 .089 -.066 -.031 +10451 .082 -.064 -.036 +10452 .015 -.137 -.057 +10453 -.026 -.214 .018 +10454 .067 -.043 -.041 +10455 .052 -.014 -.054 +10456 .019 -.012 -.02 +10457 .033 .006 .017 +10458 .019 0 .041 +10459 -.004 -.005 .059 +10460 -.01 -.024 .037 +10461 -.013 -.054 0 +10462 -.012 -.074 -.024 +10463 .022 -.062 .021 +10464 .024 -.056 .021 +10465 .025 -.042 -.002 +10466 .043 -.029 -.047 +10467 .029 -.018 -.039 +10468 .012 0 -.026 +10469 -.016 .031 -.025 +10470 -.021 .05 -.015 +10471 -.022 .052 -.006 +10472 -.003 .03 .016 +10473 0 -.002 .018 +10503 -.037 -.235 .043 +10504 0 -.24 .058 +10505 .039 -.241 .024 +10506 .071 -.217 -.112 +10507 .065 -.19 -.157 +10508 .019 -.152 -.109 +10509 -.047 -.225 .012 +10510 .007 -.121 -.035 +10511 .034 -.103 0 +10512 .053 -.079 -.006 +10513 .06 -.094 -.025 +10514 -.026 -.162 -.026 +10515 .036 -.095 -.029 +10516 .033 -.076 -.055 +10517 .006 -.05 -.025 +10518 .023 -.008 .03 +10520 .014 -.001 .051 +10521 -.004 -.008 .083 +10522 -.01 -.03 .082 +10523 -.013 -.062 .049 +10524 -.025 -.074 .017 +10525 .003 -.078 .043 +10526 .014 -.079 .04 +10527 .007 -.067 .021 +10528 .015 -.049 .003 +10529 .028 -.012 -.01 +10530 .028 .007 -.029 +10531 .003 .052 -.027 +10532 .007 .075 -.017 +10533 .012 .075 -.006 +10534 .026 .043 .019 +10536 -.069 -.239 .036 +10537 -.011 -.003 .036 +10539 -.01 -.082 -.046 +10540 -.009 -.039 -.093 +10541 .009 -.106 -.011 +10542 .016 -.133 -.003 +10543 -.017 -.099 -.021 +10544 -.034 -.068 -.047 +10545 -.035 -.043 -.067 +10546 -.033 -.021 -.072 +10547 -.025 -.001 -.046 +10548 0 .017 -.036 +10549 -.006 .011 -.032 +10550 -.003 .016 -.021 +10551 .007 .024 -.027 +10552 -.033 .035 .013 +10553 -.025 .035 .006 +10554 -.016 .015 -.005 +10555 -.037 .016 .009 +10556 -.022 .031 0 +10557 .039 .062 0 +10558 -.011 .007 -.03 +10559 -.014 .008 -.03 +10560 .029 .047 -.011 +10561 .006 .024 -.035 +10562 -.016 .016 -.033 +10563 .005 .031 -.013 +10564 .01 .027 -.031 +10565 -.022 .024 -.015 +10566 -.014 .039 .01 +10567 .026 .068 .01 +10568 0 .026 .026 +10569 -.028 .009 .02 +10570 -.007 .006 .005 +10571 0 0 -.004 +10572 .004 .002 -.004 +10573 .005 0 -.004 +10574 .004 0 -.004 +10575 0 -.004 -.003 +10576 -.004 -.008 -.001 +10577 -.005 -.012 -.004 +10578 -.002 -.017 -.01 +10579 0 -.015 -.013 +10580 .022 .015 .026 +10581 .033 .017 .015 +10582 .021 .013 .008 +10583 .004 .006 .013 +10584 -.018 .006 .034 +10585 -.03 .021 .031 +10586 -.019 .015 .015 +10588 -.079 .04 .016 +10589 -.06 -.031 .021 +10590 -.041 .044 -.019 +10591 -.05 -.343 .096 +10592 -.027 -.382 .102 +10593 .006 -.382 .035 +10594 .04 -.368 -.049 +10595 .043 -.333 -.085 +10596 .004 -.257 -.044 +10597 -.077 -.26 .096 +10598 -.061 -.176 .076 +10599 -.059 -.117 .072 +10600 -.054 -.307 .079 +10601 -.095 .046 .012 +10602 -.092 -.02 .051 +10603 -.071 .061 -.007 +10604 -.037 -.355 .083 +10605 -.006 -.396 .055 +10606 .021 -.4 -.008 +10607 .033 -.379 -.053 +10608 .043 -.34 -.065 +10609 0 -.267 -.026 +10610 -.07 -.239 .089 +10611 -.08 -.171 .107 +10612 -.091 -.108 .121 +10613 -.027 -.322 .11 +10614 -.115 .083 -.023 +10615 -.109 -.008 .072 +10616 -.095 .089 -.007 +10617 .015 -.335 .075 +10618 .019 -.375 .027 +10619 .033 -.38 -.012 +10620 .047 -.372 -.038 +10621 .05 -.339 -.047 +10622 .006 -.28 -.024 +10623 -.076 -.21 .104 +10624 -.093 -.15 .128 +10625 -.108 -.097 .158 +10626 -.041 -.271 .082 +10627 -.146 .119 -.061 +10628 -.096 -.013 .08 +10629 -.108 .07 -.009 +10630 .011 -.292 .038 +10631 .053 -.328 .027 +10632 .044 -.333 0 +10633 .054 -.329 -.018 +10634 .045 -.309 -.032 +10635 0 -.285 -.014 +10636 -.063 -.196 .111 +10637 -.086 -.138 .136 +10638 -.094 -.077 .131 +10639 -.033 -.225 .064 +10640 -.145 .126 -.082 +10641 -.097 -.012 .051 +10642 -.087 .045 -.019 +10643 .021 -.238 .023 +10644 .035 -.258 .002 +10645 .069 -.267 -.013 +10646 .062 -.262 -.033 +10647 .041 -.264 -.042 +10648 -.003 -.247 -.011 +10649 -.057 -.166 .089 +10650 -.082 -.118 .105 +10651 -.1 -.059 .094 +10652 -.018 -.204 .056 +10653 -.152 .16 -.093 +10654 -.096 .046 .014 +10655 -.082 .09 -.036 +10656 .007 -.147 .01 +10657 .032 -.169 -.007 +10658 .069 -.172 -.028 +10659 .067 -.169 -.051 +10660 .044 -.168 -.057 +10661 -.009 -.158 -.008 +10662 -.053 -.083 .071 +10663 -.083 -.048 .08 +10664 -.097 .006 .063 +10665 -.021 -.115 .036 +10666 -.103 .133 -.098 +10667 -.079 .026 .002 +10668 -.085 .072 -.039 +10669 -.004 -.103 .017 +10670 .029 -.121 -.007 +10671 .075 -.133 -.028 +10672 .07 -.14 -.046 +10673 .037 -.126 -.042 +10674 -.015 -.133 .019 +10675 -.053 -.058 .056 +10676 -.063 -.034 .055 +10677 -.074 -.006 .04 +10678 -.033 -.082 .039 +10679 -.082 .036 -.082 +10680 -.014 -.052 .002 +10681 -.045 -.022 -.02 +10682 .007 -.106 .005 +10683 .024 -.115 -.005 +10684 .057 -.134 -.014 +10685 .057 -.141 -.029 +10686 .027 -.132 -.016 +10687 -.024 -.133 .038 +10688 -.04 -.081 .04 +10689 -.018 -.073 .026 +10690 -.007 -.069 .016 +10691 -.017 -.091 .025 +10692 -.013 -.108 -.034 +10693 .09 -.149 -.019 +10694 .038 -.136 -.013 +10695 -.056 .008 -.116 +10696 .025 -.124 .003 +10697 .019 -.133 .005 +10698 .026 -.149 .003 +10699 .029 -.159 -.004 +10700 .019 -.147 .002 +10701 -.027 -.147 .043 +10702 -.022 -.008 -.078 +10703 .076 -.139 -.017 +10704 .09 -.142 -.026 +10705 .029 -.126 .001 +10706 .016 -.148 -.008 +10707 .091 -.159 .013 +10708 .066 -.159 -.005 +10709 -.032 -.004 -.081 +10710 .021 -.121 .013 +10711 0 -.12 .018 +10712 -.016 -.129 .022 +10713 -.012 -.146 .029 +10714 0 -.146 .025 +10715 -.018 -.145 .034 +10716 .083 -.144 -.007 +10717 .086 -.153 -.003 +10718 .046 -.126 .004 +10719 -.104 -.016 .029 +10720 -.12 -.014 .008 +10721 -.15 .003 -.038 +10722 -.19 .114 -.149 +10723 -.181 .036 -.12 +10724 -.106 .049 -.199 +10725 -.159 .084 -.235 +10726 -.08 -.06 -.106 +10727 -.074 .015 -.084 +10728 -.041 -.005 -.042 +10729 -.097 .023 -.072 +10730 -.13 .065 -.182 +10731 -.173 .096 -.224 +10732 -.151 .066 -.147 +10733 -.098 .033 -.093 +10734 -.021 .022 -.05 +10735 -.083 .044 -.083 +10736 -.123 .083 -.13 +10737 -.15 .119 -.168 +10738 -.164 .132 -.163 +10739 -.066 .022 -.051 +10740 -.065 .015 -.066 +10741 -.121 .054 -.126 +10742 -.149 .068 -.14 +10743 -.185 .112 -.222 +10744 -.029 .022 -.147 +10745 -.033 -.005 -.06 +10746 -.068 0 -.144 +10747 -.055 -.031 -.13 +10748 -.166 .075 -.192 +10749 -.068 .019 -.11 +10750 -.012 .013 -.071 +10751 -.182 .159 -.168 +10752 -.147 .146 -.142 +10753 -.134 .059 -.134 +10754 -.064 -.081 -.057 +10755 .045 -.133 -.002 +10756 -.007 -.009 -.022 +10757 -.007 -.009 -.009 +10758 -.014 .007 -.016 +10759 -.011 -.003 -.038 +10760 -.018 .001 -.027 +10761 -.023 .01 -.035 +10762 -.016 -.005 -.045 +10763 -.024 .007 -.057 +10764 -.026 .018 -.053 +10765 -.017 -.007 -.049 +10766 .007 -.016 -.026 +10767 -.043 -.089 -.059 +10768 -.019 -.02 -.063 +10769 -.016 -.054 -.065 +10770 -.034 -.117 -.019 +10771 .052 -.18 .002 +10772 .087 -.172 .035 +10773 .076 -.179 .008 +10774 .103 -.147 .009 +10775 .091 -.158 .012 +10776 -.006 -.006 -.019 +10777 .005 -.012 -.021 +10778 -.008 -.114 -.009 +10779 -.004 -.035 -.012 +10780 -.003 -.077 -.008 +10781 .018 -.162 .004 +10782 .066 -.124 -.023 +10783 .049 -.126 -.013 +10784 -.04 -.063 -.059 +10785 .009 -.107 -.016 +10786 .056 -.127 -.014 +10787 .013 -.12 .007 +10788 0 -.15 .019 +10789 .012 -.144 .019 +10790 -.021 -.145 .034 +10791 .019 -.12 .012 +10792 .002 -.119 .018 +10793 -.059 -.002 -.102 +10794 -.004 -.134 .023 +10795 -.101 -.038 -.093 +10796 -.084 .008 -.117 +10797 -.065 .002 -.089 +10798 -.111 .012 -.161 +10799 -.12 .005 -.161 +10800 -.129 -.019 -.144 +10801 .013 -.123 .005 +10802 .022 -.133 .023 +10803 -.004 .008 -.017 +10804 -.008 .009 -.005 +10805 .107 -.142 -.003 +10806 .121 -.124 -.011 +10807 .078 -.186 .016 +10808 .109 -.174 .022 +10809 .051 -.179 .013 +10810 .037 -.169 .031 +10811 -.002 -.085 .017 +10812 0 -.029 -.002 +10813 .074 -.137 -.002 +10814 .093 -.133 -.001 +10815 .128 -.111 -.028 +10816 .031 -.115 -.002 +10817 0 -.114 .008 +10818 -.025 -.121 .028 +10819 -.024 -.135 .036 +10820 -.003 -.135 .029 +10821 -.007 -.141 .026 +10822 .062 -.109 -.04 +10823 .026 -.11 -.02 +10824 -.013 -.114 .01 +10825 -.03 -.133 .038 +10826 -.023 -.149 .041 +10827 -.007 -.119 .035 +10828 .071 -.095 -.05 +10829 .049 -.105 -.044 +10830 .018 -.114 -.027 +10831 -.01 -.122 .015 +10832 -.023 -.139 .035 +10833 -.007 -.11 .046 +10834 .067 -.121 -.007 +10835 .102 -.106 -.045 +10836 .129 -.068 .003 +10837 .037 -.095 .018 +10838 .016 -.11 .022 +10839 .005 -.119 .039 +10840 -.022 -.111 .099 +10841 -.021 -.101 .18 +10842 .008 -.11 .197 +10843 .09 -.074 -.005 +10844 .133 -.08 -.014 +10845 .089 -.078 .016 +10846 .02 -.096 .047 +10847 .004 -.098 .06 +10848 .008 -.109 .089 +10849 0 -.092 .165 +10850 -.001 -.097 .196 +10851 .048 -.07 .216 +10852 .063 -.064 .051 +10853 -.022 -.016 .121 +10854 -.014 -.051 .134 +10855 .011 -.061 .155 +10856 .025 -.055 .174 +10857 .034 -.053 .19 +10858 .03 -.027 .204 +10859 .049 -.081 .036 +10860 -.016 -.03 .092 +10861 -.061 .036 .137 +10862 -.022 .025 .158 +10863 .008 0 .201 +10864 .036 -.011 .217 +10865 .035 .007 .231 +10866 .017 .034 .243 +10867 -.033 -.014 .112 +10868 -.064 .011 .139 +10869 -.074 .043 .133 +10870 -.025 .055 .15 +10871 0 .035 .193 +10872 .014 .021 .205 +10873 .009 .04 .223 +10874 0 .053 .242 +10875 -.088 .018 .118 +10876 -.075 .01 .113 +10877 -.06 .034 .115 +10878 -.014 .036 .126 +10879 -.004 .01 .137 +10880 -.008 .004 .169 +10881 -.004 .028 .189 +10882 -.015 .03 .198 +10883 -.103 .007 .108 +10884 -.066 -.017 .116 +10885 -.049 -.013 .102 +10886 -.026 -.02 .124 +10887 -.01 -.011 .137 +10888 -.027 0 .154 +10889 -.023 -.004 .158 +10890 -.036 -.031 .153 +10891 -.097 -.009 .093 +10892 -.03 -.041 .114 +10893 -.048 -.046 .119 +10894 -.029 -.022 .134 +10895 -.02 -.053 .196 +10896 -.032 -.032 .153 +10897 -.045 -.065 .079 +10898 -.075 -.03 .123 +10899 .089 -.085 -.008 +10900 .11 -.08 -.006 +10901 .113 -.126 0 +10902 .101 -.107 -.007 +10903 .096 -.131 .022 +10904 .047 -.119 .064 +10905 .097 -.042 -.021 +10906 .131 -.036 -.011 +10907 .099 -.081 -.003 +10908 .088 -.059 -.02 +10909 .104 -.08 .029 +10910 .021 -.056 .064 +10911 .065 -.016 .018 +10912 .065 -.004 .024 +10913 .027 -.011 -.011 +10914 .024 -.012 -.003 +10915 .074 -.025 -.006 +10916 .002 -.021 .038 +10917 .022 0 .047 +10918 .006 .019 .107 +10919 .003 .012 -.016 +10920 -.008 .018 .007 +10921 0 .009 -.011 +10922 -.022 -.008 .036 +10923 0 -.021 .041 +10924 -.031 .02 .121 +10925 -.007 -.012 -.009 +10926 -.027 -.003 .008 +10927 .001 -.019 -.011 +10928 -.024 -.035 .051 +10929 -.011 -.033 .025 +10930 -.034 -.006 .085 +10931 -.003 -.041 -.019 +10932 -.021 -.031 -.013 +10933 .009 -.047 -.012 +10934 -.022 -.048 .052 +10935 -.017 -.046 .014 +10936 -.031 -.035 .074 +10937 .01 -.05 -.031 +10938 -.005 -.045 -.022 +10939 .017 -.063 -.011 +10940 -.017 -.054 .048 +10941 -.021 -.063 .017 +10942 -.018 -.057 .068 +10943 .026 -.062 -.025 +10944 .006 -.061 -.019 +10945 -.02 .012 .018 +10946 -.018 .013 -.003 +10947 .031 -.082 .033 +10948 -.018 .04 -.015 +10949 -.018 .041 -.036 +10950 .019 -.036 .018 +10951 -.008 .007 -.015 +10952 -.007 -.027 .023 +10953 -.024 .066 -.074 +10954 -.024 .059 -.055 +10955 -.013 0 .005 +10956 -.016 .034 -.039 +10957 -.029 -.006 0 +10958 -.021 .095 -.123 +10959 -.022 .085 -.093 +10960 -.001 .003 .001 +10961 -.015 .047 -.063 +10962 -.038 -.004 .005 +10963 -.006 .112 -.139 +10964 -.021 .084 -.125 +10965 -.031 .003 -.019 +10966 -.043 .039 -.093 +10967 -.035 -.027 .033 +10968 -.002 .093 -.132 +10969 -.031 .064 -.102 +10970 -.039 -.005 -.017 +10971 -.046 .026 -.079 +10972 -.042 -.031 .054 +10973 -.021 .048 -.097 +10974 -.048 .055 -.094 +10975 -.035 -.009 .011 +10976 -.035 .015 -.043 +10977 -.041 -.033 .055 +10978 -.031 .048 -.021 +10979 -.035 -.01 .039 +10980 -.02 .016 -.02 +10981 -.017 .038 .003 +10982 -.021 .076 -.068 +10983 -.018 .101 -.104 +10984 -.018 .102 -.136 +10985 -.021 .09 -.133 +10986 -.028 .048 -.1 +10987 -.009 -.053 .006 +10988 -.006 -.005 -.012 +10989 -.016 .026 -.009 +10990 -.015 .022 .001 +10991 -.019 -.106 0 +10992 -.014 .026 -.014 +10993 -.022 .048 -.01 +10994 -.011 .021 .031 +10995 .014 -.032 .039 +10996 -.024 -.081 .085 +10997 -.034 .03 -.002 +10998 -.011 .004 .03 +10999 .02 0 .038 +11000 -.015 -.025 .115 +11001 -.042 .038 .02 +11002 -.035 .026 .003 +11003 .043 .086 .07 +11004 .013 -.002 .179 +11005 -.004 -.1 .07 +11006 .05 -.086 -.008 +11007 .026 -.106 -.004 +11008 .009 -.116 0 +11009 .098 -.085 -.05 +11010 -.003 -.114 .023 +11011 -.027 -.115 .061 +11012 .122 -.081 -.03 +11013 .117 -.155 0 +11014 .086 -.105 -.033 +11015 .028 -.161 .027 +11016 .073 -.175 .009 +11017 .107 -.177 0 +11018 .117 -.087 -.02 +11019 -.01 -.07 .115 +11020 -.063 -.06 .139 +11021 -.011 -.079 .022 +11022 -.009 -.074 .068 +11023 .029 -.079 -.032 +11024 .01 -.079 -.022 +11025 -.038 -.01 .061 +11026 -.03 .036 .018 +11027 -.041 -.04 .057 +11028 -.011 -.068 .052 +11029 -.047 .032 .022 +11030 -.053 .02 .025 +11031 .021 .071 .083 +11032 .007 .055 .211 +11033 -.032 -.012 .079 +11034 -.041 .032 .037 +11035 -.033 -.044 .069 +11036 -.015 -.071 .046 +11037 -.059 .016 .082 +11038 -.064 .01 .066 +11039 -.013 .029 .085 +11040 -.015 .03 .192 +11041 -.06 .021 .068 +11042 -.081 .006 .077 +11043 -.037 .013 .088 +11044 -.038 .003 .141 +11045 -.005 -.028 .232 +11046 .023 -.075 -.005 +11047 .017 -.076 -.007 +11048 0 .016 .196 +11049 -.029 -.003 .164 +11050 -.046 -.067 .135 +11051 -.036 -.052 .121 +11052 -.024 .022 .028 +11053 -.015 -.093 .147 +11054 -.054 -.078 .169 +11055 -.014 -.1 .036 +11056 -.021 -.091 .084 +11057 .021 -.094 -.04 +11058 .007 -.098 -.028 +11059 -.036 -.01 .086 +11060 -.042 .036 .039 +11061 -.035 -.048 .073 +11062 -.021 -.074 .042 +11063 -.063 .026 .052 +11064 -.078 .006 .074 +11065 -.042 .002 .073 +11066 -.042 -.02 .104 +11067 .004 -.085 -.002 +11068 -.047 -.036 .128 +11069 -.055 -.092 .134 +11070 -.051 -.083 .102 +11071 -.024 .028 .026 +11072 -.036 -.104 .156 +11073 -.05 -.094 .177 +11074 -.028 -.114 .045 +11075 -.04 -.103 .093 +11076 .004 -.107 -.053 +11077 -.004 -.115 -.035 +11078 -.039 -.018 .087 +11079 -.05 .035 .041 +11080 -.034 -.057 .069 +11081 -.016 -.079 .032 +11082 -.07 .029 .041 +11083 -.078 .001 .051 +11084 -.047 -.007 .044 +11085 -.045 -.037 .06 +11086 0 -.091 -.011 +11087 -.058 -.066 .082 +11088 -.073 -.109 .117 +11089 -.069 -.106 .064 +11090 -.026 .014 .043 +11091 -.066 -.123 .14 +11092 -.077 -.116 .164 +11093 -.061 -.144 .043 +11094 -.074 -.126 .087 +11095 -.024 -.134 -.056 +11096 -.042 -.141 -.04 +11097 -.04 -.03 .089 +11098 -.057 .028 .052 +11099 -.043 -.077 .072 +11100 -.031 -.098 .032 +11101 -.075 .029 .024 +11102 -.07 .002 .019 +11103 -.055 -.025 .012 +11104 -.063 -.057 .016 +11105 -.018 -.111 -.01 +11106 -.078 -.095 .032 +11107 -.1 -.178 .071 +11108 -.071 -.189 .02 +11109 -.04 -.008 .076 +11110 -.132 -.186 .072 +11111 -.122 -.179 .091 +11112 -.14 -.167 .021 +11113 -.146 -.172 .043 +11114 -.105 -.141 -.024 +11115 -.132 -.15 -.019 +11116 -.051 -.036 .083 +11117 -.054 .016 .054 +11118 -.067 -.097 .057 +11119 -.091 -.113 .04 +11120 -.07 .019 -.023 +11121 -.043 0 -.019 +11122 -.033 -.047 -.025 +11123 -.035 -.105 -.029 +11124 -.094 -.118 .018 +11125 -.024 -.153 -.048 +11126 -.108 -.164 .084 +11127 -.105 -.188 .025 +11128 -.027 0 .07 +11129 -.147 -.178 .057 +11130 -.139 -.171 .077 +11131 -.161 -.155 .017 +11132 -.174 -.16 .029 +11133 -.158 -.104 .019 +11134 -.163 -.12 .019 +11135 -.062 -.036 .058 +11136 -.037 .006 .044 +11137 -.098 -.093 .019 +11138 -.151 -.091 .012 +11139 -.06 0 -.007 +11140 -.031 0 .016 +11141 -.052 -.042 -.012 +11142 -.048 -.097 -.019 +11143 -.138 -.094 .012 +11144 -.013 -.143 -.056 +11145 -.115 -.118 .034 +11146 -.136 -.119 .007 +11147 -.031 -.016 .064 +11148 -.138 -.136 .036 +11149 -.134 -.126 .038 +11150 -.172 -.098 .018 +11151 -.168 -.121 .014 +11152 -.139 -.055 .072 +11153 -.158 -.082 .043 +11154 -.06 -.04 .033 +11155 -.022 -.025 .038 +11156 -.107 -.059 -.002 +11157 -.152 -.047 .015 +11158 -.046 -.025 .031 +11159 -.014 -.015 .052 +11160 -.056 -.023 .008 +11161 -.051 -.062 .004 +11162 -.157 -.042 .049 +11163 -.011 -.102 -.047 +11164 -.107 -.08 .032 +11165 -.109 -.082 .012 +11166 -.031 -.027 -.005 +11167 -.125 -.087 .024 +11168 -.136 -.081 .018 +11169 -.152 -.068 .027 +11170 -.147 -.088 .023 +11171 -.141 -.054 .05 +11172 -.149 -.065 .026 +11173 -.06 -.042 -.026 +11174 -.016 -.021 .037 +11175 -.108 -.04 -.013 +11176 -.13 -.039 .008 +11177 -.045 -.05 .079 +11178 -.067 -.051 .061 +11179 -.027 -.003 .012 +11180 -.018 -.034 .015 +11181 -.138 -.048 .049 +11182 -.012 -.061 -.029 +11183 -.093 -.071 .041 +11184 -.073 -.077 .012 +11185 -.024 -.028 -.071 +11186 -.134 -.035 .01 +11187 -.137 -.052 .02 +11188 -.15 -.054 .029 +11189 -.142 -.067 .02 +11190 -.126 -.038 .021 +11191 -.139 -.044 .022 +11192 -.04 -.031 -.073 +11193 -.052 -.049 -.037 +11194 -.07 -.027 -.043 +11195 -.081 -.025 -.035 +11196 -.081 -.073 .044 +11197 -.125 -.069 .088 +11198 -.022 -.002 .016 +11199 .008 -.019 .004 +11200 -.092 -.03 .005 +11201 .04 -.044 -.036 +11202 -.089 -.053 .039 +11203 -.066 -.079 .006 +11204 -.053 -.056 -.117 +11205 -.187 -.037 -.01 +11206 -.143 -.043 .023 +11207 -.16 -.007 -.003 +11208 -.171 -.018 .008 +11209 -.067 -.023 0 +11210 -.127 -.008 -.022 +11211 -.037 -.012 -.13 +11212 -.063 -.082 -.065 +11213 -.041 -.005 -.063 +11214 -.036 -.014 -.047 +11215 -.089 -.091 .058 +11216 -.145 -.066 .133 +11217 -.043 -.008 .005 +11218 -.001 -.014 -.025 +11219 -.038 -.006 -.007 +11220 .046 -.032 -.054 +11221 -.085 -.041 .005 +11222 -.06 -.058 -.015 +11223 -.068 -.049 -.118 +11224 -.18 -.021 -.003 +11225 -.137 -.034 .01 +11226 -.129 .019 -.047 +11227 -.172 0 -.001 +11228 -.009 .008 -.047 +11229 -.076 .004 -.045 +11230 -.043 -.004 -.178 +11231 -.105 -.1 -.055 +11232 -.047 .005 -.113 +11233 -.045 -.013 -.108 +11234 -.089 -.112 .015 +11235 -.122 -.071 .103 +11236 -.052 -.008 -.017 +11237 -.041 -.017 -.06 +11238 -.024 -.02 -.06 +11239 -.031 0 -.078 +11240 -.065 -.027 -.02 +11241 -.052 -.021 -.066 +11242 -.004 -.031 -.053 +11243 -.171 -.003 .003 +11244 -.115 -.016 .004 +11245 -.097 .033 -.046 +11246 -.162 .022 .009 +11247 -.004 .015 -.06 +11248 -.03 .026 -.077 +11249 -.023 -.011 -.149 +11250 -.052 -.09 .013 +11251 -.039 .019 -.164 +11252 -.048 .002 -.115 +11253 -.085 -.102 .083 +11254 -.07 -.051 .022 +11255 -.043 0 -.055 +11256 -.026 -.015 -.115 +11257 -.02 .005 -.092 +11258 -.055 -.01 -.073 +11259 -.077 -.056 .014 +11260 -.042 -.014 0 +11261 .03 -.003 .02 +11262 -.172 -.057 .004 +11263 -.127 -.07 -.002 +11264 -.125 0 -.043 +11265 -.172 -.023 -.002 +11266 -.036 0 -.074 +11267 -.053 .01 -.081 +11268 .003 -.004 -.063 +11269 -.035 -.038 .086 +11270 -.057 .004 -.164 +11271 -.059 -.003 -.133 +11272 -.053 -.049 .099 +11273 -.023 .002 .003 +11274 -.033 -.005 -.023 +11275 -.001 .007 -.062 +11276 -.029 -.003 -.109 +11277 -.037 -.018 -.02 +11278 -.082 -.002 .065 +11279 -.041 .002 .065 +11280 .035 -.037 -.011 +11281 -.151 -.024 .033 +11282 -.124 -.025 .029 +11283 -.151 .004 -.025 +11284 -.175 -.012 .016 +11285 -.079 -.009 -.056 +11286 -.092 .013 -.064 +11287 .028 -.035 -.062 +11288 -.032 -.05 .006 +11289 -.021 -.029 -.122 +11290 -.054 -.018 -.114 +11291 -.014 -.029 .038 +11292 -.012 0 -.06 +11293 .034 .035 -.078 +11294 .062 .04 -.062 +11295 -.056 -.005 -.101 +11296 .015 .015 0 +11297 -.068 .007 .051 +11298 -.026 -.005 .055 +11299 -.008 -.046 -.009 +11300 -.147 -.026 .026 +11301 -.121 -.014 .031 +11302 -.148 -.013 -.015 +11303 -.145 -.019 .051 +11304 -.079 -.024 -.031 +11305 -.106 0 -.047 +11306 .011 -.051 -.043 +11307 -.018 -.031 -.029 +11308 -.003 -.051 -.076 +11309 -.047 -.039 -.083 +11310 .005 -.02 -.047 +11311 0 -.017 -.109 +11312 .091 .064 -.096 +11313 .097 .057 -.065 +11314 -.05 -.016 -.074 +11315 .03 .016 -.004 +11316 -.052 -.028 .028 +11317 -.035 -.047 .054 +11318 .003 -.014 -.039 +11319 -.132 -.069 .006 +11320 -.101 -.044 .017 +11321 -.128 -.042 -.015 +11322 -.117 -.074 .021 +11323 -.077 -.046 -.042 +11324 -.104 -.027 -.035 +11325 .008 -.021 -.05 +11326 -.001 -.006 -.07 +11327 .013 -.042 -.047 +11328 -.013 -.059 -.042 +11329 .013 -.012 -.102 +11330 .053 .019 -.129 +11331 .104 .038 -.112 +11332 .098 .038 -.073 +11333 -.041 -.058 -.073 +11334 .025 -.004 -.021 +11335 -.029 -.045 .019 +11336 .005 -.027 .01 +11337 .003 -.018 -.05 +11338 -.068 -.095 .011 +11339 -.063 -.065 .009 +11340 -.081 -.081 -.004 +11341 -.068 -.094 .009 +11342 -.034 -.035 -.063 +11343 -.08 -.028 -.046 +11344 .004 -.023 -.03 +11345 .008 -.028 -.107 +11346 .003 -.026 -.023 +11347 0 -.033 -.019 +11348 .022 -.043 -.136 +11349 .043 -.022 -.128 +11350 .083 .009 -.086 +11351 .077 -.002 -.039 +11352 -.004 -.008 -.058 +11353 .004 -.01 -.019 +11354 -.001 .01 -.006 +11355 .005 -.007 -.016 +11356 -.008 -.027 -.077 +11357 -.05 -.035 .003 +11358 -.014 -.006 .005 +11359 -.055 -.048 -.039 +11360 -.046 -.033 -.01 +11361 .005 -.02 -.078 +11362 -.02 -.003 -.079 +11363 -.008 -.028 -.048 +11364 .028 -.036 -.127 +11365 -.009 -.037 -.038 +11366 -.008 -.044 -.052 +11367 .006 -.025 -.137 +11368 .033 -.037 -.113 +11369 .035 -.024 -.064 +11370 .042 .005 -.032 +11371 .022 -.007 -.071 +11372 -.014 -.012 -.008 +11373 .006 .018 .019 +11374 .025 .021 .014 +11375 -.007 -.014 -.076 +11376 -.027 .009 .018 +11377 -.006 .014 .025 +11378 -.025 -.006 -.022 +11379 -.037 .002 .004 +11380 .016 -.013 -.044 +11381 .013 -.011 -.039 +11382 -.026 -.02 -.039 +11383 .032 0 -.107 +11384 -.013 -.021 -.031 +11385 .01 -.021 -.039 +11386 .023 -.004 -.095 +11387 .038 .005 -.092 +11388 .033 .006 -.037 +11389 .048 .019 -.003 +11390 .021 -.014 -.053 +11391 .031 .021 .007 +11392 .035 .012 .093 +11393 .069 .018 .077 +11394 .015 0 -.048 +11395 -.014 .005 .066 +11396 -.004 .008 .079 +11397 0 0 -.006 +11398 -.017 0 .013 +11399 .015 -.002 -.017 +11400 .007 0 -.015 +11401 -.002 -.003 -.036 +11402 .044 .004 -.069 +11403 -.002 -.006 -.023 +11404 0 -.004 -.02 +11405 .051 .011 -.065 +11406 .046 .017 -.051 +11407 .062 .015 .001 +11408 .046 .009 .019 +11409 .012 -.003 -.012 +11410 .049 .009 .037 +11416 -.027 0 -.003 +11417 -.008 0 0 +11418 -.012 0 0 +11419 -.007 -.002 0 +11421 .056 .005 .091 +11422 .055 .008 .046 +11423 .024 0 -.038 +11424 -.014 .002 .023 +11425 .002 .003 .068 +11426 -.004 0 0 +11427 -.013 0 .01 +11428 .015 0 .015 +11430 .012 0 -.019 +11431 .04 0 -.041 +11433 .054 .002 -.032 +11434 .059 .01 -.024 +11435 .068 .018 -.004 +11436 .062 .016 .008 +11437 .007 0 .018 +11438 .039 .009 .022 +11439 .024 .013 .089 +11440 .047 .01 .028 +11441 .013 -.004 -.032 +11442 -.016 .002 .016 +11443 -.018 .012 .013 +11445 -.017 0 .009 +11446 .012 0 .01 +11448 .002 0 -.022 +11449 .021 -.006 -.029 +11450 -.003 -.002 -.005 +11451 .021 0 -.016 +11452 .019 0 -.008 +11453 .04 .003 0 +11454 .044 .008 .007 +11455 .003 0 .005 +11456 .055 .013 .011 +11457 .006 -.007 -.028 +11458 .018 .006 .012 +11459 .004 0 0 +11460 -.002 -.006 -.015 +11461 .005 -.006 -.024 +11463 .004 0 -.006 +11464 .01 .006 .016 +12927 .015 0 0 +12932 .007 -.005 .039 +12956 0 -.002 .017 +12957 -.007 .002 .004 +12958 -.025 -.002 .019 +12960 -.004 0 .002 +12961 .016 .003 .024 +12962 .056 .017 .022 +12963 .015 0 .06 +12964 .04 0 .01 +12965 -.019 0 .029 +12972 .002 -.017 .04 +12974 -.013 -.004 .014 +12975 -.01 -.003 .01 +12987 .006 -.015 .03 +12989 .008 .052 .041 +12990 -.012 .058 .042 +12991 -.036 .022 .059 +12992 -.054 .016 .076 +12993 -.059 .011 .076 +12994 -.061 .002 .054 +12995 -.066 -.012 .022 +12996 -.038 -.014 -.015 +12997 -.042 -.005 .007 +12998 -.031 0 .037 +12999 -.05 -.009 .03 +13000 -.072 -.023 .05 +13001 -.065 -.024 .047 +13002 -.048 -.02 .026 +13003 -.018 -.009 -.039 +13004 -.034 .008 -.04 +13005 -.012 0 -.086 +13006 .06 -.006 -.128 +13007 .079 .006 -.141 +13008 .059 -.013 -.12 +13009 .031 -.042 -.074 +13010 .043 .006 -.057 +13011 .049 .011 -.022 +13012 -.011 .002 0 +13013 .065 .014 -.015 +13014 .035 0 -.006 +13028 -.003 0 0 +13332 -.052 .024 .045 +13333 -.071 .031 -.005 +13334 -.065 -.006 -.013 +13335 -.055 -.022 -.006 +13336 -.042 -.047 -.022 +13337 -.057 -.088 -.021 +13338 -.053 -.124 -.026 +13339 -.067 -.148 .031 +13340 -.087 -.15 .081 +13341 -.1 -.157 .121 +13342 -.105 -.174 .111 +13343 -.123 -.173 .07 +13344 -.115 -.184 .03 +13345 -.089 -.173 -.03 +13346 -.066 -.156 -.047 +13347 -.054 -.123 .004 +13348 -.055 -.099 .039 +13349 -.054 -.075 .074 +13350 -.045 -.02 .088 +13351 -.031 .003 .048 +15128 0 .169 -.166 +15129 -.012 .169 -.177 +15130 -.012 .157 -.1 +15131 -.012 .169 -.17 +15132 -.012 .156 -.094 +15133 0 .143 -.066 +15134 -.012 .144 -.074 +15135 0 .133 -.05 +15136 -.012 .133 -.054 +15137 -.012 .145 -.077 +15138 -.012 .133 -.056 +15139 .012 .169 -.177 +15140 .012 .157 -.1 +15141 .012 .169 -.17 +15142 .012 .156 -.094 +15143 .012 .144 -.074 +15144 .012 .133 -.054 +15145 .012 .145 -.077 +15146 .012 .133 -.056 +15147 -.012 .169 -.172 +15148 -.012 .156 -.096 +15149 0 .165 -.132 +15150 -.012 .161 -.116 +15151 -.012 .169 -.166 +15152 -.012 .154 -.089 +15153 -.012 .161 -.114 +15154 -.012 .145 -.07 +15155 -.012 .132 -.051 +15156 0 .135 -.055 +15157 -.012 .134 -.058 +15158 -.012 .135 -.061 +15159 -.012 .133 -.056 +15160 -.012 .144 -.076 +15161 -.012 .15 -.087 +15162 -.012 .148 -.082 +15163 0 .145 -.069 +15164 .012 .169 -.172 +15165 .012 .156 -.096 +15166 .012 .161 -.116 +15167 .012 .169 -.166 +15168 .012 .161 -.114 +15169 .012 .154 -.089 +15170 .012 .132 -.051 +15171 .012 .134 -.058 +15172 .012 .135 -.061 +15173 .012 .133 -.056 +15174 .012 .144 -.076 +15175 .012 .15 -.087 +15176 .012 .148 -.082 +15177 .012 .145 -.07 +15178 -.012 .16 -.104 +15179 -.012 .16 -.113 +15180 -.012 .135 -.06 +15181 -.012 .134 -.06 +15182 -.012 .149 -.083 +15183 -.012 .147 -.075 +15184 .012 .16 -.104 +15185 .012 .16 -.113 +15186 .012 .135 -.06 +15187 .012 .134 -.06 +15188 .012 .149 -.083 +15189 .012 .147 -.075 +15190 -.012 .138 -.043 +15191 .012 .138 -.043 +15192 -.012 .138 -.031 +15193 -.012 .128 -.021 +15194 .012 .128 -.021 +15195 .012 .138 -.031 +15196 -.012 .128 -.015 +15197 .012 .128 -.015 +15198 -.012 .132 .016 +15199 .012 .132 .016 +15200 -.012 .128 .035 +15201 -.012 .117 .027 +15202 .012 .117 .027 +15203 .012 .128 .035 +15204 -.012 .116 .04 +15205 .012 .116 .04 +15206 -.012 .123 .046 +15207 .012 .123 .046 +15208 -.012 .123 .051 +15209 -.012 .112 .058 +15210 .012 .112 .058 +15211 .012 .123 .051 +15212 -.012 .111 .061 +15213 .012 .111 .061 +15214 .012 .168 -.167 +15215 .012 .155 -.092 +15216 .012 .133 -.052 +15217 .012 .144 -.07 +15218 .012 .161 -.114 +15219 .012 .135 -.06 +15220 .012 .148 -.079 +15221 .012 .139 -.042 +15222 .012 .126 -.013 +15223 .012 .134 .02 +15224 .012 .115 .031 +15225 .012 .126 .046 +15226 .012 .111 .059 +15227 0 .138 -.031 +15228 -.012 .139 -.068 +15229 .012 .116 .058 +15230 .012 .115 .059 +15231 -.012 .115 .059 +15232 .012 .119 .048 +15233 -.012 .117 .054 +15234 .012 .117 .054 +15235 .012 .139 -.068 +15236 -.012 .133 -.034 +15237 .012 .133 -.034 +15238 -.012 .144 -.07 +15239 -.012 .155 -.092 +15240 -.012 .168 -.167 +15241 -.012 .138 -.066 +15242 -.012 .139 -.068 +15243 .012 .138 -.066 +15244 0 .129 .027 +15245 0 .12 .045 +15246 -.012 .111 .059 +15247 -.012 .126 .046 +15248 -.012 .115 .031 +15249 -.012 .116 .058 +15250 -.012 .135 -.06 +15251 -.012 .161 -.114 +15252 -.012 .133 -.052 +15253 .012 .139 -.068 +15254 -.012 .124 .02 +15255 .012 .124 .02 +15256 0 .128 -.015 +15257 -.012 .119 .048 +15258 -.012 .134 .02 +15259 -.012 .126 -.013 +15260 -.012 .139 -.042 +15261 -.012 .148 -.079 +15262 0 .116 .038 +15263 0 .164 -.082 +15264 -.012 .154 -.062 +15265 0 .143 -.042 +15266 .012 .154 -.062 +15267 -.012 .161 -.076 +15268 -.012 .146 -.049 +15269 .012 .161 -.076 +15270 .012 .146 -.049 +15271 0 .17 -.051 +15272 -.012 .156 -.035 +15273 0 .145 -.017 +15274 .012 .156 -.035 +15275 -.012 .164 -.045 +15276 -.012 .147 -.023 +15277 .012 .164 -.045 +15278 .012 .147 -.023 +15279 0 .175 -.015 +15280 -.012 .158 -.006 +15281 0 .146 .007 +15282 .012 .158 -.006 +15283 -.012 .169 -.012 +15284 -.012 .15 .002 +15285 .012 .169 -.012 +15286 .012 .15 .002 +15287 0 .183 .027 +15288 -.012 .165 .036 +15289 0 .149 .047 +15290 .012 .165 .036 +15291 -.012 .177 .029 +15292 -.012 .153 .043 +15293 .012 .177 .029 +15294 .012 .153 .043 +15295 0 .177 .064 +15296 -.012 .17 .067 +15297 0 .164 .07 +15298 .012 .17 .067 +15299 -.012 .175 .064 +15300 -.012 .165 .069 +15301 .012 .175 .064 +15302 .012 .165 .069 +15303 .012 .133 0 +15304 .012 .135 -.012 +15305 .012 .123 .01 +15306 -.012 .135 -.012 +15307 -.012 .133 0 +15308 -.012 .123 .01 +15309 .012 .123 .003 +15310 -.012 .123 .003 +15311 .012 .137 -.011 +15312 .012 .121 .009 +15313 0 .133 0 +15314 0 .123 .012 +15315 -.012 .129 -.01 +15316 -.012 .137 -.011 +15317 -.012 .121 .009 +15318 .012 .129 -.01 +15319 0 .172 .071 +15320 .012 .163 .026 +15321 .012 .153 .031 +15322 -.012 .173 .019 +15323 0 .179 .017 +15324 0 .15 .036 +15325 -.012 .153 .031 +15326 -.012 .163 .026 +15327 .012 .173 .019 +15328 .004 -.011 .004 +15329 .016 .036 .016 +15330 .03 0 .004 +15331 .021 .017 .024 +15332 .009 -.011 -.007 +15333 0 -.019 -.007 +15334 -.04 .029 -.043 +15335 -.002 .042 .056 +15336 .008 .032 .013 +15337 .003 .029 .005 +15338 -.052 .032 -.02 +15339 -.04 .032 -.05 +15340 -.025 .022 -.005 +15341 -.016 .032 .011 +15342 -.057 .02 .097 +15343 -.038 .003 .079 +15344 -.015 -.016 -.041 +15345 .014 -.009 .013 +15346 .008 .009 .024 +15347 -.002 -.011 -.006 +15348 -.025 -.014 -.022 +15349 -.018 -.021 -.043 +15350 -.024 -.019 -.007 +15351 -.027 -.014 -.034 +15352 -.03 -.012 -.025 +15353 -.059 -.006 -.001 +15354 -.065 .02 .015 +15355 -.018 -.021 .01 +15356 -.073 -.01 .035 +15357 -.016 .013 -.038 +15358 -.006 .022 -.014 +15359 -.009 .015 -.019 +15360 -.013 .01 -.042 +15361 -.014 .024 0 +15362 -.021 .009 -.021 +15363 -.029 .033 -.014 +15364 -.007 -.025 .002 +15365 -.036 -.017 -.001 +15366 -.016 .003 -.003 +15367 .05 .005 -.016 +15368 -.017 -.009 .061 +15369 -.073 -.014 .019 +15370 -.016 0 .062 +15371 -.05 -.032 .023 +15372 .013 -.014 .011 +15373 -.004 .048 -.014 +15374 -.007 .006 -.024 +15375 -.003 -.004 .011 +15376 -.019 -.036 -.007 +15377 .016 -.051 .042 +15378 -.007 -.002 .015 +15379 -.006 -.021 .009 +15380 -.008 -.038 .015 +15381 -.024 .013 -.002 +15382 -.009 .003 -.021 +15383 -.014 -.044 -.01 +15384 0 .01 -.021 +15385 .006 .014 -.011 +15386 .006 .029 .002 +15387 -.016 -.041 .003 +15388 -.068 .04 -.028 +15389 -.047 -.016 -.018 +15390 -.016 -.007 -.011 +15391 -.012 -.034 -.007 +15392 -.003 .015 -.057 +15393 .003 -.009 -.039 +15394 -.02 -.005 -.036 +15395 0 .03 -.039 +15396 .025 .009 -.051 +15397 .011 .116 -.072 +15398 0 -.022 -.045 +15399 -.009 -.015 -.048 +15400 -.004 -.001 -.036 +15401 .005 -.042 -.07 +15402 .006 -.02 -.027 +15403 -.022 -.014 .013 +15404 -.025 -.006 .035 +15405 0 -.013 .012 +15406 0 -.016 .021 +15407 -.003 -.012 .015 +15408 .008 .062 -.006 +15409 -.018 -.007 -.004 +15410 0 -.003 -.002 +15411 -.002 -.002 -.004 +15412 0 -.007 .006 +15413 -.011 .015 .018 +15414 -.042 -.022 .023 +15415 -.028 .039 .028 +15416 -.026 0 .008 +15417 -.029 .027 .012 +15418 0 .009 -.056 +15419 -.032 -.025 -.008 +15420 -.023 0 -.012 +15421 -.007 .008 -.046 +15422 -.014 .012 .002 +15423 -.016 .011 .002 +15424 -.022 .045 .043 +15425 .011 -.004 .032 +15426 -.025 .038 .031 +15427 .01 -.012 .002 +15428 .01 .036 -.036 +15429 .004 -.007 -.02 +15430 0 .043 -.031 +15431 .021 -.034 -.013 +15432 -.008 .065 -.035 +15433 .022 -.033 .025 +15434 -.008 -.014 .007 +15435 -.011 -.012 .011 +15436 .019 .028 -.031 +15437 -.007 .027 .007 +15438 -.002 .017 .013 +15439 -.027 .045 -.007 +15440 -.018 -.006 .011 +15441 -.023 .051 -.023 +15442 .01 0 .036 +15443 .003 .012 .027 +15444 -.05 0 .009 +15445 .015 0 -.017 +15446 .025 .004 -.036 +15447 -.045 -.014 -.058 +15448 -.008 .006 .014 +15449 .025 .008 .032 +15450 -.023 .007 0 +15451 -.031 .009 .009 +15452 .01 -.002 .01 +15453 .019 .001 .049 +15454 -.027 -.002 -.015 +15455 -.03 .009 .061 +15456 -.037 -.006 .047 +15457 -.008 .046 .009 +15458 .013 -.013 .027 +15459 .025 -.004 -.035 +15460 .004 .004 -.059 +15461 .009 .014 -.039 +15462 .029 .026 -.062 +15463 -.012 .003 -.045 +15464 .04 -.012 -.058 +15465 -.004 .008 -.032 +15466 .005 .011 -.041 +15467 .015 .032 -.04 +15468 .03 .035 -.035 +15469 .016 -.005 -.069 +15470 .042 .004 -.064 +15471 -.022 .008 -.022 +15472 -.023 0 -.01 +15473 0 .008 -.038 +15474 .026 .018 -.031 +15475 .039 -.005 -.029 +15476 -.006 0 -.035 +15477 -.014 -.012 -.043 +15478 -.002 -.003 -.042 +15479 -.009 .019 -.055 +15480 .021 .008 -.006 +15481 -.019 -.006 -.01 +15482 -.034 -.002 .002 +15483 .018 .01 .001 +15484 .008 .008 -.024 +15485 -.003 .019 -.019 +15486 -.022 .01 .013 +15487 -.042 -.018 .008 +15488 -.027 .013 .008 +15489 .034 -.003 -.011 +15490 .034 -.007 -.017 +15491 .018 .005 .002 +15492 .02 .017 .018 +15493 -.012 -.007 -.014 +15494 -.013 .003 -.015 +15495 -.018 -.007 .012 +15496 .02 -.008 .01 +15497 .004 .003 -.025 +15498 -.014 -.009 .024 +15499 -.003 .009 -.003 +15500 -.002 .012 .028 +15501 .02 .015 .044 +15502 0 .011 .036 +15503 -.025 .023 .044 +15504 -.04 -.074 -.002 +15505 -.037 .003 0 +15506 -.003 0 .017 +15507 .002 -.005 -.001 +15508 .008 -.002 -.003 +15509 .003 -.011 .008 +15510 0 -.029 .018 +15511 .037 -.004 .018 +15512 -.015 -.009 -.002 +15513 -.026 0 -.008 +15514 .004 .005 -.018 +15515 .02 .014 -.001 +15516 0 -.008 .016 +15517 .006 .016 .041 +15518 -.017 .016 -.009 +15519 -.02 -.002 .009 +15520 -.025 .026 .004 +15521 -.006 .002 .017 +15522 .033 .005 0 +15523 .011 .022 .007 +15524 .002 .015 -.008 +15525 -.013 -.024 .014 +15526 .001 -.026 -.007 +15527 -.024 .003 -.023 +15528 0 -.003 .006 +15529 .005 .012 .015 +15530 -.004 -.015 .013 +15531 0 0 -.017 +15532 -.005 -.01 0 +15533 .008 .002 .04 +15534 -.013 -.015 .004 +15535 -.019 .008 0 +15536 .016 .02 -.004 +15537 .038 -.007 -.006 +15538 -.003 .003 0 +15539 0 -.018 .01 +15540 -.002 -.004 -.01 +15541 -.023 -.011 .016 +15542 -.01 .008 .024 +15543 -.002 .018 0 +15544 .011 .036 .026 +15545 .019 .005 .031 +15546 .024 .009 .011 +15547 .01 0 -.003 +15548 -.014 -.021 .01 +15549 .031 -.019 0 +15550 .003 .009 -.018 +15551 -.024 .01 -.029 +15552 0 .009 -.019 +15553 .016 0 -.004 +15554 .004 .034 -.002 +15555 -.007 0 -.012 +15556 .009 .028 .022 +15557 .021 -.033 -.013 +15558 .009 -.065 -.055 +15559 .023 -.01 -.037 +15560 .022 -.022 .016 +15561 .048 -.029 .01 +15562 .032 -.024 -.015 +15563 -.002 -.082 0 +15564 -.015 -.027 -.02 +15565 .01 -.074 -.015 +15566 .044 -.012 -.032 +15567 .019 .022 .025 +15568 .069 .009 .013 +15569 .062 -.02 .025 +15570 -.003 -.077 -.04 +15571 -.032 -.05 -.042 +15572 .036 -.064 .03 +15573 .069 .011 -.007 +15574 .021 .054 .044 +15575 .071 .011 -.01 +15576 .067 -.023 -.008 +15577 .022 -.042 -.058 +15578 .01 -.037 -.061 +15579 .002 .003 .017 +15580 .01 .029 .052 +15581 .028 .029 .023 +15582 .053 .01 .007 +15583 -.002 .015 -.046 +15584 .003 -.029 .064 +15585 .024 -.01 .071 +15586 .023 -.018 .052 +15587 .003 .337 .118 +15588 -.046 .06 -.1 +15589 -.103 .115 -.13 +15590 -.068 .065 .011 +15591 -.048 .073 -.093 +15592 -.099 .106 -.071 +15593 -.093 .064 -.009 +15594 .009 .042 -.04 +15595 .005 .007 -.082 +15596 -.01 -.01 -.054 +15597 .031 .04 -.004 +15598 .034 .342 .152 +15599 .041 .004 0 +15600 .061 -.024 -.038 +15601 -.018 .109 -.097 +15602 -.052 .137 -.182 +15603 -.103 .074 -.008 +15604 0 .038 -.027 +15605 .103 .034 .101 +15606 -.012 .084 -.021 +15607 -.024 .093 -.047 +15608 .008 -.017 -.079 +15609 -.015 -.012 -.07 +15610 .096 -.071 .088 +15611 .038 -.113 .04 +15612 -.002 -.1 -.035 +15613 -.025 -.046 -.042 +15614 -.012 -.044 -.042 +15615 .014 -.036 -.078 +15616 .035 -.072 .074 +15617 .006 -.078 0 +15618 -.013 -.043 -.034 +15619 -.035 -.031 -.047 +15620 .031 -.029 .066 +15621 .021 -.055 .051 +15622 .016 -.021 .079 +15623 .047 -.033 .107 +15624 .012 -.026 .058 +15625 .015 -.016 .081 +15626 .034 -.021 .054 +15627 .016 .004 -.1 +15628 .019 .004 -.08 +15629 -.043 .042 -.05 +15630 -.009 .011 -.111 +15631 -.014 .012 -.105 +15632 .036 -.056 .032 +15633 .003 -.041 -.025 +15634 -.006 -.013 -.011 +15635 .005 -.015 -.019 +15636 .012 -.028 -.005 +15637 -.003 -.016 -.031 +15638 -.023 .013 -.009 +15639 -.005 .038 -.003 +15640 -.006 -.022 -.068 +15641 -.011 -.042 .019 +15642 -.049 -.053 -.062 +15643 -.049 -.042 -.057 +15644 -.002 -.036 -.017 +15645 .004 -.017 -.028 +15646 -.022 .025 -.035 +15647 -.004 .059 -.021 +15648 -.054 -.061 -.048 +15649 -.027 -.009 -.055 +15650 -.033 -.13 -.043 +15651 -.051 .002 -.031 +15652 -.039 .01 -.033 +15653 -.002 -.051 -.07 +15654 -.023 .006 -.075 +15655 -.048 .061 -.07 +15656 -.049 .083 -.044 +15657 -.015 -.09 -.061 +15658 .026 .239 .125 +15659 -.097 -.096 .02 +15660 -.081 -.017 .014 +15661 .005 -.082 -.024 +15662 -.033 -.025 -.03 +15663 -.044 .019 -.061 +15664 -.045 .04 -.068 +15665 -.02 -.131 -.019 +15666 -.098 -.119 -.004 +15667 -.081 -.045 .021 +15668 .004 -.032 -.011 +15669 -.025 .016 .016 +15670 .006 .02 -.05 +15671 -.005 .034 -.049 +15672 -.013 -.081 -.019 +15673 -.088 -.139 -.005 +15674 -.079 -.044 .032 +15675 -.055 .008 .009 +15676 .086 .043 .055 +15677 .028 .056 .023 +15678 -.046 -.078 -.071 +15679 -.029 .065 -.065 +15680 -.007 .115 -.052 +15681 0 .008 -.064 +15682 -.01 -.029 -.067 +15683 -.025 .078 -.151 +15684 .013 .103 -.083 +15685 -.007 .3 .068 +15686 -.023 .065 -.01 +15687 -.068 .083 -.046 +15688 .024 .053 -.006 +15689 0 .068 -.006 +15690 .006 -.058 .09 +15691 .01 -.072 .077 +15692 .004 .358 .155 +15693 -.046 .054 -.057 +15694 -.055 .09 -.017 +15695 -.064 .056 -.012 +15696 -.024 .008 .002 +15697 -.014 .013 .009 +15698 .003 .018 .006 +15699 -.003 .016 -.007 +15700 -.006 -.035 -.017 +15701 -.01 .335 .098 +15702 -.016 -.069 -.042 +15703 -.048 -.001 .019 +15704 -.006 .064 -.046 +15705 -.017 .075 -.005 +15706 -.017 .083 .03 +15707 .031 .03 .012 +15708 .007 .048 .019 +15709 0 .041 .008 +15710 -.003 .051 .003 +15711 .021 -.026 -.009 +15712 -.013 .256 .074 +15713 .005 -.053 -.018 +15714 -.008 .009 .006 +15715 .015 .026 -.069 +15716 .02 .048 .002 +15717 -.011 .062 .056 +15718 .021 -.004 .005 +15719 -.014 .02 .009 +15720 .003 .011 .016 +15721 .014 .017 .013 +15722 .021 -.022 .019 +15723 -.007 -.028 .022 +15724 .003 .004 .025 +15725 -.02 -.011 -.058 +15726 0 -.019 -.08 +15727 .014 -.016 -.013 +15728 .012 -.008 .028 +15729 -.003 -.018 .039 +15730 .039 .036 -.009 +15731 .051 .017 -.028 +15732 .054 .041 -.029 +15733 .078 -.007 -.068 +15734 .09 .028 -.036 +15735 .079 -.005 -.026 +15736 .057 .006 -.013 +15737 -.012 .004 -.117 +15738 .044 .02 -.156 +15739 .074 0 -.188 +15740 .093 .056 -.208 +15741 .155 .093 -.169 +15742 .067 -.035 -.148 +15743 .086 -.022 -.023 +15744 .047 -.035 -.039 +15745 .058 -.027 -.007 +15746 .012 -.017 -.035 +15747 0 .005 -.035 +15748 .032 -.013 -.012 +15749 .024 -.024 -.081 +15750 .064 .007 -.065 +15751 .001 .054 .069 +15752 .015 -.042 -.005 +15753 -.015 -.037 -.015 +15754 -.013 -.02 -.003 +15755 -.002 -.016 .008 +15756 .036 -.062 .041 +15757 .121 .028 .052 +15758 -.01 -.016 .041 +15759 0 .009 .025 +15760 .145 .031 .048 +15761 .011 -.063 -.057 +15762 .046 -.054 -.101 +15763 .016 .051 .051 +15764 .081 -.055 -.03 +15765 .022 -.024 -.034 +15766 -.002 -.012 -.021 +15767 .003 -.018 -.014 +15768 .046 -.003 -.027 +15769 .112 -.056 .045 +15770 .012 -.004 .109 +15771 -.013 .016 .075 +15772 .064 -.022 -.036 +15773 .001 .226 .037 +15774 -.004 -.087 -.024 +15775 .02 -.07 -.053 +15776 .001 .022 .015 +15777 .069 -.076 -.063 +15778 .025 -.052 -.061 +15779 -.004 -.024 -.041 +15780 -.002 -.033 -.021 +15781 .069 -.053 -.026 +15782 .125 -.081 -.035 +15783 .043 -.017 .106 +15784 .006 .007 .06 +15785 -.005 -.097 -.008 +15786 .006 -.103 -.01 +15787 -.06 -.009 .035 +15788 .035 -.111 -.047 +15789 .008 -.083 -.046 +15790 -.018 -.057 -.066 +15791 -.005 -.052 -.037 +15792 .075 -.035 -.043 +15793 .077 -.086 .005 +15794 .024 -.054 .116 +15795 -.011 0 .065 +15796 .024 -.103 .003 +15797 .002 -.146 -.001 +15798 -.107 -.008 .039 +15799 .027 -.102 -.024 +15800 -.006 -.081 -.034 +15801 -.011 -.052 -.04 +15802 .02 -.058 .004 +15803 .081 .018 -.015 +15804 .037 -.082 .022 +15805 -.034 .308 .054 +15806 .003 -.061 .106 +15807 -.052 0 .071 +15808 .048 -.099 -.012 +15809 .016 -.133 -.021 +15810 -.098 .013 .011 +15811 .018 -.064 -.031 +15812 0 -.057 -.047 +15813 -.001 -.043 -.029 +15814 .041 -.05 .003 +15815 .079 -.002 -.009 +15816 .022 -.079 .003 +15817 -.007 -.036 .084 +15818 -.049 .01 .055 +15819 .042 -.087 -.038 +15820 .01 -.088 -.034 +15821 -.096 .019 -.018 +15822 .019 -.057 -.027 +15823 .012 -.044 -.034 +15824 .027 -.033 -.018 +15825 .054 -.05 -.013 +15826 .006 -.061 -.009 +15827 .089 .152 .13 +15828 -.022 -.016 .056 +15829 -.054 .025 .027 +15830 .025 -.082 -.011 +15831 -.003 -.077 -.026 +15832 -.131 .013 -.044 +15833 .043 -.061 .023 +15834 .033 -.057 .011 +15835 .04 -.053 .023 +15836 .042 -.066 .001 +15837 .033 -.064 .019 +15838 .029 .012 .056 +15839 -.066 .018 .015 +15840 -.096 .035 -.008 +15841 -.029 -.105 .092 +15842 -.032 -.124 .075 +15843 -.166 -.045 .044 +15844 -.016 -.12 .122 +15845 -.039 -.11 .102 +15846 -.037 -.101 .117 +15847 -.022 -.095 .099 +15848 .026 .044 -.031 +15849 -.01 -.089 .124 +15850 .038 .021 .009 +15851 -.136 .005 .074 +15852 -.16 -.003 .058 +15853 -.011 -.043 .051 +15854 -.027 -.047 .03 +15855 -.086 -.026 .078 +15856 -.015 -.031 .045 +15857 -.031 -.043 .031 +15858 -.041 -.039 .04 +15859 -.018 -.029 .053 +15860 .007 -.006 .055 +15861 .018 0 .05 +15862 -.123 .012 .089 +15863 -.117 -.02 .07 +15864 -.012 -.04 .053 +15865 -.017 -.052 .05 +15866 -.006 .009 .013 +15867 -.026 -.035 .035 +15868 -.044 -.024 .039 +15869 -.044 -.028 .024 +15870 -.019 -.024 .05 +15871 .005 .011 -.027 +15872 -.014 -.024 .06 +15873 .006 .009 .046 +15874 -.067 .032 .001 +15875 -.036 .021 .004 +15876 .035 -.044 -.023 +15877 .021 -.136 -.025 +15878 -.027 -.129 -.054 +15879 -.037 -.036 -.088 +15880 -.036 -.004 -.129 +15881 -.05 .101 -.136 +15882 -.106 .154 -.113 +15883 -.105 .132 -.044 +15884 -.093 .131 -.015 +15885 -.09 .113 .023 +15886 -.07 .144 .051 +15887 -.043 .111 .041 +15888 .003 .092 -.001 +15889 -.073 -.027 .057 +15890 -.014 .004 .037 +15891 -.134 -.081 .059 +15892 .018 -.057 .031 +15893 .009 -.019 .046 +15894 -.019 .012 -.093 +15895 -.03 .008 -.115 +15896 .003 .045 .009 +15897 .024 -.024 .039 +15898 .009 -.04 .059 +15899 .033 .021 .036 +15900 .005 -.102 .046 +15901 .03 .003 .047 +15902 -.019 .116 0 +15903 -.012 .183 .008 +15904 -.002 -.063 .004 +15905 -.024 -.051 .061 +15906 -.008 -.057 .082 +15907 .033 .015 0 +15908 -.032 .016 -.096 +15909 -.012 .044 .018 +15910 .004 -.006 .078 +15911 .008 -.029 .047 +15912 -.03 -.073 .015 +15913 .146 0 .052 +15914 .118 -.03 .063 +15915 .085 -.125 .015 +15916 -.034 -.119 -.02 +15917 -.037 -.112 -.019 +15918 -.034 -.113 -.026 +15919 -.062 -.105 -.046 +15920 .031 -.067 -.032 +15921 .019 -.063 -.011 +15922 .029 -.042 .04 +15923 .025 -.053 .086 +15924 .052 -.052 .087 +15925 .089 -.06 .046 +15926 .048 -.064 .049 +15927 .028 -.073 .062 +15928 .02 -.074 .05 +15929 .003 -.06 .031 +15930 .001 -.021 .015 +15931 -.04 -.019 .087 +15932 -.05 .002 .133 +15933 -.037 .026 .049 +15934 .036 -.035 .029 +15935 -.066 -.019 -.035 +15936 -.084 -.025 -.031 +15937 -.082 -.036 -.02 +15938 -.09 -.06 -.001 +15939 -.047 -.047 -.001 +15940 -.026 -.027 -.042 +15941 .034 .007 -.069 +15942 .007 .067 -.04 +15943 .028 -.021 .085 +15944 .028 -.02 .081 +15945 .017 -.003 -.082 +15946 -.012 .007 -.084 +15947 -.031 -.011 -.058 +15948 -.018 .01 -.032 +15949 .008 -.042 .076 +15950 .084 .032 -.037 +15951 -.003 -.009 0 +15952 .007 -.024 -.038 +15953 -.007 -.026 -.055 +15954 -.031 -.008 -.055 +15955 .065 .035 .016 +15956 .078 .021 -.025 +15957 .019 .006 .017 +15958 .094 .026 -.03 +15959 .011 -.014 -.039 +15960 .004 -.027 -.054 +15961 -.006 -.02 -.062 +15962 -.017 -.023 -.052 +15963 .063 .023 .052 +15964 .075 .023 -.008 +15965 .024 .006 0 +15966 .077 .025 -.03 +15967 .005 -.002 -.05 +15968 0 -.011 -.066 +15969 -.007 -.006 -.074 +15970 -.01 -.006 -.067 +15971 .056 .009 .042 +15972 .073 .004 -.005 +15973 .013 0 -.009 +15974 .065 -.003 -.056 +15975 -.004 .013 -.057 +15976 -.01 .02 -.086 +15977 -.004 .026 -.096 +15978 .007 .032 -.074 +15979 .043 .025 .039 +15980 .07 .008 .002 +15981 -.004 .012 -.008 +15982 .026 .041 -.07 +15983 -.023 .042 -.062 +15984 -.014 .054 -.087 +15985 -.004 .055 -.097 +15986 .004 .065 -.077 +15987 .005 .055 .049 +15988 .025 .041 -.004 +15989 -.014 .023 -.023 +15990 -.008 .086 -.042 +15991 .054 0 -.102 +15992 -.027 .104 -.009 +15993 -.027 .119 -.038 +15994 .029 -.003 -.082 +15995 .057 .044 -.002 +15996 .119 .053 -.062 +15997 .159 .037 -.118 +15998 .145 .049 -.127 +15999 .109 .015 -.221 +16000 .162 .013 -.246 +16001 .045 .014 -.143 +16002 .025 .002 -.096 +16003 .093 -.042 -.192 +16004 .127 -.049 -.221 +16005 .093 -.015 -.173 +16006 .038 0 -.127 +16007 .04 -.01 -.176 +16008 .053 -.037 -.196 +16009 .154 -.04 -.197 +16010 .061 .005 -.159 +16011 .032 -.008 -.093 +16012 .059 .012 -.138 +16013 .043 0 -.149 +16014 .164 .007 -.211 +16015 .062 -.018 -.135 +16016 .032 -.017 -.105 +16017 .149 -.014 -.074 +16018 .083 .035 -.095 +16019 .03 .052 -.069 +16020 -.034 .123 .016 +16021 -.046 .094 -.015 +16022 -.038 .15 .015 +16023 .01 .01 -.06 +16024 -.017 .007 -.056 +16025 -.017 .014 -.071 +16026 .005 .012 -.064 +16027 -.012 .008 -.068 +16028 -.045 .028 -.05 +16029 -.003 .106 -.065 +16030 -.027 .119 -.061 +16031 -.014 .111 -.082 +16032 .012 .104 -.086 +16033 -.048 .046 -.032 +16034 -.016 .003 -.025 +16035 0 .016 -.025 +16036 -.034 .185 .012 +16037 -.077 .124 0 +16038 -.083 .059 -.014 +16039 -.023 .025 -.025 +16040 -.008 .025 -.029 +16041 -.019 .172 .011 +16042 -.007 .211 .018 +16043 -.017 .188 -.031 +16044 0 .19 -.057 +16045 .011 .175 -.056 +16046 .003 .172 -.041 +16047 .011 .234 .039 +16048 .015 .231 .021 +16049 .017 .224 .012 +16050 .011 .205 .024 +16051 .019 .236 .127 +16052 .007 .247 .159 +16053 .027 .261 .152 +16054 .01 .245 .13 +16055 -.022 .189 -.01 +16056 .007 .232 .042 +16057 .029 .277 .17 +16058 .022 .271 .192 +16059 .007 .261 .207 +16060 -.019 .27 .229 +16061 -.068 .321 .011 +16062 .017 .306 .123 +16063 -.003 .322 .172 +16064 -.021 .317 .179 +16065 -.026 .323 .203 +16066 -.068 .346 .257 +16067 -.029 .364 .038 +16068 .004 .332 .149 +16069 -.017 .349 .138 +16070 -.016 .354 .129 +16071 -.024 .379 .147 +16072 -.063 .39 .147 +16073 .038 .367 .111 +16074 0 .35 .158 +16075 0 .36 .071 +16076 -.013 .39 .034 +16077 -.02 .404 .014 +16078 -.051 .393 .011 +16079 .06 .336 .104 +16080 -.004 .285 -.04 +16081 -.01 .265 -.077 +16082 -.008 .314 -.079 +16083 -.036 .301 -.081 +16084 -.011 .354 .099 +16085 .029 .316 .099 +16086 -.017 .218 -.022 +16087 -.018 .323 .03 +16088 -.074 .282 .034 +16089 -.04 .204 .024 +16090 -.042 .132 -.012 +16091 -.034 .293 .053 +16092 0 .261 -.007 +16093 -.003 .175 -.008 +16094 .059 .302 .029 +16095 .045 .237 -.022 +16096 .02 .15 -.006 +16097 .091 .256 .02 +16098 .059 .194 -.015 +16099 .031 .118 -.004 +16100 .072 .241 .017 +16101 .034 .167 -.004 +16102 .037 .036 .015 +16103 -.026 .108 -.024 +16104 .01 .07 -.042 +16105 -.005 .068 -.044 +16106 -.006 .069 -.005 +16107 -.002 .072 -.029 +16108 -.018 .117 -.04 +16109 .038 .079 -.126 +16110 .019 .124 -.105 +16111 -.016 .08 -.022 +16112 .006 .102 -.074 +16113 .005 .095 -.001 +16114 -.039 .101 -.136 +16115 -.022 .076 -.105 +16116 .01 .068 -.026 +16117 0 .064 -.077 +16118 -.033 .022 -.079 +16119 .017 .078 .013 +16120 .005 .039 -.037 +16121 .03 .062 .027 +16122 .027 .057 -.02 +16123 -.056 .033 .014 +16124 -.018 .035 -.002 +16125 -.003 .034 .001 +16126 -.075 .051 -.017 +16127 -.002 .034 -.007 +16128 -.023 -.019 .008 +16129 -.009 0 .037 +16130 .04 .176 .018 +16131 .018 .182 .017 +16132 .017 .248 .094 +16133 -.013 .256 .041 +16134 -.022 .24 .023 +16135 -.083 .074 -.008 +16136 -.043 .155 .03 +16137 .047 .025 .068 +16138 .03 .047 .01 +16139 .016 .049 .031 +16140 .019 .083 .006 +16141 .024 -.003 .021 +16142 .017 .057 .036 +16143 -.067 .172 .05 +16144 -.01 .276 .032 +16145 .036 .02 .033 +16146 .043 .045 .043 +16147 -.038 .151 .02 +16148 -.063 .194 .09 +16149 -.015 .226 .041 +16150 -.042 .261 .037 +16151 .014 .358 -.024 +16152 -.027 .296 .014 +16153 .031 .017 .031 +16154 .005 .28 .084 +16155 .003 .319 .054 +16156 .04 .208 .012 +16157 .018 .141 .007 +16158 .042 .005 .081 +16159 .04 .035 .015 +16160 .016 .026 .027 +16161 .028 .056 .006 +16162 .024 .044 .042 +16163 .047 .082 .057 +16164 .008 .177 .049 +16165 -.023 .207 .056 +16166 -.029 .229 .08 +16167 .002 .226 .113 +16168 -.015 .163 .076 +16169 .023 -.019 .041 +16170 .017 .2 .108 +16171 .028 .223 .145 +16172 .033 .135 .031 +16173 .02 .076 0 +16174 .024 -.037 .076 +16175 .044 -.008 .029 +16176 .015 -.008 .017 +16177 .033 .021 .003 +16178 .028 0 .031 +16179 .023 .025 .073 +16180 .031 .045 .056 +16181 .004 .08 .008 +16182 .007 .126 .04 +16183 .076 .013 .072 +16184 .061 -.007 .019 +16185 .008 -.032 .058 +16186 .106 .045 .089 +16187 .104 .021 .104 +16188 .109 .012 .047 +16189 .1 -.01 .004 +16190 .001 -.052 .034 +16191 .043 -.034 .039 +16192 .027 -.053 -.017 +16193 .071 -.048 -.021 +16194 .01 -.024 .002 +16195 -.005 -.019 .014 +16196 .02 -.023 -.021 +16197 .024 -.029 -.043 +16198 .035 -.025 -.034 +16199 .071 -.068 .052 +16200 .054 -.079 -.009 +16201 .038 -.083 .051 +16202 .133 -.059 .094 +16203 .087 -.045 .079 +16204 .146 -.062 .055 +16205 .15 -.055 .01 +16206 .04 -.092 .026 +16207 .037 -.076 .022 +16208 .067 -.107 -.031 +16209 .134 -.064 -.013 +16210 .008 -.113 .007 +16211 -.023 -.097 .027 +16212 .019 -.064 -.004 +16213 .02 -.073 -.022 +16214 .031 -.082 -.037 +16215 .067 .035 .02 +16216 .082 .018 -.015 +16217 .153 .032 .022 +16218 .114 .033 .074 +16219 .08 .043 .046 +16220 .142 .058 .068 +16221 .128 .065 .057 +16222 .158 .037 .063 +16223 .14 .031 -.013 +16224 .121 .043 .048 +16225 .116 .054 .02 +16226 .099 .025 .036 +16227 .086 .045 .032 +16228 .029 .055 .009 +16229 .028 .044 .009 +16230 .038 .023 -.026 +16231 .047 .018 .052 +16232 .038 .008 .012 +16233 .258 -.032 -.038 +16234 .11 .028 .076 +16235 .079 .022 .06 +16236 .123 .027 .04 +16237 .081 .023 .056 +16238 .2 -.005 -.01 +16239 .204 -.013 -.038 +16240 .142 .007 .043 +16241 .083 .021 .048 +16242 .172 0 .003 +16243 .156 .032 .048 +16244 .014 .05 -.002 +16245 -.011 .041 0 +16246 -.011 .022 -.017 +16247 .038 .003 .022 +16248 .025 -.005 -.019 +16249 .226 -.048 -.047 +16250 .11 .044 .066 +16251 .093 .008 .048 +16252 .078 .035 .006 +16253 .038 0 .027 +16254 .192 -.042 -.046 +16255 .256 -.068 -.026 +16256 .145 -.021 .013 +16257 .092 .002 .022 +16258 .222 -.048 -.044 +16259 .134 0 -.037 +16260 .023 .009 -.055 +16261 .022 -.005 -.057 +16262 .017 -.004 -.063 +16263 .029 .006 .042 +16264 .005 .062 -.009 +16265 .234 -.015 .053 +16266 .125 -.003 .035 +16267 .089 -.011 .051 +16268 .054 .013 0 +16269 .047 0 .009 +16270 .159 -.014 .044 +16271 .209 .022 .048 +16272 .139 0 -.007 +16273 .116 -.008 .01 +16274 .161 .053 -.005 +16275 .103 .069 -.072 +16276 .04 .069 -.01 +16277 .028 .084 -.041 +16278 .02 .063 -.033 +16279 -.013 .012 .056 +16280 -.067 .03 .015 +16281 .08 -.008 -.026 +16282 .132 -.037 .031 +16283 .061 -.015 .063 +16284 .089 -.018 .003 +16285 .083 -.01 -.017 +16286 .104 -.028 -.005 +16287 .16 .015 -.076 +16288 .092 -.033 -.01 +16289 .102 -.025 0 +16290 .105 .039 -.067 +16291 .065 .053 -.15 +16292 -.037 .07 -.072 +16293 -.071 .076 -.057 +16294 -.062 .06 -.024 +16295 -.036 -.091 .007 +16296 -.093 -.071 -.034 +16297 .047 -.101 -.07 +16298 .082 -.111 .011 +16299 .033 -.104 .022 +16300 .073 -.115 -.013 +16301 .06 -.114 -.018 +16302 .09 -.114 -.054 +16303 .025 -.081 -.093 +16304 .055 -.116 -.028 +16305 .047 -.136 .011 +16306 .003 -.064 -.126 +16307 -.02 -.061 -.177 +16308 -.117 -.027 -.114 +16309 -.125 -.039 -.092 +16310 -.098 -.059 -.08 +16311 -.035 .054 .019 +16312 -.068 .072 -.007 +16313 -.007 .038 -.052 +16314 .048 -.03 .043 +16315 .017 .029 .033 +16316 .057 -.02 .026 +16317 .052 -.003 .005 +16318 .016 .025 -.033 +16319 -.008 .051 -.099 +16320 -.003 0 -.026 +16321 .035 -.009 0 +16322 -.015 .041 -.145 +16323 -.053 .064 -.13 +16324 -.108 .075 -.104 +16325 -.104 .062 -.051 +16326 -.063 .079 -.05 +16327 -.011 .004 .005 +16328 -.04 .011 -.017 +16329 -.016 -.03 -.079 +16330 .021 -.023 .018 +16331 .023 -.015 .017 +16332 .01 -.048 .002 +16333 .002 -.046 -.031 +16334 -.016 -.037 -.057 +16335 -.047 -.026 -.109 +16336 -.039 -.04 -.07 +16337 -.015 -.036 -.053 +16338 -.027 -.008 -.139 +16339 -.042 -.008 -.125 +16340 -.053 -.006 -.06 +16341 -.064 .012 -.036 +16342 -.02 .019 -.025 +16343 -.009 .014 .033 +16344 -.045 .003 .031 +16345 -.038 -.005 -.053 +16346 .009 .019 .022 +16347 .002 .014 .034 +16348 -.012 .019 .033 +16349 -.015 .013 -.035 +16350 -.04 -.004 -.039 +16351 -.059 0 -.079 +16352 -.074 .015 -.063 +16353 -.022 .008 -.049 +16354 -.049 0 -.099 +16355 -.038 .019 -.115 +16356 -.068 -.026 -.027 +16357 -.071 .004 .005 +16358 -.038 .038 .023 +16359 -.059 .046 .082 +16360 -.062 .064 .072 +16361 -.031 .053 -.049 +16362 .026 .068 -.01 +16363 -.01 .058 .073 +16364 -.007 .075 .008 +16365 -.019 .049 -.015 +16366 -.045 .056 -.029 +16367 -.054 .061 -.065 +16368 -.055 .057 -.044 +16369 -.023 .054 -.031 +16370 -.048 .061 -.087 +16371 -.034 .069 -.084 +16372 -.067 .061 -.011 +16373 -.035 .104 .023 +16374 -.048 .09 .036 +16375 -.056 .03 .099 +16376 -.063 .032 .073 +16377 -.04 .037 -.038 +16378 .009 .048 .003 +16379 -.015 .055 .079 +16380 -.007 .051 .022 +16381 -.005 .04 .013 +16382 -.046 .038 -.012 +16383 -.028 .029 -.071 +16384 -.06 .015 -.003 +16385 -.023 .031 0 +16386 -.054 .04 -.056 +16387 -.058 .053 -.046 +16388 -.075 .062 .005 +16389 -.064 .057 .031 +16390 -.063 .044 .032 +16391 -.045 .057 .091 +16392 -.067 .059 .05 +16393 .012 .034 .002 +16394 -.052 .034 -.04 +16395 -.057 .038 -.031 +16396 -.074 .048 -.021 +16397 -.072 .055 -.008 +16398 -.056 .048 .028 +16399 .107 .079 .015 +16400 -.02 .117 .028 +16401 0 .091 .014 +16402 .028 .158 .031 +16403 .032 .032 .083 +16404 .005 -.027 -.002 +16405 0 -.054 .009 +16406 .04 .037 .009 +16407 .083 .051 -.019 +16408 .053 .004 -.078 +16409 .061 .103 -.107 +16410 .006 .042 -.121 +16411 -.083 -.078 -.154 +16412 -.076 .063 -.139 +16413 -.044 -.008 -.089 +16414 -.073 -.028 -.063 +16415 -.048 .063 -.046 +16416 -.067 .056 -.024 +16417 .051 -.009 .025 +16418 .027 -.002 0 +16419 .036 .005 -.006 +16420 .038 .022 -.034 +16421 .032 .048 -.054 +16422 .036 .05 -.043 +16423 .035 .064 -.02 +16424 .047 .083 .046 +16425 .068 .12 .107 +16426 .095 .148 .145 +16427 .087 .151 .101 +16428 .081 .091 .039 +16429 .064 .039 0 +16430 .045 -.009 -.01 +16431 .013 -.032 .005 +16432 .014 -.047 .064 +16433 .017 -.011 .044 +16434 .023 -.031 .012 +16435 .006 .068 -.017 +16436 .023 .017 .07 +16437 .018 -.032 -.013 +16438 .006 -.038 .006 +16439 .014 -.063 .004 +16440 .069 -.087 .021 +16441 .067 .033 .039 +16442 0 -.03 -.037 +16443 -.024 -.02 -.047 +16444 -.009 -.027 -.052 +16445 .026 .014 .011 +16446 .083 .029 -.054 +16447 .04 -.024 -.066 +16448 .059 -.027 -.087 +16449 .05 -.032 -.117 +16450 .063 -.005 -.132 +16451 .011 -.014 -.018 +16452 .069 .038 -.033 +16453 .065 .024 -.027 +16454 .105 0 -.163 +16455 .087 -.027 -.105 +16456 .07 -.046 -.08 +16457 .103 .036 -.048 +16458 .068 -.027 -.125 +16459 -.053 -.071 -.036 +16460 .056 .04 -.013 +16461 .01 0 .027 +16462 0 -.003 .016 +16463 .006 -.019 -.03 +16464 .109 -.026 -.138 +16465 .136 .065 -.095 +16466 .083 .026 -.017 +16467 .092 -.048 -.089 +16468 .064 -.04 -.063 +16469 .056 -.025 -.077 +16470 .041 -.01 -.056 +16471 .023 -.03 -.071 +16472 .047 -.036 -.106 +16473 .095 -.054 -.099 +16474 .096 -.028 -.126 +16475 -.035 0 .067 +16476 -.025 .034 .103 +16477 0 .014 .085 +16478 -.026 .01 .108 +16479 .038 -.003 .044 +16480 -.055 -.048 -.07 +16481 .021 .007 .063 +16482 -.011 -.014 .013 +16483 .003 0 -.086 +16484 .006 .004 -.089 +16485 .002 -.032 -.075 +16486 .014 0 -.089 +16487 .002 .01 -.058 +16488 0 -.053 -.019 +16489 .06 -.004 -.007 +16490 -.044 .011 -.063 +16491 .063 -.011 .009 +16492 .053 -.017 -.012 +16493 -.027 .017 -.039 +16494 -.028 -.011 -.071 +16495 -.019 -.009 -.069 +16496 -.005 .002 -.062 +16497 -.008 -.002 -.066 +16498 -.013 -.002 -.063 +16499 -.016 .008 -.056 +16500 .009 .008 -.038 +16501 .003 .009 -.035 +16502 .005 .003 -.025 +16503 .013 -.012 -.019 +16504 .013 -.019 -.027 +16505 .008 -.014 -.023 +16506 .014 .028 -.017 +16507 -.003 .063 -.024 +16508 .002 .119 -.017 +16509 .005 .173 0 +16510 -.006 .205 .03 +16511 -.035 .203 .113 +16512 -.067 .265 .215 +16513 -.148 .347 .224 +16514 -.111 .416 .105 +16515 -.078 .378 -.021 +16516 -.036 .235 .004 +16517 -.052 .147 -.011 +16518 -.008 .107 .013 +16519 .029 .118 .018 +16520 .024 .102 .032 +16521 .054 .096 .008 +16522 .063 .07 -.055 +16523 .038 .066 -.102 +16524 .02 .107 -.125 +16525 .035 .055 -.127 +16526 .012 .07 -.048 +16527 .009 .03 .011 +16528 .015 .008 -.022 +16529 .042 .035 -.028 +16530 .03 .016 -.031 +16531 .024 .026 -.036 +16532 -.005 -.03 .055 +16533 .019 -.009 .046 +16534 .017 -.017 .017 +16535 .004 -.017 -.089 +16536 -.021 -.004 -.067 +16537 .033 -.005 -.046 +16538 .059 -.025 -.052 +16539 .074 -.045 -.046 +16540 .079 -.034 -.065 +16541 .086 .018 -.029 +16542 .075 .005 -.025 +16543 .027 -.004 .025 +16544 .054 0 .027 +16545 -.004 .018 -.051 +16546 .005 .022 -.007 +16547 .018 -.019 .044 +16548 -.008 -.058 .015 +16549 .037 -.068 .035 +16550 -.035 .023 -.025 +16551 .014 -.011 .027 +16552 .044 -.052 .031 +16553 .004 -.047 .022 +16554 .015 -.061 .037 +16555 -.025 -.004 0 +16556 .022 -.017 .067 +16557 .029 -.045 .047 +16558 .022 -.024 .037 +16559 .009 -.056 .032 +16560 -.017 -.011 .063 +16561 .012 -.016 .064 +16562 .031 -.039 .027 +16563 .028 -.033 -.012 +16564 .02 -.033 .015 +16565 -.032 -.015 .068 +16566 -.011 -.051 .041 +16567 .012 -.036 .017 +16568 .027 -.03 -.026 +16569 .034 -.043 -.017 +16570 -.029 -.053 .031 +16571 .028 -.007 .006 +16572 .011 -.002 -.021 +16573 .006 -.002 -.01 +16574 0 -.021 .016 +16575 .003 .021 .004 +16576 .006 .012 -.009 +16577 .012 .018 0 +16578 .008 .019 0 +16579 0 .002 0 +16580 0 .011 -.01 +16581 .012 .013 .009 +16582 .021 .004 .005 +16583 .003 -.003 0 +16584 .004 .009 .009 +16585 .016 -.009 .022 +16586 .014 0 0 +16587 .002 -.037 0 +16588 0 -.028 .016 +16589 .016 -.029 .031 +16590 .015 -.038 -.005 +16591 0 -.015 -.018 +16592 .011 -.042 .019 +16593 -.004 -.046 .014 +16594 0 -.007 0 +16595 .006 -.042 .007 +16596 .005 -.043 .015 +16597 .002 .006 0 +16598 .021 -.025 .012 +16599 .02 -.023 .024 +16600 0 -.009 .008 +16601 .016 -.01 .016 +16602 .024 -.011 .008 +16603 -.018 -.046 .015 +16604 -.005 -.038 .015 +16605 .015 -.024 -.023 +16606 .01 .012 -.018 +16607 .015 -.01 .013 +16608 -.001 -.005 -.037 +16609 -.011 -.01 -.017 +16610 -.027 -.02 .019 +16611 -.03 -.022 .035 +16612 -.023 0 -.009 +16613 -.021 .002 -.03 +16614 -.002 -.017 -.006 +16615 0 -.021 -.024 +16616 -.022 .003 -.004 +16617 -.005 .008 -.024 +16618 -.015 .033 -.037 +16619 -.012 -.02 -.027 +16620 0 -.017 -.022 +16621 -.014 -.016 .027 +16622 -.015 -.02 .036 +16623 -.022 .009 .002 +16624 .021 -.021 .002 +16625 .002 -.016 -.019 +16626 -.003 .004 0 +16627 -.018 .01 .003 +16628 -.029 -.034 -.011 +16629 -.008 -.002 .02 +16630 .007 -.029 .015 +16631 -.018 -.011 .016 +16632 -.004 -.011 .004 +16633 -.016 .036 .016 +16634 -.03 0 .004 +16635 -.021 .017 .024 +16636 -.009 -.011 -.007 +16637 0 -.019 -.007 +16638 .04 .029 -.043 +16639 .002 .042 .056 +16640 -.008 .032 .013 +16641 -.003 .029 .005 +16642 .052 .032 -.02 +16643 .04 .032 -.05 +16644 .025 .022 -.005 +16645 .016 .032 .011 +16646 .057 .02 .097 +16647 .038 .003 .079 +16648 .015 -.016 -.041 +16649 -.014 -.009 .013 +16650 -.008 .009 .024 +16651 .002 -.011 -.006 +16652 .025 -.014 -.022 +16653 .018 -.021 -.043 +16654 .024 -.019 -.007 +16655 .027 -.014 -.034 +16656 .03 -.012 -.025 +16657 .059 -.006 -.001 +16658 .065 .02 .015 +16659 .018 -.021 .01 +16660 .073 -.01 .035 +16661 .016 .013 -.038 +16662 .006 .022 -.014 +16663 .009 .015 -.019 +16664 .013 .01 -.042 +16665 .014 .024 0 +16666 .021 .009 -.021 +16667 .029 .033 -.014 +16668 .007 -.025 .002 +16669 .036 -.017 -.001 +16670 .016 .003 -.003 +16671 -.05 .005 -.016 +16672 .017 -.009 .061 +16673 .073 -.014 .019 +16674 .016 0 .062 +16675 .05 -.032 .023 +16676 -.013 -.014 .011 +16677 .004 .048 -.014 +16678 .007 .006 -.024 +16679 .003 -.004 .011 +16680 .019 -.036 -.007 +16681 -.016 -.051 .042 +16682 .007 -.002 .015 +16683 .006 -.021 .009 +16684 .008 -.038 .015 +16685 .024 .013 -.002 +16686 .009 .003 -.021 +16687 .014 -.044 -.01 +16688 0 .01 -.021 +16689 -.006 .014 -.011 +16690 -.006 .029 .002 +16691 .016 -.041 .003 +16692 .068 .04 -.028 +16693 .047 -.016 -.018 +16694 .016 -.007 -.011 +16695 .012 -.034 -.007 +16696 .003 .015 -.057 +16697 -.003 -.009 -.039 +16698 .02 -.005 -.036 +16699 0 .03 -.039 +16700 -.025 .009 -.051 +16701 -.011 .116 -.072 +16702 0 -.022 -.045 +16703 .009 -.015 -.048 +16704 .004 -.001 -.036 +16705 -.005 -.042 -.07 +16706 -.006 -.02 -.027 +16707 .022 -.014 .013 +16708 .025 -.006 .035 +16709 0 -.013 .012 +16710 0 -.016 .021 +16711 .003 -.012 .015 +16712 -.008 .062 -.006 +16713 .018 -.007 -.004 +16714 0 -.003 -.002 +16715 .002 -.002 -.004 +16716 0 -.007 .006 +16717 .011 .015 .018 +16718 .042 -.022 .023 +16719 .028 .039 .028 +16720 .026 0 .008 +16721 .029 .027 .012 +16722 0 .009 -.056 +16723 .032 -.025 -.008 +16724 .023 0 -.012 +16725 .007 .008 -.046 +16726 .014 .012 .002 +16727 .016 .011 .002 +16728 .022 .045 .043 +16729 -.011 -.004 .032 +16730 .025 .038 .031 +16731 -.01 -.012 .002 +16732 -.01 .036 -.036 +16733 -.004 -.007 -.02 +16734 0 .043 -.031 +16735 -.021 -.034 -.013 +16736 .008 .065 -.035 +16737 -.022 -.033 .025 +16738 .008 -.014 .007 +16739 .011 -.012 .011 +16740 -.019 .028 -.031 +16741 .007 .027 .007 +16742 .002 .017 .013 +16743 .027 .045 -.007 +16744 .018 -.006 .011 +16745 .023 .051 -.023 +16746 -.01 0 .036 +16747 -.003 .012 .027 +16748 .05 0 .009 +16749 -.015 0 -.017 +16750 -.025 .004 -.036 +16751 .045 -.014 -.058 +16752 .008 .006 .014 +16753 -.025 .008 .032 +16754 .023 .007 0 +16755 .031 .009 .009 +16756 -.01 -.002 .01 +16757 -.019 .001 .049 +16758 .027 -.002 -.015 +16759 .03 .009 .061 +16760 .037 -.006 .047 +16761 .008 .046 .009 +16762 -.013 -.013 .027 +16763 -.025 -.004 -.035 +16764 -.004 .004 -.059 +16765 -.009 .014 -.039 +16766 -.029 .026 -.062 +16767 .012 .003 -.045 +16768 -.04 -.012 -.058 +16769 .004 .008 -.032 +16770 -.005 .011 -.041 +16771 -.015 .032 -.04 +16772 -.03 .035 -.035 +16773 -.016 -.005 -.069 +16774 -.042 .004 -.064 +16775 .022 .008 -.022 +16776 .023 0 -.01 +16777 0 .008 -.038 +16778 -.026 .018 -.031 +16779 -.039 -.005 -.029 +16780 .006 0 -.035 +16781 .014 -.012 -.043 +16782 .002 -.003 -.042 +16783 .009 .019 -.055 +16784 -.021 .008 -.006 +16785 .019 -.006 -.01 +16786 .034 -.002 .002 +16787 -.018 .01 .001 +16788 -.008 .008 -.024 +16789 .003 .019 -.019 +16790 .022 .01 .013 +16791 .042 -.018 .008 +16792 .027 .013 .008 +16793 -.034 -.003 -.011 +16794 -.034 -.007 -.017 +16795 -.018 .005 .002 +16796 -.02 .017 .018 +16797 .012 -.007 -.014 +16798 .013 .003 -.015 +16799 .018 -.007 .012 +16800 -.02 -.008 .01 +16801 -.004 .003 -.025 +16802 .014 -.009 .024 +16803 .003 .009 -.003 +16804 .002 .012 .028 +16805 -.02 .015 .044 +16806 0 .011 .036 +16807 .025 .023 .044 +16808 .04 -.074 -.002 +16809 .037 .003 0 +16810 .003 0 .017 +16811 -.002 -.005 -.001 +16812 -.008 -.002 -.003 +16813 -.003 -.011 .008 +16814 0 -.029 .018 +16815 -.037 -.004 .018 +16816 .015 -.009 -.002 +16817 .026 0 -.008 +16818 -.004 .005 -.018 +16819 -.02 .014 -.001 +16820 0 -.008 .016 +16821 -.006 .016 .041 +16822 .017 .016 -.009 +16823 .02 -.002 .009 +16824 .025 .026 .004 +16825 .006 .002 .017 +16826 -.033 .005 0 +16827 -.011 .022 .007 +16828 -.002 .015 -.008 +16829 .013 -.024 .014 +16830 -.001 -.026 -.007 +16831 .024 .003 -.023 +16832 0 -.003 .006 +16833 -.005 .012 .015 +16834 .004 -.015 .013 +16835 0 0 -.017 +16836 .005 -.01 0 +16837 -.008 .002 .04 +16838 .013 -.015 .004 +16839 .019 .008 0 +16840 -.016 .02 -.004 +16841 -.038 -.007 -.006 +16842 .003 .003 0 +16843 0 -.018 .01 +16844 .002 -.004 -.01 +16845 .023 -.011 .016 +16846 .01 .008 .024 +16847 .002 .018 0 +16848 -.011 .036 .026 +16849 -.019 .005 .031 +16850 -.024 .009 .011 +16851 -.01 0 -.003 +16852 .014 -.021 .01 +16853 -.031 -.019 0 +16854 -.003 .009 -.018 +16855 .024 .01 -.029 +16856 0 .009 -.019 +16857 -.016 0 -.004 +16858 -.004 .034 -.002 +16859 .007 0 -.012 +16860 -.009 .028 .022 +16861 -.021 -.033 -.013 +16862 -.009 -.065 -.055 +16863 -.023 -.01 -.037 +16864 -.022 -.022 .016 +16865 -.048 -.029 .01 +16866 -.032 -.024 -.015 +16867 .002 -.082 0 +16868 .015 -.027 -.02 +16869 -.01 -.074 -.015 +16870 -.044 -.012 -.032 +16871 -.019 .022 .025 +16872 -.069 .009 .013 +16873 -.062 -.02 .025 +16874 .003 -.077 -.04 +16875 .032 -.05 -.042 +16876 -.036 -.064 .03 +16877 -.069 .011 -.007 +16878 -.021 .054 .044 +16879 -.071 .011 -.01 +16880 -.067 -.023 -.008 +16881 -.022 -.042 -.058 +16882 -.01 -.037 -.061 +16883 -.002 .003 .017 +16884 -.01 .029 .052 +16885 -.028 .029 .023 +16886 -.053 .01 .007 +16887 .002 .015 -.046 +16888 -.003 -.029 .064 +16889 -.024 -.01 .071 +16890 -.023 -.018 .052 +16891 -.003 .337 .118 +16892 .046 .06 -.1 +16893 .103 .115 -.13 +16894 .068 .065 .011 +16895 .048 .073 -.093 +16896 .099 .106 -.071 +16897 .093 .064 -.009 +16898 -.009 .042 -.04 +16899 -.005 .007 -.082 +16900 .01 -.01 -.054 +16901 -.031 .04 -.004 +16902 -.034 .342 .152 +16903 -.041 .004 0 +16904 -.061 -.024 -.038 +16905 .018 .109 -.097 +16906 .052 .137 -.182 +16907 .103 .074 -.008 +16908 0 .038 -.027 +16909 -.103 .034 .101 +16910 .012 .084 -.021 +16911 .024 .093 -.047 +16912 0 -.044 .045 +16913 -.008 -.017 -.079 +16914 .015 -.012 -.07 +16915 -.096 -.071 .088 +16916 0 -.002 -.051 +16917 0 -.05 .066 +16918 0 -.01 .064 +16919 0 0 .052 +16920 -.038 -.113 .04 +16921 .002 -.1 -.035 +16922 .025 -.046 -.042 +16923 .012 -.044 -.042 +16924 -.014 -.036 -.078 +16925 -.035 -.072 .074 +16926 -.006 -.078 0 +16927 .013 -.043 -.034 +16928 .035 -.031 -.047 +16929 -.031 -.029 .066 +16930 -.021 -.055 .051 +16931 -.016 -.021 .079 +16932 -.047 -.033 .107 +16933 -.012 -.026 .058 +16934 -.015 -.016 .081 +16935 -.034 -.021 .054 +16936 -.016 .004 -.1 +16937 -.019 .004 -.08 +16938 .043 .042 -.05 +16939 .009 .011 -.111 +16940 .014 .012 -.105 +16941 0 -.031 -.021 +16942 0 -.007 -.021 +16943 0 .008 -.051 +16944 -.036 -.056 .032 +16945 -.003 -.041 -.025 +16946 .006 -.013 -.011 +16947 -.005 -.015 -.019 +16948 -.012 -.028 -.005 +16949 .003 -.016 -.031 +16950 .023 .013 -.009 +16951 .005 .038 -.003 +16952 .006 -.022 -.068 +16953 .011 -.042 .019 +16954 .049 -.053 -.062 +16955 .049 -.042 -.057 +16956 .002 -.036 -.017 +16957 -.004 -.017 -.028 +16958 .022 .025 -.035 +16959 .004 .059 -.021 +16960 .054 -.061 -.048 +16961 .027 -.009 -.055 +16962 .033 -.13 -.043 +16963 .051 .002 -.031 +16964 .039 .01 -.033 +16965 .002 -.051 -.07 +16966 .023 .006 -.075 +16967 .048 .061 -.07 +16968 .049 .083 -.044 +16969 .015 -.09 -.061 +16970 -.026 .239 .125 +16971 .097 -.096 .02 +16972 .081 -.017 .014 +16973 -.005 -.082 -.024 +16974 .033 -.025 -.03 +16975 .044 .019 -.061 +16976 .045 .04 -.068 +16977 .02 -.131 -.019 +16978 .098 -.119 -.004 +16979 .081 -.045 .021 +16980 -.004 -.032 -.011 +16981 .025 .016 .016 +16982 -.006 .02 -.05 +16983 .005 .034 -.049 +16984 .013 -.081 -.019 +16985 .088 -.139 -.005 +16986 .079 -.044 .032 +16987 .055 .008 .009 +16988 -.086 .043 .055 +16989 -.028 .056 .023 +16990 .046 -.078 -.071 +16991 .029 .065 -.065 +16992 .007 .115 -.052 +16993 0 .008 -.064 +16994 .01 -.029 -.067 +16995 .025 .078 -.151 +16996 -.013 .103 -.083 +16997 .007 .3 .068 +16998 .023 .065 -.01 +16999 .068 .083 -.046 +17000 -.024 .053 -.006 +17001 0 .068 -.006 +17002 -.006 -.058 .09 +17003 -.01 -.072 .077 +17004 -.004 .358 .155 +17005 .046 .054 -.057 +17006 .055 .09 -.017 +17007 .064 .056 -.012 +17008 .024 .008 .002 +17009 .014 .013 .009 +17010 -.003 .018 .006 +17011 .003 .016 -.007 +17012 .006 -.035 -.017 +17013 .01 .335 .098 +17014 .016 -.069 -.042 +17015 .048 -.001 .019 +17016 .006 .064 -.046 +17017 .017 .075 -.005 +17018 .017 .083 .03 +17019 -.031 .03 .012 +17020 -.007 .048 .019 +17021 0 .041 .008 +17022 .003 .051 .003 +17023 -.021 -.026 -.009 +17024 .013 .256 .074 +17025 -.005 -.053 -.018 +17026 .008 .009 .006 +17027 -.015 .026 -.069 +17028 -.02 .048 .002 +17029 .011 .062 .056 +17030 -.021 -.004 .005 +17031 .014 .02 .009 +17032 -.003 .011 .016 +17033 -.014 .017 .013 +17034 -.021 -.022 .019 +17035 .007 -.028 .022 +17036 -.003 .004 .025 +17037 0 0 -.036 +17038 .02 -.011 -.058 +17039 0 -.019 -.08 +17040 -.014 -.016 -.013 +17041 -.012 -.008 .028 +17042 .003 -.018 .039 +17043 -.039 .036 -.009 +17044 -.051 .017 -.028 +17045 -.054 .041 -.029 +17046 -.078 -.007 -.068 +17047 -.09 .028 -.036 +17048 -.079 -.005 -.026 +17049 -.057 .006 -.013 +17050 0 -.016 .047 +17051 0 -.071 -.088 +17052 .012 .004 -.117 +17053 -.044 .02 -.156 +17054 -.074 0 -.188 +17055 -.093 .056 -.208 +17056 -.155 .093 -.169 +17057 -.067 -.035 -.148 +17058 -.086 -.022 -.023 +17059 -.047 -.035 -.039 +17060 -.058 -.027 -.007 +17061 0 .005 .018 +17062 -.012 -.017 -.035 +17063 0 .005 -.035 +17064 -.032 -.013 -.012 +17065 -.024 -.024 -.081 +17066 -.064 .007 -.065 +17067 -.001 .054 .069 +17068 -.015 -.042 -.005 +17069 .015 -.037 -.015 +17070 .013 -.02 -.003 +17071 .002 -.016 .008 +17072 -.036 -.062 .041 +17073 -.121 .028 .052 +17074 .01 -.016 .041 +17075 0 .009 .025 +17076 0 -.027 .046 +17077 -.145 .031 .048 +17078 -.011 -.063 -.057 +17079 -.046 -.054 -.101 +17080 -.016 .051 .051 +17081 -.081 -.055 -.03 +17082 -.022 -.024 -.034 +17083 .002 -.012 -.021 +17084 -.003 -.018 -.014 +17085 -.046 -.003 -.027 +17086 -.112 -.056 .045 +17087 -.012 -.004 .109 +17088 .013 .016 .075 +17089 -.064 -.022 -.036 +17090 -.001 .226 .037 +17091 .004 -.087 -.024 +17092 -.02 -.07 -.053 +17093 -.001 .022 .015 +17094 -.069 -.076 -.063 +17095 -.025 -.052 -.061 +17096 .004 -.024 -.041 +17097 .002 -.033 -.021 +17098 -.069 -.053 -.026 +17099 -.125 -.081 -.035 +17100 -.043 -.017 .106 +17101 -.006 .007 .06 +17102 .005 -.097 -.008 +17103 -.006 -.103 -.01 +17104 .06 -.009 .035 +17105 -.035 -.111 -.047 +17106 -.008 -.083 -.046 +17107 .018 -.057 -.066 +17108 .005 -.052 -.037 +17109 -.075 -.035 -.043 +17110 -.077 -.086 .005 +17111 -.024 -.054 .116 +17112 .011 0 .065 +17113 -.024 -.103 .003 +17114 -.002 -.146 -.001 +17115 .107 -.008 .039 +17116 -.027 -.102 -.024 +17117 .006 -.081 -.034 +17118 .011 -.052 -.04 +17119 -.02 -.058 .004 +17120 -.081 .018 -.015 +17121 -.037 -.082 .022 +17122 .034 .308 .054 +17123 -.003 -.061 .106 +17124 .052 0 .071 +17125 -.048 -.099 -.012 +17126 -.016 -.133 -.021 +17127 .098 .013 .011 +17128 -.018 -.064 -.031 +17129 0 -.057 -.047 +17130 .001 -.043 -.029 +17131 -.041 -.05 .003 +17132 -.079 -.002 -.009 +17133 -.022 -.079 .003 +17134 .007 -.036 .084 +17135 .049 .01 .055 +17136 -.042 -.087 -.038 +17137 -.01 -.088 -.034 +17138 .096 .019 -.018 +17139 -.019 -.057 -.027 +17140 -.012 -.044 -.034 +17141 -.027 -.033 -.018 +17142 -.054 -.05 -.013 +17143 -.006 -.061 -.009 +17144 -.089 .152 .13 +17145 .022 -.016 .056 +17146 .054 .025 .027 +17147 -.025 -.082 -.011 +17148 .003 -.077 -.026 +17149 .131 .013 -.044 +17150 -.043 -.061 .023 +17151 -.033 -.057 .011 +17152 -.04 -.053 .023 +17153 -.042 -.066 .001 +17154 -.033 -.064 .019 +17155 -.029 .012 .056 +17156 .066 .018 .015 +17157 .096 .035 -.008 +17158 .029 -.105 .092 +17159 .032 -.124 .075 +17160 .166 -.045 .044 +17161 .016 -.12 .122 +17162 .039 -.11 .102 +17163 .037 -.101 .117 +17164 .022 -.095 .099 +17165 -.026 .044 -.031 +17166 .01 -.089 .124 +17167 -.038 .021 .009 +17168 .136 .005 .074 +17169 .16 -.003 .058 +17170 .011 -.043 .051 +17171 .027 -.047 .03 +17172 .086 -.026 .078 +17173 .015 -.031 .045 +17174 .031 -.043 .031 +17175 .041 -.039 .04 +17176 .018 -.029 .053 +17177 -.007 -.006 .055 +17178 -.018 0 .05 +17179 .123 .012 .089 +17180 .117 -.02 .07 +17181 .012 -.04 .053 +17182 .017 -.052 .05 +17183 .006 .009 .013 +17184 .026 -.035 .035 +17185 .044 -.024 .039 +17186 .044 -.028 .024 +17187 .019 -.024 .05 +17188 -.005 .011 -.027 +17189 .014 -.024 .06 +17190 -.006 .009 .046 +17191 .067 .032 .001 +17192 .036 .021 .004 +17193 -.035 -.044 -.023 +17194 -.021 -.136 -.025 +17195 .027 -.129 -.054 +17196 .037 -.036 -.088 +17197 .036 -.004 -.129 +17198 .05 .101 -.136 +17199 .106 .154 -.113 +17200 .105 .132 -.044 +17201 .093 .131 -.015 +17202 .09 .113 .023 +17203 .07 .144 .051 +17204 .043 .111 .041 +17205 -.003 .092 -.001 +17206 .073 -.027 .057 +17207 .014 .004 .037 +17208 .134 -.081 .059 +17209 -.018 -.057 .031 +17210 -.009 -.019 .046 +17211 .019 .012 -.093 +17212 .03 .008 -.115 +17213 0 -.01 -.026 +17214 -.003 .045 .009 +17215 -.024 -.024 .039 +17216 -.009 -.04 .059 +17217 -.033 .021 .036 +17218 -.005 -.102 .046 +17219 -.03 .003 .047 +17220 .019 .116 0 +17221 .012 .183 .008 +17222 .002 -.063 .004 +17223 .024 -.051 .061 +17224 .008 -.057 .082 +17225 -.033 .015 0 +17226 0 -.005 -.015 +17227 .032 .016 -.096 +17228 .012 .044 .018 +17229 -.004 -.006 .078 +17230 -.008 -.029 .047 +17231 .03 -.073 .015 +17232 -.146 0 .052 +17233 -.118 -.03 .063 +17234 -.085 -.125 .015 +17235 .034 -.119 -.02 +17236 .037 -.112 -.019 +17237 .034 -.113 -.026 +17238 .062 -.105 -.046 +17239 -.031 -.067 -.032 +17240 -.019 -.063 -.011 +17241 -.029 -.042 .04 +17242 -.025 -.053 .086 +17243 -.052 -.052 .087 +17244 -.089 -.06 .046 +17245 -.048 -.064 .049 +17246 -.028 -.073 .062 +17247 -.02 -.074 .05 +17248 -.003 -.06 .031 +17249 -.001 -.021 .015 +17250 .04 -.019 .087 +17251 .05 .002 .133 +17252 .037 .026 .049 +17253 -.036 -.035 .029 +17254 .066 -.019 -.035 +17255 .084 -.025 -.031 +17256 .082 -.036 -.02 +17257 .09 -.06 -.001 +17258 .047 -.047 -.001 +17259 .026 -.027 -.042 +17260 -.034 .007 -.069 +17261 -.007 .067 -.04 +17262 -.028 -.021 .085 +17263 -.028 -.02 .081 +17264 -.017 -.003 -.082 +17265 .012 .007 -.084 +17266 0 .005 -.048 +17267 .031 -.011 -.058 +17268 .018 .01 -.032 +17269 -.008 -.042 .076 +17270 -.084 .032 -.037 +17271 .003 -.009 0 +17272 -.007 -.024 -.038 +17273 .007 -.026 -.055 +17274 .031 -.008 -.055 +17275 -.065 .035 .016 +17276 -.078 .021 -.025 +17277 -.019 .006 .017 +17278 -.094 .026 -.03 +17279 -.011 -.014 -.039 +17280 -.004 -.027 -.054 +17281 .006 -.02 -.062 +17282 .017 -.023 -.052 +17283 0 -.012 -.031 +17284 -.063 .023 .052 +17285 -.075 .023 -.008 +17286 -.024 .006 0 +17287 -.077 .025 -.03 +17288 -.005 -.002 -.05 +17289 0 -.011 -.066 +17290 .007 -.006 -.074 +17291 .01 -.006 -.067 +17292 -.056 .009 .042 +17293 -.073 .004 -.005 +17294 -.013 0 -.009 +17295 -.065 -.003 -.056 +17296 .004 .013 -.057 +17297 .01 .02 -.086 +17298 .004 .026 -.096 +17299 -.007 .032 -.074 +17300 -.043 .025 .039 +17301 -.07 .008 .002 +17302 .004 .012 -.008 +17303 -.026 .041 -.07 +17304 .023 .042 -.062 +17305 .014 .054 -.087 +17306 .004 .055 -.097 +17307 -.004 .065 -.077 +17308 -.005 .055 .049 +17309 -.025 .041 -.004 +17310 .014 .023 -.023 +17311 .008 .086 -.042 +17312 -.054 0 -.102 +17313 0 .021 -.122 +17314 .027 .104 -.009 +17315 .027 .119 -.038 +17316 -.029 -.003 -.082 +17317 -.057 .044 -.002 +17318 -.119 .053 -.062 +17319 -.159 .037 -.118 +17320 -.145 .049 -.127 +17321 -.109 .015 -.221 +17322 -.162 .013 -.246 +17323 -.045 .014 -.143 +17324 0 .023 -.114 +17325 0 .014 -.104 +17326 -.025 .002 -.096 +17327 -.093 -.042 -.192 +17328 -.127 -.049 -.221 +17329 -.093 -.015 -.173 +17330 -.038 0 -.127 +17331 0 -.016 -.085 +17332 -.04 -.01 -.176 +17333 -.053 -.037 -.196 +17334 -.154 -.04 -.197 +17335 -.061 .005 -.159 +17336 -.032 -.008 -.093 +17337 -.059 .012 -.138 +17338 -.043 0 -.149 +17339 -.164 .007 -.211 +17340 -.062 -.018 -.135 +17341 -.032 -.017 -.105 +17342 -.149 -.014 -.074 +17343 -.083 .035 -.095 +17344 -.03 .052 -.069 +17345 .034 .123 .016 +17346 0 .02 -.065 +17347 0 -.007 -.047 +17348 .046 .094 -.015 +17349 .038 .15 .015 +17350 -.01 .01 -.06 +17351 .017 .007 -.056 +17352 .017 .014 -.071 +17353 -.005 .012 -.064 +17354 .012 .008 -.068 +17355 .045 .028 -.05 +17356 .003 .106 -.065 +17357 .027 .119 -.061 +17358 .014 .111 -.082 +17359 -.012 .104 -.086 +17360 .048 .046 -.032 +17361 .016 .003 -.025 +17362 0 .016 -.025 +17363 .034 .185 .012 +17364 .077 .124 0 +17365 .083 .059 -.014 +17366 .023 .025 -.025 +17367 .008 .025 -.029 +17368 .019 .172 .011 +17369 .007 .211 .018 +17370 .017 .188 -.031 +17371 0 .19 -.057 +17372 -.011 .175 -.056 +17373 -.003 .172 -.041 +17374 -.011 .234 .039 +17375 -.015 .231 .021 +17376 -.017 .224 .012 +17377 -.011 .205 .024 +17378 0 .186 .056 +17379 -.019 .236 .127 +17380 -.007 .247 .159 +17381 -.027 .261 .152 +17382 -.01 .245 .13 +17383 .022 .189 -.01 +17384 -.007 .232 .042 +17385 -.029 .277 .17 +17386 -.022 .271 .192 +17387 -.007 .261 .207 +17388 .019 .27 .229 +17389 0 .256 .208 +17390 .068 .321 .011 +17391 -.017 .306 .123 +17392 .003 .322 .172 +17393 .021 .317 .179 +17394 .026 .323 .203 +17395 .068 .346 .257 +17396 .029 .364 .038 +17397 -.004 .332 .149 +17398 .017 .349 .138 +17399 .016 .354 .129 +17400 .024 .379 .147 +17401 .063 .39 .147 +17402 -.038 .367 .111 +17403 0 .35 .158 +17404 0 .36 .071 +17405 .013 .39 .034 +17406 .02 .404 .014 +17407 .051 .393 .011 +17408 -.06 .336 .104 +17409 .004 .285 -.04 +17410 .01 .265 -.077 +17411 .008 .314 -.079 +17412 .036 .301 -.081 +17413 .011 .354 .099 +17414 -.029 .316 .099 +17415 .017 .218 -.022 +17416 .018 .323 .03 +17417 .074 .282 .034 +17418 .04 .204 .024 +17419 .042 .132 -.012 +17420 .034 .293 .053 +17421 0 .261 -.007 +17422 .003 .175 -.008 +17423 -.059 .302 .029 +17424 -.045 .237 -.022 +17425 -.02 .15 -.006 +17426 -.091 .256 .02 +17427 -.059 .194 -.015 +17428 -.031 .118 -.004 +17429 -.072 .241 .017 +17430 -.034 .167 -.004 +17431 -.037 .036 .015 +17432 .026 .108 -.024 +17433 -.01 .07 -.042 +17434 .005 .068 -.044 +17435 .006 .069 -.005 +17436 .002 .072 -.029 +17437 .018 .117 -.04 +17438 -.038 .079 -.126 +17439 -.019 .124 -.105 +17440 .016 .08 -.022 +17441 -.006 .102 -.074 +17442 -.005 .095 -.001 +17443 .039 .101 -.136 +17444 .022 .076 -.105 +17445 -.01 .068 -.026 +17446 0 .064 -.077 +17447 .033 .022 -.079 +17448 -.017 .078 .013 +17449 -.005 .039 -.037 +17450 -.03 .062 .027 +17451 -.027 .057 -.02 +17452 .056 .033 .014 +17453 .018 .035 -.002 +17454 .003 .034 .001 +17455 .075 .051 -.017 +17456 .002 .034 -.007 +17457 .023 -.019 .008 +17458 .009 0 .037 +17459 -.04 .176 .018 +17460 -.018 .182 .017 +17461 -.017 .248 .094 +17462 .013 .256 .041 +17463 .022 .24 .023 +17464 .083 .074 -.008 +17465 .043 .155 .03 +17466 -.047 .025 .068 +17467 -.03 .047 .01 +17468 -.016 .049 .031 +17469 -.019 .083 .006 +17470 -.024 -.003 .021 +17471 -.017 .057 .036 +17472 .067 .172 .05 +17473 .01 .276 .032 +17474 -.036 .02 .033 +17475 -.043 .045 .043 +17476 .038 .151 .02 +17477 .063 .194 .09 +17478 .015 .226 .041 +17479 .042 .261 .037 +17480 -.014 .358 -.024 +17481 .027 .296 .014 +17482 -.031 .017 .031 +17483 -.005 .28 .084 +17484 -.003 .319 .054 +17485 -.04 .208 .012 +17486 -.018 .141 .007 +17487 -.042 .005 .081 +17488 -.04 .035 .015 +17489 -.016 .026 .027 +17490 -.028 .056 .006 +17491 -.024 .044 .042 +17492 -.047 .082 .057 +17493 -.008 .177 .049 +17494 .023 .207 .056 +17495 .029 .229 .08 +17496 -.002 .226 .113 +17497 .015 .163 .076 +17498 -.023 -.019 .041 +17499 -.017 .2 .108 +17500 -.028 .223 .145 +17501 -.033 .135 .031 +17502 -.02 .076 0 +17503 -.024 -.037 .076 +17504 -.044 -.008 .029 +17505 -.015 -.008 .017 +17506 -.033 .021 .003 +17507 -.028 0 .031 +17508 -.023 .025 .073 +17509 -.031 .045 .056 +17510 -.004 .08 .008 +17511 -.007 .126 .04 +17512 -.076 .013 .072 +17513 -.061 -.007 .019 +17514 -.008 -.032 .058 +17515 -.106 .045 .089 +17516 -.104 .021 .104 +17517 -.109 .012 .047 +17518 -.1 -.01 .004 +17519 -.001 -.052 .034 +17520 -.043 -.034 .039 +17521 -.027 -.053 -.017 +17522 -.071 -.048 -.021 +17523 -.01 -.024 .002 +17524 .005 -.019 .014 +17525 -.02 -.023 -.021 +17526 -.024 -.029 -.043 +17527 -.035 -.025 -.034 +17528 -.071 -.068 .052 +17529 -.054 -.079 -.009 +17530 -.038 -.083 .051 +17531 -.133 -.059 .094 +17532 -.087 -.045 .079 +17533 -.146 -.062 .055 +17534 -.15 -.055 .01 +17535 -.04 -.092 .026 +17536 -.037 -.076 .022 +17537 -.067 -.107 -.031 +17538 -.134 -.064 -.013 +17539 -.008 -.113 .007 +17540 .023 -.097 .027 +17541 -.019 -.064 -.004 +17542 -.02 -.073 -.022 +17543 -.031 -.082 -.037 +17544 -.067 .035 .02 +17545 -.082 .018 -.015 +17546 -.153 .032 .022 +17547 -.114 .033 .074 +17548 -.08 .043 .046 +17549 -.142 .058 .068 +17550 -.128 .065 .057 +17551 -.158 .037 .063 +17552 -.14 .031 -.013 +17553 -.121 .043 .048 +17554 -.116 .054 .02 +17555 -.099 .025 .036 +17556 -.086 .045 .032 +17557 -.029 .055 .009 +17558 -.028 .044 .009 +17559 -.038 .023 -.026 +17560 -.047 .018 .052 +17561 -.038 .008 .012 +17562 -.258 -.032 -.038 +17563 -.11 .028 .076 +17564 -.079 .022 .06 +17565 -.123 .027 .04 +17566 -.081 .023 .056 +17567 -.2 -.005 -.01 +17568 -.204 -.013 -.038 +17569 -.142 .007 .043 +17570 -.083 .021 .048 +17571 -.172 0 .003 +17572 -.156 .032 .048 +17573 -.014 .05 -.002 +17574 .011 .041 0 +17575 .011 .022 -.017 +17576 -.038 .003 .022 +17577 -.025 -.005 -.019 +17578 -.226 -.048 -.047 +17579 -.11 .044 .066 +17580 -.093 .008 .048 +17581 -.078 .035 .006 +17582 -.038 0 .027 +17583 -.192 -.042 -.046 +17584 -.256 -.068 -.026 +17585 -.145 -.021 .013 +17586 -.092 .002 .022 +17587 -.222 -.048 -.044 +17588 -.134 0 -.037 +17589 -.023 .009 -.055 +17590 -.022 -.005 -.057 +17591 -.017 -.004 -.063 +17592 -.029 .006 .042 +17593 -.005 .062 -.009 +17594 -.234 -.015 .053 +17595 -.125 -.003 .035 +17596 -.089 -.011 .051 +17597 -.054 .013 0 +17598 -.047 0 .009 +17599 -.159 -.014 .044 +17600 -.209 .022 .048 +17601 -.139 0 -.007 +17602 -.116 -.008 .01 +17603 -.161 .053 -.005 +17604 -.103 .069 -.072 +17605 -.04 .069 -.01 +17606 -.028 .084 -.041 +17607 -.02 .063 -.033 +17608 .013 .012 .056 +17609 .067 .03 .015 +17610 -.08 -.008 -.026 +17611 -.132 -.037 .031 +17612 -.061 -.015 .063 +17613 -.089 -.018 .003 +17614 -.083 -.01 -.017 +17615 -.104 -.028 -.005 +17616 -.16 .015 -.076 +17617 -.092 -.033 -.01 +17618 -.102 -.025 0 +17619 -.105 .039 -.067 +17620 -.065 .053 -.15 +17621 .037 .07 -.072 +17622 .071 .076 -.057 +17623 .062 .06 -.024 +17624 .036 -.091 .007 +17625 .093 -.071 -.034 +17626 -.047 -.101 -.07 +17627 -.082 -.111 .011 +17628 -.033 -.104 .022 +17629 -.073 -.115 -.013 +17630 -.06 -.114 -.018 +17631 -.09 -.114 -.054 +17632 -.025 -.081 -.093 +17633 -.055 -.116 -.028 +17634 -.047 -.136 .011 +17635 -.003 -.064 -.126 +17636 .02 -.061 -.177 +17637 .117 -.027 -.114 +17638 .125 -.039 -.092 +17639 .098 -.059 -.08 +17640 .035 .054 .019 +17641 .068 .072 -.007 +17642 .007 .038 -.052 +17643 -.048 -.03 .043 +17644 -.017 .029 .033 +17645 -.057 -.02 .026 +17646 -.052 -.003 .005 +17647 -.016 .025 -.033 +17648 .008 .051 -.099 +17649 .003 0 -.026 +17650 -.035 -.009 0 +17651 .015 .041 -.145 +17652 .053 .064 -.13 +17653 .108 .075 -.104 +17654 .104 .062 -.051 +17655 .063 .079 -.05 +17656 .011 .004 .005 +17657 .04 .011 -.017 +17658 .016 -.03 -.079 +17659 -.021 -.023 .018 +17660 -.023 -.015 .017 +17661 -.01 -.048 .002 +17662 -.002 -.046 -.031 +17663 .016 -.037 -.057 +17664 .047 -.026 -.109 +17665 .039 -.04 -.07 +17666 .015 -.036 -.053 +17667 .027 -.008 -.139 +17668 .042 -.008 -.125 +17669 .053 -.006 -.06 +17670 .064 .012 -.036 +17671 .02 .019 -.025 +17672 .009 .014 .033 +17673 .045 .003 .031 +17674 .038 -.005 -.053 +17675 -.009 .019 .022 +17676 -.002 .014 .034 +17677 .012 .019 .033 +17678 .015 .013 -.035 +17679 .04 -.004 -.039 +17680 .059 0 -.079 +17681 .074 .015 -.063 +17682 .022 .008 -.049 +17683 .049 0 -.099 +17684 .038 .019 -.115 +17685 .068 -.026 -.027 +17686 .071 .004 .005 +17687 .038 .038 .023 +17688 .059 .046 .082 +17689 .062 .064 .072 +17690 .031 .053 -.049 +17691 -.026 .068 -.01 +17692 .01 .058 .073 +17693 .007 .075 .008 +17694 .019 .049 -.015 +17695 .045 .056 -.029 +17696 .054 .061 -.065 +17697 .055 .057 -.044 +17698 .023 .054 -.031 +17699 .048 .061 -.087 +17700 .034 .069 -.084 +17701 .067 .061 -.011 +17702 .035 .104 .023 +17703 .048 .09 .036 +17704 .056 .03 .099 +17705 .063 .032 .073 +17706 .04 .037 -.038 +17707 -.009 .048 .003 +17708 .015 .055 .079 +17709 .007 .051 .022 +17710 .005 .04 .013 +17711 .046 .038 -.012 +17712 .028 .029 -.071 +17713 .06 .015 -.003 +17714 .023 .031 0 +17715 .054 .04 -.056 +17716 .058 .053 -.046 +17717 .075 .062 .005 +17718 .064 .057 .031 +17719 .063 .044 .032 +17720 .045 .057 .091 +17721 .067 .059 .05 +17722 -.012 .034 .002 +17723 .052 .034 -.04 +17724 .057 .038 -.031 +17725 .074 .048 -.021 +17726 .072 .055 -.008 +17727 .056 .048 .028 +17728 -.107 .079 .015 +17729 .02 .117 .028 +17730 0 .091 .014 +17731 -.028 .158 .031 +17732 -.032 .032 .083 +17733 -.005 -.027 -.002 +17734 0 -.054 .009 +17735 -.04 .037 .009 +17736 -.083 .051 -.019 +17737 -.053 .004 -.078 +17738 -.061 .103 -.107 +17739 -.006 .042 -.121 +17740 .083 -.078 -.154 +17741 .076 .063 -.139 +17742 .044 -.008 -.089 +17743 .073 -.028 -.063 +17744 .048 .063 -.046 +17745 .067 .056 -.024 +17746 -.051 -.009 .025 +17747 -.027 -.002 0 +17748 -.036 .005 -.006 +17749 -.038 .022 -.034 +17750 -.032 .048 -.054 +17751 -.036 .05 -.043 +17752 -.035 .064 -.02 +17753 -.047 .083 .046 +17754 -.068 .12 .107 +17755 -.095 .148 .145 +17756 -.087 .151 .101 +17757 -.081 .091 .039 +17758 -.064 .039 0 +17759 -.045 -.009 -.01 +17760 -.013 -.032 .005 +17761 -.014 -.047 .064 +17762 -.017 -.011 .044 +17763 0 -.07 -.036 +17764 -.023 -.031 .012 +17765 0 -.023 -.014 +17766 -.006 .068 -.017 +17767 -.023 .017 .07 +17768 -.018 -.032 -.013 +17769 -.006 -.038 .006 +17770 -.014 -.063 .004 +17771 -.069 -.087 .021 +17772 -.067 .033 .039 +17773 0 -.03 -.037 +17774 .024 -.02 -.047 +17775 .009 -.027 -.052 +17776 -.026 .014 .011 +17777 -.083 .029 -.054 +17778 0 -.049 .027 +17779 -.04 -.024 -.066 +17780 -.059 -.027 -.087 +17781 -.05 -.032 -.117 +17782 -.063 -.005 -.132 +17783 -.011 -.014 -.018 +17784 -.069 .038 -.033 +17785 -.065 .024 -.027 +17786 -.105 0 -.163 +17787 -.087 -.027 -.105 +17788 -.07 -.046 -.08 +17789 -.103 .036 -.048 +17790 -.068 -.027 -.125 +17791 .053 -.071 -.036 +17792 -.056 .04 -.013 +17793 -.01 0 .027 +17794 0 -.003 .016 +17795 -.006 -.019 -.03 +17796 -.109 -.026 -.138 +17797 -.136 .065 -.095 +17798 -.083 .026 -.017 +17799 -.092 -.048 -.089 +17800 -.064 -.04 -.063 +17801 -.056 -.025 -.077 +17802 -.041 -.01 -.056 +17803 0 -.034 .036 +17804 0 -.057 .004 +17805 -.023 -.03 -.071 +17806 -.047 -.036 -.106 +17807 -.095 -.054 -.099 +17808 -.096 -.028 -.126 +17809 .035 0 .067 +17810 .025 .034 .103 +17811 0 .014 .085 +17812 .026 .01 .108 +17813 -.038 -.003 .044 +17814 .055 -.048 -.07 +17815 -.021 .007 .063 +17816 .011 -.014 .013 +17817 -.003 0 -.086 +17818 -.006 .004 -.089 +17819 -.002 -.032 -.075 +17820 -.014 0 -.089 +17821 -.002 .01 -.058 +17822 0 -.053 -.019 +17823 -.06 -.004 -.007 +17824 .044 .011 -.063 +17825 -.063 -.011 .009 +17826 -.053 -.017 -.012 +17827 .027 .017 -.039 +17828 .028 -.011 -.071 +17829 .019 -.009 -.069 +17830 .005 .002 -.062 +17831 .008 -.002 -.066 +17832 .013 -.002 -.063 +17833 .016 .008 -.056 +17834 -.009 .008 -.038 +17835 -.003 .009 -.035 +17836 -.005 .003 -.025 +17837 -.013 -.012 -.019 +17838 -.013 -.019 -.027 +17839 -.008 -.014 -.023 +17840 -.014 .028 -.017 +17841 .003 .063 -.024 +17842 -.002 .119 -.017 +17843 -.005 .173 0 +17844 .006 .205 .03 +17845 .035 .203 .113 +17846 .067 .265 .215 +17847 .148 .347 .224 +17848 .111 .416 .105 +17849 .078 .378 -.021 +17850 .036 .235 .004 +17851 .052 .147 -.011 +17852 .008 .107 .013 +17853 -.029 .118 .018 +17854 -.024 .102 .032 +17855 -.054 .096 .008 +17856 -.063 .07 -.055 +17857 -.038 .066 -.102 +17858 -.02 .107 -.125 +17859 -.035 .055 -.127 +17860 -.012 .07 -.048 +17861 -.009 .03 .011 +17862 -.015 .008 -.022 +17863 -.042 .035 -.028 +17864 -.03 .016 -.031 +17865 -.024 .026 -.036 +17866 .005 -.03 .055 +17867 -.019 -.009 .046 +17868 -.017 -.017 .017 +17869 -.004 -.017 -.089 +17870 .021 -.004 -.067 +17871 0 0 -.047 +17872 0 -.024 .041 +17873 -.033 -.005 -.046 +17874 -.059 -.025 -.052 +17875 -.074 -.045 -.046 +17876 -.079 -.034 -.065 +17877 -.086 .018 -.029 +17878 -.075 .005 -.025 +17879 -.027 -.004 .025 +17880 -.054 0 .027 +17881 .004 .018 -.051 +17882 0 -.016 0 +17883 -.005 .022 -.007 +17884 -.018 -.019 .044 +17885 .008 -.058 .015 +17886 -.037 -.068 .035 +17887 .035 .023 -.025 +17888 0 -.034 .041 +17889 -.014 -.011 .027 +17890 -.044 -.052 .031 +17891 -.004 -.047 .022 +17892 -.015 -.061 .037 +17893 .025 -.004 0 +17894 0 -.021 .055 +17895 -.022 -.017 .067 +17896 -.029 -.045 .047 +17897 -.022 -.024 .037 +17898 -.009 -.056 .032 +17899 .017 -.011 .063 +17900 0 -.025 .062 +17901 -.012 -.016 .064 +17902 -.031 -.039 .027 +17903 -.028 -.033 -.012 +17904 -.02 -.033 .015 +17905 .032 -.015 .068 +17906 0 -.07 .023 +17907 .011 -.051 .041 +17908 -.012 -.036 .017 +17909 -.027 -.03 -.026 +17910 -.034 -.043 -.017 +17911 .029 -.053 .031 +17912 0 .027 .03 +17913 -.028 -.007 .006 +17914 -.011 -.002 -.021 +17915 -.006 -.002 -.01 +17916 0 -.021 .016 +17917 0 .039 .004 +17918 -.003 .021 .004 +17919 -.006 .012 -.009 +17920 -.012 .018 0 +17921 -.008 .019 0 +17922 0 .022 0 +17923 0 .002 0 +17924 0 .011 -.01 +17925 -.012 .013 .009 +17926 -.021 .004 .005 +17927 0 .009 -.004 +17928 -.003 -.003 0 +17929 -.004 .009 .009 +17930 -.016 -.009 .022 +17931 -.014 0 0 +17932 0 -.028 -.021 +17933 -.002 -.037 0 +17934 0 -.028 .016 +17935 -.016 -.029 .031 +17936 -.015 -.038 -.005 +17937 0 -.015 -.018 +17938 -.011 -.042 .019 +17939 .004 -.046 .014 +17940 0 -.007 0 +17941 -.006 -.042 .007 +17942 -.005 -.043 .015 +17943 -.002 .006 0 +17944 -.021 -.025 .012 +17945 -.02 -.023 .024 +17946 0 -.009 .008 +17947 -.016 -.01 .016 +17948 -.024 -.011 .008 +17949 .018 -.046 .015 +17950 .005 -.038 .015 +17951 -.015 -.024 -.023 +17952 0 -.027 -.003 +17953 0 -.009 -.006 +17954 0 .028 .018 +17955 0 .06 0 +17956 0 .107 -.002 +17957 0 .152 .015 +17958 0 .245 .124 +17959 0 .365 .214 +17960 0 .385 .053 +17961 0 .375 -.042 +17962 0 .209 -.037 +17963 0 .089 .013 +17964 0 .069 -.056 +17965 0 .054 -.122 +17966 0 .119 -.127 +17967 0 .071 -.101 +17968 0 .044 -.001 +17969 0 .095 -.027 +17970 0 .112 .019 +17971 0 .124 .011 +17972 0 .089 .005 +17973 0 .115 .017 +17974 0 -.006 -.011 +17975 0 -.012 -.035 +17976 -.01 .012 -.018 +17977 -.015 -.01 .013 +17978 .001 -.005 -.037 +17979 .011 -.01 -.017 +17980 .027 -.02 .019 +17981 .03 -.022 .035 +17982 .023 0 -.009 +17983 .021 .002 -.03 +17984 .002 -.017 -.006 +17985 0 -.021 -.024 +17986 .022 .003 -.004 +17987 .005 .008 -.024 +17988 .015 .033 -.037 +17989 .012 -.02 -.027 +17990 0 -.017 -.022 +17991 .014 -.016 .027 +17992 .015 -.02 .036 +17993 .022 .009 .002 +17994 -.021 -.021 .002 +17995 -.002 -.016 -.019 +17996 .003 .004 0 +17997 .018 .01 .003 +17998 .029 -.034 -.011 +17999 .008 -.002 .02 +18000 -.007 -.029 .015 +18001 .018 -.011 .016 +18866 0 .005 0 +18867 0 .008 0 +18868 0 .071 .004 +18869 0 .079 .005 +18870 0 .165 .011 +18871 0 .186 .012 +18898 0 .007 0 +18899 0 .008 0 +18900 0 .074 .005 +18901 0 .079 .005 +18902 0 .197 .013 +18903 0 .194 .013 +18926 -.005 -.002 -.084 +18928 -.005 -.003 -.084 +18930 0 .008 0 +18931 0 .008 0 +18932 0 .078 .005 +18933 0 .073 .005 +18934 0 .186 .012 +18935 0 .195 .013 +19080 0 .005 0 +19081 0 .008 0 +19082 0 .071 .004 +19083 0 .079 .005 +19084 0 .165 .011 +19085 0 .186 .012 +19112 0 .007 0 +19113 0 .008 0 +19114 0 .074 .005 +19115 0 .079 .005 +19116 0 .197 .013 +19117 0 .194 .013 +19140 .005 -.002 -.084 +19142 .005 -.003 -.084 +19144 0 .008 0 +19145 0 .008 0 +19146 0 .078 .005 +19147 0 .073 .005 +19148 0 .186 .012 +19149 0 .195 .013 diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mhlib.py b/third_party/UO_Model3D_v13/pipeline/body13/mhlib.py new file mode 100644 index 0000000..c37bef1 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mhlib.py @@ -0,0 +1,23 @@ +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import json, numpy as np +MH = os.path.join(HERE, "mh", "") +def load_mh(muscle=0.6, male=1.0): + V, F, grp = [], [], None + for line in open(MH + "base.obj"): + if line.startswith("v "): V.append([float(x) for x in line.split()[1:4]]) + elif line.startswith("g "): grp = line.split()[1] + elif line.startswith("f ") and grp == "body": F.append([int(t.split("/")[0]) - 1 for t in line.split()[1:]]) + V = np.array(V) + def target(fn, w): + for line in open(MH + fn): + if line[0].isdigit(): + p = line.split(); V[int(p[0])] += w * np.array([float(x) for x in p[1:4]]) + target("male.target", male) + if muscle: target("universal-male-young-maxmuscle-averageweight.target", muscle) + P = V[:, [0, 2, 1]] * np.array([1.0, -1.0, 1.0]) * 0.1 # MH: Y up, dm, faces +Z -> Blender Z up, m, faces -Y + sk = json.load(open(MH + "default.mhskel")) + J = {k: P[v].mean(0) for k, v in sk["joints"].items()} + bones = {b: (J[d["head"]], J[d["tail"]], d["parent"]) for b, d in sk["bones"].items()} + W = json.load(open(MH + "default_weights.mhw"))["weights"] + return P, F, bones, W diff --git a/third_party/UO_Model3D_v13/pipeline/body13/mounted.py b/third_party/UO_Model3D_v13/pipeline/body13/mounted.py new file mode 100644 index 0000000..4187dce --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/mounted.py @@ -0,0 +1,79 @@ +"""mounted frames: the rider is seen only where it is in front of the horse (or off the horse); the body must stay out +of the horse proxy (penalty on skin inside it, deeper than a small tolerance - the proxy is a visual hull, a bit fat).""" +import numpy as np +from numba import njit +import fastr +from fastr import raster_one +from posefit13 import Frame13, EXTRA0 +from horse_sdf import sample, depth_raster, H +from fk import rig_world + +TOL = 0.04 # m of the proxy the skin may enter (visual hull is conservative) +W_PEN = 0.3 # IoU per metre of summed penetration (per vertex) + + +@njit(cache=True) +def score_occ(V, CW, idx, w, T, masks, HD): + nv = CW.shape[0]; N = V.shape[0]; K = idx.shape[1] + S = np.empty((N, 2)); Z = np.empty(N) + res = np.zeros((nv, 4)) + for v in range(nv): + for n in range(N): + x = 0.0; y = 0.0; z = 0.0 + for k in range(K): + wk = w[n, k] + if wk == 0.0: continue + M = CW[v, idx[n, k]] + x += wk * (M[0, 0] * V[n, 0] + M[0, 1] * V[n, 1] + M[0, 2] * V[n, 2] + M[0, 3]) + y += wk * (M[1, 0] * V[n, 0] + M[1, 1] * V[n, 1] + M[1, 2] * V[n, 2] + M[1, 3]) + z += wk * (M[2, 0] * V[n, 0] + M[2, 1] * V[n, 1] + M[2, 2] * V[n, 2] + M[2, 3]) + S[n, 0] = (x + 1.0) * 68.0; S[n, 1] = (1.0 - y) * 60.0; Z[n] = z + D = np.full((120, 136), np.inf) + depth_raster(S, Z, T, D) + o = masks[v]; hd = HD[v] + a = 0; u = 0; out = 0; mis = 0 + for yy in range(120): + for xx in range(136): + m = D[yy, xx] < hd[yy, xx] + g = o[yy, xx] + if m and g: a += 1 + if m or g: u += 1 + if m and not g: out += 1 + if g and not m: mis += 1 + res[v, 0] = a; res[v, 1] = u; res[v, 2] = out; res[v, 3] = mis + return res + + +def horse_depth(HV, HT, C, dirs): + out = np.full((len(dirs), 120, 136), np.inf) + for k, d in enumerate(dirs): + M = C[k] @ rig_world(d) + h = np.c_[HV, np.ones(len(HV))] @ M.T + S = np.stack([(h[:, 0] + 1) * 68.0, (1 - h[:, 1]) * 60.0], 1); Z = h[:, 2].copy() + depth_raster(S, Z, HT.astype(np.int32), out[k]) + return out + + +class MountedFrame(Frame13): + def __init__(self, *a, HV=None, HT=None, sdf=None, lo=None, pen_sel=None, **k): + super().__init__(*a, **k) + self.HD = horse_depth(HV, HT, self.C, self.dirs) + self.sdf, self.lo = sdf, lo + self.pen_sel = pen_sel # vertices tested for penetration (legs, pelvis) + + def penetration(self, S): + idx, w = self.idx[self.pen_sel], self.w[self.pen_sel]; V = self.V[self.pen_sel] + Vh = np.c_[V, np.ones(len(V))] + X = np.einsum("nk,nkij,nj->ni", w, S[idx], Vh)[:, :3] + d = sample(self.sdf, self.lo, H, X) + return np.maximum(0, -d - TOL).sum() + + def eval(self, x): + S = self.skin(x) + mats = np.array([self.C[k] @ self.RW[k] @ S for k in range(len(self.dirs))]) + res = score_occ(self.V, mats, self.idx, self.w, self.T, self.masks, self.HD) + iou = (res[:, 0] / np.maximum(res[:, 1], 1)).mean() + L = self.L + pen = self.reg_rot * np.sum(x[:60] ** 2) + self.reg_g * np.sum(x[L.o_g:L.o_e] ** 2) + 0.002 * np.sum((x[L.o_e:] - EXTRA0) ** 2) + self.last_pen = self.penetration(S) + return iou - pen - W_PEN * self.last_pen, iou, res diff --git a/third_party/UO_Model3D_v13/pipeline/body13/posefit.py b/third_party/UO_Model3D_v13/pipeline/body13/posefit.py new file mode 100644 index 0000000..f07a417 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/posefit.py @@ -0,0 +1,106 @@ +"""per-frame pose refit against the original frames (all 5 directions share one pose). +Parameters per frame: rotation vector increment per bone (on top of the start pose) + pelvis location. +Coordinate search with shrinking steps on mean IoU of the 5 views, small pull towards the start pose.""" +import numpy as np +from numba import njit +import fastr +from fastr import raster_one +from fk import qmat, rig_world + + +def rotvec(r): + th = np.linalg.norm(r) + if th < 1e-12: + return np.eye(3) + k = r / th; K = np.array([[0, -k[2], k[1]], [k[2], 0, -k[0]], [-k[1], k[0], 0]]) + return np.eye(3) + np.sin(th) * K + (1 - np.cos(th)) * K @ K + + +@njit(cache=True) +def score_views(V, CW, idx, w, T, masks): + nv = CW.shape[0]; N = V.shape[0]; K = idx.shape[1] + S = np.empty((N, 2)) + tot = 0.0 + res = np.zeros((nv, 4)) + for v in range(nv): + for n in range(N): + x = 0.0; y = 0.0 + for k in range(K): + wk = w[n, k] + if wk == 0.0: + continue + M = CW[v, idx[n, k]] + x += wk * (M[0, 0] * V[n, 0] + M[0, 1] * V[n, 1] + M[0, 2] * V[n, 2] + M[0, 3]) + y += wk * (M[1, 0] * V[n, 0] + M[1, 1] * V[n, 1] + M[1, 2] * V[n, 2] + M[1, 3]) + S[n, 0] = (x + 1.0) * 68.0; S[n, 1] = (1.0 - y) * 60.0 + img = np.zeros((120, 136), np.bool_) + raster_one(S, T, img) + o = masks[v] + a = 0; u = 0; out = 0; mis = 0 + for yy in range(120): + for xx in range(136): + m = img[yy, xx]; g = o[yy, xx] + if m and g: a += 1 + if m or g: u += 1 + if m and not g: out += 1 + if g and not m: mis += 1 + res[v, 0] = a; res[v, 1] = u; res[v, 2] = out; res[v, 3] = mis + return res + + +class Frame: + def __init__(self, V, idx, w, T, R, parent, Brel, C, masks, dirs, loc0, quat0, movable, reg=0.002): + self.V, self.idx, self.w, self.T = V, idx, w, T + self.R, self.parent, self.Brel = R, parent, Brel + self.Rinv = np.linalg.inv(R) + self.C, self.masks, self.dirs = C, masks, dirs + self.loc0, self.rot0 = loc0.copy(), np.array([qmat(q) for q in quat0]) + self.movable = movable; self.reg = reg + self.RW = [rig_world(d) for d in dirs] + self.girth_ok = [True] * len(R) + + def mats(self, x): + B = len(self.R); P = np.zeros((B, 4, 4)) + r = x[:3 * B].reshape(B, 3); dl = x[3 * B:3 * B + 3] + g = x[3 * B + 3:].reshape(B, 2) if len(x) > 3 * B + 3 else np.zeros((B, 2)) + for b in range(B): + M = np.eye(4); M[:3, :3] = self.rot0[b] @ rotvec(r[b]); M[:3, 3] = self.loc0[b] + (dl if b == 0 else 0) + p = self.parent[b] + P[b] = (self.R[b] if p < 0 else P[p] @ self.Rinv[p] @ self.R[b]) @ M + G = np.tile(np.eye(4), (B, 1, 1)); G[:, 0, 0] = np.exp(g[:, 0]); G[:, 2, 2] = np.exp(g[:, 1]) + S = P @ G @ self.Rinv @ self.Brel + return np.array([self.C[k] @ self.RW[k] @ S for k in range(len(self.dirs))]) + + def eval(self, x): + res = score_views(self.V, self.mats(x), self.idx, self.w, self.T, self.masks) + iou = (res[:, 0] / np.maximum(res[:, 1], 1)).mean() + return iou - self.reg * np.sum(x ** 2), iou, res + + def fit(self, steps=(0.12, 0.06, 0.03, 0.015, 0.008), loc_scale=0.05, passes=2, girth=False, x0=None): + B = len(self.R); x = np.zeros(3 * B + 3 + (2 * B if girth else 0)) + if x0 is not None: + x[:len(x0)] = x0 + f, iou0, _ = self.eval(x); f0 = f + free = [3 * b + k for b in range(B) if self.movable[b] for k in range(3)] + [3 * B, 3 * B + 1, 3 * B + 2] + if girth: + free += [3 * B + 3 + 2 * b + k for b in range(B) if self.girth_ok[b] for k in range(2)] + for st in steps: + for _ in range(passes): + imp = False + for i in free: + s = st * (loc_scale if 3 * B <= i < 3 * B + 3 else 1.0) + for sgn in (1, -1): + y = x.copy(); y[i] += sgn * s + fy = self.eval(y)[0] + if fy > f + 1e-6: + x, f = y, fy; imp = True + while True: + y = x.copy(); y[i] += sgn * s + fy = self.eval(y)[0] + if fy > f + 1e-6: x, f = y, fy + else: break + break + if not imp: + break + _, iou1, res = self.eval(x) + return x, iou0, iou1, res diff --git a/third_party/UO_Model3D_v13/pipeline/body13/posefit13.py b/third_party/UO_Model3D_v13/pipeline/body13/posefit13.py new file mode 100644 index 0000000..ec7799b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/posefit13.py @@ -0,0 +1,99 @@ +"""per-frame pose refit on the 55-bone v13 skeleton (5 directions share one pose). +x = [19x3 rotation increments of the UO bones | pelvis location | girth (log scale x, z) of GIRTH bones | curl.L curl.R thumb.L thumb.R toe.L toe.R] +Girth is a bone scale on local X / Z; the next bone of the chain does not inherit it (Blender: Inherit Scale = None), +leaf bones (twist, fingers, toe) do.""" +import numpy as np +from posefit import rotvec, score_views +from fk import qmat, rig_world +from skel13 import SIDES + +GIRTH = ["upper_arm.L", "forearm.L", "hand.L", "upper_arm.R", "forearm.R", "hand.R", "thigh.L", "shin.L", "foot.L", + "thigh.R", "shin.R", "foot.R", "head"] +NO_INHERIT = {"forearm.L", "hand.L", "forearm.R", "hand.R", "shin.L", "foot.L", "shin.R", "foot.R"} +EXTRA = ["curl.L", "curl.R", "thumb.L", "thumb.R", "toe.L", "toe.R"] +EXTRA0 = np.array([1.0, 1.0, 1.0, 1.0, 0.0, 0.0]) + + +class Layout: + def __init__(self, names): + self.names = names; self.n19 = 19 + self.gi = [names.index(b) for b in GIRTH] + self.o_loc = 57; self.o_g = 60; self.o_e = 60 + 2 * len(GIRTH); self.size = self.o_e + len(EXTRA) + + def zero(self): + x = np.zeros(self.size); x[self.o_e:] = EXTRA0; return x + + +class Frame13: + def __init__(self, K, V, idx, w, T, Brel, C, masks, dirs, loc0, quat0, reg_rot=0.002, reg_g=0.02): + self.K, self.V, self.idx, self.w, self.T, self.Brel = K, V, idx, w, T, Brel + self.R, self.parent = K.R, K.parent; self.Rinv = np.linalg.inv(K.R) + self.C, self.masks, self.dirs = C, masks, dirs + self.RW = [rig_world(d) for d in dirs] + self.loc0 = loc0; self.rot0 = np.array([qmat(q) for q in quat0]) + self.L = Layout(K.names); self.reg_rot, self.reg_g = reg_rot, reg_g + self.noinh = np.array([n in NO_INHERIT for n in K.names]) + + def skin(self, x): + L = self.L; K = self.K; B = len(K.names) + r = x[:57].reshape(19, 3); dl = x[57:60]; g = x[L.o_g:L.o_e].reshape(-1, 2); e = x[L.o_e:] + ext = K.extra_bases({".L": e[0], ".R": e[1]}, {".L": e[2], ".R": e[3]}, {".L": e[4], ".R": e[5]}) + G = np.tile(np.eye(4), (B, 1, 1)) + for k, b in enumerate(L.gi): + G[b, 0, 0] = np.exp(g[k, 0]); G[b, 2, 2] = np.exp(g[k, 1]) + Pn = np.zeros((B, 4, 4)); Pf = np.zeros((B, 4, 4)) + for b in range(B): + M = np.eye(4) + if b < 19: + M[:3, :3] = self.rot0[b] @ rotvec(r[b]); M[:3, 3] = self.loc0[b] + (dl if b == 0 else 0) + else: + M[:3, :3] = ext[K.names[b]] + p = self.parent[b] + if p < 0: + Pn[b] = self.R[b] @ M + else: + Pn[b] = (Pn[p] if self.noinh[b] else Pf[p]) @ self.Rinv[p] @ self.R[b] @ M + Pf[b] = Pn[b] @ G[b] + return Pf @ self.Rinv @ self.Brel + + def mats(self, x): + S = self.skin(x) + return np.array([self.C[k] @ self.RW[k] @ S for k in range(len(self.dirs))]) + + def eval(self, x): + res = score_views(self.V, self.mats(x), self.idx, self.w, self.T, self.masks) + iou = (res[:, 0] / np.maximum(res[:, 1], 1)).mean() + L = self.L + pen = self.reg_rot * np.sum(x[:60] ** 2) + self.reg_g * np.sum(x[L.o_g:L.o_e] ** 2) + 0.002 * np.sum((x[L.o_e:] - EXTRA0) ** 2) + return iou - pen, iou, res + + def fit(self, x0=None, steps=(0.12, 0.06, 0.03, 0.015, 0.008), passes=2, fix_extra=False): + L = self.L; x = L.zero() if x0 is None else x0.copy() + f, iou0, _ = self.eval(x) + free = list(range(60)) + list(range(L.o_g, L.o_e)) + ([] if fix_extra else list(range(L.o_e, L.size))) + mult = np.ones(L.size); mult[57:60] = 0.05; mult[L.o_g:L.o_e] = 0.5; mult[L.o_e:] = 2.0 + lo = np.full(L.size, -np.inf); hi = np.full(L.size, np.inf) + lo[L.o_g:L.o_e] = -0.35; hi[L.o_g:L.o_e] = 0.35 + lo[L.o_e:L.o_e + 4] = -0.2; hi[L.o_e:L.o_e + 4] = 1.2; lo[L.o_e + 4:] = -0.6; hi[L.o_e + 4:] = 0.8 + for st in steps: + for _ in range(passes): + imp = False + for i in free: + s = st * mult[i] + for sgn in (1, -1): + y = x.copy(); y[i] = np.clip(y[i] + sgn * s, lo[i], hi[i]) + if y[i] == x[i]: continue + fy = self.eval(y)[0] + if fy > f + 1e-6: + x, f = y, fy; imp = True + while True: + y = x.copy(); y[i] = np.clip(y[i] + sgn * s, lo[i], hi[i]) + if y[i] == x[i]: break + fy = self.eval(y)[0] + if fy > f + 1e-6: x, f = y, fy + else: break + break + if not imp: + break + _, iou1, res = self.eval(x) + return x, iou0, iou1, res diff --git a/third_party/UO_Model3D_v13/pipeline/body13/poses13_m3.json b/third_party/UO_Model3D_v13/pipeline/body13/poses13_m3.json new file mode 100644 index 0000000..05e0e8b --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/poses13_m3.json @@ -0,0 +1 @@ +{"23,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.052, 0.0, -0.03, -0.11199999999999999, -0.03, -0.12, 0.0, 0.0, 0.0, -0.11199999999999999, 0.0, 0.03, 0.03, 0.0, 0.0, 0.0, 0.0, -0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.105, 0.12, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.06, -0.12, 0.0, -0.12, -0.21, 0.0, 0.0, 0.27, 0.24, 0.0, -0.018000000000000002, -0.006, -0.011, -0.03, 0.0, -0.135, 0.0, 0.0, 0.22099999999999997, 0.0, 0.026, 0.0, 0.0, 0.0, 0.03, 0.08249999999999999, 0.06, 0.06, 0.011, -0.0075, 0.045, 0.06, 0.071, 0.0, 0.0, 0.0, -0.0335, 0.0, 1.0, 0.88, 1.0, 0.64, -0.44999999999999996, 0.0], "iou0": 0.8150713319015555, "iou": 0.8615669469674538, "res": [[591.0, 752.0, 57.0, 104.0], [622.0, 696.0, 43.0, 31.0], [551.0, 618.0, 41.0, 26.0], [610.0, 703.0, 33.0, 60.0], [683.0, 786.0, 32.0, 71.0]], "pen0": 0.28995540160613203, "pen": 0.0004997092472305772}, "23,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.404, 0.0, -0.105, -0.26899999999999996, 0.0, -0.12, -0.12, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.045, 0.0, 0.0, 0.0, -0.12, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.045, 0.0, 0.0, 0.21, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, -0.12, 0.0, 0.0, -0.12, 0.0, 0.008, -0.46499999999999997, 0.03, 0.0, 0.0, -0.075, -0.006, -0.012, 0.0, 0.0525, -0.03, 0.0, -0.026, 0.0, 0.0, 0.06, 0.0525, 0.011, 0.0, 0.0, 0.0, 0.1725, 0.105, 0.0225, 0.15749999999999997, 0.03, 0.0265, 0.18, 0.004, -0.015, 0.135, 0.0, 0.0, 0.0375, 0.03, 1.02, 0.88, 1.0, 0.91, -0.6, 0.0], "iou0": 0.8164146453043821, "iou": 0.854910324914691, "res": [[587.0, 738.0, 67.0, 84.0], [618.0, 709.0, 51.0, 40.0], [553.0, 626.0, 58.0, 15.0], [609.0, 716.0, 52.0, 55.0], [684.0, 783.0, 31.0, 68.0]], "pen0": 0.26516229903663435, "pen": 0.05572647054739131}, "23,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.18, 0.0, -0.03, 0.03, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.06, -0.262, 0.0, 0.045, 0.0, 0.08199999999999999, -0.12, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.21, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, 0.0, 0.09, 0.12, 0.0, -0.09, -0.15, 0.0, 0.0, -0.12, 0.0, 0.0, -0.20199999999999996, 0.0, 0.0, 0.0, 0.089, 0.0, -0.012, 0.0, 0.0935, -0.0225, 0.0, 0.0, 0.0, 0.0, 0.09, 0.0225, -0.03, -0.12, 0.0, 0.0, 0.1725, 0.079, 0.015, 0.055999999999999994, 0.0, 0.015, 0.146, 0.0525, -0.011, 0.0, 0.009999999999999998, 0.0, 0.0525, -0.03, 1.0, 1.0, 1.0, 1.0, -0.12, 0.0], "iou0": 0.8140218240011483, "iou": 0.8630673924585773, "res": [[565.0, 704.0, 54.0, 85.0], [605.0, 688.0, 37.0, 46.0], [563.0, 631.0, 45.0, 23.0], [611.0, 715.0, 46.0, 58.0], [657.0, 741.0, 24.0, 60.0]], "pen0": 0.23523549029827934, "pen": 0.02177011502480622}, "23,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.195, 0.0, -0.105, -0.21000000000000002, 0.0, -0.015, 0.0, 0.0, 0.0, -0.12, 0.0, 0.097, 0.0, 0.0, 0.0, 0.0, -0.028999999999999998, -0.12, 0.12, -0.015, -0.022, 0.12, 0.0, -0.128, 0.0, 0.0, 0.0, 0.09, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.09, -0.42, 0.0, 0.03, -0.12, -0.015, 0.0, -0.255, 0.06, -0.015, 0.015, -0.015, 0.0, -0.012, 0.0, 0.06749999999999998, 0.055999999999999994, 0.0185, 0.071, 0.0, 0.0, 0.16149999999999998, 0.015, -0.0185, 0.0, 0.0, 0.0525, 0.2475, -0.015, 0.11249999999999999, 0.0635, 0.075, -0.0075, 0.19499999999999998, 0.124, 0.0, 0.0, 0.0, 0.0, 0.0675, -0.0075, 1.0, 0.47600000000000003, 1.0, 1.0, 0.284, 0.0], "iou0": 0.8185042090066037, "iou": 0.8663946531394477, "res": [[612.0, 730.0, 57.0, 61.0], [625.0, 709.0, 52.0, 32.0], [557.0, 628.0, 50.0, 21.0], [614.0, 716.0, 45.0, 57.0], [675.0, 778.0, 47.0, 56.0]], "pen0": 0.2008628553930637, "pen": 0.020627409585922428}, "23,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.21, 0.0, -0.098, -0.195, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.075, -0.12, 0.0, 0.0, -0.075, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, -0.12, 0.0, 0.0, -0.12, 0.0, 0.03, -0.36, 0.0, 0.0, 0.06, 0.0, 0.0, -0.018000000000000002, 0.0, -0.045, -0.015, 0.0675, -0.015, 0.0, 0.0, 0.055999999999999994, 0.06, -0.0375, -0.05199999999999999, 0.0, 0.15749999999999997, 0.135, 0.0225, 0.045, 0.071, 0.0, 0.0, 0.124, 0.22849999999999998, -0.0185, 0.055999999999999994, -0.045, 0.0, 0.034, 0.0075, 1.0, 1.0, 1.0, 1.074, -0.46399999999999997, 0.0], "iou0": 0.808081452941412, "iou": 0.8490555907784628, "res": [[531.0, 661.0, 46.0, 84.0], [578.0, 667.0, 46.0, 43.0], [541.0, 627.0, 52.0, 34.0], [587.0, 700.0, 43.0, 70.0], [638.0, 730.0, 28.0, 64.0]], "pen0": 0.31593087462101543, "pen": 0.017722839685970576}, "24,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, -0.12, -0.015, 0.0, -0.06, -0.075, 0.12, 0.0, -0.12, 0.0, 0.0, -0.12, 0.0, 0.0, 0.135, 0.0, 0.0, 0.18, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.12, -0.08199999999999999, -0.12, 0.0, 0.0, 0.382, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, -0.09, 0.0, 0.0, -0.12, 0.0, 0.0, -0.36, 0.0, 0.0, -0.12, 0.0, 0.0, -0.012, -0.006, -0.08249999999999999, -0.0225, 0.045, 0.0, 0.0, 0.0, 0.135, 0.075, -0.045, 0.0, 0.022, 0.0975, 0.15749999999999997, 0.075, -0.055999999999999994, 0.184, 0.0525, -0.124, 0.015, 0.08249999999999999, -0.055999999999999994, 0.09, 0.06, 0.0, 0.09, -0.03, 1.0, 0.79, 1.0, 1.154, -0.24, -0.18], "iou0": 0.8112967874223674, "iou": 0.8629772818346337, "res": [[621.0, 777.0, 72.0, 84.0], [614.0, 703.0, 48.0, 41.0], [570.0, 620.0, 35.0, 15.0], [603.0, 717.0, 58.0, 56.0], [687.0, 779.0, 41.0, 51.0]], "pen0": 0.1635075566095317, "pen": 0.0}, "24,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.03, 0.0, -0.052, -0.059000000000000004, 0.0, -0.06, 0.0, 0.0, 0.0, -0.12, -0.06, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, -0.12, 0.24, 0.0, 0.0, 0.06, -0.12, -0.24, 0.23199999999999998, 0.0, 0.18, 0.12, 0.172, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.187, -0.008, 0.015, -0.12, 0.0, 0.0, -0.12, 0.0, 0.03, 0.015, 0.12, 0.0, -0.015, 0.0, 0.0, -0.075, -0.011, -0.09, 0.0, 0.0, 0.10849999999999999, 0.15349999999999997, 0.0, 0.0, 0.16799999999999998, 0.018, 0.21, 0.0, 0.146, 0.03, 0.0, -0.03, 0.1765, 0.0675, 0.10099999999999998, 0.0, 0.0, 0.0, 0.0675, -0.03, 1.0, 1.014, 1.0, 0.76, -0.194, 0.0], "iou0": 0.8087160602600363, "iou": 0.8606022350644175, "res": [[683.0, 850.0, 84.0, 83.0], [641.0, 730.0, 60.0, 29.0], [566.0, 644.0, 44.0, 34.0], [611.0, 716.0, 38.0, 67.0], [714.0, 803.0, 33.0, 56.0]], "pen0": 0.2289443902917063, "pen": 0.015512060193974997}, "24,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, -0.09, 0.03, 0.12, 0.16499999999999998, 0.0, -0.12, 0.0, 0.0, 0.0, -0.18, -0.12, 0.0, 0.18, 0.12, 0.18, -0.06, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, -0.06, -0.12, -0.24, 0.0, -0.06, -0.03, -0.18, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.22499999999999998, -0.135, 0.0, 0.0, -0.12, -0.008, 0.0, -0.352, 0.038, 0.03, 0.15699999999999997, 0.0, -0.006, -0.021, 0.0, 0.09, 0.0, -0.0185, 0.0075, 0.0, 0.0, 0.0675, 0.06, 0.075, 0.0, 0.22499999999999998, 0.20249999999999999, 0.20650000000000002, 0.015, 0.075, 0.06, 0.040999999999999995, -0.08249999999999999, 0.06199999999999997, 0.043999999999999984, 0.0, 0.1005, 0.006999999999999999, 0.0, -0.06, -0.08249999999999999, 0.52, 0.52, 1.0, 1.0, 0.03, 0.0], "iou0": 0.7910682068522596, "iou": 0.8517885931039629, "res": [[641.0, 786.0, 70.0, 75.0], [608.0, 716.0, 56.0, 52.0], [558.0, 636.0, 43.0, 35.0], [604.0, 724.0, 52.0, 68.0], [707.0, 801.0, 31.0, 63.0]], "pen0": 0.3709997486697376, "pen": 0.01435476997878403}, "24,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.18, 0.037, 0.015, -0.18, 0.015, 0.0, -0.12, 0.0, -0.12, 0.105, -0.105, 0.0, 0.0, 0.0, 0.0, -0.067, 0.0, 0.0, -0.12, 0.0, 0.0, 0.12, 0.0, -0.12, -0.24, -0.12, 0.0, 0.12, 0.24, -0.06, 0.0, -0.015, 0.0, 0.12, 0.22499999999999998, 0.0, -0.255, -0.105, 0.0, 0.0, -0.12, 0.0, 0.0, -0.21699999999999997, 0.0, -0.12, 0.12, 0.0, 0.006, 0.0, -0.006, 0.08249999999999999, 0.06, 0.0, -0.0485, 0.0, 0.0, 0.16849999999999998, 0.0, 0.0, 0.0, 0.0, 0.0485, -0.0075, 0.0, -0.006999999999999999, 0.040999999999999995, 0.0525, 0.011, 0.135, -0.15, -0.026, 0.0, 0.045, 0.0, -0.03, -0.0225, 1.0, 0.88, 1.0, 1.064, 0.0, 0.06], "iou0": 0.8007602047517789, "iou": 0.8632003352036076, "res": [[668.0, 795.0, 65.0, 62.0], [626.0, 706.0, 48.0, 32.0], [553.0, 623.0, 44.0, 26.0], [593.0, 713.0, 43.0, 77.0], [701.0, 806.0, 44.0, 61.0]], "pen0": 0.0025509457767754345, "pen": 0.0}, "26,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, -0.008, -0.03, 0.10399999999999998, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008, 0.03, 0.015, 0.20799999999999996, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.24, 0.09, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.06, -0.11199999999999999, 0.0, 0.0, -0.12, -0.03, 0.09, -0.03, 0.12, 0.12, 0.08199999999999999, 0.12, 0.006, -0.012, 0.006, 0.16499999999999998, 0.0, 0.0, 0.06699999999999999, 0.06099999999999996, 0.0, -0.015, -0.040999999999999995, 0.0, 0.0, 0.0, 0.0, -0.0335, 0.0675, 0.0, 0.18, 0.0, -0.07799999999999999, 0.09, 0.06, 0.06, 0.0, 0.03, 0.0, 0.0, 0.0, 0.6120000000000001, 1.0, 1.0, 1.0, -0.584, 0.134], "iou0": 0.7672236347802117, "iou": 0.8302346596333194, "res": [[600.0, 736.0, 78.0, 58.0], [602.0, 710.0, 62.0, 46.0], [531.0, 640.0, 57.0, 52.0], [648.0, 781.0, 76.0, 57.0], [682.0, 823.0, 65.0, 76.0]], "pen0": 0.08523541639181724, "pen": 0.0}, "24,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, -0.09, -0.21, -0.06, 0.0, -0.18, -0.12, 0.0, 0.0, 0.0, 0.12, 0.0, -0.12, -0.044, 0.0, 0.16399999999999998, -0.06, 0.0, -0.12, 0.06, 0.12, 0.0, -0.18, 0.472, 0.0, 0.367, -0.10399999999999998, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.128, 0.12, 0.0, 0.0, -0.12, 0.0, 0.0, -0.22499999999999998, 0.0, 0.015, 0.0, 0.0, 0.0, -0.03, 0.0, 0.09, 0.06, 0.09, 0.08249999999999999, 0.0, 0.0, 0.15, 0.03, 0.0075, -0.011, 0.0, 0.014499999999999999, 0.131, 0.0525, 0.075, 0.11599999999999999, 0.0225, -0.1725, 0.086, 0.18, -0.045, 0.0185, -0.015, 0.0, 0.09, -0.06, 1.0, 1.0, 1.0, 1.02, 0.20799999999999996, 0.0], "iou0": 0.8227458697550516, "iou": 0.8497490199219662, "res": [[660.0, 822.0, 75.0, 87.0], [603.0, 704.0, 52.0, 49.0], [531.0, 611.0, 48.0, 32.0], [595.0, 711.0, 56.0, 60.0], [712.0, 806.0, 27.0, 67.0]], "pen0": 0.5365519093951358, "pen": 0.058879343198335606}, "25,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.255, 0.0, -0.06, 0.03, 0.0, 0.12, 0.0, -0.12, 0.0, -0.12, 0.0, 0.0, 0.037, -0.12, 0.045, 0.0, 0.08199999999999999, -0.12, 0.0, -0.03, 0.0, 0.12, -0.09, -0.12, 0.0, 0.0, -0.12, 0.0, -0.24, 0.0, 0.0, 0.0, 0.015, -0.015, 0.0, 0.12, -0.3, 0.0, 0.03, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.08199999999999999, 0.27, 0.0, -0.018000000000000002, 0.006, 0.105, 0.026, 0.03, 0.0, 0.0, 0.0, 0.11249999999999999, 0.0, 0.0, 0.045, 0.011, 0.0935, 0.0975, 0.0, 0.10849999999999999, 0.0675, 0.045, -0.0375, 0.11599999999999999, 0.13849999999999996, -0.0075, 0.06, -0.09, 0.0, 0.03, -0.06, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0], "iou0": 0.8130601201376993, "iou": 0.8527888743274209, "res": [[563.0, 708.0, 57.0, 88.0], [584.0, 669.0, 41.0, 44.0], [542.0, 625.0, 44.0, 39.0], [602.0, 722.0, 62.0, 58.0], [672.0, 751.0, 25.0, 54.0]], "pen0": 0.3198034371897171, "pen": 0.0}, "26,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.03, 0.18, 0.12, 0.0, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.11199999999999999, 0.0, 0.0, -0.10399999999999998, 0.0, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, -0.06, 0.3, 0.0, -0.12, 0.12, -0.015, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.0, 0.21, -0.12, 0.0, 0.0, 0.0, 0.12, -0.292, 0.0, 0.21, 0.0, 0.0, -0.006, -0.012, 0.0, 0.12, 0.12, 0.07399999999999998, 0.0, 0.0, 0.06, -0.045, -0.16099999999999998, 0.0, -0.015, 0.10099999999999998, 0.03, 0.195, 0.1725, 0.055999999999999994, 0.055999999999999994, 0.0185, -0.03699999999999999, 0.09, -0.03, -0.026, 0.0, 0.0, 0.0, -0.0485, 0.015, 0.41600000000000004, 0.46, 1.074, 0.88, 0.24, 0.0], "iou0": 0.7950203585538274, "iou": 0.8602019242101264, "res": [[564.0, 690.0, 61.0, 65.0], [616.0, 709.0, 54.0, 39.0], [587.0, 666.0, 49.0, 30.0], [674.0, 795.0, 61.0, 60.0], [720.0, 813.0, 42.0, 51.0]], "pen0": 0.16992358542408526, "pen": 0.004945847454509232}, "26,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.11199999999999999, 0.0, -0.12, 0.0, 0.0, 0.12, -0.12, 0.03, 0.0, 0.0, 0.12, 0.0, 0.11199999999999999, 0.0, 0.03, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.12, 0.0, -0.12, -0.06, 0.0, 0.06, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.12, -0.12, 0.12, -0.36, 0.12, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.012, 0.006, 0.011, 0.015, 0.1425, 0.022, 0.0, 0.004999999999999987, -0.09, -0.026, -0.015, 0.055999999999999994, 0.105, -0.026, -0.015, 0.03, 0.09, 0.0, 0.0, -0.0525, 0.06, 0.07849999999999999, 0.135, 0.0, 0.0, 0.0, 0.0, 0.004, 1.0, 1.0, 1.02, 1.14, 0.044, 0.104], "iou0": 0.7894143559143161, "iou": 0.854989359000345, "res": [[543.0, 693.0, 63.0, 87.0], [636.0, 726.0, 43.0, 47.0], [533.0, 629.0, 61.0, 35.0], [641.0, 739.0, 47.0, 51.0], [752.0, 835.0, 40.0, 43.0]], "pen0": 0.22783610260245815, "pen": 0.0003459631841542035}, "26,4": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.15599999999999997, 0.0, -0.06, -0.30699999999999994, 0.03, 0.0, 0.0, 0.0, 0.0, -0.09, 0.12, 0.0, -0.105, 0.0, 0.20199999999999999, 0.0, 0.03, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, -0.24, 0.0, 0.0, 0.0, 0.12, 0.24, 0.0, -0.12, -0.12, 0.0, 0.12, -0.12, 0.12, 0.0, -0.11199999999999999, 0.0, 0.0, 0.21, 0.0, 0.0, -0.012, 0.0, 0.105, 0.0, 0.09, 0.0, 0.0, 0.055499999999999994, 0.0525, 0.1275, 0.03, 0.0525, 0.10849999999999999, 0.03, 0.105, 0.06, 0.0525, 0.055999999999999994, -0.07849999999999999, -0.03, 0.0375, -0.13849999999999998, 0.16499999999999998, 0.146, 0.0, 0.0, 0.0075, -0.09, 0.34, 0.28, 1.0199999999999998, 1.02, 0.0, 0.0], "iou0": 0.8145537790439599, "iou": 0.8631843505457443, "res": [[558.0, 673.0, 41.0, 74.0], [602.0, 687.0, 33.0, 52.0], [522.0, 603.0, 49.0, 32.0], [634.0, 725.0, 42.0, 49.0], [705.0, 810.0, 29.0, 76.0]], "pen0": 0.2428291042771712, "pen": 0.010715156220413163}, "26,3": {"x": [0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.0, 0.0, 0.135, -0.15, 0.0, -0.195, -0.18, 0.0, 0.12, 0.0, 0.3, -0.12, 0.0, -0.12, -0.12, -0.48, 0.0, 0.0, 0.0, -0.045, 0.12, -0.15, 0.015, 0.0, 0.247, 0.0, -0.18, 0.0, -0.09, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.06, 0.0, -0.052, 0.0, 0.18, 0.0, -0.018000000000000002, 0.003, 0.03, 0.06, 0.24, 0.0, 0.0, 0.03, 0.0, 0.0225, 0.0, 0.0, 0.0, 0.0, 0.206, 0.06, 0.03, 0.21, -0.03, -0.1725, 0.24, 0.0225, 0.045, 0.0, 0.05199999999999999, 0.0, -0.015, -0.06, 1.0, 1.0, 0.64, 1.0, 0.03, 0.0], "iou0": 0.7792537348339563, "iou": 0.8552023785666026, "res": [[502.0, 636.0, 70.0, 64.0], [587.0, 676.0, 63.0, 26.0], [544.0, 637.0, 79.0, 14.0], [580.0, 650.0, 43.0, 27.0], [702.0, 805.0, 34.0, 69.0]], "pen0": 0.24159715429750753, "pen": 0.0}, "27,0": {"x": [0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, 0.262, 0.03, 0.008, -0.015, 0.0, 0.0, 0.128, 0.0, 0.03, -0.06, -0.03, 0.0, -0.07199999999999995, 0.1929999999999999, 0.0, 0.06, 0.0, -0.09, -0.11199999999999999, 0.0, -0.068, 0.075, 0.0, 0.03, 0.14799999999999996, 0.0, 0.0, 0.0, 0.0, 0.12, 0.075, 0.0, -0.24, -0.12, -0.03, 0.0, -0.105, 0.0, 0.015, -0.345, 0.0, 0.0, 0.0, 0.0, 0.0, -0.018000000000000002, 0.006, 0.07849999999999999, 0.0, 0.0, -0.028999999999999974, 0.0, 0.040999999999999995, -0.0075, 0.08249999999999999, 0.0, -0.055999999999999994, 0.0, -0.005999999999999998, -0.045, 0.019, 0.0225, 0.105, -0.0975, -0.12, 0.071, 0.041499999999999995, 0.0, 0.0, 0.0, 0.0, 0.03, -0.086, 0.5680000000000001, 1.0, 1.0, 1.0, -0.12, 0.0], "iou0": 0.8107844255545237, "iou": 0.8670118129567808, "res": [[615.0, 767.0, 74.0, 78.0], [623.0, 710.0, 52.0, 35.0], [575.0, 657.0, 32.0, 50.0], [649.0, 724.0, 39.0, 36.0], [687.0, 777.0, 43.0, 47.0]], "pen0": 0.21331005052167135, "pen": 0.0}, "27,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.18, 0.32999999999999996, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.3, 0.0, 0.06, 0.0, 0.06, 0.12, 0.0, -0.12, -0.12, 0.0, 0.0, 0.0, 0.12, 0.0, -0.23199999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.11199999999999999, 0.12, 0.0, 0.0, -0.12, 0.0, -0.12, -0.24, 0.0, 0.052, 0.15, 0.11199999999999999, -0.006, -0.024, 0.0, 0.12, 0.06, 0.07849999999999999, 0.09, 0.03, 0.06, 0.0, -0.055999999999999994, 0.16499999999999998, 0.0075, 0.0, 0.0, 0.15, -0.0075, 0.146, 0.0, 0.0, -0.135, 0.086, 0.0, 0.045, 0.0, 0.026, -0.011, 0.0, 0.09, 0.976, 1.0, 1.0, 1.0, 0.8, 0.0], "iou0": 0.8254255018266651, "iou": 0.8660998347756292, "res": [[614.0, 725.0, 40.0, 71.0], [614.0, 707.0, 53.0, 40.0], [628.0, 721.0, 42.0, 51.0], [655.0, 763.0, 61.0, 47.0], [705.0, 796.0, 51.0, 40.0]], "pen0": 0.3291415276816912, "pen": 0.0036119732889098102}, "27,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, -0.03, 0.12, 0.0, 0.03, 0.0, 0.0, -0.06, 0.0, 0.24, 0.0, 0.06, 0.06, -0.06, -0.105, 0.06, 0.12, -0.052, 0.0, 0.0, 0.06, -0.18, 0.12, -0.06, 0.0, 0.0, 0.0, -0.06, -0.06, -0.052, 0.12, 0.0, 0.0, 0.0, 0.12, 0.24, 0.0, 0.0, 0.0, 0.18, 0.0, 0.015, 0.0, 0.015, -0.075, 0.0, 0.07299999999999993, 0.1399999999999998, 0.045, -0.018000000000000002, -0.012, -0.006, 0.0975, 0.03, 0.0, 0.18, 0.0, 0.06, 0.0375, 0.0, 0.0525, 0.0, 0.0, 0.0, 0.0905, 0.034, 0.16849999999999998, 0.0635, 0.09, -0.10599999999999996, 0.0225, 0.0, 0.0, 0.09949999999999995, -0.048499999999999946, 0.0, 0.0, 0.045, 1.014, 1.0, 1.1079999999999999, 1.02, -0.12, 0.0], "iou0": 0.8270488908065834, "iou": 0.8720275475824367, "res": [[587.0, 692.0, 34.0, 71.0], [608.0, 688.0, 48.0, 32.0], [607.0, 699.0, 61.0, 31.0], [645.0, 751.0, 62.0, 44.0], [691.0, 767.0, 26.0, 50.0]], "pen0": 0.2616639025019314, "pen": 0.017338033211374344}, "27,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.105, 0.12, 0.0, 0.0, 0.0, 0.068, 0.0, -0.12, 0.0, 0.0, 0.15, -0.06, -0.075, 0.08299999999999999, 0.0, 0.0, 0.06, 0.0, -0.12, 0.0, -0.12, 0.0, -0.12, 0.0, -0.36, 0.12, 0.24, 0.0, 0.0, 0.0, 0.068, 0.15, 0.0, 0.0, 0.03, 0.0, 0.0, -0.11199999999999999, 0.0, 0.008, -0.36, 0.0, 0.0, 0.21599999999999997, 0.008, -0.006, -0.021, 0.012, -0.0185, -0.15, -0.040499999999999994, -0.015, 0.0225, 0.24, -0.06, -0.0525, 0.015, -0.075, 0.071, 0.0, 0.11249999999999999, 0.015, 0.176, 0.0635, 0.05199999999999999, 0.0, 0.0485, 0.0, -0.028999999999999988, 0.0, 0.10849999999999999, 0.006999999999999999, -0.006999999999999999, 0.08499999999999998, 0.22000000000000003, 1.0, 1.0479999999999998, 1.02, 0.54, 0.0], "iou0": 0.8110593537974824, "iou": 0.8624431805457398, "res": [[605.0, 735.0, 52.0, 78.0], [556.0, 644.0, 64.0, 24.0], [633.0, 725.0, 38.0, 54.0], [686.0, 793.0, 58.0, 49.0], [742.0, 836.0, 49.0, 45.0]], "pen0": 0.19927783017985734, "pen": 0.0013666528520987903}, "28,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.48, 0.0, 0.12, 0.15, -0.06, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.12, 0.12, -0.052, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, -0.12, -0.24, 0.18, 0.0, 0.18, 0.0, -0.03, 0.0, 0.015, 0.0, 0.12, 0.03, 0.0, -0.09, -0.105, 0.0, 0.0, -0.12, 0.0, 0.0, -0.23199999999999998, 0.0, -0.03, -0.03, 0.18, -0.012, -0.012, 0.0, 0.075, -0.0525, 0.0, 0.0525, 0.0, 0.0, -0.075, 0.0, 0.0, 0.105, -0.0075, 0.0, 0.195, -0.0525, 0.0, 0.1875, 0.0, 0.0, 0.0485, 0.0, -0.09, 0.12, 0.0, -0.015, 0.0, -0.06, 1.064, 0.79, 1.0, 1.2, 0.03, 0.0], "iou0": 0.7984242525662382, "iou": 0.8531150433679159, "res": [[656.0, 802.0, 47.0, 99.0], [538.0, 633.0, 52.0, 43.0], [595.0, 680.0, 63.0, 22.0], [669.0, 787.0, 66.0, 52.0], [692.0, 793.0, 37.0, 64.0]], "pen0": 0.24325927458033858, "pen": 0.025922042324207584}, "27,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.015, -0.015, -0.03, 0.0, -0.037, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.255, 0.0, 0.22499999999999998, -0.24, 0.0, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, -0.12, 0.15, 0.0, 0.03, -0.03, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, 0.12, 0.03, 0.06, -0.12, 0.0, -0.06, -0.36, 0.0, 0.0, 0.0, 0.0, 0.0, -0.019500000000000003, -0.006, 0.20249999999999999, -0.055999999999999994, 0.03, -0.004, 0.131, 0.03, 0.0, 0.0525, -0.011, -0.045, 0.03, 0.0, 0.055999999999999994, 0.06, 0.026, 0.06, 0.015, -0.176, 0.146, 0.08249999999999999, 0.03, 0.18, 0.0, 0.0, 0.0375, -0.0075, 1.0000000000000002, 0.52, 1.06, 1.0, 0.0, 0.0], "iou0": 0.8057454130573873, "iou": 0.8593478921513498, "res": [[606.0, 745.0, 62.0, 77.0], [581.0, 667.0, 46.0, 40.0], [583.0, 686.0, 55.0, 48.0], [632.0, 731.0, 59.0, 40.0], [703.0, 783.0, 35.0, 45.0]], "pen0": 0.20355726471352903, "pen": 0.00047295181969500555}, "28,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.105, 0.0, 0.12, -0.48, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.06, 0.06, -0.12, 0.0, -0.12, 0.0, 0.0, -0.24, 0.0, 0.09, 0.16499999999999998, 0.0, 0.012, -0.012, 0.0, 0.176, 0.0, -0.0375, 0.0, -0.071, 0.0, 0.06, 0.0, 0.0, 0.06, 0.045, 0.105, 0.0975, 0.056499999999999995, -0.055999999999999994, 0.131, -0.071, -0.0525, 0.08249999999999999, 0.0, 0.045, 0.12, -0.11599999999999999, 0.0, 0.03, -0.026, 0.536, 1.1099999999999999, 1.0, 1.0, 0.12, 0.0], "iou0": 0.8080916013694974, "iou": 0.8599322429404073, "res": [[641.0, 746.0, 45.0, 60.0], [572.0, 655.0, 47.0, 36.0], [606.0, 702.0, 46.0, 50.0], [648.0, 760.0, 57.0, 55.0], [681.0, 800.0, 62.0, 57.0]], "pen0": 0.271639528463552, "pen": 0.02417115949896908}, "28,2": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, -0.06, 0.037, 0.0, 0.0, 0.0, 0.0, 0.0, -0.24, 0.023, -0.015, -0.12, 0.0, -0.097, 0.0, 0.052, 0.12, 0.12, -0.6, 0.0, 0.12, 0.3, 0.0, -0.36, 0.0, 0.0, -0.03, -0.06, 0.0, 0.0, 0.0, 0.12, 0.135, 0.0, 0.105, 0.08199999999999999, 0.0, 0.015, 0.0, 0.0, 0.12, -0.09, 0.0, 0.09, -0.015, 0.0, 0.0, -0.024, -0.006, 0.0075, -0.0225, 0.0, 0.075, -0.013999999999999999, 0.0, 0.015, 0.0, 0.0, 0.03, 0.11599999999999999, 0.12, 0.0, 0.094, 0.0675, 0.0525, -0.0075, 0.0, 0.11249999999999999, 0.03, 0.0, 0.0675, 0.0, 0.0, 0.12, 0.0975, 0.52, 0.94, 1.0, 1.0, 0.0, 0.22399999999999998], "iou0": 0.7964030042078203, "iou": 0.8632163948599194, "res": [[589.0, 689.0, 36.0, 64.0], [577.0, 678.0, 58.0, 43.0], [656.0, 758.0, 58.0, 44.0], [629.0, 720.0, 47.0, 44.0], [649.0, 745.0, 39.0, 57.0]], "pen0": 0.38037459774053184, "pen": 0.0005829881947745641}, "28,3": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.03, 0.0, 0.09, -0.06, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.06, 0.0, 0.0, -0.09, 0.12, 0.12, 0.12, -0.495, 0.0, 0.12, 0.105, 0.0, -0.105, 0.0, 0.09, 0.0, -0.06, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, 0.12, 0.0, 0.0, -0.135, 0.0, 0.105, -0.14999999999999997, 0.12, 0.0, -0.015, -0.06, 0.0, -0.012, 0.0, 0.15, 0.0, 0.03, 0.06, 0.0, 0.12, 0.09749999999999998, 0.11599999999999999, 0.0, 0.060000000000000005, 0.10499999999999998, 0.12, 0.0485, 0.0, 0.10099999999999999, 0.105, -0.045, 0.0, 0.011, 0.0, 0.09, 0.146, 0.0, -0.03749999999999998, -0.026, -0.06, 0.5660000000000001, 0.41600000000000004, 1.044, 1.0, 0.18, 0.21], "iou0": 0.7838998084493809, "iou": 0.8581242392684981, "res": [[555.0, 652.0, 50.0, 47.0], [571.0, 678.0, 60.0, 47.0], [651.0, 756.0, 58.0, 47.0], [636.0, 735.0, 46.0, 53.0], [647.0, 743.0, 52.0, 44.0]], "pen0": 0.10739333578128957, "pen": 0.0}, "28,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.06, 0.15, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24, 0.12, -0.24, 0.0, 0.0, 0.24, 0.12, -0.12, 0.0, 0.24, -0.24, 0.12, 0.0, 0.0, 0.12, 0.06, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.12, -0.12, 0.0, 0.03, -0.12, 0.0, 0.0, -0.12, 0.0, 0.0, 0.22499999999999998, 0.24, 0.0, -0.018000000000000002, -0.006, 0.10849999999999999, 0.075, 0.0, 0.0975, -0.055999999999999994, -0.026, -0.03, 0.0, 0.0, 0.21, 0.045, 0.0, -0.0075, -0.0225, 0.0185, 0.071, 0.0, -0.12, 0.105, 0.045, 0.0335, 0.0, 0.0, 0.0, 0.135, -0.055999999999999994, 1.1079999999999999, 0.22000000000000003, 1.0, 1.0, 0.24, 0.0], "iou0": 0.7953184562418281, "iou": 0.8476756024821368, "res": [[559.0, 673.0, 43.0, 71.0], [543.0, 646.0, 60.0, 43.0], [611.0, 721.0, 55.0, 55.0], [629.0, 733.0, 53.0, 51.0], [654.0, 759.0, 37.0, 68.0]], "pen0": 0.21492923560457378, "pen": 0.0002220247526803637}, "28,4": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.15, 0.285, 0.0, 0.0, 0.06, -0.12, -0.12, -0.24, 0.0, -0.12, 0.0, -0.12, -0.12, 0.24, 0.0, 0.36, -0.12, 0.0, 0.24, 0.12, -0.48, 0.24, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, -0.028999999999999998, -0.097, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, 0.0, -0.03, 0.0, 0.18, 0.0, -0.012, 0.0, -0.0075, -0.06, 0.0225, 0.0525, 0.11599999999999999, 0.12, 0.09, 0.03, 0.0, 0.0, 0.0, 0.0, 0.24, 0.0, 0.0335, 0.15749999999999997, 0.06, -0.10849999999999999, 0.10099999999999999, 0.0, 0.06, 0.0, 0.0, 0.0, 0.06, 0.0, 0.28, 0.8360000000000001, 0.88, 1.0, 0.494, 0.0], "iou0": 0.7853783449619274, "iou": 0.8583003541651071, "res": [[523.0, 613.0, 49.0, 41.0], [571.0, 676.0, 67.0, 38.0], [653.0, 756.0, 58.0, 45.0], [652.0, 749.0, 47.0, 50.0], [654.0, 761.0, 55.0, 52.0]], "pen0": 0.16074260518303257, "pen": 0.00041764601318722977}, "28,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.12, 0.12, 0.0, -0.19399999999999998, -0.03, 0.12, 0.12, -0.135, -0.12, 0.12, -0.31499999999999995, 0.0, -0.135, 0.0, -0.105, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.23199999999999998, 0.0, 0.0, 0.0, 0.12, -0.006, -0.018000000000000002, 0.0015, 0.0975, 0.11599999999999999, 0.0, 0.0, 0.029500000000000002, 0.0, 0.0, 0.18, -0.0375, -0.075, 0.0225, -0.0075, 0.14250000000000002, -0.0525, 0.14249999999999996, 0.11249999999999999, -0.0375, 0.011, 0.1725, 0.0, 0.0, 0.0, 0.025500000000000002, 0.0, 0.12, 0.0, 0.41600000000000004, 0.28, 1.168, 1.0, 0.0, 0.0], "iou0": 0.778852178608316, "iou": 0.8267792212209881, "res": [[601.0, 798.0, 87.0, 110.0], [536.0, 624.0, 52.0, 36.0], [601.0, 705.0, 59.0, 45.0], [658.0, 799.0, 68.0, 73.0], [691.0, 817.0, 53.0, 73.0]], "pen0": 0.2448833272693765, "pen": 0.005986771232095574}, "29,1": {"x": [0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.06, 0.0, 0.0, 0.172, -0.008, -0.24, 0.12, -0.24, -0.24, 0.0, 0.12, 0.24, -0.72, 0.0, -0.11199999999999999, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.12, 0.0, -0.12, 0.6, 0.0, 0.12, -0.12, 0.0, 0.008, 0.0, 0.008, 0.12, -0.12, 0.0, -0.10399999999999998, -0.10399999999999998, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.06, 0.0, -0.012, -0.012, 0.0, 0.045, -0.14999999999999997, 0.075, 0.0, 0.0, 0.03, 0.2625, 0.35, 0.0, 0.0525, 0.0375, 0.13849999999999998, 0.187, 0.06, 0.040999999999999995, 0.06, -0.004, 0.0, -0.015, 0.0, 0.0485, 0.18, 0.0, 0.0, -0.018, -0.03, 1.0, 0.64, 1.0, 1.0, 0.0, 0.06], "iou0": 0.7220004038941203, "iou": 0.8040144141071041, "res": [[576.0, 740.0, 107.0, 57.0], [600.0, 713.0, 86.0, 27.0], [547.0, 690.0, 69.0, 74.0], [579.0, 722.0, 75.0, 68.0], [646.0, 802.0, 83.0, 73.0]], "pen0": 0.12363795047646586, "pen": 0.0}, "29,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.045, -0.03, 0.0, 0.12699999999999995, 0.0, 0.0, -0.12, 0.0, 0.12, 0.0, 0.0, 0.12, -0.03, 0.0, 0.0, 0.06, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.24, -0.12, 0.0, 0.12, 0.105, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.12, 0.0, 0.0, 0.06, 0.0, 0.0, 0.06, -0.06, 0.0, 0.12, 0.037, 0.12, 0.0, -0.012, 0.0, 0.045, 0.06, 0.03, 0.075, 0.0, 0.0, 0.33849999999999997, 0.28500000000000003, -0.0675, 0.045, 0.09349999999999997, 0.12, 0.06, -0.045, 0.195, 0.075, 0.045, -0.03, 0.09, 0.075, 0.10849999999999999, 0.0485, 0.0, 0.0, 0.0, -0.10099999999999999, 1.08, 1.0, 1.2, 1.0, -0.013999999999999999, 0.0], "iou0": 0.783363214400645, "iou": 0.8464542753466937, "res": [[547.0, 686.0, 80.0, 59.0], [576.0, 662.0, 54.0, 32.0], [568.0, 640.0, 44.0, 28.0], [619.0, 736.0, 65.0, 52.0], [664.0, 794.0, 72.0, 58.0]], "pen0": 0.15604509316998877, "pen": 0.006502041862183595}, "29,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.08199999999999999, 0.12, 0.0, 0.20199999999999999, -0.12, 0.0, -0.15, 0.0, 0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.105, -0.21699999999999997, 0.03, 0.0, 0.12, 0.0, 0.0, 0.12, 0.0, -0.24, 0.255, 0.0, 0.36, 0.32999999999999996, 0.11199999999999999, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.18, -0.12, 0.0, 0.0, -0.12, 0.0, 0.0, -0.24, 0.0, -0.06, 0.12, 0.0, -0.006, -0.012, -0.006, -0.0225, 0.045, -0.0375, -0.0075, 0.0, 0.12, 0.21, 0.0375, 0.0, 0.0, 0.105, 0.06, -0.0225, 0.06, 0.071, 0.135, 0.045, -0.015, 0.1725, 0.086, -0.0485, 0.0, -0.06, 0.0, 0.015, -0.045, 1.0, 0.52, 1.0, 1.0, -0.40399999999999997, 0.0], "iou0": 0.7631714619759868, "iou": 0.8141298229636412, "res": [[551.0, 765.0, 125.0, 89.0], [593.0, 718.0, 47.0, 78.0], [588.0, 679.0, 46.0, 45.0], [596.0, 719.0, 80.0, 43.0], [662.0, 798.0, 65.0, 71.0]], "pen0": 0.12623025645223174, "pen": 0.0016845012397180004}, "29,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.24, 0.0, 0.06, -0.18, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, -0.36, 0.0, 0.0, 0.105, -0.24, 0.0, -0.12, 0.0, 0.12, 0.12, 0.0, -0.12, 0.23199999999999998, 0.0, -0.172, 0.24, -0.10399999999999998, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, -0.097, 0.0, 0.0, -0.12, 0.0, 0.0, -0.24, 0.0, 0.067, 0.15699999999999997, 0.0, 0.0, -0.018000000000000002, -0.006, 0.0, -0.176, 0.0, 0.086, 0.06, -0.06749999999999998, 0.0225, 0.06, 0.0485, 0.0, 0.0, 0.0, 0.075, 0.0, 0.09, 0.176, 0.0, -0.255, 0.08249999999999999, 0.0225, 0.0, 0.0075, 0.0, 0.0, 0.06, 0.12, 1.0, 1.048, 1.0, 1.0, -0.16399999999999998, 0.0], "iou0": 0.7948588795390321, "iou": 0.8288757768246532, "res": [[475.0, 619.0, 79.0, 65.0], [607.0, 747.0, 86.0, 54.0], [548.0, 655.0, 69.0, 38.0], [550.0, 629.0, 45.0, 34.0], [681.0, 798.0, 48.0, 69.0]], "pen0": 0.3332986932947537, "pen": 0.002140234817532574}, "29,4": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.015, -0.12, -0.075, 0.09, 0.105, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.195, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.16399999999999998, 0.0, 0.052, 0.0, 0.0, 0.0, 0.09, 0.15, 0.0, 0.03, 0.0, 0.045, 0.015, -0.12, 0.0, 0.0, -0.24, 0.0, 0.12, 0.0, 0.0, 0.0, -0.012, 0.0, -0.191, 0.055999999999999994, 0.040999999999999995, 0.12, 0.0, 0.0, 0.0, -0.0375, 0.0, 0.0, 0.0, 0.0, 0.0375, 0.0675, 0.0335, 0.20999999999999996, -0.0375, -0.045, 0.135, 0.0075, 0.0, 0.0, 0.0, 0.0, 0.0675, -0.0225, 1.0, 1.02, 1.0, 1.0, 0.0, 0.0], "iou0": 0.8160313760997593, "iou": 0.8571632666447331, "res": [[537.0, 682.0, 67.0, 78.0], [643.0, 745.0, 63.0, 39.0], [538.0, 622.0, 59.0, 25.0], [583.0, 651.0, 32.0, 36.0], [692.0, 791.0, 27.0, 72.0]], "pen0": 0.12709598657504517, "pen": 0.002344440657900758}} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/poses13_r5.json b/third_party/UO_Model3D_v13/pipeline/body13/poses13_r5.json new file mode 100644 index 0000000..7b1db24 --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/poses13_r5.json @@ -0,0 +1 @@ +{"0,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, -0.12, -0.11199999999999999, -0.03, -0.195, -0.015, 0.12, 0.0, 0.12, 0.0, 0.12, 0.052, 0.0, 0.022, 0.015, -0.135, 0.0, 0.0, 0.0, 0.0, -0.24, 0.0, 0.09, 0.34, -0.12, 0.30000000000000004, -0.020000000000000004, -0.07500000000000001, 0.0, 0.0, 0.0, 0.06, -0.06, 0.0, -0.127, -0.23199999999999998, 0.0, -0.03, 0.09, 0.0, 0.15, 0.0, 0.0, 0.045, -0.113, 0.053, 0.0, -0.006, 0.0, -0.0525, -0.172, 0.10499999999999998, -0.03, -0.06, 0.0, 0.086, 0.0, 0.055999999999999994, 0.03, 0.11249999999999999, -0.006999999999999999, 0.191, -0.07050000000000001, -0.0335, 0.0075, 0.1385, 0.0375, 0.015, -0.0525, 0.015, 0.14250000000000002, 0.075, 0.04799999999999999, 0.03, -0.14599999999999996, 1.0, 0.67, 1.0, 1.0, 0.12, 0.19399999999999998], "iou0": 0.9006884175786742, "iou": 0.9004331134889891, "res": [[816.0, 890.0, 32.0, 42.0], [819.0, 911.0, 48.0, 44.0], [706.0, 809.0, 51.0, 52.0], [686.0, 749.0, 33.0, 30.0], [778.0, 859.0, 42.0, 39.0]], "hand_fit": {"chamfer0": 0.9368491671021996, "chamfer": 0.8997906399633365, "iou0": 0.9011458617867169}}, "0,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.135, 0.0, -0.015, -0.022, -0.11099999999999996, 0.006999999999999999, -0.18, 0.0, 0.0, 0.0, -0.21000000000000002, 0.0, 0.052, 0.0, -0.06, -0.059000000000000004, 0.0, -0.29799999999999993, -0.06, 0.0, 0.0, 0.0, 0.12, 0.0, 0.025, 0.045, 0.0, 0.45000000000000007, 0.165, 0.45, 0.0, -0.09, 0.0, 0.06, 0.045, 0.0, -0.135, -0.03, 0.0, 0.03, 0.03, 0.0, 0.03, -0.015000000000000013, 0.0, -0.15, 0.09, 0.0, 0.0, 0.0, 0.006, 0.18, -0.086, 0.19799999999999998, 0.10849999999999999, 0.0, 0.0, 0.10799999999999998, 0.10099999999999999, 0.033, 0.0, -0.08199999999999999, 0.0, 0.22499999999999998, 0.045, -0.0075, 0.135, 0.0, -0.0375, 0.0525, -0.015, 0.010499999999999999, -0.026, 0.0375, 0.0, 0.0, -0.176, 1.0, 1.0, 1.0, 1.0, 0.254, -0.06], "iou0": 0.9044948697975539, "iou": 0.9048277081109648, "res": [[849.0, 932.0, 48.0, 35.0], [796.0, 861.0, 41.0, 24.0], [609.0, 688.0, 50.0, 29.0], [658.0, 732.0, 25.0, 49.0], [770.0, 847.0, 38.0, 39.0]], "hand_fit": {"chamfer0": 0.8919705232553043, "chamfer": 0.9028846653162524, "iou0": 0.9017903014092281}}, "0,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.045, 0.0, -0.15, -0.15699999999999997, 0.0, -0.24, 0.0, 0.015, 0.0, 0.0, 0.0, 0.12, -0.029999999999999985, 0.015, -0.097, 0.0, -0.135, -0.24, 0.0, -0.03, 0.03, -0.15, 0.0, 0.11199999999999999, 0.13299999999999995, -0.128, 0.04800000000000001, 0.05, -0.19200000000000003, 0.0, -0.06, 0.0, -0.008, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, -0.21, 0.0, -0.052, -0.21, 0.0, 0.0, 0.0, 0.006, 0.026, -0.055999999999999994, 0.05249999999999995, 0.0, 0.0, 0.0, 0.24, 0.040999999999999995, 0.16499999999999998, -0.0069999999999999785, 0.006999999999999999, 0.0, 0.1875, 0.08199999999999999, 0.0, 0.0, 0.06, 0.06649999999999998, 0.0, -0.10849999999999999, -0.008, 0.045, 0.1875, -0.024999999999999998, 0.045, -0.135, 1.0, 1.0, 1.0, 1.0, -0.104, 0.18], "iou0": 0.9131724488676211, "iou": 0.9115383408670172, "res": [[819.0, 911.0, 48.0, 44.0], [754.0, 806.0, 27.0, 25.0], [562.0, 617.0, 26.0, 29.0], [670.0, 737.0, 26.0, 41.0], [783.0, 858.0, 30.0, 45.0]], "hand_fit": {"chamfer0": 1.675815861225022, "chamfer": 1.6350671291377192, "iou0": 0.9113052406339172}}, "0,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.008, 0.0, -0.12, -0.022, 0.0, -0.12, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, -0.030000000000000006, 0.105, -0.16499999999999998, -0.021999999999999992, -0.23199999999999998, 0.0, 0.0, -0.12, 0.12, -0.12, 0.0, -0.18699999999999997, 0.03, -0.06, 0.425, 0.2250000000000001, 0.44999999999999996, 0.0, -0.03, 0.0, 0.06, -0.12, 0.0, 0.0, 0.0, 0.0, 0.03, 0.03, 0.0, 0.03, -0.03, 0.0, 0.0, -0.08999999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.044, 0.0, 0.0, 0.0185, -0.06, 0.22099999999999997, 0.033, 0.06699999999999999, 0.0005000000000000074, -0.006999999999999999, 0.0635, 0.10799999999999998, 0.0185, -0.183, 0.03, 0.03, 0.023000000000000007, -0.015, 0.0225, 0.39, 0.05600000000000001, -0.10850000000000001, 0.0075, -0.055999999999999994, 1.0, 1.0, 1.0, 1.0, 0.104, 0.0], "iou0": 0.9029584528181399, "iou": 0.9002214143270237, "res": [[813.0, 902.0, 43.0, 46.0], [735.0, 819.0, 47.0, 37.0], [642.0, 721.0, 40.0, 39.0], [692.0, 765.0, 31.0, 42.0], [793.0, 860.0, 25.0, 42.0]], "hand_fit": {"chamfer0": 1.189954838263683, "chamfer": 1.0299190954334272, "iou0": 0.9012366844324587}}, "0,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.015, -0.17799999999999996, 0.0, -0.12, -0.008, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, -0.06, 0.0, -0.061, -0.367, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.36, 0.0, -0.09999999999999999, 0.26899999999999996, -0.44899999999999995, 0.015, 0.0, 0.0, 0.015, -0.015, 0.0, -0.045, -0.187, 0.015, 0.0, 0.0, 0.0, 0.105, 0.247, 0.0, -0.09, 0.06, 0.3, 0.0, 0.0, 0.0, 0.0, -0.16499999999999998, 0.08199999999999999, 0.0, 0.06, 0.09249999999999999, 0.055999999999999994, 0.0, 0.0, 0.0075, 0.0925, 0.071, 0.0115, 0.24350000000000002, 0.05999999999999998, -0.06, 0.0225, -0.026, 0.13849999999999998, 0.2135, -0.034, 0.1875, 0.0005000000000000004, 0.142, -0.011, -0.13849999999999998, 1.0, 0.22000000000000003, 0.9280000000000002, 0.99, 0.0, 0.0], "iou0": 0.9046059147632732, "iou": 0.9046358668214015, "res": [[820.0, 881.0, 26.0, 35.0], [681.0, 749.0, 44.0, 24.0], [686.0, 740.0, 21.0, 33.0], [712.0, 821.0, 62.0, 47.0], [772.0, 859.0, 35.0, 52.0]], "hand_fit": {"chamfer0": 0.6822699750728655, "chamfer": 0.5960282720195453, "iou0": 0.9055287163470762}}, "0,7": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.060000000000000005, 0.0, -0.12, 0.08099999999999999, 0.0, -0.11199999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09, 0.06, 0.049999999999999975, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, 0.0, -0.12, -0.065, 0.015, 0.30000000000000004, 0.28500000000000003, 0.16, 0.0, 0.0, 0.0, 0.0, -0.075, 0.0, -0.015, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.09, 0.0, 0.045, -0.22499999999999998, 0.128, 0.0, 0.006, 0.006, 0.075, 0.0, 0.1275, 0.0010000000000000148, -0.08199999999999999, 0.015, 0.04500000000000001, 0.09, -0.0935, -0.04449999999999999, 0.0, 0.0075, 0.14250000000000002, 0.04549999999999999, 0.24, 0.07049999999999998, 0.011, -0.08249999999999999, 0.124, -0.0185, 0.1425, -0.07449999999999998, 0.002999999999999999, 0.0, -0.075, -0.03, 1.0, 1.0, 1.0, 1.0, -0.4039999999999999, 0.0], "iou0": 0.9035967220390664, "iou": 0.9026097459056232, "res": [[805.0, 870.0, 37.0, 28.0], [642.0, 701.0, 30.0, 29.0], [560.0, 642.0, 42.0, 40.0], [755.0, 835.0, 29.0, 51.0], [791.0, 876.0, 35.0, 50.0]], "hand_fit": {"chamfer0": 0.9184904671025631, "chamfer": 0.9184904671025631, "iou0": 0.9026097459056232}}, "0,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.068, 0.0, -0.09, -0.135, 0.0, -0.188, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.22399999999999998, 0.0, 0.0, 0.0, -0.36, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.015, 0.49, -0.025, -0.6619999999999998, -0.10500000000000001, 0.07899999999999999, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.015, -0.03, 0.0, 0.0, 0.0, 0.0, 0.06, 0.008, 0.03, 0.021999999999999992, -0.07599999999999998, -0.09, 0.0, 0.0, 0.0, -0.03, -0.052, 0.0, -0.138, -0.026, 0.09, 0.0225, 0.11249999999999999, -0.045, 0.0, 0.006999999999999999, 0.0485, -0.011, 0.04500000000000001, -0.014499999999999999, 0.014499999999999992, 0.0935, 0.05949999999999999, -0.025999999999999992, 0.040499999999999994, 0.055999999999999994, 0.03, 0.03299999999999999, 0.146, -0.015, 0.0, 1.0, 1.0, 0.8660000000000001, 0.96, 0.06, 0.16399999999999998], "iou0": 0.9001101512305789, "iou": 0.9044646860647069, "res": [[796.0, 868.0, 30.0, 42.0], [684.0, 747.0, 35.0, 28.0], [709.0, 794.0, 47.0, 38.0], [776.0, 870.0, 44.0, 50.0], [778.0, 860.0, 22.0, 60.0]], "hand_fit": {"chamfer0": 0.7329675232664421, "chamfer": 0.6456243233935053, "iou0": 0.9025642679454007}}, "0,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.052, 0.0, 0.0, 0.15599999999999997, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.18, 0.015, 0.14999999999999997, -0.03, -0.27699999999999997, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.010000000000000002, 0.0, -0.4100000000000001, 0.24700000000000005, 0.135, 0.0, 0.0, 0.0, 0.06, -0.06, 0.0, 0.060000000000000005, -0.08199999999999999, 0.0, 0.0, 0.045, 0.0, 0.09, -0.12, 0.0, -0.18, -0.014999999999999986, -0.15, 0.0, 0.0, 0.0, 0.07500000000000001, -0.12299999999999991, 0.086, -0.06, 0.0, 0.105, 0.0975, 0.0, 0.0, -0.15699999999999997, 0.11250000000000002, 0.09, 0.0, -0.1425, -0.03, 0.045, 0.12, 0.12, -0.04049999999999997, -0.06799999999999998, -0.004, 0.0225, 0.0935, 0.03, 0.0, -0.13799999999999998, 1.0, 0.040000000000000036, 1.0, 1.0, 0.0, 0.076], "iou0": 0.9033806071250001, "iou": 0.9038811558640012, "res": [[812.0, 878.0, 34.0, 32.0], [672.0, 736.0, 31.0, 33.0], [736.0, 828.0, 32.0, 60.0], [775.0, 879.0, 48.0, 56.0], [775.0, 852.0, 28.0, 49.0]], "hand_fit": {"chamfer0": 0.64572024215717, "chamfer": 0.5778191758687001, "iou0": 0.901634276775216}}, "1,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.045, 0.0, 0.06, 0.015, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.067, 0.12, 0.11199999999999999, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.07500000000000001, 0.21699999999999997, -0.07500000000000001, -0.7800000000000002, 0.09999999999999998, 0.15000000000000002, 0.0, 0.05199999999999999, 0.0, 0.06, 0.075, 0.0, -0.09, -0.142, 0.11199999999999999, -0.03, 0.09, 0.0, 0.195, 0.0, 0.0, 0.0, 0.06, 0.045, 0.0, 0.0, 0.0, 0.026, -0.0975, 0.0, -0.045, 0.0, 0.0, 0.08249999999999999, -0.07849999999999999, 0.011, 0.0, 0.0525, 0.0, 0.135, 0.0335, -0.0675, -0.127, 0.09, 0.21, 0.040999999999999995, -0.011, 0.048, 0.1575, 0.07499999999999998, 0.06699999999999999, -0.015, -0.16499999999999998, 0.49, 1.2, 1.0, 1.0, -0.104, 0.688], "iou0": 0.9003031095200058, "iou": 0.9015274890953859, "res": [[811.0, 866.0, 26.0, 29.0], [789.0, 872.0, 47.0, 36.0], [730.0, 821.0, 47.0, 44.0], [707.0, 802.0, 52.0, 43.0], [748.0, 827.0, 36.0, 43.0]], "hand_fit": {"chamfer0": 0.9552447536535544, "chamfer": 0.9429604200724567, "iou0": 0.9017343037564223}}, "0,9": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.045, 0.0, 0.015, -0.075, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.088, 0.03, 0.29899999999999993, -0.097, -0.03, -0.12, 0.0, 0.0, 0.0, 0.24, 0.0, 0.032, 0.305, 0.03, -0.07999999999999999, -0.07500000000000001, 0.6250000000000001, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.03, -0.015, 0.03, 0.0, 0.12, 0.0, 0.06, 0.0, 0.0, 0.105, -0.15, 0.06, 0.0, -0.009000000000000001, 0.0, -0.007000000000000006, -0.0675, 0.0335, 0.0, 0.0, -0.0004999999999999935, 0.071, 0.053000000000000005, -0.1275, 0.013999999999999985, 0.015, 0.03, 0.20249999999999999, 0.0, 0.033, -0.075, 0.0, -0.03, 0.15, 0.07849999999999999, 0.06599999999999998, 0.011, 0.0, 0.048, -0.045, -0.07500000000000001, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0], "iou0": 0.9051841447842582, "iou": 0.9046490377708519, "res": [[786.0, 865.0, 33.0, 46.0], [785.0, 874.0, 35.0, 54.0], [698.0, 780.0, 41.0, 41.0], [683.0, 751.0, 38.0, 30.0], [765.0, 833.0, 22.0, 46.0]], "hand_fit": {"chamfer0": 0.7353604950147694, "chamfer": 0.7283401317185326, "iou0": 0.9046490377708519}}, "0,8": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.06, 0.0, -0.015, 0.015, 0.0, -0.11199999999999999, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, -0.03699999999999999, -0.015, 0.0, -0.015, 0.0, 0.135, 0.0, -0.04, -0.14, -0.05, 0.37800000000000006, 0.18300000000000005, 0.49000000000000005, 0.0, 0.0, 0.0, 0.06, 0.105, 0.0, -0.083, -0.075, -0.008, 0.0, 0.12, 0.0, 0.03, -0.006999999999999999, 0.0, 0.068, 0.0, 0.075, 0.0, 0.0, 0.0, 0.12349999999999998, 0.06, 0.015, 0.021999999999999995, 0.0, -0.039499999999999966, 0.0485, 0.13849999999999998, 0.15699999999999997, 0.0005000000000000004, 0.0, 0.05249999999999995, 0.11599999999999999, 0.045, 0.0, 0.0675, 0.07449999999999998, -0.15299999999999997, 0.06, 0.20199999999999999, 0.14549999999999996, -0.19799999999999998, 0.06, -0.06, -0.11249999999999999, -0.08249999999999999, 1.06, 1.0, 1.0, 1.0, 0.074, 0.0], "iou0": 0.9101025087622989, "iou": 0.9086341519384824, "res": [[812.0, 879.0, 35.0, 32.0], [718.0, 768.0, 29.0, 21.0], [627.0, 716.0, 49.0, 40.0], [722.0, 788.0, 29.0, 37.0], [772.0, 854.0, 33.0, 49.0]], "hand_fit": {"chamfer0": 0.7589232801359822, "chamfer": 0.6937098895038687, "iou0": 0.9090597255625512}}, "1,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.06, -0.23199999999999998, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.105, 0.0, 0.0, 0.0, 0.135, -0.12, 0.0, -0.015, 0.0, 0.12, 0.015, 0.2, 0.33199999999999996, -0.025, -0.49000000000000016, 0.177, 0.21500000000000002, 0.0, 0.0, 0.0, 0.0, 0.023, 0.0, 0.0, -0.09, 0.03, 0.0, 0.0, 0.0, 0.06, -0.18, 0.0, -0.06, -0.060000000000000005, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.06, -0.014500000000000006, 0.0, 0.0, 0.0675, 0.0, 0.0, 0.05199999999999999, 0.006999999999999999, 0.0, 0.18, 0.049, 0.045, 0.03099999999999999, 0.03, -0.15749999999999997, 0.022, 0.23249999999999998, -0.0335, -0.1645, 0.0185, -0.055499999999999994, 0.0, -0.08199999999999999, 1.17, 1.0, 1.0, 1.184, 0.0, 0.194], "iou0": 0.8934660217495753, "iou": 0.889486105000711, "res": [[838.0, 903.0, 33.0, 32.0], [743.0, 827.0, 40.0, 44.0], [608.0, 699.0, 45.0, 46.0], [674.0, 771.0, 45.0, 52.0], [735.0, 816.0, 39.0, 42.0]], "hand_fit": {"chamfer0": 0.7648373140168472, "chamfer": 0.743641404907426, "iou0": 0.8879694929144047}}, "1,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.10500000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09, 0.0, 0.0, -0.10499999999999998, 0.0, 0.15, 0.0, -0.12, -0.09, 0.0, -0.03, 0.0, 0.15, 0.0, 0.1, 0.237, -0.092, -0.19999999999999998, 0.4, 0.856, 0.0, -0.06, 0.0, 0.06, -0.015, 0.0, 0.015, 0.03700000000000002, 0.0, 0.0, 0.0, 0.0, 0.06, -0.308, 0.0, 0.09, -0.262, -0.03, 0.0, 0.0, 0.0, 0.105, 0.0075, 0.0, 0.0, 0.0, 0.0, 0.0225, -0.0075, 0.0, 0.007000000000000006, 0.0, 0.0, 0.18, 0.0, 0.12, 0.0, 0.0, 0.0975, 0.040999999999999995, -0.0485, 0.0, 0.0075, 0.05799999999999998, -0.03, 0.011, -0.075, 1.0, 1.0, 1.044, 1.0, 0.06, 0.0], "iou0": 0.9124873699562552, "iou": 0.9072000183548792, "res": [[815.0, 884.0, 35.0, 34.0], [729.0, 784.0, 22.0, 33.0], [588.0, 649.0, 27.0, 34.0], [682.0, 755.0, 44.0, 29.0], [750.0, 831.0, 39.0, 42.0]], "hand_fit": {"chamfer0": 1.5670552360757894, "chamfer": 1.4850080957490022, "iou0": 0.9080252002127847}}, "1,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.03, 0.0, 0.015, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, -0.11199999999999999, 0.0, -0.008, -0.12, 0.0, 0.0, 0.0, -0.16499999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09999999999999999, 0.0050000000000000044, -0.05, -0.14500000000000002, 0.49, 0.2, 0.0, 0.0, 0.0, 0.0, -0.023, 0.0, 0.0, -0.11199999999999999, -0.015, 0.0, 0.03, 0.0, 0.067, 0.03, 0.0, 0.075, 0.03, 0.03, 0.0, 0.0, 0.0, -0.026, -0.11199999999999999, 0.017000000000000022, -0.040999999999999995, 0.006999999999999999, 0.040999999999999995, 0.0485, -0.10849999999999999, -0.011, 0.0, 0.015, -0.0525, 0.034, 0.044, -0.015, -0.12749999999999997, 0.045, 0.10449999999999998, -0.0075, 0.045, 0.07499999999999998, -0.03, -0.006999999999999999, 0.1425, 0.0075, -0.075, 1.0, 1.0, 1.064, 1.02, 0.0, 0.18], "iou0": 0.8997565731902657, "iou": 0.9000560505160717, "res": [[787.0, 849.0, 27.0, 35.0], [680.0, 741.0, 36.0, 25.0], [711.0, 811.0, 37.0, 63.0], [780.0, 878.0, 45.0, 53.0], [762.0, 850.0, 34.0, 54.0]], "hand_fit": {"chamfer0": 0.7461679499552777, "chamfer": 0.7435165651450606, "iou0": 0.9000560505160717}}, "1,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.11199999999999999, 0.06, 0.0, 0.12, -0.06, 0.0, 0.0, -0.12, 0.0, 0.0, 0.12, 0.0, 0.0, -0.105, 0.12, 0.315, -0.06, -0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.015, 0.05499999999999999, -0.05, -0.487, 0.34500000000000003, 0.11500000000000002, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.09, -0.03, 0.0, 0.015, 0.0, 0.06, -0.21, 0.0, -0.045, -0.09, -0.075, 0.0, 0.0, -0.006, 0.0, 0.06, 0.16799999999999998, -0.011, 0.0, 0.06, -0.0075, 0.06, -0.0675, -0.2544999999999999, 0.0075, 0.0, 0.056499999999999995, -0.11300000000000002, 0.02949999999999999, 0.015, 0.045, 0.09, -0.06, -0.03, 0.014499999999999999, -0.0075, 0.06, 0.19499999999999995, 0.0, 0.03, 1.0, 0.79, 1.0, 1.0, 0.194, 0.0], "iou0": 0.9036063997066606, "iou": 0.9034891420040754, "res": [[783.0, 861.0, 30.0, 48.0], [669.0, 731.0, 26.0, 36.0], [758.0, 845.0, 34.0, 53.0], [791.0, 894.0, 57.0, 46.0], [767.0, 839.0, 33.0, 39.0]], "hand_fit": {"chamfer0": 0.6999529172504374, "chamfer": 0.6999529172504374, "iou0": 0.9034891420040754}}, "1,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.038, 0.0, -0.038, 0.015, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.105, 0.03, 0.03, -0.06, 0.015, -0.015, -0.06, 0.12, 0.0, 0.05, 0.105, 0.0, -0.45, 0.17500000000000002, -0.42500000000000004, 0.0, -0.06, 0.0, 0.06, 0.0, 0.0, -0.008, 0.15, 0.06, 0.0, 0.008, 0.0, 0.12, 0.0, 0.0, -0.068, 0.15699999999999997, -0.052, 0.0, 0.0, 0.006, 0.0225, 0.0, 0.0155, 0.03, 0.0, 0.075, 0.0335, -0.07849999999999999, 0.0, 0.0, 0.0, 0.006999999999999985, 0.11599999999999998, 0.0375, -0.0005000000000000004, -0.135, 0.105, 0.1425, -0.0075, 0.0, 0.0, 0.256, 0.03700000000000002, 0.017499999999999998, 0.0, -0.098, 0.79, 1.0, 1.0, 1.0, 0.27, -0.011999999999999997], "iou0": 0.8991102483438531, "iou": 0.9001702725979126, "res": [[801.0, 877.0, 34.0, 42.0], [732.0, 807.0, 40.0, 35.0], [674.0, 757.0, 34.0, 49.0], [693.0, 774.0, 40.0, 41.0], [751.0, 840.0, 35.0, 54.0]], "hand_fit": {"chamfer0": 1.2907101938940413, "chamfer": 1.2450897335250946, "iou0": 0.8987990518421155}}, "1,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.29200000000000004, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.27, 0.0, 0.12, 0.015, -0.172, 0.0, 0.0, -0.03, 0.0, 0.03, 0.0, -0.095, 0.227, -0.035, -0.5700000000000001, 0.36500000000000005, 0.25, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015000000000000013, 0.0, 0.0, 0.128, 0.0, 0.12, -0.06, 0.0, -0.12, 0.015, 0.0, 0.0, 0.0, 0.0, 0.09349999999999997, 0.0, -0.008000000000000007, 0.10099999999999999, 0.0, 0.0525, 0.0, -0.060000000000000005, 0.0075, 0.0, 0.0, 0.03, 0.01850000000000001, 0.22099999999999997, 0.07799999999999999, -0.05899999999999998, 0.06, -0.09, 0.045, 0.0, 0.03699999999999999, 0.296, 0.0635, 0.0265, 0.06, -0.1425, 0.926, 0.5999999999999999, 1.0, 1.0, 0.0, 0.21], "iou0": 0.8974329815201179, "iou": 0.8992995159552084, "res": [[811.0, 868.0, 27.0, 30.0], [683.0, 743.0, 40.0, 20.0], [692.0, 770.0, 36.0, 42.0], [714.0, 839.0, 77.0, 48.0], [763.0, 852.0, 45.0, 44.0]], "hand_fit": {"chamfer0": 0.7613096322397502, "chamfer": 0.7368653606604523, "iou0": 0.8993572792267143}}, "1,7": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.0, 0.0, -0.006999999999999999, 0.15000000000000002, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.0, -0.06, 0.0, 0.03, -0.06, -0.09, 0.0, 0.0, -0.015, 0.0, 0.045, 0.0, -0.04499999999999999, -0.095, -0.07500000000000001, -0.145, 0.44499999999999995, 0.10999999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008, 0.052, 0.0, 0.0, 0.105, 0.0, 0.0, 0.105, 0.0, 0.022, -0.029000000000000005, 0.03, 0.0, 0.0, 0.0, 0.08249999999999999, 0.0, 0.052000000000000005, 0.0, -0.026, 0.06, 0.0, 0.11599999999999999, -0.0075, 0.0005000000000000074, 0.0, 0.06, 0.1275, -0.0485, 0.105, 0.16249999999999998, 0.06, 0.026, 0.146, 0.187, 0.06000000000000001, -0.08999999999999997, 0.026, 0.0, -0.04799999999999999, -0.12, 0.8660000000000001, 1.05, 1.0, 1.0, -0.284, 0.136], "iou0": 0.8997405577364832, "iou": 0.8970770579520388, "res": [[796.0, 854.0, 31.0, 27.0], [638.0, 702.0, 35.0, 29.0], [584.0, 664.0, 42.0, 38.0], [759.0, 851.0, 40.0, 52.0], [766.0, 862.0, 45.0, 51.0]], "hand_fit": {"chamfer0": 0.979558452898836, "chamfer": 0.9817228464523395, "iou0": 0.8966086636012918}}, "1,8": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.03, 0.09, 0.0, -0.038, 0.036000000000000004, 0.0, -0.24, -0.12, 0.0, 0.0, 0.12, 0.12, 0.0, -0.18, 0.0, 0.12, -0.075, 0.06, -0.06, 0.0, 0.0, 0.0, 0.24, 0.0, 0.23, 0.16, 0.0, -0.6000000000000001, 0.05000000000000001, -0.25, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.06, 0.0, 0.12, 0.0, 0.075, 0.0, 0.0, 0.006999999999999999, -0.007000000000000006, 0.03, 0.0, 0.0, 0.0, 0.0185, 0.0, -0.086, -0.09, -2.7755575615628914e-17, 0.10449999999999998, 0.05199999999999999, 0.0, 0.172, -0.05999999999999995, 0.0, 0.0, 0.0335, 0.0525, -0.0075, 0.0185, 0.0525, -0.025500000000000005, 0.18, 0.2245, 0.11599999999999999, -0.06299999999999999, 0.0, 0.0, 0.0345, -0.06999999999999998, 0.76, 1.0, 0.9600000000000001, 1.0, -0.03, 0.021999999999999992], "iou0": 0.9045445130004675, "iou": 0.9048983514113681, "res": [[796.0, 872.0, 37.0, 39.0], [687.0, 744.0, 24.0, 33.0], [655.0, 749.0, 50.0, 44.0], [745.0, 825.0, 45.0, 35.0], [759.0, 831.0, 34.0, 38.0]], "hand_fit": {"chamfer0": 0.8563841227041328, "chamfer": 0.8274746615433868, "iou0": 0.9046757791753169}}, "1,9": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.0, 0.0, 0.015, -0.285, -0.015, 0.0, -0.022, 0.12, 0.0, 0.0, 0.0, -0.06, -0.044, 0.0, 0.045, 0.021999999999999992, 0.015, -0.12, 0.0, 0.0, 0.0, 0.24, 0.0, 0.07500000000000001, 0.385, 0.025, -0.355, 0.475, 0.9520000000000002, 0.0, 0.0, 0.0, 0.06, 0.12, 0.0, 0.105, -0.08199999999999999, 0.128, 0.0, 0.105, 0.0, 0.075, 0.0, 0.0, 0.11299999999999999, -0.03, -0.015, 0.0, -0.006, 0.0, 0.011, -0.10449999999999998, -0.006999999999999992, 0.0225, 0.0, -0.006499999999999999, 0.0525, 0.055999999999999994, -0.0525, 0.040999999999999995, 0.0, 0.0, 0.1865, -0.026, 0.0, -0.045, -0.006999999999999999, 0.0895, 0.14999999999999997, 0.01649999999999997, 0.0675, 0.0525, 0.03, 0.097, -0.040999999999999995, -0.045, 1.0, 1.0, 1.0, 1.0, -0.18, 0.16399999999999998], "iou0": 0.9009086224366035, "iou": 0.9010938408719575, "res": [[780.0, 858.0, 38.0, 40.0], [773.0, 860.0, 47.0, 40.0], [693.0, 779.0, 38.0, 48.0], [707.0, 791.0, 45.0, 39.0], [752.0, 819.0, 32.0, 35.0]], "hand_fit": {"chamfer0": 0.7527428243152551, "chamfer": 0.7659319511803643, "iou0": 0.8995371672865389}}, "10,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.067, 0.0, -0.008, 0.38899999999999996, 0.052, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.135, 0.0, -0.015, -0.105, -0.11199999999999999, 0.0, -0.12, 0.0, 0.06, 0.0, 0.0, -0.05, 0.56, -0.06, 0.25000000000000006, -0.155, -0.24, 0.0, 0.0, 0.0, 0.09, -0.12, -0.03, 0.03, 0.03, 0.09, 0.0, 0.06, 0.0, 0.075, 0.0, 0.0, 0.0, -0.285, 0.0, 0.0, 0.0, 0.0, -0.20849999999999996, -0.18, 0.14949999999999997, 0.0, -0.0005000000000000004, 0.0, -0.08249999999999999, -0.1235, -0.08250000000000002, 0.0335, -0.0225, -0.008, 0.16849999999999998, -0.14300000000000002, 0.015, 0.16499999999999998, 0.055999999999999994, 0.1425, 0.0, -0.0075, -0.011, 0.02549999999999999, 0.0, -0.07849999999999999, -0.09599999999999997, -0.12, 1.0639999999999998, 0.07000000000000003, 1.168, 1.0, 0.284, 0.12], "iou0": 0.8800618979977933, "iou": 0.8783032066757859, "res": [[622.0, 719.0, 48.0, 49.0], [706.0, 777.0, 39.0, 32.0], [809.0, 927.0, 46.0, 72.0], [754.0, 859.0, 39.0, 66.0], [622.0, 708.0, 43.0, 43.0]], "hand_fit": {"chamfer0": 1.0019428750686417, "chamfer": 1.0019428750686417, "iou0": 0.8783032066757859}}, "10,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015, 0.3, 0.0, 0.21, 0.08099999999999999, 0.18, 0.06, 0.0, 0.0, 0.0, 0.03, 0.045, 0.0, -0.03, 0.0, 0.15, 0.052, 0.24, 0.06, -0.12, 0.0, 0.0, 0.0, 0.0, -0.08499999999999999, 0.12999999999999998, 0.0, 0.582, 0.01699999999999996, -0.205, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.135, -0.142, 0.12, 0.0, 0.0, 0.0, 0.075, 0.14999999999999997, 0.03, -0.06, 0.375, 0.09, 0.0, 0.0, 0.0, 2.7755575615628914e-17, -0.13799999999999996, 0.03, 0.0, 0.011, 0.0675, -0.040999999999999995, 0.02500000000000001, -0.10449999999999998, 0.123, 0.0485, 0.015, 0.07099999999999998, 0.0, 0.029500000000000002, 0.124, 0.021999999999999995, -0.007000000000000006, -0.03699999999999999, -0.015, 0.03, 0.044500000000000005, -0.112, 0.0075, -0.060000000000000005, -0.015, 1.0, 0.29600000000000004, 1.08, 1.0, -0.44799999999999995, 0.0], "iou0": 0.8720611759771119, "iou": 0.8738244310798668, "res": [[649.0, 724.0, 37.0, 38.0], [673.0, 763.0, 51.0, 39.0], [822.0, 966.0, 72.0, 72.0], [772.0, 882.0, 37.0, 73.0], [654.0, 753.0, 44.0, 55.0]], "hand_fit": {"chamfer0": 0.9035953528121723, "chamfer": 0.8838845774195327, "iou0": 0.8737669992972832}}, "10,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.0, 0.0, 0.0, -0.11199999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.22499999999999998, 0.0, 0.24, 0.23299999999999998, 0.18, 0.0, 0.12, 0.0, 0.0, -0.008, 0.0, -0.3, 0.10399999999999998, 0.0, 0.325, 0.29900000000000004, 0.17, 0.0, 0.0, 0.0, 0.12, 0.045, 0.0, 0.0, 0.20999999999999996, 0.06, 0.0, 0.0, 0.0, 0.09, 0.12, 0.0, 0.03, 0.10500000000000001, 0.09, 0.0, -0.006, 0.0, -0.071, -0.21, 0.015, 0.12, 0.045, 0.0525, 0.13699999999999996, 0.12, -0.0595, 0.0, -0.0005000000000000074, 0.05149999999999996, 0.0075, 0.060500000000000005, -0.15299999999999997, 0.13799999999999998, 1.3877787807814457e-17, 0.0075, 0.0, -0.105, -0.011500000000000007, 0.071, -0.0185, 0.0525, -0.04799999999999999, 0.002999999999999999, 1.0, 0.22000000000000003, 1.014, 1.0, 0.044, 0.12], "iou0": 0.8816119889371776, "iou": 0.8810083684417005, "res": [[731.0, 826.0, 44.0, 51.0], [708.0, 790.0, 32.0, 50.0], [735.0, 854.0, 59.0, 60.0], [697.0, 787.0, 50.0, 40.0], [742.0, 839.0, 42.0, 55.0]], "hand_fit": {"chamfer0": 0.833676299403266, "chamfer": 0.7924630749609067, "iou0": 0.881015640541262}}, "10,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.128, 0.105, 0.0, 0.0, -0.075, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008000000000000007, 0.0, 0.12, -0.12, -0.12, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, -0.24, 0.44999999999999996, -0.008, 0.30500000000000005, 0.009999999999999995, -0.15499999999999997, 0.0, -0.015, 0.0, 0.11199999999999999, -0.128, 0.0, 0.03, -0.037000000000000005, 0.0, 0.0, 0.0, 0.0, 0.06, 0.015, 0.06, 0.0, -0.187, -0.045, 0.0, 0.0, 0.0, -0.071, -0.11199999999999999, 0.075, 0.055999999999999994, 0.0485, 0.06, 0.0635, -0.15699999999999997, 0.0225, 0.0005000000000000004, 0.03699999999999999, 0.09749999999999998, -0.0005000000000000074, 0.0485, -0.026, 0.146, -0.03699999999999999, -0.08849999999999997, -0.10449999999999998, -0.055999999999999994, 0.11249999999999999, 0.040999999999999995, 0.09749999999999999, -0.086, 0.0, -0.10099999999999998, 1.17, 0.264, 1.0, 1.0, 0.0, 0.344], "iou0": 0.8791477650679079, "iou": 0.8808110126288453, "res": [[760.0, 846.0, 38.0, 48.0], [679.0, 748.0, 31.0, 38.0], [696.0, 797.0, 64.0, 37.0], [719.0, 838.0, 72.0, 47.0], [767.0, 885.0, 47.0, 71.0]], "hand_fit": {"chamfer0": 1.3993088610004887, "chamfer": 1.3530258000985924, "iou0": 0.8805746060094599}}, "10,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.015, 0.0, -0.03, 0.202, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, -0.31399999999999995, 0.09, 0.0, -0.12, 0.0, 0.06, 0.0, 0.0, -0.145, 0.037, 0.0, 0.849, -0.251, 0.0, 0.0, -0.03, 0.0, 0.09, 0.03, 0.0, 0.0, 0.075, 0.26999999999999996, 0.0, 0.015, 0.0, 0.052, -0.135, 0.0, 0.12, -0.11199999999999999, -0.09, -0.006, -0.018000000000000002, 0.0, -0.0635, 0.07499999999999998, 0.044, 0.03, 0.142, 0.0, 0.075, -0.003500000000000003, 0.12, 0.014500000000000002, 0.0010000000000000009, 0.0005000000000000074, 0.18000000000000002, -0.015, 0.031, 0.135, 0.0, -0.14599999999999996, -0.04849999999999999, -0.055999999999999994, -0.10450000000000001, 0.028999999999999998, 0.075, -0.048, 0.015, -0.03, 1.1239999999999999, 0.9440000000000001, 1.0, 0.76, 0.27, 0.15], "iou0": 0.876902557293708, "iou": 0.8802250762618661, "res": [[742.0, 826.0, 48.0, 36.0], [623.0, 692.0, 30.0, 39.0], [801.0, 928.0, 63.0, 64.0], [789.0, 920.0, 64.0, 67.0], [740.0, 841.0, 49.0, 52.0]], "hand_fit": {"chamfer0": 0.9120406102745833, "chamfer": 0.8202903028710541, "iou0": 0.8791866210638297}}, "10,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, 0.24, 0.0, 0.06, 0.037, 0.135, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.524, 0.0, -0.015, 0.18699999999999994, 0.16499999999999998, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, -0.145, 0.915, 0.0, -0.17500000000000002, -0.155, -0.35000000000000003, 0.0, 0.0, 0.0, 0.03, -0.03, 0.0, -0.015, -0.36, 0.0, 0.0, 0.06, 0.0, 0.06, 0.03, 0.0, 0.105, 0.33699999999999997, 0.0, 0.0, -0.006, 0.0, -0.15699999999999997, -0.18, 0.0325, 0.06, -0.07049999999999992, -0.058999999999999955, -0.09349999999999992, 0.0485, -0.006999999999999992, 0.0225, 0.055999999999999994, 0.08549999999999999, 0.105, 0.03, -0.09, 0.075, -0.021999999999999992, -0.206, -0.040999999999999995, -0.0675, 0.18, 0.064, -0.006999999999999999, -0.086, 0.06, -0.19499999999999998, 1.0000000000000002, 0.28, 1.02, 1.0, 0.0, 0.0], "iou0": 0.874837384560597, "iou": 0.872762762474804, "res": [[777.0, 877.0, 48.0, 52.0], [658.0, 746.0, 35.0, 53.0], [666.0, 773.0, 64.0, 43.0], [755.0, 850.0, 50.0, 45.0], [707.0, 823.0, 48.0, 68.0]], "hand_fit": {"chamfer0": 1.1354636734720318, "chamfer": 1.0649679432310042, "iou0": 0.8724013152345786}}, "10,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.06, -0.036, 0.0, -0.172, 0.2039999999999999, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.24, 0.0, 0.24, -0.142, -0.11199999999999999, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, -0.12, 0.38999999999999996, 0.0, 0.16, -0.21500000000000002, -0.395, 0.0, 0.0, 0.0, 0.09, -0.04399999999999999, 0.0, 0.015, 0.14200000000000002, 0.008000000000000007, 0.0, 0.015, 0.0, 0.06, -0.105, 0.0, 0.06, 0.172, -0.06, 0.0, -0.006, 0.0, -0.19249999999999998, -0.12, 0.0, 0.0155, -0.0049999999999999906, 0.0, -0.0375, -0.10849999999999999, -0.0335, -0.0675, 0.040999999999999995, 0.16499999999999998, 0.105, -0.10099999999999999, -0.1315, 0.17199999999999996, -0.012999999999999984, -0.06, -0.052500000000000005, -0.03, -0.127, 0.142, -0.14599999999999996, -0.03, -0.006999999999999999, -0.12299999999999998, 0.99, 0.55, 1.0, 0.9600000000000001, 0.057999999999999996, -0.016], "iou0": 0.8849973948917166, "iou": 0.8862844539556154, "res": [[733.0, 826.0, 37.0, 56.0], [621.0, 699.0, 42.0, 36.0], [731.0, 812.0, 41.0, 40.0], [743.0, 834.0, 31.0, 60.0], [687.0, 790.0, 46.0, 57.0]], "hand_fit": {"chamfer0": 0.785157352797926, "chamfer": 0.778121449335101, "iou0": 0.8863403962970098}}, "11,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, 0.46499999999999997, 0.0, 0.0, 0.0, 0.0, -0.06, -0.12, -0.12, 0.0, -0.18, 0.0, -0.11199999999999999, -0.5619999999999999, 0.3, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.205, 0.095, 0.11499999999999998, -0.01200000000000001, -0.37000000000000005, 0.0, 0.0, 0.0, 0.06, 0.03, 0.0, 0.0, -0.292, 0.03, 0.0, 0.06, 0.0, 0.12, -0.11199999999999999, 0.0, 0.0, -0.052, -0.127, 0.0, 0.0, 0.0, -0.15349999999999997, 0.0, 0.010499999999999957, -0.16099999999999998, 0.021999999999999985, 0.11249999999999999, -0.26949999999999996, 0.059500000000000004, 0.0, -0.10099999999999999, 0.14199999999999996, 0.08249999999999999, 0.203, -0.0975, 0.015, 0.10099999999999999, 0.0, 0.0, -0.0225, -0.0075, 0.11249999999999999, 0.11199999999999999, 0.0925, 0.0, 0.0, -0.037, 1.154, 0.52, 0.96, 1.0, 0.0, 0.0], "iou0": 0.8960718609151073, "iou": 0.8952678942059485, "res": [[713.0, 807.0, 51.0, 43.0], [622.0, 686.0, 43.0, 21.0], [784.0, 898.0, 54.0, 60.0], [812.0, 896.0, 48.0, 36.0], [730.0, 798.0, 35.0, 33.0]], "hand_fit": {"chamfer0": 0.4453493105765367, "chamfer": 0.42184694809362605, "iou0": 0.894176202733307}}, "11,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, -0.06, 0.0, 0.36, 0.09, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, -0.06, 0.0, 0.12, 0.0, 0.03, 0.142, 0.105, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025, 0.39999999999999997, 0.0, -0.405, 0.435, -0.19999999999999998, 0.0, 0.0, 0.0, 0.12, -0.24, -0.023, 0.06, -0.089, 0.031, 0.0, 0.03, 0.0, 0.0, -0.09, 0.0, 0.09, -0.307, 0.0, 0.0, -0.006, 0.0, -0.14199999999999996, -0.015, 0.0, -0.030000000000000027, 0.0, 0.0, -0.07849999999999999, -0.003500000000000003, -0.03199999999999999, 0.0, 0.0935, -0.0225, 0.053, -0.045, -0.006999999999999951, 0.10249999999999998, 0.005999999999999998, -0.07449999999999998, 0.040999999999999995, -0.041499999999999995, 0.0, -0.0635, 0.0, -0.22499999999999998, 0.0225, -0.11249999999999999, 1.0, 1.0, 1.1099999999999999, 1.02, 0.0020000000000000018, 0.104], "iou0": 0.8513366721603491, "iou": 0.8522531689245267, "res": [[605.0, 720.0, 45.0, 70.0], [746.0, 882.0, 61.0, 75.0], [772.0, 900.0, 75.0, 53.0], [664.0, 757.0, 52.0, 41.0], [591.0, 703.0, 63.0, 49.0]], "hand_fit": {"chamfer0": 0.7143274806013256, "chamfer": 0.6367571537702459, "iou0": 0.8529852382429046}}, "11,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.10499999999999998, 0.12, 0.06, 0.03, 0.187, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.08199999999999999, -0.06, 0.18, 0.012999999999999984, 0.19399999999999998, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.12499999999999994, 0.0, 0.71, 0.38499999999999995, -0.2900000000000001, 0.0, 0.0, 0.0, 0.105, -0.135, 0.0, 0.12, -0.24, 0.0, 0.03, 0.0, 0.0, 0.06, -0.262, 0.0, 0.015, 0.0, -0.09, 0.0, -0.006, 0.0, -0.22049999999999997, -0.285, -0.10850000000000001, 0.0, 0.136, 0.0, -0.08250000000000002, -0.075, 0.022, -0.05199999999999999, 0.1235, 0.03, 0.16599999999999998, 0.010999999999999985, -0.075, 0.10500000000000001, 0.0, -0.18, -0.0255, 0.0, -0.045, 0.086, -0.015, -0.1835, 0.004, 0.006999999999999999, 1.0, 0.16000000000000003, 0.926, 0.88, -0.044, 0.12], "iou0": 0.8879306420118613, "iou": 0.8842614752944389, "res": [[628.0, 692.0, 32.0, 32.0], [743.0, 825.0, 37.0, 45.0], [810.0, 940.0, 61.0, 69.0], [749.0, 835.0, 46.0, 40.0], [647.0, 742.0, 54.0, 41.0]], "hand_fit": {"chamfer0": 0.513048135879552, "chamfer": 0.5098929191904489, "iou0": 0.884210066425976}}, "11,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.008, 0.0, -0.13399999999999998, -0.11199999999999999, 0.0, 0.0, 0.0, -0.008, 0.0, 0.06, -0.11199999999999999, -0.03, 0.0, 0.16399999999999998, -0.011999999999999976, 0.06, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, -0.06, 0.26999999999999996, 0.0, 0.59, 0.32699999999999996, -0.040000000000000015, 0.0, -0.03, 0.0, 0.03, 0.0, 0.0, 0.03, -0.16499999999999998, 0.0, 0.0, 0.0, 0.0, 0.045, 0.24, 0.0, 0.0, 0.156, 0.12, 0.0, -0.006, 0.006, -0.026, -0.052, -0.046999999999999986, -0.015, 0.11599999999999999, 0.005000000000000001, 0.052499999999999984, 0.0, 0.015, -0.0075, 0.028999999999999998, 0.2175, 0.23249999999999998, -0.033, -0.03, 0.05199999999999999, 0.0, -0.05199999999999999, 0.034, 0.09, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 1.0, 0.28, 1.0, 1.0, 0.0, 0.0], "iou0": 0.8996992700586016, "iou": 0.8991209761183574, "res": [[616.0, 663.0, 24.0, 23.0], [673.0, 737.0, 31.0, 33.0], [725.0, 820.0, 47.0, 48.0], [711.0, 802.0, 47.0, 44.0], [694.0, 777.0, 61.0, 22.0]], "hand_fit": {"chamfer0": 0.5121661282911991, "chamfer": 0.49580228578557584, "iou0": 0.8991232008396832}}, "11,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.0, 0.0, 0.0, -0.246, -0.12, 0.0, 0.0, 0.0, 0.0, -0.06, -0.06, -0.068, -0.044, 0.06, -0.027999999999999997, -0.028999999999999984, 0.045, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.175, 0.0, 0.275, 0.15899999999999995, -0.23, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.03, -0.367, 0.0, 0.0, 0.06, 0.0, 0.06, 0.18, 0.0, 0.0, 0.06000000000000001, -0.015, 0.0, 0.0, 0.006, -0.015, 0.03, 0.0, 0.015, 0.0, 0.08899999999999998, 0.048, -0.025499999999999978, 0.0225, 8.326672684688674e-17, 0.0, 0.022, 0.172, 0.0075, 0.0075, 0.146, -0.086, -0.09, -0.135, 0.21, 0.105, 0.0375, 0.07499999999999998, -0.12, 0.043999999999999984, 0.0, 1.02, 0.026000000000000037, 1.0, 1.17, -0.06, -0.013999999999999999], "iou0": 0.8803802511774972, "iou": 0.8786744725434031, "res": [[702.0, 765.0, 35.0, 28.0], [658.0, 735.0, 37.0, 40.0], [734.0, 835.0, 62.0, 39.0], [688.0, 797.0, 67.0, 42.0], [702.0, 828.0, 63.0, 63.0]], "hand_fit": {"chamfer0": 0.6245034778047149, "chamfer": 0.6139540923586905, "iou0": 0.8786744725434031}}, "12,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.12, 0.12, 0.0, 0.0, 0.09, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, -0.292, 0.016000000000000014, 0.0, 0.12, 0.0, -0.12, 0.0, 0.0, -0.06, -0.06, 0.442, 0.0, 0.25, 0.06, -0.03, 0.0, 0.0, 0.0, 0.06, 0.06, 0.0, 0.06, -0.082, 0.11199999999999999, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, 0.068, -0.04500000000000001, 0.12, 0.0, -0.006, 0.0, 0.16599999999999998, 0.06, -0.0525, -0.0675, 0.11199999999999999, 0.0, -0.07749999999999996, -0.0525, -0.0075, -0.05899999999999998, 0.0, 0.19299999999999995, 0.052000000000000005, 0.0675, -0.0865, 0.113, 0.0075, -0.05199999999999999, -0.07849999999999999, -0.03, 0.0075, 0.12349999999999994, 0.0, -0.097, -0.02949999999999999, -0.075, 1.0, 0.37, 1.2, 1.0939999999999999, 0.016, -0.194], "iou0": 0.8689553001586215, "iou": 0.8727491744373619, "res": [[707.0, 808.0, 60.0, 41.0], [717.0, 809.0, 53.0, 39.0], [779.0, 882.0, 57.0, 46.0], [670.0, 772.0, 47.0, 55.0], [655.0, 759.0, 57.0, 47.0]], "hand_fit": {"chamfer0": 0.5499246660276983, "chamfer": 0.5499246660276983, "iou0": 0.8727491744373619}}, "12,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.105, 0.0, 0.12, 0.06599999999999998, 0.015, 0.008, 0.0, -0.12, 0.015, -0.12, 0.0, 0.0, -0.015, 0.0, -0.044, -0.02300000000000002, 0.0, 0.015, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, -0.05499999999999999, 0.03, 0.325, 0.36, -0.23800000000000002, 0.0, -0.03, 0.0, 0.045, 0.105, 0.0, 0.12, -0.015, 0.218, 0.008, 0.0, 0.0, 0.015, 0.11199999999999999, 0.006999999999999999, 0.0, -0.12, 0.14899999999999997, 0.0, 0.0, 0.0, 0.20900000000000002, -0.06349999999999995, -0.086, -0.135, 0.10049999999999998, 0.07099999999999995, -0.022, -0.019, -0.10049999999999998, -0.128, 0.07349999999999998, 0.266, 0.0075, 0.0525, -0.11199999999999999, 0.03, 0.123, -0.16449999999999998, -0.05600000000000001, -0.18, 0.15299999999999997, 0.13249999999999998, 0.08199999999999999, -0.142, 0.0, -0.052, 1.0, 1.0, 0.6640000000000001, 0.7020000000000002, 0.0, 0.0], "iou0": 0.8589391445898844, "iou": 0.857717779618865, "res": [[684.0, 781.0, 42.0, 55.0], [679.0, 793.0, 55.0, 59.0], [682.0, 807.0, 59.0, 66.0], [626.0, 714.0, 42.0, 46.0], [627.0, 744.0, 53.0, 64.0]], "hand_fit": {"chamfer0": 0.6724280776905478, "chamfer": 0.6329222177174882, "iou0": 0.8582393410754398}}, "11,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, 0.0, 0.0, -0.015, -0.119, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.05, 0.0, 0.707, 0.35500000000000004, 0.545, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, -0.015, -0.18, 0.0, 0.0, 0.06, 0.0, 0.06, 0.068, 0.0, 0.052, -0.045, -0.068, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.026, 0.0, 0.07849999999999999, 0.03, 0.0935, 0.015, -0.011, 0.0185, 0.0, 0.19499999999999998, 0.0225, -0.006999999999999999, 0.28049999999999997, -0.014500000000000006, -0.06699999999999999, -0.04799999999999999, -0.016, 0.014499999999999999, 0.05199999999999999, 0.0225, -0.03, 0.11549999999999999, -0.127, 0.28, 1.0, 1.14, 0.88, 0.057999999999999996, 0.0], "iou0": 0.8879163986376026, "iou": 0.8898173719283609, "res": [[577.0, 629.0, 16.0, 36.0], [666.0, 740.0, 47.0, 27.0], [730.0, 841.0, 61.0, 50.0], [702.0, 796.0, 39.0, 55.0], [691.0, 787.0, 52.0, 44.0]], "hand_fit": {"chamfer0": 0.6802032618316304, "chamfer": 0.6486761135948738, "iou0": 0.889596442152037}}, "11,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.07500000000000001, 0.0, 0.12, 0.037, 0.015, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.0, -0.068, 0.10500000000000001, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.025, 0.14200000000000002, 0.025, 0.18999999999999997, 0.295, 0.26999999999999996, 0.0, -0.015, 0.0, 0.06, -0.045, 0.0, 0.06, -0.12, 0.068, 0.0, 0.008, 0.0, 0.06, -0.12, 0.0, 0.06, 0.036, -0.248, 0.0, -0.006, 0.0, -0.16099999999999998, -0.1725, -0.172, 0.0185, 0.0335, 0.015, -0.055999999999999994, 0.18, 0.0, -0.0525, -0.03, 0.03, 0.1945, -0.10849999999999999, 0.09, 0.236, -0.055999999999999994, -0.165, -0.07849999999999999, 0.008000000000000014, -0.016, -0.015, 0.0, -0.15499999999999994, 0.0, -0.0075, 0.88, 0.16000000000000003, 1.0, 1.0, -0.19199999999999995, 0.0], "iou0": 0.8793508387809161, "iou": 0.878558400131174, "res": [[694.0, 764.0, 38.0, 32.0], [581.0, 648.0, 25.0, 42.0], [710.0, 811.0, 47.0, 54.0], [768.0, 884.0, 56.0, 60.0], [729.0, 852.0, 61.0, 62.0]], "hand_fit": {"chamfer0": 1.6707252960215144, "chamfer": 1.4402956944154774, "iou0": 0.8798902629502235}}, "12,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.105, 0.42699999999999994, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, -0.022, 0.09, 0.0, 0.03, -0.14099999999999996, 0.105, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, 0.0, 0.12, 0.16999999999999998, 0.767, 0.37, -0.145, 0.0, -0.015, 0.0, 0.105, -0.14300000000000002, 0.0, -0.03, 0.16399999999999998, -0.015, 0.0, 0.015, 0.0, 0.12, -0.097, 0.008, 0.015, 0.03, -0.09599999999999997, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, -0.03249999999999999, 0.0075, 0.10099999999999999, -0.0375, -0.0635, 0.0375, 0.06, 0.0675, 0.08199999999999999, 0.067, -0.060000000000000005, -0.040999999999999995, 0.006999999999999999, 0.12, 0.0, -0.07850000000000006, 0.03349999999999998, 0.0009999999999999974, 0.022, 0.0225, 0.0525, 0.0, -0.0525, 0.07000000000000003, 0.5800000000000001, 1.014, 0.94, 0.09, 0.088], "iou0": 0.8870532811682965, "iou": 0.8855080300345974, "res": [[684.0, 788.0, 66.0, 38.0], [746.0, 840.0, 49.0, 45.0], [833.0, 934.0, 55.0, 46.0], [742.0, 825.0, 46.0, 37.0], [670.0, 747.0, 46.0, 31.0]], "hand_fit": {"chamfer0": 0.5024529410658372, "chamfer": 0.4518953819520261, "iou0": 0.8865441018084887}}, "12,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.023, 0.0, 0.27, -0.075, 0.06, 0.008, 0.0, 0.023, 0.0, -0.015, -0.008, 0.0, 0.008, 0.008, 0.0, 0.0, 0.0, 0.0, 0.0, -0.105, 0.0, 0.03, 0.0, -0.155, 0.13, 0.0, 0.75, 0.285, 0.12000000000000001, 0.0, -0.09, 0.0, 0.06, -0.06, 0.06, 0.0, -0.045, 0.105, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.008, -0.021999999999999992, 0.0, 0.0, 0.0, 0.006, 0.15, -0.004, 0.0, -0.021999999999999992, 0.07549999999999996, 0.043999999999999984, -0.19049999999999997, 0.022, 0.0, 0.0, 0.0, 0.045, 0.06, -0.105, -0.075, -0.0075, 0.0, -0.19099999999999998, -0.07500000000000001, -0.0225, 0.045, 0.10850000000000001, 0.06, 0.011499999999999993, -0.03, -0.0525, 1.0, 1.0, 1.0, 1.0, 0.0, 0.12], "iou0": 0.8987251794621807, "iou": 0.9015579216231565, "res": [[660.0, 723.0, 24.0, 39.0], [672.0, 762.0, 46.0, 44.0], [760.0, 860.0, 52.0, 48.0], [723.0, 788.0, 32.0, 33.0], [701.0, 768.0, 26.0, 41.0]], "hand_fit": {"chamfer0": 0.530565679856309, "chamfer": 0.4869515544939966, "iou0": 0.9018197017278686}}, "12,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.40499999999999997, 0.0, 0.067, -0.067, -0.12, 0.0, 0.12, 0.12, -0.24, -0.12, 0.0, 0.24, 0.12, 0.0, 0.052, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.125, -0.1, 0.30000000000000004, 0.515, -0.2919999999999999, 0.0, 0.0, 0.0, 0.06, -0.015, -0.015, -0.03, 0.038, 0.015, 0.03, 0.0, 0.0, 0.008, 0.0, 0.06, 0.135, 0.13499999999999998, -0.12, 0.0, -0.006, 0.0, -0.10149999999999999, -0.10849999999999999, 0.0075, 0.055999999999999994, -0.007000000000000006, 0.0, 0.0, 0.0075, -0.05550000000000001, 0.0, 0.0, 0.0, 0.017500000000000036, -0.007500000000000014, -0.08899999999999994, 0.15349999999999997, 0.022, -0.33049999999999996, 0.0, 0.055499999999999994, 0.0005000000000000004, -0.021999999999999995, 0.0895, -0.015, -0.08199999999999999, -0.06, 1.0, 1.0, 1.0, 1.0, 0.076, 0.0], "iou0": 0.8872462654904284, "iou": 0.8861073864672857, "res": [[576.0, 629.0, 27.0, 26.0], [618.0, 692.0, 31.0, 43.0], [656.0, 763.0, 59.0, 48.0], [658.0, 727.0, 25.0, 44.0], [647.0, 740.0, 46.0, 47.0]], "hand_fit": {"chamfer0": 0.9310442272985293, "chamfer": 0.9208666561044779, "iou0": 0.8860947198467993}}, "12,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.015, -0.006999999999999999, -0.08899999999999997, -0.015, 0.135, 0.12, 0.0, -0.12, 0.0, 0.0, 0.0, 0.06, 0.0, -0.02799999999999997, 0.015, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, -0.05, 0.19999999999999998, -0.025, 0.47500000000000003, 0.42699999999999994, -0.38499999999999995, 0.0, 0.0, 0.0, 0.06, -0.068, 0.0, 0.03, -0.03, 0.03, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.068, 0.119, -0.06, 0.006, 0.0, 0.0, -0.0375, -0.037, 0.07849999999999999, -0.06, 0.0, -0.0014999999999999666, 0.055999999999999994, 0.08249999999999999, 0.0, 0.1425, 0.045, 0.0, 0.09, 0.06, -0.09199999999999998, 0.262, -0.0005000000000000074, -0.19449999999999995, -0.063, -0.11199999999999999, -0.0485, 0.35, 0.0, -0.2435, -0.08299999999999999, -0.055999999999999994, 1.0, 1.0, 1.0, 1.0, -0.3, -0.20799999999999996], "iou0": 0.8918158986580149, "iou": 0.8914137608530291, "res": [[655.0, 724.0, 40.0, 29.0], [610.0, 677.0, 23.0, 44.0], [669.0, 757.0, 55.0, 33.0], [689.0, 752.0, 20.0, 43.0], [665.0, 775.0, 45.0, 65.0]], "hand_fit": {"chamfer0": 1.2774590744739138, "chamfer": 1.1503874486280654, "iou0": 0.8908553260253536}}, "12,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.06, 0.44199999999999995, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015, 0.0, -0.06, -0.14999999999999997, 0.0, -0.075, -0.015, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.05, 0.545, 0.025, 0.313, 0.275, -0.08000000000000002, 0.0, 0.0, 0.0, 0.06, -0.03, 0.0, 0.015, -0.135, 0.03, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.03, -0.13399999999999998, -0.016000000000000014, 0.0, 0.0, 0.0, -0.05899999999999998, 0.022, 0.03, 0.06, 0.0075, 0.0075, 0.052, 0.0005000000000000004, 0.03, -0.086, 0.0, 0.0, 0.18, 0.06, 0.09, 0.0, 0.0, -0.124, -0.07799999999999999, 0.0, 0.0, 0.11199999999999999, 0.0525, -0.1835, -0.0185, -0.09, 0.4, 1.0, 1.0, 1.0, 0.0, 0.24], "iou0": 0.88406312414876, "iou": 0.8853996032037547, "res": [[647.0, 735.0, 48.0, 40.0], [632.0, 730.0, 50.0, 48.0], [721.0, 806.0, 47.0, 38.0], [694.0, 772.0, 32.0, 46.0], [628.0, 713.0, 46.0, 39.0]], "hand_fit": {"chamfer0": 0.5803002872641165, "chamfer": 0.5655640803426863, "iou0": 0.8831457745614323}}, "13,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.105, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.03, -0.15, 0.06, 0.24, 0.24, -0.36, -0.12, 0.09, -0.12, -0.12, 0.4949999999999999, 0.0, 0.385, 0.5350000000000001, -0.19, 0.0, 0.0, 0.0, 0.06, -0.052, 0.0, 0.06, -0.278, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.022, -0.015000000000000013, 0.10399999999999998, 0.0, -0.006, 0.0, -0.28099999999999997, 0.0, -0.06699999999999998, 0.026, 0.20949999999999996, 0.15, 0.0075, -0.03, 0.007500000000000014, -0.075, 0.0, 0.176, -0.071, -0.015, 0.03, 0.055999999999999994, 0.022, -0.06, 0.0, 0.044, 0.034, 0.07500000000000001, 0.023999999999999973, -0.004, -0.0075, -0.22799999999999998, 0.67, 0.43000000000000005, 1.0, 1.14, 0.36, 0.0], "iou0": 0.9018505230442269, "iou": 0.8992707753186011, "res": [[634.0, 722.0, 50.0, 38.0], [694.0, 764.0, 38.0, 32.0], [734.0, 809.0, 25.0, 50.0], [703.0, 770.0, 23.0, 44.0], [666.0, 737.0, 42.0, 29.0]], "hand_fit": {"chamfer0": 0.6258571101275641, "chamfer": 0.571224520664164, "iou0": 0.8997054224350174}}, "13,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.06, 0.0, 0.015, 0.538, 0.0, 0.0, 0.0, 0.06, 0.008, 0.0, -0.008, 0.0, 0.08399999999999999, 0.0, -0.14300000000000002, 0.03, 0.12, 0.12, 0.12, -0.12, 0.0, 0.0, -0.18, -0.05, 0.41999999999999993, 0.0, 0.555, 0.345, -0.16000000000000003, 0.0, 0.0, 0.0, 0.03, -0.16499999999999998, 0.0, 0.12, -0.5249999999999999, 0.015, 0.0, 0.0, 0.0, 0.015, -0.16499999999999998, 0.0, 0.135, -0.015, -0.15, 0.0, -0.018000000000000002, 0.0, -0.15649999999999994, -0.16499999999999998, -0.075, -0.005999999999999978, -0.013999999999999999, 0.09249999999999997, -0.0525, -0.172, 0.127, -0.08599999999999991, -0.045, 0.10099999999999995, 0.086, 0.06, -0.007000000000000006, 0.05550000000000001, -0.03, -0.21699999999999997, 0.21, 0.026, 0.08249999999999999, 0.0225, 0.0485, -0.09699999999999999, 0.026, -0.07499999999999998, 0.22000000000000003, 1.0, 1.104, 1.0, -0.044, -0.104], "iou0": 0.896704866373709, "iou": 0.896168668837501, "res": [[648.0, 721.0, 43.0, 30.0], [747.0, 831.0, 34.0, 50.0], [699.0, 783.0, 36.0, 48.0], [625.0, 695.0, 45.0, 25.0], [640.0, 716.0, 40.0, 36.0]], "hand_fit": {"chamfer0": 0.5299549920473628, "chamfer": 0.5259923695796356, "iou0": 0.8961397256516905}}, "13,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.022, 0.0, 0.0, -0.015, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.135, -0.06, -0.27699999999999997, -0.015, 0.32999999999999996, 0.18, 0.0, -0.12, 0.0, 0.0, -0.12, 0.0, 0.24000000000000002, 0.0, 0.42500000000000004, 0.489, -0.007999999999999952, 0.0, -0.008, 0.0, 0.06, 0.024, -0.008, 0.11200000000000002, -0.15699999999999997, 0.12, 0.0, 0.0, 0.0, 0.105, -0.24, 0.0, 0.045, -0.015, 0.068, 0.0, 0.0, 0.0, 0.03, -0.18749999999999992, 0.06, -0.0005000000000000004, 0.0, 0.03, 0.0, -0.060000000000000005, 0.146, -0.045, -0.0075, 0.018, 0.0, -0.0525, 0.040999999999999995, 0.14649999999999996, 0.024999999999999988, -0.006999999999999999, 0.0635, -0.15749999999999997, 0.0, 0.14549999999999996, 0.03249999999999999, -0.13799999999999998, 0.0, -0.20549999999999996, 1.0, 0.29600000000000004, 1.0, 1.0, -0.016, 0.07400000000000001], "iou0": 0.875824312502772, "iou": 0.8746888685119989, "res": [[639.0, 718.0, 38.0, 41.0], [676.0, 763.0, 33.0, 54.0], [718.0, 820.0, 40.0, 62.0], [680.0, 774.0, 43.0, 51.0], [633.0, 739.0, 52.0, 54.0]], "hand_fit": {"chamfer0": 0.509918764088596, "chamfer": 0.5035614795022954, "iou0": 0.8744636432867738}}, "13,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.06, 0.0, 0.0, -0.5920000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, -0.12, 0.008, 0.014999999999999986, -0.20199999999999999, 0.12, 0.24, 0.0, -0.12, 0.0, 0.12, 0.03, 0.0, 0.30400000000000005, 0.0, 0.5890000000000001, 0.6859999999999999, -0.57, 0.0, 0.0, 0.0, 0.06, 0.105, 0.0, 0.03, -0.11999999999999998, 0.045, 0.0, 0.0, 0.0, 0.09, 0.24, 0.0, -0.03699999999999999, 0.22499999999999998, 0.0, 0.0, 0.0, 0.0, 0.1235, 0.0075, -0.086, -0.08149999999999999, 0.11599999999999999, 0.04099999999999998, -0.15749999999999997, 0.0935, -0.06, -0.006999999999999999, 0.006999999999999992, 0.0, 0.206, -0.07449999999999998, 0.06, 0.14999999999999997, -0.045, -0.075, -0.040999999999999995, 0.07400000000000001, 0.055999999999999994, -0.014499999999999999, 0.0, -0.011, -0.12, -0.0525, 1.0, 1.0, 1.1239999999999999, 1.0199999999999998, 0.03, 0.074], "iou0": 0.8855648330718999, "iou": 0.8868494735770064, "res": [[650.0, 728.0, 36.0, 42.0], [743.0, 796.0, 22.0, 31.0], [763.0, 871.0, 46.0, 62.0], [712.0, 833.0, 68.0, 53.0], [668.0, 763.0, 52.0, 43.0]], "hand_fit": {"chamfer0": 0.5759448978154451, "chamfer": 0.5759448978154451, "iou0": 0.8868494735770064}}, "13,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.105, 0.0, 0.06, 0.351, -0.008, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.18, 0.0, 0.24, 0.06, 0.0, 0.0, 0.24, 0.0, -0.12, 0.0, -0.06, -0.12, 0.62, 0.145, 0.42500000000000004, 0.21999999999999995, -0.5500000000000002, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.06, -0.08199999999999999, 0.0, 0.0, 0.06, 0.0, 0.075, 0.285, 0.0, 0.0, 0.015, -0.015, 0.0, -0.006, -0.006, 0.16499999999999998, 0.0, 0.0, -0.0075, 0.0185, 0.0, -0.011, 0.022, 0.0075, 0.03, 0.0, 0.0, 0.0375, 0.045, 0.0, 0.06, -0.03, -0.11199999999999999, -0.022999999999999993, -0.0975, 0.0485, -0.09249999999999994, 0.0, 0.0, -0.011, -0.07399999999999998, 1.0, 0.34, 1.0, 1.0, 0.06, 0.0], "iou0": 0.8899734900824605, "iou": 0.8886909848319628, "res": [[688.0, 751.0, 34.0, 29.0], [643.0, 730.0, 31.0, 56.0], [714.0, 813.0, 52.0, 47.0], [713.0, 789.0, 46.0, 30.0], [682.0, 782.0, 48.0, 52.0]], "hand_fit": {"chamfer0": 0.6169455266251777, "chamfer": 0.5940830272488767, "iou0": 0.8886761174514526}}, "13,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.06, -0.015, 0.06, -0.32199999999999995, -0.015, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.33699999999999997, 0.0, 0.105, -0.15599999999999994, 0.097, 0.12, 0.0, -0.06, 0.0, -0.12, 0.0, -0.05, 0.51, -0.12000000000000006, 0.8500000000000001, 0.597, -0.37, 0.0, 0.0, 0.0, 0.03, -0.075, 0.0, 0.053, -0.23199999999999998, 0.0, 0.0, 0.0, 0.0, 0.12, 0.24, 0.0, 0.0, 0.14199999999999996, 0.015, 0.0, 0.0, 0.0, -0.037, 0.0, -0.03, -0.0075, 0.03, 0.0, -0.09, 0.0, 0.0, 0.23249999999999998, 0.0, 0.06, 0.15750000000000003, 0.045, 0.0525, 0.26199999999999996, -0.015, 0.0, -0.15, -0.0225, 0.06, 0.01150000000000002, 0.0, -0.040999999999999995, 0.0185, -0.1275, 0.5800000000000001, 1.02, 1.0, 1.0, -0.044, -0.22399999999999998], "iou0": 0.8799293023161043, "iou": 0.8790808521090412, "res": [[677.0, 754.0, 44.0, 33.0], [753.0, 843.0, 39.0, 51.0], [720.0, 850.0, 71.0, 59.0], [691.0, 790.0, 61.0, 38.0], [704.0, 792.0, 49.0, 39.0]], "hand_fit": {"chamfer0": 0.6995558338106982, "chamfer": 0.4988239524539942, "iou0": 0.8733692543309235}}, "13,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.068, 0.0, 0.015, 0.44799999999999995, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.11199999999999999, 0.0, -0.375, -0.22499999999999998, 0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.185, 0.64, -0.025000000000000043, 0.9450000000000001, 0.15900000000000014, 0.17500000000000002, 0.0, -0.06, 0.0, 0.06, -0.12, 0.0, -0.06, -0.008000000000000007, 0.0, 0.0, 0.0, 0.0, 0.12, -0.105, 0.0, 0.06, -0.015, 0.12, 0.0, 0.0, 0.003, -0.006999999999999999, 0.0, 0.0, 0.0895, 0.0, 0.0185, -0.113, -0.10799999999999998, -0.082, -0.07799999999999999, 0.06, 0.124, 0.15349999999999997, -0.045, 0.0075, 0.04799999999999999, 0.0, 0.05199999999999999, -0.015, -0.0895, 0.0335, 0.1275, 0.045, 0.03, -0.0525, -0.06, 0.792, 1.2, 1.0, 1.0, 0.46399999999999997, 0.194], "iou0": 0.887867842567038, "iou": 0.8895165779213384, "res": [[728.0, 820.0, 44.0, 48.0], [667.0, 737.0, 39.0, 31.0], [725.0, 829.0, 52.0, 52.0], [743.0, 830.0, 55.0, 32.0], [734.0, 836.0, 51.0, 51.0]], "hand_fit": {"chamfer0": 0.8091685945998502, "chamfer": 0.4944915464248541, "iou0": 0.8769699411157257}}, "14,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.015, 0.0, -0.022, -0.036, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, -0.27, 0.0, 0.0, -0.097, 0.0, -0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.125, -0.008, -0.225, -0.09500000000000006, 0.028000000000000025, 0.0, -0.015, 0.0, 0.06, 0.015, 0.0, 0.044999999999999984, -0.1459999999999999, 0.08199999999999999, 0.0, 0.0, 0.0, 0.06, -0.075, 0.0, 0.0, 0.03, -0.03, 0.0, 0.0, 0.0, 0.16849999999999998, -0.11249999999999999, 0.068, 0.0225, -0.0675, 0.12, -0.176, 0.213, 0.03, 0.0, 0.061499999999999964, 0.11199999999999999, 0.06749999999999998, -0.07849999999999999, 0.016, 0.044, 0.0075, -0.14549999999999996, 0.0075, -0.03, 0.040999999999999995, 0.09, 0.142, 0.026, -0.10849999999999999, -0.15, 1.0, 0.28, 0.88, 1.0, 0.24, 0.044], "iou0": 0.8740287866168298, "iou": 0.8733696412971111, "res": [[740.0, 837.0, 34.0, 63.0], [611.0, 696.0, 36.0, 49.0], [693.0, 798.0, 52.0, 53.0], [671.0, 769.0, 47.0, 51.0], [664.0, 764.0, 51.0, 49.0]], "hand_fit": {"chamfer0": 0.8180953318845724, "chamfer": 0.8128704131753379, "iou0": 0.8695815916716091}}, "14,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.09, 0.0, 0.06, 0.12, 0.0, 0.12, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, 0.0, -0.075, -0.27, 0.0, 0.06, 0.06, 0.0, 0.0, 0.0, 0.0, -0.07500000000000001, 0.9169999999999999, 0.0, -0.17000000000000004, 0.55, 0.17500000000000007, 0.0, 0.015, 0.0, 0.09, -0.15, -0.03, 0.045, 0.045, -0.03, 0.0, 0.008, 0.0, 0.06, -0.075, 0.0, 0.06, -0.044999999999999984, 0.0, 0.0, -0.012, 0.0, -0.07499999999999996, -0.0185, 0.11599999999999999, -0.015, 0.21, 0.13499999999999998, 0.09, -0.15799999999999997, 0.014499999999999999, -0.074, -0.0075, 0.10099999999999999, 0.18, -0.06, 0.015, 0.071, 0.0, 0.008, 0.0005000000000000074, -0.06399999999999999, 0.0525, 0.092, 0.0035000000000000135, 0.0, -0.135, -0.0525, 1.0, 1.0, 1.0, 1.0, 0.0, 0.24], "iou0": 0.8902591746489922, "iou": 0.8890637981163207, "res": [[707.0, 797.0, 43.0, 47.0], [672.0, 759.0, 48.0, 39.0], [760.0, 865.0, 59.0, 46.0], [754.0, 843.0, 40.0, 49.0], [702.0, 775.0, 34.0, 39.0]], "hand_fit": {"chamfer0": 0.5796517675034054, "chamfer": 0.47209895610317965, "iou0": 0.8888180794795755}}, "14,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.14300000000000002, 0.0, 0.0, 0.18, 0.06, 0.24, -0.12, 0.18, 0.0, -0.36, 0.12, 0.06, -0.052, -0.12, -0.06599999999999998, 0.0, -0.044, 0.0, 0.0, 0.03, 0.03, 0.0, 0.03, 0.0, 0.22500000000000003, 0.0, -0.6770000000000002, -0.535, -0.05, 0.0, 0.0, 0.0, 0.008, -0.09, 0.0, 0.07399999999999998, -0.532, 0.037, 0.0, 0.0, 0.0, 0.015, -0.12, 0.0, 0.105, -0.052, 0.135, -0.006, -0.006, 0.006, 0.206, 5.551115123125783e-17, 0.057999999999999996, 0.09599999999999997, -0.004, 0.0485, 0.245, 0.08999999999999998, -0.10049999999999998, 0.007000000000000006, 0.14249999999999996, 0.0975, 0.271, -0.101, 0.105, 0.06, 0.006999999999999999, -0.14949999999999997, -0.064, 0.045, 0.03, 0.06, 0.0935, -0.040499999999999994, 0.03, -0.16799999999999998, 0.32600000000000007, 1.0, 1.016, 1.0, -0.016, 0.088], "iou0": 0.8803785406626673, "iou": 0.8795249613039434, "res": [[618.0, 697.0, 46.0, 33.0], [623.0, 704.0, 38.0, 43.0], [720.0, 846.0, 52.0, 74.0], [658.0, 735.0, 32.0, 45.0], [570.0, 642.0, 36.0, 36.0]], "hand_fit": {"chamfer0": 0.9731854838656385, "chamfer": 0.9364808305743887, "iou0": 0.8795995234203072}}, "14,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.135, 0.0, -0.03, 0.375, 0.0, -0.12, 0.0, 0.18, 0.24, 0.0, -0.06, -0.42, 0.052, 0.0, -0.015, 0.0, 0.11199999999999999, -0.06, -0.12, 0.0, 0.18, 0.0, 0.0, 0.065, 0.4, -0.025, -0.7180000000000001, 0.20999999999999996, 0.58, 0.0, 0.0, 0.0, 0.11199999999999999, -0.05199999999999999, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.03, 0.021999999999999992, -0.022, 0.0, 0.0, 0.0, 0.0, 0.075, 0.072, -0.11249999999999999, 0.0, 0.0, 0.0075, -0.022, 0.06999999999999998, 0.195, 0.13799999999999998, 0.0, 0.0, 0.176, -0.03, 0.006999999999999999, 0.18, 0.0525, 0.0, -0.075, 0.011, 0.055499999999999994, -0.021999999999999992, 0.006999999999999999, 0.026, -0.09, -0.12, 1.104, 1.0, 1.0, 1.0, 0.0, 0.104], "iou0": 0.8701062122216457, "iou": 0.86989402855308, "res": [[620.0, 700.0, 38.0, 42.0], [662.0, 759.0, 41.0, 56.0], [780.0, 900.0, 54.0, 66.0], [719.0, 827.0, 56.0, 52.0], [621.0, 719.0, 49.0, 49.0]], "hand_fit": {"chamfer0": 0.5876233319785256, "chamfer": 0.5876233319785256, "iou0": 0.86989402855308}}, "14,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.06, 0.345, 0.0, 0.36, -0.06, 0.24, 0.0, -0.18, 0.12, 0.0, 0.18, 0.0, 0.12, -0.113, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.19000000000000003, -0.020000000000000046, 0.05, -0.8119999999999999, -0.18000000000000016, 0.3949999999999999, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.03, -0.352, -0.015, 0.0, 0.06, 0.0, 0.06, -0.09, 0.0, 0.12, 0.0, -0.32999999999999996, 0.0, 0.0, 0.0, 0.285, 0.086, 0.0, 0.0, -0.037000000000000005, 0.015, -0.0445, 0.0, 0.09, -0.015, 0.0, 0.0, 0.1025, -0.045, -0.07500000000000001, 0.34249999999999997, 0.026, -0.2585, -0.011, 0.0, 0.045, -0.011, -0.015, -0.03, 0.015, -0.16849999999999998, 0.88, 0.34, 1.06, 1.0, 0.0, 0.18], "iou0": 0.8594388721480805, "iou": 0.8613677321914837, "res": [[616.0, 701.0, 44.0, 41.0], [636.0, 725.0, 48.0, 41.0], [727.0, 881.0, 69.0, 85.0], [674.0, 781.0, 40.0, 67.0], [566.0, 655.0, 37.0, 52.0]], "hand_fit": {"chamfer0": 1.3764283024221275, "chamfer": 1.310542872933993, "iou0": 0.8605675628274311}}, "14,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.023, 0.0, -0.008, 0.569, 0.0, 0.0, -0.06, 0.24, 0.06, -0.12, 0.0, -0.12, 0.735, 0.0, 0.0, 0.12, 0.015, 0.0, 0.0, -0.03, 0.0, -0.12, 0.0, 0.07, -0.345, 0.020000000000000004, -0.385, 0.42500000000000004, -0.255, 0.0, 0.0, 0.0, 0.06, 0.06, 0.0, 0.0, -0.097, 0.0, 0.0, 0.03, 0.0, 0.0, 0.12, 0.0, 0.0, 0.187, -0.15, -0.006, -0.006, 0.006, 0.071, 0.0, 0.0075, 0.045, 0.12749999999999995, -0.0225, 0.059500000000000004, 0.03, 0.21699999999999997, 0.0, 0.0, -0.12, 0.0785, -0.14549999999999996, -0.09, 0.18, 0.015, -0.135, 0.0185, -0.086, 0.055999999999999994, -0.14599999999999996, 0.12, 0.135, 0.0, -0.135, 0.8360000000000001, 1.0, 1.0, 1.06, -0.088, -0.24], "iou0": 0.8744170612817973, "iou": 0.8717878112463989, "res": [[567.0, 644.0, 31.0, 46.0], [655.0, 745.0, 44.0, 46.0], [767.0, 905.0, 57.0, 81.0], [688.0, 764.0, 38.0, 38.0], [573.0, 663.0, 44.0, 46.0]], "hand_fit": {"chamfer0": 1.599714613641908, "chamfer": 1.5819360546327703, "iou0": 0.8703873878836468}}, "14,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.0, 0.12, 0.09, 0.06, 0.0, 0.5700000000000001, -0.06, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08199999999999999, 0.0, 0.0, 0.014999999999999902, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03800000000000002, -0.041999999999999885, 0.0, -0.3510000000000001, 0.439, 0.178, 0.0, -0.03, 0.0, 0.06, -0.075, 0.0, 0.045, 0.142, 0.03, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.277, -0.03, 0.0, -0.003, 0.0, -0.075, 0.0, -0.015, 0.135, 0.0, 0.0, 0.086, 0.055999999999999994, -0.04749999999999996, 0.044, 0.006999999999999992, -0.03699999999999999, 0.040499999999999994, 0.03, 0.0975, 0.06, 0.08600000000000001, 0.12, -0.09699999999999998, -0.061000000000000006, -0.022000000000000006, 0.1155, 0.004, -0.0225, -0.0225, -0.11199999999999999, 1.0, 1.0, 1.0, 1.0, 0.358, 0.0], "iou0": 0.8661831347401469, "iou": 0.8641881254390003, "res": [[688.0, 773.0, 32.0, 53.0], [658.0, 748.0, 58.0, 32.0], [757.0, 897.0, 60.0, 80.0], [774.0, 905.0, 55.0, 76.0], [700.0, 805.0, 53.0, 52.0]], "hand_fit": {"chamfer0": 0.6654685383520313, "chamfer": 0.6103261233658477, "iou0": 0.864665514318285}}, "15,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.31499999999999995, 0.0, -0.038, 0.03, 0.11199999999999999, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.09, 0.0, -0.352, 0.045, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.19699999999999998, 0.03999999999999998, -0.21500000000000002, 0.0, 0.0, 0.0, 0.008, 0.06, 0.0, 0.03, -0.09, 0.11199999999999999, 0.0, 0.03, 0.0, 0.12, -0.15699999999999997, -0.015, 0.0, 0.021999999999999992, -0.052000000000000005, 0.0, 0.0, 0.006, -0.22449999999999998, 0.055999999999999994, 0.026, -0.0935, 0.0, 0.026, 0.0, 0.0, 0.12, -0.0075, 0.0, 0.09749999999999998, 0.071, -0.13149999999999998, -0.03, -0.06, -0.0225, -0.067, 0.10500000000000001, -0.1205, 0.0225, 0.1475, 0.0, -0.03, -0.118, -0.026, 1.0, 0.52, 1.17, 1.0, 0.0, 0.0], "iou0": 0.88271974479725, "iou": 0.8815695644883966, "res": [[619.0, 692.0, 41.0, 32.0], [664.0, 767.0, 49.0, 54.0], [769.0, 874.0, 46.0, 59.0], [730.0, 808.0, 41.0, 37.0], [649.0, 742.0, 43.0, 50.0]], "hand_fit": {"chamfer0": 0.48135622637654374, "chamfer": 0.48135622637654374, "iou0": 0.8815695644883966}}, "15,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.03, 0.0, -0.008, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.0, 0.12, -0.149, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.22999999999999998, 0.06, -0.322, -0.10800000000000004, -0.12, 0.0, 0.0, 0.0, 0.12, -0.015, 0.0, -0.008, 0.03, 0.06, 0.0, 0.015, 0.0, 0.12, -0.12, 0.0, 0.0, -0.21, 0.0, 0.0, 0.0, 0.0, -0.09249999999999997, 0.018, -0.03, 0.12, 0.0, 0.052, -0.206, 0.0, 0.026, -0.16099999999999998, 0.040999999999999995, 0.03, 0.22849999999999998, -0.040999999999999995, -0.022, -0.019, 0.03, 0.0, 0.011, -0.105, -0.006999999999999999, 0.09499999999999999, 0.015, -0.20249999999999999, -0.09199999999999997, -0.03, 0.792, 0.52, 0.88, 0.91, 0.0, 0.06], "iou0": 0.8904173238684688, "iou": 0.8898735807020988, "res": [[630.0, 705.0, 46.0, 29.0], [659.0, 747.0, 49.0, 39.0], [774.0, 871.0, 45.0, 52.0], [723.0, 809.0, 52.0, 34.0], [642.0, 715.0, 29.0, 44.0]], "hand_fit": {"chamfer0": 0.5020333519640856, "chamfer": 0.5020333519640856, "iou0": 0.8898735807020988}}, "15,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.06, 0.0, 0.12, 0.255, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.105, 0.12, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.24, -0.1, -0.3360000000000001, 0.10399999999999998, 0.36500000000000005, 0.0, -0.03, -0.008, 0.03, -0.03, 0.0, 0.045, -0.03, 0.10499999999999998, 0.0, 0.0, 0.0, 0.06, -0.127, 0.0, -0.03, -0.3819999999999999, -0.09, 0.0, -0.006, 0.012, -0.13499999999999995, 0.03699999999999999, -0.16099999999999998, -0.06, 0.07500000000000001, 0.018499999999999985, -0.13449999999999998, -0.06, 0.05600000000000001, -0.10849999999999999, 0.0, 0.11599999999999999, 0.11549999999999999, -0.045, 0.052, -0.004, -0.004, -0.034, 0.03, -0.0675, -0.022, 0.237, 0.055999999999999994, -0.026, -0.135, 0.06, 1.0, 0.776, 1.02, 0.88, 0.09, 0.044], "iou0": 0.8858006070133184, "iou": 0.8855242599616766, "res": [[634.0, 708.0, 42.0, 32.0], [680.0, 764.0, 42.0, 42.0], [763.0, 868.0, 49.0, 56.0], [702.0, 791.0, 44.0, 45.0], [639.0, 722.0, 44.0, 39.0]], "hand_fit": {"chamfer0": 0.46818132345370866, "chamfer": 0.42428955573289207, "iou0": 0.8862605912542296}}, "15,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.06, 0.0, 0.36, 0.052, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.060000000000000005, 0.0, -0.037, 0.0, -0.022, 0.03, 0.0, 0.0, -0.008, 0.008, 0.03, 0.06, 0.15, -0.020000000000000004, -0.31000000000000005, -0.025000000000000057, 0.12200000000000003, 0.0, -0.015, 0.0, 0.016, -0.128, 0.0, 0.09, -0.32199999999999995, 0.075, 0.0, 0.0, 0.0, 0.12, 0.135, 0.0, -0.06, -0.015000000000000013, 0.263, 0.0, 0.0, 0.0, -0.16099999999999998, -0.075, 0.0, -0.0335, 0.02249999999999998, 0.0, -0.14099999999999996, -0.006999999999999999, 0.018499999999999996, -0.055999999999999994, 0.040999999999999995, 0.075, 0.09, -0.262, 0.017, 0.22999999999999998, 0.00599999999999995, -0.19699999999999995, 0.026, 0.015, 0.0375, 0.10099999999999998, -0.045, 0.006999999999999992, -0.0975, -0.015, 1.0, 0.4, 0.8820000000000001, 0.79, 0.0, 0.118], "iou0": 0.8828473931488574, "iou": 0.880695071757834, "res": [[592.0, 661.0, 37.0, 32.0], [678.0, 781.0, 56.0, 47.0], [753.0, 848.0, 38.0, 57.0], [694.0, 780.0, 48.0, 38.0], [636.0, 724.0, 37.0, 51.0]], "hand_fit": {"chamfer0": 0.42106917999219595, "chamfer": 0.42106917999219595, "iou0": 0.880695071757834}}, "15,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.18, 0.0, 0.12, 0.21699999999999997, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, -0.15, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025, 0.145, 0.015, -0.245, -2.0816681711721685e-17, 0.09, 0.0, 0.0, 0.0, 0.015, -0.16499999999999998, 0.0, -0.015, -0.24, 0.0, 0.0, 0.045, 0.0, 0.023, 0.06, 0.0, -0.11199999999999999, -0.27699999999999997, 0.008, -0.006, 0.0, 0.0, -0.16849999999999998, 0.0935, -0.08199999999999999, -0.045, -0.10449999999999998, 0.022000000000000006, -0.24699999999999994, -0.105, -0.04449999999999998, -0.131, -0.007000000000000006, 0.015, 0.17799999999999994, -0.16799999999999998, 0.03, 0.42, 0.014499999999999999, -0.086, 0.018499999999999985, -0.026, 0.0075, 0.11249999999999999, 0.0, -0.06, -0.07449999999999996, 0.0, 1.0, 0.386, 1.12, 1.0, 0.194, 0.54], "iou0": 0.8895705902428247, "iou": 0.8875148430141889, "res": [[605.0, 689.0, 47.0, 37.0], [657.0, 735.0, 43.0, 35.0], [775.0, 872.0, 56.0, 41.0], [707.0, 787.0, 44.0, 36.0], [640.0, 718.0, 38.0, 40.0]], "hand_fit": {"chamfer0": 0.541429306393826, "chamfer": 0.47756070114958316, "iou0": 0.8879911194313829}}, "15,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.105, -0.015, 0.12, 0.20199999999999999, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.023, 0.0, -0.045, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07500000000000001, 0.28, -0.025, -0.448, -0.14500000000000002, 0.015000000000000006, 0.0, 0.0, 0.0, 0.12, -0.08199999999999999, 0.0, 0.03, -0.105, 0.015, 0.0, 0.0, 0.0, 0.03, 0.06, 0.03, 0.0, -0.10500000000000001, -0.03, -0.0015, -0.006, 0.0, -0.1425, 0.0185, -0.040999999999999995, -0.021999999999999992, 0.135, 0.0, -0.08349999999999996, -0.0455, 0.0, -0.10049999999999998, 0.0, 0.097, 0.1345, -0.03699999999999999, -0.006999999999999992, 0.19499999999999995, 0.048, -0.21699999999999997, -0.0375, -0.01799999999999999, 0.0, -0.10099999999999999, 0.09299999999999999, 0.0, -0.1235, -0.03, 0.44600000000000006, 1.0, 1.02, 0.7, -0.06, 0.0], "iou0": 0.8815902466851563, "iou": 0.8799650831233542, "res": [[606.0, 668.0, 30.0, 32.0], [694.0, 809.0, 65.0, 50.0], [789.0, 899.0, 49.0, 61.0], [723.0, 816.0, 44.0, 49.0], [636.0, 720.0, 36.0, 48.0]], "hand_fit": {"chamfer0": 0.48489751624100047, "chamfer": 0.453433350841315, "iou0": 0.8798385928378994}}, "15,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.135, 0.0, 0.09, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, -0.14199999999999996, 0.015, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, -0.015, 0.05, -0.12, 0.0, -0.11800000000000002, 0.125, -0.142, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.24, -0.105, 0.06, 0.0, 0.06, 0.0, 0.12, -0.045, 0.0, 0.0, 0.202, -0.075, 0.0, 0.0, 0.0, -0.0375, 0.033, -0.12, -0.03, 0.006999999999999999, 0.0, 1.3877787807814457e-17, 0.0, 0.0, -0.127, 0.0005000000000000074, 0.08549999999999999, 0.07549999999999998, -0.07799999999999999, 0.0, 0.10849999999999999, 0.0, 0.045, -0.015, -0.03, 0.1425, -0.08199999999999999, 0.0, -0.03, -0.08249999999999999, 0.0, 0.776, 0.52, 1.0, 1.14, 0.136, -0.194], "iou0": 0.8841385831577601, "iou": 0.8836985958371717, "res": [[619.0, 688.0, 37.0, 32.0], [721.0, 829.0, 58.0, 50.0], [807.0, 927.0, 64.0, 56.0], [763.0, 855.0, 50.0, 42.0], [638.0, 718.0, 37.0, 43.0]], "hand_fit": {"chamfer0": 0.4729740127544669, "chamfer": 0.4713844292722225, "iou0": 0.8836985958371717}}, "15,7": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.03, 0.3, 0.06, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.015000000000000013, 0.0, -0.375, -0.052, 0.03, 0.03, 0.0, 0.0, 0.0, -0.03, -0.03, 0.05999999999999999, 0.015, -0.025, -0.18900000000000003, 0.06499999999999997, -0.08999999999999997, 0.0, 0.0, 0.0, 0.06, -0.06, -0.015, -0.015, -0.10500000000000001, 0.0, 0.0, 0.015, 0.0, 0.06, 0.023, 0.0, 0.015, 0.0, -0.06, 0.0, -0.006, 0.0, -0.176, 0.0075, -0.075, -0.0525, 0.07849999999999999, 0.11999999999999995, -0.11250000000000002, 0.0, -0.02949999999999999, 0.0, -0.045, 0.075, 0.146, 0.03, 0.0, 0.12, 0.0485, -0.026, -0.0375, 0.0034999999999999996, 0.06, 0.0375, 0.13449999999999995, 0.0075, -0.026, -0.0075, 1.0, 1.0, 0.94, 1.1800000000000002, 0.0, 0.074], "iou0": 0.8803421614340928, "iou": 0.8799523113578589, "res": [[614.0, 686.0, 36.0, 36.0], [710.0, 837.0, 69.0, 58.0], [799.0, 916.0, 63.0, 54.0], [751.0, 830.0, 41.0, 38.0], [649.0, 731.0, 45.0, 37.0]], "hand_fit": {"chamfer0": 0.5021763916182407, "chamfer": 0.4666404220231639, "iou0": 0.8796497966694149}}, "15,8": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.22499999999999998, 0.0, 0.08199999999999999, 0.16399999999999998, 0.12, 0.0, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, -0.255, 0.0, -0.352, 0.008000000000000007, -0.12, 0.0, 0.0, 0.0, 0.015, 0.0, 0.0, 0.05, -0.065, 0.0, -0.12300000000000003, 0.09399999999999997, -0.065, 0.0, -0.015, 0.0, 0.0, -0.10399999999999998, 0.0, 0.127, -0.26199999999999996, -0.008, 0.0, 0.0, 0.0, 0.06, -0.18, 0.06, 0.105, 0.03, -0.157, 0.0, -0.012, 0.0, -0.12749999999999992, 0.052, -0.10849999999999999, -0.075, 0.12, 0.0905, 4.163336342344337e-17, -0.11599999999999999, 0.0, -0.08599999999999998, 0.06, 0.09000000000000001, 0.10449999999999998, 0.06, 0.0075, -0.071, 0.007999999999999993, -0.1425, -0.002999999999999989, -0.03, 0.07799999999999999, -0.011, -0.006999999999999999, 0.03, -0.09, -0.0225, 0.8200000000000001, 0.52, 1.0, 1.0, -0.134, 0.0], "iou0": 0.8805070470425933, "iou": 0.8780839072423259, "res": [[617.0, 673.0, 25.0, 31.0], [690.0, 802.0, 59.0, 53.0], [782.0, 901.0, 60.0, 59.0], [733.0, 831.0, 50.0, 48.0], [647.0, 738.0, 41.0, 50.0]], "hand_fit": {"chamfer0": 0.4858162046321894, "chamfer": 0.4269862102148584, "iou0": 0.8789256759417772}}, "16,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.06, 0.0, 0.12, -0.14300000000000002, 0.0, 0.0, -0.06, 0.0, 0.0, 0.12, 0.0, 0.0, 0.03, 0.06, -0.135, -0.412, 0.12, -0.12, 0.0, 0.0, 0.12, 0.0, 0.0, -0.08999999999999998, 0.24, 0.0, 0.7000000000000001, 0.20499999999999996, -0.375, 0.0, 0.0, 0.0, 0.06, 0.052, -0.03, -0.028999999999999998, 0.036000000000000004, 0.18, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.06, -0.142, 0.0, 0.0, 0.0, 0.0, 0.08199999999999998, 0.06, 0.015, 0.03, 0.0, 0.0895, 0.22049999999999997, -0.0445, -0.06, -0.007000000000000006, -0.0185, 0.09, 0.07849999999999999, 0.105, -0.03699999999999999, 0.03, 0.0, 0.006999999999999999, -0.038, -0.10799999999999998, 0.06, 0.1425, 0.0, 0.13499999999999998, -0.004, -0.12, 1.0, 1.0, 1.0639999999999998, 0.88, 0.15999999999999992, 0.26799999999999996], "iou0": 0.9012818970373744, "iou": 0.8956899869540846, "res": [[832.0, 928.0, 33.0, 63.0], [726.0, 803.0, 41.0, 36.0], [711.0, 777.0, 33.0, 33.0], [722.0, 795.0, 40.0, 33.0], [775.0, 878.0, 46.0, 57.0]], "hand_fit": {"chamfer0": 0.8495017127073561, "chamfer": 0.8006455213645944, "iou0": 0.8959901698085027}}, "15,9": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.36, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.18, -0.09, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.07500000000000001, 0.322, -0.025, -0.3970000000000001, -0.08300000000000007, 0.16700000000000004, 0.0, 0.0, 0.0, 0.11199999999999999, 0.05199999999999999, -0.008, -0.068, 0.20799999999999996, 0.09, 0.0, 0.03, 0.0, 0.12, -0.03, 0.0, 0.03, 0.015, 0.03, 0.0, 0.0, 0.0, -0.21699999999999997, 0.0185, 0.008000000000000007, -0.0005000000000000004, 0.0, 0.09, -0.2635, -0.015, 0.006999999999999999, -0.043999999999999984, 0.0, 0.172, 0.15, -0.068, 0.0525, 0.043999999999999984, 0.0, -0.10799999999999998, 0.0, -0.12349999999999997, 0.011500000000000007, 0.067, 0.0, 0.055999999999999994, -0.045, 0.12, 0.7, 0.35600000000000004, 1.0, 0.79, 0.0, 0.03], "iou0": 0.878828592400051, "iou": 0.8730860366445725, "res": [[602.0, 674.0, 37.0, 35.0], [675.0, 801.0, 69.0, 57.0], [777.0, 889.0, 41.0, 71.0], [738.0, 810.0, 30.0, 42.0], [647.0, 741.0, 50.0, 44.0]], "hand_fit": {"chamfer0": 0.5212118415352135, "chamfer": 0.44660012443390995, "iou0": 0.8735646970991094}}, "16,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.06, -0.06, 0.0, 0.3, -0.06, 0.0, -0.06, 0.0, 0.3, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.136, 0.18, 0.0, 0.015, 0.008, -0.06, -0.12, -0.03, 0.0, -0.495, -0.6289999999999999, 0.0, 0.152, -0.9700000000000002, 0.025000000000000015, 0.0, 0.0, 0.0, 0.12, 0.135, 0.0, -0.067, -0.015, 0.11199999999999999, 0.0, 0.03, 0.0, 0.105, 0.09, 0.0, 0.09, -0.16499999999999998, 0.0, 0.0, -0.006, -0.006, 0.0, -0.11249999999999999, -0.15, -0.22999999999999998, -0.005999999999999978, -0.08149999999999998, -0.018, 0.08199999999999999, -0.15, -0.006499999999999999, 0.07599999999999998, 0.127, -0.0225, 0.015, 0.0005000000000000074, 0.098, 0.0, 0.024999999999999988, -0.14250000000000002, -0.105, 0.0, 0.0, -0.1535, -0.1349999999999999, -0.075, -0.0375, 1.0, 0.4, 1.0, 1.0, 0.011999999999999997, 0.22399999999999998], "iou0": 0.8871707759863277, "iou": 0.8852256722244143, "res": [[738.0, 832.0, 30.0, 64.0], [686.0, 744.0, 23.0, 35.0], [715.0, 820.0, 54.0, 51.0], [707.0, 799.0, 47.0, 45.0], [637.0, 727.0, 49.0, 41.0]], "hand_fit": {"chamfer0": 0.5668252457598999, "chamfer": 0.5668252457598999, "iou0": 0.8852256722244143}}, "16,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.0, 0.0, 0.105, 0.397, 0.0, -0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.42, -0.09, 0.15699999999999997, -0.12, 0.0, 0.0, 0.15, 0.0, -0.03, -0.10999999999999999, -0.03, 0.0, 0.6890000000000001, -0.48000000000000004, 0.156, 0.0, -0.06, 0.0, 0.06, -0.18, 0.0, 0.0, -0.045, -0.052, 0.0, 0.008, 0.0, 0.12, 0.12, 0.0, -0.08199999999999999, 0.089, 0.12, 0.0, 0.0, 0.006, -0.14949999999999997, 0.16049999999999998, -0.0675, 0.011, 0.0, 0.20199999999999999, -0.1835, 0.0, -0.034, 0.026, 0.08199999999999999, 0.0, 0.0, 0.18, 0.0075, -0.03, -0.0225, 0.0075, -0.12, -0.03699999999999999, 0.011, 0.1015, 0.08249999999999999, 0.10499999999999998, 0.0, -0.146, 0.43000000000000005, 1.0799999999999998, 0.9560000000000001, 1.0, -0.12, 0.22199999999999998], "iou0": 0.8829552202718884, "iou": 0.8797107199969565, "res": [[822.0, 931.0, 34.0, 75.0], [754.0, 853.0, 36.0, 63.0], [662.0, 773.0, 43.0, 68.0], [765.0, 858.0, 54.0, 39.0], [738.0, 818.0, 27.0, 53.0]], "hand_fit": {"chamfer0": 0.9704907034754113, "chamfer": 0.8464124750927763, "iou0": 0.8800184831880922}}, "16,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.12, 0.03, 0.0, 0.135, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.12, 0.292, 0.0, 0.12, 0.09599999999999997, 0.0, 0.008, 0.0, -0.195, 0.12, 0.15, 0.24, -0.4, 0.30000000000000004, 0.385, -0.9899999999999999, 0.1, 0.5750000000000001, 0.0, 0.0, 0.0, 0.12, -0.105, 0.0, 0.06, -0.172, 0.015, 0.0, 0.06, 0.0, 0.06, 0.18, 0.0, 0.06, -0.247, 0.0, 0.0, 0.0, 0.0, 0.142, -0.09, -0.006499999999999999, 0.146, -0.022, 0.03, 0.2735, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16099999999999998, -0.0059999999999999845, -0.0225, 0.346, -0.0675, -0.135, -0.10500000000000001, -0.07799999999999999, 0.03, 0.112, -0.0185, 0.015, -0.0375, 0.11599999999999999, 0.28, 1.0, 1.0, 1.0, -0.12, 0.12], "iou0": 0.8708872593921819, "iou": 0.8604577782940055, "res": [[564.0, 617.0, 18.0, 35.0], [601.0, 686.0, 41.0, 44.0], [737.0, 871.0, 81.0, 53.0], [703.0, 828.0, 65.0, 60.0], [614.0, 707.0, 41.0, 52.0]], "hand_fit": {"chamfer0": 2.812027678103078, "chamfer": 2.754823006208836, "iou0": 0.8607536036940777}}, "16,4": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.015, 0.0, 0.0, -0.075, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.044999999999999984, 0.0, -0.06, -0.09, -0.12, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.4, 0.509, 0.28, -1.0690000000000002, 0.35000000000000003, 0.7800000000000001, 0.0, -0.068, 0.0, 0.12, 0.075, 0.06, 0.06, -0.135, 0.127, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.12, 0.15, -0.12, 0.0, 0.0, 0.0, 0.09699999999999999, 0.24, 0.0, 0.05199999999999999, 0.0, 0.15, 0.07450000000000001, 0.09, -0.08149999999999999, 0.0, 0.03949999999999998, 0.0, 0.2324999999999999, -0.1305, -0.0475, 0.25399999999999995, 0.054999999999999966, -0.09599999999999997, -0.09, -0.045, -0.0335, 0.0005000000000000074, -0.03, -0.10099999999999999, 0.10849999999999999, 0.105, 1.0, 1.0, 0.76, 1.0, 0.074, 0.09], "iou0": 0.8740971297516322, "iou": 0.8663549624878794, "res": [[533.0, 563.0, 15.0, 15.0], [588.0, 670.0, 38.0, 44.0], [737.0, 863.0, 60.0, 66.0], [710.0, 846.0, 59.0, 77.0], [634.0, 736.0, 47.0, 55.0]], "hand_fit": {"chamfer0": 3.366880889077417, "chamfer": 3.073982711014519, "iou0": 0.8663549624878794}}, "16,5": {"x": [0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, -0.12, 0.12, -0.353, 0.0, 0.16399999999999998, 0.29899999999999993, 0.06, 0.0, 0.0, 0.27, 0.0, -0.27, 0.06, 0.09, 0.0, -0.09, 0.11199999999999999, -0.03, -0.15, 0.0, 0.262, 0.0, 0.0, 0.12, 0.0, -0.435, 0.375, 0.3, -1.0850000000000002, 0.052000000000000005, 0.9250000000000002, 0.0, 0.0, 0.0, 0.11299999999999999, 0.12, -0.023, -0.239, 0.037, 0.14300000000000002, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.06, 0.172, 0.0, 0.0, 0.0, -0.006, 0.0, -0.06, 0.014499999999999999, 0.071, 0.2749999999999999, 0.0, 0.112, 0.14999999999999997, 0.0, 0.0, 0.0, 0.0, 0.1575, 0.0, 0.045, 0.007000000000000006, 0.018, -0.0375, 0.0485, -0.16099999999999998, -0.045, 0.022000000000000006, -0.14249999999999996, -0.15749999999999997, -0.03899999999999995, 0.06649999999999998, 1.0019999999999998, 1.0000000000000002, 1.0, 1.0, 0.194, 0.0], "iou0": 0.8812251474954091, "iou": 0.876101379958833, "res": [[590.0, 655.0, 25.0, 40.0], [615.0, 688.0, 34.0, 39.0], [758.0, 865.0, 54.0, 53.0], [732.0, 835.0, 42.0, 61.0], [635.0, 717.0, 50.0, 32.0]], "hand_fit": {"chamfer0": 2.7500739987887117, "chamfer": 2.6537729632931515, "iou0": 0.875649863101809}}, "16,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.09, 0.0, 0.03, -0.2849999999999999, 0.03, -0.12, 0.0, 0.12, 0.0, 0.11199999999999999, 0.0, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.06, 0.0, 0.0, -0.18, 0.045, 0.0, 0.4099999999999999, -0.405, 0.07500000000000001, 0.0, 0.0, 0.0, 0.06, 0.03, 0.0, 0.045, -0.015, 0.03, 0.0, 0.0, 0.0, 0.06, 0.12, 0.0, 0.0, 0.052, 0.15, 0.0, 0.0, 0.0, -0.015, -0.12, 6.938893903907228e-18, -0.07799999999999999, 0.0, 0.0, 0.06, 0.191, -0.06, -0.14599999999999996, 0.0, 0.0, 0.07849999999999999, -0.0485, -0.07150000000000001, 0.1275, 0.0225, -0.0935, -0.05650000000000002, 0.0, 0.045, -0.06, 0.0185, 0.0, -0.06, -0.075, 1.0, 0.27, 1.0, 1.2, -0.046, 0.0], "iou0": 0.8972872860875762, "iou": 0.8961942210013302, "res": [[792.0, 862.0, 33.0, 37.0], [651.0, 726.0, 27.0, 48.0], [703.0, 802.0, 46.0, 53.0], [694.0, 785.0, 44.0, 47.0], [670.0, 734.0, 24.0, 40.0]], "hand_fit": {"chamfer0": 0.9685965490366503, "chamfer": 0.9327134727059427, "iou0": 0.8961942210013302}}, "17,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.135, 0.12, 0.0, 0.0, 0.285, 0.03, -0.008, 0.0, 0.0, 0.11199999999999999, 0.09, 0.0, -0.008, -0.14, -0.08199999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, -0.155, 0.0, -0.4099999999999999, 0.038, -0.135, 0.0, -0.06, 0.0, 0.06, 0.06, 0.0, 0.09, -0.045, 0.06, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.15699999999999997, 0.18, 0.0, 0.0, -0.006, 0.0, -0.055999999999999994, 0.0, 0.039999999999999945, 0.11199999999999999, 0.0, 0.0, -0.13449999999999998, 0.040999999999999995, 0.01799999999999999, 0.0, 0.0665, 0.0, 0.009500000000000001, 0.13349999999999995, -0.045, -0.006999999999999999, -0.006999999999999999, 0.09000000000000001, 0.008000000000000007, -0.06, 0.026, -0.20199999999999999, 0.1425, 0.03699999999999999, 0.0, -0.21, 1.0, 1.0, 1.0, 0.776, 0.0, 0.15], "iou0": 0.8976931263106536, "iou": 0.8973593623211695, "res": [[766.0, 863.0, 33.0, 64.0], [748.0, 849.0, 31.0, 70.0], [614.0, 688.0, 27.0, 47.0], [695.0, 764.0, 42.0, 27.0], [695.0, 756.0, 23.0, 38.0]], "hand_fit": {"chamfer0": 0.6651290944365427, "chamfer": 0.6571980598442402, "iou0": 0.8965718780873899}}, "17,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.11199999999999999, 0.0, 0.08199999999999999, 0.015, 0.0, -0.12, 0.12, -0.12, 0.0, 0.24, 0.24, 0.24, 0.495, 0.0, 0.03, 0.105, 0.172, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.023000000000000007, 0.0, -0.41300000000000003, -0.275, -0.05000000000000001, 0.0, 0.015, 0.0, 0.03, -0.127, 0.0, 0.105, -0.12, 0.0, 0.0, 0.0, 0.0, 0.03, 0.12, 0.0, -0.09, 0.03, 0.023, 0.0, 0.0, 0.0, -0.1275, -0.11249999999999999, -0.21749999999999997, 0.0, 0.0, 0.07099999999999998, 0.06049999999999999, 0.03, 0.022, 0.12, 0.0, 0.13449999999999998, 0.075, 0.1835, 0.101, -0.07050000000000001, -0.06299999999999999, 0.24849999999999994, 0.022, 0.045, -0.045, 0.10099999999999999, 0.0, 0.015, 0.040999999999999995, 0.006999999999999999, 1.0, 0.040000000000000036, 1.0, 1.012, 0.013999999999999999, 0.0], "iou0": 0.8408566153696893, "iou": 0.8365914017329361, "res": [[797.0, 948.0, 61.0, 90.0], [763.0, 896.0, 60.0, 73.0], [654.0, 754.0, 53.0, 47.0], [704.0, 862.0, 75.0, 83.0], [755.0, 910.0, 66.0, 89.0]], "hand_fit": {"chamfer0": 0.5141412762248574, "chamfer": 0.5141412762248574, "iou0": 0.8365914017329361}}, "17,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.142, 0.0, 0.12, -0.11099999999999999, -0.06, 0.016, -0.12, -0.12, 0.0, -0.21, 0.0, 0.24, 0.06, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.025, 0.025, 0.0, -0.36500000000000005, -0.025000000000000036, 0.185, 0.0, -0.06, 0.0, 0.0, 0.06, 0.0, 0.12, -0.135, 0.06, 0.0, 0.06, 0.0, 0.0, -0.03, 0.0, 0.292, -0.15, 0.127, 0.0, -0.012, 0.0, 0.024, -0.08199999999999999, -0.0185, 0.06, 0.0, 0.0, 0.105, 0.0, 0.0525, 0.026, -0.014999999999999986, 0.10499999999999998, 0.086, 0.16799999999999998, -0.0075, -0.09999999999999998, 0.011, 0.06, 0.0, -0.0635, 0.015, -0.10049999999999998, 0.11249999999999999, 0.17999999999999994, 0.0375, -0.154, 1.0, -0.019999999999999962, 1.0, 1.06, 0.0, -0.16199999999999998], "iou0": 0.8443806218139198, "iou": 0.8393408793881907, "res": [[774.0, 910.0, 56.0, 80.0], [728.0, 865.0, 46.0, 91.0], [653.0, 744.0, 52.0, 39.0], [711.0, 859.0, 78.0, 70.0], [759.0, 919.0, 74.0, 86.0]], "hand_fit": {"chamfer0": 0.62277851774137, "chamfer": 0.6153834920171785, "iou0": 0.8380809915497499}}, "17,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.098, 0.0, 0.015, -0.03, 0.0, 0.0, 0.09, 0.0, -0.12, 0.0, -0.12, 0.24, 0.03, -0.18, 0.18, 0.0, 0.030000000000000006, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025, -0.06, 0.0, -0.32000000000000006, -0.35500000000000004, 0.097, 0.0, 0.0, 0.0, 0.0, -0.08199999999999999, 0.0, 0.03, -0.27, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015, 0.0, -0.12, 0.06, 0.0, -0.006, 0.0, 0.012, -0.011, 2.7755575615628914e-17, 0.0, 0.06, 0.0, -0.03, 0.13499999999999995, 0.0265, 0.0935, 0.0375, 0.0195, -0.03, 0.10849999999999999, 0.071, 0.12, -0.0675, 0.06, 0.15000000000000002, 0.008, 0.07449999999999998, 0.026, -0.055999999999999994, 0.007000000000000006, 0.03, -0.086, -0.123, 1.0, -0.019999999999999962, 1.0, 1.02, 0.0, 0.46399999999999997], "iou0": 0.8217362036005301, "iou": 0.817170731847496, "res": [[832.0, 1026.0, 98.0, 96.0], [760.0, 935.0, 68.0, 107.0], [613.0, 724.0, 47.0, 64.0], [734.0, 899.0, 74.0, 91.0], [780.0, 946.0, 76.0, 90.0]], "hand_fit": {"chamfer0": 0.6644019548499671, "chamfer": 0.6583302242491664, "iou0": 0.8162338866191978}}, "17,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.052, 0.0, 0.0, -0.11099999999999995, -0.03, -0.12, 0.0, 0.0, 0.0, 0.06, 0.0, 0.12, -0.172, 0.0, 0.08199999999999999, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, -0.014999999999999993, 0.0, -0.2780000000000001, -0.715, 0.125, 0.0, -0.07500000000000001, 0.0, 0.03, -0.03, 0.0, 0.128, -0.21, 0.03, 0.0, -0.03, 0.0, 0.06, -0.044, 0.0, 0.15, 0.12, 0.008, 0.0, -0.018000000000000002, 0.006, -0.13849999999999998, -0.0034999999999999996, 0.14449999999999996, -0.024499999999999997, 0.0005000000000000213, 0.0, 0.006999999999999992, 0.10099999999999999, 0.12, 0.0485, 0.007499999999999986, -0.006999999999999999, 0.040999999999999995, -0.0635, 0.03, 0.015, 0.06, 0.22499999999999998, 0.053, 0.1235, 0.12, -0.11249999999999999, 0.06, 0.35, -0.040999999999999995, -0.0925, 0.9580000000000001, 0.040000000000000036, 1.0, 1.0, -0.09, 0.284], "iou0": 0.8258833728285889, "iou": 0.821386208575318, "res": [[852.0, 1043.0, 97.0, 94.0], [773.0, 955.0, 85.0, 97.0], [556.0, 650.0, 56.0, 38.0], [773.0, 925.0, 65.0, 87.0], [815.0, 999.0, 86.0, 98.0]], "hand_fit": {"chamfer0": 0.8737750527198755, "chamfer": 0.8305731635455883, "iou0": 0.8210999635110076}}, "17,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.023, 0.23799999999999996, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.195, 0.0, 0.0, -0.105, 0.31499999999999995, 0.12, -0.045, 0.0, 0.0, 0.03, 0.0, 0.0, -0.28200000000000003, -0.023, 0.443, -0.4609999999999999, -0.12499999999999999, 0.0, -0.12, 0.0, 0.06, 0.0, 0.0, 0.0, -0.06599999999999998, 0.008, 0.0, 0.0, 0.0, 0.06, 0.06, 0.0, 0.06, -0.03, 0.127, 0.0, 0.0, 0.0, 0.07449999999999998, 0.0, 0.015, 0.03, 0.0, 0.06, 0.029500000000000002, 0.03, 0.04050000000000001, 0.022500000000000034, 0.22849999999999993, 0.0225, 0.0005000000000000109, 0.0675, -0.03, 0.007500000000000007, 0.10099999999999999, 0.06, -0.045, 0.135, -0.040999999999999995, 0.006999999999999999, 0.022, 0.0525, 0.004, -0.22399999999999998, 0.31000000000000005, 0.43200000000000005, 0.76, 1.0, 0.21, 0.22399999999999998], "iou0": 0.8831119000931869, "iou": 0.8831013795997256, "res": [[856.0, 984.0, 44.0, 84.0], [821.0, 937.0, 43.0, 73.0], [564.0, 652.0, 51.0, 37.0], [760.0, 827.0, 34.0, 33.0], [793.0, 888.0, 41.0, 54.0]], "hand_fit": {"chamfer0": 0.5752305455656959, "chamfer": 0.5752305455656959, "iou0": 0.8831013795997256}}, "17,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.06, 0.0, 0.09, 0.11199999999999999, -0.12, 0.0, -0.12, 0.0, 0.0, -0.128, 0.0, 0.0, 0.0, 0.0, -0.23199999999999998, -0.044, 0.38199999999999995, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.1, -0.4, 0.0, -0.30500000000000005, -0.5750000000000001, -0.15500000000000003, 0.0, -0.03, 0.0, 0.06, -0.052, 0.0, 0.08199999999999999, 0.0, -0.06, 0.0, 0.0, 0.0, 0.06, 0.008, 0.0, 0.24, 0.0, 0.12000000000000001, 0.0, -0.006, -0.006, -0.0445, 0.0, -0.0525, -0.036499999999999984, 0.0065000000000000335, 0.029, -0.15350000000000003, 0.0485, 0.12, -0.075, 0.27, 0.068, 0.0075, 0.08199999999999999, 0.03299999999999999, -0.04799999999999999, 0.0225, 0.01799999999999999, -0.0335, -0.03699999999999999, 0.0075, -0.05250000000000002, 0.0525, 0.131, -0.0525, -0.12, 0.28, 0.08600000000000003, 1.104, 1.0, 0.03, -0.074], "iou0": 0.8684420145772082, "iou": 0.8674813806545334, "res": [[852.0, 984.0, 45.0, 87.0], [772.0, 881.0, 40.0, 69.0], [545.0, 624.0, 54.0, 25.0], [787.0, 892.0, 55.0, 50.0], [844.0, 975.0, 54.0, 77.0]], "hand_fit": {"chamfer0": 0.5103140583157522, "chamfer": 0.45108870169338094, "iou0": 0.8672600464323658}}, "18,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.36, 0.06, 0.0, 0.22499999999999998, 0.24, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.105, 0.0, 0.067, -0.03800000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.704, 0.0, -0.13899999999999998, 0.05, -0.3070000000000001, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.38199999999999995, 0.0, 0.0, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, 0.008, -0.06, 0.0, -0.012, 0.012, -0.195, -0.06, -0.09, -0.1195, -0.0335, 0.01799999999999999, -0.1195, 0.0, 0.023, -0.13499999999999998, 0.000999999999999994, 0.21, 0.2285, -0.015, -0.034, 0.0975, -0.09749999999999998, -0.20249999999999999, -0.015, 0.040499999999999994, 0.0375, 0.011000000000000013, 0.015, -0.11249999999999999, -0.026, -0.12, 1.0, 1.0, 1.0, 1.17, -0.03, 0.0], "iou0": 0.8821168496387044, "iou": 0.8824796264729692, "res": [[658.0, 748.0, 39.0, 51.0], [666.0, 754.0, 43.0, 45.0], [767.0, 876.0, 55.0, 54.0], [716.0, 799.0, 42.0, 41.0], [628.0, 715.0, 38.0, 49.0]], "hand_fit": {"chamfer0": 0.6643549683160245, "chamfer": 0.6745949986951686, "iou0": 0.8819144868007566}}, "18,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.11299999999999999, 0.0, 0.12, 0.045, 0.0, -0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.10399999999999998, 0.0, 0.36, 0.0, -0.07399999999999998, 0.12, 0.06, 0.0, 0.0, -0.06, 0.0, 0.025, -0.023000000000000007, -0.2, 0.16900000000000004, 0.445, 0.285, 0.0, -0.016, 0.0, 0.06, 0.012999999999999998, -0.008, 0.06, -0.11199999999999999, 0.08300000000000002, 0.0, 0.03, 0.0, 0.12, 0.0, 0.0, 0.0, -0.015, 0.0, 0.0, -0.006, 0.0, 0.025499999999999978, 0.16499999999999998, 0.0, 0.0225, 0.0, 0.12, -0.0635, -0.07449999999999994, -0.03, -0.03, 0.0, 0.0010000000000000148, 0.16049999999999998, -0.011, -0.059, 0.12949999999999995, 0.0, -0.016499999999999997, -0.005999999999999964, -0.008500000000000014, 0.0225, 0.143, 0.03, -0.0335, 0.03, -0.12, 1.0, 0.9400000000000001, 1.0, 1.0, 0.0, 0.06], "iou0": 0.894787277972221, "iou": 0.8895238248658464, "res": [[701.0, 786.0, 55.0, 30.0], [702.0, 784.0, 42.0, 40.0], [745.0, 828.0, 35.0, 48.0], [688.0, 760.0, 35.0, 37.0], [635.0, 718.0, 53.0, 30.0]], "hand_fit": {"chamfer0": 0.4884120475467467, "chamfer": 0.48255129593276536, "iou0": 0.8895238248658464}}, "18,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, -0.03, -0.15, 0.0, 0.06, 0.33699999999999997, 0.0, -0.12, 0.0, 0.0, 0.0, -0.24, 0.0, 0.0, -0.12, -0.12, 0.0, -0.119, -0.008000000000000007, 0.0, 0.12, -0.135, -0.015000000000000013, 0.0, 0.12, -0.62, 0.333, -0.665, 0.85, 0.02500000000000001, 2.3749999999999996, 0.0, -0.03, 0.0, 0.03, -0.24, -0.008, 0.0, -0.11200000000000002, -0.12, 0.0, 0.0, 0.0, 0.06, -0.18, 0.0, 0.068, -0.022, -0.21699999999999997, -0.003, -0.009000000000000001, 0.012, -0.03, 0.09, 0.0, 0.055999999999999994, 0.0, 0.086, -0.0635, 0.12, -0.10049999999999998, 0.16999999999999998, 0.0, 0.0, 0.031, -0.029499999999999988, -0.040499999999999994, 0.086, 0.07099999999999995, -0.0375, 0.07849999999999999, -0.0335, 0.0015000000000000013, 0.06999999999999998, 0.11049999999999996, -0.006499999999999999, 0.0075, -0.0975, 0.34, 1.0, 1.0, 1.0, 0.18, -0.176], "iou0": 0.8838617280166275, "iou": 0.8750523265152284, "res": [[676.0, 770.0, 47.0, 47.0], [703.0, 808.0, 39.0, 66.0], [735.0, 831.0, 46.0, 50.0], [677.0, 738.0, 33.0, 28.0], [619.0, 707.0, 50.0, 38.0]], "hand_fit": {"chamfer0": 2.3091909953841823, "chamfer": 1.1524583888971032, "iou0": 0.8728026761301233}}, "18,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.015, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, 0.42, 0.0, 0.0, 0.0, -0.008, 0.075, -0.14200000000000002, 0.0, 0.22499999999999998, 0.06, -0.15, 0.0, 0.052, 0.0, -0.5119999999999999, 0.05, -0.44, 1.3499999999999999, 0.4000000000000001, 1.9250000000000003, 0.0, -0.03, 0.0, 0.12, -0.255, 0.0, 0.0, 0.08299999999999999, 0.0, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.045, -0.08099999999999999, -0.06699999999999999, 0.0, -0.012, 0.0, -0.16449999999999998, -0.03, -0.022, 0.0, 0.089, 0.06, -0.011, 0.07099999999999998, 0.12, 0.33099999999999996, 0.0, 0.0, 0.11249999999999999, -0.0675, 0.08249999999999999, 0.18, 0.127, 0.0, -0.0225, 0.135, -0.11599999999999999, 0.026, -0.06399999999999995, -0.0225, -0.12, -0.13849999999999996, 0.28, 1.0, 1.17, 1.0, 0.0, 0.24], "iou0": 0.8671538601536429, "iou": 0.8571805850703862, "res": [[619.0, 718.0, 59.0, 40.0], [736.0, 848.0, 37.0, 75.0], [782.0, 898.0, 47.0, 69.0], [745.0, 842.0, 52.0, 45.0], [653.0, 764.0, 79.0, 32.0]], "hand_fit": {"chamfer0": 1.691489142934276, "chamfer": 1.4400290621576413, "iou0": 0.8570439750090741}}, "18,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.105, 0.0, 0.015, 0.179, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24, 0.0, 0.0, -0.06, 0.03, -0.044999999999999984, -0.2599999999999999, 0.068, 0.12, 0.12, 0.0, -0.18, 0.12, 0.0, -0.33, 0.34, -0.275, 0.55, 0.5970000000000001, -0.8000000000000004, 0.0, -0.06, 0.0, 0.03, -0.09, 0.0, 0.12, -0.255, 0.06, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.16499999999999998, -0.21699999999999997, 0.015, 0.0, -0.012, 0.009000000000000001, -0.052000000000000005, 0.0375, -0.060000000000000005, 0.1425, 0.0, -0.006999999999999999, -0.09, 0.24749999999999991, 0.105, 0.12, 0.0, 0.0, 0.040999999999999995, -0.1275, 0.046, 0.08199999999999999, -0.014500000000000006, 0.040999999999999995, -0.105, 0.0, 0.03, 0.16499999999999998, 0.026, -0.026, -0.0975, 0.0225, 0.14400000000000002, 1.0, 1.02, 1.0, 0.0, 0.21], "iou0": 0.8618434953846503, "iou": 0.8497561896851729, "res": [[631.0, 726.0, 46.0, 49.0], [748.0, 853.0, 51.0, 54.0], [844.0, 971.0, 65.0, 62.0], [735.0, 855.0, 71.0, 49.0], [634.0, 753.0, 73.0, 46.0]], "hand_fit": {"chamfer0": 2.758191543490928, "chamfer": 2.7817203179246803, "iou0": 0.8429115718542443}}, "18,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.0, 0.12, 0.0, 0.09, 0.053000000000000005, 0.075, 0.18, 0.12, 0.0, 0.0, -0.015, 0.0, -0.4700000000000001, 0.6350000000000001, -0.38, 0.6750000000000002, 0.3, 1.6500000000000004, 0.0, 0.0, 0.0, 0.105, -0.22499999999999998, 0.0, -0.045, 0.015, 0.0, 0.0, 0.03, 0.0, 0.09, -0.17999999999999994, 0.0, 0.0, 0.24000000000000002, -0.12, 0.0, 0.0, 0.0, 0.03949999999999999, -0.07799999999999999, -0.055499999999999994, 0.0, -0.0005000000000000004, 0.03, -0.071, -0.015, 0.071, 0.0975, 0.0, 0.0, 0.23249999999999998, -0.040499999999999994, 0.0375, 0.16849999999999998, 0.055999999999999994, 0.1195, 0.082, 0.06, 0.015, 0.15, 0.09, 0.0, -0.1725, -0.105, 0.040000000000000036, 1.0, 1.2, 1.0, 0.0, -0.51], "iou0": 0.8602230901940905, "iou": 0.8499041787888881, "res": [[640.0, 749.0, 58.0, 51.0], [751.0, 873.0, 56.0, 66.0], [798.0, 915.0, 65.0, 52.0], [756.0, 869.0, 65.0, 48.0], [666.0, 786.0, 85.0, 35.0]], "hand_fit": {"chamfer0": 1.9705092980779217, "chamfer": 1.1993844683937822, "iou0": 0.8509506519883392}}, "18,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.24, 0.4719999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.36, 0.0, 0.0, -0.135, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01999999999999999, 0.23199999999999998, 0.008, -0.9, 0.08799999999999997, -0.21000000000000002, 0.0, 0.0, 0.0, 0.06, -0.11299999999999999, 0.0, 0.0, -0.075, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.008, 0.27699999999999997, 0.0, -0.006, -0.012, 0.0, 0.03, -0.04799999999999999, 0.011, 0.0, 0.0075, 0.131, 0.0, 0.0, 0.003999999999999986, 0.20249999999999999, 0.15599999999999997, 0.0335, 0.086, 0.015, 0.045, 0.176, 0.071, -0.20600000000000002, -0.0375, -0.015, 0.0, 0.010999999999999996, -0.0515, -0.03, 0.0, 0.011, 0.46, 1.0, 1.0, 1.0, 0.016, 0.013999999999999999], "iou0": 0.879577023293967, "iou": 0.8784384454728246, "res": [[600.0, 690.0, 42.0, 48.0], [724.0, 826.0, 65.0, 37.0], [823.0, 946.0, 62.0, 61.0], [746.0, 850.0, 52.0, 52.0], [613.0, 675.0, 29.0, 33.0]], "hand_fit": {"chamfer0": 0.9527703453861681, "chamfer": 0.926077398479015, "iou0": 0.8770609920033638}}, "19,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.128, 0.0, 0.0, 0.128, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.105, 0.0, -0.03, 0.0, 0.09, -0.142, 0.435, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, -0.04499999999999999, 0.22, 0.0, -0.87, -0.030000000000000013, -0.30000000000000004, 0.0, -0.03, 0.0, 0.09, -0.12, 0.0, -0.015, 0.03, -0.045, 0.0, 0.0, 0.0, 0.06, -0.18, 0.015, 0.06, 0.08099999999999997, -0.20999999999999996, 0.0, -0.006, 0.0, 0.015, 0.06, -0.037500000000000006, -0.052000000000000005, 0.006500000000000013, -0.015, 0.0, -0.0525, -0.0895, 0.05999999999999998, 0.0, 0.09, 0.015000000000000003, 0.0, -0.015, 0.09299999999999997, 0.0, 0.0, 0.0375, -0.11949999999999998, -0.045000000000000005, -0.0075, 0.026, -0.05650000000000001, -0.0335, -0.06, 0.28, 1.0, 1.1239999999999999, 1.0, 0.0, 0.03], "iou0": 0.8901721874210182, "iou": 0.8883587739218315, "res": [[634.0, 715.0, 33.0, 48.0], [724.0, 797.0, 47.0, 26.0], [821.0, 929.0, 58.0, 50.0], [733.0, 816.0, 41.0, 42.0], [631.0, 711.0, 37.0, 43.0]], "hand_fit": {"chamfer0": 0.9542059594975125, "chamfer": 0.9484686470708074, "iou0": 0.8853844474726827}}, "19,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.12, 0.0, 0.172, 0.31399999999999995, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, -0.06, 0.015000000000000097, 0.12, -0.12, -0.043999999999999984, -0.17199999999999993, 0.24, 0.0, -0.12, -0.12, 0.0, 0.0, -0.32000000000000006, -0.20000000000000004, -0.1, 0.6000000000000001, 0.892, 0.9600000000000002, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.11299999999999999, -0.225, 0.06, 0.0, 0.03, 0.0, 0.09, 0.06, 0.0, 0.03, 0.14199999999999996, 0.03, 0.0, -0.012, 0.0, 0.0, -0.09, -0.07499999999999993, -0.14250000000000002, 0.14499999999999996, 0.12, -0.075, 0.0, 0.06, 0.014499999999999999, 0.0, 0.0, 0.12400000000000001, -0.135, 0.011, 0.0, 0.015, -0.045, -0.0525, -0.03, 0.016, 0.0225, -0.0295, -0.14250000000000002, 0.0, -0.055999999999999994, 1.0, 1.0, 1.0, 0.79, 0.0, 0.12], "iou0": 0.8959257001717177, "iou": 0.8911740969860077, "res": [[666.0, 734.0, 34.0, 34.0], [674.0, 753.0, 31.0, 48.0], [772.0, 859.0, 42.0, 45.0], [742.0, 831.0, 43.0, 46.0], [681.0, 769.0, 50.0, 38.0]], "hand_fit": {"chamfer0": 0.7161787007970812, "chamfer": 0.5744509997413705, "iou0": 0.8914002359949865}}, "19,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.0, 0.0, 0.0, 0.172, 0.008, 0.06, 0.0, 0.0, 0.0, -0.06, 0.0, 0.0, 0.05199999999999999, 0.0, -0.12, 0.097, 0.13499999999999998, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, -0.095, -0.095, -0.067, 0.3, 0.8750000000000001, 0.5950000000000001, 0.0, 0.0, 0.0, 0.015, 0.015, -0.015, 0.045, -0.015000000000000013, 0.12, 0.0, 0.06, 0.0, 0.06, -0.075, 0.0, 0.09, -0.075, -0.172, 0.0, -0.012, 0.0, -0.0405, -0.06, 0.007499999999999993, -0.07849999999999999, 0.08199999999999999, 0.0, -0.03, -0.0895, 0.04799999999999999, -0.025, 0.012999999999999998, -0.019999999999999976, 0.06, 0.045, 0.105, -0.135, 0.0, -0.10099999999999999, -0.071, -0.08299999999999999, 0.015, 0.0675, 0.0, -0.0675, -0.04799999999999999, -0.06, 0.8200000000000001, 1.0, 1.0, 1.0, 0.39, -0.104], "iou0": 0.8889535976251706, "iou": 0.8887332869715051, "res": [[649.0, 728.0, 38.0, 41.0], [713.0, 803.0, 49.0, 41.0], [771.0, 867.0, 48.0, 48.0], [733.0, 803.0, 36.0, 34.0], [674.0, 778.0, 54.0, 50.0]], "hand_fit": {"chamfer0": 0.5847934723007078, "chamfer": 0.5080422290400868, "iou0": 0.8887587651103338}}, "19,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.12, 0.0, 0.11299999999999999, 0.24, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.12, 0.05199999999999999, -0.22499999999999998, 0.0, 0.18, 0.0, -0.12, -0.11199999999999999, 0.03, 0.0, -0.3000000000000001, 0.2, -0.1, 0.099, 0.7500000000000001, 0.9750000000000002, 0.0, 0.015, 0.0, 0.015, -0.038, -0.015, 0.127, -0.128, 0.07399999999999998, 0.0, 0.023, 0.0, 0.075, 0.015, 0.0, 0.053, 0.179, -0.008, 0.0, -0.012, 0.0, 0.146, -0.0675, 0.0, -0.0525, 0.12, 0.0, -0.0375, -0.10099999999999999, 0.0075, 0.0, 0.0, 0.0, 0.181, -0.0005000000000000004, 0.045, 0.0075, 0.006999999999999999, -0.06349999999999997, 0.018499999999999985, -0.0005000000000000004, 0.0305, 0.026, 0.0, -0.0525, 0.05199999999999999, -0.005999999999999998, 1.0, 1.0, 1.0, 1.0, -0.16399999999999998, 0.016000000000000014], "iou0": 0.8924943495363813, "iou": 0.8907805052084811, "res": [[673.0, 747.0, 43.0, 31.0], [687.0, 762.0, 40.0, 35.0], [789.0, 871.0, 52.0, 30.0], [739.0, 841.0, 53.0, 49.0], [683.0, 773.0, 55.0, 35.0]], "hand_fit": {"chamfer0": 0.6560072545525784, "chamfer": 0.5955429507362519, "iou0": 0.8915150908406366}}, "19,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015, 0.18, 0.06, 0.32999999999999996, 0.015000000000000013, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.12, 0.16499999999999998, 0.12, -0.24, 0.24, 0.22499999999999998, 0.075, 0.0, 0.0, -0.12, -0.015, -0.015, 0.025, 0.292, -0.085, -0.49300000000000005, 0.4800000000000001, 0.2, 0.0, -0.015, 0.0, 0.045, -0.18, 0.0, 0.015, -0.17099999999999999, -0.03, 0.015, 0.0, 0.0, 0.045, -0.03, 0.03, -0.045, 0.0, -0.075, 0.0, 0.0, 0.0, -0.03, 0.0635, -0.09, -0.22499999999999998, 0.040999999999999995, -0.015, 0.03, -0.146, 0.082, -0.015, 0.0, 0.005999999999999995, 0.0485, -0.015, -0.004, 0.014499999999999985, 0.0675, -0.0785, -0.004, -0.05599999999999998, 0.053000000000000005, 0.06699999999999999, 0.05250000000000001, 0.03, 0.0, -0.0075, 1.0, 1.0, 1.0, 1.0, 0.0, 0.1799999999999999], "iou0": 0.8932994328949524, "iou": 0.891302933975512, "res": [[676.0, 758.0, 44.0, 38.0], [686.0, 766.0, 37.0, 43.0], [766.0, 862.0, 49.0, 47.0], [727.0, 789.0, 37.0, 25.0], [666.0, 761.0, 54.0, 41.0]], "hand_fit": {"chamfer0": 0.6164561005948423, "chamfer": 0.5504650152884355, "iou0": 0.8915310909475087}}, "19,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.11199999999999999, 0.0, 0.0, 0.3, 0.0, 0.03, 0.0, 0.0, 0.0, 0.03, 0.0, -0.03, -0.262, -0.06, 0.0, 0.006999999999999999, 0.27, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07500000000000001, 0.095, 0.0, -0.8570000000000001, 0.07499999999999997, -0.025, 0.0, 0.0, 0.0, 0.06, 0.015, -0.03, 0.015, -0.045, 0.127, 0.0, 0.0, 0.0, 0.12, -0.11199999999999999, 0.0, -0.045, 0.11199999999999999, -0.015, 0.0, -0.006, 0.0, 0.0225, -0.0225, -0.052000000000000005, 0.0075, 0.1699999999999999, 0.08199999999999999, -0.014499999999999992, 0.0, -0.0935, 0.0034999999999999996, 0.13099999999999995, 0.135, 0.0, -0.0075, 0.045, 0.10099999999999999, 0.075, -0.0975, 0.0075, 0.0225, -0.12, 0.086, -0.06, -0.0445, -0.09, -0.06, 0.9760000000000001, 1.0, 1.034, 1.0179999999999998, 0.09, 0.044], "iou0": 0.8804272309481588, "iou": 0.8810785557774258, "res": [[640.0, 724.0, 31.0, 53.0], [731.0, 821.0, 59.0, 31.0], [811.0, 921.0, 46.0, 64.0], [720.0, 809.0, 44.0, 45.0], [622.0, 722.0, 37.0, 63.0]], "hand_fit": {"chamfer0": 0.8735306938944563, "chamfer": 0.8408532028782186, "iou0": 0.8792255095852124}}, "19,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.12, 0.0, 0.023, -0.008, 0.0, 0.0, -0.105, 0.0, -0.12, -0.12, -0.12, -0.12, -0.24, 0.0, 0.015, 0.015000000000000027, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.07500000000000001, 0.32999999999999996, -0.025, -0.16300000000000003, 0.457, 0.42000000000000004, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, -0.05299999999999999, 0.0, 0.0, 0.0, 0.0, 0.03, -0.03, 0.03, 0.015, -0.12, -0.12, 0.0, 0.0, 0.006, 0.0, -0.12, -0.0485, -0.0525, -0.0005000000000000074, 0.0185, 0.0, -0.191, -0.015, 0.11249999999999999, 0.040999999999999995, 0.0, 0.12, 0.0, -0.015, -0.0075, 0.0485, -0.0075, -0.07049999999999998, -0.11249999999999999, 0.1275, -0.03, 0.040999999999999995, 0.0, -0.06, -0.09, 1.0, 1.0, 1.0, 1.0, 0.24, 0.044], "iou0": 0.8829611763063745, "iou": 0.8834779433942295, "res": [[729.0, 822.0, 45.0, 48.0], [637.0, 707.0, 41.0, 29.0], [743.0, 840.0, 50.0, 47.0], [735.0, 842.0, 43.0, 64.0], [673.0, 774.0, 44.0, 57.0]], "hand_fit": {"chamfer0": 0.7360445047433174, "chamfer": 0.604965170779006, "iou0": 0.8831663088576012}}, "2,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.105, 0.0, -0.136, -0.3059999999999998, 0.008, -0.12, -0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.067, -0.12, -0.09, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.29500000000000004, 0.0, -0.5870000000000001, -0.035, -0.31500000000000006, 0.0, 0.0, 0.0, 0.015, 0.105, -0.008, -0.045, -0.015, 0.046, 0.015, 0.0, 0.0, 0.12, -0.21699999999999997, 0.0, -0.36, 0.15000000000000002, -0.105, 0.0, 0.0, 0.006, 0.040999999999999995, -0.06, -0.011, 0.0635, 0.0005000000000000074, 0.0, 0.15, -0.105, -0.033, -0.0525, 0.006499999999999992, 0.12, 0.187, 0.0525, 0.11249999999999999, -0.127, -0.045, -0.057999999999999975, -0.071, 0.071, 0.1645, 0.1375, -0.0075, -0.015, -0.052, -0.08199999999999999, 0.8200000000000001, 1.0, 0.5820000000000001, 1.0, -0.104, -0.03], "iou0": 0.8905555521725388, "iou": 0.8883199885392058, "res": [[751.0, 823.0, 37.0, 35.0], [669.0, 758.0, 44.0, 45.0], [637.0, 725.0, 33.0, 55.0], [712.0, 795.0, 42.0, 41.0], [705.0, 798.0, 47.0, 46.0]], "hand_fit": {"chamfer0": 0.7466601585786118, "chamfer": 0.7352740469801794, "iou0": 0.8885632975416389}}, "2,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.066, 0.0, -0.03, 0.0, 0.0, 0.0, -0.12, 0.0, -0.12, -0.12, 0.0, 0.12, 0.24, 0.0, -0.045, 0.24, 0.12, 0.0, 0.06, 0.0, 0.0, -0.12, 0.0, 0.0, 0.29999999999999993, -0.06, -0.52, -0.0049999999999999975, -0.155, 0.0, 0.0, 0.0, 0.075, 0.015, 0.0, -0.09, 0.045, -0.06, 0.0, 0.0, 0.0, 0.0, 0.24, 0.0, 0.008, 0.18, 0.12, 0.0, -0.006, 0.006, 0.0, 0.0, -0.068, 0.09, -0.0225, 0.0, 0.1235, -0.0635, 0.09699999999999999, -0.123, 0.03, 0.11599999999999999, 0.10849999999999999, -0.07849999999999999, -0.08249999999999999, 0.08249999999999999, 0.146, 0.015, -0.0935, 0.055999999999999994, 0.0, 0.026, 0.022, 0.038000000000000006, -0.043999999999999984, -0.045, 0.776, 1.0, 1.184, 1.06, -0.24, -0.3], "iou0": 0.8941010838109682, "iou": 0.8934784167760282, "res": [[732.0, 783.0, 27.0, 24.0], [722.0, 812.0, 40.0, 50.0], [710.0, 823.0, 48.0, 65.0], [700.0, 799.0, 38.0, 61.0], [675.0, 743.0, 32.0, 36.0]], "hand_fit": {"chamfer0": 0.5502567724624845, "chamfer": 0.5441928178421596, "iou0": 0.8934784167760282}}, "2,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, 0.0, -0.3, 0.0, 0.0, -0.12, 0.06, 0.0, 0.0, 0.0, -0.12, -0.42, 0.0, 0.052, 0.043999999999999984, 0.0, 0.015, 0.0, 0.0, -0.11199999999999999, 0.12, 0.0, 0.1, 0.5379999999999999, 0.0, -0.686, -0.28, -0.7050000000000001, 0.0, -0.015, 0.0, 0.0, -0.09, -0.03, 0.09, 0.045, 0.0, 0.0, 0.06, 0.0, 0.0, 0.008000000000000007, 0.0, 0.0, 0.06, -0.11199999999999999, 0.0, -0.012, 0.0, 0.07449999999999998, -0.06249999999999997, 0.0, 0.060500000000000005, 0.0, 0.0485, 0.06349999999999999, -0.017499999999999974, -0.020499999999999987, -0.005999999999999998, 0.03999999999999994, -0.006999999999999999, 0.11599999999999999, 0.21749999999999997, -0.064, -0.27, 0.075, -0.29999999999999993, -0.015000000000000013, -0.185, 0.075, 0.10849999999999999, 0.0225, 0.0, -0.03, -0.075, 0.8360000000000001, 0.52, 1.2, 1.1079999999999999, 0.24, 0.46399999999999997], "iou0": 0.9045789175753457, "iou": 0.902530377256571, "res": [[742.0, 805.0, 21.0, 42.0], [639.0, 696.0, 21.0, 36.0], [605.0, 687.0, 33.0, 49.0], [712.0, 785.0, 38.0, 35.0], [707.0, 783.0, 40.0, 36.0]], "hand_fit": {"chamfer0": 0.969906020082275, "chamfer": 0.9656886989701915, "iou0": 0.8991883813475228}}, "2,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.045, -0.008, -0.128, -0.12, 0.0, 0.0, -0.12, 0.008, -0.06, 0.0, 0.0, 0.0, -0.374, 0.0, 0.0, 0.0, 0.18599999999999997, -0.03, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, -0.14500000000000002, 0.07700000000000001, -0.275, -0.03, -0.12, 0.0, 0.142, 0.03, 0.0, 0.12, 0.135, 0.12, 0.0, 0.0, 0.0, 0.12, 0.03, 0.0, -0.038, 0.0, 0.03, 0.0, 0.0, 0.0, 0.007500000000000007, 0.0375, 0.05699999999999995, -0.07749999999999999, 0.0, 0.12, 0.015, 0.0005000000000000004, 0.0, 0.021999999999999992, 0.0, 0.0, -0.0375, -0.12, 0.176, 0.006999999999999992, 0.0, 0.071, 0.040999999999999995, 0.018499999999999957, 0.030500000000000006, -0.0045000000000000075, -0.071, 0.0, -0.015, -0.0185, 1.0, 1.02, 1.0, 0.956, 0.09, -0.15], "iou0": 0.9019823077420943, "iou": 0.9024575043960205, "res": [[734.0, 817.0, 35.0, 48.0], [649.0, 734.0, 31.0, 54.0], [718.0, 801.0, 31.0, 52.0], [735.0, 803.0, 32.0, 36.0], [719.0, 779.0, 32.0, 28.0]], "hand_fit": {"chamfer0": 1.112707134123075, "chamfer": 1.0699257313040322, "iou0": 0.9022608597690862}}, "2,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, -0.09, -0.06, 0.12, 0.12000000000000001, 0.105, 0.0, -0.12, -0.12, 0.03, -0.12, 0.0, -0.09, -0.15000000000000002, -0.045, 0.0, 0.15000000000000002, -0.455, 0.0, 0.0, 0.0, 0.06, 0.09, 0.0, -0.09, -0.045, -0.015, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.026, -0.0075, 0.1725, -0.055999999999999994, -0.10999999999999999, 0.15000000000000002, -0.131, 0.0895, 0.0040000000000000036, -0.0635, 0.0, 0.0375, 0.045, 0.03699999999999999, 0.015, 0.075, -0.018500000000000013, -0.03, 0.13499999999999998, -0.097, 0.0185, 0.0, 0.0, 1.0, 0.9899999999999998, 1.0, 1.0, -0.27, -0.044], "iou0": 0.8972669994241533, "iou": 0.8978405668418361, "res": [[656.0, 713.0, 30.0, 27.0], [639.0, 728.0, 33.0, 56.0], [796.0, 902.0, 48.0, 58.0], [775.0, 851.0, 30.0, 46.0], [691.0, 767.0, 40.0, 36.0]], "hand_fit": {"chamfer0": 1.063291667710097, "chamfer": 1.035489558094078, "iou0": 0.8981214657182406}}, "2,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.015, 0.03, 0.03, 0.14999999999999997, -0.03, 0.128, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, -0.045, 0.0, 0.0, 0.0, -0.052, 0.008, 0.0, -0.06, 0.0, 0.0, 0.052, -0.08499999999999999, 0.12099999999999997, -0.13, -0.1, 0.162, 0.20500000000000002, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, -0.022, 0.15699999999999997, -0.142, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.03, 0.030000000000000027, -0.03, 0.006, -0.006, -0.006, 0.015, -0.045, 0.0935, 0.0, 0.0005000000000000004, 0.165, 0.0485, 0.037, 0.038000000000000006, 0.0445, -0.0010000000000000009, 0.20499999999999996, -0.0265, -0.11250000000000002, 0.07849999999999999, -0.0005000000000000074, 0.0, -0.08249999999999999, 0.101, -0.028499999999999987, 0.06, -0.06, 0.0375, 0.11599999999999999, 0.045, -0.06699999999999999, 1.0, 1.0, 1.02, 1.03, 0.0, 0.0], "iou0": 0.8994851892272319, "iou": 0.8995048879595446, "res": [[715.0, 775.0, 30.0, 30.0], [660.0, 732.0, 27.0, 45.0], [744.0, 842.0, 35.0, 63.0], [752.0, 835.0, 32.0, 51.0], [660.0, 737.0, 38.0, 39.0]], "hand_fit": {"chamfer0": 1.2935716778782405, "chamfer": 1.2286895392511208, "iou0": 0.8992571726691541}}, "2,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.03, 0.0, 0.0, -0.18, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.12, -0.006999999999999999, -0.028999999999999998, 0.0, 0.06, -0.008000000000000007, 0.027999999999999997, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.12, 0.565, -0.05, -0.43500000000000005, -0.20500000000000002, -0.07500000000000004, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.06, 0.0, 0.12, 0.0, 0.0, -0.16399999999999998, -0.27, -0.11199999999999999, 0.0, 0.0, 0.0, 0.015, 0.0, -0.035999999999999976, 0.0, 0.0, 0.0, 0.0675, -0.026, -0.15, 0.0225, 0.0, 0.0, -0.13049999999999995, 0.0375, 0.11199999999999999, 0.31999999999999995, 0.0, -0.006999999999999992, 0.087, 0.06, 0.0525, 0.14999999999999997, 0.0, 0.0225, -0.021999999999999992, -0.086, 1.0, 1.0, 1.0, 1.0, -0.074, -0.36], "iou0": 0.8946692105003367, "iou": 0.8923527427721346, "res": [[746.0, 814.0, 27.0, 41.0], [695.0, 781.0, 53.0, 33.0], [653.0, 737.0, 30.0, 54.0], [667.0, 769.0, 43.0, 59.0], [676.0, 737.0, 23.0, 38.0]], "hand_fit": {"chamfer0": 1.4873856985887932, "chamfer": 1.4718897180248969, "iou0": 0.8921266370041568}}, "2,7": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.045, 0.0, -0.12, -0.03, 0.0, -0.12, -0.12, 0.06, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, -0.06, 0.015, -0.097, -0.052, 0.0, 0.0, 0.0, 0.0, 0.0, 0.225, 0.10699999999999998, -0.05, -0.41600000000000004, 0.4100000000000001, 0.0, 0.0, 0.0, 0.0, 0.03, 0.09, 0.0, -0.052, -0.15699999999999997, 0.06, 0.0, 0.06, 0.0, 0.06, 0.0, 0.0, 0.06, -0.12, -0.06, 0.0, 0.0, 0.0, 0.14949999999999997, 0.0005000000000000004, 0.0375, 0.03, -0.0485, 0.11199999999999999, 0.14499999999999996, 0.0, -0.0059999999999999915, -0.10849999999999999, 0.026, 0.11199999999999999, 0.1835, -0.18699999999999997, 0.123, 0.12000000000000001, 0.015, -0.1275, -0.02149999999999997, -0.0905, -0.0075, 0.183, 0.03, 0.0, 0.03, -0.06, 1.0, 0.52, 1.0, 1.0, 0.14799999999999996, 0.0], "iou0": 0.9141289075806036, "iou": 0.9041281534521757, "res": [[759.0, 814.0, 19.0, 36.0], [676.0, 739.0, 30.0, 33.0], [608.0, 676.0, 32.0, 36.0], [672.0, 742.0, 31.0, 39.0], [709.0, 772.0, 33.0, 30.0]], "hand_fit": {"chamfer0": 1.14569090082468, "chamfer": 1.1307188107711874, "iou0": 0.9043548609181469}}, "2,9": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.135, 0.0, -0.11199999999999999, -0.03, 0.0, -0.12, 0.0, 0.06, 0.0, 0.0, 0.12, 0.0, 0.08199999999999999, 0.0, 0.39699999999999996, 0.0, 0.0, 0.0, 0.135, -0.015, 0.0, 0.0, 0.0, 0.07500000000000001, 0.155, 0.025, -0.44500000000000006, 0.22999999999999995, -0.025, 0.0, 0.0, 0.0, 0.12, 0.008, 0.0, -0.248, -0.083, 0.0, 0.0, 0.06, 0.0, 0.06, 0.22499999999999998, 0.0, -0.15, 0.08199999999999999, 0.045, 0.0, 0.0, 0.0, -0.06, -0.16799999999999998, 0.055999999999999994, 0.0, 0.014499999999999999, 0.06, 0.1235, -0.0485, 0.0, -0.14249999999999996, 0.0, 0.08249999999999999, -0.0075, 0.045, -0.026, 0.0, 0.0225, -0.11599999999999999, 0.045, 0.0075, 0.097, 0.03, 0.06, 0.0, -0.0675, -0.086, 1.0, 0.31000000000000005, 1.0, 0.8660000000000001, -0.013999999999999999, 0.03], "iou0": 0.8898645654996926, "iou": 0.8911749654874164, "res": [[699.0, 772.0, 29.0, 44.0], [737.0, 847.0, 47.0, 63.0], [699.0, 826.0, 40.0, 87.0], [686.0, 762.0, 31.0, 45.0], [711.0, 755.0, 23.0, 21.0]], "hand_fit": {"chamfer0": 0.3971946633045365, "chamfer": 0.3463861196655059, "iou0": 0.8907567227795663}}, "2,8": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.015, -0.18, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.18, 0.0, 0.11199999999999999, 0.015, 0.0, -0.008, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01999999999999999, 0.44799999999999995, 0.0, -0.6879999999999998, -0.081, -0.2, 0.008, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.008, 0.12, 0.0, 0.12, 0.0, 0.06, -0.022, 0.0, 0.07500000000000001, -0.11300000000000004, -0.015, 0.0, 0.0, 0.0, -0.0185, -0.142, 0.045, -0.006999999999999999, -0.0075, 0.0, 0.15000000000000002, -0.004, 0.0, 0.0, 0.0, 0.11199999999999999, -0.058999999999999976, -0.195, -0.0325, 0.34249999999999997, 0.154, 0.09, -0.011, 0.15699999999999997, 0.014499999999999999, -0.026, -0.0185, 0.13449999999999995, 0.0, -0.055999999999999994, 1.0, 1.0, 0.88, 1.0, 0.0, 0.42], "iou0": 0.8970804783074087, "iou": 0.8959799839350543, "res": [[761.0, 833.0, 34.0, 38.0], [729.0, 804.0, 39.0, 36.0], [702.0, 804.0, 54.0, 48.0], [705.0, 781.0, 33.0, 43.0], [712.0, 797.0, 46.0, 39.0]], "hand_fit": {"chamfer0": 0.5300156032883725, "chamfer": 0.46968595522732787, "iou0": 0.8950254330931047}}, "20,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.068, 0.0, -0.135, -0.12, 0.0, 0.0, -0.24, -0.135, -0.12, -0.30699999999999994, 0.0, 0.12, -0.142, 0.105, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.375, 0.0, -0.37200000000000005, -0.09500000000000001, 0.09999999999999998, 0.0, 0.0, 0.0, 0.03, 0.0, 0.0, 0.105, 0.03, 0.0, -0.03, 0.0, 0.0, 0.12, -0.03, 0.0, 0.128, 0.12, 0.0, 0.0, 0.0, 0.0, -0.014499999999999999, -0.0675, -0.006999999999999999, -0.06349999999999997, 0.04749999999999993, 0.0, 0.04449999999999999, -0.05499999999999998, -0.010999999999999982, 0.0, 0.20249999999999999, 0.13499999999999998, -0.10099999999999998, -0.10149999999999998, 0.08949999999999994, 0.101, 0.0675, 0.14549999999999996, 0.0, 0.0, -0.086, 0.08249999999999999, 0.0, -0.0525, 0.0, -0.0075, 1.0, 0.040000000000000036, 1.0, 1.0, -0.12, 0.06], "iou0": 0.8970796600491632, "iou": 0.8939300159337982, "res": [[734.0, 812.0, 38.0, 40.0], [856.0, 965.0, 52.0, 57.0], [849.0, 954.0, 45.0, 60.0], [638.0, 698.0, 34.0, 26.0], [644.0, 719.0, 33.0, 42.0]], "hand_fit": {"chamfer0": 0.39194026756698663, "chamfer": 0.39194026756698663, "iou0": 0.8939300159337982}}, "20,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.06, 0.0, -0.06, -0.097, 0.0, -0.06, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.135, 0.0, 0.0, -0.075, 0.345, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.10700000000000001, 0.36, 0.0, -0.475, -0.014000000000000123, 0.11699999999999997, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.195, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.006999999999999999, 0.10500000000000001, 0.0, -0.012, 0.006, 0.015, -0.015, -0.05550000000000001, -0.0935, -0.0005000000000000074, 0.10799999999999998, 0.0075, -0.0075, -0.0335, -0.187, 0.0, 0.071, 0.022, 0.0225, 0.034, 0.172, 0.0, 0.045, -0.011, -0.038000000000000006, -0.03, -0.0485, 0.06, 0.055999999999999994, 0.022, 0.0, 1.0, 0.10000000000000003, 1.0, 1.0, -0.194, 0.406], "iou0": 0.8973074489728863, "iou": 0.8973827213127402, "res": [[786.0, 865.0, 35.0, 44.0], [857.0, 958.0, 46.0, 55.0], [710.0, 790.0, 46.0, 34.0], [609.0, 666.0, 27.0, 30.0], [687.0, 784.0, 45.0, 52.0]], "hand_fit": {"chamfer0": 0.3774360139096246, "chamfer": 0.374210383375602, "iou0": 0.8973833726767468}}, "20,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, 0.015, -0.06, 0.0, 0.0, 0.015, 0.0, 0.0, -0.067, -0.015, 0.0, -0.015, 0.03, 0.015, -0.015, -0.015, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.1, 0.21200000000000002, -0.05, -0.41000000000000003, 0.115, 0.04000000000000001, 0.015, -0.015, 0.0, 0.015, -0.015, 0.0, -0.08199999999999999, 0.007000000000000006, -0.015, 0.0, 0.0, 0.0, 0.09, 0.15, 0.0, 0.045, 0.015, 0.03, 0.006, 0.0, 0.0, -0.06, 0.0, 0.0255, -0.16449999999999998, 0.0, 0.0, 0.055999999999999994, 0.105, 0.0, 0.09299999999999999, 0.075, 0.0, -0.16399999999999998, -0.0075, 0.08249999999999999, 0.16249999999999998, -0.015, -0.2284999999999999, 0.0255, -0.029500000000000002, 0.055999999999999994, -0.07400000000000001, -0.018500000000000013, 0.0, -0.16099999999999998, -0.03, 1.0, 1.0, 1.0499999999999998, 1.0, 0.0, 0.0], "iou0": 0.8960159837368625, "iou": 0.8921990798839257, "res": [[806.0, 886.0, 27.0, 53.0], [810.0, 892.0, 43.0, 39.0], [594.0, 670.0, 31.0, 45.0], [649.0, 728.0, 35.0, 44.0], [706.0, 793.0, 39.0, 48.0]], "hand_fit": {"chamfer0": 0.9211040679345104, "chamfer": 0.9211040679345104, "iou0": 0.8921990798839257}}, "20,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, -0.18, 0.0, 0.06, 0.39699999999999996, -0.11199999999999999, -0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.22499999999999998, 0.0, 0.135, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, 0.0, 0.0, -0.24800000000000003, 0.26799999999999996, 0.045, 0.0, 0.0, 0.0, 0.052, 0.06, 0.0, 0.08199999999999999, 0.045, 0.045, 0.0, -0.015, 0.0, 0.06, 0.173, 0.06, -0.008, 0.03, -0.045, 0.0, -0.006, 0.0, 0.09, -0.0075, 0.044500000000000005, -0.18699999999999997, 0.0, 0.105, 0.052, -0.06, -0.015, 0.0, 0.16799999999999998, 0.21, 0.075, -0.09749999999999998, 0.0225, 0.128, -0.06, -0.09000000000000001, 0.027, -0.0015000000000000013, 0.0225, 0.06, 0.0485, 0.0, 0.0, -0.12, 0.52, 0.28, 1.0, 1.0, -0.18, 0.51], "iou0": 0.9000102496259647, "iou": 0.9002599923492648, "res": [[840.0, 915.0, 44.0, 31.0], [739.0, 817.0, 43.0, 35.0], [584.0, 638.0, 29.0, 25.0], [741.0, 818.0, 38.0, 39.0], [724.0, 839.0, 62.0, 53.0]], "hand_fit": {"chamfer0": 0.471146069764492, "chamfer": 0.4397248530286473, "iou0": 0.9007725118551875}}, "20,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, 0.03, 0.0, 0.12, -0.06, -0.008, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.5549999999999999, 0.0, 0.014999999999999986, -0.24, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.202, 0.182, 0.0, -0.492, 0.25499999999999995, 0.0, 0.0, 0.0, 0.0, 0.052, 0.0, 0.0, 0.0, -0.08899999999999997, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, 0.0, -0.03, -0.0375, 0.011, 0.0005000000000000004, 0.0, 0.105, -0.03, 0.21, -0.06, 0.07600000000000001, 0.1905, 0.18, 0.1235, -0.025500000000000002, -0.01799999999999999, -0.0004999999999999935, -0.026, 0.05199999999999999, -0.13099999999999998, 0.16499999999999998, 0.0, 0.10849999999999999, 0.15699999999999997, -0.045, -0.0375, 0.03, 0.79, 0.776, 1.0, 0.7, 0.12, 0.104], "iou0": 0.9025148299179475, "iou": 0.8988658184973083, "res": [[796.0, 877.0, 41.0, 40.0], [641.0, 723.0, 53.0, 29.0], [684.0, 736.0, 32.0, 20.0], [803.0, 894.0, 38.0, 53.0], [774.0, 867.0, 44.0, 49.0]], "hand_fit": {"chamfer0": 0.8541788638180131, "chamfer": 0.7877553156709816, "iou0": 0.8971924557187274}}, "21,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, 0.0, -0.03, 0.0, -0.12, 0.0, 0.03, 0.12, 0.023, 0.0, -0.135, -0.006999999999999992, 0.0, 0.23899999999999993, 0.11199999999999999, -0.06, 0.06, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06999999999999999, -0.020000000000000004, 0.0, 0.45999999999999996, -0.3330000000000001, -0.21800000000000005, 0.0, -0.015, 0.0, 0.06, -0.03, 0.0, 0.105, 0.015000000000000013, 0.0, 0.0, 0.06, 0.0, 0.09, -0.03, 0.0, 0.045, -0.195, -0.135, 0.0, -0.006, 0.0, -0.0075, -0.176, -0.0185, -0.045, 0.0, 0.0, 0.0895, 0.0010000000000000009, 0.04799999999999999, -0.09299999999999997, 0.0, 0.105, 0.07450000000000001, -0.09, -0.0975, 0.03, 0.011, 0.0525, -0.03, 0.040999999999999995, 0.0335, 0.06, 0.011, 0.0, 0.0, 0.0, 1.0, 0.52, 1.2, 1.0, -0.15, 0.134], "iou0": 0.9069021424425612, "iou": 0.9082804790447476, "res": [[852.0, 931.0, 35.0, 44.0], [767.0, 837.0, 40.0, 30.0], [684.0, 741.0, 29.0, 28.0], [626.0, 689.0, 28.0, 35.0], [561.0, 631.0, 38.0, 32.0]], "hand_fit": {"chamfer0": 0.4731986673358984, "chamfer": 0.46847392932059206, "iou0": 0.9082804790447476}}, "21,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.209, 0.0, 0.0, -0.12, 0.24, 0.0, 0.0, 0.0, -0.12, -0.24, 0.0, -0.10399999999999998, -0.127, 0.0, 0.0, 0.0, 0.12, 0.12, 0.12, 0.0, 0.18000000000000002, 0.54, 0.0, 0.009999999999999988, -0.543, -0.33000000000000007, 0.0, 0.0, 0.0, 0.06, -0.15, 0.0, 0.0, -0.24, -0.16499999999999998, 0.03, 0.0, 0.0, -0.022, 0.097, 0.0, -0.075, 0.39, 0.015, -0.003, -0.006, 0.006, -0.045, 0.06, -0.006999999999999999, 0.005999999999999998, 0.014500000000000006, 0.045, 0.2245, 0.0, 0.067, 0.0975, -0.0005000000000000074, 0.0, 0.20950000000000002, 0.195, -0.049, 0.09999999999999998, -0.075, -0.1875, 0.007000000000000006, -0.22249999999999998, 0.0935, 0.1275, 0.015, -0.086, 0.0, -0.109, 0.22000000000000003, 1.02, 1.0, 1.0, -0.24, 0.09], "iou0": 0.8555295892769952, "iou": 0.8469654195366434, "res": [[689.0, 807.0, 74.0, 44.0], [710.0, 810.0, 47.0, 53.0], [612.0, 799.0, 85.0, 102.0], [529.0, 590.0, 31.0, 30.0], [447.0, 491.0, 23.0, 21.0]], "hand_fit": {"chamfer0": 1.0525440581257262, "chamfer": 1.0525440581257262, "iou0": 0.8469654195366434}}, "21,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.06, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, 0.248, 0.0, 0.0, 0.12, -0.18, -0.11199999999999999, 0.0, 0.0, -0.09, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.01999999999999999, 0.56, 0.0, -0.04000000000000004, -0.19300000000000006, -0.04000000000000001, 0.0, 0.0, 0.0, 0.06, 0.006999999999999999, 0.0, -0.13399999999999998, -0.16199999999999998, 0.06, 0.0, 0.0, -0.03, 0.09, -0.195, 0.06, -0.15, 0.067, -0.104, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16049999999999998, 0.0, 0.0, 0.0, 0.15299999999999997, 0.0375, 0.014499999999999992, 0.045, 0.0, 0.11249999999999999, 0.0, 0.206, 0.0265, 0.0005000000000000074, 0.040999999999999995, -0.2559999999999999, 0.13449999999999998, -0.0675, -0.040999999999999995, 0.015, 0.0185, -0.105, -0.18000000000000005, -0.086, 0.29600000000000004, 0.056000000000000036, 0.976, 1.0, -0.27, 0.0], "iou0": 0.8907459510874347, "iou": 0.8854228260315014, "res": [[606.0, 694.0, 54.0, 34.0], [675.0, 752.0, 40.0, 37.0], [671.0, 744.0, 31.0, 42.0], [520.0, 571.0, 13.0, 38.0], [478.0, 546.0, 33.0, 35.0]], "hand_fit": {"chamfer0": 0.5155754874261163, "chamfer": 0.5155754874261163, "iou0": 0.8854228260315014}}, "21,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, -0.03, 0.0, 0.188, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, -0.12, -0.11199999999999999, 0.0, -0.045, -0.01299999999999997, -0.195, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, -0.03, 0.42, 0.0, -0.12500000000000006, 0.03999999999999998, 0.010000000000000023, 0.0, -0.07600000000000001, 0.0, 0.0, -0.315, 0.0, 0.052, 0.08099999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, 0.0, 0.08799999999999997, 0.148, 0.10399999999999998, 0.0, 0.006, 0.006, 0.075, 0.0, 0.09, 0.06, 0.0, -0.06199999999999997, -0.071, 0.03, 0.03, -0.0375, 0.0975, 0.18, 0.05650000000000001, 0.067, 0.06949999999999998, -0.008499999999999987, 0.09999999999999998, 0.016999999999999987, -0.060999999999999985, -0.075, -0.006999999999999999, 0.135, 0.035999999999999976, -0.08949999999999997, -0.0185, 0.010499999999999999, 0.5800000000000001, 0.28, 1.17, 1.0, -0.22399999999999998, -0.3679999999999999], "iou0": 0.875414727387551, "iou": 0.8739120178999027, "res": [[572.0, 673.0, 67.0, 34.0], [677.0, 746.0, 45.0, 24.0], [658.0, 726.0, 29.0, 39.0], [636.0, 711.0, 34.0, 41.0], [530.0, 640.0, 65.0, 45.0]], "hand_fit": {"chamfer0": 0.46935675815594935, "chamfer": 0.46935675815594935, "iou0": 0.8739120178999027}}, "21,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.31499999999999995, 0.0, 0.03, 0.195, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, -0.12, -0.15699999999999997, -0.03, 0.09, -0.21699999999999997, 0.03, 0.0, -0.36, 0.12, -0.06, -0.11199999999999999, -0.12, 2.06, -0.3350000000000001, 0.165, 1.25, -0.37500000000000006, -0.19200000000000006, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.08799999999999997, 0.06, 0.0, 0.0, 0.0, 0.023, 0.075, 0.0, -0.015, 0.29899999999999993, -0.03, 0.0, 0.0, 0.0, 0.191, 0.12, 0.011, 0.08199999999999999, 0.068, 0.011, -0.2975, -0.281, -0.1275, 0.018499999999999996, 0.0, 0.0, -0.05550000000000001, 0.06849999999999995, 0.0, -0.03299999999999999, -0.026, 0.11999999999999994, 0.13499999999999998, -0.021999999999999992, 0.16450000000000004, 0.21749999999999997, 0.0, -0.05650000000000001, -0.06, 0.015, 0.35600000000000004, 1.0, 1.02, 1.0, -0.088, -0.374], "iou0": 0.833151682568578, "iou": 0.8144576016237156, "res": [[596.0, 723.0, 65.0, 62.0], [699.0, 828.0, 43.0, 86.0], [766.0, 909.0, 54.0, 89.0], [702.0, 846.0, 68.0, 76.0], [624.0, 753.0, 57.0, 72.0]], "hand_fit": {"chamfer0": 1.0879483600568498, "chamfer": 1.0879483600568498, "iou0": 0.8144576016237156}}, "22,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.06699999999999999, 0.0, 0.0, -0.03, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.24, -0.12, 0.0, 0.375, 0.045, 0.015, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.025, 0.4149999999999999, 0.0, 0.07, -0.088, 0.8930000000000001, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.09, 0.21, 0.015, -0.03, 0.0, 0.0, 0.12, 0.18, 0.0, 0.06, -0.067, 0.12, 0.0, 0.0, -0.006, 0.0, 0.0, 0.0, -0.006999999999999992, 0.0, 0.0, 0.0, 0.0525, -0.040999999999999995, -0.026, -0.006999999999999895, 0.0, -0.083, -0.093, 0.11599999999999999, 0.296, 0.0075, 0.12, 0.0335, -0.0895, -0.0075, 0.0, -0.12, -0.0975, 0.071, -0.03, 0.9700000000000001, 0.76, 1.0, 0.928, 0.21, 0.22399999999999998], "iou0": 0.9078511658261823, "iou": 0.9026823111350101, "res": [[781.0, 859.0, 30.0, 48.0], [789.0, 863.0, 42.0, 32.0], [673.0, 721.0, 24.0, 24.0], [571.0, 632.0, 27.0, 34.0], [686.0, 776.0, 34.0, 56.0]], "hand_fit": {"chamfer0": 1.0135865608091355, "chamfer": 0.9716427196715728, "iou0": 0.9036802191232856}}, "21,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.23299999999999998, -0.052, -0.12, -0.06, 0.04299999999999997, 0.15, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.128, 0.0, 0.075, -0.075, -0.12, 0.008, 0.128, 0.12, 0.0, 0.08799999999999997, -0.12, 1.2049999999999998, 0.7250000000000001, -1.1500000000000004, 1.1029999999999998, 0.621, -1.3250000000000004, 0.0, -0.12, 0.0, 0.0, -0.3, 0.0, 0.06, 0.09, 0.015, 0.0, 0.0, 0.0, 0.023, 0.0, 0.008, 0.0, 0.44799999999999995, -0.12, 0.0, 0.0, 0.0, 0.0975, 0.15, 0.31449999999999995, -0.0225, -0.0675, 0.0, -0.16150000000000003, -0.35, -0.05199999999999999, -0.097, 0.0, -0.0010000000000000009, 0.056, 0.32749999999999996, 0.0, 0.09, 0.0335, 0.0, 0.06, 0.045, 0.026, 0.15599999999999997, 0.03, 0.03, 0.09, -0.002999999999999961, 0.52, 1.0, 1.03, 1.2, -0.3999999999999999, 0.0], "iou0": 0.8266518989550897, "iou": 0.8096975425642047, "res": [[655.0, 810.0, 99.0, 56.0], [724.0, 887.0, 95.0, 68.0], [741.0, 843.0, 45.0, 57.0], [644.0, 763.0, 46.0, 73.0], [542.0, 685.0, 83.0, 60.0]], "hand_fit": {"chamfer0": 1.146199261796816, "chamfer": 1.03193551371699, "iou0": 0.8093558455333592}}, "22,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.03, 0.038, 0.0, -0.09, 0.09, 0.0, 0.0, 0.12, 0.18, 0.0, 0.06, -0.12, 0.089, 0.0, -0.188, 0.20999999999999996, 0.12, 0.0, 0.008, 0.0, 0.0, 0.0, 0.0, 0.0, -0.19800000000000004, 0.0, -0.16500000000000004, -0.08500000000000013, 0.23500000000000004, 0.0, 0.008, 0.0, 0.052, 0.23199999999999998, 0.0, 0.068, 0.03, 0.15, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.12, 0.0, 0.11199999999999999, 0.0, -0.006, 0.0, 0.026, 0.2599999999999999, 0.014500000000000006, 0.06699999999999995, 0.057999999999999996, -0.07799999999999993, -0.08949999999999997, 0.07499999999999998, 0.026, 0.045, 0.22799999999999998, 0.03999999999999998, -0.1955, -0.0375, 0.13799999999999993, 0.16399999999999998, -0.011, -0.142, 0.0, -0.086, 0.059, 0.075, 0.045, 0.075, 0.12749999999999997, -0.0675, 1.12, 0.040000000000000036, 1.0, 1.044, 0.03399999999999995, -0.16399999999999998], "iou0": 0.8628148559389446, "iou": 0.8566557833887897, "res": [[443.0, 516.0, 16.0, 57.0], [572.0, 655.0, 24.0, 59.0], [659.0, 764.0, 49.0, 56.0], [667.0, 782.0, 38.0, 77.0], [679.0, 781.0, 54.0, 48.0]], "hand_fit": {"chamfer0": 0.9231002231300988, "chamfer": 0.8986874964048928, "iou0": 0.8567864559332552}}, "22,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.194, -0.023, 0.067, -0.03, 0.015, 0.03, 0.0, 0.24, -0.09, 0.0, 0.15, 0.0, 0.03, 0.0, 0.09, -0.135, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015, 0.0, 0.05, 0.192, 0.025, -0.04, -0.22000000000000003, -0.005000000000000018, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.11199999999999999, -0.105, -0.11199999999999999, -0.06, 0.0, 0.0, 0.12, 0.0, 0.0, 0.21699999999999997, -0.27699999999999997, -0.015, 0.0, -0.006, 0.006, 0.015, 0.09, 0.19399999999999998, -0.021999999999999992, 0.0, 0.0225, -0.067, 0.2735, 0.0155, 0.007500000000000014, 0.0, 0.0, -0.06, -0.135, 0.045, 0.33499999999999996, 0.16499999999999998, 0.0, -0.045, -0.18, 0.18, 0.21000000000000005, 0.0, -0.10849999999999999, 0.0045000000000000005, -0.16499999999999995, 1.0, 0.28, 1.0, 1.0, 0.22399999999999998, -0.18], "iou0": 0.8774959557665426, "iou": 0.87711352133806, "res": [[673.0, 773.0, 48.0, 52.0], [676.0, 750.0, 33.0, 41.0], [617.0, 704.0, 36.0, 51.0], [637.0, 726.0, 47.0, 42.0], [649.0, 750.0, 58.0, 43.0]], "hand_fit": {"chamfer0": 0.8383500277368559, "chamfer": 0.7382920676104471, "iou0": 0.8742557668014141}}, "22,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.015, 0.12, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.27699999999999997, 0.0, 0.0, -0.45699999999999996, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.005000000000000039, 0.0, -0.15000000000000002, -0.325, 0.3749999999999999, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, -0.12, -1.3877787807814457e-17, 0.12, 0.09, 0.03, 0.0, -0.03, 0.037, 0.0, 0.023, 0.0, -0.015, 0.006, 0.0, 0.0, -0.13249999999999998, -0.15499999999999997, 0.0, 0.045, 0.0, 0.075, 0.0005000000000000074, -0.026, 0.09, 0.10099999999999999, 0.11549999999999999, 0.24, -0.075, -0.07849999999999999, 0.052499999999999984, 0.1945, -0.09, -0.21, 0.11249999999999999, -0.11599999999999999, 0.10799999999999998, 0.0, 0.008, 0.097, 0.11599999999999999, -0.06699999999999998, 0.040000000000000036, 0.28, 0.8660000000000001, 1.0, -0.074, -0.104], "iou0": 0.8459337578600881, "iou": 0.8441678001621522, "res": [[528.0, 622.0, 39.0, 55.0], [593.0, 703.0, 43.0, 67.0], [654.0, 790.0, 65.0, 71.0], [664.0, 781.0, 53.0, 64.0], [618.0, 719.0, 54.0, 47.0]], "hand_fit": {"chamfer0": 0.8617089841734777, "chamfer": 0.8399494873587381, "iou0": 0.8444669158404814}}, "22,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.12, 0.12, -0.015, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, 0.068, 0.0, 0.075, -0.20199999999999999, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.119, 0.0, -0.19499999999999998, -0.11500000000000002, 0.24999999999999997, 0.0, 0.0, 0.0, 0.03, 0.09, 0.0, 0.015, -0.052, 0.188, 0.12, 0.0, 0.0, -0.12, 0.15, 0.0, -0.044, 0.16399999999999998, 0.008, 0.006, -0.006, 0.0, -0.15699999999999997, -0.10999999999999999, 0.0, 0.0, 0.006499999999999985, 0.03, 0.015, 0.16499999999999998, 0.03, 0.0, 0.022500000000000013, 0.045, 0.0005000000000000074, -0.079, 0.0225, 0.15, 0.0155, 0.08199999999999999, 0.0335, 0.006999999999999951, 0.0, 0.0005000000000000074, 0.055999999999999994, 0.0, 0.0, -0.03, 0.040000000000000036, 0.17600000000000005, 0.49000000000000005, 1.0, -0.48, -0.20799999999999996], "iou0": 0.831268901016438, "iou": 0.8333433449791133, "res": [[609.0, 718.0, 57.0, 52.0], [631.0, 779.0, 74.0, 74.0], [671.0, 808.0, 60.0, 77.0], [668.0, 788.0, 60.0, 60.0], [628.0, 751.0, 67.0, 56.0]], "hand_fit": {"chamfer0": 1.5537851004445953, "chamfer": 1.5521374575858573, "iou0": 0.833107120265735}}, "22,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.128, -0.24, 0.0, 0.12, -0.24, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.105, 0.0, -0.11199999999999999, 0.03, 0.142, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, 0.0, -0.09, 0.0, -0.4, -0.07399999999999998, -0.04, 0.0, 0.0, 0.0, 0.045, 0.015, 0.0, -0.075, -0.19499999999999995, 0.03, 0.0, 0.06, 0.0, 0.12, -0.03, 0.0, 0.09, -0.12, 0.0, 0.012, 0.0, 0.0, -0.15000000000000002, -0.055999999999999994, 0.04549999999999999, 0.055999999999999994, 0.0, 0.0, -0.06, 0.0075, -0.015, -0.011, 0.0, 0.03, -0.0185, 0.0375, -0.023000000000000007, -0.014999999999999958, -0.045, 0.0, 0.015499999999999993, 0.03299999999999999, 0.010999999999999996, -0.063, -0.006999999999999992, -0.06, -0.21, 0.0, 0.05600000000000005, 0.010000000000000037, 1.0, 1.016, -0.32999999999999996, 0.0], "iou0": 0.8279990765073111, "iou": 0.8310413410861539, "res": [[649.0, 756.0, 45.0, 62.0], [722.0, 856.0, 53.0, 81.0], [750.0, 915.0, 85.0, 80.0], [698.0, 828.0, 69.0, 61.0], [630.0, 771.0, 83.0, 58.0]], "hand_fit": {"chamfer0": 1.04950696204039, "chamfer": 1.04950696204039, "iou0": 0.8310413410861539}}, "3,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.07399999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12500000000000003, 0.0, 0.05, -0.5539999999999998, 0.24999999999999997, -0.279, 0.0, 0.0, 0.0, 0.09, -0.008, -0.015, -0.16499999999999998, -0.11199999999999999, 0.028999999999999998, 0.0, 0.0, 0.0, 0.06, 0.12, 0.0, -0.12, 0.255, 0.0, 0.0, 0.0, 0.0, -0.06, -0.19449999999999998, 0.06, 0.15349999999999997, 0.003000000000000058, 0.020499999999999987, 0.13799999999999998, -0.0935, 0.0, 0.0, 0.0, 0.0, -6.938893903907228e-18, -0.11599999999999999, -0.019, 0.0635, 0.03, 0.142, 0.015, 0.015, -1.3877787807814457e-17, 0.12, 0.0, 0.0, 0.015, -0.1725, 1.2, 1.0, 1.0, 1.2, -0.09, -0.06], "iou0": 0.8926615482522383, "iou": 0.8919366930442386, "res": [[718.0, 782.0, 32.0, 32.0], [724.0, 809.0, 39.0, 46.0], [696.0, 805.0, 37.0, 72.0], [701.0, 798.0, 42.0, 55.0], [685.0, 752.0, 38.0, 29.0]], "hand_fit": {"chamfer0": 0.593324303557279, "chamfer": 0.593324303557279, "iou0": 0.8919366930442386}}, "3,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.0, 0.0, 0.0, 0.089, 0.0, -0.03, 0.0, 0.045, 0.0, -0.06, 0.03, 0.0, -0.015, 0.0, 0.172, -0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.095, -0.23, -0.025, -0.07300000000000001, 0.3500000000000001, 0.15000000000000002, 0.0, -0.03, 0.0, 0.03, 0.015, 0.0, 0.068, -0.009000000000000036, 0.075, 0.0, 0.03, 0.0, 0.0, -0.09, 0.0, 0.09, 0.06, -0.16499999999999998, 0.0, 0.0, 0.0, 0.0075, -0.026, -0.015, 0.022, -0.060000000000000005, 0.12, 0.15749999999999997, -0.10849999999999999, 0.11599999999999999, -0.075, 0.0, -0.015, 0.1125, 0.131, 0.06, -0.16849999999999993, 0.03, -0.040999999999999995, -0.10099999999999999, -0.15, 0.12000000000000001, 0.015, 0.0185, 0.0, -0.021999999999999992, -0.08799999999999997, 0.8360000000000001, 1.0, 1.0, 1.0, 0.07400000000000001, -0.013999999999999999], "iou0": 0.8965046091011388, "iou": 0.8962313415205289, "res": [[757.0, 823.0, 32.0, 34.0], [634.0, 711.0, 33.0, 44.0], [594.0, 688.0, 41.0, 53.0], [712.0, 784.0, 42.0, 30.0], [717.0, 792.0, 46.0, 29.0]], "hand_fit": {"chamfer0": 1.080881093942929, "chamfer": 0.9776485225657083, "iou0": 0.8963179710917609}}, "3,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, -0.12, -0.105, -0.03, -0.12, -0.06, 0.06, 0.0, 0.0, 0.0, 0.0, -0.5469999999999999, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.0, 0.0, -0.008, 0.0, 0.155, 0.025, 0.0, -0.5430000000000001, 0.22400000000000003, -0.10200000000000001, 0.03, 0.0, 0.0, 0.0, 0.0, -0.03, -0.09, 0.12, 0.03, 0.0, 0.0, 0.0, 0.08400000000000002, -0.023, 0.0, -0.083, -0.036, 0.06, 0.0, 0.0, 0.0, 0.0375, -0.15299999999999997, 0.040999999999999995, 0.037499999999999985, -0.007000000000000006, 0.0, 0.15, -0.18, -0.027999999999999973, -0.041999999999999954, 0.191, 0.012499999999999987, 0.0185, 0.0335, 0.16100000000000003, -0.12000000000000002, 0.0, 0.045, -0.16499999999999998, -0.21000000000000002, -0.0375, 0.2769999999999999, -0.11299999999999999, 0.03899999999999999, -0.03, -0.10499999999999998, 1.2, 0.4, 1.0, 1.018, 0.074, -0.24], "iou0": 0.8922720798058975, "iou": 0.8946071844284591, "res": [[739.0, 820.0, 30.0, 51.0], [685.0, 745.0, 27.0, 33.0], [640.0, 735.0, 35.0, 60.0], [708.0, 790.0, 37.0, 45.0], [707.0, 791.0, 35.0, 49.0]], "hand_fit": {"chamfer0": 0.7515245653358755, "chamfer": 0.7680561069398293, "iou0": 0.8886586967225053}}, "3,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.06, 0.0, -0.12, 0.27, 0.0, -0.12, 0.0, 0.06, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.54, -0.12, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.009999999999999995, -0.43399999999999994, -0.1, 0.32199999999999995, 0.35000000000000003, 0.5, 0.0, 0.0, 0.0, 0.06, 0.203, 0.0, -0.12, -0.082, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.044, -0.027999999999999997, 0.0, 0.0, 0.0, 0.006, -0.0525, 0.0, -0.11350000000000002, -0.09299999999999997, 0.05199999999999999, 0.12, -0.10449999999999998, 0.0, 0.13499999999999998, 0.0, 0.0, 0.075, -0.07449999999999998, -0.0225, 0.014500000000000006, 0.0, 0.0, 0.0, 0.0485, -0.026, -0.07100000000000001, 0.16849999999999998, -0.015, -0.08449999999999999, 0.0, -0.052, 1.0, 1.0, 0.76, 1.0, -0.03, 0.0], "iou0": 0.8977159650694064, "iou": 0.8963416290152295, "res": [[666.0, 726.0, 22.0, 38.0], [629.0, 708.0, 35.0, 44.0], [780.0, 884.0, 47.0, 57.0], [765.0, 846.0, 34.0, 47.0], [684.0, 758.0, 32.0, 42.0]], "hand_fit": {"chamfer0": 0.994427371462287, "chamfer": 0.9466940488614227, "iou0": 0.896456917962572}}, "3,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.128, 0.0, 0.0, -0.03, -0.037, 0.0, -0.12, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, -0.015, 0.06, -0.015, 0.0, 0.0, 0.0, -0.015, -0.05, 0.015, -0.092, -0.08300000000000002, 0.30600000000000005, 0.48399999999999993, 0.0, -0.12, 0.0, 0.09, 0.075, 0.0, 0.11299999999999999, 0.08999999999999998, 0.21, 0.0, 0.03, 0.0, 0.08199999999999999, 0.06, 0.0, 0.0, 0.052, -0.03, 0.0, 0.0, 0.0, 0.07849999999999999, -0.03699999999999999, 0.038000000000000006, 0.067, 0.0, -0.08249999999999999, 0.0, -0.0485, -0.011, 0.12, 0.004999999999999977, 0.022, 0.0, -0.015, -0.09699999999999998, 0.0525, 0.06899999999999999, 0.15, 0.0, -0.142, 0.078, 0.277, 0.0, -0.071, -0.03, -0.019, 1.0, 1.0, 1.17, 1.0, 0.22399999999999998, 0.0], "iou0": 0.8978248255083419, "iou": 0.8944334973058033, "res": [[753.0, 825.0, 31.0, 41.0], [666.0, 744.0, 40.0, 38.0], [681.0, 790.0, 48.0, 61.0], [724.0, 791.0, 26.0, 41.0], [708.0, 781.0, 30.0, 43.0]], "hand_fit": {"chamfer0": 1.1673371645045574, "chamfer": 1.0524369710986352, "iou0": 0.8944324308632069}}, "3,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.03, 0.0, -0.068, 0.39, 0.03, -0.12, -0.12, 0.0, 0.0, 0.052, 0.0, 0.0, 0.0, 0.06, 0.24, 0.0, -0.127, 0.0, 0.0, 0.0, -0.12, -0.06, 0.0, 0.09499999999999999, 0.07199999999999998, -0.21999999999999997, -0.309, 0.15000000000000002, 0.04000000000000001, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.045, 0.0, 0.0, 0.06, 0.0, 0.12, 0.0, 0.0, 0.0, -0.075, -0.03, 0.0, -0.006, -0.006, 0.011, -0.0675, 0.096, -0.048, 0.0, 0.0225, 0.0525, 0.03, -0.10099999999999999, 0.011, 0.0, -1.3877787807814457e-17, -0.105, 0.022, 0.0485, 0.0, 0.0, -0.09, 0.05949999999999998, 0.052, 0.0, -0.022, 0.07449999999999998, 0.082, 0.011, -0.06, 1.0, 0.78, 0.94, 1.0, 0.09, -0.09], "iou0": 0.8963740405205451, "iou": 0.8946205341942504, "res": [[718.0, 784.0, 25.0, 41.0], [640.0, 723.0, 38.0, 45.0], [742.0, 834.0, 33.0, 59.0], [743.0, 822.0, 29.0, 50.0], [653.0, 735.0, 30.0, 52.0]], "hand_fit": {"chamfer0": 1.0409967939553384, "chamfer": 0.9910458778742826, "iou0": 0.8936441283467621}}, "3,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, -0.015, -0.034999999999999996, 0.147, -0.05, -0.357, 0.16699999999999998, -0.04699999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12000000000000001, -0.023, -0.15, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, -0.03, -0.083, -0.12, 0.006, 0.0, 0.0, -0.040499999999999994, 0.0185, 0.105, 0.0, 0.0, 0.0, 0.16799999999999998, -0.18249999999999994, 0.0, 0.0, 0.105, 0.0, -0.09, 0.03, 0.08249999999999999, 0.27499999999999997, 0.112, -0.16499999999999998, -0.0075, 0.0, 0.0, 0.14749999999999996, 0.1005, -0.0075, -0.08249999999999999, -0.12, 1.0, 0.5800000000000001, 1.0, 1.0, 0.344, 0.013999999999999999], "iou0": 0.8947164238358496, "iou": 0.8946533632960835, "res": [[761.0, 825.0, 23.0, 41.0], [695.0, 763.0, 34.0, 34.0], [651.0, 726.0, 25.0, 50.0], [662.0, 771.0, 52.0, 57.0], [673.0, 753.0, 37.0, 43.0]], "hand_fit": {"chamfer0": 1.416968928009961, "chamfer": 1.3921091765175564, "iou0": 0.8946080349157184}}, "3,8": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.07399999999999998, 0.0, 0.0, 0.015, 0.0, -0.052, -0.135, 0.0, 0.0, -0.23199999999999998, 0.0, 0.12, -0.015, 0.0, 0.0, -0.03, -0.015, 0.0, 0.0, 0.0, 0.08000000000000002, 0.11000000000000001, 0.0, -0.5500000000000002, 0.30000000000000004, -0.135, 0.0, 0.0, 0.0, 0.06, 0.015, 0.0, -0.022, -0.037, 0.0, 0.0, 0.075, 0.0, 0.09, -0.03, 0.0, 0.09, 0.015000000000000013, 0.0, 0.0, 0.0, 0.0, -0.07099999999999998, -0.055999999999999994, 0.0, -0.010000000000000005, 1.3877787807814457e-17, 0.0, 0.12, -0.03, 4.163336342344337e-17, -0.011, 0.0185, 0.0, -0.052000000000000005, -0.16449999999999998, -0.11250000000000002, 0.21349999999999997, 0.0485, -0.007500000000000014, 0.0155, 0.13849999999999996, 0.0075, 0.05199999999999999, 0.08249999999999999, 0.12, -0.028999999999999984, -0.03, 1.0, 1.0, 1.0, 1.0, -0.47800000000000004, 0.12], "iou0": 0.9008662620569045, "iou": 0.9009246620612925, "res": [[758.0, 838.0, 34.0, 46.0], [730.0, 810.0, 44.0, 36.0], [706.0, 794.0, 44.0, 44.0], [708.0, 785.0, 34.0, 43.0], [716.0, 781.0, 27.0, 38.0]], "hand_fit": {"chamfer0": 0.49190831728352896, "chamfer": 0.478894520700058, "iou0": 0.9009246620612925}}, "3,7": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.105, 0.0, -0.12, -0.06, 0.0, -0.18, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.232, 0.03, 0.255, 0.015, -0.014999999999999986, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.2, 0.095, -0.025, -0.5500000000000002, 0.24500000000000002, -0.32, 0.0, 0.03, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.075, 0.0, 0.0, 0.0, -0.253, -0.031, 0.0, 0.0, 0.0, 0.0635, 0.0375, 0.0, -0.0075, 0.0005000000000000143, 0.0, 0.07100000000000001, 0.075, -0.05899999999999998, -0.0005000000000000004, 0.0075, 0.0525, 0.011000000000000027, -0.1535, 0.11199999999999999, 0.2484999999999999, 0.026, -0.32749999999999996, -0.010499999999999992, 0.18, 0.0, 0.12299999999999997, 0.04799999999999999, 0.0075, -0.0075, -0.055999999999999994, 1.0, 0.67, 0.8960000000000001, 1.0, 0.22399999999999998, 0.011999999999999997], "iou0": 0.9061209019059995, "iou": 0.9033483948429912, "res": [[754.0, 817.0, 22.0, 41.0], [683.0, 765.0, 52.0, 30.0], [611.0, 678.0, 34.0, 33.0], [679.0, 741.0, 25.0, 37.0], [706.0, 769.0, 28.0, 35.0]], "hand_fit": {"chamfer0": 1.1702251650824311, "chamfer": 1.189638280011327, "iou0": 0.9021279599693616}}, "30,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.135, 0.127, 0.0, -0.15699999999999997, 0.254, 0.0, -0.12, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, -0.052, 0.0, 0.015, -0.5019999999999999, 0.22499999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.0, 0.009999999999999995, 0.22999999999999998, -0.025, 0.0, -0.03, 0.0, 0.06, -0.06, 0.0, 0.015, 0.11199999999999999, 0.0, 0.0, 0.0, 0.0, 0.06, 0.045, 0.0, 0.0, 0.32199999999999995, 0.0, 0.0, -0.006, 0.006, 0.0375, -0.13099999999999995, 0.0, -0.015, 0.015, 0.0, 0.10500000000000001, 0.11249999999999999, -0.0485, -0.0809999999999999, 0.1425, 0.09, 0.0635, -0.07799999999999999, -0.0075, 0.018500000000000003, 0.05249999999999999, -0.0335, -0.18299999999999997, -0.023, 0.0, 0.0525, 0.0004999999999999935, 0.06699999999999998, 0.048499999999999995, -0.09, 0.8500000000000001, 0.17600000000000005, 1.0, 1.0, 0.0, 0.0], "iou0": 0.9018574961727743, "iou": 0.9039275550308343, "res": [[753.0, 834.0, 39.0, 42.0], [598.0, 645.0, 26.0, 21.0], [752.0, 847.0, 39.0, 56.0], [774.0, 865.0, 36.0, 55.0], [730.0, 802.0, 33.0, 39.0]], "hand_fit": {"chamfer0": 0.4547842357251132, "chamfer": 0.4477394668627449, "iou0": 0.9039275550308343}}, "30,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.16499999999999998, 0.0, 0.0, 0.202, 0.0, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, -0.14200000000000002, 0.0, 0.23199999999999998, -0.37399999999999994, 0.03, 0.0, 0.0, -0.03, -0.008, 0.0, 0.0, -0.03, 0.135, 0.0, -0.392, -0.045000000000000005, 0.327, 0.0, 0.0, 0.0, 0.03, -0.06, 0.0, 0.09, 0.009000000000000008, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.015, 0.16499999999999998, -0.12, 0.0, 0.0, -0.018000000000000002, 0.0, -0.0049999999999999906, -0.026, 0.0225, 0.07550000000000001, 0.0, 0.005999999999999998, -0.014499999999999999, 0.0, -0.0075, 1.3877787807814457e-17, 0.012999999999999977, 0.146, 0.0075, -0.0485, 0.0, 0.06, 0.03, -0.2165, -0.015, -0.0675, -0.010499999999999999, 0.24299999999999994, 0.0, -0.0675, 0.015, -0.086, 0.75, 0.984, 1.0, 1.0, 0.0, -0.12], "iou0": 0.887388596823399, "iou": 0.8895228302146274, "res": [[674.0, 742.0, 30.0, 38.0], [630.0, 693.0, 30.0, 33.0], [740.0, 846.0, 56.0, 50.0], [737.0, 832.0, 38.0, 57.0], [678.0, 778.0, 58.0, 42.0]], "hand_fit": {"chamfer0": 0.561615873335994, "chamfer": 0.5555263428163577, "iou0": 0.8895228302146274}}, "3,9": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.03, 0.0, 0.016, -0.13399999999999998, -0.008, 0.0, -0.015, 0.12, -0.12, -0.03, -0.03, 0.0, 0.067, 0.0, 0.015, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.135, -0.13899999999999998, 0.060000000000000005, -0.635, 0.36999999999999994, -0.43700000000000006, 0.0, 0.0, 0.0, 0.06, -0.015, 0.0, -0.135, -0.16499999999999998, 0.0, 0.0, 0.12, 0.0, 0.09, 0.075, -0.015, -0.30800000000000005, 0.03, -0.045, 0.0, 0.0, 0.0, 0.0, -0.33849999999999997, 0.0375, 0.1275, 0.0, 0.0, 0.1795, -0.10849999999999999, -0.03, -0.17200000000000001, 0.11449999999999996, 0.105, 0.0, 0.1425, 0.03699999999999999, -0.06, 0.0, -0.16499999999999998, 0.0075, 0.0225, 0.075, 0.0635, 0.1269999999999999, 2.0816681711721685e-17, 0.0, -0.11149999999999999, 1.0, 0.52, 0.9720000000000002, 1.09, 0.016, 0.284], "iou0": 0.8975143238635604, "iou": 0.8952112591022668, "res": [[712.0, 774.0, 29.0, 33.0], [743.0, 838.0, 47.0, 48.0], [703.0, 817.0, 39.0, 75.0], [700.0, 778.0, 38.0, 40.0], [710.0, 765.0, 39.0, 16.0]], "hand_fit": {"chamfer0": 0.4321198622726655, "chamfer": 0.3628546381846786, "iou0": 0.8947299403374934}}, "30,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.03, 0.0, 0.18, 0.142, 0.015, 0.0, 0.0, 0.06, -0.06, 0.0, -0.12, -0.06, -0.24, 0.0, 0.48, -0.075, 0.03, -0.09, 0.0, 0.0, 0.0, 0.105, 0.0, -0.145, 0.05800000000000001, -0.07500000000000001, 0.1, -0.22500000000000003, 0.8910000000000001, 0.0, 0.0, 0.0, 0.06, 0.09, 0.0, 0.0, -0.12, 0.18, 0.0, 0.0, 0.0, 0.06, -0.18, 0.06, 0.03, -0.20999999999999996, -0.12, 0.0, 0.0, 0.0, -0.10449999999999998, 0.13399999999999998, 0.015, 0.019000000000000006, 0.052500000000000005, 0.14999999999999997, 0.0, 0.0, -0.05199999999999999, 0.03, 0.0, 0.006999999999999999, -0.0054999999999999945, -0.048, 0.038, 0.045, 0.03, -0.10849999999999999, 0.0075, -0.1195, 0.11599999999999999, 0.026, -0.055999999999999994, -0.0935, 0.0, -0.06, 0.29600000000000004, 1.0, 1.03, 1.0, 0.24, -0.12], "iou0": 0.8938833191068006, "iou": 0.8930605423401407, "res": [[646.0, 704.0, 33.0, 25.0], [797.0, 896.0, 53.0, 46.0], [780.0, 880.0, 47.0, 53.0], [657.0, 738.0, 42.0, 39.0], [553.0, 621.0, 37.0, 31.0]], "hand_fit": {"chamfer0": 0.6447238716523038, "chamfer": 0.6378655855037731, "iou0": 0.8912664758948268}}, "30,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, 0.0, 0.09, -0.016, 0.0, 0.12, -0.36, -0.12, 0.0, -0.36, 0.0, 0.0, 0.5549999999999999, 0.0, 0.021999999999999992, 0.0, 0.03699999999999999, -0.008, 0.0, 0.0, 0.0, 0.12, 0.0, -0.05, -0.14, -0.05, 0.31000000000000005, -0.6000000000000001, 0.020000000000000025, 0.0, 0.0, 0.0, 0.03, -0.03, -0.03, 0.12, -0.39, 0.08299999999999999, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.15, 0.105, 0.0, -0.006, 0.0, 0.0225, 0.03, 0.06, 0.0, 0.0, 0.0, 0.052, 0.03, 0.0, 0.0, -1.3877787807814457e-17, 0.14199999999999996, 0.33099999999999996, -0.011500000000000007, 0.06, 0.0485, -0.0225, -0.1425, 0.015000000000000013, -0.026, 0.0, 0.217, -0.0075, -0.16499999999999998, -0.040499999999999994, -0.11249999999999999, 1.0, 0.76, 1.0, 1.0, 0.21, 0.044], "iou0": 0.8763063484119351, "iou": 0.8746113841254379, "res": [[610.0, 697.0, 50.0, 37.0], [698.0, 810.0, 62.0, 50.0], [755.0, 868.0, 50.0, 63.0], [689.0, 769.0, 43.0, 37.0], [611.0, 695.0, 38.0, 46.0]], "hand_fit": {"chamfer0": 0.6257264979178021, "chamfer": 0.6257264979178021, "iou0": 0.8746113841254379}}, "30,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.06, 0.36, -0.008, 0.0, -0.12, 0.0, -0.12, -0.12, 0.0, -0.12, 0.035, -0.015, 0.0, 0.0, -0.24, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, -0.009999999999999995, 0.0, 0.275, -0.5000000000000001, -0.11399999999999998, 0.0, 0.0, 0.0, 0.03, 0.06, -0.03, 0.03, -0.04499999999999999, -0.008, 0.0, 0.0, 0.0, 0.03, -0.18, 0.03, 0.08199999999999999, -0.112, -0.18, 0.0, -0.006, 0.0, 0.045, 0.086, 0.11199999999999999, 0.08199999999999998, 0.0, 0.0, 0.10499999999999998, 0.03, 0.06, 0.026, 0.06649999999999998, 0.06, 0.32549999999999996, -0.0635, 0.006999999999999999, 0.131, 0.09, -0.06599999999999998, 0.0, 0.034, 0.1425, 0.1275, 0.146, -0.07849999999999999, 0.0, 0.0, 1.0, 0.056000000000000036, 1.0, 1.184, 0.0, 0.12], "iou0": 0.8676312246522953, "iou": 0.8637546410509153, "res": [[696.0, 788.0, 53.0, 39.0], [649.0, 726.0, 52.0, 25.0], [730.0, 872.0, 72.0, 70.0], [741.0, 868.0, 67.0, 60.0], [669.0, 768.0, 62.0, 37.0]], "hand_fit": {"chamfer0": 0.45925275557323586, "chamfer": 0.4325269731575899, "iou0": 0.8638356050190268}}, "31,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, -0.045, 0.435, 0.12, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.158, -0.135, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.16199999999999998, 0.025, -0.23700000000000002, 0.095, -0.19499999999999998, 0.0, 0.0, 0.0, 0.052, -0.15, 0.0, 0.045, -0.187, 0.0, 0.0, 0.0, 0.0, 0.06, -0.15, 0.0, 0.06, 0.3, -0.045, 0.0, 0.0, 0.0, -0.28850000000000003, -0.105, 0.0, 0.006999999999999999, 0.26999999999999996, 0.08249999999999999, 0.0225, -0.0005000000000000004, 0.0, -0.04799999999999999, 0.045, 0.07799999999999999, 0.18, -0.0115, 0.045, -0.006999999999999999, 0.0, -0.04799999999999999, -0.1725, -0.15, 0.049, -0.05650000000000001, 0.045, -0.055999999999999994, -0.236, -0.03, 1.0200000000000002, 0.19000000000000003, 1.0, 1.17, -0.194, 0.06], "iou0": 0.8902227852391356, "iou": 0.8902108379517664, "res": [[667.0, 751.0, 31.0, 53.0], [652.0, 720.0, 23.0, 45.0], [791.0, 915.0, 55.0, 69.0], [786.0, 860.0, 38.0, 36.0], [651.0, 737.0, 38.0, 48.0]], "hand_fit": {"chamfer0": 0.4291951527762591, "chamfer": 0.4150695039877226, "iou0": 0.8895483144380533}}, "31,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.060000000000000005, 0.12, 0.0, 0.18, 0.21, 0.075, 0.0, 0.0, 0.0, 0.0, 0.06, 0.06, 0.0, -0.21, 0.0, 0.277, 0.0, 0.3, 0.0, 0.0, 0.0, 0.06, 0.0, 0.0, 0.0, -0.06, 0.025, 0.15, 0.27, -0.15000000000000008, 0.0, -0.015, 0.0, 0.105, 0.015, 0.0, 0.105, 0.112, 0.12, 0.023, 0.015, 0.0, -0.015, -0.016, 0.0, 0.135, 0.0, 0.18, 0.0, -0.009000000000000001, 0.0, -0.245, -0.18, 0.0, -0.010499999999999992, 0.0049999999999999906, 0.0675, -0.09999999999999998, -0.076, -0.10099999999999998, 1.3877787807814457e-17, 0.0225, 0.165, 0.10499999999999998, 0.07499999999999998, 0.026, 0.06349999999999997, -0.045, 0.0075, 0.068, -0.068, 0.03, -0.015, 0.10449999999999998, -0.0185, 0.022, -0.0925, 1.0, 0.8200000000000001, 0.99, 1.14, -0.18, 0.0], "iou0": 0.89259213454825, "iou": 0.8924924472489246, "res": [[688.0, 762.0, 36.0, 38.0], [649.0, 703.0, 28.0, 26.0], [827.0, 928.0, 51.0, 50.0], [799.0, 901.0, 60.0, 42.0], [659.0, 760.0, 58.0, 43.0]], "hand_fit": {"chamfer0": 0.5004637867444114, "chamfer": 0.39592294000670375, "iou0": 0.893046692202392}}, "31,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.23199999999999998, 0.0, -0.03, 0.15, -0.008, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.142, 0.06, -0.044000000000000004, -0.22499999999999998, 0.09, 0.0, 0.18, 0.0, -0.12, -0.06, 0.0, 0.12, -0.06999999999999999, -0.05, 0.016999999999999994, 0.31700000000000006, -0.14, 0.0, -0.03, 0.0, 0.068, 0.008, 0.0, 0.045, -0.10199999999999995, 0.008, 0.0, 0.03, 0.0, 0.06, 0.15, 0.0, 0.03, 0.24, 0.07399999999999998, 0.0, 0.0, 0.0, -0.11249999999999999, -0.1275, 0.03699999999999999, -0.15, -0.0010000000000000148, 0.06, 0.0, 0.06, 0.06, 0.0635, -0.015, 0.16349999999999998, 0.2965, -0.0155, -0.034, -0.018, 0.006999999999999992, -0.04899999999999999, -0.15499999999999997, -0.005000000000000001, 0.008000000000000007, -0.019, 0.10099999999999999, -0.015, -0.064, -0.15, 1.0, 0.536, 1.06, 1.0, 0.21000000000000002, 0.0], "iou0": 0.8814524594836344, "iou": 0.8831992033360011, "res": [[682.0, 767.0, 45.0, 40.0], [624.0, 688.0, 35.0, 29.0], [824.0, 936.0, 49.0, 63.0], [815.0, 927.0, 58.0, 54.0], [682.0, 787.0, 66.0, 39.0]], "hand_fit": {"chamfer0": 0.48354834511681277, "chamfer": 0.42641367681092623, "iou0": 0.8837734410187661}}, "31,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.008, 0.075, -0.28500000000000003, 0.0, 0.105, 0.015, 0.0, 0.0, 0.0, 0.12, 0.0, -0.015, -0.09, -0.044, 0.08199999999999999, 0.015, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.2, -0.215, -0.125, -0.82, -0.32500000000000007, 0.15, 0.0, 0.0, 0.0, 0.03, -0.015, 0.0, 0.03, -0.18, 0.022, 0.0, 0.015, 0.0, 0.105, 0.24, 0.0, 0.0, 0.052, 0.0, 0.0, 0.0, 0.006, -0.06699999999999998, 0.0, 0.0, -0.17549999999999996, -0.0005000000000000004, 0.0, 0.07849999999999999, 0.0075, -0.03699999999999999, -0.015, 0.026, 0.0, 0.18, 0.0635, 0.068, 0.03, 0.0, -0.06, -0.0445, 0.0, 0.0185, 0.0185, 0.0485, -0.011, -0.0185, -0.045, 1.0, 0.28, 1.0, 0.8200000000000001, 0.0, 0.074], "iou0": 0.8929349396390014, "iou": 0.89500856978679, "res": [[678.0, 735.0, 30.0, 27.0], [695.0, 783.0, 42.0, 46.0], [694.0, 770.0, 26.0, 50.0], [718.0, 814.0, 49.0, 47.0], [731.0, 837.0, 62.0, 44.0]], "hand_fit": {"chamfer0": 0.48393932091563296, "chamfer": 0.4494915217384291, "iou0": 0.8952653091962894}}, "31,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.24, -0.03, 0.0, -0.015, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.008, -0.172, -0.016, -0.12, -0.5539999999999999, 0.248, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, -0.34900000000000003, -0.07500000000000001, -0.41600000000000004, 0.06299999999999997, -0.03999999999999998, 0.0, 0.0, 0.0, 0.06, 0.015, 0.0, 0.015, -0.08199999999999999, 0.0, 0.0, 0.0, 0.0, 0.06, 0.15, 0.045, 0.022, -0.015, -0.097, 0.0, 0.0, 0.006, 0.0, -0.22499999999999998, 0.0, 0.0, 0.009000000000000022, 0.0455, -0.045, -0.06, -0.05949999999999999, 0.014000000000000012, 0.03199999999999997, -0.0485, 0.146, -0.10099999999999999, -0.015, 0.24, -0.0185, -0.06, -0.09699999999999999, 0.0034999999999999996, 0.044500000000000005, 0.0525, 0.0, -0.015, -0.0075, -0.1425, 0.46, 0.28, 0.94, 1.0, 0.014000000000000012, 0.013999999999999999], "iou0": 0.8934946952731808, "iou": 0.8922663400919328, "res": [[773.0, 836.0, 23.0, 40.0], [649.0, 706.0, 25.0, 32.0], [741.0, 832.0, 48.0, 43.0], [797.0, 911.0, 56.0, 58.0], [753.0, 874.0, 66.0, 55.0]], "hand_fit": {"chamfer0": 0.5002458821017033, "chamfer": 0.4591520092554318, "iou0": 0.8920375071399876}}, "31,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.345, -0.015, 0.23199999999999998, -0.172, 0.0, 0.12, -0.12, 0.0, 0.0, 0.0, 0.18, 0.0, -0.03699999999999999, 0.0, -0.105, 0.037000000000000005, 0.0, 0.0, 0.0, -0.06, 0.0, -0.03, 0.0, 0.1, -0.23399999999999999, 0.0, -0.41000000000000003, 0.36000000000000004, 0.30000000000000004, 0.0, 0.0, 0.0, 0.03, -0.09, 0.0, 0.09, -0.21, 0.008, 0.0, 0.06, 0.0, 0.0, 0.18, 0.0, 0.07600000000000001, -0.052, 0.128, 0.0, 0.0, 0.0, -0.11599999999999999, -0.123, 0.0525, -0.09, 0.0, 0.0, 0.0075, 0.0, -0.011, -0.045, 0.07750000000000001, 0.1275, 0.0, -0.0335, -0.041499999999999995, 0.0525, 0.008, -0.009999999999999985, -0.06, 0.08199999999999999, -0.0675, -0.16999999999999998, 0.0485, -0.11199999999999999, -0.040499999999999994, 0.0, 0.17600000000000005, 0.040000000000000036, 1.0, 1.17, -0.19399999999999998, -0.06], "iou0": 0.8584624908021447, "iou": 0.854178600703837, "res": [[556.0, 624.0, 33.0, 35.0], [668.0, 768.0, 49.0, 51.0], [682.0, 803.0, 53.0, 68.0], [640.0, 741.0, 53.0, 48.0], [622.0, 753.0, 77.0, 54.0]], "hand_fit": {"chamfer0": 0.5084241498527243, "chamfer": 0.5084241498527243, "iou0": 0.854178600703837}}, "31,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, -0.015, -0.008, 0.015, -0.089, 0.008, 0.39, -0.12, 0.0, 0.12, -0.12, 0.0, 0.0, 0.037, 0.0, -0.11199999999999999, -0.015, 0.0, 0.0, 0.0, 0.015, -0.12, 0.0, 0.0, 0.07500000000000001, 0.28, -0.05, -0.6950000000000002, 0.3, -0.08499999999999999, 0.0, -0.03, 0.0, 0.045, -0.03, 0.0, 0.008, -0.03, 0.16499999999999998, 0.0, 0.015, 0.0, 0.105, 0.10499999999999998, -0.015, 0.0, 0.0, -0.015, 0.0, 0.0, 0.0, 0.105, 0.22499999999999998, 0.183, 0.146, 0.0, 0.0, 0.15749999999999997, 0.0, -0.05999999999999997, -0.0049999999999999906, 0.13999999999999999, 0.0, 0.135, 0.09, 0.0375, 0.181, 0.033499999999999995, -0.059999999999999984, -0.131, 0.006999999999999992, 0.011, 0.0, 0.0, -0.11249999999999999, 0.0, -0.135, 0.97, 1.0, 1.2, 1.0, -0.07800000000000004, 0.15], "iou0": 0.8866975130588595, "iou": 0.8855130587282762, "res": [[624.0, 711.0, 41.0, 46.0], [674.0, 739.0, 23.0, 42.0], [653.0, 753.0, 36.0, 64.0], [674.0, 753.0, 42.0, 37.0], [663.0, 750.0, 54.0, 33.0]], "hand_fit": {"chamfer0": 0.577953196600141, "chamfer": 0.577953196600141, "iou0": 0.8855130587282762}}, "32,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.008, 0.008, 0.08799999999999997, 0.0, -0.052, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, -0.09, 0.0, -0.11199999999999999, -0.20199999999999999, 0.23199999999999998, 0.12, 0.03, -0.12, -0.12, 0.0, -0.015, -0.06999999999999999, 0.22399999999999998, 0.0, 0.595, -0.18500000000000005, 0.0, 0.015, 0.0, 0.0, 0.0, -0.09, 0.0, 0.09, -0.24000000000000002, 0.045, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, -0.052, -0.021999999999999992, -0.03, 0.0, 0.0, 0.0, 0.004, -0.07799999999999999, -0.009000000000000001, 0.006999999999999999, 0.004, 0.0, 0.0075, 0.135, 0.022999999999999993, -0.006499999999999999, 0.005999999999999998, 0.040499999999999994, 0.0, 0.2675, -0.0375, -0.10500000000000001, 0.045, -0.14199999999999996, 0.0675, -0.15349999999999997, 0.097, 0.10049999999999998, -0.019999999999999962, -0.015, -0.03999999999999998, -0.015, 1.0, 0.73, 1.12, 1.0, -0.074, 0.0], "iou0": 0.9001819967695652, "iou": 0.8982157074847583, "res": [[661.0, 710.0, 23.0, 26.0], [623.0, 697.0, 31.0, 43.0], [716.0, 839.0, 53.0, 70.0], [719.0, 780.0, 32.0, 29.0], [683.0, 751.0, 36.0, 32.0]], "hand_fit": {"chamfer0": 0.6493196881491434, "chamfer": 0.6450102772507282, "iou0": 0.8982157074847583}}, "32,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.015, 0.158, -0.10299999999999998, 0.0, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, -0.12, -0.172, 0.0, -0.037, 0.028999999999999998, 0.12, 0.0, 0.09, -0.12, 0.12, 0.0, 0.0, 0.010000000000000023, 0.095, 0.0, 0.267, 0.17, -0.56, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.008, 0.0, 0.0, 0.0, 0.03, 0.0, 0.045, 0.12, 0.0, 0.015, -0.14999999999999997, 0.075, 0.0, 0.0, 0.006, -0.172, 0.0705, -0.0225, 0.041, -0.006999999999999999, 0.05799999999999997, 0.0935, -0.011, 0.0, 0.0225, -0.015, 0.045, -0.0335, 0.0, 0.08199999999999999, 0.03, 0.055999999999999994, 0.0, 0.021, -0.04099999999999998, 0.11599999999999999, -0.044, -0.0005000000000000074, -0.015, -0.06699999999999998, -0.06, 0.52, 1.0, 1.0, 1.0, -0.15, 0.0], "iou0": 0.8909187376247015, "iou": 0.8825731029453335, "res": [[540.0, 602.0, 39.0, 23.0], [548.0, 621.0, 46.0, 27.0], [670.0, 771.0, 60.0, 41.0], [738.0, 821.0, 37.0, 46.0], [637.0, 698.0, 28.0, 33.0]], "hand_fit": {"chamfer0": 0.481358051437052, "chamfer": 0.469502827398836, "iou0": 0.8825731029453335}}, "32,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, -0.097, 0.016, 0.0, -0.10199999999999995, 0.015, 0.0, -0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.39, 0.0, 0.09, -0.11199999999999999, 0.0, 0.0, 0.24, 0.0, 0.12, 0.0, -0.12, -0.03, -0.06, -0.05, 0.44800000000000006, 0.2039999999999998, 0.35000000000000003, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.03, 0.0, 0.0, 0.135, 0.0, 0.105, -0.22499999999999998, 0.015, 0.0, -0.006, 0.006, -0.08199999999999999, 0.028999999999999974, -0.06, -0.015, -0.086, -0.008, 0.09, 0.067, 0.0185, 0.0, 0.005999999999999998, 0.0, -0.0405, -0.06, 0.0, 0.0, 0.0, 0.0, 0.0895, 0.0, 0.0075, 0.0075, 0.040999999999999995, -0.0075, -0.15949999999999998, -0.11649999999999999, 0.040000000000000036, 1.0, 1.14, 1.0, -0.03, -0.22399999999999998], "iou0": 0.8893111192096438, "iou": 0.8881021167660116, "res": [[519.0, 591.0, 39.0, 33.0], [529.0, 605.0, 42.0, 34.0], [659.0, 749.0, 52.0, 38.0], [711.0, 801.0, 28.0, 62.0], [625.0, 671.0, 18.0, 28.0]], "hand_fit": {"chamfer0": 0.47610783681613605, "chamfer": 0.4582221605662225, "iou0": 0.8868188634730115}}, "32,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.015, 0.0, 0.0, -0.059000000000000004, 0.0, -0.06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08199999999999999, 0.0, 0.0, -0.03, 0.09, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.32999999999999996, 0.0, 0.59, -0.39, 0.061999999999999986, 0.0, 0.008, 0.0, 0.052, 0.06, -0.015, -0.052, -0.172, 0.06, 0.0, 0.0, 0.0, 0.11199999999999999, 0.188, 0.0, 0.052, 0.33, 0.008, 0.0, 0.0, 0.0, 0.045, -0.07849999999999999, -0.0225, 0.015499999999999993, 0.0, -0.07099999999999998, 0.1275, 0.015, 0.0375, -0.026, 0.0, 0.12749999999999995, 0.006999999999999999, 0.23249999999999998, 0.009999999999999992, -0.006999999999999996, 0.03, -0.09, -0.0485, -0.206, -0.0069999999999999785, 0.35, 0.0225, -0.037, 0.0, 0.0, 1.0, 0.986, 1.0, 1.0, 0.29599999999999993, 0.15], "iou0": 0.9011245032532751, "iou": 0.9008063043918165, "res": [[736.0, 807.0, 20.0, 51.0], [696.0, 789.0, 50.0, 43.0], [698.0, 779.0, 42.0, 39.0], [696.0, 757.0, 25.0, 36.0], [718.0, 792.0, 32.0, 42.0]], "hand_fit": {"chamfer0": 1.2981707513953078, "chamfer": 1.174409046106705, "iou0": 0.90128508419855}}, "33,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.18, 0.03, -0.045, -0.015, -0.128, -0.12, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.3, 0.0, 0.32999999999999996, 0.0, 0.03, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06999999999999999, 0.4, 0.0, 0.18000000000000005, 0.37800000000000006, -0.12, 0.0, -0.24, 0.0, 0.03, -0.195, 0.0, 0.105, -0.075, -0.18, 0.0, 0.03, 0.0, 0.06, -0.06, 0.0, 0.06, -0.016, -0.06, 0.0, -0.006, 0.0, -0.0525, -0.07499999999999997, 0.0, 0.021999999999999992, 0.040999999999999995, 0.0075, 0.0075, -0.0525, -0.04799999999999999, 0.0, 0.0975, -0.03, 0.03, 0.011, 0.040999999999999995, -0.071, 0.10849999999999999, 0.0375, -0.044500000000000005, -0.045, 0.045, -0.13599999999999998, 0.020999999999999998, 0.03, 0.0, -0.12, 1.0, 0.28, 1.0, 1.17, -0.36, 0.27], "iou0": 0.901876151812731, "iou": 0.899792465972333, "res": [[823.0, 926.0, 41.0, 62.0], [796.0, 862.0, 29.0, 37.0], [627.0, 702.0, 34.0, 41.0], [717.0, 793.0, 35.0, 41.0], [764.0, 847.0, 35.0, 48.0]], "hand_fit": {"chamfer0": 0.42834364586881846, "chamfer": 0.4171583662919984, "iou0": 0.8998858475981434}}, "32,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.015, 0.0, 0.0, -0.09699999999999999, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, -0.12, 0.0, 0.0, -0.06999999999999999, -0.28, 0.0, 0.565, 0.08499999999999992, 0.4, 0.008, 0.0, 0.0, 0.0, 0.008, 0.0, 0.0, -0.015, -0.03, 0.0, 0.03, 0.0, 0.06, 0.06, 0.0, -0.038, -0.037, 0.0, 0.0, 0.0, 0.0, 0.015, -0.0075, -0.040999999999999995, 0.0, 1.3877787807814457e-17, 0.0, 0.13049999999999998, 0.0, 0.086, -0.1864999999999999, 0.008000000000000007, 0.0, -0.03, 0.015, 0.0, -0.011, -0.043499999999999976, -0.07449999999999998, 0.045, -0.055999999999999994, 0.055999999999999994, -0.055999999999999994, 0.11249999999999999, 0.03, 0.0, 0.0, 1.0, 0.28, 1.0, 1.0, -0.12, -0.194], "iou0": 0.8968824576488409, "iou": 0.8932838709972005, "res": [[670.0, 734.0, 25.0, 39.0], [630.0, 690.0, 35.0, 25.0], [704.0, 813.0, 50.0, 59.0], [732.0, 808.0, 29.0, 47.0], [673.0, 759.0, 37.0, 49.0]], "hand_fit": {"chamfer0": 0.5502026669239972, "chamfer": 0.49958546602603787, "iou0": 0.8940121341211602}}, "33,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.11199999999999999, 0.015, 0.0, 0.008, -0.008, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, 0.0, -0.14300000000000002, -2.7755575615628914e-17, 0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.18, -0.05, 0.15000000000000002, 0.579, 0.15400000000000003, 0.0, -0.12, 0.0, 0.06, 0.135, 0.0, 0.015, -0.067, 0.16499999999999998, 0.0, 0.12, 0.0, 0.0, 0.105, 0.0, 0.12, -0.18, 0.24, 0.0, 0.0, 0.0, 0.0, -0.03299999999999999, 0.0, -0.055999999999999994, 0.0675, 0.1205, -0.12, 0.06, 0.11549999999999999, -0.15749999999999997, 0.09899999999999996, 0.12, 0.0225, 0.040999999999999995, 0.015, -0.127, 0.04449999999999997, 0.0, -0.045, -0.03, -0.045, -0.16449999999999998, 0.0, 0.06, -0.06, -0.123, 1.17, 0.52, 0.94, 1.0, 0.06, 0.0], "iou0": 0.902727404956883, "iou": 0.9041939478815456, "res": [[796.0, 879.0, 32.0, 51.0], [732.0, 808.0, 26.0, 50.0], [598.0, 658.0, 36.0, 24.0], [719.0, 795.0, 35.0, 41.0], [714.0, 791.0, 33.0, 44.0]], "hand_fit": {"chamfer0": 0.5631685786192027, "chamfer": 0.5072932584407522, "iou0": 0.9042693176048159}}, "33,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.06, -0.03, 0.0, -0.051000000000000004, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.48, 0.0, -0.015, 0.43499999999999994, -0.015, 0.0, 0.12, -0.11199999999999999, 0.0, -0.03, -0.015, 0.0, 0.3600000000000001, -0.025, -0.07500000000000001, 0.45999999999999996, -0.24999999999999997, 0.0, -0.11199999999999999, 0.0, 0.06, -0.008000000000000007, 0.0, 0.0, 0.0, 0.0, 0.0, -0.105, 0.0, 0.03, 0.03, 0.015, 0.075, -0.023, 0.03, 0.0, 0.0, 0.0, 0.0075, 0.195, 0.0, 0.0034999999999999996, 0.07099999999999998, 0.0, 0.0, 0.07449999999999998, 0.0, 0.0, 0.0, 0.0, 0.0010000000000000148, -0.11249999999999999, 0.007000000000000006, -0.018000000000000006, 0.040999999999999995, 0.03, 0.063, 0.06, 0.055999999999999994, -0.2699999999999999, 0.0375, 0.026, -0.0075, -0.07849999999999999, 1.2, 0.79, 0.76, 1.0, 0.03, 0.0], "iou0": 0.9074161769008086, "iou": 0.907580773952656, "res": [[792.0, 884.0, 43.0, 49.0], [745.0, 809.0, 30.0, 34.0], [591.0, 653.0, 31.0, 31.0], [723.0, 796.0, 35.0, 38.0], [721.0, 795.0, 38.0, 36.0]], "hand_fit": {"chamfer0": 0.6939373637889041, "chamfer": 0.6475826948068601, "iou0": 0.9065661637690102}}, "33,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.015, 0.0, -0.015, 0.15699999999999997, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.045, -0.008, 0.15699999999999997, -0.08199999999999999, 0.19999999999999996, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.025, 0.31499999999999995, 0.0, 0.040000000000000036, 0.5149999999999999, -0.08999999999999998, 0.0, -0.12, 0.0, 0.03, 0.045, 0.0, 0.052, -0.03, 0.052, 0.03, 0.12, 0.0, 0.038, -0.038, 0.0, 0.052, -0.075, 0.09599999999999997, 0.0, 0.0, 0.0, 0.09, -0.0525, -0.13749999999999996, 0.0, 0.03449999999999995, 0.21, 0.015, 0.05199999999999999, 0.0, 0.0, 0.31249999999999994, 0.045, 0.03, 0.0075, -0.026, -0.10099999999999999, 0.040999999999999995, 0.040999999999999995, -0.044500000000000005, -0.11249999999999999, -0.0075, -0.006999999999999992, -0.006999999999999999, 0.026, 0.0, -0.05999999999999998, 1.0, 0.5960000000000001, 0.75, 1.0, -0.254, 0.0], "iou0": 0.9056712263883187, "iou": 0.9037546360186488, "res": [[797.0, 875.0, 32.0, 46.0], [758.0, 826.0, 28.0, 40.0], [616.0, 688.0, 40.0, 32.0], [743.0, 818.0, 34.0, 41.0], [721.0, 802.0, 39.0, 42.0]], "hand_fit": {"chamfer0": 0.6289531162424702, "chamfer": 0.6392423360030615, "iou0": 0.9030432429628217}}, "33,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.105, 0.0, -0.015, 0.03, -0.142, 0.0, -0.12, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, -0.15, 0.0, 0.0, -0.015, 0.105, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005000000000000011, 0.3, 0.025, -0.18300000000000005, 0.10000000000000002, -0.095, 0.0, -0.10499999999999998, 0.0, 0.06, -0.075, 0.0, 0.06, -0.03, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.075, 0.0, -0.06, 0.0, 0.0, 0.0, 0.0075, -0.11249999999999999, 0.0, -0.11199999999999999, 0.16499999999999998, 0.09, 0.13849999999999998, 0.0, -0.0075, -0.08249999999999999, 0.022500000000000013, 0.12, 0.05299999999999999, 0.10099999999999999, 0.0675, -0.0375, 0.09, 0.0, -0.0375, -0.015, 0.0075, 0.0, 0.015, 0.014499999999999964, -0.08249999999999996, -0.045, 1.17, 0.808, 1.016, 1.0, 0.06, 0.06], "iou0": 0.8973952046353855, "iou": 0.8949433772020804, "res": [[830.0, 923.0, 54.0, 39.0], [790.0, 870.0, 34.0, 46.0], [621.0, 702.0, 42.0, 39.0], [708.0, 783.0, 33.0, 42.0], [743.0, 829.0, 38.0, 48.0]], "hand_fit": {"chamfer0": 0.5275191458283457, "chamfer": 0.5115278969628244, "iou0": 0.8943238771264589}}, "34,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, -0.075, 0.097, -0.015, 0.11999999999999998, 0.028999999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.053, -0.15000000000000002, -0.03, 0.262, -0.12, 0.18, -0.135, -0.24, -0.12, 0.24, 0.12, 0.0, 1.4049999999999998, -0.53, 1.8750000000000002, -0.797, -1.59, -1.4750000000000003, 0.0, -0.16499999999999998, 0.0, 0.068, 0.11199999999999999, 0.0, 0.0, -0.21000000000000002, 0.08099999999999999, 0.008, 0.0, 0.0, 0.052, 0.008000000000000007, 0.0, 0.089, -0.041999999999999975, 0.036, 0.0, 0.0, 0.0, 0.161, 0.086, -0.0075, 0.0375, 0.11549999999999999, 0.12, 0.12000000000000001, 0.040499999999999994, 0.0, -0.015, 0.0, 0.0, 0.0, 0.025500000000000002, -0.0075, -0.14899999999999997, -0.078, -0.07499999999999998, -0.011500000000000007, -0.006999999999999999, -0.03299999999999999, -0.18, 0.04799999999999999, 0.023999999999999973, 0.0675, -0.12, 1.0, 0.76, 0.88, 1.0, -0.015999999999999986, -0.009999999999999995], "iou0": 0.8847532860850617, "iou": 0.8804683767545262, "res": [[772.0, 872.0, 29.0, 71.0], [750.0, 829.0, 18.0, 61.0], [561.0, 637.0, 29.0, 47.0], [695.0, 787.0, 43.0, 49.0], [751.0, 853.0, 52.0, 50.0]], "hand_fit": {"chamfer0": 1.4147727371672816, "chamfer": 1.0339538432085358, "iou0": 0.8806421688273851}}, "34,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.015, 0.30699999999999994, 0.0, 0.06, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, -0.18, 0.0, 0.12, 0.0, 0.42, 0.15, 0.0, -0.3, -0.18, 0.052, 0.18, 1.4250000000000003, 0.13499999999999998, 0.87, -1.0749999999999997, 0.2, 0.625, 0.0, -0.105, 0.0, 0.022, -0.03, 0.0, 0.015, -0.13499999999999998, -0.09, 0.0, 0.03, 0.0, 0.06, 0.015, 0.0, 0.04500000000000001, 0.007000000000000006, 0.09, 0.0, 0.0, 0.0, 0.06299999999999999, -0.1795, 0.12, 0.322, 0.0005000000000000074, 0.015, 0.346, 0.311, 0.0, 0.0, 0.0, 0.0, 0.0, 0.086, 0.10049999999999998, -0.06999999999999998, 0.0375, 0.0005000000000000004, 0.055999999999999994, 0.0, 0.0335, -0.07999999999999999, 0.0, 0.10499999999999998, 0.0, -0.12, 1.02, 1.0, 1.0, 1.0, -0.32999999999999996, 0.0], "iou0": 0.8904937702964256, "iou": 0.8914436034288356, "res": [[772.0, 870.0, 50.0, 48.0], [740.0, 815.0, 31.0, 44.0], [568.0, 635.0, 33.0, 34.0], [715.0, 806.0, 50.0, 41.0], [757.0, 862.0, 58.0, 47.0]], "hand_fit": {"chamfer0": 0.6823981896064677, "chamfer": 0.5485450715960793, "iou0": 0.8912110452893007}}, "34,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.28500000000000003, 0.06, 0.0, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008000000000000007, 0.0, 0.008000000000000007, -0.09, -0.18, -0.24, 0.0, 0.0, 0.0, -0.12, -0.18, 0.11699999999999999, 0.41800000000000004, 0.025, -0.33000000000000007, 1.0380000000000003, 0.18499999999999997, 0.0, 0.0, 0.0, 0.06, -0.18, -0.008, 0.06, -0.11199999999999996, 0.0, 0.0, -0.008000000000000007, 0.0, 0.06, -0.052, 0.0, 0.03, -0.015, 0.0, 0.0, 0.0, -0.006, 0.0, -0.0525, -0.04500000000000001, 0.03, 0.011, 0.0, -0.13499999999999998, -0.0675, 0.011, -0.0005000000000000004, 0.0485, 0.0, 0.15749999999999997, 0.08099999999999997, 0.0555, -0.022, 0.020999999999999998, 0.0, -0.0005000000000000004, 0.0005000000000000004, 0.040999999999999995, -0.26699999999999996, 0.0225, 0.06, -0.0075, -0.3, 1.0, 0.64, 1.0, 0.896, -0.48, 0.03], "iou0": 0.9014400758636156, "iou": 0.8971722749458728, "res": [[783.0, 864.0, 41.0, 40.0], [744.0, 814.0, 28.0, 42.0], [586.0, 641.0, 31.0, 24.0], [714.0, 805.0, 39.0, 52.0], [755.0, 849.0, 45.0, 49.0]], "hand_fit": {"chamfer0": 0.5291576638650848, "chamfer": 0.5112090129029145, "iou0": 0.896335362700964}}, "34,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.15, 0.0, 0.18, 0.0, 0.12, -0.11199999999999999, 0.0, 0.03, 0.0, 0.0, 0.0, 0.0, -0.172, 0.0, 0.0, -0.015, 0.12, 0.015, 0.0, 0.0, -0.015, -0.12, -0.12, 0.08000000000000002, 0.688, -0.125, -0.32500000000000007, 0.7250000000000001, 0.4000000000000001, 0.0, -0.06, 0.0, 0.06, -0.06, 0.0, 0.038, -0.13399999999999998, 0.03, 0.0, 0.12, 0.0, 0.06, 0.0, 0.0, 0.0, -0.044999999999999984, 0.11299999999999999, 0.0, 0.0, 0.0, 0.045, -0.006499999999999985, -0.0335, -0.005999999999999978, 0.10099999999999999, 0.158, -0.2395, -0.10099999999999999, -0.0225, 0.04799999999999999, 0.06, 0.0, 0.0525, 0.045, 0.0, -0.07450000000000001, 0.09, 0.0075, -0.015, -0.045, -0.0525, -0.08249999999999999, 0.09749999999999999, 0.03, -0.142, -0.16499999999999998, 1.14, 1.0, 0.88, 1.184, -0.19399999999999998, 0.15], "iou0": 0.9052525349374203, "iou": 0.9020237992308401, "res": [[780.0, 852.0, 32.0, 40.0], [748.0, 814.0, 31.0, 35.0], [584.0, 644.0, 40.0, 20.0], [709.0, 793.0, 35.0, 49.0], [752.0, 835.0, 33.0, 50.0]], "hand_fit": {"chamfer0": 0.5126725216156207, "chamfer": 0.4668287102760367, "iou0": 0.9020237992308401}}, "4,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.03, 0.028999999999999998, 0.0, -0.12, 0.0, 0.0, 0.0, -0.008, 0.0, 0.0, -0.31499999999999995, 0.015, 0.052, 0.0, -0.06, -0.03, 0.0, 0.0, 0.0, 0.12, -0.015, -0.03, -0.03, 0.0, 0.45, -0.30000000000000004, 0.375, 0.015, -0.12, 0.0, 0.0, 0.03, 0.0, -0.015, -0.11999999999999998, 0.015, 0.0, 0.12, 0.0, 0.03, 0.06, 0.0, 0.0, -0.075, 0.06, 0.0, 0.0, 0.006, 0.045, 0.019000000000000003, 0.0595, 0.097, 0.0005000000000000074, 0.0, 0.0635, -0.011, -0.109, -0.014999999999999986, 0.0, 0.0, -0.055999999999999994, 0.015, -0.03, 0.008, 0.040499999999999994, -6.938893903907228e-18, 0.0375, 0.0185, 0.0185, -0.10499999999999998, 0.11599999999999999, 0.0075, -0.0935, -0.0675, 1.0, 1.0, 0.956, 1.154, 0.09, -0.03], "iou0": 0.9116408869306651, "iou": 0.912431685757641, "res": [[846.0, 932.0, 32.0, 54.0], [771.0, 841.0, 37.0, 33.0], [560.0, 609.0, 30.0, 19.0], [759.0, 832.0, 28.0, 45.0], [809.0, 886.0, 20.0, 57.0]], "hand_fit": {"chamfer0": 1.0539590246217507, "chamfer": 1.0345549600704036, "iou0": 0.9122487847076328}}, "5,0": {"x": [0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, -0.20899999999999996, 0.0, 0.0, -0.23199999999999998, -0.045, 0.0, 0.03, 0.0, 0.0, -0.03, 0.0, 0.12, -0.22499999999999998, 0.0, 0.15, 0.09, 0.0, -0.15, 0.0, 0.0, 0.0, 0.0, 0.0, 0.1, 0.21, 0.0, -0.857, 0.0049999999999999906, 0.05, 0.0, -0.015, 0.0, 0.06, -0.037, -0.015, 0.045, -0.08099999999999997, 0.12, 0.0, 0.09, 0.0, 0.09, -0.008, 0.0, 0.0, -0.112, 0.045, 0.0, 0.0, 0.0, 0.0, 0.0, -0.052000000000000005, 0.18, 0.06, 0.0225, 0.24000000000000002, 0.0, 0.16499999999999998, 0.0, 0.03, 0.0, -0.015, 0.015, 0.0975, -0.10850000000000001, 0.057, 0.006499999999999999, 0.006999999999999999, 0.0, -0.055999999999999994, -0.015, 0.03, 0.060000000000000005, 0.0, 0.0, 0.79, 1.0, 0.88, 1.0, -0.29999999999999993, 0.013999999999999999], "iou0": 0.9011091071499923, "iou": 0.9016987558599675, "res": [[792.0, 880.0, 40.0, 48.0], [622.0, 702.0, 41.0, 39.0], [667.0, 746.0, 39.0, 40.0], [803.0, 874.0, 34.0, 37.0], [742.0, 812.0, 35.0, 35.0]], "hand_fit": {"chamfer0": 0.861791798186782, "chamfer": 0.861073854914369, "iou0": 0.9016729959977653}}, "34,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, -0.023, 0.015, -0.015, -0.12, 0.0, 0.12, 0.0, 0.12, 0.0, 0.0, 0.03, 0.0, -0.016000000000000014, 0.0, 0.135, 0.0, 0.0, 0.0, 0.0, 0.008, 0.0, 0.0, 0.36, 0.0, -0.12999999999999998, -0.02300000000000009, 0.005000000000000011, 0.0, -0.12, 0.0, 0.06, -0.12, 0.0, 0.0, 0.022, -0.09, 0.0, 0.0, 0.0, 0.015, 0.0, 0.015, 0.10500000000000001, -0.015, 0.0, 0.0, -0.006, 0.0, 0.0, -0.0075, -0.045, 0.0, 0.12, 0.0010000000000000009, 0.0, 0.0, 0.008000000000000007, 0.12, 0.0, 0.18, 0.0, 0.0935, 0.0595, 0.015, 0.026, 0.045, 0.0010000000000000009, 0.21299999999999997, 0.0485, -0.15349999999999997, 0.0485, 0.0, -0.052, -0.1275, 1.0, 0.8660000000000001, 1.0, 0.76, 0.31399999999999995, 0.0], "iou0": 0.8979579370450693, "iou": 0.8965503669867306, "res": [[837.0, 921.0, 34.0, 50.0], [794.0, 880.0, 42.0, 44.0], [606.0, 682.0, 28.0, 48.0], [698.0, 779.0, 40.0, 41.0], [746.0, 832.0, 40.0, 46.0]], "hand_fit": {"chamfer0": 0.5448021919395216, "chamfer": 0.5110325483920549, "iou0": 0.8967776397140031}}, "5,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, -0.06, 0.0, -0.12, -0.067, 0.0, 0.0, 0.0, 0.12, 0.0, 0.09, 0.0, -0.03, -0.44999999999999996, 0.0, 0.36, 0.24, -0.015000000000000013, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.030000000000000006, 0.0, -0.433, 0.3550000000000001, 0.05, 0.0, -0.12, 0.0, 0.03, 0.11199999999999999, 0.0, 0.0, 0.022, 0.0, 0.0, 0.015, 0.0, 0.06, 0.03, 0.0, 0.06, -0.03, 0.045, 0.0, -0.006, 0.0, -0.006499999999999999, -0.022, 0.0075, 0.07850000000000001, 0.055999999999999994, 0.055999999999999994, 0.11199999999999999, 0.0, 0.03, 0.03, 0.0005000000000000004, 0.16099999999999998, 0.0225, 0.0, 0.06, -0.055999999999999994, -0.022, 0.12, 0.0, 0.0, 0.0225, -0.05549999999999998, 0.003499999999999996, 0.086, -0.045, -0.040999999999999995, 1.0, 0.91, 1.03, 1.0, 0.12, 0.12], "iou0": 0.9063355262095072, "iou": 0.9073000947455843, "res": [[833.0, 913.0, 33.0, 47.0], [675.0, 752.0, 36.0, 41.0], [613.0, 674.0, 34.0, 27.0], [787.0, 872.0, 42.0, 43.0], [782.0, 854.0, 37.0, 35.0]], "hand_fit": {"chamfer0": 0.4725388940283505, "chamfer": 0.4048491349171027, "iou0": 0.9079886621464418}}, "5,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.037, 0.0, 0.0, 0.12599999999999995, 0.03, 0.0, 0.0, 0.015, 0.0, 0.0, 0.0, 0.0, -0.097, 0.0, 0.0, -0.15, 0.045, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.16499999999999998, 0.0, -0.535, 0.36, 0.195, 0.0, -0.18, 0.0, 0.06, 0.06, 0.0, 0.06, -0.06, 0.03, 0.0, 0.06, 0.0, 0.06, 0.06, 0.0, 0.06, -0.07500000000000001, 0.0, 0.0, -0.006, 0.0, 0.0, -0.142, 0.0675, -0.075, 0.0375, 0.11249999999999999, 0.131, -0.21749999999999997, -0.176, 0.0, 0.0, 0.11249999999999999, 0.071, -0.0895, -0.086, -0.11249999999999999, 0.10099999999999998, 0.0, 0.0075, -0.0075, 0.03, 0.06, 0.023, 0.0335, 0.03, -0.101, 0.94, 0.52, 1.0, 1.0, -0.22399999999999998, 0.074], "iou0": 0.9153266146070214, "iou": 0.9170529444814886, "res": [[846.0, 920.0, 29.0, 45.0], [834.0, 908.0, 18.0, 56.0], [603.0, 663.0, 22.0, 38.0], [671.0, 737.0, 32.0, 34.0], [789.0, 857.0, 22.0, 46.0]], "hand_fit": {"chamfer0": 0.6725344627072813, "chamfer": 0.6725344627072813, "iou0": 0.9170529444814886}}, "5,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.045, 0.0, 0.12, 0.097, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008, 0.0, -0.06, -0.12, 0.0, 0.045, 0.16399999999999998, 0.008000000000000007, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.135, 0.0, -0.525, 0.27499999999999997, -0.13, 0.0, -0.03, 0.0, 0.045, -0.03, 0.0, 0.015, -0.09, -0.03, 0.0, 0.06, 0.0, 0.06, 0.24, 0.0, 0.06, -0.03, 0.127, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.06, 0.011, 0.12, 0.06, 0.0, -0.0005000000000000004, 0.048499999999999995, 0.0, 0.09, 0.0, 0.045, 0.011, -0.19099999999999995, 0.0075, 0.0225, 0.1725, 0.0, -0.03, 0.015, -0.0225, 0.258, -0.055999999999999994, 0.0, 0.536, 0.4, 1.09, 1.0, 0.0, 0.0], "iou0": 0.9086394806338083, "iou": 0.9107477106233631, "res": [[806.0, 872.0, 28.0, 38.0], [858.0, 955.0, 29.0, 68.0], [712.0, 773.0, 27.0, 34.0], [621.0, 685.0, 38.0, 26.0], [757.0, 838.0, 29.0, 52.0]], "hand_fit": {"chamfer0": 0.5113312199622705, "chamfer": 0.49819429487033096, "iou0": 0.9105597546988082}}, "6,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.128, 0.0, 0.0, 0.12, -0.18, 0.0, -0.12, -0.12, 0.0, 0.0, 0.12, 0.12, 0.0, -0.075, 0.0, 0.352, 0.0, 0.0, 0.0, 0.0, -0.06, 0.0, 0.0, 0.0, 0.07500000000000001, -0.05, -0.1, -0.014999999999999993, 0.10200000000000001, 0.063, 0.0, -0.016, 0.0, 0.12, -0.008, 0.0, -0.12, 0.3969999999999999, -0.015, 0.0, 0.053, 0.0, 0.03, -0.053, 0.0, 0.12, 0.03, 0.052, 0.0, 0.0, 0.0, -0.093, 0.0, -0.015, 0.040999999999999995, 0.0, 0.0, 0.018, 0.0, -0.08950000000000002, 0.015, 0.0185, 0.0, 0.0, -0.0935, 0.0, 0.0, -0.026999999999999986, -0.0405, 0.11199999999999999, -0.015, -0.0075, -0.0665, 0.0075, 0.10099999999999998, -0.0075, 0.0075, 1.0, 1.0, 1.0, 1.0, 0.21, -0.12], "iou0": 0.8967183924482812, "iou": 0.8946817038371669, "res": [[839.0, 940.0, 43.0, 58.0], [719.0, 799.0, 34.0, 46.0], [580.0, 652.0, 39.0, 33.0], [762.0, 838.0, 38.0, 38.0], [771.0, 860.0, 45.0, 44.0]], "hand_fit": {"chamfer0": 1.020148641712175, "chamfer": 1.020148641712175, "iou0": 0.8946817038371669}}, "5,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.03, 0.0, 0.0, 0.089, 0.0, 0.0, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, 0.015, 0.0, 0.12, -0.008000000000000028, -0.21000000000000002, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, 0.10000000000000002, 0.06999999999999999, 0.0, -0.7180000000000001, 0.2890000000000001, -0.27499999999999997, 0.0, -0.105, 0.0, 0.06, 0.03, 0.0, 0.0, 0.0, 0.023, 0.0, 0.12, 0.0, 0.03, -0.12, 0.0, 0.11199999999999999, -0.03, -0.008, 0.0, 0.0, 0.0, 0.015000000000000003, -0.0185, 0.018000000000000006, 0.146, 0.0, -1.3877787807814457e-17, 0.09, -0.08249999999999999, -0.045, -0.030000000000000013, 0.06, 0.12, 0.03, -0.026, 0.135, 0.015, 0.006999999999999999, 0.059499999999999977, 0.04799999999999999, -0.03299999999999999, 0.0595, -0.07599999999999998, 0.11999999999999998, 0.0675, -0.03, -0.12, 0.97, 0.52, 1.0, 1.0, 0.12, 0.0], "iou0": 0.9102140441857797, "iou": 0.9105200712504373, "res": [[864.0, 937.0, 41.0, 32.0], [773.0, 836.0, 30.0, 33.0], [579.0, 646.0, 35.0, 32.0], [753.0, 817.0, 31.0, 33.0], [787.0, 883.0, 45.0, 51.0]], "hand_fit": {"chamfer0": 0.7800554726146126, "chamfer": 0.7874698048713202, "iou0": 0.9087112512236096}}, "6,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.09, 0.0, 0.0, 0.128, -0.067, -0.015, -0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.15, 0.0, 0.127, -0.067, 0.0, -0.008, 0.0, -0.12, 0.0, 0.0, 0.0, -0.03, 0.127, 0.0, -0.07500000000000001, -0.17200000000000001, -0.467, 0.0, -0.06, 0.0, 0.09, 0.015, 0.0, -0.105, -0.044999999999999984, 0.09, 0.0, 0.24, 0.0, 0.0, -0.052, 0.0, 0.12, -0.22499999999999998, 0.105, 0.0, 0.0, 0.0, 0.0, 0.0, -0.08249999999999999, -0.067, 0.0, 0.0, -0.11499999999999999, -0.045, -0.10849999999999999, 0.12399999999999999, 0.04599999999999996, 0.06, 0.011, -0.075, 0.03, -0.086, 0.07799999999999999, 0.11599999999999999, -0.07799999999999999, -0.1505, 0.0445, -0.22849999999999998, 0.09699999999999999, -0.0675, -0.12749999999999995, -0.040999999999999995, 0.8200000000000001, 1.02, 1.0, 1.0, 0.074, 0.027999999999999997], "iou0": 0.8938494998644393, "iou": 0.8939161701187357, "res": [[836.0, 933.0, 43.0, 54.0], [759.0, 865.0, 49.0, 57.0], [572.0, 632.0, 27.0, 33.0], [785.0, 854.0, 29.0, 40.0], [783.0, 897.0, 54.0, 60.0]], "hand_fit": {"chamfer0": 1.1586846483920508, "chamfer": 1.1412327092238501, "iou0": 0.8941391355590925}}, "6,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.12, -0.015, 0.0, 0.12, 0.03, 0.0, -0.12, -0.09, 0.0, 0.0, 0.0, 0.06, 0.0, -0.07499999999999998, 0.0, 0.15, -0.21, 0.0, -0.06, 0.06, -0.12, -0.06, -0.06, 0.0, 0.06, -0.45, 0.0, 0.22000000000000003, 0.19999999999999998, -0.33499999999999996, 0.0, -0.12, 0.0, 0.06, -0.06, 0.0, 0.0, -0.13499999999999998, 0.0, 0.0, 0.12, 0.0, 0.045, -0.008, 0.0, 0.09, -0.12, 0.098, 0.0, 0.0, 0.0, -0.08199999999999999, -0.0075, 0.038, 0.07049999999999998, -0.006999999999999999, 0.06, -0.10499999999999998, 0.008, 0.0935, 0.055999999999999994, 0.0, 0.06, 0.010500000000000006, -0.0335, 0.075, -0.08199999999999999, 0.075, 0.138, -0.04449999999999999, -0.0525, 0.071, 0.008, 0.071, 0.0, -0.071, -0.09, 1.0199999999999998, 1.0, 0.716, 1.1239999999999999, 0.134, -0.14999999999999997], "iou0": 0.9015129775606049, "iou": 0.9027492441625423, "res": [[850.0, 942.0, 53.0, 39.0], [780.0, 846.0, 30.0, 36.0], [574.0, 629.0, 26.0, 29.0], [803.0, 889.0, 42.0, 44.0], [802.0, 909.0, 62.0, 45.0]], "hand_fit": {"chamfer0": 1.1173931695209067, "chamfer": 1.0636046690547296, "iou0": 0.9031977398593402}}, "6,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.015, 0.08199999999999999, 0.0, -0.037, -0.255, 0.03, -0.12, -0.12, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.54, -0.008000000000000007, -0.015, 0.0, 0.015, -0.12, -0.06, 0.0, 0.0, 0.12, -0.127, 0.0, -0.03199999999999994, -0.11000000000000001, -0.5699999999999998, 0.0, -0.12, 0.0, 0.12, -0.037, 0.0, -0.06, 0.0, 0.053000000000000005, 0.015, 0.135, 0.0, 0.03, -0.008, 0.0, 0.098, -0.09699999999999999, 0.12, 0.0, 0.0, -0.006, 0.0185, -0.08549999999999999, 0.0, -0.011, 0.006999999999999992, 0.0, -0.09, -0.075, 0.0075, 0.0, 0.0, 0.0, 0.015, 0.09, 0.09, 0.11199999999999999, 0.0, 0.17600000000000002, 0.038000000000000006, -0.045, 0.015, -0.0445, 0.1275, 0.0005000000000000004, -0.011, -0.07849999999999999, 1.0, 1.0, 1.0, 1.0, 0.074, -0.12], "iou0": 0.8984679287842423, "iou": 0.8979716018459885, "res": [[842.0, 934.0, 46.0, 46.0], [787.0, 856.0, 38.0, 31.0], [576.0, 630.0, 25.0, 29.0], [810.0, 904.0, 54.0, 40.0], [795.0, 919.0, 73.0, 51.0]], "hand_fit": {"chamfer0": 1.1179914357137002, "chamfer": 1.1035256250691465, "iou0": 0.897114391258613}}, "6,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, -0.03, -0.12399999999999994, 0.0, -0.12, 0.0, 0.0, 0.0, -0.12, 0.0, 0.0, -0.12, 0.008, 0.11199999999999999, -0.26899999999999996, -0.10499999999999998, 0.0, 0.0, -0.12, 0.0, -0.12, 0.0, 0.0, -0.425, 0.0, 0.09500000000000001, 0.5300000000000001, -0.525, 0.0, -0.015, 0.0, 0.12, 0.0, 0.0, -0.105, 0.2919999999999999, 0.0, 0.0, 0.075, 0.0, 0.015, 0.0, 0.0, 0.14200000000000002, 0.03, 0.097, 0.0, -0.006, 0.0, 0.0, -0.06, -0.075, 0.105, 0.0, 0.04399999999999993, 0.03, -0.040999999999999995, 0.0, 0.0, 0.0, 0.0, -0.0075, -0.06, 0.0075, 0.0075, 0.015, -0.097, 0.0525, 0.0, -0.075, -0.06349999999999997, 0.113, 0.037, 0.0, -0.09199999999999998, 0.8200000000000001, 1.0, 1.1039999999999999, 1.0, 0.344, -0.06], "iou0": 0.8974839159215984, "iou": 0.8972848500095003, "res": [[837.0, 939.0, 44.0, 58.0], [739.0, 827.0, 42.0, 46.0], [574.0, 644.0, 38.0, 32.0], [769.0, 843.0, 31.0, 43.0], [774.0, 857.0, 37.0, 46.0]], "hand_fit": {"chamfer0": 1.0239797554225634, "chamfer": 1.0047588506154415, "iou0": 0.8972848500095003}}, "7,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.12, 0.0, 0.0, -0.008999999999999994, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.172, 0.0, 0.12, -0.015, -0.12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0049999999999999975, 0.052, 0.05, 0.03, 0.15499999999999994, -0.382, 0.0, 0.0, 0.0, 0.06, -0.12, 0.0, 0.06, -0.39, 0.0, 0.0, 0.0, 0.0, 0.12, -0.12, 0.0, 0.0, 0.12, -0.09, 0.0, 0.0, 0.0, 0.010499999999999999, 0.0, 0.075, 0.0, 0.0, 0.0, 0.0005000000000000074, 0.0, -0.045, -0.04449999999999999, 0.0075, 0.11249999999999999, 0.032999999999999974, -0.075, -0.006999999999999992, -0.086, -0.037000000000000005, -0.0185, 0.06, 0.0, -0.0075, 0.16449999999999998, 0.025500000000000005, -0.09, 0.0075, -0.08199999999999999, 1.0, 1.168, 1.0, 1.0199999999999998, -0.24, 0.104], "iou0": 0.8821980276209844, "iou": 0.8821169910373484, "res": [[735.0, 833.0, 49.0, 49.0], [593.0, 670.0, 30.0, 47.0], [693.0, 800.0, 51.0, 56.0], [728.0, 812.0, 39.0, 45.0], [662.0, 748.0, 41.0, 45.0]], "hand_fit": {"chamfer0": 0.4368003402580028, "chamfer": 0.44532252734519184, "iou0": 0.8804768911641588}}, "9,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.135, 0.36, 0.0, -0.135, 0.11199999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, -0.105, 0.21, 0.06, 0.12, 0.0, 0.06, 0.0, -0.24, -0.06, 0.36, 0.025, -0.095, -0.16500000000000004, -0.04000000000000001, 0.0, 0.0, 0.0, 0.06, -0.03, 0.0, 0.015, -0.028999999999999998, -0.008, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.008, 0.44999999999999996, 0.067, 0.0, 0.0, 0.0, -0.075, 0.0375, 0.0295, 0.15, 0.0, 0.11599999999999999, 0.007500000000000014, 0.052, -0.0075, -0.16999999999999998, 0.0, 0.0935, 0.221, -0.07049999999999998, 0.011, 0.067, 0.076, -0.03, -0.0675, -0.03, -0.0445, 0.07500000000000001, 0.08199999999999999, -0.006999999999999999, 0.040999999999999995, -0.075, 0.7, -0.19999999999999996, 1.154, 1.0, 0.044, 0.044], "iou0": 0.8751058563543926, "iou": 0.8755941458632208, "res": [[694.0, 795.0, 59.0, 42.0], [649.0, 742.0, 40.0, 53.0], [810.0, 907.0, 39.0, 58.0], [761.0, 887.0, 56.0, 70.0], [680.0, 771.0, 46.0, 45.0]], "hand_fit": {"chamfer0": 0.683766744857987, "chamfer": 0.683766744857987, "iou0": 0.8755941458632208}}, "8,0": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.03, 0.18, 0.0, 0.18, 0.023, 0.12, 0.0, 0.0, 0.0, 0.0, -0.03, 0.0, 0.0, -0.12, 0.0, 0.0, 0.03, 0.24, 0.06, 0.06, 0.0, 0.0, 0.0, 0.0, -0.034999999999999996, 0.5900000000000001, -0.025, -0.055, -0.08800000000000005, 0.337, 0.0, 0.0, 0.0, 0.09, -0.09, 0.0, 0.06, 0.09, 0.045, 0.0, 0.0, 0.0, 0.075, 0.0, 0.0, 0.015, 0.16499999999999998, -0.03, 0.0, -0.006, 0.006, -0.36, 0.0, 0.075, -0.16449999999999998, 0.007000000000000006, 0.0, -0.0075, -0.11249999999999999, 0.040999999999999995, -0.03, -0.033499999999999946, 0.06, -0.004500000000000004, 0.011, 0.052, 0.10500000000000001, -0.006999999999999992, -0.21, 0.0975, -0.097, 0.0, 0.13449999999999998, 0.0, 0.015, -0.09, -0.05199999999999999, 0.8660000000000001, 0.9420000000000001, 1.0, 1.2, 0.0, 0.0], "iou0": 0.8795791406609569, "iou": 0.8783892472693212, "res": [[717.0, 809.0, 44.0, 48.0], [634.0, 721.0, 37.0, 50.0], [705.0, 802.0, 43.0, 54.0], [706.0, 804.0, 47.0, 51.0], [658.0, 750.0, 45.0, 47.0]], "hand_fit": {"chamfer0": 0.4429282893436877, "chamfer": 0.41865115513523854, "iou0": 0.8779220464387419}}, "9,1": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.23199999999999998, 0.0, -0.03, 0.03, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.03, 0.0, 0.14200000000000002, 0.0, 0.21, 0.0, -0.18, 0.0, 0.0, 0.0, 0.12, 0.0, 0.25, 0.125, -0.14, 0.14700000000000002, -0.1, 0.0, -0.06, 0.0, 0.09, -0.15700000000000003, 0.0, -0.015, 0.03, 0.03, 0.0, 0.0, 0.0, 0.12, -0.097, 0.0, -0.023, -0.016000000000000014, 0.0, 0.0, -0.003, 0.0, 0.0, 0.1425, 0.11249999999999999, 0.176, 0.09, 0.176, -0.011, 0.011, 0.10500000000000001, -0.20999999999999996, 0.07799999999999999, 0.0685, 0.01799999999999999, 0.052, 0.04449999999999999, 0.05199999999999999, 0.131, -0.12, 0.025, 0.0, -0.029500000000000002, 0.12, -0.006499999999999985, -0.040999999999999995, 0.06, -0.0675, 0.22000000000000003, 0.28, 1.0, 0.8200000000000001, 0.0, 0.48], "iou0": 0.8394576530997673, "iou": 0.8346810694065937, "res": [[731.0, 857.0, 69.0, 57.0], [659.0, 760.0, 38.0, 63.0], [696.0, 861.0, 103.0, 62.0], [732.0, 872.0, 78.0, 62.0], [699.0, 838.0, 62.0, 77.0]], "hand_fit": {"chamfer0": 1.6452097497613611, "chamfer": 1.0404163328780653, "iou0": 0.8404043095955773}}, "9,2": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.037, 0.0, 0.0, -0.12, 0.12, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.0, 0.0, 0.12, 0.03, 0.11199999999999999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.06, -0.12, 0.0, 0.21, -0.09300000000000003, 0.10500000000000001, 0.0, -0.015, 0.0, 0.06, -0.015, 0.0, 0.09, -0.008000000000000007, 0.11199999999999999, 0.0, 0.0, 0.0, 0.06, 0.24, 0.06, 0.12, 0.029999999999999985, 0.09, 0.0, -0.006, 0.0, 0.045, -0.0225, 0.0, 0.20249999999999999, 0.12, 0.0, 0.0, 0.0, 0.011, -0.055999999999999994, 0.03299999999999999, 0.0225, 0.05600000000000001, -0.097, -0.101, 0.05199999999999998, 0.03699999999999999, -0.18999999999999997, -0.014499999999999992, -0.011, 0.08249999999999999, 0.03699999999999999, 0.007499999999999972, -0.071, -0.06, -0.16099999999999998, 1.0, 0.25, 1.0, 1.0, -0.18, -0.18], "iou0": 0.869744062015607, "iou": 0.8680483337359475, "res": [[701.0, 779.0, 39.0, 39.0], [659.0, 753.0, 29.0, 65.0], [698.0, 810.0, 57.0, 55.0], [654.0, 760.0, 61.0, 45.0], [682.0, 796.0, 47.0, 67.0]], "hand_fit": {"chamfer0": 1.3336395859933479, "chamfer": 1.1230065236266866, "iou0": 0.8677860046885201}}, "9,4": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.008, 0.0, -0.068, -0.06599999999999998, 0.045, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.0, 0.18, 0.0, 0.24699999999999994, -0.10399999999999998, -0.06, -0.09, -0.12, -0.15, -0.06, 0.03, 0.18, -0.4, 0.32999999999999996, 0.4, -0.45, -0.45899999999999996, -0.5249999999999999, 0.0, 0.0, 0.0, 0.015, 0.03, 0.0, 0.0, -0.023000000000000007, 0.045, 0.0, 0.0, 0.0, 0.06, 0.12, 0.0, 0.0, -0.015, 0.045, 0.0, -0.006, 0.006, 0.09, -0.08199999999999999, 0.08249999999999999, 0.21, 0.0, -0.0005000000000000004, -0.007000000000000006, 0.36, 0.0, 0.11599999999999996, -0.0030000000000000443, 0.0, 0.27949999999999997, -0.08899999999999998, 0.0, 0.040999999999999995, 0.0, -0.1575, -0.05199999999999999, 0.19399999999999998, 0.055999999999999994, 0.0, -0.007000000000000006, 0.022000000000000006, -0.05199999999999999, -0.067, 1.0, 0.79, 1.0, 1.0, 0.21, -0.016000000000000014], "iou0": 0.8764704286754037, "iou": 0.8612143403389654, "res": [[636.0, 691.0, 24.0, 31.0], [652.0, 763.0, 35.0, 76.0], [655.0, 755.0, 27.0, 73.0], [649.0, 749.0, 42.0, 58.0], [662.0, 757.0, 42.0, 53.0]], "hand_fit": {"chamfer0": 1.263407750973719, "chamfer": 1.251194743952857, "iou0": 0.8614171800955577}}, "9,3": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, -0.285, 0.0, -0.023, -0.13399999999999998, 0.045, 0.09, 0.0, 0.0, 0.03, -0.06, 0.03, 0.0, -0.07399999999999998, 0.008, 0.045, 0.10399999999999998, -0.15599999999999997, 0.12, 0.24, -0.36, -0.12, 0.0, -0.12, -0.12, -0.25, 0.1, -0.32500000000000007, 0.37499999999999994, 0.255, 0.0, 0.0, 0.0, 0.12, -0.052, 0.0, 0.008, 0.09, -0.015, 0.0, 0.0, 0.0, 0.09, 0.15, 0.0, 0.03, 0.06, 0.052, 0.0, 0.0, 0.0, -0.011, -0.15699999999999997, 0.0, 0.16499999999999998, -0.0005000000000000004, 0.0, -0.006999999999999992, 0.10849999999999999, 0.0, 0.08249999999999999, 0.0, 0.0, 0.21000000000000002, -0.0375, -0.040999999999999995, 0.142, -0.0595, -0.20199999999999999, -0.08199999999999999, -0.0005000000000000004, 0.067, 0.002999999999999989, -0.035499999999999976, 0.006999999999999999, -0.10099999999999999, -0.06, 1.0, 0.040000000000000036, 1.0, 1.0, 0.104, 0.03], "iou0": 0.8836788528614278, "iou": 0.8816108304534411, "res": [[611.0, 684.0, 24.0, 49.0], [653.0, 718.0, 17.0, 48.0], [682.0, 791.0, 43.0, 66.0], [659.0, 751.0, 45.0, 47.0], [649.0, 731.0, 34.0, 48.0]], "hand_fit": {"chamfer0": 1.5612077221959795, "chamfer": 1.342585490673828, "iou0": 0.8819050505806707}}, "9,5": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.06, 0.0, 0.0, 0.18, 0.0, 0.0, 0.0, 0.0, 0.0, -0.015, 0.0, 0.0, 0.0, 0.0, 0.12000000000000001, 0.044000000000000004, 0.052, -0.12, 0.0, 0.0, 0.12, 0.12, 0.24, -0.27, -0.37000000000000005, 0.32, 0.6250000000000001, -1.2850000000000004, -0.26, 0.0, 0.0, 0.0, 0.06, -0.172, 0.0, 0.06, -0.247, 0.0, 0.0, 0.03, 0.0, 0.105, 0.42, 0.0, -0.052, 0.075, 0.075, 0.0, -0.006, 0.0, -0.0005000000000000074, 0.15749999999999997, 0.0, 0.093, 0.0, 0.0, 0.10849999999999999, 0.135, 0.0, -0.1005, 0.10499999999999998, -0.09000000000000001, -0.010499999999999992, -0.06, 0.0004999999999999935, 0.0895, 0.014499999999999999, -0.1725, 0.0075, -0.067, 0.138, 0.0185, 0.0, -0.10099999999999999, 0.0525, -0.004, 0.010000000000000037, 0.22000000000000003, 1.0, 1.2, 0.0, -0.21], "iou0": 0.8644178005827878, "iou": 0.8638921080548296, "res": [[649.0, 738.0, 45.0, 44.0], [617.0, 700.0, 33.0, 50.0], [717.0, 812.0, 60.0, 35.0], [717.0, 843.0, 46.0, 80.0], [680.0, 809.0, 57.0, 72.0]], "hand_fit": {"chamfer0": 0.5052783178665925, "chamfer": 0.4533100205752726, "iou0": 0.864495231145075}}, "9,6": {"x": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.12, 0.0, 0.0, 0.052, 0.19399999999999998, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.105, 0.0, 0.12, -0.06, 0.0, -0.12, -0.06, 0.0, 0.0, 0.0, -0.12, -0.15000000000000002, -0.16000000000000003, 0.25, 0.21000000000000002, -1.1299999999999997, -0.6300000000000002, 0.0, 0.0, 0.0, 0.06, 0.18, 0.0, 0.12, -0.16399999999999998, 0.24, 0.0, 0.0, 0.0, 0.12, -0.24, 0.0, 0.0, -0.127, -0.06, 0.0, 0.0, 0.0, -0.075, 0.026, 0.165, 0.12, 0.0, -0.0075, -0.15999999999999998, -0.0010000000000000009, -0.0935, 0.0, 0.35, 0.10849999999999999, 0.1725, -0.03299999999999999, 0.0, 0.04749999999999999, 0.0155, -0.040499999999999994, 0.0225, -0.040999999999999995, 0.07500000000000001, 0.07799999999999999, 0.026, -0.16799999999999998, 0.071, 0.045, 0.040000000000000036, 0.46, 1.2, 1.0, -0.12, 0.0], "iou0": 0.8501087507534141, "iou": 0.8400370881152839, "res": [[608.0, 719.0, 60.0, 51.0], [659.0, 751.0, 45.0, 47.0], [764.0, 900.0, 66.0, 70.0], [731.0, 873.0, 59.0, 83.0], [645.0, 765.0, 47.0, 73.0]], "hand_fit": {"chamfer0": 1.2148723200101215, "chamfer": 0.9520040592044305, "iou0": 0.8438195544958675}}} \ No newline at end of file diff --git a/third_party/UO_Model3D_v13/pipeline/body13/prep_views.py b/third_party/UO_Model3D_v13/pipeline/body13/prep_views.py new file mode 100644 index 0000000..80b5b6c --- /dev/null +++ b/third_party/UO_Model3D_v13/pipeline/body13/prep_views.py @@ -0,0 +1,43 @@ +"""from stage1_bound.blend: UO reference (v12 skeleton + mesh) and per-view skinning matrices / camera / original masks""" +import os, sys +HERE = os.path.dirname(os.path.abspath(__file__)) +import bpy, sys, json, base64, zlib, numpy as np +bpy.ops.wm.open_mainfile(filepath=sys.argv[1]); out = sys.argv[2] +ACTS = [int(x) for x in sys.argv[3].split(",")]; STEP = int(sys.argv[4]) +sc = bpy.context.scene; rig = bpy.data.objects["UO_Rig"]; body = bpy.data.objects["UO_Body"]; v13 = bpy.data.objects["UO_Body_v13"] +cam = bpy.data.objects["UO_Camera"]; sc.camera = cam +ORIG = json.load(open(os.path.join(HERE, "..", "uo_original_frames.json")))["frames"] +bones = [b.name for b in rig.data.bones] +# reference data (rest) +rig.data.pose_position = "REST"; bpy.context.view_layer.update() +M = body.matrix_world.inverted() @ rig.matrix_world +U = np.array([[np.array(M @ b.head_local), np.array(M @ b.tail_local)] for b in rig.data.bones]) +kb = body.data.shape_keys.key_blocks["Basis"]; BV = np.array([k.co[:] for k in kb.data]) +names = [g.name for g in body.vertex_groups]; BW = np.zeros((len(BV), len(names))) +for v in body.data.vertices: + for g in v.groups: BW[v.index, g.group] = g.weight +BDOM = np.array([names[i] for i in BW.argmax(1)]) +rig.data.pose_position = "POSE" +Wm, Cm, masks, keys = [], [], [], [] +acts = {int(a["uo_action"]): a for a in bpy.data.actions if "uo_action" in a} +for a in ACTS: + if a not in acts: continue + act = acts[a]; rig.animation_data.action = act + for i in range(0, int(act["uo_frames"]), STEP): + sc.frame_set(1 + 3 * i) + for d in range(5): + rig["uo_direction"] = d; rig.update_tag(); bpy.context.view_layer.update() + dg = bpy.context.evaluated_depsgraph_get() + re = rig.evaluated_get(dg); rmw = re.matrix_world; bmw = v13.evaluated_get(dg).matrix_world + mats = [] + for bn in bones: + pb = re.pose.bones[bn]; bone = re.data.bones[bn] + mats.append(np.array(rmw @ pb.matrix @ bone.matrix_local.inverted() @ rmw.inverted() @ bmw)) + Wm.append(mats) + c = cam.evaluated_get(dg) + Cm.append(np.array(c.calc_matrix_camera(dg, x=136, y=120)) @ np.array(c.matrix_world.inverted())) + masks.append(np.frombuffer(zlib.decompress(base64.b64decode(ORIG["%d,%d,%d" % (a, i, d)])), np.uint8).reshape(120, 136, 4)[..., 3] > 0) + keys.append((a, i, d)) +np.savez_compressed(out, W=np.array(Wm), C=np.array(Cm), masks=np.array(masks), keys=np.array(keys), bones=np.array(bones), + U=U, BV=BV, BDOM=BDOM, v13_mw=np.array(v13.matrix_world)) +print("views", len(keys)) diff --git a/third_party/UO_Model3D_v13/pipeline/body13/rig_poses.npz b/third_party/UO_Model3D_v13/pipeline/body13/rig_poses.npz new file mode 100644 index 0000000000000000000000000000000000000000..61084e1d6f27e3e9c2d5818ef02f7cdc1bcba129 GIT binary patch literal 328050 zcmeFa1$Y+6`aZn4mli3-2Y07Pk!;ZxD^^?v2~G$JE@6=1PVhhmcL?re2=4B-xE3v? zP~m%@d$Papl+(1N|9xLLxjNSclV@klbjoB@sZe#|+lZ9FNMW?> z;^Xa~-^aIi4C7N{cPw4a&L`FQzIx4uF^nEY-yE&I{ag9v_=@Ey{e7WAIr6d`ZMyh% z^K0SLyo+CJZz`zNqLaV3>$!is7QWstIcK4gd2{7u{n`kqYyEVXhKv~&HTI@GS4>rZ6K#-cVIBdZkg+{SF-l3V{xUBV;1 zsIIM>{fzpR-}R@O>kp;wu0N!kZ4W=!&&^$bs4e~6+4aY+-^TTGmx$+t^JjHjkCCXq zR8Bfle{BrckN=hIzWr5yYe%$t-~Lklzw57!Nzi}R-~TL+phreNrTP>PZ6kh;Oh1YN zyDr%xvU;wf|LZT=m^l8bZe)GAO5UfWPOONZp}Xo|D~U|No5cJIIiJe+aCHx zLIQTBi2Tooewz~SJMvl4ysYRyAN~=&cbp6HYxhp|`)~@{=YG=6Gp?w67>q&R? zcV^00@3g1d|CwMf8PSeK@XO;Z8i0St_4CwT4!_-!@ctu#-)gJ*tqt$+@0-?w>Z>0w zy;uD4cl5VJUViwOU7m;b$7<=poFov8WWwmg)ceW6c8 zT)3#9zY*boGs17;|M!18sxRNu|0<##;ec;SjPk^9y8I8>9Ps0Im;4{;zwGbjDzx=5 z4(%*T?cdk`cE4o=zZmxu{7wERezW4!KMV8kys6YS3zaiyk)Lvc>wy6DIB=ED0 z5%E-T!d>#SD1GJ#wP%$d?nC=;cCI9TQQ;xRhZ-Dkob)vo-QOrp ze?RO;RU=9Nr9a`4{fUq4PqK8`pYUBNQu`C16ZQwc%l^bq_J{1UKluN`{(s>Ar}j_Y zI}><%KiEP1WPjqf#)XH_^T_SbH&D45VSlPe{dq6@|8d(GcwyFPd)t`MwQclm;pgqs z&E7kH5yOS*N_PI|d&lj{sZ8=Va95*75_fC0& z2-)5uCyJ2mEJ?%}NxOMN>g?E*U%ZP|`dTaIo25Ruz4Yd^MQ*Ou)Vw&nQt4-vT?)9?1fmfy|o z{@Ks%{@JqKKU=o@XUlf~Y}xLgE!+LGWxIbiuibrHw(HsQySd#z`?=jeTekaW%Xa^4 z+3ue$+x@d;yMH#1-9KBl`)A8`J6nD?xBF*5xBF+ycK>YI?w>8&{j+7ee>Se&KO6U5 z+3v4hZui%gZCqQnaqWKDc(!cg*|Lpi%Ql`Z+jzEKHlD4QE!%p%E8Bc_xy@(GHlHoq ze70=sWy^NI-W|ZUZ1dT&&1cItpDo*bwrum+vd#DI+G5K#pDo*bwrum+vdw49HlHoq ze2HyCM&!0^^Vzb^XUjI9E!%vyZ1dT&&1bKbHmxn&e70=!*|N=N%Ql}a+kCcc^S!$! z+p^7P%Ql}a+kCcc^Vzb^XUjHUQd_Zz+?H)VTekUZ+2*rlo6nYQK3jg5&mK2+xjk-d z*^X;_Phxk|mhJx8vfV#hw)YI?w>8&{j>KzHlHoqe70=!*|N=N%Ql}a+kCcc z^Ch#1B63@{`E1$dvt^slmTf*;w)t$?=1cw#pDo*bwrum+vdw49HlHoqe70=!rFe(W zmTf*;w)t$?=Cfs+FXcOUwru0svW;iUHl8iNi)Z)$^LOxV*~YhJ8{d{~d|S5hZP~_8 z^$xx*+xWI@0Z_76R7w_QNvW;iUHl8ipc(!cgrG5u5O(e37ZXUjI9E!%vy zZ1ZJ!2hWymJX^N$Y}v-MWg9Q!J9xHiXUjI8E!%juY~yAABb;H&Hl8ipc(!cg*|LrI$CKT!F$Wc}Pj>NK zXW~v>TG>b9@jWz!o&Wj4?mdshIM}(~PqQNb^l(S}HtTfFiD6`q1Gkq@ZZ-}M_9EHM zNxaF?ns~(L9jAgfbA=(4JC#J61yg~4`S@_cWqppeaT4FDemaF?wiy`={T7uOOt~st zWU-f1;D3R`(gb!Q9?|E{IN}x6I{Q-YSV}st4B?rJTL)6EvM1^8D86GIbq0ucyfz*B zb-psviy#|a!V5QN&?86T>ZvdB@yi`CUR0a&t(>&8+3-+T!jnB?!H+!gLTBS7a@9Ue zNzYa@V85x)Cr~cNFJ9o~fu5+wJ?jyVSh;=}@u~&|T2k&*V&B|@ANfn~p}&hAC{#y&x~W}Zxb zPU5>DKdNLV=rsU(Hd(6oIce60kpAvY;?5|{ry~Ap?Z@erJ3DD-c00pR(nDmOi+!AI za)6?2tVpgW*Z$Rv;d0&nH+P`Kk*&!Xm5u51w1E zAM_?XS)c>PI}Z)$I;i7eRnxLd6chM(+g2l%b0x8CRc@|{QaIil4|PQ2>%KE#jt z+cHP}C}-URo^?Av#-n8>Zb1Hwu1QVLgnfXhczqf4%vahY>!T^RwIMzkl4cU+yx|ed zuTI(7%(7yfmkZ2_+e+U9_*|<_a&%41>Nbn)$b295q+E8->5=;!Ggtl=WLI9`2;#`F zf}B0y?*SE^2oeubdS*md~<_vel@?nf${0; zf+I<;^7p2=bj1ngRr9P*N0Os!5=DCJ57IXm!+t<4Ke&+W>+Zyc&22aM|vMMv}v?nA6dK^{ouE23-rB5mjVks;YTxk2i8OD zVSU^KsMJkc!=Fw$()$(88K!S}{hm5;I!DL5Q{8k5M^3F60Q+ruihYiiNqA(R!{;-c zGpv$paeg$59ck;RACoMtNO)prow1bjF>kSdb;@oZ8;-fC@l4onyDxrW(<&c?bEMn* zIWQ3WNB%q`{Kz-ib8xEB0Xs%>8NLKb5oFO43)ZUDw{r z16@&lrj#Z=K4v`TbD8U6Uy_|lvc@*7zw%ZJyrshXns7q;+PPP(@4a03JohPm53p}X zw7!?)iF)=TeU0Ge*bi76XL{t^VP$<=i~MFaEQB~RNA&sLNk7Uj8rCPhSlYt4ZxqK4 zH-(<0YjjM9{cujUyef4jJ!P6j0iMv;>}j?PbMcvHTj=|i;P#HbM`k1M`;s1(lDNMW z=|8LP3B5j4i11|^yLYDDoTDdN8Q%@kQWDW{`e<4{8<~8 zXA$t#oqpIyi8KZ4ctWo~>x(Cz$;*8fkv&z%#`7rWw+49TKBsSaf3mCE`Wfa`p4hJ= z@jI2+{e1XtjD1xd_%eU_rAFwdzZ%X^T0-JRrvx14yaIVtshK=&@W zoa9xr7U}tPd^gP7YTX?8)!ll1D12UKHR9Fyoxz`G+u2cqp2F1)u z@#Iu8r!HtfaUpZw#{P}5xQ^b#JJnC8a8#ArSfA9_xtEb0dGlvuoE#UC^^<4+v_0{e z347vuHgnLYB}jHE@k`fhlO7gpGzPeZ-uOC+?^HjX!eN2&aWBUT-&qYk7Zmo$eU5SY zO)cV+3t#Aavs8~9T_26-Uo`P@;j5otLO;1e-^V*;w~q~nKW^ER^fjj4(D&s=gdTh9k2tn?!MH z&C1({{HLn@(AN`w{MhX9zuq5leFo-LvvsXWKbWQTW`e~$}*?MXa>220xUY^j`T>f}4@u=^+ z;hZkLGqiS+*Lsr)>%2^PO24;ytXh+P(KU$?wdaui%%-KLlAfws#fqNLS2k*<_oq|O zV|`|G<2ZVc%`O%kN_v<*Cgc3bV;LSfPkpdBIj|1<3~_Nv2>f{G#bA&4an=xgS0!HL z!1^qAz3mz1pb@OB1#z#+L$gjHT$Q$Av|b;L9m%k6h+N)SAKASn&fcp;=9?o)x{`gx z;p{l4tIiWTI_XE5f1#h33*VejApp2}W=HFLa-&diC(_fr-5KX*S*aK78=3i?dM?_R zuS>jYNDZu$#`aFm?nB}%Y(ajs0@q`{W@T&P-odHruee*U4~4IOUkpFW z5eIgY|75t=dQbS#3YjwjeARs=<-BNYNB66|%e5I^E?id0cQWCdDe`(||K{TQ5Q%SY zxr_7_Wee^ieGOH^BYqT3)?mF7E57z8UNtgdf9i)*NpxI01$r%g+8wy@{Bb|$6#mDC zW5()^@o3C{yr1mJvSkXV+}+7MzYFs!A94lf4r5dPnU3;~Ek2L@r;G%cUsc^@qe+gg ziKjY_@u&_>Itn{JkF(uTdq!e7S=_>T&J3-i&v!rlh;=NI>QR0yMtI?#k@pUsPWqVF z%1wyQel!vl-$VMzv!5R)eXa5rw@~i(bnAQUCt04UxX)1?UN?8r&MZb|{GN*P`+hd* z!#;Z+t$&YI)tdl6ipMXG!G9GFZ1#j7`HE9DiN~xotT*Md?M{8)>QDgjb1S5$2|u!dDK?T_-JSTo4R{}+n#Qb8{A@w$98U6zY5mI) zo-9y&D&dQE@x3XJu1R{$#duUL>%)({_)3qAN8_14_NhGK-nOv!kY63$hnT;Z@E`AX zYZ>{^{G`v&=ZW5bJm3?YAFavl;77h-%UVz9E88c*y{cMp4&&15S03j{ zrxat?znDyZWIYy6B7J0vvG~5zDg2KO$4Xv8->FuFUg;u^=Aq$yvVsGl^FW z?(671x#`n*BKb|OUxano8q}x-@kH0e7JPwy4r_5`FX^e;Pul4TeR-aJ`2A9=cnm#W zo^5yZeT3S3dkFbasmhpF&Dfs^Pw4fb;=~*_ANQ+P=xm(-<@D(rJfW|dZ2`ukxOf8V zG0R)m(S3-FUv(P%cziPasGb?EJ)zf!@*_K^$D<0Gi}xMYO&HQw&hh_j*tL-fG(fkKE^|ONU`sGi0qk zKh`KY%t=2Q-4!*>nGK8pAJbaL3oW_&06bK-dz+0RVfYB%Z0FKt-o34KLKzaZkV z^6PVsx#u~~c}}Tj#hng6va1!~N3o$zdD1hwCbld+#-sS%Pmx{Ci`6`G?y%C;)#D>e zY<+LmW}~BiG>)#s`H^Q_gL^-=J7XLmV$@>it1>+WMbn!m^2LwcG+r>*gXzFf4& zxlV2>znJ)}+Xn_a$tw#K4Dxc}@`^?06E5FW5A(R|$LN^?r{Mf3#y>wu`l|MES37CX z$c)BU>={oy>}W8?i#4!IUnhBG`LxoD@FzFMK1!WCH`Gb|$n^S9&&AHi7?1qGSK*|m zT3W#)_vC!Wbl8`L#s~p#y3UT?16ZpD1(P4u?c+Fi7y-}wM`u4;3wmOGl!;Q}yrDjs zvB?wq%BFR2{x|lggPr-{eHF>>P9-yS1?+RwhRb-LqPib!;R(H*>VK4R!WL~N`|<1D zc9EWDhT#~OQO1d41M7#=*q`!xUt?aC#j9{9?aWVE(@8IN_Xq5!xJ=m7N&G0P>-OrR z$fK>KuMvAA)<@&eF5I)an^^iS8b)^IITz^l@n9=IC+%!DO^Ewd>qaN6!#wzF{eH#W zihUq_kv{Qu_%Zm_0kR`I{mD)z?HQR`yyfFI#KX7g|0hK*I_B)W*Rtp+(o0p1gYyjQ zUc0v^^omShcR%MNO2Ch1mkSt&mTz~D>~qY)SujpS!fRN+WS_Y;owPF>nt3YuQG`y# z?*XYdb))yZnj-No==v3(8Gf{qgdK;T1LCgmguZHFcKkaX*7FJY{TXvm#(_@q@(jxY zy9!$0l(kDpN+u1vP1BZ!~As8pX_QbFN=MS zYBIB(lXhkcf13b5R{sU#k^i_ji<9_~EB0YZ*vW8xFL(bZ%&W5eYS`D^z2RB&!GGrD zSy&&kzS2PjJ7g%B%yAEP8>HU!!Yc$q&JgmZ5)NPK9qn9J^azS#kr$iSgT) zvuK>i%X0#q951F{z-;oHIW!mU8Pu*0qocDQW$~ZjM|PtO-dnMSB|AB3&&cAzO#Pc) z7x%@-JkEFJsN*EB*)M$%`OW&VDc+AMUc9A~_>t-Lp`M%Vl7^GMa%3bsx&)WYO@xne&8@a_fib zg7WB^tT=ghLBDI+4u!dt6ayZv@QA*Rx6dIy^?9SA#K)494|bF{b@s-DFRSW*&q^#w zihZl=QM62aLR^eTm1;i5q19pp&d=^vR`^YpWM?bs1k8JCXNKuc`cZVBfbV_G@@KKn zVV}2~LVVFRnM3OACi}5eP4N2wYR-aCPv|Q$H^h0->YoPh?aj2^`#Q-hVwE3EdYKIe z;NDiv-#47(=$h2UY?xQgsXg$$93K+0#z}idW;gcLcKtpnNy%AeE<>o%S8(? zPqVmRz>j=o4@d9eKa{^Bb`q=o~ zG%uG;Me;cK{#cb(xNrDCW_CYqg^uu}Og;|tD(}{NnMeG%WB6hI1pUp550IdPSnH`ycn5roZcm7lLz#xR}Hv`y4Y(AkOE; z;3Ak;Rp=f^$D_P|WFq`HuolLhhdO+_rs6UY6m}>Q`ULp_jE-5>{uU- zrRnj$p2ytL$I0=+el8G1e&pFwVmylZ+Z{chei&~>&T8IFh{-#{nFqY9jc?^n&BAsCOmd}HvrTdxm=Z{`ZXIZj=TQH=a3 z4x|c$Ki%9R=`|DQI$l%3zGkJ|dcAarSB7`M`e>yL(BF^j35(YEaw=vX?Z<6f_tAJT zb96l92|pSS_5X{k7QMuKWEFG*=Mab7Xc(2(>U)4)clCSf%-QObe$h3Fz3ugVwYqwO z^kli)ob-er%{zr~&fsS%VqO*Ok)wVThgM-;KRY?QLyTmS7o*ilI&|Gj_>IGstj2+g!C{|_JAJ^Bec6G^!iZaT?H=2_Y}P5X57oE zS=aV@LSHMzLcJcI%!oKr#Wp*-pJW3Dk03o*%`;=eC{C{4EawTmK9nEXfj5}fSn3ggo$JE#DzzsK=q{=h#w+0i(0s-I5bST7#oI~g%O z)nxLYsp?>V;1qtOI0=?_CHoq6FTsB*brI~hBCQ|A0@1vyH{pwp6|nA#?j54_eGaef zgME%Xd}AT}*dg6A%H5sR9N&dxXY=0qS;VK}e~xpzQ@o;Qx$(gLAH(nZCgL4rQf{*6*#@ z{tWB3xJxN_cVd@6$2c+OWm`*p+@~(ak5jy6%f+~-5^4POeDm4c{$Wmm ze~dUW26rbrvMV!TPvQN|N>BJv#-1||b{$^|yfUm{BPV%f`-p#c@Oirl#3L4GjMjd% z&T+gqGH=zJPIk27{p6AHXyndPf$YoDdo7_{mT2PW{)#6lg7ud3Cwd=OZ*#QX=g1r( zlgW-oaCf}tF^*Mp)Sd+WXNe!ok9EtE`Idrz#({QTe^&7yKC|Nag%FJ%Fs9V=d|J_B8Z$PvVh-KEruK9L%flK^-C%O9x>*s*FEP zB_8#5U9{fk7|D|FB0sXZ-)|&+#TPxdQ10#|_xv0T`>wc(_eyNW;~`G+@_jyIy-10m zvG^X(TAk0)dp~#EC#v{z_A)&lLo#lFT_;ylPTDiF{)qEu;XkWWajehm%IpMA@~V^v z2a+FU?ljo1^0~%flA~*4%LCv?ONOi`J6gWq?{w0hk=aeu>W}efh3Wqf&Me|L+DSXh zZ1Lw1o;hMP=2hcU-^@k9Wfr+)y?6a&{u`ToJ2hGRucHr zsC(Sm-wXJ%MlUZHJ|Eiz@xg+^@ZKZ3`jPdoi+NRU8He#`z1#Gv(@(Q&v zuc~StYLVTYN<5+de^_K_CQ0!k%IpiIJh~?KdsmD{S^V%O(o;S-yV4W-is$L@-qEV{ zHNIz4UxXC$a?;4=0NhV0?}E5DV!!Wnbi6y+RVT2_$KPu|b_<6ejlgEBJmE(pUsLTz zpF{Y4R_66peJA~>Udc(o+j>*atC^?w^N3zfIOQK;nDYi=pCe&mTQ_kWU+D#=qF*?;O=oK&k=bS&Q8y%jhlPTdxYg>1WM?Pk+ zNA@{9Yfbo13@(hEHSVVG>m4$xHRue^i!Awiy&n!>!V~f7Q1_z@BiHQE=f`7*vCm;O zS9!*dK5^hbqkj&(kFbV@_Hc4MvfTZK5T2~K0r*DFsnObxJV`_7DYMkrP4OxoJ;Qk` z$^j9@27Go;>^u04kf8k#}qlC+#e(9QaOz51I^oqd?rQPU5@UK2gOtZv^1p zN@i%kmGrb4ZIqtSSKchp8+;ctVm~R~`gL=XSFSub(#xd}%Q8mqi;sVTd%&pL=YOTX z`g+^~($`v%dn4IVes^iEllF|v4(6sLI0u+3cZ?%Gk$6ZOCwW<`B*KgIy4?`_R4ezT zX#IT-3(JV_9eM2z>&T9L_&1B4v}a^~G|t4w_uXuAC;WbZS=PIOle~P@HnG0TK{6Cdx}%+c{E59Dr3eq>$B zz<;uH!Dv0N3ZJBdNni8ggM;v2vL(lnN9q7)3S=(*?~{vNxpf@%+Fs2`UXi%gH0ZVK z6~?_8ccY`S13jvY*Fy7v`?1y~*xQ zCG{jR?sM3UgScN%6VJEwgkDbdKdLzL!jv6kKUv`STcoF|)8)1&^i{Qf!nw|v^|~+d zSpi>sNBwXr@t+FLAw26BU+mkg>t4N_#CNKnPT}xLcX3aynx%h4_GFFHA$JNtG8~?G zGtQ5ySB1&2Z<#{)-ZZlMQGG7Gdm}#hn6>K&pCuXHBs%+%-Fmtgdj1fk{dg;bNBpRK z&f=V|YD~iSiK4l{JQ!7fMOI&amkj4p{%}Sp>1RHjw{^!H;6b(kq_uqpA_smi%blpOTIEteW{dIms)nroMzHShu0X!&|%<<0QTd@}o*( z@`?GRrwVNcKguiJZ+JpqnQHvT_E&ouvt>hx1^2M<53Q{ zG6(w3hHW`oiIx6qt`{YOK>qU<};YVIIWGV5;bE%gRugrNxpC=u%rdjX$IKsC=`eEN{ zjqE(i6M8w+{V2m&k5l6NL-Wo<%%^7ZN;q#t8R*{zAJhVBTD6%p9z^q&@S_^@W^Hti z+Yf4Ncaj%x20t2eYhK4Zw6EQ&fBooAgS!Wtx7rRrnrW+ECI6{_ept8M!}c$#yDY$S z{)Y8YTw7qlkFlDp{&zgO%i8Y4<;m9Q_W@r0Fs~}3FYY7V$M`R@TP#o~jXpo_9H#d< zXG{FMKDx!w?gf?CJ7Hc`x3=Ow&NTd&{X4I^*XHg(7v-h|hq-{+8HIV(EI(uAzkYOw zrQM5Zs&cr0lvM*Tukv%L{vD6*HMx7xf2xH0Fdk>S-se=_{_j4=J(hMWs@b;`zOS&d zKDtTssmK+u*c0=rC|p<2e6IGL{+9U6)7^rchmigFIWIl0=3MU)eXSO6nu2$06YQ6br>7=5=|`(`3yeSB`SX!sF8!<* z<8{15Lm!e#)`$~z$bPchWql8Dxxb_1A~LhdSL?fweOdMVdVbA5q8-VOr4}(plU~-s zez>pVulBZg6yLFqIs?RFKS#Xs1&#H*n&#C)(%;>Q_Y1^(db4xp1!P~D_NyQ#?JTE{ z!}u0Ey!3Z@`O=Jc65rkSi7GyeS!)6L&D!LD3whsfJ#sIn8n@SWE$z36?5i?$z_^TR z|0AtGAfsOQ8(f%2_^fN??vzK{v^fdxZ`iLD;76nI5|7;H@UL@BB)eMeYiU3F#R_!N z&LX@%)_HX!1N>;s-&oTt+B(s7ZhJOL5W6qwfB#^}9Y^DYy8JOE{@S-E*-=#c4f`C{zKloC9Y(qxgW<0w4ELa!81FaaO&`5q9o}I4zkdAKy!0OZ=_UG--_&O*t|R}h?6iOV_#Srq$g0Sn&f)%% z9jbMW{3mL3n(?n6KQbr1Pj`M^j(bftCpCV*!<_o9XYNX9|1-4zZe^M^^*wp=IyhIUa=W}eq1S)+ z#4}ICqi*n{xhMPp>1ifRsQu|?dXZoX{(VW~i)7l5&zjWra*$I#FBM35JUnPJ>BWq$ z_`cFXijNA4RZ6%E_PbsGH0i5mpWIKmyA$gaANPS`b-S*_XR5IR{cwob%#gc3;fmOC z@$Wl`fJLJ`p_fD5k1`Bb0^?Eb+HnGUC;L9!6Z%Tt5Bp?U%X^ZStJl{3x9yzdW$_-h z0j{;M8{x7A$NG^RU6ZN$?Iiuol+%xrzVc<(t(3bv@s<m+a9 ztd*0zZ2N-oySK@y+VG>C&~+o}$?KNFcl7Qhb@6N~iT#K1 z^o{<#fV)XLIB93IWDxeNJVhg{!&c^}eVxR2w|%0DuL29gk8H-v&7`MUDj)6zqKXsM z`m)34dLP;M3*`JtnPyJfnO#edb=R1ESN}T}X)Xjhi62#c-Cf@*pH+{?x2d*}o?>M3 zAW!Ja!kWzj&!JMVv(czSRVR7P-*V6Na_J*)G@1?EDH(j7#CNw}qKYqm=n6kt$vbQ( zJ$Z{sdcKP)P*m$D4#MxV^DL#Xez9>ghB#?wtIKovQ5;LBe=p!kr>~vFkE*)vt}pYR z*y`mXu}-i(q^AsPtH+0%iKYKwe1~kVeu(eNW%jC$-sc!ec8(*xE~#e*!&@DNI!Gpb3LyHrrSpPyF1CI0|oKQgKPXK=QB!k%AHDb+ms=s2OC)< zkZ{eZxto$4ZBxU(%ScaAe;Dp_th`w~@_mjtlxiq=<4heyxvY{C_h^pU`Fic%-Z2Hv1tMO4 z{C=`ib{1FiV|B%?hwQl)`(f)?ImAm;?eo7~Gk- zEbybXXM?Yk@nbFiWgy|PmlFqskw14GjMjcsN0lCrY39s=9fw`%>ZCm*i)WG02m4i{ z%Ga3pczDcOPV&mi{v!!bRsIa)-a2{%^LS+a`Cos|#_RuQT0Ji{gY@Qov*5j}+x40g zuFwB_Qe(d=cGq_F-+3@ICKIHOc%2dBUB)WF!`!aaha*t;a$#PTPcAhgy=A$&&Yt5U zQB8FFZ8-56(_f6HoDIxb$Vof%PdDKHR!u#Q{f^A|X@HaXk*M{-9xJ~NSU1d4{e#G! z>ezEf-{(fAm{bYd6Q9v|E6xS-tJ-*fA6fk*2j#u)w{(RZZYKU$BKz6Ut70_S$8tj4SLMqIEW0p4LQP%&-H5Xz%%YLjvb z^z-dMoBU@kjMOJ8eC z{*0EXX4P1+^F?Tu$+#kmJ$xIH;u|T9uH9R7%kSgcJBIP8VZMlgdUigk#`o20HjH8P zF#6_b?d{*nFUMCbN9i^ta^z(>+H~>j=GVffc^ALd-t@dui%$ODuIK*kTKIaqJWj77Zg$Mjq!U3H9} zi$-hpo17Uv@Ea^L?n9J|oqZ0XUfwX^hzxahQhlR%FO-|7mLDfsW(!?L^+ckQ_;Q=Q ziV1#hEjdEZ`LfT}p(VC;1ZP))`|hc>0}RK{-!V<}|f;rN87?%b%gW9NuIBwPWS; zLT{F~=pm9-@n3%c-j;@EDHlKXYfiju$DGUCUAeXTbIre^L3kL+Qxk8b-2C?LNvdyF ztf9+)9CeyxRq3`5o>za}67^n%zzZr+YmFqeGYYlbOYK*es;mH?QRcBOUw&pL;jk~q zqnu4I(}VD=iMO@=J9bBW8ISkEjxs#GzOjw_QroYV?=fm`49qE+4Y~ z2+3w;Kg<)n$;#zaPqj_}eyNrpA=z4y6zvRS&vL5oN>Ax|WQpJ32z=S4Uni>1uO>x& znXTR+o@Kg+@E=>d4)X_JzS@`UqvD>ZLiP~_FQMF+y?G<}cf^2QM8@-H-iKe_O9*~5 z@9&eTy}Yv-@nwXcISITg`hVP1*BU`)+g`SUUjhc7qxe#JT7%z8oD%b&$S`UV@metr z#Fts`80;fjSvnqu`OOFJ$z_-a%%+V|&e{(@K<$kA=jIc>QGEp?J^AO;QEt_$7e?(= zVeLONM(#}{n{fsD&-UFu0r|;v#JTbFuNzSRVVAp9+yvl=(!*mwcKTaiga1f?v%fDLYerH9wJVpCc~jM>c3=S9;FR zA8$rDX34}TS7#0$rRV083==4~9=D%D<zc0D}GQL!R#y5&4MZAmNXLb-SD>?Nr@w0Q?wf{E#dY+z(yjd}SS$hXn zC;Nz#qfxGMKHN&>{73IKlpEJloul@y^q2f%MRxc{yg4wJ>dQ{|5MP%6&+wNuWjD&z z@F|e_R}AsRe;js};>#TR<0Ik|tA4@!p|1J}@W;uD_>xaHYx|d|47-T2rS!T}KIL}e zQ{!}e$)Q6KUn0vj9bXHU>iC*oO}FovY!~73DjN~UYQ#akk61Jp`Wsuvo}+SE`yhB! zmm#Z3X6s(-`Kv|f4dP=BeRoiNsg=))ll@rnnZP%{&4F<(c3;->LcH$qFYE9l%8g37 zAgcl2&LxjgJ+CwW zG}zZz1+yTYS*{__-%6YuDvrV&5F25}Udzfv`tcCqnlq*2?<1_UB zT_rz@`O)ko^uDJ1nnBcFHGctqkz?6n;GK*&hV(G=6~KI;Iu%2?QSk9Wdd|D=m6VG( z6<45M>B1;iQ&JuFay^$76U?LMYNvky<<{D{u&;4u4%Sz;Ou_$Vz;M{fIF&{77dx!y zuVf`LzlyR67gBpydP=yFCHX8f+OyZofortuvW4nfc?Vz~5wDgYzT|rU%k-QVeb|lc zW8^)8_+r(Qz<$OP@6F&@vkLn#d2PUjFsk=A{3>=T=*J)41)nu=^Db&<%BIJF7o$G< zCkJ0SK(f`3H6g!O=g5Q(v%uIT+eHC>1@duc%ET7_Y36~%G3GTwd1>oVxD&W_}B53 z|0M9`RY-tvBW`QLj~RvX9C0>G`W&F+G0ce}?wfiHzu< z$$xmS`Aa-_hW6~j8XZ?Lm%>hb4LeT#VC73|`+lp}e{rpBGx+7g@e>qZZ0GOjpB4X- zp3hIe*#!NQmdE_XPHX>KiTh!GW`&XjLcfg5Fn?KJR>SBu)e7+<- zt$aS3zgk=mSoe5OmDB_3q*7)iB zsJ_@*WjH;z+Fl<;xy*PM{xzqMfj!N56Y$)qQx9=!f=0rRx$$G?m(>ufO{Ut4?^5uUg<71yPYH)b7T`eKPf-G zpP3SX{TIvoNe!|O^ID2>^IQ%1kKdS%xaVCGyx;ySh6#R=*9-j>^~zx$lcSQJp#JbP zdVXi~dO|)G`FV%^V(AF-Y+uE|uYCjz%2zSw~$r@~ya*(Qv@fBy$ao~NMN9(ukjUGQ82J8E;o8u5)YN)sF z|5=}zRG%I4SxUTYYD~nJu_%F#uO`MB;Pu^tb;Igk8v8wCYO;IuTs25}o7!2+bL}L( z%%Ly8B0XhMz5iAN_U=TzS$)By2Bd%=#J88wKQ*V_Drzr|Cs<86dzL7e>T}~;-T&5i z57Kih){hH-yKQtP@H85La--eCJyc)K4qr_5MDCx*kZjh!h;mlG(QJ~9>o+z~xe?4t@5!u^CyU0nD7=N7QHWHHe{QQ+&-@565`4Muxb;UwC#V|jK{ zJ2PIgqr}ICSSUAYA4R-b11q&8zZj#2ox%BWe0ju|^e+Uzn2*MXQhPqU1>#FC2}ZdH zxqpuEj2n3eA}?MH_0-W3k4Uy|y|_&6gdsN)zNk98FzIOx?EwFYLDRARsnFb5hq;*t z_UDJT>GFCraDFfzmDKa_;&M~K^GRKlTb(~YNcd`G1H_jZ9uM(lY-x^i#>?zSKYR*6 z4_+VO0@7>fP z#-HAG9X&UHe>s_Qqlms=XSsd#{Y3g=n5X5+mRQe>`dwguwUnI#-nrz^&-6|^Cyd(v zO?Nn85MT058$Ca)n+E&K3gr>k^6EfI z_)^SILwfQS4^b}4)(;_EV{gq#$mdj9MLA0tj&k-=uZ!yb^3X8XbGg6TS}M2Be~NN` zd96PGze>7)VPuV`8sb$e95o+ z-X%U!cV>IC4|^lyQZ8Q>M|{ad4<{3!nIj+0+46A4EAPWEo-T!c+`su^;3tTU_0jxk z*kO_lL*LJseaGqf>&~xyhwCZ-qB!O+<92rN8x?~vzZmyottVdDch@CqFN6KzAFJv$ zl#2?#VqP)7&oZCt@mCd5&O$OCB3a$ew2<&ck5Js-8$I>=8EfxOJzss>4C7utyafA; zxx>(&uk49=-+X*x0pVD#3u)r#)85=io^{m?dd}*Z*)mw6hXy*xcb z`!B=V<>Vk_cb&h3c!GUm(~PUU9Ii1(Xc6gWY$b*GjzhR!h$tuX||T@%40ntMt4Bo<#?c%Nn`8DXy$nnX^zX(#C*)#p^e# zh|fG(2kXBGPJH!!_>Gy>pr19_PZEz*nGs)Xd}-(-tDZx-2>cAPnmi8cBb#+4Vtt$d ze)F>)htR&qiN(aL_T<9)$ZB8K{_hzd@gav@MqC*2zQ#UPhBnmxE4kzVwUeEm&qsWH z5za_I$(EzsZ1xSt4PSOq&ts!AtR_C5e%tTd3T~uodHy&F*=d zp0i~AaepuG`r`gxl+gE=#>HF*Q9sUO_`$3i2XVkYeFJ_mY|LybHy@0hOgL&#?4iix z>GL5^TNM5ho$6!W;(_)=k= zZotn!>-~w?)gJm88-Ip<&4eju62B`wCA`Rz%o0c2w^g}CR9_?=k%{Wd9Jdh9B7P3o zN5)Kr_)-Bo`VcQa@OdNnA=mwfR9`)~hJB~`!zb%VW?P%SSA4NgD?>juTi@4MP1EkD zewdq*hCk8-(V+CXY=Ror?G{Wx+Q`mqyD zU>8|8H|9y+vBP?*CkHjq{wt*rU+l{`3rH{H)^Ws_xD>JfI+2ys&nF&D_4%vs(B9}-?=Z=7LvI~lpN3(bG~?9O@%3Uc`xG2D70W3 z+TTv7<7?ZP_lvJ(%av7vUccLOJVl9_zpLqHZhVRjsn({kD~7 zmFD-U2>*)8t>J%h_gC%jg5#i{m3rP5>Yuf~+-kx#4#d{|o!AWJ;*)O?U+U33%wOiZ zA&4)2BO?CtE`$H&$(+Dv_v7y*9KL-G;)~a*hgr8x5^Q&}wsJ->9+d;~W`94Ry zT$$`10R3h9wx>wuKB>LQFGk5rh%Ylki01EE<~+)$e2e(8s{L@9WaC~t9Y34uZx3^c z{7S_AVY0XAuT@Roe;DEo#*17D`BmKCt2BClW{fMk8~B$-&Y)cWc3sC;{f6kD z%CiCeGekP9Z=(D5!MgrJ9Y6O^hZDb;wskhy&%AZw3&huQeSa_Ft)52ZvO^2_kKG)l z{n6?z+RG-TF)#DUjgcEQpS31@maP=ZjW2h@ZftZzv}0+iz>g~MGWus$`sx_!U;BO( z@tB1#ZYJ5-ct_iJzd(HP5h)N~s{a)9!(6Gq&oH)qh4?bAWLre-jn*kp?)vF3=P#?+ zP2lrR4VQvf{uo3#FWT@p@~WR9zKr$xus#a@8{&&kErj)v73&NCiXxA~sJ?YM2>V8u4YF*WZ_@X8EBXpE#`r;%mv4({w)}hw1l^YWWJx zA2QR%MPAhZ;Umu=|6~R1uZAB9C7E468AQ39eF**K{+ZE#Uh^j_jGng*!~MPNunYJ1 za&BYozxj#wQacr%75jVZt4#2ZQ2PC)ikox~@cqtjBpg0$^%9b;b^88`mA`lp&pSWV z_Y)n4;C@1#(({uVHgr1G7ko7Q#xIP8AB=4J{g5&9+C*w^wD}RadACs)l0{`bzZx67 z50GqrvwjlcaPM%;Q>vrhpRpOYkJ57yTxu%iM#5zqDYr&l(e^+66XJ{It%~(g4!b%l z%vCNk>+^$oqZsV3PQP73&z0}q1(dteQ^JWXsXF@mDx=4iHK<>^!5pe@wGBE+GEY|+ zaiu;WvPob=QC#aHM0&`%~zihCWiTQK%t zR<}=K54N#7{A;BicaZwUz1L&^W#){9_e16kKkUEcS1Yi7nn7g-QNPUuL1$6Fsy@G4 z{SzTxMgG85(CbYWte3*87xc5%@4rLO<;l2>DSpl3&2fLvW{v^Bnc;+9ALF$TAY8Wo z=~~K-XGeAa#?KiGd2~=LcGkCJ;`wg-0=~im5 za_qvoq{f9I&ScT2n*Y}UL&Jz~!1ej06g;F@jsGy{isJ(UiFv``*)rc?FY2^xf zuKM5C^Vr|Smt0;B?Zw&t+P`-LSAlQ+fK!CSZ+`>(i}voHARg3i{eGJ-J9>cnWu421_!9eu z;r+I;VL9T9Z6AJ^%Gt1sh#%v;UN5a&S%7c(y*f?h;G^B#Ek-=DMlj07rc}U}Usc1rpwxjegkuiW_iyqm{XW3jJsCXe zM(qA5-x43~mC)}u#hF1{yoi5z%h8mp!WxuRJUK< z0PCxjC?5J{h99a4{DDtU&U)mKB(o|O))%!{uTSO~UzD5Ax`z`!Z?>^HM}K^(lt=+n64)emyWwQ9En$fC*GCPS!;Hv8AT&-^hYkKg{Fj5noo( z29v42D?J6C{`tTDHfQVik9^Qh#IG_(qF?5+oEUFB!7mot56Fl(Qeh7}Q(VbR3(Jt7 zjhlLZZ4Jn~g!n|vIT*Kc$N6jT!*A4P%+m5W@tU)GBfhOB`*fUF z$gJb*lY-faUrar&<7;*v#GhP$7313~`UB!gblHY}i}v@g5uWOhWH9whem%bjdHn~Yp^YiE0KR4rIU&9u8Pel6~TbEL9#nta`xcLis<$w$!^xTL& zf0LIhlZC?XQ?6$GdV`*u<&uRFE}LBo-$$!)`++ZK*V;_wveN_L@>AV$&t^S}SRX@n zOaWe+;>#!(y;@A7`qprLKWnt~+DWq5mS;BQ=JGP&xBBb(jrW+O=dZ_|hEscM`Qf!x zkJTTb^}qTl;!DgL4SdD9pnANVj!z@>ypFG1<(H#fI|&|FmA{NHk=Y;ktO-Lr$#Io& zFQR^Gau_)GdR`|UbNjIel#474JHhTPk;kmMf^61FL9>QA*wHj_J{tw z#{CQE$N1Sl0O#88h&MGicp9GH?!73C+TS>ea?!BzIg;fRV=dwHg$eVMp2in?eqwR2 z?L@l}ea>cs&Mu+)Mrr;1gNRpSE0yyLiE$3(y$^?y%yy)`iFRz+eX1{i37AW`^5{U5 zc&zF75nopBbxo*Tl=T9xH9PlmYA2@Y{l9fczgOo$Yv<8(nf(~z+=w{>?ajlJc2Rqy zZR1sx^PT#8an&ffj^8<*j-cK5zxJeZ8NU|BgL&8o_BR?V#(HJOsf_iN2Znb?y{-Cu zZTM;056acH(X z?oIYF>t`-V_K}+&KlGyd30h+OS?xnMkZfgo&-?q|H~fJ1wH_TMJ{Ej>ALYh{q|nDY zQWJ5-8a~nSb>nSU;uSlRV*au&ECs*pTy8(%u!p}druO{RtScm2E%oZC^O2r%;g|4_k;gbp?WO;d34|~FH^EM7tKQ#9 z)Bg;Wi|yTfD7TKr(Q!Ox!FkAehyOtBc%O5)|5ARB%Mp+99oO+S@f_A)zGyJ^UsknE zi>RIK^Fqf@u}7mw7GH;8T{f4D!u-W|_eD7`-wN}WWgOW~JZjV0u2kR1oebroYoVhg zn|D{up>okFPY~*r>WcVc6Ca)+nJw{GR8JgiAxP$3i=(~jR2u$}`&TTZ=W;~*k(9gA zU&fb_QNJHjS@d_4#)zee6Ls&|F>0^U#JuI@%6XyJ_mKDA*^=ze2gTRx({;W7GNvcS z`X;YG-Awhw&?Q%>y(|4Czd1D~{A<1XBEx#1G*WA@edG)CT8OE~ODwuI`LkM;eI zRd*rw2Yi11WrWMVo1KmHR9ly6`;N_veWj77E#k`zT?zm3E;%u;8&}%gAY9|~X;|N_ zu;K$q7C$71{mg3*?h&6+rFbymib3)9{52>L_@cc2{Ub4MCE|x>L@JCLBk2@=3(^tJ&6vlWZ+(9fs%eV+2t>S*4n8AJP`gHO7M1h9gWFTi zQV&FY8Dnlif7xM%-al`NF_p@#r~e;gR~cAk&UAw;3yUqV_yWP*VR0JV9Ttb+?(V@U zR@{mNC@t1fptv*?r&O>4#e%#0V&9z;{(gPAKNymXBr_+IJb9!gAur5I;EOF^4Zrcz zG2Ybf`NbJud+zFUFAtL$++sRWJ*Q7NzEn}So!_osLjF>JH0weBv5hvCKpaLb zKzvo+7MMSx#8=?U`mVY8EB4j8OOO{QXI>?KdDfmKs=S+HKJ)ka?t6L4tX({Z?;rWP zlU;ePvcuPwdywY~M*v@X`!nnd)V;F6m+X56{!!No>><7S&qBeZPrUpLKii5^AuqEx zw`d=@aX;x-gFcj^amvPnATQhaVtl4<|CPjNHx@-4S)ZBCFFUHabug>{LeekizMM(a zOgoQ$vmeFpk({VJ){tI1{Bk+6!=HA6e)DJt#;fP4o=l z%LFLki)HP2l;rf+mQ$(SPAUNVY+oDXZy`1y@7sda$5XrK7bm{tDEI!V+3(}l)5>p8 zketq&4f{PltQq_!YEOh8?XD$QANA?Uct3%~PC|Ta+hy=St1$xm5H)e%FX7AF-uH~g zW9^4au)DVY8T9*dfWudTHJJa3k3^h=tu&0{qP?HwB5E#ufql01(Q(qF&hK1L^5*ud z>r@s~-T62>)zyc}I>(0%L~WR_5ApFN5g4Cso%1o3b(6uXNv}#@NK__1TNeK138xrp zXUWz>za8lA!<)N4u&*P_S<=e~^`Aj}Hgf7}Dzkqpy7}AVw^*v@TPy7%y=p@k_802e zVy8cRsEh0Sd2W4Nd}|f-75kaLQlwde@;}Gsk{-D@b}jUso(y@>rxWm{Qq|u^^)_F; zAmW$b-SsO^vJ?2y+qNyIdOM@la^h1{-19eL>??;a@fO#2{6>l5Xg`=6`pxiA;EM+Y z1ONJ3_)Kc|{Nluy?K8~bw@2@N#IGNu-A$A~+K2U6-Pwu!rHgz7zC;x3N&XRi&XlA$ z@H%tgU$gcO{BQm#e9+5NZ)&XnC48~ZE8u@|xgzZGXz!C`UtEekMS64{3w+s)0{BuH z;`M;tVX2V6^i;S1lKpQYf0=YuHj%tOd+!Fx^G=Oi{0csUf7#OUe$boEXB1IcKI2uC zPY!q_go6dN0KK$h$6vJPXbb`(~nhKA%5Mg86E0en4K+Y>6g$@$C}& zZzr?^zGTRzon(jK?K+F7nwtUoS;kQjR2Ea+^V@b{#4qjdd7FjMuOGHYT;RI*$pU=H<=&VtW{m;9koXH(OQu_|I!Qg z)g6Z~UD?Ow_smDvksgus&+Xv*!#$s3y^~{p>k@m`Q@iQb8TnHU$_4wXdKbh)HQcb7 zs^_$D`RlR| zuDi^h_{d*!M9F918}l^^axafz-OyDQA}_IHbAdlLs}j~P9lUKa@rl5uzC_iv1JExo zb$k@+DYMM=7E|0=`%YdoPJZ(y`e)j<$G(bpJA!`7yEj6JU-a1L`v12DE^N6WtEpaY z?G8VRZX?kyMi)Ox_4dGvb)?sP?3k78sB+KHt`c3?=;bNvA6+oNM8p1lQSN`ywZD9` z9p#bjwvry+p*-TO{oMOaB2ix8-M&qae(E8!-8wSn=l!D=*?=!zx)1!TF3&wgdTgSd z4*!ogx%Fds3COD@3%8Oz*3dowz;F44Q(1=ofjG;YSAQvg$(2=rFOzruMY1RR#~vj; zrc0AkRJPNm0$=*d3E;~nEQIqfS^H3V@{cUL9P#79dof=7Z{`q^x6Oa;{EKZ|=Ek?L z)>7CHn|p}l)o%sQ5tR$>A^zf1Mc~UG{D|jsSjNAAFH?W}Gw`L|5=B(3se=3=%1GoZ z{%DAs7f-)n9O6RW#i1TPp7_N=qPpfJ0K(b#Ir&X_qm740taW@`lM?;m`Uv- zXAWPY_K+9mKl63_f0aJtF{+oT4g-Ix?+eT`JFghF-7INta?B zQGsck{sM=A5A!OgKefv@Pq7cO*XP3jd{!Y`&xyaL13x_Azaa44tO4rF&t!3T&9rMSP zA^(Uu&qYnQ|KN$MMw6Urx_UWi!x*fuGJ&6qfA(C! zmx)=nk>q9L>+X7Ddp-0|m8bxGnR0yxlDwV##r5-l;LGlJ&u7@=8u2v;Mi|&%)A|(b z1RS_aWgf4%o9CmRb*W7KJoP$1#X$_3?C`ZlzaJ0_|pIMa^t(^?*FrK z9aoSZcFNuF7xyB7EBS3OD4)=4B-xeK!f<{spX30(SXl#nsZDnwFKX|{xu)DV!0o>R zqg>hl6a1^b_uGQ;wL9+i2M>$|F# zY%9r&7O&CHmnL3IW!AIUCZhI4#&N{Ym;C&`!HHMM2Q2G=om9^%KU+k6YU?BC-}`r> zsLcB$M*daiFz_X&Y(=|yo5kg?2C0#k)RdJoiC+|Q*GG1LHsDK^Iy0T>S?O=Tl)qSJ zw?6B2HVSu&&u*V{AN1@bMfegchvNA{p674G*UUNTNBrjg zapW&?Y|9NQdwy}|PrdJ;i|_o^ZhzS^o5OkTwBfK<-M}teJ`(*fBO7-GzDD@D{Z~%+ z{*YN&@jUUX-W4X1T{*8&EXs*~J|8&8`y}+`NsM)i-%1upe5S@(*q6JT17E^F3GgK* zX9m7hMmK+1pXTtd?Off>|KQv>2UGE%x&CM06hr#?qzcnuH?+YlqOxEk;Myi%@to|5 zz`HoV*NZ;8edMr(4qr{@U|%BF)>=h;tj5g%l4m!cpj}qXw35my_G&OundyKcKHJru zKbXhW-TIoh(_yOT<<_+!Do5T0e&m5t$X|NygDq6AKTQIT&8d?Pe;Eh6{a51U^Qhev zt~1Ar_`dgoefu%zDJq*RdFKopUAFWu)5@Fm6-0KRm1(d#7d`Ne5p4}SuA9+LJV z>|IWJhNx`hzSqL)=XZH)Mq1!Y@%Np9uhy@DFV#I3`P2Ln==>M#5#$R1?{yqOP8gi#YaDFe2eZl#?Uh1At6oJc*keq27poyvs z$q`?ZMhEpqWIb`JQm zU-JN8^1~CCuhd%?pZ3ePkY4?{;UuDb*l=h6MJd<*y~hdC&%2~L0z0WAmlB^6Nzrch zABccl#wu>#*!buD@d<}9e$U8&FFX6+!6eTbNA`gpH3IS~SP<_|YGe8u}0 z_~NB@?uVW>zSl_J^NZ6y8~;1x#Y8`sKW@E?B02kNsmnLM<&nSmk=MYN9rd;w*<}Um z0$+UlE%c9P%mI9vDQkL?eRkkKhc93E{2!mb0PBWI^m#kA+Yjm1ksX<78syp5rk2V) zr9aN^*^+lSzqf~fUjIjz2}S#;t-y~hHxB+$2f3Sn)7&|&+~U88^ozEe1{2lWRy-og z?+m*~@@(uTQ`tkzk3zUUvbp;re!Nj@j8~_g?(kLdo*&7{TJC(sz6@1cISqyxZi%N7i)f?pK54ow0qu@1HMF;j2oz3ugrvfn)GtdPqQ9RFu!;} z&}6ia+S<#@!^bc7cKZ9hK>zHNWDd6_S3usw5@&qPCincW*zDfhHJjoOB)zOi@KLg3 zc6@k3Wi_M1ZKC>m_tE4ZR=iDfinGb@zF#AQW+Ps_Qaj*FRZ99x`Afcc&)0}Pb1srS zaoq1LQRd}!itMo)-uH;ggfkH*@w_w6?@gYYxyZiC9qI7VL`M-H?@)UI$=jWMuTk05 z`?){gzSpg5(~2NYs&nfV#3y@4Bfs!q?()l--R}H;cmV+%%+BxPQ#V@kH-UY7as%d{{Qj>u^p^MroY|N(&%LN0YHuvnn?J7M{9fiSh4VvJU^(=gnxm1w zRI*_7%N9tF{G}5AJinjXUy~l|cMsnVmq)#7q`y(|f)hQ~AS3`q|swTa*5esS8D>-WL`?CLj{$p8AL%%t2;UM_Oj&-e=UVhl&t?ozc zo8-*go5&9D=hhz?e*7erSvLcDJ?RnVIa})1Pjz8F#?L<%TSIz9ifS8(Uln!lH?Z$- zqoB`!^m@>og%=Q?igx)?&bf*Gr5OG{O34 zkIh1SdAZqFNS}HeJc}sr=0BULEEk46CtF>57V0UBtcl(E{oe7wmz?wS{J!6Isb?yQoa7?or_zJ2k;|%>7K8WK_@Seel@R5F#Psr8Lq!s@s04m z46YhR^0w7w%nzQsl_GvN=!(Pljv`ps^?yVBsGhGI5QO&a6&*g?x#xa)lcfVlkMVhQ zn5gH2ifC6;5}cy4PB3T_Q89is@|=0>zR$%6^O4bJn{tTW#6;GPhyR`&u#LC-z9zQQZARr#y%ND{*f6o zz(3~f42Q2r!ShL8e$R~jWy*f}C4AWl=`enAWhd5GeXprM*^{wDfiH0;3i#6J8#;U~ z?Ky<-t%v>&e5r#G&i==E7a*7P3iglYQ+?zm)5xt~?6RN5IAnS3Uv<=z6;$TaE<(RJ zR`*e;r);kKE+YNrznVC|H+OHl{$&rDPyD*TM0!gppIW+0DlZ~P>JAD-L?2s?6zw}?_ zw^O^Wv~eR*k+Fqq|56F@)9vOhBRScj%6`zBbp`_>aX2f65 zT88yQrQZ+S>ZB(&5+57s@;@&c4t(jngFBO)sQ3Xm_xv|be8~ZiFu!F$XcWoWJ3pV( zD;9Me_TR3*O?JfP9Zx`8pXfvWQHlP-{*-l@fcVNzNpL-(n@%}Ed}hk0U&0rg>F!VH z>xZV3J=@_V=Di%(H=6XQKCup8AvJ(6p5@X|ii^IT+~u#o{(MG!eBLDBip!u7oPqp~{2Pes?o)vW73B8UD&vw!s#oGYzW*hr-^&Sn{jnPH z=RLDvzia=gjP=R>v0?)8i<1uD=48ojDCejWp?=7m zZNz6Yy7OQ0q{S{O^XG-9P`fyhV<%CW&b?nCSJebQ?bF^E7jID&c-L9n`91IL_V+Sh zqeY}gT>lJwdj1zd{K-|ITPM1V|0R6!TnpU#xTWVNvL_?H9RwXw_#E}aWOvs$wwL?9gXq}{ z=M!pCFup%wzq<8Nm0KG|ayE0prI4Gr>LyYCxfc9yzolA3?fOox(^N0lyn!Fp5_kQk zS{6cnk&_Rs2Y&mm$wu>tmv_%^@&fMp8T%~_=Cyj`$}Ha<=w}U6Z6^I@=S1Lx)y;tT zh-?SZu4W7Z{?wo=D@ZTfej+W|VLi8?U37SZ^-OOVv6lKL_69oqCfeotpUr)@TsK;D zi0rVMch?csL*4yPmNf?Js`*ejl7PXtd|8o87 z@+N}hM2Ebnm#yOaLw@FRm*2+RKs?mdV(xtQv_$^)h{TC68R*W}M0>aY5wT4$k66Z< zC&`{{G6?vwQ-@iyC&rh-`GjgQ5a$yt#J%6DN<0oHe$!@Z0P)!mk=Lp0`Ne5pS9k9} zt3_205I^5^5c@D=f8xo1F!GDp)%`B%)!#DU`cdtQeMHaS+coa{0D7En47Hn(c8ISj za>9XH=kCAQtyK-l z*_#g*64fIfhY~d{-1(SYGGH9Zi}8&P6XjE`>_mIIwXo0U^>cphwssBaHP;trBs;R& zMYN0Y6E*Scs&&^9RaZOgAwBklyT7h-HQYvJIp;N~@lTHR*!=16Epl>{ZTXqVODbt; z=;Pk*d`1=PkNhRS)Cwd$?8{i>S=rQGKk`GbkY9C+#NElhUDG;*sCgU+e6df*fG_!Y z1m>x!lywXA{EzsWS7|UlQ|2bdqjIl8|Jc}uXGmViRdqVfCwPG&$X_P# z=lS{jKaay+cuQ~U7e86%=C9bdr>3I+rbl7mN_jVN`Rj7aDAL0+9|6AfU*EC5$$tW{ zKJpFCfiJOsEAX$Y&AJ4;1Bw7g=Jlq_RMuziy7&cO*oyw-Z4G?!g(1L~ELh?nYr1oEm-mYF24#-85~I;B;xm!~Z6 zxb;&7tvyEd;^ZYwdU^aTnaK{eqlL>xjfs)U7yNlGxv~QHslNXsoxHTKH2S0H~#LQB1oSY z`F;pdJ~Y)9;^(OyzSPiHz!yJscmcKR-s|9J&wu00AF7(WJ{7vAi)+Bt>7-Yl{2TUU zXm8-l{*%(hx9}FMkE}%V7KlUL-H0!n^Va3<+zUFAeOn~UEux-Zoc49A5a3I#xe!YH zs^1vkKu(z(Mg0&bHUMAjc@E?+St|z?X?X)em}l)&ag)Qg?o@ zm#p4K^`co;x35@U7wa+4H{bcU$XCSQuF1BR#$`VFWF{Qwu6xif^B;5j!k`ojs9*Bg z+HFL6=b!uU>)n=;esg3s@FlCD>Ow*PV}b}ooZluEgh4T@^VSm))vm`HCX9vDm_({{f__Mm500di(c7-(67zepkEfB3LG0>x4&j4@F=ybx_@fY zZ_eG%NaNIXA`l<7qsKn#kH|A>F;U&3bO2Gi&*d-E_l#Sg@_S>Qw+;JjrFNdOALNC1 z4!6IXv~xY_Rh1TIBRlGPh{IRF!d=9#rp^X_g`fN0kJfu#d(zeLugtjM0P)F}-(5fc z__@E2C^jtAQ*T=PVSFaU?gZcGL6Fx4-tDHc`Rcy&t;^KJdZFtlM7!NmS)}8Hw`X^vECl z@9W4PqEWx`@cZ)rR8RDusfsUNy%2Ir4w?tIC3`=MV< z7r;K6pBfTOeC$s@_?M5!27K{qrPq*tW{Uw|y!Un2zVRU9uS?}#M*R@OPpl>?ce?nB zdO3kFSwA!IWvX4=OzkG1ii=-R|8Uq_+|{4_XO7;<4m&aK`Fj;Uot=R<$?y|^A= z1Fu1zJs%Q6@;qpYAGND%3DywR@!b7md*eOY+4&^Ep(s5X>%HpX?r)nzVd2EjCKq>h z)|W*-=GWZ!nfQ|l(a=9F0rH!v{?B^i7tHNnWGZ`}%JS8*Nkk2s5=i`>U!3?7t$sfL zwr|32;@9=cA0v5@{szV;=Fh$leHk}C1TDE6&wtsNsc$L~e~~EQ%kv(@32JA1d<^(n zjQpkjJ-_zK;bYNatk2@_))zuOYV6luVWfxG$cp^Ma*w-1Wz90X^>OsJhlDSAq&DQ) z2KV;>bmbCDVgEm`t3++@g)Y8be1I!C{M%mW&2Kk_Qac-g^9{A2(hVx>0XO$h+|84- z?)$z4f98*OKfil>qAdJwisx-ddc;+?Ki7}PAgr%~+L!;voM$41CGui%x;>>RrT9=jr}S_+r;K0Ux|w1NdJj`7?&>>PF?^ zN0Y3A!}Ys(51_wF5k+>@^x}B_%MAVqe6aos`Ct6AVm0xpMKfcG@)A)PpE;Qu{^H9g z??-(|?C?-eyWE}`?J9SC=idk8Hv(V%rsbq@+FTFN&QDZ8Tx7~5@W1+01p5>I{T|v` z|1xVypBlXh_~QAK&!DpPcIU6mzxrV+^P;ov-en_7nRT6T1b4l z-I{IS&+PK2j)`*mpTt8RH39Eeg1<*2*Z-&j$eZHaHsDKadxCt-d=sHv?+Q9Y{ANaR z^iTEZ4t&`j@z8EJxb;f<-*$fLTiOr&%Hd0wJaeAP?6B{6*uAyg<^TVMuLDb6|MvIV z8%p+XPC7{P!eyKhp*OI!^l3XIOqyd)i)CR9ep~3v->c&!`JJQ6DTfXQb*uRlwAaQ^~C)>Mw_md zFZIKeioQ%#242AU_|`SEsVqh`2fpN}CWF9N)IA@dQg=8N>S^ai?zr=>_cw9=Wg9$p z{=ee0jrjGN{ce62%QcV6cKgrk(;{y)$=kn&VqWm%H-}MK?R5AuA?1KCCAI=ztkhq? zmzF=*zow&uNuPS}zT3;Xd_w$qJl8H~^jb&y*tzP!m#iXI5x?zH$Hi||UgR&9X$kOU zSuFAwJCoS;ziL9@OV#=ee91m15oeym{rypSI~UeRyTrX8EceaYK>E$WpZJ<^82FOk z0*0XewY&cGu*8|agulCguijS%zI4VEz_sk}y`9EmZ%zQdgx^lYnZ23P68IX^_93m0 zBAt7_g)fK~L3Y{6v%m#QGyRwF#h1C~3*_f*$X{Zd7x2ZJWkMcgdt;s5G0o8r+owJ7 zrE4{NO87RXUjkopa~i}|r+B-B`k^l-k0EMbMLYlAU9^(QJkwy{OB~DDg~}pZ0kreb z6cM4GvU$8KfbeT}Jku^L$;}kbgLH`)?Ng7X4?fE1}=|NBFPdtFK!hS>-t{zfXO5 zk?iu){~V=ps66eS5Y^*zVgDsNti<&rdr}GeFP*6{#;+T@?>X~C6%cnG6myZ}Oxgu* zeCO{tyndbJ@ZUcsfb7_DSu8w({TJ)M-|fHJy7LKEwiNc2w&oV#%SL3V zPW-I!CFobp3cLMR>Ql%MBEiIt)UFC0M!N|tj`?GX55)e<0k z>-!VRU;Ohq;E%T$8%_N3kp<38<^k8JEC%00e&ZANU|eG4EcjKVU*bo0MC&HduVT*L zqcZ(B)hm%5o9z(vvxd*klDsZkI*6zYtdIG{>bUPG>0)&@lf3zN zCvc#W71#zo*$Vh#H>wPS{GIBjh)<3$kA9fS&!JzPsRVhREXa*Ny3!fwJM7{oYR!nG zGV5OK1oV7QzlEsu`5p3lJa_ndbmTbIvw=_CJpCW>m66HdAJOL0B$89BCPTm2+V%>S z&C%BI4_o~JRNv@bh5RF;AL0H9J2Lkv`cb)<^MB<1-BcF0ueo*Zf7s{i-1RH}eM1Pz z+1e8!FO!wR^@0knhxqHk7w(}yt2a1&JqvXB3jK(7JG4&}`Z4Ga^joI73w)UgrQjdA za4G!5Y85#eO8xWtfcegT{{(sFlK}X#XX_foov$iKwQv@49S_Zp~w%m=DgcfmOCEd{t&BmxH*KX z(BD`5RJVEAjE3o!}o97>stFU_as_8y4M6?J{)3Ug-Pa z@N2uoclhmJ&k(-sX5Vt~Uy>7$H@7ZEcu{?ZqW&bOdann*)Q|M&zo~kAAnH@Bi3MF! zXCd+Pjek3Q-CnYg>h-{KONok#A<(Cm|Ga-5a-`)Pe#2<_C*qy`oK>yR^vx$0samH8GbN1Qr(8a{BcBR}8`p*5GPW3g# zLoZLg&Roppv0{y}KC*tLu>WFXraYx~Tje0)DIN|yL-Hn~Zwyh-FHZYxTcrnsY&|fnG`GK{b4!@a``&|BNcDe!dHmQ&G(Xf^HtR)dSD$iEp|V|C1o*PIziy(kF8JyIQT3(PDWdFa zTePdO6S1H2yuXKisO|Y*Sg5C23_S+@yixagRA$TP949%?`yk;|HVwBr{KmhC{3r`u zLLM^J76I=bmN?@p4;^shtN3p;>D8U`!vE?+p`9pae}Op5J*6x`PR3vuE10RVm2Uo}xqO=J+2vQa5Y_D~xOg|2`;6r6)a}46uP!!GJ8Rq+>xBIG z;C*W6mBv1#dg;@2Dve8Jty-DJX$ts3zxvTLhWJE*VpvyAva85n;`z_-Uw;_t@K^RM z{Kpb5UJE;^8biO`bQAj7&hv9gul7D%8Fpq>a{h1B2>li5#?K-o8 zwixxVvz#TpBC<8sY4w+Teukgv?yk$SrVA%N)}je;!b;DCeipy|3Dnmbf_WiCPVCc6 zq3qCaJa6ifUU@hKxVGK)AE&bJ>++Y)w!xpu{LowAOYKcHmCBx9obeTJ3po5%X#oG& zw`GBA)+0|}=({=*xYE80fipIE+64H=t3fOHr)EdQk0rn8{QEkQ8-L&D(Z6Ef#PooE znSMORXTq{z{3_*%yI!8oo4oHV=-Hf4iK?dM29jNQxEj_+5zJvP1 z)Ej>{KYa#03MKoqCNClX$(JL%$c`RY+TrVd zcleLbDWR#KtbZ;;{4%x6FEZJKp;XUD4adI7q!_;ze8B@CuiF3Z@OAlIBoN9Y=4gr|R4;nnIT`Aqx?=|5%U-UI{T184Y!BLNZ$`VVcnj@pYV1Pd7n5T# zf9$LV3#jb*#fdMO(2bA14}gEf6Zaml47j|4?AYPSkVkBq;#fzRZ#15N*9%6bBR{cX zr4V;p`~~(+eAEiy%k$lxU&5E?gQsr&&3Dm_clwSqWLNFpc9$qSkQBI3*{c92CgMHv z7ylgS^4A^r_tR95?bm3$e1W@9qx^=$pL$e%hrb^KZje5H_VgCw)2WjL5fzc{`*nPL zJj7r0%`l(h&U-xpzHE+Q`Dc%x{^|cQff% zo#p~xrouGn=f3@ylHaUY0DP&?hLGodqmcjEfGz8&pZdFY>(Gq+urGTb=s@+nZJAio zYy8q}pt4n&UH<7%YCGg^=Q;@LllC-G(INotdR8Uik2eeN8%pwDeD;9m$^rW-d(RCh z7jAl#F)ZsH8PasS)OCaU%X@5 z*(5LDl)=7QZEA&eOoe2|^An!GtB2<&%z-^<7u)Z+^=Iaj2$JKYehdF4`=g2@KZ)e2 zdXs(2MxG&Re8Qnuz8Q59_1&AeIBZKj4Dm0!KRZ$OZY=z-dtbOj_RO4r=M%q**#>-x z9lL-po@>T6s%Jr7yTR8+ZX(LMy7w#Xo7WFfKc)xrmxzpU_$oBd>HmiTU#4>J^~7g~ zeM5dQJ=UO|#mj>02Ojv}G3b5qc^CB6j*t9kD&%zd&31AD;Y(#r3w((SBQP$u?S{iw zK&sVVo_15B=}wYYeck)RqSfblC?~IXi>S<2cq{SAKJNYwAFu-Jr&v)bnCi716G@a6 zb?0xgS>26PR*^R_epzNH^c(TbjnAt$a3fMK!8$6|6$QTdj;9WvP5VQy8Wz7=DCz$& z1@p}F-#GDQFE?}Y>lz14|Q zePz)c8kY*&3Vg9l4qt4HFYv<(uJWUC*-jH(91h1g{I2;M*AM1{Fx1Z8ra3{>Y^&$; zm-ivy%VbHig8XM-v&9rMs55He&8T9QRi~fm-cekmmw>Lfnd_756hQ`5Hxxb%b zXOBEf@?zTfWuR?8VV<#&-SCfCvTO|1t3NAWCp{)}q@uD(I?v^YkM4N~vC2JPWv7=4 zqjok{x%PI=1F0;w`v()XnceqVMekbZzkJvW_|nbYb0)faC*(OD=$_9Ji(Ug?^4SyM zi`OhX5BmQ{e8rfh&Ob|PM-abh>ArK#QU(D3^60t;R4+%Z2DM?$aDT`g-`$4%qXxUb zZ^hbpW8D@<{=vM^*T?-5zW8rN;XmH9__a`vKHY4~R-*E^h|{2XY6D+7!#jtsNw-Fj zU2`Iv`+m->%ZQ&^eggOshke3Hj{Elkp5*)D(64p|x%Iozvjb>95W3&X!zZ#8$GAN2 zeIkFc0+Wy*#qr&h2nU|OPlx!ZfT25xpRZqmeTw*=Z4s4OfyeM4PrWM=<)n!>hZ0{r z_jic+Q}^DLy0jknG84}pB)!^y^*=NY*3`X!C@LN}L-NwEBk-k%3-!%ey>>!<;Ea8E(V5~R5536^x-Pj}KVqB0@Al7lr(nO@ zQ{YQ=K7w{RFyBot8dq>Dj86w&hM&d3M95zv*8Tk<8SDQ35O0yF0*%u&a`(4Io+LX- zUQV%VNxz<5t0I+kFL(b~_014PW#iXv66%95?Ik{0W}(YpLoeJ$S!6=~;-_PQFWDyo z@zs;#pM~6-LcXBAi(oxqdxxQ2Wj+G`%I`bQksfnv%>v?+QNm`40|Z3OgM-&N7jGt}SdZ+6{j=@i+wAViLr_Nj0x3|l}zIv7h`ODre ziuIArC<^;_>-j4r&l0pe3A!oh0^|$)eE%um`&%d{euw_4>XWcus2a%;f1Yab9g>qz z#bLrNuMt&-@Wr~j=S%p#|KJb1Jz^2@sWf+|l0I45-9M6r=EMK2!>7GeuhP}oO?)t4hP+` zE~T=Z>As(@16#qajhqHtiKr?EAwOmY&EF%$4H)6;V~pH zBhtA3C7g)ysnqR5(f%y=W@@(si#vS1=>&XPksA22OXdP!`bsC{2a|dO^1CkVGl%3^ z&i!jhUh8%){x>th|2j*e5UMx*EcT)5R+!6=g=^d+Ir(4~?hnajFUyht%wKa{{Hps$ zLT>xt^PsoHq!UEh#V%;qG4)oGyqzECn3;TTe2=q@i8b1Z{bJA~s+=$hXSNYxf z34inh_>*%Zkl*ay4#1NsJ_!2l!w0}EyP9-6*%9@90%337L)X8gsiH}*GB<*V>Jm4X zQ@iIEcYF(Gga3KhG2|~ZE-U(BMn|6^J>q^r_+Q2JxqLj1(?J7kHgBWqjvGG)ik0qb|&y8JMMsfHYPXbE8iJ(nB>&rgptH&P7Qbde|6UR zf7?I6l}Ru*nA&Z%%V_86x}kp}e#IRmZdxD467~Gzw9msH z!hftmjf=!DgR3F`=y_S3zrvG2w_qf-i;O9tUysampX6=)^0#-{OJMxOU=YN3sRGV6uANtihr+?b}BcxY8PVVq^ zy|asNR3607=3P9A`o&kA0lwJTC(b{eh9WP?6jNhJug(_?-1Sq33_Z*H(A;|MmUam~STSB_HU0>hiV7{llXC>~DvosGI%BKWz0p+@Ix{ ztD;_a${bF7YTy;8XIg?^%3u8BP>f$?*l>X4?eqVDQ(a?bH!3q_UHk?_!vAtzP3-UO z9M1!xo@RM>DD11un|BkxDE8qH^fXhqi0bJA@ey5*T%xk_E*&09eEF{jQCU6?boq;A zxJ&gaeLCbX+kGhVmz;3}_VvrJQN+(n%ncyQR#(M5wwEiS|E5X?jGz79bt?E`Bd~w5 z&Fi`Tl?}0^pEs#-0QmYip!8uX?@kGM`#@m5P)h{xB~v6se9eg2kT(|#0$=)%6wt%c z+yG9@qMPU+-x~^hCc3ZNM-9k|JRv*egMOC4H;nAdf$cDV?YD%$ht3rZd0R8#Zfe(y z{7+N=McJ0eKxh8x+E=~B{IbKIqh9$;+(P`GU!3{F9C7#O%(59#;2*RZ_}~TH_i;Uc zi03}pksHiIqO4x}R^%Vu?^+Z+AFY=casKQ4F%s=nrX43eW>&)ML_NPa?W@Z%Sbtf{ zBNrk6q6yYD{qNy$=;^r^?P9Vo@~63)63?%ieskUXk44@27khdy0`fWbfC}Fx*Qu=H zjRU@T{SC-p;_qvFNUzMX5%H7$4<8Vp32F6!>J6_IMsa8V&8$e{v`^kT`Q>+!pY%{4 z;L9d#2tV5i?)gqu$31_@pBKdSpOF5*nS6c?e&gAjx%^eNC-N8jShWK14~?|uDe~v{5G|kxOtvP0AFH#7vM`=C9rS14ogs)z;eL2N zT67+bcJpPl%Wqz7Kvm(N&#x|U-@g;_Mgec8(+~Jn?0v8wA&%f^lzErJ;b4gxw?B?=$3HSaFpVbTN60f`RDCy+^Tjqc-cWvN< z#ij)w#L@`J@%~2-QoC*Ap5N4e?!kI0)BXlI{$u1>(xV!sfxLaW;3Uf3N30~uPi6qV z<*gSke|{r~rqE#3Y^cS;O-F}4)upN?II`D%}qy-o6F z_$S0s7s`wEQJ3t9{R2DI3HW3^e?-B4>1)^@+Aa&P{EB_O((NDZ)^-sjuL|VA{?it3 zg6kN$*4>}scC5>5_q{q1zSOl2x3E6O9}4?2b*Fl;e|0y;FV$DzNrfMA_$xXZ<6wzS zZlZo!@1wnmYQGtnH+1AM}eujiH}iTIH@ElYhtcqZnP+=`ZD;hvcJbY$ScA&vuNT zAO41R?R6Rc;br?FZNlGfgK?=mXHK9Wd*4Do+wZOy%<3+ish&?9d;y5W>1hm)YPHfkT<=;WAXg`Aou=~IsEhc zePg#E53Ai*Z;&2SpgsC6?`Fn0?814gNH5=C#T)u-cfj$=wUemY>{HVlLwDXp}u+LMR+CqBx@k)z`Pu#A6cGjmj z)(@GzH2BQuv~C^Ck_hdlYZuqwOb=XrSnG?>lgqu|A=9=wLuK_XEpWw4Ybs)3N$o@LzuH*1Hnhus+&Fz1=*_ zKfGgQQdZ(*dh(B%u?P6F@7&*qU}+zoCcFB>^IyWZuCV_l?3H-G3-+sZ-%9dwaZm{A zCw+&1)Nhxg(0-#4@|XP5^&;U*RTzx1Ml?w@rW z)yp4ItBFr$NrHBLcZG}pgLa2$Tyk8DJ6{cQ-w##26Gf1met8t}m&1Bar?Rcq9R1_- z{ssPdhS3W3{r<*0(Sbg$e`BgzvZvS1+E4ydIczDiWAhbqz}T1(G~(P!j8p z=lLo4htK$Sgz9D58^@uicVu6btGN4*X2a8MRJMV0k$<><9`Kth?)iLPaH*zt-F?ag zl9z2NL=ZJ+Uc$bta=^u{R4d@n^9O=~Cw*f)+Sx0gGmx*D*pDdN9UV^co?o2!5`Vb! zZ`rnIEXmm~|M`=gUGDZ9yxJ5OpDmAXQ@acpG=}^mWAozt%Vb^V@Oh#)aL@Loj3jxP z;W*9*Wb?)fX7<}&2%!I|qwzucS9kRCp43jAwEuf%zWWF@atz47ZmhN#Zw-mm40 zHv5yD9ab4QVOKi?r?PAi@W}>-V!bsp_U(auf@L8@RhP6FpJ@BXA(W>zbn_&CYm8G| zsqWgZw!--NyxgI%^K2XX=TQ-7eD(T3*w;h0jQ z@Qcj;ekt*bw2vQ9y{g#q0hQVF8ra{99NyU9>u2u$AXB3P_E+*^=+)dllI)g1u5n}?@?Yn`C-QMZ09rLDo-7541=!<;7f$rq)ADKiC zkq^bruE3Q!v}hag*#;vWeo9rxys(Acds3?Ju(_mPM7Zbf#M?=Tiy0nyfa)#(5=!!( zU!3?-JDxlJMGl6OoSyvK0g@BLXCV*hwxi*Hw$`0P%VeD!!!H3H@O=i=%YFZb=ia)B zxJ`*<(XDhmzgB)vkc{aw`2<>#71x01X{)z=c$Az>S+ zorPCHevrv7tf6{Qzit>&JMs_UUp8^~w^V-j{X9M*EAkjiyBg!r*WCV6SC3f_y)!Gi z`Q6uN3G~Of`%^6Ca@6ZwEq7DBEnD`N@Wqzxf&Z1~#uUlvYIA^d^Jy+{&Xy-dd}Wr* zh=cJ>(vJLNF3(9!@wJo7VE(C+`Q7~b?Hl|olK;Hl@IUZvOS|(eyR8`JxlOwb_+VL1 zVgAXIo$g^g7q-B@?9itt*_H23 z;7g3_u^^Q6G_LOQ=c}4`s4ULJ93s8Sw=eczyqdeeV)_+=f8_5U-8yr-i`$EVclg2hjdAm@W!{r$FHzl%vrrA-NcM5h_nV-HlaRjZrhN-0emy@C{KJ!1M|@@YQHQTGCkB##bV$`46bCjW0P!`ky|I29*8MEW zOS9-Q_1E)@(>@#I&PQdNkHDAO`xbdyuHJ`rj#YQx&r$o`_j7oQ7r4Kz%DM07u>0Yd z-z=?rZr^Mh3P0O_Z(gH*sNb@{e{${;tUq?!Pho;uztr+K=$~#`Ad>WX{=OCBZ}++Hn3zrO`y-~nqq)>B`WA>Ly}ZM$jVMnF zggm?RE}F`^i?=^flRd#+qCB^IzRYa<`S)?pADkRYd{M2izh@)e_dD#THRq^aeK#jb zPK|$#b0Rk9AoSb#d7)q4pS%@%7j}RjJ*;uYSDkg=XH)A+I{jNaI6plPI79Y$jUsno zua~>d=ItK!B7Dih~feHZJa8QKQ&a>gR;KSlk? zYl+V;`?7$3z?a%u2jjEL_gtlR-oDTx@Xf8cB$Uc6$33L7&VArM zmDztM9lp98uR!B8^0i?^?%@Z-M`Ef=uLGM z{xh)|ACrE0quXleEu2S?{}{WE{)stX}DzZ5Ha`E@ZXis}3hU)E+ z+7m#JO#yz`P_~=eMV_fgsGcqP`JIA}6VYxu+yHLP*E>h4T{hVY{95VmFRB#H5r5rx z!g12Wt}NdLeUCO^e4=gwxBv3)13Tv8%V5~~AMw?j-1C>Z?|j5nr0#%uX|@DUBze&_ zE!IcA{W0dbsM)+E`NzI{h5e7Mk{14vGY!rI%>jY@%Di8|4<6Py@um4J_(w-&n-4vEgKto~%9(m4Q5oIS;Vb4A;;vu6$GTxx^#wT{1JLX09{n7>! z_59+DuiV`S{gbInIlTJxJ4A9eetPte6>R}r+196kGc7LT{aQJ57S1Qkj^>EJE`0Vf z$;p3?g@Gn+a4D3m{}1~no%=qDx_=#cLCufa5BaY{fG4(cqouO$+tjUtbp!g*yjRT% zxbIJd|AY9m*uq=Mo?bo>{a3#3@70R32hgq>T>-vCjq=E|>~z+(uv4us;;$xNbn#yp z)Rpwhf&DAdJThG)A#bxx!1|?zMAalae8MP~FK4;@&8j5_{@BWLnAiMlrXAp`l@9o2 zQ}aQ;-0>IiWkVYRU$T9A_+M=>&}Y71nL={x%n8hMyUE>uFzdDhPv%+DJJhZ#&)-N? z-EQaNf8{U4Pes&lI4LjU!76!~4P2y0DouoK=P?&@1g;7b*~f^|c$e0d)I`ycjY^_DJwUEAUELZg<5 zBd_@364}!w|3V%TODBTQ9BqZ?CuG98|Hs%@Mrn0J?FNcV3oV5f3Ir+c?h}f;dx79u zyto8+8{7kfGq~#n7~BSj!Gc54Qk=HjcRzc+weGs>enZcX*^^{TviFmnobw*R`Gt?* z=hH;h#?#53JI>ER`BpQr9-0Guf1Xxtpik7l?ugI+m2e&OPYT2OC0^xx4Efo07SXuO zg?x&}sap;KzI6X&koVbtA4YOwW5(l|%F}-+q4_xKc-hkuUtiUOX>{%zH%o z)sI7FlU}GiTHM~D}^V&r~Z}*4F9506arH_2(^{eUCvn1yp&43=U^yf>|zrYc#ebsdV%a4e9KikIQCrOVg zy$AboQ?d*1UmkRRO!Yc=3GOe{%PU}g7I%hnesZaolRfjQJMx#DH~{f>*Gi*Z-OY1_ zAfo+%L=uqH*eytl#x1af$fV>!OoD?;Scs)YN+g z{dRr};Ln`Cyf!RQ?|V(<{nOY^n3pEb;fGWoc%W?p>6QH!l_EQ8-8RJ6W~mSVnNiJq z5ucfVWE1Jv*LI>^$6vIb%JyiRvuH0rCm7`_{QRmecM~J5BQH z(_zNP#|)8SfpXx87GJV$B<#DbE#N;lx4>%BWBTWfAnHpVL3~8I9>}9M=5p-6M8{Qp zef8Y$Pr*O)-`QkOKNz!_%C^jD;8X4|h4{Pi6OqsS>Kur__-^ZMO4`cb8E07oDiWX<6-o)q&yt!PzpxvI%QeC_VX`77h`zT|haAs6r^$^`#G{C-eU;L~*Mi}Bf(;s(hFj%e+Rq6I*ef%Mf+H=d;-upZMJ89`)Bv4#V|((J42sPdLZ#f3Z71U7&u6 zBR?)6YR3J!hNzY+;eWBM3-X0LxoalrG0z&0Br4xGhJReaOxQP>T)}(Ef3|8F+&`gG z@$Z{v{3OgL7yfu9=@kuA?}MH?ynj)nS8@HR8HcFe*4;au_;i=jz=uq_7x=Qrib9Xc zmIMCumzts7{W}iw_E|o}S3HQi&M~$U+Vz#cfHyJ!4(#g0L*Xay9-!SEYzw_=aQdZW zSEgJrh58XVqK&Ugdm8@H`8N(FIg_>VcF3)%yPnE!co^olb3Kqpbk;7|f7#=8vHud~ z`1eC!KQ?eB@|;5c(qlef`!DwGGQR)7r~eD_5f>JZCpq^iA?C9&H92n;eFFO~(ZJq> zFVQ?1p05=VrI5e0?KOzxOwI$NA)hbl&7eTp4!H(=*=9SCe|&hZsno9jm>o*gKl&N? zRmYCqrLxMI8TiuW>J}v&sKfo?UmMQf7m&5K^So^{bQ9^eD^82@W;hLXIzuzNAJ2aag*Wm@cI`{$oxTy`&if6KO6 zv7PkTZTk^d^-CYbS^k?J@13xJM#LpQxl2*+AxWEs@!dW@@FgCF{3m>w%X4{tl;!)2 zbkY}NsNa65KLh(O+aquJSKWXEx$t90!k7Q19QI$P*#^YV%}y9X{O&_qj9X=RdW*^; z0sp>XvsXYql;;<0B>ir60qjG3uF}wJo-YT!?1_KFNWU7D1^CiEE&30`D<@Eak zRvzn^=+5sa(N~INKG~|hmQlMM`O_q#ZuTIIPX-@3f%3IvCxQa?>gSYGi2Ag=|94g1 zVZQ4W*LG38s4y7&n81J0;>#^O$o;#RlKJyS-3Kz`>I~B3ZjAuG^pER-FMFU?1M-i) zv-fGq0JZ7I!++x7v!h{wvY1&K=biH6fd8~U`hom>gr4)1@qDa0@|e4v1@RK`k3K*@ zp7#Z{Z@TuS_?sukkiX=WZ!y2^QHA*HEbCTKKh*PrSkFv2zh6`}2}AzUlb<kgKI$?D82@WKoFP6txWx>}r{L=c;>9|&yQ;(4e$oNR zGq&XDO~mJtJ%@h%=Qq$VdT2-fQ*%R$(m34U!tlTU>+2(=-*vAygs7_b6Y`J`PX_&d zKza+i^S53ks$V8X|J`u@euy8Nax2Nnq{+}feR%s?;`5i6_vK;vG-Qu1jIbSyBLE_hO|GYxwz!5FJ z#fk;&-}KqXL2l=J_(jGkhW@L8v0zvKy7&&Y+m^rJ{v31b2Cm<`w0wV~h@TF4RKH9) zO?K78c<_hrvHvN_`Pcid5j9JnZJ>6Y{MTXL2k!3Ax}S-HFQXli81{`Ta#UPP&tg81|Xo}W_1LS9j$ z-yI=4a#023DHD_s{xu8kA}{*neZ#5UKQ9hG6}KAfi$q)DH~+d8<7;pW#!o%|{mb?I znftdcbR+tgG|_*;mkPar_=yV_LddSEdw_AAlASj7rQbB{3uoh_k@3j_AO6w zu%G$;TDDKSlf*Cbc3esJRnAiX312SJ8XkYCKAT~0&^nGw%D<5Z-QoOLzeMUCcS*1P z^GGMMt3UmM{k^|ioZ~zHF!Hy%KI<_0arp=MLq|>kzT|~x7>Ap8bT75bZ4bMVK4k}E z9d%u=J)wI0Fnk^9_XY2irg8c@lb~N#>UWv=^>+(~5TF0K%N{D*=VQ^XG=DF|-AF#3 z+Rds}JBZ4n{m^ecxbdIYF8bbh7vVtPXIsi@s5SWuSOj_M)mI7 zl)#rb#`h2U$QGxl-iBlhBR+fN_EDlD`wPgs9Cv^_*}op_%B4lQ{R{a+6-v$dVR#An z-6!YwM_75{Hrdm`TOwg+Uo!S%VF!GPlLvt>6*>*|y2vHq-wpb=AMxufug;Nt;D|nd z&E@B#b-Kma&)N}3Fi*{`Jcmf$%;x(W%;*+~lWFoDu7Am77x??4B^Cfbu1L3wWLG_? z2syoX$QkrQ@clbJLze4QcCkhuAietO)u~jrp^2f_P20-x4?nns;_hmXLH@Ea6T-iK zwt{}SHmyZ)-J@*@Ve=M^83VfSl{9a3W{W|iniR9nq?aptY-}@U22w(baTHs5b z9Krgpwqf~(2^Leo%+r@!$c~Da9_=Eesik^9r#tZF3aeUZKk+T_WilM+eTnOPl{q)ig8FR>%*XnzRwlvuq?p|V_;b5^V!o>~ zTQGk8Xu<=s>*lw`^)Eg4B(8s{UCR+)TlMK#=sVDQ2KY9;UPoo~EGFV7{*HT+%JP2w zUDU3R4M6-v)v4IG>LJVSQ@t6o2G_rAi`B*9zrCT*FNei~e)V+n66pC9^*yMSD=>dW zl6A|eUJSi`ne_O?ryCI!sd~b`{P)}4Xzx9L57nzD8PE^$-F|NGUI6)2SGhkQ?Kx6n zy)a4n`iL04?jtcP~anr&o9#Y%(rz`xPP*UsL6@vHJF zfG@MX%N4RCuPsLY@(_7BxypPa7Ux!|uDbu~M0Kc6zkoWf;kK+7M z-r@VZ+|cc(NZw@n$`YT;@_rMQ{p_gqX;#olv~S42jM`0_^;?OGM)R<~>zjG*Qdzpz zVKhJW&}l`0uk8H%t3P!a@?yx_38Y64t-B2Lk8$X~C^U1$_had{&A z=SuVaUP=yOd@Wmu`RZpxuzz=EW4ukfw}|xk_mPmd56Ylj_4pC-)5%kHrgr_{75wkQ z`2IB4tQhi{KGbLz|xZew9AGOzk2uMD%OTuP1jizNkdeZnprP=v;5a)0FfQYaSm$+)K$qksC-PLg+PGGY8O zfAy187I}O=YB%STBai!pH!v^7v%a^eUSHU-ll012g>Zeswox44)~Sw?y!oSkCgQWD zCLxaIbrHnJ`-YhR^2g^lpeI%81>mo|5c1}+m`i0ptKEKT7q&M1=ic!B6|&EQV5*mW z7ogp4I_tpKh2L-CcKn8Q!?eh8hV+PTm7rfOy$JuQKf{3sxoPt;wA)0`AK;7@U%Fi> z_)mAf$@#Z`4d7O7&Uv2nn73n)-`u2i_fh^Z&%i&O=QTo{CqzBpp=U+HZh~^i)5@MY z8%F*7f_;^74Ey(Oj6)=^GUi)GRQ}a2=Jns&Ttw?%AoPn@oD)9ZCqQP+B&m>9$T#k%wi)?=U}1>nD%Mp4*;t zKKW0)jK}-0=KTAj%yzfw0;7~`?4$0t`_G46(?^4Kekyt;7jJZ0etCUQx=jwmx%9A z($kIrU;1X8<5X|EJlsGua72qQ`wipE)ta~z{MXX#gZ#>dz?UjA8u;=(Hr%Irb0mBO z`NywV0DPH!{C#&9V+P}^Pz}acL=W`$OZNR^zCLNws&MGPnLQN!__KR3=+ouEm8db7 z@ujBY`j_1Qn%|GPs~qqp=U)K6{N=@nyK2>p@s&5~`3p4*ezP?hU;5nJg<*lt=~uUb zFY$L8ULVtS0=~?|FkTH}Y57M~yJ6h8s~^6tzvkZ+dm5Xsr8KR+dE=G{TP zy!!o3v={iilImp^KL1w9O8^gQ%1;jMk6)~Z+@+}fS@&DWU*c_Nw9EEkpdy0vyGiom z49V%!X(LF^+q=N8D0>0;)8!sud@k!L4C9MR%S70=54o3vy$@w*1`koV=J zR+z8)pUjM}7*Wr`oa)2)n)7{Q${(Tvzkl9ms|9??)N^-{9vOGsi7;yalKskEUJ$<@ zQS%5wznoDj3w%8xMTh;(q{NHfbf!UupRJQtJ06z?W?{3;6P{ z`21V-XnKb9+TZgZC%ryhTh0?rHUnSk+lIiGt340+5>4VFf2k7RFn$(%&G;(Zd=TWz z?MM85I^O^5aV_9~ACzny*%1-zI)LxMTb>^|D?OmHXqX%Ke~EQ{aQ~N_#rGGgJTcHe zm2KN9@I9Z4ap-ta_^MlPDeB`l0KVMvexri|>fFo8@SiKa9e8k+UjR4CHN}3zgpWeI zDDY!H;+KVspxsRzx)=K5@cnJNZa?G$zpOg&rRz?CJ{^nmm&y1Q#_zK8dn9a$1i*Jd zWwiKmC8OT&wE0tSvafeNM8Cx5-N2V0UV`z}UcgUkZ6wx5o8oWeFLfp+=9f6Y?-Q}| z9^3w(*OGl4HZmfsI0 z&cx^aeb`gRSNn9pm)jKijP#gc|04eKb9VI0{QK*gFtW3z74ou9dFmmRRmn7XKe_0- zvJ~YR9WoN~`kNKdC#L0ZK>DQHhxs6OM%~}EbIEC{R|RwY4!utnAdl(N)8Ri|ehJPW z#ZL=y{%8g+$N8gN7WMn)&>m-?*XQJZO^?g|7{T|~xq@jIl3x95QtabY=?ut6c5pxV z&wtJbJouoCjGv~}unw8z!_Y3ztA38xNT*oj;M(!Ya-zd+2!&g<_f7yh;hm)Kew{SV+Pd*PJsuVx} zs*^;0-}LL$e1Fccg^aHk{C-Tkq&e_q8;(IotQ^LZT0w)6VGe&`bP zufPM~ORRIwFi!9@g)xM`u|7DhJJQ@b`(c8E8hq8Zu zE^rX~+n!qmTJzH;qT=oX*A57mL7NGWUT}NeG;sf-$Mdcr$zJ3v0|1x!Yl^}enC-V`1b>f>d;BWEu zEb#r+4)ej+s*C=sHK};t+CLoECj##~3MW2uAkSlxQ}1@)rLwM<(ve<&_m`rCV;Qj! z`c40Fr-;wZD!qpI?A(zUhw8rs<8$v@PC@;)G@hu)t0oe^i64cZUS+YLut)g59^d=T zerlH&J8}QUte%1LnR~lPUe5b?kf=EH6!`I3zB)r?yQDwxrT8z6Pww&`%#$K4;W?qhyWXFc_ z^?$K%>2>O_S=VAa>9-j==OY{ho+C#8Y)HPe)NW%$ZU%jH3H{Z-WTpO3uVRG7>C)h7UQ#p z`_CkKH!D8yWt;ApK>V_3Z`e1n4=$p1Iprr_|H8WhU!pyK-`2%yJ&*X^iJ{0}x?ZkB z#4j2~y+7~Q&8MiWM_vQI)ah39!QY7Quk;Oa17H5d6yQr1nlOjj14p#+HS1gQ_+oC% zPyA}ZIp9n8Ed_nDWP0FB#QO>HRhM1>Uvm3TyuYui5x>Ci2*?kzSrz03nSarL!k666 z&sX_kJCVQqixf-IkKzqB5|w?nhS^vh!DfiIWoBE~05mqdOtAIIM!y`tK0r^*ij_k76m+o1xo)FO%&r z#KF9%h<5j9dCoUK^Lq@K9fG;z#GS)v?h4CeOX6F3WWE$`# z`psKN_5(+>_|gNSu1{1AZBG2^^HO6pIQD3@FkyqK>iY2F9Kh>%WLE>duJc; zC7(?~e4XjQ_!|5A7>ze@L~GwAhzjg~cMSM3YAE8aM)gHmbo?FuQ#TWFx!Tci>X%;i(>AhWk55DVUDm<(s9qJ@ zfb&P+p)k%L?U9R!zY9->_?!9FvHt0b=YUW5AUon`)=o#h&|TLfzqx*gV88T!TGxbUyLkzgX#yAP2!iHZ*~ zv7a&ByE49i_^=%9?PfTl>eq@ci1bn1~I;V$cytweSHY<*2PxJeA z#j|J7uR6R5rF!3a&QQ>`L5qosA9r&5pWSv+*<{KU5)`0%#{SJjz2Nt&sqo^6i!8ox zF7f%pxu#INYZ(Lb`kU6kmmfY4epmTh&mlg!hJSx|%U)x@WZW_wzXSU{>Csg}`(fQ^e!LE?BQhU9-zpkTyGiZp zWlc+Z#E;JofPTTg?A{vo#o;H||M=#Ou& zpU(NK{%NcmS`NT@o4D6Bl;q{n&Ww+rqQ0-#?w=jd+n~ZIqGCROA4pYOdOIvoROL?X zf&QRHg-Qj=y6|+yPrmbe!T<0I@{@?Mdke}hAEI5PIfea=es~D`7MuA7;$&{7L%VrD zm-jdIvaBS%YJXWgziHeFw5#>0v2MtI-4QqSIN=QHkFD_++aJEY2iY?n%dABGgaHeP zimh8%e!<-(C=X5mT)B1iv7YXSy68LsV_O3I8~gHG;}^%6#_! z>z2V(7MU4ea>rxf%QqT0GKlyt?EpRk|3-^1QEv|VXEzky0)0i|FC%$XcOB=UI(ImJ z1>4@DdcP=fU-FOLKCU*!K`%}Pe3-)1uA_Zg#oo~K(}hEzU$F1fVT{re>7i=TfLQS*V{|84#%bvBI3r!$8FUu`tbPxLr`Kd9N!9_zZh z+F%{=+5M0Ek-QyvjpK89GW3g|s{nuYZga-@po`poV>8=dxdQtlGcza8qlK^7zZtG9 zBE9NW;t-;K;FE$QJgm*X>dDe{-KFmYhTXj$>WPtJ_2@sdCj;SIDZ=SiR+Bp$jQKwpVbA=*ZO#)k;iPF zPOz_5*S$ja^xaKZCw$c!lSp3m;QZ=qJ-J3@k?ZwQ&@0suPv7b^{oU>M`dp8|yXZg_#uZ z9?9vO)v>=fzlC6bZ~lt<{pt5iSii;RUpEn-oEY^UoSHPoP*ADqZ{8Dff=`jzYzK<0?yG*#R>v9VpvV!%Z9bz zLvs4(-(b%UObBYO^L!3}1T9$TgVW9paR zc;z-x(=iS3r4u~F{>e7oj&X~F1MU;QOE?JoFQ2J5_Fp1ye8k7bXmyI@-G{u;FUBrk zN@cxcGVF`m5of6^mcL&`)C7kjzPdp|_HX@EkHP}=GI`rz%3t#9ghAv#|A*%JQP^RA zx+GbE1NAH!=BG^Fjq#B(2Jj(LTS4eSq6K z0r(DxM2j!qfAL+ir>-l+!K7?}yl3y_pG5UK>m7{Wt+)&P`2AzLlYjJpcvZ+hB2#ME z*Q5CTqk2nx%nNnvCHfoSh}OOn5y+1+n9q9y-vdOy)wDs#TQ=ks=Cv-)zXPgq8-OoA z=TbVdZ&&d3GgY`-IQhr_#qWqBoU;elBTZzvu9*X(t5ApLi{>en_r|dtO zYm;8Pxqc||nZwx_Ki%$~pnCUrQn^yRfg&84XPSG^7ND$#Hw)%!l5#t^kp--om3 z`oo^O+!eU=dm3T>h&r6Vbd6)cmkH+Yw)w8tu}=u7h&H}r4nNl@53ImERvo_!M!)VB zWcleWfFGObNBB=)IF9=Z{h~b;5Z`rt|GmB+2LFh&6^DfdjOuGkP7@6r(c1UJ%04A~ zs#2_@M8)e-n3v{ZO{`}wd50TRua8CDr`oVE)<<(-Hu9Hhzl{C+b#LHV*50+8?AkhI zLWsH|5m^7^;e%M;^|WTlE3zZMzgtai3;XhyLD;{k&fo4p+)KW}^;PlW0?+Sa_cu^K zT<_$_FXra~v(c}1`{5sdH5m94Cnrv%dXb|N@D=!76Z2LadUl8UBeLGZ^;MG~2-jCl zBtPG%Uv9@d@*_rUAwD~N^mg!Xe-HaIO@r~ISLawU1+?VWCDd+G^ZrXs=#BlPp4o0H z>SK)ppL_BS@>Z_~znW7P{dNo5BTj+)@6dnIAsh0)s<&+d={L)YY#{2=KIQTK9&v`s zVpoN6M0MhQ{|R5F&ezBv>cA`H3p2Yv^!ViI4ul2t$cb}V|FcbuU$MM1%|Ack`|=bA zH*yQ-pU_H?WY=HKI+^5b@3QBJ29B3h|Gyn7(m}s#J9Gu)OV3(Qa{ds%XH#AY$Ncw= z`8`T*ed*R@SMOMX^GE;v4z{1)MUtG0C=5Tzfge{<+0JDA`h*i1rw@w5Z)Q(v%u`vQ zJLk7%E3iK@N6+H=mo3=|*T2k2zJJQLE{gR@UKqmt>wS4T=@-pfB7SDYki$WNqTcZP zFrxON-AdGDpfJj+N_;VdhIuLTB5vY654fck9hkneKF5$(tOaP?^q z^0MZB?DJi{AJ09^Fp>`( z(c0I0!Vq7PW*O&~=BX}|ytnxlfo7|O{9|7S-64Ip_Z6H!>f|l(e45{S662R~bDg1f z?W<2ADnHfSN7QVZ#r{oId1n}vk8Q&`V?M70PIP#CZm&GxDB5Fx3;}-Q#*{Qpb#Nov z&GekxNuSM=6zh*#mH=_kg%6?Kh`^ksdEAVjVKc>T`SR7ssG~LZM}(*ZlEZ zk{ywS^N(oU0sCn`qxMYV)32-VASz!RVEGmYfHzr>-veXzBv_61zd|s6TV@9KYxWv{ z-%5SR6^i!5e0|P-U20TNK%ZKE6#epZDx9RU$xs&hW!-VWi+(i|anr+kBmc_Rg;{^+ z))B-ncD{9x+gCO`jLKh#uV~$o<0k9ld`jJZeTC$Gi$M>F%HL7~U;dj*9LM;Pz?Y~y z3i$G+`T1YJbU*ByqWqpb{VW^weaXJLbO?5Q!yce6=>0V6x4T<#G5YcBu2QkbKn5@ zSNzZSAQo+3g1Fy{pN4SYk~6+Uugu7Ic5~{nB(L5KWK zcody^f9)RTIfDAK&zF#1pR;)yvZKe{guET|d=0hx61}GqHNp3QR~v5?+FfUUf0bSy zdmFW@nwuDJ$2M~O8;uI1diT0D@{n290`jKkJ&xP_wRM9?f5EEolRGyN_)=kg(5`>K z0{qL4S$JGOjpzN!<`UdKeF@?#GmJ;OTo?5os4w8l=go1O?3!LD`w|tSoAElApRa4% zx1U+>j;pX^I^5y>m2x`gubf?;L9T7hOVE?I0miMf4hcv77wqdH36a0-(5v@|UmqWe zd1F@a_vqA}ichIt4tb9CO$3$iMsac9<+w}lUlqR><@n~mhW&>xQ)(OW`$|O)hXtq_ zA9ek5ZtmSwmNi@mwVM-zicwk2=KD8X{H~k6t>NS_~vm+Gw z!+u!Ro%nPJe?M0DZ;p1me+2Zp$@76D(e^yAgE{#AM%89H*LUp_LGpHXf6O1bWjEp` z8hQ&Zx$AZXyiX*^}8B(3&8vF+R6R#HUp>|t4Aeg$^qln=j?e**VsGrl(WM*P)>U$2s! z@7(8LSb&5|h>XXf|KASBkJ@J{^3(td|O0+zTcppAyeC6nTjp|j5 zbH7nsq@8jb@Aqx_j>kVUKGrL@uMqs>X1>IH6a@|=J|bNg;LH4I#z24a^2kRn9j~9J zUdM2k2xE0 zb*0Auk7hzR#_wxvLVmU%e*nHr_LRVvSvrT?TQ!|S^7=C0$Ll}lNB>-<257f&s$>7) z2DUp86yQ^_1@I(}@b6DmqK&WbCXqMHH*L;=KU38UBrmsx zquveReVEG2>!Yg|wLYHX_0if%h`*T75BbX`zi^WD*o`p`lb*m4z5Q6ZfG=4-H{)}2 z7vNj|y#n*e9Oe7N)z%2s-~J4qPqPh*-2lEemW2OxhDw-Mdh1^J$Bm5Zs2_4G?~m=y zH1MA~n0zYr%QmbVivHbN2YFHaJ@SF6)n)<3-G}T*K{&9JwsU)nA16TWO7mc%X3HMn z%LVm7yDFM$Xjq_LEjo_#OSyCe=9jF->zmvj%y@{`av|w;jRySyI~O(UPjd1o$=lQa zwglZgU=dOMf&1_J=f-|fJ|BbgN}uY%JZcw*(?edKIs`n~ph#Jsb8nu2-!a#IM?2fgg14PbWx^xRwO_YZrgY9V)x=-3F3>RD-AW$UmlW72wNt z4nh7fSwk+79{;{E`V;s!TKo3RTFBedNl%h~nXfDMf1>-UHB?qL9&!8z_1a8j^C5FN z*zNgr2jRqKA*P0bfTgN>lcsDjHa?pHg`SAsfbd36-xsc+Th^PF~{xgTGMuMfG5_=<}wu8}=gXV5~T zs$ZIB=trL!z?c3p;x?5{|H=d4_Z9JhFITk*;;Ra*z`jXtcNakoT=pgWqhv$GCjB_c+PvL7y>xZ?27ko=n#;?`@xo6S4n_nVZ|IN9~_O%VYei z=^FG$RO9Qfy7L;$8#S%ybkZa9P2U<8pymbRC-CAQ;LBf0H;>}(GrR%5e2d-CFJnys ze(jq2Q%K&|-_7Gaw-@a;I6nOCTXw{{p-1LjNPMO^UmtK0!+|fK<~r~tmuvvO#M!H? zf5*J##IL`uI+yz8PVxHz^rY%$9Wx2oBbhMw=ONhE$jW~WAQk+M9xxEp@XLgJUp|VV#5%?0TULr2G zR7T`A9lsmqe}LsB@&9j!t1yH8^X*^Th)=~=v!FL|B=Wz_G!XW+zj=k)ZH>fu|AZOc z9Q!YQk*|NLKU2W2i1;y>wI8_T;k5ybsyR-}iDQJ3k`3y2RRh zL|uh+gDC#)-+}yn_oNNcKPe9*ugh4K;UAf|+*$DdyN>-gBOc@SW!f{;FZXvvOYJuI zpU@vzFYZyj*jo$Nzr>vtMQI+nL*;mVcs&sN22*Z&E69I-hW(o?JDS^9t%W_EF-|D8 z+sZX}fqqpE`fbr`(63s?*^l{IBeWQBe2(ug)OROhy^xm+_X?tZeA;vvbOL`LSQbsu zne_SneE+IwK5h!yf9C5KzI63z)UFdGLY@|}{sg|=4|h4fr^A3Ree0h&ko%*{QsTFf zJ=lLEPMo8%*cKc96ZMK%JihhGF+M-1BjW69@cDE=B3gW@>iqki{@C+0?55}Y zF#UiL@Q++|oY%h|&#}MuliOf_Z~G6%cdq<0em}3RzLoLyZR<_cFH@!Gf5Ml~6N3CG zuco+4_D#R-mq}jzm7mwE-u?mAyCfRa|53Lu;*xwd?*Gy;hhzM@Wmt2Plk@6_6Tfd4 zb-iX@TC}Sb3*a}qsLBcGUv*^>@tI1CU|+T0f1B#!-?v>G{(Z;{X#oG& zO>buqpJ}ll`xxJmpRd(pBU%3nvj+M<_GLe8Jj3Jr*a!Me)!uu6uNLhJ(Kw9!fc}~6 zla5e-{F`n)h`Oftv47JkJFtAF9-~OF?;7t8QIWIuV&YTRqw-VaqycE(wrdGdW0P&7 zcAIY#<7?QNZQ!4`5Bc4fxU-V@WQs+=m#M+eZ|mnxPZ6Kb!{;L^Nh|cvj!g%AnWWp` zU)6E?4B`tM(c(+I&&cz;`^8JdZ#EosMAgXE;b8&lULNN0Cmsd;I^NZei;LTKm3jw)-S!lk`J=(j`wYzHZdTd6J*f1GsiA`8@`9 z>>Iv+qQ$THeaP7g=%3%%WE$!533elo=}(=IuS{ls|DIXC<_xv#J5!HQ|6GEN;MejK z;^$@;K>WqSNDS8t2UQv zL-J-jzX#83G>adzqe>gvM(zqe{~$Z?Wk1CRzGR8Gz?Uq}_|Y4V zApU0K436WEwN8?}|6B|H*I#GC`su&^FqQPXp+Bu5DlYTyLw;`!;LDU>jNgacjhFoX zi6(bBey^t;C4F{HyKa!{v5xUIG1()k7v+{zqk8u+#(koG(1X=fuVUV2{OsiQPVYO> z1^ij}ZYC;cuSC1b{e38v?eo0AhpQGoE-X+M9pl5kk8v6J^7$edU-$DJp>{Ka+r^Yj z=SkkxJaCApN}FgV(ZCTczQl!#h>uP62|H!KcSJRQbzz5`ZGrp3| zAbjb@HPC-O;ULe~qUX>r_b%4j|6<>4RQHL`Wj=L}s2;dBg6!z_`#{y7_dL~`3ON~H zWh>(Psvc7c_kYSzUSE8{U*I>hDks(f-*q?QCCBmibIjwJz=JxH8vXO7#!rRbD?Oms zeCUDr`xBA72*0vN>VlMKMEF|x-(=wT5xEu<7E}LJvuUiabXByAr@eqL+hE27Y8Qh- z!Dkw+Vf+^P4*Kn*D!`Yjx)k`513t0*ug4fqb7EAbez{}@Wjmd}5AW0N>I=OE%HAXD zyQEuAe7Xz2A4it{u#)QCe!ee3UhaP!T_{HugZs9pYh8U0jK>i7S@<)P{S_a|p0@FjL< zM85I0uU#fRX8(kn&=;pRa4+Y#Vn1A2kKZ5d`}CZ@7Po|bS9u@$YuZemMRx7&3-F_C z!Rw>`{`x8Or(lm0(0_M|rLvBZ3GtVUULyXY?eyJ*FI#sHj=>4h|tcSuX1NxesTcU%%^$^-;!~#_MC`E7spQIr5|J zn4tsdm7AUcUuMS3$5alyIBYmkdt~<=((6u^LRoyx*GI(gYrvPN|8x(vn@%6c6TiO0 z=a=qNrhSmF!QVeK+Ztd$V23~aFq0jru_Z_J?}lnZ;q@x4!tA8 zhY<}N(c(+3y@B|cfA4RF-1K@2Nw4c^#u4==)}UQvy zJtpK2v3Sx}l2a9moFN)GqP1^g^84v*?_0p9`(-ckwA&f`IQp?U+aEyzC2mZoJ49t< zT-^Vq{+P}0U(LwZ_f4JQz^56<&xiO6^>%^(huDap$?;tTl}&@*r@{i%Up%v($~I1B z;LH5|9PxJ@Hv?ZP^)BE`?^p_XH~bIa$t~ z9B7GrWs0P_h;ok&Z0{Ja|Ef(v>}O^Djj-cyHfjWYUx=^W5)b%M7%Ezq-i>0zQ`4&%dRj(R?NM$sdrSLe+(8+<)4AwP&& zzX4yqc^keyp&Dab5m)VpT{uATU17CjAjP=y6x~&Gz z)aYG|uQz|*LVe*Fy#FdZocH$w`TN(tKs(5*Hf}E2(fLEsf0c=!e-sClJg55 zBRTQ-SL83(?9p(PYjggR-3tI;e#afyk)q^(+TVNgHSGH;XHSqlaZrsRYMKq*MO0TV zbszPEo&#TcN@zaBSI2rs`NMn)f&b*ssgOUNkn4%x?r$3z7NCJ6T6~*gr5_Q$zYq)g z(Y+jehUC}+cf6!&5MK|O_eeusa_+3t`%F=X0a%%AHO3zrHM-I?`}*M~ZuK|f+o z!uqI2Jwm>)N%;OLm4WdfP43O4$NboFJM@kCjs0_N0P>En@)-CsE3+VfnKk@;kvp&e z_|lj2&nG+L^;+Q9O)G`*=_5;kFTe854d@M;_d94r6n=7F-$8O-E?7nNu5N~vXwSmG z4~RZBQFg(3Hxr+z+F~hDv*9=7FIA}Wamcw&z?Z$Yd=Qm=L`{ret}o2^Y8emvHh2D? zVCeZmeEr?eET4Tb{I8CT8AozEx$NAsk96Y{&T*S|u1Q>}vke5D(} zm-xFe=7rmK{VMe@a72qQA1@bh;}T^BzSK7j&p_^GbzI-I*(v~Ey3~H~iISUvFV$`b z@Z~zRX8*hSk<@Qrs~yI#ZUrGe>f}s}&s=|n@yS>zd7j2i3Vi99m4Pp{uN3g5CS3!* zboQ3Omv46f@;2d~)6k!&D&yO4e;e6tHD3|hYgIc z2HCMbnv)%YFV%?eOR+^70$*zCQ{YQZtAYNDA1Y&frp}2?(3@*0@a6J7nMGy4pMQVX zmuqdM{+Z)jcT&9=7KV0}o1dT41vX5kdN=Uk0^+l2GOQpf&+zxZOo9EUsNH`R^&Ik{ z2t)0nY-Jw*ha$k2@!R%Ny`MJyzv1ieBJ7{cGmns*TX2u<|K1jQ%-8{lulO{B^GuxL z-3VWP)92KLFMWi+&*Iba_oMyv(H8ysxz5$FKzrbb7GLgUAFPjl*&$vZt7kYza!VHn75wjt^8Guud0U((smRJlNzNzQ2LHHggMlx# z=pdgzROq&t+C{;>z?bj+={DI_!A*cK)i5#eWjddQyh?ogB=PGS!xs{t{Dq(2_p%!N z=b9{s|IGT%z?Z2Qhv|T=jNiW&LBD-?0oU*K);YL-uNqu}ev^0cG1BiU@^gWrUQ6Ir ztr^7lno<;bQI6Vno$R};*QXH`Dx4CH~ZXX=sDLN=WVuJCXPeqH|+^uHbYCyKhbJ4=BFBZ0r|@;epMTChoAm8 ze3j~j{Opf?dy3?Av6_spDaZGtAJsELziIFn@TbE0`A7F*+kNcsd-X=UD9O(onap!A zFT~e5p-*+$%kew%5%}`8YaSxK_G*%4WY109hjE!4!HB*lu$(63=N7+=@&@c2?xUPAiZ@N=H1Ze0ZN*Bu(bzDPU{_;SH(cz+pt?FiB% zlHEePZOZQ>^f`A!k3GA86SbQa{CyKK+`;eShwi|aE>s8e!@sM+{nPOgUweh$?;(n= z8$kUC9MR%SrQ-8j8Ic9~!tEb|xY|Q^wvm1PDC+!Yas=m>4+r`YzFg$BI+VZctUbVo zy4Dc>(WNhA+_Kn{^Z&)ZjFFD<{iNoC!p1@f1fczgr&m3xl(%Z(Kg zf0MO5|2{MzJMZtCc$Uvn6!?-?ZY>TA=#euDAB22RPLA)PD$p-ReUJPmlB@v^W##(7 zhc2@OxUi23^7V;ajW9oL7G59KgPO><=5^^g(3^c7=fjcRp0 z@YVYj?ea#U@ zJ$gL+Q(ib?QwQm}iM*nr?^4K@Y5yRmZ z8B%%($@@-Y(Lb>!9k2h7PqikyCjGE0gfBOl&!5F%4Sd@i$q;v0;yCc-_we;?KZ>s( z$vWY~pm$U<_{SA&{+RmfQ<}R}Z<{>`BmG{#D^iNeRr&XAcjheep&VMOEAfja865Gu z?KQdo%d&+-PX`4*=o_g*P<|8okfYgP&G5W8y zMBSc2dx+nZT+BZ=ZY^+UPVl}@eu}#O zH9gZU^#2R?{iP+a@6N`6-*lV1@Qc|WV+rhsH{aLF7+& zpw?;PH))HZ|1Qf~;6eAh0{v#h1*{)-|Am>;YD&p5!w%#Wy{ji5rZ{uAbN&4;3 z%B5(WuFM$7>&{;THzFjo81czG{C->)FY5Z!<1vh@t0{mFk^jUx(rb6#c?24p-%qU@ z4|dR-a$ixhqeo1{_}p&>^V$w=w*ma`zu!-G#9MxUiBFUrWx46maB3HeijO5Km+

    u7%ZeT*G&`;Rc~c~j!!rdF6>Jeh7^)97iV+^#x`G318uZ+! zRk+qu>t)09?NBPbIxuj_jSmk+Q;FQInTc5%gQJZ(b0IElKG3*@OmBW~xE+yTro&jq zLpdHlFy5K@o3^ySp|XBmK$hTZW~`=3Rb7*kMuuP5?#lQa-^AV2UAmgB1HOAoV_!>$ z%&@yhp1D?XW8yh@{GsfThb#V#fr>xnngV^NS>265Hy2StSAMQBmw$C&^PEQ2`Oo}q z%w0DK*iP>AMddf_DWm^=3Hegc?fUGhM&b}rO7VGy;CoUk&uMN$Ce`du6o3aRZp$?E{tq9Uspf*Zqv6u#qv4wQ%Jx2-S4ixx0$nf4a>rgX3hJ=%t0c5w_$X5 zbbePFFRx$U0GOtknGHjS3Q%i?U83gns)SB}GV?GrZ$+X?S^%hM6=i~o1t1b+K|+J| z;sD`Fd#EuOo2~_*wVnYS4udL~i)sU2hXVolzy4qT4S>75TOvH%KLGgptG6KhzyJGh zSI>hVm_YtdncnAA@esC~fY#VuwAijy(}p)209(&F%+UY#zx{sz`tr*!i10uE&;QTU z>2$eVjPW14CTfYpG}n?tD!zI12F(hjw^0MY%(u6(&Zp3SXh&tqdlvU{hPF7QzhfJ;?w)wE0sqkxO*8a9Jvb!qO;JJU&(tB_P z&Xd3D^5=*5`8SVJSMRptundG-0Jxr@54&LFl@i+Jd6ggqM0ZR-|8H#ps|c{N5e_A(GFHczy8JYXUU z1s)YFkW4R-);K9*cd;~l;x7y{1@A`n-|>oJ+ECF z#{s}F80Qh@>z{za7W9&t8#c0rnTWu8&{&XwREyL@L|`RlC1P`kZtO&A{nDoPlXN&k zMi6`4!9-ayr(iZD_2O6(hElBxt%QifJ)!WAYG z=r|NnWuP$6q_;Px%QTPUAXVrI{gWSIibeJK_;`1BhjjaxCSJI-Hg6{#e&Q5Yo1B3f zdrjT)o|1o|__kZsdyoyES-EB&kRegj)tv*~4Vw>v_emWP%&mH+kN}!b<=2$3J;6GN z-!&lP&R}_Tps>S*9Rl9d1N)aTYaJVY4^G0@O`LdviSu-KeaVPF#<_c+XMc~;^9sz_ zt}c?Ug!s10)3r0tjsdm+`myGXt0l7T_vrZLaxvMj6>jgd9$henyS0&IK{@t) z{QlAl0q{p9O`Og+C9^21+ZEv!>Ia_YQVIb>VZT>FOl2rsnBX3P>=!0ul)^4l732A- z*j=s!h`4V!wTQy3YOFO1C!TikH$S5dr!?NbYBk!YXz!+PSaTpRf30MczAdqVj}V7XDw{mO|`=y zvPkn1!%V7n2dJ)IqN&z;b90-q&gpbIpU*kGOPm7%jEst4Hd=Q*_eEMEPDQNOrDYq& zGEGY9%A~t8!wl|r~JC;cw3}rWHVwKk_7AIQ)hRY#bli#@hAeZ@Q&_%9K?+P*s zWg-y`XFe1}K=UPl0QB}z3!G)^q`?ew%BK-mZ5CFZaTRMX>hG7UY0PnHjzmxPr0DPCJ;|YmuGLHJ*M+A3?I!@=yQt8vvhw{tNil_|>m|^_$=PCLfCcRMo(Ja46&7 zckkXkRmJ1uJ5?QqgDt>ixwzc6-CNuo%+)MoAmU*_t>(Z-b>%}dV6eLm!)SLv04Zi3 zh7ma1`puVkKn z$ebJEqZvl${2iL4q>OR(_I&C}&DZY!eb>(YC;OIk{Z&`5%DvvF z_$p5aoZp-ey{zqn?Wv;LtC(j@nPF(adiyG{e%HGklXS0&(@kHd0di5f%;(Yn)uQ%O z1E+A}eXxh}w@=N^o-l}~h_AJHFg|YmLboT7VGBai%tNB?G z(Ziwmo*`8nk3-NBM9qxS&Ltw0G7#bIy9Yp9Q0~HMPh=+HOM3tG9N)`mxonEk9kTJ9 zegEh8c@6)|zx?)mKHGWw_19m{^JLodzxvg`w_WhdU;dJa{`sH(`PaYxbrfQzZ*faS z+y2vk`oCj${Q!pQ2tciKDdVzC01X3%VYplXtU-3HJoQ-A<7lV$LNshO8Jd)T7)B8p z$I)D;$K^ysH#avH7BIRz41+;TYY+44cf|q^n=~US0+ENmSYeR)2ojQEI8D;H8|-g?PX_XdT##to zcDMsgQ@_D_Z8wDNR>j1m&AU(2wpS;fKuNVI6#bpkAFGSV8Dkb9nVX`Ks)Km94boN1 z$ZK~>#3MjUg!F118dw`wLtt@^NtqZ#Ov;Brgok1ggH=`UZeIbIri~@vk1A#FB>+t4 zIIs)0TveoaHCeCKAWl5PAxpsVz)zYS^&p)Fktg4G(WJNvJCK^o*+b0z)fp*&el=UZ ze6L=_`?F>L>wXZr6b;xHo>S+4DK{n_u2Kc@FDI}0aH1m0q?Ga?cfVc*n)wq0%?5Bo zET1PRm)s3$UOc&NSI2oj9Z`GKqEDm$?xCCCpxm-t3n@aYy8oZ}HhOKD!~0wq0UH@` zI-TrKZH8wXQYShT^Pb1t=FaHzATzod$0Qj{#5|kEWrls2NHiCAZEoiYhVcbYR$o%R800tilbqlN2-1SO`Jnhz)i zT$|^4nx^bzqJtU%C^IxU91c&}HDU{M!$M$>Cc95^?Ql{g1Ioyd+3mT(U7n|^c)kJA z{^vj6H>~S>6p|nIh3CwBD}pQ;$Om99q=U|u_U!+RGGmC?d4E?yzkPC56kz4=)swn; z%mwCUuwM`Rk<5i)m!gC$8OSZnTOM27{|q&f%a32-dOpzwO@v1X&@88Mb7BheI^4qd zp4Q#3SOCki{E+bhUI>8iIOQ42ypZf?E$95sXS7R)ad1ES?tjM}{#dx*p%4-AI1rOa zyXRIKz3EJA_&~Jiz)P)!<`zU%O^-+uL?a9B+nnhU74jRGg6U?!ZyZ-vQ$7~&?nd*r zOGM@uNUEff)6jTuzTWpbkUzPkokqznedE&IUR3M!)VjQV`}Jp^{W(BkIAsQilwxQE z;)~MaR*lm<&iz`KX?j#=0~_yuSteB-hNCuwL8@f2v8QQK)l!DI&xq)7I9x6ha}n2y z8OPCf?l6SF%2;1bd(EHi^p|lw203l5vt=I<2DDMOL}azFdSHRbi8a!e@!J)^I36A! z&(UupQW7RoMfK{ST81LEvBpK6NPw`_mk!a^tv1 zGIv8(Hep3+q;V5BM!&c(Aabh=uicsX)Vgn@)?PQ;T~$DvnW0n9|GFRmRVkkK~k6j#WWAS*X zS0QExNi}(-iTBuI^bRI=d7=$hVP9@`en~r`r7I-k$gbplo~Nqbr||XORTqEe{$4FV zc=_3Fd^aFjhs4jW-sm=J>>l!;`Hdv6_MM2Jo3d_fW8Qh|;3VjTJk+^u*a{!IKRc80 z{YdT?RW}Iv=+1xU47s%MN*DS+?7sZ-0*f&ZO2eq8_|`6|!{MN6p(N#SI84)Yxm*s1 zgQ){qv6+z04a+0ktqmLJY!A?l%y*k!2!J0heIN7pJ}G$}Z4DWQGLA#xV$Of;B{MT? znC+SmY!PLmrAmvoLqrYSqj}6=BKNHlTKY@4P=F!xt*NThG#!se$4|yllbf5H%jGf*hk2f|L2y|8x&UMa zPs1=0(Xz}&3BdI3s4+o}1x~X1QB^a)X;KToX(Ll~arGepP5+0WQhiUs?kzRFIU}Tr zIrHh$>7)UN*Xmcu{1db~+nGbHDT$A$&B+lnfoLFB2pRog zT0rvM?U3(3b!Tbz6ba`Liw6Y@r$7J<>trMsbUU`})sQp9p2}oKcLQeln}6y`xQYm` zmXieq&tv*MV10^6K-z#;L0h!5L-QH8Ws+e3GExWxXh$-^)z%es!kuI7cHheS&9~M7Iv}sP30*{F=KT>>l#~ zVW1pNM|JO2^>{pHIY2jq{`_7DaKAD4WAa_4Z%qI^JUo1d)&KaDDN4S7%05ZnC;i9& z+rR!+`Hg?MPlvif%O78R_D)Zj8S0YEbVU;slYWRblL=z|nG469zgDB><{oo%LB%glzIs5>+Tpj_;^911S+r>+x zPe1+aiSn0*3;oB-KS*Q?HU7!_;5H*(`9Zn1r#WS2j*JEH)ZRTY9l+i`Q3*? z>H;2%h?Zb2iK@o~Rz-01kV1*6wm4q_#BBh{Ie>O6kumlaP<3PDz!pk`7Lb^^85FnH zs+$aL(UrXd*l;$)Vis%jP#PekEi-b1Uv17$o3N;v9=TehQJ-&QGHmSV)vjyr5tu=0AVEp85Cheq3>Ka@?NmW5kld{fsb(D7;U)bE=is8+zCs zoXQ|oJ!MLm-MLDJbVx@;E+q2EHN#@;a9i%tzMS_=UGs8*nE=Rr&tJv+tgPPw+`#wh z3})IorRgwnu9uwYepPQI+PsInSdrN zvu<@uDp*>UC5AmbjYidGao5dMq_=P1UVZ;mdXWHp<9S1GKTH7GC)qlxH;VOW;Q4*GeX?4&kJ01+9-gQ}`7=FT#~g>d4b z7WQr&59jlPwR~kDInihz&IY~<-zX*i{R%2-$-i`31=y*vCT@LtC~!Jygg=T zue$2)n~u8~>#lP^hM-qLfi!sSm9KEn4TZgB+8BX>PBi9x?SVG695Rbxg2!kM6yNbg zgX^H{9|~f?jS~pQ_4idLM(U7{e;XXDhnS!=7B9N7IjD_Z^9V$xFwD%tw6s5*(@8{v zo9p4Lf$e4qUn`a^G@+4vSHPW$2Heab#(<8A2tv;!)_=zRR}c2UMpuz;PzAYC+Io!X zkY87Ll#{_?{FDJ%hK%{cr-oN|HcR>QP&Mgb=u^dZqq=Wx2f;Juj%*o@XPqBzEC z2M-`Pbu06LxmZ+9!|3Bc$z8BnE*8TXs(P8Gp%l}@RiJS5;?2$G*B}T9*yLp*i?;%X z0&T-4?YClQ6MG=1Y!`)RkKmW|ohAiP>rBKVoJPIBp0_9aO6l1Pmm9@#qQuPB#EvzkUsXxnO&&=S%ed{%huf6&6&R%9d9!CJ5e){RxUw>_-l~QU|qbP=<#6`|c`9!8k?(S~S=W{88IdKya zs~tdC)F83PY*^yLBcf%QnM&2Asid2jMAwTUKsEp-jD_c=+IDU_>kO3^ZP*%F3Y&V8 zhz^5WBDG%$u1X)+0Z=kP4+{!nhQpeiixLySq+&q1O#?N@N=)wO2hRNGM0IFm`jdq% zrf}Pp=tgojy&{4XW5qRUQbuag4qQ`+5Z|nn2ziUiz6*HaCJbt>k_e?Rh?HOk+*U}f z5y@eNR&jQ!sHn0E5sPa1aNLgtxHq8Rfm-|bcs#~MU@s4cLujjaNUj5^QMhguPNH!8 zH5{wk8&0;rIc1C<0)#N5?5b1ezSE8ozE8R1`6TI@k*yu}ptdV2@^s05%>$S#(!_+` z-)^+E6Md@JIYS=pJos7LC#eKCAe#jO`|j}8I6Eg!0Rdt*a|zvqJ~JKp-~36`8!JIl zpstvyeaE{3e_uZ+pE zEJ1o1xo%PXo)Q85Vd;ec_{dXJY&EW)Y3-xw(TXTBNSed%2&kzl-~!74MLRxLah^7i z0tF6@@mZIpL3v}6F`=%Iz_dyTpm979LF%f_+--nbYpr6K4^0!}2N|iCw59-@0MPN& z^UL(-w<>?b3W6VnyF4_{3lR>7>s}H3+x>@@;?549Vxs}Pc2yPgf)$Y9a2RfH5BK*M zzcoiyF|_1ocZ(J*()I!~Ez4O|YTdMiSF3s!sjB%tW4Ik|DP_W>#yB_ayEZahhJ(~u zM21pKgAS_4(`kNpPYA}gHsniGMNB|#4v4H66G~Xi6+*;DkwKv%#HJa@2Ctc2{Y8}s zqCg7;NTv!D1FTLNh$?9<#VmGw=A0q#!9&nO4W=Rj(WB$YI%mHTK8>*-&jk0$qi)#Y zvq{Wq1WcPwK>YyBOOD(@0o;(u+GB%JVAc^{@*23n0FdO=!f`rkBRm=KRHhZ=pBg9sl$SqRLJi$ zI`6*iz-ZUJ0Oj!~xmm@&b|jv9M*q1D9h2oLMtk>=+tW=Y9P5XFn<&bdZW-=}ubXIC zaQ$<~qdj?Q^4T8G`F%7vPu$h{%F}U`gorM0;rm8^Ot!%mB3q6v&?z_pYfvx|8HVOc z(L^HQnL3=JTH!ILp=XsNEm&2FSB1C~u8sfzvoxr+hRE)zoPSt)ApkzwMC80OyP}*c zPl!vm{C{)s_>WQVJK9syvV?W|iWO`Q4Td#ry(!JxtVCmdcCJk+JUqOMJL}6YzkvT?*Mp_cKKlin zPj7h0(EQ*0&ELdfn-0DWb@Anw|3XCLctE?i3>@R(;U2*G`~cv1JOTLRlb@j}YQq`3 zB4R50n(@8ubAWyh2e^K%wj=v;d7P$)aXe&2 z+tds&+Z|I)MiF^z^cpSQh-!!|=5pRpgF*b`@y1$ZM2K~N9LiEdm=N`~O%ctjRk*ZW ztg1sZ$AmM(jkITj!XEZ3xTlR@U_)1{yAZKsL|Zepx#QGyN|-%>DuiGotbX+pxj)br zd)S-qm9~bNjj%#VX?0-~n*2Vz4k54}TB%TYgQ8)s;}oCUaIu;?kjoo{rL9qarDST2 zASP~@Ab_KMTk`iuk~$h7KVQvhv;npbf>hN-yDI}bD`|u!aR>J^j?Vz7gJ=PTgG-$= z?7z*85A@dYap?&UjPZHaFv-w1+8l4Pl%NCpF?8xFH#o|P8gu4sNRS(x3%@#C`KKs0 zD$4jcWbD)e8V=D}0E@93wq<6*FQ=}{`!^lH?M7ff5mC-nx+nwjZWTp=xwG*mAbwB_ zT~oU=Jn}@`-{Q$mV{-r+Rsoqd77>7MZ*OBl=Xq9DX3>ozWlz3#??W>p%T|NK+uE8AV4*X$7t1sz$P8*EwslR)!W!TTo)tCJ_`#xi%bjRGMu&~N^Q0FbloiMHE3P`Mih&@(qfb8Bec1o~&1A+$#3+QPUGVv{via8R1 z4qne5SzbkWmT0Hnzt5AQa1$;e+G-4qG_kVeHEWY;n)KGfT5vTo^w*7DDpUD z8X(sd`S(OiAX;_@ow-x0nmyTbvH;H7{}!8k97hASW+)QpVTaUdo3b>ZYjZce`5{(O z#=hM=(i2n!5>-R)Gdi!>_&k4T8SIWQrQ%LDvTtNAB-EVL1tY^Slu~LHU3DVbS~W#b z_%W5Kto;n`ySY!1Veh*4k54ZIz(wWdDTXpre;q=M3>8CTwXNB zWZWD-_)z|Y5~2Bo$uz)*9!LlD2D|&|wgNbF?fSdl{gbiwyF1hn^FRLM-vjvdum2|i z$Kx?{B~xAP8P&HJTVSOD01~NasyhnByLb0QI316V=LZH2Ly;;bKp;?+g_$jI z!7z*oA(Mx((g-E(Bn4tW?{!5*1QWjfq>KwmbB+I@DnhTDy%f zVCLqWR~2M(KL7%7+N&CjeBacz(#T0fb(Bwv@FL*Qp5UVar#Kv^ua5tn*Rb*_h+wgY zVda~&!-{PxNyf1Vl_h|Psz}=a#6h>fl_agrMoKu3zdIuHDEnG!6x6AkRkF_(0LVlcEv{itKL+vR^1I|N9WL1Yh^zy z@l((P8H?LbS5an`pJZYHfT4f$I-j`I{mHo>ff#&ahwle%4{b9s*-g;ZVb8U6?|Byx zAPULfc0&=ab%I-ziHcZMF2&IL#~+hk2!M|{i7K~?>RUx3{k!9^Nj?%6Bot^mp&R-gAinsKBUHP@vmZdm0L3Kvpv$13)10n?O|ymuZ@A zPPgV?m6#w+on4jZc?wQ6fMGlo9W4ITvdlgUs|v64t1y(ofP3NMTy_-^i`Cu!ZvD5r ztugqMEnnk2`EA<#;W%*yapy(E#KOuA#H+Tze{Le&kR>_YWB-kKTpm&YhSUSuD>MdM zRN0*iUt@$3#qkjgduuW^zrzmwTZ=5Np%qQ!u6~F>tLjl3BX5y0QUQpxU=e@(HT)+` zfobB;XOLVt2JJpn*M6qN^0W+QLSUK<9rnsqWCV7#ot+j?hqKB3UB;ieg_Bk6 z%!KOp9z92%s5*Zx9OkkdVY#P!l%F@iB!3-!xbQnhF#w$9XXCnIhzyJH_S7x-FPRDre4w|du z^BwM)4?N|wlHyIMfX9scX&Bktv9%pZ1@PP7{sVmE|LLE81D~m{zWNHlG|eFr?G943 zLl%Ggw|{+m`|4M}`u7cbrC*8Q@Rx}2__)A%NOyO~Qpz|U-w%LA2LV82W*(`Twj(0b zSssz<8Z`)He0TR+RZI}kj$=0fJzp-z!-0tAc^ZZ>j&3AzijAl7jizaeJBdJrn)=Y? za$)8=FJ&lJv}p>-YG-Dl21FFYFwFDJRKVtC)vgp9QddoeQ4z%vJ3I(3$B_8Uw()V> zWdyQG5JahY3u@*QvPKVRhX9)V5Y6()NshRW?ZhC3|D|EHyRz7W!4KuwyacA~mb0x1 zrWUBnmnq<3$W4R-FCp}d!b}1|SA{Uaezk!KeywVV7}|%lk|?o^f8^;I^G#ekA-gvL znD)RfFsLRgQc4)T14E&1l+`EpFe^Xg&*8z6GS&|)*nvpwxbhhv?}Y|Y#noZCI?ekU zyXWrLrwYvQF`hf+t8RF8>t#PTJ5mI5pk)4AN*Tw|>^Gu7+7ef}{axX?dGTTQQ?xnH zous%BaMH0OHuAi5kUHQ;9@Th``N|ZX?m%;XHugLvLLw`J5s_*8#E@beqo&q6P1EUg zYG)C1&TQ-48uQ5~p8yCwD{%)wd7b2WETx#`ab%e1IX2+U%}wOb_ITemy$}E&Z8F>t zi^?xomRhMaha+I15;3b*YIc9z^a<1zfx!V^?6TYv#T2w`>?(^(?OssC8g)f?;Cq^ei$a^5*#>(cG*tEZaKm!6Wj=A7pXpujO*ghb7^ zyNR>aS`fK?rW{V%_ahKSuMaSXdpnRX@)u%U3H%3byE|Nv`aRv z<2W7;hln34?&FeEz^`a_hSwb;kBTBE?TCR)2H2mS*Mto8yNS>wy$PyMlhkEDCeggS zexetYQqD>46eyZXPHINBSUZV<0qVz0{_bKQAR?RHs*{^2@!F(#cE!ylGj z2!M|^*=mJKabUs-IJ1}o&MlRwkz z49NVUQ!?5Dek&dy9}F>1m-%#a+?KO;)^_5u%tT~Cq#7)>jbxiejDL@LUQ{1L4l)cy zgvarqB8tX6YBw23!)B2Q3NBRZ;&k*zDac~{S!S?B&29VBa*8SwRjsD|Vn|(8$z6m2 zye#5`dW>2F*f!kc@^=dkXqL}F^Xj7_E#4R@Ib9Ku#SW8<`zaXhj)DT!tq{llVMH*3 zwltF<22T0eQ&3e{->fDFY7!1t3KEUgsH!j(%0^K!sjm7^_+V29+MdT221GddgozLB z&nT)1mXp8pfdp2_ij4~q3AL>@MBQk^rPGGNS+n(hgl|~zac<6eao0mVNEv)Z2 zyV$|dj>nvF?Y^54HX*;KMroJ)GQQ1|61KlYbT}LgR*vI%I-SOG4A5^;Y`X@V;-794 z9DruFdY+LykMWRco6t0lW?M7rswuDzb)M615TY?xYp0}FmY128!)~pfGn?X5K3k${ z+B)>K%;J&t#&NXvACE^<1j_p;az?!-cE~--%^rrqgfrc;)a26Ya=BnjBs{ZWpGhwS zz(<=5Ik_1hS)3qlet3d#cX^yZ3DUG7gqf>=NF<$ASXA%Zg=Z+~?q=xjly2!7TBTEv z6p-#lnxVUfPD$yI?(S~HQEB+*_y5l3V9xg5@AbUvS?gXuB?Xw6%_|pkKiSE#qutj{ zjG;IJ=8Q{4gq=S)$hkYoe804E#+^+)%OW~bec&xedSHES@4GE^8Pprg|4ny(jDq8Biek)p)&ZS#7tT9i_OhSAxNWBBTMDcK`;H^V8H5x3!+#qa8wgq_`vU`f zs$>XGtqfQN!u^?#j%S}Hm`E6db`HDOhnS9XzRlRy8<0 z$#C`sIIX;(Dm7!`5cN89KcX5{Cv2BF&k9bRV1U&U+SIBLLoIIT1@3&m0pk~?<(Yb# zsMl|*DWeL37nT%Wgm{=Agu_dRwNYV(5hfN!cYS;PK#;6?1Q}k^EbG5RG3^GX<)2_$ z@N64_iP-Qfc`XYm;zdQ=^X;t~+rdXsTF<0GCdBrgFHs{!=dgITEn%YTb>+DRLH%hKD zhfkC%F%@Ci)j?bFnp~V2nQ!XZ^}k!Cxjw5e2a=-DBToDy;cAIuJwb(T=&AN~#m*LU z8WDXw#7p?y3FL(>ZA?PKpIQ1AulQva>CD_3dCICE1;^r!<7sDAW3OzVt4Lp?W+_yY zqBt;Jz9V-;at+}g2BSAjNP6Dx)1W-K|0m1zGoWmNC)LxU|EkmIquIUm0Hs6ah007} z_iylk!R@3%g?}4`M?ZTbgZdA?b85RY&S^LR`}|&Lfgn6O0zNU=@4x2;a=We^Eo1uw zp$IV32p#MZIk(o$`L?|P<<13{4;@bu-HC+LxyMx_*6pt&E9`R4OMBvXAAzSiK4*lE~l_`Kbc1R8rtjZ8;Ax;u@GCL-{j?h=w~c zQT*LR{qv=*)Z@LuNB>i@+9piAU*I%pVd3wz_?a2jyt5;Ua?+l8Onkr`gTYqoPcXv* z{Y7(1$M+DV#P#)c`z)CQCLwg(iXkMe_;XvM^r13EJ??pN>`=OSrg;Nx62T}IJ@!xg zCaNB21gQLU0KF`6Swi-NWw5Hs93^?rHcs?aG9$?Lp;IrS!pBIK^iF4ghFPT-r=~`@ zd+w9VqI-wf5AMNc^ksOWlnM8b$)E+yNcJtF6RKXpf%98w=-i)baw<9X&bajowilPr z8-Z&J!Ir9ISqB*ncnqgy^fD%o^B$9LbEvd9=L)mi*zbGD@QQlyx6(5K=#hK&)tA@N|hOd=4j&TN-Hbynjm~mK> zFY9>I;_E({o(=3uYpf5}D}8iBbW;Mk>0kL~@DE(&h<;_RI=gnrqe!9fc<-zu>@1WA z6IZ$wZI>Dw7vY9D7g-kco6!pMH4Z_J1%oc<)E&}ml5B{~+~6tq7h{Qkt*19twee^V zO5i52;+6Lw)y?w6*>yZN(&eRJk0o&L*S=b7yhSKpFfuJlG-RshE9RFX1OgJsTlekm zH4sAY(4UfEkaSQ?mV_&R$)9aPL)T7OlTmF2-EkB>#0LN=IwH#w>E}Q}-NMhfNFFAC z8U1Na*#=%zTCc`j_zIry>t6rb0$v{KUh{+=WDRu68=7k9eXR%6ooLDK911^ zIui~pp?F}8o#$>sk%iZnTJryG>l^5)16;(n@LBQH=ZC&RIZ0jYiiEA8MXJgERSv9Q zuGkAq#|~Y^D6J?X#}E4l!BDnzYhqm*1ijL)4u2^43BX3O2xipJ3MDaw79u*VP*V|X zAiM64ftfo&Grp%xtNr>@e3~O|KxpT@HCYMmM!D9xgk5es(LgAK@JMm=W5=0hD2)Bc zYpfR*VdRpHW~(ON^3_r!6jclS*0s^FmpF)<-IvzQmyO9ao`uox7qfO`0K%1cIFGC# zDA8ylATreFJg@Ol&;_R3mXa){v_M2=cRuvdOJ3FagFZ&|Z+css?&}n1)_8H$;Ox#A zj&DwLy|H9<#~C+F!jj7ttnAacP8{YPw`B(eCq1cdB9w7}C<{v-ckbVMjh+3?Tpl4A z70q&&2DSv)+b~0gWm)eKd5_DVp;{S5oJnSxZ_l{&6}oSL*hrZl*1#T4ot32 z++Y~E#0-Jt}5=Sc9dY=Upy%rUs#eN07cmQob4>1c@28Mej z7?m`#uw!GXYfEUDL0`02NTT7cW|Moc&nt!U!g-3(O^tBGDDb7{t7k_if2rTb=4Qp7 z)XT^#V5jc&;Tk9|`JrBY4g^dww*$k_iL}{(y&f@Yj|i83%YOo}z#T%ss@YUuf}9G=C9|9$zQgI?Z|A-=|o`mvdR5 z^F#rtmHVZwK}fOsdo+wsZMnaKtE5T}|51XQFlkni)T7$hn(CTBB zFoo{3aKZhrU%1F?A`}^7W!%CXss>_bhm}HrQKu>TOrn4t7b(lzt{8X&-UAvr?dvL0 zm5B-mH}nad%3(6Two%-zk7GJv4PKc^GI_6b%b6YZ^m5zd^#KPv5)rT8nY0&PMF4-0 zlKqSdKK@5jPPwyOmASE!p?tt0mxavzg0LcqFx&VBl* zdM!Ab`5o`1NA>mJb^!K&?~(95yJ~BfS~v&IZIY}coZWS_wN|$q-LGfXY z3vK)0zivhmN!xyZ4>!*>)2&(MeEhxrU#~U=)calujL<%X6EorMCKEbLGD@KVzL^e$ z$3orAD_eGLdAt3Xq!rMcZte!m09mfm1D6iVLi~bGoIJs?h3sZSYN*42$~PDvm^V?j zhd?hO`k(Ly0b~)(F@}BeQ=x_m7;6V2Vb39@73h+$QGpBoVwEWS9}_RIB~U}3S)hnG zr6+R;Oh1mz{{k66a1+8O+$75B>l=1cC0U89PZcs%|2TG8qy}25pxhkS({Cc{vy2C5}sbmVUK?%ZB_y7NvGVeX5m?+#CdqC=3mIT2)Am>QkV7? zl-*li1kT?#MD=8*cbanjtI14(I;O3N7PA^v1I8%{sALN2G<20n4=PW~vc=0jUwP*t zzn6p7`G8Q2s584`%e%~e%bOsATAe5GzE_;plnX($%~Dgc9bCGW93Dio9fxeULo~!@ zy`%DH5EcLcev^W|E`~i(z~dEX&c35{gbgZSaYE{YX3WS)kGjti#)rHO zhWsBR6|dg9HRHmzDy&mkT!-^ta{JW%f+7YcT*R?y1SVs@6aZ=YY9oxrV?3@~e}De0 z33%BLd}0T@j=bL70s>xO`G}+=vV>jfc|^z0X)~eSVx?!4OvYeN6T&TfF+?#;X6|jo zUHoNhwgKgM!!&hQ4Isp~=*c-f_7X|J42OvWh6El)|CsK>WD~Ulr?0tvEKMx}!Mbn@ zRa#`@l=I5TX4Va$=$++Nqu!+DqmZUU3OCHD(b>foKi8_+};ncUKpSP;dku;*f)4?&PsYaHKbpzVF+rwQqjGjp&MIjPP;UN0z*nIW?opo4rd2SNE8&zTbnq=_)g)K_J#*(Odf7LTFnVuGI za{oks5tJ8tTL+bTT%FeYdvnvU^za=n{y`m%??n>iJ-oaO&VR$x#3!R*1i+~UsN6UH z*J#P_{O8sDUE{T;IgV~+_~37~D>}e~b~(mC$hvmrU5x#Se-8Ia2Pm@gscKwF3ArV6 zD@)gfE{ySGnHL>&^ha1OS%>Y?ItDL^!i%ptv8T!&qrZ1FU}KBAQAym9IASqIPzDg?g~D7KENbyS^F3r=zV%- z<{RquOAGIGGSJb>+>|GmwGlBt^LygpA{EAdaZNRGOysZ*xSKR7G&8D-HK%$HgSPUW zOCcLH#y%@1_fB?@0gMtiF(yl!NZ^T7(_;KRGh3!Ms`n0AL#U}DlZt0$4F`u{&(!_6 z&%}D4Jfy7%?VeaIg21X3wg0cSME!pIJi7_qeR#x|edhJX`{MV;_O|A{)mIr_R}kNH6DwI3fUYASF=i;Ll7Bzm zcN1%TG5UO%|0RrF-4lbOZotm3{wbbXbtU)hs}%27ZF0ttnNbLY%Jmq^OPf17{?(zh z!+|nU%R3IIymwKV_Zkvw|9MRCbJP2^X*cS*XU+c?9xXv3a1`B~FBl=Efi^z2H)w^7 z2{azkKQ>8HEUWwvAlu@B_;B&-VPo++*y=C(O57J?uuGlHVaZ zJ70~G{cAb0KbJD61`wfTEMiR#SuL}b@(5<9kBQ5->Vsqy%I{}qwnZqN-c67D@WjGR z@bH68>hbsO#{=lOapgA^LNe9GzWa6I&mX!2B+}(jE2A+9Y*oS`ZL>?9A)jN5>KDQx z*z_N#GCB>sZf`+}Ix*4XJGWXjf?TK|eHr>|3JYd}JKQFyGNU=BybinTTQrsW!)W3j z5pXmaQZg=eE18;_Kfr;mI9nx!r6Ma|muF=aVTrpq-rIj(gDg8salV2rtFzHX!b;tp zx@Wn|T%)-FL4#26VEa!sKOrC>c_)f|(LWo(l0d*0PdBqn9$!eunp~HJA zuG^RLAB(%U)w0>KndcBL7`U1q#5LE?L$k_hhpf297N=vsUM{x11>aQxW{nw50`Gl6 z3|>u$H_BZ;n_`HQha=3hBWB&!=!H!_QRyzfiD|-ZF{#8KH)1Ih(5dr;l9Q~=Uwq+1 z{`S+qOB28`tUcB3e~reQo4J$AJebEYBlw0&G=ExNV7kd3tI}bm+?amAI)J(q7xeshuD|2M?M&*RgkjwgEwhQEvFl3Ue3Ey;biZ-)K))yNh&AWpSX%T1=kswMkP@{amQ z5*|^*K~wso{O1c>n0V*;qGw-^?=2S!gJy+4(duuxxWaqF80@|E^8eik*6<0>p1AgJ zTPkGOk+-i*h`>?!X#9?8tv}T9Q6RFdM3-E*@Mowe;c!x<0u49P%kYt;N*I>!o=ACL zG%p^0%gfM0iG>FMXnDSmC86uh7aIEYrq@4&<$T9wN;7yW|3!!Z|9ZW-HaFUphMP=F z_vPm`;yju>QN}5-ch_Ye08(xdt3jU?CF+o!L-8|--qK|ViL6*!tzZ%MX4EZ8fqLS( zY51vIz)Q;UgMRjfLGEvE#N!Tk&2{3*jpGM+IL503fF=>vMucLN!=v_5OO(e8Yat0} zVNn?KU3$`)E2LMhJ(c^XX5T0@n9FaX{U<^YKd*(7rvom+gI5r27?D;T3iV_tKG5^G z>M2cZ+qAEW&YdJJ&FdMyMWp!6tbkj1=1z&D-R$u8Mvnl=KDA6%Z2D^GApkm@k#Kvw70pj#~*xL!OSb zsUmhaJH1eDlL$|0#ON{O7*ORx#PL8DOZtk(R#;@egJy>BMz7r|iWvVfso`0){k|Kl zK1Ac&>H*vC=iK;Le74r2hRJH^BX`R<3#nhJu*6bTa|^A}p)?>)M2zAstGrw;6X99I zyMseZKXnJ$9Q>QCl%npj{!h0`w!&fLt1AXou}k2CFEP_bK zsHyUmgDvvICc?q*!veLyK~yTF|AcF3m9DKOUg9QLn3C47;Z)61h#oS@my>Nad|+o2 zpst?xPFVNa7HIEHucJevMtb!fWY8|XAJyhE_M)_;Mugl#*6>v!OFcD7LW_t9g&mHt zw`R3wDP8)uLy4~F2ACI5JIJ}XOEKvD8Grk1YV&4uubmzZ!BjC`R89%SgAgF;%P z!6SzF#s?+C2!q8ov}yfPR4HcCU)!Ls=WMKuLe7^uOSdjQ;7cYV@a*vFq4w2290HcZu8V+Y zeQ~xhVus+7Z&Twq3w1W+3oq7)is;ZYdvG?lIuuYjLefuYpdXl99^-XCxML&V@L?() zE-{o4uJ_d$tHDo#yU8$nrvv`+_xe%){;%Y{>TG}CQkbtH9k8)2>{z50KT=0$i#SoP zWuj-q^eg^B!5jX9jx}>QF&hYnV@5ud`CE!}@QX26-1`35%5TY%Q(VGA#@TO-Ua3?e z&RW<=IYmM=t#_*c=q%ViGOS9_7;t24`|z6Vm>O z7MeGPJlpyg-=J$K3Y-Qj4QTPqHgcq>36H$hW}NS%XL7J{kN3I~2y$IO!4xpdvXvg! zLNe<)jdX>Si^kg`R$EZ$kW<7((H@n>wz(9q`ycohS4HiZB@SKTA1w~ksJBRn9Q~WR zO9JMC(|&8QeD}>j9EbuiB+f;&8!fkg!K#r3dWK9Q6aPzyJKYipAsqHsQqCM*)@{=G zRVHA9;Y|~FFb_sk&h7a0WBhkj8La1Tv7dGByR`jNo`iu$j&XQBtg2-10$sozDe}A? z!5cBTUCihXg!!}08IpR5cuZKgNy zKL7W|#023{u!F|HWQqoHF}SDKofkWIV<2Gcf#>2UZJp~0XMHMsS|@CwNVE78*2?5=^ju`D`Ob`_q44 z)=ZtJ7AgW*FzMB}G~1GlUt+OiUvH^9eQS23s3Mb2L1>GDI=Y&w0+7B2z`fm(?Ni|q z&er6$j1kC*SVxB<*eWbK>@tP(9-_GuImVHN(w0bLY6%_=jb5L1u z+sNz@6(j7M6v`4Yt5u$gI)+IL3wk^Re`t(7vCAZ*h(}>W33skuwj#^@&>|0BUkSz(a{0sT0$%Qqycu2XA8j1@HRJ?0jb9N)@o>ftW9G*kn4F9! zvc9$gV!XZHgK_^$20d_SC!O|If+2k{kh(#B;!`MKNu2nTI*Oj4UEOIRIslRn|yT zE*n2dikY6FIcq8F4RLAVy?0WXa^a^bcbDZk3bEp}5<`--I z?D8J0LZ(O8SP`OTgybTTq(5I}@CNMjC?qma$cE1l$J+j=L=LWbkQv|DGh65=Fe~_S zxURzd3c7mHfuJKg)CNH8^D@j?fRdR}7!-ORj}!{gD|IsOc@n^3kmi_HlcgJ;Bh6oL8{P8fae?s!%r zvS(Yj62gvZ=L)Y>ffAcwmG8Ue9l3Jlw)`AP#r$EVTmy{|#l*YvNd&6xS7}|JZUH0) z(M(AdhU5ZhGCNgZ`I(%#mGSgY%@7Zf5eWFU+{yJ({rcPQ|6e>OPkkd1i5wO{&|A23xKhD! zVUX9FA3j`sLw0duXDY}`ZL8aX9QRQPfv~89BLF2uK;5WmL-1J?6ERz|kSL&i!p_#Y zrPcrD(F^o7Ft9FW{7}b{QI<8{rN@-G+IR6^7lL8>BG&lJkA^=^&mVe99PK4MTIXJg zkWzJaVf`C3PD;`Rs72LJ%r20F)(en_~Q)Fh0)KoQYYf`R`* zxRg-fx3{On?jv2zUm{RyAgoU6aU}3TA`AM~f`qX_wwN~A$6h){KcRhXh>sfriIlbO z-T^XwumbW>E6$Gtll!S_PUNxfVp;S`LMC`K@P4B^qx0IJn8}Um5gHz?u1!@3z3+|a zEo5~5*h_SqNwL-np(f)X(00c{YG&zKvV3c9ifhI9M%!AECbOeODI69S@&e!DByKH8X||9zmXDyo#(N@QjbmI?TmE?q?@ z9JLgYI;^Hqs*n$cU46DDzg|@feqHQ&FaW&#*M%}GuImiHN*aA*323ym%d@3_3UL`L zMi=IoYO;KdFc3JmKUS}xs3pxzs72+WstvQ~6`cKCNKROGmivjh>}|y62b)J5l@}{j zR*O~%JH#D<&{duy>$ySz5CC{5FQZ5KP05$`drWKl3;cwent+2AVB-IA9We0i z-#b1d7KO-R&$95gB&rf66#9h(I%>fj9D}Qi2VA-0 z2S){E>Q$mc(f}y;W%Q75fer{sT5AZX7PY}~QRsBE?F-?0*#m$gLm{NMPU3zd5V9}W z6;wRnnilP68CCz!|LGLq*$%!(HTwjzyg#;M4~GbjGZ zlW(wr3kX*kJx|t8StC4BhWnE#ns3Tr-dQNx0Ixe>n&Y=MSz#jXTgW4gL3NQmN)mL+=5Jk@ zMTt)7F7QO0TM>~I3Mm^uwD{419_3I2XVt_&o`bl?bsQImwfWDCOgxwN9PNARKPrdN z@RbsbG;9$N?BK$q8^OnWu$(4(&Q?1=e=*7{IP(o>gq|zI;d^oosJUv?<@o)tWc!hO z)mwqA3|6ctnzbE(v}r>5S5bF|8u#2?ZEK)Y#KnhV_{w_sNo0E?2a|$(+?s{cjDhzQ zfrd6nIqRJ%%anzY%~26_khb%n1iI$LY>x}JiavMxkZxUB%F|Scm3!c?x4u`I5e16dH@y|5%_Ba85?83oa8T1oo-DJD z%?*jhU~{V4(Hs|%jEa0GVLJ4f>b|&-%3Myv*9!Z4CFEFzk&GE>TvSC4lmqgv#|rSy z=Ji&o?Quq_KKh}XOF%hq?zeZhv|u2%A*!zXXWZikJ~0z)Vs`XfVWjutX<;e^*;7Q; zQ;yn6>T1axcsxk)N@nRG6l&#>IRm4 zMDc(A+x@W($t=&nppP&?rndYUhpyE7os{8M?lRd7+3{iSA@)O4uJId)DC0KA2Y`zR zPtf>Kmjpmv(VFIm`?1?*&q`j$c@s1*VPyRN#k&J0yeP1pz>K^g58UcdTw6H;g`u$l z#ketAoWflhq%+`*0VQN~_q0P7@ilC+h(5KHGi9TMjCB*Q8N4H#ccAQ*h={dup*B=72dR3RrF4 zO+28P#F3cwIKzlA(dV`Kur1OAqJ}7cgl*#0DO~SOn9Uj)^f%KjN{YWN!%-jD-ly!n z@FAkn*YE;KRb*ki6J9=+P&8_~YiF`VcuZ*9Tc;sN>Y#Qbjtz9;-`}Tw3t-d1beN9DrN#pv}1>2`1d7aBHUgVDuRZAj(wcSfQkqY$N zab;>6o=%2}8k?9pL7TK0wOO2{x1=TjK0=@0ivz{r+_dVW33+=XCVt(#vY%?ys=M>{ zY7)lp$mvNru;gSaD7v%|woS&od~8}hor!B3DI5K0sUA*_#&Le4_=TQkhXL3v&e^nw zc4t8KS*OZ+F98Q*==@zMIn&o&f5`=*b2lX!7%fMJ+ycFfQHF(DoZ;95lYTx?7B%NB zABJy+cdo@X;jz7eH=v08DzDVLvGIXDx42P18gvm(ADWaUBJ{22%0* zxeab=2p!u*7e^Wdg9MaX_TKU>36gVOi1^jwSlseozAwaIEk-F=2jj`d5^H~|4!XAS z|H{5lSiW;O;#DKG0#Pkr;~;$Ylr0!z$K_3uSF7e0$Y*p|yi*gFu^o3#MrdS$v?d3Z zp=*#2gDmvo7QpPG1p_>gEh*hT6??ebz&mqzcM4Z1=ralzS?UO>O;_#I3tBUw76x3(2W_xx_2@^ zw755F$k9dW1eamzd-w|$?4x5I75POg*%J4-J#J3sf9I8YM|(S-*N!`UOg6Dq!n5X3 z^pql(w<4F>ypT_kXHd}sJ4U~w-qF+j?q;z9zf+4bjLS75X!=n@-txZ`cc>Lr1S|CyB8?B`$cY@o(6gC%VJ12bV440h=NWI&WW(YOWIy$P#2gn9zUo~3i9 zakP7$$GU z)N_O70Jd3J0|l(qeBW&drgcZ>JD6Y49moDsi4zLsaaiVnd?EQZ~9FEWI@$ zT%>%S0kHO|*x*O;VUlsFJ|_owVy?bR=_waSIP>pul|fy-^^>hgntc$!M_aaQ`g1+< z4H<_8JMJhA%1eq z`MBP0?XsJ{K2^6gD*|5$t%6t!lyo~~qW;-BhUFm8D2a-iM4mb!HA?X^los2`P1p#$ zz3tD#8Xev_Se;18Hc%EO@fqefVPol#-U2>c`g`zK$H`pnz@$M;!|*R^8C{`olh|I6hi%d5ZJo^4}5;b>|)U87=!s@v^qZ%iT4_IbxTF?z`MVBFwng&_nY8TmA7nkn?0Y1{c2L@T4Sdp{xS z5;Sx@-sxndYDYqzqRB#n5v?Qko)VhC-x!P9d+D(~J^n5BOIE}$Uq=G>n`yo&EKVT) z!}>}3y{7b!&4Azs@M4zoL=8!5>K|{1g9~w8`>+3|oIbqWviRX{pSWV*MB~_;K zq73p@;JT3F!1$`Nxbi6YWXS{;G5Dj50oY}Xdy$|#z5-VMMgk` zuzp;+GPcGAu`_sc8{B4q9eKm2ev9)B;QYDnuK9UJSAJoSGq>2J^Jmp#2Rqvbo3Q2G z1&NbsDdf~??*}&G5o|Z>7|`#kDjtc@uLBBdeu4>>N{C?(N`7fKu1X44LDU0|-0^0k z^@88NG%q2cmLXX27=xR-Kmd3t!7pMOt(6$T)@S&}Fbb}1WoJ{oRs07Lgu~Rb)tXoA ztTt$#4{N06S@=;#)@-<35rnTvG*R}nJF!yRj`KMz#v~@wB1WybS8i%~`9mgRr-$CZ zPjYmi8x6qnjy{SSd2!vRc$T-^lsio*7sK=L=EG)Kr2GHxq+wp&gSPbZ z65`%eq{T*MAr zrCgv4d-LNrxHkg>s|x{uOxvau-ChrtmQ*_WmyAE!Wt@MuyLuuneu`|TZ@z9GpU;Q` zzlsy%N#wt^2QZd%!&~H9QDTG()`Lnrzx7?-6hO=6*oP3lpF^qlDQ!P@eT+ZW8E#{> zHbVMBGqbrF55@oW%Ns?{LkryLt4CD92BJNZS+qMsu&YrOr0%q+>^~|~YFV+#5M1hw!|e1JmBRgG&Jrx#n>Z*sw(JvqPAW3x8W3~iV->O zs;PTu@_E=D$e;_J8E{T62F}cqApLTY3AGSq0>#&an7t~k*y#b#&n;nLj@y1f(P_(o zco5_F!eCeW{?rc9&u!Ni!#oep+TD#flgcQDH8;84Zq9+?6cKsHMjNqH`}@V+n7h){ z5^E}E7wWcHm}ZnCzwik2y(}SU%nW_V?Pd%NLLTu8ddJ(xrTr7T6$?^?i;Fh23*E9W zxXEOAyqslPd?3&|Qv>P0`QXbl|9nD0oAZO)B+QF>cy=$i^wH~^!S;4{N9M7SpE^lB zluOn63k^NA6+7CF6y04rrJbEJ1ZiY44#}f3EnHd;qGz3FgPZO{$0SnP$)UbNGLoZj zUgmZC4M`2ghsjX{-$TteyTCM7x~!s3#5G$DK6LXvdhw$;l2SN`fhcj?6K`}ekPwpMY$!4w359LI~20FL_AN~@LBDfe$|vd#n+ zH6=w$#mOq)9Lv$q7-~c(^_0y=2QlqS=97%$688VV#c1nfL_N7Wx_Y^x#xiY{5uv(J zn_fNr*Lw4!@W-!A>al6M=jk_wfJ}Pud)Fodz}>+j`@VqiwA8_d!{YjS3N&HAC7CD(2K(e~LHzm)(Uh#>Fp- zgjHZ894EA^Vx?zl!YhfPolg-U1A*RhO?fToMtm~Tl`^uBFu>FI z(fVHOPl@Hu^)>e+<1M|~QRKn>A2=p>U+m3X<87AV@0BqipU0KTyyMme|3xeUKTPB$ z{$nTKTO9`e9XWHR`T!;(zK7|-VQM=Yq|9u#pPO2}{&>8xCMvAtpIxhqwxZ~(Y8SSG z14>34gYD#yM^ORAZyK*@+d|Z({d9jYgJSb7{jThyThP(|4xbq9(>Hl)f#F|=rCQE? zn|3u0wP-83V6HS;G%_{fU&4qohHajW=_~e1f}_C>3$L>*66vLq7&DBc+!XPzB#d)h zDZp7-Jfrkg@8VgF6nIAnyQjpM zILRCtId8jx3-ii4@1ZepLtA;yco&a5SbMQQJjPW=J;lJ0u`qlT5uaNil$Ao+is2;o)|WDSCXnDJA}#^zpQ`V-fD3}o`?8w|HhDgPV`d zlR155&tx~rF9$yt4KC`=`B{nv>McA*KHq&Nz+9w- zpr>-1B^X;tB}jfU{q{(pf(^Cw%p()bn_yYf*ql2x=`B5^?AqfWKfz-h;JM1Z=J!!( zI95B?_s)C4gitEUvd7eN`r$4|2f{7&^iqw{rpO^5MT=kV z-7=w<89DIfWUBUC9dE%l!4ND-{zwM8sNe-Wp@MR z?^w4*HRb;wT(;&_0EcHj02l9Y=f14zuoGk-J~uA(o0jT}k{s>djLNsfphHJRQrV2p z`7lFeGfKHsk?R+rMe^R>;y9BNx3cmrTyhOFa)u86zJdB+=?n#jH0vavT6sMc#2c35MEbBh0|OcYW6a@ zcA;Ndeci;2)! z*_qsuApb`lb6!nJ3sbR1vqR3tx{Uo#fknill+^pH2IWFcHpe^c@})kC`W)jHt(a^M z@!I%~VNtkMF~moF^+ctEitD2~)8Am5H7j=;TX_MmkK9rg2)!IZ^zXyTbNr0HWb*gM z%gZ0p-LPtrR&dp8ph%E;dbaTdVAT(G-dQIx8*Y*<9e=R;70G%0;v%w<4cdu_F3_$7 z%D65|Yip-}8l*CC6s+}If_wwUO{7L;t~>$_YsBVJaq=3xQB5AL@@!KOd!Ogw1z{=Z zF;Qrs>TimqNL!b*bx~pX3*gZ$`;ghGnD5!@Dju`C0@49yw+QlACEE`sUWFmW%{=;3 zlTmX~c9bJCN7H5!oQMNLoE#CWkNqvM7W;P`t*w(XDIG|(+mQD(FwlkmLV%+oA9Y~* zB1CQH{y#a3;T`yRRn|Q;8k}uhkI}te!&$^so1cM< zW6BPFl$ucfQ6dGpJRVK|2=MO}>A$>GrxmBVk?5L!fqE0u0M2(ai*|rB)7EpmF&+t(?;G3XqvX#D1+>DE8mMQf4r zwDDSg1b7N#@9*C~E$}_J5!6`mNR`^+*xr1B44d}bGV!(|DF!iwDwUmwFn_V!n$<3l zS)rB1OeAAEUl2t|v1ZJ%lV*9VV952Ued+)KIBxbsa1jeUu&A~IjeyaJ2zSs+@f}SG zyh|kZP`8<5)E$fDZ@&#i-0={Dw?;#JXH2y*RmCG+LrSZ0(_CKz%+9&woj-_^4PCLv zPv~1>CjH%%{t_p*G}I`J*ThkmiFq{;vZUu>fmCMCw_Qn*9|6FVfO{)WTP1Hap4l2}Cn1i&5D)Z0C zJkw1#J=h~Ren0e*vghqTuoVn@{A*k=wkD0xsbEt+XjC>QAGTn7xy2!A zmP4O6<<2;C;Q@CM#a2L3qjCA;_p!7YWf30QIy*yQ%FfOSzc_F1?g+Yd0~zcC-Bwpe zhszhsCQuGG&L7{v zkKR+6_Hl;B4M&K5UW}G+uoiQ_ADk5(YU@S#-+v5EgB!Nsv-IqUbWZC>xaM>RQHs_H zTZ{8(vI)G!^)^U;%QWCOFJS#GWiP3#Xqc9>CCouHv-vPJl+w}C+#xug@i9O&Vc$02-$u0QWASp`#}Q+6BKl8W z>iYPx#v$0J`exttEj^=0;r}DUc!5d?|EGa5P0m{cd!6e{?h2!ZUvB9{6(W4g>a%M= zfQNFxu)Nyv@qqy&y@ZhgfoWJX2Rs|WqYe}29298QA{iI3XYJx3qD6t8i2PpuOcSkK z1v%p<;4S9ji~H0T7Nw>Qq#Z#rn2Uu@zkz)Hv$5secH|GGmL1g)O>*Gf$-9dQihnr$ z`{hrJgl6lcKu9aLTqivdVECq)gXB$$%wjc;=zZ=RbX1i)ubw-#VCy6=92}b)i;RRQ zfu~;63>74%ymJsi#6Yh?hP6GOeaq@g)-esZLRucxj4Kk6E2G{MBX0ZRv!yWE?V9mW zLh`H&fIsCF8DK^Y7e#j3yg?8f+P|bVE*L7bF0gq^Fr=i{(*>RO%578$Ghr&txQ*Y@ zg5MY*93YV;El0<|V8xJ*hi>z0eKdtlUW=4*#tNfFrC7J?Z3JL6E;cHP3NVlDx8y+0CY8&bh(-W20P-k5Es=flI|=XQs&^wn;#J2?E| zxJmsG?sceQt0O+5?7-t4I?zF-h=f}jqkMHQ^;Mr%Ifrt7|2~(TpbC_fXkn-SZ(Hpr zmVa!%Gj0u?Q@e=^DmfAiuLR;-rfL((D0Gfg8XY3Af!SF3Wn5=fJ0UXj)_F%z5K>;L zhC6t1z+6O1!>S#_V0QeO0Sv4JU(^aL1_EHFs=GR40-R@Sgz_F@xd3fJ4g5Y!%B$y$ z?h+c4m;oy6)B$Zwp-6+L&h`k4ua1Hk1mK|?Z=Mr7K_r)3dK{{q9}$1+N+yn`CtIzo zdZ*0oUUH_6Svi3Ed2Y}d&uuh7DDc@J{~5CvUhiTEB^~bW?AD(3!uh5%B*Td(Lm!l2 zTu%oXpm}VWLV2dZ$bndC+X&Tb1{n>Aneow45E@6p4%asK=xSZ99Df7HXjyL?-akp- zG=&P8zWX$YbYR!1Zmq0MiuWLF!+?sQYnWPwYn_h0R*hN_O^J%j@4|x~7a|7m`2`Ss zQ{m8|d8tINnX^4SQ9!I?W^^I;xkxwdpOg)8iy?Yw%#pjk^n*8{aa@hKMwom%}qp}sU!St$9BkH&<8O%$736?pV`Jep}~cLoMPhwGmhe>xbw zxrNw942U7hv15aTpcDwq5P2|qEvF&TfBBbx31Y+E%=3JIfB*XRYdBT*#TQ?Urzx>O;eDmgw&D!~Vwi{Vp0zgiyn7)>oBpD^JUl`HgAok!?RuBn$8X!{+nGERu zjWrex6VD|i!VCw3haPsnUxm^7c z=($x~RaIRUWhPlIbs&J$s>()LJUm>0?Y}Ea!mo9bhoBa2Pl%>QK){g0Zx(3IX=?01;lj8spXgHZtY>?cLn~ z4EOgIMz#Hs6QpS0nnMj}nFj!e%-QK);cMsco5X&mHYG4#X zU4#fyrJ2W=MvW>l%TgOgcUJs7EdiKJRgZ{_p|28mm~+2(%slHdGfbU5Y^=TBwsHN~ zFtr?WzFD?n1PVmr;s*jOQkPYtOeP7m(v*l*&5fXuk4j1uw!PXk`#~fs3?epAV+x9m zcw+X@04->Q26iGQl@&>-nL_|XhOvy@2qIF^rPfxAQ3Ik?gxTzuwa)c?na6QZK&qCa z%=Gn}dm>jP zetT&&fQbS)sbl3Sj$ubSD`FA@o#&tdaZq>Azxy+z|M)jQn1X&to3ptB99xqcNe88r zTc|GXaI{miCKa|qBwG~IH0AZSZ+YGYsc9FLxYC%1ls7h5UxmFdiAfv{fZ~D-!7=~Fos#KIxrAn11Qm<{{ zT3{U$!7sBIb8Z;;=H_6ret!0|8vxT(0Q|*Y{1U#<{iFi`R~b@ly-$Ry(ylZ!?=cA5K(@E74fq-xVD;l3 zG*aMcX7kp=jTWHL`JvKcgaKec&9b;~vDjg2vdQ%UCxnWRHNdPW80!4aMmMP1f>2ZV zQMW1r#IAf&B_>lD($&PoO5Uu8mE$3@MiEii$U~}_+aGiFQ zbi1Y$pX>|SqosgHd;W2Jk_muF5m$@cNsjDX#fv*3H5iu*M2L^Jb=fDE%O&fasOx{* zE<2r0W*CaCgPI)kHN)cgDdS6WJ~z2`zG<@r6wcC&fBxrx7Lot)KmG@~V;t-0USI!s zJQC6QdglNaSBac*aYUwf?CC@Yz78Ypo=xYIg0>L3fEd~ zJJ_4dO?gQlc%p>8?C+kTzW<~H-1cT18%N62#;`s3cy*k2MGGjT2dzO{OMu)YYQApT zd%MGu7`^@X_3QD|+ds1cJeqcJ`8U9S?QHzm#1_T@H`og^*I{>uWL|OX{^EfiAI~D9 zqQnF;2cV=*vfI`U-~#AUms(|YwMos9Wz%Ru^C@J_F+CmA`g7dV=r@C^waPe-?t3@h zQ`Bu#4K-h$jlV$6chGtRImEZi9!^w1QP3zrV>~dG7T;^N5_Y<;1>YqbS-aPvT13>s z7aFOME=Y6g-$n`TrzU?lxNmJWKdrS^BO~fOs~R9P^#JPvn}i=ACYq+D3`KRRRhFgB z(=v?BCzYsbUCL1MGFE6w&Q*URDFdC1_=APty^qLNIcFepN{)KEJmPV(;4I|s9@&!+ z>|yT=!!?4rl;H78vJ)^4eIPtdy7;C5ldB_VAsc8u91hbog?mkGJ^FWOIJ%!Hfxy98 z=OoUwoGhma6Xtmi&HjwA_aoz{$2w5)rwz{Wcnr0rOo2ormt}c)c$lVXS(fa-HIQ+h zf^H&m?Up**=y0KfE$)w6@^nNu<3pPZbK3Lj)vL?p^4s73)|B$&HjQm&NL6FZ`C4N# z`88AIWFkTG;MWcm7+=E}m7<}aM?iBMy39HrOnjzMwLL5gYF!!&lXSYwAmW1YaCmsw z`0W|Ta=FX^-Q0}s7ii-m;9B~L-Jc&|QVmvjFkBm>SCgXoQ(p%(UzR%0)hwn$7ibuY zh+Hns{iRoTy|fS}1j?tRZsadF=VxQkYdp6I80|-D|4}G|;jq;MWNilFsS}t$Oe?k} zg=qvyi*Db7G)@J!Z zK5@F#N-KG$s!DY==Y>TQfHC~k&nr?h@D->oL?o((SpgE*5joEb0mL-V#-=3`(HJda zxI?Ne3K9MK&Hdf&ji>-xt4{M=Yb{GLgFlB6ZRD@6)sHWAfUMgLfhHq!IKB)N8<_(u zlY8w9O(E>GL9SL8=q*ai$|1#L568j|@kJ(4f?L10Vdx$>`4obC;c!^x}34I)G^ZniB7-NDUPzhzlEHsunwl zRYjo;a%{m2bq7APsEOX!vx!ux*2Nu;Sa9E>(4`7-3ow2@pKF!lad3SeEX#Gr|1aqS zP2UyB`Rc28pMH9~hv~=TP^(PSay~D|;{brUh}6i}A$~Mu*%iM^1A+tHe%OKsbGSJS z!%72;L{?kauJ|X7d3{A5&}s^|ykxK(`u6R8t-^(a=S2mV^TnIwUW5o*)vSRVr&&Z) zKu{4;V>?;1n7ODs3-WeSQ(;f&p>-ZcHju%Igx*7qc*tN2+e;;9_FK)`&?G85d=tKa z0M`UtiK_+<)OC5RG!mC}s0Rjy>*sqH2v8;x2q^)mCNyY8z~cM1(kwVhwo@;#8q0uX z5vfv2(WuVAOZ1Vi>F8%N$(~QAleN5hc!X#P zxh~E9{k<6ho2CsMo5EH3b8Ow9^x&4zNTv>XgyZwft|!{N{V?9V>^ z^wZPn#LTDD$r@~+0S+%#1ai$T>RZJCZNt5U5{k1{lrb~7@OhY1QyqGGN} ze1j7ew_P+cz?2x8-UU&3^k4NgnP?csS}T(pL2mj6cXzMezI|))1YFHP0s7tV9^u&Q z*T3eF+Q-Y6^rKDr^fBvLJEcX=04$P{Hm5XX|85Itpq7#`z_QffqdO2()#gx=s0>5# zy9%y8vuRSOnnZG?Oxg+o)-LSM#}z!7pnuH?c(97-O9;@O9w^J9V1gL$zxm2<6afm( z=d*5fmc*>^=Xv%`L8?;408<5-Eq+rfvMw<5vMdOmKifI5>78Fl4Z8>75@A8x+<0RG zaIDj$7QL9aj1nw z+J*dYq|7f5oNW&=bivD~Z6sg- zUw{2|G}!p`Uw!peW~EaiA@WSoRvN&}7Pc%*djl53F>bBZwEvB#&f8$ds%jyG^Bi?U z8Y5sV_UgfgtzkI=ag0eUDl0jl{OIZC=H~OyKfk%TF*p3aPZN|OzXV*q3P|LU*)N>xoU={LXm&3;GZ6_UxbXcF(V zC-yt*c{<^R0Qj(zh#LF{k(d&XHaB`zjE};m!pqE6+9!aP((Zm$KtWW9s){bv7PPTg z;@l)+5>-}?3)|MDHrpd}^K8e2v1S*?Nd(~b_OuP-b!Ab$p#PszqEOW7{%t>R<8~$H z{rWQBDB4H|q;s-kn)s(%*q=^+-R1!~%V!vht;*p1`*Xa0rlTRDfOomwieSB5CS%eY zA#Jyb-AQIS;~ceRS!NMcXstqw!ll+lRaHVSKYC6??6=g~in#tolvzWUH}j~BeE@=} zu)70l2!mqm8lNC*BXH6)vFb1B3GdGW3mb%PU72*a7Rb&_n5xsqPPek{s zL|~>;cpMJ^T#&L^!^7QDJKj5GkwBWF{y%T^hw^hIfXQ8D+-j zNc)}LyH4bPifqV*1P&wjx3dTFp+|1?K(;9DRLt{Nxfk((#I`pA!w-k5ZedJGOtBx{ z{mb0h=yFD}hI(gDk^&eT3b#&$^B+nMP30c|rn^S7W!H z-!oCV#=5of$EOzp;6qMSmc<+wlCMZ6VkTCF0Sh%hJW9>^9$8Eq6So5d4rD@wNQu<$ z=u!Y86)2>|^J#I5iaYWX)x}tf)F@-yLc}}*EHaDeF!1B!gI+P&c?#&i!2b^>#eIxb z3n-Z4Sx=)ou&&_pK-6#EJRFbX@i-HOsMxn z$-(uH@y}2=hQdX!>zJ#m$t5htmc0zPAG~?{JjgRmDYrbGU2V;np1qL)=DM`j`cMD# zPeyY5@|VB-@BjV32hA3i<$5WJ?C0Cu8^+XUO%3ok}tco0%kQ%|z- zF=As6=({a*l?=$MXrJDPNO&OtKHy}U_ojmbRU(E$UH2D$irMWBzu?uR-fSzZZ2%Av zDM;GsL@lU}76K|$(I#Ust|T#+Wtk6$Q6&5)*u~sz3QHN61r2RL5-NeHqc*wwo#MuvLk*e9A_z1H3Yvtpbc?i5gj{k(5%MSSpYRX#f+D?sz2O2& zazz1N6HQPE2+#l?stTw9m8hH|Gb7?g+{q_1)AJUe>G9*LW`6y~kTLl|A=0k7nwpx9 z-gZawUe1er84H(?^xbzPRF7EnlM*#=z~kSHTuj|Hg~ z!Ar>Ss_o^j^pow2WT%z~4Qh#hi&LL=sd#W8s&>h(s#j>)+k0myM4w{2S#6%iFhRo4sW zineVRi)AnXKqCSAv!Y<65+ov=l(Si*Gjp+6eb?Xp-D5n?Ard_3z4yMa&m!+Z=(qm) zedETDuGODE``f?0R{7VBzWnmRORfKZ|KESN_rC5s0Y-P*+-x={lDclaZ)dZ4*n(*~ zor(~%54Im1WapL#AZB{_@RW$g;}T{S_>qWIJTF~dVSAi)XrO5tWAu`0nQ#nSHeij% zu*aA}|1~)s2Wfvi`%*23*1u9&OqZ8+)714MoF$!9&p8KSy|zDS@H!=cIvID&IWu)e zdakJ(4Fm*C9P)oT=e&3dm>c+h<(5a?Vef$Zon!nOiTpXJar94Sc3IFBbUn3_{{`=Y z(2JpC?9QNg0&EC8m%R7h!yE`Q-6;N}5IG{(cFGX;-b39fUA$9iTk*d29^Mk2U|52R zMnu|{Jhy0Vp0oFyXPINyw$e5Y5ds16a)Gdh0-XRm_QEXUa`YbXS!apl9Q?358S3HT zu}Ei+QI-WW&*ux5XOA9V=#!v#&7)QwaUYee0w@PJiJzU>O=pQ zkf2Iejh(Kvo^eTq))r=2q-a5#)~P%IAR}NL9D?n;vXGS5ww8lXU$3p{3mG|=UG-&I z+CVzAt^}~x6xK|-lcXQzy}!J?oX_XFi^5z7G5*ib&zq*Xyu9=wN3SY9*l-jP`u|7& z=pUi~fyk{1KG+hq`O*8w~AD#%vbv**VuV zOA!i*ue(XcT}Y6sX}Uz*a5?b)>fk>c_}v}7hSUkL*Gz6YteItS?2d+QxD#>ILd>zl!!(`~$7Qd{W$RZ!)tOgXSJpz^Y9hgU~e1#qt7D zWFcvNBu%8Y6_}E@t+XvpRzM0w<8D1f?}A zDqN$&BcS>q)L(tFV~6Ln71r+(gc>L${$Q-y(&9~lrFGL}A ziAbwD1Z+s$?R7!cD4kbET{qqfjDO%^-I@Og2}#qo()C9-a82u-a|@|6=ZLu|iagJx zZoPO1gMOCI6iFz{96LtTso<}SmWYTK;l6oJm|>I27?^BF5m`_IC^jCC?f!3Zr2bjg zwYug<%M-r>&?_!PRSF_ee-@HGsY9m*2DN12ChlljTnaPUId^(`$|h`)B3B!F$krKM zr|{18B~4T7b`I)}#bTkbRgA$58^2*%8BCJ?8C}>O&huQ2f3!jh$pNHOvUQ1dwej{t zEK>@9*y)92~$9h!P-yS%LQgyW??O zk47W)98h~6b+o{%HO`NXB}&2jTn!`fy4h@|wr6Q?MNLeCYGLVyFrsYzyEU)X$FJv%$6U^pQnM6y@_CyCy#>n3uq>=pmhno5C~DbF(zZrj>e5Os`) zHrPJ}AQT3&+muIWaTSxl32k=n|H7^Z~xNI?C}P89+~;@Ej)33K8^vrQr1Kl!!; zES(qQvWDY@>i`+Nn>wVJWe~7QmbtPjnaCp+a+WO?3leh9Wssq`F32&kO^AO0$sf>R zD?%b|_^6elh={-j2PXDi-^~6bKJ8 za_1Z{u0m&EZuQ~?`nQj(oswdG)d^S+fe6dm2crTKjL7W>>$o!$HD0Y0zBY)W5z15+-;gx#E-|5rm10ip+;6&mf`IPW|uh;(cFm^-;1oaDc$bUYw z9Bu%0!i$zW2;I@mybextT<&1 zG#@Rb-MR`i#E^cM?I=zp$94l$Yzhbt-Gb#ST9cYL>ULYF@;?-e{(V9eBt&IdR#i0~ zkB^U!i73zW(P(sjemGrf^0NyYPF+ZUn z*9as){JB%&?thufpe)GqBFnNa2nJCQ@#Q$1vn+FtyceK(=UiD9P1B0VXf#HIAB)vs zRs`8eo@W|umqLanL@gYT_lW4|=ms-GZ~Kd1{9+x(b+lN(C=fNQ#38}{dq=N3VeD{H z2GQ*5Uy!-O~W#+1y#EPZx{UOOfXy4HLU8<6t8TM2lm$Yinnbv4FAATkcStcq;z z)GHz9Sr_+{yA0z_842|<(4#J-9c1lT?Ma-Qt7$__EWu>##)QIk;9%?W15T;v590DKW-elT=I z!ZpMN3LQs8bb5NOlW;s95m8YTS(ZJLP!_WAT9l)bT?L3%TD({+ zCX>G@?J*TsdKk-(n9zJ^s}ZJG3Q^hLVSp|u)!Uq2Af zT0dz;@IEA;3Wm6ih}^t+Q(yY|=bwuR&S>kfi^uo(_nmWxhlg2~Efx!8%c3B^C!@59 zA0$IZ_c9)lz&=rhEBN+B9 z7K@0B!%V>2(JCktz>_FtAti886cGoDtYjeVf7^|mXoRBvkC>n6Vu*GOz#B)N?RWT6oWY0Q=}G$X;%knW#X&fOiovBb$VV2jS{x&{LfN~ZtzR>fg{T1hP) zVa?H_Se#6rEXdllDHPZPyU*8k-8O9A0z@cTmLtrL(ZwM_9))^VP6$BuB2w3NFgeX& znd3c-ix^9LxeP)kxb-;4-jfKs%(tBga3x=d@d-0`j6`SazkWOuBn8&g2WVKNOCZRu z%N)X8eBag4MFDTQuzQd}U<&<%7%Y-$vG%HnggkK}1h@n(g!4$ZY}P)$8>oey%UUE6 z?6?9KVj+5@Etj@K|ITGlsW3Yt592N8piyCFN5o}Wz&xTTi#*Gly4f4;Ef))q+z9Me zt?t)e_88-a`9{iH5>eYW5Wb{U>fQ@XlqLM+5!_ zke#^1HOEd|>_|9hLk^(ts!wzcMZRvkO^g7>iNBk{iVZGi7s>EOfhnO)pZGClyhZBP*K zlOh`k|HFv|pEl>52q7z0@7ZSVyY;@(Q6qCF3@ye|2rcryg}5O|`*M#gXyTb2Wctj` z`&JMe6w-{Ang+R(9Y9d$tLNdzoQW5gbMR$wd0u3B<{amF!9*_0SP)&&5fKdkL&8Le zT3ZV2C9cDVD+)w*c2&$0g@7kzSuSkUvmF_MvD()6k}3f>M9Cx~jkZofR&7s{`FuW^ zOrjTQfekTv6uerIGp*+zuoXUj{Fv6c6r#1A$F7d(r}PoM06euihhQ+d606N-Gd7sM z4M~)p$x)z~Riol)-Y)&vs;crlKRY{X+ZJ4kM*k$EvEemQLL5g(3tLVDErCO}qGIvL+$ty2Mp9bCI3?d|Oy9v(v6t_l;_FQpSnwF){kP1DqM?SdH< zWdGxNarL|crBW;HArK*&eOeP36>P(O#TgI&`cG8QeW1aC3h{nZEKmFCV84Q?J zky+X?0B<7ka@lyVVF9|dUs;xosu441frW)#5Hw#|mKQ|Wph9_J1qb1P%7OYEW;~@0nCuK2hFb$zF+%k z{f)dXJ+ZYh5#@Q&G`0mozgN)p6I zm$rpU_B7&^ZO;n&Yxz);BTkRIfJU8}U)#1K#6+2MB;uWu&hFU}45!+aQbq5JcnYJ* zzRjGg>l&#Nvfv@zIc0a;PKJ+fsWTtX^PHHoJV$(g-v$@GJeM}WqqSyZ-%|x<&kVD( zu6G7zS@A9#{|u3ZCMuUrRVyG4@olVgq!v@qtSHSHn>Vc?x(Sq76oq2w%*6AtueKL> z1rW29scRW;vX8-r1ePuO6=}`AWOe5x7MmM2`>IyR?%PPw(yR z0hHTs*&z95W=%3JA%P+ufklvrOs7*emR+_hU@z3R?Q}Y|+5r6*ZVb-3s;cZ)+tIND zVH-9yYLWCSdQhqN@hfS^0K5TYvwXKL($EM8Gh8)it*TL$XL(*Y$9bOTd69R2x;)S8 zy3X@1&=ny&fWv`GlgUKSZ@dLNDYy$9g-HLQ^G{4b20Stzk7lzu5ve0TBnq^y-re6n zpw0?*6_uYILwQWF)#zjD8u5^+Xuxq?x5~g0 z=y}#1>uRE-?FsJ{5%2&_%r4JYras~R z>M&dT{;nl!8SevM5kDB%57v?*$ipR?AvowsC`2(P_}x;c^v}2p%|Xs}qfDGjUBe6t zJ&dUQMACS1E^C_BWsbxVsatShV^A9j9HKIn)M0~Dg$Z%%TVA;-vj`Q%NLd{OHOB0+ z<{V9fX$Q$%H+h+9KCeyhWzJ=@*^-F!d}Z(ZuE|DRvVpA9tQ?%liEPDNHC^7YqW z>$PPyZL@7hMH7I626C4N;4Pt5lD(5z>O!&V9}fI0Z;*;%N2C39SfH?eY+R4Qq2zH6u8J4r*Dft5CZ`Ve{F z{i~}|MFD17q)9OT0Hh{B5da92nR;~qL`2jxy}kEXJKndUSZDoG*BS=9%a~D?d6s23 z_v^aJb0*4K-yn)T2@|=t3o!{m&@xf?XBQHOeU}M51~($Y48i&uc4y{1&x|pDM^-Kv zoh4+JxicmZWEOh_K~(l{b&Y0>y7mGtc<+hHF?)6*IH2Rk(<{oy+o^ zsk82FG**doPP|C)y3R5O=-)PVwBOTTrItXt zG~ivD*11?LAaag!468((g2bALV5zSb^S#X@6ZMGKV}R=F4%)v}n|;Uyq#x6teajDj_(NXj zTZRb2Q0*vWJlNmgCo}zA$l)bH3!&qfUa+xKQXgMy>ZARmowgsoj!zoW^O}OLgb1f_kOup z)J@Ym$D>i1Wyn15gIrv)tdK=Z6jE7rx`UO}O{6>gf+L`GIuOXl*Uqp^L+>-=&(8Y4 ziwclu6dZ+99B;29@MPt4;aw|1mvk91RTrT=fS%lzxpE;}7c;ZVoR>~rfNheRq zGvut$EJ%V_WV!=Wa3e7vXlGXs)pe)bSS%J+1F$1dYWYKEzHNX_if$DpV=5xROH`6f z4q6QZk6*34Kk_KB^ItE%`R1FbC1Qlu+^LKjwIqoknuY1#eDe)Nb+>NaQa%SUWc+$4 zOw@dEZ~)kvwvddMLY8If@XEoCNagX&e0X^1oSV<*PoF-8G+Nax&N)q&8@KVQ*N!JR1mjMYbI1sm{SUM_xQSK66>yw%l2UVINwVd<2`N44H$8AfL;< z_v7(+I-7;loskX&{zxu_c!$A&Z(A@Ed4}ZZvWngmIFo?yJK4XEweD}vAhZw>Y_`{b z^c^J&sk8M=y$bhjc@F$1&Yg>ki-UuMv|0{EILcRRoh}5QA+wZdef{_B1xb4(=&7`R zox?Vbl!R=!c_>_hHhj38JzYidQo4I>L#=hYFyLVVzU+eJ}3H#hRiPoRNx(a~hMvNv`N zz#Bj|Wl}JV7OcbZcnpO$QJ2PIG#Zb`qb$p-ssbCp>lS<9zv1l;7JP4SFG2viRnbaP zyUGfFadAPN1D{-8UQ(ELFs;M9eE9Go1*ItbxWQO_iGfO=wA-5w^%7!n{zIB_lc>K;Sg-zyS6Q3x921s zm@QzNYIza`-r3e02)-7iKhJY^t0;l#7m0D&)6+{&@knSI@c_ERD3Uf% znS-K3lbNilDW*4F3WNfg2g`tKrkAO zvMj^ty!0OM2d=>Td;2bP`K{X&w3n9`=R{o=g0r(HW==Ytu^o$&82=2h2BXm)5kdYs zogzZ{bAf=jj4W_b)DrQZ5x9}yJYeUrnw4K(UheJfDbIkL`m4RE9yNNfvWb%u6;7|C zw%MOth$u=XU@iqji^cNv=~JyiElD0ddZcyUy?fU-CR$=q8}z0+6_5#V2^3BtG7tWJ z{P^*BJU%))QcRCt6+?ET(5=JvhO9dTTcM#3IksE~kUyDB4i69S+_{rw*~!U??_!H} zkOo3@q~Hbk*3AbN_KN-~NWmp|?tb~@mqc{?_U&G#=*Ep37+Hh~iY9}?8`S{70%Eyb zDoe@6gB(2!t|`m1s;U61V1JQH{b3!XF2WS7DkK=Br46RABUxt5`eUGl7Ug5GY_hZ7 zYL#{jz?(#N3n1bwgRhA%OL+6-qtQ6eb42w~slSosv!2v?mUEwsKfOa6l~zMd-Ma8K zI$=j|8nJ@o6cZc!oUN;4qQqN3#k6`5Cy2b~by?P>lv)@6uQ2QC?(me>XV-7zFjnIP z@!tRCUw%EG&ld|iJzd$k0uz^IS=Y`vUMy=g)q5{q+U|f`nWa(y5Z1hknM0U)m*<+| zYPH70_h!yHHcbs8^EHXS-89G?@X>xEiEW0h1pgrIfc}Y|$ubfW@q#9`ZA(Iq9cLWQ z`%Yet&I_&%o+yU{F#^SAS>`>gpFEKtk0O4p;pVw*}SEvfjM)}13GUV_$@0Ja{uW`ZQR z_C^m<5J>a75myi`}JRV2B1hzdJ4qv;KVX0;zY^9=V zUEO%3W0gb00Kqxv5NsdXNi_rGsHM7zl5MmRY+f&3KzD&wR!KhBV?ht{X!_GoIG zlD6jUq1uiCcmrsCXtDO-q02>46h+y#zAUTJXfzs)s;Y$SKg)7XB71PBm!!SDeO)u) zM|BbEORYnaUCeAaer1}qj9M=0vsi5ENkgj*=;ij?j$Rcd7SgMImP4AV@UPXgcTW?M zf<;s7n#fS_AQr7OOEg+7f>4nT6P{17_93a!qP0{W+?oZDBCldheUY zfByOTV$l-Ga#`c#21?NbE6?*Rb4}yhwr(0~>Lzns!xWy$w;mz0fKAb{_?+P9z~U*0 zkurRjIuz*& zziNlX@$YOlTPzkZhGFK>Xym=WdGqGk*_kbzBFpFw zZU!A%#>~^{^y1>;z4zXO99_2pU6qyxu)BdeysA?&xED2*ArlUWjMf6&e()GvFtY|8 zC8GI!P63S^9UV1Ib8&IO0s5;X9vl=j73vtUm9#t0Rn=e_Kf7_E&8i_GqRY!mWh|Sf zIX^$QlK3v7K$fY6VJBq>J^(8FS0*8vB-?}a^eHP30(I%h0#n*wGDZmuOF9doI_v(B5M|+wMiZ~{`7P{oz{y*JD+!3Fbr0+%w<__ zyxBN#M0uXKi$#!@3BWM5O#>A-J8qgL&k9~e*dXsaGrX>JV0G|DV0ba6x)$ZD49}j> z)R)=U#tRBHI|cFf+1?5b?(dWm+It+5iFWM~23J5K46&?It*Hq_>%Gr1)kxqXXYTT( zAw!u81eoo5JoEGHr~;*P=uWdr@~0opA$b{c z_lgK22w8z6%!;D^*-Un`QnrMQ1mw#vzx?>)k1cRg=0`#hRS{{L1|ADUgn%pDCv3I# zL>r@J9k*O+FC_}xFesdVB!Vp2oo!iB6r<6oC~{_36ggHS zmM+Zt@wkYzUcvvafbS;orU~c{V=Rend;qdT~h+w~K-I#)S(h*;hZB2CkZ$aFdr!5KqmXO|RaH3DJ=5r)^} zY=2+Ve9~fpGGfm-d*lWCAF+l&xTx!TKA%5)_~_1^BiP)h;;|63Qg>z!Dgx^f+eMS4 zkl%W_T-gp?UM`Cdt*$yeJ3HwiB!;@AnyS4e{D52qKL{8m!`=vZ2H1(OR>1B)sw`qyXy zy+@t?X|;&<@QW@a_-ksvL(~^c9ayZQNl{-6Ix?>rxks^0q-7yapeMON$R`1qJ8tLr5Z zEtmcAxhIoN$#GvFy3)%qA~#^`Z0oUWGa{?h8miXX#)!zp#f2VfVb2*v{~!pbvGrlv z*aBaD^;IwWw`JD1m$iHXAjGawl%}6=*C`~s=jZ1{1YH4U=H0t@m&@he-ri!d(ET}T z5|#{>gWAMPh%1j5-M@byz}K&WjEUl1U34~-rvxh?GRg$3TuAP*ei2Y#6#}+xko}7Y z{+&*zwxetZf`!mk5AA{S3@*6vqU6EB0k{QPM;BJR0+^oX`FK2r`T`-vtfr!An%Qgy z+aC3uAfnl9=1k5q32w^D5!uekx-_g^iU4H~oO3FPh=%N+{j-0j*Y-ZV8Z4m`tO*&) zW42i1H{1EPPJ6v$0Nx1d1`IL3G4;!`7>_4Kk#|A;vW!D8L1v!KW=N7p;VkSui8pMu zn_6=m4%jwCjvQya^z;s@ z#T{=_`6!x?*oFwu*q`)HxZnLZdTI1jK=!K~Np(#ywo!4fm{2fKCcps9IY*RxzbuMk zx%5G!QiPNvq|!|?|C$>{jk=YRX-|z}tC?`-= z72uZzaJ|!>0*l-GE^V-ykwiev8kwX|5m8YTbzN6g6)^xqhb$-Nd@7p@4z>sxych2`d%v-ou6u7$LI%DNCP z6QxwX#p~un`c#DDqw_DS+@5?Kj0D)Q6P7&?5s2ub4N7HQHatj{WzYZ+L0#aAq6|^q z*JP_W<24B5-rhckNQK%G#fvYG>U!?I5OvuScCn5*VcrN<@(K z#@@G6dP8k?DG|}rr%!EF_9y&nrMdWCz-ypYtQ6=apdV1|PV49UWHRyI-?(vOG#Y*L z%{LPKmCw)5>$?8vqmMYqxxoOendC8pn^G~n{Y=XMM7|ja5(v>d8p+H^)(fr!i+!tiwKe#JLkUm;tS{{4h|0P+_}T+T*PL*+0b0VedT|mU(r!^hHOJS2H?#gOg82& zKS(hCDO7o9&s|F*Qr9&Wd2fN}EibCUJDk6xK#|nHXO4kAfV?){zA-C-OVx%vat0V8 zg^uC9J?MYxqk-dMNUM zOpE%^Pg<;(0gw>#j}0^9oUVfLVO@p_C=9HUuw9NHDMkF#)h}Z zHua*3v&@M&L^RsbHlzj^))Iq;(Hvq30#vRZN4SpfMH+}aTOvY98#bTw=}!uRALe$Qb% z))3_Ygt0hw+bUZ*G_&A=mV z^mf{0dZD?hI|YAhww;`l^;!kQC`Wd7^sSzCw86dv>|N*Q=U#v?$f{H_biu2z(V=f@>HDmzoz~9Br7LRRguV9HrbeI@K^np1W7YE?O}N98MR? zurJ-x%;47%y5e!7)P)L&iZ0&Ujbkmw#vsWoEB(5@zi;DKAtEBea|S~dOx3G>7J*r@ zT2A2)dG@(ITb(*wdrlq1(`~ zVUp_1Cm+8>_;dBr1OpbEsva_YRZ`S`^x{sAO0Km z=jyn*y{-2@>FOKP_6?6(t%P@vUAWn>{A2YEC`qBEu2&_A!fkEn8|9bi3}DN|piEpc z-uKlbSI`iN&#u>R_HA06VkH?Tc?*&j#>OB=N9{W7w(tIK8@*|4VvTBGg%X9#xx2R6 zfz3pW#8f!N6#6~>&UIrQ;gwpeB(1mNIR8DRT$sPOxWLmNE@R%iq~r16P>6Pl>X@BF zx7-r8mF+)c0~OrA0kJp zH{Hro5H;EVi=dJ)qM_n03Am+rpzEQUL)_RP<+m?Wm}^=68_c0c5yubea@R@GM7&hp zcr1xO!A#~qQp}bWf_tu(6S(_zGW|M5{SL~)+_JKwa5*tCadUH1Q8Du${MgerH*jNE=7Ou`;Br%erl*I$C#T{@J!kHc-vft-4VBFtcYDGU3FzjAz*uuEUt-yI zI|Myb!-Mpn2Gj{Q4rd84m~fmgI8w*0)YA(srL31^-q&t~X1esc^6@4|>}jh6k~hxJLY=3zjx8IC_RrCvBwZb}^;kpOHp=>`+I2WqR9NWt8!K zwWb`#_>Y>RHxjRNE!5uywZ9-CV~TKw{bJ5H-pk{Iv-3VkYqPeoV2>0c3sa!g3Dv3{ zOPoQxGq?A7Hv3)Gz$Bj3g9?$7@+2II(6=&N#@yzkM+l@2* zc-mdNTRaJN-7nsRXI+Ux8UtF;=|&d=Jul~HjoOpS9?deT~1b zPui$~Wbx5|Q{w2QcWfGsyn^$wr7JxA&t>t)Ls{5m5asG3Hz1e$t(znCagc}(4bpB| z%t8HWKfPwz!;q6kHJ)Qseg}h41_auQAj4gB$=;(DF+L(EJCJbX-0++XL|DP!MmnqTsZz*m*D*u_b-PDa@l!1{ow5^WT9+3?1IZ{?5*~MV7If&F~ zme(=D!a^uO83u!q#trffG88#)GFBn8@fLHW*vXJn00qH9%Bd$lkHz=&*7x+~`LV_K>US8WuT{`rTe`YGlrhpeDdL7Ng58&b z0JzmSDN<-W9en?q*?pghUvyVmS{l#tX$sK_(li0L+Tj+LuB@cg)a-Yys9T0kKWX?rK3k(lEr@h?>*HnvdYra&?kKQe-%o?4u9r&2( z))ijb0g_rnH3aTWEHUSck7Fx;-7E_3`kM)BJk4$v96~HfTLyrm@7~(V_j-LVX2o@t z29*4u*XHYtIRj3Xx4v%IX1&^wZD`(*@XL_Ky}z3MH>zwH+y8dn^ErY#WO(|$o^5Td zdMU@!Ck{IcY#VbVecXdKLHZ^VKEqnlowkGpwQ=u0cP}Ctt^_Pt$1Od+*Bf;X zZtx-a?fypQIvF9vFbIT070!e96X#qlcSilQO~!E+qLTk_LKMg6PZ4cz<-oZP-TNI3 z-m*DF9hghs-#;EC$KHmHtH^sqvzXu8fmR(Dop!TJm2+>}Q#mh$e-{rGNL?=#NM`CZ?oO zgZ8hA%y{TPr;9k<1Y=>g&k?@35v(Q^BORJBh!jf@p^kvrId8|;x z1Kg+9lS2_F%gBs9V*JOk;Mr=%k==&B$BF~3ibq+tD;cy7E1}^|CdwbCBeG3Rba^6l z(7EzUErPeN85MEc$f=@EPoz8v4_$Ul%mM<KsnU}-_G1j8o(%Bn6UC(7)^iwJwBW$qiNa-kU;Toco&+_*!PonkVEL* zZzZ;BF#MmjS{n@MgF{m}e{o?anJ;e-#wEjo<>Id2&t!eY6C&Oeh<>PU4ZUXU8Cv=L zX8Nz2Id;*b%>zOFv*@eEzu{jJ;k)tfw@abPhSi}Le!(@vxIDUOrGNcku}Ur2PtlpT zuC`wH`YQ5CQMjt69h*|57(5>@+v{mNThi6zGL7~dX#Is{j~d6CAv81DIO}~^mdSAF zcp`)LU1?F_3>*@)UB#gWEe}@o*c~E&Z&1;=g!$oo=sMR7WuS>5-)AlCgZ0+2PG zJ?TDz_}(uGzbK#K`~=^8Kyi(x#+6@a$#$Y3KEhQ;_+bjm^<9f1**r>|l23R%)IBGe za+!{vAdFEl_1iUGHJ4M{DoVb3DG&Y;uj_OL$~0JdvDt$qJ7I`3h`v5uHjV$-k0G%p zGA+7~TPR;s^@P#+6$DAgM)ONBYNhp2}M=W!xNqLp}bLLiZd5V z!r9<~q&@R^?%eaI$Qs@tn7`%$XnN#uti49{7NW5-)9B2{F1J%)p;_W^8enIfXqE*x zuv(U!yA!}KzL3t>RxVC_BTKB~4vy?({nUZmc|5r>t)~DV^V?DP9xk}-buAsfw={f0 z0c6rKj)36F;klt;_6E;0kY3y@a6QBAd_k-x8x0GJzq^`6 zW~2`(LV~*lmL8ILz9`H^TGwj_4|cf!23B*9ywn$}#&>U#Tq9aQ%S^ACbrnf=Qlw7{ z#y8U6Y$eA(3t$?SpOpjXZ36U%n9lW!&2#RjsD+OM^{09)}u59_yGgGcRx2BRw| zj#f}58hK6*@Z~>fY2!ZW2>BK7-t6^KXr}GM9xL(Hm(npF&Q5a7)dd*N2Dz@5n zDy9yvY5}$rpz)7?w<#Idp7*m)od#qpGu_Q%AoqQVWJOR?Z#~xa>bupYe&hbCuIY-; zXTPnbC^3%OW^3t6)9X`>(LkmTyKZqP6VzZ_gZn>$uj0Sh-^#?rzqYc9_TE3-iazgueFFxqX8VCq=BUEHl4Vfe)_7C zQjBuvM?H!mk=WSS2nc49k*`|%Upx%#$ThxeUSs_I)3kna;AXJ=GbuC)jw2W#FKof9 zoF=atL>thNA^m7_p3Ro`!>BB!ikuFADUk4OXe@li<$L1s+`xbi@LM>7p zEob?NusFFjUzSpthF;{_5UOn)8~_}m`}yXp>g-{~Eig@9|M1wB5?lAWwMSgQ6E_OD zlbUH+_uAlvh?RkN{HOc2$q}R-(e}uUeKa(q23932PM|pNA=^tIQ@I3(Uh-wBFSa^( zQLQB7k-0Ip2rMPR4884I{HO#?dUS#eSa6bzxtcI7Q7y3}85+{vpn2>v6fsnlYic_? zwkx||M7CpP)MG{-u#{_H)cFtx# z)90j#$;nx6m9y)ltC!rDgIvSgw^UxCLzL%`P}=?Jj7T8!>KLbN&N-&^yEXckUN4%N zPS6{}R_8%Idw@E2cD~w8H4@pI8`!S1zg?Himk~#NnwFvDy8Qi{y802(5oErRqd&w{ z;-jN)$$duT)}Uk84`37xwoNrtdzFiYIYkBS?>VKKSu*iMdV|^cUlPu4A9#e zpbX)cXh3)nRW*8m2Y3z7fhLpxG97b^lCj}I(04j?*!~@&yo)Ud`(dqX5sJ#4;C}i=ivu*4 zeI-1C0VF9sl&;x;I%^gatVRCnNrNO_g~s5@?8z}39R`Vyp<3t6Qz*30jM#d}1E{*9 z?f6vKOCjkeDQUiQv4&`E8Wz!zxC%_6psk#w2>E>NS>6P%p3qKp=yg$f>Y0Ov#>4EN zH??LrP5#b}6*!q}I~c$Jduv!^)=)>F$^7 z#YJX61My+eJ5);GC6npb!0EC}XkTyXEwvHRS5VW4_2|`R?_0J+a|N(e0*~7wwW+`C z(4yXAjP43m7@XVr@v%6|@A)-MFZbHlqb5k*(tV@oW4iSuGc(YzolYNq2*bP`Nr%rV z2Ng)=y`?&&wOM}zh!rdK-aFAz?mH%g&PdrD0*QiEq_<>-dVAb^4GXQdV<;e%WCMpFwup5Q4_>tH73zK zqZfefx9ca|KXcJov;me^o(r|u@DRWH!JqLC=&cdH&)x5lIz8~RZkyX_j{Usrk%r%S z^}()0B6Uy}bwm9an^fQV*hz0A-=fRa8!VGQ1&r#Xoc)|V>jHsp(0xjxe;Nm_+{qIQ zgs&GjII}fi5W=C)-Pson4S<&e~qk!in& zo=w~&aB>DognUZ~%r1Bm$<@C(ZtE42tvP-sHgGvl52S63T&yQ88tmeJ5OKwm2QsqQJ9!eN^h&q1aT~AQ{mdZ0|mOieft)+ z?teBZKVt23M1@FXm;Rqzd;k$2q%MSsDMR_TED5y^d2U4WBv5P$A{~U+O#FRu*-nZ6 z2^aOH2m%|L*}h&KUss^2XESJ>B#~(B*@Z0 zy^qgWMbF*Y+4*RJttxQ9q+XjfvfzV|&>X^;ozFe%BKg45ycUc-gup-0x-%qw@3QT1 zO8x#-7sCxM^FT_lCAjjE*$|443pJ=ltS)3 zy@KHw+W~(0JaV>5@8PDUE1*{w`uah9jejzltl}{@frnGT%=<3!~$R>v?h>U~Xmy;A2#&SRi)t(b*_4q)I5`qEOl=4N4 zgRiP-pJDwewGA=BsCb#>e|m<+B!JvIA`QLP@^!ZgZqT{enJT56NnmF150ieTXf?IMh} zVnbUBECLZhL6%XxENKT4N`vIgBO*yNZ5o!BxXlt!q+U&R|6uIl_Mot(o!;`VxL3EI=bD>XbCV$ykWH3saNV@3JjZA3`tr;KAsVy|4voe z#GQt%(jM>odh6E>(c9GSgs&HkxtPQ%cH68TIgyjVSb7VFxCiM#ML9-JgS?(f9mrsY%`u>gk`p?2=*|vn@@!Zb_E_c84pV`?*4OEjL=Exk#Lf{ zX4x+>^Vr7G{^~el!?mS&k~s!*i6iLMN%oHl#TNw^#~F&~d@O=Vg0 z*jB|jQ%2L3_smYfX`iqQ6Q0KM=J=J5WBNIKFRh z3+y?#ykDh%k!2{mA|9H-+CSYF%uhNkW<%n%evglezaoEMBWv8(NLnuQo4&!7YT2(% zEu&+gz$F%bHX%x8z-EqQ}(`=@QvLU^!-_cgIuVlm}`;ahP+KRkN?jES=ly`k2m3i}_RZI~E5CF8 zqg|O3PdQTm-*-)4KU=x$*Z6S?6Gco@I56H|R09^j+MFVE$U544bAk!4@vYo3`MNNA z`yz(iWU@II;4$ub4`SvN6Eh=vH=YCZ99Z7vPsVOlfA?Zbd0bJlpfEvnBwj3qa*!+L%4ye6(Y$(^!qOY z0v{IPAxNYM_j5oNucG1(nB-g{R(HdKod!g24ja;K+Pk7vG+~%_4Zr@rJ%ca``7_eat~c_)#e0N2BwbS}hp}c$S=Xn^OfSgy9oC*K`vWEH5bdqCDQ-Ud zql3TzD!lxy+0y&G)`FwDh=*gIvJ}^*LKf?wslk+X`)csj+3&<_qHA@Ng|!U%aYEb! z2ra3vbZ2TjtHSWb%%*nQax(L~5+oB7n+*d>ok} ziQJ;F^tW8ys)q!5$~uKqomL{beZ}z6@VGk4{#Vc&lU7?ObHf)iPxB>RyRzu-!Yzj3 zXYY}n;w=GbTYPwIY%Gqj=6kd_3gLntxFysRGE-Bg+c3YoFldi+=JLDjX+9M8zuM0z z%-(Xdrf^*}4Qg{<$>*0wFT2WDixtcfLv7LNzPD~H zxXh72bn1Ji0TjZ|Xvh?zzO107PC#Q0_(y)Y+DiWU-s%4XdpJzvRY%Y+xvBW^1E%tF z{^Lfm1Vm;-c=?$S@9RO<&2cZv>)d?*FEU$_G2*&BoLqFC;PsxZ%D0K>DWjfk>P}($O_^6TD-9LF(39ek?Zx@WsB@HxH-~1mf0i9tTUszEnE#y;BY~A|CM*@V``WS z!`EHFF~#bfW@%r5eM+9bBe6$g`RXlwBfmK*&p>bkQViHrMvG&n1I`1n#dK0|I+(FW zFQdb&X;p(Lryg=H?b5++W=vK4v9SJJa~)lAcd(WO7mfpUlf3DQp}zkAMR~XDzdkb* z0BJ7#-~gFjCWQu--~ufOgAY4b~zX~Zu)@pwSi z4CXt3-onigyC?r)GlbjB_8Py7#9S+{x-L()3m2SgBPgPFAZvG?=`;ZOG$Xo-`7lsu7m2=+?QFu3P_{j&jlRxYrSZsh7KbK-atz# ztAeTTfK~u);nlc_RmxKF^f~Dt>>_USWK0*k-rCfFrWq6*Yc@{2X#+fk30FT=)iVv0 zrnzHBj{P5F4e=o#vt8<|NS|t-^BbO6j&|Z55nq1}uYa^``+Jpd9NHxD>qx+sd(k%e zL+X1)Q*RXSoKy%5N6tX9dt-m(A}7m9QEhfaSBvcH8n0A>;9mcBiQ5F4+sR0S5~T`$ z$aSFxDQOf%XqFL;6~$VsCnB)-Z-o4W<->0-(A~^vfOd+Q)C-uGA}&CQQC1p$u3$v6 z(XHY2Gy}hsnSyx~&oD=RF>=$scrG(8(~8>JWW7kBb0QqwWq4aSN%6 z{Rs@!1Rx2UFHy9r-H)x-a>x7T-?b5AcC{_V69m4=q_mVTfz!DfyZCi1RTAS&MY6iUA-xz2H^gPY0H-t{yudC(COB} zrXUWv%C~jQAy*st&!rZkBcIapi5?B5@FsBPNJw4>bIv(;{EtOV7+kL!hFx7|c}aq# zuHi`LG~zOW)U5$-q(}vXMXQ;X2RpWE8je*=I$^mWffhd(kgb-u1Gxv z4SueCy4h%Q_)2MHQ^s|<+57dG4?8}O4n7oI7Wtkq) z-k#d%C)&%mdY#blVN6?}p_05~ z0E!^>-$XsmJ9Ip}J^hI`T`u$V#)WHUs#Igu`KVB}aN{^g)P)!FlP)!BB=ejR4TadW zXf#?itI?;5{@BdQ1|qCa7IkjkWhk zVfqiYNA*5k{%a~2P!b9j8(a7%ui{NRuk7v?_mmP!DS-jZs}_F$U(k)rMExyyrs5Zf z_x7)te`%O;ef6lHLhb9z4_`MoH~*=P`En-#v(#+MNolUHytr~?8j3Y56-#}OdZ;@0 z_%IRqQ`2AUy28bDKFOX`@s@}9-S)<=zDx=VifHM1 zcYR#0JU`fj@xvr%E(Del{$;MF&6+SObSQ*Q4vE9)7wF^z+1^EqbwnE^lXbKoz0q{& zwZq>SOL%}aEE*`0-!^vUO?O8CtC^L{jGFG4#|QDNbE@Ar65tE#+J zi-c;@UzrmaP`lSV+)jV@g)Pj`Cr2$`7w|Wm&GHV(i-Z3mU`ol-QbXIg$ka;oBC081=njXZLiYx8GqmxyrfJ^)+ z$L*A}z~7!)U%6>;6O*(gvOGK`$i+ARiU4abw9GS`aSL+u^_2$ew8)!N{@AfknB3zb zvwNtTn6qkMGO`vNex5RGcyH%E@aJ?byF-v9FNv*96|HV2bU?H!|5cW`GbY}hrCu$E z2wxw0B_(Baz+2>PenrJXwMVm@0xih`qL?_*dt5F{=ElJYAhXFBo(=>wk*!<8JFnrP z!^eRWbzbP1OZRx(MmDWrnT#~M-g2F8sgow(O&vWdLk6g+U$djA3EYRXcTG9DF7Mxs zaXxFEcR#0yRN;#`miI{9-(61RR{^XxFD_{RKao^R|wPywsnKny&A)InBXWaE?Mtk}2H2&=ZL(FULmRtJwXfMMw& zA0@#e%~xulV+EkMy|;_h^Qlf4!iecRgUnKIIXqG%)81gL-6NW%J3xVO0XK2)Vmp6f zS=Hb#0fJXyxKbc*J&j=X8Jp(T!WBkNymFcVd#29sKF;mvvX93!6@9#kIx^mhe}BN7 z4Dqgi;`7HhXuWlTpw%^@;NIWB9FhZ&1i!Fp0Q(%l*bG8quogfTsaxt3V*YU^rIex2 zhvwz^U;60Piw)h>P@0~`Jb)NDRs_>|oI|m1Dwde`uCwD>;IGpys zS66dhetQ$yuvUjY!wnMK19^_o8L-s$u-Q*>vIxIv3h?evMGO|r)mq={N?--rK3S98 zw2-)5-IsS&vczewwa@GLpU&DH8{Kpb<*YFe$ihc%*Zq7OEEB6ros>S6WILKC0;f}D z@%-w{fxYyEJpbaI7u%%xJHlxHMOR+00NVjx=;JpqcOJ{T_U=Odz~hCpjOa~&XTR!j zl z=UO1J7M+y$m=tbN14-!`s&K>PhsG9o-#Xs}CAP6*<9^FpeukJy3r7>UW-6I_9ZR_z zpu@=fQlZ6QqtL3j;hx2)1 z{DC7$pz`OlEpAG%!xsM=d^#?KA;MsfNLQ z07tMPe{iGX6R4QY#;Y{nMjN#KCpp16YsGr+yn=uK@36p%a=0r=bxsJWBcc;mk2E+(mCggL?bT1vR>Cm6=lP{I0HsD~n^1)BmpJ zh^4?Q3;c?2^~1D8!BQ^0lY34v7XC?V_{SVf3Q1NHa2i$6_vITkl~$z9eprgl@gW_J= zWwNQ%!!Jzlw1TTNFv5&Q@RRV?-Cp3?M?3FWN3+rM;X2-#v=yK>Pib&sUblyEcn;~% zi$4F{w|L`!EERc5Q$>lH^1{?RMHz`6a=MRn^u~j2w2vGrbP+(SU2TUQ3Ri7sLW9Lj z^;B;0ARtPU>5>^8@!eW(xU*Rf?O2W|;DEZpMVjh*L?f|=%4@F=TeQ>XvBe4N_jjra zwT5g~5J^vItA`{~k*|lx{m$^)HOd(i_cb$ak5lNaY7Y*zQb!Gq+K!=Ydpcl~0D?pu zOu8_I?=P%IV|^s8O926>89Z;A7iL$c`Lef&44Ifkt3G@7C~J5a#q2|8CAJ8zu+IY^ zTM*m>5`2V=`7#Nl@?V_DwovluAfybK^(dAmJ2on=l3eh2HTo%8vR1A_eQwgzXkpVE ztM{Cr#hJ`bd{jQFAwCA!s=~#5&}tbQ7>Ev^m|!oO)pvu4`L0$lV`1M)7k*F2#`*=a z?F8po=KC^_MoI|fHjw?s1SfIxk;XbjHdi8K`udE%y!5`jz~4pUl=%{HD`UH`)Pcvk zgeL31)#njLg*dIYL~DK6%P1MnIzs9Dcy8Fw^A*NxuCeQ}hqTId8PL&KBDnI+OX)~P z${p%9|J$sJfKa$DrrMUj@Vxl{X{;mFMncyZbwN_RVd>A9heE1Z=$8@Uap+&hWo& zfm$YmP_ZwBTJPP&J#uJjTf)7c&IiZrCVgOioG&UwUohxQVy#KzBbIIUJW=U%TclKg z8KHA=3#a4K?%gVp#PrvD@=mT|!*W{=sgC`Wf3P^w7P#DC(FL}k{b@{MPPAwJlSZ=Z z__hQf=&@G8xB11;iwU`YllZ zEH5(5C-GhRhHMti<;l!RIA#c({_1(v`^ZA=Tl#80OPwccF_emx+&y`8Vw~2{a19Q3b}Xg(`F=ZDz?u z3uDop{*-_R7ZAT62lf~u#)|d8MM(~+5Jr7O{)C8`FNRW5#u2cFGd~i(z_u64h)kF= zyJmfpn|mCNF}!}9>pI%Pn>!h?c@e_e7A-`ueJ;Nukjrr(Fvq)ai^!dmJZCg+kVJ^S zG!+&82UXi=+`EhR`@Od~c=jMGyz3U~wbC-Y;~yUHklCImfY}J!5dBYu8LJ(3W-aa_gAXO#2C=QdH#r%rtzl@X#{5hI#7Q{Y%AEW$Ksq?(E3+; z98?@GryL>(>;pf@sQ{f5EDd6LFr8k#~ z;_8X7$$lfe^AQmC;ryoI`TAfmO^yNYoUfrF&IJMi4q`ysN8(w}#XoZ*QCqvq+7aN% zprB6wJ*>;|=hpXrZQD;Z$MP%G)moo~w~;W($55`$AbRdNCNY~ysSQ;l4L$Gi!tunV zmXiA$f%Oz3ximR&=@8y)+iA5W{Xs7}*RVC~2kFo4xL5XFq$qP~235p|o$BJFd@isy zfg)nKYoBxsVY~o!=*Q2E!qg_Nm8p*n@%WYuSf6kMpt*o)Op;bg#Y~52bK}PWI_`bl zQn^}O6$au(!PGAVOgMq<*lV~WAdLTQ6ijit zi|QF>EyEGd+F05zK2zjZVjgZqEUS1A@fhIeV;uNQ%F4T;@4o*w^zYL16nFZ=o|cgh zfpE@{|hq&E;LVRF*o zoc27?cJKX1U%DU2qmKOa^BOty=|Fc+48mc!P4*Z{Twfwz=g3jT5Wu*4M8uHHBj`j92T}& zdrr8l_YNY?M?8l|UW3cNC<@7Da#TjCDMh>%N8h;a)T*TI&Z(Ra2@l3M!?`13S6$yB zo*%jHaP=C!Obons9)_jE-NI?$mL3zoAXoaspIoo*Yap0H^MvNCKG2=?A0gjLzT-uH z!2gj{R$+A+t@$Q>n6eoasr(ffzGf`!O7@+2ADh|x0J8whrryR|cGFxhFc+sXEJy^f zE$|ALQ;K;1H|mSqE0RKj4qu#CxTzQJ@cK{agWKkEM97_>vJuMZ%$z@NrL2=ORH0;^uJBsdoKK$yAhmV;!@QRHc)R+ADj?cW}?eH!S8n_m>SEGWS`B*kfd$_V;VSSc4c8=@CdtV^o- zR4#6J>{Bi7U{kg*G-qjb%!+6{4samOB-r_W@=M<_i4Hs#^%^md#@g^6Zoe@>VM)QX zIfr)?;HSf z!Zc@%#LpMtWH)e^hpSV1A2{;bn%_y^Cnh=p27jR4Ca0w2SJcCo$^oEIqS=F_WvZB3|7jmpBCm&#SQ^p9QFa&B!ghhU8N-(?qoDx~H22&7g$ap6Z$khe0=ahtOR~^| zSYyccaVz$~cykwyR)xP?(Nz$ociv*Sd*2x7-?zZ7jYI}Z28Pnv0|oG(%aEbGu`V}d zhJqFdRBIe>N#%=le}$4RHj^O5$fb(Ivm(za^c4tf8xO7Bo=_;Bwa1k+{wfZa{ovMW z({*P;F#GU)>-TOxG^$it*>NAd;q`dq18vd8wUx1l_X&>{2TQ1H$IF8O?>aBZE;Uo_ zfb!-rd~zLUwo|-I?;q4DLXLr2MaeOoc)^4g2!aTw!*pypxB&96AXz2h!NyVIUK)0N>Y%y6~F%m-6qKS?V71)Jmwf47r zbnpZL-f~2C4=CrYB`~f4o}F+)>F2yG&VnQGORZ$n_!rA=d@SG1;O>V*mTTGt<(>nK z^}C%NFt~0$D?2;CZ~7jXt6t#vFj%;S@+y=?pVhmkzd5_Vp%l!We2)hA?t2R)vm{_0 zXtsfv;C-6!N06<{FWuNZpvdtUUb-gW8T!YO4mSX?ZoPBGnoiKn@a0(lvhDqLKi z>H>X9GH&K-F{#q$tTf0`>Zrh|P+cH!G9cbz(UEU<-1bMu(;Vv)@o@R0Xx78yM66|G zM`7#Iu{K&2NFo$Do!=AXWG@JM1~^~-`J#~w=Fa7y5EY5>g?=0AB(iejJm2)E_>lS*utcq;OmDMbxxC)|%j$&=RXP@zsfwsi*BQ>X~aYJP{ zOj2Pe`?=g~q>ScjF1sMH3O>@>mWcVGs=_jUTJ1Hk908*&8LMAcTk`_u=7<#0S0j~s zAm{D~6hLm_PVr9_5lz+Is>taK19Dw$ovZ%EKxP@Py$D1vyD^nVMAiYI9i`+z}|?7#FYN@z>w zVsg{9W@H)H2!I#=^YA`d_$b6~0D*69UjJlF)bT@X zN=T?%w8sLWhKDG!E;r_vooHYN7l!27DQ{Dok4x{#oX){*&rmx6P6VFt?@YSQ2}GG$Q_#v3waq3r;HEx2H!ZnQwo_lAej z>=&+q^QXl6i)j2_o6D0%sQ{_tcy;M!gwj_pH84PT8x|Rz3-vsY_;|}KQtNaZ!pKh7 zI%14#*Ct7C?JaH$eL?qZ@Azp)5uo;=e9NlV*n zE`?C9m?9-+@5_-@me`S^$msn*EV-hmKIBR|TnH}J!3g-Wjj#4%uQwa`9%_M!_)1^m zz8l}+eg!uuMPgm+ikGIe!pDX>9=ZZYkhrSaq+wmuN;eTwL&#n!NK5YXILk94$_KhW4YP2a2$5$2Z`zN22YZ>dlB=Tz5Cn}i zG+YdT)M$-l>=(y$r);5~kGDI+!!e|TQVAS{pY}eCUK}{T(K7=`Q(lB)#|cIHMAlJ& zB6RjbE~+E#pZXG)hDLT=Bt@&iw9@G>+2YKnbY`)bORm$9Dflox;-5OI3(hE^`_7=O zBvr%;6n~G$oAJRom`IF35b5gCFMDx=LJ0p7x?!3 z1qx)@{Ww0HNqYz$`nUhe2gUZcfZD~9O`h}tCLoi9p&}AYhGKee<~`#W$_}Z{rL%@8 z1F2q;nXyP|X)atoE9Lnb4I1XZWlxH``|FzmQmZaj^c!flMEzLn%~kZaG5&81J2Efv z9&XjxPm3(BAZk4q1N2mNV;py!?7^dY)gL#&?zF0+{}Q^-oFw$ybLHT#LIkN1jAY^8 z^8Su`w8ZQ`X;_7oH~buHAoOs%{^i-I73ycBG-keUR>C61r#YZgmNjN_q|iR^i!ZO)A+y?>>C~mQqEI*PxU}DjlhroT)d8Cm{3o zzVGi4uY&Clvu%)-zD(7LD!tZ6WFk*j$>n*Q%*3<)g*nJJ4sk38sFIEcb($RSTcc&q zLZl|smEI%YGS`t8`5CTV&SKvbL6Y7VNPgAvkou^1q~jXRj*q{6v5aoaj)K|`)GC}wM;=4aRUuPU8#c{l^CZ}uP z2|f6!>;}1_IDW_@fO(25-(&-jVYH-t7iY5rJSAoo#tT-tyE^aOxGKuAam6hW_9$qm z3{B)8mZTbc6iO>sV*};D@qnd!kJ2_^Q;|)i%JlPOH)`0IhH3zH>Epu$`ad3s8vrhd z-p;SCg0Bw;1|EkjmYS1y0iIg;{D3M5zR@MSN9aU*gaBGTS^kQ8J3XV0!-Jj?w!;^L z!YxKGS8c46#y;p&kZjB0mW1EL>t}G*_EKU@P0frliSoIM^lL0czBVB(D3L0N&JK+Ze0$oe|H84sml_VIglDyY(r7Qro*G{r+q1-9kF--s+cbIAaLOOvCoCr^aIR@7&-aAN zc!%gS^O02Ab*G^@lfofFp1i+g;Xg|wJp^a-K9WOJp%mv z>>1G^P6G{(A|HHDq#xG%zFe>RCqxC_j+(X;zA1tj(%fN5;R0Je#PCLL-8HsU3`|n+ygR(^9rTq<+IpOd&lGQ=6+hL#b}QNMIy20 zWDa*L=eBPrwtP(xC_kQs)!+DG?9i`MpSz{-xepu}M)pZx=$^MbH7-V8;}7AE3`DZF zIIo4BaavYGU`pS$SSH;bBlkGn*A+2LhF<2inB_r$fkVaepMMBPX+n`U|@61I`g5430>D8E%}E# zbZ6&okLw6%(4EEtJDrtoPcmQ_MC7Br7=OIKmfHh5gh1M)L(^JBs=;X>lx_l7IKW35 zUM+%~ICTf5D+WFuV(P13JJE)1Fe#oo)6&#l+t`q+dbn;x?VY+vPBs{}#1pd0f)D&Q zvK^?nLA#|I(Ta+IYe`T0cJuGAwui zH|$%~QXsJTmE};agl01215^P}Xl6}d#YbsRW0Dt(0z|wl;$ZLu(Y&)3sTpd9XioRe z%UUPmw;b33O%~{kXc{a;6xbgt^HzZ|)|pt zRkPdkhw{d3MvBQsC<-M74CNyN6emdOirdi1z>q+s_h_ zC8=s(5{K_#GuG6xZZhn{Fl<>BTy}uIAv=z6zs? zOcfrW`2w@VrY%6Kx&*#n7*{J`P5f5S3)ut2`PTNt{B($|25@ZBFp3 z#Q7m-jkB_Gy}(qX_q5sFRtknGVL^IsQ(awkQDAuqFs@ct27ZnF()d91a5>8~d$cH+ zE*@{+Lo@WhMl6NnF7Nno)9Tnj#pdgrB=L)CCS&QS!D6>}#-@Z1qL>7LdeRI*R)Ev6 zCU3h%r}PT5&Y)k8Ty)wUY}a$e^b23n(#Y79=4VjU#HZyC$y;AXIkO+B_R3RmF{n`ZI^3o6J|921^mQc@)Rt7mEZBhwEkMK66M%DPAB19Hadj~ zt5l%yVV5C%$o`;^aOoVi*>Xz&=?)-j)`($8vMdUaoEW5#)aXLlOvo4Y4+6yg>ec|80 zyR!PP)DkH>&4X)mou|`i{%RfGtwN2KBv}x|&Ocp@#n=62l>YLA=+mCd+)7Fu$+tU# zvUG~7QJ+e@YU5jh{_FT^SwdQzq*(b+L@#`O;JwtAXo(gwspPCapl6LH`Z%tN}xEO3HhXh}eHws_hG8LvqF^B+;L!bcBiK#xHXJ z`eA@wj^}dm{Jxh^q+=B5v3dOZLdaFH3mM6!fA~ci`)={iM&kIVx{L&Qk`wVXwo@mq z)Ulk7xAWZn-in0T6(0Zfdv~znDtVEa95!|3d8xo##g7VyR!3UHKtF{qm5c2JSk`*|UXG2RRuwvxs;y z7hcsgDz&EU-fnCF)+B-|AuvqDd9{) zauLfRt5cqCIcp4qt;C~#AN_7$HJ_CAJ4#YqYu88L=@IO%6LuAZO!FR z&uH1x2!|IBK}8=mafw!@s~8{Ow|w7|$jkvBYVl!I8EJ)I$&1LRB`vxgd08rnCWZ>- z#n~H-D)y5ZI*5=bD_tg|r*hYBYvHhsQOf;loWLk*)y+c7%7c7wG4F{9Tz=TK228+R z+sCiLha8+!_pQ~UD>U$=y~(n#5wUthXs_y_)=@ezzy$RFVUj(oJ;Cr^xAh@7m6nJt z1|{vYr*TC*F)=qMt|J4eyhVqS+P>CX^P6}lgC^LC2o0xTi}2gG#pJ?Y3XZ`$`bG34 zGwBEMDZlborv*H`yzm)mh(sj1UoZy`8$6^eIkL$3`xlnjU5L5IJFiJR-A*E$Qf&m| z6YPvH0&4|@J6f4Q3=H{Sx?T`%n;0Znz5iM^s6L$=rTMGs8U!YP|A(g6kw5d;6CrGG zlWxqI#@uYtc0xR(PZ36|o7>jH>{Ta3vKtw7E*5EBQm*_=GeO67oo*Q|X0^|>;|EBg zDn!Kj+ipo#R5!`lpA@lc)0kT)F=TJQH6vH2aSamC7qT}#1UD~fe;9kR>j<4Ecl3+I zeW^74rCGY_;<)3ex_~Q!l!6^QQ^R9o*Ee1WQ%aFOi)>Mu|CpwuI^-PIsIU|u`W@GA zE&lse?r~U|>@01L3{A$61u~4dNtg*&GDusyyK;b{R_U(u@jA~zlT z-)C_?Iseys2H%IS+DXn9aUf_4UMtUF(9$26V=FuWkhlIb;1tIDM7B(wff^+*C2#!6 zTQVR$fXHdJ(-+#@S8d^wD5*hkv^VtpkPH=Jt@=BYcxei4eHaOkvlFAOXl^WLFGK&o zy%QWPuuD@Z9VK#M`eyRY=&UQDz#ypJhzrOQ^o9^1H@iZ)&dYRCg>V;>VKrL}%;)jB zaX_{j#e*66BD(vhK3pPshcqcffe@X*DOutv~v>TeJ!}|L6 zJ`Eft*XbO6{>BDGoVLJdFEr$x`IO?c}b6+8hx%9f4NvG$6G=|;7`g#{~E z>HD5!iZXH?p(Bvco(uqE92b*cu|2x)sT?QKLGTY$*ni<`uDxr7eU#xr zd+}`@7ObYBx+gCXGAi_u@OTSnQq~LZI%OLiV^ZJDKOHbSb{+qYe`b2zMjk=*Gv7}6 zO73a`=#EbS7~Fut08Y8wV1;ZD`P7V;l^55YbRQP0r`>+)KN)Z@Z(?(KOg*P41o+5! zz2Pg*(MRK`h0Ag;B~3F7qv6@AWHNja9**8T`>;m_la+C$t1Jw--60Qqh}@$h6w z9s#Y|?e~I2eRs=}NB9lZ7>I^S8h6%^8I~hv-;E_44p~sLTM9_`9>p{W znV_A0G<@zaEiVT|#S>V4Wf@LCZ0JnWysBErq$O)XG>LQS0Z^vtZBa|1-{o^Cbsw+%a<`%^G8xQyyt2dc+ zC7WGVRkTR&NHVvv)93;7d&Ae2wE1ryq>eGKeU_7=`NEUGJFU>x*)dO#doZ@TUH(hE z#wp#hBnJ7NnsKUFiDxMtIvUrT1F;Ud zuW+6*nSg7<`IbIy`u6VMp)+QA7VSG<1t z#vCkNdmRYO7e?F9j*QO3(Y>Vj2#Rs7IJU4>+5cJf49eUsbx7m4z# zk;_)Y@-<|jiM=Lx=G~_uPV7h5T)QHikF9@C<@sGJ)CTgg2!HUB#bxBTqkv?@fwQnK z2Scg%?As0}Ps&42XUZ;XYb*BuQ@q$^>xr@avGT=+M>S<1ZLP5H(!{m8S7lIs0_Q6^#@_X6i_F#`4v}z21_0=&+e!IxxhQnUwy#=P zHJOzTj!MDn7gG&D%Kp>*Ne|x6lpMYF_iufxeNb2-J~GKrLeoa&8pTcvJjI)m@L&*01O{8!6e8YG)8oCwq)vPWIk{tlHz=xJ zpQig$Z594FdM~2R1tG1Cj(soH2T$oyNZYt28wu{pFH<{n$yF$&JY5-FmAYt(uDy)1 zoSXhk$an(S>g{K&iznCsOLj8^XEN_K9b|SGKG&L1nkeKfl2gt(juE&6yuThmRGl|W zmOG;a(vjKV03}f!6%Qh7krBk({3Mhle1p1pNiDAaVxTrZHsEK#{gegW-Gl9Kp9q4r z>8nOSUzIPqcZN033n@IN&F;?wO?2P*l7@tZ?)^{BQu?i$;)}bhXkJTu)(2xHipqbM zVWOs3CKn)|3X>4^V?fh&0SIX8>u*QP#ptZ`Z}oyMQ+ggo>0lO{XS75-Dc-lx6hM0= zh<767A)$Mnn5EbsE!WT)`WPtb~7_iYJ@-*byrzIT3t^ZG zj-cn4H2PXh>_!ElEljErdV>&}H%@ccjEEt@U1>kUrzVx=#$`JO ztW}_|LhuQkRayLX-hm2w9$`JV2Nm3aIn*=?`1RJTefUVkKkD(vo)ny>QCfUTq~!!d#Q6%1Sey zV6j_i+Vk9`fMz-e)w^*s@)(PA$$$WNY$5_@ruC2I4F5YmK{dX-NwSq@$fl71RUBYA z${ww!anKzEwk806VysD{`YxE(O}6tNxr)3#0}F%HiOp5uQ-rjt6>?`aF)1Ty>Ut-& zIJHuIl?Q51ISs?0@Sc~PW3mBfvx2Q&;wo4&JFee+&v4Z*rl`TXy`IWpY2#N@y^hPU zwY9@_-UI@U+pmtIcH$`~HFO&+vUuL!gK}TRksN^ zBNE`_(_co`YhUZ~Vz}E?iXfqfVf3q)4*}yC%um!f+n!o|l%wH$%Vq*X8O&v!YGdV>JK_5*Gic-@G^(QfO$?3paXGt915h+RQg3f4nPbBB66XXaHrXdfkD(3| z_-GHR=taVYyZ-uGhdEUxRcAc-;`L>q(n)*#56hTaM{^ZjH|MG^l{DbIxC~4(o^=*5 zg&FEpprZxVc3NEEr$|naawLoZY$waQ*}vnwnp}_@lpCUGZo$vzKS#b#4P1J}7-X>| zTyM2gdn@Q-XB^@a%pvSP`a!{4JIpLEE@nwIOU_f)C8%u6$viOq+4IK}fVf{H$WPp5u#*+5I9~{z&hR=TKJf>)#;vRIcy)W^nxuNJ<|#S?#aLCqAZH-G1)A>3OO_5Znm5d;y&U!F{Ac zUsu;#$w!SI@vI!L?F*x@@7C2BkNbs@CR;aGIgte2Gxo23eQyuSSp52M`sH2_pFnYt z0Xs2@unF()ou^fJ)Nsnwb|`^@jOv<%-{0&Cc4zb!XMSH2xz!OIA_W?Em|xqT-{3PF zrV^!+N(j}GlGHDp#ckrE^UWv_dH40@$vm>dx+wW67X`34gk?h0w#)474`iwa41YkG z*~_gr!C~_Tsd*?)9DY&Q&{Kw2$cLnv`z$GGE&bMb67q+t;eP|klc(&)Cxn?er(daB zQ33^~-U3CMA0Cma2I9S4BKKd7*q$`K$*Xivrb(XP)XU-AH+&P?SVL>UCp6e4rMrxm zH#OSc2)PH0?DzpmGk_3ix*k6`1}H|P z94oE#U&`e#qrUEbryKEd(-W_iwu1P4|3{JELUEQ>5xd;`5Q(4MbrTWWXCjqbf~iQh zQ%xWMUjnf4(S0SOvFf{Grw6WB2T6t-LdLk8b3Uf zq?w9gVkJpWwJmEt#yYm%ZF|NsAO2%U_gn~kM>rGMTQlOq{$I;Uv8QbZqozo!EcD0q z66ppWUckxwNsU!B_~kn5D&NYu#?q&2fLRXYu$J8Rr+e$?wh80# zsh2=_bo0%)Q-~=Tlw2GYVjbf3_4@X?-d5g{vk1A{ykARa&aJI+s!!R7ey=~NrvGg^ zc)7%-)eUR?#}Ei;zQu;Kq}eVTjH|w3=(z(dKL5|O0f^qRK?A(MRP{6+PLZmKoX7LG zgpbp7k6KXv-@gT~uUHDFGv+Z5fuXRvxz`V#XRkuQl7hAF_- zf(H)@fEf07pJq<_CAso7p1 zNR(s|JK5)fZ!j8MscUb%rl!o2D5vmb8Ka3muKeO>%ldb*f26Dza0lAngU1_->bYe( zf+nJe0ie5Eo9gs~KQIQfX!%iQ-j$2Q2G^kLOwJVs5i+w#bzL9lz?XA(+U*P8S@pcu zM$xRlothU_Iw3#S?7M&hN542Ms$dUk`5Orl{X#w%^OE}!1H1f89`-I%((O-vASvqy z36Ju_{qjtIL;BS<>Z4fRXb6KPo~r}@nyy#PJv}umwDqE*AW73V+0F;s4?8*jW1Sh3 zHVu@~sa8r%auWaQk>6IOzPL+xV%z!7Z>?GSg774(`Hzuxaf34^d`(I(rm|qJ>aMF9 zQaoC{-sPMLVM4O-()q@j&OCN(1}Zxb72^ghQ||bbH2{l8W4dJ8zq;WC8d&~8gZi41 z7xoqXaJEI^Py2y(T`Qgq>D<_1Gxn9-ENj-(L&TlUpp)EXk(t%K^k*oW976f!|@*ooNwCGp16-KdMJ+W>T*`qxW{=CPM8j;1TIym{8S?z z5^yK-JfRLEG2=F)V;P5ru_}pVN7X4G8!MZjt`$4#*0v zUOzfgJ%M${$fS0^3zJa#BVwRGuO8M(9_%kFWu*@k|LxNN4>@E$eU#aCzP+*%8xUE$ zZ!gpHNT&Oqc!>B?Rb*uPWhxMi=W2)Nu_$+uHA#*fw-8IEPV^g7!WvD^z=ON@Y@w97MvPi<1I;#6x@tO zdPm**h_CG@#oDr@g+GMm)V(IG^drhHrhbGn>q;nx*3AQE;Un+;cUJ`tmw%c@Ow+47 zPL|H?uE-KWH>*^BzlXhiKCqns_v5Wbgda+y2hTK zo|cwtVBly&cX^}m4TVtRJPL|sx!G!wi)Yay-Om7r$Rc{=xhG&0OXD|qzGyjx zh?tJu+uC9>kk*Z*SV@r3N5qE4luT-`ea1kREaGpB2M%-oC$PG&m7Fubpr;b2?fcYg z>ZF%D#DDL8hMB}p;k-7=fsqD@k}OX2<5WTa^%!KKYa0+e%|4P>yyB&$$y}!8K%Gjz zQl9Wz@%4rm*bYRX{2NUUQ=Qa#$8rvSg2O-abcp>Y`4Z$xIb8yIwAdlQ=QRYwCEwU5 zahcy=m}DEKY<6c^F35SrQbw$GybB8c*YBU;u$vK;5buncGP zrpqU)Y4_#Sm8ZWT#<7ByB|Mzo;;; zAll9)_eFv>foKbi^TWC4y6a@0z5uA7G2u$*vW#T@d;6ISly0+|x?3n#I{sE_*gvV{ z_yZaTD*YTX;q(YGmir!e(3Pi$Pp9bpWn$$hm#Xzdy<=OY+_1l7W-Kn%mv{6pNt>z& zwQ_BA-dT7-U;vot4N&*mumtLd5k9ZlimqyLG@i;)$ocYT z*j~kc`_2!;c#~;Sj@%87&gjY}^L3=hnm5fGrFhE0t7)Zz8@MjT>p`d`boM5sWFE2_ zycYnY!;v7M>Luc79a9o$R*Yua-uEAx+DRr7_dVY_Jth3E3R}*<{ZaM>aA;elnuu`r z+)jKg-a8GznW%q-@BfNTBsgF=G+Gqv993CEt!hwR7dHj^HAIH-A6L&c1@d&yl7wL zpv_ZB?DAla$@P{DZE&#>a^{yQiR9hPbC_=~x+jh3Z~dJNJN|NTSX9pFK|6~@7)khk zkd96nrWEA>-gtidlk8{0%usl!=I?i*(s-zk<-~@9G>? zZ_E0vw^z^6(bvD%m>%np@5)=_P$`jUWdu<@QhJl}7!oDqqH{aLS}rbbZWap=iZ4zd z7+1fFMoQrAhX|%F{l`ij*yVds(to$Afb?j70X6*Mg>K|2DD?nW_o&NE{K{E8z9x}1 zp3BMx8!c%;9XJA%BO?8!h&bE6U$z9Spl0JuN}tRJcyo4flG~KJ;X7W0Co$AkTYgiN z@W~?~N}m52vtxC#1srPtQ0vjV>je~9N#hF0LVwQPMwfX|?nRgK6%-zq_xT(cL4K~c z+7_{=s!zF_>M;Sc`uI(&%u}?c!%J^J18C_d!I~t&951Tig(P@(18bTm;MRMMd{jeS z+eGV0Y!RGD1pCNkl&71zuEt{a&D7wKo?|wZen5r#Q^0PEz6vb;^May(*8dZ`4k9@y zBZV*m0s^+|-%;Hf44N3|;!;q4LOmP(rRGtmRB%}H!SQ@e2XYZ76U&Y*%T+yxGl{Z0hIYTO;AHZ8!Zi=EhKZ zXPKtge{HOpD544ZAT56fvG5m%ZyQFNQ+|{MC;+JsE*5R11y$yy-o|gIA)jnmpDkmk2`T7a2eCiSo=I&x^ge0})L# zu{MuS54jVkBI)reW}O(Sp%8qH0UEOE@Swy`NCxXbmq~L1F6V*m<6n=bKA?!@=Ij#( zg>rt+YHT+sNAYUT(^%5?9L-uq)-^i4c@e@--z%<4>7=KyDkGvEU22`=ZiADP&OlS3zx=?Gw=XB}GX`=k1q>IH7+qbK)dC&F=I??i!!a%%!fTnOXB?+Seax=s{PO$hbQ{XnF&r z-j8~IRm@E%yiK?IBQ2P-d+XK)7UQvc@Q@72Ok5!xoZ6{5lna|S(sm(~j2p4IspHU|)2X2tk44ph;#6?g>< z5_E(aE3w^`{@7Q}5(H0vdeyjHFwZ=1xVZccV!DyW8Fu;vT)QU#OzYPcmG3Ux<$E|^ zHI6_%;lVzSE&ExFl&f@7?6=%6Zt0%R7d8@43}g;B3{wkf>gP}kpy0yB}EDPH5G1uJH- zjeZ0Jn{1kuZ|;JpIBkNCR4}s<&^AY^8u5X@`f$M>g>gdian;tjj(RkrbcVO+;>PVU?kX%H(VXOdR0=7J%w*IE=G^eV zgZha5d*{@4zQiG!l3DdVlw>=$n3VSQPsv^Y%7--1iPL4Ja->p-M<|5=`np8IL5Ov{ zPjzYp&WI@G5l}rx|Hu<3Z{4-vsh%_1@m75eBby#%n`;7W)Qs(5g-TCacl9`1s?+!l z%pzqFjFPaCQc2g05g<2PyJy&pIN((29-Zx2DD!#o{<-t}E^<8K+#gV5)!Dx7n0RBR z$RUn((CF_DO(p&-IXfYhGm?&Zml>^}{i*Bs*hJM8S^yO*|3}fvjv))J1y3!~Q&eOn ztmsdLxc5xj{>#Z_eTKPj#?AFs=8OF6ICsl3fl@YrJ6i$k#J^ABZUv9)0E2^|bpB(ZL919a^Ume_g zcrE}llN|V&%VgUWX9TIN&$n?}>ke2U^;uwki^_dT#vQY2VOdX7)9sb|7qzRo-Jixy z=+6%tJyfJB<=D3+dV2+z3PWJaHlzNk#LVBDt^jN5Y@8O>oRb83!HO*I*E79Z*VsUH zz`Xk(U~)t+)ljrGTfG2EYGM?j{6u%Zzhp28P?u>7=9cC0S*ShvqvvD6di2967=pE3 z zx($2U2gf-R6TMSIZKC*K z`HYd!(S#VAUHb9K1mFzIhZjs83y6JCP8#$BYC-R(sC3)9AK+TP29gR#6bwnXiR+T+ z^|Dg}*m=&dM2Y&gpOY>rK$Qf~&DG&VBi?q%leFX`P&o&{AHK$x+w8e2c{my15?Ta3 ze-Ka&$zm`;ZCjF8p^CHi)B(5@F_j3pvDqj?#w zZ)*b4ZQkWgj?}-2sec`_xd~`H(MfWRc*FN(yFYiRYNft}{4Lh~(S7?h0xeAsn~G8Y zi4c#hx$4_G1^wX@YB{o5%4=h0#w2D{@Cnv?`~CIx-at=}5@0L?WJerolI7h#Sddg3 zXpq2e4Yft&yJCMg95cxhg$U*EEv&BBcB%GTD~ix2Ku7%TvL?0QH3<(#Hj>o#Fv6uF zvdaSiUD~olS+KBwDF9jA2-8yplAR99#JGl+@lKV!|GYG|%t}gZ#4e)|o(YL&nnjcH zUITuqCE7eh(it|3r~CRUhs!3U&3z&+m^0|_l$+xg4p-vef)#h2-jxE!YleanJF|~3 zewM1i<*kL@LO|r=2GPaQSjj;p5~L?`xw$QZR~?(#dip_}1XIxnwmeNxkMDhAT26(R zQYZ%r35M2gTeU=hfPq!d!*-~KI5$4yl>CNWV_5gYbd7>g~;>=~5t$j_?zX#H%f z6xMb1os{R}Z;KC4d6``=F6Qpzl4@PtBllcNJ0e%KkN(ZV$VSrO0#eDUjT4qgQjulE zNVuphlI`dO0P{*f4K+F0o+#tNx1 z=T6@6cB;F!a5w+VCw5>i;^8Y=nUH6}PqMM`0Y=z~gOB<=f*g)CeG7Mr_vD|0Rx5Ud zQz`|SL;FEYGHOsi?p2(41|Qck>-YbXLtJ#of}gN3!QhlXg9d)D-BBdgvfg%si&*$& zkM&}N9`<&o)QQE*YOW5a!-f(GEDuw|Y>iowe8XfO+N<+%wVXd-^Ws#!_h);oZpmO8 z#9;x!6VygCl2HQ4_?Ao=Ns>%{2A!b2U#3;Roall-Mc4=yp)3CJii+D?>u_uNJ=paJ zS)h@j+!yQdFbCiY_Q0l+9g?E{>j_$$uk}st{Pz2idgTW1d7N9qB#rvRf>R)*%U3*1 z0F#e_dNpz^w_+y1u;-VZ?f}xEjcPzL6VD6GsiMcn0PDc>t!NP>spH>5~fR?shV$+WXC@Hz3OU`eyF7DSF?$l=V=4GQY%74ZZJ|6R<$lbb>CMN9rp~as1KcAGXeR&(AZ2sxqO-~OB zyH>x6nHPTT{*q9}cM?R~g=;N^Io+m%U)j|q?$LDjBoEOQ>c>c>WRSRff z&LPvQt|{vs{q+LYczV1@^5*|Ht@-%J1{$iJ+T+{u9{KVL54D5tnhj}f@wAb?&Ix}j z7sSUU>#ju$#ddTJD2I|mSn@)OnU8ZwpGrJ9#gU%N+yFUUx~8VVFL*a|*XIhj@(6%M z0$0ClH-RG@PnM^>WuN2qEDp8iN(2IAe-vwvL$F29mzWz)>5KGwHdc?72vqQ93q9qL z(col`1)h3zL&QmRh@0PjbanwT1;Lei+pQT$2OK{|kiT6nYfVHM*inbj znmVm?D1bqM#V-jtic`LgOBzJ=WJGO&20hgaAs-vd(MqW7!6!f1M$VShCtAb7#r!~5a zmkn7nw^;p-Wo!|OSTf*@ht>oj;&P*;rrT&(UQSHpagzApPu=KeeB)+}B}6Jb{V&sx z^Uwg_BQ&lPUpyK+7~U;T3NL-#olW*|$mX@ZTSx$uQ_G>b1tc1mrm;4X2VHvyrH7u_ zlx%KpvTEewKH5(scKrMj7V`6E?z_HnfsT=>Pa}!Ta^`^~*V@zZ+S8RY!VCUu4`l4n z1^M+F=ptvLJbEl>RGRE1IMtzwK7LWg_%6PwiW%w%Q+KEe_B*YJgJ3y~38p_ExWALS ze|l+X%Xs(SSGyF&|h3_?g1@!f=o!~@gokH4fs>N$G@+7Ld4iEdc_ zkmw!8Vhd$U@bq0&4Exc{RLy${X@{xF-%q-vL$>_=HBx-7%}yT{C@&V0j#wKZ{=U9; z@42NjJ6l@3eS9)7V`x6}aL}u3muQ8O31KFkPDzsx$=gWeO3vY`RKKs$ZQ}Q0ba}ty8 z6Eb7ofcxbB`lLcm-{Z4FY~NJmA(p)9S-*L(x^V|JT$>xbbo#;>^SL$bJBsGV;x-1p z_d2W-A%eA~Ik}e8$lMr9g-E(?#tTwc^Cb9|dhvLmYRvNH=4+DX&bC5^`Y++4YS2`x z=&9L*6OI>?C9(u^$WFRC#Sxenx9_cineF?`J?jx%g&$Yat(`)Wh301nr$Om4t!~b) zJwHW}=q7RUSA4s^J2XFCm7lR? zVy(hrCnfHWMg)o)k-t~G2V-C7ZOBoZJQmoNrLVd!-y(H(5B`#+v&c|16mQ($3n|xK zC-pkTdQ@<%qxg-4j~ogI1*F%L*yaws)YUhKS)wS${vht*uWv5L?`#`m6jsP%s!QWq%_ zJ1?_p9(!kpUN$^k9e)DZ8)|@0`$>sFL`$gg%mv$S>@(7f%~d(0iEDzB?mO*o6jmn> z{FJ~^M5(*_`Y%t*mewSJ5>v2z`Bo%ikg~t`!!$>0AGFp zs{piX!(+ldRRHvq?Or%NY=2Qu*HDVeRjEdGqn)j6e;riS9pIabB!#$xS}Tr^0nsEL zeq!n=#5cSt-ok0DzMt?wSTjZFIDz)sqP`5?^O60TqYPv_jh2d1D{JYRwtb(@e$ycy z*AU|9nLnDPV@oXDo2EZRmq<76`HdP?Y-?2r)OL&n@BgwrtP>r`QU^BfLlxo=Gt*j_ z4V0n^Y)IhIc$gn4;hqzyuSN=pcz_-jHJ5nTTYewn`_8he!=#+WX+DP(seX^@J$$XK z@*+wDJk00(!ekTR87UtDH2b_3#E?+krgqu~1@tB}=rcVjj;D&0JPj_YaB#;4mv zN+5Xd@GyTkOWJxF63)xm(^W-E)2Akpj2^bQUSi8_0eNr{8E^POGftpgI81J2kdsv3+4Y z6*Y092hCfkU?LNKi0tNWD!;8@eqniFX8|VkbcbCH#YErCBD*+ zod&!fjsieOFxIIBB`T2?oWNYNIv^@N)WSCxFz9V8G*>N^1s}A_`)FGG#K$N`>USs& zBfCYs6i^Fr&96tSEJ8s3%T}3;1tonq#6(S;BuVbVN#5~HZ{i7wXNt8DkxQA^(L z&g?cW{ueuH2YvTQ!MY^HbFs0Y8?c>oV9Q$Rf z8DzCdMvvNmpPyI2>$vq<;zdtNf%aGQOOnMczUliY6toU^e4eMXm-K;eu+9G3NU_%l zGYs%xnYQ=zXapGB6JUwj>*(11$8^L=v=`~p=X80Of@Z~=`ARhuK$1)PNcHi~9`^ue zNuX~K7E4-F!3;!%GJjbti_smiR?wP_QVA^J%2!k$0?@SLfBWrwGuH5K=1KRtxgP>= z!*q0veP@-YC=axfCA4+se8jptJC6eH1rS%sD>iVJdA1{C|M!Mq{!CSYhhfhVA8{@ST<-csE<6m8u+o~!i}2K+KRZ zwe4*=tq+Mf{A$Mw7x#au@J!yk%%HVr_*Cp9W_Gvc-;*9u62duUSgA*xls3Kc=Nze7 zZ0EBUDHRN9MzdqLtc5u8KeqL{-<^K zp9lx)pqzud0!T-qm*QF0?yZj)K2=ur7vN^7D6cF(SYLM$%Z>fbNOqMXjoKRg+Z@fk z#k8TschYvaBLo^%{;GXml5q`5E?a_0ny~<=BFM_WHi3psizv7<(*``gc(Ef@yBQRr ze9+!(E*rU*$^5AIKbEdCs>-h0(jX<>-7Q_x9ZDl1E#1<6=#&xx>6Q*b=@u1{l?sp6HZz0deP?e&s5O@G=i94oiUm;qehQ?+is~rB`nF#_opbRS>ErmK(U6F6A4ZtiOjdYj@@pleyXw-~ zj~ArJYwF>-6O!*`XsC-bsaT63C79hoD{%+4P0@~0vK?PscPyIa`*N@4bka60zDikZ zmti}u5NEAxPsOvGpy6)%wlsN@B;nvb^QH^JEo`mH%NCnkI0LNmXx2a;@v|$uRu;^t zA9VOV%B-dV@BLg|;r<%?1QW=I^q$`W?Kpt@2^c-^kQ6@9Sm(ZCqI2``uoQ5_qp(a> z{b1SJYCQUDbGA)&1_DfP=)TJ6{Mquh!(jZ(p{<0Ny)AOWE-~7w7Q*g2oNDz9W9y01 z8UL#}K-Q)z^}C)fayr$5rbx2!S>t|PUXf5$Bod=G&x18)`kCWhZ53*U50#%Fqm&E6 z3dkU`wN+L1V!ANdm#;u2sbFqR#Ck}C?j&9?iEaa=`Vlnybo15h^X`l>{fUr=bs%|m zYFwJFm-)#c2~2oEV!UIn-CHIElE;W#2TjFs*~3gPKVzzG0H|9S1%n0jKyiJ&+uYeX(g94n%4%@AK@ac zt8mPH{1bouNmHiYy>ESOB&zBgnSS<==;c}5A3+KC79jV>fTzoSY`<&TNgw0c6O_S4RgiyqF{uY~+bTYRlU?MHs!05}n+GjV zeSGUDDBdl2F(kC?XyEoETCNTXh^6Ez66AN(e*UdG+C8wVT7R37a<%D z+WEDOi+7b)%}xyP)lq}A==J;fHd4nuA223jXu=FzILiyGw1R;&!GLmu47R7su1? z2xU+?MkarMe*%pcX_Hw3@4hYlB-tjwmJ`4wICxrXKJ9dx%mCZ`Su~ox`rw~$Y?x)Ql?%uu_sENE z9qKu^S5Dxl6d2LIQI(t=773ZGoO-2Hq3+a~uxgmEUxXHv&aIXSsKp*k;*J)=>te4k zR~53fp(1-B+}~Jyt*d$Gk!mvoY=2`zfE7LXjh)BdG;oYp@gzA+d4fTe7nj2orEXU4 zW-}ta+SWodtVTupVL1-!pY{5Wb6e5=s6AZ0qk1hkUBNSs%;Y+$mtaZnn85bN1p{0dt5gV+E^GQ&TvSdN$e4?nAh zW6DlHwmDBwN#x)IVl+CjAF7AYfF3U5X;y*--JkP;7MVW6p9~{Fedg9;1QOOqa;#>3 z#C}-}p3BHtH|*N-TQlvTP7LJr@}iD1yKD8n$weTylRvf`g)pQ-c=9^r#rMW6y-76u zID1wU!R+k}!_lLHT27!?~fhHH~S%wQF1EqyOb0I&iQrd;8$WDjWMyZZ$U{G1njPFCQn=h4c1mr^}d zwxgyg@hpj~jj*gE3&?rznBGtZVPqHN8$K0GPl*!ST*r$`cG9*$O zDO7(HZj;>9iax_FZGTSRlb(>_RP(yJ*pBQ{G~VLGxFygfZR5~3dbG*Y*g=#k8pe5S zgO%gSzFZfAA`u^BE0#OBecoEb!#f6-lNWH>)Flz$~vY80JS6V+8XLHNfgrLQ}+gHBzfs?s5X>MS+I>NlK%w=*4{%_t+ zLP?q1OQ*=X&P~}1wQuLeZ6%Lf)@t!<-*Q}9%`9Xe@L%EiD@F*jnyW}%+a9|}!D!-z zM9Jd)m`C_rpt9|GTD5p9fZEz2B1hsKJZ+0@K1fjzu{uDyUBj6e@a+Xu%g zq9gA%3{xR@yQS0ie+0qcq}c1_2=JbWe1K?ZcGC+PG>6+s@M*_mD#X zioF-eK0;!6Xg4z;6bHSBz>cTcV71W6E;{$5I5fF?bPwwWQVvoLxaK^()DlV~#*ODw zk}Vig86(zz&AjLgrgS^?C*&@sA&=SR&?F7jjSyCn}bYQ;-i;6x??n)f8qvhmKztsS;O?2xSz!WSbqdUHu zRaOktzq*DOYz*zNSU0I}8;V32^F02hta=qn5_dVS(ynY}JD(P-%5oycW+X>kfDaN0 zQ6(9%qAtn)jRut^-+TTk)q*VI&oxfEDjTGgf5^+A7WXTLUzFA#2C@L_0Mu0|2-xeW zRm{3-$Z3T^uAo)FKQf5phnb$^+r$auw%AOY7%v`FSJ<#<8MT&{(@MWbiZu)-4PGwE zXMfM-QIPd~v?M5)%ab<#2q_?#28{qo8UY1QG2c2en|4-Uqpqz~#rUA4!mWJZ!(ji+ z@X?jAn3KAsv-Qz?I$qv&xi4MBs6h)uPrs!=-wFeL_~ELXrn?VPZ@P-d38BL;kDrXu zHD(`9sbTNW@zujmeFin6`mxO>4}Wy{uF;dQz(Byo@pRDPGzT-BkoP8j5j?cl>jHoU z;GjtcJqVM{u$}Bx);c>o7gAT-b+olPSOX%YogT$A`@GV%kO~Hzvu`aeF@vOOKlsG* zr)YAbSdf=X!ln>hpLIuYKn?0Ds1tt8WzL#$)BL$cU?Qd6<;+*j6S2u>3@wEpQGD66 zJ(%3OY$(h*x+wY2;^RGl$|vbMC9fy`iHwlJw=Oz&CrT!Y%U@elHYB*`EI$2=IT$2Z ztSaCRn-7x?Y*PL(+;wtU>e$jEJK{E9dx(y<5C8DRFuMPeQKTqQuzc*|V;-x9Y-{2B+w%92uNnt$wBX%%Wr}_v&lZ7bSc=}G9X~EDQSFVM zGU%7(K2k^9@9%U-bFUOOuYN8Cffp1x-aO3dIo8(<3fBBR{&AyZo(rE;AL|7 zcRt)w2zTvbom0;-aAu>9nad!lig|XsoyYez{|d*mO#E#ftg#N=tf^!>=kGC-?Sy{Z z54l~{Gllf2lY;G6=e;+1Wny(l&UE;14MH-F@pgO5w2_*T>JvxLJ^ST;Vm9_f7S628 zZa5Uf+79@0mxAqhbiM>syWef!g8A6ihbTi$Y#d+4lDw^!a>OMF?D5IRA#ePA7vb&Z zTbnTW8S@{;VAH}tvdQSy@~t;CXR9-5MHvC~yi|U#0j_pSy_%5nAc>t?Uis?@= zMx@)4k^rs0hOAgr_}fuF56Mc$7NYzNDa%8^gU57?C^O~0Yinz(YI9ajv-ssl_r_nC zqL3^&!??vQg7=3gW^gIZc&_6@r!DVp&5I8l!Na+t(w1l%a(6m~np|*+%2m=c&9a7p}Wr zhESuzHu4@)o<@=;kH0vwul8j(Yazy?kq<}5&?8CcZ`jP<>8f2dd^GBghiGlbl_7&s zP8qb89I>lQa=${*h;PQ5F`CSD**AQ|Bt%8$mY08{8gr#r=~&Q4KF^@& zSvKR5as!D)vlKHDg-{UPHn=T`G1rK53=&ogS`TBI_7Ah?o z&*gxw)FW~YUX(o@?OwgF**ZA8!nOw}B{o`S`0BY6dB62ISCTRFcr)2!;omeEYEg#J z(N!j*uFS)S*lwSEpT|N93MdJJkL3W1RZ8sSoZ2vLtm$<0)|4 z)EC*2I41=Uaf5gi!MgGY*?P;gOZ&j6SD8rpdlK>>r|{XV{9neuZQ}BuQ4uC^zATAUmP^P@!wa zM=9&YP>$J6&Wfl%iETHTWLo9btVG+A!8G0a!Qr!IVb#?8sPH_Lz*7>uF%WQg2Yd3o z00t8X<8 zI-Lx9Sf>Vda1_&*VTeQtVqZtVu76UZHKiJ?>PlFYj!V-SUWz6tw0-|BpX>&*7QraK zuzM2iMTsiQU7QV8)Q{@w>M`4I4Gm#s%W9=X$hw|zZ-&_G2HH%${`&w6zbvZ?I_UM2 zkd!W!53>GL1M42FZ7Y?eQ=eBkq(`xWiJKfZFa8kuDbyKpt)kbrfw;c-3GKg8g=&7k zM2M3^z@512+T7KZcoPB!ZZo>G)`D3)MZK21(gHlzP-kcWcoV~Vq%g*FiRB^6`M&OQ zg+9iJ=(oUygrjYd%f~N3<*e`KRdSiSXDvq1`9bV54_TzDa8N`m3a)!zhcWq1Jl13B zHScQ#)Vwc3KYy9Gryww2@z$(Plz&M`)a=x7DGkT@12;RHFDQidY!p@ACb+)y>U(X@ zUrfk#+j8|fG!KPr>NA2qY_jcf()4js8|$6t-k;=&z#|YaUw9;mFatmAO>cX;%VDcb zs!&u?w}u+qTog&J?bQ1h(FqgW#T9iiJGQJPZ7d{?j*dwV%tFtnlG;Pn5#}c?az8r# zm8U(g(W;0l#QOHSn?~Yh`t1FQS<458tJ#n(JSgCG+FOJC75H}R>#HkZC}{B&Tw)ak zuTrk%zXStYX(IXe0RdpT)r~h~-2m=-tgq?+u+Z+^ho$dB1>jnbWK+L-403bmcUVtX zc*1e{cW#`A;`kp9Rm~sj_oD&YBsH6mgF^a2(Cpk?uknrkuJfUXC<{&XGFmI5<6F^A zK4E?8>A|DY75CvF_K!=1FK&&{;Bn0^@@4kmwPS#~hUKNsaL<+WziLtCca$`jd8@Xm z=4+0lBo-pj$bomq9Y-3LCex3ViP|H1yB?xhLwgnYH)gVLw5+U;JMWKBsRQaP7^H~k z^71&cX-R1A7r%3K1LEaKonW0haLyHu5%? z8uqK0`KRi@7|y&$>_^?tO}A&oe~N3QAmrraE6{@b_rsth(=dooSB}6*31a!GE)o>v zVASfl|7PGZ@0j76>)HY!>exLbR(=Tq_G)20aB1G#6uXsQ;Jic>J2}eZe14-8=8~h!P`KYNue%86$uu?HH6dj#fiZ-AT}~yvdUB${4*%{SKPrn&r&>F3 zV)gV}sD(W4V<9?3P7=aO-H--qfONciKoX;@33%Om1@C&0y@%Pn-5XWNq372rfxC-+ zqZ(_nSA$S?HZ3?N?IG|zvI9=o-1EN^tuhGb0pqNUaQqi|RB;uEoLg!yqWUuVl@J-6 z)$_~2bK0(4^#_e2TJgnz_WqNnNb9GG!!`7D{Wl=B&MqyXXoczI6OxRYP=>4^odNDO zQ2QUX(4c(20{lJUh^*PMv1B)xZCy*t>3fq5eN|fZSUzSbia-M z=so4 zGy`}8d9^J9WpPC(mUPFP*LQy^Z|d`TKv9%!v$^#Lhd}i15jfu;oT&Ll6mg*)v`)Tk zyTcvPAo3{m7tTh(V0Xy~7ZrL}3%i@moxxO6*yw=mcR}|r_SlL=<|BRShf!wPaKuQF zQHm|)6Zg|RbSOQ4hP3qE!>rb!)$#Dn1X93dSM$f0OWm$X4&At;O-=$#I!Wq7d>w6V ztMiWo&j;CTb>A&pO_Yf{jQVXw6x-~2wJG&K&N0z~LypK!Qh3#a$ReNOUOVtdS_M)Lj(#<3j$E=mdYjU^)M#`H6GXOA7(a0(dX z21;j8rMJhGYPS!UOCW7+)zt@N7Xznx7c8=i=33Cmn5DnvAS%P@jaDxtKmnte-K9kS zBNbL%PMb^2aIcRRv`$-cdncDiP)&bI`wOES@nP(1$ggC`W~ zUrMDUBl+{uSE+@mjRV^M=Eqlgs8&p&e<3ZP#8=T9t5-J{%>f0N9_vjW6wD2(yDpo$ zZTOn3e|St@K94zi0XusET*F_JaM4IQbgCIY^Px+4Vz)Lp^IvEH=mFe|PR@(1RxvJt z1FQO;@g?gz_cjA5#m%ZAGaT%2?U=7r9pIah^25^4ptl;#so^_4AiZ{Yd2MpXs zju|Z1SIjA&Vr$V}{7?`j-nqWVtY8ZMi`x4$N~4K-=RLRsT!kONY)Hy)EHxH&r;#Q0 zHXvwwm~v`UIte=zW8DeG#zVnMeLo&C!{J;bZ9@B_x-W8`tz z*r;MHb4P3J&oDmHRh;PPa!Q)BB?+ft((MHyKw6JP+0Ht&A$&Dihq0%YOLUntfW3l0 zS~&}%RG?rdL$AAB*oz5X;%2*hUc!?JdcL_n?uaTW6Un~Dr2m#Os&{38dkyQQ2_Y;1 zJpdWa7y`Zm-S6T?wb)>V;!Jsn(b_>}(`UyO;P_t^YMbVqSk_V5N-8#F9W)Cks^{4U z*-X{zZkEDYKJ=1q1m)1A=c^u(9JQA@!$(J4T6ZgK=WZTt#sRpN;)=gWNJx`br5Ep# z35%DHWs}=GI);wXMySz9JdMa!tz?UAkO%*bY;#Y#z8o`AS23pAtLy7uaw;opR0kiIk$a{ki z^#LBDlrw!3&VQ)5#>n1i$8?teQMJR{zUUy?%?hHNA@n6a|J$;X7{VC!Drr%C904~U+RV%N^>%g zD*Gz@7j4ddz7`poW_;Hp7BQgekEKj01n!iTGuLcA_?}8K2y;uKp7!AQ7aku6`{f2?!ZkH$6Z(?7nzIJ|MwjyOXI~A{Q8rVPQ%6LQ^QWw1Br_ zJRrjp7L277#c4#KVMQK7*8i!RS<2}HO1U-;IX!cvF6B@M5?opRYZt{P4`Qyrcw7zT z)xmAVxhQsLr~;ySf+=&c!bgLyFldstf@%#wv zcV4ftPkj7w1=4>*$zHJSy1KdspGe3(fLvDk4otJ+>(Z1)BXpS57dz z!TEvG;s`>6BnmSNlg)jlOrQ5r{Edd-;^qew%`C^~SkFtWXaqj$t9cR^H1C+a;7X7$ zOCMa)@FWi_KMyDi8?R^5EFOvp7G(=oTKPJzxF{C%K%xSVOiU3}nED50RPMsBW7Rd< zB2-^Zg;FQ3IBf%eHEa2SX$_vP6ms3}$Xi);b&f!D4mn=FzlLt8Lm3`%Jh}5mBp)xv zBV8z+qB=S{ByUqB!6UZ(uqD)h9HSTTIzQpL#7+MEVPOra^TOPmMV9xHZ`7Sn5`*w3 z=sx7JmNTHQ|BFsqi6}@SSj?j$g6GA*S(istOI1cK1!#w{aI9Fxarf99 zvx&bEfzCR1N1*1f?&MX(r$*@wmaG!XkL_e*-;}>`)%0qr@0KO7&DjO?HDpE*<90vF zny!Uu*AJ-1z7P}??ybYxhrCNUbPF4<15-xkR2#M%ab%6cHWK32RjKxfh!> zLQAPpzjAdXF^0@mxxyK!?{WqXw{?VV#H?6Pd;N30&EswqwXj-#C}jC#>cg5hUF zl2yOl-%#vTxH|wXaD>XLl2He|-fJSNe-bzM9m_;W9Ui!~wELbj&2by>dVY(Z5*HKm z7%nKp-{AjN8r%eW>{t0KZqW%q39eW)_T6E+{Tf_YQd14HgCb2WEw|v$=o5C6nREqF zzNgtS$`OD!Qng}{{ZhGq`+Acxs>*1{l=$H;K!6@+p}TBys{{~vz_{RZ%zU6LS|sM^ z@pUrmjEE2kWzfaPFB1!D zWH=}?vUd!|z7oGP^9%Y(>XZBgr6G)VNLwUwzeceNCD$OL&iY-^pB%2i`OK33BwdY3 zOaoW!Bb4y3D=&pv#R+M!_ax3NLZV7y)EF$+#b(PNBwGFpIbEk9%d7x#P4 zWk@H^`+s-S5w-{4zGl$+gpnZ5N^YOuLZO`)sj^BH9oLv-Uc;K0(XOEqtqEGzR>6+z z-{vQ6ik#ihS#9$@7F7$3OygbqTPuxgC{V^Q=2%m&%T>KS?n$?#Q_%S@j8IE2%Y_jq zNa2U;u=Uy<2yceHpAfZx(xbf&|7$RJN*vCPqcrpOCN^OA>!8wkwsKPhcd->>m&MC! zw`X6Uu@8;+No_?vrBN+5v96yqgyTXrYa&n%-RqD4EFxar+M~n-Kg!~OE=I^*rw$Ic zh7>{54Gz*PJ0$(wfMN{1F0V>;h=}x`+#sf#^A$F0%%z}{D)~D~TNb-KX%ZCCkhyi> zoWcc_%gNm969II4w3pxv9C)?$Ul-EB-|?6ub7MZPk-S1*hC#2ry}emgA2v;)B^i%z zVN+d~RizgZ@W$lDmJ&Dp7H?=>Dv^WJs3+~|YknYb9$eoK%xiv>!*jlQEW#hUt5rbR z*%;7p=(WeZn60K%#`X+Vxf7baQxtEj5Ic~Ωk-!l3dMOO@CHshnC+XwwBmfP^p z(1ZchQt8|cYi1V@w)~?!l3eE~{gghlwEJd~#9thCWX}@1LYB#}qxy_tC)Cg%{b-{B zF6Wc@tBwn>**Q!2^9Sk&R9KHBY#T=58?tqN`?T=ZdbRJo%u#Ouun+q^*!g(q@>ZY- zBI{y(rP_6&I@|(o=+fomAKO#}rt23TITNqtE5@2mZuOs$7@=<=@zSb9cHC}dwae?> z0N*B{^ex2J62q}WD&!Luc6u0$gRe$j!3$1L5~!ptq}hw@G@n(!6-)^>`#Btd)Q+LG zFRkJSzdP)kA-`uG+*&ie&tveqo_lg^HUh@hJv0Vb_oDh`MpE zx|-8AF8QZvnCNFE58ezGDh59E^=?POam6S9OrT>2AXG^DzX>STiqk*8+ zLC`@vg$al82jHx5ay-{C+NMB+yLfNUTAwW=O+Nkp))KkCNzRA$e!!DAGR9CY@8cfs z`zl(k@?2iOfs%C;I_KkW>)s+x4zg4uljfe^lJ=mmRmq2_QopIaL2pYWTWeiC$XW|p zd>!IKhd;4Z;K;&A%ypqk_ujQk_Bf^_Cfm!yqUy+;QO<>Dqlcj5b>8@#J{&-%-W5w| z@pG)RY!qy1(lVLhz6@r@GJ76Z>3tXYX+HL7l!sgUQ>Bt2dj|;#2?gsrmP9J3mW|zZ zIF2dY=q#e51X+AiO!j~=&dS>+XOV4icw9*16*OX#WQgTY!LVpQovk?E4&bLI31H=d z_QAiRwaMF3%~dPy$LLcxBKYYehQh>H2rPX-kq0n`X#AP^`7E{4Ix(D4Cw9ba(q{Ek zqBCM&o&4(GbNM?Z3@JIFCkIss^*}RF+pdkj+^+LAR-%vW$HET#9V=cqp`L~`{UzJa z!{}PbVybAiF8I^84#BIKl#gTzdsM3($Jh7VUoQQ`GpBVnabsln5l4w}Qt&-BZnpa; z4YPWIHNnJUwt-wZdGCh)kj;?S-`)7(Q8F9>Yt=gF?6aqQ)G*jl*Zpz5x7BJNN-zi& zItIFx+V(RQzKDvq|7Q8NWe!H4*@r(q0c<&)6?1!a`W#Ow;nSw30*SMLD^g?Bf?zcY z48S%*70W893XK=Um?iXI5;norT?N-C#T6zLb&nSa?1R(qm1ECYJ#eImHRawQiE8`o ziV-fI#N?}c*#`Z3ME#84M{`7mZ9@VM##ONxVXD`H6)TkqrQwstaHfXcn0($#ZY>|Q z?oSq*1~!xAAvoi`it>=ZE)E2vj%QoXMKM(kEg+5ui)TVq6w=}=+mGcN(cdXPq8 zf~{GhC$Wz0C!`(kBiT&XdNiV9uWUVP+E&~rN*cy$gkL!w`pgQD-IS13n|8EGTaGM6N0Ln5~a#Di>WC5F_X#8g@t@cJDzF*B!Y_ zbpJ*b2;Jz9i+>QW99D8loZF6Ry)Co)aj|E-bl;C%hhChBm~=1H0M@z#hhjf48;%*laa8%o+H-W~ze?B=82kt}wF;WOeYcHY z8%Rf{Azs0JV(AX*vje&c`q$0w8&G(|zl@>h^@#l4K=hVH-rb{6J-Us(@UgOC7#E|M zB)I%r!ve(buPVmV8wTge%|Dy+o_SKwZ?HXxDHLAk@&xw&qiCi#VL?AjwhBE@QHYjd z8QlfNmo>Z)SO$#0{e=o2d19&c)c)n&V;+x*>Ft1C`}O$l#mdSG=<;6p~=VIx_=AS`xy!<)Y}65_znFcC>TrL;;30EFY^CxoF%rlu*Nk z@#Vr5sRBFq21ZcfqeWk}I|m5RhD`FwdT!GP;KdNlF_GzdS?dTF*s-r2vyNz3?PSa5 zhOvwv-67tRY*Qcw10Fo!AYz~tdN<3s{slK1f)J;^h!jS>u1+9V+MQ#z^F{S3u^>yz zi<>IRzP97etlU8|_)ODtiWUe*KM=@O6%1+5!K+bFRYmt>gwG&i{pm)N1Y#}6sAP0E zU|5||=|?qZe|MvkUfWd{^+XZ7T6$ul$=TYYeJ4v^vHE{%(7__ngd65!n2uBzq~wud zhK5k>-)#y`8ZE5pSEPcEWLrkVM{f*PALjRaNCe8sZXx7!M4O1 zfvJ@39=BRttUF6Oksp#XSSvRX>WI}TR4flt z?CkFVD?3rS;@YY+<%U2Aw1-yuJ~o;~_>pQr<6Ri3gI4USA3<5c@JBvCvd4g4wT z_)`pVNa~O$t~);UnvcZGo8WS*$wkq#PlH$A(i(L5bt{e1UD6mSh>%3kem;+q-GP2@ zEPC^PYyy})l=w*C5oni4NFwn**7k<)b~uih1y5QvqD)Ep8C|v48p^zB-r(pJdm?x_!$k^6Tn zf%h>XA>kx2`5>Z9F@sz0l1g*f(ZK=ZeIC~ibkZF&Fw{I0zGD86?je7CxBY6)LGvzw zD3?_ZLs^oMByjPs>$y~z8qi}({-ejySX+ zDKr+Nb~2mVez(z#wAZQ0_ps#x-CBNZgIr?@)u8qBhQ8ZDP@De|tCdlhE?VAMFrtGg z{PjHpZ9C{W>=uL5aR7se5l%N;LwV#ztk~~lEvxd4@eBBTTs!8D578y*--4MujLBUc zt-gnPW5hz*n+m%JA07@s^CPcVs!N(Wdu8~S&g z*+l&4Mg}mYm#RzYAzi?~@8%ATj8$gXr|yH&i6{j&?TUOwU?$G%LS%w>pYxd>Ccl=9 zy0Xp-7tT^dCeW%Li-^Q#mW@q2O}?hbYaBuJ#1>_S`b3lQXzyYs$-0@zi2v5wpp8h(3)o) zBckU~y7lgX67~_c54-CE1oPnqb)?~z+JH^=;g+uJYiMo;c)kH34BKFq{Aw@k)9__E zu7|TjMGv8)m`4Oq(>+A37XR2D+d#5vr)E(_bA~}=O_9Bz4a%ZGItKV2o55v!MDp%G z8&oQMi=Lazacx|!))dL2HEn`>A&>%DLg%-;Atsa;{_88JI6&LJ@Drc7j%bkhLKzF$ zgc8U71ZfAw62guI^6&ywj8bIoblxWYa1wp;cF#lYyxTRIptizy~Q(P>eZFJd{^yaH3GW^Uv30p{5ad!B`0Bx*L8;S_)rqqY16lw z(3tjE^1`2E#dFBI;oj`aI7J0@K>!0)VW{^(F;mUN;v>GX;Bbp`Q(Q5$9b*;s&Eyn! z2WB1`t4;=+kGnl>1L3kZp=fOOeSVn=sX*o5ROyK)x%VUFP93&8K7&6>+X;m{n!=`uI&n`1Up)SM5&wG~b_ls&<|qqK zLQ7~;F57{UFWrvr(A2i&O)Fx?ET9irnPS+B#lujTN&?E@j`C6qe!!vEOS2G2-3Oxp zH}+2-CeF>B4eL_$4{hHmblvI2@CTaNqVy?7#Sy1S$Pb%wy}yr1dNn{UA0V=7XHDvt4KcUKX^+}i}^Q>aoUM9#K zdWl4ZjpvTHyIoJ;uHPNh_xm5{(pKIcKl+F%ytnO#WA)CxBKnyj$CPZnD5;epK19*# zM<1Mq`m3aL8)}CnoSdB_ylU&ZJ)G0}_Dx>eg@F+wY=!zEO!9GDa`M%eQiS8jw=Nx4 zxuaNSgcCG2DGHAtdaarR z)4CA*o(^1|)$5xZl1@@E(-6!mxtr+kQ1s=cI%#G>pP?AdZ3)coPr|)ccYv#vIA?WO zWf*lKJG7YE4L_#};#`3z3vFy{6wOKSbAq3kX8FiyReJ(wZFy;rVU0L{w>q5FI|2Mkye^UlCIGn8Cf2T!h)=1zue& zNCxL#U?sk_((#0RJ?^}$Zr9t3m2z+=YQF~8OXWdyq~I=lmCS3kl2TL6;c!FuOJ`Fb zTTZxi6rKI&KkH1+dIZq!f(RnMcQ3m*I>POy9N5LM;3v+Yb;-R_AbXayM^E^MVf6*v zCq|~J!K!)ALC1GRuER?~_tk(_S?%&Tcey{Ew7x77#UF5^peb(6hdBPc98OJQ;CGQY z=Z(gmqG^0YMtPf6MM_ZDbI%u6GQ^*%1`HH@OY*7ht%A1^2{48}Or#TFlli4xtnnOK zi3L|U&hin#ao+Qb(sG2;QBw`+n`5XTdGcCrd-^ZSU233mjdheX_v&I`XAAr9ma+6H z@V%p5kclwC$nCL3@t=-O48qReA@2OkOr*Bvn9mD0SAH~q88xJ**&~N zA6n>&m>YRAUc0w}T-nU>nqcL;`wltjL4C8?m=RC5E(8LRoy7xgPM-J{b^?OpYb=XK zaH2Veo+Xsj)bx&jEcwpZez_aMe;;PTp`2dLR&p$3BL^mHDcHA?`8eI?lyM-(L~`;ME>_MVwVIK4E40HWTFv z6lW`bV*nS(tqz<~yAS=;)$Q_|B$h+l(W{H==g^hsI@gej5xwaf zpqzZWIR?HgQZ))$>pXH}%bXnp+LQ`#Li|yzx83z% zwIVgbPwT=6xQ#dVUvfSkmvVpPQ4BAOSLak>c*>{eDfXp*9y|;oo7qb8}`QXo`VIKg9)ZRMgPB4JN=xtEauSIv*KObID1+xO098J ze=eMidpJNObZI~R1x!m9y9rJ*ld}O12moyX)ExZRlJ0E+aBk@4Y7_oAT4`+BB2DaS zH0cg=%2&rO55HU<8X#9Ag;YKZgCDGW{GYO}K?J1;hDk zc{`k193dHi`E+!BZz#8BcV)&_V@XRnh=Ez{eC#Hb8JWn-Z!4l9b|!MyCp#S~ZR#Q? zsdD(qr?k))@r_dfc8zhHg?0Y};(HZik7wE{6x1c_uM)tcgPEiU|{(ljH?i=#eR}7njt8!mQDEEJL$sR?Ij?htr$ywyD6jL&%Y#6D-SftjTOW&0HeWz)2W!(hcwXkguDTvw zgf1HBuJe|D4q?Z-(>)(LOw)z8G>AjdH@2yD9L#95UxB`$|G%x78A@kyck}Ufd=Qh# z%4iq=!}*f`rvQZc(r-qS@7PF+ZDj<+%~(Ib=^sp5R!}~OZH9jAt*l)d&V>QB-tzU5 zI+OPC<9CObOZSI|V_RD*LXh+0(Bx24==$$O+_C+RV-L~K;)Bf1kgazaL)KOXT0jV7 z$nf>SRl-tGj+G~+wUmI0BN{6!E6etP;UkIczfmcE;fAS-2yN*_v4#P1=tp;5V;2T> zJR0}jm;L@QFs=rO7~9o^KOsrc^nU#Bcg zo5Oh;j$W9COg>hrIN&tJVtc->SQ0uT`KDo!{YyE3*O&yvm_YZ#Gc{v51`^zb6=qj~gKPjaX#qlHL)bxS) z!03>iOfuh-8~6%4nKM2_!B!!**06Edh2)sqOglYE4UsPm?6B*x>6C!j{<-X6GXy4a zN_d9d1C{zICn}ljSbP3OwZ=TBI8NmmJB&`~lbiJC4)?0x0klt}Bve}lEWJkF3r#YO zY~6$Fx?Y>)Bf<1}A&<--Y_=;)vOLSLz$xaSL~5G5 z4W9s_elVrSz8raoj_>O51iOQo9D-ZlRVbRep&#v9W-IASG zVYn+g`7TipkFkyo}n$pkq3n%GIb-Jm`jE z7xh1q&VsF~t_{M6PC+`QL`u55yX(;1pd#JfA>B$zmo(B1(%njmNSAbfi}&LfoNKf9 zif3l-dC{gln~j!@>6)i-`IVJQ{ggefBP}Qr-))RRrOjbbnVzHazK7+$N5$`7(m{+4 zqU{UKL#6T;1?y#D6vqz$BCy-;f4-x}(Ak`MB=W0RR}dYe(x^QuRja|S=k|rK zF8@c}+3o}$#_#ntk5-tIc;{ubZXWcxg{Nr{**TkZZn4mU-!vDUO}{tferHB|AlwGM z`#5zP&2*Rj+T*x&CC0CF;aI!=+v?N%p4}xC!$${RkaFKV1s4Ot2v-2wB3$mgB9mQ$ zMbxzW)`qqcLf9vF)Jccx78D@D9!g9FyFh`%p*HeRB~m~#vjveP$V5e*_k#KGo9MFaaa;b zq!$6)#t(biDqIY%WQc4*OBu>f_*w)GJ^xj&Bn`pCN*MC-u~eIVj@Qh6Qym_0VT|>; zIANbDdidNKSETCrhDsC|SxMJJ6yAzExqpCE+1nj6>L8v(bC;=pogU$9?ChK<-ht79 z=QKxDFSq|%AGAJ#m=5hj6rBiE6{LvSasnovO%Rvm4AZ{^akMe3!4i;*0hW-dDXjQi zaBl0skmt{x*m5d$#X0S>Z$#Uc6)gXCX!auht~fv&l-wZg1a1tj2NIG7nKQBc>wNhYDyL@N#9y{1HEhl$s0E39|tzrBAH@5se=N3)DE zyem~kj3AaQNMrIfbDJbE&EZ#;ZLZJSbC$_ZFa|sL^6V$05;y|M2Ou{Q6EclbSHD=r z`o#E4A8(@7#QTru!y9Jt4Zey|zfQ1u;5bC>hHJ1VKki-UC)vU&u+IH=Dv9<#Wl@*M z;dp<}i^kpn6&%_U$_yhCkV&me}w2)zY*Y3Rik8_^R{Qbar$A+5OgC0;) z!L=_fZIV_ixt5Jrx^4K``@DC={rstbU-^euFH6vLOma@pz)VBk0P8_1PKAW7b9{2| zh8f1h9I~0jQcqm0-;ajd0ql~y+PuMB7Kz%eibd z#+Pk29hu^=deENFL82dfJ#8Wyu|?{(TSs#7^2KZQ-O@|u=|7%<=O2Gc0FGB(vOFw4 z16{M%RY1cEvL$54=1a!c_hyqE67`ySXSeRo&N!I{-;-L%Y71!XQjKDit=?|7Fl3(R zHN*jFMmYF)PW#3>5OsTOKicw2=wvZz<<5g^fJd{zrB^%fwOhV?J!yh}lGqBW1nfaN z>Ep+z=QP73087~f<(@YZDdTES<~G+l!DFQ=s7N#AD@+-_i++)f{oe_k0NaZqCyrTl zn^aTRQdc@z*l^%rO#Hjmx9Fu$vCz^~SgB;|)7y6#E>+>-n6Kc~#t67!=*011hHK$f z{J{a&!y_Wzn4=ZsB0Op88KYn;1S1QRQ6H#ay0r23yk5Ro47bQ{D=?gU zB~w*#P3xt~iSAZ-n6GvdkJ*Uc5J-7z_gIhjfnb8jCRby0qMka_+TLO3asT9dhe_iv zrn1t&I!%f_RQV7vrIE}dt}j@qGz2~{SU0n80XBz@)Rn6=xoazB#u+NJj(*z$Yd0Wq zeg|)1SY28s{7%Yv!Lot0CM$yK3L8-)4fvUctYhp(+hp*{PpZsnX<7^ zzi4J00hvR7Sh1^m5Rf6opiLSI2ay^8SJclHXt6xkuQ<9lhgt=1w_hIv1?n9zPfG2R z8o`WEM3+(>qzO56-rMobJAU17{nUKz&YXl47H8?rV)UmP@Xw@;exogic5+&Y>)PDS$4hH2k$&b-ZM6 z^8434x;)CH78gNdJ8!(XgosXa`SGHdT*YydwG_#~uu;%abzgia70HCly|vNC?!Rc(fT5^ivdqKgee~yf@mJ=j#@ipJ z!D<5fvU!&86)t`u9@``y#KB`)`6AxzPRB)1Wh=A{78g^eCX~)fwsfWI*-vC@y*;Zy zh$FvWuL5J-a^nZ~I4riv%t(`3N-uD?f0?ZZ6lefevU2nBS>AO47oPb;H?WEna4~Fu zZ)_y$jrj<_@Bzp9MGbW{EAMtx9t3kB{Uv$w?Mn`uddnJX9|BaAmiX)46q)z?5YApA zC+{3ozne7wjDZ$vou?7+&gSObb`f4)3K@Hpj|Eym;L9y`*uelyn4&aGOiQ}E6nozZRQrYA9^DvnPaKpFv;{^Pc@SSTC!w#I}GM$Xlp?+=0u zABwD+JUTFFaB3Fh=Qj(3V@6EVxYxhX7r>hENHLd{39Wi|A#MYFxAyVyTwtGzySp}R zhN(xnOX3Pv*~H@yo{m$n#BjFSN=0)VruskAz_agVo_5GBy@R(&An$uE*duGbOZD~u z)#_puFe=5!au;@h$OvytL3=C1arg1@%Tv*Y;hxdUXzqsQLVuvi9sX*3_DSOjSig!x zyzmb>XDq&R4}AG$-G~Fux3lfP=l_oRxKhZeYi%w^I@MR!aGR0Fgu_cAT2}`=Zy$KXR5+T2?j){q} zZ&Xl>sX`BtGK@ti$I{l^KRbgB@H40^i6GIUk_i=;M3$qd@#@~$@0qbADlCPXkgQPX z!mb5C2QiAaFLZj(S0(p8dW$P7N)oRA*S+M~vhevz#k4ctAfPh_MRfj)Ig2jLi^R=Yox7Ju z7S)C8%e;RN3wLtDK$rvutdV11^qwSnqqpLSg95w1_|)Zr9(wTlAsPqwcv?Rq)n;v(6`l7XPS_4xS(dZP=+O-x2!G6jk@3U3jEy`NK+0N31-u>xfQH zp|El~QT5B%GuA)F%@6=0!;5i13@QOygdmBi4(~JN}^$%;o09?#i?5 z>P+7#*RJZZtT8Pu5YmCFM)tM2SVe3x?z|&m%$TYb8v!N?#$N|XD#AA)9`Cp9?pORZ z{O=-XneC5T|tI~{SYd2~b&8;3;t)_xEz7X9K9W-1q;j#6W1Jrc9o&rRrv_2PFQ z==N@DZT&@xk{eB}7j?Ug%Zn}4(RLeTrNeSCFaD}Y6+YlkyqjG%HPK&Bv|j-hpZ<_q zwGOi9s=ROLu?_Ri7=sD`#Bgmom=G6}~#rM0oV-We&=?-%h* z7wndIm8TBEsXZN}!VBzmM+)ZWMSml&T0>8MkR@PLi{P$SwbgdJB{HeExn!8w4|K+$ zgqfOSd=ZseNoJj~Y16%VP2hh@kY7&UTU_1RTHer7>&qQS-TrfVbad5YGbXHj0z>32 z8Sk${hNPSqdzVfe2AzHnecUe|f4q1LHrxsOe+w}Gof}wIpS0ctz89qx#GV3MA0lS_ ziVO3)? zR}V%0A0jPS{sXULuC?!&*&_J3sq25ix=SULyIVZd8A`~ggxE7MB_rGXw9WN_DHF~n zW|VF<%!fk@+4-rpED?Hh4AhbgMPRXAp3icg*~LwO;HR7a8;*i8fTHb#U*xuVCrM7~ zSfU$}if}mg=2q}fLyF)pr)DsUlre-GgLM(S%t$zgR~$YK)-cN}Q=Zvhdq^BJVDCwmXs z)X}=5i}s6O{yj_yhMbA;*LISQtKRd&lUBRY6^CSBwN>D!Ml%;NjXkB#E7jr4qdC{~ z-MM0rN=Wp39cOvXHqVcrV`Mnw#ZgcE>tr_|JGl3A);9|Wrr}4Pnx#IKr9mIQF|q^X z6OvA$f)@Or*C5&Z!gs#(X{Hc+L)y@`{L>$GiRb%XmueeTK}FFuni8vpV;-$d zmS_H)K%8C*Q-Hy<7Z?)}ZgxeLz0^z^US9YC?E`#uu8s8%XwT{CX%el9bUqgL9XMFO z#+Ep~pzP&$t-nq_uLI<{$uZR{OtnB%4%XYx-pP&nB@5|WnJ-5QKTVx|sl^{h*%QAk zt-f0Q2ry52#n7?yDFU$2$|C&<#`kB>fPCcLj*pU`iPb&fo5~cQO+BTLLftzN4S~8e z|Gj?Fo50WUc%vI%gC|#uRL?kqy>+P*1ed1Cpfj=ZHM6ih?08?(d3Ew}IOT2Kl43)f zF4@m$`1A(^bVN7{;_5QYuT`Hdc@u5e95g2_f)A}kro^GYQ^?M+c3UO4-QC=t9qmsu zKnJd?Qhe--~kN z7_zS)&b_~xZTjB2b~HBw-8Rt9%z7VY4{@<8|3mhXR2wzN`o~#FIBZu`va=k1b3El)fsxwVjIxey<8-iy0M~ z?$RuE)BGiDe>pY7zwXiDPZZsI>`oKS!IIj|VD*>O|AZYz6@}ywLUH56C$fYFXTap8 zz920jED!annUo}AA7Xfjj-Vn?8Q$@B)QKFuAFOmOH#FT z=9ULD_hr`{7}U!&$_%((r0h#Kd2MpQRrh5y`*S$Y#Y>ehMJ|PN+J(TFaHroRHDT)Ns?IEU`+ImaH8&5z z8d)@-Ct#t_JJzrXfzEJ5^Y&n74)(7vdY z#$?8gvT9*4zQA!-fA<}k%gj^m%T2+2m4aq7s>L$Xz`QPNSTkfZY}>jSq8$0 zUolJ0n!GMyfUm_llB!&7(Qa~(wO)1Vp~MQ^Vw7bN#xgAE#IGJ0ACIm2OJ06Q#ZUdA zXkgIj0>q$L)PC+FzZOq*t30er8$I|18bts|BB0M5l51mfhqsGMd-B|pc)c0-+=@1m z=u+ak?qqp)zBfNVFL2xj$6}x~>3;Z=izB$v*U%t}tlXZ&WhvZ)&^Hg0thmG_EcHZk zI#X?t{xiY8$b-t0#kX4)!(~A3w{Z+$)5uBmb zZPMTqZ7V_3nrr1Od#-zX$%O;h@U|f9HhSe)Ge2755>8$SLz2I!aWOA;xS|yfjSoX6 z9Zy3m6mkj6UfD$L|~rDy%+r{Eynk+UW^)> zwKK-4L`@+!FfsU1-6rx!7*F9Z6mB&)j4wqVFDSNX>YA~9Pavai*rDwVDpl6FwH*08 zMI$tOBK*n{vipcH9j$00m<7gn_7*_&yCh~9&N=`fcu#EYktBnyJ?Vwy$h@RBoL!0V z>ZRQ?hb~P&cGz8UEREmdum4RjF=5Z3*xFwTD|_H^&qHYb938XwRBrD$Q`fW0iz&n?X6bXT*N_FG|=J(Z2%h!dJ>^lO%&ZGFz?(r)luFCaie=jtBkoBcia zYos8x4(AQ*L^=qrTUa$GhyIJ<&L|;5iacvK0x}mRf$%rx+rw#nWiBbB`&@wf^E(7I zRLc5;v6OUe&*A63khRVyAS$=Mjs04wA_OjgH$d?Sw0JF#)bdpFHi^DrFE&@Z8b=`w zDnggfd(uc36&xH~%ZO!wHrB3%@gr7M01{`*cYl920lXhBNDqD>4xLw_bX)YIt_F3D zyq$fT{Oz8sw-)#9O89Ew;p_1(zJb}Hv9p_=0L&XW;@k|>okA<(gxW8zWA$(9CM$V+W?;#m z*;RUTDqMC+zTL$kVZwFW8GDbKeov@aFlF9c1QnsgiZ)y%V^A3HnA=A{WXA0WiZ-zO zgNXIrgK$V7&Op(2-M|=amUE;1N^R2Y6Te?Mo10LyO6PZQYn;cO^(AF4qe*?2XjBw& z+D#AvIDk`;)3#|E<&q?Eeb^sLm>eRV2AxRcuI??9@BJtk%O<_&6G zZ_;m7UQW*F-}D!v;rF&+F*#+w&g>?mL2NcamJ665c`;+dJMcTo2B7XB-7-8q3lzV~ zGNlFAExSCWX+ss}wK7FdmkwsqN!sx(T_YIhpzAjT?8SuxKBRc5QYBU`&r=0$<)CA~ zjgn6#U#zd^+Wx3TvbGTr1CT|*;IibFS_UfLPx8u|7!r>so|lyH-rNfO>%`S_Bjzam>dMkYT%RiK zU{1tZKWA+dpy*6oC%N-Q^Q@<{uB%&*XyR_>sg1ack{S?<&}oBLkT$| zA9(N+K^5Zc7F&M=gE;V#Y;1gu(mA{FF*i4V_ii7=2r9*zqV4=l-cqQt@>n6JhDt7! zMO4wD-Vzw{Zcg_&2PZ=jpd)2xOYfbXok5VUY@_8>+`!}?N7FR*j-P#jOlJR@(9Rdj zjD+N8HR7I<@f@I?e_Dtr$SdNsSm-hE5}ToXvojO7&Istx3jr)n=OKE|lh({GXa!Pc zi>6N0JoJ)*nKJT&#Ki7lYQC-)jrWC*$T=8|6d?G15fDkZYuu9-W|E5io?VqXI4Dfe zSup|pVBm)HHqb#(88tw3DNc_Q94ta!{VHpd(zhP-5TaT8inL` zE9VE3iw9xGF)5cENfs7a_4fEAYC5X8s3nEeb_zNjql|4{Uah{~7L9UiXiUR7Ia+_z z<(lDJ*uUWB;n~oBp$#v2WHt_HnVJ9?@f*Mmy4>%RCp|#E;^^=&5Hp`!yxD&kQb7?$ z9Y(WjaPh88dS2T#kg1Jzz1++38)6s7ihY_?Y*Q(qa`R_la0bPTFjbH${2R*;tb9{= zYNXl8UmbxW+wA`#(%gxJJ}t)*#?8424)s7AZgnkztRF7aOXaKHHapK4*&JcZ*t)aH(Q`OqFiHY; zrsp}N)#ZQI9`52$ATTtVQcvAL5pCxxyj)@9>``L^7Fw(G)ugQi$yyEiqW2DfgyMWO z|4pB8&#Y!~Z7rM{?C^PX)z7y(kRoJ6(IcUL#e|yx?wWlGu%h$bDp=xCqQnqg9$*7C zACh9xxnVqYryl49wpP*o;v5yGVc?j4d36QYGwTIvAuc&x2A>N7OPe`_+bJtnw()%Cf!088KvFE+g35?7I;AGv@RgyzhP#Yr{{h7$u7%tTT zBA6ei^%1GU?IMy2R?}a08KZ{u6Z;kJSV7sFcFB^ecy&a2$;`$rCnVj6JAQiMMF=3B zN2HJyOhm!M83bwbE5dA-xA9IX-SdfZh}*{}@8!mxDZAq|n`(8JC#^cRf$PA_5B$M+ zQh`-7ss>cBCG@4ln;M#s67SLj?<`dHnt7*>59gRIE|aJb0`w(bYS?Tk6`n;@2tiWehyc-C&q#2HFf5 z$mFueF?hNEyzrCpGr&;at@ImkrSM~_z!;@&r4r3S((F>KUG=_hASWmHR!iE%|8w8X zh8I|A2c;9IIKh$BF5odOFN5pct>LRrXv(jwxJfa-GMLd$rg!`serwZftNo32 zhUB`8BXZcvwZblSY&yy4Jxd!rKF(u&*YxhP9W8y5_Q2{hKTz-t$j5Jgbub&lQX#2x zpMvV#p7*og0taP85HJFu8zev93d!GXcMKj?fJ^+(*xq%=9quJ);5T#&q`-ZWOD0wD_gO}2V*f5H1&+2kB6 z_pm$KTQF!s!+LgicL%f>IF#fBs_ zHy>0)L0|UYTKrrBGLEQn0MchnDxoIR6xP?LUD_P5yUrRIG(Ft(S2?wh!)DUIU^3xz zMjC0NRb~kyyP2D6UnZnlqAbbfIO(!}EvILZij>Nrq$W_lIj&bBE7n+GO?1I3(l#`M ziLijQ!;^6y+FejCInN$c#(u10`jTcae9pu3_wR3G*Bu^?mn!X0&B$MrKlr|= z`hlXo;-6gbHZgCe%HV2_7(X~$uKDR;wtbYk77sE{Y*Pjz65Xj8Q&Tzit*P-o>Rg7m z@@-12;u#hbN)OUh1*4mYGiPWh9#?*yYr8Iwk84kNR&F5L2Hs_`Y5q_!{kwg}_r5}y zcWOEYo12K7GZ|pT__IJJ!_Phq4jIv*KP)lQUIdHB3aZf+s-%TBfzVWS)4VJGBXsJ} zt+BCjL-nh7h8ApvC}Bhd71ax`TN|j511k+Pye{_9em6F)RZwiV_Cpv<;UBu!P8u8V zGkHe|2Qb3Q)sT{u&D!_mxwuKJOj~}FVgE#v@gPaS{u~U_p7@xOK`;x2=#7_E^}+AW zX4Q`kU!Cx4R~lqYY^x>|JVV z*SC~&4>D6vER^-IT`h3mQFSC1E0kQc4F+ZpZ9frQftC6isL}BjO0T4eM$0raAElTq z0%zMuZRd9ef}1N zas`I5WVbl(*RpXGphB-WI3*HZu?sb!(Y~I~R8aPW-Kt~Sc$|A7s?Y5V`2&}ieIZTm z<88p&-Cf=tSwys|WDzmvYm>DUR7`60N*fi6&Q6i%l(FislieNEq+h>nF|9UBr=7K$ zKl6BdesxbW6xqP+%H~MKF6ol|@bwDdbOsU>Tf;bMnrQSM6@LlBEL8ofPg12=$L)nU zgZVomG40P|T~(5hF%Mk1|4wn5xUmV?W4J=;q6M!AEg*C?@i!#+(}PtQnwd*hKwWai z_$2HxU&{!VIze@vuk)io%-TSE*YoXjQ^jn|83JN|!PA`oh4Cq2M=%h^Ep?S?aC~rg zG~2EQI{=0ktQa&zgsQ>(s#^(R#Hb&Qrk%b_t|LeD4INdD&PR?HF}2CYGviUf#Mt$F zTHHz7e>5Z;9Z4X*;>t)zML&Nbip5Wkj^Xu@!<~%njcbCeTKMh0^WzS_qQmm5`gF$@ zPX4@jN&RYwjT=kE(atvC-4zeyb%z#=lLD|)5(`TE1jz-Hzg}AruMxlgEi;cN)T^A# zHfL=3zWl^gO@w(CX|gI_k8s-9H|npUs@%1$M|X>R;6NKRU$vr)#OwORlvB^}tQ;B6 z^>D6L+Vx4ExMJ@QoRx{WIh-0y?}qAyjPN2%rVgS3r2Hp7VQ`4?+-)&U>yE1?V#&Mt z`;-~azw>Sv8U9+h(?+u3F}ori5lx%CNwtiCd=Id`*zip0U+5X z%L>fLorY9;mvhiKF-`h6xaxXd%#8Hs*jMf-(%auI9*m+@Oi;1?{Pjy>8Z8s%HB5L8 z$hA`GpjL>d@R9)Ht%B?FQ{;*rrmMnM?ZLxYs1`)$o$Qb)wVS}U=maNH4*%crZRht^ zJH_3J%EcNNLmHOTpa^M&e1tNMF>2zwkDA!&tOa|Z*pJYi)eQ$^e|d6P=hl@~_m$q>fN!gpc%2aw7C7={w){ z)5Ev|#htRRrL|LKA12Op4-VU9{H`=3y=OKfew_1b`fDtQz)o4iBiEpZ{3XH zS#=mcJU-s9er-zjxxxnh1yt|FgZ|utF;ijG+H`n_AUFc0L2L%yx)ad?Nvs5l zy7E!7#rYJyZAQyAWxpKg$a9D3KvoBh5_*jIvOPQET=?vC zG|M8L4Nf1UzR5?vvoL7FJThgvS`&w_+-qhd#n{+MJTi-sQp3{x=nky{_~J`+AT;1`-5j7 z+E#*~njHx5$e%@(^ZraBt7$Yl@lK?s7ayD;lmb6x5p3%f$|;jN%lUq_E&7Pb+k$3gDz8t*J^A-f9)23iP&Ngu_P{E4uy>FAJ`rxz{!qz6qdD3 z)l#a{|BvHuq<%K48r-w8)}W!D+`n@O3yKXj+3BU0Z7=N;*XV=rVDB;p1Bnh)lSc96;AhQ8+mT6ujf{x zDsf19Q{QRx=&c+sW$P*u3ql$oR+qQ?RlNubP`D{!%Wc3T(Ie$}ODe5H6_kAUaYz20 z0Nsuo=sk;seuL3tyx77;VdhD@WDhV?F|%M1%agxM{>k=Z0p7R#M)-D1YgXuqT_WU> z7?SzY>Ps!CxruEeVkOc z^Frt(KrlWk-$?$6e_Q9eCx}Ko%@S+c-Yy60ioAw?>TSV&p%;;-8ozXwq=DKnr%93> zZY~;;^7)UF99Kl;_nL{izcM4Jh||B?P!_&rLfei_HZV&qB{{qizOogSqVJihDB&+! zOLYBpubQ^Fb3M|Mmp=4N$}EvUfRyWU0F)liZP^{OVLZqL@-_)$xtfcw0zaf$b${QtmX8{ zbzRGPedfps3}MoH&C1c zQ(L}o(ByAO83ku-_1~^l;a45JTw{q$2GvxylR4t(XR$#y=|`_iH`sG7}^Hs2t7ln|msz zOk}L9wy4!;G?WUCgU2$0livuM^7FY7$HhpoDn1y#;|POx>A^0h??h4^p6*9vX&G23 z+XEy*C*s)0gssJG34ch5^~$C*&-~G!>C$nps^T}dAdutda0T{8J(~cIQ6{{%UNppi zKHJFoK&hiK#wYc^hx4PL#ydSFpvMdE0B?zsxAJj}5l12t1)NPV&Kff|hjK&w=M4jX z&jc|3n8(F^r9qDF5>~<$&*qV>!-{;Z%Id+NmFTNDC21kFQ2w#wh9-`SsQPcPgisbE zbiP>f*r{2Rizg~_u+`%jZ0DdV8yJ?hB*w|Fuj+(!NEhJ=ucK4Z|1gbUXSXt6@AiBG zdKtS2ey4XqFI{=5ww_0Z*jbjuI(#l-^v@kzGQ@ z{wZGmkPTLry(lU`6E5aMM2s#Q@Hpo3Q#?)iabZVdK{d^`!<(Q+t0zMGiQ(IqHU7{R zPgQHO29a49^Y?j`@jjRIY;LKW6Gt=%+Rz()=>29l=m{4<_J=7_AF!(2AV zPxUy@qF9v8!F)d|-5|^;A0{7GB?^9W&+~+KcV1Fy;xX4%W6+t*M^I==S6(A33~wic zNSZaL8R;F?O*b$<3gwZwT;+F4$~MSi$XfiDfzA6I*H{4a0TplUm5i{P(!2ThI4E## zmFHQnijG8E7S*}@Ens-zIFSi2YyYugfm?_koPlqNMzQ^KOU}sM-0$yeT_{eK6L&Dz76PynE5Cn(J+puki+3rhHz>+1xgrr)_Hc)tKIw z&*Yx(S_hx6^53T0-O9m^-=Eu{>w2w-c6bVp#O`muOC|pd{WtXp5Z|mnEd(O{_yT6I zTU})JuG~3^=X58G#K9ue5JrVtdm5PQK%;eT#L)X{`APERkXCs8!mDj(5IKe@XYbPrZLa2n`N`Po-JjPGl4*@;! z7^mg^{ncu7O{KWMfe0!*cW;C7Xbsc(@T)UP=n1$)QU(A|s^$bANKF4n+ypo?BtMLj z4eD~$0cHw-SA)p#u1k7W);~xe96LGsNkcq8Ts`UZE1~pV8L?iB%;@Y_2L}g&Gmk6+ z)kc3gf+H*kViI*{m|qs9{0oF&RPg9__M))&n&k zblQWiJ zO|#hSD0Z0e2Xq!6*G7%m0;HcPa9I-pj3t23~wY61pF#zQh7((kE zzRP2kOT2|ta5-#z#@!FJMs5mYX3Z}t)7N<4Cy7_6qxC9K_WQW~-Io(gBi@0}5qTb*Rv`pgL(>aCigNt&>^%0HKvshJ?GxPK%a z`1-#oyY?C`d4H2H*c+eqEuHH$aUO9o&5<|b>-EqIX_2e*BI?=$S|IaW0myyrzPc<+&E($H=_V*hI^V0%^*2570h zmB@=g)->_YyL-mp{DN!fwRtPE?U6aHwg>AwnNfNq5<1c`lO9pWI5K7PUm_?3J-~ec zH-mz>=(fAHd{kPf4`50^L879;m|_tFpWdQFJ62|&;QM4y(2*))YPEd5y5zre>dZpP zviSTw&Ua81Z0Oz>Rbwv1GSQI@dfKdiTT9TaD5Rgl2r+)l5_%STC=p9GgiDKy0Z(LW z0EVbYgEK5Hn;+TPZWPy&?z$M<#WX6L53}r`G5dp*6$f=;tj!q%HsEi|R~FZT0+oz9 zm&|nLB8lqUivdqrT)P>g1O(bfZBSlT(enMv*A3laPM&4g?E;I-7eB+;UIbzh z8?k==VMRnCpgmT%z=&v}Ev1DxD1M2hoNWA4=alRh@6dPaX1vuCI~J7x_7C`gJUWxg ztwaPhYZJQq!K9%+gbVcQGE|7Nfz>y=cM@$0+SIM za}~^|m=$q*Yte?bCg8XXdgRSbFAWCa>Iu=*M7xQR+7a*r$- zrE(G0sTLdP;MUzN+ZSPPL5`f8wLLdaagq*;$uzJ zQ*y$)cy&V1neb%>0ao{iID3!oI711c0Q)a-_^7-_jT7k2;pomv_;93PaBWKQp%&ms z>03Nyr!vg>uGN#LM-o$q;E`V?zm=z@ZvQ+CnPN&n&)q&ONE`n5;5E8--W3!tw-yp{ zp(0@GA<172{jnwvK0*4)wPf~y$P|3Pjgwu;j=fzMFJQI<&iYD^Ty1E)=zE8`0(|OB zFh@4Q9j>K*+6x}X?C2yV%MLogvD9UMlVE7Iki6?+Wo5ZLcJPe1sL60`C9%59xu<<1 zuf-ju2l6qf0tY;FL)&hlN#l{Amr|Jmq!>dM0i{lqB$41e7R;kQJ-zp+Z-cn?smh?a z=Q;7i$Y(q@J`Qho5J(JP$xr-}(F1iVa4d)=CURIb1y<`Dc5blZM8TLQBm(z^SK94U z{DO7@gm!4x$@_M_SsO9VAAbA%?!l-EwBLP_$&V$xXF83QwSpaju^rFBlte`+?{4g{ zn^VjD$o_Howz$G{7~}UJ@`ovMzU^nx^z#xy=e3lAuyLQ3GELIb`&6qfP#l7#t7bs# zyLFC`Z~n?zFVI6ObE#U@)laM0U5b~3eZZsM!Fq*XQ6~G}tu9fQmU*s5kwIMDawq#O z5U-YFe*%KzTAkxh6u4J6(NNqA{1_%f5fA@NRu1hyViJ0KlTjPC{0&B3sH?U z%7RV`z8pmwa3&+8w=Cfc^%h$virVWZN{%g%XJR(_JWkTa(#{fzf9)pBD2-(7`=1DD z7)8CqZf`a*Wr>1qff!u;W-q8P?bD~D>rE5NU-q9(Jm`Ri!X!Z;TWAVHiMtXy7)F7o z5RX$p+5c_a<)qnH0mo|TUS&*YTEbuH2p8%Bm8vv{rbF0UUF(^re}#z)$&0bCM_NIvt_`}Dvp3k+-nTsw~%$n zAa#_y@u_>i8djTZ9h2OL=eZzx+i2wMP6rA*dX?iellBEH?4CBJS{O{cH2*fhOidz& zR42Fj`Bdhqt#najuA6;}8fV@_)MqBJ+@(z_y?Wf}m09(USD!r-M+`po@Bzjq3q@jd zMAn`zB5jmlwCs5YcC80rB6(PE$15IsxQbf*hw35ohDmX_f>G2&Ezn(4;{Azx-RdrsC$;IJ8T|pHJlz~Dr2&%8YtDHt+G{yc>cw!jIGY}Rt44|X5@%tt|Ow2n}6>1o{ z^7HtryA5`v8y2$S&z*JS3>S06Tf-L5SIs|OFxrkHGXjUpr)HUiBk;*jQklzN&GzEt zB)*BQ>|3QEKdz#dA-02$CC%HioIz*nwA79w@zkoZpzovX4{gbA9(r2BzvRvqE3z-F zwO@$)%~psZ>Ld)s^2gcBWq@YYa^{}ofyqn3eEvt-;?!53b)+8LYzMXf?Zm1)703j{ zUM0&w`p!^(^FuVP-cg@o2!AIK74c*rDx*VXLohuXfUS!8O}_>`6nXN=lAvM(*1{^6 z#fmJ1+-?f^bGMg4zO?LR(_L?-df0mr6N(6R`nH7NVzQ~|w9e3`H(W=pCTtO(eu6!j zy9DR8AuBC|_saT~O1Q^Q$ZOYDvSQ3ALiP_CTaWn)QTfx`W%0c~u+D~=Y{iCpxb>7m zn*$V=b1L+R4tIqIHN@!I#%LHZ>O!el(aq4AhIEw&w>k5zy#d;O8!}zcI zUahqF)%t%yfQ+!6dzrtwGrDSezX@Gecc$M)_y(yig2Z7>YC9xJL5_v69~ogy=z+hw zAov7ZIm$d6_|cK=%`wP1;Dn)=R4HY6j!BA6`#lnJXYc8n4gIrSKOS#ipb9@;SAsM; z$MK=@LwP4>UB8*_UvfbY$izCWO19{5P)tAc!IKr!Dr~w_4FWO5%W_tW2qn-LvuKMI zhRN+WV44;CgEX2I;e}BRNBZiOBZ`pcKln1olT+d%lv1N!HIIWJf6u<7vw%_fiPkc` znhM0(J+Tm;+KTM&is2iD)6Lmx9rK}oY+tU>->BOD4%YGpP)F<_Qwap%?*>Z;$j-N4 zfg|s>&Bx^?Q$CD?HlOekdKn$=vllib!dWm1vmJLK&2deCWW@vaXa%rO^2;v3@%Z1W zIl}WE?emV1br&+kRjLrATzp%^3M&bthM($q-U0TJ+sGMk;L@x!`|`d{L#-W=VQ6gn z`09(}qwVf{2Bf|12>c(Be`xG79+mn7WC>+kr#XI_exEp)o4qrxLGr{)iop8)V(;H# z@8zZ28MT2rxbIvbe8ZFSLdopVVFXpx5B4<{l-Q!X;-4_RiXsI>pNY^li16sDVslOj z4Kd;v$#)BbBDDP9w?z!MVY_~q-jh|qlD0QC0yhSQe2V4L@zoT1nA7rjBvf~B6c|B8 z32qFjU?PwD<-MXWm}P$USO$i@kyMwr=y|AQY>->0Ph)O47~U_o-kS`vtJ3&{wUYNG zG>uoeUD8rge)rpF;%S7p;k6h(TpV8%Y3zP2FD_1cnMNc8te@Y*@Novxnc&0{i&pls z;o_g)e@gcwEl~W5c7duQz^z$R9{@>FoUPepPXDab@v(DFrTGcj1JpH9g>!WlRs9ew z$dbJK{oZ1~&tAn_ATVdKY;CKJV#S>y(a~c<9HLW0{z2D$c`~j;>L*Pp-M|{k`zYN>G@aDQJZq;7mxO#Y$NJpOEaYJ?tC4zVK_u0(2 z>uUouqza3`Bw~N{p)b5rc|^+?E=zg)uyO5iD$cKuW31*)>GkaW^7-3Ym`*E(^oMmM z5f6|&*J>8J`$8t!xocC`xRbHN`wKezr3}Kj{_?_Wy^3Hg2#RLa>2X5U`O7k#>dz$);l{EJ#eWdb&S#P_rbv|Q7h_PfL4N;p;|;76Zm<|I zJ@Q&(0`Bp4mOB_>Y-~`{kopLs-rnY-{aM(MBj1C0H%W=W&HAwZ=tk>C7zECxzuT0Qvc(NEaAart7 zowP%#5Bo?gTg5VrpD2I@EeZKGX~Y_x$WHZZn$4R4KUE8d-yUsOE=1NGI$jy%REHtt z5nf2!q_r#hcp26;{O!=d+Z}g1zHu)8BxNhq7t8*fO!OnM9I`y6Qm!ZTAg&GEe3xHc zSZ?M1G%(&9V{BfHD-G9z^00*}<0nu_h)2ELg`42W<9N7LpcWb0iC*_tawGqQ zM6FLeSRFP*oQ}xd0f&>Vr7mc02L=@oU*IKsS*TibSpEb4 zGS#UUpcwc@BwXU%-u29vLqzK(U;^Azn&~XauIq~^Z6dGMQxd3?92-+AuPg)@ zp3h65VPS&R9DBTrN8Rx=^u~`R=#5IzxcF2IeRP;HQ^a3vBut0{eIMkoU}0a%5rLmF z!ny>wLWsAiORh$V3bS8*h_NUJ?I-IXl4+Oxjq3yHs|qT(okrCmChw0f!oK+KG9h-= zTQ%Z7gT>qBKULn7ODo@+WU8ELw9A5-|2~@LwsS_}N@K2vMzr8}BvnBl&8D|e@!YXk z2nC^Ke%~49G)WJG%rVIi%e}-{JLtLFB-usN;Xi^=A^xXhH-;q!O%2PM{HkA9l&RXZzB3y8nbx2^q!k6 z?&E5koH*J^WY97^i^TX?e3Qiikv+*FFg~jWndHO* zOfm`h)Tm2Zc?7~VT=U-1dnp+r4j(O`2(n<;EB^QlTQ`LTE>Rx9bH$vM-oDz2$2MC{CjIB8UOdho6 zpW~4+r2hid)QFg`;c~6dJgob}x3%dz2Th~B!F`p^@O6e@<4_Aqg`L6{5Cy$)c-~}6 z^$Z&)aPzDK7ZzOZ?iJVqT1bW=yY-T5u`?u*9}XsiDjD!jqViNRsc_U2AJheVkD*s+ zlPaCVpKLjzBE0DDcs@_#WQ@<)ov(RrXMuzPuhWHKulRJMz~Q0m|2R6!uqvA_3Lm<= zJEf#cKspZ{(%mH>Qqm0)(%sz%NJvPEAl==FG%q3D-|+E^Ux$n5JTtRr@3roQm+k^P zI;xEWcR;Dns99_QML>C+Mc9$~F}~pU2X*0W=2bO}HV!ifMYW<)FQJC%q#oy^VZPF_ ztQrx;rOKIv*l0}8U4m_-{&zsMC;#e1Bdqc!d}=_FWrT=BI!C`fw7rEZr%N`y!XxGa zJu!tA`3{Y%23hvtM#4@pZKyL5nE4MmXc8AnpiOilXJwQSovFEN>3b&M4mIU{WCZnp$DYk8u2)%9@n!dG!W?_|d=?=ClkL z>lV+;;kqpnrLLN5~(MjF*6@er^1{rv&8cae?5e=Lc6)V3MFgPbX3M z3V?NRuA5}cEIl2@?I zfP$9tdV+EQNnD%t4;_m3)@1>d!MtnWx~%4zLCN@6?1cJfN6iCM_9ke&X$MQyKPAPA zfw7-T@0$!78a~l>|0EwIz=4bLqSKZukjl{=23lcD-a+*&A?s-MtVx@wC)t&Nr4-mb zyQ`0kx$>%+i?3_jf2x=8+HOKuEz0nD^jfRnj6#OVn1w?z6hzL0G#F8VA308`so{#!xsoNP!zR=A#ZF$s@G^ z=6{e2=c306Ev=t8j5(Ayl|wN_QJMSEmKo_nSBg~9|Dm8k%Iw7ma0QIO*}jDR7dCv^ zxNN$W$$;F%`GqUq3Vbm`#|hZm!8qM$@5lJN?Uo#Q-N#x%;&O>*u#TvFLRaoz_*A~I zZr=_Bao5JIx{u5!#H+(yousEwKZ9hviKO@c4*$e|kf z(Z5UZ$&)}g?6UT~@1GJ4mbsE2l#7Fe(Fm>yGTp1YxM+b_{aQ9!XppfGY@)=rZmpPj zZ4OqeF0{h?de^2W=hnV7A~LrO7n$I)#!7MH;!*_ z(%>j4pMs5Sy9?4_eUZQJWB{K5I0jyrVw?&fCj}^m#>7})-oLV*f<$QXBB)&yB2NC2 zsERMH;*eSjBAmnUg(BLUz3ZKZvl>v2c%Py8hCIPC6QSKUHYmWB$uv*pVhATOl9yUY zUxZ<-!eX^$pO`2ABDcK)OUNH>^6g(u+aW0)-DldA+dDduF$0Q3iPprUi$6D@U$4C# zbMcPlBn%Nf8)8xBXV2)Kor)zJSZ+n}BkyT;OLI8aYUjX7H7}9kDr&;{t=%UNd7HP9 zZQhyRtn$izt{OoniXm&H&1qK@qj;U&$bn@>hM3{U$iW=Ms6NkS1XPRQl?*y~Q>boa zFWR%Su~QIvEpaY^I!eu1dC>C-XgL=G{GhQ_|D-6)`nmRAHS@X)hyA75F4+}uEraXB ze2Jdj?)V&NX$=IHpqst0v~>59lFZ?M7Oj#5TSWQ+3){|L1elIug-XT#lS9h*>A*iclqyvDVlu7k z6!)pZDzLLxELr!`OC7i$=P*ti#IQaN#vK$-CXo=1*Sp2>q)~^OEr2` z%T_e(Y|uOZ0qj}ekpO-{U}U)hIIz}+2A&M18#Y7e)cBGO_Q;L;`$m$?!sp^p^JQ@lIQL#XXt7o-o$Z$OdH`lkTf=G;>bJ`|I`JDOb^sl+~>g=S` zJhgg9oOi&R>)x(@Hy;`F%DjLU`XLUn7mlH;#^(`?w7I?9MR+f=JNsDTY7YNvgo7eY zpVBU(7mqeCpsoZowqE#NY0Nl?=E=1^+deKZcd0Z$r|a5yi{4)~l=2w9;WSS_`q{}k zQAs(EZ&;X1BQ-dy`s|}s6Szk^Bj4e^S#!`~V`loDLrPdwYu;G%E&VcKF|39trUo5M zA$G7L4DqQc=jj??=W*lW%bWqDXDCekUsr`&qY-qkCUCMlm3@^xuer-7FR}eijE+~9 zkCqiiXiVy?rEIB=KfT{Ly$|pug$PzTlf;?9$+P_?h;ZeIG~R}(o34>dx*0cZsgS4H zgpGa;YEqu{;YjbkU<&bd{2!O#ly1xi=;TEQ#AfjrFE!@9TR1IY&uB0U1^#;eEjNj_ zs>7I6r4tdi=k}bOJ;vxK{U+h;4>PsrL@|Ov4uiGwjU+LQ-aT#S3B_fO^%l{HNk;Cr z=fIa%NUlpEz08L8LMv1axSO`co${~$P=+1j+ow25R}X~2UB{_=XxywcZ6(KS6GuS7 z1(LzWwNI40{8`SpbtgZU3;Q~yURvo`4WL=lUdwir*g&8UT512unWfluF#&GxdsHhZ zm0hqBU5YSmM!HtNR*=5XQ_KY6CqAY(c9d8VnH3B(m_^@Y?*F<({>0&t?%yto6RoEf z1>HLBOP8MVLRZNTsNR~dd;dzcX<6R)+$I+{P5g94WV#2p6Fcj%){qdmzwQ5MeEaCd zW%OWll%M1HrPcILeja!+4-dkjPTF3!SH0o5$$!!z$dSLqJx~@vxoG>7zo32vX zyAzT3j2wh$`G!QeU#vy4@_33HhR)q>NKbiooo#FwQPBgf>3`l%uCw}-;RpR@oWi6+ zf45j~RThkxn2ec!>+AZVO03xn-96s1?oMi2ak5Cqt3t~dehj2bZ96n%uHin)Mq}vK z9ADW|l;Rn@8GIe<==c(+%h^rG1}Ywo+-*_anhLMN>8=cQE-VFE3QFNgiOJd9S)`^R zFgc7c>{>@U*M~--6ZzV>GlSxCG_WEqUwY&qkF}!Gb92M+_tEaYM0<1nL#quYJ=K&C z4?sb+d0*Nm_u%=%GLR~4vl*V=e?I@F3T@)Xj_7hI2s;l04$gDkd45>l=tA*-KnSaW z-#0f$xFDL3$-b2Qk#XE8ypg3wonl}sS*4+asJCdl9rI>ykNruR;Mt*;>|IetB*8Z= zoMnqyCRj~KC?0-t0O&LVfAIb%PRK9O63yp!-v_scs5eX<#m&XYzmddbt(m@OhvQz- zawZ+LXeq#uaCm#Cm7m`VkQb*F8n~hJ_H}c-};7M`tcWsaoh(!dSZH!LHsrt9uqSa5oIZZWdlIoM4h^XJ3%q^suFpv*HDEj@R z$uS;z2$H+jb~b{0&RUq&?{t{iRDuFu;=JMP0`?YMyYy(Z*t&zqTDkyPr>!qv00KM3h!lfCUUXajp zu+hmxY%x-*9Vp@#3p%4!yvN~6UST%2_bk~OL?!l?C)>+lDi3ULAw{bHt)x^eiP_?X z3TZ?#N0Ty!4G8&S54};u7)Ef~jj$PQ3xSJRFV~*`5URNG)Z|L}Zevqk#%jp)j9O@L zdDy!F0Ho)3ecCq&=n{&g^kVw^oMGlP+i)0O)FqRv;15DOvR=s5BCaZ$IMsoknQ z-n+#%HQn%fN)mY}0>0aeC6yO71FqM8=T>71<693;Zq_+Gk+6A=tIXu}+9x3yy*n@s zdc5Nsf}TF~umaLCa4}Ty%H;Oa&ta=UonDQlBvHqp`Cbzmt1wk93bWk||DOsM_*J=c zE|^<#kO$tBWjI=G>?eZMD}7mVuTa^6iTMOqMpQ9c5hB<$qZr&Y9|fcjf9fm?jcE?C zit^B$dKON;MEqYc1kVQppiFK;VS&i`@|KkBbWKvq~kq0hbSeo067p?Y&jy!^Y$QckV^Gs3d+w+q7;>X z#QOyGln5xw2*gO|lzQJ=X+x! z2ssDIqf&mCYeRzd3YJ4)Fh@<1s7Z9KtV~dyduWL7hMk(1U!tg zT^Gb;P*75`D8g?L^&DFC+oF`PArLEAg@c~vnD|as!2a&s;br`)#^ttcxWmt1JO@a) z6`K{*5ybeL<|d;brcc8;ZdBqRhXvxjHO8?g-ojNbP1ukiGz0bn!bD*5xx=eE z?ZR9MpbxAFuoL3XE_l6V%e%C=C{g(<`A3vWr5DX`1HbR$(I?fk&@j)C3klUEU*^7L zoV`MO>%Gepz$)_or{h8PLO_k-xp~HpC{<}HN9oNx)QzIZJ+vl0*znQbM zkLvhIgT)}9JR(@^!jw}SSG@Rn_w^6##GdiuSFoog#FH>Pa4H5IY46OONuvB~j{E!uuLBbLf**^TPL$ z-&Tc_ztPy!hQWOT5a7tmBe zo*o;Nm;ZOZe!$ikkHD&F``7`$0lUkZHVlB!JW{!8E0Ur4=x;c+e#OYlEFn;3MXV%7 z$=TE|({IaZAxX%Bgrj=sKlc~5aBBt8C=OcuMb1ma@YDlclm^0c^3&eeNjo@r_UZ3*?*UvUP(&)Xl+(1 z5jz^Yc`LQLGAD1P-q2<+vzn(Sx37J>w=b~iXA?7>K19E0PUIbL_1Iu^=1Fk<*@4l< z_SEi+ zYUV6AbBO?#@28iE!0z2+5XnxfV#=;5XW&y@4eSQ7t_3nBj(v^UI6J)>HxJd+_exb6 zG&V!ll}^7OtivzfLWEfIw0P5R8$j(5Y$QgEj!hwrN^!QL#9VYS8+jdE$!0h!0kw0L zPJegB^=D0h-eh#|gO*V(S`VCXZ?Y|6A$9pD(22t~?<#$=wcc55`5MW3^!46V0}Mht+RO7^G`wQxY#?8t1n`x8eI3UrLE|l91oxfy-4G{LJ&8n!t`MCi}dl`4r44k)OqdP&lo&+yyT#5sY7Qhw@V*Z4TT)p zM8@w_5(eVa627}{oNWmZ$@q8Xer>%TOgFjRjJh81=PiGP62>PPn=w{vX}WRIS5}>e znP)HR8H@Lxw%*JHC2nO~MAF}nulDxsD$nqHPmAsMrnnC2#&qs8Xuq8w+-iau0ug%D zaA6p-RlC#Ai2dfepkcL$`QUB+5Evk+%KQ!=Bkhxj8j6O;C;qmj8K8b>My(7!@6@O2 z4O^kuB7T)>MSYGy{+uArRug zN$h+u@MmINA%u<@s_XuIn4Rt6ukZP76J#Hj**}+X_%Zt!Zz;`K-)!{2opjsRx2@q-=gTA@jeJ@ACzYwfh8Q%%sD%@DrNTzR;Z`AaxxV-wM+nf^*7`4L6Jwl9b z)of+Rwup?=cyUf~R&KhpS^I3Q0S{7tn+Jz9(LEP6d9uvp?GahgtzU_G^;#kCPlzj2s1k};M{x5*u$}FedawZo zlhz^|WucqS0+exd44ovTo^CuK3F@TlS+o*{X{Je)<}J$pU1VwWIX%((_=}o1^D=UBx*{g9+AB9`^P81E%6ktL2GPd8oVTd8GyKd2CxSopC3%9BY|kS za5y&Ofu=-;*-dZ!OOtKEy{J!e=rVH=$iK$%HQIkl7GpzbK60{U=BGKRj3k#H5MSWv zkx;J+B!E3YZCye;S0l=sRw7r9f&4_|pO1$S#jn#1mUJJ+H3{HRTzekzG>_TLB7(&k zm#c0vWKZ~Ob4j_NO7X+w)7wl?u<6Baeb_U6FUI#}^s}=~U$YETf8rH(Brhj-`9Kd` z3T_IYgLQ0<>kBUnHZ{a;PjnZk8Za`t?rs(gR98|I#9>B>@ZN+4 zT*#InQd1C2`au&Z7_J+@xg;>zb|Zg0DYjz{OvFDg0O=?mmV#K0O4{%?nBHK1R=Z50 z`6!V6s*y0U$~&!+^E5b8o~<1s-Z>%J3AM#$Wj^_@qYETLfQGI4&viUT+rP(_+#h?U zQe2+(f`?Xr^Qc?M*y13GI}mQt5(&%ermMb(3{SwB*1K*w?>M}*GIrHr)VIlur0>#xk_Q(qy=Io5uF{L%J%}#(_|DP%C zlSG-wTg0I?_2&mIy9uAJuC9{~0A*WsA`-Nmlx=$Q4(}f0Yr|zM*eO4^6(F!=WR$TT z#{+J)|HPST)j93b@2)uc)A&uS#Ivk$*prE?FIZ9xM@c&zph- zx8HsZgx?ZSnSr!6L-x&UtkRz7>n^MvXawrP=Tk`)3p5T06IVEu@Plm+8wmFW-3uVJ zNzX`QNoP5m%KL>dDs-wu3fKKvw%uQEv{sJRQLE;)xu~0g%oo_+ygD;3kjFIj1Mdx# z!-+>!(}-0vYztgcpI9T-X{1W@QGEIMo`eFctR-YP-{9fZ+BQYBtR*+Zd1h9J5;lEI z-2BL&rH&X;Nq8#tjwm$>&z8{6fOT)U@YCi1oz}-+({jcJ&NjBy9oP@VyZ7| zIXL;}$C!T{P?y?yDc(A?RzLBW^3s0=dmNr>RmZ8c_?9zFV=STw9tO z2gR*sZqzY9EDfpM)}v{GN>|smy&Haf_Z&P`d>S3%#{Gj&>iB&_(HhFMO`>=bwl;L)WsZjLYT3#KkB8bNfyE1gN*`v1Kffx0U~Ar<>Lbg z+fXS3&A`;*S1V$35(D#5UoAbju;PDn?p*Y<-sc)erEh`j%X~%oM~VRS<2+azY}U&r z+qel1f9Z}l|Gn$tQ?>7O;332Od^3a`9tr(A#1qw_g&Db4<>bPux7>C#z5S8J>0e{D z4L^}uFZ9%dlsu9DB|GCK(3`IdDn!P3jOJwds1<2+uj2-z6}EE;E|?S3dSmxuu!@{; z-la>lhw2{e`5f-*58|K%pew#&VA-uxY-N(~*Sy*`8J*eu#j7et=!THEesXP=Bf{_oB{40u(<(O%r~utoq=08KQWdP&b>u#Yqwl7Y1i@ubOyW9{x?>o1RAkwWoS6NOM$qOIn)U?1{ikJ%~$5R$|j#h4sVnf)F>QTqNHo7 zVr){(YLR!x{A6?H2T>Ml7o9~Ntz)tZTa$LGjNP6YrbsP4`#2YClL#Pg3#rkM%In7t z@int(K`(o$GYtvV{HsT=i!TUL1a`O+uWX6`gQIt8(}MQKU-^8~ReKv83<=X*1x!wt zF%kcVg>Bekb~?-bBv&V1(w;l@)K?y&YeWaCTBrA>xMtXv>dN9ZZ2OMx?EaxZX$UNU zkE7^=jvEk*M7i`iu_3tY<5jq~dr}__t(F3NBGQu8cU085tM3HAe17N{8c%@a^UIrH zjP4pO6exTY#LZ=ugjLHFD!>HZqtkzKl~kUH?1a&P9>zVR81(v<=N768qqoc|lC#%} zUqRVX&dIuYuIX2UVG2KSm2L1C4f2IgCB6Xp$)2#wx~dg=)h=2C@?4m>2lRVtwXc#rMJipq`Mc@ z)c~6M5m}`e&r&-oUb;Nq^2JcW3@L{bIsy5?<%ssdFR8JA+x<@Cd)5bTa=D!!v`DK1 zjBrJ2l~@+vVN!1|C9z0$YY&f} zY}aNn0@waZ^OZg`+KY3DCPus99HoXkD%SD~0;?Zqki=W7dR-bZwIGbA6o)D-1&$cF ztF_+p4nua}Q8aQUk;Hap!G3eH*@WP-t51lJ7gp?E9VFg5fDi|pT~Lo_5|y?v^K$3JZU)lr%W#=GE6tZ zF0ISRjDq#WnZ0J z=w#(^r(|30SNp{Vauawxocm~}Hk)R;Fl!h^F>a0QgX~mqU|CzT1mLugCr+W{|8{3B`VP8Y^8I&Ex zTyzMx*ptwZb9HO^?u{KgiqH$Koqt_f;z~!^toLlMCCl%a?J^?z`_bnl=62WZ9|1Vb#KlH0MP6%4>B;}vNDry`a?3(gRr$qTvxJ^RGxPAgu6LG;lEiL$ zuwEp^d-g1@HOP}8d;LYbd_Es?kOD}RrqGu(unN2E8X7uEzcNsZyd2_}uvFOrwn)x@ z9`Nj1Z_rk=0ELPnHm(JS=Dld>bMV+?9Yh1^lSh1;f0rtwr)|6V^9G*Ka|)3PmN3B)CG#GfGX!b>Xhr`vgp|eiqsJQ!>=eH*2y=&frKmZYYUQ;(l+tH@ z_QI)l^Y}!gG8oKLutd<1^X@)Bt`{*<_#a)WexF^o`XaTkD{F8pARc)$Zv0sZlT6r)&R}P-k7K{ood8xVa9x>d`nBUrG<4uc4h&9eKV!CX;?Jnbe^?@ z94yGHIT`0%R*X@@74W9VF{C@A2=``o;%I0%#bpHGNB?6^Sg%7dfM{zu7F-;^zsO7EV`j(v!KTwF%Y=uPZGs3qwF5ql~9#AaGsgrko*jc?}%qfIK%+KTttj zhuUJuAb0Wz1~BmY*b*r))e2^plgxN|k69FsA;d|Y$^Y(Dd)?-YhD6;6Hez1hxz5|s z53+GpWcF=ohq6#d>$?@GUw+q`&nSIX{iSyrKh#H&%;q^4rjT+jsLUQ1E8rPX`Bw$q zq&QynAZ-2NV;$EaAg2CI-!T(a&_4>w!3FJ!@1W7O045!{u+>6>4S-nM0g6U;l@t!irgEnWPY1W=_9W!MJmtdfn%Ru9xBdUh-_sT zL_pI#{VwmPQZYqnyz2LqNW6F|5_H-%oF&4RvFSIs$OU5;A2+eja)id2eR5#C)K}4D zxgnJm8=l-5f#cT5QF!wKVEa*#r2x+Rua&9X+e=#K1_l--q_I&WR=?6^+jO_ zYUe|)yT)PMpWR^~42Gi(0EEiXB-;KC)P)qz>Xl&QY}h+Ty`r#L5Kl6eO3zg()3kHF zoMtdceZ?IVtY7p;t82XrM0rQ-U0v}Hueyeg2k4I>6ei#Ws3V@z_|Ygmn_dGF$E>y5 z`CG0u9xB^nswwVla3Z&MZ$GeW1|ez3g=Q?5RRdp0X#Nggl@6!RM}1)Ucn7bRyQV{N zH#?4$Abg?yv-5l4-QHt)sz(012q7yy$si0zK;H%}e7HHQ#6X)nnp}#O%I8Rby4=aD zgZE}yS6uptpzt(IPPMfP0U<{NngV$*89u-_*5#VUJnEK^p32 z=2Pk&E!vcUQ~90O@%mqoAVGFi*@sjZm1OLLDHxegGB^^8{OrWng^GWlwDuHQuX1uI z9?2eMV;XWS$;y7CVwf9T+`W%}1&)mvYMCCTSt|K%bnWTtS%r@zOkb91paQ$t=z)l~ zaeuT|oj!3AlT%Xuq(Ejp0ZIrUH8TDRrimsC?b%4CSLG)cJ;QnEA~@J=PZLIFh1k~0 zS|&K$!D)#XcsUy$r`V=+?8hYrwq~yeTyC{XR!j$gF(1p@@72geauvcCksECKe06z- zlq}j~liBB^;&>N$dknQ|D0h4H+`rzZuyss=4o%d5g!+gh=(%DuUE+(N%0~);A&33; zV-n(>%9nP6MkpP^c62+g;87^yqGOExQgP&vscBBNDnPG_ znXgC7Xz2jaa2}%i00L9K{mIg2=M{u?udpZXCjmfvQ7BT9h{|*6Zc~tI_S1A<;LD3_ zM3%aBG(E2KNpY#=_*^DF*Mv&83ll)75kiiY7BV{oCiR`SzEuX1xefmu(+NfBNG8Hq zG5=;-M_POEP8=Ulhu8n}FjD{mwz1aVaa7md9YB%eCPXoZ*@)e+owuahin`M7b*}jz zpBHTOJN?1=RXnU!FoX$0nL{l0~tNl zGp-uNQtx$DttJ6ir#m*6#^1!t+KdW{4Zyp1_mf>AxF-Qf*5Y!9ira^7UM6$1J7FZdmBvtigSI->joJ^0ylhNi_y zN@gWnx%D`aEW%%W&^{Yil!?HyPUaln)B10SzCHauCo(XqFtBDx(e4Tu{|ohFH#G7k z0{uxLae^og(<2jm2678p87$7HMUzk|2G49!8MGih=fMeU3`1`5N8xwS<@w7kX<4JN zX4f$cM7VJFnQxauAOyB?S%`K@7!G4gm?I+h--oBsuF0+_lEU*znCB_>GDDxc2{#hY z696c!-z_4$thMIdgfaJ@`f)H9nbX)Ep^>}%Ne~XmRrz2qJzXU(5x&Tdie%4dog9bI zkYR{7r;p^mk%Zal_urn}xeD3whc*Oo<&533!gWuqpG98sxvSyF?(1a~m*hl4)0 z3HRimC26MW7?ZDu69vgr5+uhb;!l{lCa{=(lVHE z2776^%s=1x2&38i?~=1ZzSslb&e{O1sGb3-D!|@h|4i;Tgw;fJp6w1Sm(m$U8BV>c zq9oNG?~=u6IlxBm?kXuZfXcbk9xLZjaybg0(xTZ#)QR%?aqNVfGcGB8O3Jm&vaW24 zDkpItPRc~v^X);J&f9KzAoxwbNrI5W73Sa7)zBa%<@d|+zVdke=h6+RI6JPX0v@=s zI&OEeCXL9ogvPYi`sT)Qb&WmzySLJ> zrLT2UEB?3?tw;TY`DSl<>s<5Y;%Xsdj5mOlX(x#G}I&2wPcEAql{v zYQIr6G0gjch*2*U$aX+J0Kn>k^$j;6$5h%Gh++?)L%6q_T2RB7?oQSOPQZ@lAd8Qg$ob0eCqh9x291I+V)b7eWpqHv0pH6Z!*a)M4d^&l0 ziLwP8@&B6UO)sacRSMI~1M>^048qMa4-|Xhp2804Ucr>ss(;xnh6-v?stDhk37L9v zFkNzK;tSC?{|XA4{M2)~ju1BlcKeg#`t>`DDqEd?a@AOoy&43$!gPa?R%L9w%Mt<1i^L)A~ z6@#q$8~fFFd&<+u^YM|RG)aO5K&l;G_2 zqHkSW>jY2cnzEAP$gFtM^Wo;~=}8neIPcmp8!w)qdkhH$$>`0uxdgGm`%bJ_jfMV! zPne;S6<Dv~-(5^Aj`V3_h2-M(_(Fu~pg#7B?zx0-Y9?U09g);bW zsu*7FAA>3Yq04NWfJp`t*~3_XXYVGygA^Y6J64OYNr`(voS6uh-D2w{F6~NS7Z}(A zi5O%3zOQdRP@9*bqJ){li6r^^RjEJRS88W%Zg_JGC1FMq8@vsL^!vOcF(o+e%5aYs zINB2s0uD1>^_yc>CPE3hp|#cxp)3`AOwt|8l(RQo`ggL6)_Scq8Fxu*pt~k^Ho-m-AP=c+D?CV#k5M7vZ>W)! zXeEGMA=4hOe|~V&)sm(nW$boW!XUxMYt`EOYBWFre+D6E8#r*_|KWWJBH{f0{gnqw zbN|OXmsXH$zqz&sgy-Ny1(u9Cm;d-7P~>uf#(%|sRt}P*_kLsTK$3Hp6qHDZ=)||h zQ)u#nrGq?qo2c0uPk)N1^4x@(+=Ow@3`Sw=T(R#->ruxg|40so;6s=Y1tRa*==tJ@ zmPgXWyE?aB2H{2Z>(JxCHytR(dr8Os_erw(^t!0AI|vLw^qplh$9F;K^0)lpN!A^k zomqBrO&||Ep=_Gx7oB{R%VxKj(zuEcd7U&Q#74*hmp%YFnDIu8Fy`4FE;?sH%x{au z>Wg!iEHuimt@d~F9$xGZU^&G_RQo-br;J$FT_x@RiCOw_@6V)ij)L4B2>N}QEzDv^ z1HlnkJnyFC`tA0C!Pj}LWaXKq`ZiXo4uF?)zq0>|Exh2~d@2CB-p3k!LXZ>o-J^6~#c}^0_2XexJbxg!A{n(-w2Q;YUfbPko9Bc0sV?taF4IK= zzbb|0J7QyW&Wf6n{U47Y2c@wG0gl}qow>f6AbiQRyYQ?~U(GQ8Z&FkM1mlkkpE@Fx z)gf7C05%jhwas_)*xVWk2?;1%K)f^9WdXt*WC#H1ADH5P_<$Aa$`5QJ{VrL8t5xG9 z__MT`NTfu{0~;NmZNx4fizbnY+o$*AdB7@Te$$}K8vmBuRg^NW!s$X{FPOhv>!I0s z-;^NF!DylD+NbMxRpzx+Q`W`fsa6t0x;6bKb8uIDq*JhJflyt!^%Z^U);F}8Ta|y0 zau#%30A2y|sV%u-=oC>Th6AR=dwvY59bTWFo`NgM))~kk84m852)?Jfk?h+Q`b?BU z;y^Gmg3r!Cr&B#PUa(sEP)eSnxI+ETzu9TlE{N0oWUm#>I^=^mpZ}g8z}K-VB3)2^ z48@6=?lOcvbh)Y@7|SG{rP3)AJ5giuz)1va2=V!>wSJ$dW=dE65a=$d+Imh{AJ%Gu;f@1hatjhNnflTuG z5|LiQ#%Awl;aUvcD&Bhpn1plH8PzL7ky;%-0y~d|!@);`_b|G6Y9b_dk>L|Cw4bS{ zjvxv4Fp;baSg%kyTd3XD+(vg@>`RN`RjlW^rMKEhL&=L5q&Ov0M z?5mXqpMQmcN!C5==>ui{9<) z@CJnf1T?JbS4%8y7(EA3PeLXk2DmUy3HBKZey8%))&q)Rf6=&6;5Im@FqGxg@sVe@ z)!x!1xpb|6Mult+p#OEJxfc80j;05D5+jSrJdA)a zU)iZ5-#zc0cZ?6sZPA4UMl+Lb3SypX=kF7sF#E;NW1;^YZ@t+pQnqMRA5NEoyDhmS_3d9LDNA1U|4lnmN~}&d*qAnj^o|2!JSCsD ze}#(Y`x{4M@m^y@72R!uIc(5IG3u6QR?wi}OjDp9R$EyM_K3;kkx9cR=sx@;lmocK z%~bi6r@z30;f7@Ewyhom{!Jg%)9L3uq;D|j(y^RdLLozYrrRGWg<a0*Ql*AIkf)nDdL{v zmzD-h`wy%jBOgAZY<2tFu}5x9nMm0v>{Nl^JkAOFH4j;$VN2KcW>i`h~%h} zg9JvAj^@pLr+Ct53XFXXFwiyR*aQCAG6v5Wws?fl-1E8vb&bOgK3@9n6=l-n+M$DyzS*@CeN29T~|x*!M>rCm$f#$O6s0C zq}YB4cCm=fZwC(Vhj+S;1cx8rT+BJU^i{n_26rd+d=z_D&O7xT)B3U*4{^cOgiJaI zRgQqVR@?A9?FEZ+ze6d4x@{LPkgE3MhYw&-f!{$`Iat=BUjIVLdbO0Z4^i6k{G4Zc z9$2Nm@zjBRHIFot_Lpwe5B%1k*kooaK^jA=|H9CGw+Z!Im?G-%nh4t60NtmgdO_5= zRl;#z<6o8?KTq4g9~+C~Wg9K==|NCrn&GvCpS>+O=@Y?Y#9Q$1TXb0qGZDp+f!qk1 zDC-dTcL3axWw44SBMgVbe8b9uB2Eedi~j_6t|dQzX9?M> z9OJ>@hLoG}=2~N_{?3j8x#=i&u%0PY7wGVlZ9Ndgkf6$MH-niS;k1>S*E01Oq+|ER zrWui6duJDd3)fUunD^iO0|1QQ7UMF&`{bY=KA+}P=Yye5BT&)3htc%M z$0e|#>G*;r%CaIXooT62@O@WOP7HKu{ZBQW+lCVlQF9fl9>#eRx^6rQs zF#ME%VCt=F(LQt2UtdT}mfwllA8-0V(6|q2CJwuinqmH4Ll*OeCPviGlD))q`S&DE zIzY=ruvj`amdhHkwGDk%ru`a3N(_6$m<32snFaqD7&WN#wSS_j5<;-sx=7zsUsOh; zg^|Gwg_xC1k8OnLsZtHO74F#pwSs6~7YN=^!udYN+X<6=viW+VB$uirBl4^VTiNP? zW&BbrBxD-|$By^IO!K;$x+P!s1Q(A_xy4ULh;5UwpA7SvEYpF8-GDlF54;u9m9shj>ZxRlZUUndoGWrxOKtH z9_%-E`BWJ+rnt?_*~H77Pm%}|7*#AEDRViDeN?;(iLjjcn~xYPw-$HLTMf9ja=Qb6kU z_J7_@dUN)k2<#uOlCI)jAjmUt)iE0_JsO8y-igV>WzMCE0@fl7gDR>6y%cJI2`T zi0O>10^ezUiDpYtDR;sf(&?Wn#IdqpB2nCM=Lej{ci=6J5WYxM!7}@9zcvwU zZXJMGd;Iq^&i~>Kkw|D+a8c2g&C>Jw!)QYe)l9u|LF|`(AsxyyfZ4Uu3s!NxX0C{h z5Yljz^sBK}+ThZ`fT$7ts6wh@K%*r@c)BnbwSvvywuD()S`rc#{smFHTK+Xt@x_5; zibr41+WVIH%0sC~sANJo3P zz^Q6){8Y$#E+;- z&w3H7GA;fpQ=NTrx3sq<;Q5KD^E9ln7cYdj9CkwWqyu1=xX%*n{u-RtYHx1*cVt3= z-_UF`F8#qw5G!J5^@5l3=eYjh0!U^(Z&@)G35U!rGf(Toh&KgGNZ%JiOAyfX&n?-*s zC_)6L-)unxa22Yk*~d7R1iQhdN$ITy@6~+aYr;i`i%4g*x@&c8NGq2DcGB|kgWx;3 zg<9a)!$CHF0(Egf0F{0su#nt=&xy!l8OF_2zvkh?aQ<*`l|Mb|>**L|v z*Q_@mp8jw=6=nc9T>4^Mz{A$A7+YEJpykxQTYPRDgTv?<(0bMycN|m_+MuPrr*f(M zv&N0Dq^9yS*tlWw{mT=i7f`p6XR2%sq@B&or5RS~r|`kHm$c&gTIn}a#RAdgdyRwC zTW3KIkp}@6z+HYWn3FI8`7W_bo>&0x6i&_epcOQO)#-E1Uc*g$n4)9M2jYK_tiKx? zYr{aqbLGW8>3uaBPG#sPbgV7Z54C37D=zd`O8*|wG4@nS_sJYyE$+GOnY_YC$0s%y zmw6RNFM;}CQ~I>k(fw(o}^4^c>rszW`M?@Qm9V4TPT_q{qW7FT&Ls2HV zXy0d`@8Md}BY|KyMIxHMw*8ZZ1Sc?gX|h}^_5vn$hrt!rkPsS^9geselSf3y=7*g7 z{PUoeTQJx+ISd{JaF~!gaNNU3J%bv_duOZ_&~FgetHEjmdmks!l`t!0CFV5sjHaAu zFHlr7iVoVbAXsZYrv5*Uu7V+|Zi^1xU4lq=cS$pJcXzj>G($;uBi#&L(gF%d$44U_ z(hbt^u5bRqoqO)td#}BMVY8#x0*$qX5gVt22?%R8w+JCcN4$`>vD9Nx9PujO1_J^2 zmpVKShV2h?yf#?1@@#O~m9fW?N$VpHvMDRXo zH!kCQHEsD|vRYKIU<_U?_pqL%M}Oyp6tK@jtE6^SU(+OchgOBGBl}ffrBtrz17ItT zM4iV#2BMM=`{mas5-ZNg-l#2#f7!5kr~-HBBRmujU;_rhrBWavz}aWAg1*gd+VF9l0e_8$uJ#Q;#c z6M`mWPoxB+>y*5fj2;=O0z&fPXU>q8Wd6 zyu@q9Yot+y{SKgCr>970==-uud*{7_VZi|vbFUauBFq)NMrKktLu?Sq<>c<)p{Ew; zafD+={#2>B1}Y`+PFH*U+t|+D20_-|_V8-ojb6DInJLsb&qtjOrLeM?~D+S*W;>gzJeR^obsD%+OIeHVy!5xu4Wa__LLsNQTl5W&x0H1>n0dzj$_7bZJMyG-1FYjEp7$s{8! z+F!W)inn=QMGD1uwnf1H`fqgUJ+>gE380l_1KE$Hx zfTYnjCjhOWab_wL)BW1=a);k76HN$UxT`jxsD8jCX|;(C@C5n!`09*0EU2inomBFi zcR|FMk(C+n)F*O> zx>Rb&3lzTGOaCdT#1I{gsrgDIHuZ;-!K~E^iLl4tdv|#`_RRfuIYjQU#HBgRJVY^f zj)ux!thyWFWZx@w`N9PC-_27zq;H;B2rDyieC!cOMd)Bze)Pw5Jqs0(yv0sF5a$N7 zp#cj^v@exI?ec;IxWY7TFeYp?%zVXZa_gQQPn)D8tRX|5uP7bWnT4%DQdVI=5?h^V z@A|3tKZhNLzR@Ny?GGyaci$n|&`>{-$3kh2!wzgj?Sp!(X z@--#liZfkS+;n9>MY%`ny40um&l7I{F{!Bw7mAQa7>pUN2pC5StF|+C$f)-Xv@}Ul zTfO>S4kVA>N5P+v-meL^_4ZEDlpg z%0bO??6_@O5;aCRk;{x6uvM;Xy>or~D=Vg=Hi?-SAqPlXeg;{Gpf^9ODHAHT8vq5@r-mw&=kYjG73UG?XcWT1aSwI!%~ zf}VHC$w^5Y$Ou=>**^sxi8m4$`LHetWqqff_#;z6H(pfCv$E7HOum&1` zy*_2b%`iFQa|n~ykp8noOWgDWd9mm4s4TkLhr4=Y4vQ~KloJ)m2B0JHSGXmlTn`{& zAVLB(n)dPYnP=D9h*eW_^Yy7~@NdDkt}erjJzy~^>p;*8N^{P8&NQSlIwsWjpz?OV<3RhzuvwC`ZYXq0|} ztdUW$F#(3?5z~>;9m^!OhL|(yMDS1TR4jNBXt%OApAP{aKLvKDNVQVRcQZfi{^+iz zhw9pQ2f@A_{}`2MYOpd|2y5K6mfg@Hx3g5qD}(J!bKjipA=oEH>UNL1#bZu8AfzPW z*ACzh>bO`Z;&TD{C`em&j2K{g{sPFTQO`fb5xb|k<7(YEmM1!VkfV=LqmJ{2paqQ( z8t7r!^&u{a0^d9^jk1LZoejX&gIGWQH6GZQ6_WMDH-!Y4JLx+74F4l-+J&7thYW3yK%tF(QkjR({q zTKzn$DJBjXF!=sb9Sccero^jJ9jb%*9z}79DCqTF-)NkILmI5hc5j+ ztiM@=Ja&dKFl8zXFnFB;iVgA4B@Z~x*H%}x%;gbiL}?8(n1#YFHsrLX?Q6O?PrD_? z+e^9r4X20Y-9luhnEoR z|5p2m&>C>4E#&91x+Iz{q7G&w6N(n0 zGgr3Wr|J@c4}u8NCus;7$xq3vka{7l(%xj6LZc`sx^eOMh*`03&7zos$w0_?Z4{vf zVv&CDM)1>VTkk~#`}0MlnAO|AjGmn+Eq}k|tpOtSH9T?6>MeB9@c;6@G%T9bBjGl; zwwC=#ORJLBk_UX7MhU!5oK`%*;Lz)lXJ4*)(kuXH{r>@$8o6U7YJ$x%kT zT0aF*QglS}v<2_+h;Qt2nYnHb$9c}9#>W1ijsTHqt5n3Y`&v&|N*`Qs^i%2N&p@xq zc+=)<|6|x8;AK9HFmkSj!2LswzTB-{uP+W}5Zv5PGs`wWZDEt80=|9hF_}VAyMhQ# z9oYa>7TOTJDvA)N7a!sEm6e#KyEN%oAzO5DMglpXkIRAi^t0rRPdHsW2z?emP6t9Q zg_==-qJi0+*CA^=GxJ!u8jw&Z(`exu-bC z=m6wOD9+ZKM4}xBPmw$;G6XN-K&4jTl}o?QC<#lh*K@cZlX_75`&2aG9!P#bO1}=e zN-Y2>kxD_!{ibA3{vjan7!-dWk{IL$B;y#E=!yeo=D?x)ka39}2&A=~kwr6mZXk{PE z`+4(n92l{Z1SO5Sx5KaG*z{|t*?umt>r$m5*PGYhpy?rUxAzl8TcHSK=LWPwq37{@ zF4*sDM(?iK@&0xt*}<;?VcG=J5<3ut6PztPW9gX?RICa1N_x&XfVEeOp_1Fu($JTU z5X~F;@1nb)>|6{r_z{bfn-c`B>f8BGM_j4m3eJ^t#1)PN@d}+O>N$`i61b_Fmz9n; zS9^nlMScbYQ#mx9F(gts%vISWq$)nm%M6x_4n_M9-1QF4V=*x1+eE=zR-4zRaWCWz z_b$ViRDt@)iZM%i?RDt}vS^42h3C^53<|yQof+P%IYJZxK8zho*S2-(-9Cc8ccfKi z$iB*lkOR`tFeyKT{oe21<7j$E#K?^!oiw+9*EoC;b8_@9n@L%pSqO`_}qu-Em6=ZM8RHH1@GK zM0s(@>sm&D`)Qq`+yoVv-qF6;Rr^#W9EORJ4uU$r8Kyt6OLmGJJxSPk5hcUt5KGoz zOZT0&06MAIL11l>Vz4Rk?>5QDyhUf&zCB(P{4?u^G>^bE@7yb!NOq~m{Q@v%fNjOX z*PC@$S66PsP_)kAB;W6Jj4*~Wl_9~#!-HU3rY5uszYU-;*h1Fph&^4;&d#m?_0zWo z>LfcX$cec$0~%oMEI<+u3E1q#aTdASljcngnX-Q*wkJW5Rgd8?2P^FoRx^=Qv0chT zc^(l6Qj9UA<@x#f_pf~`W*-2`SDpal!=_G)i$*__(;ib{ff8|G=QQ}lXCQ`gB~Ehj zlQ!#k#BPHL&PI6v)WKuv%Z()Y#3jdRt9Mo%EyJXz!4YEBe-XS~g{aHZyJ@YhBo-tn zl*_WEDWG@|#z_#3r~YjT^BtgkjhA8DUE$&mCxV;v^5x3D2eq#pdIG)vL+H%sT_GiU zZXr$lLEwLSpEHkw<>eJ|EZ)(o_>XtSCN5cNh=w1*j?E106{SfLHZRaK9fmQuost;9sOqFd!!LmXe(U|<)I5$SHyI2 zu(Zt6-^SRs+opeTBMhQjWgcpV{5xq$QypVz2XWc7Cx>znc4YTQ|_WT ze%NW!iyX>kSZPIG{Z?)P0ppL+0Dq*238oEOx>rklA@Wj}jw%w3co$eIw@9)il>!9Y z^}2oC5IlK}43GF%$qR@Xb_Z@_c8o6tLsW@jAPxPGDncx>9@JmiT#sHD#oULOqbAC4 zHi@&c5EO|jfm5R%=w@W@2Zx-z>z3!wOo(coj_tI8C1aEC{y)HD$v-L!ho)WIl&hdQ zxwKHF?^HN}p!(sY51WpMDN(;TgAqnN04r_pE`ag?D1&9O%FsfP1HUd?am^^0aL@tr z@^Jnv0nARdwYa~5Xgv8i^TMj}(z4Kg&CG`Y)6NJ&HkisOO7BrCE&#o3U~R{agJ*>^ zN>81jdKxd;7oA*~vp)^V6j67-5oZIz7;PFj&On|)@&qr`> z^+-$%$+TSA{6ul)JW`d;8Q{CN+@^Nc%f@XFG})Mu?Wo$uG=lt6YZomNd2uZYmdNhO zoA5_*(9_-|)ca-r5v`qQ!Piy^|lwJ_wQT-({o z?E5_4B<-LZ%ZZQyeLBx0w(5y=1foYpc7L(4f=PfJQ3C|9y{^jYC(N0j2_VT;bcVoV!7+YcfBqa^n9Q4 z-zzuVC1pC}y8kf9ey20rZ4$sB=kKAW6ZYxKjCaId#oMw9u#Yd_>Gm&q7kpC7(gBlV zGf%{v4P@QpXM4a04|bj9epC89#d{u9#ZlNToA++|S%XnNo-8M4ST6Pfb+ea|tBN^+ zjEClJrdR*1ptDM^agSK%PY#fbVZ;GGmM6g4eXa6}O2d|xQ!D982$g_l7Ed|iTp2*d zBJ+%Q)~8PZ7~lknH&E@X)XP-?!aWRoKMvjK;H`lto>(~LqTkj59DYtP{bs0qIdk&&XhneC(++~ZIqf< zGb?tY)6sH9_}Idv`QvxVu5ohZR7zAklv8Xjz3++q2n&-S8#T}4pLgZ&-#hpsj;lUf zN!I)$y$)L@LEHUiAYE5uIko3%RoxGc+P}PNm%b->Xx|2}C?S=nQTcTt5}OI-L4|tR zo-?)3V-?ajNQ^>kZsuIG!qa+PA!)gnN~6=ZwD5`pAdUYjiTPIoL^oDe6lOd802|#c zz;k2&FK{{mO6I4bop;@Lz`Y>&S#ovrv7qk3X>5$){r|t$>Kw-Yv@QoPkuM93jI9tx zDh$+)fE=`}eay~kE-gbVWl}Jr|2cgs%9Xv)K4h@CiJb`ZlX*A5h8a`S$Q@aF>11xU}LOeM+-T5dT=wVy{h*#kHX>$nkN6lb5;H`s=*B zzCHb+BIgHk-z**prlLt#R2|GuZ-h1kGkq)Lv9*2v^;A0Exy+&NZxi4*gx}}?D8+@$ z^>R&dAxot+k->)t=V49pA0(?!CC!*&n<3s+=s#(-21-wZEGyuwnzm@;?>?~d4!^rM%E#ii2e6h-wbp3#c^lh96;4H)GYJ??_i(TX;@H^fg=$t zwjbIFJiSOUqtA}GFN`%js&ulxZctPTXt`-viHH%CAU?~Apu`A)8t0gyRn3ae* zjkz?Fq6~Du4xQt^o3Shxe&L?*{!Hmdj71 zy<%FIgn>oj1OrKIK=uZ-76=+L;VK_hirt1`8jwE^3uJIiM&?FxAu+Y! znM$vV;@qiLP%E>IE3V$B$p9W^fIckW3t(#tY2v)Uxe|ZeR)J+YvVsKlPR%*soFj9i zJp~Z9e6d{6Q>9Ngp+Nj30(SenqN;-^&hv1T?4JB6W-NUZ?dp@qE%o!%EAzj^y7x(v zK_7x^1iNk*!B>=C36G}MP60Q-$F!s7*FE4 zcw6bBF zNl2FakL5EOyCt)MI2b__MF6uG0Uz%$rj5o;!jrBu*&l1zQM5qwB{57R=7d8H#Uc!0 z7N+@L;-&nkE;fg_&yI&AUdD=IvlDKX(%6s1$;O7CsT32G!}z7?P0Zi*Kbo<^ky$htL34(JCt>gxKr=&x|hc zQM@vF<-q?b!M2Wbe;oOZaO!ejbPFfD0;+q*w{n_DM9VN%_%%>1>eE(pVCt}qAB^BWb~7^E zp?k-GTkl2%w^a(w&AX2A##J?@FzK~?C5zBo#jT&x^WO3U8!IY%-sXlTDzDGw@qMzZt+{47}it^3x#1!q2|w zCVF}KBw!`N?k8nF0;VK~zVgdIg``%fPt}vO01CiSQ1vw0sW86jMvR9`Dv=s1$O)bi z@3Ocv;i8hrRByd8TdwUeXmnv>UnFqYd6IsijHXRqF+wVELII@h>%XuI8|Qf)JI`j9U$~u0Kkxj|YHlyJ(RYdri!&2wPVstv_YqbYv zRr|FXC`;a#*O))!%u~p@)c`%UQz2A0(L)6;V17V#y~rQkggA#xj!Q`{bS`{%hlDFD zyynf@aP`RndN|5pz!g0=sd+FJ8-2x0@Q^mH?YlKFB{1bNbTs`l9Ez%4u1An&{`EOp z6s09|JG#$Vu&&e7A}BV)g)XZ#my~5vqa(?D=%4tkHCn@drC{jR z@goy$T_Oin_36(54u3J=Bte|y#QP`~pX;&ZxzMi_?z}xE#Ti|oM>NAE*bjChLr2`R z&2v?nbFP}PJ2^eA<;n+3cCnNADlvs;kSC`(aIS%Y|HF|kPiT|Ep>#;)XLx?{P;5jpeI&$z`t(p?yd>N0o1+ri#*tgvIN<` zn$AFZ{ydbBoPH!OXM)Zp1a>OaCRBB<-%6yA*?%L)p)@HiI~qU@&d%(UB;sz zISHF4H)sfse0Vz%)R^Tdk z^x#!%btsa=$qq~{ad&@MwZD-_MmLit?-*^1Vxj4LSGZXpV>P>8g0LoXYofR&i+^z&G^3o_Gbbg8-YNWj=-_cd4H_- zq+GG*VfzqqGWpXMhDWEI>7b3phM9)R6smWMIn7>{9+SKz@jx(Q`Joe^l-HR~H4ukE z%oA{0YSb6gg`mY{f__J_fEOQH!Kk3GemnefxYpsI%sUVMubsL$c-|-rJXgh(9J_+h zCPE_Jb8wP9wiK=oz710z0GZ%~1{@`@GXWdJHD;5#{ESGv6I2+PQ`ue)P1 z#6EoQibme^`&5MvZ@%=XzU35LIvt=KyigGRCr*LoVsjBN66gbOoJ*oouT@k|4Yj!S zNA;jq)J@gbW=EtXQGT93Ha*!jiny(XFTW)LOIBa2($-$(7h$H%4e~KNEB)_K3R?n9CnF$EAYFFd1EBGu()BBbK-# zlUeMwuUc~)peXpPY|I&G@Tj>{`#1JlH}&xhg`X+eW+OWzyUhR-Dae!*DaW#93;%T% zdMOL&K&4&>xq%22sLY6%H~^T^Y<)s@wzg)u$}5&rHA?W+{^TnCfI9w-6swTc4v~_X zaz<`kQ$tQ6_(q|uwH7fUoeM&6Z2pwQ5%aP&h8ZcfQaN#Qa3HsV;JH=ir4pv58y{8+ z+Dn&0($L+NDd`WOtg|yIxf5g8DF`*GCmMV`l30Es|MzDRyq-FPdN$58nX5uJx5gbd zMhBSQck@<%Cj{}uRvv3CO<*L_3o;%mD0-nWpuz&ojBGNZZire2LM|FvHV}_6d&rWh zSc9bF$o_k{E^eX0vKRvaRlf0+bMSKvb_+OF)&8a--H6)}sBfAY#I%s#cKH@mf@?-2 z%LmWOpkzfVc#)k!*RP2su51LUzMQa2R;RK_q5JlReZ2B16c6G zjRh#vSFRWXwoLS6_ep7&JK;n)8Drg1(DSEGET*b!tk2jOu-}*&&QB$@|ChlKfur$ZX7AS3QW1w_UF4$HQAk#kkxLLX8MKnMF_=wf!* zq>+Do7RDvlM9I64^sA8SuCE`uf1k>*#gzh}S>9ow?jY{XQy`fXUC8v+$ujp5=v~oQ z8u{w^&d=v$HNvBzE#6zDP0rdkSw;~1>Poga!F%eTE6&&^Db_dO-vG6i)Q4xy+t1^t&6jgU7Kwx|~WnXq*Q7FD;LSlyXN z5JbU%de2=NETR-6y)liIT61w^HD|!P#W`mSbB6tQVJG87 z@>T9vp-`vkno2QebnTlmHTq!CSEGIByg>Vr(P6|^G%8v1e$Fd)5O%7w(xBIt_Fxk! zOd@|DaK&FTmT#Y88Gf`d&^Js+2&muMwF>&f7+tt$VjGRLTg^9#tcZ!-WA z%XfN!`2mWaUm7L2?cdk1I;j6}OXxfLj<)OiCWX&7{C?dJffCwKO zwcCh|m$bTEf$9490jQn)RSO5HPOB&LC;E-wE55T~me@B!ja~vJ*|R@>Mt{MJzVA*~ z(i3gON(!>x+kXB`)C+{Lc?8uRp86ShoFA59GVQedP7W!4rnrR#I`M%1D^@0#BHarG zhD*ZN zV(>4SvnjZ-AMz1sk`=$O)oCgZNg79Eu^~OW(!5J6ipGm&s4ZtJeOLYtRL7O4f}@MgK{(pbkugk4x=I7)PqmRcj!BP9wcXouv;Jk(I21>!Wt*eqZDur)?fGEZ@o$FM$M-E9Q(RlXJg=1EUzox zT_jAcDFKbq1QlD6QIocxo7V)bS7YW0VS65Z)zT0ru6w`yP^7zAj_lNU)+329n&=I5 zznu&A0LfHJ(2Y$jh95sXX^dg&TBRb4l@wM99+~AtTpT^_0*-zV%_Ot7q&&xkiqUYI zL)o|&NGrUdd_-3Hg7f&RM^0+oMxs4m{8!A-xVxNc^Rg8rl}o;t3SUnhLG?;v-Cy_v zsbz-|;K3qXyzKPNpcc5>DA#~E3yM@2(dt7UAKiH#vp+mP-N{+dB7Hecf&5l=JguPv zM^N3DeH|0ES4Lb4Z9LhjTkfK_%01rSb>(>TFjWC+54Fs2poYWDyfmh=azNLAFv{?e z$rQZD34dNiU>ASao1W`4QL}j5YQXAsW{|i!W*G$u`s>>x9rY_qJ?d|Nc2neE2Il*Hesd|m`}W$h=UGrcKS65qLuU3=Q^ z`Xr)8gO)h2)b2pFv_&~sl&~U+^_L%j+cpD-2*2cShXFM)WWS`RV6Z!FhPJ4)feP0; z%xQqY5s?`cz9VHLl--(vifAy*PEf0hnL$hun)*==KA7&4GM?0B)2Lb!*N?GS^X-}X zxt&~@_q7o1#AW0-(9u>2t4B`lk^HVe5FL|P-BnK8cbhqwAT(uLcw4@<71Q2slVVdZ zeF?;!6w}!@u18bq48uk}y^g##Dnh2Gn=+N1t8lpPF=quF6Ex6!aBfr_N9+P<-e5J` zCwm2>7(?l^gwPZu1n3RSwt`lR@jer~aa+smz-f*07MIiPoBwO9MxllCXrYLp62@df6Y`P3%-@bn=iV#!pw; zN=ekBQ5U<_D}p28AAv^=hktL`ybS+71dYmzCsX7be`fK462e4!8j(~_da?1Ll6n6O zzroZg$`wgG;$PXdz|jlc{V71YJoz*5nde=P(jG;IOv&Zdo+2~MH1~vv)1$zGoaCQo z;KF!hx6qa%VP#v8*o|1=PI`7)`{7p>Z}GNy)xqmziA z@XXP0_24zK97%jk$jvp~Q>>f^XLH0WW@z0U4bS)Ceh@91mH^|~(M6p0k+V{mCR224 zHTdn=v|pjYYa+c?r<#lW&fZC_ll~~)&)v}xZCP>g^L)gTU~bLaXhD#mR`Hu%pH~;V zCXdC8V%`@Wpez$!u=r>eG+inKjcvOP)U#u!+mo(HSHWuh=EHDW<>rE`3IQvj$+fbeS!%c8fRi^i$cNY?*xm%*3-7M@mP3CLylXuv zkFCi_mbFBjr9G~2K=Z@Ude~joF8-I?USt05W@cj*n#`K}6HeA-+0AdJwhbHa+NI0MbRW}t1#FolpV}xI3XU#aKN!#JyKWB2jd!~|40gpZf z^_qTp71nWr1Jv0hVrGL8-Ovw7hPAJW3^@kXY?cb?U(YbL&_G|MS2NP!EI92zq;3uA z?n(OgfDcFJSeXM?RAMwF85f^`*m#Ea&Tk}BPBC4bakx=KNxbUIwCS&JlTZ4Z%9*m( z(qB?n=sJDercb@Eg?j-dQGY)S+cdhEiq@-@h0>Sdf=w^w_-M&GxmVd=I-ElEUbxgc z<37;JiJVD=>LFz@qcWF|Da047JRCPSQwCDLoYLrN*6NPdX~C32RZj@+_SEtocD^fRYU0P5*px@R zf?p%C%=7Yw_U+q84S2kg;EoOZ;d&F&)}bGUL_g*if5q2SR0d>`6*Rf#hWp{t`son9Dwz>aCN~UuZH-CJ?$?IFGH9M29SXVC61?--`Jg`oJfXgp zj*dQ~II97-pJ?X?3Ln0&=8gk@M?}y`Q#m~*Z1BFG{m}yjT#z;tTav?rIMPb>u2M%O zw-eoITEwI&4E{Z#s2?*Nr31Z?tX}P1&_6!)2M3|RhChu|?+p857MdVNi)rv$W5`r@ zv#*tPy1bav?7Nij4d-%DM_w7+ut*B<}cu@d(M?nhmW z2Lk6af2Z4gZ+hv7?+FWPkjzm1)uQpvMsWE9dWFS{t`s{{fy%&?Va@$oRj_bR7Cw%z z^j>}Po9Yenyrz%*H!^b$(F4-8-~TE)234L%GRV0p(v5z{cYT<*?*;1+jWAZ4jTScR zTnuZkMF}1DdnIny$sK~djm13%ut{4QFGR1L!vm9mUlwCdAVih#=LN6i=72Ugy|i00 z{ify-CE!mFIXd9cxp`dQt8;^O3m+0Ow8;fBYt-YI?X7bh1t|nn9-Vk?$$p{~`eXsf zo^bIQNM4blf+HOx^`A(pgnMO1YRLotnH>utrLmm*&8#kvKJUd+GyA!BI%v-9j4oPw z<^Ew~*EyRNyA0s1W&RZ-qFxbPOB@#vW}W*pM;Pbc7Z{kW7j*gB%f)cgT^RuxyDh=G z3+eoFEPt%0wiYg1tXj=$8qu}+S7NRgO-{%v37tlLcA32pps!dv*$ZvV$I+$0KrTQ3 z&WsC}$TDz{b_dGsb?PrK&v9r9Y3ekK`}rGLvm7crql za?>V6aF!DNx)a~e)sKO;H`juVT-rekqq4o)@}}P}(>!(5Q-d7oXs<`}U|0#!tkyqb zq)VsWE_|VpUlNF6I$)XwWbMt%rH51FE2rLR53*GnBBl>L3sO09%$Eztu6Xl=5M`Rq z?M+itEgk7%z7avBnknV6NJ)e4B}rC}o*_xeJ>^Q!SSH4yU%`S{gbh>NDie}t@=9go45)=4lMxkSugw96exxz^L zHfsIpA>jM>1$$-NG9zT$(WGR)T!r936OTuy$@EH2A&RQ8Wyar&NIe7-j?KRLQq(1Ery_YCINKFIBvs-{-H&*EQvW_Acvs!~SS^gD8?^KY$hU#i6ZYb>R+c8XJ)zW#&A&#t z_wHMcd0;dpaYdw>qi^gEk5zu4G#EmOA5@RD2I|&PDmim>y_z>~FTueEzTZhP(HwZ7 zse-TT=PxFEzVYpw5Lw*JqYmoXkZej%t5e0?1edXdW#HHQXnI~wz7|bA-Axvr@*TD-*$mLw)Vn%QVth9wa{QpxF=h9BnJP(p z!p#S{Gyn|B0l*@bPQZ@~m`8KJD$%XE@c;KhFaN{2YuPC!P`yD{1bN|O`pqsb3$ob{ zU1lt*DB`Lhoa8u92WwKbNEjo5+T;ZW;*5H&)&v4)0rAx80f=_^= z9W#FoxZy2+%|X*)-R;6=)BD$39}V={Z2YIphNT~NS{yKdjx-3^b9 zX7j*z6*~mUFeo>AX+2w@RM}JH&ri8{_wnANZ6?_c<>!w@}DCGR^>6zg^ZCn&TUbTAOq3w6O%{;$f^@(|Z zK%0!PA^VUl`qtkOxPK+O^jIMt6q7E9hLY2Be>uA-oflh(UZQ~h7*x72#ELyz9~hJw zQ6QYg-atVHLgGlRLL-#XMgJWW;Ct$=e+GQ^fBpk3Lb$}k$@}?zaI^_X{sOjFg%vm3 zm0`z$$iW&*r6Gx(9+^cD_pec(aLZ>{#>`^Xq{Hg*V2oiIOLUgw=$XBa{6vCSpMu71 zxak^we?i+;@OB&6s;6}1c`MYNJoxuTea=*LIxVX{zLJCr_hHU@iszNo`Y31Jj_&&^ zEt6%BD&vRRAYN}Wnl`YQO7~s~bUM9Ik1B-xmIa>B4Zq{cBlti4$~sXVd?q-_I-&Jy zzZ)Lq_wk6(u5v0}-jT=|# zg2k2iMZgsKxE?s-O!CCTp9ESU?}7YpmQw1u1Cww;DqaEVU@9e5mqHnkb^=6NZ9_f@ zXUiXfI6Y7&>&I_%>O7SS^fXC*h&D7kCryQ$2}iG`ujjTDuK+I{<|fttYnE8Dfu8`W z-#Kq^S$3nrV9r@BE>16yt|C*y3COnWQfvz&|M;G!Adbnf7QQ8Wx?vhnvoABQ8$aRY zMT?@U0x~_Cm_GZq-wg0|&`vw&M{N4(L(l2z(YEruhSk*D7t@H>F}$h(OMP(1hkwnq zqIGThE1;pYAT|rN`Sw!)DmL>60tRYf9f3mR`H1cjsh{+|A`sgj;@0+=S^2?=5FV z3(F3`X$%I>E^vTYzyRS;3z4JBzeG+e#9%iZF?1pO^k>L^8aTccL8%)WUdvw9QxarQ z2_c?e5D^x(s#hb#Tl`1o4BQwE6o-Ks8ocD~EES@E~yAI^@9IctA1~2u7zx_I*Uni0t z?>0BhxU%DZ?K}j$0+LN`|Et{*g6=9VJ3kn|^I4u#Pa*pp@2)lBDSc4X`MaV3zRC^> zB`)bculB#M_4XL%mj1U#>Dhw1Q>n4^EaQisF)!t_8JrER9ZA9okjsF$0Yt5y6w`sy>1(($T*7TWJ=Ag7>nIDV~DWk!(azpf*Bp>00# zSg7C;lI+4G-t&flW+VC&s;3EXQ!7S(YzKD2mu#ZMP19B$XZzc;r2Xx;c} z0--J60cJBtUIeG(dKr~{UT!EJANR37wGu>bWO*%&G~M4zPfstO($`1;3(y8&HR15o zR|9l{8e^t0*I_$@@3{ce{mSQu9D(|As^lx?Nx@tF(CS3yM}n*@5>H`A-_5gWCf3FJ z*CVWnn%}1^gkykFS?^@FhkWnGl*h)Q=VnKc3&!$?Qf1E>Qh!Qt%%HG))T&Isi-;6Dp_g|I6O>{9|j2 z$ND&7YzH7P38Qh7Px;gFcE59enWH_jQlcd4XxCHGl`_eo>v?YC)o6mn5D*YRdfKZ4 zZb=tt4-gfCyAdPB+`#!lwf?09HM-2`G7|@xNX~k%BpdJ^JF3SS?uT)L{L5KeH)L!x z)Sigs>e0@q^nBH~=5Mdf+VcKBKSAq`=VF7Sy7i@EvHCc+PKXWEspyVmjm@#9SEbO~ z*~V+B_Mt0&^t-4Qv8Tq8qHiPAd6?afr%yESk+rD2OCG48^A0xpd}N6gvp|AbgkRH_ zS6wL{u@sW{FRzB#T_PI3;2N$K=(YH$xK5R>j=6*Z380HGVxUhQ2@suXauUkh-jqb# z{f28KlsOi0S1IL6RBcn{sz+QY{k}MV|B|W9&@&{WmN?;-LVK&$VMD=8*FIfE1p3iU zp}Zw%3}{9^fyjVlACKHBWtY*44##+98L^n4rZG&YzGYs+{J|TcrZWt%QuOi)KT%FG zG#nvTceQdCdR?*OX<`9#m(+A<<+(^P?eXMNN*9l5tVx%SsgZ2+b)0R+~_ui!oWpsm)yD-&y4CnLZE!H&jFh3<8(q`vI z8n(_HJhOZ)8l8QI(xj3&wm1vS6PgQh74@dQe=Z;OLWey!tA+P21el&0qq&pq_AW9a z>o(5A-fO*ferZ`&Sg0jRYn)g!>TN|ZYaS*Vfud`}|56!UrIHn0Ce|gXes*V7-zz5; ztn>NHeBRs#UIG?!k&8vkd8E0n12|FeUyQCo7h%PftC8u7Ii!qIK;%LUp67*32L=p3 zuL|C@Aw|?9m;drNVb( zdsJiY+y&P9)$=MT_@*f3klSo4m6;&2Kz79L9s)O=S1`yR2(|TUhVUEo#m+lD*aER= zw(#wMSJ$}Y&B8t3CJ0zw0KaGh}7V=1;x5ZKF zKv;MneV?#OiHxsQ46F5dm^GLntgecV+p!fG!m2mOfti}Ug|MR!8;0Jaf zGl@7v^nMfW&m8Pc&7rYereHu<$StuOIAbsX)CogfqB~be^@RZ~Nt7+~5o9e~`X<8% zZvuIp{>Z5yAX8_Ecd*{m^C>I%a?lnaR9KhHJnyEG_uQ@jlqqTK>2dC#Ty^^PAJ2zG zdRvEJ0^Pe}qK_DU%v11Z)Hwojfo3;^0?V1UiZr^V_A3spIuT_Catl@9yB7ttu+Wez z-*XWc_KMd5c#{G`RcjE#PVu7eai9B)xz}tMTgoq{uLiwt^&Q`z>tP>nm1}*eZ9s-z z{r}(6vuI3~RacH9@QCZAhRghDnRKFCp7!$Tv8ZFmQE}jalMVA1KGSagf@Ll7a9*3a z=IBSnRG!Okleryaij-soldkRZ&Rdt|9^q;d6ZW@k_dl4oSLeZ zO~8PS)7Q>5+H8UcY@S5?ZtNQGw=Z{84QeHo^|`q{?!iR&fY!cR_S!9-Ay^v?kRMyU zxbl7Vgl;waC|XksB;*D&Ib#-j2)t=2z~(^h=5KxT3+Vd%07ugl{;$eJqptP6gAsPw z2OWFqdP8K-_83pb*6d7*u#Vs;u1EIIHri-y(ZKK&#_*#aI-yaLZn4MEJ`p1=v;>P9 z0}UDtOhjGi-J2MY?_x{+T1YIf_%fN534nPVI9lvH5)M++4i_?E>zmSd7DPX z>`a4uvz+n%ry>6WnzjI}cD5J}ecWx1b+Dxz2Sf)B;AQOk(`5}s4D>%|=B6%Y&c{2> zH4-{u3bU!alcFkYYEi>uR0ax8lOBtfsYg}I5zhI&r_ipNp!TwpudILdBjf;Zl2_N5 zYyK;&fQSq|88MvDSqjyM0}=|r=ap;M>%Bns)SgU$+`0P0Z1%vPQRXqocb2OjFW8Hr zuCUjMntoM(dH9}{y_rSR;J~U=Q@$z@#l|4wiQ{j-;9kpq7PCVimgQ1t09*tHH10M0 zVbMPkUczMCO7dyVS-k9^5DoZ5Wp9S^qaC?)OJ#yXhcUHppmHYjKtW|KybDCrIlB+<}RU&-Q%HGuJ*>nroGUQAhRy>Ab|Bzf$~}J$XJp(Gf{g z$`s<^>dCbU`fI$|Q7e;bQC{e>%5`hmk{!(h3tzlfaLnhU*73%4pu?sj0-82~BvsDv1;AA(boM?VeNsisUj~A&ujivW@Q#}gL}@Y$K?yrLb+U?S8&t#merPX0I6V(;B`@aEY7g@u+sv8T``m*dxtr zFG)VUN25(|5-C%JW+>X`6(jCsg1m&%zGcq`(9YnOyrcjo3*5vyw>!-OO~4>@(M*z~ zbydQoha~iehzF98Sp%YnucBsNO2eo=Ty!iWlE=QJ1yE7GN!e|;4E*pCI`1`!=HIGy zxmSzHUnOhQuSx#~PY)t!geMYwW)vY`vFXR=t|c+A3yrb}SK>C;hXsExtAOWXSn}Fp zz?M6zDRlEq-g=L99-&BugPCfj;|tPLu1+$>Y8%`QO&eKxF_OB+%e*t4zj~RhXj-K% z{1;J5=eF$tsm#VT{{GH9q{DUJq>*6uO{B<1W2`fzy0d9bZ{69Fq#_ck4?(pBEFCLw zpNj;?r@7OC(`ZLEVHmo@Rc9JUzNALqGlF(P?jG2H4=Z}yYEYg!P)Bz!WLdPh^>X8A z+CRrj&~HoLDh?JQS}OwUM`_RKdJ2QVM|I0vN#zgGSAPIk)r8^Z7N`S9&Vi7`qXX z7koiz`LaIUDNnV7rQiPV#i4ag3yS6NTic`wvcg=0| zm&I$x`>{jvG#%BtCyd8~O;0T&P0Wr)xas>%VDeLGTiS*F_tbDS&M*V&ysLFv@m6isr$HI}V^7+`?N7Kku z&U0OuUzxT@PxTJZFvXnbOj=ga#D#v20tj+q`SHvl_DycS(1z3yB6bxqA0uc!m||Pv z&Nf^B!~sNd&k0NJ3}GL@^Qg9NUSWOTIK+5xm~(D!O-c04JVVPR7rtKLWwu}@rcIUQ zJy{fokyNe<)eh3|3ey(~Z51+`gx^)>;x|m5-yM|u&eCQN8+2M<_4o7N{9ULG#vo4t zIXq61;~ufbQRiw%nnRSBt=Oa8^bG|bJd)}kfk-T59(k|4j^E*>T^aKb&K$30 zb{acx&9EX+icwt)M(d@^xcAlAY5h@xlD(G2gpXcF<b11h_RE>N3zHvO{YL;vt-X; zQ*{o{(EiNLw=-6xq;iQdo_2oT(3Z!@BTwuEW&*Fy%!lQHz zhb+1{&gO&j24>JF0(F|08Qv(HPhh>XSv^cSrnB-s14gncz(dIt@;XQpUm&*3#Tp2? z@Oi3yxuS8fN&(hiX7RbKmKumIb1_$fIc$J-EQ3Tm<5HKN_K$>Wb8U|t;=pqQri0f* z7&)qaL5tM*0QnXwnY#o9b;U0uA*x>7#eDlyoGt8@F>YSFJD&Lw&(3fE*NB!ct*W+$&?J9Dd&p2pu^9v*;@nrl z_z|KwV3W7>E87lHawy;&KIV8RjFEK*X4$)_u{%M_md|adu8}~pgiHK07#X-u6yf_> z?>o~20TLI<)JGelIrZs}4C5Dor3X@CSG{xex;y~??a)&#QS=hSnUX-61{UgDcZcA; zR2?js%>`|4CI~a2LJFF{@ridzLu_hMSXSI&?mKwc$QB~wq3pAtzjTdXU$ThLYq&lc zC<*8(F+eJ!TC@x{aR@F_{f8+1cRnby0_$%);c&fQ=oPqr(O@*<=^5u^hSbfVtwuX` zE_Az5B;`3#R$nWtfQKN&Gl4bCDSn>a$W6T@x?#E`$mW)9=4IrTC^6&`0`5AurhL~5CF%^+0tu>i-2d^(>4e)qHeiZqN zC(F}(#bmz6B=xkhKea--TW0RD(*5#<^;=`G28`$kYaW+>*E0XSEwARz*lvfJZmCn* z)VreC-?q3KD&KlbUHfDwqF~E;ea(_~`8QXtCYAea-WB=1PaV~T$W#_x*n*)&+<$)n zK;LDU#Z-5mkgG$AqL*fgb_FwvOR9%C$bLWZ4qHp>-x=XN+~vnagyZ5=vJCIm*37Ru zsXtgyX;|@r6D(7gt$ljdrI=z??ii1%TnT9Z-n=)P8@nn&A8a zG0I;Euayb|;@8wd9X1%II5LFMbvSbrJd!uU6l;8U0kNJ5S(2d4vjuSZ?QGVrBSm7= zo#EA0GU0xAml1QveMr0KWW!cj$jqSm&$hO78e}tAfvyXEFNep)lba8@lPO2-u|r1^ z9h@w9V=F!F>aHzc?G^%;RFlQJ58ozRf(yKJ6$taoRbtt zaXo94I(~3Je1qFj9)^a$?$qN4_0kucW_wVk7HOGwxr`#_6Kj$lKnksXJqTd0`-kQT zNu^54Q4wWL?_2J%zZ`V5@)>7f5zKDw;WHWGYK~|Qd>7%95srR`O(h0D?eb-t5sAc% zs>jzQj`R+cz`JfH-25_=q|@3B895P3sk2+=S@dGm46(eBWU<`o{fSl);;8=cUeG-k z(W|<$u9NJSgmPa__JVKJ{qB4xMRQtZD3CE&^G@oLGCu#}$Fxt-lIXt{#uA+?;+mI0 zFhP%_p`xTL$&Q>E_8jU|0T9kf3>uc6u9rTuT}7;WU0&`_D;7@MH8@e0eWZUT+UfwX zM`8cR+Rz+UYcxmNw>=(Xdq}I)ZK= zFM5RTJqn!SP7iW7J*G7$N;<;tLGsum6N#}eMOay}>5TJc)Qg|cwK!`52U6P^p4wFp zF3E$Sj{Q4-c6q>bKnM}e6hERG)V3e+4jD6sopvfANcm3RbX8V}6;0zwr@uJ*RgJNR zJeV)Y8j5z<`AdOVU1tHwPSy%jG+&QY_yD`Fx)~a=t~qV1BkdsT2N8peeUIFuEd`!9 zqR*C>Y1gJC{+fwg;iusj?E8N!>VOcZNx8`38kDfoMVUeNgp&(p6S>zrO_C~(jooh_ z#;g$aAV=-(W1d3&?G>f!zZ_a`)mFQ9bf)p5%~v9Hl^a{Y_-)^LaldZ&V&SOIO;f2k zSB-34lj8Vu!_tVhd~Y6nk)Jvuit^=r4KXJ+S{+wwfhXks|T>>iC-^{GofAJ8OCqVtTkS znL05KK-(~%F#n6IUB1*<^7)+Y0>*MnxKM!7*yx=SV z3{T!dIwZftNW$nIRXn3?#mwj{mlKvcR`s9XPU%WD_er0v+46$)zDL&98?dWsy)F2w zo$2%Jw&S*<3v~|qfQ;RLV6*W<%PlVsAu#pWxvTAyOiK`c9L#(iOs+7<)M=L|_r9f! zs!lJras_1f=`2jQ|&-4q@IAqg?aUp_Qwc_`bG7UxuZa$=`9IrGRw9?SD( z39aj?Vx~n={mF4eg@O7poPQukwFL;CV~z=66Yxs)-yrS*>{*m|u=x&9WT)#EY{|$o zb-ylqDzN_Mffula)dX%0u^}98^OwyQR&pd zdW|ObTp!Rp=(kR^$MBErUeJ^LCQe+pM2Ll5jmvevR%%XhZQ7=dP%Mn>y{(hW^PXX(CJ$TtAWCDeiI8iZvk{T6_(I*e&` z=B6;S_%Q+X@t8GGGiHZs%&|$g`-(g!s{!&+RAH1@2(7}OV)D^0PyG$0z>gQs2s(eb zvc|%jhbJBdqrhr79kJU`4usv@T3IujnupYFS$&`>afC!ZOu`F}T|D-N6QtQ*e(PM5 zMxcOJ-%H-(>}1ir=#zm}+F_bHAMBedLU* zh+jx#)S&(&;-rwjpf+Aam__j6kynQ^4OU-}U7N6!jtPD7HO)!^OHXh-8~9db9FUI# zMpkip$tzE!wADXesf=B=%>}c@J0%

    • wNB7N@tQjl$iDYE|yYK}OX{hzy*{r#F< zee2k5LeL+IdZ9mQQH0yaAY#B8H2xh@i1~AaZ!4aEUZ-T~Wl61K^Z{e(Fe;tX`dS;c z2*LeARXC2@=|u1H5*YBJ+f!$2%@81XcNw=!Jyrl{Ony*dp} zz79~g(>6Eo7a7m={JnK=aJs!&WZwX8{M@T=LDmXx>01y4o*lBxSjDt7*ny%U0E4Op zxDyLyoT=0b-Vv}Lq*_MRX9}tf>vu?ix7M-(AJI7+wPjUIeE!aq7g>?%lU+U)6EWpB4Z%IMwDsmsRF#sJ zg8Ayg<~oyk%cETPA<4T?zdw-Z^DVi*LuE*pkpgRqrHL_r^E+SPmR}j>^zQVAh7%; zev}5z`+ua=L0C)v*&C=8b+q>}x|b*nhHU^CCo4Cdx8@aLDo<8#dAs-O=Rsn*#NKF$ zZK_BF;8|Hd==V*(v&FVJW}e#6i4LtME%euZpCqB>@cw&f=cjSZ1khhp<>xI9H*$Fy zm^OnAaF9TA5hkx6wY4lc5PiEkg}%e3P27_u2VN~Ea!?taaQuF{YapzS6bPdbHbDW% z=z!T&J`a|ni%i)w<_j3pn849(VhWBF_X@C=UJcr}f%y&jX5yfA&LNB~yi}uWpdL*3 zkIR|_-3U|_LEnMJZtHy#&#b$dAF9atMruNLjJeB7lXag3j_qtMq1g%TT@E*4%eXO1~ zzIRme!{{G5=Rihu1rIfI3YWi~s8kJl*{L&KF-%f4M7~zDOlh3RIZa5WlsqW`i_6dD zQi5ng3Xq3#U|ZqbMYmFO`5T7lwH(eLUg>U^b^w&rZGG$Dh*zu$fIBaGps65qePfZQ zg6SY6JRB(k)p<0yTMUKM8pkeV&&DFFdMmrBhL1x9!My!Yu7EHNDmM1O>#J|})AanK_Wyqm?u=*{Rf^jwe^KT< zJ~}!&*5eC6PaVM=sP^q@Jo#04w&pXUZ@*W_^`+Csg(nBD#J6CL9ex&Sx+9HRaB-j2 zm#VNeexQaPCoWk7Nbj_i9!zHhV{<3QDjf!6DS$?vihXVX+p-e+4Z?KyQ>s#NP3 z%a3eU9CO~i)R84#*5Mh^in_ztdR7otyhrLKdV(+SX*jUS-m_JO8$u*k6qMd%jA!0V zA=da0I~+jbFk0%)S4{5Ux%{0V-LsCDOC;Hcle-QesNfRJKQXPego?m5bgo1sxm2?Z z=HE3_OBC145o@F#o(k)~-{**fT4`?dOKor{jT1TSOdq$(Us zbxEv(aDZWCw>$Cqr>mjANUp`RiC^h&YL% z`6aKEM%u9yTm}dMU!UZQ5r0Q7h7v*0J-!Xk$^(IRW#sX)=~o%+vwrv7U}^IvXyg=- z8G-C{EP$z|YU>V*3si(EcX?*LS}W((LA)jXEO1QH!@(e2G* z-1~5nb+KA%6d$yMU>}hqA`D3f>y*G>?z!u*pmW3k`Tu%MB zN8cdXtI@osG6G?L)>YcxquNAB**#XGo4B=f1W{=8eo;M@;C)98`3(-264+nU+`cZf z9V%9_rdcT&LHH+v>5AIHF+GRev>M%-{^Gn(a^_ z){}7;B};Cqs$o3`dM>N-8D}xd8I$jR3_!mTHfv%`NWb77LgXow%l`UL?f*V>p1WJ> zB#4};f&e`EeahM+oHS9GNh_&pSp{Bad%H-E%4M4iM#w;pXRcM>mBzI|5~}em&u@JK zkvG_)(|4F-siCEO?9ezukE243a)FP9guK{uQp;=*ToRWivt14y8h)JCh1!W-%Q=8i zC7!XRlcq69$%ZgQ^)xJ`vhOD+Hq#p?q;A1eO84jAfzW7F z@^9OtQ@gNCEJJ4|F)O_c?vKbeZD&8RIexd&HN}Ght5Jz9e{AjLRb%WQ;gdu$nI|V8 zEva5Z$jWmW3z|bFvS2pBn!4t+>B@A|f`jh)=6_ox6$1a-T7K((150Di(n7RYj*=GY za&e6i5j?asTvX(ftr4%s?B*F>YJ^o`wIUIt|MK5tzVMg*O9$R0HliXx`V#B{HNm)gd?_eh98PYB}> z=+V6M{L4xmw=B=Py{sncD$k?8AyS^-O)pXZGvMp;J)3YOS3}^R`63w5R+^_@I7WVv zzz{4Y9Bm_8teyHNw3fdX~XYi3_SY#uW3CnlKMjSO z?8;=$pk;zos*FEdTh$RilBQ{ox_+HWLv0Z4){H%lKl1nR)R&8GBVeJX`iOInFCO<5 z#fTX1He6y;^m-D*?RnGDQ?51k%3;VU7XK_`of1?dJ)f_$Ac->>>cfWcw(9RPMbM3{ zpTuRhwwXSP_*Zj!#vZZuN#BY|qKK7)pVea-TN?RW>ajD*h(r7|yiF(vt{C)(y^mu^ zxp_L?{ZPO4W&pXfN{^icIM#aG@=Y!0*9o(j$`(<6d};HC>cRaaIFR0x6~07yDT`Jw z-9#$e!)tkm2^dB`%ikdw*}yit?O$ zh;+QF!I#p2i4_<<>$Z*@32@(J(*g#i+FU>vofU-N=TR5r^`A4_n4R$n^P>=;wYMMc>sno37O2%4b@wj}Br zYXN|g*rGxz5mf1afSWoW3xCEAWldMqpY9V`U!!A)Y8dxc?M>ae4(Vm~AQNM4-5J?4a1H6FV_Tyr1sVRl#14c_pF5n_{L|h4kPnS`;G48nlPjj9MW00fA_nB@7 zb}zG-r+h*HGs*#l3Kr}wG#fp_S+dN+IqaMI^<+^H;LCR78DvLdPJzp*Ka?0R{?9k} zP-W<1^Sl>9y=-ix%R*oJGg31HDuO}$Ve!u zO#w;-T%UbB|KCjuIj0?l+{79F6)Ms;qei_z3L(ne66DuWj&;s7MO=_1z&}gO^v+rx zU)=YL3kwkaj#r&tcQacNxDIY2VJhi6B?*1mBkVO!yJDO0y4oAI{N*fh^N>~p+sFIb zwD3t#U$RG>b9WCnxHOSJA*%l?Q%P}V9jh2?M5WNw)Cgy4(lExy6O{gn4bxRKKW1;t z*y<;{4e@9>`RG8YBE4EzaZZ@a*^=Th5H?CvnBzwREpBf9U*Y9|9q`>E2bQNRWd)Vr z($Erv?9yRH$6aD)<-qq4DnRK9#` zw1}iwoSdb*e5mr?STIO9_iovJ6crV5BQY+L`L{A|FR-Q+;gO*w8G&B(+*1>0?PYxl zN3T5Be3J2=i$V5M=#X>OfBwbY727GSk4L$$*@^!Arbuk>a4pRBZCW{)H@j}K^@-|i zxIo}It3_lA7wh3~niScKHlvr2Tc|RU+1LHR>2WN5*J*?%{Oa+=L&)3zzd%tB*Lo(u z-l7P$OQP-}oS^*td>stM^FyJn!%4dzq$w)?c)JUwI){uW6d!P4ac(IB!KuX+1MVf$ zNG2vCp{r6q<}OS}oDyW7$=uqhg&)~%=8rx}1|mKqS28RHw|(H*5VS=m#Azy`1NNsy9kECIyR zo=348m4Oatszs@BL|Ire1xCaMPG-Z3`u6Ex#MKc+aO)9V$*~eDa%gEPCm}vadz99$ z)7KX=&gb({@g!8B2SYZ0iDL8hAM{UobV|-7dls-I&$QRg-0=F=E%i-I)*X_;{sf`t zRo0BJe|0h&S8h49fiov<^RIb9H2kT{(f2w+k$>R>r{NQnG@&#rm(=UoqMs)3fxGf?ROE013 zuSe(NamW@R>5!gOA~Z;UPt4u#-I8}i)Euxas|>NNTc~K`2V1kLzp}%GMn@c&Mx~!G zXZzScI^1c1u=_XQ@VKjw6e2Tq2G}Gt&dC^T7^EZV7!s^( zM!N>g94k&QUKfT^Pa=u0Hn<4xrgRy>Ih?AHJ#>e@=AZ+Y$ostyx2=)xgtgnA=WN?|Enh0WfLb>~x3poKc^7xsm;i`|3| ziUtPSeMQ7~(ZQo)Ol*?)4)jxvHVd?j7{PKGu3_7T^RLCW8dcWn+=1hB0+@xmmXoe3 z6)E~VSln?%=@}YJiT}Cae?GS!^iVha{NVC=oY!~YnA5bcy_Gy8IX(We66qm}qv?H} z^3GMv2$t+GLhu^7A?`b`3ha>oyg%i23S#O=hqjp+?IIe!ofSx!9|3mm;=u4(olX61xRF%_ zn`7XY*~+owjf%?bLj}elcAx*tp5qo%eJJoV2XhMe3R{HGa=gZa{H?c5qIUp&AGJTQ z3;flHb^~@f+F~gf{38Os_e9qdnKz_>m*Pa)I9RQI0KV_HE*Yn*CtNPAJTFEtq?qd8 z;kRoYwX_xboD+V%P4oj+6 z&?+z5WCE+yKvMB#$r)s-W#Qrb4y`n0!Z~qu$D;zz64g(Nu2;{#^GCeCUn-D(9UTOs zMa`lK^i(iU0H#ls;rN*8urD~ft59-kFcy94$c-Ei0wZpynYR8~x*O+$@M4g} z1>;ukA99=RVh#3v0Hn11x_}zrp1xG={d#})S7jU+=s&>Apzbs`0Kz!lmpC%{^sCs< zL}bT@Mx_Y9Rd^dOTDLjY#DurRbrQ$MEGc1&Jnab;5X5KfH|$Q>4Uxz2(eM49OzR`J zyuUqOoK9RP>$qV2@8L6+PG8t3=LBdtt@6t7|Ga?eQ-Kcsl$>?dQ-V;OK3RMner5jy z8vdRWpgImlhnO#&4D+6Nn~dt#px>M7?7A*SQI^2DkgFI$RGv;7U>2<$`_yR{lW+~Y znfRL_KGL9Sr?LySLpRo5AH1*oT~CqZFk$HfdLg>n^!WPfTl}~JA~G&n$|;)^=obP4 zGH>;+>T1IRHJE{1C-&WJ7@{5(DF-a-4Ioq>2AJe1e)(P*fMc}m^+nTX@I3ZLc!@*| zO2v-qPG^)D%-k(z1)vbQs1YFuqiK#LMP=sJ6p<% zYWI!?miERAzKZa6l9c`nypNfAzCPQGJbVq}FY96&5`9gWIJ3{bW~Q}XKn%M*UL(;m z37KWQu!24IQyv0_G=)uTW)y`yC;gYVj0+Gn5A;Y4WSkPTLRzqPjOz0qXYsJ3#1gMi= z*S6A2y>F_c;KB|Q0l!DYCI=fg%Ud9s*bw5NGqZHA2hr7DEsN6T1e=-ydB>%t%*$yP zlr)xa6k}!KYu8QXhr%|>J9sJM9x^~l5@;%5o$qpYZ$aMkbxe35lkmDte%PtuG>gpF zNVa?aXzcp*?Qf}U!u<=S5^kJd2B7~1`cs=4ekL23F&HXKtlL$v$Coc z_SZ#ST3M(|Ye+-vOdUdVgyX+CzL2pM$u3SHB{zX zviFBCGm|IBG!Xukk@jXsl=Gz|1L_U-%7xa*hhE!f9wCp=pLq@cJ?;J4=xy}bie zPo?bD&$0hXOv+_u$5+jcpCRMS@m_4tTI%g*G>p1LTb-_Uil%V9O^eLUN@TR1Im*X0 z=RRq85^udppSIvj^24i?$8wa{$SG?STF!F`W2Dk!>0ixQlB@rf%(NPkIx`jtDumv` z{K!J zb41`W{t-&pA9bn)HO0zwf~G3SOJn73vQ{Uhn(^v+RD=aHq>xVBs*1_Ae^-s3e%X-G zramd@G<-9zG{~!W#X|U11`@$ZIrCJD)$c;7o!~BU+_6`Kss8mGg8y-~BJu8PD!BC8 z)F8qMjac+Xaj5F4Pm2H=f!7uI;j;V4{C8#JP!_^p?JVIG-XOmP;}q?0`rV+#VyN9< z27ycaVzbom_JS*BIS@VxX^wja0hgPf48r0{Jh`)3O7uHL#%)UDgCKun(1>D_P?$02 zJQx$Lp^pbWxfZ&%pZAeI5}mWVK*iq+=$y@0&|s zh4_IUH%(OS7g=mH#maK8Gw6gv0pCR3!~Nw0;^!%2sl`LOc&c{=cmjGJiJQ8{^Iet4 z>pl3X4I+sbc>+y_^OHFg3bvV!UhYh2bI8rrAZ6sFzhs~YUw;Ss=vS#E%*X4Xq zQWFX2fy^!VLSg1~=HC%=EG0xD_G!%#(OuV=YMNyOIpl#?=~ud9wbQ}QOg7~!zJThQ z_DgnSBLX?2ys8WfY?P^@-{IQ|peH04E8bNibjR9u5anI$P6#@2AMhJ%8ZM+TED;&v zfoy4MI(!led|FjMQZx4ZA>$(ps|)_6iS7Q;EG~{ESmrZ~18B`}yVfNTP1ZaU&+0^g zSt$qbYuO|WRV968qN8{Zf5!%#>Sg#LEx07~%T7>^#=wv9?4uM7#$}muO#92;u=Jvy zi5EkI@bWJwg(`xxSfk;u4&ko^;Oq-Mm5IX-?A(&)uwloi*MOM@WhP&Pyp)W#y->%eNd4?;xhDvSzDiW zzw`a?Ef7t`n}69ig31CTrD7e#=0w!ouU`J$K(jM4K?88`V&=okOj>7B?zuM{RhS<@ z;d9G);dN=5XVQ7y+SodCgwZsL%fpFjJIlbv^hs>_%39~@I#jGwSX~WX_{Uw~?YC-L zc`c=(9bEu(GCbN3WNX6eSJc%o}85=65#r zylB^3?bAl~xiI-%Zo9{ZK?qm&Q%Qp)Av{0~jQx&8H^)miqqlq>T><;5s36bvbhaY( zIUtx>;Oi=5j&8OA%0AR1?M#Ho>GcijTppaL>^=$$^QHktDF`5~-lCMEQTB`urQL{r zezn;-)+Z%-B%c)Z6zy5-do3Mtohna+;ro@!>i%u$*RZBzWDNxUIJmVg-WS?&bamBK zfNmv8)r`-!ir1&uUZ!Qd#ldwf**L`D~O(u&Qow6fuCFlkqJSGFbUS17VsWUQDJ z{wKm9&TK%pibO=~XKoui@HLl}h+(8U*d|jzK#gW3YOiOmEcw4v8(CAel!mci7TJe< zfyPj(F-qp0N`?NC`tS3u5$`ONXdtFfNrYyyk52;aZK8Kkio?XDNR-3q6_zpAenqBm zSJFF1zHQj(r*xe)cHQ#t7JEAomx#_NwfJg0Z~uk3PeVbP7G-G!9Ke8J676J~5@5{c z10yp@-lPR0Aia%)g|NX$seexb!|atPj+vtoA=;_nZ$?LzYu8wP1B=4Aaw-I|P_Z37 zhJ~@d69Vf^Ih>~3c{C4=w>)vGq5yT=x=qi^rJ@-Z{Z7#m`ij*x5W-ZPpy%|A6KaG4 z=FB=;o{`<1KJ1m%SlH1?G7oOjFzX!s5`=8s*oiP0>dLS)gsSYJ=xlDj;ujv1@ANt# zyl7$93ZEN*)KV+$_jfBYFKdcoeJY!LJI&!o zMQwRH$|}OdHtQ`~>;lkEHLqoPS<}e`Wly@i2%6nGxLhLym8apbjkN@X3OYxKO31ZF!qVG6f$vCQCDm8~PjKHpUGv#H{|bauz8_lyLb_85JYbg_%L@ zt{>T8sl6NJhy!5s2it18>>rrwPapo_%Kxv?@wwei0J;Skks2M3M1PmoOF_Oif8c-r zH$xyJAFC&HOZ6(A`y9X{lMU<)UfBT|xBc_GU$=r@o0a8wi*e$d((s+-9rXLNUNV?I z2j^~IK{Z5uhMG2UOwo62$Q_VW5o9b|${+YTkFtx`Vz;LlT>`VjN5o%H#97++CF0)* zpFhaDbVc;8Ix_t_vM*dDE%xmkr8`Q*y0T0hz ziMmvNrw`iVDT;)qQ__qEU0%a1wn!h4jJ1?@7)e)jKj^U_qOrNXrI|`@Nye1Pi*vEY}X-!`1%xEq6ge9Keca5(yy{RW^w zI=IX#IngZinSd1SYzM?HF+>u)VVD?P^FVbODNJDK0>aNhhLZA}sDFdIV#Dt|%Er_4 zz;;nA9zL^f*4`6({~u2IT$K(ph63dAw^4<9g4)eqb%d1@B#{0_};%oi4 zzaC7_S>&wM%q8V`t>cLho0<`xL#ERRoq9Ot!z+IQmSrw;F#ertrIvO1^v!Y+EJ#vV z6?jFI&N5T10CWi3)1#d1E#$eia_rW0$k4=kM>ujp43ntR9_KEW%{kJi+006n;Ag)w z9L>#a_ebz8oj#H!a0Hd4gev6ZENu+a5m)|1%S?(Ym#+W@HDQX^oN1%torlS?nKCgA za)eFQE$^yy)O@kK)-FuoS71a8H%{LuyiGyGl{9`Umi)12%A`MOH6=W3Zs2i(#2xV5 z;Q&s(A5V1sRL9QP{5KNqtpn>)QvM>^jzr&q(8L>SgKcT84vVc_xurqJGI)&i5+V*J zGur%~IpEdjd!~GmPLv&PR8!3Z%iKi5>HV@WJ#BMISa5>f5Cpun`G%{9BhJxIRlU7# z^h3#fYGF$9cwZWEp)Q{?K9=^EtkW3-ItTD!w17bLD&QPO&}!`yMlK(rJoj+@s&dOT zUAW4y+#bOT>K;eWh3Az>$$yowzHZ=alW)LZpUk)v#N|6+w*6WUqvf@81ufvm5aRT99!Oyrf)A*74F6zlHF{{ z5QiO$i#WvH%Tp59(OSKM zt8Rj-00#$$o$RpEg^xtvqu5&1g%(uE8T^pNQebv~qZ=6+{(_XkVw4`So;-ivY-(^d zvzyyK1@gr0FP5pQ?+C;}Gu}Pj-LHpPjv#!pJaV9Vd48b7(yOAjr4re)<;otJU`Z=f zzT-R;Sm4a_IrP5{#-b8|Tjwu-i&IyTJzx4wo0!L|L{YD6_#tW7KpDPs6^TAIehl=X zZW#|%KfdI}R>*40N!2(#>xSb;G4(|it>!L=5fK;#!b0AbB8|Km^t}&Kh;^yilLA3w zdsRAW^|Yq)%*te8Lo!1hN-X0N%`{JG9M<$_A(}_EBxDq}O%!nvU*{^PXf>7(n3e+| zSz18#dTIpV-86_cE$N7*5E}K%jYX7jm&#ACypZ{s9LMpZ&&BX9&@AZ@BNFE=c&tPp zN_iSslQ!dM4CU#!`pnqAz%NV}J(uaASXE{5Wiweh>a13RWbFOG1K;jH3d5~*9uw86o2SU8rLk3`z+9K9+UQ3 zKY`==kJHDIQa9Ocj?dc0hVMdpKuuWoVWW%%VtqXJ3Y=+)YZ)TgvQQpKVQ{BW*y%f*Ha@ZMASv*>m#wMk2ZHJ_++4E!)a_H^ZA2y-v@PrHC{G%f6f z%M4Xpd~x#_xe)3ngjzAWU8jQP+2M*$U){l(e!P*Ars7(W)cD&aj0@?KgJqdC z=S%|QUAboL=)S*0Tf_bRYkm*4IIqsn;l#!h<(;^O=AkfBk1)2bT$69e)Unc|jKh;C zBi98E&~fQ_5&9h`kBggdOP98f0k1NW-s@7g69L6MvFV?V&c( z9hpQr`+a|Up_jQ;{xcP39--1bheC6Tg(!&*4g7)~}T2GI|6xF_AP7L3THt9gf@%+M#U>7nzT^f>j?oI{?qu}@9vuR zZ12a!?_Y!ZE6kuLqx2KDuoq3tsj2D|%eft)TkNKH8@#+GsJR@N;~jlyyhhQ3;-&Pt^X z#7HmTDx+400OUmobqt1eVKz1K{KM{*AMDOP%n-)$^(EZ1KzKiKAdU1%NX1ky{vCUR z1g~3zlGJ|8GR9)m#s(7ew@3ud&fP!wm2|Xi(b1V8_Ug#)6^^`U4(LIQ&( z(|~Ry9$WUD@$?|^@Z}$KnpG52D)Mqz8o&uKyV#}$OeJYJU=NFsrUep7c-1M!E@jcW zjy_;p^7qG&RX2j2kp!ZvyA16n$=z&ABhNR^OrPJ|A2fR3$^K?FjIANjf1xt67xO(( zO3z++i1vO!GWD9REQ~CporR`~ku{gzwWLpIM$T|OS^+Y#UTb`M~BTc6SNNFXm-NCIED3-O()&DxTtoB(>75yWomwz{-p zfn|Na_)XH%PTEZtrF5jea^Va%WGFD&MpeufCsEGsU_Cg z?KZ#n8Ey?o#57HUSU+QEcRWMA_G(B<@8_aAim1z)9LeleBhWcm9V>iUCcFuLG`mH) zkl~_~_=b>7X}J@f&2u6sjjQlUY@;nt`rN(KlgSd(*Bqp%taLrlQ>dP2>*=47SWkt7 zd6A<`-z9OEr@rPR&$zj@)$RXA)X})ocNA|@u;LXeD9`{9sYZ{m09Pvy!(&4C8`g8()KYqY(etx(IG(jqV=Ob3 z7L)INW1wlS(ZH|PmY6+>U)_b+;H{NMram!rBt+@8>;8B(vFZ~x}Gc3|)1h`6CJ z^N^;U1$`b2_|z>@!=m}a%Jie81_iK4WYj2+TXFGSQ>aja;QN&!VRlI|kVEI7)Uw{x zj*95bym-MQPqiIrUPglf<68jPCCMXaaWy7!#|}^w3QQj#*nCO7+3BZN{gR{2Qjr!s z^rc)2a@B~tl?mopL9(Vu!?nxiPa#y|D8C+Kl%eyzPWkK0-@0kLXN-BFYrl|!m)Go1 zL>-$uYdUU&7uZYd0)tCp=ix~*GuzQvZ~A^ddy`*7cOvX_nFN=R+K|tANPW{uyYi>M zBD?-Mj}6F34r)n6U+nvpVM&K6EUzE1k@x4*BbnsL$``2X6-3oVh$N>id1jhOhAiOW z1wykYQ0>iI9qfJt=I0#AKue*UaDgqhoeRy0_fTwRL=RDZ(>t$-=Kil}OIFxkl<8mj z=xFI0e1hUsojyNj{ks5p;0~<=8abF)#9td$RDEq}0g98sRq^&Ta70vC`l`L2Rt%aO z_l+$9vX$npJoW?&W(Kmd9B}>k)%;K;QQF{AZKRN)Yx=A2=z@%Uf)`ms!g~p)#m$$`r^`##TTw^r2@A@y?iRN6 z>eX4aG3XVzx+w77=Rf)T@i0tQ;aB2``Q!ewQ1! zuCQfX{9Nf7s%m)mJyOARKDK|T4Wo$flGk!i@FuL3O8pYV<8wvec$1Ykad;Hj2%D8| z|Bribb2KCiY~F$ZN08oAW)tkC0@ub;=4q`g58sqgMuhq>##LyauNhj{vq$#as{S%q-dJ=7Z-8FblIopMgN;ZFE=T9O`aVcg?A(zQOgKI_~;vG zyxzzjeu5ZozR$?lP|;nhSfsa&g*hqgf-gu@7VtZ&(wj!30+ppH2*Hj3>0&kZb~B-S z=27@81n{g2Cjvbw;qf*f&X2SdY$^B*>*&a=lm-&#UW8{+s`I7xa5j)F{16a|b8m1> z*zud+(68cI5l5oGKPo6cLjE{1*4%hpSRVm`H5a4EeN|&CqR4CY+l@0G1px_+T^cCG z7esdQ40MZwNYV1XWlOCYi5uO!YgJv z-#Y~&(7;C5eO=0ig|GLUXqfeecK_0i7dlU4!FjSLbxYnD#yJvI^S3N{YWJQl9!`&l zU<^KC5^XXp^q!onkpaDrfsdg0CnusU5l)}k#K5u_Kvz+ijjm;+r(sEn_qj1izi%dt zLHJ+m6Y_V+=Qm?2{Y}?EaXvI#?4w@p2nFVv6zaHtR77`;1Fdt@p>=(8V*_$rhyPA+ zQ*9{SpTw1#s0Pp4w*J*j{weI$FDYt{I63C8IT56^u7_Yv=-mj3qz+ENqW@L@_5JvN zpnJUVkjNJrTll^73CwKwpvN;nH=hH+-G;=Qt0Yi_1Op<`j5I}O<3`g5roRNoaXSU)?aW?xJ_J=6!pgL6}>1raagOk(ovhb1ST63E$8Q zej-b~7UNIgm|5-~9_u?IQ(#k_(%hjH!$6v+fZn>12M^)>yflpS=@X55J3j6cFjTd| ziifr)6eW0(VQ2-Ld(@Xf6_FAKQCo_oq_2uX9SqN?Owe|56R*OqK%u7v9A>8~8{w7K zi?@~k-M#3*$PRXNXe>O@HOFtYGx&1dn-4I`$SmFQ%~7A?A_2KD$|Xlyj?tB3DbTQ? z@+4EnwjX#y<@7blYRozF{ft|c7C#3p^1QjK!>L@}r;SEUCC~AUSFm@D)#)BL(y1=_@;KGG;Ci&r11VdmqMcmBcZu)T%A2VGG$3J z2RQLZ1oMzXbk~U@YXp9H1Sa--Rs0Gdj)(?ZiON?ra zc4P$UQ?*yYFm#K#U(9)8k6hzDjPH$fnQRmbe<&n_pTcGEN{c%vTz*bU!D~sDi--d+ zD=WPxv-0$2iZM{-(EsEu*e)<~RMW~FfIu{Z@VYEEoN986lLGpr!xX!bW}*mwy56~S z4Tuzm%(Z{%lX=5_kue)9XAAfoZ)>g%JRJSC3KH3g6a7w#TozDIxl!L#`qk}TDMYAf z3PMC?bk`ah{77g%?`{)h`6KKl;Rd*lMmi6MV8>`S+!>=q49~N?*f6vxf`Z#yTVxoB zygILK6Of0PRT?gJ;OwhI5h1ZL^ob`a^I!7+x>~8SL8U;@s2U6@$eFhsj=J2RHb=k2 z{x&SlmkRO;zV4_OTj$-adDpsL2(|n61U&xmLdklSyZgDfV$mJ&DvoiJPB16ALc zpt>L!^&u}JNh>c|^kN8N5FX9SAIvpC-(?AD2r#9kgtbI~Qevb7y8%Sn3V(f6 zc`n=#ltQhv^kj&sH*ai!?%#Q|?i08IEd9#iTcBGgqz#Bs&w8mZn)cD*TyMPeTW+YM zQ=4@$mjCd_n5oNGr0ENXiECCKP+NU2hDOlEmLkWKlMHT4NV;&}ci_9CQ3GWDq2>L@ zw=F!X1;J;Yj^6B^x#tC>x-*kqAA=LFGH?~Fzu@c6Z^_cQRi`9gWN+F7U)^P=r+KQL zN>>Q|jir9E@cz>aQLk`>HIBDwT~Eb23_lL|`7Ps25}P8JPn0j8^S$1La6takdW53Z z(ry2`v75$c4-lm{r8dBan0wp{$6XDey0BUJ`=i>V}O~Gguy} z5*q4KVD&Dd?q$z(b=yGS{LYi5%EfKmz?I94RQrZT^(cs@w_0ZwX2`c9Bk4ZMGb4A# zj_+RWKBNjCr1wHfTOi0*&D*&!jK^-z1DQ1X@BSf!YC32Ta|Wo%6*fkr$R*1;+fTuE zF^CEJ)Sy>?JJ(z6)t6dt(0YkPHL538y@^)Pc+?oQ<)`JFa-OH&)YEoV&~dc~zvi9T z@@v4or2tpfY-vowW~BwHthD5(&|)Jxz=$D{wiOPYs}l@c*75@h2C`~+o9DyDE$gxI zh#<&*OwkzkDII8HY<^4muT*aAu zP_P&_=CF|yQjYV6MODvX_h7I08)Mr{yu@hNh7* z06y2^5z}*icC#;c+c#)HNuvMwGq7pHJWJS0rB7d}o(U)V>3T}V3m=pO=&e==|95H? z5W?Rm33+asr$Y(ue0(n{7t|)U>yVdtZb1@Qil9A|eW~x6XSPca_$AM%+@le-W6rgz zTMHHZ#*l+mpkCx!@RmJbw%G!O5`)jamnLxcR)WZ3?y+Zc?fJn14s8=75>C>!B2kgB zsMGE@GkGJt|8N!Dg)`>L{_`mt&+cFS3B^-q8^W)#jbezvR~OI$e|@WHMg@JH9O5-7 zPEG_|5<({O4Wr&$cB=a9&wH`! zFBea<`b6M3dY0j+<^Tt{oQ>$tTq zZec50mPFK5MuPrLai1wB;k#36U3%AKf9QU@EPQmCrv^ri;U=(gDE#jad#6~>=;Ev& znL1DXn5Pw(Zn>EI95g@i5A@a9`0iQTOYJ`ES4>-?R(#kD?G-|A`%NKj^R3Sltjs@6 zg0q=uIC8I`e?cUunQb7-GkM0&&A6kAF62SX#V<;MNY|_kqvluSEeR^--;f6*-`fQe z)CD2#ECU7GDZ`(rIpWoTp43ubBkdVbvXSj|49EzQ5cn+rQAI&-K#N&rz?CKJeG!wS z49gLs`3-fMGZ~)*K^`#K44ciU2=@87ASEmaV#&2o%KeOav{BrJ?sPfUbnJwZfZ5V6}>wx+$jmq0v@fwlNB!KB{XAl+l+ms`-pi7C|h z3LW1clZs|6O*^_o8m%xNblXcxSK%H|7H)IUpJp02>)1lWu!}C;(4BPYr!g~M8QdbZ z&iGg);G_$0Kst0V_(*@K;j*rCs`Dp7>7u5wa0kQJ3MZlPEJr2(_Y0Jf{WfkF>YC6U z%;u`0nE>%;SI6EMre9qIv08A<>VKj&8sra*jv3#$+lGlUCR1hHEv?#8>iX+d`YmxX zNy3QrFl`uwOHy1JwB`~hk}up}%szb=AXAaM%dXu5@7SBfPP}LNQ~gcMc;{U8=H7wem1BjDgN&S z=nxEHHOC=G6N}nuP%Tz+(%ZCpAt$HqNuH(v@a$s5@F7dlPA&pD6v?#;$sV%08y7Tm zioe9^NPR$*c~TLK623scn}f0SR>!C0RaZNW3<4;hI7i-Pg@@5*_7w6(&;<{$goYc%GENqaxnf}f{a9H zPT@TJhcC+$4A+Y0)2JR-$M)qmg!H2{f$htr0+`Cn0jx$8(s;&;&`fGdN*(k<%Y{@6 zk0p;5b>W{c*bJgl46w3D9qO5~Nlc-%rUz#@LZ_CzoSY0MYhlA6cB(qY3vq5z%+1wROU9v>)*^Q=nih@qxVw$0 zz8YSm=kH4%!+CeXhz%oz)`(ic02Pj)SV#suQuW>!ce0Bx8tNw;SG9k&wFbn zl9QASHtk_h<}q=4f>eq8WQlEj#UF)Oh2Xt1A!$5`M$}?(qJQSTp|&34+|lR)&-Q8< z!Zu={f9}ur^5N!9j*Q*Wj9mkm>OqLLEKNkwR6BG5(XL=;fm^)9DfvC>GXg*Vkpcf& zS}fLs)i|Sxlg5%X&F3w=z?brLCjNuoI_Dr47!=Jli4Ox*$*?xLy`{oxgY=}Od4!W) z*e%%KjP~_CI?$b<6YK|bU2IeB&?jK(w}hw9Vq}VM*emp33sr%2iiOa^Jla$@tVRP^ zEvuIjx4W(1te6Dj%%{9Wl~yW72og8I-}un5F176c=zirE@DqE`ker9A{ zWayjb+AYc`LZA=ovUGOxX15_%W!mdXW0B3S4_)sT!^_jT%iHzC;q zk*F<1>}eCH;4v-HktO3j(xt^H^tjouM*%IkVn+2Ks_^EY+Yml=)dX6dyQBa-91TjD z;mt$!K<5A~YW|Rub75nGnL}A{)YA;N+U{4x)w&_Oli8Tnnqj+L5xH-DFhhQp6o)G^ z%$>+72>$STVQH9#|C+7Ks71jB1*U)Gh(2A@4$xRp{nH-^UG2C_>~HH^Y}2}~(Nzf|bzo>sGm@OS2xNLCzO*kz-G4p*pJ@QO4g_9_7Z`Cq`~FOBd?WPa z;7fp8P05xRoFU_#ws>@jZ8sm&WTeYG!D<13iCmdj99ENLnMvP&k8%ShdyyuQ*HJN{ zXr@z8meb9%9Hl+dHNoh0B;eQVB-lvf0P;o@<=Lpnl1CL?BSsW~gld>U?A)cg6FwWB zTetMpR&QivJqJlHoQY<8&Xk$}j8UFTy;Su`Vuc4HY)Edjo(J_-@hyigRCG6dOLxSw~vz*Palc|$(kom6nmwHol zx9`IzMgP|)2fFGaIfS0kg*;)16*YlWe3-~f!pPo?cWB!vC|52Yt`BgLzeOi(NKug; zz7V%-^?3!miMw>$mjqB*n;ujWFn#}A<_ILqGV^M(q zXli9^F^d^!JX>r`XN`iEnm{tC7$TdW0VJ5-va^p%4I-+8{kSk|`q!`%@{r*nDux+V zNd_LX7Cb^S(-x@BSp~04e)DjKDM@YD!HQ@>uO!6)WnaNWq-7i~RsUYP=3;#B^D>pP zEG}jYKm+Jj(k*XV81#NR$n)HCgkfju|I@bY6bnDmM;cZuB@z?GF1u3XIa91_@Pg#^ zDGgjXQLJT8n9S!>ag}Rw3R|oM8h*(``gpe~eIR{xp{VjAay}Pg^zFi7^fH!!)ybBi zQeB!NrtG&gxZ7!VR52*ecC24{oV<~|$X-TMz7gxq-i-8E$(4mToCzam#37>Rm+7br z3w|4@u>2*L`H#9_vZThno-%{++wgJ)Fd^U8yN_0#D8 z-wD;li>K+m#0s=~VN=kBR?_orTY7yh6Z!s3N(RVh2H$zJic#-tv&pv1 z0iS8yoQz8<5bzP%DjBa$b{6|xUdY*6f3NTG%E$~@zcO_zOtCtm?rcpR5A1!_%9D|f z#w+}2@{ba~c1vk;fbsLa`vBoC9q{;pBaMHX%XS!rzR&HhjaWo)+apI<@El@|-?*W6 zIF(xKE)2N-j zxmkZXOPRa&jG-?JG!d6Gc-2fn;6)Ddlx|^$=$#kTJDIpAhkZB@f9y3w?BaOlq>eeO z3M&v66bJHwpXH=c%@^7KL;#!9)=thKC>pDv;KwX3yInlP40e^ul**V@ zOcpq(Zf3o<#P4mtCn9|3L|tVm2+H7eF+U~e;`?qz<|}MT3fkKUypoI~XTOv&u{9m2 zW1-h%a~13CmGU#ZcI<*`7vm3l^N)AoS_EQK{rJ!91guRGs}um6#)~%a_9o)+9vyJa zt_gv*($tm9cz+U>=j9mVEzC<|_BV#?xgP6H&bp>8TRb>JI7Hl{dr=vGmy7Pp|1D?{ zbJ%=&)5&v-QavGqYVq{^Tn7q#3H@)@Z@cf&G<_E^Hmv65p))UA3(~?@zZ0vO`qZjf z049SBI0%rqz>on1S zU`9=Sk|ZGQKjGeu=TZQF485`#=dsg2FP8Ny+1c}Svb{^&U~!7H$D56>urpiWT_h8I z9{g>Mrn3)8bO$!0MvJFlal)m79)0*pc49~DA$N=8b~kH@RJFBmlnxNU$w+&FJ_>B~ zSK9WnRsA7lcwJWyGT9X2*6LhJG` zpfQFW^Qjp`-ckC$wBVTwg3)Bd5+DPR&HsLeXVkIC8uDfHk;7axxGhWRw3vh)>*qhe z_&qOb8%x)g`L|`%mCVct(xpW5+l;Ct8w$s2)Ee$}!_5m%`@J@K@ZN+#Al55bg%hFh z*L6lzEibdXY;rrQUAv1s>O^c=(_6mxt~2flv-pwyT_@0kxUm=u;ZY0?U6NZ8rKXai z95Vdcp;)!pPW}TAQE-v08N@kV)e#+7=^zcy19xzp{&>kftz{dSqyC`I1XhuojM7nO zOj-#)QB(Cp4PT=vTJ;|~AD;ODYu;vS?R&<*Fk+$F+UF0s``4%P{gy2ZHu<^tSWoof zB*8hVj_CEf5j@pi&ZPYE!a%z<@*ER1${T*~_FPSR$Fo%@a=2`)I{b0@^A%Y&`3O6AP=ILiu`7#eN3y zC+LVLMni*09XnCnO=J1Jtc(X9#0|YXx54Od=Gt|63bK^X>GYt(SZh5V;bE=#G(C<3 z=$>3uYA+x8iyBD)urQutB>fgyy$8_|*jHEMm~!e4TM=8kG>jc#VStEdWs9*j(`B*n z@&}?4{77Wh4hEMKt-XuINijHLi@K8#@%K+h|6N`6u6(30d-iEVy+O(pNTz6Gz>UiL z7zAsDZWbBU$%Z%;ukzH8yGJk=r+ikLcW5<7oIYsJ(*9U6POC zWTj1RaR8=%)>K)+CiPgXA!{qPDPQZ&(!fdUbvaQ;G@(hSolN}DXdM9zJC?FLf`xLL z3W=1a`r=W#4F|R#;2ae&ot6r=*0!q-LW}Kar>?;$`&T*O54IyAJcqme-H<8_rBq&o zNr7m&3McXqt)TqOicxhjJQK0zWG0?%n(Lt$B1Vsr>H)oROhRuBp%S8n^CPakB$>m@ zZYx_hW8Sepe&QdhB{HnIyt(GTi0)jnsmD*>*-K!=5U*tK(IejcF`0#)f8{FE18LRt zDo2h9${}1!lxz~_F?5%1JZrX=w*W*gpCZ-ZwOi_DtM~WrEt_8vmg*0)NPfI1G49sR zkjv6R{io}1$@DFCUL`iL0XKNI$eb`7c6|}ZWQfKTZty`u1+2s{aDxmvTEU*#cbR_V{M^P`T7Hm)4X zT3IP$Z?O-99=RRr{iRHIAgZDRSGIRMxP0L{4WM$FTpCWbw3PqTc-d~Xr3zFI+U^Gg zi(-iCbG3K;1SeGI{11R67MNU*@I18XDk)kFg+!EVx!ea5=Eci8J&cneQ z`N3+qM8xf~x~7W92$noJJPPM4!KJdc{wPV(mimIHHdHD`guqN2-M`K^Er4F(&*NZC z&fUKOBM$oR{(ce>bLtli#a*pXlGZrB<4-eGTxEEqZ(-HHr z?d2D9`D|tmBT)pj??->(LzJAhMSs2SwRe~W0ZL`KeKB5nEdSLymMUonk$o9{Nqo>n z+8VO|rPS5VmUrQVmPZbJZ}>-(#seK0Qq-rDM_V-EO!9Fp`aUx8Wc)rJ@acbwe^e1n zatRuxn6^Mu$RD@UqU7PwoMNIMuP$5z!}~oi9v^IMP{-7JT`pys9nzo`ONbuR6hyQ} zs4Y<(1aTSk@$_u#?A&*g{|jMfoQDs)dgjf)L^%E@^24Nq|DuMYl@CIb+*3yuf=YdB zKfuo{BaCVIu zXn4?CFiceZNHGWM!9797HmT4HV8Ne1Fw$Go3??5cmur3Am-YcCUeJZUt(wNhgGfo> z1@X|FX#=WSz&KlB*{J2- zH(6y1eOr6Cf?O>=ehGSccoyDg;)F?OeTum>23RMCI?1UEVV{3zkeBaLfsy|({U?<7 z*I9=PP8Np(so(An&#vPxdLe{Zt4$CDT~lOa3I8KD0=Cvt=~&&VM$D$3c76PGpcHZ^ zhsf2rfXuFM|FrV)b-wv?V0JpVU1H`1fsQvxd4O`w=AUube=yQ^peG=R?>E>uC%(c-bz`r>CbKaiLOWq@ zN`)WZBZOcK=*Y|IwT6>$YcsnDUU+8$)7eTEIL_sy>}4ex&6virOI;t8n5f3yuncf8 zZZkDw1LQeV;aoD!kULr8E?KkI*mru4%G;Ab<+xmnDZy4-mMMGRu!~F?E26oDiGxhf zSkW2NSqjaDfX7T))36w@m9zxE>Ay;L>a}12M)S3)4@y&5KbJ5);S0>eh*zJt4!rpC zVmJEfrbBkXc=4RX^$mSCe+)Vxn&yo&!zLO0!2YkwluJKPv<81mU?eGPnR=h1BED9Y zur7g(k5P+M^xqd37N*}&vpVFfJ9Fk38%09m8)CV?AM@whonH&TuEt zzz?O9&flHT%51X!KwxD8(FGQ&OFE@_-0|WY+6$;bvcsI&q_&9FPU(thzA@M;S`UJ_ z&$|%Byx?Ud*AZv$Oz6L^Dk9O~oC*68t{{@-KukD3@|Yh3ol;)T#l62k9kvSe9GQD^ zM4YE}@^=URw`Y5(HR7UZiN9+ygfpOy@`gBYkYqn^!X^zh#3f_3$5p3F`l~@(GD^Qu z7P7K2D4Mfk?mw%vdYeB3cF@Q(D7hPFK1tjK%@SM zqW6jXarPmS!ECrqG9%SRDtuvRDUpl{mq|AcT`q!Z7C{?N7e%T1MT%&th{(9gDXjt6 z2n3bAZ#HseE%81ZezyPa7$rcrRyD0UFt?4+23ufnAD?Jh-_e%!^NDcvBcx}*bK?oA zM18?!_PL*?H(FBizoM4=vgPjOotK{!!rgsGGUJBxR#Be=s}}_U@Lw7jyx_VWzkDi1 z7~=K(<>)eh^XPFqM8?1uUnohmsx&dvvq+4mkM&4Bge4jfn8#HobO*2qqks`>8ttWc zLpN396S9A1iw-o5hZoLOZf$L4Kv9;bf&ro3i&9%xIu;~D;*By&BS-wj5kT2_e!)p` z(uu*e@hU{E{4)s8_tO6+muazdj3~|}Af|M>UX8&2vFY(Y_mcE3p0x|8K2IlSUiqjt z517(ZspOGaT;JD!g?9Gw37KxLxSU*X{kX6Fcy6TkcvZYmN!Idl$c$4M1v7k2kGBxV zU03PAsr^nW(B{z_g>3cQ^Ekx*h)Wro$<={l-y*)mjpQ0coOr;Ep1SO$idzmlhLVCm z=@3XzB7UV2p4ZAm%uNsHXdi%ipRlYRMWaN;i-w%Y2G7xrP^uzVMMENNb@9bcLg`mj zIR;~Dj`V~rRAJ~NZoqlOJtH;&OukdbZuVA$iHx;?-#Rmpp2;kDW9eK?bosw^ zq#PcLtx^eLmrwq6h2#+iX>%@~FqUj_5wc`le;xWxr-7vTJE(-D@boRTjTmd}=%`DQ zPFz*ZQ*_`2IiQGVWTX%Ya*!k|pT>6-h8H}a@d{6nEa%R%E_Pl8KL{~VMQk!W5~@E_ zlHuWxt?qL@FrpCt_!^yWH!0F;2iZI|>cAsANd2?IpLU3zgSq5psP5TzE1soC-d2bX zN$;QM3m>fTzDgMc?#pp&XG+5J5(Bk$VJ&Ut>w49IfPr965`;7a9OB@=(U<5T@#$hc zLnrZ1lSu>Twns&gU!Mp2_nZv&GalW8GSL|i4ThjMl71(HhcrdLDAH7>Wm@&Z@ zr0pP6Sn^P-la@{@%5#Dcz`8u2cy3!16EGyz15F&Z*%b>lg^I!=hHksM1QFf<0+p}4 z!+@w5#DLMYOd%sa&;I`I9!%{hOJ2q=g{r0(8Y?CQ&cH%X1B%}3d+3}(`Qv=5q}v>q zcV4{@k5Uh8#6@u$zN~i__UD8j4YI*fgWNw2{gf_~d1ZWXYV#D<{u*!T5`BpRU3%T# zFpDsiAa8{E^XwRru<%aCwTRWLJ8Mw|$?48)j38X?AM#DjF%T=xOVt{_ZTwxW*QV#Sa;8s+F8QxKzxtWt=h$`mzg z7VkG`(t>IXBH_nRxqC!#C-+Gaikl=WN)2ORQ|`q<^W*f95&8cfwd~ZR_A^a2-OFbs z-N8M%FE4LS{JlAbChK)a7lLs@S3B>-kL(}IA47u9J8HoGG;UIDj9}*RGZisQyvS0+ zg@*@$eLn}+n=c^JzxnppfjSZ{=pDmvGN>)^x6M_}pC)VWD>3#zSfOlRRl% zJs0_dvA<}hz>EAZOj*@vsZI(+$r)&{dPZsPCB;#>21<<3)@9J?E9O{8g||5)fDqkW z=jhcs!nsk7Vp|HD?v=Fg#Us1d{W3ei5^P6$7(o=MSRALy{)Aa)&gduDF#xWGX;FoU z?+2Sh%&ChS3p(sgrWw1m)JaVo+X)*AMbjDi;AD22)93(NL7J^A?Y_N7w0Nd6sCbE)c3?(+z-HM4C z@;`Qa-69;GJ^1i{QkjQ4r-9hjA^c;mR+)_)aDz<7%WxLZcaDCI#fCqUfPXgvhORe(yB-1ysyQzkP5V-xGk_L{5D^FMp56Et@XQy$N4-0;LRHSxNdxfoFTRK2pQFYKX8< zBcI%y*|-7Tx`4GMo@9j}WMPK9XpA&XR1;U{IwYK|UZjaColoK3SM&UFW`%O$+!Pr8 zU}Y$(1WCAAwpgRX=02X@xb-RRgj(!_$wx_Pl(V>#EJFmXN*Yx(SwWUv_($zOI~MBu zf&`7lS*(OYj5`fpQh9ojpoQcv@Gd&bz4%PT^CECp>TP_8NzZ~l1Pj~hSEfvDWfn2? z#qIb!)>_^r6+P2Qdm?*Q8ke-C=#%S!UG{=-iF+PvnGO}D4u1xxXPKrOg4Pc9w*f^` zQsgvfFhpd2m@Y=DH7Eo z&#lQ=`lmHDuD(Jz=!Xf;2jl|79Dq6{4IO*G8HeareUWkUo8s69|Bayj5J|X;h=^EU z*T0aHPcO{F#>G#7P7;Ee*$>8%;z8UB)}{8K=f`D02`f%08fQ*T@oqv0+ zgO0|MX}kShw>K_5_8NH3vXYSOaSCySM( za0fBG-LvErYm4_jFtTGRTmVs(o%8ipd#_VZ&nmPy_3CvLlZutP-33!{J1l9w>y&@IW}rXA zuQ#+McAhJ`@v)`Zl_!fwS-bIv)b-)?T5uM5l)OpMequ!uuc9cY31h>DOS>a_V{w3PB=Y=9q^d8}E=nq4=w z7AM_o#;DrAw&fV95)>L_{c84$kC5Ebi4t*prtxI-=+(y zaa+Gs%oZ49)UiQM^vWo+*`mAN?y_oefk8MusXYDUy&d=nitBp3aKd1N*}p4>dID_F z=}l0>sQl;*;O%twF(E6jUqoM3<8gbHYPIJWMH-0wsa&?{;2}&#PDW^Z?TV324@a47VJm6ylF=OxEzYeX~PIa?1=smZ3i{ zQD#QsF_&m6I+iZ}GnW56X%(WAlrx@yQ0+rzd%FY@9b5qt zT4)1VtklJQ5Nxm$-%fhZ>tedG|Jc!hF7KV$qVbb*@`(?@qbz83TJN^2(=&b{U{kcY zNdQ%ZE#TXGuPK4%y`cIso?bgC?Z#dDBZz?iP4 zTNd5g;XFft3z`BWNHb(oFnrr)jl4qqW+mSfB@Ho`8rC@~z@zR=#&CmID%J_+JtE){ z@eUGuN0umPPQ5CAfjoFq;U^}uqS7d;H1kXEzOpU;%wcR}wKVno&L>{V_ID20SZ?~JZ6Y+?y3`J%oH8Q4x z)z+hy8EyktgCAK_1_2+{c@WF#2*z8a(QROK8P+G_Anp2(de~I1B=WeV= z2c!QbduL{^tYa0%z#=kgqa*#*=N+)P|GCW6xo@1XC_g zTcrU)yeaUhXz&F@$xM%RNZ{Ti#*J6 zIq`92xPmo=r1?4UvEV$b9H%si8{%uAV(Y~8<#~b>1;kHqHmp96u?Y}VcE7R0DXB72 zeqpzZg&oo76G1J3+1pzxOq@M*3k+1fhLox1r-R-uB18-9gy=DcMEluId@(|xJA#Cv zqnX1#I6I~M#DpbSA!&ix_BV1W5BQjW2fRR;qspI(k7%S}Ds^l6sr?=y1V7(mW{70k zn1-k|S>(ibPgk@akbQGtPBawvTc5!^NKDbl%LN7OLuRpsR1}I#pxf)^Cx+CT4VM5slCUr6pxfn@|W3uKD z#S!3Y3J1Z9LO;@SlBo=*g(iTat`pB9xik(?2&66((d|+aCF?x;qV@AcH@ucId(4cF z{1qg#^?{^D`O>ZR3>zWC;IYv6KGF#jkLw?yzS^ z%B`Q?Z*Ne;;WaR4T~v@<_RHla6kLb9 z3-&x+dKJg{7NJGn;;Gh`oqTFqE5SKfiwc^^q8t9c+y!L??acmR;bjz>W;hmqZ=9Ei zDmgNW96qS0;H2m&9p2*mnxpJZfosZhdI>zc76^zqb5IS$|w8 z5w(z9W~>v1VUDPg<3%TnM|&k(n%;IQ&kj=(>@!$DA%CCESur=b)~&rga0{_7$U{K+ zy&E7}z`S`zT2fIxZ?R`6NtZr&s;GaF$`cLj+BkQP#=G%OkWZSf+ub`fR}hQ-g)kB? zNH5f60K;nc`%ttKxSFj$adr(t>XcVcJ(3nAnJ-S38|7SSr^WSLzfG(MuS#p2u&oHn zl*%*GE{a!TFMvYyxp%6JX|a_Vm#=0q%*zBKHL1O{?mv97SV#qBP1w4TCedz2RaQo& zg5t{#_rSHI=6erY?O?iS>UJd~(%P}d0r#jUR5{AqIw&zli;Qr_ymI2?TI10arFV{&UZ zh8A>5G-gJ!lSS&{>B+tUXOb7L{g7LNhgr@E%j!zl^Dl_!mWKH0T$RRQ=HD3MWQp}1 zwy25Ttnrr~--=pf@nNDqBcW_@k}2!T0jzbTOL4*M!rj<-nl7rJm(wMoK^eGb$y()T zNUf`nj{fi$QUk32qQ2}KDvh{nYDqO^(nvjh;wk=~IpHc_kvv9OVpb|WK=2}sbUWxQ z99*lwouYG|8o6m5LbOrtMZ#PW<41rU8%R77aEwHfDF-3Bs+J%-Pz9NrQBakRnhn zL@I;!gV=tTrnL~`yd-(ss4elj4H?!B5IxqXR2H8lLh}%B1*rh=b>&&9mN0GlgsD9Z7t)E9Y zS51DKeiaQ2I99b(_G1d-Be{!L#?OMT*oB#0p>2thGin7wT@(h$!e7Mh(c@LjGd=Ha zo^@}MKm*+rT=PO{0v?GdD!ZeqTz!cgP3hb4R_#zt>SWeawGKE|MJ23A zMOB|C7h45=7gMe&tsheGRzi!BptLi3<>ch35*R*5nI9zYuynzZ5B+NW@TMkMAEcOy z??QvQr?f$TQj_)BEVErJGeMe`YhFF2v?$fKznVcyC?qgy7)yO*)ZHU45_}NaNRmSGk-#Z64px6lFhB9a#$JG~ETS&70Pr+`Ghf~Aoj=e=c zq)fW$DOBC+CREOO*B!MhYpc&zNVc6C%HfLZhCTThdGJVIWr^jxu{%V0I~PH0SWtcc z7r&Ix5YwSy0!`IpW_l!i@06}l7HS+{Rrps_5+`tMId?N3CQLe$dU5_u@>~)x&Svzw2p1^F12*n*zuFm6i9dpJP+e`RcbBQ;rny<`#Hm} z`R*tZ55Xh{YOiIg>80twDV4zU(e~3tWPXTXiQw+JOCMd3_W&#>P!eaupkEbVOcN3m z&hl43w{DarX?;y4&E%`<>C=@6ieBYl_a}nsE6NJoMumS>Gz1Nri1F&bX?Gr2aXFey zm$D|L+Ns>>6}3!*shM0SJGjz8M}JIY2Ay7ycVIb!pz8Z_zv*_|RBo28(?V56ALnvG zEL&;IZ7Iv~$6UeiTA#}&Z(!iHb9u0FS?4XRqteojM$OX0DQz0eV6u%3VtPZ+5pM61 z8+$PaQI#;a+27G&ma({F~FiB4%>k+{DE{2%sER>|4^-u3+qqMsfk&DJ^IV<&2Hdmxfp2atE05}ecYtR= z2OT{H@rC=};q`*;#-+}T%R~NK*|+3$5Wvy)4GgTUtWyt7e4Tn*7Bwd$BVeQYLx%8} z1UQDgNzFg>o_!5=JAXoWdl(jVTu-=cq}00Rf|Qsn^qnu{tY#sC{v81u4P{u9SxRe z=iYh? z9wA0vNou%-w0(AT*2FTub$!kjS}=vg0lwc}M0U!RmU1R0^+o@9^{cX|o`vv)%uyjH9>q@t!yZWa9S64~M+JOamu=L#7 z@UbgSL3ey4P3cdIA<_I^8e-K6L{qg)20yh{(Y~Q(@lq zdDiD0dP2K|xD58O2{!=fJqz|S2O}^H!%rmE!S+lhlibR~R1{ZJM`gm>Bq}6gp%gA@ z-mbx}%WeR@3`kapU+r!HZ_r6(KH=4OAa(HYHR@tbU8VN}=;bHXJG)yqIhAQ|2ye>s z^XP3J^Y6x$Q{Z2z9$6tOvCwy5m`c`B;0nUR#BEz%BTHc22h1nL;ad|BUIQat^`Chk zyPevV4#@K-9WsZGmGhhdZ{(UUTiKH~wHY+Gg^pI>+jahM7rT1Lw9}&lmPmz9fDwX|w zRiU$yYFes92DB=q8dwR_3FffLTDSsrjV+xXh?d_YnFRPo?u|ZiG}8L0R0&?|SD2SknN=DRdoFdKiixnx~BVyL= zBFqog>Q4)g6(QKIV^?mujZN77rwF~g%-`cvuZzb7jV#oa-64wVEq5Jln>(}91nzBU zdi$k8hfF{X?8^;%N`T06kEl{D|A;U>3fL$bTqDlcQSNCSd<%YpE}1A<(iq%3 zY{Rz{KJSb-0QvLiF`I4ADnC_;XQ=9bKmN))vZ@=LOg(Ug#MY*WK|Y9b$!wQB5HmxV z`ni8%0<|AJe(fhjwrp2Nzp8#u8nR=5CD#>K3Gp|Tuqs0D`8(`C*r_XLZ~C(>p`Spu z%X>hg)Fx!#(XCufOX_pAZ1;1GTvh69#H7R^25h$TnRX{@>wANiGZ)|5U}!oOhDOeS zDh=?lI_HoMFjhbl5KT+tw(4LyJ9kxR-$>|Z&nyXii15`SMHp?LRZ?Ba_;V-9ffx?i9gAZdq?i^MU6VH~Vm~z7Z zhgY+t>VWUnA2gG}Bn6ogvhfe78Mb+6!)Q2An=FycCE3+IA)<=f(g(S=rbW}8eMU;q z8yUDI$YRTRo*TH*&&dE>xIEjdy}BAU2%pD+HLd$u@z!d8lfl?}FTy_L~q z?-{;ij-j}47#l4`TlRg#c(^XxFs715luB9JQZBSKbrXb&CV--?hnC<_DkkycRX_)^ zo(Nwokz_=XZ}E$(uJ7@=^}MBst(U``9Hq1Y>7+`m06D)UZ0tzgym}WLQrH!&yU}j# zTY6+U^J(gpkx)`mMbhA%&+FS{8&KnM59TBoNq>(PYY3#8ipn~Yx_8De| zmO8-RBhi55neVF{-F`CQk8p-S0oxbGB?3kMirob$5xy?RFv!dV%u$Mg()Sk$StJS9 zr>AmWaL5^5FD=6nqb?{{*AvHsFMEd%Zr#N74t2-&ufDf|N&pRz%7u@FtWorq;OR|$ zrVTwd7m&rhy}TlSR(#jk{~fiG-HJVm$L8~g0VHF@97a@!TcO4BzN$71n+w}ixukFL zhY$E*IpB_KYOuxJ;tb&HqNcGFxJoLtSttvj6zPG~8$Y8IMMl{I4Hb(0(POa3^NvjV z(dB>nwB6s>`8rYQ$s1iK;f}h)qMJ09Sq^geI>9*bC}mIS?Xs-kLdGad^(Hg3WW~|8 zUBj<&8H~OtHUsK5W~Gc#zY}HVefmO5>$G6ntf#*rRiG4ZZZh^FlI1cSKi;gf_CX?7 z`Zo`w1*+WMt>z!UFQw&)xO8bD!=yUR>^;R6ejbBviFx2&AP7p5;)OC8l=5NuWG^z5 z@LQ_8T4X)K`TGl%;Y{^%_#9)S^~GIOSzf8b-j;3Dh1|m2!&RrKix>}*;BZ_0Xp)$2 zcFVSM*VrTvF-$|rU`t{)5k%ri$X^43p0mg8v^nQrgFLAb*mVhNj<7MuQ;x}y{N%A z$RB2k=IIc*p5{aCXakIVx&Nt9A5XMfA6l;#aDvC|pgqob3R;IWFr$RP>d#TX{Q2Jc zbz-CJ16olHAeWC-s{L`1z+R6)>~IhvYE zt#IUTRZ6YN;-^YEZ_EmB3nyhk$Q(L&d;{Zk8az0TBxunoXKlV%X(TiumyG0EV z@RH%tsP-JFOy8(ftt&6bg}6r1WrEGh+EQ7Vv`vQeb7JOPk-|+0q+;}L1-0dE$$zK@-n#Gk zE989lItv>k;IeXEf0|1@^V*b1lZ0`5e*5pKjJw9`4jwK8i|>vtunwQ#XISo{Vhc;;MrzYL%2OXd)2;ybs6owpnoA?&gS(^;3*Wn8?@pa)0nXD&OoKuV*& zv%Kv&y&)L&2e-DP|3!=#^EFnxx2)8ED@v7@EB{fMEx4#>gOzqmIa zagGTr^8Q}qPC{au+$DnZ*>{-mPj#65BhaRv4uS!Nkng}(K12VfCB&!rOt*l3UwRRR z@6uT!mv~sJ8cFJ+>LNrMjhOEWv^N_@k3b?KY5}C~Yzn^W`j1Q1JR!ysz?YMquZ{gC zn#X*mY|H)6hpaE)W*}Ue+!9F++1Seo%LI&qK%_3BLNY+nv(4TR7oK}zHDzw`$D!8k zXE7g^+)GBza(mx^60q-v7@uDCeMSedmK=7DctR((8QkSF(PMt zlP=L5UDDCFS_0IhO2W#01QeU>205ldP_nHvO(F+P$!@cj{6NA-HgE+|gL%$`eV!FL z24+$!LVH9d-S=Nz!^ogC+SETj0TAI5@DU`TW+UiGV>fWOl_5I2I}etAe%NGulU9xiz4 zzI+vN{A;Lk{<3VCZ_bu9?O>*`tWOU(e0BWax^$80gt1!1x>=%A%#Bi^ zX9QBy;j+~PWWP8=5k-U$67b*e?d<_9XMQV^RRba0t~NG`c+P(9LS!!mXNi7sqZ9n^ zfdGo$;#-F3uaPTzR`vnR#3q$r-UEd!CkR}yWWza3fkNBX8V0?P`smW!89gfLnhC-B zf4{b-WmN$mjiAcchR*Kp?q9$7N$wu7s39$bf5nHL!#--QQQCKJw9&bxG*vnJdt<)Z zMfx@csO1ki$@}>Ou*1gu*Aw6tuUm^)X34e_0@Ejnm{91BO=EM$)37v*5#p5Mlg(x| z7yN*H9N5fMaCK38kx3X>I^NKdg5oQ>Nj?Cvke5Z{{U7_G?2 zPGONM%_1Y8%NYELTx;rpmW~d=)!ZN3qbYIKp<}^(5C4W6-T#@_I(cWjC9o9le|%Ln zF~soH`u6k=Okt6^_LP)?`VfWdM)dNUwNnS8@!Z*;mhQkOuZx(2yiIOWPa_#r;M~## z5S-qD+{G1pF^EZlnfAvywV2(P;*+6V?fX@bf=bQb{C#;X3pqru1jr8i05tq28Hgyn zQe3BcPo`l&2(v<)=S7y;s=9MlVN#o=e`bUJ&$w3?^g3y{o9j}3sdx6?VQQI8o-2Re z<{bs-(w}H}O-M%=FQdKEr%pZXUu(_$W~gy`vU0j!%x{`hE|lz<0y5+!^EVSz7R5fR zS&U@vnsnuBe)kXC0YE{)JiEC_90Apx;zA~MSB$KXFpj5*e%+xYNv)m=y4$w9hE5}r z_nF{YF(+n8uHpvFYhc*GKg{zInjq6FRu7sk%OC6f`1mu_*Y{(49G~tSVr~o3Favp-bc5ECMC|XVLf*oiQ!%C@PNR+j-OUKb>_ynX;DIART@I(D|E#>%syB8V@m$+=#hzmHxRi1cQZqtA3hKw~uS#m*Ft5 zfQ%!>zNhV(`tKU#hZCjpQTvZG;#+^<13H8?mg-}aQwlxELyG$w{3&p_m|qWk$C^Ur z*U{v4WZT2;7&3nx$n5#;+x-+3QR_+yS;Dw%&2XVcf~a|n{(aCSDc;ZJkV@l zl&FpC4hGAYXr=^CHeo;gt$uz$b!`k4|DWEu`v+oYIsxPVs}UVE6XldBVcbw$zSv2fZaF>Dw0OGxr0!lPBvr=hCX`8@5j{3Xek!zOo=M z^E@Yvq~;};!Ro|pDc;+^B5Q>?oxi(Ix(40F&*=OChp~Z9;II0P6nAB*dBVP6aNw;@ z;Gh}s8Q7wY{e(}>==o?dVcjD@4KKF(9r=Whr@`jy#v7e$C*v`#Meo;<5R{=`3PuL+ zyms=E(IwK+L{`IXw$+%upxM8-A)orp%t&OzPzMZ>_P97lZphzv0$2aPi)M|!5%N|# zbuLa5RenSxatsuFFB-n%IaMzV>lptMzk~m`!ZcReoOkGW@2JxMbLDjM+vrO1=H+3V z?Ecw1l1&PBPEj=>Bv7II?Ny2dd7SMmW($Uc|^c6cQ4^}w^gjkH> zj`b(CyrpB)INnc^nK&XCrxQl%sKR)fFf`IYI)84MruD85wknkhrqK(Ubhg-xC%(g! zK+`hs2Q!U~?Qe~l)MT{&hS!qH9d?986VhQ*5`;Nq0%f1yk&h3mT3_{h`RF)_lQT=W zXmBUmP#BfV^h`b{)i+Txg{JBK2o0GWX51H2cC9zt*6xIwEfk0(6!VszsRRs+!zr!w zTnbWx*G9rHl$Ww&)=r@-#U?@31@{cagU=YgZOmLs;C}~(Iu5KiJEmjx21RG}U zKQLr?=HOiM9H$nI%SaTe$goj1?3a3@^WVdNzM564#G!8by>DAGbp8s2;Y-L= zyLI^SOP88yB9yb=yKtrZx|UszXG(4C41XoXUV}@12Dk_zM;RT*#F0x-6BloW6JOeG zbkNbZ)KV+Xm^d}_qXEz~9tjE}KCTpFpA#>V`7hRoKdklFzqapH@5TEZjh%FicmIOI zu+fy{CvG6o;9E0vXC={sf zQMoES3*UJv-rsnU_vwjV&v<(=7D8iuLiLM}ifNtl07 z^=hC=-ie_q}JiPm)j@2dB)mTVE8o=e%pyXRjq*Xrwz(x?As|ESQgk0Ej zwAt1#3e3QUae`8G@>KVOZbo(yvu=}yWY81fU51G8t(?6vapE|;sw#_c!0x0uA|IOx3eSLpV z3l&;x64o5owW-m;=dwN8)0MSd|vokutes{T?Usd1zHmO@#b{R`HjE=)$Y4zsx63l za9aeng%pGJJC^@U*V2Y}p2kcvh*5ri2-qNdfGzXrlaPk@OT)ej%a4WAZB zD(~ajgS&JqVC^kTOj!cg)hsi<%R!~(&eg-zZ`DWWo=P9_14?;bi9T~Oj z+4ZPCL-%w}U$VvWnkwv~WnWYNhUUbRe&aFZy6E>|bG45ye!v|?bb}90Hom~liKoB6zVJY6Ty}y!{NlaNIWCJ=S_bGZp|`)Fig4&VrFNJ+Y>Tp1YpANgu8{5DGc)=d z73r*7tdVnx$&FLL+xm;}ohl9EmLWc{QF;pU>+N4kiRk~vmwf-`C3pYZd7Ta;Ls;(9 zd(N{Q#v+Mmk$*X5hw(oHFy4Ja@i*B{9no9R%l;j(;gXsZR23FZ<%?`2`0fFNkCVxd zs_MI>gJ@YlsK1z~Cz{;*FDJ{KTCcM22jmsUb@f}3ZYmiUT}U1;)6{^q(p4&}0?BX$ z=lMShZ8;5f!Lo$8!)WElmP$THXHDW`igZE^Nnvh#ah~F8NTWsNK3#b2x{geCfqKK8_R6-T6I9|7oYuj#N3(WM#0X>4;=ml^&oFdhwCN!!(X?mt$f47kH{0RUug@vV851hf z)RHePt*D&xH^C1--LU;OC@w@SwA&4wM_j?y&W%}*kJe1{b&N;R6grU)Q8r*R(&t#@ zP*qIMi1DFe4}NWJK`|%0V_i0h^q%8z&B2n9A*n3(J=MH{dyH0>y6FG3HkYu3;iAY* zs4i=2{D~qU&VvzF+_ph62p-6eA=m3$$7f$=7vkhSnS7k+`0}c4ld{L9`e`F!OmNaX z^qNh_t<77RlgBQWTuzDR59U8v7BbAQ8=clm8bH-=nUmJ+9zy_E|BNT==b}>6m!5&=UJ!1lY&@wB0*`g5|Ms@m|6IEW#Aa{#L=dLn(W3{ojuyyo};nQ%7>&^sYO z6rtU70X6Q6wI4tz%uPmP6qIQha79RxMGyvZp-HNtzCF$AvQWsm_>+b3K!LFwqeP#7< zor^nwCOi@+T-l)^R}w+A%K}^(11}+3M=o+J)sSBRCTkm-O#6B^I9%pR@gre8q!xg?@9>qI>!Ag3o|Gr` zW9ck%DFffy(f<8mg$eiv*L8_ToJBA&y zlNEfjQi1}@F$#NM(UbrsY(Q+))Ny4K}`m*hISwEWJaJ+ zf`)TMa*-=`PRa&?`q49w;9#P4YMCofeC7+W)P$yL)FbluxQeTBQz^8M1KaBgEd$NeiV3sy%Po+8Xo zW+lSrak!U4QmZz6zLF(7r0z)t!Bj+b8m@DH|5qP;4;haJ2)d0U@yyHQHBinGZy8Qk zNeAy|XO7RiwYM4JLaU2A)L)%XC@G-G$)$DW$r4`Fs{?vJoc7ngJzR=55JIAVhGzg4 z=UdSe#$e+LO!awQr}fpfwcrs)1lvS0D*n1ZL#2zain1R{iX0or0?*)o410^gx=g}j zy4n(tqgbJQ=K>ws_8Kena(I-m8~V?`7Sn(~Po$9hl_YB_MH8B>qa$rOTkx7?P(+oQ z@hEF32xul6nd3{GCbWY<%sjE9u=l$F31Q2Q&0CFQ0)9b(Jx_04YaZlMAL1FEmW?G z`j^reT04sWI>(+#^??3Mr`W|#D})Zz;*(X zW?z#Or7SFaoz+MP7Z7Wr)Un3)SkW&uasO{DgD5NoVU?ORLH6L}?patOWV^2W;S^t# zappzJRAew0j9g+9sEX>vi6w?6K@yC(0m<4{7kthAROekE@fzCG@e*4O4l}~`Fb!?)~JAmuo2kFQQ z(qr6g-+?h%slY_^9{-m?4`>glg8iZ6$V>7aTk}KCg2YI_*W1Mg=_*s~lhC@=_oE-R zJRSWSKtx_*V_sZIlKTs=Zvi4B%7!yEsDJn&&tMNBvI+ZaIt;;+A9oStrWRDn_L08D zj7c;}?6g;Nm9Bq$-A1jx+k31DZ${%5MZ7j2zQ^RhD%DEODW@^_ro; zV2z>V+CmJZ@l}dWQuLP3XMh!0LuM)s<0)vyMj&p7Z;HP}GrC33okVsCK1vUiyKhgY z9UZAs<}GJK5I$?;5^faXA+ts2J=tdQLqUW%dD69p4UXyBP%0Ms0XF!HpWkR2M`8}+ zJUo}HOvn{_>ASnmhYp6lyVpu4P%0>0FV3f!Nq_X)H?e#$?yFNxL@UAeMtB7G^7y|V zuO-6ZkSd3)>;$Uxpfq%nus`h@+&}QxkkU{EUg8IG zD9@e;zWd@m1M~bYPr%$weXm!>or;hq0Z~04e3FH9jqF#J+~yET96~#bNYoaGa#(_p_zCx~MBB{zUUtJLEYaDHj&i?a#_;AwU9;b;8!5{zD~61DY6q{6zPui82^vmRf zw}-liE}ksNqAlAQLHe}yIX<+z>A>-rOqwy0Ho8jz^@_7N%pU;}$y%(vJCIVkl!)(>Z#hLuYM9_JZCH#^zO$U+o@IPKFQoHO%s7pyH0&Lll>@Gj%A!yDhWwbi7lm8DJL5T?EnkCu8+HEN z*Nxnh_48Hxqi~tvmlH@DlPO}0pxm~Wo-_H6Jw`w9tsh5LK9;T`nfnK zP0Y1PvSBLch)dm5QFkZLh&l=aab#T^roA$vYAJs+55i7(mj0GXGEi#f3L3S<`{Ud~ z9uC(U^Uvtx$r(N7SX=nQs9w0~()sWq*K?K;2*H~#FC2$!yRb63k(8XyPqS=CGdef^ znrrGhXWu)olnFtXEn z>Sqss5_@KE;$q-KB3aB}Eh|R3A0Wn@Cp1pI1@s@*G2A?Vg|xS7BCY1R+sBm{p9g z@y248d9H81U56m2@e-4I51c8pqO!(WD(HqOM_UluiL8GI6|~$Yq|ccWquND=4>F7}RBumjGNa~3gpKGoB?yN=AgbxQ z|Gh5RexnN0$Givm%ud}aqgpWC`;uM<|YWKuVY?RSD}X9BhHX9nF=4MHQ$9)y`-6Ac~ZYug3zg0F<|{n z1&>(~SM@G=)qFwR8DSFxO44rGbd4M(shl_$pZ5(*LokGQ5~blL+s&l8CnD>OC@^$K zEhkG-Kkw(b=9L1@9-s@L(R=a$-i!DJ5_~oBwcwL%Qz{j^<$jpY09mY6VN^GK5d|iq z3bVbsLU^Kyw##TJTBb0kt7^~yw5og?7#0rmURYP0@LCvpFJT63IKTPi>@ch~0Qmld zGF)BhNr_j%%^T<6wc%I}#CzCLF1cb$Aue?O4J_B$iB#TEbtfE7gWPzFVv-Rh29yxo z!9l!Hld6!j%KAjI?uIbA^tKFQgMZ`!TlfPK*4WIBIn-|sIx(T0c5F{Iw zW`g%poR-K}@C;&(foJyo>>CMf@+vm!%;Vho3M5gP-Q|bI%b$5U1O7DQ!AdZM%(t14 zs5;U~DNxz{#fpeGQn4Fb&t!c|t7B>7{^JBQ^0zkX^l;I_UTcR|=mF{Xh}wcU+D}0Y zF_BSVe<`Bob5;DeH(!ObiZn=K!AAW358a#J%*NZ@qUihM{_|@vGXXTO)PFDHQlDg^ zi0%C`X2N z@jrK{k?8aCR3`Qt>}$(n3QGETI*?+;GWbA4J~6~0`erRM5@h%1fU_aabxn5C`hkH| zuQPFp8kzAg#UPtnKTb=r);tQ1nr2E?j!FvC=S80VoF@IB{W+-%Dao8m7V;HOGkxv9 zcFjtMcPdit!LBMDYkcvHQsXH(KrhYy_^ua@?hgs2uZRYy|D=mGp-UYB-I3!o+?nrJ z0AISQ)<7DQa^ry@&C3D~4;1lnd@DW&w^w z81g+Mw}8BUB!n9`koB(|e}h_t+2kAkr!SEseDNhXOIOnQ`MZpFatoUOF6;ek4+Z6& zNqG{Uo{3B>T~m;2YpK#_E#mQ!;ScASXVis|e(EpSKIrO%xz#&dw)0}_chp0(Sj~or ze$LG_mU`M0VxS*7jST0-LEm0ny9jx}*%oNNkCFZOG}iqxmO2yo29!GAcfY>^O}}@` zR{21kN00}A#q7OS)&hKLufWC$c}UtGG;n~W3z`$>qQ>U5!|yN1g4sKirvkLT7+`Yw z1D{08s~wYcApHx8^MYPHsT!4f$0ytcPLQ=yp{c;n=fCOq;O1mmnepz5*6&-h>UP+9;g1Es`S{waSmDkyVW9{n9K4=w`4_@p8O-L_uJC zgYjttZK?K!l({8|gYSy&Xm}ZLE{rmNe&Rs(N6Uz*3L~v28xapmcY#6CR8Ep8+&QPz z9E7{0mf=k|&x8IPTF;GV4W^=NKjBUVpKkpX>R{MW6K1(k&=>bFC|K9R~JE@cZ|Fi-prm-6!~*^6+S6+4T$h5}&6 zd5r0PK-Ln@RZ%k#(>EapT9Ymq;>D`6uk#j$k$89To@mH26vGx z#>v&S-E^;6@6tH#v9D=y$|y&jU=D>Svb_p zJDFf>MhxJBUtDPG$-U!H9!;Ah8~mX=wm@CAQ0Nbzp*1mPp9*Pm7x{TWEirp|m73 z`d`j|4tYHKVAX%sfTcFt%7B>6&CEaBp_1$V(wlSJIxO2BvaAnR4ia&HvECp{E6cr6Uw zamn}N`Muz6?~~)3u8QeoxCEn6eNZO5^dSh}x%8^>&~uWv5u;a|8zc=HQS$}+DQ|d2 z2YsFl$-_t4-us%An}8?y`nUf5fPF9mk&@)0J$CAM(=0%#HdMvAi8!>ujo z=lZ$_<+I-?Y*5-EBcjfVSwXFOtgjSyVlPCXYt4{Z^%Gwfo_LFEL|)TsxKFYw;t6Zs zy?-2|&7@P6%yue1VlG-jkxBKI8kgk%S3^urtEKiOFtgJyOPUT-kOU3vA&^^)`qrP% zMAiMgCR!=VHL4vwb_T=gC<57oiQxmExjMeBc3vCN29)fJlzARuLT0w7W)C&ntx+(7 z2~JQvs43Xy3_k}!@e&e+PRfwZOb;V~Z)rZ=@lM+JixO2pp+@2@SrCKi=0l8OTbOTB zrJ+?GuwD?0k0vi2)p0pV5lEK4g)_#wjnh=9%)&wCD*^^eOkAB&*9Ijek7vv{(EOT; zD?;pK^lN>plzk0^SbIQ9I;C=yy*T+AxTTPhb5%@Wc zVBbsuJ%gg7a3%z%${>&xkUhZ+-`VtB(8%%h#5GsEV3pKmH5B<*+=>7+U4pJ0mi=Xx zsMsXen7LfMFHb_-A}t?uHb|?Y0J`7!D}=kij>J4S1rB-#zg)7yjiF_HL} z0ev}`+09>sfA1@l9YQa*`>8p-Vmyt7k=7B|v9wcQ+SS*6H?4U{NXWeSCbReggo!zI z>@&|j1m(`1Nz_F6%o*XgM39~)u!r>ozn7EW?aeN@+lK!noXYzREV`wrL)@F$XMQeu zArZ4Ue<_@v;T2ocZMOkwyp^Q~T)_0y2EP7CSPQ#Xxi$~&OLoh)DHzrWx!Sh;!!e_Y+zFjwcPv~>T9?gvDB))Ex)?xFpFl{*ua5Qmh} zaYES=Efht#p6Oie{o&ZBZk+eb{1iV@N#p9ZHomzi`cNOZ!xs|HvxO%A8-mQ0musei6(2q;C;MmVUM@;?$+) zLkPNS)_1SD&h0Ye9UM#v)bwztj~jo1n*{i*G~^uZHsr<>zE1#o5uo`&XfAcSpQHn? z1(kpwt5etFRp2#b!@u_5yN$e{?)wP-RDJbuH}TdQ_!r(!KvC5byAEE`mz^Zz{`RBa z?kyIh?)zy{rd{3JViUK~i-~uH{^@qS2i#e`MfCrXbkb#f%krY@BM$)nziQ6bDp!$*`H0o6!gsPv(Ui*`%RZ* z+uvWZw2owYQQIhAjo66>FWdw~Yh46L55$I)1I965RI;G$Kdq>7(UrCZxVDKunIMM` zsalr08GkNloYNS4JJT0Z*Pk=H+RtDznqjaR5L!~xsLTZ?(6iZl3046RvhCfb{FE>L z|3q_M9)w=^GVZ#|uLD2A`TV4}l$GA-Y77m{XL6ny3v%;j{|&3R`~)>4_Ag(*C5Xds zWn~LMN8!A?NO_?zN#4g$JlB`pIRQ|vYOcaDU+3OUVDR>t6 z;h%{b95GP^WPI4#Gd#P;mQZ!XB*2FEv3BeOnuIn_8a%fh(JloG)8EBvl`p9z7f#ii z&F|=9kpgkpohaa$l^87;=#8f;l0-O*3r^W}kNVv>&H7R27qll#|2y{Lf*8I-Z7C*uP2j59Xm+r_X6nu+qQ(p8_EWk zASGoWxmBAUfHiNpPZXl0#%q6Gd2?h%-1tF^E;o~QE~^^C*~gEqD$h!+<3OXHoOH#+ zcI^7G_bD5){}u0>)`R+&x<)(Q9oOhA%#RFCTm)u}K3t2W>*n{$S5{jN<~~H}Q(n{N zCl`(np4~-fT=7lk3PSbqJ+}|0yfEGI_Pw$grHayq$<++!FEu$!vt5!S!)F0y*F{f+ z$4*jirr+=7FBrEG?3H||hL*$W{-6>8{CE+*L;;OYvTs9wla!oONNv{#4`OgWUI{49 z^jT~cuwr1;{dx%%U^#`W$r|s2^zU*G2*u;YNA(Ry01SKobja72Iy~F&eFHUlTYu%! z+ZOW$`!kiTco#|)d4aAvHjb3EF08}jjhAmqDd(V5*w7wu5^;AwREDjtu9g&8PG(0A zkpXOtq9h}?n)`cjyqxgSq^V#!b>x&!k`<--Yz-p$kuW$ONl4IJwun@EpcM^UE2cFM z;Ut!pJTGIq7v2MeDi<&vy(vR&L-?VT;=rgNwysDi_lz0-kX~wL+)CSuG=}*N863K9 zZQXh>3K7DoeLK>FzXb6BElmQ{ZISe2J)NUUWeutbO1QF3)n7vZXY76yWJo9Kl(%))*90beS!F&i+6=h| zuyiN66W`$rtEcX+u=W@rf9r@q-pW~LMLTMZdFKNHp`UtByrK31KjW_*OR_kng-rlC z-0PdPKHCjW$wsJf>frA0%iVviFF$Bjy9_BpvE*Br29-4S3>$51v65w#e>&gz$bZ{aGedBswbN-jIq_d}=91eOR4Xsg}NMWTt z2(-%z#kmvPV!iw%NlEy3Ux#5+3G*lryLN*;Bpdl;_~)eA|v*k89P#Ud>yGU!^M z636*C3y7)K6FT%lE)cC$)j;&(FTY&$OU;nmwd1&#R{f+E?NZ63h z@Cd)ccGMJWg6J;C9bC-etJa&dM5McXP-@Eb(2U%<=6ri|FKZHlduhN+VK+l-QUODr ziHf5%JuWdGSIm`HN9&TO*(BgMiv*Sg*46~~lo^PtL_*b|1!Gr1j!KV*3IqHcCZ~3AVNYiv_lyuJnL;6GPe4Q>eqMTVc>y& zCX>t??7cbp_RH7ZW`(zlV*^KTeQuJumL4x3JiHbN_9guFnn9M_)KerH2%XUs1X>Cl zTDTzEkaF)3sh;rEjB(vuN9w{4s}Y2vAWIS0HR-q49g!5L3E)Hp1bCpUw+Jx}FzSC7 z6Y~B`yjz|*hm)N|)VnwDhqCQXkp~qStz%r<B<7mFg- z2wLP{zdXVG36c20Y=L!l{jZOo3TsP3=1gw)?T;y#WcnK-^UP2<6J&3pD9Zn`F;M;E zOeu*(nQRnhzBQIi8ac8xL@<-^0$KM=n zN8znIu8izvF)?9a&7O8>Frf}lv#xrg;sqoX*LD~T29g{uJv?aGQnzsADM?E=HWikk zFP;Gr6df3+8=b$MVIp|TT$rh#DsupIbT9u#0gAT)wCiDa?!p=HahRnRmujUI;n*^% zQ|~cZ@G62!lcGwcPzOODEKRxg1j5qFc(+rFRAt0iG=Lpy3*r`Iiy7wtVU)^L201@9 z+&wg>B4>OsQfR8?KhpQv^U+Oo6Q3+I87Zj8-4SPobp9@%o3i|NV`kaAs%(hSo4zl< zKF&;eizML|ye?7!dAlP){u`xOiCjZL?`qHWw(3BvsKs_mCX#?uTOsjkbuwhC-vWy8 zXLZ3P%Im!nKi=q**X(iD?TtNO6SnGaUq9Q~0FaO-kFk|mfKdw=;he;i!=%2F6axIHG*{9DNWzjo@gF+t{U zkHt_+Fc?67SGTGGa{D#<=8R^w0Vj9sNb6aSz&!0~v60*#y7xpXi$8;eO1n2?J)WC` zEKJcpIg6}`g~coWhfh50ap=|jJjt#sYZg5{^j9>35AhEPq09ir0OYHV0*K`jjwANh zveZvmd0wmQXuI1PxVo^PXsEWj)Y=gF_dvi}sYU#+kR<13p(M66^VH28g~X+Xjo2$M z{+R8$YV(jAZvmNAFpIcMZS&W&r61OO|1w!8Hh*Jc4gzCtg&8ja1;D(x%|jeZE5+kJ zVJ(#cKlr{Q+KEM_7cVVr+=+Cs?bXP>(3FNAy)daj$5!y4KumrSQXtvbp95z#`6q8q z%)l|;N%olcejkig)R1lGsWBsyR#QV6snoSaplbckQGcW5Ge}oU7%(wogo8FLx@`$p zDMd=Vhu4383QNirp(SKhGW!bK>X4)3%5h9$>2L$u>^jcAuPU$mjy_AGuj7$>76R+B z`>pPb2`zvTr|rZ7og4P2u}~1i#kn<3JFi=si-m0rbSz@8LuS-o{pdUW{hOf^b(vB) zsU}ij7pM6m{$qsaKuWIuJB&4xD?Eb&Tk>E2$!p6q|ap=D{F@!$8eR?EO}&bE>>uYQMUjr3OOJwPPX?<&6 zaS*xsDzId)MW)LbYq}Eqiq9gpr=|Jzvlm5S(tl?D1F4#OQiK751*N#n0Nn^yf++p4 z=MXivKO`!DLYzvF(T!w>jHD#N2awpSpJl=qO&BU>M{srxwJ{OID$MLo`#FBG{rRJ^ zh4G zy6=wNGg-1FSOcPN$U|4!fBqZZJuiW56+%Top>S?%@AO}0OsR;d|5{d8oEjtcd-}Ie z*jKjrLn^zbjT7jce&W&Fm_dK}7Nhe{6&V@M7OdNM1u-jmAia4zY|KaP?+9u~R!{>v zo0;{R9&Fd|VP}ae*~u&o;#c-NX1mI@?#Kg(!_9MAs*DJ)3)) z`KAz4E9(eKkt!n>H*Oii3XF;rGi`*tep;Nym*F*kLUe@<8!G+zvFON~V-Ti`!iY0e+5aww=d>V--4g&dQEYZ%k}`+t`w?ADC1*y|?&fGPkczq7#R zHJ_N1g^#TN5U76g(eU{%0B3`S6Z& zKf&S=Y2-unB6}Q@(k`nfSS1{PS=oYJRL#}4d3q|Wh`;N&Tn)6~99Q2{bm_!u;lW<( z@4j|6Q4PD3TkVqmXuLhqV`F4zOzf{PQAQGvXTA~6|A_wf3)+<86&vDyt^W%=%;~z| zm7HU$=O=RNM^J)r+*GA_o%lN@3*1PTVS%*0x;uj(EiEeoUVodIR!vXp6?ccnIulpQ z4%LpeK%_p9=JvFDEMALB9uB8Vo<#J_qJ8q}n(*mnQI&B06f#Es27(?u*-GNxfk&$~ zl%*|r=@8=@YLrp?)wjotUQj_#zh(>#1$Ct~`oy-8@3G1UmpU{dKYBp+uem}J2CI@I+unTu-RXO*K3-#us1}~AuDU}$q^GDtK zc-iU0Bu6iY4M*YZJqBTp!Jll+A%xk^rVJkEdL2y(oeKFU3D`L8BOX}?;z|3yu2k_a zx*nd3_#7v+!ioAaIyLMP{VaZ8p^8fCgjUh8cdmK_2^;1IIiw%_zP_m-7mQIwgMi%6 z6cra1780Xhw_}A2D(6e?rDbCj;HoGt0;M?RXE@N0S0CRMt{O%sH>ZwB(}p~d>8%!v zSEI7MkH-Gb!{?fj znUA@tWvPgRY-K8^VHLfWmX<(pjSJi`>eH-XthM`D=iPNtve9+TA+lBw(RrW2k63MD zy6_ddo-T7;N-@(L+QPY8f77*kjww+BfkcQ5V}?rYs71p>34v{pr?&xpJw6#z%iGCq ziHho;moMB#G@lNI{SMQMi!u2VeJjqI>@ujaR!~dJ7$R3{Dd)IcpjO(^hGt$LmL8X- zElg8~@D#!^iKaApf?-xkj!glP5h7fkDJt-FI+l3OBqus6g|vBHXSr_|2bmIj{4sNA z8{YIelh2Co$s?OgitsgYcT2ksRk!JqiypbO8#I&oKHr@eJ3_DIVz_~K>`VQIEtk|l z;}%cah>+Us+eRZ?IGtr>wSs?ZJwjdYR*Qn8x@>&w2ER#C1{;h{nq{Y!`0b+{`(n*7 zVbGc~H;E|Ni)5&4%gFLIyJ|4I*E!FyM5y$RY2=RoUQ`TOWelGkbmkc*71~xQd5~sX zbEXrgMu6uEazLYeIcf8bQVwcbK?k9&+czI!^JiLF2?SlqaLsv8rHL|_fy7YkR$TQl zy?-9L>MvAlFox&7MAOxl323OOTY(Rrd`zs5Q}ysE+0ng)Vz%)m&N{wl4~1;F?S1C| z1XV^!4mLqM_vypO&e?}pV4SET}Rav>AO5gN8w8o^+i!;ySA{64S9t+8gshYSx84n0JruhgA#&LXphgV zAetYF?A0YEWZ=Zr2H8aNUCdAYLSFdcs(RG15`XIV96w&z%XvrCw36b?sQ>czkDgaP zd+0BCOdNo>%s-`&;N?Rd{<0hA51T!XZIzs{3An*^x%3$DJ$t*lzQE32{lXpvH($y% zt9i19%I9qq+U{>|IF<0I-;0|O5B~UM$hU{}o(g={^~CZ~*aEYpuR0@C1uMYf7u(gt zgL^BY?8s9JtySs2%l!1Nd;l7&tmJMD5friP)yZZ1Qxv3<5MOuZS@P0Ed&{h;<~hVy zQ1Vf;E9pAz6bbxEW>#RrP4{8Djn%K-NM^Gh{>O#q&qNx4`|6Ul<0qQnSYm@2Xf;`S|wRUzH;z6Yad*N?F zwN7%PF(iuG9p5}z#a6ZT1&|4ml&~09~`oNuOfBMMI-r%E$UAW+lm)Qa@I{u z#^6I-?w$^>B+;0e`Eg?%(PQ-~v|NAj?Ju?@_12yHXnIr0(2cuJ!OU@7WqU2?PV7mg zU~C}2b4b>OgaxrAy>Qd%QiNGjgzEU`r^PKaOEL!fw?xH{VDcNrc5R>EX>?4f8cS0< za;krveB&vsk17^XyED#z!maY&Zw79_4a_!DCOBl?U(C(nvgb<`3PxolO>r{@YiEC| zq%VF)@V$AMk-$BVNcQp~foxN@*Dk#cwr87iKK_$x%<=v6PG+x2xN2jXn!aQpja|Q3 zdLk~wSb*SxM)gY4usJDdw?jj^o->NRRqe%$q{tz{xc@?3Z($0YRLaVl z=>0qb6pG~U^GAfrb#3wPb5g|Kq#;JHT7gUZnu+pq6G6z--Aa?)paXfCD88}{**1w7 zep7ps{z3dViaz{+Y6g^QIb2W4F;xpz910!Z2n0tk1nGCK1$3*E@^TF6dUKg~*LdHw zBE6^(pTJl#G>Z`&kHYAK^@(X@=}3-cxF7{h`Zze1ToYE)L_e_L+nX5i%0&ifbRU%* zF{}V%Y(J6KCDE@HYBt}&zi$cFs`znJe{$axSG;+ev1!lsj&m30VzHf#elZg&UYICZ zTB;U^T~#V8X_rQge?wh%c!r%{Yo!P{21J@Bv}F1=ELJUG4GTP35{ww7-xR|Q!=%*J z>11+WxU(caufDBbfsff<2kODbu@#L9#P5y|B>`C465dgr_<>WyG_GpEY;_AIA~ z^=aiJlC>3?ZsB9$)CL{iT~|K52!dHXC~%{5_TQzJuZz_=7^kgq*05av^XVyy%ZfLy z&_jNPPV-xlTR#uRDb}yy(viIn{kdpHd^o}=!GeufRH9?b7?*qsn5JM?VoLs9I&1{z zu%4J;o**|D7Xs7cHvh18`|l18FBANV|G9NDKc?g+VydgTAwjNhL~_K3o+8pRo%Ffmj#uU)tji85l?NQ0 zk5k=}YDLRx!>$y97UScnCgD^WF2Z#TAjwT(sy;(>Y}U)h#NPj;!L_DotEl*m88q6= zKR#?%XkmR4KObGC3b&q>!)|Y9emrPoClwgAQ4ffvmveV0Uyez3Bb9HfsoV;MnLN}+ zh&T@&#w3Apr)e(F&+|gSQ<-(2OAx=lOAC{5Qcp}^lC`J|PdR8J{_%3M$Cje}u8aFT zNed6T8;;>8wDH$ipAx1Bq8Yd4v7ajH`&`n?T9 z;{@s<{ONRGItC&U22Y@Px2~uW)#?>h#8JFqPd)l%+eyhk>;`8L+;1dKEl3?hFI0zV z1NjV-1}RQ5sVMojr(ZrAZBy;Nw(5DT>@m zxISxp1=Iaz#xhCT?0iqbN839!D3vk(a(E~cl$z5=S3XyE7TT8Wm~`Q?CvZ&9w_}X2 zyoXF8_2#oXe#nVy^V(^M@%|G9B*X%L0Lx_KjA7%u3pzbn$iujWr-ujOZ=RT6ys?kD zW5g!=Pxg&EgZQDw*F2wl5|K*1IMD(niQhwNS#u9TplQ|^^?x|X*dS3>l_*i9ip@5J zUJSWDfA4?cGzU51+f=8D)_vBOOIscK9%(DheTy>e?LVkd)KGNss*?iiAjk~bVWlZn zt@6ho)j5WDDpkhmR)&onx@~+7o*ogscY6_hV60@| zS=S>kLi^34kL>Ge*EFV@y_Hm|?bVYflHZtlvL?=|S7_eGTfZ4`Iw4-hK^&2u%3_f| z8i-NtZqO%W>;qD@p7JXsk%xwfizYeb^WP0`>6GvGIPvQ8{%qvd#xC})bI3Nk9wBu$ zDxL^<{5wZrpJDE_^|fi$c9Hv(X?^a`)XgK!G=m6LUULGoImv2KMn}-HHpgf@o-v_JpIr zA54VhK%g6vFRzhK0ztXf>0M`!K8t7VpSs-Oje+Qaeta=}A=tI{3YVs)rnitS7ZLcP z%Orc^pZE2CUKP=v8!_#MCkjY~|Cu*q+!g<^D@TDIgW~v3KPpkQ{@}5UFuh14HuTQE zc?ELC8nxDCv+Sa-K130t+;Js3%OQ^zpBCEneO;``G651dMYVww4^6Xu5$)q4=qWT2 zIX4y7L!scq$So_wLWDRuPZV;dA1y*8WtXcyCxng zD6ffiB7ONK@?QO&eAL0%)7W9b${_DT(}_>_$8CZdm>iPRSK83s7GqB-31LmwK+=Sz zZnFTm8v<&RWkNFe^sjcZs7ql731~P;Rtf`hm1`p1smi<-r)?N}NtR({R-1p^Y5pnH zvSH`F>W_R^(dY`x8N|9-2}XXiiScU^nCp-|Z*r?$BVXZCSX9}74$_MGlH*vdmD}m1LlLEnwKEwn4c4&qs9KzVyL7}YaA3u}4n~OyGn@N8{ z3VuE*$W$1|2|Bwu62SZ{S84mOE$z!%-P+vf2wbkTpkzj&~37W#bh=~J`I zXYsMfA)enllu&@aAQmP+vpLyC7GkXOW&i?kLe}g6bk6Ig;@~U_Gv4Nc$| zXdZ@t$r}H~=0eHQ&P0}{e6jpKH?k^Em}B~?Ny2it**V7|>_={`qY~#A9ni)j5?!rV z_Irc0J$;Ztq>1(~YR@rI*S$u)EBJLV-GmvElDLXagf7p3c3sNB(3cbhk0t-(NkP8E{=lLWfHAnhGxJ=F+ogU(mRWxs^Y>1HNna1mu6EwSXHP)Am9&p zfrd1hkw^sYYn2Yr{hQ`h4k>}@RWGMU%6OA=;o z|AD^Lr4VjXwP1sC2d-PPee9A%FN7@Rxs$e(-o(#pT1AU#bDP<7)b08*pyVYOoxIkj z+-!{L$kE7Z4Mqsf`SjwHCmy(cn*R!6?^Q2%5Vex(!3fTSK1bp|vWC!2w}+@?!g$_- z@N%n&GPki16wXebYR@G1TFy+>If3#U1L=Bw@l;pW*UN-l{rjhm@)t0XfgSKAzyS0Q z7~8$3Ii245zMf(B4jngQQM2E{7CAWCHIvCgl%d~Pmu_yFsu&lo+wAcNr#Qx0qb6F% zEu88EDbiDCd^ULZ@}%_V^cO1U%drrHmDD*wVtTj7kU*+{Kf zydZ+>L@SoWo*W8!9$19*0=KDCT+Sme%05G>`9XmzJg_+#2-V_Z3yv9 z)%SN**`?8BR?&QWX7`|)3pTTE)b$>>P(>ba%a>0g4JL==jY}YL^ zMcjyw(tX{`}Lg|6^?K-B$C^7@T64NRE4WrM!N4LH`#v9F+N=ee>xq*GF7m zf_J0FB90$z2+YgACz+e&f1}Bi9&X1~Vb>X>tX0w zvZmGGp8Wp1ZLUkrW93-wa8W=SRq&vXCbR+H<2JYdY&qwcP6iW>iaHY!Sot&;NZ;Kf zS$pHA1b0e!F9e$rf&p({;I*X$G5tX8QI&~pcuCo^vtit>?x|Do)zwwknG2#BSX?5c zPUs`Q2V!~4`)^Sj#GX7)s9RayoC)U>Z&Yn8v{b}UKB{6mr% z6#2m^lblHX_Lq>7@l;0`&ma%!cL#{L(tW7O2NSB_ZTN_&(c4&}$4?Yd`B(Ox29gwK zwEOj)A{=Ht}{7UuRdUvD>FAnboy2J-%pBEIh8K+8c16QFv;!rG#(>oYkOv}=7T5FjA=%gKXa8PPWDn_0#?%J%= zND&3DTeDp_YRrg88@VO}E=1a|4rs}DQ}9#iD7&s~i?)Ab0kBGOGeTGqc(P(Q{D;nOj zaT>{>q?y7@3{0&w138wulbSN(rsGmJK^vnywa-yeQsaa-A6YC(&&h`+_W zN6SfzFShxZ2W8L~e6nVv!MBTkk15>Ra)$sMQ2a>JbOnln4>o%MW8fthhU@0;r~>N8 z;@drZe2gsO<^BBM1KUYdyp~=QKe{1|@OQ$H?rCU%%^x*J7`7-0`8i>v!Qrv_Zxi|P zOv-xZf0xZRKBJRwHV~z*@ZPZb%n9<>sU8g1EX=T=e~}bJP5wq#$uvrNc=V`j7y90R zEP=IG$OMHV2!i@0bi2W->>05O3{C9QRv)s)0WyLpVjYYIv%SN9)h5zW&0?A^xKIS) z2ZtXOk%%FEl9p7s0-P#U5Mjt)TA>H+1(#2T z1{%1$gLdr$zj}Nhe&l$ad7cGfWtr}^SkG%}W|UpFuNefHM7gYyFSrvU)*rRSKsAo= zTHk>wKcHHPJi)rEj^@7Lik|oK^siwD<3AZ|J>i1Ty~)HX4jE)Bj&%MYL?`Y~0&10B z+|V}=F}T!Z!NqPR0*cK&FioAq+4Y->2M#|wtwGDSH8NwNp(&HC7oDMiC3_TXTj#_6 zOA7Zz9I1)BF*r3MR42t+JjFC?_UI1^x{zNsLUyM)BdK7|j}Y73%6kJrud8v>KYzxf zlXf6D*Rs5mO@=-;%6g+Lb>~DY=-CU1)TYL@LI(?Th{q}=*{AeRsZA;W#ulp_|1d6= zP`eJyzJ~09nqs)_o;t^|o8~+#T#WL#XoRJX9O7#!7dOfHzfKf1YpV^@=vj;I{`%Q^ zqqIAsVqrOpVHR1wAX8muI&1sHR_$1n=vP`#S8%Lu9e*OR(lkxQr<*9mo{tZrqW&Bi z4eY+wadz7LCnhOl<#s=o=g^SAJw?wSF*6Ur^wFxMes*N4YjT`kzb}fNi7|CoFzaOmlu5z}!u1L~QnYolbN}Wh z$?;sJrEQI_?G)2IQ5u*RVbR=qu)XqFa4so?e6heVhFX*7(uwv3=}d7H;@lTGpo~|S z$#foW^US)Ch+%aKbLMOE<=k zlT})9X+FbxBPj}|1U-zfJE&`pmC}9ru*Va@Gw}Idr2Hh1*_$dO6JrR4cBnx$^Nb~2rbvbD~ z-^Ls_V3ftSfPJ&8X+4q$Px7moh;X>dJsV`7F&|-ZioB)RAM_ z-KJ%nVWe&z96JgbzeYa7F;$(H$e|V6pAKLOZM>TYtQ)t)6H|Wn z^(p+gWSf&)AOq>R3Mz!cAcPN>o?plt%>N-TJ6K4r=t}nzn_q zWBW!acI!jdWVj+#6mI)XiLmqi-p}c%LsT+%ifO&1FV7kNxzJaR5PYgh&_5BjMl`Ze z5=f8G=gU%|4ol0`w8(}Br6p@Oq@co7quRBhsU&?G)ceE7=xF|bLq&dJI}GYR;-)1b zp}c^HP-7^tr@K~Sd-oT`6JS2wI+Z4weC#nij}eXuUms0SsaY@c~Poz!m^sgw~Sou)j=Kp^ixS?QKkkXWI$8 zt?h%EnfDPHIprf=LZ7?7cskKlLzbM$&kr$Hkyx90PWQAYUGwC~>7Iy2(>?9l(dWo5 z@b*Q~dUS|OiQG6>*qHSaY>!jDU2qP(GS?3#-W+x zb|Gj@AfmK<78GxudczuJ#|j#wJ@$Oll=~V;K#;Rvz6$$O8&~A-XX@;l+>*jUzXUWT zy#3z8#StL}{sZEap(|JFyyo|k-gubj%)du}zJ z*-PT_RcB%-f}nrK__?BbhKA_9SowMe24IDTGf9ha?w-;w^+>p4iL{vl{QL(`xo5~j zOGyzaAy`1`A31Ju1z6Ph_NuD6p~R-P>2D!aK!JrR;or1Zh1UJ;G_2I1V?8A1-^;qw zUkGLmarh9v?ml>2K0N8^;w~N#q)#wF(O1IjD@Ro{V3^<~{^tt1Lp+Et7A3unu#x_| z!HT8AEG*Z_am>O3Qr5?pJqr8RZi~UvsFkE&E}WCAcPjvAnJmQsvo@>+VfYcP{?pDm zuy>kzLLl&FEN;-7y6i`TAK_wtr%chlVkpa3l%tB&BxKGpv(6hL>-x1!+_18>iJe?^ zNz={X(m/l#LtkS_0g17gb*hMB85ERSlX_11}45-C6LZTBBL7>8AnfiTw`@-^)W z<4NG#TDtPO&^Oi=_1^kq^QhA(oyQP<)A?od?$piOxAq0F_o{!g_JtaW;XAbQ2?1eR6E%P%K zw821#IC6w;eg21ywgQubi70a}od(rF zTq>?8G;pHT0j(EHG)!JKvhU{c`1yIv^P?#KAb!44nqQk1^fRV^7+1#0_FybmMzm8` zRTl8!xjRIkleP(7O>T5zl;pdKCsshA{O(v+Rd#4Z`w`XHc>;Bs2RN3LXp2g5_ByX7 zP{()2TT{}c>4Js?eoJpbKgbEm1ZR;l5M)MuFM9 z)}axOORyF-xAqScJmDA+5+w$(_Xg!I{_5=ESehJD*ncj-xaX8r#EvU?8##s^9vL6(trt>LmKQ z#{Vg_FzoAIB#*n-EXS2Fc9-X6UixDe!0$7{7szaF{&vkdK{PPQp@d~euA=)3=OeSa zOWh84yX&pb0gcM+h!qGV&$%QgZ{{YYrV+1pD7g|vb0@v`D{YbDiS<L2Ck5!& zNk}HP>=`uo6n+5$^+$MOO&7md!N<+RFB?q{t!YDScMFeZGn&j!W@iM@ngJ*AP3Fh=-Bj)S4zp-$X!U zqU;Gdw}l~Ypqja)nJ||UcaR`H$M2Qsxoc^V<6^FG$q?8JCD7@;|~ z*6|CM{ZX(_zwNT!{fNj{>{B}8($>Wvtsy(Rw>JcgB&41TuGY1lcrpRn3_Wdz=f#B3 zmJ)Jl>DF;UB>z7WRik?7SoyM6md6VI0y4YL`nc)!FcbP$pYCQ%U0KzYrl#Io7wGU& zSVLx&>+mlACXGt{v8k&DE?EbCT-jipIaPlZidHO1(hcw8UrSX7rdGpuSFe|IFt^WH>z>V1}0ep{XKNTshDET5yJ0^aBnDt(EBh(V zy100E0?I7cie&7BW_e0jbybz3V!Rx2xw<%1zqz=`VI5Q(CY4lHcKhT#!$l#n*FyFv z!@x5xJ;X~Y*2DX2$R!4h4F)Z^;3C94<~g9PBX1D`>=HyhTQE|Rw7}c?U*H*Kw6w~| zU9TT#8M8TT18ERto#mlhaU15DI8@IWglW0W`ZkfG94VFhnaXRzSzI1 z)W{CqB#M7IfD1t<-6a`qj+#>YQ1S#7_m(z;G1J|fe%e*qKxS=MN?g^&q|=~RGB>CG zN&i({P_(Ei7M8b`p~EHx02X+ErIm>+-j@w0bwSak|D=uK1?(C9P!x|LYP#A|l)=BS zjHZxF6L>1^Tv&kGMgdPV>F9TraLf)V6Lu?{eP1EMI4S5EE5_93b7JbedSj%)vFImN>Ourxj;15K%N=vbdcjL~zM zN#`FMp=vp__@wB*uhxYbKjeS5!g}lA(?8Wl=p7g*-DIxfPPpGdN1aEi8Q9&7%BH1* zdSq%cd15Fz;IRn@r`-p~AVK)WqL~yyZ3ZBRk?IqQmgzrqXqwu*xs(BCL3$nHhzP`G*Y7dl!C7FtEq%2> zW12z6!-We*^SyS59G2&08cgZ6<+Wxap<~@hUu(AC)CqN)LU$)bxh9))Tp6D%c$(;1 zj&!+KTeYugP5Fx{yDBc3AD#Fr{=p(Q!@vuzT0YERa4obCHWzH8cThx}Q zIM0J=NRS9G|Wa=s}eWu|=UlCIvGySK}7tLvLe@>BJ}Ut+v-#!0q-}TTVJhDIyQG3%a8?!;#`- zb}Tvm>{R4}RW^iTkk%X@^{_#5>4Ax`r6))^!!311p?oODzL`uHd>%)Q=r!+d+JtE#Kh z9*&Ql@!zJ4m)5=;mq4yz99w^1r~?`Ea;!UiQpkDA=zb`4I^7aw`Ba@=WK5dn)XO@6 zzxkpdyZPAlkzjIC@nU-1VjENZuC&VLgLrTqXkfEbl9@dGPiXGtoKLr5r6zp3zvQ*= zn>ldMey5Yb@HH4)w8Dm{Vf)d?Y9%n-o_Mefc)0%D2BlhaGU^+ai|PFBDWnu)HX$=D zC&-z}+3Fxxy6wP)R#^9haEH~BY`J{UJb5zkRaq^1Xzk{ zKX^2|`Ch`Q13TXgdwfx*$eJ!G!Th#{x`QEm`J-&##M^}M)Z3ZI)W<)Z&ugyI!){GC zbXoU|G(@3k-`hz@n~LX_PX@;57Jf;<=9xpXlagI;blpI_Z#5j%P4fPVEv+tNoUhWs zO{M2%CcqD6enC^3USj)&riMuW!wrO7cT3%>T_-2bFAD_(6noLl+Hs2d>fUhfs?7o;&ce&-gq2ip-+m}TF%|+MHv6Muw0c&kjFq^&leM_>K~pN z|02>ZO@;q-UBDhiDbXk8Nirw}jmu7RkYaAO>!s%(_cT=hRc-PIMw|EnZi+^qmF74?492we z|M_T=_`M%~;i}^tH)mthD&v+lCr@0j+r(-VVPl_Ar|Wjh{Pwwr8<`q)d|q7HM7gC^ z8+k})NM}^Z=E8;1><62-v@Ngrww4)7^tG8B!?LKv*hzE4RXR%rcjesDsYrJ5{-(~j z^gRo}HRQCb*Z#~86#S02Y{sb!1u2b!7hhMJQY=ebY>`n&$TKWg2>K`;81M=PG4>fJ zc+sGv1v=)v64XoDBPC1V4W_ew(UMv@Oy>-`?nk=DQ)JCxF|=khh>hiVf%)a0P+n;{m8R>rd?%Ow3ZP2+TcJk3=_w}Cab+WbAw@FEBk;5G<+OAKY zxABnGU5p7E&Ur@ed;yBuYk(y17u-FM{FL3RgzVkJOB!;qvjcs=0Vk!B)Z3&JhQi~7 zS9jd0KMKBA{$QP_2`$=Q|~%zE3ytMSUJmRA_?g#JA?!+%kOYV7{|~d zj*RiNX+1#ZtpF9MyzKHDWgmX0B{&8&()0J(dd>XbY5gM=vqQf4slB15bbp;9%OCC= zX=b!M8H=Kl&El>zP^?X1r&~#|%uiOG$&5c$ldf?F`E|%X%ytBr=S50eh~zV;Y&-Fy z!wqy_-pp5UGEAwwjuAF|p0#28^2rs5zO}`JnGn@3(m8c5gg7rRocOnEH=pcC{q1*| zC`}eoxtSb0>>CKfz}w#4yFYA9exbNKlB%Ej@OjRFXxPK%Ddz$Hc)wv%!%>N*WJM@_ z3_kn)ol(|f#{{Ouz~eRBb8hS4WED#GtcQt?RalgRJTr}lrp2(ZZuKI6=k)2+9f61N$g=*-M8Fo|MCyz`E2p@%+2ZQt{EU-9eckeZER>rIhc)_H!7dr1znBGW_o zhqtUwT``|UA|HW3gi#3+2qRSdBk-%L`et_;U%q03l$z3`D_K0KtgNVFo=4heJ1mUw z3|L*lq)u6BvQ7tT!HtKDj}Kk|V9j`X{h{)~g6qnav*MxKEzbV;DMB_776YuC0YXFS z1ME)7?fG7MrAleie<^xfYr#cd^XTTCBdyFa#rGx8ji#fjqd`azur)FMV4g_oo9k~74Z*o+2m)oD zP1>y|8tQ<9+CnCKn*I>DA7&Pn+CP$i0qhNqYBvymRzUQ-wk>peve#%O3n{bBb_sN1 zFe@%Ea^UwcP?9rRkey?OH87`5?!v*tG({%w3Pr`~9aPMdZU3}{EpNF`F^xwO@HsIM zgY2-)nD=v*+E!wg2Jf>~E0HmKU~r4(%KgD%z$t^OTCfG6 zb+@mXA*9$-%w?GS)HG4yl{;7O-ys`Gh_g?O?1VJTJ36;af{;G6f%eJWA_v=&A-AIpgeHls`fuT!cKtMpcL0UQ_hLrAZhVGK??rx9Fl8`Wm-wW93fw@#Ks$-=f5cK`K`sKvZRWK_6mC~dduylU4I=8X#Jnl#|1<}#9U&ly za|v?@e3&ImlOr>G(un42N${j8`=n*QrAVmoDvVBA(Jm40{$Ar1J%3{{>6zTkhJpb@ z?~0-NzT*KaNorbr3B5BWhN(Mjx$M*i=<5raJMirlAZ>K zKNLtj++8-%%tdOD6J}*mPyfEZ>hL{NskLoh6TVv(+C0A&6;cK@6f1_lN| z1w-FC^v?>^OgpsQAt54y>}a)iyHGyXN$bD&R-7sftjMt2WFKaHxe3;xj{>8(^F2C5i!E}Xc6>lX^l4) zp__mJ+?UASzTwazKJxLjNxn!%_pqgklIM|Bbn|3a;F4g+>pk9CT2`?H*3#eKMlVVo zE@x?L0nnekNNs;aA)YN(Yfa{R3Ju?mbNZjLR$J|)^}8Q467_rf^TW*7$*FVe!W6sO(7;5IR>BYH z5R?dXEA==)>(unY_4UAEdfpuXenq1cMUP5geZr)Gnq=DYUJ9yXihg?IMUDn~9ZFC@ znh%Hbqv|XXs3LHHKq#ryJ_HIM@q^h2Ff<6Z55vLB6G~`|C*7=Btc3d!9PW>)BwfVM zc3;zcig{G{DBe8e8xAFs=eC9?QhgL${vdW?g(lr3GmnQ6|Ho!wjAU8eN1Y~=$T>G`hkD6QOi>mD4+`9519IDNn7mXj zJm~&&oAlLtTCrHEU>XTOAMCKqGR52CFZVdz_HC|Lw>6wp1)2|qjF#zYqS$?29Zler z*LamdkD#T7UosR4HNIom46?#gX8b8}62o!aC(I^dF4PS7G~r!DLW{9c*Kw&WxrM{D zQtIjCa&awN-$3(x(Jtb_wNlu%yp=3j;V;^B zENRd7p8$=S!x~%g7ti~XA3qp^YcC#e9ttnel*irMO%LYgctN_=IvEo&Y2hvK;_qz< z2??jCr$Fs7WGD|Svrc!|l8hxGIAmU%<;E==r3uD1Q;Y(YDi7habvwV;$5`s){xqSU zVMR6cBQb&DPEF4|YOb|#DCU4g#$CjFKOySAH08rRf+JbQxrt_}=f^@{x;N&x%pb{DdA!*lT^FTfe=34v6~f%#m|egR z6&+Vu_=^TtVdK7)4@6e!8joj@x)PjmO9lmRZ&agZUXO8Ny>s37>KJT}eTV07$EpbD zs45?HVdR{<-5KeBSCPl5PeA?0rtzeWi)pEb<`mJf#?RL&k3^CBtLCxVQ`$bQWp1CY zt8FPOVozJTZr(R*`J`wij$`JZt_GHBgmn1;1wp;egf2WNIve9}m+B+Pzw5vM$vOTk z{eAc=*Z=n{=UD>AGV-|}z{LaljWD{+E1^iR_ZK z>%Da>MI0vY+SA4Pi1MzD57)V)#)HvjULE>GNn-sd=@iO`{dtKRx$(7Ib0-JHexMI9 zbjiOkowCzV82z(O(wZIDzp3+7Msd~Y$%##YSq|aI&qsRe3-M2EVwwpL9?TIn}S6xqEBz0q+*jxsrTHx{FE6D8`@% zgw)Jx+1$0&Vi+OZviWU+;d+^Gv@VQ6Lqur3CO5uYfTsEl!Hyo|o^omo0piCP7KFH5 z@^>NK*AX@7<-u8b+N`5yXXmLMM*b!REvqBUeYW53sjhX_m%b{oGETR9e&G`3jK^eM zy%fT_W#8BK3V8cUNtv{WHekc*?L~{TQk^>bNNLLAsHzL3?!1&c#qC=PlC##)Jaf{k znz-MU?FerZrp`YZ&-B3IxhAdxrgrN_O@H0L+c=akEcNPDNDrFo5l6;bhbOp3(%4`D zy>lnOUfy5rfXSv3!&5CY${Zm)+EMq+8-WUKb^=M8OczyTNwdI9rNfe z0<1^vf5MNkPsco#Z^?E>5=!K4=s_3k@*Oprv+G~e434_)V8@*|8?Oj8p$mX{h$Y-S z*1Bemz!j#~OM%1L`su#JeB?pBC_XK&PjAlxGHr!&kjCQtB|gm*o9&rdlawIPP9;wc zj0$q>O0ro#OvACAdG2e7B8`j2Z;RA;gv*+^}(ePn1C#uECTpPzS3>*t`*t=5w7lKR@>q&_Nz z)bw6XI7?K4nkvFRsLYOCQbfKpJ$!;Tk|np*)xp2<>A&_#v+5`;3#^`yGnPU1Tn?e) zItjMGvgJYxEk)~V#)M8p3YzWm0GTL_u)-i^-L$n{+ad}Xl7MH$dl@CRqG^fxZ!`(B z4mIEPbhWW2&9r33m_NkLW5#(^GIE?R(L0^=wxkdM#tPFYxB%4 zKnz{?!j^(CYj(k=$b28rxdtP)LWMg>*(-_@tqBtIVZ2YZf~K@DKM6_!<$Mg1*@VQ) zp8uoT%LuS<=a`fWmckz{Td5|Mkh}{>Ak^{-qR3a&l=3gC?_VPwiFw` z11sY-&c$c(gkSs9RVRb0we8V)umRC11uwXO5I2lFG@x!;5VMwM zD6cBRm>dq@u;T(A>%Sre$OKor^%g7B*#v?M#(liJdX;@8$nUfqGA9GJKBAGM%0Y~L zYTx7oh5%NAMtlAkKq7td97*=y>LO0xWyeLw)v1v`t}UrvC=q~KC>4h6`cfBE=#*Do zq~SqNmdcxGQHLD1B_V(nK8_n$g*B;YE1U9 z)Il2M#7jmrxc%jUWy%+g-T1$k1{kWg{_xMaj|m^Y*MM>vZsL{CqHm3zG%b&s<)6mf znq8N1Rhpy33Z>jaouzfh=Sj7?p{%?_j0Q*~q>VWg9@AJ8cLS|@Tt)reF+b;e3|ScH zm}W!c1x)Nc5!_tOPR(iA?f>j$XW4@9bMiVAMn@#h~I}0tUfr zP3SnTlYlltuM*$3lqZ&OT_&ddW8fj?SH=knF_Sl^`dmrR8Lt_HiJy8rI})D|>XA(# z4FMeQVI4VHx&?;L1kN$#aGUf&p{2VHmrRXUAar5jnvMJ*=Ze$fs`AK4-jqpQKHkqQ zKOYfE9ATxWZKtOp^_hw6%W0xbhHtwCL!Gd}s1`v29)5nEdX+Lq`(w6{#e4>dcn_U& zQY>{~%=31S?!#F@|NWgAY&D5SBL*!q$?!G@%-)i7w?QHC-{s84xoD)K3M zr73~lzQHO;v=Lcv3IT6u7lD-I;-m26KuJMv#Ry=W$;8}S&e-&hMIRGyxEfJ7vL}Az z#unV*vHj>>wcFTH&8s;&gkR^jI#z&p#`l{lw?h-NabcwSPXV571GFg!KLz?exfM5n zrb?S#-?x7kn}D7zJif3B*{n|ksx!mt%u4ZYZ9Xh+EkF&quJ*s5kr(8Ev;8N_)1c#1 zY<&NJnjB&2_aU?DJ0rQ?U%<~odDV;m9rlI}v1ZAz(_2tpI7rFDt-^&?n91%xuDnK< zo8to@&*A@^tfgWIuB62(j6{kq3-WJdN9FdC2`rwX4l?m_ziKF!xN2)0tC{LF#hm31 z=YBB}7J5#+e%Hf4(^J)#V4wZiX$uq|?>oSu?|cD=f+^Lb-zD%|7Y&vc+%%z`@bv#W z|3sx}moIePzxAiW4cj0ji2r!(;ddwpIP8h*cELaDJnDD4aH%a2F66fGtZ85@5hxc~ zF7|U3OQ$VBmlU;jPO1qU7Q>}zmu&g>^QBcwn^%6#%=wXWWP9Z9Yd9iRC&GivJRZJA zItd+JfCuU15%{2G+O8F!K0w!CS|3v2aF$oM_{z_dA>=}e=wU~mae}~zAVHHWc$=#1 zbFLs=h#1FSflUD$bKClcw&0i<`kMI5Lbe%UfL<@l`5Q-7tie9rdxIomxA)g=9Zv|& zXzjkFGjv3w*5c=+Ju&puP64XUpYVC$S`FDAmk-3RLuNXyg;I(!OMdP83(Gsc~^U1i< zZ%%KQm#RrwQhu|cQWXWb${j%92h{42u8imbT*U)%+Gu1ztH@tW#v!7(%Y*C_%1i1N z?Wx3IzAtq6UelPs)GZBCXuo#jl?4SR)9#IEzqD_>==IG0%IKMl_x1f{3|oqQgi`0be$V$UZ>Wq1 zpXjfejRZ4NnNj_h%%m4uNXj}^T1*N#y;F)pJiJ+*=^4yP&#D``reMK_{K%vYb)u3} zKwDgNdllXaXM+u#-i+8ZF3$C|{cMB#%*{{!y18Ko^yukhV_#1(whF(Z1w7L5vj9u{ z;Y-4-KszZ?ofEg*>a~pBe_mK-W@g|3{T!n8_i=Y$b1U7cXn{It zE=7aGv&h>AfoK#`C#bq+%U_tJ$S8J0I+M2ob$)u+HMU&z6x(PLq4+T1~6329rgo|#DP z$oD^4hm#@2{(ix`uxX@N@96`^A6;86>dV>Ds!*>@S1FF_|G;?+^{XupeJk@jGo8k@ zio9J}DD4yc^dG3nRuV0&_UaW6%N)xWM!oSYD>5GSIlO{h$y?7!_)u;JkA#Luk;$s< z(MB`gu6L1LZX>o7aL3S*g1I7V;#j2Hzq-m?^&zsDFB}bO2G9~wAW=+oFmkwGChr7SZGf;I@R50#w)FJhprVn znb`fY%%|R@yKzxm=?mZ!xOuWq znYi`MsDo5)Hny-f;*hh6IOA2p-3%GXl_l(GAd)N|sa9DR{y3o$j-F8-to)&RAPw!|I~Nqqyty>UtlgtkSmlNR(^UjoRzvz%=%;zZf-qC=`bC7sV%o9S z{r#&e*2j;X_WJw@L$0E7kcx*Z>Q)!ll#zP`@QJ@_m0GU@`p zb_mi4)OV;H-;L+5lgA84S3i@-UdUC>q9V7}GSjsa*sG=pM=LFY+~ADKorfefB(U7qRbh^NWpTUdxz%*e zHh7G{pE%2Ga&iCgpdqIN?X0p?C8TzSLVYE;)h5}+(1yeRR$m%15oM)>u^^m> zRK1|<81l!M^Y4u-dnIjE9_Mi*#+Yyy)(q_;e z%|>cI`?|RmwRJd4&oi-7)?P7U}#E#W<7kPAI<}``^j{l}R?*ow3)_vSeu~BiJl=lE_yRGEs_==38Y0 z{#kD5Jw$?_ut?mtfvVY=wDDg!65|4GaXQeP&EYSYAWnrd{(Nv?3XY3&OH`wJEbVAA zSP;nT{$Nx3pCX%N_qbr15=06%N#B;3izqwxrMNX0%}9p)^$4U7xQum?}`k>FwvvizIW63z?^c%t)WtUEpphM9d8I~ zxGBp8m;T-5B}`~Z^F}%)rdM5A^U9Lx^9QOi?k!bPy~P1Vr6znMGg|G#cf|}a^hD6} zPuKW#mu^`*;q;5eI-~~=GCEG*H%7u5axx?721t_&oV2HN{5YgL z4*m-Qyl*-FqkjFq&8CqiMl5d^6%+fngGY2wVK6CF-mcj`oU%M~8^rr_Id3L&+Y)(7 zwou~6_dn1lHJi;*i^h-qKGc4G%i`A*MI`RjdClGQQzLr8td(&1#Un6YT(buO8cqvp zk-*n!1*|Y(`lBQuu$8<>dNJnSRi3ek0Z}C3f$IQ=nfWAZ{3;jr>tuml#?N-F=9_N2 zpT*wN5b4r2%|A79b07iFyV#4VN!7O*$Enb`k=ZHbr6o#>WKV(1`FC|h>)0Lupk?qD zZ>pq>0e@w1ap;SKf<|&Khulc8z1&Dn$FZ`QoPC-KV!LuOArV@B)iS;;$zY~S4P(LA zkuUDBbd{_y_%>anhzGhX{1lVgZjEGq5)PNa4f2Bm{0TJ6pw0Q7h+&f_>2w8I2_=50 z(2^^SW1xgV<9q#9Bp~yrbGA>irlFDSlK) z5sU0qDw?BeNwL0N=|F2E_HtDm`Blky$A$Tl1>f1}Gn*V;IUw}CaK#aCs z^E=d{Z*u5R+$Yw5FeLPCa2%}kf zbjPj7J=NDH)v2-bn32V04p2KBf5+6MsDzq1j}VKrz}3*)lKL@jJaaU3b;G7l?@T}T zPf}cxlI&FtUy(qnrPvwXmK(;kfw^Ji-e_X1^PdyX=|+~mHdnYO?rp6T)oI)2#hvh# zyVF?b3ajw#VaLBu#AI)eIC1Zv1fUXK>w4CYD5ej#oD%oF=)jxp>ozbSucvw~Mu!ZZ zrl^WUCp7GGquxe!Liuzaa=T+E7>T25PL(06>|~`FY~84b(-*)SaDK|>{?#yrG%L!+ z%tUj;|IJlnR!M<4r!m#W5foG^JUcsuKSQkYZhJTmyU6yEpl)$27R)SYZCy-9~ zaJ7kXmahyryiQbWP3LVtf!qSmIjuf!cLNV+=h-Fz?Rq6S0+gMQ;M-&Wd!v_D^hSG5 z(BJ*8Cr*OsH&N~=CXru}&Sru5yQul{E<1C%?;(zLO&VckR~)=p7Ll;MrQ3h6MnL^hVc7pLsX zwBxaC4Xf`=CX(#PVHF923%(;f^4+)jGY&-hk~7a{6Rhs-7~1h3H$OB&~uUDP~sqT%@gWqn?8wdRGxu z51?XRVlzg8;mp3OH-ic_u_Iyc6dxcTp$ny#(yXWHQZU#MEG<$$21pXUL_~XZf z1=gB`a8&iU}^NTP3&9M@2YRo`(gy%Mhb}$EGHCVR81L zk~;XM5Z*Pi)nXc+kZML2E8WB3-qJBoY*-HnL*4n3tw{*lG;EGsO=alYM8_&PEd`SpxKdN5D{{&nwa@$94OeKU9!BXDFx`ifXohQ7QE+D zVaSZSMOPK0uQG&1G20&NV#)+!j2=6~Hf*Tm$luKOSgkd8Y+T$y3X}NGk5M2fH}Bls z&ZF$*2&y3^*vyUyNy9fr(d5Aee}KF>cky$(4{a!FA?H5?V@^l{TYGK~1(2pZ6j;0f zfB!3G=C{Dkp0~be*|pSD3W9>Sbe&;*-iE`{ioSrfbD$o-61M;I7$G@s{r7zo*2zj0 z#MRyXAhQn<^aU01S8Ut0w0Xl<0jr68zzT4^qw%xEQ^mDt!-i;LIaFCYlVvW@sD^_E zyFo#Mn6VLzSx-cv1({3Lx%^set@)f*V_4nIyxR1u6OiM*pyJ?uO$Om~56&~1Eo%S! z8%0PtGyzrh8%C`y?webaAMsNY2S_%19R9j7(mJ~ALO|? zjWZ{w-6l=*GDTqX_{DJpI~or8Z{@Ttd&5Ap;7#pO=_`siJd{JB!XMK59$4zEJy?fQ zH0|O$U$xWmymos1m47RFcZQPljyl*5a*$FzV3=CjqS&^gY~kFsVU@f+9nIsh67vjc zg$e9HqqJL>6GuOL89%hZ02 z)PcyZUr#gb{WC)KD+0niiO2fC2?vwAhf_JozZmv05(B)NGbTb|xsMjvMj6ldZn(Ru z0kcR-0o&>eZKi)n7J~BFBE|#ym_FVbtY}7p18Arb_w#+7?LE-xE4W zsr5+{be}ipOVn?Gy|i{7kj%fkg)31|&sg1YuDIqn<(+^k((0N~Ea^t~5s)tCz`ygW zoC7nClHkCq(}yZr>7%x6c_Ip32ztnW#p&7TZ+q?3_@xQnl1N`~68nNckcT*I0Pl%n zJMg2KfB?fd*b)|P0WkJRICz2^P5u^sF@;D@?lPJ0;m?}Dt_s6C6L7N1~;V3uE;OC6t&s7jC>ZvdK|$9 zI~d*yvj-aZ37^&!j#tGCACuR1C1zWG`=xPAzedNbisEc$G(%SDsX88x(?orvb*k3K z{oUvO_sI!n&(B+ZIBOo#erN|rWgiOMTGR*%&i^ZSwJ&Pd|F z?hgTz;_bMA6|JUHmpz3S0R>;Aj0GT-|8n_HJ_1BMIsbYo$?;PJbbgKk8CyWqgxh2Y z_aMupdR>V|lyUn;(D(OnL^Y*k-Y?g7R9M}~V+IV7UcPp7ovdNvw@DzfDkIQAva zpjgJ)$J0|6K}_Io(LbX{K&M#6us}yV37=#-iE`6ob1x|fK3a{5U^?45o~Qx%W@$M zNu>h5Gk|A~o6(QE-X+-ff;!Xtva5VT?X5GbznS|ScH(=pJ0)ubGDW@$^0@GfTV|5i z^G11OCK|74#Jq^5TH4w)eBONluLk-foa?ifF@4^ezHc6y+=}YV%BsA1TokwmX!15T zs>7rj%J*!|A*OqyR;xHazzIAzLDA>yhJp!}CK5x(XZmaC6k2($d}(57PE;M%?eIXb z-S`x`)y!sH_`Hsky+8DMCpFg6BVqP(z=v0Wr^7v*kYXe#hJ}Rc%^v$$=*P(uhvovU ztSP_VNg+n>_X1a-SvLThxs7#usYpyjM;&3wXRo&cOlq{8a~YueN+?AWrBk$& z#T!772xBWh>GA)A_dI-FYvQ)j01*QrCilQ2F!Eas!sQ$+4WIvmLA)URRG-G2fc)u~ zHsp)~l8oN|CT%@E)>Ce~2l?}oBsc>me*dGIcQxxz!gfB~0u5mcbuA_w{SK)Ul+k>R z%h2sztr)j&=ssmRPD0$HmpY2aI`J^Zq{xkLEDxGOMsgs#7WKv!hfI4#chIGq$r&IAWUPwPb=xA< zuJZ$C;#`Q!&;2nS_W*ZX>+k~$ylMUJg^@htr67x7eK;oi_V?=d4|CqMCZa+@Wq=A> zCIMjzu$CDBl(f8|z;SY_btKk8Gzv0@`W5Ux!5Ga{{2~@E3k!F8R1~I}GnAvWPX^n4 zlA?8jnJU#;%gWewF5b#5>OsggOQQej72#R^9XX=6hJ+1`igWbhMEXfDcQ<1-(<>RF z?HH^>lDTxBSmT1D5X{Ww(w4Fs#HKQxZ>5J|c?0a;m1HxSe)f!7JfWUNeoZ>Jkv4O+ z^lu}HK(cWMh4Sxtx;1N6Mm;SGILyB`W^ax!7T@i-TUbnZHIL=Fn6!t{NU4#B8h347 zxVN9XN5cANDZXGYqj)4yesnfA1xC-4dg<3hAL=}fEpdAu;&GoM zz=S&maNQ z@Hgi#T&=3%qBE|-)n##ETHj#^EBHtsNz1gTc#+)GhKys$PuphL{N6Z6YSQUKoydp4 z_oSazc=mmfa0#QqCdgPASYRjgyo*OO0n}X?g6Kav%8KY6Q12v8>qZvMy0|mz@U@i{ z(t?m=lQ#0C4^iyOYdXr2tjFkVv4z8?3Iu=C{ZyRRp=C6lsY+ZebaOmO(0w~RY`@a{r7AHUZq92OnDirG=pyJ~AaMl! zr|w@e1B!^+l}r1x%yaCC@bC5#1m{mb5XT^;%kWGe^z^V~v5}B?BGdjIPL`!NS1c)% z05CD~gTg3s5lBLPRQ9m{%tT=ndf``3QRrG~#uqouCw z`pO=U`pPRk9ir}>ZT6fG<)e^AF=PP12vOb3Z}x~e^{W0wFX`TjgR)AY-R9Y@;w>I{ z{qh*L=z@X*Fm$3G0W{Aj+%pFFuW_Lzw+@#m{J(7uvAw6hG7OWgZP{$z+EAQFzUxG| zRN7%6EU93Cyb=Ke4m-u?lSiKSxlMKXgu$E1Q3jvHrbxGa6|+=za4uQm%a%oKx=)>e zuLA>dz$XMqvEh z`qOyrBymefh+g~+6o)96PDfl<3b*km`;yqoV9fVlvxIYhwWpC25fCIBDx#nyAX z{~OR}4o4uG1v@3h8zd|tK_7qaE(ZYsP=q56O9V51TSStc`1uh4#pkVo$M)M5i0*a9 zUy)zWu%20zG3LNFR>JGOjq;f3$K5u;q5scV)*h5 zEip)u9-*T=t@ABT3@35v7c@9exGfF*y^N?t!%59Gf==<8{rFlp`_Mt1CssZ1Qnw}1 zaM^m~a$39s%iaSsd+AeGYK-R$bEEI~1vl!mMLo{MgWbSMPbDsCQSQS#@TjiCFE!f>Zj26A+74IpI$IDm zen=ajkw%X0EK4Mv9>?TLO^%H}B{I0B;5LXab}l$qdZcJRl~A{zS7I&-o0X5B2IKWj z-*rs17ik4ZoQ4*qc>#GClk^0Dss?B<0KF{Gih@eCX)P?~du6ps#<6bl9p#Z>U>j>m zMsxwAoT#*|TLyjG0je=GUQAPhH@49S-NpSMZ&NGfG8;b{(zbhEakU%$+s2-LY6fQ_ zyk^ACYMn9B+D+i}F(%CGL=tedz|_az<=@zrR2P&hGqAd6nnrz=&B@H{XW4u# zE=vPM=m4l`!(q$&;u!!fxxey7SghM{XkW7jq+Mqnl%XBy_5%7Ksg|cO+D^ItY0)8Y z;l-@Q+_^jTZ^X7LKnL2~C#3rk%APeS#YU1JL(#=nY5DT{5@p?d0U!{VDF)*QX?k2)p4{K#bap8P*~=FfnI{r7e;1~l?!8y$g=);Ao2tn|4JhkzF8DSm>U{L z+W79o^8?Y1?Ua*^Bh=1%ga;g|AE|2RoT)|3RG^g@UtW2l={K`l$u3UN!4J4W3slc>jM@p|bs&q!9ToHQqGgzs^Yks3dJ*TlLV zn){wN97>XzcxK%NWJakfdorT_Mn}E$v1Y_XU6?rKlQO@rP7>T!D7=kdc}zR^ciJBQ z?|;{Ws3#IuM=FTQU02CI_VCli+`5GH7REn{CB-|FmcW`*-A}$-Mjt;;XZn|$(2bb8 ze+~P&78I}S6He;T;%H5w@kX)tWRBq5>+x7OW!Cf?^R?<43_m()^9mIu*3Ma{)91n; z7AoWM>h41ISrDSq^Mk|TVOM-|BLf5Q9H8n1)<2<69fk$DW^;Uphu;=Y=j!XPfD@mc zo&D3j{ch7+ZA?BhJNw*SzYr%^0eePBz|t?z+vFJ`mH8=B%VM5}Q^7sIftnXA@*EuT z@=DytZ8zf}j3p_+g&rk)kTBc_djF3>P`Sv=oH2n~B>Kx1#sC3oR!W>5F@Vu~k=o<8 z&W%0kvQ`zE_r@9ErXcgM4}$y2rO3bEfi!8j3Dk&~7$v!%K5v&Y-XlQ9sfEeeQ?i&9GOK`^U=gxqg`(VNA)O{ zl#!+>nLo*$8f@NxLF-zjYeSWegrWTe)GU%Rnm2fGp$&627J77IxpxX$KenWg6_tlo80Lh8`tEAZf4 ze!m9D%=lQ+l};YC!;$}4L9jBjxd1LuO8+_e5liRQ|AgrOW?|P4SN~$JuBNttnzaAw z>C7_c=`u_L3HJ@nSBe9}*--|Hh3)}|<}n5X7{PREUJq~~9I+=8uab3PZnaHx)}7N5 zk;OEc<}@3pC_aayFDwH5BbccF%hT@eZpYo`m{sjy`qn!RjK>G|;&S)3%^)9A654VO^jLVR{p>h#LW{(yxw>tqpX*)QTbT;s(tZk3iQb zIHWQsICSy-ii>Isq}lTb|Go9NsR?Rp`4BlgMEf__I{hE$!rOdnD!b$4QCy}GlR(V- zR`Dj#X}!b8b6}l{2nlv;y_sp^tjCq&`c+}2dzDf6uqq|WFMRA?c`M3+Ubz)MUHwPJox@Cj@!oc9W%2f{UCYx3a_TY+sS)ls*_?_ z*1R@{PgAIG?bAa&yH`CWb}zX}nG7JM%3vPNs9vf;^^X9?6bZ?A0 z-2ZS7&wIhoh46rmqr;t-n;ZI3&<;1j$o+iQhhz0fTomR|QrhP`*Xzlq6{{0csh-sG2nx)0k@s~KZmW^_tOR6f ztj`?zJkrZJDj14fYqFarUr)yjsQ#yn-Qwx%Te)uY%V3R1cBca^9Myk{ba)mg-J8U2 zJ#NEkJW83tN)DgC?qwU%UYB+lT?Un+Hhnn&yqVIHveD0ve?Zpt=M{nPWe*x)t7q#8?S>C4tg@v-ILrKUG34ZPeWV^$Yp=7kq%#SIDE!+KjRAL+k;2dYeJqg= zhnddR!G1`z;F-c0J&AYeYIMta!Z%lkQ$RR7XsV(LdgD<0fS1fYLK>gTc zA~a%Zk#b}VUPTt^+O8&!;%is!YWYFjQfJ!~<`Eq@lsMXCj$)i3A4Z=0t$nQKlsySwn9ikmEXN4 zG@P28)LNgnkZf4^EX~9=D1;{N&@9VTrzDIVsEjIFq!KMm%eNKfWxUovl)qbzgM!59 z@$)@VFOyrhhjGy>d15cjjLjv+#fy_$+EB@T(lJcVDNZ+f3%}d5G~6MLJi8i3OzXer z2|(t_=T}yk{h%Xu3g_8M1y3~;l^uu<9x(I+2MYz zYWDlIS%_E?{;UQcb4dgQ6ayC2T#|xhW|)~DigqF$`*&T$awE8i69D##goHMS=`>&w z(DemT_hah)?k-@Pd-hx61F`^p2FEid%+d3#Z7w=o&~7tLypbjjKFmRtB@=`>-(fzmYU5_h^#!OI9o`rFkK zEQpIe!G(1?GEIg>7Q+}bKOh5lT@MoQ{Yc>HjBQI_S1!cP(&jtMhq&RFR+h!N%m9{t zPfjv#i7P(1yqwI9gKZCIib9v|+eu&J+M@$7&+Q_HU2E|^vMySkj-80Wx==zXsYrE8 z$-MGbgpA}=MFLy1_50|}TEa>hRBy}Lo`EWx%WpCa@4at=k)za2g+EjKOYLi$#PsqU z32|JvI2uiH@zHO(E5}==Vmr=~Yl$L@AdwjUvioL*)uO#7RDlX`?y&*Olb||-^w$9t z>~`ht@NJd!w^CQW6HGkr46oJA8tFeKrD?@@#>F~h~M zB^5GL>-kq&dWW^FiY`b2|J@w|PlN4it!zS&Y_Nv{#Tdi3%*o$I_s5v8lWg(%!-6QB zS94fOuGb3dtkIaGB=cdhLg@pLiIYAXs-#4ASynlfc%}3byX_J2{&5g`VrGRd08j1% ztm|?3Ah@SCv{A1zy_jMMEQ`pBO^+>I?fap6NsxS52nbek{m#_HpS)k<8c(diE8Mzr z=0sV)JD!K;h*?DUNE(nfyV{oMm?Fyn3y1(ej5e3MAE9NEX)oMxV=JF!n#zF)Ccm{g zm_$LUs!pmdAlHIIsXvE>s;LOpXS`{@C}Jttg{CqN2B44-R4(Ez#H8Vg(g+8Tqz(_O zC8kKOVuNPY*u9-6>ACna@Oj#z4Q;pjsmNdf zelWDxMsTAUTM;*ky}d$yoW5zdEYu1v5NfhBmE4VYtZ@p37$63-(bOXvtzQ1Qa&e-z zzalOywBoCjQm2+k{9EK*$iE8#BV*#=`kGkqY~7f^7*{I}NSV(Y6rlSDjGUU9IzP@! ztUEybLIz5YVBPvLJ)HWk?vc@+Z6}q%IDBbkgYpS5&mFl1%wIe(7aQ32v3X{!GNF)trL9jzU!shUmhayF!NYaVtZ(3fF7>i zfoM#QiX9>!x|5EcS5mE3 zUS!ID;V>cUGSdAYKY~*iPZRznoFGtUGhl!Q*@zVM04_8pIQD%MSc49@p-i#IiT7Ob zDJ!geB^oNr;fldlqt{tTs8Z;#01Y2`_Q_+t#>7z*7!;Z3I5=5w#kQyE>_B}Gr;6t+AEPaC)5ik`zvU+{S(Q z3PX|A^4Esx9jDu_RBU7JtzXjE4Ks%WDM(88kpBDoS2W({|p-GD~Sar@*1NR^-(>A{#u z$vV(uZgK5jJ1@~k`W!{!qaz7<7k|Z2g=Jfd@4dHA&!@iJx~|`Kp2tywRkBE$Ja@AX z8#~>%Aw~m3VDeM;b8>Qz`&T2;7Qskeb!K~YX0c?G($yKBiQWpxtf#XR02s>DC4BLl zKRc5pC$!F2nJ_|o_UO1Mk6f`y)0Uj1B>5=X`%AY?X9<=P#hR$Jpti*ma&*jg@$|Y> zE>Z57Xy6>qCXQA$F8P-Crvkj3CW43T>^Bcw7v`7RG8Dj@)bjMl8CQL=N z;b@Luw2Q|qVrGe0LQE7q>5^53R0d41l14w=0pD6HN$sXRke>o3XBke$uhEk0;I>3j zn_qCQWQ|{%#I=9e8RE~_Mo}fiZ$7&-a!WF<|4Bs{|c|9zd}JDTidV1 z=)h{luz2cF1*+NqIf&FuL0!Hw{$|aBx!wMKPD*hWoZS1t+TX27qE;~fvjHrx1Ns_* z8z;R#Kg`Iq*ds^q;^lIwLUt3&cRONm$y)utDZn7P;-Q!$*w)=$Y>HYz$DEMmVS*bFX#a5+IuhhHAkbTB|i5!n)&jfzDU~Skg#ZB=_=4}rrQ_XN zFukiI++IE$GGCt95q;OFvg4hIfJPuCw3p3xspGXZD$l{*`UO}|-C>y7IiS8wF|a$D zfM4Wl>Qo$_aCNbI%K-w^HdaB-F185t;5I@{iB|Qhj(RJ08`de4+%q%NsR0W&!>4PK zdDb~cc&jVmq=`{$(Km(C`^#LW|f{vZ2MTI$t`s!L`6{ z!$jG7+vwjm1Nq;^m!Zl`T^&=I4v&2DZNlK=wjfS$+%nzn>#M5XqxQtM7Y!qLGEwDp z8=x}41opvM(nbaOrr`^ci?G%_k@c`#*kxl%y6-d)FC`xE#-WHtatUPP5Y)&b6d9HX zL9S!~&}_+VughVBOA>#i&W@fOz@I&Cg|m3a^>eDI3r0LUNxvt|hcJ^H{BU}hlZu;& zfc|c9WhE`zZWEv$sz%&TL%9RnuH{6RNo+%A@HcfGZ_m1^pC?;<|7W-p7KS9J>eX6X zSQ{o8y7>rEb_HqEU7yt89!TqxYq*zMCXfcB4LEaB@CtV-N6skOf-qW4sM_G6fGBG9 zx23DMC}iO+6_%77)+uCvQN>3bk)-ZBi{X%kgJ!1OQaMKO?|`Q2!=JVH4)v}Qu# z)j%8RFNa#V>q_aXDJyo$E`xUhw{FUvl*fuqBM(z>t~kAD*We?Q8;E5i;lDxhUyV&! z55^n|5~~@yWk82rVDzuD&1q`+B|N+D*@XC0Mf(ZUu`3c_KqTjjuJu?wHgQck71!V* zbu*VdWX)(ktzM1YKB~^>_XC`@M$UW$DkHx&eHYQ$k=@SEH>c=qlD(UeV}Q*wXs)eIcYWD$Wo2tN}-X`w(y+CZ*h-*BaKSdsEuR{Oo*3z{_fS8Yr!Z1H;vJ`>*7VY^1wzbW-ZX zhmIYa3(3m3AMZV%XHVPy_rUwZsy$izfywas~w-PoIYq|4saxBx3=nF`ikPF_L)FAxmtY710ki z>j71M&3z*mxNLUq6^+vQY|nFQY^|ydk*if3Y1qJ%u*l+Ajp4;H5S-3gYC0g4iNtC~ z7y({q)IuVZqHj5}5=d^oBB-+95Ec|$Up`)H{EZzC!HhWOD2liI^+-y^^+>Ei4_!G) z2scrn?q~=TgE5>5Ad#k!AmAV|a4VX-FREKxlNKpb+-wF>f#={NeX48@8-?Peakt)( zQ_-3w?WaL^u&-!na+oLDgal$dJU-KYw zkvLuQqS%=96Ion80?wT#8QihLxoXZR3OiL}l~-cai@pKhNtA_V_+JvoW6S4CfUQtE zcZ9vjI;}{R&Xf}yn?vL+_4;(F;y>>X`9D|r^Db9APkvWV=ec1&(69qP#P5N(QX(j$ zxQ?w9BaI<+Xtx?maH<2zAjnsRz(H?i%V%FsOgvQ$k^{4ZW{$aNb9$fagp;WfbuqI) zHZ_SBpK1V=VM(K&33j1O7_+xcjW^jT>pM8vpc4^GKAI>TKm^_5`z-=JW`vimk)2D~ zK>J3Ft|YAy1=BG&iiwzXLbR6-#097llw@R=V3*JMPxq#Sf?MVHe=1Wqm0J&?U1bB& z5w}t+8Bx%+)AW*hN>1621L<$#{diC|Vx2lwAZ^4>3~6=sQqujbk&lbl9G(W7-A`%p zAsdm$yX%vs{3Xv*@CMXf0$@_8l60mp)BNUcC)^lBa^x&bK=`oc0rh?8T<7y zDCRgT&xr^7CHet!5U*u}k&=bpq5#H{E7JBHjMG!M1Qx@y5&GRDA!*&*Zm$;lSX$lv zgZ2WhLxnt1rhRA#*|H%?c^ZfzOtbU;ifgh%%;8Qb#OfSB8IjH%?t@g`}GRG>Z8L;+J|)E z_fTP=T^|+C$G9jFhH^R_%x1W7R3(3t8Dfjrl~dVS3j@Bvs~~@j^p8F#Trsvy{(i}oA{X(NM^_E=CC zKx)NFZ$+Hu4EZE*haL(qE~}}j>5~%QsgFmyE$72|>U^5Mv2SsSeR|CSecUVhfBXqo zO!p#c3OH%OOn;Z`UHB~4rb0Kj-@r})Dz*y?3r3!)+_}FHtc8%2(ii;<)E`*xYfr+s zxy^5gOhQVwBrw7uyM82V{WrxOhL=zA#pJr1AdFQKKMY;QCwh)mied!dZ#8qnlA?$K z7>EQ!vi^^$^C7UAm?jy_@mCGO1|j7>*Q(>%(clN84NOkmR5*u|=+yBgg9~5jJlsat z-{-o6ADJ|9>#>-b zLfJ*AY;6{n;+V)SmhDpZ7%%h8sR+q9r|-7M&2iJCs@@e!r+Zh~* zcj>AW9(8P?gS({o+gB#iCp4kNI1;WT?)Qo3 zJ?{#K6cH$YeUD9l?KUX}$e>CUuTgO5_gQ1tS(nU;WwFFFm~&CME8f06U{dsQy@S*0 z>e(7ZsA%Ya_PKLZ+`fJy*_vxD7hCE;l zS?6i?>pA4k*NKpr!%k4tIyiW$PVXiRz$$NQZQwtS-T6Qdjur6pJNJoX2#vMkO|vM2 z&UfK%1+ARx8Xv?}{L}&Mz&7aieMFfc1_3o10rRshJTL@}D|6}}VpxMlF6*J^H(O_+=-Cw8xEgBQ3XXmJ=eY-C)5>35 zbhuWQuCpvlHTcWD^|0Tim||^;&A!(qfTRohnx}AKx1>@VZ^w+l zy<6MOjOR4KSQIWft&rHt2*GY4U6_>CwsgH7LxhuSHFU@Hhf3|FB%?LlvynS%zXJ>O z>apP-Sud}$cFDMea%;D=d@RU>gK-HcN^G)IY4Qwn?Xs-OPh0 zSqxN$C}YCr`#X%McM8SN#8L1-E(PFzyc%AK?2RU7jK79h{h;FqgrrK-izM`=Cr2rCp{7OQ$L!?Aru1ne7Da4*S#U(%&cUKaMsGq z5X_1xRH`i+xq5QGNWV&*B?bCV))$d_IA<7Gm7YgC)jCNvPB}&IzfN=!ASlj)^J*fx!Z-0SAf7G?G%D2H zNgSP=@^m5v=*uYc4jy)Q&3zj@y4%n1ANq({^Z9#idhIDUu}k+9#Ak8@8oo7utGoy; z-+PkPeRnpD=-z4^3T9;lCakAH3}&wMzgIKYS{7l%?x@5>G4OTDDkUPiQ^gyRu+v*v zhHWU|IQ!t6JhRiY7w#bya>&ch2rPX15}^tv4h~Xe&6t3=?sv8mwEQRbK4T`4#3s<0 z-CM^dM&YLqj7%B6lkfssdAY{gx{nm)Bmla01tY^qD6a;s`h>TVnges}yK1Y`_HvbE z6wKS`?BLd!$#C*Q%Id;yR7g$_Rt~86+806Z3j2`n&fSL&Hp$yOIaO_*`dI>fTL*8@SAqE1CUI>G!c} z3CUeH`E1%G!#>1Vjc*bItw>C$-!wV_*v6<=c?su0g7g;S_(B^7_$N|R*?z! zn?(PnrLJGqw;KF=U3>|Uuz4_qNJe(mD;d88%%&4*%(=k9{-3z$qqJ!4Sirj?13^Q= z`rzBqE1Ni;1{RHO{uM9$C;kYJh~;wmO({kiX|{lB%o_fHjsY*@$9qNCrh5q6C>if86K}9&q^5u97XFi?EU3-1m1H18&d^D?FDTS){Sf!pm z;FfHHQU)B9YOa#PbOE2f>zk_h3!FSTAjF#`eYNZ9I0MFB)PZalujuThxGdZVi|nX) zK)cgpa-jtMhp0IDJ%D4XNc|EGVBzTg&D;UFc2WN)l@?aLo9Gp7GNk)-3=q=VSRR7& z%6{?V7B~RvZH_;YbYisuhtfhA8t|Wz_y`{!z9$~~sy_gmN;h@lA5TU|G|%#sWYJri zk#uw~QI@f=p#Y1u#-`*aQnE0WpwAsk<4Wk07Jfx1DTS6+-?zSu&-b@U>YTuo2gQb8~b1ncnpHxyn$LSKeYz8gFhF6z?_soV2LAqOXj_(g>_Q zQ^$=$wRyiFfse7VcQN)^E1PJxTjHT^@S!u~J&uh?0fminIgRn}9(!KbH%BGSVt6e9 z@OyC+RrO9m9-au=jtr!NF%ASdX!qad4Ra1WM~*Z=%M35MI$NMqQ7UGIEc@(DOO@is z^h>qehg{sN?{)=Eq7g-jTDTD&M>$>Q{&`iRJjq@U{_k^PABt83tg(Me5ve|%7qUY0 z13vIvzn7CV*&_+zFRo_sh9OVdh~Sr6;hUO)D!9!4j5W&HEuG9`LEl_nNlGz5LEi8Y za7Mql#jqY>&{UO-M&-oSR+=PnbgZkL5Yz7qh$kk=E{BPt&k11k_|utCVoE&Yw6&uR z75r|t!UH0OXYmdB-N}=3yUOYEX@wpD(F`rS@ADt2Nz?qWV}rLS|GMp~|1x79f&D3c ze(u|X|BJtw`zS^=9rFplVHL84=7`TW#}h@l(p^qO=`C#BR8q;6iq0(Bu&K8JfQk+Q zOop589hIbjg6=&^M8%B7>AdLVu>4`P{Qk%+@KGt zu3(Lw&rQzzj?dcN&y8hZU8lWj=CCNqfi;7*#*^NS6tbagfj*6&sJR8Bz9ZW`69VYv z=cFnNwq8@XhOk6B+lONzqRCsg zQt9FR%_gF`o=79S(_;vXSK8=jBd}VRQdu$3*KO9YD`GjQPaWhMK!NM?n1%Y9Q)Glp%49{uQxHU$q`3V1C!p_}uc^ z^{ihsO_(H^Ovbs&hO2>!c3m(BfS<(S-i$L<5YU?D#2EhDOX3rlUTr!38-T*@L_4t+ zbB3}A1-t`Tzvm5@^7{eWLA_^l50emqmLf$BCRP}1tLbAV7 zD$3$bb64DPv>B*iq=z3Nog*a{zM{kSkEs%wxGJDtVn6g3a3E`>fYzG>ldp&dzT5!= zG)ngWHa@h%OkcTT!Pk0Cp-7K@|Bm;fH|P@xfP^+kg*1+KYz;@ts_3ji>)rcKELwUd z83#ukCPL{QcP?Cg)_(QMEotO5&Eqa2c}0c`Ki3g%J{6(KkUf=}TE#@|HMZ|xePpdDsKOO#5S-SPkM-$u|Fo4+ zVYb~Xb`U#aK8NK$yyTfYzSe6t(-PO*E;wVFVWuFnY-C#I753sE)%U${?Z_Od%InxF z6xM~(SjNKJZIll{h52WkrIs4o;toA3i31y#zkhkA_Bzhnwe-GSMe+Ek9Wv4S#K_r1 z>x8@51~S-a#M=5d4KOR;UoreU<;JdTqlf(U3WQR&y^e@8Fn>jp*z{IYRl0^aZ;EJ{ za=j!`Nz(~wmq+q3sZ&Q37rRORdSIk_!XHw`kd|#2p(a`gYb@s=k>~oVkB#0K!zYe{ zZHR^y@;p2!Z<6>I1QNxQ$cMvpiVhlFOiE&(eNmHD5Mo_pYuTs*@q68hr!TPFPj+rU zO}A;*l$O8!{mUDpiT07>c-SE<%}QbAe2pvOxo1ijoZq@}!E!giLLIkO*iXi=O3;{C zI5Anq0o#v3DHH9c7dHSn%ej%>O_7V7h>U?SfJJS|f+^3JIV=v|;|SmFDh(TKI-2yE zKtm1Ml)qNkQG~zk{e6X%JrW|UDU9DjjKlrFrJy|QHEI7fj zCCAW&Iq5297P^ZJR&etUPHRTapCXSuZ-9@U7!tDBNUp|3BfAnp!GDgcwo(k$LA>cr zgloV|F zh&ANj@*(dN{%{ zzr--+!dJ6d52?{>`S0X3)4*Y$*WWS9*^2xqz6?-JCY6ngm)9ls*;H5_-fhZymSS3$ z#%uqS!B}dgZG)|Lt}>FcKP`4te#)K|{K#r4`J;sFLZi^KQyq6Il3ofA5I{w0s(n@C zpL+Rz8Eczw|9m;+QoX!vMmRdm9e zeYlzE09f>r$NUyg{f$L35I7CYi}J+b`Mia-B2Q72XMT^)OTkl>|3H47I#xrGmoCy- zN8j@oejtEiYM(Cry`T&8D13T7n4ckf4@98v4I3gH$6CVE)nN7GvC08)TqNa%mp?Jf z7KS5k7;+O>KFXXp#!3%E3}tm%j!BKNjG`S3T}H4nTOBxKuiTUSB&L(?n~})8lO3Ks zGxEj@8M{yR@tAtEvIA5Qq^|jwcR#7Y_(O^PDCX{2#eqaSicDowoN(Ny_Z(2X+BE>D zO2st%)uP+WhtT{ay<&Wz_DYYNc)K3b+q-gPs zAvDU4a**Gz_XR>%7u|%^UkK~&r&$%q5uKcM`)pImZN9$VaL2j{SlK7aJ&3%W4TAl&qw(?xYi1Bs+RK z7p&03^b_etRNRS6pKWEL8Q^XI5T`x2XyN;5o{G_7e=bV)WZ`_oioe)R9(qK{w8Y;E z&dOF&$H}D&uVN;Hy$iUxhp1Yx*wf*I2n1b`P=k2{E6;eP)7cMx)w0@YDZA$l|BBwB zSe|~A;j`5(_VPSRzQ5`cpq-re0*l>6I8lR=NjP3_b*Es@f~>sJ?;pcAO#}*C(azX37fu|A`lxi}V_yDtm-6wYOu@%4qQ8|t+V7`n1;vmrb=+xLr{ zIb_@Ssu%Jp3O0vBq9+0wR_Ok^Q~^ntlzLb`<)WCrplpi?+3)4v#aKy6NET&0U)hE5 zg_zYKSMxA8jS{rf)gwRu4EpUX5tH4I;BoHeu8Gtc9kz#U%KjwQiM^u?InU1$;Jd7- zAT|!{t{`pLv7O`7!d0+xuUN9~*{+z0iH;4g)X3nti?oz;@Jbxb5}ih2XHr*x7(g=- zZ~kwdXV^&?A^$uE(x~09e8UAvO(8(<6-xN7y+>8r=BeVK5(jF|+!#;B! zwpZkwK{|38ch6R{-jI_<8v2+m!oQ9w7x|J|4}o`S)tL2QdBaPI7H9s`IHSqlMcSIn zR&wpJk+?x7hzXVmF8w^=q43R{=k&b$p|pXAVr^P_Y=v#+*NmzZ!u$fjf!QW+Dc?R`8(;T^lB#8J2XR5{Xz8Hio7} zn`QW!g0PWtp!+f>hqb_`VOzh#8pwEmm_?yOdOwS1SY%%O4)8F!hC%C`#j2Cko>q9p zztGL*{|(xLPjkcG(a^KAD&=QN1ToMPdfHEWav;V%ppn`%8TyHFc<|5}2r@WD*^a_(=&>G_XXSY7{bevkAQ)q!~a3^^MSs4 zq6;j?%sTR0NOZM&b&6T6NkBSZ9zwym1)RuW%-%6kZ4mvH30A7GxSRR|TYP*xha0gN z(eUxV&Sk90!Xnyb3==Ec$`*S!f2@i6(k!@IR()ps@14l_bYU@BXGQ8_nsQzC%*n(@ltH|U&@KJS(jUlK9 z>|lhm#s|~!(`QYA!WyFLvPoOYr>5xYW~x+)+;eOhreIx;Cr~tv8uQk^hy+174K}%B zD(MZ9YAD0G(we!@6l?91FRAX>*)4uB*haxTXcQS*{y^Euim;)CPx)}}`&yX#&}zQ=;b?~{>M1%|)H zGMW2(w_CKUDbh=-gKrwZPk&DRqvfkD%YdT@MiV+A=QYKmt8$y4-y}N{Z8EcZEJpZ_ zs%1KJf0((C7tFIf&Du1Q8di&?6em`^UziiV{7o|Wv|aK70Cp{@pcoyoM0Ius9&2rB z+@9F}q}!&cKqMRFK5!aV1N-t4fQ2sp!ptxWr(|TFKjst&t}=eGe)aTgeJ2!{0HGyJ zOiVB|A{o@CQIcR)77sPEH-~1PrRbCY<1l_!EQjubo?SD=D@ps;*h4cBiKU0)Fo9VXrGI{|>qdl`v+< z;>{+Y$Gt|s34DDBLlCs-D5w2zuF%s;wJ54rp@Yke>OpPz^!Y@8`jqzoJe>q+6rUO;TqhH>iw!@Ld?ixAdMd8~eM4KMAYO0=)8KKrkVU$)brlq0X zGtfJ1YU8!hSVK|n$LZpZ8)CkaUjO`vDtpra=twf?KQSxFs`@_g5cSod6%b=8H`z8aE z@-diyM*a zdE!uf$Gf|tQFq+9*)Dr{o^bq_PGTsrl&3j+i zDhIrq1$wfZ0PiTjaP?Qk?ijCIBM++ zbCDfls`bg&Yv#y5r$8F5SS=A+sEk^vU0q`EmV%GS7skPAuqP+HVf(6zZ?rqHso0-R z&n`o9FC!Ts?%8crI^$$F%2C7MkNjewc2ObJuNc+7tn5Its#(^qG6*>tu@?Yi8|>xd zDC;e_YL(`J$_f7qs@ z(HibS$0|RYI5ITPK7MXU3wsk@6UTjiO!uPtT?ZpM$yTaAw1+SZYCtl@K|B8#Aw?9L zW%;ULR7~@0Uxf$p+b5WUb+B8Cj)uiM7?s$RWyOo)*x)s#J~=&=^VO%)m?EoM1INxD;P%BZk3DIRLmISsE3Y%245fN<6c#&7g zPdz8%jB(y5k5w@2(Mmpv0}QS(i)@mE1&!{yJekDgih3W7fOy@^r7QI4y|mv-Bl|y{ zIWK%^qqozs)DevEwJZ*IO=Lu?zQXRB4_7h3Hwmo?m`M!WxB5f3uLi_b3)s)X5K zFy_XWHzATr$%~88;|Y@RX}iH9j-hU1bAkblF}Ru2HRoJFlEbU>O5rI!nsRBeoeWtE zyG}p&k}U9aB-W!>1~JlxNViFbfgMN49BIIMKAz)i(G`A1dnZ4;AQjk$4HbXciTOvi zK?UQiWml3B7bk-{Ze<3ff-m=FzDShjz>(P{=Ag#9cNdzHEz;#?poy+t49#RT5g4O} z@X3!sfCu_B>iTPRsE*)}pD2FbK?XkKw4Vywz8v{VK6@HQRig;O>3^sTv`)WCPyzpz52K!Vccvd-2Yx#Jp!K67 zH~s3b*|+=i;P;lMc%%L+-oeWY@9;0bl;rY1%2O~A{f-&`$;Uu9nZZ_!kKiRdPtfw> zw{`x!E4F%kjV1mEeGcEr?Iwwb7pA#E&aW0q~48<0!xoD~9sv`Xc zqf2VKanK#us4`FP8bGCTgLOkQ`37`CsdCni$8$EwlGjlxMX%vE=1w|Hr}yjsoABD( z2P50-iDb2Il2I6bwQU~TX?qtRvjk{_e%^^Q-d)RrtK)@aA;9Jrjb0iSX#hG;3e&k< zpK%!H5s-ZNtD>l!f|;VpiRJX_|7(}V34Q!rF!Bf3R?|E*kj?yH&zvu|Qwhc%sp+}( zD)H00VPIftBAxhu;sW27>mDa;$6lcU$nQH$4z5!}U7U;&?i5mTWW8@&m(xh#QQwnH zA#gk{3O9+3ZW2jhiEt zgUgnBM*GRufW~^79kT})G%@MT78_{{C}`V}*LG{Z*X?&ekqd*(CH-6q-+FpqThq>( zMv3wj;tmg9rLO2C5{)Q4^Cow)(i>&LIL2_(!<5GA6PYGwixt~wt{qobN9GK`2k~}o zJ$0S>;lNWJASLg14{hA~xhF)Ba>U^osis5yf)UMt{k3sTc9yNmBUZDK}K`)L>Zk>Q1W((+Pa>_?J=l3SL_Gxjt9ZMy-L@2Me zUf51p5G@LtTq)(9)zh9jY&0S?;OX%;Y?WyR+>+{yDNnY2(+C>#)~$bZ2wS_uT2gf7 zr?W@uYZF7qmKotf4VED$uN-;#83F#ho8FUe&&CBMRdnCqT%weiCW6v#;2e)9 z#Twd5MKf3u)`>0ukKXl~RNNP%o#%+7@i&`0`t!t1M;E6L2fz2Kfwb*056FL&E2Pzn zotJNw%3zN|09{`TU;cdm{IF~I(0M@jjKY?Z9KsC_3T2UQk4ZZ-m6?ugnQt7%R39!h zx-t0%HO1EU2bcW!7&S0adBudE*1p}Ib@As;VMYtwE zJ^^_z@cRM-WAMLBWMzIKp@%IK5Xk56i!t3LEe)aMn1Y$@sfrYD4Lc7RP?(2T}zALZ@DFr21#gEMy3R0m0D>T`S9kPy^OurYF z{jHW;$4pl`YJ3)R9N#4Gpa9iCh^!*fY@oKI>NM+j15@Ve6xgjl%jv_|X_wK?-7cr! zSn*e<{7W1OP92EFN#73Q7`$>K8TQ!iQJOF^^`Tac+szWl)Pm6v+HIstG};MS#dZ~S zY$RH04U!@hgmbgti7hbJ)R^8C=ruLS0Q`cjm%elQUVjC2`2*p~d3y^uBVldwO~OJ)SH0sbJA4mmEWk@=%MOVhN?x zEFx|IYl<;;VKDinxxO`pr%{WoC<#lCH$+_ieFWJusBH=x*|Kp4?gNx$5r>;?vMq?ll>m)#s>3(FKoqyR`G#KGy}ST-`h`6^9JKTp+jQQUosQQ~jJ7XEE~m1@iFHe}`+I-30xf-b0Ux52Z4nTtE?qxz|3^Ov z9*&w7;=P@5q`s~}q|1>v#d=LDv6h)m{e78uCS$1zia9Go=i);Yk)W|y0jx2Ao&K7i zx_MEy3VnaIjmiO`{Ch$km$+-a{WocFlIc%^;RH~AYcPtWxOiHPw~UV$o-pRltPlMr zzc4lU#_NBGx>2LGG)3A!MjP2|T$C{gOR05~*xS0=e zMkay0$tmPN*LyPjN0R@o;(d1*9n0O{zinGBQI~+c%hHd!4myj(xuMX=U%;G20OqMH zdK|cAa>2%1G*G$2e$;TLY+mnbUhNZu^Wnf@5_kshkZ|hJ+~~cnuwnZsmqXDFYFU4g zpU;eWQ$P~CpO#0S zD6v%2Y275?WZC{f*MI8TE)mL1 z3Ds;cxBB(>3dUCR7aGD2?5S_Qf*UV2^0`Ym;!ty+?vHA%4jG3)oX2-ttRg`T9Zx(= zerV=jDe&)|(5DOA7C#cnB{YkC@|XJJf$po6{@zdw`9QvagJ2wRSGw^`2XuXU^!M!0 ze^v}I$0tA@@OP=kFO;w7&$b}E=T+B}@F-BGL$$h~Aa0Fh=DOVW6Fo^gFy*z1Y8WYA6(Ys7oK@wa#0a1lt_9GD-OS|P zqIk;ii-5#hIvDITa}e?2jpYt_5wUydc>op%B z%|MB;Lc{Fa>vJ)*Idv2=SH19v(7%ks!ut|~KAP&IXvfCU)9A)Xi^L?x(PS9Xpgv9Y zWTSJ#W^samUUzOJv1p)C_ltiwh!Xo^+13G0I@y%e0wRh%CKN$?P~UW3i-+eFb^*uL zV>02*(Qae$v~gXGp4ob0m0QWSypY+f;!z%g9iHm0I~^6>b5iDw$8)|`al2Yrr8@h4 zY&_xMU7HzEnHC5941apHXwnr-W*E1l>b!?b8m#DD7PDqI%#Hb25qMLzcXl#_9;zT{ z#wAHU*MfI~-VeG)ZXhD9PH~z+RbsPOy8wEl36zzUg;%an%WH<%x1db6P>qhMpF)eR zfl6DVY>>|9@RhfA<6`kkp#mOZ(^xn;NgZlcoE2b5bN^`+&9x zI8HLc`*?KtbSIMHtS~BndKLJ9$`=2L={HrqmSwNOL{1DIWzvFvN#YtH;mHkT1p!u& zSSR?0IQX6kYSfLgIoQ0$u>5J1Ls82%d9qkKTK^0}OTfBHaQ_ zCH6SX=MHb738zHJn$9}j3^~)NPmL4BBvZ=Y@OytyZAd7d@*yx~txCIN4;E726iNmfsh)Zn2DJkJr1obmQCl-|7p+$SRb{ zRB?RFtjbjS85l~UE9z{jzT%xmm_)LJ48FQR^pca(bt%+xs~q62F^na$kC!*S6s{kl zxdkr6-m^N2(3TBfHVKtqR&V;SNIJ$uA_~}j4u3hcLC~}G}5t4ze-{*dt*2w88i0| zV)nQ_5M%(WV;Tk|2f`Yc52RhwHm8gl(Q{QC8**$!ADxHqJv|0d-v18zaF?{6o$ zA8C70e~FTzh6193;Fz8(SngfbDVi)Bkx&0eV1AfL)rBH1bhml6AVKoq zt-BX{I+irm7d0wT#loE4K(IXO5Nd)G+~X@ta=6kmu&z9FiFi_(d0|m$h!lvF^vMr% zHV48BEBBtwDwwlX-ifK-@8=7{f==&ZJG}!f9c^uGYZhl`n`P*~f@4TP;ef-bla7r? zJ)hlk!R0?qXd>(XD3a@LZ%u_M-72(#H|=pXXz$S=P=5qDnX{#1k%eRTDBO2V>vgVt zLjg_UN`AkZ{4qMCJ05Fo9=7_9#^xvxPqiD#bW@}BJ9W$FBycxGddLuwI{R4HRE338 zMd9Rv_o;RFK4{38^-CP0^l+}(T3=t^pFd=G7i#W!GM2bMbmmi=KHIQHLJiPfD;09i z!C*1nA#2z2vsOUxUiI-PLcY~0p++P>D(J$aV6E|#ZL^_AR_t5&vK1113_UzNc(Y?A zDF(luUtanFb-!$dqm`Zy&NZw?p;a*}_PU({R6Byx8e$?M&nu~dxtkl-;F6Ox5R%oX zK;$N@+k*e=#ky#;mCErDh@P4=4`X2<2*f7&6Ij9?zY#{(8IH+J7C zUteES7TUF?ZtazdzKh&|!3Ot%1!|k}rY~w!BDB zLecn_ON1rGS%(Ety*D!9#mBkW14s-F8$`lhTdo03a|f%S+$nQNC|R%Im!tKj#49}Y zOZ=3b2)qnIMm+aba7Sd(<6C}ItBmh8D}+ce*$RhK4?geuEwJD<8)wExTRpT)977^{cOGu;eJ+_9yekjG9JzP_-VDpbpu1AjmG%ssr}?XBI@g2-s&4|FRe+1(vW1 zJsr-|(q?QRYc{*`SOXU!fJ@}!TaTIf!pZ&4j&Sye^taHlPdfY7MlMTP(7UE@C-vq` z{W(B=7@Kx<(umFDz{gy=)ma^gq%;!UH!~We7Rmi)z@-u9JI%g?y5pyeb_DJMR(M~(n3~pIUl0PZg-<<19T*<7!9Q-uAZSrb4laH9T!_sTW;vEspd^9=ll*pm0D=Pxn@ecPM%?6XESr?k%) zCQz7Y4Tmz=U1v2)3OG47?F+o&pP@Kb#6FO#!60J_#8_24s`Y#M_KzP*A4@CmjVBG5 z7T&T%p5KiTz?QOWI&XioD`(Ehjg~tf>4LDU7cc3{0FF#J8g*75k&-sVz68Ck*_%9E z)Mx!6$7?_?H+J{{S>uBxraeCcc4f6a&b*_|JGkEWmyFpy6CN<40bObWSW@TV!(#db zf2SJUqie#k)j zJ04Kg;N#(uW^T2Ntl*OwcaIWQxW_M;vt+>&Pv~}4_%_0G(EnoKtXpyWp%}pkD<&d6 zW?iz=FLp-BFq4^miSUgsu9cn}nwTVa2Ra=ELMw82)|D5yDdV9!pA7sSmeLG?(PuW9fG^NyL<2uoZueZgIjP8?gZCBaJS&j!QJ)F``!OkQFUf!@71fH zUY)({B_w0!qKG;lo5SJq1mPiJP9otvN$7=R336GbLAOiAemoLfcii?@-^*YWfg!?^ zj+YN<|02EZBK`}^jt%5cvpir91{@lBL{To=yI*=hq`+rtG0gIKX#1#F$w-2f?dVz@ zK%($6PLYjlPY#GCP~{6@V2@j#Bg^9;@fFLtU=KwbEfC{id8NV^vNzqS&?sr)zQ!i> zhl@?Rh=+|oEToDF$ZDy}?x!w088uVfQQC6a5G!D=bAF$6t!M37ahGKp8jgt zmQ-8*Kj_oG30v!ZX3oyeX4Yyy?q1$$Bl@1z>epe z;bngyCnA)w>hd;`I6O(b(e1?2TV;_e6Xa+hu`v=>hOKCm*ZFqGpnFV~-)BsLmAV|P ztF$ckM~C!>4{C-tXh>&Q2>tM@4UVay1b2puqa|uoGwT3o+TpkA0Od|4WME1apZpms6-`Nr(34i&5wt?o5#S9 z&5s_`&95&UUXm3ZeQM>{6vV+pbf6AyI0T9 z;GkhDQQ)A*&6{Fxv-kjMSGkZi>+lPF;z7z4212?kq|g60e&c}$WsJbQmt}8;NwP%Z zC9iQlmI~@DrknviGHOby}zl7_vOrG7-&_?;TCq% zwtrVZWXy$ND93F0>1W|>)`Vyk#043MsWF}NQo1!eca+kYen}Eedn&Rb3D>?Aq$$A( zb;U+Ysu`0tKD)lYUPxcZS+Rss1!<>?xZ~mM6>FG*F8dOTNT!d=e2Bvl#XD#2PQeX2 zK2YYMRi?#u&Ik<+-FA+o31#&^G2E0O-kJlcQczp!-&dNxA$3CG`vEbEWC4%n>i;G8 zx1rlnv#$Wr^;Dq^)C74dAWotPV<+!pCmvXXE4GF}#io(`#!+g@X> zzj)-HbT;IRPStA=@>#{^9`ek{CA*=AC6U3sO?$1RLT(Z^*HT^sO8A9sxK%<9*t}oXFQKmu>Y=F zlYV$i=qMl`!S4j(e&$>;#AHmpnxVqU`WmjrG=-#9f9ft!-mbs`UGAxTYr~qBK?iVRPRJc&Uw>&#LvvY)~ zQH}@RO)~#m^_EpDkL^Nw>&9h^`d&}qcerF8ymKbwX!LzJS7*K3pmM?Pz@b6p^AtKc ztgd?N7<0}lZ-!WdRPdJFw_v+qc+^K3omh1n<{KWUIbcfUb0~bBv5(WFzWU>n zU+@@5)U*QONj9%j!0Rp`+)e%vhg3=1;kSSzH@5c<^Y3U$hx%qVkEix}mXT;?i&yho8X7-+X+ z<0_n=mLDy6w-S;>@~Hy7#;QWg4HPA=vLC$fO4E8=wUHy};p8m#fwbghMD5Mb$Y6nw zB&$J~f6mtrlR7oXROxBtuJ7j55?9TAs8b`YWBzg!!_-;xIx>pTt&gL`R`w-4!`Fw# zl3$=#YU8!rVc|1p@$(Ft5-oOgE4jxS@73Ptk-plA>woEAjJ;?am&WZ#v%HFkLilrjn8KvOow6R7}Di^Lv%c?)n-nAzJfV(HZ zcVHxlc?`hh`ph3TsE$DQY5L;TLZ50|wdVL8mYPbtgXaw(&LQ~K^AZzxpcT)L=0G(S zIUB$?wz2Um6R>;<@KGWpe;n_Ia0MOFM*7r_-Y|UIsV@Eo)IW63Uii_U`?e#5&;p{T zHG1_!R%F-N%g82*Tgz#VRnH(=@LqYxIGQd-(_qfJpB;Thu3V8ORP#=9INM!rgcLsT z!Xmua!ybQ=pW&Q%I9k621a_I6oyVq)Em*WMOFdk4Wj^R1h`c|pI-#LYk(@a(OAq79 z5IpA!g7fMAAeAWAr#6aipFj_lbJ8(nvqc#7nq!o4}- zPcM52q(wmW0&Cg)8(mFAO?jZCzUIvdhLI-~^)MOEikY~l&BPfY+Xo`te2jmI-o^9S zohg!i#qEaY6Y*1Q#9uaGaf8bXu$j!stX}*&y4VKu4b1=?=fuFM5{>3oO%F8KuR!A7jfE!|60ukpFp)Bq?R6MRKz zTy$OdIEu0T>;19xOIi!m24J6SV`DP-$(e5ep{RV@nJ;hZh{;x*ajT<jA z;i>rXp8}eg91oB3G{j}-e;1!_M%ED}NyVQT>!M$@#l_McqqZtbd2oRyR zOREFR8;H8#&e4wpKdy#0e<@Aw^cX5I7*j>Z<3KVA)WdY^iSe(A8`Fn;5%2e;NWgAz z$0ogcVa1E7lYar`9Q^WwQgK9#oiB%Ph>7&t^VDUtHP#Uhearc9Sny27zdp*WAoxlg zUeGwxRKw3tm$WFQ@8l9!f8Fj9_$gFAsWqdTj{pfu-;R;m$`F;NSLmTCN1)m0r)KVa z=uL_lglfw$o^JLj8F4ytZE2hLpy}@FF*3)*;#pa71G~bCU^q zso}t4`OKD&j4z&WyM|wP1m)*jB7@`26B<%K&dvlvrb(o@}?oeeuKeQ}7d1p+kbpKm=Z9{j|8DFMb>=NVcJc)@X(t*fjOAeEx*+LE(zcNd8@OPl^bIpQZ9jLvnrMZU#v$msvq_f zj$nCcuLlT`H`v8avQ=%R%pE+MTnKLS52`&Dh0Q?cAYVV1f4|Uhi@~0`_Oxcmz6G;UU{K1`y$pf-R$= zej$7Y@nq-iI;Gn9#O|n)s@YO9QH~3oxh_}P%Rpgj((Pww4eTRBX{MwLeiI6igj+uYSea3=M_8 z^RMc}*Z*+wb9TnSRsPYN|KwiV(6h)OXWdAcuz=ni&tN;@)=AzNdeh11IxXT8;O@Q` zB7<#SE3H0m&54HdxbDoS1=1r)){@3iZz6f#GMGr$m`_zeaL|9S-jF*uS1AfeO71H^ zMiAu(=ks{5ChKGRI^avc_ra3^IXz@=hq3_cLKG+SRBlkSbu)2#QrmNYEc5-wiFrYL zeG!$Y$OLC&oa!%H9 z4nqnLHw7#*r{Lt*SFot6ua)kuUG}u?Jb1T#J>L6fa@?VLGIV8=wlNGgu;a+RPehfL z^ZVsSSA^Yec493(wFO>ye0Ss?%cvJs33Dqvo%Vj?ZBJ5wu*YD0jm@rl+ZtfU5~ERs z*qa5paw6{({@Rx6_dagSaZ~f^3V2)j*(JXZBf{!~0guGN^POmq$0W-P#B>}e7t<`=$x6vO7n#9^@Y6)wRygvv>VbO(R zadL8ka-tAC+}RU)d{|U)@Y1*N!o+A1yH}4}TfM#?0PO}|0|qnwr=J6#k3fFy=WN;e z$L(J){o6{eciP`7(VT$PebGin)+-8Hs<&_>IwJ1+4XGN*0zY`g%%?P`cjl2QUM|Hz%EU18o_G5FEj zqyMqur?3Evv2$;UMYbl+90#&_-|iIwk=h!vp99FTW7$GI!wNW{fQ7>X%RaeNVBpGD zjgkn1S**;jQCIiP9r*OEe&18nkYk2r{J~;GqPNZ&wL$9hbawk+@ugu6|Cu5uqGi*p zV~;mpY1GZg&SA@F8G~2bi@dkwh~5)t8P4Cp~$C#)#gW{_4VCL^2M#YEzE zG$9gl9%FLHb}1|oSTQ002Mo&EpBz_={R>J4vb-0H`z=Qqgt|;tI8 zmrJsK8N$hc8$QjyeCg0p>|qn8p!P(9`E-(q2DP20r4zv3Ag7k7xx8cXdbQxm`p=br z@ByWYM-{#@+&}!12tt6v;qfcHez3sqeX=bnV=uxGUvD+mhpvv(T&}%PX)akr->GfF zaGVMVykE%Sv?dPDghJ^Bm6}A^)MKZ;)nKG_jn#{Gv z)!LH2Pq89&fQ_a4kynYHw#h7sXb$>j4>g)rlUwLraLo_ah8g4g9IZAo3=?UX(ee+J zRFA)zVggwQgC~tvh29!!Q$Ns*s8UGB$|#pnOry-;Bko`1j%$g9r}XI9uUbt=nUt zIGzZ^Ue(e|0h(MIMBK)MIfAMMd!vB~ncIQleb6EpDvV&GsHkYce&OPQOf;agr3GG_ zs8N#~2$xN=u&TszI3Ey*`#_!%lu&gFfZ1 zWv#Y4f`Uo8&fqri4Y0paa6`)G%<%JOD*34~g~$h=2>U%wM{H4Nh#&@;*?AO(R5v~8 zoR@Z2y)13V#h!XR{7lA^4)&)T6IlBNO*zm}haQi_EYc*^hN(q z+U9In8U5se`Sg_c1u6}Gq3UT)=>Gb+S?G12LOdH(U180XZJK!>aL%z4kmIx_YDIbf zDzf|$_8PwN;@Gll>oD>c{?oV(X1NP7eDRf@@G$*{ zlKkP?SBC39>Ucv8=KHO*6O#kz`1O4ft^(5QG555lzoF^PJ*WMiv@T_TqJVAzcLXTK zQ3||&se&}KR@e0K0Sw#>*(_uwr896FI8QPGHjso!XCbcd&%5RGJllMHF_3 zN(6jX5PjW7?|MMsoqa_5OK4ao__v^r!)e~LjrfSif95+SW?0}Aw@a*jg%{FEY1g0m zkWfJ}m_;+BHGT1;E8e~-L*7q?_Q`J}mPvnxQnIwzh!iSAu8)F8!okwQ@==AeI`M4U z8y2dmL&rxjVi@14zQ1UBDhhhZBE7XIw#TzT3v%GaxuS`0Ed1>#u@}&_k`u#tGR8R4 zcyz~#j7pvS*^BqeCBdf_Ol0njmWkopcH!P2#FiuZP37Ump#bo7i%j)xChKIjgMv=3O+OAC$m@tX6?@DXteb zP;#%N?2-7pwlgfs>d7|QQjj)=Mq)KdYBWM->DH%fer>zNVD0LvUSNemE_cGZosG*` znh4L`lJbd%QV|cC0lDqIxp_2VCulnFW5JNISw-jmf+S&R_sWZlXvPYGRSfvqf%A(& zylsO4>If3WeLShcY5fujJiCB@%~BWQv?8+%7%FfKXtu2mHa4K86Jh^nE~cfB@-?`c zTrDe!LqcQCr4O$1<#4IjCZJ}wT0U8-<%Xwks?blH0J~MFZh44(&R3DG!5E718IL&T zsnDsfK-I7cohGxPxNqT8K68@dzg>i2Nsk$B0ntYf!w`Q1@=FbH22}%}=L9x`(rV<) zsdL?EoVRGaLJv1XLcR&)Le1T{eO*vWpZ_+|;J^p8Uq~mdIsetN>jH7FZXna|Ttrl% zK*rY6lTR*{Xw`$<&GF3|Ivl853_+26x^`_w69OzXqsNcKW#|$&{i`=KVad|lp_{x9 zZ;z0S(rp^Y8!EYcX#_fY$}zdKHvpW&KjvqNSbtjOga&f)2f5Ll86xG&OJl7hY0z4k z-i=DU&M|M>sTVWT6MdH+f95lhF~MJ^wEd^GHe%{8xBjPmu-hN7`0Eaz8&*gs&mU`% z;AmYjyIu)HR6Rb?8FI}}wsG|&))-akcy!Kml6ch)C6ECh7|ePIo!I91{5zhtFXpjX zE5>%R^+wG1r^6ls!oRwQ>9eY0GJByY;bBn)ddzsYPz^C^0^zIjGq11VYF{B+Ia4MT zYh*4X0rv&yKL8DY^+7_vRFN;l!((cP5a#K}5=e@buz&Gk4YoJrY}HE>?fseQN8Gbx zA9L})hPt8Uo_#m}`}txjgM0O=5T095`^@m4zxh|4fnDi@uhv~A3BSh_2&+oI79u%C zAiPQSrflkhaew>e-?)P(8)ALg9gBzDoX3UTgvM@~-3Z(3jB3V>(yYez^?j7_v4XH7 z-4@GX^KXBS;3%l4uu>NCVrhnIib2^)n1oB6NR}7>&<*uba}Zuzr?>s|gW)E-w5$K2TCrm6WI0$uXs*gSKA1A*$1|0k>g-VJ($*c7#%!^C_D`usa0&xDLJ8D$h2)U_UQnghx5{wm&iK`5YkgY|On|fMWmX6%f(9l}1jWeUwCRRt^y&3*Xz)A(5;Qa-* zAolZkM7-y2KIJO>zQzx{!hbeNJ)5KIuefg56?(mQUYeXl;|Uj)Z3cgdzfli3#; zun)S5;Yfmvntv8#pK3_4uYBw7R-AWYJ#2ATy2NO=5feQQ_5Jz_OtIhdry!~x??TiFe6{6DxO(mxsAU& z8|x8DA4yzB$z+O&wzni^!HMh%#Z7;DFc46ZL`G(_Y>E=F6$o#A17ZeMxQbRJNtrfV zqsK3uYgf=)S5a^JU^n(B#;?)Pl86tnD#~3^aQdvx*CpdxdwHP<*Dww9*fEUGX6Dd6#wqGU_-0 zY$XrAfos&@s1rB8>e5BK#!qM&8%k4TZ=nZxuto`!SDU29?ZaqbXi{uBrT-DE;6WCle z@-Uldj2r`5j~*Egd9E|NrzoGF8@MFNiC|Lx)43sOCy-bgc-sy;3iZh9lS=Wy*H)NE z#AD)rJk+|2&@!Sf*~1bwQwVc5`rj`$gdLFnAu&a?pR;%oo>vLD9O7hR)|9)_|#G=?61H0B@N&k%P|9nbF zAEQ~L@1hU*mvSx6XiG(}`NKW0%3}v+`^a;qTIIYyVl9%>cEH|sTKSF^AZ&pP0HQ`nUcA|d-BN)fH*@h)h8xGLmzeHIT%$f^D<*ca8UCI9W&+}^ z-OJJ-J{tRcXjIpmuEO}K6(cB;@Vv`rj~@SYaxxyBM`^kZjj=^)BMUj`sXx2XjkW!d za}3TLnW1>n_%zj-&=9Ui>&ESgVTvSB`J~*mG0|1G+d*W9Ir=vv&Y)Xgu<~X|7EUwb zA+~Q9sl%>L4eyjoW5amwsz;0+!RO}6le?qI$bEJK6u^@{@8AFy5s z%YK}h$&Oz|GRfg~$J|nU|3m6ZDDy_)*>C*}6zcfW1(|`4dGjw!$Ikn@b55Aw7J1hf zSU@@utsm?jx&rlyPz@jXr7n6U=CKEt9W=Mu3Pd-P7>H*H z!g20#_otzRr=RqB!@-lEqiLR}N10C2RE-MG@J7* zeWPtZQZb+)BVVug6+0Ok#0`fVga8o0HncCuI~Zq&xAzTaJTspd_WMjQPgw^J@j%yu zH7F|pY}A¨=pDcO&+PR{+_YLZ%3Fhqx@NFIDtuMAhIn@a0FXP_D{^3a*{6ub_39 z8>pnUEs>DI>}SBLZ$j~Vd(oGh$p#dcXjxg=$+l&OgPc$Y^dcS59JiaaOBT6Rv%%d< zs0wJ;2u?h;u^xdNbl3J+jz(gzlT~G_fseqQ-Wjy>1KG#)_dy8c0IV?wSL@+FfC$o7 zhh_5VxNgE}Ur#g3?>srJqe6n+$1Nj3HK=xe_aSJoxE*cI3(>;*rinMIp!K^}In((a zE>yDkU9}}t?zwsI55w)!l4TCc)FlxSBp;6Z``Y@t6{?x`bE_-XY8m=Ws*ui<1`5;z z71K+uq-p|qqbHEerhyp%o@VNI>UBB;fL8548ZFP6UeVaP(pNaJcqbc-!>JEYXh`I9 zu831QTnM8$T4K&rfD?T#`m%zA&Ag=e`p(p%v7-}Pf;8zFzhEK$od^_f8RY#P13b*t zCYfQ{1pY(>v8Y>j4l zgo#_jDT{syB#a$iUOl-Zs7edlG60sqVW1_^{_}OZ6>(){iteO$eKlxXWypHy6Q=5l z6;{Ppyp>6^P3mR{yz9&T6SkM&$Ivf}O7UoYKAk!+TJ>04+X5{$oUNyM#np^5oEN@} zv+2ZI)0(&%eJ(Jw7E>yPiN%P~A&dR1F$MJ)KvI*1Iy*BA3y=re6dE{SVrdO;0$KFe zC$w6mWiW(%6s*SV26;V*`&atv1>SbaE2xXA#6G)Ad4M+sq)$sqlmVadcUH7oxuNPY z(m>$?60=bk#+p+hy{C19;UtIX`sathIVJ zS65ekf%x=27_H-aP0Kk3q|GBsYtWXRNZ!TyxsNGddS+YU<@$N~41|hQs+_b2k~SgXfk0ROrmR z2pLh_wz-_QCSaUF5Y<(p_dfolzSm`pT&-nQx`s4PIA3EVeFU*Ue@_j-AAVs=udbHZ z_Tpl8O*pP|+rtKZqa&Mlt*L6c+?cZF)arp!z3Ssbo6hq=-GEw$@+>pj9%b$8Pedj& z&~8=3r)bVWlS8u7FiUaNeOLN02)RhZ@r!$|B3|@m3lO*di2=79;H8g;#o$`oKn`8k z%=Otw(J8mz^Whj+P9I}UT!yLx6xF^lPjjwb4jw$S=#Z?u7VYH8!8 zP;7z!=Dn#sXXG?4sDt#fKxdKGE9u7_U8RI*PCH}SO`F_xQSut>1uV0k(ARoB`bAZm z)dXV&|(H#JdRHdNSwzyM5c-m;R8W7o#g z+-(eTg6V3;6&eEgrlG*uLt5PDKDZr_r7)AJ{^MPV+Qz6cOJ|v?` zsdOm_ZzAM(5F_Nqq=7mnH=CF4y^1;f^n0Vtl$VH4O~cWFjdYC8RFC(~U#QBEa~S-< z3*Sx7#-&<-0qQCh zpA6FgBYhi+s`oLLug8mNorHM4+3MpHND$9bn)SecFty_%(*5OB z7jWqY{M#lIuK|tQ9gRFFdIvGzay4;5n;)T62~vLxuJs3+U%w|MtG3H(t?=S($zY^? zH|zFgEkT@jBYRkz^u~<6D9#wYaSZ0O(7*h0H&RdEk4aDCZp8%%9d2{m@A#cE||1w zt|6(`96%DCW}5RAB}O}f8is`yRat>_$~yk# z+NGL+A+yg-0ADKcW!-h5akl6$R<$3DQ58y*k`iPRPZ-MlXj$ZoLLx>iIHvG&qo0>0 zx^PeEOrp0X`4GyW#eaI$lwJ_+3-;?Lch{W&eJsMq*NZgFVRP_VzcUeA`|E(-EN9Nsv#B>G`iQv7!X^qNC`Ii>kTZ!x5=p0dM{HR7Tnkqv9`k&j=J2Y1%tOAN@ z&c{bMaZe?@f&r0-F~ytpPnfBjxfNwXS}>BfMk^nYxB8tLcWU^7GiN29ryi^d)evy=NXnp2X*nK7CSlEV%1+qozd#5#05bE9me?UxrQ3hi1 zP__(4a-Rw@&yN?CMslgu+Dw34 zCXZ_n$qn=vB94<8+t*-GInva!kS|xEUq~&Jce;}ldm()~tV|T+Ks@-HIoz^ZN(SJX+#yOp~;$0cg8JD$-m+4}B7X0RRR{+j6GB|Lb)v z^_^F0t{kv17mwmYhK4SZ*+h%+u_Yej3>?BD(H4$Twtne@!f0dHHW~RshbE+T#mF;y zv-Z+>uUom`+E)CWCq#0nw(v2!X1F4Ol=oK_eC=0FNKxInj`d)uw#9GbZ9)!_zjT5c z@n_INBvT1uCTJW3Da2WfRwb$Z0n{z;KC33zr;nq&?rz~5g|AdAKWP1qZyzA=8bqFa z(uKG8!>Hn~>zja!(M){F{Oif@nS~CbI7Cs~6rIhA`5Q1Ts$`?Pa7hD|hWTYimHgWs zZh}nwDYIT>U956u6&l>gCEvoEA@2ME;o#zB&5UR4uS%8<*Zb9QStB-X-pXA0eaK|o z(Iof67FX?oi7@+8IgUDwzs|5LPj`|$}P}uL;3x==@mepu*;hFZgU4Bolo}RqN$CbLZj6=UmvWu7n4NWT-GI`G|>TiGX_tR~xUR@<+ z0s^fhMkv7l?U@_8qkL+t!J%G{a&L+MQ-UXL@`$^@k-LhvCxEH-So}G^Yd`T2$;=@p zUPInM1}z2}bZO8R4PlOYQYK&CBaj|NJ6pgHmu%5np)35B9(GNWr(lEV#kF?U zkf&z`FEL~rFyl>xVsAT1KgqELKbq}#VYcPRsgR`{&x~X)5al-xhk5bvlo1;$%ha4E z>riV4ALW&%ts=1ASl$Yl_$6w|)-0L952R+4kaL?#>9B27@(1RxNIE4kAPhWr>--u? zsV%IJ6QLOob>Ihf3U%UhOS;4g=bkl!pH1*fh8xT|w7t3=-%pe@i{ex=+T#p|f{*V0 zMNr~c_1yZdd;Cvjfr(EaA-w+~TqQfsZun}c6hJt;Nkg~?dtdOz7Kqbrk2oJilztVQ z_2mbfp#-z{ev37PeGQ|Glq4kICy!odIi*=^X>vJBO@-d&DA&5^GOb-Y@#r=I1L8Ox zs=QfLdRTQ-DN;laqBY%9fMlJ{V1={-+K}%|vfIr>DaYJG#Gv}x@u8`ZPUqH^%kTZw zyLRa&U_!pqeoTn1VLY>qSu%I4#?7WA-fx)CQX7tm6lSELm@JOnbbaxJ#y$)}PB$l& z39^VAkF|MAhvMALg>kQm6VP@DTLfU0t`NtNhQvSW`kP0ZWBWu^D1M*lvGy=RpkRL} zSRKV>9fPi+20Kuliup|Tm2|xJLMa0(@pUBv{gJHEC=b0%tfFj{3IlYyrR|NE6OT(> zZd0mCwQkx{9F@`#}vdsF!mC|h+{F}|xu z^V}V>Ie+x^1&@@PEXPYg+WyS)&iwtiN8}Ov#Izae4{3-Id?#&sq4A1HJ$K9BVFo$h zpQJYhT;`P&f^5153vrpO`RxgP8q;%xAv zi*^CfQIiU5>vrK98~Dr~79%iPJ^ar$JXz<*f-WH1lC01msns6()qb1QVu}mqO~Ho- z1Czp;s!Cio1Dnyt?)6f08h!rmv?0H0fL0>|5kL8ro}`dAH$v|a4#I6xBS*Sio8~@# zn_Xt`_g{596Z{v{8~CPTnWG*;^O}PgeSG85)(%wsuYwfr!#Z-rB{#6bYzT= zTxcQTPEoAXy~3nV@t;Dy{V|i?+^+bxiixpul4DT4u;ytol$@&?u1e!As`@X+EK#3;? zVFr&HVmDRPB3B=eeE!ouLi@&DeE>5+o%ho9loXpgU;m;D&yz_a`fIZBBLC9!(;95W zZ3_E1loHHDW(-Mgo=EXGe$5rglj(F)ezMO@hZH0`z%6^3bgq*g#0Ex4_%1tX4tqlT zD7J*0Bn;-X_p*ED_$^7Si32N%4=lHJZTpct;@Y;iQ?iPO$4GPfq)J3!}q-8}AJGpS0MeSZ4E0z9rPNl3{A^~+&^i_XG?Va;6Q02kn=knb z2c=MX*as`%yNZM*7TMMR60Q)#w}55PCq2J=&$mw!7K2FGFPI^n5!Ixu5z2ECRTTbWU_VH{u##9n!FD)H5d22EqSWhPEZBAP9^W40;> zh6TT`A5$MU$)k(Mhk-Af8=mJ}L{c+17N7agfL6Db*&p4Y@5HZ{Rk;8?FnXUSB0T1a zrZ+w_ck_w|L`uBnzp|!Y#?N`M6R_(k4&kY4{X)M`cvaXiiF%pitT`R1O{fd%&-|0p z@~9TMlrCvJH*^$?EzCt6Jj+j2d8c&?yDP0PKaR((SI$bij$Opd{ofSG6~X%hUw7a~ z0QIZ01Ano7^K{cM22#0wril+pZ7BG;s6jZO*(Z8XJDLkDy@9SQ+}F|nvbeD!K@@DBYK47q{#Yb_ky?Bu!BLov>^N3haRBzWa8n@A9ygqF#6_oHje~h zsGLPUK57tM$md4#dD*?dx8wfT{I`0{6Qu=2kF<_(5dF2>M~KG1v%$9I+{z&{PIG2oQ@`U z&@exIPd;BV?X(i(r`62Okg0|_s97LplmI0>X3(O|=+1{U|A&f2!yw*?$HtL+J;oNc z1vfo^Sa>Rjn@?A2fy}K2-hoiP7N$h7KLWy}SjiW&uj^Ft(V;jyQidAtz6Ll|XtyVgesQu97LH)zN*wrY?~=DZ z@utCIjvx`~hv{404UH74SWUCH-}LLMOq;wk-MI=!sH$!DvbD9!Z>-r|zSy~e|50$i zv$VjFqs7zA=qY4p7Z*VHm91@+Rea5-`t)1EF3>-{@~WC`bQEo;D9l>|HWy5JM#DT-+H&s4XcJ}&Z% z3h`o~DcI*BV|M$m^we}g==)GB#D6`*`d@i3RC5Cba_8hAUTMss{_M2qF*hXkSMsr7 zo~4g1*f&eP(+3^&` zm`_7u1-_T82i`2S?r(lC7mOWp2-tpP1Q(8#5eW_41%Fs$?rsNYt|*KyuI;hXN4@QC zw}bIlTxtk9B=TSL1?-UDV+KPgAsMv2xh^faq4Y9^kF$3KXB#XV@QYh>TC_ywW6p4@ zul|_RN;UFAh0VCfvDafuL~=5|yXH||oZb2O`ug@fO*j=|&XKU>vX@I?b{V)=7{NA5@M-rtF>)m^sP5_rM5vlkUt!V*tOC_$maP+|wkJ1W>bR*>D5 z)K!OMzY&Or=+ipXUZC{yj?o`kq#9&7I`O}7CtW(X$xQmfWOHj0_VN-T@)R*sbHsOJ zqEV9gk(A_j#&h`^!Z`CY<;Nd=?})T$A(G3IueQyptr8}d=SzfCdxsLjNDG$RxGBVJ zWc>Dd>W~{JarVSJ&RSqcv&Ofd%O5#4nXSIZh5~yXSHO$P{k+3DrYHB^ujs#*Iz>Y{ zHR@ObvZkT&$}84=%RQmP=$!p@(GKm)o>&mhuisU|!50R(DiZ$0;=@H%ll)@6LJefCRFX&$&mk*sB`*wB>VVskMU|Lkozkq2N*p<{;I&~Xbfx5-WZ)(@W@-X zdiJPxePQXk({=Y^e6vx7@SS2+idjzfm;BV@*9vd*pE+)Zm7Q=DG;aZ94*H)|4e6sp zfe6a`E)aahf0S=0BqosI;YUuhUOmqiMC;Bp1aWwEaPry5M<6L>=z1ypes|Lv5V(Re z?P^c>Qc6HSsD=rJT;r$r1v(nqq_%JI$@FM!w?;&P&2Y>dCA3|t?=&#@~l} z+$*cQo_EUzC3p2hgG&n~h~nu_sdW%Xx3#UJAyzm-LGLFG!(a1?zB9_3Hqy(UN?mxd z#&lq4*RC|m8vUirH;o$-@lyGY5k?BCN_8-$ z`?PSAX#7dbKz)ohn)JOG-o%~t==h7EU2m#&hV9|F#{}g%=(yW>zmampIT^ld)o{F- z?W{wk8p4@3vi+MaxqBWo7D=3p$R0%bn2evg1~NoEK#K#A2mXR;R6KWi2@<0Zp%C+( z(7#)Efs&9!G;}-&_-BX|)mn((z+{p|{UrrX29c+>yoO;>vj=WpnT42qUWsL&eUkPd zq^~>$emEtk;N0k8_*qG-9-fAPMaM)5#zAVgt)f#ld*k8>G1(dlLE+wJNbNXEBf`nU zMy<{mb10J^K>OhWTrP7C(_kd0g=?1y_=&;n*j+$6>CYFIXoK=2%Ml@~ke9i^ozW+l zwgHXLL5$|C*eYH%f>^5UTLpbz-B}JzHw+&HPEBf;d~XkD*aEJQjR#q6DX9pLG)(n{ zK_r6#$RE5QpXagskI|1(OwCs(_3x3oImYs%h$Cj1)ifGe_Sra6#?$3rga~)FWJlL< z%8oj=STbaIxS@*4Sl0`h{5^=9d(${a*u_KPpeVSqQK9OI{5Y6wFiC$rqYx1K`0Ah` ze0TdEo2{F~m-~#NXuY4AxPsS^CD*B3+BKPZEwp*-^OhZN!Z?_^IQbX3(bZ9wjw-G< zoTW$ce=Y+NWb^w9W@$em}u7!QDkeD6%z_?UOeXH!Fkm8B+!O zjMS_f1SxD;?zsAO;Za|H{W+F$PAci&Xs4z;6$y^2SoWs80h;5~0hq|9F;02<2fKZL z6wR;iN-XQ#{nS_BV0?Z!?T+qRv?Xl$EpY&5oQG-zzw zww;{yey6`XMl!P3e%AfWd(LZG1^U+sJ|{mo9)s-%sbG0_&=tj7s_C{zQ)F-lBh(ty zut1LgvPpjUpgZYnAT2Vz`C2Uv~YI^;tcH@n?UkN7(^lV!D}!*7F-O9ZkQ5J zp(BF~HmdlvJkN-yy@*FrBPi%Z!}7DEzHM59nwSZfc7KX-`H;EVZv z9?w^R2*h7qOKFF{9ysqYr%rI{;FmQ$Jk@+(uM^VG$9c#^-CuO0;N4tjx{Hze#N1xV zM;G&=l^Er+_R3(tdd9 z13hW$pkj9dZa%6%QB7ElGmSltMMen9+6Vscv0uV8FdcviJY+Nv*eCAoFDc$-U-^U+ zJ_8iB!LzSD;J?_)yOR;}^8^JrO(6d-Gd<9uH!mHkdO_DT3wt;9c8fxkv=!Jv5o-=Pp;2~h* zKGHg5Q<*86;|E)5k@KNOWsv5sG^nw_!7P-*qYsAPgth=7J~j2c(!L#!u82+liw)yW zGfZ-~%WRG&TeS&u&PROl?V|^B_;PgAFO-Btee*f)L65hXZzfs=t0Q~S)9OT@tXJ@e zK)_Eq={8r_bH_*@8A?d}shqGSk&Ip;|>e0>N7;VpVuA}a!t}C;H zDB{=D0QIf9xb6AOLL*SFB05Lg?fHm1n`${f)%T=S)qHiA>YIni*fRgf?ha?WHa)cS za&KRkTx*PvAULu!o_^1SWca=;S=&x0lls~{%f6iB3wqpHbEn9*vOq?Qkt6;1l;0eu zfYlGkZ?#L|Za+L$r7z#L1m$jG0dr^y+7pG4N(3nC<<`ndASa(I$huxlm*958f4iUN z4N>@@CZ24CHecGfZvjSAjv%g+nuflEh_J2(%YFl>+cl9r(_btSDS2RxBHL}lhM-%P z;xCpcRWvdVX1?IKE#0ZG1bI@uI3Vz5vD@ucGD`4LQkW);X@r(6L!JneJ_4GcHAU`` zeW|YIj8jYEJ3txw;HBurS|x!e*wN?quN|IjTXsA^@;hU$O>|k#pvIamIl=p0Hi*ArR0NkQTPF%kYShC z!%0aFnaQ{j^YX@qcv!%L*Y7M2;BE&D*BxV@pPzt{k-gYJZIJWvCY$q0P98Ls%8!r& zS;<}axm0YaB1;w4p~71aa*?5s^ao}6JmaOW)&x~&^hb*1cR=kXVm1jJcw0y1!3p7BM4OE~?c!(6_ z&n<>0CD0##KT3Y-o-ml0=@KEiyoiH;Hw5+YItmxCH2%qYi>`B6(J+xDkP#tA?G>TzH8n!Y@xCwcy zw{c>lS)s#%N8J|m%zU3YJ1eIb`DEnUHjV@=Lc@=x6^JvIT?XK1;E|7B{JmbeMSN3% zl(;bn09s7W&CQLhsNZ!bmWLK@YoxmPi<4~!GlPO^cS^f0Oq7)6?@>_IXbxQ2i+ad< zy>bu<6>df5Th5=tyRiSKVq1W0vfyhr&- z7zP9(QA$RoFzKOjbR&H!LP%N^gDx08C>dv)dm=c&scM3+VggAMUa)LNZ}9{{RTzl0 zina_OR}`MH>28M}+g;%+l8`10P{6f$eBFro+@*FpYGWfC2#wr$v>J$>H$LDs^+r8- z{X8_LCAsIh^ety2bcIYzb zw}m-I=Hkkn069Zd=r_Dmstm3qPv9rB+DaWm))((WBXV@p!`SS+GBuyX^gQpIUq_Ov z(Zn@k#+g4rnAVLdRIj_f=dgjP5CSpkvWzaCXs^xx zt;K)r?s{-2qUe?BePd;1$Fq~%qtAoy(uD_yU>*wuV3s&0xk#z6F6{>Ju=0ep+njZ^ zGv<3*n)Ttz7iH{%q8z#1&ry0C_P0yL>Z4$kLDtsip{3q*Mv4!Q`fOK^!2&zht|TXk zbKSHu;4@xbS!t{G`8rCln@x_^dwR~N#)=NLey&~OnQ@PB#8xb+M1Gbk#qjYxmagTQzZ-`h@H(q?2b*j9&s#i|{ zoOkDlLI1+6ztzKzjq18C;1BwJwKKZtx|$(64w%-*!4Hp%F0QXph!Qj!e%=XV1jfX~z+_UG4(rcIe)+W9ZBPZ`ZFHTMM_?S8)yGaA zFXd%HNt4W?km4shBe~%q{;g-l*b9^`l=*~<{#}Dh{ZHmZzuQ($p{)8l(<5g!*M*#p z#J_~P^8QfQxF@uMVmt#j%+ls?uD%I!&t%eel#SKk=BWRiA=0VPiuvb;C38R;KltzV z@v$Xf)Q$FZMx%c$(Je{eNs_15P4QjZL7h@K1gG4L#k*8BTf|B%Jk z7~b)dMVaH-h-{nOXP5V8!c<~QjVGHD=!g7LII0u_oJ?149qFcF>fzyl`KdbCs8f$I z4rO`Vn7g&1cYV$??Z`ryMjWOU;OEyW@_5T@K)+?%Ehtn%yPA&NKbk3%qNTlDYW)~H zKy&r6Xwar~t;anDIn!=g1K?rM(9q?FC24_apn&^TR%=D}Gt3m^D2r2<-ub99Q6F4p zZb{iN*BnNR3fwlRpIHW`KxT*6l8;CfN=mm{jbg!dS^ARZA^`a_g`VeMTj9f=rD@Ec z{7=3zs*ks;9w6wbprF9zI&%mRmrCYn=)p1QRbc}^)ZYFa`bj}IIOWnx!iFpYV%kr$ zGUhEl(CS;d6A}CrCX>i83mW+L^*^O^tSZKZ=cR$dCy>@`ZD+vkWKDKo@A}pPQ;~W7 z;{!+*C18zq5zbGVp5Vomb}o&I(0BGm5?I@!ThU;3 zLOGJj-9YyG%((o)juz%dWho(9;8-%p&qJFs7W$N8cG%_VPx--^S}|g}dWD=tr_L4R z#np5u$wi-_plX~9FP2&bc6qN!cU3&oSM!D$DgZ>m(SsB4)3mXoptMS{kt}GjXUmFw z9S#sgA|N6p_70C%buGf*KDx^{Gp}UK0;GCWpXiCVZSP?W-LipbcP;EvlSbsV8YE?( z)`@1yv<_qHFpMU2O%)WJ#er$-2_yh@WP`qv(j5hcgE^?cHI4cS(!fa8Sclf4uP|n9Dkq1CK$DpG@-$3$-IS#PsI_|~BH=+?& zlU09YwtlPiWtxFM;gXzjW%vmTOhtzxOG^jIQ>@2?%2o^SR+Qd?IaB8@8C9AUt|f`C z9sIBVl(3VJJbMJSs!}$OCLdB{Eg_=+ms8YVsSX_n^*D6y!s$3M)5D9xiG|=- z{cR^JG`~SjijP4{#mi*H(%WHLtOUrBo`J%bJ?y&LVk7Bm%dHa0mW~j>i9t62%i;Ilgj_>Agyr^{}FS1CQe+e|9%!f zxHYa`BKtp!0(#1S^d)mBa-wQsWdHjD;=1sRaDmm>N(rahTK8PR=QkjJj(z%hs$XUX zKBN?01_^%D1SwBiB%;s5=}>H!0}v~X&3KddE6$zDl1j5ms^uRxmfXX+bRyUsMt=^c zR*n~x8aLKAStQbWpH?&@{_lIH6(_C?V2@Fx-8(i?nGAnm>(OJiSb;_?@?oKIij$$~ zaiq%`wK8kB2aL@RVUtF)wc%`RsS4$o;o?!;_Od7mG@Z1j;lsXv-iWmpC8);H6!LL; zNg61^h`R|<80Tjcy_=Xdt8)ju200L~qID?%&Z)j}K~*0pnj3aU#9vk<$8D)&ki`J( zo>f!;Yw7F(MI3yHubRYiw9Xo??7Doao^?^tqL?v63PCAKp*Yj#ezCn(?H|{KL!&{a z+PTV=!)A~~%9vTrQl>(Qhs|T$xbT~VK(0gp#(|z7H=F$?wrj#p=oC;^{l8&4$* zbVi1tqh4#9vYDFD)+=6O|(=x`ZVl8;_!O0m<5tfQbaIk@UyJoIBE#jq(NW=;8#xjW&y$T@{*AUoCTjhuiakF%6Z3io z7d@GZj8SiT!lbp4q85@DlL&ODuzKo*0-~bOk0Jv{n*_b*%QA*#eQ*@)Cl5)x5Lb@; zq58pd?QE6vrS8@%R;;>ciHfjkLcP~y4Sc!6=gjXWg;Gltj#GhG-8`4%@0A_S*d`m0 z?T(U$D`?H;W&*_*mOOtCuUfPJ|1~1Ee1UQwMg#LjJpa(y1dGjphT?3W$UPeYEO>ek z3MRnCZ0J$h+$`Cvllz4obaIQSbm9=+ziUrL@broTXY*o4%c6HVL~JmmHp_-HsqtI!p-7 z5*f$R7q*{VWz|LAEfT;WS_A>v9GMEJuK^pxRt^z%_?7KTQYYs_0v`vdhWWArt(`Vn zIBBf$jF{f@E7OUfLShY&6&7GldDHM)qxD=leKD?uLi{@B&o!H+9zocgT#z)~H>72P zF0!>Fy^`rY62p|%(~wV4!>%o196GBav~WI8Y^o|Hb0e(o4z>2?cQ5(W@4!!oj|(+T zO(}JePp-`T`+J7#ayejjtYg7d$BdSk7xY|{%bQq55mND7RA_yUyMJq zk-dCFPViS7%lTKUNno$(3Qoad7Ru2b6Grze2|AyERY#(dwx{C;l1K*uAf-H_iI^*Q zz~SIEU@14Jn?m`}?H8hHw0F?SP?|LL9t3{w6jmT{w9EQ_JS=emU_D?v{+Lgx>8|(- z;STI2Za>_olNwIUg?j{}&|WzmY6gwpQkfAej4c5BURtY41K1)BnhqdxEy-08rw_6O6%=S7c)DQ@nisCT;Nym*qE8L$$an zQ?pMa^>dLOBMjWBWbqm_Ux?H{BYtv|+ajKzGN@P{5wZvv3iTT$@5W=&FUaJe^J)ni zjSJXRCq9Na?dMW$!*`~{lE)N@DW?S{% zPCcNGW7*)2$?YqgPZ+?$!jSYZM%Is6<&^!{;{A1)9X3cAXMml)3{YIQzOv$ZyAPah zu(eL4p3J2$9ZjF}6IO+u#e7vAyfuyqcSAvA<|T70YilNd;H+Pl&c3sfvseT@`Eg_l zhfYPeZOs**2T{dJuWXBufmYhyTMQ+=iN!#RQS^d}Uz1YaQyqfLyb7mM5c4H9nn5w$ z4g!#ddlbzX`sRDPIOoYWr1BRm@k?J+HBvL~1IxbTE9MrUcXMT0iOwJ4XBu|Rs_=&q}apAtkJ9wZ)xct_MS7n!GrI%LT-QiVea+Olgr z1hqB?m7FdLuuiBvU46rk{6>UiMUHJ|%;1YI6{4bWF+@B#L252KtQd@(mO#xAB`5UR7q2*grTZ(dt;ZfUC;ZY*n zt5cSNXPJF}MS0UH=hkUwQRnU^h+xFgUaGE+$5N)8i8q8IxTtcLZjK7-Cb*9P_Vnif z@@S&fHU7#uW%f!|bu^nHMxnu#uGa7C!%4fX(RuZ#~+gMm;EiWNOQb2pHIGs7h-6e%|Q za{*A-yjw2{${4`D$N%H?;V8%7P93ZZ9h00Ng(n-SF?ku2jGy2t^g>|j4$yW0Sf5vh zwIwL22&KCIHddQK4e;Eyprpt)20TCfO6H{4z{yd5YA6>M zNHOrTLK&SeLC9Gm6rf%3idNn&^^l~6M(PKmDX)d0cKiv3m5xT@+j`|@^Ut_6HR;ZFW&B_ zyeWuh0TI#BD7Qn}4Ly7r{Va5Rjf74DK=(TLGUv#d(jMk^(s!O*ILKQXiVxS-c9%6& z(ws~!M|lC}bXytMqe|W~rXL3zC~n+dr5WdteE%8@di*v{T)Kf>#I>fJ?1i(}xH@rH zlY!{(CTFAqojY7v6SEPBm`;Zm?5$zw4$h?r3EpGTvqfYT{cs#)Z->3fb7&#iHgXf`mKtcz@<8)uL8^_n`A}l$3f@;FpVU|OppuGb zrXFLRhXm}ez&8@bH_*LI9a5mTvOpdoDU{j8&$i@e2qI2H=93r%t|^1!Q7qPyN+jc z`b#}3NYW_CDAfeQO%s-bAj1MLFRyZa6q#C0^fGJaZycuet%n)FQZOk7@0tF0OkW2*zx;y!nK9$=`8;1Me(ozqlh{igVrp zER`B?eIDZ^(<(%>gCqO8fUSnLpz3+ibdJAOnUtBnUgetcz+B_^KgKrkaw_u!n={db z*vw}EPoIE0LOZ1k$TfKbOZQZ}g<2Jz=_(a@qoo#)nrP@k(UPx?wKX8Xxg$LcqCCz> zDWsu5QBIvBp@x26K=k#>jgyhg(_JC(ErD!yj3m!0Q0lmr{KDG>JL1+t6k26P6k2JE z4y@9P;CC}!CYan|l{zM*Y>vvxg^Wz9A`hEuotQExjlS295(ddTVSL4dz)=o+FuICj zp)Yf34NOXjhJcQHO>vB}jR2rriL5iAJEK`xe;>aH*ea;>+5H9q!Jc(JoL z!-%oenSMpVI!yKY2bkeEXVv?Ze1amrq|72DgZOW-P*^d#uQOHxG7Ji+iZR7zaIKtF z*>Tulsma)9i_`0zUB06J<%_I7yoESjND5lX9w-|My9Buil}iDT-?0x`<^Q(_$fr&T zjN1N%Rr*yIDbb@M8LO^rznLMd)4s||1<{f>L(QTP=|31==Pk5hMs1$%uzb{FXEIc&si zRBepCPJUyJ6J9)-?1+p>{F>N)fU*w6)q$5)S65fqzjRUt-;}6muk$Rxoq@`<=UlM& z;&U17_IQ1*lrwBn#aFNqL5ri69Hu*@H>jMjAf==X;cQI->d26p9%G!1D2zCE;_O&F z2`^axuBJlKqi#^ps!_89TkJKi#yW4HpY6hKgr`0q65KxOuH!DXwqlw~E$cnQ$K&`7 zz{CK8E1=4MBH7Ds+WaR9KvW1vR~F0R6o}^K=sM9a-$sW zJf3l|l$Ze__6dqSX^7j)l8vE3^=-SwexcX+jv_=_c9UOJtrS-CEAbfoob9^4)~Kb( zD)yD3x%Ux%gkW7oHZ$G^Bx1cM{$v*VfKyGrVFd_@{2DU(P1x56@c0rThtutUeA~m- zZ!RDroJ3=KCO+OZ&|c7&pU@yNzk24(W!a zWLN9NPebhOZryoiRz$M((AAobuC)sy0s_7EgR^|BP+Ri0+;*t${Y_XK5Z|%tCH$tC zM&Ey+-dE`*Tc^I?fc@5&18ceuPPCI=-D z8VsuXxG_VfX4bX5oCNcA+R<-aFK}A5Ixp(_uH>my-QSTKSx3J6OzKj&cmRwsSitBm zc1Vp)Uw70U|74JSMhO}0Y0iwJ2ImAk8;}H5s7{!q;t=?eg{%fx-xHcWFB|ZvCvdB# z79v|=MGu>*eW>c(T3j(xIlh5WW4-lbn#hX)dO2=|NZO1(Lq<(A+B`)5gw? zrL9a!KSCzCeFs&xj|UbV_|i>d0uaM}uHR`_d~I}<8!hZhu>(D$kBQ$2Wm-o}o$@B< z$YS%2+B+IF?;`>VXfZC}R_gYTL2b#3;k7LK_ z$Laygc^AN{2Np!5A+@^9`i<#%#h}e0IRMm#FV?Yl?Z3>QC*)_vxUwSxUbuIx*B%Nx z2?00QHxzt0>9FAzN(g0lb#+V>3L2jo7hGBpC3Ni<8IuFGd;q*0rXg z#H975Qu5M zkSWY$B(1ei%T!cQ0L&Vw2trIGboM$Bm+W9DTSoWofl+Y>!T5QJ8Q@7xtRn_8B)h>= ziV!ySN)^JW38&=t{-G`RG4XVozrci1$MoY2=%!yAY!Mf}(kUXJ{=Uc)?YQ7ij)wBO z{5U$8RS>6+R)+cZ5xdjz4Tgp(71s≈FK?m#f$~YSrR8Z3Lpc0C=`&Y^Jb&Qj;?E z;D8Qhv2h(Yo2U_dGUC#$s~QcuC?OJCIt_I>8QpCb&l+SFouf-IET6#Vt@-qD2aftL zvE!cG%`>t|7N(SM7n@D0GdS{+`T!=;^Phy^#^JgG@dij4)9UI1lLnIW1C@2cdeSxE zb)DUF0{(EilGln8qT1ffB(^%GAhmjo(7~VsuQnxW`9(M=kz=$_X%6Eu^5FWvG10+e zj2aXX=gK=J>B+}QuzGz9WAcfSdS(6`QGb{mBsl|1D(%Qp@I5F)sa-)YOv$`{4L3_l zsNL@whEuRJA2g{vNeoSm+>VRfnyVqTtvuO)6^Hn@gt&4p7Ea!UQ``F17PM0TevTYv zM@NU=FUxTB2=HTjv?x|H}x?F0e|N^-RNi#!?k`^$VX|MzpMW*o<95raL#)SwqV4N%cS`a(Y)%< zqIe;k2N@O?TpEJ$*-yHN@CzNbxN?%fGxB>w=`s;o-~7td)%zH$hO*(mBSLLz4`;7p z#mQq7gLiFUm=w$Gg0b*3U}Zi!h_I8Wn(W|2*ym%K8nDb3;kpd-4 z6+AVUG*(}9(0o6QS<^{E`b8#*eGJWQTvW({jj1??j897!B<%?ELPA16rb6QctR?N( z_eyH={u*5aI0CxYn$E5SMPGnJto+8csTbxr`F97WGa1!3UF@L#fG=*OKD-um4ip6O zvyYbyex_gSG)b$rPW&pGX*XCBf>%4FF<31XO%0WyX@0f|J^u#@rUmKEH!4p+-&$D# z<-$h_&)O0Dr?&4*yc?9yAd9F?ISa;v68M=Ec&y(VIy5tTZKj-eD--0`m8z9v!9}7M zfDi`QVG~C}IHCrBBYY?*HvE9Rb*R<_gU?6FDb%;Z$jme~9T09$SWN^xY8rFC7u1HU|~Wa2^>j!@P}!X5#gGZI)7g#<`Iiu4=m4G@+jh6Nhnz*a2GY z`X+A?*(SVbl!Eb@Z_3@xt@aTxUiFFs2M;6pZpm73qy^DhVM-Fym;gpX@RRIb zHPhig-5_V!5O*St$+93D{QW1ko8}ANf-OwD0wypc604g@ATdMB_jjz!0iBvmiG66& z+LqEA_NuU2QhVg5Ui@r&!SEX;k$c`uG^5?KJ*|kCHpIeL9Q`U9cE`kA= zzvq7xh7{Fjm;}%-z-)egabf(;O(bu25o~&vrb>e@B)0d30=cM|Szl>oD3W&4Zj)h_ z`w58u^G|*MRgP8eJMW$C3=9x4kGIY=8}|8KxX69~#*@*j6x+9`lUj_D$zggyonhK@ zm%^`mJIQEid+$JrLluuCZ-l*1#Zb>iBjt6hPjrUc*x*^Qv7hk&6$pCWqeOcC+jCUL zz!OOf?Y-xl0{DAwl(O%OSz0*9)xRZ~eR8lXaNFQ(Og{7@|4v;myEx3q@e#T zbKcGUJsR3RwR$;R*66^pluokyWuJ1i!_ti<6NWA^P40w#0Ipl#Xc`X0KAk<2YHn>V z9Kj)Hgs$^xx!iFREt-3^%!DU%+8vNeOYQ%2V^4|IbCu4W7@-e(b`JK3BWF7UkovVp zz-dkgKb`ih^oqhG%D&enSuW5T#cIO1mAx%McXX`AzYA=l7rfyh(i3b@{ZFI4yo+QigQ#QE2Vo&fB|iKd`tjow3IyjY|@fl zEi7Op7FTwN2wv9ve>Z0*eE4Wzftd zV@A$TPWS`())bl}?<-@(Ue=J4dTKZ>EgdDeR+Irn=X{Y(e3hA>VD#0|*KMA^+-nfd z$WFq0hYKs|y9DxAZ2vWKgNU;C-#VXdNg>n%A>^nKxsM93`&hxxxpG?$zw!&WX3>uARPs>lE|C%xjX!wPX_r^zW3Mvrmj`k zYv#|cy)%i9EQ5Z07Ms4@{oPH;A50AlzcxKYC|_Pk6yTsSq)+*;-SmW_U+-D2a4Z?} zqXn;Hoc{LxhSZs*F0?uoW=A_cybwi67$L-3XMdjYNVKs!QYV85gUcZ=1ovGIgs@Z{ zlxR>fUF@6JRgR$lAK4v2SH;yV-=E0h@wo#Z@h!0`w2!4L+L7S-3*GtCG{1;^M%cHg z9oZs(1WXpSv-FI%1SGB~X}l&20=yw@T;C&GdS$ zi&c4M?lz)v?}Xvl@?>u+;XOsG0O&Y>f zmLDxgO3>uG7#f)<4FC-Zy@GwpT=)(25efS7rOU<9MrVLi{qtoq?x57_nPtP_!^@KNat3WV`(TnK$?qkO*Ypf{ye z5sXBmTTC*ypAW>xz;h+8EY$IRHcW@& zk&4&(Ko9XyyJ}&8%ANIbl{nPJ(2OrL~T$ckd(WkE%jQ)shIwS?=4AT`E$@|-UTwDNeYHZzsON&v{<#{Ga0Kzyf3ups!;L>AE6+qG0GG)E_!I>NUqp(Ij zy%TLK({}%r?n{=Nc#2HWW%mfYi(br~o?k@WOYP|m2&Fnm_w_67Kzb*GmE9LL=hQoi zl_i{hP66${N}B;)^Dst{4H{yo_V?11W^hiY(D<$eaWd`reX5<6DeatWTrY*pJl1Wq zcND(lhW1UCxt6JtHV6sb%I!1SUB+K!rfNS;`n#|%oDUvSg}w?$C%Wuhr}a*{EX)>K zWPu|^d_O41tZ*xTVC(7$*nYhGXE_6^YIu0KKwY`v(m)Uv@d98(43!-ob%Ig2Jpb<> zh;EPHM@HE5j3vNGXG@pUYs*6MNe8NuMvkm6O&gI3VXs}vl^ycs^3PDyDBUrBk$U)| z?vem@MyH*;76Lb__!z7pM5Q4juL6uwOAC_s+$p@h85P+j@!-G99CXx!{TYjjk)FStBQg3BU69HU;&u%u@tKPT zlLbP`u#Iygu2r7=D+vuo@)Ij}`8(Q7d4`Ik`5kuI-J9m&mcu_ZJs`n3+sHw|6s7^+ zhAYRXkj+&nekYa_W78XGtSb>rE&gj3H?6Mcb)kkDdKWcgC&N3cJim%BAdTWarhz0y zXiH7%+Up?Tny-532B7ACbA^&ia-_^jUh1Iu6gI(hp|trZ8!<&|>VJyzO3RP7B%t+Q zuu+>=+j7?uoCfR8=$yoWXM(z$U z6C_^%ODheWQCTm`pF z=Bry-a}7IpitN!O4c4)CV-@q@%fl%+9pU;PTh{S&<) z=L2FbsJi{qOe=l`lRe;t-_rBXAzfi8$u_GgMqKl_gY|! zM~`h3`EL5{`Tuv{-JLJfi!)%gYGoyuO2BwtTBB>PiQmu!{(Rywx=HSJ^&uc~??6oy z;Oflv656;W`NP}*m@!(+4=a^MbX{pFE?)@{sf|#c&%QOHjtE_=mdpiO&qaOi%rTn^ z+19R8B~dT~%xVBQJm@9XRfdpO4tm25sD{CYvbp*&WfgwTaE`&P>wMA@P<~P?nd~Vq zSbz)?KSC3y$qPu{LH$UM@1BE`p=PZ_)wWQu`2dS%OjyNuhDR%_fmS*GLy< zg`@0XB*BKk9Ht`x!V|qg4&vJXoO541sphrpk zviBH;Sp!}9q~W$)vY*=akre5cR|+*lkUWQ0W7t4MQup-FAI3+hhn@xANb%H@p&~mo zXXD#qprfrh`nc9E!955M>59M4+Ld>l!em1p1|$P>Xw%Q7#(FB-7p9m+D zyo9;xBEi)iAS|XeW`pT$jMmfA&wzSqzr>C$n{D%#`F9DIqn#=L~nT(B1lTI7Y05=4L57 zzN=OL&l@~V?Qd@O$0{Mz99Dl5Ad3q9zOav}Tm!c!c_X>ABv1`6(C#7;%P z-7Iui`E3}tlbc2oYWrXCzde>+Nb>uuft$lbMFAF?LonpM2tdUJLi+)OJ|WFVFO;q<_1l9=8t2BpR?XTljD`DVdw!A{N|53z?3NUxfh)3k6I3wD*&4w zmQ0rvNG4U%Zt$ak9s=RHUSN6r+J#o8Y-OP^QERvs>beaDzm^s|8c;G9@}sssA6xWG z*@G-TfXcBsJDVqfc>J7vY9svLK~LMGnH?Tk&$Non@N8OgZ{h#=UxmVP&PRj4hUaGT z1<3q|q_(i?NZzGzx8AS8p!MNf>*PkAs^f?11~Tz4rEAT{JhWWzD@>37>a^>xF}L&X zcL(8{b6?)RQ^oq-LmBrbf6TAYQE?Q(c-p|fCR%r&>>p+oB>gZBGb#nRo-P}IP6fyk z9I>S@U)uRxd!D>|upczuKvX2PpX=Z1(+9@^ugpZ`UvX=5!H*NgImZSiHsQChv#&$@ z&#)ucanzQ$pmX+5V`tugKRw5a6F;q8;7S=an3LmbQh^OubVO!RdjZJDTO1Pg6kz-6 z8ZiZnm1t#K{asdEOT%+yX*4lv*O5Yfm&UEY>H6uFJn2zaA;AnBo|U7Zf<^{Y3{lNj zd{gNGQlhPTrINuWy^y~++~A*aMWIJvsxFdlbzdo!sGKLqxySA>`wiMR{8HK;yf)9; z7DjJ7g=~Ahx=gb!f3RG+w0r*fZ|q=gpwrxhoDZ-Ai(!|07X1u1?GPA%MmI>5rH+Yx z4raxYowaTwnc8#Aj_Wfd{zki{E zgPG4U6UlAW@u#hhCEct6o4VoQFmGY~dF`q5{Fm$UfzyKRTpM7tnZNyZD`pZWMu~)J zL2Nxx5H$}9@D1jYH#ScV3UB|l=QKw(TUgjioFY;c>>+NII;GoU0_Gts)Mv==EaIgw z#T~ZF)#wVJkQ0j!lN^@VdQ#g3-j6`bBnoOrPtTMca8Xt$0pI9dGW4%nnyWzb2hJu9 z&Nky_n{@$k{ zWG_gsgjmf#6fe3N@}pY@=suwRsp%%i?*%S1`;Dm@5KRwH=(WjRTZjhU^a zY?s(WP}*q60y8ClB;DRr=CLj}vp6+zxsEU0K4s@*!gHuB5);O8W^{i@SUtB`GBojI zciYk?Z{SHPOx9)O?I7~MYr~sAW+^)DMlVW=ofIeS52rl~T<0T#AU&(Xe(76zcsKAv zr1C6a!`^ANDL@{~s@NwBP0ODMIs<{a4t2~ED$+B_ZOSP*>d=}fA`hu)1aYgv6cG-n z&_H&ol#QNt{yGK_Nyi|%187FHPqOHun$itxE*hq~TixxKypbQeoS|;k&t19zVvsjnA7c|E&UKOX6uVZb`Nu5bmW&L}Yn9s&sg zjiZQ!8uVT|S@=7&T|)h5#<4vLJ&==a zPmrO-vzLcePy5Y+s9FHtl>tVCs+}TFnFvs;^i{P`D;3RQB{;B3 z?2GaQcNprTo=7;}TMmx8CVu&uGIp3^=T~#D$xjL|_YbB87AtbD-lg@mwSIrYZl4tp zYjU%m<^n-0JEhtWz`&-ZJv4<;>S8{}-2;m{ceWnkr6B5FGAA6zFU0`0F0qjH;~))% zUNO!O<1`Q8e8Y{PCOyg=@lj`^d8GT&SeCl=s7(-29w<-T*fK9lv>;In-`y_6x(|cc0_f2FcOQU( zV>A$wu;=!YVO zU?{b47%(Vc1D@_THH=Va^U17+@wQ5cAjOj7n;WrI^OQFFvBSHS|KsQ^qq6F@C`@-s zOM}wg-QC@(bVzr1DIqQ0-5_0pB1oswe8fw4=iOZYG6oFcy!)&@*PPF^aK&YIT#o@$ zur(TsVRigJ2N_**<1#Z%liyMtt>+(NG9>Z$5$x!K+*w_@e{5h4xkJR}Bt|fq$mhF+ ze0sk2?paO^Uz)jf1ayiI;6x3WkJKu^;oaM%&ueD5tYf)ScXwD3qohdPT^pHX{-&so z$kZRCp3czn(VN;PT2FP|H=rYBnh#n-)-F+Bzn>AB5KC*SK%++o2A2b$GAMcV}&I$R9nbJ96vU-kW*hSHBnvwm0&s?mWYD= zx4Qsv{SEj)y}i}fMp(7IQNxZw5<8enHdqN#bV|=Y$Y@s?@^KPALB(wNo+f&z>8-hWTS z%&Q0t>YyH!24S0L=CIU!ocZ4qHUji1<4DM*MqXA4R}AWk5OM zfQ)7}jj|~kr?syy?s$3n4h=O8B}A=0T-}e#{`1ST%whTib-%F?^}aMxcAmI!0CQlw zT}50=+u3#!5%y3~`zHm;h02HM2DX@q`q+>!gxeEWwL375{dPKZRVeub>gm-ew#J)Z zgBa`kVk#qq0Ak*L^wXkzu9MY6g|?><8Hn=kzQfex!8ZR0@ys>VY*i$&AD8l1w)$LR zy4!vvi|dnLqWJ@UMQ5=sP={P&X5Lus=5mDS>#+#7t@U(;Us2PirR#nO4Rh>O+AN zYkbm?_*wW3*+1kE+jVLwP*7+vqan{IwVS4HNK^DbXOe*cSK zqmf~`oV=L?l#_?{188<~vw!)Kd~EsMyHW&tUE1Mg^2Af|js z6<25mdKPg16~eYRGEc?a^di%3$j9CY#rzykPP_x%f3EF^o}GysduysmWUbVuL`;ct zt5;L9Vn>4-Z4+SY`Bz31fLCagHjvWf9sqGO?(8L&WC7Pp#%|+~Qrhem?aT!7}U{X~| zU8m}n4nDFFn*<5IE-hj<1%JoP^eJPLntfl}t_L0JZXq_;MyOxLJjq+{UDJ!XBQ!7%EVQj z&-CtPBULNgZMY4zI*F&^obWNpOW(mcccg_$7jE6Hho+126}w^31@UBEJv;$SM%LIQ zQE9LRs)a0r`fmP4Z?)X*D;NR>>+s4q^{hYD9Z$56_`?o5t_!pCc%%h)s*#FU6hfhB zMyC0L9I@>&10?r{@{jutS{sOTE60n1w%sqhQzc7z%~_hT z7NWY2L3?Q@Sl}Gd!LmQDbQ0Kv&fk`(^*s?bV{FvZS%j-qiQVDmL!-rJM|h7Sag2Kq zR(}KA$*J3rnrS;SCSDH}TmTwVrtcDV^L}CZQnMYw#)rJgA2$1nWd`r;lcr235j%J1 zA3s=HiOAtH-^_8}YL?^t)v388?R!X?qSDES?s3{=?X>o~-oT@=4r8#_41kbWLfH^u zTMeM(0E$Dq5mgkm5thgE%qJ)rsnIQ*1kzmdG%}sVU(C*PnhE~VRCb)jnkYK@v|5kw z6U7T_fYkTeK6noD5x^Zct!73}l06E_BmetCN6ZF`W{UOkmh~B2$8TPq*T8aQo%{8+ zhp=#Xe2jqrYf+>A!?^NlEnFkedq!#wA$9&+bu#rb1*~4-pVoVV{xch{LJRJ}C z*k`~`GC(f)Wa0mhRBlbZWTZT2_g!SDwMHKKN+2vu}^v*^^gB4jP8)r#WvF%L8>!6Fk9z0;Ub}V2j zKEI^QBpnaqh5jkA?I{?o=~ME_6&v%XDem7`Lh(T^aieZ@qp-})`k^wWjNq{UqB<}> zHpwRW{3iRWo=@=Zb>|S)pTBkj@rfUm#%cfrbwV|`|M+m8z<(Yv6!G}8U$@6SY3ATQ zbWm6b#noEK7cmw0^ZsJOR4A|u(!K2y=-LQ6Xu!&*o|taZ5A(CDx3?bd&(&43gTs#X zn-j^|x(KRHnrA2$i<2p-UuM`eSI}~^D>4`!wb`^3U%AXi{#=ka-~`Iv9IsrgQp?3W zu-LueX+$!eTUBhyos!Adg`C67V_ecM9p{LY2(V(K{tQ0Q@u(?A{?v*w*g2SsW$a8T{6ypA?iL%Q(INK9y3&+X$+SGejkvBe z|NJp$9iay5G>!fPm-`10;rgr!pI!2ODbyhD_V(>U?=gyv&I*@t{h}b`{z*iWF(2|2 z_;PmvdEMP{r$J>wd)k+8xJ0&U%0$T|3NWH!D$SF!d3;+UD)L~L%Y428Go0ZxNL|$WLZF#qal^w za5R1AFpgD)`>D;L#Q@kA6NWx=5UoF)dHcJ&hfgnn%BoOp=4O8eG|m2s`{!t7eZ4Ft zFS)rM1(?&3O?d>Yhs28^sT@^uQ6!%AG&6<1c)d-VE%4X_`M)*Tnv9$rr@R7R6L0CX z!{X)^|Fq+C_5!nWf-)17$NC%QzUIQlp(~9PW%%f>g#*g(&|BTIErXYyo_exOi@{Xy z1(0;osfsI4~e%uOfU>}dHQBglpzNG!oC`4qOuSA4cjYZO8rLoo! zU+$&*9wkuYo%kwbq`*L5ZtF1Ajctr()h{DA#P#>4RZ}LW3hI66a#iV!ZP^Tf(*}n9 z(x)X%2fkP#-%Fbdq+Vb-5q8}f6Leec%FN_-17rALcp#X=LsChKD8DLwN2d~&J#QG?GvG>D~B zNGyY$a}1F=*IQ{pc1#A!98?xWb)WSVauezT{hCTo!QyS~973TQBjUeyCPGh*sX0-~ z73~HkR977~X2(b(4QPg;kc_178wCV~)eO>KwKJvO8q{9|Z>|)^VVvxo1b!*PEr?bW z@|C;{g7i3m`#WlT;&A)}IS;Iu-aB}SJBD&=BmRxWmSoH+_@ul%)Cg}d+!Q~0b(^g9 z2IYMgOs?kRlTkq!%P9Q;t8fRhYW@j1xs0(4_($?OECOL+Ok2qG#or0YV*hRz8r@92 z$3wmaTj1;as{@sCePeC9EljFvG?_?`TKhX_vaDuCTZsYt19-UU-4eHc!`XnL_ zfg(0#Q(VH6Aq#)-ANW*(W2O{p;%8xO5cz+e7M z2#yz(PJiez{y6`tAK~^oYBAXc=%`a;x%TY_{Q7J&9eBfGtGitR=yirpkQai7nt%UpNi>1dz*A~nvSjOPcTJCl(@8_W9o$8g zsd3RPKP1!^W#L=XfQ*%L&}&z)mRp-S^p7rR&7%8$!1FHTyg&9B8ryv=ywDjsb^S|y zWWK1{;&&@H)tx0r>aqB=>+fDaoH1*RlhcdyqtA2u-91e*=BLI}gUm52x;}n@k-FFB zZ7S&5h%FYZ{S@vCttxY+DVM~|p`4V-6ZaF-b5ClBoY|^dks2CF&`e2}<#V6qDJ~hc zBhuFpyE=+b&|*+M!Kb+SFH5s?z#u7&3_=6soRC9z+w6!YFs$&^I*UL;QeXjJUjhXt zqguQgW8^x83hCY_R{|zP!~+hEY*H>bJ_UNm2lt-hEeM@*y|q1Nb$v&d8z6@d=suY= z8GF6K=g3lW(&cRVn?5Xr-EctGuF-QnI&zXjVQ*TOt2obi6B#XE2sFQ)QZ66(R0|$R zn#FjQQFf%A6st$U*(|@Qk9ehPB{mDgULZ;Rs0ctp$$5x1=X>2 zK~D#}N(@P1D^-?IL12>uxwso1mQS;!8;QHBHXnLi;2fqjwM8XV`b?%B)`#efyJO#xI8OJc5k!&X-U80jcT@yN z*=9hfC^+k-D^G~NfuWWz`7m?a)%MWg?m)I*G_*qr;RU#DCN*HI* z$sEtn2l;}7{43H_01VSE;Er*Ac+Jr7T~%cQ}T)*CF7Q8n*~U{{}s^vQL(*&W_eN_cNkTGb0xa zzirQOdRT?>M?YI?XjoJaz|YYA%`Xh%iOy^Syq&Bu22Q=n{>WA-yus?nyIbD-xsg*; zTQYame{l8tUQvVHcG%y zVI}jAvHwh3cbvunOfz#hcW|R=G;e5OoViB6RoLOtC8wqEJtM~N;I13Ep(*Ct)%Xob z+_(IJ*c#7S#V^*O>I6vnrus_Qv54%<$V<(^{8%}k4{Xt+8Hn8_`qepMcNg?R(+n1M z&NF_l4#lHet+vmM5m%le1(lofby*gsRxLxd-<6!rz*Z*rPb#^>N~O1(K}T~r>LZN} z`Y4cs!4oLsb0ff;1?-KR-N5<1c?QJszpp5umI<9rf?Vy0KpBTEnzm2sxJvQ18iZ$Q z{9U0RbGPyfvOm1tjTuFm8s2b5`cx+tHB7cIpw^xm4BRDJ2sVFNai3&4iDC+7t`9o2 zy!79la^Wh+m4C{Lo_;SqaU~xvIY7Aj+}zG@cRSL0n!?EAs_Xue57LMzAO2G$Y>c@D zd@HoUW$c0pJ|Us-&@KG?G&^qat-+#66SdD@1SAP~I8UBlKRZl+$VB{YtN_uGZEC)% zwon5hSgynR0pJ$VB&KOqt8BJ(U9^i1;etuhJhX`2(+ zyHtL4s3>tPEj%43%6=Bi8TB({0mQDQqj1z%A=c5ugSy^h&rT5Grp*Y}_=RHyx@TqjAv{qqD=bzVM6CeUex>b4Q;2gz8G9eB2Wk{bp*o zKfC>I?w_75I0{HNx3(~WUQS*s70M*bZR3-8VW98#g!`j3=wQs|u4Mqla1$D>k)bFbmfibCMz--w z;LJ!b#eN1|N+qe85E(V$ic}JAcjNr<)CI*@FfMZUq5nnjtZ|nkTgrWCq-n(_L{06) zw!mbF=A}d>E^~G{^Wl zahiLnLx(-X;%9KIgc4;OgjUQ(F-YU{$zdxbYlKDT&7O|w4eYrCny6p*ssj(mzlO-- ztiXa#K7#h{&VF8+fp6zvYP9}gwvUr^2=l+uac5Or?1MiAvQ`MG;gM5r!*;j@nEo2rel{n$=8 z$LPot66syj30cI2+rh}>6Sn(SP+>A3Lo(=xc@&7vu)3-Hx7uR?F1vd>@b%9n6nMH0 zoj^T@(Tc*90I*Kq{sE}P92*;A(|H3t29lH9;8ub7{y=#EG?G~)%JJFTfM^q!=>1uS zN|qn&lP|9A+2AcoCF2Y$8>&)vvFdliE*mSzT4nsIPQ^ZUjj6Oe>(LyvKp%N^T6eS- z(qY}hths+F><73^n%~V~&Tm=FI6?HYK0x%Z)gu6Ui`vv(po*8a=^$bPQ63uwy^j3!$9@MMA0`F3|R^u!+`csS=2 zc#&m)$MTi{j##>q((3trr^Bz*KS@-!c(FDlP_PqUEySk`Gt5j=i&&z3hc?;m@fNQ1 zF>$+HIE?5R%a3gqX)Z-jZW^%a18k7sK54x?N0;O33K|xpCYUI{$T-<;tIs+0zyCfQ z$J<=dJj`Y%xXft$`?l<8Q=tuWUEvWuyK*b=mvDD2Cc*TR?)CKw)J@iF*&wP*Z@60l zPHIqb4@|eQaZ;iG5n9NP?G9Oz;OVniHocYP!&GRfL)b_RzQ}yaqvFiF#ON>G@YJ~z z5IH*)obRX|!yrzExvD>}x8DdZ=U;`mo~+U=Yw55E*BfZeaQb5BLru%P5K3S@KeWBz zQ94r9^C=_tWdF)#@JE$_LY?kB$2t+-4D%_vhOQzW#su8CpU)f4atRdQk*gDChqnmz zy573mKxa)iAuUU)Z(aq4jqTM4eS2e2{9L`|!IDvWwkE)ut^kuSy9vg{Xt-}AUQ zX0qahwfInx7c6UUmHUN0h`SN>;|6@Pn~neQ1L`1zaCRlyOW5Z;yuC2wxmVqxu%uHZ z8cvL)-Yw_TLf6EYN)uE>s)s-YXt4ubl6yYo{k^IzVJS@3-f#Y8EPqn-sHiM@DSH_Ft5ep;FT3r^Aj5;Jraa_cVzbD- zo3pIFMOg}$bv`i1Y^qM=mP95AN zYl&BW2`<6wK>=pN2X>fHkoE=VzfrV%c>Pr6i(!XbF>%?=nV)Y|#Bmo6q&kSr&K&m++Xo0F8EDd(Y! zF75;tRQAmV+VVr!Hq%iUbcj5ceDDibYP@MrXCk}Y_Ys`%CP>H3vqRqr%Uw(1BD)A-(W zEE85f43X7vlJrUhAqGWV8c)yTzEJ4M*7&R==&k5btM4KK3?aC<_WlSj$AGuxSZ+>^ z<^7&_EW^6y6S^6D^L%?tNLD-Y-n=dx27zK}^(%Mf%pTwkFfm^xIH+NNz+D}M_-teY5;Y1SY_z;1x;!W3mimhig)z*gNeY!*K+(ivHWfx* zyz0ANXKU>)u{!iMgS-grPIu+^Df9d{-~Mo~9+ECPyk9rj<7KlfPKia-g+pG5 zU@!Firo20b=}4H2Bzmi6ezeSUKz0=N0F@^r)nF7+zolC#p z*LY!-ui+Wh=DI9czmiES3@UfmZu_wL?vWb+ z3nW2RNFyCjb%X9Qg3-|o{#hwR`I=mVQ!3jHE0Ldf6TWdsMInE*pWW4k294KU_YRHz zS-B$r$I|xC#>+g+~Pnem-kiZzUEnZy1)&y>)WMvJK zUauK?MkGP~Vy0HCw)rldwRw?(tTd`kgn4}*nF=I&@g^n^k30=1JgENw{|yETo=xrZ z24k^9Jva7-KH$*Am8G0 zrv=Je-P*2QAiqlEQuQj%buSaHO7??rR@f%$2MGy!6i|Ub7Q8TluK0&1xo-@FB!p0~ zh@mcBWX>i%_W0@~Dhuiz8)3_vP|C%nC<|*2gWmra9&_ayU{6-^J5)>lEn2;N7UT{2 z2)}8%gGJx_mxb?H&OX zZ71T4|NaJ|k;;px*eP&<%!a6xQ%gr6-#~8wm_jwsy_gDo<2Y-zwBqW^subg0xqG51OZcq{dvtH%|1nGA_ zhXuE!ZY`|YHc}w@hzE6Y2PzF8E14HV)rBXM^>SlxFQ!a*wNz!5+js%S@M}d2sv@Cw zdEd|}{^V9jS;%EUWl+0-m^|`R|GG`A2Knz#tJ8o=$(>YaF@T? z|2yal$`}Q5rbp3=$!){}^jDc>h2XMe5Kz0ZL% zaODdap&@^t{KLG<{sPm0mV1THrJY;!lEHYIeKw+Er%ka{HCeT zws8Fuik5=4J0k=^$Ehi6m9}uZQuJ>9U)>>fvUexlRG_6(i*l$#7d>t)ehQbvzbM~6 z9So_kzfjykmumO;O>f=_r=Ibx2YwT*N1wbA!*li2FPj5;1dm2O6Su5!c~4RL*FQ0P`O9u z>8(PttY=7iPm}QM?(VKdkG!ipL*h=bJu$VgU>4l5C0dEB;L^+U^XdIPy|35!e#emU zu`$C^`>vK#n|*SGBwbML4UCb3{E=xbDGea;mN^IO4|DtcQE`xKB%k`TpLlhK6$A^kj_D zv^j7so{313LV2%E-(n1t^xSGq&(QxKM5PP8Vo1i3sAwdQOCpKvhjQ*h=zOiS0aI+? zbyHsEKhRzC!77?vJ20A#n#mfUjxH9aXI$^+KH|&e-pt6^Bjn{VPdE4FmEav&mplzr zD0|LLv(qj+96W8KW{f^*<}{CXZtAV{Sm+9#l{Zcv&$?bHYBZEhpNE{s0p>oqb(2-p zaxqg8=W-@m8WhZAAg4~--c#gmp{f3ajsFU~XTD_prs;YQ!~%KWtzvw}DrMx8nlYH- zAbN9rjBEMc6ZRl(gREwvPrR?6<1j+?XD+2wskwU4<^UC<~iKm*x-I2a6$ z-d~*M+z-ROYfAdm5kDmT>g9_7ZQLLCoUQ(p3~NPU+sckRLW{RP1?FW(_XpiNjl|HQ z_38X+G;%(7v5p;`>0?5N_w2tzyaR<(X8RJyLCrGJ!9)EnHh)BAflvOMI{}(Tv)lN` ze|XX%bmk5XP5+7)me`xX2uPOjn))FWdm|=z=`WUb*+`wDOAxBnYOojESK=ss)_+dl z1_eC?yiLi&a3Lu4yXrOXsQsOt4ptV#QYjv$jnr}2Ex*2L=2-Ue@>+O3_o8++JYLqb zU9=G{6!LXi&82GvQ)m6fOA2D@{wrB?Zk zGmvkHx589wRQzgzu0w3qV_MhkmIh(uG-O)kv-b1*ZbICYY#soHDY)V=wuHY~a=aBP z8%bt$4_tGPG`mu%-|me#vnC+GiuX-5awHUY+1mw|t7+I``p8q0^ymo7N@h`jf?w6qHr+wZaVN>^arVO5|n^F`(ar=Nswku z(4yh_7X*vE5#p?9=&a9W)5;deowl#bd&-lisi`TDRiEO|*-mwzS&G~r)(R@ku5#^m z{43vq{eZ;~e&1;~$dyFIbxmL(^A7jpE~RB~b@mFmD08|ZoBgAufW#t~F~7p?J;JLh zlca^78S$-ioL_JZ-EQ?ki1nOg+QZzc=^t>PhXFz+9JD4(8I)N+H+gNaU9_e(Yy>>q zZW}iCFYM5vFM2i6(3AMFg~8wIF*>zGa3O|g&(nkKT_~+vh;z)5W2Is^>#l(Nw;s7K z$z)p`u5-@)*6Vw=rGD?4Q}mA3LOQ?!*j04R=5)j5px)G}(5tD4-_bM|EQ*Y2ebSir z8?e^4dzv_!Yq!~wsFB`!Q?-zT06Im$3^yeD+yH+C`=|*Hyrb?Y!eHjaMBa{@QhkJ6 zq_i?0M{T?^rOcMIt{eAi-U<>2PaW-9384YI76}aURaBmk-_R>%dxMy5Cz4jGIO7su zXu6TgZ)H)`i{Yl;eEjQ8XInnO4jbp>o(;C_Jn~oOC_U{eA-6ehVA;tJN@8*t)BX^_ zLvcRbAFu-3WUnYN6f5ai^_TQ49H{%4hHC@_U$u3sa4IONR^_K1Tj^55t}i4fC)a_p zG_bW)gEM39^}qWXe7M@}=TFsNi0Lzm^qH>2Mmcz?__y1A&E*DzRt1{C&3!ag!MH`N z#z8gFjk=6kyHV)J2`f&WBx@7CEYrJj9_Rz6ljw`7 zkaQ)?NBSd4cX8O2(k;)a?uzk)$gPOO(8@~zbx5J#u50^XZlJWZ-^vlXM!)pbi=Y^A zsWL{hpRYauH|=k~DP%7<8}99?$`f@fg9UW>-FuU!e`t~MXWnR5j@$lrRtU>bn8rLX z#&MN)pe#)xMeM2<(=vvMB5ax9YZzaX@9;12@}aG#RZ7lKra@ovS1ACX@Ujd@DCZj@dX$N$ve3H9ept=FC@E5eX?cw3~IaY z$wf(xu67bZ7b=;|Etm5Z&n-t1(TQOzJvTa^X*2K>Lm!6X;1bp6sde zCkvt7Kd(VMN9u~Da0_Ovyi{4p0m!q*y9>ZW>=xzY6N^Zs+u_rOt9+cSJyV>a+3htC zpSjrQcCi&i%Q^zGS)k~*ReBpmaYsqaERSj4x3F)&?9;Rw2|74VCi%tutBIpjkx%tn z_&cl|*iCg0ik@3QVC%zwLga7M#sLof&2*VT$ZV@piT|XwC->OL8r21bKm#5{;Zv>T zvz3!T-tOGqA2e}TdBB|AfQa(UwGKU0jofEV$w-3m&hkCW?GtRAn(I0g$4cTin8rlp z*%;mCY2(kAP8ILp8`H%7grQ`Yl9<^`sqn+H_;+#>SGaU=6-za7A*~mAyt`XZ7aJDl zCo3EE@PIgZmTU_k_saS(bFf`)XNj{Y{VA|oTpVgqnL$juQcY^Oue)sUb^|#JF#JTz z0{51;IBGTyUa5vVjPRKQ&z})Xd)`?ZlW+MC?&Dpe7ZA_d?^JV3h3GdaR`Ay?m*QT@ zm#j!3bbK;QL`Xy%mmgL>wZZF6>XnIC*`@19un6j;t^0)2t-JizOUSJ2)-ctagQ6uY8_HXi)|k`BdXKNd%C)K#sbK4JxZC%hJX@D?1?MwAyQ>@2CaQ+o`K z@DLy^bQ8lO-w(3fW(o;ESJ(VZ?n?QS?-{iTYPx}vj2-@cANq*4@?T+_rR#N|h#|)| z*L>4AotL2flen-3&yn)i z_a)G2M~V@p4qvik1~q;C`}(AL{48Y_V<6eLn&zKkv#GVD7z5HLF)ljkVq!Jp31zk_ zm3D#I4ER{j)(-4)|NEU;D3b&CJ9G#!S@8*3iG-_mvw76ai;gF?^oxh?r}IhlAfTv3 z@EJ;l7i8iNaQx$7Bv386^^>klX)4-8h+cCh3u>r)xo+*f`uc^qI0lBfi<>Kj;+i=W z_w(g{VMflE2`W?r`65Y7Vd()l_(6)y&`&}^&q9AVb|1KJ$#{nQ&FW2-X39=#77jpC zL~l~LC-A8dguX4o(x10!V1U=p@4-kGpB7zTMh69m?6Xdrs?|ut044Jjd!;pHdCYx0XoR zFLv*Dg&ewqi*I{kuP71B>iV0d43P8)&C+v~XjuLhx$CSGy1lWL)Lz!^r5>}?)fMKw z|8MF|Gy+6oChW=K)+3qIHo_qQ)dI;MtN^{`+`o{0gv*Fwyf<7(?$EVbN#Q?q>D9sp+D2KX(|rc{B~vMJp*8GczC4N*^b%pO7_q z)P)Z=!GfR*zOTQ4i3B5ROUhek>)y%B2Nu9p{v=`E-M00JiMK+!dFd9L4!K~gTMRxt zfwS|<7ahsN-ybgG=|ck{8p0*9ls(JrEbNpnpRun<@!8cIwDos)tggXS#?+Z%^QQ=N zdtTHEGgvL|>Xoo(S*A|f7`0v1`Y+nDDDp*&yvUq3JqXF5AIYj)Pm)?_vIbIkL}$Fc ziZD$kg9xG|_;{ZAwU}Ad59oexG9TX7c40XN>Kc?CVoY@+bDdySM85XyfE@-<)+%5| z$Fq`n8+KBQY%LPV7K9B{CES8L1HlG>ACjL}R5=i}7{WsD8$4zL``|2`4b7w%`!isk zACib7u&9Fc6yngBNRU0Cn6xf{PzMwiDD!hkSrxjEU@Qc_!Y?w^xEHSDH9GdOlRmj# z0{`5751)u6#gu~=>Hv%jX~Cb#jvzR?RB;IZ}S*X@*&$8QUUp{eZY zZHxlBKIFBhl@;S-oqRA%#SZNfQvCy1VA$ND?tH)v(VJ7L{O6$&hZC=kg`+5TvAytf z+-|6?$^;3zjFYXUFaM>!{P8qO)Tl-WsE@#ZvA#~RD12pd#LNk&MNV zs;X_<;c{Nj(~;A~ocpI`JiCT*d~BYw)|EJ7+S3n@5ix1pQZCSU1eBeT@)e)H((b)% zN+LlUkf9-{sY>Yo?!--}yD6h{eHfV50NE28xZqY{(t|U`d1FtVwX!gH0m9Ft%MLuW zEau3LUs}ySs5PhAJ#qWhVX{b$!oW?3LiIg0@7=9qu1ow@+cK2v7^8gpr9mpRGN_hV zxv%NG{K#84J6ctvz4|ru9KC`l-SngVn7iZ;i`jL%mg&R1+L55TjcY|C=hRM~_QOJ^ z{~|v#gANoh*&xjz;nB4R05I#!q6IXa{jbO;P}pe@4Yzxxk{k`|Mh6L%fvy$5XTrdq z*yJd`C@Mw?elU5A#CBFfhf6|Kk!S@1${Lph`Z=v?u3q2qw~N6%nMHR&(u1o=tLx{7 zHSinw-FyLF#Ne+X7UAOW4}#pKGxQqA`DkouTfW^pt~|qobNRnCJxbx>_kFu%nm{w% z!U4N|BC1Cy;G?a7#_j%CymHxJnLn+v_$6y;=clKOq-vXfB}t}RRMiFxeqfJH)>uLn z7b#bB#p1od`S#_^RGr;YD+QsU_J1q082Lj6KdX=T=*10IN%(h1>pB(VIQx#z)}EJw zE>>T1dM~_yuf<%t+E9?bSiY{>=o$U#wH^aJnKZgQ2?Nry$d{jNkPT7$@YQoJ@8aoe z%eO98VV{6GPPwx*oAFO$V6Q4(Jf^yG+Y0=?XD5)bgL2${OMbN^`T*y$0G@6~)^K#_ zgBd5nmXF^^QNRs?SViRa9h=WF_}bBry58q+>HRK94Z`?okFM?2TEkVAm@m>Y>b0M0 z)eN9OaVsB*?@7xDq5lgHeYr&Ne-Z*y0s+p7>7{?ZSi@BlJ6~((Hky;O1Uy8p7NckR zh3OaF{SvszI-qjM-|c&T7D+QF^=-G=Oz*UGJ9Ia;*)K{E=}7Zjr2;R`R;8f(vY?TV zKifoa`!T(%vxr=GOZ~+!P#EWaHrt|hknMl2`38DkEB;7Udmyd_y#%1fJc>RXa{dRU z+=>}M=Cr}y9ajF%OvXbC@X%`>D9z7>5=c-fTLd3#nZo(Zt0fCOmD}oZR zku=%8x7pQjSTuv4B-9kdBsn;qJo20oXxmeX>PE2EdTW7C&-t*Gtm^%_65Dp%?+{!4 zJvn*yJdZBqfanY2q_FhS98-)N@@&-~wz;9O-4=VRpex;=h#x^#*I)=tC!OzXGYI(2 z9^BLaTu1qkb?|(pRJRbu{_@7DV>oqejEZ9)Tx8F7m>np=Ux&HSOXCi=d)BqR7^80K zh$A8DCbuBa&dx%K?Vm8GH$&%Hf64?K>j`+AmeQ0^#-w<=Z-8z_H8Fsd z&d+_NPWPnjhD;^WcPG+B)baZ1X05Jz!Mzns$`14;9d}E%FTQ!@oq~D@?g%1-iyS8$ z50ZLNcp?oE$R8+-CW$kztwr)Ao4xPO-+zJnZQZEHMA6o{o@i#(Z32qyF%ZH8!|^~g zX6JVlg&*JP1DDJT%s|9fNv6}>TTtLZVW}^E&x__XwlymdEwFRf$x~^mW>N(`&wk`-T=( z3HP7v`s+J_Km}EggKAs(Gnq97*J`+DZ#&5Mz5sp=Meb>><}2{V7gC}@?vSGPV!z{b zwfjC_R)HMQ-d(@g`0+HHbLQl6`~!L^9|XKS(U2&VTkppc{DJ%%jq87r&%!|#=PN`u zL(|9SH;=u!SVo(W?r(~{Na4QD-3)cAgk9-rmU*!X_y+nv-)qAc>GBbHHal!|*x+C# z*e6z@Tl4W^5h?u~la_`-`J#JLJY2e2#W17&RpmU=UgOAb<(*Q<2_D3*37#TA0DfoJ z|DwAm`@fUe6oD&lp?lZMakt=kn0k+`pOUrlyvP?8*B0d?a8qRlN)p7s_7HTT4pH{7L`_xEi`x1xscmG@a|} z=*s*{;DC51ixnI9EfW44PL5l-Ihyo2u#P_6x4@S`abN(+M197T$YA8!DR-uHam9)|@cuXWIH#cTeWA9P|F;&&!nAX})OXqO8wP^R?jnl206MKw*oNv`d+8d|YrCrjA zR9kLZ)f`VIUxis!LT8{x6d5Kyer(W_qE5Un(}$Vje5IEV*DBdwv@H8?%aR9Njw6Az zP`z<;L0b?(%qaXm&@rSD6iUq0amx=sYKY;sKCH{5HH29CTGoM>Lk-|WgZg*)Qb|mz zU21t7{D#lKm_)Er2oAy=T8htF2c{Liqm5{tf*NOL0W~^R0I3SXPtaHr9LlQS7UcY^ug@!$a+A)2ZNjaXY1RwT_+?p)^u{-nf$IGa_8GxS=HT*QiNb`BV+YGg-Ha!!b8ZZ_I@xG@j~ z#Qen5laL{*=C`{G+Wd2ti=6;(ZZe{eOaWFdb%EZ+5$DdWkZ`bw6K z5(D?z6yxRy;4tK5XOobTnHbcoKLu1~sn($E)h&kV%vyb|Eu;g|FC%&3AwxvS&Wld2 ztw<2gLit=t?fLXd;XK5=%2v>FOp){L$TCUxJg00~M9o5_H~S|GU#G?6;ra}E zxuYh0xL|;UvFO`3b5@9NOl_IfP)sfE=l9K}2v!73`taKU&0TN}{Edj>oKMwV=&y`p z@xwg&ug3BOEW`*9u?(Q&-uA{1eRM^r`S_c7m}UA`(Rz4VZQNU}XQ8@}CJ>0DcGG{c z#scZ?0}4TvomH-LyTj-O&MR8QimTeYzL56oyZv>)0h!vTRfYT00nECFmR1#Tv4}$= z`NH2cOrO04VyWODF^i*)-)U8eZJHw6qGD|qMoh0y=Xz!Jv6W7duC9R^c(GGr_BEF84in-|06*eRGDbg~Ua_#ty6MdL)_+ zQ?xmKHJ^EFqO-r^d{ng55?dVDCFD;}q?L7yu|*}p@^V4_)&61N{jnX5bJ-G;oY&0j zu0NiEoh7K_SIsW|x)UWJ3xnrAVMq?Q+&@I5N56dY&(Xj15L7rjnu z&s2(9KY(gB&A?8cK0^6jwJen%WEo)ML2OI`P1oBB^qm|C-g&PJ>bvy@HPg0H9+l~Pr`xVKmJTZ&=A!U4oW2q zwo!KFHj$ow`Y(?4FQdcb1Ji}Jyy7cJt#y-fi$E@j$=Ang_>|VZtUVnA$ALav-NJ`@yj~pFm-Vh-5(6h%7$1D=!BR@#y zFITVhQifK|9SI#|y$WUrNE#gfH6FFRnxucX{NiUW|)qdj>~jRcQ;ex>h6v! z$261EO!wr~-Q4&5-v5Am&iOvi_mhpg6&7X7DIBGk<%NyRV_CKL6&hkafIk;<@;d;B zyup5gNC3zx48Etu+xW-@daov@=OiwtjBt1ADD?DnIZ^078j}yGpZ-oW77g${$$SCI zTl*aj?qv&s&;p)xinnip1D>SbPrYUkSzA)!(dLToo}NCH0?IT`q$Y7RWfhudwnq_z zwf?wv+ig^EtKgO49ylB4wd?#;n?5-zh&OGPPw{@5FEic6-qP|D^w-*IwaK8}n*5A# zpcf_V;v9{!qq-3(Ewr)N8G1u6(tTWIZbAdAUOK2l{!2%FAe@_aa6N-ip1J9rdVxIV zgv?SDPgP?X2>$r!);AhK+>@^S!u!8nf;3c&!63nSB% zp#z+&UMrJ~e@{N%v5#`yHKmZR5=&|CUHlIg{;6R(m3+bF z^q-#nP@x}t?#9x)fnTB1#m!HXnI(X`B1PWZgQau~YnHFBc#2W-7|m~yy$X4oMWtND zxOxQs7Dh0AnZS1eAUJ>A(f)PZ0!EyO4V+!`4{oI=k_$gg2EUL~T?fO!qD)bL)|Z!g z8wv~Q7{39=p{q3@Zv2&f+i{kE2P!E@=8elL6V8{(Q%oT!XlPY|Ns^5fv^sn%Ztzd@4ns_gpR4;JPcAe2n zKww8Fp6_k@0#k+0hb?tkKXko7;Q>4MtuGROdSeb<@MmBsm2t(;R0+1CmLH=eGtt_} zrYwM~j6xOJCB}Z_$t=waT~)ScjMvHiD$(e0E^VO3h5zUD_u2*e&XdJr@PZS)y|hx8 za#R{vpuz z1$2lF|GECY7@?qh>)ix%L-6suYD@Zf`8LmiuWeD_^DnJS>`c!Vo8k@y;g_f{?-s#H z-6%j@vq7kHpz)!263V2Z1ZEK#SrmpGIe`<0J!oMgU*qYhVWO%^_kN`7NzphC=BoEv z<^Tbx`U1|pmX+E`6%`d=%4=!SX!=LfdW^e!c=$Pve4sTZw0!lz`uoaqr%JqWUS~wwpBa(S(LxQCL`*o0pzt^(i?Y64~Ae6^dc@OPuQJmA1!Td71uEJZJh`xgNRq z{XKL(3@O8IZdd>Sy;``3XV43!>{eY1v@qd@)moku@(zF1rzzeaFy~du>PHf3U-D1g z|2gQ=a#spIUH24qhg?A~k_GcyeH^}O1`D7cbw>Xk0NK5r6+W{@xgak-+<^eEwizSd z(I8uoVl`zAKqmYpRGWxs%j=%u$z@asOG06vI&5vnst6n*s)f%YRJlB)M9kX*EEKI z6(dhdh19aE~<$Jnowo9Z@KjPZbQUwQj%}w;;(RIa~9U_z1mm3qZFNz`hPQZs=Q^P(rlTOAN)rwH3jH@r!4x z#3t}5H?S=)Ea08X6Zo700=;$*U;_j!mjKQw!9C!~xxq4IBxM#?rWe$ScvcAe%PQLV zlUj?tuLUzbtf~o1*towg7YLjj|D`JN%okN~>UZk%R1=owjQ`=ep2fMf&#R`$!7XZ< z&(8%CtK&oa_MlVG!gQ{qIiua?55nxlB>|!T5ae7>cFEo|CEAbsly47tA_w*9$uJ!pABR$xi&Lq$+Ku}PPjccnn zGfRMse){YwI>6F6Cy*K2EzEO(En>&{ked3F_qJ0gfw^K%?cc&2b0)m+^ehA z`x#r#pjpZmx7#KG*IYUerox!W@^Y=P`*rr>gS=iBCMvNbr=;l(%Y)XJ&l1d1z@#XC zl4yA~AX6C?Oo~!Z@nbM?xK9sL`t(28^R+X`qvP?U4eWovLtfqng;k)rm>v_0yr1&q z%zxmV95}v_RohaA^vOd!bEEI5zma=C8OUkI9mo{#lw;p7p;Ob0Hg6+OhJUVCGr~3E z%T_`7uw4nH$>~S(tvQA=Lo{gzf(e+BB?BALg zJ$DDU>TW5$ZusI<4mYW3Jr&zTC)-8h;1+V0ryu(8;{g4AtZZw=?c5xZXoRT7#ag>b z;|-{aDS^KV(et?-+jz_RWqwYG1?foy4Phzj$6mau^&l14L<%Kv(@}^73qn7Y^6COw zU0vN|*Ic3z*;H0T_w9*XRlGY$nm(!ksPN6KfQY^GDdjFPf2+E4 zsk?Kl24_cCRO&>LZD14TAr~bSOebr~Z;h2Sp&EzD`P7-b37P9`ZYCb&2I>yGOHj<8 z9g_W@wy08ba33PzXHHf$K_f?jP5pfWE+=mUhhIH_0R5=iT#KJH3_Jo+|v* zezDkKDY&|lT*~%7A+6(a|{0|^d#ep%+ zghhi&X<`Yp+babuol}w0eC$?q?pU$Zw50+id80gyJlcR1*CBcNc*GS64l-yNsc7vOB!0L z7vHf&Aft4v;R=L)`;WEpuBI}emn5j)=*_w6J3~R)+sk@y6p!pVBIs;Eg_&xrn?$$Q zci*4^|Ezh6MdYh49E{M&i52R`s*SIvqh>rNpAtesc%7#@HNBrQI3yX7OGW-)^KG47 z^)MQ0&g4Ylb*j04@bv@oA1?^K&h_}OVY331mI_IYrr~?q%_5gLsT_;ny3Y`!BR zO8c$ofaZ9(UKBXJM`$o};KG)%8|}%*pH*u$$Q*0ZcT+dCiN)cFU}Y1ewzDwZ^(lZPO@rKe>R4H1=w(ka}GYL1%_^STB0Jc9Pe&iHvO~Mgu&N>oVmjiqB0>Zip`r z>GL_w`WYQPWFQ~7f=kbl@~g?6C%sXReE>PN>d{+xM$n4oO%l-(^>6@LtZa%oAgiSX z%o&_LaYFxz=N=y)n>(eDM1#ldhBs%m$nOh%LG3z$Nm$T$cwP=ta;>#P{!|6}w&}?Z9xkQt()I=g+qb8d)a!5s0!f%Ee);^N zW1cn?Jd;uJ_wX9P(0V_{a@T(Rm`H*3im|Vw8Ww{b-X}48@!HKf?(Rnclk&`>-K#3o zoV_zx&l@#}@RjqfYP>NCcGWO)H`21?Avy}Rp<}$>AT#4fjiM2^S^ZC5Ifa-V#J1lc z^y+-;OZ9BOm0FGkIEr14tJ8vJ|A6X!AN`NJFhhDL7Ah*f4maVUKzJh*632y%Gza^W ztFn2;%{snJ{5MuG@I9#Q64!hdrhz-L3yxheOKMUQf^Mf&MNLS>8|7u03IRxi%SRoZ z4u$>lWB0~jInd4ip1v(m!VuOly;o#iam?f?RX7z`jBwMw>3H{3=CTUbR3upB-X=zJ z#Vygm_8zEH6c;~n6;VUFxw!$95D`@VkzP!+K0Y4giGFXTm-BD^x%RzIt5I4x3C7$Q$TjqsKDiH6=rZ|NeiZNTAa_0Lban=_uTqyk{*n)p&g@|brXd}PTGH1^E8COrUOo;`FUEI@F2;UV?3 zZ2~s+Ghr)#oLta8MvnwVm|*f8WneO$Sha4SzwXbd*{tjpHqu8$97Ll5Z1Tg!&@{t( zmVtxh3$!5D6z;5al~S`{aZeS8r?z=lOCa7_)MIERV*85L+1GdF^wy^XXxZZ(sH!({ zE{^;sl;o22ab0R?u8+mg;7+F+2;(G9%rOa?L6;;78u64R>goLDQV2;!uKPg>@{(P5 zJ8an$4FKAVDL#$w&@x69(3i`ovwe+E==YJxEFMS$9_jGAT!R-wL0Iur;;~>7OAyx5Lz2kM#>46oU$?OT#xI^Vl5pWgEO!TGmF>H9 zY`&jv>2DFgG+`&L>2$n65-F=NCT;fF+4>aQ(7McNUOwrgk)Vzmf~AI))_`0$>Kd<8 zgrisRj_YGzWmd)R=LrjqJ>S{NS6;7y&KaD=1~rHde)`yewFt~zu;W%Yh3+JgR&2b_ zDQV9I_g$aUB!KSpI^%rOK1b{8g5=YQGBH7;nlC6^AuH?;gcuW77ofNJ;rIx zVU>DK^m99-57E)hc0E-2*K!9Z?ehyOK9ZR)gfFou$NX1h!`vZcd&9q~)KrJxdqsoI$O&<%8l4^Z4Q?!#ZVudDHZdirbf!@BWOiPsqPfBK}t!RT3 zWo1=*gBqxA?e3nP!ma12|IFOkNcF3I)7Z56Il`e}sS^Mrt%3MnQ6C8kkSnv1|eLI#JaE{~tRkSVI;c3=SzxDN8$((T0z zi7L4WWPX=U0}0L~mP7(;w<0k{c4_Vuj8!4rH$LDkQ`zgEth7U@71o=_r4uITFlX#U};Eoc30nFik2Ho$k?b0o|HU_eBQT+PI^ z)a>Vx`YMxIy%+|}&`_~AgJe{{CU4Y4kOELf&(?hYKGEGxpf++)OO`E%>6h(sX#}AM z%4FrqVC(mC zb2HZ@4&NE+zt1F(Wn}!(*=iU$HXH4nj0XPVqJLtdft%u#v|Ys?z8E`kNSs)?ENz_IEz}u|FHRG{n9p;Ng}Y% z32_*=)h}nS8zcH_NWVvR+JQ_M#+Pq!1{&E?4W#$%x)>&oQ(iK9)hXO1i*^^Wnj^tl z!i_)B%F)JEe0<(Lt%qF<)XTLX193+I-Zgu0PWZ^(HL+o^NVbP3)}USF_ISrcdn!|u zO_TR)hP99Xu4vwL2wKE36DJItIlYHN;fHXKnwuvF__D*L&Z(1L@!!FbCm%9v4T8lT zEP~ol$<7KwNzCWsx`C3e+ULOO*g;dFRz>Vey$8i+&L<6Mc?FKz^FW1bK6HxxQi9@!&#(ji}EnH zY?r_|oCA_}EG!(~#Hm`yo2I$vQfbxn< z^7Xq{d`c%~z$yeNlY#jKB!7+6^Aqjch4R}b@o<3$Y1c@kpUG_5pMEz!N23uSr^nw& zXW}YsP-(;u&ks6WZ=*kQN~aO2mkexXjfVr)*@C;+ZHHbym1(hT`|G-e6M#rgc^})!DNw&s_D{K?+UDUxKQf1pLf_be8n-yUvlt3q+=>d4iIVDmEwGC3e#($>iC z%;w7+!!t+tbOIzEiRTCady5-B9l^W}_TR;_*#fqaz|r20`LUm=$L334pbaC3o>(AIs zFCo=N^n7Bc-2blEL{gR zRM38F(2FDxuXuIk1Jlw>v&Xq|QZyYgQ{l)@u!EK>pX<}@4K@3!|y{grK_bp_@y=61HVL-XN2OKn*|GooWZW+V-~!jrO>_Q#UVv*a~34AMWFa;jD%a( zicAiI%-sg~hop)u@I}~l%C#glKkHh(^e%5dN2`f_n`4pY^+IfQwzU)DXUjhr5h>GMt`7c`-6q{t8E zS}RI+tq)GK6!-Rp>lr#f2p8*6WL@=c58A^@^@etA>lP(2|4`eo&>bp^M`(? zei;@K5tohRc(#BDlRS0+AU5c$S_%Svr1r*81Lo!Dp|hCoqB%v@;+e&?79!ba^MHe5 zqgaMsIU860VFp0nN?Sogz4PpZbdAH{FX;UQE?oH{X-z+uj|*{8om3q+ayD&I|b70Lix7Ge9pmu90X|&H_2D zZ>Ef(VC9ZubG?=N@5oRU7+J@gizgnqWb)O?FspDjk@#SlT(SlQ&PdJ{t9_8hOH#p? z+B3shFfrK{@axYy(a`LZl8cPn?q_$_ix8@mHdG~Om<6`A^wlKKVF0Ho_baB1gH}W3 z0?(o`HwO0s3KO~VarP8%L_)R$XXAo2Vx`(i6P5M+`Nk5=crkb%7>rU7uR#Cih9}&EZje<}w0U*GWd=p-xn5r-;B|mu8P`5oHT44g zIKcaWL3FT*w_k}F6&hnS;+mtM|HgViVG6)NXo8jN8Y`@qBCz~YV%$2>`V%$Y251_L z^=@gTg<&Fh^KH|2kWRYxv|8YuySZ;eI&#lJ1f!mEmz*p@I#OdnO=PttBX}i0ni3-W zoQ^u|98Q5S+`DX#wXymu)tBu63JQvtK|*|BCJ1D{rKAM@DT{_*S|3ztgzhQDSKc7B zs#-LxkPyne^BvW*9hFA}NnR%SH5oxeijzj`mJnMfds#+o(KQ4EvB(DNTY3E|1TkL95BPDid8(c&IGVL|2ivr9eoI7QhRzvhK1N>jFqTdf6(+5rR3Gr zyVk!t&#+HjbAM^F`Lcs(nXm;78873Q(NKK{(tQ;aVkb}(pnp}P8;>4xd~?@g|Wx9te3 zxt#>u*WPTj`uexh$S`;hMhrJ#J3kZ|;c?|J-$tg+WnQ%Rt4j;S)eLfq5#14&mIYGF zV6ID6d*O3P);tx%W3<({7N!0%#yqIg6;s@y# zJrJSed%NPuaaVqN19NP0O@G(*ZSDJYT$7Y^rNB$yQk%R3%xkYhpjO>~Iv|B2`vE*A zq8nXmv#{0XXiz!ZLJH37`EMMCGK*!aT#5q83i5eP8P(NefG=W0dzY_Wzkcakf>B}j z%VtqMe*Bx!Zx~J#wmv~AGL23jGP(FTr$1w26H@b#iW4Dd%R|@*yNDoKH*-15r8sYFk#aZ69KhiVV+McGdq0aApQ#viz;Vj% zCs(bd2q`jxI@sBX`rIgG-f&E?%#Yq+SXYCph@?Jj|6NH5NT%+ibP9l|7 zzai+w1qQm*7DLM%>2aKgdT^I00;Z)@Fltrw*w~m#DdB%TrQ?8fGD_}2FtElZvPn`Y z7d^o5*o<{}rt}HMx{w1frPA@YM^`?I9-7=fr2#`3_R(4@2!Q(xbE2y}`FHxu=U%~H z5IT&CF%b|7{w|87prX>QKKeW=qs+oSzv(y>aIGrR8pscreSs--PSW4LvCuT9QmVnj z$%UxHb5%bmYqVp}0Pp-FaAfmI{b5fP5K@-j{?3ro%gs_!x!D3F)nW7Rn#?xur;MFm zb}wn?E}nd+FM0MZc%lj}&#~MI$1Avs+^2t0)u|epk4k!oS;|D;qqb7XZ_6R;QC=e_V%5`J?nokwEAoK z1t*+GtJxhrLygf_H;j;C-|VZVA`7PgO+Z;$pZL%hUJ9H~g;W2zO8ZG%;4gl*$523g zqmVYsWn$HUVp=S@B(V`K9Go(XdKV&bhlDN~Tc@=42uQ5i+B@m>R!IO8Ddk}rt1pi; zlLeKq=)RQ&v|%R;Z#=Y*yF?RQ&z(ApDMM!VLh>JfCHvUTy&i$;SEO zj-D8~qQ5^`Kgls;sTQw}RSqZmEhe0;8d0|~*b&4^$>v>b*miYr0JX|rL*Z%$?%tfy z-b(WcW&Ya9{tq*`9HQ|1z1-Y$^gQ4QVH1S|3LK3S@5}wMq>59f`weda8q<>3C|}ilFBR05*fJRYqwFo?ezj=r zi_eUsv&t@TZ4bfc4t*JPLbj$G0od(_fGYudx2!3pDjNkR-RD%pS1Msq4l}SX?+LuP zfu6^B4mxljnf0%O<4yH13-q2K`aHOD;(DKeoSCHoR zRg$u1@e=Wra)!M*d)Cy}dCJUxTgJcfgp%^{n!pb1H$}AfeY{%}dJysu zXViHqwWf34mg<_!YB(O|m{w!mCXgW5oYjbHqnt-CuM>>%a17Aa?D|{hfD4s;59ssd zwn$%hR;G5WW{Q#)Wst$|0q*a%14CAP*K0uP3%xuL-a%@RZy1(AezwVgZ=guilI{F! zSHdf&fut7KUy-kA{WN-LU|>K>eLy>qsMV_QC7JU3{LK&hO;QJ4{9w!9VF$5l3s#So zaYA3*T8;}-APx(W}j3=GzZ8a-VrQQtl z>rhCdY0mB1r-WGA%o65p@+ZZQ_2YQ8XOiTYjT;4SNF|Jz4l%BpoC^kbH5JtUf0)3O z`4wF|Dv{J`xyC798LjLwq#dj2n#QH1BRkypn~=NCO6S)q!6KNhHxX>U#@B&=kKHF; zy7^bRsvA)yw-~ScTG=VK-Qs_y&fuXqk+#p00B%2*Q!%qR`{v5nL#SWpfUQ4JuKBM{ z7RHYCJNawwrLY}|aA#S@d!xnQ?TA8u3Z5j|6??}&nKb^X05C^m(1ws<+pZaj2l?+M~XDOstb^{%y|u=}2*?GK}mg1dP6;070gt%-%%( z;r(#Me93*r@luJuJV}A4UZ_kHxzU@UM}(9&CITd1K=3%+(#5-QrjPsf^VW6naVwF~ zH8)9R7wzH@g>Jk|K_?>FVYr^B={r(CI#V#lg&4}7wZ_7PR22iPQDA$Auh)vBCoXI# zyU$8li|;V-j7izsWFK)=_nN(rbD!^7TdsgB#OJ>l3F-+=86`UE&C7Bp zj;^N{qR(BjGCWStsaHg=cTAX!zPosZy-d`{WFA%rypT&`dhN72C`zO7kJR@VPudA= zhKPuW*fi-aEX1Q=4n?@>1~$ZVzd|AUOZtHegp%#uK{?1B{7DAck5z$ho)Jl%&O9oz zhk&Sz?{~R&-cR+{GQeGP{t(9MQ0#ns-~(#EmAvyjP0&bw23OAJkvOK!MgMy}osHC_ z0M~m{KA|FFDSJJyfpt?l(P5)_#nkmPTTqyEO@M2ne;lX$s)BtjYU|)bom0|~zF0A-HaYol)jT(D(cs;o;`O=@`K)c z`-v?fflG{@uiuV3RA)v>W?+pnMOvAAKLlyIlal9s&$w-L!BK%e;8Ei3F9{#;#<{dr zA@qU7y&eA*s}CLGI{joxhnXYd28tIlWl$+`H}=-WdkC5{l1KIQ-f*3=53!YEv; zu{^oJTSiS=;os5-JpZ6(DOac}nbCWfacf*LHPUubq{uKpi}9)V?;Z zQu;m*6u1@+1oS}|4q+EDvSNk{I+bCk(PBYtNI4kVpYp z^q38#iB14c`|2hU0dHmE!Z1a72c$~2fEBF!Kugdh=__lrNT7?cRAYmJ3m&BOaq{4s z;1dpBkryb)^YaL;dMI*Lc_gUdx9vVX8!4FrE)Cr@Mo8yp2~->ktgj7=eTSZ6U&B=4 z1+4SWT3!uw%f$F!{(MwmxFQ#s3GL;ShirRwV!bpn5|pg-_+*9GAhdKH2@~(Gm8$+S z7YXr)d2h8uH#%bkT9lAQ4^aH3t#4{Fmzp!n&VAt^AmW|t3N4nQ0~jox0f0BJH9Ya! zCmquX*b?*)8T5YZOlAH<^IW*wTtw4DLn=;X^@}MMvTKw$qnX!l?j0I*r68Yoq{!CNxU;(Me|DK5eu_<-#LLXw7;*NqyIAF8H~PuK5_;(a>RnP=`Z z!L#{M;?tf`MCvFB@IutH0mwEWkSo9{IR~TX+t7~7APZ`h)Q^bW_yVq>*x zv5Vht6WRhJt;Xd9xGZm`?whj5TL)ZAS(i(0(8^zT zC=>!Tj*APxRDH9v+xCik;ME(LecIgEFy8b@?Z?`GIu{Z2<<7a@HkAKNh;LRn$m?Vd zohQb(RW-wMr15iT^XsMJ_&8z_y!$3&-rDFmxyx2}bgfq~g+pld0D64uYufb8;1iHM zDRs0JEBhPu2ZcG3QTbko{Q-|@RGjHwX%*W3yDXc4U_h!zEWQWmYyMk08xI&+$K}2W z%ndqV;X962w5GM4eF6_Kx`u_zA7%5wH3;(-flY$dJUj)XdAbHk)J7ybnDg>psNoM| zU7MV@8WF_(=t}@3in_C-!%u|IRv;5NFxV9HcM;?)s>^2~LUHCf1Z$q0YrLF~$7w+C zXR}(pEEc7ni1MHZa zC`e6RXZr(lXqZ7wr979|eo}^|^)WMrbvl{jpN?6#<}>dhF6g)A4Et=YaiqNAvTZEm zNy%PnTVys2hgSd!xS^IVhAoEf3^^Ym>Yk6?%3;PLfIzcvyiD!Ji1d1w(bYgk^yd!_5v^#YfDeF zh2^QN+Zi|Y*UiDMf9or%!bayYS(W0o#cK(Kr)f|XC10Z%J$|ds|7XD z7K}UY{v#A;VT!kx2UTARc#qV)32AcQO}vxXYd*v{x6ZI}IbuL>B2$|Hu%3CFVW8H^ zP#5U9qBF8}OyFqD~$l+-5&K2unDSI%emfWARI&#^}+3YX4kNxOSjh{|8R>1V9KIUr&_t#PR?-UphV-|!x zEr7{Gr9m-65dj6kbPDuJ0bTDk?|>3xqF(jx$EPyn5T@~}y#rEo-@w&3B4Zki8@+q` z8rV$o?3$WH^ONkRh^^slBgiduq{P_RLv|X;^zF`X+iwmzL{TT5O_d6#TBN?;LqgwT z{8@-5=2Rp8u^Lwlq;1#A!*+ht>_$>MZ$OR_HXM1+C~F3p@sYuvwq~ib_^Z*Xvk>#dV0s}%i?2%1 zbmRWD>i4Db(%Q6K{)(>%Mm#s>vT9y_dGZg0^i*AO3Q^gT%TL9hO0j%KM-Rwi84F=g z52vD%I&q~3H7kjy90lT1#L6x?RW*e*?7y=Wp)(2j%Zti-__z-5jLa)I20!(K&wL&J z5+=Ye;gAnE`OY{t@+4IcdG&?-67!fm+@4fP6WK2egSh&qsz$ z?ChKWN`R75hI<}mNvS80j}C^P-l~aySGs zVJcm|$*%WpuA(HI*7p6yvcdCi+_7q^$D3+KO%(IA-zMV2^;pG!n_!1AKW53_-41Ci z)gGx52D_G*sp)tm52>S@3}Rwi7$rnXdSCW52fo2f4%8{+HxvZ4LvI~Q&HtU79kuh; zyTX)95;go~?$|`7&~o4K^JcsJ-mIOn0svwFkOfR6AiJ2}Z{+3%gGIrsIREsR*vtXS z9IN>+J+nl*@d?AWk~H<=*8P>+wwEreV{)U%=c^#kQ@0Ikior<}E!2nhf6^#Ff;+YC zC85)Ifu#R9iW|lj$s7b_$OGhK=Gc-Z_7VZ_dgs%HVjL%FeWWDZmmRe;hCayrUzRN& zSt-5GFL`H-V_^y$Kgm#@9k?0Khj(;X-NLBk5>4K0OlJt<7||+QB`P#j2B=sED&4kNdJ6aJO&9`v*SkE@-?Zp}ZtX664W!))Ai zsF?9=?*6fLh4vct=U65xI7@^%UpS4S1s}WPOwZ~D-l@kBxUg6$%@gI#gunvlTs5zb z7I{y_>P@;2!YO6l$IL&ZI&dy>d;Ff)nK`Zdt8ED^7$FUFQx>XDSv5=h8 z%jf+mD5^oGkjvTouNdb){G>h#Z<7D&F<NU}_c0#IQC#{^L#ideCP$zi6R*D3I&TLh&oR)&G?6|J(pDZ|U=R`UUX-&bTxjsNJroP$&O;Rx zB%^{mL#AU4SBHEv;)O&HveQv4ppkvH;L}V6@uJngta}w@t2y+yl{-~EB72Br8dIK7eGKfoBwycoEC&SIYhwVdjV+RxQMDz~^? zEh*t%o)M84R!w>UC$@e+?g7Axo0~Kn{R~(n@a>dKAQb{1NED2OSibUL%EjAt$2GrK{=oj+R32x*4 zPQl?pFj7;X;(H?!$d=+G>vsw@rbnjsIz7Aw5Zw;!X}I~&mr;08#Yr~3Jah6KEc%wM zXx;fwVTEGT)t(_ZKb7Xv0e;-oF-M#wxPn@l6ihww@pMoPpkP#kw>)*t%giSeo}Zsx zn)bS0=HcEohp9V^dULoUxmUXTr%ymK(2{K<13DboKS{uf8dNJ@qLd%SS%(F?hfQ7w zs>)OlQSjbKNV4xasutY}^bE1&|3NULBeAE!-1Wj)#$Dt10L4oHVo9L$Gko7XmYlP% zEG3>A!uC>QM*>~|g3@5((?G>xVZb%?Ww!V7Ke?Ev0e`f&W+Fl*x~r!rpc;nn{eYK7 zQe4M*Kd-4u+*`wpo|Q~v6KYALi4)czUL4r%a0Ni4S@z9`nmLt1ae!nJ2>;DFJD9Dk z@I!-8DPVWARCVnD&P1;qKsED)o{I*org?AntSwIJ+=Y!_fJg0!`QZ}*<2y0yg3mu~ zJqb80s^U0HTtyw;1_B1#ZG-vT)RdjsP8J|2=Xo`34+dw38S~wco4zbcJX#h^Q-bml za`TZR0<|SM-T8M2-j2{4LrXX^O2dP)178T0<+ftYUP$=Q{WgDIf<7<(s*&JiA8mCH z3l&vNeMcDFDTM86{?6$4R)wa2`d=e{QY&9L&&L?|dz+VbwOrw_mor@WnZZ1ithxr( zIDg7~^PWFDOu-!*wmM{6L0kBG%&lF=p_{=pCzM?}=`Aq3Nc+65mz-j}?Ka9CRmWl*cFiC`ap}2o7uMFk3Kr-}ERgt-4(@cm|TtFpl`{$Po zBSnsFm$nL24t;ZC9dFG034JNn3eXpGzvDY31htkD7R^$gVg_awkdBPpXfSKj2OLxm zv#@!R$Ei?1p;;XAVM!+|}?Xivayu zLi`3UMhtS@(auOJV150umG%%5zVGOk)c46q4Ldx45X=zH_|wTLUSU(@M+DnuBV`gI>Cke+4s zTYqL2qMo2D@%HS1EKm+5z6uVk(y z&gp|7b$%s!EIzee5w1W&+zEOer~E6Brit6dEjVq6BECdpobfqCNHYFZX0rtc7gzag zuNE+r#hj*sfbc;*;1Ug_<~ljzO7Vnvtox;g#JvLAd4L9z57GzGLU9>mKby`r79otB zm(}0iI{a*P-T9LipyBJ9TAHi@y6U!Kn;#f>^`pnE`VS{&D{IDznF(iiP@30h?Qhp$M|MN?L4;{pSJ58ZnE7`mIjGvP6G0t;wpW-8uOJGXW+Y(WKs zflI{sO)Un3QcNQuR8D*_nRcvlN@8?tvm*lZ3@Y|trZcfgyqA-c(e+4Sl=2u+i6^}U3zxxp_VM+tE1aP?pPK1vS z^Uo9Zs6R@Z*3glCQ13_|MFi>%w<5^YWSbk z)7wP)a2_1A_(*AWvu{cCb&*%ze$O4Wh$zOhH`#*U6&^NwZ55&(NOPZ-+K4)9q8@Mi zv9uk~I}E{(DU)Hg2^{T;`d5k~fi7X~tC+VSKW@Z3ycd}%DjbBDLl&pRO3C6-VULU$ z+VZ2rW|c2w>U32zFuqLXC~r`xC(5J)AKBI0seQRz2zPitf~y}W?cf`eUa1>ByO0*I z{k zzhlSJSs9g&`JRrs%{1Z9(&wCyu$O$P|dw^F8YXQMT=5`NGg$z ztS3Q*yUEceQVE#L*9|Wv&>>8`JWk>UqbJU9i!3eBb`=YlmKGO*i=RwiJU^NS3PZE& zBf_t#pA`Q@(5UPBkqhZngvpYxU9Q+wk}HgVoTKY}noa4p@YV41N=56CPL}W8ryGpE zdG39`oxBdIr=AraN5x2rp^9fXC-H6(#{MT1PR~LMcv=S1{;L&z;NW6y&C`wm8-_2a zV^za$AB%@b)$P~J!G;7g`AF1;r=Fq~qGHot2tJ87F~-x!>{qNw>?HgcqniZGzk~m zWRN$vfRWAxHqe3$q_HGjWR>-06F`O~i4bJvSgi2CA5^W?A$x{$>{9(CwM1G9!7j$t zp!Sr;ykVY+ZJIv6O{~rTadcK;QMPLoo}q{C2I-QPF6r(D>26T?k?s!Z5TsL(kdT%} zq`Ra+QW~UTziy5^@G@q;c;5A_b*~%xNz()(5>j4KqKcmAA(M52V?+)IfI`!LUGh39 z>+hY<){X+Bvs5IwIB%SOJ1Kt9I3{KGBt5X?e3OA?{{;QpE6YiYUh6P%YmiQ_&{NzR zg_sP1Pv^V?FD$^+aU&@(J9XmY9cX=(k2inGH?8=Q)HN5l1oYGSjSr9Sh?~u8*>Xak zzai<^Mnq7cwQQTE0hB<@mY1t5mfw(XXItCwA+PE>cP3tZldLDc`cD?xf()>Z3GbQm z9Dd!1Or@75Y;f7+U^vZq){*#&>Z1h4=}<@4p8y}Vm4)TRU;ogo4jX621uq`=pk4J3D*AjQ3Au5f#f6z+p>fHz#^Y*R$R^%jbY zJNn;pBTm{&yu#2^#?ilDy2O7{Dw0m0d0W4pG9l8?q8JkSBYk?h-r?)(%f9VD$8XV` zgyp~|eC%;7RT>G8{V@d0KU}4&_eDj$bkWluHgO+ERlNo)^=b$M8dq!PJubF0^d&PE zw|K{m7`E&?{1*cK zk$dHXyKEY{7tLLDtG=0pU|`x?N8QU-`R7|{WueG8DB{_`cpr-$+SbxyAGhz>rjBGJ zPmId>M!~A=Sn)PnYd&(&*to5=nC>*QhyLsSL&h&yGV>WXUv|uK{QCvt!sL4#Ri%X> zb8fQ=xw66pyWz4z8TK$PYa2$=Cl#E-s9+oGLL;3wyMAsgpAS|3{#3!OxO&@@5io1Q zI=J>=Uw~0= z#97;fB@oFT-bX9bFtxp3_UDn@;%yZ99k@Yd^Ov`-Y!bFo6D+Ndr>EFy^~=VU-;ln- zbN7J}*{p8#0-!=bl#O*b5w09T15XDbl)+phiYj-~y}5y$NijV)l)WT*oJYbiWJWM{ zt|5`LuJ&`$FDUdGU_U`12{7DJ5#Zpd8L6La&9Uwi_ogG&p{5?gZmDM+UUk=$VhaFF z=hqTAT>zKarQC56T1NC>E(ceV2lEuAB-I?jDSzW;KXn6ws7e?A3C8U<7SJ=A|(bKs5 ze~%liLZjXU1tlQ?gwjSFn{L7s&37zp9OpYW*h>b8ydM|m08=J8zFt(ZVITvQ#4iRf zzxTfPNKvxEM@L6MnhW!X5B&G`W+sG}OF$J)zmDN{+cTe)s*yM#w?HTNfan+9#=O}B zY-GHiK=ZJ76{&SxHtz0tG7}XFte12(xvV(j0Kf)5cNT}l3^+yTQqb8il~TSZwrw&;U?nRuTnkg%L}5Ggeh%O2(9<11t$ zMMnavOy^BM2hgGT0T54Q9OryPhn<^QmOQwjVxaE3=7@pOQ~+1%l~0biwCEbo+;b?F zSaa@JGcU`3s#&F@Hq(Z&Q^x2czek8l;Ki{x?2TskM;+Ip1Lx-7)`0(N-^1r*wWB*f z&-w#e>iF`)!k%Z_#E^dH1Co!8ildL#zDi<)ZX%j^I$|X$*mlfk# ziIN${zi_BIOOw(Ff6v2o&?8s}q)L3AbtsxdsY79lIz>`vPYQ~t*^z7!n_}Q1-M|h& z_QJ}kN@Y+=SH%lq@E1q!wm^tB4GmOm#kk&Y3zzGB872YBHr|q7`-tjlhm#ImW>nTk zu`A!85)u?fMAO5lHQyXkFHehV_V{LE-+ivSq3JPd5?9SdYNyZg*(y2t~1KXn#y)>Ca zkUQoW)a_mqV+i;4*+17D?fZ)Br?S_N`%Zkn*4A7b4QbvzKRp7)&yEK?N*o)P!1{++ z=_20Mua`LV3hn=Sv(n*d3SEe9O2cc?dyKkV14n*-e*17qb8lnSa)+cUp+?tCk12FT z?XXovob4df#vm~Dyn6;S*7*zP)GL*x%`$lL9oDU4$+ zukVUp_e}dmaUev_TH8JUU*|b`zA}BjayJfib30vfWRe$5i_Eqt(OP`$-h|%$usH=u zio8nE*Z1dO3GQn^?(FG$NSUw}=ylHS%sww+gRI{PgRqhz*SpLSfm zGID=qe7?w6*jnf1D&o_+H@{w4SP(Bzi5SahztH?r59;XWfHe8n@9)0tZfk%6rOV2= zq0!u-o^4!zGMJ0izu{!RMAaG_zKkm=jd}TXLFo}&28T;VKilU!HL)yN0*Rm^bg=wV zB2jGe-Ab)>@@U=DB(Iuou)1lXV&~(p&e1L4c|7%6Z1)Eh(1f|q`)Ywh|G*Xv_QV2l zwD^MlNoUgqqLsx;{+fBKoX|D%Cj6}t&r&iwb5O5b86rpd<^^s5z!uc445x_wrV!-Jq=xsJ_T``CzbwKrtJHMOp=ZH7!(8LNZ)BQ; z**dO4RkBHq)aLtsZ0C9u8UHsb9dr^Kll>Uwt2Yp{+JdQ1_)@<0tf5A#RoP=um^<0x z-kFuNMtVN=DIfKPk@GhdURlMWmyjw;jjYoR=a%>?Gs_6*K1U#f)b2GwD?`-P#JKm3#fezBzj8e?0 zf7#H|mj%L~f&4|}^xTw*GZNO?A`KEfm^ll?C?TilU8xHv*DzK3DKinu40Tkiwx+B9 z=qs}3GA+WZ`kSUvU(RR!LLTL!p|MZ*IiV%{8pdW=qJ(0s_X^G);GhTQAE$691%@7p zX+z|XO==>;1Pc|7NC?J#daFcp*6F1NSia!!5GUu2&B}Wqr`fiOStUhmNqIqtm{XxR z!Nz&#i3syX$#kHJ25Z}$v(3#FU&ezW6Y{BO;WAz6Ib(NfosPabc~|g(MGT)Ysi|%5 zd=VDIKE!sfKAwad2)pCxE-xq$d-w@Tod$z4c5f2`AO3OkVh8{J<*WH~eLu1j7XBBI zz=ngO71amjif{@Mk5}6CD*vMtJqWm(wY@$DR9D)L!rOzi#?&f%5TLKjJ~{C)Y+iCz za)XvxmIi8Ugcc%j7{&F_Cki?=k_L%`r_|4oe3`+l9OKlT4o1Yb)Nf8dF~(9vCPv$< z6&H$A=*)Ne_C2ynnH7V&*Q@;Dnr6r9Q!v+x)uNe%EAq+TnzCM4N!~Krd@CXNh?=e2 zNmBpe7;b1VCzbi?a(;ieD^cN;3l3l2j0rM!@0x% z_O=HyfmBPUpuSMab5!6&6&Z;jfW1*PfiT4bHd7p?-}~x8E_>OrP+ur5@v06?#$!tF z2jKJ1hFT{W=pjZsE-Yzu?qxUFx5$%FFNplDAyvKtF0MjWDNoag&8r0gprpmUwCWZz zz|Q>h-wZ-C`hL5p;nZyAJqXQr#B*Bo5nJ{R^5mcvi@y31ZDGp1u_E)^rsbVvJ1S*> zpI@A@g9zo;(fle|uyXmkek)$4EzTTOn2N-T5p2O|gexcIpmqQ9cB{jcFWb!kGDv5> zzHazaCwwK@Ym|VFB{sbLrQVlW<_K_%)0v*7~ifEp`0NuQ`~Sy!`z9M!reZDNlPi zIx3C-Y@+5M5oKBR)kp23p;Lb1Q31vr<@3TIam|tRHx*mCrTZWu2Yz<*0>wz-KpF=P0Uj543-TmV9^mP3BVf-uw%lcmW_sreheCKfoQ0y-2 ze|rOV7+0Mm$Hc#g_Hi6sZJeTsyxHiHiVinT^-@JoVWL2E@{A@Ly~cuuT^H3>s76Y@ zH^VFMdin^ZWa#pbRMoT#W{tQuZ>{UmN@r3(Tp1jPU@mozm_pSusrqZwF?Q4;c{;@G zLK7EFbW@uy_Hk^jA8+}oVOaTMBMUECDDlljqEaFRwE((sj;6r(tD!%YbM}l=a8q_7 z)r~WrqMx`eKuCy;r_h1HXCmIU&7OwZ4@9c3SAAVYDA!;kBYBy%l*gp!AgdMZh zAxG<~jHExEbfJnrC~}f9!!*BZvR*3j>Pv%N5{TX#Ie6zL$QJo@fH8mRh>!khbX3La*un)p z0P|S#m&aF3Lmq~dXxQRk5c~&h?2Ym0Ejy9i_25w(cOYn(u2~B?fYID??*lW0ewS9& z;i3~p@TIzqzCk^GayzfTy<#Vd|cnO6}71VNZwlOZFnA4>0~-C zR6|;5Z&9#koxHI*3Wos#Q4$stg))3k>McUyRdXS=H+Y&<{fC_^*I^uT8kSqETk{CP zMTahV_&`HC@D|eABssCv81Smwm||{rofmnP<+%;k5HbDHr`U86#O?m#0(iuXA;L>$61<-4GeCL5CwZcdIh)# z{_6I)M&&m_emEQj?)P@}VXC645@8FJ-(LKc88itZ4@&AzHje`*0ChUE8p(ET=4-(O z*E*ZpQfp?F>R<1^Ipr4rU_82=e*LJ0BT;)Ec_c!1&7a5Ig0)vhIiir ze{2I_9i4o?uSR-n4^LJz&&!^Od;h0+H)t#l%1rV%V4-WBrc8yxn=N=bymAGhne>m9 z!0O`a#zo_h$MPH2P>1oh+>{Z4FvoIC`yv6-Xc+_#*UvN6%prl7O?%huJb=3Cs=X=6 zLSVSVBm<#Up;j)K8M(5}3OY6a%E`CDw2VWCJE)09tC?P9I`cay8}0*Iaho|30dsZZ zp)QCpn*MmWQO7En-Y2%SJMTg`^lTez`6sB(8P2@Ey&VrcmQqK)gVz5BV^@vyIQQy@ z%{ry-&IuPZ!3;vgawI3-`crSNv5z*mT$V0mSwL{9!!Z*?Pvto1%0Y5_38=XWf}ee^E6 z3_HxW_hF!&HmzSoSpN|j7K9sjW{_Uc?L>_Y*XQb{qVZz=<)sp}0lO0x>s>qL;%`8h z!K48Erw)_x&wr$56AJ$f@}k`))6i1t57oS5FTAX&#QVbC?H7BCWGkOl3ZAkw;C*oU zRkuFCk~98QFYSqMl0Dn~82k~$<#{8v7Y$qF|6 z?I5S1NKvtV26ytfv$JEyIVe?VTcw`HKEPEb>f~;;Ls!Mv4+>5H`zX6hoX0Yv#e=Ms=fi@99VDw7Zn7qDN3l*mG~h#E1N!_Heft@!;)t z?0;EkzhxSuHQ+uVY5}2c0>Q8Sm?>)(98ACRH~n({LWF9SI4?tgdq(Z-&AhD_D6ha_ z;k)++1+q!3iKxpiMR(P+8#1d4^W&v>FE#_8#7R)V32K0;OD8@>Q!ao{dueHEtSgOX zFMWVGm8Sr+y}llJej4&nHCO(LFgz*=A3g{iqjZQznwq>Y>r$gc-f zj_To+(4TH?rH4Z9-b(RL7yrlOm|-^kItu7q1MvzXLtW}-MWZxvTl<#;50J4IaEby# zgR;#Xd0a&?SN5n!sj3Lc7bG!R;uRbkBMSjdZOFNL6-W_pedOC7V<=ibkCZ~E>_7WA z>covel__M)*(U79T0nyXu=@e;k4qDf1)GVsdTSiwz^Oo|RJatJ3QW^6ad677P=uwn z7ypy@&3dCSxv5`=8KSly1H`Zo4+IRNgds5)in zH$N#e^x2!m(EMDPoeL}U&*9UHITr}^$!l=2XtMOOGqzX zsV^Tj`PZ((1y zl}eP$b|)#?+tshlF6Y#V@XWOJtcM;#iMQ?7kgd1h_sw9esGPD6D0;s!g6_J1Bm=>` z!3?aPl4nZdwo;>i*d?3$}Zh z*?6kqjx7d=_X2{>r<{HqZhRNdZoy6Z?!-fSwgDbyL)7|qKkH*AjzC377-E7fEz{3t zu^1X@4(yrvBTrD)Tcz6;`1}OiQlH`xD8PxrRb+((F$hk@{;h)vZTIR=W#M&{CDeDT z6eX!gkyD|oK}wR4ejK7g;@e6Xq8tpav;sKz)_$WuPDKqz7Jx?w~ zgKeSRqL;G9H|=<`ce9ssZoV>jH=`9l|xsl^u+r-5}w2oSNZYIgS9^i_foGFAp&wcvZu$D7M z5fcGMXsRIq)$oR+i+W0|*yoRuq~=s)JB2@m7tB#S%@x^ZzV7F?LeW@PST3wur=oxl zGR+h7Kj>InT9TA?7b4(lmjChrI{Ors4dbf8?fp3D1->xPw!W3GnfS$AUnCmHFEA*4 zy}X#Z^F#eU5WV`5rTzkGb>6cLIQ8q$5z}5$)FyruyKTwy5<7D-RDYC8tAInH&)uE2w>ysEkf-HUN(J8ikW}Wi8(8_ zOTr3COm2U2VW^)Wi9v79uoJ6BvGs#EpSQ|v>Oc3Uv|n@LaehacL~Q-!Rx>X(_r;~@ z*U9x;q%)X8a_uSLwo1aQe@Hc2~WXt>13kT72orBBYNQ24Cv*3_s zKS0)26LYTcnWQa);_A5VL^FK-NSQ%5+0->dKnUUmspx)SYsFiz$$5`!+Z?j}Fl3v? z2`@vi86*Kh^lAspopNk;$OgDyzOX=AYcVOp_QFu(8#q zzr(IN^I6;x3f`@=jkSO#HuCmC;tL?4sg}J0g)D&yo(QMP#lI69mpe=Ovvhsl{leCh znzPFP{bkm{?E*NEgF@Knka{v2J2mn5Ok)b-tvnMsnD68Yh&f-!XVYX6h2z>J zqG?D_u;MCE0z+B~odURQbZwChCAe9zoPHK4ld*iM0`mGPTu~&)v%?$o@%+!t#V>mn zRpQT*lOR0rrYprel0NU#F-3)1tRHQxI9Y1bhaSop+T2^-WE381WQ6ecfJTRX^Y%nHy5&{`fNTI(p0d%b_<1y-akZSYAqKRXQ* zTO@u7JA!aD&}9CCSpyW%TKiiVSW)nmr#=5ebTCYx)U0F>0 zPrj-YW4AIPVnET!A**|Dq_*UYFW0XtripfLVsx-H@)D7CK*i)~A#pwslismg6To;g z)&fqR#ORP2K_Q{3=ujYZ=_BW%%jli7oJI)l0-+uvVr22J?Jvqsyq2OBmFpTCVitFM zIjz?8?Hjm-z@2?~C7Ue3X*);#z31zj=`7ty)ge#^l0#Gmx}zHkbP?CA`9v15*6)hH zCQ`a!28Oz2%Z$#;k$B0Dc%G!*fdp9mjj~QcSgVCBi5C~ z0p^Sh9cdu5^ZxxadmjA5*Yxd*%NI|*f%*$J7?_h54UL|zt|$LDv}y$vk)Y@6cy&;x z?s-9S)+lcABvjLK^SQOAJe#i^*0u0uz$MzlWzBsV{h?-71JB2F-ajBO9PJjnC@PH zVb-xm94gJOkPNXAFGi5@tCl9>ZlHlngF?Iq%fecKv9BcYQLUHm=u7~<{^iI6k8)-Z zWp|Nyj_NLW&(AG^ztiUgVA;cnQ@P-J7k_~wZy)@(iO4|E!C8WO2pb|k?t+5u6d4`F z%l4@TRvR+|3am$~q06krJM77@%wdkssf6r9um*b0!Q))I zM9|yZ@@7^?NKEW6>VH4&chnGD-nt0v?x{<M@`cbo0N)?Xk z7-8ONrEq*;mPytIxwdm-I&&fji?lCads@w);xa)B+AG{zf!LXq$T2syKs zKsEP~W_e597Va-;L`cMHj-L9BD_`5S{W`RJ9h}WGRlPJ6Ci>Wj(F)}nR%RkSy426@ zp99V|!y~L}3sIz~!4}Py2o=X@z$Ac#8#*PW(iL7j0FLj8Z^4N2(yrZ5tN&_`>5?)X zCX%NOH~#X!XiW?A^LfWlPbCKyyJjsxD?M=lAduOcR3Yg8k+O|*k}^R@ie4-Gc}u{P z{hE^N%fLO{^+opvY}PPUQ%^Io7JE-1El9Y>dIFlcrl6h2nZ$lSU2ccny6%OB?{qi) zr4ih1;~p#xNKG>iya*Y)-cP_oShpB8Ra$~>KZo6o#Y9TUUcf_F6%*x@J8GlhQD?nd zV1ghpzF7ac+Fs>-)Nv3Tm2JvMgIljNeER_M#Q=#Z@*KQYmGdW>4>xk@q&mZRv z6vidP)L)eeSV^FK`Pa&2{sc7QBTr!!t!=TTr6q3aGGzRdNxRft!Gi?Z0@7-P`v#L- zz8SZ)^`F5xHIsH!>zTML^tePr`07K!&0Vi}Y81J0L1jTZx5*<&wE$makv?)iDcd9P zWtst(3Fr-e>Er4;j=YU@Nxzx&{bm!5HSpoHH4)yQd^=nt{yjo`*TQ7)pAvp-1?D^t z*@+lPj)|L3;MI&{A4&-xB8gKAKbz5*+}NRBBl*n6W(pSj1$vcP#I|URBF8Lz$#tkiAA*R`YX9MtSXdb2+j6f8soy}zZzs}kj$!P$rVPgijg;y)DY!_* zVZ*;VE0fc)xQbHw#I+%uwg*>2QMM#m}rav+$?o0!w{^2REE_-retrvEEpKJj(_g^nV zg#R{Qzu5Fdp|T=>wN0R0yzhZ3_W)oevc+BRMg)WYf||;{L9OB8+K=ea2#3_5~SPR-~A=GkBiDsEoe%Jx_qxao75w$m@tNh`=G z@n{;T4T!aCr?7?MWV!*P&9b+%mKAM@)fuse{jo$*9p0dYSv?jc-pO?FB|B6g%PuZ1 z7JUU62Vw0DGxUANTW7=;KIzt(m0|*t)HS;WtPF%1oMz9}UI|&3hkdP5Ku(SnqP;yKVTPd0ZRj&GP*5)o{r*bqP%ZC;O>c{+8 zABEbl&EAlXWK{OCHpgyaI>R^@EmHoj;+aS1MBhNQ-lB+S;S;2e=$SQfvQR1=!m^A* z)ZS`^_1WO>T{u&Xo+(Ye0{;SO)Ng?R;KUOFeHZG5I~U-hQGTt%^3A$k~ova-A=Okxc|8BOy8ahg?PkLb3DWREnIc!3Xx2o$&K2m>IfogCgse5^0+qzoN3lbh?(UZ`A}ea!20-R>B!TFwIyb3hQZ-GPVT1* z8+TbZltvCq^!CqI-}IB0S=}-;syXep{)m2>R7zlr%szCOWy?x0-W!=rZgq)hBoxjl zha=KQoEy6^w9vGN=HRJGgLSR#KieVj^15|C{42(4(GR%b57f#Y7hk|DpzDh4Qm6SI zQp8D_z;!ek@h`Qs>LKJ0^k$+R;E-Gw!^PR=6BQG4X*7%?leptf^ej7+n6b}Uc!etf zLrKf!N)gWa;Ew4ly4l@@2QILx#&Y3-9@`QzP)l$u^iR9-7(%`5kHfR_%nJ6Aku8De zCy?Xpr!D=k@uc_$%~Yj3f;gjPHadhlBn4M)uYm8mD-|FR{*7K`sGUX;CAP zP-rgY#S^cnW#y&wMb=5F0#C8~@U$9xSzDI^bbCs|xr4sHqjpQNAQy|@c^1Jp^rU7? zW4g-Bv%zmTw~+47Mtud}#>KedL8J5o+tvVyk(z)_YyuhWLvGjNZRJsJ>}9%@&a!0m zuhQ!9YZ@1|mRvu90T}$Cw+F{zO8vaLa{pNjG6LZLw&Ki} z9qej4T?s5aze?K5AgtSnBS)4YUzeGr80cN!{l&GMJ+*j5T~eVg@z$}?$4Bq2@Q_M< zVh%VPn!0F_3N2JuoAJfkfH04^ysSMTR8ZRZlO8@VokWl%OG|jxTYx7B^SF>PbxWgz zr~(D@MemBy$V&@Vd-y0VnV4XvQ)=;tl4Yzx;ZpK%vX&!uJaBuuGsQihSSj4y2@pl_ z=pP+1BqWRTnOT~|(@xzN0$!MD=)CUgMm&1aH2p(R-)ayVC zX_cbMu08qn0f59asd*jvv>a~q26*v=yg|waaF6NH%CvpoNGjv_Cxbv3aCKrQF~tB6 z0Q)N}a5?Cdg3Cc0CUf7Q+m&3oYb{KDy{z*Nr}?; z;hJ)qcl?5>&VX+|HYgG>h5;xkRJzF+0Sv8!^ zRe-z)uIEJ3hRtfQr1iHp>K9(1pJ$Z4(Sj%{$Nvy=6|MEj54=ox!bu1`i#0tZrXpeM zhF2bOqcObkg3^nOj><%%i1ZHcaW+y<25UtJQR$q@mJLP4D891Lq4yU1n2g|*4kY}2 z9H1Zrk}$+j9MfyL{E*o1>2_D-yJ6elXbPLG%Bh#HuUwCw8Uy3ns?%JLaR4W=4@Z^m zvYqsJ-uNYwW!&vSWsP4H{NDnGc6>I6g?ngu&`o(gG9|f4q_44bz!v|LX*)kg%W21T z;L~nk|F;c$GKg_6S7Lo%6AswqY|K&=v9UroN^NApu9)Kkcmp8*vXdQN}EiQWB zU4EYPtgWq&Y8^@q}LsP7|-)hG<*q=(NVUlz-H$`{ax5c z#9}kT)ALaFpzqhLL67fYK(h>INtb+6UW5EJB z-#}XP`$;jx*|q(`*@L&G9%-c$rz234(1HmY7^r$#vr$))X-n?4E(k?Gj0_jMf1cbt z#K*_T#kNF$*Y0*#U@rel(Tu^>!q110?~JOX?OcpK~uTo&&&F*4Ebc?;yn`sAS!ueEQB3 zP4*GNLDwl4^W1Z+fV&leVc_RS>%|mCHK03!{Z|I4a|1&fc$?fO{IK*Q@{hVTmjk^Z zdcJDX*fQ$$R>bhe@5k=JH8*QVAPO1IG)wd7XUFSFi+V{wPuPpd!6KRQi<(+o)|*kr zV2RF6O_yynCJoxmzg>VD{f!Cl0KTmzteu9z%2TSJ#70PJs2!Ziw$OuV^rlsF=SO zL`?c2MHO|r5IM8c%#DiEBvwo)KJ_-fxNszLL=_wif6LVlKo5p>R;f$zAUr70K5zM( z*iv9COXo-Glb5s-bQ42)k+IHH6p8$R09_N}R8S+f^ReAGUopSbMFUyQGU1;MIUVH z!=l&blRrKt`y#*W0Z*IKJ#LFZY@aRgOsS>KG{cs7O^a!MC7J?U9W4J`9esAWh43KC z9Ww~h6_;{>mvXq@OiHovaQ;Y@D4+6eZ+KEyMpTPSb8xEYYM@lS>TYkvj;@YlM`RRk zlEq7Y#>RB1l1WD=jxWTHig;J6klgUgIrFT60MEsv*cnjT%JJxA2p<@5z6m*}u|CC& zy)$hZ>-wlJOQC5=vB>Xw9vT0XSODS+OOY?!A=IBes z^&iO%{mKKSL?gHa>i`~74f^!L4lOicUau?=DDsJe0&E4wo>{ra?ihf9n4Ycv{lgM1;2*m9%NW2}HZ)4h7u z!G}Y`sv`rO+Ok#r%ZZSb$E>(-%bqXugmweYQ}RGyNaGSLfat)k#xKf9ZGc#p^K!NK zY^=`U?(l|z_8K2e*==7@BPd8Ze8n*J(+|T`TF&pZb0UC5FzADXa5R2uox9dBb@*=fG=+_&rlxs;4=lIPi&NNh`D3 zhjNOHiiUHi1>#xO6cfQ;v$^F@AN$uq6CgYIvQbu$Mrg5geBC165%j-Z&E6HXsL?nJ zHHY^YHp_&}$(c~Zkh0UEMO-E{fnW;yCRjetap>__ytaE`O?x2%TBJEl+Sfl;Rk5{W zBHLBy?0LUPybk*6wsx)LE$kfe<&XwM{uh4ba8f;B)sY)>Dqs!&NItE`8R zK{AB^e&N2dRQ641)aoFqWL9pieZ&RlV<}i(c71PqC4z2~$ zUQ~#Vom4E0(EnVWD5SEzqC?RUo5bKV1|OX$op9*cYWU@9?Qu3ls3&*Djwg{0A#ih} zmKRW+?97a{)7sAe!yIEvlx1{W4%A4FIGTtu`{s4h?;9NLXj`_wY%hs40};6Z*8c_9 zW_R$i!6E+I2mI(3f37t9n67=`DLL>n>|f1gbQ2}Svwg6PYsP31ZVA+r3DiQkb2Jah zIFpHM4|B#97NR$1fm9PeqKC+k-w63&sZxB+rk#Vh@MU+6P`#T(x)C;#)hKr__Qg_L z|FPo@e77T+*leyOmWk@i5#$+O`LOf={A-y&?sR|+0@odWHFtO2vE(2}QNU-Iz;5pA zKvk~ejo!$3*)1>{`1DM`BhkVYI&F~W`^p^(DkOImgtbkuX)r~b>GU&+rK3x8Kt~h+ zN05He*R*Edpek<1y~Z!C_W0E++_p#0T}@tH7R}!yOn!&d`3`I}?0rr*>iab&HMFf# z_vk8a)KiU{%OYk9ebeV)RJ(Aie#@LyN!N_hP^3vV*%%P=EETOY4$y4|j!7b;g05AL zO<=5NQmHqr`U{rTHU>6TK=TDVdH;>TFqvkYQqPsNhE zJpocRV*YpdqUZ}cUE0K!Cc?1asgn~!bUH>(w1c*;S%WwTPE z-i+Jgu_(z;ygcP7GHSp6f5e0OFVVH;+zeSQ z*3FK*4u=U29AyG5)r<1596*C*!LCs#2NRWGQBfVCj1c`9&_`lgF%+&zzIHS=&YoOz zA;|Nf!%MWS$nufh&;Xw$Zi2XPBoZ7`c-T{zL@G3CtYy&&$OAtQ%_il3QjgZqq1=Ub z2hpb#q(hu?=wNizFoK%NSC=mo*Z)(M$+&~$mgfHqTyzp(w@aYXEA~*5BgCg>g5YE9 zf5`tX;r_?Lhjo!f54x$95i41ZVq{k351z!+gI>QIw>H!8nqE0+CQ%Y;2q)o7NI1pi z?v`-%!}u6Pe#C4Kpd7$wdh^Dy{%aH_l;Mk6Pq~~ME0A6V7U6o<(K?Y2@z(&pUBr|- zT3UoNTzStF1H6-sNPB^FkjM2L#5A9}T- z#=qcU2dtQOv~b5smxQizJLrIGg+w%dF-w(;b?+il3Nv(sN<>Q?>9f(8ZAuJSQ$UE43(v)s7AlL}B-w(ENtUV5 zuAaVxTtG#FT(`X)r1{JY)mgUJ*C7hNz)8+Is)67A8r~pKfE>3BdjIGq(5D$b^I`jO z&rN?#(25}}t(SXf!hGh&($)7wI0v&<6ez9#6r@W=CPY_hM)5i#9A$!?l^?c}|KSsS zt?&+SB+QX|#nwXjG)sk%Yd(-$aTPo=8i_CNqu6F~oS|u{o6`JOMf^v1pP7`8A`XT9ON3-F1HSDA_uXbP%Daw-d-%BU61Rb%e0W1YmEPs;zRJzBhC#5T_ z>d_-U-R3=mc$?6RC_dRa2gWt)qn{D{dY$Juy0XYs3-}{LpEc)WXEqsFqb{BJ^jHYUmo=!5BBL z3uRwJb=lm|1qjnbw6(jP4yp&u+(BP~%hVlNM*k|?@L^|MdVgI;yEsGnkEq+PELGHW zxT*X!CWtvOm4R@Fpux=q6v@n^q+#-nNd~jqb>zfE8e`k_;A|ILTgI5ef5xn6vBirL zi2|wU+d#JwJ0}m;A%C}@FJ8QORUZ?D9w`NLpfrW5gl<6TD_?uiY3Q22*p#EE8uYJy zOrg-AY%EYk%%Co0zSLhwf0EI&t+;%rVD|fAlJJxD16_@kp>U2q@=;u$O0l%g?=XK& zO<$(QQ0s1$uxKbvO2QV?@Vj?xugB@t6X!p#YnlGG!bbd&j0o+saK`uemV#+p-$=M2 zxmR0GF75T1OLkjYr+VIzi9Ox=BNtzca=ifvxPM?!z8M#L3~&5wfYk{N9pk|nl$UC z!hUsF->8rb)`*4}Eqzo~lGr$nzJj}5QhU?zanK-3n7!Wd z+n>xQHP$c2O?5{7kEF8n+-1pvBtaYvi-AVwUK8XZsBGMSJ4obEN?tvU3;cok=Y?pK4i4Q>V z#`2{~)ARMillB{biT^RR!O5GME;&*2qk6L-_Rt%p+>lDHL2H}oiaOu9VdLV^kF_4C z0pa_{a6!CD7nxq$1SgI(3+zeJ#AY2ISIF$5wWix$8L@kiRQvC~(AqFY8-6dUR6Wj4 zmt@JUvV%aX#$_Z#)wlAbVy-ch&RoWlDqIie$6_=YM$drQ^iWa)ysX!_Kj3^L=J-$j z3>)O$YRrBQ*Lj=q6WG3}+Uk|D<@AA+lz+^a5W>p>S9M5ZOY7-OzMP3Ov9ZbAKvf_-ywQ^Ow5%ED#pl^iK&69<4d1aXPWC~_V>yfh9JlV zpmGm{hXA({^>+qdlRaauyrG8glXk16*x&ufUl~s1nya`&+RxrY_o1N@`6|*POf>P` zu!DQ$mn0684|uGvP5x+RUf_P8t6M~H=L?xSa7X`9p#iB_CzT{R|-bwbZ(H zd1PiPyt|;~01;qq%Z};AlX(9$Js!5ZDr-5w;&xk772CSmk}fo5?t zgn-O%4k6BYG;VSE!brTlFZ4MiL@`_!+<_nu=C8k5vcwIt+*ah0f4V>iSy0!m46_A) zC+8v$;Z`zbo-SA`X%QB|N(Z`{~ z&}z|hk-N$&R-edA@=ox!UDHW+UYQ)_%MU_`9zhc>Q*wAMK?t)Jtd#>D&9<)$-wZwS zoxj12RkDS%8S)N7luX`}NVb)6stY-p8Jc%L{*^1Oq(Q$qT(DL2usF%RAl<(~6dFr| zV+-ZrKZhQG9>U)ntN-^Mi^%aiOX$uy$an#<0p@Q2h@o2smNVY6?`G+MxPZ%}F9;WT z;k9l8s>(l7O~sH&RhmE|D)v~+r1s(e0t6}Ed2hXvid8*8BT=_uPX4z&-FSg5?b-eKHx7EWhVl?%r}gIha#WX=b(sMTOz)c$>L^3; z{sy?$pY_*79!*}t-K5aT01-#A;vxRs&1RgJAb?E?qPd+ipAs3O%u^-J)I8VTcrQ zf8pUUHH4QkyPYH=-38Ty#)JOoBrzzf<~MW72Hc=L8KLf_;5EW6Ve1j+R<8JD?e%Vu zV(Ql{?ap~a)8vci(s^SO>HfOuj^FOPy&;VYFoM5A)(6a5V*#^DG8PhV#b^$I2$i(4ARyMEnHrj`3)C&9A6KQD~QPA+<0Lln{cm30P!& zUCsOfG<~8`DbFZq2&q^i6g^)!AB3zU(m{59ygh3RZ!pk)JGh z&#)-anIWen7H5y7W76Iu=5#Jy5C!*jSoN4L2gAs@FA!{&BY=~*#)>0*rF4X+B-JG4 zo_Q*XWfU~*Y~l|P0XT1@dR#DfqLW!X{O)=L`qNAAPiAJDCnw5PZ2vADas`?c=iOv< z(U2fOO2Z6c1iy{PvsSWj+3}0jx}jqe!_D2TNP2N9WCg`c@GByZ2>L!$vC!X=)}(>F z2-bmj18GdEsay>3EqV@Y64(W$jWKOt3%!Ec2mTRC@2)8!I32pbw{qR;gt6gE6av~; z)MY5qjoilu_!cYon&q2-3>7^OxOPD7zvF)~HSdfg;ZJ-_ro+=Su=@N|9T|RoxZ$nRu_JrY@0v5qh)geITA8M3RTpkdE72=p6#ZlS;R5~b2Es#n*IyecMu@p6 zp1M9I?p4Z)p#}z@T!FG>tj>F#LinC^LyeObnN5-hI>aahv&V6PW01Fpsf?77SSeHlXNn~2`qtV zIB9DLI72>0iBCk9GH1+kaJy)o9O(TRut(Rh0N#|bB?BfmjR;RWr3MT|OlOJ@VsAA5 zaz1?NqQPwCDm_zfCx0g*$Cu-~D_@gI{Qrbt7jjNY*c=v@m9ITW?7j5Xu5XV16O&xC z+ZGW1O3ESOi)-BE3uW@s{+NzV%Gx8qBIBBfvR1Ae@2+M2tnS;iXsi09;bx#9cYgRU5de&d2=N{J$T(!!hvmTEemY49 zy9LWqJ3EYlZ(!+Td^1s3F@FHUTL3y2=)(VFUy;UudR!X^_?u{eb^*EdWLQhk0NDT9 zWWba>Dcl!_FW6JX?va?LZG!06E*5ePz-pLbaPB&!Wgyr;fzwb!;msA;q|X@{Ap-p zIL9QMK6wtWm*3%h=Vr&le$G<}HUJMfxF^!3$y?G`$f@Fg?ZcGqPaBJ{3L???^G_!@ z*;OiON=scs>yT!WG$@(z;(>*!^@(n2QtgfFIJBwqMb6zDmFcld72vJqkqPR32Afp$ zM{CTn$Qz=Eo-$&Ei$go3|29X!q?gr<+`&bRc_ROlM7d!P&_Tgzt4)h1n`8QW`UJa< znI&-8r2TpfS3D@yG>9X$3(&bOU-h1+Mb4tUEl4Ic5YZI~wfMly!xg)mz}QJVRc-*s zpdF6ZV;aCM;p_dzMs<5Oh!PTyUEs_F$gf~<@-bcE9T23Vq!Z9$b58`@#7QCa56#(L z@+xMI#-vqG3YtH0kJ!lwW{0?-p<$yRXdSrM!5+Fliy81bX}m;M>2<8JqNeCpdzbsn zsJ++0!8?@qmVdXN0g2WLFGKQ31120C9P+T<)}+{dhR8U*u=5t!pTmc+ z89;&YLR!t_vaBt6`2j zUcA7nimA+Md7la=9x0mURr|z8&-vn4cg}(f^}98tVz|qJ$lm<#G7}6HN`1!YYaFd5fhdaHy9tczckIyF^@{@+R1-~JfFrFdc zRGB6GwG+57D-HZY^UOkl6Q`028XsRvqM+pkDuy;Y^T@_u#m7p;O~N) z$y6S~U>^V&pQWg5ZVaSxL$3&vckU96CElCpLOBKp6TYssjJOg>GCpPM|KgbvOg?zW{w&5P z=HN43Nl%!N745=VHWaN@*5;k%X@qLnRF)m=o$}rzx2De<%9&9#$c{J~g2R$itY&7P zI9t(3Q~cY0rR^hjna{Tw;KBeaMClp)?b^$>Nk}vN(_Qs*x}kE1Wsaa14b2Hcw+WK? z3NVlCWr|m{Uw8hpr6yhju9M(k#s5|b)OT_PYrP|^HXSH2F5 z+Zg1!&xJftFLI9mX@r|VjQe&iB$EiF&=iQ}5i6-h#A^e|w9aZ0WeE@`w9}}m83<42 zhg;zrl;@k@^*MG=$d968aNM{ds`wwWeky*bVL3J{5W^@t%v72hHt+3EDvHT;ohUVD zN#f*vAws`iz;94#uogQ>6pkK{u%74!}MXMuL~D<-j+ zA7<g8{41GJA~&C(c`B2bJL*Vb)k4a!k7Zndk#M)v7Wlk#U>- zlg8A-*YE`Gs=PULF6qVNSvL!yt;N?N7Cl?~X{lyc@IMP*7l4C`@AHp&@pCdIAW)#W z-+@qh#c%Ui==|vKj>Tw%y5T$EH)ORH_>W0uQl-8zMEh+H!}Q|j;4ZqB99P6RHV^Z@ zDnr=RR?5j_}FK^ye*(6J^7|$GfT)OncaRyuS-C$ z6}U%31U+^I(XRq4yEf>jy>hkIM1zmRUz|Vyq|l>8@3PEvQr%YrbHltDaTHX9Z_imu z6r4?qku0T9OM>{Y^KUoQVW+EHPOcT7RE)SW{`oVmKt}L1=rzBniN2}vv&mC4q7@~X zJY2_e*)AloVUdCN02&Mq&@IgD18!(E2YZ^6gM(<4rEYe87f2*))McH05vqT`{+ZJI zxC?~Hlpxxq19?0TY0Q7P4V(>|*ZA&kR?n^v}Nr zTXGQIz~EXFa_&0rJu%{sirI6%^sZnDFL}AuO{O+EQnQj^t^rfsNZFF-;MH}w|VsMrKRXiVlSWnl5=*Kj*c9YEx@#PXqMnA(RgdQJG|WPv$GP7T>#T^nuK9Sgx*T(jBOXAuFT& zU2-f=MZGl}nG7CsgBO!hzD*$9;VJ9c)UR6!uZLw~M`1MJNRyL`U3^Y--f zh^hu+BTpUAx>6BF=l!zLw}hwRFL4d6>VTg8v}a@3P+>L!NP3 zEKQb2L{U&p{pvz+9@&6(&Mun*(}%I}_1t;c1Y?J8G+>PO=Mes4 zB7POT)2eLCes0gpyO^<5;gEo!`;C z@=vyCO(l}H65etP5*c1JFO;?*C@`1_!&lNY>2QA6D5T;VUVmu0QOr?FL3Q+7?a(^>Q+S?1@PE^fPRWj% zph89Ar7W0cYrz=_`X>TIEeY0ER;XC)a6)i-^M$WFuk0Eczw>P8O}jrgYt(;ef&|K= zUGfjtV9Rez5;b)E{B$fQqTaVMXWJOhK1HDBa1&rcFmRk2wu-3cJo z^O{sg^03+4=-YJwoyqQ8l}v7x17w-Ti!aHZEVGwiBKnYpSUBQ{5+rY_|UVkn>!>>F2>d4W;Rf6PnXSn4}KA>|62&cI)GR92Tj z@L;g44za-rAdFB!7al~yHqZTzS~JhYT0BT>7vsuE#`7-6(8RAoj9AysMClaHBINY| zXT-mh_5pAqrg6LW3t3wOVjHn&tozBhQ=W1mTf7C9w*lL_`n?S*_%;n3fE zj+mbj%yv2(S%N?76cR`F<=U#~e5BEknD*K1h@v^@fVvE3vXdOC;cqm)>h_7F%<2sY zwHhbuW*sZl#IC;XpW%`nBL zyPhtqu|M}sSxfA(ct^jo{)(ZdPi>{?9@b z0_0e5*q$KL7zbnJ9uO<2A4DX;C6p6*`L+i6H`xu|v;)3mxJIr*LN6Xa9u0S)KVpb7 zO#}50j>T?riN(zyn9{ua2-@M1YVn5>>fam6=rxoO$W#dun%1-k!}>@*@LdF4@qf@{ z4@Jm=JlNRTMcEF9{y5S^y)8J*x5d@}sDjUz5*5?m;`niMZ*NjtKu#%%K5ZWRRGsXD zMo<`TONd7DE?+}44A-b+TEkLvX}+vd_of>Ew=wS^5^||xT_qV*w z)9<7ToU4i&MIGR_2nle)nFG5T-1pz)_!2ozZEKyLu#ATF`B; zQrL-!Zqy_08U$GXk=hsql-AkhfOAELF91HY5MU`~_A z%?b}M)|}ivB@NCKyh@nKtoYGU$N{44nAepwh+wIhQ$*~$oYl}6X#4~_^*W5ohbvE+ zElYZG6`*`(xFnqikdTiEBd$pQ+c}M$`-1(;@o|b!KQXOozku1H8;?ViK(MGVz9gaa zGycYYmXt61dATi;h(zWWSbj5$5dIZS`L1mxYBi%tk1rKUM}vU#_pKIiy6BImcXGiw zCpLfKZSdvE7<5^3Y|^XLEKqs=J@LdKe}5Ym+J%yKRq`@);$HjON#}Wkri~$K&xmz6meFAb#c-Pq{ zZm~2b#U5HwwH!i5i-dL!TTC7^sHla43Va}9!Z`EEw4T_V-tD@~box)^qE|$b17OCH z@9)f=^I%umZB1Z`AYVH=Av#EG86X;lZeO*)#Ni>5>Dn}|p{uv-XLKQYYdrAUre5yu zuS9QmG}47+QV(X7m|cAZDnk_E5J4iEMiod5!5KXCxL;e#oj;(?+oA{F2p-{wlfKuT zH~CZ6A}vACbx`r^gn@f3*#cbK6fsg@^BdSDEhf^}g?~C{jAWBeb43(EMZ##M-U&yx z=8yUoRJ27C>pA=^6D6h{B?N0aNRq`ihs6eYt2PER-&Ewk?*?79o>M^B3cDEoIc^0Uf8Cjg8XbRwv*9hhhTvQlHvXiYzB`uNhNnCo@^cnQ-wd1^<;l7 zwjpO61R;ew$^UsSe_HBE00z7taoEZhUv{z%nMyh0!RYxCA4yDX2Z){U-s;HtscLx# zf3^!i5@0*qyy_ZyV^>G*O~E|`^m>02_(I!e3|fo1JF@V*&c_Aj@8A!c=Y1phn;Nkf zeV%7>o*I(wNaIEOPp!$?)wBmAUlzqH7nwigj`bf5`+mK?+A<}#+Y2RJ9X4rP!X_99 zp)zh*LVSj>i*faf!8n*rwIiu?iF4eJZN6hM+ymcK=;P|4#{{<_Hl@&3?NO5j`rz@y z_;KdJ?QYES!(Kt0XC@stS{)L%6c0G0|2X6zz7te3z$!kNy6%h`vHD+dNYpM^%>VzV`qQBuuzj6I zu}8My;P*K8lPq*$V`0VrMJa=?S})`3agI{#OVva`kZte99}a`xYH(EcST|R;QfwyS z!?kKNWDzXp9omD>a)ITfh}2$CD;p!((PUVB226Cd9r39K3&AbWZfNtyuH-0D3HYoK zPk!vW?+D#(qzY$uM2#Jao;|pv`}f{Ea7%(jAS@^=NxX5l1aHWxp>zB1UQcsc`e8j3!sb()dX(_86aC*H!6LuIEJr zoRpIv?h-yGB;ZuF4Rz?C5ysH-8XU<{h@IFK!g%@OZ_LpDCQ6_3DBF}{FcxXrS?PFv zVV7it{2iCxd;1qcV;XJ#TiPUWp%%mErh<)VeE0Cs!HyN(;HzH{RY{g)(I12ENbAxd z0~HPZte}D~577(kOyRdX=K7hg#w=d7IPa^2`rbk{V0XOSsnk5bY5pwHnv#^a z&L*zj6!J3(xfy5+9EyQ`uG_RGFBw08Wfbh&_IC)Obmk)K6v1#Zbk#I@ZTmzug~ z0dgvia~=W|&J*?2oN-!V$%*eO++OQCibKdrA(tY(bJk+g5Dz3udHkEh{swsi3FL{&${+ttD8z>QO7QRV@q@XzCpo|}Eb`iQA&kS6_30gng|fz@ z_6@%x1=I_yg;%TkW|$bn3hM)NWo%#L?NU%9&azr0Pz)W&Iq*bE`~oVNqo~bOPj=$} zc0Z0KqjFoL-VqML+y@z}55?gR{{=pV=0w<10~7GFW798Nj`-{H>Q49_^n_**KrM?^ zh=WJ&sFWi#V6aEHR8`dN-O&kFs)alHWl2R1|FC|03sTT-=HYj6pkl7AeGocPvZgg` z;ov(WE>+EfTP{+~#MNiOmC9uDmObz1W0X2$dHd#bfpl%;_iHuCH_JzIt_*LU{HEsK}pxM(>u&QvbALFH;ezs`Z?EN z_zl-({8LQr$~P5r%X${Xs`o1RkCk1Qa`*QrI>|9ow7dC&qx5ur-AkZS2f4){qzLx% zUB*vz7KQ`E zP<^Ec7L}_W6qWIZp`~lC`@&G+V|DVQu=|$tEGo*}I#-X+n-|NIsv6e5TAa&8zVrSd zC9Ggb^dvW3atD0qvhb~t347pF_h_5hH&)|9M>G|;^)0~dO%l?2$f;&I3eJUN ziT4`_GSFcs^YLZ$*7MI=a{&Ms2zUK!a`hE#y}-~AOpH#VVRYU=?brO=^>ol>$*Pyi zSR4qEmQD;I&hu!CdDx&*@rq&hRT(-cQov*gxR=~H%hZ(3V%E1N%;WV%WtgJh>iwdm zOtYn{TgONnr1e?T;U&>g$Hx{tTAJ*}ORgxz8GJ9Zc=RwASzxLH{SrN!_j@}?FtNt~ z=Z!B@tJ;H1E$MCt@7swy{HxqAsNf+OVxiw?Bq_&tJla)3%)9O@7rm>quxoE++H5DNFujjq{2?@3vx@fMc4R(d%AswU7HAJfZ6$=fb0_DT#&dnggk#v&?{vc4Hr&0 zE^4NDRy~s-OEQG=<1Gu@3eicDeQ@GBA&R?3sLiJrp?|`;AmHXq57#m~ydwDKOa22>6(t)$0J;dXmW%V7)IYjq zU!&(}9=49~7{Lff34Zjy7AnjONyV`0X#8$i-36%RzRlzP{%N=0?MY}{hki$RRhR?; zcAWGGA0Px4fde1ROR+uY0TeQDmnA&BW4QioLm5Q;o^f`chBx5Jil;89ZCH z8{k2^SMkQ%Pqm7B&>VbGE-Pt}K-vwYN&H=X{H%VR|2o0Li4LFZipI&ljGqj@GTM4m zWbct$TM=6d3s@%3xfI|?I2m0Y&e?EJ#|h&7njxCcf<$Z=xGCL}Ucyax_cYxTT6NPT z+X-xk5qE5lf$egLm!s&VpGyW)ak!Iqb?^tQL$BE;EO;_>GmNEhx{&K%rW;oty78Cn zzSCkom+!~?{J)}n{@_;m=KskLD_#DSn)M*@{pk4E>fE+-&Ib%#LkONtLr$k_DB0JW zNKoCH9zNK$VzqK(2fW_6X-w@6u>&!LGy45BL|a&O)b?!X+nl%jLO)(1#&&*Of0D2) z3w37|O_ty~I$)>irKSiiTprQX;$c2OAPv!$3~f3&yemo}ixd#2k04Y}q=IJJMuV_X zRks@T!XjoJhqL)*78;@>%RTB9A6~e+HOJhla1P1l8bndiwi-f@P>MU%9BGyCDI({t zT_1WDbkaXm9Ai~cMkO(qfa;X56`F}>Jk;)zS*uVjUHU2J%0m(Of_YP8}Ni-kp7UqWRUt%LfQMebQXq2sh5fSQ2d&N#umR zeisOdkgf!bB3l=763*()1B6Hx7#eD{i%xQpO>%J>Dty0dg`nNQ{cOt^ahm+#mto@Z z21cdqOgH^(fPeXWbHiIwj64?~;LItshA{8e*kJFkGovTggo6MX5Bik<_b1}71NW`> z-(W^RRjr8NuDPw>N5(5W`ZCE%7pGG65M?2^ZmZNT(r-fmP#SeRX>I9;MTw7T(so!A zQ)+_2N-gdM}>kgB(nTX=0BPNkwuY3H;7wh}iFRVKZ0p@kOR0Zs@zRj4t zq^B9#>Fr!x+^_ijYlJvrQ@THd7_#+bHE|;-%&HY}B;E!S`I69?#KO_ZX6{{jbfAt5 zqqjy(@06cSDv`zhg;1cXt$JauGYM9$f7QVXU02uOrxy+NKr-5bnBAd0kGScXliztp zIGphS2iluSFproN1$6;`mZc7u<$|InVSU91yEYrTbq7eZ1g_ZOv{e#x8W$@C5R!_` z{F~qs(FSHVH3^)S@Xvp6=>Mrla&}xjndQ`*htkLAWAGg~AtXIgl{tk9(DZC*y-=+UOqSmEtc^eW`z{tjNPOh4y=@nfOrJa|k56 z1s{qKCWEw1D9rJ|HsP8(AgiY3zq4;-@Yp?#chOm8$2Wy8O~zPN_{$5_=po#CIbjId(wfK4xPV#J9sH`%JZ5OD_As+};!qf*=1nd;Z=g$OP**33r?P6-jsV^OpEYyzGpm5$zGo?|+2Tc>%9pU-F z#l^o19_E7oBHp~R3lNDDpL(bgcW*6d0>EX?&01(@qz)<#!8rk=;WR_s{eX(EILs)@ zuMr>(UcrD96yJ#7)_C#_$&D#pSb_dMj#FOGAdFz3%yYH7^W{0_4t0jWpMXc~yl&m4 zSshOk^MNK;yWOrr%zlA;M&Mv~g)nk)-@RuVwAwP;FGE9ov9CseYc%1V(pj zJqV8FxLb>c)lH3!^aFc(IPP-U{+H;-Ba+~@ZDTNp1EMq$t*9aYdnf<(jvPfRnl}_m z3p`X(CqTk(6Iq%TuP{J-ezrXdZs-8o&|FoO85!p7bwaW6=%9deMuk?&!tlG3C&bY_ zAB1VvP`|M)AoHT1!N>b`&RTR$K}nfo(m)hfT?~#w7Qrq|wA=#&ph)9VSbw(Z2~ zhhFY`@F#RB7vZ?5@LsHKiJcM1=>=}s7>r<47hkVieI1um6a{DTzHi98`(q5pN)$)$ z+r&IC`X2|w-6jOvtCK3DgTzoL%pN0C2laAEQ6(y@7Ylsd&-)N!aI->2`?G~=+s-s4R*LrDk#3mb-0fW<%qhU{a6oqmE!f5x;D*zF@qI4E zI2SHdMc@8Tj8-FGHseo-6nf^x8ftCSh4}I{I@7uii~Q)TkEW&pHM;%)82}y#%7--+ z(D?{I-%fl&oqS(m(%tRZ4OJLATySjakYyV5i&y5s=m^ml@np!tR955GP4|=2)+V84 zldX`*h&h9O2y`Vct(Tb!p&lW~E%N{AaZ|z~SO2eHmX(GS-drr-`vq4%J9^&a1ncWT zpZ7#*VTlFye1B_~w!)3@Y$8bdVGh0wZ#2nVao1ik{_=2bz1cEv9CwBFti+l96CQ_i z@HBmcN-AcfBK{KZFLI`s_wMvhwogdA2)ooDMKtadZmO?E7RHhMF zDM@u%y@%gX)k~4nS52b(VL(`&EV-2YbSH@KNrZ&T0cVkS9+~WoxeJy&*{$&MM-sUT?Ek>U&9 z-kUM;0@?ZPvMM}r;+AktFSeeM%K;)Iz>hi=e)LopaxD zkXN(Yj*6=}KJdxd^F}2-g2YZgmU)0t1S+VFNZ-4oQJdE20m4UDc;?tHm>1W_6F8*A zPMXw0gzq1poOyu&(}q84Q=(sBH?MEktLnBLzc$K+T#pPowwd`^0WBL5hOEnXy~1=H zOTGBxGnZ)b#`#oKLxZJDMb2xJYNo?f>(0hG;#wZKB^X`DJC`>SDqH#^-4?r<96Ygh zm)^7rYR;V=ZL~C-r<02di!6~F0Gdsw0?E78txN_Z>)T;-kO1-Ua9i)>yO}bSQstAo zDyHkg(^*WGt9JtN+@_z8E=?-Im_#K@bh1X9&@#=wm>a?{fvP<{9A44bisiMBHriUw{3`RqCewkJ$*9r&v_|eUj{%1*I|LUHY;*&=i-@_a~o=8}o)dyioesVQ8dzRmUZ)FvU}$lq~cE7CINYK-QY* zmK5~@t{B%1L0=>nqguao-vzx^w-W8QnaYVAh(?OlBJ|c*iU4*sWN9+gcHHd*{UO8| zCgo9JqmjW~>lq5Vp{Z1NcC)A73NCy3KC&zn+Yr@ZbJFnrOYI6b=|E%jO}U{zsG5RA zi)VsObLL(<1GLBAY6k^gZ&Y&IB;U21bLQhz1ihe>F_l1NzfZ#^I5^_E>m}X{!m4nU z0Uy;aMY{-^Aa8pJ@6sa7m6)dJ%k0@hD^bcJ)n`BHX_nl821lT8_lxT2dEi!j!e@ z*Y+aVDyLR-c=t+N^t>m=0|Jf|NUh@NNRUCM)LXh4o%q~VT3D(XWBv{GAYK?^Axb4A zJ{AM!+Uc_+2xvNoQ@fj|H;rcAUqUc1w27o^w=;tuDf(qe=|%Og`Gi+PmL6mhjm@e1 z>r+ZroE#m+#Qu7;mH0~N;2@uY)J7}Y=YT88aQIhhY*sz5RUoW}W52EO2}@?FakMoC zl^TBYrr6c|SYoAuV@wk;i;kh83YpYh=sZNfdD~X+_dL0i|JxFcdgMGBHylv2@=~w;M(gimD9;| z(Cbf*3CH80Np^nusdi(VLDu+I<=3n&8}3G!1E(t1TW? zvta;(yF$GvxcEpJp;@Wn{cxht)cK~#vTwC-JGE&I?&~gnrvdm|$NLi=;=d5!TuFr>& zNvmx&J-;vjhWp!0pn9Yckme~@Qz@wRw-O^kW^l91lkO98kyF>|ge|bFr{b;R9fw}^ z8)0GA@h`z>u% z;gKiJ!`8j$b6gq2@I?lHV2)IUT734RB1RcuG^EaST`5ihL0>^}>}vcz$W`?m&fPB- zKJj)hii6RmTXl=Tm-mR(!9UaHZ_K&i(BJ|r@(Y~{TMAAr<~4qUP=A}1PO^niq$y>l z@a8G+ge$aC7E(a<-p!zBYC`Ya7BIlEe#7dn%i={o`GvzS$WXbudJ~otH6vS}NqRT$L z(5g5ntxx*9T-&NPZM{oy6;M5cW-co$DYMfiE=DFJ$0LESY>Bko<-e-sT;7gh6f^We zK6>4G0cf8ip&PwD)1NR7w9+@$x2>{6gKjj!hY@ixrnuW=Z&Xo)qpe;~a z8wpkq@Gg={&|`@81$`5P=`&ML5W6OZMr`D|Vo}WB5>QNVfqm$BkB(KP`}kx;l7*{7 z;5p^o(JP9@1I7m7pLN6LvPh8T>S6N_Zf;xR9W8Vbo4mGMq+ZzqjLHb@*DmDSUfIP$ zGJC42*W%)kolC?~7PBf-JA@4a&?!q@LxENya)Kah|rIg8S- zn3{afj$p~;;C|XagQFTpW+YOEcegi?Ah!@7kT1KChPFC&(n=0p|D(CDQdE(-( zO`gQ-1+uQ3c^!E`2=y8Gy1Dl~Od+tOaMY0_s`I#<6!O<}9Zbt|w`1iE77P$4dkzYb zF6rK)%&*y!ciOYXWFBNOkGw(5eK zgtuCO=p)yYC{)pPjA7!I0JJi?iFcpw+j_VmU%5ar0l+VR-_==ue*wsaYIOPuuV;ND2U6v=-8 zciWV;bt$PBr#ceqlI~wptk0;wL>M6|QWkF_^K~ncSI5Ds-?a{Cs8m2ZWK%!MONsXe z$?hNT`xyQ(L`Sua$VFY1H?JV}JDK7Z@Nl_BI0~`mx&4`$=9HFZ@NopYHH7janG=0c zS?7b&mC5Eh*~RC^d$33V2L=uo7`@Q}%m^<}tJYQ@b^A5a+xJi&cuL8Y7QskUb?>HZAV|+r93TB*>bdvWV91INxj(98WR2bo`pZcCw`gn!F*E z$#qbHNXAcdsB8$P76x0O7NPAyas$2!DN;`LHZrnG1Y9~eE~f%xRD_SM_0RUJ=1l5M%OPH}tqysVkobVDX#mfBE^XBLC!lXY@g3Vnr~UU|3ZN1l@Jpl zW)czrmyuyf-6RQ(r#^Q}_B(P&g?^f~=dr5S0rt}LhqCLw`#(LD&vDPEj2IIKYxm$v zi5dbcfVIrND~U#uDELu8k0+&#ANoRpaG@*zn0(iT z9muu#C3)AY=?}=?j^B0>)umWN$xSI%`@Q_>^TFQJqXD0=KSc2ONY$N@KP&lgbX5H) z=lNlGevyLpy^Ss}+PvF=Tfr^KMfPWRtSeb^_{;&_^eIh_g5I}zWP9;Ob#xtcWg`%; z%_~rT~y;gM> z(`4+c3oQ^m>C|4hWHmn^RzSR(#Dz=p2PC|ihTrxyJP_}fv3$9z6}OTU8|qK=VPlE+ zHd0$rZ10)QesL*K7bdC%{FF6GBo?{)gC1g{(tOXpN+fH`X)>8lv!eXbYk{|h9b{-Kf z=!-EgIe-G3BFIGWtXUjVmRR%VP!TmRzcGk=HbqGGoxsPK8n*u<=`6#dYP&W(bazU(z|bNs4bsvv(j^_z-QC?aNK1osOLq%MH%NDX z`+2`V{N`ZTd+vL!>pD+&FhC0;gEFXJ0xbO9@4VWubL&6SXFP?Fo7vUXY9E$`b&1CN zgfN;GhL=Jp5QtUp`MIT#-m1cc%>Wsf)XYL ze^a;{04V5JrctinFwGwgmkXXI_ODpvfz3Dj=mV`{?~}$U`?^ldM$_m7N3_;c%{c$Q zp$Ny&ze408aLH`cD%T(_B2teyoHGUT)1?j4o=*AA5Zgu*#9e$L;j1JIFZpnq#Vk1o zY0SW(!^o^GT3#e``GMy_COYWfJKWYjQys*qH&d?ZWf6Gg;v>_(*)O)~L_4A1)ce%q z(R5loqjrbQ`b5=qrVYF@gIU$=8xoOBObZGayv_AfG@Xy-Zc+xR_K_a*>ZaFF=JV8* z3mT*=M2Hr&@TT9MBOlc~C>E4rg+V48ELSCs+_+p{ftm#ni*gn~5Q!c%d5rF0CaM_J z;kXLFh*!Pk2Namz@^(A_S~R+Hb(y}F2$*gX6k_Cmz%zu~81gXredmvCK@B3Q=J)Oc zvdu_!;q-!yIRiH{ns`K+mCeoCZ22dRTT(`6TMN(GA8#`@M)Km=}^r%3{rkBoCXl%BW}>j zdjQ(;4jT#vjmzT~7=J|Pr^S6o8;*5w9F@oqulWwo>>X+Z?j-F*&rOZ9bh^d}`WN#~nc6{FS#cCVB z%8O*aR;t10U?r&OVhAD;z~YD@DdylfIMjmYULJQ3eJ| z9p-1|QLa=r1kys>p_kjWlarGOtZfd&k-k zm#Los9p%^Kd=lgD-Fb^mhWkG>ol`dTFol2v0&cR zow|-Rkxl-45Hfb|@vjr6JXlT`37+j&dpH8g1&r7qG>VHm9apF=1tFNXh$skPy5_ec z_=QDdnaf`Ay~@vVA_`He?W6kuK6<5uHMdx?Pz>XS#+*N{~UAep0@da*}Zuu#TCR z_&CyMEP>fNblH4oSDQZQXj?m^yye5e2W)OBg~@;nhj1PsCQQv)y`9k|H;PF;)54bm zHPc=c&Mv`pQg#ztbmK;|G5=P<|E!WtCtIo6hgztQT@~?)qNKsa0j3qYi@iMAj!!o2 zE9-Az?Mi88$xxP^hVrGPII%XBY;3p-?YSykVf}UQI(hr5ly%!2$t;lb>ol>p;8w&{ z4#((E@}VQXHh%cnY0+_1R+W|=`U}6L_@X){D_Mag-p$^mdS$`6%$`H9AH#xg$n)paT=|32F7ZLvqfnP=+qH-?EwRyLq1ZqR^IB0X(z zAnr^-v?yQJ5h2~Pc0Furxp&6(F1fXH$H}n$`}-?bfu2y2-%%(M@@_Sq>p)wqL3~mU z1jM>d80Zw5HD45k2efOj>Dre~vjCGC9B3a;R9l;<{_?fT4j&#zQgZ_NLjPwBVU$MD z2QFFsCFRJq`*_!oHjeU$DBADf(bM`heyj~Ivd>o!LXkGWF20e(a=CQTdfdEY*3$E= zWR`wgb||(ZN4@&J@tCQ=1@+1+0B_3!YBQUg1#$dC@{# zj?>h+%ySZ>M>SQAbG!pBi*|=^P@Ec%yCf=Uy(ZobjtVNC>|zLGI*f%=F;Yurk7)}QLNsTk-AT*i)IrPSti0LY4=x21pX{ZjW=51g`_MvK<`~dIezkuWeN=YZ zn_YS;*d%C;qfIYNp?2nBktli)lP9%}mSyaQfb5ei5%9jt`mD)T+yBtCdH^bF4y3cb zso9ZT?a05`pAqC%b=MfrgG@7GZT@(6s8sZin|~sf@fH4Zn06uWcU4KKydZs$v-_<2 z3Um>G7*`390#`B3af<5yON=*|;Iw4SNd&+ltQ+BX9RUN=V^6`;*N(ODZDNtRT3Quc zQu}iF>Gxoq_hPt@*iB5G?ZWUF>Ov(oFBg3ytTd#&&3|F3sfOEWpDW~TjX88u30$ut ztHMqPV-2Pir!{Fno_8cM(i8mU{kXV+)Rn-n);g>wrDznYrpR7O)rwym+iqQ1@l)G+ zTpFz>u&UTihY58s`@Co+W&eJ|-egjpP$~3VlYaF#9UfwIZ-;xI+of;q&9~#cBp51L zpW+JHxI$t4K7e))u>6mBhs1WGFA8Yp&u)QQwRW4U-;I`E|Ku*SKw62&Lz0M&*Ym+a zxcmn)OrLXQuFV-F>lzRQ8%L?x*K}A*VrCnOm!_jpxivOw<*Yh7^3Zu{2yklLUwp%L zmwnPBj7o_j_Z9x>^)4;0$FS?Sj^`jBn&Bc&^ z*KKj~oVAIWO|kSN0#Af}LDq!u$(Wtvb?EZs!W?BpJunr8W$GGI?_%21zPiku$CuFv zD=Omm(*P~}{F2kNrYYi4eoCq7C?b35!s*$PILRHqmue9M!MC?t`!~-57eVm+vA{d6 z#s&#G*00FfZ-;efXVtzpU}rC2m980eI1ZQuy4MVG0Uz`aDU~@3I!7`Oc1F8t3+{n! zPF$G-9;jnVG1>^53H)jslo9q!`9VJh5`rcwtbTK`7R7QL5B;3}m3sVly2eqa3KI;( z-0IRpP|b^eVB4``9<|SP;1BTR)V>tiRP8%qN&b$(Zp5MJ5vS5dsyw_oUVJ7jJ6b7J zeC#g1neWiC`+&HqR#++FU-NNBQD$7$dJ=@7;x?^J*@18gpQ=9Vm54Q=rD7kY8G5Z% z7oe6R0Y)0zb-!Qft>g!>!stwdTj4PW$aRLCn+*ly22*~zQlbM{6ln^+Hkun$H89cu zCqF+xF$6Dha2-*^{>*Y!4R-*5-j{-nx^K_^*1e)6eFgaf`ek?cOm4tKvWFBSoufOt zKkqI6T7vim6P}YmW3B?JLpckEG`HcvoK1*)A7g_OLJmat%m4MQD7fo`uBDbDLy!qL zeN9&z({OL(tWx(L7)kp{Tc!|+E2?oKppx+doyp=V_#RkFL$DU`3pcoD31;%2z9b(} zIxE{(N)<|@==Pld496l?y3mIX4LJ6tYdDhbw>Ppy((I=uK&`EN9AUmsnEAeI8`9nD z_^cGG_whD!+m=iE=f^7##IZHt(CHg=pqxkttY!4=yX&?Dmd$P^(K9=?FoJMj2Mh9nP5I>I4qX$m&}oG8iVxj|>>4w} zNqVYe)!^FhjuwldqL7RD_Nh+X7%22hEq5}zfH|(55mjsg?3$uzQ}pk(+S%FJ!~l8= zlLy_;3W2~Rx{4Z(HY~=MZVm?7aF(W*)K}6f_&X10PuT8S%?T<+`j;IvaV>vn(DzTv zXd2pF<)aqNgN$K_l9p`~#6jjanJ||;aL;Z<8&)4VY#Tk#6Pztm7T9q8)?~IfkPY0^?&$g_lgyc z8JeK0-EMk_kH&hf4}RXhBaD(tq)Y!2yo$W)7?95_OL6#~x)G8LWCbC!%rdyK)O5tA zVs{WV;~^HD9k244Q2w8#7he%H3~tjFg^H@RM8B@ygds1Ra9!aZam$>w;PU*Q z0z{A9mpa8P935MUNAi;2AE=upg@0uKa4^JPDH~awXc;yg(O;h6PZ)!!RnV`sJv^%g zAn0Qqu102p(ojy*14EtAWUroI)>uwaZM7=UCZfr>4UWfgM_xroEcWrH5SlSZCl5Q6 zgZ!?MD&I%+iXQ}6?twoT_wWqaSB!$KuSC}&>P1TABSYe(@Hw0Le!c^DMzhD`+XzU} zza-d1r4bUE6gwpm*2}};vHp@ckF>d+0Zq3_mq9eeC?-)GwC(*rHP*deN9tB}!OI>h z_&@zBan$NKm3eW+AhW>seXS>fm>q~jhrBlf`en$EMCb?|CiRjGD9xIfhG~pk*Y(L2KGJo z+-F7VT`lE)gX9Do2{9v*0A1tiqYj6L&HBk~Cw(X~5x34>&K1BMa&ucGrW~yI?KDqBfdaHgL6&Tc8n+-R9P_D8SHYTLMUtm2_pZ`>^ts0y(%; zNQQ_Vq!3N7vnzpIU^A;jGWd}-*oexag-E-fHW6DP%7NfaE^BW@tG}%f0;W$X^})-k zPDOEd4dyCVo3-I#NMcGPo8kUou2Mly)6_(_`;s5H#C`{P)@-0(j)dtx!8R6eYnHTC zvWPm)4vHdLDbb+cN6mun+=*8v2x>sYz_QjZIf^6LA18p4$yQ=6M}j|KmoNYUm7Mpn`13>Ki~6@Pw!kaL@o5WZ zxgNt$)XU;4&J!N8pK+ZR1A%!Asmb0|i>rW@yr?9oX#Np(9ym6R{`0@qmnvdbR13s* zfCVRqVWh`3Z^d)#QF8+oKDW~z!xZ$AO(Wn51{zTA7qH7liFE(7;%sUC)R7$e=~Oj) z*o`}70*?1Z%LbHJ)FJ`V0Jg}1>&w)F_|of-we5uz^_gW*u`^djesmd1M}WPP)X}W0 zd|Y86EsiBONu_4gCO!*{J{wd2R*HDLkPJIlaTE{5`}L4=%^EN&ta6-OCC>9*%bd}8 zttN(N}&A>JehRM0m+dTX@^f6b!$E%Vx1l2YjgsS-?uQx{>^K;)K{(q_Nm{GCjt%1Mi;;IMuwAT-Er-@mEl`UhjKjrF z0st*uR9MCb-!m6 zrU(_li-?aMe0*IPS8qvY)=NHGGpfie2yV{1==3E&+Ov|C59Zn=JNwk8NMMTOix%8b zN~N$#xc@Fr_tFtfkQ)&wqh26`9=8v*C3QujN}J4QKe}McR^uWKVzIsTJ3fA{`N&3y zCf6(T@tSprvFq}Q?QQN*`VlAm`Br}hf5HoOcs|{uFb=l4@iP!MIm-#x)4;h&jijYO zRRd0{NpxZa!NaCD(Y8E-QT#I82ak8{wYUJ)TG}gM!oV zj8EhmX!cAr21Qeq7)YaLXm5xQ5RG+*yeJ2O&C2`tN!;Tu($26o%#0-9jyb7Y; zZ+u1y3UI>2aV1>Zh;cBln4bwjV=_QZ(*xt(v|}Iw3FyDqHWk3B^9o-&m+s?#1g7@8 zq+!ob!zs8?E@tR2x}}$rCrf2YvO-HC*NMG-m)so+(EBb9tdOnxki0yaD8&QC0^9H7 zYyZp=%$6MZf_;Uu#+|c|VsYmji8!XB`e{b%fCd1aY+wn4#IiS`@Ir&(;*$Ti|T*1W6K(r0GB`~#h14yayDa~V!3N_(I5Ks#v&u)S*=oxIKSF}lU`ib zn9$f;P-N-peEoWUp08O!YVxh#17Fe2)irB;z{WMHkrp_TQq$!5+=hflOD7GRW}3ya z2QNEE-|2+!5TB(Hzeiq{E<8*N8O;tC@_lwc=}^`i33)8%xB_UoECzXV#Ey2uAb`jU zC%=|&Mw~k7C8jIX9z?v4i$xeHPVqI2lR=W}(?9OBeq!Ao3sO;9M8(d3aa!XNbyGJq zXg6j@^bP!&7W_e47T9r!$fp4_aa*QP_{&`IO?LQ0jtk! zTqH`aGT#Z;Wl?+b*kgY(P*JS&lw)LW^qZIm$Uu^n4E>bV-33+TPC67JS*kb&o^xY$ z@)MSEnhW(eGVXN1OgzK^JA`(4Oh3U_RVk`dE5QB+ZA^(lx6^j&axGuZ*?e zQpycIiE23L<{4v#^7$Ym3-s=FX9wPhOwTB_o~}oP`Dizg%QU%m^}mH#Ml80~O1}SI z;xjBky3Q5oC9u^@Bh!4Mk|h2=k+UMnu#Wm0*Su8(=fcAn>xsg*=x|Q`cBer3-q^@( z3n2;#wXr&u(V1QuyZE0mk_xFkY`6>ioCDp-{omRY_WeoMJkF+IP7V$_*mk`Mp)P|P zm7JPd77mz=x;b~6sjCYt+TC89h*=~YB15-?uVuC2M)H>nG}xvDY%|zdJq_F{EHHik z=@=)sy*CM1CegKotO4YT$mc8WLIar1C$PAAm??Mcl#%pG40x2x+}(|yL7qJRjXQ*_ zWz4M__+5T)uX1eg1)9~101}Tf8=(8k%25X<_0&!9XJhsBjO0!QJ1`VQm@}wMD3vdp zodkdT9uL8qbq(yKI@`TGR8G8G^Du)r(57vy4mQcW0p?VJ93bzzH=YFyxExx$yzXKR z4OS^ZZ_sf%>wzcbn>Zxz)mzgvrrHjV|nyDtUY5}X$ z#D!0Y8*KUiY3!b#uMgFHL%R%~lpEj5@-I`%W)GvK3j=S@nLS4e{MPnbK|5 zMBB0KG}V*IO}arqGaxusHAnO;^vJFsydx?Z-*+0T#3FA~d9vouV$Ld3XcfNZDV^F6 z0H$vDI$%b|!+W4k)$A|AO`RUWM-ZdH8avd{9;-Eh5VIpTz>y6b?LA{rvMAA;MJm*& z&lF`{L)nhAn6PWm@()Vf%^2JSe>yWHx{4KZ*6}@DY{l* zI14ImpG-3}tL;l0V4~ALT2U1xaB3R3dj{K`VuKYL4P_i{ZR26}%8NfJ# zap1{*Imv2GH8^eZKfC^ii`CFd|r>z|&?@E*`t&^qr_b z=4j=h#$4u_mrD`-rkeN3p6nIOyfb_+qr`__1iwyX8+^XdFnb`iu$DUNwdWtlMKd6+ zU&rF?EIS)gyFg-Hsl!5OX_fS&R+|N2Wtnnuo12-eQ|V-l?O$EE|H}qS7!LQRqEoDd zSKQ-_S7w$%y645(ZirU?+({{%hlSx7F#a6@WxvohIY^i)6j|MTUbd|F#qs->EmL;e za4KN4Ig-pj>(xFrp&s7TkepqmUIF9wrMa)Bgso4%_$|CAcndH5rG! zPLFH|#Z2C#XoLfrnn;V~>6&71)W@xIqulc34hva{N`XhKRbdAJtB6h0P3LNGD%v`QGt##AI>HX!>l*@ZcDa z*GK?vA~F?5yv5*Kc8_`Z{e#r*XDfUAxF=nYv21P=g|2mW7Vz8eKTyUxO-WT9%_%44 zJog+RZGFqJ3<5(_i>oJlfXsBWZ2Mi|boeP5+2T*%5$5DBXsoL5c^y-orLQDw?Q8es z9955R>8TVtr@q5&WS|w=X;Es;ZG;^)j34q1z;mlNM9ay~#?W)|7a-h^@leDigdKpJ z35SV}h9c|Zu4U#m&J1`F{7@4kl$9+uszqKJl+wo5>@ri`3j3hC$AuG7Segse9wK!J z324fHf2-1rnx<=;E-g9Kl~huC{BMvTh2LMlbd9JsuyQgfX(~j)zdwxyQ{^@RaNvV_ zP_QEgw2RdQ_a(p%eW4OJ_E1-no9bCpN~v!cW59F zU*R-R^ie8NbGA_|!irgs;n>X8!D@^kvL38zvGK0rEvbE$=XA{MlH?=n_LlH0x6sVG0*PAyJ6W}(whX>w#WAU=JOxB1_W%U_&&~SHWv5<0+jQc zINzp8O~$qd;}pvn$88x7{u302Zv%*QX903Ns#lxB;zkKNlmm~#;?wLP56X~E2+JM3 zH!UVjc3{R1N3-^Fl>;hO$>7h$WRvX&T;*?M6jG^LGdFV24vxBgy(?x@l(P6tB=P-@ z|6a<|dfkN}ESmI=_VGUfuoNXOAq@-E(M z1`FykB|@F~7u{F?&+!7$aZr7yNNW<`WKwMgzB9wjx;LV*&!LmzH_X`!c1;DdYP>~_ z?}|BtGt?LhZlmOj(>NClF!VsLgR`m_mjJ-0wf z3&2sJ?qfL2gBwqv^8UZ8vMBfSan~!Dh&0511MsvYs746rX7G=s`U`KV%jCR2z>pT4 zq^oX8-7O66m<2c0vfs#V-bT#YR8>CWZoQMjiBuQ%{qHOD4-(4_@On9!Xv3oqX%>O3 zWKOjZ?qk2bheCyxO&eD-KbZy z)Y=dvUC4=0OTnrr`02ZnAT2S&waclq0B{kGHQ}?*|8$JRq!7q1RfLMT3CR-k`@`K~ z{a{*YE^CW>*L$xR{*dY411E&fIN5I;fIR=Jwtb(zL*HHXaR!jdw5_@poPhNSBVi{Z z_Q)m(5?_r_Ho~I%ff+*VpoxM~(+Y;IbCG7n1;O@Zym~>RyA*OA5+f%BO_jfRnt^19N!2lVaDBnmsb#pQN?`hHgS=A`)6(Y zC4o=r-twlSrd%=GL(9OEONE*5<)59Ff4waoGDN+Qddx^;@mVxxq=h9i-h2;;{znP3 z7KkmdCGgh_*~ol!ET4!|$>pQ5zaXS~G2tTvScKhjI2td*U;|=wMBTq$>sF2Jm(`mg zG{y^%6{|)E%;16v-a?^j3)aRJTdv`iCi@sp;JK*P?k)>HpOY0Gli%sq2vz$ z9=>E)HJIqR2;B*<-T+XiQ=NyF2%k!(23k0m}~>ItMl(b7Xb8Eo)WnqOF0n2(PN+h7IvJnDcm9YlxNgs|-4Dd*pr=h$TuN=gml$*X0E$)d zMfIuS_&ze$>u5C}0=BNA8r7pV(*YcHvBysJ-OqH55d412%!OkBCa@sg;H=DXZH45Z zA4tFatD2#=}S%Zf5 zox(}OKY%P=ufujiUYm@5nQVBszh2{hxD{M;h}{Bk{on9DVkOcJysS?5;>b}teEBVn zzO9_>T9APu()Im8ZQA2-1l=Ey)ASgg@1_~R&gudxX0(I0v(6;tW4NCH>g@@*@&I{W zSLgE6bl3XI`5noV5XgX~A{ez&qd{7q!a;12iBaM)tevk)At%(HBrL#wiGGg1Nt*?@ zNyl*ZZN}3}=Ci^eMe7eW3$wx6qId}LL9-TB)4v>7(_4H?r?+p*jiWSZB_xwT3 z@4g_cn-J7z7|H|&m!x&Cqso*rNa_)r2-b}x&!Wxjt#6U4$_pb13M6Qgv(Yez#UBuC zQSQOQX_}2Ug&t>ESR#Hek63G7x_#B>jk#Ct+G8=bn$lC6pDZ%^!FCB?<*DW8**kxttAS8;y)}a!(RsG@kr&SaJXL71^Ga0yQR~fR4 zErlcccH`MGZ}lH3Li#8h02q081#bp-WJmORXL&Q86^d9q6t5GNWLh5doB94Ky@V?< zykZk8o?QYu+)@2Pk=u|;LaACOwn*b^^iZvtWky-tgIV4p#2=O`PO24^R*t>r za7~37yq~>7b~>u(jeol1OAR19e4S|VCy7e_OgUd_gRisY_gu$QJ0D9h%v(_qw7&DC zDxd3d{;r}PAo?BO)Ul9a0wCTnV41YAJZ%B6uC)IkQEKnveZ?Jl^f=Rb2x@_8gxGSE zh~egDXZusXaZiF~b09!iX9LyiR`fi1W`RYKC5OJ-z(iIPeJip>R zCp&w}3F!i%UX!;C-oT|z54OwYpUPP-fu4w-83EOnzsgHtdnxFRZ+}Bjx{gh4o9*eu>V^DW@Nx7Ld4|>iDbXD3>zgZWE4GQ z5>oK~B4Kz3`X|)BG}meWue%WN66Gk8N#NW&KX>5CDzbb8%F-vL=~@!P*GB!peRg@k z-*gGR$hS1v$)zDf%L1a+%w=u~WNVhtv6@om`G>Y+Kr}H(a&gS5{<(Nl!cG6u(0A{*YqA%C#C8i+E*+o z?mp~mTEO2ca*8-Wvdnm+D=7UrQ)4wW31@gCp~xY(1-liII2BI$E7rx4>Xv>?IuX|I zx8sh+WT$u29)v!fHuAz6h`BeOV@Gh=GSKltS ztNkF3!sp^>J}%?~J>3k#U3u1cba=b(i;^U^>*7tKo+ysCwLz!%(upgjus0t`OzE9k zE!-iwdR$C0H2QVWck;U7Ov z{>7jBI>~(hE)K3g77KO|M(6@r&nh4G!~yTwmd~yd!7ud?fM_MgBL}z>{p#y61YP5A z`ZaUy5@>*578h;X}{s~()cl{$%#R6?DwC|%p{u-)9- zR!;b0w*jovNSN=Rq~W7y-?tszZGLv2*9W5KXp)^qNSz4TE3mDud6a~AM`ZbH!=rb6 z|0NOfu<=fIbl}0;uCi?2mhMfkW2kKY9mkmsE!Cotyf^q`jbuw~tBVJ&YKba@e zv;Z8$WIEZD%?OeYPga_qqni+qfyiE+vID{s(+9YBUi|$01)^}=K|k4O1O)}HZ9yE} z0Pj?C2RK|4Ujbi^a*QUTE_q(>e2a1cM!l4lM$!5b7*eKiI)cF&Dg_M8* zynd<|gZ#mz#sE#Shl@nS)9~+H%Y|C=Q~N`KEU%GNjTu*lLW!Cl>2)%~e>BV1SNW@2+>6k10OcX*AU6&J z*NgxXLotl|=|Xn>u2+<+A8Dif2ACQ6dx^9?SCK=2^Wv}rDR=|GAo@e1wV9!!4g(yT zRqRD?MFQIAdvXy-sMTLKU8elLhjyr5-*}afuW^GC=>ib1ZckPeZL{q72NuJU4T%4^ z*Kg2W!LX`L={46n!U@XzshKBxo~iu6((2<;I3Txj+j!3~rc!8s%xY=5O0SC>__ZW6?gUg^Af$22;#x_S!4ky*Mo9r!5XI_?~LY@SXF zAo%C}1L^6n?C_Gc2bQg+^NHPI;8A6J{RRShELqkwmc(^rs_uw=L=FP&{5ZB*2R_qk zYka;~@k2D*ajU;fGbZt>2$c<11m2v?)hyOdUrN+mX$w+mXhM`Eo5kywOttI0(RB8@ z=h`ocMDqjI&k5%J`K~`MKK-1S-08QE!@f7Q1hcOdyM*imBI@3X@ea+)4a;oZsdgV( zqLLp;E)K}M!c10Soj|+vNd2KA@RGHnQ)M(EXc5OcDgR8o33MG|XyJ3*SpUO__$T({ zDr8+na^o9t?1N9Ut^hTOvQ1cUXDTod$6-;Ubz#Dz7l77J3_1M!%qw%lbPyijoKaq* z44$F-)qYpwyy{La=lgN52XQ1Z13+F@FlXXFsPzbgzcQ!zFRWRWZOw}Q%PT0imiK@S zB^lWU&In=tLPTTYP7p>uWsev8R?aNNEIrmyZb&l&EwMg=Xf2cUgRnt3ip6TIo%#5V zXFS5MX}?tda__o5jB3;ZLM7J+QxsBWUr-l(pN9DFYIN<^aYX{dZ=eZ;%`H!?D z8xmotQ1i<2!mTSE%5N>?pM}Nl1e_0gO&oGP|r^}`pBDovkhBXKz?w%-TrTdvmkZlv9chO z^_wb}H`++U8lMMjMjVT_G8vj=$QYsw{k$e7lUif^;RQisNZ}A17tFn@WyZmky1TdU z!h*`C!dio}oURByD2)$lwdNy4Vi?UYBm^WYfN`(LZbRHD-jo)d{h9@EsR7WmGc7QG z-^N=1qQ6ctyQ7QT=f4ESyB1R}>~69>Qn6niOcUYG{Bx+<8;+ZhFtU5lA@bShH>F4$ zEKw0$)S68lTmC8&p@9mw7p2_k%irE@ByniZlNBQkN9OVw$PfTc=uwz( zKTt=rL$>%R&=JRQ332>C5eJ2YM@g(~vy7e-9ym8wWX^mEL*>e2faznWqPk=X>_*&( zQ7SQk%ka0Svsd;M{fdV(#At#Z)qGy3;P`_DnqYs)4F7lRGE29UJ<< z4lUdOaemOj^TI6jTbX8s3N=_#oKJ+qPB!vHLy9qx_18*Zvi}4C~BP>7sIlV7%UT2syqykuWF*rSanhl zyDH)tyL_$>qTJ4MqwYI8e9HgY>9o(kGtuw#25-Tv%@-r9dZB>o7l2E$`iKMxx)jF} z3u>c*Zuf*$h3MDzkPHJahZD;=7QKV*q}?_itF`UP9`sg&uwSbFk40a#0Iyt=!azE( zdaKWdZp z4zI^sYD*#U2~~e9+h3YzYM$0CYuh4A8^?V$6#o0Vfv|4KQHDPJua)XwJr1I;AM8#vCo6J#C2z!So^~7J7Op!7c z2%AdrN-f586dJ=rhiJq9?uoJ7r%WDSP*qk~-VA|1h`xCZR4N&S@%DZTU2Nesk=V@& zLJBZ+fmvgv5tXKCMa_wj3+)Wi>^;CNVS~QSz2QbXj}*shNot1|76??fpbkvseOy}dl$?Y#SB>B-fI5l=TfTO#81a4Gm{-A)7g?UP^z zXk#;v_y`!L;v9T)5n2lupj>^=HxYK}5uca~tsAL|z@mS6oee438}=6H427KCF~j+u zoY?WR5~BT!egFRb_C@-xq7CD1QB<*nuHWonRf>%SAW3jc2c}DjsVDDm6%kW6Kf%9DwWs}9nW6?f@x9Wi=Szj z>HmBIGrV{8>U&zxaF%A~xkew6NXAr>Gz`!6J{ACV%IvCs9@wC9oH(4pB*;l)obf?s z34+lckh_FntSUgdW@@J}{%ZuS+IbO}};3$6>eEs#!Xfq+*cUH#I(t4Wc?+1(V* z2){g`hb8CbtK4aYQPu_Gi?y+Rw1n(36d^E=_?+mUl@*DtYOGg&&*XRf^IvZueJRIg za?_w(sv=uaxl=!%%so*RcC8*vc0Y%#0_CPuz?C!V+41^#V@=#QKzuS9=5ZDjrT#UJ zh{wO)>?|B%R=;O5KHxkX=xq3ycvpKEoX+Z-F&rQi9m-7FZO*f?G>w;RsXMDB(=~Dz z*`U0UO2GMt^jeTv)pmyz|MhpDJL}x3C`~wN`7i?_Owg|m0}Uap*`2hwU+u+k?rC*B z&fD;i#tk|=AKvpX_du+HW|#$cFR7!uyF0z~P{;ea0N;?0JBZffY)SelhxiG=XA3>l=3@3w-&BE7%lPH4ns~p|uGLR%fm@tx z)p|CJ_PE>`o}R{utLI7t1ajgSIyz-KE;#mMW5i-LYhFZ`-@FM?DXeRw@&e$t`J^*K zluClUl`BTv4mgiR-MUa zkIBoj4yfTH1Eoz1vtP>aqQte>l{ATH>KV69;J4Urne%qGM@tDTa>T!ut> zI=GAcRe|SB1wSmux`h<#1mzsnrqPpG=A&DOHQ&~7foHQ5`}we;zd0ijUq{Ew%Yes) z%66q2{+mJeKa-Y>7Im+GBrI@iJg0sIX;w4C`Xot~Y&B0`^+sVHJW8z}R(!G6FLZrOh~;Jephr8Ll7nMr||w zV7ls4{Om?3Uzd0XU_R-|6opL1_to`e=3%T3S>mkM%lpM2*fGOM*S@rVrGgfGGKp@O90O`n`|#?G2W&}d!>^xw)O~}`x>inTe2*k7ayK|Xy_qHG zQROvFjet8fSJ}Py8Z2^4j7Qk|A#r2kabKg!s^4dav`XI;KW``wHgy;&QxpDov$pi( zSEuRrJ-=s=#59_-EQFZ+{uppE^1}qpb59Rs2>On}ns?iRcB7xZE*^qD(c;-*r!me* zDt8PEL9~c>y_4(yae+)k-nE*%Qs{V|IT01HKKJSF>8wj+(WNS~^XYWODaUWk`%aN? zn_*v`Y;e}Hd})&Z+gQ16He-7##>vhf3tV0NkYCE@_eZ6c#d6{vDHdTODk0IjVw_Qs zv&W9mXOWi{XA$h7KHsi5-_80ZKt@#{)~pqPEQ9+@H(HnH`xw!GEt<7f{Un#Q_PL|c zGNa|!ef5shiSio~ECw=I21xpfkYT<79}L|1VP#`!$PM7!RDYsIt96Tk7lW_#7sR>x z#6yknx@+)ib^=f;v$~e}hzM-+swS5is)4pnQW73cfSsvE#HU}=MR{;6r6y5{i*t>M zwwLaRK59OhI|c=T7Pm#6{J7rk4doY@qM@)Qqs5*fule|$xDBotxl!V0Uy16dMjo*h zVG&`@D-N9@6fM5oCx<&uAG5}RaTD8q9!dkfUd#f-L!H623+CM}zG{>l`s8o2DqFtY zp!)UynA~wxqGDHUr9&(|MjBE~I!gBAPsl;@B0ZMsIfrr{*9R(zbnz|M4IUZ}p?vn8 zXsR=GsAOMjVEDxAQe8nwS~omj%o(n;dHgv;5q{ni;2{}N)Ihe#zteqTzzdEzkoydY z&1IXI3t*fm;9W1KT7a7}JlXpa0A#lPGw#+y{`1K^hTxXQG>3!>)>&0}R4Q zYm2_$sK=EOU4~G1Vtn+go5B;d-%p1@*8Gj33=Y+J*6nt~6;&nnDA4)2qoMsG$>#q} z7euugOB{4NoBg`>Xn29Q;x^oT4&fTPiB$|=iOY2*wc1ewacZL*Ao$fC>NH;i(aO0H zhWIi~z9g<#M1L(d4IEnI{~VK#z_C;0j3>H2ebIX+rAAL-#=I1TPR0C2s{hN_ zn)oy`LyH#hCnAZH5WA2K8%^J=-5=-x5pBAFT7T+So48=Bp{DMmvi!)%6S{`k+}J00AnU%hV5`JFU;>*XIi`wz<3arHhZFr@>QI^^j6Bb#?( zH{zt_c`AVk)G?d_T)!|X^P$HD*8MAD$=x>ysgc_NX=SQl$PY!U2vPHVa64#W-dnhv zb>!G!A@Sy`I(Db9J;9%Nt-)ip&@H}c9Na{6|7AMVp^!Cqm4i0S0`!x-t*i;+LN0&V z=;m5xi^6GQ%&=YA+wz!%1(Y!XBH_mFS)$Xz_qw5|M2p+JJ&I_HIIeR4v<23++G;m( z`y7S2ZV3uu1%VGt@`zsvsNcz~Oa&SJX%KSRNd;u7o*l8jq81fD2SjYBMt_=sAVea^^55zny5C_`9hZ0?saj&2n`C1t`;fvoWF|u zD)SB0ttHFe$6AT>f*O8+N?BAf4v8-zjC z;Z!r6x6>Bz#mq7h^1=*7NdGiye8^gn;fiqwIrV42Er%U+Tw@-7Ay^Qm?**)&2DJ3> zo$N-;kFS=O)FY9njJB&FQAg6bw+y8c<+Ex+OiMrq0%sV%lmoMip zj9OwHP%kO}9R1OnCs_ICS!Rp+BehL^1}Z2tYuvcP#m3ORJI6pId2pZ`2sp z<18BxcsY2`!~veGnte`J9L776p2QG_>0Bt7v^@z`ZjnAP z03*)yeW0u`YixRAI->S(1bs-fWA=^<#z*P&vIwA)eo+}K6L}J{4?=H>;nrF_zA>*Kz6;DJQF7rQay1IXh5Hz*7DnVGL{UMk z7pgQP{HH@nL!y|L5KS@+7GI2{1GhEws^DK;Y`mjg40N)F`Tj~Sw+R}B_C4kZ4i0;cwYdo*peu4^ss+s4)m!^K-aw z`Yd3rD}op+XOPS+kjN^wL!6!kR7C69mT;vImJza^s zCGmhj5Jp4y@86B1JAUch}X$3s_Tj_ zD*HF#%~IL*_E&Iw1=!^lcFptLny5x(c1CN1p!8nzUs63!zi+U_i@G3f?x6IbJNjeY zd-zd$GF5X3W~%hPGPQTc!cOWzn+~1}cq>teBK`*NU0H$6N-$-$prye`TGe=8tdJQO zK}Lb=A&KKi#g24`xI8jPs3k7-7!X;@Uc=FTHSn-4ZM!!QkuK8LiXL72Eun*!QPQ1I zGrVuS_-LiDFiYFALo>zKL;_3)K`0!^BfBNIy(_>)(TI^MJYrTj29^;J5O*Nndwl-y~z*Rz}5|e zn1dgdE{EH|%|j=tj=R?r$c}(pWac<bpAl7fK3vXf@qN9cLLTd(QC+sR6MKNjY0jD-U@IUquz=0`bn63FtYJbn z%8Q0s-9JB`SW zTsoF;$_h_ZUd_lh{8UOrz4->jY%+k*2r$Bp4YQ0bz}L_x@YlyQa4U?|m?5?@mgZX`A<6-Ur;tf9^vzhNDVm*fD^C+L27cUa2A)@KTt>GtitlXrw z%=YAEb6uQ9UCc9UQ}ioYp0Hs9}-=6{>AjyW$5GVj})%9V%G%o^Wb4amth34KJTAXQQ~Nj zYC9&lv$E{0o9m`BpShZ_4?ClHJh)$onv26rtj}e*A!h;|1L|9RkYd8A3av^s{a@I2 zNSf{qGJev>eHiG#(JuI->(w4IU5}03JC+76akZ)Cf@&&Az{5oVH{(A~`l==XpZG5U zSOO%FO^Dy%vf<3QMY-d$b-%CQYGZr>mL=dr0o+brhoORcCI_!}oHoxIe_g7E0 zTV>RGIHAQpQ-TxxYPH9Nn8*Ty;C)8&_x`(7sa-1${$6$}7x*tor=dBohA^&9hOum& zau&*ELo!Z=!(?{MA>3n~mp}N;ziR=5L8?O%pWm%o6zk~qWs%F*}a5Ki>{f(tp zD=RtH^a4kXQYe-;yq@ah59`J)Z*E` z_jEW;ot0#&K41LF$Rp$5X4>uowjcw7Q{&ntt399KC*^$bFQJv6KR-*F@yeupVCC{+ zqZdY+Ca@Ik5_4+*7~q1ZA&e%NDp! zP5NpdMWaQf)>#H!(4MUkUOyJ6YL0SqObYL^zp`h{0;fSZze=EpSnXW5@_Uifk%8NH zA~dZNHiSVufy<6*x`ZG+PUau~ z2V%cRAAJBhOOzZJD0a`&g3X`<3#+TS%B*FQVBQX)9eCmTB&U@-B+~EUzVn|{q9EvL z(W5GBP9#%uRJpev2wVNxsqGkka$N7ul?JPcjthIyAwQbGYTwq3aZ6mk8S>H4bWYUo zArKIC3%u%*;K)Oe>anu82o%(W-XhvNoFRf~1u=tNM%cStY^Cm% zH+6s8)UXI6Vu0%eg&E*O_Rvi;`0x>^O+DJmka<{NU;p~`D|peiWyjJP;n9`BX?{zT zQ(X=NBlj387`%AVsatP39rN46&*!rkIlu}A#?u3d_1DkE*#HSK-XQz01w{J1hH{8N2U#uTpC zN!+D*e#Jto$s^n_{rVq$Lsk2zGUUK2=3AgX+C3>9PqI3Rg|4TwGY>g#1lov(oe}g3 zu^x+4JHalk3Re<=NVv zDP;_TCFryR6D(+;Ap8v39ee0`k&GGkdcM3zP>a**+uDLB)-hmnbXkoh_6P3tVbbtp zKPKG&oL^-sl`C!o+@oVM84K1wvI#7G@I_tQt?fpqf?Ek-sbo}zOwx0pbBWXuPyc4g z4VFDgiMBqbrO7c?`z5UKCva=NhTyD-zX;rib17l8ERCLKyi;W}ldNc@8s@9Ait3P>os%e`4Y1B8F1VrfmU>PiH zkbD@mqXRP*D5<`h7hKFVB%Ciuipb_`H)3TUcCZVqWl2}i`Uhc}lU&Pc^cJ+k^h!mR zhr-F|`Y>>@u7Wql+LOkw)Kj)v+uczPPrRfTH4dH>)vKN0e^#3OUM`N@8Qb>(v^J}@ zXEdcpm||6E+j0&@$+ogqv}5GHVbg;ore^WwDX%^7Oq zp*!gVr-+~}l0%Bx_lKCrX6cZ)X(%n5zOnz6MYWa>NYR{p()bHL3c`iN+qGt@n-v9mt-3Sj9sgAxKY#@5esfV-q-w^a=rEZ3MLLBrW-Eyk0+O2K~DOu7GVY9=aPL zMvs+NY7tKGQ(op(%7Ow1;uXKHFs&wkCLd=jDMM8fuXgiJ!;a4hS%gvuiu|_5kZDf^ z{UKG6Y*pxdjK*(JB_yES&Naq{gHSbL=mF#MPKOvBHa84~X>btLxQpOvm29B-+WTP7 zZ`hfPugmC^hCZHGJo<$~gx&FR5{*eQ5o|1Mb-_;V&c9o$5)VBXY`y(BM(Z~=HgfOw ztU`l?HISaz;&=z7D=VO|DJys_PIgBXY=K$LM2^_a@}d7b<6WQ045DJq$BNVYo=7HQ zLPB{-DI9S*Zw5N!nc>aQ2~>kju)G>Bg9`0 zJo34M@NI0ZFsgr4Qp(Aes!>zE*tyW4GHKlTB&j0B19wOKV#h#tVZ)NUqV!B5#<5qVoOP>|e{ z@(%@?@??&;9@;jIRThkX4<{50-!qFhaxB;)4dr;(zHC&R#{BiYXc%AD-0s~kvhFR< z_O^o@RBBrD%D6M8ifDbnnm@V(%!yNh!#fk6ypQKA@k3_Tu>iEnVSrx!<_?G?u5&xR zxm&&cBM1zS7M;3NJkUDeDMJl*`m&XgZOy0Pw)&$ctwzxI(ezDh4NFIP4FW_}UFtF& zs&8Ug`&5xFD0O(BDZRrN80_i9vxq3({Zz~#lMq&tx$j9e5L!lOHVBlX){Hx)|59Tm z_%0-a(uZ)(c&jx#bEPDa>GS&OC^d^Sg%~N>C%J_m|Iqujjlb=P!34GI-Da6Yt}6Jn zu#mc#Oi;Hiw24cu4|9JB^KQfHW#oA*yu|r}u=aFR&*4rqOYrZ_2nPm<^JV6A^;bCA&s78-02C6t?=WU5M;ptXf>YJ^e(y;K zvf(g|b@yc;vF~M}YEi{%rI=zS*ZKQ04Zp)b2qO zvhS(y^!Or1NchyuG<|I^B+M{Jr_fe1(lwXqK`5#KAXl+N8%^wa#$=y#cM&}{oa##4 z+@?QWtZBnDBo@-R^Am9Hi;#Ng;aHK_B63nj*%N;`OHh4CZN`U@=>KFonr!8%vrz^w zcOIV@hUJ;j(9#wpawkL?$?mWPxu5BS_-1rz}@9@u=Zraw&q|kMwaxo56@PWztOT`NAMk> zbqn2A)f#p34({#kk!vbS2Wh|3;Elv`_()g;I%$v^9~|L(cQ!|qC{JO)n@@x}PK8Bk z89`P+2~xu*{&pH2Zf%v#Z2todw1M4IU4kj@)-b&3k!1zW-EbLZhHq6nTZnbr$SKIazP@nj)7kip2Fj{&N|rw@?b2e!qX8DmR0h_tM+=P@qf8ck!gO+d>6?Z;l-)HXR{W5Zq@5%@jOeTI1^2Kx6lpVzH1NF}Fv$HGk!p*%i zrLXcm3ypaz3VVJ7NjBhwWxG*MRG48_xlOd!(of3 z-tgMy>^b$RSt5%M5t1Uk!Ji{*8xgCU8$+r?TfdsajHXhzwd5fkJ8+y$6ztM1Y>BFf z*Ov?unHK(w^<0D<$8szdFvDP(!Tmf5Qr9Axz|yAEehUD|ngsIb5{K|`pq7bqRkZJH zqe>2c{(F!^#Pt1ojTNaV{*4nl8320t??Smd)MTxQ)#vlY1(n>HXwr9*Q=3ghsTSlX zZ&s}NRaI3R1<-?x>y{liv@aQ$ATC>bk3yRrtK9i>CxEu1*?}ft&B9{~!Xg!z&2*{H zQ9^1M6OqLAUC*P!SC`?`eI={g4H`l&+PXCStQltfSWbvTy+Kot^A96!jt6muEnm&3 zB+HMNL&Ysp^8=O*6qf=jGvIwSx5+30eaM(}fD|ceD+a3jsotjzQqnHo-L?Ldod9ss z%0eV3W#J}aatHr3c1d6R^=_8mtq!=v_u#;n?E~; zMQ!($E$j|a*R`AiF-Mtc}O1wdg1ED*4f1u_Ekkut4X{=sHS-{9My%geIC!eOQJ^?E_? z%V%v@+S&MhtF2!qm*^IL`re6%llDfuf=Vr~Fe~;*sFPUzoSk#6%U4Q4?M7KB+YKoO z{F2Vs$jx{^zowL~alMY%n`Jh~vXwbvMKeo!me&x;-q!B^k_jT-I6)mh1QDb%1D;y` z4>zj;H~THYy=yVEh0Zi=aaBWoj4=xR1~*?+0?`Pm3L#4bqyU(El_P3O8$^)ZEq=4d zM~-#ck>gi8FnbVE(j``(?~M1y;6hs@R8=C-2T?Mk>N3e&Fv1W?6led+^u)qwZM0Ob zRRAP_wB%n)OJVRyem3{r14V_Bve9O2Z5rrYXaSNIh=x;yU2_%bwh$UAK-*D4l#!&+ zML_Q`Y)4KsN((=lKN5*zWJ6lHIw4u44>%M<3VdpSdE{BbX+t3D5xTX2V5=R(5I=5;l?I6QjCCO;7L#WDI zEr{*0f*SVEY)bEscz0pFHf^5uHA&SsJSHfEsxe3qWDGpO4+oBKqJG!>Dl=2o8g(M4 zXCMA1l-P8yV(9;}1+%>;XD3%#HodO*ZHKv(3;`$|0Q!|)gJiSs1o`*G%&%z=ev~Wx zR6f*ap&;*%NRNvLQ>HG8LGngkbMle0`>i>%bYI($CLPYy>3Kb>p(%6T&^=j7bQ#pC z3T4&kjp)bb_Q%ds!||{r6+#(`P4;gf1YKE4Jgav-3-GO*%34ClZjY(ek#MhZ4j?R{r`+%#Mw+F=9NIa z2(_NmTgbc}FnZv?G~DY-V~%||x^ir4Nzc>yk`SyYy?l|VeZRHgR-;T?74MzR^T3=8 z@3(O&4{%Gh08;`m54)pqHqbs6#+j00W8@Ki4U|rC8>O#u&u{J;KDx17}=vCO`s!MyDJJa)&jp z)U+gp_EE)<=M{q<^67BY&NrW$m+K-3t-4p`kr;QZ2+KQ-fNQ+id&HVt zvXjum$K~Ih62ihqD-vGE{i_ExrjXJC63#cz=U<+=R}WN(T!+3NrU+i3Bt>x#uUP}r z(@A7x{Sr6)HX0E*=_VM1_9hiQSIAKhom=X&wOEs%;&jIw*=`Z>>(onIg@>4z4`6@> z$ilJ3rUppqTKh+TSr9};Gw(&w!%fmLQ;XRo+13`SI5{~IH8EL1kHTii@@s}46gNo> zU406OKJ#JcGl3`|hq0=j`i*45Qs7M8;8bg+5mBNfS@q0INW+20b`;AH-v0*2&{3((Xt1y4XfTF# z@{k*w&H;{iUa|gb;l{R8s`8yTt;zc}qs$8awJf$Mu&)M7n)oYuxh>r7pbMw$j-$cM z;5ZturwA^4R}YYFbu+o&Y=f(F_gYRpt=y@kdL$we%B;jc_T)qNz&tr!IY-QAuyGAc zm7D+UpLy$c;Vu32s-4UWN0XGQLjrR``m3%6i{pGc^HdAKwk3n2-u-jdSyL2T5944b z{*g@>V6H}J$d@~zZVzV}&{0>ffjR|8sDZqo!d;+cv27wWK3g#(3GVFy)#b;>imstq zVonab8MY`Yyv!13gpbl5u$xE3H?fX3$30B>pbF5RR$DbD(PAs)01l$F^W^T?JW27t zdcO;53!GP7>cffC%Mj%}$C!}%JF<4Ybe(y1nAGd{bCBZ64;V5&p!sr6W&NJq(HDCj zbB#KxM@p)zPwBM@k+FHvRHr>3cW_#{k1_W3SQ)q7i=#2iDk1nZMVle7I#H^MoJBnSF?u*j+X5AnAW=99O3(A2r-`#LB&c#C>holdin0P9$(98O zT&emju>r;E(;V0|km=PZILGnkI8*$lS_IYv0dW!gzT$N8L#uul%U~GM{czJQ;dh-3 z1|~Sp>%&b!A!iIv5PfEoO+HxB-H2I7iBE5{v+xAtuRwataF_G9UIC7aI3XO<0g4?Y zW<^-8$@0z_7^OxSjQ>3W3g1I9+e2&r*7>%EU?=clErorB@I%dFfN7aC|uQxpTZN#Xc6JYG09Ckm@7P!5k z;etvHA~f+fkgbnjh4VaRn+smxO#4hJ=*0H=H}Tq_w4MTqETAoDpkmE^9)k$sCjaS? z1{L8vyLt=VhKD>)Bq=0O1@pdc|G=SVmj1yCG!{O%Sn7opS6@8TNCvbp_el^c0GGI3Cty4V64so%Ya-D*YhwgxN$nh3 z7E|Dha!II$NOBv#rw6XuJMFt3bGd@$$E*G~PbCWf3h!j2ggm{1l`+=a6bsPInE~B` zz7IZ0mul%or+jjra^_gK%7rX0k|)~Egwn8!RZaA_w0Ri>YMO*o0o9y>qwu!gy*WD> zr6c6F(92`-aJl3RHp>ePy@4Tu(JS~%7_@;o@<$iFRfoSUz1T#CdjP>QKJxc{&%Y-F zK!PFReFq)@eOkTX90Dx@T+;a&PZRELmkuZJjBG{%h46jNk%oIyV>$OEtBBLtdbI2) zM;ph#%aDUPXz#;ebd`#y&2o<50i~}EbvMpfVDtud_U@{Nj#lgML+X$0yPkk46P zF6=rlpo>om?jzZSK6Vhvih`&uU@^{5x#A;9zAo44@b=M3}A<23ebceV%b6;BmCv!uz)z2>uUaD7H`y}I}TVVm5Yt5ts}bxqcC zm#`Md?A@tsd;lx5eyJgx0v6Ua{n!*zWTQlfSU$Vc)=&=w6m~EC*8^Ms3K{slvVsP6 z(z(k2_xwLUcoiWYi3wMY?c4>|l+IZDy@9rDrtRU_z-RycYNlKI#Ae#V?s1CGWq-{?GBE#2G4Z;s1U5?**gSuS3dsA^&~)-&Jf87mPs4 h{`VsO?}KbTpv+Lajv1~fFM$M)3l9JQkfbCq=q(7%uXSa8tGg>U;j01N<-5*1Q)&pheS zswa?eBWSNb8vg>$2nc}8P*IpUYP1Vt%-{)cUx=$NCpsxulozmS0*N3)%;D}`t{W2YaXmm z`1E}K@;p}6yPv;cbyHV<(Q=UUJm>o$d=<;mIsNE+*GB|;F<^h{A$sh2yNu}RK!S<= zWoKsxEB(dbdC%bO^I)L98zw*2#Qs%^Ua&?wGBPsgJv^qTrE13sJO-_5sbZdRFgzx$ z>cLn+FW`SIT*E7U2E2ao-xZ$0rObf0E8iD7gjKQq-oN^`pie@JDEQxAuM5>cOz7PI z*&MW>5e5&T`2N+`O{eKZgTbi(XLHc)G4ucbzCAQk8+b6hccLZpfq_x^LfNgi-V#$C zPjIK%JUdd(*!sIH3@|W}{vRp6zxOVp8N912f0tmVk}CU~F0PY{8*LF#{#zBK#RX|Z zpEww}p3!KVQEa)kI9^ufuo=u)5H~zdnHWxC+s#On@Snc5N;hMLgFE>~@BRO;8ky1} zUX_L=-~DuFV9O01D5R!#eDhGWP%*8MVHCw8K8bGy@t;vliHLy|I-MfKZAT|rHLWs| z_Kc0!jxG)k7s6M*GqtDtSNG0E zz8epGp4SI0vqS_0H=RV$;%9PejrA)PwrfD)Id+!8$jC^bu$mePW-O_8=M1<|@i(V%9vSP3^Cpa=>e) zalgAry)x*rXs?CC++I4U_}9yEqKjuX7A1M<`7JA z*%61IcmC|D7Edn)0IvP-QpQZ@*xfnmPugn-0-597o4@Szbcjgc!H%+EAKGZ(*V*?irmfAkWpPosQ>`i;*8TJS*A{C?*d z@-#i-J)Fe7O7%hcaCf)x_Gu!6lVOW+n3ZHeb^^mFL5H#Z9pzZzNF(^O+1p% z5du(yn}2CN?$gjG9tk+3ss0#_v3m_@vuQ)<;F`UU8~Xk7m^4M?=hgoG7&oxWj-(mV z?~F8KBILy1)QWUmaJ==^Ic6{+XF1z6C-iP*P9k`J&~;Qn*?Q^cJih2z*Szb`=T(2z zkOSDqt#)gFt+7^sf~Rc5C(i3RUG&$q({62*$2^0u%~3cDjkYmA<$%6wYRq8D3IJKW zUdQ%(+(XFeixj=cSKoU0{i<4TiZJ!DeiooJIPj}$GdR*RN?ye_=6WJen(PJD31{(w)$1}EN6F1~`+cro`4JxXn+}bY$ThbCjlhj5UYAGk zMVEE5S~$@_?!oDIMo7Q_eZD9WoF_rQ)T2X#wk-$V4ZPyNoaz`&JrQG?{W*3d3}Q94 zQ`Tj=w{ZO)qEci9XPI4~k^NloS!IZAgjsY0;Xji&qCJAC$^dijjr1C3G%}3)O(n8j z_3WG0dJF|If{*gllPXCq$Y^B?PFHL~6o?O8xok9ke2^AAgx1~$@32tLK^NTwLmR+f z-lMx*k^YQG9aWL<7W~XOYObc1`r-f~$jUnYjq5`Nt}0h7bGeFSbWDZyP_?yr%9Nj3 z5ia5n)P`BFNQnYeo&FGFXL_rz`DI;Gs}t|eK=Ycf4B%F6I7Fd${$M``h)(T7(hC9C z<3+74T_YdC;kbvesS@Edlk{~6jGAR+za&M2J*(tw>Sw^1LUb;>VXlg$TBgb~$s;2@ zD=r9SOo%_3%0UxQermx~R8#Xi86}UKQaw0d55D3wz)({Yvom4FzG&oS1Um8i{cHa{ zZpjgs`<_Ctw_kIqK5L~qU6{7x5yYY(SF0v{NFT|$uy7Q{Do_OvsNC$r76>l17vKHC zJtw8gQoVeE7`5o%g`ncrr_0a5$uOGqA6x*$gZUbL?tJ2gAHD_z;P1yJUIK!N+)*KS zCvbW_W*Zr*em{Zp;?IS<@sne}#FdzO(!wO&_m8XI#P^ya6((Ml55ug}Ur8L!53rPf zU5x)yM2gG+eoUB1*Hwg9UHhXzlx3F3P)mr-?<+R?ciGEVTlUO*l_OKmyh6N_B0swv z8$L1|7yV}hc-A~5#d`c3{M_kyQe|OA@?1VwW^6@9nH13vWyK@IU>{Xo#I8|BCz=^l zkP$=s^hhvr2731pY&vXApCYr`(juIk3Ww-kV+HtSDUQinSG6G$9Zat!^7)=E=Pjqb z3%XNPxv(ffSTH&;5aO}lI+plDa6c*vuoWVJ7{~Nm!A#hpT9CbzXxTSt%pHW$Qjzu!6FQ78BXK~YVZ+w=t)m^^^$eOqsXjdE&nKH4SyMsSY^UYo)W$I%kg`$dRS5xlb*agd-SznRyQ7>-Ov@7AK`7 zBGjN`z4}JK-CP%e@>cwGD87c?6xpEjAXoq?dp``We)ST@L>cxh+V84k+(!|~{A*Bt zBqmQXDm!KvNfYO45>q$kBP=IRh5Lb-RKoLD&>tgyg2G8o&4rn6KtVLr!?`p5`hE@e zT6gKjgw@}kbDJ0JX-+#!z;V9fxb~^NFe;Pud7XwY)?+<4a20`E|BiihjjpGj*0l9x`!aT8tZ|Vu1XwU&8Yzh*tMN5tnwpv#+Hp({yEK#TKU6;p`Nx(7y6zu$ z4ue$xJsj!Or9zgCE*b1M(|{V+1Vv-BUJe~?sA>C6jXn7F?K=8vp!&3D2S}0yGm;|d z2}B(AAm^IaZ_RJu+`JsS)onc4WvzWnBm=Lde+PR$1&W{uVJnq{A;tt+G?-MXDE?5i zu)|S9mB~B_w?>330a}t-Jq`dzkX$JSLJG7kH@r_3E(9rqDJI4?Zy~m*Bw{Hh9YB3Y`MAI)H-oa)~`t;(K=4QYT+qJ*j+eRE2sF%VQ<1*{m z-$R`HkUE67_K#-woZv*ulc!+V-3Cq{N-jHu!s@XCd=*b3Mgpmk*pbX>s7NCGkb}f7 zR*)cxfX9j6Xex+At}}2WQ<@&J(v01MVWq|)4;&W??v5Bun{OG}==)m)?rDV4u$cKl z9I^L_G&2Z;Toob~$XMDvi$?m{Pq=lLHm;Y7{S&wnxoj$$Fu>3#PP7h37Q)C-5k9t( zPKQF<^P63`-X}qMlEg`$tAhl$T8+xJBJ5l7gX?P-U*83@<)a6zSx?!_Y5n&7l^ou4|2)pbHk}eCMU_B)|T=0Ojq+$$D`-{!I)6Nv2E&2pV^dDN&mN{rHRr(ZFE>|=fX)=x;;j?!w&17 zBoU)ZQu`Gq=2H}qp&#R#73F)&Y?~(=J@E3gu-KWlSSM9Td) z`I7deV~Us70Bm%NUUKIGpg3!Suy|p+R;5noeyzPt4l+X&6ch%raZwad@L51*!KMzG zZRHC&#m1t@V*57kZg}7%1#u%XpCe#bI zw^bWTNgVY-XS*(6b59Gt5HGP0aLu+0rdzQ_{lRXOIk7Eu!Yr`IkR6w#Tj{Mre|T3L zCF(&2&Waxp+z;0u>tPRpGmy&8 zooY5M^u18P3^!G#6>DxV;ezlA{>JgQJ`eYTIBdK##&msIR7^D{aR?m`{jj2<;OtJVkg;Fob_;N5s6nK43<;pvq@UgKk$eBPZLv| zweNx`dMhx}{K~+H4XMWuf-sb|Z>^ZYStC%?X1|N`B0IHk2KlMo`Y>KX=UJ;4V&-lL zB2c78rp0lE!RCw)GEV zE6wEW&|{?u)Iwbm#-7?*eF|i(Hw_s<@eX7g;N|U@Px}^lM zX$y96XDEyq6Bo|?BSX}50pYvE<6KsMTC6>*r22qBCTyxyY^@K7n=AXWZ}#fx_Lj)R z9pWKfy4f;OEjy4Za?LPntvlpMA4u%N^m;r%7ba(ID*S*5ABoV;0$X*tvXeF1DJ$d1 zkfXbW?mqi9@{^#9t)~LHfsXHJf<&RhZsP9n*y5=gESGwVqyCROA`4sXrBjQ|np>@A z98AGZGoE$305>p4oa&ff7*lL@o&2ETAE3F_qtQXlhFE!q^1(iQ{ zHQi8SKS&nd$HUymd!Q)dqw@*gK+HO1OrVkr@}lipekfKX)VeZNq7=m!n%w|r2Kj+q zAz2FyYBn6lu1Si4Cl;wQoNih-vbFvyrnWk_^pL4tk@fjm{9(kvwKVyX%%;)}vwEfA z3)04AiG;xt0c40FCWEhaqm0}kfatA0-ByeCMiw)Xr4}lM0p`-OB%joXOIx<4 z3JMAm6BDUt7765$cy}MFC?odQLm7)GRk)8;R>Jr5nIht+zg{+OE{&L=CEWI&t~D7) zVPRpJapX+(zzkx8VlWFQJyX}BW;XoPiC;VJ%3fSwwCHnK*7)2^e162MC#QE*C z<#{tfC0Zg&sD=r{E4DG6A_W3eu4k!(05inFN!>W2S0;$ifnYXgV9l1@HM)!-BOEt* zWG92B8J_zG<~I&o!afQQmMQJ5#HidGfBSHA400xxVD72Pi@?<2)U*Z4iJE!uu&=j1@R7`1a`An7WBOdWD|bCjM1#VQq)AcN;I5#8UMR&EEOb1)tRP+FRWA$Vv!k-(^i05UyMDDt1G5P947I!mW))2g zuYq#kpl3eJfz1U@vF=-7YYlpLZna0?u1@bz|6Kb9LcWB4Vo(x*x_rTkCreogm~azw z<)>Oq8X;1n4eZGe3>n7IY5aM2R>AEs^8EaKcxV~3L*O<(L#`D$MS1>`Fp%HUeRpLp z86~NM+JD}JF#la5l2o&ETt=V!Yt)<8ObH#r+-LT(Nq1YpU$`?GB zDK?&ly(;QC!HwQu9Q@lV&w4?m;43aht@Cgg?ca(0)Qvtq6BOvn5yV>mo8%u#PmZzo#vRy1&bE8 z2AagL{_M4W;q-&)pYB#8pHS_qbX#WGC+_dL2g(;4ro>TeMgf0J?NpL9meJ(FV=^bq z*aroJhRjP|o`1b~o&WpwujAKF{WgR4YAO!C2o0eb9Y$f<&&E1xTGP-;NdAJcy*kVE z`ucj%gSu&R=$#%nmO!LN5?k{n%AZIG(CcdmLQ%K*|SNh%a!PW$wudHo8)MAvKJaGP1e^ZxMgfVQQv5Z#ZmE|^DO5C)tZG9eUH zL{qjP)>iqkJ!7rchLGHKnQ!nx8X3~^uB6W-fiM~)2Om(YrXLd_HLcw_T z>L`IQnqe98#-G^+SVH%VPoj=6_<&EEF*lw_@+j&Qe#1ZHN$OMD3}T0jqxh@iXZ@|) zHd=*@o>gfoN?a$(g>ScYBKovi>#Wk*_A^*9DJ!6?^U12D(;KQACn^goBw7$um}+ig%^qQt;3zN2QuAV_suhB#sh ztbOwUN3^rbBDL`+A}_2x*d4IX3YJxPbYMh&+A0THIK3;tXIlVMinc#gkSD^IHcT>j z`Om?@@N8BCxhSVmcEoJHX8x_RWHE6&#Iimg?JS|gY4ivhWs}fUnt!S+KYfpj<_+=W zlvB$tQs>wn+GysUQ+S&tTpf;j!Uh3*8)r*a1ch>CQs1^Z_!ye6HM_!b#J+0+a9tEW)0Mz_ddPGdF& zZU`a8tEi)Mtb@eTUlslaj^LWy=pL_Qcryk=*D-MNIa)<}`WDfD8-fg4SXBSr}W17qgq z<720{L*#Qnn7yhuwOGyMpB*u!I=Tk`{YGH76PBk%yVCGF_)oNyq{0mUM3b=cT^xFD zF|`X*X9J_)KEw)KzHeM#t_|^AIdWODq0p}QUAew3Ug8JgeG&ok-|CF)=dw;M_q!yq zc}N=Ku)o!Ww!H%CgM%@-An(=_VW#a=eYzini>>VEZZ)_e%>(;k_8|X8wwgg@}JUmwLaT)WW7__F2S`=A0Vu>8)# z2SQK8D6DA`ZgzeZ@{>+e6LMBVY<}$g?gt_v9}8GW4#N)p0@34bGqR4{ZJYms{&Q4Ym6c)K6u^Zj z$OvrJ2G4@_L3{6NOue@GuF=BG+gkVi;mGFzZYNC#xU(vr#UJE|u$WA@p9!6)hE@-C06f=eX&Lu63cxDR z6v)6SoEI8?`fegcJ5@GlqLP=DnDX3SSm#U8F8V09v1_G;|7BvRRTIY@RoT~1^}_4= zz*f1&H|El`qm>NYsNsj>a{8R?4EGQZy!}q}+9MW0RjTy&{4d5~a^KQ@^w<+aULeRvGi zIJ7D|rDt~IF*ZSv?`FDk4o-p_*;Tl=EUqi@DwRUUdqcOu!8)fWmlNvACddI2 z7{LB2C9rtWjIRJ{M0FfyEm*;vRPy3!Y%X}xe^GilkfRpiVz8I^)NmyDgoOIKy3{c) zHRnzdX%0_l507yN-??=`YY>}~Fr~K?J=8DjVupzM7to?txG9uw6r-Yq?y6E-M`GxR$NYEL%Ul0@x^2$ieCglU^Y93~r zXa5L3mn8tQ@aaWA_vY+E4!bvp97yM>Val~|!ED+C`zg{3zUh2&v@;ywRug{*BF5jk z3A9_=8>x0n`MFr#P^AH%yD-}{HSlF{_y}+^iu0TVS#n4jj(cfB^?oSgqWUu^iH>%DspU(lQsTg=7zQc{=S&8N69cP_5xznb1d0bKEfE~y0zdRVcMCOP(rH}o1**Lr>i7j- zlXZ%;AM25=CEOP3N_jim&_v7Ed2&xUG89_q-aSPYt=)2bc4^HgV)1)QX#mg(aBYts zeAb`~4~8mjsv*D?Rdmh(k>nvGHELslJk=|?+x#J?TD`o{mWh!u%ux-#+)3+6fJw<4 zKo91f|CQ>nB)Ns6NQlnSb+xKooQ@d!G@I$GcSa3 ze}y+@(UckgL1UxayT~DjI*pPASwRPUJzbx!f&ly!hu0sO+vfYx+yxq)Mg59kUdd{B z``iWQymv)qarj6Pm0O_yrN5hZhfMMN$qoAT5X+Pi5cH4SulQhT`$*ASz(V$ z5z#=B^^$ra43yPWlfgwXVXHntyB;m7Ian|`2lY)z9V#j+p(=f+q=IoKgVvQXc}+Cv z`s@_*d}1$+0DV#k)PW~X%46S4M62l>odgT_362&pAigz$Q+Qp`VPRmEE~x~5*U^vN z3+{}x4WTGfvZZ{z=l<=lBbjjVfr=EU^4tz~x-PA(MEuOY78|++cP*?aN4GX+i6fAx z?%ev66_O|VsS}xMBRih-5hyIbcss3^WZyfLQ?KpsYl`?jg;D4qXmCNKQiA426(HQ+ z9i!Fh3y&fi(R5|vfRZF!wop9en5hw!BRQl}Kap5S^w(6`a{#nR!fl{yd^Ch}y5L&I zzp~c#3Y0mztq}j|h8xa$gO`UT{21OZXUrX>H}&;w>-{!*D_x}Ar^}Rj+vS@I9|0#L zAOugl(gHRprHoja0%FW6ajz9m+AZCbn(e%b+D7vrmq{6TxoeT|&F1p(}K!_)jjSrfQ-QuPF56Ohj5UK^uv) zOu{Ok%y^(P_B)9rCv;R^`(TVR*g}XN2}79+R_s8e9-p+3c(R!m5t>xUuI&iehC25V z4T1iH_8%ii)Q2lybiZZxiII`;#>pPX$|)@B$#(o}fg8HyhuhgbHMNscrX1;SxwJN; zH&o`tg-miab)8e;Vw$+e8&lam4M7~C%T3ta*8Wt934~*maSC@PUMofz zo`*=?6>biyqJW;e4amrhA5Q$lL~CRROA`CyobpTkp45{6WDa+!L?JocbkYaGjLE(k5 zV6u(?F85OaOIo@Jvp#$r5)O*;BmmIMm?9(mA@rv+;9-SFF^7Q9djp>_tEZ~5N5(WcOV?Oi|NZF zkvU(7dqKaLKZBE``Ulv-^Ak`5ZAs>&H=tBM>}PXCl!q{VvItV)kh5%^xeTjD`xi$I zC%@%LLyRd)T!~Q)i)`P&=Dr_{MXP--N2tdCPQ5%%>AmzdVb-8%)O?@+74FY~FluKe z@NZ>m{N!k%eCN*{2zohTNl$NnSy(j4QF{bcpiOJGiNlVt`1I(2(OS37R0GHUK-ght z!tOlZWKCdx81!k85ICRr@tp z>4W|`lw_=4e3d;2+X(#X{Jo>HnOfN11q-<{f-f5Hm9TlqtF9AZQ_Wg*2dk7o)tX-Q zk{>dpLsAcfE_i{4lc}=aYin*sAu3)rU<9c;NR$Ll0)!~du@}t11_xO1#z$U|C{Uo} zF2#di)8WquI5(q2=*^r{eEK`Dujc3FA+0LDl3HT+>_M$B{q5v4_1)Brz?Eei$-eQn zLK4en|7IAvft4}A;(S?174wE3ce^$Im7t(@1O-=l=gv1FUzqPAMiOa(MxIZjV5W(5 z^mpOM&VSnjmssw9hA`44H!((ZQn>Y*=N*F}uai;PI|nx#Su6M@nbpUyNUY}Q#s4*& z&0doUmONJ_(I-!g#ER8^irlK>Ll=0d&$7Kf(qUUS<;_S_^(#?-#=t0H{fwNX5J__v zBq>?MHUFYFcauu?MNyB}k&nCG`hG7&7uZV`XM@x8ul<+vvo5j%B_w}t-ljNZ86w5t zyvUG;6WCilwl~ZAb&B%=-C8U;=DACg-YDw$#v1Ve1OT#Y= zI=Y81pQbYZgv^Ny{C%i6G)@_sPQuu*F7Vu{juhGz{i&@eTWtNPVhq#r4|4rw(rOro ztTxp7x_V+p|KnCfT5P1CbOtHXdJs1bt63^jgTUcs9@#q*%#Zh0GzjsHUG=pc4KBeX z07U(=P*6Gi#?0!$GyuOzD9cH<^OmEzka>NCfx}!&$2TrKVo(@E87mH4C(&%!dv?{> zWJe(vA8pc2KZxG{lkxn1yJX(OlTzS|e*HHX=nl}R5*{Bb7y8?++>aOf9GDte!-hH6 zro3GHDAf`c2Ni?J>t0XHLrowmb{})=fJ2M7sn`Jb+fA`EVKZB3eA%Uzt23DLlgpQx z@sV~K%~+gzjDL5f%loPX6m}?`MT5{|(?NZCX+$u=(1vOe)q4(KPn>9C$c%ojp6$W? zuX?Y;L0I=|=CR*TTqNcx)$LbQY%{q@u}MZTV1=a2+nE zP;0Vo-Lbnsr$0}?ed$<`@j_DO1kZ8qNht2fuBN(d+rD z$**6rnNQFsF+7oWAjr3xdny*94-;m+VFABft=xZXQyi29F&j2| z$YzU;r%o+}L}KhM}5edRyC=v|K#Z<(ch}Lh6&>x93v)~;tKh>QKBF|&5>gJ z6E=hU;pT6yxWor%QQfA4W>H612QOivccpT_!4I&noN%xl^Li~wXu!+wUypcfc(Fr? zBZXDRAOaE%zh5)_IaOkKfPjqoiwh4FyGf8@?_!ykFE9;E`#A_hBYTS%F8P9i3n_t4 z+gPqFFCNavDZy+=o~vC`S0AnucFn#8Xz&zmxe*hqt?BMq~^n>~R~PfvK9cGQ!N;|0V)00Ss2 zUvWC<$%riRAru&gpUo$vp?R2LbST|0n2Bt@oYxWUm61Z_cEnluZS^i$nC){K$0wSR znFX78ds6ef94|RV)*mykAbz!Vy3)rLSzo$1wI<2NCe6>#=u}Ourk%v;eafAyD5K4) zHIaDbx0Ft+e7^(bVphqX&{yhkU=KiuJA4>!4l}yP4HiJa>Lt@0id-GhVL=1djq3*M z9UsCW{M8cYlDT%IxVB$K=ZJhd<%_(0O5gfe7d%Pa$JWC2b>6>DPMVL8kL{c~whe3# z8bbE6>0n0N?IV(3r7{(vjw1{R(#K(hXG$^zVqjqP;;$I_d!DLI^s3MFo~ClvbE&OA z>wT^G`_SeY!jybC>&f%%zeF78vFPKFWix^wLx{n0Pdo2=`oWN&G_PD~1Pi$ZYDimP zsh#1ikdy{-u@7WOyRC-{!DM4&V;Oz|qr!Md5Qt)Ut;6jNT@9teBy9!N)Ih{@IV@MT zpTOTjQ8*TBxd}JR=GJF%78!Qg0l9iYQj-2yAL%_0<^XXR&%Z_64`{FG!(fsjBNHTG zBBbnr!dzTj%=HUa0|2Hw%)jg0-Lq}T7jr8sI5MA65}A`C2S~})`z--sC$6bs63!&G z$F1#NdIG%6(R>8Djr;_W6n$)NK6JOFZAscybL7;h2ccDR2#y?Udz%gN(CE!4%2r0V z%H=&DT6ivS-0bMXin!|Yi6c;vy7!4t zwq+GWi=kxgBgue-<`edgTN^>_5D-s8?PJD-J3@6@Forrl&EbHx6OxrA2psvq{-;Uy zVVNCC_M4n$Fun^KG*o!K9e9mq^b~&O^p82pP%`6pL}n>_zvB6UGa9I3xk+47Z4%iu5CXj z&De;c^?76z^JBVb(Tlz?jf5*@$)fJs_^5K6_=!nML#TG=$#w{93V`q;CK@MjqYxp! zc>?#Bj9-s~{o&u-Wp*wE^JD7>KY9LGvDpj`X9s0A63F3aCC0L79q{E2D-Tnty}G6* z4Jl$78D-zX`vE4O&t?L5Jt*}4GD%+N8=sEzoy#ni*=kU$XP*?YKknVGQ(v?sr1Cx9 zBvfq-1O;{C6}xPP@n!+misqGde?JC65F{+%%hsq__{=Mtll*0*Ul_q1u`~~g2Ubvd=SNv=Z$?p? z@=7Jd5<@P#?4j_BM-hviN8Id46XG*i`Us9}r9O?f`4=$3$9Z&+oVtxf;7dm`Mqij$ ze1Q4c${9p@aK3+Fb4wXpbTwqUiSY7rCX5y@O$BF~NXv^8ggI?fr-`~8R^4OHvMdJqv74y`R}JJ zWyW(gV&E86weO@@&9mH`qU8sbJ3W~}CrOc5lU(Oh_I!tlobixJU#x95w|j@DvZfq8 z`+DTjD~&^3;Pr+(pIgkociY!0waE(Bhuyjutn6sA`^g$_%ZAh+)GW?PS-WS#YME}< zpq-`#`f0czpaMig=#!*rUXM!rL6q<7zwBu>yB(hA;rrqf^=Ee%vWcjMK9r_%3{KF;*TI1qH#*Ll zFcg(+PnRhSVQA-%JKx3tAlL5hZ;8Ou_cZU@wqJUTDbpy-vvlZJ#T=JjE-G%zoD!{t zGBsZIRBY%CG9;y@bn}EEBlB^x5-NS07DC+B`L1C`rN*q>H|SJ1OC#uQ(2^ee&DHcP zxV6`ObjMD*l#kFk$(*IFwSl@zGtOjg(H_EPA0=j2X_4M={C{VkM`(4q}JCjfPuw=1L@*M zg}Nx%q2&VwZXN;&2?=R&BUyS?aq(rC%ob#SWFzxwVKEP2?_YV$u^R$xV5H476iQUS z+@`@*1Z8Gx;P#1SOamV^v+L=^{>j|{Y;wI8k7~K1usTFB>a9G*F3SFn^fcw4QlI2Z zvZQ2JP>#)-*a0y`=wi1vYV4A^iuc)~ce}sXk7iaoWEqFAIqF8c;c`hW!I98Vl%1Jk zRjKd7GzZYvg4yMATZ*tYz;DMZbbTHh-mB>Rx459UD`N0=9Ltst26GV|-#8b&tW5a~?xP4i#!bb2>Uw@SP8<=Pa>8GW`>a5jSXM@S5}MrW&S#fy24a=) z7<70h1JeDn?V8~~VkdV=r@-%c%YG9Ml6J?A9cph*>K0Z5qwG#XhW_E8D9MhGOkz}$ zicT{1ozd{)ydB}U+f_E{yNj-;rkBC}oX1@%Mx>J)`}O9}QpL|%=U<1E>0ipqVq#+E zZ@6!(gY%F9oYP&}f?MDGXd^%5pzl4Hh5Q3!emFokb;7uoX!+3n-C&-mJ1A>2WBO)6 z-KinkNbyYnuaTp9HlgscT~j6?UAerU)5F3y_-B<^m3mcJd&oUoiBVO)V{5>2!xmVB zlQ|SD>EAe;i&8CRab&$h#Kr)xG5mo0lDW-8$(h;l8$zOH?1t#k7er`?yKZLZ8ADr4ISaaO4^1BB0_+dBJGyd!eT1Y zK4wkr&mAU(g{t*J>`o^)6X^6_gMci}=%*)d7#BsDWINJNr|I~aiNly}>HN@zqsVSXHwU5t_MyiE#9`$>2%*vJB9y}6L$gE3pBpkgNUq-WpLdBqht_*C(gxTTvFA66k9g99Z2r|7LQCy+L2Mp4=d^UPEJx>`W8^Hlt{nIaEz#W-#Ixve$Go4Q+e z)5&q_Q_pJG-!JT1EG$D*vgYba+tGCxVvnO{HOLk1owe*MKjzqr+?>wG+QqbyjyJN# zBh<8D$%=cLCcB{xNHCa`e>d{5{Mj%W%yf#HTHGUYv2C>sH1HsEpH$kUu(md;hm35~ zMOS`vFV9zN=rr6G@^N<`=5+X}f?)X!=?BH@+U*hmjZI>qNZ^OYCgLe0X;-T$=oC9e z*OHV}7-v_%QX|@-DwzQw@st-NagiqmkcPOWitE5H1?!$ovbPa3QuWK|RjLmg)b9-- zAoGY2d^Uq!!Fese9CFpIC)0s_+z3E3Q}8+w4M1!^K3Tg~B?vR--viXTDix^HaOTZ~ zX6liwt2&Hl-V{;%!$(q@GI_|`(YdrzJ$&}h6bTzqp|B4ytpL}le469^lr&e$nxiN0 zzAMs^cG=DIbyrz6=$uky1I{Cz`XMeAG;^czb9cToUr!MzC15+~&Pnt)&Zt)9RRmL# zuLr9ZNhQ{u`yim*&sJA=_ps8dFepeFh|L+0q01~|JU7D+T%g$jNP=!WJAT@MCFeqx zmcg6O(3^u2ld~Uj_fPafl%r=&)2bjzseO%5g5%bWU%!Sl5GyUrKm-OenTKSG+9Lf* z>E+R}SRy|6Zo<2au6sQ8^>O~YO$f81Vd(I33|NYwi?cQmBZtLk#-xZ^xq*CCEQM8s z3tnZn8p7Xyj>iyRPm2UDP;Oda_rZ!W-x5Tx{oC%Of=pe{YL~D}tviBL3MxV!>u@uJ zPDYuJw-1RUz<(F0n>=97ss6;4tAP8p?+G}Ce475q;lfSFNm`LmUQe-r&K;zer|}2# zTeg*x<|ixY%hCNnF(PZ~QFhK0hOve!4QPfZt`F;AxfMHEfQwq1w{pGhtwRd?T_hV# zbiQU#XqO24-U3%z7U#g39al&m(U?%1K}UFN6P|h|iiNZYmz$W#0l`I19mG86W5buj zu>RN4@o9kW@s|gucEDISb@$>AV>=4I8LI~HR$-YOv7p1<&gRe2yW^Ibh#3LC0Su+A z7**WVBPsWiEwlr&_PJV6jtPyBC#4aNPnLQYM^0nbYdSpWqNu00taxWS3>4v&ITz3* zi5_gu!K*CB{5QUp8G*m=sg&}4XZa_3TqYQ%hH5FKSA*1hpEc84bxjS)epYmURiB^i z%x9Hu6Xq7|gdEz_Ugf3MlrAM-;-%#702eN1dgn=Szv5(Af?SQiJodAIy<1x(j9Ghs zDi%-swt%-D4YpoBK7_`6{QT8vp8U(X|k zW#Ek13Npn{MsJKMe}9SIu5L*WKw*K}M9Jr6?K$9CRP6a~uORtNcs$X&yo!GO+XqFv z)UqlsP9L?L%~Zt9i-aSg-_rt0ZY#03!k0TsKEfdkRuDCjNIeMH02w$Bw;+0rJndHwr<$(gYMetSQm0>CGH03OPP585 z2Jp-+p015%Z8sr|Snj&%O%X$%ZoqMw|6y73+BPUaLpKZ4||#q>RhLbk2|d#$ydVHB5AW-yV+_(h0BL~2@yg@T_MzwykekOt5%_XVtZis7QJX@QFl zSBi!j^2LlX5bbjvlYV8wKv%aPg9L_%|LYwyUtlf|B?&d6&vbrdB*OI|2rGfO>Nxkd z@6dm_F?eZky@3OnMs#}%F81fi#pE%_}1DN4C7wCJ{+MH|ALO+|Y z#cxL9NewRjm+aF;&NML=^4jF8W)-6jb8*tIjdg-TZPmb*fqLU&1e- z>-#=(O}CGt=&F}U@L?&>(OExnZ>NZDXn~wOg9v^#`Pf)UbdA`dJ~PcCY}HdMJ=3nJ zW^%sl(66qE=9yFJ#t_1h@q_AhEwQdW%yNpWT{h-6R#KM?F*NA{{*vUZ21uBat93XK3%b;E;OI8Jxg1SVpa+}j3y9Z@oVUGN4Fp$Z^gvz|d%@VETMQa3ZaP?|x)Nt= z;66IdC0Ru6x|3PDi)QNu-B2HJan!2CkcO+>sv#4&RY@e)!P(QvVU0s9P zWp5Kk!8dJwPMmkAdmVzF-Y3nzeR<4zaUQ(@{zhZ2wM_T@JN3Lm^fW`Hl&^qFmP_Kt zL=mG@5o8I=o+S?=t5PpS!iBMgbo3&Gx^@#r4S}fq7RUMSk>ca*r1>&{asN1gXOu)N zp;pM9T$CEDLS-aI`197ipH*PICS!{2+D4b}%f&@a)$xFlGjCy7i{b!*1?b(Y ziD;%@*O!E66nS4MNSM~_$cdohB^9dF%&{^mh<>w8t92tuWV6C&_}?BG8|s|}GbM-C zGKv&IS>7zmRt5%~j}iT#?7yZ*O$7SzRuz#PZX0$(Kj}~QTB02P2CB>(o}eglZyVW{ z!d{$y<)4yxBXq*Yzk2D_EQ-$s1h`A)C@6)0d-%qD-Sxcm@&Fom6nMFx!l9iXZ(KX= z=>f|^h7+OjRy6>ZF7Ob!aNx?E+7EliQFigrrw&O04QHzNy1YPXE9<&Oxe4B3$`=o{AC$KFh_QHK;-r!YxQ+55Q z)}?Ghgtiw=3hnxhp=zDaxj6i1Dn~>fLD&~}PJ2Bj>spz$O?T`eCkvT10#5UWkv~hV z8U`>k&^3*#3?v?xL50}i`9Da4`>R`z4w3&4Nmm&Z_1A@$?hXNI5h;PCyAhC9R=T^p zLAsHYZjg`$rA4}wZlt>#q~X2(-~GUhF#cv>_nv#sQzutaQV?o>6tWnqBQWMyS@nOi zKIY%wDor-)ZIynTof!_5$o=1jHmuQT3mza97b>QikAV(@G0ev8>S%GmISI&kFbm1wS(oA*450x zj3%mo>I>^`WvF}!Thx8W=G0$U*78R#8ge5#@)bTpEg@W6%F(B5Yw*NR0L0Z~P1&GI zMP?mFhkB;4zkaO1h{_`6^>a$erBPm($CV~LJkwzzW`Lr<`0_1;s0)Ej(K&~YwI30l ziFUBeR+r^DM;VUv9>00QOcO60v*iGK2s+|S%^!^lXTm$$p1RhoWOcFmso%(ap~0Tx z1`(Vp&Se`$20!x-^uIZUXPPMqXwdJg3FZ;WP;j_rhH)*^wox=MwKuD|vXGQ~zK5(Y z87;29!S3#nXxdw^yi3&!QT^ABR+0TXwax@Fd)70R!X76EEsL}yn@dYe2J8?BjQ^^q z2Wj&3{N{dTCAXAGBOgJ0EtIWinXr&o5kU}6>K>Ev4=*kP7g{)<2^uS;oWKdL&R;V3 zS|3V~g~HNP2uJ(sV1+`1i|d`i+Y|K1uvJA}j_)a=X{n8)svJd80jFmG9T}04k%=4X z`@*@(AQk_xjy3d=eC54O@d=>_3AU9ni3Ro6X)0Nw@Jl!aUacP7b;%<+r3L6475SAI{* zj~mJcp&}VW;br-PZ~NX)Is32ro%gRE3Qd>~O!eckJyh`vig6 znVH=rq)VTv4-O6#PO%K^V6YY9Y`Yrt1O?c4MhT>s_Ak zm~{$s3oSS}az?hXH@`bQ1iI#lKK*EHZ2$CwTxCD-U=)VL?#zxu&K9N^e|B<$TS#k$S{EK@|3;GWFnm5G}PtR5<9r|k?xQ!w=afeO!_aVD5A~9@I zotk_<(`KW0NYx{FiWq49UFXaP>ORIjZ~hwy|NR|F(QwI8_=nZt?Gocyt_cFp9hqd% zUf0gqIFPj6Y-KdqFN^T;0slTK+!t}tpwwLiV%#rhsmpc^1_&pwFoVM%;Wl?eFr%p9 zQS%!})@^uzs?NZM>(k2;@wqnmxkI<8jL$)5KkI@H~$MVG7qA(gO=gwaCA|}OQBHXcjPep425UbrU(94{V#}3hJl-6T7 zW@lOlmoG{=WY6!WE3}i33PLDeORdN00lbZDVqf?JG{mdBMmS3eFzPlul4R|sCVZ5! zz#>&V!8o|kp*G5yI__n_D1}iNk7qo48W?_X9{)|F9(FERA& z)8;Wq^Av7R(;=znH{_uL*ffU{PxsXg!#lQ(L6X*a6w(7VFS~Gh9)`Ul=L9eaxM}y0 zPPGPf2jU|1WQ(8nC!LyV>~9G6yZDQ6^+VS7a8~wq>8q!uo(7+n1SM_TETY*976oig z{}xG$hBxO3~ySX?6W7YLiIC!-gqt%!siPDz-D?3S7}15EC{UHvci| zCU_F`UJ^q;)EcBUyS#dX=R2GRx(|@!SsqS3G^3UW6eVS4@8$n8bpBH$rTml3eNPN` zw{(HC^o{%NYgt=0iuLMrcbBmzSZo7yY6fcg;Q_|cTq^--aO|X=e;`ne+8r!82u_f9 zJ3aSzPzw1Iagh3hT%ygi2rRUw zT9S3(s(jYX>oGcr=7Tr*nGFaeuLlP!qS{l7yK3(p_{f0)>KME_Z;!D0$Q*-bb)y+4 z>tE0R#)KQ=i%&IY{@Bicn4U&Ht;3of)q6wU!>x(OgQb+OL2PMmh26@aZys|8(~h^M z)X+AkELhJLZAoce2>igpHs*GY>3NKIBxud5B>%C$!<4t#QjT88jiN{!?K@c_xwtI` z=`yin04ZLoD%?r6R>jH*LdECl*WpUhUa#J;4Hf?v8|3>9U_ez|cv%^9PECm4UwYVX zvMP5MeK}Z8K&HCcQB(%Nn2;IpFmDM3rbBgAiTQM>O?n?{zK?RZVFeo+~z0R>v46Y`_bFQ z1#!VXuyXI{(>FUpe}fbArA#o3tU5I6u;Njpio!h*e6rO1{M(A2|0i5>XH^VJH7l-~ zo`mtB%<9)`bJ-f|*W!BqoKC3UiT9Bnuy3t*Z&%{J-@y`_D$R<=atn`^Y6^3#sjRje zyIHk2rIS+n2Wn^|D;B+NizH84fgI@8{qRr7<9SoxuM)r4+P~6@9K&?l91~Q++Vu-g zf=_Dl#N*RRG@IAq(N5SYV{1mlHgF{Q4v1(FchK2!z*z;i@?wj7UaOSp@bK`7|6=Tc zZw5Tp*K=RCtN(Pk`qoUC?PW?r)%(ra3iNT`HJyYup~~_kbxYXz_;lfp?AZ1`F^yv1 z<5yOH)iR(;k!ds_>=2lL$LBQX$p|RORnND^P_}NQWtUaTP-vj}TUNSva^ldWBQXXS zY-L6heB)CYQ<_{!6{^%8>=+5f-$Bp@@MXQNWxRAbf^{M}D!$p2E7qhDJRjsLO?$o` zC|$wTetxrX%iih=%`6Mbhh9i3h@kP8tKAn@nAriD*{>vKv%kRLgxfT(6@>ac^Z5<) z{+rwFYpo*1werz!Pw(^IzeX2&n9ro64;zuPX1gA;U(!s%ymW6?6AFste#nx@b% zT|Q$yOMs0W1YBS|x)|Y%VJMThfBKs%fn~7h!GbF=u*Ozf$AE(}cC{9MI!-F<&p8+6Dv%hBS*P6&Tt9 z>?_2B?BcfQ&*2XPUY6-JKeGp+Qw;4+XhbhG#B*u5s0Pu*_gapBTARgE3WJm$@HKMx zwwk=Y)3xK)rYase>)WCo9y!{8#t}&HNIeJL#3$u!ilXm~8d#=(?|FJX935-g+Hzhf z^<UZ)y~w6!8hFqqAxBect!>}xdiU2hwH)H04y$Wx!$}h^Uy7%U zn@Ky)AdU7LjD{kBUKsxO{-L8sk50Uaj_QeBJ6Pt#f6r$~j6n3MwD zL1dJkRw-?-Cit++teQB}_tKX(o{YC`O31nxo>+@H=o3VMo^+iS?tmezL6XZ3a4UXj zp(X#4FAoZS{KCVA9@cf#14$z_Bm8n5)Ug6a79HVSQ3NQ>OPh^$)y&MyQ3Mk102B-- zJ=Td0vBEto{b|lhDq*A3)bB01U7xiq4I^ApGf)#JN#gsWdrLSo``?L2% zzvd|&H?d0yjX8N$-o*F$8a^osBAhKYk{YBO!vo%8v zh)NL=N*-e6;CF3~oac@kD2b$5L-7fV#a-OTYnU0wqExTa3&GQxcYP@;BqYSo53=$u zit~v!UpUiN$_&w* zPs$iwAtuoYB){x87=6Z>;`u4e$EVUAecob8*1kZUphekU4wD`B3=gl8R>!}jGCy$< zfQ6}M{=%IB<+*$?_e_g*Ow`ns3A@|7jjiTirM zdWd`Px8C~+BxL>*@6(TdD$J!p7oHRSqw6vHCp$a4_O;D3ixf-_xAns~XO;Hih*Pr~ z4FeGkvq@;0!dau__b8QbxL&ciy_dBNJ5;}X3mA%Yu!tg>)310kRrpZSlUKdnK1*)j z2dDAzbSXOZecFM9*g?oqisma(B-p|mSYzXrKdR>}l^bnI$Fa@Jr&n3)dyj7n8xK{> z@rE$Ys1@IJp1ca#X=dnWI?*2VWHI4H@K&aOy1pj)`37WjV2VUpz{Men?ZKrE%OYsJ zRckbCZLkGx0HJYk4+Vag=&Q)z9M4$(V(BbWxH;tgQwV^tzfQ;xlRrqNgm{!xROg!O z%520KTE&oyE<5gE_KYEm2ufpM?1M$_qRnU!osA))KH(q-d0!oA3QUG|tv39;e2qd} zR@&_MB+@x9$$-sXk!M2^SYSKfV-&#f2N6ox6GHfnBN(y@O@s@#=Xsubk}gXCuAIS9 zRq_`B_>SYzaA%!Nx;mw!$v;E8p$sv}XoR>N@3wn-LV$gj_Q?5Q$@{o9=kcOASt?aE zQ^dI>EOgr)FIN||nqHPcFZs(#;VtBchSj6s6DRxsKgv)$qPQR}Spjmvwy0+G)C|JU*69^r-OTU;C%}G+!WJ7a;P^abJ9{@);AnVYm4J zoYj}_l;a`C-c>_S#n9z9nS%CY^mQO#Y$@3#;!>$R%gg~&u`|gP0{73WC2uVk1?VE+ z)5TGdc#XVPxD`2bMtC!@zBmHRNFZzN%d76bFvW@JH!ldKu5{Ld;wqN|;c#q&jW{G_ z9!Mn+n~`+HLQBV8!gzM3Lox`@*Olu`aTtd!C%77KFa|!95qZYWnxBru(59=g#K>c6 zB+7?g-`|s?IkY6-YH6(1^&_{lqoq@EGt#_@LlEz&4Su9SZ1o_~g?nL1Aa2k6td_~E zh^amJ#u3y1Czm1ece|S)C9R$+bOv|VqTf34rrE_G6v|d-{eN&?`t>X)rFQP`u$%VV z)jIQ6i$E=xG@ADnK9(tj$JDLAGopGTAUM@LpEMD0<3Ep^sov}5E`2x1@MlA1A69%P z&_C-iR`X$24`BH`Vf4C+7G~ia2-@N{@GHay--0tx>PBje4b(d}{T*JHY=%0?morZK zqe>#G1Hp<92>t-kA2Zz3mh+bd?bo8e?^*s4b!=gvRB`8q;ZT9b3aF4XIt(3XffVEe z{)%-gFYldD@W?ttI?aEC=_9W_Y~Vg2Lc)xd#i+1n21V6k3^$ zbm|*@dT~Mcj+axr;sb8Yi-mvvuc3TUCJoX04OX3CkXh;A(gp`L$sJ4a%ne~@M_v_ANH=|3CR0IbTz$<&M`D5GQ7||<8f7mGmABp2G z9MSGq*zX1QU*NLQ@q7dQ8VA~-IGat85`_2$2tnU|5jNIcdg0~?iF<6kUbaA{l_lQS@I{V=wlbIf zZz}I*Z6iGC<$F`G&8>GUnZ2~X*gBG@I4MqV-q$^r3Og8oFB4UbTwfq(Ch9&JX#Uyr zM>-DU`=T}yiKrDji2+6+6la^~bIz!SkzDN|RCC901eoXH?4H31ezKq6kdgA!XR$R2 zXONtwZTtz~qQ8hX-*oy3c z%38$fo&qr*8d6m;k}6{Qms|xLbcp2P$__;L-PH4D+I1sjQ>U z-uFkO+ZOAZ#s=eg-tKFti!0yltGkZwe9Uh>L+CSZ3a{9auai>bjD=~{+CjAJ1>B8+ zwb3Jkm!BV%hM!2zjMJq(sv#HI?&hmes=)KGHOE%HAVaZi4Le}LgG1PJ8KDlu?)Z!< z9%<+WD3Ff!`z_u!D5n(Zl3hk~FFErP{6Esk5{NWY6i{Ok+OMupjk|MJt7w9OIADQA zFiS}>bAv&v3r>!P*GO~CO+hx>0k0^{_oM?w*6-o=lG@NA{Dmc>H#kaa{_lLGF5&dT zxR@j59bvFWRg4b|ga}krQ~Yr%rBJu-(b5y<;W2_{_$Bw7$$9(JF zTKp}KG+L(cVULQ}t(gzGUIF_2-DbKbX7De^(zvkJwiP1s9HWEXqPiBQQG_+Mr~5h_ z&pcX0jyK_eBJ2Yqc?&%i>xeFu-mraj=z;c{xAb1*-M~_dy>~|13#SIa&?{%>Hk|2T z(0?1oPcK%ti=!4w@=$Bhdw1vkc3Jb~$=*jV+lB(EX~O5mx{ z^FHJz()r5o&D?Q3h?#t4R=;Qme%h&{V{*5ZVP8KW_u2egHnRZ^$sRUZE~5VmsR%M3 zb^ub|%XZ)9(fk-P)Dxi_B30R1wQqys0e$omN zHNxLo1dlS^P-}6demKt~m-*|p&>Wh3_(|udncP4-X_Q={fff}X7ozR2=j@J;2~*Qc zQTXfqtFmD(-rs)ZB(<=Qaq=m(8*U1P=?!;qXg013u&io5=sY*o<&n(Dgvi0 zgbnX)0xnjV@Jqiq8yW$b4Ayw*F1UyJdYG`J0*%EV7aae>eN>i#0Si;Y1Vy9^x;+yA zC4WK{tZ>Qkfc8S1z8^8qav_l_SP0l2;rrzyIhO#WHT!$oM>R3#`E4#UJ3C!!tHX1o z((M~kGV)4@82Nh+dkCv1g^OD}IilJ}x$W$TF*jK^i}YyD=_w(4!B6B#R(Obk=;*Is zge6_lxb!S3nXYmS=v(#Za40Rt4GdHK`QT6vnQ_D1VHLCQ40J*)tNdM#W-@a3{*DP% ze?tT5K?g;mr4vgAw?lM!hYoY#;f4LPC}c)IO8jSi^Rgx782Ar~zcV+-8BxE~YbZvp z3If&Qu|YrFB%)uZPye_gyetmho22`M_*H;WB{8d06Ov$ufny_(1)6Ako{UW={*0lx zsW7UKsMdw64gmZBHNCO;@bC}>?SpqUor;pujwb`?OAP!cDKV!6`T0FhRyshqb(6Uf zn&f;@rq6$KJ|#G4zrVyy_W9j4_(hppKs>Byu?GP`cTr*Q8^wS^n9wd4>n!}tS&KC# zToUKPK23tZw^6Ukk^_;z^PVcfWns{O3E`aN2bjU=s4X@_)wdK@FN|v1J#i2;|1^vy zLoyK#9ITpz-`*gmE?W!*{B|UnFrH07i*tS10{!~7)I}H40&h12MXMiRH%K*DDYNkA zNE7n81}K?Q@%u($4XQZb^C4cKhd^~Zy1&mnrnzijy)f~A@zZjiI2mnvb0=SCALE%^ zEomh@wsnG4|hVeGT4_JXmp!X=B@UBbMQ5_uZ$Tt&}+bd?P>eUGJlRHjRM%R~l7$ z%8+j@Bzc)H!w0%^;2^0Ab0idau03eF`!7u9>t7QF;X)m z5<&TZYz3v#hy1@p)br656rga&c)g-vLjz zJ8npSTD~7zJ|Shms&RKvTT!_OT3ce{`-chFJ)FhU)Y9W(ON@Iic>E)10`>K$ z0q*JUC-kNyU04iz?D7bS$fzmZ8dn}ciEA+oN7c_PL z4_AinXEX+B{*oE>ow{49F;U3;hFd8aSi*QQ!{DZp6wLD8Hk5u{UTdCnQd#zBOCwqf zu}`)&!XVJX@|u3t>w2aM5So%Nnz?r*N#KIgBm zYi(^Ev$z26q-!ZhYiY#1)T3u%M}&IsEdGp*smdOq5A)z8nQ(1TJzZA~m0N1ehh~6Ed)>d+Gg!0` zZw;@GWtg*$m>ubR4&p>!e`o#KMwde#V~ur_?InaV?GDpe4rXmjPs!%}(m>QI6iPfc z->Y|#^Ndh>#@uqJpuZxBT~)2NPWRY~*BRA8k%zU;(0YQ~nMN8%63@2T3F8dO4aunh z2WJl9=+!Ju#-HiC@75ndd888cs#Lrn*we}jLnbTeT4hstt zQdIo}MoBGoV(piaa``xI-;Y0DwLpddsQ~Q-@wj_b61g)rgb13_u2LjSQ}4xHlaAH^ z7UtiaqX!2}YDX@(PV3CbhvLpB3F$6c8wIXn8!(u7K5(7l3T7_#Y8lq$2?z^g(X=;^ zxGAE}%Wyu-w$ep4;5vLLpVm*yl!V&pVeXjq>J0mDOHIYUDka@|o&U;eO$dhxQ zUOn+C=g7Aet}-;o+vbCr1LV2K6`}Gz13Q9Noa$IJ$@hgvN|jzo*B^H}-Jc^l8^DYc zHv0%&qUNc`8AScx<>S5%q_*pW&l@0DU>?G}p1*vP#mXSX$aT;`Mkh+pQ-JndN%nx% zDm+ybxViL+jg4FI&!;~~;4rg{QbWY>lYebG1Mh2`2i+RSbvT<04|5oYOVqCmi z7tXH3Ha#XRZ0b*Re=Gvp@}DP<>!EFR9sLVW684>z|riR>=) zEFrUr$p@qczQI?kM(3CC$B8AWG1UGZD)@b-eJ4NdrEW-R4J2j17)g zAIh4OPX%6bIkMfxws?}H4EiP*FPMuT+SHaB8TGa@m>dr+OwmMo4c!tKd@R$&lQBr*_{3RMxs8mMqBP;p>1oE;AgqjBY zUadk>H{cW$5CHZ%&<8IRoiHEk_r>&yy&<$USbfEu`znzZ@g5_SzZywe#HRlnTiCxh z3jLza9CGoCrY>D&UQl-bRP58Wt(I@kdf&UPA8pKR;(VGEfmOO^ym3mfqkKP*5<)BP1Vva(k)O`}oH>_S+8I<&ssaIv_{| z{~Ye4^27YvXK)f+7hXdVEA#c~bud$JV_Vyk=wsiLfx-I^kA0$#r~ld@KAYL4yx7gA z0S8IGZ(@8eEc$lL!jCY?Dt4sjI{?+N^KEP<8_t6j-Dp+}xRsxd+}rLR?~Ze_v+s&D^R37d_#nFx&Opf-;$1co zfwVww8_Cp_?3OsHARK@D=H-K>Ed`6Ev$9j z4fVeC?AzSnKXvJ5P?MPdu-Xog#brzqM)Qx!4s+5MB<=X^TCHK*dQ)~3D(<2tFVy{( zJdl4R!gArkDA`c(FEUEVK)CDV2SvOeYw90it_6>r&eAp04e$66&QmIMFidro2AU0K zn$I<%E^H-JyA_vXe+5|Vd@+RBWQiDC8EsK4@z6h0;KXqv{0XT1{3GE2k$#wSEK^dQ z-F~q@yXJRuTxybcfp0kXIQ^6ECV8$Y3|qgW*$v*va7@|1+Z8WCllm^~dEor>)4}_F z!kL`k0W|0((NX$inA7R0wH>> z*4^ge$MN(akRm)D9X}2aL{zk-Z55GC>|THoxj~2{2XNT~P#smj($^$`R#^ec19UH#wW(;byk)A zX6Q%$ChHgq%gyZGIxIA`E>mD>&xEgO@{{?Ukb`Z0z5qDC3VlR z4WU@cjr(d_?QbL!(lhte?pGgRA-dr|TyPnYXOIH;$`7i`zbC+&VeR;Ro#XNR+d?wz zbRnfoh~Wuo2=16?bhc-jMol2*#_fqO3Ba*{K>AT?z(P1dDXGAMV`*pw00&{C1A`;08e?Op**C)ys=ZgxcPEx_ z$T1k;a0#czIr>Of|GxCr(%AcVhv?kCfkL2iQNU2-PjLuhg4*}Z++19^NH9O1XDmCU zgpCdVlOyQ1q{K~*dWZ-Kaq&ylG?cc=pu)`?9W%~*iv@ZRJ$nqsueVI^G0Jn)a#{Z% zw0be-qXK0|4UpM2D<%@-K=QoDMS1PO)B+9vf_2#ufc{me^a0G3rKNTYjRALXOsCru z#?izzbXq49&JDZB$3Yj?_VzfJa3a+k61nMiQgcyqghQj(>Dr03T1+lcYnzyEfw%5S zQ5mFfBAJ||phk>#qp-lErS8hyu}e8@f<i* ziq!={RlrA27kAER<0nCUJ=qx5@xEbiCx*obCtr>Y(nQ?!Vw^;ZP%%t zhH4TpuF23N?v$e~;a;>Xsf=IuFK94)Siv4(43+>VgoXi)@h^kU56BLlH{?eLSiuIg zLR;@5&K(t=VWfgIoG-THV`GWh7@#`j#+U5x9ULqSF8Q2m!_dD*BXj7CgEQ~4-i!6O z9Yhac3!>U(%I>drh0RpzN;aA}nA)Z9hE`i!{acAuCdrlwH|t7yoPbsG5Ol;gYtB6^ z+)m{td|(0Xz4Uqj*Fhi2Doa#OwKOfu;8okxgZ};6v)Qkt>p9+}Jg0yM)opS@n%%j+ z=A+l;Tw%0&obh{@F$+zN^}CSq`%GnXPr!Zw?y=;U@mP`D@I$YM%Na-Nv^h4vo8PG} zLn>HLt!-CV;lE*TLbe;0yrL3FguQe7{QF7mJyzAC@q{sBLW;_g`0%vwb!a4{VX){( zXD26k=nvOAEU%LpSKrNFL>ELFESa0A(BOEllNIr-&XdzjRGRV+WnEp82JYmd4haR_ z6sw8@mEU)@MtO8)Z6dg7{}v{QU*25@AEB3{kwPGjvIMaEh-`E6c6wcwTL8Z=;Fn@| zqkBzKzF8(nnH5jQI6dAd^o{4WI zN3pp5oe1^g79S8y4Dyi6zUiKL{M!7+A3N~s48pH56Z1>nMR%M1{f=?i=LO}1d)-e% z%wN}A%0vzfv3+s%QPp#Fbvr`Vi%<%$%asXvQe_vLWP9isw-ZcG^s`9lXFjMgUZ)mz z6rxWiWKn*5SA!v#hd)p9ktiXqzk3|tHCG;@{p>yJ7?7%xU{*)<{#(}tkFz2rC?pij zMu2o<;-n(nuV}Q!tg_?QGF67~uaCxn!Dd_^{?6OKfYvM0WhfQT&KIx`p5PjLd%oLY z3N<<08p^0v0b^57g;mB7GWl-{E(wvw5xlM|Amb84G16WAJY2X`()W+V$h+X4fP80E zcpmWe51Ua}tJfvd#x#1hg4@Zl@3FUMy~m1~`_tnC;1fZAS#(^gHuUNA@)9_u_C#Dg z3%HbX{ZcQ>UI$F$e&5&f5cYb#D#|Xwr;2+yjvqvrm>GSeJ|IpC)+*V7U+bv(UG54x z5(Oot#Me((e3^UAB7%aFc_sC3ER^6>fEo$F3^CCIf5W1XbDS{5K+AE`pl7%EO=n6$ zZ)gM8A(e@Oh*+4pDAXecouat88UpL{CR9}x*I>tvz5OwOidz7s?=_f4?flu*3%7Jl zy^}B|z80?hc?I5?xVn5^Dym=Ys@)`m@{~`$#)lI{y-ZrQx~^6KW`Ps+3bBK(9e(V3 z%$_r_$`F&j%!65GswJDl$aY5m64N-O_Tup6Kv#DG)=o`$>u`um z)|uVq5A!qDcb61(1+L9{qY0mB=qe-d)5_GVKn$J*2HrMG3S`B}g@gd0mRxzIObl@8 zglJe$N~36?n*d`!@KVG@ed=2uvj}cclt68?1(9TcGBK7{LrD46<%({rD*PHHMzBqZ zNx>f^7SSV_J3n*JFI7VNgsX5P1km@<--T6h2>!+prxq14lisT_g1luHEv_RvlI_n=0ij>O$7mV@1I-iEzO$VMdkuy)m919sn|? znOvTq526MT?$6li(|UEzyRq1hCT5`Bf%bw=IN%?9Pp((fBAp3~DU3{M%^7~h<2RC; zW73YoePtt#!tFf$?}b9;V_-x>)`Ck+BVtGqT&_X22H|=;0+DU2)NKjH{ObFrLWOt> zl3AUnYPgL{utJ){OigXoF)&#qD4t{+lq6ci{eS}DR>KcXX`lFfPD3|Ikfx3Ps*`4- z#w{!-yYWEIlxB3}C~zkwE`*Sloqo~xpx4wrf{_bGULMw}i>{saCMECAQhnYSdDQu! zB#m#f%qHn^ckioDApK5Hd5ZctX`IF7=jENl%2Y@A+a@$JY|`xs?HoP3j_j~A3bvaq3xv+vlqe zs9(WLpK3O~J(+cWGf{ z-K@>8)o50l-(*Vhhq(bL7Pk{f?s`N5cqm&KLNIJ=pTQnX0Gj_(;Wn~T_`qMWISX$- z-xcSW;Y}oZ!Rf2~m+W2j-Ze&SVl^gGmG~;%yM6#sSG~A9Zo|>0MwT*WL3PIz1%5+W zo4#UvvHCQc3oJ>+7Ouz!Y8{zhdbW@eo}a2ej&MmXhi#q0kh%&E)4_ItZ)5c8FeFuB zWs84W0=_&$W{|`IX?Y@VUu<*?dLe=3@iMupaZ90#>ok<2Khr^@mkvLM(MdKVI>K=& zm4t-LDJ9v9Oar|W%N8%}jg3Ku?`PY1-m z^mlJ^!(Zo=@q0|wy69czd+vAY3@NG`VY8n5NT@&B)^0opq8o~mv~7>{rRxNsy zc3f;S+btgc)d*FBqsKqrS!^1(+ZSv0s$O7+G55F%Rv2-0Ese-Ev&HMvc7Eva%jPt6 zUqZKgkC?t;sp@tFz<8JGnw*Z_6YNwg^N0AN0V=;MO}8=ee+*oV+b!m$NF3K~~3 z9~6j@ghLf6uTq+5cA`U~(+a;zM@TBv`WMa7E`noq0;CkD#i<%BtwdojU@58pnnp}7 zOH7DwG0R-R1PVsy$Nt!|jTuwgUr0aRH?hb$zJ}0ZsylV(Jn>V;rnUXVq4Bw14Z{qN zcn8)!yn{^v{s&l9^&h76;kNLr_Jt8Vdht+^*Bb!)qf6oc;pw66=?X-wW7!AqGvGXo$KQyXwp4P1rg?YoyaEOWqZX#&5D(@$V)HOIW4C z#jaxWByxvCI-xYSmEA_wb;Qc^AXI+R$^#HaQ6f4K`{sqmn$u^)6{*aQ-<^CNsR?IJ z983Zeg!K5h3@AO7G5NLB3Nt^aR*#SZ1vbNDZgQ_i>Izrts0CwGKf8kV z`uBUSXFY#Ej9AhwsM~2?#uV*qCo&H4dZz!@EwN=7raX^NLlvlB~{DP3xS0N#08&GxyoY9Nq-vSLWLuAh&|Bmh~Wtick}3S+Q^Xy zC1HfZ-D>2zy%nw&J>j?p2RluHIO@iP16bO?75`HK`sQ0WD*7x*XqVwU&yJqOhdldk zH*|fDDSqBvBW`)Et5pY!zm{z<*pSlogy_S2ivw3F2j1V{?K6%Bp4p9m+=>Q^$LWvD zLwu&ZovA=#&}ugAFz3Ow4-1lg!ZjyY!{yWlD+@!;+P_iczg5gl9s&@gJs{ytTZopS zZx#kG1wn4pP1WpA8s70*jWq{8pQ}Z8^|C3jhYL5Gs@87^J-fRGqdUzkB_6p!!hz!^ zw4_*dsSGw#r9QFWR0x~u!m%$wnMHagF;1_oj$rKcMq+u9{t1g|8EoVLeGeNo0{3F| z)&3>f?S8#&9z#_^5ZlNdAfhb_3mV@}BtNTA;VY34p?so2Y)2&?`Y=jOLze^}|NWyK zJi6|(RgNfZAtcb_m?IBT{^u+)Hj0*RbeSIISDaKvQX^8!dM4^XZN#MD<{5flbXpTR z$KS_NF`5xkHdd6n8jJ%S#~Y(ngUupF&w}zQ-m^d*`c~Vqd++znWX+-!j%Lk&k8U}S zxw2ZDzilpW+1C8zr+W8gn7X@)>oc*Usf$9^VtVP8MkdGJLb=4&0;Xzn;gt9o!j$!W z+mOwwhR)0QKndP<|7k?-VqSJ<13W0Hl;(Kn>0?J~W=4&qgpowmYvEzA=$ye_=GA(q zjF*OZ36(K<>?_oGatVKh*TDvVr7ZBrHxV2PQ3p~{v_futfU$*uq;;^%< zZq^|>OFiKlK+46?o!s2aEVY5rndz*&rDOf$&2Rm5()^=#{IQMlNVMCa$2GP`+TQEf z$1&0IMJm%>@&4P?xre)}veMgC96t@%RL=cC4wvFNXhQ!nm4J2<;`D!vp9lWMtM_%2 zGQ-tDVF}OP`I)B}SyoATJI-prLv6ydTS`gWmrAv;Z;`99nHEA!?}2egiT*bU04EI0 z3*GkkEOChl-<}j%I>4uqu3Z7+4^4+tlMA|wuU^FmAg~~O1QK;JYD>;MQPpETO8x^+ zUZ3yCy*akD1auV!5+n9+FR5M1Yc*b4spp<663k+w2ab7alKceNUAUapfMu$v<#3Wm zKRYwGWwC_Q^<9NO8tx+em^P6tjnv^-QBo?bJ#eR`F)a zSNc*)#~l|D>z#cNflc782_Al!|KwU`jEJpqWL;v-qt5lLe!vE>{ z!xf27ps=N2ebzr53fT({6GGPk_HFmA1GzxX2&rCg6MJvvE>8ePZri}vC9s*1j1qir zeR{lO9Rdg_`Fjr)&KDQ%eS7-%J^Erqxgtf$6emC_K6Uu~0!(mpjUOKb><-423G1z3 zH#aXEPZCU;Y4)Hxrj;cv{{5^%#eLBeT_+A$Ya4x4EH|$-BE^FRI6pEASx;fgwIPYq zy=lblsY~hfHmQVA9Fw-Z575mBgscf0`!n4(u(H1k?@DJ!`PD@@Vf}-G$M)IUAPU}c zet}WsgSlMgi1AN3)j`?5*}`&RjK(I%eedvDHVB;PYP%eAGP3udKDA@dpHA;r53LvsUh%-!q#YGGHQk{E-(mi^Ex2sBe*$UI@AkBwC+^Jh`2*}UJLePrSKfmE)+;XGQ9}F08p&|Ka7gPG z#)$z&#KSh!#Po4Bj4BkD+M+RPJPG_o_Llds!AS62*{CgP>kbK|sw|<9pGYWBB*^6?J(7n_3zOGdVdwaIt@HpokfiE4ch}BK#fz)sz1v@BC zkUSX*Nx3+UGFXYT;Pr3Z7U` zN>zn7c!JV*dCYd0@Y*mA^eSYpOU*!z9}Bk61dG3Q1|VlU{Mdi>c2c5$RZTbOEp4IR zRT+X+XTPSqZX)Q*9<1P%XM01LyU{_@}ACTWLw7FPm3Q&TatxjN9WP^CnBJ& z5nGAc?{RTQw#0e|tD9<`BaxVX#ZTg=_6bZULBd;-slhFX!E4k^vMEoE(TWR~6fpU0 zL`^E}qn04SD4A#{gt&XQUB6t^Z}#q%z|s3*<5!@vCsB=o%@En5yd)|p_6*S8+4><9 zjwQPWKjiJf~kywEu!PW=nq=%zs`;q-exBs^5nKZ z{rZg>LS7$Gv)ZwkohvIT@j0uJmN~!k#RgInM6Xpcf3P1}^yH3^r`v(Q|f+dxED-0z0lJ+2z&6ol9`qP>k>tTX3@1~j)j%IwCb2Nd#0#Re3r zFZFWeA8`?$^<=m;>D0C`e30=zJp^gxtSPgnG>j(NY8*1b-AV>=SX*^&5v#*1vmHC?*_8N2QhIB6FhVSPl(-cEXx5rFs z&)3M38lWSZeXM>tqK%*8U#}&M`DirX?I!d(y;9w+D?=mLZ_Ln`VON1Eyx}fKgEllT zHmqTaZD&%eN5^ZI(B%@RTIEY_t^E0Y8PcRU1J6T4k4L25z$C^;OY=@iMr7GC4Soj z@@}qg&6T=8chZ2(Ek4@_af?cLus9l4LK#~ab zCN+KgRc#{V*nVe;Icl)W*r!v``lF%pMrb^(iHP=9rdd-7=i~M#_T=&t8VvD9g?krZ zD=Qj96_u?@e&|kTA;iQK%)IPqxXyV~;}PnK(nc;%HqoYU+(8Qgifd;?zyL?5kl0W;IAxE7!t_pP^**`Vn zdY<%cjeNw3$2fC=#M3drW+>4Fe8q5+1O?XNUUxSC!AUMFNf#ba9S*327vJ|nLX0nM zE}FxRBsDPgb%OlLc65F3)BE{;!8BE!{+JnCCR^dv0B2`R>glW2IBET6*s)h*1M1AX zlmv%QlE-fcT6$VlNvw49u3!3g&UKP~&^6!xaKBqu&MUNe}3 zBr~TuUlBe8W|U`_PZW)>--zD_sr0RAMSLAo31lJ4$?p&Nz{Dd`UBlgyLgsd@?R|e~`CDLa~eFD#V5G?dGXD3KTd# zL32dFl5=F{<0zEse!j20?ARQDSJSVVH$b^93wSPje4!J0k~=q=i$RO0;7%kJH~u6` z?q-xa=!AuXwh2?`*u-2deC(QGW`znR?~1hQUQ|4~ITjAvztQOpY=30FbbAap=63K$ z&WM&fHg>=b>n@d!Jo{njlI0rcTf6`2$VZNdqmlBaS-k(BmV05TLz_8WVco^;+c$JQ zHAK_@MOXI2aEAseuu>5BNyH{XKLR#qbAsvQ=jV0O{L|G}ol!fc&>lW_LCq%4g*K7m zHE+eb4?8gZFSZy*RKb+TisHng<&v0z;a7Gsw z`)U}em*1h;=ME)SRh}hx(yIB{jgE3643~xv2%HifRv)q};$u@=7Bd%$UZAmLwYPs$ z{YP0wgD7W_pKYW_0P;q{A8@$KpSjqOBID3wo}gILORR9VLpwJS^l{%f(RLVBO!>$E zWf40$1dg4b#N{l68@+pQNSFY%MGG%DPI~Xo2akDxuEu_Hb;ns(s{l-t0bj4OSfvG8 zN*zcppN(Vfa{De1wNcKWzg+IJ2Q71Pd)ri53HZAg>;S@^E*fpG2@vbX+#NYHbm$UjamwwH^ow+mp=;qQo$ z=XZ^Cq04;X@)dY)B6Jbb_`Yc=?T$%&Wnf$Wv8Jn){|M+MIv%)w4qUzf8t=_t{suwm znHxZh3V>Z1sGG}Ssh=a8Uw*$oiL~O@M_9#J-25U*(AbsavEo2$ftU#Ux>@~p-ELtxCd|YuMQc$$q7J={A_ZyOk9r4C3SR+jpE#s} zKGI>Zh>KQ<3tcS^qY9>*5hPq$)&RpWw(q{#!Vrsb1hp1iPo-Sgxh3gPVQKs7F?Hmu zL1A?)FW1cEBe#